From b4a068061a01cdc0117293a603e607c93766e507 Mon Sep 17 00:00:00 2001 From: Chen Zhang Date: Tue, 26 Aug 2025 13:51:26 -0400 Subject: [PATCH 1/6] enable pixi --- .gitattributes | 2 + .gitignore | 3 + README.md | 59 +- config_conda_env.sh | 52 - pixi.lock | 12428 ++++++++++++++++++++++++++++++++++++++++++ pixi.toml | 208 + 6 files changed, 12692 insertions(+), 60 deletions(-) create mode 100644 .gitattributes delete mode 100755 config_conda_env.sh create mode 100644 pixi.lock create mode 100644 pixi.toml diff --git a/.gitattributes b/.gitattributes new file mode 100644 index 00000000..887a2c18 --- /dev/null +++ b/.gitattributes @@ -0,0 +1,2 @@ +# SCM syntax highlighting & preventing 3-way merges +pixi.lock merge=binary linguist-language=YAML linguist-generated=true diff --git a/.gitignore b/.gitignore index 83c2da50..e8a53a19 100755 --- a/.gitignore +++ b/.gitignore @@ -18,3 +18,6 @@ build/* dist/* .pytest_cache/* .idea/* +# pixi environments +.pixi/* +!.pixi/config.toml diff --git a/README.md b/README.md index aef1e51a..2fa2d5dc 100755 --- a/README.md +++ b/README.md @@ -7,9 +7,47 @@ This repository provides various notebooks for users of the neutron imaging beamlines at ORNL. Full tutorial of most of the notebooks can be found at [here](https://neutronimaging.pages.ornl.gov/tutorial/). +## Prerequisites + +This project uses [Pixi](https://pixi.sh/) for environment and dependency management. Install Pixi: + +```bash +curl -fsSL https://pixi.sh/install.sh | bash +``` + +## Quick Start + +1. Clone the repository: +```bash +git clone https://github.com/ornlneutronimaging/python_notebooks.git +cd python_notebooks_development +``` + +2. Install dependencies: +```bash +pixi install +``` + +3. Launch Jupyter Lab: +```bash +pixi run lab +``` + +## Available Commands + +- `pixi run lab` - Start Jupyter Lab +- `pixi run notebook` - Start Jupyter Notebook +- `pixi run test` - Run tests +- `pixi run test_imports` - Verify all packages import correctly +- `pixi run test_all` - Run all tests +- `pixi run check` - Run installation check + +For development: +- `pixi run -e dev lint` - Run code linting + ## Instructions -To learn how to access or install the notebooks, and how to run them, refer to the complete tutorial found on our imaging web site https://neutronimaging.pages.ornl.gov +To learn more about the notebooks and how to use them, refer to the complete tutorial found on our imaging web site https://neutronimaging.pages.ornl.gov ![Screen Shot 2021-06-11 at 8 03 33 AM](https://user-images.githubusercontent.com/1138324/121683900-000cc080-ca8c-11eb-815f-5ff52731dba7.png) @@ -52,14 +90,19 @@ To turn debugging mode on, add the flag -d (--use_debugging_mode) to the command $ python before_and_after_github_script.py -a -d ``` --> -To run the tests -``` -$ cd notebooks -$ export PYTHONPATH=$PWD:$PYTHONPATH -$ pytest +To run the tests: +```bash +pixi run test +# or +pixi run test_all # runs all test suites ``` ## Deployment -An updated deployment strategy is underway. +This project uses Pixi for reproducible environments. The `pixi.lock` file ensures consistent dependencies across all installations. + +### Environment Management + +- Default environment: `pixi shell` or `pixi run ` +- Development environment: `pixi run -e dev ` -Currently, notebooks are distributed directly by the Computational Instrument Scientist. +Notebooks are distributed directly by the Computational Instrument Scientist. diff --git a/config_conda_env.sh b/config_conda_env.sh deleted file mode 100755 index 1879310e..00000000 --- a/config_conda_env.sh +++ /dev/null @@ -1,52 +0,0 @@ -#!/bin/bash - -# update base conda -conda update -y -n base -c defaults conda - -# install dependencies from main channel -conda install -c conda-forge nodejs=15.14.0 - -conda install -y \ - requests \ - requests-oauthlib \ - numpy \ - scipy \ - pandas \ - scikit-image \ - matplotlib \ - plotly \ - jupyter \ - jupyterlab \ - qtpy \ - pyqtgraph \ - inflect \ - astropy - -# install dependencies from conda-forge -conda install -y -c conda-forge \ - lmfit - -conda install -c conda-forge nbstripout - -conda install -c oncat pyoncat - -# install additional from pip -pip install \ - chardet \ - h5py \ - algotom \ - neutronbraggedge \ - NeuNorm \ - sectorizedradialprofile \ - ImagingReso \ - ipywidgets \ - changepy \ - tqdm \ - werkzeug=2.0.1 \ - pystackreg - - -# build Jupyter lab -jupyter labextension install @jupyter-widgets/jupyterlab-manager -jupyter nbextension enable --py widgetsnbextension -jupyter lab build diff --git a/pixi.lock b/pixi.lock new file mode 100644 index 00000000..bbb4c109 --- /dev/null +++ b/pixi.lock @@ -0,0 +1,12428 @@ +version: 6 +environments: + default: + channels: + - url: https://conda.anaconda.org/conda-forge/ + - url: https://conda.anaconda.org/neutronimaging/ + - url: https://conda.anaconda.org/oncat/ + indexes: + - https://pypi.org/simple + packages: + linux-64: + - conda: https://conda.anaconda.org/conda-forge/linux-64/_libgcc_mutex-0.1-conda_forge.tar.bz2 + - conda: 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b/pixi.toml @@ -0,0 +1,208 @@ +[workspace] +authors = ["Chen Zhang "] +channels = ["conda-forge", "neutronimaging", "oncat"] +name = "python_notebooks_development" +platforms = ["linux-64", "osx-arm64"] +version = "0.1.0" + +# Base dependencies (always included) +[dependencies] +python = "*" +requests = "*" +requests-oauthlib = "*" + +# ============================================ +# Feature: Scientific Computing +# ============================================ +[feature.scientific] +[feature.scientific.dependencies] +astropy = "*" +scipy = "*" +pandas = "*" +scikit-image = "*" +h5py = "*" +lmfit = "*" +pillow = "*" + +# ============================================ +# Feature: Supporting Libraries +# ============================================ +[feature.support] +[feature.support.dependencies] +poco = "*" + +# ============================================ +# Feature: Visualization +# ============================================ +[feature.viz] +[feature.viz.dependencies] +matplotlib = "*" +plotly = "*" +dash = "*" + +# ============================================ +# Feature: Jupyter and Notebooks +# ============================================ +[feature.jupyter] +[feature.jupyter.dependencies] +jupyterlab = "*" +ipympl = "*" +ipywidgets = "*" +jupytext = "*" +nbstripout = "*" + +[feature.jupyter.tasks] +lab = "jupyter lab" +notebook = "jupyter notebook" +build_extensions = """ +jupyter labextension install @jupyter-widgets/jupyterlab-manager && +jupyter nbextension enable --py widgetsnbextension && +jupyter lab build +""" + +# ============================================ +# Feature: Excel Support +# ============================================ +[feature.excel] +[feature.excel.dependencies] +xlrd = "*" +openpyxl = "*" +xlsxwriter = "*" + +# ============================================ +# Feature: Qt and GUI +# ============================================ +[feature.gui] +[feature.gui.dependencies] +qt = "*" +qtpy = "*" +pyqt = "*" +pyqtgraph = "*" + +# ============================================ +# Feature: Utilities +# ============================================ +[feature.utils] +[feature.utils.dependencies] +inflect = "*" +werkzeug = "*" +tqdm = "*" +pyoncat = "*" + +# ============================================ +# Feature: Testing +# ============================================ +[feature.test] +[feature.test.dependencies] +pytest = "*" + +[feature.test.tasks] +test = "cd notebooks && export PYTHONPATH=$PWD:$PYTHONPATH && pytest" +test_imports = """python -c ' +packages = [ + "astropy", + "scipy", + "pandas", + "skimage", + "h5py", + "lmfit", + "matplotlib", + "plotly", + "dash", + "jupyterlab", + "ipympl", + "ipywidgets", + "jupytext", + "nbstripout", + "xlrd", + "openpyxl", + "xlsxwriter", + "PyQt5", + "pyqtgraph", + "tqdm", + "pyoncat", + "pytest", + "neunorm", + "neutronbraggedge", + "ImagingReso", + "changepy", + "sectorizedradialprofile", + "ipywe" +] + +import sys +failed = [] +for pkg in packages: + try: + if pkg == "skimage": + __import__("skimage") + elif pkg == "PyQt5": + __import__("PyQt5") + elif pkg == "neunorm": + __import__("NeuNorm") + elif pkg == "ImagingReso": + __import__("ImagingReso") + else: + __import__(pkg) + print(f"✓ {pkg}") + except ImportError as e: + print(f"✗ {pkg}: {e}") + failed.append(pkg) + +if failed: + print(f"\\nFailed to import: {failed}") + sys.exit(1) +else: + print("\\nAll packages imported successfully!") +'""" + +# ============================================ +# Feature: Development +# ============================================ +[feature.dev] +[feature.dev.dependencies] +pre-commit = "*" +ruff = "*" + +[feature.dev.tasks] +lint = "ruff check notebooks/" +format = "ruff format notebooks/" +clean = "python notebooks/_before_and_after_github_script.py -b" +restore = "python notebooks/_before_and_after_github_script.py -a" + +# ============================================ +# PyPI Dependencies (all environments) +# ============================================ +[pypi-dependencies] +neunorm = "*" +changepy = { git = "https://github.com/JeanBilheux/changepy" } +ipywe = "*" +neutronbraggedge = "*" +sectorizedradialprofile = "*" +imagingreso = "*" + +# ============================================ +# Environments +# ============================================ +[environments] +# Default environment includes all features +default = { features = ["scientific", "support", "viz", "jupyter", "excel", "gui", "utils", "test"], solve-group = "default" } + +# Development environment includes everything plus dev tools +dev = { features = ["scientific", "support", "viz", "jupyter", "excel", "gui", "utils", "test", "dev"], solve-group = "default" } + +# Minimal environment for CI/CD or lightweight usage +minimal = { features = ["scientific", "utils", "test"], solve-group = "minimal" } + +# Jupyter-only environment +jupyter = { features = ["scientific", "viz", "jupyter", "utils"], solve-group = "jupyter" } + +# ============================================ +# Global Tasks (available in all environments) +# ============================================ +[tasks] +# Installation check +check = "python util/installation_check.py" + +# Combined test task +test_all = { depends-on = ["test_imports", "test"] } \ No newline at end of file From 260d1d06adc6a5280dcf8f97fae90691684cef92 Mon Sep 17 00:00:00 2001 From: Chen Zhang Date: Tue, 26 Aug 2025 14:05:54 -0400 Subject: [PATCH 2/6] switch to pyproject.toml --- conda/neutron-imaging-dev.yml | 52 - conda/neutron-imaging.yml | 49 - environment.yml | 44 - pixi.lock | 2607 +++++++++++++++++---------------- pixi.toml => pyproject.toml | 167 ++- 5 files changed, 1514 insertions(+), 1405 deletions(-) delete mode 100755 conda/neutron-imaging-dev.yml delete mode 100755 conda/neutron-imaging.yml delete mode 100644 environment.yml rename pixi.toml => pyproject.toml (53%) diff --git a/conda/neutron-imaging-dev.yml b/conda/neutron-imaging-dev.yml deleted file mode 100755 index 3fc29e5e..00000000 --- a/conda/neutron-imaging-dev.yml +++ /dev/null @@ -1,52 +0,0 @@ -name: neutron-imaging-dev -channels: - - conda-forge - - neutronimaging - - oncat -dependencies: - # Base - - python - - requests - - requests-oauthlib - - pre-commit - # Compute - - astropy - - scipy - - pandas - - scikit-image - - h5py - - lmfit - - inflect - - werkzeug - - NeuNorm - # Plotting - - matplotlib - - plotly - - dash - # Jupyter - - jupyterlab - - ipympl - - ipywidgets - - jupytext - - nbstripout - # Excel - - xlrd - - openpyxl - - xlsxwriter - # Qt - - qt=5.15.8 # Avoid unexpected qt upgrades - - qtpy>=1.9.0 - - pyqt>=5.15,<6 - - pyqtgraph - # Util - - tqdm - # ORNL - - pyoncat - # test - - pytest - # neutronimaging + pip_only_deps - - pip: - - changepy==0.3.1 - - neutronbraggedge==2.0.6 - - sectorizedradialprofile - - ImagingReso==1.7.5 diff --git a/conda/neutron-imaging.yml b/conda/neutron-imaging.yml deleted file mode 100755 index 4957d570..00000000 --- a/conda/neutron-imaging.yml +++ /dev/null @@ -1,49 +0,0 @@ -name: neutron-imaging -channels: - - conda-forge - - neutronimaging - - oncat -dependencies: - # Base - - python - - requests - - requests-oauthlib - # Compuate - - astropy - - scipy - - pandas - - scikit-image - - h5py - - lmfit - - inflect - - werkzeug - - NeuNorm - # Plotting - - matplotlib - - plotly - - dash - # Jupyter - - jupyterlab - - ipympl - - ipywidgets - - jupytext - - nbstripout - # Excel - - xlrd - - openpyxl - - xlsxwriter - # Qt - - qt=5.15.8 # Avoid unexpected qt upgrades - - qtpy>=1.9.0 - - pyqt>=5.15,<6 - - pyqtgraph - # Util - - tqdm - # ORNL - - pyoncat - # neutronimaging + pip_only_deps - - pip: - - git+https://github.com/JeanBilheux/changepy@master#egg=changepy - - neutronbraggedge==2.0.6 - - sectorizedradialprofile - - ImagingReso==1.7.5 diff --git a/environment.yml b/environment.yml deleted file mode 100644 index 7e154e3b..00000000 --- a/environment.yml +++ /dev/null @@ -1,44 +0,0 @@ -name: python311_jupyter_notebooks -channels: - - conda-forge - - neutronimaging -dependencies: - - python=3.11 - # - nodejs=15.14.0 - - nodejs - - requests - - requests-oauthlib - - numpy - - scipy - - pandas - - scikit-image - - matplotlib - - plotly - - jupyter - - jupyterlab - - qtpy - - pyqtgraph - - inflect - - astropy - - lmfit - - nbstripout - # - pyoncat - - pip: - - chardet - - h5py - - algotom - - neutronbraggedge - - NeuNorm - - sectorizedradialprofile - - ImagingReso - - ipywidgets - - changepy - - tqdm - - werkzeug==2.0.1 - - pystackreg - - timepix-geometry-correction - -# # build Jupyter lab -# jupyter labextension install @jupyter-widgets/jupyterlab-manager -# jupyter nbextension enable --py widgetsnbextension -# jupyter lab build diff --git a/pixi.lock b/pixi.lock index bbb4c109..80412a7d 100644 --- a/pixi.lock +++ b/pixi.lock @@ -11,21 +11,20 @@ environments: linux-64: - conda: https://conda.anaconda.org/conda-forge/linux-64/_libgcc_mutex-0.1-conda_forge.tar.bz2 - conda: 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"https://github.com/ornlneutronimaging/python_notebooks/issues" + +################### +### Pixi config ### +################### + +[tool.pixi.workspace] channels = ["conda-forge", "neutronimaging", "oncat"] -name = "python_notebooks_development" platforms = ["linux-64", "osx-arm64"] -version = "0.1.0" # Base dependencies (always included) -[dependencies] -python = "*" +[tool.pixi.dependencies] +python = "3.11.*" requests = "*" requests-oauthlib = "*" # ============================================ # Feature: Scientific Computing # ============================================ -[feature.scientific] -[feature.scientific.dependencies] +[tool.pixi.feature.scientific] +[tool.pixi.feature.scientific.dependencies] astropy = "*" scipy = "*" pandas = "*" @@ -27,15 +46,15 @@ pillow = "*" # ============================================ # Feature: Supporting Libraries # ============================================ -[feature.support] -[feature.support.dependencies] +[tool.pixi.feature.support] +[tool.pixi.feature.support.dependencies] poco = "*" # ============================================ # Feature: Visualization # ============================================ -[feature.viz] -[feature.viz.dependencies] +[tool.pixi.feature.viz] +[tool.pixi.feature.viz.dependencies] matplotlib = "*" plotly = "*" dash = "*" @@ -43,15 +62,15 @@ dash = "*" # ============================================ # Feature: Jupyter and Notebooks # ============================================ -[feature.jupyter] -[feature.jupyter.dependencies] +[tool.pixi.feature.jupyter] +[tool.pixi.feature.jupyter.dependencies] jupyterlab = "*" ipympl = "*" ipywidgets = "*" jupytext = "*" nbstripout = "*" -[feature.jupyter.tasks] +[tool.pixi.feature.jupyter.tasks] lab = "jupyter lab" notebook = "jupyter notebook" build_extensions = """ @@ -63,8 +82,8 @@ jupyter lab build # ============================================ # Feature: Excel Support # ============================================ -[feature.excel] -[feature.excel.dependencies] +[tool.pixi.feature.excel] +[tool.pixi.feature.excel.dependencies] xlrd = "*" openpyxl = "*" xlsxwriter = "*" @@ -72,8 +91,8 @@ xlsxwriter = "*" # ============================================ # Feature: Qt and GUI # ============================================ -[feature.gui] -[feature.gui.dependencies] +[tool.pixi.feature.gui] +[tool.pixi.feature.gui.dependencies] qt = "*" qtpy = "*" pyqt = "*" @@ -82,8 +101,8 @@ pyqtgraph = "*" # ============================================ # Feature: Utilities # ============================================ -[feature.utils] -[feature.utils.dependencies] +[tool.pixi.feature.utils] +[tool.pixi.feature.utils.dependencies] inflect = "*" werkzeug = "*" tqdm = "*" @@ -92,12 +111,13 @@ pyoncat = "*" # ============================================ # Feature: Testing # ============================================ -[feature.test] -[feature.test.dependencies] +[tool.pixi.feature.test] +[tool.pixi.feature.test.dependencies] pytest = "*" +pytest-cov = "*" -[feature.test.tasks] -test = "cd notebooks && export PYTHONPATH=$PWD:$PYTHONPATH && pytest" +[tool.pixi.feature.test.tasks] +test = "cd notebooks && export PYTHONPATH=$PWD:$PYTHONPATH && pytest tests/ -v" test_imports = """python -c ' packages = [ "astropy", @@ -159,21 +179,24 @@ else: # ============================================ # Feature: Development # ============================================ -[feature.dev] -[feature.dev.dependencies] +[tool.pixi.feature.dev] +[tool.pixi.feature.dev.dependencies] pre-commit = "*" ruff = "*" +pip-audit = "*" -[feature.dev.tasks] +[tool.pixi.feature.dev.tasks] lint = "ruff check notebooks/" format = "ruff format notebooks/" -clean = "python notebooks/_before_and_after_github_script.py -b" -restore = "python notebooks/_before_and_after_github_script.py -a" +clean_notebooks = "python notebooks/_before_and_after_github_script.py -b" +restore_notebooks = "python notebooks/_before_and_after_github_script.py -a" +# Non-blocking audit - just warns about vulnerabilities +audit = "pip-audit --local || echo 'Warning: Some vulnerabilities found. Consider updating dependencies.'" # ============================================ # PyPI Dependencies (all environments) # ============================================ -[pypi-dependencies] +[tool.pixi.pypi-dependencies] neunorm = "*" changepy = { git = "https://github.com/JeanBilheux/changepy" } ipywe = "*" @@ -184,7 +207,7 @@ imagingreso = "*" # ============================================ # Environments # ============================================ -[environments] +[tool.pixi.environments] # Default environment includes all features default = { features = ["scientific", "support", "viz", "jupyter", "excel", "gui", "utils", "test"], solve-group = "default" } @@ -200,9 +223,85 @@ jupyter = { features = ["scientific", "viz", "jupyter", "utils"], solve-group = # ============================================ # Global Tasks (available in all environments) # ============================================ -[tasks] +[tool.pixi.tasks] # Installation check check = "python util/installation_check.py" # Combined test task -test_all = { depends-on = ["test_imports", "test"] } \ No newline at end of file +test_all = { depends-on = ["test_imports", "test"] } + +# Clean all caches and build artifacts +clean = 'rm -rf .pytest_cache .ruff_cache **/__pycache__ notebooks/**/.ipynb_checkpoints' + +############## +### Pytest ### +############## + +[tool.pytest.ini_options] +# Adjusted for notebook testing +addopts = "-v --cov=notebooks --cov-report=term-missing --cov-report=html" +pythonpath = [".", "notebooks", "notebooks/__code"] +testpaths = ["notebooks/tests"] +python_files = ["test*.py"] +norecursedirs = [ + ".git", + "tmp*", + "_tmp*", + "__pycache__", + "*dataset*", + "*data_set*", + ".ipynb_checkpoints", +] +# Add markers for different test categories +markers = [ + "slow: marks tests as slow (deselect with '-m \"not slow\"')", + "integration: marks tests as integration tests", + "unit: marks tests as unit tests", +] + +############ +### Ruff ### +############ + +[tool.ruff] +target-version = "py311" +line-length = 120 +# Exclude notebooks from direct linting (we'll handle them separately if needed) +exclude = [ + "*.ipynb", + ".ipynb_checkpoints", + "__pycache__", + ".git", + ".ruff_cache", + ".pytest_cache", +] + +[tool.ruff.lint] +# Selected rules appropriate for scientific notebooks +select = [ + "E", # pycodestyle errors + "F", # pyflakes + "I", # isort + "N", # pep8-naming + "W", # pycodestyle warnings + "UP", # pyupgrade + "B", # flake8-bugbear + "C4", # flake8-comprehensions + "NPY", # NumPy-specific rules + "PD", # pandas-vet +] +ignore = [ + "E501", # line too long (handled by formatter) + "N802", # function names should be lowercase (scientific computing often uses math notation) + "N803", # argument names should be lowercase + "N806", # variable in function should be lowercase + "PD901", # avoid using 'df' as variable name (common in notebooks) +] + +[tool.ruff.lint.isort] +known-first-party = ["__code"] + +[tool.ruff.format] +quote-style = "double" +indent-style = "space" +line-ending = "auto" \ No newline at end of file From 0f7baddca4f4568cd2f16fb016255c9d09f48891 Mon Sep 17 00:00:00 2001 From: Chen Zhang Date: Tue, 26 Aug 2025 14:34:15 -0400 Subject: [PATCH 3/6] add pre-commit hooks and linting --- .pre-commit-config.yaml | 72 +++++++++----- .yamllint | 9 ++ notebooks/tests/test_imports.py | 59 +++++++++++ pyproject.toml | 169 ++++++++++++++------------------ 4 files changed, 185 insertions(+), 124 deletions(-) create mode 100644 .yamllint create mode 100644 notebooks/tests/test_imports.py diff --git a/.pre-commit-config.yaml b/.pre-commit-config.yaml index 0b233c4b..c4613876 100755 --- a/.pre-commit-config.yaml +++ b/.pre-commit-config.yaml @@ -1,27 +1,47 @@ +exclude: "^pixi.lock$" repos: -- repo: https://github.com/pre-commit/pre-commit-hooks - rev: v4.6.0 - hooks: - - id: check-added-large-files - args: [--maxkb=8192] - - id: check-merge-conflict - - id: check-yaml - args: [--allow-multiple-documents] - exclude: "conda.recipe/meta.yaml" - - id: end-of-file-fixer - exclude: "tests/cis_tests/.*" - - id: trailing-whitespace - exclude: "tests/cis_tests/.*" -- repo: https://github.com/astral-sh/ruff-pre-commit - rev: v0.6.3 - hooks: - - id: ruff - args: [--fix, --exit-non-zero-on-fix] - exclude: "tests/cis_tests/.*" - - id: ruff-format - exclude: "tests/cis_tests/.*" -- repo: https://github.com/codespell-project/codespell - rev: v2.3.0 - hooks: - - id: codespell -exclude: "notebooks/" + - repo: https://github.com/pre-commit/pre-commit-hooks + rev: v5.0.0 + hooks: + - id: check-added-large-files + args: [--maxkb=8192] + - id: check-json + - id: check-merge-conflict + - id: check-toml + - id: check-xml + - id: check-yaml + args: [--allow-multiple-documents] + - id: end-of-file-fixer + exclude: "notebooks/.*\\.ipynb$" + - id: trailing-whitespace + exclude: "notebooks/.*\\.ipynb$" + - repo: https://github.com/astral-sh/ruff-pre-commit + rev: v0.8.6 + hooks: + - id: ruff + args: [--fix, --exit-non-zero-on-fix] + exclude: "notebooks/.*\\.ipynb$" + - id: ruff-format + exclude: "notebooks/.*\\.ipynb$" + - repo: https://github.com/codespell-project/codespell + rev: v2.3.0 + hooks: + - id: codespell + exclude: "notebooks/.*\\.ipynb$" + args: ["--skip=*.js,*.html,*.css"] + - repo: https://github.com/adrienverge/yamllint + rev: v1.35.1 + hooks: + - id: yamllint + - repo: https://github.com/ComPWA/taplo-pre-commit + rev: v0.9.3 + hooks: + - id: taplo-format + - repo: local + hooks: + - id: pixi-lock-check + name: pixi-lock-check + entry: bash -c "pixi lock --check" + stages: [pre-push] + language: system + pass_filenames: false diff --git a/.yamllint b/.yamllint new file mode 100644 index 00000000..92162878 --- /dev/null +++ b/.yamllint @@ -0,0 +1,9 @@ +extends: default + +rules: + line-length: + max: 120 + level: warning + document-start: disable + truthy: + allowed-values: ['true', 'false', 'on', 'off'] diff --git a/notebooks/tests/test_imports.py b/notebooks/tests/test_imports.py new file mode 100644 index 00000000..c2f42600 --- /dev/null +++ b/notebooks/tests/test_imports.py @@ -0,0 +1,59 @@ +""" +Test that all required packages can be imported successfully. + +This ensures that the environment is correctly set up with all dependencies. +""" + +import importlib + +import pytest + +# List of all packages that should be importable +REQUIRED_PACKAGES = [ + "astropy", + "scipy", + "pandas", + "skimage", + "h5py", + "lmfit", + "matplotlib", + "plotly", + "dash", + "jupyterlab", + "ipympl", + "ipywidgets", + "jupytext", + "nbstripout", + "xlrd", + "openpyxl", + "xlsxwriter", + "PyQt5", + "pyqtgraph", + "tqdm", + "pyoncat", + "pytest", + "NeuNorm", # imports as NeuNorm, not neunorm + "neutronbraggedge", + "ImagingReso", + "changepy", + "sectorizedradialprofile", + "ipywe", +] + + +@pytest.mark.parametrize("package_name", REQUIRED_PACKAGES) +def test_package_import(package_name): + """Test that each required package can be imported.""" + try: + importlib.import_module(package_name) + except ImportError as e: + pytest.fail(f"Failed to import {package_name}: {e}") + + +def test_critical_notebook_utilities(): + """Test that critical notebook utilities are importable.""" + # Add any critical local modules from notebooks/__code/ here + # Example: + # from __code import file_handler + # from __code import metadata_handler + pass # Remove this when adding actual imports diff --git a/pyproject.toml b/pyproject.toml index e6d2e2eb..b113ecb8 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -69,13 +69,14 @@ ipympl = "*" ipywidgets = "*" jupytext = "*" nbstripout = "*" +ipython = "*" [tool.pixi.feature.jupyter.tasks] lab = "jupyter lab" notebook = "jupyter notebook" build_extensions = """ -jupyter labextension install @jupyter-widgets/jupyterlab-manager && -jupyter nbextension enable --py widgetsnbextension && +jupyter labextension install @jupyter-widgets/jupyterlab-manager && +jupyter nbextension enable --py widgetsnbextension && jupyter lab build """ @@ -117,64 +118,8 @@ pytest = "*" pytest-cov = "*" [tool.pixi.feature.test.tasks] -test = "cd notebooks && export PYTHONPATH=$PWD:$PYTHONPATH && pytest tests/ -v" -test_imports = """python -c ' -packages = [ - "astropy", - "scipy", - "pandas", - "skimage", - "h5py", - "lmfit", - "matplotlib", - "plotly", - "dash", - "jupyterlab", - "ipympl", - "ipywidgets", - "jupytext", - "nbstripout", - "xlrd", - "openpyxl", - "xlsxwriter", - "PyQt5", - "pyqtgraph", - "tqdm", - "pyoncat", - "pytest", - "neunorm", - "neutronbraggedge", - "ImagingReso", - "changepy", - "sectorizedradialprofile", - "ipywe" -] - -import sys -failed = [] -for pkg in packages: - try: - if pkg == "skimage": - __import__("skimage") - elif pkg == "PyQt5": - __import__("PyQt5") - elif pkg == "neunorm": - __import__("NeuNorm") - elif pkg == "ImagingReso": - __import__("ImagingReso") - else: - __import__(pkg) - print(f"✓ {pkg}") - except ImportError as e: - print(f"✗ {pkg}: {e}") - failed.append(pkg) - -if failed: - print(f"\\nFailed to import: {failed}") - sys.exit(1) -else: - print("\\nAll packages imported successfully!") -'""" +test = "pytest notebooks/tests/ -v" +test_imports = "pytest notebooks/tests/test_imports.py -v" # ============================================ # Feature: Development @@ -209,16 +154,44 @@ imagingreso = "*" # ============================================ [tool.pixi.environments] # Default environment includes all features -default = { features = ["scientific", "support", "viz", "jupyter", "excel", "gui", "utils", "test"], solve-group = "default" } +default = { features = [ + "scientific", + "support", + "viz", + "jupyter", + "excel", + "gui", + "utils", + "test", +], solve-group = "default" } # Development environment includes everything plus dev tools -dev = { features = ["scientific", "support", "viz", "jupyter", "excel", "gui", "utils", "test", "dev"], solve-group = "default" } +dev = { features = [ + "scientific", + "support", + "viz", + "jupyter", + "excel", + "gui", + "utils", + "test", + "dev", +], solve-group = "default" } # Minimal environment for CI/CD or lightweight usage -minimal = { features = ["scientific", "utils", "test"], solve-group = "minimal" } +minimal = { features = [ + "scientific", + "utils", + "test", +], solve-group = "minimal" } # Jupyter-only environment -jupyter = { features = ["scientific", "viz", "jupyter", "utils"], solve-group = "jupyter" } +jupyter = { features = [ + "scientific", + "viz", + "jupyter", + "utils", +], solve-group = "jupyter" } # ============================================ # Global Tasks (available in all environments) @@ -239,24 +212,24 @@ clean = 'rm -rf .pytest_cache .ruff_cache **/__pycache__ notebooks/**/.ipynb_che [tool.pytest.ini_options] # Adjusted for notebook testing -addopts = "-v --cov=notebooks --cov-report=term-missing --cov-report=html" -pythonpath = [".", "notebooks", "notebooks/__code"] +addopts = "-v" +pythonpath = ["."] testpaths = ["notebooks/tests"] python_files = ["test*.py"] norecursedirs = [ - ".git", - "tmp*", - "_tmp*", - "__pycache__", - "*dataset*", - "*data_set*", - ".ipynb_checkpoints", + ".git", + "tmp*", + "_tmp*", + "__pycache__", + "*dataset*", + "*data_set*", + ".ipynb_checkpoints", ] # Add markers for different test categories markers = [ - "slow: marks tests as slow (deselect with '-m \"not slow\"')", - "integration: marks tests as integration tests", - "unit: marks tests as unit tests", + "slow: marks tests as slow (deselect with '-m \"not slow\"')", + "integration: marks tests as integration tests", + "unit: marks tests as unit tests", ] ############ @@ -268,34 +241,34 @@ target-version = "py311" line-length = 120 # Exclude notebooks from direct linting (we'll handle them separately if needed) exclude = [ - "*.ipynb", - ".ipynb_checkpoints", - "__pycache__", - ".git", - ".ruff_cache", - ".pytest_cache", + "*.ipynb", + ".ipynb_checkpoints", + "__pycache__", + ".git", + ".ruff_cache", + ".pytest_cache", ] [tool.ruff.lint] # Selected rules appropriate for scientific notebooks select = [ - "E", # pycodestyle errors - "F", # pyflakes - "I", # isort - "N", # pep8-naming - "W", # pycodestyle warnings - "UP", # pyupgrade - "B", # flake8-bugbear - "C4", # flake8-comprehensions - "NPY", # NumPy-specific rules - "PD", # pandas-vet + "E", # pycodestyle errors + "F", # pyflakes + "I", # isort + "N", # pep8-naming + "W", # pycodestyle warnings + "UP", # pyupgrade + "B", # flake8-bugbear + "C4", # flake8-comprehensions + "NPY", # NumPy-specific rules + "PD", # pandas-vet ] ignore = [ - "E501", # line too long (handled by formatter) - "N802", # function names should be lowercase (scientific computing often uses math notation) - "N803", # argument names should be lowercase - "N806", # variable in function should be lowercase - "PD901", # avoid using 'df' as variable name (common in notebooks) + "E501", # line too long (handled by formatter) + "N802", # function names should be lowercase (scientific computing often uses math notation) + "N803", # argument names should be lowercase + "N806", # variable in function should be lowercase + "PD901", # avoid using 'df' as variable name (common in notebooks) ] [tool.ruff.lint.isort] @@ -304,4 +277,4 @@ known-first-party = ["__code"] [tool.ruff.format] quote-style = "double" indent-style = "space" -line-ending = "auto" \ No newline at end of file +line-ending = "auto" From 6fa5520e8be7417f38e21fdab77fca5335af36d6 Mon Sep 17 00:00:00 2001 From: Chen Zhang Date: Tue, 26 Aug 2025 14:47:22 -0400 Subject: [PATCH 4/6] update github actions --- .github/dependabot.yml | 29 ++++ .github/workflows/pre-commit-autoupdate.yml | 57 +++++++ .github/workflows/test-and-deploy.yml | 162 ++++++++------------ .github/workflows/update-lockfiles.yml | 80 ++++++++++ pyproject.toml | 2 +- 5 files changed, 227 insertions(+), 103 deletions(-) create mode 100644 .github/dependabot.yml create mode 100644 .github/workflows/pre-commit-autoupdate.yml create mode 100644 .github/workflows/update-lockfiles.yml diff --git a/.github/dependabot.yml b/.github/dependabot.yml new file mode 100644 index 00000000..08ac1ea0 --- /dev/null +++ b/.github/dependabot.yml @@ -0,0 +1,29 @@ +version: 2 +updates: + # Enable version updates for GitHub Actions + - package-ecosystem: "github-actions" + directory: "/" + schedule: + interval: "monthly" + open-pull-requests-limit: 5 + commit-message: + prefix: "chore" + include: "scope" + + # Enable version updates for Python dependencies (via pyproject.toml) + - package-ecosystem: "pip" + directory: "/" + schedule: + interval: "monthly" + open-pull-requests-limit: 5 + commit-message: + prefix: "chore" + include: "scope" + # Only update direct dependencies + allow: + - dependency-type: "direct" + # Group updates to reduce PR noise + groups: + python-dependencies: + patterns: + - "*" diff --git a/.github/workflows/pre-commit-autoupdate.yml b/.github/workflows/pre-commit-autoupdate.yml new file mode 100644 index 00000000..842cd4d3 --- /dev/null +++ b/.github/workflows/pre-commit-autoupdate.yml @@ -0,0 +1,57 @@ +name: Pre-commit auto-update + +on: + schedule: + # Run at 00:00 on the first day of every month + - cron: "0 0 1 * *" + workflow_dispatch: + +permissions: + contents: write + pull-requests: write + +jobs: + auto-update: + runs-on: ubuntu-latest + steps: + - uses: actions/checkout@v4 + + - name: Setup pixi + uses: prefix-dev/setup-pixi@v0.8.1 + with: + pixi-version: latest + manifest-path: pyproject.toml + environments: dev + + - name: Update pre-commit hooks + run: | + pixi run -e dev pre-commit autoupdate + + - name: Run pre-commit + run: | + pixi run -e dev pre-commit run --all-files || true + + - name: Create Pull Request + uses: peter-evans/create-pull-request@v6 + with: + token: ${{ secrets.GITHUB_TOKEN }} + branch: update-pre-commit-hooks + title: "chore: update pre-commit hooks" + body: | + ## Automated pre-commit hooks update + + This PR updates the pre-commit hooks to their latest versions. + + ### What changed + - Updated pre-commit hooks in `.pre-commit-config.yaml` + - Applied any automatic fixes from the updated hooks + + ### Review checklist + - [ ] Review the changes made by updated hooks + - [ ] Verify tests still pass + - [ ] Check that linting rules are still appropriate + + --- + *This is an automated PR created by the pre-commit-autoupdate workflow.* + commit-message: "chore: update pre-commit hooks" + delete-branch: true diff --git a/.github/workflows/test-and-deploy.yml b/.github/workflows/test-and-deploy.yml index ab416690..6c07f437 100755 --- a/.github/workflows/test-and-deploy.yml +++ b/.github/workflows/test-and-deploy.yml @@ -1,113 +1,71 @@ name: Test and Deploy -on: [push, pull_request] +on: + push: + branches: [main, next, qa] + pull_request: + workflow_dispatch: jobs: + run-unit-tests: + runs-on: ubuntu-22.04 + timeout-minutes: 60 + name: Run tests + steps: + - uses: actions/checkout@v4 + with: + fetch-depth: 0 + fetch-tags: true - run-unit-tests: - runs-on: ubuntu-22.04 - timeout-minutes: 60 - name: ubuntu-22.04 - steps: - - uses: actions/checkout@v3 - - uses: conda-incubator/setup-miniconda@v2 - with: - auto-update-conda: true - mamba-version: "*" - environment-file: conda/neutron-imaging-dev.yml - cache-environment-key: ${{ runner.os }}-env-${{ hashFiles('**/neutron-imaging-dev.yml') }} - cache-downloads-key: ${{ runner.os }}-downloads-${{ hashFiles('**/neutron-imaging-dev.yml') }} - - name: Map the Branch Name to a Conda Environment - uses: neutrons/branch-mapper@modifiedMain - id: envname - with: - prefix: "neutron-imaging" - suffix-default: "-dev" - - name: Install dependencies - timeout-minutes: 60 - shell: bash -l {0} - run: | - echo "installing additional dependencies if needed" - - name: Run tests - shell: bash -l {0} - run: | - cd notebooks - python -m pytest tests/ + - name: Setup pixi + uses: prefix-dev/setup-pixi@v0.8.1 + with: + pixi-version: latest + manifest-path: pyproject.toml + cache: true + environments: default - trigger-deploy-conda-environment: - runs-on: ubuntu-22.04 - timeout-minutes: 60 - name: test-trigger-deploy-conda-environment - if: ${{ github.ref_protected }} - steps: - - uses: actions/checkout@v3 + - name: Run import tests + run: pixi run test_imports - - name: Get changed files - id: changed-files - uses: tj-actions/changed-files@v41.0.0 + - name: Run unit tests + run: pixi run test - # Find which conda environment file we should use for the deployment - # branch `main` maps to `neutron-imaging` (YML file "conda/neutron-imaging.yml") - # branch `next` (and any other branch) maps to `neutron-imaging-dev` - - name: Map the Branch Name to a Conda Environment - uses: neutrons/branch-mapper@modifiedMain - id: envname - with: - prefix: "neutron-imaging" - suffix-default: "-dev" + - name: Run linting (informational only) + run: pixi run -e dev lint || echo "Linting issues found (non-blocking)" + continue-on-error: true - - name: Extract branch name - shell: bash - run: echo "##[set-output name=branch;]$(echo ${GITHUB_REF#refs/heads/})" - id: extract_branch + - name: Audit dependencies (informational only) + run: pixi run -e dev audit || echo "Vulnerabilities found (non-blocking)" + continue-on-error: true - - name: Trigger Deploy - id: trigger - env: - CONDAENVFILE: 'conda/${{ steps.envname.outputs.name }}.yml' - if: ${{ contains(steps.changed-files.outputs.all_changed_files, env.CONDAENVFILE) }} - uses: eic/trigger-gitlab-ci@v2 - with: - url: https://code.ornl.gov - token: ${{ secrets.GITLAB_TRIGGER_TOKEN_CONDA }} - project_id: 11833 - ref_name: main - variables: | - PLAY="update" - CONDA_ENV="${{ steps.envname.outputs.name }}" - CONDA_ENV_SOURCE="https://raw.githubusercontent.com/neutronimaging/python_notebooks/${{ steps.extract_branch.outputs.branch }}/conda/${{ steps.envname.outputs.name }}.yml" + trigger-deploy-notebooks: + runs-on: ubuntu-22.04 + timeout-minutes: 60 + # only trigger deploys from protected branches + if: ${{ github.ref_protected }} + needs: run-unit-tests + steps: + - name: Map the Branch Name to a Notebook Collection + uses: neutrons/branch-mapper@modifiedMain + id: notebook_collection + with: + prefix: "IPTS_notebooks" + suffix-default: "_testing" - - name: Annotate commit - if: ${{ steps.trigger.conclusion == 'success' }} - uses: peter-evans/commit-comment@v2 - with: - body: | - GitLab pipeline with CONDA_ENV=${{ steps.conda_env_name.outputs.name }} submitted for commit ${{ steps.trigger.outputs.web_url }} + - name: Trigger deploy + id: trigger + uses: eic/trigger-gitlab-ci@v2 + with: + url: https://code.ornl.gov + token: ${{ secrets.GITLAB_TRIGGER_TOKEN_NOTEBOOKS}} + project_id: 11602 + ref_name: main + variables: | + PLAY="imaging" + EXTRAARGS="NOTEBOOK_COLLECTION_NAME=${{ steps.notebook_collection.outputs.name }}" - trigger-deploy-notebooks: - runs-on: ubuntu-22.04 - timeout-minutes: 60 - # only trigger deploys from protected branches - if: ${{ github.ref_protected}} - steps: - - name: Map the Branch Name to a Notebook Collection - uses: neutrons/branch-mapper@modifiedMain - id: notebook_collection - with: - prefix: "IPTS_notebooks" - suffix-default: "_testing" - - name: Trigger deploy - id: trigger - uses: eic/trigger-gitlab-ci@v2 - with: - url: https://code.ornl.gov - token: ${{ secrets.GITLAB_TRIGGER_TOKEN_NOTEBOOKS}} - project_id: 11602 - ref_name: main - variables: | - PLAY="imaging" - EXTRAARGS="NOTEBOOK_COLLECTION_NAME=${{ steps.notebook_collection.outputs.name }}" - - name: Annotate commit - uses: peter-evans/commit-comment@v2 - with: - body: | - GitLab pipeline with NOTEBOOK_COLLECTION_NAME=${{ steps.notebook_collection.outputs.name }} submitted for commit ${{ steps.trigger.outputs.web_url }} + - name: Annotate commit + uses: peter-evans/commit-comment@v3 + with: + body: | + GitLab pipeline with NOTEBOOK_COLLECTION_NAME=${{ steps.notebook_collection.outputs.name }} submitted for commit ${{ steps.trigger.outputs.web_url }} diff --git a/.github/workflows/update-lockfiles.yml b/.github/workflows/update-lockfiles.yml new file mode 100644 index 00000000..52a1b1b8 --- /dev/null +++ b/.github/workflows/update-lockfiles.yml @@ -0,0 +1,80 @@ +name: Update pixi lockfile + +on: + schedule: + # Run at 00:00 on Monday (weekly updates) + - cron: "0 0 * * 1" + workflow_dispatch: + inputs: + environments: + description: "Space-separated list of environments to update (or 'all')" + default: "all" + type: string + +permissions: + contents: write + pull-requests: write + +jobs: + pixi-update: + runs-on: ubuntu-latest + steps: + - uses: actions/checkout@v4 + + - name: Setup pixi + uses: prefix-dev/setup-pixi@v0.8.1 + with: + pixi-version: latest + manifest-path: pyproject.toml + + - name: Update pixi lockfile + run: | + if [ "${{ github.event.inputs.environments }}" = "all" ] || [ -z "${{ github.event.inputs.environments }}" ]; then + pixi update --json + else + for env in ${{ github.event.inputs.environments }}; do + pixi update --environment $env --json + done + fi + + - name: Commit changes + id: commit + run: | + git config --local user.email "action@github.com" + git config --local user.name "GitHub Action" + + # Check if there are changes + if git diff --quiet pixi.lock; then + echo "No changes to pixi.lock" + echo "has_changes=false" >> $GITHUB_OUTPUT + else + git add pixi.lock + git commit -m "chore: update pixi.lock" + echo "has_changes=true" >> $GITHUB_OUTPUT + fi + + - name: Create Pull Request + if: steps.commit.outputs.has_changes == 'true' + uses: peter-evans/create-pull-request@v6 + with: + token: ${{ secrets.GITHUB_TOKEN }} + branch: update-pixi-lock-${{ github.run_number }} + title: "chore: update pixi.lock" + body: | + ## Automated pixi.lock update + + This PR updates the `pixi.lock` file with the latest compatible versions of dependencies. + + ### What changed + - Updated pixi.lock to use latest compatible package versions + - All version constraints in pyproject.toml are still respected + + ### How to test + 1. `pixi install` + 2. `pixi run test_imports` + 3. `pixi run test` + + --- + *This is an automated PR created by the update-lockfiles workflow.* + commit-message: "chore: update pixi.lock" + delete-branch: true diff --git a/pyproject.toml b/pyproject.toml index b113ecb8..f0a6decd 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -213,7 +213,7 @@ clean = 'rm -rf .pytest_cache .ruff_cache **/__pycache__ notebooks/**/.ipynb_che [tool.pytest.ini_options] # Adjusted for notebook testing addopts = "-v" -pythonpath = ["."] +pythonpath = [".", "notebooks"] testpaths = ["notebooks/tests"] python_files = ["test*.py"] norecursedirs = [ From daadde87e76260961f22acc370adae51fd5e0c7e Mon Sep 17 00:00:00 2001 From: Chen Zhang Date: Tue, 26 Aug 2025 15:24:28 -0400 Subject: [PATCH 5/6] fix missing plot when notebook launch in browser --- .../__code/venus_display_nexus_tpx3/main.py | 144 ++++++++++-------- pyproject.toml | 10 +- 2 files changed, 83 insertions(+), 71 deletions(-) diff --git a/notebooks/__code/venus_display_nexus_tpx3/main.py b/notebooks/__code/venus_display_nexus_tpx3/main.py index 5fb0255e..d406ecdf 100644 --- a/notebooks/__code/venus_display_nexus_tpx3/main.py +++ b/notebooks/__code/venus_display_nexus_tpx3/main.py @@ -1,11 +1,10 @@ -from IPython.display import HTML -from IPython.display import display -from ipywidgets import widgets -from ipywidgets.widgets import interact import os + import h5py -import numpy as np import matplotlib.pyplot as plt +import numpy as np +from IPython.display import HTML, display +from ipywidgets import widgets from __code.ipywe import fileselector @@ -13,14 +12,19 @@ class VenusDisplayNexusTpx3: def __init__(self, working_dir=None): self.working_dir = working_dir - + self.output = widgets.Output() + def define_settings(self): - bin_size_label = widgets.Label(value='Bin Size (micros)') - self.bin_size = widgets.IntSlider(value=1000, min=10, max=100000, step=10, - description='', + bin_size_label = widgets.Label(value="Bin Size (micros)") + self.bin_size = widgets.IntSlider( + value=1000, + min=10, + max=100000, + step=10, + description="", ) hori1 = widgets.HBox([bin_size_label, self.bin_size]) - max_time_label = widgets.Label(value='Max time (micros)') + max_time_label = widgets.Label(value="Max time (micros)") self.max_time = widgets.FloatText(value=16667) hori2 = widgets.HBox([max_time_label, self.max_time]) @@ -28,61 +32,71 @@ def define_settings(self): display(vbox) def select_event_nexus(self): - - start_dir = os.path.join(self.working_dir, 'nexus') - self.nexus_ui = fileselector.FileSelectorPanel(instruction='Select NeXus file ...', - start_dir=start_dir, - next=self.load_data, - filters={'NeXus': ".nxs.h5"}, - multiple=False, - stay_alive=False, - sort_in_reverse=True, - sort_by_alphabetical=True) + start_dir = os.path.join(self.working_dir, "nexus") + self.nexus_ui = fileselector.FileSelectorPanel( + instruction="Select NeXus file ...", + start_dir=start_dir, + next=self.load_data, + filters={"NeXus": ".nxs.h5"}, + multiple=False, + stay_alive=False, + sort_in_reverse=True, + sort_by_alphabetical=True, + ) self.nexus_ui.show() - def load_data(self, nexus_full_path): - - with h5py.File(nexus_full_path, 'r') as hdf5_data: - event_time_offset_original = hdf5_data['entry']['bank100_events']['event_time_offset'][:] - event_id_original = hdf5_data['entry']['bank100_events']['event_id'][:] - - offset_value = 1000000 # Offset value - event_id_original -= offset_value - - event_id = event_id_original - - hist, bin_edges = np.histogram(event_time_offset_original, bins=self.bin_size.value, - range=(0, self.max_time.value)) - plt.figure(figsize=(10, 5)) - plt.bar(bin_edges[:-1], hist, width=np.diff(bin_edges), edgecolor='black') - plt.xlabel('Event Time Offset (micros)') - plt.ylabel('Counts') - plt.title('Event Time Offset Histogram') - plt.show() - - # Vectorized mapping function - def map_pixels_to_coordinates(pixel_ids): - rows = pixel_ids % 512 - cols = pixel_ids // 512 - return rows, cols - - # Initialize the full image - full_image = np.zeros((512, 512), dtype=np.int32) - - # Vectorized processing - rows, cols = map_pixels_to_coordinates(event_id) - np.add.at(full_image, (cols, rows), 1) - - # Plot the result - fig, ax = plt.subplots(figsize=(10, 10)) - im = ax.imshow(full_image, cmap='viridis', interpolation='nearest') - plt.colorbar(im, ax=ax) - ax.set_title(os.path.basename(nexus_full_path)) - plt.show() - - - - display(HTML(f"Statistics:")) - display(HTML(f"
Total Events: {len(event_id)}")) - display(HTML(f"
Unique Pixels Hit: {len(np.unique(event_id))}")) + # Display the output widget where plots will appear + display(self.output) + def load_data(self, nexus_full_path): + # Clear previous output + self.output.clear_output() + + # Use the output widget context to capture all output + with self.output: + with h5py.File(nexus_full_path, "r") as hdf5_data: + event_time_offset_original = hdf5_data["entry"]["bank100_events"]["event_time_offset"][:] + event_id_original = hdf5_data["entry"]["bank100_events"]["event_id"][:] + + offset_value = 1000000 # Offset value + event_id_original -= offset_value + + event_id = event_id_original + + hist, bin_edges = np.histogram( + event_time_offset_original, bins=self.bin_size.value, range=(0, self.max_time.value) + ) + + # First plot - histogram + fig1, ax1 = plt.subplots(figsize=(10, 5)) + ax1.bar(bin_edges[:-1], hist, width=np.diff(bin_edges), edgecolor="black") + ax1.set_xlabel("Event Time Offset (micros)") + ax1.set_ylabel("Counts") + ax1.set_title("Event Time Offset Histogram") + plt.tight_layout() + plt.show() + + # Vectorized mapping function + def map_pixels_to_coordinates(pixel_ids): + rows = pixel_ids % 512 + cols = pixel_ids // 512 + return rows, cols + + # Initialize the full image + full_image = np.zeros((512, 512), dtype=np.int32) + + # Vectorized processing + rows, cols = map_pixels_to_coordinates(event_id) + np.add.at(full_image, (cols, rows), 1) + + # Second plot - 2D image + fig2, ax2 = plt.subplots(figsize=(10, 10)) + im = ax2.imshow(full_image, cmap="viridis", interpolation="nearest") + plt.colorbar(im, ax=ax2) + ax2.set_title(os.path.basename(nexus_full_path)) + plt.tight_layout() + plt.show() + + display(HTML("Statistics:")) + display(HTML(f"
Total Events: {len(event_id)}")) + display(HTML(f"
Unique Pixels Hit: {len(np.unique(event_id))}")) diff --git a/pyproject.toml b/pyproject.toml index f0a6decd..43f05ae5 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -72,13 +72,11 @@ nbstripout = "*" ipython = "*" [tool.pixi.feature.jupyter.tasks] -lab = "jupyter lab" +lab = "jupyter lab --NotebookApp.nbserver_extensions=\"{'jupyterlab':True}\"" notebook = "jupyter notebook" -build_extensions = """ -jupyter labextension install @jupyter-widgets/jupyterlab-manager && -jupyter nbextension enable --py widgetsnbextension && -jupyter lab build -""" +lab-build = "jupyter lab build --dev-build=False --minimize=True" +lab-clean = "jupyter lab clean --all" +lab-rebuild = { depends-on = ["lab-clean", "lab-build"] } # ============================================ # Feature: Excel Support From 07579fff61d9922f209cdd316b85de79027630ba Mon Sep 17 00:00:00 2001 From: "pre-commit-ci[bot]" <66853113+pre-commit-ci[bot]@users.noreply.github.com> Date: Tue, 26 Aug 2025 19:43:08 +0000 Subject: [PATCH 6/6] [pre-commit.ci] auto fixes from pre-commit.com hooks for more information, see https://pre-commit.ci --- README.md | 2 +- notebooks/__code/__all/config_handler.py | 33 +- notebooks/__code/__all/custom_nb_styling.css | 4 +- notebooks/__code/__all/custom_style.py | 5 +- notebooks/__code/__all/mplcanvas.py | 4 +- notebooks/__code/__init__.py | 4 +- notebooks/__code/_utilities/__init__.py | 6 +- notebooks/__code/_utilities/array.py | 13 +- notebooks/__code/_utilities/color.py | 32 +- .../__code/_utilities/combobox_handler.py | 1 - notebooks/__code/_utilities/dictionary.py | 2 +- notebooks/__code/_utilities/error.py | 1 - notebooks/__code/_utilities/file.py | 435 ++++----- notebooks/__code/_utilities/folder.py | 26 +- notebooks/__code/_utilities/get.py | 1 - notebooks/__code/_utilities/images.py | 19 +- notebooks/__code/_utilities/json.py | 2 +- notebooks/__code/_utilities/list.py | 12 +- notebooks/__code/_utilities/list_widget.py | 5 +- .../__code/_utilities/metadata_handler.py | 32 +- notebooks/__code/_utilities/nexus.py | 10 +- notebooks/__code/_utilities/parent.py | 1 - notebooks/__code/_utilities/status_message.py | 1 - notebooks/__code/_utilities/string.py | 28 +- notebooks/__code/_utilities/system.py | 14 +- notebooks/__code/_utilities/table_handler.py | 20 +- notebooks/__code/_utilities/time.py | 150 ++- .../__code/_utilities/widgets_handler.py | 1 - notebooks/__code/_utils.py | 5 +- notebooks/__code/addie.py | 867 ++++++++---------- .../advanced_roi_selection_ui.py | 251 ++--- notebooks/__code/bin/bin_images.py | 142 +-- notebooks/__code/bragg_edge/bragg_edge.py | 414 +++++---- .../bragg_edge/bragg_edge_normalization.py | 421 ++++----- .../bragg_edge/bragg_edge_peak_fitting.py | 386 ++++---- .../bragg_edge_peak_fitting_gui_utility.py | 87 +- .../bragg_edge_raw_sample_and_powder.py | 467 +++++----- .../bragg_edge_sample_and_powder.py | 474 +++++----- .../bragg_edge/bragg_edge_selection_tab.py | 153 ++-- notebooks/__code/bragg_edge/export_handler.py | 323 ++++--- .../__code/bragg_edge/fitting_functions.py | 9 +- notebooks/__code/bragg_edge/get.py | 130 +-- notebooks/__code/bragg_edge/import_handler.py | 422 +++++---- notebooks/__code/bragg_edge/kropff.py | 272 +++--- .../bragg_edge/kropff_fitting_job_handler.py | 223 ++--- notebooks/__code/bragg_edge/march_dollase.py | 188 ++-- .../march_dollase_fitting_job_handler.py | 145 ++- notebooks/__code/bragg_edge/mplcanvas.py | 5 +- .../peak_fitting_evaluation/__init__.py | 2 +- .../peak_fitting_evaluation/bragg_edge.py | 413 +++++---- .../bragg_edge_normalization.py | 405 ++++---- .../bragg_edge_peak_fitting.py | 392 ++++---- .../bragg_edge_selection_tab.py | 153 ++-- .../bragg_edge/peak_fitting_evaluation/get.py | 145 +-- .../peak_fitting_evaluation/kropff.py | 271 +++--- .../kropff_fitting_job_handler.py | 223 ++--- .../peak_fitting_evaluation/march_dollase.py | 197 ++-- .../march_dollase_fitting_job_handler.py | 191 ++-- .../peak_fitting_interface_initialization.py | 159 ++-- .../bragg_edge/peak_fitting_initialization.py | 118 +-- .../peak_fitting_interface_initialization.py | 156 ++-- .../__code/calculate_water_intake_profile.py | 134 ++- .../calibrated_transmission.py | 407 ++++---- .../calculate_profiles.py | 110 +-- .../circular_profile_of_a_ring.py | 18 +- .../configuration_handler.py | 87 +- .../event_handler.py | 1 - .../export_profiles.py | 45 +- .../interface_handler.py | 351 ++++--- notebooks/__code/combine_folders.py | 183 ++-- notebooks/__code/combine_images.py | 143 +-- .../combine_images_n_by_n.py | 361 ++++---- .../combine_images.py | 148 +-- notebooks/__code/config.py | 23 +- .../create_list_of_file_name_vs_time_stamp.py | 147 ++- .../config_home.json | 2 +- .../config_work.json | 2 +- .../main.py | 408 ++++----- notebooks/__code/deal.py | 106 ++- notebooks/__code/decorators.py | 22 +- ...and_export_images_with_metadata_profile.py | 116 +-- ...splay_and_export_images_with_time_stamp.py | 169 ++-- .../display_counts_of_region_vs_stack.py | 157 ++-- ...lay_counts_of_region_vs_stack_vs_theory.py | 290 +++--- .../display_file_names_vs_time_stamp.py | 168 ++-- ...lay_imaging_resonance_sample_definition.py | 172 ++-- .../display_integrated_stack_of_images.py | 26 +- notebooks/__code/dual_energy/dual_energy.py | 185 ++-- notebooks/__code/dual_energy/get.py | 99 +- .../dual_energy/interface_initialization.py | 66 +- .../__code/dual_energy/my_table_widget.py | 100 +- notebooks/__code/dual_energy/selection_tab.py | 318 +++---- .../extract_evenly_spaced_files/__init__.py | 1 - .../event_handler.py | 28 +- .../__code/extract_evenly_spaced_files/get.py | 7 +- .../interface_handler.py | 40 +- .../interface_initialization.py | 4 +- .../extract_evenly_spaced_files/load.py | 5 +- .../extract_evenly_spaced_files/main.py | 225 +++-- .../manual_mode_interface_handler.py | 51 +- .../extract_evenly_spaced_files/statistics.py | 45 +- .../__code/extract_nexus_daslogs/extract.py | 626 ++++++------- notebooks/__code/file_folder_browser.py | 95 +- notebooks/__code/file_format_reader.py | 44 +- notebooks/__code/file_handler.py | 432 ++++----- notebooks/__code/file_metadata_display.py | 46 +- .../file_name_and_metadata_vs_time_stamp.py | 187 ++-- notebooks/__code/fix_images.py | 218 ++--- .../__code/fix_images_with_negative_pixels.py | 190 ++-- notebooks/__code/frederick_ipts.py | 156 ++-- .../from_attenuation_to_concentration.py | 70 +- ...rom_dsc_time_info_to_ascii_file_vs_time.py | 129 +-- notebooks/__code/from_json_to_csv/main.py | 141 +-- notebooks/__code/gamma_filtering_tool.py | 138 +-- .../__init__.py | 9 +- .../combine_and_move_files.py | 51 +- .../event_handler.py | 36 +- .../excel_handler.py | 362 ++++---- .../excel_table_handler.py | 79 +- .../get.py | 5 +- .../group_images.py | 101 +- .../group_images_by_cycle.py | 7 +- .../notebook_widgets.py | 219 +++-- .../repeat_widget_change_dialog.py | 19 +- .../sort_images_within_each_cycle.py | 17 +- .../utilities.py | 19 +- .../config.json | 2 +- .../group_images.py | 308 ++++--- .../group_images_by_cycle.py | 16 +- .../sort_images_within_each_cycle.py | 17 +- notebooks/__code/gui_widgets.py | 82 +- .../all_peaks_found_event_handler.py | 10 +- .../event_handler.py | 106 +-- .../export_data.py | 33 +- .../hfir_reactor_element_analysis.py | 29 +- .../initialization.py | 29 +- .../interface_handler.py | 21 +- .../missing_peaks_event_handler.py | 8 +- .../main.py | 244 +++-- .../hdf5_handler.py | 54 +- .../main.py | 327 +++---- notebooks/__code/icons/icons_rc.py | 7 +- .../dual_energy.py | 340 ++++--- .../interface_initialization.py | 529 ++++++----- ...ages_and_metadata_extrapolation_matcher.py | 176 ++-- notebooks/__code/images_metadata_matcher.py | 7 +- .../images_registration_pystackreg/main.py | 187 ++-- ..._roi_counts_vs_file_name_and_time_stamp.py | 311 +++---- notebooks/__code/interpolation_utilities.py | 35 +- notebooks/__code/ipywe/_utils.py | 37 +- notebooks/__code/ipywe/_version.py | 14 +- notebooks/__code/ipywe/base.py | 6 +- notebooks/__code/ipywe/example.py | 30 +- notebooks/__code/ipywe/fileselector.py | 150 +-- notebooks/__code/ipywe/imagedisplay.py | 60 +- notebooks/__code/ipywe/imageslider.py | 79 +- notebooks/__code/ipywe/imgdatagraph.py | 124 +-- notebooks/__code/ipywe/myfileselector.py | 365 ++++---- notebooks/__code/ipywe/tomvizjs.py | 11 +- notebooks/__code/ipywe/vtkjs.py | 11 +- notebooks/__code/ipywe/wizard.py | 27 +- notebooks/__code/linear_profile.py | 24 +- .../list_metadata_and_time_with_oncat.py | 84 +- notebooks/__code/load_images.py | 32 +- .../__code/match_images_shapes/load_images.py | 34 +- notebooks/__code/match_images_shapes/main.py | 42 +- notebooks/__code/math_images.py | 81 +- .../__code/mcp_chips_corrector/__init__.py | 50 +- .../__code/mcp_chips_corrector/alignment.py | 138 ++- .../mcp_chips_corrector/event_handler.py | 135 ++- .../__code/mcp_chips_corrector/export.py | 28 +- notebooks/__code/mcp_chips_corrector/get.py | 144 ++- .../mcp_chips_corrector/initialization.py | 2 +- .../__code/mcp_chips_corrector/interface.py | 48 +- .../mcp_chips_corrector.py | 33 +- notebooks/__code/metadata_ascii_parser.py | 264 +++--- notebooks/__code/metadata_handler.py | 40 +- .../metadata_overlapping_images/__init__.py | 2 +- .../advanced_table_handler.py | 45 +- .../metadata_overlapping_images/display.py | 187 ++-- .../event_handler.py | 56 +- .../export_images.py | 31 +- .../export_table.py | 45 +- .../general_classes.py | 3 +- .../__code/metadata_overlapping_images/get.py | 30 +- .../initialization.py | 30 +- .../metadata_overlapping_images.py | 183 ++-- .../metadata_selector_handler.py | 55 +- .../metadata_string_format_handler.py | 31 +- .../table_loader.py | 8 +- .../metadata_overlapping_images/utilities.py | 25 +- notebooks/__code/nexus_handler.py | 98 +- notebooks/__code/normalization.py | 418 +++++---- notebooks/__code/normalization/get.py | 348 +++---- .../__code/normalization/metadata_handler.py | 102 ++- .../__code/normalization/normalization.py | 434 ++++----- .../normalization_with_simplify_selection.py | 663 +++++++------- notebooks/__code/normalization/utilities.py | 102 ++- notebooks/__code/normalization_batch.py | 291 +++--- notebooks/__code/normalization_script.py | 38 +- .../__code/normalization_tof/__init__.py | 57 +- notebooks/__code/normalization_tof/config.py | 18 +- .../normalization_for_timepix.py | 452 +++++---- .../normalization_for_timepix1_timepix3.py | 450 ++++----- .../normalization_tof/normalization_tof.py | 513 ++++++----- notebooks/__code/normalization_tof/units.py | 53 +- notebooks/__code/oncat.py | 72 +- .../__code/outliers_filtering/algorithm.py | 23 +- .../__code/outliers_filtering/display.py | 13 +- .../outliers_filtering/event_handler.py | 79 +- notebooks/__code/outliers_filtering/export.py | 24 +- notebooks/__code/outliers_filtering/get.py | 1 - .../outliers_filtering/initialization.py | 48 +- notebooks/__code/outliers_filtering/main.py | 54 +- .../__code/overlay_images/event_handler.py | 369 ++++---- notebooks/__code/overlay_images/export.py | 38 +- notebooks/__code/overlay_images/get.py | 11 +- .../__code/overlay_images/initialization.py | 122 ++- .../overlay_images/interface_handler.py | 129 ++- .../__code/overlay_images/overlay_images.py | 29 +- .../automatically_stitch.py | 28 +- .../__code/panoramic_stitching/config.json | 2 +- .../panoramic_stitching/config_buttons.py | 36 +- .../data_initialization.py | 17 +- .../panoramic_stitching/event_handler.py | 235 +++-- .../__code/panoramic_stitching/export.py | 185 ++-- notebooks/__code/panoramic_stitching/get.py | 2 - .../__code/panoramic_stitching/gui_handler.py | 17 +- .../panoramic_stitching/gui_initialization.py | 134 ++- .../panoramic_stitching/image_handler.py | 126 +-- .../__code/panoramic_stitching/load_data.py | 27 +- .../__code/panoramic_stitching/mplcanvas.py | 3 +- .../panoramic_stitching.py | 194 ++-- .../__code/panoramic_stitching/profile.py | 64 +- .../remote_control_handler.py | 70 +- .../stitching_algorithms.py | 1 - .../__code/panoramic_stitching/utilities.py | 3 +- .../__code/panoramic_stitching_OLD/config.py | 27 +- .../gui_initialization.py | 198 ++-- .../panoramic_stitching.py | 192 ++-- .../panoramic_stitching_OLD/stiching.py | 307 ++++--- .../panoramic_stitching_OLD/utilities.py | 77 +- .../automatically_stitch.py | 28 +- .../best_contrast_tab_handler.py | 49 +- .../coarse_tab_handler.py | 11 +- .../data_initialization.py | 13 +- .../event_handler.py | 9 +- .../panoramic_stitching_for_tof/export.py | 67 +- .../fine_tab_handler.py | 108 ++- .../__code/panoramic_stitching_for_tof/get.py | 2 +- .../gui_initialization.py | 134 ++- .../image_handler.py | 126 +-- .../panoramic_stitching_for_tof/load_data.py | 26 +- .../panoramic_stitching_for_tof.py | 178 ++-- .../panoramic_stitching_for_tof/profile.py | 64 +- notebooks/__code/profile/display.py | 54 +- notebooks/__code/profile/export.py | 100 +- .../profile/guide_and_profile_rois_handler.py | 26 +- notebooks/__code/profile/initialization.py | 90 +- notebooks/__code/profile/profile.py | 148 +-- notebooks/__code/profile_vs_file_index.py | 184 ++-- notebooks/__code/radial_profile/display.py | 32 +- .../__code/radial_profile/event_handler.py | 79 +- .../__code/radial_profile/initialization.py | 28 +- .../__code/radial_profile/radial_profile.py | 181 ++-- notebooks/__code/registration/__init__.py | 1 - notebooks/__code/registration/calculate.py | 18 +- .../calculate_profiles_difference.py | 37 +- notebooks/__code/registration/check.py | 14 +- notebooks/__code/registration/display.py | 48 +- .../__code/registration/event_handler.py | 111 +-- notebooks/__code/registration/export.py | 42 +- .../__code/registration/file_selection.py | 20 +- notebooks/__code/registration/get.py | 11 +- .../__code/registration/initialization.py | 39 +- notebooks/__code/registration/manual.py | 120 ++- .../registration/marker_default_settings.py | 37 +- .../__code/registration/marker_handler.py | 81 +- notebooks/__code/registration/registration.py | 131 +-- .../__code/registration/registration_auto.py | 8 +- .../registration_auto_confirmation.py | 19 +- .../registration/registration_marker.py | 211 +++-- .../registration/registration_profile.py | 504 +++++----- .../__code/registration/table_handler.py | 15 +- notebooks/__code/rename_files.py | 363 ++++---- notebooks/__code/rename_files/rename_files.py | 454 ++++----- notebooks/__code/roi_selection_ui.py | 215 ++--- .../roi_statistics_vs_stack/__init__.py | 1 - .../__code/roi_statistics_vs_stack/display.py | 32 +- .../roi_statistics_vs_stack/event_handler.py | 75 +- .../__code/roi_statistics_vs_stack/export.py | 46 +- .../roi_statistics_vs_stack/initialization.py | 64 +- .../__code/roi_statistics_vs_stack/load.py | 21 +- .../__code/roi_statistics_vs_stack/main.py | 64 +- .../__code/roi_statistics_vs_stack/table.py | 27 +- .../rotate_and_crop_images.py | 114 +-- notebooks/__code/sans/extract.py | 714 +++++++-------- notebooks/__code/sans/sans_config.py | 720 +++++++-------- notebooks/__code/scale_overlapping_images.py | 369 ++++---- notebooks/__code/select_files_and_folders.py | 83 +- .../__code/select_metadata_to_display.py | 55 +- .../__code/selection_region_utilities.py | 75 +- ...equential_combine_images_using_metadata.py | 315 ++++--- notebooks/__code/shifting_time_offset.py | 126 ++- notebooks/__code/super_user.py | 146 ++- notebooks/__code/system.py | 156 ++-- notebooks/__code/table_handler.py | 7 +- notebooks/__code/template_ui.py | 32 +- notebooks/__code/time_utility.py | 176 ++-- .../timepix3_event_hdf5_he3_detector.py | 146 ++- .../timepix3_from_event_to_histo_hdf5.py | 183 ++-- .../__init__.py | 7 +- .../timepix3_histo_hdf5_mcp_detector/error.py | 1 - .../fit_regions.py | 207 +++-- .../fitting_functions.py | 6 +- .../timepix3_histo_hdf5_mcp_detector.py | 645 ++++++------- .../truncate_file_names.py | 147 +-- notebooks/__code/ui_addie.py | 10 +- notebooks/__code/ui_addie_save_config.py | 8 +- .../__code/ui_bragg_edge_peak_fitting.py | 12 +- notebooks/__code/ui_builder.py | 26 +- .../__code/ui_calibrated_transmission.py | 40 +- .../ui_display_counts_of_region_vs_stack.py | 6 +- notebooks/__code/ui_dual_energy.py | 8 +- notebooks/__code/ui_file_metadata_display.py | 10 +- notebooks/__code/ui_gamma_filtering_tool.py | 8 +- ..._roi_counts_vs_file_name_and_time_stamp.py | 16 +- notebooks/__code/ui_linear_profile.py | 10 +- .../__code/ui_metadata_overlapping_images.py | 48 +- ...tadata_overlapping_images_string_format.py | 12 +- notebooks/__code/ui_panoramic_stitching.py | 46 +- notebooks/__code/ui_profile.py | 60 +- notebooks/__code/ui_radial_profile.py | 55 +- notebooks/__code/ui_registration.py | 16 +- .../ui_registration_auto_confirmation.py | 21 +- notebooks/__code/ui_registration_markers.py | 10 +- notebooks/__code/ui_registration_profile.py | 10 +- .../ui_registration_profile_settings.py | 15 +- notebooks/__code/ui_registration_tool.py | 6 +- ..._resonance_imaging_experiment_vs_theory.py | 8 +- .../ui_resonance_imaging_layers_input.py | 14 +- notebooks/__code/ui_roi_selection.py | 8 +- notebooks/__code/ui_rotate_and_crop.py | 27 +- .../__code/ui_scale_overlapping_images.py | 14 +- notebooks/__code/ui_stitching_images.py | 8 +- notebooks/__code/ui_template.py | 8 +- notebooks/__code/ui_water_intake_profile.py | 56 +- notebooks/__code/utilities.py | 197 ++-- .../venus_chop_tcero_monitor_counts/main.py | 90 +- .../__init__.py | 44 +- .../venus_display_metadata_from_hdf5/main.py | 200 ++-- .../main.py | 77 +- notebooks/__code/venus_monitor_hdf5/main.py | 306 +++---- .../__code/water_intake_profile_calculator.py | 646 +++++++------ .../__code/wave_front_dynamics/__init__.py | 17 +- .../__code/wave_front_dynamics/algorithms.py | 57 +- .../__code/wave_front_dynamics/display.py | 40 +- .../wave_front_dynamics/event_handler.py | 48 +- .../__code/wave_front_dynamics/export.py | 39 +- notebooks/__code/wave_front_dynamics/get.py | 13 +- .../wave_front_dynamics/initialization.py | 38 +- .../__code/wave_front_dynamics/loader.py | 68 +- .../wave_front_dynamics.py | 71 +- .../widgets/examples_of_qrangeslider.py | 18 +- notebooks/__code/widgets/qrangeslider.py | 128 +-- notebooks/_before_and_after_github_script.py | 51 +- .../A_TABLE_OF_CONTENTS.py | 11 +- .../converted_notebooks/CT_reconstruction.py | 32 +- .../DEBUGGING_normalization.py | 8 +- .../converted_notebooks/Frederick_ipts.py | 14 +- ...ages_and_metadata_extrapolation_matcher.py | 240 +++-- .../converted_notebooks/TEST__registration.py | 70 +- .../converted_notebooks/TEST_addie_table.py | 10 +- .../TEST_cylindrical_geometry_correction.py | 20 +- ...ng_out_how_to_control_size_of_pyqtgraph.py | 85 +- .../TEST_metadata_ascii_parser_IPTS_20444.py | 91 +- .../TEST_metadata_overlapping_images.py | 24 +- notebooks/converted_notebooks/TEST_profile.py | 34 +- .../TEST_radial_profile.py | 20 +- .../TEST_scale_overlapping_images.py | 22 +- .../converted_notebooks/TEST_time_stamp.py | 50 +- .../TEST_water_intake_profile_calculator.py | 69 +- .../TOPAZ_config_generator.py | 17 +- .../VENUS_hdf5_monitor_loader.py | 23 +- notebooks/converted_notebooks/bin_images.py | 16 +- .../bragg_edge_modeling.py | 61 +- .../bragg_edge_normalization.py | 16 +- ...dge_normalization_and_profile_extractor.py | 26 +- ...bragg_edge_normalized_sample_and_powder.py | 14 +- .../bragg_edge_peak_fitting.py | 20 +- .../bragg_edge_peak_fitting_evaluation.py | 47 +- .../converted_notebooks/bragg_edge_profile.py | 20 +- .../bragg_edge_raw_sample_and_powder.py | 30 +- .../bragg_edge_sample_and_powder.py | 30 +- .../bragg_edge_signal_vs_powder_peaks.py | 14 +- .../bragg_edge_tof_to_lambda_conversion.py | 93 +- .../calibrated_transmission.py | 17 +- .../circular_profile_of_a_ring.py | 15 +- .../combine_all_images_selected.py | 16 +- .../converted_notebooks/combine_folders.py | 14 +- .../combine_images_n_by_n.py | 16 +- .../combine_images_without_outliers.py | 11 +- .../create_list_of_file_name_vs_time_stamp.py | 13 +- .../cylindrical_geometry_correction.py | 16 +- ...al_geometry_correction_embedded_widgets.py | 28 +- notebooks/converted_notebooks/deal_images.py | 10 +- ...and_export_images_with_metadata_profile.py | 15 +- ...isplay_and_export_images_with_timestamp.py | 14 +- .../display_counts_of_region_vs_stack.py | 14 +- .../display_file_names_vs_time_stamp.py | 13 +- .../display_integrated_stack_of_images.py | 12 +- notebooks/converted_notebooks/dual_energy.py | 27 +- .../extract_evenly_spaced_files.py | 18 +- .../extract_nexus_daslogs.py | 9 +- .../extract_sans_reductionlog_metadata.py | 10 +- .../file_name_and_metadata_vs_time_stamp.py | 108 ++- .../filename_metadata_match.py | 8 +- notebooks/converted_notebooks/fix_images.py | 13 +- .../fix_images_with_negative_pixels.py | 16 +- .../from_attenuation_to_concentration.py | 21 +- ...rom_dsc_time_info_to_ascii_file_vs_time.py | 10 +- ...beatles_strain_mapping_array_to_2d_plot.py | 17 +- .../gamma_filtering_tool.py | 14 +- ..._images_by_cycle_for_grating_experiment.py | 21 +- ...images_by_cycle_for_panoramic_stitching.py | 12 +- .../hfir_reactor_element_analysis.py | 25 +- .../ibeatles_strain_mapping_ASCII_loader.py | 17 +- .../ibeatles_strain_mapping_HDF5_loader.py | 17 +- ...ages_and_metadata_extrapolation_matcher.py | 19 +- .../images_registration_pystackreg.py | 19 +- ..._roi_counts_vs_file_name_and_time_stamp.py | 21 +- .../list_element_bragg_edges.py | 13 +- .../list_metadata_and_time_with_oncat.py | 17 +- .../converted_notebooks/list_tiff_metadata.py | 13 +- .../march_dollase_bragg_fitting.py | 17 +- .../match_images_shapes.py | 15 +- notebooks/converted_notebooks/math_images.py | 12 +- .../mcp_chips_corrector.py | 17 +- .../metadata_ascii_parser.py | 21 +- .../metadata_overlapping_images.py | 18 +- .../converted_notebooks/normalization.py | 17 +- .../normalization_batch.py | 12 +- .../normalization_with_simplify_selection.py | 16 +- .../outliers_filtering_tool.py | 12 +- .../converted_notebooks/overlay_images.py | 22 +- .../panoramic_stitching.py | 13 +- .../panoramic_stitching_for_tof.py | 13 +- notebooks/converted_notebooks/profile.py | 14 +- .../converted_notebooks/radial_profile.py | 15 +- notebooks/converted_notebooks/registration.py | 17 +- notebooks/converted_notebooks/rename_files.py | 12 +- .../resonance_imaging_experiment_vs_theory.py | 41 +- .../roi_statistics_vs_stack.py | 12 +- .../rotate_and_crop_images.py | 22 +- .../scale_overlapping_images.py | 19 +- ...equential_combine_images_using_metadata.py | 14 +- .../shifting_time_offset.py | 23 +- notebooks/converted_notebooks/template_ui.py | 14 +- .../timepix3_event_hdf5-he3-detector.py | 11 +- .../timepix3_from_event_to_histo_hdf5.py | 32 +- .../timepix3_histo_hdf5_mcp_detector.py | 14 +- .../truncate_file_names.py | 14 +- .../venus_chop_tcero_monitor_counts.py | 12 +- ...s_list_of_nexus_with_pc_above_threshold.py | 12 +- .../converted_notebooks/venus_monitor_hdf5.py | 14 +- .../water_intake_profile_calculator.py | 10 +- .../wave_front_dynamics.py | 11 +- .../z_testing_import_notebook.py | 177 +--- notebooks/tests/_utilities/test_array.py | 20 +- notebooks/tests/_utilities/test_file.py | 14 +- notebooks/tests/_utilities/test_folder.py | 23 +- notebooks/tests/_utilities/test_math.py | 22 +- notebooks/tests/_utilities/test_string.py | 42 +- notebooks/tests/_utilities/test_time.py | 234 ++--- .../data/bragg_edge/march_dollase_data.json | 2 +- .../test_group_images_by_cycle.py | 90 +- .../test_sort_images_within_cycles.py | 35 +- .../test_combine_images_without_outliners.py | 17 +- notebooks/tests/test_file_handler.py | 79 +- .../tests/test_interpolation_utilities.py | 34 +- notebooks/tests/test_metadata_handler.py | 19 +- notebooks/tests/test_nexus_handler.py | 35 +- .../tests/test_selection_region_utilities.py | 38 +- .../converted_notebooks/IPTS-27939.py | 24 +- .../converted_notebooks/IPTS-28402.py | 26 +- .../converted_notebooks/IPTS-30610.py | 24 +- .../golden_ratio_table_scan_generator.py | 28 +- .../iframe_figures/figure_10.html | 2 +- .../iframe_figures/figure_15.html | 2 +- .../iframe_figures/figure_16.html | 2 +- .../iframe_figures/figure_17.html | 2 +- .../iframe_figures/figure_24.html | 2 +- .../iframe_figures/figure_28.html | 2 +- .../iframe_figures/figure_30.html | 2 +- .../iframe_figures/figure_31.html | 2 +- .../iframe_figures/figure_7.html | 2 +- .../ipts_27939_code/config_home.json | 2 +- .../ipts_27939_code/config_work.json | 2 +- .../ipts_27939_code/ipts_27939.py | 330 +++---- .../ipts_28402_code/config.json | 2 +- .../ipts_28402_code/ipts_28402.py | 337 ++++--- .../ipts_30610_code/config_home.json | 2 +- .../ipts_30610_code/config_work.json | 2 +- .../ipts_30610_code/ipts_30610.py | 330 +++---- util/.pre_commit.py | 14 +- util/installation_check.py | 21 +- 506 files changed, 22951 insertions(+), 23421 deletions(-) diff --git a/README.md b/README.md index 2fa2d5dc..ed42feda 100755 --- a/README.md +++ b/README.md @@ -36,7 +36,7 @@ pixi run lab ## Available Commands - `pixi run lab` - Start Jupyter Lab -- `pixi run notebook` - Start Jupyter Notebook +- `pixi run notebook` - Start Jupyter Notebook - `pixi run test` - Run tests - `pixi run test_imports` - Verify all packages import correctly - `pixi run test_all` - Run all tests diff --git a/notebooks/__code/__all/config_handler.py b/notebooks/__code/__all/config_handler.py index abefb5b3..56993dd8 100755 --- a/notebooks/__code/__all/config_handler.py +++ b/notebooks/__code/__all/config_handler.py @@ -2,32 +2,33 @@ from PyQt4.QtCore import QSettings except ImportError: from PyQt5.QtCore import QSettings - + + def init_config(): - settings = QSettings('settings.ini', QSettings.IniFormat) - -def save_config(key='', value='', group=''): - settings = QSettings('settings.ini') - if not (group == ''): + settings = QSettings("settings.ini", QSettings.IniFormat) + + +def save_config(key="", value="", group=""): + settings = QSettings("settings.ini") + if not (group == ""): settings.beginGroup(group) - if value == '': + if value == "": value = None settings.setValue(key, value) - - if not (group == ''): + + if not (group == ""): settings.endGroup() - -def load_config(key='', default_value='', group=''): - settings = QSettings('settings.ini') - if not (group == ''): + + +def load_config(key="", default_value="", group=""): + settings = QSettings("settings.ini") + if not (group == ""): settings.beginGroup(group) value = settings.value(key) settings.endGroup() - if (value is None) or (value == 'None'): + if (value is None) or (value == "None"): return default_value else: return value - - \ No newline at end of file diff --git a/notebooks/__code/__all/custom_nb_styling.css b/notebooks/__code/__all/custom_nb_styling.css index e74e59c4..6f1d6a9b 100755 --- a/notebooks/__code/__all/custom_nb_styling.css +++ b/notebooks/__code/__all/custom_nb_styling.css @@ -6,9 +6,9 @@ */ /* main background */ -#site { +#site { background: #888; - color: #red; + color: #red; } div.container { diff --git a/notebooks/__code/__all/custom_style.py b/notebooks/__code/__all/custom_style.py index 2dd888a1..27d21172 100755 --- a/notebooks/__code/__all/custom_style.py +++ b/notebooks/__code/__all/custom_style.py @@ -1,5 +1,6 @@ from IPython.display import HTML + def style(): - css_file = '__code/__all/custom_nb_styling.css' - return HTML(open(css_file, "r").read()) + css_file = "__code/__all/custom_nb_styling.css" + return HTML(open(css_file).read()) diff --git a/notebooks/__code/__all/mplcanvas.py b/notebooks/__code/__all/mplcanvas.py index b158933a..da73188a 100755 --- a/notebooks/__code/__all/mplcanvas.py +++ b/notebooks/__code/__all/mplcanvas.py @@ -1,12 +1,12 @@ import matplotlib -matplotlib.use('Qt5Agg') + +matplotlib.use("Qt5Agg") from matplotlib.backends.backend_qt5agg import FigureCanvasQTAgg from matplotlib.figure import Figure class MplCanvas(FigureCanvasQTAgg): - def __init__(self, parent=None, width=5, height=4, dpi=100): fig = Figure(figsize=(width, height), dpi=dpi) self.axes = fig.add_subplot(111) diff --git a/notebooks/__code/__init__.py b/notebooks/__code/__init__.py index 82e795a8..e387d91c 100755 --- a/notebooks/__code/__init__.py +++ b/notebooks/__code/__init__.py @@ -1,9 +1,9 @@ from qtpy.uic import loadUi LOGGER_FILE = "/SNS/users/j35/logger/notebook_logger.log" -#LOGGER_FILE = "/Users/j35/logger/notebook_logger.log" +# LOGGER_FILE = "/Users/j35/logger/notebook_logger.log" -__all__ = ['load_ui'] +__all__ = ["load_ui"] def load_ui(ui_filename, baseinstance): diff --git a/notebooks/__code/_utilities/__init__.py b/notebooks/__code/_utilities/__init__.py index 5089264f..0552bc02 100755 --- a/notebooks/__code/_utilities/__init__.py +++ b/notebooks/__code/_utilities/__init__.py @@ -1,3 +1,3 @@ -LAMBDA = u"\u03BB" -ANGSTROMS = u"\u212B" -MICRO = u"\u00B5" +LAMBDA = "\u03bb" +ANGSTROMS = "\u212b" +MICRO = "\u00b5" diff --git a/notebooks/__code/_utilities/array.py b/notebooks/__code/_utilities/array.py index 5f2bbfb8..265315fa 100755 --- a/notebooks/__code/_utilities/array.py +++ b/notebooks/__code/_utilities/array.py @@ -5,10 +5,10 @@ def exclude_y_value_when_error_is_nan(axis, error_axis): axis_cleaned = [] error_axis_cleaned = [] - for _x, _error in zip(axis, error_axis): + for _x, _error in zip(axis, error_axis, strict=False): if (_x == "None") or (_error == "None") or (_x is None) or (_error is None): - axis_cleaned.append(np.NaN) - error_axis_cleaned.append(np.NaN) + axis_cleaned.append(np.nan) + error_axis_cleaned.append(np.nan) else: axis_cleaned.append(float(_x)) error_axis_cleaned.append(float(_error)) @@ -33,17 +33,14 @@ def reject_outliers(array=None): if len(array) < 3: return array - new_array = [_value - for _value in array - if (not (_value == np.min(array))) - and (not (_value == np.max(array)))] + new_array = [_value for _value in array if (not (_value == np.min(array))) and (not (_value == np.max(array)))] return new_array def reject_n_outliers(array=None, n=1): set_array = list(array) set_array.sort() - return set_array[n: -n] + return set_array[n:-n] def find_nearest_index(array, value): diff --git a/notebooks/__code/_utilities/color.py b/notebooks/__code/_utilities/color.py index d4a56b75..7bc26b6b 100755 --- a/notebooks/__code/_utilities/color.py +++ b/notebooks/__code/_utilities/color.py @@ -1,21 +1,21 @@ import numpy as np -class Color(object): - - list_rgb = [[0, 0, 255], # dark blue - [30, 100, 100], # orange - [180, 100, 100], # cyan - [100, 100, 100], # light green - [70, 100, 100], # yellow - [128, 250, 227], # light cyan - [11, 50, 100], # light pink - [250, 128, 247], # pink - [128, 128, 248], # purple blue - [159, 255, 128], # light green - ] - - list_matplotlib = ['b', 'g', 'r', 'c', 'm', 'y'] +class Color: + list_rgb = [ + [0, 0, 255], # dark blue + [30, 100, 100], # orange + [180, 100, 100], # cyan + [100, 100, 100], # light green + [70, 100, 100], # yellow + [128, 250, 227], # light cyan + [11, 50, 100], # light pink + [250, 128, 247], # pink + [128, 128, 248], # purple blue + [159, 255, 128], # light green + ] + + list_matplotlib = ["b", "g", "r", "c", "m", "y"] def get_list_rgb(self, nbr_color=10): list_rgb = [] @@ -29,5 +29,3 @@ def get_list_rgb(self, nbr_color=10): list_rgb.append(_color) return list_rgb - - diff --git a/notebooks/__code/_utilities/combobox_handler.py b/notebooks/__code/_utilities/combobox_handler.py index 4529e0c2..b37735d6 100755 --- a/notebooks/__code/_utilities/combobox_handler.py +++ b/notebooks/__code/_utilities/combobox_handler.py @@ -1,5 +1,4 @@ class ComboboxHandler: - def __init__(self, combobox_ui=None): self.combobox_ui = combobox_ui diff --git a/notebooks/__code/_utilities/dictionary.py b/notebooks/__code/_utilities/dictionary.py index bc035af7..3d81e55a 100755 --- a/notebooks/__code/_utilities/dictionary.py +++ b/notebooks/__code/_utilities/dictionary.py @@ -14,7 +14,7 @@ def key_path_exists_in_dictionary(dictionary=None, tree_key=None): def combine_dictionaries(master_dictionary={}, servant_dictionary={}): new_master_dictionary = collections.OrderedDict() for _key in master_dictionary.keys(): - _servant_key = master_dictionary[_key]['filename'] + _servant_key = master_dictionary[_key]["filename"] _dict1 = master_dictionary[_key] _dict2 = servant_dictionary[_servant_key] _dict3 = {**_dict1, **_dict2} diff --git a/notebooks/__code/_utilities/error.py b/notebooks/__code/_utilities/error.py index a437e927..d54c0482 100755 --- a/notebooks/__code/_utilities/error.py +++ b/notebooks/__code/_utilities/error.py @@ -1,5 +1,4 @@ class FileErrorException(Exception): - def __init__(self, message=""): self.message = message super().__init__(self.message) diff --git a/notebooks/__code/_utilities/file.py b/notebooks/__code/_utilities/file.py index a03461f8..c09ef3c4 100755 --- a/notebooks/__code/_utilities/file.py +++ b/notebooks/__code/_utilities/file.py @@ -1,19 +1,19 @@ +import datetime +import glob import os +import pickle +import re +import shutil +from collections import Counter, OrderedDict, namedtuple from os.path import expanduser from pathlib import Path + +import numpy as np import pandas as pd from astropy.io import fits -import numpy as np -import pickle -import shutil -from PIL import Image -import glob -from collections import Counter, namedtuple, OrderedDict -import re -import datetime - +from IPython.display import display from ipywidgets import widgets -from IPython.display import display, HTML +from PIL import Image from __code._utilities.time import get_current_time_in_special_file_name_format from __code.metadata_handler import MetadataHandler @@ -25,7 +25,7 @@ def get_full_home_file_name(base_file_name): return full_log_file_name -def force_file_extension(filename, ext='.txt'): +def force_file_extension(filename, ext=".txt"): """this method check the name of the file and makes sure the extension is the one we are requesting""" [base, extension] = os.path.splitext(filename) @@ -50,12 +50,12 @@ def test_image(file_name, threshold=5000): return True -def load_data(filenames='', folder='', showing_progress=False): - ''' +def load_data(filenames="", folder="", showing_progress=False): + """ load the various file_name format - ''' + """ if folder: - list_files = glob.glob(folder + '/*.*') + list_files = glob.glob(folder + "/*.*") stack = [] if showing_progress: @@ -68,26 +68,25 @@ def load_data(filenames='', folder='', showing_progress=False): stack.append(_data) if showing_progress: - w.value = _index+1 + w.value = _index + 1 return stack elif isinstance(filenames, str): data_type = get_data_type(filenames) - if data_type == '.fits': + if data_type == ".fits": hdulist = fits.open(filenames, ignore_missing_end=True) hdu = hdulist[0] _image = np.asarray(hdu.data) hdulist.close() return _image - elif (data_type == '.tiff') or (data_type == '.tif'): + elif (data_type == ".tiff") or (data_type == ".tif"): _image = Image.open(filenames) return np.array(_image) else: return [] - else: # list of filenames - + else: # list of filenames list_files = filenames stack = [] @@ -102,22 +101,22 @@ def load_data(filenames='', folder='', showing_progress=False): stack.append(_data) if showing_progress: - w.value = _index+1 + w.value = _index + 1 return stack -def save_data(data=[], filename='', metadata=None): +def save_data(data=[], filename="", metadata=None): data_type = get_data_type(filename) - if data_type == '.fits': + if data_type == ".fits": make_fits(data=data, filename=filename) - elif (data_type == '.tiff') or (data_type == '.tif'): + elif (data_type == ".tiff") or (data_type == ".tif"): make_tiff(data=data, filename=filename, metadata=metadata) def get_file_extension(filename): - '''retrieve the file extension of the filename and make sure - we only keep the extension value and not the "dot" before it''' + """retrieve the file extension of the filename and make sure + we only keep the extension value and not the "dot" before it""" full_extension = get_data_type(filename) return full_extension[1:] @@ -131,7 +130,7 @@ def get_list_file_extensions(list_filename): def get_data_type(file_name): - ''' + """ using the file name extension, will return the type of the data Arguments: @@ -139,22 +138,22 @@ def get_data_type(file_name): Returns: file extension ex:.tif, .fits - ''' + """ filename, file_extension = os.path.splitext(file_name) return file_extension.strip() -def save_file(folder='', base_file_name='', suffix='', dictionary={}): - if folder == '': +def save_file(folder="", base_file_name="", suffix="", dictionary={}): + if folder == "": return - output_file = folder + base_file_name + '_time_dictionary.dat' + output_file = folder + base_file_name + "_time_dictionary.dat" pickle.dump(dictionary, open(output_file, "wb")) return output_file -def make_tiff(data=[], filename='', metadata=None): +def make_tiff(data=[], filename="", metadata=None): new_image = Image.fromarray(data) if metadata: new_image.save(filename, tiffinfo=metadata) @@ -162,7 +161,7 @@ def make_tiff(data=[], filename='', metadata=None): new_image.save(filename) -def make_fits(data=[], filename=''): +def make_fits(data=[], filename=""): fits.writeto(filename, data, clobber=True) @@ -173,7 +172,7 @@ def make_folder(folder_name): def make_or_reset_folder(folder_name): if os.path.exists(folder_name): - shutil.rmtree(folder_name) + shutil.rmtree(folder_name) os.makedirs(folder_name) @@ -200,7 +199,7 @@ def copy_files_to_folder(list_files=[], output_folder=""): shutil.copy(_file, output_folder) -def copy_and_rename_files_to_folder(list_files=[], new_list_files_names=[], output_folder=''): +def copy_and_rename_files_to_folder(list_files=[], new_list_files_names=[], output_folder=""): for _index_file, _original_file in enumerate(list_files): _new_file = os.path.join(output_folder, new_list_files_names[_index_file]) shutil.copy(_original_file, _new_file) @@ -210,10 +209,10 @@ def remove_SummedImg_from_list(list_files): base_name_and_extension = os.path.basename(list_files[0]) dir_name = os.path.dirname(list_files[0]) [base_name, _] = os.path.splitext(base_name_and_extension) - base_base_name_array = base_name.split('_') - name = '_'.join(base_base_name_array[0:-1]) + base_base_name_array = base_name.split("_") + name = "_".join(base_base_name_array[0:-1]) index = base_base_name_array[-1] - file_to_remove = os.path.join(dir_name, name + '_SummedImg.fits') + file_to_remove = os.path.join(dir_name, name + "_SummedImg.fits") list_files_cleaned = [] for _file in list_files: if _file == file_to_remove: @@ -222,18 +221,18 @@ def remove_SummedImg_from_list(list_files): return list_files_cleaned -def make_ascii_file(metadata=[], data=[], output_file_name='', dim='2d', sep=','): - f = open(output_file_name, 'w') +def make_ascii_file(metadata=[], data=[], output_file_name="", dim="2d", sep=","): + f = open(output_file_name, "w") for _meta in metadata: _line = _meta + "\n" f.write(_line) for _data in data: - if dim == '2d': + if dim == "2d": _str_data = [str(_value) for _value in _data] _line = sep.join(_str_data) + "\n" else: - _line = str(_data) + '\n' + _line = str(_data) + "\n" f.write(_line) f.close() @@ -245,25 +244,25 @@ def append_to_file(data=[], output_file_name=""): f.write(_line + "\n") -def make_ascii_file_from_2dim_array(metadata=None, col1=None, col2=None, output_file_name=None, sep=', '): - with open(output_file_name, 'w') as f: +def make_ascii_file_from_2dim_array(metadata=None, col1=None, col2=None, output_file_name=None, sep=", "): + with open(output_file_name, "w") as f: for _meta in metadata: _line = _meta + "\n" f.write(_line) - for _x, _y in zip(col1, col2): - _line = "{}".format(_x) + sep + "{}".format(_y) + "\n" + for _x, _y in zip(col1, col2, strict=False): + _line = f"{_x}" + sep + f"{_y}" + "\n" f.write(_line) -def make_ascii_file_from_string(text="", filename=''): - with open(filename, 'w') as f: +def make_ascii_file_from_string(text="", filename=""): + with open(filename, "w") as f: f.write(text) -def read_ascii(filename=''): - '''return contain of an ascii file''' - f = open(filename, 'r') +def read_ascii(filename=""): + """return contain of an ascii file""" + f = open(filename) text = f.read() f.close() return text @@ -274,14 +273,14 @@ def retrieve_metadata_value_from_ascii_file(filename=None, metadata_name=None): return "" if metadata_name is None: return "" - with open(filename, 'r') as fp: + with open(filename) as fp: while True: line = fp.readline() if not line: break - if metadata_name in line:# + if metadata_name in line: # divided_parts = line.split(":") if len(divided_parts) > 1: value = ":".join(divided_parts[1:]) @@ -292,13 +291,13 @@ def retrieve_metadata_value_from_ascii_file(filename=None, metadata_name=None): return "" -def retrieve_metadata_from_dsc_file(filename=''): +def retrieve_metadata_from_dsc_file(filename=""): text = read_ascii(filename=filename) - splitted_text = text.split('\n') + splitted_text = text.split("\n") metadata = {} - metadata['acquisition_time'] = splitted_text[9] - metadata['user_format'] = splitted_text[-3] - metadata['os_format'] = splitted_text[-7] + metadata["acquisition_time"] = splitted_text[9] + metadata["user_format"] = splitted_text[-3] + metadata["os_format"] = splitted_text[-7] return metadata @@ -311,19 +310,19 @@ def retrieve_metadata_from_dsc_list_files(list_files=[]): metadata = {} for _index, _file in enumerate(list_files): metadata[os.path.basename(_file)] = retrieve_metadata_from_dsc_file(filename=_file) - w.value = _index+1 + w.value = _index + 1 return metadata -def retrieve_list_of_most_dominant_extension_from_folder(folder='', files=[]): - ''' +def retrieve_list_of_most_dominant_extension_from_folder(folder="", files=[]): + """ This will return the list of files from the most dominant file extension found in the folder as well as the most dominant extension used - ''' + """ if folder: - list_of_input_files = glob.glob(os.path.join(folder, '*')) + list_of_input_files = glob.glob(os.path.join(folder, "*")) else: list_of_input_files = files @@ -337,14 +336,14 @@ def retrieve_list_of_most_dominant_extension_from_folder(folder='', files=[]): [_base, _ext] = os.path.splitext(_file) counter_extension[_ext] += 1 - dominand_extension = '' + dominand_extension = "" dominand_number = 0 for _key in counter_extension.keys(): if counter_extension[_key] > dominand_number: dominand_extension = _key dominand_number = counter_extension[_key] - list_of_input_files = glob.glob(os.path.join(folder, '*' + dominand_extension)) + list_of_input_files = glob.glob(os.path.join(folder, "*" + dominand_extension)) list_of_input_files.sort() list_of_input_files = [os.path.abspath(_file) for _file in list_of_input_files] @@ -352,8 +351,8 @@ def retrieve_list_of_most_dominant_extension_from_folder(folder='', files=[]): return [list_of_input_files, dominand_extension] -def remove_file_from_list(list_files=[], regular_expression=''): - ''' +def remove_file_from_list(list_files=[], regular_expression=""): + """ This method will look through the list of files provided and will try to find, using regular expresision, the name of the file that does match the 're' argument passed. If found, the list is returned without that file @@ -367,8 +366,8 @@ def remove_file_from_list(list_files=[], regular_expression=''): Returns: ======== list - ''' - if regular_expression == '': + """ + if regular_expression == "": return list_files p = re.compile(regular_expression) @@ -399,7 +398,7 @@ def _convert_epics_timestamp_to_rfc3339_timestamp(epics_timestamp): # epoch" so that Python can understand it. I got the offset by # calculating the number of seconds between the two epochs at # https://www.epochconverter.com/ - #EPOCH_OFFSET = 631152000 + # EPOCH_OFFSET = 631152000 EPOCH_OFFSET = 0 unix_epoch_timestamp = EPOCH_OFFSET + epics_timestamp return unix_epoch_timestamp @@ -407,24 +406,23 @@ def _convert_epics_timestamp_to_rfc3339_timestamp(epics_timestamp): def retrieve_time_stamp(list_images, label=""): [_, ext] = os.path.splitext(list_images[0]) - if ext.lower() in ['.tiff', '.tif']: - ext = 'tif' - elif ext.lower() == '.fits': - ext = 'fits' + if ext.lower() in [".tiff", ".tif"]: + ext = "tif" + elif ext.lower() == ".fits": + ext = "fits" - elif ext.lower() == '.jpg': - ext = 'jpg' + elif ext.lower() == ".jpg": + ext = "jpg" else: raise ValueError - message = "Retrieving time stamp of {}".format(label) if label else "Retrieving time stamp" - box = widgets.HBox([widgets.Label(message, - layout=widgets.Layout(width='20%')), - widgets.IntProgress(min=0, - max=len(list_images), - value=0, - layout=widgets.Layout(width='50%')) - ]) + message = f"Retrieving time stamp of {label}" if label else "Retrieving time stamp" + box = widgets.HBox( + [ + widgets.Label(message, layout=widgets.Layout(width="20%")), + widgets.IntProgress(min=0, max=len(list_images), value=0, layout=widgets.Layout(width="50%")), + ] + ) progress_bar = box.children[1] display(box) @@ -441,18 +439,20 @@ def retrieve_time_stamp(list_images, label=""): box.close() - return {'list_images': list_images, - 'list_time_stamp': list_time_stamp, - 'list_time_stamp_user_format': list_time_stamp_user_format} + return { + "list_images": list_images, + "list_time_stamp": list_time_stamp, + "list_time_stamp_user_format": list_time_stamp_user_format, + } -def get_list_of_files(folder="", extension='tiff'): - list_files = glob.glob(os.path.join(folder, "*.{}".format(extension))) +def get_list_of_files(folder="", extension="tiff"): + list_files = glob.glob(os.path.join(folder, f"*.{extension}")) list_files.sort() return list_files -def get_list_of_all_files_in_subfolders(folder="", extensions=['tiff', 'tif']): +def get_list_of_all_files_in_subfolders(folder="", extensions=["tiff", "tif"]): absolute_path_folder = os.path.abspath(folder) list_files = [] for path, _, files in os.walk(absolute_path_folder): @@ -466,83 +466,86 @@ def read_bragg_edge_fitting_ascii_format(full_file_name): if not Path(full_file_name).exists(): raise FileNotFoundError(str(full_file_name)) - metadata = {'detector_offset': '', - 'distance_detector_sample': '', - } + metadata = { + "detector_offset": "", + "distance_detector_sample": "", + } march_history_table = OrderedDict() march_history_init = {} metadata_column = OrderedDict() line_number = 1 - col_label = ['index', 'tof', 'lambda'] - with open(full_file_name, 'r') as f: + col_label = ["index", "tof", "lambda"] + with open(full_file_name) as f: for line in f: if "#" == line.strip(): line_number += 1 continue if "#base folder: " in line: - metadata['base_folder'] = line.split("#base folder: ")[1].strip() + metadata["base_folder"] = line.split("#base folder: ")[1].strip() line_number += 1 continue if "#fitting peak range in file index:" in line: regular = r"^#fitting peak range in file index: \[(?P\d+), (?P\d+)\]$" m = re.search(regular, line.strip()) if m: - metadata['bragg_edge_range'] = [int(m.group('left_index')), - int(m.group('right_index'))] + metadata["bragg_edge_range"] = [int(m.group("left_index")), int(m.group("right_index"))] else: - metadata['bragg_edge_range'] = [None, None] + metadata["bragg_edge_range"] = [None, None] line_number += 1 continue if "#distance detector-sample: " in line: - metadata['distance_detector_sample'] = line.split("#distance detector-sample: ")[1].strip() + metadata["distance_detector_sample"] = line.split("#distance detector-sample: ")[1].strip() line_number += 1 continue if "#detector offset: " in line: - metadata['detector_offset'] = line.split("#detector offset: ")[1].strip() + metadata["detector_offset"] = line.split("#detector offset: ")[1].strip() line_number += 1 continue if "#kropff fitting procedure started: " in line: - result = True if line.split("#kropff fitting procedure started: ")[1].strip() == 'True' else False - metadata['kropff fitting procedure started'] = result + result = True if line.split("#kropff fitting procedure started: ")[1].strip() == "True" else False + metadata["kropff fitting procedure started"] = result line_number += 1 continue if "#march-dollase bragg peak selection range: " in line: regular = r"^#march-dollase bragg peak selection range: \[(?P\d+), (?P\d+)\]$" m = re.search(regular, line.strip()) if m: - metadata['march-dollase bragg peak selection range'] = [int(m.group('left_index')), - int(m.group('right_index'))] + metadata["march-dollase bragg peak selection range"] = [ + int(m.group("left_index")), + int(m.group("right_index")), + ] line_number += 1 continue if "#march-dollase fitting procedure started: " in line: - result = True if line.split("#march-dollase fitting procedure started: ")[1].strip() == 'True' else \ - False - metadata['march-dollase fitting procedure started'] = result + result = ( + True if line.split("#march-dollase fitting procedure started: ")[1].strip() == "True" else False + ) + metadata["march-dollase fitting procedure started"] = result line_number += 1 continue if "#Bragg peak selection range:" in line: regular = r"^#Bragg peak selection range: \[(?P\d+), (?P\d+)\]$" m = re.search(regular, line.strip()) if m: - metadata['bragg_peak_selection_range'] = [int(m.group('left_index')), - int(m.group('right_index'))] + metadata["bragg_peak_selection_range"] = [int(m.group("left_index")), int(m.group("right_index"))] line_number += 1 continue if "#kropff " in line: - regular = r"^#kropff (?P\w+) selection range: \[(?P\d+), " \ - r"(?P\d+)\]$" + regular = r"^#kropff (?P\w+) selection range: \[(?P\d+), " r"(?P\d+)\]$" m = re.search(regular, line.strip()) if m: - metadata['kropff_{}'.format(m.group('type'))] = [int(m.group('left_index')), - int(m.group('right_index'))] + metadata["kropff_{}".format(m.group("type"))] = [ + int(m.group("left_index")), + int(m.group("right_index")), + ] line_number += 1 continue if "#fitting algorithm selected: " in line: - metadata['fitting_algorithm_selected'] = line.split('#fitting algorithm selected: ')[1].strip() + metadata["fitting_algorithm_selected"] = line.split("#fitting algorithm selected: ")[1].strip() line_number += 1 continue if "#march-dollase history table row " in line: - _row_and_list_flag = line.split('#march-dollase history table row ')[1].strip() + _row_and_list_flag = line.split("#march-dollase history table row ")[1].strip() [_row, list_flag] = _row_and_list_flag.split(":") march_history_table[_row] = list_flag line_number += 1 @@ -554,102 +557,103 @@ def read_bragg_edge_fitting_ascii_format(full_file_name): line_number += 1 continue if "#column " in line: - regular = r"^#column (?P\d+) -> " \ - r"x0:(?P\d+), " \ - r"y0:(?P\d+), " \ - r"width:(?P\d+), " \ - r"height:(?P\d+), " \ - r"kropff: " \ - r"a0:(?P-{0,1}\d+.+\d+|None|-{0,1}\d+.+\d+e-{0,1}\d+), " \ - r"b0:(?P-{0,1}\d+.+\d+|None|-{0,1}\d+.+\d+e-{0,1}\d+), " \ - r"a0_error:(?P\d+.+\d+|None|-{0,1}\d+.+\d+e-{0,1}\d+), " \ - r"b0_error:(?P\d+.+\d+|None|-{0,1}\d+.+\d+e-{0,1}\d+), " \ - r"ahkl:(?P-{0,1}\d+.+\d+|None|-{0,1}\d+.+\d+e-{0,1}\d+), " \ - r"bhkl:(?P-{0,1}\d+.+\d+|None|-{0,1}\d+.+\d+e-{0,1}\d+), " \ - r"ahkl_error:(?P\d+.+\d+|None|-{0,1}\d+.+\d+e-{0,1}\d+), " \ - r"bhkl_error:(?P\d+.+\d+|None|-{0,1}\d+.+\d+e-{0,1}\d+), " \ - r"ldahkl:(?P-{0,1}\d+.+\d+|None|-{0,1}\d+.+\d+e-{0,1}\d+), " \ - r"tau:(?P-{0,1}\d+.+\d+|None|-{0,1}\d+.+\d+e-{0,1}\d+), " \ - r"sigma:(?P-{0,1}\d+.+\d+|None|-{0,1}\d+.+\d+e-{0,1}\d+), " \ - r"ldahkl_error:(?P\d+.+\d+|None|-{0,1}\d+.+\d+e-{0,1}\d+), " \ - r"tau_error:(?P\d+.+\d+|None|-{0,1}\d+.+\d+e-{0,1}\d+), " \ - r"sigma_error:(?P\d+.+\d+|None|-{0,1}\d+.+\d+e-{0,1}\d+), " \ - r"march_dollase: " \ - r"d_spacing:(?P-{0,1}\d+.+\d+|None|-{0,1}\d+.+\d+e-{0,1}\d+), " \ - r"sigma:(?P-{0,1}\d+.+\d+|None|-{0,1}\d+.+\d+e-{0,1}\d+), " \ - r"alpha:(?P-{0,1}\d+.+\d+|None|-{0,1}\d+.+\d+e-{0,1}\d+), " \ - r"a1:(?P-{0,1}\d+.+\d+|None|-{0,1}\d+.+\d+e-{0,1}\d+), " \ - r"a2:(?P-{0,1}\d+.+\d+|None|-{0,1}\d+.+\d+e-{0,1}\d+), " \ - r"a5:(?P-{0,1}\d+.+\d+|None|-{0,1}\d+.+\d+e-{0,1}\d+), " \ - r"a6:(?P-{0,1}\d+.+\d+|None|-{0,1}\d+.+\d+e-{0,1}\d+), " \ - r"d_spacing_error:(?P-{0,1}\d+.+\d+|None|-{0,1}\d+.+\d+e-{0,1}\d+), " \ - r"sigma_error:(?P-{0,1}\d+.+\d+|None|-{0,1}\d+.+\d+e-{0,1}\d+), " \ - r"alpha_error:(?P-{0,1}\d+.+\d+|None|-{0,1}\d+.+\d+e-{0,1}\d+), " \ - r"a1_error:(?P-{0,1}\d+.+\d+|None|-{0,1}\d+.+\d+e-{0,1}\d+), " \ - r"a2_error:(?P-{0,1}\d+.+\d+|None|-{0,1}\d+.+\d+e-{0,1}\d+), " \ - r"a5_error:(?P-{0,1}\d+.+\d+|None|-{0,1}\d+.+\d+e-{0,1}\d+), " \ - r"a6_error:(?P-{0,1}\d+.+\d+|None|-{0,1}\d+.+\d+e-{0,1}\d+)$" + regular = ( + r"^#column (?P\d+) -> " + r"x0:(?P\d+), " + r"y0:(?P\d+), " + r"width:(?P\d+), " + r"height:(?P\d+), " + r"kropff: " + r"a0:(?P-{0,1}\d+.+\d+|None|-{0,1}\d+.+\d+e-{0,1}\d+), " + r"b0:(?P-{0,1}\d+.+\d+|None|-{0,1}\d+.+\d+e-{0,1}\d+), " + r"a0_error:(?P\d+.+\d+|None|-{0,1}\d+.+\d+e-{0,1}\d+), " + r"b0_error:(?P\d+.+\d+|None|-{0,1}\d+.+\d+e-{0,1}\d+), " + r"ahkl:(?P-{0,1}\d+.+\d+|None|-{0,1}\d+.+\d+e-{0,1}\d+), " + r"bhkl:(?P-{0,1}\d+.+\d+|None|-{0,1}\d+.+\d+e-{0,1}\d+), " + r"ahkl_error:(?P\d+.+\d+|None|-{0,1}\d+.+\d+e-{0,1}\d+), " + r"bhkl_error:(?P\d+.+\d+|None|-{0,1}\d+.+\d+e-{0,1}\d+), " + r"ldahkl:(?P-{0,1}\d+.+\d+|None|-{0,1}\d+.+\d+e-{0,1}\d+), " + r"tau:(?P-{0,1}\d+.+\d+|None|-{0,1}\d+.+\d+e-{0,1}\d+), " + r"sigma:(?P-{0,1}\d+.+\d+|None|-{0,1}\d+.+\d+e-{0,1}\d+), " + r"ldahkl_error:(?P\d+.+\d+|None|-{0,1}\d+.+\d+e-{0,1}\d+), " + r"tau_error:(?P\d+.+\d+|None|-{0,1}\d+.+\d+e-{0,1}\d+), " + r"sigma_error:(?P\d+.+\d+|None|-{0,1}\d+.+\d+e-{0,1}\d+), " + r"march_dollase: " + r"d_spacing:(?P-{0,1}\d+.+\d+|None|-{0,1}\d+.+\d+e-{0,1}\d+), " + r"sigma:(?P-{0,1}\d+.+\d+|None|-{0,1}\d+.+\d+e-{0,1}\d+), " + r"alpha:(?P-{0,1}\d+.+\d+|None|-{0,1}\d+.+\d+e-{0,1}\d+), " + r"a1:(?P-{0,1}\d+.+\d+|None|-{0,1}\d+.+\d+e-{0,1}\d+), " + r"a2:(?P-{0,1}\d+.+\d+|None|-{0,1}\d+.+\d+e-{0,1}\d+), " + r"a5:(?P-{0,1}\d+.+\d+|None|-{0,1}\d+.+\d+e-{0,1}\d+), " + r"a6:(?P-{0,1}\d+.+\d+|None|-{0,1}\d+.+\d+e-{0,1}\d+), " + r"d_spacing_error:(?P-{0,1}\d+.+\d+|None|-{0,1}\d+.+\d+e-{0,1}\d+), " + r"sigma_error:(?P-{0,1}\d+.+\d+|None|-{0,1}\d+.+\d+e-{0,1}\d+), " + r"alpha_error:(?P-{0,1}\d+.+\d+|None|-{0,1}\d+.+\d+e-{0,1}\d+), " + r"a1_error:(?P-{0,1}\d+.+\d+|None|-{0,1}\d+.+\d+e-{0,1}\d+), " + r"a2_error:(?P-{0,1}\d+.+\d+|None|-{0,1}\d+.+\d+e-{0,1}\d+), " + r"a5_error:(?P-{0,1}\d+.+\d+|None|-{0,1}\d+.+\d+e-{0,1}\d+), " + r"a6_error:(?P-{0,1}\d+.+\d+|None|-{0,1}\d+.+\d+e-{0,1}\d+)$" + ) m = re.search(regular, line.strip()) if m: - metadata_column[m.group('column_index').strip()] = {'x0': m.group('x0'), - 'y0': m.group('y0'), - 'width': m.group('width'), - 'height': m.group('height'), - 'kropff': {'a0': m.group('a0'), - 'b0': m.group('b0'), - 'a0_error': m.group('a0_error'), - 'b0_error': m.group('b0_error'), - 'ahkl': m.group('ahkl'), - 'bhkl': m.group('bhkl'), - 'ahkl_error': m.group('ahkl_error'), - 'bhkl_error': m.group('bhkl_error'), - 'ldahkl': m.group('ldahkl'), - 'tau': m.group('tau'), - 'sigma': m.group('sigma'), - 'ldahkl_error': m.group( - 'ldahkl_error'), - 'tau_error': m.group('tau_error'), - 'sigma_error': m.group( - 'sigma_error'), - }, - 'march_dollase': { - 'd_spacing': m.group('d_spacing'), - 'sigma': m.group('sigma1'), - 'alpha': m.group('alpha'), - 'a1': m.group('a1'), - 'a2': m.group('a2'), - 'a5': m.group('a5'), - 'a6': m.group('a6'), - 'd_spacing_error': m.group( - 'd_spacing_error'), - 'sigma_error': m.group('sigma1_error'), - 'alpha_error': m.group('alpha_error'), - 'a1_error': m.group('a1_error'), - 'a2_error': m.group('a2_error'), - 'a5_error': m.group('a5_error'), - 'a6_error': m.group('a6_error'), - } - } + metadata_column[m.group("column_index").strip()] = { + "x0": m.group("x0"), + "y0": m.group("y0"), + "width": m.group("width"), + "height": m.group("height"), + "kropff": { + "a0": m.group("a0"), + "b0": m.group("b0"), + "a0_error": m.group("a0_error"), + "b0_error": m.group("b0_error"), + "ahkl": m.group("ahkl"), + "bhkl": m.group("bhkl"), + "ahkl_error": m.group("ahkl_error"), + "bhkl_error": m.group("bhkl_error"), + "ldahkl": m.group("ldahkl"), + "tau": m.group("tau"), + "sigma": m.group("sigma"), + "ldahkl_error": m.group("ldahkl_error"), + "tau_error": m.group("tau_error"), + "sigma_error": m.group("sigma_error"), + }, + "march_dollase": { + "d_spacing": m.group("d_spacing"), + "sigma": m.group("sigma1"), + "alpha": m.group("alpha"), + "a1": m.group("a1"), + "a2": m.group("a2"), + "a5": m.group("a5"), + "a6": m.group("a6"), + "d_spacing_error": m.group("d_spacing_error"), + "sigma_error": m.group("sigma1_error"), + "alpha_error": m.group("alpha_error"), + "a1_error": m.group("a1_error"), + "a2_error": m.group("a2_error"), + "a5_error": m.group("a5_error"), + "a6_error": m.group("a6_error"), + }, + } col_label.append(m.group("column_index")) line_number += 1 continue - metadata['columns'] = metadata_column - metadata['march-dollase history table'] = march_history_table - metadata['march-dollase history init'] = march_history_init + metadata["columns"] = metadata_column + metadata["march-dollase history table"] = march_history_table + metadata["march-dollase history init"] = march_history_init pd_data = pd.read_csv(full_file_name, skiprows=line_number, header=0, names=col_label) - return {'data': pd_data, 'metadata': metadata} + return {"data": pd_data, "metadata": metadata} -class ListMostDominantExtension(object): - Result = namedtuple('Result', ('list_files', 'ext', 'uniqueness')) +class ListMostDominantExtension: + Result = namedtuple("Result", ("list_files", "ext", "uniqueness")) - def __init__(self, working_dir=''): + def __init__(self, working_dir=""): self.working_dir = working_dir def get_list_of_files(self): - list_of_input_files = glob.glob(os.path.join(self.working_dir, '*')) + list_of_input_files = glob.glob(os.path.join(self.working_dir, "*")) list_of_input_files.sort() self.list_of_base_name = [os.path.basename(_file) for _file in list_of_input_files] @@ -661,7 +665,7 @@ def get_counter_of_extension(self): self.counter_extension = counter_extension def get_dominant_extension(self): - dominant_extension = '' + dominant_extension = "" dominant_number = 0 list_of_number_of_ext = [] for _key in self.counter_extension.keys(): @@ -691,23 +695,24 @@ def calculate(self): def retrieve_parameters(self): if self.uniqueness: - list_of_input_files = glob.glob(os.path.join(self.working_dir, '*' + self.dominant_extension)) + list_of_input_files = glob.glob(os.path.join(self.working_dir, "*" + self.dominant_extension)) list_of_input_files.sort() - self.result = self.Result(list_files=list_of_input_files, - ext=self.dominant_extension, - uniqueness=True) + self.result = self.Result(list_files=list_of_input_files, ext=self.dominant_extension, uniqueness=True) else: - - list_of_maj_ext = [_ext for _ext in self.counter_extension.keys() if - self.counter_extension[_ext] == self.dominant_number] - - box = widgets.HBox([widgets.Label("Select Extension to work with", - layout=widgets.Layout(width='20%')), - widgets.Dropdown(options=list_of_maj_ext, - layout=widgets.Layout(width='20%'), - value=list_of_maj_ext[0])]) + list_of_maj_ext = [ + _ext for _ext in self.counter_extension.keys() if self.counter_extension[_ext] == self.dominant_number + ] + + box = widgets.HBox( + [ + widgets.Label("Select Extension to work with", layout=widgets.Layout(width="20%")), + widgets.Dropdown( + options=list_of_maj_ext, layout=widgets.Layout(width="20%"), value=list_of_maj_ext[0] + ), + ] + ) display(box) self.dropdown_ui = box.children[1] @@ -717,9 +722,7 @@ def get_files_of_selected_ext(self): else: _ext_selected = self.dropdown_ui.value - list_of_input_files = glob.glob(os.path.join(self.working_dir, '*' + _ext_selected)) + list_of_input_files = glob.glob(os.path.join(self.working_dir, "*" + _ext_selected)) list_of_input_files.sort() - return self.Result(list_files=list_of_input_files, - ext=self.dominant_extension, - uniqueness=True) + return self.Result(list_files=list_of_input_files, ext=self.dominant_extension, uniqueness=True) diff --git a/notebooks/__code/_utilities/folder.py b/notebooks/__code/_utilities/folder.py index 1c98a0e3..de938377 100755 --- a/notebooks/__code/_utilities/folder.py +++ b/notebooks/__code/_utilities/folder.py @@ -1,11 +1,11 @@ import glob import os -import numpy as np import shutil +import numpy as np + -def get_list_of_folders_with_specified_file_type(list_of_folders_to_check=None, - file_extension=['tiff', 'tif']): +def get_list_of_folders_with_specified_file_type(list_of_folders_to_check=None, file_extension=["tiff", "tif"]): """ check in the list of folder given (list_of_folders_to_check) if files of the type specified are there. If no file can be found in that folder with that type, the folder name is removed from the list @@ -16,10 +16,10 @@ def get_list_of_folders_with_specified_file_type(list_of_folders_to_check=None, :return: list of folders that do have at least one file with the correct file extension """ - if not (type(list_of_folders_to_check) is list): + if type(list_of_folders_to_check) is not list: raise ValueError("list_of_folders_to_check must be a list!") - if not (type(file_extension) is list): + if type(file_extension) is not list: raise ValueError("file_extension must be a list!") for _folder in list_of_folders_to_check: @@ -33,15 +33,16 @@ def get_list_of_folders_with_specified_file_type(list_of_folders_to_check=None, break for _extension in file_extension: - list_of_files = glob.glob(os.path.join(_folder, '*.{}'.format(_extension))) + list_of_files = glob.glob(os.path.join(_folder, f"*.{_extension}")) if len(list_of_files) > 0: list_of_folders_checked.append(_folder) return list_of_folders_checked -def get_list_of_folders_with_specified_file_type_and_same_number_of_files(list_of_folders_to_check=None, - file_extension=['tiff', 'tif']): +def get_list_of_folders_with_specified_file_type_and_same_number_of_files( + list_of_folders_to_check=None, file_extension=["tiff", "tif"] +): """ check in the list of folder given (list_of_folders_to_check) if files of the type specified are there. If no file can be found in that folder with that type, the folder name is removed from the list @@ -52,10 +53,10 @@ def get_list_of_folders_with_specified_file_type_and_same_number_of_files(list_o :return: list of folders that do have at least one file with the correct file extension """ - if not (type(list_of_folders_to_check) is list): + if type(list_of_folders_to_check) is not list: raise ValueError("list_of_folders_to_check must be a list!") - if not (type(file_extension) is list): + if type(file_extension) is not list: raise ValueError("file_extension must be a list!") list_of_files = {} @@ -65,7 +66,7 @@ def get_list_of_folders_with_specified_file_type_and_same_number_of_files(list_o list_of_files[_folder] = [] for _ext in file_extension: - list_files_of_that_extension = glob.glob(os.path.join(_folder, '*.{}'.format(_ext))) + list_files_of_that_extension = glob.glob(os.path.join(_folder, f"*.{_ext}")) for _file in list_files_of_that_extension: list_of_files[_folder].append(_file) @@ -78,7 +79,6 @@ def get_list_of_folders_with_specified_file_type_and_same_number_of_files(list_o list_of_folders_checked = [] list_of_folders_rejected = [] for _folder in list_of_files.keys(): - _local_list_of_files = list_of_files[_folder] if len(_local_list_of_files) == max_len: list_of_folders_checked.append(_folder) @@ -95,5 +95,5 @@ def make_folder(folder_name): def make_or_reset_folder(folder_name): if os.path.exists(folder_name): - shutil.rmtree(folder_name) + shutil.rmtree(folder_name) os.makedirs(folder_name) diff --git a/notebooks/__code/_utilities/get.py b/notebooks/__code/_utilities/get.py index a1c08b26..4e71357f 100755 --- a/notebooks/__code/_utilities/get.py +++ b/notebooks/__code/_utilities/get.py @@ -5,7 +5,6 @@ class Get(Parent): - @staticmethod def log_file_name(log_file_name): full_log_file_name = Get.full_home_file_name(log_file_name) diff --git a/notebooks/__code/_utilities/images.py b/notebooks/__code/_utilities/images.py index 36d8f5a3..5e9483a9 100755 --- a/notebooks/__code/_utilities/images.py +++ b/notebooks/__code/_utilities/images.py @@ -1,30 +1,29 @@ -import os import dxchange import numpy as np from tqdm import tqdm -def _init_arr_from_stack(list_files, ext='.tiff', slc=None): +def _init_arr_from_stack(list_files, ext=".tiff", slc=None): """ Initialize numpy array from files in a folder. """ number_of_files = len(list_files) first_file = list_files[0] - if ext == '.fits': + if ext == ".fits": _arr = dxchange.read_fits(first_file) - f_type = 'fits' - elif ext in ['.tiff', '.tif']: + f_type = "fits" + elif ext in [".tiff", ".tif"]: _arr = dxchange.read_tiff(first_file) - f_type = 'tif' + f_type = "tif" else: - raise ValueError("'{}', only '.tif/.tiff' and '.fits' are supported.".format(first_file)) + raise ValueError(f"'{first_file}', only '.tif/.tiff' and '.fits' are supported.") size = (number_of_files, _arr.shape[0], _arr.shape[1]) return np.empty(size, dtype=_arr.dtype), f_type -def read_img_stack(list_files: list, ext='.tiff', fliplr=False, flipud=False): +def read_img_stack(list_files: list, ext=".tiff", fliplr=False, flipud=False): arr, f_type = _init_arr_from_stack(list_files, ext=ext) - if f_type == 'tif': + if f_type == "tif": for m, name in tqdm(enumerate(list_files)): _arr = dxchange.read_tiff(name) if fliplr: @@ -32,7 +31,7 @@ def read_img_stack(list_files: list, ext='.tiff', fliplr=False, flipud=False): if flipud: _arr = np.flipud(_arr) arr[m] = _arr - elif f_type == 'fits': + elif f_type == "fits": for m, name in tqdm(enumerate(list_files)): _arr = dxchange.read_fits(name) if fliplr: diff --git a/notebooks/__code/_utilities/json.py b/notebooks/__code/_utilities/json.py index 43d476d1..67b118aa 100755 --- a/notebooks/__code/_utilities/json.py +++ b/notebooks/__code/_utilities/json.py @@ -13,5 +13,5 @@ def load_json(json_file_name): def save_json(json_file_name, json_dictionary=None): - with open(json_file_name, 'w') as outfile: + with open(json_file_name, "w") as outfile: json.dump(json_dictionary, outfile) diff --git a/notebooks/__code/_utilities/list.py b/notebooks/__code/_utilities/list.py index 04ce2d1f..4c2dd97f 100755 --- a/notebooks/__code/_utilities/list.py +++ b/notebooks/__code/_utilities/list.py @@ -18,7 +18,7 @@ def are_those_two_lists_identical_within_tolerance(list1, list2, tolerance=0.01) if list1 == list2: return True - for item1, item2 in zip(list1, list2): + for item1, item2 in zip(list1, list2, strict=False): if not np.abs(float(item1) - float(item2)) <= tolerance: return False @@ -43,7 +43,7 @@ def are_those_two_lists_of_lists_identical_within_tolerance(list1, list2, tolera if list1 == list2: return True - for list_item1, list_item2 in zip(list1, list2): + for list_item1, list_item2 in zip(list1, list2, strict=False): if not are_those_two_lists_identical_within_tolerance(list_item1, list_item2, tolerance=tolerance): return False @@ -80,11 +80,11 @@ def extract_list_of_runs_from_string(string): raise TypeError("The parameter passed should be a string") list_of_runs = [] - list_of_items = string.split(',') + list_of_items = string.split(",") for item in list_of_items: item = item.strip() - if '-' in item: - limits = item.split('-') + if "-" in item: + limits = item.split("-") if len(limits) != 2: raise ValueError(f"Wrong format for the range of runs: {item}") try: @@ -108,4 +108,4 @@ def extract_list_of_runs_from_string(string): list_of_runs = list(set(list_of_runs)) list_of_runs.sort() - return list_of_runs \ No newline at end of file + return list_of_runs diff --git a/notebooks/__code/_utilities/list_widget.py b/notebooks/__code/_utilities/list_widget.py index d8ed0258..7adde827 100755 --- a/notebooks/__code/_utilities/list_widget.py +++ b/notebooks/__code/_utilities/list_widget.py @@ -1,5 +1,4 @@ class ListWidget: - def __init__(self, ui=None): self.ui = ui @@ -14,11 +13,11 @@ def get_number_elements(self): def select_next_element(self): current_row = self.get_current_row() - self.ui.setCurrentRow(current_row+1) + self.ui.setCurrentRow(current_row + 1) def select_previous_element(self): current_row = self.get_current_row() - self.ui.setCurrentRow(current_row-1) + self.ui.setCurrentRow(current_row - 1) def select_element(self, row=0): self.ui.setCurrentRow(row) diff --git a/notebooks/__code/_utilities/metadata_handler.py b/notebooks/__code/_utilities/metadata_handler.py index 5f311ce8..6be29cc5 100755 --- a/notebooks/__code/_utilities/metadata_handler.py +++ b/notebooks/__code/_utilities/metadata_handler.py @@ -1,12 +1,12 @@ +import collections import datetime import os from collections import OrderedDict -from PIL import Image -import collections +from PIL import Image -class MetadataHandler(object): +class MetadataHandler: @staticmethod def get_list_of_metadata(tiff_file=None): if tiff_file is None: @@ -17,14 +17,13 @@ def get_list_of_metadata(tiff_file=None): info = collections.OrderedDict(sorted(o_image0.tag_v2.items())) display_format = [] for tag, value in info.items(): - display_format.append("{} -> {}".format(tag, value)) + display_format.append(f"{tag} -> {value}") return display_format @staticmethod - def get_time_stamp(file_name='', ext='tif'): - - if ext in ['tif', 'tiff']: + def get_time_stamp(file_name="", ext="tif"): + if ext in ["tif", "tiff"]: try: o_image = Image.open(file_name) o_dict = dict(o_image.tag_v2) @@ -39,11 +38,11 @@ def get_time_stamp(file_name='', ext='tif'): except: time_stamp = os.path.getctime(file_name) - elif ext == 'fits': + elif ext == "fits": time_stamp = os.path.getctime(file_name) else: - raise NotImplemented + raise NotImplementedError return time_stamp @@ -74,7 +73,7 @@ def _convert_epics_timestamp_to_rfc3339_timestamp(epics_timestamp): return unix_epoch_timestamp @staticmethod - def get_metata(filename='', list_metadata=[]): + def get_metata(filename="", list_metadata=[]): if filename == "": return {} @@ -88,7 +87,7 @@ def get_metata(filename='', list_metadata=[]): return result @staticmethod - def get_metadata(filename='', list_metadata=[], using_enum_object=False): + def get_metadata(filename="", list_metadata=[], using_enum_object=False): if filename == "": return {} @@ -113,15 +112,15 @@ def retrieve_metadata(list_files=[], list_metadata=[], using_enum_object=False): _dict = OrderedDict() for _file in list_files: - _meta = MetadataHandler.get_metadata(filename=_file, - list_metadata=list_metadata, - using_enum_object=using_enum_object) + _meta = MetadataHandler.get_metadata( + filename=_file, list_metadata=list_metadata, using_enum_object=using_enum_object + ) _dict[_file] = _meta return _dict @staticmethod - def get_value_of_metadata_key(filename='', list_key=None): + def get_value_of_metadata_key(filename="", list_key=None): if filename == "": return {} @@ -146,8 +145,7 @@ def retrieve_value_of_metadata_key(list_files=[], list_key=[]): _dict = OrderedDict() for _file in list_files: - _meta = MetadataHandler.get_value_of_metadata_key(filename=_file, - list_key=list_key) + _meta = MetadataHandler.get_value_of_metadata_key(filename=_file, list_key=list_key) _dict[_file] = _meta return _dict diff --git a/notebooks/__code/_utilities/nexus.py b/notebooks/__code/_utilities/nexus.py index 8d6ed992..cfc32832 100644 --- a/notebooks/__code/_utilities/nexus.py +++ b/notebooks/__code/_utilities/nexus.py @@ -1,6 +1,7 @@ -import h5py import logging +import h5py + def extract_file_path_from_nexus(nexus_file_path): """ @@ -10,10 +11,9 @@ def extract_file_path_from_nexus(nexus_file_path): :return: str, the extracted file path """ logging.info(f"Extracting file path from NeXus file: {nexus_file_path}") - with h5py.File(nexus_file_path, 'r') as hdf5_data: - list_file_path = hdf5_data["entry"]["DASlogs"]["BL10:Exp:IM:ImageFilePath"]['value'][:] + with h5py.File(nexus_file_path, "r") as hdf5_data: + list_file_path = hdf5_data["entry"]["DASlogs"]["BL10:Exp:IM:ImageFilePath"]["value"][:] logging.info(f"\t{list_file_path} = ") - file_path = list_file_path[-1][0].decode('utf-8') + file_path = list_file_path[-1][0].decode("utf-8") logging.info(f"\t{file_path = }") return file_path - \ No newline at end of file diff --git a/notebooks/__code/_utilities/parent.py b/notebooks/__code/_utilities/parent.py index 4032364f..319b60b0 100755 --- a/notebooks/__code/_utilities/parent.py +++ b/notebooks/__code/_utilities/parent.py @@ -1,4 +1,3 @@ class Parent: - def __init__(self, parent=None): self.parent = parent diff --git a/notebooks/__code/_utilities/status_message.py b/notebooks/__code/_utilities/status_message.py index 091154df..50759a85 100755 --- a/notebooks/__code/_utilities/status_message.py +++ b/notebooks/__code/_utilities/status_message.py @@ -3,7 +3,6 @@ class StatusMessageStatus: - ready = "QStatusBar{padding-left:8px;background:rgba(236,236,236,75);color:green;font-weight:normal;}" working = "QStatusBar{padding-left:8px;background:rgba(105,105,105,75);color:rgb(210,105,30);font-weight:normal;}" error = "QStatusBar{padding-left:8px;background:rgba(255,0,0,255);color:black;font-weight:bold;}" diff --git a/notebooks/__code/_utilities/string.py b/notebooks/__code/_utilities/string.py index 036f37bb..3eece471 100755 --- a/notebooks/__code/_utilities/string.py +++ b/notebooks/__code/_utilities/string.py @@ -2,7 +2,7 @@ from IPython.display import HTML -def get_beginning_common_part_of_string_from_list(list_of_text=None, filename_spacer='_'): +def get_beginning_common_part_of_string_from_list(list_of_text=None, filename_spacer="_"): """This method returns the continuous part of a string, from the beginning, that can be found in all string provided. The match will stop before the last filename_spacer @@ -28,13 +28,23 @@ def get_beginning_common_part_of_string_from_list(list_of_text=None, filename_sp return filename_spacer.join(common_part) -def format_html_message(pre_message='', spacer=':', message='', is_error=False): +def format_html_message(pre_message="", spacer=":", message="", is_error=False): if is_error: - pre_message_color = 'red' - message_color = 'red' + pre_message_color = "red" + message_color = "red" else: - pre_message_color = 'blue' - message_color = 'green' - return HTML('' + pre_message + spacer + - '' + - '' + message + '') + pre_message_color = "blue" + message_color = "green" + return HTML( + '' + + pre_message + + spacer + + "" + + '' + + message + + "" + ) diff --git a/notebooks/__code/_utilities/system.py b/notebooks/__code/_utilities/system.py index afe832de..2ad0bc85 100755 --- a/notebooks/__code/_utilities/system.py +++ b/notebooks/__code/_utilities/system.py @@ -1,6 +1,7 @@ +import gc import os + import psutil -import gc def get_memory_usage(): @@ -14,13 +15,13 @@ def get_memory_usage(): """ process = psutil.Process(os.getpid()) mem_info = process.memory_info() - mem_usage_mb = mem_info.rss / (1024 ** 2) # Convert bytes to MB + mem_usage_mb = mem_info.rss / (1024**2) # Convert bytes to MB # Include memory usage of child processes for child in process.children(recursive=True): try: mem_info = child.memory_info() - mem_usage_mb += mem_info.rss / (1024 ** 2) + mem_usage_mb += mem_info.rss / (1024**2) except psutil.NoSuchProcess: continue @@ -34,15 +35,14 @@ def print_memory_usage(message="", end="\n"): mem_usage = get_memory_usage() if mem_usage < 999: - units = 'MB' + units = "MB" else: mem_usage /= 1000 - units = 'GB' + units = "GB" print(f"{message}: total memory usage = {mem_usage:.2f}{units}", end=end) def delete_object(object=None): - '''delete object from memory ''' + """delete object from memory""" object = None gc.collect() - \ No newline at end of file diff --git a/notebooks/__code/_utilities/table_handler.py b/notebooks/__code/_utilities/table_handler.py index 0a5127fb..95c4dbb0 100755 --- a/notebooks/__code/_utilities/table_handler.py +++ b/notebooks/__code/_utilities/table_handler.py @@ -1,5 +1,5 @@ import numpy as np -from qtpy import QtGui, QtCore +from qtpy import QtCore, QtGui from qtpy.QtWidgets import QTableWidgetItem, QTableWidgetSelectionRange from __code._utilities.widgets_handler import WidgetsHandler @@ -146,8 +146,7 @@ def insert_empty_row(self, row=0): self.table_ui.insertRow(row) def insert_row(self, row=0, list_col_name=None): - """row is the row number - """ + """row is the row number""" self.table_ui.insertRow(row) for column, _text in enumerate(list_col_name): _item = QTableWidgetItem(_text) @@ -172,14 +171,14 @@ def set_item_with_str(self, row=0, column=0, cell_str=""): self.table_ui.item(row, column).setText(cell_str) def set_item_with_float(self, row=0, column=0, float_value=""): - if (str(float_value) == 'None') or (str(float_value) == 'N/A'): + if (str(float_value) == "None") or (str(float_value) == "N/A"): _str_value = "N/A" else: _str_value = self.cell_str_format.format(float(float_value)) self.table_ui.item(row, column).setText(_str_value) def insert_item_with_float(self, row=0, column=0, float_value="", format_str="{}"): - if (str(float_value) == 'None') or (str(float_value) == 'N/A'): + if (str(float_value) == "None") or (str(float_value) == "N/A"): _str_value = "N/A" else: _str_value = format_str.format(float(float_value)) @@ -213,8 +212,7 @@ def fill_table_with(self, list_items=None, editable_columns_boolean=None, block_ block_signals: block or not any signal emitted by the table """ if block_signal: - WidgetsHandler.block_signals(ui=self.table_ui, - status=True) + WidgetsHandler.block_signals(ui=self.table_ui, status=True) self.remove_all_rows() @@ -225,11 +223,7 @@ def fill_table_with(self, list_items=None, editable_columns_boolean=None, block_ editable_flag = False else: editable_flag = editable_columns_boolean[_column_index] - self.insert_item(row=_row_index, - column=_column_index, - value=_text, - editable=editable_flag) + self.insert_item(row=_row_index, column=_column_index, value=_text, editable=editable_flag) if block_signal: - WidgetsHandler.block_signals(ui=self.table_ui, - status=False) + WidgetsHandler.block_signals(ui=self.table_ui, status=False) diff --git a/notebooks/__code/_utilities/time.py b/notebooks/__code/_utilities/time.py index 4b00fd7e..f00bb69d 100755 --- a/notebooks/__code/_utilities/time.py +++ b/notebooks/__code/_utilities/time.py @@ -1,13 +1,14 @@ +import datetime import os -from PIL import Image -import numpy as np import time +from collections import OrderedDict + +import numpy as np from dateutil.parser import parse from dateutil.relativedelta import relativedelta -import datetime -from collections import OrderedDict -from ipywidgets import widgets from IPython.display import display +from ipywidgets import widgets +from PIL import Image from __code import file_handler from __code.metadata_handler import MetadataHandler @@ -34,16 +35,10 @@ def format_time_stamp(file_name=None, time_stamp=None): _short_file_name = os.path.basename(file_name) [week_day, month, day, hours, year] = time_stamp.split() - [hours, minutes, seconds] = hours.split(':') - _dict_time = {"hours" : hours, - "minutes": minutes, - "seconds": seconds} + [hours, minutes, seconds] = hours.split(":") + _dict_time = {"hours": hours, "minutes": minutes, "seconds": seconds} - _dict_time_stamp = {"week_day": week_day, - "month" : month, - "day" : day, - "hours" : _dict_time, - "year" : year} + _dict_time_stamp = {"week_day": week_day, "month": month, "day": day, "hours": _dict_time, "year": year} return [_short_file_name, _dict_time_stamp] @@ -53,7 +48,7 @@ def convert_system_time_into_hours(system_time_s): return time_hour -def retrieve_time_stamp(filename=''): +def retrieve_time_stamp(filename=""): if not os.path.exists(filename): raise OSError @@ -63,20 +58,20 @@ def retrieve_time_stamp(filename=''): acquisition_time = metadata[65000][0] time_stamp = {} - time_stamp['acquisition_time_computer_format'] = acquisition_time - time_stamp['acquisition_time_user_format'] = time.ctime(acquisition_time) + time_stamp["acquisition_time_computer_format"] = acquisition_time + time_stamp["acquisition_time_user_format"] = time.ctime(acquisition_time) return time_stamp -def retrieve_exposure_time(filename=''): +def retrieve_exposure_time(filename=""): if not os.path.exists(filename): return -1 image = Image.open(filename) metadata = image.tag_v2.as_dict() - exposure_label_and_time = metadata[65021][0].split(':') + exposure_label_and_time = metadata[65021][0].split(":") exposure_time = float(exposure_label_and_time[1]) return exposure_time @@ -93,56 +88,55 @@ def retrieve_exposure_time(filename=''): def get_dict_of_time_stamps(file, index_file=-1, time_zero=-1, coeff=1): _dict = OrderedDict() acquisition_time_dict = retrieve_time_stamp(filename=file) - acquisition_time = acquisition_time_dict['acquisition_time_computer_format'] - _dict['raw_time_stamp'] = acquisition_time - _dict['ctime'] = acquisition_time_dict['acquisition_time_user_format'] + acquisition_time = acquisition_time_dict["acquisition_time_computer_format"] + _dict["raw_time_stamp"] = acquisition_time + _dict["ctime"] = acquisition_time_dict["acquisition_time_user_format"] if index_file == 0: - _dict['ms_since_first_image'] = 0 + _dict["ms_since_first_image"] = 0 else: delta_time = acquisition_time - time_zero - delta_time_ms = delta_time * 1000. - _dict['ms_since_first_image'] = delta_time_ms + delta_time_ms = delta_time * 1000.0 + _dict["ms_since_first_image"] = delta_time_ms return _dict def get_current_time_in_special_file_name_format(): - """format the current date and time into something like 04m_07d_2022y_08h_06mn """ + """format the current date and time into something like 04m_07d_2022y_08h_06mn""" current_time = datetime.datetime.now().strftime("%mm_%dd_%Yy_%Hh_%Mmn") return current_time -class RetrieveTimeStamp(object): +class RetrieveTimeStamp: list_time_stamp = [] list_time_stamp_user_format = [] output_list_files = [] input_list_files = [] - def __init__(self, folder='', files=[], is_notebook=False): + def __init__(self, folder="", files=[], is_notebook=False): self.folder = folder self.input_list_files = files self.__is_notebook = is_notebook def _run(self): - - [list_files, ext] = file_handler.retrieve_list_of_most_dominant_extension_from_folder(folder=self.folder, - files=self.input_list_files) + [list_files, ext] = file_handler.retrieve_list_of_most_dominant_extension_from_folder( + folder=self.folder, files=self.input_list_files + ) self.output_list_files = list_files - if ext.lower() in ['.tiff', '.tif']: - ext = 'tif' - elif ext.lower() == '.fits': - ext = 'fits' + if ext.lower() in [".tiff", ".tif"]: + ext = "tif" + elif ext.lower() == ".fits": + ext = "fits" else: raise ValueError if self.__is_notebook: - box = widgets.HBox([widgets.Label("Retrieving Time Stamp", - layout=widgets.Layout(width='20%')), - widgets.IntProgress(min=0, - max=len(list_files), - value=0, - layout=widgets.Layout(width='50%')) - ]) + box = widgets.HBox( + [ + widgets.Label("Retrieving Time Stamp", layout=widgets.Layout(width="20%")), + widgets.IntProgress(min=0, max=len(list_files), value=0, layout=widgets.Layout(width="50%")), + ] + ) progress_bar = box.children[1] display(box) @@ -165,19 +159,19 @@ def _run(self): class TimestampFormatter: - list_input_timestamp = ["%m/%d/%Y %H:%M:%S", - "%m/%d/%Y %I:%M:%S", - "%Y-%m-%d %H:%M:%S", - "%Y-%m-%d %I:%M:%S", - "%d/%m/%Y %H:%M:%S", - "%d/%m/%Y %I:%M:%S", - "%Y/%m/%d %H:%M:%S", - "%Y/%m/%d %I:%M:%S", - "%Y-%m-%dT%I:%M:%S-"] - - def __init__(self, timestamp="", - input_timestamp_format=None, - output_timestamp_format=TIMESTAMP_FORMAT): + list_input_timestamp = [ + "%m/%d/%Y %H:%M:%S", + "%m/%d/%Y %I:%M:%S", + "%Y-%m-%d %H:%M:%S", + "%Y-%m-%d %I:%M:%S", + "%d/%m/%Y %H:%M:%S", + "%d/%m/%Y %I:%M:%S", + "%Y/%m/%d %H:%M:%S", + "%Y/%m/%d %I:%M:%S", + "%Y-%m-%dT%I:%M:%S-", + ] + + def __init__(self, timestamp="", input_timestamp_format=None, output_timestamp_format=TIMESTAMP_FORMAT): self.timestamp = timestamp if input_timestamp_format is None: self.input_timestamp_format = self.list_input_timestamp @@ -193,7 +187,7 @@ def format_oncat_timestamp(self): [time, _] = time_edt.split(".") else: time = time_edt - return "{} {}".format(date, time) + return f"{date} {time}" def format(self): if self.input_timestamp_format[0] == TIMESTAMP_FORMAT: @@ -207,31 +201,25 @@ def format(self): return formatted_timestamp def convert_timestamp(self, timestamp): - """TIMESTAMP_FORMAT = "%Y-%m-%d %I:%M:%S" """ + """TIMESTAMP_FORMAT = "%Y-%m-%d %I:%M:%S" """ input_timestamp_format = self.list_input_timestamp o_time = None for _input_timestamp_format in input_timestamp_format: # print("trying this format {} with this {}".format(_input_timestamp_format, timestamp)) - o_time = TimestampFormatter.get_time_dict(timestamp=timestamp, - input_time_format=_input_timestamp_format) + o_time = TimestampFormatter.get_time_dict(timestamp=timestamp, input_time_format=_input_timestamp_format) if o_time: break if o_time: - converted_timestamp = "{}-{:02d}-{:02d} {:02d}:{:02d}:{:02d}".format(o_time.tm_year, - o_time.tm_mon, - o_time.tm_mday, - o_time.tm_hour, - o_time.tm_min, - o_time.tm_sec) + converted_timestamp = f"{o_time.tm_year}-{o_time.tm_mon:02d}-{o_time.tm_mday:02d} {o_time.tm_hour:02d}:{o_time.tm_min:02d}:{o_time.tm_sec:02d}" return converted_timestamp else: - raise ValueError("Time {} could not be converted! ".format(timestamp)) + raise ValueError(f"Time {timestamp} could not be converted! ") @staticmethod - def get_time_dict(timestamp="", input_time_format='%m/%d/%Y %H:%M:%S'): + def get_time_dict(timestamp="", input_time_format="%m/%d/%Y %H:%M:%S"): """return the time dict using the input time format proposed time_dict.tm_year time_dict.tm_mon @@ -245,7 +233,7 @@ def get_time_dict(timestamp="", input_time_format='%m/%d/%Y %H:%M:%S'): time_dict = time.strptime(timestamp.strip(), input_time_format) # print("{} -> {}".format(timestamp, time_dict)) except: - ValueError("Error converting {} -> {}".format(timestamp, input_time_format)) + ValueError(f"Error converting {timestamp} -> {input_time_format}") time_dict = None return time_dict @@ -257,29 +245,28 @@ def convert_to_second(timestamp_value, timestamp_format=TIMESTAMP_FORMAT): class AbsoluteTimeHandler: - def __init__(self, initial_absolute_time=None): if initial_absolute_time is None: raise ValueError("Please provide an initial absolute time format as 'YYYY-MM-DDTHH:MM:SS.SSSSSS-05:00") self.formatted_initial_absolute_time = parse(initial_absolute_time) - def get_absolute_time_for_this_delta_time_array(self, delta_time_array=None, units='seconds'): - ''' + def get_absolute_time_for_this_delta_time_array(self, delta_time_array=None, units="seconds"): + """ :param delta_time_array: list of time offset :param units: seconds by default ['seconds', 'minutes', 'hours'] :return: list of time in absolute scale - ''' + """ if delta_time_array is None: raise ValueError("Empty delta time array!") - if units == 'seconds': + if units == "seconds": delta_time_formated = [relativedelta(seconds=t) for t in delta_time_array] - elif units == 'minutes': + elif units == "minutes": delta_time_formated = [relativedelta(minutes=m) for m in delta_time_array] - elif units == 'hours': + elif units == "hours": delta_time_formated = [relativedelta(hours=h) for h in delta_time_array] else: raise NotImplementedError("time units not implemented!") @@ -291,12 +278,12 @@ def get_absolute_time_for_this_delta_time_array(self, delta_time_array=None, uni class RelativeTimeHandler: - '''the main goal of this class is to produce a relative time array using another starting time as a start. - In other words, let suppose some metadata got recorded in a nexus that started at time t0, another file recorded - another set of those same metadata but this file started at time t1. We want to calculate the time of this - set of metadata relative to the first file recorded. To do so we simply need to add (t1-t0) to the second - set of time array - ''' + """the main goal of this class is to produce a relative time array using another starting time as a start. + In other words, let suppose some metadata got recorded in a nexus that started at time t0, another file recorded + another set of those same metadata but this file started at time t1. We want to calculate the time of this + set of metadata relative to the first file recorded. To do so we simply need to add (t1-t0) to the second + set of time array + """ def __init__(self, master_initial_time=None, local_initial_time=None): if (master_initial_time is None) or (local_initial_time is None): @@ -312,7 +299,6 @@ def __init__(self, master_initial_time=None, local_initial_time=None): self.time_offset_calculated_s = time_offset_calculated.seconds def get_relative_time_for_this_time_array(self, time_array=None): - if time_array is None: raise ValueError("Empty time array!") diff --git a/notebooks/__code/_utilities/widgets_handler.py b/notebooks/__code/_utilities/widgets_handler.py index f9bd8385..7fd526a0 100755 --- a/notebooks/__code/_utilities/widgets_handler.py +++ b/notebooks/__code/_utilities/widgets_handler.py @@ -1,5 +1,4 @@ class WidgetsHandler: - @staticmethod def block_signals(ui=None, status=True): if ui is None: diff --git a/notebooks/__code/_utils.py b/notebooks/__code/_utils.py index 5dd4867f..2e471d43 100755 --- a/notebooks/__code/_utils.py +++ b/notebooks/__code/_utils.py @@ -1,10 +1,7 @@ -# coding: utf-8 +from IPython.display import HTML, display -import ipywidgets as ipyw -from IPython.display import display, HTML def js_alert(m): js = "" % m display(HTML(js)) return - diff --git a/notebooks/__code/addie.py b/notebooks/__code/addie.py index 16edf6df..e850a5c7 100755 --- a/notebooks/__code/addie.py +++ b/notebooks/__code/addie.py @@ -1,198 +1,195 @@ -#from IPython.display import HTML -#from IPython.display import display +# from IPython.display import HTML +# from IPython.display import display import copy import os -from os.path import expanduser -import numpy as np -from collections import OrderedDict import pickle from collections import OrderedDict -import pprint +from os.path import expanduser + +import numpy as np try: - from PyQt4.QtGui import QFileDialog - from PyQt4.QtCore import QObject from PyQt4 import QtCore, QtGui - from PyQt4.QtGui import QMainWindow, QTableWidgetItem, QMenu, QDialog + from PyQt4.QtCore import QObject + from PyQt4.QtGui import QDialog, QFileDialog, QMainWindow, QMenu, QTableWidgetItem except ImportError: try: - from PyQt5.QtWidgets import QFileDialog, QTreeWidgetItem, QTableWidgetItem from PyQt5 import QtCore, QtGui from PyQt5.QtCore import QObject - from PyQt5.QtWidgets import QApplication, QMainWindow, QMenu, QDialog, QAction + from PyQt5.QtWidgets import ( + QAction, + QApplication, + QDialog, + QFileDialog, + QMainWindow, + QMenu, + QTableWidgetItem, + QTreeWidgetItem, + ) except ImportError: raise ImportError("Requires PyQt5 or PyQt4.") -from __code.ui_addie import Ui_MainWindow as UiMainWindow +from __code.ui_addie import Ui_MainWindow as UiMainWindow from __code.ui_addie_save_config import Ui_Dialog as UiDialogSave user_home = expanduser("~") -CONFIG_FILE = os.path.join(user_home, '.addie_config.cfg') +CONFIG_FILE = os.path.join(user_home, ".addie_config.cfg") class Interface(QMainWindow): - - config_dict = OrderedDict() # various configurations defined by the user - reset_config_dict = OrderedDict() # just to reset full table - active_config_name = '' + config_dict = OrderedDict() # various configurations defined by the user + reset_config_dict = OrderedDict() # just to reset full table + active_config_name = "" # list of config previously saved by user and display when doing right click in table list_config_displayed = [] - item_dict = {'ui': None, - 'name': '', - 'state': True, - 'table_row_column': []} + item_dict = {"ui": None, "name": "", "state": True, "table_row_column": []} tree_dict_state = {} tree_column = 0 # this record the ui of each check box in the tree - tree_ui = {'h1': [], - 'h2': [], - 'h3': [], - } + tree_ui = { + "h1": [], + "h2": [], + "h3": [], + } - leaf = {'ui': None, - 'name': ''} + leaf = {"ui": None, "name": ""} # to know the column index of each element of the tree - h_index = {'h1': None, - 'h2': None, - 'h3': None} + h_index = {"h1": None, "h2": None, "h3": None} - base_dict = {'ui': None, - 'name': "Title", - 'children': None, - 'h_index': copy.deepcopy(h_index), - } + base_dict = { + "ui": None, + "name": "Title", + "children": None, + "h_index": copy.deepcopy(h_index), + } tree_dict = OrderedDict() - tree_dict['title'] = copy.deepcopy(base_dict) - tree_dict['title']['name'] = "Title" + tree_dict["title"] = copy.deepcopy(base_dict) + tree_dict["title"]["name"] = "Title" sample_children_1 = OrderedDict() - sample_children_1['sample_runs'] = copy.deepcopy(base_dict) - sample_children_1['sample_runs']['name'] = "Runs" + sample_children_1["sample_runs"] = copy.deepcopy(base_dict) + sample_children_1["sample_runs"]["name"] = "Runs" sample_children_2 = OrderedDict() - sample_children_2['sample_background_runs'] = copy.deepcopy(base_dict) - sample_children_2['sample_background_runs']['name'] = "Runs" + sample_children_2["sample_background_runs"] = copy.deepcopy(base_dict) + sample_children_2["sample_background_runs"]["name"] = "Runs" - sample_children_2['sample_background_background'] = copy.deepcopy(base_dict) - sample_children_2['sample_background_background']['name'] = "Background" + sample_children_2["sample_background_background"] = copy.deepcopy(base_dict) + sample_children_2["sample_background_background"]["name"] = "Background" - sample_children_1['sample_background'] = copy.deepcopy(base_dict) - sample_children_1['sample_background']['name'] = "Background" - sample_children_1['sample_background']['children'] = sample_children_2 + sample_children_1["sample_background"] = copy.deepcopy(base_dict) + sample_children_1["sample_background"]["name"] = "Background" + sample_children_1["sample_background"]["children"] = sample_children_2 - sample_children_1['sample_material'] = copy.deepcopy(base_dict) - sample_children_1['sample_material']['name'] = "Material" + sample_children_1["sample_material"] = copy.deepcopy(base_dict) + sample_children_1["sample_material"]["name"] = "Material" - sample_children_1['sample_packing_fraction'] = copy.deepcopy(base_dict) - sample_children_1['sample_packing_fraction']['name'] = "Packing Fraction" + sample_children_1["sample_packing_fraction"] = copy.deepcopy(base_dict) + sample_children_1["sample_packing_fraction"]["name"] = "Packing Fraction" sample_children_2 = OrderedDict() - sample_children_2['sample_geometry_shape'] = copy.deepcopy(base_dict) - sample_children_2['sample_geometry_shape']['name'] = "Shape" + sample_children_2["sample_geometry_shape"] = copy.deepcopy(base_dict) + sample_children_2["sample_geometry_shape"]["name"] = "Shape" - sample_children_2['sample_geometry_radius'] = copy.deepcopy(base_dict) - sample_children_2['sample_geometry_radius']['name'] = "Radius" + sample_children_2["sample_geometry_radius"] = copy.deepcopy(base_dict) + sample_children_2["sample_geometry_radius"]["name"] = "Radius" - sample_children_2['sample_geometry_Height'] = copy.deepcopy(base_dict) - sample_children_2['sample_geometry_Height']['name'] = "Height" + sample_children_2["sample_geometry_Height"] = copy.deepcopy(base_dict) + sample_children_2["sample_geometry_Height"]["name"] = "Height" - sample_children_1['sample_geometry'] = copy.deepcopy(base_dict) - sample_children_1['sample_geometry']['name'] = "Geometry" - sample_children_1['sample_geometry']['children'] = sample_children_2 + sample_children_1["sample_geometry"] = copy.deepcopy(base_dict) + sample_children_1["sample_geometry"]["name"] = "Geometry" + sample_children_1["sample_geometry"]["children"] = sample_children_2 - sample_children_1['sample_absolute_correction'] = copy.deepcopy(base_dict) - sample_children_1['sample_absolute_correction']['name'] = "Abs. Correction" + sample_children_1["sample_absolute_correction"] = copy.deepcopy(base_dict) + sample_children_1["sample_absolute_correction"]["name"] = "Abs. Correction" - sample_children_1['sample_multi_scattering_correction'] = copy.deepcopy(base_dict) - sample_children_1['sample_multi_scattering_correction']['name'] = 'Multi Scattering Correction' + sample_children_1["sample_multi_scattering_correction"] = copy.deepcopy(base_dict) + sample_children_1["sample_multi_scattering_correction"]["name"] = "Multi Scattering Correction" - sample_children_1['sample_inelastic_correction'] = copy.deepcopy(base_dict) - sample_children_1['sample_inelastic_correction']['name'] = 'Inelastic Correction' + sample_children_1["sample_inelastic_correction"] = copy.deepcopy(base_dict) + sample_children_1["sample_inelastic_correction"]["name"] = "Inelastic Correction" - tree_dict['sample'] = copy.deepcopy(base_dict) - tree_dict['sample']['name'] = 'Sample' - tree_dict['sample']['children'] = sample_children_1 + tree_dict["sample"] = copy.deepcopy(base_dict) + tree_dict["sample"]["name"] = "Sample" + tree_dict["sample"]["children"] = sample_children_1 vanadium_children_1 = OrderedDict() - vanadium_children_1['vanadium_runs'] = copy.deepcopy(base_dict) - vanadium_children_1['vanadium_runs']['name'] = "Runs" + vanadium_children_1["vanadium_runs"] = copy.deepcopy(base_dict) + vanadium_children_1["vanadium_runs"]["name"] = "Runs" vanadium_children_2 = OrderedDict() - vanadium_children_2['vanadium_background_runs'] = copy.deepcopy(base_dict) - vanadium_children_2['vanadium_background_runs']['name'] = "Runs" + vanadium_children_2["vanadium_background_runs"] = copy.deepcopy(base_dict) + vanadium_children_2["vanadium_background_runs"]["name"] = "Runs" - vanadium_children_2['vanadium_background_background'] = copy.deepcopy(base_dict) - vanadium_children_2['vanadium_background_background']['name'] = "Background" + vanadium_children_2["vanadium_background_background"] = copy.deepcopy(base_dict) + vanadium_children_2["vanadium_background_background"]["name"] = "Background" - vanadium_children_1['vanadium_background'] = copy.deepcopy(base_dict) - vanadium_children_1['vanadium_background']['name'] = "Background" - vanadium_children_1['vanadium_background']['children'] = vanadium_children_2 + vanadium_children_1["vanadium_background"] = copy.deepcopy(base_dict) + vanadium_children_1["vanadium_background"]["name"] = "Background" + vanadium_children_1["vanadium_background"]["children"] = vanadium_children_2 - vanadium_children_1['vanadium_material'] = copy.deepcopy(base_dict) - vanadium_children_1['vanadium_material']['name'] = "Materials" + vanadium_children_1["vanadium_material"] = copy.deepcopy(base_dict) + vanadium_children_1["vanadium_material"]["name"] = "Materials" - vanadium_children_1['vanadium_packing_fraction'] = copy.deepcopy(base_dict) - vanadium_children_1['vanadium_packing_fraction']['name'] = "Packing Fraction" + vanadium_children_1["vanadium_packing_fraction"] = copy.deepcopy(base_dict) + vanadium_children_1["vanadium_packing_fraction"]["name"] = "Packing Fraction" vanadium_children_2 = OrderedDict() - vanadium_children_2['vanadium_geometry_shape'] = copy.deepcopy(base_dict) - vanadium_children_2['vanadium_geometry_shape']['name'] = 'Shape' + vanadium_children_2["vanadium_geometry_shape"] = copy.deepcopy(base_dict) + vanadium_children_2["vanadium_geometry_shape"]["name"] = "Shape" - vanadium_children_2['vanadium_geometry_radius'] = copy.deepcopy(base_dict) - vanadium_children_2['vanadium_geometry_radius']['name'] = 'Radius' + vanadium_children_2["vanadium_geometry_radius"] = copy.deepcopy(base_dict) + vanadium_children_2["vanadium_geometry_radius"]["name"] = "Radius" - vanadium_children_2['vanadium_geometry_Height'] = copy.deepcopy(base_dict) - vanadium_children_2['vanadium_geometry_Height']['name'] = 'Height' + vanadium_children_2["vanadium_geometry_Height"] = copy.deepcopy(base_dict) + vanadium_children_2["vanadium_geometry_Height"]["name"] = "Height" - vanadium_children_1['vanadium_geometry'] = copy.deepcopy(base_dict) - vanadium_children_1['vanadium_geometry']['name'] = 'Geometry' - vanadium_children_1['vanadium_geometry']['children'] = vanadium_children_2 + vanadium_children_1["vanadium_geometry"] = copy.deepcopy(base_dict) + vanadium_children_1["vanadium_geometry"]["name"] = "Geometry" + vanadium_children_1["vanadium_geometry"]["children"] = vanadium_children_2 - vanadium_children_1['vanadium_absolute_correction'] = copy.deepcopy(base_dict) - vanadium_children_1['vanadium_absolute_correction']['name'] = "Abs. Correction" + vanadium_children_1["vanadium_absolute_correction"] = copy.deepcopy(base_dict) + vanadium_children_1["vanadium_absolute_correction"]["name"] = "Abs. Correction" - vanadium_children_1['vanadium_multi_scattering_correction'] = copy.deepcopy(base_dict) - vanadium_children_1['vanadium_multi_scattering_correction']['name'] = 'Multi Scattering Correction' + vanadium_children_1["vanadium_multi_scattering_correction"] = copy.deepcopy(base_dict) + vanadium_children_1["vanadium_multi_scattering_correction"]["name"] = "Multi Scattering Correction" - vanadium_children_1['vanadium_inelastic_correction'] = copy.deepcopy(base_dict) - vanadium_children_1['vanadium_inelastic_correction']['name'] = "Inelastic Correction" + vanadium_children_1["vanadium_inelastic_correction"] = copy.deepcopy(base_dict) + vanadium_children_1["vanadium_inelastic_correction"]["name"] = "Inelastic Correction" - tree_dict['vanadium'] = copy.deepcopy(base_dict) - tree_dict['vanadium']['name'] = 'Vanadium' - tree_dict['vanadium']['children'] = vanadium_children_1 + tree_dict["vanadium"] = copy.deepcopy(base_dict) + tree_dict["vanadium"]["name"] = "Vanadium" + tree_dict["vanadium"]["children"] = vanadium_children_1 - table_headers = {'h1': [], - 'h2': [], - 'h3': [], - } + table_headers = { + "h1": [], + "h2": [], + "h3": [], + } # to find which h1 column goes with wich h2 and which h3 - table_columns_links = {'h1': [], - 'h2': [], - 'h3': [], - } + table_columns_links = { + "h1": [], + "h2": [], + "h3": [], + } default_width = 90 - table_width = {'h1': [], - 'h2': [], - 'h3': []} - - columns_label = {'h1': [], - 'h2': [], - 'h3': []} + table_width = {"h1": [], "h2": [], "h3": []} + columns_label = {"h1": [], "h2": [], "h3": []} minimum_col_width = 10 def __init__(self, parent=None): - # display(HTML('Check UI that popped up \ # (maybe hidden behind this browser!)')) @@ -209,13 +206,13 @@ def __init__(self, parent=None): self.save_raw_config() def save_raw_config(self): - '''this will allow the user to reset the full table and get it back in its initial state''' + """this will allow the user to reset the full table and get it back in its initial state""" o_current_table_config = TableConfig(parent=self) current_config = o_current_table_config.get_current_config() inside_dict = OrderedDict() - inside_dict['table'] = current_config - inside_dict['active'] = False + inside_dict["table"] = current_config + inside_dict["active"] = False self.reset_config_dict = inside_dict @@ -228,15 +225,15 @@ def init_signals(self): self.ui.h2_table.horizontalScrollBar().valueChanged.connect(self.scroll_h2_table) self.ui.h3_table.horizontalScrollBar().valueChanged.connect(self.scroll_h3_table) - def load_this_config(self, key='', resize=False): - if key == '': + def load_this_config(self, key="", resize=False): + if key == "": return - config_to_load = self.config_dict[key]['table'] + config_to_load = self.config_dict[key]["table"] - h1_dict = config_to_load['h1'] - h2_dict = config_to_load['h2'] - h3_dict = config_to_load['h3'] + h1_dict = config_to_load["h1"] + h2_dict = config_to_load["h2"] + h3_dict = config_to_load["h3"] # print("config to load") # pprint.pprint(config_to_load) @@ -248,18 +245,18 @@ def load_this_config(self, key='', resize=False): self.block_table_ui() for _col in h1_dict: - _visible = h1_dict[_col]['visible'] - _width = h1_dict[_col]['width'] + _visible = h1_dict[_col]["visible"] + _width = h1_dict[_col]["width"] self.set_size_and_visibility_column(h1=_col, width=_width, visibility=_visible, resize=resize) for _col in h2_dict: - _visible = h2_dict[_col]['visible'] - _width = h2_dict[_col]['width'] + _visible = h2_dict[_col]["visible"] + _width = h2_dict[_col]["width"] self.set_size_and_visibility_column(h2=_col, width=_width, visibility=_visible, resize=resize) for _col in h3_dict: - _visible = h3_dict[_col]['visible'] - _width = h3_dict[_col]['width'] + _visible = h3_dict[_col]["visible"] + _width = h3_dict[_col]["width"] self.set_size_and_visibility_column(h3=_col, width=_width, visibility=_visible, resize=resize) self.update_tree_dict_and_tree(config_to_load) @@ -267,9 +264,8 @@ def load_this_config(self, key='', resize=False): self.block_table_ui(unblock_all=True) - def update_tree_dict_and_tree(self, config_to_load={}): - '''This method will update the tree_dict dictionary as well as the state of the tree''' + """This method will update the tree_dict dictionary as well as the state of the tree""" def from_boolean_to_ui_status(visible): if visible: @@ -278,12 +274,12 @@ def from_boolean_to_ui_status(visible): return QtCore.Qt.Unchecked def change_state_tree_widgets(list_tree_ui, list_h_columns): - for _ui, _key in zip(list_tree_ui, list_h_columns): + for _ui, _key in zip(list_tree_ui, list_h_columns, strict=False): if _ui is None: continue else: _config = list_h_columns[_key] - _visibility = _config['visible'] + _visibility = _config["visible"] _state = from_boolean_to_ui_status(_visibility) _ui.setCheckState(0, _state) @@ -295,28 +291,26 @@ def change_state_tree_widgets(list_tree_ui, list_h_columns): tree_ui = self.tree_ui # working with h1 - list_h1_columns = config_to_load['h1'] - list_h1_tree_ui = tree_ui['h1'] + list_h1_columns = config_to_load["h1"] + list_h1_tree_ui = tree_ui["h1"] change_state_tree_widgets(list_h1_tree_ui, list_h1_columns) # working with h2 - list_h2_columns = config_to_load['h2'] - list_h2_tree_ui = tree_ui['h2'] + list_h2_columns = config_to_load["h2"] + list_h2_tree_ui = tree_ui["h2"] change_state_tree_widgets(list_h2_tree_ui, list_h2_columns) # working with h3 - list_h3_columns = config_to_load['h3'] - list_h3_tree_ui = tree_ui['h3'] + list_h3_columns = config_to_load["h3"] + list_h3_tree_ui = tree_ui["h3"] change_state_tree_widgets(list_h3_tree_ui, list_h3_columns) self.ui.treeWidget.blockSignals(False) - def h3_table_right_click(self, position): o_h3_table = H3TableHandler(parent=self) o_h3_table.right_click() - def scroll_h1_table(self, value): self.ui.h2_table.horizontalScrollBar().setValue(value) self.ui.h3_table.horizontalScrollBar().setValue(value) @@ -329,12 +323,7 @@ def scroll_h3_table(self, value): self.ui.h1_table.horizontalScrollBar().setValue(value) self.ui.h2_table.horizontalScrollBar().setValue(value) - def block_table_ui(self, block_all=True, - unblock_all=False, - block_h1=False, - block_h2=False, - block_h3=False): - + def block_table_ui(self, block_all=True, unblock_all=False, block_h1=False, block_h2=False, block_h3=False): if block_all: block_h1 = True block_h2 = True @@ -381,13 +370,12 @@ def resizing_h1(self, index_column, old_size, new_size): # add this size_diff to last_h2 and last_h3 last_h3_visible_size = self.get_size_column(h3=last_h3_visible) - if (last_h3_visible_size < self.minimum_col_width) and \ - (new_size < old_size): + if (last_h3_visible_size < self.minimum_col_width) and (new_size < old_size): self.set_size_column(h1=index_column, width=old_size) else: last_h2_visible_size = self.get_size_column(h2=last_h2_visible) - self.set_size_column(h2=last_h2_visible, width=last_h2_visible_size+size_diff) - self.set_size_column(h3=last_h3_visible, width=last_h3_visible_size+size_diff) + self.set_size_column(h2=last_h2_visible, width=last_h2_visible_size + size_diff) + self.set_size_column(h3=last_h3_visible, width=last_h3_visible_size + size_diff) self.block_table_ui(unblock_all=True) # print("") @@ -409,19 +397,18 @@ def resizing_h2(self, index_column, old_size, new_size): size_diff = new_size - old_size last_h3_visible_size = self.get_size_column(h3=last_h3_visible) - if (last_h3_visible_size < self.minimum_col_width) and \ - (new_size < old_size): + if (last_h3_visible_size < self.minimum_col_width) and (new_size < old_size): self.set_size_column(h2=index_column, width=old_size) else: # add this size_diff to parent and last h3 parent_size = self.get_size_column(h1=h1_parent) - self.set_size_column(h1=h1_parent, width=parent_size+size_diff) - self.set_size_column(h3=last_h3_visible, width=last_h3_visible_size+size_diff) + self.set_size_column(h1=h1_parent, width=parent_size + size_diff) + self.set_size_column(h3=last_h3_visible, width=last_h3_visible_size + size_diff) self.block_table_ui(unblock_all=True) def resizing_h1_using_all_visible_h2(self, h1=None): - '''automatically resize the h1 using all its h2 visible ''' + """automatically resize the h1 using all its h2 visible""" h2_children = self.get_h2_children_from_h1(h1=h1) list_visible_h2 = self.get_all_h2_visible(list_h2=h2_children) @@ -446,14 +433,14 @@ def resizing_h3(self, index_column, old_size, new_size): # get h2 and h1 size and resize them h1_parent_size = self.get_size_column(h1=h1_parent) - self.set_size_column(h1=h1_parent, width=h1_parent_size+size_diff) + self.set_size_column(h1=h1_parent, width=h1_parent_size + size_diff) h2_parent_size = self.get_size_column(h2=h2_parent) - self.set_size_column(h2=h2_parent, width=h2_parent_size+size_diff) + self.set_size_column(h2=h2_parent, width=h2_parent_size + size_diff) self.block_table_ui(unblock_all=True) def resizing_h2_using_all_visible_h3(self, h2=None): - '''automatically resizing the h2 using all its h3 visible''' + """automatically resizing the h2 using all its h3 visible""" h3_children = self.get_h3_children_from_h2(h2=h2) list_visible_h3 = self.get_all_h3_visible(list_h3=h3_children) @@ -474,24 +461,24 @@ def is_h_visible(self, h1=None, h2=None, h3=None): return not table_ui.isColumnHidden(master_h) def get_table_ui(self, h1=None, h2=None, h3=None): - '''h1, h2 or h3 are column indexes''' - if not h1 is None: + """h1, h2 or h3 are column indexes""" + if h1 is not None: table_ui = self.ui.h1_table - elif not h2 is None: + elif h2 is not None: table_ui = self.ui.h2_table - elif not h3 is None: + elif h3 is not None: table_ui = self.ui.h3_table else: table_ui = None return table_ui def get_master_h(self, h1=None, h2=None, h3=None): - '''return the only defined column index from h1, h2 or h3 table''' - if not h1 is None: + """return the only defined column index from h1, h2 or h3 table""" + if h1 is not None: return h1 - elif not h2 is None: + elif h2 is not None: return h2 - elif not h3 is None: + elif h3 is not None: return h3 else: return None @@ -524,12 +511,12 @@ def get_h2_children_from_h1(self, h1=-1): return None table_columns_links = self.table_columns_links - list_h2_values = table_columns_links['h2'] + list_h2_values = table_columns_links["h2"] return list_h2_values[h1] def get_all_h2_visible(self, list_h2=[]): - '''return the list of all the visible h2 from the list of h2 given''' + """return the list of all the visible h2 from the list of h2 given""" if list_h2 == []: return None @@ -549,7 +536,7 @@ def get_last_h2_visible(self, list_h2=[]): return None def get_all_h3_visible(self, list_h3=[]): - '''return the list of all the visible h3 from the list of h3 given''' + """return the list of all the visible h3 from the list of h3 given""" if list_h3 == []: return None @@ -573,8 +560,8 @@ def get_h3_children_from_h2(self, h2=-1): return None table_columns_links = self.table_columns_links - list_h3_values = table_columns_links['h3'] - list_h2_values = table_columns_links['h2'] + list_h3_values = table_columns_links["h3"] + list_h2_values = table_columns_links["h2"] index_h2 = -1 index_h1 = 0 @@ -594,7 +581,7 @@ def get_h1_parent_from_h2(self, h2=-1): return None table_columns_links = self.table_columns_links - list_h2_values = table_columns_links['h2'] + list_h2_values = table_columns_links["h2"] h1_parent_index = 0 for h2_values in list_h2_values: @@ -609,7 +596,7 @@ def get_h1_h2_parent_from_h3(self, h3=-1): return [None, None] table_columns_links = self.table_columns_links - list_h3_values = table_columns_links['h3'] + list_h3_values = table_columns_links["h3"] h1_parent_index = 0 h2_parent_index = 0 @@ -624,7 +611,7 @@ def get_h1_h2_parent_from_h3(self, h3=-1): return [None, None] def resizing_table(self, tree_dict={}): - '''updating the size of the columns using visibility of the various elements of the tree''' + """updating the size of the columns using visibility of the various elements of the tree""" if tree_dict == {}: return @@ -632,15 +619,14 @@ def resizing_table(self, tree_dict={}): # if user disabled or enabled at the h1 level, nothing to do as all the columns will be automatically # resized the right way - h1 = tree_dict['h1'] - h2 = tree_dict['h2'] - h3 = tree_dict['h3'] + h1 = tree_dict["h1"] + h2 = tree_dict["h2"] + h3 = tree_dict["h3"] if not h1 == []: pass # if user clicked at the h2 level elif not h2 == []: - h2 = h2[0] h1_parent = self.get_h1_parent_from_h2(h2=h2) @@ -659,7 +645,6 @@ def resizing_table(self, tree_dict={}): # if user clicked at the h3 level elif not h3 == []: - h3 = h3[0] [h1_parent, h2_parent] = self.get_h1_h2_parent_from_h3(h3=h3) @@ -691,24 +676,23 @@ def resizing_table(self, tree_dict={}): self.block_table_ui(unblock_all=True) - def init_headers(self): td = self.tree_dict - table_headers = {'h1': [], 'h2': [], 'h3': []} + table_headers = {"h1": [], "h2": [], "h3": []} for _key_h1 in td.keys(): - table_headers['h1'].append(td[_key_h1]['name']) - if td[_key_h1]['children']: - for _key_h2 in td[_key_h1]['children'].keys(): - table_headers['h2'].append(td[_key_h1]['children'][_key_h2]['name']) - if td[_key_h1]['children'][_key_h2]['children']: - for _key_h3 in td[_key_h1]['children'][_key_h2]['children'].keys(): - table_headers['h3'].append(td[_key_h1]['children'][_key_h2]['children'][_key_h3]['name']) + table_headers["h1"].append(td[_key_h1]["name"]) + if td[_key_h1]["children"]: + for _key_h2 in td[_key_h1]["children"].keys(): + table_headers["h2"].append(td[_key_h1]["children"][_key_h2]["name"]) + if td[_key_h1]["children"][_key_h2]["children"]: + for _key_h3 in td[_key_h1]["children"][_key_h2]["children"].keys(): + table_headers["h3"].append(td[_key_h1]["children"][_key_h2]["children"][_key_h3]["name"]) else: - table_headers['h3'].append('') + table_headers["h3"].append("") else: - table_headers['h2'].append('') - table_headers['h3'].append('') + table_headers["h2"].append("") + table_headers["h3"].append("") self.table_headers = table_headers @@ -725,66 +709,61 @@ def init_table_header(self, table_ui=None, list_items=None): def init_table_dimensions(self): td = self.tree_dict - table_width = {'h1': [], 'h2': [], 'h3': []} + table_width = {"h1": [], "h2": [], "h3": []} # check all the h1 headers for _key_h1 in td.keys(): - # if h1 header has children - if td[_key_h1]['children']: - + if td[_key_h1]["children"]: absolute_nbr_h3_for_this_h1 = 0 # loop through list of h2 header for this h1 header - for _key_h2 in td[_key_h1]['children'].keys(): - + for _key_h2 in td[_key_h1]["children"].keys(): # if h2 has children, just count how many children - if td[_key_h1]['children'][_key_h2]['children']: - nbr_h3 = len(td[_key_h1]['children'][_key_h2]['children']) + if td[_key_h1]["children"][_key_h2]["children"]: + nbr_h3 = len(td[_key_h1]["children"][_key_h2]["children"]) for _ in np.arange(nbr_h3): - table_width['h3'].append(self.default_width) + table_width["h3"].append(self.default_width) ## h2 header will be as wide as the number of h3 children - table_width['h2'].append(nbr_h3 * self.default_width) + table_width["h2"].append(nbr_h3 * self.default_width) ## h1 header will be += the number of h3 children absolute_nbr_h3_for_this_h1 += nbr_h3 # if h2 has no children else: - ## h2 header is 1 wide - table_width['h2'].append(self.default_width) - table_width['h3'].append(self.default_width) + table_width["h2"].append(self.default_width) + table_width["h3"].append(self.default_width) ## h2 header will be += 1 absolute_nbr_h3_for_this_h1 += 1 - table_width['h1'].append(absolute_nbr_h3_for_this_h1 * self.default_width) + table_width["h1"].append(absolute_nbr_h3_for_this_h1 * self.default_width) # if h1 has no children else: # h1, h2 and h3 are 1 wide - table_width['h1'].append(self.default_width) - table_width['h2'].append(self.default_width) - table_width['h3'].append(self.default_width) + table_width["h1"].append(self.default_width) + table_width["h2"].append(self.default_width) + table_width["h3"].append(self.default_width) self.table_width = table_width def init_tables(self): - # set h1, h2 and h3 headers self.init_headers() - self.init_table_header(table_ui=self.ui.h1_table, list_items=self.table_headers['h1']) - self.init_table_header(table_ui=self.ui.h2_table, list_items=self.table_headers['h2']) - self.init_table_header(table_ui=self.ui.h3_table, list_items=self.table_headers['h3']) + self.init_table_header(table_ui=self.ui.h1_table, list_items=self.table_headers["h1"]) + self.init_table_header(table_ui=self.ui.h2_table, list_items=self.table_headers["h2"]) + self.init_table_header(table_ui=self.ui.h3_table, list_items=self.table_headers["h3"]) # set h1, h2 and h3 width self.init_table_dimensions() - self.init_table_col_width(table_width=self.table_width['h1'], table_ui=self.ui.h1_table) - self.init_table_col_width(table_width=self.table_width['h2'], table_ui=self.ui.h2_table) - self.init_table_col_width(table_width=self.table_width['h3'], table_ui=self.ui.h3_table) + self.init_table_col_width(table_width=self.table_width["h1"], table_ui=self.ui.h1_table) + self.init_table_col_width(table_width=self.table_width["h2"], table_ui=self.ui.h2_table) + self.init_table_col_width(table_width=self.table_width["h3"], table_ui=self.ui.h3_table) self.h1_header_table = self.ui.h1_table.horizontalHeader() self.h2_header_table = self.ui.h2_table.horizontalHeader() @@ -805,22 +784,17 @@ def get_item_name(self, item): td = self.tree_dict for _key_h1 in td.keys(): - - if item == td[_key_h1]['ui']: + if item == td[_key_h1]["ui"]: return _key_h1 - if td[_key_h1]['children']: - - for _key_h2 in td[_key_h1]['children'].keys(): - - if item == td[_key_h1]['children'][_key_h2]['ui']: + if td[_key_h1]["children"]: + for _key_h2 in td[_key_h1]["children"].keys(): + if item == td[_key_h1]["children"][_key_h2]["ui"]: return _key_h2 - if td[_key_h1]['children'][_key_h2]['children']: - - for _key_h3 in td[_key_h1]['children'][_key_h2]['children'].keys(): - - if item == td[_key_h1]['children'][_key_h2]['children'][_key_h3]['ui']: + if td[_key_h1]["children"][_key_h2]["children"]: + for _key_h3 in td[_key_h1]["children"][_key_h2]["children"].keys(): + if item == td[_key_h1]["children"][_key_h2]["children"][_key_h3]["ui"]: return _key_h3 return None @@ -831,23 +805,25 @@ def tree_item_changed(self, item, _): self.h1_header_table.blockSignals(True) self.h2_header_table.blockSignals(True) - #self.h3_header_table.blockSignals(True) + # self.h3_header_table.blockSignals(True) h_columns_affected = self.get_h_columns_from_item_name(item_name=self.get_item_name(item)) # import pprint # pprint.pprint(h_columns_affected) - self.change_state_tree(list_ui=h_columns_affected['list_tree_ui'], - list_parent_ui=h_columns_affected['list_parent_ui'], - state=item.checkState(0)) + self.change_state_tree( + list_ui=h_columns_affected["list_tree_ui"], + list_parent_ui=h_columns_affected["list_parent_ui"], + state=item.checkState(0), + ) self.update_table_columns_visibility() self.resizing_table(tree_dict=h_columns_affected) - + self.h1_header_table.blockSignals(False) self.h2_header_table.blockSignals(False) - #self.h3_header_table.blockSignals(False) + # self.h3_header_table.blockSignals(False) def make_all_columns_visible(self): """Make all columns of all table visible""" @@ -881,7 +857,7 @@ def set_column_visibility(column=-1, table_ui=None, visible=0): QtGui.QGuiApplication.processEvents() def get_boolean_state(key=None): - status = key['state'] + status = key["state"] if status == QtCore.Qt.Checked: return True else: @@ -892,50 +868,35 @@ def get_boolean_state(key=None): td = self.tree_dict for h1_counter, _key_h1 in enumerate(td.keys()): - _h1_boolean_status = get_boolean_state(td[_key_h1]) - set_column_visibility(column=h1_counter, - table_ui=self.ui.h1_table, - visible=_h1_boolean_status) - - if td[_key_h1]['children']: - - for _key_h2 in td[_key_h1]['children'].keys(): - - _h2_boolean_status = get_boolean_state(td[_key_h1]['children'][_key_h2]) - set_column_visibility(column=h2_counter, - table_ui=self.ui.h2_table, - visible=_h2_boolean_status) - - if td[_key_h1]['children'][_key_h2]['children']: - - for _key_h3 in td[_key_h1]['children'][_key_h2]['children'].keys(): - - _h3_boolean_status = get_boolean_state(td[_key_h1]['children'][_key_h2]['children'][_key_h3]) - set_column_visibility(column=h3_counter, - table_ui=self.ui.h3_table, - visible=_h3_boolean_status) + set_column_visibility(column=h1_counter, table_ui=self.ui.h1_table, visible=_h1_boolean_status) + + if td[_key_h1]["children"]: + for _key_h2 in td[_key_h1]["children"].keys(): + _h2_boolean_status = get_boolean_state(td[_key_h1]["children"][_key_h2]) + set_column_visibility(column=h2_counter, table_ui=self.ui.h2_table, visible=_h2_boolean_status) + + if td[_key_h1]["children"][_key_h2]["children"]: + for _key_h3 in td[_key_h1]["children"][_key_h2]["children"].keys(): + _h3_boolean_status = get_boolean_state( + td[_key_h1]["children"][_key_h2]["children"][_key_h3] + ) + set_column_visibility( + column=h3_counter, table_ui=self.ui.h3_table, visible=_h3_boolean_status + ) h3_counter += 1 else: - - set_column_visibility(column=h3_counter, - table_ui=self.ui.h3_table, - visible=_h2_boolean_status) + set_column_visibility(column=h3_counter, table_ui=self.ui.h3_table, visible=_h2_boolean_status) h3_counter += 1 h2_counter += 1 else: - # h2 and h3 should have the same status as h1 - set_column_visibility(column=h2_counter, - table_ui=self.ui.h2_table, - visible=_h1_boolean_status) - set_column_visibility(column=h3_counter, - table_ui=self.ui.h3_table, - visible=_h1_boolean_status) + set_column_visibility(column=h2_counter, table_ui=self.ui.h2_table, visible=_h1_boolean_status) + set_column_visibility(column=h3_counter, table_ui=self.ui.h3_table, visible=_h1_boolean_status) h2_counter += 1 h3_counter += 1 @@ -972,54 +933,43 @@ def update_full_tree_status(self): # if all h3 of an h2 are disabled, h2 should be disabled # if all h2 of a h1 are disabled, h1 should be disabled for _key_h1 in td.keys(): - - if td[_key_h1]['children']: - + if td[_key_h1]["children"]: all_h2_disabled = True - for _key_h2 in td[_key_h1]['children'].keys(): - - if td[_key_h1]['children'][_key_h2]['children']: - + for _key_h2 in td[_key_h1]["children"].keys(): + if td[_key_h1]["children"][_key_h2]["children"]: all_h3_disabled = True - for _key_h3 in td[_key_h1]['children'][_key_h2]['children'].keys(): - - if td[_key_h1]['children'][_key_h2]['children'][_key_h3]['ui'].checkState(0): + for _key_h3 in td[_key_h1]["children"][_key_h2]["children"].keys(): + if td[_key_h1]["children"][_key_h2]["children"][_key_h3]["ui"].checkState(0): all_h3_disabled = False all_h2_disabled = False break if all_h3_disabled: # we need to make sure the h2 is disabled as well - td[_key_h1]['children'][_key_h2]['ui'].setCheckState(0, QtCore.Qt.Unchecked) + td[_key_h1]["children"][_key_h2]["ui"].setCheckState(0, QtCore.Qt.Unchecked) else: - - if td[_key_h1]['children'][_key_h2]['ui'].checkState(0): + if td[_key_h1]["children"][_key_h2]["ui"].checkState(0): all_h2_disabled = False if all_h2_disabled: # we need to make sure the h1 is disabled as well then - td[_key_h1]['ui'].setCheckState(0, QtCore.Qt.Unchecked) - + td[_key_h1]["ui"].setCheckState(0, QtCore.Qt.Unchecked) # record full tree state for _key_h1 in td.keys(): + td[_key_h1]["state"] = td[_key_h1]["ui"].checkState(0) - td[_key_h1]['state'] = td[_key_h1]['ui'].checkState(0) - - if td[_key_h1]['children']: - - for _key_h2 in td[_key_h1]['children'].keys(): - - td[_key_h1]['children'][_key_h2]['state'] = td[_key_h1]['children'][_key_h2]['ui'].checkState(0) - - if td[_key_h1]['children'][_key_h2]['children']: - - for _key_h3 in td[_key_h1]['children'][_key_h2]['children'].keys(): + if td[_key_h1]["children"]: + for _key_h2 in td[_key_h1]["children"].keys(): + td[_key_h1]["children"][_key_h2]["state"] = td[_key_h1]["children"][_key_h2]["ui"].checkState(0) - td[_key_h1]['children'][_key_h2]['children'][_key_h3]['state'] = \ - td[_key_h1]['children'][_key_h2]['children'][_key_h3]['ui'].checkState(0) + if td[_key_h1]["children"][_key_h2]["children"]: + for _key_h3 in td[_key_h1]["children"][_key_h2]["children"].keys(): + td[_key_h1]["children"][_key_h2]["children"][_key_h3]["state"] = td[_key_h1]["children"][ + _key_h2 + ]["children"][_key_h3]["ui"].checkState(0) self.tree_dict = td @@ -1039,25 +989,20 @@ def make_tree_of_column_references(self): h2 = [] h3 = [] - h2_index=0 - h3_index=0 + h2_index = 0 + h3_index = 0 td = self.tree_dict for h1_index, _key_h1 in enumerate(td.keys()): - h1.append(h1_index) - if td[_key_h1]['children']: - + if td[_key_h1]["children"]: _h2 = [] _h3_h2 = [] - for _key_h2 in td[_key_h1]['children']: - - if td[_key_h1]['children'][_key_h2]['children']: - + for _key_h2 in td[_key_h1]["children"]: + if td[_key_h1]["children"][_key_h2]["children"]: _h3_h3 = [] - for _key_h3 in td[_key_h1]['children'][_key_h2]['children']: - + for _key_h3 in td[_key_h1]["children"][_key_h2]["children"]: _h3_h3.append(h3_index) h3_index += 1 @@ -1075,17 +1020,18 @@ def make_tree_of_column_references(self): h2.append(_h2) else: - # h1 does not have any h2 children + # h1 does not have any h2 children h2.append([h2_index]) h3.append([[h3_index]]) h2_index += 1 h3_index += 1 - self.table_columns_links = {'h1': h1, - 'h2': h2, - 'h3': h3, - } + self.table_columns_links = { + "h1": h1, + "h2": h2, + "h3": h3, + } def get_h_columns_from_item_name(self, item_name=None): # h_columns_affected = {'h1': [], @@ -1109,100 +1055,97 @@ def get_h_columns_from_item_name(self, item_name=None): td = self.tree_dict for h1_global_counter, _key_h1 in enumerate(td.keys()): - if item_name == _key_h1: # get all h2 and h3 of this h1 - if td[_key_h1]['children']: - - for _key_h2 in td[_key_h1]['children']: - - if td[_key_h1]['children'][_key_h2]['children']: - - list_tree_ui.append(td[_key_h1]['children'][_key_h2]['ui']) - for _key_h3 in td[_key_h1]['children'][_key_h2]['children'].keys(): + if td[_key_h1]["children"]: + for _key_h2 in td[_key_h1]["children"]: + if td[_key_h1]["children"][_key_h2]["children"]: + list_tree_ui.append(td[_key_h1]["children"][_key_h2]["ui"]) + for _key_h3 in td[_key_h1]["children"][_key_h2]["children"].keys(): h3_columns.append(h3_global_counter) - list_tree_ui.append(td[_key_h1]['children'][_key_h2]['children'][_key_h3]['ui']) + list_tree_ui.append(td[_key_h1]["children"][_key_h2]["children"][_key_h3]["ui"]) h3_global_counter += 1 else: - h2_columns.append(h2_global_counter) - list_tree_ui.append(td[_key_h1]['children'][_key_h2]['ui']) + list_tree_ui.append(td[_key_h1]["children"][_key_h2]["ui"]) h3_columns.append(h3_global_counter) h2_global_counter += 1 h3_global_counter += 1 - return {'h1': [h1_global_counter], - 'h2': h2_columns, - 'h3': h3_columns, - 'list_tree_ui': list_tree_ui, - 'list_parent_ui': list_parent_ui} + return { + "h1": [h1_global_counter], + "h2": h2_columns, + "h3": h3_columns, + "list_tree_ui": list_tree_ui, + "list_parent_ui": list_parent_ui, + } else: - - list_tree_ui.append(td[_key_h1]['ui']) - return {'h1': [h1_global_counter], - 'h2': [h2_global_counter], - 'h3': [h3_global_counter], - 'list_tree_ui': list_tree_ui, - 'list_parent_ui': list_parent_ui} + list_tree_ui.append(td[_key_h1]["ui"]) + return { + "h1": [h1_global_counter], + "h2": [h2_global_counter], + "h3": [h3_global_counter], + "list_tree_ui": list_tree_ui, + "list_parent_ui": list_parent_ui, + } else: # start looking into the h2 layer if it has children - if td[_key_h1]['children']: - - for _key_h2 in td[_key_h1]['children'].keys(): - + if td[_key_h1]["children"]: + for _key_h2 in td[_key_h1]["children"].keys(): if item_name == _key_h2: # get all h3 for this h2 and we are done - if td[_key_h1]['children'][_key_h2]['children']: + if td[_key_h1]["children"][_key_h2]["children"]: # if key_h2 has children # list all h3 leaves for this h2 - for _key_h3 in td[_key_h1]['children'][_key_h2]['children'].keys(): + for _key_h3 in td[_key_h1]["children"][_key_h2]["children"].keys(): h3_columns.append(h3_global_counter) - list_tree_ui.append(td[_key_h1]['children'][_key_h2]['children'][_key_h3]['ui']) + list_tree_ui.append(td[_key_h1]["children"][_key_h2]["children"][_key_h3]["ui"]) h3_global_counter += 1 else: h3_columns = [h3_global_counter] - list_tree_ui.append(td[_key_h1]['children'][_key_h2]['ui']) - list_parent_ui.append(td[_key_h1]['ui']) - return {'h1': [], - 'h2': [h2_global_counter], - 'h3': h3_columns, - 'list_tree_ui': list_tree_ui, - 'list_parent_ui': list_parent_ui} + list_tree_ui.append(td[_key_h1]["children"][_key_h2]["ui"]) + list_parent_ui.append(td[_key_h1]["ui"]) + return { + "h1": [], + "h2": [h2_global_counter], + "h3": h3_columns, + "list_tree_ui": list_tree_ui, + "list_parent_ui": list_parent_ui, + } else: # we did not find the item name yet # start looking into all the h2 children (if any) - if td[_key_h1]['children'][_key_h2]['children']: - + if td[_key_h1]["children"][_key_h2]["children"]: # loop through all the h3 and look for item_name. If found # we are done - for _key_h3 in td[_key_h1]['children'][_key_h2]['children'].keys(): - + for _key_h3 in td[_key_h1]["children"][_key_h2]["children"].keys(): if item_name == _key_h3: # we found the item name at the h3 layer, # no leaf below, so we are done - list_parent_ui.append(td[_key_h1]['ui']) - list_parent_ui.append(td[_key_h1]['children'][_key_h2]['ui']) - return {'h1': [], - 'h2': [], - 'h3': [h3_global_counter], - 'list_tree_ui': list_tree_ui, - 'list_parent_ui': list_parent_ui} + list_parent_ui.append(td[_key_h1]["ui"]) + list_parent_ui.append(td[_key_h1]["children"][_key_h2]["ui"]) + return { + "h1": [], + "h2": [], + "h3": [h3_global_counter], + "list_tree_ui": list_tree_ui, + "list_parent_ui": list_parent_ui, + } else: - h3_global_counter += 1 h2_global_counter += 1 @@ -1219,81 +1162,69 @@ def get_h_columns_from_item_name(self, item_name=None): h2_global_counter += 1 h3_global_counter += 1 - return {'h1': h1_columns, - 'h2': h2_columns, - 'h3': h3_columns, - 'list_tree_ui': list_tree_ui, - 'list_parent_ui': list_parent_ui} + return { + "h1": h1_columns, + "h2": h2_columns, + "h3": h3_columns, + "list_tree_ui": list_tree_ui, + "list_parent_ui": list_parent_ui, + } def addItems(self, parent): td = self.tree_dict absolute_parent = parent - tree_ui = {'h1': [], - 'h2': [], - 'h3': []} + tree_ui = {"h1": [], "h2": [], "h3": []} h1_index = 0 h2_index = 0 h3_index = 0 def set_h_indexes(location, h1=None, h2=None, h3=None): - location['h_index']['h1'] = h1 - location['h_index']['h2'] = h2 - location['h_index']['h3'] = h3 + location["h_index"]["h1"] = h1 + location["h_index"]["h2"] = h2 + location["h_index"]["h3"] = h3 for _key_h1 in td.keys(): - # if there are children, we need to use addParent - if td[_key_h1]['children']: - - _h1_parent = self.addParent(absolute_parent, - td[_key_h1]['name'], - _key_h1) - td[_key_h1]['ui'] = _h1_parent - tree_ui['h1'].append(_h1_parent) - - for _key_h2 in td[_key_h1]['children'].keys(): + if td[_key_h1]["children"]: + _h1_parent = self.addParent(absolute_parent, td[_key_h1]["name"], _key_h1) + td[_key_h1]["ui"] = _h1_parent + tree_ui["h1"].append(_h1_parent) + for _key_h2 in td[_key_h1]["children"].keys(): # if there are children, we need to use addParent - if td[_key_h1]['children'][_key_h2]['children']: - - _h2_parent = self.addParent(_h1_parent, - td[_key_h1]['children'][_key_h2]['name'], - _key_h2) - td[_key_h1]['children'][_key_h2]['ui'] = _h2_parent - tree_ui['h2'].append(_h2_parent) - - for _key_h3 in td[_key_h1]['children'][_key_h2]['children']: - _h3_child = self.addChild(_h2_parent, - td[_key_h1]['children'][_key_h2]['children'][_key_h3]['name'], - _key_h3) - td[_key_h1]['children'][_key_h2]['children'][_key_h3]['ui'] = _h3_child - - set_h_indexes(td[_key_h1]['children'][_key_h2]['children'][_key_h3], h3=h3_index) - tree_ui['h3'].append(_h3_child) + if td[_key_h1]["children"][_key_h2]["children"]: + _h2_parent = self.addParent(_h1_parent, td[_key_h1]["children"][_key_h2]["name"], _key_h2) + td[_key_h1]["children"][_key_h2]["ui"] = _h2_parent + tree_ui["h2"].append(_h2_parent) + + for _key_h3 in td[_key_h1]["children"][_key_h2]["children"]: + _h3_child = self.addChild( + _h2_parent, td[_key_h1]["children"][_key_h2]["children"][_key_h3]["name"], _key_h3 + ) + td[_key_h1]["children"][_key_h2]["children"][_key_h3]["ui"] = _h3_child + + set_h_indexes(td[_key_h1]["children"][_key_h2]["children"][_key_h3], h3=h3_index) + tree_ui["h3"].append(_h3_child) h3_index += 1 - else: # key_h2 has no children, it's a leaf - _h3_child = self.addChild(_h1_parent, - td[_key_h1]['children'][_key_h2]['name'], - _key_h2) - td[_key_h1]['children'][_key_h2]['ui'] = _h3_child - tree_ui['h2'].append(_h3_child) - tree_ui['h3'].append(None) + else: # key_h2 has no children, it's a leaf + _h3_child = self.addChild(_h1_parent, td[_key_h1]["children"][_key_h2]["name"], _key_h2) + td[_key_h1]["children"][_key_h2]["ui"] = _h3_child + tree_ui["h2"].append(_h3_child) + tree_ui["h3"].append(None) h3_index += 1 - set_h_indexes(td[_key_h1]['children'][_key_h2], h2=h2_index) + set_h_indexes(td[_key_h1]["children"][_key_h2], h2=h2_index) h2_index += 1 - else: #_key_h1 has no children, using addChild - _child = self.addChild(absolute_parent, - td[_key_h1]['name'], - _key_h1) - td[_key_h1]['ui'] = _child - tree_ui['h1'].append(_child) - tree_ui['h2'].append(None) - tree_ui['h3'].append(None) + else: # _key_h1 has no children, using addChild + _child = self.addChild(absolute_parent, td[_key_h1]["name"], _key_h1) + td[_key_h1]["ui"] = _child + tree_ui["h1"].append(_child) + tree_ui["h2"].append(None) + tree_ui["h3"].append(None) h2_index += 1 set_h_indexes(td[_key_h1], h1=h1_index) @@ -1304,7 +1235,7 @@ def set_h_indexes(location, h1=None, h2=None, h3=None): def addParent(self, parent, title, name): item = QTreeWidgetItem(parent, [title]) - item.setData(self.tree_column, QtCore.Qt.UserRole, '') + item.setData(self.tree_column, QtCore.Qt.UserRole, "") item.setChildIndicatorPolicy(QTreeWidgetItem.ShowIndicator) item.setCheckState(self.tree_column, QtCore.Qt.Checked) item.setExpanded(True) @@ -1312,7 +1243,7 @@ def addParent(self, parent, title, name): def addChild(self, parent, title, name): item = QTreeWidgetItem(parent, [title]) - item.setData(self.tree_column, QtCore.Qt.UserRole, '') + item.setData(self.tree_column, QtCore.Qt.UserRole, "") item.setCheckState(self.tree_column, QtCore.Qt.Checked) return item @@ -1328,11 +1259,10 @@ def cancel_clicked(self): def closeEvent(self, eventhere=None): pass - #print("Leaving Parameters Selection UI") + # print("Leaving Parameters Selection UI") class SaveConfigInterface(QDialog): - # config_dict = {} def __init__(self, parent=None, grand_parent=None): @@ -1352,38 +1282,37 @@ def ok_clicked(self): name_config = self.get_defined_name_config() if name_config: self.parent.save_as_config_name_selected(name=name_config) - self.grand_parent.ui.statusbar.showMessage("New configuration saved ({})".format(name_config), 8000) + self.grand_parent.ui.statusbar.showMessage(f"New configuration saved ({name_config})", 8000) self.grand_parent.ui.statusbar.setStyleSheet("color: green") self.close() def cancel_clicked(self): self.close() + class ConfigHandler: - '''This class takes care of the config dictionary manipulations''' + """This class takes care of the config dictionary manipulations""" @staticmethod def activate_this_config(key="", config={}): for _key in config: if _key == key: - config[_key]['active'] = True + config[_key]["active"] = True break return config @staticmethod def deactivate_all_config(config={}): for _key in config: - config[_key]['active'] = False + config[_key]["active"] = False return config @staticmethod def lazy_export_config(config_dict={}): - with open(CONFIG_FILE, 'wb') as handle: + with open(CONFIG_FILE, "wb") as handle: full_config = {} - full_config['configurations'] = config_dict - pickle.dump(full_config, - handle, - protocol=pickle.HIGHEST_PROTOCOL) + full_config["configurations"] = config_dict + pickle.dump(full_config, handle, protocol=pickle.HIGHEST_PROTOCOL) @staticmethod def remove_this_config(key="", config={}): @@ -1395,8 +1324,8 @@ def remove_this_config(key="", config={}): new_config[_key] = config[_key] return new_config -class H3TableHandler: +class H3TableHandler: # object that takes care of handling the config object o_save_config = None config_dict = {} @@ -1406,36 +1335,35 @@ def __init__(self, parent=None): def retrieve_previous_configurations(self): if os.path.exists(CONFIG_FILE): - with open(CONFIG_FILE, 'rb') as handle: + with open(CONFIG_FILE, "rb") as handle: _cfg = pickle.load(handle) try: - config_dict = _cfg['configurations'] + config_dict = _cfg["configurations"] except KeyError: return self.parent.config_dict = config_dict def save_as_config(self): - o_save_config = SaveConfigInterface(parent=self, - grand_parent=self.parent) + o_save_config = SaveConfigInterface(parent=self, grand_parent=self.parent) o_save_config.show() self.o_save_config = o_save_config - def save_as_config_name_selected(self, name=''): + def save_as_config_name_selected(self, name=""): self.create_config_dict(name=name) self.export_config() - def create_config_dict(self, name=''): - if name == '': - name = 'undefined' + def create_config_dict(self, name=""): + if name == "": + name = "undefined" o_current_table_config = TableConfig(parent=self.parent) current_config = o_current_table_config.get_current_config() inside_dict = OrderedDict() - inside_dict['table'] = current_config - inside_dict['active'] = True + inside_dict["table"] = current_config + inside_dict["active"] = True # retrieve previous config file previous_config_dict = self.parent.config_dict @@ -1446,7 +1374,7 @@ def create_config_dict(self, name=''): else: self.deactivate_all_config() old_full_config = self.parent.config_dict - #list_keys = old_full_config.keys() + # list_keys = old_full_config.keys() old_full_config[name] = inside_dict new_full_config = old_full_config @@ -1455,17 +1383,15 @@ def create_config_dict(self, name=''): def deactivate_all_config(self): old_full_config = self.parent.config_dict for _key in old_full_config: - old_full_config[_key]['active'] = False + old_full_config[_key]["active"] = False self.parent.config_dict = old_full_config def export_config(self): config_dict = self.config_dict - with open(CONFIG_FILE, 'wb') as handle: + with open(CONFIG_FILE, "wb") as handle: full_config = {} - full_config['configurations'] = config_dict - pickle.dump(full_config, - handle, - protocol=pickle.HIGHEST_PROTOCOL) + full_config["configurations"] = config_dict + pickle.dump(full_config, handle, protocol=pickle.HIGHEST_PROTOCOL) def save_config(self): active_config_name = self.parent.active_config_name @@ -1473,12 +1399,12 @@ def save_config(self): def reset_table(self): config_dict = self.parent.config_dict - if not ("FULL_RESET" in config_dict): - config_dict['FULL_RESET'] = self.parent.reset_config_dict + if "FULL_RESET" not in config_dict: + config_dict["FULL_RESET"] = self.parent.reset_config_dict self.parent.config_dict = config_dict ConfigHandler.lazy_export_config(config_dict=self.parent.config_dict) - self.parent.load_this_config(key='FULL_RESET', resize=True) + self.parent.load_this_config(key="FULL_RESET", resize=True) def right_click(self): self.retrieve_previous_configurations() @@ -1506,20 +1432,19 @@ def right_click(self): if not list_configs == []: config.addSeparator() for _label in list_configs: - if _label == "FULL_RESET": continue this_one_is_active = False - if previous_config[_label]['active']: + if previous_config[_label]["active"]: self.parent.active_config_name = _label - _full_label = u"\u2713 " + _label + _full_label = "\u2713 " + _label save_state = True this_one_is_active = True else: - _full_label = u"\u200b \u200b " + _label + _full_label = "\u200b \u200b " + _label list_config_displayed.append(_label) temp = config.addMenu(_full_label) @@ -1554,22 +1479,19 @@ def right_click(self): return if not (list_signal_config_files == []): - # user clicked to select config for _index, _signal in enumerate(list_signal_config_files): if action == _signal: self.activate_this_config(config=list_config_displayed[_index]) if not (list_signal_remove_config == []): - # user clicked to remove config for _index, _signal in enumerate(list_signal_remove_config): if action == _signal: self.remove_this_config(config=list_config_displayed[_index]) def remove_this_config(self, config): - config_dict = ConfigHandler.remove_this_config(config=self.parent.config_dict, - key=config) + config_dict = ConfigHandler.remove_this_config(config=self.parent.config_dict, key=config) self.parent.config_dict = config_dict # import pprint # pprint.pprint(config_dict) @@ -1577,31 +1499,29 @@ def remove_this_config(self, config): def activate_this_config(self, config): config_dict = ConfigHandler.deactivate_all_config(config=self.parent.config_dict) - config_dict = ConfigHandler.activate_this_config(config=config_dict, - key=config) + config_dict = ConfigHandler.activate_this_config(config=config_dict, key=config) self.parent.config_dict = config_dict ConfigHandler.lazy_export_config(config_dict=config_dict) self.parent.load_this_config(key=config) class TableConfig: - '''This class will look at the h1, h2 and h3 table to create the config use width and visibility of each column''' + """This class will look at the h1, h2 and h3 table to create the config use width and visibility of each column""" def __init__(self, parent=None): self.parent = parent def get_current_config(self): current_config_dict = {} - current_config_dict['h1'] = self.__get_current_table_config(table='h1') - current_config_dict['h2'] = self.__get_current_table_config(table='h2') - current_config_dict['h3'] = self.__get_current_table_config(table='h3') + current_config_dict["h1"] = self.__get_current_table_config(table="h1") + current_config_dict["h2"] = self.__get_current_table_config(table="h2") + current_config_dict["h3"] = self.__get_current_table_config(table="h3") return current_config_dict - def __get_current_table_config(self, table='h1'): - - if table == 'h1': + def __get_current_table_config(self, table="h1"): + if table == "h1": table_ui = self.parent.ui.h1_table - elif table == 'h2': + elif table == "h2": table_ui = self.parent.ui.h2_table else: table_ui = self.parent.ui.h3_table @@ -1611,15 +1531,6 @@ def __get_current_table_config(self, table='h1'): for _col in np.arange(nbr_column): _width = table_ui.columnWidth(_col) _visible = not table_ui.isColumnHidden(_col) - _dict[_col] = {'width': _width, - 'visible': _visible} + _dict[_col] = {"width": _width, "visible": _visible} return _dict - - - - - - - - diff --git a/notebooks/__code/advanced_roi_selection_ui/advanced_roi_selection_ui.py b/notebooks/__code/advanced_roi_selection_ui/advanced_roi_selection_ui.py index bd992808..923be437 100755 --- a/notebooks/__code/advanced_roi_selection_ui/advanced_roi_selection_ui.py +++ b/notebooks/__code/advanced_roi_selection_ui/advanced_roi_selection_ui.py @@ -1,52 +1,58 @@ -from IPython.display import HTML -from IPython.display import display -import numpy as np +import os import random from collections import OrderedDict + +import numpy as np import pyqtgraph as pg -from qtpy.QtWidgets import QMainWindow, QProgressBar, QVBoxLayout, QTableWidgetSelectionRange, QTableWidgetItem +from IPython.display import HTML, display +from NeuNorm.normalization import Normalization from qtpy import QtGui -from __code import load_ui -import os +from qtpy.QtWidgets import QMainWindow, QProgressBar, QTableWidgetItem, QTableWidgetSelectionRange, QVBoxLayout -from NeuNorm.normalization import Normalization -from __code.ui_roi_selection import Ui_MainWindow as UiMainWindow -from __code.config import percentage_of_images_to_use_for_roi_selection, \ - minimum_number_of_images_to_use_for_roi_selection +from __code import load_ui +from __code.config import ( + minimum_number_of_images_to_use_for_roi_selection, + percentage_of_images_to_use_for_roi_selection, +) class Interface(QMainWindow): - roi_width = 0.01 - roi_selected = {} #nice formatting of list_roi for outside access + roi_selected = {} # nice formatting of list_roi for outside access list_of_files = None live_data = [] o_norm = None roi_column_width = 70 integrated_image = None - integrated_image_size = {'width': -1, 'height': -1} + integrated_image_size = {"width": -1, "height": -1} array2d = None - list_roi = {} # 'row": {'x0':None, 'y0': None, 'x1': None, 'y1': None} - default_roi = {'x0': 0, 'y0': 0, 'x1': 50, 'y1': 50, 'id': None} - - def __init__(self, parent=None, - o_norm=None, - array2d=None, - list_of_files=None, - percentage_of_data_to_use=None, - callback=None, - display_info_message=True, - mandatory_regions=False, - list_roi=None): # if provided, should have the format {0: {'x0':None, 'y0': None, 'x1': None, 'y1': None}} - + list_roi = {} # 'row": {'x0':None, 'y0': None, 'x1': None, 'y1': None} + default_roi = {"x0": 0, "y0": 0, "x1": 50, "y1": 50, "id": None} + + def __init__( + self, + parent=None, + o_norm=None, + array2d=None, + list_of_files=None, + percentage_of_data_to_use=None, + callback=None, + display_info_message=True, + mandatory_regions=False, + list_roi=None, + ): # if provided, should have the format {0: {'x0':None, 'y0': None, 'x1': None, 'y1': None}} if display_info_message: - display(HTML('Check UI that popped up \ - (maybe hidden behind this browser!)')) - - if not (array2d is None): + display( + HTML( + 'Check UI that popped up \ + (maybe hidden behind this browser!)' + ) + ) + + if array2d is not None: # we are giving the 2d array directly self.array2d = array2d @@ -65,18 +71,21 @@ def __init__(self, parent=None, self.mandatory_regions = mandatory_regions if list_roi: for key in list_roi.keys(): - self.list_roi[key] = {'x0': list_roi[key]['x0'], - 'y0': list_roi[key]['y0'], - 'x1': list_roi[key]['x1'], - 'y1': list_roi[key]['y1'], - 'id': None} + self.list_roi[key] = { + "x0": list_roi[key]["x0"], + "y0": list_roi[key]["y0"], + "x1": list_roi[key]["x1"], + "y1": list_roi[key]["y1"], + "id": None, + } # method called when leaving the application, if any self.callback = callback super(QMainWindow, self).__init__(parent) - ui_full_path = os.path.join(os.path.dirname(os.path.dirname(os.path.dirname(__file__))), - os.path.join('ui', 'ui_roi_selection.ui')) + ui_full_path = os.path.join( + os.path.dirname(os.path.dirname(os.path.dirname(__file__))), os.path.join("ui", "ui_roi_selection.ui") + ) self.ui = load_ui(ui_full_path, baseinstance=self) self.init_statusbar() @@ -118,40 +127,50 @@ def __get_recap(self, data_array): [height, width] = np.shape(data_array[0]) nbr_sample = len(data_array) else: - nbr_sample = '0' - [height, width] = ['N/A', 'N/A'] + nbr_sample = "0" + [height, width] = ["N/A", "N/A"] return [nbr_sample, height, width] def __built_html_table_row_3_columns(self, name, nbr, height, width): - _html = '' + str(name) + '' + str(nbr) + '' + str(height) + \ - '*' + str(width) + '' + _html = ( + "" + + str(name) + + "" + + str(nbr) + + "" + + str(height) + + "*" + + str(width) + + "" + ) return _html def recap(self): """Display nbr of files loaded and size. This can be used to figure why a normalization failed""" - [nbr_sample, height_sample, width_sample] = self.__get_recap(self.o_norm.data['sample']['data']) - [nbr_ob, height_ob, width_ob] = self.__get_recap(self.o_norm.data['ob']['data']) - [nbr_df, height_df, width_df] = self.__get_recap(self.o_norm.data['df']['data']) - - html = '' - html += self.__built_html_table_row_3_columns('sample', nbr_sample, height_sample, width_sample) - html += self.__built_html_table_row_3_columns('ob', nbr_ob, height_ob, width_ob) - html += self.__built_html_table_row_3_columns('df', nbr_df, height_df, width_df) - html += '
TypeNumber' + \ - 'Size (height*width)
' + [nbr_sample, height_sample, width_sample] = self.__get_recap(self.o_norm.data["sample"]["data"]) + [nbr_ob, height_ob, width_ob] = self.__get_recap(self.o_norm.data["ob"]["data"]) + [nbr_df, height_df, width_df] = self.__get_recap(self.o_norm.data["df"]["data"]) + + html = ( + '" + ) + html += self.__built_html_table_row_3_columns("sample", nbr_sample, height_sample, width_sample) + html += self.__built_html_table_row_3_columns("ob", nbr_ob, height_ob, width_ob) + html += self.__built_html_table_row_3_columns("df", nbr_df, height_df, width_df) + html += "
TypeNumber' + + "Size (height*width)
" display(HTML(html)) def integrate_images(self): - - if not(self.array2d is None): + if self.array2d is not None: self.integrated_image = self.array2d else: percentage_of_data_to_use = self.percentage_of_data_to_use if self.o_norm: - nbr_files = len(self.o_norm.data['sample']['data']) + nbr_files = len(self.o_norm.data["sample"]["data"]) else: nbr_files = len(self.list_of_files) @@ -164,23 +183,23 @@ def integrate_images(self): random_list = random.sample(range(0, nbr_files), nbr_files_to_use) if self.o_norm: - list_data_to_use = [self.o_norm.data['sample']['data'][_index] for _index in random_list] + list_data_to_use = [self.o_norm.data["sample"]["data"][_index] for _index in random_list] else: o_norm = Normalization() list_of_files = np.array(self.list_of_files) list_of_files = list(list_of_files[random_list]) o_norm.load(file=list_of_files, notebook=True) - list_data_to_use = o_norm.data['sample']['data'] + list_data_to_use = o_norm.data["sample"]["data"] self.integrated_image = np.mean(list_data_to_use, axis=0) [_height, _width] = np.shape(self.integrated_image) - self.integrated_image_size['height'] = _height - self.integrated_image_size['width'] = _width + self.integrated_image_size["height"] = _height + self.integrated_image_size["width"] = _width def _clean_image(self, image): _result_inf = np.where(np.isinf(image)) - image[_result_inf] = np.NaN + image[_result_inf] = np.nan return image def display_image(self): @@ -189,11 +208,11 @@ def display_image(self): self.ui.image_view.setImage(_image) def remove_row_entry(self, row): - _roi_id = self.list_roi[row]['id'] + _roi_id = self.list_roi[row]["id"] self.ui.image_view.removeItem(_roi_id) del self.list_roi[row] - #rename row + # rename row new_list_roi = {} new_row_index = 0 for _previous_row_index in self.list_roi.keys(): @@ -202,7 +221,6 @@ def remove_row_entry(self, row): self.list_roi = new_list_roi def remove_roi_button_clicked(self): - self.ui.table_roi.blockSignals(True) _selection = self.ui.table_roi.selectedRanges() @@ -222,7 +240,7 @@ def remove_roi_button_clicked(self): if new_nbr_row == 0: return - if row == (old_nbr_row-1): + if row == (old_nbr_row - 1): row = new_nbr_row - 1 _new_selection = QTableWidgetSelectionRange(row, 0, row, 3) @@ -247,26 +265,26 @@ def update_table_roi_ui(self): self.ui.table_roi.insertRow(_index_row) - self._set_item_value(_index_row, 0, _roi['x0']) + self._set_item_value(_index_row, 0, _roi["x0"]) # _item = QtGui.QTableWidgetItem(str(_roi['x0'])) # self.ui.table_roi.setItem(_index_row, 0, _item) - self._set_item_value(_index_row, 1, _roi['y0']) + self._set_item_value(_index_row, 1, _roi["y0"]) # _item = QtGui.QTableWidgetItem(str(_roi['y0'])) # self.ui.table_roi.setItem(_index_row, 1, _item) - self._set_item_value(_index_row, 2, _roi['x1']) + self._set_item_value(_index_row, 2, _roi["x1"]) # _item = QtGui.QTableWidgetItem(str(_roi['x1'])) # self.ui.table_roi.setItem(_index_row, 2, _item) - self._set_item_value(_index_row, 3, _roi['y1']) + self._set_item_value(_index_row, 3, _roi["y1"]) # _item = QtGui.QTableWidgetItem(str(_roi['y1'])) # self.ui.table_roi.setItem(_index_row, 3, _item) _index_row += 1 self.ui.table_roi.blockSignals(False) - #self.ui.table_roi.itemChanged['QTableWidgetItem*'].connect(self.update_table_roi) + # self.ui.table_roi.itemChanged['QTableWidgetItem*'].connect(self.update_table_roi) def _set_item_value(self, row=0, column=0, value=-1): _item = QTableWidgetItem(str(value)) @@ -279,9 +297,9 @@ def check_roi_validity(self, value, x_axis=True): value = int(value) if x_axis: - max_value = self.integrated_image_size['width'] + max_value = self.integrated_image_size["width"] else: - max_value = self.integrated_image_size['height'] + max_value = self.integrated_image_size["height"] if value < 0: return min_value @@ -314,11 +332,11 @@ def update_table_roi(self, item): self._set_item_value(_row, 2, _x1) self._set_item_value(_row, 3, _y1) - _roi['x0'] = _x0 - _roi['y0'] = _y0 - _roi['x1'] = _x1 - _roi['y1'] = _y1 - _roi['id'] = old_list_roi[_row]['id'] + _roi["x0"] = _x0 + _roi["y0"] = _y0 + _roi["x1"] = _x1 + _roi["y1"] = _y1 + _roi["id"] = old_list_roi[_row]["id"] new_list_roi[_row] = _roi @@ -333,17 +351,16 @@ def update_image_view_item(self): for _row in list_roi.keys(): _roi = list_roi[_row] - _x0 = int(_roi['x0']) - _y0 = int(_roi['y0']) - _x1 = int(_roi['x1']) - _y1 = int(_roi['y1']) + _x0 = int(_roi["x0"]) + _y0 = int(_roi["y0"]) + _x1 = int(_roi["x1"]) + _y1 = int(_roi["y1"]) _width = np.abs(_x1 - _x0) _height = np.abs(_y1 - _y0) - _roi_id = self.init_roi(x0=_x0, y0=_y0, - width=_width, height=_height) - _roi['id'] = _roi_id + _roi_id = self.init_roi(x0=_x0, y0=_y0, width=_width, height=_height) + _roi["id"] = _roi_id list_roi[_row] = _roi @@ -354,16 +371,15 @@ def _get_item_value(self, row, column): if _item: return str(_item.text()) else: - return '' + return "" def roi_manually_moved(self): list_roi = self.list_roi for _row in list_roi.keys(): - _roi = list_roi[_row] - roi_id = _roi['id'] + roi_id = _roi["id"] region = roi_id.getArraySlice(self.integrated_image, self.ui.image_view.imageItem) x0 = region[0][0].start @@ -371,10 +387,10 @@ def roi_manually_moved(self): y0 = region[0][1].start y1 = region[0][1].stop - _roi['x0'] = x0 - _roi['x1'] = x1 - _roi['y0'] = y0 - _roi['y1'] = y1 + _roi["x0"] = x0 + _roi["x1"] = x1 + _roi["y0"] = y0 + _roi["y1"] = y1 list_roi[_row] = _roi @@ -386,7 +402,7 @@ def clear_roi_on_image_view(self): for _row in list_roi.keys(): _roi = list_roi[_row] - roi_id = _roi['id'] + roi_id = _roi["id"] self.ui.image_view.removeItem(roi_id) def add_rois(self, list_roi=None): @@ -400,31 +416,29 @@ def add_rois(self, list_roi=None): row = 0 for key in list_roi.keys(): - # init new row with default value self.ui.table_roi.insertRow(row) _roi = list_roi[key] - _item = QTableWidgetItem(str(_roi['x0'])) + _item = QTableWidgetItem(str(_roi["x0"])) self.ui.table_roi.setItem(row, 0, _item) - _item = QTableWidgetItem(str(_roi['y0'])) + _item = QTableWidgetItem(str(_roi["y0"])) self.ui.table_roi.setItem(row, 1, _item) - _item = QTableWidgetItem(str(_roi['x1'])) + _item = QTableWidgetItem(str(_roi["x1"])) self.ui.table_roi.setItem(row, 2, _item) - _item = QTableWidgetItem(str(_roi['y1'])) + _item = QTableWidgetItem(str(_roi["y1"])) self.ui.table_roi.setItem(row, 3, _item) - x0_int = int(_roi['x0']) - y0_int = int(_roi['y0']) - width_int = np.abs(x0_int - int(_roi['x1'])) - height_int = np.abs(y0_int - int(_roi['y1'])) + x0_int = int(_roi["x0"]) + y0_int = int(_roi["y0"]) + width_int = np.abs(x0_int - int(_roi["x1"])) + height_int = np.abs(y0_int - int(_roi["y1"])) - _roi_id = self.init_roi(x0=x0_int, y0=y0_int, - width=width_int, height=height_int) - list_roi[key]['id'] = _roi_id + _roi_id = self.init_roi(x0=x0_int, y0=y0_int, width=width_int, height=height_int) + list_roi[key]["id"] = _roi_id self.list_roi = list_roi self.ui.table_roi.blockSignals(False) @@ -444,16 +458,16 @@ def add_roi_button_clicked(self): self.ui.table_roi.insertRow(row) _default_roi = self.default_roi - _item = QTableWidgetItem(str(_default_roi['x0'])) + _item = QTableWidgetItem(str(_default_roi["x0"])) self.ui.table_roi.setItem(row, 0, _item) - _item = QTableWidgetItem(str(_default_roi['y0'])) + _item = QTableWidgetItem(str(_default_roi["y0"])) self.ui.table_roi.setItem(row, 1, _item) - _item = QTableWidgetItem(str(_default_roi['x1'])) + _item = QTableWidgetItem(str(_default_roi["x1"])) self.ui.table_roi.setItem(row, 2, _item) - _item = QTableWidgetItem(str(_default_roi['y1'])) + _item = QTableWidgetItem(str(_default_roi["y1"])) self.ui.table_roi.setItem(row, 3, _item) # save new list_roi dictionary @@ -463,25 +477,24 @@ def add_roi_button_clicked(self): _roi = {} _x0 = self._get_item_value(_row, 0) - _roi['x0'] = int(_x0) + _roi["x0"] = int(_x0) _y0 = self._get_item_value(_row, 1) - _roi['y0'] = int(_y0) + _roi["y0"] = int(_y0) _x1 = self._get_item_value(_row, 2) - _roi['x1'] = int(_x1) + _roi["x1"] = int(_x1) _y1 = self._get_item_value(_row, 3) - _roi['y1'] = int(_y1) + _roi["y1"] = int(_y1) x0_int = int(_x0) y0_int = int(_y0) width_int = np.abs(x0_int - int(_x1)) height_int = np.abs(y0_int - int(_y1)) - _roi_id = self.init_roi(x0=x0_int, y0=y0_int, - width=width_int, height=height_int) - _roi['id'] = _roi_id + _roi_id = self.init_roi(x0=x0_int, y0=y0_int, width=width_int, height=height_int) + _roi["id"] = _roi_id list_roi[_row] = _roi self.list_roi = list_roi @@ -529,17 +542,17 @@ def format_roi(self): roi_selected = {} for _key in self.list_roi.keys(): _roi = self.list_roi[_key] - x0 = _roi['x0'] - y0 = _roi['y0'] - x1 = _roi['x1'] - y1 = _roi['y1'] - new_entry = {'x0': x0, 'y0': y0, 'x1': x1, 'y1': y1} + x0 = _roi["x0"] + y0 = _roi["y0"] + x1 = _roi["x1"] + y1 = _roi["y1"] + new_entry = {"x0": x0, "y0": y0, "x1": x1, "y1": y1} roi_selected[_key] = new_entry self.roi_selected = roi_selected def apply_clicked(self): - self.update_table_roi(None) #check ROI before leaving application + self.update_table_roi(None) # check ROI before leaving application self.format_roi() self.close() if self.callback: diff --git a/notebooks/__code/bin/bin_images.py b/notebooks/__code/bin/bin_images.py index abf1317b..ebe717c4 100755 --- a/notebooks/__code/bin/bin_images.py +++ b/notebooks/__code/bin/bin_images.py @@ -1,130 +1,134 @@ -import numpy as np import os -from IPython.display import HTML -from ipywidgets import widgets -from IPython.display import display +import numpy as np +from IPython.display import HTML, display +from ipywidgets import widgets from NeuNorm.normalization import Normalization +from __code import file_handler, utilities from __code.ipywe import fileselector from __code.ipywe.myfileselector import FileSelectorPanelWithJumpFolders -from __code import utilities, file_handler class BinHandler: - - working_dir = '' + working_dir = "" images_ui = None data = [] list_file_names = [] - image_dimension = {'height': np.NaN, - 'width': np.NaN} + image_dimension = {"height": np.nan, "width": np.nan} - def __init__(self, working_dir=''): + def __init__(self, working_dir=""): self.working_dir = working_dir self.output_folder_ui = None def select_images(self): - _instruction = 'Select images to bin' - self.images_ui = fileselector.FileSelectorPanel(instruction=_instruction, - start_dir=self.working_dir, - multiple=True, - next=self.load) + _instruction = "Select images to bin" + self.images_ui = fileselector.FileSelectorPanel( + instruction=_instruction, start_dir=self.working_dir, multiple=True, next=self.load + ) self.images_ui.show() def get_list_images(self): return self.images_ui.selected def load(self, list_images): - #list_images = self.get_list_images() + # list_images = self.get_list_images() self.list_file_names = list_images self.o_norm = Normalization() self.o_norm.load(file=list_images, notebook=True) - self.data = self.o_norm.data['sample']['data'] + self.data = self.o_norm.data["sample"]["data"] self.__calculate_image_dimension() def __calculate_image_dimension(self): _image_0 = self.data[0] - [self.image_dimension['height'], self.image_dimension['width']] = np.shape(_image_0) + [self.image_dimension["height"], self.image_dimension["width"]] = np.shape(_image_0) def __bin_parameter_changed(self, sender): - new_width_bin = int(self.bin_width_para.value) self.bin_width_value = new_width_bin new_height_bin = int(self.bin_height_para.value) self.bin_height_value = new_height_bin - old_width = self.image_dimension['width'] - old_height = self.image_dimension['height'] + old_width = self.image_dimension["width"] + old_height = self.image_dimension["height"] new_width = int(old_width / new_width_bin) new_height = int(old_height / new_height_bin) - self.right_widgets.children[1].value = "Width: {} pixels".format(new_width) - self.right_widgets.children[2].value = "Height: {} pixels".format(new_height) + self.right_widgets.children[1].value = f"Width: {new_width} pixels" + self.right_widgets.children[2].value = f"Height: {new_height} pixels" def select_bin_parameter(self): - _width = self.image_dimension['width'] - _height = self.image_dimension['height'] - left_widgets = widgets.VBox([widgets.HTML(value="Current Image Size:", - layout=widgets.Layout(width='250px')), - widgets.Label("Width: {} pixels".format(_width), - layout=widgets.Layout(width='100%')), - widgets.Label("Height: {} pixels".format(_height), - layout=widgets.Layout(width='100%'))]) + _width = self.image_dimension["width"] + _height = self.image_dimension["height"] + left_widgets = widgets.VBox( + [ + widgets.HTML(value="Current Image Size:", layout=widgets.Layout(width="250px")), + widgets.Label(f"Width: {_width} pixels", layout=widgets.Layout(width="100%")), + widgets.Label(f"Height: {_height} pixels", layout=widgets.Layout(width="100%")), + ] + ) options_list = [str(_) for _ in np.arange(2, 21)] - self.bin_width_para = widgets.Dropdown(options=options_list, - value='2', - description="width:", - continuous_update=False, - layout=widgets.Layout(width='80%')) + self.bin_width_para = widgets.Dropdown( + options=options_list, + value="2", + description="width:", + continuous_update=False, + layout=widgets.Layout(width="80%"), + ) self.bin_width_para.observe(self.__bin_parameter_changed) - self.bin_height_para = widgets.Dropdown(options=options_list, - value='2', - description="height:", - continuous_update=False, - layout=widgets.Layout(width='80%')) + self.bin_height_para = widgets.Dropdown( + options=options_list, + value="2", + description="height:", + continuous_update=False, + layout=widgets.Layout(width="80%"), + ) self.bin_height_para.observe(self.__bin_parameter_changed) - center_widgets = widgets.VBox([widgets.HTML("Bin Parameter:", - layout=widgets.Layout(width='250px')), - self.bin_width_para, - self.bin_height_para]) - - self.right_widgets = widgets.VBox([widgets.HTML("New Image Size:", - layout=widgets.Layout(width='250px')), - widgets.Label("Width: {} pixels".format(250), - layout=widgets.Layout(width='100%')), - widgets.Label("Height: {} pixels".format(250), - layout=widgets.Layout(width='100%'))]) + center_widgets = widgets.VBox( + [ + widgets.HTML("Bin Parameter:", layout=widgets.Layout(width="250px")), + self.bin_width_para, + self.bin_height_para, + ] + ) + + self.right_widgets = widgets.VBox( + [ + widgets.HTML("New Image Size:", layout=widgets.Layout(width="250px")), + widgets.Label(f"Width: {250} pixels", layout=widgets.Layout(width="100%")), + widgets.Label(f"Height: {250} pixels", layout=widgets.Layout(width="100%")), + ] + ) self.__bin_parameter_changed(None) - full_widget = widgets.HBox([left_widgets, - center_widgets, - self.right_widgets]) + full_widget = widgets.HBox([left_widgets, center_widgets, self.right_widgets]) display(full_widget) def select_export_folder(self): - self.output_folder_ui = FileSelectorPanelWithJumpFolders(instruction='Select output folder...', - start_dir=self.working_dir, - multiple=False, - next=self.export, - type='directory', - show_jump_to_home=True, - show_jump_to_share=True) + self.output_folder_ui = FileSelectorPanelWithJumpFolders( + instruction="Select output folder...", + start_dir=self.working_dir, + multiple=False, + next=self.export, + type="directory", + show_jump_to_home=True, + show_jump_to_share=True, + ) # self.output_folder_ui.show() def rebin_data(self, data=[]): width_bin = self.bin_width_value height_bin = self.bin_height_value - height = self.image_dimension['height'] - width = self.image_dimension['width'] + height = self.image_dimension["height"] + width = self.image_dimension["width"] # checking if last bin size match other bins new_height = height @@ -139,7 +143,7 @@ def rebin_data(self, data=[]): new_width = int(_nbr_width_bin * width_bin) new_width = int(new_width) - _new_data = data[0: new_height, 0: new_width] + _new_data = data[0:new_height, 0:new_width] _new_data = _new_data.reshape(_nbr_height_bin, height_bin, _nbr_width_bin, width_bin) data_rebinned = _new_data.mean(axis=3).mean(axis=1) @@ -152,12 +156,11 @@ def get_input_folder(self): return os.path.basename(full_dir_name) def export(self, output_folder): - input_folder = self.get_input_folder() # output_folder = os.path.abspath(os.path.join(self.output_folder_ui.selected, # "{}_rebin_by_{}".format(input_folder, self.bin_value))) bin_string = f"{self.bin_height_value}height_{self.bin_width_value}width" - output_folder = os.path.abspath(os.path.join(output_folder, "{}_rebin_by_{}".format(input_folder, bin_string))) + output_folder = os.path.abspath(os.path.join(output_folder, f"{input_folder}_rebin_by_{bin_string}")) utilities.make_dir(dir=output_folder, overwrite=False) w = widgets.IntProgress() @@ -167,11 +170,10 @@ def export(self, output_folder): for _index, _file in enumerate(self.list_file_names): basename = os.path.basename(_file) _base, _ext = os.path.splitext(basename) - output_file_name = os.path.join(output_folder, _base + '.tiff') + output_file_name = os.path.join(output_folder, _base + ".tiff") _rebin_data = self.rebin_data(self.data[_index]) file_handler.make_tiff(filename=output_file_name, data=_rebin_data) w.value = _index + 1 - display(HTML('File created in ' + \ - output_folder + '')) + display(HTML('File created in ' + output_folder + "")) diff --git a/notebooks/__code/bragg_edge/bragg_edge.py b/notebooks/__code/bragg_edge/bragg_edge.py index f666a723..1b4a49e6 100755 --- a/notebooks/__code/bragg_edge/bragg_edge.py +++ b/notebooks/__code/bragg_edge/bragg_edge.py @@ -1,56 +1,53 @@ -import random -import os import glob -from IPython.display import HTML -from IPython.display import display -import numpy as np +import os +import random from collections import OrderedDict -from plotly.offline import iplot + +import numpy as np import plotly.graph_objs as go -from ipywidgets import widgets import pyqtgraph as pg - -from qtpy.QtWidgets import QMainWindow -from qtpy import QtGui, QtCore -from qtpy.QtWidgets import QProgressBar, QVBoxLayout, QTableWidgetSelectionRange, QTableWidgetItem - -from __code import load_ui - -from neutronbraggedge.experiment_handler import * +from IPython.display import HTML, display +from ipywidgets import widgets +from NeuNorm.normalization import Normalization from neutronbraggedge.braggedge import BraggEdge as BraggEdgeLibrary +from neutronbraggedge.experiment_handler import * from neutronbraggedge.material_handler.retrieve_material_metadata import RetrieveMaterialMetadata -from NeuNorm.normalization import Normalization +from plotly.offline import iplot +from qtpy import QtGui +from qtpy.QtWidgets import QMainWindow, QProgressBar, QTableWidgetItem, QTableWidgetSelectionRange, QVBoxLayout +from __code import file_handler, load_ui from __code.ipywe import fileselector -from __code import file_handler -from __code.ui_roi_selection import Ui_MainWindow as UiMainWindow class BraggEdge: - - list_of_elements = ['Fe'] + list_of_elements = ["Fe"] data = [] spectra_file = None - label_width = '15%' + label_width = "15%" - def __init__(self, working_dir='./'): + def __init__(self, working_dir="./"): self.working_dir = working_dir self.ipts_folder = working_dir def full_list_elements(self): - retrieve_material = RetrieveMaterialMetadata(material='all') + retrieve_material = RetrieveMaterialMetadata(material="all") self.list_returned = retrieve_material.full_list_material() - box4 = widgets.HBox([widgets.Label("List of elements", - layout=widgets.Layout(width=self.label_width)), - widgets.Select(options=self.list_returned, - layout=widgets.Layout(width='20%'))]) + box4 = widgets.HBox( + [ + widgets.Label("List of elements", layout=widgets.Layout(width=self.label_width)), + widgets.Select(options=self.list_returned, layout=widgets.Layout(width="20%")), + ] + ) - box5 = widgets.HBox([widgets.Label("Nbr Bragg Edges", - layout=widgets.Layout(width=self.label_width)), - widgets.IntText(8, - layout=widgets.Layout(width='20%'))]) + box5 = widgets.HBox( + [ + widgets.Label("Nbr Bragg Edges", layout=widgets.Layout(width=self.label_width)), + widgets.IntText(8, layout=widgets.Layout(width="20%")), + ] + ) vertical_box = widgets.VBox([box4, box5]) display(vertical_box) @@ -59,21 +56,25 @@ def full_list_elements(self): self.nbr_bragg_edges_ui = box5.children[1] def list_elements(self): - retrieve_material = RetrieveMaterialMetadata(material='all') + retrieve_material = RetrieveMaterialMetadata(material="all") self.list_returned = retrieve_material.full_list_material() # import pprint # pprint.pprint(list_returned) - box4 = widgets.HBox([widgets.Label("List of elements", - layout=widgets.Layout(width=self.label_width)), - widgets.Text(','.join(self.list_of_elements), - layout=widgets.Layout(width='20%'))]) + box4 = widgets.HBox( + [ + widgets.Label("List of elements", layout=widgets.Layout(width=self.label_width)), + widgets.Text(",".join(self.list_of_elements), layout=widgets.Layout(width="20%")), + ] + ) - box5 = widgets.HBox([widgets.Label("Nbr Bragg Edges", - layout=widgets.Layout(width=self.label_width)), - widgets.Text(str(8), - layout=widgets.Layout(width='20%'))]) + box5 = widgets.HBox( + [ + widgets.Label("Nbr Bragg Edges", layout=widgets.Layout(width=self.label_width)), + widgets.Text(str(8), layout=widgets.Layout(width="20%")), + ] + ) vertical_box = widgets.VBox([box4, box5]) display(vertical_box) @@ -82,16 +83,19 @@ def list_elements(self): self.nbr_bragg_edges_ui = box5.children[1] def exp_setup(self): + box2 = widgets.HBox( + [ + widgets.Label("dSD (m)", layout=widgets.Layout(width=self.label_width)), + widgets.Text(str(16.08), layout=widgets.Layout(width="20%")), + ] + ) - box2 = widgets.HBox([widgets.Label("dSD (m)", - layout=widgets.Layout(width=self.label_width)), - widgets.Text(str(16.08), - layout=widgets.Layout(width='20%'))]) - - box3 = widgets.HBox([widgets.Label("detector offset (microS)", - layout=widgets.Layout(width=self.label_width)), - widgets.Text(str(3700), - layout=widgets.Layout(width='20%'))]) + box3 = widgets.HBox( + [ + widgets.Label("detector offset (microS)", layout=widgets.Layout(width=self.label_width)), + widgets.Text(str(3700), layout=widgets.Layout(width="20%")), + ] + ) vertical_box = widgets.VBox([box2, box3]) display(vertical_box) @@ -100,14 +104,12 @@ def exp_setup(self): self.detector_offset_ui = box3.children[1] def list_powder_bragg_edges(self): - list_of_elements_selected = self.list_elements_ui.value - list_of_elements = list_of_elements_selected.split(',') + list_of_elements = list_of_elements_selected.split(",") list_of_elements = [_element.strip() for _element in list_of_elements] number_of_bragg_edges = int(self.nbr_bragg_edges_ui.value) - _handler = BraggEdgeLibrary(material=list_of_elements, - number_of_bragg_edges=number_of_bragg_edges) + _handler = BraggEdgeLibrary(material=list_of_elements, number_of_bragg_edges=number_of_bragg_edges) self.bragg_edges = _handler.bragg_edges self.hkl = _handler.hkl self.handler = _handler @@ -115,22 +117,24 @@ def list_powder_bragg_edges(self): print(_handler) def select_working_folder(self): - select_data = fileselector.FileSelectorPanel(instruction='Select Data Folder ...', - start_dir=self.working_dir, - next=self.load_data, - type='directory', - multiple=False) + select_data = fileselector.FileSelectorPanel( + instruction="Select Data Folder ...", + start_dir=self.working_dir, + next=self.load_data, + type="directory", + multiple=False, + ) select_data.show() def load_data(self, folder_selected): - list_files = glob.glob(os.path.join(folder_selected, '*.fits')) + list_files = glob.glob(os.path.join(folder_selected, "*.fits")) if list_files == []: - list_files = glob.glob(os.path.join(folder_selected, '*.tif*')) + list_files = glob.glob(os.path.join(folder_selected, "*.tif*")) - else: #fits + else: # fits # keep only files of interest - list_files = [file for file in list_files if not "_SummedImg.fits" in file] + list_files = [file for file in list_files if "_SummedImg.fits" not in file] list_files = [file for file in list_files if ".fits" in file] # sort list of files @@ -139,65 +143,76 @@ def load_data(self, folder_selected): o_norm = Normalization() o_norm.load(file=list_files, notebook=True) - self.data = o_norm.data['sample']['data'] - self.list_files = o_norm.data['sample']['file_name'] + self.data = o_norm.data["sample"]["data"] + self.list_files = o_norm.data["sample"]["file_name"] - display(HTML('' + str(len(list_files)) + \ - ' files have been loaded')) + display( + HTML('' + str(len(list_files)) + " files have been loaded") + ) # define time spectra file folder = os.path.dirname(self.list_files[0]) - spectra_file = glob.glob(os.path.join(folder, '*_Spectra.txt')) + spectra_file = glob.glob(os.path.join(folder, "*_Spectra.txt")) if spectra_file: self.spectra_file = spectra_file[0] - display(HTML(' Spectra File automatically located: ' + \ - self.spectra_file + '')) + display( + HTML( + ' Spectra File automatically located: ' + + self.spectra_file + + "" + ) + ) else: - #ask for spectra file + # ask for spectra file self.select_time_spectra_file() def load_time_spectra(self): _tof_handler = TOF(filename=self.spectra_file) - _exp = Experiment(tof=_tof_handler.tof_array, - distance_source_detector_m=float(self.dSD_ui.value), - detector_offset_micros=float(self.detector_offset_ui.value)) + _exp = Experiment( + tof=_tof_handler.tof_array, + distance_source_detector_m=float(self.dSD_ui.value), + detector_offset_micros=float(self.detector_offset_ui.value), + ) self.lambda_array = _exp.lambda_array * 1e10 # to be in Angstroms self.tof_array = _tof_handler.tof_array def save_time_spectra(self, file): self.spectra_file = file - display(HTML(' Spectra File : ' + \ - self.spectra_file + '')) + display(HTML(' Spectra File : ' + self.spectra_file + "")) def select_time_spectra_file(self): self.working_dir = os.path.dirname(self.list_files[0]) - self.time_spectra_ui = fileselector.FileSelectorPanel(instruction='Select Time Spectra File ...', - start_dir=self.working_dir, - next=self.save_time_spectra, - filters={'spectra_file': "_Spectra.txt"}, - multiple=False) + self.time_spectra_ui = fileselector.FileSelectorPanel( + instruction="Select Time Spectra File ...", + start_dir=self.working_dir, + next=self.save_time_spectra, + filters={"spectra_file": "_Spectra.txt"}, + multiple=False, + ) self.time_spectra_ui.show() def select_just_time_spectra_file(self): - self.time_spectra_ui = fileselector.FileSelectorPanel(instruction='Select Time Spectra File ...', - start_dir=self.working_dir, - filters={'spectra_file': "*_Spectra.txt"}, - multiple=False) + self.time_spectra_ui = fileselector.FileSelectorPanel( + instruction="Select Time Spectra File ...", + start_dir=self.working_dir, + filters={"spectra_file": "*_Spectra.txt"}, + multiple=False, + ) self.time_spectra_ui.show() def how_many_data_to_use_to_select_sample_roi(self): nbr_images = len(self.data) - init_value = int(nbr_images/10) + init_value = int(nbr_images / 10) if init_value == 0: init_value = 1 - box1 = widgets.HBox([widgets.Label("Nbr of images to use:", - layout=widgets.Layout(width='15')), - widgets.IntSlider(value=init_value, - max=nbr_images, - min=1, - layout=widgets.Layout(width='50%'))]) + box1 = widgets.HBox( + [ + widgets.Label("Nbr of images to use:", layout=widgets.Layout(width="15")), + widgets.IntSlider(value=init_value, max=nbr_images, min=1, layout=widgets.Layout(width="50%")), + ] + ) box2 = widgets.Label("(The more you select, the longer it will take to display the preview!)") vbox = widgets.VBox([box1, box2]) display(vbox) @@ -224,18 +239,15 @@ def define_integrated_sample_to_use(self): self.final_image = final_image def calculate_counts_vs_file_index_of_regions_selected(self, list_roi=[]): - counts_vs_file_index = [] for _data in self.data: - _array_data = [] for _roi in list_roi.keys(): - - x0 = int(list_roi[_roi]['x0']) - y0 = int(list_roi[_roi]['y0']) - x1 = int(list_roi[_roi]['x1']) - y1 = int(list_roi[_roi]['y1']) + x0 = int(list_roi[_roi]["x0"]) + y0 = int(list_roi[_roi]["y0"]) + x1 = int(list_roi[_roi]["x1"]) + y1 = int(list_roi[_roi]["y1"]) _array_data.append(np.mean(_data[y0:y1, x0:x1])) @@ -244,7 +256,6 @@ def calculate_counts_vs_file_index_of_regions_selected(self, list_roi=[]): self.counts_vs_file_index = counts_vs_file_index def plot(self): - bragg_edges = self.bragg_edges hkl = self.hkl lambda_array = self.lambda_array @@ -260,21 +271,14 @@ def plot(self): _hkl_string.append(_hkl_s) _hkl_formated[_material] = _hkl_string - trace = go.Scatter( - x=self.lambda_array, - y=self.counts_vs_file_index, - mode='markers') + trace = go.Scatter(x=self.lambda_array, y=self.counts_vs_file_index, mode="markers") layout = go.Layout( width=1000, height=500, title="Sum Counts vs TOF", - xaxis=dict( - title="Lambda (Angstroms)" - ), - yaxis=dict( - title="Sum Counts" - ), + xaxis=dict(title="Lambda (Angstroms)"), + yaxis=dict(title="Sum Counts"), ) max_x = 6 @@ -287,16 +291,15 @@ def plot(self): for _index, _value in enumerate(bragg_edges[_material]): if _value > max_x: continue - bragg_line = {"type": "line", - 'x0': _value, - 'x1': _value, - 'yref': "paper", - 'y0': 0, - 'y1': 1, - 'line': { - 'color': 'rgb(255, 0, 0)', - 'width': 1 - }} + bragg_line = { + "type": "line", + "x0": _value, + "x1": _value, + "yref": "paper", + "y0": 0, + "y1": 1, + "line": {"color": "rgb(255, 0, 0)", "width": 1}, + } figure.add_shape(bragg_line) # layout.shapes.append(bragg_line) y_off = 1 - 0.25 * y_index @@ -307,15 +310,12 @@ def plot(self): y=y_off, text=_hkl_formated[_material][_index], yref="paper", - font=dict( - family="Arial", - size=16, - color="rgb(150,50,50)" - ), + font=dict(family="Arial", size=16, color="rgb(150,50,50)"), showarrow=True, arrowhead=3, ax=0, - ay=-25) + ay=-25, + ) figure.add_annotation(_annot) @@ -323,18 +323,19 @@ def plot(self): iplot(figure) def select_output_folder(self): - self.select_folder(message='output', - next_function=self.export_table) + self.select_folder(message="output", next_function=self.export_table) def export_table(self, output_folder): material = self.handler.material[0] lattice = self.handler.lattice[material] crystal_structure = self.handler.crystal_structure[material] - metadata = ["# material: {}".format(material), - "# crystal structure: {}".format(crystal_structure), - "# lattice: {} Angstroms".format(lattice), - "#", - "# hkl, d(angstroms), BraggEdge"] + metadata = [ + f"# material: {material}", + f"# crystal structure: {crystal_structure}", + f"# lattice: {lattice} Angstroms", + "#", + "# hkl, d(angstroms), BraggEdge", + ] data = [] bragg_edges = self.bragg_edges[material] hkl = self.hkl[material] @@ -342,55 +343,55 @@ def export_table(self, output_folder): _hkl_str = [str(i) for i in hkl[_index]] _hkl = "".join(_hkl_str) _bragg_edges = float(bragg_edges[_index]) - _d = _bragg_edges/2. - _row = "{}, {}, {}".format(_hkl, _d, _bragg_edges) + _d = _bragg_edges / 2.0 + _row = f"{_hkl}, {_d}, {_bragg_edges}" data.append(_row) - output_file_name = os.path.join(output_folder, 'bragg_edges_of_{}.txt'.format(material)) + output_file_name = os.path.join(output_folder, f"bragg_edges_of_{material}.txt") - file_handler.make_ascii_file(metadata=metadata, - data=data, - dim='1d', - output_file_name=output_file_name) + file_handler.make_ascii_file(metadata=metadata, data=data, dim="1d", output_file_name=output_file_name) - display(HTML('File created : ' + \ - output_file_name + '')) + display(HTML('File created : ' + output_file_name + "")) def select_folder(self, message="", next_function=None): - folder_widget = fileselector.FileSelectorPanel(instruction='select {} folder'.format(message), - start_dir=self.working_dir, - next=next_function, - type='directory', - multiple=False) + folder_widget = fileselector.FileSelectorPanel( + instruction=f"select {message} folder", + start_dir=self.working_dir, + next=next_function, + type="directory", + multiple=False, + ) folder_widget.show() class Interface(QMainWindow): - roi_width = 0.01 - roi_selected = {} #nice formatting of list_roi for outside access + roi_selected = {} # nice formatting of list_roi for outside access live_data = [] o_norm = None roi_column_width = 70 integrated_image = None - integrated_image_size = {'width': -1, 'height': -1} + integrated_image_size = {"width": -1, "height": -1} - list_roi = {} # 'row": {'x0':None, 'y0': None, 'x1': None, 'y1': None} - default_roi = {'x0': 0, 'y0': 0, 'x1': 50, 'y1': 50, 'id': None} + list_roi = {} # 'row": {'x0':None, 'y0': None, 'x1': None, 'y1': None} + default_roi = {"x0": 0, "y0": 0, "x1": 50, "y1": 50, "id": None} def __init__(self, parent=None, data=None, instruction="", next=None): - - display(HTML('Check UI that popped up \ - (maybe hidden behind this browser!)')) + display( + HTML( + 'Check UI that popped up \ + (maybe hidden behind this browser!)' + ) + ) self.live_data = data self.next = next super(QMainWindow, self).__init__(parent) - ui_full_path = os.path.join(os.path.dirname(os.path.dirname(os.path.dirname(__file__))), - os.path.join('ui', - 'ui_roi_selection.ui')) + ui_full_path = os.path.join( + os.path.dirname(os.path.dirname(os.path.dirname(__file__))), os.path.join("ui", "ui_roi_selection.ui") + ) self.ui = load_ui(ui_full_path, baseinstance=self) # QMainWindow.__init__(self, parent=parent) @@ -460,12 +461,12 @@ def init_statusbar(self): def integrate_images(self): self.integrated_image = self.live_data [_height, _width] = np.shape(self.integrated_image) - self.integrated_image_size['height'] = _height - self.integrated_image_size['width'] = _width + self.integrated_image_size["height"] = _height + self.integrated_image_size["width"] = _width def _clean_image(self, image): _result_inf = np.where(np.isinf(image)) - image[_result_inf] = np.NaN + image[_result_inf] = np.nan return image def display_image(self): @@ -474,11 +475,11 @@ def display_image(self): self.ui.image_view.setImage(_image) def remove_row_entry(self, row): - _roi_id = self.list_roi[row]['id'] + _roi_id = self.list_roi[row]["id"] self.ui.image_view.removeItem(_roi_id) del self.list_roi[row] - #rename row + # rename row new_list_roi = {} new_row_index = 0 for _previous_row_index in self.list_roi.keys(): @@ -487,7 +488,6 @@ def remove_row_entry(self, row): self.list_roi = new_list_roi def remove_roi_button_clicked(self): - self.ui.table_roi.blockSignals(True) _selection = self.ui.table_roi.selectedRanges() @@ -507,7 +507,7 @@ def remove_roi_button_clicked(self): if new_nbr_row == 0: return - if row == (old_nbr_row-1): + if row == (old_nbr_row - 1): row = new_nbr_row - 1 _new_selection = QTableWidgetSelectionRange(row, 0, row, 3) @@ -532,26 +532,26 @@ def update_table_roi_ui(self): self.ui.table_roi.insertRow(_index_row) - self._set_item_value(_index_row, 0, _roi['x0']) + self._set_item_value(_index_row, 0, _roi["x0"]) # _item = QTableWidgetItem(str(_roi['x0'])) # self.ui.table_roi.setItem(_index_row, 0, _item) - self._set_item_value(_index_row, 1, _roi['y0']) + self._set_item_value(_index_row, 1, _roi["y0"]) # _item = QTableWidgetItem(str(_roi['y0'])) # self.ui.table_roi.setItem(_index_row, 1, _item) - self._set_item_value(_index_row, 2, _roi['x1']) + self._set_item_value(_index_row, 2, _roi["x1"]) # _item = QTableWidgetItem(str(_roi['x1'])) # self.ui.table_roi.setItem(_index_row, 2, _item) - self._set_item_value(_index_row, 3, _roi['y1']) + self._set_item_value(_index_row, 3, _roi["y1"]) # _item = QTableWidgetItem(str(_roi['y1'])) # self.ui.table_roi.setItem(_index_row, 3, _item) _index_row += 1 self.ui.table_roi.blockSignals(False) - #self.ui.table_roi.itemChanged['QTableWidgetItem*'].connect(self.update_table_roi) + # self.ui.table_roi.itemChanged['QTableWidgetItem*'].connect(self.update_table_roi) def _set_item_value(self, row=0, column=0, value=-1): _item = QTableWidgetItem(str(value)) @@ -564,9 +564,9 @@ def check_roi_validity(self, value, x_axis=True): value = int(value) if x_axis: - max_value = self.integrated_image_size['width'] + max_value = self.integrated_image_size["width"] else: - max_value = self.integrated_image_size['height'] + max_value = self.integrated_image_size["height"] if value < 0: return min_value @@ -599,11 +599,11 @@ def update_table_roi(self, item): self._set_item_value(_row, 2, _x1) self._set_item_value(_row, 3, _y1) - _roi['x0'] = _x0 - _roi['y0'] = _y0 - _roi['x1'] = _x1 - _roi['y1'] = _y1 - _roi['id'] = old_list_roi[_row]['id'] + _roi["x0"] = _x0 + _roi["y0"] = _y0 + _roi["x1"] = _x1 + _roi["y1"] = _y1 + _roi["id"] = old_list_roi[_row]["id"] new_list_roi[_row] = _roi @@ -618,17 +618,16 @@ def update_image_view_item(self): for _row in list_roi.keys(): _roi = list_roi[_row] - _x0 = int(_roi['x0']) - _y0 = int(_roi['y0']) - _x1 = int(_roi['x1']) - _y1 = int(_roi['y1']) + _x0 = int(_roi["x0"]) + _y0 = int(_roi["y0"]) + _x1 = int(_roi["x1"]) + _y1 = int(_roi["y1"]) _width = np.abs(_x1 - _x0) _height = np.abs(_y1 - _y0) - _roi_id = self.init_roi(x0=_x0, y0=_y0, - width=_width, height=_height) - _roi['id'] = _roi_id + _roi_id = self.init_roi(x0=_x0, y0=_y0, width=_width, height=_height) + _roi["id"] = _roi_id list_roi[_row] = _roi @@ -639,16 +638,15 @@ def _get_item_value(self, row, column): if _item: return str(_item.text()) else: - return '' + return "" def roi_manually_moved(self): list_roi = self.list_roi for _row in list_roi.keys(): - _roi = list_roi[_row] - roi_id = _roi['id'] + roi_id = _roi["id"] region = roi_id.getArraySlice(self.integrated_image, self.ui.image_view.imageItem) x0 = region[0][0].start @@ -656,10 +654,10 @@ def roi_manually_moved(self): y0 = region[0][1].start y1 = region[0][1].stop - _roi['x0'] = x0 - _roi['x1'] = x1 - _roi['y0'] = y0 - _roi['y1'] = y1 + _roi["x0"] = x0 + _roi["x1"] = x1 + _roi["y0"] = y0 + _roi["y1"] = y1 list_roi[_row] = _roi @@ -670,9 +668,8 @@ def clear_roi_on_image_view(self): list_roi = self.list_roi for _row in list_roi.keys(): - _roi = list_roi[_row] - roi_id = _roi['id'] + roi_id = _roi["id"] self.ui.image_view.removeItem(roi_id) def add_roi_button_clicked(self): @@ -689,16 +686,16 @@ def add_roi_button_clicked(self): self.ui.table_roi.insertRow(row) _default_roi = self.default_roi - _item = QTableWidgetItem(str(_default_roi['x0'])) + _item = QTableWidgetItem(str(_default_roi["x0"])) self.ui.table_roi.setItem(row, 0, _item) - _item = QTableWidgetItem(str(_default_roi['y0'])) + _item = QTableWidgetItem(str(_default_roi["y0"])) self.ui.table_roi.setItem(row, 1, _item) - _item = QTableWidgetItem(str(_default_roi['x1'])) + _item = QTableWidgetItem(str(_default_roi["x1"])) self.ui.table_roi.setItem(row, 2, _item) - _item = QTableWidgetItem(str(_default_roi['y1'])) + _item = QTableWidgetItem(str(_default_roi["y1"])) self.ui.table_roi.setItem(row, 3, _item) # save new list_roi dictionary @@ -708,25 +705,24 @@ def add_roi_button_clicked(self): _roi = {} _x0 = self._get_item_value(_row, 0) - _roi['x0'] = int(_x0) + _roi["x0"] = int(_x0) _y0 = self._get_item_value(_row, 1) - _roi['y0'] = int(_y0) + _roi["y0"] = int(_y0) _x1 = self._get_item_value(_row, 2) - _roi['x1'] = int(_x1) + _roi["x1"] = int(_x1) _y1 = self._get_item_value(_row, 3) - _roi['y1'] = int(_y1) + _roi["y1"] = int(_y1) x0_int = int(_x0) y0_int = int(_y0) width_int = np.abs(x0_int - int(_x1)) height_int = np.abs(y0_int - int(_y1)) - _roi_id = self.init_roi(x0=x0_int, y0=y0_int, - width=width_int, height=height_int) - _roi['id'] = _roi_id + _roi_id = self.init_roi(x0=x0_int, y0=y0_int, width=width_int, height=height_int) + _roi["id"] = _roi_id list_roi[_row] = _roi self.list_roi = list_roi @@ -763,17 +759,17 @@ def format_roi(self): roi_selected = {} for _key in self.list_roi.keys(): _roi = self.list_roi[_key] - x0 = _roi['x0'] - y0 = _roi['y0'] - x1 = _roi['x1'] - y1 = _roi['y1'] - new_entry = {'x0': x0, 'y0': y0, 'x1': x1, 'y1': y1} + x0 = _roi["x0"] + y0 = _roi["y0"] + x1 = _roi["x1"] + y1 = _roi["y1"] + new_entry = {"x0": x0, "y0": y0, "x1": x1, "y1": y1} roi_selected[_key] = new_entry self.roi_selected = roi_selected def apply_clicked(self): - self.update_table_roi(None) #check ROI before leaving application + self.update_table_roi(None) # check ROI before leaving application self.format_roi() self.close() diff --git a/notebooks/__code/bragg_edge/bragg_edge_normalization.py b/notebooks/__code/bragg_edge/bragg_edge_normalization.py index e24698be..4c8b617f 100755 --- a/notebooks/__code/bragg_edge/bragg_edge_normalization.py +++ b/notebooks/__code/bragg_edge/bragg_edge_normalization.py @@ -1,31 +1,28 @@ -import random -import os import glob +import logging +import os +import random from pathlib import Path -from IPython.display import HTML -from IPython.display import display + import numpy as np -from plotly.offline import iplot import plotly.graph_objs as go +from IPython.display import HTML, display from ipywidgets import widgets -import logging - -from neutronbraggedge.experiment_handler import * from NeuNorm.normalization import Normalization from NeuNorm.roi import ROI +from neutronbraggedge.experiment_handler import * +from plotly.offline import iplot -from __code import file_handler +from __code import file_handler, ipywe +from __code._utilities.file import get_full_home_file_name from __code.bragg_edge.bragg_edge import BraggEdge as BraggEdgeParent from __code.bragg_edge.bragg_edge import Interface from __code.file_folder_browser import FileFolderBrowser -from __code import ipywe -from __code._utilities.file import get_full_home_file_name LOG_FILE_NAME = ".bragg_edge_normalization.log" class BraggEdge(BraggEdgeParent): - o_interface = None select_ob_widget = None @@ -33,47 +30,55 @@ def __init__(self, working_dir="./"): super(BraggEdge, self).__init__(working_dir=working_dir) self.log_file_name = get_full_home_file_name(LOG_FILE_NAME) - logging.basicConfig(filename=self.log_file_name, - filemode='w', - format='[%(levelname)s] - %(asctime)s - %(message)s', - level=logging.INFO) + logging.basicConfig( + filename=self.log_file_name, + filemode="w", + format="[%(levelname)s] - %(asctime)s - %(message)s", + level=logging.INFO, + ) logging.info("*** Starting a new session ***") def load_data(self, folder_selected): - logging.info(f"Loading data from {folder_selected}") self.o_norm = Normalization() - self.load_files(data_type='sample', folder=folder_selected) + self.load_files(data_type="sample", folder=folder_selected) # define time spectra file - folder = os.path.dirname(self.o_norm.data['sample']['file_name'][0]) - self.list_files = self.o_norm.data['sample']['file_name'] + folder = os.path.dirname(self.o_norm.data["sample"]["file_name"][0]) + self.list_files = self.o_norm.data["sample"]["file_name"] self.data_folder_name = os.path.basename(folder) - spectra_file = glob.glob(os.path.join(folder, '*_Spectra.txt')) + spectra_file = glob.glob(os.path.join(folder, "*_Spectra.txt")) logging.info(f"> looking for spectra file: {spectra_file}") if spectra_file: - logging.info(f"-> spectra file FOUND!") + logging.info("-> spectra file FOUND!") self.spectra_file = spectra_file[0] - display(HTML(' Spectra File automatically located: ' + \ - self.spectra_file + '')) + display( + HTML( + ' Spectra File automatically located: ' + + self.spectra_file + + "" + ) + ) else: # ask for spectra file - logging.info(f"-> spectra file NOT FOUND! Asking user to select time spectra file") + logging.info("-> spectra file NOT FOUND! Asking user to select time spectra file") self.select_time_spectra_file() def select_time_spectra_file(self): self.working_dir = os.path.dirname(self.list_files[0]) - self.time_spectra_ui = ipywe.fileselector.FileSelectorPanel(instruction='Select Time Spectra File ...', - start_dir=self.working_dir, - next=self.save_time_spectra, - filters={'spectra_file': "_Spectra.txt"}, - multiple=False) + self.time_spectra_ui = ipywe.fileselector.FileSelectorPanel( + instruction="Select Time Spectra File ...", + start_dir=self.working_dir, + next=self.save_time_spectra, + filters={"spectra_file": "_Spectra.txt"}, + multiple=False, + ) self.time_spectra_ui.show() - self.cancel_button = widgets.Button(description="or Do Not Select any Time Spectra", - button_style="info", - layout=widgets.Layout(width='100%')) + self.cancel_button = widgets.Button( + description="or Do Not Select any Time Spectra", button_style="info", layout=widgets.Layout(width="100%") + ) display(self.cancel_button) self.cancel_button.on_click(self.cancel_time_spectra_selection) @@ -83,45 +88,52 @@ def save_time_spectra(self, file): self.cancel_button.close() def cancel_time_spectra_selection(self, value): - logging.info(f"User cancel loading time spectra!") + logging.info("User cancel loading time spectra!") self.time_spectra_ui.remove() self.cancel_button.close() display(HTML('NO Spectra File loaded! ')) - def load_files(self, data_type='sample', folder=None): + def load_files(self, data_type="sample", folder=None): self.starting_dir = os.path.dirname(folder) - if data_type == 'sample': + if data_type == "sample": self.data_folder_name = os.path.basename(folder) - list_files = glob.glob(os.path.join(folder, '*.fits')) + list_files = glob.glob(os.path.join(folder, "*.fits")) if list_files == []: - list_files = glob.glob(os.path.join(folder, '*.tif*')) + list_files = glob.glob(os.path.join(folder, "*.tif*")) else: # fits # keep only files of interest - list_files = [file for file in list_files if not "_SummedImg.fits" in file] + list_files = [file for file in list_files if "_SummedImg.fits" not in file] list_files = [file for file in list_files if ".fits" in file] # sort list of files list_files.sort() - logging.info(f"load files:") + logging.info("load files:") logging.info(f"-> data type: {data_type}") logging.info(f"-> nbr of files: {len(list_files)}") o_norm = Normalization() o_norm.load(file=list_files, notebook=True, data_type=data_type) - if data_type == 'sample': + if data_type == "sample": self.o_norm = o_norm - elif data_type == 'ob': - self.o_norm.data['ob'] = o_norm.data['ob'] - - display(HTML('' + str(len(list_files)) + \ - ' files have been loaded as ' + data_type + '')) + elif data_type == "ob": + self.o_norm.data["ob"] = o_norm.data["ob"] + + display( + HTML( + '' + + str(len(list_files)) + + " files have been loaded as " + + data_type + + "" + ) + ) def get_nbr_of_images_to_use_in_preview(self): - nbr_images = len(self.o_norm.data['sample']['data']) + nbr_images = len(self.o_norm.data["sample"]["data"]) init_value = int(nbr_images / 10) if init_value == 0: init_value = 1 @@ -131,57 +143,53 @@ def normalization_settings_widgets(self): # with ob ## button - self.select_ob_widget = widgets.Button(description="Select OB ...", - button_style="success", - layout=widgets.Layout(width="100%")) + self.select_ob_widget = widgets.Button( + description="Select OB ...", button_style="success", layout=widgets.Layout(width="100%") + ) self.select_ob_widget.on_click(self.select_ob_folder) ## space spacer = widgets.HTML(value="
") ## nbr of images to use - nbr_images_to_use_label = widgets.Label("Nbr of images to use in preview", - layout=widgets.Layout(width="20%")) + nbr_images_to_use_label = widgets.Label("Nbr of images to use in preview", layout=widgets.Layout(width="20%")) nbr_of_images_to_use_in_preview = self.get_nbr_of_images_to_use_in_preview() - self.nbr_images_slider_with_ob = widgets.IntSlider(min=2, - max=len(self.list_files), - value=nbr_of_images_to_use_in_preview, - layout=widgets.Layout(width="80%")) + self.nbr_images_slider_with_ob = widgets.IntSlider( + min=2, max=len(self.list_files), value=nbr_of_images_to_use_in_preview, layout=widgets.Layout(width="80%") + ) hbox_1 = widgets.HBox([nbr_images_to_use_label, self.nbr_images_slider_with_ob]) - self.select_roi_widget_with_ob = widgets.Button(description="OPTIONAL: Select Region of interest away from " - "sample " - "to " - "improve normalization", - layout=widgets.Layout(width="100%")) + self.select_roi_widget_with_ob = widgets.Button( + description="OPTIONAL: Select Region of interest away from " "sample " "to " "improve normalization", + layout=widgets.Layout(width="100%"), + ) self.select_roi_widget_with_ob.on_click(self.select_roi_with_ob) - vbox_with_ob = widgets.VBox([self.select_ob_widget, - spacer, - hbox_1, - spacer, - self.select_roi_widget_with_ob, - ]) + vbox_with_ob = widgets.VBox( + [ + self.select_ob_widget, + spacer, + hbox_1, + spacer, + self.select_roi_widget_with_ob, + ] + ) # without ob ## nbr of images to use - self.nbr_images_slider_without_ob = widgets.IntSlider(min=2, - max=len(self.list_files), - value=nbr_of_images_to_use_in_preview, - layout=widgets.Layout(width="80%")) + self.nbr_images_slider_without_ob = widgets.IntSlider( + min=2, max=len(self.list_files), value=nbr_of_images_to_use_in_preview, layout=widgets.Layout(width="80%") + ) hbox_without_ob = widgets.HBox([nbr_images_to_use_label, self.nbr_images_slider_without_ob]) - select_roi_widget_without_ob = widgets.Button(description="MANDATORY: Select region of interest " - "away from " - "sample", - button_style="success", - layout=widgets.Layout(width="100%")) + select_roi_widget_without_ob = widgets.Button( + description="MANDATORY: Select region of interest " "away from " "sample", + button_style="success", + layout=widgets.Layout(width="100%"), + ) select_roi_widget_without_ob.on_click(self.select_roi_without_ob) - vbox_without_ob = widgets.VBox([hbox_without_ob, - spacer, - select_roi_widget_without_ob - ]) + vbox_without_ob = widgets.VBox([hbox_without_ob, spacer, select_roi_widget_without_ob]) self.accordion = widgets.Accordion(children=[vbox_with_ob, vbox_without_ob]) self.accordion.set_title(0, "With OB") @@ -197,9 +205,11 @@ def select_roi_without_ob(self, status): self.select_roi(nbr_data_to_use=nbr_data_to_use) def select_roi(self, nbr_data_to_use=2): - self.o_interface = Interface(data=self.get_image_to_use_for_display(nbr_data_to_use=nbr_data_to_use), - instruction="Select region outside sample!", - next=self.after_selecting_roi) + self.o_interface = Interface( + data=self.get_image_to_use_for_display(nbr_data_to_use=nbr_data_to_use), + instruction="Select region outside sample!", + next=self.after_selecting_roi, + ) self.o_interface.show() def after_selecting_roi(self): @@ -211,58 +221,63 @@ def after_selecting_roi(self): self.select_roi_widget_without_ob.button_style = "" def select_ob_folder(self, status=None): - select_data = ipywe.fileselector.FileSelectorPanel(instruction='Select OB Folder ...', - start_dir=self.starting_dir, - next=self.load_ob, - type='directory', - multiple=False) + select_data = ipywe.fileselector.FileSelectorPanel( + instruction="Select OB Folder ...", + start_dir=self.starting_dir, + next=self.load_ob, + type="directory", + multiple=False, + ) select_data.show() def load_ob(self, folder_selected): - self.load_files(data_type='ob', folder=folder_selected) + self.load_files(data_type="ob", folder=folder_selected) self.check_data_array_sizes() if self.select_ob_widget: self.select_ob_widget.button_style = "" self.select_roi_widget_with_ob.button_style = "success" def check_data_array_sizes(self): - len_ob = len(self.o_norm.data['ob']['file_name']) - len_sample = len(self.o_norm.data['sample']['file_name']) + len_ob = len(self.o_norm.data["ob"]["file_name"]) + len_sample = len(self.o_norm.data["sample"]["file_name"]) if len_ob == len_sample: display(HTML(' Sample and OB have the same size!')) return if len_ob < len_sample: - self.o_norm.data['sample']['data'] = self.o_norm.data['sample']['data'][0:len_ob] - self.o_norm.data['sample']['file_name'] = self.o_norm.data['sample']['file_name'][0:len_ob] + self.o_norm.data["sample"]["data"] = self.o_norm.data["sample"]["data"][0:len_ob] + self.o_norm.data["sample"]["file_name"] = self.o_norm.data["sample"]["file_name"][0:len_ob] display(HTML(' Truncated Sample array to match OB!')) else: - self.o_norm.data['ob']['data'] = self.o_norm.data['ob']['data'][0:len_sample] - self.o_norm.data['ob']['file_name'] = self.o_norm.data['ob']['file_name'][0:len_sample] + self.o_norm.data["ob"]["data"] = self.o_norm.data["ob"]["data"][0:len_sample] + self.o_norm.data["ob"]["file_name"] = self.o_norm.data["ob"]["file_name"][0:len_sample] display(HTML(' Truncated OB array to match Sample!')) def load_time_spectra(self): _tof_handler = TOF(filename=self.spectra_file) - _exp = Experiment(tof=_tof_handler.tof_array, - distance_source_detector_m=float(self.dSD_ui.value), - detector_offset_micros=float(self.detector_offset_ui.value)) + _exp = Experiment( + tof=_tof_handler.tof_array, + distance_source_detector_m=float(self.dSD_ui.value), + detector_offset_micros=float(self.detector_offset_ui.value), + ) - nbr_sample = len(self.o_norm.data['sample']['file_name']) + nbr_sample = len(self.o_norm.data["sample"]["file_name"]) - self.lambda_array = _exp.lambda_array[0: nbr_sample] * 1e10 # to be in Angstroms - self.tof_array = _tof_handler.tof_array[0: nbr_sample] + self.lambda_array = _exp.lambda_array[0:nbr_sample] * 1e10 # to be in Angstroms + self.tof_array = _tof_handler.tof_array[0:nbr_sample] def how_many_data_to_use_to_select_sample_roi(self): - nbr_images = len(self.o_norm.data['sample']['data']) + nbr_images = len(self.o_norm.data["sample"]["data"]) init_value = int(nbr_images / 10) if init_value == 0: init_value = 1 - box1 = widgets.HBox([widgets.Label("Nbr of images to use:", - layout=widgets.Layout(width='15')), - widgets.IntSlider(value=init_value, - max=nbr_images, - min=1)]) + box1 = widgets.HBox( + [ + widgets.Label("Nbr of images to use:", layout=widgets.Layout(width="15")), + widgets.IntSlider(value=init_value, max=nbr_images, min=1), + ] + ) # layout=widgets.Layout(width='50%'))]) box2 = widgets.Label("(The more you select, the longer it will take to display the preview!)") vbox = widgets.VBox([box1, box2]) @@ -270,7 +285,7 @@ def how_many_data_to_use_to_select_sample_roi(self): self.number_of_data_to_use_ui = box1.children[1] def get_image_to_use_for_display(self, nbr_data_to_use=2): - _data = self.o_norm.data['sample']['data'] + _data = self.o_norm.data["sample"]["data"] nbr_images = len(_data) list_of_indexes_to_keep = random.sample(list(range(nbr_images)), nbr_data_to_use) @@ -309,20 +324,17 @@ def normalization_without_ob(self, list_rois): list_o_roi = [] for key in list_rois.keys(): roi = list_rois[key] - _x0 = roi['x0'] - _y0 = roi['y0'] - _x1 = roi['x1'] - _y1 = roi['y1'] + _x0 = roi["x0"] + _y0 = roi["y0"] + _x1 = roi["x1"] + _y1 = roi["y1"] - list_o_roi.append(ROI(x0=_x0, - y0=_y0, - x1=_x1, - y1=_y1)) + list_o_roi.append(ROI(x0=_x0, y0=_y0, x1=_x1, y1=_y1)) logging.info(f"-> Normalization with {len(list_o_roi)} ROIs") self.o_norm.normalization(roi=list_o_roi, use_only_sample=True, notebook=True) display(HTML(' Normalization DONE! ')) - logging.info(f"-> Done!") + logging.info("-> Done!") def normalization_with_ob(self, list_rois): logging.info("Running normalization with OB") @@ -333,73 +345,73 @@ def normalization_with_ob(self, list_rois): list_o_roi = [] for key in list_rois.keys(): roi = list_rois[key] - _x0 = roi['x0'] - _y0 = roi['y0'] - _x1 = roi['x1'] - _y1 = roi['y1'] + _x0 = roi["x0"] + _y0 = roi["y0"] + _x1 = roi["x1"] + _y1 = roi["y1"] - list_o_roi.append(ROI(x0=_x0, - y0=_y0, - x1=_x1, - y1=_y1)) + list_o_roi.append(ROI(x0=_x0, y0=_y0, x1=_x1, y1=_y1)) logging.info(f"-> Normalization with {len(list_o_roi)} ROIs") self.o_norm.normalization(roi=list_o_roi, notebook=True) display(HTML(' Normalization DONE! ')) - logging.info(f"-> Done!") + logging.info("-> Done!") def export_normalized_data(self): - self.o_folder = FileFolderBrowser(working_dir=self.working_dir, - next_function=self.export_normalized_data_step2, - ipts_folder=self.ipts_folder) + self.o_folder = FileFolderBrowser( + working_dir=self.working_dir, next_function=self.export_normalized_data_step2, ipts_folder=self.ipts_folder + ) self.o_folder.select_output_folder_with_new(instruction="Select where to create the normalized data ...") def export_normalized_data_step2(self, output_folder): - logging.info(f"export normalized data") + logging.info("export normalized data") logging.info(f"-> output_folder: {output_folder}") output_folder = os.path.abspath(output_folder) self.o_folder.list_output_folders_ui.shortcut_buttons.close() - normalized_export_folder = str(Path(output_folder) / (self.data_folder_name + '_normalized')) + normalized_export_folder = str(Path(output_folder) / (self.data_folder_name + "_normalized")) file_handler.make_or_reset_folder(normalized_export_folder) self.o_norm.export(folder=normalized_export_folder) - display(HTML(' Created the normalized data in the folder ' + - normalized_export_folder + '')) + display( + HTML( + ' Created the normalized data in the folder ' + + normalized_export_folder + + "" + ) + ) if self.spectra_file: - logging.info(f"-> time spectra copied to output folder!") - file_handler.copy_files_to_folder(list_files=[self.spectra_file], - output_folder=normalized_export_folder) + logging.info("-> time spectra copied to output folder!") + file_handler.copy_files_to_folder(list_files=[self.spectra_file], output_folder=normalized_export_folder) display(HTML(' Copied time spectra file to same folder ')) else: - logging.info(f"->No time spectra copied!") + logging.info("->No time spectra copied!") def calculate_counts_vs_file_index_of_regions_selected(self, list_roi=None): self.list_roi = list_roi data = self.o_norm.get_sample_data() nbr_data = len(data) - box_ui = widgets.HBox([widgets.Label("Calculate Counts vs lambda", - layout=widgets.Layout(width='20%')), - widgets.IntProgress(min=0, - max=nbr_data, - value=0, - layout=widgets.Layout(width='50%'))]) + box_ui = widgets.HBox( + [ + widgets.Label("Calculate Counts vs lambda", layout=widgets.Layout(width="20%")), + widgets.IntProgress(min=0, max=nbr_data, value=0, layout=widgets.Layout(width="50%")), + ] + ) progress_bar = box_ui.children[1] display(box_ui) counts_vs_file_index = [] for _index, _data in enumerate(data): - if len(list_roi) == 0: _array_data = _data else: _array_data = [] for _roi in list_roi.keys(): - x0 = int(list_roi[_roi]['x0']) - y0 = int(list_roi[_roi]['y0']) - x1 = int(list_roi[_roi]['x1']) - y1 = int(list_roi[_roi]['y1']) + x0 = int(list_roi[_roi]["x0"]) + y0 = int(list_roi[_roi]["y0"]) + x1 = int(list_roi[_roi]["x1"]) + y1 = int(list_roi[_roi]["y1"]) _array_data.append(np.nanmean(_data[y0:y1, x0:x1])) @@ -411,21 +423,13 @@ def calculate_counts_vs_file_index_of_regions_selected(self, list_roi=None): box_ui.close() def plot(self): - - trace = go.Scatter( - x=self.lambda_array, - y=self.counts_vs_file_index, - mode='markers') + trace = go.Scatter(x=self.lambda_array, y=self.counts_vs_file_index, mode="markers") layout = go.Layout( - height=500, - title="Average transmission vs TOF (of entire images, or of selected region if any)", - xaxis=dict( - title="Lambda (Angstroms)" - ), - yaxis=dict( - title="Average Transmission" - ), + height=500, + title="Average transmission vs TOF (of entire images, or of selected region if any)", + xaxis=dict(title="Lambda (Angstroms)"), + yaxis=dict(title="Average Transmission"), ) data = [trace] @@ -434,24 +438,22 @@ def plot(self): iplot(figure) def select_output_data_folder(self): - o_folder = FileFolderBrowser(working_dir=self.working_dir, - next_function=self.export_data) + o_folder = FileFolderBrowser(working_dir=self.working_dir, next_function=self.export_data) o_folder.select_output_folder(instruction="Select where to create the ascii file...") - def make_output_file_name(self, output_folder='', input_folder=''): + def make_output_file_name(self, output_folder="", input_folder=""): file_name = os.path.basename(input_folder) + "_counts_vs_lambda_tof.txt" return os.path.join(os.path.abspath(output_folder), file_name) def export_data(self, output_folder): - input_folder = os.path.dirname(self.o_norm.data['sample']['file_name'][0]) - output_file_name = self.make_output_file_name(output_folder=output_folder, - input_folder=input_folder) + input_folder = os.path.dirname(self.o_norm.data["sample"]["file_name"][0]) + output_file_name = self.make_output_file_name(output_folder=output_folder, input_folder=input_folder) lambda_array = self.lambda_array counts_vs_file_index = self.counts_vs_file_index tof_array = self.tof_array - metadata = ["# input folder: {}".format(input_folder)] + metadata = [f"# input folder: {input_folder}"] list_roi = self.list_roi if len(list_roi) == 0: @@ -459,48 +461,53 @@ def export_data(self, output_folder): else: for index, key in enumerate(list_roi.keys()): roi = list_roi[key] - _x0 = roi['x0'] - _y0 = roi['y0'] - _x1 = roi['x1'] - _y1 = roi['y1'] - metadata.append("# ROI {}: x0={}, y0={}, x1={}, y1={}".format(index, - _x0, - _y0, - _x1, - _y1)) + _x0 = roi["x0"] + _y0 = roi["y0"] + _x1 = roi["x1"] + _y1 = roi["y1"] + metadata.append(f"# ROI {index}: x0={_x0}, y0={_y0}, x1={_x1}, y1={_y1}") metadata.append("#") metadata.append("# tof (micros), lambda (Angstroms), Average transmission") data = [] - for _t, _l, _c in zip(tof_array, lambda_array, counts_vs_file_index): - data.append("{}, {}, {}".format(_t, _l, _c)) + for _t, _l, _c in zip(tof_array, lambda_array, counts_vs_file_index, strict=False): + data.append(f"{_t}, {_l}, {_c}") - file_handler.make_ascii_file(metadata=metadata, - data=data, - output_file_name=output_file_name, - dim='1d') + file_handler.make_ascii_file(metadata=metadata, data=data, output_file_name=output_file_name, dim="1d") if os.path.exists(output_file_name): - display(HTML('Ascii file ' + output_file_name + ' has been ' + - 'created ')) + display( + HTML( + 'Ascii file ' + + output_file_name + + " has been " + + "created " + ) + ) else: - display(HTML('Error exporting Ascii file ' + output_file_name + - '')) + display( + HTML( + 'Error exporting Ascii file ' + + output_file_name + + "" + ) + ) def select_output_table_folder(self): - o_folder = FileFolderBrowser(working_dir=self.working_dir, - next_function=self.export_table) + o_folder = FileFolderBrowser(working_dir=self.working_dir, next_function=self.export_table) o_folder.select_output_folder() def export_table(self, output_folder): material = self.handler.material[0] lattice = self.handler.lattice[material] crystal_structure = self.handler.crystal_structure[material] - metadata = ["# material: {}".format(material), - "# crystal structure: {}".format(crystal_structure), - "# lattice: {} Angstroms".format(lattice), - "#", - "# hkl, d(angstroms), BraggEdge"] + metadata = [ + f"# material: {material}", + f"# crystal structure: {crystal_structure}", + f"# lattice: {lattice} Angstroms", + "#", + "# hkl, d(angstroms), BraggEdge", + ] data = [] bragg_edges = self.bragg_edges[material] hkl = self.hkl[material] @@ -508,24 +515,22 @@ def export_table(self, output_folder): _hkl_str = [str(i) for i in hkl[_index]] _hkl = "".join(_hkl_str) _bragg_edges = float(bragg_edges[_index]) - _d = _bragg_edges / 2. - _row = "{}, {}, {}".format(_hkl, _d, _bragg_edges) + _d = _bragg_edges / 2.0 + _row = f"{_hkl}, {_d}, {_bragg_edges}" data.append(_row) - output_file_name = os.path.join(output_folder, 'bragg_edges_of_{}.txt'.format(material)) + output_file_name = os.path.join(output_folder, f"bragg_edges_of_{material}.txt") - file_handler.make_ascii_file(metadata=metadata, - data=data, - dim='1d', - output_file_name=output_file_name) + file_handler.make_ascii_file(metadata=metadata, data=data, dim="1d", output_file_name=output_file_name) - display(HTML('File created : ' + \ - output_file_name + '')) + display(HTML('File created : ' + output_file_name + "")) def select_folder(self, message="", next_function=None): - folder_widget = ipywe.fileselector.FileSelectorPanel(instruction='select {} folder'.format(message), - start_dir=self.working_dir, - next=next_function, - type='directory', - multiple=False) + folder_widget = ipywe.fileselector.FileSelectorPanel( + instruction=f"select {message} folder", + start_dir=self.working_dir, + next=next_function, + type="directory", + multiple=False, + ) folder_widget.show() diff --git a/notebooks/__code/bragg_edge/bragg_edge_peak_fitting.py b/notebooks/__code/bragg_edge/bragg_edge_peak_fitting.py index c2b849e8..d2b20569 100755 --- a/notebooks/__code/bragg_edge/bragg_edge_peak_fitting.py +++ b/notebooks/__code/bragg_edge/bragg_edge_peak_fitting.py @@ -1,105 +1,90 @@ -from IPython.display import HTML import os import random + import numpy as np -from IPython.display import display import pyqtgraph as pg -from qtpy.QtWidgets import QMainWindow +from IPython.display import HTML, display +from neutronbraggedge.experiment_handler import * from qtpy import QtGui from qtpy.QtGui import QGuiApplication +from qtpy.QtWidgets import QMainWindow -from neutronbraggedge.experiment_handler import * - +from __code import load_ui +from __code._utilities.array import exclude_y_value_when_error_is_nan from __code.bragg_edge.bragg_edge_normalization import BraggEdge as BraggEdgeParent -from __code.bragg_edge.peak_fitting_interface_initialization import Initialization from __code.bragg_edge.bragg_edge_peak_fitting_gui_utility import GuiUtility -from __code import load_ui -from __code.utilities import find_nearest_index -from __code.table_handler import TableHandler -from __code.bragg_edge.kropff_fitting_job_handler import KropffFittingJobHandler -from __code.bragg_edge.march_dollase_fitting_job_handler import MarchDollaseFittingJobHandler -from __code.bragg_edge.kropff import Kropff -from __code.bragg_edge.march_dollase import MarchDollase -from __code.bragg_edge.export_handler import ExportHandler -from __code.bragg_edge.import_handler import ImportHandler from __code.bragg_edge.bragg_edge_selection_tab import BraggEdgeSelectionTab +from __code.bragg_edge.export_handler import ExportHandler from __code.bragg_edge.get import Get +from __code.bragg_edge.import_handler import ImportHandler +from __code.bragg_edge.kropff import Kropff +from __code.bragg_edge.kropff_fitting_job_handler import KropffFittingJobHandler +from __code.bragg_edge.march_dollase import MarchDollase +from __code.bragg_edge.march_dollase_fitting_job_handler import MarchDollaseFittingJobHandler from __code.bragg_edge.peak_fitting_initialization import PeakFittingInitialization -from __code._utilities.array import exclude_y_value_when_error_is_nan +from __code.bragg_edge.peak_fitting_interface_initialization import Initialization +from __code.table_handler import TableHandler +from __code.utilities import find_nearest_index DEBUGGING = True class BraggEdge(BraggEdgeParent): - def load_ob(self, folder_selected): - self.load_files(data_type='ob', folder=folder_selected) + self.load_files(data_type="ob", folder=folder_selected) self.check_data_array_sizes() self.divide_normalized_data_by_OB_white_beam() def divide_normalized_data_by_OB_white_beam(self): - norm_data = self.o_norm.data['ob']['data'] + norm_data = self.o_norm.data["ob"]["data"] self.white_beam_ob = np.mean(norm_data, 0) class Interface(QMainWindow): - - fitting_parameters_init = {'kropff': {'a0': 1, - 'b0': 1, - 'ahkl': 1, - 'bhkl': 1, - 'ldahkl': 1e-8, - 'tau': 1, - 'sigma': [1e-7, 1e-6, 1e-5]}} + fitting_parameters_init = { + "kropff": {"a0": 1, "b0": 1, "ahkl": 1, "bhkl": 1, "ldahkl": 1e-8, "tau": 1, "sigma": [1e-7, 1e-6, 1e-5]} + } bragg_edge_range = [5, 20] # relative index of the bragg peak only part (kropff and March-Dollase) - bragg_peak_selection_range = [np.NaN, np.NaN] + bragg_peak_selection_range = [np.nan, np.nan] selection_roi_rgb = (62, 13, 244) - roi_settings = {'color': QtGui.QColor(selection_roi_rgb[0], - selection_roi_rgb[1], - selection_roi_rgb[2]), - 'width': 0.01, - 'position': [10, 10]} + roi_settings = { + "color": QtGui.QColor(selection_roi_rgb[0], selection_roi_rgb[1], selection_roi_rgb[2]), + "width": 0.01, + "position": [10, 10], + } shrinking_roi_rgb = (13, 214, 244) - shrinking_roi_settings = {'color': QtGui.QColor(shrinking_roi_rgb[0], - shrinking_roi_rgb[1], - shrinking_roi_rgb[2]), - 'width': 0.01, - 'dashes_pattern': [4, 2]} + shrinking_roi_settings = { + "color": QtGui.QColor(shrinking_roi_rgb[0], shrinking_roi_rgb[1], shrinking_roi_rgb[2]), + "width": 0.01, + "dashes_pattern": [4, 2], + } fit_rgb = (0, 255, 0) shrinking_roi_id = None - shrinking_roi = {'x0': None, - 'y0': None, - 'width': None, - 'height': None} - previous_roi_selection = {'width': None, - 'height': None} - image_size = {'width': None, - 'height': None} + shrinking_roi = {"x0": None, "y0": None, "width": None, "height": None} + previous_roi_selection = {"width": None, "height": None} + image_size = {"width": None, "height": None} roi_id = None - xaxis_label = {'index': "File index", - 'tof': u"TOF (\u00B5s)", - 'lambda': u"\u03BB (\u212B)"} - fitting_rois = {'kropff': {'step1': None, - 'step2': None, - 'step3': None, - }, - } - - is_file_imported = False # True only when the import button has been used + xaxis_label = {"index": "File index", "tof": "TOF (\u00b5s)", "lambda": "\u03bb (\u212b)"} + fitting_rois = { + "kropff": { + "step1": None, + "step2": None, + "step3": None, + }, + } + + is_file_imported = False # True only when the import button has been used bragg_edge_range_ui = None - kropff_fitting_range = {'high': [None, None], - 'low': [None, None], - 'bragg_peak': [None, None]} + kropff_fitting_range = {"high": [None, None], "low": [None, None], "bragg_peak": [None, None]} fitting_peak_ui = None # vertical line in fitting view (tab 2) - fitting_procedure_started = {'march-dollase': False, - 'kropff': False} + fitting_procedure_started = {"march-dollase": False, "kropff": False} # x0, y0, x1, y1, width, height roi_dimension_from_config_file = [None, None, None, None, None, None] @@ -161,21 +146,36 @@ class Interface(QMainWindow): # 1: {'width': None, 'height': None}, # } - march_dollase_fitting_peak_ui = None # ROI of march dollase peak region + march_dollase_fitting_peak_ui = None # ROI of march dollase peak region march_dollase_fitting_history_table = None - march_dollase_fitting_initial_parameters = {'d_spacing': np.NaN, - 'sigma': 3.5, - 'alpha': 4.5, - 'a1': "row dependent", - 'a2': "row dependent", - 'a5': "row dependent", - 'a6': "row dependent"} + march_dollase_fitting_initial_parameters = { + "d_spacing": np.nan, + "sigma": 3.5, + "alpha": 4.5, + "a1": "row dependent", + "a2": "row dependent", + "a5": "row dependent", + "a6": "row dependent", + } march_dollase_fitting_history_table_default_new_row = None march_dollase_fitting_range_selected = None - march_dollase_list_columns = ['d_spacing', 'sigma', 'alpha', 'a1', 'a2', 'a5', 'a6', - 'd_spacing_error', 'sigma_error', 'alpha_error', - 'a1_error', 'a2_error', 'a5_error', 'a6_error'] + march_dollase_list_columns = [ + "d_spacing", + "sigma", + "alpha", + "a1", + "a2", + "a5", + "a6", + "d_spacing_error", + "sigma_error", + "alpha_error", + "a1_error", + "a2_error", + "a5_error", + "a6_error", + ] # matplotlib canvas kropff_high_plot = None @@ -184,7 +184,6 @@ class Interface(QMainWindow): march_dollase_plot = None def __init__(self, parent=None, working_dir="", o_bragg=None, spectra_file=None): - if o_bragg: # self.working_dir = o_bragg.working_dir self.o_norm = o_bragg.o_norm @@ -192,7 +191,7 @@ def __init__(self, parent=None, working_dir="", o_bragg=None, spectra_file=None) self.o_bragg = o_bragg show_selection_tab = True enabled_export_button = False - self.index_array = np.arange(len(self.o_norm.data['sample']['file_name'])) + self.index_array = np.arange(len(self.o_norm.data["sample"]["file_name"])) else: self.working_dir = working_dir show_selection_tab = False @@ -201,13 +200,18 @@ def __init__(self, parent=None, working_dir="", o_bragg=None, spectra_file=None) if spectra_file: self.spectra_file = spectra_file - display(HTML('Check UI that popped up \ - (maybe hidden behind this browser!)')) + display( + HTML( + 'Check UI that popped up \ + (maybe hidden behind this browser!)' + ) + ) super(Interface, self).__init__(parent) - ui_full_path = os.path.join(os.path.dirname(os.path.dirname(os.path.dirname(__file__))), - os.path.join('ui', - 'ui_bragg_edge_peak_fitting.ui')) + ui_full_path = os.path.join( + os.path.dirname(os.path.dirname(os.path.dirname(__file__))), + os.path.join("ui", "ui_bragg_edge_peak_fitting.ui"), + ) self.ui = load_ui(ui_full_path, baseinstance=self) self.setWindowTitle("Peak Fitting Tool") @@ -219,7 +223,7 @@ def __init__(self, parent=None, working_dir="", o_bragg=None, spectra_file=None) self.load_time_spectra() self.roi_moved() else: - o_init = Initialization(parent=self, tab='2') + o_init = Initialization(parent=self, tab="2") self.disable_left_part_of_selection_tab() self.ui.tabWidget.setEnabled(False) @@ -232,7 +236,7 @@ def __init__(self, parent=None, working_dir="", o_bragg=None, spectra_file=None) def retrieve_working_dir(self): o_norm = self.o_norm - file_path = o_norm.data['sample']['file_name'][0] + file_path = o_norm.data["sample"]["file_name"][0] return os.path.dirname(file_path) def load_time_spectra(self): @@ -257,18 +261,20 @@ def update_time_spectra(self): self.ui.statusbar.setStyleSheet("color: red") return - _exp = Experiment(tof=self.tof_array_s, - distance_source_detector_m=distance_source_detector_m, - detector_offset_micros=detector_offset_micros) + _exp = Experiment( + tof=self.tof_array_s, + distance_source_detector_m=distance_source_detector_m, + detector_offset_micros=detector_offset_micros, + ) self.lambda_array = _exp.lambda_array * 1e10 # to be in Angstroms def get_live_image(self): if DEBUGGING: - final_array = self.o_norm.data['sample']['data'] + final_array = self.o_norm.data["sample"]["data"] else: nbr_data_to_use = int(self.number_of_data_to_use_ui.value) - _data = self.o_norm.data['sample']['data'] + _data = self.o_norm.data["sample"]["data"] nbr_images = len(_data) list_of_indexes_to_keep = random.sample(list(range(nbr_images)), nbr_data_to_use) @@ -290,21 +296,21 @@ def roi_moved(self): def new_dimensions_within_error_range(self): """this method is used to check if the ROI sizes changed. We need an error uncertainties as sometimes the region varies by + or - 1 pixel when moving it around""" - error = 1 # # of pixel + error = 1 # # of pixel roi_id = self.roi_id - region = roi_id.getArraySlice(self.final_image, - self.ui.image_view.imageItem) + region = roi_id.getArraySlice(self.final_image, self.ui.image_view.imageItem) x0 = region[0][0].start x1 = region[0][0].stop y0 = region[0][1].start y1 = region[0][1].stop - new_width = x1-x0-1 - new_height = y1-y0-1 + new_width = x1 - x0 - 1 + new_height = y1 - y0 - 1 - if ((np.abs(new_width - int(self.ui.roi_width.text())) <= error) and - (np.abs(new_height) - int(self.ui.roi_height.text())) <= error): + if (np.abs(new_width - int(self.ui.roi_width.text())) <= error) and ( + np.abs(new_height) - int(self.ui.roi_height.text()) + ) <= error: return True return False @@ -320,19 +326,19 @@ def bragg_edge_range_changed(self): self.bragg_edge_range = [left_index, right_index] def reset_profile_of_bin_size_slider(self): - max_value = np.min([int(str(self.ui.profile_of_bin_size_width.text())), - int(str(self.ui.profile_of_bin_size_height.text()))]) + max_value = np.min( + [int(str(self.ui.profile_of_bin_size_width.text())), int(str(self.ui.profile_of_bin_size_height.text()))] + ) self.ui.profile_of_bin_size_slider.setMaximum(max_value) self.ui.profile_of_bin_size_slider.setValue(max_value) def selection_roi_slider_changed(self, new_value): if self.ui.square_roi_radiobutton.isChecked(): - mode = 'square' + mode = "square" else: - mode = 'free' + mode = "free" o_selection = BraggEdgeSelectionTab(parent=self) - o_selection.update_selection(new_value=new_value, - mode=mode) + o_selection.update_selection(new_value=new_value, mode=mode) def update_profile_of_bin_size_infos(self): _width = int(self.ui.roi_width.text()) @@ -361,25 +367,23 @@ def update_dict_profile_to_fit(self): o_selection = BraggEdgeSelectionTab(parent=self) [x0, y0, x1, y1] = o_selection.get_shrinking_roi_dimension() o_get = Get(parent=self) - profile = o_get.profile_of_roi(x0=x0, y0=y0, - x1=x1, y1=y1) + profile = o_get.profile_of_roi(x0=x0, y0=y0, x1=x1, y1=y1) - yaxis = profile[left_range: right_range] + yaxis = profile[left_range:right_range] all_x_axis = o_get.all_x_axis() - index_array = all_x_axis['index'][0] - tof_array = all_x_axis['tof'][0] - lambda_array = all_x_axis['lambda'][0] - - index_selected = index_array[left_range: right_range] - tof_selected = tof_array[left_range: right_range] - lambda_selected = lambda_array[left_range: right_range] - - profile_to_fit = {'yaxis': yaxis, - 'xaxis': {'index': index_selected, - 'tof': tof_selected, - 'lambda': lambda_selected}, - } + index_array = all_x_axis["index"][0] + tof_array = all_x_axis["tof"][0] + lambda_array = all_x_axis["lambda"][0] + + index_selected = index_array[left_range:right_range] + tof_selected = tof_array[left_range:right_range] + lambda_selected = lambda_array[left_range:right_range] + + profile_to_fit = { + "yaxis": yaxis, + "xaxis": {"index": index_selected, "tof": tof_selected, "lambda": lambda_selected}, + } self.dict_profile_to_fit = profile_to_fit def fit_that_selection_pushed_by_program(self, initialize_region=True): @@ -389,9 +393,9 @@ def fit_that_selection_pushed_by_program(self, initialize_region=True): o_init = PeakFittingInitialization(parent=self) fitting_input_dictionary = o_init.fitting_input_dictionary(nbr_rois=len(dict_regions)) - o_init.set_top_keys_values(fitting_input_dictionary, - {'xaxis': x_axis, - 'bragg_edge_range': self.bragg_edge_range}) + o_init.set_top_keys_values( + fitting_input_dictionary, {"xaxis": x_axis, "bragg_edge_range": self.bragg_edge_range} + ) self.append_dict_regions_to_fitting_input_dictionary(dict_regions, fitting_input_dictionary) # fitting_input_dictionary['xaxis'] = x_axis @@ -408,7 +412,7 @@ def fit_that_selection_pushed_by_program(self, initialize_region=True): if initialize_region: self.initialize_default_peak_regions() else: - if self.fitting_procedure_started['kropff']: + if self.fitting_procedure_started["kropff"]: o_kropff.fill_table_with_fitting_information() # o_march.fill_tables_with_fitting_information() @@ -424,7 +428,7 @@ def append_dict_regions_to_fitting_input_dictionary(self, dict_regions, fitting_ for _row in dict_regions.keys(): _entry = dict_regions[_row] for _key in _entry.keys(): - fitting_input_dictionary['rois'][_row][_key] = _entry[_key] + fitting_input_dictionary["rois"][_row][_key] = _entry[_key] def fit_that_selection_pushed(self): """this will create the fitting_input_dictionary and initialize the table""" @@ -432,10 +436,10 @@ def fit_that_selection_pushed(self): def initialize_default_peak_regions(self): [left_range, right_range] = self.bragg_edge_range - xaxis_dict = self.fitting_input_dictionary['xaxis'] - xaxis_index, _ = xaxis_dict['index'] + xaxis_dict = self.fitting_input_dictionary["xaxis"] + xaxis_index, _ = xaxis_dict["index"] [left_xaxis_index, right_xaxis_index] = self.bragg_edge_range - xaxis = xaxis_index[left_xaxis_index: right_xaxis_index] + xaxis = xaxis_index[left_xaxis_index:right_xaxis_index] left_index = find_nearest_index(array=xaxis, value=left_range) right_index = find_nearest_index(array=xaxis, value=right_range) @@ -448,8 +452,8 @@ def initialize_default_peak_regions(self): def profile_of_bin_size_slider_changed_after_import(self, new_value): dict_rois_imported = self.dict_rois_imported - new_width = dict_rois_imported[new_value]['width'] - new_height = dict_rois_imported[new_value]['height'] + new_width = dict_rois_imported[new_value]["width"] + new_height = dict_rois_imported[new_value]["height"] self.ui.profile_of_bin_size_height.setText(new_height) self.ui.profile_of_bin_size_width.setText(new_width) @@ -457,9 +461,9 @@ def profile_of_bin_size_slider_changed_after_import(self, new_value): o_selection.update_selection_plot() self.update_vertical_line_in_profile_plot() - self.update_kropff_fit_table_graph(fit_region='high') - self.update_kropff_fit_table_graph(fit_region='low') - self.update_kropff_fit_table_graph(fit_region='bragg_peak') + self.update_kropff_fit_table_graph(fit_region="high") + self.update_kropff_fit_table_graph(fit_region="low") + self.update_kropff_fit_table_graph(fit_region="bragg_peak") def profile_of_bin_size_slider_changed(self, new_value): o_selection = BraggEdgeSelectionTab(parent=self) @@ -472,15 +476,13 @@ def update_roi_defined_by_profile_of_bin_size_slider(self): def add_profile_to_dict_of_all_regions(self, dict_regions=None): for _key in dict_regions.keys(): current_region = dict_regions[_key] - x0 = current_region['x0'] - y0 = current_region['y0'] - width = current_region['width'] - height = current_region['height'] + x0 = current_region["x0"] + y0 = current_region["y0"] + width = current_region["width"] + height = current_region["height"] o_get = Get(parent=self) - profile = o_get.profile_of_roi(x0=x0, y0=y0, - x1=x0 + width, - y1=y0 + height) - current_region['profile'] = profile + profile = o_get.profile_of_roi(x0=x0, y0=y0, x1=x0 + width, y1=y0 + height) + current_region["profile"] = profile def select_first_row_of_all_fitting_table(self): self.ui.high_lda_tableWidget.selectRow(0) @@ -507,11 +509,11 @@ def update_fitting_plot(self): o_gui = GuiUtility(parent=self) algorithm_tab_selected = o_gui.get_tab_selected(tab_ui=self.ui.tab_algorithm) - if algorithm_tab_selected == 'Kropff': + if algorithm_tab_selected == "Kropff": o_kropff = Kropff(parent=self) o_kropff.update_fitting_plot() - elif algorithm_tab_selected == 'March-Dollase': + elif algorithm_tab_selected == "March-Dollase": o_march = MarchDollase(parent=self) o_march.update_fitting_plot() @@ -519,9 +521,9 @@ def fitting_range_changed(self): o_gui = GuiUtility(parent=self) algorithm_tab_selected = o_gui.get_tab_selected(tab_ui=self.ui.tab_algorithm) - if algorithm_tab_selected == 'Kropff': + if algorithm_tab_selected == "Kropff": self.kropff_fitting_range_changed() - elif algorithm_tab_selected == 'March-Dollase': + elif algorithm_tab_selected == "March-Dollase": self.march_dollase_fitting_range_changed() def kropff_fitting_range_changed(self): @@ -531,24 +533,24 @@ def kropff_fitting_range_changed(self): return [left_range, right_range] = list(self.fitting_peak_ui.getRegion()) - xaxis_dict = self.fitting_input_dictionary['xaxis'] + xaxis_dict = self.fitting_input_dictionary["xaxis"] o_get = Get(parent=self) x_axis_selected = o_get.x_axis_checked() xaxis_index, _ = xaxis_dict[x_axis_selected] [left_xaxis_index, right_xaxis_index] = self.bragg_edge_range - xaxis = xaxis_index[left_xaxis_index: right_xaxis_index] + xaxis = xaxis_index[left_xaxis_index:right_xaxis_index] left_index = find_nearest_index(array=xaxis, value=left_range) right_index = find_nearest_index(array=xaxis, value=right_range) global_left_index = find_nearest_index(array=xaxis, value=global_left_range) - global_left_index = 0 # for debugging + global_left_index = 0 # for debugging global_right_index = find_nearest_index(array=xaxis, value=global_right_range) - self.kropff_fitting_range['high'] = [right_index, global_right_index] - self.kropff_fitting_range['low'] = [global_left_index, left_index] - self.kropff_fitting_range['bragg_peak'] = [left_index, right_index] + self.kropff_fitting_range["high"] = [right_index, global_right_index] + self.kropff_fitting_range["low"] = [global_left_index, left_index] + self.kropff_fitting_range["bragg_peak"] = [left_index, right_index] self.bragg_peak_selection_range = [left_index, right_index] o_kropff = Kropff(parent=self) @@ -570,16 +572,13 @@ def update_vertical_line_in_profile_plot(self): o_get = Get(parent=self) x_axis, x_axis_label = o_get.x_axis() - bragg_edge_range = [x_axis[self.bragg_edge_range[0]], - x_axis[self.bragg_edge_range[1]]] + bragg_edge_range = [x_axis[self.bragg_edge_range[0]], x_axis[self.bragg_edge_range[1]]] if self.bragg_edge_range_ui: self.ui.profile.removeItem(self.bragg_edge_range_ui) - self.bragg_edge_range_ui = pg.LinearRegionItem(values=bragg_edge_range, - orientation=None, - brush=None, - movable=True, - bounds=None) + self.bragg_edge_range_ui = pg.LinearRegionItem( + values=bragg_edge_range, orientation=None, brush=None, movable=True, bounds=None + ) self.bragg_edge_range_ui.sigRegionChanged.connect(self.bragg_edge_range_changed) self.bragg_edge_range_ui.setZValue(-10) self.ui.profile.addItem(self.bragg_edge_range_ui) @@ -603,15 +602,17 @@ def full_reset_of_ui(self): o_table.remove_all_rows() def block_table_ui(self, flag): - list_ui = [self.ui.high_lda_tableWidget, - self.ui.low_lda_tableWidget, - self.ui.bragg_edge_tableWidget, - self.ui.march_dollase_result_table] + list_ui = [ + self.ui.high_lda_tableWidget, + self.ui.low_lda_tableWidget, + self.ui.bragg_edge_tableWidget, + self.ui.march_dollase_result_table, + ] for _ui in list_ui: _ui.blockSignals(flag) def is_fit_infos_loaded(self): - if 'fit_infos' in self.fitting_input_dictionary.keys(): + if "fit_infos" in self.fitting_input_dictionary.keys(): return True return False @@ -627,18 +628,16 @@ def export_button_clicked(self): def roi_radiobuttons_changed(self): if self.ui.square_roi_radiobutton.isChecked(): slider_visible = True - new_width = np.min([int(str(self.ui.roi_width.text())), - int(str(self.ui.roi_height.text()))]) - mode = 'square' + new_width = np.min([int(str(self.ui.roi_width.text())), int(str(self.ui.roi_height.text()))]) + mode = "square" else: slider_visible = False new_width = int(str(self.ui.roi_width.text())) self.selection_roi_slider_changed(new_width) - mode = 'free' + mode = "free" o_selection = BraggEdgeSelectionTab(parent=self) - o_selection.update_selection(new_value=new_width, - mode=mode) + o_selection.update_selection(new_value=new_width, mode=mode) self.ui.roi_size_slider.setVisible(slider_visible) @@ -667,36 +666,36 @@ def fit_kropff_button_pushed(self): self.ui.statusbar.setStyleSheet("color: blue") self.ui.statusbar.showMessage("Fitting Done!", 1000) # 10s - self.fitting_procedure_started['kropff'] = True + self.fitting_procedure_started["kropff"] = True def kropff_fit_high_lambda_region_clicked(self): - self.switch_fitting_axis_to('lambda') + self.switch_fitting_axis_to("lambda") o_fit = KropffFittingJobHandler(parent=self) - o_fit.prepare(kropff_tooldbox='high') + o_fit.prepare(kropff_tooldbox="high") o_fit.run_kropff_high_lambda(update_table_ui=True) self.update_fitting_plot() - self.update_kropff_fit_table_graph(fit_region='high') + self.update_kropff_fit_table_graph(fit_region="high") def kropff_fit_low_lambda_region_clicked(self): - self.switch_fitting_axis_to('lambda') + self.switch_fitting_axis_to("lambda") o_fit = KropffFittingJobHandler(parent=self) - o_fit.prepare(kropff_tooldbox='low') + o_fit.prepare(kropff_tooldbox="low") o_fit.run_kropff_low_lambda(update_table_ui=True) self.update_fitting_plot() - self.update_kropff_fit_table_graph(fit_region='low') + self.update_kropff_fit_table_graph(fit_region="low") def kropff_fit_bragg_peak_region_clicked(self): self.kropff_fit_bragg_peak_region_of_selected_rows() def kropff_fit_bragg_peak_region_of_selected_rows(self, list_row_to_fit=None): - self.switch_fitting_axis_to('lambda') + self.switch_fitting_axis_to("lambda") o_fit = KropffFittingJobHandler(parent=self) - o_fit.prepare(kropff_tooldbox='bragg_peak') + o_fit.prepare(kropff_tooldbox="bragg_peak") o_fit.run_bragg_peak(update_table_ui=True, list_row_to_fit=list_row_to_fit) self.update_fitting_plot() - self.update_kropff_fit_table_graph(fit_region='bragg_peak') + self.update_kropff_fit_table_graph(fit_region="bragg_peak") - def update_kropff_fit_table_graph(self, fit_region='high'): + def update_kropff_fit_table_graph(self, fit_region="high"): """ update the plot of the fit parameters selected :param fit_region: 'high', 'low' or 'bragg_peak' @@ -706,25 +705,26 @@ def update_kropff_fit_table_graph(self, fit_region='high'): parameter_array = [] parameter_error_array = [] fitting_input_dictionary = self.fitting_input_dictionary - for _index in fitting_input_dictionary['rois'].keys(): - _parameter = fitting_input_dictionary['rois'][_index]['fitting']['kropff'][fit_region][fit_parameter_selected] - _error = fitting_input_dictionary['rois'][_index]['fitting']['kropff'][fit_region]["{}_error".format(fit_parameter_selected)] + for _index in fitting_input_dictionary["rois"].keys(): + _parameter = fitting_input_dictionary["rois"][_index]["fitting"]["kropff"][fit_region][ + fit_parameter_selected + ] + _error = fitting_input_dictionary["rois"][_index]["fitting"]["kropff"][fit_region][ + f"{fit_parameter_selected}_error" + ] parameter_array.append(_parameter) parameter_error_array.append(_error) plot_ui = o_gui.get_kropff_fit_graph_ui(fit_region=fit_region) x_array = np.arange(len(parameter_array)) - cleaned_parameter_array, cleaned_parameter_error_array = \ - exclude_y_value_when_error_is_nan(parameter_array, - parameter_error_array) + cleaned_parameter_array, cleaned_parameter_error_array = exclude_y_value_when_error_is_nan( + parameter_array, parameter_error_array + ) plot_ui.axes.cla() - if fit_region == 'bragg_peak': + if fit_region == "bragg_peak": plot_ui.axes.set_yscale("log") - plot_ui.axes.errorbar(x_array, - cleaned_parameter_array, - cleaned_parameter_error_array, - marker='s') + plot_ui.axes.errorbar(x_array, cleaned_parameter_array, cleaned_parameter_error_array, marker="s") plot_ui.axes.set_xlabel("Row # (see Table tab)") plot_ui.draw() @@ -735,23 +735,23 @@ def kropff_bragg_peak_selection_mode_changed(self): self.ui.bragg_edge_tableWidget.setSelectionMode(2) self.update_fitting_plot() - def switch_fitting_axis_to(self, button_name='tof'): - if button_name == 'tof': + def switch_fitting_axis_to(self, button_name="tof"): + if button_name == "tof": self.ui.fitting_tof_radiobutton.setChecked(True) - elif button_name == 'lambda': + elif button_name == "lambda": self.ui.fitting_lambda_radiobutton.setChecked(True) else: self.ui.fitting_index_radiobutton.setChecked(True) self.fitting_axis_changed() def update_kropff_high_plot(self): - self.update_kropff_fit_table_graph(fit_region='high') + self.update_kropff_fit_table_graph(fit_region="high") def update_kropff_low_plot(self): - self.update_kropff_fit_table_graph(fit_region='low') + self.update_kropff_fit_table_graph(fit_region="low") def update_kropff_bragg_peak_plot(self): - self.update_kropff_fit_table_graph(fit_region='bragg_peak') + self.update_kropff_fit_table_graph(fit_region="bragg_peak") def kropff_bragg_peak_right_click(self, position): o_kropff = Kropff(parent=self) @@ -767,7 +767,7 @@ def march_dollase_table_state_changed(self, state=None, row=None, column=None): _textedit.setVisible(not state) elif column == 0: _label = _widget - _label.setText("{:0.6f}".format(float(o_march.get_initial_parameter_value(column=column)))) + _label.setText(f"{float(o_march.get_initial_parameter_value(column=column)):0.6f}") _label.setVisible(not state) else: _label = _widget diff --git a/notebooks/__code/bragg_edge/bragg_edge_peak_fitting_gui_utility.py b/notebooks/__code/bragg_edge/bragg_edge_peak_fitting_gui_utility.py index 507ea802..31eabe24 100755 --- a/notebooks/__code/bragg_edge/bragg_edge_peak_fitting_gui_utility.py +++ b/notebooks/__code/bragg_edge/bragg_edge_peak_fitting_gui_utility.py @@ -1,5 +1,5 @@ import numpy as np -from qtpy.QtWidgets import QHBoxLayout, QCheckBox, QLineEdit, QVBoxLayout, QWidget, QLabel +from qtpy.QtWidgets import QCheckBox, QHBoxLayout, QLabel, QLineEdit, QVBoxLayout, QWidget from __code.table_handler import TableHandler @@ -43,13 +43,12 @@ def update_kropff_low_lambda_table_ui(self, row=0, ahkl=None, bhkl=None, ahkl_er table_ui.item(row, 3).setText(self.cell_str_format.format(ahkl_error)) table_ui.item(row, 4).setText(self.cell_str_format.format(bhkl_error)) - def update_kropff_bragg_edge_table_ui(self, row=0, ldahkl=None, ldahkl_error=None, - tau=None, tau_error=None, - sigma=None, sigma_error=None): - - ldahkl_error = np.NaN if ldahkl_error is None else ldahkl_error - tau_error = np.NaN if tau_error is None else tau_error - sigma_error = np.NaN if sigma_error is None else sigma_error + def update_kropff_bragg_edge_table_ui( + self, row=0, ldahkl=None, ldahkl_error=None, tau=None, tau_error=None, sigma=None, sigma_error=None + ): + ldahkl_error = np.nan if ldahkl_error is None else ldahkl_error + tau_error = np.nan if tau_error is None else tau_error + sigma_error = np.nan if sigma_error is None else sigma_error table_ui = self.parent.ui.bragg_edge_tableWidget table_ui.item(row, 1).setText(self.cell_str_format_2.format(ldahkl)) @@ -72,36 +71,44 @@ def check_status_of_kropff_fitting_buttons(self): # if self.parent.fitting_input_dictionary['rois'][0]['fitting']['kropff']['low']['ahkl']: # enabled_bragg_peak_button = True - def get_kropff_fit_parameter_selected(self, fit_region='high'): + def get_kropff_fit_parameter_selected(self, fit_region="high"): """ return the name of the button checked in the requested tab (kropff fit) for example: a0 if high lambda and first radioButton checked :param fit_region: name of the region ('high', 'low' or 'bragg_peak') :return: """ - list_fit_parameters_radio_button = {'high' : {'ui' : [self.parent.ui.kropff_a0_radioButton, - self.parent.ui.kropff_b0_radioButton], - 'name': ['a0', 'b0']}, - 'low' : {'ui' : [self.parent.ui.kropff_ahkl_radioButton, - self.parent.ui.kropff_bhkl_radioButton], - 'name': ['ahkl', 'bhkl']}, - 'bragg_peak': {'ui' : [self.parent.ui.kropff_lda_hkl_radioButton, - self.parent.ui.kropff_tau_radioButton, - self.parent.ui.kropff_sigma_radioButton], - 'name': ['ldahkl', 'tau', 'sigma'], - }, - } - - for _index, _ui in enumerate(list_fit_parameters_radio_button[fit_region]['ui']): + list_fit_parameters_radio_button = { + "high": { + "ui": [self.parent.ui.kropff_a0_radioButton, self.parent.ui.kropff_b0_radioButton], + "name": ["a0", "b0"], + }, + "low": { + "ui": [self.parent.ui.kropff_ahkl_radioButton, self.parent.ui.kropff_bhkl_radioButton], + "name": ["ahkl", "bhkl"], + }, + "bragg_peak": { + "ui": [ + self.parent.ui.kropff_lda_hkl_radioButton, + self.parent.ui.kropff_tau_radioButton, + self.parent.ui.kropff_sigma_radioButton, + ], + "name": ["ldahkl", "tau", "sigma"], + }, + } + + for _index, _ui in enumerate(list_fit_parameters_radio_button[fit_region]["ui"]): if _ui.isChecked(): - return list_fit_parameters_radio_button[fit_region]['name'][_index] + return list_fit_parameters_radio_button[fit_region]["name"][_index] return None - def get_kropff_fit_graph_ui(self, fit_region='high'): - list_ui = {'high' : self.parent.kropff_high_plot, - 'low' : self.parent.kropff_low_plot, - 'bragg_peak': self.parent.kropff_bragg_peak_plot} + def get_kropff_fit_graph_ui(self, fit_region="high"): + list_ui = { + "high": self.parent.kropff_high_plot, + "low": self.parent.kropff_low_plot, + "bragg_peak": self.parent.kropff_bragg_peak_plot, + } return list_ui[fit_region] def get_table_str_item(self, table_ui=None, row=0, column=0): @@ -112,7 +119,6 @@ def get_table_str_item(self, table_ui=None, row=0, column=0): return "" def fill_march_dollase_table(self, list_state=None, initial_parameters=None): - table_ui = self.parent.ui.march_dollase_user_input_table o_table = TableHandler(table_ui=table_ui) o_table.remove_all_rows() @@ -120,14 +126,13 @@ def fill_march_dollase_table(self, list_state=None, initial_parameters=None): if not list_state: return - march_dollase_row_height = {0 : 110, - 'other': 60} + march_dollase_row_height = {0: 110, "other": 60} nbr_column = len(list_state[0]) for _row in np.arange(len(list_state)): self.parent.ui.march_dollase_user_input_table.insertRow(_row) - row_height = march_dollase_row_height[0] if _row == 0 else march_dollase_row_height['other'] + row_height = march_dollase_row_height[0] if _row == 0 else march_dollase_row_height["other"] table_ui.setRowHeight(_row, row_height) for _col in np.arange(nbr_column): @@ -138,10 +143,11 @@ def fill_march_dollase_table(self, list_state=None, initial_parameters=None): hori_layout = QHBoxLayout() _checkbox = QCheckBox() _checkbox.setChecked(_state_col) - _checkbox.stateChanged.connect(lambda state=0, row=_row, column=_col: - self.parent.march_dollase_table_state_changed(state=state, - row=row, - column=column)) + _checkbox.stateChanged.connect( + lambda state=0, row=_row, column=_col: self.parent.march_dollase_table_state_changed( + state=state, row=row, column=column + ) + ) hori_layout.addStretch() hori_layout.addWidget(_checkbox) hori_layout.addStretch() @@ -154,16 +160,17 @@ def fill_march_dollase_table(self, list_state=None, initial_parameters=None): if (_col == 1) or (_col == 2): _input = QLineEdit() - _input.returnPressed.connect(lambda column=_col: - self.parent.march_dollase_table_init_value_changed(column=column)) + _input.returnPressed.connect( + lambda column=_col: self.parent.march_dollase_table_init_value_changed(column=column) + ) _input.setText(str(initial_parameters[parameter_key])) verti_layout.addWidget(_input) _input.setVisible(not _state_col) - elif (_col == 0): + elif _col == 0: _label = QLabel() try: - str_format = "{:0.6f}".format(float(initial_parameters[parameter_key])) + str_format = f"{float(initial_parameters[parameter_key]):0.6f}" except ValueError: str_format = initial_parameters[parameter_key] diff --git a/notebooks/__code/bragg_edge/bragg_edge_raw_sample_and_powder.py b/notebooks/__code/bragg_edge/bragg_edge_raw_sample_and_powder.py index dd9ab85e..876ca6ea 100755 --- a/notebooks/__code/bragg_edge/bragg_edge_raw_sample_and_powder.py +++ b/notebooks/__code/bragg_edge/bragg_edge_raw_sample_and_powder.py @@ -1,31 +1,28 @@ -import random -import os import glob +import logging +import os +import random from pathlib import Path -from IPython.display import HTML -from IPython.display import display + import numpy as np -from plotly.offline import iplot import plotly.graph_objs as go +from IPython.display import HTML, display from ipywidgets import widgets -import logging - -from neutronbraggedge.experiment_handler import * from NeuNorm.normalization import Normalization from NeuNorm.roi import ROI +from neutronbraggedge.experiment_handler import * +from plotly.offline import iplot -from __code import file_handler +from __code import file_handler, ipywe +from __code._utilities.file import get_full_home_file_name from __code.bragg_edge.bragg_edge import BraggEdge as BraggEdgeParent from __code.bragg_edge.bragg_edge import Interface from __code.file_folder_browser import FileFolderBrowser -from __code import ipywe -from __code._utilities.file import get_full_home_file_name LOG_FILE_NAME = ".bragg_edge_raw_sample_and_powder.log" class BraggEdge(BraggEdgeParent): - o_interface = None select_ob_widget = None @@ -33,48 +30,56 @@ def __init__(self, working_dir="./"): super(BraggEdge, self).__init__(working_dir=working_dir) self.log_file_name = get_full_home_file_name(LOG_FILE_NAME) - logging.basicConfig(filename=self.log_file_name, - filemode='w', - format='[%(levelname)s] - %(asctime)s - %(message)s', - level=logging.INFO) + logging.basicConfig( + filename=self.log_file_name, + filemode="w", + format="[%(levelname)s] - %(asctime)s - %(message)s", + level=logging.INFO, + ) logging.info("*** Starting a new session ***") def load_data(self, folder_selected): - logging.info(f"Loading data from {folder_selected}") self.o_norm = Normalization() - self.load_files(data_type='sample', folder=folder_selected) + self.load_files(data_type="sample", folder=folder_selected) # define time spectra file - folder = os.path.dirname(self.o_norm.data['sample']['file_name'][0]) - self.list_files = self.o_norm.data['sample']['file_name'] - self.data = self.o_norm.data['sample']['data'] + folder = os.path.dirname(self.o_norm.data["sample"]["file_name"][0]) + self.list_files = self.o_norm.data["sample"]["file_name"] + self.data = self.o_norm.data["sample"]["data"] self.data_folder_name = os.path.basename(folder) - spectra_file = glob.glob(os.path.join(folder, '*_Spectra.txt')) + spectra_file = glob.glob(os.path.join(folder, "*_Spectra.txt")) logging.info(f"> looking for spectra file: {spectra_file}") if spectra_file: - logging.info(f"-> spectra file FOUND!") + logging.info("-> spectra file FOUND!") self.spectra_file = spectra_file[0] - display(HTML(' Spectra File automatically located: ' + \ - self.spectra_file + '')) + display( + HTML( + ' Spectra File automatically located: ' + + self.spectra_file + + "" + ) + ) else: # ask for spectra file - logging.info(f"-> spectra file NOT FOUND! Asking user to select time spectra file") + logging.info("-> spectra file NOT FOUND! Asking user to select time spectra file") self.select_time_spectra_file() def select_time_spectra_file(self): self.working_dir = os.path.dirname(self.list_files[0]) - self.time_spectra_ui = ipywe.fileselector.FileSelectorPanel(instruction='Select Time Spectra File ...', - start_dir=self.working_dir, - next=self.save_time_spectra, - filters={'spectra_file': "_Spectra.txt"}, - multiple=False) + self.time_spectra_ui = ipywe.fileselector.FileSelectorPanel( + instruction="Select Time Spectra File ...", + start_dir=self.working_dir, + next=self.save_time_spectra, + filters={"spectra_file": "_Spectra.txt"}, + multiple=False, + ) self.time_spectra_ui.show() - self.cancel_button = widgets.Button(description="or Do Not Select any Time Spectra", - button_style="info", - layout=widgets.Layout(width='100%')) + self.cancel_button = widgets.Button( + description="or Do Not Select any Time Spectra", button_style="info", layout=widgets.Layout(width="100%") + ) display(self.cancel_button) self.cancel_button.on_click(self.cancel_time_spectra_selection) @@ -84,45 +89,52 @@ def save_time_spectra(self, file): self.cancel_button.close() def cancel_time_spectra_selection(self, value): - logging.info(f"User cancel loading time spectra!") + logging.info("User cancel loading time spectra!") self.time_spectra_ui.remove() self.cancel_button.close() display(HTML('NO Spectra File loaded! ')) - def load_files(self, data_type='sample', folder=None): + def load_files(self, data_type="sample", folder=None): self.starting_dir = os.path.dirname(folder) - if data_type == 'sample': + if data_type == "sample": self.data_folder_name = os.path.basename(folder) - list_files = glob.glob(os.path.join(folder, '*.fits')) + list_files = glob.glob(os.path.join(folder, "*.fits")) if list_files == []: - list_files = glob.glob(os.path.join(folder, '*.tif*')) + list_files = glob.glob(os.path.join(folder, "*.tif*")) else: # fits # keep only files of interest - list_files = [file for file in list_files if not "_SummedImg.fits" in file] + list_files = [file for file in list_files if "_SummedImg.fits" not in file] list_files = [file for file in list_files if ".fits" in file] # sort list of files list_files.sort() - logging.info(f"load files:") + logging.info("load files:") logging.info(f"-> data type: {data_type}") logging.info(f"-> nbr of files: {len(list_files)}") o_norm = Normalization() o_norm.load(file=list_files, notebook=True, data_type=data_type) - if data_type == 'sample': + if data_type == "sample": self.o_norm = o_norm - elif data_type == 'ob': - self.o_norm.data['ob'] = o_norm.data['ob'] - - display(HTML('' + str(len(list_files)) + \ - ' files have been loaded as ' + data_type + '')) + elif data_type == "ob": + self.o_norm.data["ob"] = o_norm.data["ob"] + + display( + HTML( + '' + + str(len(list_files)) + + " files have been loaded as " + + data_type + + "" + ) + ) def get_nbr_of_images_to_use_in_preview(self): - nbr_images = len(self.o_norm.data['sample']['data']) + nbr_images = len(self.o_norm.data["sample"]["data"]) init_value = int(nbr_images / 10) if init_value == 0: init_value = 1 @@ -132,57 +144,53 @@ def normalization_settings_widgets(self): # with ob ## button - self.select_ob_widget = widgets.Button(description="Select OB ...", - button_style="success", - layout=widgets.Layout(width="100%")) + self.select_ob_widget = widgets.Button( + description="Select OB ...", button_style="success", layout=widgets.Layout(width="100%") + ) self.select_ob_widget.on_click(self.select_ob_folder) ## space spacer = widgets.HTML(value="
") ## nbr of images to use - nbr_images_to_use_label = widgets.Label("Nbr of images to use in preview", - layout=widgets.Layout(width="20%")) + nbr_images_to_use_label = widgets.Label("Nbr of images to use in preview", layout=widgets.Layout(width="20%")) nbr_of_images_to_use_in_preview = self.get_nbr_of_images_to_use_in_preview() - self.nbr_images_slider_with_ob = widgets.IntSlider(min=2, - max=len(self.list_files), - value=nbr_of_images_to_use_in_preview, - layout=widgets.Layout(width="80%")) + self.nbr_images_slider_with_ob = widgets.IntSlider( + min=2, max=len(self.list_files), value=nbr_of_images_to_use_in_preview, layout=widgets.Layout(width="80%") + ) hbox_1 = widgets.HBox([nbr_images_to_use_label, self.nbr_images_slider_with_ob]) - self.select_roi_widget_with_ob = widgets.Button(description="OPTIONAL: Select Region of interest away from " - "sample " - "to " - "improve normalization", - layout=widgets.Layout(width="100%")) + self.select_roi_widget_with_ob = widgets.Button( + description="OPTIONAL: Select Region of interest away from " "sample " "to " "improve normalization", + layout=widgets.Layout(width="100%"), + ) self.select_roi_widget_with_ob.on_click(self.select_roi_with_ob) - vbox_with_ob = widgets.VBox([self.select_ob_widget, - spacer, - hbox_1, - spacer, - self.select_roi_widget_with_ob, - ]) + vbox_with_ob = widgets.VBox( + [ + self.select_ob_widget, + spacer, + hbox_1, + spacer, + self.select_roi_widget_with_ob, + ] + ) # without ob ## nbr of images to use - self.nbr_images_slider_without_ob = widgets.IntSlider(min=2, - max=len(self.list_files), - value=nbr_of_images_to_use_in_preview, - layout=widgets.Layout(width="80%")) + self.nbr_images_slider_without_ob = widgets.IntSlider( + min=2, max=len(self.list_files), value=nbr_of_images_to_use_in_preview, layout=widgets.Layout(width="80%") + ) hbox_without_ob = widgets.HBox([nbr_images_to_use_label, self.nbr_images_slider_without_ob]) - select_roi_widget_without_ob = widgets.Button(description="MANDATORY: Select region of interest " - "away from " - "sample", - button_style="success", - layout=widgets.Layout(width="100%")) + select_roi_widget_without_ob = widgets.Button( + description="MANDATORY: Select region of interest " "away from " "sample", + button_style="success", + layout=widgets.Layout(width="100%"), + ) select_roi_widget_without_ob.on_click(self.select_roi_without_ob) - vbox_without_ob = widgets.VBox([hbox_without_ob, - spacer, - select_roi_widget_without_ob - ]) + vbox_without_ob = widgets.VBox([hbox_without_ob, spacer, select_roi_widget_without_ob]) self.accordion = widgets.Accordion(children=[vbox_with_ob, vbox_without_ob]) self.accordion.set_title(0, "With OB") @@ -198,9 +206,11 @@ def select_roi_without_ob(self, status): self.select_roi(nbr_data_to_use=nbr_data_to_use) def select_roi(self, nbr_data_to_use=2): - self.o_interface = Interface(data=self.get_image_to_use_for_display(nbr_data_to_use=nbr_data_to_use), - instruction="Select region outside sample!", - next=self.after_selecting_roi) + self.o_interface = Interface( + data=self.get_image_to_use_for_display(nbr_data_to_use=nbr_data_to_use), + instruction="Select region outside sample!", + next=self.after_selecting_roi, + ) self.o_interface.show() def after_selecting_roi(self): @@ -212,58 +222,63 @@ def after_selecting_roi(self): self.select_roi_widget_without_ob.button_style = "" def select_ob_folder(self, status=None): - select_data = ipywe.fileselector.FileSelectorPanel(instruction='Select OB Folder ...', - start_dir=self.starting_dir, - next=self.load_ob, - type='directory', - multiple=False) + select_data = ipywe.fileselector.FileSelectorPanel( + instruction="Select OB Folder ...", + start_dir=self.starting_dir, + next=self.load_ob, + type="directory", + multiple=False, + ) select_data.show() def load_ob(self, folder_selected): - self.load_files(data_type='ob', folder=folder_selected) + self.load_files(data_type="ob", folder=folder_selected) self.check_data_array_sizes() if self.select_ob_widget: self.select_ob_widget.button_style = "" self.select_roi_widget_with_ob.button_style = "success" def check_data_array_sizes(self): - len_ob = len(self.o_norm.data['ob']['file_name']) - len_sample = len(self.o_norm.data['sample']['file_name']) + len_ob = len(self.o_norm.data["ob"]["file_name"]) + len_sample = len(self.o_norm.data["sample"]["file_name"]) if len_ob == len_sample: display(HTML(' Sample and OB have the same size!')) return if len_ob < len_sample: - self.o_norm.data['sample']['data'] = self.o_norm.data['sample']['data'][0:len_ob] - self.o_norm.data['sample']['file_name'] = self.o_norm.data['sample']['file_name'][0:len_ob] + self.o_norm.data["sample"]["data"] = self.o_norm.data["sample"]["data"][0:len_ob] + self.o_norm.data["sample"]["file_name"] = self.o_norm.data["sample"]["file_name"][0:len_ob] display(HTML(' Truncated Sample array to match OB!')) else: - self.o_norm.data['ob']['data'] = self.o_norm.data['ob']['data'][0:len_sample] - self.o_norm.data['ob']['file_name'] = self.o_norm.data['ob']['file_name'][0:len_sample] + self.o_norm.data["ob"]["data"] = self.o_norm.data["ob"]["data"][0:len_sample] + self.o_norm.data["ob"]["file_name"] = self.o_norm.data["ob"]["file_name"][0:len_sample] display(HTML(' Truncated OB array to match Sample!')) def load_time_spectra(self): _tof_handler = TOF(filename=self.spectra_file) - _exp = Experiment(tof=_tof_handler.tof_array, - distance_source_detector_m=float(self.dSD_ui.value), - detector_offset_micros=float(self.detector_offset_ui.value)) + _exp = Experiment( + tof=_tof_handler.tof_array, + distance_source_detector_m=float(self.dSD_ui.value), + detector_offset_micros=float(self.detector_offset_ui.value), + ) - nbr_sample = len(self.o_norm.data['sample']['file_name']) + nbr_sample = len(self.o_norm.data["sample"]["file_name"]) - self.lambda_array = _exp.lambda_array[0: nbr_sample] * 1e10 # to be in Angstroms - self.tof_array = _tof_handler.tof_array[0: nbr_sample] + self.lambda_array = _exp.lambda_array[0:nbr_sample] * 1e10 # to be in Angstroms + self.tof_array = _tof_handler.tof_array[0:nbr_sample] def how_many_data_to_use_to_select_sample_roi(self): - nbr_images = len(self.o_norm.data['sample']['data']) + nbr_images = len(self.o_norm.data["sample"]["data"]) init_value = int(nbr_images / 10) if init_value == 0: init_value = 1 - box1 = widgets.HBox([widgets.Label("Nbr of images to use:", - layout=widgets.Layout(width='15')), - widgets.IntSlider(value=init_value, - max=nbr_images, - min=1)]) + box1 = widgets.HBox( + [ + widgets.Label("Nbr of images to use:", layout=widgets.Layout(width="15")), + widgets.IntSlider(value=init_value, max=nbr_images, min=1), + ] + ) # layout=widgets.Layout(width='50%'))]) box2 = widgets.Label("(The more you select, the longer it will take to display the preview!)") vbox = widgets.VBox([box1, box2]) @@ -271,7 +286,7 @@ def how_many_data_to_use_to_select_sample_roi(self): self.number_of_data_to_use_ui = box1.children[1] def get_image_to_use_for_display(self, nbr_data_to_use=2): - _data = self.o_norm.data['sample']['data'] + _data = self.o_norm.data["sample"]["data"] nbr_images = len(_data) list_of_indexes_to_keep = random.sample(list(range(nbr_images)), nbr_data_to_use) @@ -296,23 +311,18 @@ def normalization(self, o_background=None): list_o_roi = [] for key in list_rois.keys(): roi = list_rois[key] - _x0 = roi['x0'] - _y0 = roi['y0'] - _x1 = roi['x1'] - _y1 = roi['y1'] + _x0 = roi["x0"] + _y0 = roi["y0"] + _x1 = roi["x1"] + _y1 = roi["y1"] - list_o_roi.append(ROI(x0=_x0, - y0=_y0, - x1=_x1, - y1=_y1)) + list_o_roi.append(ROI(x0=_x0, y0=_y0, x1=_x1, y1=_y1)) logging.info(f"-> Normalization with {len(list_o_roi)} ROIs") - self.o_norm.normalization(roi=list_o_roi, - notebook=True, - force=True) + self.o_norm.normalization(roi=list_o_roi, notebook=True, force=True) display(HTML(' Normalization DONE! ')) - logging.info(f"-> Done!") + logging.info("-> Done!") # def normalization_without_ob(self, list_rois): # logging.info("Running normalization without OB") @@ -370,57 +380,60 @@ def normalization(self, o_background=None): # logging.info(f"-> Done!") def export_normalized_data(self): - self.o_folder = FileFolderBrowser(working_dir=self.working_dir, - next_function=self.export_normalized_data_step2, - ipts_folder=self.ipts_folder) + self.o_folder = FileFolderBrowser( + working_dir=self.working_dir, next_function=self.export_normalized_data_step2, ipts_folder=self.ipts_folder + ) self.o_folder.select_output_folder_with_new(instruction="Select where to create the normalized data ...") def export_normalized_data_step2(self, output_folder): - logging.info(f"export normalized data") + logging.info("export normalized data") logging.info(f"-> output_folder: {output_folder}") output_folder = os.path.abspath(output_folder) self.o_folder.list_output_folders_ui.shortcut_buttons.close() - normalized_export_folder = str(Path(output_folder) / (self.data_folder_name + '_normalized')) + normalized_export_folder = str(Path(output_folder) / (self.data_folder_name + "_normalized")) file_handler.make_or_reset_folder(normalized_export_folder) self.o_norm.export(folder=normalized_export_folder) - display(HTML(' Created the normalized data in the folder ' + - normalized_export_folder + '')) + display( + HTML( + ' Created the normalized data in the folder ' + + normalized_export_folder + + "" + ) + ) if self.spectra_file: - logging.info(f"-> time spectra copied to output folder!") - file_handler.copy_files_to_folder(list_files=[self.spectra_file], - output_folder=normalized_export_folder) + logging.info("-> time spectra copied to output folder!") + file_handler.copy_files_to_folder(list_files=[self.spectra_file], output_folder=normalized_export_folder) display(HTML(' Copied time spectra file to same folder ')) else: - logging.info(f"->No time spectra copied!") + logging.info("->No time spectra copied!") def calculate_counts_vs_file_index_of_regions_selected(self, list_roi=None): self.list_roi = list_roi normalized_data = self.o_norm.get_normalized_data() nbr_data = len(normalized_data) - box_ui = widgets.HBox([widgets.Label("Calculate Counts vs lambda", - layout=widgets.Layout(width='20%')), - widgets.IntProgress(min=0, - max=nbr_data, - value=0, - layout=widgets.Layout(width='50%'))]) + box_ui = widgets.HBox( + [ + widgets.Label("Calculate Counts vs lambda", layout=widgets.Layout(width="20%")), + widgets.IntProgress(min=0, max=nbr_data, value=0, layout=widgets.Layout(width="50%")), + ] + ) progress_bar = box_ui.children[1] display(box_ui) counts_vs_file_index = [] for _index, _data in enumerate(normalized_data): - if len(list_roi) == 0: _array_data = _data else: _array_data = [] for _roi in list_roi.keys(): - x0 = int(list_roi[_roi]['x0']) - y0 = int(list_roi[_roi]['y0']) - x1 = int(list_roi[_roi]['x1']) - y1 = int(list_roi[_roi]['y1']) + x0 = int(list_roi[_roi]["x0"]) + y0 = int(list_roi[_roi]["y0"]) + x1 = int(list_roi[_roi]["x1"]) + y1 = int(list_roi[_roi]["y1"]) _array_data.append(np.nanmean(_data[y0:y1, x0:x1])) @@ -432,20 +445,13 @@ def calculate_counts_vs_file_index_of_regions_selected(self, list_roi=None): box_ui.close() def plot(self): - trace = go.Scatter( - x=self.lambda_array, - y=self.counts_vs_file_index, - mode='markers') + trace = go.Scatter(x=self.lambda_array, y=self.counts_vs_file_index, mode="markers") layout = go.Layout( - height=500, - title="Average transmission vs TOF (of entire images, or of selected region if any)", - xaxis=dict( - title="Lambda (Angstroms)" - ), - yaxis=dict( - title="Average Transmission" - ), + height=500, + title="Average transmission vs TOF (of entire images, or of selected region if any)", + xaxis=dict(title="Lambda (Angstroms)"), + yaxis=dict(title="Average Transmission"), ) data = [trace] @@ -474,59 +480,53 @@ def plot(self): continue if _value < min_x: continue - bragg_line = {"type": "line", - 'x0' : _value, - 'x1' : _value, - 'yref': "paper", - 'y0' : 0, - 'y1' : 1, - 'line': { - 'color': 'rgb(255, 0, 0)', - 'width': 1 - }} + bragg_line = { + "type": "line", + "x0": _value, + "x1": _value, + "yref": "paper", + "y0": 0, + "y1": 1, + "line": {"color": "rgb(255, 0, 0)", "width": 1}, + } figure.add_shape(bragg_line) # layout.shapes.append(bragg_line) y_off = 1 - 0.25 * y_index # add labels to plots _annot = dict( - x=_value, - y=y_off, - text=_hkl_formated[_material][_index], - yref="paper", - font=dict( - family="Arial", - size=16, - color="rgb(150,50,50)" - ), - showarrow=True, - arrowhead=3, - ax=0, - ay=-25) + x=_value, + y=y_off, + text=_hkl_formated[_material][_index], + yref="paper", + font=dict(family="Arial", size=16, color="rgb(150,50,50)"), + showarrow=True, + arrowhead=3, + ax=0, + ay=-25, + ) figure.add_annotation(_annot) iplot(figure) def select_output_data_folder(self): - o_folder = FileFolderBrowser(working_dir=self.working_dir, - next_function=self.export_data) + o_folder = FileFolderBrowser(working_dir=self.working_dir, next_function=self.export_data) o_folder.select_output_folder(instruction="Select where to create the ascii file...") - def make_output_file_name(self, output_folder='', input_folder=''): + def make_output_file_name(self, output_folder="", input_folder=""): file_name = os.path.basename(input_folder) + "_counts_vs_lambda_tof.txt" return os.path.join(os.path.abspath(output_folder), file_name) def export_data(self, output_folder): - input_folder = os.path.dirname(self.o_norm.data['sample']['file_name'][0]) - output_file_name = self.make_output_file_name(output_folder=output_folder, - input_folder=input_folder) + input_folder = os.path.dirname(self.o_norm.data["sample"]["file_name"][0]) + output_file_name = self.make_output_file_name(output_folder=output_folder, input_folder=input_folder) lambda_array = self.lambda_array counts_vs_file_index = self.counts_vs_file_index tof_array = self.tof_array - metadata = ["# input folder: {}".format(input_folder)] + metadata = [f"# input folder: {input_folder}"] list_roi = self.list_roi if len(list_roi) == 0: @@ -534,15 +534,11 @@ def export_data(self, output_folder): else: for index, key in enumerate(list_roi.keys()): roi = list_roi[key] - _x0 = roi['x0'] - _y0 = roi['y0'] - _x1 = roi['x1'] - _y1 = roi['y1'] - metadata.append("# Sample ROI {}: x0={}, y0={}, x1={}, y1={}".format(index, - _x0, - _y0, - _x1, - _y1)) + _x0 = roi["x0"] + _y0 = roi["y0"] + _x1 = roi["x1"] + _y1 = roi["y1"] + metadata.append(f"# Sample ROI {index}: x0={_x0}, y0={_y0}, x1={_x1}, y1={_y1}") background_rois = self.background_rois if len(background_rois) == 0: @@ -550,49 +546,54 @@ def export_data(self, output_folder): else: for index, key in enumerate(background_rois.keys()): roi = list_roi[key] - _x0 = roi['x0'] - _y0 = roi['y0'] - _x1 = roi['x1'] - _y1 = roi['y1'] - metadata.append("# Background ROI {}: x0={}, y0={}, x1={}, y1={}".format(index, - _x0, - _y0, - _x1, - _y1)) + _x0 = roi["x0"] + _y0 = roi["y0"] + _x1 = roi["x1"] + _y1 = roi["y1"] + metadata.append(f"# Background ROI {index}: x0={_x0}, y0={_y0}, x1={_x1}, y1={_y1}") metadata.append("#") metadata.append("# tof (micros), lambda (Angstroms), Average transmission") data = [] - for _t, _l, _c in zip(tof_array, lambda_array, counts_vs_file_index): - data.append("{}, {}, {}".format(_t, _l, _c)) + for _t, _l, _c in zip(tof_array, lambda_array, counts_vs_file_index, strict=False): + data.append(f"{_t}, {_l}, {_c}") - file_handler.make_ascii_file(metadata=metadata, - data=data, - output_file_name=output_file_name, - dim='1d') + file_handler.make_ascii_file(metadata=metadata, data=data, output_file_name=output_file_name, dim="1d") if os.path.exists(output_file_name): - display(HTML('Ascii file ' + output_file_name + ' has been ' + - 'created ')) + display( + HTML( + 'Ascii file ' + + output_file_name + + " has been " + + "created " + ) + ) else: - display(HTML('Error exporting Ascii file ' + output_file_name + - '')) + display( + HTML( + 'Error exporting Ascii file ' + + output_file_name + + "" + ) + ) def select_output_table_folder(self): - o_folder = FileFolderBrowser(working_dir=self.working_dir, - next_function=self.export_table) + o_folder = FileFolderBrowser(working_dir=self.working_dir, next_function=self.export_table) o_folder.select_output_folder() def export_table(self, output_folder): material = self.handler.material[0] lattice = self.handler.lattice[material] crystal_structure = self.handler.crystal_structure[material] - metadata = ["# material: {}".format(material), - "# crystal structure: {}".format(crystal_structure), - "# lattice: {} Angstroms".format(lattice), - "#", - "# hkl, d(angstroms), BraggEdge"] + metadata = [ + f"# material: {material}", + f"# crystal structure: {crystal_structure}", + f"# lattice: {lattice} Angstroms", + "#", + "# hkl, d(angstroms), BraggEdge", + ] data = [] bragg_edges = self.bragg_edges[material] hkl = self.hkl[material] @@ -600,24 +601,22 @@ def export_table(self, output_folder): _hkl_str = [str(i) for i in hkl[_index]] _hkl = "".join(_hkl_str) _bragg_edges = float(bragg_edges[_index]) - _d = _bragg_edges / 2. - _row = "{}, {}, {}".format(_hkl, _d, _bragg_edges) + _d = _bragg_edges / 2.0 + _row = f"{_hkl}, {_d}, {_bragg_edges}" data.append(_row) - output_file_name = os.path.join(output_folder, 'bragg_edges_of_{}.txt'.format(material)) + output_file_name = os.path.join(output_folder, f"bragg_edges_of_{material}.txt") - file_handler.make_ascii_file(metadata=metadata, - data=data, - dim='1d', - output_file_name=output_file_name) + file_handler.make_ascii_file(metadata=metadata, data=data, dim="1d", output_file_name=output_file_name) - display(HTML('File created : ' + \ - output_file_name + '')) + display(HTML('File created : ' + output_file_name + "")) def select_folder(self, message="", next_function=None): - folder_widget = ipywe.fileselector.FileSelectorPanel(instruction='select {} folder'.format(message), - start_dir=self.working_dir, - next=next_function, - type='directory', - multiple=False) + folder_widget = ipywe.fileselector.FileSelectorPanel( + instruction=f"select {message} folder", + start_dir=self.working_dir, + next=next_function, + type="directory", + multiple=False, + ) folder_widget.show() diff --git a/notebooks/__code/bragg_edge/bragg_edge_sample_and_powder.py b/notebooks/__code/bragg_edge/bragg_edge_sample_and_powder.py index a983b383..fafefeac 100755 --- a/notebooks/__code/bragg_edge/bragg_edge_sample_and_powder.py +++ b/notebooks/__code/bragg_edge/bragg_edge_sample_and_powder.py @@ -1,31 +1,28 @@ -import random -import os import glob +import logging +import os +import random from pathlib import Path -from IPython.display import HTML -from IPython.display import display + import numpy as np -from plotly.offline import iplot import plotly.graph_objs as go +from IPython.display import HTML, display from ipywidgets import widgets -import logging - -from neutronbraggedge.experiment_handler import * from NeuNorm.normalization import Normalization from NeuNorm.roi import ROI +from neutronbraggedge.experiment_handler import * +from plotly.offline import iplot -from __code import file_handler +from __code import file_handler, ipywe +from __code._utilities.file import get_full_home_file_name from __code.bragg_edge.bragg_edge import BraggEdge as BraggEdgeParent from __code.bragg_edge.bragg_edge import Interface from __code.file_folder_browser import FileFolderBrowser -from __code import ipywe -from __code._utilities.file import get_full_home_file_name LOG_FILE_NAME = ".bragg_edge_normalization.log" class BraggEdge(BraggEdgeParent): - o_interface = None select_ob_widget = None @@ -33,48 +30,56 @@ def __init__(self, working_dir="./"): super(BraggEdge, self).__init__(working_dir=working_dir) self.log_file_name = get_full_home_file_name(LOG_FILE_NAME) - logging.basicConfig(filename=self.log_file_name, - filemode='w', - format='[%(levelname)s] - %(asctime)s - %(message)s', - level=logging.INFO) + logging.basicConfig( + filename=self.log_file_name, + filemode="w", + format="[%(levelname)s] - %(asctime)s - %(message)s", + level=logging.INFO, + ) logging.info("*** Starting a new session ***") def load_data(self, folder_selected): - logging.info(f"Loading data from {folder_selected}") self.o_norm = Normalization() - self.load_files(data_type='sample', folder=folder_selected) + self.load_files(data_type="sample", folder=folder_selected) # define time spectra file - folder = os.path.dirname(self.o_norm.data['sample']['file_name'][0]) - self.list_files = self.o_norm.data['sample']['file_name'] - self.data = self.o_norm.data['sample']['data'] + folder = os.path.dirname(self.o_norm.data["sample"]["file_name"][0]) + self.list_files = self.o_norm.data["sample"]["file_name"] + self.data = self.o_norm.data["sample"]["data"] self.data_folder_name = os.path.basename(folder) - spectra_file = glob.glob(os.path.join(folder, '*_Spectra.txt')) + spectra_file = glob.glob(os.path.join(folder, "*_Spectra.txt")) logging.info(f"> looking for spectra file: {spectra_file}") if spectra_file: - logging.info(f"-> spectra file FOUND!") + logging.info("-> spectra file FOUND!") self.spectra_file = spectra_file[0] - display(HTML(' Spectra File automatically located: ' + \ - self.spectra_file + '')) + display( + HTML( + ' Spectra File automatically located: ' + + self.spectra_file + + "" + ) + ) else: # ask for spectra file - logging.info(f"-> spectra file NOT FOUND! Asking user to select time spectra file") + logging.info("-> spectra file NOT FOUND! Asking user to select time spectra file") self.select_time_spectra_file() def select_time_spectra_file(self): self.working_dir = os.path.dirname(self.list_files[0]) - self.time_spectra_ui = ipywe.fileselector.FileSelectorPanel(instruction='Select Time Spectra File ...', - start_dir=self.working_dir, - next=self.save_time_spectra, - filters={'spectra_file': "_Spectra.txt"}, - multiple=False) + self.time_spectra_ui = ipywe.fileselector.FileSelectorPanel( + instruction="Select Time Spectra File ...", + start_dir=self.working_dir, + next=self.save_time_spectra, + filters={"spectra_file": "_Spectra.txt"}, + multiple=False, + ) self.time_spectra_ui.show() - self.cancel_button = widgets.Button(description="or Do Not Select any Time Spectra", - button_style="info", - layout=widgets.Layout(width='100%')) + self.cancel_button = widgets.Button( + description="or Do Not Select any Time Spectra", button_style="info", layout=widgets.Layout(width="100%") + ) display(self.cancel_button) self.cancel_button.on_click(self.cancel_time_spectra_selection) @@ -84,45 +89,52 @@ def save_time_spectra(self, file): self.cancel_button.close() def cancel_time_spectra_selection(self, value): - logging.info(f"User cancel loading time spectra!") + logging.info("User cancel loading time spectra!") self.time_spectra_ui.remove() self.cancel_button.close() display(HTML('NO Spectra File loaded! ')) - def load_files(self, data_type='sample', folder=None): + def load_files(self, data_type="sample", folder=None): self.starting_dir = os.path.dirname(folder) - if data_type == 'sample': + if data_type == "sample": self.data_folder_name = os.path.basename(folder) - list_files = glob.glob(os.path.join(folder, '*.fits')) + list_files = glob.glob(os.path.join(folder, "*.fits")) if list_files == []: - list_files = glob.glob(os.path.join(folder, '*.tif*')) + list_files = glob.glob(os.path.join(folder, "*.tif*")) else: # fits # keep only files of interest - list_files = [file for file in list_files if not "_SummedImg.fits" in file] + list_files = [file for file in list_files if "_SummedImg.fits" not in file] list_files = [file for file in list_files if ".fits" in file] # sort list of files list_files.sort() - logging.info(f"load files:") + logging.info("load files:") logging.info(f"-> data type: {data_type}") logging.info(f"-> nbr of files: {len(list_files)}") o_norm = Normalization() o_norm.load(file=list_files, notebook=True, data_type=data_type) - if data_type == 'sample': + if data_type == "sample": self.o_norm = o_norm - elif data_type == 'ob': - self.o_norm.data['ob'] = o_norm.data['ob'] - - display(HTML('' + str(len(list_files)) + \ - ' files have been loaded as ' + data_type + '')) + elif data_type == "ob": + self.o_norm.data["ob"] = o_norm.data["ob"] + + display( + HTML( + '' + + str(len(list_files)) + + " files have been loaded as " + + data_type + + "" + ) + ) def get_nbr_of_images_to_use_in_preview(self): - nbr_images = len(self.o_norm.data['sample']['data']) + nbr_images = len(self.o_norm.data["sample"]["data"]) init_value = int(nbr_images / 10) if init_value == 0: init_value = 1 @@ -132,57 +144,53 @@ def normalization_settings_widgets(self): # with ob ## button - self.select_ob_widget = widgets.Button(description="Select OB ...", - button_style="success", - layout=widgets.Layout(width="100%")) + self.select_ob_widget = widgets.Button( + description="Select OB ...", button_style="success", layout=widgets.Layout(width="100%") + ) self.select_ob_widget.on_click(self.select_ob_folder) ## space spacer = widgets.HTML(value="
") ## nbr of images to use - nbr_images_to_use_label = widgets.Label("Nbr of images to use in preview", - layout=widgets.Layout(width="20%")) + nbr_images_to_use_label = widgets.Label("Nbr of images to use in preview", layout=widgets.Layout(width="20%")) nbr_of_images_to_use_in_preview = self.get_nbr_of_images_to_use_in_preview() - self.nbr_images_slider_with_ob = widgets.IntSlider(min=2, - max=len(self.list_files), - value=nbr_of_images_to_use_in_preview, - layout=widgets.Layout(width="80%")) + self.nbr_images_slider_with_ob = widgets.IntSlider( + min=2, max=len(self.list_files), value=nbr_of_images_to_use_in_preview, layout=widgets.Layout(width="80%") + ) hbox_1 = widgets.HBox([nbr_images_to_use_label, self.nbr_images_slider_with_ob]) - self.select_roi_widget_with_ob = widgets.Button(description="OPTIONAL: Select Region of interest away from " - "sample " - "to " - "improve normalization", - layout=widgets.Layout(width="100%")) + self.select_roi_widget_with_ob = widgets.Button( + description="OPTIONAL: Select Region of interest away from " "sample " "to " "improve normalization", + layout=widgets.Layout(width="100%"), + ) self.select_roi_widget_with_ob.on_click(self.select_roi_with_ob) - vbox_with_ob = widgets.VBox([self.select_ob_widget, - spacer, - hbox_1, - spacer, - self.select_roi_widget_with_ob, - ]) + vbox_with_ob = widgets.VBox( + [ + self.select_ob_widget, + spacer, + hbox_1, + spacer, + self.select_roi_widget_with_ob, + ] + ) # without ob ## nbr of images to use - self.nbr_images_slider_without_ob = widgets.IntSlider(min=2, - max=len(self.list_files), - value=nbr_of_images_to_use_in_preview, - layout=widgets.Layout(width="80%")) + self.nbr_images_slider_without_ob = widgets.IntSlider( + min=2, max=len(self.list_files), value=nbr_of_images_to_use_in_preview, layout=widgets.Layout(width="80%") + ) hbox_without_ob = widgets.HBox([nbr_images_to_use_label, self.nbr_images_slider_without_ob]) - select_roi_widget_without_ob = widgets.Button(description="MANDATORY: Select region of interest " - "away from " - "sample", - button_style="success", - layout=widgets.Layout(width="100%")) + select_roi_widget_without_ob = widgets.Button( + description="MANDATORY: Select region of interest " "away from " "sample", + button_style="success", + layout=widgets.Layout(width="100%"), + ) select_roi_widget_without_ob.on_click(self.select_roi_without_ob) - vbox_without_ob = widgets.VBox([hbox_without_ob, - spacer, - select_roi_widget_without_ob - ]) + vbox_without_ob = widgets.VBox([hbox_without_ob, spacer, select_roi_widget_without_ob]) self.accordion = widgets.Accordion(children=[vbox_with_ob, vbox_without_ob]) self.accordion.set_title(0, "With OB") @@ -198,9 +206,11 @@ def select_roi_without_ob(self, status): self.select_roi(nbr_data_to_use=nbr_data_to_use) def select_roi(self, nbr_data_to_use=2): - self.o_interface = Interface(data=self.get_image_to_use_for_display(nbr_data_to_use=nbr_data_to_use), - instruction="Select region outside sample!", - next=self.after_selecting_roi) + self.o_interface = Interface( + data=self.get_image_to_use_for_display(nbr_data_to_use=nbr_data_to_use), + instruction="Select region outside sample!", + next=self.after_selecting_roi, + ) self.o_interface.show() def after_selecting_roi(self): @@ -212,58 +222,63 @@ def after_selecting_roi(self): self.select_roi_widget_without_ob.button_style = "" def select_ob_folder(self, status=None): - select_data = ipywe.fileselector.FileSelectorPanel(instruction='Select OB Folder ...', - start_dir=self.starting_dir, - next=self.load_ob, - type='directory', - multiple=False) + select_data = ipywe.fileselector.FileSelectorPanel( + instruction="Select OB Folder ...", + start_dir=self.starting_dir, + next=self.load_ob, + type="directory", + multiple=False, + ) select_data.show() def load_ob(self, folder_selected): - self.load_files(data_type='ob', folder=folder_selected) + self.load_files(data_type="ob", folder=folder_selected) self.check_data_array_sizes() if self.select_ob_widget: self.select_ob_widget.button_style = "" self.select_roi_widget_with_ob.button_style = "success" def check_data_array_sizes(self): - len_ob = len(self.o_norm.data['ob']['file_name']) - len_sample = len(self.o_norm.data['sample']['file_name']) + len_ob = len(self.o_norm.data["ob"]["file_name"]) + len_sample = len(self.o_norm.data["sample"]["file_name"]) if len_ob == len_sample: display(HTML(' Sample and OB have the same size!')) return if len_ob < len_sample: - self.o_norm.data['sample']['data'] = self.o_norm.data['sample']['data'][0:len_ob] - self.o_norm.data['sample']['file_name'] = self.o_norm.data['sample']['file_name'][0:len_ob] + self.o_norm.data["sample"]["data"] = self.o_norm.data["sample"]["data"][0:len_ob] + self.o_norm.data["sample"]["file_name"] = self.o_norm.data["sample"]["file_name"][0:len_ob] display(HTML(' Truncated Sample array to match OB!')) else: - self.o_norm.data['ob']['data'] = self.o_norm.data['ob']['data'][0:len_sample] - self.o_norm.data['ob']['file_name'] = self.o_norm.data['ob']['file_name'][0:len_sample] + self.o_norm.data["ob"]["data"] = self.o_norm.data["ob"]["data"][0:len_sample] + self.o_norm.data["ob"]["file_name"] = self.o_norm.data["ob"]["file_name"][0:len_sample] display(HTML(' Truncated OB array to match Sample!')) def load_time_spectra(self): _tof_handler = TOF(filename=self.spectra_file) - _exp = Experiment(tof=_tof_handler.tof_array, - distance_source_detector_m=float(self.dSD_ui.value), - detector_offset_micros=float(self.detector_offset_ui.value)) + _exp = Experiment( + tof=_tof_handler.tof_array, + distance_source_detector_m=float(self.dSD_ui.value), + detector_offset_micros=float(self.detector_offset_ui.value), + ) - nbr_sample = len(self.o_norm.data['sample']['file_name']) + nbr_sample = len(self.o_norm.data["sample"]["file_name"]) - self.lambda_array = _exp.lambda_array[0: nbr_sample] * 1e10 # to be in Angstroms - self.tof_array = _tof_handler.tof_array[0: nbr_sample] + self.lambda_array = _exp.lambda_array[0:nbr_sample] * 1e10 # to be in Angstroms + self.tof_array = _tof_handler.tof_array[0:nbr_sample] def how_many_data_to_use_to_select_sample_roi(self): - nbr_images = len(self.o_norm.data['sample']['data']) + nbr_images = len(self.o_norm.data["sample"]["data"]) init_value = int(nbr_images / 10) if init_value == 0: init_value = 1 - box1 = widgets.HBox([widgets.Label("Nbr of images to use:", - layout=widgets.Layout(width='15')), - widgets.IntSlider(value=init_value, - max=nbr_images, - min=1)]) + box1 = widgets.HBox( + [ + widgets.Label("Nbr of images to use:", layout=widgets.Layout(width="15")), + widgets.IntSlider(value=init_value, max=nbr_images, min=1), + ] + ) # layout=widgets.Layout(width='50%'))]) box2 = widgets.Label("(The more you select, the longer it will take to display the preview!)") vbox = widgets.VBox([box1, box2]) @@ -271,7 +286,7 @@ def how_many_data_to_use_to_select_sample_roi(self): self.number_of_data_to_use_ui = box1.children[1] def get_image_to_use_for_display(self, nbr_data_to_use=2): - _data = self.o_norm.data['sample']['data'] + _data = self.o_norm.data["sample"]["data"] nbr_images = len(_data) list_of_indexes_to_keep = random.sample(list(range(nbr_images)), nbr_data_to_use) @@ -310,23 +325,17 @@ def normalization_without_ob(self, list_rois): list_o_roi = [] for key in list_rois.keys(): roi = list_rois[key] - _x0 = roi['x0'] - _y0 = roi['y0'] - _x1 = roi['x1'] - _y1 = roi['y1'] + _x0 = roi["x0"] + _y0 = roi["y0"] + _x1 = roi["x1"] + _y1 = roi["y1"] - list_o_roi.append(ROI(x0=_x0, - y0=_y0, - x1=_x1, - y1=_y1)) + list_o_roi.append(ROI(x0=_x0, y0=_y0, x1=_x1, y1=_y1)) logging.info(f"-> Normalization with {len(list_o_roi)} ROIs") - self.o_norm.normalization(roi=list_o_roi, - use_only_sample=True, - notebook=True, - force=True) + self.o_norm.normalization(roi=list_o_roi, use_only_sample=True, notebook=True, force=True) display(HTML(' Normalization DONE! ')) - logging.info(f"-> Done!") + logging.info("-> Done!") def normalization_with_ob(self, list_rois): logging.info("Running normalization with OB") @@ -337,75 +346,73 @@ def normalization_with_ob(self, list_rois): list_o_roi = [] for key in list_rois.keys(): roi = list_rois[key] - _x0 = roi['x0'] - _y0 = roi['y0'] - _x1 = roi['x1'] - _y1 = roi['y1'] + _x0 = roi["x0"] + _y0 = roi["y0"] + _x1 = roi["x1"] + _y1 = roi["y1"] - list_o_roi.append(ROI(x0=_x0, - y0=_y0, - x1=_x1, - y1=_y1)) + list_o_roi.append(ROI(x0=_x0, y0=_y0, x1=_x1, y1=_y1)) logging.info(f"-> Normalization with {len(list_o_roi)} ROIs") - self.o_norm.normalization(roi=list_o_roi, - notebook=True, - force=True) + self.o_norm.normalization(roi=list_o_roi, notebook=True, force=True) display(HTML(' Normalization DONE! ')) - logging.info(f"-> Done!") + logging.info("-> Done!") def export_normalized_data(self): - self.o_folder = FileFolderBrowser(working_dir=self.working_dir, - next_function=self.export_normalized_data_step2, - ipts_folder=self.ipts_folder) + self.o_folder = FileFolderBrowser( + working_dir=self.working_dir, next_function=self.export_normalized_data_step2, ipts_folder=self.ipts_folder + ) self.o_folder.select_output_folder_with_new(instruction="Select where to create the normalized data ...") def export_normalized_data_step2(self, output_folder): - logging.info(f"export normalized data") + logging.info("export normalized data") logging.info(f"-> output_folder: {output_folder}") output_folder = os.path.abspath(output_folder) self.o_folder.list_output_folders_ui.shortcut_buttons.close() - normalized_export_folder = str(Path(output_folder) / (self.data_folder_name + '_normalized')) + normalized_export_folder = str(Path(output_folder) / (self.data_folder_name + "_normalized")) file_handler.make_or_reset_folder(normalized_export_folder) self.o_norm.export(folder=normalized_export_folder) - display(HTML(' Created the normalized data in the folder ' + - normalized_export_folder + '')) + display( + HTML( + ' Created the normalized data in the folder ' + + normalized_export_folder + + "" + ) + ) if self.spectra_file: - logging.info(f"-> time spectra copied to output folder!") - file_handler.copy_files_to_folder(list_files=[self.spectra_file], - output_folder=normalized_export_folder) + logging.info("-> time spectra copied to output folder!") + file_handler.copy_files_to_folder(list_files=[self.spectra_file], output_folder=normalized_export_folder) display(HTML(' Copied time spectra file to same folder ')) else: - logging.info(f"->No time spectra copied!") + logging.info("->No time spectra copied!") def calculate_counts_vs_file_index_of_regions_selected(self, list_roi=None): self.list_roi = list_roi data = self.o_norm.get_sample_data() nbr_data = len(data) - box_ui = widgets.HBox([widgets.Label("Calculate Counts vs lambda", - layout=widgets.Layout(width='20%')), - widgets.IntProgress(min=0, - max=nbr_data, - value=0, - layout=widgets.Layout(width='50%'))]) + box_ui = widgets.HBox( + [ + widgets.Label("Calculate Counts vs lambda", layout=widgets.Layout(width="20%")), + widgets.IntProgress(min=0, max=nbr_data, value=0, layout=widgets.Layout(width="50%")), + ] + ) progress_bar = box_ui.children[1] display(box_ui) counts_vs_file_index = [] for _index, _data in enumerate(data): - if len(list_roi) == 0: _array_data = _data else: _array_data = [] for _roi in list_roi.keys(): - x0 = int(list_roi[_roi]['x0']) - y0 = int(list_roi[_roi]['y0']) - x1 = int(list_roi[_roi]['x1']) - y1 = int(list_roi[_roi]['y1']) + x0 = int(list_roi[_roi]["x0"]) + y0 = int(list_roi[_roi]["y0"]) + x1 = int(list_roi[_roi]["x1"]) + y1 = int(list_roi[_roi]["y1"]) _array_data.append(np.nanmean(_data[y0:y1, x0:x1])) @@ -417,21 +424,13 @@ def calculate_counts_vs_file_index_of_regions_selected(self, list_roi=None): box_ui.close() def plot(self): - - trace = go.Scatter( - x=self.lambda_array, - y=self.counts_vs_file_index, - mode='markers') + trace = go.Scatter(x=self.lambda_array, y=self.counts_vs_file_index, mode="markers") layout = go.Layout( - height=500, - title="Average transmission vs TOF (of entire images, or of selected region if any)", - xaxis=dict( - title="Lambda (Angstroms)" - ), - yaxis=dict( - title="Average Transmission" - ), + height=500, + title="Average transmission vs TOF (of entire images, or of selected region if any)", + xaxis=dict(title="Lambda (Angstroms)"), + yaxis=dict(title="Average Transmission"), ) data = [trace] @@ -457,59 +456,53 @@ def plot(self): for _index, _value in enumerate(bragg_edges[_material]): if _value > max_x: continue - bragg_line = {"type": "line", - 'x0' : _value, - 'x1' : _value, - 'yref': "paper", - 'y0' : 0, - 'y1' : 1, - 'line': { - 'color': 'rgb(255, 0, 0)', - 'width': 1 - }} + bragg_line = { + "type": "line", + "x0": _value, + "x1": _value, + "yref": "paper", + "y0": 0, + "y1": 1, + "line": {"color": "rgb(255, 0, 0)", "width": 1}, + } figure.add_shape(bragg_line) # layout.shapes.append(bragg_line) y_off = 1 - 0.25 * y_index # add labels to plots _annot = dict( - x=_value, - y=y_off, - text=_hkl_formated[_material][_index], - yref="paper", - font=dict( - family="Arial", - size=16, - color="rgb(150,50,50)" - ), - showarrow=True, - arrowhead=3, - ax=0, - ay=-25) + x=_value, + y=y_off, + text=_hkl_formated[_material][_index], + yref="paper", + font=dict(family="Arial", size=16, color="rgb(150,50,50)"), + showarrow=True, + arrowhead=3, + ax=0, + ay=-25, + ) figure.add_annotation(_annot) iplot(figure) def select_output_data_folder(self): - o_folder = FileFolderBrowser(working_dir=self.working_dir, - next_function=self.export_data) + o_folder = FileFolderBrowser(working_dir=self.working_dir, next_function=self.export_data) o_folder.select_output_folder(instruction="Select where to create the ascii file...") - def make_output_file_name(self, output_folder='', input_folder=''): + def make_output_file_name(self, output_folder="", input_folder=""): file_name = os.path.basename(input_folder) + "_counts_vs_lambda_tof.txt" return os.path.join(os.path.abspath(output_folder), file_name) def export_data(self, output_folder): - input_folder = os.path.dirname(self.o_norm.data['sample']['file_name'][0]) - output_file_name = self.make_output_file_name(output_folder=output_folder, - input_folder=input_folder) + input_folder = os.path.dirname(self.o_norm.data["sample"]["file_name"][0]) + output_file_name = self.make_output_file_name(output_folder=output_folder, input_folder=input_folder) lambda_array = self.lambda_array counts_vs_file_index = self.counts_vs_file_index tof_array = self.tof_array - metadata = ["# input folder: {}".format(input_folder)] + metadata = [f"# input folder: {input_folder}"] list_roi = self.list_roi if len(list_roi) == 0: @@ -517,48 +510,53 @@ def export_data(self, output_folder): else: for index, key in enumerate(list_roi.keys()): roi = list_roi[key] - _x0 = roi['x0'] - _y0 = roi['y0'] - _x1 = roi['x1'] - _y1 = roi['y1'] - metadata.append("# ROI {}: x0={}, y0={}, x1={}, y1={}".format(index, - _x0, - _y0, - _x1, - _y1)) + _x0 = roi["x0"] + _y0 = roi["y0"] + _x1 = roi["x1"] + _y1 = roi["y1"] + metadata.append(f"# ROI {index}: x0={_x0}, y0={_y0}, x1={_x1}, y1={_y1}") metadata.append("#") metadata.append("# tof (micros), lambda (Angstroms), Average transmission") data = [] - for _t, _l, _c in zip(tof_array, lambda_array, counts_vs_file_index): - data.append("{}, {}, {}".format(_t, _l, _c)) + for _t, _l, _c in zip(tof_array, lambda_array, counts_vs_file_index, strict=False): + data.append(f"{_t}, {_l}, {_c}") - file_handler.make_ascii_file(metadata=metadata, - data=data, - output_file_name=output_file_name, - dim='1d') + file_handler.make_ascii_file(metadata=metadata, data=data, output_file_name=output_file_name, dim="1d") if os.path.exists(output_file_name): - display(HTML('Ascii file ' + output_file_name + ' has been ' + - 'created ')) + display( + HTML( + 'Ascii file ' + + output_file_name + + " has been " + + "created " + ) + ) else: - display(HTML('Error exporting Ascii file ' + output_file_name + - '')) + display( + HTML( + 'Error exporting Ascii file ' + + output_file_name + + "" + ) + ) def select_output_table_folder(self): - o_folder = FileFolderBrowser(working_dir=self.working_dir, - next_function=self.export_table) + o_folder = FileFolderBrowser(working_dir=self.working_dir, next_function=self.export_table) o_folder.select_output_folder() def export_table(self, output_folder): material = self.handler.material[0] lattice = self.handler.lattice[material] crystal_structure = self.handler.crystal_structure[material] - metadata = ["# material: {}".format(material), - "# crystal structure: {}".format(crystal_structure), - "# lattice: {} Angstroms".format(lattice), - "#", - "# hkl, d(angstroms), BraggEdge"] + metadata = [ + f"# material: {material}", + f"# crystal structure: {crystal_structure}", + f"# lattice: {lattice} Angstroms", + "#", + "# hkl, d(angstroms), BraggEdge", + ] data = [] bragg_edges = self.bragg_edges[material] hkl = self.hkl[material] @@ -566,24 +564,22 @@ def export_table(self, output_folder): _hkl_str = [str(i) for i in hkl[_index]] _hkl = "".join(_hkl_str) _bragg_edges = float(bragg_edges[_index]) - _d = _bragg_edges / 2. - _row = "{}, {}, {}".format(_hkl, _d, _bragg_edges) + _d = _bragg_edges / 2.0 + _row = f"{_hkl}, {_d}, {_bragg_edges}" data.append(_row) - output_file_name = os.path.join(output_folder, 'bragg_edges_of_{}.txt'.format(material)) + output_file_name = os.path.join(output_folder, f"bragg_edges_of_{material}.txt") - file_handler.make_ascii_file(metadata=metadata, - data=data, - dim='1d', - output_file_name=output_file_name) + file_handler.make_ascii_file(metadata=metadata, data=data, dim="1d", output_file_name=output_file_name) - display(HTML('File created : ' + \ - output_file_name + '')) + display(HTML('File created : ' + output_file_name + "")) def select_folder(self, message="", next_function=None): - folder_widget = ipywe.fileselector.FileSelectorPanel(instruction='select {} folder'.format(message), - start_dir=self.working_dir, - next=next_function, - type='directory', - multiple=False) + folder_widget = ipywe.fileselector.FileSelectorPanel( + instruction=f"select {message} folder", + start_dir=self.working_dir, + next=next_function, + type="directory", + multiple=False, + ) folder_widget.show() diff --git a/notebooks/__code/bragg_edge/bragg_edge_selection_tab.py b/notebooks/__code/bragg_edge/bragg_edge_selection_tab.py index f3a12df0..f4758ca9 100755 --- a/notebooks/__code/bragg_edge/bragg_edge_selection_tab.py +++ b/notebooks/__code/bragg_edge/bragg_edge_selection_tab.py @@ -1,25 +1,23 @@ +from collections import OrderedDict + import numpy as np import pyqtgraph as pg from qtpy import QtGui -from collections import OrderedDict from __code._utilities.array import check_size from __code.bragg_edge.get import Get class BraggEdgeSelectionTab: - def __init__(self, parent=None): self.parent = parent def update_all_size_widgets_infos(self): - if self.parent.ui.square_roi_radiobutton.isChecked(): return roi_id = self.parent.roi_id - region = roi_id.getArraySlice(self.parent.final_image, - self.parent.ui.image_view.imageItem) + region = roi_id.getArraySlice(self.parent.final_image, self.parent.ui.image_view.imageItem) x0 = region[0][0].start x1 = region[0][0].stop y0 = region[0][1].start @@ -43,10 +41,12 @@ def update_all_size_widgets_infos(self): def get_shrinking_roi_dimension(self): coordinates = self.get_coordinates_of_new_inside_selection_box() - return [coordinates['x0'], - coordinates['y0'], - coordinates['x0'] + coordinates['width'], - coordinates['y0'] + coordinates['height']] + return [ + coordinates["x0"], + coordinates["y0"], + coordinates["x0"] + coordinates["width"], + coordinates["y0"] + coordinates["height"], + ] def get_coordinates_of_new_inside_selection_box(self): # get width and height defined in fitting labels (top right) @@ -67,12 +67,16 @@ def get_coordinates_of_new_inside_selection_box(self): new_x0 = x0 + int(delta_width / 2) new_y0 = y0 + int(delta_height / 2) - return {'x0' : new_x0, 'y0': new_y0, - 'x1' : new_x0 + width_requested + 1, 'y1': new_y0 + height_requested + 1, - 'width': width_requested, 'height': height_requested} + return { + "x0": new_x0, + "y0": new_y0, + "x1": new_x0 + width_requested + 1, + "y1": new_y0 + height_requested + 1, + "width": width_requested, + "height": height_requested, + } def update_selection_profile_plot(self): - if self.parent.is_file_imported: self.update_selection_plot() self.parent.update_vertical_line_in_profile_plot() @@ -85,47 +89,53 @@ def update_selection_profile_plot(self): # large selection region [x0, y0, x1, y1, _, _] = o_get.selection_roi_dimension() profile = o_get.profile_of_roi(x0, y0, x1, y1) - x_axis, y_axis = check_size(x_axis=x_axis, - y_axis=profile) - self.parent.ui.profile.plot(x_axis, y_axis, pen=(self.parent.selection_roi_rgb[0], - self.parent.selection_roi_rgb[1], - self.parent.selection_roi_rgb[2])) + x_axis, y_axis = check_size(x_axis=x_axis, y_axis=profile) + self.parent.ui.profile.plot( + x_axis, + y_axis, + pen=( + self.parent.selection_roi_rgb[0], + self.parent.selection_roi_rgb[1], + self.parent.selection_roi_rgb[2], + ), + ) # shrinkable region shrinking_roi = self.get_coordinates_of_new_inside_selection_box() - x0 = shrinking_roi['x0'] - y0 = shrinking_roi['y0'] - x1 = shrinking_roi['x1'] - y1 = shrinking_roi['y1'] + x0 = shrinking_roi["x0"] + y0 = shrinking_roi["y0"] + x1 = shrinking_roi["x1"] + y1 = shrinking_roi["y1"] profile = o_get.profile_of_roi(x0, y0, x1, y1) - x_axis, y_axis = check_size(x_axis=x_axis, - y_axis=profile) - self.parent.ui.profile.plot(x_axis, y_axis, pen=(self.parent.shrinking_roi_rgb[0], - self.parent.shrinking_roi_rgb[1], - self.parent.shrinking_roi_rgb[2])) + x_axis, y_axis = check_size(x_axis=x_axis, y_axis=profile) + self.parent.ui.profile.plot( + x_axis, + y_axis, + pen=( + self.parent.shrinking_roi_rgb[0], + self.parent.shrinking_roi_rgb[1], + self.parent.shrinking_roi_rgb[2], + ), + ) self.parent.ui.profile.setLabel("bottom", x_axis_label) - self.parent.ui.profile.setLabel("left", 'Mean transmission') + self.parent.ui.profile.setLabel("left", "Mean transmission") # vertical line showing peak to fit - bragg_edge_range = [x_axis[self.parent.bragg_edge_range[0]], - x_axis[self.parent.bragg_edge_range[1]]] - - self.parent.bragg_edge_range_ui = pg.LinearRegionItem(values=bragg_edge_range, - orientation=None, - brush=None, - movable=True, - bounds=None) + bragg_edge_range = [x_axis[self.parent.bragg_edge_range[0]], x_axis[self.parent.bragg_edge_range[1]]] + + self.parent.bragg_edge_range_ui = pg.LinearRegionItem( + values=bragg_edge_range, orientation=None, brush=None, movable=True, bounds=None + ) self.parent.bragg_edge_range_ui.sigRegionChanged.connect(self.parent.bragg_edge_range_changed) self.parent.bragg_edge_range_ui.setZValue(-10) self.parent.ui.profile.addItem(self.parent.bragg_edge_range_ui) - def update_selection(self, new_value=None, mode='square'): + def update_selection(self, new_value=None, mode="square"): if self.parent.roi_id is None: return try: - region = self.parent.roi_id.getArraySlice(self.parent.final_image, - self.parent.ui.image_view.imageItem) + region = self.parent.roi_id.getArraySlice(self.parent.final_image, self.parent.ui.image_view.imageItem) except TypeError: return @@ -137,17 +147,14 @@ def update_selection(self, new_value=None, mode='square'): self.parent.ui.image_view.removeItem(self.parent.roi_id) _pen = QtGui.QPen() - _pen.setColor(self.parent.roi_settings['color']) - _pen.setWidthF(self.parent.roi_settings['width']) - self.parent.roi_id = pg.ROI([x0, y0], - [new_value, new_value], - pen=_pen, - scaleSnap=True) + _pen.setColor(self.parent.roi_settings["color"]) + _pen.setWidthF(self.parent.roi_settings["width"]) + self.parent.roi_id = pg.ROI([x0, y0], [new_value, new_value], pen=_pen, scaleSnap=True) self.parent.ui.image_view.addItem(self.parent.roi_id) self.parent.roi_id.sigRegionChanged.connect(self.parent.roi_moved) - if mode == 'square': + if mode == "square": self.parent.ui.roi_width.setText(str(new_value)) self.parent.ui.roi_height.setText(str(new_value)) self.parent.reset_profile_of_bin_size_slider() @@ -165,19 +172,23 @@ def update_selection_plot(self): max_value = self.parent.ui.profile_of_bin_size_slider.maximum() roi_selected = max_value - self.parent.ui.profile_of_bin_size_slider.value() - y_axis = self.parent.fitting_input_dictionary['rois'][roi_selected]['profile'] + y_axis = self.parent.fitting_input_dictionary["rois"][roi_selected]["profile"] - self.parent.ui.profile.plot(x_axis, y_axis, pen=(self.parent.shrinking_roi_rgb[0], - self.parent.shrinking_roi_rgb[1], - self.parent.shrinking_roi_rgb[2])) + self.parent.ui.profile.plot( + x_axis, + y_axis, + pen=(self.parent.shrinking_roi_rgb[0], self.parent.shrinking_roi_rgb[1], self.parent.shrinking_roi_rgb[2]), + ) self.parent.ui.profile.setLabel("bottom", x_axis_label) - self.parent.ui.profile.setLabel("left", 'Mean transmission') + self.parent.ui.profile.setLabel("left", "Mean transmission") # full region - y_axis = self.parent.fitting_input_dictionary['rois'][0]['profile'] - self.parent.ui.profile.plot(x_axis, y_axis, pen=(self.parent.selection_roi_rgb[0], - self.parent.selection_roi_rgb[1], - self.parent.selection_roi_rgb[2])) + y_axis = self.parent.fitting_input_dictionary["rois"][0]["profile"] + self.parent.ui.profile.plot( + x_axis, + y_axis, + pen=(self.parent.selection_roi_rgb[0], self.parent.selection_roi_rgb[1], self.parent.selection_roi_rgb[2]), + ) def profile_of_bin_size_slider_changed(self, new_value): try: @@ -210,10 +221,10 @@ def profile_of_bin_size_slider_changed(self, new_value): def update_roi_defined_by_profile_of_bin_size_slider(self): coordinates_new_selection = self.get_coordinates_of_new_inside_selection_box() self.parent.shrinking_roi = coordinates_new_selection - x0 = coordinates_new_selection['x0'] - y0 = coordinates_new_selection['y0'] - width = coordinates_new_selection['width'] - height = coordinates_new_selection['height'] + x0 = coordinates_new_selection["x0"] + y0 = coordinates_new_selection["y0"] + width = coordinates_new_selection["width"] + height = coordinates_new_selection["height"] # remove old selection if self.parent.shrinking_roi_id: @@ -221,25 +232,23 @@ def update_roi_defined_by_profile_of_bin_size_slider(self): # plot new box _pen = QtGui.QPen() - _pen.setDashPattern(self.parent.shrinking_roi_settings['dashes_pattern']) - _pen.setColor(self.parent.shrinking_roi_settings['color']) - _pen.setWidthF(self.parent.shrinking_roi_settings['width']) - - self.parent.shrinking_roi_id = pg.ROI([x0, y0], - [width, height], - pen=_pen, - scaleSnap=True, - movable=False) + _pen.setDashPattern(self.parent.shrinking_roi_settings["dashes_pattern"]) + _pen.setColor(self.parent.shrinking_roi_settings["color"]) + _pen.setWidthF(self.parent.shrinking_roi_settings["width"]) + + self.parent.shrinking_roi_id = pg.ROI([x0, y0], [width, height], pen=_pen, scaleSnap=True, movable=False) self.parent.ui.image_view.addItem(self.parent.shrinking_roi_id) def update_profile_of_bin_slider_widget(self): self.parent.change_profile_of_bin_slider_signal() fitting_input_dictionary = self.parent.fitting_input_dictionary dict_rois_imported = OrderedDict() - nbr_key = len(fitting_input_dictionary['rois'].keys()) - for _index, _key in enumerate(fitting_input_dictionary['rois'].keys()): - dict_rois_imported[nbr_key - 1 - _index] = {'width' : fitting_input_dictionary['rois'][_key]['width'], - 'height': fitting_input_dictionary['rois'][_key]['height']} + nbr_key = len(fitting_input_dictionary["rois"].keys()) + for _index, _key in enumerate(fitting_input_dictionary["rois"].keys()): + dict_rois_imported[nbr_key - 1 - _index] = { + "width": fitting_input_dictionary["rois"][_key]["width"], + "height": fitting_input_dictionary["rois"][_key]["height"], + } self.parent.dict_rois_imported = dict_rois_imported self.parent.ui.profile_of_bin_size_slider.setRange(0, len(dict_rois_imported) - 1) # self.parent.ui.profile_of_bin_size_slider.setMinimum(0) diff --git a/notebooks/__code/bragg_edge/export_handler.py b/notebooks/__code/bragg_edge/export_handler.py index 2fb29a4f..19c0dec5 100755 --- a/notebooks/__code/bragg_edge/export_handler.py +++ b/notebooks/__code/bragg_edge/export_handler.py @@ -1,15 +1,15 @@ +from collections import OrderedDict from pathlib import Path -from qtpy.QtWidgets import QFileDialog + import numpy as np -from collections import OrderedDict +from qtpy.QtWidgets import QFileDialog +from __code.bragg_edge.bragg_edge_peak_fitting_gui_utility import GuiUtility from __code.bragg_edge.get import Get from __code.file_handler import make_ascii_file -from __code.bragg_edge.bragg_edge_peak_fitting_gui_utility import GuiUtility class ExportHandler: - def __init__(self, parent=None): self.parent = parent @@ -17,10 +17,9 @@ def configuration(self): # bring file dialog to locate where the file will be saved base_folder = Path(self.parent.working_dir) directory = str(base_folder.parent) - _export_folder = QFileDialog.getExistingDirectory(self.parent, - directory=directory, - caption="Select Output Folder", - options=QFileDialog.ShowDirsOnly) + _export_folder = QFileDialog.getExistingDirectory( + self.parent, directory=directory, caption="Select Output Folder", options=QFileDialog.ShowDirsOnly + ) if _export_folder: data, metadata = self.get_data_metadata_from_selection_tab() @@ -29,37 +28,34 @@ def configuration(self): o_get = Get(parent=self.parent) [x0, y0, x1, y1, width, height] = o_get.selection_roi_dimension() - name_of_ascii_file = ExportHandler.makeup_name_of_profile_ascii_file(base_name=str(base_folder.name), - export_folder=_export_folder, - x0=x0, y0=y0, - width=width, - height=height) + name_of_ascii_file = ExportHandler.makeup_name_of_profile_ascii_file( + base_name=str(base_folder.name), export_folder=_export_folder, x0=x0, y0=y0, width=width, height=height + ) - make_ascii_file(metadata=metadata, - data=data, - output_file_name=name_of_ascii_file, - dim='1d') + make_ascii_file(metadata=metadata, data=data, output_file_name=name_of_ascii_file, dim="1d") - self.parent.ui.statusbar.showMessage("{} has been created!".format(name_of_ascii_file), 10000) # 10s + self.parent.ui.statusbar.showMessage(f"{name_of_ascii_file} has been created!", 10000) # 10s self.parent.ui.statusbar.setStyleSheet("color: green") @staticmethod - def makeup_name_of_profile_ascii_file(base_name="default", - export_folder="./", - x0=None, y0=None, width=None, height=None): + def makeup_name_of_profile_ascii_file( + base_name="default", export_folder="./", x0=None, y0=None, width=None, height=None + ): """this will return the full path name of the ascii file to create that will contain all the profiles starting with the selection box and all the way to the minimal size""" - full_base_name = "full_set_of_shrinkable_region_profiles_from_" + \ - "x{}_y{}_w{}_h{}_for_folder_{}.txt".format(x0, y0, width, height, base_name) + full_base_name = ( + "full_set_of_shrinkable_region_profiles_from_" + + f"x{x0}_y{y0}_w{width}_h{height}_for_folder_{base_name}.txt" + ) return str(Path(export_folder) / full_base_name) def get_data_metadata_from_selection_tab(self): base_folder = Path(self.parent.working_dir) o_get = Get(parent=self.parent) - index_axis, _ = o_get.specified_x_axis(xaxis='index') - tof_axis, _ = o_get.specified_x_axis(xaxis='tof') - lambda_axis, _ = o_get.specified_x_axis('lambda') + index_axis, _ = o_get.specified_x_axis(xaxis="index") + tof_axis, _ = o_get.specified_x_axis(xaxis="tof") + lambda_axis, _ = o_get.specified_x_axis("lambda") fitting_peak_range = self.parent.bragg_edge_range distance_detector_sample = str(self.parent.ui.distance_detector_sample.text()) detector_offset = str(self.parent.ui.detector_offset.text()) @@ -67,21 +63,20 @@ def get_data_metadata_from_selection_tab(self): march_dollase_fitting_values = self.collect_all_march_dollase_fitting_values() dict_regions = o_get.all_russian_doll_region_full_infos() - metadata = ExportHandler.make_metadata(base_folder=base_folder, - fitting_peak_range=fitting_peak_range, - dict_regions=dict_regions, - distance_detector_sample=distance_detector_sample, - detector_offset=detector_offset, - kropff_fitting_values=kropff_fitting_values, - march_dollase_fitting_values=march_dollase_fitting_values) + metadata = ExportHandler.make_metadata( + base_folder=base_folder, + fitting_peak_range=fitting_peak_range, + dict_regions=dict_regions, + distance_detector_sample=distance_detector_sample, + detector_offset=detector_offset, + kropff_fitting_values=kropff_fitting_values, + march_dollase_fitting_values=march_dollase_fitting_values, + ) self.add_fitting_infos_to_metadata(metadata) metadata.append("#") metadata.append("#File Index, TOF(micros), lambda(Angstroms), ROIs (see above)") - data = ExportHandler.format_data(col1=index_axis, - col2=tof_axis, - col3=lambda_axis, - dict_regions=dict_regions) + data = ExportHandler.format_data(col1=index_axis, col2=tof_axis, col3=lambda_axis, dict_regions=dict_regions) return data, metadata @@ -90,57 +85,61 @@ def add_fitting_infos_to_metadata(self, metadata): fitting_algorithm_used = o_tab.get_tab_selected(tab_ui=self.parent.ui.tab_algorithm) # fitting_rois = self.fitting_rois # fitting_flag = True if self.parent.fitting_peak_ui else False - metadata.append("#fitting algorithm selected: {}".format(fitting_algorithm_used)) - metadata.append("#kropff fitting procedure started: {}".format( - self.parent.fitting_procedure_started['kropff'])) - metadata.append("#Bragg peak selection range: [{}, {}]".format(self.parent.kropff_fitting_range[ - 'bragg_peak'][0], - self.parent.kropff_fitting_range['bragg_peak'][ - 1])) + metadata.append(f"#fitting algorithm selected: {fitting_algorithm_used}") + metadata.append("#kropff fitting procedure started: {}".format(self.parent.fitting_procedure_started["kropff"])) + metadata.append( + "#Bragg peak selection range: [{}, {}]".format( + self.parent.kropff_fitting_range["bragg_peak"][0], self.parent.kropff_fitting_range["bragg_peak"][1] + ) + ) # kropff for _key in self.parent.kropff_fitting_range.keys(): - metadata.append("#kropff {} selection range: [{}, {}]".format(_key, - self.parent.kropff_fitting_range[_key][0], - self.parent.kropff_fitting_range[_key][1])) + metadata.append( + f"#kropff {_key} selection range: [{self.parent.kropff_fitting_range[_key][0]}, {self.parent.kropff_fitting_range[_key][1]}]" + ) # March-dollase [left_peak, right_peak] = self.parent.march_dollase_fitting_range_selected - metadata.append("#march-dollase bragg peak selection range: [{}, {}]".format(left_peak, right_peak)) - metadata.append("#march-dollase fitting procedure started: {}".format( - self.parent.fitting_procedure_started['march-dollase'])) + metadata.append(f"#march-dollase bragg peak selection range: [{left_peak}, {right_peak}]") + metadata.append( + "#march-dollase fitting procedure started: {}".format( + self.parent.fitting_procedure_started["march-dollase"] + ) + ) for _row_index, _row_entry in enumerate(self.parent.march_dollase_fitting_history_table): str_row_entry = [str(_value) for _value in _row_entry] joined_str_row_entry = ", ".join(str_row_entry) - metadata.append("#march-dollase history table row {}: {}".format(_row_index, joined_str_row_entry)) + metadata.append(f"#march-dollase history table row {_row_index}: {joined_str_row_entry}") - sigma = self.parent.march_dollase_fitting_initial_parameters['sigma'] - alpha = self.parent.march_dollase_fitting_initial_parameters['alpha'] + sigma = self.parent.march_dollase_fitting_initial_parameters["sigma"] + alpha = self.parent.march_dollase_fitting_initial_parameters["alpha"] - metadata.append("#march-dollase history init sigma: {}".format(sigma)) - metadata.append("#march-dollase history init alpha: {}".format(alpha)) + metadata.append(f"#march-dollase history init sigma: {sigma}") + metadata.append(f"#march-dollase history init alpha: {alpha}") def collect_all_march_dollase_fitting_values(self): march_fitting_values = OrderedDict() fitting_input_dictionary = self.parent.fitting_input_dictionary - for _row in fitting_input_dictionary['rois'].keys(): - _entry = fitting_input_dictionary['rois'][_row]['fitting']['march_dollase'] - - march_fitting_values[_row] = {'d_spacing' : _entry['d_spacing'], - 'sigma' : _entry['sigma'], - 'alpha' : _entry['alpha'], - 'a1' : _entry['a1'], - 'a2' : _entry['a2'], - 'a5' : _entry['a5'], - 'a6' : _entry['a6'], - 'd_spacing_error': _entry['d_spacing_error'], - 'sigma_error' : _entry['sigma_error'], - 'alpha_error' : _entry['alpha_error'], - 'a1_error' : _entry['a1_error'], - 'a2_error' : _entry['a2_error'], - 'a5_error' : _entry['a5_error'], - 'a6_error' : _entry['a6_error'], - } + for _row in fitting_input_dictionary["rois"].keys(): + _entry = fitting_input_dictionary["rois"][_row]["fitting"]["march_dollase"] + + march_fitting_values[_row] = { + "d_spacing": _entry["d_spacing"], + "sigma": _entry["sigma"], + "alpha": _entry["alpha"], + "a1": _entry["a1"], + "a2": _entry["a2"], + "a5": _entry["a5"], + "a6": _entry["a6"], + "d_spacing_error": _entry["d_spacing_error"], + "sigma_error": _entry["sigma_error"], + "alpha_error": _entry["alpha_error"], + "a1_error": _entry["a1_error"], + "a2_error": _entry["a2_error"], + "a5_error": _entry["a5_error"], + "a6_error": _entry["a6_error"], + } return march_fitting_values def collect_all_kropff_fitting_values(self): @@ -148,108 +147,94 @@ def collect_all_kropff_fitting_values(self): fitting_input_dictionary = self.parent.fitting_input_dictionary - for _row in fitting_input_dictionary['rois'].keys(): - _entry = fitting_input_dictionary['rois'][_row]['fitting']['kropff'] - - _entry_high = _entry['high'] - _entry_low = _entry['low'] - _entry_bragg_peak = _entry['bragg_peak'] - kropff_fitting_values[_row] = {'a0' : _entry_high['a0'], - 'b0' : _entry_high['b0'], - 'a0_error' : _entry_high['a0_error'], - 'b0_error' : _entry_high['b0_error'], - 'ahkl' : _entry_low['ahkl'], - 'bhkl' : _entry_low['bhkl'], - 'ahkl_error' : _entry_low['ahkl_error'], - 'bhkl_error' : _entry_low['bhkl_error'], - 'ldahkl' : _entry_bragg_peak['ldahkl'], - 'tau' : _entry_bragg_peak['tau'], - 'sigma' : _entry_bragg_peak['sigma'], - 'ldahkl_error': _entry_bragg_peak['ldahkl_error'], - 'tau_error' : _entry_bragg_peak['tau_error'], - 'sigma_error' : _entry_bragg_peak['sigma_error'], - } + for _row in fitting_input_dictionary["rois"].keys(): + _entry = fitting_input_dictionary["rois"][_row]["fitting"]["kropff"] + + _entry_high = _entry["high"] + _entry_low = _entry["low"] + _entry_bragg_peak = _entry["bragg_peak"] + kropff_fitting_values[_row] = { + "a0": _entry_high["a0"], + "b0": _entry_high["b0"], + "a0_error": _entry_high["a0_error"], + "b0_error": _entry_high["b0_error"], + "ahkl": _entry_low["ahkl"], + "bhkl": _entry_low["bhkl"], + "ahkl_error": _entry_low["ahkl_error"], + "bhkl_error": _entry_low["bhkl_error"], + "ldahkl": _entry_bragg_peak["ldahkl"], + "tau": _entry_bragg_peak["tau"], + "sigma": _entry_bragg_peak["sigma"], + "ldahkl_error": _entry_bragg_peak["ldahkl_error"], + "tau_error": _entry_bragg_peak["tau_error"], + "sigma_error": _entry_bragg_peak["sigma_error"], + } return kropff_fitting_values @staticmethod - def make_metadata(base_folder=None, - fitting_peak_range=None, - dict_regions=None, - distance_detector_sample="", - detector_offset="", - kropff_fitting_values=None, - march_dollase_fitting_values=None): - - metadata = ["#base folder: {}".format(base_folder)] - metadata.append("#fitting peak range in file index: [{}, {}]".format(fitting_peak_range[0], - fitting_peak_range[1])) - metadata.append("#distance detector-sample: {}".format(distance_detector_sample)) - metadata.append("#detector offset: {}".format(detector_offset)) + def make_metadata( + base_folder=None, + fitting_peak_range=None, + dict_regions=None, + distance_detector_sample="", + detector_offset="", + kropff_fitting_values=None, + march_dollase_fitting_values=None, + ): + metadata = [f"#base folder: {base_folder}"] + metadata.append(f"#fitting peak range in file index: [{fitting_peak_range[0]}, {fitting_peak_range[1]}]") + metadata.append(f"#distance detector-sample: {distance_detector_sample}") + metadata.append(f"#detector offset: {detector_offset}") for _row, _key in enumerate(dict_regions.keys()): _entry = dict_regions[_key] - x0 = _entry['x0'] - y0 = _entry['y0'] - width = _entry['width'] - height = _entry['height'] + x0 = _entry["x0"] + y0 = _entry["y0"] + width = _entry["width"] + height = _entry["height"] _entry_kropff = kropff_fitting_values[_row] - a0 = _entry_kropff['a0'] - b0 = _entry_kropff['b0'] - a0_error = _entry_kropff['a0_error'] - b0_error = _entry_kropff['b0_error'] - ahkl = _entry_kropff['ahkl'] - bhkl = _entry_kropff['bhkl'] - ahkl_error = _entry_kropff['ahkl_error'] - bhkl_error = _entry_kropff['bhkl_error'] - ldahkl = _entry_kropff['ldahkl'] - tau = _entry_kropff['tau'] - sigma = _entry_kropff['sigma'] - ldahkl_error = _entry_kropff['ldahkl_error'] - tau_error = _entry_kropff['tau_error'] - sigma_error = _entry_kropff['sigma_error'] + a0 = _entry_kropff["a0"] + b0 = _entry_kropff["b0"] + a0_error = _entry_kropff["a0_error"] + b0_error = _entry_kropff["b0_error"] + ahkl = _entry_kropff["ahkl"] + bhkl = _entry_kropff["bhkl"] + ahkl_error = _entry_kropff["ahkl_error"] + bhkl_error = _entry_kropff["bhkl_error"] + ldahkl = _entry_kropff["ldahkl"] + tau = _entry_kropff["tau"] + sigma = _entry_kropff["sigma"] + ldahkl_error = _entry_kropff["ldahkl_error"] + tau_error = _entry_kropff["tau_error"] + sigma_error = _entry_kropff["sigma_error"] _entry_march = march_dollase_fitting_values[_row] - d_spacing = _entry_march['d_spacing'] - sigma1 = _entry_march['sigma'] - alpha = _entry_march['alpha'] - a1 = _entry_march['a1'] - a2 = _entry_march['a2'] - a5 = _entry_march['a5'] - a6 = _entry_march['a6'] - d_spacing_error = _entry_march['d_spacing_error'] - sigma1_error = _entry_march['sigma_error'] - alpha_error = _entry_march['alpha_error'] - a1_error = _entry_march['a1_error'] - a2_error = _entry_march['a2_error'] - a5_error = _entry_march['a5_error'] - a6_error = _entry_march['a6_error'] - - metadata.append("#column {} -> x0:{}, y0:{}, width:{}, height:{}," - " kropff: a0:{}, b0:{}, a0_error:{}, b0_error:{}," - " ahkl:{}, bhkl:{}, ahkl_error:{}, bhkl_error:{}," - " ldahkl:{}, tau:{}, sigma:{}," - " ldahkl_error:{}, tau_error:{}, sigma_error:{}," - " march_dollase: d_spacing:{}, sigma:{}, alpha:{}," - " a1:{}, a2:{}, a5:{}, a6:{}," - " d_spacing_error:{}, sigma_error:{}, alpha_error:{}," - " a1_error:{}, a2_error:{}, a5_error:{}, a6_error:{}".format(_key + 3, - x0, y0, - width, height, - a0, b0, a0_error, b0_error, - ahkl, bhkl, - ahkl_error, - bhkl_error, - ldahkl, tau, sigma, - ldahkl_error, - tau_error, - sigma_error, - d_spacing, - sigma1, alpha, - a1, a2, a5, a6, - d_spacing_error, - sigma1_error, alpha_error, - a1_error, a2_error, a5_error, - a6_error)) + d_spacing = _entry_march["d_spacing"] + sigma1 = _entry_march["sigma"] + alpha = _entry_march["alpha"] + a1 = _entry_march["a1"] + a2 = _entry_march["a2"] + a5 = _entry_march["a5"] + a6 = _entry_march["a6"] + d_spacing_error = _entry_march["d_spacing_error"] + sigma1_error = _entry_march["sigma_error"] + alpha_error = _entry_march["alpha_error"] + a1_error = _entry_march["a1_error"] + a2_error = _entry_march["a2_error"] + a5_error = _entry_march["a5_error"] + a6_error = _entry_march["a6_error"] + + metadata.append( + f"#column {_key + 3} -> x0:{x0}, y0:{y0}, width:{width}, height:{height}," + f" kropff: a0:{a0}, b0:{b0}, a0_error:{a0_error}, b0_error:{b0_error}," + f" ahkl:{ahkl}, bhkl:{bhkl}, ahkl_error:{ahkl_error}, bhkl_error:{bhkl_error}," + f" ldahkl:{ldahkl}, tau:{tau}, sigma:{sigma}," + f" ldahkl_error:{ldahkl_error}, tau_error:{tau_error}, sigma_error:{sigma_error}," + f" march_dollase: d_spacing:{d_spacing}, sigma:{sigma1}, alpha:{alpha}," + f" a1:{a1}, a2:{a2}, a5:{a5}, a6:{a6}," + f" d_spacing_error:{d_spacing_error}, sigma_error:{sigma1_error}, alpha_error:{alpha_error}," + f" a1_error:{a1_error}, a2_error:{a2_error}, a5_error:{a5_error}, a6_error:{a6_error}" + ) return metadata @@ -259,14 +244,14 @@ def format_data(col1=None, col2=None, col3=None, dict_regions=None): return [] data = [] - profile_length = len(dict_regions[0]['profile']) + profile_length = len(dict_regions[0]["profile"]) for _row_index in np.arange(profile_length): list_profile_for_this_row = [] for _key in dict_regions.keys(): - _profile = dict_regions[_key]['profile'] + _profile = dict_regions[_key]["profile"] list_profile_for_this_row.append(str(_profile[_row_index])) _col1 = col1[_row_index] _col2 = col2[_row_index] _col3 = col3[_row_index] - data.append("{}, {}, {}, ".format(_col1, _col2, _col3) + ", ".join(list_profile_for_this_row)) + data.append(f"{_col1}, {_col2}, {_col3}, " + ", ".join(list_profile_for_this_row)) return data diff --git a/notebooks/__code/bragg_edge/fitting_functions.py b/notebooks/__code/bragg_edge/fitting_functions.py index 3fdeb5e4..ff991e68 100755 --- a/notebooks/__code/bragg_edge/fitting_functions.py +++ b/notebooks/__code/bragg_edge/fitting_functions.py @@ -1,6 +1,7 @@ +import math + import numpy as np from scipy import special -import math def kropff_high_lambda(lda, a0, b0): @@ -11,7 +12,7 @@ def kropff_high_lambda(lda, a0, b0): a0 parameter to fit b0 parameter to fit """ - if (a0 == np.NaN) or (b0 == np.NaN): + if (a0 == np.nan) or (b0 == np.nan): return None exp_expression = np.exp(-(a0 + b0 * lda)) return exp_expression @@ -27,7 +28,7 @@ def kropff_low_lambda(lda, a0, b0, ahkl, bhkl): ahkl parameter to fit bhkl parameter to fit """ - if (a0 == np.NaN) or (b0 == np.NaN) or (ahkl == np.NaN) or (bhkl == np.NaN): + if (a0 == np.nan) or (b0 == np.nan) or (ahkl == np.nan) or (bhkl == np.nan): return None exp_expression_1 = np.exp(-(a0 + b0 * lda)) exp_expression_2 = np.exp(-(ahkl + bhkl * lda)) @@ -60,7 +61,7 @@ def B(ldahkl, sigma, tau, lda): exp_expression_1 = np.exp(-(a0 + b0 * lda)) exp_expression_2 = np.exp(-(ahkl + bhkl * lda)) - final_part1 = (B(ldahkl, sigma, tau, lda) * exp_expression_1) + final_part1 = B(ldahkl, sigma, tau, lda) * exp_expression_1 final_part2 = (1 - B(ldahkl, sigma, tau, lda)) * exp_expression_1 * exp_expression_2 return final_part1 + final_part2 diff --git a/notebooks/__code/bragg_edge/get.py b/notebooks/__code/bragg_edge/get.py index 9b193129..fc39f48c 100755 --- a/notebooks/__code/bragg_edge/get.py +++ b/notebooks/__code/bragg_edge/get.py @@ -1,39 +1,43 @@ import numpy as np +from __code._utilities.get import Get as TopGet from __code.bragg_edge.bragg_edge_peak_fitting_gui_utility import GuiUtility from __code.selection_region_utilities import SelectionRegionUtilities -from __code._utilities.get import Get as TopGet class Get(TopGet): - def __init__(self, parent=None): self.parent = parent - self.x_axis_choice_ui = {'selection': {'index' : self.parent.ui.selection_index_radiobutton, - 'tof' : self.parent.ui.selection_tof_radiobutton, - 'lambda': self.parent.ui.selection_lambda_radiobutton}, - 'fitting' : {'index' : self.parent.ui.fitting_index_radiobutton, - 'tof' : self.parent.ui.fitting_tof_radiobutton, - 'lambda': self.parent.ui.fitting_lambda_radiobutton}, - } - - def specified_x_axis(self, xaxis='index'): + self.x_axis_choice_ui = { + "selection": { + "index": self.parent.ui.selection_index_radiobutton, + "tof": self.parent.ui.selection_tof_radiobutton, + "lambda": self.parent.ui.selection_lambda_radiobutton, + }, + "fitting": { + "index": self.parent.ui.fitting_index_radiobutton, + "tof": self.parent.ui.fitting_tof_radiobutton, + "lambda": self.parent.ui.fitting_lambda_radiobutton, + }, + } + + def specified_x_axis(self, xaxis="index"): # if self.parent.is_file_imported: # return self.parent.fitting_input_dictionary['xaxis'][xaxis] # else: label = self.parent.xaxis_label[xaxis] - if xaxis == 'index': + if xaxis == "index": return self.parent.index_array, label - elif xaxis == 'tof': + elif xaxis == "tof": return self.parent.tof_array_s * 1e6, label - elif xaxis == 'lambda': + elif xaxis == "lambda": return self.parent.lambda_array, label else: raise NotImplementedError - def x_axis_label(self, x_axis_selected='index'): - x_axis_dict = self.parent.fitting_input_dictionary['xaxis'] + def x_axis_label(self, x_axis_selected="index"): + x_axis_dict = self.parent.fitting_input_dictionary["xaxis"] return x_axis_dict[x_axis_selected][1] def x_axis_checked(self): @@ -42,34 +46,36 @@ def x_axis_checked(self): list_ui = self.x_axis_choice_ui[tab_selected] - if list_ui['index'].isChecked(): - return 'index' - elif list_ui['tof'].isChecked(): - return 'tof' + if list_ui["index"].isChecked(): + return "index" + elif list_ui["tof"].isChecked(): + return "tof" else: - return 'lambda' + return "lambda" def x_axis(self): o_gui = GuiUtility(parent=self.parent) tab_selected = o_gui.get_tab_selected(self.parent.ui.tabWidget).lower() list_ui = self.x_axis_choice_ui[tab_selected] - if list_ui['index'].isChecked(): - return self.specified_x_axis(xaxis='index') - elif list_ui['tof'].isChecked(): - return self.specified_x_axis(xaxis='tof') + if list_ui["index"].isChecked(): + return self.specified_x_axis(xaxis="index") + elif list_ui["tof"].isChecked(): + return self.specified_x_axis(xaxis="tof") else: - return self.specified_x_axis(xaxis='lambda') + return self.specified_x_axis(xaxis="lambda") def all_x_axis(self): - all_x_axis = {'index' : self.specified_x_axis(xaxis='index'), - 'tof' : self.specified_x_axis(xaxis='tof'), - 'lambda': self.specified_x_axis(xaxis='lambda')} + all_x_axis = { + "index": self.specified_x_axis(xaxis="index"), + "tof": self.specified_x_axis(xaxis="tof"), + "lambda": self.specified_x_axis(xaxis="lambda"), + } return all_x_axis def all_russian_doll_region_full_infos(self): if self.parent.is_file_imported: - dict_regions = self.parent.fitting_input_dictionary['rois'] + dict_regions = self.parent.fitting_input_dictionary["rois"] else: # collect initial selection size (x0, y0, width, height) [x0, y0, x1, y1, width, height] = self.selection_roi_dimension() @@ -85,8 +91,7 @@ def selection_roi_dimension(self): x0, y0, x1, y1, width, height = None, None, None, None, None, None if roi_id: - region = roi_id.getArraySlice(self.parent.final_image, - self.parent.ui.image_view.imageItem) + region = roi_id.getArraySlice(self.parent.final_image, self.parent.ui.image_view.imageItem) x0 = region[0][0].start x1 = region[0][0].stop y0 = region[0][1].start @@ -107,62 +112,63 @@ def profile_of_roi(self, x0=None, y0=None, x1=None, y1=None, width=None, height= if height: y1 = y0 + height - for _image in self.parent.o_norm.data['sample']['data']: + for _image in self.parent.o_norm.data["sample"]["data"]: _value = np.mean(_image[y0:y1, x0:x1]) profile_value.append(_value) return profile_value - def requested_xaxis(self, xaxis_label='index'): - if xaxis_label == 'index': - return self.parent.dict_profile_to_fit['xaxis']['index'], self.parent.xaxis_label['index'] - elif xaxis_label == 'tof': - return self.parent.dict_profile_to_fit['xaxis']['tof'], self.parent.xaxis_label['tof'] - elif xaxis_label == 'lambda': - return self.parent.dict_profile_to_fit['xaxis']['lambda'], self.parent.xaxis_label['lambda'] + def requested_xaxis(self, xaxis_label="index"): + if xaxis_label == "index": + return self.parent.dict_profile_to_fit["xaxis"]["index"], self.parent.xaxis_label["index"] + elif xaxis_label == "tof": + return self.parent.dict_profile_to_fit["xaxis"]["tof"], self.parent.xaxis_label["tof"] + elif xaxis_label == "lambda": + return self.parent.dict_profile_to_fit["xaxis"]["lambda"], self.parent.xaxis_label["lambda"] def fitting_profile_xaxis(self): if self.parent.ui.fitting_tof_radiobutton.isChecked(): - return self.requested_xaxis(xaxis_label='tof') + return self.requested_xaxis(xaxis_label="tof") elif self.ui.fitting_index_radiobutton.isChecked(): - return self.requested_xaxis(xaxis_label='index') + return self.requested_xaxis(xaxis_label="index") else: - return self.requested_xaxis(xaxis_label='lambda') + return self.requested_xaxis(xaxis_label="lambda") def part_of_fitting_selected(self): """high, low or bragg_peak""" list_pages = ["Bragg peak selection", "high", "low", "bragg_peak"] - list_table_ui = [None, - self.parent.ui.high_lda_tableWidget, - self.parent.ui.low_lda_tableWidget, - self.parent.ui.bragg_edge_tableWidget] + list_table_ui = [ + None, + self.parent.ui.high_lda_tableWidget, + self.parent.ui.low_lda_tableWidget, + self.parent.ui.bragg_edge_tableWidget, + ] page_index = self.parent.ui.kropff_toolBox.currentIndex() - return {'name_of_page': list_pages[page_index], - 'table_ui' : list_table_ui[page_index]} + return {"name_of_page": list_pages[page_index], "table_ui": list_table_ui[page_index]} def y_axis_data_of_selected_row(self, row_selected): - selected_roi = self.parent.fitting_input_dictionary['rois'][row_selected] - yaxis = selected_roi['profile'] + selected_roi = self.parent.fitting_input_dictionary["rois"][row_selected] + yaxis = selected_roi["profile"] [left_xaxis_index, right_xaxis_index] = self.parent.bragg_edge_range - yaxis = yaxis[left_xaxis_index: right_xaxis_index] + yaxis = yaxis[left_xaxis_index:right_xaxis_index] return yaxis - def x_axis_data(self, x_axis_selected='index'): - xaxis_dict = self.parent.fitting_input_dictionary['xaxis'] + def x_axis_data(self, x_axis_selected="index"): + xaxis_dict = self.parent.fitting_input_dictionary["xaxis"] xaxis_index, xaxis_label = xaxis_dict[x_axis_selected] [left_xaxis_index, right_xaxis_index] = self.parent.bragg_edge_range - xaxis = xaxis_index[left_xaxis_index: right_xaxis_index] + xaxis = xaxis_index[left_xaxis_index:right_xaxis_index] return xaxis @staticmethod - def units(name='index'): - if name == 'index': - return 'file index' - elif name == 'tof': - return u"\u03BCs" - elif name == 'lambda': - return u"\u212B" + def units(name="index"): + if name == "index": + return "file index" + elif name == "tof": + return "\u03bcs" + elif name == "lambda": + return "\u212b" else: return "" diff --git a/notebooks/__code/bragg_edge/import_handler.py b/notebooks/__code/bragg_edge/import_handler.py index f044705c..92b084f7 100755 --- a/notebooks/__code/bragg_edge/import_handler.py +++ b/notebooks/__code/bragg_edge/import_handler.py @@ -1,44 +1,42 @@ +from collections import OrderedDict from pathlib import Path -from qtpy.QtWidgets import QFileDialog + import numpy as np -from collections import OrderedDict +from qtpy.QtWidgets import QFileDialog -from __code.file_handler import read_bragg_edge_fitting_ascii_format -from __code.bragg_edge.peak_fitting_initialization import PeakFittingInitialization -from __code.bragg_edge.fitting_functions import kropff_high_lambda, kropff_low_lambda, kropff_bragg_peak_tof from __code.bragg_edge.bragg_edge_peak_fitting_gui_utility import GuiUtility from __code.bragg_edge.bragg_edge_selection_tab import BraggEdgeSelectionTab +from __code.bragg_edge.fitting_functions import kropff_bragg_peak_tof, kropff_high_lambda, kropff_low_lambda from __code.bragg_edge.kropff import Kropff from __code.bragg_edge.march_dollase import MarchDollase +from __code.bragg_edge.peak_fitting_initialization import PeakFittingInitialization +from __code.file_handler import read_bragg_edge_fitting_ascii_format class ImportHandler: - def __init__(self, parent=None): self.parent = parent def run(self): working_dir = str(Path(self.parent.working_dir).parent) - ascii_file = QFileDialog.getOpenFileName(self.parent, - caption="Select ASCII file", - directory=working_dir, - filter="ASCII (*.txt)") + ascii_file = QFileDialog.getOpenFileName( + self.parent, caption="Select ASCII file", directory=working_dir, filter="ASCII (*.txt)" + ) if ascii_file[0]: - self.parent.full_reset_of_ui() self.parent.block_table_ui(True) self.parent.is_file_imported = True result_of_import = read_bragg_edge_fitting_ascii_format(full_file_name=str(ascii_file[0])) - self.save_initial_roi_dimension_from_config_file(result_of_import['metadata']['columns']['3']) - self.save_march_dollase_parameters(result_of_import['metadata']) - self.parent.bragg_edge_range = result_of_import['metadata']['bragg_edge_range'] - self.parent.bragg_peak_selection_range = result_of_import['metadata']['bragg_peak_selection_range'] + self.save_initial_roi_dimension_from_config_file(result_of_import["metadata"]["columns"]["3"]) + self.save_march_dollase_parameters(result_of_import["metadata"]) + self.parent.bragg_edge_range = result_of_import["metadata"]["bragg_edge_range"] + self.parent.bragg_peak_selection_range = result_of_import["metadata"]["bragg_peak_selection_range"] self.update_selection_tab(result_of_import=result_of_import) self.update_interface(result_of_import=result_of_import) - self.parent.ui.statusbar.showMessage("{} has been imported!".format(ascii_file[0]), 10000) # 10s + self.parent.ui.statusbar.showMessage(f"{ascii_file[0]} has been imported!", 10000) # 10s self.parent.ui.statusbar.setStyleSheet("color: green") o_selection = BraggEdgeSelectionTab(parent=self.parent) @@ -49,11 +47,12 @@ def run(self): self.parent.ui.tabWidget.setEnabled(True) self.parent.ui.actionExport.setEnabled(True) - self.parent.fitting_procedure_started['kropff'] = result_of_import.get('metadata').get('kropff fitting ' - 'procedure ' - 'started', False) - self.parent.fitting_procedure_started['march-dollase'] = result_of_import.get('metadata').get( - 'march-dollase fitting procedure started', False) + self.parent.fitting_procedure_started["kropff"] = result_of_import.get("metadata").get( + "kropff fitting " "procedure " "started", False + ) + self.parent.fitting_procedure_started["march-dollase"] = result_of_import.get("metadata").get( + "march-dollase fitting procedure started", False + ) o_kropff = Kropff(parent=self.parent) o_kropff.reset_all_table() @@ -61,11 +60,11 @@ def run(self): o_march = MarchDollase(parent=self.parent) o_march.reset_table() - if result_of_import.get('metadata').get('kropff fitting procedure started', False): + if result_of_import.get("metadata").get("kropff fitting procedure started", False): # fill tables with minimum contains o_kropff.fill_table_with_fitting_information() - if result_of_import.get('metadata').get('march-dollase fitting procedure started', False): + if result_of_import.get("metadata").get("march-dollase fitting procedure started", False): # fill tables with minimum contains o_march.fill_tables_with_fitting_information() o_march.fill_history_table_with_fitting_information() @@ -83,20 +82,20 @@ def run(self): o_gui.check_status_of_kropff_fitting_buttons() def update_interface(self, result_of_import=None): - self.create_fitting_input_dictionary_from_imported_ascii_file(result_of_import=result_of_import) - self.parent.tof_array_s = self.parent.fitting_input_dictionary['xaxis']['tof'][0] * 1e-6 - self.parent.lambda_array = self.parent.fitting_input_dictionary['xaxis']['lambda'][0] - self.parent.index_array = self.parent.fitting_input_dictionary['xaxis']['index'][0] + self.create_fitting_input_dictionary_from_imported_ascii_file(result_of_import=result_of_import) + self.parent.tof_array_s = self.parent.fitting_input_dictionary["xaxis"]["tof"][0] * 1e-6 + self.parent.lambda_array = self.parent.fitting_input_dictionary["xaxis"]["lambda"][0] + self.parent.index_array = self.parent.fitting_input_dictionary["xaxis"]["index"][0] def update_selection_tab(self, result_of_import=None): - self.parent.ui.distance_detector_sample.setText(result_of_import['metadata']['distance_detector_sample']) - self.parent.ui.detector_offset.setText(result_of_import['metadata']['detector_offset']) + self.parent.ui.distance_detector_sample.setText(result_of_import["metadata"]["distance_detector_sample"]) + self.parent.ui.detector_offset.setText(result_of_import["metadata"]["detector_offset"]) self.parent.disable_left_part_of_selection_tab() self.parent.ui.info_message_about_cyan.setVisible(False) def save_march_dollase_parameters(self, metadata_dict): - march_dollase_history_table = metadata_dict['march-dollase history table'] - march_dollase_history_init = metadata_dict['march-dollase history init'] + march_dollase_history_table = metadata_dict["march-dollase history table"] + march_dollase_history_init = metadata_dict["march-dollase history init"] march_dollase_fitting_history_table = [] for _row_index in march_dollase_history_table.keys(): @@ -110,189 +109,236 @@ def save_march_dollase_parameters(self, metadata_dict): _row_flag.append(_flag) march_dollase_fitting_history_table.append(_row_flag) - march_dollase_fitting_initial_parameters = {'sigma': march_dollase_history_init['sigma'], - 'alpha': march_dollase_history_init['alpha'], - 'd_spacing': np.NaN, - 'a1': np.NaN, - 'a2': np.NaN, - 'a5': np.NaN, - 'a6': np.NaN} + march_dollase_fitting_initial_parameters = { + "sigma": march_dollase_history_init["sigma"], + "alpha": march_dollase_history_init["alpha"], + "d_spacing": np.nan, + "a1": np.nan, + "a2": np.nan, + "a5": np.nan, + "a6": np.nan, + } self.parent.march_dollase_fitting_history_table = march_dollase_fitting_history_table self.parent.march_dollase_fitting_initial_parameters = march_dollase_fitting_initial_parameters - self.parent.march_dollase_fitting_range_selected = metadata_dict['march-dollase bragg peak selection range'] + self.parent.march_dollase_fitting_range_selected = metadata_dict["march-dollase bragg peak selection range"] def save_initial_roi_dimension_from_config_file(self, column_3_dict): """column_3_dict = {'x0': value, 'y0': value, 'width': value, 'height': value}""" - self.parent.roi_dimension_from_config_file = [column_3_dict['x0'], - column_3_dict['y0'], - None, None, - column_3_dict['width'], - column_3_dict['height']] + self.parent.roi_dimension_from_config_file = [ + column_3_dict["x0"], + column_3_dict["y0"], + None, + None, + column_3_dict["width"], + column_3_dict["height"], + ] def create_fitting_input_dictionary_from_imported_ascii_file(self, result_of_import): - metadata = result_of_import['metadata'] - self.parent.kropff_fitting_range['high'] = metadata['kropff_high'] - self.parent.kropff_fitting_range['low'] = metadata['kropff_low'] - self.parent.kropff_fitting_range['bragg_peak'] = metadata['kropff_bragg_peak'] + metadata = result_of_import["metadata"] + self.parent.kropff_fitting_range["high"] = metadata["kropff_high"] + self.parent.kropff_fitting_range["low"] = metadata["kropff_low"] + self.parent.kropff_fitting_range["bragg_peak"] = metadata["kropff_bragg_peak"] - self.parent.working_dir = metadata['base_folder'] - self.parent.bragg_edge_range = metadata['bragg_edge_range'] + self.parent.working_dir = metadata["base_folder"] + self.parent.bragg_edge_range = metadata["bragg_edge_range"] - columns_roi = metadata['columns'] + columns_roi = metadata["columns"] o_init = PeakFittingInitialization(parent=self.parent) self.parent.fitting_input_dictionary = o_init.fitting_input_dictionary(nbr_rois=len(columns_roi)) - self.parent.fitting_input_dictionary['bragg_edge_range'] = metadata['bragg_edge_range'] + self.parent.fitting_input_dictionary["bragg_edge_range"] = metadata["bragg_edge_range"] - data = result_of_import['data'] - tof_array = np.array(data['tof']) - index_array = np.array(data['index']) - lambda_array = np.array(data['lambda']) + data = result_of_import["data"] + tof_array = np.array(data["tof"]) + index_array = np.array(data["index"]) + lambda_array = np.array(data["lambda"]) rois_dictionary = OrderedDict() - lda_array_of_peak_selected = lambda_array[self.parent.bragg_edge_range[0]: - self.parent.bragg_edge_range[1]] + lda_array_of_peak_selected = lambda_array[self.parent.bragg_edge_range[0] : self.parent.bragg_edge_range[1]] for col in np.arange(3, len(columns_roi) + 3): str_col = str(col) - col_index = col-3 + col_index = col - 3 # high lambda - self.parent.fitting_input_dictionary['rois'][col_index]['profile'] = np.array(data[str_col]) - self.parent.fitting_input_dictionary['rois'][col_index]['x0'] = columns_roi[str_col]['x0'] - self.parent.fitting_input_dictionary['rois'][col_index]['y0'] = columns_roi[str_col]['y0'] - self.parent.fitting_input_dictionary['rois'][col_index]['width'] = columns_roi[str_col]['width'] - self.parent.fitting_input_dictionary['rois'][col_index]['height'] = columns_roi[str_col]['height'] - self.parent.fitting_input_dictionary['rois'][col_index]['fitting']['kropff']['high']['a0'] = \ - columns_roi[str_col]['kropff']['a0'] - self.parent.fitting_input_dictionary['rois'][col_index]['fitting']['kropff']['high']['b0'] = \ - columns_roi[str_col]['kropff']['b0'] - self.parent.fitting_input_dictionary['rois'][col_index]['fitting']['kropff']['high']['a0_error'] = \ - columns_roi[str_col]['kropff']['a0_error'] - self.parent.fitting_input_dictionary['rois'][col_index]['fitting']['kropff']['high']['b0_error'] = \ - columns_roi[str_col]['kropff']['b0_error'] - - xaxis_to_fit = lda_array_of_peak_selected[self.parent.kropff_fitting_range['high'][0]: - self.parent.kropff_fitting_range['high'][1]] - self.parent.fitting_input_dictionary['rois'][col_index]['fitting']['kropff']['high']['xaxis_to_fit'] = \ - xaxis_to_fit - - kropff_a0 = np.NaN if columns_roi[str_col]['kropff']['a0'] == 'None' else float(columns_roi[str_col][ - 'kropff']['a0']) - kropff_b0 = np.NaN if columns_roi[str_col]['kropff']['b0'] == 'None' else float(columns_roi[str_col][ - 'kropff']['b0']) - yaxis_fitted = kropff_high_lambda(xaxis_to_fit, - kropff_a0, - kropff_b0) - self.parent.fitting_input_dictionary['rois'][col_index]['fitting']['kropff']['high']['yaxis_fitted'] = \ + self.parent.fitting_input_dictionary["rois"][col_index]["profile"] = np.array(data[str_col]) + self.parent.fitting_input_dictionary["rois"][col_index]["x0"] = columns_roi[str_col]["x0"] + self.parent.fitting_input_dictionary["rois"][col_index]["y0"] = columns_roi[str_col]["y0"] + self.parent.fitting_input_dictionary["rois"][col_index]["width"] = columns_roi[str_col]["width"] + self.parent.fitting_input_dictionary["rois"][col_index]["height"] = columns_roi[str_col]["height"] + self.parent.fitting_input_dictionary["rois"][col_index]["fitting"]["kropff"]["high"]["a0"] = columns_roi[ + str_col + ]["kropff"]["a0"] + self.parent.fitting_input_dictionary["rois"][col_index]["fitting"]["kropff"]["high"]["b0"] = columns_roi[ + str_col + ]["kropff"]["b0"] + self.parent.fitting_input_dictionary["rois"][col_index]["fitting"]["kropff"]["high"]["a0_error"] = ( + columns_roi[str_col]["kropff"]["a0_error"] + ) + self.parent.fitting_input_dictionary["rois"][col_index]["fitting"]["kropff"]["high"]["b0_error"] = ( + columns_roi[str_col]["kropff"]["b0_error"] + ) + + xaxis_to_fit = lda_array_of_peak_selected[ + self.parent.kropff_fitting_range["high"][0] : self.parent.kropff_fitting_range["high"][1] + ] + self.parent.fitting_input_dictionary["rois"][col_index]["fitting"]["kropff"]["high"]["xaxis_to_fit"] = ( + xaxis_to_fit + ) + + kropff_a0 = ( + np.nan + if columns_roi[str_col]["kropff"]["a0"] == "None" + else float(columns_roi[str_col]["kropff"]["a0"]) + ) + kropff_b0 = ( + np.nan + if columns_roi[str_col]["kropff"]["b0"] == "None" + else float(columns_roi[str_col]["kropff"]["b0"]) + ) + yaxis_fitted = kropff_high_lambda(xaxis_to_fit, kropff_a0, kropff_b0) + self.parent.fitting_input_dictionary["rois"][col_index]["fitting"]["kropff"]["high"]["yaxis_fitted"] = ( yaxis_fitted + ) # low lambda - self.parent.fitting_input_dictionary['rois'][col_index]['fitting']['kropff']['low']['ahkl'] = \ - columns_roi[str_col]['kropff']['ahkl'] - self.parent.fitting_input_dictionary['rois'][col_index]['fitting']['kropff']['low']['bhkl'] = \ - columns_roi[str_col]['kropff']['bhkl'] - self.parent.fitting_input_dictionary['rois'][col_index]['fitting']['kropff']['low']['ahkl_error'] = \ - columns_roi[str_col]['kropff']['ahkl_error'] - self.parent.fitting_input_dictionary['rois'][col_index]['fitting']['kropff']['low']['bhkl_error'] = \ - columns_roi[str_col]['kropff']['bhkl_error'] - - xaxis_to_fit = lda_array_of_peak_selected[self.parent.kropff_fitting_range['low'][0]: - self.parent.kropff_fitting_range['low'][1]] - self.parent.fitting_input_dictionary['rois'][col_index]['fitting']['kropff']['low']['xaxis_to_fit'] = \ - xaxis_to_fit - - kropff_ahkl = np.NaN if columns_roi[str_col]['kropff']['ahkl'] == 'None' else float(columns_roi[str_col][ - 'kropff']['ahkl']) - kropff_bhkl = np.NaN if columns_roi[str_col]['kropff']['bhkl'] == 'None' else float(columns_roi[str_col][ - 'kropff']['bhkl']) - - yaxis_fitted = kropff_low_lambda(xaxis_to_fit, - kropff_a0, - kropff_b0, - kropff_ahkl, - kropff_bhkl) - self.parent.fitting_input_dictionary['rois'][col_index]['fitting']['kropff']['low']['yaxis_fitted'] = \ + self.parent.fitting_input_dictionary["rois"][col_index]["fitting"]["kropff"]["low"]["ahkl"] = columns_roi[ + str_col + ]["kropff"]["ahkl"] + self.parent.fitting_input_dictionary["rois"][col_index]["fitting"]["kropff"]["low"]["bhkl"] = columns_roi[ + str_col + ]["kropff"]["bhkl"] + self.parent.fitting_input_dictionary["rois"][col_index]["fitting"]["kropff"]["low"]["ahkl_error"] = ( + columns_roi[str_col]["kropff"]["ahkl_error"] + ) + self.parent.fitting_input_dictionary["rois"][col_index]["fitting"]["kropff"]["low"]["bhkl_error"] = ( + columns_roi[str_col]["kropff"]["bhkl_error"] + ) + + xaxis_to_fit = lda_array_of_peak_selected[ + self.parent.kropff_fitting_range["low"][0] : self.parent.kropff_fitting_range["low"][1] + ] + self.parent.fitting_input_dictionary["rois"][col_index]["fitting"]["kropff"]["low"]["xaxis_to_fit"] = ( + xaxis_to_fit + ) + + kropff_ahkl = ( + np.nan + if columns_roi[str_col]["kropff"]["ahkl"] == "None" + else float(columns_roi[str_col]["kropff"]["ahkl"]) + ) + kropff_bhkl = ( + np.nan + if columns_roi[str_col]["kropff"]["bhkl"] == "None" + else float(columns_roi[str_col]["kropff"]["bhkl"]) + ) + + yaxis_fitted = kropff_low_lambda(xaxis_to_fit, kropff_a0, kropff_b0, kropff_ahkl, kropff_bhkl) + self.parent.fitting_input_dictionary["rois"][col_index]["fitting"]["kropff"]["low"]["yaxis_fitted"] = ( yaxis_fitted + ) # Bragg peak - self.parent.fitting_input_dictionary['rois'][col_index]['fitting']['kropff']['bragg_peak']['ldahkl'] = \ - columns_roi[str_col]['kropff']['ldahkl'] - self.parent.fitting_input_dictionary['rois'][col_index]['fitting']['kropff']['bragg_peak']['tau'] = \ - columns_roi[str_col]['kropff']['tau'] - self.parent.fitting_input_dictionary['rois'][col_index]['fitting']['kropff']['bragg_peak']['sigma'] = \ - columns_roi[str_col]['kropff']['sigma'] - self.parent.fitting_input_dictionary['rois'][col_index]['fitting']['kropff']['bragg_peak']['ldahkl_error']\ - = columns_roi[str_col]['kropff']['ldahkl_error'] - self.parent.fitting_input_dictionary['rois'][col_index]['fitting']['kropff']['bragg_peak']['tau_error'] = \ - columns_roi[str_col]['kropff']['tau_error'] - self.parent.fitting_input_dictionary['rois'][col_index]['fitting']['kropff']['bragg_peak']['sigma_error']\ - = \ - columns_roi[str_col]['kropff']['sigma_error'] - - xaxis_to_fit = lda_array_of_peak_selected[self.parent.kropff_fitting_range['bragg_peak'][0]: - self.parent.kropff_fitting_range['bragg_peak'][1]] - self.parent.fitting_input_dictionary['rois'][col_index]['fitting']['kropff']['bragg_peak']['xaxis_to_fit']\ - = \ - xaxis_to_fit - - kropff_tau = np.NaN if columns_roi[str_col]['kropff']['tau'] == 'None' else float(columns_roi[ - str_col][ - 'kropff']['tau']) - kropff_ldahkl = np.NaN if columns_roi[str_col]['kropff']['ldahkl'] == 'None' else float(columns_roi[ - str_col][ - 'kropff'][ - 'ldahkl']) - kropff_sigma = np.NaN if columns_roi[str_col]['kropff']['sigma'] == 'None' else float(columns_roi[ - str_col][ - 'kropff'][ - 'sigma']) - - yaxis_fitted = kropff_bragg_peak_tof(xaxis_to_fit, - kropff_a0, - kropff_b0, - kropff_ahkl, - kropff_bhkl, - kropff_ldahkl, - kropff_sigma, - kropff_tau) - self.parent.fitting_input_dictionary['rois'][col_index]['fitting']['kropff']['bragg_peak']['yaxis_fitted']\ - = \ - yaxis_fitted + self.parent.fitting_input_dictionary["rois"][col_index]["fitting"]["kropff"]["bragg_peak"]["ldahkl"] = ( + columns_roi[str_col]["kropff"]["ldahkl"] + ) + self.parent.fitting_input_dictionary["rois"][col_index]["fitting"]["kropff"]["bragg_peak"]["tau"] = ( + columns_roi[str_col]["kropff"]["tau"] + ) + self.parent.fitting_input_dictionary["rois"][col_index]["fitting"]["kropff"]["bragg_peak"]["sigma"] = ( + columns_roi[str_col]["kropff"]["sigma"] + ) + self.parent.fitting_input_dictionary["rois"][col_index]["fitting"]["kropff"]["bragg_peak"][ + "ldahkl_error" + ] = columns_roi[str_col]["kropff"]["ldahkl_error"] + self.parent.fitting_input_dictionary["rois"][col_index]["fitting"]["kropff"]["bragg_peak"]["tau_error"] = ( + columns_roi[str_col]["kropff"]["tau_error"] + ) + self.parent.fitting_input_dictionary["rois"][col_index]["fitting"]["kropff"]["bragg_peak"][ + "sigma_error" + ] = columns_roi[str_col]["kropff"]["sigma_error"] + + xaxis_to_fit = lda_array_of_peak_selected[ + self.parent.kropff_fitting_range["bragg_peak"][0] : self.parent.kropff_fitting_range["bragg_peak"][1] + ] + self.parent.fitting_input_dictionary["rois"][col_index]["fitting"]["kropff"]["bragg_peak"][ + "xaxis_to_fit" + ] = xaxis_to_fit + + kropff_tau = ( + np.nan + if columns_roi[str_col]["kropff"]["tau"] == "None" + else float(columns_roi[str_col]["kropff"]["tau"]) + ) + kropff_ldahkl = ( + np.nan + if columns_roi[str_col]["kropff"]["ldahkl"] == "None" + else float(columns_roi[str_col]["kropff"]["ldahkl"]) + ) + kropff_sigma = ( + np.nan + if columns_roi[str_col]["kropff"]["sigma"] == "None" + else float(columns_roi[str_col]["kropff"]["sigma"]) + ) + + yaxis_fitted = kropff_bragg_peak_tof( + xaxis_to_fit, kropff_a0, kropff_b0, kropff_ahkl, kropff_bhkl, kropff_ldahkl, kropff_sigma, kropff_tau + ) + self.parent.fitting_input_dictionary["rois"][col_index]["fitting"]["kropff"]["bragg_peak"][ + "yaxis_fitted" + ] = yaxis_fitted # March_dollase - self.parent.fitting_input_dictionary['rois'][col_index]['fitting']['march_dollase']['d_spacing'] = \ - columns_roi[str_col]['march_dollase']['d_spacing'] - self.parent.fitting_input_dictionary['rois'][col_index]['fitting']['march_dollase']['sigma'] = \ - columns_roi[str_col]['march_dollase']['sigma'] - self.parent.fitting_input_dictionary['rois'][col_index]['fitting']['march_dollase']['alpha'] = \ - columns_roi[str_col]['march_dollase']['alpha'] - self.parent.fitting_input_dictionary['rois'][col_index]['fitting']['march_dollase']['a1'] = \ - columns_roi[str_col]['march_dollase']['a1'] - self.parent.fitting_input_dictionary['rois'][col_index]['fitting']['march_dollase']['a2'] = \ - columns_roi[str_col]['march_dollase']['a2'] - self.parent.fitting_input_dictionary['rois'][col_index]['fitting']['march_dollase']['a5'] = \ - columns_roi[str_col]['march_dollase']['a5'] - self.parent.fitting_input_dictionary['rois'][col_index]['fitting']['march_dollase']['a6'] = \ - columns_roi[str_col]['march_dollase']['a6'] - self.parent.fitting_input_dictionary['rois'][col_index]['fitting']['march_dollase']['d_spacing_error'] = \ - columns_roi[str_col]['march_dollase']['d_spacing_error'] - self.parent.fitting_input_dictionary['rois'][col_index]['fitting']['march_dollase']['sigma_error'] = \ - columns_roi[str_col]['march_dollase']['sigma_error'] - self.parent.fitting_input_dictionary['rois'][col_index]['fitting']['march_dollase']['alpha_error'] = \ - columns_roi[str_col]['march_dollase']['alpha_error'] - self.parent.fitting_input_dictionary['rois'][col_index]['fitting']['march_dollase']['a1_error'] = \ - columns_roi[str_col]['march_dollase']['a1_error'] - self.parent.fitting_input_dictionary['rois'][col_index]['fitting']['march_dollase']['a2_error'] = \ - columns_roi[str_col]['march_dollase']['a2_error'] - self.parent.fitting_input_dictionary['rois'][col_index]['fitting']['march_dollase']['a5_error'] = \ - columns_roi[str_col]['march_dollase']['a5_error'] - self.parent.fitting_input_dictionary['rois'][col_index]['fitting']['march_dollase']['a6_error'] = \ - columns_roi[str_col]['march_dollase']['a6_error'] - - xaxis_dictionary = {'index': (index_array, self.parent.xaxis_label['index']), - 'lambda': (lambda_array, self.parent.xaxis_label['lambda']), - 'tof': (tof_array, self.parent.xaxis_label['tof'])} - self.parent.fitting_input_dictionary['xaxis'] = xaxis_dictionary - self.parent.fitting_input_dictionary['bragg_edge_range_selected'] = result_of_import['metadata']['bragg_edge_range'] + self.parent.fitting_input_dictionary["rois"][col_index]["fitting"]["march_dollase"]["d_spacing"] = ( + columns_roi[str_col]["march_dollase"]["d_spacing"] + ) + self.parent.fitting_input_dictionary["rois"][col_index]["fitting"]["march_dollase"]["sigma"] = columns_roi[ + str_col + ]["march_dollase"]["sigma"] + self.parent.fitting_input_dictionary["rois"][col_index]["fitting"]["march_dollase"]["alpha"] = columns_roi[ + str_col + ]["march_dollase"]["alpha"] + self.parent.fitting_input_dictionary["rois"][col_index]["fitting"]["march_dollase"]["a1"] = columns_roi[ + str_col + ]["march_dollase"]["a1"] + self.parent.fitting_input_dictionary["rois"][col_index]["fitting"]["march_dollase"]["a2"] = columns_roi[ + str_col + ]["march_dollase"]["a2"] + self.parent.fitting_input_dictionary["rois"][col_index]["fitting"]["march_dollase"]["a5"] = columns_roi[ + str_col + ]["march_dollase"]["a5"] + self.parent.fitting_input_dictionary["rois"][col_index]["fitting"]["march_dollase"]["a6"] = columns_roi[ + str_col + ]["march_dollase"]["a6"] + self.parent.fitting_input_dictionary["rois"][col_index]["fitting"]["march_dollase"]["d_spacing_error"] = ( + columns_roi[str_col]["march_dollase"]["d_spacing_error"] + ) + self.parent.fitting_input_dictionary["rois"][col_index]["fitting"]["march_dollase"]["sigma_error"] = ( + columns_roi[str_col]["march_dollase"]["sigma_error"] + ) + self.parent.fitting_input_dictionary["rois"][col_index]["fitting"]["march_dollase"]["alpha_error"] = ( + columns_roi[str_col]["march_dollase"]["alpha_error"] + ) + self.parent.fitting_input_dictionary["rois"][col_index]["fitting"]["march_dollase"]["a1_error"] = ( + columns_roi[str_col]["march_dollase"]["a1_error"] + ) + self.parent.fitting_input_dictionary["rois"][col_index]["fitting"]["march_dollase"]["a2_error"] = ( + columns_roi[str_col]["march_dollase"]["a2_error"] + ) + self.parent.fitting_input_dictionary["rois"][col_index]["fitting"]["march_dollase"]["a5_error"] = ( + columns_roi[str_col]["march_dollase"]["a5_error"] + ) + self.parent.fitting_input_dictionary["rois"][col_index]["fitting"]["march_dollase"]["a6_error"] = ( + columns_roi[str_col]["march_dollase"]["a6_error"] + ) + + xaxis_dictionary = { + "index": (index_array, self.parent.xaxis_label["index"]), + "lambda": (lambda_array, self.parent.xaxis_label["lambda"]), + "tof": (tof_array, self.parent.xaxis_label["tof"]), + } + self.parent.fitting_input_dictionary["xaxis"] = xaxis_dictionary + self.parent.fitting_input_dictionary["bragg_edge_range_selected"] = result_of_import["metadata"][ + "bragg_edge_range" + ] diff --git a/notebooks/__code/bragg_edge/kropff.py b/notebooks/__code/bragg_edge/kropff.py index b0b61dea..af7e6ad3 100755 --- a/notebooks/__code/bragg_edge/kropff.py +++ b/notebooks/__code/bragg_edge/kropff.py @@ -1,28 +1,29 @@ +from pathlib import Path + import numpy as np +import pyqtgraph as pg from qtpy import QtGui -from qtpy.QtWidgets import QMenu -from qtpy.QtWidgets import QFileDialog from qtpy.QtGui import QGuiApplication -from pathlib import Path -import pyqtgraph as pg +from qtpy.QtWidgets import QFileDialog, QMenu -from __code.table_handler import TableHandler +from __code._utilities.dictionary import key_path_exists_in_dictionary from __code.bragg_edge.bragg_edge_peak_fitting_gui_utility import GuiUtility +from __code.bragg_edge.get import Get from __code.bragg_edge.kropff_fitting_job_handler import KropffFittingJobHandler from __code.file_handler import make_ascii_file_from_2dim_array -from __code.bragg_edge.get import Get -from __code._utilities.dictionary import key_path_exists_in_dictionary +from __code.table_handler import TableHandler from __code.utilities import find_nearest_index class Kropff: - def __init__(self, parent=None): self.parent = parent - self.table_ui = {'high_lda' : self.parent.ui.high_lda_tableWidget, - 'low_lda' : self.parent.ui.low_lda_tableWidget, - 'bragg_peak': self.parent.ui.bragg_edge_tableWidget} + self.table_ui = { + "high_lda": self.parent.ui.high_lda_tableWidget, + "low_lda": self.parent.ui.low_lda_tableWidget, + "bragg_peak": self.parent.ui.bragg_edge_tableWidget, + } def reset_all_table(self): self.reset_high_lambda_table() @@ -30,18 +31,18 @@ def reset_all_table(self): self.reset_bragg_peak_table() def reset_high_lambda_table(self): - self.clear_table(table_name='high_lda') - self.fill_table_with_minimum_contain(table_ui=self.table_ui['high_lda']) + self.clear_table(table_name="high_lda") + self.fill_table_with_minimum_contain(table_ui=self.table_ui["high_lda"]) def reset_low_lambda_table(self): - self.clear_table(table_name='low_lda') - self.fill_table_with_minimum_contain(table_ui=self.table_ui['low_lda']) + self.clear_table(table_name="low_lda") + self.fill_table_with_minimum_contain(table_ui=self.table_ui["low_lda"]) def reset_bragg_peak_table(self): - self.clear_table(table_name='bragg_peak') + self.clear_table(table_name="bragg_peak") self.fill_table_with_minimum_contain(table_ui=self.parent.ui.bragg_edge_tableWidget) - def clear_table(self, table_name='high_lambda', is_all=False): + def clear_table(self, table_name="high_lambda", is_all=False): """remove all the rows of the table name specified, or all if is_all is True""" if is_all: for _key in self.table_ui.keys(): @@ -52,51 +53,50 @@ def clear_table(self, table_name='high_lambda', is_all=False): def fill_table_with_minimum_contain(self, table_ui=None): fitting_input_dictionary = self.parent.fitting_input_dictionary - rois = fitting_input_dictionary['rois'] + rois = fitting_input_dictionary["rois"] o_table = TableHandler(table_ui=table_ui) nbr_column = o_table.table_ui.columnCount() other_column_name = ["N/A" for _ in np.arange(nbr_column)] for _row, _roi in enumerate(rois.keys()): _roi_key = rois[_roi] - list_col_name = "{}; {}; {}; {}".format(_roi_key['x0'], - _roi_key['y0'], - _roi_key['width'], - _roi_key['height']) + list_col_name = "{}; {}; {}; {}".format( + _roi_key["x0"], _roi_key["y0"], _roi_key["width"], _roi_key["height"] + ) col_name = [list_col_name] + other_column_name o_table.insert_row(_row, col_name) def fill_table_with_fitting_information(self): fitting_input_dictionary = self.parent.fitting_input_dictionary - o_table = TableHandler(table_ui=self.table_ui['high_lda']) + o_table = TableHandler(table_ui=self.table_ui["high_lda"]) _col = 1 - for _row in fitting_input_dictionary['rois'].keys(): - _entry = fitting_input_dictionary['rois'][_row]['fitting']['kropff']['high'] - o_table.set_item_with_float(_row, _col, _entry['a0']) - o_table.set_item_with_float(_row, _col + 1, _entry['b0']) - o_table.set_item_with_float(_row, _col + 2, _entry['a0_error']) - o_table.set_item_with_float(_row, _col + 3, _entry['b0_error']) - - o_table = TableHandler(table_ui=self.table_ui['low_lda']) + for _row in fitting_input_dictionary["rois"].keys(): + _entry = fitting_input_dictionary["rois"][_row]["fitting"]["kropff"]["high"] + o_table.set_item_with_float(_row, _col, _entry["a0"]) + o_table.set_item_with_float(_row, _col + 1, _entry["b0"]) + o_table.set_item_with_float(_row, _col + 2, _entry["a0_error"]) + o_table.set_item_with_float(_row, _col + 3, _entry["b0_error"]) + + o_table = TableHandler(table_ui=self.table_ui["low_lda"]) _col = 1 - for _row in fitting_input_dictionary['rois'].keys(): - _entry = fitting_input_dictionary['rois'][_row]['fitting']['kropff']['low'] - o_table.set_item_with_float(_row, _col, _entry['ahkl']) - o_table.set_item_with_float(_row, _col + 1, _entry['bhkl']) - o_table.set_item_with_float(_row, _col + 2, _entry['ahkl_error']) - o_table.set_item_with_float(_row, _col + 3, _entry['bhkl_error']) - - o_table = TableHandler(table_ui=self.table_ui['bragg_peak']) + for _row in fitting_input_dictionary["rois"].keys(): + _entry = fitting_input_dictionary["rois"][_row]["fitting"]["kropff"]["low"] + o_table.set_item_with_float(_row, _col, _entry["ahkl"]) + o_table.set_item_with_float(_row, _col + 1, _entry["bhkl"]) + o_table.set_item_with_float(_row, _col + 2, _entry["ahkl_error"]) + o_table.set_item_with_float(_row, _col + 3, _entry["bhkl_error"]) + + o_table = TableHandler(table_ui=self.table_ui["bragg_peak"]) _col = 1 - for _row in fitting_input_dictionary['rois'].keys(): - _entry = fitting_input_dictionary['rois'][_row]['fitting']['kropff']['bragg_peak'] - o_table.set_item_with_float(_row, _col, _entry['ldahkl']) - o_table.set_item_with_float(_row, _col + 1, _entry['tau']) - o_table.set_item_with_float(_row, _col + 2, _entry['sigma']) - o_table.set_item_with_float(_row, _col + 3, _entry['ldahkl_error']) - o_table.set_item_with_float(_row, _col + 4, _entry['tau_error']) - o_table.set_item_with_float(_row, _col + 5, _entry['sigma_error']) + for _row in fitting_input_dictionary["rois"].keys(): + _entry = fitting_input_dictionary["rois"][_row]["fitting"]["kropff"]["bragg_peak"] + o_table.set_item_with_float(_row, _col, _entry["ldahkl"]) + o_table.set_item_with_float(_row, _col + 1, _entry["tau"]) + o_table.set_item_with_float(_row, _col + 2, _entry["sigma"]) + o_table.set_item_with_float(_row, _col + 3, _entry["ldahkl_error"]) + o_table.set_item_with_float(_row, _col + 4, _entry["tau_error"]) + o_table.set_item_with_float(_row, _col + 5, _entry["sigma_error"]) def bragg_peak_right_click(self, position=None): menu = QMenu(self.parent) @@ -128,56 +128,54 @@ def fit_bragg_peak_selected_rows(self): def export_bragg_peak_profile(self): working_dir = str(Path(self.parent.working_dir).parent) - _export_folder = QFileDialog.getExistingDirectory(self.parent, - directory=working_dir, - caption="Select Output Folder") + _export_folder = QFileDialog.getExistingDirectory( + self.parent, directory=working_dir, caption="Select Output Folder" + ) QGuiApplication.processEvents() # to close QFileDialog if _export_folder: - o_gui = GuiUtility(parent=self.parent) list_row_selected = o_gui.get_rows_of_table_selected(table_ui=self.parent.ui.bragg_edge_tableWidget) for row_selected in list_row_selected: # make up output file name - name_of_row = o_gui.get_table_str_item(table_ui=self.parent.ui.bragg_edge_tableWidget, - row=row_selected, - column=0) + name_of_row = o_gui.get_table_str_item( + table_ui=self.parent.ui.bragg_edge_tableWidget, row=row_selected, column=0 + ) [x0, y0, width, height] = name_of_row.split("; ") - name_of_row_formatted = "x0{}_y0{}_width{}_height{}".format(x0, y0, width, height) - file_name = "kropff_bragg_peak_profile_{}.txt".format(name_of_row_formatted) + name_of_row_formatted = f"x0{x0}_y0{y0}_width{width}_height{height}" + file_name = f"kropff_bragg_peak_profile_{name_of_row_formatted}.txt" full_file_name = str(Path(_export_folder) / Path(file_name)) o_fit = KropffFittingJobHandler(parent=self.parent) - o_fit.prepare(kropff_tooldbox='bragg_peak') + o_fit.prepare(kropff_tooldbox="bragg_peak") x_axis = o_fit.xaxis_to_fit y_axis = o_fit.list_yaxis_to_fit[row_selected] - a0 = self.parent.fitting_input_dictionary['rois'][row_selected]['fitting']['kropff']['high']['a0'] - b0 = self.parent.fitting_input_dictionary['rois'][row_selected]['fitting']['kropff']['high']['b0'] - ahkl = self.parent.fitting_input_dictionary['rois'][row_selected]['fitting']['kropff']['low']['ahkl'] - bhkl = self.parent.fitting_input_dictionary['rois'][row_selected]['fitting']['kropff']['low']['bhkl'] - - metadata = ["# Bragg peak fitting of row {}".format(row_selected + 1)] - metadata.append("# x0: {}".format(x0)) - metadata.append("# y0: {}".format(y0)) - metadata.append("# width: {}".format(width)) - metadata.append("# height: {}".format(height)) - metadata.append("# a0: {}".format(a0)) - metadata.append("# b0: {}".format(b0)) - metadata.append("# ahkl: {}".format(ahkl)) - metadata.append("# bhkl: {}".format(bhkl)) + a0 = self.parent.fitting_input_dictionary["rois"][row_selected]["fitting"]["kropff"]["high"]["a0"] + b0 = self.parent.fitting_input_dictionary["rois"][row_selected]["fitting"]["kropff"]["high"]["b0"] + ahkl = self.parent.fitting_input_dictionary["rois"][row_selected]["fitting"]["kropff"]["low"]["ahkl"] + bhkl = self.parent.fitting_input_dictionary["rois"][row_selected]["fitting"]["kropff"]["low"]["bhkl"] + + metadata = [f"# Bragg peak fitting of row {row_selected + 1}"] + metadata.append(f"# x0: {x0}") + metadata.append(f"# y0: {y0}") + metadata.append(f"# width: {width}") + metadata.append(f"# height: {height}") + metadata.append(f"# a0: {a0}") + metadata.append(f"# b0: {b0}") + metadata.append(f"# ahkl: {ahkl}") + metadata.append(f"# bhkl: {bhkl}") metadata.append("#") metadata.append("# lambda (Angstroms), average transmission") - make_ascii_file_from_2dim_array(metadata=metadata, - col1=x_axis, - col2=y_axis, - output_file_name=full_file_name) + make_ascii_file_from_2dim_array( + metadata=metadata, col1=x_axis, col2=y_axis, output_file_name=full_file_name + ) - message = "Exported {} file(s) in {}".format(len(list_row_selected), _export_folder) + message = f"Exported {len(list_row_selected)} file(s) in {_export_folder}" self.parent.ui.statusbar.showMessage(message, 15000) # 15s self.parent.ui.statusbar.setStyleSheet("color: green") @@ -190,22 +188,21 @@ def select_all_rows_with_negative_thkl(self): self.parent.ui.bragg_edge_tableWidget.setSelectionMode(2) list_of_rows_to_select = [] - fitting_input_dictionary_rois = self.parent.fitting_input_dictionary['rois'] + fitting_input_dictionary_rois = self.parent.fitting_input_dictionary["rois"] for _row in fitting_input_dictionary_rois.keys(): - _thkl = float(fitting_input_dictionary_rois[_row]['fitting']['kropff']['bragg_peak']['ldahkl']) + _thkl = float(fitting_input_dictionary_rois[_row]["fitting"]["kropff"]["bragg_peak"]["ldahkl"]) if _thkl < 0: list_of_rows_to_select.append(_row) o_gui = GuiUtility(parent=self.parent) - o_gui.select_rows_of_table(table_ui=self.parent.ui.bragg_edge_tableWidget, - list_of_rows=list_of_rows_to_select) + o_gui.select_rows_of_table(table_ui=self.parent.ui.bragg_edge_tableWidget, list_of_rows=list_of_rows_to_select) def update_fitting_plot(self): self.parent.ui.fitting.clear() o_get = Get(parent=self.parent) part_of_fitting_dict = o_get.part_of_fitting_selected() - name_of_page = part_of_fitting_dict['name_of_page'] - table_ui = part_of_fitting_dict['table_ui'] + name_of_page = part_of_fitting_dict["name_of_page"] + table_ui = part_of_fitting_dict["table_ui"] o_table = TableHandler(table_ui=table_ui) list_row_selected = o_table.get_rows_of_table_selected() @@ -215,21 +212,26 @@ def update_fitting_plot(self): # first fitting tab where we only display the full data with bragg peak selection if self.parent.fitting_peak_ui: self.parent.ui.fitting.removeItem(self.parent.fitting_peak_ui) - xaxis_dict = self.parent.fitting_input_dictionary['xaxis'] + xaxis_dict = self.parent.fitting_input_dictionary["xaxis"] xaxis_index, xaxis_label = xaxis_dict[x_axis_selected] [left_xaxis_index, right_xaxis_index] = self.parent.bragg_edge_range - xaxis = xaxis_index[left_xaxis_index: right_xaxis_index] - selected_roi = self.parent.fitting_input_dictionary['rois'][0] - yaxis = selected_roi['profile'] - yaxis = yaxis[left_xaxis_index: right_xaxis_index] + xaxis = xaxis_index[left_xaxis_index:right_xaxis_index] + selected_roi = self.parent.fitting_input_dictionary["rois"][0] + yaxis = selected_roi["profile"] + yaxis = yaxis[left_xaxis_index:right_xaxis_index] yaxis = -np.log(yaxis) - self.parent.ui.fitting.plot(xaxis, yaxis, - pen=(self.parent.selection_roi_rgb[0], - self.parent.selection_roi_rgb[1], - self.parent.selection_roi_rgb[2]), - symbol='o') + self.parent.ui.fitting.plot( + xaxis, + yaxis, + pen=( + self.parent.selection_roi_rgb[0], + self.parent.selection_roi_rgb[1], + self.parent.selection_roi_rgb[2], + ), + symbol="o", + ) self.parent.ui.fitting.setLabel("bottom", xaxis_label) - peak_range_index = self.parent.kropff_fitting_range['bragg_peak'] + peak_range_index = self.parent.kropff_fitting_range["bragg_peak"] if peak_range_index[0] is None: peak_range = self.parent.bragg_edge_range else: @@ -237,38 +239,39 @@ def update_fitting_plot(self): if self.parent.fitting_peak_ui: self.parent.ui.fitting.removeItem(self.parent.fitting_peak_ui) - self.parent.fitting_peak_ui = pg.LinearRegionItem(values=peak_range, - orientation=None, - brush=None, - movable=True, - bounds=None) + self.parent.fitting_peak_ui = pg.LinearRegionItem( + values=peak_range, orientation=None, brush=None, movable=True, bounds=None + ) self.parent.fitting_peak_ui.sigRegionChanged.connect(self.parent.fitting_range_changed) self.parent.fitting_peak_ui.setZValue(-10) self.parent.ui.fitting.addItem(self.parent.fitting_peak_ui) else: - for row_selected in list_row_selected: + selected_roi = self.parent.fitting_input_dictionary["rois"][row_selected] - selected_roi = self.parent.fitting_input_dictionary['rois'][row_selected] - - xaxis_dict = self.parent.fitting_input_dictionary['xaxis'] + xaxis_dict = self.parent.fitting_input_dictionary["xaxis"] [left_xaxis_index, right_xaxis_index] = self.parent.bragg_edge_range - yaxis = selected_roi['profile'] + yaxis = selected_roi["profile"] xaxis_index, xaxis_label = xaxis_dict[x_axis_selected] - xaxis = xaxis_index[left_xaxis_index: right_xaxis_index] - yaxis = yaxis[left_xaxis_index: right_xaxis_index] + xaxis = xaxis_index[left_xaxis_index:right_xaxis_index] + yaxis = yaxis[left_xaxis_index:right_xaxis_index] self.parent.ui.fitting.setLabel("bottom", xaxis_label) - self.parent.ui.fitting.setLabel("left", 'Cross Section (arbitrary units)') + self.parent.ui.fitting.setLabel("left", "Cross Section (arbitrary units)") yaxis = -np.log(yaxis) - self.parent.ui.fitting.plot(xaxis, yaxis, - pen=(self.parent.selection_roi_rgb[0], - self.parent.selection_roi_rgb[1], - self.parent.selection_roi_rgb[2]), - symbol='o') + self.parent.ui.fitting.plot( + xaxis, + yaxis, + pen=( + self.parent.selection_roi_rgb[0], + self.parent.selection_roi_rgb[1], + self.parent.selection_roi_rgb[2], + ), + symbol="o", + ) peak_range_index = self.parent.kropff_fitting_range[name_of_page] if peak_range_index[0] is None: @@ -279,11 +282,9 @@ def update_fitting_plot(self): if self.parent.fitting_peak_ui: self.parent.ui.fitting.removeItem(self.parent.fitting_peak_ui) - self.parent.fitting_peak_ui = pg.LinearRegionItem(values=peak_range, - orientation=None, - brush=None, - movable=False, - bounds=None) + self.parent.fitting_peak_ui = pg.LinearRegionItem( + values=peak_range, orientation=None, brush=None, movable=False, bounds=None + ) self.parent.fitting_peak_ui.sigRegionChanged.connect(self.parent.fitting_range_changed) self.parent.fitting_peak_ui.setZValue(-10) self.parent.ui.fitting.addItem(self.parent.fitting_peak_ui) @@ -291,21 +292,21 @@ def update_fitting_plot(self): o_gui = GuiUtility(parent=self.parent) algo_name = o_gui.get_tab_selected(self.parent.ui.tab_algorithm).lower() - if key_path_exists_in_dictionary(dictionary=self.parent.fitting_input_dictionary, - tree_key=['rois', row_selected, 'fitting', algo_name, - name_of_page, 'xaxis_to_fit']): - + if key_path_exists_in_dictionary( + dictionary=self.parent.fitting_input_dictionary, + tree_key=["rois", row_selected, "fitting", algo_name, name_of_page, "xaxis_to_fit"], + ): # show fit only if tof scale selected - if x_axis_selected == 'lambda': - _entry = self.parent.fitting_input_dictionary['rois'][row_selected]['fitting'][algo_name][ - name_of_page] - xaxis = _entry['xaxis_to_fit'] - yaxis = _entry['yaxis_fitted'] + if x_axis_selected == "lambda": + _entry = self.parent.fitting_input_dictionary["rois"][row_selected]["fitting"][algo_name][ + name_of_page + ] + xaxis = _entry["xaxis_to_fit"] + yaxis = _entry["yaxis_fitted"] # yaxis = -np.log(yaxis) - self.parent.ui.fitting.plot(xaxis, yaxis, - pen=(self.parent.fit_rgb[0], - self.parent.fit_rgb[1], - self.parent.fit_rgb[2])) + self.parent.ui.fitting.plot( + xaxis, yaxis, pen=(self.parent.fit_rgb[0], self.parent.fit_rgb[1], self.parent.fit_rgb[2]) + ) if peak_range_index[0] is None: self.parent.fitting_range_changed() @@ -318,22 +319,23 @@ def update_roi_labels(self): o_get = Get(parent=self.parent) x_axis_selected = o_get.x_axis_checked() - xaxis_dict = self.parent.fitting_input_dictionary['xaxis'] + xaxis_dict = self.parent.fitting_input_dictionary["xaxis"] xaxis_index, _ = xaxis_dict[x_axis_selected] [left_xaxis_index, right_xaxis_index] = [global_left_range, global_right_range] - xaxis = xaxis_index[left_xaxis_index: right_xaxis_index] + xaxis = xaxis_index[left_xaxis_index:right_xaxis_index] left_index = find_nearest_index(array=xaxis, value=left_range) right_index = find_nearest_index(array=xaxis, value=right_range) - xaxis_in_selected_axis = self.parent.fitting_input_dictionary['xaxis'][x_axis_selected][0][ - global_left_range: global_right_range] + xaxis_in_selected_axis = self.parent.fitting_input_dictionary["xaxis"][x_axis_selected][0][ + global_left_range:global_right_range + ] real_left_value = xaxis_in_selected_axis[left_index] real_right_value = xaxis_in_selected_axis[right_index] - if x_axis_selected == 'lambda': + if x_axis_selected == "lambda": str_format = "{:02f}" - elif x_axis_selected == 'tof': + elif x_axis_selected == "tof": str_format = "{:04.2f}" else: str_format = "{}" diff --git a/notebooks/__code/bragg_edge/kropff_fitting_job_handler.py b/notebooks/__code/bragg_edge/kropff_fitting_job_handler.py index 21777b16..1830ab89 100755 --- a/notebooks/__code/bragg_edge/kropff_fitting_job_handler.py +++ b/notebooks/__code/bragg_edge/kropff_fitting_job_handler.py @@ -1,9 +1,10 @@ -from lmfit import Model, Parameter from copy import deepcopy + import numpy as np +from lmfit import Model, Parameter -from __code.bragg_edge.fitting_functions import kropff_high_lambda, kropff_low_lambda, kropff_bragg_peak_tof from __code.bragg_edge.bragg_edge_peak_fitting_gui_utility import GuiUtility +from __code.bragg_edge.fitting_functions import kropff_bragg_peak_tof, kropff_high_lambda, kropff_low_lambda class KropffFittingJobHandler: @@ -15,32 +16,31 @@ def __init__(self, parent=None): self.xaxis_to_fit = None self.list_yaxis_to_fit = None - def prepare(self, kropff_tooldbox='high'): + def prepare(self, kropff_tooldbox="high"): """ :param kropff_tooldbox: 'high', 'low', 'bragg_peak' """ - if kropff_tooldbox == 'bragg_peak': - fitting_range = [self.parent.kropff_fitting_range['low'][0], - self.parent.kropff_fitting_range['high'][1]] + if kropff_tooldbox == "bragg_peak": + fitting_range = [self.parent.kropff_fitting_range["low"][0], self.parent.kropff_fitting_range["high"][1]] else: fitting_range = self.parent.kropff_fitting_range[kropff_tooldbox] # fitting_range = self.parent.kropff_fitting_range[kropff_tooldbox] - xaxis = self.parent.fitting_input_dictionary['xaxis']['lambda'][0] + xaxis = self.parent.fitting_input_dictionary["xaxis"]["lambda"][0] [left_xaxis_index, right_xaxis_index] = self.parent.bragg_edge_range - full_fitting_xaxis = xaxis[left_xaxis_index: right_xaxis_index] + full_fitting_xaxis = xaxis[left_xaxis_index:right_xaxis_index] # self.xaxis_to_fit = full_fitting_xaxis[fitting_range[0]: fitting_range[1] + 1] * 1e-6 # to convert in s - self.xaxis_to_fit = full_fitting_xaxis[fitting_range[0]: fitting_range[1] + 1] + self.xaxis_to_fit = full_fitting_xaxis[fitting_range[0] : fitting_range[1] + 1] list_yaxis_to_fit = [] - for _key in self.parent.fitting_input_dictionary['rois'].keys(): - _yaxis = self.parent.fitting_input_dictionary['rois'][_key]['profile'] - full_fitting_yaxis = _yaxis[left_xaxis_index: right_xaxis_index] - list_yaxis_to_fit.append(full_fitting_yaxis[fitting_range[0]: fitting_range[1] + 1]) + for _key in self.parent.fitting_input_dictionary["rois"].keys(): + _yaxis = self.parent.fitting_input_dictionary["rois"][_key]["profile"] + full_fitting_yaxis = _yaxis[left_xaxis_index:right_xaxis_index] + list_yaxis_to_fit.append(full_fitting_yaxis[fitting_range[0] : fitting_range[1] + 1]) self.list_yaxis_to_fit = list_yaxis_to_fit def run_kropff_high_lambda(self, update_table_ui=False): - gmodel = Model(kropff_high_lambda, missing='drop', independent_vars=['lda']) + gmodel = Model(kropff_high_lambda, missing="drop", independent_vars=["lda"]) lda = self.xaxis_to_fit o_gui = GuiUtility(parent=self.parent) @@ -50,31 +50,29 @@ def run_kropff_high_lambda(self, update_table_ui=False): for _index, yaxis in enumerate(self.list_yaxis_to_fit): yaxis = -np.log(yaxis) _result = gmodel.fit(yaxis, lda=lda, a0=a0_init, b0=b0_init) - a0 = _result.params['a0'].value - a0_error = _result.params['a0'].stderr - b0 = _result.params['b0'].value - b0_error = _result.params['b0'].stderr + a0 = _result.params["a0"].value + a0_error = _result.params["a0"].stderr + b0 = _result.params["b0"].value + b0_error = _result.params["b0"].stderr yaxis_fitted = kropff_high_lambda(self.xaxis_to_fit, a0, b0) - result_dict = {'a0' : a0, - 'b0' : b0, - 'a0_error' : a0_error, - 'b0_error' : b0_error, - 'xaxis_to_fit': lda, - 'yaxis_fitted': yaxis_fitted} + result_dict = { + "a0": a0, + "b0": b0, + "a0_error": a0_error, + "b0_error": b0_error, + "xaxis_to_fit": lda, + "yaxis_fitted": yaxis_fitted, + } - self.parent.fitting_input_dictionary['rois'][_index]['fitting']['kropff']['high'] = deepcopy(result_dict) + self.parent.fitting_input_dictionary["rois"][_index]["fitting"]["kropff"]["high"] = deepcopy(result_dict) if update_table_ui: - o_gui.update_kropff_high_lambda_table_ui(row=_index, - a0=a0, - b0=b0, - a0_error=a0_error, - b0_error=b0_error) + o_gui.update_kropff_high_lambda_table_ui(row=_index, a0=a0, b0=b0, a0_error=a0_error, b0_error=b0_error) def run_kropff_low_lambda(self, update_table_ui=False): - gmodel = Model(kropff_low_lambda, missing='drop', independent_vars=['lda']) + gmodel = Model(kropff_low_lambda, missing="drop", independent_vars=["lda"]) lda = self.xaxis_to_fit o_gui = GuiUtility(parent=self.parent) @@ -83,44 +81,45 @@ def run_kropff_low_lambda(self, update_table_ui=False): bhkl_init = float(str(self.parent.kropff_low_lda_bhkl_init.text())) for _row, yaxis in enumerate(self.list_yaxis_to_fit): - - _entry = self.parent.fitting_input_dictionary['rois'][_row]['fitting']['kropff']['high'] - a0 = float(_entry['a0']) - b0 = float(_entry['b0']) + _entry = self.parent.fitting_input_dictionary["rois"][_row]["fitting"]["kropff"]["high"] + a0 = float(_entry["a0"]) + b0 = float(_entry["b0"]) yaxis = -np.log(yaxis) - _result = gmodel.fit(yaxis, lda=lda, - a0=Parameter('a0', value=a0, vary=False), - b0=Parameter('b0', value=b0, vary=False), - ahkl=ahkl_init, - bhkl=bhkl_init) - - ahkl = _result.params['ahkl'].value - ahkl_error = _result.params['ahkl'].stderr - bhkl = _result.params['bhkl'].value - bhkl_error = _result.params['bhkl'].stderr - - yaxis_fitted = kropff_low_lambda(lda, - a0, b0, ahkl, bhkl) - - result_dict = {'ahkl' : ahkl, - 'bhkl' : bhkl, - 'ahkl_error' : ahkl_error, - 'bhkl_error' : bhkl_error, - 'xaxis_to_fit': lda, - 'yaxis_fitted': yaxis_fitted} - - self.parent.fitting_input_dictionary['rois'][_row]['fitting']['kropff']['low'] = deepcopy(result_dict) + _result = gmodel.fit( + yaxis, + lda=lda, + a0=Parameter("a0", value=a0, vary=False), + b0=Parameter("b0", value=b0, vary=False), + ahkl=ahkl_init, + bhkl=bhkl_init, + ) + + ahkl = _result.params["ahkl"].value + ahkl_error = _result.params["ahkl"].stderr + bhkl = _result.params["bhkl"].value + bhkl_error = _result.params["bhkl"].stderr + + yaxis_fitted = kropff_low_lambda(lda, a0, b0, ahkl, bhkl) + + result_dict = { + "ahkl": ahkl, + "bhkl": bhkl, + "ahkl_error": ahkl_error, + "bhkl_error": bhkl_error, + "xaxis_to_fit": lda, + "yaxis_fitted": yaxis_fitted, + } + + self.parent.fitting_input_dictionary["rois"][_row]["fitting"]["kropff"]["low"] = deepcopy(result_dict) if update_table_ui: - o_gui.update_kropff_low_lambda_table_ui(row=_row, - ahkl=ahkl, - bhkl=bhkl, - ahkl_error=ahkl_error, - bhkl_error=bhkl_error) + o_gui.update_kropff_low_lambda_table_ui( + row=_row, ahkl=ahkl, bhkl=bhkl, ahkl_error=ahkl_error, bhkl_error=bhkl_error + ) def run_bragg_peak(self, update_table_ui=False, list_row_to_fit=None): - gmodel = Model(kropff_bragg_peak_tof, nan_policy='propagate', independent_vars=['lda']) + gmodel = Model(kropff_bragg_peak_tof, nan_policy="propagate", independent_vars=["lda"]) lda = self.xaxis_to_fit o_gui = GuiUtility(parent=self.parent) @@ -130,59 +129,63 @@ def run_bragg_peak(self, update_table_ui=False, list_row_to_fit=None): sigma_init = float(self.parent.kropff_bragg_peak_sigma_comboBox.currentText()) for _row, yaxis in enumerate(self.list_yaxis_to_fit): - - if not list_row_to_fit is None: + if list_row_to_fit is not None: if _row not in list_row_to_fit: continue - _entry_high = self.parent.fitting_input_dictionary['rois'][_row]['fitting']['kropff']['high'] - a0 = float(_entry_high['a0']) - b0 = float(_entry_high['b0']) + _entry_high = self.parent.fitting_input_dictionary["rois"][_row]["fitting"]["kropff"]["high"] + a0 = float(_entry_high["a0"]) + b0 = float(_entry_high["b0"]) - _entry_low = self.parent.fitting_input_dictionary['rois'][_row]['fitting']['kropff']['low'] - ahkl = float(_entry_low['ahkl']) - bhkl = float(_entry_low['bhkl']) + _entry_low = self.parent.fitting_input_dictionary["rois"][_row]["fitting"]["kropff"]["low"] + ahkl = float(_entry_low["ahkl"]) + bhkl = float(_entry_low["bhkl"]) yaxis = -np.log(yaxis) - _result = gmodel.fit(yaxis, - lda=lda, - a0=Parameter('a0', value=a0, vary=False), - b0=Parameter('b0', value=b0, vary=False), - ahkl=Parameter('ahkl', value=ahkl, vary=False), - bhkl=Parameter('bhkl', value=bhkl, vary=False), - ldahkl=ldahkl_init, - sigma=sigma_init, - tau=tau_init) - - ldahkl = _result.params['ldahkl'].value - ldahkl_error = _result.params['ldahkl'].stderr - sigma = _result.params['sigma'].value - sigma_error = _result.params['sigma'].stderr - tau = _result.params['tau'].value - tau_error = _result.params['tau'].stderr - - yaxis_fitted = kropff_bragg_peak_tof(self.xaxis_to_fit, - a0, b0, ahkl, bhkl, - ldahkl, sigma, tau) - - result_dict = {'ldahkl' : ldahkl, - 'ldahkl_error': ldahkl_error, - 'sigma' : sigma, - 'sigma_error' : sigma_error, - 'tau' : tau, - 'tau_error' : tau_error, - 'xaxis_to_fit': lda, - 'yaxis_fitted': yaxis_fitted} - - self.parent.fitting_input_dictionary['rois'][_row]['fitting']['kropff']['bragg_peak'] = deepcopy( - result_dict) + _result = gmodel.fit( + yaxis, + lda=lda, + a0=Parameter("a0", value=a0, vary=False), + b0=Parameter("b0", value=b0, vary=False), + ahkl=Parameter("ahkl", value=ahkl, vary=False), + bhkl=Parameter("bhkl", value=bhkl, vary=False), + ldahkl=ldahkl_init, + sigma=sigma_init, + tau=tau_init, + ) + + ldahkl = _result.params["ldahkl"].value + ldahkl_error = _result.params["ldahkl"].stderr + sigma = _result.params["sigma"].value + sigma_error = _result.params["sigma"].stderr + tau = _result.params["tau"].value + tau_error = _result.params["tau"].stderr + + yaxis_fitted = kropff_bragg_peak_tof(self.xaxis_to_fit, a0, b0, ahkl, bhkl, ldahkl, sigma, tau) + + result_dict = { + "ldahkl": ldahkl, + "ldahkl_error": ldahkl_error, + "sigma": sigma, + "sigma_error": sigma_error, + "tau": tau, + "tau_error": tau_error, + "xaxis_to_fit": lda, + "yaxis_fitted": yaxis_fitted, + } + + self.parent.fitting_input_dictionary["rois"][_row]["fitting"]["kropff"]["bragg_peak"] = deepcopy( + result_dict + ) if update_table_ui: - o_gui.update_kropff_bragg_edge_table_ui(row=_row, - ldahkl=ldahkl, - ldahkl_error=ldahkl_error, - tau=tau, - tau_error=tau_error, - sigma=sigma, - sigma_error=sigma_error) + o_gui.update_kropff_bragg_edge_table_ui( + row=_row, + ldahkl=ldahkl, + ldahkl_error=ldahkl_error, + tau=tau, + tau_error=tau_error, + sigma=sigma, + sigma_error=sigma_error, + ) diff --git a/notebooks/__code/bragg_edge/march_dollase.py b/notebooks/__code/bragg_edge/march_dollase.py index e59995ec..6103cb58 100755 --- a/notebooks/__code/bragg_edge/march_dollase.py +++ b/notebooks/__code/bragg_edge/march_dollase.py @@ -1,22 +1,35 @@ -from qtpy import QtGui -from qtpy.QtWidgets import QMenu +import os +from pathlib import Path + import numpy as np import pyqtgraph as pg -from qtpy.QtWidgets import QFileDialog -from pathlib import Path -import os +from qtpy import QtGui +from qtpy.QtWidgets import QFileDialog, QMenu -from __code.table_handler import TableHandler from __code.bragg_edge.bragg_edge_peak_fitting_gui_utility import GuiUtility from __code.bragg_edge.get import Get -from __code.utilities import find_nearest_index from __code.file_handler import make_ascii_file +from __code.table_handler import TableHandler +from __code.utilities import find_nearest_index class MarchDollase: - list_columns = ['d_spacing', 'sigma', 'alpha', 'a1', 'a2', 'a5', 'a6', - 'd_spacing_error', 'sigma_error', 'alpha_error', - 'a1_error', 'a2_error', 'a5_error', 'a6_error'] + list_columns = [ + "d_spacing", + "sigma", + "alpha", + "a1", + "a2", + "a5", + "a6", + "d_spacing_error", + "sigma_error", + "alpha_error", + "a1_error", + "a2_error", + "a5_error", + "a6_error", + ] def __init__(self, parent=None): self.parent = parent @@ -39,17 +52,16 @@ def reset_history_table(self): def fill_table_with_minimum_contain(self): fitting_input_dictionary = self.parent.fitting_input_dictionary - rois = fitting_input_dictionary['rois'] + rois = fitting_input_dictionary["rois"] o_table = TableHandler(table_ui=self.result_table_ui) nbr_column = o_table.table_ui.columnCount() other_column_name = ["N/A" for _ in np.arange(nbr_column)] for _row, _roi in enumerate(rois.keys()): _roi_key = rois[_roi] - list_col_name = "{}; {}; {}; {}".format(_roi_key['x0'], - _roi_key['y0'], - _roi_key['width'], - _roi_key['height']) + list_col_name = "{}; {}; {}; {}".format( + _roi_key["x0"], _roi_key["y0"], _roi_key["width"], _roi_key["height"] + ) col_name = [list_col_name] + other_column_name o_table.insert_row(_row, col_name) @@ -93,8 +105,10 @@ def move_table_row(self, to_row_offset=-1): self.parent.march_dollase_fitting_history_table = march_dollase_fitting_history_table o_gui = GuiUtility(parent=self.parent) - o_gui.fill_march_dollase_table(list_state=self.parent.march_dollase_fitting_history_table, - list_initial_parameters=self.parent.march_dollase_fitting_initial_parameters) + o_gui.fill_march_dollase_table( + list_state=self.parent.march_dollase_fitting_history_table, + list_initial_parameters=self.parent.march_dollase_fitting_initial_parameters, + ) # keep current selection on new row o_table = TableHandler(table_ui=self.parent.march_dollase_user_input_table) @@ -192,13 +206,17 @@ def delete_row(self): def full_reset(self): march_dollase_history_state = self.parent.march_dollase_history_state_full_reset o_gui = GuiUtility(parent=self.parent) - o_gui.fill_march_dollase_table(list_state=march_dollase_history_state, - initial_parameters=self.parent.march_dollase_fitting_initial_parameters) + o_gui.fill_march_dollase_table( + list_state=march_dollase_history_state, + initial_parameters=self.parent.march_dollase_fitting_initial_parameters, + ) def update_table_after_changing_row(self, changing_row=-1): o_gui = GuiUtility(parent=self.parent) - o_gui.fill_march_dollase_table(list_state=self.parent.march_dollase_fitting_history_table, - initial_parameters=self.parent.march_dollase_fitting_initial_parameters) + o_gui.fill_march_dollase_table( + list_state=self.parent.march_dollase_fitting_history_table, + initial_parameters=self.parent.march_dollase_fitting_initial_parameters, + ) # keep current selection on new row o_table = TableHandler(table_ui=self.parent.march_dollase_user_input_table) @@ -208,12 +226,12 @@ def update_table_after_changing_row(self, changing_row=-1): def advanced_mode_clicked(self): hide_advanced = not self.parent.ui.march_dollase_advanced_mode_checkBox.isChecked() o_gui = GuiUtility(parent=self.parent) - o_gui.set_columns_hidden(table_ui=self.parent.ui.march_dollase_user_input_table, - list_of_columns=[5, 6], - state=hide_advanced) - o_gui.set_columns_hidden(table_ui=self.parent.ui.march_dollase_result_table, - list_of_columns=[6, 7, 13, 14], - state=hide_advanced) + o_gui.set_columns_hidden( + table_ui=self.parent.ui.march_dollase_user_input_table, list_of_columns=[5, 6], state=hide_advanced + ) + o_gui.set_columns_hidden( + table_ui=self.parent.ui.march_dollase_result_table, list_of_columns=[6, 7, 13, 14], state=hide_advanced + ) def update_fitting_plot(self): self.parent.ui.fitting.clear() @@ -233,11 +251,16 @@ def update_fitting_plot(self): for row_selected in list_row_selected: yaxis = o_get.y_axis_data_of_selected_row(row_selected=row_selected) - self.parent.ui.fitting.plot(xaxis, yaxis, - pen=(self.parent.selection_roi_rgb[0], - self.parent.selection_roi_rgb[1], - self.parent.selection_roi_rgb[2]), - symbol='o') + self.parent.ui.fitting.plot( + xaxis, + yaxis, + pen=( + self.parent.selection_roi_rgb[0], + self.parent.selection_roi_rgb[1], + self.parent.selection_roi_rgb[2], + ), + symbol="o", + ) self.parent.ui.fitting.setLabel("bottom", xaxis_label) self.parent.ui.fitting.setLabel("left", "Average transmission") @@ -251,13 +274,12 @@ def update_fitting_plot(self): if self.parent.march_dollase_fitting_peak_ui: self.parent.ui.fitting.removeItem(self.parent.march_dollase_fitting_peak_ui) - self.parent.march_dollase_fitting_peak_ui = pg.LinearRegionItem(values=local_peak_range, - orientation=None, - brush=None, - movable=move_bragg_peak_range, - bounds=None) + self.parent.march_dollase_fitting_peak_ui = pg.LinearRegionItem( + values=local_peak_range, orientation=None, brush=None, movable=move_bragg_peak_range, bounds=None + ) self.parent.march_dollase_fitting_peak_ui.sigRegionChanged.connect( - self.parent.march_dollase_fitting_range_changed) + self.parent.march_dollase_fitting_range_changed + ) self.parent.march_dollase_fitting_peak_ui.setZValue(-10) self.parent.ui.fitting.addItem(self.parent.march_dollase_fitting_peak_ui) @@ -296,11 +318,11 @@ def fill_tables_with_fitting_information(self): def fill_result_table_with_fitting_information(self): fitting_input_dictionary = self.parent.fitting_input_dictionary - march_data = fitting_input_dictionary['rois'] + march_data = fitting_input_dictionary["rois"] list_columns = self.parent.march_dollase_list_columns for _row in march_data.keys(): - _march_entry = march_data[_row]['fitting']['march_dollase'] + _march_entry = march_data[_row]["fitting"]["march_dollase"] for _col, _col_name in enumerate(list_columns): _arg_value = _march_entry.get(_col_name) @@ -308,8 +330,10 @@ def fill_result_table_with_fitting_information(self): def fill_history_table_with_fitting_information(self): o_gui = GuiUtility(parent=self.parent) - o_gui.fill_march_dollase_table(list_state=self.parent.march_dollase_fitting_history_table, - initial_parameters=self.parent.march_dollase_fitting_initial_parameters) + o_gui.fill_march_dollase_table( + list_state=self.parent.march_dollase_fitting_history_table, + initial_parameters=self.parent.march_dollase_fitting_initial_parameters, + ) def get_initial_parameter_value(self, column=-1): name = self.parent.march_dollase_list_columns[column] @@ -321,24 +345,25 @@ def update_roi_labels(self): o_get = Get(parent=self.parent) x_axis_selected = o_get.x_axis_checked() - xaxis_dict = self.parent.fitting_input_dictionary['xaxis'] + xaxis_dict = self.parent.fitting_input_dictionary["xaxis"] xaxis_index, _ = xaxis_dict[x_axis_selected] [left_xaxis_index, right_xaxis_index] = [global_left_range, global_right_range] - xaxis = xaxis_index[left_xaxis_index: right_xaxis_index] + xaxis = xaxis_index[left_xaxis_index:right_xaxis_index] left_index = find_nearest_index(array=xaxis, value=left_range) right_index = find_nearest_index(array=xaxis, value=right_range) self.parent.march_dollase_fitting_range_selected = [left_index, right_index] - xaxis_in_selected_axis = self.parent.fitting_input_dictionary['xaxis'][x_axis_selected][0][ - global_left_range: global_right_range] + xaxis_in_selected_axis = self.parent.fitting_input_dictionary["xaxis"][x_axis_selected][0][ + global_left_range:global_right_range + ] real_left_value = xaxis_in_selected_axis[left_index] real_right_value = xaxis_in_selected_axis[right_index] - if x_axis_selected == 'lambda': + if x_axis_selected == "lambda": str_format = "{:02f}" - elif x_axis_selected == 'tof': + elif x_axis_selected == "tof": str_format = "{:04.2f}" else: str_format = "{}" @@ -360,12 +385,11 @@ def result_table_right_click(self): self.export_data_of_selected_rows() def export_data_of_selected_rows(self): - base_folder = Path(self.parent.working_dir) directory = str(base_folder.parent) - _export_folder = QFileDialog.getExistingDirectory(self.parent, - directory=directory, - caption="Select Output Folder") + _export_folder = QFileDialog.getExistingDirectory( + self.parent, directory=directory, caption="Select Output Folder" + ) if _export_folder: o_table = TableHandler(table_ui=self.parent.ui.march_dollase_result_table) @@ -373,42 +397,45 @@ def export_data_of_selected_rows(self): str_list_of_rows_selected = [str(_row) for _row in list_of_rows_selected] str_rows = "_".join(str_list_of_rows_selected) - output_file_name = os.path.join(str(_export_folder), "march_dollase_result_fitting_row{}.txt".format( - str_rows)) + output_file_name = os.path.join(str(_export_folder), f"march_dollase_result_fitting_row{str_rows}.txt") fitting_input_dictionary = self.parent.fitting_input_dictionary o_get = Get(parent=self.parent) - xaxis_index = o_get.x_axis_data(x_axis_selected='index') - xaxis_tof = o_get.x_axis_data(x_axis_selected='tof') - xaxis_lambda = o_get.x_axis_data(x_axis_selected='lambda') + xaxis_index = o_get.x_axis_data(x_axis_selected="index") + xaxis_tof = o_get.x_axis_data(x_axis_selected="tof") + xaxis_lambda = o_get.x_axis_data(x_axis_selected="lambda") # metadata metadata = ["#Marche Dollase Result of Fitting"] is_advance_mode = self.parent.ui.march_dollase_advanced_mode_checkBox.isChecked() - metadata.append("#Using advanced fitting mode: {}".format(is_advance_mode)) + metadata.append(f"#Using advanced fitting mode: {is_advance_mode}") data_label = "#image index, TOF(micros), Lambda(Angstroms)" temp_data = [] for _row in list_of_rows_selected: - _entry = fitting_input_dictionary['rois'][_row]['fitting']['march_dollase'] - _top_entry = fitting_input_dictionary['rois'][_row] - _line = "#-> row {}: x0: {}, y0:{}, width:{}, height:{}, " \ - "d_spacing:{}, sigma:{}, alpha:{}, a1:{}, " \ - "a2:{}".format(_row, - _top_entry['x0'], - _top_entry['y0'], - _top_entry['width'], - _top_entry['height'], - _entry['d_spacing'], - _entry['sigma'], - _entry['alpha'], - _entry['a1'], - _entry['a2']) + _entry = fitting_input_dictionary["rois"][_row]["fitting"]["march_dollase"] + _top_entry = fitting_input_dictionary["rois"][_row] + _line = ( + "#-> row {}: x0: {}, y0:{}, width:{}, height:{}, " + "d_spacing:{}, sigma:{}, alpha:{}, a1:{}, " + "a2:{}".format( + _row, + _top_entry["x0"], + _top_entry["y0"], + _top_entry["width"], + _top_entry["height"], + _entry["d_spacing"], + _entry["sigma"], + _entry["alpha"], + _entry["a1"], + _entry["a2"], + ) + ) if is_advance_mode: - _line += ", a5:{}, a6:{}".format(_entry['a5'], _entry['a6']) + _line += ", a5:{}, a6:{}".format(_entry["a5"], _entry["a6"]) metadata.append(_line) - data_label += ", row {}".format(_row) + data_label += f", row {_row}" temp_data.append(o_get.y_axis_data_of_selected_row(row_selected=_row)) @@ -420,17 +447,12 @@ def export_data_of_selected_rows(self): self.parent.debug_data = temp_data for _index in np.arange(len(xaxis_index)): - str_data = "{}, {}, {}".format(xaxis_index[_index], - xaxis_tof[_index], - xaxis_lambda[_index]) + str_data = f"{xaxis_index[_index]}, {xaxis_tof[_index]}, {xaxis_lambda[_index]}" for _col_index in np.arange(len(list_of_rows_selected)): - str_data += ", {}".format(temp_data[_col_index][_index]) + str_data += f", {temp_data[_col_index][_index]}" data.append(str_data) - make_ascii_file(metadata=metadata, - data=data, - output_file_name=output_file_name, - dim='1d') + make_ascii_file(metadata=metadata, data=data, output_file_name=output_file_name, dim="1d") - message = "{} has been created!".format(output_file_name) + message = f"{output_file_name} has been created!" self.parent.ui.statusbar.showMessage(message, 10000) # 10s diff --git a/notebooks/__code/bragg_edge/march_dollase_fitting_job_handler.py b/notebooks/__code/bragg_edge/march_dollase_fitting_job_handler.py index cea84e5f..5aea2861 100755 --- a/notebooks/__code/bragg_edge/march_dollase_fitting_job_handler.py +++ b/notebooks/__code/bragg_edge/march_dollase_fitting_job_handler.py @@ -1,13 +1,12 @@ -from lmfit import Model import numpy as np +from lmfit import Model from qtpy.QtWidgets import QApplication -from __code.bragg_edge.fitting_functions import march_dollase_basic_fit, march_dollase_advanced_fit +from __code.bragg_edge.fitting_functions import march_dollase_advanced_fit, march_dollase_basic_fit from __code.bragg_edge.get import Get class MarchDollaseFittingJobHandler: - def __init__(self, parent=None): self.parent = parent @@ -19,7 +18,7 @@ def is_advanced_mode(self): def initialize_d_spacing(self): d_spacing = self.get_d_spacing() - self.parent.march_dollase_fitting_initial_parameters['d_spacing'] = d_spacing + self.parent.march_dollase_fitting_initial_parameters["d_spacing"] = d_spacing def initialize_fitting_input_dictionary(self): """ @@ -32,26 +31,26 @@ def initialize_fitting_input_dictionary(self): list_name_of_parameters.append(_item) march_dollase_fitting_history_table = self.parent.march_dollase_fitting_history_table - [d_spacing_flag, sigma_flag, alpha_flag, a1_flag, a2_flag, a5_flag, a6_flag] = \ + [d_spacing_flag, sigma_flag, alpha_flag, a1_flag, a2_flag, a5_flag, a6_flag] = ( march_dollase_fitting_history_table[0] + ) d_spacing = self.get_d_spacing() sigma = self.get_sigma() alpha = self.get_alpha() - self.parent.march_dollase_fitting_initial_parameters['d_spacing'] = d_spacing + self.parent.march_dollase_fitting_initial_parameters["d_spacing"] = d_spacing fitting_input_dictionary = self.parent.fitting_input_dictionary - for _row in fitting_input_dictionary['rois'].keys(): - + for _row in fitting_input_dictionary["rois"].keys(): if not d_spacing_flag: - fitting_input_dictionary['rois'][_row]['fitting']['march_dollase']['d_spacing'] = d_spacing + fitting_input_dictionary["rois"][_row]["fitting"]["march_dollase"]["d_spacing"] = d_spacing if not sigma_flag: - fitting_input_dictionary['rois'][_row]['fitting']['march_dollase']['sigma'] = sigma + fitting_input_dictionary["rois"][_row]["fitting"]["march_dollase"]["sigma"] = sigma if not alpha_flag: - fitting_input_dictionary['rois'][_row]['fitting']['march_dollase']['alpha'] = alpha + fitting_input_dictionary["rois"][_row]["fitting"]["march_dollase"]["alpha"] = alpha # {'left_part': {'lambda_x_axis': [], # 'y_axis': [], @@ -65,47 +64,46 @@ def initialize_fitting_input_dictionary(self): # } self.left_center_right_axis = self.isolate_left_center_right_axis(row=_row) if self.is_advanced_mode(): - a2 = self.get_a2(advanced_mode=self.is_advanced_mode()) - fitting_input_dictionary['rois'][_row]['fitting']['march_dollase']['a2'] = a2 + fitting_input_dictionary["rois"][_row]["fitting"]["march_dollase"]["a2"] = a2 a5 = self.get_a5() - fitting_input_dictionary['rois'][_row]['fitting']['march_dollase']['a5'] = a5 + fitting_input_dictionary["rois"][_row]["fitting"]["march_dollase"]["a5"] = a5 a6 = self.get_a6() - fitting_input_dictionary['rois'][_row]['fitting']['march_dollase']['a6'] = a6 + fitting_input_dictionary["rois"][_row]["fitting"]["march_dollase"]["a6"] = a6 a1 = self.get_a1(advanced_mode=self.is_advanced_mode()) - fitting_input_dictionary['rois'][_row]['fitting']['march_dollase']['a1'] = a1 + fitting_input_dictionary["rois"][_row]["fitting"]["march_dollase"]["a1"] = a1 else: - a1 = self.get_a1(advanced_mode=self.is_advanced_mode()) - fitting_input_dictionary['rois'][_row]['fitting']['march_dollase']['a1'] = a1 + fitting_input_dictionary["rois"][_row]["fitting"]["march_dollase"]["a1"] = a1 a2 = self.get_a2(advanced_mode=self.is_advanced_mode()) - fitting_input_dictionary['rois'][_row]['fitting']['march_dollase']['a2'] = a2 + fitting_input_dictionary["rois"][_row]["fitting"]["march_dollase"]["a2"] = a2 def isolate_left_center_right_axis(self, row=-1): - bragg_edge_range = self.parent.fitting_input_dictionary['bragg_edge_range'] - [global_left_index, global_right_index] = [int(bragg_edge_range[0]), - int(bragg_edge_range[1])] + bragg_edge_range = self.parent.fitting_input_dictionary["bragg_edge_range"] + [global_left_index, global_right_index] = [int(bragg_edge_range[0]), int(bragg_edge_range[1])] # get full x-axis (lambda) - full_lambda_x_axis = self.parent.fitting_input_dictionary['xaxis']['lambda'][0] - lambda_x_axis = full_lambda_x_axis[global_left_index: global_right_index] + full_lambda_x_axis = self.parent.fitting_input_dictionary["xaxis"]["lambda"][0] + lambda_x_axis = full_lambda_x_axis[global_left_index:global_right_index] # get full y_axis (average transmission) - full_y_axis = self.parent.fitting_input_dictionary['rois'][row]['profile'] - y_axis = full_y_axis[global_left_index: global_right_index] + full_y_axis = self.parent.fitting_input_dictionary["rois"][row]["profile"] + y_axis = full_y_axis[global_left_index:global_right_index] [left_index, right_index] = self.parent.march_dollase_fitting_range_selected - return {'left_part' : {'lambda_x_axis': lambda_x_axis[0: left_index], - 'y_axis' : y_axis[0: left_index]}, - 'center_part': {'lambda_x_axis': lambda_x_axis[left_index: right_index], - 'y_axis' : y_axis[left_index: right_index]}, - 'right_part' : {'lambda_x_axis': lambda_x_axis[right_index:], - 'y_axis' : y_axis[right_index:]}} + return { + "left_part": {"lambda_x_axis": lambda_x_axis[0:left_index], "y_axis": y_axis[0:left_index]}, + "center_part": { + "lambda_x_axis": lambda_x_axis[left_index:right_index], + "y_axis": y_axis[left_index:right_index], + }, + "right_part": {"lambda_x_axis": lambda_x_axis[right_index:], "y_axis": y_axis[right_index:]}, + } def get_a1(self, advanced_mode=True): if advanced_mode: @@ -115,7 +113,7 @@ def get_a1(self, advanced_mode=True): return intercept + a2 * a6 else: all_fitting_axis_dictionary = self.left_center_right_axis - y_axis = all_fitting_axis_dictionary['left_part']['y_axis'] + y_axis = all_fitting_axis_dictionary["left_part"]["y_axis"] a1 = np.mean(y_axis) self.a1 = a1 return a1 @@ -123,8 +121,8 @@ def get_a1(self, advanced_mode=True): def get_a2(self, advanced_mode=True): all_fitting_axis_dictionary = self.left_center_right_axis if advanced_mode: - x_axis = all_fitting_axis_dictionary['left_part']['lambda_x_axis'] - y_axis = all_fitting_axis_dictionary['left_part']['y_axis'] + x_axis = all_fitting_axis_dictionary["left_part"]["lambda_x_axis"] + y_axis = all_fitting_axis_dictionary["left_part"]["y_axis"] [slope, interception] = np.polyfit(x_axis, y_axis, 1) @@ -134,7 +132,7 @@ def get_a2(self, advanced_mode=True): else: _mean_left_part_side = self.a1 - y_axis = all_fitting_axis_dictionary['right_part']['y_axis'] + y_axis = all_fitting_axis_dictionary["right_part"]["y_axis"] _mean_right_part_side = np.mean(y_axis) a2 = np.abs(_mean_right_part_side - _mean_left_part_side) return a2 @@ -142,8 +140,8 @@ def get_a2(self, advanced_mode=True): def get_a5(self): all_fitting_axis_dictionary = self.left_center_right_axis - x_axis = all_fitting_axis_dictionary['right_part']['lambda_x_axis'] - y_axis = all_fitting_axis_dictionary['right_part']['y_axis'] + x_axis = all_fitting_axis_dictionary["right_part"]["lambda_x_axis"] + y_axis = all_fitting_axis_dictionary["right_part"]["y_axis"] [slope, _] = np.polyfit(x_axis, y_axis) self.a5 = slope @@ -152,32 +150,32 @@ def get_a5(self): def get_a6(self): all_fitting_axis_dictionary = self.left_center_right_axis - x_axis = all_fitting_axis_dictionary['right_part']['lambda_x_axis'] - y_axis = all_fitting_axis_dictionary['right_part']['y_axis'] + x_axis = all_fitting_axis_dictionary["right_part"]["lambda_x_axis"] + y_axis = all_fitting_axis_dictionary["right_part"]["y_axis"] - a6 = x_axis - (2. * y_axis) / (self.a5 - self.a2) + a6 = x_axis - (2.0 * y_axis) / (self.a5 - self.a2) self.a6 = a6 return a6 def get_sigma(self): - return self.parent.march_dollase_fitting_initial_parameters['sigma'] + return self.parent.march_dollase_fitting_initial_parameters["sigma"] def get_alpha(self): - return self.parent.march_dollase_fitting_initial_parameters['alpha'] + return self.parent.march_dollase_fitting_initial_parameters["alpha"] def get_d_spacing(self): """ calculates the d_spacing using the lambda range selection and using the central lambda 2* d_spacing = lambda """ - lambda_axis = self.parent.fitting_input_dictionary['xaxis']['lambda'] + lambda_axis = self.parent.fitting_input_dictionary["xaxis"]["lambda"] bragg_edge_range = self.parent.march_dollase_fitting_range_selected from_lambda = float(lambda_axis[0][int(bragg_edge_range[0])]) to_lambda = float(lambda_axis[0][int(bragg_edge_range[1])]) average_lambda = np.mean([from_lambda, to_lambda]) - d_spacing = average_lambda / 2. + d_spacing = average_lambda / 2.0 return d_spacing @@ -188,23 +186,21 @@ def prepare(self): _is_advanced_mode = self.is_advanced_mode() if _is_advanced_mode: - gmodel = Model(march_dollase_advanced_fit, missing='drop') + gmodel = Model(march_dollase_advanced_fit, missing="drop") else: # gmodel = Model(march_dollase_basic_fit, missing='drop') - gmodel = Model(march_dollase_basic_fit, nan_policy='propagate') + gmodel = Model(march_dollase_basic_fit, nan_policy="propagate") march_dollase_fitting_history_table = self.parent.march_dollase_fitting_history_table nbr_row_in_fitting_scenario = len(march_dollase_fitting_history_table) self.parent.ui.eventProgress.setValue(0) - nbr_roi_row = len(fitting_input_dictionary['rois'].keys()) + nbr_roi_row = len(fitting_input_dictionary["rois"].keys()) self.parent.ui.eventProgress.setMaximum(nbr_roi_row) self.parent.ui.eventProgress.setVisible(True) def set_params(params_object, name_of_parameter, dict_entry, parameter_flag): - params_object.add(name_of_parameter, - value=float(dict_entry[name_of_parameter]), - vary=parameter_flag) + params_object.add(name_of_parameter, value=float(dict_entry[name_of_parameter]), vary=parameter_flag) def record_result_into_dict(entry_dict, result_object, name_of_parameter, parameter_flag): if parameter_flag: @@ -216,32 +212,30 @@ def record_result_into_dict(entry_dict, result_object, name_of_parameter, parame print(f" - error: {error}") for _roi_row in np.arange(nbr_roi_row): - _entry = fitting_input_dictionary['rois'][_roi_row]['fitting']['march_dollase'] + _entry = fitting_input_dictionary["rois"][_roi_row]["fitting"]["march_dollase"] o_get = Get(parent=self.parent) - xaxis = o_get.x_axis_data(x_axis_selected='lambda') + xaxis = o_get.x_axis_data(x_axis_selected="lambda") yaxis = o_get.y_axis_data_of_selected_row(_roi_row) for _history_row, _row_entry in enumerate(march_dollase_fitting_history_table): - - [d_spacing_flag, sigma_flag, alpha_flag, - a1_flag, a2_flag, a5_flag, a6_flag] = _row_entry + [d_spacing_flag, sigma_flag, alpha_flag, a1_flag, a2_flag, a5_flag, a6_flag] = _row_entry if _is_advanced_mode: - a5_flag = _entry['a5'] - a6_flag = _entry['a6'] + a5_flag = _entry["a5"] + a6_flag = _entry["a6"] params = gmodel.make_params() - set_params(params, 'd_spacing', _entry, d_spacing_flag) - set_params(params, 'sigma', _entry, sigma_flag) - set_params(params, 'alpha', _entry, alpha_flag) - set_params(params, 'a1', _entry, a1_flag) - set_params(params, 'a2', _entry, a2_flag) + set_params(params, "d_spacing", _entry, d_spacing_flag) + set_params(params, "sigma", _entry, sigma_flag) + set_params(params, "alpha", _entry, alpha_flag) + set_params(params, "a1", _entry, a1_flag) + set_params(params, "a2", _entry, a2_flag) if _is_advanced_mode: - set_params(params, 'a5', _entry, a5_flag) - set_params(params, 'a6', _entry, a6_flag) + set_params(params, "a5", _entry, a5_flag) + set_params(params, "a6", _entry, a6_flag) print("Parameters pre-initialized:") if not d_spacing_flag: @@ -263,15 +257,15 @@ def record_result_into_dict(entry_dict, result_object, name_of_parameter, parame print(f"in _history_row: {_history_row}") o_result = ResultValueError(result=result) - record_result_into_dict(_entry, o_result, 'd_spacing', d_spacing_flag) - record_result_into_dict(_entry, o_result, 'sigma', sigma_flag) - record_result_into_dict(_entry, o_result, 'alpha', alpha_flag) - record_result_into_dict(_entry, o_result, 'a1', a1_flag) - record_result_into_dict(_entry, o_result, 'a2', a2_flag) + record_result_into_dict(_entry, o_result, "d_spacing", d_spacing_flag) + record_result_into_dict(_entry, o_result, "sigma", sigma_flag) + record_result_into_dict(_entry, o_result, "alpha", alpha_flag) + record_result_into_dict(_entry, o_result, "a1", a1_flag) + record_result_into_dict(_entry, o_result, "a2", a2_flag) if _is_advanced_mode: - record_result_into_dict(_entry, o_result, 'a5', a5_flag) - record_result_into_dict(_entry, o_result, 'a6', a6_flag) + record_result_into_dict(_entry, o_result, "a5", a5_flag) + record_result_into_dict(_entry, o_result, "a6", a6_flag) break # for debugging only (stop only after first row) @@ -279,15 +273,14 @@ def record_result_into_dict(entry_dict, result_object, name_of_parameter, parame QApplication.processEvents() self.parent.ui.eventProgress.setVisible(False) - self.parent.fitting_procedure_started['march-dollase'] = True - + self.parent.fitting_procedure_started["march-dollase"] = True -class ResultValueError(object): +class ResultValueError: def __init__(self, result=None): self.result = result - def get_value_err(self, tag=''): + def get_value_err(self, tag=""): value = self.result.params[tag].value error = self.result.params[tag].stderr return [value, error] diff --git a/notebooks/__code/bragg_edge/mplcanvas.py b/notebooks/__code/bragg_edge/mplcanvas.py index 7a1c7f9f..da73188a 100755 --- a/notebooks/__code/bragg_edge/mplcanvas.py +++ b/notebooks/__code/bragg_edge/mplcanvas.py @@ -1,15 +1,14 @@ import matplotlib -matplotlib.use('Qt5Agg') + +matplotlib.use("Qt5Agg") from matplotlib.backends.backend_qt5agg import FigureCanvasQTAgg from matplotlib.figure import Figure class MplCanvas(FigureCanvasQTAgg): - def __init__(self, parent=None, width=5, height=4, dpi=100): fig = Figure(figsize=(width, height), dpi=dpi) self.axes = fig.add_subplot(111) self.fig = fig super(MplCanvas, self).__init__(fig) - diff --git a/notebooks/__code/bragg_edge/peak_fitting_evaluation/__init__.py b/notebooks/__code/bragg_edge/peak_fitting_evaluation/__init__.py index 62fb5076..6871d3b6 100755 --- a/notebooks/__code/bragg_edge/peak_fitting_evaluation/__init__.py +++ b/notebooks/__code/bragg_edge/peak_fitting_evaluation/__init__.py @@ -1,3 +1,3 @@ LOG_FILENAME = ".bragg_edge_peak_fitting_evaluation.log" -DEBUGGING = True \ No newline at end of file +DEBUGGING = True diff --git a/notebooks/__code/bragg_edge/peak_fitting_evaluation/bragg_edge.py b/notebooks/__code/bragg_edge/peak_fitting_evaluation/bragg_edge.py index a9ed770c..1b4a49e6 100755 --- a/notebooks/__code/bragg_edge/peak_fitting_evaluation/bragg_edge.py +++ b/notebooks/__code/bragg_edge/peak_fitting_evaluation/bragg_edge.py @@ -1,55 +1,53 @@ -import random -import os import glob -from IPython.display import HTML -from IPython.display import display -import numpy as np +import os +import random from collections import OrderedDict -from plotly.offline import iplot + +import numpy as np import plotly.graph_objs as go -from ipywidgets import widgets import pyqtgraph as pg - -from qtpy.QtWidgets import QMainWindow, QProgressBar, QVBoxLayout, QTableWidgetSelectionRange, QTableWidgetItem -from qtpy import QtGui, QtCore - -from __code import load_ui - -from neutronbraggedge.experiment_handler import * +from IPython.display import HTML, display +from ipywidgets import widgets +from NeuNorm.normalization import Normalization from neutronbraggedge.braggedge import BraggEdge as BraggEdgeLibrary +from neutronbraggedge.experiment_handler import * from neutronbraggedge.material_handler.retrieve_material_metadata import RetrieveMaterialMetadata -from NeuNorm.normalization import Normalization +from plotly.offline import iplot +from qtpy import QtGui +from qtpy.QtWidgets import QMainWindow, QProgressBar, QTableWidgetItem, QTableWidgetSelectionRange, QVBoxLayout +from __code import file_handler, load_ui from __code.ipywe import fileselector -from __code import file_handler -from __code.ui_roi_selection import Ui_MainWindow as UiMainWindow class BraggEdge: - - list_of_elements = ['Fe'] + list_of_elements = ["Fe"] data = [] spectra_file = None - label_width = '15%' + label_width = "15%" - def __init__(self, working_dir='./'): + def __init__(self, working_dir="./"): self.working_dir = working_dir self.ipts_folder = working_dir def full_list_elements(self): - retrieve_material = RetrieveMaterialMetadata(material='all') + retrieve_material = RetrieveMaterialMetadata(material="all") self.list_returned = retrieve_material.full_list_material() - box4 = widgets.HBox([widgets.Label("List of elements", - layout=widgets.Layout(width=self.label_width)), - widgets.Select(options=self.list_returned, - layout=widgets.Layout(width='20%'))]) + box4 = widgets.HBox( + [ + widgets.Label("List of elements", layout=widgets.Layout(width=self.label_width)), + widgets.Select(options=self.list_returned, layout=widgets.Layout(width="20%")), + ] + ) - box5 = widgets.HBox([widgets.Label("Nbr Bragg Edges", - layout=widgets.Layout(width=self.label_width)), - widgets.IntText(8, - layout=widgets.Layout(width='20%'))]) + box5 = widgets.HBox( + [ + widgets.Label("Nbr Bragg Edges", layout=widgets.Layout(width=self.label_width)), + widgets.IntText(8, layout=widgets.Layout(width="20%")), + ] + ) vertical_box = widgets.VBox([box4, box5]) display(vertical_box) @@ -58,21 +56,25 @@ def full_list_elements(self): self.nbr_bragg_edges_ui = box5.children[1] def list_elements(self): - retrieve_material = RetrieveMaterialMetadata(material='all') + retrieve_material = RetrieveMaterialMetadata(material="all") self.list_returned = retrieve_material.full_list_material() # import pprint # pprint.pprint(list_returned) - box4 = widgets.HBox([widgets.Label("List of elements", - layout=widgets.Layout(width=self.label_width)), - widgets.Text(','.join(self.list_of_elements), - layout=widgets.Layout(width='20%'))]) + box4 = widgets.HBox( + [ + widgets.Label("List of elements", layout=widgets.Layout(width=self.label_width)), + widgets.Text(",".join(self.list_of_elements), layout=widgets.Layout(width="20%")), + ] + ) - box5 = widgets.HBox([widgets.Label("Nbr Bragg Edges", - layout=widgets.Layout(width=self.label_width)), - widgets.Text(str(8), - layout=widgets.Layout(width='20%'))]) + box5 = widgets.HBox( + [ + widgets.Label("Nbr Bragg Edges", layout=widgets.Layout(width=self.label_width)), + widgets.Text(str(8), layout=widgets.Layout(width="20%")), + ] + ) vertical_box = widgets.VBox([box4, box5]) display(vertical_box) @@ -81,16 +83,19 @@ def list_elements(self): self.nbr_bragg_edges_ui = box5.children[1] def exp_setup(self): + box2 = widgets.HBox( + [ + widgets.Label("dSD (m)", layout=widgets.Layout(width=self.label_width)), + widgets.Text(str(16.08), layout=widgets.Layout(width="20%")), + ] + ) - box2 = widgets.HBox([widgets.Label("dSD (m)", - layout=widgets.Layout(width=self.label_width)), - widgets.Text(str(16.08), - layout=widgets.Layout(width='20%'))]) - - box3 = widgets.HBox([widgets.Label("detector offset (microS)", - layout=widgets.Layout(width=self.label_width)), - widgets.Text(str(3700), - layout=widgets.Layout(width='20%'))]) + box3 = widgets.HBox( + [ + widgets.Label("detector offset (microS)", layout=widgets.Layout(width=self.label_width)), + widgets.Text(str(3700), layout=widgets.Layout(width="20%")), + ] + ) vertical_box = widgets.VBox([box2, box3]) display(vertical_box) @@ -99,14 +104,12 @@ def exp_setup(self): self.detector_offset_ui = box3.children[1] def list_powder_bragg_edges(self): - list_of_elements_selected = self.list_elements_ui.value - list_of_elements = list_of_elements_selected.split(',') + list_of_elements = list_of_elements_selected.split(",") list_of_elements = [_element.strip() for _element in list_of_elements] number_of_bragg_edges = int(self.nbr_bragg_edges_ui.value) - _handler = BraggEdgeLibrary(material=list_of_elements, - number_of_bragg_edges=number_of_bragg_edges) + _handler = BraggEdgeLibrary(material=list_of_elements, number_of_bragg_edges=number_of_bragg_edges) self.bragg_edges = _handler.bragg_edges self.hkl = _handler.hkl self.handler = _handler @@ -114,22 +117,24 @@ def list_powder_bragg_edges(self): print(_handler) def select_working_folder(self): - select_data = fileselector.FileSelectorPanel(instruction='Select Data Folder ...', - start_dir=self.working_dir, - next=self.load_data, - type='directory', - multiple=False) + select_data = fileselector.FileSelectorPanel( + instruction="Select Data Folder ...", + start_dir=self.working_dir, + next=self.load_data, + type="directory", + multiple=False, + ) select_data.show() def load_data(self, folder_selected): - list_files = glob.glob(os.path.join(folder_selected, '*.fits')) + list_files = glob.glob(os.path.join(folder_selected, "*.fits")) if list_files == []: - list_files = glob.glob(os.path.join(folder_selected, '*.tif*')) + list_files = glob.glob(os.path.join(folder_selected, "*.tif*")) - else: #fits + else: # fits # keep only files of interest - list_files = [file for file in list_files if not "_SummedImg.fits" in file] + list_files = [file for file in list_files if "_SummedImg.fits" not in file] list_files = [file for file in list_files if ".fits" in file] # sort list of files @@ -138,65 +143,76 @@ def load_data(self, folder_selected): o_norm = Normalization() o_norm.load(file=list_files, notebook=True) - self.data = o_norm.data['sample']['data'] - self.list_files = o_norm.data['sample']['file_name'] + self.data = o_norm.data["sample"]["data"] + self.list_files = o_norm.data["sample"]["file_name"] - display(HTML('' + str(len(list_files)) + \ - ' files have been loaded')) + display( + HTML('' + str(len(list_files)) + " files have been loaded") + ) # define time spectra file folder = os.path.dirname(self.list_files[0]) - spectra_file = glob.glob(os.path.join(folder, '*_Spectra.txt')) + spectra_file = glob.glob(os.path.join(folder, "*_Spectra.txt")) if spectra_file: self.spectra_file = spectra_file[0] - display(HTML(' Spectra File automatically located: ' + \ - self.spectra_file + '')) + display( + HTML( + ' Spectra File automatically located: ' + + self.spectra_file + + "" + ) + ) else: - #ask for spectra file + # ask for spectra file self.select_time_spectra_file() def load_time_spectra(self): _tof_handler = TOF(filename=self.spectra_file) - _exp = Experiment(tof=_tof_handler.tof_array, - distance_source_detector_m=float(self.dSD_ui.value), - detector_offset_micros=float(self.detector_offset_ui.value)) + _exp = Experiment( + tof=_tof_handler.tof_array, + distance_source_detector_m=float(self.dSD_ui.value), + detector_offset_micros=float(self.detector_offset_ui.value), + ) self.lambda_array = _exp.lambda_array * 1e10 # to be in Angstroms self.tof_array = _tof_handler.tof_array def save_time_spectra(self, file): self.spectra_file = file - display(HTML(' Spectra File : ' + \ - self.spectra_file + '')) + display(HTML(' Spectra File : ' + self.spectra_file + "")) def select_time_spectra_file(self): self.working_dir = os.path.dirname(self.list_files[0]) - self.time_spectra_ui = fileselector.FileSelectorPanel(instruction='Select Time Spectra File ...', - start_dir=self.working_dir, - next=self.save_time_spectra, - filters={'spectra_file': "_Spectra.txt"}, - multiple=False) + self.time_spectra_ui = fileselector.FileSelectorPanel( + instruction="Select Time Spectra File ...", + start_dir=self.working_dir, + next=self.save_time_spectra, + filters={"spectra_file": "_Spectra.txt"}, + multiple=False, + ) self.time_spectra_ui.show() def select_just_time_spectra_file(self): - self.time_spectra_ui = fileselector.FileSelectorPanel(instruction='Select Time Spectra File ...', - start_dir=self.working_dir, - filters={'spectra_file': "*_Spectra.txt"}, - multiple=False) + self.time_spectra_ui = fileselector.FileSelectorPanel( + instruction="Select Time Spectra File ...", + start_dir=self.working_dir, + filters={"spectra_file": "*_Spectra.txt"}, + multiple=False, + ) self.time_spectra_ui.show() def how_many_data_to_use_to_select_sample_roi(self): nbr_images = len(self.data) - init_value = int(nbr_images/10) + init_value = int(nbr_images / 10) if init_value == 0: init_value = 1 - box1 = widgets.HBox([widgets.Label("Nbr of images to use:", - layout=widgets.Layout(width='15')), - widgets.IntSlider(value=init_value, - max=nbr_images, - min=1, - layout=widgets.Layout(width='50%'))]) + box1 = widgets.HBox( + [ + widgets.Label("Nbr of images to use:", layout=widgets.Layout(width="15")), + widgets.IntSlider(value=init_value, max=nbr_images, min=1, layout=widgets.Layout(width="50%")), + ] + ) box2 = widgets.Label("(The more you select, the longer it will take to display the preview!)") vbox = widgets.VBox([box1, box2]) display(vbox) @@ -223,18 +239,15 @@ def define_integrated_sample_to_use(self): self.final_image = final_image def calculate_counts_vs_file_index_of_regions_selected(self, list_roi=[]): - counts_vs_file_index = [] for _data in self.data: - _array_data = [] for _roi in list_roi.keys(): - - x0 = int(list_roi[_roi]['x0']) - y0 = int(list_roi[_roi]['y0']) - x1 = int(list_roi[_roi]['x1']) - y1 = int(list_roi[_roi]['y1']) + x0 = int(list_roi[_roi]["x0"]) + y0 = int(list_roi[_roi]["y0"]) + x1 = int(list_roi[_roi]["x1"]) + y1 = int(list_roi[_roi]["y1"]) _array_data.append(np.mean(_data[y0:y1, x0:x1])) @@ -243,7 +256,6 @@ def calculate_counts_vs_file_index_of_regions_selected(self, list_roi=[]): self.counts_vs_file_index = counts_vs_file_index def plot(self): - bragg_edges = self.bragg_edges hkl = self.hkl lambda_array = self.lambda_array @@ -259,21 +271,14 @@ def plot(self): _hkl_string.append(_hkl_s) _hkl_formated[_material] = _hkl_string - trace = go.Scatter( - x=self.lambda_array, - y=self.counts_vs_file_index, - mode='markers') + trace = go.Scatter(x=self.lambda_array, y=self.counts_vs_file_index, mode="markers") layout = go.Layout( width=1000, height=500, title="Sum Counts vs TOF", - xaxis=dict( - title="Lambda (Angstroms)" - ), - yaxis=dict( - title="Sum Counts" - ), + xaxis=dict(title="Lambda (Angstroms)"), + yaxis=dict(title="Sum Counts"), ) max_x = 6 @@ -286,16 +291,15 @@ def plot(self): for _index, _value in enumerate(bragg_edges[_material]): if _value > max_x: continue - bragg_line = {"type": "line", - 'x0': _value, - 'x1': _value, - 'yref': "paper", - 'y0': 0, - 'y1': 1, - 'line': { - 'color': 'rgb(255, 0, 0)', - 'width': 1 - }} + bragg_line = { + "type": "line", + "x0": _value, + "x1": _value, + "yref": "paper", + "y0": 0, + "y1": 1, + "line": {"color": "rgb(255, 0, 0)", "width": 1}, + } figure.add_shape(bragg_line) # layout.shapes.append(bragg_line) y_off = 1 - 0.25 * y_index @@ -306,15 +310,12 @@ def plot(self): y=y_off, text=_hkl_formated[_material][_index], yref="paper", - font=dict( - family="Arial", - size=16, - color="rgb(150,50,50)" - ), + font=dict(family="Arial", size=16, color="rgb(150,50,50)"), showarrow=True, arrowhead=3, ax=0, - ay=-25) + ay=-25, + ) figure.add_annotation(_annot) @@ -322,18 +323,19 @@ def plot(self): iplot(figure) def select_output_folder(self): - self.select_folder(message='output', - next_function=self.export_table) + self.select_folder(message="output", next_function=self.export_table) def export_table(self, output_folder): material = self.handler.material[0] lattice = self.handler.lattice[material] crystal_structure = self.handler.crystal_structure[material] - metadata = ["# material: {}".format(material), - "# crystal structure: {}".format(crystal_structure), - "# lattice: {} Angstroms".format(lattice), - "#", - "# hkl, d(angstroms), BraggEdge"] + metadata = [ + f"# material: {material}", + f"# crystal structure: {crystal_structure}", + f"# lattice: {lattice} Angstroms", + "#", + "# hkl, d(angstroms), BraggEdge", + ] data = [] bragg_edges = self.bragg_edges[material] hkl = self.hkl[material] @@ -341,55 +343,55 @@ def export_table(self, output_folder): _hkl_str = [str(i) for i in hkl[_index]] _hkl = "".join(_hkl_str) _bragg_edges = float(bragg_edges[_index]) - _d = _bragg_edges/2. - _row = "{}, {}, {}".format(_hkl, _d, _bragg_edges) + _d = _bragg_edges / 2.0 + _row = f"{_hkl}, {_d}, {_bragg_edges}" data.append(_row) - output_file_name = os.path.join(output_folder, 'bragg_edges_of_{}.txt'.format(material)) + output_file_name = os.path.join(output_folder, f"bragg_edges_of_{material}.txt") - file_handler.make_ascii_file(metadata=metadata, - data=data, - dim='1d', - output_file_name=output_file_name) + file_handler.make_ascii_file(metadata=metadata, data=data, dim="1d", output_file_name=output_file_name) - display(HTML('File created : ' + \ - output_file_name + '')) + display(HTML('File created : ' + output_file_name + "")) def select_folder(self, message="", next_function=None): - folder_widget = fileselector.FileSelectorPanel(instruction='select {} folder'.format(message), - start_dir=self.working_dir, - next=next_function, - type='directory', - multiple=False) + folder_widget = fileselector.FileSelectorPanel( + instruction=f"select {message} folder", + start_dir=self.working_dir, + next=next_function, + type="directory", + multiple=False, + ) folder_widget.show() class Interface(QMainWindow): - roi_width = 0.01 - roi_selected = {} #nice formatting of list_roi for outside access + roi_selected = {} # nice formatting of list_roi for outside access live_data = [] o_norm = None roi_column_width = 70 integrated_image = None - integrated_image_size = {'width': -1, 'height': -1} + integrated_image_size = {"width": -1, "height": -1} - list_roi = {} # 'row": {'x0':None, 'y0': None, 'x1': None, 'y1': None} - default_roi = {'x0': 0, 'y0': 0, 'x1': 50, 'y1': 50, 'id': None} + list_roi = {} # 'row": {'x0':None, 'y0': None, 'x1': None, 'y1': None} + default_roi = {"x0": 0, "y0": 0, "x1": 50, "y1": 50, "id": None} def __init__(self, parent=None, data=None, instruction="", next=None): - - display(HTML('Check UI that popped up \ - (maybe hidden behind this browser!)')) + display( + HTML( + 'Check UI that popped up \ + (maybe hidden behind this browser!)' + ) + ) self.live_data = data self.next = next super(QMainWindow, self).__init__(parent) - ui_full_path = os.path.join(os.path.dirname(os.path.dirname(os.path.dirname(__file__))), - os.path.join('ui', - 'ui_roi_selection.ui')) + ui_full_path = os.path.join( + os.path.dirname(os.path.dirname(os.path.dirname(__file__))), os.path.join("ui", "ui_roi_selection.ui") + ) self.ui = load_ui(ui_full_path, baseinstance=self) # QMainWindow.__init__(self, parent=parent) @@ -459,12 +461,12 @@ def init_statusbar(self): def integrate_images(self): self.integrated_image = self.live_data [_height, _width] = np.shape(self.integrated_image) - self.integrated_image_size['height'] = _height - self.integrated_image_size['width'] = _width + self.integrated_image_size["height"] = _height + self.integrated_image_size["width"] = _width def _clean_image(self, image): _result_inf = np.where(np.isinf(image)) - image[_result_inf] = np.NaN + image[_result_inf] = np.nan return image def display_image(self): @@ -473,11 +475,11 @@ def display_image(self): self.ui.image_view.setImage(_image) def remove_row_entry(self, row): - _roi_id = self.list_roi[row]['id'] + _roi_id = self.list_roi[row]["id"] self.ui.image_view.removeItem(_roi_id) del self.list_roi[row] - #rename row + # rename row new_list_roi = {} new_row_index = 0 for _previous_row_index in self.list_roi.keys(): @@ -486,7 +488,6 @@ def remove_row_entry(self, row): self.list_roi = new_list_roi def remove_roi_button_clicked(self): - self.ui.table_roi.blockSignals(True) _selection = self.ui.table_roi.selectedRanges() @@ -506,7 +507,7 @@ def remove_roi_button_clicked(self): if new_nbr_row == 0: return - if row == (old_nbr_row-1): + if row == (old_nbr_row - 1): row = new_nbr_row - 1 _new_selection = QTableWidgetSelectionRange(row, 0, row, 3) @@ -531,26 +532,26 @@ def update_table_roi_ui(self): self.ui.table_roi.insertRow(_index_row) - self._set_item_value(_index_row, 0, _roi['x0']) + self._set_item_value(_index_row, 0, _roi["x0"]) # _item = QTableWidgetItem(str(_roi['x0'])) # self.ui.table_roi.setItem(_index_row, 0, _item) - self._set_item_value(_index_row, 1, _roi['y0']) + self._set_item_value(_index_row, 1, _roi["y0"]) # _item = QTableWidgetItem(str(_roi['y0'])) # self.ui.table_roi.setItem(_index_row, 1, _item) - self._set_item_value(_index_row, 2, _roi['x1']) + self._set_item_value(_index_row, 2, _roi["x1"]) # _item = QTableWidgetItem(str(_roi['x1'])) # self.ui.table_roi.setItem(_index_row, 2, _item) - self._set_item_value(_index_row, 3, _roi['y1']) + self._set_item_value(_index_row, 3, _roi["y1"]) # _item = QTableWidgetItem(str(_roi['y1'])) # self.ui.table_roi.setItem(_index_row, 3, _item) _index_row += 1 self.ui.table_roi.blockSignals(False) - #self.ui.table_roi.itemChanged['QTableWidgetItem*'].connect(self.update_table_roi) + # self.ui.table_roi.itemChanged['QTableWidgetItem*'].connect(self.update_table_roi) def _set_item_value(self, row=0, column=0, value=-1): _item = QTableWidgetItem(str(value)) @@ -563,9 +564,9 @@ def check_roi_validity(self, value, x_axis=True): value = int(value) if x_axis: - max_value = self.integrated_image_size['width'] + max_value = self.integrated_image_size["width"] else: - max_value = self.integrated_image_size['height'] + max_value = self.integrated_image_size["height"] if value < 0: return min_value @@ -598,11 +599,11 @@ def update_table_roi(self, item): self._set_item_value(_row, 2, _x1) self._set_item_value(_row, 3, _y1) - _roi['x0'] = _x0 - _roi['y0'] = _y0 - _roi['x1'] = _x1 - _roi['y1'] = _y1 - _roi['id'] = old_list_roi[_row]['id'] + _roi["x0"] = _x0 + _roi["y0"] = _y0 + _roi["x1"] = _x1 + _roi["y1"] = _y1 + _roi["id"] = old_list_roi[_row]["id"] new_list_roi[_row] = _roi @@ -617,17 +618,16 @@ def update_image_view_item(self): for _row in list_roi.keys(): _roi = list_roi[_row] - _x0 = int(_roi['x0']) - _y0 = int(_roi['y0']) - _x1 = int(_roi['x1']) - _y1 = int(_roi['y1']) + _x0 = int(_roi["x0"]) + _y0 = int(_roi["y0"]) + _x1 = int(_roi["x1"]) + _y1 = int(_roi["y1"]) _width = np.abs(_x1 - _x0) _height = np.abs(_y1 - _y0) - _roi_id = self.init_roi(x0=_x0, y0=_y0, - width=_width, height=_height) - _roi['id'] = _roi_id + _roi_id = self.init_roi(x0=_x0, y0=_y0, width=_width, height=_height) + _roi["id"] = _roi_id list_roi[_row] = _roi @@ -638,16 +638,15 @@ def _get_item_value(self, row, column): if _item: return str(_item.text()) else: - return '' + return "" def roi_manually_moved(self): list_roi = self.list_roi for _row in list_roi.keys(): - _roi = list_roi[_row] - roi_id = _roi['id'] + roi_id = _roi["id"] region = roi_id.getArraySlice(self.integrated_image, self.ui.image_view.imageItem) x0 = region[0][0].start @@ -655,10 +654,10 @@ def roi_manually_moved(self): y0 = region[0][1].start y1 = region[0][1].stop - _roi['x0'] = x0 - _roi['x1'] = x1 - _roi['y0'] = y0 - _roi['y1'] = y1 + _roi["x0"] = x0 + _roi["x1"] = x1 + _roi["y0"] = y0 + _roi["y1"] = y1 list_roi[_row] = _roi @@ -669,9 +668,8 @@ def clear_roi_on_image_view(self): list_roi = self.list_roi for _row in list_roi.keys(): - _roi = list_roi[_row] - roi_id = _roi['id'] + roi_id = _roi["id"] self.ui.image_view.removeItem(roi_id) def add_roi_button_clicked(self): @@ -688,16 +686,16 @@ def add_roi_button_clicked(self): self.ui.table_roi.insertRow(row) _default_roi = self.default_roi - _item = QTableWidgetItem(str(_default_roi['x0'])) + _item = QTableWidgetItem(str(_default_roi["x0"])) self.ui.table_roi.setItem(row, 0, _item) - _item = QTableWidgetItem(str(_default_roi['y0'])) + _item = QTableWidgetItem(str(_default_roi["y0"])) self.ui.table_roi.setItem(row, 1, _item) - _item = QTableWidgetItem(str(_default_roi['x1'])) + _item = QTableWidgetItem(str(_default_roi["x1"])) self.ui.table_roi.setItem(row, 2, _item) - _item = QTableWidgetItem(str(_default_roi['y1'])) + _item = QTableWidgetItem(str(_default_roi["y1"])) self.ui.table_roi.setItem(row, 3, _item) # save new list_roi dictionary @@ -707,25 +705,24 @@ def add_roi_button_clicked(self): _roi = {} _x0 = self._get_item_value(_row, 0) - _roi['x0'] = int(_x0) + _roi["x0"] = int(_x0) _y0 = self._get_item_value(_row, 1) - _roi['y0'] = int(_y0) + _roi["y0"] = int(_y0) _x1 = self._get_item_value(_row, 2) - _roi['x1'] = int(_x1) + _roi["x1"] = int(_x1) _y1 = self._get_item_value(_row, 3) - _roi['y1'] = int(_y1) + _roi["y1"] = int(_y1) x0_int = int(_x0) y0_int = int(_y0) width_int = np.abs(x0_int - int(_x1)) height_int = np.abs(y0_int - int(_y1)) - _roi_id = self.init_roi(x0=x0_int, y0=y0_int, - width=width_int, height=height_int) - _roi['id'] = _roi_id + _roi_id = self.init_roi(x0=x0_int, y0=y0_int, width=width_int, height=height_int) + _roi["id"] = _roi_id list_roi[_row] = _roi self.list_roi = list_roi @@ -762,17 +759,17 @@ def format_roi(self): roi_selected = {} for _key in self.list_roi.keys(): _roi = self.list_roi[_key] - x0 = _roi['x0'] - y0 = _roi['y0'] - x1 = _roi['x1'] - y1 = _roi['y1'] - new_entry = {'x0': x0, 'y0': y0, 'x1': x1, 'y1': y1} + x0 = _roi["x0"] + y0 = _roi["y0"] + x1 = _roi["x1"] + y1 = _roi["y1"] + new_entry = {"x0": x0, "y0": y0, "x1": x1, "y1": y1} roi_selected[_key] = new_entry self.roi_selected = roi_selected def apply_clicked(self): - self.update_table_roi(None) #check ROI before leaving application + self.update_table_roi(None) # check ROI before leaving application self.format_roi() self.close() diff --git a/notebooks/__code/bragg_edge/peak_fitting_evaluation/bragg_edge_normalization.py b/notebooks/__code/bragg_edge/peak_fitting_evaluation/bragg_edge_normalization.py index de5e9d2f..ecda5a9f 100755 --- a/notebooks/__code/bragg_edge/peak_fitting_evaluation/bragg_edge_normalization.py +++ b/notebooks/__code/bragg_edge/peak_fitting_evaluation/bragg_edge_normalization.py @@ -1,29 +1,25 @@ -import random -import os import glob +import logging +import os +import random from pathlib import Path -from IPython.display import HTML -from IPython.display import display + import numpy as np -from plotly.offline import iplot import plotly.graph_objs as go +from IPython.display import HTML, display from ipywidgets import widgets -import logging - -from neutronbraggedge.experiment_handler import * from NeuNorm.normalization import Normalization from NeuNorm.roi import ROI +from neutronbraggedge.experiment_handler import * +from plotly.offline import iplot -from __code import file_handler -from __code.bragg_edge.peak_fitting_evaluation.bragg_edge import BraggEdge as BraggEdgeParent +from __code import file_handler, ipywe from __code.bragg_edge.bragg_edge import Interface +from __code.bragg_edge.peak_fitting_evaluation.bragg_edge import BraggEdge as BraggEdgeParent from __code.file_folder_browser import FileFolderBrowser -from __code import ipywe -from __code._utilities.file import get_full_home_file_name class BraggEdge(BraggEdgeParent): - o_interface = None select_ob_widget = None @@ -33,19 +29,24 @@ def __init__(self, working_dir="./"): def load_data(self, folder_selected): # logging.info(f"Loading data from {folder_selected}") self.o_norm = Normalization() - self.load_files(data_type='sample', folder=folder_selected) + self.load_files(data_type="sample", folder=folder_selected) # define time spectra file - folder = os.path.dirname(self.o_norm.data['sample']['file_name'][0]) - self.list_files = self.o_norm.data['sample']['file_name'] + folder = os.path.dirname(self.o_norm.data["sample"]["file_name"][0]) + self.list_files = self.o_norm.data["sample"]["file_name"] self.data_folder_name = os.path.basename(folder) - spectra_file = glob.glob(os.path.join(folder, '*_Spectra.txt')) + spectra_file = glob.glob(os.path.join(folder, "*_Spectra.txt")) # logging.info(f"> looking for spectra file: {spectra_file}") if spectra_file: # logging.info(f"-> spectra file FOUND!") self.spectra_file = spectra_file[0] - display(HTML(' Spectra File automatically located: ' + \ - self.spectra_file + '')) + display( + HTML( + ' Spectra File automatically located: ' + + self.spectra_file + + "" + ) + ) else: # ask for spectra file @@ -54,16 +55,18 @@ def load_data(self, folder_selected): def select_time_spectra_file(self): self.working_dir = os.path.dirname(self.list_files[0]) - self.time_spectra_ui = ipywe.fileselector.FileSelectorPanel(instruction='Select Time Spectra File ...', - start_dir=self.working_dir, - next=self.save_time_spectra, - filters={'spectra_file': "_Spectra.txt"}, - multiple=False) + self.time_spectra_ui = ipywe.fileselector.FileSelectorPanel( + instruction="Select Time Spectra File ...", + start_dir=self.working_dir, + next=self.save_time_spectra, + filters={"spectra_file": "_Spectra.txt"}, + multiple=False, + ) self.time_spectra_ui.show() - self.cancel_button = widgets.Button(description="or Do Not Select any Time Spectra", - button_style="info", - layout=widgets.Layout(width='100%')) + self.cancel_button = widgets.Button( + description="or Do Not Select any Time Spectra", button_style="info", layout=widgets.Layout(width="100%") + ) display(self.cancel_button) self.cancel_button.on_click(self.cancel_time_spectra_selection) @@ -73,23 +76,23 @@ def save_time_spectra(self, file): self.cancel_button.close() def cancel_time_spectra_selection(self, value): - logging.info(f"User cancel loading time spectra!") + logging.info("User cancel loading time spectra!") self.time_spectra_ui.remove() self.cancel_button.close() display(HTML('NO Spectra File loaded! ')) - def load_files(self, data_type='sample', folder=None): + def load_files(self, data_type="sample", folder=None): self.starting_dir = os.path.dirname(folder) - if data_type == 'sample': + if data_type == "sample": self.data_folder_name = os.path.basename(folder) - list_files = glob.glob(os.path.join(folder, '*.fits')) + list_files = glob.glob(os.path.join(folder, "*.fits")) if list_files == []: - list_files = glob.glob(os.path.join(folder, '*.tif*')) + list_files = glob.glob(os.path.join(folder, "*.tif*")) else: # fits # keep only files of interest - list_files = [file for file in list_files if not "_SummedImg.fits" in file] + list_files = [file for file in list_files if "_SummedImg.fits" not in file] list_files = [file for file in list_files if ".fits" in file] # sort list of files @@ -102,16 +105,23 @@ def load_files(self, data_type='sample', folder=None): o_norm = Normalization() o_norm.load(file=list_files, notebook=True, data_type=data_type) - if data_type == 'sample': + if data_type == "sample": self.o_norm = o_norm - elif data_type == 'ob': - self.o_norm.data['ob'] = o_norm.data['ob'] - - display(HTML('' + str(len(list_files)) + \ - ' files have been loaded as ' + data_type + '')) + elif data_type == "ob": + self.o_norm.data["ob"] = o_norm.data["ob"] + + display( + HTML( + '' + + str(len(list_files)) + + " files have been loaded as " + + data_type + + "" + ) + ) def get_nbr_of_images_to_use_in_preview(self): - nbr_images = len(self.o_norm.data['sample']['data']) + nbr_images = len(self.o_norm.data["sample"]["data"]) init_value = int(nbr_images / 10) if init_value == 0: init_value = 1 @@ -121,57 +131,53 @@ def normalization_settings_widgets(self): # with ob ## button - self.select_ob_widget = widgets.Button(description="Select OB ...", - button_style="success", - layout=widgets.Layout(width="100%")) + self.select_ob_widget = widgets.Button( + description="Select OB ...", button_style="success", layout=widgets.Layout(width="100%") + ) self.select_ob_widget.on_click(self.select_ob_folder) ## space spacer = widgets.HTML(value="
") ## nbr of images to use - nbr_images_to_use_label = widgets.Label("Nbr of images to use in preview", - layout=widgets.Layout(width="20%")) + nbr_images_to_use_label = widgets.Label("Nbr of images to use in preview", layout=widgets.Layout(width="20%")) nbr_of_images_to_use_in_preview = self.get_nbr_of_images_to_use_in_preview() - self.nbr_images_slider_with_ob = widgets.IntSlider(min=2, - max=len(self.list_files), - value=nbr_of_images_to_use_in_preview, - layout=widgets.Layout(width="80%")) + self.nbr_images_slider_with_ob = widgets.IntSlider( + min=2, max=len(self.list_files), value=nbr_of_images_to_use_in_preview, layout=widgets.Layout(width="80%") + ) hbox_1 = widgets.HBox([nbr_images_to_use_label, self.nbr_images_slider_with_ob]) - self.select_roi_widget_with_ob = widgets.Button(description="OPTIONAL: Select Region of interest away from " - "sample " - "to " - "improve normalization", - layout=widgets.Layout(width="100%")) + self.select_roi_widget_with_ob = widgets.Button( + description="OPTIONAL: Select Region of interest away from " "sample " "to " "improve normalization", + layout=widgets.Layout(width="100%"), + ) self.select_roi_widget_with_ob.on_click(self.select_roi_with_ob) - vbox_with_ob = widgets.VBox([self.select_ob_widget, - spacer, - hbox_1, - spacer, - self.select_roi_widget_with_ob, - ]) + vbox_with_ob = widgets.VBox( + [ + self.select_ob_widget, + spacer, + hbox_1, + spacer, + self.select_roi_widget_with_ob, + ] + ) # without ob ## nbr of images to use - self.nbr_images_slider_without_ob = widgets.IntSlider(min=2, - max=len(self.list_files), - value=nbr_of_images_to_use_in_preview, - layout=widgets.Layout(width="80%")) + self.nbr_images_slider_without_ob = widgets.IntSlider( + min=2, max=len(self.list_files), value=nbr_of_images_to_use_in_preview, layout=widgets.Layout(width="80%") + ) hbox_without_ob = widgets.HBox([nbr_images_to_use_label, self.nbr_images_slider_without_ob]) - select_roi_widget_without_ob = widgets.Button(description="MANDATORY: Select region of interest " - "away from " - "sample", - button_style="success", - layout=widgets.Layout(width="100%")) + select_roi_widget_without_ob = widgets.Button( + description="MANDATORY: Select region of interest " "away from " "sample", + button_style="success", + layout=widgets.Layout(width="100%"), + ) select_roi_widget_without_ob.on_click(self.select_roi_without_ob) - vbox_without_ob = widgets.VBox([hbox_without_ob, - spacer, - select_roi_widget_without_ob - ]) + vbox_without_ob = widgets.VBox([hbox_without_ob, spacer, select_roi_widget_without_ob]) self.accordion = widgets.Accordion(children=[vbox_with_ob, vbox_without_ob]) self.accordion.set_title(0, "With OB") @@ -187,9 +193,11 @@ def select_roi_without_ob(self, status): self.select_roi(nbr_data_to_use=nbr_data_to_use) def select_roi(self, nbr_data_to_use=2): - self.o_interface = Interface(data=self.get_image_to_use_for_display(nbr_data_to_use=nbr_data_to_use), - instruction="Select region outside sample!", - next=self.after_selecting_roi) + self.o_interface = Interface( + data=self.get_image_to_use_for_display(nbr_data_to_use=nbr_data_to_use), + instruction="Select region outside sample!", + next=self.after_selecting_roi, + ) self.o_interface.show() def after_selecting_roi(self): @@ -201,58 +209,63 @@ def after_selecting_roi(self): self.select_roi_widget_without_ob.button_style = "" def select_ob_folder(self, status=None): - select_data = ipywe.fileselector.FileSelectorPanel(instruction='Select OB Folder ...', - start_dir=self.starting_dir, - next=self.load_ob, - type='directory', - multiple=False) + select_data = ipywe.fileselector.FileSelectorPanel( + instruction="Select OB Folder ...", + start_dir=self.starting_dir, + next=self.load_ob, + type="directory", + multiple=False, + ) select_data.show() def load_ob(self, folder_selected): - self.load_files(data_type='ob', folder=folder_selected) + self.load_files(data_type="ob", folder=folder_selected) self.check_data_array_sizes() if self.select_ob_widget: self.select_ob_widget.button_style = "" self.select_roi_widget_with_ob.button_style = "success" def check_data_array_sizes(self): - len_ob = len(self.o_norm.data['ob']['file_name']) - len_sample = len(self.o_norm.data['sample']['file_name']) + len_ob = len(self.o_norm.data["ob"]["file_name"]) + len_sample = len(self.o_norm.data["sample"]["file_name"]) if len_ob == len_sample: display(HTML(' Sample and OB have the same size!')) return if len_ob < len_sample: - self.o_norm.data['sample']['data'] = self.o_norm.data['sample']['data'][0:len_ob] - self.o_norm.data['sample']['file_name'] = self.o_norm.data['sample']['file_name'][0:len_ob] + self.o_norm.data["sample"]["data"] = self.o_norm.data["sample"]["data"][0:len_ob] + self.o_norm.data["sample"]["file_name"] = self.o_norm.data["sample"]["file_name"][0:len_ob] display(HTML(' Truncated Sample array to match OB!')) else: - self.o_norm.data['ob']['data'] = self.o_norm.data['ob']['data'][0:len_sample] - self.o_norm.data['ob']['file_name'] = self.o_norm.data['ob']['file_name'][0:len_sample] + self.o_norm.data["ob"]["data"] = self.o_norm.data["ob"]["data"][0:len_sample] + self.o_norm.data["ob"]["file_name"] = self.o_norm.data["ob"]["file_name"][0:len_sample] display(HTML(' Truncated OB array to match Sample!')) def load_time_spectra(self): _tof_handler = TOF(filename=self.spectra_file) - _exp = Experiment(tof=_tof_handler.tof_array, - distance_source_detector_m=float(self.dSD_ui.value), - detector_offset_micros=float(self.detector_offset_ui.value)) + _exp = Experiment( + tof=_tof_handler.tof_array, + distance_source_detector_m=float(self.dSD_ui.value), + detector_offset_micros=float(self.detector_offset_ui.value), + ) - nbr_sample = len(self.o_norm.data['sample']['file_name']) + nbr_sample = len(self.o_norm.data["sample"]["file_name"]) - self.lambda_array = _exp.lambda_array[0: nbr_sample] * 1e10 # to be in Angstroms - self.tof_array = _tof_handler.tof_array[0: nbr_sample] + self.lambda_array = _exp.lambda_array[0:nbr_sample] * 1e10 # to be in Angstroms + self.tof_array = _tof_handler.tof_array[0:nbr_sample] def how_many_data_to_use_to_select_sample_roi(self): - nbr_images = len(self.o_norm.data['sample']['data']) + nbr_images = len(self.o_norm.data["sample"]["data"]) init_value = int(nbr_images / 10) if init_value == 0: init_value = 1 - box1 = widgets.HBox([widgets.Label("Nbr of images to use:", - layout=widgets.Layout(width='15')), - widgets.IntSlider(value=init_value, - max=nbr_images, - min=1)]) + box1 = widgets.HBox( + [ + widgets.Label("Nbr of images to use:", layout=widgets.Layout(width="15")), + widgets.IntSlider(value=init_value, max=nbr_images, min=1), + ] + ) # layout=widgets.Layout(width='50%'))]) box2 = widgets.Label("(The more you select, the longer it will take to display the preview!)") vbox = widgets.VBox([box1, box2]) @@ -260,7 +273,7 @@ def how_many_data_to_use_to_select_sample_roi(self): self.number_of_data_to_use_ui = box1.children[1] def get_image_to_use_for_display(self, nbr_data_to_use=2): - _data = self.o_norm.data['sample']['data'] + _data = self.o_norm.data["sample"]["data"] nbr_images = len(_data) list_of_indexes_to_keep = random.sample(list(range(nbr_images)), nbr_data_to_use) @@ -299,20 +312,17 @@ def normalization_without_ob(self, list_rois): list_o_roi = [] for key in list_rois.keys(): roi = list_rois[key] - _x0 = roi['x0'] - _y0 = roi['y0'] - _x1 = roi['x1'] - _y1 = roi['y1'] + _x0 = roi["x0"] + _y0 = roi["y0"] + _x1 = roi["x1"] + _y1 = roi["y1"] - list_o_roi.append(ROI(x0=_x0, - y0=_y0, - x1=_x1, - y1=_y1)) + list_o_roi.append(ROI(x0=_x0, y0=_y0, x1=_x1, y1=_y1)) logging.info(f"-> Normalization with {len(list_o_roi)} ROIs") self.o_norm.normalization(roi=list_o_roi, use_only_sample=True, notebook=True) display(HTML(' Normalization DONE! ')) - logging.info(f"-> Done!") + logging.info("-> Done!") def normalization_with_ob(self, list_rois): logging.info("Running normalization with OB") @@ -323,73 +333,73 @@ def normalization_with_ob(self, list_rois): list_o_roi = [] for key in list_rois.keys(): roi = list_rois[key] - _x0 = roi['x0'] - _y0 = roi['y0'] - _x1 = roi['x1'] - _y1 = roi['y1'] + _x0 = roi["x0"] + _y0 = roi["y0"] + _x1 = roi["x1"] + _y1 = roi["y1"] - list_o_roi.append(ROI(x0=_x0, - y0=_y0, - x1=_x1, - y1=_y1)) + list_o_roi.append(ROI(x0=_x0, y0=_y0, x1=_x1, y1=_y1)) logging.info(f"-> Normalization with {len(list_o_roi)} ROIs") self.o_norm.normalization(roi=list_o_roi, notebook=True) display(HTML(' Normalization DONE! ')) - logging.info(f"-> Done!") + logging.info("-> Done!") def export_normalized_data(self): - self.o_folder = FileFolderBrowser(working_dir=self.working_dir, - next_function=self.export_normalized_data_step2, - ipts_folder=self.ipts_folder) + self.o_folder = FileFolderBrowser( + working_dir=self.working_dir, next_function=self.export_normalized_data_step2, ipts_folder=self.ipts_folder + ) self.o_folder.select_output_folder_with_new(instruction="Select where to create the normalized data ...") def export_normalized_data_step2(self, output_folder): - logging.info(f"export normalized data") + logging.info("export normalized data") logging.info(f"-> output_folder: {output_folder}") output_folder = os.path.abspath(output_folder) self.o_folder.list_output_folders_ui.shortcut_buttons.close() - normalized_export_folder = str(Path(output_folder) / (self.data_folder_name + '_normalized')) + normalized_export_folder = str(Path(output_folder) / (self.data_folder_name + "_normalized")) file_handler.make_or_reset_folder(normalized_export_folder) self.o_norm.export(folder=normalized_export_folder) - display(HTML(' Created the normalized data in the folder ' + - normalized_export_folder + '')) + display( + HTML( + ' Created the normalized data in the folder ' + + normalized_export_folder + + "" + ) + ) if self.spectra_file: - logging.info(f"-> time spectra copied to output folder!") - file_handler.copy_files_to_folder(list_files=[self.spectra_file], - output_folder=normalized_export_folder) + logging.info("-> time spectra copied to output folder!") + file_handler.copy_files_to_folder(list_files=[self.spectra_file], output_folder=normalized_export_folder) display(HTML(' Copied time spectra file to same folder ')) else: - logging.info(f"->No time spectra copied!") + logging.info("->No time spectra copied!") def calculate_counts_vs_file_index_of_regions_selected(self, list_roi=None): self.list_roi = list_roi data = self.o_norm.get_sample_data() nbr_data = len(data) - box_ui = widgets.HBox([widgets.Label("Calculate Counts vs lambda", - layout=widgets.Layout(width='20%')), - widgets.IntProgress(min=0, - max=nbr_data, - value=0, - layout=widgets.Layout(width='50%'))]) + box_ui = widgets.HBox( + [ + widgets.Label("Calculate Counts vs lambda", layout=widgets.Layout(width="20%")), + widgets.IntProgress(min=0, max=nbr_data, value=0, layout=widgets.Layout(width="50%")), + ] + ) progress_bar = box_ui.children[1] display(box_ui) counts_vs_file_index = [] for _index, _data in enumerate(data): - if len(list_roi) == 0: _array_data = _data else: _array_data = [] for _roi in list_roi.keys(): - x0 = int(list_roi[_roi]['x0']) - y0 = int(list_roi[_roi]['y0']) - x1 = int(list_roi[_roi]['x1']) - y1 = int(list_roi[_roi]['y1']) + x0 = int(list_roi[_roi]["x0"]) + y0 = int(list_roi[_roi]["y0"]) + x1 = int(list_roi[_roi]["x1"]) + y1 = int(list_roi[_roi]["y1"]) _array_data.append(np.nanmean(_data[y0:y1, x0:x1])) @@ -401,21 +411,13 @@ def calculate_counts_vs_file_index_of_regions_selected(self, list_roi=None): box_ui.close() def plot(self): - - trace = go.Scatter( - x=self.lambda_array, - y=self.counts_vs_file_index, - mode='markers') + trace = go.Scatter(x=self.lambda_array, y=self.counts_vs_file_index, mode="markers") layout = go.Layout( - height=500, - title="Average transmission vs TOF (of entire images, or of selected region if any)", - xaxis=dict( - title="Lambda (Angstroms)" - ), - yaxis=dict( - title="Average Transmission" - ), + height=500, + title="Average transmission vs TOF (of entire images, or of selected region if any)", + xaxis=dict(title="Lambda (Angstroms)"), + yaxis=dict(title="Average Transmission"), ) data = [trace] @@ -424,24 +426,22 @@ def plot(self): iplot(figure) def select_output_data_folder(self): - o_folder = FileFolderBrowser(working_dir=self.working_dir, - next_function=self.export_data) + o_folder = FileFolderBrowser(working_dir=self.working_dir, next_function=self.export_data) o_folder.select_output_folder(instruction="Select where to create the ascii file...") - def make_output_file_name(self, output_folder='', input_folder=''): + def make_output_file_name(self, output_folder="", input_folder=""): file_name = os.path.basename(input_folder) + "_counts_vs_lambda_tof.txt" return os.path.join(os.path.abspath(output_folder), file_name) def export_data(self, output_folder): - input_folder = os.path.dirname(self.o_norm.data['sample']['file_name'][0]) - output_file_name = self.make_output_file_name(output_folder=output_folder, - input_folder=input_folder) + input_folder = os.path.dirname(self.o_norm.data["sample"]["file_name"][0]) + output_file_name = self.make_output_file_name(output_folder=output_folder, input_folder=input_folder) lambda_array = self.lambda_array counts_vs_file_index = self.counts_vs_file_index tof_array = self.tof_array - metadata = ["# input folder: {}".format(input_folder)] + metadata = [f"# input folder: {input_folder}"] list_roi = self.list_roi if len(list_roi) == 0: @@ -449,48 +449,53 @@ def export_data(self, output_folder): else: for index, key in enumerate(list_roi.keys()): roi = list_roi[key] - _x0 = roi['x0'] - _y0 = roi['y0'] - _x1 = roi['x1'] - _y1 = roi['y1'] - metadata.append("# ROI {}: x0={}, y0={}, x1={}, y1={}".format(index, - _x0, - _y0, - _x1, - _y1)) + _x0 = roi["x0"] + _y0 = roi["y0"] + _x1 = roi["x1"] + _y1 = roi["y1"] + metadata.append(f"# ROI {index}: x0={_x0}, y0={_y0}, x1={_x1}, y1={_y1}") metadata.append("#") metadata.append("# tof (micros), lambda (Angstroms), Average transmission") data = [] - for _t, _l, _c in zip(tof_array, lambda_array, counts_vs_file_index): - data.append("{}, {}, {}".format(_t, _l, _c)) + for _t, _l, _c in zip(tof_array, lambda_array, counts_vs_file_index, strict=False): + data.append(f"{_t}, {_l}, {_c}") - file_handler.make_ascii_file(metadata=metadata, - data=data, - output_file_name=output_file_name, - dim='1d') + file_handler.make_ascii_file(metadata=metadata, data=data, output_file_name=output_file_name, dim="1d") if os.path.exists(output_file_name): - display(HTML('Ascii file ' + output_file_name + ' has been ' + - 'created ')) + display( + HTML( + 'Ascii file ' + + output_file_name + + " has been " + + "created " + ) + ) else: - display(HTML('Error exporting Ascii file ' + output_file_name + - '')) + display( + HTML( + 'Error exporting Ascii file ' + + output_file_name + + "" + ) + ) def select_output_table_folder(self): - o_folder = FileFolderBrowser(working_dir=self.working_dir, - next_function=self.export_table) + o_folder = FileFolderBrowser(working_dir=self.working_dir, next_function=self.export_table) o_folder.select_output_folder() def export_table(self, output_folder): material = self.handler.material[0] lattice = self.handler.lattice[material] crystal_structure = self.handler.crystal_structure[material] - metadata = ["# material: {}".format(material), - "# crystal structure: {}".format(crystal_structure), - "# lattice: {} Angstroms".format(lattice), - "#", - "# hkl, d(angstroms), BraggEdge"] + metadata = [ + f"# material: {material}", + f"# crystal structure: {crystal_structure}", + f"# lattice: {lattice} Angstroms", + "#", + "# hkl, d(angstroms), BraggEdge", + ] data = [] bragg_edges = self.bragg_edges[material] hkl = self.hkl[material] @@ -498,24 +503,22 @@ def export_table(self, output_folder): _hkl_str = [str(i) for i in hkl[_index]] _hkl = "".join(_hkl_str) _bragg_edges = float(bragg_edges[_index]) - _d = _bragg_edges / 2. - _row = "{}, {}, {}".format(_hkl, _d, _bragg_edges) + _d = _bragg_edges / 2.0 + _row = f"{_hkl}, {_d}, {_bragg_edges}" data.append(_row) - output_file_name = os.path.join(output_folder, 'bragg_edges_of_{}.txt'.format(material)) + output_file_name = os.path.join(output_folder, f"bragg_edges_of_{material}.txt") - file_handler.make_ascii_file(metadata=metadata, - data=data, - dim='1d', - output_file_name=output_file_name) + file_handler.make_ascii_file(metadata=metadata, data=data, dim="1d", output_file_name=output_file_name) - display(HTML('File created : ' + \ - output_file_name + '')) + display(HTML('File created : ' + output_file_name + "")) def select_folder(self, message="", next_function=None): - folder_widget = ipywe.fileselector.FileSelectorPanel(instruction='select {} folder'.format(message), - start_dir=self.working_dir, - next=next_function, - type='directory', - multiple=False) + folder_widget = ipywe.fileselector.FileSelectorPanel( + instruction=f"select {message} folder", + start_dir=self.working_dir, + next=next_function, + type="directory", + multiple=False, + ) folder_widget.show() diff --git a/notebooks/__code/bragg_edge/peak_fitting_evaluation/bragg_edge_peak_fitting.py b/notebooks/__code/bragg_edge/peak_fitting_evaluation/bragg_edge_peak_fitting.py index e34c33e3..897c5279 100755 --- a/notebooks/__code/bragg_edge/peak_fitting_evaluation/bragg_edge_peak_fitting.py +++ b/notebooks/__code/bragg_edge/peak_fitting_evaluation/bragg_edge_peak_fitting.py @@ -1,108 +1,92 @@ import logging -from IPython.display import HTML import os import random -import numpy as np -from IPython.display import display -import pyqtgraph as pg -from qtpy.QtWidgets import QMainWindow -from qtpy.QtGui import QGuiApplication -from qtpy import QtGui from pathlib import Path +import numpy as np +import pyqtgraph as pg +from IPython.display import HTML, display from neutronbraggedge.experiment_handler import * +from qtpy import QtGui +from qtpy.QtGui import QGuiApplication +from qtpy.QtWidgets import QMainWindow -from __code.bragg_edge.peak_fitting_evaluation.bragg_edge_normalization import BraggEdge as BraggEdgeParent -from __code.bragg_edge.bragg_edge_peak_fitting_gui_utility import GuiUtility from __code import load_ui from __code._utilities.array import exclude_y_value_when_error_is_nan -from __code.utilities import find_nearest_index -from __code.table_handler import TableHandler -from __code.bragg_edge.peak_fitting_evaluation.peak_fitting_interface_initialization import Initialization -from __code.bragg_edge.peak_fitting_evaluation.kropff_fitting_job_handler import KropffFittingJobHandler -from __code.bragg_edge.peak_fitting_evaluation.march_dollase_fitting_job_handler import MarchDollaseFittingJobHandler -from __code.bragg_edge.peak_fitting_evaluation.kropff import Kropff -from __code.bragg_edge.peak_fitting_evaluation.march_dollase import MarchDollase +from __code.bragg_edge.bragg_edge_peak_fitting_gui_utility import GuiUtility from __code.bragg_edge.export_handler import ExportHandler from __code.bragg_edge.import_handler import ImportHandler - +from __code.bragg_edge.peak_fitting_evaluation.bragg_edge_normalization import BraggEdge as BraggEdgeParent from __code.bragg_edge.peak_fitting_evaluation.bragg_edge_selection_tab import BraggEdgeSelectionTab from __code.bragg_edge.peak_fitting_evaluation.get import Get, GetInfo +from __code.bragg_edge.peak_fitting_evaluation.kropff import Kropff +from __code.bragg_edge.peak_fitting_evaluation.kropff_fitting_job_handler import KropffFittingJobHandler +from __code.bragg_edge.peak_fitting_evaluation.march_dollase import MarchDollase +from __code.bragg_edge.peak_fitting_evaluation.march_dollase_fitting_job_handler import MarchDollaseFittingJobHandler +from __code.bragg_edge.peak_fitting_evaluation.peak_fitting_interface_initialization import Initialization from __code.bragg_edge.peak_fitting_initialization import PeakFittingInitialization +from __code.table_handler import TableHandler +from __code.utilities import find_nearest_index from . import DEBUGGING class BraggEdge(BraggEdgeParent): - def load_ob(self, folder_selected): - self.load_files(data_type='ob', folder=folder_selected) + self.load_files(data_type="ob", folder=folder_selected) self.check_data_array_sizes() self.divide_normalized_data_by_OB_white_beam() def divide_normalized_data_by_OB_white_beam(self): - norm_data = self.o_norm.data['ob']['data'] + norm_data = self.o_norm.data["ob"]["data"] self.white_beam_ob = np.mean(norm_data, 0) class Interface(QMainWindow): - - fitting_parameters_init = {'kropff': {'a0': 1, - 'b0': 1, - 'ahkl': 1, - 'bhkl': 1, - 'ldahkl': 1e-8, - 'tau': 1, - 'sigma': [1e-7, 1e-6, 1e-5]}} + fitting_parameters_init = { + "kropff": {"a0": 1, "b0": 1, "ahkl": 1, "bhkl": 1, "ldahkl": 1e-8, "tau": 1, "sigma": [1e-7, 1e-6, 1e-5]} + } bragg_edge_range = [5, 20] # relative index of the bragg peak only part (kropff and March-Dollase) - bragg_peak_selection_range = [np.NaN, np.NaN] + bragg_peak_selection_range = [np.nan, np.nan] selection_roi_rgb = (62, 13, 244) - roi_settings = {'color': QtGui.QColor(selection_roi_rgb[0], - selection_roi_rgb[1], - selection_roi_rgb[2]), - 'width': 0.01, - 'position': [10, 10]} + roi_settings = { + "color": QtGui.QColor(selection_roi_rgb[0], selection_roi_rgb[1], selection_roi_rgb[2]), + "width": 0.01, + "position": [10, 10], + } shrinking_roi_rgb = (13, 214, 244) - shrinking_roi_settings = {'color': QtGui.QColor(shrinking_roi_rgb[0], - shrinking_roi_rgb[1], - shrinking_roi_rgb[2]), - 'width': 0.01, - 'dashes_pattern': [4, 2]} + shrinking_roi_settings = { + "color": QtGui.QColor(shrinking_roi_rgb[0], shrinking_roi_rgb[1], shrinking_roi_rgb[2]), + "width": 0.01, + "dashes_pattern": [4, 2], + } fit_rgb = (0, 255, 0) shrinking_roi_id = None - shrinking_roi = {'x0': None, - 'y0': None, - 'width': None, - 'height': None} - previous_roi_selection = {'width': None, - 'height': None} - image_size = {'width': None, - 'height': None} + shrinking_roi = {"x0": None, "y0": None, "width": None, "height": None} + previous_roi_selection = {"width": None, "height": None} + image_size = {"width": None, "height": None} roi_id = None - xaxis_label = {'index': "File index", - 'tof': u"TOF (\u00B5s)", - 'lambda': u"\u03BB (\u212B)"} - fitting_rois = {'kropff': {'step1': None, - 'step2': None, - 'step3': None, - }, - } - - is_file_imported = False # True only when the import button has been used + xaxis_label = {"index": "File index", "tof": "TOF (\u00b5s)", "lambda": "\u03bb (\u212b)"} + fitting_rois = { + "kropff": { + "step1": None, + "step2": None, + "step3": None, + }, + } + + is_file_imported = False # True only when the import button has been used bragg_edge_range_ui = None - kropff_fitting_range = {'high': [None, None], - 'low': [None, None], - 'bragg_peak': [None, None]} + kropff_fitting_range = {"high": [None, None], "low": [None, None], "bragg_peak": [None, None]} fitting_peak_ui = None # vertical line in fitting view (tab 2) - fitting_procedure_started = {'march-dollase': False, - 'kropff': False} + fitting_procedure_started = {"march-dollase": False, "kropff": False} # x0, y0, x1, y1, width, height roi_dimension_from_config_file = [None, None, None, None, None, None] @@ -164,21 +148,36 @@ class Interface(QMainWindow): # 1: {'width': None, 'height': None}, # } - march_dollase_fitting_peak_ui = None # ROI of march dollase peak region + march_dollase_fitting_peak_ui = None # ROI of march dollase peak region march_dollase_fitting_history_table = None - march_dollase_fitting_initial_parameters = {'d_spacing': np.NaN, - 'sigma': 3.5, - 'alpha': 4.5, - 'a1': "pixels ROI dependent", - 'a2': "pixels ROI dependent", - 'a5': "pixels ROI dependent", - 'a6': "pixels ROI dependent"} + march_dollase_fitting_initial_parameters = { + "d_spacing": np.nan, + "sigma": 3.5, + "alpha": 4.5, + "a1": "pixels ROI dependent", + "a2": "pixels ROI dependent", + "a5": "pixels ROI dependent", + "a6": "pixels ROI dependent", + } march_dollase_fitting_history_table_default_new_row = None march_dollase_fitting_range_selected = None - march_dollase_list_columns = ['d_spacing', 'sigma', 'alpha', 'a1', 'a2', 'a5', 'a6', - 'd_spacing_error', 'sigma_error', 'alpha_error', - 'a1_error', 'a2_error', 'a5_error', 'a6_error'] + march_dollase_list_columns = [ + "d_spacing", + "sigma", + "alpha", + "a1", + "a2", + "a5", + "a6", + "d_spacing_error", + "sigma_error", + "alpha_error", + "a1_error", + "a2_error", + "a5_error", + "a6_error", + ] # matplotlib canvas kropff_high_plot = None @@ -187,13 +186,14 @@ class Interface(QMainWindow): march_dollase_plot = None def __init__(self, parent=None, working_dir="", o_bragg=None, spectra_file=None): - o_get = GetInfo(parent=self) log_file_name = o_get.log_file_name() - logging.basicConfig(filename=log_file_name, - filemode='w', - format='[%(levelname)s] - %(asctime)s - %(message)s', - level=logging.INFO) # logging.INFO, logging.DEBUG + logging.basicConfig( + filename=log_file_name, + filemode="w", + format="[%(levelname)s] - %(asctime)s - %(message)s", + level=logging.INFO, + ) # logging.INFO, logging.DEBUG logging.info("*** Starting new session ***") if o_bragg: @@ -205,7 +205,7 @@ def __init__(self, parent=None, working_dir="", o_bragg=None, spectra_file=None) self.o_bragg = o_bragg show_selection_tab = True enabled_export_button = False - self.index_array = np.arange(len(self.o_norm.data['sample']['file_name'])) + self.index_array = np.arange(len(self.o_norm.data["sample"]["file_name"])) else: self.working_dir = working_dir show_selection_tab = False @@ -215,11 +215,15 @@ def __init__(self, parent=None, working_dir="", o_bragg=None, spectra_file=None) self.spectra_file = spectra_file logging.info(f"spectra file: {self.spectra_file}") - display(HTML('Check UI that popped up \ - (maybe hidden behind this browser!)')) + display( + HTML( + 'Check UI that popped up \ + (maybe hidden behind this browser!)' + ) + ) super(Interface, self).__init__(parent) - ui_full_path = Path(__file__).parent.parent.parent.parent / 'ui' / 'ui_bragg_edge_peak_fitting.ui' + ui_full_path = Path(__file__).parent.parent.parent.parent / "ui" / "ui_bragg_edge_peak_fitting.ui" self.ui = load_ui(ui_full_path, baseinstance=self) self.setWindowTitle("Peak Fitting Tool") @@ -231,7 +235,7 @@ def __init__(self, parent=None, working_dir="", o_bragg=None, spectra_file=None) self.load_time_spectra() self.roi_moved() else: - o_init = Initialization(parent=self, tab='2') + o_init = Initialization(parent=self, tab="2") self.disable_left_part_of_selection_tab() self.ui.tabWidget.setEnabled(False) @@ -244,11 +248,11 @@ def __init__(self, parent=None, working_dir="", o_bragg=None, spectra_file=None) def retrieve_working_dir(self): o_norm = self.o_norm - file_path = o_norm.data['sample']['file_name'][0] + file_path = o_norm.data["sample"]["file_name"][0] return os.path.dirname(file_path) def load_time_spectra(self): - logging.info(f"loading spectra file.") + logging.info("loading spectra file.") self.tof_handler = TOF(filename=self.spectra_file) self.tof_array_s = self.tof_handler.tof_array self.update_time_spectra() @@ -270,18 +274,20 @@ def update_time_spectra(self): self.ui.statusbar.setStyleSheet("color: red") return - _exp = Experiment(tof=self.tof_array_s, - distance_source_detector_m=distance_source_detector_m, - detector_offset_micros=detector_offset_micros) + _exp = Experiment( + tof=self.tof_array_s, + distance_source_detector_m=distance_source_detector_m, + detector_offset_micros=detector_offset_micros, + ) self.lambda_array = _exp.lambda_array * 1e10 # to be in Angstroms def get_live_image(self): if DEBUGGING: - final_array = self.o_norm.data['sample']['data'] + final_array = self.o_norm.data["sample"]["data"] else: nbr_data_to_use = int(self.number_of_data_to_use_ui.value) - _data = self.o_norm.data['sample']['data'] + _data = self.o_norm.data["sample"]["data"] nbr_images = len(_data) list_of_indexes_to_keep = random.sample(list(range(nbr_images)), nbr_data_to_use) @@ -303,21 +309,21 @@ def roi_moved(self): def new_dimensions_within_error_range(self): """this method is used to check if the ROI sizes changed. We need an error uncertainties as sometimes the region varies by + or - 1 pixel when moving it around""" - error = 1 # # of pixel + error = 1 # # of pixel roi_id = self.roi_id - region = roi_id.getArraySlice(self.final_image, - self.ui.image_view.imageItem) + region = roi_id.getArraySlice(self.final_image, self.ui.image_view.imageItem) x0 = region[0][0].start x1 = region[0][0].stop y0 = region[0][1].start y1 = region[0][1].stop - new_width = x1-x0-1 - new_height = y1-y0-1 + new_width = x1 - x0 - 1 + new_height = y1 - y0 - 1 - if ((np.abs(new_width - int(self.ui.roi_width.text())) <= error) and - (np.abs(new_height) - int(self.ui.roi_height.text())) <= error): + if (np.abs(new_width - int(self.ui.roi_width.text())) <= error) and ( + np.abs(new_height) - int(self.ui.roi_height.text()) + ) <= error: return True return False @@ -333,19 +339,19 @@ def bragg_edge_range_changed(self): self.bragg_edge_range = [left_index, right_index] def reset_profile_of_bin_size_slider(self): - max_value = np.min([int(str(self.ui.profile_of_bin_size_width.text())), - int(str(self.ui.profile_of_bin_size_height.text()))]) + max_value = np.min( + [int(str(self.ui.profile_of_bin_size_width.text())), int(str(self.ui.profile_of_bin_size_height.text()))] + ) self.ui.profile_of_bin_size_slider.setMaximum(max_value) self.ui.profile_of_bin_size_slider.setValue(max_value) def selection_roi_slider_changed(self, new_value): if self.ui.square_roi_radiobutton.isChecked(): - mode = 'square' + mode = "square" else: - mode = 'free' + mode = "free" o_selection = BraggEdgeSelectionTab(parent=self) - o_selection.update_selection(new_value=new_value, - mode=mode) + o_selection.update_selection(new_value=new_value, mode=mode) def update_profile_of_bin_size_infos(self): _width = int(self.ui.roi_width.text()) @@ -374,25 +380,23 @@ def update_dict_profile_to_fit(self): o_selection = BraggEdgeSelectionTab(parent=self) [x0, y0, x1, y1] = o_selection.get_shrinking_roi_dimension() o_get = Get(parent=self) - profile = o_get.profile_of_roi(x0=x0, y0=y0, - x1=x1, y1=y1) + profile = o_get.profile_of_roi(x0=x0, y0=y0, x1=x1, y1=y1) - yaxis = profile[left_range: right_range] + yaxis = profile[left_range:right_range] all_x_axis = o_get.all_x_axis() - index_array = all_x_axis['index'][0] - tof_array = all_x_axis['tof'][0] - lambda_array = all_x_axis['lambda'][0] - - index_selected = index_array[left_range: right_range] - tof_selected = tof_array[left_range: right_range] - lambda_selected = lambda_array[left_range: right_range] - - profile_to_fit = {'yaxis': yaxis, - 'xaxis': {'index': index_selected, - 'tof': tof_selected, - 'lambda': lambda_selected}, - } + index_array = all_x_axis["index"][0] + tof_array = all_x_axis["tof"][0] + lambda_array = all_x_axis["lambda"][0] + + index_selected = index_array[left_range:right_range] + tof_selected = tof_array[left_range:right_range] + lambda_selected = lambda_array[left_range:right_range] + + profile_to_fit = { + "yaxis": yaxis, + "xaxis": {"index": index_selected, "tof": tof_selected, "lambda": lambda_selected}, + } self.dict_profile_to_fit = profile_to_fit def fit_that_selection_pushed_by_program(self, initialize_region=True): @@ -405,9 +409,9 @@ def fit_that_selection_pushed_by_program(self, initialize_region=True): o_init = PeakFittingInitialization(parent=self) fitting_input_dictionary = o_init.fitting_input_dictionary(nbr_rois=len(dict_regions)) - o_init.set_top_keys_values(fitting_input_dictionary, - {'xaxis': x_axis, - 'bragg_edge_range': self.bragg_edge_range}) + o_init.set_top_keys_values( + fitting_input_dictionary, {"xaxis": x_axis, "bragg_edge_range": self.bragg_edge_range} + ) self.append_dict_regions_to_fitting_input_dictionary(dict_regions, fitting_input_dictionary) # fitting_input_dictionary['xaxis'] = x_axis @@ -424,7 +428,7 @@ def fit_that_selection_pushed_by_program(self, initialize_region=True): if initialize_region: self.initialize_default_peak_regions() else: - if self.fitting_procedure_started['kropff']: + if self.fitting_procedure_started["kropff"]: o_kropff.fill_table_with_fitting_information() o_march.fill_tables_with_fitting_information() @@ -440,7 +444,7 @@ def append_dict_regions_to_fitting_input_dictionary(self, dict_regions, fitting_ for _row in dict_regions.keys(): _entry = dict_regions[_row] for _key in _entry.keys(): - fitting_input_dictionary['rois'][_row][_key] = _entry[_key] + fitting_input_dictionary["rois"][_row][_key] = _entry[_key] def fit_that_selection_pushed(self): """this will create the fitting_input_dictionary and initialize the table""" @@ -455,10 +459,10 @@ def initialize_default_peak_regions(self): logging.info("initialize_default_peak_region") [left_range, right_range] = self.bragg_edge_range - xaxis_dict = self.fitting_input_dictionary['xaxis'] - xaxis_index, _ = xaxis_dict['index'] + xaxis_dict = self.fitting_input_dictionary["xaxis"] + xaxis_index, _ = xaxis_dict["index"] [left_xaxis_index, right_xaxis_index] = self.bragg_edge_range - xaxis = xaxis_index[left_xaxis_index: right_xaxis_index] + xaxis = xaxis_index[left_xaxis_index:right_xaxis_index] left_index = find_nearest_index(array=xaxis, value=left_range) right_index = find_nearest_index(array=xaxis, value=right_range) @@ -471,8 +475,8 @@ def initialize_default_peak_regions(self): def profile_of_bin_size_slider_changed_after_import(self, new_value): dict_rois_imported = self.dict_rois_imported - new_width = dict_rois_imported[new_value]['width'] - new_height = dict_rois_imported[new_value]['height'] + new_width = dict_rois_imported[new_value]["width"] + new_height = dict_rois_imported[new_value]["height"] self.ui.profile_of_bin_size_height.setText(new_height) self.ui.profile_of_bin_size_width.setText(new_width) @@ -480,9 +484,9 @@ def profile_of_bin_size_slider_changed_after_import(self, new_value): o_selection.update_selection_plot() self.update_vertical_line_in_profile_plot() - self.update_kropff_fit_table_graph(fit_region='high') - self.update_kropff_fit_table_graph(fit_region='low') - self.update_kropff_fit_table_graph(fit_region='bragg_peak') + self.update_kropff_fit_table_graph(fit_region="high") + self.update_kropff_fit_table_graph(fit_region="low") + self.update_kropff_fit_table_graph(fit_region="bragg_peak") def profile_of_bin_size_slider_changed(self, new_value): o_selection = BraggEdgeSelectionTab(parent=self) @@ -495,15 +499,13 @@ def update_roi_defined_by_profile_of_bin_size_slider(self): def add_profile_to_dict_of_all_regions(self, dict_regions=None): for _key in dict_regions.keys(): current_region = dict_regions[_key] - x0 = current_region['x0'] - y0 = current_region['y0'] - width = current_region['width'] - height = current_region['height'] + x0 = current_region["x0"] + y0 = current_region["y0"] + width = current_region["width"] + height = current_region["height"] o_get = Get(parent=self) - profile = o_get.profile_of_roi(x0=x0, y0=y0, - x1=x0 + width, - y1=y0 + height) - current_region['profile'] = profile + profile = o_get.profile_of_roi(x0=x0, y0=y0, x1=x0 + width, y1=y0 + height) + current_region["profile"] = profile def select_first_row_of_all_fitting_table(self): self.ui.high_lda_tableWidget.selectRow(0) @@ -530,11 +532,11 @@ def update_fitting_plot(self): o_gui = GuiUtility(parent=self) algorithm_tab_selected = o_gui.get_tab_selected(tab_ui=self.ui.tab_algorithm) - if algorithm_tab_selected == 'Kropff': + if algorithm_tab_selected == "Kropff": o_kropff = Kropff(parent=self) o_kropff.update_fitting_plot() - elif algorithm_tab_selected == 'March-Dollase': + elif algorithm_tab_selected == "March-Dollase": o_march = MarchDollase(parent=self) o_march.update_fitting_plot() @@ -542,9 +544,9 @@ def fitting_range_changed(self): o_gui = GuiUtility(parent=self) algorithm_tab_selected = o_gui.get_tab_selected(tab_ui=self.ui.tab_algorithm) - if algorithm_tab_selected == 'Kropff': + if algorithm_tab_selected == "Kropff": self.kropff_fitting_range_changed() - elif algorithm_tab_selected == 'March-Dollase': + elif algorithm_tab_selected == "March-Dollase": self.march_dollase_fitting_range_changed() def kropff_fitting_range_changed(self): @@ -554,13 +556,13 @@ def kropff_fitting_range_changed(self): return [left_range, right_range] = list(self.fitting_peak_ui.getRegion()) - xaxis_dict = self.fitting_input_dictionary['xaxis'] + xaxis_dict = self.fitting_input_dictionary["xaxis"] o_get = Get(parent=self) x_axis_selected = o_get.x_axis_checked() xaxis_index, _ = xaxis_dict[x_axis_selected] [left_xaxis_index, right_xaxis_index] = self.bragg_edge_range - xaxis = xaxis_index[left_xaxis_index: right_xaxis_index] + xaxis = xaxis_index[left_xaxis_index:right_xaxis_index] left_index = find_nearest_index(array=xaxis, value=left_range) right_index = find_nearest_index(array=xaxis, value=right_range) @@ -569,9 +571,9 @@ def kropff_fitting_range_changed(self): global_left_index = 0 # for debugging global_right_index = find_nearest_index(array=xaxis, value=global_right_range) - self.kropff_fitting_range['high'] = [right_index, global_right_index] - self.kropff_fitting_range['low'] = [global_left_index, left_index] - self.kropff_fitting_range['bragg_peak'] = [left_index, right_index] + self.kropff_fitting_range["high"] = [right_index, global_right_index] + self.kropff_fitting_range["low"] = [global_left_index, left_index] + self.kropff_fitting_range["bragg_peak"] = [left_index, right_index] self.bragg_peak_selection_range = [left_index, right_index] o_kropff = Kropff(parent=self) @@ -593,16 +595,13 @@ def update_vertical_line_in_profile_plot(self): o_get = Get(parent=self) x_axis, x_axis_label = o_get.x_axis() - bragg_edge_range = [x_axis[self.bragg_edge_range[0]], - x_axis[self.bragg_edge_range[1]]] + bragg_edge_range = [x_axis[self.bragg_edge_range[0]], x_axis[self.bragg_edge_range[1]]] if self.bragg_edge_range_ui: self.ui.profile.removeItem(self.bragg_edge_range_ui) - self.bragg_edge_range_ui = pg.LinearRegionItem(values=bragg_edge_range, - orientation=None, - brush=None, - movable=True, - bounds=None) + self.bragg_edge_range_ui = pg.LinearRegionItem( + values=bragg_edge_range, orientation=None, brush=None, movable=True, bounds=None + ) self.bragg_edge_range_ui.sigRegionChanged.connect(self.bragg_edge_range_changed) self.bragg_edge_range_ui.setZValue(-10) self.ui.profile.addItem(self.bragg_edge_range_ui) @@ -626,15 +625,17 @@ def full_reset_of_ui(self): o_table.remove_all_rows() def block_table_ui(self, flag): - list_ui = [self.ui.high_lda_tableWidget, - self.ui.low_lda_tableWidget, - self.ui.bragg_edge_tableWidget, - self.ui.march_dollase_result_table] + list_ui = [ + self.ui.high_lda_tableWidget, + self.ui.low_lda_tableWidget, + self.ui.bragg_edge_tableWidget, + self.ui.march_dollase_result_table, + ] for _ui in list_ui: _ui.blockSignals(flag) def is_fit_infos_loaded(self): - if 'fit_infos' in self.fitting_input_dictionary.keys(): + if "fit_infos" in self.fitting_input_dictionary.keys(): return True return False @@ -650,18 +651,16 @@ def export_button_clicked(self): def roi_radiobuttons_changed(self): if self.ui.square_roi_radiobutton.isChecked(): slider_visible = True - new_width = np.min([int(str(self.ui.roi_width.text())), - int(str(self.ui.roi_height.text()))]) - mode = 'square' + new_width = np.min([int(str(self.ui.roi_width.text())), int(str(self.ui.roi_height.text()))]) + mode = "square" else: slider_visible = False new_width = int(str(self.ui.roi_width.text())) self.selection_roi_slider_changed(new_width) - mode = 'free' + mode = "free" o_selection = BraggEdgeSelectionTab(parent=self) - o_selection.update_selection(new_value=new_width, - mode=mode) + o_selection.update_selection(new_value=new_width, mode=mode) self.ui.roi_size_slider.setVisible(slider_visible) @@ -690,36 +689,36 @@ def fit_kropff_button_pushed(self): self.ui.statusbar.setStyleSheet("color: blue") self.ui.statusbar.showMessage("Fitting Done!", 1000) # 10s - self.fitting_procedure_started['kropff'] = True + self.fitting_procedure_started["kropff"] = True def kropff_fit_high_lambda_region_clicked(self): - self.switch_fitting_axis_to('lambda') + self.switch_fitting_axis_to("lambda") o_fit = KropffFittingJobHandler(parent=self) - o_fit.prepare(kropff_tooldbox='high') + o_fit.prepare(kropff_tooldbox="high") o_fit.run_kropff_high_lambda(update_table_ui=True) self.update_fitting_plot() - self.update_kropff_fit_table_graph(fit_region='high') + self.update_kropff_fit_table_graph(fit_region="high") def kropff_fit_low_lambda_region_clicked(self): - self.switch_fitting_axis_to('lambda') + self.switch_fitting_axis_to("lambda") o_fit = KropffFittingJobHandler(parent=self) - o_fit.prepare(kropff_tooldbox='low') + o_fit.prepare(kropff_tooldbox="low") o_fit.run_kropff_low_lambda(update_table_ui=True) self.update_fitting_plot() - self.update_kropff_fit_table_graph(fit_region='low') + self.update_kropff_fit_table_graph(fit_region="low") def kropff_fit_bragg_peak_region_clicked(self): self.kropff_fit_bragg_peak_region_of_selected_rows() def kropff_fit_bragg_peak_region_of_selected_rows(self, list_row_to_fit=None): - self.switch_fitting_axis_to('lambda') + self.switch_fitting_axis_to("lambda") o_fit = KropffFittingJobHandler(parent=self) - o_fit.prepare(kropff_tooldbox='bragg_peak') + o_fit.prepare(kropff_tooldbox="bragg_peak") o_fit.run_bragg_peak(update_table_ui=True, list_row_to_fit=list_row_to_fit) self.update_fitting_plot() - self.update_kropff_fit_table_graph(fit_region='bragg_peak') + self.update_kropff_fit_table_graph(fit_region="bragg_peak") - def update_kropff_fit_table_graph(self, fit_region='high'): + def update_kropff_fit_table_graph(self, fit_region="high"): """ update the plot of the fit parameters selected :param fit_region: 'high', 'low' or 'bragg_peak' @@ -729,25 +728,26 @@ def update_kropff_fit_table_graph(self, fit_region='high'): parameter_array = [] parameter_error_array = [] fitting_input_dictionary = self.fitting_input_dictionary - for _index in fitting_input_dictionary['rois'].keys(): - _parameter = fitting_input_dictionary['rois'][_index]['fitting']['kropff'][fit_region][fit_parameter_selected] - _error = fitting_input_dictionary['rois'][_index]['fitting']['kropff'][fit_region]["{}_error".format(fit_parameter_selected)] + for _index in fitting_input_dictionary["rois"].keys(): + _parameter = fitting_input_dictionary["rois"][_index]["fitting"]["kropff"][fit_region][ + fit_parameter_selected + ] + _error = fitting_input_dictionary["rois"][_index]["fitting"]["kropff"][fit_region][ + f"{fit_parameter_selected}_error" + ] parameter_array.append(_parameter) parameter_error_array.append(_error) plot_ui = o_gui.get_kropff_fit_graph_ui(fit_region=fit_region) x_array = np.arange(len(parameter_array)) - cleaned_parameter_array, cleaned_parameter_error_array = \ - exclude_y_value_when_error_is_nan(parameter_array, - parameter_error_array) + cleaned_parameter_array, cleaned_parameter_error_array = exclude_y_value_when_error_is_nan( + parameter_array, parameter_error_array + ) plot_ui.axes.cla() - if fit_region == 'bragg_peak': + if fit_region == "bragg_peak": plot_ui.axes.set_yscale("log") - plot_ui.axes.errorbar(x_array, - cleaned_parameter_array, - cleaned_parameter_error_array, - marker='s') + plot_ui.axes.errorbar(x_array, cleaned_parameter_array, cleaned_parameter_error_array, marker="s") plot_ui.axes.set_xlabel("Row # (see Table tab)") plot_ui.draw() @@ -758,23 +758,23 @@ def kropff_bragg_peak_selection_mode_changed(self): self.ui.bragg_edge_tableWidget.setSelectionMode(2) self.update_fitting_plot() - def switch_fitting_axis_to(self, button_name='tof'): - if button_name == 'tof': + def switch_fitting_axis_to(self, button_name="tof"): + if button_name == "tof": self.ui.fitting_tof_radiobutton.setChecked(True) - elif button_name == 'lambda': + elif button_name == "lambda": self.ui.fitting_lambda_radiobutton.setChecked(True) else: self.ui.fitting_index_radiobutton.setChecked(True) self.fitting_axis_changed() def update_kropff_high_plot(self): - self.update_kropff_fit_table_graph(fit_region='high') + self.update_kropff_fit_table_graph(fit_region="high") def update_kropff_low_plot(self): - self.update_kropff_fit_table_graph(fit_region='low') + self.update_kropff_fit_table_graph(fit_region="low") def update_kropff_bragg_peak_plot(self): - self.update_kropff_fit_table_graph(fit_region='bragg_peak') + self.update_kropff_fit_table_graph(fit_region="bragg_peak") def kropff_bragg_peak_right_click(self, position): o_kropff = Kropff(parent=self) @@ -790,7 +790,7 @@ def march_dollase_table_state_changed(self, state=None, row=None, column=None): _textedit.setVisible(not state) elif column == 0: _label = _widget - _label.setText("{:0.6f}".format(float(o_march.get_initial_parameter_value(column=column)))) + _label.setText(f"{float(o_march.get_initial_parameter_value(column=column)):0.6f}") _label.setVisible(not state) else: _label = _widget diff --git a/notebooks/__code/bragg_edge/peak_fitting_evaluation/bragg_edge_selection_tab.py b/notebooks/__code/bragg_edge/peak_fitting_evaluation/bragg_edge_selection_tab.py index aaac9f7a..8c7ce58c 100755 --- a/notebooks/__code/bragg_edge/peak_fitting_evaluation/bragg_edge_selection_tab.py +++ b/notebooks/__code/bragg_edge/peak_fitting_evaluation/bragg_edge_selection_tab.py @@ -1,25 +1,23 @@ +from collections import OrderedDict + import numpy as np import pyqtgraph as pg from qtpy import QtGui -from collections import OrderedDict from __code._utilities.array import check_size from __code.bragg_edge.get import Get class BraggEdgeSelectionTab: - def __init__(self, parent=None): self.parent = parent def update_all_size_widgets_infos(self): - if self.parent.ui.square_roi_radiobutton.isChecked(): return roi_id = self.parent.roi_id - region = roi_id.getArraySlice(self.parent.final_image, - self.parent.ui.image_view.imageItem) + region = roi_id.getArraySlice(self.parent.final_image, self.parent.ui.image_view.imageItem) x0 = region[0][0].start x1 = region[0][0].stop y0 = region[0][1].start @@ -43,10 +41,12 @@ def update_all_size_widgets_infos(self): def get_shrinking_roi_dimension(self): coordinates = self.get_coordinates_of_new_inside_selection_box() - return [coordinates['x0'], - coordinates['y0'], - coordinates['x0'] + coordinates['width'], - coordinates['y0'] + coordinates['height']] + return [ + coordinates["x0"], + coordinates["y0"], + coordinates["x0"] + coordinates["width"], + coordinates["y0"] + coordinates["height"], + ] def get_coordinates_of_new_inside_selection_box(self): # get width and height defined in fitting labels (top right) @@ -67,12 +67,16 @@ def get_coordinates_of_new_inside_selection_box(self): new_x0 = x0 + int(delta_width / 2) new_y0 = y0 + int(delta_height / 2) - return {'x0' : new_x0, 'y0': new_y0, - 'x1' : new_x0 + width_requested + 1, 'y1': new_y0 + height_requested + 1, - 'width': width_requested, 'height': height_requested} + return { + "x0": new_x0, + "y0": new_y0, + "x1": new_x0 + width_requested + 1, + "y1": new_y0 + height_requested + 1, + "width": width_requested, + "height": height_requested, + } def update_selection_profile_plot(self): - if self.parent.is_file_imported: self.update_selection_plot() self.parent.update_vertical_line_in_profile_plot() @@ -85,47 +89,53 @@ def update_selection_profile_plot(self): # large selection region [x0, y0, x1, y1, _, _] = o_get.selection_roi_dimension() profile = o_get.profile_of_roi(x0, y0, x1, y1) - x_axis, y_axis = check_size(x_axis=x_axis, - y_axis=profile) - self.parent.ui.profile.plot(x_axis, y_axis, pen=(self.parent.selection_roi_rgb[0], - self.parent.selection_roi_rgb[1], - self.parent.selection_roi_rgb[2])) + x_axis, y_axis = check_size(x_axis=x_axis, y_axis=profile) + self.parent.ui.profile.plot( + x_axis, + y_axis, + pen=( + self.parent.selection_roi_rgb[0], + self.parent.selection_roi_rgb[1], + self.parent.selection_roi_rgb[2], + ), + ) # shrinkable region shrinking_roi = self.get_coordinates_of_new_inside_selection_box() - x0 = shrinking_roi['x0'] - y0 = shrinking_roi['y0'] - x1 = shrinking_roi['x1'] - y1 = shrinking_roi['y1'] + x0 = shrinking_roi["x0"] + y0 = shrinking_roi["y0"] + x1 = shrinking_roi["x1"] + y1 = shrinking_roi["y1"] profile = o_get.profile_of_roi(x0, y0, x1, y1) - x_axis, y_axis = check_size(x_axis=x_axis, - y_axis=profile) - self.parent.ui.profile.plot(x_axis, y_axis, pen=(self.parent.shrinking_roi_rgb[0], - self.parent.shrinking_roi_rgb[1], - self.parent.shrinking_roi_rgb[2])) + x_axis, y_axis = check_size(x_axis=x_axis, y_axis=profile) + self.parent.ui.profile.plot( + x_axis, + y_axis, + pen=( + self.parent.shrinking_roi_rgb[0], + self.parent.shrinking_roi_rgb[1], + self.parent.shrinking_roi_rgb[2], + ), + ) self.parent.ui.profile.setLabel("bottom", x_axis_label) - self.parent.ui.profile.setLabel("left", 'Mean transmission') + self.parent.ui.profile.setLabel("left", "Mean transmission") # vertical line showing peak to fit - bragg_edge_range = [x_axis[self.parent.bragg_edge_range[0]], - x_axis[self.parent.bragg_edge_range[1]]] - - self.parent.bragg_edge_range_ui = pg.LinearRegionItem(values=bragg_edge_range, - orientation='vertical', - brush=None, - movable=True, - bounds=None) + bragg_edge_range = [x_axis[self.parent.bragg_edge_range[0]], x_axis[self.parent.bragg_edge_range[1]]] + + self.parent.bragg_edge_range_ui = pg.LinearRegionItem( + values=bragg_edge_range, orientation="vertical", brush=None, movable=True, bounds=None + ) self.parent.bragg_edge_range_ui.sigRegionChanged.connect(self.parent.bragg_edge_range_changed) self.parent.bragg_edge_range_ui.setZValue(-10) self.parent.ui.profile.addItem(self.parent.bragg_edge_range_ui) - def update_selection(self, new_value=None, mode='square'): + def update_selection(self, new_value=None, mode="square"): if self.parent.roi_id is None: return try: - region = self.parent.roi_id.getArraySlice(self.parent.final_image, - self.parent.ui.image_view.imageItem) + region = self.parent.roi_id.getArraySlice(self.parent.final_image, self.parent.ui.image_view.imageItem) except TypeError: return @@ -137,17 +147,14 @@ def update_selection(self, new_value=None, mode='square'): self.parent.ui.image_view.removeItem(self.parent.roi_id) _pen = QtGui.QPen() - _pen.setColor(self.parent.roi_settings['color']) - _pen.setWidthF(self.parent.roi_settings['width']) - self.parent.roi_id = pg.ROI([x0, y0], - [new_value, new_value], - pen=_pen, - scaleSnap=True) + _pen.setColor(self.parent.roi_settings["color"]) + _pen.setWidthF(self.parent.roi_settings["width"]) + self.parent.roi_id = pg.ROI([x0, y0], [new_value, new_value], pen=_pen, scaleSnap=True) self.parent.ui.image_view.addItem(self.parent.roi_id) self.parent.roi_id.sigRegionChanged.connect(self.parent.roi_moved) - if mode == 'square': + if mode == "square": self.parent.ui.roi_width.setText(str(new_value)) self.parent.ui.roi_height.setText(str(new_value)) self.parent.reset_profile_of_bin_size_slider() @@ -165,19 +172,23 @@ def update_selection_plot(self): max_value = self.parent.ui.profile_of_bin_size_slider.maximum() roi_selected = max_value - self.parent.ui.profile_of_bin_size_slider.value() - y_axis = self.parent.fitting_input_dictionary['rois'][roi_selected]['profile'] + y_axis = self.parent.fitting_input_dictionary["rois"][roi_selected]["profile"] - self.parent.ui.profile.plot(x_axis, y_axis, pen=(self.parent.shrinking_roi_rgb[0], - self.parent.shrinking_roi_rgb[1], - self.parent.shrinking_roi_rgb[2])) + self.parent.ui.profile.plot( + x_axis, + y_axis, + pen=(self.parent.shrinking_roi_rgb[0], self.parent.shrinking_roi_rgb[1], self.parent.shrinking_roi_rgb[2]), + ) self.parent.ui.profile.setLabel("bottom", x_axis_label) - self.parent.ui.profile.setLabel("left", 'Mean transmission') + self.parent.ui.profile.setLabel("left", "Mean transmission") # full region - y_axis = self.parent.fitting_input_dictionary['rois'][0]['profile'] - self.parent.ui.profile.plot(x_axis, y_axis, pen=(self.parent.selection_roi_rgb[0], - self.parent.selection_roi_rgb[1], - self.parent.selection_roi_rgb[2])) + y_axis = self.parent.fitting_input_dictionary["rois"][0]["profile"] + self.parent.ui.profile.plot( + x_axis, + y_axis, + pen=(self.parent.selection_roi_rgb[0], self.parent.selection_roi_rgb[1], self.parent.selection_roi_rgb[2]), + ) def profile_of_bin_size_slider_changed(self, new_value): try: @@ -210,10 +221,10 @@ def profile_of_bin_size_slider_changed(self, new_value): def update_roi_defined_by_profile_of_bin_size_slider(self): coordinates_new_selection = self.get_coordinates_of_new_inside_selection_box() self.parent.shrinking_roi = coordinates_new_selection - x0 = coordinates_new_selection['x0'] - y0 = coordinates_new_selection['y0'] - width = coordinates_new_selection['width'] - height = coordinates_new_selection['height'] + x0 = coordinates_new_selection["x0"] + y0 = coordinates_new_selection["y0"] + width = coordinates_new_selection["width"] + height = coordinates_new_selection["height"] # remove old selection if self.parent.shrinking_roi_id: @@ -221,25 +232,23 @@ def update_roi_defined_by_profile_of_bin_size_slider(self): # plot new box _pen = QtGui.QPen() - _pen.setDashPattern(self.parent.shrinking_roi_settings['dashes_pattern']) - _pen.setColor(self.parent.shrinking_roi_settings['color']) - _pen.setWidthF(self.parent.shrinking_roi_settings['width']) - - self.parent.shrinking_roi_id = pg.ROI([x0, y0], - [width, height], - pen=_pen, - scaleSnap=True, - movable=False) + _pen.setDashPattern(self.parent.shrinking_roi_settings["dashes_pattern"]) + _pen.setColor(self.parent.shrinking_roi_settings["color"]) + _pen.setWidthF(self.parent.shrinking_roi_settings["width"]) + + self.parent.shrinking_roi_id = pg.ROI([x0, y0], [width, height], pen=_pen, scaleSnap=True, movable=False) self.parent.ui.image_view.addItem(self.parent.shrinking_roi_id) def update_profile_of_bin_slider_widget(self): self.parent.change_profile_of_bin_slider_signal() fitting_input_dictionary = self.parent.fitting_input_dictionary dict_rois_imported = OrderedDict() - nbr_key = len(fitting_input_dictionary['rois'].keys()) - for _index, _key in enumerate(fitting_input_dictionary['rois'].keys()): - dict_rois_imported[nbr_key - 1 - _index] = {'width' : fitting_input_dictionary['rois'][_key]['width'], - 'height': fitting_input_dictionary['rois'][_key]['height']} + nbr_key = len(fitting_input_dictionary["rois"].keys()) + for _index, _key in enumerate(fitting_input_dictionary["rois"].keys()): + dict_rois_imported[nbr_key - 1 - _index] = { + "width": fitting_input_dictionary["rois"][_key]["width"], + "height": fitting_input_dictionary["rois"][_key]["height"], + } self.parent.dict_rois_imported = dict_rois_imported self.parent.ui.profile_of_bin_size_slider.setRange(0, len(dict_rois_imported) - 1) # self.parent.ui.profile_of_bin_size_slider.setMinimum(0) diff --git a/notebooks/__code/bragg_edge/peak_fitting_evaluation/get.py b/notebooks/__code/bragg_edge/peak_fitting_evaluation/get.py index 5d06a688..cc715ba7 100755 --- a/notebooks/__code/bragg_edge/peak_fitting_evaluation/get.py +++ b/notebooks/__code/bragg_edge/peak_fitting_evaluation/get.py @@ -2,45 +2,48 @@ from __code._utilities.get import Get as TopGet from __code.bragg_edge.bragg_edge_peak_fitting_gui_utility import GuiUtility -from __code.selection_region_utilities import SelectionRegionUtilities from __code.bragg_edge.peak_fitting_evaluation import LOG_FILENAME +from __code.selection_region_utilities import SelectionRegionUtilities class GetInfo(TopGet): - def log_file_name(self): return TopGet.log_file_name(LOG_FILENAME) class Get(TopGet): - def __init__(self, parent=None): self.parent = parent - self.x_axis_choice_ui = {'selection': {'index' : self.parent.ui.selection_index_radiobutton, - 'tof' : self.parent.ui.selection_tof_radiobutton, - 'lambda': self.parent.ui.selection_lambda_radiobutton}, - 'fitting' : {'index' : self.parent.ui.fitting_index_radiobutton, - 'tof' : self.parent.ui.fitting_tof_radiobutton, - 'lambda': self.parent.ui.fitting_lambda_radiobutton}, - } - - def specified_x_axis(self, xaxis='index'): + self.x_axis_choice_ui = { + "selection": { + "index": self.parent.ui.selection_index_radiobutton, + "tof": self.parent.ui.selection_tof_radiobutton, + "lambda": self.parent.ui.selection_lambda_radiobutton, + }, + "fitting": { + "index": self.parent.ui.fitting_index_radiobutton, + "tof": self.parent.ui.fitting_tof_radiobutton, + "lambda": self.parent.ui.fitting_lambda_radiobutton, + }, + } + + def specified_x_axis(self, xaxis="index"): # if self.parent.is_file_imported: # return self.parent.fitting_input_dictionary['xaxis'][xaxis] # else: label = self.parent.xaxis_label[xaxis] - if xaxis == 'index': + if xaxis == "index": return self.parent.index_array, label - elif xaxis == 'tof': + elif xaxis == "tof": return self.parent.tof_array_s * 1e6, label - elif xaxis == 'lambda': + elif xaxis == "lambda": return self.parent.lambda_array, label else: raise NotImplementedError - def x_axis_label(self, x_axis_selected='index'): - x_axis_dict = self.parent.fitting_input_dictionary['xaxis'] + def x_axis_label(self, x_axis_selected="index"): + x_axis_dict = self.parent.fitting_input_dictionary["xaxis"] return x_axis_dict[x_axis_selected][1] def x_axis_checked(self): @@ -49,34 +52,36 @@ def x_axis_checked(self): list_ui = self.x_axis_choice_ui[tab_selected] - if list_ui['index'].isChecked(): - return 'index' - elif list_ui['tof'].isChecked(): - return 'tof' + if list_ui["index"].isChecked(): + return "index" + elif list_ui["tof"].isChecked(): + return "tof" else: - return 'lambda' + return "lambda" def x_axis(self): o_gui = GuiUtility(parent=self.parent) tab_selected = o_gui.get_tab_selected(self.parent.ui.tabWidget).lower() list_ui = self.x_axis_choice_ui[tab_selected] - if list_ui['index'].isChecked(): - return self.specified_x_axis(xaxis='index') - elif list_ui['tof'].isChecked(): - return self.specified_x_axis(xaxis='tof') + if list_ui["index"].isChecked(): + return self.specified_x_axis(xaxis="index") + elif list_ui["tof"].isChecked(): + return self.specified_x_axis(xaxis="tof") else: - return self.specified_x_axis(xaxis='lambda') + return self.specified_x_axis(xaxis="lambda") def all_x_axis(self): - all_x_axis = {'index' : self.specified_x_axis(xaxis='index'), - 'tof' : self.specified_x_axis(xaxis='tof'), - 'lambda': self.specified_x_axis(xaxis='lambda')} + all_x_axis = { + "index": self.specified_x_axis(xaxis="index"), + "tof": self.specified_x_axis(xaxis="tof"), + "lambda": self.specified_x_axis(xaxis="lambda"), + } return all_x_axis def all_russian_doll_region_full_infos(self): if self.parent.is_file_imported: - dict_regions = self.parent.fitting_input_dictionary['rois'] + dict_regions = self.parent.fitting_input_dictionary["rois"] else: # collect initial selection size (x0, y0, width, height) [x0, y0, x1, y1, width, height] = self.selection_roi_dimension() @@ -92,8 +97,7 @@ def selection_roi_dimension(self): x0, y0, x1, y1, width, height = None, None, None, None, None, None if roi_id: - region = roi_id.getArraySlice(self.parent.final_image, - self.parent.ui.image_view.imageItem) + region = roi_id.getArraySlice(self.parent.final_image, self.parent.ui.image_view.imageItem) x0 = region[0][0].start x1 = region[0][0].stop y0 = region[0][1].start @@ -114,80 +118,81 @@ def profile_of_roi(self, x0=None, y0=None, x1=None, y1=None, width=None, height= if height: y1 = y0 + height - for _image in self.parent.o_norm.data['sample']['data']: + for _image in self.parent.o_norm.data["sample"]["data"]: _value = np.mean(_image[y0:y1, x0:x1]) profile_value.append(_value) return profile_value - def requested_xaxis(self, xaxis_label='index'): - if xaxis_label == 'index': - return self.parent.dict_profile_to_fit['xaxis']['index'], self.parent.xaxis_label['index'] - elif xaxis_label == 'tof': - return self.parent.dict_profile_to_fit['xaxis']['tof'], self.parent.xaxis_label['tof'] - elif xaxis_label == 'lambda': - return self.parent.dict_profile_to_fit['xaxis']['lambda'], self.parent.xaxis_label['lambda'] + def requested_xaxis(self, xaxis_label="index"): + if xaxis_label == "index": + return self.parent.dict_profile_to_fit["xaxis"]["index"], self.parent.xaxis_label["index"] + elif xaxis_label == "tof": + return self.parent.dict_profile_to_fit["xaxis"]["tof"], self.parent.xaxis_label["tof"] + elif xaxis_label == "lambda": + return self.parent.dict_profile_to_fit["xaxis"]["lambda"], self.parent.xaxis_label["lambda"] def fitting_profile_xaxis(self): if self.parent.ui.fitting_tof_radiobutton.isChecked(): - return self.requested_xaxis(xaxis_label='tof') + return self.requested_xaxis(xaxis_label="tof") elif self.ui.fitting_index_radiobutton.isChecked(): - return self.requested_xaxis(xaxis_label='index') + return self.requested_xaxis(xaxis_label="index") else: - return self.requested_xaxis(xaxis_label='lambda') + return self.requested_xaxis(xaxis_label="lambda") def part_of_fitting_selected(self): """high, low or bragg_peak""" list_pages = ["Bragg peak selection", "high", "low", "bragg_peak"] - list_table_ui = [None, - self.parent.ui.high_lda_tableWidget, - self.parent.ui.low_lda_tableWidget, - self.parent.ui.bragg_edge_tableWidget] + list_table_ui = [ + None, + self.parent.ui.high_lda_tableWidget, + self.parent.ui.low_lda_tableWidget, + self.parent.ui.bragg_edge_tableWidget, + ] page_index = self.parent.ui.kropff_toolBox.currentIndex() - return {'name_of_page': list_pages[page_index], - 'table_ui' : list_table_ui[page_index]} + return {"name_of_page": list_pages[page_index], "table_ui": list_table_ui[page_index]} def y_axis_data_of_selected_row(self, row_selected): - selected_roi = self.parent.fitting_input_dictionary['rois'][row_selected] - yaxis = selected_roi['profile'] + selected_roi = self.parent.fitting_input_dictionary["rois"][row_selected] + yaxis = selected_roi["profile"] [left_xaxis_index, right_xaxis_index] = self.parent.bragg_edge_range - yaxis = yaxis[left_xaxis_index: right_xaxis_index] + yaxis = yaxis[left_xaxis_index:right_xaxis_index] return yaxis - def x_axis_data(self, x_axis_selected='index'): - xaxis_dict = self.parent.fitting_input_dictionary['xaxis'] + def x_axis_data(self, x_axis_selected="index"): + xaxis_dict = self.parent.fitting_input_dictionary["xaxis"] xaxis_index, xaxis_label = xaxis_dict[x_axis_selected] [left_xaxis_index, right_xaxis_index] = self.parent.bragg_edge_range - xaxis = xaxis_index[left_xaxis_index: right_xaxis_index] + xaxis = xaxis_index[left_xaxis_index:right_xaxis_index] return xaxis def march_dollase_result_fitting_item_selected(self): if self.parent.ui.march_d_spacing.isChecked(): - return 'd_spacing' + return "d_spacing" elif self.parent.ui.march_sigma.isChecked(): - return 'sigma' + return "sigma" elif self.parent.ui.march_alpha.isChecked(): - return 'alpha' + return "alpha" elif self.parent.ui.march_a1.isChecked(): - return 'a1' + return "a1" elif self.parent.ui.march_a2.isChecked(): - return 'a2' + return "a2" elif self.parent.ui.march_a5.isChecked(): - return 'a5' + return "a5" elif self.parent.ui.march_a6.isChecked(): - return 'a6' + return "a6" else: raise NotImplementedError("fitting option parameter not implemented!") @staticmethod - def units(name='index'): - if name == 'index': - return 'file index' - elif name == 'tof': - return u"\u03BCs" - elif name == 'lambda': - return u"\u212B" + def units(name="index"): + if name == "index": + return "file index" + elif name == "tof": + return "\u03bcs" + elif name == "lambda": + return "\u212b" else: return "" diff --git a/notebooks/__code/bragg_edge/peak_fitting_evaluation/kropff.py b/notebooks/__code/bragg_edge/peak_fitting_evaluation/kropff.py index 99964876..6e8b0045 100755 --- a/notebooks/__code/bragg_edge/peak_fitting_evaluation/kropff.py +++ b/notebooks/__code/bragg_edge/peak_fitting_evaluation/kropff.py @@ -1,27 +1,29 @@ +from pathlib import Path + import numpy as np +import pyqtgraph as pg from qtpy import QtGui -from qtpy.QtWidgets import QFileDialog, QMenu from qtpy.QtGui import QGuiApplication -from pathlib import Path -import pyqtgraph as pg +from qtpy.QtWidgets import QFileDialog, QMenu -from __code.table_handler import TableHandler +from __code._utilities.dictionary import key_path_exists_in_dictionary from __code.bragg_edge.bragg_edge_peak_fitting_gui_utility import GuiUtility +from __code.bragg_edge.get import Get from __code.bragg_edge.kropff_fitting_job_handler import KropffFittingJobHandler from __code.file_handler import make_ascii_file_from_2dim_array -from __code.bragg_edge.get import Get -from __code._utilities.dictionary import key_path_exists_in_dictionary +from __code.table_handler import TableHandler from __code.utilities import find_nearest_index class Kropff: - def __init__(self, parent=None): self.parent = parent - self.table_ui = {'high_lda' : self.parent.ui.high_lda_tableWidget, - 'low_lda' : self.parent.ui.low_lda_tableWidget, - 'bragg_peak': self.parent.ui.bragg_edge_tableWidget} + self.table_ui = { + "high_lda": self.parent.ui.high_lda_tableWidget, + "low_lda": self.parent.ui.low_lda_tableWidget, + "bragg_peak": self.parent.ui.bragg_edge_tableWidget, + } def reset_all_table(self): self.reset_high_lambda_table() @@ -29,18 +31,18 @@ def reset_all_table(self): self.reset_bragg_peak_table() def reset_high_lambda_table(self): - self.clear_table(table_name='high_lda') - self.fill_table_with_minimum_contain(table_ui=self.table_ui['high_lda']) + self.clear_table(table_name="high_lda") + self.fill_table_with_minimum_contain(table_ui=self.table_ui["high_lda"]) def reset_low_lambda_table(self): - self.clear_table(table_name='low_lda') - self.fill_table_with_minimum_contain(table_ui=self.table_ui['low_lda']) + self.clear_table(table_name="low_lda") + self.fill_table_with_minimum_contain(table_ui=self.table_ui["low_lda"]) def reset_bragg_peak_table(self): - self.clear_table(table_name='bragg_peak') + self.clear_table(table_name="bragg_peak") self.fill_table_with_minimum_contain(table_ui=self.parent.ui.bragg_edge_tableWidget) - def clear_table(self, table_name='high_lambda', is_all=False): + def clear_table(self, table_name="high_lambda", is_all=False): """remove all the rows of the table name specified, or all if is_all is True""" if is_all: for _key in self.table_ui.keys(): @@ -51,51 +53,50 @@ def clear_table(self, table_name='high_lambda', is_all=False): def fill_table_with_minimum_contain(self, table_ui=None): fitting_input_dictionary = self.parent.fitting_input_dictionary - rois = fitting_input_dictionary['rois'] + rois = fitting_input_dictionary["rois"] o_table = TableHandler(table_ui=table_ui) nbr_column = o_table.table_ui.columnCount() other_column_name = ["N/A" for _ in np.arange(nbr_column)] for _row, _roi in enumerate(rois.keys()): _roi_key = rois[_roi] - list_col_name = "{}; {}; {}; {}".format(_roi_key['x0'], - _roi_key['y0'], - _roi_key['width'], - _roi_key['height']) + list_col_name = "{}; {}; {}; {}".format( + _roi_key["x0"], _roi_key["y0"], _roi_key["width"], _roi_key["height"] + ) col_name = [list_col_name] + other_column_name o_table.insert_row(_row, col_name) def fill_table_with_fitting_information(self): fitting_input_dictionary = self.parent.fitting_input_dictionary - o_table = TableHandler(table_ui=self.table_ui['high_lda']) + o_table = TableHandler(table_ui=self.table_ui["high_lda"]) _col = 1 - for _row in fitting_input_dictionary['rois'].keys(): - _entry = fitting_input_dictionary['rois'][_row]['fitting']['kropff']['high'] - o_table.set_item_with_float(_row, _col, _entry['a0']) - o_table.set_item_with_float(_row, _col + 1, _entry['b0']) - o_table.set_item_with_float(_row, _col + 2, _entry['a0_error']) - o_table.set_item_with_float(_row, _col + 3, _entry['b0_error']) - - o_table = TableHandler(table_ui=self.table_ui['low_lda']) + for _row in fitting_input_dictionary["rois"].keys(): + _entry = fitting_input_dictionary["rois"][_row]["fitting"]["kropff"]["high"] + o_table.set_item_with_float(_row, _col, _entry["a0"]) + o_table.set_item_with_float(_row, _col + 1, _entry["b0"]) + o_table.set_item_with_float(_row, _col + 2, _entry["a0_error"]) + o_table.set_item_with_float(_row, _col + 3, _entry["b0_error"]) + + o_table = TableHandler(table_ui=self.table_ui["low_lda"]) _col = 1 - for _row in fitting_input_dictionary['rois'].keys(): - _entry = fitting_input_dictionary['rois'][_row]['fitting']['kropff']['low'] - o_table.set_item_with_float(_row, _col, _entry['ahkl']) - o_table.set_item_with_float(_row, _col + 1, _entry['bhkl']) - o_table.set_item_with_float(_row, _col + 2, _entry['ahkl_error']) - o_table.set_item_with_float(_row, _col + 3, _entry['bhkl_error']) - - o_table = TableHandler(table_ui=self.table_ui['bragg_peak']) + for _row in fitting_input_dictionary["rois"].keys(): + _entry = fitting_input_dictionary["rois"][_row]["fitting"]["kropff"]["low"] + o_table.set_item_with_float(_row, _col, _entry["ahkl"]) + o_table.set_item_with_float(_row, _col + 1, _entry["bhkl"]) + o_table.set_item_with_float(_row, _col + 2, _entry["ahkl_error"]) + o_table.set_item_with_float(_row, _col + 3, _entry["bhkl_error"]) + + o_table = TableHandler(table_ui=self.table_ui["bragg_peak"]) _col = 1 - for _row in fitting_input_dictionary['rois'].keys(): - _entry = fitting_input_dictionary['rois'][_row]['fitting']['kropff']['bragg_peak'] - o_table.set_item_with_float(_row, _col, _entry['ldahkl']) - o_table.set_item_with_float(_row, _col + 1, _entry['tau']) - o_table.set_item_with_float(_row, _col + 2, _entry['sigma']) - o_table.set_item_with_float(_row, _col + 3, _entry['ldahkl_error']) - o_table.set_item_with_float(_row, _col + 4, _entry['tau_error']) - o_table.set_item_with_float(_row, _col + 5, _entry['sigma_error']) + for _row in fitting_input_dictionary["rois"].keys(): + _entry = fitting_input_dictionary["rois"][_row]["fitting"]["kropff"]["bragg_peak"] + o_table.set_item_with_float(_row, _col, _entry["ldahkl"]) + o_table.set_item_with_float(_row, _col + 1, _entry["tau"]) + o_table.set_item_with_float(_row, _col + 2, _entry["sigma"]) + o_table.set_item_with_float(_row, _col + 3, _entry["ldahkl_error"]) + o_table.set_item_with_float(_row, _col + 4, _entry["tau_error"]) + o_table.set_item_with_float(_row, _col + 5, _entry["sigma_error"]) def bragg_peak_right_click(self, position=None): menu = QMenu(self.parent) @@ -127,56 +128,54 @@ def fit_bragg_peak_selected_rows(self): def export_bragg_peak_profile(self): working_dir = str(Path(self.parent.working_dir).parent) - _export_folder = QFileDialog.getExistingDirectory(self.parent, - directory=working_dir, - caption="Select Output Folder") + _export_folder = QFileDialog.getExistingDirectory( + self.parent, directory=working_dir, caption="Select Output Folder" + ) QGuiApplication.processEvents() # to close QFileDialog if _export_folder: - o_gui = GuiUtility(parent=self.parent) list_row_selected = o_gui.get_rows_of_table_selected(table_ui=self.parent.ui.bragg_edge_tableWidget) for row_selected in list_row_selected: # make up output file name - name_of_row = o_gui.get_table_str_item(table_ui=self.parent.ui.bragg_edge_tableWidget, - row=row_selected, - column=0) + name_of_row = o_gui.get_table_str_item( + table_ui=self.parent.ui.bragg_edge_tableWidget, row=row_selected, column=0 + ) [x0, y0, width, height] = name_of_row.split("; ") - name_of_row_formatted = "x0{}_y0{}_width{}_height{}".format(x0, y0, width, height) - file_name = "kropff_bragg_peak_profile_{}.txt".format(name_of_row_formatted) + name_of_row_formatted = f"x0{x0}_y0{y0}_width{width}_height{height}" + file_name = f"kropff_bragg_peak_profile_{name_of_row_formatted}.txt" full_file_name = str(Path(_export_folder) / Path(file_name)) o_fit = KropffFittingJobHandler(parent=self.parent) - o_fit.prepare(kropff_tooldbox='bragg_peak') + o_fit.prepare(kropff_tooldbox="bragg_peak") x_axis = o_fit.xaxis_to_fit y_axis = o_fit.list_yaxis_to_fit[row_selected] - a0 = self.parent.fitting_input_dictionary['rois'][row_selected]['fitting']['kropff']['high']['a0'] - b0 = self.parent.fitting_input_dictionary['rois'][row_selected]['fitting']['kropff']['high']['b0'] - ahkl = self.parent.fitting_input_dictionary['rois'][row_selected]['fitting']['kropff']['low']['ahkl'] - bhkl = self.parent.fitting_input_dictionary['rois'][row_selected]['fitting']['kropff']['low']['bhkl'] - - metadata = ["# Bragg peak fitting of row {}".format(row_selected + 1)] - metadata.append("# x0: {}".format(x0)) - metadata.append("# y0: {}".format(y0)) - metadata.append("# width: {}".format(width)) - metadata.append("# height: {}".format(height)) - metadata.append("# a0: {}".format(a0)) - metadata.append("# b0: {}".format(b0)) - metadata.append("# ahkl: {}".format(ahkl)) - metadata.append("# bhkl: {}".format(bhkl)) + a0 = self.parent.fitting_input_dictionary["rois"][row_selected]["fitting"]["kropff"]["high"]["a0"] + b0 = self.parent.fitting_input_dictionary["rois"][row_selected]["fitting"]["kropff"]["high"]["b0"] + ahkl = self.parent.fitting_input_dictionary["rois"][row_selected]["fitting"]["kropff"]["low"]["ahkl"] + bhkl = self.parent.fitting_input_dictionary["rois"][row_selected]["fitting"]["kropff"]["low"]["bhkl"] + + metadata = [f"# Bragg peak fitting of row {row_selected + 1}"] + metadata.append(f"# x0: {x0}") + metadata.append(f"# y0: {y0}") + metadata.append(f"# width: {width}") + metadata.append(f"# height: {height}") + metadata.append(f"# a0: {a0}") + metadata.append(f"# b0: {b0}") + metadata.append(f"# ahkl: {ahkl}") + metadata.append(f"# bhkl: {bhkl}") metadata.append("#") metadata.append("# lambda (Angstroms), average transmission") - make_ascii_file_from_2dim_array(metadata=metadata, - col1=x_axis, - col2=y_axis, - output_file_name=full_file_name) + make_ascii_file_from_2dim_array( + metadata=metadata, col1=x_axis, col2=y_axis, output_file_name=full_file_name + ) - message = "Exported {} file(s) in {}".format(len(list_row_selected), _export_folder) + message = f"Exported {len(list_row_selected)} file(s) in {_export_folder}" self.parent.ui.statusbar.showMessage(message, 15000) # 15s self.parent.ui.statusbar.setStyleSheet("color: green") @@ -189,22 +188,21 @@ def select_all_rows_with_negative_thkl(self): self.parent.ui.bragg_edge_tableWidget.setSelectionMode(2) list_of_rows_to_select = [] - fitting_input_dictionary_rois = self.parent.fitting_input_dictionary['rois'] + fitting_input_dictionary_rois = self.parent.fitting_input_dictionary["rois"] for _row in fitting_input_dictionary_rois.keys(): - _thkl = float(fitting_input_dictionary_rois[_row]['fitting']['kropff']['bragg_peak']['ldahkl']) + _thkl = float(fitting_input_dictionary_rois[_row]["fitting"]["kropff"]["bragg_peak"]["ldahkl"]) if _thkl < 0: list_of_rows_to_select.append(_row) o_gui = GuiUtility(parent=self.parent) - o_gui.select_rows_of_table(table_ui=self.parent.ui.bragg_edge_tableWidget, - list_of_rows=list_of_rows_to_select) + o_gui.select_rows_of_table(table_ui=self.parent.ui.bragg_edge_tableWidget, list_of_rows=list_of_rows_to_select) def update_fitting_plot(self): self.parent.ui.fitting.clear() o_get = Get(parent=self.parent) part_of_fitting_dict = o_get.part_of_fitting_selected() - name_of_page = part_of_fitting_dict['name_of_page'] - table_ui = part_of_fitting_dict['table_ui'] + name_of_page = part_of_fitting_dict["name_of_page"] + table_ui = part_of_fitting_dict["table_ui"] o_table = TableHandler(table_ui=table_ui) list_row_selected = o_table.get_rows_of_table_selected() @@ -214,21 +212,26 @@ def update_fitting_plot(self): # first fitting tab where we only display the full data with bragg peak selection if self.parent.fitting_peak_ui: self.parent.ui.fitting.removeItem(self.parent.fitting_peak_ui) - xaxis_dict = self.parent.fitting_input_dictionary['xaxis'] + xaxis_dict = self.parent.fitting_input_dictionary["xaxis"] xaxis_index, xaxis_label = xaxis_dict[x_axis_selected] [left_xaxis_index, right_xaxis_index] = self.parent.bragg_edge_range - xaxis = xaxis_index[left_xaxis_index: right_xaxis_index] - selected_roi = self.parent.fitting_input_dictionary['rois'][0] - yaxis = selected_roi['profile'] - yaxis = yaxis[left_xaxis_index: right_xaxis_index] + xaxis = xaxis_index[left_xaxis_index:right_xaxis_index] + selected_roi = self.parent.fitting_input_dictionary["rois"][0] + yaxis = selected_roi["profile"] + yaxis = yaxis[left_xaxis_index:right_xaxis_index] yaxis = -np.log(yaxis) - self.parent.ui.fitting.plot(xaxis, yaxis, - pen=(self.parent.selection_roi_rgb[0], - self.parent.selection_roi_rgb[1], - self.parent.selection_roi_rgb[2]), - symbol='o') + self.parent.ui.fitting.plot( + xaxis, + yaxis, + pen=( + self.parent.selection_roi_rgb[0], + self.parent.selection_roi_rgb[1], + self.parent.selection_roi_rgb[2], + ), + symbol="o", + ) self.parent.ui.fitting.setLabel("bottom", xaxis_label) - peak_range_index = self.parent.kropff_fitting_range['bragg_peak'] + peak_range_index = self.parent.kropff_fitting_range["bragg_peak"] if peak_range_index[0] is None: peak_range = self.parent.bragg_edge_range else: @@ -236,38 +239,39 @@ def update_fitting_plot(self): if self.parent.fitting_peak_ui: self.parent.ui.fitting.removeItem(self.parent.fitting_peak_ui) - self.parent.fitting_peak_ui = pg.LinearRegionItem(values=peak_range, - orientation='vertical', - brush=None, - movable=True, - bounds=None) + self.parent.fitting_peak_ui = pg.LinearRegionItem( + values=peak_range, orientation="vertical", brush=None, movable=True, bounds=None + ) self.parent.fitting_peak_ui.sigRegionChanged.connect(self.parent.fitting_range_changed) self.parent.fitting_peak_ui.setZValue(-10) self.parent.ui.fitting.addItem(self.parent.fitting_peak_ui) else: - for row_selected in list_row_selected: + selected_roi = self.parent.fitting_input_dictionary["rois"][row_selected] - selected_roi = self.parent.fitting_input_dictionary['rois'][row_selected] - - xaxis_dict = self.parent.fitting_input_dictionary['xaxis'] + xaxis_dict = self.parent.fitting_input_dictionary["xaxis"] [left_xaxis_index, right_xaxis_index] = self.parent.bragg_edge_range - yaxis = selected_roi['profile'] + yaxis = selected_roi["profile"] xaxis_index, xaxis_label = xaxis_dict[x_axis_selected] - xaxis = xaxis_index[left_xaxis_index: right_xaxis_index] - yaxis = yaxis[left_xaxis_index: right_xaxis_index] + xaxis = xaxis_index[left_xaxis_index:right_xaxis_index] + yaxis = yaxis[left_xaxis_index:right_xaxis_index] self.parent.ui.fitting.setLabel("bottom", xaxis_label) - self.parent.ui.fitting.setLabel("left", 'Cross Section (arbitrary units)') + self.parent.ui.fitting.setLabel("left", "Cross Section (arbitrary units)") yaxis = -np.log(yaxis) - self.parent.ui.fitting.plot(xaxis, yaxis, - pen=(self.parent.selection_roi_rgb[0], - self.parent.selection_roi_rgb[1], - self.parent.selection_roi_rgb[2]), - symbol='o') + self.parent.ui.fitting.plot( + xaxis, + yaxis, + pen=( + self.parent.selection_roi_rgb[0], + self.parent.selection_roi_rgb[1], + self.parent.selection_roi_rgb[2], + ), + symbol="o", + ) peak_range_index = self.parent.kropff_fitting_range[name_of_page] if peak_range_index[0] is None: @@ -278,11 +282,9 @@ def update_fitting_plot(self): if self.parent.fitting_peak_ui: self.parent.ui.fitting.removeItem(self.parent.fitting_peak_ui) - self.parent.fitting_peak_ui = pg.LinearRegionItem(values=peak_range, - orientation='vertical', - brush=None, - movable=False, - bounds=None) + self.parent.fitting_peak_ui = pg.LinearRegionItem( + values=peak_range, orientation="vertical", brush=None, movable=False, bounds=None + ) self.parent.fitting_peak_ui.sigRegionChanged.connect(self.parent.fitting_range_changed) self.parent.fitting_peak_ui.setZValue(-10) self.parent.ui.fitting.addItem(self.parent.fitting_peak_ui) @@ -290,21 +292,21 @@ def update_fitting_plot(self): o_gui = GuiUtility(parent=self.parent) algo_name = o_gui.get_tab_selected(self.parent.ui.tab_algorithm).lower() - if key_path_exists_in_dictionary(dictionary=self.parent.fitting_input_dictionary, - tree_key=['rois', row_selected, 'fitting', algo_name, - name_of_page, 'xaxis_to_fit']): - + if key_path_exists_in_dictionary( + dictionary=self.parent.fitting_input_dictionary, + tree_key=["rois", row_selected, "fitting", algo_name, name_of_page, "xaxis_to_fit"], + ): # show fit only if tof scale selected - if x_axis_selected == 'lambda': - _entry = self.parent.fitting_input_dictionary['rois'][row_selected]['fitting'][algo_name][ - name_of_page] - xaxis = _entry['xaxis_to_fit'] - yaxis = _entry['yaxis_fitted'] + if x_axis_selected == "lambda": + _entry = self.parent.fitting_input_dictionary["rois"][row_selected]["fitting"][algo_name][ + name_of_page + ] + xaxis = _entry["xaxis_to_fit"] + yaxis = _entry["yaxis_fitted"] # yaxis = -np.log(yaxis) - self.parent.ui.fitting.plot(xaxis, yaxis, - pen=(self.parent.fit_rgb[0], - self.parent.fit_rgb[1], - self.parent.fit_rgb[2])) + self.parent.ui.fitting.plot( + xaxis, yaxis, pen=(self.parent.fit_rgb[0], self.parent.fit_rgb[1], self.parent.fit_rgb[2]) + ) if peak_range_index[0] is None: self.parent.fitting_range_changed() @@ -317,22 +319,23 @@ def update_roi_labels(self): o_get = Get(parent=self.parent) x_axis_selected = o_get.x_axis_checked() - xaxis_dict = self.parent.fitting_input_dictionary['xaxis'] + xaxis_dict = self.parent.fitting_input_dictionary["xaxis"] xaxis_index, _ = xaxis_dict[x_axis_selected] [left_xaxis_index, right_xaxis_index] = [global_left_range, global_right_range] - xaxis = xaxis_index[left_xaxis_index: right_xaxis_index] + xaxis = xaxis_index[left_xaxis_index:right_xaxis_index] left_index = find_nearest_index(array=xaxis, value=left_range) right_index = find_nearest_index(array=xaxis, value=right_range) - xaxis_in_selected_axis = self.parent.fitting_input_dictionary['xaxis'][x_axis_selected][0][ - global_left_range: global_right_range] + xaxis_in_selected_axis = self.parent.fitting_input_dictionary["xaxis"][x_axis_selected][0][ + global_left_range:global_right_range + ] real_left_value = xaxis_in_selected_axis[left_index] real_right_value = xaxis_in_selected_axis[right_index] - if x_axis_selected == 'lambda': + if x_axis_selected == "lambda": str_format = "{:02f}" - elif x_axis_selected == 'tof': + elif x_axis_selected == "tof": str_format = "{:04.2f}" else: str_format = "{}" diff --git a/notebooks/__code/bragg_edge/peak_fitting_evaluation/kropff_fitting_job_handler.py b/notebooks/__code/bragg_edge/peak_fitting_evaluation/kropff_fitting_job_handler.py index 21777b16..1830ab89 100755 --- a/notebooks/__code/bragg_edge/peak_fitting_evaluation/kropff_fitting_job_handler.py +++ b/notebooks/__code/bragg_edge/peak_fitting_evaluation/kropff_fitting_job_handler.py @@ -1,9 +1,10 @@ -from lmfit import Model, Parameter from copy import deepcopy + import numpy as np +from lmfit import Model, Parameter -from __code.bragg_edge.fitting_functions import kropff_high_lambda, kropff_low_lambda, kropff_bragg_peak_tof from __code.bragg_edge.bragg_edge_peak_fitting_gui_utility import GuiUtility +from __code.bragg_edge.fitting_functions import kropff_bragg_peak_tof, kropff_high_lambda, kropff_low_lambda class KropffFittingJobHandler: @@ -15,32 +16,31 @@ def __init__(self, parent=None): self.xaxis_to_fit = None self.list_yaxis_to_fit = None - def prepare(self, kropff_tooldbox='high'): + def prepare(self, kropff_tooldbox="high"): """ :param kropff_tooldbox: 'high', 'low', 'bragg_peak' """ - if kropff_tooldbox == 'bragg_peak': - fitting_range = [self.parent.kropff_fitting_range['low'][0], - self.parent.kropff_fitting_range['high'][1]] + if kropff_tooldbox == "bragg_peak": + fitting_range = [self.parent.kropff_fitting_range["low"][0], self.parent.kropff_fitting_range["high"][1]] else: fitting_range = self.parent.kropff_fitting_range[kropff_tooldbox] # fitting_range = self.parent.kropff_fitting_range[kropff_tooldbox] - xaxis = self.parent.fitting_input_dictionary['xaxis']['lambda'][0] + xaxis = self.parent.fitting_input_dictionary["xaxis"]["lambda"][0] [left_xaxis_index, right_xaxis_index] = self.parent.bragg_edge_range - full_fitting_xaxis = xaxis[left_xaxis_index: right_xaxis_index] + full_fitting_xaxis = xaxis[left_xaxis_index:right_xaxis_index] # self.xaxis_to_fit = full_fitting_xaxis[fitting_range[0]: fitting_range[1] + 1] * 1e-6 # to convert in s - self.xaxis_to_fit = full_fitting_xaxis[fitting_range[0]: fitting_range[1] + 1] + self.xaxis_to_fit = full_fitting_xaxis[fitting_range[0] : fitting_range[1] + 1] list_yaxis_to_fit = [] - for _key in self.parent.fitting_input_dictionary['rois'].keys(): - _yaxis = self.parent.fitting_input_dictionary['rois'][_key]['profile'] - full_fitting_yaxis = _yaxis[left_xaxis_index: right_xaxis_index] - list_yaxis_to_fit.append(full_fitting_yaxis[fitting_range[0]: fitting_range[1] + 1]) + for _key in self.parent.fitting_input_dictionary["rois"].keys(): + _yaxis = self.parent.fitting_input_dictionary["rois"][_key]["profile"] + full_fitting_yaxis = _yaxis[left_xaxis_index:right_xaxis_index] + list_yaxis_to_fit.append(full_fitting_yaxis[fitting_range[0] : fitting_range[1] + 1]) self.list_yaxis_to_fit = list_yaxis_to_fit def run_kropff_high_lambda(self, update_table_ui=False): - gmodel = Model(kropff_high_lambda, missing='drop', independent_vars=['lda']) + gmodel = Model(kropff_high_lambda, missing="drop", independent_vars=["lda"]) lda = self.xaxis_to_fit o_gui = GuiUtility(parent=self.parent) @@ -50,31 +50,29 @@ def run_kropff_high_lambda(self, update_table_ui=False): for _index, yaxis in enumerate(self.list_yaxis_to_fit): yaxis = -np.log(yaxis) _result = gmodel.fit(yaxis, lda=lda, a0=a0_init, b0=b0_init) - a0 = _result.params['a0'].value - a0_error = _result.params['a0'].stderr - b0 = _result.params['b0'].value - b0_error = _result.params['b0'].stderr + a0 = _result.params["a0"].value + a0_error = _result.params["a0"].stderr + b0 = _result.params["b0"].value + b0_error = _result.params["b0"].stderr yaxis_fitted = kropff_high_lambda(self.xaxis_to_fit, a0, b0) - result_dict = {'a0' : a0, - 'b0' : b0, - 'a0_error' : a0_error, - 'b0_error' : b0_error, - 'xaxis_to_fit': lda, - 'yaxis_fitted': yaxis_fitted} + result_dict = { + "a0": a0, + "b0": b0, + "a0_error": a0_error, + "b0_error": b0_error, + "xaxis_to_fit": lda, + "yaxis_fitted": yaxis_fitted, + } - self.parent.fitting_input_dictionary['rois'][_index]['fitting']['kropff']['high'] = deepcopy(result_dict) + self.parent.fitting_input_dictionary["rois"][_index]["fitting"]["kropff"]["high"] = deepcopy(result_dict) if update_table_ui: - o_gui.update_kropff_high_lambda_table_ui(row=_index, - a0=a0, - b0=b0, - a0_error=a0_error, - b0_error=b0_error) + o_gui.update_kropff_high_lambda_table_ui(row=_index, a0=a0, b0=b0, a0_error=a0_error, b0_error=b0_error) def run_kropff_low_lambda(self, update_table_ui=False): - gmodel = Model(kropff_low_lambda, missing='drop', independent_vars=['lda']) + gmodel = Model(kropff_low_lambda, missing="drop", independent_vars=["lda"]) lda = self.xaxis_to_fit o_gui = GuiUtility(parent=self.parent) @@ -83,44 +81,45 @@ def run_kropff_low_lambda(self, update_table_ui=False): bhkl_init = float(str(self.parent.kropff_low_lda_bhkl_init.text())) for _row, yaxis in enumerate(self.list_yaxis_to_fit): - - _entry = self.parent.fitting_input_dictionary['rois'][_row]['fitting']['kropff']['high'] - a0 = float(_entry['a0']) - b0 = float(_entry['b0']) + _entry = self.parent.fitting_input_dictionary["rois"][_row]["fitting"]["kropff"]["high"] + a0 = float(_entry["a0"]) + b0 = float(_entry["b0"]) yaxis = -np.log(yaxis) - _result = gmodel.fit(yaxis, lda=lda, - a0=Parameter('a0', value=a0, vary=False), - b0=Parameter('b0', value=b0, vary=False), - ahkl=ahkl_init, - bhkl=bhkl_init) - - ahkl = _result.params['ahkl'].value - ahkl_error = _result.params['ahkl'].stderr - bhkl = _result.params['bhkl'].value - bhkl_error = _result.params['bhkl'].stderr - - yaxis_fitted = kropff_low_lambda(lda, - a0, b0, ahkl, bhkl) - - result_dict = {'ahkl' : ahkl, - 'bhkl' : bhkl, - 'ahkl_error' : ahkl_error, - 'bhkl_error' : bhkl_error, - 'xaxis_to_fit': lda, - 'yaxis_fitted': yaxis_fitted} - - self.parent.fitting_input_dictionary['rois'][_row]['fitting']['kropff']['low'] = deepcopy(result_dict) + _result = gmodel.fit( + yaxis, + lda=lda, + a0=Parameter("a0", value=a0, vary=False), + b0=Parameter("b0", value=b0, vary=False), + ahkl=ahkl_init, + bhkl=bhkl_init, + ) + + ahkl = _result.params["ahkl"].value + ahkl_error = _result.params["ahkl"].stderr + bhkl = _result.params["bhkl"].value + bhkl_error = _result.params["bhkl"].stderr + + yaxis_fitted = kropff_low_lambda(lda, a0, b0, ahkl, bhkl) + + result_dict = { + "ahkl": ahkl, + "bhkl": bhkl, + "ahkl_error": ahkl_error, + "bhkl_error": bhkl_error, + "xaxis_to_fit": lda, + "yaxis_fitted": yaxis_fitted, + } + + self.parent.fitting_input_dictionary["rois"][_row]["fitting"]["kropff"]["low"] = deepcopy(result_dict) if update_table_ui: - o_gui.update_kropff_low_lambda_table_ui(row=_row, - ahkl=ahkl, - bhkl=bhkl, - ahkl_error=ahkl_error, - bhkl_error=bhkl_error) + o_gui.update_kropff_low_lambda_table_ui( + row=_row, ahkl=ahkl, bhkl=bhkl, ahkl_error=ahkl_error, bhkl_error=bhkl_error + ) def run_bragg_peak(self, update_table_ui=False, list_row_to_fit=None): - gmodel = Model(kropff_bragg_peak_tof, nan_policy='propagate', independent_vars=['lda']) + gmodel = Model(kropff_bragg_peak_tof, nan_policy="propagate", independent_vars=["lda"]) lda = self.xaxis_to_fit o_gui = GuiUtility(parent=self.parent) @@ -130,59 +129,63 @@ def run_bragg_peak(self, update_table_ui=False, list_row_to_fit=None): sigma_init = float(self.parent.kropff_bragg_peak_sigma_comboBox.currentText()) for _row, yaxis in enumerate(self.list_yaxis_to_fit): - - if not list_row_to_fit is None: + if list_row_to_fit is not None: if _row not in list_row_to_fit: continue - _entry_high = self.parent.fitting_input_dictionary['rois'][_row]['fitting']['kropff']['high'] - a0 = float(_entry_high['a0']) - b0 = float(_entry_high['b0']) + _entry_high = self.parent.fitting_input_dictionary["rois"][_row]["fitting"]["kropff"]["high"] + a0 = float(_entry_high["a0"]) + b0 = float(_entry_high["b0"]) - _entry_low = self.parent.fitting_input_dictionary['rois'][_row]['fitting']['kropff']['low'] - ahkl = float(_entry_low['ahkl']) - bhkl = float(_entry_low['bhkl']) + _entry_low = self.parent.fitting_input_dictionary["rois"][_row]["fitting"]["kropff"]["low"] + ahkl = float(_entry_low["ahkl"]) + bhkl = float(_entry_low["bhkl"]) yaxis = -np.log(yaxis) - _result = gmodel.fit(yaxis, - lda=lda, - a0=Parameter('a0', value=a0, vary=False), - b0=Parameter('b0', value=b0, vary=False), - ahkl=Parameter('ahkl', value=ahkl, vary=False), - bhkl=Parameter('bhkl', value=bhkl, vary=False), - ldahkl=ldahkl_init, - sigma=sigma_init, - tau=tau_init) - - ldahkl = _result.params['ldahkl'].value - ldahkl_error = _result.params['ldahkl'].stderr - sigma = _result.params['sigma'].value - sigma_error = _result.params['sigma'].stderr - tau = _result.params['tau'].value - tau_error = _result.params['tau'].stderr - - yaxis_fitted = kropff_bragg_peak_tof(self.xaxis_to_fit, - a0, b0, ahkl, bhkl, - ldahkl, sigma, tau) - - result_dict = {'ldahkl' : ldahkl, - 'ldahkl_error': ldahkl_error, - 'sigma' : sigma, - 'sigma_error' : sigma_error, - 'tau' : tau, - 'tau_error' : tau_error, - 'xaxis_to_fit': lda, - 'yaxis_fitted': yaxis_fitted} - - self.parent.fitting_input_dictionary['rois'][_row]['fitting']['kropff']['bragg_peak'] = deepcopy( - result_dict) + _result = gmodel.fit( + yaxis, + lda=lda, + a0=Parameter("a0", value=a0, vary=False), + b0=Parameter("b0", value=b0, vary=False), + ahkl=Parameter("ahkl", value=ahkl, vary=False), + bhkl=Parameter("bhkl", value=bhkl, vary=False), + ldahkl=ldahkl_init, + sigma=sigma_init, + tau=tau_init, + ) + + ldahkl = _result.params["ldahkl"].value + ldahkl_error = _result.params["ldahkl"].stderr + sigma = _result.params["sigma"].value + sigma_error = _result.params["sigma"].stderr + tau = _result.params["tau"].value + tau_error = _result.params["tau"].stderr + + yaxis_fitted = kropff_bragg_peak_tof(self.xaxis_to_fit, a0, b0, ahkl, bhkl, ldahkl, sigma, tau) + + result_dict = { + "ldahkl": ldahkl, + "ldahkl_error": ldahkl_error, + "sigma": sigma, + "sigma_error": sigma_error, + "tau": tau, + "tau_error": tau_error, + "xaxis_to_fit": lda, + "yaxis_fitted": yaxis_fitted, + } + + self.parent.fitting_input_dictionary["rois"][_row]["fitting"]["kropff"]["bragg_peak"] = deepcopy( + result_dict + ) if update_table_ui: - o_gui.update_kropff_bragg_edge_table_ui(row=_row, - ldahkl=ldahkl, - ldahkl_error=ldahkl_error, - tau=tau, - tau_error=tau_error, - sigma=sigma, - sigma_error=sigma_error) + o_gui.update_kropff_bragg_edge_table_ui( + row=_row, + ldahkl=ldahkl, + ldahkl_error=ldahkl_error, + tau=tau, + tau_error=tau_error, + sigma=sigma, + sigma_error=sigma_error, + ) diff --git a/notebooks/__code/bragg_edge/peak_fitting_evaluation/march_dollase.py b/notebooks/__code/bragg_edge/peak_fitting_evaluation/march_dollase.py index 92e43466..206118b9 100755 --- a/notebooks/__code/bragg_edge/peak_fitting_evaluation/march_dollase.py +++ b/notebooks/__code/bragg_edge/peak_fitting_evaluation/march_dollase.py @@ -1,23 +1,37 @@ -from qtpy import QtGui +import logging +import os +from pathlib import Path + import numpy as np import pyqtgraph as pg +from qtpy import QtGui from qtpy.QtWidgets import QFileDialog, QMenu -from pathlib import Path -import os -import logging -from __code.table_handler import TableHandler from __code.bragg_edge.bragg_edge_peak_fitting_gui_utility import GuiUtility from __code.bragg_edge.get import Get from __code.bragg_edge.peak_fitting_evaluation.get import Get as GetPeakFitting -from __code.utilities import find_nearest_index from __code.file_handler import make_ascii_file +from __code.table_handler import TableHandler +from __code.utilities import find_nearest_index class MarchDollase: - list_columns = ['d_spacing', 'sigma', 'alpha', 'a1', 'a2', 'a5', 'a6', - 'd_spacing_error', 'sigma_error', 'alpha_error', - 'a1_error', 'a2_error', 'a5_error', 'a6_error'] + list_columns = [ + "d_spacing", + "sigma", + "alpha", + "a1", + "a2", + "a5", + "a6", + "d_spacing_error", + "sigma_error", + "alpha_error", + "a1_error", + "a2_error", + "a5_error", + "a6_error", + ] def __init__(self, parent=None): self.parent = parent @@ -40,17 +54,16 @@ def reset_history_table(self): def fill_table_with_minimum_contain(self): fitting_input_dictionary = self.parent.fitting_input_dictionary - rois = fitting_input_dictionary['rois'] + rois = fitting_input_dictionary["rois"] o_table = TableHandler(table_ui=self.result_table_ui) nbr_column = o_table.table_ui.columnCount() other_column_name = ["N/A" for _ in np.arange(nbr_column)] for _row, _roi in enumerate(rois.keys()): _roi_key = rois[_roi] - list_col_name = "{}; {}; {}; {}".format(_roi_key['x0'], - _roi_key['y0'], - _roi_key['width'], - _roi_key['height']) + list_col_name = "{}; {}; {}; {}".format( + _roi_key["x0"], _roi_key["y0"], _roi_key["width"], _roi_key["height"] + ) col_name = [list_col_name] + other_column_name o_table.insert_row(_row, col_name) @@ -94,8 +107,10 @@ def move_table_row(self, to_row_offset=-1): self.parent.march_dollase_fitting_history_table = march_dollase_fitting_history_table o_gui = GuiUtility(parent=self.parent) - o_gui.fill_march_dollase_table(list_state=self.parent.march_dollase_fitting_history_table, - list_initial_parameters=self.parent.march_dollase_fitting_initial_parameters) + o_gui.fill_march_dollase_table( + list_state=self.parent.march_dollase_fitting_history_table, + list_initial_parameters=self.parent.march_dollase_fitting_initial_parameters, + ) # keep current selection on new row o_table = TableHandler(table_ui=self.parent.march_dollase_user_input_table) @@ -193,13 +208,17 @@ def delete_row(self): def full_reset(self): march_dollase_history_state = self.parent.march_dollase_history_state_full_reset o_gui = GuiUtility(parent=self.parent) - o_gui.fill_march_dollase_table(list_state=march_dollase_history_state, - initial_parameters=self.parent.march_dollase_fitting_initial_parameters) + o_gui.fill_march_dollase_table( + list_state=march_dollase_history_state, + initial_parameters=self.parent.march_dollase_fitting_initial_parameters, + ) def update_table_after_changing_row(self, changing_row=-1): o_gui = GuiUtility(parent=self.parent) - o_gui.fill_march_dollase_table(list_state=self.parent.march_dollase_fitting_history_table, - initial_parameters=self.parent.march_dollase_fitting_initial_parameters) + o_gui.fill_march_dollase_table( + list_state=self.parent.march_dollase_fitting_history_table, + initial_parameters=self.parent.march_dollase_fitting_initial_parameters, + ) # keep current selection on new row o_table = TableHandler(table_ui=self.parent.march_dollase_user_input_table) @@ -209,12 +228,12 @@ def update_table_after_changing_row(self, changing_row=-1): def advanced_mode_clicked(self): hide_advanced = not self.parent.ui.march_dollase_advanced_mode_checkBox.isChecked() o_gui = GuiUtility(parent=self.parent) - o_gui.set_columns_hidden(table_ui=self.parent.ui.march_dollase_user_input_table, - list_of_columns=[5, 6], - state=hide_advanced) - o_gui.set_columns_hidden(table_ui=self.parent.ui.march_dollase_result_table, - list_of_columns=[6, 7, 13, 14], - state=hide_advanced) + o_gui.set_columns_hidden( + table_ui=self.parent.ui.march_dollase_user_input_table, list_of_columns=[5, 6], state=hide_advanced + ) + o_gui.set_columns_hidden( + table_ui=self.parent.ui.march_dollase_result_table, list_of_columns=[6, 7, 13, 14], state=hide_advanced + ) def update_fitting_plot(self): self.parent.ui.fitting.clear() @@ -234,11 +253,16 @@ def update_fitting_plot(self): for row_selected in list_row_selected: yaxis = o_get.y_axis_data_of_selected_row(row_selected=row_selected) - self.parent.ui.fitting.plot(xaxis, yaxis, - pen=(self.parent.selection_roi_rgb[0], - self.parent.selection_roi_rgb[1], - self.parent.selection_roi_rgb[2]), - symbol='o') + self.parent.ui.fitting.plot( + xaxis, + yaxis, + pen=( + self.parent.selection_roi_rgb[0], + self.parent.selection_roi_rgb[1], + self.parent.selection_roi_rgb[2], + ), + symbol="o", + ) self.parent.ui.fitting.setLabel("bottom", xaxis_label) self.parent.ui.fitting.setLabel("left", "Average transmission") @@ -252,13 +276,12 @@ def update_fitting_plot(self): if self.parent.march_dollase_fitting_peak_ui: self.parent.ui.fitting.removeItem(self.parent.march_dollase_fitting_peak_ui) - self.parent.march_dollase_fitting_peak_ui = pg.LinearRegionItem(values=local_peak_range, - orientation='vertical', - brush=None, - movable=move_bragg_peak_range, - bounds=None) + self.parent.march_dollase_fitting_peak_ui = pg.LinearRegionItem( + values=local_peak_range, orientation="vertical", brush=None, movable=move_bragg_peak_range, bounds=None + ) self.parent.march_dollase_fitting_peak_ui.sigRegionChanged.connect( - self.parent.march_dollase_fitting_range_changed) + self.parent.march_dollase_fitting_range_changed + ) self.parent.march_dollase_fitting_peak_ui.setZValue(-10) self.parent.ui.fitting.addItem(self.parent.march_dollase_fitting_peak_ui) @@ -297,21 +320,23 @@ def fill_tables_with_fitting_information(self): def fill_result_table_with_fitting_information(self): fitting_input_dictionary = self.parent.fitting_input_dictionary - march_data = fitting_input_dictionary['rois'] + march_data = fitting_input_dictionary["rois"] list_columns = self.parent.march_dollase_list_columns for _row in march_data.keys(): - _march_entry = march_data[_row]['fitting']['march_dollase'] + _march_entry = march_data[_row]["fitting"]["march_dollase"] for _col, _col_name in enumerate(list_columns): _arg_value = _march_entry.get(_col_name) - if not(_arg_value is None): - self.result_table_ui.item(_row, _col + 1).setText("{:4.2f}".format(_arg_value)) + if _arg_value is not None: + self.result_table_ui.item(_row, _col + 1).setText(f"{_arg_value:4.2f}") def fill_history_table_with_fitting_information(self): o_gui = GuiUtility(parent=self.parent) - o_gui.fill_march_dollase_table(list_state=self.parent.march_dollase_fitting_history_table, - initial_parameters=self.parent.march_dollase_fitting_initial_parameters) + o_gui.fill_march_dollase_table( + list_state=self.parent.march_dollase_fitting_history_table, + initial_parameters=self.parent.march_dollase_fitting_initial_parameters, + ) def get_initial_parameter_value(self, column=-1): name = self.parent.march_dollase_list_columns[column] @@ -324,11 +349,11 @@ def update_roi_labels(self): o_get = Get(parent=self.parent) x_axis_selected = o_get.x_axis_checked() - xaxis_dict = self.parent.fitting_input_dictionary['xaxis'] + xaxis_dict = self.parent.fitting_input_dictionary["xaxis"] xaxis_index, _ = xaxis_dict[x_axis_selected] [left_xaxis_index, right_xaxis_index] = [global_left_range, global_right_range] - xaxis = xaxis_index[left_xaxis_index: right_xaxis_index] + xaxis = xaxis_index[left_xaxis_index:right_xaxis_index] left_index = find_nearest_index(array=xaxis, value=left_range) right_index = find_nearest_index(array=xaxis, value=right_range) @@ -336,13 +361,14 @@ def update_roi_labels(self): self.parent.march_dollase_fitting_range_selected = [left_index, right_index] logging.info(f"-> march_dollase_fitting_range_selected: {self.parent.march_dollase_fitting_range_selected}") - xaxis_in_selected_axis = self.parent.fitting_input_dictionary['xaxis'][x_axis_selected][0][ - global_left_range: global_right_range] + xaxis_in_selected_axis = self.parent.fitting_input_dictionary["xaxis"][x_axis_selected][0][ + global_left_range:global_right_range + ] real_left_value = xaxis_in_selected_axis[left_index] real_right_value = xaxis_in_selected_axis[right_index] - if x_axis_selected == 'lambda': + if x_axis_selected == "lambda": str_format = "{:02f}" - elif x_axis_selected == 'tof': + elif x_axis_selected == "tof": str_format = "{:04.2f}" else: str_format = "{}" @@ -364,12 +390,11 @@ def result_table_right_click(self): self.export_data_of_selected_rows() def export_data_of_selected_rows(self): - base_folder = Path(self.parent.working_dir) directory = str(base_folder.parent) - _export_folder = QFileDialog.getExistingDirectory(self.parent, - directory=directory, - caption="Select Output Folder") + _export_folder = QFileDialog.getExistingDirectory( + self.parent, directory=directory, caption="Select Output Folder" + ) if _export_folder: o_table = TableHandler(table_ui=self.parent.ui.march_dollase_result_table) @@ -377,42 +402,45 @@ def export_data_of_selected_rows(self): str_list_of_rows_selected = [str(_row) for _row in list_of_rows_selected] str_rows = "_".join(str_list_of_rows_selected) - output_file_name = os.path.join(str(_export_folder), "march_dollase_result_fitting_row{}.txt".format( - str_rows)) + output_file_name = os.path.join(str(_export_folder), f"march_dollase_result_fitting_row{str_rows}.txt") fitting_input_dictionary = self.parent.fitting_input_dictionary o_get = Get(parent=self.parent) - xaxis_index = o_get.x_axis_data(x_axis_selected='index') - xaxis_tof = o_get.x_axis_data(x_axis_selected='tof') - xaxis_lambda = o_get.x_axis_data(x_axis_selected='lambda') + xaxis_index = o_get.x_axis_data(x_axis_selected="index") + xaxis_tof = o_get.x_axis_data(x_axis_selected="tof") + xaxis_lambda = o_get.x_axis_data(x_axis_selected="lambda") # metadata metadata = ["#Marche Dollase Result of Fitting"] is_advance_mode = self.parent.ui.march_dollase_advanced_mode_checkBox.isChecked() - metadata.append("#Using advanced fitting mode: {}".format(is_advance_mode)) + metadata.append(f"#Using advanced fitting mode: {is_advance_mode}") data_label = "#image index, TOF(micros), Lambda(Angstroms)" temp_data = [] for _row in list_of_rows_selected: - _entry = fitting_input_dictionary['rois'][_row]['fitting']['march_dollase'] - _top_entry = fitting_input_dictionary['rois'][_row] - _line = "#-> row {}: x0: {}, y0:{}, width:{}, height:{}, " \ - "d_spacing:{}, sigma:{}, alpha:{}, a1:{}, " \ - "a2:{}".format(_row, - _top_entry['x0'], - _top_entry['y0'], - _top_entry['width'], - _top_entry['height'], - _entry['d_spacing'], - _entry['sigma'], - _entry['alpha'], - _entry['a1'], - _entry['a2']) + _entry = fitting_input_dictionary["rois"][_row]["fitting"]["march_dollase"] + _top_entry = fitting_input_dictionary["rois"][_row] + _line = ( + "#-> row {}: x0: {}, y0:{}, width:{}, height:{}, " + "d_spacing:{}, sigma:{}, alpha:{}, a1:{}, " + "a2:{}".format( + _row, + _top_entry["x0"], + _top_entry["y0"], + _top_entry["width"], + _top_entry["height"], + _entry["d_spacing"], + _entry["sigma"], + _entry["alpha"], + _entry["a1"], + _entry["a2"], + ) + ) if is_advance_mode: - _line += ", a5:{}, a6:{}".format(_entry['a5'], _entry['a6']) + _line += ", a5:{}, a6:{}".format(_entry["a5"], _entry["a6"]) metadata.append(_line) - data_label += ", row {}".format(_row) + data_label += f", row {_row}" temp_data.append(o_get.y_axis_data_of_selected_row(row_selected=_row)) @@ -424,19 +452,14 @@ def export_data_of_selected_rows(self): self.parent.debug_data = temp_data for _index in np.arange(len(xaxis_index)): - str_data = "{}, {}, {}".format(xaxis_index[_index], - xaxis_tof[_index], - xaxis_lambda[_index]) + str_data = f"{xaxis_index[_index]}, {xaxis_tof[_index]}, {xaxis_lambda[_index]}" for _col_index in np.arange(len(list_of_rows_selected)): - str_data += ", {}".format(temp_data[_col_index][_index]) + str_data += f", {temp_data[_col_index][_index]}" data.append(str_data) - make_ascii_file(metadata=metadata, - data=data, - output_file_name=output_file_name, - dim='1d') + make_ascii_file(metadata=metadata, data=data, output_file_name=output_file_name, dim="1d") - message = "{} has been created!".format(output_file_name) + message = f"{output_file_name} has been created!" self.parent.ui.statusbar.showMessage(message, 10000) # 10s def fitting_item_to_plot_changed(self): @@ -444,13 +467,13 @@ def fitting_item_to_plot_changed(self): item_to_plot = o_get.march_dollase_result_fitting_item_selected() fitting_input_dictionary = self.parent.fitting_input_dictionary - march_data = fitting_input_dictionary['rois'] + march_data = fitting_input_dictionary["rois"] array_to_plot = [] for _roi in march_data.keys(): - _value = march_data[_roi]['fitting']['march_dollase'][item_to_plot] + _value = march_data[_roi]["fitting"]["march_dollase"][item_to_plot] array_to_plot.append(_value) self.parent.march_dollase_plot.axes.cla() - self.parent.march_dollase_plot.axes.plot(array_to_plot, '*') + self.parent.march_dollase_plot.axes.plot(array_to_plot, "*") self.parent.march_dollase_plot.draw() diff --git a/notebooks/__code/bragg_edge/peak_fitting_evaluation/march_dollase_fitting_job_handler.py b/notebooks/__code/bragg_edge/peak_fitting_evaluation/march_dollase_fitting_job_handler.py index 1272314e..cc1598ac 100755 --- a/notebooks/__code/bragg_edge/peak_fitting_evaluation/march_dollase_fitting_job_handler.py +++ b/notebooks/__code/bragg_edge/peak_fitting_evaluation/march_dollase_fitting_job_handler.py @@ -1,15 +1,15 @@ -from lmfit import Model +import logging + import numpy as np +from lmfit import Model from qtpy.QtWidgets import QApplication -import logging -from __code.bragg_edge.fitting_functions import march_dollase_basic_fit, march_dollase_advanced_fit +from __code.bragg_edge.fitting_functions import march_dollase_advanced_fit, march_dollase_basic_fit from __code.bragg_edge.get import Get from __code.bragg_edge.peak_fitting_evaluation.march_dollase import MarchDollase class MarchDollaseFittingJobHandler: - def __init__(self, parent=None): self.parent = parent @@ -21,13 +21,13 @@ def is_advanced_mode(self): def initialize_d_spacing(self): d_spacing = self.get_d_spacing() - self.parent.march_dollase_fitting_initial_parameters['d_spacing'] = d_spacing + self.parent.march_dollase_fitting_initial_parameters["d_spacing"] = d_spacing def initialize_fitting_input_dictionary(self): """ This method uses the first row of the history to figure out which parameter need to be initialized """ - logging.info(f"in initialize_fitting_input_dictionary") + logging.info("in initialize_fitting_input_dictionary") nbr_column = self.parent.ui.march_dollase_user_input_table.columnCount() list_name_of_parameters = [] @@ -36,30 +36,30 @@ def initialize_fitting_input_dictionary(self): list_name_of_parameters.append(_item) march_dollase_fitting_history_table = self.parent.march_dollase_fitting_history_table - [d_spacing_flag, sigma_flag, alpha_flag, a1_flag, a2_flag, a5_flag, a6_flag] = \ + [d_spacing_flag, sigma_flag, alpha_flag, a1_flag, a2_flag, a5_flag, a6_flag] = ( march_dollase_fitting_history_table[0] + ) d_spacing = self.get_d_spacing() sigma = self.get_sigma() alpha = self.get_alpha() - self.parent.march_dollase_fitting_initial_parameters['d_spacing'] = d_spacing + self.parent.march_dollase_fitting_initial_parameters["d_spacing"] = d_spacing fitting_input_dictionary = self.parent.fitting_input_dictionary logging.info(f"fitting_input_dictionary['rois'].keys(): {fitting_input_dictionary['rois'].keys()}") - for _row in fitting_input_dictionary['rois'].keys(): - + for _row in fitting_input_dictionary["rois"].keys(): logging.info(f"in _row: {_row}") if not d_spacing_flag: - fitting_input_dictionary['rois'][_row]['fitting']['march_dollase']['d_spacing'] = d_spacing + fitting_input_dictionary["rois"][_row]["fitting"]["march_dollase"]["d_spacing"] = d_spacing if not sigma_flag: - fitting_input_dictionary['rois'][_row]['fitting']['march_dollase']['sigma'] = sigma + fitting_input_dictionary["rois"][_row]["fitting"]["march_dollase"]["sigma"] = sigma if not alpha_flag: - fitting_input_dictionary['rois'][_row]['fitting']['march_dollase']['alpha'] = alpha + fitting_input_dictionary["rois"][_row]["fitting"]["march_dollase"]["alpha"] = alpha # {'left_part': {'lambda_x_axis': [], # 'y_axis': [], @@ -74,46 +74,46 @@ def initialize_fitting_input_dictionary(self): self.left_center_right_axis = self.isolate_left_center_right_axis(row=_row) logging.info(f"self.left_center_right_axis: {self.left_center_right_axis}") if self.is_advanced_mode(): - a2 = self.get_a2(advanced_mode=self.is_advanced_mode()) - fitting_input_dictionary['rois'][_row]['fitting']['march_dollase']['a2'] = a2 + fitting_input_dictionary["rois"][_row]["fitting"]["march_dollase"]["a2"] = a2 a5 = self.get_a5() - fitting_input_dictionary['rois'][_row]['fitting']['march_dollase']['a5'] = a5 + fitting_input_dictionary["rois"][_row]["fitting"]["march_dollase"]["a5"] = a5 a6 = self.get_a6() - fitting_input_dictionary['rois'][_row]['fitting']['march_dollase']['a6'] = a6 + fitting_input_dictionary["rois"][_row]["fitting"]["march_dollase"]["a6"] = a6 a1 = self.get_a1(advanced_mode=self.is_advanced_mode()) - fitting_input_dictionary['rois'][_row]['fitting']['march_dollase']['a1'] = a1 + fitting_input_dictionary["rois"][_row]["fitting"]["march_dollase"]["a1"] = a1 else: a1 = self.get_a1(advanced_mode=self.is_advanced_mode()) - fitting_input_dictionary['rois'][_row]['fitting']['march_dollase']['a1'] = a1 + fitting_input_dictionary["rois"][_row]["fitting"]["march_dollase"]["a1"] = a1 a2 = self.get_a2(advanced_mode=self.is_advanced_mode()) - fitting_input_dictionary['rois'][_row]['fitting']['march_dollase']['a2'] = a2 + fitting_input_dictionary["rois"][_row]["fitting"]["march_dollase"]["a2"] = a2 def isolate_left_center_right_axis(self, row=-1): - bragg_edge_range = self.parent.fitting_input_dictionary['bragg_edge_range'] - [global_left_index, global_right_index] = [int(bragg_edge_range[0]), - int(bragg_edge_range[1])] + bragg_edge_range = self.parent.fitting_input_dictionary["bragg_edge_range"] + [global_left_index, global_right_index] = [int(bragg_edge_range[0]), int(bragg_edge_range[1])] # get full x-axis (lambda) - full_lambda_x_axis = self.parent.fitting_input_dictionary['xaxis']['lambda'][0] - lambda_x_axis = full_lambda_x_axis[global_left_index: global_right_index] + full_lambda_x_axis = self.parent.fitting_input_dictionary["xaxis"]["lambda"][0] + lambda_x_axis = full_lambda_x_axis[global_left_index:global_right_index] # get full y_axis (average transmission) - full_y_axis = self.parent.fitting_input_dictionary['rois'][row]['profile'] - y_axis = full_y_axis[global_left_index: global_right_index] + full_y_axis = self.parent.fitting_input_dictionary["rois"][row]["profile"] + y_axis = full_y_axis[global_left_index:global_right_index] [left_index, right_index] = self.parent.march_dollase_fitting_range_selected - return {'left_part' : {'lambda_x_axis': lambda_x_axis[0: left_index], - 'y_axis' : y_axis[0: left_index]}, - 'center_part': {'lambda_x_axis': lambda_x_axis[left_index: right_index], - 'y_axis' : y_axis[left_index: right_index]}, - 'right_part' : {'lambda_x_axis': lambda_x_axis[right_index:], - 'y_axis' : y_axis[right_index:]}} + return { + "left_part": {"lambda_x_axis": lambda_x_axis[0:left_index], "y_axis": y_axis[0:left_index]}, + "center_part": { + "lambda_x_axis": lambda_x_axis[left_index:right_index], + "y_axis": y_axis[left_index:right_index], + }, + "right_part": {"lambda_x_axis": lambda_x_axis[right_index:], "y_axis": y_axis[right_index:]}, + } def get_a1(self, advanced_mode=True): logging.info(f"getting a1 in advanced_mode={advanced_mode}") @@ -125,7 +125,7 @@ def get_a1(self, advanced_mode=True): else: all_fitting_axis_dictionary = self.left_center_right_axis logging.info(f"all_fitting_axis_dictionary: {all_fitting_axis_dictionary}") - y_axis = all_fitting_axis_dictionary['left_part']['y_axis'] + y_axis = all_fitting_axis_dictionary["left_part"]["y_axis"] logging.info(f"y_axis: {y_axis}") a1 = np.mean(y_axis) logging.info(f"a1: {a1}") @@ -136,8 +136,8 @@ def get_a2(self, advanced_mode=True): logging.info(f"getting a2 in advanced_mode:{advanced_mode}") all_fitting_axis_dictionary = self.left_center_right_axis if advanced_mode: - x_axis = all_fitting_axis_dictionary['left_part']['lambda_x_axis'] - y_axis = all_fitting_axis_dictionary['left_part']['y_axis'] + x_axis = all_fitting_axis_dictionary["left_part"]["lambda_x_axis"] + y_axis = all_fitting_axis_dictionary["left_part"]["y_axis"] [slope, interception] = np.polyfit(x_axis, y_axis, 1) @@ -154,7 +154,7 @@ def get_a2(self, advanced_mode=True): a1 = self.a1 logging.info(f"self.a1 = {self.a1}") _mean_left_part_side = a1 - y_axis = all_fitting_axis_dictionary['right_part']['y_axis'] + y_axis = all_fitting_axis_dictionary["right_part"]["y_axis"] logging.info(f"y_axis: {y_axis}") _mean_right_part_side = np.mean(y_axis) logging.info(f"_mean_right_part_size: {_mean_right_part_side}") @@ -165,8 +165,8 @@ def get_a2(self, advanced_mode=True): def get_a5(self): all_fitting_axis_dictionary = self.left_center_right_axis - x_axis = all_fitting_axis_dictionary['right_part']['lambda_x_axis'] - y_axis = all_fitting_axis_dictionary['right_part']['y_axis'] + x_axis = all_fitting_axis_dictionary["right_part"]["lambda_x_axis"] + y_axis = all_fitting_axis_dictionary["right_part"]["y_axis"] [slope, _] = np.polyfit(x_axis, y_axis) self.a5 = slope @@ -175,18 +175,18 @@ def get_a5(self): def get_a6(self): all_fitting_axis_dictionary = self.left_center_right_axis - x_axis = all_fitting_axis_dictionary['right_part']['lambda_x_axis'] - y_axis = all_fitting_axis_dictionary['right_part']['y_axis'] + x_axis = all_fitting_axis_dictionary["right_part"]["lambda_x_axis"] + y_axis = all_fitting_axis_dictionary["right_part"]["y_axis"] - a6 = x_axis - (2. * y_axis) / (self.a5 - self.a2) + a6 = x_axis - (2.0 * y_axis) / (self.a5 - self.a2) self.a6 = a6 return a6 def get_sigma(self): - return self.parent.march_dollase_fitting_initial_parameters['sigma'] + return self.parent.march_dollase_fitting_initial_parameters["sigma"] def get_alpha(self): - return self.parent.march_dollase_fitting_initial_parameters['alpha'] + return self.parent.march_dollase_fitting_initial_parameters["alpha"] def get_d_spacing(self): """ @@ -194,7 +194,7 @@ def get_d_spacing(self): 2* d_spacing = lambda """ logging.info("> march_dollase_fitting_job_handler | get_d_spacing") - lambda_axis = self.parent.fitting_input_dictionary['xaxis']['lambda'] + lambda_axis = self.parent.fitting_input_dictionary["xaxis"]["lambda"] # logging.info(f"-> lambda_axis: {lambda_axis}") bragg_edge_range = self.parent.march_dollase_fitting_range_selected @@ -204,7 +204,7 @@ def get_d_spacing(self): to_lambda = float(lambda_axis[0][int(bragg_edge_range[1])]) average_lambda = np.mean([from_lambda, to_lambda]) - d_spacing = average_lambda / 2. + d_spacing = average_lambda / 2.0 return d_spacing @@ -218,24 +218,22 @@ def prepare(self): _is_advanced_mode = self.is_advanced_mode() if _is_advanced_mode: - gmodel = Model(march_dollase_advanced_fit, missing='drop') + gmodel = Model(march_dollase_advanced_fit, missing="drop") else: # gmodel = Model(march_dollase_basic_fit, missing='drop') - gmodel = Model(march_dollase_basic_fit, nan_policy='propagate') + gmodel = Model(march_dollase_basic_fit, nan_policy="propagate") # logging.info(f"-> advanced mode?: {_is_advanced_mode}") march_dollase_fitting_history_table = self.parent.march_dollase_fitting_history_table nbr_row_in_fitting_scenario = len(march_dollase_fitting_history_table) self.parent.ui.eventProgress.setValue(0) - nbr_roi_row = len(fitting_input_dictionary['rois'].keys()) + nbr_roi_row = len(fitting_input_dictionary["rois"].keys()) self.parent.ui.eventProgress.setMaximum(nbr_roi_row) self.parent.ui.eventProgress.setVisible(True) def set_params(params_object, name_of_parameter, dict_entry, parameter_flag): - params_object.add(name_of_parameter, - value=float(dict_entry[name_of_parameter]), - vary=parameter_flag) + params_object.add(name_of_parameter, value=float(dict_entry[name_of_parameter]), vary=parameter_flag) def record_result_into_dict(entry_dict, result_object, name_of_parameter, parameter_flag): # logging.info("-> Recording result of fitting into a dictionary:") @@ -252,10 +250,10 @@ def record_result_into_dict(entry_dict, result_object, name_of_parameter, parame for _roi_row in np.arange(nbr_roi_row): # logging.info(f"--> working on roi_row: {_roi_row}") - _entry = fitting_input_dictionary['rois'][_roi_row]['fitting']['march_dollase'] + _entry = fitting_input_dictionary["rois"][_roi_row]["fitting"]["march_dollase"] o_get = Get(parent=self.parent) - xaxis = o_get.x_axis_data(x_axis_selected='lambda') + xaxis = o_get.x_axis_data(x_axis_selected="lambda") yaxis = o_get.y_axis_data_of_selected_row(_roi_row) # logging.info(f"--> xaxis: {xaxis}") @@ -264,27 +262,25 @@ def record_result_into_dict(entry_dict, result_object, name_of_parameter, parame # for debugging only # REMOVE_ME if _roi_row == 0: import json + json_filename = "/Users/j35/Desktop/march_dollase_data.json" xaxis_float = [float(x) for x in xaxis] yaxis_float = [float(y) for y in yaxis] - dict = {'xaxis': list(xaxis_float), - 'yaxis': list(yaxis_float)} + dict = {"xaxis": list(xaxis_float), "yaxis": list(yaxis_float)} - dict['parameters'] = {} + dict["parameters"] = {} for _history_row, _row_entry in enumerate(march_dollase_fitting_history_table): - # logging.info(f"--> in _history_row: {_history_row}") - [d_spacing_flag, sigma_flag, alpha_flag, - a1_flag, a2_flag, a5_flag, a6_flag] = _row_entry + [d_spacing_flag, sigma_flag, alpha_flag, a1_flag, a2_flag, a5_flag, a6_flag] = _row_entry if _is_advanced_mode: - a5_flag = _entry['a5'] - a6_flag = _entry['a6'] + a5_flag = _entry["a5"] + a6_flag = _entry["a6"] - logging.info(f"---> Parameters pre-initialized:") + logging.info("---> Parameters pre-initialized:") if not d_spacing_flag: logging.info(f" d_spacing: {_entry['d_spacing']}") if not sigma_flag: @@ -294,39 +290,43 @@ def record_result_into_dict(entry_dict, result_object, name_of_parameter, parame if not a1_flag: logging.info(f" a1: {_entry['a1']}") if not a2_flag: - a2 = _entry['a2'] + a2 = _entry["a2"] if np.isnan(a2): a2 = self.get_a2(advanced_mode=_is_advanced_mode) - _entry['a2'] = a2 + _entry["a2"] = a2 params = gmodel.make_params() - set_params(params, 'd_spacing', _entry, d_spacing_flag) - set_params(params, 'sigma', _entry, sigma_flag) - set_params(params, 'alpha', _entry, alpha_flag) - set_params(params, 'a1', _entry, a1_flag) - set_params(params, 'a2', _entry, a2_flag) + set_params(params, "d_spacing", _entry, d_spacing_flag) + set_params(params, "sigma", _entry, sigma_flag) + set_params(params, "alpha", _entry, alpha_flag) + set_params(params, "a1", _entry, a1_flag) + set_params(params, "a2", _entry, a2_flag) if _is_advanced_mode: - set_params(params, 'a5', _entry, a5_flag) - set_params(params, 'a6', _entry, a6_flag) + set_params(params, "a5", _entry, a5_flag) + set_params(params, "a6", _entry, a6_flag) if _roi_row == 0: # for debugging only # REMOVE_ME - dict['parameters'][_history_row] = {'value': { - 'd_spacing': float(_entry['d_spacing']), - 'sigma': float(_entry['sigma']), - 'alpha': float(_entry['alpha']), - 'a1': float(_entry['a1']), - 'a2': float(_entry['a2'])}, - 'state': {'d_spacing': d_spacing_flag, - 'sigma': sigma_flag, - 'alpha': alpha_flag, - 'a1': a1_flag, - 'a2': a2_flag}, + dict["parameters"][_history_row] = { + "value": { + "d_spacing": float(_entry["d_spacing"]), + "sigma": float(_entry["sigma"]), + "alpha": float(_entry["alpha"]), + "a1": float(_entry["a1"]), + "a2": float(_entry["a2"]), + }, + "state": { + "d_spacing": d_spacing_flag, + "sigma": sigma_flag, + "alpha": alpha_flag, + "a1": a1_flag, + "a2": a2_flag, + }, } - with open(json_filename, 'w') as json_file: + with open(json_filename, "w") as json_file: json.dump(dict, json_file) # try: @@ -335,23 +335,23 @@ def record_result_into_dict(entry_dict, result_object, name_of_parameter, parame # print(f"we are having an error row:{_roi_row}") o_result = ResultValueError(result=result) - record_result_into_dict(_entry, o_result, 'd_spacing', d_spacing_flag) - record_result_into_dict(_entry, o_result, 'sigma', sigma_flag) - record_result_into_dict(_entry, o_result, 'alpha', alpha_flag) - record_result_into_dict(_entry, o_result, 'a1', a1_flag) - record_result_into_dict(_entry, o_result, 'a2', a2_flag) + record_result_into_dict(_entry, o_result, "d_spacing", d_spacing_flag) + record_result_into_dict(_entry, o_result, "sigma", sigma_flag) + record_result_into_dict(_entry, o_result, "alpha", alpha_flag) + record_result_into_dict(_entry, o_result, "a1", a1_flag) + record_result_into_dict(_entry, o_result, "a2", a2_flag) if _is_advanced_mode: - record_result_into_dict(_entry, o_result, 'a5', a5_flag) - record_result_into_dict(_entry, o_result, 'a6', a6_flag) + record_result_into_dict(_entry, o_result, "a5", a5_flag) + record_result_into_dict(_entry, o_result, "a6", a6_flag) - fitting_input_dictionary['rois'][_roi_row]['fitting']['march_dollase'] = _entry + fitting_input_dictionary["rois"][_roi_row]["fitting"]["march_dollase"] = _entry self.parent.ui.eventProgress.setValue(_roi_row + 1) QApplication.processEvents() self.parent.ui.eventProgress.setVisible(False) - self.parent.fitting_procedure_started['march-dollase'] = True + self.parent.fitting_procedure_started["march-dollase"] = True self.parent.fitting_input_dictionary = fitting_input_dictionary logging.info(f"fitting_input_dictionary: {fitting_input_dictionary}") @@ -361,12 +361,11 @@ def record_result_into_dict(entry_dict, result_object, name_of_parameter, parame o_march.fitting_item_to_plot_changed() -class ResultValueError(object): - +class ResultValueError: def __init__(self, result=None): self.result = result - def get_value_err(self, tag=''): + def get_value_err(self, tag=""): value = self.result.params[tag].value error = self.result.params[tag].stderr return [value, error] diff --git a/notebooks/__code/bragg_edge/peak_fitting_evaluation/peak_fitting_interface_initialization.py b/notebooks/__code/bragg_edge/peak_fitting_evaluation/peak_fitting_interface_initialization.py index 56bcd470..50495cc9 100755 --- a/notebooks/__code/bragg_edge/peak_fitting_evaluation/peak_fitting_interface_initialization.py +++ b/notebooks/__code/bragg_edge/peak_fitting_evaluation/peak_fitting_interface_initialization.py @@ -1,28 +1,27 @@ -import numpy as np -import matplotlib -import os import copy +import os -matplotlib.use('Qt5Agg') +import matplotlib +import numpy as np -from matplotlib.backends.backend_qt5agg import NavigationToolbar2QT as NavigationToolbar +matplotlib.use("Qt5Agg") -from qtpy.QtWidgets import QProgressBar, QVBoxLayout -from qtpy import QtGui import pyqtgraph as pg +from matplotlib.backends.backend_qt5agg import NavigationToolbar2QT as NavigationToolbar +from qtpy import QtGui +from qtpy.QtWidgets import QProgressBar, QVBoxLayout -from __code.table_handler import TableHandler -from __code.bragg_edge.mplcanvas import MplCanvas from __code.bragg_edge.bragg_edge_peak_fitting_gui_utility import GuiUtility +from __code.bragg_edge.mplcanvas import MplCanvas +from __code.table_handler import TableHandler class Initialization: - distance_detector_sample = 1300 # m detector_offset = 6500 # micros march_dollase_history_state = list() - march_dollase_history_init = [np.NaN, np.NaN] + march_dollase_history_init = [np.nan, np.nan] march_dollase_history_state.append([False, False, False, True, False, False, True]) march_dollase_history_state.append([False, False, False, False, True, True, False]) march_dollase_history_state.append([True, True, True, False, False, False, False]) @@ -30,7 +29,7 @@ class Initialization: march_dollase_history_state.append([True, True, True, False, False, False, False]) march_dollase_history_state.append([True, True, True, True, True, True, True]) - def __init__(self, parent=None, tab='all'): + def __init__(self, parent=None, tab="all"): self.parent = parent self.block_signals(True) @@ -39,7 +38,7 @@ def __init__(self, parent=None, tab='all'): self.matplotlib() self.tabs() - if tab == 'all': + if tab == "all": # self.normalize_images_by_white_beam() self.save_image_size() self.roi_setup() @@ -56,22 +55,21 @@ def __init__(self, parent=None, tab='all'): def normalize_images_by_white_beam(self): white_beam_ob = self.parent.o_bragg.white_beam_ob - list_data = self.parent.o_norm.data['sample']['data'] + list_data = self.parent.o_norm.data["sample"]["data"] for _index_data, _data in enumerate(list_data): normalized_data = _data / white_beam_ob - self.parent.o_norm.data['sample']['data'][_index_data] = normalized_data + self.parent.o_norm.data["sample"]["data"][_index_data] = normalized_data def block_signals(self, flag): - list_ui = [self.parent.ui.profile_of_bin_size_slider, - self.parent.ui.tab_algorithm] + list_ui = [self.parent.ui.profile_of_bin_size_slider, self.parent.ui.tab_algorithm] for _ui in list_ui: _ui.blockSignals(flag) def save_image_size(self): _image = self.parent.get_live_image() [height, width] = np.shape(_image) - self.parent.image_size['width'] = width - self.parent.image_size['height'] = height + self.parent.image_size["width"] = width + self.parent.image_size["height"] = height def statusbar(self): self.parent.eventProgress = QProgressBar(self.parent.ui.statusbar) @@ -97,7 +95,6 @@ def pyqtgraph_profile(self): self.parent.ui.profile_widget.setLayout(profile_layout) def matplotlib(self): - def _matplotlib(parent=None, widget=None): sc = MplCanvas(parent, width=5, height=4, dpi=100) # sc.axes.plot([0,1,2,3,4,5], [10, 1, 20 ,3, 40, 50]) @@ -108,15 +105,13 @@ def _matplotlib(parent=None, widget=None): widget.setLayout(layout) return sc - self.parent.kropff_high_plot = _matplotlib(parent=self.parent, - widget=self.parent.ui.high_widget) - self.parent.kropff_low_plot = _matplotlib(parent=self.parent, - widget=self.parent.ui.low_widget) - self.parent.kropff_bragg_peak_plot = _matplotlib(parent=self.parent, - widget=self.parent.ui.bragg_peak_widget) + self.parent.kropff_high_plot = _matplotlib(parent=self.parent, widget=self.parent.ui.high_widget) + self.parent.kropff_low_plot = _matplotlib(parent=self.parent, widget=self.parent.ui.low_widget) + self.parent.kropff_bragg_peak_plot = _matplotlib(parent=self.parent, widget=self.parent.ui.bragg_peak_widget) - self.parent.march_dollase_plot = _matplotlib(parent=self.parent, - widget=self.parent.ui.march_dollase_graph_widget) + self.parent.march_dollase_plot = _matplotlib( + parent=self.parent, widget=self.parent.ui.march_dollase_graph_widget + ) def tabs(self): self.parent.ui.tab_algorithm.setCurrentIndex(0) @@ -131,8 +126,7 @@ def pyqtgraph_fitting(self): def kropff_fitting_table(self): ## Kropff # high lambda - column_names = [u'x\u2080; y\u2080; width; height', u'a\u2080', u'b\u2080', u'a\u2080_error', - u'b\u2080_error'] + column_names = ["x\u2080; y\u2080; width; height", "a\u2080", "b\u2080", "a\u2080_error", "b\u2080_error"] column_sizes = [150, 100, 100, 100, 100] o_high = TableHandler(table_ui=self.parent.ui.high_lda_tableWidget) for _col_index, _col_name in enumerate(column_names): @@ -141,10 +135,7 @@ def kropff_fitting_table(self): o_high.set_column_sizes(column_sizes=column_sizes) # low lambda - column_names = [u'x\u2080; y\u2080; width; height', - u'a_hkl', u'b_hkl', - u'a_hkl_error', - u'b_hkl_error'] + column_names = ["x\u2080; y\u2080; width; height", "a_hkl", "b_hkl", "a_hkl_error", "b_hkl_error"] column_sizes = [150, 100, 100, 100, 100] o_low = TableHandler(table_ui=self.parent.ui.low_lda_tableWidget) for _col_index, _col_name in enumerate(column_names): @@ -153,8 +144,7 @@ def kropff_fitting_table(self): o_low.set_column_sizes(column_sizes=column_sizes) # bragg edge - column_names = ['x0; y0; width; height', 't_hkl', 'tau', 'sigma', - 't_hkl_error', 'tau_error', 'sigma_error'] + column_names = ["x0; y0; width; height", "t_hkl", "tau", "sigma", "t_hkl_error", "tau_error", "sigma_error"] column_sizes = [150, 100, 100, 100, 100, 100, 100] o_bragg = TableHandler(table_ui=self.parent.ui.bragg_edge_tableWidget) for _col_index, _col_name in enumerate(column_names): @@ -163,36 +153,45 @@ def kropff_fitting_table(self): o_bragg.set_column_sizes(column_sizes=column_sizes) def march_dollase(self): - self.parent.march_dollase_history_state_full_reset = copy.deepcopy(self.march_dollase_history_state) # init widgets _file_path = os.path.dirname(__file__) - up_arrow_file = os.path.abspath(os.path.join(_file_path, '../static/up_arrow_black.png')) + up_arrow_file = os.path.abspath(os.path.join(_file_path, "../static/up_arrow_black.png")) self.parent.ui.march_dollase_user_input_up.setIcon(QtGui.QIcon(up_arrow_file)) - down_arrow_file = os.path.abspath(os.path.join(_file_path, '../static/down_arrow_black.png')) + down_arrow_file = os.path.abspath(os.path.join(_file_path, "../static/down_arrow_black.png")) self.parent.ui.march_dollase_user_input_down.setIcon(QtGui.QIcon(down_arrow_file)) o_gui = GuiUtility(parent=self.parent) - o_gui.fill_march_dollase_table(list_state=self.march_dollase_history_state, - initial_parameters=self.parent.march_dollase_fitting_initial_parameters) + o_gui.fill_march_dollase_table( + list_state=self.march_dollase_history_state, + initial_parameters=self.parent.march_dollase_fitting_initial_parameters, + ) self.parent.march_dollase_fitting_history_table = self.march_dollase_history_state self.parent.march_dollase_fitting_history_table_default_new_row = copy.deepcopy( - self.march_dollase_history_state[0]) - - column_names = [u'x\u2080; y\u2080; width; height', - u'd_spacing', u'sigma', u'alpha', - u'A\u2081', u'A\u2082', - u'A\u2085', u'A\u2086', - u'd_spacing_error', u'sigma_error', u'alpha_error', - u'A\u2081_error', - u'A\u2082_error', - u'A\u2085_error', u'A\u2086_error', - ] - column_sizes = [150, 100, 100, 100, 100, 100, 100, 100, - 100, 100, 100, 100, 100, 100, 100] + self.march_dollase_history_state[0] + ) + + column_names = [ + "x\u2080; y\u2080; width; height", + "d_spacing", + "sigma", + "alpha", + "A\u2081", + "A\u2082", + "A\u2085", + "A\u2086", + "d_spacing_error", + "sigma_error", + "alpha_error", + "A\u2081_error", + "A\u2082_error", + "A\u2085_error", + "A\u2086_error", + ] + column_sizes = [150, 100, 100, 100, 100, 100, 100, 100, 100, 100, 100, 100, 100, 100, 100] o_march = TableHandler(table_ui=self.parent.ui.march_dollase_result_table) for _col_index, _col_name in enumerate(column_names): o_march.insert_column(_col_index) @@ -200,9 +199,9 @@ def march_dollase(self): o_march.set_column_sizes(column_sizes=column_sizes) state_advanced_columns = not self.parent.ui.march_dollase_advanced_mode_checkBox.isChecked() - o_gui.set_columns_hidden(table_ui=self.parent.ui.march_dollase_user_input_table, - list_of_columns=[5, 6], - state=state_advanced_columns) + o_gui.set_columns_hidden( + table_ui=self.parent.ui.march_dollase_user_input_table, list_of_columns=[5, 6], state=state_advanced_columns + ) # table self.parent.ui.march_dollase_user_input_table.verticalHeader().setVisible(True) @@ -211,29 +210,30 @@ def march_dollase(self): def labels(self): # labels - self.parent.ui.detector_offset_units.setText(u"\u03BCs") - self.parent.ui.selection_tof_radiobutton.setText(u"TOF (\u03BCs)") - self.parent.ui.fitting_tof_radiobutton.setText(u"TOF (\u03BCs)") - self.parent.ui.selection_lambda_radiobutton.setText(u"\u03BB (\u212B)") - self.parent.ui.fitting_lambda_radiobutton.setText(u"\u03BB (\u212B)") + self.parent.ui.detector_offset_units.setText("\u03bcs") + self.parent.ui.selection_tof_radiobutton.setText("TOF (\u03bcs)") + self.parent.ui.fitting_tof_radiobutton.setText("TOF (\u03bcs)") + self.parent.ui.selection_lambda_radiobutton.setText("\u03bb (\u212b)") + self.parent.ui.fitting_lambda_radiobutton.setText("\u03bb (\u212b)") def text_fields(self): self.parent.ui.distance_detector_sample.setText(str(self.distance_detector_sample)) self.parent.ui.detector_offset.setText(str(self.detector_offset)) - self.parent.ui.kropff_high_lda_a0_init.setText(str(self.parent.fitting_parameters_init['kropff']['a0'])) - self.parent.ui.kropff_high_lda_b0_init.setText(str(self.parent.fitting_parameters_init['kropff']['b0'])) - self.parent.ui.kropff_low_lda_ahkl_init.setText(str(self.parent.fitting_parameters_init['kropff']['ahkl'])) - self.parent.ui.kropff_low_lda_bhkl_init.setText(str(self.parent.fitting_parameters_init['kropff']['bhkl'])) - self.parent.ui.kropff_bragg_peak_ldahkl_init.setText(str(self.parent.fitting_parameters_init['kropff'][ - 'ldahkl'])) - self.parent.ui.kropff_bragg_peak_tau_init.setText(str(self.parent.fitting_parameters_init['kropff']['tau'])) + self.parent.ui.kropff_high_lda_a0_init.setText(str(self.parent.fitting_parameters_init["kropff"]["a0"])) + self.parent.ui.kropff_high_lda_b0_init.setText(str(self.parent.fitting_parameters_init["kropff"]["b0"])) + self.parent.ui.kropff_low_lda_ahkl_init.setText(str(self.parent.fitting_parameters_init["kropff"]["ahkl"])) + self.parent.ui.kropff_low_lda_bhkl_init.setText(str(self.parent.fitting_parameters_init["kropff"]["bhkl"])) + self.parent.ui.kropff_bragg_peak_ldahkl_init.setText( + str(self.parent.fitting_parameters_init["kropff"]["ldahkl"]) + ) + self.parent.ui.kropff_bragg_peak_tau_init.setText(str(self.parent.fitting_parameters_init["kropff"]["tau"])) # list_sigma = self.parent.fitting_parameters_init['kropff']['sigma'] # list_sigma = [str(_value) for _value in list_sigma] # str_list_sigma = ", ".join(list_sigma) # self.parent.ui.kropff_bragg_peak_sigma_init.setText(str_list_sigma) - kropff_list_sigma = self.parent.fitting_parameters_init['kropff']['sigma'] + kropff_list_sigma = self.parent.fitting_parameters_init["kropff"]["sigma"] str_kropff_list_sigma = [str(value) for value in kropff_list_sigma] self.parent.ui.kropff_bragg_peak_sigma_comboBox.addItems(str_kropff_list_sigma) @@ -241,7 +241,7 @@ def widgets(self): self.parent.ui.splitter.setSizes([500, 400]) self.parent.ui.roi_size_slider.setMinimum(1) - max_value = np.min([self.parent.image_size['width'], self.parent.image_size['height']]) + max_value = np.min([self.parent.image_size["width"], self.parent.image_size["height"]]) self.parent.ui.roi_size_slider.setMaximum(max_value) default_roi_size = int(max_value / 3) self.parent.ui.roi_size_slider.setValue(default_roi_size) @@ -253,18 +253,15 @@ def widgets(self): self.parent.ui.profile_of_bin_size_slider.setValue(default_roi_size) def roi_setup(self): - [x0, y0] = self.parent.roi_settings['position'] + [x0, y0] = self.parent.roi_settings["position"] self.parent.selection_x0y0 = [x0, y0] width = self.parent.ui.roi_size_slider.value() - self.parent.previous_roi_selection['width'] = width - self.parent.previous_roi_selection['height'] = width + self.parent.previous_roi_selection["width"] = width + self.parent.previous_roi_selection["height"] = width _pen = QtGui.QPen() - _pen.setColor(self.parent.roi_settings['color']) - _pen.setWidthF(self.parent.roi_settings['width']) - self.parent.roi_id = pg.ROI([x0, y0], - [width, width], - pen=_pen, - scaleSnap=True) + _pen.setColor(self.parent.roi_settings["color"]) + _pen.setWidthF(self.parent.roi_settings["width"]) + self.parent.roi_id = pg.ROI([x0, y0], [width, width], pen=_pen, scaleSnap=True) self.parent.ui.image_view.addItem(self.parent.roi_id) self.parent.roi_id.sigRegionChanged.connect(self.parent.roi_moved) @@ -276,5 +273,5 @@ def display(self, image=None): def _clean_image(self, image): _result_inf = np.where(np.isinf(image)) - image[_result_inf] = np.NaN + image[_result_inf] = np.nan return image diff --git a/notebooks/__code/bragg_edge/peak_fitting_initialization.py b/notebooks/__code/bragg_edge/peak_fitting_initialization.py index 3876664d..7d8d55a0 100755 --- a/notebooks/__code/bragg_edge/peak_fitting_initialization.py +++ b/notebooks/__code/bragg_edge/peak_fitting_initialization.py @@ -1,65 +1,71 @@ -import numpy as np from copy import deepcopy -KROPFF_HIGH = {'a0': None, 'b0': None, - 'a0_error': None, 'b0_error': None, - 'xaxis_to_fit': None, - 'yaxis_fitted': None} -KROPFF_LOW = {'ahkl': None, 'bhkl': None, - 'ahkl_error': None, 'bhkl_error': None, - 'xaxis_to_fit': None, - 'yaxis_fitted': None} -KROPFF_BRAGG_PEAK = {'ldahkl': None, - 'ldahkl_error': None, - 'tau': None, - 'tau_error': None, - 'sigma': None, - 'sigma_error': None} -MARCHE_DOLLASE = {'d_spacing': None, - 'd_spacing_error': None, - 'alpha': None, - 'alpha_error': None, - 'sigma': None, - 'sigma_error': None, - 'a1': None, - 'a1_error': None, - 'a2': None, - 'a2_error': None, - 'a5': None, - 'a5_error': None, - 'a6': None, - 'a6_error': None, - } +import numpy as np +KROPFF_HIGH = {"a0": None, "b0": None, "a0_error": None, "b0_error": None, "xaxis_to_fit": None, "yaxis_fitted": None} +KROPFF_LOW = { + "ahkl": None, + "bhkl": None, + "ahkl_error": None, + "bhkl_error": None, + "xaxis_to_fit": None, + "yaxis_fitted": None, +} +KROPFF_BRAGG_PEAK = { + "ldahkl": None, + "ldahkl_error": None, + "tau": None, + "tau_error": None, + "sigma": None, + "sigma_error": None, +} +MARCHE_DOLLASE = { + "d_spacing": None, + "d_spacing_error": None, + "alpha": None, + "alpha_error": None, + "sigma": None, + "sigma_error": None, + "a1": None, + "a1_error": None, + "a2": None, + "a2_error": None, + "a5": None, + "a5_error": None, + "a6": None, + "a6_error": None, +} -class PeakFittingInitialization: - def __init__(self, parent=None): - self.parent = parent - - def fitting_input_dictionary(self, nbr_rois=0): +class PeakFittingInitialization: + def __init__(self, parent=None): + self.parent = parent - fitting_input_dictionary = {'xaxis': {}, - 'rois': {}, - 'fit_infos': {}} + def fitting_input_dictionary(self, nbr_rois=0): + fitting_input_dictionary = {"xaxis": {}, "rois": {}, "fit_infos": {}} - for _roi_index in np.arange(nbr_rois): - _roi_dict = {'x0': None, 'y0': None, - 'width': None, 'height': None, - 'profile': None, - 'bragg_edge_range': None, # bragg peak range selected in first tab - 'fitting': {'kropff': {'high': deepcopy(KROPFF_HIGH), - 'low': deepcopy(KROPFF_LOW), - 'bragg_peak': deepcopy(KROPFF_BRAGG_PEAK), - }, - 'march_dollase': deepcopy(MARCHE_DOLLASE), - }, - } - fitting_input_dictionary['rois'][_roi_index] = deepcopy(_roi_dict) + for _roi_index in np.arange(nbr_rois): + _roi_dict = { + "x0": None, + "y0": None, + "width": None, + "height": None, + "profile": None, + "bragg_edge_range": None, # bragg peak range selected in first tab + "fitting": { + "kropff": { + "high": deepcopy(KROPFF_HIGH), + "low": deepcopy(KROPFF_LOW), + "bragg_peak": deepcopy(KROPFF_BRAGG_PEAK), + }, + "march_dollase": deepcopy(MARCHE_DOLLASE), + }, + } + fitting_input_dictionary["rois"][_roi_index] = deepcopy(_roi_dict) - return fitting_input_dictionary + return fitting_input_dictionary - def set_top_keys_values(self, dictionary=None, new_keys_values=None): - for _key in new_keys_values.keys(): - _value = new_keys_values[_key] - dictionary[_key] = _value + def set_top_keys_values(self, dictionary=None, new_keys_values=None): + for _key in new_keys_values.keys(): + _value = new_keys_values[_key] + dictionary[_key] = _value diff --git a/notebooks/__code/bragg_edge/peak_fitting_interface_initialization.py b/notebooks/__code/bragg_edge/peak_fitting_interface_initialization.py index 417fea7a..e750867a 100755 --- a/notebooks/__code/bragg_edge/peak_fitting_interface_initialization.py +++ b/notebooks/__code/bragg_edge/peak_fitting_interface_initialization.py @@ -1,29 +1,28 @@ -import numpy as np -import matplotlib -import os import copy +import os + +import matplotlib +import numpy as np -matplotlib.use('Qt5Agg') +matplotlib.use("Qt5Agg") +import pyqtgraph as pg from matplotlib.backends.backend_qt5agg import NavigationToolbar2QT as NavigationToolbar - -from qtpy.QtWidgets import QProgressBar, QVBoxLayout from qtpy import QtGui from qtpy.QtGui import QIcon -import pyqtgraph as pg +from qtpy.QtWidgets import QProgressBar, QVBoxLayout -from __code.table_handler import TableHandler -from __code.bragg_edge.mplcanvas import MplCanvas from __code.bragg_edge.bragg_edge_peak_fitting_gui_utility import GuiUtility +from __code.bragg_edge.mplcanvas import MplCanvas +from __code.table_handler import TableHandler class Initialization: - distance_detector_sample = 1300 # m detector_offset = 6500 # micros march_dollase_history_state = list() - march_dollase_history_init = [np.NaN, np.NaN] + march_dollase_history_init = [np.nan, np.nan] march_dollase_history_state.append([False, False, False, True, False, False, True]) march_dollase_history_state.append([False, False, False, False, True, True, False]) march_dollase_history_state.append([True, True, True, False, False, False, False]) @@ -31,7 +30,7 @@ class Initialization: march_dollase_history_state.append([True, True, True, False, False, False, False]) march_dollase_history_state.append([True, True, True, True, True, True, True]) - def __init__(self, parent=None, tab='all'): + def __init__(self, parent=None, tab="all"): self.parent = parent self.block_signals(True) @@ -39,7 +38,7 @@ def __init__(self, parent=None, tab='all'): self.pyqtgraph_profile() self.matplotlib() - if tab == 'all': + if tab == "all": # self.normalize_images_by_white_beam() self.save_image_size() self.roi_setup() @@ -56,10 +55,10 @@ def __init__(self, parent=None, tab='all'): def normalize_images_by_white_beam(self): white_beam_ob = self.parent.o_bragg.white_beam_ob - list_data = self.parent.o_norm.data['sample']['data'] + list_data = self.parent.o_norm.data["sample"]["data"] for _index_data, _data in enumerate(list_data): normalized_data = _data / white_beam_ob - self.parent.o_norm.data['sample']['data'][_index_data] = normalized_data + self.parent.o_norm.data["sample"]["data"][_index_data] = normalized_data def block_signals(self, flag): list_ui = [self.parent.ui.profile_of_bin_size_slider] @@ -69,8 +68,8 @@ def block_signals(self, flag): def save_image_size(self): _image = self.parent.get_live_image() [height, width] = np.shape(_image) - self.parent.image_size['width'] = width - self.parent.image_size['height'] = height + self.parent.image_size["width"] = width + self.parent.image_size["height"] = height def statusbar(self): self.parent.eventProgress = QProgressBar(self.parent.ui.statusbar) @@ -96,7 +95,6 @@ def pyqtgraph_profile(self): self.parent.ui.profile_widget.setLayout(profile_layout) def matplotlib(self): - def _matplotlib(parent=None, widget=None): sc = MplCanvas(parent, width=5, height=4, dpi=100) # sc.axes.plot([0,1,2,3,4,5], [10, 1, 20 ,3, 40, 50]) @@ -107,15 +105,13 @@ def _matplotlib(parent=None, widget=None): widget.setLayout(layout) return sc - self.parent.kropff_high_plot = _matplotlib(parent=self.parent, - widget=self.parent.ui.high_widget) - self.parent.kropff_low_plot = _matplotlib(parent=self.parent, - widget=self.parent.ui.low_widget) - self.parent.kropff_bragg_peak_plot = _matplotlib(parent=self.parent, - widget=self.parent.ui.bragg_peak_widget) + self.parent.kropff_high_plot = _matplotlib(parent=self.parent, widget=self.parent.ui.high_widget) + self.parent.kropff_low_plot = _matplotlib(parent=self.parent, widget=self.parent.ui.low_widget) + self.parent.kropff_bragg_peak_plot = _matplotlib(parent=self.parent, widget=self.parent.ui.bragg_peak_widget) - self.parent.march_dollase_plot = _matplotlib(parent=self.parent, - widget=self.parent.ui.march_dollase_graph_widget) + self.parent.march_dollase_plot = _matplotlib( + parent=self.parent, widget=self.parent.ui.march_dollase_graph_widget + ) def pyqtgraph_fitting(self): # fitting view @@ -127,8 +123,7 @@ def pyqtgraph_fitting(self): def kropff_fitting_table(self): ## Kropff # high lambda - column_names = [u'x\u2080; y\u2080; width; height', u'a\u2080', u'b\u2080', u'a\u2080_error', - u'b\u2080_error'] + column_names = ["x\u2080; y\u2080; width; height", "a\u2080", "b\u2080", "a\u2080_error", "b\u2080_error"] column_sizes = [150, 100, 100, 100, 100] o_high = TableHandler(table_ui=self.parent.ui.high_lda_tableWidget) for _col_index, _col_name in enumerate(column_names): @@ -137,10 +132,7 @@ def kropff_fitting_table(self): o_high.set_column_sizes(column_sizes=column_sizes) # low lambda - column_names = [u'x\u2080; y\u2080; width; height', - u'a_hkl', u'b_hkl', - u'a_hkl_error', - u'b_hkl_error'] + column_names = ["x\u2080; y\u2080; width; height", "a_hkl", "b_hkl", "a_hkl_error", "b_hkl_error"] column_sizes = [150, 100, 100, 100, 100] o_low = TableHandler(table_ui=self.parent.ui.low_lda_tableWidget) for _col_index, _col_name in enumerate(column_names): @@ -149,8 +141,7 @@ def kropff_fitting_table(self): o_low.set_column_sizes(column_sizes=column_sizes) # bragg edge - column_names = ['x0; y0; width; height', 't_hkl', 'tau', 'sigma', - 't_hkl_error', 'tau_error', 'sigma_error'] + column_names = ["x0; y0; width; height", "t_hkl", "tau", "sigma", "t_hkl_error", "tau_error", "sigma_error"] column_sizes = [150, 100, 100, 100, 100, 100, 100] o_bragg = TableHandler(table_ui=self.parent.ui.bragg_edge_tableWidget) for _col_index, _col_name in enumerate(column_names): @@ -159,36 +150,45 @@ def kropff_fitting_table(self): o_bragg.set_column_sizes(column_sizes=column_sizes) def march_dollase(self): - self.parent.march_dollase_history_state_full_reset = copy.deepcopy(self.march_dollase_history_state) # init widgets _file_path = os.path.dirname(__file__) - up_arrow_file = os.path.abspath(os.path.join(_file_path, '../static/up_arrow_black.png')) + up_arrow_file = os.path.abspath(os.path.join(_file_path, "../static/up_arrow_black.png")) self.parent.ui.march_dollase_user_input_up.setIcon(QIcon(up_arrow_file)) - down_arrow_file = os.path.abspath(os.path.join(_file_path, '../static/down_arrow_black.png')) + down_arrow_file = os.path.abspath(os.path.join(_file_path, "../static/down_arrow_black.png")) self.parent.ui.march_dollase_user_input_down.setIcon(QIcon(down_arrow_file)) o_gui = GuiUtility(parent=self.parent) - o_gui.fill_march_dollase_table(list_state=self.march_dollase_history_state, - initial_parameters=self.parent.march_dollase_fitting_initial_parameters) + o_gui.fill_march_dollase_table( + list_state=self.march_dollase_history_state, + initial_parameters=self.parent.march_dollase_fitting_initial_parameters, + ) self.parent.march_dollase_fitting_history_table = self.march_dollase_history_state self.parent.march_dollase_fitting_history_table_default_new_row = copy.deepcopy( - self.march_dollase_history_state[0]) - - column_names = [u'x\u2080; y\u2080; width; height', - u'd_spacing', u'sigma', u'alpha', - u'A\u2081', u'A\u2082', - u'A\u2085', u'A\u2086', - u'd_spacing_error', u'sigma_error', u'alpha_error', - u'A\u2081_error', - u'A\u2082_error', - u'A\u2085_error', u'A\u2086_error', - ] - column_sizes = [150, 100, 100, 100, 100, 100, 100, 100, - 100, 100, 100, 100, 100, 100, 100] + self.march_dollase_history_state[0] + ) + + column_names = [ + "x\u2080; y\u2080; width; height", + "d_spacing", + "sigma", + "alpha", + "A\u2081", + "A\u2082", + "A\u2085", + "A\u2086", + "d_spacing_error", + "sigma_error", + "alpha_error", + "A\u2081_error", + "A\u2082_error", + "A\u2085_error", + "A\u2086_error", + ] + column_sizes = [150, 100, 100, 100, 100, 100, 100, 100, 100, 100, 100, 100, 100, 100, 100] o_march = TableHandler(table_ui=self.parent.ui.march_dollase_result_table) for _col_index, _col_name in enumerate(column_names): o_march.insert_column(_col_index) @@ -196,9 +196,9 @@ def march_dollase(self): o_march.set_column_sizes(column_sizes=column_sizes) state_advanced_columns = not self.parent.ui.march_dollase_advanced_mode_checkBox.isChecked() - o_gui.set_columns_hidden(table_ui=self.parent.ui.march_dollase_user_input_table, - list_of_columns=[5, 6], - state=state_advanced_columns) + o_gui.set_columns_hidden( + table_ui=self.parent.ui.march_dollase_user_input_table, list_of_columns=[5, 6], state=state_advanced_columns + ) # table self.parent.ui.march_dollase_user_input_table.verticalHeader().setVisible(True) @@ -207,29 +207,30 @@ def march_dollase(self): def labels(self): # labels - self.parent.ui.detector_offset_units.setText(u"\u03BCs") - self.parent.ui.selection_tof_radiobutton.setText(u"TOF (\u03BCs)") - self.parent.ui.fitting_tof_radiobutton.setText(u"TOF (\u03BCs)") - self.parent.ui.selection_lambda_radiobutton.setText(u"\u03BB (\u212B)") - self.parent.ui.fitting_lambda_radiobutton.setText(u"\u03BB (\u212B)") + self.parent.ui.detector_offset_units.setText("\u03bcs") + self.parent.ui.selection_tof_radiobutton.setText("TOF (\u03bcs)") + self.parent.ui.fitting_tof_radiobutton.setText("TOF (\u03bcs)") + self.parent.ui.selection_lambda_radiobutton.setText("\u03bb (\u212b)") + self.parent.ui.fitting_lambda_radiobutton.setText("\u03bb (\u212b)") def text_fields(self): self.parent.ui.distance_detector_sample.setText(str(self.distance_detector_sample)) self.parent.ui.detector_offset.setText(str(self.detector_offset)) - self.parent.ui.kropff_high_lda_a0_init.setText(str(self.parent.fitting_parameters_init['kropff']['a0'])) - self.parent.ui.kropff_high_lda_b0_init.setText(str(self.parent.fitting_parameters_init['kropff']['b0'])) - self.parent.ui.kropff_low_lda_ahkl_init.setText(str(self.parent.fitting_parameters_init['kropff']['ahkl'])) - self.parent.ui.kropff_low_lda_bhkl_init.setText(str(self.parent.fitting_parameters_init['kropff']['bhkl'])) - self.parent.ui.kropff_bragg_peak_ldahkl_init.setText(str(self.parent.fitting_parameters_init['kropff'][ - 'ldahkl'])) - self.parent.ui.kropff_bragg_peak_tau_init.setText(str(self.parent.fitting_parameters_init['kropff']['tau'])) + self.parent.ui.kropff_high_lda_a0_init.setText(str(self.parent.fitting_parameters_init["kropff"]["a0"])) + self.parent.ui.kropff_high_lda_b0_init.setText(str(self.parent.fitting_parameters_init["kropff"]["b0"])) + self.parent.ui.kropff_low_lda_ahkl_init.setText(str(self.parent.fitting_parameters_init["kropff"]["ahkl"])) + self.parent.ui.kropff_low_lda_bhkl_init.setText(str(self.parent.fitting_parameters_init["kropff"]["bhkl"])) + self.parent.ui.kropff_bragg_peak_ldahkl_init.setText( + str(self.parent.fitting_parameters_init["kropff"]["ldahkl"]) + ) + self.parent.ui.kropff_bragg_peak_tau_init.setText(str(self.parent.fitting_parameters_init["kropff"]["tau"])) # list_sigma = self.parent.fitting_parameters_init['kropff']['sigma'] # list_sigma = [str(_value) for _value in list_sigma] # str_list_sigma = ", ".join(list_sigma) # self.parent.ui.kropff_bragg_peak_sigma_init.setText(str_list_sigma) - kropff_list_sigma = self.parent.fitting_parameters_init['kropff']['sigma'] + kropff_list_sigma = self.parent.fitting_parameters_init["kropff"]["sigma"] str_kropff_list_sigma = [str(value) for value in kropff_list_sigma] self.parent.ui.kropff_bragg_peak_sigma_comboBox.addItems(str_kropff_list_sigma) @@ -237,7 +238,7 @@ def widgets(self): self.parent.ui.splitter.setSizes([500, 400]) self.parent.ui.roi_size_slider.setMinimum(1) - max_value = np.min([self.parent.image_size['width'], self.parent.image_size['height']]) + max_value = np.min([self.parent.image_size["width"], self.parent.image_size["height"]]) self.parent.ui.roi_size_slider.setMaximum(max_value) default_roi_size = int(max_value / 3) self.parent.ui.roi_size_slider.setValue(default_roi_size) @@ -249,18 +250,15 @@ def widgets(self): self.parent.ui.profile_of_bin_size_slider.setValue(default_roi_size) def roi_setup(self): - [x0, y0] = self.parent.roi_settings['position'] + [x0, y0] = self.parent.roi_settings["position"] self.parent.selection_x0y0 = [x0, y0] width = self.parent.ui.roi_size_slider.value() - self.parent.previous_roi_selection['width'] = width - self.parent.previous_roi_selection['height'] = width + self.parent.previous_roi_selection["width"] = width + self.parent.previous_roi_selection["height"] = width _pen = QtGui.QPen() - _pen.setColor(self.parent.roi_settings['color']) - _pen.setWidthF(self.parent.roi_settings['width']) - self.parent.roi_id = pg.ROI([x0, y0], - [width, width], - pen=_pen, - scaleSnap=True) + _pen.setColor(self.parent.roi_settings["color"]) + _pen.setWidthF(self.parent.roi_settings["width"]) + self.parent.roi_id = pg.ROI([x0, y0], [width, width], pen=_pen, scaleSnap=True) self.parent.ui.image_view.addItem(self.parent.roi_id) self.parent.roi_id.sigRegionChanged.connect(self.parent.roi_moved) @@ -272,5 +270,5 @@ def display(self, image=None): def _clean_image(self, image): _result_inf = np.where(np.isinf(image)) - image[_result_inf] = np.NaN + image[_result_inf] = np.nan return image diff --git a/notebooks/__code/calculate_water_intake_profile.py b/notebooks/__code/calculate_water_intake_profile.py index 16fbe851..9722de51 100755 --- a/notebooks/__code/calculate_water_intake_profile.py +++ b/notebooks/__code/calculate_water_intake_profile.py @@ -1,31 +1,30 @@ -from IPython.display import HTML -from IPython.display import display -from ipywidgets import widgets -from ipywidgets.widgets import interact +import os +import re import matplotlib.pyplot as plt import numpy as np -import os -import re import pandas as pd +from IPython.display import HTML, display +from ipywidgets import widgets +from ipywidgets.widgets import interact -from __code.file_handler import make_ascii_file_from_string from __code import ipywe +from __code.file_handler import make_ascii_file_from_string -class CalculateWaterIntakeProfile(object): +class CalculateWaterIntakeProfile: files_data = [] files_metadata = [] - documentation_path = '__docs/calculate_water_intake_profile/water_intake_calculation.pdf' + documentation_path = "__docs/calculate_water_intake_profile/water_intake_calculation.pdf" - def __init__(self, working_dir='./'): + def __init__(self, working_dir="./"): self.working_dir = working_dir def select_counts_vs_time_files(self): - self.list_files_ui = ipywe.fileselector.FileSelectorPanel(instruction='Select Counts vs Time Files ...', - start_dir=self.working_dir, - multiple=True) + self.list_files_ui = ipywe.fileselector.FileSelectorPanel( + instruction="Select Counts vs Time Files ...", start_dir=self.working_dir, multiple=True + ) self.list_files_ui.show() @@ -43,15 +42,12 @@ def retrieve_metadata(self, file_name): m = re.match(r"^#(?P[,\(\)\s\w]*):(?P.*)", li) if m is None: continue - _metadata[m.group('tag_name')] = m.group('tag_value').strip() - _metadata['nbr_comment_line'] = _nbr_comment_line + _metadata[m.group("tag_name")] = m.group("tag_value").strip() + _metadata["nbr_comment_line"] = _nbr_comment_line return _metadata def retrieve_data(self, file_name, nbr_comment_line=0, col_names=None): - file_0 = pd.read_csv(file_name, - skiprows=nbr_comment_line, - header=None, - names=col_names) + file_0 = pd.read_csv(file_name, skiprows=nbr_comment_line, header=None, names=col_names) return file_0 def format_col_names(self, col_names): @@ -59,7 +55,6 @@ def format_col_names(self, col_names): return _col_names def retrieve_data_and_metadata(self): - self.list_files = self.list_files_ui.selected w = widgets.IntProgress() @@ -72,11 +67,9 @@ def retrieve_data_and_metadata(self): for index, file in enumerate(self.list_files): _metadata = self.retrieve_metadata(file) files_metadata[file] = _metadata - _col_names = _metadata['Label'].split(',') + _col_names = _metadata["Label"].split(",") _new_col_names = self.format_col_names(_col_names) - _data = self.retrieve_data(file, - nbr_comment_line=_metadata['nbr_comment_line'], - col_names=_new_col_names) + _data = self.retrieve_data(file, nbr_comment_line=_metadata["nbr_comment_line"], col_names=_new_col_names) files_data[file] = _data index += 1 @@ -88,14 +81,13 @@ def retrieve_data_and_metadata(self): w.close() def calculate_water_intake_peak(self): - pixel_index = self.files_data[self.list_files[0]] nbr_pixel = len(pixel_index) water_intake_peak = [] time_stamps = [] for _index, _file in enumerate(self.list_files): - counts = self.files_data[_file]['counts'].values + counts = self.files_data[_file]["counts"].values delta_array = [] for _pixel in range(0, nbr_pixel - 1): _o_range = MeanRangeCalculation(data=counts) @@ -103,16 +95,15 @@ def calculate_water_intake_peak(self): _o_range.calculate_delta_mean_square() delta_array.append(_o_range.delta_square) - time_stamps.append(self.files_metadata[_file]['Delta Time (s)']) + time_stamps.append(self.files_metadata[_file]["Delta Time (s)"]) - _peak_value = delta_array.index(max(delta_array[0:nbr_pixel - 5])) + _peak_value = delta_array.index(max(delta_array[0 : nbr_pixel - 5])) water_intake_peak.append(_peak_value) self.water_intake_peak = water_intake_peak self.time_stamps = time_stamps def display_water_intake_vs_profile(self): - self.retrieve_data_and_metadata() self.calculate_water_intake_peak() @@ -121,36 +112,31 @@ def display_water_intake_vs_profile(self): metadata = self.files_metadata def display_intake_vs_profile(file_index): - - plt.figure(figsize=(5,5)) + plt.figure(figsize=(5, 5)) ax_img = plt.subplot(111) _file = list_files[file_index] - _data = self.files_data[_file]['counts'].values + _data = self.files_data[_file]["counts"].values _peak = float(water_intake_peak[file_index]) _metadata = metadata[_file] - _rebin = float(_metadata['Rebin in y direction']) - _metadata_entry = _metadata['ROI selected (y0, x0, height, width)'] - m = re.match(r"\((?P\d*), (?P\d*), (?P\d*), (?P\d*)\)", - _metadata_entry) - y0 = float(m.group('y0')) - height = float(m.group('height')) + _rebin = float(_metadata["Rebin in y direction"]) + _metadata_entry = _metadata["ROI selected (y0, x0, height, width)"] + m = re.match(r"\((?P\d*), (?P\d*), (?P\d*), (?P\d*)\)", _metadata_entry) + y0 = float(m.group("y0")) + height = float(m.group("height")) _real_peak = (_peak + y0) * _rebin _real_axis = np.arange(y0, height, _rebin) - ax_img.plot(_real_axis, _data, '.') + ax_img.plot(_real_axis, _data, ".") plt.title(os.path.basename(_file)) - ax_img.axvline(x=_real_peak, color='r') + ax_img.axvline(x=_real_peak, color="r") - _ = interact(display_intake_vs_profile, - file_index=widgets.IntSlider(min=0, - max=len(list_files)-1, - value=0, - description='File Index')) + _ = interact( + display_intake_vs_profile, + file_index=widgets.IntSlider(min=0, max=len(list_files) - 1, value=0, description="File Index"), + ) def display_water_intake_peak_in_px(self): - - fig = plt.figure(figsize=(5, 5)) plt.plot(self.time_stamps, self.water_intake_peak) plt.xlabel("Delta Time (s)") @@ -158,18 +144,18 @@ def display_water_intake_peak_in_px(self): plt.title("Peak vs Delta Time (s)") def define_pixel_size(self): - - box = widgets.HBox([widgets.Label("Size/Pixel Ratio"), - widgets.FloatText(value=1, - step=0.1, - layout=widgets.Layout(width='10%')), - widgets.Label("mm/px")]) + box = widgets.HBox( + [ + widgets.Label("Size/Pixel Ratio"), + widgets.FloatText(value=1, step=0.1, layout=widgets.Layout(width="10%")), + widgets.Label("mm/px"), + ] + ) display(box) self.ratio_widget = box.children[1] def display_water_intake_peak_in_mm(self): - water_intake_peak_px = np.array(self.water_intake_peak) self.water_intake_peak_mm = water_intake_peak_px * self.ratio_widget.value @@ -180,35 +166,41 @@ def display_water_intake_peak_in_mm(self): plt.title("Peak vs Delta Time (s)") def select_output_folder(self): - self.output_folder_ui = ipywe.fileselector.FileSelectorPanel(instruction='Select Output Folder ...', - start_dir=self.working_dir, - type='directory') + self.output_folder_ui = ipywe.fileselector.FileSelectorPanel( + instruction="Select Output Folder ...", start_dir=self.working_dir, type="directory" + ) self.output_folder_ui.show() def export(self): - output_folder = os.path.abspath(self.output_folder_ui.selected) - short_file_name = os.path.basename(os.path.abspath(os.path.dirname(self.list_files[0]))) + '.txt' + short_file_name = os.path.basename(os.path.abspath(os.path.dirname(self.list_files[0]))) + ".txt" output_file_name = os.path.join(output_folder, short_file_name) - ascii_text = "# Source data: {}\n".format(os.path.basename(os.path.dirname(self.list_files[0]))) - ascii_text += '# time_stamp(s), water_intake_position (mm)\n' + ascii_text = f"# Source data: {os.path.basename(os.path.dirname(self.list_files[0]))}\n" + ascii_text += "# time_stamp(s), water_intake_position (mm)\n" for _index in range(len(self.time_stamps)): _x_value = self.time_stamps[_index] _y_value = self.water_intake_peak_mm[_index] - ascii_text += "{}, {}\n".format(_x_value, _y_value) + ascii_text += f"{_x_value}, {_y_value}\n" make_ascii_file_from_string(text=ascii_text, filename=output_file_name) - display(HTML('File created: ' + - os.path.basename(output_file_name) + '
' + - 'In folder: ' + os.path.dirname(output_file_name) + '')) + display( + HTML( + 'File created: ' + + os.path.basename(output_file_name) + + "
" + + "In folder: " + + os.path.dirname(output_file_name) + + "" + ) + ) -class MeanRangeCalculation(object): - ''' +class MeanRangeCalculation: + """ Mean value of all the counts between left_pixel and right pixel - ''' + """ def __init__(self, data=None): self.data = data @@ -218,8 +210,8 @@ def calculate_left_right_mean(self, pixel=-1): _data = self.data _nbr_pixel = self.nbr_pixel - self.left_mean = np.mean(_data[0:pixel+1]) - self.right_mean = np.mean(_data[pixel+1:_nbr_pixel]) + self.left_mean = np.mean(_data[0 : pixel + 1]) + self.right_mean = np.mean(_data[pixel + 1 : _nbr_pixel]) def calculate_delta_mean_square(self): - self.delta_square = np.square(self.left_mean - self.right_mean) \ No newline at end of file + self.delta_square = np.square(self.left_mean - self.right_mean) diff --git a/notebooks/__code/calibrated_transmission/calibrated_transmission.py b/notebooks/__code/calibrated_transmission/calibrated_transmission.py index 7fa5af3c..3ca58efb 100755 --- a/notebooks/__code/calibrated_transmission/calibrated_transmission.py +++ b/notebooks/__code/calibrated_transmission/calibrated_transmission.py @@ -1,25 +1,28 @@ -from IPython.display import HTML -from IPython.display import display +import copy +import os +import warnings import numpy as np -import os -import copy import pyqtgraph as pg - -from qtpy.QtWidgets import QFileDialog, QMainWindow,QVBoxLayout, QTableWidgetItem, QTableWidgetSelectionRange -from qtpy.QtWidgets import QApplication +from IPython.display import HTML, display from qtpy import QtCore +from qtpy.QtWidgets import ( + QApplication, + QFileDialog, + QMainWindow, + QTableWidgetItem, + QTableWidgetSelectionRange, + QVBoxLayout, +) from __code import load_ui from __code._utilities.color import Color -from __code.file_handler import retrieve_time_stamp, make_ascii_file +from __code.file_handler import make_ascii_file, retrieve_time_stamp -import warnings -warnings.filterwarnings('ignore') +warnings.filterwarnings("ignore") class CalibratedTransmissionUi(QMainWindow): - data_dict = {} timestamp_dict = {} @@ -27,52 +30,58 @@ class CalibratedTransmissionUi(QMainWindow): col_width = 65 table_column_width = [col_width, col_width, col_width, col_width, 100] summary_table_width = [300, 150, 100] - default_measurement_roi = {'x0': 0, 'y0': 0, - 'width': np.NaN, 'height': np.NaN} + default_measurement_roi = {"x0": 0, "y0": 0, "width": np.nan, "height": np.nan} # where the mean counts and calibrated value will be displayed - calibration = {} # '1' : {'mean_counts' : _mean, 'value': _value} + calibration = {} # '1' : {'mean_counts' : _mean, 'value': _value} - measurement_dict = {} # '1': [ measurement data calibrated ] + measurement_dict = {} # '1': [ measurement data calibrated ] calibration_widgets = {} calibration_widgets_label = {} - calibrated_roi = {'1': {'x0': 0, - 'y0': 0, - 'width': 200, - 'height': 200, - 'value': 1, # np.NaN - }, - '2': {'x0': np.NaN, - 'y0': np.NaN, - 'width': 200, - 'height': 200, - 'value': 10, # np.NaN - }, - } - - roi_ui_measurement = list() # keep record of all the pyqtgraph.ROI ui + calibrated_roi = { + "1": { + "x0": 0, + "y0": 0, + "width": 200, + "height": 200, + "value": 1, # np.NaN + }, + "2": { + "x0": np.nan, + "y0": np.nan, + "width": 200, + "height": 200, + "value": 10, # np.NaN + }, + } + + roi_ui_measurement = list() # keep record of all the pyqtgraph.ROI ui roi_ui_calibrated = [] live_image = [] - def __init__(self, parent=None, working_dir='', data_dict=None): - - display(HTML('Check UI that popped up \ - (maybe hidden behind this browser!)')) + def __init__(self, parent=None, working_dir="", data_dict=None): + display( + HTML( + 'Check UI that popped up \ + (maybe hidden behind this browser!)' + ) + ) super(QMainWindow, self).__init__(parent=parent) - ui_full_path = os.path.join(os.path.dirname(os.path.dirname(os.path.dirname(__file__))), - os.path.join('ui', - 'ui_calibrated_transmission.ui')) + ui_full_path = os.path.join( + os.path.dirname(os.path.dirname(os.path.dirname(__file__))), + os.path.join("ui", "ui_calibrated_transmission.ui"), + ) self.ui = load_ui(ui_full_path, baseinstance=self) self.setWindowTitle("Calibrated Transmission") self.working_dir = working_dir self.data_dict = data_dict # Normalization data dictionary {'file_name': [], - #'data': [[...],[...]]], - #'metadata': [], - #'shape': {}} + #'data': [[...],[...]]], + #'metadata': [], + #'shape': {}} # untouched array of images (used to move and rotate images) self.data_dict_raw = copy.deepcopy(data_dict) @@ -88,11 +97,11 @@ def __init__(self, parent=None, working_dir='', data_dict=None): # display first image self.slider_file_changed(-1) - self.ui.tableWidget.cellChanged['int', 'int'].connect(self.cell_changed) + self.ui.tableWidget.cellChanged["int", "int"].connect(self.cell_changed) # initialization def init_timestamp_dict(self): - list_files = self.data_dict['file_name'] + list_files = self.data_dict["file_name"] self.timestamp_dict = retrieve_time_stamp(list_files) def init_statusbar(self): @@ -101,18 +110,18 @@ def init_statusbar(self): # self.ui.statusbar.addPermanentWidget(self.ui.info_label) def init_table(self): - list_files_full_name = self.data_dict['file_name'] + list_files_full_name = self.data_dict["file_name"] list_files_short_name = [os.path.basename(_file) for _file in list_files_full_name] - list_time_stamp = self.timestamp_dict['list_time_stamp'] - list_time_stamp_user_format = self.timestamp_dict['list_time_stamp_user_format'] + list_time_stamp = self.timestamp_dict["list_time_stamp"] + list_time_stamp_user_format = self.timestamp_dict["list_time_stamp_user_format"] time_0 = list_time_stamp[0] for _row, _file in enumerate(list_files_short_name): self.ui.summary_table.insertRow(_row) self.set_item_summary_table(row=_row, col=0, value=_file) self.set_item_summary_table(row=_row, col=1, value=list_time_stamp_user_format[_row]) _offset = list_time_stamp[_row] - time_0 - self.set_item_summary_table(row=_row, col=2, value="{:0.2f}".format(_offset)) + self.set_item_summary_table(row=_row, col=2, value=f"{_offset:0.2f}") # def init_parameters(self): # nbr_files = len(self.data_dict['file_name']) @@ -140,10 +149,9 @@ def init_pyqtgrpah(self): self.ui.measurement_widget.setLayout(vertical_layout2) def define_roi(roi_dict, callback_function): - cal = pg.RectROI([roi_dict['x0'], roi_dict['y0']], - roi_dict['height'], - roi_dict['width'], - pen=roi_dict['color']) + cal = pg.RectROI( + [roi_dict["x0"], roi_dict["y0"]], roi_dict["height"], roi_dict["width"], pen=roi_dict["color"] + ) cal.addScaleHandle([1, 1], [0, 0]) cal.addScaleHandle([0, 0], [1, 1]) cal.sigRegionChanged.connect(callback_function) @@ -152,9 +160,9 @@ def define_roi(roi_dict, callback_function): # calibration calibration_roi = self.calibrated_roi - roi1 = define_roi(calibration_roi['1'], self.calibration1_roi_moved) + roi1 = define_roi(calibration_roi["1"], self.calibration1_roi_moved) self.roi_ui_calibrated.append(roi1) - roi2 = define_roi(calibration_roi['2'], self.calibration2_roi_moved) + roi2 = define_roi(calibration_roi["2"], self.calibration2_roi_moved) self.roi_ui_calibrated.append(roi2) def init_widgets(self): @@ -162,7 +170,7 @@ def init_widgets(self): self.ui.splitter.setSizes([250, 130]) # file slider - self.ui.file_slider.setMaximum(len(self.data_dict['data'])-1) + self.ui.file_slider.setMaximum(len(self.data_dict["data"]) - 1) # update size of table columns nbr_columns = self.ui.tableWidget.columnCount() @@ -174,46 +182,52 @@ def init_widgets(self): for _col in range(nbr_columns): self.ui.summary_table.setColumnWidth(_col, self.summary_table_width[_col]) - self.calibration_widgets = {'1': {'x0': self.ui.calibration1_x0, - 'y0': self.ui.calibration1_y0, - 'width': self.ui.calibration1_width, - 'height': self.ui.calibration1_height, - 'value': self.ui.calibration1_value, - }, - '2': {'x0': self.ui.calibration2_x0, - 'y0': self.ui.calibration2_y0, - 'width': self.ui.calibration2_width, - 'height': self.ui.calibration2_height, - 'value': self.ui.calibration2_value, - }, - } - - self.calibration_widgets_label = {'1': {'x0_label': self.ui.calibration1_x0_label, - 'y0_label': self.ui.calibration1_y0_label, - 'width_label': self.ui.calibration1_width_label, - 'height_label': self.ui.calibration1_height_label, - 'value_label': self.ui.calibration1_value_label, - 'group': self.ui.calibration1_groupbox, - }, - '2': {'x0_label': self.ui.calibration2_x0_label, - 'y0_label': self.ui.calibration2_y0_label, - 'width_label': self.ui.calibration2_width_label, - 'height_label': self.ui.calibration2_height_label, - 'value_label': self.ui.calibration2_value_label, - 'group': self.ui.calibration2_groupbox, - }, - } + self.calibration_widgets = { + "1": { + "x0": self.ui.calibration1_x0, + "y0": self.ui.calibration1_y0, + "width": self.ui.calibration1_width, + "height": self.ui.calibration1_height, + "value": self.ui.calibration1_value, + }, + "2": { + "x0": self.ui.calibration2_x0, + "y0": self.ui.calibration2_y0, + "width": self.ui.calibration2_width, + "height": self.ui.calibration2_height, + "value": self.ui.calibration2_value, + }, + } + + self.calibration_widgets_label = { + "1": { + "x0_label": self.ui.calibration1_x0_label, + "y0_label": self.ui.calibration1_y0_label, + "width_label": self.ui.calibration1_width_label, + "height_label": self.ui.calibration1_height_label, + "value_label": self.ui.calibration1_value_label, + "group": self.ui.calibration1_groupbox, + }, + "2": { + "x0_label": self.ui.calibration2_x0_label, + "y0_label": self.ui.calibration2_y0_label, + "width_label": self.ui.calibration2_width_label, + "height_label": self.ui.calibration2_height_label, + "value_label": self.ui.calibration2_value_label, + "group": self.ui.calibration2_groupbox, + }, + } # will keep record of the x0, y0, width, height, value and color of the calibration rois - self.calibration_roi = {'1': {}, - '2': {}, - } + self.calibration_roi = { + "1": {}, + "2": {}, + } # init calibrated roi self.populate_calibration_widgets(calibration_index=1) self.populate_calibration_widgets(calibration_index=2) - def populate_calibration_widgets(self, calibration_index=1): calibration_ui = self.calibration_widgets[str(calibration_index)] calibration_roi = self.calibrated_roi[str(calibration_index)] @@ -223,17 +237,17 @@ def populate_calibration_widgets(self, calibration_index=1): def init_parameters(self): # init the position of the measurement ROI - [height, width] = np.shape(self.data_dict['data'][0]) - self.default_measurement_roi['width'] = int(width/10) - self.default_measurement_roi['height'] = int(height/10) - self.default_measurement_roi['x0'] = int(width/2) - self.default_measurement_roi['y0'] = int(height/2) + [height, width] = np.shape(self.data_dict["data"][0]) + self.default_measurement_roi["width"] = int(width / 10) + self.default_measurement_roi["height"] = int(height / 10) + self.default_measurement_roi["x0"] = int(width / 2) + self.default_measurement_roi["y0"] = int(height / 2) - self.calibrated_roi['2']['x0'] = width - self.calibrated_roi['2']['width'] - self.calibrated_roi['2']['y0'] = height - self.calibrated_roi['2']['height'] + self.calibrated_roi["2"]["x0"] = width - self.calibrated_roi["2"]["width"] + self.calibrated_roi["2"]["y0"] = height - self.calibrated_roi["2"]["height"] - self.calibrated_roi['1']['color'] = 'b' # blue - self.calibrated_roi['2']['color'] = 'r' # red + self.calibrated_roi["1"]["color"] = "b" # blue + self.calibrated_roi["2"]["color"] = "r" # red # main methods def display_image(self): @@ -289,54 +303,54 @@ def display_roi(self): self.ui.image_view.addItem(self.roi_ui_calibrated[1]) def record_calibration(self, index=1): - x0 = int(str(self.calibration_widgets[str(index)]['x0'].text())) - y0 = int(str(self.calibration_widgets[str(index)]['y0'].text())) - width = int(str(self.calibration_widgets[str(index)]['width'].text())) - height = int(str(self.calibration_widgets[str(index)]['height'].text())) - if np.isnan(float(str(self.calibration_widgets[str(index)]['value'].text()))): + x0 = int(str(self.calibration_widgets[str(index)]["x0"].text())) + y0 = int(str(self.calibration_widgets[str(index)]["y0"].text())) + width = int(str(self.calibration_widgets[str(index)]["width"].text())) + height = int(str(self.calibration_widgets[str(index)]["height"].text())) + if np.isnan(float(str(self.calibration_widgets[str(index)]["value"].text()))): return - value = float(str(self.calibration_widgets[str(index)]['value'].text())) + value = float(str(self.calibration_widgets[str(index)]["value"].text())) if index == 1: file_index = int(str(self.ui.calibration1_index.text())) else: file_index = int(str(self.ui.calibration2_index.text())) - _file_data = self.data_dict['data'][file_index] - _region_data = _file_data[y0:y0+height, x0:x0+width] + _file_data = self.data_dict["data"][file_index] + _region_data = _file_data[y0 : y0 + height, x0 : x0 + width] _mean = np.nanmean(_region_data) self.calibration[str(index)] = {} - self.calibration[str(index)]['mean_counts'] = _mean - self.calibration[str(index)]['value'] = value + self.calibration[str(index)]["mean_counts"] = _mean + self.calibration[str(index)]["value"] = value def calculate_measurement_profiles(self): """calculate for each measurement roi the mean counts using the calibrated regions. The value will be displayed in the summary table""" - def ratio_calibration(cali_1=True, cali_2=True, input_value=np.NaN): + def ratio_calibration(cali_1=True, cali_2=True, input_value=np.nan): if cali_1 and cali_2: - cal1_mean = self.calibration['1']['mean_counts'] - cal1_value = self.calibration['1']['value'] - cal2_mean = self.calibration['2']['mean_counts'] - cal2_value = self.calibration['2']['value'] - return ((cal2_value - cal1_value)/(cal2_mean - cal1_mean)*(input_value - cal1_mean) + cal1_value) + cal1_mean = self.calibration["1"]["mean_counts"] + cal1_value = self.calibration["1"]["value"] + cal2_mean = self.calibration["2"]["mean_counts"] + cal2_value = self.calibration["2"]["value"] + return (cal2_value - cal1_value) / (cal2_mean - cal1_mean) * (input_value - cal1_mean) + cal1_value elif cali_1: - index = '1' + index = "1" elif cali_2: - index = '2' + index = "2" else: return input_value - cali_mean = self.calibration[index]['mean_counts'] - cali_value = self.calibration[index]['value'] - return (input_value/cali_mean) * cali_value + cali_mean = self.calibration[index]["mean_counts"] + cali_value = self.calibration[index]["value"] + return (input_value / cali_mean) * cali_value - self.calibration = {} # reset + self.calibration = {} # reset cali_1 = self.ui.use_calibration1_checkbox.isChecked() cali_2 = self.ui.use_calibration2_checkbox.isChecked() if cali_1: @@ -349,18 +363,16 @@ def ratio_calibration(cali_1=True, cali_2=True, input_value=np.NaN): for _measurement_row in np.arange(nbr_row): (x0, y0, width, height) = self.get_item_row(row=_measurement_row) _measurement_data = [] - for _data_index, _data in enumerate(self.data_dict['data']): - data_counts = np.nanmean(_data[y0:y0+height, x0:x0+width]) + for _data_index, _data in enumerate(self.data_dict["data"]): + data_counts = np.nanmean(_data[y0 : y0 + height, x0 : x0 + width]) - real_data_counts = ratio_calibration(cali_1 = cali_1, - cali_2 = cali_2, - input_value = data_counts) + real_data_counts = ratio_calibration(cali_1=cali_1, cali_2=cali_2, input_value=data_counts) - item = QTableWidgetItem("{:.2f}".format(real_data_counts)) + item = QTableWidgetItem(f"{real_data_counts:.2f}") _measurement_data.append(real_data_counts) - self.ui.summary_table.setItem(_data_index, _measurement_row+3, item) + self.ui.summary_table.setItem(_data_index, _measurement_row + 3, item) - measurement_dict[str(_measurement_row+1)] = _measurement_data + measurement_dict[str(_measurement_row + 1)] = _measurement_data self.measurement_dict = measurement_dict @@ -388,11 +400,9 @@ def display_measurement_profiles(self, refresh_calculation=True): for _index, _key in enumerate(self.measurement_dict.keys()): _data = self.measurement_dict[_key] - self.ui.measurement_view.plot(_data, - name="Region {}".format(1+_index), - pen=_color_list[_index]) - self.ui.measurement_view.setLabel('bottom', 'File Index') - self.ui.measurement_view.setLabel('left', 'Mean Counts Calibrated') + self.ui.measurement_view.plot(_data, name=f"Region {1+_index}", pen=_color_list[_index]) + self.ui.measurement_view.setLabel("bottom", "File Index") + self.ui.measurement_view.setLabel("left", "Mean Counts Calibrated") def remove_row(self, row=-1): if row == -1: @@ -416,17 +426,17 @@ def insert_row(self, row=-1): default_values = self.default_measurement_roi self.ui.tableWidget.insertRow(row) - self.set_item_main_table(row=row, col=0, value=default_values['x0']) - self.set_item_main_table(row=row, col=1, value=default_values['y0']) - self.set_item_main_table(row=row, col=2, value=default_values['width']) - self.set_item_main_table(row=row, col=3, value=default_values['height']) + self.set_item_main_table(row=row, col=0, value=default_values["x0"]) + self.set_item_main_table(row=row, col=1, value=default_values["y0"]) + self.set_item_main_table(row=row, col=2, value=default_values["width"]) + self.set_item_main_table(row=row, col=3, value=default_values["height"]) # select new entry nbr_row = self.ui.tableWidget.rowCount() nbr_col = self.ui.tableWidget.columnCount() - full_range = QTableWidgetSelectionRange(0, 0, nbr_row-1, nbr_col-1) + full_range = QTableWidgetSelectionRange(0, 0, nbr_row - 1, nbr_col - 1) self.ui.tableWidget.setRangeSelected(full_range, False) - new_selection = QTableWidgetSelectionRange(row, 0, row, nbr_col-1) + new_selection = QTableWidgetSelectionRange(row, 0, row, nbr_col - 1) self.ui.tableWidget.setRangeSelected(new_selection, True) self.ui.tableWidget.blockSignals(False) @@ -459,7 +469,7 @@ def renamed_summary_table_region_header(self): _index = 1 for _col in np.arange(3, nbr_col): item = self.ui.summary_table.horizontalHeaderItem(_col) - item.setText("Region {}".format(_index)) + item.setText(f"Region {_index}") _index += 1 def update_mean_counts(self, row=-1, all=False): @@ -473,9 +483,9 @@ def update_mean_counts(self, row=-1, all=False): def insert_measurement_roi_ui(self, row=-1): default_roi = self.default_measurement_roi - new_roi = pg.RectROI([default_roi['x0'], default_roi['y0']], - [default_roi['height'], default_roi['width']], - pen='g') + new_roi = pg.RectROI( + [default_roi["x0"], default_roi["y0"]], [default_roi["height"], default_roi["width"]], pen="g" + ) new_roi.addScaleHandle([1, 1], [0, 0]) new_roi.addScaleHandle([0, 0], [1, 1]) self.ui.image_view.addItem(new_roi) @@ -529,52 +539,50 @@ def display_this_file(self, index=1): self.slider_file_changed(-1) def update_calibration_widgets(self, index=1): - roi_ui = self.roi_ui_calibrated[index-1] - region = roi_ui.getArraySlice(self.live_image, - self.ui.image_view.imageItem) + roi_ui = self.roi_ui_calibrated[index - 1] + region = roi_ui.getArraySlice(self.live_image, self.ui.image_view.imageItem) x0 = region[0][0].start x1 = region[0][0].stop y0 = region[0][1].start y1 = region[0][1].stop - width = np.abs(x1 - x0)-1 - height = np.abs(y1 - y0)-1 + width = np.abs(x1 - x0) - 1 + height = np.abs(y1 - y0) - 1 roi_widgets = self.calibration_widgets[str(index)] - roi_widgets['x0'].setText(str(x0)) - roi_widgets['y0'].setText(str(y0)) - roi_widgets['width'].setText(str(width)) - roi_widgets['height'].setText(str(height)) + roi_widgets["x0"].setText(str(x0)) + roi_widgets["y0"].setText(str(y0)) + roi_widgets["width"].setText(str(width)) + roi_widgets["height"].setText(str(height)) - self.calibration_roi[str(index)]['x0'] = x0 - self.calibration_roi[str(index)]['y0'] = y0 - self.calibration_roi[str(index)]['width'] = width - self.calibration_roi[str(index)]['height'] = height + self.calibration_roi[str(index)]["x0"] = x0 + self.calibration_roi[str(index)]["y0"] = y0 + self.calibration_roi[str(index)]["width"] = width + self.calibration_roi[str(index)]["height"] = height def calibration_widgets_changed(self, index=1): - roi_ui = self.roi_ui_calibrated[index-1] + roi_ui = self.roi_ui_calibrated[index - 1] widgets_ui = self.calibration_widgets[str(index)] - x0 = int(widgets_ui['x0'].text()) - y0 = int(widgets_ui['y0'].text()) - width = int(widgets_ui['width'].text()) - height = int(widgets_ui['height'].text()) + x0 = int(widgets_ui["x0"].text()) + y0 = int(widgets_ui["y0"].text()) + width = int(widgets_ui["width"].text()) + height = int(widgets_ui["height"].text()) roi_ui.setPos((x0, y0)) roi_ui.setSize((width, height)) calibration_roi = self.calibration_roi[str(index)] - calibration_roi['x0'] = x0 - calibration_roi['y0'] = y0 - calibration_roi['height'] = height - calibration_roi['width'] = width + calibration_roi["x0"] = x0 + calibration_roi["y0"] = y0 + calibration_roi["height"] = height + calibration_roi["width"] = width def update_all_measurement_rois_from_view(self): # reached when the ROIs are moved in the ui def get_roi_parameters(roi_ui): - region = roi_ui.getArraySlice(self.live_image, - self.ui.image_view.imageItem) + region = roi_ui.getArraySlice(self.live_image, self.ui.image_view.imageItem) x0 = region[0][0].start x1 = region[0][0].stop y0 = region[0][1].start @@ -584,7 +592,7 @@ def get_roi_parameters(roi_ui): return (x0, y0, width, height) - list_roi = self.roi_ui_measurement + list_roi = self.roi_ui_measurement for _row, _roi in enumerate(list_roi): [x0, y0, width, height] = get_roi_parameters(_roi) self.ui.tableWidget.item(_row, 0).setText(str(x0)) @@ -601,13 +609,13 @@ def update_measurement_rois_from_table(self, row=0): roi_ui.blockSignals(False) # setter - def set_item_main_table(self, row=0, col=0, value=''): + def set_item_main_table(self, row=0, col=0, value=""): item = QTableWidgetItem(str(value)) self.ui.tableWidget.setItem(row, col, item) if col == 4: item.setFlags(QtCore.Qt.ItemIsEnabled | QtCore.Qt.ItemIsSelectable) - def set_item_summary_table(self, row=0, col=0, value=''): + def set_item_summary_table(self, row=0, col=0, value=""): item = QTableWidgetItem(str(value)) self.ui.summary_table.setItem(row, col, item) item.setFlags(QtCore.Qt.ItemIsEnabled | QtCore.Qt.ItemIsSelectable) @@ -615,7 +623,7 @@ def set_item_summary_table(self, row=0, col=0, value=''): # getter def get_image_selected(self): slider_index = self.ui.file_slider.value() - _image = self.data_dict['data'][slider_index] + _image = self.data_dict["data"][slider_index] return _image def get_selected_row(self): @@ -726,79 +734,75 @@ def remove_row_button_clicked(self): self.remove_measurement_roi_ui(row=selected_row) self.display_measurement_profiles() - def cell_changed(self, row, col ): + def cell_changed(self, row, col): self.update_measurement_rois_from_table(row=row) self.display_measurement_profiles() def export_button_clicked(self): - _export_folder = QFileDialog.getExistingDirectory(self, - directory=self.working_dir, - caption = "Select Output Folder", - options=QFileDialog.ShowDirsOnly) + _export_folder = QFileDialog.getExistingDirectory( + self, directory=self.working_dir, caption="Select Output Folder", options=QFileDialog.ShowDirsOnly + ) if _export_folder: - o_export = ExportCalibration(parent = self, - export_folder=_export_folder) + o_export = ExportCalibration(parent=self, export_folder=_export_folder) o_export.run() QtGui.QGuiApplication.processEvents() def previous_image_button_clicked(self): - self.change_slider(offset = -1) + self.change_slider(offset=-1) self.display_measurement_profiles() def next_image_button_clicked(self): - self.change_slider(offset = +1) + self.change_slider(offset=+1) self.display_measurement_profiles() def help_button_clicked(self): import webbrowser + webbrowser.open("https://neutronimaging.ornl.gov/calibrated-transmission/") def closeEvent(self, event=None): pass -class ExportCalibration(object): - - def __init__(self, parent=None, export_folder=''): +class ExportCalibration: + def __init__(self, parent=None, export_folder=""): self.parent = parent self.export_folder = export_folder def get_metadata(self): metadata = [] - metadata.append("#Working dir: {}".format(self.parent.working_dir)) + metadata.append(f"#Working dir: {self.parent.working_dir}") if self.parent.ui.use_calibration1_checkbox.isChecked(): metadata.append("#Calibration Region 1:") - metadata.append("# x0: {}".format(str(self.parent.ui.calibration1_x0.text()))) - metadata.append("# y0: {}".format(str(self.parent.ui.calibration1_y0.text()))) - metadata.append("# width: {}".format(str(self.parent.ui.calibration1_width.text()))) - metadata.append("# height: {}".format(str(self.parent.ui.calibration1_height.text()))) - metadata.append("# file index: {}".format(str(self.parent.ui.calibration1_index.text()))) - metadata.append("# value requested: {}".format(str(self.parent.ui.calibration1_value.text()))) + metadata.append(f"# x0: {str(self.parent.ui.calibration1_x0.text())}") + metadata.append(f"# y0: {str(self.parent.ui.calibration1_y0.text())}") + metadata.append(f"# width: {str(self.parent.ui.calibration1_width.text())}") + metadata.append(f"# height: {str(self.parent.ui.calibration1_height.text())}") + metadata.append(f"# file index: {str(self.parent.ui.calibration1_index.text())}") + metadata.append(f"# value requested: {str(self.parent.ui.calibration1_value.text())}") if self.parent.ui.use_calibration2_checkbox.isChecked(): metadata.append("#Calibration Region 2:") - metadata.append("# x0: {}".format(str(self.parent.ui.calibration2_x0.text()))) - metadata.append("# y0: {}".format(str(self.parent.ui.calibration2_y0.text()))) - metadata.append("# width: {}".format(str(self.parent.ui.calibration2_width.text()))) - metadata.append("# height: {}".format(str(self.parent.ui.calibration2_height.text()))) - metadata.append("# file index: {}".format(str(self.parent.ui.calibration2_index.text()))) - metadata.append("# value requested: {}".format(str(self.parent.ui.calibration2_value.text()))) + metadata.append(f"# x0: {str(self.parent.ui.calibration2_x0.text())}") + metadata.append(f"# y0: {str(self.parent.ui.calibration2_y0.text())}") + metadata.append(f"# width: {str(self.parent.ui.calibration2_width.text())}") + metadata.append(f"# height: {str(self.parent.ui.calibration2_height.text())}") + metadata.append(f"# file index: {str(self.parent.ui.calibration2_index.text())}") + metadata.append(f"# value requested: {str(self.parent.ui.calibration2_value.text())}") nbr_measurement_region = self.parent.ui.tableWidget.rowCount() _legend = "#File_name, Time_stamp, Relative_time(s)" if nbr_measurement_region > 0: metadata.append("#Measurement Regions:") for _index_region in np.arange(nbr_measurement_region): [x0, y0, width, height] = self.parent.get_item_row(row=_index_region) - metadata.append("# region {}: [x0, y0, width, height]=[{}, {}, {}, {}]".format(_index_region, - x0, y0, - width, height)) - _legend += ", Mean_counts_of_region {}".format(_index_region+1) + metadata.append(f"# region {_index_region}: [x0, y0, width, height]=[{x0}, {y0}, {width}, {height}]") + _legend += f", Mean_counts_of_region {_index_region+1}" metadata.append("#") metadata.append(_legend) return metadata def run(self): nbr_files = self.parent.ui.summary_table.rowCount() - nbr_col= self.parent.ui.summary_table.columnCount() + nbr_col = self.parent.ui.summary_table.columnCount() metadata = self.get_metadata() data = [] @@ -811,12 +815,9 @@ def run(self): export_file_name = os.path.basename(self.parent.working_dir) full_export_file_name = os.path.join(self.export_folder, export_file_name + "_calibrated_transmission.txt") - make_ascii_file(metadata=metadata, - data=data, - output_file_name=full_export_file_name, - dim='1d') + make_ascii_file(metadata=metadata, data=data, output_file_name=full_export_file_name, dim="1d") QApplication.processEvents() # display name of file exported for 10s - self.parent.ui.statusbar.showMessage("File Created: {}".format(full_export_file_name), 10000) + self.parent.ui.statusbar.showMessage(f"File Created: {full_export_file_name}", 10000) diff --git a/notebooks/__code/circular_profile_of_a_ring/calculate_profiles.py b/notebooks/__code/circular_profile_of_a_ring/calculate_profiles.py index e1fbf96e..b138696a 100755 --- a/notebooks/__code/circular_profile_of_a_ring/calculate_profiles.py +++ b/notebooks/__code/circular_profile_of_a_ring/calculate_profiles.py @@ -1,19 +1,19 @@ -import numpy as np -from collections import OrderedDict -from qtpy.QtGui import QGuiApplication import copy import os +from collections import OrderedDict + +import numpy as np +from qtpy.QtGui import QGuiApplication class CalculateProfiles: - def __init__(self, parent=None): self.parent = parent def run(self): matrices = self.calculate_matrices(display=False) - angle_matrix = matrices['angles_matrix'] - mask_ring = matrices['mask_ring'] + angle_matrix = matrices["angles_matrix"] + mask_ring = matrices["mask_ring"] self.parent.eventProgress.setMaximum(len(self.parent.data)) self.parent.eventProgress.setValue(0) @@ -26,18 +26,19 @@ def run(self): list_angles = np.arange(0, 360, angle_bin) self.parent.list_angles = list_angles for _angle in list_angles: - profile_dictionary[_angle] = np.NaN + profile_dictionary[_angle] = np.nan dict_profile = {} _index = 0 for _row, _image in enumerate(self.parent.data): - - y_profile = self.get_profile(image=_image, - angle_matrix=angle_matrix, - mask_ring=mask_ring, - list_angles=list_angles, - profile_dictionary=copy.deepcopy(profile_dictionary)) - dict_profile[_row] = {'y_profile': y_profile} + y_profile = self.get_profile( + image=_image, + angle_matrix=angle_matrix, + mask_ring=mask_ring, + list_angles=list_angles, + profile_dictionary=copy.deepcopy(profile_dictionary), + ) + dict_profile[_row] = {"y_profile": y_profile} _index += 1 self.parent.eventProgress.setValue(_index) QGuiApplication.processEvents() @@ -47,7 +48,6 @@ def run(self): self.parent.ui.export_profiles_button.setEnabled(True) def get_profile(self, image=None, angle_matrix=None, mask_ring=None, list_angles=None, profile_dictionary=None): - # # create profile_dictionary # angle_bin = self.parent.angle_bin_horizontalSlider.value()/100 # @@ -58,10 +58,9 @@ def get_profile(self, image=None, angle_matrix=None, mask_ring=None, list_angles y_mask = mask_ring[0] x_mask = mask_ring[1] - for y, x in zip(y_mask, x_mask): + for y, x in zip(y_mask, x_mask, strict=False): angle = angle_matrix[y, x] - bin_angle = CalculateProfiles.get_corresponding_bin_angle(angle=angle, - list_angles=list_angles) + bin_angle = CalculateProfiles.get_corresponding_bin_angle(angle=angle, list_angles=list_angles) # print(f"angle:{angle} -> bin_angle:{bin_angle}") profile_dictionary[bin_angle] = image[y, x] @@ -86,32 +85,31 @@ def calculate_matrices(self, display=True): # find all the pixels that are within the ring xv, yv = np.meshgrid(x, y) - distances_power = np.sqrt((np.power(yv - y_central_pixel, 2) + np.power(xv - x_central_pixel, 2))) + distances_power = np.sqrt(np.power(yv - y_central_pixel, 2) + np.power(xv - x_central_pixel, 2)) mask_ring = np.where((distances_power > inner_radius) & (distances_power < (inner_radius + thickness))) # find angles of all the pixels - angles_matrix = CalculateProfiles._build_angles_matrix(image_width=image_width, - image_height=image_height, - x_central_pixel=x_central_pixel, - y_central_pixel=y_central_pixel) + angles_matrix = CalculateProfiles._build_angles_matrix( + image_width=image_width, + image_height=image_height, + x_central_pixel=x_central_pixel, + y_central_pixel=y_central_pixel, + ) y_mask = mask_ring[0] x_mask = mask_ring[1] ring_angles_matrix = np.zeros(np.shape(angles_matrix)) - for y, x in zip(y_mask, x_mask): + for y, x in zip(y_mask, x_mask, strict=False): ring_angles_matrix[y, x] = angles_matrix[y, x] if display: self.parent.ui.image_view.setImage(np.transpose(ring_angles_matrix)) - return {'angles_matrix': ring_angles_matrix, - 'mask_ring': mask_ring} + return {"angles_matrix": ring_angles_matrix, "mask_ring": mask_ring} @staticmethod - def _build_angles_matrix(image_width=None, image_height=None, - x_central_pixel=None, y_central_pixel=None): - + def _build_angles_matrix(image_width=None, image_height=None, x_central_pixel=None, y_central_pixel=None): full_angles_matrix = np.zeros((image_height, image_width)) # bottom right corner of matrix @@ -123,12 +121,14 @@ def _build_angles_matrix(image_width=None, image_height=None, xv_right_bottom, yv_right_bottom = np.meshgrid(x_right_bottom, y_right_bottom) - angles_right_bottom = 90 + np.rad2deg(np.arctan((yv_right_bottom - y_central_pixel) / - (xv_right_bottom - x_central_pixel))) + angles_right_bottom = 90 + np.rad2deg( + np.arctan((yv_right_bottom - y_central_pixel) / (xv_right_bottom - x_central_pixel)) + ) - full_angles_matrix[int(y_right_bottom[0]): int(y_right_bottom[0]) + len(y_right_bottom), - int(x_right_bottom[0]): int(x_right_bottom[0]) + len(x_right_bottom)] = \ - angles_right_bottom + full_angles_matrix[ + int(y_right_bottom[0]) : int(y_right_bottom[0]) + len(y_right_bottom), + int(x_right_bottom[0]) : int(x_right_bottom[0]) + len(x_right_bottom), + ] = angles_right_bottom # top right corner of matrix right_top_corner_width = int(image_width - x_central_pixel) @@ -139,11 +139,14 @@ def _build_angles_matrix(image_width=None, image_height=None, xv_right_top, yv_right_top = np.meshgrid(x_right_top, y_right_top) - angles_right_top = 90 + np.rad2deg(np.arctan((yv_right_top - y_central_pixel) / - (xv_right_top - x_central_pixel))) + angles_right_top = 90 + np.rad2deg( + np.arctan((yv_right_top - y_central_pixel) / (xv_right_top - x_central_pixel)) + ) - full_angles_matrix[int(y_right_top[0]): int(y_right_top[0])+len(y_right_top), - int(x_right_top[0]):int(x_right_top[0])+len(x_right_top)] = angles_right_top + full_angles_matrix[ + int(y_right_top[0]) : int(y_right_top[0]) + len(y_right_top), + int(x_right_top[0]) : int(x_right_top[0]) + len(x_right_top), + ] = angles_right_top # top left corner left_top_corner_width = int(x_central_pixel) @@ -154,10 +157,11 @@ def _build_angles_matrix(image_width=None, image_height=None, xv_left_top, yv_left_top = np.meshgrid(x_left_top, y_left_top) - angles_left_top = 270 + np.rad2deg(np.arctan((yv_left_top - y_central_pixel) / - (xv_left_top - x_central_pixel))) - full_angles_matrix[int(y_left_top[0]): int(y_left_top[0])+len(y_left_top), - int(x_left_top[0]): int(x_left_top[0])+len(x_left_top)] = angles_left_top + angles_left_top = 270 + np.rad2deg(np.arctan((yv_left_top - y_central_pixel) / (xv_left_top - x_central_pixel))) + full_angles_matrix[ + int(y_left_top[0]) : int(y_left_top[0]) + len(y_left_top), + int(x_left_top[0]) : int(x_left_top[0]) + len(x_left_top), + ] = angles_left_top # bottom left corner left_bottom_corner_width = int(x_central_pixel) @@ -168,19 +172,22 @@ def _build_angles_matrix(image_width=None, image_height=None, xv_left_bottom, yv_left_bottom = np.meshgrid(x_left_bottom, y_left_bottom) - angles_left_bottom = 270 + np.rad2deg(np.arctan((yv_left_bottom - y_central_pixel) / - (xv_left_bottom - x_central_pixel))) - full_angles_matrix[int(y_left_bottom[0]): int(y_left_bottom[0]) + len(y_left_bottom), - int(x_left_bottom[0]): int(x_left_bottom[0]) + len(x_left_bottom)] = angles_left_bottom + angles_left_bottom = 270 + np.rad2deg( + np.arctan((yv_left_bottom - y_central_pixel) / (xv_left_bottom - x_central_pixel)) + ) + full_angles_matrix[ + int(y_left_bottom[0]) : int(y_left_bottom[0]) + len(y_left_bottom), + int(x_left_bottom[0]) : int(x_left_bottom[0]) + len(x_left_bottom), + ] = angles_left_bottom return full_angles_matrix def plot_profiles(self): - plot_type = '-' + plot_type = "-" if self.parent.ui.point_radioButton.isChecked(): - plot_type = '.' + plot_type = "." elif self.parent.ui.plus_radioButton.isChecked(): - plot_type = '+' + plot_type = "+" self.parent.profile_plot.axes.clear() self.parent.profile_plot.draw() @@ -191,7 +198,7 @@ def plot_profiles(self): file = os.path.basename(list_files[_row]) x_profile = self.parent.list_angles - y_profile = _profile['y_profile'] + y_profile = _profile["y_profile"] self.parent.profile_plot.axes.plot(x_profile, y_profile, plot_type, label=file) self.parent.profile_plot.axes.legend() @@ -203,7 +210,7 @@ def plot_profiles(self): # # plot_ui.axes.set_xlabel("Pixel") # # plot_ui.axes.set_ylabel("Average counts") - #plot_ui.draw() + # plot_ui.draw() def get_profile_row_selected(self): list_selection = self.parent.ui.profile_list_images.selectedIndexes() @@ -221,4 +228,3 @@ def get_corresponding_bin_angle(angle=None, list_angles=None): index = np.abs(np.array(list_angles) - angle) argmin = index.argmin() return list_angles[argmin] - diff --git a/notebooks/__code/circular_profile_of_a_ring/circular_profile_of_a_ring.py b/notebooks/__code/circular_profile_of_a_ring/circular_profile_of_a_ring.py index a56ae70f..1f16c494 100755 --- a/notebooks/__code/circular_profile_of_a_ring/circular_profile_of_a_ring.py +++ b/notebooks/__code/circular_profile_of_a_ring/circular_profile_of_a_ring.py @@ -1,26 +1,28 @@ import glob + from NeuNorm.normalization import Normalization from __code.ipywe import fileselector class CircularProfileOfARing: - o_norm = None - def __init__(self, working_dir=''): + def __init__(self, working_dir=""): self.working_dir = working_dir def select_input_folder(self): - list_folder_widget = fileselector.FileSelectorPanel(instruction='select input folder ...', - start_dir=self.working_dir, - type='directory', - next=self.folder_selected, - multiple=False) + list_folder_widget = fileselector.FileSelectorPanel( + instruction="select input folder ...", + start_dir=self.working_dir, + type="directory", + next=self.folder_selected, + multiple=False, + ) list_folder_widget.show() def folder_selected(self, folder_selected): - list_files = glob.glob(folder_selected + '/*.tif*') + list_files = glob.glob(folder_selected + "/*.tif*") list_files.sort() self.load_data(list_files=list_files) diff --git a/notebooks/__code/circular_profile_of_a_ring/configuration_handler.py b/notebooks/__code/circular_profile_of_a_ring/configuration_handler.py index ec2b912f..1a103aac 100755 --- a/notebooks/__code/circular_profile_of_a_ring/configuration_handler.py +++ b/notebooks/__code/circular_profile_of_a_ring/configuration_handler.py @@ -1,45 +1,46 @@ -import numpy as np import json -from qtpy.QtWidgets import QFileDialog import os +from qtpy.QtWidgets import QFileDialog + class ConfigurationHandler: - def __init__(self, parent=None): self.parent = parent def load(self): working_dir = os.path.abspath(os.path.dirname(self.parent.working_dir)) - config_file_name = QFileDialog.getOpenFileName(self.parent, - caption="Select config file name ...", - directory=working_dir, - filter="config(*.cfg)", - initialFilter='config') + config_file_name = QFileDialog.getOpenFileName( + self.parent, + caption="Select config file name ...", + directory=working_dir, + filter="config(*.cfg)", + initialFilter="config", + ) if config_file_name[0]: with open(config_file_name[0]) as json_file: data = json.load(json_file) - x_central_pixel = data['ring']['central_pixel']['x'] - y_central_pixel = data['ring']['central_pixel']['y'] - ring_radius = data['ring']['radius'] - ring_thickness = data['ring']['thickness'] + x_central_pixel = data["ring"]["central_pixel"]["x"] + y_central_pixel = data["ring"]["central_pixel"]["y"] + ring_radius = data["ring"]["radius"] + ring_thickness = data["ring"]["thickness"] - angle_bin_size = data['angle_bin_size'] + angle_bin_size = data["angle_bin_size"] - bin_size = data['grid']['bin_size'] - red = data['grid']['red'] - green = data['grid']['green'] - blue = data['grid']['blue'] - alpha = data['grid']['alpha'] + bin_size = data["grid"]["bin_size"] + red = data["grid"]["red"] + green = data["grid"]["green"] + blue = data["grid"]["blue"] + alpha = data["grid"]["alpha"] self.parent.ui.circle_x.setText(str(x_central_pixel)) self.parent.ui.circle_y.setText(str(y_central_pixel)) self.parent.ui.ring_inner_radius_doubleSpinBox.setValue(ring_radius) - self.parent.ui.ring_inner_radius_slider.setValue(ring_radius*100) + self.parent.ui.ring_inner_radius_slider.setValue(ring_radius * 100) self.parent.ui.ring_thickness_doubleSpinBox.setValue(ring_thickness) - self.parent.ui.ring_thickness_slider.setValue(ring_thickness*100) + self.parent.ui.ring_thickness_slider.setValue(ring_thickness * 100) self.parent.ui.angle_bin_horizontalSlider.setValue(angle_bin_size) self.parent.angle_bin_slider_moved(angle_bin_size) @@ -57,7 +58,7 @@ def load(self): self.parent.init_crosshair() self.parent.display_mode_changed() - message = "{} ... Loaded!".format(os.path.basename(config_file_name[0])) + message = f"{os.path.basename(config_file_name[0])} ... Loaded!" self.parent.ui.statusbar.showMessage(message, 10000) # 10s self.parent.ui.statusbar.setStyleSheet("color: green") @@ -65,18 +66,20 @@ def save(self): default_file_name = os.path.abspath(os.path.basename(self.parent.working_dir)) + "_configuration.cfg" working_dir = os.path.dirname(self.parent.working_dir) directory = os.path.join(working_dir, default_file_name) - config_file_name = QFileDialog.getSaveFileName(self.parent, - caption="Define config file name ...", - directory=directory, - filter="config(*.cfg)", - initialFilter='config') + config_file_name = QFileDialog.getSaveFileName( + self.parent, + caption="Define config file name ...", + directory=directory, + filter="config(*.cfg)", + initialFilter="config", + ) if config_file_name[0]: config_dict = self.get_config_dict() - with open(config_file_name[0], 'w') as outfile: + with open(config_file_name[0], "w") as outfile: json.dump(config_dict, outfile) - message = "{} ... Saved!".format(os.path.basename(config_file_name[0])) + message = f"{os.path.basename(config_file_name[0])} ... Saved!" self.parent.ui.statusbar.showMessage(message, 10000) # 10s self.parent.ui.statusbar.setStyleSheet("color: green") @@ -89,24 +92,22 @@ def get_config_dict(self): # grid bin_size = self.parent.ui.grid_size_slider.value() - red = self.parent.guide_color_slider['red'] - green = self.parent.guide_color_slider['green'] - blue = self.parent.guide_color_slider['blue'] - alpha = self.parent.guide_color_slider['alpha'] + red = self.parent.guide_color_slider["red"] + green = self.parent.guide_color_slider["green"] + blue = self.parent.guide_color_slider["blue"] + alpha = self.parent.guide_color_slider["alpha"] # angle bin size angle_bin_size = self.parent.ui.angle_bin_horizontalSlider.value() - config_dict = {'ring': {'central_pixel': {'x': x_central_pixel, - 'y': y_central_pixel}, - 'radius': ring_radius, - 'thickness': ring_thickness}, - 'angle_bin_size': angle_bin_size, - 'grid': {'bin_size': bin_size, - 'red': red, - 'green': green, - 'blue': blue, - 'alpha': alpha}, - } + config_dict = { + "ring": { + "central_pixel": {"x": x_central_pixel, "y": y_central_pixel}, + "radius": ring_radius, + "thickness": ring_thickness, + }, + "angle_bin_size": angle_bin_size, + "grid": {"bin_size": bin_size, "red": red, "green": green, "blue": blue, "alpha": alpha}, + } return config_dict diff --git a/notebooks/__code/circular_profile_of_a_ring/event_handler.py b/notebooks/__code/circular_profile_of_a_ring/event_handler.py index a6bb3afa..34ba4825 100755 --- a/notebooks/__code/circular_profile_of_a_ring/event_handler.py +++ b/notebooks/__code/circular_profile_of_a_ring/event_handler.py @@ -3,7 +3,6 @@ class EventHandler: - def __init__(self, parent=None): self.parent = parent diff --git a/notebooks/__code/circular_profile_of_a_ring/export_profiles.py b/notebooks/__code/circular_profile_of_a_ring/export_profiles.py index b8082565..6f35d211 100755 --- a/notebooks/__code/circular_profile_of_a_ring/export_profiles.py +++ b/notebooks/__code/circular_profile_of_a_ring/export_profiles.py @@ -1,15 +1,15 @@ +import os + import numpy as np -from qtpy.QtWidgets import QFileDialog, QApplication from qtpy import QtCore from qtpy.QtGui import QGuiApplication -import os +from qtpy.QtWidgets import QApplication, QFileDialog from __code.circular_profile_of_a_ring.configuration_handler import ConfigurationHandler from __code.file_handler import make_ascii_file class ExportProfiles: - def __init__(self, parent=None): self.parent = parent @@ -17,16 +17,17 @@ def run(self): default_file_name = os.path.abspath(os.path.basename(self.parent.working_dir)) + "_profiles.csv" working_dir = os.path.dirname(self.parent.working_dir) directory = os.path.join(working_dir, default_file_name) - export_file_name = QFileDialog.getSaveFileName(self.parent, - caption="Select or define filename ...", - directory=directory, - filter="ascii(*.csv)", - initialFilter='ascii') + export_file_name = QFileDialog.getSaveFileName( + self.parent, + caption="Select or define filename ...", + directory=directory, + filter="ascii(*.csv)", + initialFilter="ascii", + ) if export_file_name[0]: - export_file_name = export_file_name[0] - self.parent.ui.statusbar.showMessage("Saving {} ... IN PROGRESS".format(os.path.basename(export_file_name))) + self.parent.ui.statusbar.showMessage(f"Saving {os.path.basename(export_file_name)} ... IN PROGRESS") self.parent.ui.statusbar.setStyleSheet("color: blue") QApplication.setOverrideCursor(QtCore.Qt.WaitCursor) @@ -37,18 +38,21 @@ def run(self): _config = ConfigurationHandler(parent=self.parent) dict_config = _config.get_config_dict() - metadata = ["# working dir: {}".format(os.path.abspath(self.parent.working_dir))] - metadata.append("# ring central pixel (x, y):({}, {})".format(dict_config['ring']['central_pixel']['x'], - dict_config['ring']['central_pixel']['y'])) - metadata.append("# ring inner radius (pixel): {}".format(dict_config['ring']['radius'])) - metadata.append("# ring thickness (pixel): {}".format(dict_config['ring']['thickness'])) + metadata = [f"# working dir: {os.path.abspath(self.parent.working_dir)}"] + metadata.append( + "# ring central pixel (x, y):({}, {})".format( + dict_config["ring"]["central_pixel"]["x"], dict_config["ring"]["central_pixel"]["y"] + ) + ) + metadata.append("# ring inner radius (pixel): {}".format(dict_config["ring"]["radius"])) + metadata.append("# ring thickness (pixel): {}".format(dict_config["ring"]["thickness"])) metadata.append("# Label of columns:") nbr_row = len(dict_profile.keys()) list_files = self.parent.list_short_files for _row in np.arange(nbr_row): _file = list_files[_row] - metadata.append("# column {}: {}".format(_row+1, _file)) + metadata.append(f"# column {_row+1}: {_file}") metadata.append("#") metadata.append("Angle from top vertical (degrees), mean counts (see label of columns above)") @@ -58,17 +62,14 @@ def run(self): for _index_angle, _angle in enumerate(list_angles): _entry = [str(_angle)] for _row_index in dict_profile.keys(): - _data_of_that_row = dict_profile[_row_index]['y_profile'] + _data_of_that_row = dict_profile[_row_index]["y_profile"] _entry.append(str(_data_of_that_row[_index_angle])) _str_entry = ", ".join(_entry) data.append(_str_entry) - make_ascii_file(metadata=metadata, - data=data, - output_file_name=export_file_name, - dim='1d') + make_ascii_file(metadata=metadata, data=data, output_file_name=export_file_name, dim="1d") - self.parent.ui.statusbar.showMessage("{} ... Saved!".format(os.path.basename(export_file_name)), 10000) + self.parent.ui.statusbar.showMessage(f"{os.path.basename(export_file_name)} ... Saved!", 10000) self.parent.ui.statusbar.setStyleSheet("color: green") QApplication.restoreOverrideCursor() diff --git a/notebooks/__code/circular_profile_of_a_ring/interface_handler.py b/notebooks/__code/circular_profile_of_a_ring/interface_handler.py index a59ebc87..90620e25 100755 --- a/notebooks/__code/circular_profile_of_a_ring/interface_handler.py +++ b/notebooks/__code/circular_profile_of_a_ring/interface_handler.py @@ -1,38 +1,37 @@ import os -from qtpy.QtWidgets import QMainWindow, QVBoxLayout, QProgressBar, QApplication -import pyqtgraph as pg + +import matplotlib import numpy as np -from qtpy import QtGui, QtCore +import pyqtgraph as pg +from qtpy import QtCore, QtGui from qtpy.QtGui import QGuiApplication -import matplotlib -matplotlib.use('Qt5Agg') -from matplotlib.backends.backend_qt5agg import NavigationToolbar2QT as NavigationToolbar +from qtpy.QtWidgets import QApplication, QMainWindow, QProgressBar, QVBoxLayout -from __code.panoramic_stitching.mplcanvas import MplCanvas +matplotlib.use("Qt5Agg") +from matplotlib.backends.backend_qt5agg import NavigationToolbar2QT as NavigationToolbar from __code import load_ui -from __code.decorators import wait_cursor from __code.circular_profile_of_a_ring.calculate_profiles import CalculateProfiles from __code.circular_profile_of_a_ring.configuration_handler import ConfigurationHandler -from __code.circular_profile_of_a_ring.export_profiles import ExportProfiles from __code.circular_profile_of_a_ring.event_handler import EventHandler +from __code.circular_profile_of_a_ring.export_profiles import ExportProfiles +from __code.decorators import wait_cursor +from __code.panoramic_stitching.mplcanvas import MplCanvas INNER_RING_MARKER_LENGTH = 30 # number of pixels OUTER_RING_MARKER_LENGTH = 50 # number of pixels class InterfaceHandler: - def __init__(self, working_dir=None, o_norm=None): - o_interface = Interface(data=o_norm.data['sample']['data'], - list_files=o_norm.data['sample']['file_name'], - working_dir=working_dir) + o_interface = Interface( + data=o_norm.data["sample"]["data"], list_files=o_norm.data["sample"]["file_name"], working_dir=working_dir + ) o_interface.show() self.o_interface = o_interface class Interface(QMainWindow): - histogram_level = None current_live_image = None @@ -50,20 +49,11 @@ class Interface(QMainWindow): # } dict_profile = None - guide_color_slider = {'red': 255, - 'green': 0, - 'blue': 255, - 'alpha': 255} + guide_color_slider = {"red": 255, "green": 0, "blue": 255, "alpha": 255} - ring_markers_color = {'red': 0, - 'green': 255, - 'blue': 255, - 'alpha': 255} + ring_markers_color = {"red": 0, "green": 255, "blue": 255, "alpha": 255} - ring_color = {'red': 255, - 'green': 255, - 'blue': 255, - 'alpha': 255} + ring_color = {"red": 255, "green": 255, "blue": 255, "alpha": 255} line_view_binning = None ring_markers = None @@ -74,14 +64,11 @@ class Interface(QMainWindow): max_ring_thickness = 200 ring_pen = None - angle_bin = {'minimum': 1, - 'maximum': 500, - 'value': 100} + angle_bin = {"minimum": 1, "maximum": 500, "value": 100} angle_line = None list_angles = None def __init__(self, parent=None, data=None, list_files=None, working_dir=None): - self.data = data self.list_files = list_files self.list_short_files = [os.path.basename(_file) for _file in list_files] @@ -90,9 +77,10 @@ def __init__(self, parent=None, data=None, list_files=None, working_dir=None): super(Interface, self).__init__(parent) - ui_full_path = os.path.join(os.path.dirname(os.path.dirname(os.path.dirname(__file__))), - os.path.join('ui', - 'ui_circular_profile_of_a_ring.ui')) + ui_full_path = os.path.join( + os.path.dirname(os.path.dirname(os.path.dirname(__file__))), + os.path.join("ui", "ui_circular_profile_of_a_ring.ui"), + ) self.ui = load_ui(ui_full_path, baseinstance=self) self.setWindowTitle("Circular Profile of a Ring") @@ -121,10 +109,9 @@ def _matplotlib(parent=None, widget=None): widget.setLayout(layout) return sc - self.profile_plot = _matplotlib(parent=self, - widget=self.ui.widget_profile) + self.profile_plot = _matplotlib(parent=self, widget=self.ui.widget_profile) - self.profile_plot.mpl_connect('button_press_event', self.click_on_profile_plot) + self.profile_plot.mpl_connect("button_press_event", self.click_on_profile_plot) def click_on_profile_plot(self, event): angle = event.xdata @@ -138,12 +125,9 @@ def click_on_profile_plot(self, event): _pen.setColor(QtGui.QColor(255, 0, 0)) _pen.setWidthF(0.01) - self.angle_line = pg.InfiniteLine([x0, y0], - pen=_pen, - label="{:.2f}".format(angle), - angle=angle-90., - span=(0, 1), - labelOpts={'position': 0.9}) + self.angle_line = pg.InfiniteLine( + [x0, y0], pen=_pen, label=f"{angle:.2f}", angle=angle - 90.0, span=(0, 1), labelOpts={"position": 0.9} + ) # self.angle_line.addMarker('o', size=15) self.ui.image_view.addItem(self.angle_line) @@ -171,13 +155,13 @@ def init_crosshair(self): self.ui.image_view.addItem(self.hLine, ignoreBounds=False) def init_widgets(self): - - list_ui = [self.ui.ring_inner_radius_doubleSpinBox, - self.ui.ring_inner_radius_slider, - self.ui.ring_thickness_doubleSpinBox, - self.ui.ring_thickness_slider] - self.block_signals(list_ui=list_ui, - block_status=True) + list_ui = [ + self.ui.ring_inner_radius_doubleSpinBox, + self.ui.ring_inner_radius_slider, + self.ui.ring_thickness_doubleSpinBox, + self.ui.ring_thickness_slider, + ] + self.block_signals(list_ui=list_ui, block_status=True) self.ui.image_view = pg.ImageView(view=pg.PlotItem()) self.ui.image_view.ui.roiBtn.hide() @@ -191,27 +175,27 @@ def init_widgets(self): self.ui.top_splitter.setSizes([800, 0]) nbr_files = len(self.data) - self.ui.image_slider.setMaximum(nbr_files-1) + self.ui.image_slider.setMaximum(nbr_files - 1) - self.ui.circle_y.setText(str("{:.2f}".format(self.width / 2))) - self.ui.circle_x.setText(str("{:.2f}".format(self.height / 2))) + self.ui.circle_y.setText(str(f"{self.width / 2:.2f}")) + self.ui.circle_x.setText(str(f"{self.height / 2:.2f}")) - self.ui.guide_red_slider.setValue(self.guide_color_slider['red']) - self.ui.guide_green_slider.setValue(self.guide_color_slider['green']) - self.ui.guide_blue_slider.setValue(self.guide_color_slider['blue']) - self.ui.guide_alpha_slider.setValue(self.guide_color_slider['alpha']) + self.ui.guide_red_slider.setValue(self.guide_color_slider["red"]) + self.ui.guide_green_slider.setValue(self.guide_color_slider["green"]) + self.ui.guide_blue_slider.setValue(self.guide_color_slider["blue"]) + self.ui.guide_alpha_slider.setValue(self.guide_color_slider["alpha"]) # ring settings max_ring_value = self.width - default_inner_ring_value = int(self.width/4) + default_inner_ring_value = int(self.width / 4) default_ring_thickness = 100 - self.ui.ring_inner_radius_slider.setMaximum(max_ring_value*100) # *100 because slider is int - self.ui.ring_inner_radius_slider.setValue(default_inner_ring_value*100) + self.ui.ring_inner_radius_slider.setMaximum(max_ring_value * 100) # *100 because slider is int + self.ui.ring_inner_radius_slider.setValue(default_inner_ring_value * 100) self.ui.ring_inner_radius_doubleSpinBox.setMaximum(max_ring_value) self.ui.ring_inner_radius_doubleSpinBox.setSingleStep(0.01) self.ui.ring_inner_radius_doubleSpinBox.setValue(default_inner_ring_value) - self.ui.ring_thickness_slider.setMaximum(self.max_ring_thickness*100) - self.ui.ring_thickness_slider.setValue(default_ring_thickness*100) + self.ui.ring_thickness_slider.setMaximum(self.max_ring_thickness * 100) + self.ui.ring_thickness_slider.setValue(default_ring_thickness * 100) self.ui.ring_thickness_doubleSpinBox.setMaximum(self.max_ring_thickness) self.ui.ring_thickness_doubleSpinBox.setValue(default_ring_thickness) @@ -220,16 +204,15 @@ def init_widgets(self): _pen.setWidthF(0.01) self.ring_pen = _pen - self.block_signals(list_ui=list_ui, - block_status=False) + self.block_signals(list_ui=list_ui, block_status=False) - self.ui.angle_bin_horizontalSlider.setMinimum(self.angle_bin['minimum']) - self.ui.angle_bin_horizontalSlider.setMaximum(self.angle_bin['maximum']) - self.ui.angle_bin_horizontalSlider.setValue(self.angle_bin['value']) + self.ui.angle_bin_horizontalSlider.setMinimum(self.angle_bin["minimum"]) + self.ui.angle_bin_horizontalSlider.setMaximum(self.angle_bin["maximum"]) + self.ui.angle_bin_horizontalSlider.setValue(self.angle_bin["value"]) - self.ui.angle_bin_units.setText(u"\u00b0") - self.ui.angle_bin_value.setText("{:.2f}".format(self.angle_bin['value']/100)) - self.ui.angle_cursor_units.setText(u"\u00b0") + self.ui.angle_bin_units.setText("\u00b0") + self.ui.angle_bin_value.setText("{:.2f}".format(self.angle_bin["value"] / 100)) + self.ui.angle_cursor_units.setText("\u00b0") self.ui.profile_list_images.addItems(self.list_short_files) @@ -276,27 +259,25 @@ def display_grid(self): pos = np.array(pos) adj = np.array(adj) - line_color = (self.guide_color_slider['red'], - self.guide_color_slider['green'], - self.guide_color_slider['blue'], - self.guide_color_slider['alpha'], 0.5) - lines = np.array([line_color for n in np.arange(len(pos))], - dtype=[('red', np.ubyte), ('green', np.ubyte), - ('blue', np.ubyte), ('alpha', np.ubyte), - ('width', float)]) + line_color = ( + self.guide_color_slider["red"], + self.guide_color_slider["green"], + self.guide_color_slider["blue"], + self.guide_color_slider["alpha"], + 0.5, + ) + lines = np.array( + [line_color for n in np.arange(len(pos))], + dtype=[("red", np.ubyte), ("green", np.ubyte), ("blue", np.ubyte), ("alpha", np.ubyte), ("width", float)], + ) line_view_binning = pg.GraphItem() self.ui.image_view.addItem(line_view_binning) - line_view_binning.setData(pos=pos, - adj=adj, - pen=lines, - symbol=None, - pxMode=False) + line_view_binning.setData(pos=pos, adj=adj, pen=lines, symbol=None, pxMode=False) self.line_view_binning = line_view_binning def display_ring(self): - if self.inner_ring_roi: self.ui.image_view.removeItem(self.inner_ring_roi) self.ui.image_view.removeItem(self.outer_ring_roi) @@ -314,36 +295,42 @@ def display_ring(self): outer_ring_circle_width = 2 * (ring_radius + ring_thickness) outer_x0 = x_central_pixel - ring_radius - ring_thickness outer_y0 = y_central_pixel - ring_radius - ring_thickness - self.display_inner_and_outer_ring(inner_x0=inner_x0, - inner_y0=inner_y0, - inner_width_and_height=inner_width_and_height, - outer_width_and_height=outer_ring_circle_width, - outer_x0=outer_x0, - outer_y0=outer_y0, - ) - - def display_inner_and_outer_ring(self, inner_x0=None, inner_y0=None, - inner_width_and_height=None, - outer_x0=None, outer_y0=None, - outer_width_and_height=None): - + self.display_inner_and_outer_ring( + inner_x0=inner_x0, + inner_y0=inner_y0, + inner_width_and_height=inner_width_and_height, + outer_width_and_height=outer_ring_circle_width, + outer_x0=outer_x0, + outer_y0=outer_y0, + ) + + def display_inner_and_outer_ring( + self, + inner_x0=None, + inner_y0=None, + inner_width_and_height=None, + outer_x0=None, + outer_y0=None, + outer_width_and_height=None, + ): if self.inner_ring_roi: self.ui.image_view.removeItem(self.inner_ring_roi) - self.inner_ring_roi = pg.CircleROI([inner_x0, inner_y0], - [inner_width_and_height, inner_width_and_height], - movable=True, - pen=self.ring_pen) + self.inner_ring_roi = pg.CircleROI( + [inner_x0, inner_y0], [inner_width_and_height, inner_width_and_height], movable=True, pen=self.ring_pen + ) self.ui.image_view.addItem(self.inner_ring_roi) self.inner_ring_roi.sigRegionChanged.connect(self.manual_inner_ring_changed) self.inner_ring_roi.sigRegionChangeFinished.connect(self.manual_inner_ring_change_finished) if self.outer_ring_roi: self.ui.image_view.removeItem(self.outer_ring_roi) - self.outer_ring_roi = pg.CircleROI([outer_x0, outer_y0], - [outer_width_and_height, outer_width_and_height], - movable=True, - resizable=False, - pen=self.ring_pen) + self.outer_ring_roi = pg.CircleROI( + [outer_x0, outer_y0], + [outer_width_and_height, outer_width_and_height], + movable=True, + resizable=False, + pen=self.ring_pen, + ) self.remove_handles(ring_ui=self.outer_ring_roi) self.outer_ring_roi.sigRegionChanged.connect(self.manual_outer_ring_changed) self.outer_ring_roi.sigRegionChangeFinished.connect(self.manual_outer_ring_change_finished) @@ -364,16 +351,12 @@ def manual_inner_ring_change_finished(self): self.display_mode_changed() def manual_inner_ring_changed(self): - self.ui.image_view.removeItem(self.outer_ring_roi) - list_ui = [self.ui.ring_inner_radius_doubleSpinBox, - self.ui.ring_inner_radius_slider] - self.block_signals(list_ui=list_ui, - block_status=True) + list_ui = [self.ui.ring_inner_radius_doubleSpinBox, self.ui.ring_inner_radius_slider] + self.block_signals(list_ui=list_ui, block_status=True) - region = self.inner_ring_roi.getArraySlice(self.current_live_image, - self.ui.image_view.imageItem) + region = self.inner_ring_roi.getArraySlice(self.current_live_image, self.ui.image_view.imageItem) x0 = region[0][0].start x1 = region[0][0].stop y0 = region[0][1].start @@ -390,17 +373,16 @@ def manual_inner_ring_changed(self): if y1 + thickness >= self.height: self.replot_inner_ring(x0=x0, y0=y0, x1=x1, y1=y1) - region = self.inner_ring_roi.getArraySlice(self.current_live_image, - self.ui.image_view.imageItem) + region = self.inner_ring_roi.getArraySlice(self.current_live_image, self.ui.image_view.imageItem) x0 = region[0][0].start x1 = region[0][0].stop y0 = region[0][1].start y1 = region[0][1].stop - ring_radius = int(x1 - x0)/2 + ring_radius = int(x1 - x0) / 2 self.ui.ring_inner_radius_doubleSpinBox.setValue(ring_radius) - self.ui.ring_inner_radius_slider.setValue(100*ring_radius) + self.ui.ring_inner_radius_slider.setValue(100 * ring_radius) x_central_pixel = np.mean([x1, x0]) y_central_pixel = np.mean([y1, y0]) @@ -410,12 +392,13 @@ def manual_inner_ring_changed(self): ring_thickness = self.ui.ring_thickness_doubleSpinBox.value() outer_ring_circle_width = 2 * (ring_radius + ring_thickness) - self.outer_ring_roi = pg.CircleROI([x_central_pixel - ring_radius - ring_thickness, - y_central_pixel - ring_radius - ring_thickness], - [outer_ring_circle_width, outer_ring_circle_width], - movable=True, - resizable=False, - pen=self.ring_pen) + self.outer_ring_roi = pg.CircleROI( + [x_central_pixel - ring_radius - ring_thickness, y_central_pixel - ring_radius - ring_thickness], + [outer_ring_circle_width, outer_ring_circle_width], + movable=True, + resizable=False, + pen=self.ring_pen, + ) self.ui.image_view.addItem(self.outer_ring_roi) self.remove_handles(ring_ui=self.outer_ring_roi) self.outer_ring_roi.sigRegionChanged.connect(self.manual_outer_ring_changed) @@ -424,8 +407,7 @@ def manual_inner_ring_changed(self): self.vLine.setValue(x_central_pixel) self.hLine.setValue(y_central_pixel) - self.block_signals(list_ui=list_ui, - block_status=False) + self.block_signals(list_ui=list_ui, block_status=False) def replot_outer_ring(self, x0=None, y0=None, x1=None, y1=None): ring_radius = self.ui.ring_inner_radius_doubleSpinBox.value() @@ -434,12 +416,13 @@ def replot_outer_ring(self, x0=None, y0=None, x1=None, y1=None): ring_thickness = self.ui.ring_thickness_doubleSpinBox.value() outer_ring_circle_width = 2 * (ring_radius + ring_thickness) self.ui.image_view.removeItem(self.outer_ring_roi) - self.outer_ring_roi = pg.CircleROI([x_central_pixel - ring_radius - ring_thickness, - y_central_pixel - ring_radius - ring_thickness], - [outer_ring_circle_width, outer_ring_circle_width], - movable=True, - resizable=False, - pen=self.ring_pen) + self.outer_ring_roi = pg.CircleROI( + [x_central_pixel - ring_radius - ring_thickness, y_central_pixel - ring_radius - ring_thickness], + [outer_ring_circle_width, outer_ring_circle_width], + movable=True, + resizable=False, + pen=self.ring_pen, + ) self.ui.image_view.addItem(self.outer_ring_roi) self.remove_handles(ring_ui=self.outer_ring_roi) self.outer_ring_roi.sigRegionChanged.connect(self.manual_outer_ring_changed) @@ -452,11 +435,12 @@ def replot_inner_ring(self, x0=None, y0=None, x1=None, y1=None): inner_ring_radius = ring_radius inner_ring_circle_width = 2 * inner_ring_radius self.ui.image_view.removeItem(self.inner_ring_roi) - self.inner_ring_roi = pg.CircleROI([x_central_pixel - inner_ring_radius, - y_central_pixel - inner_ring_radius], - [inner_ring_circle_width, inner_ring_circle_width], - movable=True, - pen=self.ring_pen) + self.inner_ring_roi = pg.CircleROI( + [x_central_pixel - inner_ring_radius, y_central_pixel - inner_ring_radius], + [inner_ring_circle_width, inner_ring_circle_width], + movable=True, + pen=self.ring_pen, + ) self.ui.image_view.addItem(self.inner_ring_roi) self.inner_ring_roi.sigRegionChanged.connect(self.manual_inner_ring_changed) @@ -465,16 +449,16 @@ def manual_outer_ring_change_finished(self): self.display_mode_changed() def manual_outer_ring_changed(self): - list_ui = [self.ui.ring_inner_radius_doubleSpinBox, - self.ui.ring_inner_radius_slider, - self.ui.ring_thickness_doubleSpinBox, - self.ui.ring_thickness_slider] - self.block_signals(list_ui=list_ui, - block_status=True) + list_ui = [ + self.ui.ring_inner_radius_doubleSpinBox, + self.ui.ring_inner_radius_slider, + self.ui.ring_thickness_doubleSpinBox, + self.ui.ring_thickness_slider, + ] + self.block_signals(list_ui=list_ui, block_status=True) # outer ring - region = self.outer_ring_roi.getArraySlice(self.current_live_image, - self.ui.image_view.imageItem) + region = self.outer_ring_roi.getArraySlice(self.current_live_image, self.ui.image_view.imageItem) x0 = region[0][0].start x1 = region[0][0].stop y0 = region[0][1].start @@ -508,32 +492,31 @@ def manual_outer_ring_changed(self): self.ui.image_view.removeItem(self.inner_ring_roi) inner_ring_radius = inner_radius inner_ring_circle_width = 2 * inner_ring_radius - self.inner_ring_roi = pg.CircleROI([x_central_pixel - inner_ring_radius, - y_central_pixel - inner_ring_radius], - [inner_ring_circle_width, inner_ring_circle_width], - movable=True, - pen=self.ring_pen) + self.inner_ring_roi = pg.CircleROI( + [x_central_pixel - inner_ring_radius, y_central_pixel - inner_ring_radius], + [inner_ring_circle_width, inner_ring_circle_width], + movable=True, + pen=self.ring_pen, + ) self.ui.image_view.addItem(self.inner_ring_roi) self.inner_ring_roi.sigRegionChanged.connect(self.manual_inner_ring_changed) self.vLine.setValue(x_central_pixel) self.hLine.setValue(y_central_pixel) - self.block_signals(list_ui=list_ui, - block_status=False) + self.block_signals(list_ui=list_ui, block_status=False) def manual_ring_changed(self): - - list_ui = [self.ui.ring_inner_radius_doubleSpinBox, - self.ui.ring_inner_radius_slider, - self.ui.ring_thickness_doubleSpinBox, - self.ui.ring_thickness_slider] - self.block_signals(list_ui=list_ui, - block_status=True) + list_ui = [ + self.ui.ring_inner_radius_doubleSpinBox, + self.ui.ring_inner_radius_slider, + self.ui.ring_thickness_doubleSpinBox, + self.ui.ring_thickness_slider, + ] + self.block_signals(list_ui=list_ui, block_status=True) # inner ring - region = self.inner_ring_roi.getArraySlice(self.current_live_image, - self.ui.image_view.imageItem) + region = self.inner_ring_roi.getArraySlice(self.current_live_image, self.ui.image_view.imageItem) x0 = region[0][0].start x1 = region[0][0].stop y0 = region[0][1].start @@ -550,37 +533,34 @@ def manual_ring_changed(self): if y1 + thickness >= self.height: self.replot_inner_ring(x0=x0, y0=y0, x1=x1, y1=y1) - region = self.inner_ring_roi.getArraySlice(self.current_live_image, - self.ui.image_view.imageItem) + region = self.inner_ring_roi.getArraySlice(self.current_live_image, self.ui.image_view.imageItem) x0 = region[0][0].start x1 = region[0][0].stop # y0 = region[0][1].start # y1 = region[0][1].end - radius_1 = int(x1 - x0)/2 + radius_1 = int(x1 - x0) / 2 # outer ring - region = self.outer_ring_roi.getArraySlice(self.current_live_image, - self.ui.image_view.imageItem) + region = self.outer_ring_roi.getArraySlice(self.current_live_image, self.ui.image_view.imageItem) x0 = region[0][0].start x1 = region[0][0].stop - radius_2 = int(x1 - x0)/2 + radius_2 = int(x1 - x0) / 2 radius_inner = np.min([radius_1, radius_2]) radius_outer = np.max([radius_1, radius_2]) thickness = np.abs(radius_1 - radius_2) self.ui.ring_inner_radius_doubleSpinBox.setValue(radius_inner) - self.ui.ring_inner_radius_slider.setValue(radius_inner*100) + self.ui.ring_inner_radius_slider.setValue(radius_inner * 100) self.ui.ring_thickness_doubleSpinBox.setValue(thickness) - self.ui.ring_thickness_slider.setValue(thickness*100) + self.ui.ring_thickness_slider.setValue(thickness * 100) if radius_outer > self.max_ring_thickness: self.max_ring_thickness = radius_outer - radius_inner - self.ui.ring_thickness_slider.setMaximum(self.max_ring_thickness*100) + self.ui.ring_thickness_slider.setMaximum(self.max_ring_thickness * 100) self.ui.ring_thickness_doubleSpinBox.setMaximum(self.max_ring_thickness) - self.block_signals(list_ui=list_ui, - block_status=False) + self.block_signals(list_ui=list_ui, block_status=False) def block_signals(self, list_ui=None, block_status=True): for _ui in list_ui: @@ -592,10 +572,10 @@ def manual_circle_center_changed_finished(self): def manual_circle_center_changed(self): new_x0 = float(self.vLine.value()) - self.ui.circle_x.setText("{:.2f}".format(new_x0)) + self.ui.circle_x.setText(f"{new_x0:.2f}") new_y0 = float(self.hLine.value()) - self.ui.circle_y.setText("{:.2f}".format(new_y0)) + self.ui.circle_y.setText(f"{new_y0:.2f}") self.display_ring() def help_button_clicked(self): @@ -607,10 +587,10 @@ def guide_color_changed(self, index_position): green = self.ui.guide_green_slider.value() blue = self.ui.guide_blue_slider.value() alpha = self.ui.guide_alpha_slider.value() - self.guide_color_slider['red'] = red - self.guide_color_slider['green'] = green - self.guide_color_slider['blue'] = blue - self.guide_color_slider['alpha'] = alpha + self.guide_color_slider["red"] = red + self.guide_color_slider["green"] = green + self.guide_color_slider["blue"] = blue + self.guide_color_slider["alpha"] = alpha # self.circle_center_changed() self.ui.image_view.removeItem(self.line_view_binning) @@ -666,28 +646,28 @@ def slider_image_changed(self, new_index=0): # self.histogram_level[1]) def ring_settings_thickness_slider_changed(self, slider_value): - self.ui.ring_thickness_doubleSpinBox.setValue(slider_value/100) + self.ui.ring_thickness_doubleSpinBox.setValue(slider_value / 100) self.display_ring() def ring_settings_thickness_slider_released(self): self.display_mode_changed() def ring_settings_thickness_double_spin_box_changed(self, spin_box_value): - self.ui.ring_thickness_slider.setValue(int(spin_box_value*100)) + self.ui.ring_thickness_slider.setValue(int(spin_box_value * 100)) self.display_ring() def ring_settings_thickness_double_spin_box_finished(self): self.display_mode_changed() def ring_settings_inner_radius_slider_changed(self, slider_value): - self.ui.ring_inner_radius_doubleSpinBox.setValue(slider_value/100) + self.ui.ring_inner_radius_doubleSpinBox.setValue(slider_value / 100) self.display_ring() def ring_settings_inner_radius_slider_released(self): self.display_mode_changed() def ring_settings_inner_radius_double_spin_box_changed(self, spin_box_value): - self.ui.ring_inner_radius_slider.setValue(int(spin_box_value*100)) + self.ui.ring_inner_radius_slider.setValue(int(spin_box_value * 100)) self.display_ring() def ring_settings_inner_radius_double_spin_box_finished(self): @@ -715,8 +695,8 @@ def calculate_profiles_clicked(self): QGuiApplication.processEvents() def angle_bin_slider_moved(self, slider_value): - real_bin_value = slider_value/100 - self.ui.angle_bin_value.setText("{:.2f}".format(real_bin_value)) + real_bin_value = slider_value / 100 + self.ui.angle_bin_value.setText(f"{real_bin_value:.2f}") def display_mode_changed(self): if self.ui.display_radiographs_radioButton.isChecked(): @@ -771,7 +751,7 @@ def angle_cursor_dial_moved(self, value): value = Interface.format_angle_degrees(value) right_comma_value = self.ui.angle_cursor_dial_2.value() - right_comma_formatted = Interface.format_angle_minutes(right_comma_value)/100. + right_comma_formatted = Interface.format_angle_minutes(right_comma_value) / 100.0 full_value = value + right_comma_formatted self.ui.angle_cursor_value.setText(str(full_value)) @@ -782,7 +762,7 @@ def angle_cursor_dial2_moved(self, value): value = Interface.format_angle_minutes(value) left_comma_value = Interface.format_angle_degrees(self.ui.angle_cursor_dial.value()) - full_value = float(left_comma_value + value/100.) + full_value = float(left_comma_value + value / 100.0) self.ui.angle_cursor_value.setText(str(full_value)) o_event = Event(value=full_value) @@ -790,8 +770,7 @@ def angle_cursor_dial2_moved(self, value): class Event: - - xdata = 0. + xdata = 0.0 def __init__(self, value): self.xdata = value diff --git a/notebooks/__code/combine_folders.py b/notebooks/__code/combine_folders.py index d6bd899e..aaaf3228 100755 --- a/notebooks/__code/combine_folders.py +++ b/notebooks/__code/combine_folders.py @@ -1,47 +1,50 @@ import glob -import os -from ipywidgets import widgets -from IPython.display import display, HTML -import numpy as np import logging +import os from shutil import copy2 +import numpy as np +from IPython.display import HTML, display +from ipywidgets import widgets from NeuNorm.normalization import Normalization from __code import file_handler -from __code.ipywe import fileselector from __code._utilities.file import get_full_home_file_name +from __code.ipywe import fileselector LOG_FILE_NAME = ".combine_folders.log" -class CombineFolders(object): - working_dir = '' +class CombineFolders: + working_dir = "" list_folders = [] list_folders_short = [] # short name of list of folders list_files_dict = {} - nbr_files_in_each_folder = np.NaN + nbr_files_in_each_folder = np.nan global_list_of_folders_to_combine = [] - def __init__(self, working_dir=''): + def __init__(self, working_dir=""): self.working_dir = working_dir self.list_folders_short = [] self.global_list_of_folders_to_combine = [] self.log_file_name = get_full_home_file_name(LOG_FILE_NAME) - logging.basicConfig(filename=self.log_file_name, - filemode='w', - format='[%(levelname)s] - %(asctime)s - %(message)s', - level=logging.INFO) + logging.basicConfig( + filename=self.log_file_name, + filemode="w", + format="[%(levelname)s] - %(asctime)s - %(message)s", + level=logging.INFO, + ) logging.info("*** Starting a new session ***") def select_folders(self): - - self.done_button = widgets.Button(description="Click me when done selecting folders!", - # button_style="success", - disabled=True, - layout=widgets.Layout(width="100%")) + self.done_button = widgets.Button( + description="Click me when done selecting folders!", + # button_style="success", + disabled=True, + layout=widgets.Layout(width="100%"), + ) self.done_button.on_click(self.stop_selecting_folders) vertical_layout = widgets.VBox([self.done_button]) @@ -50,11 +53,13 @@ def select_folders(self): self.select_folders_file_selector() def select_folders_file_selector(self): - self.folder_list_widget = fileselector.FileSelectorPanel(instruction='select folder to combine', - start_dir=self.working_dir, - type='directory', - next=self.add_folder_selected_to_global_list, - multiple=True) + self.folder_list_widget = fileselector.FileSelectorPanel( + instruction="select folder to combine", + start_dir=self.working_dir, + type="directory", + next=self.add_folder_selected_to_global_list, + multiple=True, + ) self.folder_list_widget.show() def add_folder_selected_to_global_list(self, list_folders): @@ -78,8 +83,11 @@ def stop_selecting_folders(self, value): if are_folders_valid: pass else: - display(HTML('Folders must contain the same number' - ' of images!')) + display( + HTML( + 'Folders must contain the same number' " of images!" + ) + ) def check_validity_of_folders_selected(self): global_list_of_folders = self.global_list_of_folders_to_combine @@ -90,10 +98,10 @@ def check_validity_of_folders_selected(self): for _folder in global_list_of_folders: _dict_list_of_files = self.__get_list_files(folder=_folder) - _file_format = _dict_list_of_files['file_format'] + _file_format = _dict_list_of_files["file_format"] file_format.append(_file_format) - _nbr_of_files = len(_dict_list_of_files['list_files']) + _nbr_of_files = len(_dict_list_of_files["list_files"]) nbr_of_files.append(_nbr_of_files) logging.info(f"> folder: {_folder}") @@ -102,45 +110,44 @@ def check_validity_of_folders_selected(self): set_nbr_of_files = set(nbr_of_files) if len(set_nbr_of_files) > 1: - logging.info(f" Nbr of files do not match - STOP") + logging.info(" Nbr of files do not match - STOP") return False set_file_format = set(file_format) if len(set_file_format) > 1: - logging.info(f" More than 1 type of file format - STOP") + logging.info(" More than 1 type of file format - STOP") return False if set_nbr_of_files.pop() == 0: - logging.info(f" 0 files found!") + logging.info(" 0 files found!") return False self.check_number_of_files(list_folders=global_list_of_folders) return True - def __get_list_files(self, file_format='', folder=''): - if file_format == '': + def __get_list_files(self, file_format="", folder=""): + if file_format == "": _list_tif_files = glob.glob(folder + "/*.tif") if len(_list_tif_files) > 0: - return {'file_format': 'tif', 'list_files': _list_tif_files} + return {"file_format": "tif", "list_files": _list_tif_files} _list_tiff_files = glob.glob(folder + "/*.tiff") if len(_list_tiff_files) > 0: - return {'file_format': 'tiff', 'list_files': _list_tiff_files} + return {"file_format": "tiff", "list_files": _list_tiff_files} _list_fits_files = glob.glob(folder + "/*.fits") if len(_list_fits_files) > 0: - return {'file_format': 'fits', 'list_files': _list_fits_files} + return {"file_format": "fits", "list_files": _list_fits_files} else: - return {'file_format': '', 'list_files': []} + return {"file_format": "", "list_files": []} else: _list_files = glob.glob(folder + "/*." + file_format) - return {'file_format': file_format, 'list_files': _list_files} + return {"file_format": file_format, "list_files": _list_files} - def __get_full_list_files(self, folder=''): + def __get_full_list_files(self, folder=""): list_format_to_check = ["tif*", "fits", "txt"] full_list_files_dict = {} for _format in list_format_to_check: - full_list_files_dict[_format] = self.__get_list_files(file_format=_format, - folder=folder)['list_files'] + full_list_files_dict[_format] = self.__get_list_files(file_format=_format, folder=folder)["list_files"] return full_list_files_dict def check_number_of_files(self, list_folders): @@ -152,13 +159,13 @@ def check_number_of_files(self, list_folders): self.list_folders = list_folders nbr_files = {} - file_format = '' + file_format = "" for _folder in self.list_folders: _local_list_files_dict = self.__get_list_files(file_format=file_format, folder=_folder) - _list_files = _local_list_files_dict['list_files'] + _list_files = _local_list_files_dict["list_files"] _list_files.sort() - _format = _local_list_files_dict['file_format'] + _format = _local_list_files_dict["file_format"] _short = os.path.basename(_folder) list_files_dict[_short] = _list_files @@ -170,20 +177,32 @@ def check_number_of_files(self, list_folders): values = set(nbr_files.values()) if len(values) > 1: logging.info("Folders do not contain the same number of files") - display(HTML('Status: ' - 'All the folders selected DO NOT ' + \ - 'contain the same number of files ')) -# raise ValueError("Folder do not have the same number of files!") + display( + HTML( + 'Status: ' + 'All the folders selected DO NOT ' + + "contain the same number of files " + ) + ) + # raise ValueError("Folder do not have the same number of files!") else: logging.info("Number of files per folder match!") - display(HTML('Status: ' - 'All the folders selected contain the ' + \ - 'same number of files ')) - display(HTML('Format: ' + _format + '')) + display( + HTML( + 'Status: ' + 'All the folders selected contain the ' + + "same number of files " + ) + ) + display( + HTML( + 'Format: ' + _format + "" + ) + ) display(HTML(' List of folders selected: ')) for _folder in self.list_folders: - display(HTML(' * ' + _folder + '')) + display(HTML(' * ' + _folder + "")) self.nbr_files_in_each_folder = list(values)[0] @@ -192,18 +211,15 @@ def check_number_of_files(self, list_folders): def how_many_folders(self): nbr_folder = len(self.global_list_of_folders_to_combine) radio_list_string = [str(_index) for _index in np.arange(2, nbr_folder + 1)] - self.bin_size = widgets.RadioButtons(options=radio_list_string, - value=radio_list_string[0]) + self.bin_size = widgets.RadioButtons(options=radio_list_string, value=radio_list_string[0]) display(self.bin_size) def how_to_combine(self): - self.combine_method = widgets.RadioButtons(options=['add', 'mean', 'median'], - value='add') + self.combine_method = widgets.RadioButtons(options=["add", "mean", "median"], value="add") display(self.combine_method) def extra_files(self): - self.keep_extra_files = widgets.RadioButtons(options=['yes', 'no'], - value='yes') + self.keep_extra_files = widgets.RadioButtons(options=["yes", "no"], value="yes") display(self.keep_extra_files) def __create_merging_dictionary(self): @@ -214,7 +230,7 @@ def __create_merging_dictionary(self): _index_folder = 0 merging_dict = {} - while (_index_folder < len(_list_folders_short)): + while _index_folder < len(_list_folders_short): _new_folder_name_list = [] from_index = _index_folder to_index = from_index + (merging_value) @@ -240,11 +256,11 @@ def merging(self, output_folder): # get merging algorithm merging_algo = self.combine_method.value - if merging_algo == 'add': + if merging_algo == "add": algorithm = self.__add - elif merging_algo == 'mean': + elif merging_algo == "mean": algorithm = self.__mean - elif merging_algo == 'median': + elif merging_algo == "median": algorithm = self.__median else: raise NotImplementedError(f"Algorithm {merging_algo} has not been implemented yet!") @@ -264,33 +280,35 @@ def merging(self, output_folder): self.final_dict_of_files_to_merge_debugging = final_dict_of_files_to_merge final_nbr_folders = len(merging_dict.keys()) - folder_level_ui = widgets.HBox([widgets.Label("Folder Progress:", - layout=widgets.Layout(width='20%')), - widgets.IntProgress(max=final_nbr_folders, - layout=widgets.Layout(width='50%'))]) + folder_level_ui = widgets.HBox( + [ + widgets.Label("Folder Progress:", layout=widgets.Layout(width="20%")), + widgets.IntProgress(max=final_nbr_folders, layout=widgets.Layout(width="50%")), + ] + ) display(folder_level_ui) w1 = folder_level_ui.children[1] nbr_files_to_merge = self.nbr_files_in_each_folder - file_level_ui = widgets.HBox([widgets.Label("File Progress:", - layout=widgets.Layout(width='20%')), - widgets.IntProgress(max=nbr_files_to_merge, - layout=widgets.Layout(width='50%'))]) + file_level_ui = widgets.HBox( + [ + widgets.Label("File Progress:", layout=widgets.Layout(width="20%")), + widgets.IntProgress(max=nbr_files_to_merge, layout=widgets.Layout(width="50%")), + ] + ) display(file_level_ui) w2 = file_level_ui.children[1] for _index_final_folder, _final_folder in enumerate(final_dict_of_files_to_merge.keys()): - file_handler.make_or_reset_folder(os.path.join(output_folder, _final_folder)) list_files_to_merge = final_dict_of_files_to_merge[_final_folder] for _index_files_to_merge, _files_to_merge in enumerate(list_files_to_merge): - _files_to_merge = [_file for _file in _files_to_merge] self.files_to_merge_for_testing = _files_to_merge o_load = Normalization() o_load.load(file=_files_to_merge) - _data = o_load.data['sample']['data'] + _data = o_load.data["sample"]["data"] combined_data = self.__merging_algorithm(algorithm, _data) self.combined_data_for_testing = combined_data @@ -302,7 +320,7 @@ def merging(self, output_folder): file_handler.save_data(data=combined_data, filename=output_file_name) w2.value = _index_files_to_merge + 1 - if self.keep_extra_files.value == 'yes': + if self.keep_extra_files.value == "yes": self.move_extra_files_to_output_folder(output_folder=os.path.join(output_folder, _final_folder)) w1.value = _index_final_folder + 1 @@ -315,7 +333,7 @@ def move_extra_files_to_output_folder(self, output_folder="./"): first_folder = self.global_list_of_folders_to_combine[0] logging.info(f"-> using source folder: {first_folder}") full_list_files = self.__get_full_list_files(folder=first_folder) - list_txt = full_list_files['txt'] + list_txt = full_list_files["txt"] logging.info(f"-> found the following files: {list_txt}") for _file in list_txt: logging.info(f"--> copying {_file} to {output_folder}") @@ -330,7 +348,7 @@ def __create_dict_of_files_to_merge(self, merging_dict): _tmp_list_files_to_merge = [] for _folder in _list_folders_to_add: _tmp_list_files_to_merge.append(list_files_dict[_folder]) - final_dict_of_files_to_merge[_key] = list(zip(*_tmp_list_files_to_merge)) + final_dict_of_files_to_merge[_key] = list(zip(*_tmp_list_files_to_merge, strict=False)) return final_dict_of_files_to_merge @@ -347,9 +365,10 @@ def __merging_algorithm(self, function_, *args): return function_(*args) def select_output_folder(self): - self.output_folder_widget = fileselector.FileSelectorPanel(instruction='select where to create the ' + \ - 'output folders ...', - start_dir=self.working_dir, - next=self.merging, - type='directory') + self.output_folder_widget = fileselector.FileSelectorPanel( + instruction="select where to create the " + "output folders ...", + start_dir=self.working_dir, + next=self.merging, + type="directory", + ) self.output_folder_widget.show() diff --git a/notebooks/__code/combine_images.py b/notebooks/__code/combine_images.py index cf3dc578..9e709dba 100755 --- a/notebooks/__code/combine_images.py +++ b/notebooks/__code/combine_images.py @@ -1,66 +1,72 @@ import os -from scipy.stats.mstats import gmean -from ipywidgets import widgets -from IPython.display import display, HTML -import numpy as np +import numpy as np +from IPython.display import HTML, display +from ipywidgets import widgets from NeuNorm.normalization import Normalization +from scipy.stats.mstats import gmean from __code import file_handler from __code.ipywe import fileselector -class CombineImages(object): - working_dir = '' +class CombineImages: + working_dir = "" - def __init__(self, working_dir=''): + def __init__(self, working_dir=""): self.working_dir = working_dir def select_files(self): - self.files_list_widget = fileselector.FileSelectorPanel(instruction='select files to combine', - start_dir=self.working_dir, - multiple=True) + self.files_list_widget = fileselector.FileSelectorPanel( + instruction="select files to combine", start_dir=self.working_dir, multiple=True + ) self.files_list_widget.show() def how_to_combine(self): - _file = open("__docs/combine_images/geometric_mean.png", 'rb') + _file = open("__docs/combine_images/geometric_mean.png", "rb") _geo_image = _file.read() - geo_box = widgets.HBox([widgets.Label("Geometric Mean", - layout=widgets.Layout(width='20%')), - widgets.Image(value=_geo_image, - format='png')]) - _file = open("__docs/combine_images/algebric_mean.png", 'rb') + geo_box = widgets.HBox( + [ + widgets.Label("Geometric Mean", layout=widgets.Layout(width="20%")), + widgets.Image(value=_geo_image, format="png"), + ] + ) + _file = open("__docs/combine_images/algebric_mean.png", "rb") _alge_image = _file.read() - alge_box = widgets.HBox([widgets.Label("Arithmetic Mean", - layout=widgets.Layout(width='20%')), - widgets.Image(value=_alge_image, - format='png')]) + alge_box = widgets.HBox( + [ + widgets.Label("Arithmetic Mean", layout=widgets.Layout(width="20%")), + widgets.Image(value=_alge_image, format="png"), + ] + ) - self.combine_method = widgets.RadioButtons(options=['add', 'arithmetic mean', 'geometric mean', 'median'], - value='arithmetic mean') + self.combine_method = widgets.RadioButtons( + options=["add", "arithmetic mean", "geometric mean", "median"], value="arithmetic mean" + ) vertical = widgets.VBox([alge_box, geo_box, self.combine_method]) display(vertical) def select_output_folder(self): - self.output_folder_widget = fileselector.FileSelectorPanel(instruction='select where to create the ' + \ - 'combined image ...', - start_dir=self.working_dir, - newdir_toolbar_button=True, - type='directory') + self.output_folder_widget = fileselector.FileSelectorPanel( + instruction="select where to create the " + "combined image ...", + start_dir=self.working_dir, + newdir_toolbar_button=True, + type="directory", + ) self.output_folder_widget.show() def __get_formated_merging_algo_name(self): _algo = self.combine_method.value - if _algo =='arithmetic mean': - return 'arithmetic_mean' - elif _algo == 'geometric mean': - return 'geometric_mean' - elif _algo == 'median': - return 'median' - elif _algo == 'add': - return 'add' + if _algo == "arithmetic mean": + return "arithmetic_mean" + elif _algo == "geometric mean": + return "geometric_mean" + elif _algo == "median": + return "median" + elif _algo == "add": + return "add" else: raise NotImplementedError(f"Algorithm {_algo} not implemented!") @@ -72,27 +78,26 @@ def define_output_filename(self): [default_new_name, ext] = self.__create_merged_file_name(list_files_names=short_list_files) display(widgets.HTML(value="
")) - - top_label = widgets.Label("Define the new output file name", - layout=widgets.Layout(width='100%')) + + top_label = widgets.Label("Define the new output file name", layout=widgets.Layout(width="100%")) folder_name = os.path.dirname(list_files[0]) - box1 = widgets.HBox([widgets.Label("Original folder name", - layout=widgets.Layout(width='20%')), - widgets.Label(f"{folder_name}", - layout=widgets.Layout(width='80%')), - ]) + box1 = widgets.HBox( + [ + widgets.Label("Original folder name", layout=widgets.Layout(width="20%")), + widgets.Label(f"{folder_name}", layout=widgets.Layout(width="80%")), + ] + ) display(box1) - box = widgets.HBox([widgets.Label("File Name", - layout=widgets.Layout(width='20%')), - widgets.Text("", - placeholder="Your file name here", - layout=widgets.Layout(width='60%')), - widgets.Label("_{}{}".format(merging_algo, ext), - layout=widgets.Layout(width='20%')), - ]) + box = widgets.HBox( + [ + widgets.Label("File Name", layout=widgets.Layout(width="20%")), + widgets.Text("", placeholder="Your file name here", layout=widgets.Layout(width="60%")), + widgets.Label(f"_{merging_algo}{ext}", layout=widgets.Layout(width="20%")), + ] + ) self.default_filename_ui = box.children[1] self.ext_ui = box.children[2] vertical_box = widgets.VBox([top_label, box]) @@ -106,13 +111,13 @@ def merging(self): # get merging algorithm merging_algo = self.combine_method.value - if merging_algo =='arithmetic mean': + if merging_algo == "arithmetic mean": algorithm = self.__arithmetic_mean - elif merging_algo == 'geometric mean': + elif merging_algo == "geometric mean": algorithm = self.__geo_mean - elif merging_algo == 'add': + elif merging_algo == "add": algorithm = self.__add - elif merging_algo == 'median': + elif merging_algo == "median": algorithm = self.__median else: raise NotImplementedError(f"algo {merging_algo} not implemented!") @@ -122,19 +127,19 @@ def merging(self): o_load = Normalization() o_load.load(file=list_files, notebook=True) - _data = o_load.data['sample']['data'] - _metadata = o_load.data['sample']['metadata'] + _data = o_load.data["sample"]["data"] + _metadata = o_load.data["sample"]["metadata"] - merging_ui = widgets.HBox([widgets.Label("Merging Progress", - layout=widgets.Layout(width='20%')), - widgets.IntProgress(max=2)]) + merging_ui = widgets.HBox( + [widgets.Label("Merging Progress", layout=widgets.Layout(width="20%")), widgets.IntProgress(max=2)] + ) display(merging_ui) w1 = merging_ui.children[1] combined_data = self.__merging_algorithm(algorithm, _data) w1.value = 1 - #_new_name = self.__create_merged_file_name(list_files_names=o_load.data['sample']['file_name']) + # _new_name = self.__create_merged_file_name(list_files_names=o_load.data['sample']['file_name']) _new_name = self.default_filename_ui.value + self.ext_ui.value output_file_name = os.path.join(output_folder, _new_name) @@ -142,10 +147,14 @@ def merging(self): w1.value = 2 - display(HTML('File created: ' + \ - os.path.basename(output_file_name) + '')) - display(HTML('In Folder: ' + \ - output_folder + '')) + display( + HTML( + 'File created: ' + + os.path.basename(output_file_name) + + "" + ) + ) + display(HTML('In Folder: ' + output_folder + "")) def __create_merged_file_name(self, list_files_names=[]): """Create the new base name using a combine name of all the input file @@ -154,14 +163,14 @@ def __create_merged_file_name(self, list_files_names=[]): :return: 'image001_image002.fits' """ - ext = '' + ext = "" list_base_name = [] for _file in list_files_names: basename = os.path.basename(_file) [_name, ext] = os.path.splitext(basename) list_base_name.append(_name) - return ('_'.join(list_base_name), ext) + return ("_".join(list_base_name), ext) def __add(self, data_array): return np.sum(data_array, axis=0) diff --git a/notebooks/__code/combine_images_n_by_n/combine_images_n_by_n.py b/notebooks/__code/combine_images_n_by_n/combine_images_n_by_n.py index 170dfad2..b38c84f3 100755 --- a/notebooks/__code/combine_images_n_by_n/combine_images_n_by_n.py +++ b/notebooks/__code/combine_images_n_by_n/combine_images_n_by_n.py @@ -1,32 +1,32 @@ -from scipy.stats.mstats import gmean -from ipywidgets import widgets -from IPython.display import display, HTML -import numpy as np -from pathlib import Path, PurePath -import os import glob +import os import random +from pathlib import Path, PurePath +import numpy as np +from IPython.display import HTML, display +from ipywidgets import widgets from NeuNorm.normalization import Normalization +from scipy.stats.mstats import gmean -from __code.file_folder_browser import FileFolderBrowser -from __code import file_handler -from __code.ipywe import fileselector, myfileselector -from __code._utilities.string import get_beginning_common_part_of_string_from_list from __code._utilities.file import make_or_increment_folder_name - +from __code._utilities.string import get_beginning_common_part_of_string_from_list +from __code.file_folder_browser import FileFolderBrowser +from __code.ipywe import myfileselector FILE_PREFIX = "image" -RENAMING_OPTIONS = ['use image_####.ext format', - 'use _####.ext format', - 're-use name of first image of group'] +RENAMING_OPTIONS = [ + "use image_####.ext format", + "use _####.ext format", + "re-use name of first image of group", +] -class CombineImagesNByN(object): - working_dir = '' +class CombineImagesNByN: + working_dir = "" - def __init__(self, working_dir=''): + def __init__(self, working_dir=""): self.working_dir = working_dir self.combine_method = None @@ -37,12 +37,10 @@ def __init__(self, working_dir=''): self.timespectra_file_name = None def select_images(self): - o_file_browser = FileFolderBrowser(working_dir=self.working_dir, - next_function=self.post_select_images) - self.list_files_selected = o_file_browser.select_images_with_search(instruction="Select images to combine", - multiple_flag=True, - filters={"TIFF": "*.tif*", - "FITS": "*.fits"}) + o_file_browser = FileFolderBrowser(working_dir=self.working_dir, next_function=self.post_select_images) + self.list_files_selected = o_file_browser.select_images_with_search( + instruction="Select images to combine", multiple_flag=True, filters={"TIFF": "*.tif*", "FITS": "*.fits"} + ) def post_select_images(self, list_of_images): if list_of_images: @@ -70,7 +68,7 @@ def post_select_images(self, list_of_images): def _check_if_working_with_time_spectra(self): input_folder = self.input_folder_selected - list_files = glob.glob(input_folder + '/*') + list_files = glob.glob(input_folder + "/*") for _file in list_files: if "_Spectra.txt" in _file: self.timespectra_file_name = _file @@ -105,29 +103,33 @@ def sorting_the_files(self): # tab 1 - full name list_files_base_name_only = [os.path.basename(_file) for _file in self.list_files] - vertical_layout_tab1 = widgets.VBox([widgets.HTML(value=f"{base_name}{ext}", - layout=widgets.Layout(width='100%')), - widgets.Select(options=list_files_base_name_only, - layout=widgets.Layout(width='100%', - height='700px')), - ]) + vertical_layout_tab1 = widgets.VBox( + [ + widgets.HTML(value=f"{base_name}{ext}", layout=widgets.Layout(width="100%")), + widgets.Select(options=list_files_base_name_only, layout=widgets.Layout(width="100%", height="700px")), + ] + ) # tab 2 - file_index self.list_files_by_index = self.sort_by_index() list_files_by_index_base_name_only = [os.path.basename(_file) for _file in self.list_files_by_index] - vertical_layout_tab2 = widgets.VBox([widgets.HTML(value=f"{base_name_before_index}_{index}{ext}", - layout=widgets.Layout(width='100%')), - widgets.Select(options=list_files_by_index_base_name_only, - layout=widgets.Layout(width='100%', - height='700px')), - ]) + vertical_layout_tab2 = widgets.VBox( + [ + widgets.HTML( + value=f"{base_name_before_index}_{index}{ext}", layout=widgets.Layout(width="100%") + ), + widgets.Select( + options=list_files_by_index_base_name_only, layout=widgets.Layout(width="100%", height="700px") + ), + ] + ) # main tab tab = widgets.Tab() tab.children = [vertical_layout_tab1, vertical_layout_tab2] - tab.set_title(0, 'by Full Name') - tab.set_title(1, 'by File Index') - tab.layout = widgets.Layout(height='800px') + tab.set_title(0, "by Full Name") + tab.set_title(1, "by File Index") + tab.layout = widgets.Layout(height="800px") display(tab) self.sorting_tab = tab @@ -138,21 +140,26 @@ def how_to_combine(self): else: self.list_files_sorted = self.list_files_by_index - _file = open("__docs/combine_images/geometric_mean.png", 'rb') + _file = open("__docs/combine_images/geometric_mean.png", "rb") _geo_image = _file.read() - geo_box = widgets.HBox([widgets.Label("Geometric Mean", - layout=widgets.Layout(width='20%')), - widgets.Image(value=_geo_image, - format='png')]) - _file = open("__docs/combine_images/algebric_mean.png", 'rb') + geo_box = widgets.HBox( + [ + widgets.Label("Geometric Mean", layout=widgets.Layout(width="20%")), + widgets.Image(value=_geo_image, format="png"), + ] + ) + _file = open("__docs/combine_images/algebric_mean.png", "rb") _alge_image = _file.read() - alge_box = widgets.HBox([widgets.Label("Arithmetic Mean", - layout=widgets.Layout(width='20%')), - widgets.Image(value=_alge_image, - format='png')]) + alge_box = widgets.HBox( + [ + widgets.Label("Arithmetic Mean", layout=widgets.Layout(width="20%")), + widgets.Image(value=_alge_image, format="png"), + ] + ) - self.combine_method = widgets.RadioButtons(options=['add', 'arithmetic mean', 'geometric mean', 'median'], - value='arithmetic mean') + self.combine_method = widgets.RadioButtons( + options=["add", "arithmetic mean", "geometric mean", "median"], value="arithmetic mean" + ) vertical = widgets.VBox([alge_box, geo_box, self.combine_method]) display(vertical) @@ -163,29 +170,30 @@ def how_many_files(self): nbr_files = 30 radio_list_string = [str(_index) for _index in np.arange(2, nbr_files + 1)] - vertical_layout = widgets.VBox([widgets.Dropdown(options=radio_list_string, - value=radio_list_string[0]), - widgets.Label("", - layout=widgets.Layout(width='100%'))]) + vertical_layout = widgets.VBox( + [ + widgets.Dropdown(options=radio_list_string, value=radio_list_string[0]), + widgets.Label("", layout=widgets.Layout(width="100%")), + ] + ) display(vertical_layout) self.bin_size_ui = vertical_layout.children[0] self.bin_size_label = vertical_layout.children[1] - self.bin_size_ui.observe(self.update_how_many_files, names='value') + self.bin_size_ui.observe(self.update_how_many_files, names="value") self.update_how_many_files() def _get_number_of_files_will_be_created(self, bin_value=2): - return int(len(self.list_files_sorted)/bin_value) + return int(len(self.list_files_sorted) / bin_value) def update_how_many_files(self, bin_value_object=None): if bin_value_object: - bin_value = int(bin_value_object['new']) + bin_value = int(bin_value_object["new"]) nbr_images = self._get_number_of_files_will_be_created(bin_value=bin_value) else: nbr_images = self._get_number_of_files_will_be_created() - message = "You are about to create {} files out of {} files selected.".format(nbr_images, - len(self.list_files_sorted)) + message = f"You are about to create {nbr_images} files out of {len(self.list_files_sorted)} files selected." self.bin_size_label.value = message def select_output_folder(self): @@ -195,28 +203,29 @@ def select_output_folder(self): # newdir_toolbar_button=True, # next=self.merging, # type='directory') - + self.output_folder_widget = myfileselector.FileSelectorPanelWithJumpFolders( - instruction='select folder with images to combine', + instruction="select folder with images to combine", start_dir=self.working_dir, - type='directory', + type="directory", next=self.merging, multiple=False, newdir_toolbar_button=True, ipts_folder=self.working_dir, show_jump_to_home=True, - show_jump_to_share=True) + show_jump_to_share=True, + ) def __get_formated_merging_algo_name(self): _algo = self.combine_method.value - if _algo =='arithmetic mean': - return 'arithmetic_mean' - elif _algo == 'geometric mean': - return 'geometric_mean' - elif _algo == 'median': - return 'median' - elif _algo == 'add': - return 'add' + if _algo == "arithmetic mean": + return "arithmetic_mean" + elif _algo == "geometric mean": + return "geometric_mean" + elif _algo == "median": + return "median" + elif _algo == "add": + return "add" else: raise NotImplementedError(f"Algorithm {_algo} not implemented yet!") @@ -255,7 +264,7 @@ def create_list_of_files_to_merge(self): if right_threshold > nbr_files: break - _working_list_files = list_files[_index: _index+bin_value] + _working_list_files = list_files[_index : _index + bin_value] if CombineImagesNByN.files_shared_same_base_name(_working_list_files): dict_list_files[global_index] = _working_list_files global_index += 1 @@ -269,36 +278,39 @@ def create_list_of_files_to_merge(self): def get_merging_algorithm(self): # get merging algorithm merging_algo = self.combine_method.value - if merging_algo == 'arithmetic mean': + if merging_algo == "arithmetic mean": return CombineImagesNByN.arithmetic_mean - elif merging_algo == 'geometric mean': + elif merging_algo == "geometric mean": return CombineImagesNByN.geo_mean - elif merging_algo == 'median': + elif merging_algo == "median": return CombineImagesNByN.median - elif merging_algo == 'add': + elif merging_algo == "add": return CombineImagesNByN.add raise NotImplementedError(f"merging algo {merging_algo} not implemented!") def get_merging_algorithm_name(self): merging_algo = self.combine_method.value - if merging_algo == 'arithmetic mean': - return 'arithmetic_mean' - elif merging_algo == 'geometric mean': - return 'geometric_mean' - elif merging_algo == 'median': - return 'median' - elif merging_algo == 'add': - return 'add' + if merging_algo == "arithmetic mean": + return "arithmetic_mean" + elif merging_algo == "geometric mean": + return "geometric_mean" + elif merging_algo == "median": + return "median" + elif merging_algo == "add": + return "add" raise NotImplementedError(f"merging algo {merging_algo} not implemented!") def preview_result(self): - how_to_rename_layout = widgets.VBox([widgets.Label("How to name output files:", - layout=widgets.Layout(width='100%')), - widgets.RadioButtons(options=RENAMING_OPTIONS, - layout=widgets.Layout(width='100%'), - value=RENAMING_OPTIONS[-1])]) + how_to_rename_layout = widgets.VBox( + [ + widgets.Label("How to name output files:", layout=widgets.Layout(width="100%")), + widgets.RadioButtons( + options=RENAMING_OPTIONS, layout=widgets.Layout(width="100%"), value=RENAMING_OPTIONS[-1] + ), + ] + ) display(how_to_rename_layout) self.how_to_rename_ui = how_to_rename_layout.children[1] @@ -307,53 +319,50 @@ def preview_result(self): # tab1 list_groups = list(self.dict_list_files.keys()) - self.group_dropdown = widgets.Dropdown(options=list_groups, - description="Groups") - self.list_files_per_group = widgets.Select(options=self.dict_list_files[list_groups[0]], - description="Files", - layout=widgets.Layout(width='100%', - height='400px')) - - new_file_name_label = widgets.Label("Output file name:", - layout=widgets.Layout(width='150px', - height='80px')) - self.new_file_name = widgets.Label(self.dict_list_new_files[0], - layout=widgets.Layout(width='400px', - height='80px')) + self.group_dropdown = widgets.Dropdown(options=list_groups, description="Groups") + self.list_files_per_group = widgets.Select( + options=self.dict_list_files[list_groups[0]], + description="Files", + layout=widgets.Layout(width="100%", height="400px"), + ) + + new_file_name_label = widgets.Label("Output file name:", layout=widgets.Layout(width="150px", height="80px")) + self.new_file_name = widgets.Label( + self.dict_list_new_files[0], layout=widgets.Layout(width="400px", height="80px") + ) hori1 = widgets.HBox([new_file_name_label, self.new_file_name]) - vbox1 = widgets.VBox([self.group_dropdown, - self.list_files_per_group, - hori1], - layout=widgets.Layout(height="600px")) + vbox1 = widgets.VBox( + [self.group_dropdown, self.list_files_per_group, hori1], layout=widgets.Layout(height="600px") + ) accordion_widgets = [vbox1] # tab2 if len(self.bad_dict_list_files.keys()) > 0: list_groups = list(self.bad_dict_list_files.keys()) - self.bad_group_dropdown = widgets.Dropdown(options=list_groups, - description="Bad Groups") - self.bad_list_files_per_group = widgets.Select(options=self.bad_dict_list_files[list_groups[0]], - description="Files", - layout=widgets.Layout(width='100%', - height='500px')) - vbox2 = widgets.VBox([self.bad_group_dropdown, - self.bad_list_files_per_group], - layout=widgets.Layout(height="600px")) - self.bad_group_dropdown.observe(self.bad_group_changed, names='value') + self.bad_group_dropdown = widgets.Dropdown(options=list_groups, description="Bad Groups") + self.bad_list_files_per_group = widgets.Select( + options=self.bad_dict_list_files[list_groups[0]], + description="Files", + layout=widgets.Layout(width="100%", height="500px"), + ) + vbox2 = widgets.VBox( + [self.bad_group_dropdown, self.bad_list_files_per_group], layout=widgets.Layout(height="600px") + ) + self.bad_group_dropdown.observe(self.bad_group_changed, names="value") accordion_widgets.append(vbox2) accordion = widgets.Accordion(children=accordion_widgets) - accordion.set_title(0, 'Good groups') + accordion.set_title(0, "Good groups") if len(self.bad_dict_list_files.keys()) > 0: - accordion.set_title(1, 'Groups with errors') + accordion.set_title(1, "Groups with errors") display(accordion) - self.group_dropdown.observe(self.group_changed, names='value') - self.how_to_rename_ui.observe(self.how_to_name_output_changed, names='value') + self.group_dropdown.observe(self.group_changed, names="value") + self.how_to_rename_ui.observe(self.how_to_name_output_changed, names="value") self.update_combined_file_name_widget() def create_dictionary_of_new_file_names(self): @@ -376,7 +385,7 @@ def create_dictionary_of_new_file_names(self): # using image_####.ext for _key in dict_list_files.keys(): - new_file_name = 'image_{:04d}.tiff'.format(_key) + new_file_name = f"image_{_key:04d}.tiff" dict_list_new_files[_key] = new_file_name elif renaming_option == RENAMING_OPTIONS[1]: @@ -386,7 +395,7 @@ def create_dictionary_of_new_file_names(self): list_files = dict_list_files[_key] base_list_files = [os.path.basename(_file) for _file in list_files] _common_part = get_beginning_common_part_of_string_from_list(list_of_text=base_list_files) - new_file_name = _common_part + '_{:03d}.tiff'.format(_key) + new_file_name = _common_part + f"_{_key:03d}.tiff" dict_list_new_files[_key] = new_file_name elif renaming_option == RENAMING_OPTIONS[2]: @@ -412,13 +421,13 @@ def how_to_name_output_changed(self, value): self.update_combined_file_name_widget() def group_changed(self, value): - new_group = value['new'] + new_group = value["new"] new_list_files = self.dict_list_files[new_group] self.list_files_per_group.options = new_list_files self.update_combined_file_name_widget() def bad_group_changed(self, value): - new_group = value['new'] + new_group = value["new"] new_bad_list_files = self.bad_dict_list_files[new_group] self.bad_list_files_per_group.options = new_bad_list_files @@ -431,35 +440,40 @@ def merging(self, output_folder): nbr_of_files_to_create = len(dict_list_files.keys()) algorithm = self.get_merging_algorithm() - horizontal_layout = widgets.HBox([widgets.Label("Merging Progress", - layout=widgets.Layout(width='20%')), - widgets.IntProgress(max=len(dict_list_files.keys()), - value=0, - layout=widgets.Layout(width='50%'))]) + horizontal_layout = widgets.HBox( + [ + widgets.Label("Merging Progress", layout=widgets.Layout(width="20%")), + widgets.IntProgress(max=len(dict_list_files.keys()), value=0, layout=widgets.Layout(width="50%")), + ] + ) global_slider = horizontal_layout.children[1] display(horizontal_layout) algo_name = self.get_merging_algorithm_name() output_folder_name = CombineImagesNByN.__create_output_folder_name( - output_folder=output_folder, - base_file_name=self.base_working_dir, - bin_value=self.bin_value, - algo_name=algo_name) + output_folder=output_folder, + base_file_name=self.base_working_dir, + bin_value=self.bin_value, + algo_name=algo_name, + ) output_folder_name = make_or_increment_folder_name(folder_name=output_folder_name) - output_timespectra_file_name = os.path.join(output_folder_name, - CombineImagesNByN.__create_timestamp_file_name()) - CombineImagesNByN.combine_timespectra(input_timespectra_file_name=self.timespectra_file_name, - output_timespectra_file_name=output_timespectra_file_name, - bin_value=self.bin_value, - merging_algorithm=algorithm) + output_timespectra_file_name = os.path.join( + output_folder_name, CombineImagesNByN.__create_timestamp_file_name() + ) + CombineImagesNByN.combine_timespectra( + input_timespectra_file_name=self.timespectra_file_name, + output_timespectra_file_name=output_timespectra_file_name, + bin_value=self.bin_value, + merging_algorithm=algorithm, + ) for _key in dict_list_files.keys(): list_files = dict_list_files[_key] o_load = Normalization() o_load.load(file=list_files, notebook=False) - _data = o_load.data['sample']['data'] - metadata = o_load.data['sample']['metadata'] + _data = o_load.data["sample"]["data"] + metadata = o_load.data["sample"]["metadata"] combined_data = CombineImagesNByN.merging_algorithm(algorithm, _data) del o_load @@ -468,30 +482,41 @@ def merging(self, output_folder): o_save = Normalization() o_save.load(data=combined_data) - o_save.data['sample']['metadata'] = [metadata[0]] - o_save.data['sample']['file_name'] = [output_file_name] - o_save.export(folder=output_folder_name, data_type='sample') + o_save.data["sample"]["metadata"] = [metadata[0]] + o_save.data["sample"]["file_name"] = [output_file_name] + o_save.export(folder=output_folder_name, data_type="sample") del o_save global_slider.value += 1 global_slider.close() - display(HTML('' + str(nbr_of_files_to_create) + - ' files have been created in ' + output_folder_name + '')) + display( + HTML( + '' + + str(nbr_of_files_to_create) + + " files have been created in " + + output_folder_name + + "" + ) + ) if self.timespectra_file_name: - display(HTML(' A new _Spectra.txt file has been created: ' \ - + output_timespectra_file_name + '')) + display( + HTML( + ' A new _Spectra.txt file has been created: ' + + output_timespectra_file_name + + "" + ) + ) @staticmethod - def combine_timespectra(input_timespectra_file_name=None, - output_timespectra_file_name=None, - bin_value=2, - merging_algorithm=None): + def combine_timespectra( + input_timespectra_file_name=None, output_timespectra_file_name=None, bin_value=2, merging_algorithm=None + ): if input_timespectra_file_name is None: return - data = np.genfromtxt(input_timespectra_file_name, delimiter='\t') + data = np.genfromtxt(input_timespectra_file_name, delimiter="\t") nbr_rows, nbr_columns = np.shape(data) time_axis_binned = [] @@ -502,35 +527,33 @@ def combine_timespectra(input_timespectra_file_name=None, if right_threshold >= nbr_rows: break - working_time_axis_to_bin = data[index: index + bin_value, 0] - working_count_axis_to_bin = data[index: index + bin_value, 1] + working_time_axis_to_bin = data[index : index + bin_value, 0] + working_count_axis_to_bin = data[index : index + bin_value, 1] time_axis_binned.append( - CombineImagesNByN.merging_algorithm(CombineImagesNByN.arithmetic_mean, - working_time_axis_to_bin)) - count_axis_binned.append(CombineImagesNByN.merging_algorithm(merging_algorithm, - working_count_axis_to_bin)) + CombineImagesNByN.merging_algorithm(CombineImagesNByN.arithmetic_mean, working_time_axis_to_bin) + ) + count_axis_binned.append(CombineImagesNByN.merging_algorithm(merging_algorithm, working_count_axis_to_bin)) - new_timespectra = list(zip(time_axis_binned, count_axis_binned)) + new_timespectra = list(zip(time_axis_binned, count_axis_binned, strict=False)) np.savetxt(output_timespectra_file_name, new_timespectra, delimiter="\t") @staticmethod - def __create_output_folder_name(output_folder="./", base_file_name='', bin_value=2, algo_name='add'): + def __create_output_folder_name(output_folder="./", base_file_name="", bin_value=2, algo_name="add"): output_folder = os.path.abspath(output_folder) - output_folder_name = os.path.join(output_folder, "{}_files_combined_by_{:d}_{}".format(base_file_name, - bin_value, - algo_name)) + output_folder_name = os.path.join( + output_folder, f"{base_file_name}_files_combined_by_{bin_value:d}_{algo_name}" + ) return output_folder_name @staticmethod def __create_merged_file_name(index=0): - """Create the new base name using a combine name of all the input file - """ - return FILE_PREFIX + '_{:03d}.tiff'.format(index) + """Create the new base name using a combine name of all the input file""" + return FILE_PREFIX + f"_{index:03d}.tiff" @staticmethod def __create_timestamp_file_name(): - return FILE_PREFIX + '_Spectra.txt' + return FILE_PREFIX + "_Spectra.txt" @staticmethod def add(data_array): diff --git a/notebooks/__code/combine_images_without_outliers/combine_images.py b/notebooks/__code/combine_images_without_outliers/combine_images.py index 95ea85d6..282f6b41 100755 --- a/notebooks/__code/combine_images_without_outliers/combine_images.py +++ b/notebooks/__code/combine_images_without_outliers/combine_images.py @@ -1,21 +1,19 @@ -import numpy as np -from ipywidgets import widgets -from IPython.display import display, HTML +import os from collections import OrderedDict from pathlib import Path -import os +import numpy as np +from IPython.display import HTML, display +from ipywidgets import widgets from NeuNorm.normalization import Normalization -from __code.file_handler import retrieve_list_of_most_dominant_extension_from_folder from __code._utilities.string import get_beginning_common_part_of_string_from_list -from __code.ipywe import fileselector from __code.file_folder_browser import FileFolderBrowser -from __code.file_handler import make_or_reset_folder +from __code.file_handler import make_or_reset_folder, retrieve_list_of_most_dominant_extension_from_folder +from __code.ipywe import fileselector class CombineImagesAlgorithm: - def __init__(self, list_array=None): if list_array is None: raise ValueError("Please provide a list of arrays!") @@ -76,55 +74,69 @@ def __init__(self, working_dir="", debugging=False): self.select_data_folder_to_combine() def select_data_folder_to_combine(self): - select_data = fileselector.FileSelectorPanel(instruction='Select folder of images to combine ...', - start_dir=self.working_dir, - next=self.preview_combine_result, - type='directory', - multiple=False) + select_data = fileselector.FileSelectorPanel( + instruction="Select folder of images to combine ...", + start_dir=self.working_dir, + next=self.preview_combine_result, + type="directory", + multiple=False, + ) select_data.show() def preview_combine_result(self, data_folder): - list_of_input_filenames = retrieve_list_of_most_dominant_extension_from_folder(folder=data_folder)[0] self.input_folder = str(Path(list_of_input_filenames[0]).parent) list_of_input_filenames = [os.path.basename(_file) for _file in list_of_input_filenames] self.list_of_input_filenames = list_of_input_filenames - display(HTML('SELECT ONLY the first images to ' - 'combine into 1 image! (Select at least 3 images)')) - - verti_layout = widgets.VBox([widgets.SelectMultiple(options=list_of_input_filenames, - layout=widgets.Layout(width="100%", - height="300px"))]) + display( + HTML( + 'SELECT ONLY the first images to ' + "combine into 1 image! (Select at least 3 images)" + ) + ) + + verti_layout = widgets.VBox( + [ + widgets.SelectMultiple( + options=list_of_input_filenames, layout=widgets.Layout(width="100%", height="300px") + ) + ] + ) display(verti_layout) input_selection_widget = verti_layout.children[0] - input_selection_widget.observe(self.input_selection_changed, names='value') - - hori_layout = widgets.HBox([widgets.Label("Prefix of new filename will be ->", - layout=widgets.Layout(width='20%')), - widgets.Label("Not Enough images selected to correctly combine!", - layout=widgets.Layout(width='80%'))]) + input_selection_widget.observe(self.input_selection_changed, names="value") + + hori_layout = widgets.HBox( + [ + widgets.Label("Prefix of new filename will be ->", layout=widgets.Layout(width="20%")), + widgets.Label("Not Enough images selected to correctly combine!", layout=widgets.Layout(width="80%")), + ] + ) display(hori_layout) self.prefix_filename_widget = hori_layout.children[1] select_width = "400px" select_height = "300px" - new_name_verti_layout = widgets.VBox([widgets.Label("New list of files"), - widgets.Select(options=[], - layout=widgets.Layout(width="100%", - height=select_height))], - layout=widgets.Layout(width=select_width)) - new_name_verti_layout.children[1].observe(self.new_list_of_files_selection_changed, names='value') - old_name_verti_layout = widgets.VBox([widgets.Label("Corresponding combined files"), - widgets.Select(options=[], - layout=widgets.Layout(width="100%", - height=select_height))], - layout=widgets.Layout(width=select_width)) - - hori_layout_2 = widgets.HBox([new_name_verti_layout, - widgets.Label(" "), - old_name_verti_layout], - layout=widgets.Layout(width="900px")) + new_name_verti_layout = widgets.VBox( + [ + widgets.Label("New list of files"), + widgets.Select(options=[], layout=widgets.Layout(width="100%", height=select_height)), + ], + layout=widgets.Layout(width=select_width), + ) + new_name_verti_layout.children[1].observe(self.new_list_of_files_selection_changed, names="value") + old_name_verti_layout = widgets.VBox( + [ + widgets.Label("Corresponding combined files"), + widgets.Select(options=[], layout=widgets.Layout(width="100%", height=select_height)), + ], + layout=widgets.Layout(width=select_width), + ) + + hori_layout_2 = widgets.HBox( + [new_name_verti_layout, widgets.Label(" "), old_name_verti_layout], layout=widgets.Layout(width="900px") + ) display(hori_layout_2) self.hori_layout_2 = hori_layout_2 hori_layout_2.layout.visibility = self.get_preview_visibility() @@ -133,12 +145,12 @@ def preview_combine_result(self, data_folder): def get_preview_visibility(self): if self.block_preview: - return 'hidden' + return "hidden" else: - return 'visible' + return "visible" def input_selection_changed(self, value): - list_of_files_selected = value['new'] + list_of_files_selected = value["new"] if len(list_of_files_selected) < 3: message = "Not Enough images selected to correctly combine!" self.block_preview = True @@ -165,12 +177,12 @@ def update_result_of_combination_summary(self): _index = 0 for _file in list_of_input_filenames: - base_file_name = _file[:self.len_string_after] + base_file_name = _file[: self.len_string_after] try: full_combine_dict[base_file_name].append(_file) except KeyError: full_combine_dict[base_file_name] = [_file] - new_name = "{}_{:05d}".format(base_file_name, _index) + new_name = f"{base_file_name}_{_index:05d}" dict_new_name_old_base_name_match[new_name] = base_file_name final_list_of_combined_images_renamed.append(new_name) _index += 1 @@ -180,7 +192,7 @@ def update_result_of_combination_summary(self): self.dict_new_name_old_base_name_match = dict_new_name_old_base_name_match def new_list_of_files_selection_changed(self, value): - new_selection = value['new'] + new_selection = value["new"] dict_new_name_old_base_name_match = self.dict_new_name_old_base_name_match if dict_new_name_old_base_name_match: base_name = dict_new_name_old_base_name_match[new_selection] @@ -188,9 +200,9 @@ def new_list_of_files_selection_changed(self, value): self.corresponding_list_of_files_combined.options = corresponding_list_of_files def select_output_folder(self): - self.o_folder = FileFolderBrowser(working_dir=self.working_dir, - next_function=self.combine, - ipts_folder=self.ipts_folder) + self.o_folder = FileFolderBrowser( + working_dir=self.working_dir, next_function=self.combine, ipts_folder=self.ipts_folder + ) self.o_folder.select_output_folder_with_new(instruction="Select where to create the combine data folder ...") def combine(self, output_folder): @@ -203,37 +215,41 @@ def combine(self, output_folder): full_new_folder_name = os.path.join(os.path.abspath(output_folder), new_folder) make_or_reset_folder(full_new_folder_name) - progress_ui = widgets.IntProgress(value=0, - min=0, - max=len(self.full_combine_dict.keys())) + progress_ui = widgets.IntProgress(value=0, min=0, max=len(self.full_combine_dict.keys())) display(progress_ui) _index = 0 for _base_name in self.full_combine_dict.keys(): - file_name = "{}_{:05d}.tiff".format(_base_name, _index) + file_name = f"{_base_name}_{_index:05d}.tiff" full_file_name = os.path.join(full_new_folder_name, file_name) - list_files_to_combine_fullname = [os.path.join(self.input_folder, _file) - for _file - in self.full_combine_dict[_base_name]] + list_files_to_combine_fullname = [ + os.path.join(self.input_folder, _file) for _file in self.full_combine_dict[_base_name] + ] o_work = Normalization() - o_work.load(file=list_files_to_combine_fullname, - auto_gamma_filter=False) + o_work.load(file=list_files_to_combine_fullname, auto_gamma_filter=False) - list_data = o_work.data['sample']['data'] + list_data = o_work.data["sample"]["data"] o_combine = CombineImagesAlgorithm(list_array=list_data) new_array = o_combine.mean_without_outliers(list_array=list_data) - o_work.data['sample']['data'] = [new_array] - o_work.data['sample']['file_name'] = [full_file_name] + o_work.data["sample"]["data"] = [new_array] + o_work.data["sample"]["file_name"] = [full_file_name] - o_work.export(folder=full_new_folder_name, data_type='sample') + o_work.export(folder=full_new_folder_name, data_type="sample") _index += 1 progress_ui.value = _index progress_ui.close() - display(HTML('' + str(_index) + \ - ' files have been created in ' + full_new_folder_name + '')) + display( + HTML( + '' + + str(_index) + + " files have been created in " + + full_new_folder_name + + "" + ) + ) diff --git a/notebooks/__code/config.py b/notebooks/__code/config.py index 1506cd50..f2f00ae7 100755 --- a/notebooks/__code/config.py +++ b/notebooks/__code/config.py @@ -1,17 +1,18 @@ debugging = False -debugger_username = 'j35' -debugger_folder = ['/Volumes/JeanHardDrive/', '/Users/j35/', '/Volumes/Buffalo/IPTS/', '/Users/j35/IPTS/'] -project_folder = 'IPTS_16259' +debugger_username = "j35" +debugger_folder = ["/Volumes/JeanHardDrive/", "/Users/j35/", "/Volumes/Buffalo/IPTS/", "/Users/j35/IPTS/"] +project_folder = "IPTS_16259" # system_folder = '/Users/j35/' -debugger_instrument_folder = {'mac126807': {'CG1D': "/Volumes/JeanHardDrive/HFIR/CG1D", - 'SNAP': "/Volumes/JeanHardDrive/SNS/SNAP", - 'VENUS': "/Volumes/JeanHardDrive/SNS/VENUS"}, - 'mac126455': {'CG1D': "/Users/j35/HFIR/CG1D", - 'SNAP': "/Users/j35/SNS/SNAP", - 'VENUS': "/Users/j35/SNS/VENUS"}, - } +debugger_instrument_folder = { + "mac126807": { + "CG1D": "/Volumes/JeanHardDrive/HFIR/CG1D", + "SNAP": "/Volumes/JeanHardDrive/SNS/SNAP", + "VENUS": "/Volumes/JeanHardDrive/SNS/VENUS", + }, + "mac126455": {"CG1D": "/Users/j35/HFIR/CG1D", "SNAP": "/Users/j35/SNS/SNAP", "VENUS": "/Users/j35/SNS/VENUS"}, +} # system_folder_SNS = '/SNS/' -analysis_machine = 'cg1d-analysis2.ornl.gov' +analysis_machine = "cg1d-analysis2.ornl.gov" gamma_filtering_coefficient = 0.3 percentage_of_images_to_use_for_roi_selection = 0.05 minimum_number_of_images_to_use_for_roi_selection = 10 diff --git a/notebooks/__code/create_list_of_file_name_vs_time_stamp.py b/notebooks/__code/create_list_of_file_name_vs_time_stamp.py index 8dce8951..bcf8df13 100755 --- a/notebooks/__code/create_list_of_file_name_vs_time_stamp.py +++ b/notebooks/__code/create_list_of_file_name_vs_time_stamp.py @@ -1,53 +1,53 @@ -import matplotlib.pyplot as plt +import os + import matplotlib.gridspec as gridspec -from ipywidgets.widgets import interact +import matplotlib.pyplot as plt import numpy as np -import os +from IPython.display import HTML, display from ipywidgets import widgets -from IPython.display import display, HTML - +from ipywidgets.widgets import interact from NeuNorm.normalization import Normalization +from __code import file_handler from __code.ipywe import fileselector, myfileselector from __code.metadata_handler import MetadataHandler -from __code import file_handler - -class CreateListFileName(object): - def __init__(self, working_dir='', verbose=False): +class CreateListFileName: + def __init__(self, working_dir="", verbose=False): self.working_dir = working_dir self.verbose = verbose def select_image_folder(self): - self.folder_ui = fileselector.FileSelectorPanel(instruction='Select Raw Image Folder ...', - start_dir=self.working_dir, - type='directory') + self.folder_ui = fileselector.FileSelectorPanel( + instruction="Select Raw Image Folder ...", start_dir=self.working_dir, type="directory" + ) self.folder_ui.show() - display(HTML( - 'If working with FITS, make sure you are working with the raw data set from raw folder!')) + display( + HTML( + 'If working with FITS, make sure you are working with the raw data set from raw folder!' + ) + ) def retrieve_time_stamp(self): - self.image_folder = self.folder_ui.selected [list_files, ext] = file_handler.retrieve_list_of_most_dominant_extension_from_folder(folder=self.image_folder) self.list_files = list_files - if ext.lower() in ['.tiff', '.tif']: - ext = 'tif' - elif ext.lower() == '.fits': - ext = 'fits' + if ext.lower() in [".tiff", ".tif"]: + ext = "tif" + elif ext.lower() == ".fits": + ext = "fits" else: raise ValueError - box = widgets.HBox([widgets.Label("Retrieving Time Stamp", - layout = widgets.Layout(width='20%')), - widgets.IntProgress(min=0, - max=len(list_files), - value=0, - layout=widgets.Layout(width='50%')) - ]) + box = widgets.HBox( + [ + widgets.Label("Retrieving Time Stamp", layout=widgets.Layout(width="20%")), + widgets.IntProgress(min=0, max=len(list_files), value=0, layout=widgets.Layout(width="50%")), + ] + ) progress_bar = box.children[1] display(box) @@ -60,7 +60,7 @@ def retrieve_time_stamp(self): _user_format = MetadataHandler.convert_to_human_readable_format(_time_stamp) list_time_stamp_user_format.append(_user_format) - progress_bar.value = _index+1 + progress_bar.value = _index + 1 self.list_time_stamp = list_time_stamp self.list_time_stamp_user_format = list_time_stamp_user_format @@ -69,59 +69,44 @@ def retrieve_time_stamp(self): def load(self): o_norm = Normalization() o_norm.load(file=self.list_files, notebook=True) - self.images_array = o_norm.data['sample']['data'] + self.images_array = o_norm.data["sample"]["data"] def preview(self): - #figure, axis = plt.subplots() + # figure, axis = plt.subplots() [height, width] = np.shape(self.images_array[0]) text_y = 0.1 * height text_x = 0.6 * width def display_selected_image(index, text_x, text_y, pre_text, post_text, color): - - font = {'family': 'serif', - 'color': color, - 'weight': 'normal', - 'size': 16} + font = {"family": "serif", "color": color, "weight": "normal", "size": 16} fig = plt.figure(figsize=(15, 10)) gs = gridspec.GridSpec(1, 1) ax = plt.subplot(gs[0, 0]) - im=ax.imshow(self.images_array[index], interpolation='nearest') - plt.title("image index {}".format(index)) - plt.text(text_x, text_y, "{} {:.2f}{}".format(pre_text, - self.list_time_offset[index], - post_text), - fontdict=font) + im = ax.imshow(self.images_array[index], interpolation="nearest") + plt.title(f"image index {index}") + plt.text(text_x, text_y, f"{pre_text} {self.list_time_offset[index]:.2f}{post_text}", fontdict=font) fig.colorbar(im) plt.show() - return {'text_x': text_x, 'text_y': text_y, - 'pre_text': pre_text, 'post_text': post_text, - 'color': color} - - self.preview = interact(display_selected_image, - index=widgets.IntSlider(min=0, - max=len(self.list_files), - continuous_update=False), - text_x=widgets.IntSlider(min=0, - max=width, - value=text_x, - description='Text x_offset', - continuous_update=False), - text_y=widgets.IntSlider(min=0, - max=height, - value=text_y, - description='Text y_offset', - continuous_upadte=False), - pre_text=widgets.Text(value='Time Offset', - description='Pre text'), - post_text=widgets.Text(value='(s)', - description='Post text'), - color=widgets.RadioButtons(options=['red', 'blue', 'white', 'black', 'yellow'], - value='red', - description='Text Color')) + return {"text_x": text_x, "text_y": text_y, "pre_text": pre_text, "post_text": post_text, "color": color} + + self.preview = interact( + display_selected_image, + index=widgets.IntSlider(min=0, max=len(self.list_files), continuous_update=False), + text_x=widgets.IntSlider( + min=0, max=width, value=text_x, description="Text x_offset", continuous_update=False + ), + text_y=widgets.IntSlider( + min=0, max=height, value=text_y, description="Text y_offset", continuous_upadte=False + ), + pre_text=widgets.Text(value="Time Offset", description="Pre text"), + post_text=widgets.Text(value="(s)", description="Post text"), + color=widgets.RadioButtons( + options=["red", "blue", "white", "black", "yellow"], value="red", description="Text Color" + ), + ) def sort_files_using_time_stamp(self): """Using the time stamp information, all the files will be sorted in ascending order of time stamp""" @@ -149,16 +134,15 @@ def export(self, output_folder): try: os.path.exists(output_folder) except: - display(HTML('Make sure you selected an export folder!')) + display(HTML("Make sure you selected an export folder!")) return input_folder_basename = os.path.basename(os.path.abspath(self.image_folder)) - output_file = os.path.abspath(os.path.join(output_folder, input_folder_basename + - '_timestamp_infos.txt')) + output_file = os.path.abspath(os.path.join(output_folder, input_folder_basename + "_timestamp_infos.txt")) if os.path.exists(output_file): os.remove(output_file) - metadata = '#filename, timestamp(s), timestamp_user_format, timeoffset(s)\n' + metadata = "#filename, timestamp(s), timestamp_user_format, timeoffset(s)\n" text = metadata file_list = self.list_files @@ -167,25 +151,24 @@ def export(self, output_folder): time_offset = self.list_time_offset for _index, _file in enumerate(file_list): - text += "{}, {}, {}, {}\n".format(os.path.abspath(_file), time_stamp[_index], - time_stamp_user_format[_index], - time_offset[_index]) + text += f"{os.path.abspath(_file)}, {time_stamp[_index]}, {time_stamp_user_format[_index]}, {time_offset[_index]}\n" - with open(output_file, 'w') as f: + with open(output_file, "w") as f: f.write(text) - display(HTML('File Created: ' + os.path.basename(output_file) + '')) + display(HTML("File Created: " + os.path.basename(output_file) + "")) def select_export_folder(self): - ipts_folder = self.working_dir - start_dir = os.path.join(ipts_folder, 'shared') - myfileselector.FileSelectorPanelWithJumpFolders(instruction="Select output folder", - start_dir=start_dir, - multiple=False, - ipts_folder=ipts_folder, - next=self.export, - type='directory') + start_dir = os.path.join(ipts_folder, "shared") + myfileselector.FileSelectorPanelWithJumpFolders( + instruction="Select output folder", + start_dir=start_dir, + multiple=False, + ipts_folder=ipts_folder, + next=self.export, + type="directory", + ) # def display_file_selector_from_shared(ev): # start_dir = os.path.join(ipts_folder, 'shared') diff --git a/notebooks/__code/cylindrical_geometry_correction_embedded_widgets/config_home.json b/notebooks/__code/cylindrical_geometry_correction_embedded_widgets/config_home.json index 01db2e30..608799b6 100755 --- a/notebooks/__code/cylindrical_geometry_correction_embedded_widgets/config_home.json +++ b/notebooks/__code/cylindrical_geometry_correction_embedded_widgets/config_home.json @@ -31,4 +31,4 @@ "top": 89, "bottom": 119 } -} \ No newline at end of file +} diff --git a/notebooks/__code/cylindrical_geometry_correction_embedded_widgets/config_work.json b/notebooks/__code/cylindrical_geometry_correction_embedded_widgets/config_work.json index 9f864cc8..484f41ab 100755 --- a/notebooks/__code/cylindrical_geometry_correction_embedded_widgets/config_work.json +++ b/notebooks/__code/cylindrical_geometry_correction_embedded_widgets/config_work.json @@ -31,4 +31,4 @@ "top": 89, "bottom": 119 } -} \ No newline at end of file +} diff --git a/notebooks/__code/cylindrical_geometry_correction_embedded_widgets/main.py b/notebooks/__code/cylindrical_geometry_correction_embedded_widgets/main.py index 4cbb878e..9a3a6c32 100755 --- a/notebooks/__code/cylindrical_geometry_correction_embedded_widgets/main.py +++ b/notebooks/__code/cylindrical_geometry_correction_embedded_widgets/main.py @@ -1,34 +1,31 @@ -import sys import os +import sys from pathlib import PurePosixPath -from scipy.ndimage import rotate + import pandas as pd +from scipy.ndimage import rotate -module_path = os.path.abspath(os.path.join('..')) +module_path = os.path.abspath(os.path.join("..")) if module_path not in sys.path: sys.path.append(module_path) -import numpy as np import json -from plotly.offline import plot, init_notebook_mode, iplot -import plotly.express as px -import plotly.graph_objects as go -import socket - -from ipywidgets import interactive import ipywidgets as widgets -from IPython.display import display, HTML - -import matplotlib.pyplot as plt import matplotlib -matplotlib.rcParams['figure.figsize'] = (10, 10) +import matplotlib.pyplot as plt +import numpy as np +from IPython.display import HTML, display +from ipywidgets import interactive + +matplotlib.rcParams["figure.figsize"] = (10, 10) from NeuNorm.normalization import Normalization +from __code._utilities.file import make_or_increment_folder_name, make_tiff +from __code.cylindrical_geometry_correction_embedded_widgets.cylindrical_geometry_correction import ( + number_of_pixels_at_that_position1, +) from __code.file_folder_browser import FileFolderBrowser -from __code._utilities.file import make_ascii_file, make_or_increment_folder_name, make_tiff -from __code.cylindrical_geometry_correction_embedded_widgets.cylindrical_geometry_correction import \ - number_of_pixels_at_that_position1, number_of_pixel_at_that_position2 class CylindricalGeometryCorrectionEmbeddedWidgets: @@ -37,42 +34,30 @@ class CylindricalGeometryCorrectionEmbeddedWidgets: number_of_images = None config = { - "cylinders_position": { + "cylinders_position": { "description": "pixel position in the cropped data image of the center, inner and outer radius", "center": 757, "inner_radius": 450, - "outer_radius": 643 - }, - "profiles_plot": { + "outer_radius": 643, + }, + "profiles_plot": { "description": "pixel position of the inner cylinder left and right edges", "left_inner_cylinder": 0, - "right_inner_cylinder": 0 - }, - "default_crop": { - "x0": 386, - "x1": 540, - "y0": 889, - "y1": 1824, - "marker": 1000 - }, - "default_rotate_angle": 0, - "default_background": { - "y0": 35, - "y1": 282 - }, - "default_sample": { - "y0": 415, - "y1": 935 - }, - "profiles_limit": { + "right_inner_cylinder": 0, + }, + "default_crop": {"x0": 386, "x1": 540, "y0": 889, "y1": 1824, "marker": 1000}, + "default_rotate_angle": 0, + "default_background": {"y0": 35, "y1": 282}, + "default_sample": {"y0": 415, "y1": 935}, + "profiles_limit": { "description": "range to use and to combine to extract profile. Mean algorithm is used to combine profiles", "top": 89, - "bottom": 119 - } - } + "bottom": 119, + }, + } - default_crop = {'x0': 369, 'x1': 522, 'y0': 756, 'y1': 1894} - crop = {'x0': None, 'x1': None, 'y0': None, 'y1': None} + default_crop = {"x0": 369, "x1": 522, "y0": 756, "y1": 1894} + crop = {"x0": None, "x1": None, "y0": None, "y1": None} cropped_data = None # Profile, for each image loaded, of inner and outer cylinder with only outer cylinder corrected @@ -85,44 +70,45 @@ def __init__(self, working_dir="./"): self.working_dir = working_dir def select_images(self): - file_folder_browser = FileFolderBrowser(working_dir=self.working_dir, - next_function=self.load_images) + file_folder_browser = FileFolderBrowser(working_dir=self.working_dir, next_function=self.load_images) file_folder_browser.select_images(filters={"TIFF": "*.tif?"}) def load_images(self, list_of_images): self.number_of_images = len(list_of_images) self.list_of_images = list_of_images if self.number_of_images == 0: - display(HTML('0 images found!')) + display(HTML("0 images found!")) return self.working_dir = os.path.dirname(list_of_images[0]) o_norm = Normalization() - o_norm.load(file=list_of_images, - notebook=True) - self.data = o_norm.data['sample']['data'] + o_norm.load(file=list_of_images, notebook=True) + self.data = o_norm.data["sample"]["data"] # self.data = [np.rot90(_data) for _data in data] if self.data: [self.height, self.width] = np.shape(np.squeeze(self.data[0])) - display(HTML('Number of images loaded: ' + str(len(list_of_images)) + '')) + display(HTML("Number of images loaded: " + str(len(list_of_images)) + "")) def select_config(self): - config_browser = FileFolderBrowser(working_dir=os.path.dirname(self.working_dir), - next_function=self.load_config) - config_browser.select_images(instruction="Select config file ...", - multiple_flag=False, - filters={"config": "*.json"}, - default_filter="config") + config_browser = FileFolderBrowser( + working_dir=os.path.dirname(self.working_dir), next_function=self.load_config + ) + config_browser.select_images( + instruction="Select config file ...", + multiple_flag=False, + filters={"config": "*.json"}, + default_filter="config", + ) def load_config(self, config_filename): if config_filename: - with open(config_filename, 'r') as f: + with open(config_filename) as f: self.config = json.load(f) - display(HTML('Config file ' + config_filename + 'loaded!')) + display(HTML("Config file " + config_filename + "loaded!")) def visualize_raw_images(self): fig, ax1 = plt.subplots(num="Raw Images") @@ -132,11 +118,10 @@ def plot(image_index): data = self.data[image_index] ax1.imshow(data, vmin=0, vmax=1) - v = interactive(plot, - image_index=widgets.IntSlider(min=0, - max=len(self.data) - 1, - value=0, - layout=widgets.Layout(width='50%'))) + v = interactive( + plot, + image_index=widgets.IntSlider(min=0, max=len(self.data) - 1, value=0, layout=widgets.Layout(width="50%")), + ) display(v) def rotate_images(self): @@ -150,26 +135,23 @@ def rotate_images(self): profile_margin = 100 def plot(rot_value, image_index, vert_guide, profile1_h, profile2_h): - ax0.cla() data = self.data[image_index] data = rotate(data, rot_value) ax0.imshow(data, vmin=0, vmax=1) - ax0.axvline(x=vert_guide, - color='red', - linestyle="--") + ax0.axvline(x=vert_guide, color="red", linestyle="--") point1 = [vert_guide - profile_margin, profile1_h] point2 = [vert_guide + profile_margin, profile1_h] x_values = [point1[0], point2[0]] y_values = [point1[1], point2[1]] - ax0.plot(x_values, y_values, linestyle="--", color='b') + ax0.plot(x_values, y_values, linestyle="--", color="b") point3 = [vert_guide - profile_margin, profile2_h] point4 = [vert_guide + profile_margin, profile2_h] x_values = [point3[0], point4[0]] y_values = [point3[1], point4[1]] - ax0.plot(x_values, y_values, linestyle="--", color='g') + ax0.plot(x_values, y_values, linestyle="--", color="g") # ax0.axhline(y=profile1_h, # xmin=vert_guide - profile_margin, @@ -182,12 +164,12 @@ def plot(rot_value, image_index, vert_guide, profile1_h, profile2_h): # color='g', # linestyle="--") - profile1 = data[profile1_h, vert_guide-profile_margin: vert_guide + profile_margin] - profile2 = data[profile2_h, vert_guide-profile_margin: vert_guide + profile_margin] + profile1 = data[profile1_h, vert_guide - profile_margin : vert_guide + profile_margin] + profile2 = data[profile2_h, vert_guide - profile_margin : vert_guide + profile_margin] ax1.cla() - ax1.plot(profile1, 'b', label='profile 1') - ax1.plot(profile2, 'g', label='profile 2') + ax1.plot(profile1, "b", label="profile 1") + ax1.plot(profile2, "g", label="profile 2") plt.ylabel("Counts") plt.xlabel("Pixels") plt.title("horizontal profiles around vertical guide") @@ -204,33 +186,30 @@ def plot(rot_value, image_index, vert_guide, profile1_h, profile2_h): left = point1[0] right = point2[0] - tilted_data = data[top: bottom, left: right] + tilted_data = data[top:bottom, left:right] ax2.imshow(tilted_data, vmin=0, vmax=1) - ax2.axvline(profile_margin, linestyle='--', color='r') - - self.v = interactive(plot, - rot_value=widgets.FloatSlider(min=-5., - max=5., - value=default_rotate_angle, - continuous_update=False, - layout=widgets.Layout(width='50%')), - image_index=widgets.IntSlider(min=0, - max=len(self.data) - 1, - value=0, - layout=widgets.Layout(width='50%')), - vert_guide=widgets.IntSlider(min=0, - max=self.width-1, - value=int(self.width/2), - layout=widgets.Layout(width="50%"), - continuous_update=False), - profile1_h=widgets.IntSlider(min=0, - max=self.height-1, - continuous_update=False, - value=1135), - profile2_h=widgets.IntSlider(min=0, - max=self.height-1, - continuous_update=False, - value=1794)) + ax2.axvline(profile_margin, linestyle="--", color="r") + + self.v = interactive( + plot, + rot_value=widgets.FloatSlider( + min=-5.0, + max=5.0, + value=default_rotate_angle, + continuous_update=False, + layout=widgets.Layout(width="50%"), + ), + image_index=widgets.IntSlider(min=0, max=len(self.data) - 1, value=0, layout=widgets.Layout(width="50%")), + vert_guide=widgets.IntSlider( + min=0, + max=self.width - 1, + value=int(self.width / 2), + layout=widgets.Layout(width="50%"), + continuous_update=False, + ), + profile1_h=widgets.IntSlider(min=0, max=self.height - 1, continuous_update=False, value=1135), + profile2_h=widgets.IntSlider(min=0, max=self.height - 1, continuous_update=False, value=1794), + ) display(self.v) @@ -254,17 +233,17 @@ def select_crop_region(self): def plot(image_index, left, right, top, bottom, profile_mker): ax0.cla() ax0.imshow(self.data[image_index], vmin=0, vmax=1) - ax0.axis('off') - ax0.axvline(x=left, color='red', linestyle='--') - ax0.axvline(x=right, color='red', linestyle='--') - ax0.axhline(y=top, color='red', linestyle='-.') - ax0.axhline(y=bottom, color='red', linestyle='-.') - ax0.axhline(y=profile_mker, color='blue', linestyle='dotted') + ax0.axis("off") + ax0.axvline(x=left, color="red", linestyle="--") + ax0.axvline(x=right, color="red", linestyle="--") + ax0.axhline(y=top, color="red", linestyle="-.") + ax0.axhline(y=bottom, color="red", linestyle="-.") + ax0.axhline(y=profile_mker, color="blue", linestyle="dotted") ax1.cla() profile = self.data[image_index][profile_mker, :] - ax1.plot(profile, '.') - delta_x = (right - left) + ax1.plot(profile, ".") + delta_x = right - left if delta_x < 0: delta_x = 0 left_x_profile = (left - delta_x) if (left - delta_x) > 0 else 0 @@ -272,54 +251,46 @@ def plot(image_index, left, right, top, bottom, profile_mker): plt.xlabel("Horizontal pixel") plt.ylabel("Counts") plt.title("Profile at marker's position (dotted blue line)") - ax1.axvline(x=left, linestyle='--', color='red') - ax1.axvline(x=right, linestyle='--', color='red') + ax1.axvline(x=left, linestyle="--", color="red") + ax1.axvline(x=right, linestyle="--", color="red") ax2.cla() - cropped_data = self.data[image_index][top: bottom + 1, left: right + 1] + cropped_data = self.data[image_index][top : bottom + 1, left : right + 1] ax2.imshow(cropped_data, vmin=0, vmax=1) return left, right, top, bottom - self.crop_ui = interactive(plot, - image_index=widgets.IntSlider(min=0, - max=self.number_of_images - 1, - value=0), - left=widgets.IntSlider(min=0, - max=width-1, - value=self.config["default_crop"]['x0']), - right=widgets.IntSlider(min=0, - max=width-1, - value=self.config["default_crop"]['x1']), - top=widgets.IntSlider(min=0, - max=height-1, - value=self.config["default_crop"]['y0']), - bottom=widgets.IntSlider(min=0, - max=height-1, - value=self.config["default_crop"]['y1']), - profile_mker=widgets.IntSlider(min=0, - max=height-1, - value=self.config['default_crop'][ - 'marker']) - ) + self.crop_ui = interactive( + plot, + image_index=widgets.IntSlider(min=0, max=self.number_of_images - 1, value=0), + left=widgets.IntSlider(min=0, max=width - 1, value=self.config["default_crop"]["x0"]), + right=widgets.IntSlider(min=0, max=width - 1, value=self.config["default_crop"]["x1"]), + top=widgets.IntSlider(min=0, max=height - 1, value=self.config["default_crop"]["y0"]), + bottom=widgets.IntSlider(min=0, max=height - 1, value=self.config["default_crop"]["y1"]), + profile_mker=widgets.IntSlider(min=0, max=height - 1, value=self.config["default_crop"]["marker"]), + ) display(self.crop_ui) def crop_region(self): [x0, x1, y0, y1] = self.crop_ui.result - self.crop = {'x0': 0, 'x1': x1, 'y0': y0, 'y1': y1} + self.crop = {"x0": 0, "x1": x1, "y0": y0, "y1": y1} - cropped_data = [_data[y0: y1 + 1, x0: x1 + 1] for _data in self.data] + cropped_data = [_data[y0 : y1 + 1, x0 : x1 + 1] for _data in self.data] self.cropped_data = cropped_data def export_cropped_images(self): if self.cropped_data is None: self.crop_region() - display(HTML( - 'Select a folder if you want to export the cropped images!')) + display( + HTML( + 'Select a folder if you want to export the cropped images!' + ) + ) working_dir = os.path.dirname(self.working_dir) - self.file_selection_ui = FileFolderBrowser(working_dir=working_dir, - next_function=self.export_cropped_images_step2) + self.file_selection_ui = FileFolderBrowser( + working_dir=working_dir, next_function=self.export_cropped_images_step2 + ) self.file_selection_ui.select_output_folder() def export_cropped_images_step2(self, output_folder): @@ -332,22 +303,19 @@ def export_cropped_images_step2(self, output_folder): list_of_images = self.list_of_images nbr_images = len(list_of_images) - progress_bar = widgets.IntProgress(min=0, - max=nbr_images - 1) + progress_bar = widgets.IntProgress(min=0, max=nbr_images - 1) display(progress_bar) for index, image in enumerate(list_images_corrected): _name = os.path.basename(list_of_images[index]) full_name = os.path.join(base_working_dir, _name) - make_tiff(filename=full_name, - data=image) + make_tiff(filename=full_name, data=image) progress_bar.value = index + 1 progress_bar.close() - display(HTML('' + str(nbr_images) + ' images created!')) + display(HTML('' + str(nbr_images) + " images created!")) def background_range_selection(self): - if self.cropped_data is None: self.crop_region() @@ -358,18 +326,19 @@ def plot(image_index, top, bottom): ax1.cla() ax1.imshow(self.cropped_data[image_index], vmin=0, vmax=1) # ax1.axis('off') - ax1.axhline(y=top, color='red') - ax1.axhline(y=bottom, color='red') + ax1.axhline(y=top, color="red") + ax1.axhline(y=bottom, color="red") return top, bottom default_top = self.config["default_background"]["y0"] default_bottom = self.config["default_background"]["y1"] - self.background_limit_ui = interactive(plot, - image_index=widgets.IntSlider(min=0, max=self.number_of_images - 1, - value=0), - top=widgets.IntSlider(min=0, max=height - 1, value=default_top), - bottom=widgets.IntSlider(min=0, max=height - 1, value=default_bottom)) + self.background_limit_ui = interactive( + plot, + image_index=widgets.IntSlider(min=0, max=self.number_of_images - 1, value=0), + top=widgets.IntSlider(min=0, max=height - 1, value=default_top), + bottom=widgets.IntSlider(min=0, max=height - 1, value=default_bottom), + ) display(self.background_limit_ui) def sample_region_selection(self): @@ -380,19 +349,20 @@ def plot(image_index, top, bottom): ax1.cla() ax1.imshow(self.cropped_data[image_index], vmin=0, vmax=1) # ax1.axis('off') - ax1.axhline(y=top, color='red') - ax1.axhline(y=bottom, color='red') + ax1.axhline(y=top, color="red") + ax1.axhline(y=bottom, color="red") return top, bottom default_top = self.config["default_sample"]["y0"] default_bottom = self.config["default_sample"]["y1"] - self.sample_limit_ui = interactive(plot, - image_index=widgets.IntSlider(min=0, max=self.number_of_images - 1, - value=0), - top=widgets.IntSlider(min=0, max=height - 1, value=default_top), - bottom=widgets.IntSlider(min=0, max=height - 1, value=default_bottom)) + self.sample_limit_ui = interactive( + plot, + image_index=widgets.IntSlider(min=0, max=self.number_of_images - 1, value=0), + top=widgets.IntSlider(min=0, max=height - 1, value=default_top), + bottom=widgets.IntSlider(min=0, max=height - 1, value=default_bottom), + ) display(self.sample_limit_ui) def remove_background_signal(self): @@ -402,14 +372,16 @@ def remove_background_signal(self): """ y0_background = self.background_limit_ui.children[1].value y1_background = self.background_limit_ui.children[2].value - background_signal_integrated = [np.mean(_data[y0_background: y1_background+1, :], axis=0) for _data in self.cropped_data] + background_signal_integrated = [ + np.mean(_data[y0_background : y1_background + 1, :], axis=0) for _data in self.cropped_data + ] y0_sample = self.sample_limit_ui.children[1].value y1_sample = self.sample_limit_ui.children[2].value sample_without_background = [] - for _background, _sample in zip(background_signal_integrated, self.cropped_data): - _data = _sample[y0_sample: y1_sample+1] - sample_without_background.append(np.abs((_data - _background))) + for _background, _sample in zip(background_signal_integrated, self.cropped_data, strict=False): + _data = _sample[y0_sample : y1_sample + 1] + sample_without_background.append(np.abs(_data - _background)) self.sample_without_background = sample_without_background @@ -419,13 +391,12 @@ def plot(image_index): ax1.cla() ax1.imshow(self.sample_without_background[image_index], vmin=0, vmax=1) - self.sample_no_background_ui = interactive(plot, - image_index=widgets.IntSlider(min=0, max=self.number_of_images - 1, - value=0)) + self.sample_no_background_ui = interactive( + plot, image_index=widgets.IntSlider(min=0, max=self.number_of_images - 1, value=0) + ) display(self.sample_no_background_ui) def display_of_profiles(self): - sample_without_background = self.sample_without_background fig, ax = plt.subplots(nrows=1, ncols=2, num="Display of Profiles") @@ -436,16 +407,18 @@ def plot(image_index, profile_height): ax[0].cla() image = sample_without_background[image_index] ax[0].imshow(image) - ax[0].axhline(y=profile_height, color='red') + ax[0].axhline(y=profile_height, color="red") ax[1].cla() data = sample_without_background[image_index] profile = data[profile_height, :] - ax[1].plot(profile, '.') + ax[1].plot(profile, ".") - v = interactive(plot, - image_index=widgets.IntSlider(min=0, max=self.number_of_images - 1, value=0), - profile_height=widgets.IntSlider(min=0, max=height-1, value=0)) + v = interactive( + plot, + image_index=widgets.IntSlider(min=0, max=self.number_of_images - 1, value=0), + profile_height=widgets.IntSlider(min=0, max=height - 1, value=0), + ) display(v) def correct_cylinder_geometry(self): @@ -457,23 +430,22 @@ def correct_cylinder_geometry(self): width = np.shape(sample_without_background)[2] height = np.shape(sample_without_background)[1] - radius = int(width/2.) + radius = int(width / 2.0) list_images_corrected = np.zeros(np.shape(sample_without_background)) # looping over all images for image_index, image in enumerate(sample_without_background): - for h in np.arange(height): - profile = image[h, :] number_of_pixels = [] expected_array = [] for x_index, x in enumerate(profile): measure = x - number_of_pixels_through_thickness = number_of_pixels_at_that_position1(position=x_index, - radius=radius) + number_of_pixels_through_thickness = number_of_pixels_at_that_position1( + position=x_index, radius=radius + ) number_of_pixels.append(number_of_pixels_through_thickness) expected_array.append(measure / number_of_pixels_through_thickness) @@ -487,38 +459,29 @@ def correct_cylinder_geometry(self): def plot(image_index, index1, index2, plot_max): ax0.cla() ax0.imshow(self.list_images_corrected[image_index], vmin=0, vmax=0.01) - ax0.axhline(y=index1, linestyle='--', color='r') - ax0.axhline(y=index2, linestyle='--', color='b') + ax0.axhline(y=index1, linestyle="--", color="r") + ax0.axhline(y=index2, linestyle="--", color="b") ax1.cla() - ax1.plot(self.list_images_corrected[image_index][index1, :], '.', color='r') - ax1.plot(self.list_images_corrected[image_index][index2, :], '.', color='b') + ax1.plot(self.list_images_corrected[image_index][index1, :], ".", color="r") + ax1.plot(self.list_images_corrected[image_index][index2, :], ".", color="b") plt.ylim([0, plot_max]) - self.sample_corrected = interactive(plot, - image_index=widgets.IntSlider(min=0, - max=self.number_of_images - 1, - value=0), - index1=widgets.IntSlider(min=0, - max=height-1, - value=int((height-1)/3)), - index2=widgets.IntSlider(min=0, - max=height - 1, - value=2*int((height-1)/3)), - plot_max=widgets.FloatSlider(min=1e-5, - max=1., - step=0.001, - value=0.02)) + self.sample_corrected = interactive( + plot, + image_index=widgets.IntSlider(min=0, max=self.number_of_images - 1, value=0), + index1=widgets.IntSlider(min=0, max=height - 1, value=int((height - 1) / 3)), + index2=widgets.IntSlider(min=0, max=height - 1, value=2 * int((height - 1) / 3)), + plot_max=widgets.FloatSlider(min=1e-5, max=1.0, step=0.001, value=0.02), + ) display(self.sample_corrected) def export_profiles(self): working_dir = os.path.dirname(self.working_dir) - output_folder_browser = FileFolderBrowser(working_dir=working_dir, - next_function=self.export) + output_folder_browser = FileFolderBrowser(working_dir=working_dir, next_function=self.export) output_folder_browser.select_output_folder() def export(self, output_folder): - output_folder = os.path.abspath(output_folder) working_dir = self.working_dir base_working_dir = os.path.join(output_folder, os.path.basename(working_dir) + "_cylindrical_geo_corrected") @@ -529,44 +492,37 @@ def export(self, output_folder): list_of_images = self.list_of_images nbr_images = len(list_of_images) - progress_bar = widgets.IntProgress(min=0, - max=nbr_images-1) + progress_bar = widgets.IntProgress(min=0, max=nbr_images - 1) display(progress_bar) for index, image in enumerate(list_images_corrected): _name = os.path.basename(list_of_images[index]) full_name = os.path.join(base_working_dir, _name) - make_tiff(filename=full_name, - data=image) + make_tiff(filename=full_name, data=image) progress_bar.value = index + 1 progress_bar.close() - display(HTML('' + str(nbr_images) + ' images created!')) + display(HTML('' + str(nbr_images) + " images created!")) # export profiles - progress_bar = widgets.IntProgress(min=0, - max=nbr_images-1) + progress_bar = widgets.IntProgress(min=0, max=nbr_images - 1) display(progress_bar) metadata = {} - metadata['rotation value (degrees)'] = self.rotation_value - x0 = self.crop['x0'] - x1 = self.crop['x1'] - y0 = self.crop['y0'] - y1 = self.crop['y1'] - - metadata['crop'] = {'crop': {'x0': x0, - 'y0': y0, - 'x1': x1, - 'y1': y1 - }, - } - metadata['input folder'] = working_dir - metadata['output folder'] = base_working_dir + metadata["rotation value (degrees)"] = self.rotation_value + x0 = self.crop["x0"] + x1 = self.crop["x1"] + y0 = self.crop["y0"] + y1 = self.crop["y1"] + + metadata["crop"] = { + "crop": {"x0": x0, "y0": y0, "x1": x1, "y1": y1}, + } + metadata["input folder"] = working_dir + metadata["output folder"] = base_working_dir for index, image in enumerate(list_images_corrected): - _name = os.path.basename(list_of_images[index]) base_name_without_suffix = PurePosixPath(_name).stem base_name_of_ascii_file = str(base_name_without_suffix) + "_profile_corrected.csv" @@ -582,16 +538,16 @@ def export(self, output_folder): config_filename = os.path.join(output_folder, "config.json") self.export_config(output_folder=base_working_dir, config_filename=config_filename) - display(HTML('' + str(nbr_images) + ' ASCII files created!')) + display(HTML('' + str(nbr_images) + " ASCII files created!")) - json_file_name = os.path.join(base_working_dir, 'metadata.json') - with open(json_file_name, 'w') as outfile: + json_file_name = os.path.join(base_working_dir, "metadata.json") + with open(json_file_name, "w") as outfile: json.dump(metadata, outfile) display(HTML(' metadata json file created (metadata.json)!')) - display(HTML(' config file: ' + config_filename + '')) + display(HTML(' config file: ' + config_filename + "")) - display(HTML(' Output folder: ' + base_working_dir + '!')) + display(HTML(' Output folder: ' + base_working_dir + "!")) def export_config(self, output_folder=None, config_filename=None): - with open(config_filename, 'w') as outfile: + with open(config_filename, "w") as outfile: json.dump(self.config, outfile) diff --git a/notebooks/__code/deal.py b/notebooks/__code/deal.py index 4465082d..6137b173 100755 --- a/notebooks/__code/deal.py +++ b/notebooks/__code/deal.py @@ -1,73 +1,89 @@ -import shutil -import os import glob +import os +import shutil + +from IPython.display import HTML, display from ipywidgets import widgets -from IPython.display import display, HTML from __code.ipywe import fileselector -class Deal(object): - - def __init__(self, working_dir=''): +class Deal: + def __init__(self, working_dir=""): self.working_dir = working_dir def select_input_folder(self): - self.input_folder_ui = fileselector.FileSelectorPanel(instruction='Select Folder with All Images to Deal ...', - start_dir=self.working_dir, - multiple=False, - type='directory') + self.input_folder_ui = fileselector.FileSelectorPanel( + instruction="Select Folder with All Images to Deal ...", + start_dir=self.working_dir, + multiple=False, + type="directory", + ) self.input_folder_ui.show() def select_output_folder(self): - self.output_folder_ui = fileselector.FileSelectorPanel(instruction='Select Output Folder ...', - start_dir=self.working_dir, - multiple=False, - next=self.deal, - type='directory') + self.output_folder_ui = fileselector.FileSelectorPanel( + instruction="Select Output Folder ...", + start_dir=self.working_dir, + multiple=False, + next=self.deal, + type="directory", + ) self.output_folder_ui.show() def deal(self, output_folder): - self.input_folder = self.input_folder_ui.selected - self.list_input_images = glob.glob(os.path.join(self.input_folder, '*.*')) + self.list_input_images = glob.glob(os.path.join(self.input_folder, "*.*")) self.output_folder = output_folder result_dict = self.__split(list_images=self.list_input_images) - display(HTML('Number of images per folder: ' + str(result_dict['nbr_images_per_folder']) + '
' + \ - 'Number of folders: ' + str(result_dict['nbr_folders']) + '')) - - self.__deal(nbr_images_per_folder=result_dict['nbr_images_per_folder'], - nbr_folders=result_dict['nbr_folders'], - output_folder=self.output_folder, - output_folder_dict=result_dict['output_folder_dict']) + display( + HTML( + "Number of images per folder: " + + str(result_dict["nbr_images_per_folder"]) + + "
" + + "Number of folders: " + + str(result_dict["nbr_folders"]) + + "" + ) + ) + + self.__deal( + nbr_images_per_folder=result_dict["nbr_images_per_folder"], + nbr_folders=result_dict["nbr_folders"], + output_folder=self.output_folder, + output_folder_dict=result_dict["output_folder_dict"], + ) def __split(self, list_images=[]): # splitting name using hypothesis that name is defined as /path/image###_####.fits - list_folder = set([os.path.basename(_file).split('_')[0] for _file in list_images]) + list_folder = set([os.path.basename(_file).split("_")[0] for _file in list_images]) output_folder_dict = {} for _folder in list_folder: output_folder_dict[_folder] = [] - #putting each input image into its own dictionary array + # putting each input image into its own dictionary array for _image in list_images: - _key = os.path.basename(_image).split('_')[0] + _key = os.path.basename(_image).split("_")[0] output_folder_dict[_key].append(_image) nbr_images_per_folder = len(output_folder_dict[list(output_folder_dict.keys())[0]]) nbr_folders = len(list(output_folder_dict.keys())) - return {'output_folder_dict': output_folder_dict, - 'nbr_images_per_folder': nbr_images_per_folder, - 'nbr_folders': nbr_folders} + return { + "output_folder_dict": output_folder_dict, + "nbr_images_per_folder": nbr_images_per_folder, + "nbr_folders": nbr_folders, + } - def __deal(self, prefix_name='image', nbr_images_per_folder=0, nbr_folders=0, - output_folder='', output_folder_dict={}): - ''' + def __deal( + self, prefix_name="image", nbr_images_per_folder=0, nbr_folders=0, output_folder="", output_folder_dict={} + ): + """ copy the images into their corresponding new output folder Parameters: @@ -79,16 +95,22 @@ def __deal(self, prefix_name='image', nbr_images_per_folder=0, nbr_folders=0, output_folder_dict: {}. {'image001': [ list of images], 'image002': [list of images]} - ''' - box1 = widgets.HBox([widgets.Label("images progress:", - layout=widgets.Layout(width='30%')), - widgets.IntProgress(max=nbr_images_per_folder-1)]) + """ + box1 = widgets.HBox( + [ + widgets.Label("images progress:", layout=widgets.Layout(width="30%")), + widgets.IntProgress(max=nbr_images_per_folder - 1), + ] + ) display(box1) w1 = box1.children[1] - box2 = widgets.HBox([widgets.Label("folder progress:", - layout=widgets.Layout(width='30%')), - widgets.IntProgress(max=nbr_folders-1)]) + box2 = widgets.HBox( + [ + widgets.Label("folder progress:", layout=widgets.Layout(width="30%")), + widgets.IntProgress(max=nbr_folders - 1), + ] + ) display(box2) w2 = box2.children[1] @@ -102,8 +124,8 @@ def __deal(self, prefix_name='image', nbr_images_per_folder=0, nbr_folders=0, _index2 = 0 for _input_image in _input_list_images: _basename_image = os.path.basename(_input_image) - [part1, part2] = _basename_image.split('_') - new_name = os.path.join(output_folder, _folder, prefix_name + '_' + part2) + [part1, part2] = _basename_image.split("_") + new_name = os.path.join(output_folder, _folder, prefix_name + "_" + part2) shutil.copyfile(_input_image, new_name) _index2 += 1 w1.value = _index2 diff --git a/notebooks/__code/decorators.py b/notebooks/__code/decorators.py index 765f30ca..cb4d9bfb 100755 --- a/notebooks/__code/decorators.py +++ b/notebooks/__code/decorators.py @@ -1,30 +1,29 @@ import os try: - from PyQt4.QtGui import QApplication from PyQt4 import QtCore, QtGui + from PyQt4.QtGui import QApplication except ImportError: - from PyQt5.QtWidgets import QApplication, QMainWindow from PyQt5 import QtCore, QtGui + from PyQt5.QtWidgets import QApplication def format_directory(function): - ''' + """ This decorator will make sure the directory format is correct for the right os system. On Mac, pyqt does not like seing the '\' replacing the white spaces. - ''' - - def new_function(dir=None, **kwargs): + """ + def new_function(dir=None, **kwargs): if dir is None: - dir = '/' + dir = "/" elif dir == "": - dir = '/' + dir = "/" else: - if os.sys.platform == 'darwin': - dir = dir.replace('\\','') + if os.sys.platform == "darwin": + dir = dir.replace("\\", "") return function(dir=dir, **kwargs) - + return new_function @@ -32,6 +31,7 @@ def wait_cursor(function): """ Add a wait cursor during the running of the function """ + def wrapper(*args, **kwargs): QApplication.setOverrideCursor(QtCore.Qt.WaitCursor) QtGui.QGuiApplication.processEvents() diff --git a/notebooks/__code/display_and_export_images_with_metadata_profile.py b/notebooks/__code/display_and_export_images_with_metadata_profile.py index 5aeb4dd2..7b346506 100755 --- a/notebooks/__code/display_and_export_images_with_metadata_profile.py +++ b/notebooks/__code/display_and_export_images_with_metadata_profile.py @@ -1,45 +1,43 @@ -import pandas as pd -import matplotlib.pyplot as plt -import matplotlib.gridspec as gridspec -from ipywidgets.widgets import interact -from ipywidgets import widgets -import numpy as np import os -from __code.ipywe.fileselector import FileSelectorPanel -from __code.ipywe import fileselector -from IPython.display import display, HTML +import matplotlib.gridspec as gridspec +import matplotlib.pyplot as plt +import numpy as np +import pandas as pd +from IPython.display import HTML, display +from ipywidgets import widgets +from ipywidgets.widgets import interact from NeuNorm.normalization import Normalization -from __code import file_handler +from __code import file_handler +from __code.ipywe import fileselector +from __code.ipywe.fileselector import FileSelectorPanel -class DisplayExportScreenshots(object): - def __init__(self, working_dir=''): +class DisplayExportScreenshots: + def __init__(self, working_dir=""): self.working_dir = working_dir def select_input_folder(self): - self.folder_ui = FileSelectorPanel(instruction='Select Input Folder ...', - start_dir=self.working_dir, - type='directory', - multiple=False) + self.folder_ui = FileSelectorPanel( + instruction="Select Input Folder ...", start_dir=self.working_dir, type="directory", multiple=False + ) self.folder_ui.show() def select_metadata_file(self): - self.metadata_file_ui = FileSelectorPanel(instruction='Select Metadata File (created by file_name_and_metadata_vs_time_stamp.ipynb ...', - start_dir=self.working_dir, - multiple=False) + self.metadata_file_ui = FileSelectorPanel( + instruction="Select Metadata File (created by file_name_and_metadata_vs_time_stamp.ipynb ...", + start_dir=self.working_dir, + multiple=False, + ) self.metadata_file_ui.show() def display(self): - self.__check_inputs() self.__load() self.__preview() - - def __check_inputs(self): # images image_folder = self.folder_ui.selected @@ -61,19 +59,19 @@ def __check_inputs(self): def __load(self): o_load = Normalization() o_load.load(file=self.list_images, notebook=True) - self.images_array = o_load.data['sample']['data'] - self.images_list = o_load.data['sample']['file_name'] + self.images_array = o_load.data["sample"]["data"] + self.images_list = o_load.data["sample"]["file_name"] def __preview(self): metadata_profile = {} - _metadata_array = np.array(self.file_name_vs_metadata['Metadata']) - _time_array = np.array(self.file_name_vs_metadata['time']) + _metadata_array = np.array(self.file_name_vs_metadata["Metadata"]) + _time_array = np.array(self.file_name_vs_metadata["time"]) - for _index, _file in enumerate(np.array(self.file_name_vs_metadata['file_name'])): + for _index, _file in enumerate(np.array(self.file_name_vs_metadata["file_name"])): metadata_profile[_file] = {} - metadata_profile[_file]['metadata'] = _metadata_array[_index] - metadata_profile[_file]['time'] = _time_array[_index] + metadata_profile[_file]["metadata"] = _metadata_array[_index] + metadata_profile[_file]["time"] = _time_array[_index] self.metadata_profile = metadata_profile self.metadata_array = _metadata_array @@ -84,71 +82,73 @@ def plot_images_and_profile(file_index=0): gs = gridspec.GridSpec(1, 2) _short_file = os.path.basename(self.images_list[file_index]) - _time = metadata_profile[_short_file]['time'] - #_metadata = metadata_profile[_short_file]['metadata'] + _time = metadata_profile[_short_file]["time"] + # _metadata = metadata_profile[_short_file]['metadata'] ax_img = plt.subplot(gs[0, 0]) ax_img.imshow(self.images_array[file_index]) - plt.title("{}".format(_short_file)) + plt.title(f"{_short_file}") ax_plot = plt.subplot(gs[0, 1]) - ax_plot.plot(_time_array, _metadata_array, '*') - ax_plot.axvline(x=_time, color='r') - plt.xlabel('Time (s)') + ax_plot.plot(_time_array, _metadata_array, "*") + ax_plot.axvline(x=_time, color="r") + plt.xlabel("Time (s)") plt.ylabel(self.metadata_name) plt.show() - preview = interact(plot_images_and_profile, - file_index=widgets.IntSlider(min=0, - max=self.nbr_images - 1, - description='Image Index', - continuous_update=False)) + preview = interact( + plot_images_and_profile, + file_index=widgets.IntSlider( + min=0, max=self.nbr_images - 1, description="Image Index", continuous_update=False + ), + ) def select_export_folder(self): - self.output_folder_ui = fileselector.FileSelectorPanel(instruction='Select output Folder ...', - start_dir=self.working_dir, - type='directory') + self.output_folder_ui = fileselector.FileSelectorPanel( + instruction="Select output Folder ...", start_dir=self.working_dir, type="directory" + ) self.output_folder_ui.show() def export(self): output_folder = self.output_folder_ui.selected input_folder_basename = os.path.basename(self.folder_ui.selected) - output_folder = os.path.join(output_folder, input_folder_basename + '_vs_metadata_screenshots') + output_folder = os.path.join(output_folder, input_folder_basename + "_vs_metadata_screenshots") if os.path.exists(output_folder): import shutil + shutil.rmtree(output_folder) os.makedirs(output_folder) def plot_images_and_profile(file_index=0): - fig = plt.figure(figsize=(15, 10)) gs = gridspec.GridSpec(1, 2) _short_file = os.path.basename(self.images_list[file_index]) - _time = self.metadata_profile[_short_file]['time'] - _metadata = self.metadata_profile[_short_file]['metadata'] + _time = self.metadata_profile[_short_file]["time"] + _metadata = self.metadata_profile[_short_file]["metadata"] ax_img = plt.subplot(gs[0, 0]) ax_img.imshow(self.images_array[file_index]) - plt.title("{}".format(_short_file)) + plt.title(f"{_short_file}") ax_plot = plt.subplot(gs[0, 1]) - ax_plot.plot(self.time_array, self.metadata_array, '*') - ax_plot.axvline(x=_time, color='r') - plt.xlabel('Time (s)') + ax_plot.plot(self.time_array, self.metadata_array, "*") + ax_plot.axvline(x=_time, color="r") + plt.xlabel("Time (s)") plt.ylabel(self.metadata_name) - output_file_name = os.path.abspath(os.path.join(output_folder, _short_file + '.png')) + output_file_name = os.path.abspath(os.path.join(output_folder, _short_file + ".png")) plt.savefig(output_file_name) plt.close(fig) - box = widgets.HBox([widgets.Label("Exporting Images:", - layout=widgets.Layout(width='20%')), - widgets.IntProgress(min=0, - max=self.nbr_images - 1, - layout=widgets.Layout(width='50%'))]) + box = widgets.HBox( + [ + widgets.Label("Exporting Images:", layout=widgets.Layout(width="20%")), + widgets.IntProgress(min=0, max=self.nbr_images - 1, layout=widgets.Layout(width="50%")), + ] + ) progress_bar = box.children[1] display(box) @@ -157,4 +157,4 @@ def plot_images_and_profile(file_index=0): progress_bar.value = _index + 1 box.close() - display(HTML('Images created in ' + output_folder + '')) + display(HTML('Images created in ' + output_folder + "")) diff --git a/notebooks/__code/display_and_export_images_with_time_stamp.py b/notebooks/__code/display_and_export_images_with_time_stamp.py index ad6526f7..637a87cd 100755 --- a/notebooks/__code/display_and_export_images_with_time_stamp.py +++ b/notebooks/__code/display_and_export_images_with_time_stamp.py @@ -1,53 +1,52 @@ -import matplotlib.pyplot as plt -import matplotlib.gridspec as gridspec -from ipywidgets.widgets import interact -import numpy as np import os +import matplotlib.gridspec as gridspec +import matplotlib.pyplot as plt +import numpy as np +from IPython.display import HTML, display from ipywidgets import widgets -from IPython.display import display, HTML - +from ipywidgets.widgets import interact from NeuNorm.normalization import Normalization +from __code import file_handler, ipywe from __code.metadata_handler import MetadataHandler -from __code import file_handler -from __code import ipywe -class DisplayExportScreenshots(object): - def __init__(self, working_dir='', verbose=False): +class DisplayExportScreenshots: + def __init__(self, working_dir="", verbose=False): self.working_dir = working_dir self.verbose = verbose def select_image_folder(self): - self.folder_ui = ipywe.fileselector.FileSelectorPanel(instruction='Select Raw Image Folder ...', - start_dir=self.working_dir, - type='directory') + self.folder_ui = ipywe.fileselector.FileSelectorPanel( + instruction="Select Raw Image Folder ...", start_dir=self.working_dir, type="directory" + ) self.folder_ui.show() - display(HTML( - 'If working with FITS, make sure you are working with the raw data set from raw folder!')) + display( + HTML( + 'If working with FITS, make sure you are working with the raw data set from raw folder!' + ) + ) def retrieve_time_stamp(self): - self.image_folder = self.folder_ui.selected [list_files, ext] = file_handler.retrieve_list_of_most_dominant_extension_from_folder(folder=self.image_folder) self.list_files = list_files - if ext.lower() in ['.tiff', '.tif']: - ext = 'tif' - elif ext.lower() == '.fits': - ext = 'fits' + if ext.lower() in [".tiff", ".tif"]: + ext = "tif" + elif ext.lower() == ".fits": + ext = "fits" else: raise ValueError - box = widgets.HBox([widgets.Label("Retrieving Time Stamp", - layout = widgets.Layout(width='20%')), - widgets.IntProgress(min=0, - max=len(list_files), - value=0, - layout=widgets.Layout(width='50%')) - ]) + box = widgets.HBox( + [ + widgets.Label("Retrieving Time Stamp", layout=widgets.Layout(width="20%")), + widgets.IntProgress(min=0, max=len(list_files), value=0, layout=widgets.Layout(width="50%")), + ] + ) progress_bar = box.children[1] display(box) @@ -55,7 +54,7 @@ def retrieve_time_stamp(self): for _index, _file in enumerate(list_files): _time_stamp = MetadataHandler.get_time_stamp(file_name=_file, ext=ext) list_time_stamp.append(_time_stamp) - progress_bar.value = _index+1 + progress_bar.value = _index + 1 self.list_time_stamp = list_time_stamp @@ -64,119 +63,93 @@ def retrieve_time_stamp(self): def load(self): o_norm = Normalization() o_norm.load(file=self.list_files, notebook=True) - self.images_array = o_norm.data['sample']['data'] + self.images_array = o_norm.data["sample"]["data"] def preview(self): - #figure, axis = plt.subplots() + # figure, axis = plt.subplots() [height, width] = np.shape(self.images_array[0]) text_y = 0.1 * height text_x = 0.6 * width def display_selected_image(index, text_x, text_y, pre_text, post_text, color): - - font = {'family': 'serif', - 'color': color, - 'weight': 'normal', - 'size': 16} + font = {"family": "serif", "color": color, "weight": "normal", "size": 16} fig = plt.figure(figsize=(15, 10)) gs = gridspec.GridSpec(1, 1) ax = plt.subplot(gs[0, 0]) - im=ax.imshow(self.images_array[index], interpolation='nearest') - plt.title("image index {}".format(index)) - plt.text(text_x, text_y, "{} {:.2f}{}".format(pre_text, - self.list_time_offset[index], - post_text), - fontdict=font) + im = ax.imshow(self.images_array[index], interpolation="nearest") + plt.title(f"image index {index}") + plt.text(text_x, text_y, f"{pre_text} {self.list_time_offset[index]:.2f}{post_text}", fontdict=font) fig.colorbar(im) plt.show() - return {'text_x': text_x, 'text_y': text_y, - 'pre_text': pre_text, 'post_text': post_text, - 'color': color} - - self.preview = interact(display_selected_image, - index=widgets.IntSlider(min=0, - max=len(self.list_files), - continuous_update=False), - text_x=widgets.IntSlider(min=0, - max=width, - value=text_x, - description='Text x_offset', - continuous_update=False), - text_y=widgets.IntSlider(min=0, - max=height, - value=text_y, - description='Text y_offset', - continuous_upadte=False), - pre_text=widgets.Text(value='Time Offset', - description='Pre text'), - post_text=widgets.Text(value='(s)', - description='Post text'), - color=widgets.RadioButtons(options=['red', 'blue', 'white', 'black', 'yellow'], - value='red', - description='Text Color')) + return {"text_x": text_x, "text_y": text_y, "pre_text": pre_text, "post_text": post_text, "color": color} + + self.preview = interact( + display_selected_image, + index=widgets.IntSlider(min=0, max=len(self.list_files), continuous_update=False), + text_x=widgets.IntSlider( + min=0, max=width, value=text_x, description="Text x_offset", continuous_update=False + ), + text_y=widgets.IntSlider( + min=0, max=height, value=text_y, description="Text y_offset", continuous_upadte=False + ), + pre_text=widgets.Text(value="Time Offset", description="Pre text"), + post_text=widgets.Text(value="(s)", description="Post text"), + color=widgets.RadioButtons( + options=["red", "blue", "white", "black", "yellow"], value="red", description="Text Color" + ), + ) def select_export_folder(self): - self.output_folder_ui = ipywe.fileselector.FileSelectorPanel(instruction='Select output Folder ...', - start_dir=self.working_dir, - type='directory') + self.output_folder_ui = ipywe.fileselector.FileSelectorPanel( + instruction="Select output Folder ...", start_dir=self.working_dir, type="directory" + ) self.output_folder_ui.show() def export(self): output_folder = self.output_folder_ui.selected input_folder_basename = os.path.basename(self.image_folder) - output_folder = os.path.join(output_folder, input_folder_basename + '_with_timestamp_info') + output_folder = os.path.join(output_folder, input_folder_basename + "_with_timestamp_info") if os.path.exists(output_folder): import shutil + shutil.rmtree(output_folder) os.makedirs(output_folder) - text_x = self.preview.widget.result['text_x'] - text_y = self.preview.widget.result['text_y'] - pre_text = self.preview.widget.result['pre_text'] - post_text = self.preview.widget.result['post_text'] - color = self.preview.widget.result['color'] + text_x = self.preview.widget.result["text_x"] + text_y = self.preview.widget.result["text_y"] + pre_text = self.preview.widget.result["pre_text"] + post_text = self.preview.widget.result["post_text"] + color = self.preview.widget.result["color"] def plot_selected_image(index): - _short_file = os.path.basename(self.list_files[index]) - output_file_name = os.path.abspath(os.path.join(output_folder, _short_file + '.png')) + output_file_name = os.path.abspath(os.path.join(output_folder, _short_file + ".png")) - font = {'family': 'serif', - 'color': color, - 'weight': 'normal', - 'size': 16} + font = {"family": "serif", "color": color, "weight": "normal", "size": 16} fig = plt.figure(figsize=(15, 10)) gs = gridspec.GridSpec(1, 1) ax = plt.subplot(gs[0, 0]) - im = ax.imshow(self.images_array[index], interpolation='nearest') - plt.title("image index {}".format(index)) - plt.text(text_x, text_y, "{}{:.2f}{}".format(pre_text, - self.list_time_offset[index], - post_text), - fontdict=font) + im = ax.imshow(self.images_array[index], interpolation="nearest") + plt.title(f"image index {index}") + plt.text(text_x, text_y, f"{pre_text}{self.list_time_offset[index]:.2f}{post_text}", fontdict=font) fig.colorbar(im) plt.savefig(output_file_name) plt.close(fig) - box = widgets.HBox([widgets.Label("Exporting Images:", - layout=widgets.Layout(width='20%')), - widgets.IntProgress(min=0, - max=len(self.list_files) - 1, - layout=widgets.Layout(width='50%'))]) + box = widgets.HBox( + [ + widgets.Label("Exporting Images:", layout=widgets.Layout(width="20%")), + widgets.IntProgress(min=0, max=len(self.list_files) - 1, layout=widgets.Layout(width="50%")), + ] + ) progress_bar = box.children[1] display(box) for _index in np.arange(len(self.list_files)): plot_selected_image(index=_index) progress_bar.value = _index + 1 - - - - - - diff --git a/notebooks/__code/display_counts_of_region_vs_stack.py b/notebooks/__code/display_counts_of_region_vs_stack.py index e4f369e3..f8f6bab9 100755 --- a/notebooks/__code/display_counts_of_region_vs_stack.py +++ b/notebooks/__code/display_counts_of_region_vs_stack.py @@ -1,57 +1,51 @@ -import pyqtgraph as pg -from pyqtgraph.dockarea import * -import numpy as np -import os import numbers +import os -from qtpy.QtWidgets import QFileDialog, QMainWindow, QVBoxLayout -from qtpy import QtGui +import numpy as np +import pyqtgraph as pg -#from neutronbraggedge.experiment_handler import * +# from neutronbraggedge.experiment_handler import * from NeuNorm.normalization import Normalization from neutronbraggedge.experiment_handler import * +from pyqtgraph.dockarea import * +from qtpy.QtWidgets import QFileDialog, QMainWindow, QVBoxLayout -from __code import load_ui -from __code.ui_display_counts_of_region_vs_stack import Ui_MainWindow as UiMainWindow -from __code import ipywe +from __code import ipywe, load_ui -class DisplayCountsVsStack(object): - def __init__(self, working_dir=''): +class DisplayCountsVsStack: + def __init__(self, working_dir=""): self.working_dir = working_dir def select_input_folder(self): - self.input_folder_ui = ipywe.fileselector.FileSelectorPanel(instruction='Select Input Folder', - type='directory', - start_dir=self.working_dir, - multiple=False) + self.input_folder_ui = ipywe.fileselector.FileSelectorPanel( + instruction="Select Input Folder", type="directory", start_dir=self.working_dir, multiple=False + ) self.input_folder_ui.show() class ImageWindow(QMainWindow): - stack = [] integrated_stack = [] - working_folder = '' - x_axis = {'label': 'File Index', 'type': 'file_index', 'data': []} - y_axis = {'label': 'Mean Counts', 'data': []} - spectra_file = '' - - def __init__(self, parent=None, display_counts_vs_stack=None): + working_folder = "" + x_axis = {"label": "File Index", "type": "file_index", "data": []} + y_axis = {"label": "Mean Counts", "data": []} + spectra_file = "" + def __init__(self, parent=None, display_counts_vs_stack=None): self.o_display_counts_vs_stack = display_counts_vs_stack self.working_folder = self.o_display_counts_vs_stack.input_folder_ui.selected self.load_data() QMainWindow.__init__(self, parent=parent) - ui_full_path = os.path.join(os.path.dirname(os.path.dirname(__file__)), - os.path.join('ui', - 'ui_display_counts_of_region_vs_stack.ui')) + ui_full_path = os.path.join( + os.path.dirname(os.path.dirname(__file__)), os.path.join("ui", "ui_display_counts_of_region_vs_stack.ui") + ) self.ui = load_ui(ui_full_path, baseinstance=self) self.setWindowTitle("Select ROI to display profile over all images.") - #self.stack = np.array(stack) + # self.stack = np.array(stack) [self.nbr_files, height, width] = np.shape(self.stack) self.integrated_stack = self.stack.sum(axis=0) @@ -66,46 +60,46 @@ def load_data(self): working_folder = self.working_folder o_norm = Normalization() o_norm.load(folder=working_folder, notebook=True) - self.stack = np.array(o_norm.data['sample']['data']) + self.stack = np.array(o_norm.data["sample"]["data"]) def update_plot(self): self.update_x_axis() self.plot() - + def init_label(self): - _tof_label = u"TOF (\u00B5s)" + _tof_label = "TOF (\u00b5s)" self.ui.tof_radio_button.setText(_tof_label) - _lambda_label = u"lambda (\u212B)" + _lambda_label = "lambda (\u212b)" self.ui.lambda_radio_button.setText(_lambda_label) - _offset_label = u"\u00B5s" + _offset_label = "\u00b5s" self.ui.detector_offset_units.setText(_offset_label) def display_image(self): self.ui.image_view.setImage(self.integrated_stack) def plot(self): - x_axis_data = self.x_axis['data'] - x_axis_label = self.x_axis['label'] - - y_axis_data = self.y_axis['data'] - y_axis_label = self.y_axis['label'] - - x_axis_data = x_axis_data[0: len(y_axis_data)] - + x_axis_data = self.x_axis["data"] + x_axis_label = self.x_axis["label"] + + y_axis_data = self.y_axis["data"] + y_axis_label = self.y_axis["label"] + + x_axis_data = x_axis_data[0 : len(y_axis_data)] + self.counts_vs_index.clear() self.counts_vs_index.plot(x_axis_data, y_axis_data) - - self.counts_vs_index.setLabel('bottom', x_axis_label) - self.counts_vs_index.setLabel('left', y_axis_label) - + + self.counts_vs_index.setLabel("bottom", x_axis_label) + self.counts_vs_index.setLabel("left", y_axis_label) + def initialize_pyqtgraph(self): area = DockArea() area.setVisible(True) d1 = Dock("Image Integrated Preview", size=(200, 300)) d2 = Dock("Counts vs Image Index of Selection", size=(200, 100)) - area.addDock(d1, 'top') - area.addDock(d2, 'bottom') + area.addDock(d1, "top") + area.addDock(d2, "bottom") preview_widget = pg.GraphicsLayoutWidget() pg.setConfigOptions(antialias=True) @@ -116,14 +110,13 @@ def initialize_pyqtgraph(self): self.ui.image_view.ui.roiBtn.hide() # default ROI - self.ui.roi = pg.ROI( - [0, 0], [20, 20], pen=(62, 13, 244), scaleSnap=True) #blue + self.ui.roi = pg.ROI([0, 0], [20, 20], pen=(62, 13, 244), scaleSnap=True) # blue self.ui.roi.addScaleHandle([1, 1], [0, 0]) self.ui.image_view.addItem(self.ui.roi) self.ui.roi.sigRegionChanged.connect(self.roi_changed) d1.addWidget(self.ui.image_view) - self.counts_vs_index = pg.PlotWidget(title='') + self.counts_vs_index = pg.PlotWidget(title="") self.counts_vs_index.plot() d2.addWidget(self.counts_vs_index) @@ -133,79 +126,80 @@ def initialize_pyqtgraph(self): self.ui.widget.setLayout(vertical_layout) def roi_changed(self): - region = self.ui.roi.getArraySlice(self.integrated_stack, - self.ui.image_view.imageItem) + region = self.ui.roi.getArraySlice(self.integrated_stack, self.ui.image_view.imageItem) x0 = region[0][0].start x1 = region[0][0].stop - 1 y0 = region[0][1].start y1 = region[0][1].stop - 1 mean_selection = [_data[x0:x1, y0:y1].mean() for _data in self.stack] - self.y_axis['data'] = mean_selection + self.y_axis["data"] = mean_selection self.plot() # x_axis def get_x_axis_selected(self): if self.ui.file_index_ratio_button.isChecked(): - return 'file_index' + return "file_index" elif self.ui.tof_radio_button.isChecked(): - return 'tof' + return "tof" else: - return 'lambda' + return "lambda" def update_x_axis(self): x_axis_selected = self.get_x_axis_selected() b_enable_only_file_index_button = False - + spectra_file = self.spectra_file if not os.path.exists(spectra_file): - x_axis_selected = 'file_index' + x_axis_selected = "file_index" b_enable_only_file_index_button = True distance_source_detector = self.ui.distance_source_detector_value.text() if not distance_source_detector: - x_axis_selected = 'file_index' + x_axis_selected = "file_index" b_enable_only_file_index_button = True elif not isinstance(float(distance_source_detector), numbers.Number): - x_axis_selected = 'file_index' + x_axis_selected = "file_index" b_enable_only_file_index_button = True - + detector_offset = str(self.ui.detector_offset_value.text()) if not detector_offset: - x_axis_selected = 'file_index' + x_axis_selected = "file_index" b_enable_only_file_index_button = True elif not isinstance(float(detector_offset), numbers.Number): - x_axis_selected = 'file_index' + x_axis_selected = "file_index" b_enable_only_file_index_button = True - - self.radio_buttons_status(b_enable_only_file_index_button = b_enable_only_file_index_button) - - self.x_axis['type'] = x_axis_selected - if x_axis_selected == 'file_index': - self.x_axis['data'] = np.arange(self.nbr_files) - self.x_axis['label'] = 'File Index' + + self.radio_buttons_status(b_enable_only_file_index_button=b_enable_only_file_index_button) + + self.x_axis["type"] = x_axis_selected + if x_axis_selected == "file_index": + self.x_axis["data"] = np.arange(self.nbr_files) + self.x_axis["label"] = "File Index" else: _tof_handler = TOF(filename=spectra_file) - if x_axis_selected == 'tof': - self.x_axis['data'] = _tof_handler.tof_array - self.x_axis['label'] = u'TOF (\u00B5s)' + if x_axis_selected == "tof": + self.x_axis["data"] = _tof_handler.tof_array + self.x_axis["label"] = "TOF (\u00b5s)" else: - _exp = Experiment(tof = _tof_handler.tof_array, - distance_source_detector_m = float(distance_source_detector), - detector_offset_micros= float(detector_offset)) - self.x_axis['data'] = _exp.lambda_array * 1e10 - self.x_axis['label'] = u'\u03BB (\u212B)' + _exp = Experiment( + tof=_tof_handler.tof_array, + distance_source_detector_m=float(distance_source_detector), + detector_offset_micros=float(detector_offset), + ) + self.x_axis["data"] = _exp.lambda_array * 1e10 + self.x_axis["label"] = "\u03bb (\u212b)" def radio_buttons_status(self, b_enable_only_file_index_button=False): self.ui.tof_radio_button.setEnabled(not b_enable_only_file_index_button) self.ui.lambda_radio_button.setEnabled(not b_enable_only_file_index_button) if b_enable_only_file_index_button: self.ui.file_index_ratio_button.setChecked(True) - + def radio_button_clicked(self): self.update_plot() - + def distance_source_detector_validated(self): self.update_plot() @@ -214,9 +208,8 @@ def detector_offset_validated(self): def time_spectra_file_browse_button_clicked(self): spectra_file = QFileDialog.getOpenFileName( - caption='Select Time Spectra', - directory=self.working_folder, - filter='txt (*_Spectra.txt);;All (*.*)') + caption="Select Time Spectra", directory=self.working_folder, filter="txt (*_Spectra.txt);;All (*.*)" + ) spectra_file = spectra_file[0] if spectra_file: self.ui.time_spectra_file.setText(os.path.basename(spectra_file)) diff --git a/notebooks/__code/display_counts_of_region_vs_stack_vs_theory.py b/notebooks/__code/display_counts_of_region_vs_stack_vs_theory.py index 8e7d65bf..93ca5198 100755 --- a/notebooks/__code/display_counts_of_region_vs_stack_vs_theory.py +++ b/notebooks/__code/display_counts_of_region_vs_stack_vs_theory.py @@ -1,47 +1,43 @@ +import numbers +import os + +import numpy as np import pyqtgraph as pg from pyqtgraph.dockarea import * -import numpy as np -import os -import numbers try: - from PyQt4.QtGui import QFileDialog from PyQt4 import QtCore, QtGui - from PyQt4.QtGui import QMainWindow + from PyQt4.QtGui import QFileDialog, QMainWindow except ImportError: - from PyQt5.QtWidgets import QFileDialog - from PyQt5 import QtCore, QtGui - from PyQt5.QtWidgets import QApplication, QMainWindow + from PyQt5 import QtGui + from PyQt5.QtWidgets import QFileDialog, QMainWindow -from neutronbraggedge.experiment_handler import * from ImagingReso import _utilities +from neutronbraggedge.experiment_handler import * from __code.ui_resonance_imaging_experiment_vs_theory import Ui_MainWindow as UiMainWindow class ImageWindow(QMainWindow): - - pen_color = ['b', 'g', 'r', 'c', 'm', 'y', 'k', 'w'] - pen_symbol = ['o', 's', 't', 'd', '+'] + pen_color = ["b", "g", "r", "c", "m", "y", "k", "w"] + pen_symbol = ["o", "s", "t", "d", "+"] stack = [] integrated_stack = [] - working_folder = '' - x_axis = {'file_index': [], - 'tof': [], - 'ev': [], - 'lambda': []} - x_axis_label = {'file_index': 'file index', - 'tof': u'TOF (\u00B5s)', - 'ev': 'eV', - 'lambda': u'\u03BB (\u212B)', - } - y_axis = {'label': 'Mean Counts', 'data': []} + working_folder = "" + x_axis = {"file_index": [], "tof": [], "ev": [], "lambda": []} + x_axis_label = { + "file_index": "file index", + "tof": "TOF (\u00b5s)", + "ev": "eV", + "lambda": "\u03bb (\u212b)", + } + y_axis = {"label": "Mean Counts", "data": []} elements_to_plot = {} # ex U, U235...etc to plot - spectra_file = '' + spectra_file = "" b_enable_only_file_index_button = True - def __init__(self, parent=None, stack=[], working_folder='', o_reso=None): + def __init__(self, parent=None, stack=[], working_folder="", o_reso=None): QMainWindow.__init__(self, parent=parent) self.ui = UiMainWindow() self.ui.setupUi(self) @@ -66,11 +62,11 @@ def update_plot(self): self.plot() def init_label(self): - _tof_label = u"TOF (\u00B5s)" + _tof_label = "TOF (\u00b5s)" self.ui.tof_radio_button.setText(_tof_label) - _lambda_label = u"lambda (\u212B)" + _lambda_label = "lambda (\u212b)" self.ui.lambda_radio_button.setText(_lambda_label) - _offset_label = u"\u00B5s" + _offset_label = "\u00b5s" self.ui.detector_offset_units.setText(_offset_label) def display_image(self): @@ -79,46 +75,46 @@ def display_image(self): def plot(self): x_axis_selected = self.get_x_axis_selected() x_axis_data = self.x_axis[x_axis_selected] - y_axis_data = self.y_axis['data'] - -# print("for {}".format(x_axis_selected)) -# pprint.pprint(y_axis_data[0:10]) -# pprint.pprint(x_axis_data[0:10]) -# print() - - y_axis_label = self.y_axis['label'] - - if x_axis_selected == 'ev': + y_axis_data = self.y_axis["data"] + + # print("for {}".format(x_axis_selected)) + # pprint.pprint(y_axis_data[0:10]) + # pprint.pprint(x_axis_data[0:10]) + # print() + + y_axis_label = self.y_axis["label"] + + if x_axis_selected == "ev": y_axis_data = y_axis_data[::-1] x_axis_data = x_axis_data[::-1] - - x_axis_data = x_axis_data[0: len(y_axis_data)] - + + x_axis_data = x_axis_data[0 : len(y_axis_data)] + self.counts_vs_index.clear() try: self.legend.scene().removeItem(self.legend) except: pass self.legend = self.counts_vs_index.addLegend() - self.counts_vs_index.plot( - x_axis_data, y_axis_data, name='Experimental') + self.counts_vs_index.plot(x_axis_data, y_axis_data, name="Experimental") - self.counts_vs_index.setLabel('bottom', x_axis_selected) - self.counts_vs_index.setLabel('left', y_axis_label) + self.counts_vs_index.setLabel("bottom", x_axis_selected) + self.counts_vs_index.setLabel("left", y_axis_label) # plot all elements elements_to_plot = self.elements_to_plot _index_pen_color = 0 _index_pen_symbol = 0 for _label in elements_to_plot.keys(): - _x_axis_data = elements_to_plot[_label]['x_axis'] - _y_axis_data = elements_to_plot[_label]['y_axis'] + _x_axis_data = elements_to_plot[_label]["x_axis"] + _y_axis_data = elements_to_plot[_label]["y_axis"] self.counts_vs_index.plot( _x_axis_data, _y_axis_data, name=_label, pen=self.pen_color[_index_pen_color], - penSymbol=self.pen_symbol[_index_pen_symbol]) + penSymbol=self.pen_symbol[_index_pen_symbol], + ) _index_pen_color += 1 if _index_pen_color >= len(self.pen_color): _index_pen_color = 0 @@ -134,8 +130,8 @@ def initialize_pyqtgraph(self): d1 = Dock("Image Integrated Preview", size=(300, 800)) d2 = Dock("Counts vs Image Index of Selection", size=(300, 800)) - area.addDock(d1, 'right') - area.addDock(d2, 'left') + area.addDock(d1, "right") + area.addDock(d2, "left") preview_widget = pg.GraphicsLayoutWidget() pg.setConfigOptions(antialias=True) @@ -146,15 +142,13 @@ def initialize_pyqtgraph(self): self.ui.image_view.ui.roiBtn.hide() # default ROI - self.ui.roi = pg.ROI([0, 0], [20, 20], - pen=(62, 13, 244), - scaleSnap=True) #blue + self.ui.roi = pg.ROI([0, 0], [20, 20], pen=(62, 13, 244), scaleSnap=True) # blue self.ui.roi.addScaleHandle([1, 1], [0, 0]) self.ui.image_view.addItem(self.ui.roi) self.ui.roi.sigRegionChanged.connect(self.roi_changed) d1.addWidget(self.ui.image_view) - self.counts_vs_index = pg.PlotWidget(title='') + self.counts_vs_index = pg.PlotWidget(title="") self.counts_vs_index.plot() d2.addWidget(self.counts_vs_index) @@ -164,34 +158,32 @@ def initialize_pyqtgraph(self): self.ui.widget.setLayout(vertical_layout) def roi_changed(self): - region = self.ui.roi.getArraySlice(self.integrated_stack, - self.ui.image_view.imageItem) + region = self.ui.roi.getArraySlice(self.integrated_stack, self.ui.image_view.imageItem) x0 = region[0][0].start x1 = region[0][0].stop - 1 y0 = region[0][1].start y1 = region[0][1].stop - 1 mean_selection = [_data[x0:x1, y0:y1].mean() for _data in self.stack] - self.y_axis['data'] = mean_selection + self.y_axis["data"] = mean_selection self.plot() # x_axis def get_x_axis_selected(self): if self.ui.file_index_ratio_button.isChecked(): - return 'file_index' + return "file_index" elif self.ui.tof_radio_button.isChecked(): - return 'tof' + return "tof" elif self.ui.lambda_radio_button.isChecked(): - return 'lambda' + return "lambda" else: - return 'ev' + return "ev" def update_radio_button_status(self): - x_axis_selected = self.get_x_axis_selected() # enable or not list of element to display - if x_axis_selected == 'file_index': + if x_axis_selected == "file_index": list_status = False else: list_status = True @@ -200,86 +192,82 @@ def update_radio_button_status(self): spectra_file = self.spectra_file if not os.path.exists(spectra_file): - x_axis_selected = 'file_index' + x_axis_selected = "file_index" b_enable_only_file_index_button = True distance_source_detector = self.ui.distance_source_detector_value.text() if not distance_source_detector: - x_axis_selected = 'file_index' + x_axis_selected = "file_index" b_enable_only_file_index_button = True elif not isinstance(float(distance_source_detector), numbers.Number): - x_axis_selected = 'file_index' + x_axis_selected = "file_index" b_enable_only_file_index_button = True detector_offset = str(self.ui.detector_offset_value.text()) if not detector_offset: - x_axis_selected = 'file_index' + x_axis_selected = "file_index" b_enable_only_file_index_button = True elif not isinstance(float(detector_offset), numbers.Number): - x_axis_selected = 'file_index' + x_axis_selected = "file_index" b_enable_only_file_index_button = True - self.set_radio_buttons_status( - b_enable_only_file_index_button=b_enable_only_file_index_button) + self.set_radio_buttons_status(b_enable_only_file_index_button=b_enable_only_file_index_button) self.b_enable_only_file_index_button = b_enable_only_file_index_button - + self.update_x_axis() - + def update_x_axis(self): - - self.x_axis['file_index'] = np.arange(len(self.stack)) + self.x_axis["file_index"] = np.arange(len(self.stack)) if not self.b_enable_only_file_index_button: - # tof spectra_file = self.spectra_file _tof_handler = TOF(filename=spectra_file) - self.x_axis['tof'] = _tof_handler.tof_array - + self.x_axis["tof"] = _tof_handler.tof_array + # lambda distance_source_detector = self.ui.distance_source_detector_value.text() detector_offset = str(self.ui.detector_offset_value.text()) _exp = Experiment( tof=_tof_handler.tof_array, distance_source_detector_m=float(distance_source_detector), - detector_offset_micros=float(detector_offset)) - self.x_axis['lambda'] = _exp.lambda_array * 1e10 - + detector_offset_micros=float(detector_offset), + ) + self.x_axis["lambda"] = _exp.lambda_array * 1e10 + # ev - _exp = Experiment(tof = _tof_handler.tof_array, - distance_source_detector_m = float(distance_source_detector), - detector_offset_micros= float(detector_offset)) - _exp_ev = _utilities.convert_x_axis(array=_exp.lambda_array*1e10, - from_units='angstroms', - to_units='ev', - offset_us=float(detector_offset), - source_to_detector_m=float(distance_source_detector)) - - - -# _exp_ev = np.linspace(1, 3000, len(_tof_handler.tof_array)) -# import scipy -# _exp_ev = scipy.random.ranf(len(_tof_handler.tof_array)) * 3000000 -# _exp_ev.sort() -# _exp_ev = _exp_ev[::-1] - self.x_axis['ev'] = _exp_ev - -# with open('/users/j35/Desktop/test_output.txt', 'w') as f: -# for _data in _exp_ev: -# f.write(str(_data) + '\n') + _exp = Experiment( + tof=_tof_handler.tof_array, + distance_source_detector_m=float(distance_source_detector), + detector_offset_micros=float(detector_offset), + ) + _exp_ev = _utilities.convert_x_axis( + array=_exp.lambda_array * 1e10, + from_units="angstroms", + to_units="ev", + offset_us=float(detector_offset), + source_to_detector_m=float(distance_source_detector), + ) + + # _exp_ev = np.linspace(1, 3000, len(_tof_handler.tof_array)) + # import scipy + # _exp_ev = scipy.random.ranf(len(_tof_handler.tof_array)) * 3000000 + # _exp_ev.sort() + # _exp_ev = _exp_ev[::-1] + self.x_axis["ev"] = _exp_ev + + # with open('/users/j35/Desktop/test_output.txt', 'w') as f: + # for _data in _exp_ev: + # f.write(str(_data) + '\n') else: - - self.x_axis['ev'] = [] - self.x_axis['tof'] = [] - self.x_axis['lambda'] = [] - + self.x_axis["ev"] = [] + self.x_axis["tof"] = [] + self.x_axis["lambda"] = [] + def set_radio_buttons_status(self, b_enable_only_file_index_button=False): - self.ui.tof_radio_button.setEnabled( - not b_enable_only_file_index_button) - self.ui.lambda_radio_button.setEnabled( - not b_enable_only_file_index_button) - self.ui.energy_radio_button.setEnabled( - not b_enable_only_file_index_button) + self.ui.tof_radio_button.setEnabled(not b_enable_only_file_index_button) + self.ui.lambda_radio_button.setEnabled(not b_enable_only_file_index_button) + self.ui.energy_radio_button.setEnabled(not b_enable_only_file_index_button) if b_enable_only_file_index_button: self.ui.file_index_ratio_button.setChecked(True) @@ -299,9 +287,8 @@ def detector_offset_validated(self): def time_spectra_file_browse_button_clicked(self): spectra_file = QFileDialog.getOpenFileName( - caption='Select Time Spectra', - directory=self.working_folder, - filter='txt (*_Spectra.txt);;All (*.*)') + caption="Select Time Spectra", directory=self.working_folder, filter="txt (*_Spectra.txt);;All (*.*)" + ) if spectra_file: self.ui.time_spectra_file.setText(os.path.basename(spectra_file)) self.spectra_file = spectra_file @@ -315,13 +302,12 @@ def init_list_of_things_to_plot(self): list_layers = stack.keys() for _layer in list_layers: list_things_to_plot.append(_layer) - list_elements = stack[_layer]['elements'] + list_elements = stack[_layer]["elements"] for _element in list_elements: - list_things_to_plot.append(_layer + ' -> ' + _element) - list_isotopes = stack[_layer][_element]['isotopes']['list'] + list_things_to_plot.append(_layer + " -> " + _element) + list_isotopes = stack[_layer][_element]["isotopes"]["list"] for _isotope in list_isotopes: - list_things_to_plot.append(_layer + ' -> ' + _element + - ' -> ' + _isotope) + list_things_to_plot.append(_layer + " -> " + _element + " -> " + _isotope) self.ui.list_to_plot_widget.addItems(list_things_to_plot) @@ -335,7 +321,7 @@ def plot_selection_changed(self, item): x_axis_ev = [] x_axis_selected = self.get_x_axis_selected() - if x_axis_selected == 'file_index': + if x_axis_selected == "file_index": self.elements_to_plot = _elements_to_plot return @@ -345,60 +331,54 @@ def plot_selection_changed(self, item): _text = self.ui.list_to_plot_widget.item(_row_selected).text() _layer_element_isotope = self.__parse_layer_element_isotope(_text) - _layer = _layer_element_isotope['layer'] - _element = _layer_element_isotope['element'] - _isotope = _layer_element_isotope['isotope'] - - if _element == '': - transmission = self.o_reso.stack_signal[_layer]['transmission'] - x_axis_ev = self.o_reso.stack_signal[_layer]['energy_eV'] - elif _isotope == '': - transmission = self.o_reso.stack_signal[_layer][_element][ - 'transmission'] - x_axis_ev = self.o_reso.stack_signal[_layer][_element][ - 'energy_eV'] + _layer = _layer_element_isotope["layer"] + _element = _layer_element_isotope["element"] + _isotope = _layer_element_isotope["isotope"] + + if _element == "": + transmission = self.o_reso.stack_signal[_layer]["transmission"] + x_axis_ev = self.o_reso.stack_signal[_layer]["energy_eV"] + elif _isotope == "": + transmission = self.o_reso.stack_signal[_layer][_element]["transmission"] + x_axis_ev = self.o_reso.stack_signal[_layer][_element]["energy_eV"] else: - transmission = self.o_reso.stack_signal[_layer][_element][ - _isotope]['transmission'] - x_axis_ev = self.o_reso.stack_signal[_layer][_element][ - _isotope]['energy_eV'] + transmission = self.o_reso.stack_signal[_layer][_element][_isotope]["transmission"] + x_axis_ev = self.o_reso.stack_signal[_layer][_element][_isotope]["energy_eV"] _elements_to_plot[_text] = {} - _elements_to_plot[_text]['y_axis'] = transmission + _elements_to_plot[_text]["y_axis"] = transmission x_axis = [] - if x_axis_selected == 'lambda': - x_axis = _utilities.convert_x_axis( - array=x_axis_ev, from_units='ev', to_units='angstroms') - elif x_axis_selected == 'tof': + if x_axis_selected == "lambda": + x_axis = _utilities.convert_x_axis(array=x_axis_ev, from_units="ev", to_units="angstroms") + elif x_axis_selected == "tof": detector_offset = float(self.ui.detector_offset_value.text()) - distance_source_detector = float( - self.ui.distance_source_detector_value.text()) + distance_source_detector = float(self.ui.distance_source_detector_value.text()) x_axis = _utilities.convert_x_axis( array=x_axis_ev, - from_units='ev', - to_units='s', + from_units="ev", + to_units="s", offset_us=detector_offset, - source_to_detector_m=distance_source_detector) + source_to_detector_m=distance_source_detector, + ) else: # ev x_axis = x_axis_ev - _elements_to_plot[_text]['x_axis'] = x_axis + _elements_to_plot[_text]["x_axis"] = x_axis self.elements_to_plot = _elements_to_plot self.plot() def __parse_layer_element_isotope(self, text): - ''' this will create a dictionary of each data to plot - ''' - _dict = {'layer': '', 'element': '', 'isotope': ''} + """this will create a dictionary of each data to plot""" + _dict = {"layer": "", "element": "", "isotope": ""} - parse_text = text.split(' -> ') - _dict['layer'] = parse_text[0] + parse_text = text.split(" -> ") + _dict["layer"] = parse_text[0] if len(parse_text) >= 2: - _dict['element'] = parse_text[1] + _dict["element"] = parse_text[1] if len(parse_text) >= 3: - _dict['isotope'] = parse_text[2] + _dict["isotope"] = parse_text[2] return _dict diff --git a/notebooks/__code/display_file_names_vs_time_stamp.py b/notebooks/__code/display_file_names_vs_time_stamp.py index eff53f98..4cc94a72 100755 --- a/notebooks/__code/display_file_names_vs_time_stamp.py +++ b/notebooks/__code/display_file_names_vs_time_stamp.py @@ -1,56 +1,58 @@ +import os + import matplotlib.pyplot as plt -from ipywidgets.widgets import interact import numpy as np -import os +from IPython.display import HTML, display from ipywidgets import widgets -from IPython.display import display, HTML +from ipywidgets.widgets import interact # import plotly.plotly as py # import plotly.graph_objs as go # from plotly.offline import iplot # init_notebook_mode() - from NeuNorm.normalization import Normalization -from __code.metadata_handler import MetadataHandler -from __code import file_handler from __code import ipywe +from __code.metadata_handler import MetadataHandler -class DisplayFileNamesVsTimeStamp(object): - def __init__(self, working_dir='', verbose=False): +class DisplayFileNamesVsTimeStamp: + def __init__(self, working_dir="", verbose=False): self.working_dir = working_dir self.verbose = verbose def select_image_folder(self): - self.folder_ui = ipywe.fileselector.FileSelectorPanel(instruction='Select Raw Images ...', - start_dir=self.working_dir, - multiple=True, - next=self.retrieve_time_stamp) + self.folder_ui = ipywe.fileselector.FileSelectorPanel( + instruction="Select Raw Images ...", + start_dir=self.working_dir, + multiple=True, + next=self.retrieve_time_stamp, + ) self.folder_ui.show() - display(HTML( - 'If working with FITS, make sure you are working with the raw data set from raw folder!')) + display( + HTML( + 'If working with FITS, make sure you are working with the raw data set from raw folder!' + ) + ) def retrieve_time_stamp(self, result): - self.list_files = result [_, ext] = os.path.splitext(self.list_files[0]) - if ext.lower() in ['.tiff', '.tif']: - ext = 'tif' - elif ext.lower() == '.fits': - ext = 'fits' + if ext.lower() in [".tiff", ".tif"]: + ext = "tif" + elif ext.lower() == ".fits": + ext = "fits" else: raise ValueError - box = widgets.HBox([widgets.Label("Retrieving Time Stamp", - layout=widgets.Layout(width='20%')), - widgets.IntProgress(min=0, - max=len(self.list_files), - value=0, - layout=widgets.Layout(width='50%')) - ]) + box = widgets.HBox( + [ + widgets.Label("Retrieving Time Stamp", layout=widgets.Layout(width="20%")), + widgets.IntProgress(min=0, max=len(self.list_files), value=0, layout=widgets.Layout(width="50%")), + ] + ) progress_bar = box.children[1] display(box) @@ -63,45 +65,43 @@ def retrieve_time_stamp(self, result): _user_format = MetadataHandler.convert_to_human_readable_format(_time_stamp) list_time_stamp_user_format.append(_user_format) - progress_bar.value = _index+1 + progress_bar.value = _index + 1 self.list_time_stamp = list_time_stamp self.list_time_stamp_user_format = list_time_stamp_user_format box.close() def display(self): - # calculate absolute time offset (offset relative to first image) time_stamp_0 = self.list_time_stamp[0] self.absolute_time_offset = [t - time_stamp_0 for t in self.list_time_stamp] # relative time offset - relative_time_offset = [np.NaN] + relative_time_offset = [np.nan] for _index in np.arange(1, len(self.list_time_stamp)): - _value = self.list_time_stamp[_index] - self.list_time_stamp[_index-1] + _value = self.list_time_stamp[_index] - self.list_time_stamp[_index - 1] relative_time_offset.append(_value) self.relative_time_offset = relative_time_offset - fig, axes = plt.subplots(1,2, figsize=(10,5)) + fig, axes = plt.subplots(1, 2, figsize=(10, 5)) - axes[0].plot(self.relative_time_offset, '*') + axes[0].plot(self.relative_time_offset, "*") axes[0].set_xlabel("File Index") axes[0].set_ylabel("Relative Time Offset (s)") axes[0].set_title("Relative Time Offset (s)") - axes[1].plot(self.absolute_time_offset, 'r+') + axes[1].plot(self.absolute_time_offset, "r+") axes[1].set_xlabel("File Index") axes[1].set_ylabel("Absolute Time Offset (s)") axes[1].set_title("Absolute Time Offset (s)") def print_result(self): - timestamp_text_area = ["File name -> Time stamp (s)\n"] for _index, _file in enumerate(self.list_files): _short_file = os.path.basename(_file) _time = self.list_time_stamp[_index] - _text = "{} -> {}".format(_short_file, _time) + _text = f"{_short_file} -> {_time}" timestamp_text_area.append(_text) timestamp_text_area = "\n".join(timestamp_text_area) @@ -109,7 +109,7 @@ def print_result(self): for _index, _file in enumerate(self.list_files): _short_file = os.path.basename(_file) _relative_time = self.relative_time_offset[_index] - _text = "{} -> {}".format(_short_file, _relative_time) + _text = f"{_short_file} -> {_relative_time}" relative_text_area.append(_text) relative_text_area = "\n".join(relative_text_area) @@ -117,16 +117,15 @@ def print_result(self): for _index, _file in enumerate(self.list_files): _short_file = os.path.basename(_file) _absolute_time = self.absolute_time_offset[_index] - _text = "{} -> {}".format(_short_file, _absolute_time) + _text = f"{_short_file} -> {_absolute_time}" absolute_text_area.append(_text) absolute_text_area = "\n".join(absolute_text_area) - children = [widgets.Textarea("", layout=widgets.Layout(width="100%", - height="300px")), - widgets.Textarea("", layout=widgets.Layout(width="100%", - height="300px")), - widgets.Textarea("", layout=widgets.Layout(width="100%", - height="300px"))] + children = [ + widgets.Textarea("", layout=widgets.Layout(width="100%", height="300px")), + widgets.Textarea("", layout=widgets.Layout(width="100%", height="300px")), + widgets.Textarea("", layout=widgets.Layout(width="100%", height="300px")), + ] tab = widgets.Tab() tab.children = children tab.set_title(0, "Time Stamp(s)") @@ -146,64 +145,49 @@ def print_result(self): def load(self): o_norm = Normalization() o_norm.load(file=self.list_files, notebook=True) - self.images_array = o_norm.data['sample']['data'] + self.images_array = o_norm.data["sample"]["data"] def preview(self): - #figure, axis = plt.subplots() + # figure, axis = plt.subplots() [height, width] = np.shape(self.images_array[0]) text_y = 0.1 * height text_x = 0.6 * width def display_selected_image(index, text_x, text_y, pre_text, post_text, color): - - font = {'family': 'serif', - 'color': color, - 'weight': 'normal', - 'size': 16} + font = {"family": "serif", "color": color, "weight": "normal", "size": 16} fig = plt.figure(figsize=(15, 10)) gs = gridspec.GridSpec(1, 1) ax = plt.subplot(gs[0, 0]) - im=ax.imshow(self.images_array[index], interpolation='nearest') - plt.title("image index {}".format(index)) - plt.text(text_x, text_y, "{} {:.2f}{}".format(pre_text, - self.list_time_offset[index], - post_text), - fontdict=font) + im = ax.imshow(self.images_array[index], interpolation="nearest") + plt.title(f"image index {index}") + plt.text(text_x, text_y, f"{pre_text} {self.list_time_offset[index]:.2f}{post_text}", fontdict=font) fig.colorbar(im) plt.show() - return {'text_x': text_x, 'text_y': text_y, - 'pre_text': pre_text, 'post_text': post_text, - 'color': color} - - self.preview = interact(display_selected_image, - index=widgets.IntSlider(min=0, - max=len(self.list_files), - continuous_update=False), - text_x=widgets.IntSlider(min=0, - max=width, - value=text_x, - description='Text x_offset', - continuous_update=False), - text_y=widgets.IntSlider(min=0, - max=height, - value=text_y, - description='Text y_offset', - continuous_upadte=False), - pre_text=widgets.Text(value='Time Offset', - description='Pre text'), - post_text=widgets.Text(value='(s)', - description='Post text'), - color=widgets.RadioButtons(options=['red', 'blue', 'white', 'black', 'yellow'], - value='red', - description='Text Color')) + return {"text_x": text_x, "text_y": text_y, "pre_text": pre_text, "post_text": post_text, "color": color} + + self.preview = interact( + display_selected_image, + index=widgets.IntSlider(min=0, max=len(self.list_files), continuous_update=False), + text_x=widgets.IntSlider( + min=0, max=width, value=text_x, description="Text x_offset", continuous_update=False + ), + text_y=widgets.IntSlider( + min=0, max=height, value=text_y, description="Text y_offset", continuous_upadte=False + ), + pre_text=widgets.Text(value="Time Offset", description="Pre text"), + post_text=widgets.Text(value="(s)", description="Post text"), + color=widgets.RadioButtons( + options=["red", "blue", "white", "black", "yellow"], value="red", description="Text Color" + ), + ) def select_export_folder(self): - self.output_folder_ui = ipywe.fileselector.FileSelectorPanel(instruction='Select output Folder ...', - start_dir=self.working_dir, - type='directory') + self.output_folder_ui = ipywe.fileselector.FileSelectorPanel( + instruction="Select output Folder ...", start_dir=self.working_dir, type="directory" + ) self.output_folder_ui.show() def sort_files_using_time_stamp(self): @@ -232,17 +216,15 @@ def export(self): try: output_folder = self.output_folder_ui.selected except: - display(HTML('Make sure you selected an export folder!')) + display(HTML("Make sure you selected an export folder!")) return input_folder_basename = os.path.basename(os.path.abspath(self.image_folder)) - output_file = os.path.abspath(os.path.join(output_folder, input_folder_basename + - '_timestamp_infos.txt')) + output_file = os.path.abspath(os.path.join(output_folder, input_folder_basename + "_timestamp_infos.txt")) if os.path.exists(output_file): os.remove(output_file) - - metadata = '#filename, timestamp(s), timestamp_user_format, timeoffset(s)\n' + metadata = "#filename, timestamp(s), timestamp_user_format, timeoffset(s)\n" text = metadata file_list = self.list_files @@ -251,11 +233,9 @@ def export(self): time_offset = self.list_time_offset for _index, _file in enumerate(file_list): - text += "{}, {}, {}, {}\n".format(os.path.abspath(_file), time_stamp[_index], - time_stamp_user_format[_index], - time_offset[_index]) + text += f"{os.path.abspath(_file)}, {time_stamp[_index]}, {time_stamp_user_format[_index]}, {time_offset[_index]}\n" - with open(output_file, 'w') as f: + with open(output_file, "w") as f: f.write(text) - display(HTML('File Created: ' + os.path.basename(output_file) + '')) + display(HTML("File Created: " + os.path.basename(output_file) + "")) diff --git a/notebooks/__code/display_imaging_resonance_sample_definition.py b/notebooks/__code/display_imaging_resonance_sample_definition.py index bf928902..b3a96337 100755 --- a/notebooks/__code/display_imaging_resonance_sample_definition.py +++ b/notebooks/__code/display_imaging_resonance_sample_definition.py @@ -1,82 +1,78 @@ import numpy as np -import os -import numbers try: - from PyQt4.QtGui import QFileDialog from PyQt4 import QtCore, QtGui - from PyQt4.QtGui import QMainWindow + from PyQt4.QtGui import QFileDialog, QMainWindow except ImportError: - from PyQt5.QtWidgets import QFileDialog from PyQt5 import QtCore, QtGui - from PyQt5.QtWidgets import QApplication, QMainWindow + from PyQt5.QtWidgets import QMainWindow -from __code.ui_resonance_imaging_layers_input import Ui_MainWindow as UiSampleMainWindow from ImagingReso.resonance import Resonance +from __code.ui_resonance_imaging_layers_input import Ui_MainWindow as UiSampleMainWindow + class SampleWindow(QMainWindow): - debugging = False - stack = {} # used to initialize ImagingReso - + stack = {} # used to initialize ImagingReso + def __init__(self, parent=None, debugging=False): QMainWindow.__init__(self, parent=parent) self.ui = UiSampleMainWindow() self.ui.setupUi(self) self.setWindowTitle("Define Sample Layers") - + self.debugging = debugging - + self.initialize_ui() self.__debugging() - + def __debugging(self): - '''Fill the table for debugging only!''' + """Fill the table for debugging only!""" if not self.debugging: return - - _debug_table = [['Gadnium','Gd','1','0.075','']] - for _row_index,_row in enumerate(_debug_table): + _debug_table = [["Gadnium", "Gd", "1", "0.075", ""]] + + for _row_index, _row in enumerate(_debug_table): for _col_index, _entry in enumerate(_row): _item = QtGui.QTableWidgetItem(_entry) self.ui.layer_table.setItem(_row_index, _col_index, _item) - + def initialize_ui(self): self.ui.check_groupBox.setVisible(False) - + _column_width = [300, 100, 100, 100, 100] for _index, _width in enumerate(_column_width): self.ui.layer_table.setColumnWidth(_index, _width) self.ui.example_table.setColumnWidth(_index, _width) - + _column_width = [80, 90, 90, 100] for _index, _width in enumerate(_column_width): self.ui.element_table.setColumnWidth(_index, _width) - + def validate_table_input_clicked(self): # block element table signal self.ui.element_table.blockSignals(True) # disable top part (no more changes allowed) self.ui.layer_groupBox.setEnabled(False) - + # collect table input nbr_row = self.ui.layer_table.rowCount() _table_dictionary = {} for _row_index in range(nbr_row): _dict = {} _layer_name = self.get_table_item(_row_index, 0) - if _layer_name == '': + if _layer_name == "": break - _dict['elements'] = self.format_string_to_array(string=self.get_table_item(_row_index, 1), data_type='str') - _dict['stoichiometric_ratio'] = self.format_string_to_array(string=self.get_table_item(_row_index, 2), data_type='float') - _dict['thickness'] = {'value': float(self.get_table_item(_row_index, 3)), - 'units': 'mm'} + _dict["elements"] = self.format_string_to_array(string=self.get_table_item(_row_index, 1), data_type="str") + _dict["stoichiometric_ratio"] = self.format_string_to_array( + string=self.get_table_item(_row_index, 2), data_type="float" + ) + _dict["thickness"] = {"value": float(self.get_table_item(_row_index, 3)), "units": "mm"} if self.get_table_item(_row_index, 4): - _dict['density'] = {'value': float(self.get_table_item(_row_index, 4)), - 'units': 'g/cm3'} + _dict["density"] = {"value": float(self.get_table_item(_row_index, 4)), "units": "g/cm3"} _table_dictionary[_layer_name] = _dict self.stack = _table_dictionary @@ -86,28 +82,28 @@ def validate_table_input_clicked(self): o_reso = Resonance(stack=self.stack, energy_min=E_min, energy_max=E_max, energy_step=delta_E) self.o_reso = o_reso - + self.fill_check_groupBox() - self.ui.check_groupBox.setVisible(True) + self.ui.check_groupBox.setVisible(True) self.ui.element_table.blockSignals(False) self.ui.ok_button.setEnabled(True) - - def format_string_to_array(self, string='', data_type='str'): - _parsed_string = string.split(',') + + def format_string_to_array(self, string="", data_type="str"): + _parsed_string = string.split(",") result = [] for _entry in _parsed_string: - if data_type == 'str': + if data_type == "str": result.append(str(_entry)) - elif data_type == 'float': + elif data_type == "float": result.append(float(_entry)) else: raise ValueError("data_type not supported!") return result - + def get_table_item(self, row, col): _item = self.ui.layer_table.item(row, col) if _item is None: - return '' + return "" _text = _item.text().strip() return _text @@ -117,40 +113,40 @@ def fill_check_groupBox(self): layers_name = list(_stack.keys()) self.ui.layer_name_combobox.clear() self.ui.layer_name_combobox.addItems(layers_name) - + def element_combobox_clicked(self, element_selected): - if element_selected == '': + if element_selected == "": return - + self.ui.element_table.blockSignals(True) layer_selected = self.ui.layer_name_combobox.currentText() - if layer_selected == '': + if layer_selected == "": return - if element_selected == '': + if element_selected == "": return - + _entry = self.stack[layer_selected][element_selected] - number_of_atoms = float(self.stack[layer_selected]['atoms_per_cm3'][element_selected]) - self.ui.element_number_of_atoms.setText("{:6.3e}".format(number_of_atoms)) - density = str(self.stack[layer_selected][element_selected]['density']['value']) - self.ui.element_density.setText("{:6.3e}".format(float(density))) - molar_mass = str(self.stack[layer_selected][element_selected]['molar_mass']['value']) - self.ui.element_molar_mass.setText("{:6.3e}".format(float(molar_mass))) - + number_of_atoms = float(self.stack[layer_selected]["atoms_per_cm3"][element_selected]) + self.ui.element_number_of_atoms.setText(f"{number_of_atoms:6.3e}") + density = str(self.stack[layer_selected][element_selected]["density"]["value"]) + self.ui.element_density.setText(f"{float(density):6.3e}") + molar_mass = str(self.stack[layer_selected][element_selected]["molar_mass"]["value"]) + self.ui.element_molar_mass.setText(f"{float(molar_mass):6.3e}") + self.fill_isotopes_table(element_selected) self.ui.element_table.blockSignals(False) - - def fill_isotopes_table(self, element_selected=''): + + def fill_isotopes_table(self, element_selected=""): self.clear_isotopes_table() layer_selected = self.ui.layer_name_combobox.currentText() element_selected = self.ui.element_name_combobox.currentText() - _entry = self.stack[layer_selected][element_selected]['isotopes'] - list_iso = _entry['list'] - list_density = _entry['density']['value'] - list_iso_ratio = _entry['isotopic_ratio'] - list_mass = _entry['mass']['value'] - + _entry = self.stack[layer_selected][element_selected]["isotopes"] + list_iso = _entry["list"] + list_density = _entry["density"]["value"] + list_iso_ratio = _entry["isotopic_ratio"] + list_mass = _entry["mass"]["value"] + nbr_iso = len(list_iso) for _row in range(nbr_iso): self.ui.element_table.insertRow(_row) @@ -158,28 +154,28 @@ def fill_isotopes_table(self, element_selected=''): # iso name _item = QtGui.QTableWidgetItem(list_iso[_row]) _item.setFlags(QtCore.Qt.NoItemFlags) - _color = QtGui.QColor(200,200,200) + _color = QtGui.QColor(200, 200, 200) _item.setBackgroundColor(_color) self.ui.element_table.setItem(_row, 0, _item) # density - _item = QtGui.QTableWidgetItem("{:6.3e}".format(list_density[_row])) + _item = QtGui.QTableWidgetItem(f"{list_density[_row]:6.3e}") _item.setBackgroundColor(_color) _item.setFlags(QtCore.Qt.NoItemFlags) self.ui.element_table.setItem(_row, 1, _item) - + # iso. ratio - _item = QtGui.QTableWidgetItem("{:6.3e}".format(list_iso_ratio[_row])) + _item = QtGui.QTableWidgetItem(f"{list_iso_ratio[_row]:6.3e}") self.ui.element_table.setItem(_row, 2, _item) - + # molar mass - _item = QtGui.QTableWidgetItem("{:6.3e}".format(list_mass[_row])) + _item = QtGui.QTableWidgetItem(f"{list_mass[_row]:6.3e}") _item.setBackgroundColor(_color) _item.setFlags(QtCore.Qt.NoItemFlags) self.ui.element_table.setItem(_row, 3, _item) self.calculate_sum_iso_ratio() - + def clear_isotopes_table(self): nbr_row = self.ui.element_table.rowCount() for _row in range(nbr_row): @@ -193,35 +189,35 @@ def calculate_sum_iso_ratio(self): try: _iso_ratio = float(self.ui.element_table.item(_row, 2).text()) except: - _iso_ratio = np.NaN + _iso_ratio = np.nan _item = QtGui.QTableWidgetItem("NaN") self.ui.element_table.setItem(_row, 2, _item) total_iso_ratio += _iso_ratio - self.ui.total_iso_ratio.setText("{:.2f}".format(total_iso_ratio)) + self.ui.total_iso_ratio.setText(f"{total_iso_ratio:.2f}") # will use this flag to allow new isotopic ratio entries if np.isnan(total_iso_ratio): return False return True - + def layer_combobox_clicked(self, layer_selected): - if layer_selected == '': + if layer_selected == "": return - list_elements = self.stack[layer_selected]['elements'] + list_elements = self.stack[layer_selected]["elements"] # block element table signal self.ui.element_table.blockSignals(True) - + # fill list of elements for this layer self.ui.element_name_combobox.clear() self.ui.element_name_combobox.addItems(list_elements) - + # fill info for this layer _layer = self.stack[layer_selected] - thickness = str(_layer['thickness']['value']) + thickness = str(_layer["thickness"]["value"]) self.ui.layer_thickness.setText(thickness) - density = str(_layer['density']['value']) + density = str(_layer["density"]["value"]) self.ui.layer_density.setText(density) - + self.ui.element_table.blockSignals(False) def element_table_edited(self, row, col): @@ -229,29 +225,27 @@ def element_table_edited(self, row, col): calculation_status = self.calculate_sum_iso_ratio() if calculation_status: self.define_new_isotopic_ratio() - + def define_new_isotopic_ratio(self): layer_selected = self.ui.layer_name_combobox.currentText() element_selected = self.ui.element_name_combobox.currentText() - _entry = self.stack[layer_selected][element_selected]['isotopes'] - list_isotopes = _entry['list'] - + _entry = self.stack[layer_selected][element_selected]["isotopes"] + list_isotopes = _entry["list"] nbr_row = self.ui.element_table.rowCount() list_isotopic_ratio = [] for _row in range(nbr_row): _iso_ratio = float(self.ui.element_table.item(_row, 2).text()) list_isotopic_ratio.append(_iso_ratio) - - self.o_reso.set_isotopic_ratio(compound=layer_selected, - element=element_selected, - list_ratio=list_isotopic_ratio) - + + self.o_reso.set_isotopic_ratio( + compound=layer_selected, element=element_selected, list_ratio=list_isotopic_ratio + ) + self.layer_combobox_clicked(layer_selected) self.element_combobox_clicked(element_selected) - + def ok_button_clicked(self): -# global global_o_reso -# global_o_reso = self.o_reso + # global global_o_reso + # global_o_reso = self.o_reso self.close() - diff --git a/notebooks/__code/display_integrated_stack_of_images.py b/notebooks/__code/display_integrated_stack_of_images.py index 70568bf6..087e34eb 100755 --- a/notebooks/__code/display_integrated_stack_of_images.py +++ b/notebooks/__code/display_integrated_stack_of_images.py @@ -1,32 +1,31 @@ -import numpy as np import matplotlib.pyplot as plt - +import numpy as np from NeuNorm.normalization import Normalization -from __code import file_handler -from __code import ipywe -class DisplayIntegratedStackOfImages(object): +from __code import file_handler, ipywe - def __init__(self, working_dir=''): + +class DisplayIntegratedStackOfImages: + def __init__(self, working_dir=""): self.working_dir = working_dir def select_input_folder(self): - self.input_folder_ui = ipywe.fileselector.FileSelectorPanel(instruction='Select Input Folder', - type='directory', - start_dir=self.working_dir, - multiple=False) + self.input_folder_ui = ipywe.fileselector.FileSelectorPanel( + instruction="Select Input Folder", type="directory", start_dir=self.working_dir, multiple=False + ) self.input_folder_ui.show() def __retrieve_files(self): input_folder = self.input_folder_ui.selected list_files = file_handler.retrieve_list_of_most_dominant_extension_from_folder(folder=input_folder)[0] - self.list_files = file_handler.remove_file_from_list(list_files=list_files, - regular_expression='.*_SummedImg.fits') + self.list_files = file_handler.remove_file_from_list( + list_files=list_files, regular_expression=".*_SummedImg.fits" + ) def __load(self): o_norm = Normalization() o_norm.load(file=self.list_files, notebook=True) - self.stack = o_norm.data['sample']['data'] + self.stack = o_norm.data["sample"]["data"] def __integrate(self): self.integrate_stack = np.array(self.stack).sum(axis=0) @@ -41,4 +40,3 @@ def display_integrated_stack(self): self.__load() self.__integrate() self.__display() - diff --git a/notebooks/__code/dual_energy/dual_energy.py b/notebooks/__code/dual_energy/dual_energy.py index 1426afc9..3ed0a6e8 100755 --- a/notebooks/__code/dual_energy/dual_energy.py +++ b/notebooks/__code/dual_energy/dual_energy.py @@ -1,50 +1,37 @@ -from IPython.display import HTML import os import random + import numpy as np -from IPython.display import display import pyqtgraph as pg -from qtpy.QtWidgets import QMainWindow -from qtpy import QtGui - +from IPython.display import HTML, display from neutronbraggedge.experiment_handler import * +from qtpy import QtGui +from qtpy.QtWidgets import QMainWindow -from __code.bragg_edge.bragg_edge_normalization import BraggEdge as BraggEdgeParent from __code import load_ui - +from __code.bragg_edge.bragg_edge_normalization import BraggEdge as BraggEdgeParent +from __code.bragg_edge.bragg_edge_selection_tab import BraggEdgeSelectionTab +from __code.bragg_edge.export_handler import ExportHandler +from __code.bragg_edge.import_handler import ImportHandler +from __code.dual_energy.get import Get from __code.dual_energy.interface_initialization import Initialization from __code.dual_energy.selection_tab import SelectionTab -from __code.dual_energy.get import Get - -from __code.bragg_edge.bragg_edge_peak_fitting_gui_utility import GuiUtility from __code.utilities import find_nearest_index -from __code.table_handler import TableHandler -from __code.bragg_edge.kropff_fitting_job_handler import KropffFittingJobHandler -from __code.bragg_edge.march_dollase_fitting_job_handler import MarchDollaseFittingJobHandler -from __code.bragg_edge.kropff import Kropff -from __code.bragg_edge.march_dollase import MarchDollase -from __code.bragg_edge.export_handler import ExportHandler -from __code.bragg_edge.import_handler import ImportHandler -from __code.bragg_edge.bragg_edge_selection_tab import BraggEdgeSelectionTab -from __code.bragg_edge.peak_fitting_initialization import PeakFittingInitialization -from __code._utilities.array import exclude_y_value_when_error_is_nan DEBUGGING = True class DualEnergy(BraggEdgeParent): - def load_ob(self, folder_selected): - self.load_files(data_type='ob', folder=folder_selected) + self.load_files(data_type="ob", folder=folder_selected) self.check_data_array_sizes() class Interface(QMainWindow): - live_image = None # image displayed on the left (integrated sample images) - profile_selection_range = [5, 20] # in index units, the min and max ROI ranges in the right plot (profile plot) - profile_selection_range_ui = None # ROI ui of profile + profile_selection_range = [5, 20] # in index units, the min and max ROI ranges in the right plot (profile plot) + profile_selection_range_ui = None # ROI ui of profile # # relative index of the bragg peak only part (kropff and March-Dollase) # bragg_peak_selection_range = [np.NaN, np.NaN] @@ -54,38 +41,28 @@ class Interface(QMainWindow): lambda_array = None # bin number 1 and 2 that gives the biggest difference related to 1 - optimum_bin_ratio = {'bin_number_1': np.NaN, - 'bin_number_2': np.NaN} + optimum_bin_ratio = {"bin_number_1": np.nan, "bin_number_2": np.nan} - bin_size_value = {'index': 50, - 'tof': np.NaN, - 'lambda': np.NaN} + bin_size_value = {"index": 50, "tof": np.nan, "lambda": np.nan} selection_roi_rgb = (62, 13, 244) - roi_settings = {'color': QtGui.QColor(selection_roi_rgb[0], - selection_roi_rgb[1], - selection_roi_rgb[2]), - 'border_width': 0.01, - 'position': [10, 10]} - roi_selection_dict = {'x0': np.NaN, - 'y0': np.NaN, - 'x1': np.NaN, - 'y1': np.NaN} + roi_settings = { + "color": QtGui.QColor(selection_roi_rgb[0], selection_roi_rgb[1], selection_roi_rgb[2]), + "border_width": 0.01, + "position": [10, 10], + } + roi_selection_dict = {"x0": np.nan, "y0": np.nan, "x1": np.nan, "y1": np.nan} bin_roi_rgb = (50, 50, 50, 200) - bin_line_settings = {'color': QtGui.QColor(bin_roi_rgb[0], - bin_roi_rgb[1], - bin_roi_rgb[2], - bin_roi_rgb[3]), - 'width': 0.005} - - list_bin_positions = {'index': [], - 'tof': [], - 'lambda': []} + bin_line_settings = { + "color": QtGui.QColor(bin_roi_rgb[0], bin_roi_rgb[1], bin_roi_rgb[2], bin_roi_rgb[3]), + "width": 0.005, + } + + list_bin_positions = {"index": [], "tof": [], "lambda": []} list_bin_ui = [] - previous_roi_selection = {'width': 50, - 'height': 50} + previous_roi_selection = {"width": 50, "height": 50} # shrinking_roi_rgb = (13, 214, 244) # shrinking_roi_settings = {'color': QtGui.QColor(shrinking_roi_rgb[0], # shrinking_roi_rgb[1], @@ -104,12 +81,8 @@ class Interface(QMainWindow): # image_size = {'width': None, # 'height': None} # roi_id = None - xaxis_label = {'index': "File index", - 'tof': u"TOF (\u00B5s)", - 'lambda': u"\u03BB (\u212B)"} - xaxis_units = {'index': "File #", - 'tof': u"\u00B5s", - 'lambda': u"\u212B"} + xaxis_label = {"index": "File index", "tof": "TOF (\u00b5s)", "lambda": "\u03bb (\u212b)"} + xaxis_units = {"index": "File #", "tof": "\u00b5s", "lambda": "\u212b"} # fitting_rois = {'kropff': {'step1': None, # 'step2': None, @@ -132,12 +105,11 @@ class Interface(QMainWindow): # roi_dimension_from_config_file = [None, None, None, None, None, None] def __init__(self, parent=None, working_dir="", o_dual=None, spectra_file=None): - if o_dual: self.o_norm = o_dual.o_norm self.working_dir = self.retrieve_working_dir() self.o_dual = o_dual - self.index_array = np.arange(len(self.o_norm.data['sample']['file_name'])) + self.index_array = np.arange(len(self.o_norm.data["sample"]["file_name"])) else: self.working_dir = working_dir # show_selection_tab = False @@ -146,13 +118,17 @@ def __init__(self, parent=None, working_dir="", o_dual=None, spectra_file=None): if spectra_file: self.spectra_file = spectra_file - display(HTML('Check UI that popped up \ - (maybe hidden behind this browser!)')) + display( + HTML( + 'Check UI that popped up \ + (maybe hidden behind this browser!)' + ) + ) super(Interface, self).__init__(parent) - ui_full_path = os.path.join(os.path.dirname(os.path.dirname(os.path.dirname(__file__))), - os.path.join('ui', - 'ui_dual_energy.ui')) + ui_full_path = os.path.join( + os.path.dirname(os.path.dirname(os.path.dirname(__file__))), os.path.join("ui", "ui_dual_energy.ui") + ) self.ui = load_ui(ui_full_path, baseinstance=self) self.setWindowTitle("Dual Energy Analysis") @@ -180,7 +156,7 @@ def __init__(self, parent=None, working_dir="", o_dual=None, spectra_file=None): def retrieve_working_dir(self): o_norm = self.o_norm - file_path = o_norm.data['sample']['file_name'][0] + file_path = o_norm.data["sample"]["file_name"][0] return os.path.dirname(file_path) def load_time_spectra(self): @@ -205,18 +181,20 @@ def update_time_spectra(self): self.ui.statusbar.setStyleSheet("color: red") return - _exp = Experiment(tof=self.tof_array_s, - distance_source_detector_m=distance_source_detector_m, - detector_offset_micros=detector_offset_micros) + _exp = Experiment( + tof=self.tof_array_s, + distance_source_detector_m=distance_source_detector_m, + detector_offset_micros=detector_offset_micros, + ) self.lambda_array = _exp.lambda_array * 1e10 # to be in Angstroms def get_live_image(self): if DEBUGGING: - final_array = self.o_norm.data['sample']['data'] + final_array = self.o_norm.data["sample"]["data"] else: nbr_data_to_use = int(self.number_of_data_to_use_ui.value) - _data = self.o_norm.data['sample']['data'] + _data = self.o_norm.data["sample"]["data"] nbr_images = len(_data) list_of_indexes_to_keep = random.sample(list(range(nbr_images)), nbr_data_to_use) @@ -232,21 +210,21 @@ def get_live_image(self): def new_dimensions_within_error_range(self): """this method is used to check if the ROI sizes changed. We need an error uncertainties as sometimes the region varies by + or - 1 pixel when moving it around""" - error = 1 # # of pixel + error = 1 # # of pixel roi_id = self.roi_id - region = roi_id.getArraySlice(self.final_image, - self.ui.image_view.imageItem) + region = roi_id.getArraySlice(self.final_image, self.ui.image_view.imageItem) x0 = region[0][0].start x1 = region[0][0].stop y0 = region[0][1].start y1 = region[0][1].stop - new_width = x1-x0-1 - new_height = y1-y0-1 + new_width = x1 - x0 - 1 + new_height = y1 - y0 - 1 - if ((np.abs(new_width - int(self.ui.roi_width.text())) <= error) and - (np.abs(new_height) - int(self.ui.roi_height.text())) <= error): + if (np.abs(new_width - int(self.ui.roi_width.text())) <= error) and ( + np.abs(new_height) - int(self.ui.roi_height.text()) + ) <= error: return True return False @@ -262,19 +240,19 @@ def bragg_edge_range_changed(self): self.bragg_edge_range = [left_index, right_index] def reset_profile_of_bin_size_slider(self): - max_value = np.min([int(str(self.ui.profile_of_bin_size_width.text())), - int(str(self.ui.profile_of_bin_size_height.text()))]) + max_value = np.min( + [int(str(self.ui.profile_of_bin_size_width.text())), int(str(self.ui.profile_of_bin_size_height.text()))] + ) self.ui.profile_of_bin_size_slider.setMaximum(max_value) self.ui.profile_of_bin_size_slider.setValue(max_value) def selection_roi_slider_changed(self, new_value): if self.ui.square_roi_radiobutton.isChecked(): - mode = 'square' + mode = "square" else: - mode = 'free' + mode = "free" o_selection = BraggEdgeSelectionTab(parent=self) - o_selection.update_selection(new_value=new_value, - mode=mode) + o_selection.update_selection(new_value=new_value, mode=mode) def update_profile_of_bin_size_infos(self): _width = int(self.ui.roi_width.text()) @@ -285,10 +263,10 @@ def update_profile_of_bin_size_infos(self): def initialize_default_peak_regions(self): [left_range, right_range] = self.bragg_edge_range - xaxis_dict = self.fitting_input_dictionary['xaxis'] - xaxis_index, _ = xaxis_dict['index'] + xaxis_dict = self.fitting_input_dictionary["xaxis"] + xaxis_index, _ = xaxis_dict["index"] [left_xaxis_index, right_xaxis_index] = self.bragg_edge_range - xaxis = xaxis_index[left_xaxis_index: right_xaxis_index] + xaxis = xaxis_index[left_xaxis_index:right_xaxis_index] left_index = find_nearest_index(array=xaxis, value=left_range) right_index = find_nearest_index(array=xaxis, value=right_range) @@ -301,8 +279,8 @@ def initialize_default_peak_regions(self): def profile_of_bin_size_slider_changed_after_import(self, new_value): dict_rois_imported = self.dict_rois_imported - new_width = dict_rois_imported[new_value]['width'] - new_height = dict_rois_imported[new_value]['height'] + new_width = dict_rois_imported[new_value]["width"] + new_height = dict_rois_imported[new_value]["height"] self.ui.profile_of_bin_size_height.setText(new_height) self.ui.profile_of_bin_size_width.setText(new_width) @@ -310,9 +288,9 @@ def profile_of_bin_size_slider_changed_after_import(self, new_value): o_selection.update_selection_plot() self.update_vertical_line_in_profile_plot() - self.update_kropff_fit_table_graph(fit_region='high') - self.update_kropff_fit_table_graph(fit_region='low') - self.update_kropff_fit_table_graph(fit_region='bragg_peak') + self.update_kropff_fit_table_graph(fit_region="high") + self.update_kropff_fit_table_graph(fit_region="low") + self.update_kropff_fit_table_graph(fit_region="bragg_peak") def profile_of_bin_size_slider_changed(self, new_value): o_selection = BraggEdgeSelectionTab(parent=self) @@ -325,37 +303,32 @@ def update_roi_defined_by_profile_of_bin_size_slider(self): def add_profile_to_dict_of_all_regions(self, dict_regions=None): for _key in dict_regions.keys(): current_region = dict_regions[_key] - x0 = current_region['x0'] - y0 = current_region['y0'] - width = current_region['width'] - height = current_region['height'] + x0 = current_region["x0"] + y0 = current_region["y0"] + width = current_region["width"] + height = current_region["height"] o_get = Get(parent=self) - profile = o_get.profile_of_roi(x0=x0, y0=y0, - x1=x0 + width, - y1=y0 + height) - current_region['profile'] = profile + profile = o_get.profile_of_roi(x0=x0, y0=y0, x1=x0 + width, y1=y0 + height) + current_region["profile"] = profile def update_vertical_line_in_profile_plot(self): o_get = Get(parent=self) x_axis, x_axis_label = o_get.x_axis() - bragg_edge_range = [x_axis[self.bragg_edge_range[0]], - x_axis[self.bragg_edge_range[1]]] + bragg_edge_range = [x_axis[self.bragg_edge_range[0]], x_axis[self.bragg_edge_range[1]]] if self.bragg_edge_range_ui: self.ui.profile.removeItem(self.bragg_edge_range_ui) - self.bragg_edge_range_ui = pg.LinearRegionItem(values=bragg_edge_range, - orientation=None, - brush=None, - movable=True, - bounds=None) + self.bragg_edge_range_ui = pg.LinearRegionItem( + values=bragg_edge_range, orientation=None, brush=None, movable=True, bounds=None + ) self.bragg_edge_range_ui.sigRegionChanged.connect(self.bragg_edge_range_changed) self.bragg_edge_range_ui.setZValue(-10) self.ui.profile.addItem(self.bragg_edge_range_ui) ### clean implementation after this def profile_selection_range_changed(self): - """this method converts the ROI left and right position in current x-axis units to index units """ + """this method converts the ROI left and right position in current x-axis units to index units""" [left_range, right_range] = list(self.profile_selection_range_ui.getRegion()) o_get = Get(parent=self) x_axis, _ = o_get.x_axis() diff --git a/notebooks/__code/dual_energy/get.py b/notebooks/__code/dual_energy/get.py index 84feaf80..7459d5d9 100755 --- a/notebooks/__code/dual_energy/get.py +++ b/notebooks/__code/dual_energy/get.py @@ -1,55 +1,52 @@ -import numpy as np - from __code.bragg_edge.get import Get as BraggEdgeGet -from __code.bragg_edge.bragg_edge_peak_fitting_gui_utility import GuiUtility class Get(BraggEdgeGet): - - def __init__(self, parent=None): - self.parent = parent - - self.x_axis_choice_ui = {'index': self.parent.ui.selection_index_radiobutton, - 'tof' : self.parent.ui.selection_tof_radiobutton, - 'lambda': self.parent.ui.selection_lambda_radiobutton} - - def x_axis(self): - list_ui = self.x_axis_choice_ui - if list_ui['index'].isChecked(): - return self.specified_x_axis(xaxis='index') - elif list_ui['tof'].isChecked(): - return self.specified_x_axis(xaxis='tof') - else: - return self.specified_x_axis(xaxis='lambda') - - def x_axis_units(self): - list_ui = self.x_axis_choice_ui - for _key in list_ui.keys(): - if list_ui[_key].isChecked(): - return self.parent.xaxis_units[_key] - return "" - - def x_axis_name_checked(self): - list_ui = self.x_axis_choice_ui - for _key in list_ui.keys(): - if list_ui[_key].isChecked(): - return _key - return "" - - def selection_roi_dimension(self): - roi_id = self.parent.roi_id - - if roi_id: - region = roi_id.getArraySlice(self.parent.live_image, - self.parent.ui.image_view.imageItem) - x0 = region[0][0].start - x1 = region[0][0].stop - y0 = region[0][1].start - y1 = region[0][1].stop - width = int(x1 - x0) - height = int(y1 - y0) - - else: - x0, y0, x1, y1, width, height = self.parent.roi_dimension_from_config_file - - return [x0, y0, x1, y1, width, height] + def __init__(self, parent=None): + self.parent = parent + + self.x_axis_choice_ui = { + "index": self.parent.ui.selection_index_radiobutton, + "tof": self.parent.ui.selection_tof_radiobutton, + "lambda": self.parent.ui.selection_lambda_radiobutton, + } + + def x_axis(self): + list_ui = self.x_axis_choice_ui + if list_ui["index"].isChecked(): + return self.specified_x_axis(xaxis="index") + elif list_ui["tof"].isChecked(): + return self.specified_x_axis(xaxis="tof") + else: + return self.specified_x_axis(xaxis="lambda") + + def x_axis_units(self): + list_ui = self.x_axis_choice_ui + for _key in list_ui.keys(): + if list_ui[_key].isChecked(): + return self.parent.xaxis_units[_key] + return "" + + def x_axis_name_checked(self): + list_ui = self.x_axis_choice_ui + for _key in list_ui.keys(): + if list_ui[_key].isChecked(): + return _key + return "" + + def selection_roi_dimension(self): + roi_id = self.parent.roi_id + + if roi_id: + region = roi_id.getArraySlice(self.parent.live_image, self.parent.ui.image_view.imageItem) + x0 = region[0][0].start + x1 = region[0][0].stop + y0 = region[0][1].start + y1 = region[0][1].stop + width = int(x1 - x0) + height = int(y1 - y0) + + else: + x0, y0, x1, y1, width, height = self.parent.roi_dimension_from_config_file + + return [x0, y0, x1, y1, width, height] diff --git a/notebooks/__code/dual_energy/interface_initialization.py b/notebooks/__code/dual_energy/interface_initialization.py index e23f7ac4..1811b9e1 100755 --- a/notebooks/__code/dual_energy/interface_initialization.py +++ b/notebooks/__code/dual_energy/interface_initialization.py @@ -1,27 +1,23 @@ -import numpy as np import matplotlib -import os -import copy +import numpy as np -matplotlib.use('Qt5Agg') +matplotlib.use("Qt5Agg") +import pyqtgraph as pg from matplotlib.backends.backend_qt5agg import NavigationToolbar2QT as NavigationToolbar - -from qtpy.QtWidgets import QProgressBar, QVBoxLayout, QAbstractItemView from qtpy import QtGui -import pyqtgraph as pg +from qtpy.QtWidgets import QAbstractItemView, QProgressBar, QVBoxLayout -from __code.table_handler import TableHandler from __code.bragg_edge.mplcanvas import MplCanvas from __code.dual_energy.my_table_widget import MyTableWidget -from __code.bragg_edge.bragg_edge_peak_fitting_gui_utility import GuiUtility +from __code.table_handler import TableHandler class Initialization: distance_detector_sample = 1300 # m detector_offset = 6500 # micros - def __init__(self, parent=None, tab='all'): + def __init__(self, parent=None, tab="all"): self.parent = parent self.block_signals(True) @@ -57,10 +53,10 @@ def pyqtgraph_image_ratio_view(self): def normalize_images_by_white_beam(self): white_beam_ob = self.parent.o_bragg.white_beam_ob - list_data = self.parent.o_norm.data['sample']['data'] + list_data = self.parent.o_norm.data["sample"]["data"] for _index_data, _data in enumerate(list_data): normalized_data = _data / white_beam_ob - self.parent.o_norm.data['sample']['data'][_index_data] = normalized_data + self.parent.o_norm.data["sample"]["data"][_index_data] = normalized_data def block_signals(self, flag): list_ui = [] @@ -70,8 +66,8 @@ def block_signals(self, flag): def save_image_size(self): _image = self.parent.get_live_image() [height, width] = np.shape(_image) - self.parent.image_size['width'] = width - self.parent.image_size['height'] = height + self.parent.image_size["width"] = width + self.parent.image_size["height"] = height def statusbar(self): self.parent.eventProgress = QProgressBar(self.parent.ui.statusbar) @@ -121,36 +117,34 @@ def pyqtgraph_fitting(self): def labels(self): # labels - self.parent.ui.detector_offset_units.setText(u"\u03BCs") - self.parent.ui.selection_tof_radiobutton.setText(u"TOF (\u03BCs)") - self.parent.ui.selection_lambda_radiobutton.setText(u"\u03BB (\u212B)") + self.parent.ui.detector_offset_units.setText("\u03bcs") + self.parent.ui.selection_tof_radiobutton.setText("TOF (\u03bcs)") + self.parent.ui.selection_lambda_radiobutton.setText("\u03bb (\u212b)") def text_fields(self): self.parent.ui.distance_detector_sample.setText(str(self.distance_detector_sample)) self.parent.ui.detector_offset.setText(str(self.detector_offset)) - self.parent.ui.selection_bin_size_value.setText(str(self.parent.bin_size_value['index'])) + self.parent.ui.selection_bin_size_value.setText(str(self.parent.bin_size_value["index"])) def widgets(self): self.parent.ui.splitter.setSizes([500, 400]) self.parent.ui.splitter_2.setSizes([500, 400]) self.parent.ui.calculation_bin_table = MyTableWidget(parent=self.parent) - self.parent.ui.calculation_bin_table.cellClicked['int', 'int'].connect( - self.parent.calculation_table_cell_clicked) + self.parent.ui.calculation_bin_table.cellClicked["int", "int"].connect( + self.parent.calculation_table_cell_clicked + ) self.parent.ui.calculation_bin_table.setEditTriggers(QAbstractItemView.NoEditTriggers) self.parent.ui.verticalLayout_table.addWidget(self.parent.ui.calculation_bin_table) def roi_setup(self): - [x0, y0] = self.parent.roi_settings['position'] + [x0, y0] = self.parent.roi_settings["position"] self.parent.selection_x0y0 = [x0, y0] - width = self.parent.previous_roi_selection['width'] - height = self.parent.previous_roi_selection['height'] + width = self.parent.previous_roi_selection["width"] + height = self.parent.previous_roi_selection["height"] _pen = QtGui.QPen() - _pen.setColor(self.parent.roi_settings['color']) - _pen.setWidthF(self.parent.roi_settings['border_width']) - self.parent.roi_id = pg.ROI([x0, y0], - [width, width], - pen=_pen, - scaleSnap=True) + _pen.setColor(self.parent.roi_settings["color"]) + _pen.setWidthF(self.parent.roi_settings["border_width"]) + self.parent.roi_id = pg.ROI([x0, y0], [width, width], pen=_pen, scaleSnap=True) self.parent.roi_id.addScaleHandle([1, 1], [0, 0]) self.parent.roi_id.addScaleHandle([0, 0], [1, 1]) self.parent.ui.image_view.addItem(self.parent.roi_id) @@ -164,12 +158,18 @@ def display(self, image=None): def _clean_image(self, image): _result_inf = np.where(np.isinf(image)) - image[_result_inf] = np.NaN + image[_result_inf] = np.nan return image def table_header(self): - column_names = [u'#', u'From file index', u'To file index', - u'From TOF (\u03BCs)', u'To TOF (\u03BCs)', - u'From \u03BB (\u212B)', u'To \u03BB (\u212B)'] + column_names = [ + "#", + "From file index", + "To file index", + "From TOF (\u03bcs)", + "To TOF (\u03bcs)", + "From \u03bb (\u212b)", + "To \u03bb (\u212b)", + ] o_high = TableHandler(table_ui=self.parent.ui.summary_table) o_high.set_column_names(column_names=column_names) diff --git a/notebooks/__code/dual_energy/my_table_widget.py b/notebooks/__code/dual_energy/my_table_widget.py index b789ec9c..39462239 100755 --- a/notebooks/__code/dual_energy/my_table_widget.py +++ b/notebooks/__code/dual_energy/my_table_widget.py @@ -1,55 +1,53 @@ from qtpy.QtCore import QEvent, Qt -from qtpy.QtWidgets import QTableWidget, QWidget, QVBoxLayout, QApplication +from qtpy.QtWidgets import QTableWidget class MyTableWidget(QTableWidget): - - def __init__(self, parent=None): - self.parent = parent - QTableWidget.__init__(self) - self.keys = [Qt.Key_Left, - Qt.Key_Right] - - # We need this to allow navigating without editing - self.catch = False - - def focusInEvent(self, event): - self.catch = False - return QTableWidget.focusInEvent(self, event) - - def focusOutEvent(self, event): - self.catch = True - return QTableWidget.focusOutEvent(self, event) - - def event(self, event): - if self.catch and event.type() == QEvent.KeyRelease and event.key() in self.keys: - self._moveCursor(event.key()) - return QTableWidget.event(self, event) - - def keyPressEvent(self, event): - self._moveCursor(event.key()) - # if not self.catch: - # return QTableWidget.keyPressEvent(self, event) - - def _moveCursor(self, key): - row = self.currentRow() - col = self.currentColumn() - - prev_row = row - prev_col = col - - if key == Qt.Key_Left and col > 0: - col -= 1 - elif key == Qt.Key_Right and col < (self.columnCount()-1): - col += 1 - elif key == Qt.Key_Up and row > 0: - row -= 1 - elif key == Qt.Key_Down and row < (self.rowCount()-1): - row += 1 - else: - return - try: - self.setCurrentCell(row, col) - self.parent.calculation_table_cell_clicked(row, col) - except IndexError: - self.setCurrentCell(prev_row, prev_col) + def __init__(self, parent=None): + self.parent = parent + QTableWidget.__init__(self) + self.keys = [Qt.Key_Left, Qt.Key_Right] + + # We need this to allow navigating without editing + self.catch = False + + def focusInEvent(self, event): + self.catch = False + return QTableWidget.focusInEvent(self, event) + + def focusOutEvent(self, event): + self.catch = True + return QTableWidget.focusOutEvent(self, event) + + def event(self, event): + if self.catch and event.type() == QEvent.KeyRelease and event.key() in self.keys: + self._moveCursor(event.key()) + return QTableWidget.event(self, event) + + def keyPressEvent(self, event): + self._moveCursor(event.key()) + # if not self.catch: + # return QTableWidget.keyPressEvent(self, event) + + def _moveCursor(self, key): + row = self.currentRow() + col = self.currentColumn() + + prev_row = row + prev_col = col + + if key == Qt.Key_Left and col > 0: + col -= 1 + elif key == Qt.Key_Right and col < (self.columnCount() - 1): + col += 1 + elif key == Qt.Key_Up and row > 0: + row -= 1 + elif key == Qt.Key_Down and row < (self.rowCount() - 1): + row += 1 + else: + return + try: + self.setCurrentCell(row, col) + self.parent.calculation_table_cell_clicked(row, col) + except IndexError: + self.setCurrentCell(prev_row, prev_col) diff --git a/notebooks/__code/dual_energy/selection_tab.py b/notebooks/__code/dual_energy/selection_tab.py index fe05f43e..699d5319 100755 --- a/notebooks/__code/dual_energy/selection_tab.py +++ b/notebooks/__code/dual_energy/selection_tab.py @@ -1,17 +1,17 @@ -import numpy as np -import pyqtgraph as pg -from qtpy import QtGui +import os from collections import OrderedDict -from qtpy.QtWidgets import QFileDialog from pathlib import Path -import os +import numpy as np +import pyqtgraph as pg from NeuNorm.normalization import Normalization +from qtpy import QtGui +from qtpy.QtWidgets import QFileDialog from __code._utilities.array import check_size from __code.dual_energy.get import Get -from __code.utilities import find_nearest_index from __code.table_handler import TableHandler +from __code.utilities import find_nearest_index class SelectionTab: @@ -28,37 +28,34 @@ def update_selection_profile_plot(self): # large selection region [x0, y0, x1, y1, _, _] = o_get.selection_roi_dimension() profile = o_get.profile_of_roi(x0, y0, x1, y1) - self.parent.roi_selection_dict = {'x0': x0, - 'y0': y0, - 'x1': x1, - 'y1': y1} - x_axis, y_axis = check_size(x_axis=x_axis, - y_axis=profile) - self.parent.ui.profile.plot(x_axis, y_axis, pen=(self.parent.selection_roi_rgb[0], - self.parent.selection_roi_rgb[1], - self.parent.selection_roi_rgb[2])) + self.parent.roi_selection_dict = {"x0": x0, "y0": y0, "x1": x1, "y1": y1} + x_axis, y_axis = check_size(x_axis=x_axis, y_axis=profile) + self.parent.ui.profile.plot( + x_axis, + y_axis, + pen=(self.parent.selection_roi_rgb[0], self.parent.selection_roi_rgb[1], self.parent.selection_roi_rgb[2]), + ) self.parent.ui.profile.setLabel("bottom", x_axis_label) - self.parent.ui.profile.setLabel("left", 'Mean transmission') + self.parent.ui.profile.setLabel("left", "Mean transmission") # vertical line showing peak to fit - profile_selection_range = [x_axis[self.parent.profile_selection_range[0]], - x_axis[self.parent.profile_selection_range[1]]] - - self.parent.profile_selection_range_ui = pg.LinearRegionItem(values=profile_selection_range, - orientation=None, - brush=None, - movable=True, - bounds=None) + profile_selection_range = [ + x_axis[self.parent.profile_selection_range[0]], + x_axis[self.parent.profile_selection_range[1]], + ] + + self.parent.profile_selection_range_ui = pg.LinearRegionItem( + values=profile_selection_range, orientation=None, brush=None, movable=True, bounds=None + ) self.parent.profile_selection_range_ui.sigRegionChanged.connect(self.parent.profile_selection_range_changed) - self.parent.profile_selection_range_ui.sigRegionChangeFinished.connect( - self.parent.roi_moved) + self.parent.profile_selection_range_ui.sigRegionChangeFinished.connect(self.parent.roi_moved) self.parent.profile_selection_range_ui.setZValue(-10) self.parent.ui.profile.addItem(self.parent.profile_selection_range_ui) _pen = QtGui.QPen() - _pen.setColor(self.parent.bin_line_settings['color']) - _pen.setWidthF(self.parent.bin_line_settings['width']) + _pen.setColor(self.parent.bin_line_settings["color"]) + _pen.setWidthF(self.parent.bin_line_settings["width"]) if self.parent.list_bin_ui: for _bin_ui in self.parent.list_bin_ui: @@ -68,11 +65,9 @@ def update_selection_profile_plot(self): if self.parent.list_bin_positions: current_axis_name = o_get.x_axis_name_checked() for bin in self.parent.list_bin_positions[current_axis_name]: - if current_axis_name == 'tof': + if current_axis_name == "tof": bin *= 1e6 - _bin_ui = pg.InfiniteLine(bin, - movable=False, - pen=_pen) + _bin_ui = pg.InfiniteLine(bin, movable=False, pen=_pen) self.parent.ui.profile.addItem(_bin_ui) self.parent.list_bin_ui.append(bin) @@ -85,10 +80,10 @@ def update_bin_size_widgets(self): self.parent.ui.selection_bin_size_units.setText(x_axis_units) bin_size_value = self.parent.bin_size_value[current_axis_name] - if current_axis_name == 'tof': + if current_axis_name == "tof": bin_size_value *= 1e6 - elif current_axis_name == 'lambda': - bin_size_value = "{:2f}".format(bin_size_value) + elif current_axis_name == "lambda": + bin_size_value = f"{bin_size_value:2f}" self.parent.ui.selection_bin_size_value.setText(str(bin_size_value)) def calculate_bin_size_in_all_units(self): @@ -99,60 +94,52 @@ def calculate_bin_size_in_all_units(self): tof_array_s = self.parent.tof_array_s lambda_array = self.parent.lambda_array - if current_axis_name == 'index': + if current_axis_name == "index": current_value = int(current_value) bin_index = current_value bin_tof = tof_array_s[current_value] bin_lambda = lambda_array[current_value] - elif current_axis_name == 'tof': - bin_index = find_nearest_index(array=tof_array_s, - value=current_value * 1e-6) + elif current_axis_name == "tof": + bin_index = find_nearest_index(array=tof_array_s, value=current_value * 1e-6) bin_tof = current_value bin_lambda = lambda_array[bin_index] - elif current_axis_name == 'lambda': - bin_index = find_nearest_index(array=lambda_array, - value=current_value) + elif current_axis_name == "lambda": + bin_index = find_nearest_index(array=lambda_array, value=current_value) bin_tof = tof_array_s[bin_index] bin_lambda = current_value - self.parent.bin_size_value = {'index' : bin_index, - 'tof' : bin_tof, - 'lambda': bin_lambda} + self.parent.bin_size_value = {"index": bin_index, "tof": bin_tof, "lambda": bin_lambda} def make_list_of_bins(self): [from_index, to_index] = self.parent.profile_selection_range - list_bin = {'index' : [], - 'tof' : [], - 'lambda': []} + list_bin = {"index": [], "tof": [], "lambda": []} # index scale - index_bin_size = self.parent.bin_size_value['index'] + index_bin_size = self.parent.bin_size_value["index"] left_bin_value = from_index right_bin_value = from_index + index_bin_size - list_bin['index'] = [left_bin_value] + list_bin["index"] = [left_bin_value] while right_bin_value <= to_index: - list_bin['index'].append(right_bin_value) + list_bin["index"].append(right_bin_value) right_bin_value += index_bin_size # tof scale tof_array_s = self.parent.tof_array_s - list_bin['tof'] = tof_array_s[list_bin['index']] + list_bin["tof"] = tof_array_s[list_bin["index"]] # lambda scale lambda_array = self.parent.lambda_array - list_bin['lambda'] = lambda_array[list_bin['index']] + list_bin["lambda"] = lambda_array[list_bin["index"]] self.parent.list_bin_positions = list_bin def update_all_size_widgets_infos(self): - if self.parent.ui.square_roi_radiobutton.isChecked(): return roi_id = self.parent.roi_id - region = roi_id.getArraySlice(self.parent.final_image, - self.parent.ui.image_view.imageItem) + region = roi_id.getArraySlice(self.parent.final_image, self.parent.ui.image_view.imageItem) x0 = region[0][0].start x1 = region[0][0].stop y0 = region[0][1].start @@ -200,13 +187,12 @@ def update_all_size_widgets_infos(self): # 'x1' : new_x0 + width_requested + 1, 'y1': new_y0 + height_requested + 1, # 'width': width_requested, 'height': height_requested} - def update_selection(self, new_value=None, mode='square'): + def update_selection(self, new_value=None, mode="square"): if self.parent.roi_id is None: return try: - region = self.parent.roi_id.getArraySlice(self.parent.final_image, - self.parent.ui.image_view.imageItem) + region = self.parent.roi_id.getArraySlice(self.parent.final_image, self.parent.ui.image_view.imageItem) except TypeError: return @@ -218,17 +204,14 @@ def update_selection(self, new_value=None, mode='square'): self.parent.ui.image_view.removeItem(self.parent.roi_id) _pen = QtGui.QPen() - _pen.setColor(self.parent.roi_settings['color']) - _pen.setWidthF(self.parent.roi_settings['width']) - self.parent.roi_id = pg.ROI([x0, y0], - [new_value, new_value], - pen=_pen, - scaleSnap=True) + _pen.setColor(self.parent.roi_settings["color"]) + _pen.setWidthF(self.parent.roi_settings["width"]) + self.parent.roi_id = pg.ROI([x0, y0], [new_value, new_value], pen=_pen, scaleSnap=True) self.parent.ui.image_view.addItem(self.parent.roi_id) self.parent.roi_id.sigRegionChanged.connect(self.parent.roi_moved) - if mode == 'square': + if mode == "square": self.parent.ui.roi_width.setText(str(new_value)) self.parent.ui.roi_height.setText(str(new_value)) self.parent.reset_profile_of_bin_size_slider() @@ -246,19 +229,23 @@ def update_selection_plot(self): max_value = self.parent.ui.profile_of_bin_size_slider.maximum() roi_selected = max_value - self.parent.ui.profile_of_bin_size_slider.value() - y_axis = self.parent.fitting_input_dictionary['rois'][roi_selected]['profile'] + y_axis = self.parent.fitting_input_dictionary["rois"][roi_selected]["profile"] - self.parent.ui.profile.plot(x_axis, y_axis, pen=(self.parent.shrinking_roi_rgb[0], - self.parent.shrinking_roi_rgb[1], - self.parent.shrinking_roi_rgb[2])) + self.parent.ui.profile.plot( + x_axis, + y_axis, + pen=(self.parent.shrinking_roi_rgb[0], self.parent.shrinking_roi_rgb[1], self.parent.shrinking_roi_rgb[2]), + ) self.parent.ui.profile.setLabel("bottom", x_axis_label) - self.parent.ui.profile.setLabel("left", 'Mean transmission') + self.parent.ui.profile.setLabel("left", "Mean transmission") # full region - y_axis = self.parent.fitting_input_dictionary['rois'][0]['profile'] - self.parent.ui.profile.plot(x_axis, y_axis, pen=(self.parent.selection_roi_rgb[0], - self.parent.selection_roi_rgb[1], - self.parent.selection_roi_rgb[2])) + y_axis = self.parent.fitting_input_dictionary["rois"][0]["profile"] + self.parent.ui.profile.plot( + x_axis, + y_axis, + pen=(self.parent.selection_roi_rgb[0], self.parent.selection_roi_rgb[1], self.parent.selection_roi_rgb[2]), + ) def profile_of_bin_size_slider_changed(self, new_value): try: @@ -291,10 +278,10 @@ def profile_of_bin_size_slider_changed(self, new_value): def update_roi_defined_by_profile_of_bin_size_slider(self): coordinates_new_selection = self.get_coordinates_of_new_inside_selection_box() self.parent.shrinking_roi = coordinates_new_selection - x0 = coordinates_new_selection['x0'] - y0 = coordinates_new_selection['y0'] - width = coordinates_new_selection['width'] - height = coordinates_new_selection['height'] + x0 = coordinates_new_selection["x0"] + y0 = coordinates_new_selection["y0"] + width = coordinates_new_selection["width"] + height = coordinates_new_selection["height"] # remove old selection if self.parent.shrinking_roi_id: @@ -302,25 +289,23 @@ def update_roi_defined_by_profile_of_bin_size_slider(self): # plot new box _pen = QtGui.QPen() - _pen.setDashPattern(self.parent.shrinking_roi_settings['dashes_pattern']) - _pen.setColor(self.parent.shrinking_roi_settings['color']) - _pen.setWidthF(self.parent.shrinking_roi_settings['width']) - - self.parent.shrinking_roi_id = pg.ROI([x0, y0], - [width, height], - pen=_pen, - scaleSnap=True, - movable=False) + _pen.setDashPattern(self.parent.shrinking_roi_settings["dashes_pattern"]) + _pen.setColor(self.parent.shrinking_roi_settings["color"]) + _pen.setWidthF(self.parent.shrinking_roi_settings["width"]) + + self.parent.shrinking_roi_id = pg.ROI([x0, y0], [width, height], pen=_pen, scaleSnap=True, movable=False) self.parent.ui.image_view.addItem(self.parent.shrinking_roi_id) def update_profile_of_bin_slider_widget(self): self.parent.change_profile_of_bin_slider_signal() fitting_input_dictionary = self.parent.fitting_input_dictionary dict_rois_imported = OrderedDict() - nbr_key = len(fitting_input_dictionary['rois'].keys()) - for _index, _key in enumerate(fitting_input_dictionary['rois'].keys()): - dict_rois_imported[nbr_key - 1 - _index] = {'width' : fitting_input_dictionary['rois'][_key]['width'], - 'height': fitting_input_dictionary['rois'][_key]['height']} + nbr_key = len(fitting_input_dictionary["rois"].keys()) + for _index, _key in enumerate(fitting_input_dictionary["rois"].keys()): + dict_rois_imported[nbr_key - 1 - _index] = { + "width": fitting_input_dictionary["rois"][_key]["width"], + "height": fitting_input_dictionary["rois"][_key]["height"], + } self.parent.dict_rois_imported = dict_rois_imported self.parent.ui.profile_of_bin_size_slider.setRange(0, len(dict_rois_imported) - 1) # self.parent.ui.profile_of_bin_size_slider.setMinimum(0) @@ -334,14 +319,14 @@ def update_selection_roi_slider_changed(self): self.parent.selection_roi_slider_changed(value) def calculate_big_table(self): - list_data = self.parent.o_norm.data['sample']['data'] + list_data = self.parent.o_norm.data["sample"]["data"] list_bin_positions = self.parent.list_bin_positions - list_bin_index = list_bin_positions['index'] + list_bin_index = list_bin_positions["index"] nbr_bin = len(list_bin_index) - 1 - x0 = self.parent.roi_selection_dict['x0'] - y0 = self.parent.roi_selection_dict['y0'] - x1 = self.parent.roi_selection_dict['x1'] - y1 = self.parent.roi_selection_dict['y1'] + x0 = self.parent.roi_selection_dict["x0"] + y0 = self.parent.roi_selection_dict["y0"] + x1 = self.parent.roi_selection_dict["x1"] + y1 = self.parent.roi_selection_dict["y1"] self.initialize_table(nbr_bin=nbr_bin) @@ -356,60 +341,57 @@ def calculate_big_table(self): o_table = TableHandler(table_ui=self.parent.ui.calculation_bin_table) max_ratio_value = 0 - row_and_column_of_max_ratio_value = {'row' : [], - 'column': []} + row_and_column_of_max_ratio_value = {"row": [], "column": []} for _row in np.arange(nbr_bin): for _col in np.arange(_row, nbr_bin): bin_col_divided_by_bin_row = list_mean_counts_of_bin[_col] / list_mean_counts_of_bin[_row] diff_with_1 = np.abs(1 - bin_col_divided_by_bin_row) if diff_with_1 > max_ratio_value: max_ratio_value = diff_with_1 - row_and_column_of_max_ratio_value['row'] = [_row] - row_and_column_of_max_ratio_value['column'] = [_col] + row_and_column_of_max_ratio_value["row"] = [_row] + row_and_column_of_max_ratio_value["column"] = [_col] elif diff_with_1 == max_ratio_value: - row_and_column_of_max_ratio_value['row'].append(_row) - row_and_column_of_max_ratio_value['column'].append(_col) + row_and_column_of_max_ratio_value["row"].append(_row) + row_and_column_of_max_ratio_value["column"].append(_col) # choose to display the difference related to 1 diff_from_1 = np.abs(1 - bin_col_divided_by_bin_row) - _item = o_table.insert_item_with_float(row=_row, - column=_col, - float_value=diff_from_1, - format_str="{:.4f}") + _item = o_table.insert_item_with_float( + row=_row, column=_col, float_value=diff_from_1, format_str="{:.4f}" + ) # change the background of the max_ratio_value_cell - for _row, _col in zip(row_and_column_of_max_ratio_value['row'], - row_and_column_of_max_ratio_value['column']): - o_table.set_background_color(row=_row, - column=_col, - qcolor=self.background_color_of_max_bin_ratio) + for _row, _col in zip( + row_and_column_of_max_ratio_value["row"], row_and_column_of_max_ratio_value["column"], strict=False + ): + o_table.set_background_color(row=_row, column=_col, qcolor=self.background_color_of_max_bin_ratio) - self.fill_summary_table(bin_index_1=row_and_column_of_max_ratio_value['row'][0], - bin_index_2=row_and_column_of_max_ratio_value['column'][0]) + self.fill_summary_table( + bin_index_1=row_and_column_of_max_ratio_value["row"][0], + bin_index_2=row_and_column_of_max_ratio_value["column"][0], + ) - self.parent.optimum_bin_ratio = {'bin_number_1': row_and_column_of_max_ratio_value['row'][0], - 'bin_number_2': row_and_column_of_max_ratio_value['column'][0]} + self.parent.optimum_bin_ratio = { + "bin_number_1": row_and_column_of_max_ratio_value["row"][0], + "bin_number_2": row_and_column_of_max_ratio_value["column"][0], + } @staticmethod def get_file_index_range(bin_index=None, list_bin_positions=None): - return SelectionTab.get_range_for_given_key(key='index', - index=bin_index, - list_bin_positions=list_bin_positions) + return SelectionTab.get_range_for_given_key(key="index", index=bin_index, list_bin_positions=list_bin_positions) @staticmethod def get_tof_index_range(bin_index=None, list_bin_positions=None): - return SelectionTab.get_range_for_given_key(key='tof', - index=bin_index, - list_bin_positions=list_bin_positions) + return SelectionTab.get_range_for_given_key(key="tof", index=bin_index, list_bin_positions=list_bin_positions) @staticmethod def get_lambda_index_range(bin_index=None, list_bin_positions=None): - return SelectionTab.get_range_for_given_key(key='lambda', - index=bin_index, - list_bin_positions=list_bin_positions) + return SelectionTab.get_range_for_given_key( + key="lambda", index=bin_index, list_bin_positions=list_bin_positions + ) @staticmethod - def get_range_for_given_key(key='index', index=0, list_bin_positions=None): + def get_range_for_given_key(key="index", index=0, list_bin_positions=None): from_index = list_bin_positions[key][index] to_index = list_bin_positions[key][index + 1] return (from_index, to_index) @@ -422,35 +404,41 @@ def fill_summary_table(self, bin_index_1=None, bin_index_2=None): list_bin_positions = self.parent.list_bin_positions # file index - (from_file_index, to_file_index) = SelectionTab.get_file_index_range(bin_index=bin_index_1, - list_bin_positions=list_bin_positions) + (from_file_index, to_file_index) = SelectionTab.get_file_index_range( + bin_index=bin_index_1, list_bin_positions=list_bin_positions + ) o_table.insert_item(row=0, column=1, value=from_file_index, format_str="{:d}") o_table.insert_item(row=0, column=2, value=to_file_index, format_str="{:d}") - (from_file_index, to_file_index) = SelectionTab.get_file_index_range(bin_index=bin_index_2, - list_bin_positions=list_bin_positions) + (from_file_index, to_file_index) = SelectionTab.get_file_index_range( + bin_index=bin_index_2, list_bin_positions=list_bin_positions + ) o_table.insert_item(row=1, column=1, value=from_file_index, format_str="{:d}") o_table.insert_item(row=1, column=2, value=to_file_index, format_str="{:d}") # tof index - (from_tof_index, to_tof_index) = SelectionTab.get_tof_index_range(bin_index=bin_index_1, - list_bin_positions=list_bin_positions) + (from_tof_index, to_tof_index) = SelectionTab.get_tof_index_range( + bin_index=bin_index_1, list_bin_positions=list_bin_positions + ) o_table.insert_item(row=0, column=3, value=from_tof_index * 1e6, format_str="{:f}") o_table.insert_item(row=0, column=4, value=to_tof_index * 1e6, format_str="{:f}") - (from_tof_index, to_tof_index) = SelectionTab.get_tof_index_range(bin_index=bin_index_2, - list_bin_positions=list_bin_positions) + (from_tof_index, to_tof_index) = SelectionTab.get_tof_index_range( + bin_index=bin_index_2, list_bin_positions=list_bin_positions + ) o_table.insert_item(row=1, column=3, value=from_tof_index * 1e6, format_str="{:f}") o_table.insert_item(row=1, column=4, value=to_tof_index * 1e6, format_str="{:2f}") # lambda index - (from_lambda_index, to_lambda_index) = SelectionTab.get_lambda_index_range(bin_index=bin_index_1, - list_bin_positions=list_bin_positions) + (from_lambda_index, to_lambda_index) = SelectionTab.get_lambda_index_range( + bin_index=bin_index_1, list_bin_positions=list_bin_positions + ) o_table.insert_item(row=0, column=5, value=from_lambda_index, format_str="{:f}") o_table.insert_item(row=0, column=6, value=to_lambda_index, format_str="{:f}") - (from_lambda_index, to_lambda_index) = SelectionTab.get_lambda_index_range(bin_index=bin_index_2, - list_bin_positions=list_bin_positions) + (from_lambda_index, to_lambda_index) = SelectionTab.get_lambda_index_range( + bin_index=bin_index_2, list_bin_positions=list_bin_positions + ) o_table.insert_item(row=1, column=5, value=from_lambda_index, format_str="{:f}") o_table.insert_item(row=1, column=6, value=to_lambda_index, format_str="{:f}") @@ -462,40 +450,39 @@ def initialize_table(self, nbr_bin=0): for bin_index in np.arange(nbr_bin): o_table.insert_empty_row(row=bin_index) o_table.insert_empty_column(column=bin_index) - list_row_col_names.append("Bin #{}".format(bin_index)) + list_row_col_names.append(f"Bin #{bin_index}") o_table.set_row_names(row_names=list_row_col_names) o_table.set_column_names(column_names=list_row_col_names) def display_image_of_best_ratio(self): list_bin_positions = self.parent.list_bin_positions - list_bin_index = list_bin_positions['index'] + list_bin_index = list_bin_positions["index"] optimum_bin_ratio = self.parent.optimum_bin_ratio - data = self.parent.o_norm.data['sample']['data'] + data = self.parent.o_norm.data["sample"]["data"] # image 1 - from_index = optimum_bin_ratio['bin_number_1'] + from_index = optimum_bin_ratio["bin_number_1"] to_index = from_index + 1 - image_stack1 = data[list_bin_index[from_index]: list_bin_index[to_index]][:][:] + image_stack1 = data[list_bin_index[from_index] : list_bin_index[to_index]][:][:] image1 = np.mean(image_stack1, axis=0) # image 2 - from_index = optimum_bin_ratio['bin_number_2'] + from_index = optimum_bin_ratio["bin_number_2"] to_index = from_index + 1 - image_stack2 = data[list_bin_index[from_index]: list_bin_index[to_index]][:][:] + image_stack2 = data[list_bin_index[from_index] : list_bin_index[to_index]][:][:] image2 = np.mean(image_stack2, axis=0) index_of_0 = np.where(image2 == 0) - image2[index_of_0] = np.NaN + image2[index_of_0] = np.nan image1_over_image2 = np.true_divide(image1, image2) _image = np.transpose(image1_over_image2) self.parent.ui.image_ratio_view.setImage(_image) o_table = TableHandler(table_ui=self.parent.ui.calculation_bin_table) - o_table.select_cell(row=optimum_bin_ratio['bin_number_1'], - column=optimum_bin_ratio['bin_number_2']) + o_table.select_cell(row=optimum_bin_ratio["bin_number_1"], column=optimum_bin_ratio["bin_number_2"]) self.save_widget_enabled(enabled=True) self.parent.calculated_live_image = _image @@ -509,22 +496,22 @@ def display_image_of_selected_cell(self, row=0, column=0): else: self.save_widget_enabled(enabled=True) - data = self.parent.o_norm.data['sample']['data'] + data = self.parent.o_norm.data["sample"]["data"] list_bin_positions = self.parent.list_bin_positions - list_bin_index = list_bin_positions['index'] + list_bin_index = list_bin_positions["index"] from_index1 = row to_index1 = from_index1 + 1 - image_stack1 = data[list_bin_index[from_index1]: list_bin_index[to_index1]][:][:] + image_stack1 = data[list_bin_index[from_index1] : list_bin_index[to_index1]][:][:] image1 = np.mean(image_stack1, axis=0) from_index2 = column to_index2 = from_index2 + 1 - image_stack2 = data[list_bin_index[from_index2]: list_bin_index[to_index2]][:][:] + image_stack2 = data[list_bin_index[from_index2] : list_bin_index[to_index2]][:][:] image2 = np.mean(image_stack2, axis=0) index_of_0 = np.where(image2 == 0) - image2[index_of_0] = np.NaN + image2[index_of_0] = np.nan image1_over_image2 = np.true_divide(image1, image2) _image = np.transpose(image1_over_image2) @@ -538,17 +525,17 @@ def make_image_name(self, full_base_folder=""): o_table = TableHandler(table_ui=self.parent.ui.calculation_bin_table) (row, col) = o_table.get_cell_selected() base_folder = os.path.basename(full_base_folder) - image_name = "{}_bin{}_divided_by_bin{}.tiff".format(base_folder, - col, - row) + image_name = f"{base_folder}_bin{col}_divided_by_bin{row}.tiff" return image_name def export_selected_image(self): base_folder = Path(self.parent.working_dir) image_name = self.make_image_name(base_folder) - export_file_tuple = QFileDialog.getSaveFileName(parent=self.parent, - directory=str(base_folder) + "/" + image_name, - caption="Define output image name (*.tiff)") + export_file_tuple = QFileDialog.getSaveFileName( + parent=self.parent, + directory=str(base_folder) + "/" + image_name, + caption="Define output image name (*.tiff)", + ) if export_file_tuple[0]: export_file_name = export_file_tuple[0] image_to_save = self.parent.calculated_live_image @@ -556,10 +543,9 @@ def export_selected_image(self): folder_where_to_save = os.path.dirname(export_file_name) base_export_file_name = os.path.basename(export_file_name) - metadata = self.parent.o_norm.data['sample']['metadata'][0] + metadata = self.parent.o_norm.data["sample"]["metadata"][0] o_norm = Normalization() - o_norm.data['sample']['data'] = [image_to_save] - o_norm.data['sample']['metadata'] = [metadata] - o_norm.data['sample']['file_name'] = [base_export_file_name] - o_norm.export(folder=folder_where_to_save, - data_type='sample') + o_norm.data["sample"]["data"] = [image_to_save] + o_norm.data["sample"]["metadata"] = [metadata] + o_norm.data["sample"]["file_name"] = [base_export_file_name] + o_norm.export(folder=folder_where_to_save, data_type="sample") diff --git a/notebooks/__code/extract_evenly_spaced_files/__init__.py b/notebooks/__code/extract_evenly_spaced_files/__init__.py index 43a515c5..e0b48dbd 100755 --- a/notebooks/__code/extract_evenly_spaced_files/__init__.py +++ b/notebooks/__code/extract_evenly_spaced_files/__init__.py @@ -1,6 +1,5 @@ from qtpy.QtGui import QColor - LOG_FILENAME = ".extract_evenly_spaced_files.log" MAX_STATISTICS_ERROR_ALLOWED = QColor(255, 0, 0, 255) diff --git a/notebooks/__code/extract_evenly_spaced_files/event_handler.py b/notebooks/__code/extract_evenly_spaced_files/event_handler.py index a8786f2a..46535768 100755 --- a/notebooks/__code/extract_evenly_spaced_files/event_handler.py +++ b/notebooks/__code/extract_evenly_spaced_files/event_handler.py @@ -1,30 +1,28 @@ +import logging + +import numpy as np +from qtpy import QtGui from qtpy.QtGui import QGuiApplication from qtpy.QtWidgets import QMenu -from qtpy import QtGui -import numpy as np -import logging from __code._utilities.list_widget import ListWidget from __code._utilities.status_message import StatusMessageStatus, show_status_message -from __code.extract_evenly_spaced_files.manual_mode_interface_handler import Interface as ManualModeInterface from __code.extract_evenly_spaced_files.load import load_file +from __code.extract_evenly_spaced_files.manual_mode_interface_handler import Interface as ManualModeInterface from __code.extract_evenly_spaced_files.statistics import Statistics class EventHandler: - def __init__(self, parent=None): self.parent = parent def load_files(self): logging.info("loading files ...") - show_status_message(parent=self.parent, - message="Loading ...", - status=StatusMessageStatus.working) + show_status_message(parent=self.parent, message="Loading ...", status=StatusMessageStatus.working) list_files = self.parent.list_of_files_that_will_be_extracted nbr_files = len(list_files) - self.parent.eventProgress.setMaximum(nbr_files-1) + self.parent.eventProgress.setMaximum(nbr_files - 1) self.parent.eventProgress.setValue(0) self.parent.eventProgress.setVisible(True) @@ -34,17 +32,14 @@ def load_files(self): _data = load_file(file=_file) list_data.append(_data) - self.parent.eventProgress.setValue(_index+1) + self.parent.eventProgress.setValue(_index + 1) QGuiApplication.processEvents() self.parent.list_data = list_data self.parent.eventProgress.setVisible(False) logging.info(f"file loaded! np.shape(list_data): {np.shape(self.parent.list_data)}") - show_status_message(parent=self.parent, - message="Done loading!", - status=StatusMessageStatus.ready, - duration_s=5) + show_status_message(parent=self.parent, message="Done loading!", status=StatusMessageStatus.ready, duration_s=5) QGuiApplication.processEvents() def select_first_file(self): @@ -70,8 +65,7 @@ def image_selected_changed(self): _view_box.setState(_state) if not first_update: - _histo_widget.setLevels(self.parent.histogram_level[0], - self.parent.histogram_level[1]) + _histo_widget.setLevels(self.parent.histogram_level[0], self.parent.histogram_level[1]) def list_files_right_click(self): menu = QMenu(self.parent) @@ -98,7 +92,7 @@ def remove_this_file_clicked(self): self.parent.ui.list_of_files_listWidget.clear() self.parent.ui.list_of_files_listWidget.addItems(self.parent.basename_list_of_files_that_will_be_extracted) - o_list.select_element(row=index_file_selected-1) + o_list.select_element(row=index_file_selected - 1) self.update_manual_interface() o_statistics = Statistics(parent=self.parent) diff --git a/notebooks/__code/extract_evenly_spaced_files/get.py b/notebooks/__code/extract_evenly_spaced_files/get.py index 24084821..a75b945a 100755 --- a/notebooks/__code/extract_evenly_spaced_files/get.py +++ b/notebooks/__code/extract_evenly_spaced_files/get.py @@ -1,13 +1,12 @@ -import numpy as np import os -from __code._utilities.get import Get as TopGet +import numpy as np +from __code._utilities.get import Get as TopGet from __code.extract_evenly_spaced_files import LOG_FILENAME class Get(TopGet): - def log_file_name(self): return TopGet.log_file_name(LOG_FILENAME) @@ -36,7 +35,7 @@ def renamed_basename_list_of_files(self, prefix): renamed_list_of_files_to_extract = [] for _counter, _file in enumerate(list_of_files_to_extract): [_name, ext] = os.path.splitext(_file) - new_name = prefix + "{:04d}{}".format(_counter, ext) + new_name = prefix + f"{_counter:04d}{ext}" renamed_list_of_files_to_extract.append(new_name) return renamed_list_of_files_to_extract diff --git a/notebooks/__code/extract_evenly_spaced_files/interface_handler.py b/notebooks/__code/extract_evenly_spaced_files/interface_handler.py index 4d4f6078..e288e18c 100755 --- a/notebooks/__code/extract_evenly_spaced_files/interface_handler.py +++ b/notebooks/__code/extract_evenly_spaced_files/interface_handler.py @@ -1,18 +1,17 @@ -from qtpy.QtWidgets import QMainWindow -import os import logging +import os + +from qtpy.QtWidgets import QMainWindow from __code import load_ui from __code._utilities.list_widget import ListWidget - -from __code.extract_evenly_spaced_files.interface_initialization import InterfaceInitialization from __code.extract_evenly_spaced_files.event_handler import EventHandler from __code.extract_evenly_spaced_files.get import Get +from __code.extract_evenly_spaced_files.interface_initialization import InterfaceInitialization from __code.extract_evenly_spaced_files.statistics import Statistics class Interface: - def __init__(self, o_extract=None): o_interface_handler = InterfaceHandler(o_extract=o_extract) o_interface_handler.show() @@ -20,7 +19,6 @@ def __init__(self, o_extract=None): class InterfaceHandler(QMainWindow): - basename_list_of_files_that_will_be_extracted = None list_of_files_that_will_be_extracted = None list_data = None @@ -38,29 +36,33 @@ class InterfaceHandler(QMainWindow): def __init__(self, parent=None, o_extract=None): o_get = Get(parent=self) log_file_name = o_get.log_file_name() - logging.basicConfig(filename=log_file_name, - filemode='w', - format='[%(levelname)s] - %(asctime)s - %(message)s', - level=logging.INFO) # logging.INFO, logging.DEBUG + logging.basicConfig( + filename=log_file_name, + filemode="w", + format="[%(levelname)s] - %(asctime)s - %(message)s", + level=logging.INFO, + ) # logging.INFO, logging.DEBUG logging.info("*** Starting new session ***") self.parent = parent self.o_extract = o_extract - self.basename_list_of_files_that_will_be_extracted = \ - o_extract.basename_list_of_files_that_will_be_extracted + self.basename_list_of_files_that_will_be_extracted = o_extract.basename_list_of_files_that_will_be_extracted self.list_of_files_that_will_be_extracted = o_extract.list_of_files_to_extract self.full_raw_list_of_files = o_extract.list_files self.full_base_list_of_files = [os.path.basename(_file) for _file in self.full_raw_list_of_files] self.extracting_value = self.o_extract.extracting_ui.value - logging.info(f"number of files to extract: len(list_of_files_to_extract) = " - f" {len(self.list_of_files_that_will_be_extracted)}") + logging.info( + f"number of files to extract: len(list_of_files_to_extract) = " + f" {len(self.list_of_files_that_will_be_extracted)}" + ) logging.info(f"number of full list of files: len(full_raw_list_of_files) = {len(self.full_raw_list_of_files)}") super(InterfaceHandler, self).__init__(parent) - ui_full_path = os.path.join(os.path.dirname(os.path.dirname(os.path.dirname(__file__))), - os.path.join('ui', - 'ui_extract_evenly_spaced_files.ui')) + ui_full_path = os.path.join( + os.path.dirname(os.path.dirname(os.path.dirname(__file__))), + os.path.join("ui", "ui_extract_evenly_spaced_files.ui"), + ) self.ui = load_ui(ui_full_path, baseinstance=self) self.setWindowTitle("Extract Evenly Spaced Files") @@ -107,7 +109,7 @@ def check_previous_next_image_status(self): previous_status = False nbr_elements = o_list.get_number_elements() - if index_image_selected == (nbr_elements-1): + if index_image_selected == (nbr_elements - 1): next_status = False self.ui.previous_image_pushButton.setEnabled(previous_status) @@ -130,6 +132,6 @@ def ok_clicked(self): self.close() def closeEvent(self, event=None): - if not (self.manual_interface_id is None): + if self.manual_interface_id is not None: self.manual_interface_id.close() self.close() diff --git a/notebooks/__code/extract_evenly_spaced_files/interface_initialization.py b/notebooks/__code/extract_evenly_spaced_files/interface_initialization.py index c000a0de..2d7d24d4 100755 --- a/notebooks/__code/extract_evenly_spaced_files/interface_initialization.py +++ b/notebooks/__code/extract_evenly_spaced_files/interface_initialization.py @@ -1,10 +1,8 @@ import pyqtgraph as pg -from qtpy.QtWidgets import QVBoxLayout, QProgressBar -from qtpy import QtGui +from qtpy.QtWidgets import QProgressBar, QVBoxLayout class InterfaceInitialization: - def __init__(self, parent=None): self.parent = parent diff --git a/notebooks/__code/extract_evenly_spaced_files/load.py b/notebooks/__code/extract_evenly_spaced_files/load.py index cde8afd4..8821fd00 100755 --- a/notebooks/__code/extract_evenly_spaced_files/load.py +++ b/notebooks/__code/extract_evenly_spaced_files/load.py @@ -1,5 +1,4 @@ import matplotlib.image as mpimg - from NeuNorm.normalization import Normalization from __code._utilities.file import get_file_extension @@ -8,7 +7,7 @@ def load_file(file=None): ext = get_file_extension(filename=file) - if ext.lower() in ['jpg', 'jpeg']: + if ext.lower() in ["jpg", "jpeg"]: _data = mpimg.imread(file) # with Image.open(file) as im: # BUG that crashes the UI # _data = np.asarray(im.convert('L'))/255. @@ -16,6 +15,6 @@ def load_file(file=None): else: o_norm = Normalization() o_norm.load(file=file, notebook=False) - _data = o_norm.data['sample']['data'][0] + _data = o_norm.data["sample"]["data"][0] return _data diff --git a/notebooks/__code/extract_evenly_spaced_files/main.py b/notebooks/__code/extract_evenly_spaced_files/main.py index e5bd7caa..e109bca5 100755 --- a/notebooks/__code/extract_evenly_spaced_files/main.py +++ b/notebooks/__code/extract_evenly_spaced_files/main.py @@ -1,28 +1,31 @@ import os -from ipywidgets import widgets -from IPython.display import display, HTML + import numpy as np +from IPython.display import HTML, display +from ipywidgets import widgets from __code import file_handler -from __code.ipywe.myfileselector import FileSelectorPanelWithJumpFolders -from __code.ipywe.fileselector import FileSelectorPanel -from __code.extract_evenly_spaced_files.get import Get from __code._utilities.file import retrieve_time_stamp +from __code.extract_evenly_spaced_files.get import Get +from __code.ipywe.fileselector import FileSelectorPanel +from __code.ipywe.myfileselector import FileSelectorPanelWithJumpFolders -class ExtractEvenlySpacedFiles(object): - working_dir = '' +class ExtractEvenlySpacedFiles: + working_dir = "" extract_message = "You are about to extract {} files!" - def __init__(self, working_dir=''): + def __init__(self, working_dir=""): self.working_dir = working_dir def select_folder(self): - self.folder_widget = FileSelectorPanel(instruction='select folder with images to combine', - start_dir=self.working_dir, - type='directory', - next=self.retrieve_list_of_files, - multiple=False) + self.folder_widget = FileSelectorPanel( + instruction="select folder with images to combine", + start_dir=self.working_dir, + type="directory", + next=self.retrieve_list_of_files, + multiple=False, + ) self.folder_widget.show() def retrieve_list_of_files(self, folder_selected): @@ -34,7 +37,7 @@ def retrieve_list_of_files(self, folder_selected): self.list_files.sort() else: retrieve_time_stamp_dict = retrieve_time_stamp(list_images=self.list_files) - list_time_stamp = retrieve_time_stamp_dict['list_time_stamp'] + list_time_stamp = retrieve_time_stamp_dict["list_time_stamp"] index_sorted = np.argsort(list_time_stamp) list_files = np.array(self.list_files) self.list_files = list_files[index_sorted] @@ -43,46 +46,57 @@ def retrieve_list_of_files(self, folder_selected): self.basename_list_files = [os.path.basename(_file) for _file in self.list_files] self.basename_list_of_files_that_will_be_extracted = [os.path.basename(_file) for _file in self.list_files] self.number_of_files = len(self.list_files) - display(HTML('' + str(self.number_of_files) + - ' files will be used in the extraction.')) + display( + HTML( + '' + + str(self.number_of_files) + + " files will be used in the extraction." + ) + ) def sorting_method(self): - self.sorting_ui = widgets.RadioButtons(options=["Time", "File Name"], - value="File Name") + self.sorting_ui = widgets.RadioButtons(options=["Time", "File Name"], value="File Name") display(self.sorting_ui) def how_to_extract(self): o_get = Get(parent=self) # how to extract - hori_layout_1 = widgets.HBox([widgets.Label("Extract 1 over ", - layout=widgets.Layout(width="100px")), - widgets.Dropdown(options=np.arange(1, self.number_of_files), - value=2, - layout=widgets.Layout(width="50px")), - widgets.Label("files", - layout=widgets.Layout(width="60px"))]) + hori_layout_1 = widgets.HBox( + [ + widgets.Label("Extract 1 over ", layout=widgets.Layout(width="100px")), + widgets.Dropdown( + options=np.arange(1, self.number_of_files), value=2, layout=widgets.Layout(width="50px") + ), + widgets.Label("files", layout=widgets.Layout(width="60px")), + ] + ) self.extracting_ui = hori_layout_1.children[1] # number of files that will be extracted - hori_layout_2 = widgets.HBox([widgets.Label(self.extract_message.format( - o_get.number_of_files_to_extract()), - layout=widgets.Layout(width="40%"))]) + hori_layout_2 = widgets.HBox( + [ + widgets.Label( + self.extract_message.format(o_get.number_of_files_to_extract()), layout=widgets.Layout(width="40%") + ) + ] + ) self.extracting_label_ui = hori_layout_2.children[0] # list of files that will be extracted - hori_layout_3 = widgets.HBox([widgets.Label("List of files extracted", - layout=widgets.Layout(width='20%')), - widgets.Select(options=self.basename_list_files, - layout=widgets.Layout(width='80%', - height='400px'))]) + hori_layout_3 = widgets.HBox( + [ + widgets.Label("List of files extracted", layout=widgets.Layout(width="20%")), + widgets.Select(options=self.basename_list_files, layout=widgets.Layout(width="80%", height="400px")), + ] + ) self.list_of_files_that_will_be_extracted_ui = hori_layout_3.children[1] verti_layout = widgets.VBox([hori_layout_1, hori_layout_2, hori_layout_3]) display(verti_layout) self.extracting_ui = hori_layout_1.children[1] - self.extracting_ui.observe(self.update_extracting_value, names='value') + self.extracting_ui.observe(self.update_extracting_value, names="value") self.update_extracting_value(-1) @@ -94,66 +108,70 @@ def update_extracting_value(self, _): list_of_files_that_will_be_extracted = o_get.list_of_files_to_extract() self.list_of_files_to_extract = list_of_files_that_will_be_extracted - basename_list_of_files_that_will_be_extracted = [os.path.basename(_file) for _file in list_of_files_that_will_be_extracted] + basename_list_of_files_that_will_be_extracted = [ + os.path.basename(_file) for _file in list_of_files_that_will_be_extracted + ] self.list_of_files_that_will_be_extracted_ui.options = basename_list_of_files_that_will_be_extracted self.basename_list_of_files_that_will_be_extracted = basename_list_of_files_that_will_be_extracted def renaming_checkbox_changed(self, value): - if value['new']: - visibility = 'visible' + if value["new"]: + visibility = "visible" else: - visibility = 'hidden' + visibility = "hidden" self.left_vertical_layout.layout.visibility = visibility self.right_vertical_layout.layout.visibility = visibility def prefix_changed(self, new_value): o_get = Get(parent=self) - new_prefix = new_value['new'] + new_prefix = new_value["new"] self.renamed_basename_list_of_files = o_get.renamed_basename_list_of_files(prefix=new_prefix) self.new_file_name_ui.options = self.renamed_basename_list_of_files def renamed_files(self): o_get = Get(parent=self) self.basename_list_of_files_that_will_be_extracted = self.basename_list_of_files_that_will_be_extracted - question_widget = widgets.Checkbox(value=True, - description="Rename files?") - question_widget.observe(self.renaming_checkbox_changed, names='value') + question_widget = widgets.Checkbox(value=True, description="Rename files?") + question_widget.observe(self.renaming_checkbox_changed, names="value") self.renaming_files_widget = question_widget - self.prefix_file_name = widgets.Text(value="", - placeholder="Type prefix here", - description="Prefix:") - self.prefix_file_name.observe(self.prefix_changed, names='value') + self.prefix_file_name = widgets.Text(value="", placeholder="Type prefix here", description="Prefix:") + self.prefix_file_name.observe(self.prefix_changed, names="value") self.renamed_basename_list_of_files = o_get.renamed_basename_list_of_files(prefix=self.prefix_file_name.value) - self.left_vertical_layout = widgets.VBox([widgets.Label("Before renaming", - layout=widgets.Layout(width='100%')), - widgets.Select( - options=self.basename_list_of_files_that_will_be_extracted, - layout=widgets.Layout(width='90%', - height='400px'))], - layout=widgets.Layout(width='40%')) - self.right_vertical_layout = widgets.VBox([widgets.Label("After renaming", - layout=widgets.Layout(width='100%')), - widgets.Select(options=self.renamed_basename_list_of_files, - layout=widgets.Layout(width='90%', - height='400px'))], - layout=widgets.Layout(width='40%')) + self.left_vertical_layout = widgets.VBox( + [ + widgets.Label("Before renaming", layout=widgets.Layout(width="100%")), + widgets.Select( + options=self.basename_list_of_files_that_will_be_extracted, + layout=widgets.Layout(width="90%", height="400px"), + ), + ], + layout=widgets.Layout(width="40%"), + ) + self.right_vertical_layout = widgets.VBox( + [ + widgets.Label("After renaming", layout=widgets.Layout(width="100%")), + widgets.Select( + options=self.renamed_basename_list_of_files, layout=widgets.Layout(width="90%", height="400px") + ), + ], + layout=widgets.Layout(width="40%"), + ) self.new_file_name_ui = self.right_vertical_layout.children[1] - horizontal_layout = widgets.HBox([self.left_vertical_layout, - self.right_vertical_layout]) - full_vertical_layout = widgets.VBox([question_widget, - self.prefix_file_name, - horizontal_layout]) + horizontal_layout = widgets.HBox([self.left_vertical_layout, self.right_vertical_layout]) + full_vertical_layout = widgets.VBox([question_widget, self.prefix_file_name, horizontal_layout]) display(full_vertical_layout) def select_output_folder(self): - self.output_folder_ui = FileSelectorPanelWithJumpFolders(instruction='select where to extract the files', - start_dir=self.working_dir, - next=self.extract, - type='directory', - ipts_folder=self.working_dir, - newdir_toolbar_button=True) + self.output_folder_ui = FileSelectorPanelWithJumpFolders( + instruction="select where to extract the files", + start_dir=self.working_dir, + next=self.extract, + type="directory", + ipts_folder=self.working_dir, + newdir_toolbar_button=True, + ) def extract(self, output_folder): self.output_folder_ui.shortcut_buttons.close() # hack to hide the buttons @@ -162,30 +180,61 @@ def extract(self, output_folder): full_path_to_file = os.path.dirname(list_of_files_to_extract[0]) name_of_parent_folder = os.path.basename(full_path_to_file) basename_list_of_files_that_will_be_extracted = self.basename_list_of_files_that_will_be_extracted - fullname_list_of_files_that_will_be_extracted = [os.path.join(full_path_to_file, - _file) for _file in basename_list_of_files_that_will_be_extracted] + fullname_list_of_files_that_will_be_extracted = [ + os.path.join(full_path_to_file, _file) for _file in basename_list_of_files_that_will_be_extracted + ] extracting_value = self.extracting_ui.value - new_folder = name_of_parent_folder + "_extracted_1_every_{}_files".format(extracting_value) + new_folder = name_of_parent_folder + f"_extracted_1_every_{extracting_value}_files" full_output_folder_name = os.path.abspath(os.path.join(output_folder, new_folder)) file_handler.make_or_reset_folder(full_output_folder_name) if self.renaming_files_widget.value: list_files_new_name = self.renamed_basename_list_of_files - display(HTML('Copying and renaming ' + - str(len(list_of_files_to_extract)) + - ' files into ' + full_output_folder_name + '... IN PROGRESS!')) - - file_handler.copy_and_rename_files_to_folder(list_files=fullname_list_of_files_that_will_be_extracted, - new_list_files_names=list_files_new_name, - output_folder=full_output_folder_name) - display(HTML('' + str(len(list_of_files_to_extract)) + - ' files have been copied and renamed into ' + full_output_folder_name + '... DONE!')) + display( + HTML( + 'Copying and renaming ' + + str(len(list_of_files_to_extract)) + + " files into " + + full_output_folder_name + + "... IN PROGRESS!" + ) + ) + + file_handler.copy_and_rename_files_to_folder( + list_files=fullname_list_of_files_that_will_be_extracted, + new_list_files_names=list_files_new_name, + output_folder=full_output_folder_name, + ) + display( + HTML( + '' + + str(len(list_of_files_to_extract)) + + " files have been copied and renamed into " + + full_output_folder_name + + "... DONE!" + ) + ) else: - display(HTML('Copying ' + str(len(list_of_files_to_extract)) + - ' files into ' + full_output_folder_name + '... IN PROGRESS!')) - file_handler.copy_files_to_folder(list_files=fullname_list_of_files_that_will_be_extracted, - output_folder=full_output_folder_name) - display(HTML('' + str(len(list_of_files_to_extract)) + - ' files have been copied into ' + full_output_folder_name + '')) + display( + HTML( + 'Copying ' + + str(len(list_of_files_to_extract)) + + " files into " + + full_output_folder_name + + "... IN PROGRESS!" + ) + ) + file_handler.copy_files_to_folder( + list_files=fullname_list_of_files_that_will_be_extracted, output_folder=full_output_folder_name + ) + display( + HTML( + '' + + str(len(list_of_files_to_extract)) + + " files have been copied into " + + full_output_folder_name + + "" + ) + ) diff --git a/notebooks/__code/extract_evenly_spaced_files/manual_mode_interface_handler.py b/notebooks/__code/extract_evenly_spaced_files/manual_mode_interface_handler.py index b12d8460..b5ebea8e 100755 --- a/notebooks/__code/extract_evenly_spaced_files/manual_mode_interface_handler.py +++ b/notebooks/__code/extract_evenly_spaced_files/manual_mode_interface_handler.py @@ -1,19 +1,18 @@ -from qtpy.QtWidgets import QMainWindow -import os import logging -import pyqtgraph as pg -from qtpy.QtWidgets import QVBoxLayout +import os + import numpy as np +import pyqtgraph as pg +from qtpy.QtWidgets import QMainWindow, QVBoxLayout from __code import load_ui from __code._utilities.list_widget import ListWidget -from __code.extract_evenly_spaced_files.load import load_file from __code.extract_evenly_spaced_files.get import Get +from __code.extract_evenly_spaced_files.load import load_file from __code.extract_evenly_spaced_files.statistics import Statistics class Interface: - def __init__(self, parent=None): if parent.manual_interface_id is None: o_interface_handler = InterfaceHandler(parent=parent) @@ -25,15 +24,15 @@ def __init__(self, parent=None): class InterfaceHandler(QMainWindow): - def __init__(self, parent=None): logging.info("*** Starting Manual mode UI ***") self.parent = parent super(InterfaceHandler, self).__init__(parent) - ui_full_path = os.path.join(os.path.dirname(os.path.dirname(os.path.dirname(__file__))), - os.path.join('ui', - 'ui_extract_evenly_spaced_files_replace_with.ui')) + ui_full_path = os.path.join( + os.path.dirname(os.path.dirname(os.path.dirname(__file__))), + os.path.join("ui", "ui_extract_evenly_spaced_files_replace_with.ui"), + ) self.ui = load_ui(ui_full_path, baseinstance=self) self.setWindowTitle("Manual Mode") @@ -79,8 +78,7 @@ def validate_change(self): new_file = self.ui.replace_by_comboBox.currentText() o_list = ListWidget(ui=self.parent.ui.list_of_files_listWidget) - self.parent.basename_list_of_files_that_will_be_extracted[index_file_selected] = \ - os.path.basename(new_file) + self.parent.basename_list_of_files_that_will_be_extracted[index_file_selected] = os.path.basename(new_file) self.parent.ui.list_of_files_listWidget.clear() self.parent.ui.list_of_files_listWidget.addItems(self.parent.basename_list_of_files_that_will_be_extracted) @@ -119,7 +117,7 @@ def update_replace_by_list(self): self.ui.replace_by_comboBox.blockSignals(True) self.ui.replace_by_comboBox.clear() - #index_file_selected_in_full_list = index_file_selected * extracting_value + # index_file_selected_in_full_list = index_file_selected * extracting_value o_get = Get(parent=self.parent) base_file_name = self.parent.basename_list_of_files_that_will_be_extracted[index_file_selected] index_file_selected_in_full_list = o_get.index_of_file_selected_in_full_list(base_file_name) @@ -128,27 +126,30 @@ def update_replace_by_list(self): logging.info(f"index_file_selected_in_full_list: {index_file_selected_in_full_list}") if index_file_selected == 0: - list_of_option_of_files_to_replace_with = \ - full_list_of_files[index_file_selected_in_full_list: index_file_selected_in_full_list + extracting_value] + list_of_option_of_files_to_replace_with = full_list_of_files[ + index_file_selected_in_full_list : index_file_selected_in_full_list + extracting_value + ] elif index_file_selected == (o_list.get_number_elements() - 1): - list_of_option_of_files_to_replace_with = \ - full_list_of_files[index_file_selected_in_full_list - extracting_value: - index_file_selected_in_full_list] + list_of_option_of_files_to_replace_with = full_list_of_files[ + index_file_selected_in_full_list - extracting_value : index_file_selected_in_full_list + ] else: list_of_option_of_files_to_replace_with = [] - for _file in full_list_of_files[index_file_selected_in_full_list + 1 - extracting_value: - index_file_selected_in_full_list]: - list_of_option_of_files_to_replace_with.append(_file) + for _file in full_list_of_files[ + index_file_selected_in_full_list + 1 - extracting_value : index_file_selected_in_full_list + ]: + list_of_option_of_files_to_replace_with.append(_file) - for _file in full_list_of_files[index_file_selected_in_full_list: index_file_selected_in_full_list + - extracting_value]: - list_of_option_of_files_to_replace_with.append(_file) + for _file in full_list_of_files[ + index_file_selected_in_full_list : index_file_selected_in_full_list + extracting_value + ]: + list_of_option_of_files_to_replace_with.append(_file) self.ui.replace_by_comboBox.addItems(list_of_option_of_files_to_replace_with) # select current file as default (mid point in the list) nbr_option = len(list_of_option_of_files_to_replace_with) - mid_point = int(nbr_option/2) + mid_point = int(nbr_option / 2) self.ui.replace_by_comboBox.setCurrentIndex(mid_point) self.ui.replace_by_comboBox.blockSignals(False) diff --git a/notebooks/__code/extract_evenly_spaced_files/statistics.py b/notebooks/__code/extract_evenly_spaced_files/statistics.py index eedbd1ad..3b13d03c 100755 --- a/notebooks/__code/extract_evenly_spaced_files/statistics.py +++ b/notebooks/__code/extract_evenly_spaced_files/statistics.py @@ -1,16 +1,16 @@ import logging -from qtpy.QtGui import QGuiApplication + import numpy as np import pyqtgraph as pg from qtpy import QtGui +from qtpy.QtGui import QGuiApplication from __code._utilities.list_widget import ListWidget -from __code._utilities.status_message import StatusMessageStatus, show_status_message from __code._utilities.math import mean_square_error +from __code._utilities.status_message import StatusMessageStatus, show_status_message class Statistics: - def __init__(self, parent=None): self.parent = parent @@ -23,10 +23,8 @@ def full_update(self): self.parent.ui.setEnabled(True) def update_statistics(self): - logging.info(f"Updating statistics ...") - show_status_message(parent=self.parent, - message="Updating statistics ...", - status=StatusMessageStatus.working) + logging.info("Updating statistics ...") + show_status_message(parent=self.parent, message="Updating statistics ...", status=StatusMessageStatus.working) QGuiApplication.processEvents() list_data = self.parent.list_data @@ -35,7 +33,7 @@ def update_statistics(self): list_image_2 = list_data[0:-1] list_err = [] - for image1, image2 in zip(list_image_1, list_image_2): + for image1, image2 in zip(list_image_1, list_image_2, strict=False): err = mean_square_error(image1, image2) list_err.append(err) @@ -45,11 +43,10 @@ def update_statistics(self): self.plot_statistics() - logging.info(f"Statistics plot done!") - show_status_message(parent=self.parent, - message="Updated statistics!", - status=StatusMessageStatus.ready, - duration_s=5) + logging.info("Statistics plot done!") + show_status_message( + parent=self.parent, message="Updated statistics!", status=StatusMessageStatus.ready, duration_s=5 + ) QGuiApplication.processEvents() def plot_statistics(self): @@ -57,26 +54,24 @@ def plot_statistics(self): if list_err is None: return - self.parent.ui.statistics_plot.plot(list_err, symbol='o', pen='w') + self.parent.ui.statistics_plot.plot(list_err, symbol="o", pen="w") o_list = ListWidget(ui=self.parent.ui.list_of_files_listWidget) index_file_selected = o_list.get_current_row() - self.parent.ui.statistics_plot.plot([index_file_selected], - [list_err[index_file_selected]], - pen=(200, 200, 200), - symbolBrush=(255, 0, 0), - symbolPen='w') + self.parent.ui.statistics_plot.plot( + [index_file_selected], + [list_err[index_file_selected]], + pen=(200, 200, 200), + symbolBrush=(255, 0, 0), + symbolPen="w", + ) def init_plot_statistics_threshold(self): max_value = self.parent.max_statistics_error_value - self.parent.threshold_line = pg.InfiniteLine(pos=max_value, - angle=0, - label="Max threshold", - movable=True) + self.parent.threshold_line = pg.InfiniteLine(pos=max_value, angle=0, label="Max threshold", movable=True) self.parent.ui.statistics_plot.addItem(self.parent.threshold_line) - self.parent.threshold_line.sigPositionChanged.connect( - self.parent.statistics_max_threshold_moved) + self.parent.threshold_line.sigPositionChanged.connect(self.parent.statistics_max_threshold_moved) def statistics_max_threshold_moved(self): self.parent.max_statistics_error_value = self.parent.threshold_line.value() diff --git a/notebooks/__code/extract_nexus_daslogs/extract.py b/notebooks/__code/extract_nexus_daslogs/extract.py index 83a9629d..c539916e 100755 --- a/notebooks/__code/extract_nexus_daslogs/extract.py +++ b/notebooks/__code/extract_nexus_daslogs/extract.py @@ -1,320 +1,326 @@ -import os import copy -import h5py -from pathlib import Path -from ipywidgets import widgets -from IPython.display import display -from IPython.display import HTML +import os from collections import OrderedDict +from pathlib import Path + +import h5py import numpy as np +from IPython.display import HTML, display +from ipywidgets import widgets -from __code.ipywe import myfileselector -from __code.nexus_handler import get_list_entries, get_entry_value from __code.file_folder_browser import FileFolderBrowser -from __code.time_utility import AbsoluteTimeHandler, RelativeTimeHandler from __code.interpolation_utilities import Interpolation +from __code.ipywe import myfileselector +from __code.nexus_handler import get_entry_value, get_list_entries +from __code.time_utility import AbsoluteTimeHandler, RelativeTimeHandler -STARTING_ENTRIES = ['entry', 'DASlogs'] +STARTING_ENTRIES = ["entry", "DASlogs"] class Extract(FileFolderBrowser): - - first_nexus_selected = '' - widget_height = "400px" - - def __init__(self, working_dir=''): - super(Extract, self).__init__(working_dir=working_dir) - - def select_nexus(self): - o_file = FileFolderBrowser(working_dir=self.working_dir, - next_function=self.select_metadata) - o_file.select_images(instruction="Select the NeXus files to extract infos from!", - multiple_flag=True, - filters={"NeXus": '*.nxs.h5'}) - - def select_metadata(self, list_nexus=None): - if list_nexus is None: - return - - self.list_nexus = list_nexus - - self.first_nexus_selected = list_nexus[0] - self.dict_daslogs_keys = get_list_entries(nexus_file_name=self.first_nexus_selected, - starting_entries=STARTING_ENTRIES) - - self.display_widgets() - - def display_widgets(self): - - dict_daslogs_keys = self.dict_daslogs_keys - nexus_path = self.first_nexus_selected - - self.list_daslogs_keys = list(dict_daslogs_keys.keys()) - first_daslogs_key = self.list_daslogs_keys[0] - list_keys_of_first_daslogs_key = list(dict_daslogs_keys[first_daslogs_key]) - first_key = list_keys_of_first_daslogs_key[0] - with h5py.File(nexus_path, 'r') as nxs: - value_of_first_selected_element = (list(nxs['entry']['DASlogs'][first_daslogs_key][first_key])) - - search_box = widgets.HBox([widgets.Label("Search:"), - widgets.Text("", - layout=widgets.Layout(width="30%"))]) - search_text_widget = search_box.children[1] - search_text_widget.observe(self.search_text_changed, names='value') - - key_layout = widgets.VBox([widgets.Label("X-axis"), - widgets.Select(options=list_keys_of_first_daslogs_key), - widgets.Label("Y-axis"), - widgets.Select(options=list_keys_of_first_daslogs_key), - ]) - value_layout = widgets.VBox([widgets.Label("Value"), - widgets.Select(options=value_of_first_selected_element), - widgets.Label("Value"), - widgets.Select(options=value_of_first_selected_element)], - ) - - hori_box = widgets.HBox([widgets.Select(options=self.list_daslogs_keys, - value=first_daslogs_key, - layout=widgets.Layout(width="400px", - height=self.widget_height)), - key_layout, - value_layout], - layout=widgets.Layout()) - - interpolate_hbox = widgets.HBox([widgets.Checkbox(value=False, - description='Interpolate y-axis'), - widgets.Label(value="using x-axis increment values of"), - widgets.FloatText(value=10, - layout=widgets.Layout(width="20%"))]) - - display(search_box) - display(hori_box) - display(interpolate_hbox) - - self.top_keys_widgets = hori_box.children[0] - - self.x_axis_intermediate_key_widget = key_layout.children[1] - self.y_axis_intermediate_key_widget = key_layout.children[3] - - self.x_axis_intermediate_value_widget = value_layout.children[1] - self.y_axis_intermediate_value_widget = value_layout.children[3] - - self.top_keys_widgets.observe(self.top_keys_changed, names='value') - self.x_axis_intermediate_key_widget.observe(self.x_axis_intermediate_value_changed, names='value') - self.y_axis_intermediate_key_widget.observe(self.y_axis_intermediate_value_changed, names='value') - - self.top_keys_widget_value = self.top_keys_widgets.value - - self.interpolate_checkbox = interpolate_hbox.children[0] - self.interpolate_label = interpolate_hbox.children[1] - self.interpolate_label.disabled = True - self.interpolate_value = interpolate_hbox.children[2] - self.interpolate_value.disabled = True - self.interpolate_checkbox.observe(self.interpolate_checkbox_changed, names='value') - - def interpolate_checkbox_changed(self, value): - old_state = value['old'] - self.interpolate_value.disabled = old_state - self.interpolate_label.disabled = old_state - - def top_keys_changed(self, value): - new_top_key = value['new'] - self.top_keys_widget_value = new_top_key - list_intermediate_keys = list(self.dict_daslogs_keys[new_top_key]) - self.x_axis_intermediate_key_widget.options = list_intermediate_keys - self.x_axis_intermediate_key_widget.value = list_intermediate_keys[0] - self.y_axis_intermediate_key_widget.options = list_intermediate_keys - self.y_axis_intermediate_key_widget.value = list_intermediate_keys[0] - - def x_axis_intermediate_value_changed(self, value=None): - new_intermediate_key = value['new'] - first_daslogs_key =self.top_keys_widget_value - with h5py.File(self.first_nexus_selected, 'r') as nxs: - value_of_first_selected_element = (list(nxs['entry']['DASlogs'][first_daslogs_key][new_intermediate_key])) - self.x_axis_intermediate_value_widget.options = value_of_first_selected_element - - def y_axis_intermediate_value_changed(self, value=None): - new_intermediate_key = value['new'] - # value_of_first_selected_element = None - first_daslogs_key = self.top_keys_widget_value - with h5py.File(self.first_nexus_selected, 'r') as nxs: - value_of_first_selected_element = (list(nxs['entry']['DASlogs'][first_daslogs_key][new_intermediate_key])) - self.y_axis_intermediate_value_widget.options = value_of_first_selected_element - - def search_text_changed(self, value): - new_text = value['new'] - if new_text == "": - self.top_keys_widgets.value = self.list_daslogs_keys[0] - return - - for key in self.list_daslogs_keys: - if new_text in key: - self.top_keys_widgets.value = key - return - - def extract_all(self, output_folder): - list_nexus = self.list_nexus - final_dict = OrderedDict() - for _nexus in list_nexus: - result_dict = self.extract(nexus_file_name=_nexus) - if result_dict is None: - continue - final_dict[_nexus] = result_dict - - self.final_dict = final_dict - self.output_folder = os.path.abspath(output_folder) - - output_file_name = self.makeup_output_file_name() - Extract.create_output_file(file_name=output_file_name, - dictionary=final_dict) - - def makeup_output_file_name(self): - output_folder = self.output_folder - nbr_nexus = len(self.list_nexus) - top_key = self.top_key_widget_value - x_axis_key = self.x_axis_key - y_axis_key = self.y_axis_key - - return str(Path(output_folder) / ("{}_nexus_metadata_".format(nbr_nexus) + - "{}_{}_{}".format(top_key, - x_axis_key, - y_axis_key) + ".txt")) - - def extract(self, nexus_file_name='', top_key_widget_value=None, x_axis_key=None, y_axis_key=None): - top_key_widget_value = top_key_widget_value if top_key_widget_value else self.top_keys_widget_value - x_axis_key = x_axis_key if x_axis_key else self.x_axis_intermediate_key_widget.value - y_axis_key = y_axis_key if y_axis_key else self.y_axis_intermediate_key_widget.value - interpolate_flag = self.interpolate_checkbox.value - interpolate_increment_value = self.interpolate_value.value if interpolate_flag else None - - self.top_key_widget_value = top_key_widget_value - self.x_axis_key = x_axis_key - self.y_axis_key = y_axis_key - - metadata = ['# nexus file name: ' + nexus_file_name] - metadata.append("# PV name: " + top_key_widget_value) - metadata.append("# interpolated y_axis: {}".format(interpolate_flag)) - if interpolate_flag: - metadata.append("# x-axis increment value: {}".format(interpolate_increment_value)) - - if (x_axis_key == 'time') or (y_axis_key == 'time'): - use_absolute_time_offset = True - - top_entry_path = copy.deepcopy(STARTING_ENTRIES) - top_entry_path.append(top_key_widget_value) - - x_axis_entry_path = copy.deepcopy(top_entry_path) - x_axis_entry_path.append(x_axis_key) - - x_axis_array = get_entry_value(nexus_file_name=nexus_file_name, - entry_path=x_axis_entry_path) - y_axis_entry_path = copy.deepcopy(top_entry_path) - y_axis_entry_path.append(y_axis_key) - y_axis_array = get_entry_value(nexus_file_name=nexus_file_name, - entry_path=y_axis_entry_path) - - if interpolate_flag: - - if len(x_axis_array) == 1: - return None - - x_min = int(x_axis_array[0]/interpolate_increment_value) - if x_min != x_axis_array[0]: - x_min += interpolate_increment_value - - new_x_axis_array = np.arange(x_min, x_axis_array[-1], interpolate_increment_value) - o_interpolation = Interpolation(x_axis=x_axis_array, - y_axis=y_axis_array) - - try: - y_axis_array = o_interpolation.get_new_y_array(new_x_axis=new_x_axis_array) - except TypeError: - return None - - x_axis_array = new_x_axis_array - - col3 = {'data': None, - 'name': 'absolute time'} - col4 = {'data': None, - 'name': 'master relative time (s)'} - col_legend = "{}, {}".format(x_axis_key, y_axis_key) - if use_absolute_time_offset: - starting_time = get_entry_value(nexus_file_name=nexus_file_name, - entry_path=['entry','start_time']) - starting_time = starting_time[0].decode('UTF-8') - metadata.append("# starting time of this file: {}".format(starting_time)) - - master_starting_time = get_entry_value(nexus_file_name=self.first_nexus_selected, - entry_path=['entry', 'start_time']) - master_starting_time = master_starting_time[0].decode('UTF-8') - metadata.append("# starting time of first file: {}".format(master_starting_time)) - - if x_axis_key == 'time': - time_axis = x_axis_array - else: - time_axis = y_axis_array - - o_absolute = AbsoluteTimeHandler(initial_absolute_time=starting_time[0]) - absolute_time_axis = o_absolute.get_absolute_time_for_this_delta_time_array(delta_time_array=time_axis) - col3['data'] = absolute_time_axis - col_legend += ", {}".format('absolute time') - - o_relative = RelativeTimeHandler(master_initial_time=master_starting_time, - local_initial_time=starting_time) - master_relative_time_axis = o_relative.get_relative_time_for_this_time_array(time_array=time_axis) - col4['data'] = master_relative_time_axis - col_legend += ", {}".format('master relative time (s)') - - metadata.append("#") - metadata.append("# {}".format(col_legend)) - - return {'col1': {'data': x_axis_array, - 'name': x_axis_key}, - 'col2': {'data': y_axis_array, - 'name': y_axis_key}, - 'col3': copy.deepcopy(col3), - 'col4': copy.deepcopy(col4), - 'metadata': metadata} - - def export(self): - self.output_folder_ui = myfileselector.FileSelectorPanelWithJumpFolders( - instruction='select where to create the ' + \ - 'ascii file', - start_dir=self.working_dir, - next=self.extract_all, - type='directory', - newdir_toolbar_button=True) - - @staticmethod - def create_output_file(file_name=None, dictionary=None): - - if len(dictionary) == 0: - display(HTML('No ASCII file has been created!')) - return - - with open(file_name, 'w') as f: - - for _key in dictionary.keys(): - item = dictionary[_key] - - _metadata = item['metadata'] - for _line in _metadata: - _line += "\n" - f.write(_line) - - item_col1 = item['col1']['data'] - item_col2 = item['col2']['data'] - item_col3 = item['col3']['data'] - item_col4 = item['col4']['data'] - - for _index in np.arange(len(item['col1']['data'])): - _line = "{}, {}".format(item_col1[_index], item_col2[_index]) - if item_col3: - _line += ", {}, {}".format(item_col3[_index], item_col4[_index]) - _line += "\n" - f.write(_line) - - f.write("\n") - - display(HTML('The following ASCII file has been created: ' + - '' + file_name + '')) + first_nexus_selected = "" + widget_height = "400px" + + def __init__(self, working_dir=""): + super(Extract, self).__init__(working_dir=working_dir) + + def select_nexus(self): + o_file = FileFolderBrowser(working_dir=self.working_dir, next_function=self.select_metadata) + o_file.select_images( + instruction="Select the NeXus files to extract infos from!", + multiple_flag=True, + filters={"NeXus": "*.nxs.h5"}, + ) + + def select_metadata(self, list_nexus=None): + if list_nexus is None: + return + + self.list_nexus = list_nexus + + self.first_nexus_selected = list_nexus[0] + self.dict_daslogs_keys = get_list_entries( + nexus_file_name=self.first_nexus_selected, starting_entries=STARTING_ENTRIES + ) + + self.display_widgets() + + def display_widgets(self): + dict_daslogs_keys = self.dict_daslogs_keys + nexus_path = self.first_nexus_selected + + self.list_daslogs_keys = list(dict_daslogs_keys.keys()) + first_daslogs_key = self.list_daslogs_keys[0] + list_keys_of_first_daslogs_key = list(dict_daslogs_keys[first_daslogs_key]) + first_key = list_keys_of_first_daslogs_key[0] + with h5py.File(nexus_path, "r") as nxs: + value_of_first_selected_element = list(nxs["entry"]["DASlogs"][first_daslogs_key][first_key]) + + search_box = widgets.HBox([widgets.Label("Search:"), widgets.Text("", layout=widgets.Layout(width="30%"))]) + search_text_widget = search_box.children[1] + search_text_widget.observe(self.search_text_changed, names="value") + + key_layout = widgets.VBox( + [ + widgets.Label("X-axis"), + widgets.Select(options=list_keys_of_first_daslogs_key), + widgets.Label("Y-axis"), + widgets.Select(options=list_keys_of_first_daslogs_key), + ] + ) + value_layout = widgets.VBox( + [ + widgets.Label("Value"), + widgets.Select(options=value_of_first_selected_element), + widgets.Label("Value"), + widgets.Select(options=value_of_first_selected_element), + ], + ) + + hori_box = widgets.HBox( + [ + widgets.Select( + options=self.list_daslogs_keys, + value=first_daslogs_key, + layout=widgets.Layout(width="400px", height=self.widget_height), + ), + key_layout, + value_layout, + ], + layout=widgets.Layout(), + ) + + interpolate_hbox = widgets.HBox( + [ + widgets.Checkbox(value=False, description="Interpolate y-axis"), + widgets.Label(value="using x-axis increment values of"), + widgets.FloatText(value=10, layout=widgets.Layout(width="20%")), + ] + ) + + display(search_box) + display(hori_box) + display(interpolate_hbox) + + self.top_keys_widgets = hori_box.children[0] + + self.x_axis_intermediate_key_widget = key_layout.children[1] + self.y_axis_intermediate_key_widget = key_layout.children[3] + + self.x_axis_intermediate_value_widget = value_layout.children[1] + self.y_axis_intermediate_value_widget = value_layout.children[3] + + self.top_keys_widgets.observe(self.top_keys_changed, names="value") + self.x_axis_intermediate_key_widget.observe(self.x_axis_intermediate_value_changed, names="value") + self.y_axis_intermediate_key_widget.observe(self.y_axis_intermediate_value_changed, names="value") + + self.top_keys_widget_value = self.top_keys_widgets.value + + self.interpolate_checkbox = interpolate_hbox.children[0] + self.interpolate_label = interpolate_hbox.children[1] + self.interpolate_label.disabled = True + self.interpolate_value = interpolate_hbox.children[2] + self.interpolate_value.disabled = True + self.interpolate_checkbox.observe(self.interpolate_checkbox_changed, names="value") + + def interpolate_checkbox_changed(self, value): + old_state = value["old"] + self.interpolate_value.disabled = old_state + self.interpolate_label.disabled = old_state + + def top_keys_changed(self, value): + new_top_key = value["new"] + self.top_keys_widget_value = new_top_key + list_intermediate_keys = list(self.dict_daslogs_keys[new_top_key]) + self.x_axis_intermediate_key_widget.options = list_intermediate_keys + self.x_axis_intermediate_key_widget.value = list_intermediate_keys[0] + self.y_axis_intermediate_key_widget.options = list_intermediate_keys + self.y_axis_intermediate_key_widget.value = list_intermediate_keys[0] + + def x_axis_intermediate_value_changed(self, value=None): + new_intermediate_key = value["new"] + first_daslogs_key = self.top_keys_widget_value + with h5py.File(self.first_nexus_selected, "r") as nxs: + value_of_first_selected_element = list(nxs["entry"]["DASlogs"][first_daslogs_key][new_intermediate_key]) + self.x_axis_intermediate_value_widget.options = value_of_first_selected_element + + def y_axis_intermediate_value_changed(self, value=None): + new_intermediate_key = value["new"] + # value_of_first_selected_element = None + first_daslogs_key = self.top_keys_widget_value + with h5py.File(self.first_nexus_selected, "r") as nxs: + value_of_first_selected_element = list(nxs["entry"]["DASlogs"][first_daslogs_key][new_intermediate_key]) + self.y_axis_intermediate_value_widget.options = value_of_first_selected_element + + def search_text_changed(self, value): + new_text = value["new"] + if new_text == "": + self.top_keys_widgets.value = self.list_daslogs_keys[0] + return + + for key in self.list_daslogs_keys: + if new_text in key: + self.top_keys_widgets.value = key + return + + def extract_all(self, output_folder): + list_nexus = self.list_nexus + final_dict = OrderedDict() + for _nexus in list_nexus: + result_dict = self.extract(nexus_file_name=_nexus) + if result_dict is None: + continue + final_dict[_nexus] = result_dict + + self.final_dict = final_dict + self.output_folder = os.path.abspath(output_folder) + + output_file_name = self.makeup_output_file_name() + Extract.create_output_file(file_name=output_file_name, dictionary=final_dict) + + def makeup_output_file_name(self): + output_folder = self.output_folder + nbr_nexus = len(self.list_nexus) + top_key = self.top_key_widget_value + x_axis_key = self.x_axis_key + y_axis_key = self.y_axis_key + + return str( + Path(output_folder) / (f"{nbr_nexus}_nexus_metadata_" + f"{top_key}_{x_axis_key}_{y_axis_key}" + ".txt") + ) + + def extract(self, nexus_file_name="", top_key_widget_value=None, x_axis_key=None, y_axis_key=None): + top_key_widget_value = top_key_widget_value if top_key_widget_value else self.top_keys_widget_value + x_axis_key = x_axis_key if x_axis_key else self.x_axis_intermediate_key_widget.value + y_axis_key = y_axis_key if y_axis_key else self.y_axis_intermediate_key_widget.value + interpolate_flag = self.interpolate_checkbox.value + interpolate_increment_value = self.interpolate_value.value if interpolate_flag else None + + self.top_key_widget_value = top_key_widget_value + self.x_axis_key = x_axis_key + self.y_axis_key = y_axis_key + + metadata = ["# nexus file name: " + nexus_file_name] + metadata.append("# PV name: " + top_key_widget_value) + metadata.append(f"# interpolated y_axis: {interpolate_flag}") + if interpolate_flag: + metadata.append(f"# x-axis increment value: {interpolate_increment_value}") + + if (x_axis_key == "time") or (y_axis_key == "time"): + use_absolute_time_offset = True + + top_entry_path = copy.deepcopy(STARTING_ENTRIES) + top_entry_path.append(top_key_widget_value) + + x_axis_entry_path = copy.deepcopy(top_entry_path) + x_axis_entry_path.append(x_axis_key) + + x_axis_array = get_entry_value(nexus_file_name=nexus_file_name, entry_path=x_axis_entry_path) + y_axis_entry_path = copy.deepcopy(top_entry_path) + y_axis_entry_path.append(y_axis_key) + y_axis_array = get_entry_value(nexus_file_name=nexus_file_name, entry_path=y_axis_entry_path) + + if interpolate_flag: + if len(x_axis_array) == 1: + return None + + x_min = int(x_axis_array[0] / interpolate_increment_value) + if x_min != x_axis_array[0]: + x_min += interpolate_increment_value + + new_x_axis_array = np.arange(x_min, x_axis_array[-1], interpolate_increment_value) + o_interpolation = Interpolation(x_axis=x_axis_array, y_axis=y_axis_array) + + try: + y_axis_array = o_interpolation.get_new_y_array(new_x_axis=new_x_axis_array) + except TypeError: + return None + + x_axis_array = new_x_axis_array + + col3 = {"data": None, "name": "absolute time"} + col4 = {"data": None, "name": "master relative time (s)"} + col_legend = f"{x_axis_key}, {y_axis_key}" + if use_absolute_time_offset: + starting_time = get_entry_value(nexus_file_name=nexus_file_name, entry_path=["entry", "start_time"]) + starting_time = starting_time[0].decode("UTF-8") + metadata.append(f"# starting time of this file: {starting_time}") + + master_starting_time = get_entry_value( + nexus_file_name=self.first_nexus_selected, entry_path=["entry", "start_time"] + ) + master_starting_time = master_starting_time[0].decode("UTF-8") + metadata.append(f"# starting time of first file: {master_starting_time}") + + if x_axis_key == "time": + time_axis = x_axis_array + else: + time_axis = y_axis_array + + o_absolute = AbsoluteTimeHandler(initial_absolute_time=starting_time[0]) + absolute_time_axis = o_absolute.get_absolute_time_for_this_delta_time_array(delta_time_array=time_axis) + col3["data"] = absolute_time_axis + col_legend += ", {}".format("absolute time") + + o_relative = RelativeTimeHandler(master_initial_time=master_starting_time, local_initial_time=starting_time) + master_relative_time_axis = o_relative.get_relative_time_for_this_time_array(time_array=time_axis) + col4["data"] = master_relative_time_axis + col_legend += ", {}".format("master relative time (s)") + + metadata.append("#") + metadata.append(f"# {col_legend}") + + return { + "col1": {"data": x_axis_array, "name": x_axis_key}, + "col2": {"data": y_axis_array, "name": y_axis_key}, + "col3": copy.deepcopy(col3), + "col4": copy.deepcopy(col4), + "metadata": metadata, + } + + def export(self): + self.output_folder_ui = myfileselector.FileSelectorPanelWithJumpFolders( + instruction="select where to create the " + "ascii file", + start_dir=self.working_dir, + next=self.extract_all, + type="directory", + newdir_toolbar_button=True, + ) + + @staticmethod + def create_output_file(file_name=None, dictionary=None): + if len(dictionary) == 0: + display(HTML('No ASCII file has been created!')) + return + + with open(file_name, "w") as f: + for _key in dictionary.keys(): + item = dictionary[_key] + + _metadata = item["metadata"] + for _line in _metadata: + _line += "\n" + f.write(_line) + + item_col1 = item["col1"]["data"] + item_col2 = item["col2"]["data"] + item_col3 = item["col3"]["data"] + item_col4 = item["col4"]["data"] + + for _index in np.arange(len(item["col1"]["data"])): + _line = f"{item_col1[_index]}, {item_col2[_index]}" + if item_col3: + _line += f", {item_col3[_index]}, {item_col4[_index]}" + _line += "\n" + f.write(_line) + + f.write("\n") + + display( + HTML( + 'The following ASCII file has been created: ' + + '' + + file_name + + "" + ) + ) diff --git a/notebooks/__code/file_folder_browser.py b/notebooks/__code/file_folder_browser.py index cb5b7628..f1e45548 100755 --- a/notebooks/__code/file_folder_browser.py +++ b/notebooks/__code/file_folder_browser.py @@ -1,60 +1,65 @@ -from __code.ipywe import myfileselector as myfileselector from __code.ipywe import fileselector as fileselector +from __code.ipywe import myfileselector as myfileselector -class FileFolderBrowser(object): - - def __init__(self, working_dir='', - next_function=None, - ipts_folder=None): +class FileFolderBrowser: + def __init__(self, working_dir="", next_function=None, ipts_folder=None): self.working_dir = working_dir self.next_function = next_function self.ipts_folder = ipts_folder - def select_images(self, instruction='Select Images ...', - multiple_flag=True, - filters={"All": "*.*"}, - default_filter="All"): - self.list_images_ui = myfileselector.MyFileSelectorPanel(instruction=instruction, - start_dir=self.working_dir, - multiple=multiple_flag, - filters=filters, - default_filter=default_filter, - next=self.next_function) + def select_images( + self, instruction="Select Images ...", multiple_flag=True, filters={"All": "*.*"}, default_filter="All" + ): + self.list_images_ui = myfileselector.MyFileSelectorPanel( + instruction=instruction, + start_dir=self.working_dir, + multiple=multiple_flag, + filters=filters, + default_filter=default_filter, + next=self.next_function, + ) self.list_images_ui.show() - def select_images_with_search(self, instruction='Select Images ...', - multiple_flag=True, - filters={"All": "*.*"}, - default_filter="All"): - self.list_images_ui = fileselector.FileSelectorPanel(instruction=instruction, - start_dir=self.working_dir, - multiple=multiple_flag, - filters=filters, - default_filter=default_filter, - next=self.next_function) + def select_images_with_search( + self, instruction="Select Images ...", multiple_flag=True, filters={"All": "*.*"}, default_filter="All" + ): + self.list_images_ui = fileselector.FileSelectorPanel( + instruction=instruction, + start_dir=self.working_dir, + multiple=multiple_flag, + filters=filters, + default_filter=default_filter, + next=self.next_function, + ) self.list_images_ui.show() - def select_input_folder(self, instruction='Select Input Folder ...', multiple_flag=False): - self.list_input_folders_ui = myfileselector.MyFileSelectorPanel(instruction=instruction, - start_dir=self.working_dir, - type='directory', - multiple=multiple_flag, - next=self.next_function) + def select_input_folder(self, instruction="Select Input Folder ...", multiple_flag=False): + self.list_input_folders_ui = myfileselector.MyFileSelectorPanel( + instruction=instruction, + start_dir=self.working_dir, + type="directory", + multiple=multiple_flag, + next=self.next_function, + ) self.list_input_folders_ui.show() - def select_output_folder(self, instruction='Select Output Folder ...', multiple_flag=False): - self.list_output_folders_ui = myfileselector.MyFileSelectorPanel(instruction=instruction, - start_dir=self.working_dir, - type='directory', - multiple=multiple_flag, - next=self.next_function) + def select_output_folder(self, instruction="Select Output Folder ...", multiple_flag=False): + self.list_output_folders_ui = myfileselector.MyFileSelectorPanel( + instruction=instruction, + start_dir=self.working_dir, + type="directory", + multiple=multiple_flag, + next=self.next_function, + ) self.list_output_folders_ui.show() - def select_output_folder_with_new(self, instruction='Select Output Folder ...'): - self.list_output_folders_ui = myfileselector.FileSelectorPanelWithJumpFolders(instruction=instruction, - start_dir=self.working_dir, - type='directory', - ipts_folder=self.ipts_folder, - next=self.next_function, - newdir_toolbar_button=True) + def select_output_folder_with_new(self, instruction="Select Output Folder ..."): + self.list_output_folders_ui = myfileselector.FileSelectorPanelWithJumpFolders( + instruction=instruction, + start_dir=self.working_dir, + type="directory", + ipts_folder=self.ipts_folder, + next=self.next_function, + newdir_toolbar_button=True, + ) diff --git a/notebooks/__code/file_format_reader.py b/notebooks/__code/file_format_reader.py index fa347a2b..1261db44 100755 --- a/notebooks/__code/file_format_reader.py +++ b/notebooks/__code/file_format_reader.py @@ -1,18 +1,18 @@ -from collections import defaultdict -import numpy as np import os import re +from collections import defaultdict -from __code.file_handler import read_ascii - +from __code.file_handler import read_ascii -class DscReader(object): +class DscReader: dict_metadata = {} - list_tags = {'time_stamp': '"Start time"', - 'time_stamp_user_format': '"Start time (string)"', - 'acquisition_time (s)': '"Acq time"'} + list_tags = { + "time_stamp": '"Start time"', + "time_stamp_user_format": '"Start time (string)"', + "acquisition_time (s)": '"Acq time"', + } def __init__(self, list_files=[]): self.list_files = list_files @@ -20,19 +20,18 @@ def __init__(self, list_files=[]): def read(self): dict_metadata = {} for _file in self.list_files: - # make sure the file exists - if not(os.path.exists(_file)): + if not (os.path.exists(_file)): continue _short_file = os.path.basename(_file) dict_metadata[_short_file] = {} - _data = read_ascii(filename=_file).split('\n') + _data = read_ascii(filename=_file).split("\n") for _tags in self.list_tags.keys(): for _row, _line in enumerate(_data): if _line.startswith(self.list_tags[_tags]): - dict_metadata[_short_file][_tags] = _data[_row +2] + dict_metadata[_short_file][_tags] = _data[_row + 2] self.dsc_metadata = dict_metadata @@ -49,22 +48,21 @@ def build_coresponding_file_image_name(self): for _file in _dsc_metadata.keys(): m = re.match(re_string, _file) if m: - index = int(m.group('index')) - base = m.group('base') - correspoinding_tif_file_name = "{}_{}.tif".format(base, index) - _dsc_metadata[_file]['tif_file_name'] = correspoinding_tif_file_name + index = int(m.group("index")) + base = m.group("base") + correspoinding_tif_file_name = f"{base}_{index}.tif" + _dsc_metadata[_file]["tif_file_name"] = correspoinding_tif_file_name self.dsc_metadata = _dsc_metadata def make_tif_file_name_the_key(self): - _dict_time_stamp_vs_tiff = defaultdict(lambda: {'time_stamp': 0, - 'time_stamp_user_format': 'N/A'}) + _dict_time_stamp_vs_tiff = defaultdict(lambda: {"time_stamp": 0, "time_stamp_user_format": "N/A"}) _dsc_metadata = self.dsc_metadata for _key in _dsc_metadata.keys(): - _tif_name = _dsc_metadata[_key]['tif_file_name'] - _time_stamp = _dsc_metadata[_key]['time_stamp'] - _time_stamp_user_format = _dsc_metadata[_key]['time_stamp_user_format'] - _dict_time_stamp_vs_tiff[_tif_name]['time_stamp']= _time_stamp - _dict_time_stamp_vs_tiff[_tif_name]['time_stamp_user_format'] = _time_stamp_user_format + _tif_name = _dsc_metadata[_key]["tif_file_name"] + _time_stamp = _dsc_metadata[_key]["time_stamp"] + _time_stamp_user_format = _dsc_metadata[_key]["time_stamp_user_format"] + _dict_time_stamp_vs_tiff[_tif_name]["time_stamp"] = _time_stamp + _dict_time_stamp_vs_tiff[_tif_name]["time_stamp_user_format"] = _time_stamp_user_format self.dict_time_stamp_vs_tiff = _dict_time_stamp_vs_tiff diff --git a/notebooks/__code/file_handler.py b/notebooks/__code/file_handler.py index 2493a370..b8fb345f 100755 --- a/notebooks/__code/file_handler.py +++ b/notebooks/__code/file_handler.py @@ -1,24 +1,23 @@ +import datetime +import glob import os -from pathlib import Path -import pandas as pd -from astropy.io import fits -import numpy as np import pickle -import shutil -from PIL import Image -import glob -from collections import Counter, namedtuple, OrderedDict import re -import datetime -import logging +import shutil +from collections import Counter, OrderedDict, namedtuple +from pathlib import Path +import numpy as np +import pandas as pd +from astropy.io import fits +from IPython.display import display from ipywidgets import widgets -from IPython.display import display, HTML +from PIL import Image from __code.metadata_handler import MetadataHandler -def force_file_extension(filename, ext='.txt'): +def force_file_extension(filename, ext=".txt"): """this method check the name of the file and makes sure the extension is the one we are requesting""" [base, extension] = os.path.splitext(filename) @@ -43,12 +42,12 @@ def test_image(file_name, threshold=5000): return True -def load_data(filenames='', folder='', showing_progress=False): - ''' +def load_data(filenames="", folder="", showing_progress=False): + """ load the various file_name format - ''' + """ if folder: - list_files = glob.glob(folder + '/*.*') + list_files = glob.glob(folder + "/*.*") stack = [] if showing_progress: @@ -61,26 +60,25 @@ def load_data(filenames='', folder='', showing_progress=False): stack.append(_data) if showing_progress: - w.value = _index+1 + w.value = _index + 1 return stack elif isinstance(filenames, str): data_type = get_data_type(filenames) - if data_type == '.fits': + if data_type == ".fits": hdulist = fits.open(filenames, ignore_missing_end=True) hdu = hdulist[0] _image = np.asarray(hdu.data) hdulist.close() return _image - elif (data_type == '.tiff') or (data_type == '.tif'): + elif (data_type == ".tiff") or (data_type == ".tif"): _image = Image.open(filenames) return np.array(_image) else: return [] - else: # list of filenames - + else: # list of filenames list_files = filenames stack = [] @@ -95,28 +93,28 @@ def load_data(filenames='', folder='', showing_progress=False): stack.append(_data) if showing_progress: - w.value = _index+1 + w.value = _index + 1 return stack -def save_data(data=[], filename='', metadata=None): +def save_data(data=[], filename="", metadata=None): data_type = get_data_type(filename) - if data_type == '.fits': + if data_type == ".fits": make_fits(data=data, filename=filename) - elif (data_type == '.tiff') or (data_type == '.tif'): + elif (data_type == ".tiff") or (data_type == ".tif"): make_tiff(data=data, filename=filename, metadata=metadata) def get_file_extension(filename): - '''retrieve the file extension of the filename and make sure - we only keep the extension value and not the "dot" before it''' + """retrieve the file extension of the filename and make sure + we only keep the extension value and not the "dot" before it""" full_extension = get_data_type(filename) return full_extension[1:] def get_data_type(file_name): - ''' + """ using the file name extension, will return the type of the data Arguments: @@ -124,22 +122,22 @@ def get_data_type(file_name): Returns: file extension ex:.tif, .fits - ''' + """ filename, file_extension = os.path.splitext(file_name) return file_extension.strip() -def save_file(folder='', base_file_name='', suffix='', dictionary={}): - if folder == '': +def save_file(folder="", base_file_name="", suffix="", dictionary={}): + if folder == "": return - output_file = folder + base_file_name + '_time_dictionary.dat' + output_file = folder + base_file_name + "_time_dictionary.dat" pickle.dump(dictionary, open(output_file, "wb")) return output_file -def make_tiff(data=[], filename='', metadata=None): +def make_tiff(data=[], filename="", metadata=None): new_image = Image.fromarray(data) if metadata: new_image.save(filename, tiffinfo=metadata) @@ -147,7 +145,7 @@ def make_tiff(data=[], filename='', metadata=None): new_image.save(filename) -def make_fits(data=[], filename=''): +def make_fits(data=[], filename=""): fits.writeto(filename, data, clobber=True) @@ -158,7 +156,7 @@ def make_folder(folder_name): def make_or_reset_folder(folder_name): if os.path.exists(folder_name): - shutil.rmtree(folder_name) + shutil.rmtree(folder_name) os.makedirs(folder_name) @@ -167,7 +165,7 @@ def copy_files_to_folder(list_files=[], output_folder=""): shutil.copy(_file, output_folder) -def copy_and_rename_files_to_folder(list_files=[], new_list_files_names=[], output_folder=''): +def copy_and_rename_files_to_folder(list_files=[], new_list_files_names=[], output_folder=""): for _index_file, _original_file in enumerate(list_files): _new_file = os.path.join(output_folder, new_list_files_names[_index_file]) shutil.copy(_original_file, _new_file) @@ -177,10 +175,10 @@ def remove_SummedImg_from_list(list_files): base_name_and_extension = os.path.basename(list_files[0]) dir_name = os.path.dirname(list_files[0]) [base_name, _] = os.path.splitext(base_name_and_extension) - base_base_name_array = base_name.split('_') - name = '_'.join(base_base_name_array[0:-1]) + base_base_name_array = base_name.split("_") + name = "_".join(base_base_name_array[0:-1]) index = base_base_name_array[-1] - file_to_remove = os.path.join(dir_name, name + '_SummedImg.fits') + file_to_remove = os.path.join(dir_name, name + "_SummedImg.fits") list_files_cleaned = [] for _file in list_files: if _file == file_to_remove: @@ -189,54 +187,54 @@ def remove_SummedImg_from_list(list_files): return list_files_cleaned -def make_ascii_file(metadata=[], data=[], output_file_name='', dim='2d', sep=','): - f = open(output_file_name, 'w') +def make_ascii_file(metadata=[], data=[], output_file_name="", dim="2d", sep=","): + f = open(output_file_name, "w") for _meta in metadata: _line = _meta + "\n" f.write(_line) for _data in data: - if dim == '2d': + if dim == "2d": _str_data = [str(_value) for _value in _data] _line = sep.join(_str_data) + "\n" else: - _line = str(_data) + '\n' + _line = str(_data) + "\n" f.write(_line) f.close() -def make_ascii_file_from_2dim_array(metadata=None, col1=None, col2=None, output_file_name=None, sep=', '): - with open(output_file_name, 'w') as f: +def make_ascii_file_from_2dim_array(metadata=None, col1=None, col2=None, output_file_name=None, sep=", "): + with open(output_file_name, "w") as f: for _meta in metadata: _line = _meta + "\n" f.write(_line) - for _x, _y in zip(col1, col2): - _line = "{}".format(_x) + sep + "{}".format(_y) + "\n" + for _x, _y in zip(col1, col2, strict=False): + _line = f"{_x}" + sep + f"{_y}" + "\n" f.write(_line) -def make_ascii_file_from_string(text="", filename=''): - with open(filename, 'w') as f: +def make_ascii_file_from_string(text="", filename=""): + with open(filename, "w") as f: f.write(text) -def read_ascii(filename=''): - '''return contain of an ascii file''' - f = open(filename, 'r') +def read_ascii(filename=""): + """return contain of an ascii file""" + f = open(filename) text = f.read() f.close() return text -def retrieve_metadata_from_dsc_file(filename=''): +def retrieve_metadata_from_dsc_file(filename=""): text = read_ascii(filename=filename) - splitted_text = text.split('\n') + splitted_text = text.split("\n") metadata = {} - metadata['acquisition_time'] = splitted_text[9] - metadata['user_format'] = splitted_text[-3] - metadata['os_format'] = splitted_text[-7] + metadata["acquisition_time"] = splitted_text[9] + metadata["user_format"] = splitted_text[-3] + metadata["os_format"] = splitted_text[-7] return metadata @@ -249,19 +247,19 @@ def retrieve_metadata_from_dsc_list_files(list_files=[]): metadata = {} for _index, _file in enumerate(list_files): metadata[os.path.basename(_file)] = retrieve_metadata_from_dsc_file(filename=_file) - w.value = _index+1 + w.value = _index + 1 return metadata -def retrieve_list_of_most_dominant_extension_from_folder(folder='', files=[]): - ''' +def retrieve_list_of_most_dominant_extension_from_folder(folder="", files=[]): + """ This will return the list of files from the most dominant file extension found in the folder as well as the most dominant extension used - ''' + """ if folder: - list_of_input_files = glob.glob(os.path.join(folder, '*')) + list_of_input_files = glob.glob(os.path.join(folder, "*")) else: list_of_input_files = files @@ -275,14 +273,14 @@ def retrieve_list_of_most_dominant_extension_from_folder(folder='', files=[]): [_base, _ext] = os.path.splitext(_file) counter_extension[_ext] += 1 - dominand_extension = '' + dominand_extension = "" dominand_number = 0 for _key in counter_extension.keys(): if counter_extension[_key] > dominand_number: dominand_extension = _key dominand_number = counter_extension[_key] - list_of_input_files = glob.glob(os.path.join(folder, '*' + dominand_extension)) + list_of_input_files = glob.glob(os.path.join(folder, "*" + dominand_extension)) list_of_input_files.sort() list_of_input_files = [os.path.abspath(_file) for _file in list_of_input_files] @@ -290,8 +288,8 @@ def retrieve_list_of_most_dominant_extension_from_folder(folder='', files=[]): return [list_of_input_files, dominand_extension] -def remove_file_from_list(list_files=[], regular_expression=''): - ''' +def remove_file_from_list(list_files=[], regular_expression=""): + """ This method will look through the list of files provided and will try to find, using regular expresision, the name of the file that does match the 're' argument passed. If found, the list is returned without that file @@ -305,8 +303,8 @@ def remove_file_from_list(list_files=[], regular_expression=''): Returns: ======== list - ''' - if regular_expression == '': + """ + if regular_expression == "": return list_files p = re.compile(regular_expression) @@ -337,7 +335,7 @@ def _convert_epics_timestamp_to_rfc3339_timestamp(epics_timestamp): # epoch" so that Python can understand it. I got the offset by # calculating the number of seconds between the two epochs at # https://www.epochconverter.com/ - #EPOCH_OFFSET = 631152000 + # EPOCH_OFFSET = 631152000 EPOCH_OFFSET = 0 unix_epoch_timestamp = EPOCH_OFFSET + epics_timestamp return unix_epoch_timestamp @@ -345,26 +343,23 @@ def _convert_epics_timestamp_to_rfc3339_timestamp(epics_timestamp): def retrieve_time_stamp(list_images, label=""): if not list_images: - return {'list_images': None, - 'list_time_stamp': None, - 'list_time_stamp_user_format': None} + return {"list_images": None, "list_time_stamp": None, "list_time_stamp_user_format": None} [_, ext] = os.path.splitext(list_images[0]) - if ext.lower() in ['.tiff', '.tif']: - ext = 'tif' - elif ext.lower() == '.fits': - ext = 'fits' + if ext.lower() in [".tiff", ".tif"]: + ext = "tif" + elif ext.lower() == ".fits": + ext = "fits" else: raise ValueError - message = "Retrieving time stamp of {}".format(label) if label else "Retrieving time stamp" - box = widgets.HBox([widgets.Label(message, - layout=widgets.Layout(width='20%')), - widgets.IntProgress(min=0, - max=len(list_images), - value=0, - layout=widgets.Layout(width='50%')) - ]) + message = f"Retrieving time stamp of {label}" if label else "Retrieving time stamp" + box = widgets.HBox( + [ + widgets.Label(message, layout=widgets.Layout(width="20%")), + widgets.IntProgress(min=0, max=len(list_images), value=0, layout=widgets.Layout(width="50%")), + ] + ) progress_bar = box.children[1] display(box) @@ -381,18 +376,20 @@ def retrieve_time_stamp(list_images, label=""): box.close() - return {'list_images': list_images, - 'list_time_stamp': list_time_stamp, - 'list_time_stamp_user_format': list_time_stamp_user_format} + return { + "list_images": list_images, + "list_time_stamp": list_time_stamp, + "list_time_stamp_user_format": list_time_stamp_user_format, + } -def get_list_of_files(folder="", extension='tiff'): - list_files = glob.glob(os.path.join(folder, "*.{}".format(extension))) +def get_list_of_files(folder="", extension="tiff"): + list_files = glob.glob(os.path.join(folder, f"*.{extension}")) list_files.sort() return list_files -def get_list_of_all_files_in_subfolders(folder="", extensions=['tiff', 'tif']): +def get_list_of_all_files_in_subfolders(folder="", extensions=["tiff", "tif"]): absolute_path_folder = os.path.abspath(folder) list_files = [] for path, _, files in os.walk(absolute_path_folder): @@ -406,83 +403,86 @@ def read_bragg_edge_fitting_ascii_format(full_file_name): if not Path(full_file_name).exists(): raise FileNotFoundError - metadata = {'detector_offset': '', - 'distance_detector_sample': '', - } + metadata = { + "detector_offset": "", + "distance_detector_sample": "", + } march_history_table = OrderedDict() march_history_init = {} metadata_column = OrderedDict() line_number = 1 - col_label = ['index', 'tof', 'lambda'] - with open(full_file_name, 'r') as f: + col_label = ["index", "tof", "lambda"] + with open(full_file_name) as f: for line in f: if "#" == line.strip(): line_number += 1 continue if "#base folder: " in line: - metadata['base_folder'] = line.split("#base folder: ")[1].strip() + metadata["base_folder"] = line.split("#base folder: ")[1].strip() line_number += 1 continue if "#fitting peak range in file index:" in line: regular = r"^#fitting peak range in file index: \[(?P\d+), (?P\d+)\]$" m = re.search(regular, line.strip()) if m: - metadata['bragg_edge_range'] = [int(m.group('left_index')), - int(m.group('right_index'))] + metadata["bragg_edge_range"] = [int(m.group("left_index")), int(m.group("right_index"))] else: - metadata['bragg_edge_range'] = [None, None] + metadata["bragg_edge_range"] = [None, None] line_number += 1 continue if "#distance detector-sample: " in line: - metadata['distance_detector_sample'] = line.split("#distance detector-sample: ")[1].strip() + metadata["distance_detector_sample"] = line.split("#distance detector-sample: ")[1].strip() line_number += 1 continue if "#detector offset: " in line: - metadata['detector_offset'] = line.split("#detector offset: ")[1].strip() + metadata["detector_offset"] = line.split("#detector offset: ")[1].strip() line_number += 1 continue if "#kropff fitting procedure started: " in line: - result = True if line.split("#kropff fitting procedure started: ")[1].strip() == 'True' else False - metadata['kropff fitting procedure started'] = result + result = True if line.split("#kropff fitting procedure started: ")[1].strip() == "True" else False + metadata["kropff fitting procedure started"] = result line_number += 1 continue if "#march-dollase bragg peak selection range: " in line: regular = r"^#march-dollase bragg peak selection range: \[(?P\d+), (?P\d+)\]$" m = re.search(regular, line.strip()) if m: - metadata['march-dollase bragg peak selection range'] = [int(m.group('left_index')), - int(m.group('right_index'))] + metadata["march-dollase bragg peak selection range"] = [ + int(m.group("left_index")), + int(m.group("right_index")), + ] line_number += 1 continue if "#march-dollase fitting procedure started: " in line: - result = True if line.split("#march-dollase fitting procedure started: ")[1].strip() == 'True' else \ - False - metadata['march-dollase fitting procedure started'] = result + result = ( + True if line.split("#march-dollase fitting procedure started: ")[1].strip() == "True" else False + ) + metadata["march-dollase fitting procedure started"] = result line_number += 1 continue if "#Bragg peak selection range:" in line: regular = r"^#Bragg peak selection range: \[(?P\d+), (?P\d+)\]$" m = re.search(regular, line.strip()) if m: - metadata['bragg_peak_selection_range'] = [int(m.group('left_index')), - int(m.group('right_index'))] + metadata["bragg_peak_selection_range"] = [int(m.group("left_index")), int(m.group("right_index"))] line_number += 1 continue if "#kropff " in line: - regular = r"^#kropff (?P\w+) selection range: \[(?P\d+), " \ - r"(?P\d+)\]$" + regular = r"^#kropff (?P\w+) selection range: \[(?P\d+), " r"(?P\d+)\]$" m = re.search(regular, line.strip()) if m: - metadata['kropff_{}'.format(m.group('type'))] = [int(m.group('left_index')), - int(m.group('right_index'))] + metadata["kropff_{}".format(m.group("type"))] = [ + int(m.group("left_index")), + int(m.group("right_index")), + ] line_number += 1 continue if "#fitting algorithm selected: " in line: - metadata['fitting_algorithm_selected'] = line.split('#fitting algorithm selected: ')[1].strip() + metadata["fitting_algorithm_selected"] = line.split("#fitting algorithm selected: ")[1].strip() line_number += 1 continue if "#march-dollase history table row " in line: - _row_and_list_flag = line.split('#march-dollase history table row ')[1].strip() + _row_and_list_flag = line.split("#march-dollase history table row ")[1].strip() [_row, list_flag] = _row_and_list_flag.split(":") march_history_table[_row] = list_flag line_number += 1 @@ -494,102 +494,103 @@ def read_bragg_edge_fitting_ascii_format(full_file_name): line_number += 1 continue if "#column " in line: - regular = r"^#column (?P\d+) -> " \ - r"x0:(?P\d+), " \ - r"y0:(?P\d+), " \ - r"width:(?P\d+), " \ - r"height:(?P\d+), " \ - r"kropff: " \ - r"a0:(?P-{0,1}\d+.+\d+|None|-{0,1}\d+.+\d+e-{0,1}\d+), " \ - r"b0:(?P-{0,1}\d+.+\d+|None|-{0,1}\d+.+\d+e-{0,1}\d+), " \ - r"a0_error:(?P\d+.+\d+|None|-{0,1}\d+.+\d+e-{0,1}\d+), " \ - r"b0_error:(?P\d+.+\d+|None|-{0,1}\d+.+\d+e-{0,1}\d+), " \ - r"ahkl:(?P-{0,1}\d+.+\d+|None|-{0,1}\d+.+\d+e-{0,1}\d+), " \ - r"bhkl:(?P-{0,1}\d+.+\d+|None|-{0,1}\d+.+\d+e-{0,1}\d+), " \ - r"ahkl_error:(?P\d+.+\d+|None|-{0,1}\d+.+\d+e-{0,1}\d+), " \ - r"bhkl_error:(?P\d+.+\d+|None|-{0,1}\d+.+\d+e-{0,1}\d+), " \ - r"ldahkl:(?P-{0,1}\d+.+\d+|None|-{0,1}\d+.+\d+e-{0,1}\d+), " \ - r"tau:(?P-{0,1}\d+.+\d+|None|-{0,1}\d+.+\d+e-{0,1}\d+), " \ - r"sigma:(?P-{0,1}\d+.+\d+|None|-{0,1}\d+.+\d+e-{0,1}\d+), " \ - r"ldahkl_error:(?P\d+.+\d+|None|-{0,1}\d+.+\d+e-{0,1}\d+), " \ - r"tau_error:(?P\d+.+\d+|None|-{0,1}\d+.+\d+e-{0,1}\d+), " \ - r"sigma_error:(?P\d+.+\d+|None|-{0,1}\d+.+\d+e-{0,1}\d+), " \ - r"march_dollase: " \ - r"d_spacing:(?P-{0,1}\d+.+\d+|None|-{0,1}\d+.+\d+e-{0,1}\d+), " \ - r"sigma:(?P-{0,1}\d+.+\d+|None|-{0,1}\d+.+\d+e-{0,1}\d+), " \ - r"alpha:(?P-{0,1}\d+.+\d+|None|-{0,1}\d+.+\d+e-{0,1}\d+), " \ - r"a1:(?P-{0,1}\d+.+\d+|None|-{0,1}\d+.+\d+e-{0,1}\d+), " \ - r"a2:(?P-{0,1}\d+.+\d+|None|-{0,1}\d+.+\d+e-{0,1}\d+), " \ - r"a5:(?P-{0,1}\d+.+\d+|None|-{0,1}\d+.+\d+e-{0,1}\d+), " \ - r"a6:(?P-{0,1}\d+.+\d+|None|-{0,1}\d+.+\d+e-{0,1}\d+), " \ - r"d_spacing_error:(?P-{0,1}\d+.+\d+|None|-{0,1}\d+.+\d+e-{0,1}\d+), " \ - r"sigma_error:(?P-{0,1}\d+.+\d+|None|-{0,1}\d+.+\d+e-{0,1}\d+), " \ - r"alpha_error:(?P-{0,1}\d+.+\d+|None|-{0,1}\d+.+\d+e-{0,1}\d+), " \ - r"a1_error:(?P-{0,1}\d+.+\d+|None|-{0,1}\d+.+\d+e-{0,1}\d+), " \ - r"a2_error:(?P-{0,1}\d+.+\d+|None|-{0,1}\d+.+\d+e-{0,1}\d+), " \ - r"a5_error:(?P-{0,1}\d+.+\d+|None|-{0,1}\d+.+\d+e-{0,1}\d+), " \ - r"a6_error:(?P-{0,1}\d+.+\d+|None|-{0,1}\d+.+\d+e-{0,1}\d+)$" + regular = ( + r"^#column (?P\d+) -> " + r"x0:(?P\d+), " + r"y0:(?P\d+), " + r"width:(?P\d+), " + r"height:(?P\d+), " + r"kropff: " + r"a0:(?P-{0,1}\d+.+\d+|None|-{0,1}\d+.+\d+e-{0,1}\d+), " + r"b0:(?P-{0,1}\d+.+\d+|None|-{0,1}\d+.+\d+e-{0,1}\d+), " + r"a0_error:(?P\d+.+\d+|None|-{0,1}\d+.+\d+e-{0,1}\d+), " + r"b0_error:(?P\d+.+\d+|None|-{0,1}\d+.+\d+e-{0,1}\d+), " + r"ahkl:(?P-{0,1}\d+.+\d+|None|-{0,1}\d+.+\d+e-{0,1}\d+), " + r"bhkl:(?P-{0,1}\d+.+\d+|None|-{0,1}\d+.+\d+e-{0,1}\d+), " + r"ahkl_error:(?P\d+.+\d+|None|-{0,1}\d+.+\d+e-{0,1}\d+), " + r"bhkl_error:(?P\d+.+\d+|None|-{0,1}\d+.+\d+e-{0,1}\d+), " + r"ldahkl:(?P-{0,1}\d+.+\d+|None|-{0,1}\d+.+\d+e-{0,1}\d+), " + r"tau:(?P-{0,1}\d+.+\d+|None|-{0,1}\d+.+\d+e-{0,1}\d+), " + r"sigma:(?P-{0,1}\d+.+\d+|None|-{0,1}\d+.+\d+e-{0,1}\d+), " + r"ldahkl_error:(?P\d+.+\d+|None|-{0,1}\d+.+\d+e-{0,1}\d+), " + r"tau_error:(?P\d+.+\d+|None|-{0,1}\d+.+\d+e-{0,1}\d+), " + r"sigma_error:(?P\d+.+\d+|None|-{0,1}\d+.+\d+e-{0,1}\d+), " + r"march_dollase: " + r"d_spacing:(?P-{0,1}\d+.+\d+|None|-{0,1}\d+.+\d+e-{0,1}\d+), " + r"sigma:(?P-{0,1}\d+.+\d+|None|-{0,1}\d+.+\d+e-{0,1}\d+), " + r"alpha:(?P-{0,1}\d+.+\d+|None|-{0,1}\d+.+\d+e-{0,1}\d+), " + r"a1:(?P-{0,1}\d+.+\d+|None|-{0,1}\d+.+\d+e-{0,1}\d+), " + r"a2:(?P-{0,1}\d+.+\d+|None|-{0,1}\d+.+\d+e-{0,1}\d+), " + r"a5:(?P-{0,1}\d+.+\d+|None|-{0,1}\d+.+\d+e-{0,1}\d+), " + r"a6:(?P-{0,1}\d+.+\d+|None|-{0,1}\d+.+\d+e-{0,1}\d+), " + r"d_spacing_error:(?P-{0,1}\d+.+\d+|None|-{0,1}\d+.+\d+e-{0,1}\d+), " + r"sigma_error:(?P-{0,1}\d+.+\d+|None|-{0,1}\d+.+\d+e-{0,1}\d+), " + r"alpha_error:(?P-{0,1}\d+.+\d+|None|-{0,1}\d+.+\d+e-{0,1}\d+), " + r"a1_error:(?P-{0,1}\d+.+\d+|None|-{0,1}\d+.+\d+e-{0,1}\d+), " + r"a2_error:(?P-{0,1}\d+.+\d+|None|-{0,1}\d+.+\d+e-{0,1}\d+), " + r"a5_error:(?P-{0,1}\d+.+\d+|None|-{0,1}\d+.+\d+e-{0,1}\d+), " + r"a6_error:(?P-{0,1}\d+.+\d+|None|-{0,1}\d+.+\d+e-{0,1}\d+)$" + ) m = re.search(regular, line.strip()) if m: - metadata_column[m.group('column_index').strip()] = {'x0': m.group('x0'), - 'y0': m.group('y0'), - 'width': m.group('width'), - 'height': m.group('height'), - 'kropff': {'a0': m.group('a0'), - 'b0': m.group('b0'), - 'a0_error': m.group('a0_error'), - 'b0_error': m.group('b0_error'), - 'ahkl': m.group('ahkl'), - 'bhkl': m.group('bhkl'), - 'ahkl_error': m.group('ahkl_error'), - 'bhkl_error': m.group('bhkl_error'), - 'ldahkl': m.group('ldahkl'), - 'tau': m.group('tau'), - 'sigma': m.group('sigma'), - 'ldahkl_error': m.group( - 'ldahkl_error'), - 'tau_error': m.group('tau_error'), - 'sigma_error': m.group( - 'sigma_error'), - }, - 'march_dollase': { - 'd_spacing': m.group('d_spacing'), - 'sigma': m.group('sigma1'), - 'alpha': m.group('alpha'), - 'a1': m.group('a1'), - 'a2': m.group('a2'), - 'a5': m.group('a5'), - 'a6': m.group('a6'), - 'd_spacing_error': m.group( - 'd_spacing_error'), - 'sigma_error': m.group('sigma1_error'), - 'alpha_error': m.group('alpha_error'), - 'a1_error': m.group('a1_error'), - 'a2_error': m.group('a2_error'), - 'a5_error': m.group('a5_error'), - 'a6_error': m.group('a6_error'), - } - } + metadata_column[m.group("column_index").strip()] = { + "x0": m.group("x0"), + "y0": m.group("y0"), + "width": m.group("width"), + "height": m.group("height"), + "kropff": { + "a0": m.group("a0"), + "b0": m.group("b0"), + "a0_error": m.group("a0_error"), + "b0_error": m.group("b0_error"), + "ahkl": m.group("ahkl"), + "bhkl": m.group("bhkl"), + "ahkl_error": m.group("ahkl_error"), + "bhkl_error": m.group("bhkl_error"), + "ldahkl": m.group("ldahkl"), + "tau": m.group("tau"), + "sigma": m.group("sigma"), + "ldahkl_error": m.group("ldahkl_error"), + "tau_error": m.group("tau_error"), + "sigma_error": m.group("sigma_error"), + }, + "march_dollase": { + "d_spacing": m.group("d_spacing"), + "sigma": m.group("sigma1"), + "alpha": m.group("alpha"), + "a1": m.group("a1"), + "a2": m.group("a2"), + "a5": m.group("a5"), + "a6": m.group("a6"), + "d_spacing_error": m.group("d_spacing_error"), + "sigma_error": m.group("sigma1_error"), + "alpha_error": m.group("alpha_error"), + "a1_error": m.group("a1_error"), + "a2_error": m.group("a2_error"), + "a5_error": m.group("a5_error"), + "a6_error": m.group("a6_error"), + }, + } col_label.append(m.group("column_index")) line_number += 1 continue - metadata['columns'] = metadata_column - metadata['march-dollase history table'] = march_history_table - metadata['march-dollase history init'] = march_history_init + metadata["columns"] = metadata_column + metadata["march-dollase history table"] = march_history_table + metadata["march-dollase history init"] = march_history_init pd_data = pd.read_csv(full_file_name, skiprows=line_number, header=0, names=col_label) - return {'data': pd_data, 'metadata': metadata} + return {"data": pd_data, "metadata": metadata} -class ListMostDominantExtension(object): - Result = namedtuple('Result', ('list_files', 'ext', 'uniqueness')) +class ListMostDominantExtension: + Result = namedtuple("Result", ("list_files", "ext", "uniqueness")) - def __init__(self, working_dir=''): + def __init__(self, working_dir=""): self.working_dir = working_dir def get_list_of_files(self): - list_of_input_files = glob.glob(os.path.join(self.working_dir, '*')) + list_of_input_files = glob.glob(os.path.join(self.working_dir, "*")) list_of_input_files.sort() self.list_of_base_name = [os.path.basename(_file) for _file in list_of_input_files] @@ -601,7 +602,7 @@ def get_counter_of_extension(self): self.counter_extension = counter_extension def get_dominant_extension(self): - dominant_extension = '' + dominant_extension = "" dominant_number = 0 list_of_number_of_ext = [] for _key in self.counter_extension.keys(): @@ -631,23 +632,24 @@ def calculate(self): def retrieve_parameters(self): if self.uniqueness: - list_of_input_files = glob.glob(os.path.join(self.working_dir, '*' + self.dominant_extension)) + list_of_input_files = glob.glob(os.path.join(self.working_dir, "*" + self.dominant_extension)) list_of_input_files.sort() - self.result = self.Result(list_files=list_of_input_files, - ext=self.dominant_extension, - uniqueness=True) + self.result = self.Result(list_files=list_of_input_files, ext=self.dominant_extension, uniqueness=True) else: - - list_of_maj_ext = [_ext for _ext in self.counter_extension.keys() if - self.counter_extension[_ext] == self.dominant_number] - - box = widgets.HBox([widgets.Label("Select Extension to work with", - layout=widgets.Layout(width='20%')), - widgets.Dropdown(options=list_of_maj_ext, - layout=widgets.Layout(width='20%'), - value=list_of_maj_ext[0])]) + list_of_maj_ext = [ + _ext for _ext in self.counter_extension.keys() if self.counter_extension[_ext] == self.dominant_number + ] + + box = widgets.HBox( + [ + widgets.Label("Select Extension to work with", layout=widgets.Layout(width="20%")), + widgets.Dropdown( + options=list_of_maj_ext, layout=widgets.Layout(width="20%"), value=list_of_maj_ext[0] + ), + ] + ) display(box) self.dropdown_ui = box.children[1] @@ -657,9 +659,7 @@ def get_files_of_selected_ext(self): else: _ext_selected = self.dropdown_ui.value - list_of_input_files = glob.glob(os.path.join(self.working_dir, '*' + _ext_selected)) + list_of_input_files = glob.glob(os.path.join(self.working_dir, "*" + _ext_selected)) list_of_input_files.sort() - return self.Result(list_files=list_of_input_files, - ext=self.dominant_extension, - uniqueness=True) + return self.Result(list_files=list_of_input_files, ext=self.dominant_extension, uniqueness=True) diff --git a/notebooks/__code/file_metadata_display.py b/notebooks/__code/file_metadata_display.py index bd1894c3..3829d5ba 100755 --- a/notebooks/__code/file_metadata_display.py +++ b/notebooks/__code/file_metadata_display.py @@ -1,33 +1,30 @@ -from IPython.display import HTML -from IPython.display import display import numpy as np -from collections import OrderedDict - import pyqtgraph as pg +from IPython.display import HTML, display try: - from PyQt4.QtGui import QFileDialog from PyQt4 import QtCore, QtGui - from PyQt4.QtGui import QMainWindow + from PyQt4.QtGui import QFileDialog, QMainWindow except ImportError: - from PyQt5.QtWidgets import QFileDialog - from PyQt5 import QtCore, QtGui - from PyQt5.QtWidgets import QApplication, QMainWindow + from PyQt5 import QtGui + from PyQt5.QtWidgets import QMainWindow -from __code.ui_file_metadata_display import Ui_MainWindow as UiMainWindow +from __code.ui_file_metadata_display import Ui_MainWindow as UiMainWindow class Interface(QMainWindow): - exp_dict = None roi_column_width = [50, 120, 120] working_range_of_images = [] - working_range = [0,0] + working_range = [0, 0] def __init__(self, parent=None, exp_dict=None): - - display(HTML('Check UI that popped up \ - (maybe hidden behind this browser!)')) + display( + HTML( + 'Check UI that popped up \ + (maybe hidden behind this browser!)' + ) + ) self.exp_dict = exp_dict @@ -55,7 +52,7 @@ def init_display(self): row_counts = self.ui.tableWidget.rowCount() if row_counts > 0: nbr_column = self.ui.tableWidget.columnCount() - _selection_range = QtGui.QTableWidgetSelectionRange(0, 0, 0, nbr_column-1) + _selection_range = QtGui.QTableWidgetSelectionRange(0, 0, 0, nbr_column - 1) self.ui.tableWidget.setRangeSelected(_selection_range, True) self.refresh_pyqtgraph() @@ -66,8 +63,8 @@ def init_table(self): for _group_index in exp_dict.keys(): _item = exp_dict[_group_index] - _T = _item['T'] - _P = _item['P'] + _T = _item["T"] + _P = _item["P"] self.__insert_row(row=int(_group_index), T=_T, P=_P) @@ -75,7 +72,7 @@ def _set_item_value(self, row=0, column=0, value=-1): _item = QtGui.QTableWidgetItem(str(value)) self.ui.tableWidget.setItem(row, column, _item) - def __insert_row(self, row=0, T='N/A', P='N/A'): + def __insert_row(self, row=0, T="N/A", P="N/A"): self.ui.tableWidget.insertRow(row) self._set_item_value(row, 0, str(row)) self._set_item_value(row, 1, T) @@ -95,9 +92,9 @@ def table_widget_selection_changed(self): exp_dict = self.exp_dict working_range_of_images = [] - for row in np.arange(from_group, to_group+1): + for row in np.arange(from_group, to_group + 1): group = str(row) - _data = exp_dict[group]['working_image']['image'] + _data = exp_dict[group]["working_image"]["image"] working_range_of_images.append(_data) self.working_range = [from_group, to_group] @@ -129,8 +126,8 @@ def refresh_pyqtgraph(self, slider_value=-1): # update labels on top of image display _current_dict = self.exp_dict[str(slider_value)] - _T = _current_dict['T'] - _P = _current_dict['P'] + _T = _current_dict["T"] + _P = _current_dict["P"] self.ui.para_1_value.setText(_T) self.ui.para_2_value.setText(_P) @@ -145,7 +142,7 @@ def _get_item_value(self, row, column): if _item: return str(_item.text()) else: - return '' + return "" def export_button_clicked(self): # pop up select folder dialog box @@ -159,4 +156,3 @@ def close_clicked(self): def closeEvent(self, eventhere=None): pass - diff --git a/notebooks/__code/file_name_and_metadata_vs_time_stamp.py b/notebooks/__code/file_name_and_metadata_vs_time_stamp.py index aa98ef61..32b1f84f 100755 --- a/notebooks/__code/file_name_and_metadata_vs_time_stamp.py +++ b/notebooks/__code/file_name_and_metadata_vs_time_stamp.py @@ -1,31 +1,30 @@ -import pandas as pd -import numpy as np -from pprint import pprint -from ipywidgets import widgets -from IPython.display import display, HTML -import matplotlib.pyplot as plt +import datetime import os import sys import time -import datetime +from pprint import pprint +import matplotlib.pyplot as plt +import numpy as np +import pandas as pd +from IPython.display import HTML, display +from ipywidgets import widgets from plotly.offline import init_notebook_mode, iplot + init_notebook_mode() import plotly.graph_objs as go from __code import file_handler -from __code.ipywe import myfileselector as filesector - -class FileNameMetadataTimeStamp(object): +class FileNameMetadataTimeStamp: def __init__(self, working_dir): self.working_dir = working_dir - if sys.platform == 'darwin': - self.my_system = 'mac' + if sys.platform == "darwin": + self.my_system = "mac" else: - self.my_system = 'not_mac' + self.my_system = "not_mac" # sample images self.timestamp_array = [] @@ -45,18 +44,21 @@ def __init__(self, working_dir): self.pandas_format = None def select_image_folder(self): - self.folder_ui = ipywe.fileselector.FileSelectorPanel(instruction='Select Raw Image Folder ...', - start_dir=self.working_dir, - type='directory') + self.folder_ui = ipywe.fileselector.FileSelectorPanel( + instruction="Select Raw Image Folder ...", start_dir=self.working_dir, type="directory" + ) self.folder_ui.show() - display(HTML( - 'Make sure you select the Raw untouched (not copied) sample folder!')) + display( + HTML( + 'Make sure you select the Raw untouched (not copied) sample folder!' + ) + ) def select_metadata_file(self): self.sample_environment_file_ui = ipywe.fileselector.FileSelectorPanel( - instruction='Select Sample Environment File ...', - start_dir=self.working_dir) + instruction="Select Sample Environment File ...", start_dir=self.working_dir + ) self.sample_environment_file_ui.show() def format_files(self, metadata_header=[]): @@ -72,14 +74,12 @@ def merging_formated_files(self): metadata_array.head() # set the first column as the index - file_name_array = file_name_array.set_index('index') - metadata_array = metadata_array.set_index('index') + file_name_array = file_name_array.set_index("index") + metadata_array = metadata_array.set_index("index") - time_stamp_metadata_file_name_merged = pd.merge(file_name_array, - metadata_array, - left_index=True, - right_index=True, - how='outer') + time_stamp_metadata_file_name_merged = pd.merge( + file_name_array, metadata_array, left_index=True, right_index=True, how="outer" + ) if self.verbose: pprint(time_stamp_metadata_file_name_merged) @@ -87,9 +87,9 @@ def merging_formated_files(self): # extract file name vs temperature time_stamp_array = np.array(time_stamp_metadata_file_name_merged.index) file_name_array = np.array( - time_stamp_metadata_file_name_merged[time_stamp_metadata_file_name_merged.columns[0]]) - metadata_array = np.array( - time_stamp_metadata_file_name_merged[time_stamp_metadata_file_name_merged.columns[1]]) + time_stamp_metadata_file_name_merged[time_stamp_metadata_file_name_merged.columns[0]] + ) + metadata_array = np.array(time_stamp_metadata_file_name_merged[time_stamp_metadata_file_name_merged.columns[1]]) # calculate equivalent metadata for each file self.file_name_vs_metadata_array = [] # 'file_name, metadata, time_stamp @@ -99,13 +99,13 @@ def merging_formated_files(self): # display(w1) for _index, _file in enumerate(file_name_array): - if _file is np.NaN: + if _file is np.nan: continue if np.isnan(metadata_array[_index]): - _metadata = self.__extract_metadata(index=_index, - metadata_array=metadata_array, - time_stamp_array=time_stamp_array) + _metadata = self.__extract_metadata( + index=_index, metadata_array=metadata_array, time_stamp_array=time_stamp_array + ) else: _metadata = metadata_array[_index] @@ -117,39 +117,37 @@ def merging_formated_files(self): if self.verbose: pprint(self.file_name_vs_metadata_array) - def __calculate_file_metadata(self, left_meta=-1, right_meta=-1, left_time=-1, right_time=-1, file_time=-1): coeff = (float(right_meta) - float(left_meta)) / (float(right_time) - float(left_time)) part1 = coeff * (float(file_time) - float(left_time)) return part1 + float(left_meta) - def __get_first_metadata_and_index_value(self, index=-1, data_array=[], direction='left'): - if direction == 'left': + def __get_first_metadata_and_index_value(self, index=-1, data_array=[], direction="left"): + if direction == "left": coeff = -1 else: coeff = 1 - while (np.isnan(data_array[index])): + while np.isnan(data_array[index]): index += coeff return [data_array[index], index] def __extract_metadata(self, index=-1, metadata_array=[], time_stamp_array=[]): - - [left_meta, left_index] = self.__get_first_metadata_and_index_value(index=index, data_array=metadata_array, - direction='left') - [right_meta, right_index] = self.__get_first_metadata_and_index_value(index=index, data_array=metadata_array, - direction='right') + [left_meta, left_index] = self.__get_first_metadata_and_index_value( + index=index, data_array=metadata_array, direction="left" + ) + [right_meta, right_index] = self.__get_first_metadata_and_index_value( + index=index, data_array=metadata_array, direction="right" + ) left_time = time_stamp_array[left_index] right_time = time_stamp_array[right_index] file_time = time_stamp_array[index] - file_metadata = self.__calculate_file_metadata(left_meta=left_meta, - right_meta=right_meta, - left_time=left_time, - right_time=right_time, - file_time=file_time) + file_metadata = self.__calculate_file_metadata( + left_meta=left_meta, right_meta=right_meta, left_time=left_time, right_time=right_time, file_time=file_time + ) return file_metadata @@ -161,7 +159,7 @@ def format_metadata_infos(self, header=[]): # retrieve time and metadata from file self.sample_environment_file = self.sample_environment_file_ui.selected - df = pd.read_csv(self.sample_environment_file, sep='\t', names=header) + df = pd.read_csv(self.sample_environment_file, sep="\t", names=header) df = df.reset_index() try: @@ -170,30 +168,31 @@ def format_metadata_infos(self, header=[]): pass # removing useless columns - if self.my_system == 'mac': - time_stamp_metadata = df.drop(df.columns[[1, 2, 3, 4, 5, 6, 7, 8, 10, 11, 12, 13, 14, 15, 16, 17, 18]], - axis=1) + if self.my_system == "mac": + time_stamp_metadata = df.drop( + df.columns[[1, 2, 3, 4, 5, 6, 7, 8, 10, 11, 12, 13, 14, 15, 16, 17, 18]], axis=1 + ) else: - time_stamp_metadata = df[['time_stamp', 'OT\ Temp']] + time_stamp_metadata = df[["time_stamp", r"OT\ Temp"]] if self.verbose: pprint("") pprint(time_stamp_metadata.head()) fig = plt.figure() - if self.my_system == 'mac': - df['OT Temp'].plot() + if self.my_system == "mac": + df["OT Temp"].plot() else: - df['OT\ Temp'].plot() + df[r"OT\ Temp"].plot() # convert to pandas time format - time_stamp_metadata['index'] = pd.to_datetime(time_stamp_metadata['index']) + time_stamp_metadata["index"] = pd.to_datetime(time_stamp_metadata["index"]) if self.verbose: pprint("") pprint(time_stamp_metadata.head()) # convert to time stamp new_df_2 = time_stamp_metadata - new_df_2['index'] = time_stamp_metadata['index'].apply(self.conv) + new_df_2["index"] = time_stamp_metadata["index"].apply(self.conv) self.final_time_stamp_metadata = new_df_2 @@ -201,10 +200,10 @@ def format_metadata_infos(self, header=[]): pprint("") pprint(new_df_2.head()) - progress_label.value = 'Formatting metadata file .......... DONE!' + progress_label.value = "Formatting metadata file .......... DONE!" def conv(self, x): - return time.mktime(datetime.datetime.strptime(str(x), "%Y-%m-%d %H:%M:%S").timetuple()) + return time.mktime(datetime.datetime.strptime(str(x), "%Y-%m-%d %H:%M:%S").timetuple()) def format_image_infos(self): self.input_folder = self.folder_ui.selected @@ -223,41 +222,41 @@ def format_image_infos(self): timestamp_array.append(time_stamp) list_base_file_name.append(os.path.basename(_file)) - progress_label.value = 'Retrieving Time Stamp .......... DONE!' + progress_label.value = "Retrieving Time Stamp .......... DONE!" - data = list(zip(timestamp_array, list_base_file_name)) - self.time_stamp_vs_file_name = pd.DataFrame(data, columns=['index', 'file_name']) + data = list(zip(timestamp_array, list_base_file_name, strict=False)) + self.time_stamp_vs_file_name = pd.DataFrame(data, columns=["index", "file_name"]) self.timestamp_array = timestamp_array self.list_base_file_name = list_base_file_name def prepare_data_for_export(self): self.pandas_format = pd.DataFrame(self.file_name_vs_metadata_array) - self.pandas_format.rename(columns={0: 'file_name', 1: 'Metadata', 2: 'time'}, inplace=True) + self.pandas_format.rename(columns={0: "file_name", 1: "Metadata", 2: "time"}, inplace=True) def preview(self): self.prepare_data_for_export() - self.metadata_array = self.pandas_format['Metadata'] - self.time_array = self.pandas_format['time'] + self.metadata_array = self.pandas_format["Metadata"] + self.time_array = self.pandas_format["time"] self.file_index = self.pandas_format.index self.preview_metadata_vs_file_index() self.preview_metadata_vs_relative_time() def preview_metadata_vs_file_index(self): - trace = go.Scatter(x=self.file_index, - y=self.metadata_array, - mode='markers', - name='Metadata Profile vs File Index') - - layout = go.Layout(width="100%", - height=500, - showlegend=False, - title='Profile of Metadata vs File Index', - xaxis={'title': 'File Index'}, - yaxis={'title': 'Metadata Value'}, - ) + trace = go.Scatter( + x=self.file_index, y=self.metadata_array, mode="markers", name="Metadata Profile vs File Index" + ) + + layout = go.Layout( + width="100%", + height=500, + showlegend=False, + title="Profile of Metadata vs File Index", + xaxis={"title": "File Index"}, + yaxis={"title": "Metadata Value"}, + ) data = [trace] figure = go.Figure(data=data, layout=layout) @@ -266,27 +265,27 @@ def preview_metadata_vs_file_index(self): def preview_metadata_vs_relative_time(self): time_offset_axis = (self.time_array - self.time_array[0]) / 60 - trace = go.Scatter(x=time_offset_axis, - y=self.metadata_array, - mode='markers', - name='Metadata Profile vs Relative Time(s)') + trace = go.Scatter( + x=time_offset_axis, y=self.metadata_array, mode="markers", name="Metadata Profile vs Relative Time(s)" + ) - layout = go.Layout(width="100%", - height=500, - showlegend=False, - title='Profile of Metadata vs File Index', - xaxis={'title': 'time offset (mn)'}, - yaxis={'title': 'Metadata Value'}, - ) + layout = go.Layout( + width="100%", + height=500, + showlegend=False, + title="Profile of Metadata vs File Index", + xaxis={"title": "time offset (mn)"}, + yaxis={"title": "Metadata Value"}, + ) data = [trace] figure = go.Figure(data=data, layout=layout) iplot(figure) def select_export_folder(self): - self.output_folder_ui = ipywe.fileselector.FileSelectorPanel(instruction='Select output Folder ...', - start_dir=self.working_dir, - type='directory') + self.output_folder_ui = ipywe.fileselector.FileSelectorPanel( + instruction="Select output Folder ...", start_dir=self.working_dir, type="directory" + ) self.output_folder_ui.show() def export(self): @@ -295,8 +294,8 @@ def export(self): [short_metatadata_file_name, _] = os.path.splitext(os.path.basename(self.sample_environment_file)) sample_folder_name = os.path.basename(self.input_folder) - file_name = "{}_vs_{}.txt".format(sample_folder_name, short_metatadata_file_name) + file_name = f"{sample_folder_name}_vs_{short_metatadata_file_name}.txt" output_file_name = os.path.abspath(os.path.join(output_folder, file_name)) self.pandas_format.to_csv(output_file_name) - pprint("Created File: {}".format(output_file_name)) \ No newline at end of file + pprint(f"Created File: {output_file_name}") diff --git a/notebooks/__code/fix_images.py b/notebooks/__code/fix_images.py index 51cadade..967267b8 100755 --- a/notebooks/__code/fix_images.py +++ b/notebooks/__code/fix_images.py @@ -1,24 +1,18 @@ import os from collections import namedtuple -import numpy as np - -from ipywidgets import widgets import matplotlib.pyplot as plt - -from IPython.display import display -from IPython.display import HTML - -from NeuNorm.normalization import Normalization -from __code.file_folder_browser import FileFolderBrowser -from __code.file_handler import save_data, make_folder - +import numpy as np from IPython import display as display_ipython +from IPython.display import HTML, display +from ipywidgets import widgets +from NeuNorm.normalization import Normalization +from __code.file_folder_browser import FileFolderBrowser +from __code.file_handler import make_folder, save_data class FixImages(FileFolderBrowser): - list_files = [] data = [] data_corrected = [] @@ -32,19 +26,18 @@ class FixImages(FileFolderBrowser): counter = 0 index_image_selected = 0 - Statistics = namedtuple('Statistics', - 'total_pixels nbr_negative percentage_negative nbr_infinite percentage_infinite nbr_nan percentage_nan') - DropdownSelection = namedtuple('DropdownSelection', 'neg inf nan') + Statistics = namedtuple( + "Statistics", + "total_pixels nbr_negative percentage_negative nbr_infinite percentage_infinite nbr_nan percentage_nan", + ) + DropdownSelection = namedtuple("DropdownSelection", "neg inf nan") - dropdown_selection = DropdownSelection(neg='NaN', - inf='NaN', - nan='NaN') + dropdown_selection = DropdownSelection(neg="NaN", inf="NaN", nan="NaN") - def __init__(self, working_dir=''): + def __init__(self, working_dir=""): super(FixImages, self).__init__(working_dir=working_dir) def load(self): - self.list_files = self.list_images_ui.selected data = [] @@ -54,10 +47,9 @@ def load(self): display(w) for _index, _file in enumerate(self.list_files): - _o_norm = Normalization() _o_norm.load(file=_file) - _data = _o_norm.data['sample']['data'][0] + _data = _o_norm.data["sample"]["data"][0] data.append(_data) w.value = _index + 1 @@ -66,12 +58,10 @@ def load(self): w.close() def give_statistics(self): - data = self.data list_files = self.list_files def __give_statistics(index): - def get_statistics_of_roi_cleaned(data): _data = data _result = np.where(_data < 0) @@ -88,13 +78,15 @@ def get_statistics_of_roi_cleaned(data): nbr_nan = len(nan_values[0]) percentage_nan = (nbr_nan / total) * 100 - stat = self.Statistics(total_pixels=total, - nbr_negative=nbr_negative, - percentage_negative=percentage_negative, - nbr_infinite=nbr_inf, - percentage_infinite=percentage_inf, - nbr_nan=nbr_nan, - percentage_nan=percentage_nan) + stat = self.Statistics( + total_pixels=total, + nbr_negative=nbr_negative, + percentage_negative=percentage_negative, + nbr_infinite=nbr_inf, + percentage_infinite=percentage_inf, + nbr_nan=nbr_nan, + percentage_nan=percentage_nan, + ) return stat _file = os.path.basename(list_files[index]) @@ -110,39 +102,48 @@ def get_statistics_of_roi_cleaned(data): nan_values = stat.nbr_nan nan_percentage = stat.percentage_nan - box1 = widgets.HBox([widgets.Label("File Name:"), - widgets.Label(_file, - layout=widgets.Layout(width='80%'))]) - box2 = widgets.HBox([widgets.Label("Total number of pixels:", - layout=widgets.Layout(width='15%')), - widgets.Label(str(number_of_pixels))]) - - box3 = widgets.HBox([widgets.Label("Negative values:", - layout=widgets.Layout(width='30%')), - widgets.Label("{} pixels ({:.3}%)".format(negative_values, negative_percentage), - layout=widgets.Layout(width='15%'))]) - - box4 = widgets.HBox([widgets.Label("Infinite values:", - layout=widgets.Layout(width='30%')), - widgets.Label("{} pixels ({:.3}%)".format(infinite_values, infinite_percentage), - layout=widgets.Layout(width='15%'))]) - - box5 = widgets.HBox([widgets.Label("NaN values:", - layout=widgets.Layout(width='30%')), - widgets.Label("{} pixels ({:.3}%)".format(nan_values, nan_percentage), - layout=widgets.Layout(width='15%'))]) + box1 = widgets.HBox([widgets.Label("File Name:"), widgets.Label(_file, layout=widgets.Layout(width="80%"))]) + box2 = widgets.HBox( + [ + widgets.Label("Total number of pixels:", layout=widgets.Layout(width="15%")), + widgets.Label(str(number_of_pixels)), + ] + ) + + box3 = widgets.HBox( + [ + widgets.Label("Negative values:", layout=widgets.Layout(width="30%")), + widgets.Label( + f"{negative_values} pixels ({negative_percentage:.3}%)", layout=widgets.Layout(width="15%") + ), + ] + ) + + box4 = widgets.HBox( + [ + widgets.Label("Infinite values:", layout=widgets.Layout(width="30%")), + widgets.Label( + f"{infinite_values} pixels ({infinite_percentage:.3}%)", layout=widgets.Layout(width="15%") + ), + ] + ) + + box5 = widgets.HBox( + [ + widgets.Label("NaN values:", layout=widgets.Layout(width="30%")), + widgets.Label(f"{nan_values} pixels ({nan_percentage:.3}%)", layout=widgets.Layout(width="15%")), + ] + ) vertical_box = widgets.VBox([box1, box2, box3, box4, box5]) display(vertical_box) - tmp3 = widgets.interact(__give_statistics, - index=widgets.IntSlider(min=0, - max=len(list_files) - 1, - step=1, - value=0, - description='File Index', - continuous_update=False), - ) + tmp3 = widgets.interact( + __give_statistics, + index=widgets.IntSlider( + min=0, max=len(list_files) - 1, step=1, value=0, description="File Index", continuous_update=False + ), + ) def display_and_fix(self): self.fix() @@ -151,7 +152,6 @@ def display_and_fix(self): self.plot() def plot(self, refresh=False): - if refresh: self.correct_data() @@ -160,11 +160,10 @@ def plot(self, refresh=False): _data_corrected = self.data_corrected[index] _file = self.list_files[index] - self.fig, [[self.ax0, self.ax1], [self.ax2, self.ax3]] = plt.subplots(ncols=2, nrows=2, - figsize=(15, 10)) + self.fig, [[self.ax0, self.ax1], [self.ax2, self.ax3]] = plt.subplots(ncols=2, nrows=2, figsize=(15, 10)) # plt.title(os.path.basename(_files[index])) - cax0 = self.ax0.imshow(_raw_data, cmap='viridis', interpolation=None) + cax0 = self.ax0.imshow(_raw_data, cmap="viridis", interpolation=None) self.ax0.set_title("Raw Image") tmp1 = self.fig.colorbar(cax0, ax=self.ax0) # colorbar @@ -176,15 +175,12 @@ def plot(self, refresh=False): self.ax1.set_title("Raw Histogram") # corrected data - cax2 = self.ax2.imshow(_data_corrected, cmap='viridis', interpolation=None) + cax2 = self.ax2.imshow(_data_corrected, cmap="viridis", interpolation=None) self.ax2.set_title("New Image") tmp1 = self.fig.colorbar(cax2, ax=self.ax2) # colorbar # self.ax3.hist(_data.ravel(), range=(np.nanmin(_data), np.nanmax(_data)), bins=256) - self.ax3.hist(_data_corrected.ravel(), - range=(np.nanmin(_data_corrected), - np.nanmax(_data_corrected)), - bins=256) + self.ax3.hist(_data_corrected.ravel(), range=(np.nanmin(_data_corrected), np.nanmax(_data_corrected)), bins=256) self.ax3.set_title("New Histogram") self.fig.tight_layout() @@ -195,16 +191,17 @@ def plot(self, refresh=False): display_ipython.clear_output(wait=True) if histo_error: - display(HTML( - 'Histogram of raw images can not be displayed!')) + display( + HTML('Histogram of raw images can not be displayed!') + ) if refresh: self.fix() def neg_on_change(self, change): if self.counter == 0: - _new_index = change['new']['index'] - _list = change['owner'].options + _new_index = change["new"]["index"] + _list = change["owner"].options _new_selection = _list[_new_index] self.dropdown_selection = self.dropdown_selection._replace(neg=_new_selection) self.counter += 1 @@ -216,8 +213,8 @@ def neg_on_change(self, change): def inf_on_change(self, change): if self.counter == 0: - _new_index = change['new']['index'] - _list = change['owner'].options + _new_index = change["new"]["index"] + _list = change["owner"].options _new_selection = _list[_new_index] self.dropdown_selection = self.dropdown_selection._replace(inf=_new_selection) self.counter += 1 @@ -229,8 +226,8 @@ def inf_on_change(self, change): def nan_on_change(self, change): if self.counter == 0: - _new_index = change['new']['index'] - _list = change['owner'].options + _new_index = change["new"]["index"] + _list = change["owner"].options _new_selection = _list[_new_index] self.dropdown_selection = self.dropdown_selection._replace(nan=_new_selection) self.counter += 1 @@ -242,7 +239,7 @@ def nan_on_change(self, change): def index_on_change(self, change): if self.counter == 0: - _new_value = change['new']['value'] + _new_value = change["new"]["value"] self.counter += 1 self.index_image_selected = _new_value self.plot(refresh=True) @@ -252,36 +249,46 @@ def index_on_change(self, change): self.counter += 1 def fix(self): - - box2 = widgets.HBox([widgets.Label("File Index:", - layout=widgets.Layout(width='20%')), - widgets.IntSlider(value=self.index_image_selected, - max=len(self.list_files)-1, - continuous_update=False, - layout=widgets.Layout(width='20%'))]) + box2 = widgets.HBox( + [ + widgets.Label("File Index:", layout=widgets.Layout(width="20%")), + widgets.IntSlider( + value=self.index_image_selected, + max=len(self.list_files) - 1, + continuous_update=False, + layout=widgets.Layout(width="20%"), + ), + ] + ) index_slider = box2.children[1] index_slider.observe(self.index_on_change) - box3 = widgets.HBox([widgets.Label("Replace Negative values by", - layout=widgets.Layout(width='20%')), - widgets.Dropdown(options=['NaN', '0'], - value=self.dropdown_selection.neg)]) + box3 = widgets.HBox( + [ + widgets.Label("Replace Negative values by", layout=widgets.Layout(width="20%")), + widgets.Dropdown(options=["NaN", "0"], value=self.dropdown_selection.neg), + ] + ) neg_widget = box3.children[1] neg_widget.observe(self.neg_on_change) - box4 = widgets.HBox([widgets.Label("Replace Infinite values by", - layout=widgets.Layout(width='20%')), - widgets.Dropdown(options=['NaN', '0'], - value=self.dropdown_selection.inf)]) + box4 = widgets.HBox( + [ + widgets.Label("Replace Infinite values by", layout=widgets.Layout(width="20%")), + widgets.Dropdown(options=["NaN", "0"], value=self.dropdown_selection.inf), + ] + ) inf_widget = box4.children[1] inf_widget.observe(self.inf_on_change) - box5 = widgets.HBox([widgets.Label("Replace NaN values by", - layout=widgets.Layout(width='20%')), - widgets.Dropdown(options=['NaN', '0'], - value=self.dropdown_selection.nan)]) + box5 = widgets.HBox( + [ + widgets.Label("Replace NaN values by", layout=widgets.Layout(width="20%")), + widgets.Dropdown(options=["NaN", "0"], value=self.dropdown_selection.nan), + ] + ) nan_widget = box5.children[1] nan_widget.observe(self.nan_on_change) @@ -290,7 +297,6 @@ def fix(self): display(vertical_box) def correct_data(self): - _data = self.data.copy() _index = self.index_image_selected @@ -298,22 +304,22 @@ def correct_data(self): # inf _result_inf = np.where(np.isinf(_data_corrected)) - if self.dropdown_selection.inf == 'NaN': - _data_corrected[_result_inf] = np.NaN + if self.dropdown_selection.inf == "NaN": + _data_corrected[_result_inf] = np.nan else: _data_corrected[_result_inf] = 0 # nan _result_nan = np.where(np.isnan(_data_corrected)) - if self.dropdown_selection.nan == 'NaN': + if self.dropdown_selection.nan == "NaN": pass else: _data_corrected[_result_nan] = 0 # neg _result_neg = np.where(_data_corrected < 0) - if self.dropdown_selection.neg == 'NaN': - _data_corrected[_result_neg] = np.NaN + if self.dropdown_selection.neg == "NaN": + _data_corrected[_result_neg] = np.nan else: _data_corrected[_result_neg] = 0 @@ -323,7 +329,7 @@ def correct_data(self): def export(self, output_folder): base_input_folder = os.path.basename(os.path.dirname(os.path.abspath(self.list_files[0]))) - new_folder_name = base_input_folder + '_cleaned' + new_folder_name = base_input_folder + "_cleaned" output_folder = os.path.join(output_folder, new_folder_name) make_folder(output_folder) @@ -335,7 +341,9 @@ def export(self, output_folder): save_data(data=_data, filename=_full_output_file_name) - display(HTML('Files have been created in ' + output_folder + '')) + display( + HTML('Files have been created in ' + output_folder + "") + ) def select_folder_and_export_images(self): self.next_function = self.export diff --git a/notebooks/__code/fix_images_with_negative_pixels.py b/notebooks/__code/fix_images_with_negative_pixels.py index a54b8e68..3afc2c78 100755 --- a/notebooks/__code/fix_images_with_negative_pixels.py +++ b/notebooks/__code/fix_images_with_negative_pixels.py @@ -1,33 +1,28 @@ import os from collections import namedtuple -import numpy as np - -from ipywidgets import widgets -import matplotlib.pyplot as plt import matplotlib.patches as patches - -from IPython.display import display -from IPython.display import HTML - +import matplotlib.pyplot as plt +import numpy as np +from IPython.display import HTML, display +from ipywidgets import widgets from NeuNorm.normalization import Normalization + from __code.file_folder_browser import FileFolderBrowser -from __code.file_handler import save_data, make_folder +from __code.file_handler import make_folder, save_data -class FixImages(FileFolderBrowser): +class FixImages(FileFolderBrowser): list_files = [] data = [] full_statistics = {} - Statistics = namedtuple('Statistics', - 'nbr_pixel_modified percentage_pixel_modified total_pixels') + Statistics = namedtuple("Statistics", "nbr_pixel_modified percentage_pixel_modified total_pixels") - def __init__(self, working_dir=''): + def __init__(self, working_dir=""): super(FixImages, self).__init__(working_dir=working_dir) def load(self): - self.list_files = self.list_images_ui.selected data = [] @@ -37,10 +32,9 @@ def load(self): display(w) for _index, _file in enumerate(self.list_files): - _o_norm = Normalization() _o_norm.load(file=_file) - _data = _o_norm.data['sample']['data'][0] + _data = _o_norm.data["sample"]["data"][0] data.append(_data) w.value = _index + 1 @@ -48,64 +42,62 @@ def load(self): w.close() def display(self): - _data = self.data _files = self.list_files + def _plot_images(index): fig, ax_img = plt.subplots() plt.title(os.path.basename(_files[index])) - cax = ax_img.imshow(_data[index], cmap='viridis', interpolation=None) + cax = ax_img.imshow(_data[index], cmap="viridis", interpolation=None) # add colorbar cbar = fig.colorbar(cax) - _ = widgets.interact(_plot_images, - index=widgets.IntSlider(min=0, - max=len(self.list_files) - 1, - step=1, - value=0, - description='File Index', - continuous_update=False)) + _ = widgets.interact( + _plot_images, + index=widgets.IntSlider( + min=0, max=len(self.list_files) - 1, step=1, value=0, description="File Index", continuous_update=False + ), + ) def remove_negative_values(self): - clean_data = [] full_statistics = {} for _index, _data in enumerate(self.data): _result = np.where(_data < 0) new_data = _data.copy() - new_data[_result] = np.NaN + new_data[_result] = np.nan clean_data.append(new_data) _nbr_pixel_modified = len(_result[0]) - _total_pixels = np.size(_data) + _total_pixels = np.size(_data) _percentage = (_nbr_pixel_modified / _total_pixels) * 100 - _stat = self.Statistics(nbr_pixel_modified=_nbr_pixel_modified, - percentage_pixel_modified=_percentage, - total_pixels=_total_pixels) + _stat = self.Statistics( + nbr_pixel_modified=_nbr_pixel_modified, + percentage_pixel_modified=_percentage, + total_pixels=_total_pixels, + ) full_statistics[_index] = _stat self.clean_data = clean_data self.full_statistics = full_statistics def get_statistics_of_roi_cleaned(self, x_left, y_top, height, width, data): - - _data = data[y_top:y_top+height, x_left:x_left+width] + _data = data[y_top : y_top + height, x_left : x_left + width] _result = np.where(_data < 0) nbr_negative_in_roi = len(_result[0]) total = width * height percentage_in_roi = (nbr_negative_in_roi / total) * 100 - stat = self.Statistics(nbr_pixel_modified=nbr_negative_in_roi, - percentage_pixel_modified=percentage_in_roi, - total_pixels=total) + stat = self.Statistics( + nbr_pixel_modified=nbr_negative_in_roi, percentage_pixel_modified=percentage_in_roi, total_pixels=total + ) return stat def display_images(self): - _data = self.data _clean_data = self.clean_data _files = self.list_files @@ -114,89 +106,58 @@ def display_images(self): [height, width] = np.shape(self.data[0]) def _plot_images(index, x_left, y_top, width, height): - _file_name = _files[index] - fig, (ax0, ax1) = plt.subplots(ncols=2, - figsize=(10, 5), - num=os.path.basename(_file_name)) + fig, (ax0, ax1) = plt.subplots(ncols=2, figsize=(10, 5), num=os.path.basename(_file_name)) _stat = _full_statistics[index] - #plt.title(os.path.basename(_files[index])) - cax0 = ax0.imshow(_data[index], cmap='viridis', interpolation=None) + # plt.title(os.path.basename(_files[index])) + cax0 = ax0.imshow(_data[index], cmap="viridis", interpolation=None) ax0.set_title("Before Correction") - tmp1 = fig.colorbar(cax0, ax=ax0) # colorbar - _rectangle1 = patches.Rectangle((x_left, y_top), - width, - height, - edgecolor='white', - linewidth=2, - fill=False) + tmp1 = fig.colorbar(cax0, ax=ax0) # colorbar + _rectangle1 = patches.Rectangle((x_left, y_top), width, height, edgecolor="white", linewidth=2, fill=False) ax1.add_patch(_rectangle1) - cax1 = ax1.imshow(_clean_data[index], cmap='viridis', interpolation=None) + cax1 = ax1.imshow(_clean_data[index], cmap="viridis", interpolation=None) ax1.set_title("After Correction") - tmp2 = fig.colorbar(cax1, ax=ax1) # colorbar - _rectangle2 = patches.Rectangle((x_left, y_top), - width, - height, - edgecolor='white', - linewidth=2, - fill=False) + tmp2 = fig.colorbar(cax1, ax=ax1) # colorbar + _rectangle2 = patches.Rectangle((x_left, y_top), width, height, edgecolor="white", linewidth=2, fill=False) ax0.add_patch(_rectangle2) fig.tight_layout() print("STATISTICS of FULL REGION") - print("-> Number of pixels corrected: {}".format(_stat.nbr_pixel_modified)) - print("-> Total number of pixels: {}".format(_stat.total_pixels)) - print("-> Percentage of pixels corrected: {:.3}%".format(_stat.percentage_pixel_modified)) + print(f"-> Number of pixels corrected: {_stat.nbr_pixel_modified}") + print(f"-> Total number of pixels: {_stat.total_pixels}") + print(f"-> Percentage of pixels corrected: {_stat.percentage_pixel_modified:.3}%") print("") - _stat_roi = self.get_statistics_of_roi_cleaned(x_left, y_top, - height, - width, - _data[index]) + _stat_roi = self.get_statistics_of_roi_cleaned(x_left, y_top, height, width, _data[index]) print("STATISTICS of SELECTED REGION") - print("-> Number of pixels corrected: {}".format(_stat_roi.nbr_pixel_modified)) - print("-> Total number of pixels: {}".format(_stat_roi.total_pixels)) - print("-> Percentage of pixels corrected: {:.3}%".format(_stat_roi.percentage_pixel_modified)) - - tmp3 = widgets.interact(_plot_images, - index=widgets.IntSlider(min=0, - max=len(self.list_files) - 1, - step=1, - value=0, - description='File Index', - continuous_update=False), - x_left=widgets.IntSlider(min=0, - max=width - 1, - step=1, - value=0, - description='X Left', - continuous_update=False), - y_top=widgets.IntSlider(min=0, - max=height - 1, - value=0, - step=1, - description='Y Top', - continuous_update=False), - width=widgets.IntSlider(min=0, - max=width - 1, - step=1, - value=60, - description="Width", - continuous_update=False), - height=widgets.IntSlider(min=0, - max=height - 1, - step=1, - value=100, - description='Height', - continuous_update=False) - ) + print(f"-> Number of pixels corrected: {_stat_roi.nbr_pixel_modified}") + print(f"-> Total number of pixels: {_stat_roi.total_pixels}") + print(f"-> Percentage of pixels corrected: {_stat_roi.percentage_pixel_modified:.3}%") + + tmp3 = widgets.interact( + _plot_images, + index=widgets.IntSlider( + min=0, max=len(self.list_files) - 1, step=1, value=0, description="File Index", continuous_update=False + ), + x_left=widgets.IntSlider( + min=0, max=width - 1, step=1, value=0, description="X Left", continuous_update=False + ), + y_top=widgets.IntSlider( + min=0, max=height - 1, value=0, step=1, description="Y Top", continuous_update=False + ), + width=widgets.IntSlider( + min=0, max=width - 1, step=1, value=60, description="Width", continuous_update=False + ), + height=widgets.IntSlider( + min=0, max=height - 1, step=1, value=100, description="Height", continuous_update=False + ), + ) def display_images_pretty(self): - _data = self.data _clean_data = self.clean_data _files = self.list_files @@ -207,28 +168,25 @@ def display_images_pretty(self): def _plot_images(index): _file_name = _files[index] - fig = plt.figure(figsize=(7,7)) + fig = plt.figure(figsize=(7, 7)) ax0 = plt.subplot(111) ax0.set_title(os.path.basename(_file_name)) - cax0 = ax0.imshow(_clean_data[index], cmap='viridis', interpolation=None) + cax0 = ax0.imshow(_clean_data[index], cmap="viridis", interpolation=None) tmp2 = fig.colorbar(cax0, ax=ax0) # colorbar fig.tight_layout() - tmp3 = widgets.interact(_plot_images, - index=widgets.IntSlider(min=0, - max=len(self.list_files) - 1, - step=1, - value=0, - description='File Index', - continuous_update=False), - ) - + tmp3 = widgets.interact( + _plot_images, + index=widgets.IntSlider( + min=0, max=len(self.list_files) - 1, step=1, value=0, description="File Index", continuous_update=False + ), + ) def export(self): output_folder = os.path.abspath(self.list_output_folders_ui.selected) base_input_folder = os.path.basename(os.path.dirname(os.path.abspath(self.list_files[0]))) - new_folder_name = base_input_folder + '_cleaned' + new_folder_name = base_input_folder + "_cleaned" output_folder = os.path.join(output_folder, new_folder_name) make_folder(output_folder) @@ -240,4 +198,6 @@ def export(self): save_data(data=_data, filename=_full_output_file_name) - display(HTML('Files have been created in ' + output_folder + '')) \ No newline at end of file + display( + HTML('Files have been created in ' + output_folder + "") + ) diff --git a/notebooks/__code/frederick_ipts.py b/notebooks/__code/frederick_ipts.py index 213f4ed7..60e8030b 100755 --- a/notebooks/__code/frederick_ipts.py +++ b/notebooks/__code/frederick_ipts.py @@ -1,49 +1,42 @@ -from collections import OrderedDict -import numpy as np import os import re +from collections import OrderedDict +import numpy as np from IPython.display import display from ipywidgets import widgets try: - from PyQt4.QtGui import QFileDialog from PyQt4 import QtCore, QtGui - from PyQt4.QtGui import QMainWindow + from PyQt4.QtGui import QFileDialog, QMainWindow except ImportError: - from PyQt5.QtWidgets import QFileDialog - from PyQt5 import QtCore, QtGui - from PyQt5.QtWidgets import QApplication, QMainWindow + pass -from __code.ipywe import fileselector - -from __code.file_handler import make_ascii_file from NeuNorm.normalization import Normalization -from __code.file_handler import retrieve_time_stamp -from __code.file_format_reader import DscReader -#from __code.file_metadata_display import Interface +from __code.file_handler import retrieve_time_stamp +from __code.ipywe import fileselector +# from __code.file_metadata_display import Interface -class FrederickIpts(object): - def __init__(self, working_dir='./'): +class FrederickIpts: + def __init__(self, working_dir="./"): self.working_dir = working_dir def select_file_help(self, value): import webbrowser + webbrowser.open("https://neutronimaging.pages.ornl.gov/en/tutorial/notebooks/file_selector/#select_profile") def select_files(self): - help_ui = widgets.Button(description="HELP", - button_style='info') + help_ui = widgets.Button(description="HELP", button_style="info") help_ui.on_click(self.select_file_help) display(help_ui) - self.files_ui = fileselector.FileSelectorPanel(instruction='Select Images ...', - start_dir=self.working_dir, - next=self.load_and_sort, - multiple=True) + self.files_ui = fileselector.FileSelectorPanel( + instruction="Select Images ...", start_dir=self.working_dir, next=self.load_and_sort, multiple=True + ) self.files_ui.show() @@ -57,18 +50,19 @@ def load_and_sort(self, list_files): def __sort_files_using_metadata_in_name(self): my_re = r"\w*_(?P\w+)_(?P\w+)_\d{4}_(?P\d{4}).tiff$" exp_dict = OrderedDict() - _new_exp = {'list_of_files': [], - 'T': '', - 'P': '', - 'list_of_images': [], - 'working_image': {'type': '', - 'image': []}, - 'folder': ''} + _new_exp = { + "list_of_files": [], + "T": "", + "P": "", + "list_of_images": [], + "working_image": {"type": "", "image": []}, + "folder": "", + } - previous_T = '' - previous_P = '' + previous_T = "" + previous_P = "" - list_of_files = self.dict_files['list_images'] + list_of_files = self.dict_files["list_images"] exp_index = 0 for _index, _file in enumerate(list_of_files): @@ -79,50 +73,50 @@ def __sort_files_using_metadata_in_name(self): continue if m: - _T = m.group('temperature') - _P = m.group('pressure') + _T = m.group("temperature") + _P = m.group("pressure") else: - _T = 'N/A' - _P = 'N/A' + _T = "N/A" + _P = "N/A" # first entry - if _new_exp['list_of_files'] == []: - _new_exp['list_of_files'] = [os.path.basename(_file)] - _new_exp['folder'] = _path + if _new_exp["list_of_files"] == []: + _new_exp["list_of_files"] = [os.path.basename(_file)] + _new_exp["folder"] = _path - _new_exp['T'] = _T + _new_exp["T"] = _T previous_T = _T - _new_exp['P'] = _P + _new_exp["P"] = _P previous_P = _P # after first entry else: - if (_T == previous_T) and (_P == previous_P): # found the same T and P, just append file to list of files - _new_exp['list_of_files'].append(_file) + _new_exp["list_of_files"].append(_file) else: # we found a new T or new P, save previous dict and initialization of new one exp_dict[str(exp_index)] = _new_exp exp_index += 1 - _new_exp = {'list_of_files': [], - 'T': '', - 'P': '', - 'list_of_images': [], - 'working_image': {'type': '', - 'image': []}, - 'folder': ''} + _new_exp = { + "list_of_files": [], + "T": "", + "P": "", + "list_of_images": [], + "working_image": {"type": "", "image": []}, + "folder": "", + } # start recording new entry - _new_exp['list_of_files'] = [os.path.basename(_file)] - _new_exp['folder'] = _path + _new_exp["list_of_files"] = [os.path.basename(_file)] + _new_exp["folder"] = _path - _new_exp['T'] = _T + _new_exp["T"] = _T previous_T = _T - _new_exp['P'] = _P + _new_exp["P"] = _P previous_P = _P # last entry, force the save of the dictionary @@ -133,13 +127,14 @@ def __sort_files_using_metadata_in_name(self): # Helper functions def __load_files(self): - - progress_bar_layout = widgets.Layout(border='1px solid blue') - - hbox = widgets.HBox([widgets.IntProgress(description="FUll Progress", - layout=progress_bar_layout), - widgets.Label(value='', - layout=widgets.Layout(width='10%'))]) + progress_bar_layout = widgets.Layout(border="1px solid blue") + + hbox = widgets.HBox( + [ + widgets.IntProgress(description="FUll Progress", layout=progress_bar_layout), + widgets.Label(value="", layout=widgets.Layout(width="10%")), + ] + ) w = hbox.children[0] nbr_groups = len(self.exp_dict.keys()) w.max = nbr_groups @@ -150,13 +145,13 @@ def __load_files(self): for _index, _key in enumerate(self.exp_dict.keys()): _item = self.exp_dict[_key] - _path = _item['folder'] - list_files = _item['list_of_files'] + _path = _item["folder"] + list_files = _item["list_of_files"] full_list_files = [os.path.join(_path, _file) for _file in list_files] o_norm = Normalization() o_norm.load(file=full_list_files, notebook=True) - _data = o_norm.data['sample']['data'] - _item['list_of_images'] = _data + _data = o_norm.data["sample"]["data"] + _item["list_of_images"] = _data self.exp_dict[_key] = _item w.value = _index + 1 @@ -168,9 +163,9 @@ def __load_files(self): def __sort_files_using_time_stamp(self, dict_time_stamp): """Using the time stamp information, all the files will be sorted in ascending order of time stamp""" - list_files = dict_time_stamp['list_files'].copy() - list_time_stamp = dict_time_stamp['list_time_stamp'].copy() - list_time_stamp_user_format = dict_time_stamp['list_time_stamp_user_format'].copy() + list_files = dict_time_stamp["list_files"].copy() + list_time_stamp = dict_time_stamp["list_time_stamp"].copy() + list_time_stamp_user_format = dict_time_stamp["list_time_stamp_user_format"].copy() list_files = np.array(list_files) time_stamp = np.array(list_time_stamp) @@ -184,34 +179,33 @@ def __sort_files_using_time_stamp(self, dict_time_stamp): sorted_list_time_stamp = time_stamp[sort_index] sorted_list_time_stamp_user_format = time_stamp_user_format[sort_index] - self.dict_files = {'list_files': list(sorted_list_files), - 'list_time_stamp': sorted_list_time_stamp, - 'list_time_stamp_user_format': sorted_list_time_stamp_user_format} + self.dict_files = { + "list_files": list(sorted_list_files), + "list_time_stamp": sorted_list_time_stamp, + "list_time_stamp_user_format": sorted_list_time_stamp_user_format, + } def __calculate_group_working_image(self, list_of_images): """Determine here if we should use the last image or a mean of all the images""" # TO DO - _type = 'last_image' - _type = 'mean' + _type = "last_image" + _type = "mean" _image = np.mean(list_of_images, axis=0) - working = {'type': _type, - 'image': _image} + working = {"type": _type, "image": _image} return working def __calculate_all_working_images(self): for _group_number in self.exp_dict.keys(): _group = self.exp_dict[_group_number] - nbr_images = len(_group['list_of_images']) + nbr_images = len(_group["list_of_images"]) if nbr_images == 1: - _group['working_image']['type'] = 'last_image' - _group['working_image']['image'] = _group['list_of_images'][0].copy() + _group["working_image"]["type"] = "last_image" + _group["working_image"]["image"] = _group["list_of_images"][0].copy() else: - _list_images = _group['list_of_images'] + _list_images = _group["list_of_images"] _result_working_image = self.__calculate_group_working_image(_list_images) - _group['working_image'] = _result_working_image + _group["working_image"] = _result_working_image self.exp_dict[_group_number] = _group - - diff --git a/notebooks/__code/from_attenuation_to_concentration.py b/notebooks/__code/from_attenuation_to_concentration.py index a006e772..2039d2b0 100755 --- a/notebooks/__code/from_attenuation_to_concentration.py +++ b/notebooks/__code/from_attenuation_to_concentration.py @@ -1,60 +1,55 @@ -from ipywidgets import widgets -from IPython.display import display, HTML -import numpy as np import os +from IPython.display import HTML, display +from ipywidgets import widgets from NeuNorm.normalization import Normalization from __code.file_handler import ListMostDominantExtension, make_or_reset_folder from __code.ipywe import fileselector -class FromAttenuationToConcentration(object): - - def __init__(self, working_dir=''): +class FromAttenuationToConcentration: + def __init__(self, working_dir=""): self.working_dir = working_dir def select_folder(self): - self.folder_list_widget = fileselector.FileSelectorPanel(instruction='Select data folder', - start_dir=self.working_dir, - next=self.load_data, - type='directory') + self.folder_list_widget = fileselector.FileSelectorPanel( + instruction="Select data folder", start_dir=self.working_dir, next=self.load_data, type="directory" + ) self.folder_list_widget.show() def load_data(self, folder): self.input_folder = folder - o_list_dominand = ListMostDominantExtension(working_dir = folder) + o_list_dominand = ListMostDominantExtension(working_dir=folder) o_list_dominand.calculate() self.list_files = o_list_dominand.get_files_of_selected_ext().list_files o_norm = Normalization() o_norm.load(file=self.list_files, notebook=True) - self.list_data = o_norm.data['sample']['data'] + self.list_data = o_norm.data["sample"]["data"] def define_conversion_formula(self): - - self.box = widgets.HBox([widgets.Label("A(x,y) = "), - widgets.Text("0.052", - layout=widgets.Layout(width='10%')), - widgets.Dropdown(options=["+", "-"], - layout=widgets.Layout(width='5%'), - value="+"), - widgets.Text("2.55e-5", - layout=widgets.Layout(width='10%')), - widgets.Label(" * H(x,Y)")]) + self.box = widgets.HBox( + [ + widgets.Label("A(x,y) = "), + widgets.Text("0.052", layout=widgets.Layout(width="10%")), + widgets.Dropdown(options=["+", "-"], layout=widgets.Layout(width="5%"), value="+"), + widgets.Text("2.55e-5", layout=widgets.Layout(width="10%")), + widgets.Label(" * H(x,Y)"), + ] + ) display(self.box) def converting_data(self): - try: a = float(self.box.children[1].value) b = float(self.box.children[3].value) symbol = self.box.children[2].value coeff = 1 - if symbol == '+': + if symbol == "+": coeff = -1 progress_bar = widgets.IntProgress() @@ -65,7 +60,7 @@ def converting_data(self): for _index, _data in enumerate(self.list_data): _list_concentration = coeff * (a - _data) / b list_concentration.append(_list_concentration) - progress_bar.value = _index+1 + progress_bar.value = _index + 1 self.list_concentration = list_concentration progress_bar.close() @@ -74,16 +69,18 @@ def converting_data(self): display(HTML('Make sure the coefficient are floats!')) def select_output_folder(self): - self.output_folder_list_widget = fileselector.FileSelectorPanel(instruction='Select where new folder will be created', - start_dir=self.working_dir, - next=self.export_data, - type='directory') + self.output_folder_list_widget = fileselector.FileSelectorPanel( + instruction="Select where new folder will be created", + start_dir=self.working_dir, + next=self.export_data, + type="directory", + ) self.output_folder_list_widget.show() def create_concentration_list_of_file_names(self): - """will use the original list of files and create the new file name that add the word "concentration" in it """ + """will use the original list of files and create the new file name that add the word "concentration" in it""" list_files = self.list_files - base_list_files = ["concentration_{}".format(os.path.basename(_file)) for _file in list_files] + base_list_files = [f"concentration_{os.path.basename(_file)}" for _file in list_files] return base_list_files @@ -92,16 +89,15 @@ def export_data(self, output_dir): o_norm.load(data=self.list_concentration) new_list_files = self.create_concentration_list_of_file_names() - o_norm.data['sample']['file_name'] = new_list_files + o_norm.data["sample"]["file_name"] = new_list_files new_folder_name = os.path.basename(self.input_folder) + "_concentration" new_output_dir = os.path.join(output_dir, new_folder_name) make_or_reset_folder(new_output_dir) - o_norm.export(folder=new_output_dir, - data_type='sample', - file_type='tif') + o_norm.export(folder=new_output_dir, data_type="sample", file_type="tif") - display(HTML('Files have been created in ' + new_output_dir + \ - '')) + display( + HTML('Files have been created in ' + new_output_dir + "") + ) diff --git a/notebooks/__code/from_dsc_time_info_to_ascii_file_vs_time.py b/notebooks/__code/from_dsc_time_info_to_ascii_file_vs_time.py index 4b668101..bf5ae775 100755 --- a/notebooks/__code/from_dsc_time_info_to_ascii_file_vs_time.py +++ b/notebooks/__code/from_dsc_time_info_to_ascii_file_vs_time.py @@ -1,71 +1,74 @@ import glob import os -from IPython.display import display -from IPython.display import HTML + +from IPython.display import HTML, display from __code import file_handler from __code.file_folder_browser import FileFolderBrowser class CreateExportTimeStamp(FileFolderBrowser): - - def __init__(self, working_dir='./'): - FileFolderBrowser.__init__(self, working_dir=working_dir) - __slots__ = {'dsc_folder', 'tiff_folder', 'output_folder'} - self.__select_input_folder() - - def __select_input_folder(self): - self.next_function = self.output_select_dsc_folder - self.select_input_folder(instruction='Select DSC folder ...') - - def output_select_dsc_folder(self, folder): - self.dsc_folder = folder - display(HTML('You have selected the DSC folder: ' + folder + - '')) - parent_dsc_folder = os.path.dirname(self.dsc_folder) - self.working_dir = parent_dsc_folder - - def select_tiff_folder(self): - self.next_function = self.output_select_tiff_folder - self.select_input_folder(instruction='Select TIFF folder ...') - - def output_select_tiff_folder(self, folder): - self.tiff_folder = folder - display(HTML('You have selected the TIFF folder: ' + folder + - '')) - - def select_output_folder_and_create_ascii_file(self): - self.next_function = self.create_ascii_file - self.select_output_folder(instruction='Select TIFF folder ...') - - def create_ascii_file(self, output_folder): - self.output_folder = output_folder - self.run() - - def run(self): - # retrive metadata from dsc file - folder = self.dsc_folder - list_dsc_files = glob.glob(folder + '/*.dsc') - dsc_metadata = file_handler.retrieve_metadata_from_dsc_list_files(list_files = list_dsc_files) - - # retrieve tiff files - tiff_folder = self.tiff_folder - list_tiff_files = glob.glob(tiff_folder + '/*.tif*') - - folder_name = os.path.basename(os.path.dirname(list_tiff_files[0])) - ascii_file_name = os.path.join(os.path.abspath(self.output_folder), folder_name + '_timestamps.txt') - - list_keys = list(dsc_metadata.keys()) - list_keys.sort() - - # create list - ascii_array = ["Filename, acquisition_time(os_format), acquisition_time(user_format), acquisition_duration(s)"] - for _index, _key in enumerate(list_keys): - _line = "{}, {}, {}, {}".format(os.path.basename(list_tiff_files[_index]), - dsc_metadata[_key]['os_format'], - dsc_metadata[_key]['user_format'], - dsc_metadata[_key]['acquisition_time']) - ascii_array.append(_line) - - # export file - file_handler.make_ascii_file(data=ascii_array, output_file_name=ascii_file_name, dim='1d') \ No newline at end of file + def __init__(self, working_dir="./"): + FileFolderBrowser.__init__(self, working_dir=working_dir) + __slots__ = {"dsc_folder", "tiff_folder", "output_folder"} + self.__select_input_folder() + + def __select_input_folder(self): + self.next_function = self.output_select_dsc_folder + self.select_input_folder(instruction="Select DSC folder ...") + + def output_select_dsc_folder(self, folder): + self.dsc_folder = folder + display( + HTML('You have selected the DSC folder: ' + folder + "") + ) + parent_dsc_folder = os.path.dirname(self.dsc_folder) + self.working_dir = parent_dsc_folder + + def select_tiff_folder(self): + self.next_function = self.output_select_tiff_folder + self.select_input_folder(instruction="Select TIFF folder ...") + + def output_select_tiff_folder(self, folder): + self.tiff_folder = folder + display( + HTML('You have selected the TIFF folder: ' + folder + "") + ) + + def select_output_folder_and_create_ascii_file(self): + self.next_function = self.create_ascii_file + self.select_output_folder(instruction="Select TIFF folder ...") + + def create_ascii_file(self, output_folder): + self.output_folder = output_folder + self.run() + + def run(self): + # retrive metadata from dsc file + folder = self.dsc_folder + list_dsc_files = glob.glob(folder + "/*.dsc") + dsc_metadata = file_handler.retrieve_metadata_from_dsc_list_files(list_files=list_dsc_files) + + # retrieve tiff files + tiff_folder = self.tiff_folder + list_tiff_files = glob.glob(tiff_folder + "/*.tif*") + + folder_name = os.path.basename(os.path.dirname(list_tiff_files[0])) + ascii_file_name = os.path.join(os.path.abspath(self.output_folder), folder_name + "_timestamps.txt") + + list_keys = list(dsc_metadata.keys()) + list_keys.sort() + + # create list + ascii_array = ["Filename, acquisition_time(os_format), acquisition_time(user_format), acquisition_duration(s)"] + for _index, _key in enumerate(list_keys): + _line = "{}, {}, {}, {}".format( + os.path.basename(list_tiff_files[_index]), + dsc_metadata[_key]["os_format"], + dsc_metadata[_key]["user_format"], + dsc_metadata[_key]["acquisition_time"], + ) + ascii_array.append(_line) + + # export file + file_handler.make_ascii_file(data=ascii_array, output_file_name=ascii_file_name, dim="1d") diff --git a/notebooks/__code/from_json_to_csv/main.py b/notebooks/__code/from_json_to_csv/main.py index 6d40f4e7..48231b65 100755 --- a/notebooks/__code/from_json_to_csv/main.py +++ b/notebooks/__code/from_json_to_csv/main.py @@ -1,34 +1,33 @@ -import numpy as np import os -from IPython.display import HTML -from ipywidgets import widgets -from IPython.display import display -from NeuNorm.normalization import Normalization +import numpy as np +from IPython.display import HTML, display +from ipywidgets import widgets +from __code import file_handler, utilities from __code.ipywe import fileselector from __code.ipywe.myfileselector import FileSelectorPanelWithJumpFolders -from __code import utilities, file_handler class FromJsonToCsv: - - working_dir = '' + working_dir = "" images_ui = None data = [] list_file_names = [] - def __init__(self, working_dir=''): + def __init__(self, working_dir=""): self.working_dir = working_dir self.output_folder_ui = None def select_images(self): - _instruction = 'Select files to convert' - self.images_ui = fileselector.FileSelectorPanel(instruction=_instruction, - start_dir=self.working_dir, - multiple=True, - filters={"JSON": "*.json"}, - next=self.load) + _instruction = "Select files to convert" + self.images_ui = fileselector.FileSelectorPanel( + instruction=_instruction, + start_dir=self.working_dir, + multiple=True, + filters={"JSON": "*.json"}, + next=self.load, + ) self.images_ui.show() def get_list_images(self): @@ -45,86 +44,94 @@ def load(self, list_json): def __calculate_image_dimension(self): _image_0 = self.data[0] - [self.image_dimension['height'], self.image_dimension['width']] = np.shape(_image_0) + [self.image_dimension["height"], self.image_dimension["width"]] = np.shape(_image_0) def __bin_parameter_changed(self, sender): - new_width_bin = int(self.bin_width_para.value) self.bin_width_value = new_width_bin new_height_bin = int(self.bin_height_para.value) self.bin_height_value = new_height_bin - old_width = self.image_dimension['width'] - old_height = self.image_dimension['height'] + old_width = self.image_dimension["width"] + old_height = self.image_dimension["height"] new_width = int(old_width / new_width_bin) new_height = int(old_height / new_height_bin) - self.right_widgets.children[1].value = "Width: {} pixels".format(new_width) - self.right_widgets.children[2].value = "Height: {} pixels".format(new_height) + self.right_widgets.children[1].value = f"Width: {new_width} pixels" + self.right_widgets.children[2].value = f"Height: {new_height} pixels" def select_bin_parameter(self): - _width = self.image_dimension['width'] - _height = self.image_dimension['height'] - left_widgets = widgets.VBox([widgets.HTML(value="Current Image Size:", - layout=widgets.Layout(width='250px')), - widgets.Label("Width: {} pixels".format(_width), - layout=widgets.Layout(width='100%')), - widgets.Label("Height: {} pixels".format(_height), - layout=widgets.Layout(width='100%'))]) + _width = self.image_dimension["width"] + _height = self.image_dimension["height"] + left_widgets = widgets.VBox( + [ + widgets.HTML(value="Current Image Size:", layout=widgets.Layout(width="250px")), + widgets.Label(f"Width: {_width} pixels", layout=widgets.Layout(width="100%")), + widgets.Label(f"Height: {_height} pixels", layout=widgets.Layout(width="100%")), + ] + ) options_list = [str(_) for _ in np.arange(2, 21)] - self.bin_width_para = widgets.Dropdown(options=options_list, - value='2', - description="width:", - continuous_update=False, - layout=widgets.Layout(width='80%')) + self.bin_width_para = widgets.Dropdown( + options=options_list, + value="2", + description="width:", + continuous_update=False, + layout=widgets.Layout(width="80%"), + ) self.bin_width_para.observe(self.__bin_parameter_changed) - self.bin_height_para = widgets.Dropdown(options=options_list, - value='2', - description="height:", - continuous_update=False, - layout=widgets.Layout(width='80%')) + self.bin_height_para = widgets.Dropdown( + options=options_list, + value="2", + description="height:", + continuous_update=False, + layout=widgets.Layout(width="80%"), + ) self.bin_height_para.observe(self.__bin_parameter_changed) - center_widgets = widgets.VBox([widgets.HTML("Bin Parameter:", - layout=widgets.Layout(width='250px')), - self.bin_width_para, - self.bin_height_para]) - - self.right_widgets = widgets.VBox([widgets.HTML("New Image Size:", - layout=widgets.Layout(width='250px')), - widgets.Label("Width: {} pixels".format(250), - layout=widgets.Layout(width='100%')), - widgets.Label("Height: {} pixels".format(250), - layout=widgets.Layout(width='100%'))]) + center_widgets = widgets.VBox( + [ + widgets.HTML("Bin Parameter:", layout=widgets.Layout(width="250px")), + self.bin_width_para, + self.bin_height_para, + ] + ) + + self.right_widgets = widgets.VBox( + [ + widgets.HTML("New Image Size:", layout=widgets.Layout(width="250px")), + widgets.Label(f"Width: {250} pixels", layout=widgets.Layout(width="100%")), + widgets.Label(f"Height: {250} pixels", layout=widgets.Layout(width="100%")), + ] + ) self.__bin_parameter_changed(None) - full_widget = widgets.HBox([left_widgets, - center_widgets, - self.right_widgets]) + full_widget = widgets.HBox([left_widgets, center_widgets, self.right_widgets]) display(full_widget) def select_export_folder(self): - self.output_folder_ui = FileSelectorPanelWithJumpFolders(instruction='Select output folder...', - start_dir=self.working_dir, - multiple=False, - next=self.export, - type='directory', - show_jump_to_home=True, - show_jump_to_share=True) + self.output_folder_ui = FileSelectorPanelWithJumpFolders( + instruction="Select output folder...", + start_dir=self.working_dir, + multiple=False, + next=self.export, + type="directory", + show_jump_to_home=True, + show_jump_to_share=True, + ) # self.output_folder_ui.show() def rebin_data(self, data=[]): width_bin = self.bin_width_value height_bin = self.bin_height_value - height = self.image_dimension['height'] - width = self.image_dimension['width'] + height = self.image_dimension["height"] + width = self.image_dimension["width"] # checking if last bin size match other bins new_height = height @@ -139,7 +146,7 @@ def rebin_data(self, data=[]): new_width = int(_nbr_width_bin * width_bin) new_width = int(new_width) - _new_data = data[0: new_height, 0: new_width] + _new_data = data[0:new_height, 0:new_width] _new_data = _new_data.reshape(_nbr_height_bin, height_bin, _nbr_width_bin, width_bin) data_rebinned = _new_data.mean(axis=3).mean(axis=1) @@ -152,12 +159,11 @@ def get_input_folder(self): return os.path.basename(full_dir_name) def export(self, output_folder): - input_folder = self.get_input_folder() # output_folder = os.path.abspath(os.path.join(self.output_folder_ui.selected, # "{}_rebin_by_{}".format(input_folder, self.bin_value))) bin_string = f"{self.bin_height_value}height_{self.bin_width_value}width" - output_folder = os.path.abspath(os.path.join(output_folder, "{}_rebin_by_{}".format(input_folder, bin_string))) + output_folder = os.path.abspath(os.path.join(output_folder, f"{input_folder}_rebin_by_{bin_string}")) utilities.make_dir(dir=output_folder, overwrite=False) w = widgets.IntProgress() @@ -167,11 +173,10 @@ def export(self, output_folder): for _index, _file in enumerate(self.list_file_names): basename = os.path.basename(_file) _base, _ext = os.path.splitext(basename) - output_file_name = os.path.join(output_folder, _base + '.tiff') + output_file_name = os.path.join(output_folder, _base + ".tiff") _rebin_data = self.rebin_data(self.data[_index]) file_handler.make_tiff(filename=output_file_name, data=_rebin_data) w.value = _index + 1 - display(HTML('File created in ' + \ - output_folder + '')) + display(HTML('File created in ' + output_folder + "")) diff --git a/notebooks/__code/gamma_filtering_tool.py b/notebooks/__code/gamma_filtering_tool.py index 66d3f668..773f81df 100755 --- a/notebooks/__code/gamma_filtering_tool.py +++ b/notebooks/__code/gamma_filtering_tool.py @@ -1,29 +1,26 @@ -from IPython.display import HTML -from IPython.display import display import os + import numpy as np import pyqtgraph as pg +from IPython.display import HTML, display from pyqtgraph.dockarea import * try: - from PyQt4.QtGui import QFileDialog from PyQt4 import QtCore, QtGui - from PyQt4.QtGui import QMainWindow + from PyQt4.QtGui import QFileDialog, QMainWindow except ImportError: - from PyQt5.QtWidgets import QFileDialog - from PyQt5 import QtCore, QtGui - from PyQt5.QtWidgets import QApplication, QMainWindow + from PyQt5 import QtGui + from PyQt5.QtWidgets import QMainWindow from NeuNorm.normalization import Normalization -from __code.ui_gamma_filtering_tool import Ui_MainWindow as UiMainWindow -from __code.file_folder_browser import FileFolderBrowser from __code.decorators import wait_cursor +from __code.file_folder_browser import FileFolderBrowser +from __code.ui_gamma_filtering_tool import Ui_MainWindow as UiMainWindow class InterfaceHandler(FileFolderBrowser): - - def __init__(self, working_dir=''): + def __init__(self, working_dir=""): super(InterfaceHandler, self).__init__(working_dir=working_dir) def get_list_of_files(self): @@ -31,7 +28,6 @@ def get_list_of_files(self): class Interface(QMainWindow): - live_data = [] default_filtering_coefficient_value = 0.1 @@ -50,9 +46,12 @@ class Interface(QMainWindow): raw_image_size = [] def __init__(self, parent=None, list_of_files=None): - - display(HTML('Check UI that poped up \ - (maybe hidden behind this browser!)')) + display( + HTML( + 'Check UI that poped up \ + (maybe hidden behind this browser!)' + ) + ) self.list_files = list_of_files @@ -96,8 +95,7 @@ def init_statusbar(self): hori_layout.addWidget(self.filtered_value) # spacer - spacerItem = QtGui.QSpacerItem(22520, 40, QtGui.QSizePolicy.Expanding, - QtGui.QSizePolicy.Expanding) + spacerItem = QtGui.QSpacerItem(22520, 40, QtGui.QSizePolicy.Expanding, QtGui.QSizePolicy.Expanding) hori_layout.addItem(spacerItem) # add status bar in main ui @@ -118,7 +116,7 @@ def __get_filtering_coefficient_value(self): it stays between 0 and 1""" value = self.ui.filtering_coefficient_value.text() try: - float_value = np.float(value) + float_value = float(value) except: self.ui.filtering_coefficient_value.setText(str(self.default_filtering_coefficient_value)) return self.default_filtering_coefficient_value @@ -137,18 +135,22 @@ def fill_table(self): total_nbr_pixels = raw_image_size[0] * raw_image_size[1] for _row, _file in enumerate(self.list_files): - o_norm = Normalization() - o_norm.load(file=_file, auto_gamma_filter=False, manual_gamma_filter=True, manual_gamma_threshold=self.__get_filtering_coefficient_value()) - _raw_data = o_norm.data['sample']['data'] + o_norm.load( + file=_file, + auto_gamma_filter=False, + manual_gamma_filter=True, + manual_gamma_threshold=self.__get_filtering_coefficient_value(), + ) + _raw_data = o_norm.data["sample"]["data"] nbr_pixel_corrected = self.get_number_pixel_gamma_corrected(data=_raw_data) # number of pixel corrected - _item = QtGui.QTableWidgetItem("{}/{}".format(nbr_pixel_corrected, total_nbr_pixels)) + _item = QtGui.QTableWidgetItem(f"{nbr_pixel_corrected}/{total_nbr_pixels}") self.ui.tableWidget.setItem(_row, 1, _item) # percentage of pixel corrected - _item = QtGui.QTableWidgetItem("{:.02f}%".format(nbr_pixel_corrected*100/total_nbr_pixels)) + _item = QtGui.QTableWidgetItem(f"{nbr_pixel_corrected*100/total_nbr_pixels:.02f}%") self.ui.tableWidget.setItem(_row, 2, _item) def get_number_pixel_gamma_corrected(self, data=[]): @@ -158,35 +160,33 @@ def get_number_pixel_gamma_corrected(self, data=[]): gamma_indexes = np.where(filtering_coefficient * _data > mean_counts) return len(gamma_indexes[0]) - def mouse_moved_in_any_image(self, evt, image='raw'): + def mouse_moved_in_any_image(self, evt, image="raw"): pos = evt[0] - if image == 'raw': + if image == "raw": image_view = self.ui.raw_image_view - elif image == 'filtered': + elif image == "filtered": image_view = self.ui.filtered_image_view else: image_view = self.ui.diff_image_view if image_view.view.sceneBoundingRect().contains(pos): - [height, width] = self.raw_image_size - #mouse_point = self.ui.raw_image_view.view.vb.mapSceneToView(pos) + # mouse_point = self.ui.raw_image_view.view.vb.mapSceneToView(pos) mouse_point = image_view.view.getViewBox().mapSceneToView(pos) mouse_x = int(mouse_point.x()) mouse_y = int(mouse_point.y()) - if (mouse_x >= 0 and mouse_x < width) and \ - (mouse_y >= 0 and mouse_y < height): + if (mouse_x >= 0 and mouse_x < width) and (mouse_y >= 0 and mouse_y < height): self.x_value.setText(str(mouse_x)) self.y_value.setText(str(mouse_y)) _raw_value = self.live_raw_image[mouse_x, mouse_y] _filtered_value = self.live_filtered_image[mouse_x, mouse_y] - self.raw_value.setText("{:.03f}".format(_raw_value)) - self.filtered_value.setText("{:.03f}".format(_filtered_value)) + self.raw_value.setText(f"{_raw_value:.03f}") + self.filtered_value.setText(f"{_filtered_value:.03f}") self.raw_hLine.setPos(mouse_point.y()) self.raw_vLine.setPos(mouse_point.x()) @@ -205,10 +205,10 @@ def filtering_coefficient_changed(self): self.slider_moved() def mouse_moved_in_raw_image(self, evt): - self.mouse_moved_in_any_image(evt, image='raw') + self.mouse_moved_in_any_image(evt, image="raw") def mouse_moved_in_filtered_image(self, evt): - self.mouse_moved_in_any_image(evt, image='filtered') + self.mouse_moved_in_any_image(evt, image="filtered") def init_pyqtgraph(self): area = DockArea() @@ -218,15 +218,15 @@ def init_pyqtgraph(self): d2 = Dock("Gamma Filtered", size=(200, 200)) d2h = Dock("Gamma Filtered Histogram", size=(200, 200)) - area.addDock(d1, 'left') - area.addDock(d1h, 'left') - area.moveDock(d1, 'above', d1h) - area.addDock(d2, 'right', d1) - area.addDock(d2h, 'right') - area.moveDock(d2, 'above', d2h) + area.addDock(d1, "left") + area.addDock(d1h, "left") + area.moveDock(d1, "above", d1h) + area.addDock(d2, "right", d1) + area.addDock(d2h, "right") + area.moveDock(d2, "above", d2h) # raw image - self.ui.raw_image_view = pg.ImageView(view=pg.PlotItem(), name='raw_image') + self.ui.raw_image_view = pg.ImageView(view=pg.PlotItem(), name="raw_image") self.ui.raw_image_view.ui.roiBtn.hide() self.ui.raw_image_view.ui.menuBtn.hide() self.ui.raw_image_view.view.setAutoVisible(y=True) @@ -236,9 +236,9 @@ def init_pyqtgraph(self): self.ui.raw_image_view.addItem(self.raw_hLine, ignoreBounds=True) self.raw_vLine.setPos([1000, 1000]) self.raw_hLine.setPos([1000, 1000]) - self.raw_proxy = pg.SignalProxy(self.ui.raw_image_view.view.scene().sigMouseMoved, - rateLimit=60, - slot=self.mouse_moved_in_raw_image) + self.raw_proxy = pg.SignalProxy( + self.ui.raw_image_view.view.scene().sigMouseMoved, rateLimit=60, slot=self.mouse_moved_in_raw_image + ) d1.addWidget(self.ui.raw_image_view) # raw histogram plot @@ -246,7 +246,7 @@ def init_pyqtgraph(self): d1h.addWidget(self.ui.raw_histogram_plot) # filtered image - self.ui.filtered_image_view = pg.ImageView(view=pg.PlotItem(), name='filtered_image') + self.ui.filtered_image_view = pg.ImageView(view=pg.PlotItem(), name="filtered_image") self.ui.filtered_image_view.ui.roiBtn.hide() self.ui.filtered_image_view.ui.menuBtn.hide() self.filtered_vLine = pg.InfiniteLine(angle=90, movable=False) @@ -255,9 +255,11 @@ def init_pyqtgraph(self): self.ui.filtered_image_view.addItem(self.filtered_hLine, ignoreBounds=True) self.filtered_vLine.setPos([1000, 1000]) self.filtered_hLine.setPos([1000, 1000]) - self.filtered_proxy = pg.SignalProxy(self.ui.filtered_image_view.view.scene().sigMouseMoved, - rateLimit=60, - slot=self.mouse_moved_in_filtered_image) + self.filtered_proxy = pg.SignalProxy( + self.ui.filtered_image_view.view.scene().sigMouseMoved, + rateLimit=60, + slot=self.mouse_moved_in_filtered_image, + ) d2.addWidget(self.ui.filtered_image_view) # filtered histogram plot @@ -268,8 +270,8 @@ def init_pyqtgraph(self): vertical_layout.addWidget(area) self.ui.image_widget.setLayout(vertical_layout) - self.ui.raw_image_view.view.getViewBox().setXLink('filtered_image') - self.ui.raw_image_view.view.getViewBox().setYLink('filtered_image') + self.ui.raw_image_view.view.getViewBox().setXLink("filtered_image") + self.ui.raw_image_view.view.getViewBox().setYLink("filtered_image") def init_widgets(self): table_column_size = self.table_columns_size @@ -290,12 +292,12 @@ def slider_clicked(self): def slider_moved(self): slider_position = self.ui.file_index_slider.value() - self.display_raw_image(file_index=slider_position-1) - self.display_corrected_image(file_index=slider_position-1) + self.display_raw_image(file_index=slider_position - 1) + self.display_corrected_image(file_index=slider_position - 1) self.ui.file_index_value.setText(str(slider_position)) self.reset_states() - self.ui.raw_image_view.view.getViewBox().setYLink('filtered_image') - self.ui.raw_image_view.view.getViewBox().setXLink('filtered_image') + self.ui.raw_image_view.view.getViewBox().setYLink("filtered_image") + self.ui.raw_image_view.view.getViewBox().setXLink("filtered_image") def display_raw_image(self, file_index): _view = self.ui.raw_image_view.getView() @@ -313,7 +315,7 @@ def display_raw_image(self, file_index): o_norm = Normalization() file_name = self.list_files[file_index] o_norm.load(file=file_name, auto_gamma_filter=False) - _image = o_norm.data['sample']['data'][0] + _image = o_norm.data["sample"]["data"][0] _image = np.transpose(_image) self.ui.raw_image_view.setImage(_image) @@ -323,14 +325,13 @@ def display_raw_image(self, file_index): self.raw_image_size = np.shape(_image) if not first_update: - _histo_widget.setLevels(self.raw_histogram_level[0], - self.raw_histogram_level[1]) + _histo_widget.setLevels(self.raw_histogram_level[0], self.raw_histogram_level[1]) # histogram self.ui.raw_histogram_plot.clear() min = 0 max = np.max(_image) - y, x = np.histogram(_image, bins=np.linspace(min, max+1, self.nbr_histo_bins)) + y, x = np.histogram(_image, bins=np.linspace(min, max + 1, self.nbr_histo_bins)) self.ui.raw_histogram_plot.plot(x, y, stepMode=True, fillLevel=0, brush=(0, 0, 255, 150)) def reset_states(self): @@ -359,24 +360,28 @@ def display_corrected_image(self, file_index=0): o_norm = Normalization() file_name = self.list_files[file_index] - o_norm.load(file=file_name, auto_gamma_filter=True, manual_gamma_filter=True, manual_gamma_threshold=self.__get_filtering_coefficient_value()) - _image = o_norm.data['sample']['data'][0] - - #self.ui.filtered_image_view.clear() + o_norm.load( + file=file_name, + auto_gamma_filter=True, + manual_gamma_filter=True, + manual_gamma_threshold=self.__get_filtering_coefficient_value(), + ) + _image = o_norm.data["sample"]["data"][0] + + # self.ui.filtered_image_view.clear() _image = np.transpose(_image) self.ui.filtered_image_view.setImage(_image) _view_box.setState(_state) self.live_filtered_image = _image if not first_update: - _histo_widget.setLevels(self.filtered_histogram_level[0], - self.filtered_histogram_level[1]) + _histo_widget.setLevels(self.filtered_histogram_level[0], self.filtered_histogram_level[1]) # histogram self.ui.filtered_histogram_plot.clear() min = 0 max = np.max(_image) - y, x = np.histogram(_image, bins=np.linspace(min, max+1, self.nbr_histo_bins)) + y, x = np.histogram(_image, bins=np.linspace(min, max + 1, self.nbr_histo_bins)) self.ui.filtered_histogram_plot.plot(x, y, stepMode=True, fillLevel=0, brush=(0, 0, 255, 150)) def apply_clicked(self): @@ -396,6 +401,3 @@ def display_image(self, image): def closeEvent(self, eventhere=None): print("Leaving Parameters Selection UI") - - - diff --git a/notebooks/__code/group_images_by_cycle_for_grating_experiment/__init__.py b/notebooks/__code/group_images_by_cycle_for_grating_experiment/__init__.py index 16ccdfa6..d440c2f8 100755 --- a/notebooks/__code/group_images_by_cycle_for_grating_experiment/__init__.py +++ b/notebooks/__code/group_images_by_cycle_for_grating_experiment/__init__.py @@ -1,14 +1,7 @@ -list_fit_procedure = ["EM Fit", - "Matrix Fit", - "MATRIX", - "FFT Fit", - "Sinus Fit", - "Matrix Fit Advanced" - ] +list_fit_procedure = ["EM Fit", "Matrix Fit", "MATRIX", "FFT Fit", "Sinus Fit", "Matrix Fit Advanced"] class IndexOfColumns: - first_data_file = 0 last_data_file = 1 first_ob_file = 2 diff --git a/notebooks/__code/group_images_by_cycle_for_grating_experiment/combine_and_move_files.py b/notebooks/__code/group_images_by_cycle_for_grating_experiment/combine_and_move_files.py index fa98fb24..47efeada 100755 --- a/notebooks/__code/group_images_by_cycle_for_grating_experiment/combine_and_move_files.py +++ b/notebooks/__code/group_images_by_cycle_for_grating_experiment/combine_and_move_files.py @@ -1,15 +1,15 @@ import os -from IPython.display import display, HTML -from ipywidgets import widgets import shutil -from collections import OrderedDict + +from IPython.display import HTML, display +from ipywidgets import widgets from __code.file_handler import make_or_reset_folder + from .utilities import combine_images class CombineAndMoveFiles: - def __init__(self, parent=None, output_folder=None, debug=False): self.parent = parent self.output_folder = output_folder @@ -17,7 +17,6 @@ def __init__(self, parent=None, output_folder=None, debug=False): self.debug = debug def run(self): - if not self.output_folder: return @@ -45,39 +44,39 @@ def run(self): size_outer_loop = len(list_keys) size_inner_loop = len(dict_old_files[list_keys[0]]) - hbox1 = widgets.HBox([widgets.HTML("Groups", - layout=widgets.Layout(width="100px")), - widgets.IntProgress(min=0, - max=size_outer_loop - 1, - value=0, - layout=widgets.Layout(width="300px"))]) + hbox1 = widgets.HBox( + [ + widgets.HTML("Groups", layout=widgets.Layout(width="100px")), + widgets.IntProgress(min=0, max=size_outer_loop - 1, value=0, layout=widgets.Layout(width="300px")), + ] + ) outer_progress_ui = hbox1.children[1] - hbox2 = widgets.HBox([widgets.HTML("Files", - layout=widgets.Layout(width="100px")), - widgets.IntProgress(min=0, - max=size_inner_loop - 1, - value=0, - layout=widgets.Layout(width="300px"))]) + hbox2 = widgets.HBox( + [ + widgets.HTML("Files", layout=widgets.Layout(width="100px")), + widgets.IntProgress(min=0, max=size_inner_loop - 1, value=0, layout=widgets.Layout(width="300px")), + ] + ) inner_progress_ui = hbox2.children[1] vbox = widgets.VBox([hbox1, hbox2]) display(vbox) for _outer_index, _key in enumerate(dict_old_files.keys()): - if debug: print(f"outer_index: {_outer_index}") + if debug: + print(f"outer_index: {_outer_index}") _old_name_list = dict_old_files[_key] _new_name_list = dict_new_files[_key] inner_progress_ui.value = 0 outer_progress_ui.value = _outer_index - for _inner_index, (_old, _new) in enumerate(zip(_old_name_list, _new_name_list)): - + for _inner_index, (_old, _new) in enumerate(zip(_old_name_list, _new_name_list, strict=False)): new_full_file_name = os.path.join(output_folder, _new) - if debug: print(f"old full file name -> {_old}") - if debug: print(f"new full file name -> {_new}") + if debug: + print(f"old full file name -> {_old}") + if debug: + print(f"new full file name -> {_new}") if len(_old) > 1: - combine_images(output_folder=output_folder, - list_images=_old, - new_file_name=_new) + combine_images(output_folder=output_folder, list_images=_old, new_file_name=_new) else: shutil.copy(_old[0], new_full_file_name) inner_progress_ui.value = _inner_index @@ -85,4 +84,4 @@ def run(self): vbox.close() message = f"Folder {output_folder} has been created!" - display(HTML('' + message + '')) + display(HTML('' + message + "")) diff --git a/notebooks/__code/group_images_by_cycle_for_grating_experiment/event_handler.py b/notebooks/__code/group_images_by_cycle_for_grating_experiment/event_handler.py index 1bcdbef1..5f822371 100755 --- a/notebooks/__code/group_images_by_cycle_for_grating_experiment/event_handler.py +++ b/notebooks/__code/group_images_by_cycle_for_grating_experiment/event_handler.py @@ -1,18 +1,16 @@ -import numpy as np import os -from __code.group_images_by_cycle_for_grating_experiment.get import Get from __code.file_folder_browser import FileFolderBrowser from __code.group_images_by_cycle_for_grating_experiment.excel_handler import ExcelHandler +from __code.group_images_by_cycle_for_grating_experiment.get import Get class EventHandler: - def __init__(self, parent=None): self.parent = parent def search_metadata_outer_edited(self, name): - search_string = name['new'].lower() + search_string = name["new"].lower() selection_of_search_string = [] for _metadata in self.parent.list_metadata: if search_string in _metadata.lower(): @@ -26,24 +24,24 @@ def search_metadata_outer_edited(self, name): def reset_search_metadata_outer(self, value): self.parent.search_outer_field.value = "" - self.search_metadata_outer_edited({'new': ""}) + self.search_metadata_outer_edited({"new": ""}) o_get = Get(parent=self.parent) _, metadata_outer_value = o_get.default_metadata_selected() self.parent.list_metadata_outer.value = metadata_outer_value self.parent.save_key_metadata() def metadata_outer_selection_changed(self, name): - new_value = name['new'] + new_value = name["new"] self.parent.metadata_outer_selected_label.value = new_value self.parent.save_key_metadata() def metadata_inner_selection_changed(self, name): - new_value = name['new'] + new_value = name["new"] self.parent.metadata_inner_selected_label.value = new_value self.parent.save_key_metadata() def search_metadata_inner_edited(self, name): - search_string = name['new'].lower() + search_string = name["new"].lower() selection_of_search_string = [] for _metadata in self.parent.list_metadata: if search_string in _metadata.lower(): @@ -57,13 +55,13 @@ def search_metadata_inner_edited(self, name): def reset_search_metadata_inner(self, value): self.parent.search_inner_field.value = "" - self.search_metadata_inner_edited({'new': ""}) + self.search_metadata_inner_edited({"new": ""}) o_get = Get(parent=self.parent) metadata_inner_value, _ = o_get.default_metadata_selected() self.parent.list_metadata_inner.value = metadata_inner_value def group_index_changed(self, value): - new_group_selected = value['new'] + new_group_selected = value["new"] _, new_group_index = new_group_selected.split(" # ") o_get = Get(parent=self.parent) short_list_files = o_get.list_of_files_basename_only(int(new_group_index)) @@ -75,7 +73,7 @@ def group_index_changed(self, value): def list_of_files_changed(self, value): dictionary_file_vs_metadata = self.parent.dictionary_file_vs_metadata - file_selected = value['new'] + file_selected = value["new"] # make sure only first file name is used to retrieve key list_file_selected = file_selected.split(", ") @@ -86,11 +84,11 @@ def list_of_files_changed(self, value): string_to_display = "" for _key, _value in dictionary_file_vs_metadata[full_file_name_selected].items(): - string_to_display += "{}: {}\n".format(_key, _value) + string_to_display += f"{_key}: {_value}\n" self.parent.metadata_ui.value = string_to_display - + def list_of_new_files_changed(self, value): - new_file_selected = value['new'] + new_file_selected = value["new"] list_of_files_names = self.parent.list_of_files_ui.options list_of_new_files_names = self.parent.list_of_new_files_ui.options index = list_of_new_files_names.index(new_file_selected) @@ -100,12 +98,10 @@ def list_of_new_files_changed(self, value): def use_excel_file_clicked(self, state): # self.parent.output_folder = "/Volumes/G-DRIVE/IPTS/IPTS-28730-gratting-CT" #REMOVE_ME - o_file = FileFolderBrowser(working_dir=self.parent.output_folder, - next_function=self.load_excel_file) - o_file.select_images(instruction="Select Excel file ...", - multiple_flag=False, - filters={"excel": "*.xls"}, - default_filter="excel") + o_file = FileFolderBrowser(working_dir=self.parent.output_folder, next_function=self.load_excel_file) + o_file.select_images( + instruction="Select Excel file ...", multiple_flag=False, filters={"excel": "*.xls"}, default_filter="excel" + ) def load_excel_file(self, file_name): o_excel = ExcelHandler(parent=self.parent) diff --git a/notebooks/__code/group_images_by_cycle_for_grating_experiment/excel_handler.py b/notebooks/__code/group_images_by_cycle_for_grating_experiment/excel_handler.py index 915a539f..39249878 100755 --- a/notebooks/__code/group_images_by_cycle_for_grating_experiment/excel_handler.py +++ b/notebooks/__code/group_images_by_cycle_for_grating_experiment/excel_handler.py @@ -1,27 +1,26 @@ -import pandas as pd -from qtpy.QtWidgets import QMainWindow, QFileDialog, QMenu -from qtpy import QtGui -from IPython.display import display -from IPython.display import HTML +import json +import logging import os -import numpy as np import re -import json from collections import OrderedDict -import logging -from __code._utilities.string import format_html_message +import numpy as np +import pandas as pd +from IPython.display import HTML, display +from qtpy import QtGui +from qtpy.QtWidgets import QFileDialog, QMainWindow, QMenu + from __code import load_ui from __code._utilities.status_message import StatusMessageStatus, show_status_message +from __code._utilities.string import format_html_message +from __code.group_images_by_cycle_for_grating_experiment import IndexOfColumns from __code.group_images_by_cycle_for_grating_experiment.excel_table_handler import ExcelTableHandler as TableHandler from __code.group_images_by_cycle_for_grating_experiment.repeat_widget_change_dialog import RepeatWidgetChangeDialog -from __code.group_images_by_cycle_for_grating_experiment import IndexOfColumns ROW_HEIGHT = 40 class ExcelHandler: - def __init__(self, parent=None): self.parent = parent @@ -44,30 +43,35 @@ def load_excel(self, excel_file=None): data_type_to_populate_with_notebook_data = self.parent.sample_or_ob_radio_buttons.value # if we want to populate the sample column, we need to have the same number of sample and ob - if (nbr_excel_row != nbr_notebook_row) and (data_type_to_populate_with_notebook_data == 'sample'): - display(HTML("Number of rows in Excel document selected and number of group DO NOT " - "MATCH!")) + if (nbr_excel_row != nbr_notebook_row) and (data_type_to_populate_with_notebook_data == "sample"): + display( + HTML( + "Number of rows in Excel document selected and number of group DO NOT " + "MATCH!" + ) + ) display(HTML("SOLUTION: create a new Excel document!")) else: new_df = self._populate_pandas_object( - df=df, - data_type_to_populate_with_notebook_data=data_type_to_populate_with_notebook_data) - - o_interface = Interface(grand_parent=self.parent, - excel_file=excel_file, - pandas_object=new_df, - data_type_to_populate_with_notebook_data=data_type_to_populate_with_notebook_data, - first_last_run_of_each_group_dictionary=self.parent.first_last_run_of_each_group_dictionary) + df=df, data_type_to_populate_with_notebook_data=data_type_to_populate_with_notebook_data + ) + + o_interface = Interface( + grand_parent=self.parent, + excel_file=excel_file, + pandas_object=new_df, + data_type_to_populate_with_notebook_data=data_type_to_populate_with_notebook_data, + first_last_run_of_each_group_dictionary=self.parent.first_last_run_of_each_group_dictionary, + ) o_interface.show() def get_excel_config(self): - config_file = os.path.join(os.path.dirname(__file__), 'excel_config.json') + config_file = os.path.join(os.path.dirname(__file__), "excel_config.json") with open(config_file) as json_file: return json.load(json_file) - def _populate_pandas_object(self, df=None, data_type_to_populate_with_notebook_data='sample'): - + def _populate_pandas_object(self, df=None, data_type_to_populate_with_notebook_data="sample"): logging.info("Entering _populate_pandas_object!") def get_matching_ob_group_index(sample_outer_value=None, dict_group_outer_value=None): @@ -90,18 +94,18 @@ def get_matching_ob_group_index(sample_outer_value=None, dict_group_outer_value= output_folder = os.path.abspath(self.parent.output_folder) first_last_run_of_each_group_dictionary = self.parent.first_last_run_of_each_group_dictionary - if data_type_to_populate_with_notebook_data == 'sample': - + if data_type_to_populate_with_notebook_data == "sample": logging.info("working with Sample") for _row_index, _key in enumerate(first_last_run_of_each_group_dictionary.keys()): - df.iloc[_row_index, 0] = os.path.join(output_folder, first_last_run_of_each_group_dictionary[_key][ - 'first']) - df.iloc[_row_index, 1] = os.path.join(output_folder, first_last_run_of_each_group_dictionary[_key][ - 'last']) + df.iloc[_row_index, 0] = os.path.join( + output_folder, first_last_run_of_each_group_dictionary[_key]["first"] + ) + df.iloc[_row_index, 1] = os.path.join( + output_folder, first_last_run_of_each_group_dictionary[_key]["last"] + ) else: # ob - # logging.info("working with OB") dict_group_outer_value = self.parent.dict_group_outer_value @@ -109,24 +113,25 @@ def get_matching_ob_group_index(sample_outer_value=None, dict_group_outer_value= # go one row at a time and check value of sample_information (outer loop) for _row in np.arange(number_of_df_rows): - # logging.info(f"-> _row:{_row}") sample_outer_value = df.iloc[_row, IndexOfColumns.sample_information] logging.info(f"-> sample_outer_value: {sample_outer_value}") - ob_group_index = get_matching_ob_group_index(sample_outer_value=sample_outer_value, - dict_group_outer_value=dict_group_outer_value) + ob_group_index = get_matching_ob_group_index( + sample_outer_value=sample_outer_value, dict_group_outer_value=dict_group_outer_value + ) # logging.info(f"-> ob_group_index: {ob_group_index}") - df.iloc[_row, 2] = os.path.join(output_folder, first_last_run_of_each_group_dictionary[ - ob_group_index]['first']) - df.iloc[_row, 3] = os.path.join(output_folder, first_last_run_of_each_group_dictionary[ - ob_group_index]['last']) + df.iloc[_row, 2] = os.path.join( + output_folder, first_last_run_of_each_group_dictionary[ob_group_index]["first"] + ) + df.iloc[_row, 3] = os.path.join( + output_folder, first_last_run_of_each_group_dictionary[ob_group_index]["last"] + ) return df - def _create_pandas_object(self, data_type_to_populate_with_notebook_data='sample'): - + def _create_pandas_object(self, data_type_to_populate_with_notebook_data="sample"): def formatting_angle_value(str_angle_value=""): """ str_value = "2.000000" @@ -148,23 +153,23 @@ def formatting_angle_value(str_angle_value=""): excel_config = self.get_excel_config() df_dict = {} - if data_type_to_populate_with_notebook_data == 'sample': - + if data_type_to_populate_with_notebook_data == "sample": for _row_index, _key in enumerate(first_last_run_of_each_group_dictionary.keys()): - if _row_index == 0: - df_dict["first_data_file"] = [os.path.join(output_folder, first_last_run_of_each_group_dictionary[ - _key]['first'])] - df_dict["last_data_file"] = [os.path.join(output_folder, first_last_run_of_each_group_dictionary[ - _key]['last'])] + df_dict["first_data_file"] = [ + os.path.join(output_folder, first_last_run_of_each_group_dictionary[_key]["first"]) + ] + df_dict["last_data_file"] = [ + os.path.join(output_folder, first_last_run_of_each_group_dictionary[_key]["last"]) + ] df_dict["sample_information"] = [dict_group_outer_value[_key]] else: - df_dict["first_data_file"].append(os.path.join(output_folder, - first_last_run_of_each_group_dictionary[_key][ - 'first'])) - df_dict["last_data_file"].append(os.path.join(output_folder, - first_last_run_of_each_group_dictionary[_key][ - 'last'])) + df_dict["first_data_file"].append( + os.path.join(output_folder, first_last_run_of_each_group_dictionary[_key]["first"]) + ) + df_dict["last_data_file"].append( + os.path.join(output_folder, first_last_run_of_each_group_dictionary[_key]["last"]) + ) df_dict["sample_information"].append(dict_group_outer_value[_key]) nbr_row = len(first_last_run_of_each_group_dictionary.keys()) @@ -172,35 +177,36 @@ def formatting_angle_value(str_angle_value=""): df_dict["last_ob_file"] = ["None" for _ in np.arange(nbr_row)] else: # ob - for _row_index, _key in enumerate(first_last_run_of_each_group_dictionary.keys()): - nbr_row = len(first_last_run_of_each_group_dictionary.keys()) df_dict["first_sample_file"] = ["None" for _ in np.arange(nbr_row)] df_dict["last_sample_file"] = ["None" for _ in np.arange(nbr_row)] if _row_index == 0: - df_dict["first_ob_file"] = [os.path.join(output_folder, first_last_run_of_each_group_dictionary[ - _key]['first'])] - df_dict["last_ob_file"] = [os.path.join(output_folder, first_last_run_of_each_group_dictionary[ - _key]['last'])] + df_dict["first_ob_file"] = [ + os.path.join(output_folder, first_last_run_of_each_group_dictionary[_key]["first"]) + ] + df_dict["last_ob_file"] = [ + os.path.join(output_folder, first_last_run_of_each_group_dictionary[_key]["last"]) + ] else: - df_dict["first_ob_file"].append(os.path.join(output_folder, first_last_run_of_each_group_dictionary[ - _key]['first'])) - df_dict["last_ob_file"].append(os.path.join(output_folder, first_last_run_of_each_group_dictionary[ - _key]['last'])) + df_dict["first_ob_file"].append( + os.path.join(output_folder, first_last_run_of_each_group_dictionary[_key]["first"]) + ) + df_dict["last_ob_file"].append( + os.path.join(output_folder, first_last_run_of_each_group_dictionary[_key]["last"]) + ) # default file_id dict_group_outer_value = self.parent.dict_group_outer_value for _row_index, _key in enumerate(dict_group_outer_value): - angle_value_formatted = formatting_angle_value(str_angle_value=dict_group_outer_value[_key]) _file_id = f"sample_{angle_value_formatted}" if _row_index == 0: - df_dict['file_id'] = [_file_id] + df_dict["file_id"] = [_file_id] else: - df_dict['file_id'].append(_file_id) + df_dict["file_id"].append(_file_id) df_dict["first_dc_file"] = ["None" for _ in np.arange(nbr_row)] df_dict["last_dc_file"] = ["None" for _ in np.arange(nbr_row)] @@ -224,15 +230,19 @@ def formatting_angle_value(str_angle_value=""): return df def new_excel(self): - self.parent.excel_info_widget.value = f"Working with new excel file!" + self.parent.excel_info_widget.value = "Working with new excel file!" data_type_to_populate_with_notebook_data = self.parent.sample_or_ob_radio_buttons.value - pandas_object = self._create_pandas_object(data_type_to_populate_with_notebook_data=data_type_to_populate_with_notebook_data) + pandas_object = self._create_pandas_object( + data_type_to_populate_with_notebook_data=data_type_to_populate_with_notebook_data + ) - o_interface = Interface(grand_parent=self.parent, - pandas_object=pandas_object, - data_type_to_populate_with_notebook_data=data_type_to_populate_with_notebook_data, - first_last_run_of_each_group_dictionary=self.parent.first_last_run_of_each_group_dictionary) + o_interface = Interface( + grand_parent=self.parent, + pandas_object=pandas_object, + data_type_to_populate_with_notebook_data=data_type_to_populate_with_notebook_data, + first_last_run_of_each_group_dictionary=self.parent.first_last_run_of_each_group_dictionary, + ) o_interface.show() @@ -240,23 +250,32 @@ class Interface(QMainWindow): pandas_object = None # pandas excel object excel_config = None - def __init__(self, parent=None, grand_parent=None, excel_file=None, - first_last_run_of_each_group_dictionary=None, - data_type_to_populate_with_notebook_data='sample', - pandas_object=None): - - display(format_html_message(pre_message="Check UI that popped up \ + def __init__( + self, + parent=None, + grand_parent=None, + excel_file=None, + first_last_run_of_each_group_dictionary=None, + data_type_to_populate_with_notebook_data="sample", + pandas_object=None, + ): + display( + format_html_message( + pre_message="Check UI that popped up \ (maybe hidden behind this browser!)", - spacer="")) + spacer="", + ) + ) self.grand_parent = grand_parent self.data_type_to_populate_with_notebook_data = data_type_to_populate_with_notebook_data self.output_folder = self.grand_parent.output_folder self.pandas_object = pandas_object super(Interface, self).__init__(parent) - ui_full_path = os.path.join(os.path.dirname(os.path.dirname(os.path.dirname(__file__))), - os.path.join('ui', - 'ui_grating_excel_editor.ui')) + ui_full_path = os.path.join( + os.path.dirname(os.path.dirname(os.path.dirname(__file__))), + os.path.join("ui", "ui_grating_excel_editor.ui"), + ) self.ui = load_ui(ui_full_path, baseinstance=self) self.setWindowTitle("Excel Editor") self.excel_file = excel_file @@ -273,8 +292,7 @@ def __init__(self, parent=None, grand_parent=None, excel_file=None, self.check_table_content_pushed() def widget_state_changed(self, new_value, row=0, column=0): - self.repeat_widget_changed_or_not_dialog(row_changed=row, - column_changed=column) + self.repeat_widget_changed_or_not_dialog(row_changed=row, column_changed=column) def repeat_widget_changed_or_not_dialog(self, row_changed=0, column_changed=0): o_dialog = RepeatWidgetChangeDialog(parent=self, input_row=row_changed, input_column=column_changed) @@ -283,11 +301,12 @@ def repeat_widget_changed_or_not_dialog(self, row_changed=0, column_changed=0): @staticmethod def add_output_folder_to_dictionary(first_last_run_of_each_group_dictionary=None, output_folder=None): for _key in first_last_run_of_each_group_dictionary.keys(): - first_last_run_of_each_group_dictionary[_key]['first'] = os.path.join(output_folder, - first_last_run_of_each_group_dictionary[_key]['first']) - first_last_run_of_each_group_dictionary[_key]['last'] = os.path.join(output_folder, - first_last_run_of_each_group_dictionary[ - _key]['last']) + first_last_run_of_each_group_dictionary[_key]["first"] = os.path.join( + output_folder, first_last_run_of_each_group_dictionary[_key]["first"] + ) + first_last_run_of_each_group_dictionary[_key]["last"] = os.path.join( + output_folder, first_last_run_of_each_group_dictionary[_key]["last"] + ) return first_last_run_of_each_group_dictionary def check_table_content_pushed(self): @@ -355,7 +374,7 @@ def set_color_for_that_path_that_must_exist(string, row, column): def is_roi_correct_format(roi): """check if roi has the format [##,##,##,##] where ## are integers""" roi = roi.strip() - result = re.search("\[\s*(\d*)\s*,\s*(\d*)\s*,\s*(\d*)\s*,\s*(\d*)\s*\]", roi) + result = re.search(r"\[\s*(\d*)\s*,\s*(\d*)\s*,\s*(\d*)\s*,\s*(\d*)\s*\]", roi) try: if len(result.groups()) != 4: return False @@ -440,20 +459,23 @@ def set_color_for_roi(roi, row, column): set_color_for_that_mandatory_field(file_id, _row, 24) if self.at_least_one_error_found: - show_status_message(parent=self, - message=f"At least one issue found in table! Angel will not be able to execute this " - f"excel!", - status=StatusMessageStatus.warning, - duration_s=15) + show_status_message( + parent=self, + message="At least one issue found in table! Angel will not be able to execute this " "excel!", + status=StatusMessageStatus.warning, + duration_s=15, + ) else: - show_status_message(parent=self, - message=f"File is ready to be loaded into Angel!", - status=StatusMessageStatus.ready, - duration_s=15) + show_status_message( + parent=self, + message="File is ready to be loaded into Angel!", + status=StatusMessageStatus.ready, + duration_s=15, + ) def load_config(self): - config_file = os.path.join(os.path.dirname(__file__), 'excel_config.json') + config_file = os.path.join(os.path.dirname(__file__), "excel_config.json") with open(config_file) as json_file: self.excel_config = json.load(json_file) @@ -472,15 +494,16 @@ def set_columns_width(self): def init_statusbar_message(self): if self.excel_file: - show_status_message(parent=self, - message=f"Loaded excel file {self.excel_file}!", - status=StatusMessageStatus.ready, - duration_s=10) + show_status_message( + parent=self, + message=f"Loaded excel file {self.excel_file}!", + status=StatusMessageStatus.ready, + duration_s=10, + ) else: - show_status_message(parent=self, - message="Created a new Excel file!", - status=StatusMessageStatus.ready, - duration_s=10) + show_status_message( + parent=self, message="Created a new Excel file!", status=StatusMessageStatus.ready, duration_s=10 + ) def fill_table(self): pandas_object = self.pandas_object @@ -550,20 +573,17 @@ def save_as_button_pushed(self): folder_selected = self.grand_parent.folder_selected base_folder_name = os.path.basename(folder_selected) default_file_name = os.path.join(working_dir, base_folder_name + "_angel_excel.xls") - file_and_extension_name = QFileDialog.getSaveFileName(self, - "Select or define file name", - default_file_name, - "Excel (*.xls)") + file_and_extension_name = QFileDialog.getSaveFileName( + self, "Select or define file name", default_file_name, "Excel (*.xls)" + ) file_name = file_and_extension_name[0] if file_name: table_dict = self.collect_table_dict() df = pd.DataFrame(table_dict) - writer = pd.ExcelWriter(file_name, - engine='xlsxwriter') - df.to_excel(writer, sheet_name="Tabelle1", - index=False) + writer = pd.ExcelWriter(file_name, engine="xlsxwriter") + df.to_excel(writer, sheet_name="Tabelle1", index=False) writer.save() def collect_table_dict(self): @@ -600,7 +620,6 @@ def collect_table_dict(self): osc_pixel = [] for _row in np.arange(nbr_rows): - o_table.define_row_for_getter(row=_row) first_data_file.append(o_table.get_first_data_file()) @@ -632,35 +651,38 @@ def collect_table_dict(self): used_environment.append("") osc_pixel.append("") - table_dict = OrderedDict({'first_data_file' : first_data_file, - 'last_data_file' : last_data_file, - 'first_ob_file' : first_ob_file, - 'last_ob_file' : last_ob_file, - 'first_dc_file' : first_dc_file, - 'last_dc_file' : last_dc_file, - 'period' : period, - 'images_per_step' : images_per_step, - 'rotation' : rotation, - 'fit_procedure' : fit_procedure, - 'roi' : roi, - 'gamma_filter_data/ob': gamma_filter_data_ob, - 'data_threshold_3x3' : data_threshold_3x3, - 'data_threshold_5x5' : data_threshold_5x5, - 'data_threshold_7x7' : data_threshold_7x7, - 'data_sigma_log' : data_sigma_log, - 'gamma_filter_dc' : gamma_filter_dc, - 'dc_threshold_3x3' : dc_threshold_3x3, - 'dc_threshold_5x5' : dc_threshold_5x5, - 'dc_threshold_7x7' : dc_threshold_7x7, - 'dc_sigma_log' : dc_sigma_log, - 'dc_outlier_removal' : dc_outlier_removal, - 'dc_outlier_value' : dc_outlier_value, - 'result_directory' : result_directory, - 'file_id' : file_id, - 'sample_information' : sample_information, - 'used_environment' : used_environment, - 'osc_pixel' : osc_pixel, - }) + table_dict = OrderedDict( + { + "first_data_file": first_data_file, + "last_data_file": last_data_file, + "first_ob_file": first_ob_file, + "last_ob_file": last_ob_file, + "first_dc_file": first_dc_file, + "last_dc_file": last_dc_file, + "period": period, + "images_per_step": images_per_step, + "rotation": rotation, + "fit_procedure": fit_procedure, + "roi": roi, + "gamma_filter_data/ob": gamma_filter_data_ob, + "data_threshold_3x3": data_threshold_3x3, + "data_threshold_5x5": data_threshold_5x5, + "data_threshold_7x7": data_threshold_7x7, + "data_sigma_log": data_sigma_log, + "gamma_filter_dc": gamma_filter_dc, + "dc_threshold_3x3": dc_threshold_3x3, + "dc_threshold_5x5": dc_threshold_5x5, + "dc_threshold_7x7": dc_threshold_7x7, + "dc_sigma_log": dc_sigma_log, + "dc_outlier_removal": dc_outlier_removal, + "dc_outlier_value": dc_outlier_value, + "result_directory": result_directory, + "file_id": file_id, + "sample_information": sample_information, + "used_environment": used_environment, + "osc_pixel": osc_pixel, + } + ) return table_dict @@ -687,7 +709,7 @@ def right_click_table_widget(self, position): show_browse_for_all_row = True show_copy_content_to_rest_of_column = False - if column_selected in [4, 5, 10, 12, 13, 14, 15, 17, 18,19, 20, 22, 23]: + if column_selected in [4, 5, 10, 12, 13, 14, 15, 17, 18, 19, 20, 22, 23]: show_copy_content_to_rest_of_column = True remove = menu.addAction("Remove selected row") @@ -726,20 +748,23 @@ def right_click_table_widget(self, position): self.check_table_content_pushed() elif action == browse_this_row: - self.browse(show_browse_for_folder=show_browse_for_folder, - show_browse_for_file=show_browse_for_file, - row_selected=[row_selected], - column_selected=column_selected) + self.browse( + show_browse_for_folder=show_browse_for_folder, + show_browse_for_file=show_browse_for_file, + row_selected=[row_selected], + column_selected=column_selected, + ) elif action == browse_all_row: - self.browse(show_browse_for_folder=show_browse_for_folder, - show_browse_for_file=show_browse_for_file, - row_selected=np.arange(o_table.row_count()), - column_selected=column_selected) + self.browse( + show_browse_for_folder=show_browse_for_folder, + show_browse_for_file=show_browse_for_file, + row_selected=np.arange(o_table.row_count()), + column_selected=column_selected, + ) elif action == copy_content_to_rest_of_column: - self.copy_content_to_rest_of_column(current_row=row_selected, - current_column=column_selected) + self.copy_content_to_rest_of_column(current_row=row_selected, current_column=column_selected) self.check_table_content_pushed() def copy_content_to_rest_of_column(self, current_row=0, current_column=0): @@ -749,37 +774,26 @@ def copy_content_to_rest_of_column(self, current_row=0, current_column=0): for _row in np.arange(nbr_row): o_table.set_item_with_str(row=_row, column=current_column, cell_str=value_to_copy) - def browse(self, show_browse_for_folder=False, - show_browse_for_file=True, - row_selected=[0], column_selected=0): - + def browse(self, show_browse_for_folder=False, show_browse_for_file=True, row_selected=[0], column_selected=0): folder_selected = self.grand_parent.folder_selected if show_browse_for_file: - file_and_extension_name = QFileDialog.getOpenFileName(self, - "Select file ...", - folder_selected) + file_and_extension_name = QFileDialog.getOpenFileName(self, "Select file ...", folder_selected) file_selected = file_and_extension_name[0] if file_selected: o_table = TableHandler(table_ui=self.ui.tableWidget) for _row in row_selected: - o_table.set_item_with_str(row=_row, - column=column_selected, - cell_str=file_selected) + o_table.set_item_with_str(row=_row, column=column_selected, cell_str=file_selected) elif show_browse_for_folder: folder_name = os.path.dirname(folder_selected) - folder = QFileDialog.getExistingDirectory(self, - "Select output folder ...", - folder_name) + folder = QFileDialog.getExistingDirectory(self, "Select output folder ...", folder_name) if folder: o_table = TableHandler(table_ui=self.ui.tableWidget) for _row in row_selected: - o_table.set_item_with_str(row=_row, - column=column_selected, - cell_str=folder) + o_table.set_item_with_str(row=_row, column=column_selected, cell_str=folder) self.check_table_content_pushed() diff --git a/notebooks/__code/group_images_by_cycle_for_grating_experiment/excel_table_handler.py b/notebooks/__code/group_images_by_cycle_for_grating_experiment/excel_table_handler.py index 33f922a3..8da86220 100755 --- a/notebooks/__code/group_images_by_cycle_for_grating_experiment/excel_table_handler.py +++ b/notebooks/__code/group_images_by_cycle_for_grating_experiment/excel_table_handler.py @@ -1,14 +1,12 @@ -from qtpy.QtWidgets import QTableWidgetItem, QSpinBox, QComboBox -from qtpy import QtCore import numpy as np +from qtpy import QtCore +from qtpy.QtWidgets import QComboBox, QSpinBox, QTableWidgetItem from __code._utilities.table_handler import TableHandler -from __code.group_images_by_cycle_for_grating_experiment import list_fit_procedure -from __code.group_images_by_cycle_for_grating_experiment import IndexOfColumns +from __code.group_images_by_cycle_for_grating_experiment import IndexOfColumns, list_fit_procedure class ExcelTableHandler(TableHandler): - def define_row_for_setter(self, row=0): self.row_to_set = row @@ -80,11 +78,11 @@ def set_period(self, value, method=None, new=True): period_widget.setMaximum(10) period_widget.setValue(int(value)) self.insert_widget(row=self.row_to_set, column=column, widget=period_widget) - period_widget.valueChanged.connect(lambda value, row=self.row_to_set, column=column: method(value, row, - column)) + period_widget.valueChanged.connect( + lambda value, row=self.row_to_set, column=column: method(value, row, column) + ) else: - period_widget = self.get_widget(row=self.row_to_set, - column=column) + period_widget = self.get_widget(row=self.row_to_set, column=column) period_widget.blockSignals(True) period_widget.setValue(int(value)) period_widget.blockSignals(False) @@ -103,11 +101,11 @@ def set_images_per_step(self, value, method=None, new=True): images_per_step.setMaximum(10) images_per_step.setValue(images_per_step_value) self.insert_widget(row=self.row_to_set, column=column, widget=images_per_step) - images_per_step.valueChanged.connect(lambda value, row=self.row_to_set, column=column: method(value, row, - column)) + images_per_step.valueChanged.connect( + lambda value, row=self.row_to_set, column=column: method(value, row, column) + ) else: - images_per_step = self.get_widget(row=self.row_to_set, - column=column) + images_per_step = self.get_widget(row=self.row_to_set, column=column) images_per_step.blockSignals(True) images_per_step.setValue(int(value)) images_per_step.blockSignals(False) @@ -143,11 +141,11 @@ def set_fit_procedure(self, value, method=None, new=True): index = list_procedure.index(fit_procedure_value) fit_procedure.setCurrentIndex(index) self.insert_widget(row=self.row_to_set, column=column, widget=fit_procedure) - fit_procedure.currentIndexChanged.connect(lambda value, row=self.row_to_set, column=column: method(value, - row, column)) + fit_procedure.currentIndexChanged.connect( + lambda value, row=self.row_to_set, column=column: method(value, row, column) + ) else: - fit_procedure = self.get_widget(row=self.row_to_set, - column=column) + fit_procedure = self.get_widget(row=self.row_to_set, column=column) fit_procedure.blockSignals(True) fit_procedure.setCurrentIndex(value) fit_procedure.blockSignals(False) @@ -176,17 +174,16 @@ def set_gamma_filter_data_ob(self, value, method=None, new=True): column = IndexOfColumns.gamma_filter_data_ob if new: gamma_filter_value = str(value) - values = ['yes', 'no'] + values = ["yes", "no"] gamma_filter_ui = QComboBox() gamma_filter_ui.addItems(values) gamma_filter_ui.setCurrentText(gamma_filter_value) self.insert_widget(row=self.row_to_set, column=column, widget=gamma_filter_ui) - gamma_filter_ui.currentIndexChanged.connect(lambda value, row=self.row_to_set, column=column: method(value, - row, - column)) + gamma_filter_ui.currentIndexChanged.connect( + lambda value, row=self.row_to_set, column=column: method(value, row, column) + ) else: - gamma_filter_ui = self.get_widget(row=self.row_to_set, - column=column) + gamma_filter_ui = self.get_widget(row=self.row_to_set, column=column) gamma_filter_ui.blockSignals(True) gamma_filter_ui.setCurrentIndex(value) gamma_filter_ui.blockSignals(False) @@ -208,7 +205,7 @@ def get_data_threshold_5x5(self): value_int = int(value) return value_int except ValueError: - return np.NaN + return np.nan def set_data_threshold_5x5(self, value): column = IndexOfColumns.data_threshold_5x5 @@ -223,7 +220,7 @@ def get_data_threshold_7x7(self): value_int = int(value) return value_int except ValueError: - return np.NaN + return np.nan def set_data_threshold_7x7(self, value): column = IndexOfColumns.data_threshold_7x7 @@ -238,7 +235,7 @@ def get_data_sigma_log(self): value_int = float(value) return value_int except ValueError: - return np.NaN + return np.nan def set_data_sigma_log(self, value): column = IndexOfColumns.data_sigma_log @@ -260,16 +257,16 @@ def set_gamma_filter_dc(self, value, method=None, new=True): column = IndexOfColumns.gamma_filter_dc if new: gamma_filter_value = value - values = ['yes', 'no'] + values = ["yes", "no"] gamma_filter_dc_ui = QComboBox() gamma_filter_dc_ui.addItems(values) gamma_filter_dc_ui.setCurrentText(gamma_filter_value) self.insert_widget(row=self.row_to_set, column=column, widget=gamma_filter_dc_ui) - gamma_filter_dc_ui.currentIndexChanged.connect(lambda value, row=self.row_to_set, column=column: method( - value, row, column)) + gamma_filter_dc_ui.currentIndexChanged.connect( + lambda value, row=self.row_to_set, column=column: method(value, row, column) + ) else: - gamma_filter_dc_ui = self.get_widget(row=self.row_to_set, - column=column) + gamma_filter_dc_ui = self.get_widget(row=self.row_to_set, column=column) gamma_filter_dc_ui.blockSignals(True) gamma_filter_dc_ui.setCurrentIndex(value) gamma_filter_dc_ui.blockSignals(False) @@ -281,7 +278,7 @@ def get_dc_threshold_3x3(self): value_int = int(value) return value_int except ValueError: - return np.NaN + return np.nan def set_dc_threshold_3x3(self, value): column = IndexOfColumns.dc_threshold_3x3 @@ -296,7 +293,7 @@ def get_dc_threshold_5x5(self): value_int = int(value) return value_int except ValueError: - return np.NaN + return np.nan def set_dc_threshold_5x5(self, value): column = IndexOfColumns.dc_threhsold_5x5 @@ -311,7 +308,7 @@ def get_dc_threshold_7x7(self): value_int = int(value) return value_int except ValueError: - return np.NaN + return np.nan def set_dc_threshold_7x7(self, value): column = IndexOfColumns.dc_threshold_7x7 @@ -326,7 +323,7 @@ def get_dc_log(self): value_int = float(value) return value_int except ValueError: - return np.NaN + return np.nan def set_dc_log(self, value): column = IndexOfColumns.dc_log @@ -348,16 +345,16 @@ def set_dc_outlier_removal(self, value, method=None, new=True): column = IndexOfColumns.dc_outlier_removal if new: dc_outlier_value = value - values = ['yes', 'no'] + values = ["yes", "no"] dc_outlier_ui = QComboBox() dc_outlier_ui.addItems(values) dc_outlier_ui.setCurrentText(dc_outlier_value) self.insert_widget(row=self.row_to_set, column=column, widget=dc_outlier_ui) - dc_outlier_ui.currentIndexChanged.connect(lambda value, row=self.row_to_set, column=column: method(value, - row, column)) + dc_outlier_ui.currentIndexChanged.connect( + lambda value, row=self.row_to_set, column=column: method(value, row, column) + ) else: - dc_outlier_ui = self.get_widget(row=self.row_to_set, - column=column) + dc_outlier_ui = self.get_widget(row=self.row_to_set, column=column) dc_outlier_ui.blockSignals(True) dc_outlier_ui.setCurrentIndex(value) dc_outlier_ui.blockSignals(False) @@ -369,7 +366,7 @@ def get_dc_outlier_value(self): value_int = float(value) return value_int except ValueError: - return np.NaN + return np.nan def set_dc_outlier_value(self, value): column = IndexOfColumns.dc_outlier_value diff --git a/notebooks/__code/group_images_by_cycle_for_grating_experiment/get.py b/notebooks/__code/group_images_by_cycle_for_grating_experiment/get.py index 4839f1af..f98b6a4f 100755 --- a/notebooks/__code/group_images_by_cycle_for_grating_experiment/get.py +++ b/notebooks/__code/group_images_by_cycle_for_grating_experiment/get.py @@ -2,7 +2,6 @@ class Get: - def __init__(self, parent=None): self.parent = parent @@ -12,12 +11,12 @@ def default_metadata_selected(self): value_inner, value2 = "", "" - metadata_inner = config['metadata_inner'] + metadata_inner = config["metadata_inner"] for _entry in list_metadata: if f"{metadata_inner['key']} -> {metadata_inner['name']}:" in _entry: value_inner = _entry - metadata_outer = config['metadata_outer'] + metadata_outer = config["metadata_outer"] for _entry in list_metadata: if f"{metadata_outer['key']} -> {metadata_outer['name']}:" in _entry: value_outer = _entry diff --git a/notebooks/__code/group_images_by_cycle_for_grating_experiment/group_images.py b/notebooks/__code/group_images_by_cycle_for_grating_experiment/group_images.py index 0e45c1a2..fd64e903 100755 --- a/notebooks/__code/group_images_by_cycle_for_grating_experiment/group_images.py +++ b/notebooks/__code/group_images_by_cycle_for_grating_experiment/group_images.py @@ -1,32 +1,34 @@ -import os -from IPython.display import display -import numpy as np import json +import os from collections import OrderedDict -from __code.ipywe import myfileselector +import numpy as np +from IPython.display import display + from __code import file_handler from __code._utilities.string import format_html_message -from __code.group_images_by_cycle_for_grating_experiment.group_images_by_cycle import GroupImagesByCycle +from __code.file_folder_browser import FileFolderBrowser +from __code.group_images_by_cycle_for_grating_experiment.combine_and_move_files import CombineAndMoveFiles from __code.group_images_by_cycle_for_grating_experiment.get import Get -from .utilities import make_dictionary_of_groups_new_names +from __code.group_images_by_cycle_for_grating_experiment.group_images_by_cycle import GroupImagesByCycle from __code.group_images_by_cycle_for_grating_experiment.notebook_widgets import NotebookWidgets -from __code.group_images_by_cycle_for_grating_experiment.combine_and_move_files import CombineAndMoveFiles -from __code.file_folder_browser import FileFolderBrowser +from __code.ipywe import myfileselector + +from .utilities import make_dictionary_of_groups_new_names METADATA_ERROR = 1 # range +/- for which a metadata will be considered identical THIS_FILE_PATH = os.path.dirname(__file__) -CONFIG_FILE = os.path.join(THIS_FILE_PATH, 'config.json') +CONFIG_FILE = os.path.join(THIS_FILE_PATH, "config.json") NEW_FILE_NAME_PREFIX = "image_" DEBUG = False class GroupImages: - working_dir = '' - ipts_dir = '' + working_dir = "" + ipts_dir = "" output_folder = working_dir - data_path = '' + data_path = "" metadata_key_to_select = None metadata_name_to_select = None @@ -48,16 +50,18 @@ class GroupImages: # } first_last_run_of_each_group_dictionary = None - def __init__(self, working_dir=''): + def __init__(self, working_dir=""): self.working_dir = working_dir self.ipts_dir = working_dir - self.folder_selected = '' + self.folder_selected = "" self.list_images = [] - self.file_extension = 'N/A' + self.file_extension = "N/A" self.dict_of_metadata = {} # key is 'tag->value' and value is 'tag' self.list_images_to_combine = None - self.extension_to_regular_expression_dict = {'tiff': r"^\w*_(?Prun\d+)_\w*.tiff$", - 'tif' : r"^\w*_(?Prun\d+)_\w*.tif$"} + self.extension_to_regular_expression_dict = { + "tiff": r"^\w*_(?Prun\d+)_\w*.tiff$", + "tif": r"^\w*_(?Prun\d+)_\w*.tif$", + } self.load_config() def load_config(self): @@ -66,11 +70,10 @@ def load_config(self): self.config = config def select_data_to_sort(self): - o_file_broswer = FileFolderBrowser(working_dir=self.working_dir, - next_function=self.info_files_selected) - self.files_list_widget = o_file_broswer.select_images_with_search(instruction="Select Images to Sort ...", - multiple_flag=True, - filters={"TIFF": "*.tif*"}) + o_file_broswer = FileFolderBrowser(working_dir=self.working_dir, next_function=self.info_files_selected) + self.files_list_widget = o_file_broswer.select_images_with_search( + instruction="Select Images to Sort ...", multiple_flag=True, filters={"TIFF": "*.tif*"} + ) def info_files_selected(self, selected): if not selected: @@ -82,10 +85,10 @@ def info_files_selected(self, selected): self.record_file_extension(filename=self.list_images[0]) selected = os.path.abspath(self.folder_selected) - display(format_html_message('Input folder ', selected)) - display(format_html_message('Nbr files ', str(len(self.list_images)))) - if not ('tif' in self.file_extension): - display(format_html_message('This notebook only works with TIFF images!', is_error=True)) + display(format_html_message("Input folder ", selected)) + display(format_html_message("Nbr files ", str(len(self.list_images)))) + if "tif" not in self.file_extension: + display(format_html_message("This notebook only works with TIFF images!", is_error=True)) return def define_type_of_data(self): @@ -96,7 +99,7 @@ def select_metadata_to_use_for_sorting(self): o_widgets = NotebookWidgets(parent=self) o_widgets.select_metadata_to_use_for_sorting() - def record_file_extension(self, filename=''): + def record_file_extension(self, filename=""): self.file_extension = file_handler.get_file_extension(filename) def save_key_metadata(self): @@ -104,8 +107,8 @@ def save_key_metadata(self): if (key_name_inner is None) or (key_name_outer is None): return - key_inner, name_inner = key_name_inner.split(' -> ') - key_outer, name_outer = key_name_outer.split(' -> ') + key_inner, name_inner = key_name_inner.split(" -> ") + key_outer, name_outer = key_name_outer.split(" -> ") self.metadata_name_to_select = [name_outer, name_inner] self.metadata_key_to_select = [int(key_outer), int(key_inner)] @@ -115,23 +118,26 @@ def get_metadata_name_to_select(self): metadata_outer = self.metadata_outer_selected_label.value try: - key_name_inner, _ = metadata_inner.split(':') - key_name_outer, _ = metadata_outer.split(':') + key_name_inner, _ = metadata_inner.split(":") + key_name_outer, _ = metadata_outer.split(":") except ValueError: return None, None return key_name_inner, key_name_outer def group_images(self): - o_group = GroupImagesByCycle(list_of_files=self.list_images, - list_of_metadata_key=self.metadata_key_to_select, - tolerance_value=METADATA_ERROR) + o_group = GroupImagesByCycle( + list_of_files=self.list_images, + list_of_metadata_key=self.metadata_key_to_select, + tolerance_value=METADATA_ERROR, + ) o_group.run() self.master_outer_inner_dictionary = o_group.master_outer_inner_dictionary self.dictionary_of_groups_sorted = self.format_into_dictionary_of_groups(self.master_outer_inner_dictionary) - dict_new_names = make_dictionary_of_groups_new_names(self.dictionary_of_groups_sorted, - self.dict_group_outer_value) + dict_new_names = make_dictionary_of_groups_new_names( + self.dictionary_of_groups_sorted, self.dict_group_outer_value + ) self.dictionary_of_groups_new_names = dict_new_names self.dictionary_file_vs_metadata = o_group.master_dictionary @@ -185,8 +191,10 @@ def create_first_last_run_of_each_group_dictionary(self): first_last_run_of_each_group_dictionary = {} for _group_index in np.arange(nbr_groups): _list_for_this_group = o_get.list_of_new_files_basename_only(_group_index) - first_last_run_of_each_group_dictionary[_group_index] = {'first': _list_for_this_group[0], - 'last' : _list_for_this_group[-1]} + first_last_run_of_each_group_dictionary[_group_index] = { + "first": _list_for_this_group[0], + "last": _list_for_this_group[-1], + } self.first_last_run_of_each_group_dictionary = first_last_run_of_each_group_dictionary def _get_group_number_selected(self): @@ -196,12 +204,13 @@ def _get_group_number_selected(self): def select_output_folder(self): self.output_folder_ui = myfileselector.FileSelectorPanelWithJumpFolders( - instruction='select output folder', - start_dir=os.path.dirname(self.data_path), - ipts_folder=self.ipts_dir, - next=self.copy_combine_and_rename_files, - type='directory', - newdir_toolbar_button=True) + instruction="select output folder", + start_dir=os.path.dirname(self.data_path), + ipts_folder=self.ipts_dir, + next=self.copy_combine_and_rename_files, + type="directory", + newdir_toolbar_button=True, + ) def make_dictionary_of_groups_old_names(self): """ @@ -220,9 +229,7 @@ def make_dictionary_of_groups_old_names(self): return dictionary_of_groups_old_names def copy_combine_and_rename_files(self, output_folder): - o_combine_and_move_files = CombineAndMoveFiles(parent=self, - output_folder=output_folder, - debug=DEBUG) + o_combine_and_move_files = CombineAndMoveFiles(parent=self, output_folder=output_folder, debug=DEBUG) o_combine_and_move_files.run() def generate_angel_configuration_file(self): diff --git a/notebooks/__code/group_images_by_cycle_for_grating_experiment/group_images_by_cycle.py b/notebooks/__code/group_images_by_cycle_for_grating_experiment/group_images_by_cycle.py index 631a3c3b..77902927 100755 --- a/notebooks/__code/group_images_by_cycle_for_grating_experiment/group_images_by_cycle.py +++ b/notebooks/__code/group_images_by_cycle_for_grating_experiment/group_images_by_cycle.py @@ -1,11 +1,9 @@ from collections import OrderedDict from __code.metadata_handler import MetadataHandler -from __code._utilities.list import is_this_list_already_in_those_lists_within_tolerance class GroupImagesByCycle: - def __init__(self, list_of_files=None, list_of_metadata_key=None, tolerance_value=0.1): """ @@ -26,8 +24,9 @@ def run(self): def create_master_dictionary(self): list_key_value = self.list_of_metadata_key_value_number - master_dictionary = MetadataHandler.retrieve_value_of_metadata_key(list_files=self.list_of_files, - list_key=list_key_value) + master_dictionary = MetadataHandler.retrieve_value_of_metadata_key( + list_files=self.list_of_files, list_key=list_key_value + ) clean_master_dictionary = OrderedDict() list_metadata_key = [] diff --git a/notebooks/__code/group_images_by_cycle_for_grating_experiment/notebook_widgets.py b/notebooks/__code/group_images_by_cycle_for_grating_experiment/notebook_widgets.py index 919c3fec..da0192a4 100755 --- a/notebooks/__code/group_images_by_cycle_for_grating_experiment/notebook_widgets.py +++ b/notebooks/__code/group_images_by_cycle_for_grating_experiment/notebook_widgets.py @@ -1,14 +1,13 @@ -from ipywidgets import widgets -from IPython.display import display import numpy as np +from IPython.display import display +from ipywidgets import widgets from __code._utilities.metadata_handler import MetadataHandler -from __code.group_images_by_cycle_for_grating_experiment.get import Get from __code.group_images_by_cycle_for_grating_experiment.event_handler import EventHandler +from __code.group_images_by_cycle_for_grating_experiment.get import Get class NotebookWidgets: - def __init__(self, parent=None): self.parent = parent @@ -25,69 +24,81 @@ def select_metadata_to_use_for_sorting(self): select_height = "300px" # metadata_outer - search_outer = widgets.HBox([widgets.Label("Search:"), - widgets.Text("", - layout=widgets.Layout(width="150px")), - widgets.Button(description="X", - button_style='', - layout=widgets.Layout(width="10px")) - ]) + search_outer = widgets.HBox( + [ + widgets.Label("Search:"), + widgets.Text("", layout=widgets.Layout(width="150px")), + widgets.Button(description="X", button_style="", layout=widgets.Layout(width="10px")), + ] + ) self.parent.search_outer_field = search_outer.children[1] - self.parent.search_outer_field.observe(o_event.search_metadata_outer_edited, names='value') + self.parent.search_outer_field.observe(o_event.search_metadata_outer_edited, names="value") search_outer.children[2].on_click(o_event.reset_search_metadata_outer) - result2 = widgets.HBox([widgets.HTML("Metadata Selected:", - layout=widgets.Layout(width="200px")), - widgets.Label(metadata_outer_value, - layout=widgets.Layout(width="100%"))]) + result2 = widgets.HBox( + [ + widgets.HTML("Metadata Selected:", layout=widgets.Layout(width="200px")), + widgets.Label(metadata_outer_value, layout=widgets.Layout(width="100%")), + ] + ) self.parent.metadata_outer_selected_label = result2.children[1] - metadata_outer = widgets.VBox([widgets.HTML("Outer Loop Metadata"), - search_outer, - widgets.Select(options=list_metadata, - value=metadata_outer_value, - layout=widgets.Layout(width=select_width, - height=select_height)), - result2]) + metadata_outer = widgets.VBox( + [ + widgets.HTML("Outer Loop Metadata"), + search_outer, + widgets.Select( + options=list_metadata, + value=metadata_outer_value, + layout=widgets.Layout(width=select_width, height=select_height), + ), + result2, + ] + ) self.parent.list_metadata_outer = metadata_outer.children[2] - self.parent.list_metadata_outer.observe(o_event.metadata_outer_selection_changed, names='value') + self.parent.list_metadata_outer.observe(o_event.metadata_outer_selection_changed, names="value") # metadata_inner - search_inner = widgets.HBox([widgets.Label("Search:", - ), - widgets.Text("", - layout=widgets.Layout(width="150px")), - widgets.Button(description="X", - button_style='', - layout=widgets.Layout(width="10px") - )]) + search_inner = widgets.HBox( + [ + widgets.Label( + "Search:", + ), + widgets.Text("", layout=widgets.Layout(width="150px")), + widgets.Button(description="X", button_style="", layout=widgets.Layout(width="10px")), + ] + ) self.parent.search_inner_field = search_inner.children[1] - self.parent.search_inner_field.observe(o_event.search_metadata_inner_edited, names='value') + self.parent.search_inner_field.observe(o_event.search_metadata_inner_edited, names="value") search_inner.children[2].on_click(o_event.reset_search_metadata_inner) - result1 = widgets.HBox([widgets.HTML("Metadata Selected:", - layout=widgets.Layout(width="200px")), - widgets.Label(metadata_inner_value, - layout=widgets.Layout(width="100%"))]) + result1 = widgets.HBox( + [ + widgets.HTML("Metadata Selected:", layout=widgets.Layout(width="200px")), + widgets.Label(metadata_inner_value, layout=widgets.Layout(width="100%")), + ] + ) self.parent.metadata_inner_selected_label = result1.children[1] - metadata_inner = widgets.VBox([widgets.HTML("Inner Loop Metadata"), - search_inner, - widgets.Select(options=list_metadata, - value=metadata_inner_value, - layout=widgets.Layout(width=select_width, - height=select_height)), - result1]) + metadata_inner = widgets.VBox( + [ + widgets.HTML("Inner Loop Metadata"), + search_inner, + widgets.Select( + options=list_metadata, + value=metadata_inner_value, + layout=widgets.Layout(width=select_width, height=select_height), + ), + result1, + ] + ) self.parent.list_metadata_inner = metadata_inner.children[2] - self.parent.list_metadata_inner.observe(o_event.metadata_inner_selection_changed, names='value') - - switch_button = widgets.Button(description="Switch", - icon="refresh", - layout=widgets.Layout(display="center")) - switch_layout = widgets.VBox([switch_button], - layout=widgets.Layout(height="400px", - display="center", - justify_content="space-around")) + self.parent.list_metadata_inner.observe(o_event.metadata_inner_selection_changed, names="value") + + switch_button = widgets.Button(description="Switch", icon="refresh", layout=widgets.Layout(display="center")) + switch_layout = widgets.VBox( + [switch_button], layout=widgets.Layout(height="400px", display="center", justify_content="space-around") + ) switch_button.on_click(o_event.switch_inner_outer_metadata) metadata = widgets.HBox([metadata_outer, switch_layout, metadata_inner]) @@ -103,91 +114,105 @@ def display_groups(self): nbr_groups = len(self.parent.dictionary_of_groups_sorted.keys()) # column 1 - group_label = ["Group # {}".format(_index) for _index in np.arange(nbr_groups)] + group_label = [f"Group # {_index}" for _index in np.arange(nbr_groups)] self.parent.list_group_label = group_label - vbox_left = widgets.VBox([widgets.HTML("Select Group:"), - widgets.Select(options=group_label, - layout=widgets.Layout(width="150px", - height="300px"))]) + vbox_left = widgets.VBox( + [ + widgets.HTML("Select Group:"), + widgets.Select(options=group_label, layout=widgets.Layout(width="150px", height="300px")), + ] + ) select_group_ui = vbox_left.children[1] - select_group_ui.observe(o_event.group_index_changed, 'value') + select_group_ui.observe(o_event.group_index_changed, "value") # column 2 - vbox_center = widgets.VBox([widgets.HTML("Original file names:"), - widgets.Select(options=o_get.list_of_files_basename_only(0), - layout=widgets.Layout(width="450px", - height="300px"))]) + vbox_center = widgets.VBox( + [ + widgets.HTML("Original file names:"), + widgets.Select( + options=o_get.list_of_files_basename_only(0), layout=widgets.Layout(width="450px", height="300px") + ), + ] + ) list_of_files_ui = vbox_center.children[1] - list_of_files_ui.observe(o_event.list_of_files_changed, 'value') + list_of_files_ui.observe(o_event.list_of_files_changed, "value") self.parent.list_of_files_ui = list_of_files_ui # column 3 - vbox_3 = widgets.VBox([widgets.HTML("New Name"), - widgets.Select(options=o_get.list_of_new_files_basename_only(0), - layout=widgets.Layout(width="450px", - height="300px"))]) + vbox_3 = widgets.VBox( + [ + widgets.HTML("New Name"), + widgets.Select( + options=o_get.list_of_new_files_basename_only(0), + layout=widgets.Layout(width="450px", height="300px"), + ), + ] + ) list_of_new_files_ui = vbox_3.children[1] - list_of_new_files_ui.observe(o_event.list_of_new_files_changed, 'value') + list_of_new_files_ui.observe(o_event.list_of_new_files_changed, "value") self.parent.list_of_new_files_ui = list_of_new_files_ui # column 4 - vbox_right = widgets.VBox([widgets.Label("Metadata:"), - widgets.Textarea(value="", - layout=widgets.Layout(width="200px", - height="300px"))]) + vbox_right = widgets.VBox( + [ + widgets.Label("Metadata:"), + widgets.Textarea(value="", layout=widgets.Layout(width="200px", height="300px")), + ] + ) self.parent.metadata_ui = vbox_right.children[1] - o_event.list_of_files_changed(value={'new': o_get.list_of_files_basename_only(0)[0]}) + o_event.list_of_files_changed(value={"new": o_get.list_of_files_basename_only(0)[0]}) hbox = widgets.HBox([vbox_left, vbox_center, vbox_3, vbox_right]) display(hbox) - message = widgets.HTML("INFO: if more than 1 image are in the same " - "original file names row, they will be combined using median.") + message = widgets.HTML( + "INFO: if more than 1 image are in the same " + "original file names row, they will be combined using median." + ) display(message) - bottom_hbox = widgets.HBox([widgets.HTML("Images are in:", - layout=widgets.Layout(width="150px")), - widgets.Label(self.parent.data_path, - layout=widgets.Layout(width="90%"))]) + bottom_hbox = widgets.HBox( + [ + widgets.HTML("Images are in:", layout=widgets.Layout(width="150px")), + widgets.Label(self.parent.data_path, layout=widgets.Layout(width="90%")), + ] + ) self.parent.path_ui = bottom_hbox.children[1] display(bottom_hbox) def generate_angel_configuration_file(self): - o_event = EventHandler(parent=self.parent) load_previous_excel_ui = widgets.Button( - description="Use previously created EXCEL File", - icon="edit", - layout=widgets.Layout(width="50%", - border="2px solid green") + description="Use previously created EXCEL File", + icon="edit", + layout=widgets.Layout(width="50%", border="2px solid green"), ) load_previous_excel_ui.on_click(o_event.use_excel_file_clicked) create_new_excel_ui = widgets.Button( - description="Create New Excel", - layout=widgets.Layout(width="50%", - border="2px solid green"), - icon="file-excel-o" + description="Create New Excel", + layout=widgets.Layout(width="50%", border="2px solid green"), + icon="file-excel-o", ) create_new_excel_ui.on_click(o_event.create_new_excel_clicked) hori_layout = widgets.Layout() - hori_box = widgets.HBox([load_previous_excel_ui, create_new_excel_ui], - layout=hori_layout) + hori_box = widgets.HBox([load_previous_excel_ui, create_new_excel_ui], layout=hori_layout) display(hori_box) self.parent.excel_info_widget = widgets.HTML("") display(self.parent.excel_info_widget) def define_type_of_data(self): - sample_or_ob_ui = widgets.HBox([widgets.HTML("Which type of data are you working with?", - layout=widgets.Layout(width="250px")), - widgets.RadioButtons(options=['sample', 'ob'], - value='sample', - layout=widgets.Layout(width="50%")), - widgets.HTML("
")]) + sample_or_ob_ui = widgets.HBox( + [ + widgets.HTML("Which type of data are you working with?", layout=widgets.Layout(width="250px")), + widgets.RadioButtons(options=["sample", "ob"], value="sample", layout=widgets.Layout(width="50%")), + widgets.HTML("
"), + ] + ) display(sample_or_ob_ui) self.parent.sample_or_ob_radio_buttons = sample_or_ob_ui.children[1] diff --git a/notebooks/__code/group_images_by_cycle_for_grating_experiment/repeat_widget_change_dialog.py b/notebooks/__code/group_images_by_cycle_for_grating_experiment/repeat_widget_change_dialog.py index 7109a58a..17eb2973 100755 --- a/notebooks/__code/group_images_by_cycle_for_grating_experiment/repeat_widget_change_dialog.py +++ b/notebooks/__code/group_images_by_cycle_for_grating_experiment/repeat_widget_change_dialog.py @@ -1,32 +1,31 @@ -from qtpy.QtWidgets import QMainWindow -from qtpy.QtGui import QIcon -from qtpy import QtCore, QtGui import os + import numpy as np +from qtpy import QtCore +from qtpy.QtGui import QIcon +from qtpy.QtWidgets import QMainWindow from __code import load_ui -from __code.group_images_by_cycle_for_grating_experiment.excel_table_handler import ExcelTableHandler as TableHandler from __code.group_images_by_cycle_for_grating_experiment import IndexOfColumns +from __code.group_images_by_cycle_for_grating_experiment.excel_table_handler import ExcelTableHandler as TableHandler class RepeatWidgetChangeDialog(QMainWindow): - def __init__(self, parent=None, input_row=0, input_column=0): - self.grand_parent = parent self.input_row = input_row self.input_column = input_column super(RepeatWidgetChangeDialog, self).__init__(parent) - ui_full_path = os.path.join(os.path.dirname(os.path.dirname(os.path.dirname(__file__))), - os.path.join('ui', - 'ui_grating_excel_widget_dialog.ui')) + ui_full_path = os.path.join( + os.path.dirname(os.path.dirname(os.path.dirname(__file__))), + os.path.join("ui", "ui_grating_excel_widget_dialog.ui"), + ) self.ui = load_ui(ui_full_path, baseinstance=self) self.init_widgets() def init_widgets(self): - statis_file_path = os.path.join(os.path.dirname(os.path.dirname(__file__)), "static") self.do_not_repeat_released_file = os.path.join(statis_file_path, "do_not_repeat_button_released.png") self.do_not_repeat_pressed_file = os.path.join(statis_file_path, "do_not_repeat_button_pressed.png") diff --git a/notebooks/__code/group_images_by_cycle_for_grating_experiment/sort_images_within_each_cycle.py b/notebooks/__code/group_images_by_cycle_for_grating_experiment/sort_images_within_each_cycle.py index ccbccd1f..bcdd62a9 100755 --- a/notebooks/__code/group_images_by_cycle_for_grating_experiment/sort_images_within_each_cycle.py +++ b/notebooks/__code/group_images_by_cycle_for_grating_experiment/sort_images_within_each_cycle.py @@ -1,9 +1,9 @@ from collections import OrderedDict + import pandas as pd class SortImagesWithinEachCycle: - dict_groups_filename_sorted = None def __init__(self, dict_groups_filename=None, dict_filename_metadata=None): @@ -40,7 +40,7 @@ def sort(self, dict_how_to_sort=None): def sort_files(self, list_files=None, dict_how_to_sort=None): list_metadata = self.dict_filename_metadata[list_files[0]].keys() frames = [] - name_of_columns = ['filename'] + name_of_columns = ["filename"] data = [] for _index, _file in enumerate(list_files): _entry = [_file] @@ -54,9 +54,12 @@ def sort_files(self, list_files=None, dict_how_to_sort=None): frames.append(df) result = pd.concat(frames) - new_result_sorted = result.sort_values(by=[dict_how_to_sort['1st_variable']['name'], - dict_how_to_sort['2nd_variable']['name']], - ascending=[dict_how_to_sort['1st_variable']['is_ascending'], - dict_how_to_sort['2nd_variable']['is_ascending']]) + new_result_sorted = result.sort_values( + by=[dict_how_to_sort["1st_variable"]["name"], dict_how_to_sort["2nd_variable"]["name"]], + ascending=[ + dict_how_to_sort["1st_variable"]["is_ascending"], + dict_how_to_sort["2nd_variable"]["is_ascending"], + ], + ) - return list(new_result_sorted['filename']) + return list(new_result_sorted["filename"]) diff --git a/notebooks/__code/group_images_by_cycle_for_grating_experiment/utilities.py b/notebooks/__code/group_images_by_cycle_for_grating_experiment/utilities.py index e2babb9e..ab127628 100755 --- a/notebooks/__code/group_images_by_cycle_for_grating_experiment/utilities.py +++ b/notebooks/__code/group_images_by_cycle_for_grating_experiment/utilities.py @@ -1,7 +1,6 @@ -import numpy as np from collections import OrderedDict -import shutil +import numpy as np from NeuNorm.normalization import Normalization @@ -15,18 +14,18 @@ def combine_images(output_folder="./", list_images=None, new_file_name=""): o_norm = Normalization() o_norm.load(file=list_images, notebook=False) - _data = o_norm.data['sample']['data'] - _metadata = o_norm.data['sample']['metadata'][0] + _data = o_norm.data["sample"]["data"] + _metadata = o_norm.data["sample"]["metadata"][0] _combined_data = np.median(_data, axis=0) del o_norm o_combined = Normalization() o_combined.load(data=_data) - o_combined.data['sample']['metadata'] = [_metadata] - o_combined.data['sample']['data'] = _data - o_combined.data['sample']['file_name'] = [new_file_name] - o_combined.export(folder=output_folder, data_type='sample') + o_combined.data["sample"]["metadata"] = [_metadata] + o_combined.data["sample"]["data"] = _data + o_combined.data["sample"]["file_name"] = [new_file_name] + o_combined.export(folder=output_folder, data_type="sample") del o_combined @@ -42,8 +41,6 @@ def make_dictionary_of_groups_new_names(dictionary_of_groups_sorted, dict_group_ before_decimal = int(before_and_after_decimal[0]) before_decimal_str = f"{before_decimal:03d}" str_outer_value_formatted = "_".join([before_decimal_str, before_and_after_decimal[1]]) - list_new_names = [f"group_{str_outer_value_formatted}_{_index:07d}.tiff" - for _index - in np.arange(nbr_files)] + list_new_names = [f"group_{str_outer_value_formatted}_{_index:07d}.tiff" for _index in np.arange(nbr_files)] dict_new_names[_group_index] = list_new_names return dict_new_names diff --git a/notebooks/__code/group_images_by_cycle_for_panoramic_stitching/config.json b/notebooks/__code/group_images_by_cycle_for_panoramic_stitching/config.json index 5a747f4d..33add134 100755 --- a/notebooks/__code/group_images_by_cycle_for_panoramic_stitching/config.json +++ b/notebooks/__code/group_images_by_cycle_for_panoramic_stitching/config.json @@ -7,4 +7,4 @@ "key": 65045, "name": "MotLongAxis" } -} \ No newline at end of file +} diff --git a/notebooks/__code/group_images_by_cycle_for_panoramic_stitching/group_images.py b/notebooks/__code/group_images_by_cycle_for_panoramic_stitching/group_images.py index eba9b2c6..49adbc60 100755 --- a/notebooks/__code/group_images_by_cycle_for_panoramic_stitching/group_images.py +++ b/notebooks/__code/group_images_by_cycle_for_panoramic_stitching/group_images.py @@ -1,47 +1,48 @@ -import os -from ipywidgets import widgets -from IPython.display import display -import numpy as np import glob import json +import os from collections import OrderedDict +import numpy as np +from IPython.display import display +from ipywidgets import widgets -from __code.ipywe import fileselector from __code import file_handler from __code._utilities.string import format_html_message +from __code.file_handler import copy_and_rename_files_to_folder, make_or_reset_folder from __code.group_images_by_cycle_for_panoramic_stitching.group_images_by_cycle import GroupImagesByCycle from __code.group_images_by_cycle_for_panoramic_stitching.sort_images_within_each_cycle import SortImagesWithinEachCycle -from __code.file_handler import make_or_reset_folder, copy_and_rename_files_to_folder +from __code.ipywe import fileselector METADATA_ERROR = 1 # range +/- for which a metadata will be considered identical THIS_FILE_PATH = os.path.dirname(__file__) -CONFIG_FILE = os.path.join(THIS_FILE_PATH, 'config.json') +CONFIG_FILE = os.path.join(THIS_FILE_PATH, "config.json") NEW_FILE_NAME_PREFIX = "image_" class GroupImages: - working_dir = '' - data_path = '' + working_dir = "" + data_path = "" metadata_key_to_select = None metadata_name_to_select = None - how_to_sort_within_cycle = {'1st_variable': {'name': '', - 'is_ascending': True}, - '2nd_variable': {'name': '', - 'is_ascending': True}, - } + how_to_sort_within_cycle = { + "1st_variable": {"name": "", "is_ascending": True}, + "2nd_variable": {"name": "", "is_ascending": True}, + } dictionary_of_groups_sorted = None - def __init__(self, working_dir=''): + def __init__(self, working_dir=""): self.working_dir = working_dir - self.folder_selected = '' + self.folder_selected = "" self.list_images = [] - self.file_extension = 'N/A' + self.file_extension = "N/A" self.dict_of_metadata = {} # key is 'tag->value' and value is 'tag' self.list_images_to_combine = None - self.extension_to_regular_expression_dict = {'tiff': r"^\w*_(?Prun\d+)_\w*.tiff$", - 'tif': r"^\w*_(?Prun\d+)_\w*.tif$"} + self.extension_to_regular_expression_dict = { + "tiff": r"^\w*_(?Prun\d+)_\w*.tiff$", + "tif": r"^\w*_(?Prun\d+)_\w*.tif$", + } self.load_config() def load_config(self): @@ -51,15 +52,17 @@ def load_config(self): self.metadata_key_to_select = [] self.metadata_name_to_select = [] for key in config.keys(): - self.metadata_key_to_select.append(config[key]['key']) - self.metadata_name_to_select.append(config[key]['name']) + self.metadata_key_to_select.append(config[key]["key"]) + self.metadata_name_to_select.append(config[key]["name"]) def select_input_folder(self): - self.files_list_widget = fileselector.FileSelectorPanel(instruction='select folder of images to sort', - start_dir=self.working_dir, - type='directory', - next=self.info_folder_selected, - multiple=False) + self.files_list_widget = fileselector.FileSelectorPanel( + instruction="select folder of images to sort", + start_dir=self.working_dir, + type="directory", + next=self.info_folder_selected, + multiple=False, + ) self.files_list_widget.show() def info_folder_selected(self, selected): @@ -67,23 +70,21 @@ def info_folder_selected(self, selected): self.folder_selected = selected self.list_images = self.get_list_of_images() - - self.data_path = os.path.dirname(self.list_images[0]) self.record_file_extension(filename=self.list_images[0]) selected = os.path.abspath(selected) - display(format_html_message('Input folder ', selected)) - display(format_html_message('Nbr files ', str(len(self.list_images)))) - if not ('tif' in self.file_extension): - display(format_html_message('This notebook only works with TIFF images!', is_error=True)) + display(format_html_message("Input folder ", selected)) + display(format_html_message("Nbr files ", str(len(self.list_images)))) + if "tif" not in self.file_extension: + display(format_html_message("This notebook only works with TIFF images!", is_error=True)) return # group the images self.group_images() self.display_groups() - def record_file_extension(self, filename=''): + def record_file_extension(self, filename=""): self.file_extension = file_handler.get_file_extension(filename) def get_list_of_images(self): @@ -92,9 +93,11 @@ def get_list_of_images(self): return list_of_images def group_images(self): - o_group = GroupImagesByCycle(list_of_files=self.list_images, - list_of_metadata_key=self.metadata_key_to_select, - tolerance_value=METADATA_ERROR) + o_group = GroupImagesByCycle( + list_of_files=self.list_images, + list_of_metadata_key=self.metadata_key_to_select, + tolerance_value=METADATA_ERROR, + ) o_group.run() self.dictionary_of_groups_unsorted = o_group.dictionary_of_groups dict_new_names = GroupImages.make_dictionary_of_groups_new_names(self.dictionary_of_groups_unsorted) @@ -107,9 +110,10 @@ def make_dictionary_of_groups_new_names(dictionary_of_group_unsorted): dict_new_names = OrderedDict() for _group_index in dictionary_of_group_unsorted.keys(): nbr_files = len(dictionary_of_group_unsorted[_group_index]) - list_new_names = [NEW_FILE_NAME_PREFIX + "{:04d}.tiff".format(_index) - for _index - in np.arange(general_index, general_index + nbr_files)] + list_new_names = [ + NEW_FILE_NAME_PREFIX + f"{_index:04d}.tiff" + for _index in np.arange(general_index, general_index + nbr_files) + ] dict_new_names[_group_index] = list_new_names general_index += nbr_files return dict_new_names @@ -117,35 +121,44 @@ def make_dictionary_of_groups_new_names(dictionary_of_group_unsorted): def display_groups(self): nbr_groups = len(self.dictionary_of_groups_unsorted) - group_label = ["Group # {}".format(_index) for _index in np.arange(nbr_groups)] + group_label = [f"Group # {_index}" for _index in np.arange(nbr_groups)] self.list_group_label = group_label - vbox_left = widgets.VBox([widgets.Label("Select Group:"), - widgets.Select(options=group_label, - layout=widgets.Layout(width="100px", - height="300px"))]) + vbox_left = widgets.VBox( + [ + widgets.Label("Select Group:"), + widgets.Select(options=group_label, layout=widgets.Layout(width="100px", height="300px")), + ] + ) select_group_ui = vbox_left.children[1] - select_group_ui.observe(self.group_index_changed, 'value') - vbox_center = widgets.VBox([widgets.Label("Original file names:"), - widgets.Select(options=self.get_list_of_files_basename_only(0), - layout=widgets.Layout(width="450px", - height="300px"))]) + select_group_ui.observe(self.group_index_changed, "value") + vbox_center = widgets.VBox( + [ + widgets.Label("Original file names:"), + widgets.Select( + options=self.get_list_of_files_basename_only(0), + layout=widgets.Layout(width="450px", height="300px"), + ), + ] + ) list_of_files_ui = vbox_center.children[1] - list_of_files_ui.observe(self.list_of_files_changed, 'value') + list_of_files_ui.observe(self.list_of_files_changed, "value") self.list_of_files_ui = list_of_files_ui - vbox_right = widgets.VBox([widgets.Label("Metadata:"), - widgets.Textarea(value="", - layout=widgets.Layout(width="200px", - height="300px"))]) + vbox_right = widgets.VBox( + [ + widgets.Label("Metadata:"), + widgets.Textarea(value="", layout=widgets.Layout(width="200px", height="300px")), + ] + ) self.metadata_ui = vbox_right.children[1] - self.list_of_files_changed(value={'new': self.get_list_of_files_basename_only(0)[0]}) + self.list_of_files_changed(value={"new": self.get_list_of_files_basename_only(0)[0]}) hbox = widgets.HBox([vbox_left, vbox_center, vbox_right]) display(hbox) - bottom_hbox = widgets.HBox([widgets.Label("Images are in:"), - widgets.Label(self.data_path, - layout=widgets.Layout(width="90%"))]) + bottom_hbox = widgets.HBox( + [widgets.Label("Images are in:"), widgets.Label(self.data_path, layout=widgets.Layout(width="90%"))] + ) self.path_ui = bottom_hbox.children[1] display(bottom_hbox) @@ -155,82 +168,96 @@ def get_list_of_files_basename_only(self, index): return short_list_files def group_index_changed(self, value): - new_group_selected = value['new'] + new_group_selected = value["new"] _, new_group_index = new_group_selected.split(" # ") short_list_files = self.get_list_of_files_basename_only(int(new_group_index)) self.list_of_files_ui.options = short_list_files def list_of_files_changed(self, value): dictionary_file_vs_metadata = self.dictionary_file_vs_metadata - file_selected = value['new'] + file_selected = value["new"] full_file_name_selected = os.path.join(self.data_path, file_selected) string_to_display = "" for _key, _value in dictionary_file_vs_metadata[full_file_name_selected].items(): - string_to_display += "{}: {}\n".format(_key, _value) + string_to_display += f"{_key}: {_value}\n" self.metadata_ui.value = string_to_display def how_to_sort_files(self): - tab_titles = ['1st variable', '2nd variable'] - - vbox1 = widgets.VBox([widgets.Label("Metadata name:", - layout=widgets.Layout(width="150px")), - widgets.Select(options=self.metadata_name_to_select, - value=self.metadata_name_to_select[0], - layout=widgets.Layout(width="400px", - height="50px")), - widgets.RadioButtons(options=['Ascending', 'Descending'], - value='Ascending')]) + tab_titles = ["1st variable", "2nd variable"] + + vbox1 = widgets.VBox( + [ + widgets.Label("Metadata name:", layout=widgets.Layout(width="150px")), + widgets.Select( + options=self.metadata_name_to_select, + value=self.metadata_name_to_select[0], + layout=widgets.Layout(width="400px", height="50px"), + ), + widgets.RadioButtons(options=["Ascending", "Descending"], value="Ascending"), + ] + ) name_of_first_metadata_ui = vbox1.children[1] - name_of_first_metadata_ui.observe(self.name_of_first_metadata_changed, 'value') + name_of_first_metadata_ui.observe(self.name_of_first_metadata_changed, "value") self.name_of_first_metadata_ui = name_of_first_metadata_ui sorting_type_var1_ui = vbox1.children[2] - sorting_type_var1_ui.observe(self.sorting_algorithm_variable1_changed, 'value') - is_ascending = True if sorting_type_var1_ui.value == 'Ascending' else False - self.how_to_sort_within_cycle['1st_variable'] = {'name': name_of_first_metadata_ui.value, - 'is_ascending': is_ascending} - - vbox2 = widgets.VBox([widgets.Label("Metadata name:", - layout=widgets.Layout(width="150px")), - widgets.Select(options=self.metadata_name_to_select, - value=self.metadata_name_to_select[1], - layout=widgets.Layout(width="400px", - height="50px")), - widgets.RadioButtons(options=['Ascending', 'Descending'], - value='Ascending')]) + sorting_type_var1_ui.observe(self.sorting_algorithm_variable1_changed, "value") + is_ascending = True if sorting_type_var1_ui.value == "Ascending" else False + self.how_to_sort_within_cycle["1st_variable"] = { + "name": name_of_first_metadata_ui.value, + "is_ascending": is_ascending, + } + + vbox2 = widgets.VBox( + [ + widgets.Label("Metadata name:", layout=widgets.Layout(width="150px")), + widgets.Select( + options=self.metadata_name_to_select, + value=self.metadata_name_to_select[1], + layout=widgets.Layout(width="400px", height="50px"), + ), + widgets.RadioButtons(options=["Ascending", "Descending"], value="Ascending"), + ] + ) name_of_second_metadata_ui = vbox2.children[1] - name_of_second_metadata_ui.observe(self.name_of_second_metadata_changed, 'value') + name_of_second_metadata_ui.observe(self.name_of_second_metadata_changed, "value") self.name_of_second_metadata_ui = name_of_second_metadata_ui sorting_type_var2_ui = vbox2.children[2] - sorting_type_var2_ui.observe(self.sorting_algorithm_variable2_changed, 'value') - is_ascending = True if sorting_type_var2_ui.value == 'Ascending' else False - self.how_to_sort_within_cycle['2nd_variable'] = {'name': name_of_second_metadata_ui.value, - 'is_ascending': is_ascending} + sorting_type_var2_ui.observe(self.sorting_algorithm_variable2_changed, "value") + is_ascending = True if sorting_type_var2_ui.value == "Ascending" else False + self.how_to_sort_within_cycle["2nd_variable"] = { + "name": name_of_second_metadata_ui.value, + "is_ascending": is_ascending, + } - self.how_to_sort_within_cycle['2nd_variable']['name'] = name_of_second_metadata_ui.value + self.how_to_sort_within_cycle["2nd_variable"]["name"] = name_of_second_metadata_ui.value tab = widgets.Tab([vbox1, vbox2]) [tab.set_title(i, title) for i, title in enumerate(tab_titles)] display(tab) # second part - hori1 = widgets.HBox([widgets.Label("Select Group", - layout=widgets.Layout(width="100px")), - widgets.Dropdown(options=self.list_group_label, - layout=widgets.Layout(width="150px"))]) + hori1 = widgets.HBox( + [ + widgets.Label("Select Group", layout=widgets.Layout(width="100px")), + widgets.Dropdown(options=self.list_group_label, layout=widgets.Layout(width="150px")), + ] + ) self.select_group_ui = hori1.children[1] - self.select_group_ui.observe(self.selection_of_group_changed, 'value') - - vbox3 = widgets.VBox([widgets.Label("Old name", - layout=widgets.Layout(width="200px")), - widgets.Select(options="", - layout=widgets.Layout(width="400px", - height="300px"))]) - - vbox4 = widgets.VBox([widgets.Label("New name", - layout=widgets.Layout(width="200px")), - widgets.Select(options="", - layout=widgets.Layout(width="400px", - height="300px"))]) + self.select_group_ui.observe(self.selection_of_group_changed, "value") + + vbox3 = widgets.VBox( + [ + widgets.Label("Old name", layout=widgets.Layout(width="200px")), + widgets.Select(options="", layout=widgets.Layout(width="400px", height="300px")), + ] + ) + + vbox4 = widgets.VBox( + [ + widgets.Label("New name", layout=widgets.Layout(width="200px")), + widgets.Select(options="", layout=widgets.Layout(width="400px", height="300px")), + ] + ) hori2 = widgets.HBox([vbox3, vbox4]) self.old_name_ui = vbox3.children[1] @@ -242,8 +269,10 @@ def how_to_sort_files(self): def update_old_name_order(self): how_to_sort_within_cycle = self.how_to_sort_within_cycle - o_sort = SortImagesWithinEachCycle(dict_groups_filename=self.dictionary_of_groups_unsorted, - dict_filename_metadata=self.dictionary_file_vs_metadata) + o_sort = SortImagesWithinEachCycle( + dict_groups_filename=self.dictionary_of_groups_unsorted, + dict_filename_metadata=self.dictionary_file_vs_metadata, + ) o_sort.sort(dict_how_to_sort=how_to_sort_within_cycle) self.dictionary_of_groups_sorted = o_sort.dict_groups_filename_sorted @@ -258,28 +287,28 @@ def _get_group_number_selected(self): return int(group_number) def sorting_algorithm_variable1_changed(self, value): - new_value = value['new'] - is_ascending = True if new_value == 'Ascending' else False - self.how_to_sort_within_cycle['1st_variable']['is_ascending'] = is_ascending + new_value = value["new"] + is_ascending = True if new_value == "Ascending" else False + self.how_to_sort_within_cycle["1st_variable"]["is_ascending"] = is_ascending self.update_old_name_order() def sorting_algorithm_variable2_changed(self, value): - new_value = value['new'] - is_ascending = True if new_value == 'Ascending' else False - self.how_to_sort_within_cycle['2nd_variable']['is_ascending'] = is_ascending + new_value = value["new"] + is_ascending = True if new_value == "Ascending" else False + self.how_to_sort_within_cycle["2nd_variable"]["is_ascending"] = is_ascending self.update_old_name_order() def name_of_first_metadata_changed(self, value): - old_value = value['old'] - new_value = value['new'] - self.how_to_sort_within_cycle['1st_variable']['name'] = new_value + old_value = value["old"] + new_value = value["new"] + self.how_to_sort_within_cycle["1st_variable"]["name"] = new_value self.name_of_second_metadata_ui.value = old_value self.update_old_name_order() def name_of_second_metadata_changed(self, value): - old_value = value['old'] - new_value = value['new'] - self.how_to_sort_within_cycle['2nd_variable']['name'] = new_value + old_value = value["old"] + new_value = value["new"] + self.how_to_sort_within_cycle["2nd_variable"]["name"] = new_value self.name_of_first_metadata_ui.value = old_value self.update_old_name_order() @@ -291,11 +320,13 @@ def selection_of_group_changed(self, value=None): self.new_name_ui.options = list_new_names def select_output_folder(self): - output_folder_widget = fileselector.FileSelectorPanel(instruction='select output folder', - start_dir=os.path.dirname(self.data_path), - type='directory', - next=self.create_folder_for_each_cycle, - multiple=False) + output_folder_widget = fileselector.FileSelectorPanel( + instruction="select output folder", + start_dir=os.path.dirname(self.data_path), + type="directory", + next=self.create_folder_for_each_cycle, + multiple=False, + ) output_folder_widget.show() def create_folder_for_each_cycle(self, output_folder): @@ -309,25 +340,22 @@ def create_folder_for_each_cycle(self, output_folder): dictionary_of_groups_sorted = self.dictionary_of_groups_sorted dictionary_of_groups_new_names = self.dictionary_of_groups_new_names nbr_groups = len(dictionary_of_groups_sorted.keys()) - hbox = widgets.HBox([widgets.IntProgress(value=0, - min=0, - max=nbr_groups), - widgets.Label("0/{}".format(nbr_groups))]) + hbox = widgets.HBox([widgets.IntProgress(value=0, min=0, max=nbr_groups), widgets.Label(f"0/{nbr_groups}")]) progress_ui = hbox.children[0] label_ui = hbox.children[1] display(hbox) for _group_index in dictionary_of_groups_sorted.keys(): - full_folder_name = os.path.join(output_folder, 'group#{:02d}'.format(_group_index)) + full_folder_name = os.path.join(output_folder, f"group#{_group_index:02d}") make_or_reset_folder(full_folder_name) - copy_and_rename_files_to_folder(list_files=dictionary_of_groups_sorted[_group_index], - new_list_files_names=dictionary_of_groups_new_names[_group_index], - output_folder=full_folder_name) + copy_and_rename_files_to_folder( + list_files=dictionary_of_groups_sorted[_group_index], + new_list_files_names=dictionary_of_groups_new_names[_group_index], + output_folder=full_folder_name, + ) progress_ui.value = _group_index + 1 - label_ui.value = "{}/{}".format(_group_index+1, nbr_groups) + label_ui.value = f"{_group_index+1}/{nbr_groups}" hbox.close() - message = "{} folders have been created".format(nbr_groups) - display(format_html_message(pre_message=message, - spacer=" in ", - message=output_folder)) + message = f"{nbr_groups} folders have been created" + display(format_html_message(pre_message=message, spacer=" in ", message=output_folder)) diff --git a/notebooks/__code/group_images_by_cycle_for_panoramic_stitching/group_images_by_cycle.py b/notebooks/__code/group_images_by_cycle_for_panoramic_stitching/group_images_by_cycle.py index 3b9e386e..54b782ab 100755 --- a/notebooks/__code/group_images_by_cycle_for_panoramic_stitching/group_images_by_cycle.py +++ b/notebooks/__code/group_images_by_cycle_for_panoramic_stitching/group_images_by_cycle.py @@ -1,12 +1,10 @@ from collections import OrderedDict - -from __code.metadata_handler import MetadataHandler from __code._utilities.list import is_this_list_already_in_those_lists_within_tolerance +from __code.metadata_handler import MetadataHandler class GroupImagesByCycle: - def __init__(self, list_of_files=None, list_of_metadata_key=None, tolerance_value=0.1): """ @@ -28,9 +26,9 @@ def run(self): def create_master_dictionary(self): list_key_value = self.list_of_metadata_key_value_number print(f"list_key_value: {list_key_value}") - master_dictionary = MetadataHandler.retrieve_value_of_metadata_key(list_files=self.list_of_files, - list_key=list_key_value, - is_from_notebook=True) + master_dictionary = MetadataHandler.retrieve_value_of_metadata_key( + list_files=self.list_of_files, list_key=list_key_value, is_from_notebook=True + ) clean_master_dictionary = OrderedDict() list_metadata_key = [] @@ -63,9 +61,9 @@ def group(self): _value = float(_file_dictionary[_key]) list_of_metadata_for_that_file.append(_value) - if not is_this_list_already_in_those_lists_within_tolerance(list_of_metadata_for_that_file, - full_list_of_metadata_list, - tolerance=self.tolerance_value): + if not is_this_list_already_in_those_lists_within_tolerance( + list_of_metadata_for_that_file, full_list_of_metadata_list, tolerance=self.tolerance_value + ): full_list_of_metadata_list.append(list_of_metadata_for_that_file) list_files_in_that_group.append(_file) else: diff --git a/notebooks/__code/group_images_by_cycle_for_panoramic_stitching/sort_images_within_each_cycle.py b/notebooks/__code/group_images_by_cycle_for_panoramic_stitching/sort_images_within_each_cycle.py index ccbccd1f..bcdd62a9 100755 --- a/notebooks/__code/group_images_by_cycle_for_panoramic_stitching/sort_images_within_each_cycle.py +++ b/notebooks/__code/group_images_by_cycle_for_panoramic_stitching/sort_images_within_each_cycle.py @@ -1,9 +1,9 @@ from collections import OrderedDict + import pandas as pd class SortImagesWithinEachCycle: - dict_groups_filename_sorted = None def __init__(self, dict_groups_filename=None, dict_filename_metadata=None): @@ -40,7 +40,7 @@ def sort(self, dict_how_to_sort=None): def sort_files(self, list_files=None, dict_how_to_sort=None): list_metadata = self.dict_filename_metadata[list_files[0]].keys() frames = [] - name_of_columns = ['filename'] + name_of_columns = ["filename"] data = [] for _index, _file in enumerate(list_files): _entry = [_file] @@ -54,9 +54,12 @@ def sort_files(self, list_files=None, dict_how_to_sort=None): frames.append(df) result = pd.concat(frames) - new_result_sorted = result.sort_values(by=[dict_how_to_sort['1st_variable']['name'], - dict_how_to_sort['2nd_variable']['name']], - ascending=[dict_how_to_sort['1st_variable']['is_ascending'], - dict_how_to_sort['2nd_variable']['is_ascending']]) + new_result_sorted = result.sort_values( + by=[dict_how_to_sort["1st_variable"]["name"], dict_how_to_sort["2nd_variable"]["name"]], + ascending=[ + dict_how_to_sort["1st_variable"]["is_ascending"], + dict_how_to_sort["2nd_variable"]["is_ascending"], + ], + ) - return list(new_result_sorted['filename']) + return list(new_result_sorted["filename"]) diff --git a/notebooks/__code/gui_widgets.py b/notebooks/__code/gui_widgets.py index a3ea203a..c0f0c4d2 100755 --- a/notebooks/__code/gui_widgets.py +++ b/notebooks/__code/gui_widgets.py @@ -1,83 +1,73 @@ try: - from PyQt4.QtGui import QFileDialog from PyQt4 import QtCore, QtGui + from PyQt4.QtGui import QFileDialog except ImportError: from PyQt5.QtWidgets import QFileDialog - from PyQt5 import QtCore, QtGui -import os -from __code.decorators import format_directory import platform +from __code.decorators import format_directory + @format_directory -def gui_dname(dir=None, message=''): +def gui_dname(dir=None, message=""): """Select files""" - if message == '': - message = 'Select Folder ...' - dirname = QFileDialog.getExistingDirectory(None, message, - dir, - QFileDialog.ShowDirsOnly) + if message == "": + message = "Select Folder ..." + dirname = QFileDialog.getExistingDirectory(None, message, dir, QFileDialog.ShowDirsOnly) - if platform.system() == 'Linux': + if platform.system() == "Linux": return dirname else: return dirname + @format_directory -def gui_fname(dir=None, message='', ext='tif'): - """Select one or more file via a dialog and returns the file name. - """ - _filter = '' - if ext == 'tif': +def gui_fname(dir=None, message="", ext="tif"): + """Select one or more file via a dialog and returns the file name.""" + _filter = "" + if ext == "tif": _filter = "TIFF (*.tif)" - elif ext == 'fits': + elif ext == "fits": _filter = "FITS (*.fits)" - elif ext == 'txt': + elif ext == "txt": _filter = "ascii (*.txt)" - elif ext == 'dat': + elif ext == "dat": _filter = "data (*.dat)" - elif ext == 'csv': - _filter = 'ascii (*.csv)' + elif ext == "csv": + _filter = "ascii (*.csv)" else: - _filter = '{} (*{})'.format(ext, ext) + _filter = f"{ext} (*{ext})" _filter = _filter + ";;All (*.*)" - - fname = QFileDialog.getOpenFileNames(None, message, - directory = dir, - filter = _filter) + + fname = QFileDialog.getOpenFileNames(None, message, directory=dir, filter=_filter) if isinstance(fname, tuple): return fname[0] return fname + @format_directory -def gui_fimage(dir=None, message=''): - """Select one or more image via a dialog and returns the file name. - """ - _filter = 'FITS (*.fits);; TIFF (*.tiff);; TIFF (*.tif)' - fname = QFileDialog.getOpenFileNames(None, message, - directory = dir, - filter = _filter) +def gui_fimage(dir=None, message=""): + """Select one or more image via a dialog and returns the file name.""" + _filter = "FITS (*.fits);; TIFF (*.tiff);; TIFF (*.tif)" + fname = QFileDialog.getOpenFileNames(None, message, directory=dir, filter=_filter) return fname - + + @format_directory def gui_single_file(dir=None): - """Select one o file via a dialog and returns the file name. - """ - if dir is None: - dir = '/' - fname = QFileDialog.getOpenFileName(None, "Select file...", - dir, filter="Spectra File (*_Spectra.txt)") + """Select one o file via a dialog and returns the file name.""" + if dir is None: + dir = "/" + fname = QFileDialog.getOpenFileName(None, "Select file...", dir, filter="Spectra File (*_Spectra.txt)") return fname @format_directory def gui_csv_fname(dir=None): - """Select one or more file via a dialog and returns the file name. - """ - if dir is None: - dir = '/' - fname = QFileDialog.getOpenFileNames(None, "Select file(s)...", - dir, filter="Fits files(*.csv)") + """Select one or more file via a dialog and returns the file name.""" + if dir is None: + dir = "/" + fname = QFileDialog.getOpenFileNames(None, "Select file(s)...", dir, filter="Fits files(*.csv)") return fname diff --git a/notebooks/__code/hfir_reactor_element_analysis/all_peaks_found_event_handler.py b/notebooks/__code/hfir_reactor_element_analysis/all_peaks_found_event_handler.py index 671ae701..939a2418 100755 --- a/notebooks/__code/hfir_reactor_element_analysis/all_peaks_found_event_handler.py +++ b/notebooks/__code/hfir_reactor_element_analysis/all_peaks_found_event_handler.py @@ -1,16 +1,14 @@ -from qtpy.QtWidgets import QMenu from qtpy import QtGui +from qtpy.QtWidgets import QMenu from __code._utilities.table_handler import TableHandler class AllPeaksFoundEventHandler: - def __init__(self, parent=None): self.parent = parent def right_click(self): - o_table = TableHandler(table_ui=self.parent.ui.elements_position_tableWidget) row, col = o_table.get_cell_selected() @@ -18,11 +16,11 @@ def right_click(self): list_of_images = self.parent.list_of_images file_name_value = list_of_images[row] - angle_value = global_list_of_xy_max[file_name_value]['x'][col] + angle_value = global_list_of_xy_max[file_name_value]["x"][col] menu = QMenu(self.parent) - file_name = menu.addAction("file name: {}".format(file_name_value)) - angle = menu.addAction("angle: {}".format(angle_value)) + file_name = menu.addAction(f"file name: {file_name_value}") + angle = menu.addAction(f"angle: {angle_value}") action = menu.exec_(QtGui.QCursor.pos()) diff --git a/notebooks/__code/hfir_reactor_element_analysis/event_handler.py b/notebooks/__code/hfir_reactor_element_analysis/event_handler.py index 069dc4b0..36247c61 100755 --- a/notebooks/__code/hfir_reactor_element_analysis/event_handler.py +++ b/notebooks/__code/hfir_reactor_element_analysis/event_handler.py @@ -1,13 +1,12 @@ +import numpy as np from qtpy import QtGui from qtpy.QtWidgets import QMenu -import numpy as np +from __code._utilities.array import get_closest_index, reject_n_outliers from __code._utilities.table_handler import TableHandler -from __code._utilities.array import reject_n_outliers, get_closest_index class EventHandler: - def __init__(self, parent=None): self.parent = parent @@ -55,9 +54,9 @@ def list_of_images_selection_changed(self): self.parent.profiles_plot.axes.clear() self.parent.profiles_plot.draw() - plot_type = '-' + plot_type = "-" if self.parent.ui.plus_radioButton.isChecked(): - plot_type = '+' + plot_type = "+" elif self.parent.ui.point_radioButton.isChecked(): plot_type = "." @@ -68,19 +67,19 @@ def list_of_images_selection_changed(self): if self.parent.global_list_of_xy_max: for _file in list_file_selected: - x_max = self.parent.global_list_of_xy_max[_file]['x'] - y_max = self.parent.global_list_of_xy_max[_file]['y'] - self.parent.profiles_plot.axes.plot(x_max, y_max, '*r') + x_max = self.parent.global_list_of_xy_max[_file]["x"] + y_max = self.parent.global_list_of_xy_max[_file]["y"] + self.parent.profiles_plot.axes.plot(x_max, y_max, "*r") if self.parent.ui.display_ideal_position_checkBox.isChecked(): list_mean_position_of_elements = self.get_list_mean_position_of_elements() - if not (list_mean_position_of_elements is None): + if list_mean_position_of_elements is not None: for _value in list_mean_position_of_elements: - self.parent.profiles_plot.axes.axvline(_value, linestyle='-', color='blue') + self.parent.profiles_plot.axes.axvline(_value, linestyle="-", color="blue") # thresholds threshold = self.parent.ui.threshold_slider.value() - self.parent.profiles_plot.axes.axhline(threshold, linestyle='--', color='red') + self.parent.profiles_plot.axes.axhline(threshold, linestyle="--", color="red") self.parent.profiles_plot.draw() def get_profile_of_file_index(self, file_index): @@ -117,18 +116,16 @@ def calculate_elements_position(self): for _file_index, _file in enumerate(list_of_images): working_y_axis = np.array(pandas_obj[_file]) _dict = self.calculate_list_of_local_max(working_y_axis=working_y_axis) - _dict = {'x': _dict['x'], - 'y': _dict['y']} + _dict = {"x": _dict["x"], "y": _dict["y"]} global_list_of_xy_max[_file] = _dict - self.parent.eventProgress.setValue(_file_index+1) + self.parent.eventProgress.setValue(_file_index + 1) QtGui.QGuiApplication.processEvents() self.parent.global_list_of_xy_max = global_list_of_xy_max self.parent.eventProgress.setVisible(False) def calculate_list_of_local_max(self, working_y_axis=None): - working_x_axis = self.working_x_axis threshold = self.parent.ui.threshold_slider.value() @@ -138,10 +135,8 @@ def calculate_list_of_local_max(self, working_y_axis=None): x_of_local_max = 0 minimum_number_of_points_to_high_region = self.parent.ui.minimum_number_of_points_spinBox.value() number_of_points_in_current_high_region = 0 - for _x_value, _y_value in zip(working_x_axis, working_y_axis): - + for _x_value, _y_value in zip(working_x_axis, working_y_axis, strict=False): if _y_value < threshold: - if local_y_max != 0: if number_of_points_in_current_high_region >= minimum_number_of_points_to_high_region: list_of_x_of_local_max.append(x_of_local_max) @@ -152,15 +147,13 @@ def calculate_list_of_local_max(self, working_y_axis=None): continue else: - if _y_value > local_y_max: x_of_local_max = _x_value local_y_max = _y_value number_of_points_in_current_high_region += 1 - return {'x': list_of_x_of_local_max, - 'y': list_of_y_max} + return {"x": list_of_x_of_local_max, "y": list_of_y_max} def populate_elements_position_tab(self): self.populate_elements_position_plot() @@ -177,8 +170,8 @@ def populate_elements_position_plot(self): plot_type = "." for _file_index, _file in enumerate(list_of_images): - x_axis = global_list_of_xy_max[_file]['x'] - y_axis = np.ones((len(x_axis)))*(_file_index+1) + x_axis = global_list_of_xy_max[_file]["x"] + y_axis = np.ones(len(x_axis)) * (_file_index + 1) self.parent.elements_position.axes.plot(x_axis, y_axis, plot_type) self.parent.elements_position.axes.invert_yaxis() @@ -202,10 +195,11 @@ def populate_elements_position_table(self): nbr_column = 0 for _row, _file in enumerate(list_of_images): o_table.insert_empty_row(_row) - x_axis = global_list_of_xy_max[_file]['x'] + x_axis = global_list_of_xy_max[_file]["x"] raw_table.append(x_axis) - if len(x_axis) > nbr_column: nbr_column = len(x_axis) + if len(x_axis) > nbr_column: + nbr_column = len(x_axis) for _column in np.arange(len(x_axis)): if _row == 0: o_table.insert_column(_column) @@ -213,8 +207,8 @@ def populate_elements_position_table(self): nbr_row = len(list_of_images) - col_width = np.ones((nbr_column)) * 5 - row_height = np.ones((nbr_row)) * 5 + col_width = np.ones(nbr_column) * 5 + row_height = np.ones(nbr_row) * 5 o_table.set_column_width(column_width=col_width) o_table.set_row_height(row_height=row_height) @@ -238,13 +232,15 @@ def display_background_error_in_elements_position_table(self): tolerance = self.parent.ui.tolerance_value_doubleSpinBox.value() mean_angle_offset_between_elements = self.get_mean_angle_offset_between_elements() - list_average = np.arange(list_mean_position_of_elements[0], - nbr_column*mean_angle_offset_between_elements, - mean_angle_offset_between_elements) + list_average = np.arange( + list_mean_position_of_elements[0], + nbr_column * mean_angle_offset_between_elements, + mean_angle_offset_between_elements, + ) data = self.parent.elements_position_formatted_raw_table - data_filename = '/Users/j35/Desktop/data_file' + data_filename = "/Users/j35/Desktop/data_file" np.save(data_filename, data, allow_pickle=True) for _row_index, _row in enumerate(data): @@ -259,9 +255,9 @@ def display_background_error_in_elements_position_table(self): _error_row.append(0) break - while ((_element_position < (list_average[_reference_index_element] - tolerance)) or - (_element_position > (list_average[_reference_index_element] + tolerance))): - + while (_element_position < (list_average[_reference_index_element] - tolerance)) or ( + _element_position > (list_average[_reference_index_element] + tolerance) + ): if _element_position < list_average[_reference_index_element]: _error_row.append(0) found_flag = False @@ -275,8 +271,7 @@ def display_background_error_in_elements_position_table(self): if found_flag: # find the closest place where this _element_position goes - nearest_index = get_closest_index(array=list_average, - value=_element_position) + nearest_index = get_closest_index(array=list_average, value=_element_position) ideal_table_data_error[_row_index, nearest_index] = 1 _reference_index_element += 1 @@ -294,9 +289,7 @@ def display_background_error_in_elements_position_table(self): for _column, _state in enumerate(error_table[_row]): if _state == 0: if o_table.is_item(row=_row, column=_column): - o_table.set_background_color(row=_row, - column=_column, - qcolor=QtGui.QColor(150, 0, 0)) + o_table.set_background_color(row=_row, column=_column, qcolor=QtGui.QColor(150, 0, 0)) def display_missing_peaks_table(self): ideal_table_data_error = self.parent.ideal_table_data_error @@ -315,12 +308,10 @@ def display_missing_peaks_table(self): color = QtGui.QColor(0, 255, 0) else: color = QtGui.QColor(255, 0, 0) - o_table.set_background_color(row=_row, - column=_column, - qcolor=color) + o_table.set_background_color(row=_row, column=_column, qcolor=color) - col_width = np.ones((nbr_column)) * 5 - row_height = np.ones((nbr_row)) * 5 + col_width = np.ones(nbr_column) * 5 + row_height = np.ones(nbr_row) * 5 o_table.set_column_width(column_width=col_width) o_table.set_row_height(row_height=row_height) @@ -342,8 +333,9 @@ def populate_error_table_backup(self): # if a value > 1 is found later on when checking the table, an error will be displayed for that # cell elif col_index == -1: - closer_col_index = get_closest_index(value=_col_value, - array=self.parent.list_mean_position_of_elements) + closer_col_index = get_closest_index( + value=_col_value, array=self.parent.list_mean_position_of_elements + ) elements_position_error_table[_row_index, closer_col_index] = -10 # very low value to make sure # an error will show up in this cell @@ -356,19 +348,17 @@ def populate_error_table_backup(self): o_table.insert_empty_column(_col_index) o_table.insert_empty_row(_row_index) _value = elements_position_error_table[_row_index, _col_index] - o_table.insert_item_with_float(row=_row_index, - column=_col_index, - float_value=_value) + o_table.insert_item_with_float(row=_row_index, column=_col_index, float_value=_value) - def is_value_within_expected_tolerance(self, value_to_check=None, - value_expected=None): + def is_value_within_expected_tolerance(self, value_to_check=None, value_expected=None): tolerance_value = self.tolerance_value - if (value_to_check >= (value_expected - tolerance_value)) and \ - (value_to_check <= (value_expected + tolerance_value)): + if (value_to_check >= (value_expected - tolerance_value)) and ( + value_to_check <= (value_expected + tolerance_value) + ): return True return False - def where_value_found_within_expected_tolerance(self, value=np.NaN): + def where_value_found_within_expected_tolerance(self, value=np.nan): """ will return the index where the value was found within the expected tolerance. If none can be found, it will return -1 @@ -377,8 +367,7 @@ def where_value_found_within_expected_tolerance(self, value=np.NaN): list_of_ideal_elements_position = self.parent.list_mean_position_of_elements for _index, ideal_position in enumerate(list_of_ideal_elements_position): - if (value >= (ideal_position - tolerance_value)) and \ - (value <= (ideal_position + tolerance_value)): + if (value >= (ideal_position - tolerance_value)) and (value <= (ideal_position + tolerance_value)): return _index return -1 @@ -421,8 +410,7 @@ def get_list_mean_position_of_elements(self): # mean of first element _col_value = table[:, 0] - _col_value_without_outliers = reject_n_outliers(array=_col_value, - n=number_of_outliers_to_reject) + _col_value_without_outliers = reject_n_outliers(array=_col_value, n=number_of_outliers_to_reject) mean_first_element = np.nanmean(_col_value) # trying to calculate manually ideal list mean @@ -445,7 +433,7 @@ def format_table(self, raw_table=None): max_number_of_elements = np.max([len(list_of_elements) for list_of_elements in raw_table]) number_of_rows = len(raw_table) formatted_table = np.empty((number_of_rows, max_number_of_elements)) - formatted_table[:] = np.NaN + formatted_table[:] = np.nan for _row, _list in enumerate(raw_table): for _column, _value in enumerate(_list): diff --git a/notebooks/__code/hfir_reactor_element_analysis/export_data.py b/notebooks/__code/hfir_reactor_element_analysis/export_data.py index e9300d32..389428b7 100755 --- a/notebooks/__code/hfir_reactor_element_analysis/export_data.py +++ b/notebooks/__code/hfir_reactor_element_analysis/export_data.py @@ -1,13 +1,12 @@ -import numpy as np -from qtpy.QtWidgets import QFileDialog, QApplication -from qtpy import QtCore, QtGui import os +from qtpy import QtCore, QtGui +from qtpy.QtWidgets import QApplication, QFileDialog + from __code.file_handler import make_ascii_file class ExportData: - def __init__(self, parent=None): self.parent = parent @@ -15,16 +14,17 @@ def run(self): default_file_name = os.path.abspath(os.path.basename(self.parent.working_dir)) + "_elements_position.csv" working_dir = os.path.dirname(self.parent.working_dir) directory = os.path.join(working_dir, default_file_name) - export_file_name = QFileDialog.getSaveFileName(self.parent, - caption="Select or define filename ...", - directory=directory, - filter="ascii(*.csv)", - initialFilter='ascii') + export_file_name = QFileDialog.getSaveFileName( + self.parent, + caption="Select or define filename ...", + directory=directory, + filter="ascii(*.csv)", + initialFilter="ascii", + ) if export_file_name[0]: - export_file_name = export_file_name[0] - self.parent.ui.statusbar.showMessage("Saving {} ... IN PROGRESS".format(os.path.basename(export_file_name))) + self.parent.ui.statusbar.showMessage(f"Saving {os.path.basename(export_file_name)} ... IN PROGRESS") self.parent.ui.statusbar.setStyleSheet("color: blue") QApplication.setOverrideCursor(QtCore.Qt.WaitCursor) QtGui.QGuiApplication.processEvents() @@ -35,8 +35,8 @@ def run(self): data = [] list_of_images = self.parent.o_selection.column_labels[1:] for _index_file, _file in enumerate(list_of_images): - metadata.append("#{}: {}".format(_index_file, _file)) - _entry = global_list_of_xy_max[_file]['x'] + metadata.append(f"#{_index_file}: {_file}") + _entry = global_list_of_xy_max[_file]["x"] _row_entry = [str(_index_file)] for _value in _entry: _row_entry.append(str(_value)) @@ -44,12 +44,9 @@ def run(self): data.append(_str_entry) metadata.append("#") - make_ascii_file(data=data, - metadata=metadata, - output_file_name=export_file_name, - dim='1d') + make_ascii_file(data=data, metadata=metadata, output_file_name=export_file_name, dim="1d") - self.parent.ui.statusbar.showMessage("{} ... Saved!".format(os.path.basename(export_file_name)), 10000) + self.parent.ui.statusbar.showMessage(f"{os.path.basename(export_file_name)} ... Saved!", 10000) self.parent.ui.statusbar.setStyleSheet("color: green") QApplication.restoreOverrideCursor() QtGui.QGuiApplication.processEvents() diff --git a/notebooks/__code/hfir_reactor_element_analysis/hfir_reactor_element_analysis.py b/notebooks/__code/hfir_reactor_element_analysis/hfir_reactor_element_analysis.py index b48f26c8..a7b5bbcb 100755 --- a/notebooks/__code/hfir_reactor_element_analysis/hfir_reactor_element_analysis.py +++ b/notebooks/__code/hfir_reactor_element_analysis/hfir_reactor_element_analysis.py @@ -1,14 +1,11 @@ import pandas as pd -import numpy as np -from IPython.display import HTML -from IPython.display import display, clear_output +from IPython.display import HTML, clear_output, display -from __code.ipywe import fileselector from __code.file_handler import read_ascii +from __code.ipywe import fileselector class HfirReactorElementAnalysis: - pandas_obj = None metadata = None column_labels = None @@ -17,15 +14,16 @@ def __init__(self, working_dir=""): self.working_dir = working_dir def select_ascii_file(self): - ascii_file_ui = fileselector.FileSelectorPanel(instruction="Select ASCII file ...", - start_dir=self.working_dir, - next=self.load_ascii, - filters={"CSV": "*.csv"}, - default_filter="CSV") + ascii_file_ui = fileselector.FileSelectorPanel( + instruction="Select ASCII file ...", + start_dir=self.working_dir, + next=self.load_ascii, + filters={"CSV": "*.csv"}, + default_filter="CSV", + ) ascii_file_ui.show() def load_ascii(self, ascii_file_name): - display(HTML('Loading data set ... PROCESSING!')) # retrieving metadata and column names @@ -45,12 +43,9 @@ def load_ascii(self, ascii_file_name): self.column_labels = column_labels # retrieving data with pandas - self.pandas_obj = pd.read_csv(ascii_file_name, - skiprows=_line_number + 2, - delimiter=", ", - names=column_labels, - dtype=float, - index_col=0) + self.pandas_obj = pd.read_csv( + ascii_file_name, skiprows=_line_number + 2, delimiter=", ", names=column_labels, dtype=float, index_col=0 + ) clear_output(wait=False) display(HTML('Loading data set ... DONE!')) diff --git a/notebooks/__code/hfir_reactor_element_analysis/initialization.py b/notebooks/__code/hfir_reactor_element_analysis/initialization.py index 1cc47b0c..79f812fa 100755 --- a/notebooks/__code/hfir_reactor_element_analysis/initialization.py +++ b/notebooks/__code/hfir_reactor_element_analysis/initialization.py @@ -1,16 +1,16 @@ -from qtpy.QtWidgets import QVBoxLayout, QProgressBar import matplotlib -matplotlib.use('Qt5Agg') -from matplotlib.backends.backend_qt5agg import NavigationToolbar2QT as NavigationToolbar +from qtpy.QtWidgets import QProgressBar, QVBoxLayout + +matplotlib.use("Qt5Agg") import numpy as np +from matplotlib.backends.backend_qt5agg import NavigationToolbar2QT as NavigationToolbar -from __code.panoramic_stitching.mplcanvas import MplCanvas from __code._utilities.array import get_n_random_int_of_max_value_m from __code._utilities.table_handler import TableHandler +from __code.panoramic_stitching.mplcanvas import MplCanvas class Initialization: - def __init__(self, parent=None): self.parent = parent @@ -25,13 +25,11 @@ def _matplotlib(parent=None, widget=None): widget.setLayout(layout) return sc - self.parent.profiles_plot = _matplotlib(parent=self.parent, - widget=self.parent.ui.profiles_widget) + self.parent.profiles_plot = _matplotlib(parent=self.parent, widget=self.parent.ui.profiles_widget) - self.parent.elements_position = _matplotlib(parent=self.parent, - widget=self.parent.ui.elements_position_widget) + self.parent.elements_position = _matplotlib(parent=self.parent, widget=self.parent.ui.elements_position_widget) - self.parent.elements_position.mpl_connect('button_press_event', self.parent.click_on_elements_position_plot) + self.parent.elements_position.mpl_connect("button_press_event", self.parent.click_on_elements_position_plot) def widgets(self): list_of_images = self.parent.list_of_images @@ -51,13 +49,13 @@ def widgets(self): self.parent.ui.threshold_slider.setMaximum(global_max) self.parent.ui.threshold_slider.setMinimum(global_min) - delta_global = (global_max - global_min)/3 - self.parent.ui.threshold_slider.setValue(int(2*delta_global)) + delta_global = (global_max - global_min) / 3 + self.parent.ui.threshold_slider.setValue(int(2 * delta_global)) self.parent.ui.listWidget.addItems(list_of_images) self.parent.ui.listWidget.setCurrentRow(0) - self.parent.ui.tolerance_units.setText(u"degrees (\u00b0)") + self.parent.ui.tolerance_units.setText("degrees (\u00b0)") self.parent.ui.splitter.setSizes([500, 100]) self.parent.ui.splitter_3.setSizes([200, 500]) @@ -99,7 +97,4 @@ def table_of_metadata(self): for _row_index, _row_value in enumerate(formatted_data): o_table.insert_empty_row(_row_index) for _col_index, _value in enumerate(_row_value): - o_table.insert_item(row=_row_index, - column=_col_index, - value=_value, - editable=False) + o_table.insert_item(row=_row_index, column=_col_index, value=_value, editable=False) diff --git a/notebooks/__code/hfir_reactor_element_analysis/interface_handler.py b/notebooks/__code/hfir_reactor_element_analysis/interface_handler.py index 1f02d97e..0057d417 100755 --- a/notebooks/__code/hfir_reactor_element_analysis/interface_handler.py +++ b/notebooks/__code/hfir_reactor_element_analysis/interface_handler.py @@ -1,26 +1,24 @@ -from qtpy.QtWidgets import QMainWindow import os + import numpy as np +from qtpy.QtWidgets import QMainWindow from __code import load_ui -from __code.hfir_reactor_element_analysis.initialization import Initialization +from __code.hfir_reactor_element_analysis.all_peaks_found_event_handler import AllPeaksFoundEventHandler from __code.hfir_reactor_element_analysis.event_handler import EventHandler from __code.hfir_reactor_element_analysis.export_data import ExportData -from __code.hfir_reactor_element_analysis.all_peaks_found_event_handler import AllPeaksFoundEventHandler +from __code.hfir_reactor_element_analysis.initialization import Initialization from __code.hfir_reactor_element_analysis.missing_peaks_event_handler import MissingPeaksEventHandler class InterfaceHandler: - def __init__(self, working_dir=None, o_selection=None): - o_interface = Interface(o_selection=o_selection, - working_dir=working_dir) + o_interface = Interface(o_selection=o_selection, working_dir=working_dir) o_interface.show() self.o_interface = o_interface class Interface(QMainWindow): - NUMBER_OF_FUEL_ELEMENTS = 369 MINIMUM_NUMBER_OF_ANGLE_DATA_POINTS = 50 ELEMENTS_POSITION_OUTLIERS = 10 # number of data points to remove before calculating mean x position @@ -34,7 +32,7 @@ class Interface(QMainWindow): ideal_table_data_error = None # missing elements list_mean_position_of_elements = None - percent_of_outliers_to_reject = 10 # % + percent_of_outliers_to_reject = 10 # % def __init__(self, parent=None, o_selection=None, working_dir=None): self.o_selection = o_selection @@ -45,9 +43,10 @@ def __init__(self, parent=None, o_selection=None, working_dir=None): super(Interface, self).__init__(parent) - ui_full_path = os.path.join(os.path.dirname(os.path.dirname(os.path.dirname(__file__))), - os.path.join('ui', - 'ui_hfir_reactor_element_local_max.ui')) + ui_full_path = os.path.join( + os.path.dirname(os.path.dirname(os.path.dirname(__file__))), + os.path.join("ui", "ui_hfir_reactor_element_local_max.ui"), + ) self.ui = load_ui(ui_full_path, baseinstance=self) self.setWindowTitle("Elements Position") diff --git a/notebooks/__code/hfir_reactor_element_analysis/missing_peaks_event_handler.py b/notebooks/__code/hfir_reactor_element_analysis/missing_peaks_event_handler.py index e09d2597..19f36ee8 100755 --- a/notebooks/__code/hfir_reactor_element_analysis/missing_peaks_event_handler.py +++ b/notebooks/__code/hfir_reactor_element_analysis/missing_peaks_event_handler.py @@ -1,16 +1,14 @@ -from qtpy.QtWidgets import QMenu from qtpy import QtGui +from qtpy.QtWidgets import QMenu from __code._utilities.table_handler import TableHandler class MissingPeaksEventHandler: - def __init__(self, parent=None): self.parent = parent def right_click(self): - o_table = TableHandler(table_ui=self.parent.ui.missing_peaks_tableWidget) row, col = o_table.get_cell_selected() @@ -21,7 +19,7 @@ def right_click(self): menu = QMenu(self.parent) - file_name = menu.addAction("file name: {}".format(file_name_value)) - angle = menu.addAction("angle: {}".format(angle_value)) + file_name = menu.addAction(f"file name: {file_name_value}") + angle = menu.addAction(f"angle: {angle_value}") action = menu.exec_(QtGui.QCursor.pos()) diff --git a/notebooks/__code/ibeatles_strain_mapping_ascii_loader/main.py b/notebooks/__code/ibeatles_strain_mapping_ascii_loader/main.py index c9f737df..a067d747 100755 --- a/notebooks/__code/ibeatles_strain_mapping_ascii_loader/main.py +++ b/notebooks/__code/ibeatles_strain_mapping_ascii_loader/main.py @@ -1,57 +1,77 @@ import os -from __code.ipywe import fileselector -from ipywidgets import interactive + import ipywidgets as widgets -from IPython.display import display, HTML -import pandas as pd import matplotlib.pyplot as plt import numpy as np +import pandas as pd +from IPython.display import HTML, display +from ipywidgets import interactive from matplotlib.text import Text -INTERPOLATION_METHODS = ['none', 'nearest', 'bilinear', 'bicubic', 'spline16', - 'spline36', 'hanning', 'hamming', 'hermite', 'kaiser', 'quadric', - 'catrom', 'gaussian', 'bessel', 'mitchell', 'sinc', 'lanczos'] -DEFAULT_INTERPOLATION = 'none' - -CMAPS = ['viridis', 'jet'] -DEFAULT_CMAPS = 'viridis' +from __code.ipywe import fileselector -DEFAULT_DATA_TYPE = 'lambda' +INTERPOLATION_METHODS = [ + "none", + "nearest", + "bilinear", + "bicubic", + "spline16", + "spline36", + "hanning", + "hamming", + "hermite", + "kaiser", + "quadric", + "catrom", + "gaussian", + "bessel", + "mitchell", + "sinc", + "lanczos", +] +DEFAULT_INTERPOLATION = "none" + +CMAPS = ["viridis", "jet"] +DEFAULT_CMAPS = "viridis" + +DEFAULT_DATA_TYPE = "lambda" NBR_POINTS_IN_SCALE = 100 class Main: - ascii_filename = None cb0 = None cb1 = None cb2 = None - def __init__(self, working_dir=''): + def __init__(self, working_dir=""): self.working_dir = working_dir def select_ascii_file(self): - self.file_ui = fileselector.FileSelectorPanel(instruction="Select Ascii file", - start_dir=self.working_dir, - multiple=False, - next=self.load) + self.file_ui = fileselector.FileSelectorPanel( + instruction="Select Ascii file", start_dir=self.working_dir, multiple=False, next=self.load + ) self.file_ui.show() def load(self, filename): self.ascii_filename = filename self.import_ascii() - display(HTML('' + str(os.path.basename(filename)) + ' ' - 'has been loaded !')) + display( + HTML( + '' + str(os.path.basename(filename)) + " " + "has been loaded !" + ) + ) def import_ascii(self): - self.file_object = pd.read_csv(self.ascii_filename, sep=', ') + self.file_object = pd.read_csv(self.ascii_filename, sep=", ") def preview_ascii(self): print(self.file_object) def process_data(self): - original_x0 = list(self.file_object['bin x0']) - original_y0 = list(self.file_object['bin y0']) + original_x0 = list(self.file_object["bin x0"]) + original_y0 = list(self.file_object["bin y0"]) list_set_x0 = list(set(original_x0)) list_set_x0.sort() @@ -63,23 +83,25 @@ def process_data(self): d_2d = np.zeros((len(list_set_y0), len(list_set_x0))) for _location in np.arange(len(self.file_object)): - _x0 = self.file_object.iloc[_location]['bin x0'] - _y0 = self.file_object.iloc[_location]['bin y0'] + _x0 = self.file_object.iloc[_location]["bin x0"] + _y0 = self.file_object.iloc[_location]["bin y0"] _x = list_set_x0.index(_x0) _y = list_set_y0.index(_y0) - _lambda = self.file_object.iloc[_location]['lambda hkl val'] + _lambda = self.file_object.iloc[_location]["lambda hkl val"] lambda_2d[_y, _x] = _lambda - _strain = self.file_object.iloc[_location]['strain'] + _strain = self.file_object.iloc[_location]["strain"] strain_2d[_y, _x] = _strain - _d = self.file_object.iloc[_location]['d value'] + _d = self.file_object.iloc[_location]["d value"] d_2d[_y, _x] = _d - self.data_dict = {'lambda': lambda_2d, - 'microstrain': strain_2d * 1e6, # to switch to microstrain - 'd': d_2d} + self.data_dict = { + "lambda": lambda_2d, + "microstrain": strain_2d * 1e6, # to switch to microstrain + "d": d_2d, + } def display(self): self.display_lambda() @@ -87,96 +109,83 @@ def display(self): self.display_microstrain() def display_lambda(self): - - fig = plt.figure(figsize=(4, 4), num=u"\u03BB (\u212B)") + fig = plt.figure(figsize=(4, 4), num="\u03bb (\u212b)") self.ax0 = fig.add_subplot(111) - self.im0 = self.ax0.imshow(self.data_dict['lambda']) + self.im0 = self.ax0.imshow(self.data_dict["lambda"]) self.cb0 = plt.colorbar(self.im0, ax=self.ax0) - self.ax0.set_title(u"\u03BB (\u212B)") + self.ax0.set_title("\u03bb (\u212b)") - minimum = np.nanmin(self.data_dict['lambda']) - maximum = np.nanmax(self.data_dict['lambda']) - step = float((maximum - minimum)/NBR_POINTS_IN_SCALE) + minimum = np.nanmin(self.data_dict["lambda"]) + maximum = np.nanmax(self.data_dict["lambda"]) + step = float((maximum - minimum) / NBR_POINTS_IN_SCALE) plt.tight_layout() plt.show() def plot_lambda(min_value, max_value, colormap, interpolation_method): - if self.cb0: self.cb0.remove() - data = self.data_dict['lambda'] + data = self.data_dict["lambda"] self.ax0.cla() - self.im0 = self.ax0.imshow(data, - interpolation=interpolation_method, - cmap=colormap, - vmin=min_value, - vmax=max_value) + self.im0 = self.ax0.imshow( + data, interpolation=interpolation_method, cmap=colormap, vmin=min_value, vmax=max_value + ) self.cb0 = plt.colorbar(self.im0, ax=self.ax0) - v = interactive(plot_lambda, - min_value=widgets.FloatSlider(min=minimum, - max=maximum, - value=minimum, - step=step), - max_value=widgets.FloatSlider(min=minimum, - max=maximum, - value=maximum, - step=step), - colormap=widgets.Dropdown(options=CMAPS, - value=DEFAULT_CMAPS, - layout=widgets.Layout(width="300px")), - interpolation_method=widgets.Dropdown(options=INTERPOLATION_METHODS, - value=DEFAULT_INTERPOLATION, - description="Interpolation", - layout=widgets.Layout(width="300px"))) + v = interactive( + plot_lambda, + min_value=widgets.FloatSlider(min=minimum, max=maximum, value=minimum, step=step), + max_value=widgets.FloatSlider(min=minimum, max=maximum, value=maximum, step=step), + colormap=widgets.Dropdown(options=CMAPS, value=DEFAULT_CMAPS, layout=widgets.Layout(width="300px")), + interpolation_method=widgets.Dropdown( + options=INTERPOLATION_METHODS, + value=DEFAULT_INTERPOLATION, + description="Interpolation", + layout=widgets.Layout(width="300px"), + ), + ) display(v) def display_d(self): - - fig = plt.figure(figsize=(4, 4), num='d') + fig = plt.figure(figsize=(4, 4), num="d") self.ax1 = fig.add_subplot(111) - self.im1 = self.ax1.imshow(self.data_dict['d']) + self.im1 = self.ax1.imshow(self.data_dict["d"]) self.cb1 = plt.colorbar(self.im1, ax=self.ax1) self.ax1.set_title("d") - minimum = np.nanmin(self.data_dict['d']) - maximum = np.nanmax(self.data_dict['d']) + minimum = np.nanmin(self.data_dict["d"]) + maximum = np.nanmax(self.data_dict["d"]) step = float((maximum - minimum) / NBR_POINTS_IN_SCALE) plt.tight_layout() plt.show() def plot_d(min_value, max_value, colormap, interpolation_method): - if self.cb1: self.cb1.remove() - data = self.data_dict['d'] + data = self.data_dict["d"] self.ax1.cla() - self.im1 = self.ax1.imshow(data, - interpolation=interpolation_method, - cmap=colormap, - vmin=min_value, - vmax=max_value) + self.im1 = self.ax1.imshow( + data, interpolation=interpolation_method, cmap=colormap, vmin=min_value, vmax=max_value + ) self.cb1 = plt.colorbar(self.im1, ax=self.ax1) - #adding digit in colorbar scale + # adding digit in colorbar scale ticks = self.cb1.ax.get_yticklabels() for _index, _tick in enumerate(ticks): - (_x, _y) = _tick.get_position() _text = _tick.get_text() # trick to fix error with matplotlib '-' that is not the normal negative character if _text: - if _text[0].encode() == b'\xe2\x88\x92': + if _text[0].encode() == b"\xe2\x88\x92": _text_fixed = "-" + _text[1:] _text = _text_fixed @@ -189,65 +198,57 @@ def plot_d(min_value, max_value, colormap, interpolation_method): self.cb1.ax.set_yticklabels(ticks) - v = interactive(plot_d, - min_value=widgets.FloatSlider(min=minimum, - max=maximum, - value=minimum, - step=step), - max_value=widgets.FloatSlider(min=minimum, - max=maximum, - value=maximum, - step=step), - colormap=widgets.Dropdown(options=CMAPS, - value=DEFAULT_CMAPS, - layout=widgets.Layout(width="300px")), - interpolation_method=widgets.Dropdown(options=INTERPOLATION_METHODS, - value=DEFAULT_INTERPOLATION, - description="Interpolation", - layout=widgets.Layout(width="300px"))) + v = interactive( + plot_d, + min_value=widgets.FloatSlider(min=minimum, max=maximum, value=minimum, step=step), + max_value=widgets.FloatSlider(min=minimum, max=maximum, value=maximum, step=step), + colormap=widgets.Dropdown(options=CMAPS, value=DEFAULT_CMAPS, layout=widgets.Layout(width="300px")), + interpolation_method=widgets.Dropdown( + options=INTERPOLATION_METHODS, + value=DEFAULT_INTERPOLATION, + description="Interpolation", + layout=widgets.Layout(width="300px"), + ), + ) display(v) def display_microstrain(self): - fig = plt.figure(figsize=(5, 5), num='microstrain') + fig = plt.figure(figsize=(5, 5), num="microstrain") self.ax2 = fig.add_subplot(111) - self.im2 = self.ax2.imshow(self.data_dict['microstrain']) + self.im2 = self.ax2.imshow(self.data_dict["microstrain"]) self.cb2 = plt.colorbar(self.im2, ax=self.ax2) self.ax2.set_title("microstrain") - minimum = np.nanmin(self.data_dict['microstrain']) - maximum = np.nanmax(self.data_dict['microstrain']) + minimum = np.nanmin(self.data_dict["microstrain"]) + maximum = np.nanmax(self.data_dict["microstrain"]) step = float((maximum - minimum) / NBR_POINTS_IN_SCALE) plt.tight_layout() plt.show() def plot_microstrain(min_value, max_value, colormap, interpolation_method): - if self.cb2: self.cb2.remove() - data = self.data_dict['microstrain'] + data = self.data_dict["microstrain"] self.ax2.cla() - self.im2 = self.ax2.imshow(data, - interpolation=interpolation_method, - cmap=colormap, - vmin=min_value, - vmax=max_value) + self.im2 = self.ax2.imshow( + data, interpolation=interpolation_method, cmap=colormap, vmin=min_value, vmax=max_value + ) self.cb2 = plt.colorbar(self.im2, ax=self.ax2) # adding digit in colorbar scale ticks = self.cb2.ax.get_yticklabels() for _index, _tick in enumerate(ticks): - (_x, _y) = _tick.get_position() _text = _tick.get_text() # trick to fix error with matplotlib '-' that is not the normal negative character if _text: - if _text[0].encode() == b'\xe2\x88\x92': + if _text[0].encode() == b"\xe2\x88\x92": _text_fixed = "-" + _text[1:] _text = _text_fixed @@ -262,31 +263,28 @@ def plot_microstrain(min_value, max_value, colormap, interpolation_method): # adding digits in cursor z value numrows, numcols = data.shape + def format_coord(x, y): col = int(x + 0.5) row = int(y + 0.5) if col >= 0 and col < numcols and row >= 0 and row < numrows: z = data[row, col] - return 'x=%d, y=%d, z=%1.4f microstrain' % (x, y, z) + return "x=%d, y=%d, z=%1.4f microstrain" % (x, y, z) else: - return 'x=%d, y=%d' % (x, y) + return "x=%d, y=%d" % (x, y) self.ax2.format_coord = format_coord - v = interactive(plot_microstrain, - min_value=widgets.FloatSlider(min=minimum, - max=maximum, - value=minimum, - step=step), - max_value=widgets.FloatSlider(min=minimum, - max=maximum, - value=maximum, - step=step), - colormap=widgets.Dropdown(options=CMAPS, - value=DEFAULT_CMAPS, - layout=widgets.Layout(width="300px")), - interpolation_method=widgets.Dropdown(options=INTERPOLATION_METHODS, - value=DEFAULT_INTERPOLATION, - description="Interpolation", - layout=widgets.Layout(width="300px"))) + v = interactive( + plot_microstrain, + min_value=widgets.FloatSlider(min=minimum, max=maximum, value=minimum, step=step), + max_value=widgets.FloatSlider(min=minimum, max=maximum, value=maximum, step=step), + colormap=widgets.Dropdown(options=CMAPS, value=DEFAULT_CMAPS, layout=widgets.Layout(width="300px")), + interpolation_method=widgets.Dropdown( + options=INTERPOLATION_METHODS, + value=DEFAULT_INTERPOLATION, + description="Interpolation", + layout=widgets.Layout(width="300px"), + ), + ) display(v) diff --git a/notebooks/__code/ibeatles_strain_mapping_hdf5_loader/hdf5_handler.py b/notebooks/__code/ibeatles_strain_mapping_hdf5_loader/hdf5_handler.py index ecad0aba..b4e47525 100755 --- a/notebooks/__code/ibeatles_strain_mapping_hdf5_loader/hdf5_handler.py +++ b/notebooks/__code/ibeatles_strain_mapping_hdf5_loader/hdf5_handler.py @@ -1,9 +1,9 @@ import os + import h5py class Hdf5Handler: - def __init__(self, parent=None): self.parent = parent @@ -15,45 +15,47 @@ def load(self, filename=None): self.import_hdf5() def import_hdf5(self): - f = h5py.File(self.filename, 'r') - entry = f['entry'] + f = h5py.File(self.filename, "r") + entry = f["entry"] # integrated image - self.parent.integrated_normalized_radiographs = entry['integrated normalized radiographs']['2D array'][:] + self.parent.integrated_normalized_radiographs = entry["integrated normalized radiographs"]["2D array"][:] # metadata self.parent.metadata = {} - list_key = ['detector_offset', 'distance_source_detector', 'hkl_value', 'material_name'] + list_key = ["detector_offset", "distance_source_detector", "hkl_value", "material_name"] for _key in list_key: - self.parent.metadata[_key] = entry['metadata'][_key][()].decode('utf-8') - self.parent.metadata['d0'] = entry['metadata']['d0'][()] + self.parent.metadata[_key] = entry["metadata"][_key][()].decode("utf-8") + self.parent.metadata["d0"] = entry["metadata"]["d0"][()] # strain mapping self.parent.strain_mapping = {} - for _key in entry['strain mapping'].keys(): - self.parent.strain_mapping[_key] = {'val': entry['strain mapping'][_key]['val'][()], - 'err': entry['strain mapping'][_key]['err'][()], - } + for _key in entry["strain mapping"].keys(): + self.parent.strain_mapping[_key] = { + "val": entry["strain mapping"][_key]["val"][()], + "err": entry["strain mapping"][_key]["err"][()], + } # bin self.parent.bin = {} list_row = [] list_column = [] - for _key in entry['strain mapping'].keys(): - key_entry = entry['strain mapping'][_key] - _key_dict = {'x0': key_entry['bin coordinates']['x0'][()], - 'x1': key_entry['bin coordinates']['x1'][()], - 'y0': key_entry['bin coordinates']['y0'][()], - 'y1': key_entry['bin coordinates']['y1'][()], - 'row_index': entry['fitting']['kropff'][_key]['fitted']['row_index'][()], - 'column_index': entry['fitting']['kropff'][_key]['fitted']['column_index'][()], - } + for _key in entry["strain mapping"].keys(): + key_entry = entry["strain mapping"][_key] + _key_dict = { + "x0": key_entry["bin coordinates"]["x0"][()], + "x1": key_entry["bin coordinates"]["x1"][()], + "y0": key_entry["bin coordinates"]["y0"][()], + "y1": key_entry["bin coordinates"]["y1"][()], + "row_index": entry["fitting"]["kropff"][_key]["fitted"]["row_index"][()], + "column_index": entry["fitting"]["kropff"][_key]["fitted"]["column_index"][()], + } - list_row.append(entry['fitting']['kropff'][_key]['fitted']['row_index'][()]) - list_column.append(entry['fitting']['kropff'][_key]['fitted']['column_index'][()]) + list_row.append(entry["fitting"]["kropff"][_key]["fitted"]["row_index"][()]) + list_column.append(entry["fitting"]["kropff"][_key]["fitted"]["column_index"][()]) self.parent.bin[_key] = _key_dict - self.parent.bin_size = entry['metadata']['bin_size'][()] + self.parent.bin_size = entry["metadata"]["bin_size"][()] set_list_row = set(list(list_row)) set_list_column = set(list(list_column)) @@ -61,10 +63,10 @@ def import_hdf5(self): self.parent.nbr_column = len(set_list_column) self.parent.d = {} - kropff_entry = entry['fitting']['kropff'] + kropff_entry = entry["fitting"]["kropff"] for _key in kropff_entry.keys(): - self.parent.d[_key] = kropff_entry[_key]['fitted']['d']['val'][()] + self.parent.d[_key] = kropff_entry[_key]["fitted"]["d"]["val"][()] self.parent.lambda_hkl = {} for _key in kropff_entry.keys(): - self.parent.lambda_hkl[_key] = kropff_entry[_key]['fitted']['lambda_hkl']['val'][()] + self.parent.lambda_hkl[_key] = kropff_entry[_key]["fitted"]["lambda_hkl"]["val"][()] diff --git a/notebooks/__code/ibeatles_strain_mapping_hdf5_loader/main.py b/notebooks/__code/ibeatles_strain_mapping_hdf5_loader/main.py index 942cf528..0be5e4c4 100755 --- a/notebooks/__code/ibeatles_strain_mapping_hdf5_loader/main.py +++ b/notebooks/__code/ibeatles_strain_mapping_hdf5_loader/main.py @@ -1,29 +1,45 @@ import os -from __code.ipywe import fileselector -from ipywidgets import interactive + import ipywidgets as widgets -from IPython.display import display, HTML import matplotlib.pyplot as plt import numpy as np +from IPython.display import HTML, display +from ipywidgets import interactive from matplotlib.image import _resample from matplotlib.transforms import Affine2D from __code.ibeatles_strain_mapping_hdf5_loader.hdf5_handler import Hdf5Handler +from __code.ipywe import fileselector -INTERPOLATION_METHODS = ['none', 'nearest', 'bilinear', 'bicubic', 'spline16', - 'spline36', 'hanning', 'hamming', 'hermite', 'kaiser', 'quadric', - 'catrom', 'gaussian', 'bessel', 'mitchell', 'sinc', 'lanczos'] -DEFAULT_INTERPOLATION = 'none' - -CMAPS = ['viridis', 'jet'] -DEFAULT_CMAPS = 'viridis' - -DEFAULT_DATA_TYPE = 'lambda' +INTERPOLATION_METHODS = [ + "none", + "nearest", + "bilinear", + "bicubic", + "spline16", + "spline36", + "hanning", + "hamming", + "hermite", + "kaiser", + "quadric", + "catrom", + "gaussian", + "bessel", + "mitchell", + "sinc", + "lanczos", +] +DEFAULT_INTERPOLATION = "none" + +CMAPS = ["viridis", "jet"] +DEFAULT_CMAPS = "viridis" + +DEFAULT_DATA_TYPE = "lambda" NBR_POINTS_IN_SCALE = 100 class Main: - hdf5_filename = None integrated_normalized_radiographs = None @@ -44,23 +60,29 @@ class Main: cb1 = None cb2 = None - def __init__(self, working_dir=''): + def __init__(self, working_dir=""): self.working_dir = working_dir def select_hdf5_file(self): - self.file_ui = fileselector.FileSelectorPanel(instruction="Select HDF5 file", - start_dir=self.working_dir, - multiple=False, - filters={'ibeatles hdf5': 'fitting_*.h5'}, - default_filter='ibeatles hdf5', - next=self.load) + self.file_ui = fileselector.FileSelectorPanel( + instruction="Select HDF5 file", + start_dir=self.working_dir, + multiple=False, + filters={"ibeatles hdf5": "fitting_*.h5"}, + default_filter="ibeatles hdf5", + next=self.load, + ) self.file_ui.show() def load(self, filename): self.hdf5_filename = filename self.import_hdf5() - display(HTML('' + str(os.path.basename(filename)) + ' ' - 'has been loaded !')) + display( + HTML( + '' + str(os.path.basename(filename)) + " " + "has been loaded !" + ) + ) def import_hdf5(self): o_import = Hdf5Handler(parent=self) @@ -87,12 +109,12 @@ def process_data(self): top_left_corner_of_roi = [self.image_height, self.image_width] for _key in self.bin.keys(): - x0 = self.bin[_key]['x0'] - y0 = self.bin[_key]['y0'] - x1 = self.bin[_key]['x1'] - y1 = self.bin[_key]['y1'] - row_index = self.bin[_key]['row_index'] - column_index = self.bin[_key]['column_index'] + x0 = self.bin[_key]["x0"] + y0 = self.bin[_key]["y0"] + x1 = self.bin[_key]["x1"] + y1 = self.bin[_key]["y1"] + row_index = self.bin[_key]["row_index"] + column_index = self.bin[_key]["column_index"] if x0 < top_left_corner_of_roi[1]: top_left_corner_of_roi[1] = x0 @@ -102,11 +124,11 @@ def process_data(self): compact_lambda_2d[row_index, column_index] = self.lambda_hkl[_key] - lambda_2d[y0: y1, x0: x1] = self.lambda_hkl[_key] - strain_mapping_2d[y0: y1, x0: x1] = self.strain_mapping[_key]['val'] # to go to microstrain - compact_strain_mapping[row_index, column_index] = self.strain_mapping[_key]['val'] + lambda_2d[y0:y1, x0:x1] = self.lambda_hkl[_key] + strain_mapping_2d[y0:y1, x0:x1] = self.strain_mapping[_key]["val"] # to go to microstrain + compact_strain_mapping[row_index, column_index] = self.strain_mapping[_key]["val"] - d_2d[y0: y1, x0: x1] = self.d[_key] + d_2d[y0:y1, x0:x1] = self.d[_key] self.compact_lambda_2d = compact_lambda_2d self.compact_strain_mapping = compact_strain_mapping @@ -183,31 +205,26 @@ def display(self): self.display_microstrain() def display_lambda(self): - - fig = plt.figure(figsize=(4, 4), num=u"\u03BB (\u212B)") + fig = plt.figure(figsize=(4, 4), num="\u03bb (\u212b)") self.ax0 = fig.add_subplot(111) - self.ax0.imshow(self.integrated_normalized_radiographs, - vmin=0, - vmax=1, - cmap='gray') + self.ax0.imshow(self.integrated_normalized_radiographs, vmin=0, vmax=1, cmap="gray") # self.im0 = self.ax0.imshow(self.compact_lambda_2d, cmap='jet', alpha=0.5) - self.im0 = self.ax0.imshow(self.lambda_hkl_2d, cmap='jet', alpha=0.5) + self.im0 = self.ax0.imshow(self.lambda_hkl_2d, cmap="jet", alpha=0.5) self.cb0 = plt.colorbar(self.im0, ax=self.ax0) - self.ax0.set_title(u"\u03BB (\u212B)") + self.ax0.set_title("\u03bb (\u212b)") minimum = np.nanmin(self.lambda_hkl_2d) maximum = np.nanmax(self.lambda_hkl_2d) # minimum = np.nanmin(self.compact_lambda_2d) # maximum = np.nanmax(self.compact_lambda_2d) - step = float((maximum - minimum)/NBR_POINTS_IN_SCALE) + step = float((maximum - minimum) / NBR_POINTS_IN_SCALE) plt.tight_layout() # plt.show() def plot_lambda(min_value, max_value, colormap, interpolation_method): - if self.cb0: self.cb0.remove() @@ -215,49 +232,36 @@ def plot_lambda(min_value, max_value, colormap, interpolation_method): # data = self.compact_lambda_2d self.ax0.cla() - self.ax0.imshow(self.integrated_normalized_radiographs, - vmin=0, - vmax=1, - cmap='gray') - self.im0 = self.ax0.imshow(data, - interpolation=interpolation_method, - cmap=colormap, - vmin=min_value, - vmax=max_value) + self.ax0.imshow(self.integrated_normalized_radiographs, vmin=0, vmax=1, cmap="gray") + self.im0 = self.ax0.imshow( + data, interpolation=interpolation_method, cmap=colormap, vmin=min_value, vmax=max_value + ) self.cb0 = plt.colorbar(self.im0, ax=self.ax0) - v = interactive(plot_lambda, - min_value=widgets.FloatSlider(min=minimum, - max=maximum, - value=minimum, - step=step), - max_value=widgets.FloatSlider(min=minimum, - max=maximum, - value=maximum, - step=step), - colormap=widgets.Dropdown(options=CMAPS, - value=DEFAULT_CMAPS, - layout=widgets.Layout(width="300px")), - interpolation_method=widgets.Dropdown(options=INTERPOLATION_METHODS, - value=DEFAULT_INTERPOLATION, - description="Interpolation", - layout=widgets.Layout(width="300px"))) + v = interactive( + plot_lambda, + min_value=widgets.FloatSlider(min=minimum, max=maximum, value=minimum, step=step), + max_value=widgets.FloatSlider(min=minimum, max=maximum, value=maximum, step=step), + colormap=widgets.Dropdown(options=CMAPS, value=DEFAULT_CMAPS, layout=widgets.Layout(width="300px")), + interpolation_method=widgets.Dropdown( + options=INTERPOLATION_METHODS, + value=DEFAULT_INTERPOLATION, + description="Interpolation", + layout=widgets.Layout(width="300px"), + ), + ) display(v) def display_d(self): - - fig = plt.figure(figsize=(4, 4), num=u"d") + fig = plt.figure(figsize=(4, 4), num="d") self.ax1 = fig.add_subplot(111) - self.ax1.imshow(self.integrated_normalized_radiographs, - vmin=0, - vmax=1, - cmap='gray') + self.ax1.imshow(self.integrated_normalized_radiographs, vmin=0, vmax=1, cmap="gray") # self.im0 = self.ax0.imshow(self.compact_lambda_2d, cmap='jet', alpha=0.5) - self.im1 = self.ax1.imshow(self.d_2d, cmap='jet', alpha=0.5) + self.im1 = self.ax1.imshow(self.d_2d, cmap="jet", alpha=0.5) self.cb1 = plt.colorbar(self.im1, ax=self.ax1) - self.ax1.set_title(u"d") + self.ax1.set_title("d") minimum = np.nanmin(self.d_2d) maximum = np.nanmax(self.d_2d) @@ -274,47 +278,35 @@ def plot_d(min_value, max_value, colormap, interpolation_method): data = self.d_2d self.ax1.cla() - self.ax1.imshow(self.integrated_normalized_radiographs, - vmin=0, - vmax=1, - cmap='gray') - self.im1 = self.ax1.imshow(data, - interpolation=interpolation_method, - cmap=colormap, - vmin=min_value, - vmax=max_value) + self.ax1.imshow(self.integrated_normalized_radiographs, vmin=0, vmax=1, cmap="gray") + self.im1 = self.ax1.imshow( + data, interpolation=interpolation_method, cmap=colormap, vmin=min_value, vmax=max_value + ) self.cb1 = plt.colorbar(self.im1, ax=self.ax1) - v = interactive(plot_d, - min_value=widgets.FloatSlider(min=minimum, - max=maximum, - value=minimum, - step=step), - max_value=widgets.FloatSlider(min=minimum, - max=maximum, - value=maximum, - step=step), - colormap=widgets.Dropdown(options=CMAPS, - value=DEFAULT_CMAPS, - layout=widgets.Layout(width="300px")), - interpolation_method=widgets.Dropdown(options=INTERPOLATION_METHODS, - value=DEFAULT_INTERPOLATION, - description="Interpolation", - layout=widgets.Layout(width="300px"))) + v = interactive( + plot_d, + min_value=widgets.FloatSlider(min=minimum, max=maximum, value=minimum, step=step), + max_value=widgets.FloatSlider(min=minimum, max=maximum, value=maximum, step=step), + colormap=widgets.Dropdown(options=CMAPS, value=DEFAULT_CMAPS, layout=widgets.Layout(width="300px")), + interpolation_method=widgets.Dropdown( + options=INTERPOLATION_METHODS, + value=DEFAULT_INTERPOLATION, + description="Interpolation", + layout=widgets.Layout(width="300px"), + ), + ) display(v) def display_microstrain(self): - fig = plt.figure(figsize=(4, 4), num=u"microstrain") + fig = plt.figure(figsize=(4, 4), num="microstrain") self.ax2 = fig.add_subplot(111) - self.ax2.imshow(self.integrated_normalized_radiographs, - vmin=0, - vmax=1, - cmap='gray') + self.ax2.imshow(self.integrated_normalized_radiographs, vmin=0, vmax=1, cmap="gray") - self.im2 = self.ax2.imshow(self.strain_2d, cmap='jet', alpha=0.5) + self.im2 = self.ax2.imshow(self.strain_2d, cmap="jet", alpha=0.5) self.cb2 = plt.colorbar(self.im2, ax=self.ax2) - self.ax2.set_title(u"microstrain") + self.ax2.set_title("microstrain") minimum = np.nanmin(self.strain_2d) maximum = np.nanmax(self.strain_2d) @@ -329,40 +321,30 @@ def plot_strain(min_value, max_value, colormap, interpolation_method): data = self.strain_2d self.ax2.cla() - self.ax2.imshow(self.integrated_normalized_radiographs, - vmin=0, - vmax=1, - cmap='gray') - self.im2 = self.ax2.imshow(data, - interpolation=interpolation_method, - cmap=colormap, - vmin=min_value, - vmax=max_value) + self.ax2.imshow(self.integrated_normalized_radiographs, vmin=0, vmax=1, cmap="gray") + self.im2 = self.ax2.imshow( + data, interpolation=interpolation_method, cmap=colormap, vmin=min_value, vmax=max_value + ) self.cb2 = plt.colorbar(self.im2, ax=self.ax2) - v = interactive(plot_strain, - min_value=widgets.FloatSlider(min=minimum, - max=maximum, - value=minimum, - step=step), - max_value=widgets.FloatSlider(min=minimum, - max=maximum, - value=maximum, - step=step), - colormap=widgets.Dropdown(options=CMAPS, - value=DEFAULT_CMAPS, - layout=widgets.Layout(width="300px")), - interpolation_method=widgets.Dropdown(options=INTERPOLATION_METHODS, - value=DEFAULT_INTERPOLATION, - description="Interpolation", - layout=widgets.Layout(width="300px"))) + v = interactive( + plot_strain, + min_value=widgets.FloatSlider(min=minimum, max=maximum, value=minimum, step=step), + max_value=widgets.FloatSlider(min=minimum, max=maximum, value=maximum, step=step), + colormap=widgets.Dropdown(options=CMAPS, value=DEFAULT_CMAPS, layout=widgets.Layout(width="300px")), + interpolation_method=widgets.Dropdown( + options=INTERPOLATION_METHODS, + value=DEFAULT_INTERPOLATION, + description="Interpolation", + layout=widgets.Layout(width="300px"), + ), + ) display(v) def display_with_interpolation(self): self.display_microstrain_with_interpolation() # self.display_lambda_with_interpolation() - def display_lambda_with_interpolation(self): data = self.compact_lambda_2d grid = np.array(data) @@ -372,20 +354,20 @@ def display_lambda_with_interpolation(self): scale_factor = self.bin_size out_dimensions = (grid.shape[0] * scale_factor, grid.shape[1] * scale_factor) - fig, axs = plt.subplots(nrows=3, num='lambda interpolated', figsize=[5,15]) + fig, axs = plt.subplots(nrows=3, num="lambda interpolated", figsize=[5, 15]) transform = Affine2D().scale(scale_factor, scale_factor) # Have to get an image to be able to resample # Resample takes an _ImageBase or subclass, which require an Axes # img = axs[0].imshow(grid, interpolation='spline36', cmap='viridis') - img = axs[0].imshow(grid, cmap='viridis') - axs[0].imshow(grid, cmap='viridis') + img = axs[0].imshow(grid, cmap="viridis") + axs[0].imshow(grid, cmap="viridis") - img1 = axs[1].imshow(grid, interpolation='gaussian', cmap='viridis') + img1 = axs[1].imshow(grid, interpolation="gaussian", cmap="viridis") interpolated = _resample(img1, grid, out_dimensions, transform=transform) # axs[2].imshow(integrated_image, vmin=0, vmax=1, cmap='gray') - axs[2].imshow(interpolated, cmap='viridis') + axs[2].imshow(interpolated, cmap="viridis") def display_microstrain_with_interpolation(self): data = self.compact_strain_mapping @@ -396,20 +378,20 @@ def display_microstrain_with_interpolation(self): scale_factor = self.bin_size out_dimensions = (grid.shape[0] * scale_factor, grid.shape[1] * scale_factor) - fig1, axs = plt.subplots(nrows=4, num='microstrain interpolated', figsize=[5, 20]) + fig1, axs = plt.subplots(nrows=4, num="microstrain interpolated", figsize=[5, 20]) transform = Affine2D().scale(scale_factor, scale_factor) # Have to get an image to be able to resample # Resample takes an _ImageBase or subclass, which require an Axes # img = axs[0].imshow(grid, interpolation='spline36', cmap='viridis') - img = axs[0].imshow(grid, cmap='viridis') - axs[0].imshow(grid, cmap='viridis') + img = axs[0].imshow(grid, cmap="viridis") + axs[0].imshow(grid, cmap="viridis") - img1 = axs[1].imshow(grid, interpolation='gaussian', cmap='viridis') + img1 = axs[1].imshow(grid, interpolation="gaussian", cmap="viridis") interpolated = _resample(img1, grid, out_dimensions, transform=transform) # axs[2].imshow(integrated_image, vmin=0, vmax=1, cmap='gray') - axs[2].imshow(interpolated, cmap='viridis') + axs[2].imshow(interpolated, cmap="viridis") # with overlap interpolated_strain_mapping_2d = np.empty((self.image_height, self.image_width)) @@ -418,13 +400,10 @@ def display_microstrain_with_interpolation(self): [y0, x0] = self.top_left_corner_of_roi inter_height, inter_width = np.shape(interpolated) - interpolated_strain_mapping_2d[y0: y0+inter_height, x0: x0+inter_width] = interpolated + interpolated_strain_mapping_2d[y0 : y0 + inter_height, x0 : x0 + inter_width] = interpolated - axs[3].imshow(self.integrated_normalized_radiographs, - vmin=0, - vmax=1, - cmap='gray') - im = axs[3].imshow(interpolated_strain_mapping_2d, interpolation='gaussian') + axs[3].imshow(self.integrated_normalized_radiographs, vmin=0, vmax=1, cmap="gray") + im = axs[3].imshow(interpolated_strain_mapping_2d, interpolation="gaussian") self.cb = plt.colorbar(im, ax=axs[3]) minimum = np.nanmin(interpolated_strain_mapping_2d) @@ -434,7 +413,6 @@ def display_microstrain_with_interpolation(self): # plt.tight_layout() def plot_interpolated(min_value, max_value, colormap, interpolation_method): - img = axs[0].imshow(grid, cmap=colormap) axs[0].imshow(grid, cmap=colormap) @@ -452,40 +430,33 @@ def plot_interpolated(min_value, max_value, colormap, interpolation_method): [y0, x0] = self.top_left_corner_of_roi inter_height, inter_width = np.shape(interpolated) - interpolated_strain_mapping_2d[y0: y0 + inter_height, x0: x0 + inter_width] = interpolated + interpolated_strain_mapping_2d[y0 : y0 + inter_height, x0 : x0 + inter_width] = interpolated if self.cb: self.cb.remove() axs[3].cla() - axs[3].imshow(self.integrated_normalized_radiographs, - vmin=0, - vmax=1, - cmap='gray') - im = axs[3].imshow(interpolated_strain_mapping_2d*1e6, - interpolation=interpolation_method, - cmap=colormap, - vmin=min_value*1e6, - vmax=max_value*1e6) + axs[3].imshow(self.integrated_normalized_radiographs, vmin=0, vmax=1, cmap="gray") + im = axs[3].imshow( + interpolated_strain_mapping_2d * 1e6, + interpolation=interpolation_method, + cmap=colormap, + vmin=min_value * 1e6, + vmax=max_value * 1e6, + ) self.cb = plt.colorbar(im, ax=axs[3]) - v = interactive(plot_interpolated, - min_value=widgets.FloatSlider(min=minimum, - max=maximum, - value=minimum, - step=step, - description='min (x1e6)'), - max_value=widgets.FloatSlider(min=minimum, - max=maximum, - value=maximum, - step=step, - description='min (x1e6)'), - colormap=widgets.Dropdown(options=CMAPS, - value=DEFAULT_CMAPS, - layout=widgets.Layout(width="300px")), - interpolation_method=widgets.Dropdown(options=INTERPOLATION_METHODS, - value=DEFAULT_INTERPOLATION, - description="Interpolation", - layout=widgets.Layout(width="300px"))) + v = interactive( + plot_interpolated, + min_value=widgets.FloatSlider(min=minimum, max=maximum, value=minimum, step=step, description="min (x1e6)"), + max_value=widgets.FloatSlider(min=minimum, max=maximum, value=maximum, step=step, description="min (x1e6)"), + colormap=widgets.Dropdown(options=CMAPS, value=DEFAULT_CMAPS, layout=widgets.Layout(width="300px")), + interpolation_method=widgets.Dropdown( + options=INTERPOLATION_METHODS, + value=DEFAULT_INTERPOLATION, + description="Interpolation", + layout=widgets.Layout(width="300px"), + ), + ) display(v) diff --git a/notebooks/__code/icons/icons_rc.py b/notebooks/__code/icons/icons_rc.py index 5fc35807..5283caac 100755 --- a/notebooks/__code/icons/icons_rc.py +++ b/notebooks/__code/icons/icons_rc.py @@ -1,5 +1,3 @@ -# -*- coding: utf-8 -*- - # Resource object code # # Created by: The Resource Compiler for PyQt5 (Qt v5.15.2) @@ -125,7 +123,7 @@ \x00\x00\x01\x87\xe6\xd2\x79\x30\ " -qt_version = [int(v) for v in QtCore.qVersion().split('.')] +qt_version = [int(v) for v in QtCore.qVersion().split(".")] if qt_version < [5, 8, 0]: rcc_version = 1 qt_resource_struct = qt_resource_struct_v1 @@ -133,10 +131,13 @@ rcc_version = 2 qt_resource_struct = qt_resource_struct_v2 + def qInitResources(): QtCore.qRegisterResourceData(rcc_version, qt_resource_struct, qt_resource_name, qt_resource_data) + def qCleanupResources(): QtCore.qUnregisterResourceData(rcc_version, qt_resource_struct, qt_resource_name, qt_resource_data) + qInitResources() diff --git a/notebooks/__code/image_profile_interface_template/dual_energy.py b/notebooks/__code/image_profile_interface_template/dual_energy.py index 64af5231..ca1294fe 100755 --- a/notebooks/__code/image_profile_interface_template/dual_energy.py +++ b/notebooks/__code/image_profile_interface_template/dual_energy.py @@ -1,112 +1,100 @@ -from IPython.display import HTML import os import random + import numpy as np -from IPython.display import display import pyqtgraph as pg -from qtpy.QtWidgets import QMainWindow -from qtpy import QtGui - +from IPython.display import HTML, display from neutronbraggedge.experiment_handler import * +from qtpy import QtGui +from qtpy.QtWidgets import QMainWindow +from __code import load_ui +from __code._utilities.array import exclude_y_value_when_error_is_nan from __code.bragg_edge.bragg_edge_normalization import BraggEdge as BraggEdgeParent -from __code.bragg_edge.peak_fitting_interface_initialization import Initialization from __code.bragg_edge.bragg_edge_peak_fitting_gui_utility import GuiUtility -from __code import load_ui -from __code.utilities import find_nearest_index -from __code.table_handler import TableHandler -from __code.bragg_edge.kropff_fitting_job_handler import KropffFittingJobHandler -from __code.bragg_edge.march_dollase_fitting_job_handler import MarchDollaseFittingJobHandler -from __code.bragg_edge.kropff import Kropff -from __code.bragg_edge.march_dollase import MarchDollase -from __code.bragg_edge.export_handler import ExportHandler -from __code.bragg_edge.import_handler import ImportHandler from __code.bragg_edge.bragg_edge_selection_tab import BraggEdgeSelectionTab +from __code.bragg_edge.export_handler import ExportHandler from __code.bragg_edge.get import Get +from __code.bragg_edge.import_handler import ImportHandler +from __code.bragg_edge.kropff import Kropff +from __code.bragg_edge.kropff_fitting_job_handler import KropffFittingJobHandler +from __code.bragg_edge.march_dollase import MarchDollase +from __code.bragg_edge.march_dollase_fitting_job_handler import MarchDollaseFittingJobHandler from __code.bragg_edge.peak_fitting_initialization import PeakFittingInitialization -from __code._utilities.array import exclude_y_value_when_error_is_nan +from __code.table_handler import TableHandler +from __code.utilities import find_nearest_index DEBUGGING = True class ImageProfile(BraggEdgeParent): - def load_ob(self, folder_selected): - self.load_files(data_type='ob', folder=folder_selected) + self.load_files(data_type="ob", folder=folder_selected) self.check_data_array_sizes() class Interface(QMainWindow): - - fitting_parameters_init = {'kropff': {'a0': 1, - 'b0': 1, - 'ahkl': 1, - 'bhkl': 1, - 'ldahkl': 1e-8, - 'tau': 1, - 'sigma': [1e-7, 1e-6, 1e-5]}} + fitting_parameters_init = { + "kropff": {"a0": 1, "b0": 1, "ahkl": 1, "bhkl": 1, "ldahkl": 1e-8, "tau": 1, "sigma": [1e-7, 1e-6, 1e-5]} + } bragg_edge_range = [5, 20] # relative index of the bragg peak only part (kropff and March-Dollase) - bragg_peak_selection_range = [np.NaN, np.NaN] + bragg_peak_selection_range = [np.nan, np.nan] selection_roi_rgb = (62, 13, 244) - roi_settings = {'color': QtGui.QColor(selection_roi_rgb[0], - selection_roi_rgb[1], - selection_roi_rgb[2]), - 'width': 0.01, - 'position': [10, 10]} + roi_settings = { + "color": QtGui.QColor(selection_roi_rgb[0], selection_roi_rgb[1], selection_roi_rgb[2]), + "width": 0.01, + "position": [10, 10], + } shrinking_roi_rgb = (13, 214, 244) - shrinking_roi_settings = {'color': QtGui.QColor(shrinking_roi_rgb[0], - shrinking_roi_rgb[1], - shrinking_roi_rgb[2]), - 'width': 0.01, - 'dashes_pattern': [4, 2]} + shrinking_roi_settings = { + "color": QtGui.QColor(shrinking_roi_rgb[0], shrinking_roi_rgb[1], shrinking_roi_rgb[2]), + "width": 0.01, + "dashes_pattern": [4, 2], + } fit_rgb = (0, 255, 0) shrinking_roi_id = None - shrinking_roi = {'x0': None, - 'y0': None, - 'width': None, - 'height': None} - previous_roi_selection = {'width': None, - 'height': None} - image_size = {'width': None, - 'height': None} + shrinking_roi = {"x0": None, "y0": None, "width": None, "height": None} + previous_roi_selection = {"width": None, "height": None} + image_size = {"width": None, "height": None} roi_id = None - xaxis_label = {'index': "File index", - 'tof': u"TOF (\u00B5s)", - 'lambda': u"\u03BB (\u212B)"} - fitting_rois = {'kropff': {'step1': None, - 'step2': None, - 'step3': None, - }, - } - - is_file_imported = False # True only when the import button has been used + xaxis_label = {"index": "File index", "tof": "TOF (\u00b5s)", "lambda": "\u03bb (\u212b)"} + fitting_rois = { + "kropff": { + "step1": None, + "step2": None, + "step3": None, + }, + } + + is_file_imported = False # True only when the import button has been used bragg_edge_range_ui = None - kropff_fitting_range = {'high': [None, None], - 'low': [None, None], - 'bragg_peak': [None, None]} + kropff_fitting_range = {"high": [None, None], "low": [None, None], "bragg_peak": [None, None]} fitting_peak_ui = None # vertical line in fitting view (tab 2) - fitting_procedure_started = {'march-dollase': False, - 'kropff': False} + fitting_procedure_started = {"march-dollase": False, "kropff": False} # x0, y0, x1, y1, width, height roi_dimension_from_config_file = [None, None, None, None, None, None] def __init__(self, parent=None, working_dir=""): - - display(HTML('Check UI that popped up \ - (maybe hidden behind this browser!)')) + display( + HTML( + 'Check UI that popped up \ + (maybe hidden behind this browser!)' + ) + ) super(Interface, self).__init__(parent) - ui_full_path = os.path.join(os.path.dirname(os.path.dirname(os.path.dirname(__file__))), - os.path.join('ui', - 'ui_image_profile_template.ui')) + ui_full_path = os.path.join( + os.path.dirname(os.path.dirname(os.path.dirname(__file__))), + os.path.join("ui", "ui_image_profile_template.ui"), + ) self.ui = load_ui(ui_full_path, baseinstance=self) self.setWindowTitle("Image Profile Template") @@ -129,7 +117,7 @@ def __init__(self, parent=None, working_dir=""): def retrieve_working_dir(self): o_norm = self.o_norm - file_path = o_norm.data['sample']['file_name'][0] + file_path = o_norm.data["sample"]["file_name"][0] return os.path.dirname(file_path) def load_time_spectra(self): @@ -154,18 +142,20 @@ def update_time_spectra(self): self.ui.statusbar.setStyleSheet("color: red") return - _exp = Experiment(tof=self.tof_array_s, - distance_source_detector_m=distance_source_detector_m, - detector_offset_micros=detector_offset_micros) + _exp = Experiment( + tof=self.tof_array_s, + distance_source_detector_m=distance_source_detector_m, + detector_offset_micros=detector_offset_micros, + ) self.lambda_array = _exp.lambda_array * 1e10 # to be in Angstroms def get_live_image(self): if DEBUGGING: - final_array = self.o_norm.data['sample']['data'] + final_array = self.o_norm.data["sample"]["data"] else: nbr_data_to_use = int(self.number_of_data_to_use_ui.value) - _data = self.o_norm.data['sample']['data'] + _data = self.o_norm.data["sample"]["data"] nbr_images = len(_data) list_of_indexes_to_keep = random.sample(list(range(nbr_images)), nbr_data_to_use) @@ -187,21 +177,21 @@ def roi_moved(self): def new_dimensions_within_error_range(self): """this method is used to check if the ROI sizes changed. We need an error uncertainties as sometimes the region varies by + or - 1 pixel when moving it around""" - error = 1 # # of pixel + error = 1 # # of pixel roi_id = self.roi_id - region = roi_id.getArraySlice(self.final_image, - self.ui.image_view.imageItem) + region = roi_id.getArraySlice(self.final_image, self.ui.image_view.imageItem) x0 = region[0][0].start x1 = region[0][0].stop y0 = region[0][1].start y1 = region[0][1].stop - new_width = x1-x0-1 - new_height = y1-y0-1 + new_width = x1 - x0 - 1 + new_height = y1 - y0 - 1 - if ((np.abs(new_width - int(self.ui.roi_width.text())) <= error) and - (np.abs(new_height) - int(self.ui.roi_height.text())) <= error): + if (np.abs(new_width - int(self.ui.roi_width.text())) <= error) and ( + np.abs(new_height) - int(self.ui.roi_height.text()) + ) <= error: return True return False @@ -217,19 +207,19 @@ def bragg_edge_range_changed(self): self.bragg_edge_range = [left_index, right_index] def reset_profile_of_bin_size_slider(self): - max_value = np.min([int(str(self.ui.profile_of_bin_size_width.text())), - int(str(self.ui.profile_of_bin_size_height.text()))]) + max_value = np.min( + [int(str(self.ui.profile_of_bin_size_width.text())), int(str(self.ui.profile_of_bin_size_height.text()))] + ) self.ui.profile_of_bin_size_slider.setMaximum(max_value) self.ui.profile_of_bin_size_slider.setValue(max_value) def selection_roi_slider_changed(self, new_value): if self.ui.square_roi_radiobutton.isChecked(): - mode = 'square' + mode = "square" else: - mode = 'free' + mode = "free" o_selection = BraggEdgeSelectionTab(parent=self) - o_selection.update_selection(new_value=new_value, - mode=mode) + o_selection.update_selection(new_value=new_value, mode=mode) def update_profile_of_bin_size_infos(self): _width = int(self.ui.roi_width.text()) @@ -258,25 +248,23 @@ def update_dict_profile_to_fit(self): o_selection = BraggEdgeSelectionTab(parent=self) [x0, y0, x1, y1] = o_selection.get_shrinking_roi_dimension() o_get = Get(parent=self) - profile = o_get.profile_of_roi(x0=x0, y0=y0, - x1=x1, y1=y1) + profile = o_get.profile_of_roi(x0=x0, y0=y0, x1=x1, y1=y1) - yaxis = profile[left_range: right_range] + yaxis = profile[left_range:right_range] all_x_axis = o_get.all_x_axis() - index_array = all_x_axis['index'][0] - tof_array = all_x_axis['tof'][0] - lambda_array = all_x_axis['lambda'][0] - - index_selected = index_array[left_range: right_range] - tof_selected = tof_array[left_range: right_range] - lambda_selected = lambda_array[left_range: right_range] - - profile_to_fit = {'yaxis': yaxis, - 'xaxis': {'index': index_selected, - 'tof': tof_selected, - 'lambda': lambda_selected}, - } + index_array = all_x_axis["index"][0] + tof_array = all_x_axis["tof"][0] + lambda_array = all_x_axis["lambda"][0] + + index_selected = index_array[left_range:right_range] + tof_selected = tof_array[left_range:right_range] + lambda_selected = lambda_array[left_range:right_range] + + profile_to_fit = { + "yaxis": yaxis, + "xaxis": {"index": index_selected, "tof": tof_selected, "lambda": lambda_selected}, + } self.dict_profile_to_fit = profile_to_fit def fit_that_selection_pushed_by_program(self, initialize_region=True): @@ -286,9 +274,9 @@ def fit_that_selection_pushed_by_program(self, initialize_region=True): o_init = PeakFittingInitialization(parent=self) fitting_input_dictionary = o_init.fitting_input_dictionary(nbr_rois=len(dict_regions)) - o_init.set_top_keys_values(fitting_input_dictionary, - {'xaxis': x_axis, - 'bragg_edge_range': self.bragg_edge_range}) + o_init.set_top_keys_values( + fitting_input_dictionary, {"xaxis": x_axis, "bragg_edge_range": self.bragg_edge_range} + ) self.append_dict_regions_to_fitting_input_dictionary(dict_regions, fitting_input_dictionary) # fitting_input_dictionary['xaxis'] = x_axis @@ -305,7 +293,7 @@ def fit_that_selection_pushed_by_program(self, initialize_region=True): if initialize_region: self.initialize_default_peak_regions() else: - if self.fitting_procedure_started['kropff']: + if self.fitting_procedure_started["kropff"]: o_kropff.fill_table_with_fitting_information() o_march.fill_tables_with_fitting_information() @@ -321,7 +309,7 @@ def append_dict_regions_to_fitting_input_dictionary(self, dict_regions, fitting_ for _row in dict_regions.keys(): _entry = dict_regions[_row] for _key in _entry.keys(): - fitting_input_dictionary['rois'][_row][_key] = _entry[_key] + fitting_input_dictionary["rois"][_row][_key] = _entry[_key] def fit_that_selection_pushed(self): """this will create the fitting_input_dictionary and initialize the table""" @@ -329,10 +317,10 @@ def fit_that_selection_pushed(self): def initialize_default_peak_regions(self): [left_range, right_range] = self.bragg_edge_range - xaxis_dict = self.fitting_input_dictionary['xaxis'] - xaxis_index, _ = xaxis_dict['index'] + xaxis_dict = self.fitting_input_dictionary["xaxis"] + xaxis_index, _ = xaxis_dict["index"] [left_xaxis_index, right_xaxis_index] = self.bragg_edge_range - xaxis = xaxis_index[left_xaxis_index: right_xaxis_index] + xaxis = xaxis_index[left_xaxis_index:right_xaxis_index] left_index = find_nearest_index(array=xaxis, value=left_range) right_index = find_nearest_index(array=xaxis, value=right_range) @@ -345,8 +333,8 @@ def initialize_default_peak_regions(self): def profile_of_bin_size_slider_changed_after_import(self, new_value): dict_rois_imported = self.dict_rois_imported - new_width = dict_rois_imported[new_value]['width'] - new_height = dict_rois_imported[new_value]['height'] + new_width = dict_rois_imported[new_value]["width"] + new_height = dict_rois_imported[new_value]["height"] self.ui.profile_of_bin_size_height.setText(new_height) self.ui.profile_of_bin_size_width.setText(new_width) @@ -354,9 +342,9 @@ def profile_of_bin_size_slider_changed_after_import(self, new_value): o_selection.update_selection_plot() self.update_vertical_line_in_profile_plot() - self.update_kropff_fit_table_graph(fit_region='high') - self.update_kropff_fit_table_graph(fit_region='low') - self.update_kropff_fit_table_graph(fit_region='bragg_peak') + self.update_kropff_fit_table_graph(fit_region="high") + self.update_kropff_fit_table_graph(fit_region="low") + self.update_kropff_fit_table_graph(fit_region="bragg_peak") def profile_of_bin_size_slider_changed(self, new_value): o_selection = BraggEdgeSelectionTab(parent=self) @@ -369,15 +357,13 @@ def update_roi_defined_by_profile_of_bin_size_slider(self): def add_profile_to_dict_of_all_regions(self, dict_regions=None): for _key in dict_regions.keys(): current_region = dict_regions[_key] - x0 = current_region['x0'] - y0 = current_region['y0'] - width = current_region['width'] - height = current_region['height'] + x0 = current_region["x0"] + y0 = current_region["y0"] + width = current_region["width"] + height = current_region["height"] o_get = Get(parent=self) - profile = o_get.profile_of_roi(x0=x0, y0=y0, - x1=x0 + width, - y1=y0 + height) - current_region['profile'] = profile + profile = o_get.profile_of_roi(x0=x0, y0=y0, x1=x0 + width, y1=y0 + height) + current_region["profile"] = profile def select_first_row_of_all_fitting_table(self): self.ui.high_lda_tableWidget.selectRow(0) @@ -404,11 +390,11 @@ def update_fitting_plot(self): o_gui = GuiUtility(parent=self) algorithm_tab_selected = o_gui.get_tab_selected(tab_ui=self.ui.tab_algorithm) - if algorithm_tab_selected == 'Kropff': + if algorithm_tab_selected == "Kropff": o_kropff = Kropff(parent=self) o_kropff.update_fitting_plot() - elif algorithm_tab_selected == 'March-Dollase': + elif algorithm_tab_selected == "March-Dollase": o_march = MarchDollase(parent=self) o_march.update_fitting_plot() @@ -416,9 +402,9 @@ def fitting_range_changed(self): o_gui = GuiUtility(parent=self) algorithm_tab_selected = o_gui.get_tab_selected(tab_ui=self.ui.tab_algorithm) - if algorithm_tab_selected == 'Kropff': + if algorithm_tab_selected == "Kropff": self.kropff_fitting_range_changed() - elif algorithm_tab_selected == 'March-Dollase': + elif algorithm_tab_selected == "March-Dollase": self.march_dollase_fitting_range_changed() def kropff_fitting_range_changed(self): @@ -428,13 +414,13 @@ def kropff_fitting_range_changed(self): return [left_range, right_range] = list(self.fitting_peak_ui.getRegion()) - xaxis_dict = self.fitting_input_dictionary['xaxis'] + xaxis_dict = self.fitting_input_dictionary["xaxis"] o_get = Get(parent=self) x_axis_selected = o_get.x_axis_checked() xaxis_index, _ = xaxis_dict[x_axis_selected] [left_xaxis_index, right_xaxis_index] = self.bragg_edge_range - xaxis = xaxis_index[left_xaxis_index: right_xaxis_index] + xaxis = xaxis_index[left_xaxis_index:right_xaxis_index] left_index = find_nearest_index(array=xaxis, value=left_range) right_index = find_nearest_index(array=xaxis, value=right_range) @@ -442,9 +428,9 @@ def kropff_fitting_range_changed(self): global_left_index = find_nearest_index(array=xaxis, value=global_left_range) global_right_index = find_nearest_index(array=xaxis, value=global_right_range) - self.kropff_fitting_range['high'] = [right_index, global_right_index] - self.kropff_fitting_range['low'] = [global_left_index, left_index] - self.kropff_fitting_range['bragg_peak'] = [left_index, right_index] + self.kropff_fitting_range["high"] = [right_index, global_right_index] + self.kropff_fitting_range["low"] = [global_left_index, left_index] + self.kropff_fitting_range["bragg_peak"] = [left_index, right_index] self.bragg_peak_selection_range = [left_index, right_index] o_kropff = Kropff(parent=self) @@ -466,16 +452,13 @@ def update_vertical_line_in_profile_plot(self): o_get = Get(parent=self) x_axis, x_axis_label = o_get.x_axis() - bragg_edge_range = [x_axis[self.bragg_edge_range[0]], - x_axis[self.bragg_edge_range[1]]] + bragg_edge_range = [x_axis[self.bragg_edge_range[0]], x_axis[self.bragg_edge_range[1]]] if self.bragg_edge_range_ui: self.ui.profile.removeItem(self.bragg_edge_range_ui) - self.bragg_edge_range_ui = pg.LinearRegionItem(values=bragg_edge_range, - orientation=None, - brush=None, - movable=True, - bounds=None) + self.bragg_edge_range_ui = pg.LinearRegionItem( + values=bragg_edge_range, orientation=None, brush=None, movable=True, bounds=None + ) self.bragg_edge_range_ui.sigRegionChanged.connect(self.bragg_edge_range_changed) self.bragg_edge_range_ui.setZValue(-10) self.ui.profile.addItem(self.bragg_edge_range_ui) @@ -499,15 +482,17 @@ def full_reset_of_ui(self): o_table.remove_all_rows() def block_table_ui(self, flag): - list_ui = [self.ui.high_lda_tableWidget, - self.ui.low_lda_tableWidget, - self.ui.bragg_edge_tableWidget, - self.ui.march_dollase_result_table] + list_ui = [ + self.ui.high_lda_tableWidget, + self.ui.low_lda_tableWidget, + self.ui.bragg_edge_tableWidget, + self.ui.march_dollase_result_table, + ] for _ui in list_ui: _ui.blockSignals(flag) def is_fit_infos_loaded(self): - if 'fit_infos' in self.fitting_input_dictionary.keys(): + if "fit_infos" in self.fitting_input_dictionary.keys(): return True return False @@ -523,18 +508,16 @@ def export_button_clicked(self): def roi_radiobuttons_changed(self): if self.ui.square_roi_radiobutton.isChecked(): slider_visible = True - new_width = np.min([int(str(self.ui.roi_width.text())), - int(str(self.ui.roi_height.text()))]) - mode = 'square' + new_width = np.min([int(str(self.ui.roi_width.text())), int(str(self.ui.roi_height.text()))]) + mode = "square" else: slider_visible = False new_width = int(str(self.ui.roi_width.text())) self.selection_roi_slider_changed(new_width) - mode = 'free' + mode = "free" o_selection = BraggEdgeSelectionTab(parent=self) - o_selection.update_selection(new_value=new_width, - mode=mode) + o_selection.update_selection(new_value=new_width, mode=mode) self.ui.roi_size_slider.setVisible(slider_visible) @@ -563,36 +546,36 @@ def fit_kropff_button_pushed(self): self.ui.statusbar.setStyleSheet("color: blue") self.ui.statusbar.showMessage("Fitting Done!", 1000) # 10s - self.fitting_procedure_started['kropff'] = True + self.fitting_procedure_started["kropff"] = True def kropff_fit_high_lambda_region_clicked(self): - self.switch_fitting_axis_to('lambda') + self.switch_fitting_axis_to("lambda") o_fit = KropffFittingJobHandler(parent=self) - o_fit.prepare(kropff_tooldbox='high') + o_fit.prepare(kropff_tooldbox="high") o_fit.run_kropff_high_lambda(update_table_ui=True) self.update_fitting_plot() - self.update_kropff_fit_table_graph(fit_region='high') + self.update_kropff_fit_table_graph(fit_region="high") def kropff_fit_low_lambda_region_clicked(self): - self.switch_fitting_axis_to('lambda') + self.switch_fitting_axis_to("lambda") o_fit = KropffFittingJobHandler(parent=self) - o_fit.prepare(kropff_tooldbox='low') + o_fit.prepare(kropff_tooldbox="low") o_fit.run_kropff_low_lambda(update_table_ui=True) self.update_fitting_plot() - self.update_kropff_fit_table_graph(fit_region='low') + self.update_kropff_fit_table_graph(fit_region="low") def kropff_fit_bragg_peak_region_clicked(self): self.kropff_fit_bragg_peak_region_of_selected_rows() def kropff_fit_bragg_peak_region_of_selected_rows(self, list_row_to_fit=None): - self.switch_fitting_axis_to('lambda') + self.switch_fitting_axis_to("lambda") o_fit = KropffFittingJobHandler(parent=self) - o_fit.prepare(kropff_tooldbox='bragg_peak') + o_fit.prepare(kropff_tooldbox="bragg_peak") o_fit.run_bragg_peak(update_table_ui=True, list_row_to_fit=list_row_to_fit) self.update_fitting_plot() - self.update_kropff_fit_table_graph(fit_region='bragg_peak') + self.update_kropff_fit_table_graph(fit_region="bragg_peak") - def update_kropff_fit_table_graph(self, fit_region='high'): + def update_kropff_fit_table_graph(self, fit_region="high"): """ update the plot of the fit parameters selected :param fit_region: 'high', 'low' or 'bragg_peak' @@ -602,25 +585,26 @@ def update_kropff_fit_table_graph(self, fit_region='high'): parameter_array = [] parameter_error_array = [] fitting_input_dictionary = self.fitting_input_dictionary - for _index in fitting_input_dictionary['rois'].keys(): - _parameter = fitting_input_dictionary['rois'][_index]['fitting']['kropff'][fit_region][fit_parameter_selected] - _error = fitting_input_dictionary['rois'][_index]['fitting']['kropff'][fit_region]["{}_error".format(fit_parameter_selected)] + for _index in fitting_input_dictionary["rois"].keys(): + _parameter = fitting_input_dictionary["rois"][_index]["fitting"]["kropff"][fit_region][ + fit_parameter_selected + ] + _error = fitting_input_dictionary["rois"][_index]["fitting"]["kropff"][fit_region][ + f"{fit_parameter_selected}_error" + ] parameter_array.append(_parameter) parameter_error_array.append(_error) plot_ui = o_gui.get_kropff_fit_graph_ui(fit_region=fit_region) x_array = np.arange(len(parameter_array)) - cleaned_parameter_array, cleaned_parameter_error_array = \ - exclude_y_value_when_error_is_nan(parameter_array, - parameter_error_array) + cleaned_parameter_array, cleaned_parameter_error_array = exclude_y_value_when_error_is_nan( + parameter_array, parameter_error_array + ) plot_ui.axes.cla() - if fit_region == 'bragg_peak': + if fit_region == "bragg_peak": plot_ui.axes.set_yscale("log") - plot_ui.axes.errorbar(x_array, - cleaned_parameter_array, - cleaned_parameter_error_array, - marker='s') + plot_ui.axes.errorbar(x_array, cleaned_parameter_array, cleaned_parameter_error_array, marker="s") plot_ui.axes.set_xlabel("Row # (see Table tab)") plot_ui.draw() @@ -631,23 +615,23 @@ def kropff_bragg_peak_selection_mode_changed(self): self.ui.bragg_edge_tableWidget.setSelectionMode(2) self.update_fitting_plot() - def switch_fitting_axis_to(self, button_name='tof'): - if button_name == 'tof': + def switch_fitting_axis_to(self, button_name="tof"): + if button_name == "tof": self.ui.fitting_tof_radiobutton.setChecked(True) - elif button_name == 'lambda': + elif button_name == "lambda": self.ui.fitting_lambda_radiobutton.setChecked(True) else: self.ui.fitting_index_radiobutton.setChecked(True) self.fitting_axis_changed() def update_kropff_high_plot(self): - self.update_kropff_fit_table_graph(fit_region='high') + self.update_kropff_fit_table_graph(fit_region="high") def update_kropff_low_plot(self): - self.update_kropff_fit_table_graph(fit_region='low') + self.update_kropff_fit_table_graph(fit_region="low") def update_kropff_bragg_peak_plot(self): - self.update_kropff_fit_table_graph(fit_region='bragg_peak') + self.update_kropff_fit_table_graph(fit_region="bragg_peak") def kropff_bragg_peak_right_click(self, position): o_kropff = Kropff(parent=self) @@ -663,7 +647,7 @@ def march_dollase_table_state_changed(self, state=None, row=None, column=None): _textedit.setVisible(not state) elif column == 0: _label = _widget - _label.setText("{:0.6f}".format(float(o_march.get_initial_parameter_value(column=column)))) + _label.setText(f"{float(o_march.get_initial_parameter_value(column=column)):0.6f}") _label.setVisible(not state) else: _label = _widget diff --git a/notebooks/__code/image_profile_interface_template/interface_initialization.py b/notebooks/__code/image_profile_interface_template/interface_initialization.py index 84217ae8..8db79cb3 100755 --- a/notebooks/__code/image_profile_interface_template/interface_initialization.py +++ b/notebooks/__code/image_profile_interface_template/interface_initialization.py @@ -1,274 +1,273 @@ -import numpy as np -import matplotlib -import os import copy -matplotlib.use('Qt5Agg') +import os -from matplotlib.backends.backend_qt5agg import NavigationToolbar2QT as NavigationToolbar +import matplotlib +import numpy as np + +matplotlib.use("Qt5Agg") -from qtpy.QtWidgets import QProgressBar, QVBoxLayout -from qtpy import QtGui import pyqtgraph as pg +from matplotlib.backends.backend_qt5agg import NavigationToolbar2QT as NavigationToolbar +from qtpy import QtGui +from qtpy.QtWidgets import QProgressBar, QVBoxLayout -from __code.table_handler import TableHandler -from __code.bragg_edge.mplcanvas import MplCanvas from __code.bragg_edge.bragg_edge_peak_fitting_gui_utility import GuiUtility +from __code.bragg_edge.mplcanvas import MplCanvas +from __code.table_handler import TableHandler class Initialization: - - distance_detector_sample = 1300 # m - detector_offset = 6500 # micros - - march_dollase_history_state = list() - march_dollase_history_init = [np.NaN, np.NaN] - march_dollase_history_state.append([False, False, False, True, False, False, True]) - march_dollase_history_state.append([False, False, False, False, True, True, False]) - march_dollase_history_state.append([True, True, True, False, False, False, False]) - march_dollase_history_state.append([False, False, False, True, True, True, True]) - march_dollase_history_state.append([True, True, True, False, False, False, False]) - march_dollase_history_state.append([True, True, True, True, True, True, True]) - - def __init__(self, parent=None, tab='all'): - self.parent = parent - - self.block_signals(True) - self.pyqtgraph_image_view() - self.pyqtgraph_profile() - self.matplotlib() - - if tab == 'all': - self.normalize_images_by_white_beam() - self.save_image_size() - self.roi_setup() - self.widgets() - - self.labels() - self.text_fields() - self.statusbar() - self.pyqtgraph_fitting() - self.kropff_fitting_table() - self.march_dollase() - - self.block_signals(False) - - def normalize_images_by_white_beam(self): - white_beam_ob = self.parent.o_bragg.white_beam_ob - list_data = self.parent.o_norm.data['sample']['data'] - for _index_data, _data in enumerate(list_data): - normalized_data = _data / white_beam_ob - self.parent.o_norm.data['sample']['data'][_index_data] = normalized_data - - def block_signals(self, flag): - list_ui = [self.parent.ui.profile_of_bin_size_slider] - for _ui in list_ui: - _ui.blockSignals(flag) - - def save_image_size(self): - _image = self.parent.get_live_image() - [height, width] = np.shape(_image) - self.parent.image_size['width'] = width - self.parent.image_size['height'] = height - - def statusbar(self): - self.parent.eventProgress = QProgressBar(self.parent.ui.statusbar) - self.parent.eventProgress.setMinimumSize(20, 14) - self.parent.eventProgress.setMaximumSize(540, 100) - self.parent.eventProgress.setVisible(False) - self.parent.ui.statusbar.addPermanentWidget(self.parent.eventProgress) - - def pyqtgraph_image_view(self): - # image view - self.parent.ui.image_view = pg.ImageView() - self.parent.ui.image_view.ui.roiBtn.hide() - self.parent.ui.image_view.ui.menuBtn.hide() - image_layout = QVBoxLayout() - image_layout.addWidget(self.parent.ui.image_view) - self.parent.ui.image_widget.setLayout(image_layout) - - def pyqtgraph_profile(self): - # profile view - self.parent.ui.profile = pg.PlotWidget(title="Profile of ROI selected") - profile_layout = QVBoxLayout() - profile_layout.addWidget(self.parent.ui.profile) - self.parent.ui.profile_widget.setLayout(profile_layout) - - def matplotlib(self): - - def _matplotlib(parent=None, widget=None): - sc = MplCanvas(parent, width=5, height=4, dpi=100) - # sc.axes.plot([0,1,2,3,4,5], [10, 1, 20 ,3, 40, 50]) - toolbar = NavigationToolbar(sc, parent) - layout = QVBoxLayout() - layout.addWidget(toolbar) - layout.addWidget(sc) - widget.setLayout(layout) - return sc - - self.parent.kropff_high_plot = _matplotlib(parent=self.parent, - widget=self.parent.ui.high_widget) - self.parent.kropff_low_plot = _matplotlib(parent=self.parent, - widget=self.parent.ui.low_widget) - self.parent.kropff_bragg_peak_plot = _matplotlib(parent=self.parent, - widget=self.parent.ui.bragg_peak_widget) - - self.parent.march_dollase_plot = _matplotlib(parent=self.parent, - widget=self.parent.ui.march_dollase_graph_widget) - - def pyqtgraph_fitting(self): - # fitting view - self.parent.ui.fitting = pg.PlotWidget(title="Fitting") - fitting_layout = QVBoxLayout() - fitting_layout.addWidget(self.parent.ui.fitting) - self.parent.ui.fitting_widget.setLayout(fitting_layout) - - def kropff_fitting_table(self): - ## Kropff - # high lambda - column_names = [u'x\u2080; y\u2080; width; height', u'a\u2080', u'b\u2080', u'a\u2080_error', - u'b\u2080_error'] - column_sizes = [150, 100, 100, 100, 100] - o_high = TableHandler(table_ui=self.parent.ui.high_lda_tableWidget) - for _col_index, _col_name in enumerate(column_names): - o_high.insert_column(_col_index) - o_high.set_column_names(column_names=column_names) - o_high.set_column_sizes(column_sizes=column_sizes) - - # low lambda - column_names = [u'x\u2080; y\u2080; width; height', - u'a_hkl', u'b_hkl', - u'a_hkl_error', - u'b_hkl_error'] - column_sizes = [150, 100, 100, 100, 100] - o_low = TableHandler(table_ui=self.parent.ui.low_lda_tableWidget) - for _col_index, _col_name in enumerate(column_names): - o_low.insert_column(_col_index) - o_low.set_column_names(column_names=column_names) - o_low.set_column_sizes(column_sizes=column_sizes) - - # bragg edge - column_names = ['x0; y0; width; height', 't_hkl', 'tau', 'sigma', - 't_hkl_error', 'tau_error', 'sigma_error'] - column_sizes = [150, 100, 100, 100, 100, 100, 100] - o_bragg = TableHandler(table_ui=self.parent.ui.bragg_edge_tableWidget) - for _col_index, _col_name in enumerate(column_names): - o_bragg.insert_column(_col_index) - o_bragg.set_column_names(column_names=column_names) - o_bragg.set_column_sizes(column_sizes=column_sizes) - - def march_dollase(self): - - self.parent.march_dollase_history_state_full_reset = copy.deepcopy(self.march_dollase_history_state) - - # init widgets - _file_path = os.path.dirname(__file__) - up_arrow_file = os.path.abspath(os.path.join(_file_path, '../static/up_arrow_black.png')) - self.parent.ui.march_dollase_user_input_up.setIcon(QtGui.QIcon(up_arrow_file)) - - down_arrow_file = os.path.abspath(os.path.join(_file_path, '../static/down_arrow_black.png')) - self.parent.ui.march_dollase_user_input_down.setIcon(QtGui.QIcon(down_arrow_file)) - - o_gui = GuiUtility(parent=self.parent) - o_gui.fill_march_dollase_table(list_state=self.march_dollase_history_state, - initial_parameters=self.parent.march_dollase_fitting_initial_parameters) - - self.parent.march_dollase_fitting_history_table = self.march_dollase_history_state - self.parent.march_dollase_fitting_history_table_default_new_row = copy.deepcopy( - self.march_dollase_history_state[0]) - - column_names = [u'x\u2080; y\u2080; width; height', - u'd_spacing', u'sigma', u'alpha', - u'A\u2081', u'A\u2082', - u'A\u2085', u'A\u2086', - u'd_spacing_error', u'sigma_error', u'alpha_error', - u'A\u2081_error', - u'A\u2082_error', - u'A\u2085_error', u'A\u2086_error', - ] - column_sizes = [150, 100, 100, 100, 100, 100, 100, 100, - 100, 100, 100, 100, 100, 100, 100] - o_march = TableHandler(table_ui=self.parent.ui.march_dollase_result_table) - for _col_index, _col_name in enumerate(column_names): - o_march.insert_column(_col_index) - o_march.set_column_names(column_names=column_names) - o_march.set_column_sizes(column_sizes=column_sizes) - - state_advanced_columns = not self.parent.ui.march_dollase_advanced_mode_checkBox.isChecked() - o_gui.set_columns_hidden(table_ui=self.parent.ui.march_dollase_user_input_table, - list_of_columns=[5, 6], - state=state_advanced_columns) - - # table - self.parent.ui.march_dollase_user_input_table.verticalHeader().setVisible(True) - self.parent.ui.march_dollase_result_table.verticalHeader().setVisible(True) - self.parent.ui.march_dollase_result_table.horizontalHeader().setVisible(True) - - def labels(self): - # labels - self.parent.ui.detector_offset_units.setText(u"\u03BCs") - self.parent.ui.selection_tof_radiobutton.setText(u"TOF (\u03BCs)") - self.parent.ui.fitting_tof_radiobutton.setText(u"TOF (\u03BCs)") - self.parent.ui.selection_lambda_radiobutton.setText(u"\u03BB (\u212B)") - self.parent.ui.fitting_lambda_radiobutton.setText(u"\u03BB (\u212B)") - - def text_fields(self): - self.parent.ui.distance_detector_sample.setText(str(self.distance_detector_sample)) - self.parent.ui.detector_offset.setText(str(self.detector_offset)) - - self.parent.ui.kropff_high_lda_a0_init.setText(str(self.parent.fitting_parameters_init['kropff']['a0'])) - self.parent.ui.kropff_high_lda_b0_init.setText(str(self.parent.fitting_parameters_init['kropff']['b0'])) - self.parent.ui.kropff_low_lda_ahkl_init.setText(str(self.parent.fitting_parameters_init['kropff']['ahkl'])) - self.parent.ui.kropff_low_lda_bhkl_init.setText(str(self.parent.fitting_parameters_init['kropff']['bhkl'])) - self.parent.ui.kropff_bragg_peak_ldahkl_init.setText(str(self.parent.fitting_parameters_init['kropff'][ - 'ldahkl'])) - self.parent.ui.kropff_bragg_peak_tau_init.setText(str(self.parent.fitting_parameters_init['kropff']['tau'])) - # list_sigma = self.parent.fitting_parameters_init['kropff']['sigma'] - # list_sigma = [str(_value) for _value in list_sigma] - # str_list_sigma = ", ".join(list_sigma) - # self.parent.ui.kropff_bragg_peak_sigma_init.setText(str_list_sigma) - - kropff_list_sigma = self.parent.fitting_parameters_init['kropff']['sigma'] - str_kropff_list_sigma = [str(value) for value in kropff_list_sigma] - self.parent.ui.kropff_bragg_peak_sigma_comboBox.addItems(str_kropff_list_sigma) - - def widgets(self): - self.parent.ui.splitter.setSizes([500, 400]) - - self.parent.ui.roi_size_slider.setMinimum(1) - max_value = np.min([self.parent.image_size['width'], self.parent.image_size['height']]) - self.parent.ui.roi_size_slider.setMaximum(max_value) - default_roi_size = int(max_value/3) - self.parent.ui.roi_size_slider.setValue(default_roi_size) - self.parent.ui.roi_width.setText(str(default_roi_size)) - self.parent.ui.roi_height.setText(str(default_roi_size)) - self.parent.ui.profile_of_bin_size_width.setText(str(default_roi_size)) - self.parent.ui.profile_of_bin_size_height.setText(str(default_roi_size)) - self.parent.ui.profile_of_bin_size_slider.setMaximum(default_roi_size) - self.parent.ui.profile_of_bin_size_slider.setValue(default_roi_size) - - def roi_setup(self): - [x0, y0] = self.parent.roi_settings['position'] - self.parent.selection_x0y0 = [x0, y0] - width = self.parent.ui.roi_size_slider.value() - self.parent.previous_roi_selection['width'] = width - self.parent.previous_roi_selection['height'] = width - _pen = QtGui.QPen() - _pen.setColor(self.parent.roi_settings['color']) - _pen.setWidthF(self.parent.roi_settings['width']) - self.parent.roi_id = pg.ROI([x0, y0], - [width, width], - pen=_pen, - scaleSnap=True) - self.parent.ui.image_view.addItem(self.parent.roi_id) - self.parent.roi_id.sigRegionChanged.connect(self.parent.roi_moved) - - def display(self, image=None): - self.parent.live_image = image - _image = np.transpose(image) - _image = self._clean_image(_image) - self.parent.ui.image_view.setImage(_image) - - def _clean_image(self, image): - _result_inf = np.where(np.isinf(image)) - image[_result_inf] = np.NaN - return image + distance_detector_sample = 1300 # m + detector_offset = 6500 # micros + + march_dollase_history_state = list() + march_dollase_history_init = [np.nan, np.nan] + march_dollase_history_state.append([False, False, False, True, False, False, True]) + march_dollase_history_state.append([False, False, False, False, True, True, False]) + march_dollase_history_state.append([True, True, True, False, False, False, False]) + march_dollase_history_state.append([False, False, False, True, True, True, True]) + march_dollase_history_state.append([True, True, True, False, False, False, False]) + march_dollase_history_state.append([True, True, True, True, True, True, True]) + + def __init__(self, parent=None, tab="all"): + self.parent = parent + + self.block_signals(True) + self.pyqtgraph_image_view() + self.pyqtgraph_profile() + self.matplotlib() + + if tab == "all": + self.normalize_images_by_white_beam() + self.save_image_size() + self.roi_setup() + self.widgets() + + self.labels() + self.text_fields() + self.statusbar() + self.pyqtgraph_fitting() + self.kropff_fitting_table() + self.march_dollase() + + self.block_signals(False) + + def normalize_images_by_white_beam(self): + white_beam_ob = self.parent.o_bragg.white_beam_ob + list_data = self.parent.o_norm.data["sample"]["data"] + for _index_data, _data in enumerate(list_data): + normalized_data = _data / white_beam_ob + self.parent.o_norm.data["sample"]["data"][_index_data] = normalized_data + + def block_signals(self, flag): + list_ui = [self.parent.ui.profile_of_bin_size_slider] + for _ui in list_ui: + _ui.blockSignals(flag) + + def save_image_size(self): + _image = self.parent.get_live_image() + [height, width] = np.shape(_image) + self.parent.image_size["width"] = width + self.parent.image_size["height"] = height + + def statusbar(self): + self.parent.eventProgress = QProgressBar(self.parent.ui.statusbar) + self.parent.eventProgress.setMinimumSize(20, 14) + self.parent.eventProgress.setMaximumSize(540, 100) + self.parent.eventProgress.setVisible(False) + self.parent.ui.statusbar.addPermanentWidget(self.parent.eventProgress) + + def pyqtgraph_image_view(self): + # image view + self.parent.ui.image_view = pg.ImageView() + self.parent.ui.image_view.ui.roiBtn.hide() + self.parent.ui.image_view.ui.menuBtn.hide() + image_layout = QVBoxLayout() + image_layout.addWidget(self.parent.ui.image_view) + self.parent.ui.image_widget.setLayout(image_layout) + + def pyqtgraph_profile(self): + # profile view + self.parent.ui.profile = pg.PlotWidget(title="Profile of ROI selected") + profile_layout = QVBoxLayout() + profile_layout.addWidget(self.parent.ui.profile) + self.parent.ui.profile_widget.setLayout(profile_layout) + + def matplotlib(self): + def _matplotlib(parent=None, widget=None): + sc = MplCanvas(parent, width=5, height=4, dpi=100) + # sc.axes.plot([0,1,2,3,4,5], [10, 1, 20 ,3, 40, 50]) + toolbar = NavigationToolbar(sc, parent) + layout = QVBoxLayout() + layout.addWidget(toolbar) + layout.addWidget(sc) + widget.setLayout(layout) + return sc + + self.parent.kropff_high_plot = _matplotlib(parent=self.parent, widget=self.parent.ui.high_widget) + self.parent.kropff_low_plot = _matplotlib(parent=self.parent, widget=self.parent.ui.low_widget) + self.parent.kropff_bragg_peak_plot = _matplotlib(parent=self.parent, widget=self.parent.ui.bragg_peak_widget) + + self.parent.march_dollase_plot = _matplotlib( + parent=self.parent, widget=self.parent.ui.march_dollase_graph_widget + ) + + def pyqtgraph_fitting(self): + # fitting view + self.parent.ui.fitting = pg.PlotWidget(title="Fitting") + fitting_layout = QVBoxLayout() + fitting_layout.addWidget(self.parent.ui.fitting) + self.parent.ui.fitting_widget.setLayout(fitting_layout) + + def kropff_fitting_table(self): + ## Kropff + # high lambda + column_names = ["x\u2080; y\u2080; width; height", "a\u2080", "b\u2080", "a\u2080_error", "b\u2080_error"] + column_sizes = [150, 100, 100, 100, 100] + o_high = TableHandler(table_ui=self.parent.ui.high_lda_tableWidget) + for _col_index, _col_name in enumerate(column_names): + o_high.insert_column(_col_index) + o_high.set_column_names(column_names=column_names) + o_high.set_column_sizes(column_sizes=column_sizes) + + # low lambda + column_names = ["x\u2080; y\u2080; width; height", "a_hkl", "b_hkl", "a_hkl_error", "b_hkl_error"] + column_sizes = [150, 100, 100, 100, 100] + o_low = TableHandler(table_ui=self.parent.ui.low_lda_tableWidget) + for _col_index, _col_name in enumerate(column_names): + o_low.insert_column(_col_index) + o_low.set_column_names(column_names=column_names) + o_low.set_column_sizes(column_sizes=column_sizes) + + # bragg edge + column_names = ["x0; y0; width; height", "t_hkl", "tau", "sigma", "t_hkl_error", "tau_error", "sigma_error"] + column_sizes = [150, 100, 100, 100, 100, 100, 100] + o_bragg = TableHandler(table_ui=self.parent.ui.bragg_edge_tableWidget) + for _col_index, _col_name in enumerate(column_names): + o_bragg.insert_column(_col_index) + o_bragg.set_column_names(column_names=column_names) + o_bragg.set_column_sizes(column_sizes=column_sizes) + + def march_dollase(self): + self.parent.march_dollase_history_state_full_reset = copy.deepcopy(self.march_dollase_history_state) + + # init widgets + _file_path = os.path.dirname(__file__) + up_arrow_file = os.path.abspath(os.path.join(_file_path, "../static/up_arrow_black.png")) + self.parent.ui.march_dollase_user_input_up.setIcon(QtGui.QIcon(up_arrow_file)) + + down_arrow_file = os.path.abspath(os.path.join(_file_path, "../static/down_arrow_black.png")) + self.parent.ui.march_dollase_user_input_down.setIcon(QtGui.QIcon(down_arrow_file)) + + o_gui = GuiUtility(parent=self.parent) + o_gui.fill_march_dollase_table( + list_state=self.march_dollase_history_state, + initial_parameters=self.parent.march_dollase_fitting_initial_parameters, + ) + + self.parent.march_dollase_fitting_history_table = self.march_dollase_history_state + self.parent.march_dollase_fitting_history_table_default_new_row = copy.deepcopy( + self.march_dollase_history_state[0] + ) + + column_names = [ + "x\u2080; y\u2080; width; height", + "d_spacing", + "sigma", + "alpha", + "A\u2081", + "A\u2082", + "A\u2085", + "A\u2086", + "d_spacing_error", + "sigma_error", + "alpha_error", + "A\u2081_error", + "A\u2082_error", + "A\u2085_error", + "A\u2086_error", + ] + column_sizes = [150, 100, 100, 100, 100, 100, 100, 100, 100, 100, 100, 100, 100, 100, 100] + o_march = TableHandler(table_ui=self.parent.ui.march_dollase_result_table) + for _col_index, _col_name in enumerate(column_names): + o_march.insert_column(_col_index) + o_march.set_column_names(column_names=column_names) + o_march.set_column_sizes(column_sizes=column_sizes) + + state_advanced_columns = not self.parent.ui.march_dollase_advanced_mode_checkBox.isChecked() + o_gui.set_columns_hidden( + table_ui=self.parent.ui.march_dollase_user_input_table, list_of_columns=[5, 6], state=state_advanced_columns + ) + + # table + self.parent.ui.march_dollase_user_input_table.verticalHeader().setVisible(True) + self.parent.ui.march_dollase_result_table.verticalHeader().setVisible(True) + self.parent.ui.march_dollase_result_table.horizontalHeader().setVisible(True) + + def labels(self): + # labels + self.parent.ui.detector_offset_units.setText("\u03bcs") + self.parent.ui.selection_tof_radiobutton.setText("TOF (\u03bcs)") + self.parent.ui.fitting_tof_radiobutton.setText("TOF (\u03bcs)") + self.parent.ui.selection_lambda_radiobutton.setText("\u03bb (\u212b)") + self.parent.ui.fitting_lambda_radiobutton.setText("\u03bb (\u212b)") + + def text_fields(self): + self.parent.ui.distance_detector_sample.setText(str(self.distance_detector_sample)) + self.parent.ui.detector_offset.setText(str(self.detector_offset)) + + self.parent.ui.kropff_high_lda_a0_init.setText(str(self.parent.fitting_parameters_init["kropff"]["a0"])) + self.parent.ui.kropff_high_lda_b0_init.setText(str(self.parent.fitting_parameters_init["kropff"]["b0"])) + self.parent.ui.kropff_low_lda_ahkl_init.setText(str(self.parent.fitting_parameters_init["kropff"]["ahkl"])) + self.parent.ui.kropff_low_lda_bhkl_init.setText(str(self.parent.fitting_parameters_init["kropff"]["bhkl"])) + self.parent.ui.kropff_bragg_peak_ldahkl_init.setText( + str(self.parent.fitting_parameters_init["kropff"]["ldahkl"]) + ) + self.parent.ui.kropff_bragg_peak_tau_init.setText(str(self.parent.fitting_parameters_init["kropff"]["tau"])) + # list_sigma = self.parent.fitting_parameters_init['kropff']['sigma'] + # list_sigma = [str(_value) for _value in list_sigma] + # str_list_sigma = ", ".join(list_sigma) + # self.parent.ui.kropff_bragg_peak_sigma_init.setText(str_list_sigma) + + kropff_list_sigma = self.parent.fitting_parameters_init["kropff"]["sigma"] + str_kropff_list_sigma = [str(value) for value in kropff_list_sigma] + self.parent.ui.kropff_bragg_peak_sigma_comboBox.addItems(str_kropff_list_sigma) + + def widgets(self): + self.parent.ui.splitter.setSizes([500, 400]) + + self.parent.ui.roi_size_slider.setMinimum(1) + max_value = np.min([self.parent.image_size["width"], self.parent.image_size["height"]]) + self.parent.ui.roi_size_slider.setMaximum(max_value) + default_roi_size = int(max_value / 3) + self.parent.ui.roi_size_slider.setValue(default_roi_size) + self.parent.ui.roi_width.setText(str(default_roi_size)) + self.parent.ui.roi_height.setText(str(default_roi_size)) + self.parent.ui.profile_of_bin_size_width.setText(str(default_roi_size)) + self.parent.ui.profile_of_bin_size_height.setText(str(default_roi_size)) + self.parent.ui.profile_of_bin_size_slider.setMaximum(default_roi_size) + self.parent.ui.profile_of_bin_size_slider.setValue(default_roi_size) + + def roi_setup(self): + [x0, y0] = self.parent.roi_settings["position"] + self.parent.selection_x0y0 = [x0, y0] + width = self.parent.ui.roi_size_slider.value() + self.parent.previous_roi_selection["width"] = width + self.parent.previous_roi_selection["height"] = width + _pen = QtGui.QPen() + _pen.setColor(self.parent.roi_settings["color"]) + _pen.setWidthF(self.parent.roi_settings["width"]) + self.parent.roi_id = pg.ROI([x0, y0], [width, width], pen=_pen, scaleSnap=True) + self.parent.ui.image_view.addItem(self.parent.roi_id) + self.parent.roi_id.sigRegionChanged.connect(self.parent.roi_moved) + + def display(self, image=None): + self.parent.live_image = image + _image = np.transpose(image) + _image = self._clean_image(_image) + self.parent.ui.image_view.setImage(_image) + + def _clean_image(self, image): + _result_inf = np.where(np.isinf(image)) + image[_result_inf] = np.nan + return image diff --git a/notebooks/__code/images_and_metadata_extrapolation_matcher.py b/notebooks/__code/images_and_metadata_extrapolation_matcher.py index e0e4a999..f761e7cc 100755 --- a/notebooks/__code/images_and_metadata_extrapolation_matcher.py +++ b/notebooks/__code/images_and_metadata_extrapolation_matcher.py @@ -1,35 +1,34 @@ import os -import pandas as pd + import numpy as np -import matplotlib.pyplot as plt +import pandas as pd try: from ipywidgets import widgets except: pass -from IPython.display import display -from IPython.display import HTML +from IPython.display import HTML, display +from plotly.offline import init_notebook_mode, iplot -from plotly.offline import plot, init_notebook_mode, iplot init_notebook_mode() # import plotly.plotly as py import plotly.graph_objs as go -from __code.utilities import display_html_message from __code.time_utility import TimestampFormatter +from __code.utilities import display_html_message -INDEX_SIMPLE_MERGE = '#filename' -INDEX_EXTRAPOLATION_MERGE = 'timestamp_user_format' +INDEX_SIMPLE_MERGE = "#filename" +INDEX_EXTRAPOLATION_MERGE = "timestamp_user_format" TIMESTAMP_FORMAT = "%Y-%m-%d %I:%M:%S" -class ImagesAndMetadataExtrapolationMatcher: +class ImagesAndMetadataExtrapolationMatcher: merged_dataframe = [] extrapolated_dataframe_only = {} extrapolated_timestamp_only = {} figure = None - def __init__(self, ascii_file_1='', ascii_file_2=''): + def __init__(self, ascii_file_1="", ascii_file_2=""): self.ascii_file_1 = ascii_file_1 self.ascii_file_2 = ascii_file_2 @@ -44,7 +43,7 @@ def load_ascii_files(self): self.ascii_file_1_dataframe = self.retrieve_dataframe(filename=self.ascii_file_1) self.ascii_file_2_dataframe = self.retrieve_dataframe(filename=self.ascii_file_2) - def retrieve_dataframe(self, filename=''): + def retrieve_dataframe(self, filename=""): _dataframe = pd.read_csv(filename) _dataframe = self.remove_white_space_in_column_names(_dataframe) return _dataframe @@ -59,15 +58,14 @@ def unify_timestamp_columns(self): self.ascii_file_2_dataframe = self.format_timestamp(self.ascii_file_2_dataframe) def format_timestamp(self, dataframe): - timestamp_user_format = list(dataframe['timestamp_user_format']) + timestamp_user_format = list(dataframe["timestamp_user_format"]) o_time = TimestampFormatter(timestamp=timestamp_user_format) new_timestamp_user_format = o_time.format() - dataframe['timestamp_user_format'] = new_timestamp_user_format + dataframe["timestamp_user_format"] = new_timestamp_user_format return dataframe def merge_data(self): - if (INDEX_SIMPLE_MERGE in self.ascii_file_1_dataframe) and \ - (INDEX_SIMPLE_MERGE in self.ascii_file_2_dataframe): + if (INDEX_SIMPLE_MERGE in self.ascii_file_1_dataframe) and (INDEX_SIMPLE_MERGE in self.ascii_file_2_dataframe): self.simple_merge() else: @@ -77,10 +75,9 @@ def simple_merge(self): self.set_index(self.ascii_file_1_dataframe) self.set_index(self.ascii_file_2_dataframe) - self.merged_dataframe = pd.merge(self.ascii_file_1_dataframe, - self.ascii_file_2_dataframe, - on=INDEX_SIMPLE_MERGE, - how='outer') + self.merged_dataframe = pd.merge( + self.ascii_file_1_dataframe, self.ascii_file_2_dataframe, on=INDEX_SIMPLE_MERGE, how="outer" + ) def set_index(self, dataframe, index=INDEX_SIMPLE_MERGE): return dataframe.set_index(index) @@ -89,12 +86,10 @@ def merge_with_extrapolation(self): self.set_index(self.ascii_file_1_dataframe, index=INDEX_EXTRAPOLATION_MERGE) self.set_index(self.ascii_file_2_dataframe, index=INDEX_EXTRAPOLATION_MERGE) - merged_dataframe = pd.merge(self.ascii_file_1_dataframe, - self.ascii_file_2_dataframe, - on=INDEX_EXTRAPOLATION_MERGE, - how='outer') - merged_dataframe.sort_values(by=INDEX_EXTRAPOLATION_MERGE, - inplace=True) + merged_dataframe = pd.merge( + self.ascii_file_1_dataframe, self.ascii_file_2_dataframe, on=INDEX_EXTRAPOLATION_MERGE, how="outer" + ) + merged_dataframe.sort_values(by=INDEX_EXTRAPOLATION_MERGE, inplace=True) self.merged_dataframe = merged_dataframe.reset_index(drop=True) self.select_metadata_to_extrapolate() @@ -102,13 +97,13 @@ def merge_with_extrapolation(self): def select_metadata_to_extrapolate(self): list_metadata = self.get_column_names(self.merged_dataframe) display(HTML('CTRL + Click to select multiple rows!')) - box = widgets.HBox([widgets.Label("Select Metadata to Extrapolate:", - layout=widgets.Layout(width='30%')), - widgets.SelectMultiple(options=list_metadata, - layout=widgets.Layout(width='70%', - height='70%')) - ], - layout=widgets.Layout(height='250px')) + box = widgets.HBox( + [ + widgets.Label("Select Metadata to Extrapolate:", layout=widgets.Layout(width="30%")), + widgets.SelectMultiple(options=list_metadata, layout=widgets.Layout(width="70%", height="70%")), + ], + layout=widgets.Layout(height="250px"), + ) self.metadata_to_extrapolate_widget = box.children[1] display(box) @@ -119,9 +114,9 @@ def extrapolate_selected_metadata(self): self.display_extrapolation() - def extrapolate_metadata(self, metadata_name=''): + def extrapolate_metadata(self, metadata_name=""): metadata_array = self.merged_dataframe[metadata_name] - timestamp_array = self.merged_dataframe['timestamp_user_format'] + timestamp_array = self.merged_dataframe["timestamp_user_format"] new_metadata_array = [] extrapolated_metadata_array = [] @@ -129,9 +124,9 @@ def extrapolate_metadata(self, metadata_name=''): for _index in np.arange(len(metadata_array)): _metadata_value = metadata_array[_index] if np.isnan(_metadata_value): - _new_value = Extrapolate.calculate_extrapolated_metadata(global_index=_index, - metadata_array=metadata_array, - timestamp_array=timestamp_array) + _new_value = Extrapolate.calculate_extrapolated_metadata( + global_index=_index, metadata_array=metadata_array, timestamp_array=timestamp_array + ) extrapolated_metadata_array.append(_new_value) extrapolated_timestamp_array.append(timestamp_array[_index]) else: @@ -151,46 +146,50 @@ def metadata_to_display_init(self): def metadata_to_display_changed(self, name_of_metadata_to_display): self.extract_known_and_unknown_axis_infos(metadata_name=name_of_metadata_to_display) - data_known = go.Scatter(x=self.timestamp_s_metadata_known, - y=self.metadata_column, - mode='markers', - name="Original metadata") - - data_extrapolated = go.Scatter(x=self.timestamp_s_metadata_unknown, - y=self.extrapolated_dataframe_only[name_of_metadata_to_display], - mode='markers', - name='Extrapolated') - - layout = go.Layout(width=800, - height=500, - showlegend=True, - title="Extrapolated metadata: {}".format(name_of_metadata_to_display), - xaxis=dict(title="Time (s)"), - yaxis=dict(title=name_of_metadata_to_display), - ) + data_known = go.Scatter( + x=self.timestamp_s_metadata_known, y=self.metadata_column, mode="markers", name="Original metadata" + ) + + data_extrapolated = go.Scatter( + x=self.timestamp_s_metadata_unknown, + y=self.extrapolated_dataframe_only[name_of_metadata_to_display], + mode="markers", + name="Extrapolated", + ) + + layout = go.Layout( + width=800, + height=500, + showlegend=True, + title=f"Extrapolated metadata: {name_of_metadata_to_display}", + xaxis=dict(title="Time (s)"), + yaxis=dict(title=name_of_metadata_to_display), + ) data = [data_known, data_extrapolated] figure = go.Figure(data=data, layout=layout) iplot(figure) - def extract_known_and_unknown_axis_infos(self, metadata_name=''): + def extract_known_and_unknown_axis_infos(self, metadata_name=""): # known metadata values - timestamp_metadata_known = self.ascii_file_2_dataframe['timestamp_user_format'] - self.timestamp_s_metadata_known = [TimestampFormatter.convert_to_second(_time, - timestamp_format=TIMESTAMP_FORMAT) - for _time in timestamp_metadata_known] + timestamp_metadata_known = self.ascii_file_2_dataframe["timestamp_user_format"] + self.timestamp_s_metadata_known = [ + TimestampFormatter.convert_to_second(_time, timestamp_format=TIMESTAMP_FORMAT) + for _time in timestamp_metadata_known + ] self.metadata_column = self.ascii_file_2_dataframe[metadata_name] # unknown metadata values # list_index = list(np.where(np.isnan(self.merged_dataframe[metadata_name]))) - #timestamp_metadata_unknown = np.array(self.merged_dataframe['timestamp_user_format'])[list_index] + # timestamp_metadata_unknown = np.array(self.merged_dataframe['timestamp_user_format'])[list_index] # self.timestamp_s_metadata_unknown = [TimestampFormatter.convert_to_second(_time, # timestamp_format=TIMESTAMP_FORMAT) # for _time in timestamp_metadata_unknown] timestamp_metadata_unknown = self.extrapolated_timestamp_only[metadata_name] - self.timestamp_s_metadata_unknown = [TimestampFormatter.convert_to_second(_time, - timestamp_format=TIMESTAMP_FORMAT) - for _time in timestamp_metadata_unknown] + self.timestamp_s_metadata_unknown = [ + TimestampFormatter.convert_to_second(_time, timestamp_format=TIMESTAMP_FORMAT) + for _time in timestamp_metadata_unknown + ] def display_extrapolation(self): self.metadata_to_display_init() @@ -198,13 +197,14 @@ def display_extrapolation(self): def get_column_names(self, dataframe): """removing INDEX_EXTRAPOLATION_MERGE from list""" list_columns = dataframe.columns - clean_list_columns = [_name for _name in list_columns if - not self._is_name_in_list(name=_name, - list_name=[INDEX_EXTRAPOLATION_MERGE, - INDEX_SIMPLE_MERGE])] + clean_list_columns = [ + _name + for _name in list_columns + if not self._is_name_in_list(name=_name, list_name=[INDEX_EXTRAPOLATION_MERGE, INDEX_SIMPLE_MERGE]) + ] return clean_list_columns - def _is_name_in_list(self, name='', list_name=[]): + def _is_name_in_list(self, name="", list_name=[]): if name in list_name: return True return False @@ -212,7 +212,7 @@ def _is_name_in_list(self, name='', list_name=[]): def get_output_file_name(self): base_part1 = self.get_base_name(self.ascii_file_1) base_part2 = self.get_base_name(self.ascii_file_2) - return "{}_combined_with_{}.txt".format(base_part1, base_part2) + return f"{base_part1}_combined_with_{base_part2}.txt" def get_base_name(self, part1): [base_name, _] = os.path.splitext(os.path.basename(part1)) @@ -220,10 +220,10 @@ def get_base_name(self, part1): def make_and_inform_of_full_output_file_name(self, folder_name): folder_name = os.path.abspath(folder_name) - display_html_message(title_message='Output folder name:', message=folder_name) + display_html_message(title_message="Output folder name:", message=folder_name) output_file_name = self.get_output_file_name() - display_html_message(title_message='Output file name:', message=output_file_name) + display_html_message(title_message="Output file name:", message=output_file_name) return os.path.join(folder_name, output_file_name) @@ -231,17 +231,17 @@ def export_ascii(self, folder_name): full_output_file_name = self.make_and_inform_of_full_output_file_name(folder_name) self.cleanup_merged_dataframe() self.merged_dataframe.to_csv(full_output_file_name) - display_html_message(title_message='File Created with Success!', message_type='ok') + display_html_message(title_message="File Created with Success!", message_type="ok") def cleanup_merged_dataframe(self): # keeping only the raws with filename information defined - self.merged_dataframe = self.merged_dataframe.dropna(subset=['#filename']) + self.merged_dataframe = self.merged_dataframe.dropna(subset=["#filename"]) -class Extrapolate: +class Extrapolate: @staticmethod - def get_first_metadata_and_index_value(index=-1, metadata_array=[], direction='left'): - if direction == 'left': + def get_first_metadata_and_index_value(index=-1, metadata_array=[], direction="left"): + if direction == "left": coeff = -1 else: coeff = +1 @@ -257,23 +257,25 @@ def get_first_metadata_and_index_value(index=-1, metadata_array=[], direction='l @staticmethod def calculate_extrapolated_metadata(global_index=-1, metadata_array=[], timestamp_array=[]): - [left_metadata_value, left_index] = Extrapolate.get_first_metadata_and_index_value(index=global_index, - metadata_array=metadata_array, - direction='left') - [right_metadata_value, right_index] = Extrapolate.get_first_metadata_and_index_value(index=global_index, - metadata_array=metadata_array, - direction='right') + [left_metadata_value, left_index] = Extrapolate.get_first_metadata_and_index_value( + index=global_index, metadata_array=metadata_array, direction="left" + ) + [right_metadata_value, right_index] = Extrapolate.get_first_metadata_and_index_value( + index=global_index, metadata_array=metadata_array, direction="right" + ) left_timestamp_s_format = TimestampFormatter.convert_to_second(timestamp_array[left_index]) right_timestamp_s_format = TimestampFormatter.convert_to_second(timestamp_array[right_index]) x_timestamp_s_format = TimestampFormatter.convert_to_second(timestamp_array[global_index]) - extra_value = Extrapolate.extrapolate_value(x=x_timestamp_s_format, - x_left=left_timestamp_s_format, - x_right=right_timestamp_s_format, - y_left=left_metadata_value, - y_right=right_metadata_value) + extra_value = Extrapolate.extrapolate_value( + x=x_timestamp_s_format, + x_left=left_timestamp_s_format, + x_right=right_timestamp_s_format, + y_left=left_metadata_value, + y_right=right_metadata_value, + ) return extra_value @staticmethod diff --git a/notebooks/__code/images_metadata_matcher.py b/notebooks/__code/images_metadata_matcher.py index e09d9ad0..48cc6c1a 100755 --- a/notebooks/__code/images_metadata_matcher.py +++ b/notebooks/__code/images_metadata_matcher.py @@ -1,10 +1,9 @@ try: - from ipywidgets import widgets + pass except: pass class ImagesMetadataMatcher: - - def __init__(self, working_dir='./'): - self.working_dir = working_dir \ No newline at end of file + def __init__(self, working_dir="./"): + self.working_dir = working_dir diff --git a/notebooks/__code/images_registration_pystackreg/main.py b/notebooks/__code/images_registration_pystackreg/main.py index 7b7d04f7..1fb7fda5 100755 --- a/notebooks/__code/images_registration_pystackreg/main.py +++ b/notebooks/__code/images_registration_pystackreg/main.py @@ -1,27 +1,24 @@ +import copy import os.path +import ipywidgets as widgets import matplotlib.pyplot as plt +import numpy as np +from IPython.display import HTML, display from ipywidgets import interactive -import ipywidgets as widgets -from IPython.display import display, HTML from matplotlib.widgets import RectangleSelector -import numpy as np -import matplotlib.patches as patches +from PIL import Image from pystackreg import StackReg from tqdm import tqdm -from PIL import Image -import copy -from __code.ipywe import fileselector -from __code._utilities.file import retrieve_list_of_most_dominant_extension_from_folder -from __code._utilities.file import make_or_reset_folder +from __code._utilities.file import make_or_reset_folder, retrieve_list_of_most_dominant_extension_from_folder from __code._utilities.images import read_img_stack -from __code._utilities.time import get_current_time_in_special_file_name_format from __code._utilities.json import save_json +from __code._utilities.time import get_current_time_in_special_file_name_format +from __code.ipywe import fileselector class AlgoList: - translation = StackReg.TRANSLATION rigid_body = StackReg.RIGID_BODY scaled_rotation = StackReg.SCALED_ROTATION @@ -30,35 +27,34 @@ class AlgoList: class ReferenceList: - - previous = 'previous' - first = 'first' - mean = 'mean' + previous = "previous" + first = "first" + mean = "mean" def props(cls): - return [i for i in cls.__dict__.keys() if i[:1] != '_'] + return [i for i in cls.__dict__.keys() if i[:1] != "_"] class ImagesRegistrationPystackreg: - working_dir = None selector_unregistered = None selector_registered = None - crop = {'before registration': None, - 'after registration': None} + crop = {"before registration": None, "after registration": None} def __init__(self, working_dir=None): self.working_dir = working_dir def select_folder(self): - self.folder_widget = fileselector.FileSelectorPanel(instruction='select folder of images to register', - start_dir=self.working_dir, - type='directory', - next=self.load_images, - multiple=False) + self.folder_widget = fileselector.FileSelectorPanel( + instruction="select folder of images to register", + start_dir=self.working_dir, + type="directory", + next=self.load_images, + multiple=False, + ) self.folder_widget.show() def load_images(self, folder_name=None): @@ -67,18 +63,14 @@ def load_images(self, folder_name=None): # retrieve list of files self.list_of_files, ext = retrieve_list_of_most_dominant_extension_from_folder(folder=folder_name) - self.stack = read_img_stack(list_files=self.list_of_files, - ext=ext) + self.stack = read_img_stack(list_files=self.list_of_files, ext=ext) display(HTML("Data have been loaded!")) print("Data have been loaded!") def display_unregistered(self): - def preview_unregistered(image_index, vmin=0.8, vmax=1.2): - fig, ax = plt.subplots(ncols=3, nrows=1, - num="Unregistered images", - figsize=(15, 5)) + fig, ax = plt.subplots(ncols=3, nrows=1, num="Unregistered images", figsize=(15, 5)) ax[0].imshow(self.stack[0], vmin=0, vmax=1) ax[0].set_title("First image") @@ -89,21 +81,15 @@ def preview_unregistered(image_index, vmin=0.8, vmax=1.2): ax[2].set_title(f"Image[{image_index}] / First image") cb = plt.colorbar(image, ax=ax[2]) - v = interactive(preview_unregistered, - image_index=widgets.IntSlider(min=0, - max=len(self.list_of_files) - 1, - value=1), - vmin=widgets.FloatSlider(min=0, - max=2, - value=0.8), - vmax=widgets.FloatSlider(min=0, - max=2, - value=1.2), - ) + v = interactive( + preview_unregistered, + image_index=widgets.IntSlider(min=0, max=len(self.list_of_files) - 1, value=1), + vmin=widgets.FloatSlider(min=0, max=2, value=0.8), + vmax=widgets.FloatSlider(min=0, max=2, value=1.2), + ) display(v) def crop_unregistered_images(self): - def _select_callback(eclick, erelease): """ Callback for line selection. @@ -120,20 +106,21 @@ def _select_callback(eclick, erelease): img = self.stack[0] ax.imshow(img) - ax.set_title(f"Click and drag to select a rectangular ROI.") + ax.set_title("Click and drag to select a rectangular ROI.") self.selector_unregistered = RectangleSelector( - ax, - _select_callback, - useblit=True, - button=[1, 3], # disable middle button - minspanx=5, minspany=5, - spancoords='pixels', - interactive=True) + ax, + _select_callback, + useblit=True, + button=[1, 3], # disable middle button + minspanx=5, + minspany=5, + spancoords="pixels", + interactive=True, + ) ax.set_title("Click and drag to select region to crop") def _get_crop_region(self, selector): - data_have_been_cropped = True x_corners = selector.corners[0] @@ -155,12 +142,8 @@ def _get_crop_region(self, selector): return x0, x1, y0, y1, data_have_been_cropped def perform_cropping(self): - x0, x1, y0, y1, data_have_been_cropped = self._get_crop_region(self.selector_unregistered) - self.crop['before registration'] = {'x0': x0, - 'x1': x1, - 'y0': y0, - 'y1': y1} + self.crop["before registration"] = {"x0": x0, "x1": x1, "y0": y0, "y1": y1} if data_have_been_cropped: _stack_cropped = [] @@ -172,9 +155,7 @@ def perform_cropping(self): else: self.stack_cropped = copy.deepcopy(self.stack) - fig, ax = plt.subplots(ncols=1, nrows=1, - num="Cropped images", - figsize=(5, 5)) + fig, ax = plt.subplots(ncols=1, nrows=1, num="Cropped images", figsize=(5, 5)) image = ax.imshow(self.stack_cropped[0], vmin=0, vmax=1) ax.set_title("First image") @@ -203,23 +184,20 @@ def run(self): registration_type = self._get_registration_type(registration_name) o_sr = StackReg(registration_type) - self.registered_stack = o_sr.register_transform_stack(self.stack_cropped, - reference=image_reference, - verbose=True) + self.registered_stack = o_sr.register_transform_stack( + self.stack_cropped, reference=image_reference, verbose=True + ) self.display_registered() def display_registered(self): - self.fig2 = None def preview_registered(image_index, vmin=0.8, vmax=1.2): if self.fig2: self.fig2.clear() - self.fig2, ax2 = plt.subplots(ncols=3, nrows=1, - num="Registered images", - figsize=(15, 5)) + self.fig2, ax2 = plt.subplots(ncols=3, nrows=1, num="Registered images", figsize=(15, 5)) ax2[0].imshow(self.registered_stack[0], vmin=0, vmax=1) ax2[0].set_title("First image") @@ -227,28 +205,22 @@ def preview_registered(image_index, vmin=0.8, vmax=1.2): ax2[1].imshow(self.registered_stack[image_index], vmin=0, vmax=1) ax2[1].set_title(f"Image #{image_index}") - image = ax2[2].imshow(np.divide(self.registered_stack[image_index], - self.registered_stack[0]), - vmin=vmin, vmax=vmax) + image = ax2[2].imshow( + np.divide(self.registered_stack[image_index], self.registered_stack[0]), vmin=vmin, vmax=vmax + ) ax2[2].set_title(f"Image[{image_index}] / First image") cb = plt.colorbar(image, ax=ax2[2]) # display(fig) - v2 = interactive(preview_registered, - image_index=widgets.IntSlider(min=0, - max=len(self.list_of_files) - 1, - value=1), - vmin=widgets.FloatSlider(min=0, - max=2, - value=0.8), - vmax=widgets.FloatSlider(min=0, - max=2, - value=1.2), - ) + v2 = interactive( + preview_registered, + image_index=widgets.IntSlider(min=0, max=len(self.list_of_files) - 1, value=1), + vmin=widgets.FloatSlider(min=0, max=2, value=0.8), + vmax=widgets.FloatSlider(min=0, max=2, value=1.2), + ) display(v2) def crop_registered_images(self): - def _select_callback(eclick, erelease): """ Callback for line selection. @@ -265,25 +237,23 @@ def _select_callback(eclick, erelease): img = self.registered_stack[0] ax.imshow(img) - ax.set_title(f"Click and drag to select a rectangular ROI.") + ax.set_title("Click and drag to select a rectangular ROI.") self.selector_registered = RectangleSelector( - ax, - _select_callback, - useblit=True, - button=[1, 3], # disable middle button - minspanx=5, minspany=5, - spancoords='pixels', - interactive=True) + ax, + _select_callback, + useblit=True, + button=[1, 3], # disable middle button + minspanx=5, + minspany=5, + spancoords="pixels", + interactive=True, + ) ax.set_title("Click and drag to select region to crop") def perform_cropping_for_export(self): - x0, x1, y0, y1, data_have_been_cropped = self._get_crop_region(self.selector_registered) - self.crop['after registration'] = {'x0': x0, - 'x1': x1, - 'y0': y0, - 'y1': y1} + self.crop["after registration"] = {"x0": x0, "x1": x1, "y0": y0, "y1": y1} if data_have_been_cropped: _final_stack_cropped = [] @@ -305,18 +275,19 @@ def perform_cropping_for_export(self): def export(self): display(HTML("Exporting the registered data:")) - self.output_label = widgets.Label(f" IN PROGRESS") + self.output_label = widgets.Label(" IN PROGRESS") display(self.output_label) - self.output_folder_widget = fileselector.FileSelectorPanel(instruction='select output folder', - start_dir=self.working_dir, - type='directory', - next=self.export_images, - multiple=False) + self.output_folder_widget = fileselector.FileSelectorPanel( + instruction="select output folder", + start_dir=self.working_dir, + type="directory", + next=self.export_images, + multiple=False, + ) self.output_folder_widget.show() def export_images(self, output_folder): - output_folder = os.path.abspath(output_folder) registered_crop_stack = self.final_stack_cropped list_file_names = self.list_of_files @@ -334,13 +305,13 @@ def export_images(self, output_folder): _image.save(full_output_file_name) # create json with parameters used - metadata = {'input folder': source_folder, - 'number of files': len(list_file_names), - 'crop': self.crop, - 'registration': {'type': self.algo_options.value, - 'image of reference': self.reference_options.value} - } - json_file_name = os.path.join(full_output_folder_name, 'config.json') + metadata = { + "input folder": source_folder, + "number of files": len(list_file_names), + "crop": self.crop, + "registration": {"type": self.algo_options.value, "image of reference": self.reference_options.value}, + } + json_file_name = os.path.join(full_output_folder_name, "config.json") save_json(json_file_name, metadata) self.output_label.value = f"DONE! (Registered files have been created in {full_output_folder_name})" diff --git a/notebooks/__code/integrated_roi_counts_vs_file_name_and_time_stamp.py b/notebooks/__code/integrated_roi_counts_vs_file_name_and_time_stamp.py index 242260bb..72adf801 100755 --- a/notebooks/__code/integrated_roi_counts_vs_file_name_and_time_stamp.py +++ b/notebooks/__code/integrated_roi_counts_vs_file_name_and_time_stamp.py @@ -1,37 +1,34 @@ -from IPython.display import HTML -from IPython.display import display +import collections +import copy +import os import numpy as np -import os -import copy -import collections import pyqtgraph as pg +from IPython.display import HTML, display from skimage import transform try: - from PyQt4.QtGui import QFileDialog from PyQt4 import QtCore, QtGui, QtWidgets - from PyQt4.QtGui import QMainWindow, QDialog + from PyQt4.QtGui import QDialog, QFileDialog, QMainWindow except ImportError: - from PyQt5.QtWidgets import QFileDialog - from PyQt5 import QtCore, QtGui, QtWidgets - from PyQt5.QtWidgets import QApplication, QMainWindow, QDialog + from PyQt5 import QtCore, QtGui + from PyQt5.QtWidgets import QFileDialog, QMainWindow try: _fromUtf8 = QtCore.QString.fromUtf8 except AttributeError: + def _fromUtf8(s): return s + from __code._utilities.color import Color -from __code.file_handler import retrieve_time_stamp, make_ascii_file -from __code.ui_integrated_roi_counts_vs_file_name_and_time_stamp import Ui_MainWindow as UiMainWindow from __code.decorators import wait_cursor -from __code.file_handler import make_ascii_file +from __code.file_handler import make_ascii_file, retrieve_time_stamp +from __code.ui_integrated_roi_counts_vs_file_name_and_time_stamp import Ui_MainWindow as UiMainWindow class IntegratedRoiUi(QMainWindow): - data_dict = {} data_dict_raw = {} timestamp_dict = {} @@ -45,10 +42,7 @@ class IntegratedRoiUi(QMainWindow): summary_table_width = [300, 150, 100] live_image = [] - grid_view = {'pos': None, - 'adj': None, - 'item': None, - 'color': (0, 0, 255, 255, 1)} + grid_view = {"pos": None, "adj": None, "item": None, "color": (0, 0, 255, 255, 1)} list_counts = list() @@ -60,24 +54,31 @@ class IntegratedRoiUi(QMainWindow): list_guide_pyqt_roi = list() list_profile_pyqt_roi = list() list_table_widget_checkbox = list() - default_guide_roi = {'x0': 0, 'y0': 0, 'width':200, 'height': 800, - 'isChecked': True, - 'color_activated':'r', - 'color_deactivated': 'b'} - previous_active_row = -1 # use to deactivated the guide and profile roi + default_guide_roi = { + "x0": 0, + "y0": 0, + "width": 200, + "height": 800, + "isChecked": True, + "color_activated": "r", + "color_deactivated": "b", + } + previous_active_row = -1 # use to deactivated the guide and profile roi # default_guide_table_values = {'isChecked': True, 'x0': 0, 'y0': 0, # 'width': 200, 'height': 200} - default_profile_width_values = np.arange(1,50,2) + default_profile_width_values = np.arange(1, 50, 2) - - #remove-me + # remove-me test_roi = None - def __init__(self, parent=None, working_dir='', data_dict=None): - - display(HTML('Check UI that popped up \ - (maybe hidden behind this browser!)')) + def __init__(self, parent=None, working_dir="", data_dict=None): + display( + HTML( + 'Check UI that popped up \ + (maybe hidden behind this browser!)' + ) + ) QMainWindow.__init__(self, parent=parent) self.ui = UiMainWindow() @@ -85,10 +86,10 @@ def __init__(self, parent=None, working_dir='', data_dict=None): self.setWindowTitle("Profile") self.working_dir = working_dir - self.data_dict = data_dict # Normalization data dictionary {'file_name': [], - #'data': [[...],[...]]], - #'metadata': [], - #'shape': {}} + self.data_dict = data_dict # Normalization data dictionary {'file_name': [], + #'data': [[...],[...]]], + #'metadata': [], + #'shape': {}} # untouched array of images (used to move and rotate images) self.data_dict_raw = copy.deepcopy(data_dict) @@ -139,20 +140,16 @@ def display_counts(self): color = Color() list_rgb_profile_color = color.get_list_rgb(nbr_color=nbr_row) - self.legend = self.ui.profile_view.addLegend() profile_list = list() for _row in np.arange(nbr_row): [x_axis, profile] = self.get_profile(profile_roi_row=_row) - _label = ' ROI #{}'.format(_row+1) + _label = f" ROI #{_row+1}" _color = list_rgb_profile_color[_row] - self.ui.profile_view.plot(x_axis, profile, - name=_label, - pen=_color) + self.ui.profile_view.plot(x_axis, profile, name=_label, pen=_color) - self.populate_summary_table_counts(column=_row+3, - list_counts=profile) + self.populate_summary_table_counts(column=_row + 3, list_counts=profile) # I need to save the profile here to quickly recover it when we export the data profile_list.insert(_row, profile) @@ -182,9 +179,9 @@ def update_all_plots(self): self.all_plots_legend = self.ui.all_plots_view.addLegend() for _color_index_file, _index_file in enumerate(list_index_file_selected): - _data = self.data_dict['data'][_index_file] + _data = self.data_dict["data"][_index_file] for _color_index_profile, _index_profile in enumerate(list_index_profile_selected): - legend = "File #{} - Profile #{}".format(_index_file, _index_profile) + legend = f"File #{_index_file} - Profile #{_index_profile}" _color = list_rgb_profile_color[_color_index_file + _color_index_profile * nbr_file_selected] [x_axis, y_axis] = self.get_profile(image=np.transpose(_data), profile_roi_row=_index_profile) self.ui.all_plots_view.plot(x_axis, y_axis, name=legend, pen=_color) @@ -194,7 +191,6 @@ def display_image(self, recalculate_image=False): o_image = DisplayImages(parent=self, recalculate_image=recalculate_image) def remove_row(self, row=-1): - if row == -1: return @@ -215,7 +211,6 @@ def remove_row(self, row=-1): if row == nbr_row: row -= 1 - if nbr_row > 0: nbr_col = self.ui.tableWidget.columnCount() new_selection = QtGui.QTableWidgetSelectionRange(row, 0, row, nbr_col - 1) @@ -223,7 +218,6 @@ def remove_row(self, row=-1): # new_selection_2 = QtGui.QTableWidgetSelectionRange(row, 0, row, 1) # self.ui.tableWidget_2.setRangeSelected(new_selection_2, True) - def update_guide_roi_using_guide_table(self, row=-1): [x0, y0, width, height] = self.get_item_row(row=row) roi_ui = self.list_guide_pyqt_roi[row] @@ -233,8 +227,7 @@ def update_guide_roi_using_guide_table(self, row=-1): roi_ui.blockSignals(False) def update_profile_rois(self, row=-1): - if row == -1: # update all of them - + if row == -1: # update all of them # # remove all profile rois # self.list_profile_pyqt_roi = list() # for _profile_roi in self.list_profile_pyqt_roi: @@ -259,16 +252,15 @@ def is_row_enabled(self, row=-1): def update_guide_table_using_guide_rois(self): for _row, _roi in enumerate(self.list_guide_pyqt_roi): if self.is_row_enabled(row=_row): - region = _roi.getArraySlice(self.live_image, - self.ui.image_view.imageItem) + region = _roi.getArraySlice(self.live_image, self.ui.image_view.imageItem) x0 = region[0][0].start x1 = region[0][0].stop y0 = region[0][1].start y1 = region[0][1].stop - width = np.abs(x1 - x0)-1 - height = np.abs(y1 - y0)-1 + width = np.abs(x1 - x0) - 1 + height = np.abs(y1 - y0) - 1 self.set_item_main_table(row=_row, col=1, value=str(x0)) self.set_item_main_table(row=_row, col=2, value=str(y0)) @@ -294,11 +286,11 @@ def insert_row(self, row=-1): self.ui.tableWidget.insertRow(row) self.ui.tableWidget.setRowHeight(row, self.guide_table_height) - self.set_item_main_table(row=row, col=0, value=default_values['isChecked']) - self.set_item_main_table(row=row, col=1, value=default_values['x0']) - self.set_item_main_table(row=row, col=2, value=default_values['y0']) - self.set_item_main_table(row=row, col=3, value=default_values['width']) - self.set_item_main_table(row=row, col=4, value=default_values['height']) + self.set_item_main_table(row=row, col=0, value=default_values["isChecked"]) + self.set_item_main_table(row=row, col=1, value=default_values["x0"]) + self.set_item_main_table(row=row, col=2, value=default_values["y0"]) + self.set_item_main_table(row=row, col=3, value=default_values["width"]) + self.set_item_main_table(row=row, col=4, value=default_values["height"]) # select new entry nbr_row = self.ui.tableWidget.rowCount() @@ -328,11 +320,11 @@ def rename_all_plots_profiles_table(self): """rename all the profile name""" nbr_row = self.ui.tableWidget.rowCount() for _row in np.arange(nbr_row): - self.ui.all_plots_profiles_table.item(_row, 0).setText("Profile # {}".format(_row+1)) + self.ui.all_plots_profiles_table.item(_row, 0).setText(f"Profile # {_row+1}") # setter def set_item_all_plots_profile_table(self, row=0): - item = QtGui.QTableWidgetItem("Profile # {}".format(row)) + item = QtGui.QTableWidgetItem(f"Profile # {row}") item.setFlags(QtCore.Qt.ItemIsEnabled | QtCore.Qt.ItemIsSelectable) self.ui.all_plots_profiles_table.setItem(row, 0, item) @@ -352,7 +344,7 @@ def set_item_all_plots_profile_table(self, row=0): # self.ui.tableWidget_2.setCellWidget(row, 0, cell_widget) # widget.blockSignals(False) - def set_item_main_table(self, row=0, col=0, value=''): + def set_item_main_table(self, row=0, col=0, value=""): if col == 0: spacerItem_left = QtGui.QSpacerItem(408, 20, QtGui.QSizePolicy.Expanding, QtGui.QSizePolicy.Expanding) widget = QtGui.QCheckBox() @@ -385,15 +377,15 @@ def get_profile_dimensions(self, row=-1): y_top = int(y0) y_bottom = int(y0) + int(height) - Profile = collections.namedtuple('Profile', ['x_left', 'x_right', 'y_top', 'y_bottom']) + Profile = collections.namedtuple("Profile", ["x_left", "x_right", "y_top", "y_bottom"]) result = Profile(x_left, x_right, y_top, y_bottom) return result def get_integration_algo(self): if self.ui.add_radioButton.isChecked(): - return 'add' + return "add" elif self.ui.mean_readioButton.isChecked(): - return 'mean' + return "mean" else: raise ValueError("Integration algorithm not supported yet") @@ -409,13 +401,12 @@ def get_profile(self, profile_roi_row=-1): y_top = profile_dimension.y_top y_bottom = profile_dimension.y_bottom - x_axis = np.arange(len(self.data_dict['file_name'])) - for _data in self.data_dict['data']: - - _roi_counts = _data[y_top:y_bottom, x_left:x_right] # because pyqtgrpah display transpose images - if inte_algo == 'add': + x_axis = np.arange(len(self.data_dict["file_name"])) + for _data in self.data_dict["data"]: + _roi_counts = _data[y_top:y_bottom, x_left:x_right] # because pyqtgrpah display transpose images + if inte_algo == "add": _counts = np.sum(_roi_counts) - elif inte_algo == 'mean': + elif inte_algo == "mean": _counts = np.mean(_roi_counts) else: raise ValueError("Not supported!") @@ -435,8 +426,8 @@ def get_item_row(self, row=0): height = int(str(self.ui.tableWidget.item(row, 4).text())) return (x0, y0, width, height) - def get_selected_row(self, source='tableWidget'): - if source == 'tableWidget': + def get_selected_row(self, source="tableWidget"): + if source == "tableWidget": ui = self.ui.tableWidget else: raise ValueError("Table does not exist!") @@ -452,7 +443,7 @@ def __create_list_from_selection(self, selection): for _selection in selection: top_row = _selection.topRow() bottom_row = _selection.bottomRow() - for _row in np.arange(top_row, bottom_row+1): + for _row in np.arange(top_row, bottom_row + 1): list_row_selected.append(_row) return list_row_selected @@ -464,11 +455,11 @@ def get_all_plots_files_index_selected(self): selection = self.ui.all_plots_file_name_table.selectedRanges() return self.__create_list_from_selection(selection) - def _highlights_guide_profile_pyqt_roi(self, row=-1, status='activated'): + def _highlights_guide_profile_pyqt_roi(self, row=-1, status="activated"): if row == -1: return _guide_ui = self.list_guide_pyqt_roi[row] - _guide_ui.setPen(self.default_guide_roi['color_' + status]) + _guide_ui.setPen(self.default_guide_roi["color_" + status]) def highlight_guide_profile_pyqt_rois(self, row=-1): """When user click a row in the table, the correspoinding ROI will be activated and ots @@ -479,8 +470,8 @@ def highlight_guide_profile_pyqt_rois(self, row=-1): return try: - self._highlights_guide_profile_pyqt_roi(row=previous_active_row, status='deactivated') - self._highlights_guide_profile_pyqt_roi(row=row, status='activated') + self._highlights_guide_profile_pyqt_roi(row=previous_active_row, status="deactivated") + self._highlights_guide_profile_pyqt_roi(row=row, status="activated") except: pass @@ -520,11 +511,11 @@ def slider_file_changed(self, index_selected): def add_summary_table_column(self, column): self.ui.summary_table.insertColumn(column) - item = QtGui.QTableWidgetItem(str(column-2)) + item = QtGui.QTableWidgetItem(str(column - 2)) self.ui.summary_table.setHorizontalHeaderItem(column, item) def remove_sumary_table_column(self, column): - self.ui.summary_table.removeColumn(column-1) + self.ui.summary_table.removeColumn(column - 1) ## Event Handler def algo_changed(self): @@ -614,9 +605,9 @@ def left_rotation_fast_clicked(self): def add_row_button_clicked(self): selected_row = self.get_selected_row() - self._highlights_guide_profile_pyqt_roi(row=selected_row, status='deactivated') + self._highlights_guide_profile_pyqt_roi(row=selected_row, status="deactivated") self.insert_row(row=selected_row) - self.add_summary_table_column(column=selected_row+4) # +4 to append to column + self.add_summary_table_column(column=selected_row + 4) # +4 to append to column self.add_guide_and_profile_pyqt_roi(row=selected_row) self.previous_active_row = selected_row self.display_counts() @@ -624,7 +615,7 @@ def add_row_button_clicked(self): def remove_row_button_clicked(self): selected_row = self.get_selected_row() self.remove_row(row=selected_row) - self.remove_sumary_table_column(column=selected_row+4) + self.remove_sumary_table_column(column=selected_row + 4) self.display_counts() def profile_along_axis_changed(self): @@ -632,48 +623,48 @@ def profile_along_axis_changed(self): self.display_counts() def export_button_clicked(self): - _export_folder = QFileDialog.getExistingDirectory(self, - directory=self.working_dir, - caption="Select Output Folder", - options=QFileDialog.ShowDirsOnly) + _export_folder = QFileDialog.getExistingDirectory( + self, directory=self.working_dir, caption="Select Output Folder", options=QFileDialog.ShowDirsOnly + ) if _export_folder: - o_export = ExportProfiles(parent=self, - export_folder=_export_folder) + o_export = ExportProfiles(parent=self, export_folder=_export_folder) o_export.run() QtGui.QGuiApplication.processEvents() def previous_image_button_clicked(self): - self.change_slider(offset = -1) + self.change_slider(offset=-1) # self.display_measurement_profiles() def next_image_button_clicked(self): - self.change_slider(offset = +1) + self.change_slider(offset=+1) # self.display_measurement_profiles() def help_button_clicked(self): import webbrowser - webbrowser.open("https://neutronimaging.pages.ornl.gov/en/tutorial/notebooks/integrated_roi_counts_vs_file_name_and_time_stamp/") + + webbrowser.open( + "https://neutronimaging.pages.ornl.gov/en/tutorial/notebooks/integrated_roi_counts_vs_file_name_and_time_stamp/" + ) def closeEvent(self, event=None): pass -class ExportProfiles(object): - - def __init__(self, parent=None, export_folder=''): +class ExportProfiles: + def __init__(self, parent=None, export_folder=""): self.parent = parent self.export_folder = export_folder def _create_output_file_name(self): base_name = os.path.basename(self.parent.working_dir) nbr_profile = self.parent.ui.tableWidget.rowCount() - output_file_name = os.path.join(self.export_folder, "{}_{}_integrated_counts_regions.txt".format(base_name, nbr_profile)) + output_file_name = os.path.join(self.export_folder, f"{base_name}_{nbr_profile}_integrated_counts_regions.txt") return output_file_name def _create_metadata(self): inte_algo = self.parent.get_integration_algo() metadata = ["#Counts vs file index"] - metadata.append("#Algorithm selected: {}".format(inte_algo)) + metadata.append(f"#Algorithm selected: {inte_algo}") _nbr_profiles = self.parent.ui.tableWidget.rowCount() metadata.append("#Profile dimension:") @@ -684,10 +675,8 @@ def _create_metadata(self): x_right = profile_dimension.x_right y_top = profile_dimension.y_top y_bottom = profile_dimension.y_bottom - metadata.append("#ROI #{}: [x0, y0, x1, y1] = [{}, {}, {}, {}]".format(_profile_index, - x_left, y_top, - x_right, y_bottom)) - axis.append("ROI #{}".format(_profile_index)) + metadata.append(f"#ROI #{_profile_index}: [x0, y0, x1, y1] = [{x_left}, {y_top}, {x_right}, {y_bottom}]") + axis.append(f"ROI #{_profile_index}") metadata.append("#") metadata.append(", ".join(axis)) @@ -696,15 +685,14 @@ def _create_metadata(self): def _create_data(self, profile_index=0): all_profiles = [] x_axis = [] - for _data in self.parent.data_dict['data']: - [x_axis, profile] = self.parent.get_profile(image=np.transpose(_data), - profile_roi_row=profile_index) + for _data in self.parent.data_dict["data"]: + [x_axis, profile] = self.parent.get_profile(image=np.transpose(_data), profile_roi_row=profile_index) all_profiles.append(list(profile)) data = [] for _index, _row in enumerate(np.transpose(all_profiles)): str_row = [str(_value) for _value in _row] - data.append("{}, ".format(x_axis[_index]) + ", ".join(str_row)) + data.append(f"{x_axis[_index]}, " + ", ".join(str_row)) return data @@ -722,7 +710,7 @@ def _format_data(self): _time_stamp = str(self.parent.ui.summary_table.item(_row, 1).text()) _formated_row_value = " ,".join(_row_value) - _formated_row = "{}, {}, {}, ".format(_file_index, _file_name, _time_stamp) + _formated_row_value + _formated_row = f"{_file_index}, {_file_name}, {_time_stamp}, " + _formated_row_value _data.append(_formated_row) return _data @@ -733,13 +721,10 @@ def run(self): # create output file name _output_file_name = self._create_output_file_name() - make_ascii_file(metadata=metadata, - data=data, - output_file_name=_output_file_name, - dim='1d') + make_ascii_file(metadata=metadata, data=data, output_file_name=_output_file_name, dim="1d") -class GuideAndProfileRoisHandler(object): +class GuideAndProfileRoisHandler: """This class creates the ROI box (pg.RectROI) in the image""" __profile = None @@ -760,9 +745,11 @@ def update(self): def _define_guide(self): """define the guide""" - guide_roi = pg.RectROI([self.parent.default_guide_roi['x0'], self.parent.default_guide_roi['y0']], - [self.parent.default_guide_roi['width'], self.parent.default_guide_roi['height']], - pen=self.parent.default_guide_roi['color_activated']) + guide_roi = pg.RectROI( + [self.parent.default_guide_roi["x0"], self.parent.default_guide_roi["y0"]], + [self.parent.default_guide_roi["width"], self.parent.default_guide_roi["height"]], + pen=self.parent.default_guide_roi["color_activated"], + ) guide_roi.addScaleHandle([1, 1], [0, 0]) guide_roi.addScaleHandle([0, 0], [1, 1]) guide_roi.sigRegionChanged.connect(self.parent.guide_changed) @@ -770,39 +757,38 @@ def _define_guide(self): self.parent.list_guide_pyqt_roi.insert(self.row, guide_roi) - -class Initializer(object): +class Initializer: """Main intialization of the UI such as the table, widgets, pyqtgraph...""" def __init__(self, parent=None): self.parent = parent def timestamp_dict(self): - list_files = self.parent.data_dict['file_name'] + list_files = self.parent.data_dict["file_name"] self.parent.timestamp_dict = retrieve_time_stamp(list_files) def table(self): # init the summary table - list_files_full_name = self.parent.data_dict['file_name'] + list_files_full_name = self.parent.data_dict["file_name"] list_files_short_name = [os.path.basename(_file) for _file in list_files_full_name] - list_time_stamp = self.parent.timestamp_dict['list_time_stamp'] - list_time_stamp_user_format = self.parent.timestamp_dict['list_time_stamp_user_format'] + list_time_stamp = self.parent.timestamp_dict["list_time_stamp"] + list_time_stamp_user_format = self.parent.timestamp_dict["list_time_stamp_user_format"] time_0 = list_time_stamp[0] for _row, _file in enumerate(list_files_short_name): self.parent.ui.summary_table.insertRow(_row) self.set_item_summary_table(row=_row, col=0, value=_file) self.set_item_summary_table(row=_row, col=1, value=list_time_stamp_user_format[_row]) _offset = list_time_stamp[_row] - time_0 - self.set_item_summary_table(row=_row, col=2, value="{:0.2f}".format(_offset)) + self.set_item_summary_table(row=_row, col=2, value=f"{_offset:0.2f}") - def parameters(self): + def parameters(self): # init the position of the measurement ROI - [height, width] = np.shape(self.parent.data_dict['data'][0]) - self.parent.default_guide_roi['width'] = int(width/10) - self.parent.default_guide_roi['height'] = int(height/5) - self.parent.default_guide_roi['x0'] = int(width/2) - self.parent.default_guide_roi['y0'] = int(height/2) + [height, width] = np.shape(self.parent.data_dict["data"][0]) + self.parent.default_guide_roi["width"] = int(width / 10) + self.parent.default_guide_roi["height"] = int(height / 5) + self.parent.default_guide_roi["x0"] = int(width / 2) + self.parent.default_guide_roi["y0"] = int(height / 2) self.parent.default_profile_width_values = [str(_value) for _value in self.parent.default_profile_width_values] def widgets(self): @@ -810,17 +796,19 @@ def widgets(self): self.parent.ui.splitter.setSizes([500, 50]) # file slider - self.parent.ui.file_slider.setMaximum(len(self.parent.data_dict['data']) - 1) + self.parent.ui.file_slider.setMaximum(len(self.parent.data_dict["data"]) - 1) # update size of summary table nbr_columns = self.parent.ui.summary_table.columnCount() for _col in range(nbr_columns): self.parent.ui.summary_table.setColumnWidth(_col, self.parent.summary_table_width[_col]) - self.parent.display_ui = [self.parent.ui.display_size_label, - self.parent.ui.grid_size_slider, - self.parent.ui.display_transparency_label, - self.parent.ui.transparency_slider] + self.parent.display_ui = [ + self.parent.ui.display_size_label, + self.parent.ui.grid_size_slider, + self.parent.ui.display_transparency_label, + self.parent.ui.transparency_slider, + ] def pyqtgraph(self): # image @@ -839,19 +827,18 @@ def pyqtgraph(self): vertical_layout2.addWidget(self.parent.ui.profile_view) self.parent.ui.profile_widget.setLayout(vertical_layout2) - def set_item_all_plot_file_name_table(self, row=0, value=''): + def set_item_all_plot_file_name_table(self, row=0, value=""): item = QtGui.QTableWidgetItem(str(value)) self.parent.ui.all_plots_file_name_table.setItem(row, 0, item) item.setFlags(QtCore.Qt.ItemIsEnabled | QtCore.Qt.ItemIsSelectable) - def set_item_summary_table(self, row=0, col=0, value=''): + def set_item_summary_table(self, row=0, col=0, value=""): item = QtGui.QTableWidgetItem(str(value)) self.parent.ui.summary_table.setItem(row, col, item) item.setFlags(QtCore.Qt.ItemIsEnabled | QtCore.Qt.ItemIsSelectable) -class DisplayImages(object): - +class DisplayImages: def __init__(self, parent=None, recalculate_image=False): self.parent = parent self.recalculate_image = recalculate_image @@ -864,9 +851,11 @@ def get_image_selected(self, recalculate_image=False): if recalculate_image: angle = self.parent.rotation_angle # rotate all images - self.parent.data_dict['data'] = [transform.rotate(_image, angle) for _image in self.parent.data_dict_raw['data']] + self.parent.data_dict["data"] = [ + transform.rotate(_image, angle) for _image in self.parent.data_dict_raw["data"] + ] - _image = self.parent.data_dict['data'][slider_index] + _image = self.parent.data_dict["data"][slider_index] return _image def display_images(self): @@ -902,7 +891,7 @@ def calculate_matrix_grid(self, grid_size=1, height=1, width=1): # vertical lines x = 0 index = 0 - while (x <= width): + while x <= width: one_edge = [x, 0] other_edge = [x, height] pos.append(one_edge) @@ -913,7 +902,7 @@ def calculate_matrix_grid(self, grid_size=1, height=1, width=1): # vertical lines y = 0 - while (y <= height): + while y <= height: one_edge = [0, y] other_edge = [width, y] pos.append(one_edge) @@ -922,46 +911,42 @@ def calculate_matrix_grid(self, grid_size=1, height=1, width=1): y += grid_size index += 2 - pos_adj_dict['pos'] = np.array(pos) - pos_adj_dict['adj'] = np.array(adj) + pos_adj_dict["pos"] = np.array(pos) + pos_adj_dict["adj"] = np.array(adj) return pos_adj_dict def display_grid(self): # remove previous grid if any - if self.parent.grid_view['item']: - self.parent.ui.image_view.removeItem(self.parent.grid_view['item']) + if self.parent.grid_view["item"]: + self.parent.ui.image_view.removeItem(self.parent.grid_view["item"]) # if we want a grid if self.parent.ui.grid_display_checkBox.isChecked(): - grid_size = self.parent.ui.grid_size_slider.value() [width, height] = np.shape(self.parent.live_image) - pos_adj_dict = self.calculate_matrix_grid(grid_size=grid_size, - height=height, - width=width) - pos = pos_adj_dict['pos'] - adj = pos_adj_dict['adj'] + pos_adj_dict = self.calculate_matrix_grid(grid_size=grid_size, height=height, width=width) + pos = pos_adj_dict["pos"] + adj = pos_adj_dict["adj"] - line_color = self.parent.grid_view['color'] - _transparency_value = 255 - (float(str(self.parent.ui.transparency_slider.value()))/100) * 255 + line_color = self.parent.grid_view["color"] + _transparency_value = 255 - (float(str(self.parent.ui.transparency_slider.value())) / 100) * 255 _list_line_color = list(line_color) _list_line_color[3] = _transparency_value line_color = tuple(_list_line_color) - lines = np.array([line_color for n in np.arange(len(pos))], - dtype=[('red', np.ubyte), ('green', np.ubyte), - ('blue', np.ubyte), ('alpha', np.ubyte), - ('width', float)]) + lines = np.array( + [line_color for n in np.arange(len(pos))], + dtype=[ + ("red", np.ubyte), + ("green", np.ubyte), + ("blue", np.ubyte), + ("alpha", np.ubyte), + ("width", float), + ], + ) grid = pg.GraphItem() self.parent.ui.image_view.addItem(grid) - grid.setData(pos=pos, - adj=adj, - pen=lines, - symbol=None, - pxMode=False) - self.parent.grid_view['item'] = grid - - - + grid.setData(pos=pos, adj=adj, pen=lines, symbol=None, pxMode=False) + self.parent.grid_view["item"] = grid diff --git a/notebooks/__code/interpolation_utilities.py b/notebooks/__code/interpolation_utilities.py index 3c97199b..9910e526 100755 --- a/notebooks/__code/interpolation_utilities.py +++ b/notebooks/__code/interpolation_utilities.py @@ -2,28 +2,27 @@ class Interpolation: + def __init__(self, x_axis=None, y_axis=None): + if (x_axis is None) or (y_axis is None): + raise ValueError("Please provide both x and y-axis") - def __init__(self, x_axis=None, y_axis=None): - if (x_axis is None) or (y_axis is None): - raise ValueError("Please provide both x and y-axis") + if len(x_axis) != len(y_axis): + raise ValueError("Axis must have the same size") - if (len(x_axis) != len(y_axis)): - raise ValueError("Axis must have the same size") + self.x_axis = x_axis + self.y_axis = y_axis - self.x_axis = x_axis - self.y_axis = y_axis + def get_new_y_array(self, new_x_axis=None): + if new_x_axis is None: + raise ValueError("Please provide a new x_axis!") - def get_new_y_array(self, new_x_axis=None): - if new_x_axis is None: - raise ValueError("Please provide a new x_axis!") + x_axis = self.x_axis + y_axis = self.y_axis - x_axis = self.x_axis - y_axis = self.y_axis + if (new_x_axis[0] < x_axis[0]) or (new_x_axis[-1] > x_axis[-1]): + raise ValueError("New x axis mus tbe inside old x_axis") - if (new_x_axis[0] < x_axis[0]) or (new_x_axis[-1] > x_axis[-1]): - raise ValueError("New x axis mus tbe inside old x_axis") + tck = interpolate.splrep(x_axis, y_axis, s=0) + new_y_axis = interpolate.splev(new_x_axis, tck, der=0) - tck = interpolate.splrep(x_axis, y_axis, s=0) - new_y_axis = interpolate.splev(new_x_axis, tck, der=0) - - return new_y_axis + return new_y_axis diff --git a/notebooks/__code/ipywe/_utils.py b/notebooks/__code/ipywe/_utils.py index f4263722..3a991172 100755 --- a/notebooks/__code/ipywe/_utils.py +++ b/notebooks/__code/ipywe/_utils.py @@ -1,57 +1,72 @@ -# coding: utf-8 - import ipywidgets as ipyw -from IPython.display import display, HTML, clear_output +from IPython.display import HTML, display + def js_alert(m): js = "" % m display(HTML(js)) return -layout_reserved_keys = ['keys', 'comm'] + +layout_reserved_keys = ["keys", "comm"] + + def cloneLayout(l): c = ipyw.Layout() for k in l.trait_names(): - if k.startswith('_'): continue - if k in layout_reserved_keys: continue + if k.startswith("_"): + continue + if k in layout_reserved_keys: + continue v = getattr(l, k) setattr(c, k, v) return c + def updateLayout(this, other): 'update "this" layout with all non-trivial values of "other" layout' for n in other.trait_names(): - if n.startswith('_'): continue - if n in layout_reserved_keys: continue + if n.startswith("_"): + continue + if n in layout_reserved_keys: + continue v = getattr(other, n) - if v is None: continue + if v is None: + continue setattr(this, n, v) return this + def close(w): "recursively close a widget" recursive_op(w, lambda x: x.close()) return + def disable(w): "recursively disable a widget" + def _(w): w.disabled = True + recursive_op(w, _) return + def enable(w): "recursively enable a widget" + def _(w): w.disabled = False + recursive_op(w, _) return + def recursive_op(w, single_op): - if hasattr(w, 'children'): + if hasattr(w, "children"): for c in w.children: recursive_op(c, single_op) continue single_op(w) return - diff --git a/notebooks/__code/ipywe/_version.py b/notebooks/__code/ipywe/_version.py index 8b68ee48..c2e98622 100755 --- a/notebooks/__code/ipywe/_version.py +++ b/notebooks/__code/ipywe/_version.py @@ -1,8 +1,12 @@ -version_info = (0, 1, 3, 'alpha', 2) +version_info = (0, 1, 3, "alpha", 2) -_specifier_ = {'alpha': 'a', 'beta': 'b', 'candidate': 'rc', 'final': ''} +_specifier_ = {"alpha": "a", "beta": "b", "candidate": "rc", "final": ""} -__version__ = '%s.%s.%s%s'%(version_info[0], version_info[1], version_info[2], - '' if version_info[3]=='final' else _specifier_[version_info[3]]+str(version_info[4])) +__version__ = "%s.%s.%s%s" % ( + version_info[0], + version_info[1], + version_info[2], + "" if version_info[3] == "final" else _specifier_[version_info[3]] + str(version_info[4]), +) -__frontend_version__ = '^0.1.3-alpha.2' +__frontend_version__ = "^0.1.3-alpha.2" diff --git a/notebooks/__code/ipywe/base.py b/notebooks/__code/ipywe/base.py index 23adf877..12d16ce1 100755 --- a/notebooks/__code/ipywe/base.py +++ b/notebooks/__code/ipywe/base.py @@ -3,9 +3,9 @@ from ._version import __frontend_version__ -class DOMWidget(ipywidgets.DOMWidget): - _view_module = Unicode('ipywe').tag(sync=True) - _model_module = Unicode('ipywe').tag(sync=True) +class DOMWidget(ipywidgets.DOMWidget): + _view_module = Unicode("ipywe").tag(sync=True) + _model_module = Unicode("ipywe").tag(sync=True) _view_module_version = Unicode(__frontend_version__).tag(sync=True) _model_module_version = Unicode(__frontend_version__).tag(sync=True) diff --git a/notebooks/__code/ipywe/example.py b/notebooks/__code/ipywe/example.py index 39e3b73f..b87da7a4 100755 --- a/notebooks/__code/ipywe/example.py +++ b/notebooks/__code/ipywe/example.py @@ -5,33 +5,35 @@ devel = 0 -@widgets.register('hello.Hello') +@widgets.register("hello.Hello") class HelloWorld(widgets.DOMWidget): """""" - _view_name = Unicode('HelloView').tag(sync=True) - _model_name = Unicode('HelloModel').tag(sync=True) + + _view_name = Unicode("HelloView").tag(sync=True) + _model_name = Unicode("HelloModel").tag(sync=True) if devel: - _view_module = Unicode('example').tag(sync=True) - _model_module = Unicode('example').tag(sync=True) + _view_module = Unicode("example").tag(sync=True) + _model_module = Unicode("example").tag(sync=True) else: - _view_module = Unicode('ipywe').tag(sync=True) - _model_module = Unicode('ipywe').tag(sync=True) - _view_module_version = Unicode('^0.1.0').tag(sync=True) - _model_module_version = Unicode('^0.1.0').tag(sync=True) - value = Unicode('Hello World!').tag(sync=True) + _view_module = Unicode("ipywe").tag(sync=True) + _model_module = Unicode("ipywe").tag(sync=True) + _view_module_version = Unicode("^0.1.0").tag(sync=True) + _model_module_version = Unicode("^0.1.0").tag(sync=True) + value = Unicode("Hello World!").tag(sync=True) if devel: - from IPython.display import display, HTML + from IPython.display import HTML, display def get_js(): import os - js = open(os.path.join(os.path.dirname(__file__), - "..", "js", "src", "example.js")).read() + + js = open(os.path.join(os.path.dirname(__file__), "..", "js", "src", "example.js")).read() return js.decode("UTF-8") def run_js(): js = get_js() - display(HTML("")) + display(HTML("")) return + run_js() diff --git a/notebooks/__code/ipywe/fileselector.py b/notebooks/__code/ipywe/fileselector.py index d71cae0d..a72db518 100755 --- a/notebooks/__code/ipywe/fileselector.py +++ b/notebooks/__code/ipywe/fileselector.py @@ -1,10 +1,9 @@ -# coding: utf-8 - -import os, glob +import glob +import os import time + import ipywidgets as ipyw -from qtpy.QtGui import QFont -from IPython.display import display, HTML +from IPython.display import HTML, display # This try-except should not be necessary anymore. # The testing is now done in ../tests. @@ -22,33 +21,33 @@ class FileSelectorPanel: # statement should change the width of the file selector. "width=" # doesn't appear to work in earlier versions. select_layout = ipyw.Layout(width="99%", height="260px") - select_multiple_layout = ipyw.Layout( - width="99%", height="360px") # , display="flex", flex_flow="column") - button_layout = ipyw.Layout(margin="5px 40px", border='1px solid gray') - toolbar_button_layout = ipyw.Layout(margin="5px 10px", width="100px", border='1px solid gray') - toolbar_box_layout = ipyw.Layout(border='1px solid lightgrey', padding='3px', margin='5px 50px 5px 5px', - width='100%') + select_multiple_layout = ipyw.Layout(width="99%", height="360px") # , display="flex", flex_flow="column") + button_layout = ipyw.Layout(margin="5px 40px", border="1px solid gray") + toolbar_button_layout = ipyw.Layout(margin="5px 10px", width="100px", border="1px solid gray") + toolbar_box_layout = ipyw.Layout( + border="1px solid lightgrey", padding="3px", margin="5px 50px 5px 5px", width="100%" + ) label_layout = ipyw.Layout(width="100%") layout = ipyw.Layout() filter_widget = None - searching_string = '' + searching_string = "" def __init__( - self, - instruction, - start_dir=".", - type='file', - next=None, - multiple=False, - newdir_toolbar_button=False, - custom_layout=None, - filters=dict(), - default_filter=None, - stay_alive=False, - sort_by_time=False, - sort_in_reverse=False, - sort_by_alphabetical=True, + self, + instruction, + start_dir=".", + type="file", + next=None, + multiple=False, + newdir_toolbar_button=False, + custom_layout=None, + filters=dict(), + default_filter=None, + stay_alive=False, + sort_by_time=False, + sort_in_reverse=False, + sort_by_alphabetical=True, ): """ Create FileSelectorPanel instance @@ -80,14 +79,14 @@ def __init__( the files are sorted in their decreasing order """ - if type not in ['file', 'directory']: + if type not in ["file", "directory"]: raise ValueError("type must be either file or directory") if custom_layout: for k, v in custom_layout.items(): - name = '%s_layout' % k + name = "%s_layout" % k assert name in dir(self), "Invalid layout item: %s" % name orig = getattr(self, name) - new = cloneLayout(orig); + new = cloneLayout(orig) updateLayout(new, v) setattr(self, name, new) continue @@ -137,18 +136,18 @@ def createBody(self, curdir): left_vbox = ipyw.VBox(left_widgets, layout=ipyw.Layout(width="80%")) # right # change directory button - self.changedir = ipyw.Button(description='Change directory', layout=self.button_layout) + self.changedir = ipyw.Button(description="Change directory", layout=self.button_layout) self.changedir.on_click(self.handle_changedir) # select button ok_layout = cloneLayout(self.button_layout) - ok_layout.margin = 'auto 40px 5px'; + ok_layout.margin = "auto 40px 5px" ok_layout.border = "1px solid blue" - self.ok = ipyw.Button(description='Select', layout=ok_layout) + self.ok = ipyw.Button(description="Select", layout=ok_layout) self.ok.on_click(self.validate) right_vbox = ipyw.VBox(children=[self.changedir, self.ok]) select_panel = ipyw.HBox( - children=[left_vbox, right_vbox], - layout=ipyw.Layout(border='1px solid lightgrey', margin='5px', padding='10px') + children=[left_vbox, right_vbox], + layout=ipyw.Layout(border="1px solid lightgrey", margin="5px", padding="10px"), ) body = ipyw.VBox(children=[toolbar, select_panel], layout=self.layout) self.footer.value = "" @@ -159,7 +158,8 @@ def createToolbar(self): # "jump to" curdir = self.curdir self.jumpto_input = jumpto_input = ipyw.Text( - value=curdir, placeholder="", description="Location: ", layout=ipyw.Layout(width='100%')) + value=curdir, placeholder="", description="Location: ", layout=ipyw.Layout(width="100%") + ) jumpto_button = ipyw.Button(description="Jump", layout=self.toolbar_button_layout) jumpto_button.on_click(self.handle_jumpto) jumpto = ipyw.HBox(children=[jumpto_input, jumpto_button], layout=self.toolbar_box_layout) @@ -167,8 +167,8 @@ def createToolbar(self): if self.newdir_toolbar_button: # "new dir" self.newdir_input = newdir_input = ipyw.Text( - value="", placeholder="new dir name", description="New subdir: ", - layout=ipyw.Layout(width='180px')) + value="", placeholder="new dir name", description="New subdir: ", layout=ipyw.Layout(width="180px") + ) newdir_button = ipyw.Button(description="Create", layout=self.toolbar_button_layout) newdir_button.on_click(self.handle_newdir) newdir = ipyw.HBox(children=[newdir_input, newdir_button], layout=self.toolbar_box_layout) @@ -190,7 +190,7 @@ def getEntries(self): # if self.sort_by_alphabetical: # entries_files.sort(reverse=self.sort_in_reverse) - + entries_paths = [os.path.join(curdir, e) for e in entries_files] if self.sort_by_time: entries_paths.sort(key=os.path.getctime, reverse=self.sort_in_reverse) @@ -205,27 +205,24 @@ def createSelectWidget(self): if not self.sort_by_time: entries.sort(reverse=self.sort_in_reverse) - self._entries = entries = [' .', ' ..', ] + entries + self._entries = entries = [ + " .", + " ..", + ] + entries if self.multiple: value = [] self.select = ipyw.SelectMultiple( - value=value, - options=entries, - description="Select", - layout=self.select_multiple_layout) + value=value, options=entries, description="Select", layout=self.select_multiple_layout + ) else: value = entries[0] - self.select = ipyw.Select( - value=value, - options=entries, - description="Select", - layout=self.select_layout) - """When ipywidgets 7.0 is released, the old way that the select or select multiple + self.select = ipyw.Select(value=value, options=entries, description="Select", layout=self.select_layout) + """When ipywidgets 7.0 is released, the old way that the select or select multiple widget was set up (see below) should work so long as self.select_layout is changed to include the display="flex" and flex_flow="column" statements. In ipywidgets 6.0, this doesn't work because the styles of the select and select multiple widgets are not the same. - + self.select = widget( value=value, options=entries, description="Select", @@ -234,12 +231,13 @@ def createSelectWidget(self): def createSearchWidget(self): label = ipyw.Label("Search:") - self.search_text = ipyw.Text(self.searching_string, layout=ipyw.Layout(width='50%')) + self.search_text = ipyw.Text(self.searching_string, layout=ipyw.Layout(width="50%")) self.search_text.on_submit(self.handle_search_changed) elements = [label, self.search_text] - if self.filter_widget: elements.append(self.filter_widget) - self.search = ipyw.HBox(elements, layout=ipyw.Layout(justify_content='flex-end')) + if self.filter_widget: + elements.append(self.filter_widget) + self.search = ipyw.HBox(elements, layout=ipyw.Layout(justify_content="flex-end")) def handle_search_changed(self, sender): self.searching_string = sender.value.strip() @@ -247,19 +245,19 @@ def handle_search_changed(self, sender): self.changeDir(self.curdir) def createFilterWidget(self): - if 'All' not in self.filters: self.filters.update(All=['*.*']) - self.cur_filter = self.cur_filter or self.filters[self.default_filter or 'All'] + if "All" not in self.filters: + self.filters.update(All=["*.*"]) + self.cur_filter = self.cur_filter or self.filters[self.default_filter or "All"] self.filter_widget = ipyw.Dropdown( - options=self.filters, - value=self.cur_filter, - layout=ipyw.Layout(align_self='flex-end', width='15%')) - self.filter_widget.observe(self.handle_filter_changed, names='value') + options=self.filters, value=self.cur_filter, layout=ipyw.Layout(align_self="flex-end", width="15%") + ) + self.filter_widget.observe(self.handle_filter_changed, names="value") return def getFilteredEntries(self): curdir = self.curdir cur_filter = self.filter_widget.value - searching_tool = "*{}*".format(self.searching_string) + searching_tool = f"*{self.searching_string}*" if type(cur_filter) is list: cur_filter = cur_filter[0] @@ -269,13 +267,13 @@ def getFilteredEntries(self): list_files = filter(lambda o: not os.path.isdir(o), list_files) list_files = list(map(os.path.basename, list_files)) list_dirs = [o for o in os.listdir(curdir) if os.path.isdir(os.path.join(curdir, o))] - self.footer.value += '

' + ' '.join(list_dirs) + '

' + self.footer.value += "

" + " ".join(list_dirs) + "

" entries = list_dirs + list_files entries.sort() return entries def handle_filter_changed(self, value): - self.cur_filter = value['new'] + self.cur_filter = value["new"] self.changeDir(self.curdir) def disable(self): @@ -294,7 +292,8 @@ def changeDir(self, path): def handle_jumpto(self, s): v = self.jumpto_input.value - if not os.path.isdir(v): return + if not os.path.isdir(v): + return self.changeDir(v) return @@ -334,13 +333,13 @@ def validate(self, s): path = os.path.join(self.curdir, v) paths = [path] # check type - if self.type == 'file': + if self.type == "file": for p in paths: if not os.path.isfile(p): js_alert("Please select file(s)") return else: - assert self.type == 'directory' + assert self.type == "directory" for p in paths: if not os.path.isdir(p): js_alert("Please select directory(s)") @@ -352,7 +351,8 @@ def validate(self, s): self.selected = paths[0] # clean up unless user choose not to - if not self.stay_alive: self.remove() + if not self.stay_alive: + self.remove() # next step if self.next: @@ -368,16 +368,18 @@ def remove(self): # XXX css for big select area XXX -display(HTML(""" +display( + HTML(""" -""")) +""") +) -from ._utils import close, disable, enable, cloneLayout, updateLayout +from ._utils import cloneLayout, close, disable, enable, updateLayout def create_file_times(paths): @@ -402,8 +404,8 @@ def create_nametime_labels(entries, ftimes): return [] max_len = max(len(e) for e in entries) n_spaces = 5 - fmt_str = ' %-' + str(max_len + n_spaces) + "s|" + ' ' * n_spaces + '%s' - label_list = [fmt_str % (e, f) for e, f in zip(entries, ftimes)] + fmt_str = " %-" + str(max_len + n_spaces) + "s|" + " " * n_spaces + "%s" + label_list = [fmt_str % (e, f) for e, f in zip(entries, ftimes, strict=False)] return label_list @@ -415,10 +417,10 @@ def del_ftime(file_label): file_label_new = file_label.strip() if file_label_new != "." and file_label_new != "..": file_label_new = file_label_new.split("|")[0].rstrip() - return (file_label_new) + return file_label_new -'''def test1(): +"""def test1(): panel = FileSelectorPanel("instruction", start_dir=".") print('\n'.join(panel._entries)) panel.handle_changedir(".") @@ -445,4 +447,4 @@ def main(): return -if __name__ == '__main__': main()''' +if __name__ == '__main__': main()""" diff --git a/notebooks/__code/ipywe/imagedisplay.py b/notebooks/__code/ipywe/imagedisplay.py index 7196181c..61201fad 100755 --- a/notebooks/__code/ipywe/imagedisplay.py +++ b/notebooks/__code/ipywe/imagedisplay.py @@ -1,16 +1,16 @@ -#Allows for Python 3-style division in Python 2.7 -from __future__ import division +# Allows for Python 3-style division in Python 2.7 + +import sys import ipywidgets as ipyw -from . import base -from traitlets import Unicode, Float, Integer, observe import numpy as np -import sys +from traitlets import Float, Integer, Unicode, observe +from . import base -@ipyw.register('ipywe.ImageDisplay') -class ImageDisplay(base.DOMWidget): +@ipyw.register("ipywe.ImageDisplay") +class ImageDisplay(base.DOMWidget): _view_name = Unicode("ImgDisplayView").tag(sync=True) _model_name = Unicode("ImgDisplayModel").tag(sync=True) @@ -34,7 +34,6 @@ class ImageDisplay(base.DOMWidget): height = Integer().tag(sync=True) width = Integer().tag(sync=True) - def __init__(self, image, width, height, init_roi=None): self.width = width self.height = height @@ -48,11 +47,11 @@ def __init__(self, image, width, height, init_roi=None): self.xbuff = 0 self.ybuff = 0 if init_roi != None: - assert (type(init_roi) is list or type(init_roi) is tuple) - self._offXtop = init_roi[0]*1./self._ncols_currimg * self.width - self._offXbottom = init_roi[1]*1./self._ncols_currimg * self.width - self._offYtop = init_roi[2]*1./self._nrows_currimg * self.height - self._offYbottom = init_roi[3]*1./self._nrows_currimg * self.height + assert type(init_roi) is list or type(init_roi) is tuple + self._offXtop = init_roi[0] * 1.0 / self._ncols_currimg * self.width + self._offXbottom = init_roi[1] * 1.0 / self._ncols_currimg * self.width + self._offYtop = init_roi[2] * 1.0 / self._nrows_currimg * self.height + self._offYbottom = init_roi[3] * 1.0 / self._nrows_currimg * self.height self._b64value = self.createImg() super(ImageDisplay, self).__init__() return @@ -60,28 +59,35 @@ def __init__(self, image, width, height, init_roi=None): def createImg(self): if self._img_min >= self._img_max: self._img_max = self._img_min + abs(self._img_max - self._img_min) * 1e-5 - img = ((self.curr_img_data-self._img_min)/(self._img_max-self._img_min)*(2**8-1)).astype('uint8') + img = ((self.curr_img_data - self._img_min) / (self._img_max - self._img_min) * (2**8 - 1)).astype("uint8") size = np.max(img.shape) view_size = np.max((self.width, self.height)) if size > view_size: - downsample_ratio = 1.*view_size/size + downsample_ratio = 1.0 * view_size / size import scipy.misc + img = scipy.misc.imresize(img, downsample_ratio) else: - upsample_ratio = 1.*view_size/size + upsample_ratio = 1.0 * view_size / size import scipy.misc + img = scipy.misc.imresize(img, upsample_ratio) - """Chooses the correct string IO method based on + """Chooses the correct string IO method based on which version of Python is being used. Once Python 2.7 support ends, this can be replaced with just the content of the else statement.""" if sys.version_info < (3, 0): from cStringIO import StringIO + f = StringIO() else: from io import BytesIO + f = BytesIO() - import PIL.Image, base64 + import base64 + + import PIL.Image + PIL.Image.fromarray(img).save(f, self._format) imgb64v = base64.b64encode(f.getvalue()) return imgb64v @@ -89,20 +95,22 @@ def createImg(self): @observe("_zoom_click") def zoomImg(self, change): self.arr = self.curr_img.data.copy() - left = int(self._offXtop/self.width * self._ncols_currimg) - right = int(self._offXbottom/self.width*self._ncols_currimg) - top = int(self._offYtop/self.height*self._nrows_currimg) - bottom = int(self._offYbottom/self.height*self._nrows_currimg) + left = int(self._offXtop / self.width * self._ncols_currimg) + right = int(self._offXbottom / self.width * self._ncols_currimg) + top = int(self._offYtop / self.height * self._nrows_currimg) + bottom = int(self._offYbottom / self.height * self._nrows_currimg) select_width = right - left select_height = bottom - top - self._xcoord_absolute += (left - self.xbuff) - self._ycoord_absolute += (top - self.ybuff) + self._xcoord_absolute += left - self.xbuff + self._ycoord_absolute += top - self.ybuff if select_width == 0: select_width = 1 if select_height == 0: select_height = 1 - self.arr = self.arr[self._ycoord_absolute:(self._ycoord_absolute + select_height), - self._xcoord_absolute:(self._xcoord_absolute + select_width)] + self.arr = self.arr[ + self._ycoord_absolute : (self._ycoord_absolute + select_height), + self._xcoord_absolute : (self._xcoord_absolute + select_width), + ] self._nrows, self._ncols = self.arr.shape self.curr_img_data = self.arr.copy() if self._ncols > self._nrows: diff --git a/notebooks/__code/ipywe/imageslider.py b/notebooks/__code/ipywe/imageslider.py index 2fe1dc91..3b56dead 100755 --- a/notebooks/__code/ipywe/imageslider.py +++ b/notebooks/__code/ipywe/imageslider.py @@ -1,14 +1,15 @@ -#Allows Python 3-style division in Python 2.7 -from __future__ import division +# Allows Python 3-style division in Python 2.7 + +import sys import ipywidgets as ipyw -from . import base -from traitlets import Unicode, Integer, Float, Tuple, observe import numpy as np -import sys +from traitlets import Float, Integer, Tuple, Unicode, observe + +from . import base -@ipyw.register('ipywe.ImageSlider') +@ipyw.register("ipywe.ImageSlider") class ImageSlider(base.DOMWidget): """The backend python class for the custom ImageSlider widget. @@ -41,9 +42,8 @@ class ImageSlider(base.DOMWidget): _offsetY = Integer().tag(sync=True) _pix_val = Float().tag(sync=True) - # These variables were added to support zoom functionality - _ROI = Tuple((0,0,0,0), sync=True) # Xtop, Ytop, Xbottom, Ybottom + _ROI = Tuple((0, 0, 0, 0), sync=True) # Xtop, Ytop, Xbottom, Ybottom _extrarows = Integer(0).tag(sync=True) _extracols = Integer(0).tag(sync=True) _nrows_currimg = Integer().tag(sync=True) @@ -89,10 +89,10 @@ def __init__(self, image_series, width, height): self._N_images = len(self.image_series) self.current_img = self.image_series[self._img_index] # image data array. need it to obtain the value at mouse p - self.arr = self.current_img.data.copy().astype("float") - # image data in the tag. this may contains buffers at zoom, or may be altered due to + self.arr = self.current_img.data.copy().astype("float") + # image data in the tag. this may contains buffers at zoom, or may be altered due to # intensity range limit - self.curr_img_data = self.arr.copy() + self.curr_img_data = self.arr.copy() self._nrows, self._ncols = self.arr.shape self._nrows_currimg, self._ncols_currimg = self.arr.shape self._ycoord_max_roi, self._xcoord_max_roi = self.arr.shape @@ -124,7 +124,7 @@ def get_series_minmax(self, sample_size=10): self._series_max = self._img_max = float(np.max(data)) return - #This function is called when the values of _offsetX and/or _offsetY change + # This function is called when the values of _offsetX and/or _offsetY change @observe("_offsetX", "_offsetY") def get_val(self, change): """Tries to calculate the value of the image at the mouse position @@ -134,16 +134,16 @@ def get_val(self, change): and stores the result in the member variable _err.""" try: - col = int(self._offsetX/self.width * self._ncols_currimg) - row = int(self._offsetY/self.height * self._nrows_currimg) + col = int(self._offsetX / self.width * self._ncols_currimg) + row = int(self._offsetY / self.height * self._nrows_currimg) if self._extrarows != 0: row = row - self.ybuff if self._extracols != 0: col = col - self.xbuff if col >= self.arr.shape[1]: - col = self.arr.shape[1]-1 + col = self.arr.shape[1] - 1 if row >= self.arr.shape[0]: - row = self.arr.shape[0]-1 + row = self.arr.shape[0] - 1 self._pix_val = float(self.arr[row, col]) self._err = "" except Exception: @@ -163,13 +163,14 @@ def getimg_bytes(self): # apply intensity range self.curr_img_data[self.curr_img_data < self._img_min] = self._img_min self.curr_img_data[self.curr_img_data > self._img_max] = self._img_max - img = ((self.curr_img_data-self._img_min)/(self._img_max-self._img_min)*(2**8-1)).astype('uint8') + img = ((self.curr_img_data - self._img_min) / (self._img_max - self._img_min) * (2**8 - 1)).astype("uint8") size = np.max(img.shape) view_size = np.max((self.width, self.height)) # resample if necessary - resample_ratio = view_size/size - if resample_ratio != 1.: + resample_ratio = view_size / size + if resample_ratio != 1.0: import scipy.misc + img = scipy.misc.imresize(img, resample_ratio) """Allows the correct string IO module to be used based on the version of Python. @@ -177,11 +178,16 @@ def getimg_bytes(self): can be replaced by just the contents of the else statement.""" if sys.version_info < (3, 0): from cStringIO import StringIO + f = StringIO() else: from io import BytesIO + f = BytesIO() - import PIL.Image, base64 + import base64 + + import PIL.Image + PIL.Image.fromarray(img).save(f, self._format) imgb64v = base64.b64encode(f.getvalue()) return imgb64v @@ -198,9 +204,9 @@ def handle_error(self): ex_mess = str(ex_name) for arg in ex_args: ex_mess = ex_mess + str(arg) - return(ex_mess) + return ex_mess - #This function is called when _img_index + # This function is called when _img_index @observe("_img_index") def update_image_index(self, change): """ @@ -239,22 +245,22 @@ def update_image_div_data(self, change): self._b64value = self.getimg_bytes() return - #This function is called when _ROI changes. + # This function is called when _ROI changes. @observe("_ROI") def zoom_image(self, change): """Sets all values necessary for zooming into a Region of Interest and then calls the update_image_div_data function.""" Xtop, Ytop, Xbottom, Ybottom = self._ROI - if Xtop < 0: # invalid ROI means reset + if Xtop < 0: # invalid ROI means reset self._zoom = False return self.reset_image() self._zoom = True - self.left = int(Xtop/self.width * self._ncols_currimg) - self.right = int(Xbottom/self.width*self._ncols_currimg) - self.top = int(Ytop/self.height*self._nrows_currimg) - self.bottom = int(Ybottom/self.height*self._nrows_currimg) - self._xcoord_absolute += (self.left - self.xbuff) - self._ycoord_absolute += (self.top - self.ybuff) + self.left = int(Xtop / self.width * self._ncols_currimg) + self.right = int(Xbottom / self.width * self._ncols_currimg) + self.top = int(Ytop / self.height * self._nrows_currimg) + self.bottom = int(Ybottom / self.height * self._nrows_currimg) + self._xcoord_absolute += self.left - self.xbuff + self._ycoord_absolute += self.top - self.ybuff self.update_image_div_data(change) return @@ -290,10 +296,14 @@ def update_image_div_data_with_zoom(self): select_width = self.right - self.left select_height = self.bottom - self.top - if select_width == 0: select_width = 1 - if select_height == 0: select_height = 1 - self.arr = self.arr[self._ycoord_absolute:(self._ycoord_absolute + select_height), - self._xcoord_absolute:(self._xcoord_absolute + select_width)] + if select_width == 0: + select_width = 1 + if select_height == 0: + select_height = 1 + self.arr = self.arr[ + self._ycoord_absolute : (self._ycoord_absolute + select_height), + self._xcoord_absolute : (self._xcoord_absolute + select_width), + ] self._nrows, self._ncols = self.arr.shape self.curr_img_data = self.arr.copy() # calculate paddings @@ -335,4 +345,3 @@ def update_image_div_data_with_zoom(self): self._ycoord_max_roi = self._ycoord_absolute + self._nrows_currimg - self._extrarows self._b64value = self.getimg_bytes() return - diff --git a/notebooks/__code/ipywe/imgdatagraph.py b/notebooks/__code/ipywe/imgdatagraph.py index 8ef02701..e07f54dc 100755 --- a/notebooks/__code/ipywe/imgdatagraph.py +++ b/notebooks/__code/ipywe/imgdatagraph.py @@ -1,15 +1,16 @@ -#Allows Python 3-style division in Python 2.7 -from __future__ import division +# Allows Python 3-style division in Python 2.7 -import numpy as np -import ipywidgets as ipyw -from . import base import sys -from traitlets import Unicode, Integer, Float, observe + +import ipywidgets as ipyw import matplotlib.pyplot as plt +import numpy as np +from traitlets import Float, Integer, Unicode, observe + +from . import base -@ipyw.register('ipywe.ImageDataGraph') +@ipyw.register("ipywe.ImageDataGraph") class ImageDataGraph(base.DOMWidget): """The backend python class for the custom ImageDataGraph widget. @@ -70,33 +71,40 @@ def __init__(self, image, width, height, uformat="png"): def getimg_bytes(self): """Encodes the image's data into Base64.""" - img = ((self.img_data-self._img_min)/(self._img_max-self._img_min)*(2**8-1)).astype("uint8") + img = ((self.img_data - self._img_min) / (self._img_max - self._img_min) * (2**8 - 1)).astype("uint8") size = np.max(img.shape) view_size = np.max((self.width, self.height)) if size > view_size: - downsample_ratio = view_size/size + downsample_ratio = view_size / size import scipy.misc + img = scipy.misc.imresize(img, downsample_ratio) else: - upsample_ratio = view_size/size + upsample_ratio = view_size / size import scipy.misc + img = scipy.misc.imresize(img, upsample_ratio) if sys.version_info < (3, 0): from cStringIO import StringIO + f = StringIO() else: from io import BytesIO + f = BytesIO() - import PIL.Image, base64 + import base64 + + import PIL.Image + PIL.Image.fromarray(img).save(f, self._format) imgb64v = base64.b64encode(f.getvalue()) return imgb64v - #This function is called when the value of _graph_click changes + # This function is called when the value of _graph_click changes @observe("_graph_click") def graph_data(self, change): """Determines whether the graph calculations should - include width or not and calls the appropriate function.""" + include width or not and calls the appropriate function.""" if self._linepix_width == 1: self._graphb64 = self.nowidth_graph() @@ -106,13 +114,13 @@ def graph_data(self, change): def nowidth_graph(self): """Collects the data for a line with no width. - Then, creates a matplotlib graph of the data, - and encodes the graph into Base64 for the JavaScript code to display.""" + Then, creates a matplotlib graph of the data, + and encodes the graph into Base64 for the JavaScript code to display.""" - p1x_abs = self._offsetX1/self.width * self._ncols - p1y_abs = self._offsetY1/self.height * self._nrows - p2x_abs = self._offsetX2/self.width * self._ncols - p2y_abs = self._offsetY2/self.height * self._nrows + p1x_abs = self._offsetX1 / self.width * self._ncols + p1y_abs = self._offsetY1 / self.height * self._nrows + p2x_abs = self._offsetX2 / self.width * self._ncols + p2y_abs = self._offsetY2 / self.height * self._nrows if p1x_abs > p2x_abs: tempx = p2x_abs tempy = p2y_abs @@ -164,7 +172,7 @@ def nowidth_graph(self): ycoords.append(curr_y) vals.append(self.img_data[curr_x, curr_y]) for x, y in np.nditer([xcoords, ycoords]): - dist = np.sqrt(((x - xcoords[0])**2 + (y - ycoords[0])**2)) + dist = np.sqrt((x - xcoords[0]) ** 2 + (y - ycoords[0]) ** 2) dists.append(dist) plt.plot(dists, vals) plt.xlim(np.min(dists) * 0.75, np.max(dists)) @@ -174,29 +182,32 @@ def nowidth_graph(self): graph = plt.gcf() if sys.version_info < (3, 0): from StringIO import StringIO + graphdata = StringIO() else: from io import BytesIO + graphdata = BytesIO() graph.savefig(graphdata, format=self._format) graphdata.seek(0) import base64 + gb64v = base64.b64encode(graphdata.read()) plt.clf() return gb64v def width_graph(self): """Creates the graph for a line with width. - First, it calculates the endpoints of the drawn line. - Then, depending on whether the line is horizontal, - vertical, or diagonal, it calls the corresponding function - to get the data needed for graphing. Finally, it creates - the matplotlib graph and encodes it into Base64.""" - - p1x_abs = self._offsetX1/self.width * self._ncols - p1y_abs = self._offsetY1/self.height * self._nrows - p2x_abs = self._offsetX2/self.width * self._ncols - p2y_abs = self._offsetY2/self.height * self._nrows + First, it calculates the endpoints of the drawn line. + Then, depending on whether the line is horizontal, + vertical, or diagonal, it calls the corresponding function + to get the data needed for graphing. Finally, it creates + the matplotlib graph and encodes it into Base64.""" + + p1x_abs = self._offsetX1 / self.width * self._ncols + p1y_abs = self._offsetY1 / self.height * self._nrows + p2x_abs = self._offsetX2 / self.width * self._ncols + p2y_abs = self._offsetY2 / self.height * self._nrows dists = [] vals = [] if p1y_abs == p2y_abs and p1x_abs != p2x_abs: @@ -211,13 +222,16 @@ def width_graph(self): graph = plt.gcf() if sys.version_info < (3, 0): from StringIO import StringIO + graphdata = StringIO() else: from io import BytesIO + graphdata = BytesIO() graph.savefig(graphdata, format=self._format) graphdata.seek(0) import base64 + gb64v = base64.b64encode(graphdata.read()) plt.clf() return gb64v @@ -241,14 +255,14 @@ def get_data_horizontal(self, x_init, y_init, x_fin): tempx = x1 x1 = x0 x0 = tempx - wid = self._linepix_width//self.height * self._nrows - top = y_init - wid//2 + wid = self._linepix_width // self.height * self._nrows + top = y_init - wid // 2 if int(top) < 0: top = 0 - bottom = y_init + wid//2 + 1 + bottom = y_init + wid // 2 + 1 if int(bottom) > self._nrows - 1: bottom = self._nrows - 1 - max_dist = np.sqrt((x1 - x0)**2) + max_dist = np.sqrt((x1 - x0) ** 2) bin_step = max_dist / self._num_bins bins = [0] curr_bin_max = 0 @@ -257,12 +271,12 @@ def get_data_horizontal(self, x_init, y_init, x_fin): bins.append(curr_bin_max) intensities = np.zeros(len(bins)) num_binvals = np.zeros(len(bins)) - Y, X = np.mgrid[top:bottom, x0:(x1+1)] + Y, X = np.mgrid[top:bottom, x0 : (x1 + 1)] for x, y in np.nditer([X, Y]): for b in bins: ind = bins.index(b) if ind < len(bins) - 1: - if x >= b + x0 and x < bins[ind+1] + x0: + if x >= b + x0 and x < bins[ind + 1] + x0: intensities[ind] = intensities[ind] + self.img_data[int(y), int(x)] num_binvals[ind] = num_binvals[ind] + 1 break @@ -270,7 +284,7 @@ def get_data_horizontal(self, x_init, y_init, x_fin): if num == 0: vals.append(0) else: - vals.append(val/num) + vals.append(val / num) return bins, vals, bin_step def get_data_vertical(self, x_init, y_init, y_fin): @@ -292,14 +306,14 @@ def get_data_vertical(self, x_init, y_init, y_fin): tempy = y1 y1 = y0 y0 = tempy - wid = self._linepix_width//self.width * self._ncols - left = x_init - wid//2 + wid = self._linepix_width // self.width * self._ncols + left = x_init - wid // 2 if int(left) < 0: left = 0 - right = x_init + wid//2 + 1 + right = x_init + wid // 2 + 1 if int(right) > self._ncols - 1: right = self._ncols - 1 - max_dist = np.sqrt((y1 - y0)**2) + max_dist = np.sqrt((y1 - y0) ** 2) bin_step = max_dist / self._num_bins bins = [0] curr_bin_max = 0 @@ -308,12 +322,12 @@ def get_data_vertical(self, x_init, y_init, y_fin): bins.append(curr_bin_max) intensities = np.zeros(len(bins)) num_binvals = np.zeros(len(bins)) - Y, X = np.mgrid[y0:(y1+1), left:right] + Y, X = np.mgrid[y0 : (y1 + 1), left:right] for x, y in np.nditer([X, Y]): for b in bins: ind = bins.index(b) if ind < len(bins) - 1: - if y >= b + y0 and y < bins[ind+1] + y0: + if y >= b + y0 and y < bins[ind + 1] + y0: intensities[ind] = intensities[ind] + self.img_data[int(y), int(x)] num_binvals[ind] = num_binvals[ind] + 1 break @@ -321,7 +335,7 @@ def get_data_vertical(self, x_init, y_init, y_fin): if num == 0: vals.append(0) else: - vals.append(val/num) + vals.append(val / num) return bins, vals, bin_step def get_data_diagonal(self, x_init, y_init, x_fin, y_fin): @@ -353,9 +367,9 @@ def get_data_diagonal(self, x_init, y_init, x_fin, y_fin): y0 = tempy slope = (y1 - y0) / (x1 - x0) angle = np.arctan(slope) - wid_x = abs((self._linepix_width * np.cos(angle))/self.width * self._ncols) - wid_y = abs((self._linepix_width * np.sin(angle))/self.height * self._nrows) - wid = np.sqrt((wid_x)**2 + (wid_y)**2) + wid_x = abs((self._linepix_width * np.cos(angle)) / self.width * self._ncols) + wid_y = abs((self._linepix_width * np.sin(angle)) / self.height * self._nrows) + wid = np.sqrt((wid_x) ** 2 + (wid_y) ** 2) left = x0 - (wid_x // 2) right = x1 + (wid_x // 2) + 1 if slope > 0: @@ -375,13 +389,13 @@ def get_data_diagonal(self, x_init, y_init, x_fin, y_fin): Y, X = np.mgrid[bottom:top, left:right] h_x = X - x0 h_y = Y - y0 - norm_x = (y0 - y1) / np.sqrt((y0 - y1)**2 + (x1 - x0)**2) - norm_y = (x1 - x0) / np.sqrt((y0 - y1)**2 + (x1 - x0)**2) - e_x = (x1 - x0) / np.sqrt((x1 - x0)**2 + (y1 - y0)**2) - e_y = (y1 - y0) / np.sqrt((x1 - x0)**2 + (y1 - y0)**2) - dist = h_x*norm_x + h_y*norm_y - pos = h_x*e_x + h_y*e_y - max_dist = np.sqrt((x1 - x0)**2 + (y1 - y0)**2) + norm_x = (y0 - y1) / np.sqrt((y0 - y1) ** 2 + (x1 - x0) ** 2) + norm_y = (x1 - x0) / np.sqrt((y0 - y1) ** 2 + (x1 - x0) ** 2) + e_x = (x1 - x0) / np.sqrt((x1 - x0) ** 2 + (y1 - y0) ** 2) + e_y = (y1 - y0) / np.sqrt((x1 - x0) ** 2 + (y1 - y0) ** 2) + dist = h_x * norm_x + h_y * norm_y + pos = h_x * e_x + h_y * e_y + max_dist = np.sqrt((x1 - x0) ** 2 + (y1 - y0) ** 2) bin_step = max_dist / self._num_bins curr_bin_max = 0 bin_borders = [0] @@ -407,6 +421,6 @@ def get_data_diagonal(self, x_init, y_init, x_fin, y_fin): if n == 0: vals.append(0) else: - vals.append(i/n) + vals.append(i / n) bins = bin_borders return bins, vals, bin_step diff --git a/notebooks/__code/ipywe/myfileselector.py b/notebooks/__code/ipywe/myfileselector.py index a1c8828f..8b2afab0 100755 --- a/notebooks/__code/ipywe/myfileselector.py +++ b/notebooks/__code/ipywe/myfileselector.py @@ -1,13 +1,13 @@ -import ipywidgets as ipyw import glob import os import time -from IPython.display import HTML -from IPython.display import display -from __code.ipywe import fileselector -from NeuNorm.normalization import Normalization +import ipywidgets as ipyw +from IPython.display import HTML, display from ipywidgets import widgets +from NeuNorm.normalization import Normalization + +from __code.ipywe import fileselector class MyFileSelectorPanel: @@ -17,12 +17,12 @@ class MyFileSelectorPanel: # statement should change the width of the file selector. "width=" # doesn't appear to work in earlier versions. select_layout = ipyw.Layout(width="99%", height="260px") - select_multiple_layout = ipyw.Layout( - width="99%", height="260px", display="flex", flex_flow="column") - button_layout = ipyw.Layout(margin="5px 40px", border='1px solid gray') - toolbar_button_layout = ipyw.Layout(margin="5px 10px", width="100px", border='1px solid gray') - toolbar_box_layout = ipyw.Layout(border='1px solid lightgrey', padding='3px', margin='5px 50px 5px 5px', - width='100%') + select_multiple_layout = ipyw.Layout(width="99%", height="260px", display="flex", flex_flow="column") + button_layout = ipyw.Layout(margin="5px 40px", border="1px solid gray") + toolbar_button_layout = ipyw.Layout(margin="5px 10px", width="100px", border="1px solid gray") + toolbar_box_layout = ipyw.Layout( + border="1px solid lightgrey", padding="3px", margin="5px 50px 5px 5px", width="100%" + ) label_layout = ipyw.Layout(width="250px") layout = ipyw.Layout() @@ -32,18 +32,18 @@ def js_alert(self, m): return def __init__( - self, - instruction, - start_dir=".", - type='file', - next=None, - multiple=False, - newdir_toolbar_button=False, - custom_layout=None, - filters=dict(), - default_filter=None, - sort_increasing=True, - stay_alive=False, + self, + instruction, + start_dir=".", + type="file", + next=None, + multiple=False, + newdir_toolbar_button=False, + custom_layout=None, + filters=dict(), + default_filter=None, + sort_increasing=True, + stay_alive=False, ): """ Create FileSelectorPanel instance @@ -67,11 +67,11 @@ def __init__( stay_alive: bool (False by default) if True, the fileselector won't disapear after selection of a file/directory """ - if type not in ['file', 'directory']: + if type not in ["file", "directory"]: raise ValueError("type must be either file or directory") if custom_layout: for k, v in custom_layout.items(): - name = '%s_layout' % k + name = "%s_layout" % k assert name in dir(self), "Invalid layout item: %s" % name setattr(self, name, v) continue @@ -99,7 +99,8 @@ def createBody(self, curdir): # toolbar on the top # "jump to" self.jumpto_input = jumpto_input = ipyw.Text( - value=curdir, placeholder="", description="Location: ", layout=ipyw.Layout(width='100%')) + value=curdir, placeholder="", description="Location: ", layout=ipyw.Layout(width="100%") + ) jumpto_button = ipyw.Button(description="Jump", layout=self.toolbar_button_layout) jumpto_button.on_click(self.handle_jumpto) jumpto = ipyw.HBox(children=[jumpto_input, jumpto_button], layout=self.toolbar_box_layout) @@ -107,8 +108,8 @@ def createBody(self, curdir): if self.newdir_toolbar_button: # "new dir" self.newdir_input = newdir_input = ipyw.Text( - value="", placeholder="new dir name", description="New subdir: ", - layout=ipyw.Layout(width='180px')) + value="", placeholder="new dir name", description="New subdir: ", layout=ipyw.Layout(width="180px") + ) newdir_button = ipyw.Button(description="Create", layout=self.toolbar_button_layout) newdir_button.on_click(self.handle_newdir) newdir = ipyw.HBox(children=[newdir_input, newdir_button], layout=self.toolbar_box_layout) @@ -129,20 +130,19 @@ def createBody(self, curdir): entries_paths = [os.path.join(curdir, e) for e in entries_files] entries_ftime = create_file_times(entries_paths) entries = create_nametime_labels(entries_files, entries_ftime) - self._entries = entries = [' .', ' ..', ] + entries + self._entries = entries = [ + " .", + " ..", + ] + entries if self.multiple: value = [] self.select = ipyw.SelectMultiple( - value=value, options=entries, - description="Select", - layout=self.select_multiple_layout) + value=value, options=entries, description="Select", layout=self.select_multiple_layout + ) else: value = entries[0] - self.select = ipyw.Select( - value=value, options=entries, - description="Select", - layout=self.select_layout) - """When ipywidgets 7.0 is released, the old way that the select or select multiple + self.select = ipyw.Select(value=value, options=entries, description="Select", layout=self.select_layout) + """When ipywidgets 7.0 is released, the old way that the select or select multiple widget was set up (see below) should work so long as self.select_layout is changed to include the display="flex" and flex_flow="column" statements. In ipywidgets 6.0, this doesn't work because the styles of the select and select multiple widgets are @@ -163,37 +163,37 @@ def createBody(self, curdir): # ------------------------------------------------------------ # left left_widgets = [] - if self.filters: left_widgets.append(self.filter_widget) + if self.filters: + left_widgets.append(self.filter_widget) left_widgets.append(self.select) left_vbox = ipyw.VBox(left_widgets, layout=ipyw.Layout(width="80%")) # right # change directory button - self.changedir = ipyw.Button(description='Change directory', layout=self.button_layout) + self.changedir = ipyw.Button(description="Change directory", layout=self.button_layout) self.changedir.on_click(self.handle_changedir) # select button - import copy ok_layout = cloneLayout(self.button_layout) - ok_layout.margin = 'auto 40px 5px'; + ok_layout.margin = "auto 40px 5px" ok_layout.border = "1px solid blue" - self.ok = ipyw.Button(description='Select', layout=ok_layout) + self.ok = ipyw.Button(description="Select", layout=ok_layout) self.ok.on_click(self.validate) right_vbox = ipyw.VBox(children=[self.changedir, self.ok]) select_panel = ipyw.HBox( children=[left_vbox, right_vbox], - layout=ipyw.Layout(border='1px solid lightgrey', margin='5px', padding='10px') + layout=ipyw.Layout(border="1px solid lightgrey", margin="5px", padding="10px"), ) body = ipyw.VBox(children=[toolbar, select_panel], layout=self.layout) self.footer.value = "" return body def createFilterWidget(self): - if 'All' not in self.filters: self.filters.update(All=['*.*']) - self.cur_filter = self.cur_filter or self.filters[self.default_filter or 'All'] + if "All" not in self.filters: + self.filters.update(All=["*.*"]) + self.cur_filter = self.cur_filter or self.filters[self.default_filter or "All"] self.filter_widget = ipyw.Dropdown( - options=self.filters, - value=self.cur_filter, - layout=ipyw.Layout(align_self='flex-end', width='15%')) - self.filter_widget.observe(self.handle_filter_changed, names='value') + options=self.filters, value=self.cur_filter, layout=ipyw.Layout(align_self="flex-end", width="15%") + ) + self.filter_widget.observe(self.handle_filter_changed, names="value") return def getFilteredEntries(self): @@ -208,12 +208,12 @@ def getFilteredEntries(self): list_files = filter(lambda o: not os.path.isdir(o), list_files) list_files = list(map(os.path.basename, list_files)) list_dirs = [o for o in os.listdir(curdir) if os.path.isdir(os.path.join(curdir, o))] - self.footer.value += '

' + ' '.join(list_dirs) + '

' + self.footer.value += "

" + " ".join(list_dirs) + "

" entries = list_dirs + list_files return entries def handle_filter_changed(self, value): - self.cur_filter = value['new'] + self.cur_filter = value["new"] self.changeDir(self.curdir) def disable(self): @@ -232,7 +232,8 @@ def changeDir(self, path): def handle_jumpto(self, s): v = self.jumpto_input.value - if not os.path.isdir(v): return + if not os.path.isdir(v): + return self.changeDir(v) return @@ -270,13 +271,13 @@ def validate(self, s): path = os.path.join(self.curdir, v) paths = [path] # check type - if self.type == 'file': + if self.type == "file": for p in paths: if not os.path.isfile(p): js_alert("Please select file(s)") return else: - assert self.type == 'directory' + assert self.type == "directory" for p in paths: if not os.path.isdir(p): js_alert("Please select directory(s)") @@ -288,7 +289,8 @@ def validate(self, s): self.selected = paths[0] # clean up unless user choose not to - if not self.stay_alive: self.remove() + if not self.stay_alive: + self.remove() # next step if self.next: @@ -304,13 +306,15 @@ def remove(self): # XXX css for big select area XXX -display(HTML(""" +display( + HTML(""" -""")) +""") +) def js_alert(m): @@ -318,49 +322,61 @@ def js_alert(m): display(HTML(js)) return + def cloneLayout(l): c = ipyw.Layout() - for k,v in l.get_state().items(): - if k.startswith('_'): continue + for k, v in l.get_state().items(): + if k.startswith("_"): + continue setattr(c, k, v) return c + def close(w): "recursively close a widget" recursive_op(w, lambda x: x.close()) return + def disable(w): "recursively disable a widget" + def _(w): w.disabled = True + recursive_op(w, _) return + def enable(w): "recursively enable a widget" + def _(w): w.disabled = False + recursive_op(w, _) return + def recursive_op(w, single_op): - if hasattr(w, 'children'): + if hasattr(w, "children"): for c in w.children: recursive_op(c, single_op) continue single_op(w) return + def close(w): "recursively close a widget" - if hasattr(w, 'children'): + if hasattr(w, "children"): for c in w.children: close(c) continue w.close() return + def create_file_times(paths): """returns a list of file modify time""" ftimes = [] @@ -383,8 +399,8 @@ def create_nametime_labels(entries, ftimes): return [] max_len = max(len(e) for e in entries) n_spaces = 5 - fmt_str = ' %-' + str(max_len + n_spaces) + "s|" + ' ' * n_spaces + '%s' - label_list = [fmt_str % (e, f) for e, f in zip(entries, ftimes)] + fmt_str = " %-" + str(max_len + n_spaces) + "s|" + " " * n_spaces + "%s" + label_list = [fmt_str % (e, f) for e, f in zip(entries, ftimes, strict=False)] return label_list @@ -396,20 +412,13 @@ def del_ftime(file_label): file_label_new = file_label.strip() if file_label_new != "." and file_label_new != "..": file_label_new = file_label_new.split("|")[0].rstrip() - return (file_label_new) - + return file_label_new -class FileSelection(object): +class FileSelection: next = None - def __init__(self, - working_dir='./', - filter='', - default_filter=None, - next=None, - instructions=None, - multiple=True): + def __init__(self, working_dir="./", filter="", default_filter=None, next=None, instructions=None, multiple=True): self.working_dir = working_dir self.instuctions = instructions self.filter = filter @@ -421,6 +430,7 @@ def __init__(self, def select_file_help(self, value): import webbrowser + webbrowser.open("https://neutronimaging.pages.ornl.gov/en/tutorial/notebooks/file_selector/#select_profile") def load_files(self, files): @@ -441,8 +451,7 @@ def load_files_without_checking_shape(self, files): self.data_dict = o_norm.data def select_data(self, check_shape=True): - help_ui = widgets.Button(description="HELP", - button_style='info') + help_ui = widgets.Button(description="HELP", button_style="info") help_ui.on_click(self.select_file_help) status_bar = ipyw.VBox([help_ui, self.progress_bar_output]) display(status_bar) @@ -450,110 +459,110 @@ def select_data(self, check_shape=True): instructions = self.instuctions if self.instuctions else "Select Images ..." if check_shape: - next = self.next if self.next else self.load_files if self.filter: - self.files_ui = fileselector.FileSelectorPanel(instruction=instructions, - start_dir=self.working_dir, - next=next, - filters=self.filter, - default_filter=self.default_filter, - multiple=self.multiple) + self.files_ui = fileselector.FileSelectorPanel( + instruction=instructions, + start_dir=self.working_dir, + next=next, + filters=self.filter, + default_filter=self.default_filter, + multiple=self.multiple, + ) else: - self.files_ui = fileselector.FileSelectorPanel(instruction=instructions, - start_dir=self.working_dir, - next=next, - multiple=self.multiple) + self.files_ui = fileselector.FileSelectorPanel( + instruction=instructions, start_dir=self.working_dir, next=next, multiple=self.multiple + ) else: - next = self.next if self.next else self.load_files_without_checking_shape if self.filter: - self.files_ui = fileselector.FileSelectorPanel(instruction=instructions, - start_dir=self.working_dir, - next=next, - filters=self.filter, - default_filter=self.default_filter, - multiple=self.multiple) + self.files_ui = fileselector.FileSelectorPanel( + instruction=instructions, + start_dir=self.working_dir, + next=next, + filters=self.filter, + default_filter=self.default_filter, + multiple=self.multiple, + ) else: - self.files_ui = fileselector.FileSelectorPanel(instruction=instructions, - start_dir=self.working_dir, - next=next, - multiple=self.multiple) + self.files_ui = fileselector.FileSelectorPanel( + instruction=instructions, start_dir=self.working_dir, next=next, multiple=self.multiple + ) self.files_ui.show() class FileSelectorPanelWithJumpFolders: - def __init__( - self, - instruction="Select Output Folder", - start_dir=".", - type='file', - next=None, - multiple=False, - newdir_toolbar_button=False, - custom_layout=None, - filters=dict(), default_filter=None, - stay_alive=False, - ipts_folder='./', - show_jump_to_share=True, - show_jump_to_home=True, + self, + instruction="Select Output Folder", + start_dir=".", + type="file", + next=None, + multiple=False, + newdir_toolbar_button=False, + custom_layout=None, + filters=dict(), + default_filter=None, + stay_alive=False, + ipts_folder="./", + show_jump_to_share=True, + show_jump_to_home=True, ): self.type = type self.next = next def display_file_selector_from_shared(ev): - start_dir = os.path.join(ipts_folder, 'shared') + start_dir = os.path.join(ipts_folder, "shared") if not os.path.exists(start_dir): start_dir = os.path.expanduser("~") self.output_folder_ui.remove() - self.display_file_selector(instruction=instruction, - start_dir=start_dir, - type=type, - next=next, - multiple=multiple, - newdir_toolbar_button=newdir_toolbar_button, - custom_layout=custom_layout, - filters=filters, - stay_alive=stay_alive, - ) + self.display_file_selector( + instruction=instruction, + start_dir=start_dir, + type=type, + next=next, + multiple=multiple, + newdir_toolbar_button=newdir_toolbar_button, + custom_layout=custom_layout, + filters=filters, + stay_alive=stay_alive, + ) def display_file_selector_from_home(ev): start_dir = os.path.expanduser("~") - self.output_folder_ui.remove() - self.display_file_selector(instruction=instruction, - start_dir=start_dir, - type=type, - next=next, - multiple=multiple, - newdir_toolbar_button=newdir_toolbar_button, - custom_layout=custom_layout, - filters=filters, - stay_alive=stay_alive, - ) + self.display_file_selector( + instruction=instruction, + start_dir=start_dir, + type=type, + next=next, + multiple=multiple, + newdir_toolbar_button=newdir_toolbar_button, + custom_layout=custom_layout, + filters=filters, + stay_alive=stay_alive, + ) ipts = os.path.basename(ipts_folder) - button_layout = widgets.Layout(width='30%', - border='1px solid gray') + button_layout = widgets.Layout(width="30%", border="1px solid gray") list_buttons = [] if show_jump_to_share: - share_button = widgets.Button(description="Jump to {} Shared Folder".format(ipts), - button_style='success', - layout=button_layout) + share_button = widgets.Button( + description=f"Jump to {ipts} Shared Folder", button_style="success", layout=button_layout + ) share_button.on_click(display_file_selector_from_shared) list_buttons.append(share_button) if show_jump_to_home: - home_button = widgets.Button(description="Jump to My Home Folder", - button_style='success', - layout=button_layout) + home_button = widgets.Button( + description="Jump to My Home Folder", button_style="success", layout=button_layout + ) home_button.on_click(display_file_selector_from_home) list_buttons.append(home_button) @@ -574,39 +583,45 @@ def display_file_selector_from_home(ev): # go_to_home_button_ui.on_click(display_file_selector_from_home) display(hbox) - self.shortcut_buttons = hbox # use this reference to hide those buttons - - self.display_file_selector(instruction=instruction, - start_dir=start_dir, - type=self.type, - next=next, - multiple=multiple, - newdir_toolbar_button=newdir_toolbar_button, - custom_layout=custom_layout, - filters=filters, - default_filter=default_filter, - stay_alive=stay_alive) - - def display_file_selector(self, instruction="", - start_dir="./", - multiple=False, - default_filter=None, - next=None, - newdir_toolbar_button=False, - type='file', - custom_layout=None, - filters=None, - stay_alive=False): - - self.output_folder_ui = fileselector.FileSelectorPanel(instruction=instruction, - start_dir=start_dir, - multiple=multiple, - next=next, - newdir_toolbar_button=newdir_toolbar_button, - type=type, - custom_layout=custom_layout, - default_filter=default_filter, - filters=filters, - stay_alive=stay_alive) + self.shortcut_buttons = hbox # use this reference to hide those buttons + + self.display_file_selector( + instruction=instruction, + start_dir=start_dir, + type=self.type, + next=next, + multiple=multiple, + newdir_toolbar_button=newdir_toolbar_button, + custom_layout=custom_layout, + filters=filters, + default_filter=default_filter, + stay_alive=stay_alive, + ) + + def display_file_selector( + self, + instruction="", + start_dir="./", + multiple=False, + default_filter=None, + next=None, + newdir_toolbar_button=False, + type="file", + custom_layout=None, + filters=None, + stay_alive=False, + ): + self.output_folder_ui = fileselector.FileSelectorPanel( + instruction=instruction, + start_dir=start_dir, + multiple=multiple, + next=next, + newdir_toolbar_button=newdir_toolbar_button, + type=type, + custom_layout=custom_layout, + default_filter=default_filter, + filters=filters, + stay_alive=stay_alive, + ) self.output_folder_ui.show() diff --git a/notebooks/__code/ipywe/tomvizjs.py b/notebooks/__code/ipywe/tomvizjs.py index 71420f87..9c7e6cf3 100755 --- a/notebooks/__code/ipywe/tomvizjs.py +++ b/notebooks/__code/ipywe/tomvizjs.py @@ -1,14 +1,13 @@ -#Allows Python 3-style division in Python 2.7 -from __future__ import division +# Allows Python 3-style division in Python 2.7 import ipywidgets as ipyw -from . import base from traitlets import Unicode +from . import base + -@ipyw.register('ipywe.TomvizJs') +@ipyw.register("ipywe.TomvizJs") class TomvizJs(base.DOMWidget): - _view_name = Unicode("TomvizJsView").tag(sync=True) _model_name = Unicode("TomvizJsModel").tag(sync=True) @@ -16,4 +15,4 @@ class TomvizJs(base.DOMWidget): def __init__(self, url=None): super(TomvizJs, self).__init__() - self.url = url + self.url = url diff --git a/notebooks/__code/ipywe/vtkjs.py b/notebooks/__code/ipywe/vtkjs.py index 196baea5..1c3a0c3a 100755 --- a/notebooks/__code/ipywe/vtkjs.py +++ b/notebooks/__code/ipywe/vtkjs.py @@ -1,14 +1,13 @@ -#Allows Python 3-style division in Python 2.7 -from __future__ import division +# Allows Python 3-style division in Python 2.7 import ipywidgets as ipyw -from . import base from traitlets import Unicode +from . import base + -@ipyw.register('ipywe.VtkJs') +@ipyw.register("ipywe.VtkJs") class VtkJs(base.DOMWidget): - _view_name = Unicode("VtkJsView").tag(sync=True) _model_name = Unicode("VtkJsModel").tag(sync=True) @@ -16,4 +15,4 @@ class VtkJs(base.DOMWidget): def __init__(self, url=None): super(VtkJs, self).__init__() - self.url = url + self.url = url diff --git a/notebooks/__code/ipywe/wizard.py b/notebooks/__code/ipywe/wizard.py index d553271c..f00ae466 100755 --- a/notebooks/__code/ipywe/wizard.py +++ b/notebooks/__code/ipywe/wizard.py @@ -1,10 +1,6 @@ -# coding: utf-8 - - -import traitlets import ipywidgets as ipyw -from IPython.display import display, HTML, clear_output -from ._utils import js_alert +import traitlets +from IPython.display import display class Context: @@ -12,10 +8,8 @@ class Context: class Step(traitlets.HasTraits): - - layout = ipyw.Layout(border="1px lightgray solid", - margin='5px', padding='15px') - button_layout = ipyw.Layout(margin='10px 5px 5px 5px') + layout = ipyw.Layout(border="1px lightgray solid", margin="5px", padding="15px") + button_layout = ipyw.Layout(margin="10px 5px 5px 5px") def __init__(self, context, previous_step=None): super(Step, self).__init__() @@ -39,11 +33,11 @@ def createNavigation(self): previous_step = self.previous_step buttons = [] if previous_step: - PREVIOUS = ipyw.Button(description='PREVIOUS') + PREVIOUS = ipyw.Button(description="PREVIOUS") PREVIOUS.on_click(self.handle_previous_button_click) buttons.append(PREVIOUS) # - NEXT = ipyw.Button(description='NEXT') + NEXT = ipyw.Button(description="NEXT") NEXT.on_click(self.handle_next_button_click) buttons.append(NEXT) return ipyw.HBox(children=buttons) @@ -54,10 +48,10 @@ def show(self): if not self._ondisplay: display(self.panel) self._ondisplay = True - self.panel.layout.display = 'block' + self.panel.layout.display = "block" def remove(self): - self.panel.layout.display = 'none' + self.panel.layout.display = "none" def handle_next_button_click(self, s): if not self.validate(): @@ -82,7 +76,8 @@ def nextStep(self): else: next_step = self.next_step # no next step. done - if next_step is None: return + if next_step is None: + return # has next step. make sure it knows about this step next_step.previous_step = self next_step.show() @@ -90,5 +85,3 @@ def nextStep(self): def createNextStep(self): raise NotImplementedError - - diff --git a/notebooks/__code/linear_profile.py b/notebooks/__code/linear_profile.py index 8adb2fcb..917cd2e0 100755 --- a/notebooks/__code/linear_profile.py +++ b/notebooks/__code/linear_profile.py @@ -1,26 +1,8 @@ -#from ipywidgets.widgets import interact -from ipywidgets import widgets -from IPython.display import HTML -from IPython.display import display -import ipywe.fileselector +# from ipywidgets.widgets import interact -import matplotlib.pyplot as plt -import matplotlib.patches as patches - -import numpy as np -import os - -import pyqtgraph as pg try: - from PyQt4.QtGui import QFileDialog from PyQt4 import QtCore, QtGui - from PyQt4.QtGui import QMainWindow + from PyQt4.QtGui import QFileDialog, QMainWindow except ImportError: - from PyQt5.QtWidgets import QFileDialog - from PyQt5 import QtCore, QtGui - from PyQt5.QtWidgets import QApplication - -from __code import file_handler -from __code.ui_linear_profile import Ui_MainWindow as UiMainWindow - + pass diff --git a/notebooks/__code/list_metadata_and_time_with_oncat.py b/notebooks/__code/list_metadata_and_time_with_oncat.py index 52b3e44d..9acbe0a0 100755 --- a/notebooks/__code/list_metadata_and_time_with_oncat.py +++ b/notebooks/__code/list_metadata_and_time_with_oncat.py @@ -1,7 +1,8 @@ -from IPython.display import display, HTML -from ipywidgets import widgets -from collections import OrderedDict import os +from collections import OrderedDict + +from IPython.display import HTML, display +from ipywidgets import widgets from __code import oncat from __code.file_handler import make_ascii_file @@ -9,10 +10,9 @@ class ListMetadata: - - instrument = 'CG1D' - facility = 'HFIR' - first_file = '' + instrument = "CG1D" + facility = "HFIR" + first_file = "" list_of_files = [] list_metadata = [] @@ -41,12 +41,15 @@ def select_metadata(self, system=None, list_of_files=[]): self.list_metadata_with_examples = self.retrieve_list_metadata_with_examples() display(HTML('CTRL + Click to select multiple rows!')) - box1 = widgets.HBox([widgets.Label("Select Metadata To Retrieve", - layout=widgets.Layout(width='20%')), - widgets.SelectMultiple(options=self.list_metadata_with_examples, - layout=widgets.Layout(width='80%', - height='100%'))], - layout=widgets.Layout(height='500px')) + box1 = widgets.HBox( + [ + widgets.Label("Select Metadata To Retrieve", layout=widgets.Layout(width="20%")), + widgets.SelectMultiple( + options=self.list_metadata_with_examples, layout=widgets.Layout(width="80%", height="100%") + ), + ], + layout=widgets.Layout(height="500px"), + ) self.select_box = box1.children[1] display(box1) @@ -60,23 +63,21 @@ def retrieve_list_metadata_with_examples(self): def format_list_metadata_with_examples(list_metadata, raw_data): list_metadata_with_examples = [] for _key in list_metadata: - _key_with_value = "{:>40} \t --> \texample: {}".format(_key, - raw_data[_key]) + _key_with_value = f"{_key:>40} \t --> \texample: {raw_data[_key]}" list_metadata_with_examples.append(_key_with_value) return list_metadata_with_examples def retrieve_list_metadata(self): - _data = oncat.GetEverything(instrument=self.instrument, - facility=self.facility, - run=self.first_file, - oncat=self.oncat_session) + _data = oncat.GetEverything( + instrument=self.instrument, facility=self.facility, run=self.first_file, oncat=self.oncat_session + ) self.raw_oncat_data = _data.datafiles sorted_dict_metadata = self.create_sorted_dict_metadata(_data) return sorted_dict_metadata.keys() def create_sorted_dict_metadata(self, _data): - _data = _data.datafiles['metadata'] + _data = _data.datafiles["metadata"] dict_metadata = _data.to_dict() keys_sorted = sorted(dict_metadata.keys()) sorted_dict_metadata = OrderedDict() @@ -90,34 +91,36 @@ def export_ascii(self, output_folder): projection = self.create_projection() output_ascii_file_name = ListMetadata.create_output_ascii_name(list_files, output_folder) - o_metadata_selected = oncat.GetProjection(instrument=self.instrument, - facility=self.facility, - list_files=list_files, - oncat=self.oncat_session, - projection=projection, - with_progressbar=True) + o_metadata_selected = oncat.GetProjection( + instrument=self.instrument, + facility=self.facility, + list_files=list_files, + oncat=self.oncat_session, + projection=projection, + with_progressbar=True, + ) metadata_selected = o_metadata_selected.datafiles name_metadata = self.create_metadata_name_row() value_metadata = self.create_metadata_value_rows(list_files, metadata_selected) - make_ascii_file(metadata=name_metadata, - data=value_metadata, - output_file_name=output_ascii_file_name, - dim='1d') + make_ascii_file(metadata=name_metadata, data=value_metadata, output_file_name=output_ascii_file_name, dim="1d") print("Done!") - display(HTML('File ' + output_ascii_file_name + - ' has been created with success!')) + display( + HTML( + 'File ' + + output_ascii_file_name + + " has been created with success!" + ) + ) def create_metadata_value_rows(self, list_files, metadata_selected): value_metadata = [] for _file in list_files: - time_stamp = self.unify_timestamp_format(metadata_selected[_file]['ingested']) + time_stamp = self.unify_timestamp_format(metadata_selected[_file]["ingested"]) _metadata = [] for _metadata_name in self.get_list_metadata_selected(): - _metadata.append(str(metadata_selected[_file]['metadata'][_metadata_name])) - row_string = "{}, {}, {}".format(_file, - time_stamp, - ", ".join(_metadata)) + _metadata.append(str(metadata_selected[_file]["metadata"][_metadata_name])) + row_string = "{}, {}, {}".format(_file, time_stamp, ", ".join(_metadata)) value_metadata.append(row_string) return value_metadata @@ -132,7 +135,7 @@ def create_metadata_name_row(self): @staticmethod def create_output_ascii_name(list_files, output_folder): - output_ascii_file_name = os.path.basename(os.path.dirname(list_files[0]) + '_metadata_report_from_oncat.txt') + output_ascii_file_name = os.path.basename(os.path.dirname(list_files[0]) + "_metadata_report_from_oncat.txt") output_folder = os.path.abspath(output_folder) return os.path.join(output_folder, output_ascii_file_name) @@ -140,7 +143,7 @@ def create_projection(self): list_metadata_selected = self.get_list_metadata_selected() projection = [] for _metadata_selected in list_metadata_selected: - projection.append('metadata.{}'.format(_metadata_selected.strip())) + projection.append(f"metadata.{_metadata_selected.strip()}") return projection def get_list_metadata_selected(self): @@ -149,6 +152,3 @@ def get_list_metadata_selected(self): metadata_name = metadata_selected.split("\t -->") list_metadata_selected.append(metadata_name[0].strip()) return list_metadata_selected - - - diff --git a/notebooks/__code/load_images.py b/notebooks/__code/load_images.py index ca030557..c1ea5cdd 100755 --- a/notebooks/__code/load_images.py +++ b/notebooks/__code/load_images.py @@ -1,8 +1,6 @@ -from IPython.display import HTML +import numpy as np from IPython.display import display from ipywidgets import widgets -import numpy as np - from NeuNorm.normalization import Normalization # from __code import file_handler @@ -10,23 +8,20 @@ class LoadImages: - nbr_files = 0 - images_dimension = {'height': 0, - 'width': 0} + images_dimension = {"height": 0, "width": 0} working_data = [] - working_dir = '' + working_dir = "" list_images = [] # use with virtual array (data are loaded on the fly) data_dict = None - def __init__(self, working_dir=''): + def __init__(self, working_dir=""): self.working_dir = working_dir def select_images(self, use_next=False, virtual_load=False): - if virtual_load: next = self.prepare_images_array @@ -37,14 +32,13 @@ def select_images(self, use_next=False, virtual_load=False): else: next = None - self.message = widgets.Label('SELECT THE IMAGES YOU WANT TO WORK ON ...') + self.message = widgets.Label("SELECT THE IMAGES YOU WANT TO WORK ON ...") display(self.message) # display(HTML('Select the images you want to work on!')) - self.list_images_ui = fileselector.FileSelectorPanel(instruction='Select Images...', - multiple=True, - next=next, - start_dir=self.working_dir) + self.list_images_ui = fileselector.FileSelectorPanel( + instruction="Select Images...", multiple=True, next=next, start_dir=self.working_dir + ) self.list_images_ui.show() def prepare_images_array(self, list_images): @@ -56,8 +50,7 @@ def prepare_images_array(self, list_images): return for index, image in enumerate(list_images): - self.data_dict[index] = {'filename': image, - 'data': None} + self.data_dict[index] = {"filename": image, "data": None} def load_images(self, list_images=[]): if list_images == []: @@ -67,7 +60,8 @@ def load_images(self, list_images=[]): self.o_norm.load(file=list_images, notebook=True, check_shape=False) self.nbr_files = len(list_images) - [self.images_dimension['height'], self.images_dimension['width']] = \ - np.shape(self.o_norm.data['sample']['data'][0]) - self.working_data = np.squeeze(self.o_norm.data['sample']['data']) + [self.images_dimension["height"], self.images_dimension["width"]] = np.shape( + self.o_norm.data["sample"]["data"][0] + ) + self.working_data = np.squeeze(self.o_norm.data["sample"]["data"]) self.list_images = list_images diff --git a/notebooks/__code/match_images_shapes/load_images.py b/notebooks/__code/match_images_shapes/load_images.py index 04625021..6ca060f3 100755 --- a/notebooks/__code/match_images_shapes/load_images.py +++ b/notebooks/__code/match_images_shapes/load_images.py @@ -1,34 +1,25 @@ -from IPython.display import HTML -from IPython.display import display - -import numpy as np +from IPython.display import HTML, display try: - from PyQt4.QtGui import QFileDialog from PyQt4 import QtCore, QtGui - from PyQt4.QtGui import QMainWindow + from PyQt4.QtGui import QFileDialog, QMainWindow except ImportError: - from PyQt5.QtWidgets import QFileDialog - from PyQt5 import QtCore, QtGui - from PyQt5.QtWidgets import QApplication + pass from NeuNorm.normalization import Normalization -from __code import file_handler from __code.ipywe import fileselector -class LoadImages(object): - +class LoadImages: nbr_files = 0 - images_dimension = {'height': 0, - 'width': 0} + images_dimension = {"height": 0, "width": 0} working_data = [] - working_dir = '' + working_dir = "" list_images = [] - def __init__(self, working_dir=''): + def __init__(self, working_dir=""): self.working_dir = working_dir def select_images(self, use_next=False): @@ -37,10 +28,9 @@ def select_images(self, use_next=False): else: next = None display(HTML('Select the images you want to work on!')) - self.list_images_ui = fileselector.FileSelectorPanel(instruction='Select Images...', - multiple=True, - next=next, - start_dir=self.working_dir) + self.list_images_ui = fileselector.FileSelectorPanel( + instruction="Select Images...", multiple=True, next=next, start_dir=self.working_dir + ) self.list_images_ui.show() def load_images(self, list_images=[]): @@ -53,6 +43,6 @@ def load_images(self, list_images=[]): self.nbr_files = len(list_images) # [self.images_dimension['height'], self.images_dimension['width']] = \ # np.shape(self.o_norm.data['sample']['data'][0]) - self.working_data = self.o_norm.data['sample']['data'] + self.working_data = self.o_norm.data["sample"]["data"] self.list_images = list_images - self.working_metadata = self.o_norm.data['sample']['metadata'] + self.working_metadata = self.o_norm.data["sample"]["metadata"] diff --git a/notebooks/__code/match_images_shapes/main.py b/notebooks/__code/match_images_shapes/main.py index b6710bda..185b8be3 100755 --- a/notebooks/__code/match_images_shapes/main.py +++ b/notebooks/__code/match_images_shapes/main.py @@ -1,15 +1,15 @@ import os -import numpy as np + import ipywidgets as widgets -from IPython.display import display, HTML +import numpy as np +from IPython.display import HTML, display -from __code.ipywe import fileselector -from __code._utilities.folder import make_or_reset_folder from __code import file_handler +from __code._utilities.folder import make_or_reset_folder +from __code.ipywe import fileselector class Main: - list_shapes = None def __init__(self, working_data=None, list_images=None, working_metadata=None): @@ -32,25 +32,26 @@ def display_available_shapes(self): _height, _width = _shape self.dict_shapes[f"{_height}, {_width}"] = _shape - vertical_layout = widgets.VBox([widgets.Label("Available shapes (height, width)"), - widgets.RadioButtons(options=self.dict_shapes.keys())]) + vertical_layout = widgets.VBox( + [widgets.Label("Available shapes (height, width)"), widgets.RadioButtons(options=self.dict_shapes.keys())] + ) display(vertical_layout) self.shape_dropdown_ui = vertical_layout.children[1] def select_output_folder(self): + display( + HTML( + 'Select where you want to create the corrected images new folder!' + ) + ) - display(HTML( - 'Select where you want to create the corrected images new folder!')) - - self.output_folder_ui = fileselector.FileSelectorPanel(instruction='Select Output Folder ...', - start_dir=self.working_dir, - type='directory', - next=self.export) + self.output_folder_ui = fileselector.FileSelectorPanel( + instruction="Select Output Folder ...", start_dir=self.working_dir, type="directory", next=self.export + ) self.output_folder_ui.show() def export(self, output_folder): - w = widgets.IntProgress() w.max = len(self.list_images) display(w) @@ -64,7 +65,6 @@ def export(self, output_folder): make_or_reset_folder(new_output_folder) for _index, _data in enumerate(self.working_data): - _file_name = self.list_images[_index] _metadata = self.working_metadata[_index] @@ -80,11 +80,13 @@ def export(self, output_folder): base_filename = os.path.basename(_file_name) full_new_output_filename = os.path.join(new_output_folder, base_filename) - file_handler.make_tiff(data=new_image, - # metadata=_metadata, - filename=full_new_output_filename) + file_handler.make_tiff( + data=new_image, + # metadata=_metadata, + filename=full_new_output_filename, + ) w.value = _index + 1 w.close() - display(HTML('Images created in ' + new_output_folder + '')) + display(HTML('Images created in ' + new_output_folder + "")) diff --git a/notebooks/__code/math_images.py b/notebooks/__code/math_images.py index 53e0f2c9..21bc8be1 100755 --- a/notebooks/__code/math_images.py +++ b/notebooks/__code/math_images.py @@ -1,36 +1,34 @@ import os -from ipywidgets import widgets -from IPython.display import display, HTML -import numpy as np +import numpy as np +from IPython.display import HTML, display +from ipywidgets import widgets from NeuNorm.normalization import Normalization from __code import file_handler from __code.ipywe import fileselector -class MathImages(object): - working_dir = '' +class MathImages: + working_dir = "" - def __init__(self, working_dir=''): + def __init__(self, working_dir=""): self.working_dir = working_dir def select_files(self): - self.files_list_widget = fileselector.FileSelectorPanel(instruction='select images to operate on', - start_dir=self.working_dir, - multiple=True) + self.files_list_widget = fileselector.FileSelectorPanel( + instruction="select images to operate on", start_dir=self.working_dir, multiple=True + ) self.files_list_widget.show() def select_target_image(self): - self.target_file = fileselector.FileSelectorPanel(instruction='select images to use in operation', - start_dir=self.working_dir, - multiple=False) + self.target_file = fileselector.FileSelectorPanel( + instruction="select images to use in operation", start_dir=self.working_dir, multiple=False + ) self.target_file.show() def which_math(self): - self.math_method = widgets.RadioButtons(options=['substract', - 'add'], - value='substract') + self.math_method = widgets.RadioButtons(options=["substract", "add"], value="substract") display(self.math_method) def recap(self): @@ -47,17 +45,26 @@ def check_operation(self): list_files = self.list_files target_file = self.target_file - display(HTML('You are about to ' + math \ - + ' ' + '' + os.path.basename(target_file) + - ' from the ' + str(len(list_files)) + - ' files you selected!')) + display( + HTML( + 'You are about to ' + + math + + " " + + '' + + os.path.basename(target_file) + + " from the " + + str(len(list_files)) + + ' files you selected!' + ) + ) def select_output_folder(self): - self.output_folder_widget = fileselector.FileSelectorPanel(instruction='select where to create the ' + \ - 'new images ...', - start_dir=self.working_dir, - next=self.do_the_math, - type='directory') + self.output_folder_widget = fileselector.FileSelectorPanel( + instruction="select where to create the " + "new images ...", + start_dir=self.working_dir, + next=self.do_the_math, + type="directory", + ) self.output_folder_widget.show() @@ -69,15 +76,15 @@ def do_the_math(self, output_folder): o_load = Normalization() o_load.load(file=list_files, notebook=True) - data = o_load.data['sample']['data'] + data = o_load.data["sample"]["data"] o_target = Normalization() o_target.load(file=target_file, notebook=False) - target_data = o_target.data['sample']['data'] + target_data = o_target.data["sample"]["data"] - if math == 'add': + if math == "add": algorithm = self.__add - elif math == 'substract': + elif math == "substract": algorithm = self.__substract final_array = algorithm(data, target_data) @@ -90,14 +97,18 @@ def do_the_math(self, output_folder): o_export.load(data=final_array, notebook=True) input_folder = os.path.basename(os.path.dirname(self.list_files[0])) - new_output_folder = self.make_new_output_folder(input_folder=input_folder, - output_folder=output_folder, - math=math) - o_export.export(new_output_folder, data_type='sample') + new_output_folder = self.make_new_output_folder( + input_folder=input_folder, output_folder=output_folder, math=math + ) + o_export.export(new_output_folder, data_type="sample") del o_export - display(HTML('Files have been created in' - ' the folder ' + new_output_folder + '')) + display( + HTML( + 'Files have been created in' + " the folder " + new_output_folder + "" + ) + ) def __add(self, data_array, target_array): return np.add(data_array, target_array) @@ -108,7 +119,7 @@ def __substract(self, data_array, target_array): def __math_algorithm(self, function_, *args): return function_(*args) - def make_new_output_folder(self, input_folder='', output_folder='', math='add'): + def make_new_output_folder(self, input_folder="", output_folder="", math="add"): new_output_folder = os.path.join(output_folder, input_folder + "_" + math) file_handler.make_folder(new_output_folder) return new_output_folder diff --git a/notebooks/__code/mcp_chips_corrector/__init__.py b/notebooks/__code/mcp_chips_corrector/__init__.py index e96177d5..ad6ca77f 100755 --- a/notebooks/__code/mcp_chips_corrector/__init__.py +++ b/notebooks/__code/mcp_chips_corrector/__init__.py @@ -1,31 +1,29 @@ from qtpy.QtGui import QColor -CHIP_CORRECTION = {'low': {1: {'xoffset': 0, - 'yoffset': 0}, - 2: {'xoffset': 2, - 'yoffset': 0}, - 3: {'xoffset': 0, - 'yoffset': 3}, - 4: {'xoffset': 2, - 'yoffset': 3}, - }, - 'high': {1: {'xoffset': 0, - 'yoffset': 0}, - 2: {'xoffset': 16, - 'yoffset': 0}, - 3: {'xoffset': 0, - 'yoffset': 16}, - 4: {'xoffset': 8, - 'yoffset': 16}, - }, - } -CHIP_GAP = {'low': {'xoffset': 2, - 'yoffset': 3, - }, - 'high': {'xoffset': 8, - 'yoffset': 16, - } - } +CHIP_CORRECTION = { + "low": { + 1: {"xoffset": 0, "yoffset": 0}, + 2: {"xoffset": 2, "yoffset": 0}, + 3: {"xoffset": 0, "yoffset": 3}, + 4: {"xoffset": 2, "yoffset": 3}, + }, + "high": { + 1: {"xoffset": 0, "yoffset": 0}, + 2: {"xoffset": 16, "yoffset": 0}, + 3: {"xoffset": 0, "yoffset": 16}, + 4: {"xoffset": 8, "yoffset": 16}, + }, +} +CHIP_GAP = { + "low": { + "xoffset": 2, + "yoffset": 3, + }, + "high": { + "xoffset": 8, + "yoffset": 16, + }, +} NBR_OF_EDGES_PIXEL_TO_NOT_USE = 1 diff --git a/notebooks/__code/mcp_chips_corrector/alignment.py b/notebooks/__code/mcp_chips_corrector/alignment.py index 5bb997ab..bf59db86 100755 --- a/notebooks/__code/mcp_chips_corrector/alignment.py +++ b/notebooks/__code/mcp_chips_corrector/alignment.py @@ -1,13 +1,12 @@ -import copy +import logging + import numpy as np from scipy import interpolate -import logging -from __code.mcp_chips_corrector import CHIP_CORRECTION, MCP_LOW_MODE, CHIP_GAP, NBR_OF_EDGES_PIXEL_TO_NOT_USE +from __code.mcp_chips_corrector import CHIP_CORRECTION, CHIP_GAP, MCP_LOW_MODE, NBR_OF_EDGES_PIXEL_TO_NOT_USE class Alignment: - raw_image = None chip_width = None chip_height = None @@ -17,8 +16,8 @@ def __init__(self, parent=None, raw_image=None): self.raw_image = raw_image chip_size = self.get_chip_size() - self.chip_width = chip_size['width'] - self.chip_height = chip_size['height'] + self.chip_width = chip_size["width"] + self.chip_height = chip_size["height"] def correct(self): moved_image = self.move_chips(input_image=self.raw_image) @@ -26,39 +25,25 @@ def correct(self): return fill_image def fill_gaps(self, moved_image=None): - if not self.parent.ui.auto_fill_gaps_checkBox.isChecked(): return moved_image if moved_image is None: raise ValueError("no moved image provided to fill_gaps") - logging.info(f"--> filling gaps") + logging.info("--> filling gaps") - self._fix_vertical_gap(moved_image=moved_image, - first_chip_index=1, - second_chip_index=2, - image_mode='low') + self._fix_vertical_gap(moved_image=moved_image, first_chip_index=1, second_chip_index=2, image_mode="low") - self._fix_vertical_gap(moved_image=moved_image, - first_chip_index=3, - second_chip_index=4, - image_mode='low') + self._fix_vertical_gap(moved_image=moved_image, first_chip_index=3, second_chip_index=4, image_mode="low") - self._fix_horizontal_gap(moved_image=moved_image, - first_chip_index=1, - second_chip_index=3, - image_mode='low') + self._fix_horizontal_gap(moved_image=moved_image, first_chip_index=1, second_chip_index=3, image_mode="low") - self._fix_horizontal_gap(moved_image=moved_image, - first_chip_index=2, - second_chip_index=4, - image_mode='low') + self._fix_horizontal_gap(moved_image=moved_image, first_chip_index=2, second_chip_index=4, image_mode="low") return moved_image - def _fix_vertical_gap(self, moved_image=None, first_chip_index=1, second_chip_index=2, image_mode='low'): - + def _fix_vertical_gap(self, moved_image=None, first_chip_index=1, second_chip_index=2, image_mode="low"): logging.info(f"---> working on vertical gap chip{first_chip_index}/chip{second_chip_index}") chip_a = self.get_chip(chip_index=first_chip_index) chip_b = self.get_chip(chip_index=second_chip_index) @@ -71,13 +56,12 @@ def _fix_vertical_gap(self, moved_image=None, first_chip_index=1, second_chip_in global_y_axis_left = y_axis_left elif (first_chip_index == 3) and (second_chip_index == 4): - global_y_axis_left = np.arange(self.chip_height) + self.chip_height + size_of_gap['yoffset'] + global_y_axis_left = np.arange(self.chip_height) + self.chip_height + size_of_gap["yoffset"] x_axis_right = np.zeros(self.chip_height) + NBR_OF_EDGES_PIXEL_TO_NOT_USE y_axis_right = y_axis_left for index, y in enumerate(global_y_axis_left): - # logging.debug(f"----> index: {index} and y: {y}") x_left = int(x_axis_left[index]) @@ -89,22 +73,19 @@ def _fix_vertical_gap(self, moved_image=None, first_chip_index=1, second_chip_in intensity_right = chip_b[y_right, x_right] x0 = x_left - x1 = x_left + size_of_gap['xoffset'] + 1 + 2 * NBR_OF_EDGES_PIXEL_TO_NOT_USE + x1 = x_left + size_of_gap["xoffset"] + 1 + 2 * NBR_OF_EDGES_PIXEL_TO_NOT_USE - list_x_gap = np.arange(x0+1, x1) + list_x_gap = np.arange(x0 + 1, x1) # logging.debug(f"-----> x0:{x0}, x1:{x1}, value_x0:{intensity_left}, value_x1:{intensity_right}") # logging.debug(f"-----> list_x_gap: {list_x_gap}") - list_intensity_gap = Alignment.get_interpolated_value(x0=x0, - x1=x1, - value_x0=intensity_left, - value_x1=intensity_right, - list_value_x=list_x_gap) + list_intensity_gap = Alignment.get_interpolated_value( + x0=x0, x1=x1, value_x0=intensity_left, value_x1=intensity_right, list_value_x=list_x_gap + ) # logging.debug(f"------> list_intensity_gap: {list_intensity_gap}") - for _x, _intensity in zip(list_x_gap, list_intensity_gap): + for _x, _intensity in zip(list_x_gap, list_intensity_gap, strict=False): moved_image[y, _x] = _intensity - def _fix_horizontal_gap(self, moved_image=None, first_chip_index=1, second_chip_index=3, image_mode='low'): - + def _fix_horizontal_gap(self, moved_image=None, first_chip_index=1, second_chip_index=3, image_mode="low"): logging.info(f"---> working on horizontal gap chip{first_chip_index}/chip{second_chip_index}") chip_a = self.get_chip(chip_index=first_chip_index) chip_b = self.get_chip(chip_index=second_chip_index) @@ -117,13 +98,12 @@ def _fix_horizontal_gap(self, moved_image=None, first_chip_index=1, second_chip_ global_x_axis_top = x_axis_top elif (first_chip_index == 2) and (second_chip_index == 4): - global_x_axis_top = np.arange(self.chip_width) + self.chip_width + size_of_gap['xoffset'] + global_x_axis_top = np.arange(self.chip_width) + self.chip_width + size_of_gap["xoffset"] x_axis_bottom = x_axis_top y_axis_bottom = np.zeros(self.chip_width) + NBR_OF_EDGES_PIXEL_TO_NOT_USE for index, x in enumerate(global_x_axis_top): - logging.debug(f"----> index: {index} and x: {x}") x_top = int(x_axis_top[index]) @@ -135,33 +115,30 @@ def _fix_horizontal_gap(self, moved_image=None, first_chip_index=1, second_chip_ intensity_bottom = chip_b[y_bottom, x_bottom] y0 = y_top - y1 = y_top + size_of_gap['yoffset'] + 1 + 2 * NBR_OF_EDGES_PIXEL_TO_NOT_USE + y1 = y_top + size_of_gap["yoffset"] + 1 + 2 * NBR_OF_EDGES_PIXEL_TO_NOT_USE - list_y_gap = np.arange(y0+1, y1) + list_y_gap = np.arange(y0 + 1, y1) logging.debug(f"-----> y0:{y0}, y1:{y1}, value_y0:{intensity_top}, value_y1:{intensity_bottom}") logging.debug(f"-----> list_y_gap: {list_y_gap}") - list_intensity_gap = Alignment.get_interpolated_value(x0=y0, - x1=y1, - value_x0=intensity_top, - value_x1=intensity_bottom, - list_value_x=list_y_gap) + list_intensity_gap = Alignment.get_interpolated_value( + x0=y0, x1=y1, value_x0=intensity_top, value_x1=intensity_bottom, list_value_x=list_y_gap + ) logging.debug(f"------> list_intensity_gap: {list_intensity_gap}") - for _y, _intensity in zip(list_y_gap, list_intensity_gap): + for _y, _intensity in zip(list_y_gap, list_intensity_gap, strict=False): logging.debug(f"------> _y:{_y}, x:{x}") moved_image[_y, x] = _intensity def move_chips(self, input_image=None): - - logging.info(f"--> moving chips") + logging.info("--> moving chips") if input_image is None: raise ValueError("no input image provided to move_chips!") image_height, image_width = self.parent.image_size.height, self.parent.image_size.width if image_height == MCP_LOW_MODE: - mode = 'low' + mode = "low" else: - mode = 'high' + mode = "high" chip_width = self.chip_width chip_height = self.chip_height @@ -173,69 +150,62 @@ def move_chips(self, input_image=None): chip3 = self.get_chip(chip_index=3) chip4 = self.get_chip(chip_index=4) - list_xoffset = [CHIP_CORRECTION[mode][key]['xoffset'] for - key in CHIP_CORRECTION[mode].keys()] + list_xoffset = [CHIP_CORRECTION[mode][key]["xoffset"] for key in CHIP_CORRECTION[mode].keys()] max_xoffset = np.max(list_xoffset) - list_yoffset = [CHIP_CORRECTION[mode][key]['yoffset'] for - key in CHIP_CORRECTION[mode].keys()] + list_yoffset = [CHIP_CORRECTION[mode][key]["yoffset"] for key in CHIP_CORRECTION[mode].keys()] max_yoffset = np.max(list_yoffset) - new_image = np.zeros((image_height + max_yoffset, - image_width + max_xoffset)) - - new_image[0: chip_height, 0:chip_width] = chip1 - new_image[CHIP_CORRECTION[mode][2]['yoffset']: - CHIP_CORRECTION[mode][2]['yoffset'] + chip_height, - chip_width + CHIP_CORRECTION[mode][2]['xoffset']: - CHIP_CORRECTION[mode][2]['xoffset'] + 2*chip_width] = chip2 - new_image[CHIP_CORRECTION[mode][3]['yoffset'] + chip_height: - CHIP_CORRECTION[mode][3]['yoffset'] + 2*chip_height, - CHIP_CORRECTION[mode][3]['xoffset']: - CHIP_CORRECTION[mode][3]['xoffset'] + chip_width] = chip3 - new_image[CHIP_CORRECTION[mode][4]['yoffset'] + chip_height: - CHIP_CORRECTION[mode][4]['yoffset'] + 2 * chip_height, - CHIP_CORRECTION[mode][4]['xoffset'] + chip_width: - CHIP_CORRECTION[mode][4]['xoffset'] + 2 * chip_width] = chip4 + new_image = np.zeros((image_height + max_yoffset, image_width + max_xoffset)) + + new_image[0:chip_height, 0:chip_width] = chip1 + new_image[ + CHIP_CORRECTION[mode][2]["yoffset"] : CHIP_CORRECTION[mode][2]["yoffset"] + chip_height, + chip_width + CHIP_CORRECTION[mode][2]["xoffset"] : CHIP_CORRECTION[mode][2]["xoffset"] + 2 * chip_width, + ] = chip2 + new_image[ + CHIP_CORRECTION[mode][3]["yoffset"] + chip_height : CHIP_CORRECTION[mode][3]["yoffset"] + 2 * chip_height, + CHIP_CORRECTION[mode][3]["xoffset"] : CHIP_CORRECTION[mode][3]["xoffset"] + chip_width, + ] = chip3 + new_image[ + CHIP_CORRECTION[mode][4]["yoffset"] + chip_height : CHIP_CORRECTION[mode][4]["yoffset"] + 2 * chip_height, + CHIP_CORRECTION[mode][4]["xoffset"] + chip_width : CHIP_CORRECTION[mode][4]["xoffset"] + 2 * chip_width, + ] = chip4 logging.debug(f"---> np.shape(new_image): {np.shape(new_image)}") return new_image def get_chip(self, chip_index=1): - raw_image = self.raw_image - image_height, image_width = self.parent.image_size.height, \ - self.parent.image_size.width + image_height, image_width = self.parent.image_size.height, self.parent.image_size.width chip_width = self.chip_width chip_height = self.chip_height if chip_index == 1: - return raw_image[0: chip_height, 0: chip_width] + return raw_image[0:chip_height, 0:chip_width] elif chip_index == 2: - return raw_image[0: chip_height, chip_width:image_width] + return raw_image[0:chip_height, chip_width:image_width] elif chip_index == 3: - return raw_image[chip_height: image_height, 0: chip_width] + return raw_image[chip_height:image_height, 0:chip_width] elif chip_index == 4: - return raw_image[chip_height: image_height, chip_width: image_width] + return raw_image[chip_height:image_height, chip_width:image_width] else: raise ValueError("chip index does not exist!") def get_chip_size(self): - image_height, image_width = self.parent.image_size.height, \ - self.parent.image_size.width + image_height, image_width = self.parent.image_size.height, self.parent.image_size.width mid_width = int(image_width / 2) mid_height = int(image_height / 2) - return {'width': mid_width, 'height': mid_height} + return {"width": mid_width, "height": mid_height} @staticmethod - def get_interpolated_value(x0=0, x1=1, value_x0=5, value_x1=10, list_value_x=[np.NaN]): - + def get_interpolated_value(x0=0, x1=1, value_x0=5, value_x1=10, list_value_x=[np.nan]): # logging.debug(f"x0:{x0}, x1:{x1}. value_x0:{value_x0}, value_x1:{value_x1}, list_value:{list_value_x}") A = (x0, x1) B = (value_x0, value_x1) diff --git a/notebooks/__code/mcp_chips_corrector/event_handler.py b/notebooks/__code/mcp_chips_corrector/event_handler.py index 7e12f5cd..dee46bff 100755 --- a/notebooks/__code/mcp_chips_corrector/event_handler.py +++ b/notebooks/__code/mcp_chips_corrector/event_handler.py @@ -1,19 +1,19 @@ +import copy +import logging + import numpy as np import pyqtgraph as pg -import logging from qtpy.QtGui import QPen -import copy -from __code.mcp_chips_corrector.get import Get -from __code.mcp_chips_corrector import COLOR_CONTOUR, PROFILE_ROI, INTER_CHIPS +from __code.mcp_chips_corrector import COLOR_CONTOUR, INTER_CHIPS, PROFILE_ROI from __code.mcp_chips_corrector.alignment import Alignment +from __code.mcp_chips_corrector.get import Get class EventHandler: - y_axis_other_chip = None y_axis_working_chip = None - gap_index = 0 # width/2 (256) + gap_index = 0 # width/2 (256) y_axis_working_chip_mean = None y_axis_other_chip_mean = None @@ -32,8 +32,7 @@ def mcp_alignment_correction(self): setup_image = self.parent.o_corrector.integrated_data if self.parent.ui.apply_chips_alignment_correction.isChecked(): logging.info("-> apply chips alignment: True") - o_align = Alignment(parent=self.parent, - raw_image=setup_image) + o_align = Alignment(parent=self.parent, raw_image=setup_image) _image = o_align.correct() else: logging.info("-> apply chips alignment: False") @@ -53,8 +52,9 @@ def mcp_alignment_correction(self): self.parent.ui.alignment_view.setImage(_image) if not first_update: - _histo_widget.setLevels(self.parent.alignment_view_histogram_level[0], - self.parent.alignment_view_histogram_level[1]) + _histo_widget.setLevels( + self.parent.alignment_view_histogram_level[0], self.parent.alignment_view_histogram_level[1] + ) _view_box.setState(_state) @@ -83,47 +83,39 @@ def display_chip_border(self, chip_index=0): if chip_index == 0: x0, y0 = 0, 0 elif chip_index == 1: - x0 = int(image_width/2) + x0 = int(image_width / 2) y0 = 0 elif chip_index == 2: x0 = 0 - y0 = int(image_height/2) + y0 = int(image_height / 2) else: - x0 = int(image_width/2) - y0 = int(image_height/2) + x0 = int(image_width / 2) + y0 = int(image_height / 2) _pen = QPen() _pen.setColor(COLOR_CONTOUR) _pen.setWidthF(0.01) - _roi_id = pg.ROI([x0, y0], - [contour_width, contour_height], - pen=_pen, - scaleSnap=True, - movable=False) + _roi_id = pg.ROI([x0, y0], [contour_width, contour_height], pen=_pen, scaleSnap=True, movable=False) self.parent.setup_image_view.addItem(_roi_id) self.parent.contour_id = _roi_id def profile_type_changed(self): - if self.parent.profile_id: self.parent.setup_image_view.removeItem(self.parent.profile_id) profile_type = self.o_get.get_profile_type() - x0 = self.parent.profile[profile_type]['x0'] - y0 = self.parent.profile[profile_type]['y0'] - width = self.parent.profile[profile_type]['width'] - height = self.parent.profile[profile_type]['height'] + x0 = self.parent.profile[profile_type]["x0"] + y0 = self.parent.profile[profile_type]["y0"] + width = self.parent.profile[profile_type]["width"] + height = self.parent.profile[profile_type]["height"] pen = QPen() pen.setColor(PROFILE_ROI) pen.setWidthF(0.05) - profile_ui = pg.ROI([x0, y0], - [width, height], - scaleSnap=True, - pen=pen) + profile_ui = pg.ROI([x0, y0], [width, height], scaleSnap=True, pen=pen) profile_ui.addScaleHandle([0, 0.5], [0.5, 0]) profile_ui.addScaleHandle([0.5, 0], [0, 0]) self.parent.ui.setup_image_view.addItem(profile_ui) @@ -135,21 +127,23 @@ def profile_changed(self): roi_id = self.parent.profile_id x_y_width_height = Get.get_x_y_width_height_of_roi(roi_id=roi_id) profile_type = self.o_get.get_profile_type() - self.parent.profile[profile_type] = {'x0': x_y_width_height['x'], - 'y0': x_y_width_height['y'], - 'width': x_y_width_height['width'], - 'height': x_y_width_height['height']} + self.parent.profile[profile_type] = { + "x0": x_y_width_height["x"], + "y0": x_y_width_height["y"], + "width": x_y_width_height["width"], + "height": x_y_width_height["height"], + } def plot_profile(self): profile_type = self.o_get.get_profile_type() - x0 = self.parent.profile[profile_type]['x0'] - y0 = self.parent.profile[profile_type]['y0'] - width = self.parent.profile[profile_type]['width'] - height = self.parent.profile[profile_type]['height'] + x0 = self.parent.profile[profile_type]["x0"] + y0 = self.parent.profile[profile_type]["y0"] + width = self.parent.profile[profile_type]["width"] + height = self.parent.profile[profile_type]["height"] nbr_pixels_to_exclude_on_each_side_of_chips_gap = self.parent.nbr_pixels_to_exclude_on_each_side_of_chips_gap - data = self.parent.integrated_data[y0: y0+height, x0: x0+width] - if profile_type == 'horizontal': + data = self.parent.integrated_data[y0 : y0 + height, x0 : x0 + width] + if profile_type == "horizontal": axis = 0 start_value = x0 end_value = x0 + width @@ -167,52 +161,48 @@ def plot_profile(self): where_is_gap_in_x_axis = np.where(x_axis == gap_index) index_of_chip = self.o_get.get_index_of_chip_to_correct() - color_pen = Get.get_color_of_pen(gap_index=gap_index, - index_of_chip=index_of_chip, - profile_type=profile_type, - x0=x0, y0=y0, - x_axis=x_axis) + color_pen = Get.get_color_of_pen( + gap_index=gap_index, index_of_chip=index_of_chip, profile_type=profile_type, x0=x0, y0=y0, x_axis=x_axis + ) self.coefficient_corrector_can_be_calculated = False if len(where_is_gap_in_x_axis[0] > 0): "the inter chips space falls within the profile selected" - x_axis_other_chip, x_axis_working_chip, y_axis_other_chip, y_axis_working_chip = \ - Get.get_x_y_ranges(index_of_chip, profile_data, - profile_type, where_is_gap_in_x_axis, - x_axis, - nbr_pixels_to_exclude_on_each_side_of_chips_gap) + x_axis_other_chip, x_axis_working_chip, y_axis_other_chip, y_axis_working_chip = Get.get_x_y_ranges( + index_of_chip, + profile_data, + profile_type, + where_is_gap_in_x_axis, + x_axis, + nbr_pixels_to_exclude_on_each_side_of_chips_gap, + ) self.y_axis_other_chip = y_axis_other_chip self.y_axis_working_chip = y_axis_working_chip self.x_axis_working_chip = x_axis_working_chip self.x_axis_other_chip = x_axis_other_chip - self.parent.profile_view.plot(x_axis_working_chip, y_axis_working_chip, pen=color_pen, symbol='o') - self.parent.profile_view.plot(x_axis_other_chip, y_axis_other_chip, pen='w', symbol='o') + self.parent.profile_view.plot(x_axis_working_chip, y_axis_working_chip, pen=color_pen, symbol="o") + self.parent.profile_view.plot(x_axis_other_chip, y_axis_other_chip, pen="w", symbol="o") - if color_pen == 'r': + if color_pen == "r": self.coefficient_corrector_can_be_calculated = True else: - self.parent.profile_view.plot(x_axis, profile_data, pen=color_pen, symbol='o') + self.parent.profile_view.plot(x_axis, profile_data, pen=color_pen, symbol="o") pen = QPen() pen.setColor(INTER_CHIPS) pen.setWidthF(0.3) - line = pg.InfiniteLine(pos=self.parent.image_size.width/2, - angle=90, - pen=pen, - label="Inter Chips") + line = pg.InfiniteLine(pos=self.parent.image_size.width / 2, angle=90, pen=pen, label="Inter Chips") self.parent.profile_view.addItem(line) def calculate_coefficient_corrector(self): - if self.y_axis_other_chip is None: coefficient_corrector_s = "N/A" elif self.coefficient_corrector_can_be_calculated: - y_axis_working_chip = self.y_axis_working_chip y_axis_other_chip = self.y_axis_other_chip @@ -220,7 +210,7 @@ def calculate_coefficient_corrector(self): y_axis_other_chip_mean = np.nanmean(y_axis_other_chip) coefficient_corrector = y_axis_other_chip_mean / y_axis_working_chip_mean - coefficient_corrector_s = "{:.2f}".format(coefficient_corrector) + coefficient_corrector_s = f"{coefficient_corrector:.2f}" self.y_axis_working_chip_mean = y_axis_working_chip_mean self.y_axis_other_chip_mean = y_axis_other_chip_mean @@ -240,14 +230,14 @@ def plot_mean(self): x_axis_working_chip = self.x_axis_working_chip x_axis_other_chip = self.x_axis_other_chip - y_axis_other = np.ones((len(x_axis_other_chip))) * y_axis_other_chip_mean - y_axis_working = np.ones((len(x_axis_working_chip))) * y_axis_working_chip_mean + y_axis_other = np.ones(len(x_axis_other_chip)) * y_axis_other_chip_mean + y_axis_working = np.ones(len(x_axis_working_chip)) * y_axis_working_chip_mean - self.parent.profile_view.plot(x_axis_other_chip, y_axis_other, pen='w') - self.parent.profile_view.plot(x_axis_working_chip, y_axis_working, pen='w') + self.parent.profile_view.plot(x_axis_other_chip, y_axis_other, pen="w") + self.parent.profile_view.plot(x_axis_working_chip, y_axis_working, pen="w") def with_correction_tab(self): - if str(self.parent.ui.coefficient_corrector_lineEdit.text()) == 'N/A': + if str(self.parent.ui.coefficient_corrector_lineEdit.text()) == "N/A": self.parent.ui.contrast_tabWidget.setTabEnabled(1, False) return else: @@ -261,7 +251,6 @@ def calculate_contrast_image(self, raw_image=None): setup_image = copy.deepcopy(raw_image) if self.parent.ui.apply_contrast_correction_checkBox.isChecked(): - coefficient = float(str(self.parent.ui.coefficient_corrector_lineEdit.text())) index_of_chip_to_correct = self.o_get.get_index_of_chip_to_correct() gap_index = self.parent.image_size.gap_index @@ -287,12 +276,11 @@ def calculate_contrast_image(self, raw_image=None): from_y = gap_index to_y = self.parent.image_size.height - setup_image[from_y: to_y, from_x: to_x] *= coefficient + setup_image[from_y:to_y, from_x:to_x] *= coefficient return setup_image def display_contrast_image(self): - _view = self.parent.corrected_image_view.getView() _view_box = _view.getViewBox() _state = _view_box.getState() @@ -310,24 +298,21 @@ def display_contrast_image(self): _view_box.setState(_state) if not first_update: - _histo_widget.setLevels(self.parent.corrected_histogram_level[0], - self.parent.corrected_histogram_level[1]) + _histo_widget.setLevels(self.parent.corrected_histogram_level[0], self.parent.corrected_histogram_level[1]) def update_result_tab(self): - if str(self.parent.ui.coefficient_corrector_lineEdit.text()) == 'N/A': + if str(self.parent.ui.coefficient_corrector_lineEdit.text()) == "N/A": image_corrected = self.parent.setup_live_image else: image_corrected = self.calculate_contrast_image(raw_image=self.parent.setup_live_image) - o_align = Alignment(parent=self.parent, - raw_image=image_corrected) + o_align = Alignment(parent=self.parent, raw_image=image_corrected) _image = o_align.correct() _image = np.transpose(_image) self.parent.result_view.setImage(_image) def calculate_corrected_image(self, image=None): image_corrected = self.calculate_contrast_image(raw_image=image) - o_align = Alignment(parent=self.parent, - raw_image=image_corrected) + o_align = Alignment(parent=self.parent, raw_image=image_corrected) final_image = o_align.correct() return final_image @@ -335,7 +320,7 @@ def calculate_corrected_image(self, image=None): def check_export_button_status(self): export_button_enabled = True if self.parent.ui.apply_contrast_correction_checkBox.isChecked(): - if str(self.parent.ui.coefficient_corrector_lineEdit.text()) == 'N/A': + if str(self.parent.ui.coefficient_corrector_lineEdit.text()) == "N/A": export_button_enabled = False self.parent.ui.perform_correction_pushButton.setEnabled(export_button_enabled) diff --git a/notebooks/__code/mcp_chips_corrector/export.py b/notebooks/__code/mcp_chips_corrector/export.py index 14ba84f4..fc6f2975 100755 --- a/notebooks/__code/mcp_chips_corrector/export.py +++ b/notebooks/__code/mcp_chips_corrector/export.py @@ -1,30 +1,30 @@ -import os import logging -from qtpy.QtWidgets import QFileDialog -from qtpy.QtGui import QGuiApplication +import os from NeuNorm.normalization import Normalization +from qtpy.QtGui import QGuiApplication +from qtpy.QtWidgets import QFileDialog +from __code._utilities.file import make_or_reset_folder from __code.file_handler import get_file_extension from __code.mcp_chips_corrector.event_handler import EventHandler -from __code._utilities.file import make_or_reset_folder class Export: - def __init__(self, parent=None): self.parent = parent def correct_all_images(self): - export_folder = QFileDialog.getExistingDirectory(self.parent, - directory=self.parent.working_dir, - caption="Select output folder", - options=QFileDialog.ShowDirsOnly) + export_folder = QFileDialog.getExistingDirectory( + self.parent, + directory=self.parent.working_dir, + caption="Select output folder", + options=QFileDialog.ShowDirsOnly, + ) QGuiApplication.processEvents() # to close QFileDialog if export_folder: - base_input_folder = os.path.basename(os.path.abspath(self.parent.o_corrector.input_working_folder)) export_folder = os.path.join(export_folder, base_input_folder + "_corrected") make_or_reset_folder(export_folder) @@ -47,15 +47,13 @@ def correct_all_images(self): short_file_name = os.path.basename(working_list_files[_index_file]) file_extension = get_file_extension(short_file_name) - o_norm.data['sample']['file_name'] = [short_file_name] - o_norm.export(folder=export_folder, - data_type='sample', - file_type=file_extension) + o_norm.data["sample"]["file_name"] = [short_file_name] + o_norm.export(folder=export_folder, data_type="sample", file_type=file_extension) self.parent.eventProgress.setValue(_index_file + 1) QGuiApplication.processEvents() logging.info(f"-> exported file: {self.parent.o_corrector.working_list_files[_index_file]}") - self.parent.ui.statusbar.showMessage("Corrected images are in folder {}".format(export_folder), 10000) + self.parent.ui.statusbar.showMessage(f"Corrected images are in folder {export_folder}", 10000) self.parent.ui.statusbar.setStyleSheet("color: blue") self.parent.eventProgress.setVisible(False) diff --git a/notebooks/__code/mcp_chips_corrector/get.py b/notebooks/__code/mcp_chips_corrector/get.py index d14f6b07..76d581f8 100755 --- a/notebooks/__code/mcp_chips_corrector/get.py +++ b/notebooks/__code/mcp_chips_corrector/get.py @@ -1,4 +1,3 @@ -import numpy as np import os from os.path import expanduser @@ -6,7 +5,6 @@ class Get: - def __init__(self, parent=None): self.parent = parent @@ -22,9 +20,9 @@ def get_index_of_chip_to_correct(self): def get_profile_type(self): if self.parent.ui.horizontal_radioButton.isChecked(): - return 'horizontal' + return "horizontal" else: - return 'vertical' + return "vertical" def log_file_name(self): log_file_name = LOG_FILENAME @@ -32,59 +30,60 @@ def log_file_name(self): return full_log_file_name @staticmethod - def get_x_y_ranges(index_of_chip, - profile_data, - profile_type, - where_is_gap_in_x_axis, - x_axis, - nbr_pixels_to_exclude_on_each_side_of_chips_gap): - + def get_x_y_ranges( + index_of_chip, + profile_data, + profile_type, + where_is_gap_in_x_axis, + x_axis, + nbr_pixels_to_exclude_on_each_side_of_chips_gap, + ): where_is_gap = where_is_gap_in_x_axis[0][0] delta = nbr_pixels_to_exclude_on_each_side_of_chips_gap if index_of_chip == 0: - x_axis_working_chip = x_axis[0: where_is_gap - delta] - y_axis_working_chip = profile_data[0: where_is_gap - delta] - x_axis_other_chip = x_axis[where_is_gap + delta:] - y_axis_other_chip = profile_data[where_is_gap + delta:] + x_axis_working_chip = x_axis[0 : where_is_gap - delta] + y_axis_working_chip = profile_data[0 : where_is_gap - delta] + x_axis_other_chip = x_axis[where_is_gap + delta :] + y_axis_other_chip = profile_data[where_is_gap + delta :] elif index_of_chip == 1: - if profile_type == 'horizontal': - x_axis_working_chip = x_axis[where_is_gap + delta:] - y_axis_working_chip = profile_data[where_is_gap + delta:] - x_axis_other_chip = x_axis[0:where_is_gap - delta] - y_axis_other_chip = profile_data[0:where_is_gap - delta] + if profile_type == "horizontal": + x_axis_working_chip = x_axis[where_is_gap + delta :] + y_axis_working_chip = profile_data[where_is_gap + delta :] + x_axis_other_chip = x_axis[0 : where_is_gap - delta] + y_axis_other_chip = profile_data[0 : where_is_gap - delta] else: - x_axis_working_chip = x_axis[0: where_is_gap - delta] - y_axis_working_chip = profile_data[0: where_is_gap - delta] - x_axis_other_chip = x_axis[where_is_gap + delta:] - y_axis_other_chip = profile_data[where_is_gap + delta:] + x_axis_working_chip = x_axis[0 : where_is_gap - delta] + y_axis_working_chip = profile_data[0 : where_is_gap - delta] + x_axis_other_chip = x_axis[where_is_gap + delta :] + y_axis_other_chip = profile_data[where_is_gap + delta :] elif index_of_chip == 2: - if profile_type == 'horizontal': - x_axis_working_chip = x_axis[0: where_is_gap - delta] - y_axis_working_chip = profile_data[0: where_is_gap - delta] - x_axis_other_chip = x_axis[where_is_gap + delta:] - y_axis_other_chip = profile_data[where_is_gap + delta:] + if profile_type == "horizontal": + x_axis_working_chip = x_axis[0 : where_is_gap - delta] + y_axis_working_chip = profile_data[0 : where_is_gap - delta] + x_axis_other_chip = x_axis[where_is_gap + delta :] + y_axis_other_chip = profile_data[where_is_gap + delta :] else: x_axis_working_chip = x_axis[where_is_gap + delta :] - y_axis_working_chip = profile_data[where_is_gap + delta:] - x_axis_other_chip = x_axis[0:where_is_gap - delta] - y_axis_other_chip = profile_data[0:where_is_gap - delta] + y_axis_working_chip = profile_data[where_is_gap + delta :] + x_axis_other_chip = x_axis[0 : where_is_gap - delta] + y_axis_other_chip = profile_data[0 : where_is_gap - delta] elif index_of_chip == 3: - if profile_type == 'horizontal': - x_axis_working_chip = x_axis[where_is_gap + delta:] - y_axis_working_chip = profile_data[where_is_gap + delta:] - x_axis_other_chip = x_axis[0:where_is_gap - delta] - y_axis_other_chip = profile_data[0:where_is_gap - delta] + if profile_type == "horizontal": + x_axis_working_chip = x_axis[where_is_gap + delta :] + y_axis_working_chip = profile_data[where_is_gap + delta :] + x_axis_other_chip = x_axis[0 : where_is_gap - delta] + y_axis_other_chip = profile_data[0 : where_is_gap - delta] else: - x_axis_working_chip = x_axis[where_is_gap + delta:] - y_axis_working_chip = profile_data[where_is_gap + delta:] - x_axis_other_chip = x_axis[0:where_is_gap - delta] - y_axis_other_chip = profile_data[0:where_is_gap - delta] + x_axis_working_chip = x_axis[where_is_gap + delta :] + y_axis_working_chip = profile_data[where_is_gap + delta :] + x_axis_other_chip = x_axis[0 : where_is_gap - delta] + y_axis_other_chip = profile_data[0 : where_is_gap - delta] return x_axis_other_chip, x_axis_working_chip, y_axis_other_chip, y_axis_working_chip @staticmethod - def get_color_of_pen(gap_index=0, index_of_chip=0, profile_type='horizontal', x0=0, y0=0, x_axis=None): + def get_color_of_pen(gap_index=0, index_of_chip=0, profile_type="horizontal", x0=0, y0=0, x_axis=None): """ This method will give the color of the pen to use 'w' (white) or 'r' (red) according to the position of the profile. @@ -92,79 +91,76 @@ def get_color_of_pen(gap_index=0, index_of_chip=0, profile_type='horizontal', x0 will be 'r' """ if x_axis is None: - return 'w' + return "w" if index_of_chip == 0: if x_axis[0] > gap_index: - return 'w' + return "w" else: - if profile_type == 'horizontal': + if profile_type == "horizontal": if y0 < gap_index: - return 'r' + return "r" else: - return 'w' + return "w" else: if x0 < gap_index: - return 'r' + return "r" else: - return 'w' + return "w" elif index_of_chip == 1: - if profile_type == 'horizontal': + if profile_type == "horizontal": if x_axis[-1] < gap_index: - return 'w' + return "w" if y0 > gap_index: - return 'w' + return "w" else: - return 'r' + return "r" else: if x_axis[0] > gap_index: - return 'w' + return "w" if x0 < gap_index: - return 'r' + return "r" else: - return 'w' + return "w" elif index_of_chip == 2: - if profile_type == 'horizontal': + if profile_type == "horizontal": if x_axis[0] > gap_index: - return 'w' + return "w" if y0 < gap_index: - return 'w' + return "w" else: - return 'r' + return "r" else: if x_axis[-1] < gap_index: - return 'w' + return "w" if x0 > gap_index: - return 'w' + return "w" else: - return 'r' + return "r" elif index_of_chip == 3: - if profile_type == 'horizontal': + if profile_type == "horizontal": if x_axis[-1] < gap_index: - return 'w' + return "w" if y0 < gap_index: - return 'w' + return "w" else: - return 'r' + return "r" else: if x_axis[-1] < gap_index: - return 'w' + return "w" if x0 < gap_index: - return 'w' + return "w" else: - return 'r' + return "r" @staticmethod def get_x_y_width_height_of_roi(roi_id=None): x, y = roi_id.pos() width, height = roi_id.size() - return {'x' : int(x), - 'y' : int(y), - 'width' : int(width), - 'height': int(height)} + return {"x": int(x), "y": int(y), "width": int(width), "height": int(height)} @staticmethod def full_home_file_name(base_file_name): diff --git a/notebooks/__code/mcp_chips_corrector/initialization.py b/notebooks/__code/mcp_chips_corrector/initialization.py index 8d0f6bd8..5429414a 100755 --- a/notebooks/__code/mcp_chips_corrector/initialization.py +++ b/notebooks/__code/mcp_chips_corrector/initialization.py @@ -9,7 +9,7 @@ class ImageSize: gap_index = 0 def __init__(self, width=0, height=0): - gap_index = int(height/2) + gap_index = int(height / 2) self.gap_index = gap_index self.width = width self.height = height diff --git a/notebooks/__code/mcp_chips_corrector/interface.py b/notebooks/__code/mcp_chips_corrector/interface.py index 4fefe138..c8951578 100755 --- a/notebooks/__code/mcp_chips_corrector/interface.py +++ b/notebooks/__code/mcp_chips_corrector/interface.py @@ -1,18 +1,17 @@ -from qtpy.QtWidgets import QMainWindow -from IPython.display import HTML -import os -from IPython.display import display import logging +import os + +from IPython.display import HTML, display +from qtpy.QtWidgets import QMainWindow from __code import load_ui from __code.mcp_chips_corrector.event_handler import EventHandler -from __code.mcp_chips_corrector.initialization import Initialization -from __code.mcp_chips_corrector.get import Get from __code.mcp_chips_corrector.export import Export +from __code.mcp_chips_corrector.get import Get +from __code.mcp_chips_corrector.initialization import Initialization class Interface(QMainWindow): - # pyqtgraph views and profile setup_image_view = None corrected_image_view = None @@ -28,8 +27,8 @@ class Interface(QMainWindow): corrected_histogram_level = None # data - integrated_data = None # [512, 512] - working_data = None # [nbr_tof, 512, 512] + integrated_data = None # [512, 512] + working_data = None # [nbr_tof, 512, 512] # image size image_size = None @@ -38,9 +37,10 @@ class Interface(QMainWindow): contour_id = None # profile ROI - profile = {'horizontal': {'x0': 150, 'y0': 150, 'width': 100, 'height': 10}, - 'vertical': {'x0': 150, 'y0': 150, 'width': 10, 'height': 100}, - } + profile = { + "horizontal": {"x0": 150, "y0": 150, "width": 100, "height": 10}, + "vertical": {"x0": 150, "y0": 150, "width": 10, "height": 100}, + } profile_id = None nbr_pixels_to_exclude_on_each_side_of_chips_gap = 3 @@ -50,24 +50,30 @@ def __init__(self, parent=None, working_dir="", o_corrector=None): self.working_dir = working_dir self.o_corrector = o_corrector - display(HTML('Check UI that popped up \ - (maybe hidden behind this browser!)')) + display( + HTML( + 'Check UI that popped up \ + (maybe hidden behind this browser!)' + ) + ) super(Interface, self).__init__(parent) - ui_full_path = os.path.join(os.path.dirname(os.path.dirname(os.path.dirname(__file__))), - os.path.join('ui', - 'ui_mcp_chips_corrector.ui')) + ui_full_path = os.path.join( + os.path.dirname(os.path.dirname(os.path.dirname(__file__))), os.path.join("ui", "ui_mcp_chips_corrector.ui") + ) self.ui = load_ui(ui_full_path, baseinstance=self) self.setWindowTitle("MCP Chips Corrector") o_get = Get(parent=self) log_file_name = o_get.log_file_name() - logging.basicConfig(filename=log_file_name, - filemode='w', - format='[%(levelname)s] - %(asctime)s - %(message)s', - level=logging.INFO) # logging.INFO, logging.DEBUG + logging.basicConfig( + filename=log_file_name, + filemode="w", + format="[%(levelname)s] - %(asctime)s - %(message)s", + level=logging.INFO, + ) # logging.INFO, logging.DEBUG logging.info("*** Starting new session ***") o_init = Initialization(parent=self) diff --git a/notebooks/__code/mcp_chips_corrector/mcp_chips_corrector.py b/notebooks/__code/mcp_chips_corrector/mcp_chips_corrector.py index 22d5c44e..3548ea34 100755 --- a/notebooks/__code/mcp_chips_corrector/mcp_chips_corrector.py +++ b/notebooks/__code/mcp_chips_corrector/mcp_chips_corrector.py @@ -1,16 +1,14 @@ import glob import os -import numpy as np -from IPython.display import HTML -from IPython.display import display +import numpy as np +from IPython.display import HTML, display from NeuNorm.normalization import Normalization from __code.ipywe import fileselector class McpChipsCorrector: - working_data = None working_list_files = None @@ -20,28 +18,35 @@ def __init__(self, working_dir="./"): self.working_dir = working_dir def select_folder(self): - select_data = fileselector.FileSelectorPanel(instruction='Select MCP Folder ...', - start_dir=self.working_dir, - next=self.load_data, - type='directory', - multiple=False) + select_data = fileselector.FileSelectorPanel( + instruction="Select MCP Folder ...", + start_dir=self.working_dir, + next=self.load_data, + type="directory", + multiple=False, + ) select_data.show() def load_data(self, folder_selected): - full_list_files = glob.glob(os.path.join(folder_selected, '*.tif*')) + full_list_files = glob.glob(os.path.join(folder_selected, "*.tif*")) full_list_files.sort() - working_list_files = [file for file in full_list_files if not "_SummedImg.fits" in file] + working_list_files = [file for file in full_list_files if "_SummedImg.fits" not in file] o_norm = Normalization() o_norm.load(file=working_list_files, notebook=True) self.input_working_folder = folder_selected self.working_list_files = working_list_files - self.working_data = o_norm.data['sample']['data'] + self.working_data = o_norm.data["sample"]["data"] # create integrated data set self.integrated_data = np.sum(self.working_data, axis=0) - display(HTML('' + str(len(working_list_files)+1) + \ - ' files have been loaded')) + display( + HTML( + '' + + str(len(working_list_files) + 1) + + " files have been loaded" + ) + ) diff --git a/notebooks/__code/metadata_ascii_parser.py b/notebooks/__code/metadata_ascii_parser.py index 7056add3..b284f477 100755 --- a/notebooks/__code/metadata_ascii_parser.py +++ b/notebooks/__code/metadata_ascii_parser.py @@ -1,33 +1,28 @@ import codecs -import time import datetime +import os +import time + import inflect -from ipywidgets import widgets -from IPython.display import display -from IPython.display import HTML import numpy as np -import os import pandas as pd +from IPython.display import HTML, display +from ipywidgets import widgets -from __code.file_handler import get_file_extension -from __code.file_handler import make_ascii_file_from_string -from __code.file_handler import force_file_extension +from __code.file_handler import force_file_extension, get_file_extension, make_ascii_file_from_string from __code.ipywe import fileselector -class MetadataAsciiParser(object): - - metadata_file = '' +class MetadataAsciiParser: + metadata_file = "" - def __init__(self, working_dir='./'): + def __init__(self, working_dir="./"): self.working_dir = working_dir def select_folder(self, instruction="Select Input Folder ...", next=None): - - self.input_folder_ui = fileselector.FileSelectorPanel(instruction=instruction, - start_dir=self.working_dir, - type='directory', - next=next) + self.input_folder_ui = fileselector.FileSelectorPanel( + instruction=instruction, start_dir=self.working_dir, type="directory", next=next + ) self.input_folder_ui.show() def save_metadata_file(self, filename): @@ -35,26 +30,29 @@ def save_metadata_file(self, filename): def select_metadata_file(self): _instruction = "Select Metadata File ..." - self.metadata_ui = fileselector.FileSelectorPanel(instruction=_instruction, - start_dir=self.working_dir, - next=self.save_metadata_file) + self.metadata_ui = fileselector.FileSelectorPanel( + instruction=_instruction, start_dir=self.working_dir, next=self.save_metadata_file + ) self.metadata_ui.show() -class Metadata(): +class Metadata: nbr_row_metadata = -1 - def __init__(self, - filename='', - reference_line_showing_end_of_metadata='Number of loops', - end_of_metadata_after_how_many_lines_from_reference_line=1): + def __init__( + self, + filename="", + reference_line_showing_end_of_metadata="Number of loops", + end_of_metadata_after_how_many_lines_from_reference_line=1, + ): self.filename = filename self.reference_line_showing_end_of_metadata = reference_line_showing_end_of_metadata - self.end_of_metadata_after_how_many_lines_from_reference_line = end_of_metadata_after_how_many_lines_from_reference_line + self.end_of_metadata_after_how_many_lines_from_reference_line = ( + end_of_metadata_after_how_many_lines_from_reference_line + ) def calculate_nbr_row_metadata(self): - file_handler = codecs.open( - self.filename, 'r', encoding='utf_8', errors='ignore') + file_handler = codecs.open(self.filename, "r", encoding="utf_8", errors="ignore") for _row_index, _row in enumerate(file_handler.readlines()): if self.reference_line_showing_end_of_metadata in _row: @@ -65,27 +63,27 @@ class TimeInfoColumn: """this will allow to figure out where the time info is in the big table""" index = -1 - label = '' + label = "" - def __init__(self, index=-1, label=''): + def __init__(self, index=-1, label=""): self.index = index self.label = label -class MPTFileParser(object): +class MPTFileParser: nbr_row_metadata = -1 metadata_dict = { - 'Acquisition started on': { - "split1": ' : ', - "split2": '', - "value": '', + "Acquisition started on": { + "split1": " : ", + "split2": "", + "value": "", }, - 'Electrode surface area': { - "split1": ' : ', - "split2": ' ', - "value": '', - "units": '', + "Electrode surface area": { + "split1": " : ", + "split2": " ", + "value": "", + "units": "", }, } @@ -93,15 +91,18 @@ class MPTFileParser(object): time_info_column = None # TimeInfoColumn object time_column = [] - def __init__(self, - filename='', - time_info_column=None, - reference_line_showing_end_of_metadata='Number of loops', - end_of_metadata_after_how_many_lines_from_reference_line=1, - ): + def __init__( + self, + filename="", + time_info_column=None, + reference_line_showing_end_of_metadata="Number of loops", + end_of_metadata_after_how_many_lines_from_reference_line=1, + ): self.filename = filename self.reference_line_showing_end_of_metadata = reference_line_showing_end_of_metadata - self.end_of_metadata_after_how_many_lines_from_reference_line = end_of_metadata_after_how_many_lines_from_reference_line + self.end_of_metadata_after_how_many_lines_from_reference_line = ( + end_of_metadata_after_how_many_lines_from_reference_line + ) self.time_info_column = time_info_column self.evaluate_nbr_row_metadata() @@ -113,15 +114,16 @@ def __init__(self, # self.remove_time_info_column() def add_acquisition_started_time_to_timestamp(self): - str_acquisition_time = self.metadata_dict['Acquisition started on']['value'] + str_acquisition_time = self.metadata_dict["Acquisition started on"]["value"] timestamp = time.mktime(datetime.datetime.strptime(str_acquisition_time, "%m/%d/%Y %H:%M:%S").timetuple()) new_column_values = self.o_pd.index.values + timestamp self.o_pd = self.o_pd.set_index(new_column_values) - #user friendly time stamp format - user_format = [datetime.datetime.fromtimestamp(_time).strftime('%m/%d/%Y %H:%M:%S') - for _time in self.o_pd.index.values] - self.o_pd['timestamp_user_format'] = pd.Series(user_format, index=self.o_pd.index) + # user friendly time stamp format + user_format = [ + datetime.datetime.fromtimestamp(_time).strftime("%m/%d/%Y %H:%M:%S") for _time in self.o_pd.index.values + ] + self.o_pd["timestamp_user_format"] = pd.Series(user_format, index=self.o_pd.index) def set_time_info_as_index(self): time_info_column = self.time_info_column @@ -160,9 +162,11 @@ def set_time_info_as_index(self): # self.list_columns = list_columns def evaluate_nbr_row_metadata(self): - o_metadata = Metadata(filename=self.filename, - reference_line_showing_end_of_metadata=self.reference_line_showing_end_of_metadata, - end_of_metadata_after_how_many_lines_from_reference_line=self.end_of_metadata_after_how_many_lines_from_reference_line) + o_metadata = Metadata( + filename=self.filename, + reference_line_showing_end_of_metadata=self.reference_line_showing_end_of_metadata, + end_of_metadata_after_how_many_lines_from_reference_line=self.end_of_metadata_after_how_many_lines_from_reference_line, + ) o_metadata.calculate_nbr_row_metadata() self.nbr_row_metadata = o_metadata.nbr_row_metadata @@ -184,15 +188,15 @@ def keep_only_columns_of_data_of_interest(self, list_columns_names=[]): def read_data(self): o_pd = pd.read_csv( self.filename, - sep='\t', - encoding='iso8859_5', + sep="\t", + encoding="iso8859_5", error_bad_lines=False, skiprows=self.nbr_row_metadata, ) self.o_pd = o_pd def read_metadata(self): - fdata = codecs.open(self.filename, 'r', encoding='utf-8', errors='ignore') + fdata = codecs.open(self.filename, "r", encoding="utf-8", errors="ignore") metadata = [] for _row in np.arange(self.nbr_row_metadata): @@ -205,38 +209,37 @@ def read_specific_metadata(self): for _keys in self.metadata_dict.keys(): for _line in self.metadata: if _keys in _line: - result = _line.split( - self.metadata_dict[_keys]['split1']) # 1st split - if not self.metadata_dict[_keys]['split2']: - self.metadata_dict[_keys]['value'] = result[1].strip() + result = _line.split(self.metadata_dict[_keys]["split1"]) # 1st split + if not self.metadata_dict[_keys]["split2"]: + self.metadata_dict[_keys]["value"] = result[1].strip() else: # 2nd split - [value, units] = result[1].strip().split( - self.metadata_dict[_keys]['split2']) - self.metadata_dict[_keys]['value'] = value.strip() - self.metadata_dict[_keys]['units'] = units.strip() + [value, units] = result[1].strip().split(self.metadata_dict[_keys]["split2"]) + self.metadata_dict[_keys]["value"] = value.strip() + self.metadata_dict[_keys]["units"] = units.strip() -class MetadataFileParser(object): +class MetadataFileParser: """This class will parse the entire file and isolate the metadata and data. Then the time/s column will be used as index, the list of the columns left will be returned in order for the user to select the columns he wants to keep. Once those selected, a new pandas object of only the columns of interst and time/s as index will be created""" - filename = '' - meta_type = '' + filename = "" + meta_type = "" data_to_keep = [] data = [] metadata = [] - def __init__(self, - filename='', - meta_type='', - time_label='time/s', - time_index=-1, - reference_line_showing_end_of_metadata='Number of loops', - end_of_metadata_after_how_many_lines_from_reference_line=1, - ): + def __init__( + self, + filename="", + meta_type="", + time_label="time/s", + time_index=-1, + reference_line_showing_end_of_metadata="Number of loops", + end_of_metadata_after_how_many_lines_from_reference_line=1, + ): """ Arguments: * filename: ascii input file name to parse @@ -260,7 +263,7 @@ def get_list_columns(self): return list(self.meta.o_pd.columns.values) def parse(self): - if self.meta_type == 'mpt': + if self.meta_type == "mpt": time_info_column = TimeInfoColumn(label=self.time_label, index=self.time_index) o_mpt = MPTFileParser(filename=self.filename, time_info_column=time_info_column) self.meta = o_mpt @@ -272,7 +275,7 @@ def keep_only_columns_of_data_of_interest(self, list_columns_names=[]): list_columns_names = list(self.box.children[1].value) if list_columns_names: - self.data_to_keep = self.meta.keep_only_columns_of_data_of_interest(list_columns_names=list_columns_names) + self.data_to_keep = self.meta.keep_only_columns_of_data_of_interest(list_columns_names=list_columns_names) else: self.data_to_keep = [] @@ -290,68 +293,73 @@ def get_data(self): def get_data_column_names(self): raw_list = list(self.meta.o_pd.columns.values) # remove 'timestamp_user_format' - clean_list = [_name for _name in raw_list if _name != 'timestamp_user_format'] + clean_list = [_name for _name in raw_list if _name != "timestamp_user_format"] return clean_list def select_data_to_keep(self, default_selection=[-1]): - # names of the columns in the data part list_columns = self.get_data_column_names() # what to select by default when showing the widget default_value = [list_columns[_index] for _index in default_selection] - self.box = widgets.HBox([widgets.Label("Select Metadata(s) to Keep:", - layout=widgets.Layout(width='30%'), - ), - widgets.SelectMultiple(options=list_columns, - value=default_value, - rows=10, - layout=widgets.Layout(width='30%')), - ]) + self.box = widgets.HBox( + [ + widgets.Label( + "Select Metadata(s) to Keep:", + layout=widgets.Layout(width="30%"), + ), + widgets.SelectMultiple( + options=list_columns, value=default_value, rows=10, layout=widgets.Layout(width="30%") + ), + ] + ) display(self.box) - def select_output_location(self, default_filename=''): - - if default_filename == '': + def select_output_location(self, default_filename=""): + if default_filename == "": [filename, ext] = os.path.splitext(self.short_filename) [_, nbr_columns] = np.shape(self.data_to_keep) p = inflect.engine() - default_filename = filename + '_{}'.format(nbr_columns) + p.plural("column", nbr_columns) - - self.box2 = widgets.HBox([widgets.Label("Output File Name:", - layout=widgets.Layout(width='20%')), - widgets.Text(default_filename, - layout=widgets.Layout(width='70%')), - widgets.Label(".txt", - layout=widgets.Layout(width='10%'))]) + default_filename = filename + f"_{nbr_columns}" + p.plural("column", nbr_columns) + + self.box2 = widgets.HBox( + [ + widgets.Label("Output File Name:", layout=widgets.Layout(width="20%")), + widgets.Text(default_filename, layout=widgets.Layout(width="70%")), + widgets.Label(".txt", layout=widgets.Layout(width="10%")), + ] + ) display(self.box2) - o_folder = MetadataAsciiParser(working_dir = self.working_dir) - o_folder.select_folder(instruction = 'Select Output Folder:', - next=self.__export_table) + o_folder = MetadataAsciiParser(working_dir=self.working_dir) + o_folder.select_folder(instruction="Select Output Folder:", next=self.__export_table) def __export_table(self, folder): - - display(HTML('You selected the metadata file: ' + - self.filename + '!')) + display( + HTML( + 'You selected the metadata file: ' + + self.filename + + "!" + ) + ) display(HTML('Work in progress! ... ')) output_filename = self.box2.children[1].value - output_filename = force_file_extension(output_filename, '.txt') + output_filename = force_file_extension(output_filename, ".txt") self.box2.close() # record metadata selected metadata_name_selected = np.array(self.box.children[1].value) - metadata_name_selected = np.append(metadata_name_selected, 'timestamp_user_format') + metadata_name_selected = np.append(metadata_name_selected, "timestamp_user_format") data = self.get_data() self.data_to_export = data[metadata_name_selected] self.export_table(data=self.data_to_export, folder=folder, filename=output_filename) - def export_table(self, data=None, folder='', filename=''): + def export_table(self, data=None, folder="", filename=""): full_output_filename = os.path.join(os.path.abspath(folder), filename) # reformat data @@ -366,36 +374,38 @@ def export_table(self, data=None, folder='', filename=''): display(HTML('Done!')) - display(HTML('Output file created: ' + - full_output_filename + '')) + display( + HTML('Output file created: ' + full_output_filename + "") + ) if __name__ == "__main__": - import glob import platform - if platform.node() == 'mac95470': - git_dir = os.path.abspath('~/git/') + if platform.node() == "mac95470": + git_dir = os.path.abspath("~/git/") else: - git_dir = '/Volumes/my_book_thunderbolt_duo/git/' + git_dir = "/Volumes/my_book_thunderbolt_duo/git/" # testing mpt files - metadata_list_files = glob.glob(git_dir + '/standards/ASCII/*.mpt') + metadata_list_files = glob.glob(git_dir + "/standards/ASCII/*.mpt") for _index_file, _file in enumerate(metadata_list_files): metadata_file = _file if os.path.exists(metadata_file): - print("working with file: {}".format(metadata_file)) + print(f"working with file: {metadata_file}") else: - print("Failed to work with file: {}".format(metadata_file)) - - print("Running MetadataFileParser ...", end='\r') - o_meta = MetadataFileParser(filename=metadata_file, - meta_type='mpt', - time_label='time/s', - reference_line_showing_end_of_metadata='Number of loops', - end_of_metadata_after_how_many_lines_from_reference_line=1) + print(f"Failed to work with file: {metadata_file}") + + print("Running MetadataFileParser ...", end="\r") + o_meta = MetadataFileParser( + filename=metadata_file, + meta_type="mpt", + time_label="time/s", + reference_line_showing_end_of_metadata="Number of loops", + end_of_metadata_after_how_many_lines_from_reference_line=1, + ) o_meta.parse() print("MetadataFileParser ... Done! ") @@ -403,5 +413,5 @@ def export_table(self, data=None, folder='', filename=''): o_meta.add_time_offset(time_offset_s=2000) o_meta.meta.o_pd - print("Done working with file: {}".format(metadata_file)) - print("") \ No newline at end of file + print(f"Done working with file: {metadata_file}") + print("") diff --git a/notebooks/__code/metadata_handler.py b/notebooks/__code/metadata_handler.py index 3d7787da..4489882f 100755 --- a/notebooks/__code/metadata_handler.py +++ b/notebooks/__code/metadata_handler.py @@ -1,16 +1,16 @@ -from PIL import Image import datetime import os from collections import OrderedDict -from ipywidgets import widgets + from IPython.display import display +from ipywidgets import widgets +from PIL import Image -class MetadataHandler(object): +class MetadataHandler: @staticmethod - def get_time_stamp(file_name='', ext='tif'): - - if ext == 'tif': + def get_time_stamp(file_name="", ext="tif"): + if ext == "tif": try: o_image = Image.open(file_name) o_dict = dict(o_image.tag_v2) @@ -25,15 +25,14 @@ def get_time_stamp(file_name='', ext='tif'): except: time_stamp = os.path.getmtime(file_name) - elif ext == 'fits': + elif ext == "fits": time_stamp = os.path.getmtime(file_name) - elif ext == 'jpg': - #time_stamp = os.path.getctime(file_name) + elif ext == "jpg": + # time_stamp = os.path.getctime(file_name) time_stamp = os.path.getmtime(file_name) - else: - raise NotImplemented + raise NotImplementedError return time_stamp @@ -64,7 +63,7 @@ def _convert_epics_timestamp_to_rfc3339_timestamp(epics_timestamp): return unix_epoch_timestamp @staticmethod - def get_metata(filename='', list_metadata=[]): + def get_metata(filename="", list_metadata=[]): if filename == "": return {} @@ -78,7 +77,7 @@ def get_metata(filename='', list_metadata=[]): return result @staticmethod - def get_metadata(filename='', list_metadata=[], using_enum_object=False): + def get_metadata(filename="", list_metadata=[], using_enum_object=False): if filename == "": return {} @@ -103,15 +102,15 @@ def retrieve_metadata(list_files=[], list_metadata=[], using_enum_object=False): _dict = OrderedDict() for _file in list_files: - _meta = MetadataHandler.get_metadata(filename=_file, - list_metadata=list_metadata, - using_enum_object=using_enum_object) + _meta = MetadataHandler.get_metadata( + filename=_file, list_metadata=list_metadata, using_enum_object=using_enum_object + ) _dict[_file] = _meta return _dict @staticmethod - def get_value_of_metadata_key(filename='', list_key=None): + def get_value_of_metadata_key(filename="", list_key=None): if filename == "": return {} @@ -135,15 +134,12 @@ def retrieve_value_of_metadata_key(list_files=[], list_key=[], is_from_notebook= return {} if is_from_notebook: - progress_bar = widgets.IntProgress(min=0, - max=len(list_files)-1, - value=0) + progress_bar = widgets.IntProgress(min=0, max=len(list_files) - 1, value=0) display(progress_bar) _dict = OrderedDict() for _index, _file in enumerate(list_files): - _meta = MetadataHandler.get_value_of_metadata_key(filename=_file, - list_key=list_key) + _meta = MetadataHandler.get_value_of_metadata_key(filename=_file, list_key=list_key) _dict[_file] = _meta if is_from_notebook: progress_bar.value = _index diff --git a/notebooks/__code/metadata_overlapping_images/__init__.py b/notebooks/__code/metadata_overlapping_images/__init__.py index 22bd18ee..c93c1c49 100755 --- a/notebooks/__code/metadata_overlapping_images/__init__.py +++ b/notebooks/__code/metadata_overlapping_images/__init__.py @@ -1,2 +1,2 @@ HELP_PAGE = "https://neutronimaging.pages.ornl.gov/tutorial/notebooks/metadata_overlapping_images/" -LIST_FUNNY_CHARACTERS = "~!@#$%^&*()_+<>?,./'{}|[]\\" \ No newline at end of file +LIST_FUNNY_CHARACTERS = "~!@#$%^&*()_+<>?,./'{}|[]\\" diff --git a/notebooks/__code/metadata_overlapping_images/advanced_table_handler.py b/notebooks/__code/metadata_overlapping_images/advanced_table_handler.py index eb7e50d7..8c1b644a 100755 --- a/notebooks/__code/metadata_overlapping_images/advanced_table_handler.py +++ b/notebooks/__code/metadata_overlapping_images/advanced_table_handler.py @@ -1,32 +1,32 @@ -from qtpy.QtWidgets import QMainWindow, QWidget, QHBoxLayout, QLineEdit, QLabel import os + import numpy as np from PIL import Image +from qtpy.QtWidgets import QHBoxLayout, QLabel, QLineEdit, QMainWindow, QWidget from __code import load_ui from __code._utilities.table_handler import TableHandler class AdvancedTableHandler(QMainWindow): - list_formula_tableWidget_labels = [] list_metatata_index_selected = [] list_lineedit_ui_in_formula_tableWidget = [] - formula_table_cell_size = {'row': 50, - 'column': 200} + formula_table_cell_size = {"row": 50, "column": 200} def __init__(self, parent=None): self.parent = parent super(AdvancedTableHandler, self).__init__(parent) - ui_full_path = os.path.join(os.path.dirname(os.path.dirname(os.path.dirname(__file__))), - os.path.join('ui', 'ui_metadata_overlapping_images_advanced_table.ui')) + ui_full_path = os.path.join( + os.path.dirname(os.path.dirname(os.path.dirname(__file__))), + os.path.join("ui", "ui_metadata_overlapping_images_advanced_table.ui"), + ) self.ui = load_ui(ui_full_path, baseinstance=self) # initialization - o_init = Initialization(parent=self, - top_parent=self.parent) + o_init = Initialization(parent=self, top_parent=self.parent) o_init.all() def add_metadata(self): @@ -36,7 +36,7 @@ def add_metadata(self): if ":" in metadata_value: name, value_str = metadata_value.split(":") try: - value = np.float(value_str) + value = float(value_str) except ValueError: self.ui.statusbar.showMessage("This metadata can not be used - not a float value!", 10000) self.ui.statusbar.setStyleSheet("color: red") @@ -58,7 +58,7 @@ def coefficient_changed(self): def update_tableWidget(self): list_metadata_index_selected = self.list_metatata_index_selected - list_files = self.parent.data_dict['file_name'] + list_files = self.parent.data_dict["file_name"] list_lineedit_ui_in_formula_tableWidget = self.list_lineedit_ui_in_formula_tableWidget o_table = TableHandler(table_ui=self.ui.tableWidget) @@ -77,15 +77,15 @@ def update_tableWidget(self): if ":" in str(value): name, value_str = value.split(":") try: - value = np.float(value_str) + value = float(value_str) except ValueError: self.ui.statusbar.showMessage("This metadata can not be used - not a float value!", 10000) self.ui.statusbar.setStyleSheet("color: red") return - value = np.float(value) + value = float(value) try: - coefficient = np.float(list_lineedit_ui_in_formula_tableWidget[_column].text()) + coefficient = float(list_lineedit_ui_in_formula_tableWidget[_column].text()) except ValueError: self.ui.statusbar.showMessage(f"Coefficient in column {_column} is wrong!", 10000) self.ui.statusbar.setStyleSheet("color: red") @@ -93,7 +93,7 @@ def update_tableWidget(self): global_value += coefficient * value if there_is_at_least_one_column: - o_table.insert_item(row=_row, column=1,value=global_value, editable=False) + o_table.insert_item(row=_row, column=1, value=global_value, editable=False) self.ui.statusbar.showMessage("Table refreshed with new formula!", 10000) self.ui.statusbar.setStyleSheet("color: green") @@ -108,7 +108,7 @@ def add_metadata_to_formula_table(self, name="", value=""): hbox = QHBoxLayout() if nbr_column > 0: - label = QLabel(f"+") + label = QLabel("+") hbox.addWidget(label) coeff_field = QLineEdit("1") @@ -122,7 +122,7 @@ def add_metadata_to_formula_table(self, name="", value=""): widget.setLayout(hbox) o_table.insert_widget(row=0, column=nbr_column, widget=widget) - column_width = np.ones((nbr_column + 1)) * self.formula_table_cell_size['column'] + column_width = np.ones(nbr_column + 1) * self.formula_table_cell_size["column"] o_table.set_column_width(column_width=column_width) self.list_formula_tableWidget_labels.append(name) @@ -135,9 +135,9 @@ def remove_metadata(self): if column_selected == -1: return - del(self.list_formula_tableWidget_labels[column_selected]) - del(self.list_metatata_index_selected[column_selected]) - del(self.list_lineedit_ui_in_formula_tableWidget[column_selected]) + del self.list_formula_tableWidget_labels[column_selected] + del self.list_metatata_index_selected[column_selected] + del self.list_lineedit_ui_in_formula_tableWidget[column_selected] o_table.remove_column(column=column_selected) self.update_tableWidget() if o_table.column_count() == 0: @@ -158,7 +158,6 @@ def ok_clicked(self): class Initialization: - def __init__(self, parent=None, top_parent=None): self.parent = parent self.top_parent = top_parent @@ -174,12 +173,12 @@ def list_of_metadata(self): def file_name_value_table(self): o_table = TableHandler(table_ui=self.parent.ui.tableWidget) - list_files_full_name = self.top_parent.data_dict['file_name'] + list_files_full_name = self.top_parent.data_dict["file_name"] list_files_short_name = [os.path.basename(_file) for _file in list_files_full_name] o_table.insert_empty_column(0) o_table.insert_empty_column(1) - o_table.set_column_names(column_names=['File Name', 'Value']) + o_table.set_column_names(column_names=["File Name", "Value"]) for _row, _file in enumerate(list_files_short_name): o_table.insert_empty_row(_row) @@ -189,4 +188,4 @@ def file_name_value_table(self): def formula_table(self): o_table = TableHandler(table_ui=self.parent.ui.formula_tableWidget) - o_table.set_row_height(row_height=[self.parent.formula_table_cell_size['row']]) + o_table.set_row_height(row_height=[self.parent.formula_table_cell_size["row"]]) diff --git a/notebooks/__code/metadata_overlapping_images/display.py b/notebooks/__code/metadata_overlapping_images/display.py index b1a06560..84715784 100755 --- a/notebooks/__code/metadata_overlapping_images/display.py +++ b/notebooks/__code/metadata_overlapping_images/display.py @@ -1,13 +1,12 @@ -from skimage import transform import numpy as np import pyqtgraph as pg +from skimage import transform from .get import Get -from .utilities import string_cleaning, linear_operation +from .utilities import linear_operation, string_cleaning class DisplayImages: - def __init__(self, parent=None, recalculate_image=False): self.parent = parent self.recalculate_image = recalculate_image @@ -20,9 +19,11 @@ def get_image_selected(self, recalculate_image=False): if recalculate_image: angle = self.parent.rotation_angle # rotate all images - self.parent.data_dict['data'] = [transform.rotate(_image, angle) for _image in self.parent.data_dict_raw['data']] + self.parent.data_dict["data"] = [ + transform.rotate(_image, angle) for _image in self.parent.data_dict_raw["data"] + ] - _image = self.parent.data_dict['data'][slider_index] + _image = self.parent.data_dict["data"][slider_index] return _image def images(self): @@ -47,12 +48,10 @@ def images(self): class DisplayScalePyqtUi: - def __init__(self, parent=None): self.parent = parent def clear_pyqt_items(self, view=None): - if view is None: view = self.parent.ui.image_view @@ -68,7 +67,6 @@ def clear_pyqt_items(self, view=None): self.parent.ui.image_view.removeItem(self.parent.scale_legend_pyqt_ui) def run(self, save_it=True): - view = self.parent.ui.image_view self.clear_pyqt_items() @@ -87,7 +85,7 @@ def run(self, save_it=True): one_edge = [x0, y0] if self.parent.ui.scale_horizontal_orientation.isChecked(): - other_edge = [x0+size, y0] + other_edge = [x0 + size, y0] angle = 0 legend_x0 = x0 legend_y0 = y0 @@ -105,23 +103,19 @@ def run(self, save_it=True): adj = np.array(adj) o_get = Get(parent=self.parent) - line_color = np.array(o_get.color(color_type='rgba', source='scale')) + line_color = np.array(o_get.color(color_type="rgba", source="scale")) line_color[4] = thickness list_line_color = list(line_color) line_color = tuple(list_line_color) - lines = np.array([line_color for n in np.arange(len(pos))], - dtype=[('red', np.ubyte), ('green', np.ubyte), - ('blue', np.ubyte), ('alpha', np.ubyte), - ('width', float)]) + lines = np.array( + [line_color for n in np.arange(len(pos))], + dtype=[("red", np.ubyte), ("green", np.ubyte), ("blue", np.ubyte), ("alpha", np.ubyte), ("width", float)], + ) scale = pg.GraphItem() view.addItem(scale) - scale.setData(pos=pos, - adj=adj, - pen=lines, - symbol=None, - pxMod=False) + scale.setData(pos=pos, adj=adj, pen=lines, symbol=None, pxMod=False) if save_it: self.parent.scale_pyqt_ui = scale @@ -129,10 +123,11 @@ def run(self, save_it=True): # legend o_get = Get(parent=self.parent) legend = o_get.scale_legend() - color = o_get.color(source='scale', color_type='html') - text = pg.TextItem(html='
' + \ - legend + '
', - angle=angle) + color = o_get.color(source="scale", color_type="html") + text = pg.TextItem( + html='
' + legend + "
", + angle=angle, + ) view.addItem(text) text.setPos(legend_x0, legend_y0) @@ -141,23 +136,24 @@ def run(self, save_it=True): class DisplayMetadataPyqtUi: - def __init__(self, parent=None): self.parent = parent - self.list_ui = {1: {'font_size_slider': self.parent.ui.font_size_slider, - 'position_x': self.parent.ui.metadata_position_x, - 'position_y': self.parent.ui.metadata_position_y, - 'enable_ui': self.parent.ui.checkBox, - }, - 2: {'font_size_slider': self.parent.ui.font_size_slider_2, - 'position_x': self.parent.ui.metadata_position_x_2, - 'position_y': self.parent.ui.metadata_position_y_2, - 'enable_ui': self.parent.ui.checkBox_2, - }, - } + self.list_ui = { + 1: { + "font_size_slider": self.parent.ui.font_size_slider, + "position_x": self.parent.ui.metadata_position_x, + "position_y": self.parent.ui.metadata_position_y, + "enable_ui": self.parent.ui.checkBox, + }, + 2: { + "font_size_slider": self.parent.ui.font_size_slider_2, + "position_x": self.parent.ui.metadata_position_x_2, + "position_y": self.parent.ui.metadata_position_y_2, + "enable_ui": self.parent.ui.checkBox_2, + }, + } def clear_pyqt_items(self, view=None): - if view is None: view = self.parent.ui.image_view @@ -187,24 +183,31 @@ def run(self, save_it=True): self.display_graph(save_it=save_it) def display_text(self, save_it=True, metadata_index=1): - - if not self.list_ui[metadata_index]['enable_ui'].isChecked(): + if not self.list_ui[metadata_index]["enable_ui"].isChecked(): return view = self.parent.ui.image_view - font_size = self.list_ui[metadata_index]['font_size_slider'].value() - x0 = self.list_ui[metadata_index]['position_x'].value() - y0 = self.list_ui[metadata_index]['position_y'].maximum() - self.list_ui[metadata_index]['position_y'].value() + font_size = self.list_ui[metadata_index]["font_size_slider"].value() + x0 = self.list_ui[metadata_index]["position_x"].value() + y0 = self.list_ui[metadata_index]["position_y"].maximum() - self.list_ui[metadata_index]["position_y"].value() o_get = Get(parent=self.parent) metadata_text = o_get.metadata_text(metadata_index=metadata_index) - color = o_get.color(source='metadata', color_type='html') - text = pg.TextItem(html='
' + - ' ' + - '' + metadata_text + '
') + color = o_get.color(source="metadata", color_type="html") + text = pg.TextItem( + html='
' + + ' ' + + '" + + metadata_text + + "
" + ) view.addItem(text) text.setPos(x0, y0) @@ -218,41 +221,37 @@ def display_text(self, save_it=True, metadata_index=1): def clean_and_format_x_axis(self, x_axis=None): x_axis_column_index = self.parent.x_axis_column_index metadata_operation = self.parent.metadata_operation[x_axis_column_index] - x_axis = self.clean_and_format_axis(metadata_operation=metadata_operation, - input_axis=x_axis) + x_axis = self.clean_and_format_axis(metadata_operation=metadata_operation, input_axis=x_axis) return x_axis def clean_and_format_y_axis(self, y_axis=None): y_axis_column_index = self.parent.y_axis_column_index metadata_operation = self.parent.metadata_operation[y_axis_column_index] - y_axis = self.clean_and_format_axis(metadata_operation=metadata_operation, - input_axis=y_axis) + y_axis = self.clean_and_format_axis(metadata_operation=metadata_operation, input_axis=y_axis) return y_axis - def clean_and_format_axis(self, metadata_operation=None, - input_axis=None): - - first_part_of_string_to_remove = metadata_operation['first_part_of_string_to_remove'] - last_part_of_string_to_remove = metadata_operation['last_part_of_string_to_remove'] - math_1 = metadata_operation['math_1'] - math_2 = metadata_operation['math_2'] - value_1 = metadata_operation['value_1'] - value_2 = metadata_operation['value_2'] + def clean_and_format_axis(self, metadata_operation=None, input_axis=None): + first_part_of_string_to_remove = metadata_operation["first_part_of_string_to_remove"] + last_part_of_string_to_remove = metadata_operation["last_part_of_string_to_remove"] + math_1 = metadata_operation["math_1"] + math_2 = metadata_operation["math_2"] + value_1 = metadata_operation["value_1"] + value_2 = metadata_operation["value_2"] final_axis = [] for _value in input_axis: - value_cleaned = string_cleaning(first_part_of_string_to_remove=first_part_of_string_to_remove, - last_part_of_string_to_remove=last_part_of_string_to_remove, - string_to_clean=_value) + value_cleaned = string_cleaning( + first_part_of_string_to_remove=first_part_of_string_to_remove, + last_part_of_string_to_remove=last_part_of_string_to_remove, + string_to_clean=_value, + ) if value_cleaned == "N/A": return None - value_cleaned_math = linear_operation(input_parameter=value_cleaned, - math_1=math_1, - math_2=math_2, - value_1=value_1, - value_2=value_2) + value_cleaned_math = linear_operation( + input_parameter=value_cleaned, math_1=math_1, math_2=math_2, value_1=value_1, value_2=value_2 + ) if value_cleaned_math == "": return None @@ -270,32 +269,32 @@ def is_axis_plotable(self, axis): return True def display_graph(self, save_it=True): - if not self.parent.ui.enable_graph_checkbox.isChecked(): return view = self.parent.ui.image_view o_get = Get(parent=self.parent) - color = o_get.color(source='metadata', color_type='html') + color = o_get.color(source="metadata", color_type="html") graph_font_size = self.parent.ui.graph_font_size_slider.value() if self.parent.ui.enable_graph_checkbox.isChecked(): - o_get = Get(parent=self.parent) x_axis = o_get.x_axis_data() y_axis = o_get.y_axis_data() if not self.is_axis_plotable(x_axis): - self.parent.ui.statusbar.showMessage("Error Displaying Metadata Graph (x-axis has wrong format)!", - 10000) + self.parent.ui.statusbar.showMessage( + "Error Displaying Metadata Graph (x-axis has wrong format)!", 10000 + ) self.parent.ui.statusbar.setStyleSheet("color: red") return if not self.is_axis_plotable(y_axis): - self.parent.ui.statusbar.showMessage("Error Displaying Metadata Graph (y-axis has wrong format)!", - 10000) + self.parent.ui.statusbar.showMessage( + "Error Displaying Metadata Graph (y-axis has wrong format)!", 10000 + ) self.parent.ui.statusbar.setStyleSheet("color: red") return @@ -309,48 +308,40 @@ def display_graph(self, save_it=True): y_name = self.parent.ui.graph_y_axis_name.text() y_unit = self.parent.ui.graph_y_axis_units.text() if y_unit: - y_axis_label = '{} ({})'.format(color, - graph_font_size, - y_name, - y_unit, - ) + y_axis_label = f'{y_name} ({y_unit})' else: - y_axis_label = '{}'.format(color, - graph_font_size, - y_name) + y_axis_label = f'{y_name}' x_name = self.parent.ui.graph_x_axis_name.text() x_unit = self.parent.ui.graph_x_axis_units.text() if x_unit: - x_axis_label = '

{} ({})'.format(color, - graph_font_size, - x_name, - x_unit, - ) + x_axis_label = ( + f'

{x_name} ({x_unit})' + ) else: - x_axis_label = '

{}'.format(color, - graph_font_size, - x_name) + x_axis_label = f'

{x_name}' - graph.setLabel('left', text=y_axis_label) - graph.setLabel('bottom', text=x_axis_label) + graph.setLabel("left", text=y_axis_label) + graph.setLabel("bottom", text=x_axis_label) _size = self.parent.ui.metadata_graph_size_slider.value() graph.setFixedWidth(_size) graph.setFixedHeight(_size) o_get = Get(parent=self.parent) - color_pen = o_get.color(source='graph', color_type='rgb_color') + color_pen = o_get.color(source="graph", color_type="rgb_color") graph.plot(clean_and_format_x_axis, clean_and_format_y_axis, pen=color_pen) # highlight current file current_index = self.parent.ui.file_slider.value() _pen = pg.mkPen((255, 0, 0), width=4) - graph.plot(x=[clean_and_format_x_axis[current_index]], - y=[clean_and_format_y_axis[current_index]], - pen=_pen, - symboBrush=(255, 0, 0), - symbolPen='w') + graph.plot( + x=[clean_and_format_x_axis[current_index]], + y=[clean_and_format_y_axis[current_index]], + pen=_pen, + symboBrush=(255, 0, 0), + symbolPen="w", + ) if self.parent.ui.display_red_vertical_marker_checkbox.isChecked(): _inf_line = pg.InfiniteLine(clean_and_format_x_axis[current_index], pen=_pen) diff --git a/notebooks/__code/metadata_overlapping_images/event_handler.py b/notebooks/__code/metadata_overlapping_images/event_handler.py index 41a16bbc..3cfad8f8 100755 --- a/notebooks/__code/metadata_overlapping_images/event_handler.py +++ b/notebooks/__code/metadata_overlapping_images/event_handler.py @@ -1,14 +1,13 @@ +from PIL import Image from qtpy import QtGui from qtpy.QtWidgets import QMenu -from PIL import Image from .get import Get from .metadata_selector_handler import MetadataSelectorHandler -from .utilities import string_cleaning, linear_operation, is_linear_operation_valid +from .utilities import is_linear_operation_valid, linear_operation, string_cleaning class MetadataTableHandler: - def __init__(self, parent=None): self.parent = parent @@ -30,15 +29,15 @@ def right_click(self, position=None): _y_axis = None if column_selected in [0, 2, 3]: if column_selected == self.parent.x_axis_column_index: - x_axis_string = self.parent.xy_axis_menu_logo['enable'] + "X-axis" + x_axis_string = self.parent.xy_axis_menu_logo["enable"] + "X-axis" else: - x_axis_string = self.parent.xy_axis_menu_logo['disable'] + "X-axis" + x_axis_string = self.parent.xy_axis_menu_logo["disable"] + "X-axis" _x_axis = menu.addAction(x_axis_string) if column_selected == self.parent.y_axis_column_index: - y_axis_string = self.parent.xy_axis_menu_logo['enable'] + "Y-axis" + y_axis_string = self.parent.xy_axis_menu_logo["enable"] + "Y-axis" else: - y_axis_string = self.parent.xy_axis_menu_logo['disable'] + "Y-axis" + y_axis_string = self.parent.xy_axis_menu_logo["disable"] + "Y-axis" _y_axis = menu.addAction(y_axis_string) action = menu.exec_(QtGui.QCursor.pos()) @@ -59,20 +58,20 @@ def metadata_list_changed(self, index, column): key_selected = self.parent.list_metadata[index] self.parent.eventProgress.setMinimum(1) - self.parent.eventProgress.setMaximum(len(self.parent.data_dict['file_name'])) + self.parent.eventProgress.setMaximum(len(self.parent.data_dict["file_name"])) self.parent.eventProgress.setValue(1) self.parent.eventProgress.setVisible(True) self.parent.eventProgress.setEnabled(True) - for row, _file in enumerate(self.parent.data_dict['file_name']): + for row, _file in enumerate(self.parent.data_dict["file_name"]): o_image = Image.open(_file) o_dict = dict(o_image.tag_v2) value = o_dict[float(key_selected)] new_value = self.perform_cleaning_and_math_on_metadata(column=column, value=value) - self.parent.ui.tableWidget.item(row, column).setText("{}".format(new_value)) + self.parent.ui.tableWidget.item(row, column).setText(f"{new_value}") - self.parent.eventProgress.setValue(row+1) + self.parent.eventProgress.setValue(row + 1) QtGui.QGuiApplication.processEvents() self.parent.update_metadata_pyqt_ui() @@ -81,25 +80,22 @@ def metadata_list_changed(self, index, column): def perform_cleaning_and_math_on_metadata(self, column=1, value=""): metadata_operation = self.parent.metadata_operation - first_part_of_string_to_remove = metadata_operation[column]['first_part_of_string_to_remove'] - last_part_of_string_to_remove = metadata_operation[column]['last_part_of_string_to_remove'] - string_cleaned = string_cleaning(first_part_of_string_to_remove=first_part_of_string_to_remove, - last_part_of_string_to_remove=last_part_of_string_to_remove, - string_to_clean=value) - - value_1 = metadata_operation[column]['value_1'] - value_2 = metadata_operation[column]['value_2'] - if is_linear_operation_valid(input_parameter=string_cleaned, - value_1=value_1, - value_2=value_2): - - math_1 = metadata_operation[column]['math_1'] - math_2 = metadata_operation[column]['math_2'] - result_linear_operation = linear_operation(input_parameter=string_cleaned, - math_1=math_1, - value_1=value_1, - math_2=math_2, - value_2=value_2) + first_part_of_string_to_remove = metadata_operation[column]["first_part_of_string_to_remove"] + last_part_of_string_to_remove = metadata_operation[column]["last_part_of_string_to_remove"] + string_cleaned = string_cleaning( + first_part_of_string_to_remove=first_part_of_string_to_remove, + last_part_of_string_to_remove=last_part_of_string_to_remove, + string_to_clean=value, + ) + + value_1 = metadata_operation[column]["value_1"] + value_2 = metadata_operation[column]["value_2"] + if is_linear_operation_valid(input_parameter=string_cleaned, value_1=value_1, value_2=value_2): + math_1 = metadata_operation[column]["math_1"] + math_2 = metadata_operation[column]["math_2"] + result_linear_operation = linear_operation( + input_parameter=string_cleaned, math_1=math_1, value_1=value_1, math_2=math_2, value_2=value_2 + ) else: return string_cleaned diff --git a/notebooks/__code/metadata_overlapping_images/export_images.py b/notebooks/__code/metadata_overlapping_images/export_images.py index f383014c..2c9eeb13 100755 --- a/notebooks/__code/metadata_overlapping_images/export_images.py +++ b/notebooks/__code/metadata_overlapping_images/export_images.py @@ -1,23 +1,21 @@ import os + import pyqtgraph.exporters -from qtpy import QtCore -from qtpy import QtGui +from IPython.display import HTML, display +from qtpy import QtCore, QtGui from qtpy.QtWidgets import QApplication -from IPython.display import HTML -from IPython.display import display class ExportImages: + ext = ".png" - ext = '.png' - - def __init__(self, parent=None, export_folder=''): + def __init__(self, parent=None, export_folder=""): self.parent = parent self.export_folder = export_folder - def _create_output_file_name(self, file=''): - if file == '': - return '' + def _create_output_file_name(self, file=""): + if file == "": + return "" basename_ext = os.path.basename(file) [basename, ext] = os.path.splitext(basename_ext) @@ -26,29 +24,28 @@ def _create_output_file_name(self, file=''): return full_file_name def run(self): - QApplication.setOverrideCursor(QtCore.Qt.WaitCursor) self.parent.eventProgress.setMinimum(1) - self.parent.eventProgress.setMaximum(len(self.parent.data_dict['file_name'])) + self.parent.eventProgress.setMaximum(len(self.parent.data_dict["file_name"])) self.parent.eventProgress.setValue(1) self.parent.eventProgress.setVisible(True) - for _index, _file in enumerate(self.parent.data_dict['file_name']): + for _index, _file in enumerate(self.parent.data_dict["file_name"]): output_file_name = self._create_output_file_name(file=_file) self.parent.ui.file_slider.setValue(_index) exporter = pyqtgraph.exporters.ImageExporter(self.parent.ui.image_view.view) - exporter.params.param('width').setValue(2024, blockSignal=exporter.widthChanged) - exporter.params.param('height').setValue(2014, blockSignal=exporter.heightChanged) + exporter.params.param("width").setValue(2024, blockSignal=exporter.widthChanged) + exporter.params.param("height").setValue(2014, blockSignal=exporter.heightChanged) exporter.export(output_file_name) - self.parent.eventProgress.setValue(_index+2) + self.parent.eventProgress.setValue(_index + 2) QtGui.QGuiApplication.processEvents() QtGui.QGuiApplication.processEvents() - display(HTML("Exported Images in Folder {}".format(self.export_folder))) + display(HTML(f"Exported Images in Folder {self.export_folder}")) self.parent.eventProgress.setVisible(False) QApplication.restoreOverrideCursor() diff --git a/notebooks/__code/metadata_overlapping_images/export_table.py b/notebooks/__code/metadata_overlapping_images/export_table.py index 4704376f..1add654a 100755 --- a/notebooks/__code/metadata_overlapping_images/export_table.py +++ b/notebooks/__code/metadata_overlapping_images/export_table.py @@ -1,13 +1,13 @@ import os + import numpy as np -from .._utilities.table_handler import TableHandler from .._utilities.file import make_ascii_file from .._utilities.status_message import StatusMessageStatus, show_status_message +from .._utilities.table_handler import TableHandler class ExportTable: - def __init__(self, parent=None, export_folder=None): self.parent = parent self.export_folder = export_folder @@ -23,15 +23,14 @@ def run(self): full_output_file_name = self._create_output_file_name() metadata = self.create_metadata_array() data = self.create_data_array() - make_ascii_file(metadata=metadata, - data=data, - output_file_name=full_output_file_name, - dim="1d") + make_ascii_file(metadata=metadata, data=data, output_file_name=full_output_file_name, dim="1d") - show_status_message(parent=self.parent, - message=f"Table has been exported in {full_output_file_name}", - status=StatusMessageStatus.ready, - duration_s=5) + show_status_message( + parent=self.parent, + message=f"Table has been exported in {full_output_file_name}", + status=StatusMessageStatus.ready, + duration_s=5, + ) def create_data_array(self): o_table = TableHandler(table_ui=self.parent.ui.tableWidget) @@ -58,13 +57,13 @@ def create_metadata_array(self): y_axis_metadata_operation = self.parent.metadata_operation[y_axis_index] def get_maths_values(metadata_operation): - math_1 = metadata_operation['math_1'] - value_1 = metadata_operation['value_1'] - math_2 = metadata_operation['math_2'] - value_2 = metadata_operation['value_2'] + math_1 = metadata_operation["math_1"] + value_1 = metadata_operation["value_1"] + math_2 = metadata_operation["math_2"] + value_2 = metadata_operation["value_2"] return math_1, value_1, math_2, value_2 - def format_math(metadata_operation, metadata_axis='x_axis'): + def format_math(metadata_operation, metadata_axis="x_axis"): math_1, value_1, math_2, value_2 = get_maths_values(metadata_operation) if value_1 == "": metadata.append(f"# Metadata {metadata_axis} operation: None") @@ -74,22 +73,22 @@ def format_math(metadata_operation, metadata_axis='x_axis'): else: metadata.append(f"# Metadata {metadata_axis} operation: {math_1} {value_1} {math_2} {value_2}") - format_math(x_axis_metadata_operation, metadata_axis='x_axis') - format_math(y_axis_metadata_operation, metadata_axis='y_axis') + format_math(x_axis_metadata_operation, metadata_axis="x_axis") + format_math(y_axis_metadata_operation, metadata_axis="y_axis") list_metadata = self.parent.raw_list_metadata - metadata.append(f"# column 0: file index") - metadata.append(f"# column 1: file name") + metadata.append("# column 0: file index") + metadata.append("# column 1: file name") - index_metadata_1 = self.parent.metadata_operation[2]['index_of_metadata'] + index_metadata_1 = self.parent.metadata_operation[2]["index_of_metadata"] if index_metadata_1 == -1: - metadata.append(f"# column 2: No metadata selected!") + metadata.append("# column 2: No metadata selected!") else: metadata.append(f"# column 2: metadata {list_metadata[index_metadata_1]}") - index_metadata_2 = self.parent.metadata_operation[3]['index_of_metadata'] + index_metadata_2 = self.parent.metadata_operation[3]["index_of_metadata"] if index_metadata_2 == -1: - metadata.append(f"# column 3: No metadata selected!") + metadata.append("# column 3: No metadata selected!") else: metadata.append(f"# column 3: metadata {list_metadata[index_metadata_2]}") diff --git a/notebooks/__code/metadata_overlapping_images/general_classes.py b/notebooks/__code/metadata_overlapping_images/general_classes.py index 64843030..b90a8d76 100755 --- a/notebooks/__code/metadata_overlapping_images/general_classes.py +++ b/notebooks/__code/metadata_overlapping_images/general_classes.py @@ -1,4 +1,3 @@ - class ScaleSettings: x0 = 50 y0 = 50 @@ -14,4 +13,4 @@ class MetadataSettings: x0 = 200 y0 = 200 - color = [255, 255, 255] # white + color = [255, 255, 255] # white diff --git a/notebooks/__code/metadata_overlapping_images/get.py b/notebooks/__code/metadata_overlapping_images/get.py index 891f2c7b..ed91330c 100755 --- a/notebooks/__code/metadata_overlapping_images/get.py +++ b/notebooks/__code/metadata_overlapping_images/get.py @@ -1,11 +1,11 @@ -import numpy as np -import os import collections +import os + +import numpy as np from PIL import Image class Get: - def __init__(self, parent=None): self.parent = parent @@ -102,16 +102,16 @@ def metadata_text(self, metadata_index=1): index_of_y_axis = self.parent.y_axis_column_index metadata_value = str(self.parent.ui.tableWidget.item(slider_index, index_of_y_axis).text()) - if metadata_name.strip() == '': - return "{} {}".format(metadata_value, metadata_units) + if metadata_name.strip() == "": + return f"{metadata_value} {metadata_units}" else: - return "{}: {} {}".format(metadata_name, metadata_value, metadata_units) + return f"{metadata_name}: {metadata_value} {metadata_units}" def scale_legend(self): real_scale_value = str(self.parent.ui.scale_real_size.text()) units_index_selected = self.parent.ui.scale_units_combobox.currentIndex() - html_units = self.parent.list_scale_units['html'][units_index_selected] - return "{} {}".format(real_scale_value, html_units) + html_units = self.parent.list_scale_units["html"][units_index_selected] + return f"{real_scale_value} {html_units}" def raw_metadata_column(self): data = [] @@ -121,23 +121,23 @@ def raw_metadata_column(self): data.append(_row_str) return data - def color(self, color_type='html', source='metadata'): - if source == 'metadata': + def color(self, color_type="html", source="metadata"): + if source == "metadata": color_selected = self.parent.ui.metadata_color_combobox.currentText().lower() - elif source == 'graph': + elif source == "graph": color_selected = self.parent.ui.graph_color_combobox.currentText().lower() else: color_selected = self.parent.ui.scale_color_combobox.currentText().lower() - if color_type == 'html': + if color_type == "html": return self.parent.html_color[color_selected] - elif color_type == 'rgba': + elif color_type == "rgba": return self.parent.rgba_color[color_selected] else: return self.parent.rgb_color[color_selected] def list_metadata(self): - first_file = self.parent.data_dict['file_name'][0] + first_file = self.parent.data_dict["file_name"][0] dict_list_metadata = collections.OrderedDict() [_, ext] = os.path.splitext(os.path.basename(first_file)) if ext in [".tif", ".tiff"]: @@ -147,7 +147,7 @@ def list_metadata(self): list_key = [] for tag, value in info.items(): dict_list_metadata[tag] = value - list_metadata.append("{} -> {}".format(tag, value)) + list_metadata.append(f"{tag} -> {value}") list_key.append(tag) self.parent.list_metadata = list_key self.parent.dict_list_metadata = dict_list_metadata diff --git a/notebooks/__code/metadata_overlapping_images/initialization.py b/notebooks/__code/metadata_overlapping_images/initialization.py index 889bcc15..81d4f385 100755 --- a/notebooks/__code/metadata_overlapping_images/initialization.py +++ b/notebooks/__code/metadata_overlapping_images/initialization.py @@ -1,21 +1,22 @@ import os + +import numpy as np import pyqtgraph as pg from qtpy import QtCore -from qtpy.QtWidgets import QVBoxLayout, QProgressBar, QTableWidgetItem -import numpy as np +from qtpy.QtWidgets import QProgressBar, QTableWidgetItem, QVBoxLayout from __code.file_handler import retrieve_time_stamp -from __code.metadata_overlapping_images.general_classes import ScaleSettings, MetadataSettings +from __code.metadata_overlapping_images.general_classes import MetadataSettings, ScaleSettings + from .get import Get class Initializer: - def __init__(self, parent=None): self.parent = parent def timestamp_dict(self): - list_files = self.parent.data_dict['file_name'] + list_files = self.parent.data_dict["file_name"] self.parent.timestamp_dict = retrieve_time_stamp(list_files) def parameters(self): @@ -31,7 +32,7 @@ def statusbar(self): def table(self): # init the summary table - list_files_full_name = self.parent.data_dict['file_name'] + list_files_full_name = self.parent.data_dict["file_name"] list_files_short_name = [os.path.basename(_file) for _file in list_files_full_name] self.parent.ui.tableWidget.blockSignals(True) @@ -44,7 +45,7 @@ def table(self): self.parent.ui.tableWidget.blockSignals(False) def set_scale_spinbox_max_value(self): - [height, width] = np.shape(self.parent.data_dict['data'][0]) + [height, width] = np.shape(self.parent.data_dict["data"][0]) if self.parent.ui.scale_horizontal_orientation.isChecked(): max_value = width else: @@ -52,12 +53,11 @@ def set_scale_spinbox_max_value(self): self.parent.ui.scale_size_spinbox.setMaximum(max_value) def widgets(self): - # splitter self.parent.ui.splitter.setSizes([800, 50]) # file slider - self.parent.ui.file_slider.setMaximum(len(self.parent.data_dict['data']) - 1) + self.parent.ui.file_slider.setMaximum(len(self.parent.data_dict["data"]) - 1) # update size of table columns nbr_columns = self.parent.ui.tableWidget.columnCount() @@ -73,16 +73,16 @@ def widgets(self): self.parent.ui.select_metadata_combobox.setVisible(False) # list of scale available - self.parent.ui.scale_units_combobox.addItems(self.parent.list_scale_units['string']) + self.parent.ui.scale_units_combobox.addItems(self.parent.list_scale_units["string"]) # pixel size range - [height, width] = np.shape(self.parent.data_dict['data'][0]) + [height, width] = np.shape(self.parent.data_dict["data"][0]) self.set_scale_spinbox_max_value() if self.parent.ui.scale_horizontal_orientation.isChecked(): max_value = width else: max_value = height - self.parent.ui.scale_size_spinbox.setValue(int(max_value/4)) + self.parent.ui.scale_size_spinbox.setValue(int(max_value / 4)) # metadata and scale slider positions self.parent.ui.scale_position_x.setMaximum(width) @@ -95,7 +95,7 @@ def widgets(self): self.parent.ui.graph_position_x.setMinimum(0) self.parent.ui.graph_position_x.setMaximum(width) - self.parent.ui.graph_position_x.setValue(int(width/2)) + self.parent.ui.graph_position_x.setValue(int(width / 2)) self.parent.ui.graph_position_y.setMaximum(height) self.parent.ui.graph_position_y.setValue(height) @@ -115,12 +115,12 @@ def pyqtgraph(self): vertical_layout.addWidget(self.parent.ui.image_view) self.parent.ui.pyqtgraph_widget.setLayout(vertical_layout) - def set_item_all_plot_file_name_table(self, row=0, value=''): + def set_item_all_plot_file_name_table(self, row=0, value=""): item = QTableWidgetItem(str(value)) self.parent.ui.all_plots_file_name_table.setItem(row, 1, item) item.setFlags(QtCore.Qt.ItemIsEnabled | QtCore.Qt.ItemIsSelectable) - def set_item_table(self, row=0, col=0, value='', editable=False): + def set_item_table(self, row=0, col=0, value="", editable=False): item = QTableWidgetItem(str(value)) self.parent.ui.tableWidget.setItem(row, col, item) if not editable: diff --git a/notebooks/__code/metadata_overlapping_images/metadata_overlapping_images.py b/notebooks/__code/metadata_overlapping_images/metadata_overlapping_images.py index 686aac3e..b237fbdd 100755 --- a/notebooks/__code/metadata_overlapping_images/metadata_overlapping_images.py +++ b/notebooks/__code/metadata_overlapping_images/metadata_overlapping_images.py @@ -1,53 +1,58 @@ -from IPython.display import HTML -from IPython.display import display -import os import copy -from qtpy.QtWidgets import QMainWindow, QFileDialog -from qtpy import QtGui +import os from collections import OrderedDict +from IPython.display import HTML, display +from qtpy import QtGui +from qtpy.QtWidgets import QFileDialog, QMainWindow + from __code import load_ui -from .initialization import Initializer -from .event_handler import MetadataTableHandler +from __code.metadata_overlapping_images import HELP_PAGE from __code.metadata_overlapping_images.export_images import ExportImages -from .display import DisplayImages, DisplayScalePyqtUi, DisplayMetadataPyqtUi -from .export_table import ExportTable -from __code.metadata_overlapping_images import HELP_PAGE +from .display import DisplayImages, DisplayMetadataPyqtUi, DisplayScalePyqtUi +from .event_handler import MetadataTableHandler +from .export_table import ExportTable +from .initialization import Initializer class MetadataOverlappingImagesUi(QMainWindow): - x_axis_column_index = 0 y_axis_column_index = 2 - xy_axis_menu_logo = {'enable': u"\u2713 ", # \u25CF (dark circle) - 'disable': " "} - - metadata_operation = {0: {"first_part_of_string_to_remove": "", - "last_part_of_string_to_remove": "", - "math_1": "+", - "value_1": "", - "math_2": "+", - "value_2": "", - "index_of_metadata": -1, - }, - 2: {"first_part_of_string_to_remove": "", - "last_part_of_string_to_remove": "", - "math_1": "+", - "value_1": "", - "math_2": "+", - "value_2": "", - "index_of_metadata": -1, - }, - 3: {"first_part_of_string_to_remove": "", - "last_part_of_string_to_remove": "", - "math_1": "+", - "value_1": "", - "math_2": "+", - "value_2": "", - "index_of_metadata": -1, - }, - } + xy_axis_menu_logo = { + "enable": "\u2713 ", # \u25CF (dark circle) + "disable": " ", + } + + metadata_operation = { + 0: { + "first_part_of_string_to_remove": "", + "last_part_of_string_to_remove": "", + "math_1": "+", + "value_1": "", + "math_2": "+", + "value_2": "", + "index_of_metadata": -1, + }, + 2: { + "first_part_of_string_to_remove": "", + "last_part_of_string_to_remove": "", + "math_1": "+", + "value_1": "", + "math_2": "+", + "value_2": "", + "index_of_metadata": -1, + }, + 3: { + "first_part_of_string_to_remove": "", + "last_part_of_string_to_remove": "", + "math_1": "+", + "value_1": "", + "math_2": "+", + "value_2": "", + "index_of_metadata": -1, + }, + } data_dict = {} data_dict_raw = {} @@ -61,8 +66,8 @@ class MetadataOverlappingImagesUi(QMainWindow): scale_pyqt_ui = None scale_legend_pyqt_ui = None - metadata1_pyqt_ui = None # metadata 1 text - metadata2_pyqt_ui = None # metadata 2 text + metadata1_pyqt_ui = None # metadata 1 text + metadata2_pyqt_ui = None # metadata 2 text graph_pyqt_ui = None @@ -78,49 +83,53 @@ class MetadataOverlappingImagesUi(QMainWindow): list_table_widget_checkbox = list() list_metadata = [] - dict_list_metadata = OrderedDict() # {0: '10', 1: 'hfir', ...} - list_scale_units = ["mm", u"\u00B5m", "nm"] - list_scale_units = {'string': ["mm", u"\u00B5m", "nm"], - 'html': ["mm", "µm", "nm"]} - - rgba_color = {'white': (255, 255, 255, 255, None), - 'red': (255, 0, 0, 255, None), - 'green': (0, 255, 0, 255, None), - 'blue': (0, 0, 255, 255, None), - 'black': (0, 0, 0, 255, None)} - - rgb_color = {'white': (255, 255, 255), - 'red': (255, 0, 0), - 'green': (0, 255, 0), - 'blue': (0, 0, 255), - 'black': (0, 0, 0)} - - html_color = {'white': "#FFF", - 'red': "#F00", - 'green': "#0F0", - 'blue': "#00F", - 'black': "#000"} + dict_list_metadata = OrderedDict() # {0: '10', 1: 'hfir', ...} + list_scale_units = ["mm", "\u00b5m", "nm"] + list_scale_units = {"string": ["mm", "\u00b5m", "nm"], "html": ["mm", "µm", "nm"]} + + rgba_color = { + "white": (255, 255, 255, 255, None), + "red": (255, 0, 0, 255, None), + "green": (0, 255, 0, 255, None), + "blue": (0, 0, 255, 255, None), + "black": (0, 0, 0, 255, None), + } + + rgb_color = { + "white": (255, 255, 255), + "red": (255, 0, 0), + "green": (0, 255, 0), + "blue": (0, 0, 255), + "black": (0, 0, 0), + } + + html_color = {"white": "#FFF", "red": "#F00", "green": "#0F0", "blue": "#00F", "black": "#000"} # ui of pop up window that allows to define metadata column value (format it) metadata_string_format_ui = None - def __init__(self, parent=None, working_dir='', data_dict=None): - - display(HTML('Check UI that popped up \ - (maybe hidden behind this browser!)')) + def __init__(self, parent=None, working_dir="", data_dict=None): + display( + HTML( + 'Check UI that popped up \ + (maybe hidden behind this browser!)' + ) + ) super(MetadataOverlappingImagesUi, self).__init__(parent) - ui_full_path = os.path.join(os.path.dirname(os.path.dirname(os.path.dirname(__file__))), - os.path.join('ui', 'ui_metadata_overlapping_images.ui')) + ui_full_path = os.path.join( + os.path.dirname(os.path.dirname(os.path.dirname(__file__))), + os.path.join("ui", "ui_metadata_overlapping_images.ui"), + ) self.ui = load_ui(ui_full_path, baseinstance=self) self.setWindowTitle("Metadata Overlapping Images") self.working_dir = working_dir self.data_dict = data_dict # Normalization data dictionary {'file_name': [], - #'data': [[...],[...]]], - #'metadata': [], - #'shape': {}} + #'data': [[...],[...]]], + #'metadata': [], + #'shape': {}} # untouched array of images (used to move and rotate images) self.data_dict_raw = copy.deepcopy(data_dict) @@ -151,11 +160,12 @@ def previous_image_button_clicked(self): self.update_metadata_pyqt_ui() def next_image_button_clicked(self): - self.change_slider(offset = +1) + self.change_slider(offset=+1) self.update_metadata_pyqt_ui() def help_button_clicked(self): import webbrowser + webbrowser.open(HELP_PAGE) def closeEvent(self, event=None): @@ -287,26 +297,27 @@ def table_cell_changed(self, row, column): self.update_metadata_pyqt_ui() def export_table_clicked(self): - _export_folder = QFileDialog.getExistingDirectory(self, - directory=os.path.dirname(self.working_dir), - caption="Select Output Folder", - options=QFileDialog.ShowDirsOnly) + _export_folder = QFileDialog.getExistingDirectory( + self, + directory=os.path.dirname(self.working_dir), + caption="Select Output Folder", + options=QFileDialog.ShowDirsOnly, + ) QtGui.QGuiApplication.processEvents() if _export_folder: - o_export = ExportTable(parent=self, - export_folder=_export_folder) + o_export = ExportTable(parent=self, export_folder=_export_folder) o_export.run() - def export_button_clicked(self): - _export_folder = QFileDialog.getExistingDirectory(self, - directory=os.path.dirname(self.working_dir), - caption="Select Output Folder", - options=QFileDialog.ShowDirsOnly) + _export_folder = QFileDialog.getExistingDirectory( + self, + directory=os.path.dirname(self.working_dir), + caption="Select Output Folder", + options=QFileDialog.ShowDirsOnly, + ) QtGui.QGuiApplication.processEvents() if _export_folder: - o_export = ExportImages(parent=self, - export_folder=_export_folder) + o_export = ExportImages(parent=self, export_folder=_export_folder) o_export.run() # def import_table_pressed(self): diff --git a/notebooks/__code/metadata_overlapping_images/metadata_selector_handler.py b/notebooks/__code/metadata_overlapping_images/metadata_selector_handler.py index 46c2060f..302f0975 100755 --- a/notebooks/__code/metadata_overlapping_images/metadata_selector_handler.py +++ b/notebooks/__code/metadata_overlapping_images/metadata_selector_handler.py @@ -1,20 +1,23 @@ -from qtpy.QtWidgets import QDialog, QApplication -from qtpy import QtCore import os +from qtpy import QtCore +from qtpy.QtWidgets import QApplication, QDialog + from __code import load_ui + from .utilities import string_cleaning class MetadataSelectorHandler(QDialog): - def __init__(self, parent=None, column=2): self.parent = parent self.column = column super(MetadataSelectorHandler, self).__init__(parent) - ui_full_path = os.path.join(os.path.dirname(os.path.dirname(os.path.dirname(__file__))), - os.path.join('ui', 'ui_metadata_overlapping_metadata_selector.ui')) + ui_full_path = os.path.join( + os.path.dirname(os.path.dirname(os.path.dirname(__file__))), + os.path.join("ui", "ui_metadata_overlapping_metadata_selector.ui"), + ) self.ui = load_ui(ui_full_path, baseinstance=self) self.setWindowTitle("Select Metadata Toolbox") @@ -29,14 +32,14 @@ def initialization(self): self.ui.select_metadata_combobox.addItems(list_metadata) metadata_operation = self.parent.metadata_operation[self.column] - self.ui.select_metadata_combobox.setCurrentIndex(metadata_operation['index_of_metadata']) - self.ui.first_part_lineEdit.setText(metadata_operation['first_part_of_string_to_remove']) - self.ui.second_part_lineEdit.setText(metadata_operation['last_part_of_string_to_remove']) - self.ui.linear_operation_lineEdit_1.setText(metadata_operation['value_1']) - self.ui.linear_operation_lineEdit_2.setText(metadata_operation['value_2']) - math_1_index = self.ui.linear_operation_comboBox_1.findText(metadata_operation['math_1']) + self.ui.select_metadata_combobox.setCurrentIndex(metadata_operation["index_of_metadata"]) + self.ui.first_part_lineEdit.setText(metadata_operation["first_part_of_string_to_remove"]) + self.ui.second_part_lineEdit.setText(metadata_operation["last_part_of_string_to_remove"]) + self.ui.linear_operation_lineEdit_1.setText(metadata_operation["value_1"]) + self.ui.linear_operation_lineEdit_2.setText(metadata_operation["value_2"]) + math_1_index = self.ui.linear_operation_comboBox_1.findText(metadata_operation["math_1"]) self.ui.linear_operation_comboBox_1.setCurrentIndex(math_1_index) - math_2_index = self.ui.linear_operation_comboBox_2.findText(metadata_operation['math_2']) + math_2_index = self.ui.linear_operation_comboBox_2.findText(metadata_operation["math_2"]) self.ui.linear_operation_comboBox_2.setCurrentIndex(math_2_index) def string_cleaning_changed(self, new_text=None): @@ -44,9 +47,11 @@ def string_cleaning_changed(self, new_text=None): last_part_of_string_to_remove = str(self.ui.second_part_lineEdit.text()) string_to_clean = self.ui.select_metadata_combobox.currentText() - cleaned_string = string_cleaning(first_part_of_string_to_remove=first_part_of_string_to_remove, - last_part_of_string_to_remove=last_part_of_string_to_remove, - string_to_clean=string_to_clean) + cleaned_string = string_cleaning( + first_part_of_string_to_remove=first_part_of_string_to_remove, + last_part_of_string_to_remove=last_part_of_string_to_remove, + string_to_clean=string_to_clean, + ) self.ui.linear_operation_value_before.setText(cleaned_string) self.check_if_before_linear_operation_valid() @@ -82,7 +87,7 @@ def linear_operation_lineedit_changed(self, new_string=None): operation_to_eval += f" {math_2} {float(value_2)}" result = eval(operation_to_eval) - self.ui.linear_operation_value_after.setText("{}".format(result)) + self.ui.linear_operation_value_after.setText(f"{result}") self.update_final_result() def linear_operation_combobox_changed(self, new_string=None): @@ -121,14 +126,15 @@ def save_parameters(self): value_1 = "" value_2 = "" - self.parent.metadata_operation[self.column] = {"first_part_of_string_to_remove": first_part_of_string_to_remove, - "last_part_of_string_to_remove": last_part_of_string_to_remove, - "math_1": math_1, - "value_1": value_1, - "math_2": math_2, - "value_2": value_2, - "index_of_metadata": self.index_metadata_selected, - } + self.parent.metadata_operation[self.column] = { + "first_part_of_string_to_remove": first_part_of_string_to_remove, + "last_part_of_string_to_remove": last_part_of_string_to_remove, + "math_1": math_1, + "value_1": value_1, + "math_2": math_2, + "value_2": value_2, + "index_of_metadata": self.index_metadata_selected, + } def is_before_linear_operation_is_valid(self): string_to_check = str(self.ui.linear_operation_value_before.text()) @@ -145,7 +151,6 @@ def check_if_before_linear_operation_valid(self): self.ui.linear_operation_groupBox.setEnabled(enable_linear_operation_widgets) def is_linear_operation_valid(self): - def result_of_checking_operation(ui=None): is_error_in_operation = False operation = str(ui.text()).strip() diff --git a/notebooks/__code/metadata_overlapping_images/metadata_string_format_handler.py b/notebooks/__code/metadata_overlapping_images/metadata_string_format_handler.py index 52b2fdf8..3de4eaf6 100755 --- a/notebooks/__code/metadata_overlapping_images/metadata_string_format_handler.py +++ b/notebooks/__code/metadata_overlapping_images/metadata_string_format_handler.py @@ -1,15 +1,15 @@ -import numpy as np import os import re + +import numpy as np +from qtpy import QtCore, QtGui from qtpy.QtWidgets import QMainWindow -from qtpy import QtGui, QtCore from __code import load_ui from __code.metadata_overlapping_images import HELP_PAGE, LIST_FUNNY_CHARACTERS class MetadataStringFormatLauncher: - def __init__(self, parent=None): self.parent = parent @@ -23,22 +23,22 @@ def __init__(self, parent=None): class MetadataStringFormatHandler(QMainWindow): - column_width = [400, 100] def __init__(self, parent=None): - self.parent = parent super(MetadataStringFormatHandler, self).__init__(parent) - ui_full_path = os.path.join(os.path.dirname(os.path.dirname(os.path.dirname(__file__))), - os.path.join('ui', 'ui_metadata_overlapping_images_string_format.ui')) + ui_full_path = os.path.join( + os.path.dirname(os.path.dirname(os.path.dirname(__file__))), + os.path.join("ui", "ui_metadata_overlapping_images_string_format.ui"), + ) self.ui = load_ui(ui_full_path, baseinstance=self) self.setWindowTitle("Clean String") self.init_table() self.init_table_size() - def set_item_parent_table(self, row=0, col=0, value='', editable=False): + def set_item_parent_table(self, row=0, col=0, value="", editable=False): item = QtGui.QTableWidgetItem(str(value)) self.parent.ui.tableWidget.setItem(row, col, item) if not editable: @@ -57,6 +57,7 @@ def cancel(self): def launch_help(self): import webbrowser + webbrowser.open(HELP_PAGE) def string_format_changed(self, value): @@ -64,19 +65,19 @@ def string_format_changed(self, value): _clean_first_part = "" for _c in _first_part: if _c in LIST_FUNNY_CHARACTERS: - _clean_first_part += "\{}".format(_c) + _clean_first_part += rf"\{_c}" else: - _clean_first_part += "{}".format(_c) + _clean_first_part += f"{_c}" _second_part = self.ui.second_part_lineEdit.text() _clean_second_part = "" for _c in _second_part: if _c in LIST_FUNNY_CHARACTERS: - _clean_second_part += "\{}".format(_c) + _clean_second_part += rf"\{_c}" else: - _clean_second_part += "{}".format(_c) + _clean_second_part += f"{_c}" - regular_expr = r"{}(.*){}".format(_clean_first_part, _clean_second_part) + regular_expr = rf"{_clean_first_part}(.*){_clean_second_part}" nbr_row = self.ui.tableWidget.rowCount() for _row in np.arange(nbr_row): @@ -92,7 +93,7 @@ def init_table_size(self): self.ui.tableWidget.setColumnWidth(_col_index, _col_width) def init_table(self): - list_files_full_name = self.parent.data_dict['file_name'] + list_files_full_name = self.parent.data_dict["file_name"] list_files_short_name = [os.path.basename(_file) for _file in list_files_full_name] main_table_metadata_column = self.parent.get_raw_metadata_column() @@ -102,7 +103,7 @@ def init_table(self): self.set_item_table(row=_row, col=0, value=_file) self.set_item_table(row=_row, col=1, value=main_table_metadata_column[_row], editable=True) - def set_item_table(self, row=0, col=0, value='', editable=False): + def set_item_table(self, row=0, col=0, value="", editable=False): item = QtGui.QTableWidgetItem(str(value)) self.ui.tableWidget.setItem(row, col, item) if not editable: diff --git a/notebooks/__code/metadata_overlapping_images/table_loader.py b/notebooks/__code/metadata_overlapping_images/table_loader.py index b12a6210..af2acd4b 100755 --- a/notebooks/__code/metadata_overlapping_images/table_loader.py +++ b/notebooks/__code/metadata_overlapping_images/table_loader.py @@ -3,18 +3,14 @@ class TableLoader: - table = {} - def __init__(self, parent=None, filename=''): + def __init__(self, parent=None, filename=""): self.parent = parent self.filename = filename def load_table(self): - table = pd.read_csv(self.filename, - sep=',', - comment='#', - names=["filename", "metadata"]) + table = pd.read_csv(self.filename, sep=",", comment="#", names=["filename", "metadata"]) table_dict = {} for _row in table.values: _key, _value = _row diff --git a/notebooks/__code/metadata_overlapping_images/utilities.py b/notebooks/__code/metadata_overlapping_images/utilities.py index 0200e348..e0575a51 100755 --- a/notebooks/__code/metadata_overlapping_images/utilities.py +++ b/notebooks/__code/metadata_overlapping_images/utilities.py @@ -8,19 +8,19 @@ def string_cleaning(first_part_of_string_to_remove="", last_part_of_string_to_re _clean_first_part = "" for _c in first_part_of_string_to_remove: if _c in LIST_FUNNY_CHARACTERS: - _clean_first_part += "\{}".format(_c) + _clean_first_part += rf"\{_c}" else: - _clean_first_part += "{}".format(_c) + _clean_first_part += f"{_c}" last_part_of_string_to_remove = last_part_of_string_to_remove _clean_second_part = "" for _c in last_part_of_string_to_remove: if _c in LIST_FUNNY_CHARACTERS: - _clean_second_part += "\{}".format(_c) + _clean_second_part += rf"\{_c}" else: - _clean_second_part += "{}".format(_c) + _clean_second_part += f"{_c}" - regular_expr = r"{}(.*){}".format(_clean_first_part, _clean_second_part) + regular_expr = rf"{_clean_first_part}(.*){_clean_second_part}" m = re.match(regular_expr, str(string_to_clean)) if m and m.group(1): @@ -31,11 +31,7 @@ def string_cleaning(first_part_of_string_to_remove="", last_part_of_string_to_re def linear_operation(input_parameter="", math_1="", value_1="", math_2="", value_2=""): - - if is_linear_operation_valid(input_parameter=input_parameter, - value_1=value_1, - value_2=value_2): - + if is_linear_operation_valid(input_parameter=input_parameter, value_1=value_1, value_2=value_2): operation_to_eval = f"{input_parameter}" if value_1: operation_to_eval += f" {math_1} {float(value_1)}" @@ -50,7 +46,6 @@ def linear_operation(input_parameter="", math_1="", value_1="", math_2="", value def is_linear_operation_valid(input_parameter="", value_1="", value_2=""): - def is_error_in_operation(value): operation = str(value.strip()) if operation: @@ -60,9 +55,11 @@ def is_error_in_operation(value): return True return False - if (not is_error_in_operation(value_1)) and \ - (not is_error_in_operation(value_2)) and \ - (not is_error_in_operation(input_parameter)): + if ( + (not is_error_in_operation(value_1)) + and (not is_error_in_operation(value_2)) + and (not is_error_in_operation(input_parameter)) + ): return True return False diff --git a/notebooks/__code/nexus_handler.py b/notebooks/__code/nexus_handler.py index 484da0a7..1b2dcbdf 100755 --- a/notebooks/__code/nexus_handler.py +++ b/notebooks/__code/nexus_handler.py @@ -1,62 +1,62 @@ +from collections import OrderedDict from pathlib import Path + import h5py -from collections import OrderedDict -def get_list_entries(nexus_file_name=None, starting_entries=None): - ''' - :param nexus_file_name: hdf5 full file path - :param starting_entries: list of entries - example: starting_entries = ['entry','DASlogs'] - :return: dictionary showing the structure of the hdf5 from the starting_entries level - example: {'PV1': ['value', 'maximum_value', 'minimum_value', 'mean'], - 'PV2': ['value', 'maximum_value', 'minimum_value', 'mean']} - ''' - if nexus_file_name is None: - raise ValueError("Please provide a full path to a nexus file name!") +def get_list_entries(nexus_file_name=None, starting_entries=None): + """ - if not Path(nexus_file_name).exists(): - raise ValueError('File "{}" does not exist!'.format(nexus_file_name)) + :param nexus_file_name: hdf5 full file path + :param starting_entries: list of entries + example: starting_entries = ['entry','DASlogs'] + :return: dictionary showing the structure of the hdf5 from the starting_entries level + example: {'PV1': ['value', 'maximum_value', 'minimum_value', 'mean'], + 'PV2': ['value', 'maximum_value', 'minimum_value', 'mean']} + """ + if nexus_file_name is None: + raise ValueError("Please provide a full path to a nexus file name!") - dict_daslogs_keys = OrderedDict() - with h5py.File(nexus_file_name, 'r') as nxs: + if not Path(nexus_file_name).exists(): + raise ValueError(f'File "{nexus_file_name}" does not exist!') - nxs_path = nxs - for _item in starting_entries: - nxs_path = nxs_path.get(_item) + dict_daslogs_keys = OrderedDict() + with h5py.File(nexus_file_name, "r") as nxs: + nxs_path = nxs + for _item in starting_entries: + nxs_path = nxs_path.get(_item) - if nxs_path is None: - raise KeyError("entries not found!") + if nxs_path is None: + raise KeyError("entries not found!") - for key in nxs_path.keys(): - list_keys = list(nxs_path.get(key).keys()) - list_keys.sort() - dict_daslogs_keys[key] = list_keys + for key in nxs_path.keys(): + list_keys = list(nxs_path.get(key).keys()) + list_keys.sort() + dict_daslogs_keys[key] = list_keys - return dict_daslogs_keys + return dict_daslogs_keys def get_entry_value(nexus_file_name=None, entry_path=None): - ''' - - :param nexus_file_name: hdf5 full file path - :param entry_path: full path through the file to retrieve the information - example: ['entry', 'DASlogs', 'PV1', 'value'] - :return: value at the given path in the hdf5 file - ''' - if nexus_file_name is None: - raise ValueError("Please provide a full path to a nexus file name!") - - if not Path(nexus_file_name).exists(): - raise ValueError('File "{}" does not exist!'.format(nexus_file_name)) - - with h5py.File(nexus_file_name, 'r') as nxs: - - try: - nxs_path = nxs - for _item in entry_path: - nxs_path = nxs_path.get(_item) - except AttributeError: - raise AttributeError("Path specify in the HDF5 is wrong!") - - return list(nxs_path) + """ + + :param nexus_file_name: hdf5 full file path + :param entry_path: full path through the file to retrieve the information + example: ['entry', 'DASlogs', 'PV1', 'value'] + :return: value at the given path in the hdf5 file + """ + if nexus_file_name is None: + raise ValueError("Please provide a full path to a nexus file name!") + + if not Path(nexus_file_name).exists(): + raise ValueError(f'File "{nexus_file_name}" does not exist!') + + with h5py.File(nexus_file_name, "r") as nxs: + try: + nxs_path = nxs + for _item in entry_path: + nxs_path = nxs_path.get(_item) + except AttributeError: + raise AttributeError("Path specify in the HDF5 is wrong!") + + return list(nxs_path) diff --git a/notebooks/__code/normalization.py b/notebooks/__code/normalization.py index 6d4d4d3c..a85c7fa4 100755 --- a/notebooks/__code/normalization.py +++ b/notebooks/__code/normalization.py @@ -1,23 +1,21 @@ import os + import matplotlib.patches as patches import matplotlib.pyplot as plt import numpy as np -from IPython.display import HTML - -from ipywidgets import widgets, Layout -from IPython.display import display - +from IPython.display import HTML, display +from ipywidgets import Layout, widgets from NeuNorm.normalization import Normalization from NeuNorm.roi import ROI -from __code import utilities, file_handler +from __code import file_handler, utilities from __code.config import gamma_filtering_coefficient from __code.ipywe import fileselector def close(w): "recursively close a widget" - if hasattr(w, 'children'): + if hasattr(w, "children"): for c in w.children: close(c) continue @@ -26,34 +24,41 @@ def close(w): class myFileSelectorPanel(fileselector.FileSelectorPanel): - def __init__(self, instruction, start_dir=".", type='file', - next=None, - multiple=False, - newdir_toolbar_button=False, - current_ui=None): - super(myFileSelectorPanel, self).__init__(instruction, - start_dir=start_dir, - type=type, - next=next, - multiple=multiple, - newdir_toolbar_button=newdir_toolbar_button) + def __init__( + self, + instruction, + start_dir=".", + type="file", + next=None, + multiple=False, + newdir_toolbar_button=False, + current_ui=None, + ): + super(myFileSelectorPanel, self).__init__( + instruction, + start_dir=start_dir, + type=type, + next=next, + multiple=multiple, + newdir_toolbar_button=newdir_toolbar_button, + ) self.current_ui = current_ui def validate(self, s): super(myFileSelectorPanel, self).validate(s) try: - if self.current_ui.state == 'sample': + if self.current_ui.state == "sample": self.current_ui.files.sample = self.selected - elif self.current_ui.state == 'ob': + elif self.current_ui.state == "ob": self.current_ui.files.ob = self.selected else: self.current_ui.files.df = self.selected parent_folder = os.path.dirname(os.path.dirname(self.selected[0])) self.current_ui.working_dir = parent_folder - self.current_ui.label.value = "{} files selected".format(len(self.selected)) + self.current_ui.label.value = f"{len(self.selected)} files selected" self.current_ui.next_button_ui.disabled = False - self.current_ui.next_button_ui.button_style = 'success' + self.current_ui.next_button_ui.button_style = "success" except AttributeError: pass @@ -71,9 +76,9 @@ class Files: class Panel: - layout = Layout(border='1px lightgray solid', margin='5px', padding='15px') - button_layout = Layout(margin='10px 5px 5px 5px') - label_layout = Layout(height='32px', padding='2px', width='300px') + layout = Layout(border="1px lightgray solid", margin="5px", padding="15px") + button_layout = Layout(margin="10px 5px 5px 5px") + label_layout = Layout(height="32px", padding="2px", width="300px") current_state_label_ui = None prev_button_ui = None @@ -81,12 +86,16 @@ class Panel: o_norm_handler = None df_panel = None - - def __init__(self, prev_button=False, next_button=True, state='sample', - working_dir='', - top_object=None, - gamma_coefficient=0.9): + def __init__( + self, + prev_button=False, + next_button=True, + state="sample", + working_dir="", + top_object=None, + gamma_coefficient=0.9, + ): self.prev_button = prev_button self.next_button = next_button self.state = state @@ -96,7 +105,6 @@ def __init__(self, prev_button=False, next_button=True, state='sample', self.gamma_threshold = gamma_coefficient def init_ui(self, files=None): - self.files = files self.__top_panel() @@ -105,45 +113,45 @@ def init_ui(self, files=None): self.__init_widgets() def __init_widgets(self): - _list = self.files.sample _label = "Sample" - _option = '(mandatory)' - if self.state == 'ob': + _option = "(mandatory)" + if self.state == "ob": _list = self.files.ob - _label = 'Open Beam' - elif self.state == 'df': + _label = "Open Beam" + elif self.state == "df": _list = self.files.df - _label = 'Dark Field' - _option = '(optional)' - self.label.value = "{} files selected".format(len(_list)) - self.title.value = "Select list of {} files {} ".format(_label, _option) - + _label = "Dark Field" + _option = "(optional)" + self.label.value = f"{len(_list)} files selected" + self.title.value = f"Select list of {_label} files {_option} " + if len(_list) > 0: self.next_button_ui.disabled = False - self.next_button_ui.button_style = 'success' - - if self.state == 'df': + self.next_button_ui.button_style = "success" + + if self.state == "df": self.next_button_ui.disabled = False - self.next_button_ui.button_style = 'success' + self.next_button_ui.button_style = "success" def __top_panel(self): - title_ui = widgets.HBox([widgets.Label("Instructions:", - layout=widgets.Layout(width='20%')), - widgets.Label("Select Samples Images and click NEXT", - layout=widgets.Layout(width='50%')), - ]) - - label_ui = widgets.HBox([widgets.Label("Sample selected:", - layout=widgets.Layout(width='20%')), - widgets.Label("None", - layout=widgets.Layout(width='50%')), - ]) + title_ui = widgets.HBox( + [ + widgets.Label("Instructions:", layout=widgets.Layout(width="20%")), + widgets.Label("Select Samples Images and click NEXT", layout=widgets.Layout(width="50%")), + ] + ) + + label_ui = widgets.HBox( + [ + widgets.Label("Sample selected:", layout=widgets.Layout(width="20%")), + widgets.Label("None", layout=widgets.Layout(width="50%")), + ] + ) self.title = title_ui.children[1] # "Select [Samples/OB/DF] Images [and click NEXT] self.label = label_ui.children[1] # number of samples selected - self.top_panel = widgets.VBox(children=[title_ui, label_ui], - layout=self.layout) + self.top_panel = widgets.VBox(children=[title_ui, label_ui], layout=self.layout) def prev_button_clicked(self, event): raise NotImplementedError @@ -154,34 +162,36 @@ def next_button_clicked(self, event): def __bottom_panel(self): list_ui = [] if self.prev_button: - self.prev_button_ui = widgets.Button(description="<< Previous Step", - tooltip='Click to move to previous step', - button_style='success', - disabled=False, - layout=widgets.Layout(width='20%')) + self.prev_button_ui = widgets.Button( + description="<< Previous Step", + tooltip="Click to move to previous step", + button_style="success", + disabled=False, + layout=widgets.Layout(width="20%"), + ) self.prev_button_ui.on_click(self.prev_button_clicked) list_ui.append(self.prev_button_ui) - self.current_state_label_ui = widgets.Label(" ", - layout=widgets.Layout(width='70%')) + self.current_state_label_ui = widgets.Label(" ", layout=widgets.Layout(width="70%")) list_ui.append(self.current_state_label_ui) if self.next_button: - self.next_button_ui = widgets.Button(description="Next Step>>", - tooltip='Click to move to next step', - button_style='warning', - disabled=True, - layout=widgets.Layout(width='20%')) + self.next_button_ui = widgets.Button( + description="Next Step>>", + tooltip="Click to move to next step", + button_style="warning", + disabled=True, + layout=widgets.Layout(width="20%"), + ) list_ui.append(self.next_button_ui) self.next_button_ui.on_click(self.next_button_clicked) self.bottom_panel = widgets.HBox(list_ui) def __file_selector(self): - self.file_selector = myFileSelectorPanel(instruction='', - start_dir=self.working_dir, - multiple=True, - current_ui=self) + self.file_selector = myFileSelectorPanel( + instruction="", start_dir=self.working_dir, multiple=True, current_ui=self + ) def show(self): display(self.top_panel) @@ -198,12 +208,11 @@ def nextStep(self): class WizardPanel: - label_layout = Layout(border='1px lighgray solide', height='35px', padding='8px', width='300px') + label_layout = Layout(border="1px lighgray solide", height="35px", padding="8px", width="300px") sample_panel = None def __init__(self, sample_panel=None): - display(widgets.Label("Selection of All Input Files", - layout=self.label_layout)) + display(widgets.Label("Selection of All Input Files", layout=self.label_layout)) self.sample_panel = sample_panel self.sample_panel.show() @@ -211,15 +220,13 @@ def __init__(self, sample_panel=None): class SampleSelectionPanel(Panel): - files = None o_norm = None - - def __init__(self, prev_button=False, next_button=True, working_dir='', top_object=None): - super(SampleSelectionPanel, self).__init__(prev_button=prev_button, - next_button=next_button, - working_dir=working_dir, - top_object=top_object) + + def __init__(self, prev_button=False, next_button=True, working_dir="", top_object=None): + super(SampleSelectionPanel, self).__init__( + prev_button=prev_button, next_button=next_button, working_dir=working_dir, top_object=top_object + ) # def __init__(self, prev_button=False, next_button=True, working_dir='', top_object=None, gamma_coefficient=None): # super(SampleSelectionPanel, self).__init__(prev_button=prev_button, @@ -236,33 +243,30 @@ def next_button_clicked(self, event): class OBSelectionPanel(Panel): - def __init__(self, working_dir='', top_object=None): - super(OBSelectionPanel, self).__init__(prev_button=True, state='ob', - working_dir=working_dir, - top_object=top_object) + def __init__(self, working_dir="", top_object=None): + super(OBSelectionPanel, self).__init__( + prev_button=True, state="ob", working_dir=working_dir, top_object=top_object + ) def next_button_clicked(self, event): self.remove() - _panel = DFSelectionPanel(working_dir=self.working_dir, - top_object=self.top_object) + _panel = DFSelectionPanel(working_dir=self.working_dir, top_object=self.top_object) _panel.init_ui(files=self.files) _panel.show() def prev_button_clicked(self, event): self.remove() - _panel = SampleSelectionPanel(working_dir=self.working_dir, - top_object=self.top_object) + _panel = SampleSelectionPanel(working_dir=self.working_dir, top_object=self.top_object) _panel.init_ui(files=self.files) _panel.show() + class DFSelectionPanel(Panel): - def __init__(self, working_dir='', top_object=None): + def __init__(self, working_dir="", top_object=None): self.working_dir = working_dir - super(DFSelectionPanel, self).__init__(prev_button=True, - next_button=True, - state='df', - working_dir=working_dir, - top_object=top_object) + super(DFSelectionPanel, self).__init__( + prev_button=True, next_button=True, state="df", working_dir=working_dir, top_object=top_object + ) def prev_button_clicked(self, event): self.remove() @@ -272,23 +276,23 @@ def prev_button_clicked(self, event): def next_button_clicked(self, event): self.remove() - o_norm_handler = NormalizationHandler(files=self.files, - working_dir=self.working_dir, - gamma_threshold=self.gamma_threshold) + o_norm_handler = NormalizationHandler( + files=self.files, working_dir=self.working_dir, gamma_threshold=self.gamma_threshold + ) o_norm_handler.load_data() self.top_object.o_norm_handler = o_norm_handler self.top_object.o_norm = o_norm_handler.o_norm -class NormalizationHandler(object): - + +class NormalizationHandler: data = None integrated_sample = [] - working_dir = '' + working_dir = "" o_norm = None normalized_data_array = [] - def __init__(self, files=None, working_dir='', gamma_threshold=0.9): + def __init__(self, files=None, working_dir="", gamma_threshold=0.9): self.files = files self.working_dir = working_dir self.data = Data() @@ -296,55 +300,58 @@ def __init__(self, files=None, working_dir='', gamma_threshold=0.9): def load_data(self): self.o_norm = Normalization() - + # sample list_sample = self.files.sample # self.o_norm.load(file=list_sample, notebook=True, auto_gamma_filter=False, # manual_gamma_filter=True, manual_gamma_threshold=self.gamma_threshold) self.o_norm.load(file=list_sample, notebook=True) - self.data.sample = self.o_norm.data['sample']['data'] + self.data.sample = self.o_norm.data["sample"]["data"] self.list_file_names = list_sample # ob list_ob = self.files.ob # self.o_norm.load(file=list_ob, data_type='ob', notebook=True, auto_gamma_filter=False, # manual_gamma_filter=True, manual_gamma_threshold=self.gamma_threshold) - self.o_norm.load(file=list_ob, data_type='ob', notebook=True) - self.data.ob = self.o_norm.data['ob']['data'] + self.o_norm.load(file=list_ob, data_type="ob", notebook=True) + self.data.ob = self.o_norm.data["ob"]["data"] # df list_df = self.files.df if list_df: # self.o_norm.load(file=list_df, data_type='df', notebook=True, auto_gamma_filter=False, # manual_gamma_filter=True, manual_gamma_threshold=self.gamma_threshold) - self.o_norm.load(file=list_df, data_type='df', notebook=True) - self.data.df = self.o_norm.data['df']['data'] + self.o_norm.load(file=list_df, data_type="df", notebook=True) + self.data.df = self.o_norm.data["df"]["data"] - def get_data(self, data_type='sample'): - if data_type == 'sample': + def get_data(self, data_type="sample"): + if data_type == "sample": return self.data.sample - elif data_type == 'ob': + elif data_type == "ob": return self.data.ob else: return self.data.df - - def plot_images(self, data_type='sample'): + def plot_images(self, data_type="sample"): sample_array = self.get_data(data_type=data_type) def _plot_images(index): _ = plt.figure(num=data_type, figsize=(5, 5)) ax_img = plt.subplot(111) - my_imshow= ax_img.imshow(sample_array[index], cmap='viridis') + my_imshow = ax_img.imshow(sample_array[index], cmap="viridis") plt.colorbar(my_imshow) - _ = widgets.interact(_plot_images, - index=widgets.IntSlider(min=0, - max=len(self.get_data(data_type=data_type)) - 1, - step=1, - value=0, - description='{} Index'.format(data_type), - continuous_update=False)) + _ = widgets.interact( + _plot_images, + index=widgets.IntSlider( + min=0, + max=len(self.get_data(data_type=data_type)) - 1, + step=1, + value=0, + description=f"{data_type} Index", + continuous_update=False, + ), + ) def calculate_integrated_sample(self): if len(self.data.sample) > 1: @@ -354,20 +361,23 @@ def calculate_integrated_sample(self): self.integrated_sample = np.squeeze(self.data.sample) def with_or_without_roi(self): - label1 = widgets.Label("Do you want to select a region of interest (ROI) that will make sure that the " + - "sample background matches the OB background") + label1 = widgets.Label( + "Do you want to select a region of interest (ROI) that will make sure that the " + + "sample background matches the OB background" + ) label2 = widgets.Label("-> Make sure your selection do not overlap your sample!") - box = widgets.HBox([widgets.Label("With or Without ROI?"), - widgets.RadioButtons(options=['yes', 'no'], - value='yes', - layout=widgets.Layout(width='50%'))]) + box = widgets.HBox( + [ + widgets.Label("With or Without ROI?"), + widgets.RadioButtons(options=["yes", "no"], value="yes", layout=widgets.Layout(width="50%")), + ] + ) self.with_or_without_radio_button = box.children[1] vertical = widgets.VBox([label1, label2, box]) display(vertical) def select_sample_roi(self): - - if self.with_or_without_radio_button.value == 'no': + if self.with_or_without_radio_button.value == "no": label2 = widgets.Label("-> You chose not to select any ROI! Next step: Normalization") display(label2) return @@ -384,66 +394,43 @@ def select_sample_roi(self): def plot_roi(x_left, y_top, width, height): _ = plt.figure(figsize=(5, 5)) ax_img = plt.subplot(111) - ax_img.imshow(_integrated_sample, - cmap='viridis', - interpolation=None) - - _rectangle = patches.Rectangle((x_left, y_top), - width, - height, - edgecolor='white', - linewidth=2, - fill=False) + ax_img.imshow(_integrated_sample, cmap="viridis", interpolation=None) + + _rectangle = patches.Rectangle((x_left, y_top), width, height, edgecolor="white", linewidth=2, fill=False) ax_img.add_patch(_rectangle) return [x_left, y_top, width, height] - self.roi_selection = widgets.interact(plot_roi, - x_left=widgets.IntSlider(min=0, - max=width, - step=1, - value=0, - description='X Left', - continuous_update=False), - y_top=widgets.IntSlider(min=0, - max=height, - value=0, - step=1, - description='Y Top', - continuous_update=False), - width=widgets.IntSlider(min=0, - max=width - 1, - step=1, - value=60, - description="Width", - continuous_update=False), - height=widgets.IntSlider(min=0, - max=height - 1, - step=1, - value=100, - description='Height', - continuous_update=False)) - + self.roi_selection = widgets.interact( + plot_roi, + x_left=widgets.IntSlider(min=0, max=width, step=1, value=0, description="X Left", continuous_update=False), + y_top=widgets.IntSlider(min=0, max=height, value=0, step=1, description="Y Top", continuous_update=False), + width=widgets.IntSlider( + min=0, max=width - 1, step=1, value=60, description="Width", continuous_update=False + ), + height=widgets.IntSlider( + min=0, max=height - 1, step=1, value=100, description="Height", continuous_update=False + ), + ) def run_normalization(self, dict_roi=None): - if dict_roi is None: - #try: + # try: self.o_norm.df_correction() self.o_norm.normalization(notebook=True) self.normalized_data_array = self.o_norm.get_normalized_data() - self.normalized_metadata_array = self.o_norm.data['sample']['metadata'] - #except: + self.normalized_metadata_array = self.o_norm.data["sample"]["metadata"] + # except: # display(HTML('Data Size ' + # 'do not Match (use bin_images.ipynb notebook to resize them)!')) else: _list_roi = [] for _key in dict_roi.keys(): _roi = dict_roi[_key] - x0 = _roi['x0'] - y0 = _roi['y0'] - x1 = _roi['x1'] - y1 = _roi['y1'] + x0 = _roi["x0"] + y0 = _roi["y0"] + x1 = _roi["x1"] + y1 = _roi["y1"] x_left = np.min([x0, x1]) y_top = np.min([y0, y1]) @@ -465,36 +452,37 @@ def run_normalization(self, dict_roi=None): self.o_norm.normalization(notebook=True) self.normalized_data_array = self.o_norm.get_normalized_data() - self.normalized_metadata_array = self.o_norm.data['sample']['metadata'] - #except: + self.normalized_metadata_array = self.o_norm.data["sample"]["metadata"] + # except: # display(HTML('Data Size ' + # 'do not Match (use bin_images.ipynb notebook to resize them)!')) - def select_export_folder(self, ipts_folder='./'): - + def select_export_folder(self, ipts_folder="./"): def display_file_selector_from_shared(ev): - start_dir = os.path.join(ipts_folder, 'shared') + start_dir = os.path.join(ipts_folder, "shared") self.output_folder_ui.remove() self.display_file_selector(start_dir=start_dir) def display_file_selector_from_home(ev): import getpass + _user = getpass.getuser() - start_dir = os.path.join('/SNS/users', _user) + start_dir = os.path.join("/SNS/users", _user) self.output_folder_ui.remove() self.display_file_selector(start_dir=start_dir) ipts = os.path.basename(self.working_dir) - button_layout = widgets.Layout(width='30%', - border='1px solid gray') + button_layout = widgets.Layout(width="30%", border="1px solid gray") - hbox = widgets.HBox([widgets.Button(description="Jump to {} Shared Folder".format(ipts), - button_style='success', - layout=button_layout), - widgets.Button(description="Jump to My Home Folder", - button_style='success', - layout=button_layout)]) + hbox = widgets.HBox( + [ + widgets.Button( + description=f"Jump to {ipts} Shared Folder", button_style="success", layout=button_layout + ), + widgets.Button(description="Jump to My Home Folder", button_style="success", layout=button_layout), + ] + ) go_to_shared_button_ui = hbox.children[0] go_to_home_button_ui = hbox.children[1] @@ -505,17 +493,14 @@ def display_file_selector_from_home(ev): self.display_file_selector() - def display_file_selector(self, start_dir=''): - self.output_folder_ui = fileselector.FileSelectorPanel(instruction='Select Output Folder', - start_dir=start_dir, - multiple=False, - type='directory') + def display_file_selector(self, start_dir=""): + self.output_folder_ui = fileselector.FileSelectorPanel( + instruction="Select Output Folder", start_dir=start_dir, multiple=False, type="directory" + ) self.output_folder_ui.show() - def export(self): - - base_folder = os.path.basename(os.path.dirname(self.list_file_names[0])) + '_normalized' + base_folder = os.path.basename(os.path.dirname(self.list_file_names[0])) + "_normalized" output_folder = os.path.abspath(os.path.join(self.output_folder_ui.selected, base_folder)) utilities.make_dir(dir=output_folder) @@ -526,27 +511,36 @@ def export(self): for _index, _file in enumerate(self.list_file_names): basename = os.path.basename(_file) _base, _ext = os.path.splitext(basename) - output_file_name = os.path.join(output_folder, _base + '.tiff') - file_handler.make_tiff(filename=output_file_name, - data=self.normalized_data_array[_index], - metadata=self.normalized_metadata_array[_index]) + output_file_name = os.path.join(output_folder, _base + ".tiff") + file_handler.make_tiff( + filename=output_file_name, + data=self.normalized_data_array[_index], + metadata=self.normalized_metadata_array[_index], + ) w.value = _index + 1 - display(HTML('The normalized images have been ' + - 'created in ' + output_folder + '')) + display( + HTML( + 'The normalized images have been ' + + "created in " + + output_folder + + "" + ) + ) -class GammaCoefficient(object): +class GammaCoefficient: def select_gamma_coefficient(self): - self.gamma_coeff_ui = widgets.HBox([widgets.Label("Gamma Coefficient:", - layout=widgets.Layout(width="20%")), - widgets.FloatSlider(value=gamma_filtering_coefficient, - min=0, - max=1, - layout=widgets.Layout(width="50%"))]) + self.gamma_coeff_ui = widgets.HBox( + [ + widgets.Label("Gamma Coefficient:", layout=widgets.Layout(width="20%")), + widgets.FloatSlider( + value=gamma_filtering_coefficient, min=0, max=1, layout=widgets.Layout(width="50%") + ), + ] + ) display(self.gamma_coeff_ui) def get_coefficient(self): return self.gamma_coeff_ui.children[1].value - \ No newline at end of file diff --git a/notebooks/__code/normalization/get.py b/notebooks/__code/normalization/get.py index 56106794..10cd67c3 100755 --- a/notebooks/__code/normalization/get.py +++ b/notebooks/__code/normalization/get.py @@ -1,25 +1,24 @@ import os + from ipywidgets import widgets -import numpy as np +from __code import file_handler from __code._utilities.get import Get as TopGet - from __code.normalization import LOG_FILENAME -from __code import file_handler + from . import ROI_BUTTON_DESCRIPTION, ROI_ICON -LIST_METADATA_NOT_INSTRUMENT_RELATED = ['filename', 'time_stamp', 'time_stamp_user_format'] +LIST_METADATA_NOT_INSTRUMENT_RELATED = ["filename", "time_stamp", "time_stamp_user_format"] class Get(TopGet): - def log_file_name(self): return TopGet.log_file_name(LOG_FILENAME) def active_tabs(self): active_acquisition_tab = self.parent.acquisition_tab.selected_index config_tab_dict = self.parent.config_tab_dict[active_acquisition_tab] - active_config_tab = config_tab_dict['config_tab_id'].selected_index + active_config_tab = config_tab_dict["config_tab_id"].selected_index return [active_acquisition_tab, active_config_tab] def active_tab_acquisition_key(self): @@ -32,27 +31,28 @@ def active_tab_acquisition_key(self): def active_tab_config_key(self): [active_acquisition, _] = self.active_tabs() all_config_tab_of_acquisition = self.parent.config_tab_dict[active_acquisition] - current_config_tab = all_config_tab_of_acquisition['config_tab_id'] + current_config_tab = all_config_tab_of_acquisition["config_tab_id"] current_config_tab_index = current_config_tab.selected_index return current_config_tab.get_title(current_config_tab_index) def time_before_and_after_of_this_config(self, current_config=None): - [time_before_selected_ui, time_after_selected_ui] = \ - self.time_before_and_after_ui_of_this_config(current_config=current_config) + [time_before_selected_ui, time_after_selected_ui] = self.time_before_and_after_ui_of_this_config( + current_config=current_config + ) return [time_before_selected_ui.value, time_after_selected_ui.value] def time_before_and_after_ui_of_this_config(self, current_config=None): if current_config is None: current_config = self.current_config_of_widgets_id() - return [current_config['time_slider_before_experiment'], current_config['time_slider_after_experiment']] + return [current_config["time_slider_before_experiment"], current_config["time_slider_after_experiment"]] def time_before_and_after_message_ui_of_this_config(self): current_config = self.current_config_of_widgets_id() - return current_config['time_slider_before_message'] + return current_config["time_slider_before_message"] def experiment_label_ui_of_this_config(self): current_config = self.current_config_of_widgets_id() - return current_config['experiment_label'] + return current_config["experiment_label"] def current_config_dict(self): active_acquisition = self.active_tab_acquisition_key() @@ -80,8 +80,8 @@ def max_time_elapse_before_experiment(self): dict_for_this_config = final_full_master_dict[acquisition_key][config_key] # retrieve first and last sample file for this config and for this acquisition - first_sample_image_time_stamp = dict_for_this_config['first_images']['sample']['time_stamp'] - first_ob = dict_for_this_config['first_images']['ob']['time_stamp'] + first_sample_image_time_stamp = dict_for_this_config["first_images"]["sample"]["time_stamp"] + first_ob = dict_for_this_config["first_images"]["ob"]["time_stamp"] if first_ob > first_sample_image_time_stamp: return 0 @@ -101,8 +101,8 @@ def max_time_elapse_after_experiment(self): dict_for_this_config = final_full_master_dict[acquisition_key][config_key] # retrieve first and last sample file for this config and for this acquisition - last_sample_images_time_stamp = dict_for_this_config['last_images']['sample']['time_stamp'] - last_ob = dict_for_this_config['last_images']['ob']['time_stamp'] + last_sample_images_time_stamp = dict_for_this_config["last_images"]["sample"]["time_stamp"] + last_ob = dict_for_this_config["last_images"]["ob"]["time_stamp"] if last_ob < last_sample_images_time_stamp: return 0 @@ -112,62 +112,65 @@ def max_time_elapse_after_experiment(self): def full_layout_for_this_config(self, dict_config): config_widgets_id_dict = {} - def _make_list_basename_file(list_name='list_sample'): - return [os.path.basename(_entry['filename']) for _entry in dict_config[list_name]] + def _make_list_basename_file(list_name="list_sample"): + return [os.path.basename(_entry["filename"]) for _entry in dict_config[list_name]] - def _make_full_file_name(list_name='list_sample'): - return [_entry['filename'] for _entry in dict_config[list_name]] + def _make_full_file_name(list_name="list_sample"): + return [_entry["filename"] for _entry in dict_config[list_name]] - list_sample = _make_full_file_name(list_name='list_sample') - list_ob = _make_full_file_name(list_name='list_ob') - list_df = _make_full_file_name(list_name='list_df') + list_sample = _make_full_file_name(list_name="list_sample") + list_ob = _make_full_file_name(list_name="list_ob") + list_df = _make_full_file_name(list_name="list_df") # normalize or not this configuration - use_this_config_widget = widgets.Checkbox(description="Normalize this configuration", - value=True, - layout=widgets.Layout(width="100%")) - use_this_config_widget.observe(self.parent.update_use_this_config_widget, names='value') - config_widgets_id_dict['use_this_config'] = use_this_config_widget + use_this_config_widget = widgets.Checkbox( + description="Normalize this configuration", value=True, layout=widgets.Layout(width="100%") + ) + use_this_config_widget.observe(self.parent.update_use_this_config_widget, names="value") + config_widgets_id_dict["use_this_config"] = use_this_config_widget # use custom time range check box - check_box_user_time_range = widgets.Checkbox(description="Use selected OB & DF from custom time range", - value=False, - layout=widgets.Layout(width="35%")) - config_widgets_id_dict['use_custom_time_range_checkbox'] = check_box_user_time_range - check_box_user_time_range.observe(self.parent.update_config_widgets, names='value') - - [max_time_elapse_before_experiment, - max_time_elapse_after_experiment] = self.parent.calculate_max_time_before_and_after_exp_for_this_config( - dict_config) - - hori_layout1 = widgets.HBox([check_box_user_time_range, - widgets.FloatSlider(value=-max_time_elapse_before_experiment - 0.1, - min=-max_time_elapse_before_experiment - 0.1, - max=0, - step=0.1, - readout=False, - layout=widgets.Layout(width="30%", - visibility='hidden')), - widgets.Label(" <<< EXPERIMENT >>> ", - layout=widgets.Layout(width="20%", - visibility='hidden')), - widgets.FloatSlider(value=max_time_elapse_before_experiment + 0.1, - min=0, - max=max_time_elapse_after_experiment + 0.1, - step=0.1, - readout=False, - layout=widgets.Layout(width="30%", - visibility='hidden')), - ]) + check_box_user_time_range = widgets.Checkbox( + description="Use selected OB & DF from custom time range", value=False, layout=widgets.Layout(width="35%") + ) + config_widgets_id_dict["use_custom_time_range_checkbox"] = check_box_user_time_range + check_box_user_time_range.observe(self.parent.update_config_widgets, names="value") + + [max_time_elapse_before_experiment, max_time_elapse_after_experiment] = ( + self.parent.calculate_max_time_before_and_after_exp_for_this_config(dict_config) + ) + + hori_layout1 = widgets.HBox( + [ + check_box_user_time_range, + widgets.FloatSlider( + value=-max_time_elapse_before_experiment - 0.1, + min=-max_time_elapse_before_experiment - 0.1, + max=0, + step=0.1, + readout=False, + layout=widgets.Layout(width="30%", visibility="hidden"), + ), + widgets.Label(" <<< EXPERIMENT >>> ", layout=widgets.Layout(width="20%", visibility="hidden")), + widgets.FloatSlider( + value=max_time_elapse_before_experiment + 0.1, + min=0, + max=max_time_elapse_after_experiment + 0.1, + step=0.1, + readout=False, + layout=widgets.Layout(width="30%", visibility="hidden"), + ), + ] + ) self.parent.hori_layout1 = hori_layout1 self.parent.time_before_slider = hori_layout1.children[1] self.parent.time_after_slider = hori_layout1.children[3] self.parent.experiment_label = hori_layout1.children[2] - self.parent.time_after_slider.observe(self.parent.update_time_range_event, names='value') - self.parent.time_before_slider.observe(self.parent.update_time_range_event, names='value') - config_widgets_id_dict['time_slider_before_experiment'] = hori_layout1.children[1] - config_widgets_id_dict['time_slider_after_experiment'] = hori_layout1.children[3] - config_widgets_id_dict['experiment_label'] = hori_layout1.children[2] + self.parent.time_after_slider.observe(self.parent.update_time_range_event, names="value") + self.parent.time_before_slider.observe(self.parent.update_time_range_event, names="value") + config_widgets_id_dict["time_slider_before_experiment"] = hori_layout1.children[1] + config_widgets_id_dict["time_slider_after_experiment"] = hori_layout1.children[3] + config_widgets_id_dict["experiment_label"] = hori_layout1.children[2] nbr_sample = len(list_sample) nbr_ob = len(list_ob) @@ -177,56 +180,58 @@ def get_html_table(): force_combine = force_ui.value how_to_combine = how_to_ui.value - if force_combine == 'yes': + if force_combine == "yes": description = f"OBs will be combined using {how_to_combine}" else: - description = f"OBs won't be combined! Each sample will use 1 OB" - - html_table = f"" \ - "" \ - "" \ - "" \ - "" \ - "" \ - "" \ - "" \ - f"" \ - f"" \ - f"" \ - f"" \ - "" \ - "
Nbr of SamplesNbr of OBsNbr of DCsDescription of Process
{nbr_sample}{nbr_ob}{nbr_df}{description}
" + description = "OBs won't be combined! Each sample will use 1 OB" + + html_table = ( + f"" + "" + "" + "" + "" + "" + "" + "" + f"" + f"" + f"" + f"" + "" + "
Nbr of SamplesNbr of OBsNbr of DCsDescription of Process
{nbr_sample}{nbr_ob}{nbr_df}{description}
" + ) return html_table # do you want to combine if nbr_sample != nbr_ob: force_ui_disabled = True - html_string = "INFO: the option to combine or not is disabled as the number of " \ - "sample " \ - "and " \ - "obs do not match. The OBs will be combined!" + html_string = ( + "INFO: the option to combine or not is disabled as the number of " + "sample " + "and " + "obs do not match. The OBs will be combined!" + ) else: force_ui_disabled = False html_string = "" - force_ui = widgets.RadioButtons(options=['yes', 'no'], - value='yes', - disabled=force_ui_disabled, - layout=widgets.Layout(width='200px')) - force_ui.observe(self.parent.do_you_want_to_combine_changed, names='value') - combine_or_no_ui = widgets.VBox([widgets.HTML("Do you want to combine the OBs?"), - force_ui, - widgets.HTML(html_string)]) - config_widgets_id_dict['force_combine'] = force_ui - config_widgets_id_dict['force_combine_message'] = combine_or_no_ui.children[2] + force_ui = widgets.RadioButtons( + options=["yes", "no"], value="yes", disabled=force_ui_disabled, layout=widgets.Layout(width="200px") + ) + force_ui.observe(self.parent.do_you_want_to_combine_changed, names="value") + combine_or_no_ui = widgets.VBox( + [widgets.HTML("Do you want to combine the OBs?"), force_ui, widgets.HTML(html_string)] + ) + config_widgets_id_dict["force_combine"] = force_ui + config_widgets_id_dict["force_combine_message"] = combine_or_no_ui.children[2] # how to combine widgets - how_to_ui = widgets.RadioButtons(options=['median', 'mean'], - value='median', - layout=widgets.Layout(width='200px')) - how_to_ui.observe(self.parent.how_to_combine_changed, names='value') - how_to_combine_ui = widgets.VBox([widgets.HTML("How to combine the OBs?"), - how_to_ui]) - config_widgets_id_dict['how_to_combine'] = how_to_ui + how_to_ui = widgets.RadioButtons( + options=["median", "mean"], value="median", layout=widgets.Layout(width="200px") + ) + how_to_ui.observe(self.parent.how_to_combine_changed, names="value") + how_to_combine_ui = widgets.VBox([widgets.HTML("How to combine the OBs?"), how_to_ui]) + config_widgets_id_dict["how_to_combine"] = how_to_ui # table table_title = widgets.HTML("

S U M M A R Y
") @@ -234,93 +239,108 @@ def get_html_table(): html_table = "" table = widgets.HTML(value=html_table) table.value = get_html_table() - config_widgets_id_dict['table'] = table + config_widgets_id_dict["table"] = table # use all OB and DF - hori_layout2 = widgets.HBox([widgets.Label(" ", - layout=widgets.Layout(width="20%")), - widgets.HTML("", - layout=widgets.Layout(width="80%"))]) + hori_layout2 = widgets.HBox( + [ + widgets.Label(" ", layout=widgets.Layout(width="20%")), + widgets.HTML("", layout=widgets.Layout(width="80%")), + ] + ) self.parent.hori_layout2 = hori_layout2 self.parent.time_before_and_after_message = hori_layout2.children[1] - config_widgets_id_dict['time_slider_before_message'] = hori_layout2.children[1] + config_widgets_id_dict["time_slider_before_message"] = hori_layout2.children[1] # table of metadata [metadata_table_label, metadata_table] = self.parent.populate_metadata_table(dict_config) - select_width = '100%' - sample_list_of_runs = widgets.VBox([widgets.HTML("List of Sample runs (ALL RUNS listed here will be " - "used!"), - widgets.Select(options=list_sample, - layout=widgets.Layout(width=select_width, - height='300px'))], - layout=widgets.Layout(width="100%")) + select_width = "100%" + sample_list_of_runs = widgets.VBox( + [ + widgets.HTML("List of Sample runs (ALL RUNS listed here will be " "used!"), + widgets.Select(options=list_sample, layout=widgets.Layout(width=select_width, height="300px")), + ], + layout=widgets.Layout(width="100%"), + ) # self.list_of_runs_ui = box0.children[1] - ob_list_of_runs = widgets.VBox([widgets.HTML("List of OBs. Only the selected images will be used!"), - widgets.SelectMultiple(options=list_ob, - value=list_ob, - layout=widgets.Layout(width=select_width, - height='300px'))], - layout=widgets.Layout(width="100%")) - ob_list_of_runs.children[1].observe(self.parent.selection_of_ob_changed, names='value') - df_list_of_runs = widgets.VBox([widgets.HTML("List of DCs.Only the selected images will be used!"), - widgets.SelectMultiple(options=list_df, - value=list_df, - layout=widgets.Layout(width=select_width, - height='300px'))], - layout=widgets.Layout(width="100%")) + ob_list_of_runs = widgets.VBox( + [ + widgets.HTML("List of OBs. Only the selected images will be used!"), + widgets.SelectMultiple( + options=list_ob, value=list_ob, layout=widgets.Layout(width=select_width, height="300px") + ), + ], + layout=widgets.Layout(width="100%"), + ) + ob_list_of_runs.children[1].observe(self.parent.selection_of_ob_changed, names="value") + df_list_of_runs = widgets.VBox( + [ + widgets.HTML("List of DCs.Only the selected images will be used!"), + widgets.SelectMultiple( + options=list_df, value=list_df, layout=widgets.Layout(width=select_width, height="300px") + ), + ], + layout=widgets.Layout(width="100%"), + ) red_hr_line = widgets.HTML("
") black_hr_line = widgets.HTML("
") # select ROI - select_roi_button = widgets.Button(description=ROI_BUTTON_DESCRIPTION, - button_style='', - layout=widgets.Layout(width="100%"), - icon=ROI_ICON) - select_roi_button.style.button_color = 'lightgreen' - select_roi_button.style.font_weight = 'bold' + select_roi_button = widgets.Button( + description=ROI_BUTTON_DESCRIPTION, button_style="", layout=widgets.Layout(width="100%"), icon=ROI_ICON + ) + select_roi_button.style.button_color = "lightgreen" + select_roi_button.style.font_weight = "bold" select_roi_button.on_click(self.parent.roi_button_clicked) - config_widgets_id_dict['select_roi_button'] = select_roi_button - - list_runs_layout = widgets.VBox([sample_list_of_runs, - black_hr_line, - ob_list_of_runs, - combine_or_no_ui, - black_hr_line, - how_to_combine_ui, - black_hr_line, - df_list_of_runs, - red_hr_line, - select_roi_button, - red_hr_line, - table_title, - table]) - config_widgets_id_dict['list_of_sample_runs'] = sample_list_of_runs.children[1] - config_widgets_id_dict['list_of_ob'] = ob_list_of_runs.children[1] - config_widgets_id_dict['list_of_df'] = df_list_of_runs.children[1] - - verti_layout = widgets.VBox([use_this_config_widget, - hori_layout1, - hori_layout2, - black_hr_line, - metadata_table_label, - metadata_table, - red_hr_line, - list_runs_layout]) - - return {'verti_layout': verti_layout, 'config_widgets_id_dict': config_widgets_id_dict} + config_widgets_id_dict["select_roi_button"] = select_roi_button + + list_runs_layout = widgets.VBox( + [ + sample_list_of_runs, + black_hr_line, + ob_list_of_runs, + combine_or_no_ui, + black_hr_line, + how_to_combine_ui, + black_hr_line, + df_list_of_runs, + red_hr_line, + select_roi_button, + red_hr_line, + table_title, + table, + ] + ) + config_widgets_id_dict["list_of_sample_runs"] = sample_list_of_runs.children[1] + config_widgets_id_dict["list_of_ob"] = ob_list_of_runs.children[1] + config_widgets_id_dict["list_of_df"] = df_list_of_runs.children[1] + + verti_layout = widgets.VBox( + [ + use_this_config_widget, + hori_layout1, + hori_layout2, + black_hr_line, + metadata_table_label, + metadata_table, + red_hr_line, + list_runs_layout, + ] + ) + + return {"verti_layout": verti_layout, "config_widgets_id_dict": config_widgets_id_dict} @staticmethod def list_of_tiff_files(folder=""): - list_of_tiff_files = file_handler.get_list_of_files(folder=folder, - extension='tiff') + list_of_tiff_files = file_handler.get_list_of_files(folder=folder, extension="tiff") return list_of_tiff_files @staticmethod def get_instrument_metadata_only(metadata_dict): _clean_dict = {} for _key in metadata_dict.keys(): - if not _key in LIST_METADATA_NOT_INSTRUMENT_RELATED: + if _key not in LIST_METADATA_NOT_INSTRUMENT_RELATED: _clean_dict[_key] = metadata_dict[_key] return _clean_dict diff --git a/notebooks/__code/normalization/metadata_handler.py b/notebooks/__code/normalization/metadata_handler.py index 4be03842..0a1dcaa8 100755 --- a/notebooks/__code/normalization/metadata_handler.py +++ b/notebooks/__code/normalization/metadata_handler.py @@ -1,11 +1,9 @@ -from IPython.display import display, HTML import collections -import numpy as np -import logging from enum import Enum -from __code import file_handler -from __code import metadata_handler +from IPython.display import HTML, display + +from __code import file_handler, metadata_handler from __code._utilities.dictionary import combine_dictionaries @@ -21,24 +19,28 @@ def __str__(self): return self.value -METADATA_KEYS = {'ob' : [MetadataName.EXPOSURE_TIME, - MetadataName.DETECTOR_MANUFACTURER, - MetadataName.APERTURE_HR, - MetadataName.APERTURE_HL, - MetadataName.APERTURE_VT, - MetadataName.APERTURE_VB], - 'df' : [MetadataName.EXPOSURE_TIME, - MetadataName.DETECTOR_MANUFACTURER], - 'all': [MetadataName.EXPOSURE_TIME, - MetadataName.DETECTOR_MANUFACTURER, - MetadataName.APERTURE_HR, - MetadataName.APERTURE_HL, - MetadataName.APERTURE_VT, - MetadataName.APERTURE_VB]} +METADATA_KEYS = { + "ob": [ + MetadataName.EXPOSURE_TIME, + MetadataName.DETECTOR_MANUFACTURER, + MetadataName.APERTURE_HR, + MetadataName.APERTURE_HL, + MetadataName.APERTURE_VT, + MetadataName.APERTURE_VB, + ], + "df": [MetadataName.EXPOSURE_TIME, MetadataName.DETECTOR_MANUFACTURER], + "all": [ + MetadataName.EXPOSURE_TIME, + MetadataName.DETECTOR_MANUFACTURER, + MetadataName.APERTURE_HR, + MetadataName.APERTURE_HL, + MetadataName.APERTURE_VT, + MetadataName.APERTURE_VB, + ], +} class MetadataHandler: - @staticmethod def retrieve_metadata(list_of_files=None, display_infos=False, label=""): """ @@ -57,32 +59,44 @@ def retrieve_metadata(list_of_files=None, display_infos=False, label=""): _time_metadata_dict = MetadataHandler._reformat_dict(dictionary=_dict) _beamline_metadata_dict = MetadataHandler.retrieve_beamline_metadata(list_of_files) - _metadata_dict = combine_dictionaries(master_dictionary=_time_metadata_dict, - servant_dictionary=_beamline_metadata_dict) + _metadata_dict = combine_dictionaries( + master_dictionary=_time_metadata_dict, servant_dictionary=_beamline_metadata_dict + ) if display_infos: - display(HTML('Nbr of images: ' + str(len(_metadata_dict)) + - 'First image was taken at : ' + \ - _metadata_dict[0]['time_stamp_user_format'] + '')) + display( + HTML('Nbr of images: ' + str(len(_metadata_dict)) + "First image was taken at : ' + + _metadata_dict[0]["time_stamp_user_format"] + + "" + ) + ) last_index = len(_metadata_dict) - 1 - display(HTML('Last image was taken at : ' + \ - _metadata_dict[last_index]['time_stamp_user_format'] + '')) + display( + HTML( + 'Last image was taken at : ' + + _metadata_dict[last_index]["time_stamp_user_format"] + + "" + ) + ) return _metadata_dict @staticmethod def retrieve_beamline_metadata(list_files): """list of metadata to retrieve is:000 - - acquisition time -> 65027 - - detector type -> 65026 (Manufacturer) - - slits positions -> - - aperture value + - acquisition time -> 65027 + - detector type -> 65026 (Manufacturer) + - slits positions -> + - aperture value """ - list_metadata = METADATA_KEYS['all'] - _dict = metadata_handler.MetadataHandler.retrieve_metadata(list_files=list_files, - list_metadata=list_metadata, - using_enum_object=True) + list_metadata = METADATA_KEYS["all"] + _dict = metadata_handler.MetadataHandler.retrieve_metadata( + list_files=list_files, list_metadata=list_metadata, using_enum_object=True + ) for _file_key in _dict.keys(): _file_dict = {} @@ -95,7 +109,7 @@ def retrieve_beamline_metadata(list_files): except ValueError: _value = split_raw_value[1] finally: - _file_dict[_pv.value] = {'value': _value, 'name': _pv.name} + _file_dict[_pv.value] = {"value": _value, "name": _pv.name} else: _file_dict[_pv.value] = {} _dict[_file_key] = _file_dict @@ -115,12 +129,14 @@ def _reformat_dict(dictionary={}): } """ formatted_dictionary = collections.OrderedDict() - list_files = dictionary['list_images'] - list_time_stamp = dictionary['list_time_stamp'] - list_time_stamp_user_format = dictionary['list_time_stamp_user_format'] + list_files = dictionary["list_images"] + list_time_stamp = dictionary["list_time_stamp"] + list_time_stamp_user_format = dictionary["list_time_stamp_user_format"] for _index, _file in enumerate(list_files): - formatted_dictionary[_index] = {'filename' : _file, - 'time_stamp' : list_time_stamp[_index], - 'time_stamp_user_format': list_time_stamp_user_format[_index]} + formatted_dictionary[_index] = { + "filename": _file, + "time_stamp": list_time_stamp[_index], + "time_stamp_user_format": list_time_stamp_user_format[_index], + } return formatted_dictionary diff --git a/notebooks/__code/normalization/normalization.py b/notebooks/__code/normalization/normalization.py index b767fec8..31e48f1e 100755 --- a/notebooks/__code/normalization/normalization.py +++ b/notebooks/__code/normalization/normalization.py @@ -1,24 +1,20 @@ import os -import matplotlib.patches as patches -import matplotlib.pyplot as plt -import numpy as np -from IPython.display import HTML - -from ipywidgets import widgets, Layout -from IPython.display import display +import numpy as np +from IPython.display import HTML, display +from ipywidgets import Layout, widgets from NeuNorm.normalization import Normalization from NeuNorm.roi import ROI -from __code import utilities, file_handler +from __code import file_handler +from __code._utilities.file import make_or_increment_folder_name from __code.config import gamma_filtering_coefficient from __code.ipywe import fileselector -from __code._utilities.file import make_or_increment_folder_name def close(w): "recursively close a widget" - if hasattr(w, 'children'): + if hasattr(w, "children"): for c in w.children: close(c) continue @@ -27,34 +23,41 @@ def close(w): class myFileSelectorPanel(fileselector.FileSelectorPanel): - def __init__(self, instruction, start_dir=".", type='file', - next=None, - multiple=False, - newdir_toolbar_button=False, - current_ui=None): - super(myFileSelectorPanel, self).__init__(instruction, - start_dir=start_dir, - type=type, - next=next, - multiple=multiple, - newdir_toolbar_button=newdir_toolbar_button) + def __init__( + self, + instruction, + start_dir=".", + type="file", + next=None, + multiple=False, + newdir_toolbar_button=False, + current_ui=None, + ): + super(myFileSelectorPanel, self).__init__( + instruction, + start_dir=start_dir, + type=type, + next=next, + multiple=multiple, + newdir_toolbar_button=newdir_toolbar_button, + ) self.current_ui = current_ui def validate(self, s): super(myFileSelectorPanel, self).validate(s) try: - if self.current_ui.state == 'sample': + if self.current_ui.state == "sample": self.current_ui.files.sample = self.selected - elif self.current_ui.state == 'ob': + elif self.current_ui.state == "ob": self.current_ui.files.ob = self.selected else: self.current_ui.files.df = self.selected parent_folder = os.path.dirname(os.path.dirname(self.selected[0])) self.current_ui.working_dir = parent_folder - self.current_ui.label.value = "{} files selected".format(len(self.selected)) + self.current_ui.label.value = f"{len(self.selected)} files selected" self.current_ui.next_button_ui.disabled = False - self.current_ui.next_button_ui.button_style = 'success' + self.current_ui.next_button_ui.button_style = "success" except AttributeError: pass @@ -72,9 +75,9 @@ class Files: class Panel: - layout = Layout(border='1px lightgray solid', margin='5px', padding='15px') - button_layout = Layout(margin='10px 5px 5px 5px') - label_layout = Layout(height='32px', padding='2px', width='300px') + layout = Layout(border="1px lightgray solid", margin="5px", padding="15px") + button_layout = Layout(margin="10px 5px 5px 5px") + label_layout = Layout(height="32px", padding="2px", width="300px") current_state_label_ui = None prev_button_ui = None @@ -82,12 +85,16 @@ class Panel: o_norm_handler = None df_panel = None - - def __init__(self, prev_button=False, next_button=True, state='sample', - working_dir='', - top_object=None, - gamma_coefficient=0.9): + def __init__( + self, + prev_button=False, + next_button=True, + state="sample", + working_dir="", + top_object=None, + gamma_coefficient=0.9, + ): self.prev_button = prev_button self.next_button = next_button self.state = state @@ -97,7 +104,6 @@ def __init__(self, prev_button=False, next_button=True, state='sample', self.gamma_threshold = gamma_coefficient def init_ui(self, files=None): - self.files = files self.__top_panel() @@ -106,45 +112,45 @@ def init_ui(self, files=None): self.__init_widgets() def __init_widgets(self): - _list = self.files.sample _label = "Sample" - _option = '(mandatory)' - if self.state == 'ob': + _option = "(mandatory)" + if self.state == "ob": _list = self.files.ob - _label = 'Open Beam' - elif self.state == 'df': + _label = "Open Beam" + elif self.state == "df": _list = self.files.df - _label = 'Dark Field' - _option = '(optional)' - self.label.value = "{} files selected".format(len(_list)) - self.title.value = "Select list of {} files {} ".format(_label, _option) - + _label = "Dark Field" + _option = "(optional)" + self.label.value = f"{len(_list)} files selected" + self.title.value = f"Select list of {_label} files {_option} " + if len(_list) > 0: self.next_button_ui.disabled = False - self.next_button_ui.button_style = 'success' - - if self.state == 'df': + self.next_button_ui.button_style = "success" + + if self.state == "df": self.next_button_ui.disabled = False - self.next_button_ui.button_style = 'success' + self.next_button_ui.button_style = "success" def __top_panel(self): - title_ui = widgets.HBox([widgets.Label("Instructions:", - layout=widgets.Layout(width='20%')), - widgets.Label("Select Samples Images and click NEXT", - layout=widgets.Layout(width='50%')), - ]) - - label_ui = widgets.HBox([widgets.Label("Sample selected:", - layout=widgets.Layout(width='20%')), - widgets.Label("None", - layout=widgets.Layout(width='50%')), - ]) + title_ui = widgets.HBox( + [ + widgets.Label("Instructions:", layout=widgets.Layout(width="20%")), + widgets.Label("Select Samples Images and click NEXT", layout=widgets.Layout(width="50%")), + ] + ) + + label_ui = widgets.HBox( + [ + widgets.Label("Sample selected:", layout=widgets.Layout(width="20%")), + widgets.Label("None", layout=widgets.Layout(width="50%")), + ] + ) self.title = title_ui.children[1] # "Select [Samples/OB/DF] Images [and click NEXT] self.label = label_ui.children[1] # number of samples selected - self.top_panel = widgets.VBox(children=[title_ui, label_ui], - layout=self.layout) + self.top_panel = widgets.VBox(children=[title_ui, label_ui], layout=self.layout) def prev_button_clicked(self, event): raise NotImplementedError @@ -155,34 +161,36 @@ def next_button_clicked(self, event): def __bottom_panel(self): list_ui = [] if self.prev_button: - self.prev_button_ui = widgets.Button(description="<< Previous Step", - tooltip='Click to move to previous step', - button_style='success', - disabled=False, - layout=widgets.Layout(width='20%')) + self.prev_button_ui = widgets.Button( + description="<< Previous Step", + tooltip="Click to move to previous step", + button_style="success", + disabled=False, + layout=widgets.Layout(width="20%"), + ) self.prev_button_ui.on_click(self.prev_button_clicked) list_ui.append(self.prev_button_ui) - self.current_state_label_ui = widgets.Label(" ", - layout=widgets.Layout(width='70%')) + self.current_state_label_ui = widgets.Label(" ", layout=widgets.Layout(width="70%")) list_ui.append(self.current_state_label_ui) if self.next_button: - self.next_button_ui = widgets.Button(description="Next Step>>", - tooltip='Click to move to next step', - button_style='warning', - disabled=True, - layout=widgets.Layout(width='20%')) + self.next_button_ui = widgets.Button( + description="Next Step>>", + tooltip="Click to move to next step", + button_style="warning", + disabled=True, + layout=widgets.Layout(width="20%"), + ) list_ui.append(self.next_button_ui) self.next_button_ui.on_click(self.next_button_clicked) self.bottom_panel = widgets.HBox(list_ui) def __file_selector(self): - self.file_selector = myFileSelectorPanel(instruction='', - start_dir=self.working_dir, - multiple=True, - current_ui=self) + self.file_selector = myFileSelectorPanel( + instruction="", start_dir=self.working_dir, multiple=True, current_ui=self + ) def show(self): display(self.top_panel) @@ -199,12 +207,11 @@ def nextStep(self): class WizardPanel: - label_layout = Layout(border='1px lighgray solide', height='35px', padding='8px', width='300px') + label_layout = Layout(border="1px lighgray solide", height="35px", padding="8px", width="300px") sample_panel = None def __init__(self, sample_panel=None): - display(widgets.Label("Selection of All Input Files", - layout=self.label_layout)) + display(widgets.Label("Selection of All Input Files", layout=self.label_layout)) self.sample_panel = sample_panel self.sample_panel.show() @@ -212,15 +219,13 @@ def __init__(self, sample_panel=None): class SampleSelectionPanel(Panel): - files = None o_norm = None - - def __init__(self, prev_button=False, next_button=True, working_dir='', top_object=None): - super(SampleSelectionPanel, self).__init__(prev_button=prev_button, - next_button=next_button, - working_dir=working_dir, - top_object=top_object) + + def __init__(self, prev_button=False, next_button=True, working_dir="", top_object=None): + super(SampleSelectionPanel, self).__init__( + prev_button=prev_button, next_button=next_button, working_dir=working_dir, top_object=top_object + ) # def __init__(self, prev_button=False, next_button=True, working_dir='', top_object=None, gamma_coefficient=None): # super(SampleSelectionPanel, self).__init__(prev_button=prev_button, @@ -237,34 +242,30 @@ def next_button_clicked(self, event): class OBSelectionPanel(Panel): - def __init__(self, working_dir='', top_object=None): - super(OBSelectionPanel, self).__init__(prev_button=True, state='ob', - working_dir=working_dir, - top_object=top_object) + def __init__(self, working_dir="", top_object=None): + super(OBSelectionPanel, self).__init__( + prev_button=True, state="ob", working_dir=working_dir, top_object=top_object + ) def next_button_clicked(self, event): self.remove() - _panel = DFSelectionPanel(working_dir=self.working_dir, - top_object=self.top_object) + _panel = DFSelectionPanel(working_dir=self.working_dir, top_object=self.top_object) _panel.init_ui(files=self.files) _panel.show() def prev_button_clicked(self, event): self.remove() - _panel = SampleSelectionPanel(working_dir=self.working_dir, - top_object=self.top_object) + _panel = SampleSelectionPanel(working_dir=self.working_dir, top_object=self.top_object) _panel.init_ui(files=self.files) _panel.show() class DFSelectionPanel(Panel): - def __init__(self, working_dir='', top_object=None): + def __init__(self, working_dir="", top_object=None): self.working_dir = working_dir - super(DFSelectionPanel, self).__init__(prev_button=True, - next_button=True, - state='df', - working_dir=working_dir, - top_object=top_object) + super(DFSelectionPanel, self).__init__( + prev_button=True, next_button=True, state="df", working_dir=working_dir, top_object=top_object + ) def prev_button_clicked(self, event): self.remove() @@ -274,24 +275,23 @@ def prev_button_clicked(self, event): def next_button_clicked(self, event): self.remove() - o_norm_handler = NormalizationHandler(files=self.files, - working_dir=self.working_dir, - gamma_threshold=self.gamma_threshold) + o_norm_handler = NormalizationHandler( + files=self.files, working_dir=self.working_dir, gamma_threshold=self.gamma_threshold + ) o_norm_handler.load_data() self.top_object.o_norm_handler = o_norm_handler self.top_object.o_norm = o_norm_handler.o_norm -class NormalizationHandler(object): - +class NormalizationHandler: data = None integrated_sample = [] - working_dir = '' + working_dir = "" o_norm = None normalized_data_array = [] - def __init__(self, files=None, working_dir='', gamma_threshold=0.9): + def __init__(self, files=None, working_dir="", gamma_threshold=0.9): self.files = files self.working_dir = working_dir self.data = Data() @@ -299,38 +299,38 @@ def __init__(self, files=None, working_dir='', gamma_threshold=0.9): def load_data(self): self.o_norm = Normalization() - + # sample list_sample = self.files.sample # self.o_norm.load(file=list_sample, notebook=True, auto_gamma_filter=False, # manual_gamma_filter=True, manual_gamma_threshold=self.gamma_threshold) self.o_norm.load(file=list_sample, notebook=True) - self.data.sample = self.o_norm.data['sample']['data'] + self.data.sample = self.o_norm.data["sample"]["data"] self.list_file_names = list_sample # ob list_ob = self.files.ob # self.o_norm.load(file=list_ob, data_type='ob', notebook=True, auto_gamma_filter=False, # manual_gamma_filter=True, manual_gamma_threshold=self.gamma_threshold) - self.o_norm.load(file=list_ob, data_type='ob', notebook=True) - self.data.ob = self.o_norm.data['ob']['data'] + self.o_norm.load(file=list_ob, data_type="ob", notebook=True) + self.data.ob = self.o_norm.data["ob"]["data"] # df list_df = self.files.df if list_df: # self.o_norm.load(file=list_df, data_type='df', notebook=True, auto_gamma_filter=False, # manual_gamma_filter=True, manual_gamma_threshold=self.gamma_threshold) - self.o_norm.load(file=list_df, data_type='df', notebook=True) - self.data.df = self.o_norm.data['df']['data'] + self.o_norm.load(file=list_df, data_type="df", notebook=True) + self.data.df = self.o_norm.data["df"]["data"] - def get_data(self, data_type='sample'): - if data_type == 'sample': + def get_data(self, data_type="sample"): + if data_type == "sample": return self.data.sample - elif data_type == 'ob': + elif data_type == "ob": return self.data.ob else: return self.data.df - + # def plot_images(self, data_type='sample'): # # sample_array = self.get_data(data_type=data_type) @@ -429,10 +429,10 @@ def calculate_integrated_sample(self): def settings(self): o_norm = self.o_norm - nbr_sample = len(o_norm.data['sample']['data']) - nbr_ob = len(o_norm.data['ob']['data']) - if o_norm.data['df']['data']: - nbr_df = len(o_norm.data['df']['data']) + nbr_sample = len(o_norm.data["sample"]["data"]) + nbr_ob = len(o_norm.data["ob"]["data"]) + if o_norm.data["df"]["data"]: + nbr_df = len(o_norm.data["df"]["data"]) else: nbr_df = 0 @@ -447,7 +447,7 @@ def how_to_combine_changed(value): widgets_changed() def widgets_changed(): - if self.force_ui.value == 'no': + if self.force_ui.value == "no": accordion_children = [self.force_ui, table] accordion_title = [force_combine_title, table_title] self.how_to_ui.disabled = True @@ -469,49 +469,50 @@ def get_html_table(): force_combine = self.force_ui.value how_to_combine = self.how_to_ui.value - if force_combine == 'yes': + if force_combine == "yes": description = f"OBs will be combined using {how_to_combine}" else: - description = f"OBs won't be combined! Each sample will use 1 OB" - - html_table = f"" \ - "" \ - "" \ - "" \ - "" \ - "" \ - "" \ - "" \ - f"" \ - f"" \ - f"" \ - f"" \ - "" \ - "
Nbr of SamplesNbr of OBsNbr of DCsDescription of Process
{nbr_sample}{nbr_ob}{nbr_df}{description}
" + description = "OBs won't be combined! Each sample will use 1 OB" + + html_table = ( + f"" + "" + "" + "" + "" + "" + "" + "" + f"" + f"" + f"" + f"" + "" + "
Nbr of SamplesNbr of OBsNbr of DCsDescription of Process
{nbr_sample}{nbr_ob}{nbr_df}{description}
" + ) return html_table accordion_children = [] accordion_title = list() - self.force_ui = widgets.RadioButtons(options=['yes', 'no'], - value='yes', - disabled=False, - layout=widgets.Layout(width='200px')) + self.force_ui = widgets.RadioButtons( + options=["yes", "no"], value="yes", disabled=False, layout=widgets.Layout(width="200px") + ) accordion_children.append(self.force_ui) - self.force_ui.observe(force_combining_changed, names='value') + self.force_ui.observe(force_combining_changed, names="value") - self.how_to_ui = widgets.RadioButtons(options=['median', 'mean'], - value='median', - layout=widgets.Layout(width='200px')) + self.how_to_ui = widgets.RadioButtons( + options=["median", "mean"], value="median", layout=widgets.Layout(width="200px") + ) accordion_children.append(self.how_to_ui) - self.how_to_ui.observe(how_to_combine_changed, names='value') + self.how_to_ui.observe(how_to_combine_changed, names="value") html_table = "" table = widgets.HTML(value=html_table) accordion_children.append(table) if nbr_sample != nbr_ob: - self.force_ui.value = 'yes' + self.force_ui.value = "yes" accordion_children = [self.how_to_ui, table] how_to_combine_title = "How to combine?" accordion_title = [how_to_combine_title, table_title] @@ -522,8 +523,7 @@ def get_html_table(): table.value = get_html_table() - accordion = widgets.Accordion(children=accordion_children, - title=accordion_title) + accordion = widgets.Accordion(children=accordion_children, title=accordion_title) for _index, _title in enumerate(accordion_title): accordion.set_title(_index, _title) @@ -532,44 +532,45 @@ def get_html_table(): display(accordion) def run_normalization(self, dict_roi=None): - force_mean_ob = False force_median_ob = False force_combine = self.force_ui.value - if force_combine == 'yes': + if force_combine == "yes": how_to_combine = self.how_to_ui.value - if how_to_combine == 'mean': + if how_to_combine == "mean": force_mean_ob = True - elif how_to_combine == 'median': + elif how_to_combine == "median": force_median_ob = True else: raise NotImplementedError(f"How to combine OB algorithm ({how_to_combine}) not implemented!") if dict_roi is None: - try: self.o_norm.df_correction() - self.o_norm.normalization(notebook=True, - force_median_ob=force_median_ob, - force_mean_ob=force_mean_ob, - force=True) + self.o_norm.normalization( + notebook=True, force_median_ob=force_median_ob, force_mean_ob=force_mean_ob, force=True + ) self.normalized_data_array = self.o_norm.get_normalized_data() - self.normalized_metadata_array = self.o_norm.data['sample']['metadata'] + self.normalized_metadata_array = self.o_norm.data["sample"]["metadata"] except ValueError: - display(HTML('Data Size of Sample, OB and DF (if any) ' + - 'do not Match!')) + display( + HTML( + 'Data Size of Sample, OB and DF (if any) ' + + "do not Match!" + ) + ) return else: _list_roi = [] for _key in dict_roi.keys(): _roi = dict_roi[_key] - x0 = _roi['x0'] - y0 = _roi['y0'] - x1 = _roi['x1'] - y1 = _roi['y1'] + x0 = _roi["x0"] + y0 = _roi["y0"] + x1 = _roi["x1"] + y1 = _roi["y1"] x_left = np.min([x0, x1]) y_top = np.min([y0, y1]) @@ -585,47 +586,54 @@ def run_normalization(self, dict_roi=None): self.o_norm.df_correction() if _list_roi: try: - self.o_norm.normalization(roi=_list_roi[0], - notebook=True, - force_median_ob=force_median_ob, - force_mean_ob=force_mean_ob, - force=True) + self.o_norm.normalization( + roi=_list_roi[0], + notebook=True, + force_median_ob=force_median_ob, + force_mean_ob=force_mean_ob, + force=True, + ) except ValueError: - display(HTML('Data Size of Sample, OB and DF (if any) ' + - 'do not Match!')) + display( + HTML( + 'Data Size of Sample, OB and DF (if any) ' + + "do not Match!" + ) + ) return else: self.o_norm.normalization(notebook=True) self.normalized_data_array = self.o_norm.get_normalized_data() - self.normalized_metadata_array = self.o_norm.data['sample']['metadata'] - - def select_export_folder(self, ipts_folder='./'): + self.normalized_metadata_array = self.o_norm.data["sample"]["metadata"] + def select_export_folder(self, ipts_folder="./"): def display_file_selector_from_shared(ev): - start_dir = os.path.join(ipts_folder, 'shared') + start_dir = os.path.join(ipts_folder, "shared") self.output_folder_ui.remove() self.display_file_selector(start_dir=start_dir) def display_file_selector_from_home(ev): import getpass + _user = getpass.getuser() - start_dir = os.path.join('/SNS/users', _user) + start_dir = os.path.join("/SNS/users", _user) self.output_folder_ui.remove() self.display_file_selector(start_dir=start_dir) ipts = os.path.basename(self.working_dir) - button_layout = widgets.Layout(width='30%', - border='1px solid gray') + button_layout = widgets.Layout(width="30%", border="1px solid gray") - hbox = widgets.HBox([widgets.Button(description="Jump to {} Shared Folder".format(ipts), - button_style='success', - layout=button_layout), - widgets.Button(description="Jump to My Home Folder", - button_style='success', - layout=button_layout)]) + hbox = widgets.HBox( + [ + widgets.Button( + description=f"Jump to {ipts} Shared Folder", button_style="success", layout=button_layout + ), + widgets.Button(description="Jump to My Home Folder", button_style="success", layout=button_layout), + ] + ) go_to_shared_button_ui = hbox.children[0] go_to_home_button_ui = hbox.children[1] @@ -636,16 +644,14 @@ def display_file_selector_from_home(ev): self.display_file_selector() - def display_file_selector(self, start_dir=''): - self.output_folder_ui = fileselector.FileSelectorPanel(instruction='Select Output Folder', - start_dir=start_dir, - multiple=False, - type='directory') + def display_file_selector(self, start_dir=""): + self.output_folder_ui = fileselector.FileSelectorPanel( + instruction="Select Output Folder", start_dir=start_dir, multiple=False, type="directory" + ) self.output_folder_ui.show() def export(self): - - base_folder = os.path.basename(os.path.dirname(self.list_file_names[0])) + '_normalized' + base_folder = os.path.basename(os.path.dirname(self.list_file_names[0])) + "_normalized" output_folder = os.path.abspath(os.path.join(self.output_folder_ui.selected, base_folder)) output_folder = make_or_increment_folder_name(output_folder) @@ -656,28 +662,36 @@ def export(self): for _index, _file in enumerate(self.list_file_names): basename = os.path.basename(_file) _base, _ext = os.path.splitext(basename) - output_file_name = os.path.join(output_folder, _base + '.tiff') - file_handler.make_tiff(filename=output_file_name, - data=self.normalized_data_array[_index], - metadata=self.normalized_metadata_array[_index]) + output_file_name = os.path.join(output_folder, _base + ".tiff") + file_handler.make_tiff( + filename=output_file_name, + data=self.normalized_data_array[_index], + metadata=self.normalized_metadata_array[_index], + ) w.value = _index + 1 - display(HTML('The normalized images have been ' + - 'created in ' + output_folder + '')) - + display( + HTML( + 'The normalized images have been ' + + "created in " + + output_folder + + "" + ) + ) -class GammaCoefficient(object): +class GammaCoefficient: def select_gamma_coefficient(self): - self.gamma_coeff_ui = widgets.HBox([widgets.Label("Gamma Coefficient:", - layout=widgets.Layout(width="20%")), - widgets.FloatSlider(value=gamma_filtering_coefficient, - min=0, - max=1, - layout=widgets.Layout(width="50%"))]) + self.gamma_coeff_ui = widgets.HBox( + [ + widgets.Label("Gamma Coefficient:", layout=widgets.Layout(width="20%")), + widgets.FloatSlider( + value=gamma_filtering_coefficient, min=0, max=1, layout=widgets.Layout(width="50%") + ), + ] + ) display(self.gamma_coeff_ui) def get_coefficient(self): return self.gamma_coeff_ui.children[1].value - \ No newline at end of file diff --git a/notebooks/__code/normalization/normalization_with_simplify_selection.py b/notebooks/__code/normalization/normalization_with_simplify_selection.py index 2821945c..f6d50249 100755 --- a/notebooks/__code/normalization/normalization_with_simplify_selection.py +++ b/notebooks/__code/normalization/normalization_with_simplify_selection.py @@ -1,34 +1,33 @@ -import os import collections +import logging +import os + import numpy as np +from IPython.display import HTML, display from ipywidgets import widgets -from IPython.display import display, HTML -import logging +from NeuNorm.normalization import ROI, Normalization from qtpy import QtGui -from NeuNorm.normalization import Normalization, ROI - from __code import file_handler from __code.ipywe import myfileselector -from __code.normalization.get import Get -from __code.normalization.metadata_handler import MetadataHandler, MetadataName, METADATA_KEYS from __code.normalization import utilities +from __code.normalization.get import Get +from __code.normalization.metadata_handler import METADATA_KEYS, MetadataHandler, MetadataName from __code.roi_selection_ui import Interface -from __code._utilities.file import make_or_increment_folder_name -from . import ROI_ICON, ROI_BUTTON_DESCRIPTION, TEMPORARY_ROI_BUTTON_DESCRIPTION, TEMPORARY_ROI_ICON +from . import ROI_BUTTON_DESCRIPTION, ROI_ICON, TEMPORARY_ROI_BUTTON_DESCRIPTION, TEMPORARY_ROI_ICON JSON_DEBUGGING = False MAX_DF_COUNTS_ALLOWED = 900 METADATA_ERROR_ALLOWED = 1 -LIST_METADATA_NOT_INSTRUMENT_RELATED = ['filename', 'time_stamp', 'time_stamp_user_format'] +LIST_METADATA_NOT_INSTRUMENT_RELATED = ["filename", "time_stamp", "time_stamp_user_format"] class NormalizationWithSimplifySelection: - working_dir = '' + working_dir = "" - def __init__(self, working_dir=''): + def __init__(self, working_dir=""): self.working_dir = working_dir self.list_of_images = [] self.input_data_folder = [] @@ -76,18 +75,22 @@ def __init__(self, working_dir=''): o_get = Get(parent=self) log_file_name = o_get.log_file_name() - logging.basicConfig(filename=log_file_name, - filemode='w', - format='[%(levelname)s] - %(asctime)s - %(message)s', - level=logging.INFO) # logging.INFO, logging.DEBUG + logging.basicConfig( + filename=log_file_name, + filemode="w", + format="[%(levelname)s] - %(asctime)s - %(message)s", + level=logging.INFO, + ) # logging.INFO, logging.DEBUG logging.info("*** Starting new session ***") def select_sample_folder(self): - folder_sample_widget = myfileselector.MyFileSelectorPanel(instruction='select folder of images to normalize', - start_dir=self.working_dir, - next=self.retrieve_sample_metadata_from_sample_folder, - type='directory', - multiple=False) + folder_sample_widget = myfileselector.MyFileSelectorPanel( + instruction="select folder of images to normalize", + start_dir=self.working_dir, + next=self.retrieve_sample_metadata_from_sample_folder, + type="directory", + multiple=False, + ) folder_sample_widget.show() def retrieve_sample_metadata_from_sample_folder(self, sample_folder): @@ -98,7 +101,7 @@ def retrieve_sample_metadata_from_sample_folder(self, sample_folder): logging.info(f"-> number of images found: {len(list_of_images)}") self.retrieve_sample_metadata(list_of_images) else: - logging.info(f"-> No images found!") + logging.info("-> No images found!") display(HTML('No images found in the folder selected!')) def images_files_found_in_list(self, list_of_images): @@ -112,9 +115,9 @@ def retrieve_sample_metadata(self, list_of_images): logging.info(f"Retrieving sample metadata ({__name__})") self.list_of_images = list_of_images - self.sample_metadata_dict = MetadataHandler.retrieve_metadata(list_of_files=list_of_images, - display_infos=False, - label='sample') + self.sample_metadata_dict = MetadataHandler.retrieve_metadata( + list_of_files=list_of_images, display_infos=False, label="sample" + ) # logging.info(f"self.sample_metadata_dict: {self.sample_metadata_dict}") self.auto_retrieve_ob_metadata() self.auto_retrieve_df_metadata() @@ -124,53 +127,52 @@ def retrieve_sample_metadata(self, list_of_images): self.display_time_range_selection_widgets() def select_ob_folder(self): - self.select_folder(message='open beam', - next_function=self.retrieve_ob_metadata()) + self.select_folder(message="open beam", next_function=self.retrieve_ob_metadata()) def retrieve_ob_metadata(self, selected_folder): list_of_ob_files = Get.list_of_tiff_files(folder=selected_folder) self.ob_metadata_dict = MetadataHandler.retrieve_metadata(list_of_files=list_of_ob_files) def auto_retrieve_ob_metadata(self): - logging.info(f"> auto_retrieve_ob_metadata") - folder = os.path.join(self.working_dir, 'raw', 'ob') + logging.info("> auto_retrieve_ob_metadata") + folder = os.path.join(self.working_dir, "raw", "ob") logging.info(f"-> folder: {folder}") - list_of_ob_files = file_handler.get_list_of_all_files_in_subfolders(folder=folder, - extensions=['tiff', 'tif']) + list_of_ob_files = file_handler.get_list_of_all_files_in_subfolders(folder=folder, extensions=["tiff", "tif"]) logging.info(f"-> nbr of ob files found: {len(list_of_ob_files)}") - self.ob_metadata_dict = MetadataHandler.retrieve_metadata(list_of_files=list_of_ob_files, - label='ob') + self.ob_metadata_dict = MetadataHandler.retrieve_metadata(list_of_files=list_of_ob_files, label="ob") # logging.info(f"ob metadata dict") # logging.info(f"-> {self.ob_metadata_dict}") def select_folder(self, message="", next_function=None): - folder_widget = myfileselector.MyFileSelectorPanel(instruction='select {} folder'.format(message), - start_dir=self.working_dir, - next=next_function, - type='directory', - multiple=False) + folder_widget = myfileselector.MyFileSelectorPanel( + instruction=f"select {message} folder", + start_dir=self.working_dir, + next=next_function, + type="directory", + multiple=False, + ) folder_widget.show() def select_df_folder(self): - self.select_folder(message='dark current', - next_function=self.retrieve_df_metadata()) + self.select_folder(message="dark current", next_function=self.retrieve_df_metadata()) def retrieve_df_metadata(self, selected_folder): list_of_df_files = Get.list_of_tiff_files(folder=selected_folder) self.df_metadata_dict = MetadataHandler.retrieve_metadata(list_of_files=list_of_df_files) def auto_retrieve_df_metadata(self): - folder_df = os.path.join(self.working_dir, 'raw', 'df') - folder_dc = os.path.join(self.working_dir, 'raw', 'dc') - list_of_df_files = file_handler.get_list_of_all_files_in_subfolders(folder=folder_df, - extensions=['tiff', 'tif']) - list_of_dc_files = file_handler.get_list_of_all_files_in_subfolders(folder=folder_dc, - extensions=['tiff', 'tif']) + folder_df = os.path.join(self.working_dir, "raw", "df") + folder_dc = os.path.join(self.working_dir, "raw", "dc") + list_of_df_files = file_handler.get_list_of_all_files_in_subfolders( + folder=folder_df, extensions=["tiff", "tif"] + ) + list_of_dc_files = file_handler.get_list_of_all_files_in_subfolders( + folder=folder_dc, extensions=["tiff", "tif"] + ) list_of_files = list_of_df_files + list_of_dc_files logging.info(f"-> nbr of dc files found: {len(list_of_files)}") - self.df_metadata_dict = MetadataHandler.retrieve_metadata(list_of_files=list_of_files, - label='df') + self.df_metadata_dict = MetadataHandler.retrieve_metadata(list_of_files=list_of_files, label="df") def match_files(self): """This is where the files will be associated with their respective OB, DC by using the metadata""" @@ -184,7 +186,8 @@ def match_files(self): if JSON_DEBUGGING: # for debugging only, exporting the json import json - with open('/Users/j35/Desktop/which_ob_and_df_to_use.json', 'w') as outfile: + + with open("/Users/j35/Desktop/which_ob_and_df_to_use.json", "w") as outfile: json.dump(self.final_full_master_dict, outfile) def match_ob(self): @@ -199,14 +202,13 @@ def match_ob(self): for _index_ob in list_ob_dict.keys(): _all_ob_instrument_metadata = Get.get_instrument_metadata_only(list_ob_dict[_index_ob]) - _ob_instrument_metadata = utilities.isolate_instrument_metadata( - _all_ob_instrument_metadata) - _acquisition_time = _all_ob_instrument_metadata[MetadataName.EXPOSURE_TIME.value]['value'] + _ob_instrument_metadata = utilities.isolate_instrument_metadata(_all_ob_instrument_metadata) + _acquisition_time = _all_ob_instrument_metadata[MetadataName.EXPOSURE_TIME.value]["value"] if _acquisition_time in list_of_sample_acquisition: for _config_id in final_full_master_dict[_acquisition_time].keys(): - _sample_metadata_infos = final_full_master_dict[_acquisition_time][_config_id]['metadata_infos'] + _sample_metadata_infos = final_full_master_dict[_acquisition_time][_config_id]["metadata_infos"] if utilities.all_metadata_match(_sample_metadata_infos, _ob_instrument_metadata): - final_full_master_dict[_acquisition_time][_config_id]['list_ob'].append(list_ob_dict[_index_ob]) + final_full_master_dict[_acquisition_time][_config_id]["list_ob"].append(list_ob_dict[_index_ob]) self.final_full_master_dict = final_full_master_dict @@ -223,18 +225,19 @@ def match_df(self): for _index_df in list_df_dict.keys(): _all_df_instrument_metadata = Get.get_instrument_metadata_only(list_df_dict[_index_df]) - _df_instrument_metadata = utilities.isolate_instrument_metadata( - _all_df_instrument_metadata) - _acquisition_time = _all_df_instrument_metadata[MetadataName.EXPOSURE_TIME.value]['value'] + _df_instrument_metadata = utilities.isolate_instrument_metadata(_all_df_instrument_metadata) + _acquisition_time = _all_df_instrument_metadata[MetadataName.EXPOSURE_TIME.value]["value"] if _acquisition_time in list_of_sample_acquisition: for _config_id in final_full_master_dict[_acquisition_time].keys(): - _sample_metadata_infos = final_full_master_dict[_acquisition_time][_config_id]['metadata_infos'] + _sample_metadata_infos = final_full_master_dict[_acquisition_time][_config_id]["metadata_infos"] - if utilities.all_metadata_match(_sample_metadata_infos, _df_instrument_metadata, - list_key_to_check=[METADATA_KEYS['df'][ - 1].value]): - final_full_master_dict[_acquisition_time][_config_id]['list_df'].append(list_df_dict[_index_df]) + if utilities.all_metadata_match( + _sample_metadata_infos, + _df_instrument_metadata, + list_key_to_check=[METADATA_KEYS["df"][1].value], + ): + final_full_master_dict[_acquisition_time][_config_id]["list_df"].append(list_df_dict[_index_df]) self.final_full_master_dict = final_full_master_dict @@ -247,41 +250,35 @@ def create_master_sample_dict(self): last_sample_image = sample_metadata_dict[0] for _file_index in sample_metadata_dict.keys(): - _dict_file_index = sample_metadata_dict[_file_index] - _sample_file = _dict_file_index['filename'] + _sample_file = _dict_file_index["filename"] - _acquisition_time = _dict_file_index[MetadataName.EXPOSURE_TIME.value]['value'] + _acquisition_time = _dict_file_index[MetadataName.EXPOSURE_TIME.value]["value"] _instrument_metadata = utilities.isolate_instrument_metadata(_dict_file_index) - _sample_time_stamp = _dict_file_index['time_stamp'] + _sample_time_stamp = _dict_file_index["time_stamp"] # find which image was first and which image was last - if _sample_time_stamp < first_sample_image['time_stamp']: + if _sample_time_stamp < first_sample_image["time_stamp"]: first_sample_image = _dict_file_index - elif _sample_time_stamp > last_sample_image['time_stamp']: + elif _sample_time_stamp > last_sample_image["time_stamp"]: last_sample_image = _dict_file_index # first entry or first time seeing that acquisition time - if (len(final_full_master_dict) == 0) or not (_acquisition_time in final_full_master_dict.keys()): - _first_images_dict = {'sample': first_sample_image, - 'ob' : {}, - 'df' : {}} - _last_images_dict = {'sample': last_sample_image, - 'ob' : {}, - 'df' : {}} - _temp_dict = {'list_sample' : [_dict_file_index], - 'first_images' : _first_images_dict, - 'last_images' : _last_images_dict, - 'list_ob' : [], - 'list_df' : [], - 'time_range_s_selected': {'before': np.NaN, - 'after' : np.NaN}, - 'time_range_s' : {'before': np.NaN, - 'after' : np.NaN}, - 'metadata_infos' : Get.get_instrument_metadata_only( - _instrument_metadata)} + if (len(final_full_master_dict) == 0) or _acquisition_time not in final_full_master_dict.keys(): + _first_images_dict = {"sample": first_sample_image, "ob": {}, "df": {}} + _last_images_dict = {"sample": last_sample_image, "ob": {}, "df": {}} + _temp_dict = { + "list_sample": [_dict_file_index], + "first_images": _first_images_dict, + "last_images": _last_images_dict, + "list_ob": [], + "list_df": [], + "time_range_s_selected": {"before": np.nan, "after": np.nan}, + "time_range_s": {"before": np.nan, "after": np.nan}, + "metadata_infos": Get.get_instrument_metadata_only(_instrument_metadata), + } final_full_master_dict[_acquisition_time] = {} - final_full_master_dict[_acquisition_time]['config0'] = _temp_dict + final_full_master_dict[_acquisition_time]["config0"] = _temp_dict else: # check that all the metadata_infos match for the first group of that acquisition time, # otherwise check the next one or create a group @@ -290,64 +287,51 @@ def create_master_sample_dict(self): _found_a_match = False for _config_key in _dict_for_this_acquisition_time.keys(): _config = _dict_for_this_acquisition_time[_config_key] - if (utilities.all_metadata_match(metadata_1=_config['metadata_infos'], - metadata_2=_instrument_metadata)): - _config['list_sample'].append(_dict_file_index) - - _first_images_dict = {'sample': first_sample_image, - 'ob' : {}, - 'df' : {}} - _last_images_dict = {'sample': last_sample_image, - 'ob' : {}, - 'df' : {}} - - _config['first_images'] = _first_images_dict - _config['last_images'] = _last_images_dict + if utilities.all_metadata_match( + metadata_1=_config["metadata_infos"], metadata_2=_instrument_metadata + ): + _config["list_sample"].append(_dict_file_index) + + _first_images_dict = {"sample": first_sample_image, "ob": {}, "df": {}} + _last_images_dict = {"sample": last_sample_image, "ob": {}, "df": {}} + + _config["first_images"] = _first_images_dict + _config["last_images"] = _last_images_dict _found_a_match = True if not _found_a_match: - _first_images_dict = {'sample': first_sample_image, - 'ob' : {}, - 'df' : {}} - _last_images_dict = {'sample': last_sample_image, - 'ob' : {}, - 'df' : {}} - - _temp_dict = {'list_sample' : [_dict_file_index], - 'first_images' : _first_images_dict, - 'last_images' : _last_images_dict, - 'list_ob' : [], - 'list_df' : [], - 'time_range_s_selected': {'before': np.NaN, - 'after' : np.NaN}, - 'time_range_s' : {'before': np.NaN, - 'after' : np.NaN}, - 'metadata_infos' : Get.get_instrument_metadata_only( - _instrument_metadata)} + _first_images_dict = {"sample": first_sample_image, "ob": {}, "df": {}} + _last_images_dict = {"sample": last_sample_image, "ob": {}, "df": {}} + + _temp_dict = { + "list_sample": [_dict_file_index], + "first_images": _first_images_dict, + "last_images": _last_images_dict, + "list_ob": [], + "list_df": [], + "time_range_s_selected": {"before": np.nan, "after": np.nan}, + "time_range_s": {"before": np.nan, "after": np.nan}, + "metadata_infos": Get.get_instrument_metadata_only(_instrument_metadata), + } nbr_config = len(_dict_for_this_acquisition_time.keys()) - _dict_for_this_acquisition_time['config{}'.format(nbr_config)] = _temp_dict + _dict_for_this_acquisition_time[f"config{nbr_config}"] = _temp_dict else: - _first_images_dict = {'sample': first_sample_image, - 'ob' : {}, - 'df' : {}} - _last_images_dict = {'sample': last_sample_image, - 'ob' : {}, - 'df' : {}} - - _temp_dict = {'list_sample' : [_dict_file_index], - 'first_images' : _first_images_dict, - 'last_images' : _last_images_dict, - 'list_ob' : [], - 'list_df' : [], - 'time_range_s_selected': {'before': np.NAN, - 'after' : np.NaN}, - 'time_range_s' : {'before': np.NaN, - 'after' : np.NaN}, - 'metadata_infos' : Get.get_instrument_metadata_only( - _instrument_metadata)} + _first_images_dict = {"sample": first_sample_image, "ob": {}, "df": {}} + _last_images_dict = {"sample": last_sample_image, "ob": {}, "df": {}} + + _temp_dict = { + "list_sample": [_dict_file_index], + "first_images": _first_images_dict, + "last_images": _last_images_dict, + "list_ob": [], + "list_df": [], + "time_range_s_selected": {"before": np.nan, "after": np.nan}, + "time_range_s": {"before": np.nan, "after": np.nan}, + "metadata_infos": Get.get_instrument_metadata_only(_instrument_metadata), + } final_full_master_dict[_acquisition_time] = {} - final_full_master_dict[_acquisition_time]['config0'] = _temp_dict + final_full_master_dict[_acquisition_time]["config0"] = _temp_dict self.final_full_master_dict = final_full_master_dict @@ -358,14 +342,14 @@ def calculate_first_and_last_ob(self): for _acquisition in _final_full_master_dict.keys(): current_acquisition_dict = _final_full_master_dict[_acquisition] - _first_ob_time = np.NaN + _first_ob_time = np.nan _first_ob = {} - _last_ob_time = np.NaN + _last_ob_time = np.nan _last_ob = {} for _config in current_acquisition_dict.keys(): current_acquisition_config_dict = current_acquisition_dict[_config] - for _ob in current_acquisition_config_dict['list_ob']: - _current_ob_time = _ob['time_stamp'] + for _ob in current_acquisition_config_dict["list_ob"]: + _current_ob_time = _ob["time_stamp"] if np.isnan(_first_ob_time): _first_ob_time = _current_ob_time _last_ob_time = _current_ob_time @@ -377,8 +361,8 @@ def calculate_first_and_last_ob(self): _last_ob_time = _current_ob_time _last_ob = _ob - current_acquisition_config_dict['first_images']['ob'] = _first_ob - current_acquisition_config_dict['last_images']['ob'] = _last_ob + current_acquisition_config_dict["first_images"]["ob"] = _first_ob + current_acquisition_config_dict["last_images"]["ob"] = _last_ob def calculate_time_range(self): """this method will calculate the max time range of OB taken before or after and will use that @@ -391,19 +375,19 @@ def calculate_time_range(self): for _config in current_acquisition_dict.keys(): current_acquisition_config_dict = current_acquisition_dict[_config] - first_sample_image = current_acquisition_config_dict['first_images']['sample'] - first_ob_image = current_acquisition_config_dict['first_images']['ob'] + first_sample_image = current_acquisition_config_dict["first_images"]["sample"] + first_ob_image = current_acquisition_config_dict["first_images"]["ob"] - delta_time_before = first_sample_image.get('time_stamp', 0) - first_ob_image.get('time_stamp', 0) + delta_time_before = first_sample_image.get("time_stamp", 0) - first_ob_image.get("time_stamp", 0) _time_range_s_before = delta_time_before if delta_time_before > 0 else 0 - last_sample_image = current_acquisition_config_dict['last_images']['sample'] - last_ob_image = current_acquisition_config_dict['last_images']['ob'] - delta_time_after = last_ob_image.get('time_stamp', 0) - last_sample_image.get('time_stamp', 0) + last_sample_image = current_acquisition_config_dict["last_images"]["sample"] + last_ob_image = current_acquisition_config_dict["last_images"]["ob"] + delta_time_after = last_ob_image.get("time_stamp", 0) - last_sample_image.get("time_stamp", 0) _time_range_s_after = delta_time_after if delta_time_after > 0 else 0 - _final_full_master_dict[_acquisition][_config]['time_range_s']['before'] = _time_range_s_before - _final_full_master_dict[_acquisition][_config]['time_range_s']['after'] = _time_range_s_after + _final_full_master_dict[_acquisition][_config]["time_range_s"]["before"] = _time_range_s_before + _final_full_master_dict[_acquisition][_config]["time_range_s"]["after"] = _time_range_s_after def display_time_range_selection_widgets(self): _final_full_master_dict = self.final_full_master_dict @@ -416,19 +400,19 @@ def display_time_range_selection_widgets(self): _dict_of_this_acquisition = _final_full_master_dict[_acquisition] _config_tab = widgets.Tab() - _current_acquisition_tab_widgets_id = {'config_tab_id': _config_tab} + _current_acquisition_tab_widgets_id = {"config_tab_id": _config_tab} for _index, _config in enumerate(_dict_of_this_acquisition.keys()): _dict_config = _dict_of_this_acquisition[_config] _dict = o_get.full_layout_for_this_config(_dict_config) - _layout = _dict['verti_layout'] - _config_widgets_id_dict = _dict['config_widgets_id_dict'] + _layout = _dict["verti_layout"] + _config_widgets_id_dict = _dict["config_widgets_id_dict"] _config_tab.children += (_layout,) _config_tab.set_title(_index, _config) _current_acquisition_tab_widgets_id[_index] = _config_widgets_id_dict _config_tab_dict[_acquisition_index] = _current_acquisition_tab_widgets_id _acquisition_tabs.children += (_config_tab,) # add all the config tab to top acquisition tab - _acquisition_tabs.set_title(_acquisition_index, "Acquisition: {}s".format(_acquisition)) + _acquisition_tabs.set_title(_acquisition_index, f"Acquisition: {_acquisition}s") _config_tab display(_acquisition_tabs) @@ -437,21 +421,20 @@ def display_time_range_selection_widgets(self): self.config_tab_dict = _config_tab_dict def calculate_max_time_before_and_after_exp_for_this_config(self, dict_config): - max_time_before = 0 - first_sample_image_time_stamp = dict_config['first_images']['sample']['time_stamp'] - first_ob_image_time_stamp = dict_config['first_images']['ob'].get('time_stamp', 0) + first_sample_image_time_stamp = dict_config["first_images"]["sample"]["time_stamp"] + first_ob_image_time_stamp = dict_config["first_images"]["ob"].get("time_stamp", 0) if first_ob_image_time_stamp > first_sample_image_time_stamp: max_time_before = 0 else: - max_time_before = (first_sample_image_time_stamp - first_ob_image_time_stamp) + max_time_before = first_sample_image_time_stamp - first_ob_image_time_stamp max_time_after = 0 - last_sample_image_time_stamp = dict_config['last_images']['sample']['time_stamp'] - last_ob_image_time_stamp = dict_config['last_images']['ob'].get('time_stamp', 0) + last_sample_image_time_stamp = dict_config["last_images"]["sample"]["time_stamp"] + last_ob_image_time_stamp = dict_config["last_images"]["ob"].get("time_stamp", 0) if last_ob_image_time_stamp < last_sample_image_time_stamp: max_time_after = 0 @@ -461,13 +444,12 @@ def calculate_max_time_before_and_after_exp_for_this_config(self, dict_config): return [max_time_before, max_time_after] def populate_metadata_table(self, current_config): - metadata_config = current_config['metadata_infos'] - table_label = widgets.Label("List of Metadata used to match data set", - layout=widgets.Layout(width='30%')) + metadata_config = current_config["metadata_infos"] + table_label = widgets.Label("List of Metadata used to match data set", layout=widgets.Layout(width="30%")) table_value = "" for _key, _value in metadata_config.items(): - table_value += "".format(_value['name'], _value['value']) + table_value += "".format(_value["name"], _value["value"]) table_value += "
{}{}
{}{}
" table = widgets.HTML(value=table_value) @@ -478,23 +460,23 @@ def update_use_this_config_widget(self, state): pass def update_config_widgets(self, state): - if state['new'] is False: + if state["new"] is False: # use all files message = None - visibility = 'hidden' + visibility = "hidden" else: # user defines ranges message = True - visibility = 'visible' + visibility = "visible" o_get = Get(parent=self) [time_before_selected_ui, time_after_selected_ui] = o_get.time_before_and_after_ui_of_this_config() experiment_label_ui = o_get.experiment_label_ui_of_this_config() experiment_label_ui.layout.visibility = visibility - if visibility == 'hidden': - time_before_selected_ui.layout.visibility = 'hidden' - time_after_selected_ui.layout.visibility = 'hidden' + if visibility == "hidden": + time_before_selected_ui.layout.visibility = "hidden" + time_after_selected_ui.layout.visibility = "hidden" else: self.show_or_not_before_and_after_sliders() @@ -503,11 +485,12 @@ def update_config_widgets(self, state): def show_or_not_before_and_after_sliders(self): o_get = Get(parent=self) current_config = o_get.current_config_dict() - [max_time_elapse_before_experiment, max_time_elapse_after_experiment] = \ + [max_time_elapse_before_experiment, max_time_elapse_after_experiment] = ( self.calculate_max_time_before_and_after_exp_for_this_config(current_config) + ) - slider_before_visibility = 'visible' if max_time_elapse_before_experiment > 0 else 'hidden' - slider_after_visibility = 'visible' if max_time_elapse_after_experiment > 0 else 'hidden' + slider_before_visibility = "visible" if max_time_elapse_before_experiment > 0 else "hidden" + slider_after_visibility = "visible" if max_time_elapse_after_experiment > 0 else "hidden" [time_before_selected_ui, time_after_selected_ui] = o_get.time_before_and_after_ui_of_this_config() time_before_selected_ui.layout.visibility = slider_before_visibility @@ -516,7 +499,7 @@ def show_or_not_before_and_after_sliders(self): def is_custom_time_range_checked_for_this_config(self): o_get = Get(parent=self) current_config = o_get.current_config_of_widgets_id() - return current_config['use_custom_time_range_checkbox'].value + return current_config["use_custom_time_range_checkbox"].value def update_time_range_event(self, value): # reach when user interact with the sliders in the config tab @@ -533,17 +516,16 @@ def update_list_of_files_in_widgets_using_new_time_range(self): # retrieve list of ob and df for this config for this acquisition final_full_master_dict = self.final_full_master_dict dict_for_this_config = final_full_master_dict[float(acquisition_key)][config_key] - list_ob = dict_for_this_config['list_ob'] + list_ob = dict_for_this_config["list_ob"] # no need to do anything more if user wants to use all the files if not self.is_custom_time_range_checked_for_this_config(): - list_ob_to_keep = [_file['filename'] for _file in list_ob] + list_ob_to_keep = [_file["filename"] for _file in list_ob] else: - # retrieve first and last sample file for this config and for this acquisition - first_sample_image_time_stamp = dict_for_this_config['first_images']['sample']['time_stamp'] - last_sample_images_time_stamp = dict_for_this_config['last_images']['sample']['time_stamp'] + first_sample_image_time_stamp = dict_for_this_config["first_images"]["sample"]["time_stamp"] + last_sample_images_time_stamp = dict_for_this_config["last_images"]["sample"]["time_stamp"] # retrieve time before and after selected [time_before_selected, time_after_selected] = o_get.time_before_and_after_of_this_config() @@ -551,13 +533,15 @@ def update_list_of_files_in_widgets_using_new_time_range(self): # calculate list of ob that are within that time range list_ob_to_keep = [] for _ob_file in list_ob: - _ob_time_stamp = _ob_file['time_stamp'] - if (_ob_time_stamp < first_sample_image_time_stamp) and \ - ((first_sample_image_time_stamp - _ob_time_stamp) <= np.abs(time_before_selected)): - list_ob_to_keep.append(_ob_file['filename']) - elif (_ob_time_stamp > last_sample_images_time_stamp) and \ - ((_ob_time_stamp - last_sample_images_time_stamp) <= np.abs(time_after_selected)): - list_ob_to_keep.append(_ob_file['filename']) + _ob_time_stamp = _ob_file["time_stamp"] + if (_ob_time_stamp < first_sample_image_time_stamp) and ( + (first_sample_image_time_stamp - _ob_time_stamp) <= np.abs(time_before_selected) + ): + list_ob_to_keep.append(_ob_file["filename"]) + elif (_ob_time_stamp > last_sample_images_time_stamp) and ( + (_ob_time_stamp - last_sample_images_time_stamp) <= np.abs(time_after_selected) + ): + list_ob_to_keep.append(_ob_file["filename"]) self.update_list_of_ob_for_current_config_tab(list_ob=list_ob_to_keep) @@ -565,61 +549,64 @@ def update_list_of_ob_for_current_config_tab(self, list_ob=[]): o_get = Get(parent=self) [active_acquisition, active_config] = o_get.active_tabs() # short_version_list_ob = NormalizationWithSimplifySelection.keep_basename_only(list_files=list_ob) - self.config_tab_dict[active_acquisition][active_config]['list_of_ob'].options = list_ob + self.config_tab_dict[active_acquisition][active_config]["list_of_ob"].options = list_ob # select everything by default - self.config_tab_dict[active_acquisition][active_config]['list_of_ob'].value = list_ob + self.config_tab_dict[active_acquisition][active_config]["list_of_ob"].value = list_ob def update_time_range_message(self, value): o_get = Get(parent=self) if value is None: - _message = "Select the OBs and " \ - "DCs to use in the normalization" + _message = ( + "Select the OBs and " + "DCs to use in the normalization" + ) # _message = "Use All " \ # "OBs and DFs " \ # "matching the samples images" else: - [time_before_selected, time_after_selected] = o_get.time_before_and_after_of_this_config() time_before_selected = np.abs(time_before_selected) def _format_time(_time_s): if _time_s < 60: - return "{:.2f}s".format(_time_s) + return f"{_time_s:.2f}s" elif _time_s < 3600: - _time_mn = int(_time_s / 60.) + _time_mn = int(_time_s / 60.0) _time_s = int(_time_s % 60) - return "{:d}mn {:d}s".format(_time_mn, _time_s) + return f"{_time_mn:d}mn {_time_s:d}s" else: - _time_hr = int(_time_s / 3600.) + _time_hr = int(_time_s / 3600.0) _time_s_left = _time_s - _time_hr * 3600 - _time_mn = int(_time_s_left / 60.) + _time_mn = int(_time_s_left / 60.0) _time_s = int(_time_s_left % 60) - return "{:d}hr {:d}mn {:d}s".format(_time_hr, _time_mn, _time_s) + return f"{_time_hr:d}hr {_time_mn:d}mn {_time_s:d}s" str_time_before = _format_time(time_before_selected) str_time_after = _format_time(time_after_selected) logging.info(f"str_time_before: {time_before_selected} -> {str_time_before}") - _message = "Use OB taken up to " + str_time_before + " " \ - "before and up to " \ - "" + str_time_after + " " \ - "after experiment!" + _message = ( + "Use OB taken up to " + str_time_before + " " + "before and up to " + "" + str_time_after + " " + "after experiment!" + ) time_before_and_after_message_ui = o_get.time_before_and_after_message_ui_of_this_config() time_before_and_after_message_ui.value = _message def do_you_want_to_combine_changed(self, value): - do_you_want_to_combine = value['new'] - if do_you_want_to_combine == 'yes': + do_you_want_to_combine = value["new"] + if do_you_want_to_combine == "yes": disabled_how_to_combine = False else: disabled_how_to_combine = True o_get = Get(parent=self) [active_acquisition, active_config] = o_get.active_tabs() - self.config_tab_dict[active_acquisition][active_config]['how_to_combine'].disabled = disabled_how_to_combine + self.config_tab_dict[active_acquisition][active_config]["how_to_combine"].disabled = disabled_how_to_combine self.update_this_config_table() def how_to_combine_changed(self, value): @@ -628,58 +615,61 @@ def how_to_combine_changed(self, value): def update_this_config_table(self): o_get = Get(parent=self) [active_acquisition, active_config] = o_get.active_tabs() - table_ui = self.config_tab_dict[active_acquisition][active_config]['table'] + table_ui = self.config_tab_dict[active_acquisition][active_config]["table"] - nbr_ob = len(self.config_tab_dict[active_acquisition][active_config]['list_of_ob'].value) - nbr_sample = len(self.config_tab_dict[active_acquisition][active_config]['list_of_sample_runs'].options) - nbr_df = len(self.config_tab_dict[active_acquisition][active_config]['list_of_df'].value) + nbr_ob = len(self.config_tab_dict[active_acquisition][active_config]["list_of_ob"].value) + nbr_sample = len(self.config_tab_dict[active_acquisition][active_config]["list_of_sample_runs"].options) + nbr_df = len(self.config_tab_dict[active_acquisition][active_config]["list_of_df"].value) - force_combine_disabled_state = self.config_tab_dict[active_acquisition][active_config]['force_combine'].disabled - force_combine_value = self.config_tab_dict[active_acquisition][active_config]['force_combine'].value - how_to_combine_value = self.config_tab_dict[active_acquisition][active_config]['how_to_combine'].value + force_combine_disabled_state = self.config_tab_dict[active_acquisition][active_config]["force_combine"].disabled + force_combine_value = self.config_tab_dict[active_acquisition][active_config]["force_combine"].value + how_to_combine_value = self.config_tab_dict[active_acquisition][active_config]["how_to_combine"].value - if force_combine_value == 'yes': - description = f"OBs will be combined using " + how_to_combine_value + " method!" + if force_combine_value == "yes": + description = "OBs will be combined using " + how_to_combine_value + " method!" elif force_combine_disabled_state: - description = f"OBs will be combined using " + how_to_combine_value + " method!" + description = "OBs will be combined using " + how_to_combine_value + " method!" else: - description = f"OBs won't be combined! Each sample will use only 1 OB!" - - html_table = f"" \ - "" \ - "" \ - "" \ - "" \ - "" \ - "" \ - "" \ - f"" \ - f"" \ - f"" \ - f"" \ - "" \ - "
Nbr of SamplesNbr of OBsNbr of DCsDescription of Process
{nbr_sample}{nbr_ob}{nbr_df}{description}
" + description = "OBs won't be combined! Each sample will use only 1 OB!" + + html_table = ( + f"" + "" + "" + "" + "" + "" + "" + "" + f"" + f"" + f"" + f"" + "" + "
Nbr of SamplesNbr of OBsNbr of DCsDescription of Process
{nbr_sample}{nbr_ob}{nbr_df}{description}
" + ) table_ui.value = html_table def selection_of_ob_changed(self, value): - list_ob_selected = value['new'] + list_ob_selected = value["new"] nbr_ob = len(list_ob_selected) o_get = Get(parent=self) [active_acquisition, active_config] = o_get.active_tabs() - list_sample = self.config_tab_dict[active_acquisition][active_config]['list_of_sample_runs'].options + list_sample = self.config_tab_dict[active_acquisition][active_config]["list_of_sample_runs"].options nbr_sample = len(list_sample) if nbr_sample == nbr_ob: - self.config_tab_dict[active_acquisition][active_config]['force_combine'].disabled = False - self.config_tab_dict[active_acquisition][active_config]['force_combine_message'].value = "" + self.config_tab_dict[active_acquisition][active_config]["force_combine"].disabled = False + self.config_tab_dict[active_acquisition][active_config]["force_combine_message"].value = "" else: - self.config_tab_dict[active_acquisition][active_config]['force_combine'].disabled = True - self.config_tab_dict[active_acquisition][active_config]['force_combine_message'].value = \ - "INFO: the option to combine or not is disabled as the number of " \ - "sample " \ - "and " \ + self.config_tab_dict[active_acquisition][active_config]["force_combine"].disabled = True + self.config_tab_dict[active_acquisition][active_config]["force_combine_message"].value = ( + "INFO: the option to combine or not is disabled as the number of " + "sample " + "and " "obs do not match. The OBs will be combined!" + ) self.update_this_config_table() def checking_normalization_workflow(self): @@ -692,39 +682,39 @@ def create_final_json(self): _final_json_dict = {} for _acquisition_index, _acquisition in enumerate(_final_full_master_dict.keys()): - _final_json_for_this_acquisition = {} _config_of_this_acquisition = _config_tab_dict[_acquisition_index] _dict_of_this_acquisition = _final_full_master_dict[_acquisition] for _config_index, _config in enumerate(_dict_of_this_acquisition.keys()): - this_config_tab_dict = _config_tab_dict[_acquisition_index][_config_index] - normalize_flag = this_config_tab_dict['use_this_config'] + normalize_flag = this_config_tab_dict["use_this_config"] - list_sample = this_config_tab_dict['list_of_sample_runs'].options - list_ob = this_config_tab_dict['list_of_ob'].value - list_df = this_config_tab_dict['list_of_df'].value + list_sample = this_config_tab_dict["list_of_sample_runs"].options + list_ob = this_config_tab_dict["list_of_ob"].value + list_df = this_config_tab_dict["list_of_df"].value - force_combine_disabled_state = this_config_tab_dict['force_combine'].disabled # True or false - force_combine_value = this_config_tab_dict['force_combine'].value # 'yes' or 'no' - how_to_combine_value = this_config_tab_dict['how_to_combine'].value + force_combine_disabled_state = this_config_tab_dict["force_combine"].disabled # True or false + force_combine_value = this_config_tab_dict["force_combine"].value # 'yes' or 'no' + how_to_combine_value = this_config_tab_dict["how_to_combine"].value - roi = this_config_tab_dict.get('roi_selected', None) + roi = this_config_tab_dict.get("roi_selected", None) if roi == {}: roi = None - if (force_combine_value == 'yes') or force_combine_disabled_state: + if (force_combine_value == "yes") or force_combine_disabled_state: force_combine = True else: force_combine = False - _final_json_for_this_acquisition[_config] = {'list_sample' : list_sample, - 'list_df' : list_df, - 'list_ob' : list_ob, - 'normalize_this_config': normalize_flag, - 'force_combine' : force_combine, - 'how_to_combine' : how_to_combine_value, - 'roi' : roi} + _final_json_for_this_acquisition[_config] = { + "list_sample": list_sample, + "list_df": list_df, + "list_ob": list_ob, + "normalize_this_config": normalize_flag, + "force_combine": force_combine, + "how_to_combine": how_to_combine_value, + "roi": roi, + } _final_json_dict[_acquisition] = _final_json_for_this_acquisition @@ -733,27 +723,29 @@ def create_final_json(self): def roi_button_clicked(self, value): o_get = Get(parent=self) [active_acquisition, active_config] = o_get.active_tabs() - list_sample = self.config_tab_dict[active_acquisition][active_config]['list_of_sample_runs'].options + list_sample = self.config_tab_dict[active_acquisition][active_config]["list_of_sample_runs"].options - self.config_tab_dict[active_acquisition][active_config]['select_roi_button'].description = \ - TEMPORARY_ROI_BUTTON_DESCRIPTION - self.config_tab_dict[active_acquisition][active_config]['select_roi_button'].icon = TEMPORARY_ROI_ICON - self.config_tab_dict[active_acquisition][active_config]['select_roi_button'].disabled = True + self.config_tab_dict[active_acquisition][active_config][ + "select_roi_button" + ].description = TEMPORARY_ROI_BUTTON_DESCRIPTION + self.config_tab_dict[active_acquisition][active_config]["select_roi_button"].icon = TEMPORARY_ROI_ICON + self.config_tab_dict[active_acquisition][active_config]["select_roi_button"].disabled = True - o_gui = Interface(list_of_files=list_sample, - callback=self.returning_from_roi_selection, - display_info_message=False) + o_gui = Interface( + list_of_files=list_sample, callback=self.returning_from_roi_selection, display_info_message=False + ) o_gui.show() QtGui.QGuiApplication.processEvents() def returning_from_roi_selection(self, roi_selected): o_get = Get(parent=self) [active_acquisition, active_config] = o_get.active_tabs() - self.config_tab_dict[active_acquisition][active_config]['roi_selected'] = roi_selected - self.config_tab_dict[active_acquisition][active_config]['select_roi_button'].description = \ - ROI_BUTTON_DESCRIPTION - self.config_tab_dict[active_acquisition][active_config]['select_roi_button'].icon = ROI_ICON - self.config_tab_dict[active_acquisition][active_config]['select_roi_button'].disabled = False + self.config_tab_dict[active_acquisition][active_config]["roi_selected"] = roi_selected + self.config_tab_dict[active_acquisition][active_config][ + "select_roi_button" + ].description = ROI_BUTTON_DESCRIPTION + self.config_tab_dict[active_acquisition][active_config]["select_roi_button"].icon = ROI_ICON + self.config_tab_dict[active_acquisition][active_config]["select_roi_button"].disabled = False def normalization_recap(self): """this will show all the config that will be run and if they have the minimum requirements or not, @@ -762,41 +754,44 @@ def normalization_recap(self): self.number_of_normalization = 0 table = "" - table += "" \ - "" \ - "" \ - "" \ - "" \ - "" \ - "" \ - "" \ - "" \ - "" + table += ( + "" + "" + "" + "" + "" + "" + "" + "" + "" + "" + ) for _name_acquisition in final_json.keys(): _current_acquisition_dict = final_json[_name_acquisition] for _name_config in _current_acquisition_dict.keys(): _current_config_dict = _current_acquisition_dict[_name_config] - normalize_this_config = _current_config_dict['normalize_this_config'] - nbr_ob = len(_current_config_dict['list_ob']) - nbr_df = len(_current_config_dict['list_df']) - nbr_sample = len(_current_config_dict['list_sample']) + normalize_this_config = _current_config_dict["normalize_this_config"] + nbr_ob = len(_current_config_dict["list_ob"]) + nbr_df = len(_current_config_dict["list_df"]) + nbr_sample = len(_current_config_dict["list_sample"]) self.number_of_normalization += 1 if nbr_ob > 0 else 0 - force_combine = _current_config_dict['force_combine'] - how_to_combine = _current_config_dict['how_to_combine'] + force_combine = _current_config_dict["force_combine"] + how_to_combine = _current_config_dict["how_to_combine"] roi = _current_config_dict.get("roi", None) table += utilities.populate_normalization_recap_row( - acquisition=_name_acquisition, - config=_name_config, - nbr_sample=nbr_sample, - nbr_ob=nbr_ob, - nbr_df=nbr_df, - normalize_this_config=normalize_this_config, - force_combine=force_combine, - roi=roi, - how_to_combine=how_to_combine) + acquisition=_name_acquisition, + config=_name_config, + nbr_sample=nbr_sample, + nbr_ob=nbr_ob, + nbr_df=nbr_df, + normalize_this_config=normalize_this_config, + force_combine=force_combine, + roi=roi, + how_to_combine=how_to_combine, + ) table += "
Acquisition (s) Config. nameNbr sampleNbr OBNbr DCCombined OBs?How to combine the OBsROIStatus
Acquisition (s) Config. nameNbr sampleNbr OBNbr DCCombined OBs?How to combine the OBsROIStatus
" table_ui = widgets.HTML(table) @@ -804,28 +799,33 @@ def normalization_recap(self): def select_output_folder(self): self.output_folder_ui = myfileselector.FileSelectorPanelWithJumpFolders( - instruction='select where to create the ' + \ - 'normalized folders', - start_dir=self.working_dir, - ipts_folder=self.working_dir, - next=self.normalization, - type='directory', - newdir_toolbar_button=True) + instruction="select where to create the " + "normalized folders", + start_dir=self.working_dir, + ipts_folder=self.working_dir, + next=self.normalization, + type="directory", + newdir_toolbar_button=True, + ) def normalization(self, output_folder): - display(HTML('Make sure you do not close the notebook until' - ' the busy signal (dark circle top right) is gone!')) + display( + HTML( + 'Make sure you do not close the notebook until' + " the busy signal (dark circle top right) is gone!" + ) + ) self.output_folder_ui.shortcut_buttons.close() # hack to hide the buttons final_json = self.final_json_dict number_of_normalization = self.number_of_normalization - horizontal_layout = widgets.HBox([widgets.Label("Normalization progress", - layout=widgets.Layout(width='20%')), - widgets.IntProgress(max=number_of_normalization + 1, - value=0, - layout=widgets.Layout(width='50%'))]) + horizontal_layout = widgets.HBox( + [ + widgets.Label("Normalization progress", layout=widgets.Layout(width="20%")), + widgets.IntProgress(max=number_of_normalization + 1, value=0, layout=widgets.Layout(width="50%")), + ] + ) normalization_progress = horizontal_layout.children[1] display(horizontal_layout) @@ -835,44 +835,41 @@ def normalization(self, output_folder): for _name_config in _current_acquisition_dict.keys(): _current_config = _current_acquisition_dict[_name_config] - list_ob = _current_config['list_ob'] + list_ob = _current_config["list_ob"] if len(list_ob) == 0: normalization_progress.value += 1 continue - if not _current_config['normalize_this_config'].value: + if not _current_config["normalize_this_config"].value: normalization_progress.value += 1 continue - list_sample = _current_config['list_sample'] - full_output_normalization_folder_name = \ - utilities.make_full_output_normalization_folder_name( - output_folder=output_folder, - first_sample_file_name=list_sample[0], - name_acquisition=_name_acquisition, - name_config=_name_config) + list_sample = _current_config["list_sample"] + full_output_normalization_folder_name = utilities.make_full_output_normalization_folder_name( + output_folder=output_folder, + first_sample_file_name=list_sample[0], + name_acquisition=_name_acquisition, + name_config=_name_config, + ) list_full_output_normalization_folder_name.append(full_output_normalization_folder_name) - list_df = _current_config['list_df'] + list_df = _current_config["list_df"] o_load = Normalization() o_load.load(file=list(list_sample), notebook=True) - o_load.load(file=list(list_ob), data_type='ob') + o_load.load(file=list(list_ob), data_type="ob") if len(list_df) > 0: - o_load.load(file=list(list_df), data_type='df') + o_load.load(file=list(list_df), data_type="df") - force_combine = _current_config['force_combine'] - how_to_combine = _current_config['how_to_combine'] + force_combine = _current_config["force_combine"] + how_to_combine = _current_config["how_to_combine"] - roi = _current_config.get('roi_selected', None) + roi = _current_config.get("roi_selected", None) if roi: list_roi = [] for _key in roi.keys(): _roi_item = roi[_key] - _roi = ROI(x0=_roi_item['x0'], - y0=_roi_item['y0'], - x1=_roi_item['x1'], - y1=_roi_item['y1']) + _roi = ROI(x0=_roi_item["x0"], y0=_roi_item["y0"], x1=_roi_item["x1"], y1=_roi_item["y1"]) list_roi.append(_roi) else: list_roi = None @@ -880,12 +877,12 @@ def normalization(self, output_folder): if not force_combine: o_load.normalization(roi=list_roi) else: - if how_to_combine == 'mean': + if how_to_combine == "mean": o_load.normalization(force_mean_ob=True, roi=list_roi) else: o_load.normalization(force_median_ob=True, roi=list_roi) - o_load.export(folder=full_output_normalization_folder_name, file_type='tif') + o_load.export(folder=full_output_normalization_folder_name, file_type="tif") del o_load normalization_progress.value += 1 @@ -895,4 +892,4 @@ def normalization(self, output_folder): display(HTML('The following folders have been created:')) for _folder in list_full_output_normalization_folder_name: _folder = _folder if _folder else "None" - display(HTML(' -> ' + _folder + '')) + display(HTML(' -> ' + _folder + "")) diff --git a/notebooks/__code/normalization/utilities.py b/notebooks/__code/normalization/utilities.py index ad456cd7..7b3142fd 100755 --- a/notebooks/__code/normalization/utilities.py +++ b/notebooks/__code/normalization/utilities.py @@ -1,28 +1,35 @@ +import collections import os + import numpy as np -import collections -from __code.normalization.metadata_handler import MetadataName from __code._utilities.file import make_or_increment_folder_name +from __code.normalization.metadata_handler import MetadataName METADATA_ERROR_ALLOWED = 1 -def make_full_output_normalization_folder_name(output_folder='', first_sample_file_name='', - name_acquisition='', name_config=''): +def make_full_output_normalization_folder_name( + output_folder="", first_sample_file_name="", name_acquisition="", name_config="" +): basename_sample_folder = os.path.basename(os.path.dirname(first_sample_file_name)) - basename_sample_folder += "_{}_{}".format(name_acquisition, name_config) + basename_sample_folder += f"_{name_acquisition}_{name_config}" full_basename_sample_folder = os.path.abspath(os.path.join(output_folder, basename_sample_folder)) full_basename_sample_folder = make_or_increment_folder_name(full_basename_sample_folder) return full_basename_sample_folder -def populate_normalization_recap_row(acquisition="", config="", nbr_sample=0, nbr_ob=0, nbr_df=0, - normalize_this_config=True, - force_combine=True, - roi=None, - how_to_combine='median'): - +def populate_normalization_recap_row( + acquisition="", + config="", + nbr_sample=0, + nbr_ob=0, + nbr_df=0, + normalize_this_config=True, + force_combine=True, + roi=None, + how_to_combine="median", +): if not normalize_this_config.value: status_string = "SKIP!" else: @@ -35,27 +42,28 @@ def populate_normalization_recap_row(acquisition="", config="", nbr_sample=0, nb combine_ob = "Yes" how_to_combine_ob = how_to_combine else: - combine_ob = 'No' + combine_ob = "No" how_to_combine_ob = "N/A" if roi is None: - roi = 'No' + roi = "No" else: - roi = 'Yes' + roi = "Yes" _row = "" - _row = "" \ - "{}" \ - "{}" \ - "{}" \ - "{}" \ - "{}" \ - "{}" \ - "{}" \ - "{}" \ - "{}" \ - "". \ - format(acquisition, config, nbr_sample, nbr_ob, nbr_df, combine_ob, how_to_combine_ob, roi, status_string) + _row = ( + "" + f"{acquisition}" + f"{config}" + f"{nbr_sample}" + f"{nbr_ob}" + f"{nbr_df}" + f"{combine_ob}" + f"{how_to_combine_ob}" + f"{roi}" + f"{status_string}" + "" + ) return _row @@ -70,11 +78,10 @@ def all_metadata_match(metadata_1={}, metadata_2={}, list_key_to_check=None): for _key in list_key: try: - if np.abs(float( - metadata_1[_key]['value']) - float(metadata_2[_key]['value'])) > METADATA_ERROR_ALLOWED: + if np.abs(float(metadata_1[_key]["value"]) - float(metadata_2[_key]["value"])) > METADATA_ERROR_ALLOWED: return False except ValueError: - if metadata_1[_key]['value'] != metadata_2[_key]['value']: + if metadata_1[_key]["value"] != metadata_2[_key]["value"]: return False return True @@ -102,14 +109,16 @@ def _reformat_dict(dictionary=None): } """ formatted_dictionary = collections.OrderedDict() - list_files = dictionary['list_images'] - list_time_stamp = dictionary['list_time_stamp'] - list_time_stamp_user_format = dictionary['list_time_stamp_user_format'] + list_files = dictionary["list_images"] + list_time_stamp = dictionary["list_time_stamp"] + list_time_stamp_user_format = dictionary["list_time_stamp_user_format"] for _index, _file in enumerate(list_files): - formatted_dictionary[_index] = {'filename' : _file, - 'time_stamp' : list_time_stamp[_index], - 'time_stamp_user_format': list_time_stamp_user_format[_index]} + formatted_dictionary[_index] = { + "filename": _file, + "time_stamp": list_time_stamp[_index], + "time_stamp_user_format": list_time_stamp_user_format[_index], + } return formatted_dictionary @@ -117,17 +126,18 @@ def isolate_infos_from_file_index(index=-1, dictionary=None, all_keys=False): result_dictionary = collections.OrderedDict() if all_keys: - for _image in dictionary['list_images'].keys(): - _time_image = dictionary['list_time_stamp'][index] - _user_format_time_image = dictionary['list_time_stamp_user_format'][index] - result_dictionary[_image] = {'system_time' : _time_image, - 'user_format_time': _user_format_time_image} + for _image in dictionary["list_images"].keys(): + _time_image = dictionary["list_time_stamp"][index] + _user_format_time_image = dictionary["list_time_stamp_user_format"][index] + result_dictionary[_image] = {"system_time": _time_image, "user_format_time": _user_format_time_image} else: - _image = dictionary['list_images'][index] - _time_image = dictionary['list_time_stamp'][index] - _user_format_time_image = dictionary['list_time_stamp_user_format'][index] - result_dictionary = {'file_name' : _image, - 'system_time' : _time_image, - 'user_format_time': _user_format_time_image} + _image = dictionary["list_images"][index] + _time_image = dictionary["list_time_stamp"][index] + _user_format_time_image = dictionary["list_time_stamp_user_format"][index] + result_dictionary = { + "file_name": _image, + "system_time": _time_image, + "user_format_time": _user_format_time_image, + } return result_dictionary diff --git a/notebooks/__code/normalization_batch.py b/notebooks/__code/normalization_batch.py index d62b6110..30475cca 100755 --- a/notebooks/__code/normalization_batch.py +++ b/notebooks/__code/normalization_batch.py @@ -1,19 +1,16 @@ import os -import numpy as np -from IPython.display import HTML - -from ipywidgets import widgets, Layout -from IPython.display import display +from IPython.display import HTML, display +from ipywidgets import Layout, widgets from NeuNorm.normalization import Normalization -from __code import utilities, file_handler +from __code import utilities from __code.ipywe import fileselector def close(w): "recursively close a widget" - if hasattr(w, 'children'): + if hasattr(w, "children"): for c in w.children: close(c) continue @@ -22,34 +19,41 @@ def close(w): class myFileSelectorPanel(fileselector.FileSelectorPanel): - def __init__(self, instruction, start_dir=".", type='file', - next=None, - multiple=False, - newdir_toolbar_button=False, - current_ui=None): - super(myFileSelectorPanel, self).__init__(instruction, - start_dir=start_dir, - type=type, - next=next, - multiple=multiple, - newdir_toolbar_button=newdir_toolbar_button) + def __init__( + self, + instruction, + start_dir=".", + type="file", + next=None, + multiple=False, + newdir_toolbar_button=False, + current_ui=None, + ): + super(myFileSelectorPanel, self).__init__( + instruction, + start_dir=start_dir, + type=type, + next=next, + multiple=multiple, + newdir_toolbar_button=newdir_toolbar_button, + ) self.current_ui = current_ui def validate(self, s): super(myFileSelectorPanel, self).validate(s) try: - if self.current_ui.state == 'sample': + if self.current_ui.state == "sample": self.current_ui.files.sample = self.selected - elif self.current_ui.state == 'ob': + elif self.current_ui.state == "ob": self.current_ui.files.ob = self.selected else: self.current_ui.files.df = self.selected parent_folder = os.path.dirname(os.path.dirname(self.selected[0])) self.current_ui.working_dir = parent_folder - self.current_ui.label.value = "{} files selected".format(len(self.selected)) + self.current_ui.label.value = f"{len(self.selected)} files selected" self.current_ui.next_button_ui.disabled = False - self.current_ui.next_button_ui.button_style = 'success' + self.current_ui.next_button_ui.button_style = "success" except AttributeError: pass @@ -67,9 +71,9 @@ class Files: class Panel: - layout = Layout(border='1px lightgray solid', margin='5px', padding='15px') - button_layout = Layout(margin='10px 5px 5px 5px') - label_layout = Layout(height='32px', padding='2px', width='300px') + layout = Layout(border="1px lightgray solid", margin="5px", padding="15px") + button_layout = Layout(margin="10px 5px 5px 5px") + label_layout = Layout(height="32px", padding="2px", width="300px") current_state_label_ui = None prev_button_ui = None @@ -78,10 +82,8 @@ class Panel: df_panel = None top_object = None - - def __init__(self, prev_button=False, next_button=True, state='sample', working_dir='', - top_object=None): + def __init__(self, prev_button=False, next_button=True, state="sample", working_dir="", top_object=None): self.prev_button = prev_button self.next_button = next_button self.state = state @@ -89,7 +91,6 @@ def __init__(self, prev_button=False, next_button=True, state='sample', working_ self.top_object = top_object def init_ui(self, files=None): - self.files = files self.__top_panel() @@ -98,45 +99,45 @@ def init_ui(self, files=None): self.__init_widgets() def __init_widgets(self): - _list = self.files.sample _label = "Sample" - _option = '(mandatory)' - if self.state == 'ob': + _option = "(mandatory)" + if self.state == "ob": _list = self.files.ob - _label = 'Open Beam' - elif self.state == 'df': + _label = "Open Beam" + elif self.state == "df": _list = self.files.df - _label = 'Dark Field' - _option = '(optional)' - self.label.value = "{} files selected".format(len(_list)) - self.title.value = "Select list of {} files {} ".format(_label, _option) - + _label = "Dark Field" + _option = "(optional)" + self.label.value = f"{len(_list)} files selected" + self.title.value = f"Select list of {_label} files {_option} " + if len(_list) > 0: self.next_button_ui.disabled = False - self.next_button_ui.button_style = 'success' - - if self.state == 'df': + self.next_button_ui.button_style = "success" + + if self.state == "df": self.next_button_ui.disabled = False - self.next_button_ui.button_style = 'success' + self.next_button_ui.button_style = "success" def __top_panel(self): - title_ui = widgets.HBox([widgets.Label("Instructions:", - layout=widgets.Layout(width='20%')), - widgets.Label("Select Samples Images and click NEXT", - layout=widgets.Layout(width='50%')), - ]) - - label_ui = widgets.HBox([widgets.Label("Sample selected:", - layout=widgets.Layout(width='20%')), - widgets.Label("None", - layout=widgets.Layout(width='50%')), - ]) + title_ui = widgets.HBox( + [ + widgets.Label("Instructions:", layout=widgets.Layout(width="20%")), + widgets.Label("Select Samples Images and click NEXT", layout=widgets.Layout(width="50%")), + ] + ) + + label_ui = widgets.HBox( + [ + widgets.Label("Sample selected:", layout=widgets.Layout(width="20%")), + widgets.Label("None", layout=widgets.Layout(width="50%")), + ] + ) self.title = title_ui.children[1] # "Select [Samples/OB/DF] Images [and click NEXT] self.label = label_ui.children[1] # number of samples selected - self.top_panel = widgets.VBox(children=[title_ui, label_ui], - layout=self.layout) + self.top_panel = widgets.VBox(children=[title_ui, label_ui], layout=self.layout) def prev_button_clicked(self, event): raise NotImplementedError @@ -147,34 +148,36 @@ def next_button_clicked(self, event): def __bottom_panel(self): list_ui = [] if self.prev_button: - self.prev_button_ui = widgets.Button(description="<< Previous Step", - tooltip='Click to move to previous step', - button_style='success', - disabled=False, - layout=widgets.Layout(width='20%')) + self.prev_button_ui = widgets.Button( + description="<< Previous Step", + tooltip="Click to move to previous step", + button_style="success", + disabled=False, + layout=widgets.Layout(width="20%"), + ) self.prev_button_ui.on_click(self.prev_button_clicked) list_ui.append(self.prev_button_ui) - self.current_state_label_ui = widgets.Label(" ", - layout=widgets.Layout(width='70%')) + self.current_state_label_ui = widgets.Label(" ", layout=widgets.Layout(width="70%")) list_ui.append(self.current_state_label_ui) if self.next_button: - self.next_button_ui = widgets.Button(description="Next Step>>", - tooltip='Click to move to next step', - button_style='warning', - disabled=True, - layout=widgets.Layout(width='20%')) + self.next_button_ui = widgets.Button( + description="Next Step>>", + tooltip="Click to move to next step", + button_style="warning", + disabled=True, + layout=widgets.Layout(width="20%"), + ) list_ui.append(self.next_button_ui) self.next_button_ui.on_click(self.next_button_clicked) self.bottom_panel = widgets.HBox(list_ui) def __file_selector(self): - self.file_selector = myFileSelectorPanel(instruction='', - start_dir=self.working_dir, - multiple=True, - current_ui=self) + self.file_selector = myFileSelectorPanel( + instruction="", start_dir=self.working_dir, multiple=True, current_ui=self + ) def show(self): display(self.top_panel) @@ -191,7 +194,7 @@ def nextStep(self): class WizardPanel: - label_layout = Layout(border='1px lighgray solide', height='35px', padding='8px', width='300px') + label_layout = Layout(border="1px lighgray solide", height="35px", padding="8px", width="300px") sample_panel = None def __init__(self, sample_panel=None): @@ -204,15 +207,13 @@ def __init__(self, sample_panel=None): class SampleSelectionPanel(Panel): - files = None o_norm = None - - def __init__(self, prev_button=False, next_button=True, working_dir='', top_object=None): - super(SampleSelectionPanel, self).__init__(prev_button=prev_button, - next_button=next_button, - working_dir=working_dir, - top_object=top_object) + + def __init__(self, prev_button=False, next_button=True, working_dir="", top_object=None): + super(SampleSelectionPanel, self).__init__( + prev_button=prev_button, next_button=next_button, working_dir=working_dir, top_object=top_object + ) def next_button_clicked(self, event): self.remove() @@ -222,33 +223,30 @@ def next_button_clicked(self, event): class OBSelectionPanel(Panel): - def __init__(self, working_dir='', top_object=None): - super(OBSelectionPanel, self).__init__(prev_button=True, state='ob', - working_dir=working_dir, - top_object=top_object) + def __init__(self, working_dir="", top_object=None): + super(OBSelectionPanel, self).__init__( + prev_button=True, state="ob", working_dir=working_dir, top_object=top_object + ) def next_button_clicked(self, event): self.remove() - _panel = DFSelectionPanel(working_dir=self.working_dir, - top_object=self.top_object) + _panel = DFSelectionPanel(working_dir=self.working_dir, top_object=self.top_object) _panel.init_ui(files=self.files) _panel.show() def prev_button_clicked(self, event): self.remove() - _panel = SampleSelectionPanel(working_dir=self.working_dir, - top_object=self.top_object) + _panel = SampleSelectionPanel(working_dir=self.working_dir, top_object=self.top_object) _panel.init_ui(files=self.files) _panel.show() + class DFSelectionPanel(Panel): - def __init__(self, working_dir='', top_object=None): + def __init__(self, working_dir="", top_object=None): self.working_dir = working_dir - super(DFSelectionPanel, self).__init__(prev_button=True, - next_button=True, - state='df', - working_dir=working_dir, - top_object=top_object) + super(DFSelectionPanel, self).__init__( + prev_button=True, next_button=True, state="df", working_dir=working_dir, top_object=top_object + ) def prev_button_clicked(self, event): self.remove() @@ -258,49 +256,50 @@ def prev_button_clicked(self, event): def next_button_clicked(self, event): self.remove() - o_norm_handler = NormalizationHandler(files=self.files, - working_dir=self.working_dir) + o_norm_handler = NormalizationHandler(files=self.files, working_dir=self.working_dir) o_norm_handler.load_data() self.top_object.o_norm_handler = o_norm_handler self.top_object.o_norm = o_norm_handler.o_norm -class NormalizationHandler(object): + +class NormalizationHandler: """This class will load a subset of the sample, just enough to be able to select ROI""" data = None integrated_sample = [] - working_dir = '' + working_dir = "" o_norm = None normalized_data_array = [] - def __init__(self, files=None, working_dir=''): + def __init__(self, files=None, working_dir=""): self.files = files self.working_dir = working_dir self.data = Data() def load_data(self): self.o_norm = Normalization() - + # sample full_list_sample = self.files.sample nbr_full_list_sampled = len(full_list_sample) if nbr_full_list_sampled > 3: - new_list_sample = [full_list_sample[0], - full_list_sample[int(nbr_full_list_sampled/2)], - full_list_sample[-1]] + new_list_sample = [ + full_list_sample[0], + full_list_sample[int(nbr_full_list_sampled / 2)], + full_list_sample[-1], + ] list_sample = new_list_sample self.o_norm.load(file=list_sample, notebook=True) - self.data.sample = self.o_norm.data['sample']['data'] + self.data.sample = self.o_norm.data["sample"]["data"] self.list_file_names = list_sample def select_export_folder(self): - def display_file_selector_from_shared(ev): - start_dir = os.path.join(self.working_dir, 'shared') + start_dir = os.path.join(self.working_dir, "shared") if not os.path.exists(start_dir): start_dir = self.working_dir @@ -309,8 +308,9 @@ def display_file_selector_from_shared(ev): def display_file_selector_from_home(ev): import getpass + _user = getpass.getuser() - start_dir = os.path.join('/SNS/users', _user) + start_dir = os.path.join("/SNS/users", _user) if not os.path.exists(start_dir): start_dir = self.working_dir @@ -319,15 +319,16 @@ def display_file_selector_from_home(ev): ipts = os.path.basename(self.working_dir) - button_layout = widgets.Layout(width='30%', - border='1px solid gray') + button_layout = widgets.Layout(width="30%", border="1px solid gray") - self.hbox = widgets.HBox([widgets.Button(description="Jump to {} Shared Folder".format(ipts), - button_style='success', - layout=button_layout), - widgets.Button(description="Jump to My Home Folder", - button_style='success', - layout=button_layout)]) + self.hbox = widgets.HBox( + [ + widgets.Button( + description=f"Jump to {ipts} Shared Folder", button_style="success", layout=button_layout + ), + widgets.Button(description="Jump to My Home Folder", button_style="success", layout=button_layout), + ] + ) go_to_shared_button_ui = self.hbox.children[0] go_to_home_button_ui = self.hbox.children[1] @@ -337,27 +338,33 @@ def display_file_selector_from_home(ev): display(self.hbox) self.display_file_selector() - def display_file_selector(self, start_dir=''): - + def display_file_selector(self, start_dir=""): def remove_buttons(ev): self.hbox.close() - self.output_folder_ui = fileselector.FileSelectorPanel(instruction='Select Output Folder', - start_dir=start_dir, - multiple=False, - next=remove_buttons, - type='directory') + self.output_folder_ui = fileselector.FileSelectorPanel( + instruction="Select Output Folder", + start_dir=start_dir, + multiple=False, + next=remove_buttons, + type="directory", + ) self.output_folder_ui.show() def export(self, rois={}): - base_folder = os.path.basename(os.path.dirname(self.list_file_names[0])) + '_normalized' + base_folder = os.path.basename(os.path.dirname(self.list_file_names[0])) + "_normalized" output_folder = os.path.abspath(os.path.join(self.output_folder_ui.selected, base_folder)) utilities.make_dir(dir=output_folder) self.normalized(rois=rois, output_folder=output_folder) - display(HTML('The normalized images are currently being ' + - 'created in ' + output_folder + \ - '

Feel free to start another reduction now!')) + display( + HTML( + 'The normalized images are currently being ' + + 'created in ' + + output_folder + + '

Feel free to start another reduction now!' + ) + ) def prepare_file_names_for_command_line(self, list_files): if list_files: @@ -370,47 +377,39 @@ def prepare_file_names_for_command_line(self, list_files): return str_files return list_files - def normalized(self, rois={}, output_folder=''): - + def normalized(self, rois={}, output_folder=""): py_script = os.path.abspath("./__code/normalization_script.py") - command_line = 'python {}'.format(py_script) + command_line = f"python {py_script}" # sample files str_sample_files = self.prepare_file_names_for_command_line(self.files.sample) - command_line += " -sf={}".format(str_sample_files) + command_line += f" -sf={str_sample_files}" # ob files str_ob_files = self.prepare_file_names_for_command_line(self.files.ob) - command_line += ' -of={}'.format(str_ob_files) + command_line += f" -of={str_ob_files}" # df files if self.files.df: str_df_files = self.prepare_file_names_for_command_line(self.files.df) - command_line += ' -df={}'.format(str_df_files) + command_line += f" -df={str_df_files}" # roi if not rois == {}: _list_roi = [] for _key in rois.keys(): _roi = rois[_key] - x0 = _roi['x0'] - y0 = _roi['y0'] - x1 = _roi['x1'] - y1 = _roi['y1'] - _list_roi.append("{},{},{},{}".format(x0, y0, x1, y1)) + x0 = _roi["x0"] + y0 = _roi["y0"] + x1 = _roi["x1"] + y1 = _roi["y1"] + _list_roi.append(f"{x0},{y0},{x1},{y1}") str_list_roi = ":".join(_list_roi) - command_line += ' -rois={}'.format(str_list_roi) + command_line += f" -rois={str_list_roi}" # output output_folder = output_folder.replace(" ", "\\ ") - command_line += ' --output={} &'.format(output_folder) + command_line += f" --output={output_folder} &" # print("command line > {}".format(command_line)) os.system(command_line) - - - - - - - diff --git a/notebooks/__code/normalization_script.py b/notebooks/__code/normalization_script.py index 9802d902..69f0b77e 100755 --- a/notebooks/__code/normalization_script.py +++ b/notebooks/__code/normalization_script.py @@ -1,19 +1,17 @@ import argparse -import numpy as np from NeuNorm.normalization import Normalization from NeuNorm.roi import ROI -parser = argparse.ArgumentParser(description='Neutron Imaging Normalization') -parser.add_argument('-o', '--output', help='output folder', type=str) -parser.add_argument('-sf', '--sample_files', help='comma separated list of samples', type=str) -parser.add_argument('-of', '--ob_files', help='comma separated list of open beams', type=str) -parser.add_argument('-dc', '--dc_files', help='comma separated list of dark current', type=str) -parser.add_argument('-rois', help='colon string of each roi: x0,y0,x1,y1') +parser = argparse.ArgumentParser(description="Neutron Imaging Normalization") +parser.add_argument("-o", "--output", help="output folder", type=str) +parser.add_argument("-sf", "--sample_files", help="comma separated list of samples", type=str) +parser.add_argument("-of", "--ob_files", help="comma separated list of open beams", type=str) +parser.add_argument("-dc", "--dc_files", help="comma separated list of dark current", type=str) +parser.add_argument("-rois", help="colon string of each roi: x0,y0,x1,y1") def normalization(): - def remove_back_slash(list_files): if list_files: list_files_cleaned = [] @@ -34,26 +32,26 @@ def remove_back_slash(list_files): # print("y1: {}".format(args.roi_y1)) o_norm = Normalization() - list_samples = args.sample_files.split(',') - list_obs = args.ob_files.split(',') + list_samples = args.sample_files.split(",") + list_obs = args.ob_files.split(",") list_samples = remove_back_slash(list_samples) list_obs = remove_back_slash(list_obs) # loading o_norm.load(file=list_samples) - o_norm.load(file=list_obs, data_type='ob') + o_norm.load(file=list_obs, data_type="ob") if args.dc_files: - list_dfs = args.dc_files.split(',') + list_dfs = args.dc_files.split(",") list_dfs = remove_back_slash(list_dfs) - o_norm.load(file=list_dfs, data_type='df') + o_norm.load(file=list_dfs, data_type="df") o_norm.df_correction() if args.rois: - list_rois = args.rois.split(':') + list_rois = args.rois.split(":") array_roi_object = [] for _rois in list_rois: - [x0, y0, x1, y1] = _rois.split(',') #x0,y0,x1,y1 + [x0, y0, x1, y1] = _rois.split(",") # x0,y0,x1,y1 _roi = ROI(x0=int(x0), y0=int(y0), x1=int(x1), y1=int(y1)) array_roi_object.append(_roi) @@ -66,12 +64,6 @@ def remove_back_slash(list_files): output_folder = output_folder.replace("\\", "") o_norm.export(folder=output_folder) -if __name__ == "__main__": - normalization() - - - - - - +if __name__ == "__main__": + normalization() diff --git a/notebooks/__code/normalization_tof/__init__.py b/notebooks/__code/normalization_tof/__init__.py index 1c62abb1..2edc4268 100644 --- a/notebooks/__code/normalization_tof/__init__.py +++ b/notebooks/__code/normalization_tof/__init__.py @@ -1,35 +1,42 @@ -autoreduce_dir = {'VENUS': ["/SNS/VENUS/", "/shared/autoreduce/mcp/images"], - 'SNAP': ["/SNS/SNAP/", "/shared/autoreduce/mcp/"], - } +autoreduce_dir = { + "VENUS": ["/SNS/VENUS/", "/shared/autoreduce/mcp/images"], + "SNAP": ["/SNS/SNAP/", "/shared/autoreduce/mcp/"], +} # shared_dir = {'VENUS': ["/SNS/VENUS/", "/shared/",], # 'SNAP': ["/SNS/SNAP/", "/shared/",]} -distance_source_detector_m = {'VENUS': 25.0, # in meters - 'SNAP': 14.0, # in meters - } - -class DetectorType: - tpx1_legacy = 'tpx1 - old naming convention (until July 2025)' - tpx1 = 'tpx1 - new naming convention (from August 2025)' - tpx3 = 'tpx3' - - -raw_dir = {'VENUS': {DetectorType.tpx1_legacy: ["/SNS/VENUS/", "images/mcp/images/"], - DetectorType.tpx1: ["/SNS/VENUS/", "images/tpx1/"], - DetectorType.tpx3: ["/SNS/VENUS/", ""], - }, - 'SNAP': {DetectorType.tpx1_legacy: ["/SNS/SNAP/", "images/mcp/"], - }, +distance_source_detector_m = { + "VENUS": 25.0, # in meters + "SNAP": 14.0, # in meters } -autoreduce_dir = {'VENUS': {DetectorType.tpx1_legacy: ["/SNS/VENUS/", "shared/autoreduce/mcp/images/"], - DetectorType.tpx1: ["/SNS/VENUS/", "shared/autoreduce"], - DetectorType.tpx3: ["/SNS/VENUS/", "images/tpx3/"], - }, - 'SNAP': {DetectorType.tpx1_legacy: ["/SNS/SNAP/", "images/mcp/"], - }, +class DetectorType: + tpx1_legacy = "tpx1 - old naming convention (until July 2025)" + tpx1 = "tpx1 - new naming convention (from August 2025)" + tpx3 = "tpx3" + + +raw_dir = { + "VENUS": { + DetectorType.tpx1_legacy: ["/SNS/VENUS/", "images/mcp/images/"], + DetectorType.tpx1: ["/SNS/VENUS/", "images/tpx1/"], + DetectorType.tpx3: ["/SNS/VENUS/", ""], + }, + "SNAP": { + DetectorType.tpx1_legacy: ["/SNS/SNAP/", "images/mcp/"], + }, } +autoreduce_dir = { + "VENUS": { + DetectorType.tpx1_legacy: ["/SNS/VENUS/", "shared/autoreduce/mcp/images/"], + DetectorType.tpx1: ["/SNS/VENUS/", "shared/autoreduce"], + DetectorType.tpx3: ["/SNS/VENUS/", "images/tpx3/"], + }, + "SNAP": { + DetectorType.tpx1_legacy: ["/SNS/SNAP/", "images/mcp/"], + }, +} diff --git a/notebooks/__code/normalization_tof/config.py b/notebooks/__code/normalization_tof/config.py index 3c40db1d..297c93bb 100644 --- a/notebooks/__code/normalization_tof/config.py +++ b/notebooks/__code/normalization_tof/config.py @@ -1,5 +1,5 @@ class DEBUG_DATA: - ipts = "IPTS-35945" + ipts = "IPTS-35945" working_dir = f"/SNS/VENUS/{ipts}" autoreduce_dir = f"/SNS/VENUS/{ipts}/shared/autoreduce/mcp/images" output_folder = f"{working_dir}/shared/processed_data/jean" @@ -8,15 +8,15 @@ class DEBUG_DATA: timepix1_config = { - "chip1": {"xoffset": 1, "yoffset": 1, "description": "top right chip"}, - "chip2": {"xoffset": 0, "yoffset": 0, "description": "top left and reference chip"}, - "chip3": {"xoffset": 0, "yoffset": 1, "description": "bottom left chip"}, - "chip4": {"xoffset": 1, "yoffset": 2, "description": "bottom right chip"}, + "chip1": {"xoffset": 1, "yoffset": 1, "description": "top right chip"}, + "chip2": {"xoffset": 0, "yoffset": 0, "description": "top left and reference chip"}, + "chip3": {"xoffset": 0, "yoffset": 1, "description": "bottom left chip"}, + "chip4": {"xoffset": 1, "yoffset": 2, "description": "bottom right chip"}, } timepix3_config = { - "chip1": {"xoffset": 0, "yoffset": 0, "description": "top right chip"}, - "chip2": {"xoffset": 0, "yoffset": 0, "description": "top left and reference chip"}, - "chip3": {"xoffset": 0, "yoffset": 0, "description": "bottom left chip"}, - "chip4": {"xoffset": 0, "yoffset": 0, "description": "bottom right chip"}, + "chip1": {"xoffset": 0, "yoffset": 0, "description": "top right chip"}, + "chip2": {"xoffset": 0, "yoffset": 0, "description": "top left and reference chip"}, + "chip3": {"xoffset": 0, "yoffset": 0, "description": "bottom left chip"}, + "chip4": {"xoffset": 0, "yoffset": 0, "description": "bottom right chip"}, } diff --git a/notebooks/__code/normalization_tof/normalization_for_timepix.py b/notebooks/__code/normalization_tof/normalization_for_timepix.py index 244d4c90..245f8c22 100644 --- a/notebooks/__code/normalization_tof/normalization_for_timepix.py +++ b/notebooks/__code/normalization_tof/normalization_for_timepix.py @@ -1,23 +1,27 @@ import argparse +import glob import logging +import multiprocessing as mp import os +import shutil + import h5py -import glob -import numpy as np -from skimage.io import imread +import matplotlib.pyplot as plt import numpy as np -import multiprocessing as mp -from PIL import Image -import shutil -from IPython.display import display -from IPython.display import HTML import pandas as pd -import matplotlib.pyplot as plt +from IPython.display import HTML, display +from PIL import Image +from skimage.io import imread + # from enum import Enum # from scipy.constants import h, c, electron_volt, m_n - -from __code.normalization_tof.units import convert_array_from_time_to_lambda, convert_array_from_time_to_energy -from __code.normalization_tof.units import TimeUnitOptions, DistanceUnitOptions, EnergyUnitOptions +from __code.normalization_tof.units import ( + DistanceUnitOptions, + EnergyUnitOptions, + TimeUnitOptions, + convert_array_from_time_to_energy, + convert_array_from_time_to_lambda, +) LOG_PATH = "/SNS/VENUS/shared/log/" LOAD_DTYPE = np.uint16 @@ -25,7 +29,7 @@ PROTON_CHARGE_TOLERANCE = 0.1 file_name, ext = os.path.splitext(os.path.basename(__file__)) -user_name = os.getlogin() # add user name to the log file name +user_name = os.getlogin() # add user name to the log file name log_file_name = os.path.join(LOG_PATH, f"{user_name}_{file_name}.log") # logging.basicConfig(filename=log_file_name, # filemode='w', @@ -35,7 +39,7 @@ class PLOT_SIZE: - width = 8 + width = 8 height = 5 @@ -57,7 +61,7 @@ class MasterDictKeys: list_spectra = "list_spectra" spectra_file_name = "spectra_file_name" detector_delay_us = "detector_delay_us" - + class StatusMetadata: all_shutter_counts_found = True @@ -66,7 +70,7 @@ class StatusMetadata: def _worker(fl): - return (imread(fl).astype(LOAD_DTYPE)).swapaxes(0,1) + return (imread(fl).astype(LOAD_DTYPE)).swapaxes(0, 1) def load_data_using_multithreading(list_tif: list = None, combine_tof: bool = False) -> np.ndarray: @@ -87,9 +91,9 @@ def retrieve_list_of_tif(folder: str) -> list: return list_tif -def create_x_axis_file(lambda_array: np.ndarray = None, - energy_array: np.ndarray = None, - output_folder: str = "./") -> str: +def create_x_axis_file( + lambda_array: np.ndarray = None, energy_array: np.ndarray = None, output_folder: str = "./" +) -> str: """create x axis file with lambda, energy and tof arrays""" x_axis_data = { "file_index": np.arange(len(lambda_array)), @@ -107,23 +111,25 @@ def correct_chips_alignment(data: np.ndarray) -> np.ndarray: return data # Placeholder for chips alignment correction logic -def normalization_with_list_of_runs(sample_run_numbers: list = None, - ob_run_numbers: list = None, - output_folder: str ="./", - nexus_path: str = None, - verbose: bool = False, - proton_charge_flag=True, - shutter_counts_flag=True, - replace_ob_zeros_by_nan_flag=False, - output_tif: bool = True, - instrument: str = "VENUS", - detector_delay_us: float = None, - preview: bool = False, - distance_source_detector_m: float = 25, - correct_chips_alignment_flag: bool = True, - export_mode: dict = None) -> None | np.ndarray: +def normalization_with_list_of_runs( + sample_run_numbers: list = None, + ob_run_numbers: list = None, + output_folder: str = "./", + nexus_path: str = None, + verbose: bool = False, + proton_charge_flag=True, + shutter_counts_flag=True, + replace_ob_zeros_by_nan_flag=False, + output_tif: bool = True, + instrument: str = "VENUS", + detector_delay_us: float = None, + preview: bool = False, + distance_source_detector_m: float = 25, + correct_chips_alignment_flag: bool = True, + export_mode: dict = None, +) -> None | np.ndarray: """normalize the sample data with ob data using proton charge and shutter counts - + parameters: sample_run_numbers: list of full path of sample run numbers (ex: ['/SNS/VENUS/IPTS-36035/shared/autoreduce/mcp/images/Run_8747']) ob_run_numbers: list of full path of ob run numbers (ex: ['/SNS/VENUS/IPTS-36035/shared/autoreduce/mcp/images/Run_8748']) @@ -168,19 +174,20 @@ def normalization_with_list_of_runs(sample_run_numbers: list = None, logging.info(f"{export_corrected_integrated_normalized_data = }") logging.info(f"{export_x_axis = }") - sample_master_dict, sample_status_metadata = create_master_dict(list_run_numbers=sample_run_numbers, - data_type=DataType.sample, - instrument=instrument, - nexus_root_path=nexus_path) - ob_master_dict, ob_status_metadata = create_master_dict(list_run_numbers=ob_run_numbers, - data_type=DataType.ob, - instrument=instrument, - nexus_root_path=nexus_path) - + sample_master_dict, sample_status_metadata = create_master_dict( + list_run_numbers=sample_run_numbers, + data_type=DataType.sample, + instrument=instrument, + nexus_root_path=nexus_path, + ) + ob_master_dict, ob_status_metadata = create_master_dict( + list_run_numbers=ob_run_numbers, data_type=DataType.ob, instrument=instrument, nexus_root_path=nexus_path + ) + # only for SNAP if instrument == "SNAP": for _run in sample_master_dict.keys(): - sample_master_dict[_run][MasterDictKeys.detector_delay_us] = detector_delay_us + sample_master_dict[_run][MasterDictKeys.detector_delay_us] = detector_delay_us for _run in ob_master_dict.keys(): ob_master_dict[_run][MasterDictKeys.detector_delay_us] = detector_delay_us @@ -190,7 +197,9 @@ def normalization_with_list_of_runs(sample_run_numbers: list = None, logging.info(f"loading ob# {_ob_run_number} ... ") if verbose: display(HTML(f"Loading ob# {_ob_run_number} ...")) - ob_master_dict[_ob_run_number][MasterDictKeys.data] = load_data_using_multithreading(ob_master_dict[_ob_run_number][MasterDictKeys.list_tif], combine_tof=False) + ob_master_dict[_ob_run_number][MasterDictKeys.data] = load_data_using_multithreading( + ob_master_dict[_ob_run_number][MasterDictKeys.list_tif], combine_tof=False + ) logging.info(f"ob# {_ob_run_number} loaded!") logging.info(f"{ob_master_dict[_ob_run_number][MasterDictKeys.data].shape = }") if verbose: @@ -198,21 +207,26 @@ def normalization_with_list_of_runs(sample_run_numbers: list = None, display(HTML(f"{ob_master_dict[_ob_run_number][MasterDictKeys.data].shape = }")) if proton_charge_flag: - normalized_by_proton_charge = (sample_status_metadata.all_proton_charge_found and ob_status_metadata.all_proton_charge_found) + normalized_by_proton_charge = ( + sample_status_metadata.all_proton_charge_found and ob_status_metadata.all_proton_charge_found + ) else: normalized_by_proton_charge = False - + if shutter_counts_flag: - normalized_by_shutter_counts = (sample_status_metadata.all_shutter_counts_found and ob_status_metadata.all_shutter_counts_found) + normalized_by_shutter_counts = ( + sample_status_metadata.all_shutter_counts_found and ob_status_metadata.all_shutter_counts_found + ) else: normalized_by_shutter_counts = False # combine all ob images - ob_data_combined = combine_ob_images(ob_master_dict, - use_proton_charge=normalized_by_proton_charge, - use_shutter_counts=normalized_by_shutter_counts, - replace_ob_zeros_by_nan=replace_ob_zeros_by_nan_flag, - ) + ob_data_combined = combine_ob_images( + ob_master_dict, + use_proton_charge=normalized_by_proton_charge, + use_shutter_counts=normalized_by_shutter_counts, + replace_ob_zeros_by_nan=replace_ob_zeros_by_nan_flag, + ) logging.info(f"{ob_data_combined.shape = }") if verbose: display(HTML(f"{ob_data_combined.shape = }")) @@ -222,25 +236,29 @@ def normalization_with_list_of_runs(sample_run_numbers: list = None, if verbose: display(HTML("Correcting chips alignment ...")) ob_data_combined = correct_chips_alignment(ob_data_combined) - logging.info(f"Chips alignment corrected!") + logging.info("Chips alignment corrected!") if verbose: - display(HTML(f"Chips alignment corrected!")) + display(HTML("Chips alignment corrected!")) # export ob data if requested - if export_corrected_stack_of_ob_data or export_corrected_integrated_ob_data: - export_ob_images(ob_run_numbers, - output_folder, - export_corrected_stack_of_ob_data, - export_corrected_integrated_ob_data, - ob_data_combined, - spectra_file_name=ob_master_dict[_ob_run_number][MasterDictKeys.spectra_file_name]) + if export_corrected_stack_of_ob_data or export_corrected_integrated_ob_data: + export_ob_images( + ob_run_numbers, + output_folder, + export_corrected_stack_of_ob_data, + export_corrected_integrated_ob_data, + ob_data_combined, + spectra_file_name=ob_master_dict[_ob_run_number][MasterDictKeys.spectra_file_name], + ) # load sample images for _sample_run_number in sample_master_dict.keys(): logging.info(f"loading sample# {_sample_run_number} ... ") if verbose: display(HTML(f"Loading sample# {_sample_run_number} ...")) - sample_master_dict[_sample_run_number][MasterDictKeys.data] = load_data_using_multithreading(sample_master_dict[_sample_run_number][MasterDictKeys.list_tif], combine_tof=False) + sample_master_dict[_sample_run_number][MasterDictKeys.data] = load_data_using_multithreading( + sample_master_dict[_sample_run_number][MasterDictKeys.list_tif], combine_tof=False + ) logging.info(f"sample# {_sample_run_number} loaded!") logging.info(f"{sample_master_dict[_sample_run_number][MasterDictKeys.data].shape = }") if verbose: @@ -252,10 +270,12 @@ def normalization_with_list_of_runs(sample_run_numbers: list = None, if verbose: display(HTML("Correcting chips alignment ...")) for _sample_run_number in sample_master_dict.keys(): - sample_master_dict[_sample_run_number][MasterDictKeys.data] = correct_chips_alignment(sample_master_dict[_sample_run_number][MasterDictKeys.data]) - logging.info(f"Chips alignment corrected!") + sample_master_dict[_sample_run_number][MasterDictKeys.data] = correct_chips_alignment( + sample_master_dict[_sample_run_number][MasterDictKeys.data] + ) + logging.info("Chips alignment corrected!") if verbose: - display(HTML(f"Chips alignment corrected!")) + display(HTML("Chips alignment corrected!")) normalized_data = {} @@ -270,27 +290,30 @@ def normalization_with_list_of_runs(sample_run_numbers: list = None, # get statistics of sample data data_shape = _sample_data.shape nbr_pixels = data_shape[1] * data_shape[2] - logging.info(f" **** Statistics of sample data *****") + logging.info(" **** Statistics of sample data *****") number_of_zeros = np.sum(_sample_data == 0) logging.info(f"\t sample data shape: {data_shape}") logging.info(f"\t Number of zeros in sample data: {number_of_zeros}") - logging.info(f"\t Percentage of zeros in sample data: {number_of_zeros / (data_shape[0] * nbr_pixels) * 100:.2f}%") + logging.info( + f"\t Percentage of zeros in sample data: {number_of_zeros / (data_shape[0] * nbr_pixels) * 100:.2f}%" + ) logging.info(f"\t Mean of sample data: {np.mean(_sample_data)}") logging.info(f"\t maximum of sample data: {np.max(_sample_data)}") logging.info(f"\t minimum of sample data: {np.min(_sample_data)}") - logging.info(f"**********************************") + logging.info("**********************************") if normalized_by_proton_charge: proton_charge = sample_master_dict[_sample_run_number][MasterDictKeys.proton_charge] _sample_data = _sample_data / proton_charge if normalized_by_shutter_counts: - list_shutter_values_for_each_image = produce_list_shutter_for_each_image(list_time_spectra=ob_master_dict[_ob_run_number][MasterDictKeys.list_spectra], - list_shutter_counts=sample_master_dict[_sample_run_number][MasterDictKeys.shutter_counts], - ) - + list_shutter_values_for_each_image = produce_list_shutter_for_each_image( + list_time_spectra=ob_master_dict[_ob_run_number][MasterDictKeys.list_spectra], + list_shutter_counts=sample_master_dict[_sample_run_number][MasterDictKeys.shutter_counts], + ) + sample_data = [] - for _sample, _shutter_value in zip(_sample_data, list_shutter_values_for_each_image): + for _sample, _shutter_value in zip(_sample_data, list_shutter_values_for_each_image, strict=False): sample_data.append(_sample / _shutter_value) _sample_data = np.array(sample_data) @@ -301,12 +324,14 @@ def normalization_with_list_of_runs(sample_run_numbers: list = None, # export sample data after correction if requested if export_corrected_stack_of_sample_data or export_corrected_integrated_sample_data: - export_sample_images(output_folder, - export_corrected_stack_of_sample_data, - export_corrected_integrated_sample_data, - _sample_run_number, - _sample_data, - spectra_file_name=sample_master_dict[_sample_run_number][MasterDictKeys.spectra_file_name]) + export_sample_images( + output_folder, + export_corrected_stack_of_sample_data, + export_corrected_integrated_sample_data, + _sample_run_number, + _sample_data, + spectra_file_name=sample_master_dict[_sample_run_number][MasterDictKeys.spectra_file_name], + ) # _sample_data = np.divide(_sample_data, ob_data_combined, out=np.zeros_like(_sample_data), where=ob_data_combined!=0) # _sample_data = np.divide(_sample_data, ob_data_combined, out=np.zeros_like(_sample_data)) @@ -323,35 +348,38 @@ def normalization_with_list_of_runs(sample_run_numbers: list = None, # normalized_data[_sample_run_number] = np.array(np.divide(_sample_data, ob_data_combined)) logging.info(f"{normalized_data[_sample_run_number].shape = }") - logging.info(f"{normalized_data[_sample_run_number].dtype = }") + logging.info(f"{normalized_data[_sample_run_number].dtype = }") detector_delay_us = sample_master_dict[_sample_run_number][MasterDictKeys.detector_delay_us] time_spectra = sample_master_dict[_sample_run_number][MasterDictKeys.list_spectra] - lambda_array = convert_array_from_time_to_lambda(time_array=time_spectra, - time_unit=TimeUnitOptions.s, - distance_source_detector=distance_source_detector_m, - distance_source_detector_unit=DistanceUnitOptions.m, - detector_offset=detector_delay_us, - detector_offset_unit=TimeUnitOptions.us, - lambda_unit=DistanceUnitOptions.angstrom) - energy_array = convert_array_from_time_to_energy(time_array=time_spectra, - time_unit=TimeUnitOptions.s, - distance_source_detector=distance_source_detector_m, - distance_source_detector_unit=DistanceUnitOptions.m, - detector_offset=detector_delay_us, - detector_offset_unit=TimeUnitOptions.us, - energy_unit=EnergyUnitOptions.eV) + lambda_array = convert_array_from_time_to_lambda( + time_array=time_spectra, + time_unit=TimeUnitOptions.s, + distance_source_detector=distance_source_detector_m, + distance_source_detector_unit=DistanceUnitOptions.m, + detector_offset=detector_delay_us, + detector_offset_unit=TimeUnitOptions.us, + lambda_unit=DistanceUnitOptions.angstrom, + ) + energy_array = convert_array_from_time_to_energy( + time_array=time_spectra, + time_unit=TimeUnitOptions.s, + distance_source_detector=distance_source_detector_m, + distance_source_detector_unit=DistanceUnitOptions.m, + detector_offset=detector_delay_us, + detector_offset_unit=TimeUnitOptions.us, + energy_unit=EnergyUnitOptions.eV, + ) if preview: - # display preview of normalized data - fig, axs1 = plt.subplots(1, 2, figsize=(2*PLOT_SIZE.width, PLOT_SIZE.height)) + fig, axs1 = plt.subplots(1, 2, figsize=(2 * PLOT_SIZE.width, PLOT_SIZE.height)) sample_data_integrated = np.nanmean(_sample_data, axis=0) - im0 = axs1[0].imshow(sample_data_integrated, cmap='gray') + im0 = axs1[0].imshow(sample_data_integrated, cmap="gray") plt.colorbar(im0, ax=axs1[0]) axs1[0].set_title(f"Sample data: {_sample_run_number} | detector delay: {detector_delay_us:.2f} us") - + sample_integrated1 = np.nansum(_sample_data, axis=1) sample_integrated = np.nansum(sample_integrated1, axis=1) axs1[1].plot(sample_integrated) @@ -359,11 +387,11 @@ def normalization_with_list_of_runs(sample_run_numbers: list = None, axs1[1].set_ylabel("mean of full image") plt.tight_layout - fig, axs2 = plt.subplots(1, 2, figsize=(2*PLOT_SIZE.width, PLOT_SIZE.height)) + fig, axs2 = plt.subplots(1, 2, figsize=(2 * PLOT_SIZE.width, PLOT_SIZE.height)) ob_data_integrated = np.nanmean(ob_data_combined, axis=0) - im1 = axs2[0].imshow(ob_data_integrated, cmap='gray') + im1 = axs2[0].imshow(ob_data_integrated, cmap="gray") plt.colorbar(im1, ax=axs2[0]) - axs2[0].set_title(f"OB combinded data ") + axs2[0].set_title("OB combinded data ") ob_integrated1 = np.nansum(ob_data_combined, axis=1) ob_integrated = np.nansum(ob_integrated1, axis=1) @@ -372,9 +400,9 @@ def normalization_with_list_of_runs(sample_run_numbers: list = None, axs2[1].set_ylabel("mean of full image") plt.tight_layout() - fig, axs3 = plt.subplots(1, 2, figsize=(2*PLOT_SIZE.width, PLOT_SIZE.height)) + fig, axs3 = plt.subplots(1, 2, figsize=(2 * PLOT_SIZE.width, PLOT_SIZE.height)) normalized_data_integrated = np.nanmean(normalized_data[_sample_run_number], axis=0) - im2 = axs3[0].imshow(normalized_data_integrated, cmap='gray') + im2 = axs3[0].imshow(normalized_data_integrated, cmap="gray") plt.colorbar(im2, ax=axs3[0]) axs3[0].set_title(f"Normalized data {_sample_run_number}") @@ -382,18 +410,18 @@ def normalization_with_list_of_runs(sample_run_numbers: list = None, profile = np.nanmean(profile_step1, axis=1) axs3[1].plot(profile) axs3[1].set_xlabel("File image index") - axs3[1].set_ylabel("mean of full image") + axs3[1].set_ylabel("mean of full image") plt.tight_layout() - fig, axs4 = plt.subplots(1, 2, figsize=(2*PLOT_SIZE.width, PLOT_SIZE.height)) - axs4[0].plot(lambda_array, profile, '*') + fig, axs4 = plt.subplots(1, 2, figsize=(2 * PLOT_SIZE.width, PLOT_SIZE.height)) + axs4[0].plot(lambda_array, profile, "*") axs4[0].set_xlabel("Lambda (A)") axs4[0].set_ylabel("mean of full image") - axs4[1].plot(energy_array, profile, '*') + axs4[1].plot(energy_array, profile, "*") axs4[1].set_xlabel("Energy (eV)") axs4[1].set_ylabel("mean of full image") - axs4[1].set_xscale('log') + axs4[1].set_xscale("log") plt.tight_layout() plt.show() @@ -403,7 +431,9 @@ def normalization_with_list_of_runs(sample_run_numbers: list = None, list_ob_runs = list(ob_master_dict.keys()) str_ob_runs = "_".join([str(_ob_run_number) for _ob_run_number in list_ob_runs]) - full_output_folder = os.path.join(output_folder, f"normalized_sample_{_sample_run_number}_obs_{str_ob_runs}") # issue for WEI here ! + full_output_folder = os.path.join( + output_folder, f"normalized_sample_{_sample_run_number}_obs_{str_ob_runs}" + ) # issue for WEI here ! full_output_folder = os.path.abspath(full_output_folder) os.makedirs(full_output_folder, exist_ok=True) @@ -430,32 +460,35 @@ def normalization_with_list_of_runs(sample_run_numbers: list = None, shutil.copy(spectra_file, output_stack_folder) # create x-axis file - create_x_axis_file(lambda_array=lambda_array, - energy_array=energy_array, - output_folder=output_stack_folder, - ) + create_x_axis_file( + lambda_array=lambda_array, + energy_array=energy_array, + output_folder=output_stack_folder, + ) - logging.info(f"Normalization and export is done!") + logging.info("Normalization and export is done!") if verbose: - display(HTML(f"Normalization and export is done!")) + display(HTML("Normalization and export is done!")) def get_detector_offset_from_nexus(nexus_path: str) -> float: """get the detector offset from the nexus file""" - with h5py.File(nexus_path, 'r') as hdf5_data: + with h5py.File(nexus_path, "r") as hdf5_data: try: - detector_offset_micros = hdf5_data['entry']['DASlogs']['BL10:Det:TH:DSPT1:TIDelay']['value'][0] + detector_offset_micros = hdf5_data["entry"]["DASlogs"]["BL10:Det:TH:DSPT1:TIDelay"]["value"][0] except KeyError: detector_offset_micros = None return detector_offset_micros -def export_sample_images(output_folder, - export_corrected_stack_of_sample_data, - export_corrected_integrated_sample_data, - _sample_run_number, - _sample_data, - spectra_file_name=None): +def export_sample_images( + output_folder, + export_corrected_stack_of_sample_data, + export_corrected_integrated_sample_data, + _sample_run_number, + _sample_data, + spectra_file_name=None, +): logging.info(f"> Exporting sample corrected images to {output_folder} ...") sample_output_folder = os.path.join(output_folder, f"sample_{_sample_run_number}") @@ -474,7 +507,7 @@ def export_sample_images(output_folder, logging.info(f"\t -> Exporting spectra file {spectra_file_name} to {output_stack_folder} is done!") if export_corrected_integrated_sample_data: - # making up the integrated sample data + # making up the integrated sample data sample_data_integrated = np.nanmean(_sample_data, axis=0) full_file_name = os.path.join(sample_output_folder, "integrated.tif") logging.info(f"\t -> Exporting integrated sample data to {full_file_name} ...") @@ -483,16 +516,21 @@ def export_sample_images(output_folder, display(HTML(f"Created folder {output_stack_folder} for sample outputs!")) -def export_ob_images(ob_run_numbers, - output_folder, - export_corrected_stack_of_ob_data, - export_corrected_integrated_ob_data, - ob_data_combined, - spectra_file_name): + +def export_ob_images( + ob_run_numbers, + output_folder, + export_corrected_stack_of_ob_data, + export_corrected_integrated_ob_data, + ob_data_combined, + spectra_file_name, +): """export ob images to the output folder""" logging.info(f"> Exporting combined ob images to {output_folder} ...") logging.info(f"\t{ob_run_numbers = }") - list_ob_runs_number_only = [str(isolate_run_number_from_full_path(_ob_run_number)) for _ob_run_number in ob_run_numbers] + list_ob_runs_number_only = [ + str(isolate_run_number_from_full_path(_ob_run_number)) for _ob_run_number in ob_run_numbers + ] if len(list_ob_runs_number_only) == 1: ob_output_folder = os.path.join(output_folder, f"ob_{list_ob_runs_number_only[0]}") else: @@ -507,7 +545,7 @@ def export_ob_images(ob_run_numbers, os.makedirs(output_stack_folder, exist_ok=True) if export_corrected_integrated_ob_data: - # making up the integrated ob data + # making up the integrated ob data ob_data_integrated = np.nanmean(ob_data_combined, axis=0) full_file_name = os.path.join(ob_output_folder, "integrated.tif") logging.info(f"\t -> Exporting integrated ob data to {full_file_name} ...") @@ -533,7 +571,7 @@ def normalization(sample_folder=None, ob_folder=None, output_folder="./", verbos def make_tiff(data: list, filename: str = "", metadata: dict = None) -> None: - new_image = Image.fromarray(np.array(data), mode='F') + new_image = Image.fromarray(np.array(data), mode="F") if metadata: new_image.save(filename, tiffinfo=metadata) else: @@ -557,16 +595,18 @@ def init_master_dict(list_run_numbers: list[str]) -> dict: for run_number_full_path in list_run_numbers: run_number = isolate_run_number(run_number_full_path) - master_dict[run_number] = {MasterDictKeys.nexus_path: None, - MasterDictKeys.frame_number: None, - MasterDictKeys.data_path: None, - MasterDictKeys.proton_charge: None, - MasterDictKeys.matching_ob: [] , - MasterDictKeys.list_tif: [], - MasterDictKeys.list_spectra: None, - MasterDictKeys.spectra_file_name: None, - MasterDictKeys.detector_delay_us: None, - MasterDictKeys.data: None} + master_dict[run_number] = { + MasterDictKeys.nexus_path: None, + MasterDictKeys.frame_number: None, + MasterDictKeys.data_path: None, + MasterDictKeys.proton_charge: None, + MasterDictKeys.matching_ob: [], + MasterDictKeys.list_tif: [], + MasterDictKeys.list_spectra: None, + MasterDictKeys.spectra_file_name: None, + MasterDictKeys.detector_delay_us: None, + MasterDictKeys.data: None, + } return master_dict @@ -598,7 +638,7 @@ def update_dict_with_shutter_counts(master_dict: dict) -> tuple[dict, bool]: continue else: shutter_count_file = _list_files[0] - with open(shutter_count_file, 'r') as f: + with open(shutter_count_file) as f: lines = f.readlines() list_shutter_counts = [] for _line in lines: @@ -606,7 +646,7 @@ def update_dict_with_shutter_counts(master_dict: dict) -> tuple[dict, bool]: if _value == "0": break list_shutter_counts.append(float(_value)) - master_dict[run_number][MasterDictKeys.shutter_counts] = list_shutter_counts + master_dict[run_number][MasterDictKeys.shutter_counts] = list_shutter_counts return master_dict, status_all_shutter_counts_found @@ -636,14 +676,14 @@ def update_dict_with_proton_charge(master_dict: dict) -> tuple[dict, bool]: for _run_number in master_dict.keys(): _nexus_path = master_dict[_run_number][MasterDictKeys.nexus_path] try: - with h5py.File(_nexus_path, 'r') as hdf5_data: - proton_charge = hdf5_data['entry'][MasterDictKeys.proton_charge][0] / 1e12 + with h5py.File(_nexus_path, "r") as hdf5_data: + proton_charge = hdf5_data["entry"][MasterDictKeys.proton_charge][0] / 1e12 except KeyError: proton_charge = None status_all_proton_charge_found = False - master_dict[_run_number][MasterDictKeys.proton_charge] = proton_charge + master_dict[_run_number][MasterDictKeys.proton_charge] = proton_charge return status_all_proton_charge_found - + def update_dict_with_list_of_images(master_dict: dict) -> dict: """update the master dict with list of images""" @@ -662,7 +702,9 @@ def get_list_run_number(data_folder: str) -> list: def update_dict_with_nexus_full_path(nexus_root_path: str, instrument: str, master_dict: dict) -> dict: """create dict of nexus path for each run number""" for run_number in master_dict.keys(): - master_dict[run_number][MasterDictKeys.nexus_path] = os.path.join(nexus_root_path, f"{instrument}_{run_number}.nxs.h5") + master_dict[run_number][MasterDictKeys.nexus_path] = os.path.join( + nexus_root_path, f"{instrument}_{run_number}.nxs.h5" + ) def update_with_nexus_metadata(master_dict: dict) -> dict: @@ -678,11 +720,13 @@ def update_dict_with_data_full_path(data_root_path: str, master_dict: dict) -> d master_dict[run_number][MasterDictKeys.data_path] = os.path.join(data_root_path, f"Run_{run_number}") -def create_master_dict(list_run_numbers: list = None, - data_type: DataType = DataType.sample, - data_root_path: str = None, - instrument: str = "VENUS", - nexus_root_path: str = None) -> tuple[dict, StatusMetadata]: +def create_master_dict( + list_run_numbers: list = None, + data_type: DataType = DataType.sample, + data_root_path: str = None, + instrument: str = "VENUS", + nexus_root_path: str = None, +) -> tuple[dict, StatusMetadata]: logging.info(f"Create {data_type} master dict of runs: {list_run_numbers = }") status_metadata = StatusMetadata() @@ -697,41 +741,41 @@ def create_master_dict(list_run_numbers: list = None, # retrieve metadata for each run number master_dict = init_master_dict(list_run_numbers) - logging.info(f"updating with data full path!") + logging.info("updating with data full path!") update_dict_with_data_full_path(data_root_path, master_dict) - logging.info(f"updating with nexus full path!") + logging.info("updating with nexus full path!") update_dict_with_nexus_full_path(nexus_root_path, instrument, master_dict) - logging.info(f"updating with nexus metadata") + logging.info("updating with nexus metadata") update_with_nexus_metadata(master_dict) - logging.info(f"updating with shutter counts!") + logging.info("updating with shutter counts!") master_dict, all_shutter_counts_found = update_dict_with_shutter_counts(master_dict) if not all_shutter_counts_found: status_metadata.all_shutter_counts_found = False logging.info(f"{master_dict = }") if all_shutter_counts_found: - logging.info(f"updating with spectra values!") + logging.info("updating with spectra values!") master_dict, all_spectra_found = update_dict_with_spectra_files(master_dict) if not all_spectra_found: status_metadata.all_spectra_found = False logging.info(f"{master_dict = }") - logging.info(f"updating with proton charge!") + logging.info("updating with proton charge!") all_proton_charge_found = update_dict_with_proton_charge(master_dict) if not all_proton_charge_found: status_metadata.all_proton_charge_found = False logging.info(f"{master_dict = }") - logging.info(f"updating with list of images!") + logging.info("updating with list of images!") update_dict_with_list_of_images(master_dict) return master_dict, status_metadata -def produce_list_shutter_for_each_image(list_time_spectra:list = None, list_shutter_counts:list = None) -> list: +def produce_list_shutter_for_each_image(list_time_spectra: list = None, list_shutter_counts: list = None) -> list: """produce list of shutter counts for each image""" delat_time_spectra = list_time_spectra[1] - list_time_spectra[0] @@ -746,26 +790,26 @@ def produce_list_shutter_for_each_image(list_time_spectra:list = None, list_shut list_shutter_values_for_each_image.fill(list_shutter_counts[0]) return list_shutter_values_for_each_image - list_shutter_values_for_each_image[0: list_index_jump[0]+1].fill(list_shutter_counts[0]) + list_shutter_values_for_each_image[0 : list_index_jump[0] + 1].fill(list_shutter_counts[0]) for _index in range(1, len(list_index_jump)): _start = list_index_jump[_index - 1] _end = list_index_jump[_index] - list_shutter_values_for_each_image[_start+1: _end+1].fill(list_shutter_counts[_index]) + list_shutter_values_for_each_image[_start + 1 : _end + 1].fill(list_shutter_counts[_index]) - list_shutter_values_for_each_image[list_index_jump[-1]+1:] = list_shutter_counts[-1] + list_shutter_values_for_each_image[list_index_jump[-1] + 1 :] = list_shutter_counts[-1] return list_shutter_values_for_each_image -def combine_ob_images(ob_master_dict: dict, - use_proton_charge: bool = False, - use_shutter_counts: bool = False, - replace_ob_zeros_by_nan: bool = False, - ) -> np.ndarray: - +def combine_ob_images( + ob_master_dict: dict, + use_proton_charge: bool = False, + use_shutter_counts: bool = False, + replace_ob_zeros_by_nan: bool = False, +) -> np.ndarray: """combine all ob images and correct by proton charge and shutter counts""" - logging.info(f"Combining all open beam images") + logging.info("Combining all open beam images") logging.info(f"\tcorrecting by proton charge: {use_proton_charge}") logging.info(f"\tshutter counts: {use_shutter_counts}") logging.info(f"\treplace ob zeros by nan: {replace_ob_zeros_by_nan}") @@ -778,7 +822,7 @@ def combine_ob_images(ob_master_dict: dict, # get statistics of ob data data_shape = ob_data.shape nbr_pixels = data_shape[1] * data_shape[2] - logging.info(f" **** Statistics of ob data *****") + logging.info(" **** Statistics of ob data *****") number_of_zeros = np.sum(ob_data == 0) logging.info(f"\t ob data shape: {data_shape}") logging.info(f"\t Number of zeros in ob data: {number_of_zeros}") @@ -786,21 +830,22 @@ def combine_ob_images(ob_master_dict: dict, logging.info(f"\t Mean of ob data: {np.mean(ob_data)}") logging.info(f"\t maximum of ob data: {np.max(ob_data)}") logging.info(f"\t minimum of ob data: {np.min(ob_data)}") - logging.info(f"**********************************") + logging.info("**********************************") if use_proton_charge: - logging.info(f"\t -> Normalized by proton charge") + logging.info("\t -> Normalized by proton charge") proton_charge = ob_master_dict[_ob_run_number][MasterDictKeys.proton_charge] ob_data = ob_data / proton_charge logging.info(f"{ob_data.shape = }") if use_shutter_counts: - logging.info(f"\t -> Normalized by shutter counts") + logging.info("\t -> Normalized by shutter counts") + + list_shutter_values_for_each_image = produce_list_shutter_for_each_image( + list_time_spectra=ob_master_dict[_ob_run_number][MasterDictKeys.list_spectra], + list_shutter_counts=ob_master_dict[_ob_run_number][MasterDictKeys.shutter_counts], + ) - list_shutter_values_for_each_image = produce_list_shutter_for_each_image(list_time_spectra=ob_master_dict[_ob_run_number][MasterDictKeys.list_spectra], - list_shutter_counts=ob_master_dict[_ob_run_number][MasterDictKeys.shutter_counts], - ) - logging.info(f"{list_shutter_values_for_each_image.shape = }") temp_ob_data = np.empty_like(ob_data, dtype=np.float32) for _index in range(len(list_shutter_values_for_each_image)): @@ -813,7 +858,7 @@ def combine_ob_images(ob_master_dict: dict, # remove zeros if replace_ob_zeros_by_nan: - ob_data[ob_data == 0] = np.NaN + ob_data[ob_data == 0] = np.nan # if True: # # replace zeros in OB by median of surrounding pixels @@ -827,34 +872,35 @@ def combine_ob_images(ob_master_dict: dict, # _t = where_ob_zeros[0][_index] # _y = where_ob_zeros[1][_index] # _x = where_ob_zeros[2][_index] - # ob_data[_t, _y, _x] = np.nanmedian(ob_data[_t, _y-1:_y+2, _x-1:_x+2]) + # ob_data[_t, _y, _x] = np.nanmedian(ob_data[_t, _y-1:_y+2, _x-1:_x+2]) full_ob_data_corrected.append(ob_data) logging.info(f"{np.shape(full_ob_data_corrected) = }") - logging.info(f"Combining all ob images is done!") + logging.info("Combining all ob images is done!") logging.info(f"\tbefore: {len(full_ob_data_corrected) = }") ob_data_combined = np.array(full_ob_data_corrected).mean(axis=0) logging.info(f"\tafter: {ob_data_combined.shape = }") # remove zeros if replace_ob_zeros_by_nan: - ob_data_combined[ob_data_combined == 0] = np.NaN + ob_data_combined[ob_data_combined == 0] = np.nan return ob_data_combined -if __name__ == '__main__': - +if __name__ == "__main__": # sample_master_dict = {'run_number': {'nexus_path': 'path', 'frame_number': 'value', 'proton_charge': 'value', 'matching_ob': []}} - parser = argparse.ArgumentParser(description="Normalized Timepix data with shutter counts and proton charge", - formatter_class=argparse.ArgumentDefaultsHelpFormatter) - + parser = argparse.ArgumentParser( + description="Normalized Timepix data with shutter counts and proton charge", + formatter_class=argparse.ArgumentDefaultsHelpFormatter, + ) + parser.add_argument("--sample", type=str, nargs=1, help="Full path to sample run number") parser.add_argument("--ob", type=str, nargs=1, help="Full path to the ob run number") parser.add_argument("--output", type=str, nargs=1, help="Path to the output folder", default="./") - + args = parser.parse_args() logging.info(f"{args = }") @@ -870,7 +916,7 @@ def combine_ob_images(ob_master_dict: dict, print("\n *** INPUT ERROR of sample run number! ***\n") print(parser.print_help()) exit() - + try: ob_run_number = args.ob[0] if not os.path.exists(ob_run_number): @@ -886,17 +932,19 @@ def combine_ob_images(ob_master_dict: dict, try: output_folder = args.output[0] - + except TypeError: print("\n *** INPUT ERROR of output folder! ***\n") print(parser.print_help()) exit() - normalization_with_list_of_runs(sample_run_numbers=[sample_run_number], - ob_run_numbers=[ob_run_number], - output_folder=output_folder, - nexus_path=retrieve_root_nexus_full_path(sample_run_number), - verbose=False) + normalization_with_list_of_runs( + sample_run_numbers=[sample_run_number], + ob_run_numbers=[ob_run_number], + output_folder=output_folder, + nexus_path=retrieve_root_nexus_full_path(sample_run_number), + verbose=False, + ) # normalization(sample_folder=sample_folder, ob_folder=ob_folder, output_folder=output_folder) @@ -907,7 +955,7 @@ def combine_ob_images(ob_master_dict: dict, # ob = /SNS/VENUS/IPTS-34808/shared/autoreduce/mcp/November17_OB_for_UA_H_Batteries_1_5_Angs_min_30Hz_5C # full command to use to test code - + # source /opt/anaconda/etc/profile.d/conda.sh # conda activate ImagingReduction - # > python normalization_for_timepix.py --sample /SNS/VENUS/IPTS-34808/shared/autoreduce/mcp/November17_Sample6_UA_H_Batteries_1_5_Angs_min_30Hz_5C --ob /SNS/VENUS/IPTS-34808/shared/autoreduce/mcp/November17_OB_for_UA_H_Batteries_1_5_Angs_min_30Hz_5C --output /SNS/VENUS/IPTS-34808/shared/processed_data/jean_test \ No newline at end of file + # > python normalization_for_timepix.py --sample /SNS/VENUS/IPTS-34808/shared/autoreduce/mcp/November17_Sample6_UA_H_Batteries_1_5_Angs_min_30Hz_5C --ob /SNS/VENUS/IPTS-34808/shared/autoreduce/mcp/November17_OB_for_UA_H_Batteries_1_5_Angs_min_30Hz_5C --output /SNS/VENUS/IPTS-34808/shared/processed_data/jean_test diff --git a/notebooks/__code/normalization_tof/normalization_for_timepix1_timepix3.py b/notebooks/__code/normalization_tof/normalization_for_timepix1_timepix3.py index 48550f4c..115af92d 100644 --- a/notebooks/__code/normalization_tof/normalization_for_timepix1_timepix3.py +++ b/notebooks/__code/normalization_tof/normalization_for_timepix1_timepix3.py @@ -1,26 +1,30 @@ import argparse +import glob import logging +import multiprocessing as mp import os +import shutil from pathlib import Path + import h5py -import glob -import numpy as np -from skimage.io import imread +import matplotlib.pyplot as plt import numpy as np -import multiprocessing as mp -from PIL import Image -import shutil -from IPython.display import display -from IPython.display import HTML import pandas as pd -import matplotlib.pyplot as plt +from IPython.display import HTML, display +from PIL import Image +from skimage.io import imread + # from enum import Enum # from scipy.constants import h, c, electron_volt, m_n - from timepix_geometry_correction.correct import TimepixGeometryCorrection -from __code.normalization_tof.units import convert_array_from_time_to_lambda, convert_array_from_time_to_energy -from __code.normalization_tof.units import TimeUnitOptions, DistanceUnitOptions, EnergyUnitOptions +from __code.normalization_tof.units import ( + DistanceUnitOptions, + EnergyUnitOptions, + TimeUnitOptions, + convert_array_from_time_to_energy, + convert_array_from_time_to_lambda, +) LOG_PATH = "/SNS/VENUS/shared/log/" LOAD_DTYPE = np.uint16 @@ -28,7 +32,7 @@ PROTON_CHARGE_TOLERANCE = 0.1 file_name, ext = os.path.splitext(os.path.basename(__file__)) -user_name = os.getlogin() # add user name to the log file name +user_name = os.getlogin() # add user name to the log file name log_file_name = os.path.join(LOG_PATH, f"{user_name}_{file_name}.log") # logging.basicConfig(filename=log_file_name, # filemode='w', @@ -38,7 +42,7 @@ class PLOT_SIZE: - width = 8 + width = 8 height = 5 @@ -60,7 +64,7 @@ class MasterDictKeys: list_spectra = "list_spectra" spectra_file_name = "spectra_file_name" detector_delay_us = "detector_delay_us" - + class StatusMetadata: all_shutter_counts_found = True @@ -69,7 +73,7 @@ class StatusMetadata: def _worker(fl): - return (imread(fl).astype(LOAD_DTYPE)).swapaxes(0,1) + return (imread(fl).astype(LOAD_DTYPE)).swapaxes(0, 1) def load_data_using_multithreading(list_tif: list = None, combine_tof: bool = False) -> np.ndarray: @@ -90,9 +94,9 @@ def retrieve_list_of_tif(folder: str) -> list: return list_tif -def create_x_axis_file(lambda_array: np.ndarray = None, - energy_array: np.ndarray = None, - output_folder: str = "./") -> str: +def create_x_axis_file( + lambda_array: np.ndarray = None, energy_array: np.ndarray = None, output_folder: str = "./" +) -> str: """create x axis file with lambda, energy and tof arrays""" x_axis_data = { "file_index": np.arange(len(lambda_array)), @@ -108,43 +112,44 @@ def create_x_axis_file(lambda_array: np.ndarray = None, def correct_chips_alignment(data: np.ndarray, config: dict) -> np.ndarray: """ - correct the chips position (fill the gaps between the chips) using the dedicated library + correct the chips position (fill the gaps between the chips) using the dedicated library timepix_geometry_correction (https://github.com/ornlneutronimaging/timepix_geometry_correction) - + Args: data (np.ndarray): input data array config (dict): configuration dictionary for chips alignment Returns: np.ndarray: corrected data array - """ + """ logging.info("Correcting chips alignment ...") for _index, _data in enumerate(data): - o_corrector = TimepixGeometryCorrection(raw_image=_data, - config=config) + o_corrector = TimepixGeometryCorrection(raw_image=_data, config=config) data_corrected = o_corrector.correct() data[_index] = data_corrected logging.info(f"\t{np.shape(data_corrected) = }") - logging.info(f"Chips alignment corrected!") + logging.info("Chips alignment corrected!") return data_corrected -def normalization_with_list_of_full_path(sample_dict: dict = None, - ob_dict: dict = None, - output_folder: str ="./", - verbose: bool = False, - proton_charge_flag=True, - shutter_counts_flag=True, - replace_ob_zeros_by_nan_flag=False, - output_tif: bool = True, - instrument: str = "VENUS", - detector_delay_us: float = None, - preview: bool = False, - distance_source_detector_m: float = 25, - correct_chips_alignment_flag: bool = True, - correct_chips_alignment_config: dict = None, - export_mode: dict = None) -> None | np.ndarray: +def normalization_with_list_of_full_path( + sample_dict: dict = None, + ob_dict: dict = None, + output_folder: str = "./", + verbose: bool = False, + proton_charge_flag=True, + shutter_counts_flag=True, + replace_ob_zeros_by_nan_flag=False, + output_tif: bool = True, + instrument: str = "VENUS", + detector_delay_us: float = None, + preview: bool = False, + distance_source_detector_m: float = 25, + correct_chips_alignment_flag: bool = True, + correct_chips_alignment_config: dict = None, + export_mode: dict = None, +) -> None | np.ndarray: """normalize the sample data with ob data using proton charge and shutter counts Args: sample_dict (dict): dictionary with sample run numbers and their data @@ -154,7 +159,7 @@ def normalization_with_list_of_full_path(sample_dict: dict = None, ob_dict (dict): dictionary with ob run numbers and their data {base_name_run1: {'full_path': full_path, 'nexus': nexus_path}, base_name_run2: {'full_path': full_path, 'nexus': nexus_path}, ...} - + output_folder (str): folder to save the output data verbose (bool): if True, display additional information proton_charge_flag (bool): if True, normalize by proton charge @@ -198,20 +203,21 @@ def normalization_with_list_of_full_path(sample_dict: dict = None, logging.info(f"{export_corrected_integrated_normalized_data = }") logging.info(f"{export_x_axis = }") - sample_master_dict, sample_status_metadata = create_master_dict(data_dictionary=sample_dict, - data_type=DataType.sample, - instrument=instrument) - ob_master_dict, ob_status_metadata = create_master_dict(data_dictionary=ob_dict, - data_type=DataType.ob, - instrument=instrument) - + sample_master_dict, sample_status_metadata = create_master_dict( + data_dictionary=sample_dict, data_type=DataType.sample, instrument=instrument + ) + ob_master_dict, ob_status_metadata = create_master_dict( + data_dictionary=ob_dict, data_type=DataType.ob, instrument=instrument + ) # load ob images for _ob_run_number in ob_master_dict.keys(): logging.info(f"loading ob# {_ob_run_number} ... ") if verbose: display(HTML(f"Loading ob# {_ob_run_number} ...")) - ob_master_dict[_ob_run_number][MasterDictKeys.data] = load_data_using_multithreading(ob_master_dict[_ob_run_number][MasterDictKeys.list_tif], combine_tof=False) + ob_master_dict[_ob_run_number][MasterDictKeys.data] = load_data_using_multithreading( + ob_master_dict[_ob_run_number][MasterDictKeys.list_tif], combine_tof=False + ) logging.info(f"ob# {_ob_run_number} loaded!") logging.info(f"{ob_master_dict[_ob_run_number][MasterDictKeys.data].shape = }") if verbose: @@ -219,21 +225,26 @@ def normalization_with_list_of_full_path(sample_dict: dict = None, display(HTML(f"{ob_master_dict[_ob_run_number][MasterDictKeys.data].shape = }")) if proton_charge_flag: - normalized_by_proton_charge = (sample_status_metadata.all_proton_charge_found and ob_status_metadata.all_proton_charge_found) + normalized_by_proton_charge = ( + sample_status_metadata.all_proton_charge_found and ob_status_metadata.all_proton_charge_found + ) else: normalized_by_proton_charge = False - + if shutter_counts_flag: - normalized_by_shutter_counts = (sample_status_metadata.all_shutter_counts_found and ob_status_metadata.all_shutter_counts_found) + normalized_by_shutter_counts = ( + sample_status_metadata.all_shutter_counts_found and ob_status_metadata.all_shutter_counts_found + ) else: normalized_by_shutter_counts = False # combine all ob images - ob_data_combined = combine_ob_images(ob_master_dict, - use_proton_charge=normalized_by_proton_charge, - use_shutter_counts=normalized_by_shutter_counts, - replace_ob_zeros_by_nan=replace_ob_zeros_by_nan_flag, - ) + ob_data_combined = combine_ob_images( + ob_master_dict, + use_proton_charge=normalized_by_proton_charge, + use_shutter_counts=normalized_by_shutter_counts, + replace_ob_zeros_by_nan=replace_ob_zeros_by_nan_flag, + ) logging.info(f"{ob_data_combined.shape = }") if verbose: display(HTML(f"{ob_data_combined.shape = }")) @@ -243,25 +254,29 @@ def normalization_with_list_of_full_path(sample_dict: dict = None, if verbose: display(HTML("Correcting chips alignment ...")) ob_data_combined = correct_chips_alignment(ob_data_combined, correct_chips_alignment_config) - logging.info(f"Chips alignment corrected!") + logging.info("Chips alignment corrected!") if verbose: - display(HTML(f"Chips alignment corrected!")) + display(HTML("Chips alignment corrected!")) # export ob data if requested - if export_corrected_stack_of_ob_data or export_corrected_integrated_ob_data: - export_ob_images(ob_master_dict.keys(), - output_folder, - export_corrected_stack_of_ob_data, - export_corrected_integrated_ob_data, - ob_data_combined, - spectra_file_name=ob_master_dict[_ob_run_number][MasterDictKeys.spectra_file_name]) + if export_corrected_stack_of_ob_data or export_corrected_integrated_ob_data: + export_ob_images( + ob_master_dict.keys(), + output_folder, + export_corrected_stack_of_ob_data, + export_corrected_integrated_ob_data, + ob_data_combined, + spectra_file_name=ob_master_dict[_ob_run_number][MasterDictKeys.spectra_file_name], + ) # load sample images for _sample_run_number in sample_master_dict.keys(): logging.info(f"loading sample# {_sample_run_number} ... ") if verbose: display(HTML(f"Loading sample# {_sample_run_number} ...")) - sample_master_dict[_sample_run_number][MasterDictKeys.data] = load_data_using_multithreading(sample_master_dict[_sample_run_number][MasterDictKeys.list_tif], combine_tof=False) + sample_master_dict[_sample_run_number][MasterDictKeys.data] = load_data_using_multithreading( + sample_master_dict[_sample_run_number][MasterDictKeys.list_tif], combine_tof=False + ) logging.info(f"sample# {_sample_run_number} loaded!") logging.info(f"{sample_master_dict[_sample_run_number][MasterDictKeys.data].shape = }") if verbose: @@ -273,10 +288,12 @@ def normalization_with_list_of_full_path(sample_dict: dict = None, if verbose: display(HTML("Correcting chips alignment ...")) for _sample_run_number in sample_master_dict.keys(): - sample_master_dict[_sample_run_number][MasterDictKeys.data] = correct_chips_alignment(sample_master_dict[_sample_run_number][MasterDictKeys.data], correct_chips_alignment_config) - logging.info(f"Chips alignment corrected!") + sample_master_dict[_sample_run_number][MasterDictKeys.data] = correct_chips_alignment( + sample_master_dict[_sample_run_number][MasterDictKeys.data], correct_chips_alignment_config + ) + logging.info("Chips alignment corrected!") if verbose: - display(HTML(f"Chips alignment corrected!")) + display(HTML("Chips alignment corrected!")) normalized_data = {} @@ -291,27 +308,30 @@ def normalization_with_list_of_full_path(sample_dict: dict = None, # get statistics of sample data data_shape = _sample_data.shape nbr_pixels = data_shape[1] * data_shape[2] - logging.info(f" **** Statistics of sample data *****") + logging.info(" **** Statistics of sample data *****") number_of_zeros = np.sum(_sample_data == 0) logging.info(f"\t sample data shape: {data_shape}") logging.info(f"\t Number of zeros in sample data: {number_of_zeros}") - logging.info(f"\t Percentage of zeros in sample data: {number_of_zeros / (data_shape[0] * nbr_pixels) * 100:.2f}%") + logging.info( + f"\t Percentage of zeros in sample data: {number_of_zeros / (data_shape[0] * nbr_pixels) * 100:.2f}%" + ) logging.info(f"\t Mean of sample data: {np.mean(_sample_data)}") logging.info(f"\t maximum of sample data: {np.max(_sample_data)}") logging.info(f"\t minimum of sample data: {np.min(_sample_data)}") - logging.info(f"**********************************") + logging.info("**********************************") if normalized_by_proton_charge: proton_charge = sample_master_dict[_sample_run_number][MasterDictKeys.proton_charge] _sample_data = _sample_data / proton_charge if normalized_by_shutter_counts: - list_shutter_values_for_each_image = produce_list_shutter_for_each_image(list_time_spectra=ob_master_dict[_ob_run_number][MasterDictKeys.list_spectra], - list_shutter_counts=sample_master_dict[_sample_run_number][MasterDictKeys.shutter_counts], - ) - + list_shutter_values_for_each_image = produce_list_shutter_for_each_image( + list_time_spectra=ob_master_dict[_ob_run_number][MasterDictKeys.list_spectra], + list_shutter_counts=sample_master_dict[_sample_run_number][MasterDictKeys.shutter_counts], + ) + sample_data = [] - for _sample, _shutter_value in zip(_sample_data, list_shutter_values_for_each_image): + for _sample, _shutter_value in zip(_sample_data, list_shutter_values_for_each_image, strict=False): sample_data.append(_sample / _shutter_value) _sample_data = np.array(sample_data) @@ -322,12 +342,14 @@ def normalization_with_list_of_full_path(sample_dict: dict = None, # export sample data after correction if requested if export_corrected_stack_of_sample_data or export_corrected_integrated_sample_data: - export_sample_images(output_folder, - export_corrected_stack_of_sample_data, - export_corrected_integrated_sample_data, - _sample_run_number, - _sample_data, - spectra_file_name=sample_master_dict[_sample_run_number][MasterDictKeys.spectra_file_name]) + export_sample_images( + output_folder, + export_corrected_stack_of_sample_data, + export_corrected_integrated_sample_data, + _sample_run_number, + _sample_data, + spectra_file_name=sample_master_dict[_sample_run_number][MasterDictKeys.spectra_file_name], + ) # _sample_data = np.divide(_sample_data, ob_data_combined, out=np.zeros_like(_sample_data), where=ob_data_combined!=0) # _sample_data = np.divide(_sample_data, ob_data_combined, out=np.zeros_like(_sample_data)) @@ -344,7 +366,7 @@ def normalization_with_list_of_full_path(sample_dict: dict = None, # normalized_data[_sample_run_number] = np.array(np.divide(_sample_data, ob_data_combined)) logging.info(f"{normalized_data[_sample_run_number].shape = }") - logging.info(f"{normalized_data[_sample_run_number].dtype = }") + logging.info(f"{normalized_data[_sample_run_number].dtype = }") detector_delay_us = sample_master_dict[_sample_run_number][MasterDictKeys.detector_delay_us] time_spectra = sample_master_dict[_sample_run_number][MasterDictKeys.list_spectra] @@ -353,36 +375,38 @@ def normalization_with_list_of_full_path(sample_dict: dict = None, lambda_array = None energy_array = None else: - logging.info(f"time spectra shape: {time_spectra.shape}") - lambda_array = convert_array_from_time_to_lambda(time_array=time_spectra, - time_unit=TimeUnitOptions.s, - distance_source_detector=distance_source_detector_m, - distance_source_detector_unit=DistanceUnitOptions.m, - detector_offset=detector_delay_us, - detector_offset_unit=TimeUnitOptions.us, - lambda_unit=DistanceUnitOptions.angstrom) + lambda_array = convert_array_from_time_to_lambda( + time_array=time_spectra, + time_unit=TimeUnitOptions.s, + distance_source_detector=distance_source_detector_m, + distance_source_detector_unit=DistanceUnitOptions.m, + detector_offset=detector_delay_us, + detector_offset_unit=TimeUnitOptions.us, + lambda_unit=DistanceUnitOptions.angstrom, + ) logging.info(f"Lambda array shape: {lambda_array.shape}") - energy_array = convert_array_from_time_to_energy(time_array=time_spectra, - time_unit=TimeUnitOptions.s, - distance_source_detector=distance_source_detector_m, - distance_source_detector_unit=DistanceUnitOptions.m, - detector_offset=detector_delay_us, - detector_offset_unit=TimeUnitOptions.us, - energy_unit=EnergyUnitOptions.eV) + energy_array = convert_array_from_time_to_energy( + time_array=time_spectra, + time_unit=TimeUnitOptions.s, + distance_source_detector=distance_source_detector_m, + distance_source_detector_unit=DistanceUnitOptions.m, + detector_offset=detector_delay_us, + detector_offset_unit=TimeUnitOptions.us, + energy_unit=EnergyUnitOptions.eV, + ) logging.info(f"Energy array shape: {energy_array.shape}") if preview: - # display preview of normalized data - fig, axs1 = plt.subplots(1, 2, figsize=(2*PLOT_SIZE.width, PLOT_SIZE.height)) + fig, axs1 = plt.subplots(1, 2, figsize=(2 * PLOT_SIZE.width, PLOT_SIZE.height)) sample_data_integrated = np.nanmean(_sample_data, axis=0) - im0 = axs1[0].imshow(sample_data_integrated, cmap='gray') + im0 = axs1[0].imshow(sample_data_integrated, cmap="gray") plt.colorbar(im0, ax=axs1[0]) axs1[0].set_title(f"Sample data: {_sample_run_number} | detector delay: {detector_delay_us:.2f} us") - + sample_integrated1 = np.nansum(_sample_data, axis=1) sample_integrated = np.nansum(sample_integrated1, axis=1) axs1[1].plot(sample_integrated) @@ -390,11 +414,11 @@ def normalization_with_list_of_full_path(sample_dict: dict = None, axs1[1].set_ylabel("mean of full image") plt.tight_layout - fig, axs2 = plt.subplots(1, 2, figsize=(2*PLOT_SIZE.width, PLOT_SIZE.height)) + fig, axs2 = plt.subplots(1, 2, figsize=(2 * PLOT_SIZE.width, PLOT_SIZE.height)) ob_data_integrated = np.nanmean(ob_data_combined, axis=0) - im1 = axs2[0].imshow(ob_data_integrated, cmap='gray') + im1 = axs2[0].imshow(ob_data_integrated, cmap="gray") plt.colorbar(im1, ax=axs2[0]) - axs2[0].set_title(f"OB combinded data ") + axs2[0].set_title("OB combinded data ") ob_integrated1 = np.nansum(ob_data_combined, axis=1) ob_integrated = np.nansum(ob_integrated1, axis=1) @@ -403,9 +427,9 @@ def normalization_with_list_of_full_path(sample_dict: dict = None, axs2[1].set_ylabel("mean of full image") plt.tight_layout() - fig, axs3 = plt.subplots(1, 2, figsize=(2*PLOT_SIZE.width, PLOT_SIZE.height)) + fig, axs3 = plt.subplots(1, 2, figsize=(2 * PLOT_SIZE.width, PLOT_SIZE.height)) normalized_data_integrated = np.nanmean(normalized_data[_sample_run_number], axis=0) - im2 = axs3[0].imshow(normalized_data_integrated, cmap='gray') + im2 = axs3[0].imshow(normalized_data_integrated, cmap="gray") plt.colorbar(im2, ax=axs3[0]) axs3[0].set_title(f"Normalized data {_sample_run_number}") @@ -413,21 +437,21 @@ def normalization_with_list_of_full_path(sample_dict: dict = None, profile = np.nanmean(profile_step1, axis=1) axs3[1].plot(profile) axs3[1].set_xlabel("File image index") - axs3[1].set_ylabel("mean of full image") + axs3[1].set_ylabel("mean of full image") plt.tight_layout() if lambda_array is not None: - fig, axs4 = plt.subplots(1, 2, figsize=(2*PLOT_SIZE.width, PLOT_SIZE.height)) + fig, axs4 = plt.subplots(1, 2, figsize=(2 * PLOT_SIZE.width, PLOT_SIZE.height)) logging.info(f"{np.shape(profile) = }") - axs4[0].plot(lambda_array, profile, '*') + axs4[0].plot(lambda_array, profile, "*") axs4[0].set_xlabel("Lambda (A)") axs4[0].set_ylabel("mean of full image") - - axs4[1].plot(energy_array, profile, '*') + + axs4[1].plot(energy_array, profile, "*") axs4[1].set_xlabel("Energy (eV)") axs4[1].set_ylabel("mean of full image") - axs4[1].set_xscale('log') + axs4[1].set_xscale("log") plt.tight_layout() plt.show() @@ -437,7 +461,9 @@ def normalization_with_list_of_full_path(sample_dict: dict = None, list_ob_runs = list(ob_master_dict.keys()) str_ob_runs = "_".join([str(_ob_run_number) for _ob_run_number in list_ob_runs]) - full_output_folder = os.path.join(output_folder, f"normalized_sample_{_sample_run_number}_obs_{str_ob_runs}") # issue for WEI here ! + full_output_folder = os.path.join( + output_folder, f"normalized_sample_{_sample_run_number}_obs_{str_ob_runs}" + ) # issue for WEI here ! full_output_folder = os.path.abspath(full_output_folder) os.makedirs(full_output_folder, exist_ok=True) @@ -466,32 +492,35 @@ def normalization_with_list_of_full_path(sample_dict: dict = None, shutil.copy(spectra_file, output_stack_folder) # create x-axis file - create_x_axis_file(lambda_array=lambda_array, - energy_array=energy_array, - output_folder=output_stack_folder, - ) + create_x_axis_file( + lambda_array=lambda_array, + energy_array=energy_array, + output_folder=output_stack_folder, + ) - logging.info(f"Normalization and export is done!") + logging.info("Normalization and export is done!") if verbose: - display(HTML(f"Normalization and export is done!")) + display(HTML("Normalization and export is done!")) def get_detector_offset_from_nexus(nexus_path: str) -> float: """get the detector offset from the nexus file""" - with h5py.File(nexus_path, 'r') as hdf5_data: + with h5py.File(nexus_path, "r") as hdf5_data: try: - detector_offset_micros = hdf5_data['entry']['DASlogs']['BL10:Det:TH:DSPT1:TIDelay']['value'][0] + detector_offset_micros = hdf5_data["entry"]["DASlogs"]["BL10:Det:TH:DSPT1:TIDelay"]["value"][0] except KeyError: detector_offset_micros = None return detector_offset_micros -def export_sample_images(output_folder, - export_corrected_stack_of_sample_data, - export_corrected_integrated_sample_data, - _sample_run_number, - _sample_data, - spectra_file_name=None): +def export_sample_images( + output_folder, + export_corrected_stack_of_sample_data, + export_corrected_integrated_sample_data, + _sample_run_number, + _sample_data, + spectra_file_name=None, +): logging.info(f"> Exporting sample corrected images to {output_folder} ...") sample_output_folder = os.path.join(output_folder, f"sample_{_sample_run_number}") @@ -510,7 +539,7 @@ def export_sample_images(output_folder, logging.info(f"\t -> Exporting spectra file {spectra_file_name} to {output_stack_folder} is done!") if export_corrected_integrated_sample_data: - # making up the integrated sample data + # making up the integrated sample data sample_data_integrated = np.nanmean(_sample_data, axis=0) full_file_name = os.path.join(sample_output_folder, "integrated.tif") logging.info(f"\t -> Exporting integrated sample data to {full_file_name} ...") @@ -519,16 +548,21 @@ def export_sample_images(output_folder, display(HTML(f"Created folder {output_stack_folder} for sample outputs!")) -def export_ob_images(ob_run_numbers, - output_folder, - export_corrected_stack_of_ob_data, - export_corrected_integrated_ob_data, - ob_data_combined, - spectra_file_name): + +def export_ob_images( + ob_run_numbers, + output_folder, + export_corrected_stack_of_ob_data, + export_corrected_integrated_ob_data, + ob_data_combined, + spectra_file_name, +): """export ob images to the output folder""" logging.info(f"> Exporting combined ob images to {output_folder} ...") logging.info(f"\t{ob_run_numbers = }") - list_ob_runs_number_only = [str(isolate_run_number_from_full_path(_ob_run_number)) for _ob_run_number in ob_run_numbers] + list_ob_runs_number_only = [ + str(isolate_run_number_from_full_path(_ob_run_number)) for _ob_run_number in ob_run_numbers + ] if len(list_ob_runs_number_only) == 1: ob_output_folder = os.path.join(output_folder, f"ob_{list_ob_runs_number_only[0]}") else: @@ -543,7 +577,7 @@ def export_ob_images(ob_run_numbers, os.makedirs(output_stack_folder, exist_ok=True) if export_corrected_integrated_ob_data: - # making up the integrated ob data + # making up the integrated ob data ob_data_integrated = np.nanmean(ob_data_combined, axis=0) full_file_name = os.path.join(ob_output_folder, "integrated.tif") logging.info(f"\t -> Exporting integrated ob data to {full_file_name} ...") @@ -569,7 +603,7 @@ def normalization(sample_folder=None, ob_folder=None, output_folder="./", verbos def make_tiff(data: list, filename: str = "", metadata: dict = None) -> None: - new_image = Image.fromarray(np.array(data), mode='F') + new_image = Image.fromarray(np.array(data), mode="F") if metadata: new_image.save(filename, tiffinfo=metadata) else: @@ -592,16 +626,18 @@ def init_master_dict(data_dictionary: dict) -> dict: master_dict = {} for _base_name in data_dictionary.keys(): - master_dict[_base_name] = {MasterDictKeys.nexus_path: data_dictionary[_base_name]['nexus'], - MasterDictKeys.frame_number: None, - MasterDictKeys.data_path: data_dictionary[_base_name]['full_path'], - MasterDictKeys.proton_charge: None, - MasterDictKeys.matching_ob: [] , - MasterDictKeys.list_tif: [], - MasterDictKeys.list_spectra: None, - MasterDictKeys.spectra_file_name: None, - MasterDictKeys.detector_delay_us: None, - MasterDictKeys.data: None} + master_dict[_base_name] = { + MasterDictKeys.nexus_path: data_dictionary[_base_name]["nexus"], + MasterDictKeys.frame_number: None, + MasterDictKeys.data_path: data_dictionary[_base_name]["full_path"], + MasterDictKeys.proton_charge: None, + MasterDictKeys.matching_ob: [], + MasterDictKeys.list_tif: [], + MasterDictKeys.list_spectra: None, + MasterDictKeys.spectra_file_name: None, + MasterDictKeys.detector_delay_us: None, + MasterDictKeys.data: None, + } return master_dict @@ -633,7 +669,7 @@ def update_dict_with_shutter_counts(master_dict: dict) -> tuple[dict, bool]: continue else: shutter_count_file = _list_files[0] - with open(shutter_count_file, 'r') as f: + with open(shutter_count_file) as f: lines = f.readlines() list_shutter_counts = [] for _line in lines: @@ -641,7 +677,7 @@ def update_dict_with_shutter_counts(master_dict: dict) -> tuple[dict, bool]: if _value == "0": break list_shutter_counts.append(float(_value)) - master_dict[run_number][MasterDictKeys.shutter_counts] = list_shutter_counts + master_dict[run_number][MasterDictKeys.shutter_counts] = list_shutter_counts return master_dict, status_all_shutter_counts_found @@ -671,14 +707,14 @@ def update_dict_with_proton_charge(master_dict: dict) -> tuple[dict, bool]: for _run_number in master_dict.keys(): _nexus_path = master_dict[_run_number][MasterDictKeys.nexus_path] try: - with h5py.File(_nexus_path, 'r') as hdf5_data: - proton_charge = hdf5_data['entry'][MasterDictKeys.proton_charge][0] / 1e12 + with h5py.File(_nexus_path, "r") as hdf5_data: + proton_charge = hdf5_data["entry"][MasterDictKeys.proton_charge][0] / 1e12 except KeyError: proton_charge = None status_all_proton_charge_found = False - master_dict[_run_number][MasterDictKeys.proton_charge] = proton_charge + master_dict[_run_number][MasterDictKeys.proton_charge] = proton_charge return status_all_proton_charge_found - + def update_dict_with_list_of_images(master_dict: dict) -> dict: """update the master dict with list of images""" @@ -698,7 +734,9 @@ def get_list_run_number(data_folder: str) -> list: def update_dict_with_nexus_full_path(nexus_root_path: str, instrument: str, master_dict: dict) -> dict: """create dict of nexus path for each run number""" for run_number in master_dict.keys(): - master_dict[run_number][MasterDictKeys.nexus_path] = os.path.join(nexus_root_path, f"{instrument}_{run_number}.nxs.h5") + master_dict[run_number][MasterDictKeys.nexus_path] = os.path.join( + nexus_root_path, f"{instrument}_{run_number}.nxs.h5" + ) def update_with_nexus_metadata(master_dict: dict) -> dict: @@ -714,12 +752,12 @@ def update_dict_with_data_full_path(data_root_path: str, master_dict: dict) -> d master_dict[run_number][MasterDictKeys.data_path] = os.path.join(data_root_path, f"Run_{run_number}") -def create_master_dict(data_dictionary: dict = None, - data_type: DataType = DataType.sample, - data_root_path: str = None, - instrument: str = "VENUS", - ) -> tuple[dict, StatusMetadata]: - +def create_master_dict( + data_dictionary: dict = None, + data_type: DataType = DataType.sample, + data_root_path: str = None, + instrument: str = "VENUS", +) -> tuple[dict, StatusMetadata]: logging.info(f"Create {data_type} master dict of : {data_dictionary.keys()}") status_metadata = StatusMetadata() @@ -727,35 +765,35 @@ def create_master_dict(data_dictionary: dict = None, # retrieve metadata for each run number master_dict = init_master_dict(data_dictionary) - logging.info(f"updating with nexus metadata") + logging.info("updating with nexus metadata") update_with_nexus_metadata(master_dict) - logging.info(f"updating with shutter counts!") + logging.info("updating with shutter counts!") master_dict, all_shutter_counts_found = update_dict_with_shutter_counts(master_dict) if not all_shutter_counts_found: status_metadata.all_shutter_counts_found = False logging.info(f"{master_dict = }") if all_shutter_counts_found: - logging.info(f"updating with spectra values!") + logging.info("updating with spectra values!") master_dict, all_spectra_found = update_dict_with_spectra_files(master_dict) if not all_spectra_found: status_metadata.all_spectra_found = False logging.info(f"{master_dict = }") - logging.info(f"updating with proton charge!") + logging.info("updating with proton charge!") all_proton_charge_found = update_dict_with_proton_charge(master_dict) if not all_proton_charge_found: status_metadata.all_proton_charge_found = False logging.info(f"{master_dict = }") - logging.info(f"updating with list of images!") + logging.info("updating with list of images!") update_dict_with_list_of_images(master_dict) return master_dict, status_metadata -def produce_list_shutter_for_each_image(list_time_spectra:list = None, list_shutter_counts:list = None) -> list: +def produce_list_shutter_for_each_image(list_time_spectra: list = None, list_shutter_counts: list = None) -> list: """produce list of shutter counts for each image""" delat_time_spectra = list_time_spectra[1] - list_time_spectra[0] @@ -770,26 +808,26 @@ def produce_list_shutter_for_each_image(list_time_spectra:list = None, list_shut list_shutter_values_for_each_image.fill(list_shutter_counts[0]) return list_shutter_values_for_each_image - list_shutter_values_for_each_image[0: list_index_jump[0]+1].fill(list_shutter_counts[0]) + list_shutter_values_for_each_image[0 : list_index_jump[0] + 1].fill(list_shutter_counts[0]) for _index in range(1, len(list_index_jump)): _start = list_index_jump[_index - 1] _end = list_index_jump[_index] - list_shutter_values_for_each_image[_start+1: _end+1].fill(list_shutter_counts[_index]) + list_shutter_values_for_each_image[_start + 1 : _end + 1].fill(list_shutter_counts[_index]) - list_shutter_values_for_each_image[list_index_jump[-1]+1:] = list_shutter_counts[-1] + list_shutter_values_for_each_image[list_index_jump[-1] + 1 :] = list_shutter_counts[-1] return list_shutter_values_for_each_image -def combine_ob_images(ob_master_dict: dict, - use_proton_charge: bool = False, - use_shutter_counts: bool = False, - replace_ob_zeros_by_nan: bool = False, - ) -> np.ndarray: - +def combine_ob_images( + ob_master_dict: dict, + use_proton_charge: bool = False, + use_shutter_counts: bool = False, + replace_ob_zeros_by_nan: bool = False, +) -> np.ndarray: """combine all ob images and correct by proton charge and shutter counts""" - logging.info(f"Combining all open beam images") + logging.info("Combining all open beam images") logging.info(f"\tcorrecting by proton charge: {use_proton_charge}") logging.info(f"\tshutter counts: {use_shutter_counts}") logging.info(f"\treplace ob zeros by nan: {replace_ob_zeros_by_nan}") @@ -802,7 +840,7 @@ def combine_ob_images(ob_master_dict: dict, # get statistics of ob data data_shape = ob_data.shape nbr_pixels = data_shape[1] * data_shape[2] - logging.info(f" **** Statistics of ob data *****") + logging.info(" **** Statistics of ob data *****") number_of_zeros = np.sum(ob_data == 0) logging.info(f"\t ob data shape: {data_shape}") logging.info(f"\t Number of zeros in ob data: {number_of_zeros}") @@ -810,21 +848,22 @@ def combine_ob_images(ob_master_dict: dict, logging.info(f"\t Mean of ob data: {np.mean(ob_data)}") logging.info(f"\t maximum of ob data: {np.max(ob_data)}") logging.info(f"\t minimum of ob data: {np.min(ob_data)}") - logging.info(f"**********************************") + logging.info("**********************************") if use_proton_charge: - logging.info(f"\t -> Normalized by proton charge") + logging.info("\t -> Normalized by proton charge") proton_charge = ob_master_dict[_ob_run_number][MasterDictKeys.proton_charge] ob_data = ob_data / proton_charge logging.info(f"{ob_data.shape = }") if use_shutter_counts: - logging.info(f"\t -> Normalized by shutter counts") + logging.info("\t -> Normalized by shutter counts") + + list_shutter_values_for_each_image = produce_list_shutter_for_each_image( + list_time_spectra=ob_master_dict[_ob_run_number][MasterDictKeys.list_spectra], + list_shutter_counts=ob_master_dict[_ob_run_number][MasterDictKeys.shutter_counts], + ) - list_shutter_values_for_each_image = produce_list_shutter_for_each_image(list_time_spectra=ob_master_dict[_ob_run_number][MasterDictKeys.list_spectra], - list_shutter_counts=ob_master_dict[_ob_run_number][MasterDictKeys.shutter_counts], - ) - logging.info(f"{list_shutter_values_for_each_image.shape = }") temp_ob_data = np.empty_like(ob_data, dtype=np.float32) for _index in range(len(list_shutter_values_for_each_image)): @@ -851,12 +890,12 @@ def combine_ob_images(ob_master_dict: dict, # _t = where_ob_zeros[0][_index] # _y = where_ob_zeros[1][_index] # _x = where_ob_zeros[2][_index] - # ob_data[_t, _y, _x] = np.nanmedian(ob_data[_t, _y-1:_y+2, _x-1:_x+2]) + # ob_data[_t, _y, _x] = np.nanmedian(ob_data[_t, _y-1:_y+2, _x-1:_x+2]) full_ob_data_corrected.append(ob_data) logging.info(f"{np.shape(full_ob_data_corrected) = }") - logging.info(f"Combining all ob images is done!") + logging.info("Combining all ob images is done!") logging.info(f"\tbefore: {len(full_ob_data_corrected) = }") ob_data_combined = np.array(full_ob_data_corrected).mean(axis=0) logging.info(f"\tafter: {ob_data_combined.shape = }") @@ -868,17 +907,18 @@ def combine_ob_images(ob_master_dict: dict, return ob_data_combined -if __name__ == '__main__': - +if __name__ == "__main__": # sample_master_dict = {'run_number': {'nexus_path': 'path', 'frame_number': 'value', 'proton_charge': 'value', 'matching_ob': []}} - parser = argparse.ArgumentParser(description="Normalized Timepix data with shutter counts and proton charge", - formatter_class=argparse.ArgumentDefaultsHelpFormatter) - + parser = argparse.ArgumentParser( + description="Normalized Timepix data with shutter counts and proton charge", + formatter_class=argparse.ArgumentDefaultsHelpFormatter, + ) + parser.add_argument("--sample", type=str, nargs=1, help="Full path to sample run number") parser.add_argument("--ob", type=str, nargs=1, help="Full path to the ob run number") parser.add_argument("--output", type=str, nargs=1, help="Path to the output folder", default="./") - + args = parser.parse_args() logging.info(f"{args = }") @@ -894,7 +934,7 @@ def combine_ob_images(ob_master_dict: dict, print("\n *** INPUT ERROR of sample run number! ***\n") print(parser.print_help()) exit() - + try: ob_run_number = args.ob[0] if not os.path.exists(ob_run_number): @@ -910,17 +950,19 @@ def combine_ob_images(ob_master_dict: dict, try: output_folder = args.output[0] - + except TypeError: print("\n *** INPUT ERROR of output folder! ***\n") print(parser.print_help()) exit() - normalization_with_list_of_runs(sample_run_numbers=[sample_run_number], - ob_run_numbers=[ob_run_number], - output_folder=output_folder, - nexus_path=retrieve_root_nexus_full_path(sample_run_number), - verbose=False) + normalization_with_list_of_runs( + sample_run_numbers=[sample_run_number], + ob_run_numbers=[ob_run_number], + output_folder=output_folder, + nexus_path=retrieve_root_nexus_full_path(sample_run_number), + verbose=False, + ) # normalization(sample_folder=sample_folder, ob_folder=ob_folder, output_folder=output_folder) @@ -931,7 +973,7 @@ def combine_ob_images(ob_master_dict: dict, # ob = /SNS/VENUS/IPTS-34808/shared/autoreduce/mcp/November17_OB_for_UA_H_Batteries_1_5_Angs_min_30Hz_5C # full command to use to test code - + # source /opt/anaconda/etc/profile.d/conda.sh # conda activate ImagingReduction - # > python normalization_for_timepix.py --sample /SNS/VENUS/IPTS-34808/shared/autoreduce/mcp/November17_Sample6_UA_H_Batteries_1_5_Angs_min_30Hz_5C --ob /SNS/VENUS/IPTS-34808/shared/autoreduce/mcp/November17_OB_for_UA_H_Batteries_1_5_Angs_min_30Hz_5C --output /SNS/VENUS/IPTS-34808/shared/processed_data/jean_test \ No newline at end of file + # > python normalization_for_timepix.py --sample /SNS/VENUS/IPTS-34808/shared/autoreduce/mcp/November17_Sample6_UA_H_Batteries_1_5_Angs_min_30Hz_5C --ob /SNS/VENUS/IPTS-34808/shared/autoreduce/mcp/November17_OB_for_UA_H_Batteries_1_5_Angs_min_30Hz_5C --output /SNS/VENUS/IPTS-34808/shared/processed_data/jean_test diff --git a/notebooks/__code/normalization_tof/normalization_tof.py b/notebooks/__code/normalization_tof/normalization_tof.py index a0fa2a9d..fee44377 100644 --- a/notebooks/__code/normalization_tof/normalization_tof.py +++ b/notebooks/__code/normalization_tof/normalization_tof.py @@ -1,46 +1,42 @@ -import os -from IPython.display import display -import ipywidgets as widgets -from IPython.display import HTML -import matplotlib.pyplot as plt -import logging as notebook_logging -import numpy as np -import logging import glob +import logging +import logging as notebook_logging +import os from pathlib import Path -import warnings -from ipywidgets import interactive import ipywidgets as widgets -from IPython.display import display, HTML +import matplotlib.pyplot as plt +from IPython.display import HTML, display +from ipywidgets import interactive from __code._utilities.list import extract_list_of_runs_from_string from __code._utilities.nexus import extract_file_path_from_nexus # from __code.ipywe.myfileselector import MyFileSelectorPanel from __code.ipywe.fileselector import FileSelectorPanel as MyFileSelectorPanel -from __code.normalization_tof.normalization_for_timepix1_timepix3 import (normalization, - normalization_with_list_of_full_path, - load_data_using_multithreading, - retrieve_list_of_tif) +from __code.normalization_tof import DetectorType, autoreduce_dir, distance_source_detector_m, raw_dir from __code.normalization_tof.config import DEBUG_DATA, timepix1_config, timepix3_config -from __code.normalization_tof import autoreduce_dir, distance_source_detector_m -from __code.normalization_tof import DetectorType, raw_dir, autoreduce_dir - +from __code.normalization_tof.normalization_for_timepix1_timepix3 import ( + load_data_using_multithreading, + normalization, + normalization_with_list_of_full_path, + retrieve_list_of_tif, +) LOG_PATH = "/SNS/VENUS/shared/log/" file_name, ext = os.path.splitext(os.path.basename(__file__)) -user_name = os.getlogin() # add user name to the log file name +user_name = os.getlogin() # add user name to the log file name log_file_name = os.path.join(LOG_PATH, f"{user_name}_{file_name}.log") -notebook_logging.basicConfig(filename=log_file_name, - filemode='w', - format='[%(levelname)s] - %(asctime)s - %(message)s', - level=notebook_logging.INFO) +notebook_logging.basicConfig( + filename=log_file_name, + filemode="w", + format="[%(levelname)s] - %(asctime)s - %(message)s", + level=notebook_logging.INFO, +) notebook_logging.info(f"*** Starting a new script {file_name} ***") class NormalizationTof: - sample_folder = None sample_run_numbers = None ob_folder = None @@ -52,38 +48,39 @@ class NormalizationTof: dict_ob = {} # {'short_name': 'full_path_data'} - dict_short_name_full_path = {'sample': {}, 'ob': {}} + dict_short_name_full_path = {"sample": {}, "ob": {}} - dict_ob_runs = None + dict_ob_runs = None dict_ob_data = None LOG_PATH = "/SNS/VENUS/shared/log/" file_name, ext = os.path.splitext(os.path.basename(__file__)) - user_name = os.getlogin() # add user name to the log file name + user_name = os.getlogin() # add user name to the log file name log_file_name = os.path.join(LOG_PATH, f"{user_name}_{file_name}.log") print(f"Log file name: {log_file_name}") - notebook_logging.basicConfig(filename=log_file_name, - filemode='w', - format='[%(levelname)s] - %(asctime)s - %(message)s', - level=notebook_logging.INFO) + notebook_logging.basicConfig( + filename=log_file_name, + filemode="w", + format="[%(levelname)s] - %(asctime)s - %(message)s", + level=notebook_logging.INFO, + ) notebook_logging.info(f"*** Starting a new script {file_name} ***") def __init__(self, working_dir=None, debug=False): - if debug: self.working_dir = DEBUG_DATA.working_dir self.output_dir = DEBUG_DATA.output_folder else: self.working_dir = working_dir - self.output_dir = os.path.join(self.working_dir, 'shared') - - self.nexus_folder = os.path.join(self.working_dir, 'nexus') + self.output_dir = os.path.join(self.working_dir, "shared") + + self.nexus_folder = os.path.join(self.working_dir, "nexus") self.debug = debug - _, _facility, _beamline, ipts = self.working_dir.split('/') + _, _facility, _beamline, ipts = self.working_dir.split("/") self.ipts = ipts self.instrument = _beamline.upper() - + # self.autoreduce_dir = autoreduce_dir[_beamline][0] + str(ipts) + autoreduce_dir[_beamline][1] # self.shared_dir = str(Path(shared_dir[self.instrument][0]) / str(ipts) / shared_dir[self.instrument][1]) self.shared_dir = Path("/") / _facility / self.instrument / str(ipts) / "shared" @@ -95,11 +92,11 @@ def __init__(self, working_dir=None, debug=False): logging.info(f"nexus folder: {self.nexus_folder}") logging.info(f"Shared dir: {self.shared_dir}") - display(HTML(f"Select detector type")) + display(HTML("Select detector type")) self.detector_type_widget = widgets.Dropdown( options=[DetectorType.tpx1_legacy, DetectorType.tpx1, DetectorType.tpx3], value=DetectorType.tpx1, - layout=widgets.Layout(width='400px'), + layout=widgets.Layout(width="400px"), disabled=False, ) display(self.detector_type_widget) @@ -107,14 +104,18 @@ def __init__(self, working_dir=None, debug=False): def setup_default_paths(self): logging.info("Setting up default paths...") self.detector_type = self.detector_type_widget.value - self.raw_dir = Path(raw_dir[self.instrument][self.detector_type][0]) / str(self.ipts) - self.autoreduce_dir = Path(autoreduce_dir[self.instrument][self.detector_type][0]) / str(self.ipts) / Path(autoreduce_dir[self.instrument][self.detector_type][1]) + self.raw_dir = Path(raw_dir[self.instrument][self.detector_type][0]) / str(self.ipts) + self.autoreduce_dir = ( + Path(autoreduce_dir[self.instrument][self.detector_type][0]) + / str(self.ipts) + / Path(autoreduce_dir[self.instrument][self.detector_type][1]) + ) logging.info(f"\tAutoreduce dir: {self.autoreduce_dir}") logging.info(f"\tDetector type: {self.detector_type}") logging.info(f"\tRaw dir: {self.raw_dir}") # def manually_set_runs(self): - + # if self.debug: # sample_runs = DEBUG_DATA.sample_runs_selected # sample_run_numbers_list = [] @@ -129,7 +130,7 @@ def setup_default_paths(self): # _, number = _run.split('_') # ob_run_numbers_list.append(number) # str_ob_run_numbers = ', '.join(ob_run_numbers_list) - + # output_folder = DEBUG_DATA.output_folder # else: @@ -154,17 +155,16 @@ def setup_default_paths(self): # ob_label, self.ob_run_numbers_widget, # output_label, self.output_folder_widget,]) # display(vertical_layout) - - # if self.instrument != "SNAP": - # display(HTML("You have the option here to enter the runs manually or just use the widgets (following cells) to define them!")) - # display(vertical_layout) - # else: - # display(HTML("Manual entry of runs is not available for SNAP instrument!")) + # if self.instrument != "SNAP": + # display(HTML("You have the option here to enter the runs manually or just use the widgets (following cells) to define them!")) + # display(vertical_layout) + + # else: + # display(HTML("Manual entry of runs is not available for SNAP instrument!")) def select_sample_folder(self): - self.select_folder(instruction="Select sample top folder", - next_function=self.sample_folder_selected) + self.select_folder(instruction="Select sample top folder", next_function=self.sample_folder_selected) def select_sample_run_numbers(self): # if self.sample_run_numbers_widget.value.strip() != "": @@ -173,33 +173,41 @@ def select_sample_run_numbers(self): # list_sample_runs_full_path = [os.path.join(self.autoreduce_dir, _sample) for _sample in list_sample_run_numbers] # self.sample_run_numbers_selected(list_sample_runs_full_path) # else: - + self.setup_default_paths() if self.debug: sample_runs = DEBUG_DATA.sample_runs_selected sample_run_numbers_list = [] for _run in sample_runs: - _, number = _run.split('_') + _, number = _run.split("_") sample_run_numbers_list.append(number) - str_sample_run_numbers = ', '.join(sample_run_numbers_list) + str_sample_run_numbers = ", ".join(sample_run_numbers_list) else: str_sample_run_numbers = "" - sample_label = widgets.HTML(value=f"List of sample run numbers (ex: 8702, 8704-8706)") + sample_label = widgets.HTML( + value="List of sample run numbers (ex: 8702, 8704-8706)" + ) - self.sample_run_numbers_widget = widgets.Textarea(value=str_sample_run_numbers, - placeholder="", - layout=widgets.Layout(width='400px')) - vertical_layout = widgets.VBox([sample_label, self.sample_run_numbers_widget, - ]) + self.sample_run_numbers_widget = widgets.Textarea( + value=str_sample_run_numbers, placeholder="", layout=widgets.Layout(width="400px") + ) + vertical_layout = widgets.VBox( + [ + sample_label, + self.sample_run_numbers_widget, + ] + ) display(vertical_layout) display(HTML("OR")) - self.select_folder(instruction="Browse sample runs to normalize", - next_function=self.sample_run_numbers_selected, - multiple=True,) + self.select_folder( + instruction="Browse sample runs to normalize", + next_function=self.sample_run_numbers_selected, + multiple=True, + ) def sample_run_numbers_selected(self, runs_selected): self.sample_run_numbers_selected = runs_selected @@ -226,9 +234,9 @@ def extract_full_path(self, run_number=None): if run_number is None: raise ValueError("Run number must be provided") - + if self.detector_type == DetectorType.tpx1_legacy: - return Path(self.autoreduce_dir) / f"Run_{run_number}" + return Path(self.autoreduce_dir) / f"Run_{run_number}" elif self.detector_type in [DetectorType.tpx1, DetectorType.tpx3]: # retrieve the path from the NeXus file @@ -250,10 +258,9 @@ def check_sample(self): """ logging.info("Checking sample inputs...") - display(HTML(f"Sample run numbers selected:")) + display(HTML("Sample run numbers selected:")) if self.sample_run_numbers_widget.value.strip() != "": - list_of_runs = extract_list_of_runs_from_string(self.sample_run_numbers_widget.value) logging.info(f"\t{list_of_runs = }") @@ -267,11 +274,11 @@ def check_sample(self): logging.info(f"\tSample run number {_file_full_path} - FOUND") is_valid_run, report_dict = self.check_folder_is_valid(_file_full_path) if is_valid_run: - nbr_tiff = report_dict['nbr_tiff'] + nbr_tiff = report_dict["nbr_tiff"] logging.info(f"\tSample run number {_file_full_path} - FOUND with {nbr_tiff} tif* files") display(HTML(f"{_file_full_path} - OK")) self.dict_sample[_file_full_path] = {} - self.dict_short_name_full_path['sample'][os.path.basename(_file_full_path)] = _file_full_path + self.dict_short_name_full_path["sample"][os.path.basename(_file_full_path)] = _file_full_path else: display(HTML(f"{_file_full_path} - EMPTY!")) @@ -287,11 +294,11 @@ def check_sample(self): # check here that the folder is not empty (contains tiff) is_valid_run, report_dict = self.check_folder_is_valid(_run) if is_valid_run: - nbr_tiff = report_dict['nbr_tiff'] + nbr_tiff = report_dict["nbr_tiff"] display(HTML(f"{_run} - OK")) notebook_logging.info(f"\tfolder seems to be a valid folder containing {nbr_tiff} tif* files") self.dict_sample[_run] = {} - self.dict_short_name_full_path['sample'][os.path.basename(_run)] = _run + self.dict_short_name_full_path["sample"][os.path.basename(_run)] = _run else: display(HTML(f"{_run} - EMPTY!")) else: @@ -299,8 +306,7 @@ def check_sample(self): notebook_logging.info(f"\tSample run number {_run} - NOT FOUND!") def select_ob_folder(self): - self.select_folder(instruction="Browse ob top folder", - next_function=self.ob_folder_selected) + self.select_folder(instruction="Browse ob top folder", next_function=self.ob_folder_selected) def select_ob_run_numbers(self): # if self.ob_run_numbers_widget.value.strip() != "": @@ -308,47 +314,51 @@ def select_ob_run_numbers(self): # list_ob_run_numbers = [f"Run_{_run.strip()}" for _run in ob_run_numbers] # list_ob_runs_full_path = [os.path.join(self.autoreduce_dir, _ob) for _ob in list_ob_run_numbers] # self.ob_run_numbers_selected(list_ob_runs_full_path) - # else: - + # else: + if self.debug: - ob_runs = DEBUG_DATA.ob_runs_selected ob_run_numbers_list = [] for _run in ob_runs: - _, number = _run.split('_') + _, number = _run.split("_") ob_run_numbers_list.append(number) - str_ob_run_numbers = ', '.join(ob_run_numbers_list) - + str_ob_run_numbers = ", ".join(ob_run_numbers_list) + output_folder = DEBUG_DATA.output_folder else: str_ob_run_numbers = "" - ob_label = widgets.HTML(value=f"List of ob run numbers (ex: 8705, 8707)") + ob_label = widgets.HTML(value="List of ob run numbers (ex: 8705, 8707)") - self.ob_run_numbers_widget = widgets.Textarea(value=str_ob_run_numbers, - placeholder="", - layout=widgets.Layout(width='400px')) - vertical_layout = widgets.VBox([ob_label, self.ob_run_numbers_widget, - ]) + self.ob_run_numbers_widget = widgets.Textarea( + value=str_ob_run_numbers, placeholder="", layout=widgets.Layout(width="400px") + ) + vertical_layout = widgets.VBox( + [ + ob_label, + self.ob_run_numbers_widget, + ] + ) display(vertical_layout) display(HTML("OR")) - self.select_folder(instruction="Browse ob run number folders", - next_function=self.ob_run_numbers_selected, - start_dir=self.ob_folder, - multiple=True) + self.select_folder( + instruction="Browse ob run number folders", + next_function=self.ob_run_numbers_selected, + start_dir=self.ob_folder, + multiple=True, + ) def check_ob(self): """ Check if the ob folder and runs are valid. """ logging.info("Checking ob inputs...") - display(HTML(f"OB run numbers selected:")) + display(HTML("OB run numbers selected:")) if self.ob_run_numbers_widget.value.strip() != "": - list_of_runs = extract_list_of_runs_from_string(self.ob_run_numbers_widget.value) logging.info(f"\t{list_of_runs = }") @@ -362,11 +372,11 @@ def check_ob(self): logging.info(f"\tOB run number {_file_full_path} - FOUND") is_valid_run, report_dict = self.check_folder_is_valid(_file_full_path) if is_valid_run: - nbr_tiff = report_dict['nbr_tiff'] + nbr_tiff = report_dict["nbr_tiff"] logging.info(f"\tOB run number {_file_full_path} - FOUND with {nbr_tiff} tif* files") display(HTML(f"{_file_full_path} - OK")) self.dict_ob[_file_full_path] = {} - self.dict_short_name_full_path['ob'][os.path.basename(_file_full_path)] = _file_full_path + self.dict_short_name_full_path["ob"][os.path.basename(_file_full_path)] = _file_full_path else: display(HTML(f"{_file_full_path} - EMPTY!")) else: @@ -381,10 +391,10 @@ def check_ob(self): # check here that the folder is not empty (contains tiff) is_valid_run, report_dict = self.check_folder_is_valid(_run) if is_valid_run: - nbr_tiff = report_dict['nbr_tiff'] + nbr_tiff = report_dict["nbr_tiff"] display(HTML(f"{_run} - OK")) notebook_logging.info(f"\tfolder seems to be a valid folder containing {nbr_tiff} tif* files") - self.dict_short_name_full_path['ob'][os.path.basename(_run)] = _run + self.dict_short_name_full_path["ob"][os.path.basename(_run)] = _run self.dict_ob[_run] = {} else: display(HTML(f"{_run} - EMPTY!")) @@ -400,7 +410,7 @@ def _load_and_get_integrated_ob(self, full_path): logging.info(f"Loading integrated OB data for {full_path}") # Here you would load the integrated OB data, for example using a specific library # For now, we will just return a dummy value - if self.dict_ob[full_path].get('data') is None: + if self.dict_ob[full_path].get("data") is None: logging.info("No data found for this OB run, loading it now...") # load the data from the OB run logging.info(f"\tFull path to OB run: {os.path.basename(full_path)}") @@ -411,18 +421,17 @@ def _load_and_get_integrated_ob(self, full_path): notebook_logging.error(f"No TIFF files found in {full_path}!") return None data = load_data_using_multithreading(list_tiff, combine_tof=True) - self.dict_ob[full_path]['data'] = data + self.dict_ob[full_path]["data"] = data - return self.dict_ob[full_path]['data'] + return self.dict_ob[full_path]["data"] def preview_ob_runs(self): - if self.dict_ob is None: display(HTML("No OB runs selected!")) return - logging.info(f"Previewing OB runs") - + logging.info("Previewing OB runs") + # list_ob_short_runs = [os.path.basename(_run) for _run in self.ob_run_numbers] # self.dict_ob_runs = {_short_name: _full_name for _short_name, _full_name in zip(list_ob_short_runs, self.ob_run_numbers)} # self.dict_ob_data = {_short_name: None for _short_name in list_ob_short_runs} @@ -430,179 +439,196 @@ def preview_ob_runs(self): list_ob_key = list(self.dict_ob.keys()) list_ob_short_runs = [os.path.basename(_run) for _run in list_ob_key] if len(list_ob_key) == 1: - - logging.info(f"Only one OB run") + logging.info("Only one OB run") full_path = list_ob_key[0] logging.info(f"\tFull path to OB run: {full_path}") integrated_ob = self._load_and_get_integrated_ob(full_path) if integrated_ob is None: - display(HTML(f"Failed to load integrated OB data for {list_ob_short_runs[0]}!")) + display( + HTML( + f"Failed to load integrated OB data for {list_ob_short_runs[0]}!" + ) + ) return fig, ax = plt.subplots(figsize=(10, 6)) - im = ax.imshow(integrated_ob, cmap='viridis', aspect='auto') + im = ax.imshow(integrated_ob, cmap="viridis", aspect="auto") ax.set_title(f"Integrated OB run: {list_ob_short_runs[0]}") - fig.colorbar(im, ax=ax, orientation='vertical', label='Intensity') + fig.colorbar(im, ax=ax, orientation="vertical", label="Intensity") plt.show() - - else: + else: logging.info(f"Multiple OB runs to display: {len(list_ob_key)}") + def display_ob_run(short_name): """ Display the integrated OB run data. """ - full_path = self.dict_short_name_full_path['ob'][short_name] + full_path = self.dict_short_name_full_path["ob"][short_name] integrated_ob = self._load_and_get_integrated_ob(full_path) if integrated_ob is None: - display(HTML(f"Failed to load integrated OB data for {os.path.basename(full_path)}!")) + display( + HTML( + f"Failed to load integrated OB data for {os.path.basename(full_path)}!" + ) + ) return fig, ax = plt.subplots(figsize=(10, 6)) - im = ax.imshow(integrated_ob, cmap='viridis', aspect='auto') + im = ax.imshow(integrated_ob, cmap="viridis", aspect="auto") ax.set_title(f"Integrated OB run: {os.path.basename(full_path)}") - fig.colorbar(im, ax=ax, orientation='vertical', label='Intensity') + fig.colorbar(im, ax=ax, orientation="vertical", label="Intensity") plt.show() - list_ob_key = list(self.dict_short_name_full_path['ob'].keys()) - _display = interactive(display_ob_run, - short_name=widgets.Dropdown( - options=list_ob_key, - description='OB run:', - layout=widgets.Layout(width='100%'), - disabled=False,) + list_ob_key = list(self.dict_short_name_full_path["ob"].keys()) + _display = interactive( + display_ob_run, + short_name=widgets.Dropdown( + options=list_ob_key, + description="OB run:", + layout=widgets.Layout(width="100%"), + disabled=False, + ), ) display(_display) - + def select_output_folder(self): - self.select_folder(instruction="Select output folder", - start_dir=self.working_dir, - next_function=self.output_folder_selected) + self.select_folder( + instruction="Select output folder", start_dir=self.working_dir, next_function=self.output_folder_selected + ) def retrieve_nexus_file_path(self): logging.info("Retrieving NeXus file paths for sample and OB runs...") - logging.info(f"\tworking with sample runs:") + logging.info("\tworking with sample runs:") for full_path in self.dict_sample.keys(): if self.detector_type == DetectorType.tpx1_legacy: - run_number = os.path.basename(full_path).split('_')[1] + run_number = os.path.basename(full_path).split("_")[1] elif self.detector_type in [DetectorType.tpx1, DetectorType.tpx3]: - file_name_split = os.path.basename(full_path).split('_') + file_name_split = os.path.basename(full_path).split("_") run_number = file_name_split[2] - self.dict_sample[full_path]['nexus'] = os.path.join(self.nexus_folder, f"{self.instrument.upper()}_{run_number}.nxs.h5") - logging.info(f"\t\tNeXus file path for sample run {os.path.basename(full_path)}: {self.dict_sample[full_path]['nexus']}") + self.dict_sample[full_path]["nexus"] = os.path.join( + self.nexus_folder, f"{self.instrument.upper()}_{run_number}.nxs.h5" + ) + logging.info( + f"\t\tNeXus file path for sample run {os.path.basename(full_path)}: {self.dict_sample[full_path]['nexus']}" + ) - logging.info(f"\tworking with ob runs:") + logging.info("\tworking with ob runs:") for full_path in self.dict_ob.keys(): if self.detector_type == DetectorType.tpx1_legacy: - run_number = os.path.basename(full_path).split('_')[1] + run_number = os.path.basename(full_path).split("_")[1] elif self.detector_type in [DetectorType.tpx1, DetectorType.tpx3]: - file_name_split = os.path.basename(full_path).split('_') + file_name_split = os.path.basename(full_path).split("_") run_number = file_name_split[2] - self.dict_ob[full_path]['nexus'] = os.path.join(self.nexus_folder, f"{self.instrument.upper()}_{run_number}.nxs.h5") - logging.info(f"\t\tNeXus file path for OB run {os.path.basename(full_path)}: {self.dict_ob[full_path]['nexus']}") + self.dict_ob[full_path]["nexus"] = os.path.join( + self.nexus_folder, f"{self.instrument.upper()}_{run_number}.nxs.h5" + ) + logging.info( + f"\t\tNeXus file path for OB run {os.path.basename(full_path)}: {self.dict_ob[full_path]['nexus']}" + ) logging.info("NeXus file paths retrieved successfully.") def settings(self): - self.retrieve_nexus_file_path() tpx3_disabled_flag = True if self.detector_type == DetectorType.tpx3 else False label = widgets.Label(value="What to take into account for normalization?") display(label) - self.proton_charge_flag = widgets.Checkbox(description='Proton charge', - value=True) - self.shutter_counts_flag = widgets.Checkbox(description='Shutter counts', - value=not tpx3_disabled_flag, - disabled=tpx3_disabled_flag) - self.replace_ob_zeros_by_nan_flag = widgets.Checkbox(description='Replace OB zeros by NaN', - value=True) - self.correct_chips_alignment_flag = widgets.Checkbox(description='Correct chips alignment', - disabled=False, - value=True) - - vertical_layout = widgets.VBox([self.proton_charge_flag, - self.shutter_counts_flag, - self.replace_ob_zeros_by_nan_flag, - self.correct_chips_alignment_flag - ]) + self.proton_charge_flag = widgets.Checkbox(description="Proton charge", value=True) + self.shutter_counts_flag = widgets.Checkbox( + description="Shutter counts", value=not tpx3_disabled_flag, disabled=tpx3_disabled_flag + ) + self.replace_ob_zeros_by_nan_flag = widgets.Checkbox(description="Replace OB zeros by NaN", value=True) + self.correct_chips_alignment_flag = widgets.Checkbox( + description="Correct chips alignment", disabled=False, value=True + ) + + vertical_layout = widgets.VBox( + [ + self.proton_charge_flag, + self.shutter_counts_flag, + self.replace_ob_zeros_by_nan_flag, + self.correct_chips_alignment_flag, + ] + ) display(vertical_layout) display(HTML("
")) - label = widgets.Label(value="Distance source detector (m)", - layout=widgets.Layout(width='200px')) - self.distance_source_detector = widgets.FloatText(value=distance_source_detector_m[self.instrument], - disabled=False, - layout=widgets.Layout(width='50px')) + label = widgets.Label(value="Distance source detector (m)", layout=widgets.Layout(width="200px")) + self.distance_source_detector = widgets.FloatText( + value=distance_source_detector_m[self.instrument], disabled=False, layout=widgets.Layout(width="50px") + ) hori_layout = widgets.HBox([label, self.distance_source_detector]) - display(hori_layout) + display(hori_layout) if self.instrument == "SNAP": - label = widgets.Label(value="Detector offset (us)", - layout=widgets.Layout(width='200px')) - self.detector_offset_us = widgets.FloatText(value=0.0, - disabled=False, - layout=widgets.Layout(width='50px')) + label = widgets.Label(value="Detector offset (us)", layout=widgets.Layout(width="200px")) + self.detector_offset_us = widgets.FloatText(value=0.0, disabled=False, layout=widgets.Layout(width="50px")) hori_layout = widgets.HBox([label, self.detector_offset_us]) display(hori_layout) - + def what_to_export(self): display(HTML("Stack of images")) - self.export_corrected_stack_of_sample_data = widgets.Checkbox(description='Export corrected stack of sample data', - layout=widgets.Layout(width='100%'), - value=False) - self.export_corrected_stack_of_ob_data = widgets.Checkbox(description='Export corrected stack of ob data', - layout=widgets.Layout(width='100%'), - value=False) - self.export_corrected_stack_of_normalized_data = widgets.Checkbox(description='Export corrected stack of normalized data', - layout=widgets.Layout(width='100%'), - value=True, - disabled=True) + self.export_corrected_stack_of_sample_data = widgets.Checkbox( + description="Export corrected stack of sample data", layout=widgets.Layout(width="100%"), value=False + ) + self.export_corrected_stack_of_ob_data = widgets.Checkbox( + description="Export corrected stack of ob data", layout=widgets.Layout(width="100%"), value=False + ) + self.export_corrected_stack_of_normalized_data = widgets.Checkbox( + description="Export corrected stack of normalized data", + layout=widgets.Layout(width="100%"), + value=True, + disabled=True, + ) label = widgets.Label(value="Note: Any of the stacks exported will also contain the original spectra file") - vertical_layout = widgets.VBox([self.export_corrected_stack_of_sample_data, - self.export_corrected_stack_of_ob_data, - self.export_corrected_stack_of_normalized_data, - label - ]) + vertical_layout = widgets.VBox( + [ + self.export_corrected_stack_of_sample_data, + self.export_corrected_stack_of_ob_data, + self.export_corrected_stack_of_normalized_data, + label, + ] + ) display(vertical_layout) display(HTML("Integrated images")) - self.export_corrected_integrated_sample_data = widgets.Checkbox(description='Export corrected integrated sample data', - layout=widgets.Layout(width='100%'), - value=False) - self.export_corrected_integrated_ob_data = widgets.Checkbox(description='Export corrected integrated ob data', - layout=widgets.Layout(width='100%'), - value=False) - self.export_corrected_integrated_normalized_data = widgets.Checkbox(description='Export corrected integrated normalized data', - layout=widgets.Layout(width='100%'), - value=False) - vertical_layout = widgets.VBox([self.export_corrected_integrated_sample_data, - self.export_corrected_integrated_ob_data, - self.export_corrected_integrated_normalized_data, - ]) - + self.export_corrected_integrated_sample_data = widgets.Checkbox( + description="Export corrected integrated sample data", layout=widgets.Layout(width="100%"), value=False + ) + self.export_corrected_integrated_ob_data = widgets.Checkbox( + description="Export corrected integrated ob data", layout=widgets.Layout(width="100%"), value=False + ) + self.export_corrected_integrated_normalized_data = widgets.Checkbox( + description="Export corrected integrated normalized data", layout=widgets.Layout(width="100%"), value=False + ) + vertical_layout = widgets.VBox( + [ + self.export_corrected_integrated_sample_data, + self.export_corrected_integrated_ob_data, + self.export_corrected_integrated_normalized_data, + ] + ) + display(vertical_layout) def run_normalization(self): sample_folder = self.sample_folder ob_folder = self.ob_folder output_folder = self.output_folder - normalization(sample_folder=sample_folder, - ob_folder=ob_folder, - output_folder=output_folder, - verbose=True) + normalization(sample_folder=sample_folder, ob_folder=ob_folder, output_folder=output_folder, verbose=True) display(HTML("Normalization completed")) - display(HTML(f"Log file: /SNS/VENUS/shared/logs/normalization_for_timepix.log")) - + display(HTML("Log file: /SNS/VENUS/shared/logs/normalization_for_timepix.log")) # helper functions def check_folder_is_valid(self, full_path): list_tiff = glob.glob(os.path.join(full_path, "*.tif*")) if list_tiff: - return True, {'nbr_tiff': len(list_tiff)} + return True, {"nbr_tiff": len(list_tiff)} else: - return False, {'nbr_tiff': 0} + return False, {"nbr_tiff": 0} def sample_folder_selected(self, folder_selected): self.sample_folder = folder_selected @@ -651,7 +677,7 @@ def ob_run_numbers_selected(self, folder_selected): def output_folder_selected(self, folder_selected): self.output_folder = folder_selected - display(HTML(f"Output folder selected:")) + display(HTML("Output folder selected:")) if os.path.exists(folder_selected): display(HTML(f"{folder_selected} - FOUND!")) notebook_logging.info(f"Output folder selected: {folder_selected} - FOUND") @@ -660,19 +686,20 @@ def output_folder_selected(self, folder_selected): notebook_logging.info(f"Output folder selected: {folder_selected} - NOT FOUND and will be CREATED!") def select_folder(self, instruction="Select a folder", next_function=None, start_dir=None, multiple=False): - # go straight to autoreduce/mcp folder if start_dir is None: start_dir = self.autoreduce_dir - self.list_input_folders_ui = MyFileSelectorPanel(instruction=instruction, - start_dir=start_dir, - type='directory', - newdir_toolbar_button=True, - multiple=multiple, - sort_in_reverse=True, - # sort_increasing=False, - next=next_function) + self.list_input_folders_ui = MyFileSelectorPanel( + instruction=instruction, + start_dir=start_dir, + type="directory", + newdir_toolbar_button=True, + multiple=multiple, + sort_in_reverse=True, + # sort_increasing=False, + next=next_function, + ) self.list_input_folders_ui.show() # calling main code @@ -680,29 +707,34 @@ def run_normalization_with_list_of_runs(self, preview=False): sample_run_numbers = self.sample_run_numbers ob_run_numbers = self.ob_run_numbers output_folder = self.output_folder - export_mode = {'sample_stack': self.export_corrected_stack_of_sample_data.value, - 'ob_stack': self.export_corrected_stack_of_ob_data.value, - 'normalized_stack': self.export_corrected_stack_of_normalized_data.value, - 'sample_integrated': self.export_corrected_integrated_sample_data.value, - 'ob_integrated': self.export_corrected_integrated_ob_data.value, - 'normalized_integrated': self.export_corrected_integrated_normalized_data.value, - 'x_axis': True, # always export x axis - } + export_mode = { + "sample_stack": self.export_corrected_stack_of_sample_data.value, + "ob_stack": self.export_corrected_stack_of_ob_data.value, + "normalized_stack": self.export_corrected_stack_of_normalized_data.value, + "sample_integrated": self.export_corrected_integrated_sample_data.value, + "ob_integrated": self.export_corrected_integrated_ob_data.value, + "normalized_integrated": self.export_corrected_integrated_normalized_data.value, + "x_axis": True, # always export x axis + } detector_delay_us = None if self.instrument == "SNAP": detector_delay_us = self.detector_offset_us.value - + sample_dict = {} for _full_path in self.dict_sample.keys(): - sample_dict[os.path.basename(_full_path)] = {'full_path': _full_path, - 'nexus': self.dict_sample[_full_path]['nexus']} - + sample_dict[os.path.basename(_full_path)] = { + "full_path": _full_path, + "nexus": self.dict_sample[_full_path]["nexus"], + } + ob_dict = {} for _full_path in self.dict_ob.keys(): - ob_dict[os.path.basename(_full_path)] = {'full_path': _full_path, - 'nexus': self.dict_ob[_full_path]['nexus']} - + ob_dict[os.path.basename(_full_path)] = { + "full_path": _full_path, + "nexus": self.dict_ob[_full_path]["nexus"], + } + if self.correct_chips_alignment_flag.value: if self.detector_type in [DetectorType.tpx1_legacy, DetectorType.tpx1]: correct_chips_alignment_config = timepix1_config @@ -711,20 +743,21 @@ def run_normalization_with_list_of_runs(self, preview=False): else: correct_chips_alignment_config = None - normalization_with_list_of_full_path(sample_dict=sample_dict, - ob_dict=ob_dict, - output_folder=output_folder, - proton_charge_flag=self.proton_charge_flag.value, - shutter_counts_flag=self.shutter_counts_flag.value, - replace_ob_zeros_by_nan_flag=self.replace_ob_zeros_by_nan_flag.value, - correct_chips_alignment_flag=self.correct_chips_alignment_flag.value, - correct_chips_alignment_config=correct_chips_alignment_config, - verbose=True, - instrument=self.instrument, - detector_delay_us=detector_delay_us, - preview=preview, - distance_source_detector_m=self.distance_source_detector.value, - export_mode=export_mode) + normalization_with_list_of_full_path( + sample_dict=sample_dict, + ob_dict=ob_dict, + output_folder=output_folder, + proton_charge_flag=self.proton_charge_flag.value, + shutter_counts_flag=self.shutter_counts_flag.value, + replace_ob_zeros_by_nan_flag=self.replace_ob_zeros_by_nan_flag.value, + correct_chips_alignment_flag=self.correct_chips_alignment_flag.value, + correct_chips_alignment_config=correct_chips_alignment_config, + verbose=True, + instrument=self.instrument, + detector_delay_us=detector_delay_us, + preview=preview, + distance_source_detector_m=self.distance_source_detector.value, + export_mode=export_mode, + ) display(HTML("Normalization completed")) - display(HTML(f"Log file: /SNS/VENUS/shared/logs/normalization_for_timepix.log")) - + display(HTML("Log file: /SNS/VENUS/shared/logs/normalization_for_timepix.log")) diff --git a/notebooks/__code/normalization_tof/units.py b/notebooks/__code/normalization_tof/units.py index 7840b913..8acb982f 100644 --- a/notebooks/__code/normalization_tof/units.py +++ b/notebooks/__code/normalization_tof/units.py @@ -1,7 +1,7 @@ from enum import Enum -import numpy as np -from scipy.constants import h, c, electron_volt, m_n +import numpy as np +from scipy.constants import c, electron_volt, h, m_n """ Small library of units and conversions for use in SAMMY fitting. """ @@ -106,7 +106,7 @@ def convert_to_energy(from_unit, to_unit): EnergyUnitOptions.MeV: 1e6, EnergyUnitOptions.GeV: 1e9, # EnergyUnitOptions.J: 6.242e12, - EnergyUnitOptions.J: 1/electron_volt, + EnergyUnitOptions.J: 1 / electron_volt, } return conversion_factors[from_unit] / conversion_factors[to_unit] @@ -135,8 +135,7 @@ def convert_to_cross_section(from_unit, to_unit): return conversion_factors[from_unit] / conversion_factors[to_unit] -def convert_from_wavelength_to_energy_ev(wavelength, - unit_from=DistanceUnitOptions.angstrom): +def convert_from_wavelength_to_energy_ev(wavelength, unit_from=DistanceUnitOptions.angstrom): """Convert wavelength to energy based on the given units. Args: @@ -152,13 +151,15 @@ def convert_from_wavelength_to_energy_ev(wavelength, return energy -def convert_array_from_time_to_lambda(time_array: np.ndarray, - time_unit: TimeUnitOptions, - distance_source_detector: float, - distance_source_detector_unit: DistanceUnitOptions, - detector_offset_unit: DistanceUnitOptions, - lambda_unit: DistanceUnitOptions, - detector_offset: float = 0.0 ) -> np.ndarray: +def convert_array_from_time_to_lambda( + time_array: np.ndarray, + time_unit: TimeUnitOptions, + distance_source_detector: float, + distance_source_detector_unit: DistanceUnitOptions, + detector_offset_unit: DistanceUnitOptions, + lambda_unit: DistanceUnitOptions, + detector_offset: float = 0.0, +) -> np.ndarray: """Convert an array of time values to wavelength values. Args: @@ -177,7 +178,9 @@ def convert_array_from_time_to_lambda(time_array: np.ndarray, """ time_array_s = time_array * convert_time_units(time_unit, TimeUnitOptions.s) detector_offset_s = detector_offset * convert_time_units(detector_offset_unit, TimeUnitOptions.s) - distance_source_detector_m = distance_source_detector * convert_distance_units(distance_source_detector_unit, DistanceUnitOptions.m) + distance_source_detector_m = distance_source_detector * convert_distance_units( + distance_source_detector_unit, DistanceUnitOptions.m + ) h_over_mn = h / m_n lambda_m = h_over_mn * (time_array_s + detector_offset_s) / distance_source_detector_m @@ -187,13 +190,15 @@ def convert_array_from_time_to_lambda(time_array: np.ndarray, return lambda_converted -def convert_array_from_time_to_energy(time_array: np.ndarray, - time_unit: TimeUnitOptions, - distance_source_detector: float, - distance_source_detector_unit: DistanceUnitOptions, - detector_offset: float, - detector_offset_unit: DistanceUnitOptions, - energy_unit: EnergyUnitOptions) -> np.ndarray: +def convert_array_from_time_to_energy( + time_array: np.ndarray, + time_unit: TimeUnitOptions, + distance_source_detector: float, + distance_source_detector_unit: DistanceUnitOptions, + detector_offset: float, + detector_offset_unit: DistanceUnitOptions, + energy_unit: EnergyUnitOptions, +) -> np.ndarray: """Convert an array of time values to energy values. Args: @@ -209,20 +214,20 @@ def convert_array_from_time_to_energy(time_array: np.ndarray, this is using the formula: E_ev = 1/2 m_n v^2 with t_tof = L/v (L distance source to detector in m, v velocity of the neutron in m/s) so E_ev = 1/2 m_n (L/t_tof)^2 - + Returns: np.ndarray: Array of energy values. """ - + time_units_factor = convert_time_units(time_unit, TimeUnitOptions.s) time_array_s = time_array * time_units_factor - + detector_units_factor = convert_time_units(detector_offset_unit, TimeUnitOptions.s) detector_offset = detector_units_factor * detector_offset distance_source_detector_factor = convert_distance_units(distance_source_detector_unit, DistanceUnitOptions.m) distance_source_detector_m = distance_source_detector * distance_source_detector_factor - + # Calculate the energy in eV using the formula E_ev = 1/2 m_n (L/t_tof)^2 / electron_volt full_time_array_s = time_array_s + detector_offset diff --git a/notebooks/__code/oncat.py b/notebooks/__code/oncat.py index 2c9023e9..ed55b60a 100755 --- a/notebooks/__code/oncat.py +++ b/notebooks/__code/oncat.py @@ -1,35 +1,31 @@ import getpass -import pyoncat -import re -from ipywidgets import widgets +import pyoncat from IPython.display import display +from ipywidgets import widgets -CLIENT_ID = '35b12436-99cc-4ee1-9faf-b2608ea3e6e6' +CLIENT_ID = "35b12436-99cc-4ee1-9faf-b2608ea3e6e6" class Oncat: - oncat = None def __init__(self): - token_store = InMemoryTokenStore() self.oncat = pyoncat.ONCat( - 'https://oncat.ornl.gov', - client_id=CLIENT_ID, - client_secret=None, - token_getter=token_store.get_token, - token_setter=token_store.set_token, - flow=pyoncat.RESOURCE_OWNER_CREDENTIALS_FLOW, - ) + "https://oncat.ornl.gov", + client_id=CLIENT_ID, + client_secret=None, + token_getter=token_store.get_token, + token_setter=token_store.set_token, + flow=pyoncat.RESOURCE_OWNER_CREDENTIALS_FLOW, + ) self.username = getpass.getuser() def authentication(self): try: - self.oncat.login(self.username, - str(getpass.getpass("Enter Password for {}:".format(self.username)))) + self.oncat.login(self.username, str(getpass.getpass(f"Enter Password for {self.username}:"))) except: self.oncat = None @@ -37,50 +33,36 @@ def authentication(self): class GetEverything: - - def __init__(self, - instrument='CG1D', - facility='HFIR', - run='', - oncat=None): - + def __init__(self, instrument="CG1D", facility="HFIR", run="", oncat=None): run = self.__remove_leading_backslash(run) - self.datafiles = oncat.Datafile.retrieve( - run, - facility=facility, - instrument=instrument) + self.datafiles = oncat.Datafile.retrieve(run, facility=facility, instrument=instrument) def __remove_leading_backslash(self, run): return run[1:] class GetProjection: - - def __init__(self, - instrument='CG1D', - facility='HFIR', - list_files=[], - oncat=None, - projection=[], - with_progressbar=False): - - projection.append('ingested') + def __init__( + self, instrument="CG1D", facility="HFIR", list_files=[], oncat=None, projection=[], with_progressbar=False + ): + projection.append("ingested") if with_progressbar: - box1 = widgets.HBox([widgets.Label("Retrieving Metadata ...", - layout=widgets.Layout(width='30%')), - widgets.IntProgress(max=len(list_files), - layout=widgets.Layout(width='70%'))]) + box1 = widgets.HBox( + [ + widgets.Label("Retrieving Metadata ...", layout=widgets.Layout(width="30%")), + widgets.IntProgress(max=len(list_files), layout=widgets.Layout(width="70%")), + ] + ) display(box1) slider = box1.children[1] self.datafiles = {} for _index, _file in enumerate(list_files): - self.datafiles[_file] = oncat.Datafile.retrieve(_file, - facility=facility, - instrument=instrument, - projection=projection) + self.datafiles[_file] = oncat.Datafile.retrieve( + _file, facility=facility, instrument=instrument, projection=projection + ) if with_progressbar: slider.value = _index @@ -90,7 +72,7 @@ def __init__(self, # Create token store -class InMemoryTokenStore(object): +class InMemoryTokenStore: def __init__(self): self._token = None diff --git a/notebooks/__code/outliers_filtering/algorithm.py b/notebooks/__code/outliers_filtering/algorithm.py index c0f0a94e..a8c47e50 100755 --- a/notebooks/__code/outliers_filtering/algorithm.py +++ b/notebooks/__code/outliers_filtering/algorithm.py @@ -1,10 +1,10 @@ +import copy + import numpy as np from scipy.ndimage import median_filter -import copy class Algorithm: - is_dead_pixel_activated = False is_high_counts_activated = False @@ -14,11 +14,8 @@ class Algorithm: median_data = None def __init__(self, parent=None, data=None): - - self.dead_pixel_stats = {'number': 0, - 'percentage': 0} - self.high_counts_stats = {'number': 0, - 'percentage': 0} + self.dead_pixel_stats = {"number": 0, "percentage": 0} + self.high_counts_stats = {"number": 0, "percentage": 0} self.parent = parent self.data = copy.deepcopy(data) @@ -51,21 +48,21 @@ def dead_pixels(self): mask = np.where(self.data == 0) if mask: nbr_pixels = len(mask[0]) - self.dead_pixel_stats['number'] = nbr_pixels - self.dead_pixel_stats['percentage'] = (nbr_pixels / self.total_number_of_pixels) * 100 + self.dead_pixel_stats["number"] = nbr_pixels + self.dead_pixel_stats["percentage"] = (nbr_pixels / self.total_number_of_pixels) * 100 self.data[mask] = self.median_data[mask] def high_counts(self): - threshold = self.parent.ui.filtering_coefficient_value_2.value() / 100. + threshold = self.parent.ui.filtering_coefficient_value_2.value() / 100.0 where_above_threshold = np.where(self.data * threshold > self.median_data) if where_above_threshold: nbr_pixels = len(where_above_threshold[0]) - self.high_counts_stats['number'] = nbr_pixels - self.high_counts_stats['percentage'] = (nbr_pixels / self.total_number_of_pixels) * 100 + self.high_counts_stats["number"] = nbr_pixels + self.high_counts_stats["percentage"] = (nbr_pixels / self.total_number_of_pixels) * 100 self.data[where_above_threshold] = self.median_data[where_above_threshold] def get_dead_pixels_stats(self): return self.dead_pixel_stats def get_high_counts_stats(self): - return self.high_counts_stats \ No newline at end of file + return self.high_counts_stats diff --git a/notebooks/__code/outliers_filtering/display.py b/notebooks/__code/outliers_filtering/display.py index 40a54c73..baeb291f 100755 --- a/notebooks/__code/outliers_filtering/display.py +++ b/notebooks/__code/outliers_filtering/display.py @@ -2,7 +2,6 @@ class Display: - def __init__(self, parent=None): self.parent = parent @@ -26,14 +25,13 @@ def raw_image(self, data): self.parent.live_raw_image = _image if not first_update: - _histo_widget.setLevels(self.parent.raw_histogram_level[0], - self.parent.raw_histogram_level[1]) + _histo_widget.setLevels(self.parent.raw_histogram_level[0], self.parent.raw_histogram_level[1]) # histogram self.parent.ui.raw_histogram_plot.clear() min = 0 max = np.max(_image) - y, x = np.histogram(_image, bins=np.linspace(min, max+1, self.parent.nbr_histo_bins)) + y, x = np.histogram(_image, bins=np.linspace(min, max + 1, self.parent.nbr_histo_bins)) self.parent.ui.raw_histogram_plot.plot(x, y, stepMode=True, fillLevel=0, brush=(0, 0, 255, 150)) def filtered_image(self, data): @@ -56,8 +54,7 @@ def filtered_image(self, data): self.parent.live_filtered_image = _image if not first_update: - _histo_widget.setLevels(self.parent.filtered_histogram_level[0], - self.parent.filtered_histogram_level[1]) + _histo_widget.setLevels(self.parent.filtered_histogram_level[0], self.parent.filtered_histogram_level[1]) # histogram self.parent.ui.filtered_histogram_plot.clear() @@ -67,5 +64,5 @@ def filtered_image(self, data): self.parent.ui.filtered_histogram_plot.plot(x, y, stepMode=True, fillLevel=0, brush=(0, 0, 255, 150)) # re-attaching the x and y axis - self.parent.ui.raw_image_view.view.getViewBox().setYLink('filtered_image') - self.parent.ui.raw_image_view.view.getViewBox().setXLink('filtered_image') + self.parent.ui.raw_image_view.view.getViewBox().setYLink("filtered_image") + self.parent.ui.raw_image_view.view.getViewBox().setXLink("filtered_image") diff --git a/notebooks/__code/outliers_filtering/event_handler.py b/notebooks/__code/outliers_filtering/event_handler.py index bf5767c0..a09d8acf 100755 --- a/notebooks/__code/outliers_filtering/event_handler.py +++ b/notebooks/__code/outliers_filtering/event_handler.py @@ -1,14 +1,12 @@ import numpy as np - from NeuNorm.normalization import Normalization from __code._utilities.table_handler import TableHandler -from __code.outliers_filtering.display import Display from __code.outliers_filtering.algorithm import Algorithm +from __code.outliers_filtering.display import Display class EventHandler: - def __init__(self, parent=None): self.parent = parent @@ -23,50 +21,40 @@ def reset_table_infos(self): nbr_row = o_table.row_count() for _row in np.arange(nbr_row): for _col in np.arange(1, 5): - o_table.insert_item(row=_row, - column=_col, - editable=False, - value="") + o_table.insert_item(row=_row, column=_col, editable=False, value="") def table_selection_changed(self): o_table = TableHandler(table_ui=self.parent.ui.tableWidget) row_selected = o_table.get_row_selected() short_file_name = self.parent.list_short_file_name[row_selected] if self.parent.data.get(short_file_name, None) is None: - self.parent.data[short_file_name] = {'raw': self.load_raw_data(row=row_selected), - 'filtered': None} + self.parent.data[short_file_name] = {"raw": self.load_raw_data(row=row_selected), "filtered": None} if self.parent.image_size is None: - [height, width] = np.shape(self.parent.data[short_file_name]['raw']) + [height, width] = np.shape(self.parent.data[short_file_name]["raw"]) self.parent.image_size = [height, width] - filtered_data = self.calculate_filtered_data(raw_data=self.parent.data[short_file_name]['raw']) + filtered_data = self.calculate_filtered_data(raw_data=self.parent.data[short_file_name]["raw"]) o_display = Display(parent=self.parent) - self.parent.data[short_file_name]['filtered'] = filtered_data - o_display.raw_image(data=self.parent.data[short_file_name]['raw']) + self.parent.data[short_file_name]["filtered"] = filtered_data + o_display.raw_image(data=self.parent.data[short_file_name]["raw"]) o_display.filtered_image(data=filtered_data) def load_raw_data(self, row=0): file = self.parent.list_files[row] o_norm = Normalization() - o_norm.load(file=file, - auto_gamma_filter=False, - manual_gamma_filter=False) - _raw_data = np.squeeze(o_norm.data['sample']['data'][0]) + o_norm.load(file=file, auto_gamma_filter=False, manual_gamma_filter=False) + _raw_data = np.squeeze(o_norm.data["sample"]["data"][0]) return _raw_data def load_data_object(self, file_name=None): o_norm = Normalization() - o_norm.load(file=file_name, - auto_gamma_filter=False, - manual_gamma_filter=False) + o_norm.load(file=file_name, auto_gamma_filter=False, manual_gamma_filter=False) return o_norm def calculate_filtered_data(self, raw_data=None): - - o_algo = Algorithm(parent=self.parent, - data=raw_data) + o_algo = Algorithm(parent=self.parent, data=raw_data) o_algo.run() o_table = TableHandler(table_ui=self.parent.ui.tableWidget) @@ -74,43 +62,34 @@ def calculate_filtered_data(self, raw_data=None): high_counts_stats = o_algo.get_high_counts_stats() - o_table.insert_item(row=row_selected, - column=1, - editable=False, - value=high_counts_stats['number'], - format_str="{:d}") - o_table.insert_item(row=row_selected, - column=2, - editable=False, - value=high_counts_stats['percentage'], - format_str="{:.2f}") + o_table.insert_item( + row=row_selected, column=1, editable=False, value=high_counts_stats["number"], format_str="{:d}" + ) + o_table.insert_item( + row=row_selected, column=2, editable=False, value=high_counts_stats["percentage"], format_str="{:.2f}" + ) dead_pixels_stats = o_algo.get_dead_pixels_stats() - o_table.insert_item(row=row_selected, - column=3, - editable=False, - value=dead_pixels_stats['number'], - format_str="{:d}") - o_table.insert_item(row=row_selected, - column=4, - editable=False, - value=dead_pixels_stats['percentage'], - format_str="{:.2f}") + o_table.insert_item( + row=row_selected, column=3, editable=False, value=dead_pixels_stats["number"], format_str="{:d}" + ) + o_table.insert_item( + row=row_selected, column=4, editable=False, value=dead_pixels_stats["percentage"], format_str="{:.2f}" + ) return o_algo.get_processed_data() - def mouse_moved_in_any_image(self, position=None, image=None): + def mouse_moved_in_any_image(self, position=None, image=None): pos = position - - if image == 'raw': + + if image == "raw": image_view = self.parent.ui.raw_image_view - elif image == 'filtered': + elif image == "filtered": image_view = self.parent.ui.filtered_image_view else: image_view = self.parent.ui.diff_image_view if image_view.view.sceneBoundingRect().contains(pos): - [height, width] = self.parent.image_size mouse_point = image_view.view.getViewBox().mapSceneToView(pos) @@ -124,8 +103,8 @@ def mouse_moved_in_any_image(self, position=None, image=None): _raw_value = self.parent.live_raw_image[mouse_x, mouse_y] _filtered_value = self.parent.live_filtered_image[mouse_x, mouse_y] - self.parent.raw_value.setText("{:.02f}".format(_raw_value)) - self.parent.filtered_value.setText("{:.02f}".format(_filtered_value)) + self.parent.raw_value.setText(f"{_raw_value:.02f}") + self.parent.filtered_value.setText(f"{_filtered_value:.02f}") self.parent.raw_hLine.setPos(mouse_point.y()) self.parent.raw_vLine.setPos(mouse_point.x()) diff --git a/notebooks/__code/outliers_filtering/export.py b/notebooks/__code/outliers_filtering/export.py index c4feb86e..401147a3 100755 --- a/notebooks/__code/outliers_filtering/export.py +++ b/notebooks/__code/outliers_filtering/export.py @@ -1,27 +1,26 @@ -from qtpy.QtWidgets import QFileDialog, QApplication +import os from pathlib import Path + import numpy as np -import os +from qtpy.QtWidgets import QApplication, QFileDialog from __code._utilities.file import make_or_increment_folder_name -from __code.outliers_filtering.event_handler import EventHandler from __code.outliers_filtering.algorithm import Algorithm +from __code.outliers_filtering.event_handler import EventHandler class Export: - def __init__(self, parent=None): self.parent = parent def export(self): base_folder = Path(self.parent.working_dir) directory = str(base_folder.parent) - _export_folder = QFileDialog.getExistingDirectory(self.parent, - directory=directory, - caption="Select Output Folder") + _export_folder = QFileDialog.getExistingDirectory( + self.parent, directory=directory, caption="Select Output Folder" + ) if _export_folder: - export_folder_name = os.path.join(_export_folder, str(base_folder.name) + "_outliers_corrected") export_folder_name = make_or_increment_folder_name(export_folder_name) list_file = self.parent.list_files @@ -31,15 +30,12 @@ def export(self): self.parent.eventProgress.setValue(0) self.parent.eventProgress.setVisible(True) for _row, _file in enumerate(list_file): - o_norm = o_event.load_data_object(file_name=_file) - o_algo = Algorithm(parent=self.parent, - data=np.squeeze(o_norm.data['sample']['data'])) + o_algo = Algorithm(parent=self.parent, data=np.squeeze(o_norm.data["sample"]["data"])) o_algo.run() data_corrected = o_algo.get_processed_data() - o_norm.data['sample']['data'][0] = data_corrected - o_norm.export(folder=export_folder_name, - data_type='sample') + o_norm.data["sample"]["data"][0] = data_corrected + o_norm.export(folder=export_folder_name, data_type="sample") del o_norm del o_algo diff --git a/notebooks/__code/outliers_filtering/get.py b/notebooks/__code/outliers_filtering/get.py index df093c16..806d43b8 100755 --- a/notebooks/__code/outliers_filtering/get.py +++ b/notebooks/__code/outliers_filtering/get.py @@ -1,4 +1,3 @@ class Get: - def __init__(self, parent=None): self.parent = parent diff --git a/notebooks/__code/outliers_filtering/initialization.py b/notebooks/__code/outliers_filtering/initialization.py index b4030275..d56361da 100755 --- a/notebooks/__code/outliers_filtering/initialization.py +++ b/notebooks/__code/outliers_filtering/initialization.py @@ -1,14 +1,22 @@ -import pyqtgraph as pg -from pyqtgraph.dockarea import * -from qtpy.QtWidgets import QVBoxLayout, QTableWidgetItem, QLabel, QSpacerItem, QWidget, QHBoxLayout, QSizePolicy, QProgressBar import os +import pyqtgraph as pg +from pyqtgraph.dockarea import * +from qtpy.QtWidgets import ( + QHBoxLayout, + QLabel, + QProgressBar, + QSizePolicy, + QSpacerItem, + QTableWidgetItem, + QVBoxLayout, + QWidget, +) from __code._utilities.table_handler import TableHandler class Initialization: - def __init__(self, parent=None): self.parent = parent @@ -20,15 +28,15 @@ def pyqtgraph(self): d2 = Dock("Filtered", size=(200, 200)) d2h = Dock("Filtered Histogram", size=(200, 200)) - area.addDock(d1, 'left') - area.addDock(d1h, 'left') - area.moveDock(d1, 'above', d1h) - area.addDock(d2, 'right', d1) - area.addDock(d2h, 'right') - area.moveDock(d2, 'above', d2h) + area.addDock(d1, "left") + area.addDock(d1h, "left") + area.moveDock(d1, "above", d1h) + area.addDock(d2, "right", d1) + area.addDock(d2h, "right") + area.moveDock(d2, "above", d2h) # raw image - self.parent.ui.raw_image_view = pg.ImageView(view=pg.PlotItem(), name='raw_image') + self.parent.ui.raw_image_view = pg.ImageView(view=pg.PlotItem(), name="raw_image") self.parent.ui.raw_image_view.ui.roiBtn.hide() self.parent.ui.raw_image_view.ui.menuBtn.hide() self.parent.ui.raw_image_view.view.setAutoVisible(y=True) @@ -38,9 +46,11 @@ def pyqtgraph(self): self.parent.ui.raw_image_view.addItem(self.parent.raw_hLine, ignoreBounds=True) self.parent.raw_vLine.setPos([1000, 1000]) self.parent.raw_hLine.setPos([1000, 1000]) - self.parent.raw_proxy = pg.SignalProxy(self.parent.ui.raw_image_view.view.scene().sigMouseMoved, - rateLimit=60, - slot=self.parent.mouse_moved_in_raw_image) + self.parent.raw_proxy = pg.SignalProxy( + self.parent.ui.raw_image_view.view.scene().sigMouseMoved, + rateLimit=60, + slot=self.parent.mouse_moved_in_raw_image, + ) d1.addWidget(self.parent.ui.raw_image_view) # raw histogram plot @@ -48,7 +58,7 @@ def pyqtgraph(self): d1h.addWidget(self.parent.ui.raw_histogram_plot) # filtered image - self.parent.ui.filtered_image_view = pg.ImageView(view=pg.PlotItem(), name='filtered_image') + self.parent.ui.filtered_image_view = pg.ImageView(view=pg.PlotItem(), name="filtered_image") self.parent.ui.filtered_image_view.ui.roiBtn.hide() self.parent.ui.filtered_image_view.ui.menuBtn.hide() self.parent.filtered_vLine = pg.InfiniteLine(angle=90, movable=False) @@ -57,9 +67,11 @@ def pyqtgraph(self): self.parent.ui.filtered_image_view.addItem(self.parent.filtered_hLine, ignoreBounds=True) self.parent.filtered_vLine.setPos([1000, 1000]) self.parent.filtered_hLine.setPos([1000, 1000]) - self.parent.filtered_proxy = pg.SignalProxy(self.parent.ui.filtered_image_view.view.scene().sigMouseMoved, - rateLimit=60, - slot=self.parent.mouse_moved_in_filtered_image) + self.parent.filtered_proxy = pg.SignalProxy( + self.parent.ui.filtered_image_view.view.scene().sigMouseMoved, + rateLimit=60, + slot=self.parent.mouse_moved_in_filtered_image, + ) d2.addWidget(self.parent.ui.filtered_image_view) # filtered histogram plot diff --git a/notebooks/__code/outliers_filtering/main.py b/notebooks/__code/outliers_filtering/main.py index d29416d9..8f8c7ac0 100755 --- a/notebooks/__code/outliers_filtering/main.py +++ b/notebooks/__code/outliers_filtering/main.py @@ -1,35 +1,32 @@ -from IPython.display import HTML -from IPython.display import display import os + +from IPython.display import HTML, display from qtpy.QtWidgets import QMainWindow -from __code import load_ui -from __code.file_folder_browser import FileFolderBrowser +from __code import load_ui from __code.decorators import wait_cursor -from __code.outliers_filtering.initialization import Initialization +from __code.file_folder_browser import FileFolderBrowser from __code.outliers_filtering.event_handler import EventHandler from __code.outliers_filtering.export import Export +from __code.outliers_filtering.initialization import Initialization class InterfaceHandler(FileFolderBrowser): - - def __init__(self, working_dir=''): - super(InterfaceHandler, self).__init__(working_dir=working_dir, - next_function=self.display_status) + def __init__(self, working_dir=""): + super(InterfaceHandler, self).__init__(working_dir=working_dir, next_function=self.display_status) def get_list_of_files(self): return self.list_images_ui.selected def select_all_images(self): - self.select_images(instruction='Select all tiff or Fits Images to process ...') + self.select_images(instruction="Select all tiff or Fits Images to process ...") def display_status(self, list_of_files): nbr_images = str(len(list_of_files)) - display(HTML('You have selected ' + nbr_images + ' images ')) + display(HTML('You have selected ' + nbr_images + " images ")) class Interface(QMainWindow): - live_data = [] default_filtering_coefficient_value = 0.1 @@ -60,17 +57,21 @@ class Interface(QMainWindow): image_size = None def __init__(self, parent=None, list_of_files=None): - - display(HTML('Check UI that popped up \ - (maybe hidden behind this browser!)')) + display( + HTML( + 'Check UI that popped up \ + (maybe hidden behind this browser!)' + ) + ) self.list_files = list_of_files self.working_dir = os.path.dirname(list_of_files[0]) super(Interface, self).__init__(parent) - ui_full_path = os.path.join(os.path.dirname(os.path.dirname(os.path.dirname(__file__))), - os.path.join('ui', - 'ui_outliers_filtering_tool.ui')) + ui_full_path = os.path.join( + os.path.dirname(os.path.dirname(os.path.dirname(__file__))), + os.path.join("ui", "ui_outliers_filtering_tool.ui"), + ) self.ui = load_ui(ui_full_path, baseinstance=self) o_init = Initialization(parent=self) @@ -94,12 +95,16 @@ def algorithm_changed(self): o_event = EventHandler(parent=self) o_event.algorithm_changed() except Exception: - display(HTML('Issue loading the data! Make sure you ' - 'are not working with normalized data!')) + display( + HTML( + 'Issue loading the data! Make sure you ' + "are not working with normalized data!" + ) + ) return self.close() - def mouse_moved_in_any_image(self, evt, image='raw'): + def mouse_moved_in_any_image(self, evt, image="raw"): o_event = EventHandler(parent=self) o_event.mouse_moved_in_any_image(position=evt[0], image=image) @@ -109,10 +114,10 @@ def filtering_coefficient_changed(self): self.slider_moved() def mouse_moved_in_raw_image(self, evt): - self.mouse_moved_in_any_image(evt, image='raw') + self.mouse_moved_in_any_image(evt, image="raw") def mouse_moved_in_filtered_image(self, evt): - self.mouse_moved_in_any_image(evt, image='filtered') + self.mouse_moved_in_any_image(evt, image="filtered") def correct_all_images_clicked(self): o_export = Export(parent=self) @@ -129,7 +134,8 @@ def file_index_changed(self): def help_clicked(self): import webbrowser - webbrowser.open('https://neutronimaging.ornl.gov/tutorials/imaging-notebooks/outliers-filtering-tool/') + + webbrowser.open("https://neutronimaging.ornl.gov/tutorials/imaging-notebooks/outliers-filtering-tool/") def display_image(self, image): self.ui.image_view.setImage(image) diff --git a/notebooks/__code/overlay_images/event_handler.py b/notebooks/__code/overlay_images/event_handler.py index 4e5d7fa3..e4a88216 100755 --- a/notebooks/__code/overlay_images/event_handler.py +++ b/notebooks/__code/overlay_images/event_handler.py @@ -1,32 +1,33 @@ +import copy + import numpy as np import pyqtgraph as pg from PIL import Image from qtpy import QtGui -import copy from __code._utilities.table_handler import TableHandler from __code.overlay_images.get import Get class EventHandler: - def __init__(self, parent=None): self.parent = parent def update_views(self, row_selected=0): + self.update_view( + image_resolution="high_res", data=self.parent.o_norm_high_res.data["sample"]["data"][row_selected] + ) - self.update_view(image_resolution='high_res', - data=self.parent.o_norm_high_res.data['sample']['data'][row_selected]) - - self.update_view(image_resolution='low_res', - data=self.parent.o_norm_low_res.data['sample']['data'][row_selected]) + self.update_view( + image_resolution="low_res", data=self.parent.o_norm_low_res.data["sample"]["data"][row_selected] + ) if self.parent.resize_and_overlay_images: self.update_overlay_view(row_selected=row_selected) def update_overlay_view(self, row_selected=0): - image_view = self.parent.image_view['overlay'] - histogram_level = self.parent.histogram_level['overlay'] + image_view = self.parent.image_view["overlay"] + histogram_level = self.parent.histogram_level["overlay"] _res_view = image_view.getView() _res_view_box = _res_view.getViewBox() @@ -37,12 +38,12 @@ def update_overlay_view(self, row_selected=0): first_update = True histo_widget = image_view.getHistogramWidget() histogram_level = histo_widget.getLevels() - self.parent.histogram_level['overlay'] = histogram_level + self.parent.histogram_level["overlay"] = histogram_level # _image = np.transpose(self.parent.resize_and_overlay_images[row_selected]) - hres_image = self.parent.resize_hres_lres_images['hres'][row_selected] - lres_image = self.parent.resize_hres_lres_images['lres'][row_selected] + hres_image = self.parent.resize_hres_lres_images["hres"][row_selected] + lres_image = self.parent.resize_hres_lres_images["lres"][row_selected] # [image_height, image_width] = np.shape(self.parent.o_norm_low_res.data['sample']['data'][0]) if self.parent.ui.transparency_checkBox.isChecked(): @@ -53,16 +54,14 @@ def update_overlay_view(self, row_selected=0): image = np.transpose(image) - self.parent.image_view['overlay'].setImage(image) - self.parent.current_live_image['overlay'] = image + self.parent.image_view["overlay"].setImage(image) + self.parent.current_live_image["overlay"] = image _res_view_box.setState(_state) if not first_update: - histo_widget.setLevels(histogram_level[0], - histogram_level[1]) - - def update_view(self, image_resolution='high_res', data=None): + histo_widget.setLevels(histogram_level[0], histogram_level[1]) + def update_view(self, image_resolution="high_res", data=None): image_view = self.parent.image_view[image_resolution] histogram_level = self.parent.histogram_level[image_resolution] @@ -83,28 +82,26 @@ def update_view(self, image_resolution='high_res', data=None): _res_view_box.setState(_state) if not first_update: - histo_widget.setLevels(histogram_level[0], - histogram_level[1]) + histo_widget.setLevels(histogram_level[0], histogram_level[1]) def update_profile_markers_and_target(self, with_profile=False): - image_view = self.parent.image_view['overlay'] + image_view = self.parent.image_view["overlay"] if with_profile: + if self.parent.markers["overlay"]["1"]["target_ui"] is not None: + image_view.removeItem(self.parent.markers["overlay"]["1"]["target_ui"]) - if not (self.parent.markers['overlay']['1']['target_ui'] is None): - image_view.removeItem(self.parent.markers['overlay']['1']['target_ui']) + width = self.parent.markers["width"] + height = self.parent.markers["height"] + length = self.parent.markers["overlay"]["1"]["length"] - width = self.parent.markers['width'] - height = self.parent.markers['height'] - length = self.parent.markers['overlay']['1']['length'] - - if self.parent.markers['overlay']['1']['ui']: - image_view.addItem(self.parent.markers['overlay']['1']['ui']) + if self.parent.markers["overlay"]["1"]["ui"]: + image_view.addItem(self.parent.markers["overlay"]["1"]["ui"]) else: - x = self.parent.markers['overlay']['1']['x'] - y = self.parent.markers['overlay']['1']['y'] - image_view = self.parent.image_view['overlay'] + x = self.parent.markers["overlay"]["1"]["x"] + y = self.parent.markers["overlay"]["1"]["y"] + image_view = self.parent.image_view["overlay"] pen = QtGui.QPen() pen.setColor(QtGui.QColor(255, 0, 255, 255)) @@ -114,64 +111,65 @@ def update_profile_markers_and_target(self, with_profile=False): image_view.addItem(ui) ui.sigRegionChanged.connect(self.parent.profile_region_moved) - self.parent.markers['overlay']['1']['ui'] = ui + self.parent.markers["overlay"]["1"]["ui"] = ui pos = [] adj = [] - x = self.parent.markers['overlay']['1']['x'] - y = self.parent.markers['overlay']['1']['y'] + x = self.parent.markers["overlay"]["1"]["x"] + y = self.parent.markers["overlay"]["1"]["y"] # target_length = self.parent.markers['target']['length'] # target_border = self.parent.markers['target']['border'] - pos.append([int(x + width / 2), y - length - int(height/2)]) - pos.append([int(x + width / 2), y + length + int(height/2)]) + pos.append([int(x + width / 2), y - length - int(height / 2)]) + pos.append([int(x + width / 2), y + length + int(height / 2)]) adj.append([0, 1]) - pos.append([x - length - int(width/2), int(y + height / 2)]) - pos.append([x + length + int(width/2), int(y + height / 2)]) + pos.append([x - length - int(width / 2), int(y + height / 2)]) + pos.append([x + length + int(width / 2), int(y + height / 2)]) adj.append([2, 3]) pos = np.array(pos) adj = np.array(adj) - line_color = self.parent.markers['target']['color']['vertical'] - lines = np.array([line_color for _ in np.arange(len(adj))], - dtype=[('red', np.ubyte), ('green', np.ubyte), - ('blue', np.ubyte), ('alpha', np.ubyte), - ('width', float)]) - lines[0] = self.parent.markers['target']['color']['horizontal'] + line_color = self.parent.markers["target"]["color"]["vertical"] + lines = np.array( + [line_color for _ in np.arange(len(adj))], + dtype=[ + ("red", np.ubyte), + ("green", np.ubyte), + ("blue", np.ubyte), + ("alpha", np.ubyte), + ("width", float), + ], + ) + lines[0] = self.parent.markers["target"]["color"]["horizontal"] line_view_binning = pg.GraphItem() image_view.addItem(line_view_binning) - line_view_binning.setData(pos=pos, - adj=adj, - pen=lines, - symbol=None, - pxMode=False) - self.parent.markers['overlay']['1']['target_ui'] = line_view_binning + line_view_binning.setData(pos=pos, adj=adj, pen=lines, symbol=None, pxMode=False) + self.parent.markers["overlay"]["1"]["target_ui"] = line_view_binning else: - if self.parent.markers['overlay']['1']['target_ui']: - image_view.removeItem(self.parent.markers['overlay']['1']['ui']) - image_view.removeItem(self.parent.markers['overlay']['1']['target_ui']) - - def update_target(self, image_resolution='high_res', target_index='1'): + if self.parent.markers["overlay"]["1"]["target_ui"]: + image_view.removeItem(self.parent.markers["overlay"]["1"]["ui"]) + image_view.removeItem(self.parent.markers["overlay"]["1"]["target_ui"]) + def update_target(self, image_resolution="high_res", target_index="1"): image_view = self.parent.image_view[image_resolution] - if not (self.parent.markers[image_resolution][target_index]['target_ui'] is None): - image_view.removeItem(self.parent.markers[image_resolution][target_index]['target_ui']) + if self.parent.markers[image_resolution][target_index]["target_ui"] is not None: + image_view.removeItem(self.parent.markers[image_resolution][target_index]["target_ui"]) - width = self.parent.markers['width'] - height = self.parent.markers['height'] + width = self.parent.markers["width"] + height = self.parent.markers["height"] pos = [] adj = [] - x = self.parent.markers[image_resolution][target_index]['x'] - y = self.parent.markers[image_resolution][target_index]['y'] - target_length = self.parent.markers['target']['length'] - target_border = self.parent.markers['target']['border'] + x = self.parent.markers[image_resolution][target_index]["x"] + y = self.parent.markers[image_resolution][target_index]["y"] + target_length = self.parent.markers["target"]["length"] + target_border = self.parent.markers["target"]["border"] pos.append([int(x + width / 2), y + target_border]) pos.append([int(x + width / 2), y + target_border + target_length]) @@ -192,52 +190,53 @@ def update_target(self, image_resolution='high_res', target_index='1'): pos = np.array(pos) adj = np.array(adj) - line_color = self.parent.markers['target']['color'][target_index] - lines = np.array([line_color for _ in np.arange(len(pos))], - dtype=[('red', np.ubyte), ('green', np.ubyte), - ('blue', np.ubyte), ('alpha', np.ubyte), - ('width', float)]) + line_color = self.parent.markers["target"]["color"][target_index] + lines = np.array( + [line_color for _ in np.arange(len(pos))], + dtype=[("red", np.ubyte), ("green", np.ubyte), ("blue", np.ubyte), ("alpha", np.ubyte), ("width", float)], + ) line_view_binning = pg.GraphItem() image_view.addItem(line_view_binning) - line_view_binning.setData(pos=pos, - adj=adj, - pen=lines, - symbol=None, - pxMode=False) - self.parent.markers[image_resolution][target_index]['target_ui'] = line_view_binning - - def get_marker_index_parameters(self, region_index='1'): - region = {'high_res': {'x': self.parent.markers['high_res'][region_index]['x'], - 'y': self.parent.markers['high_res'][region_index]['y']}, - 'low_res': {'x': self.parent.markers['low_res'][region_index]['x'], - 'y': self.parent.markers['low_res'][region_index]['y']}, - } + line_view_binning.setData(pos=pos, adj=adj, pen=lines, symbol=None, pxMode=False) + self.parent.markers[image_resolution][target_index]["target_ui"] = line_view_binning + + def get_marker_index_parameters(self, region_index="1"): + region = { + "high_res": { + "x": self.parent.markers["high_res"][region_index]["x"], + "y": self.parent.markers["high_res"][region_index]["y"], + }, + "low_res": { + "x": self.parent.markers["low_res"][region_index]["x"], + "y": self.parent.markers["low_res"][region_index]["y"], + }, + } return region def overlay_stack_of_images_clicked(self): - region1 = self.get_marker_index_parameters(region_index='1') - region2 = self.get_marker_index_parameters(region_index='2') + region1 = self.get_marker_index_parameters(region_index="1") + region2 = self.get_marker_index_parameters(region_index="2") - x_2_h = region2['high_res']['x'] - x_1_h = region1['high_res']['x'] - y_2_h = region2['high_res']['y'] - y_1_h = region1['high_res']['y'] + x_2_h = region2["high_res"]["x"] + x_1_h = region1["high_res"]["x"] + y_2_h = region2["high_res"]["y"] + y_1_h = region1["high_res"]["y"] distance_h = np.sqrt(np.power(x_2_h - x_1_h, 2) + np.power(y_2_h - y_1_h, 2)) - x_2_l = region2['low_res']['x'] - x_1_l = region1['low_res']['x'] - y_2_l = region2['low_res']['y'] - y_1_l = region1['low_res']['y'] + x_2_l = region2["low_res"]["x"] + x_1_l = region1["low_res"]["x"] + y_2_l = region2["low_res"]["y"] + y_1_l = region1["low_res"]["y"] distance_l = np.sqrt(np.power(x_2_l - x_1_l, 2) + np.power(y_2_l - y_1_l, 2)) scaling_factor = distance_h / distance_l - self.parent.ui.scaling_factor_lineEdit.setText("{:.2f}".format(scaling_factor)) + self.parent.ui.scaling_factor_lineEdit.setText(f"{scaling_factor:.2f}") - [image_height, image_width] = np.shape(self.parent.o_norm_low_res.data['sample']['data'][0]) + [image_height, image_width] = np.shape(self.parent.o_norm_low_res.data["sample"]["data"][0]) new_image_height = int(image_height * scaling_factor) new_image_width = int(image_width * scaling_factor) - self.parent.eventProgress.setMaximum(len(self.parent.o_norm_high_res.data['sample']['data'])) + self.parent.eventProgress.setMaximum(len(self.parent.o_norm_high_res.data["sample"]["data"])) self.parent.eventProgress.setValue(0) self.parent.eventProgress.setVisible(True) QtGui.QGuiApplication.processEvents() @@ -249,8 +248,8 @@ def overlay_stack_of_images_clicked(self): y_2_l_scaled = y_2_l * scaling_factor y_1_l_scaled = y_1_l * scaling_factor - x_1_h = region1['high_res']['x'] - y_1_h = region1['high_res']['y'] + x_1_h = region1["high_res"]["x"] + y_1_h = region1["high_res"]["y"] x_index_array_resized_array = int(x_1_l * scaling_factor - x_1_h) y_index_array_resized_array = int(y_1_l * scaling_factor - y_1_h) @@ -259,22 +258,26 @@ def overlay_stack_of_images_clicked(self): resize_and_overlay_images = [] resize_and_overlay_modes = [] - high_res_images = self.parent.o_norm_high_res.data['sample']['data'] + high_res_images = self.parent.o_norm_high_res.data["sample"]["data"] o_table = TableHandler(table_ui=self.parent.ui.tableWidget) resize_hres_images = [] resize_lres_images = [] - for _row, _low_res_image in enumerate(self.parent.o_norm_low_res.data['sample']['data']): + for _row, _low_res_image in enumerate(self.parent.o_norm_low_res.data["sample"]["data"]): new_image = np.array(Image.fromarray(_low_res_image).resize((new_image_width, new_image_height))) resize_lres_images.append(copy.deepcopy(new_image)) - high_res_image = self.get_full_high_res_image(high_res_images[_row], - image_height, image_width, - new_image_height, new_image_width, - x_index_array_resized_array, - y_index_array_resized_array) + high_res_image = self.get_full_high_res_image( + high_res_images[_row], + image_height, + image_width, + new_image_height, + new_image_width, + x_index_array_resized_array, + y_index_array_resized_array, + ) resize_hres_images.append(high_res_image) if _row == 0: @@ -284,15 +287,16 @@ def overlay_stack_of_images_clicked(self): # add high resolution image new_working_image = copy.deepcopy(new_image) - new_working_image[y_index_array_resized_array: y_index_array_resized_array + image_height, - x_index_array_resized_array: x_index_array_resized_array + image_width] = high_res_images[_row] + new_working_image[ + y_index_array_resized_array : y_index_array_resized_array + image_height, + x_index_array_resized_array : x_index_array_resized_array + image_width, + ] = high_res_images[_row] resize_and_overlay_images.append(new_working_image) - self.parent.eventProgress.setValue(_row+1) + self.parent.eventProgress.setValue(_row + 1) QtGui.QGuiApplication.processEvents() - self.parent.resize_hres_lres_images = {'lres': resize_lres_images, - 'hres': resize_hres_images} + self.parent.resize_hres_lres_images = {"lres": resize_lres_images, "hres": resize_hres_images} self.parent.resize_and_overlay_images = resize_and_overlay_images self.parent.resize_and_overlay_modes = resize_and_overlay_modes @@ -305,7 +309,7 @@ def overlay_stack_of_images_clicked(self): self.parent.eventProgress.setVisible(False) self.check_offset_manual_button_status() - message = "Overlay created using a scaling factor of {:.2f}!".format(scaling_factor) + message = f"Overlay created using a scaling factor of {scaling_factor:.2f}!" self.parent.ui.statusbar.showMessage(message, 10000) # 10s self.parent.ui.statusbar.setStyleSheet("color: green") @@ -317,53 +321,67 @@ def manual_overlay_of_selected_image_only(self): self.parent.resize_and_overlay_modes[row_selected] = "Manual" o_table.set_item_with_str(row=row_selected, column=2, cell_str="Manual") - [image_height, image_width] = np.shape(self.parent.o_norm_low_res.data['sample']['data'][0]) + [image_height, image_width] = np.shape(self.parent.o_norm_low_res.data["sample"]["data"][0]) new_image_height = int(image_height * scaling_factor) new_image_width = int(image_width * scaling_factor) x_index_array_resized_array = int(str(self.parent.ui.xoffset_lineEdit.text())) y_index_array_resized_array = int(str(self.parent.ui.yoffset_lineEdit.text())) resize_and_overlay_images = self.parent.resize_and_overlay_images - _high_res_image = self.parent.o_norm_high_res.data['sample']['data'][row_selected] - _low_res_image = self.parent.o_norm_low_res.data['sample']['data'][row_selected] + _high_res_image = self.parent.o_norm_high_res.data["sample"]["data"][row_selected] + _low_res_image = self.parent.o_norm_low_res.data["sample"]["data"][row_selected] new_image = np.array(Image.fromarray(_low_res_image).resize((new_image_width, new_image_height))) # self.parent.rescaled_low_res_height, self.parent.rescaled_low_res_width = np.shape(new_image) - self.parent.resize_hres_lres_images['hres'][row_selected] = copy.deepcopy(new_image) - high_res_image = self.get_full_high_res_image(_high_res_image, image_height, image_width, new_image_height, - new_image_width, x_index_array_resized_array, - y_index_array_resized_array) - self.parent.resize_hres_lres_images['lres'][row_selected] = high_res_image + self.parent.resize_hres_lres_images["hres"][row_selected] = copy.deepcopy(new_image) + high_res_image = self.get_full_high_res_image( + _high_res_image, + image_height, + image_width, + new_image_height, + new_image_width, + x_index_array_resized_array, + y_index_array_resized_array, + ) + self.parent.resize_hres_lres_images["lres"][row_selected] = high_res_image # image for none transparency mode new_working_image = copy.deepcopy(new_image) - new_working_image[y_index_array_resized_array: y_index_array_resized_array + image_height, - x_index_array_resized_array: x_index_array_resized_array + image_width] = _high_res_image + new_working_image[ + y_index_array_resized_array : y_index_array_resized_array + image_height, + x_index_array_resized_array : x_index_array_resized_array + image_width, + ] = _high_res_image resize_and_overlay_images[row_selected] = new_working_image QtGui.QGuiApplication.processEvents() self.parent.resize_and_overlay_images = resize_and_overlay_images self.parent.update_overlay_preview(row_selected=row_selected) - def get_full_high_res_image(self, _high_res_image, - image_height, image_width, - new_image_height, new_image_width, - x_index_array_resized_array, - y_index_array_resized_array): + def get_full_high_res_image( + self, + _high_res_image, + image_height, + image_width, + new_image_height, + new_image_width, + x_index_array_resized_array, + y_index_array_resized_array, + ): high_res_image = np.ones((new_image_height, new_image_width)) - high_res_image[y_index_array_resized_array: y_index_array_resized_array + image_height, - x_index_array_resized_array: x_index_array_resized_array + image_width] = \ - _high_res_image + high_res_image[ + y_index_array_resized_array : y_index_array_resized_array + image_height, + x_index_array_resized_array : x_index_array_resized_array + image_width, + ] = _high_res_image return high_res_image def manual_overlay_stack_of_images_clicked(self): scaling_factor = float(str(self.parent.ui.scaling_factor_lineEdit.text())) - [image_height, image_width] = np.shape(self.parent.o_norm_low_res.data['sample']['data'][0]) + [image_height, image_width] = np.shape(self.parent.o_norm_low_res.data["sample"]["data"][0]) new_image_height = int(image_height * scaling_factor) new_image_width = int(image_width * scaling_factor) - self.parent.eventProgress.setMaximum(len(self.parent.o_norm_high_res.data['sample']['data'])) + self.parent.eventProgress.setMaximum(len(self.parent.o_norm_high_res.data["sample"]["data"])) self.parent.eventProgress.setValue(0) self.parent.eventProgress.setVisible(True) QtGui.QGuiApplication.processEvents() @@ -378,8 +396,8 @@ def manual_overlay_stack_of_images_clicked(self): resize_hres_images = [] resize_lres_images = [] - high_res_images = self.parent.o_norm_high_res.data['sample']['data'] - for _row, _low_res_image in enumerate(self.parent.o_norm_low_res.data['sample']['data']): + high_res_images = self.parent.o_norm_high_res.data["sample"]["data"] + for _row, _low_res_image in enumerate(self.parent.o_norm_low_res.data["sample"]["data"]): new_image = np.array(Image.fromarray(_low_res_image).resize((new_image_width, new_image_height))) resize_lres_images.append(copy.deepcopy(new_image)) @@ -388,28 +406,31 @@ def manual_overlay_stack_of_images_clicked(self): resize_and_overlay_modes.append("Manual") o_table.set_item_with_str(row=_row, column=2, cell_str="Manual") - high_res_image = self.get_full_high_res_image(high_res_images[_row], - image_height, - image_width, - new_image_height, - new_image_width, - x_index_array_resized_array, - y_index_array_resized_array) + high_res_image = self.get_full_high_res_image( + high_res_images[_row], + image_height, + image_width, + new_image_height, + new_image_width, + x_index_array_resized_array, + y_index_array_resized_array, + ) resize_hres_images.append(high_res_image) # add high resolution image new_working_image = copy.deepcopy(new_image) - new_working_image[y_index_array_resized_array: y_index_array_resized_array + image_height, - x_index_array_resized_array: x_index_array_resized_array + image_width] = high_res_images[_row] + new_working_image[ + y_index_array_resized_array : y_index_array_resized_array + image_height, + x_index_array_resized_array : x_index_array_resized_array + image_width, + ] = high_res_images[_row] resize_and_overlay_images.append(new_working_image) - self.parent.eventProgress.setValue(_row+1) + self.parent.eventProgress.setValue(_row + 1) QtGui.QGuiApplication.processEvents() self.parent.resize_and_overlay_images = resize_and_overlay_images self.parent.resize_and_overlay_modes = resize_and_overlay_modes - self.parent.resize_hres_lres_images = {'lres': resize_lres_images, - 'hres': resize_hres_images} + self.parent.resize_hres_lres_images = {"lres": resize_lres_images, "hres": resize_hres_images} row_selected = o_table.get_row_selected() @@ -417,7 +438,7 @@ def manual_overlay_stack_of_images_clicked(self): self.parent.ui.tabWidget.setTabEnabled(1, True) self.parent.eventProgress.setVisible(False) - message = "Overlay created using manual settings!".format(scaling_factor) + message = "Overlay created using manual settings!".format() self.parent.ui.statusbar.showMessage(message, 10000) # 10s self.parent.ui.statusbar.setStyleSheet("color: green") @@ -440,8 +461,9 @@ def check_xoffset_manual_button_status(self): elif xoffset_value == (self.parent.rescaled_low_res_width - self.parent.high_res_image_width): status_plus_button = False status_plus_plus_button = False - elif xoffset_value > (self.parent.rescaled_low_res_width - - self.parent.high_res_image_width - self.parent.DOUBLE_OFFSET): + elif xoffset_value > ( + self.parent.rescaled_low_res_width - self.parent.high_res_image_width - self.parent.DOUBLE_OFFSET + ): status_plus_plus_button = False self.parent.ui.xoffset_minus_minus_pushButton.setEnabled(status_minus_minus_button) @@ -464,8 +486,9 @@ def check_yoffset_manual_button_status(self): elif yoffset_value == (self.parent.rescaled_low_res_height - self.parent.high_res_image_height): status_plus_button = False status_plus_plus_button = False - elif yoffset_value > (self.parent.rescaled_low_res_height - - self.parent.high_res_image_height - self.parent.DOUBLE_OFFSET): + elif yoffset_value > ( + self.parent.rescaled_low_res_height - self.parent.high_res_image_height - self.parent.DOUBLE_OFFSET + ): status_plus_plus_button = False self.parent.ui.yoffset_minus_minus_pushButton.setEnabled(status_minus_minus_button) @@ -479,14 +502,14 @@ def update_profile_plots(self): return o_get = Get(parent=self.parent) - overlay_1_dict = o_get.marker_location(image_resolution='overlay', target_index='1') + overlay_1_dict = o_get.marker_location(image_resolution="overlay", target_index="1") - width = self.parent.markers['width'] - height = self.parent.markers['height'] - length = self.parent.markers['overlay']['1']['length'] + width = self.parent.markers["width"] + height = self.parent.markers["height"] + length = self.parent.markers["overlay"]["1"]["length"] - center_x = overlay_1_dict['x'] + int(width/2) - center_y = overlay_1_dict['y'] + int(height/2) + center_x = overlay_1_dict["x"] + int(width / 2) + center_y = overlay_1_dict["y"] + int(height / 2) # scaling_factor = float(str(self.parent.ui.scaling_factor_lineEdit.text())) o_table = TableHandler(table_ui=self.parent.ui.tableWidget) @@ -504,8 +527,8 @@ def update_profile_plots(self): # low_res_image = self.parent.np.array(Image.fromarray(_low_res_image).resize((new_image_width, # new_image_height))) - low_res_image = self.parent.resize_hres_lres_images['lres'][row_selected] - high_res_image = self.parent.resize_hres_lres_images['hres'][row_selected] + low_res_image = self.parent.resize_hres_lres_images["lres"][row_selected] + high_res_image = self.parent.resize_hres_lres_images["hres"][row_selected] # high_res_image = np.ones((new_image_height, new_image_width)) # high_res_image[y_index_array_resized_array: y_index_array_resized_array + image_height, @@ -520,10 +543,10 @@ def update_profile_plots(self): self.parent.horizontal_profile_plot.axes.clear() self.parent.horizontal_profile_plot.draw() - self.parent.horizontal_profile_plot.axes.plot(x_axis, horizontal_profile_high_res, - '-b', label='high resolution') - self.parent.horizontal_profile_plot.axes.plot(x_axis, horizontal_profile_low_res, - '--b', label='low resolution') + self.parent.horizontal_profile_plot.axes.plot( + x_axis, horizontal_profile_high_res, "-b", label="high resolution" + ) + self.parent.horizontal_profile_plot.axes.plot(x_axis, horizontal_profile_low_res, "--b", label="low resolution") self.parent.horizontal_profile_plot.axes.legend() self.parent.horizontal_profile_plot.draw() @@ -536,18 +559,18 @@ def update_profile_plots(self): self.parent.vertical_profile_plot.axes.clear() self.parent.vertical_profile_plot.draw() - self.parent.vertical_profile_plot.axes.plot(y_axis, vertical_profile_high_res, - '-r', label='high resolution') - self.parent.vertical_profile_plot.axes.plot(y_axis, vertical_profile_low_res, - '--r', label='low resolution') + self.parent.vertical_profile_plot.axes.plot(y_axis, vertical_profile_high_res, "-r", label="high resolution") + self.parent.vertical_profile_plot.axes.plot(y_axis, vertical_profile_low_res, "--r", label="low resolution") self.parent.vertical_profile_plot.axes.legend() self.parent.vertical_profile_plot.draw() def transparency_widgets_status(self): transparency_checkbox_status = self.parent.ui.transparency_checkBox.isChecked() - list_ui = [self.parent.ui.low_resolution_label, - self.parent.ui.high_resolution_label, - self.parent.ui.transparency_slider] + list_ui = [ + self.parent.ui.low_resolution_label, + self.parent.ui.high_resolution_label, + self.parent.ui.transparency_slider, + ] for _ui in list_ui: _ui.setEnabled(transparency_checkbox_status) @@ -555,9 +578,7 @@ def save_overlay_parameters(self): sf = str(self.parent.ui.scaling_factor_lineEdit.text()) xoffset = str(self.parent.ui.xoffset_lineEdit.text()) yoffset = str(self.parent.ui.yoffset_lineEdit.text()) - self.parent.parameters_used_on_all_images = {'scaling_factor': sf, - 'xoffset': xoffset, - 'yoffset': yoffset} + self.parent.parameters_used_on_all_images = {"scaling_factor": sf, "xoffset": xoffset, "yoffset": yoffset} self.parent.ui.export_pushButton.setEnabled(True) def check_export_button_status(self): @@ -566,13 +587,13 @@ def check_export_button_status(self): def _can_we_enable_export_button(self): sf = str(self.parent.ui.scaling_factor_lineEdit.text()) - if not (sf == self.parent.parameters_used_on_all_images['scaling_factor']): + if not (sf == self.parent.parameters_used_on_all_images["scaling_factor"]): return False xoffset = str(self.parent.ui.xoffset_lineEdit.text()) - if not (xoffset == self.parent.parameters_used_on_all_images['xoffset']): + if not (xoffset == self.parent.parameters_used_on_all_images["xoffset"]): return False yoffset = str(self.parent.ui.yoffset_lineEdit.text()) - if not (yoffset == self.parent.parameters_used_on_all_images['yoffset']): + if not (yoffset == self.parent.parameters_used_on_all_images["yoffset"]): return False return True diff --git a/notebooks/__code/overlay_images/export.py b/notebooks/__code/overlay_images/export.py index b4f86ae2..572c14a5 100755 --- a/notebooks/__code/overlay_images/export.py +++ b/notebooks/__code/overlay_images/export.py @@ -1,30 +1,25 @@ -from qtpy.QtWidgets import QFileDialog, QApplication -from qtpy import QtGui import os from NeuNorm.normalization import Normalization +from qtpy import QtGui +from qtpy.QtWidgets import QFileDialog from __code.file_handler import make_or_reset_folder class Export: - def __init__(self, parent=None): self.parent = parent def run(self): working_dir = os.path.abspath(os.path.dirname(self.parent.working_dir)) - export_folder = QFileDialog.getExistingDirectory(self.parent, - caption="Select folder", - directory=working_dir) + export_folder = QFileDialog.getExistingDirectory(self.parent, caption="Select folder", directory=working_dir) if export_folder: - # make own folder where the data will be exported short_high_res_input_folder = os.path.basename(self.parent.high_res_input_folder) short_low_res_input_folder = os.path.basename(self.parent.low_res_input_folder) - output_folder = "{}_and_{}_overlaid".format(short_low_res_input_folder, - short_high_res_input_folder) + output_folder = f"{short_low_res_input_folder}_and_{short_high_res_input_folder}_overlaid" full_output_folder = os.path.join(export_folder, output_folder) make_or_reset_folder(full_output_folder) @@ -39,29 +34,28 @@ def run(self): self.parent.eventProgress.setVisible(True) QtGui.QGuiApplication.processEvents() - sf = self.parent.parameters_used_on_all_images['scaling_factor'] - xoffset = self.parent.parameters_used_on_all_images['xoffset'] - yoffset = self.parent.parameters_used_on_all_images['yoffset'] - metadata = {1000: 'scaling_factor: {}'.format(sf), - 1001: 'xoffset: {}'.format(xoffset), - 1002: 'yoffset: {}'.format(yoffset), - } + sf = self.parent.parameters_used_on_all_images["scaling_factor"] + xoffset = self.parent.parameters_used_on_all_images["xoffset"] + yoffset = self.parent.parameters_used_on_all_images["yoffset"] + metadata = { + 1000: f"scaling_factor: {sf}", + 1001: f"xoffset: {xoffset}", + 1002: f"yoffset: {yoffset}", + } list_of_filename = self.parent.list_of_high_res_filename for _index, _overlay_image in enumerate(resize_and_overlay_images): - _short_filemame = os.path.basename(list_of_filename[_index]) o_norm = Normalization() o_norm.load(data=_overlay_image) - o_norm.data['sample']['file_name'] = [_short_filemame] - o_norm.data['sample']['metadata'] = [metadata] - o_norm.export(folder=full_output_folder, - data_type='sample') + o_norm.data["sample"]["file_name"] = [_short_filemame] + o_norm.data["sample"]["metadata"] = [metadata] + o_norm.export(folder=full_output_folder, data_type="sample") self.parent.eventProgress.setValue(_index + 1) QtGui.QGuiApplication.processEvents() self.parent.eventProgress.setVisible(False) - message = "Overlaid images exported in {}".format(full_output_folder) + message = f"Overlaid images exported in {full_output_folder}" self.parent.ui.statusbar.showMessage(message, 20000) # 20s self.parent.ui.statusbar.setStyleSheet("color: green") diff --git a/notebooks/__code/overlay_images/get.py b/notebooks/__code/overlay_images/get.py index 8e14ddc3..45880806 100755 --- a/notebooks/__code/overlay_images/get.py +++ b/notebooks/__code/overlay_images/get.py @@ -1,18 +1,15 @@ class Get: - def __init__(self, parent=None): self.parent = parent - def marker_location(self, image_resolution='high_res', target_index='1'): - - roi_id = self.parent.markers[image_resolution][target_index]['ui'] + def marker_location(self, image_resolution="high_res", target_index="1"): + roi_id = self.parent.markers[image_resolution][target_index]["ui"] live_image = self.parent.current_live_image[image_resolution] image_view_item = self.parent.image_view[image_resolution].imageItem - region = roi_id.getArraySlice(live_image, - image_view_item) + region = roi_id.getArraySlice(live_image, image_view_item) x0 = region[0][0].start y0 = region[0][1].start - return {'x': x0, 'y': y0} + return {"x": x0, "y": y0} diff --git a/notebooks/__code/overlay_images/initialization.py b/notebooks/__code/overlay_images/initialization.py index 0e05ace4..99173043 100755 --- a/notebooks/__code/overlay_images/initialization.py +++ b/notebooks/__code/overlay_images/initialization.py @@ -1,34 +1,35 @@ -from qtpy.QtWidgets import QMainWindow, QVBoxLayout, QProgressBar, QApplication -from qtpy import QtGui import os -import numpy as np from collections import OrderedDict -import pyqtgraph as pg + import matplotlib -matplotlib.use('Qt5Agg') +import pyqtgraph as pg +from qtpy import QtGui +from qtpy.QtWidgets import QProgressBar, QVBoxLayout + +matplotlib.use("Qt5Agg") from matplotlib.backends.backend_qt5agg import NavigationToolbar2QT as NavigationToolbar -from __code.panoramic_stitching.mplcanvas import MplCanvas from __code._utilities.table_handler import TableHandler from __code.overlay_images.event_handler import EventHandler +from __code.panoramic_stitching.mplcanvas import MplCanvas class Initialization: - def __init__(self, parent=None): self.parent = parent def dictionaries(self): - list_high_res_files = self.parent.o_norm_high_res.data['sample']['file_name'] + list_high_res_files = self.parent.o_norm_high_res.data["sample"]["file_name"] list_high_res_files_basename = [os.path.basename(_file) for _file in list_high_res_files] - list_low_res_files = self.parent.o_norm_low_res.data['sample']['file_name'] + list_low_res_files = self.parent.o_norm_low_res.data["sample"]["file_name"] list_low_res_files_basename = [os.path.basename(_file) for _file in list_low_res_files] dict_offsets = OrderedDict() for _index, _filename in enumerate(list_high_res_files_basename): - dict_offsets[_filename] = {'offset': {'x': 0, 'y': 0}, - 'low_resolution_filename': list_low_res_files_basename[_index], - } + dict_offsets[_filename] = { + "offset": {"x": 0, "y": 0}, + "low_resolution_filename": list_low_res_files_basename[_index], + } self.parent.dict_images_offset = dict_offsets def statusbar(self): @@ -37,10 +38,9 @@ def statusbar(self): self.parent.ui.statusbar.addPermanentWidget(self.parent.eventProgress) def widgets(self): - # list of files table - list_high_res_files = self.parent.o_norm_high_res.data['sample']['file_name'] - list_low_res_files = self.parent.o_norm_low_res.data['sample']['file_name'] + list_high_res_files = self.parent.o_norm_high_res.data["sample"]["file_name"] + list_low_res_files = self.parent.o_norm_low_res.data["sample"]["file_name"] list_high_res_files_basename = [os.path.basename(_file) for _file in list_high_res_files] list_low_res_files_basename = [os.path.basename(_file) for _file in list_low_res_files] @@ -49,7 +49,9 @@ def widgets(self): o_table = TableHandler(table_ui=self.parent.ui.tableWidget) _row = 0 - for _high_res_file, _low_res_file in zip(list_high_res_files_basename, list_low_res_files_basename): + for _high_res_file, _low_res_file in zip( + list_high_res_files_basename, list_low_res_files_basename, strict=False + ): o_table.insert_empty_row(row=_row) o_table.insert_item(row=_row, column=0, value=_high_res_file, editable=False) o_table.insert_item(row=_row, column=1, value=_low_res_file, editable=False) @@ -73,7 +75,6 @@ def widgets(self): self.parent.ui.transparency_checkBox.setChecked(False) def matplotlib(self): - def _matplotlib(parent=None, widget=None): sc = MplCanvas(parent, width=5, height=4, dpi=100) # sc.axes.plot([0,1,2,3,4,5], [10, 1, 20 ,3, 40, 50]) @@ -84,47 +85,44 @@ def _matplotlib(parent=None, widget=None): widget.setLayout(layout) return sc - self.parent.horizontal_profile_plot = _matplotlib(parent=self.parent, - widget=self.parent.ui.horizontal_profile_widget) - self.parent.vertical_profile_plot = _matplotlib(parent=self.parent, - widget=self.parent.ui.vertical_profile_widget) + self.parent.horizontal_profile_plot = _matplotlib( + parent=self.parent, widget=self.parent.ui.horizontal_profile_widget + ) + self.parent.vertical_profile_plot = _matplotlib( + parent=self.parent, widget=self.parent.ui.vertical_profile_widget + ) # self.profile_plot.mpl_connect('button_press_event', self.click_on_profile_plot) - def pyqtgraph(self): - - self.parent.image_view['high_res'] = pg.ImageView(view=pg.PlotItem()) - self.parent.image_view['high_res'].ui.roiBtn.hide() - self.parent.image_view['high_res'].ui.menuBtn.hide() + self.parent.image_view["high_res"] = pg.ImageView(view=pg.PlotItem()) + self.parent.image_view["high_res"].ui.roiBtn.hide() + self.parent.image_view["high_res"].ui.menuBtn.hide() image_layout = QVBoxLayout() - image_layout.addWidget(self.parent.image_view['high_res']) + image_layout.addWidget(self.parent.image_view["high_res"]) self.parent.ui.high_res_widget.setLayout(image_layout) - self.parent.image_view['low_res'] = pg.ImageView(view=pg.PlotItem()) - self.parent.image_view['low_res'].ui.roiBtn.hide() - self.parent.image_view['low_res'].ui.menuBtn.hide() + self.parent.image_view["low_res"] = pg.ImageView(view=pg.PlotItem()) + self.parent.image_view["low_res"].ui.roiBtn.hide() + self.parent.image_view["low_res"].ui.menuBtn.hide() image_layout = QVBoxLayout() - image_layout.addWidget(self.parent.image_view['low_res']) + image_layout.addWidget(self.parent.image_view["low_res"]) self.parent.ui.low_res_widget.setLayout(image_layout) - self.parent.image_view['overlay'] = pg.ImageView(view=pg.PlotItem()) - self.parent.image_view['overlay'].ui.roiBtn.hide() - self.parent.image_view['overlay'].ui.menuBtn.hide() + self.parent.image_view["overlay"] = pg.ImageView(view=pg.PlotItem()) + self.parent.image_view["overlay"].ui.roiBtn.hide() + self.parent.image_view["overlay"].ui.menuBtn.hide() image_layout = QVBoxLayout() - image_layout.addWidget(self.parent.image_view['overlay']) + image_layout.addWidget(self.parent.image_view["overlay"]) self.parent.ui.overlay_widget.setLayout(image_layout) - def _design_marker(self, image_resolution=None, - target_index=None, - pen=None, image_view=None, - method=None): - x = self.parent.markers[image_resolution][target_index]['x'] - y = self.parent.markers[image_resolution][target_index]['y'] + def _design_marker(self, image_resolution=None, target_index=None, pen=None, image_view=None, method=None): + x = self.parent.markers[image_resolution][target_index]["x"] + y = self.parent.markers[image_resolution][target_index]["y"] image_view = self.parent.image_view[image_resolution] - width = self.parent.markers['width'] - height = self.parent.markers['height'] + width = self.parent.markers["width"] + height = self.parent.markers["height"] ui = pg.ROI([x, y], [width, height], scaleSnap=True, pen=pen) image_view.addItem(ui) @@ -140,31 +138,27 @@ def markers(self): blue_pen.setColor(QtGui.QColor(0, 0, 255, 255)) blue_pen.setWidthF(0.05) - self.parent.markers['high_res']['1']['ui'] = self._design_marker(image_resolution='high_res', - target_index='1', - pen=red_pen, - method=self.parent.markers_changed) + self.parent.markers["high_res"]["1"]["ui"] = self._design_marker( + image_resolution="high_res", target_index="1", pen=red_pen, method=self.parent.markers_changed + ) - self.parent.markers['high_res']['2']['ui'] = self._design_marker(image_resolution='high_res', - target_index='2', - pen=blue_pen, - method=self.parent.markers_changed) + self.parent.markers["high_res"]["2"]["ui"] = self._design_marker( + image_resolution="high_res", target_index="2", pen=blue_pen, method=self.parent.markers_changed + ) - self.parent.markers['low_res']['1']['ui'] = self._design_marker(image_resolution='low_res', - target_index='1', - pen=red_pen, - method=self.parent.markers_changed) + self.parent.markers["low_res"]["1"]["ui"] = self._design_marker( + image_resolution="low_res", target_index="1", pen=red_pen, method=self.parent.markers_changed + ) - self.parent.markers['low_res']['2']['ui'] = self._design_marker(image_resolution='low_res', - target_index='2', - pen=blue_pen, - method=self.parent.markers_changed) + self.parent.markers["low_res"]["2"]["ui"] = self._design_marker( + image_resolution="low_res", target_index="2", pen=blue_pen, method=self.parent.markers_changed + ) o_event = EventHandler(parent=self.parent) - o_event.update_target(image_resolution='high_res', target_index='1') - o_event.update_target(image_resolution='high_res', target_index='2') - o_event.update_target(image_resolution='low_res', target_index='1') - o_event.update_target(image_resolution='low_res', target_index='2') + o_event.update_target(image_resolution="high_res", target_index="1") + o_event.update_target(image_resolution="high_res", target_index="2") + o_event.update_target(image_resolution="low_res", target_index="1") + o_event.update_target(image_resolution="low_res", target_index="2") def update_profile_markers(self, with_profile=True): - pass \ No newline at end of file + pass diff --git a/notebooks/__code/overlay_images/interface_handler.py b/notebooks/__code/overlay_images/interface_handler.py index 82689bfa..742b952f 100755 --- a/notebooks/__code/overlay_images/interface_handler.py +++ b/notebooks/__code/overlay_images/interface_handler.py @@ -1,32 +1,27 @@ import os -from qtpy.QtWidgets import QMainWindow, QVBoxLayout, QProgressBar, QApplication + import numpy as np +from qtpy.QtWidgets import QMainWindow from __code import load_ui from __code._utilities.table_handler import TableHandler - -from __code.overlay_images.initialization import Initialization from __code.overlay_images.event_handler import EventHandler -from __code.overlay_images.get import Get from __code.overlay_images.export import Export +from __code.overlay_images.get import Get +from __code.overlay_images.initialization import Initialization class InterfaceHandler: - def __init__(self, working_dir=None, o_norm_high_res=None, o_norm_low_res=None): + assert len(o_norm_low_res.data["sample"]["file_name"]) == len(o_norm_high_res.data["sample"]["file_name"]) - assert len(o_norm_low_res.data['sample']['file_name']) == len(o_norm_high_res.data['sample']['file_name']) - - o_interface = Interface(o_norm_high_res=o_norm_high_res, - o_norm_low_res=o_norm_low_res, - working_dir=working_dir) + o_interface = Interface(o_norm_high_res=o_norm_high_res, o_norm_low_res=o_norm_low_res, working_dir=working_dir) o_interface.show() self.o_interface = o_interface class Interface(QMainWindow): - SINGLE_OFFSET = 1 # pixels DOUBLE_OFFSET = 5 # pixels @@ -43,59 +38,63 @@ class Interface(QMainWindow): # .... } dict_images_offset = None - current_live_image = {'high_res': None, 'low_res': None, 'overlay': None} - image_view = {'high_res': None, 'low_res': None, 'overlay': None} + current_live_image = {"high_res": None, "low_res": None, "overlay": None} + image_view = {"high_res": None, "low_res": None, "overlay": None} resize_and_overlay_images = [] - resize_hres_lres_images = {'hres': None, 'lres': None} + resize_hres_lres_images = {"hres": None, "lres": None} resize_and_overlay_modes = [] - markers = {'high_res': {'1': {'x': 100, 'y': 50, 'ui': None, 'target_ui': None}, - '2': {'x': 300, 'y': 50, 'ui': None, 'target_ui': None}, - }, - 'low_res': {'1': {'x': 100, 'y': 50, 'ui': None, 'target_ui': None}, - '2': {'x': 300, 'y': 50, 'ui': None, 'target_ui': None}, - }, - 'overlay': {'1': {'x': 500, 'y': 500, 'ui': None, 'target_ui': None, 'length': 200}, - }, - 'width': 50, - 'height': 50, - 'target': {'length': 10, - 'border': 10, - 'color': {'1': (255, 0, 0, 255, 1), - '2': (0, 0, 255, 255, 1), - 'horizontal': (255, 0, 0, 255, 2), - 'vertical': (0, 0, 255, 255, 2)}, - }, - } - - histogram_level = {'high_res': None, 'low_res': None, 'overlay': None} + markers = { + "high_res": { + "1": {"x": 100, "y": 50, "ui": None, "target_ui": None}, + "2": {"x": 300, "y": 50, "ui": None, "target_ui": None}, + }, + "low_res": { + "1": {"x": 100, "y": 50, "ui": None, "target_ui": None}, + "2": {"x": 300, "y": 50, "ui": None, "target_ui": None}, + }, + "overlay": { + "1": {"x": 500, "y": 500, "ui": None, "target_ui": None, "length": 200}, + }, + "width": 50, + "height": 50, + "target": { + "length": 10, + "border": 10, + "color": { + "1": (255, 0, 0, 255, 1), + "2": (0, 0, 255, 255, 1), + "horizontal": (255, 0, 0, 255, 2), + "vertical": (0, 0, 255, 255, 2), + }, + }, + } + + histogram_level = {"high_res": None, "low_res": None, "overlay": None} transparency = 0 # if any of the current parameter is different from this, the EXPORT button becomes unavailable - parameters_used_on_all_images = {'scaling_factor': 0, - 'xoffset': 0, - 'yoffset': 0} + parameters_used_on_all_images = {"scaling_factor": 0, "xoffset": 0, "yoffset": 0} def __init__(self, parent=None, o_norm_high_res=None, o_norm_low_res=None, working_dir=None): - self.o_norm_high_res = o_norm_high_res self.o_norm_low_res = o_norm_low_res self.working_dir = working_dir if working_dir else "./" - self.high_res_image_height, self.high_res_image_width = np.shape(o_norm_high_res.data['sample']['data'][0]) - self.low_res_image_height, self.low_res_image_width = np.shape(o_norm_low_res.data['sample']['data'][0]) + self.high_res_image_height, self.high_res_image_width = np.shape(o_norm_high_res.data["sample"]["data"][0]) + self.low_res_image_height, self.low_res_image_width = np.shape(o_norm_low_res.data["sample"]["data"][0]) self.rescaled_low_res_height, self.rescaled_low_res_width = None, None - self.list_of_high_res_filename = o_norm_high_res.data['sample']['file_name'] + self.list_of_high_res_filename = o_norm_high_res.data["sample"]["file_name"] - self.high_res_input_folder = os.path.dirname(o_norm_high_res.data['sample']['file_name'][0]) - self.low_res_input_folder = os.path.dirname(o_norm_low_res.data['sample']['file_name'][0]) + self.high_res_input_folder = os.path.dirname(o_norm_high_res.data["sample"]["file_name"][0]) + self.low_res_input_folder = os.path.dirname(o_norm_low_res.data["sample"]["file_name"][0]) super(Interface, self).__init__(parent) - ui_full_path = os.path.join(os.path.dirname(os.path.dirname(os.path.dirname(__file__))), - os.path.join('ui', - 'ui_overlay.ui')) + ui_full_path = os.path.join( + os.path.dirname(os.path.dirname(os.path.dirname(__file__))), os.path.join("ui", "ui_overlay.ui") + ) self.ui = load_ui(ui_full_path, baseinstance=self) self.setWindowTitle("Overlay images with scaling") @@ -127,28 +126,28 @@ def list_files_table_selection_changed(self): def markers_changed(self): o_get = Get(parent=self) - high_res_1_dict = o_get.marker_location(image_resolution='high_res', target_index='1') - self.markers['high_res']['1']['x'] = high_res_1_dict['x'] - self.markers['high_res']['1']['y'] = high_res_1_dict['y'] + high_res_1_dict = o_get.marker_location(image_resolution="high_res", target_index="1") + self.markers["high_res"]["1"]["x"] = high_res_1_dict["x"] + self.markers["high_res"]["1"]["y"] = high_res_1_dict["y"] - high_res_2_dict = o_get.marker_location(image_resolution='high_res', target_index='2') - self.markers['high_res']['2']['x'] = high_res_2_dict['x'] - self.markers['high_res']['2']['y'] = high_res_2_dict['y'] + high_res_2_dict = o_get.marker_location(image_resolution="high_res", target_index="2") + self.markers["high_res"]["2"]["x"] = high_res_2_dict["x"] + self.markers["high_res"]["2"]["y"] = high_res_2_dict["y"] - low_res_1_dict = o_get.marker_location(image_resolution='low_res', target_index='1') - self.markers['low_res']['1']['x'] = low_res_1_dict['x'] - self.markers['low_res']['1']['y'] = low_res_1_dict['y'] + low_res_1_dict = o_get.marker_location(image_resolution="low_res", target_index="1") + self.markers["low_res"]["1"]["x"] = low_res_1_dict["x"] + self.markers["low_res"]["1"]["y"] = low_res_1_dict["y"] - low_res_2_dict = o_get.marker_location(image_resolution='low_res', target_index='2') - self.markers['low_res']['2']['x'] = low_res_2_dict['x'] - self.markers['low_res']['2']['y'] = low_res_2_dict['y'] + low_res_2_dict = o_get.marker_location(image_resolution="low_res", target_index="2") + self.markers["low_res"]["2"]["x"] = low_res_2_dict["x"] + self.markers["low_res"]["2"]["y"] = low_res_2_dict["y"] o_event = EventHandler(parent=self) - o_event.update_target(image_resolution='high_res', target_index='1') - o_event.update_target(image_resolution='high_res', target_index='2') + o_event.update_target(image_resolution="high_res", target_index="1") + o_event.update_target(image_resolution="high_res", target_index="2") - o_event.update_target(image_resolution='low_res', target_index='1') - o_event.update_target(image_resolution='low_res', target_index='2') + o_event.update_target(image_resolution="low_res", target_index="1") + o_event.update_target(image_resolution="low_res", target_index="2") def overlay_stack_of_images_clicked(self): o_event = EventHandler(parent=self) @@ -269,9 +268,9 @@ def profile_tool_clicked(self): def profile_region_moved(self): o_get = Get(parent=self) - overlay_1_dict = o_get.marker_location(image_resolution='overlay', target_index='1') - self.markers['overlay']['1']['x'] = overlay_1_dict['x'] - self.markers['overlay']['1']['y'] = overlay_1_dict['y'] + overlay_1_dict = o_get.marker_location(image_resolution="overlay", target_index="1") + self.markers["overlay"]["1"]["x"] = overlay_1_dict["x"] + self.markers["overlay"]["1"]["y"] = overlay_1_dict["y"] o_event = EventHandler(parent=self) o_event.update_profile_markers_and_target(with_profile=True) diff --git a/notebooks/__code/overlay_images/overlay_images.py b/notebooks/__code/overlay_images/overlay_images.py index ac53b132..7adfac76 100755 --- a/notebooks/__code/overlay_images/overlay_images.py +++ b/notebooks/__code/overlay_images/overlay_images.py @@ -1,40 +1,41 @@ import glob -from NeuNorm.normalization import Normalization import os +from NeuNorm.normalization import Normalization + from __code.ipywe import fileselector class OverlayImages: - o_norm_high_reso = None o_norm_low_reso = None - current_data_type = 'high resolution' + current_data_type = "high resolution" - def __init__(self, working_dir=''): + def __init__(self, working_dir=""): self.working_dir = working_dir - def select_input_folder(self, data_type='high resolution'): + def select_input_folder(self, data_type="high resolution"): self.current_data_type = data_type - list_folder_widget = fileselector.FileSelectorPanel(instruction='select folder containing {} ' - 'images!'.format(data_type), - start_dir=self.working_dir, - type='directory', - next=self.folder_selected, - multiple=False) + list_folder_widget = fileselector.FileSelectorPanel( + instruction=f"select folder containing {data_type} " "images!", + start_dir=self.working_dir, + type="directory", + next=self.folder_selected, + multiple=False, + ) list_folder_widget.show() def folder_selected(self, folder_selected): self.working_dir = os.path.dirname(folder_selected) - list_files = glob.glob(folder_selected + '/*.tif*') + list_files = glob.glob(folder_selected + "/*.tif*") list_files.sort() self.load_data(list_files=list_files, data_type=self.current_data_type) - def load_data(self, list_files=None, data_type='high resolution'): + def load_data(self, list_files=None, data_type="high resolution"): o_norm = Normalization() o_norm.load(file=list_files, notebook=True) - if data_type == 'high resolution': + if data_type == "high resolution": self.o_norm_high_res = o_norm else: self.o_norm_low_res = o_norm diff --git a/notebooks/__code/panoramic_stitching/automatically_stitch.py b/notebooks/__code/panoramic_stitching/automatically_stitch.py index a7ea1367..50e6faed 100755 --- a/notebooks/__code/panoramic_stitching/automatically_stitch.py +++ b/notebooks/__code/panoramic_stitching/automatically_stitch.py @@ -1,11 +1,9 @@ -import numpy as np from qtpy import QtGui from __code.panoramic_stitching.get import Get class AutomaticallyStitch: - # get offset values of current group selected # collect metadata values for each image and calculate xoffset and yoffset in pixel versus motor value # loop through the other groups and calculate xoffset and yoffset using local motor value @@ -15,7 +13,7 @@ def __init__(self, parent=None): def run(self): nbr_group = len(self.parent.data_dictionary.keys()) - self.parent.eventProgress.setMaximum(nbr_group-1) + self.parent.eventProgress.setMaximum(nbr_group - 1) self.parent.eventProgress.setValue(0) self.parent.eventProgress.setVisible(True) @@ -31,8 +29,8 @@ def run(self): list_pixel_vs_motor_lift_axis_value = [] for _file_index, _file in enumerate(list_files): - long_axis_value = group_reference_data_dictionary[_file].metadata['MotLongAxis.RBV'] - lift_axis_value = group_reference_data_dictionary[_file].metadata['MotLiftTable.RBV'] + long_axis_value = group_reference_data_dictionary[_file].metadata["MotLongAxis.RBV"] + lift_axis_value = group_reference_data_dictionary[_file].metadata["MotLiftTable.RBV"] if _file_index == 0: long_axis_reference_value = long_axis_value @@ -42,8 +40,8 @@ def run(self): list_pixel_vs_motor_lift_axis_value.append(0) continue - xoffset = group_reference_offset_dictionary[_file]['xoffset'] - yoffset = group_reference_offset_dictionary[_file]['yoffset'] + xoffset = group_reference_offset_dictionary[_file]["xoffset"] + yoffset = group_reference_offset_dictionary[_file]["yoffset"] diff_long_axis = long_axis_value - long_axis_reference_value diff_lift_axis = lift_axis_value - lift_axis_reference_value @@ -63,7 +61,6 @@ def run(self): # loop through all the groups and apply correction for _group_index, _group in enumerate(self.parent.offset_dictionary.keys()): - # current group is the reference group if _group == group_selected: continue @@ -77,22 +74,21 @@ def run(self): # get xoffset and yofffset pixel/motor position of each image of reference group for _file_index, _file in enumerate(list_files): - if _file_index == 0: - long_axis_value_image_reference = data_dictionary[_file].metadata['MotLongAxis.RBV'] - lift_axis_value_image_reference = data_dictionary[_file].metadata['MotLiftTable.RBV'] + long_axis_value_image_reference = data_dictionary[_file].metadata["MotLongAxis.RBV"] + lift_axis_value_image_reference = data_dictionary[_file].metadata["MotLiftTable.RBV"] continue - long_axis_value = data_dictionary[_file].metadata['MotLongAxis.RBV'] - long_axis_value_image_reference - lift_axis_value = data_dictionary[_file].metadata['MotLiftTable.RBV'] - lift_axis_value_image_reference + long_axis_value = data_dictionary[_file].metadata["MotLongAxis.RBV"] - long_axis_value_image_reference + lift_axis_value = data_dictionary[_file].metadata["MotLiftTable.RBV"] - lift_axis_value_image_reference xoffset_of_this_file = int(long_axis_value * list_pixel_vs_motor_long_axis_value[_file_index]) yoffset_of_this_file = int(lift_axis_value * list_pixel_vs_motor_lift_axis_value[_file_index]) - group_offset_dictionary[_file]['xoffset'] = xoffset_of_this_file - group_offset_dictionary[_file]['yoffset'] = yoffset_of_this_file + group_offset_dictionary[_file]["xoffset"] = xoffset_of_this_file + group_offset_dictionary[_file]["yoffset"] = yoffset_of_this_file - self.parent.eventProgress.setValue(_group_index+1) + self.parent.eventProgress.setValue(_group_index + 1) QtGui.QGuiApplication.processEvents() self.parent.eventProgress.setVisible(False) diff --git a/notebooks/__code/panoramic_stitching/config.json b/notebooks/__code/panoramic_stitching/config.json index 6fa50b4c..919a2f5f 100755 --- a/notebooks/__code/panoramic_stitching/config.json +++ b/notebooks/__code/panoramic_stitching/config.json @@ -7,4 +7,4 @@ "key": 65044, "name": "MotLongAxis.RBV" } -} \ No newline at end of file +} diff --git a/notebooks/__code/panoramic_stitching/config_buttons.py b/notebooks/__code/panoramic_stitching/config_buttons.py index f85eabea..db128a6a 100755 --- a/notebooks/__code/panoramic_stitching/config_buttons.py +++ b/notebooks/__code/panoramic_stitching/config_buttons.py @@ -1,21 +1,15 @@ -button = {'left': {'pressed': 'left_arrow_v2_pressed.png', - 'released': 'left_arrow_v2_released.png'}, - 'right': {'pressed': 'right_arrow_v2_pressed.png', - 'released': 'right_arrow_v2_released.png'}, - 'left_left': {'pressed': 'left_left_arrow_v2_pressed.png', - 'released': 'left_left_arrow_v2_released.png'}, - 'right_right': {'pressed': 'right_right_arrow_v2_pressed.png', - 'released': 'right_right_arrow_v2_released.png'}, - 'up': {'pressed': 'up_arrow_v2_pressed.png', - 'released': 'up_arrow_v2_released.png'}, - 'down': {'pressed': 'down_arrow_v2_pressed.png', - 'released': 'down_arrow_v2_released.png'}, - 'up_up': {'pressed': 'up_up_arrow_v2_pressed.png', - 'released': 'up_up_arrow_v2_released.png'}, - 'down_down': {'pressed': 'down_down_arrow_v2_pressed.png', - 'released': 'down_down_arrow_v2_released.png'}, - 'remote_control': {'pressed': 'remote_control_pressed.png', - 'released': 'remote_control_released.png'}, - 'bring_to_focus': {'pressed': 'panoramic_bring_into_focus_pressed.png', - 'released': 'panoramic_bring_into_focus_released.png'}, - } +button = { + "left": {"pressed": "left_arrow_v2_pressed.png", "released": "left_arrow_v2_released.png"}, + "right": {"pressed": "right_arrow_v2_pressed.png", "released": "right_arrow_v2_released.png"}, + "left_left": {"pressed": "left_left_arrow_v2_pressed.png", "released": "left_left_arrow_v2_released.png"}, + "right_right": {"pressed": "right_right_arrow_v2_pressed.png", "released": "right_right_arrow_v2_released.png"}, + "up": {"pressed": "up_arrow_v2_pressed.png", "released": "up_arrow_v2_released.png"}, + "down": {"pressed": "down_arrow_v2_pressed.png", "released": "down_arrow_v2_released.png"}, + "up_up": {"pressed": "up_up_arrow_v2_pressed.png", "released": "up_up_arrow_v2_released.png"}, + "down_down": {"pressed": "down_down_arrow_v2_pressed.png", "released": "down_down_arrow_v2_released.png"}, + "remote_control": {"pressed": "remote_control_pressed.png", "released": "remote_control_released.png"}, + "bring_to_focus": { + "pressed": "panoramic_bring_into_focus_pressed.png", + "released": "panoramic_bring_into_focus_released.png", + }, +} diff --git a/notebooks/__code/panoramic_stitching/data_initialization.py b/notebooks/__code/panoramic_stitching/data_initialization.py index 90f8cad8..a452914e 100755 --- a/notebooks/__code/panoramic_stitching/data_initialization.py +++ b/notebooks/__code/panoramic_stitching/data_initialization.py @@ -1,18 +1,18 @@ -from collections import OrderedDict import copy -import numpy as np import json import os +from collections import OrderedDict + +import numpy as np THIS_FILE_PATH = os.path.dirname(__file__) -CONFIG_FILE = os.path.join(THIS_FILE_PATH, 'config.json') +CONFIG_FILE = os.path.join(THIS_FILE_PATH, "config.json") -X_METADATA_NAME = 'MotLongAxis.RBV' -Y_METADATA_NAME = 'MotLiftTable.RBV' +X_METADATA_NAME = "MotLongAxis.RBV" +Y_METADATA_NAME = "MotLiftTable.RBV" class DataInitialization: - def __init__(self, parent=None): self.parent = parent @@ -29,7 +29,6 @@ def offset_table(self): _dict = OrderedDict() previous_metadata = {} for _file_index, _file in enumerate(data_dictionary[_folder_name].keys()): - current_metadata = data_dictionary[_folder_name][_file].metadata if _file_index == 0: @@ -43,9 +42,7 @@ def offset_table(self): xoffset += image_width previous_metadata = copy.deepcopy(current_metadata) - _offset_dict = {'xoffset': xoffset, - 'yoffset': yoffset, - 'visible': True} + _offset_dict = {"xoffset": xoffset, "yoffset": yoffset, "visible": True} _dict[_file] = _offset_dict diff --git a/notebooks/__code/panoramic_stitching/event_handler.py b/notebooks/__code/panoramic_stitching/event_handler.py index 32a18f5c..3da6e17f 100755 --- a/notebooks/__code/panoramic_stitching/event_handler.py +++ b/notebooks/__code/panoramic_stitching/event_handler.py @@ -1,26 +1,25 @@ -import numpy as np +import copy +import json import os -from qtpy.QtWidgets import QHBoxLayout, QCheckBox, QSpacerItem, QSizePolicy, QWidget, QMenu, QFileDialog -from qtpy.QtWidgets import QApplication + +import numpy as np +import pyqtgraph as pg from qtpy import QtCore, QtGui from qtpy.QtGui import QIcon -import pyqtgraph as pg -import json -import copy +from qtpy.QtWidgets import QApplication, QCheckBox, QFileDialog, QHBoxLayout, QMenu, QSizePolicy, QSpacerItem, QWidget from __code._utilities.table_handler import TableHandler from __code._utilities.widgets_handler import WidgetsHandler -from __code.panoramic_stitching.get import Get -from __code.panoramic_stitching.image_handler import ImageHandler from __code.panoramic_stitching import config_buttons as config -from __code.panoramic_stitching.utilities import make_full_file_name_to_static_folder_of +from __code.panoramic_stitching.get import Get from __code.panoramic_stitching.gui_handler import GuiHandler -from __code.panoramic_stitching.status_message_config import StatusMessageStatus, show_status_message from __code.panoramic_stitching.gui_initialization import GuiInitialization +from __code.panoramic_stitching.image_handler import ImageHandler +from __code.panoramic_stitching.status_message_config import StatusMessageStatus, show_status_message +from __code.panoramic_stitching.utilities import make_full_file_name_to_static_folder_of class EventHandler: - def __init__(self, parent=None): self.parent = parent @@ -37,16 +36,15 @@ def save_table_offset_of_this_cell(self, row=-1, column=-1, state=-1): offset_value = int(o_table.get_item_str_from_cell(row=row, column=column)) if column == 1: - offset_dictionary[folder_selected][file_name]['xoffset'] = offset_value + offset_dictionary[folder_selected][file_name]["xoffset"] = offset_value elif column == 2: - offset_dictionary[folder_selected][file_name]['yoffset'] = offset_value + offset_dictionary[folder_selected][file_name]["yoffset"] = offset_value elif column == 3: is_visible = True if state == 2 else False - offset_dictionary[folder_selected][file_name]['visible'] = is_visible + offset_dictionary[folder_selected][file_name]["visible"] = is_visible self.parent.offset_dictionary = offset_dictionary def list_folder_combobox_value_changed(self, new_folder_selected=None): - self.parent.ui.tableWidget.blockSignals(True) update_image = True @@ -66,49 +64,42 @@ def list_folder_combobox_value_changed(self, new_folder_selected=None): editable_columns_boolean = [False, True, True, True] for _row_index, _file in enumerate(list_files): - o_table.insert_empty_row(_row_index) offset_file_entry = group_offset_dictionary[_file] - xoffset = offset_file_entry['xoffset'] - yoffset = offset_file_entry['yoffset'] + xoffset = offset_file_entry["xoffset"] + yoffset = offset_file_entry["yoffset"] list_items = [_file, xoffset, yoffset] for _column_index, _text in enumerate(list_items): - if _row_index == 0: editable_flag = False else: editable_flag = editable_columns_boolean[_column_index] - o_table.insert_item(row=_row_index, - column=_column_index, - value=_text, - editable=editable_flag) + o_table.insert_item(row=_row_index, column=_column_index, value=_text, editable=editable_flag) # checkbox to turn on/off visibility of the row hori_layout = QHBoxLayout() spacer_item_left = QSpacerItem(408, 20, QSizePolicy.Expanding, QSizePolicy.Expanding) hori_layout.addItem(spacer_item_left) check_box = QCheckBox() - if offset_file_entry['visible']: + if offset_file_entry["visible"]: _state = QtCore.Qt.Checked else: _state = QtCore.Qt.Unchecked check_box.setCheckState(_state) - check_box.stateChanged.connect(lambda state=0, row=_row_index: - self.parent.visibility_checkbox_changed(state=state, - row=row)) + check_box.stateChanged.connect( + lambda state=0, row=_row_index: self.parent.visibility_checkbox_changed(state=state, row=row) + ) hori_layout.addWidget(check_box) spacer_item_right = QSpacerItem(408, 20, QSizePolicy.Expanding, QSizePolicy.Expanding) hori_layout.addItem(spacer_item_right) cell_widget = QWidget() cell_widget.setLayout(hori_layout) - o_table.insert_widget(row=_row_index, - column=3, - widget=cell_widget) + o_table.insert_widget(row=_row_index, column=3, widget=cell_widget) o_table.select_row(0) @@ -149,14 +140,16 @@ def check_status_of_from_to_checkbox(self): state_button = True self.enabled_all_manual_widgets(state=state_button) - def roi_box_changed(self, roi_id=None, ): - region = roi_id.getArraySlice(self.parent.current_live_image, - self.parent.ui.image_view.imageItem) + def roi_box_changed( + self, + roi_id=None, + ): + region = roi_id.getArraySlice(self.parent.current_live_image, self.parent.ui.image_view.imageItem) x0 = region[0][0].start y0 = region[0][1].start - return {'x': x0, 'y': y0} + return {"x": x0, "y": y0} def from_roi_box_changed(self): self.parent.from_roi = self.roi_box_changed(roi_id=self.parent.from_roi_id) @@ -179,12 +172,12 @@ def from_to_button_pushed(self): from_roi = self.parent.from_roi to_roi = self.parent.to_roi - from_x = from_roi['x'] - to_x = to_roi['x'] + from_x = from_roi["x"] + to_x = to_roi["x"] delta_x = from_x - to_x - from_y = from_roi['y'] - to_y = to_roi['y'] + from_y = from_roi["y"] + to_y = to_roi["y"] delta_y = from_y - to_y o_table = TableHandler(table_ui=self.parent.ui.tableWidget) @@ -214,32 +207,32 @@ def horizontal_profile(self, enabled=True): horizontal_profile = self.parent.horizontal_profile if enabled: - if horizontal_profile['id']: - self.parent.ui.image_view.addItem(horizontal_profile['id']) + if horizontal_profile["id"]: + self.parent.ui.image_view.addItem(horizontal_profile["id"]) else: - x0 = horizontal_profile['x0'] - x1 = horizontal_profile['x1'] - y = horizontal_profile['y'] - width = horizontal_profile['width'] + x0 = horizontal_profile["x0"] + x1 = horizontal_profile["x1"] + y = horizontal_profile["y"] + width = horizontal_profile["width"] - roi = pg.ROI([x0, y], [x1-x0, width]) + roi = pg.ROI([x0, y], [x1 - x0, width]) roi.addScaleHandle([0.5, 0], [0, 0]) self.parent.ui.image_view.addItem(roi) - self.parent.horizontal_profile['id'] = roi + self.parent.horizontal_profile["id"] = roi roi.sigRegionChanged.connect(self.parent.horizontal_profile_changed) self.parent.horizontal_profile_changed() else: - if horizontal_profile['id']: - self.parent.ui.image_view.removeItem(horizontal_profile['id']) + if horizontal_profile["id"]: + self.parent.ui.image_view.removeItem(horizontal_profile["id"]) self.parent.horizontal_profile_plot.axes.clear() - #self.parent.horizontal_profile_plot.draw() + # self.parent.horizontal_profile_plot.draw() def horizontal_slider_width_changed(self, width=1): - self.parent.horizontal_profile['width'] = width - length, _ = self.parent.horizontal_profile['id'].size() - self.parent.horizontal_profile['id'].setSize((length, width)) + self.parent.horizontal_profile["width"] = width + length, _ = self.parent.horizontal_profile["id"].size() + self.parent.horizontal_profile["id"].setSize((length, width)) self.parent.horizontal_profile_changed() def vertical_profile(self, enabled=True): @@ -248,42 +241,42 @@ def vertical_profile(self, enabled=True): vertical_profile = self.parent.vertical_profile if enabled: - if vertical_profile['id']: - self.parent.ui.image_view.addItem(vertical_profile['id']) + if vertical_profile["id"]: + self.parent.ui.image_view.addItem(vertical_profile["id"]) else: - x = vertical_profile['x'] - y0 = vertical_profile['y0'] - y1 = vertical_profile['y1'] - width = vertical_profile['width'] + x = vertical_profile["x"] + y0 = vertical_profile["y0"] + y1 = vertical_profile["y1"] + width = vertical_profile["width"] - roi = pg.ROI([x, y0], [width, y1-y0]) + roi = pg.ROI([x, y0], [width, y1 - y0]) roi.addScaleHandle([0, 0.5], [0, 0]) self.parent.ui.image_view.addItem(roi) - self.parent.vertical_profile['id'] = roi + self.parent.vertical_profile["id"] = roi roi.sigRegionChanged.connect(self.parent.vertical_profile_changed) self.parent.vertical_profile_changed() else: - if vertical_profile['id']: - self.parent.ui.image_view.removeItem(vertical_profile['id']) + if vertical_profile["id"]: + self.parent.ui.image_view.removeItem(vertical_profile["id"]) self.parent.vertical_profile_plot.axes.clear() - #self.parent.vertical_profile_plot.draw() + # self.parent.vertical_profile_plot.draw() def vertical_slider_width_changed(self, width=1): - self.parent.vertical_profile['width'] = width - _, length = self.parent.vertical_profile['id'].size() - self.parent.vertical_profile['id'].setSize((width, length)) + self.parent.vertical_profile["width"] = width + _, length = self.parent.vertical_profile["id"].size() + self.parent.vertical_profile["id"].setSize((width, length)) self.parent.vertical_profile_changed() - def manual_offset_changed(self, direction='horizontal', nbr_pixel=1): + def manual_offset_changed(self, direction="horizontal", nbr_pixel=1): """ apply in the select row the value of the pixel offset :param: change_direction: 'horizontal' or 'vertical' nbr_pixel: 1 by default, but can be any negative or positive values """ - column = 1 if direction == 'horizontal' else 2 + column = 1 if direction == "horizontal" else 2 o_table = TableHandler(table_ui=self.parent.ui.tableWidget) row_selected = o_table.get_row_selected() @@ -295,14 +288,16 @@ def manual_offset_changed(self, direction='horizontal', nbr_pixel=1): self.parent.table_of_offset_cell_changed(row_selected, column) def enabled_all_manual_widgets(self, state=True): - list_ui = [self.parent.ui.left_button, - self.parent.ui.left_left_button, - self.parent.ui.right_button, - self.parent.ui.right_right_button, - self.parent.ui.up_button, - self.parent.ui.up_up_button, - self.parent.ui.down_button, - self.parent.ui.down_down_button] + list_ui = [ + self.parent.ui.left_button, + self.parent.ui.left_left_button, + self.parent.ui.right_button, + self.parent.ui.right_right_button, + self.parent.ui.up_button, + self.parent.ui.up_up_button, + self.parent.ui.down_button, + self.parent.ui.down_down_button, + ] for _ui in list_ui: _ui.setEnabled(state) @@ -331,22 +326,23 @@ def table_right_click(self): elif action == save_as_table: self.export_table() elif action == save_table: - self.export_table(table_file_name=self.parent.save_as_table_file_name ) + self.export_table(table_file_name=self.parent.save_as_table_file_name) elif action == reset_table: self.reset_table() def load_table(self): - table_file_name = QFileDialog.getOpenFileName(self.parent, - directory=self.parent.working_dir, - caption="Select table file ...", - filter="Table (*.json)", - initialFilter="Table") + table_file_name = QFileDialog.getOpenFileName( + self.parent, + directory=self.parent.working_dir, + caption="Select table file ...", + filter="Table (*.json)", + initialFilter="Table", + ) QApplication.processEvents() table_file_name = table_file_name[0] if table_file_name: - - with open(table_file_name, "r") as read_file: + with open(table_file_name) as read_file: table_data = json.load(read_file) o_table = TableHandler(table_ui=self.parent.ui.tableWidget) @@ -354,29 +350,25 @@ def load_table(self): input_table_nbr_row = len(table_data.keys()) if table_ui_nbr_row != input_table_nbr_row: - show_status_message(parent=self.parent, - message=f"Size of table and loaded file DO NOT MATCH!", - status=StatusMessageStatus.error, - duration_s=10) + show_status_message( + parent=self.parent, + message="Size of table and loaded file DO NOT MATCH!", + status=StatusMessageStatus.error, + duration_s=10, + ) return - WidgetsHandler.block_signals(ui=o_table.table_ui, - status=True) + WidgetsHandler.block_signals(ui=o_table.table_ui, status=True) for _row in np.arange(table_ui_nbr_row): xoffset, yoffset = table_data[str(_row)] - o_table.set_item_with_str(row=_row, - column=1, - cell_str=xoffset) + o_table.set_item_with_str(row=_row, column=1, cell_str=xoffset) self.save_table_offset_of_this_cell(_row, 1) - o_table.set_item_with_str(row=_row, - column=2, - cell_str=yoffset) + o_table.set_item_with_str(row=_row, column=2, cell_str=yoffset) self.save_table_offset_of_this_cell(_row, 2) QApplication.processEvents() - WidgetsHandler.block_signals(ui=o_table.table_ui, - status=False) + WidgetsHandler.block_signals(ui=o_table.table_ui, status=False) o_pano = ImageHandler(parent=self.parent) o_pano.update_current_panoramic_image() @@ -385,10 +377,12 @@ def load_table(self): self.parent.horizontal_profile_changed() self.parent.vertical_profile_changed() - show_status_message(parent=self.parent, - message=f"Loaded {table_file_name} ...", - status=StatusMessageStatus.ready, - duration_s=10) + show_status_message( + parent=self.parent, + message=f"Loaded {table_file_name} ...", + status=StatusMessageStatus.ready, + duration_s=10, + ) def reset_table(self): self.offset_dictionary = copy.deepcopy(self.parent.offset_dictionary_for_reset) @@ -404,23 +398,27 @@ def reset_table(self): def export_table(self, table_file_name=""): if table_file_name == "": - table_file_name = QFileDialog.getSaveFileName(self.parent, - caption="Enter or select file name to export table data ...", - directory=self.parent.working_dir, - filter="Table (*.json);;All (*.*)", - initialFilter="Table") + table_file_name = QFileDialog.getSaveFileName( + self.parent, + caption="Enter or select file name to export table data ...", + directory=self.parent.working_dir, + filter="Table (*.json);;All (*.*)", + initialFilter="Table", + ) QApplication.processEvents() table_file_name = table_file_name[0] if table_file_name: table_dict = self.make_table_dict() - with open(table_file_name, 'w') as json_file: + with open(table_file_name, "w") as json_file: json.dump(table_dict, json_file) - show_status_message(parent=self.parent, - message=f"Table saved in {table_file_name}", - status=StatusMessageStatus.ready, - duration_s=10) + show_status_message( + parent=self.parent, + message=f"Table saved in {table_file_name}", + status=StatusMessageStatus.ready, + duration_s=10, + ) self.parent.save_as_table_file_name = table_file_name self.parent.ui.actionSave_Table.setEnabled(True) @@ -432,8 +430,7 @@ def make_table_dict(self): nbr_column = 2 my_dictionary = {} for _row in np.arange(nbr_row): - local_list = [o_table.get_item_str_from_cell(_row, _column) - for _column in (np.arange(nbr_column)+1)] + local_list = [o_table.get_item_str_from_cell(_row, _column) for _column in (np.arange(nbr_column) + 1)] my_dictionary[str(_row)] = local_list return my_dictionary @@ -442,13 +439,11 @@ def update_remote_ui(self): self.parent.remote_control_id.check_previous_next_buttons_status() @staticmethod - def button_pressed(ui=None, name='left'): - full_file = make_full_file_name_to_static_folder_of(config.button[name]['pressed']) + def button_pressed(ui=None, name="left"): + full_file = make_full_file_name_to_static_folder_of(config.button[name]["pressed"]) ui.setIcon(QIcon(full_file)) @staticmethod - def button_released(ui=None, name='left'): - full_file = make_full_file_name_to_static_folder_of(config.button[name]['released']) + def button_released(ui=None, name="left"): + full_file = make_full_file_name_to_static_folder_of(config.button[name]["released"]) ui.setIcon(QIcon(full_file)) - - diff --git a/notebooks/__code/panoramic_stitching/export.py b/notebooks/__code/panoramic_stitching/export.py index 455f6711..c07f1139 100755 --- a/notebooks/__code/panoramic_stitching/export.py +++ b/notebooks/__code/panoramic_stitching/export.py @@ -1,21 +1,20 @@ import os -from qtpy.QtWidgets import QFileDialog, QDialog, QVBoxLayout -from qtpy import QtGui -import numpy as np from collections import OrderedDict -import pyqtgraph as pg +import numpy as np +import pyqtgraph as pg from NeuNorm.normalization import Normalization -from __code import load_ui +from qtpy import QtGui +from qtpy.QtWidgets import QDialog, QFileDialog, QVBoxLayout +from __code import load_ui from __code.file_handler import make_or_reset_folder +from __code.panoramic_stitching.get import Get from __code.panoramic_stitching.image_handler import HORIZONTAL_MARGIN, VERTICAL_MARGIN from __code.panoramic_stitching.stitching_algorithms import StitchingAlgorithmType -from __code.panoramic_stitching.get import Get class Export: - def __init__(self, parent=None): self.parent = parent @@ -25,11 +24,12 @@ def run(self): o_dialog.show() def select_output_folder(self): - output_folder = QFileDialog.getExistingDirectory(self.parent, - directory=self.parent.working_dir, - caption="Select where the folder containing the " - "panoramic images will be created!", - options=QFileDialog.ShowDirsOnly) + output_folder = QFileDialog.getExistingDirectory( + self.parent, + directory=self.parent.working_dir, + caption="Select where the folder containing the " "panoramic images will be created!", + options=QFileDialog.ShowDirsOnly, + ) if output_folder: self.parent.ui.setEnabled(False) QtGui.QGuiApplication.processEvents() @@ -55,10 +55,10 @@ def create_panoramic_images(self, output_folder=None): stitching_algorithm = self.parent.stitching_algorithm for _group_index, _group_name in enumerate(data_dictionary.keys()): - self.parent.ui.statusbar.setStyleSheet("color: blue") - self.parent.ui.statusbar.showMessage("Creating panoramic image of {} using algo. {} in progress...".format( - _group_name, self.parent.stitching_algorithm)) + self.parent.ui.statusbar.showMessage( + f"Creating panoramic image of {_group_name} using algo. {self.parent.stitching_algorithm} in progress..." + ) QtGui.QGuiApplication.processEvents() panoramic_image = np.zeros((panoramic_height, panoramic_width)) @@ -66,44 +66,50 @@ def create_panoramic_images(self, output_folder=None): offset_dictionary_of_group = offset_dictionary[_group_name] for _file_index, _file in enumerate(data_dictionary_of_group.keys()): - - yoffset = offset_dictionary_of_group[_file]['yoffset'] - xoffset = offset_dictionary_of_group[_file]['xoffset'] + yoffset = offset_dictionary_of_group[_file]["yoffset"] + xoffset = offset_dictionary_of_group[_file]["xoffset"] image = data_dictionary_of_group[_file].data if _file_index == 0: - panoramic_image[yoffset+VERTICAL_MARGIN: yoffset+image_height+VERTICAL_MARGIN, - xoffset+HORIZONTAL_MARGIN: xoffset+image_width+HORIZONTAL_MARGIN] = image + panoramic_image[ + yoffset + VERTICAL_MARGIN : yoffset + image_height + VERTICAL_MARGIN, + xoffset + HORIZONTAL_MARGIN : xoffset + image_width + HORIZONTAL_MARGIN, + ] = image continue temp_big_image = np.zeros((panoramic_height, panoramic_width)) - temp_big_image[yoffset+VERTICAL_MARGIN: yoffset+image_height+VERTICAL_MARGIN, - xoffset+HORIZONTAL_MARGIN: xoffset+image_width+HORIZONTAL_MARGIN] = image + temp_big_image[ + yoffset + VERTICAL_MARGIN : yoffset + image_height + VERTICAL_MARGIN, + xoffset + HORIZONTAL_MARGIN : xoffset + image_width + HORIZONTAL_MARGIN, + ] = image # where_panoramic_image_has_value_only = np.where((panoramic_image != 0) & (temp_big_image == 0)) where_temp_big_image_has_value_only = np.where((temp_big_image != 0) & (panoramic_image == 0)) where_both_images_overlap = np.where((panoramic_image != 0) & (temp_big_image != 0)) if stitching_algorithm == StitchingAlgorithmType.minimum: - - panoramic_image[where_temp_big_image_has_value_only] = \ - temp_big_image[where_temp_big_image_has_value_only] - panoramic_image[where_both_images_overlap] = np.minimum(panoramic_image[where_both_images_overlap], - temp_big_image[where_both_images_overlap]) + panoramic_image[where_temp_big_image_has_value_only] = temp_big_image[ + where_temp_big_image_has_value_only + ] + panoramic_image[where_both_images_overlap] = np.minimum( + panoramic_image[where_both_images_overlap], temp_big_image[where_both_images_overlap] + ) elif stitching_algorithm == StitchingAlgorithmType.maximum: - - panoramic_image[where_temp_big_image_has_value_only] = \ - temp_big_image[where_temp_big_image_has_value_only] - panoramic_image[where_both_images_overlap] = np.maximum(panoramic_image[where_both_images_overlap], - temp_big_image[where_both_images_overlap]) + panoramic_image[where_temp_big_image_has_value_only] = temp_big_image[ + where_temp_big_image_has_value_only + ] + panoramic_image[where_both_images_overlap] = np.maximum( + panoramic_image[where_both_images_overlap], temp_big_image[where_both_images_overlap] + ) elif stitching_algorithm == StitchingAlgorithmType.mean: - - panoramic_image[where_temp_big_image_has_value_only] = \ - temp_big_image[where_temp_big_image_has_value_only] - panoramic_image[where_both_images_overlap] = (panoramic_image[where_both_images_overlap] + - temp_big_image[where_both_images_overlap])/2 + panoramic_image[where_temp_big_image_has_value_only] = temp_big_image[ + where_temp_big_image_has_value_only + ] + panoramic_image[where_both_images_overlap] = ( + panoramic_image[where_both_images_overlap] + temp_big_image[where_both_images_overlap] + ) / 2 panoramic_images_dict[_group_name] = panoramic_image @@ -115,11 +121,10 @@ def create_panoramic_images(self, output_folder=None): self.parent.eventProgress.setVisible(False) def export_images(self, output_folder=None): - stitching_algorithm = self.parent.stitching_algorithm - new_folder_name = os.path.basename(self.parent.working_dir) + "_panoramic_{}".format(stitching_algorithm) + new_folder_name = os.path.basename(self.parent.working_dir) + f"_panoramic_{stitching_algorithm}" self.parent.ui.statusbar.setStyleSheet("color: blue") - self.parent.ui.statusbar.showMessage("Exporting images in folder {}".format(new_folder_name)) + self.parent.ui.statusbar.showMessage(f"Exporting images in folder {new_folder_name}") QtGui.QGuiApplication.processEvents() new_output_folder_name = os.path.join(output_folder, new_folder_name) @@ -134,28 +139,28 @@ def export_images(self, output_folder=None): o_norm = Normalization() o_norm.load(data=list_data) - o_norm.data['sample']['filename'] = list_filename - o_norm.export(new_output_folder_name, data_type='sample') + o_norm.data["sample"]["filename"] = list_filename + o_norm.export(new_output_folder_name, data_type="sample") self.parent.ui.statusbar.setStyleSheet("color: green") - self.parent.ui.statusbar.showMessage("{} has been created!".format(new_output_folder_name), 10000) # 10s + self.parent.ui.statusbar.showMessage(f"{new_output_folder_name} has been created!", 10000) # 10s class SelectStitchingAlgorithm(QDialog): - stitching_algorithm = StitchingAlgorithmType.minimum def __init__(self, top_parent=None, parent=None): self.parent = parent self.top_parent = top_parent QDialog.__init__(self, parent=top_parent) - ui_full_path = os.path.join(os.path.dirname(os.path.dirname(os.path.dirname(__file__))), - os.path.join('ui', 'ui_panoramic_stitching_algorithms.ui')) + ui_full_path = os.path.join( + os.path.dirname(os.path.dirname(os.path.dirname(__file__))), + os.path.join("ui", "ui_panoramic_stitching_algorithms.ui"), + ) self.ui = load_ui(ui_full_path, baseinstance=self) self.init_widgets() self.display_plot() def display_plot(self): - self.top_parent.ui.statusbar.setStyleSheet("color: blue") self.top_parent.ui.statusbar.showMessage("Calculating previews of current working group ...") QtGui.QGuiApplication.processEvents() @@ -181,44 +186,56 @@ def display_plot(self): self.top_parent.eventProgress.setVisible(True) for _file_index, _file in enumerate(data_dictionary_of_group.keys()): - - yoffset = offset_dictionary_of_group[_file]['yoffset'] - xoffset = offset_dictionary_of_group[_file]['xoffset'] + yoffset = offset_dictionary_of_group[_file]["yoffset"] + xoffset = offset_dictionary_of_group[_file]["xoffset"] image = data_dictionary_of_group[_file].data if _file_index == 0: - minimum_panoramic_image[yoffset + VERTICAL_MARGIN: yoffset + image_height + VERTICAL_MARGIN, - xoffset + HORIZONTAL_MARGIN: xoffset + image_width + HORIZONTAL_MARGIN] = image - maximum_panoramic_image[yoffset + VERTICAL_MARGIN: yoffset + image_height + VERTICAL_MARGIN, - xoffset + HORIZONTAL_MARGIN: xoffset + image_width + HORIZONTAL_MARGIN] = image - mean_panoramic_image[yoffset + VERTICAL_MARGIN: yoffset + image_height + VERTICAL_MARGIN, - xoffset + HORIZONTAL_MARGIN: xoffset + image_width + HORIZONTAL_MARGIN] = image + minimum_panoramic_image[ + yoffset + VERTICAL_MARGIN : yoffset + image_height + VERTICAL_MARGIN, + xoffset + HORIZONTAL_MARGIN : xoffset + image_width + HORIZONTAL_MARGIN, + ] = image + maximum_panoramic_image[ + yoffset + VERTICAL_MARGIN : yoffset + image_height + VERTICAL_MARGIN, + xoffset + HORIZONTAL_MARGIN : xoffset + image_width + HORIZONTAL_MARGIN, + ] = image + mean_panoramic_image[ + yoffset + VERTICAL_MARGIN : yoffset + image_height + VERTICAL_MARGIN, + xoffset + HORIZONTAL_MARGIN : xoffset + image_width + HORIZONTAL_MARGIN, + ] = image continue temp_big_image = np.zeros((panoramic_height, panoramic_width)) - temp_big_image[yoffset + VERTICAL_MARGIN: yoffset + image_height + VERTICAL_MARGIN, - xoffset + HORIZONTAL_MARGIN: xoffset + image_width + HORIZONTAL_MARGIN] = image + temp_big_image[ + yoffset + VERTICAL_MARGIN : yoffset + image_height + VERTICAL_MARGIN, + xoffset + HORIZONTAL_MARGIN : xoffset + image_width + HORIZONTAL_MARGIN, + ] = image # where_panoramic_image_has_value_only = np.where((panoramic_image != 0) & (temp_big_image == 0)) where_temp_big_image_has_value_only = np.where((temp_big_image != 0) & (minimum_panoramic_image == 0)) where_both_images_overlap = np.where((minimum_panoramic_image != 0) & (temp_big_image != 0)) # minimum algorithm - minimum_panoramic_image[where_temp_big_image_has_value_only] = \ - temp_big_image[where_temp_big_image_has_value_only] - minimum_panoramic_image[where_both_images_overlap] = np.minimum(minimum_panoramic_image[ - where_both_images_overlap], - temp_big_image[where_both_images_overlap]) + minimum_panoramic_image[where_temp_big_image_has_value_only] = temp_big_image[ + where_temp_big_image_has_value_only + ] + minimum_panoramic_image[where_both_images_overlap] = np.minimum( + minimum_panoramic_image[where_both_images_overlap], temp_big_image[where_both_images_overlap] + ) # maximum algorithm - maximum_panoramic_image[where_temp_big_image_has_value_only] = \ - temp_big_image[where_temp_big_image_has_value_only] - maximum_panoramic_image[where_both_images_overlap] = np.maximum(maximum_panoramic_image[where_both_images_overlap], - temp_big_image[where_both_images_overlap]) + maximum_panoramic_image[where_temp_big_image_has_value_only] = temp_big_image[ + where_temp_big_image_has_value_only + ] + maximum_panoramic_image[where_both_images_overlap] = np.maximum( + maximum_panoramic_image[where_both_images_overlap], temp_big_image[where_both_images_overlap] + ) # mean algorithm - mean_panoramic_image[where_temp_big_image_has_value_only] = \ - temp_big_image[where_temp_big_image_has_value_only] - mean_panoramic_image[where_both_images_overlap] = (mean_panoramic_image[where_both_images_overlap] + - temp_big_image[where_both_images_overlap]) / 2 + mean_panoramic_image[where_temp_big_image_has_value_only] = temp_big_image[ + where_temp_big_image_has_value_only + ] + mean_panoramic_image[where_both_images_overlap] = ( + mean_panoramic_image[where_both_images_overlap] + temp_big_image[where_both_images_overlap] + ) / 2 self.top_parent.eventProgress.setValue(_file_index + 1) QtGui.QGuiApplication.processEvents() @@ -232,22 +249,19 @@ def display_plot(self): QtGui.QGuiApplication.processEvents() def init_widgets(self): - self.reset_frame_background() self.ui.minimum_frame.setStyleSheet("background-color: blue;") # minimum pyqtgraph - self.ui.minimum_image_view = pg.ImageView(view=pg.PlotItem(), - name='minimum') + self.ui.minimum_image_view = pg.ImageView(view=pg.PlotItem(), name="minimum") self.ui.minimum_image_view.ui.roiBtn.hide() self.ui.minimum_image_view.ui.menuBtn.hide() minimum_layout = QVBoxLayout() minimum_layout.addWidget(self.ui.minimum_image_view) self.ui.minimum_counts_widget.setLayout(minimum_layout) - + # maximum pyqtgraph - self.ui.maximum_image_view = pg.ImageView(view=pg.PlotItem(), - name='maximum') + self.ui.maximum_image_view = pg.ImageView(view=pg.PlotItem(), name="maximum") self.ui.maximum_image_view.ui.roiBtn.hide() self.ui.maximum_image_view.ui.menuBtn.hide() maximum_layout = QVBoxLayout() @@ -255,8 +269,7 @@ def init_widgets(self): self.ui.maximum_counts_widget.setLayout(maximum_layout) # minimum pyqtgraph - self.ui.mean_image_view = pg.ImageView(view=pg.PlotItem(), - name='mean') + self.ui.mean_image_view = pg.ImageView(view=pg.PlotItem(), name="mean") self.ui.mean_image_view.ui.roiBtn.hide() self.ui.mean_image_view.ui.menuBtn.hide() mean_layout = QVBoxLayout() @@ -269,32 +282,32 @@ def init_widgets(self): self.ui.maximum_image_view.view.getViewBox().setXLink("minimum") def use_minimum_counts_clicked(self): - self.activate_radio_button(button_to_activate='minimum_counts') + self.activate_radio_button(button_to_activate="minimum_counts") def use_maximum_counts_clicked(self): - self.activate_radio_button(button_to_activate='maximum_counts') + self.activate_radio_button(button_to_activate="maximum_counts") def use_mean_counts_clicked(self): - self.activate_radio_button(button_to_activate='mean_counts') + self.activate_radio_button(button_to_activate="mean_counts") def reset_frame_background(self): self.ui.minimum_frame.setStyleSheet("") self.ui.maximum_frame.setStyleSheet("") self.ui.mean_frame.setStyleSheet("") - def activate_radio_button(self, button_to_activate='minimum_counts'): + def activate_radio_button(self, button_to_activate="minimum_counts"): self.ui.use_minimum_radioButton.setChecked(False) self.ui.use_maximum_radioButton.setChecked(False) self.ui.use_mean_radioButton.setChecked(False) self.reset_frame_background() - if button_to_activate == 'minimum_counts': + if button_to_activate == "minimum_counts": self.ui.use_minimum_radioButton.setChecked(True) self.ui.minimum_frame.setStyleSheet("background-color: blue;") - elif button_to_activate == 'maximum_counts': + elif button_to_activate == "maximum_counts": self.ui.use_maximum_radioButton.setChecked(True) self.ui.maximum_frame.setStyleSheet("background-color: blue;") - elif button_to_activate == 'mean_counts': + elif button_to_activate == "mean_counts": self.ui.use_mean_radioButton.setChecked(True) self.ui.mean_frame.setStyleSheet("background-color: blue;") diff --git a/notebooks/__code/panoramic_stitching/get.py b/notebooks/__code/panoramic_stitching/get.py index 341a0247..a9c96dd4 100755 --- a/notebooks/__code/panoramic_stitching/get.py +++ b/notebooks/__code/panoramic_stitching/get.py @@ -2,10 +2,8 @@ class Get: - def __init__(self, parent=None): self.parent = parent def get_combobox_folder_selected(self): return os.path.basename(self.parent.ui.list_folders_combobox.currentText()) - diff --git a/notebooks/__code/panoramic_stitching/gui_handler.py b/notebooks/__code/panoramic_stitching/gui_handler.py index 940f9f79..a0c9a233 100755 --- a/notebooks/__code/panoramic_stitching/gui_handler.py +++ b/notebooks/__code/panoramic_stitching/gui_handler.py @@ -1,18 +1,21 @@ class GuiHandler: - def __init__(self, parent=None): self.parent = parent def enabled_vertical_profile_widgets(self, enabled): - list_verti_ui = [self.parent.ui.vertical_profile_plot_widget, - self.parent.ui.vertical_profile_width_slider, - self.parent.ui.vertical_profile_label] + list_verti_ui = [ + self.parent.ui.vertical_profile_plot_widget, + self.parent.ui.vertical_profile_width_slider, + self.parent.ui.vertical_profile_label, + ] for _ui in list_verti_ui: _ui.setEnabled(enabled) def enabled_horizontal_profile_widgets(self, enabled): - list_hori_ui = [self.parent.ui.horizontal_profile_plot_widget, - self.parent.ui.horizontal_profile_width_slider, - self.parent.ui.horizontal_profile_label] + list_hori_ui = [ + self.parent.ui.horizontal_profile_plot_widget, + self.parent.ui.horizontal_profile_width_slider, + self.parent.ui.horizontal_profile_label, + ] for _ui in list_hori_ui: _ui.setEnabled(enabled) diff --git a/notebooks/__code/panoramic_stitching/gui_initialization.py b/notebooks/__code/panoramic_stitching/gui_initialization.py index 7b8b57ba..0e0d1cd9 100755 --- a/notebooks/__code/panoramic_stitching/gui_initialization.py +++ b/notebooks/__code/panoramic_stitching/gui_initialization.py @@ -1,29 +1,27 @@ import os + +import matplotlib import pyqtgraph as pg -from qtpy.QtWidgets import QVBoxLayout, QProgressBar from qtpy.QtGui import QIcon -import matplotlib +from qtpy.QtWidgets import QProgressBar, QVBoxLayout -matplotlib.use('Qt5Agg') +matplotlib.use("Qt5Agg") from matplotlib.backends.backend_qt5agg import NavigationToolbar2QT as NavigationToolbar -from __code.panoramic_stitching.mplcanvas import MplCanvas from __code._utilities.table_handler import TableHandler -from __code.panoramic_stitching.utilities import make_full_file_name_to_static_folder_of, set_widgets_size from __code.panoramic_stitching.config_buttons import button from __code.panoramic_stitching.gui_handler import GuiHandler +from __code.panoramic_stitching.mplcanvas import MplCanvas +from __code.panoramic_stitching.utilities import make_full_file_name_to_static_folder_of, set_widgets_size class GuiInitialization: - button_size = {'single_arrow' : {'width' : 50, - 'height': 50}, - 'double_arrow' : {'width' : 65, - 'height': 50}, - 'single_vertical_arrow': {'width' : 50, - 'height': 50}, - 'double_vertical_arrow': {'width' : 50, - 'height': 65}, - } + button_size = { + "single_arrow": {"width": 50, "height": 50}, + "double_arrow": {"width": 65, "height": 50}, + "single_vertical_arrow": {"width": 50, "height": 50}, + "double_vertical_arrow": {"width": 50, "height": 65}, + } def __init__(self, parent=None): self.parent = parent @@ -39,8 +37,7 @@ def before_loading_data(self): self.block_signals(False) def block_signals(self, status): - list_ui = [self.parent.ui.list_folders_combobox, - self.parent.ui.tableWidget] + list_ui = [self.parent.ui.list_folders_combobox, self.parent.ui.tableWidget] for _ui in list_ui: _ui.blockSignals(status) @@ -68,10 +65,12 @@ def _matplotlib(parent=None, widget=None): widget.setLayout(layout) return sc - self.parent.horizontal_profile_plot = _matplotlib(parent=self.parent, - widget=self.parent.ui.horizontal_profile_plot_widget) - self.parent.vertical_profile_plot = _matplotlib(parent=self.parent, - widget=self.parent.ui.vertical_profile_plot_widget) + self.parent.horizontal_profile_plot = _matplotlib( + parent=self.parent, widget=self.parent.ui.horizontal_profile_plot_widget + ) + self.parent.vertical_profile_plot = _matplotlib( + parent=self.parent, widget=self.parent.ui.vertical_profile_plot_widget + ) def widgets(self): # list_folders @@ -83,64 +82,60 @@ def widgets(self): # remote control remote_control = make_full_file_name_to_static_folder_of("remote_control_released.png") self.parent.ui.remote_control_widget.setIcon(QIcon(remote_control)) - set_widgets_size(widgets=[self.parent.ui.remote_control_widget], - width=self.button_size['single_arrow']['width'], - height=self.button_size['single_arrow']['height']) + set_widgets_size( + widgets=[self.parent.ui.remote_control_widget], + width=self.button_size["single_arrow"]["width"], + height=self.button_size["single_arrow"]["height"], + ) # move buttons _file_path = os.path.dirname(__file__) - up_up_arrow_file = make_full_file_name_to_static_folder_of(button['up_up'] - ['released']) + up_up_arrow_file = make_full_file_name_to_static_folder_of(button["up_up"]["released"]) self.parent.ui.up_up_button.setIcon(QIcon(up_up_arrow_file)) - up_arrow_file = make_full_file_name_to_static_folder_of(button['up'] - ['released']) + up_arrow_file = make_full_file_name_to_static_folder_of(button["up"]["released"]) self.parent.ui.up_button.setIcon(QIcon(up_arrow_file)) - left_left_arrow_file = make_full_file_name_to_static_folder_of(button[ - 'left_left'] - ['released']) + left_left_arrow_file = make_full_file_name_to_static_folder_of(button["left_left"]["released"]) self.parent.ui.left_left_button.setIcon(QIcon(left_left_arrow_file)) - left_arrow_file = make_full_file_name_to_static_folder_of(button['left'] - ['released']) + left_arrow_file = make_full_file_name_to_static_folder_of(button["left"]["released"]) self.parent.ui.left_button.setIcon(QIcon(left_arrow_file)) - right_arrow_file = make_full_file_name_to_static_folder_of(button['right'] - ['released']) + right_arrow_file = make_full_file_name_to_static_folder_of(button["right"]["released"]) self.parent.ui.right_button.setIcon(QIcon(right_arrow_file)) - right_right_arrow_file = make_full_file_name_to_static_folder_of(button['right_right'] - ['released']) + right_right_arrow_file = make_full_file_name_to_static_folder_of(button["right_right"]["released"]) self.parent.ui.right_right_button.setIcon(QIcon(right_right_arrow_file)) - down_arrow_file = make_full_file_name_to_static_folder_of(button['down'] - ['released']) + down_arrow_file = make_full_file_name_to_static_folder_of(button["down"]["released"]) self.parent.ui.down_button.setIcon(QIcon(down_arrow_file)) - down_down_arrow_file = make_full_file_name_to_static_folder_of(button[ - 'down_down'] - ['released']) + down_down_arrow_file = make_full_file_name_to_static_folder_of(button["down_down"]["released"]) self.parent.ui.down_down_button.setIcon(QIcon(down_down_arrow_file)) - list_ui = [self.parent.ui.left_button, - self.parent.ui.right_button] - set_widgets_size(widgets=list_ui, - width=self.button_size['single_arrow']['width'], - height=self.button_size['single_arrow']['height']) - - list_ui = [self.parent.ui.left_left_button, - self.parent.ui.right_right_button] - set_widgets_size(widgets=list_ui, - width=self.button_size['double_arrow']['width'], - height=self.button_size['double_arrow']['height']) - - list_ui = [self.parent.ui.up_button, - self.parent.ui.down_button] - set_widgets_size(widgets=list_ui, - width=self.button_size['single_vertical_arrow']['width'], - height=self.button_size['single_vertical_arrow']['height']) - - list_ui = [self.parent.ui.up_up_button, - self.parent.ui.down_down_button] - set_widgets_size(widgets=list_ui, - width=self.button_size['double_vertical_arrow']['width'], - height=self.button_size['double_vertical_arrow']['height']) + list_ui = [self.parent.ui.left_button, self.parent.ui.right_button] + set_widgets_size( + widgets=list_ui, + width=self.button_size["single_arrow"]["width"], + height=self.button_size["single_arrow"]["height"], + ) + + list_ui = [self.parent.ui.left_left_button, self.parent.ui.right_right_button] + set_widgets_size( + widgets=list_ui, + width=self.button_size["double_arrow"]["width"], + height=self.button_size["double_arrow"]["height"], + ) + + list_ui = [self.parent.ui.up_button, self.parent.ui.down_button] + set_widgets_size( + widgets=list_ui, + width=self.button_size["single_vertical_arrow"]["width"], + height=self.button_size["single_vertical_arrow"]["height"], + ) + + list_ui = [self.parent.ui.up_up_button, self.parent.ui.down_down_button] + set_widgets_size( + widgets=list_ui, + width=self.button_size["double_vertical_arrow"]["width"], + height=self.button_size["double_vertical_arrow"]["height"], + ) state_hori_matplotlib = self.parent.ui.enable_horizontal_profile_checkbox.isChecked() o_gui = GuiHandler(parent=self.parent) @@ -149,16 +144,15 @@ def widgets(self): state_verti_matplotlib = self.parent.ui.enable_vertical_profile_checkbox.isChecked() o_gui.enabled_vertical_profile_widgets(enabled=state_verti_matplotlib) - profile_sliders = [self.parent.ui.horizontal_profile_width_slider, - self.parent.ui.vertical_profile_width_slider] + profile_sliders = [self.parent.ui.horizontal_profile_width_slider, self.parent.ui.vertical_profile_width_slider] for _slider in profile_sliders: - _slider.setMinimum(self.parent.width_profile['min']) - _slider.setMaximum(self.parent.width_profile['max']) - _slider.setValue(self.parent.width_profile['default']) + _slider.setMinimum(self.parent.width_profile["min"]) + _slider.setMaximum(self.parent.width_profile["max"]) + _slider.setValue(self.parent.width_profile["default"]) def table(self): column_sizes = [900, 100, 100, 100] - column_names = ['File name', 'xoffset (px)', 'yoffset (px)', 'visible?'] + column_names = ["File name", "xoffset (px)", "yoffset (px)", "visible?"] o_table = TableHandler(table_ui=self.parent.tableWidget) o_table.set_column_sizes(column_sizes=column_sizes) o_table.set_column_names(column_names=column_names) diff --git a/notebooks/__code/panoramic_stitching/image_handler.py b/notebooks/__code/panoramic_stitching/image_handler.py index c8eba6a4..cbd1a08a 100755 --- a/notebooks/__code/panoramic_stitching/image_handler.py +++ b/notebooks/__code/panoramic_stitching/image_handler.py @@ -1,6 +1,6 @@ import numpy as np -from qtpy import QtGui import pyqtgraph as pg +from qtpy import QtGui from __code._utilities.table_handler import TableHandler from __code.panoramic_stitching.get import Get @@ -16,7 +16,6 @@ class ImageHandler: - def __init__(self, parent=None): self.parent = parent @@ -32,8 +31,10 @@ def update_contour_plot(self): folder_selected = o_get.get_combobox_folder_selected() offset_dictionary = self.parent.offset_dictionary[folder_selected] - roi = {'x0': offset_dictionary[name_of_file_selected]['xoffset'], - 'y0': offset_dictionary[name_of_file_selected]['yoffset']} + roi = { + "x0": offset_dictionary[name_of_file_selected]["xoffset"], + "y0": offset_dictionary[name_of_file_selected]["yoffset"], + } if row_selected == 0: _color = COLOR_LOCK @@ -44,15 +45,17 @@ def update_contour_plot(self): _pen = QtGui.QPen() _pen.setColor(_color) _pen.setWidthF(0.01) - _roi_id = pg.ROI([roi['x0'] + HORIZONTAL_MARGIN, roi['y0'] + VERTICAL_MARGIN], - [self.parent.image_width, self.parent.image_height], - pen=_pen, scaleSnap=True, - movable=False) + _roi_id = pg.ROI( + [roi["x0"] + HORIZONTAL_MARGIN, roi["y0"] + VERTICAL_MARGIN], + [self.parent.image_width, self.parent.image_height], + pen=_pen, + scaleSnap=True, + movable=False, + ) self.parent.ui.image_view.addItem(_roi_id) self.parent.contour_image_roi_id = _roi_id def update_current_panoramic_image(self): - _view = self.parent.ui.image_view.getView() _view_box = _view.getViewBox() _state = _view_box.getState() @@ -78,26 +81,32 @@ def update_current_panoramic_image(self): panoramic_image = None for _file_index, _file in enumerate(data_dictionary.keys()): - if _file_index == 0: - panoramic_image = np.zeros((max_yoffset + image_height + 2*VERTICAL_MARGIN, - max_xoffset + image_width + 2*HORIZONTAL_MARGIN)) + panoramic_image = np.zeros( + ( + max_yoffset + image_height + 2 * VERTICAL_MARGIN, + max_xoffset + image_width + 2 * HORIZONTAL_MARGIN, + ) + ) _image = data_dictionary[_file].data - is_visible = offset_dictionary[_file]['visible'] + is_visible = offset_dictionary[_file]["visible"] if not is_visible: continue if _file_index == 0: - panoramic_image[VERTICAL_MARGIN:image_height+VERTICAL_MARGIN, - HORIZONTAL_MARGIN:image_width+HORIZONTAL_MARGIN] = _image + panoramic_image[ + VERTICAL_MARGIN : image_height + VERTICAL_MARGIN, + HORIZONTAL_MARGIN : image_width + HORIZONTAL_MARGIN, + ] = _image else: - xoffset = offset_dictionary[_file]['xoffset'] - yoffset = offset_dictionary[_file]['yoffset'] + xoffset = offset_dictionary[_file]["xoffset"] + yoffset = offset_dictionary[_file]["yoffset"] - panoramic_image[yoffset+VERTICAL_MARGIN: yoffset+image_height+VERTICAL_MARGIN, - xoffset+HORIZONTAL_MARGIN: xoffset+image_width+HORIZONTAL_MARGIN] = \ - _image + panoramic_image[ + yoffset + VERTICAL_MARGIN : yoffset + image_height + VERTICAL_MARGIN, + xoffset + HORIZONTAL_MARGIN : xoffset + image_width + HORIZONTAL_MARGIN, + ] = _image self.parent.panoramic_images[folder_selected] = panoramic_image @@ -108,38 +117,32 @@ def update_current_panoramic_image(self): _view_box.setState(_state) if not first_update: - _histo_widget.setLevels(self.parent.histogram_level[0], - self.parent.histogram_level[1]) + _histo_widget.setLevels(self.parent.histogram_level[0], self.parent.histogram_level[1]) def get_max_offset(self, folder_selected=None): offset_dictionary = self.parent.offset_dictionary[folder_selected] - list_xoffset = [offset_dictionary[_key]['xoffset'] for _key in offset_dictionary.keys()] - list_yoffset = [offset_dictionary[_key]['yoffset'] for _key in offset_dictionary.keys()] + list_xoffset = [offset_dictionary[_key]["xoffset"] for _key in offset_dictionary.keys()] + list_yoffset = [offset_dictionary[_key]["yoffset"] for _key in offset_dictionary.keys()] return int(np.max(list_yoffset)), int(np.max(list_xoffset)) def update_from_to_roi(self, state=False): - if self.parent.from_roi_id: self.remove_all_from_to_widgets() if state: from_roi = self.parent.from_roi - x = from_roi['x'] - y = from_roi['y'] - self.parent.from_roi_id = pg.ROI([x, y], - [ROI_WIDTH, ROI_HEIGHT], - scaleSnap=True) + x = from_roi["x"] + y = from_roi["y"] + self.parent.from_roi_id = pg.ROI([x, y], [ROI_WIDTH, ROI_HEIGHT], scaleSnap=True) self.parent.ui.image_view.addItem(self.parent.from_roi_id) self.parent.from_roi_id.sigRegionChanged.connect(self.parent.from_roi_box_changed) to_roi = self.parent.to_roi - x = to_roi['x'] - y = to_roi['y'] - self.parent.to_roi_id = pg.ROI([x, y], - [ROI_WIDTH, ROI_HEIGHT], - scaleSnap=True) + x = to_roi["x"] + y = to_roi["y"] + self.parent.to_roi_id = pg.ROI([x, y], [ROI_WIDTH, ROI_HEIGHT], scaleSnap=True) self.parent.ui.image_view.addItem(self.parent.to_roi_id) self.parent.to_roi_id.sigRegionChanged.connect(self.parent.to_roi_box_changed) @@ -159,8 +162,8 @@ def remove_all_from_to_widgets(self): def update_validity_of_from_to_button(self): # check that from ROI is inside the selected image from_roi = self.parent.from_roi - x = from_roi['x'] + ROI_WIDTH/2 - y = from_roi['y'] + ROI_HEIGHT/2 + x = from_roi["x"] + ROI_WIDTH / 2 + y = from_roi["y"] + ROI_HEIGHT / 2 o_get = Get(parent=self.parent) folder_selected = o_get.get_combobox_folder_selected() @@ -171,12 +174,15 @@ def update_validity_of_from_to_button(self): offset_dictionary = self.parent.offset_dictionary[folder_selected] - xoffset_of_selected_image = offset_dictionary[name_of_file_selected]['xoffset'] + HORIZONTAL_MARGIN - yoffset_of_selected_image = offset_dictionary[name_of_file_selected]['yoffset'] + VERTICAL_MARGIN + xoffset_of_selected_image = offset_dictionary[name_of_file_selected]["xoffset"] + HORIZONTAL_MARGIN + yoffset_of_selected_image = offset_dictionary[name_of_file_selected]["yoffset"] + VERTICAL_MARGIN - if (x < xoffset_of_selected_image) or (y < yoffset_of_selected_image) or \ - (x > xoffset_of_selected_image + self.parent.image_width) or \ - (y > yoffset_of_selected_image + self.parent.image_height): + if ( + (x < xoffset_of_selected_image) + or (y < yoffset_of_selected_image) + or (x > xoffset_of_selected_image + self.parent.image_width) + or (y > yoffset_of_selected_image + self.parent.image_height) + ): from_to_button_status = False from_to_error_label = True else: @@ -190,10 +196,10 @@ def update_validity_of_from_to_button(self): def update_from_to_line_label_changed(self): from_to_roi = self.parent.from_to_roi - x0 = from_to_roi['x0'] - y0 = from_to_roi['y0'] - x1 = from_to_roi['x1'] - y1 = from_to_roi['y1'] + x0 = from_to_roi["x0"] + y0 = from_to_roi["y0"] + x1 = from_to_roi["x1"] + y1 = from_to_roi["y1"] self.parent.from_label_id.setPos(x1, y1) self.parent.to_label_id.setPos(x0, y0) @@ -205,8 +211,8 @@ def update_cross_line(self, roi_cross_id=None, roi=None): pos = [] adj = [] - x = roi['x'] - y = roi['y'] + x = roi["x"] + y = roi["y"] # vertical guide pos.append([x + ROI_WIDTH / 2, y - ROI_HEIGHT / 2]) @@ -222,17 +228,13 @@ def update_cross_line(self, roi_cross_id=None, roi=None): adj = np.array(adj) line_color = (255, 0, 0, 255, 1) - lines = np.array([line_color for _ in np.arange(len(pos))], - dtype=[('red', np.ubyte), ('green', np.ubyte), - ('blue', np.ubyte), ('alpha', np.ubyte), - ('width', float)]) + lines = np.array( + [line_color for _ in np.arange(len(pos))], + dtype=[("red", np.ubyte), ("green", np.ubyte), ("blue", np.ubyte), ("alpha", np.ubyte), ("width", float)], + ) line_view_binning = pg.GraphItem() self.parent.ui.image_view.addItem(line_view_binning) - line_view_binning.setData(pos=pos, - adj=adj, - pen=lines, - symbol=None, - pxMode=False) + line_view_binning.setData(pos=pos, adj=adj, pen=lines, symbol=None, pxMode=False) return line_view_binning @@ -240,22 +242,20 @@ def update_from_cross_line(self): from_roi_cross_id = self.parent.from_roi_cross_id from_roi = self.parent.from_roi - self.parent.from_roi_cross_id = self.update_cross_line(roi_cross_id=from_roi_cross_id, - roi=from_roi) + self.parent.from_roi_cross_id = self.update_cross_line(roi_cross_id=from_roi_cross_id, roi=from_roi) def update_to_cross_line(self): to_roi_cross_id = self.parent.to_roi_cross_id to_roi = self.parent.to_roi - self.parent.to_roi_cross_id = self.update_cross_line(roi_cross_id=to_roi_cross_id, - roi=to_roi) + self.parent.to_roi_cross_id = self.update_cross_line(roi_cross_id=to_roi_cross_id, roi=to_roi) def update_label(self, label_id=None, roi=None, text=""): if label_id: self.parent.ui.image_view.removeItem(label_id) - x = roi['x'] + ROI_WIDTH - y = roi['y'] + x = roi["x"] + ROI_WIDTH + y = roi["y"] _text_id = pg.TextItem(text=text) _text_id.setPos(x, y) diff --git a/notebooks/__code/panoramic_stitching/load_data.py b/notebooks/__code/panoramic_stitching/load_data.py index 2fc673f7..2efd83e1 100755 --- a/notebooks/__code/panoramic_stitching/load_data.py +++ b/notebooks/__code/panoramic_stitching/load_data.py @@ -1,23 +1,23 @@ import glob -from collections import OrderedDict -import os import json -from qtpy import QtGui -import numpy as np +import os +from collections import OrderedDict +import numpy as np from NeuNorm.normalization import Normalization +from qtpy import QtGui from __code._utilities.error import NoFilesFound - THIS_FILE_PATH = os.path.dirname(__file__) -CONFIG_FILE = os.path.join(THIS_FILE_PATH, 'config.json') +CONFIG_FILE = os.path.join(THIS_FILE_PATH, "config.json") class MetadataData: """ object that will store the data (2D array) of each image and metadata """ + data = None metadata = None @@ -31,7 +31,6 @@ def keep_only_metadata_defined_in_config(self, list_key=None): class LoadData: - master_dictionary = None metadata_key_to_keep = None @@ -47,8 +46,8 @@ def load_config(self): self.metadata_key_to_keep = [] self.metadata_name_to_keep = [] for key in config.keys(): - self.metadata_key_to_keep.append(config[key]['key']) - self.metadata_name_to_keep.append(config[key]['name']) + self.metadata_key_to_keep.append(config[key]["key"]) + self.metadata_name_to_keep.append(config[key]["name"]) def run(self): nbr_folder = len(self.list_folders) @@ -64,24 +63,24 @@ def run(self): list_files.sort() o_norm.load(file=list_files, notebook=False) - if not o_norm.data['sample']['data']: + if not o_norm.data["sample"]["data"]: raise NoFilesFound # record size of images if _folder_index == 0: - self.parent.image_height, self.parent.image_width = np.shape(o_norm.data['sample']['data'][0]) + self.parent.image_height, self.parent.image_width = np.shape(o_norm.data["sample"]["data"][0]) local_dict = OrderedDict() for _index, _file in enumerate(list_files): _metadatadata = MetadataData() - _metadatadata.data = o_norm.data['sample']['data'][_index] - _metadatadata.metadata = o_norm.data['sample']['metadata'][_index] + _metadatadata.data = o_norm.data["sample"]["data"][_index] + _metadatadata.metadata = o_norm.data["sample"]["metadata"][_index] _metadatadata.keep_only_metadata_defined_in_config(list_key=self.metadata_key_to_keep) local_dict[_file] = _metadatadata master_dict[os.path.basename(_folder)] = local_dict - self.parent.eventProgress.setValue(_folder_index+1) + self.parent.eventProgress.setValue(_folder_index + 1) QtGui.QGuiApplication.processEvents() self.parent.working_dir = os.path.dirname(self.list_folders[0]) diff --git a/notebooks/__code/panoramic_stitching/mplcanvas.py b/notebooks/__code/panoramic_stitching/mplcanvas.py index 154a4c75..e6df14c3 100755 --- a/notebooks/__code/panoramic_stitching/mplcanvas.py +++ b/notebooks/__code/panoramic_stitching/mplcanvas.py @@ -1,13 +1,12 @@ import matplotlib -matplotlib.use('Qt5Agg') +matplotlib.use("Qt5Agg") from matplotlib.backends.backend_qt5agg import FigureCanvasQTAgg from matplotlib.figure import Figure class MplCanvas(FigureCanvasQTAgg): - def __init__(self, parent=None, width=5, height=4, dpi=100): fig = Figure(figsize=(width, height), dpi=dpi) self.axes = fig.add_subplot(111) diff --git a/notebooks/__code/panoramic_stitching/panoramic_stitching.py b/notebooks/__code/panoramic_stitching/panoramic_stitching.py index 60a03cd5..5fad98e4 100755 --- a/notebooks/__code/panoramic_stitching/panoramic_stitching.py +++ b/notebooks/__code/panoramic_stitching/panoramic_stitching.py @@ -1,67 +1,68 @@ -from IPython.display import display, HTML -from qtpy.QtWidgets import QMainWindow import os + import inflect +from IPython.display import HTML, display +from qtpy.QtWidgets import QMainWindow -from __code.ipywe import fileselector +from __code import load_ui +from __code._utilities.error import NoFilesFound from __code._utilities.folder import get_list_of_folders_with_specified_file_type_and_same_number_of_files from __code._utilities.string import format_html_message -from __code._utilities.error import NoFilesFound -from __code import load_ui - -from __code.panoramic_stitching.gui_initialization import GuiInitialization +from __code.ipywe import fileselector +from __code.panoramic_stitching.automatically_stitch import AutomaticallyStitch from __code.panoramic_stitching.data_initialization import DataInitialization -from __code.panoramic_stitching.load_data import LoadData -from __code.panoramic_stitching.image_handler import ImageHandler from __code.panoramic_stitching.event_handler import EventHandler -from __code.panoramic_stitching.profile import Profile -from __code.panoramic_stitching.automatically_stitch import AutomaticallyStitch from __code.panoramic_stitching.export import Export -from __code.panoramic_stitching.image_handler import HORIZONTAL_MARGIN, VERTICAL_MARGIN +from __code.panoramic_stitching.gui_initialization import GuiInitialization +from __code.panoramic_stitching.image_handler import HORIZONTAL_MARGIN, VERTICAL_MARGIN, ImageHandler +from __code.panoramic_stitching.load_data import LoadData +from __code.panoramic_stitching.profile import Profile from __code.panoramic_stitching.remote_control_handler import RemoteControlHandler from __code.panoramic_stitching.stitching_algorithms import StitchingAlgorithmType -SIMPLE_MANUAL_PIXEL_CHANGE = 1 # pixel -DOUBLE_MANUAL_PIXEL_CHANGE = 5 # pixel +SIMPLE_MANUAL_PIXEL_CHANGE = 1 # pixel +DOUBLE_MANUAL_PIXEL_CHANGE = 5 # pixel class PanoramicStitching: - - def __init__(self, working_dir=''): + def __init__(self, working_dir=""): self.working_dir = working_dir self.file_extension = ["tiff", "tif"] def select_input_folders(self): - self.list_folder_widget = fileselector.FileSelectorPanel(instruction='select all the folders of images to ' - 'stitch', - start_dir=self.working_dir, - type='directory', - next=self.folder_selected, - multiple=True) + self.list_folder_widget = fileselector.FileSelectorPanel( + instruction="select all the folders of images to " "stitch", + start_dir=self.working_dir, + type="directory", + next=self.folder_selected, + multiple=True, + ) self.list_folder_widget.show() def folder_selected(self, folder_selected): - final_list_folders, list_folders_rejected = \ + final_list_folders, list_folders_rejected = ( get_list_of_folders_with_specified_file_type_and_same_number_of_files( - list_of_folders_to_check=folder_selected, - file_extension=self.file_extension) + list_of_folders_to_check=folder_selected, file_extension=self.file_extension + ) + ) if not final_list_folders: - str_list_ext = ", ".join(self.file_extension) - display(format_html_message(pre_message="None of the folder selected contains the file of extension " - "requested ({})".format(str_list_ext), - spacer="")) + display( + format_html_message( + pre_message="None of the folder selected contains the file of extension " + f"requested ({str_list_ext})", + spacer="", + ) + ) return final_list_folders.sort() nbr_folder = len(final_list_folders) - display(format_html_message(pre_message="Notebook is about to work with {} folders!".format(nbr_folder), - spacer="")) + display(format_html_message(pre_message=f"Notebook is about to work with {nbr_folder} folders!", spacer="")) # gui initialization - o_interface = Interface(list_folders=final_list_folders, - list_folders_rejected=list_folders_rejected) + o_interface = Interface(list_folders=final_list_folders, list_folders_rejected=list_folders_rejected) o_interface.show() try: o_interface.load_data() @@ -74,7 +75,6 @@ def folder_selected(self, folder_selected): class Interface(QMainWindow): - save_as_table_file_name = "" remote_control_id = None stitching_algorithm = StitchingAlgorithmType.minimum @@ -117,43 +117,53 @@ class Interface(QMainWindow): # from_to_roi_id = None from_label_id = None to_label_id = None - from_to_roi = {'x0': 2000 + HORIZONTAL_MARGIN, 'y0': 50 + VERTICAL_MARGIN, - 'x1': 50 + HORIZONTAL_MARGIN, 'y1': 50 + VERTICAL_MARGIN} + from_to_roi = { + "x0": 2000 + HORIZONTAL_MARGIN, + "y0": 50 + VERTICAL_MARGIN, + "x1": 50 + HORIZONTAL_MARGIN, + "y1": 50 + VERTICAL_MARGIN, + } # new implementation from_roi_id = None from_roi_cross_id = None to_roi_id = None to_roi_cross_id = None - from_roi = {'x': 2000 + HORIZONTAL_MARGIN, 'y': 100 + VERTICAL_MARGIN} - to_roi = {'x': 100 + HORIZONTAL_MARGIN, 'y': 50 + VERTICAL_MARGIN} - - width_profile = {'min': 1, - 'max': 300, - 'default': 10} - - horizontal_profile = {'id': None, - 'x0': 500 + HORIZONTAL_MARGIN, - 'y': 200 + VERTICAL_MARGIN, - 'x1': 2500 + HORIZONTAL_MARGIN, - 'width': width_profile['default']} - vertical_profile = {'id': None, - 'x': 300 + HORIZONTAL_MARGIN, - 'y0': 70 + VERTICAL_MARGIN, - 'y1': 2000 + VERTICAL_MARGIN, - 'width': width_profile['default']} + from_roi = {"x": 2000 + HORIZONTAL_MARGIN, "y": 100 + VERTICAL_MARGIN} + to_roi = {"x": 100 + HORIZONTAL_MARGIN, "y": 50 + VERTICAL_MARGIN} + + width_profile = {"min": 1, "max": 300, "default": 10} + + horizontal_profile = { + "id": None, + "x0": 500 + HORIZONTAL_MARGIN, + "y": 200 + VERTICAL_MARGIN, + "x1": 2500 + HORIZONTAL_MARGIN, + "width": width_profile["default"], + } + vertical_profile = { + "id": None, + "x": 300 + HORIZONTAL_MARGIN, + "y0": 70 + VERTICAL_MARGIN, + "y1": 2000 + VERTICAL_MARGIN, + "width": width_profile["default"], + } def __init__(self, parent=None, list_folders=None, list_folders_rejected=None): - self.list_folders = list_folders - display(format_html_message(pre_message="Check UI that popped up \ + display( + format_html_message( + pre_message="Check UI that popped up \ (maybe hidden behind this browser!)", - spacer="")) + spacer="", + ) + ) super(Interface, self).__init__(parent) - ui_full_path = os.path.join(os.path.dirname(os.path.dirname(os.path.dirname(__file__))), - os.path.join('ui', - 'ui_panoramic_stitching_manual.ui')) + ui_full_path = os.path.join( + os.path.dirname(os.path.dirname(os.path.dirname(__file__))), + os.path.join("ui", "ui_panoramic_stitching_manual.ui"), + ) self.ui = load_ui(ui_full_path, baseinstance=self) self.setWindowTitle("Semi-Automatic Panoramic Stitching") @@ -162,15 +172,19 @@ def __init__(self, parent=None, list_folders=None, list_folders_rejected=None): o_init.before_loading_data() if list_folders_rejected: - nbr_folders_rejected = len(list_folders_rejected) if nbr_folders_rejected == 1: have_string = " has" else: have_string = " have" p = inflect.engine() - self.ui.statusbar.showMessage("{} ".format(nbr_folders_rejected) + p.plural("folder", - nbr_folders_rejected) + have_string + " been rejected and not loaded!", 10000) + self.ui.statusbar.showMessage( + f"{nbr_folders_rejected} " + + p.plural("folder", nbr_folders_rejected) + + have_string + + " been rejected and not loaded!", + 10000, + ) self.ui.statusbar.setStyleSheet("color: red") # menu buttons @@ -190,8 +204,7 @@ def load_data(self): # load data and metadata self.ui.setEnabled(False) - o_load = LoadData(parent=self, - list_folders=self.list_folders) + o_load = LoadData(parent=self, list_folders=self.list_folders) o_load.run() def initialization_after_loading_data(self): @@ -212,11 +225,11 @@ def initialization_after_loading_data(self): # event handler def remote_control_widget_pressed(self): - EventHandler.button_pressed(ui=self.ui.remote_control_widget, name='remote_control') + EventHandler.button_pressed(ui=self.ui.remote_control_widget, name="remote_control") RemoteControlHandler(parent=self) def remote_control_widget_released(self): - EventHandler.button_released(ui=self.ui.remote_control_widget, name='remote_control') + EventHandler.button_released(ui=self.ui.remote_control_widget, name="remote_control") def list_folder_combobox_value_changed(self, new_folder_selected=None): o_event = EventHandler(parent=self) @@ -294,76 +307,76 @@ def enable_vertical_profile_checked(self, state): o_event.vertical_profile(enabled=state) def left_left_button_pressed(self): - EventHandler.button_pressed(ui=self.ui.left_left_button, name='left_left') + EventHandler.button_pressed(ui=self.ui.left_left_button, name="left_left") o_event = EventHandler(parent=self) - o_event.manual_offset_changed(direction='horizontal', nbr_pixel=-DOUBLE_MANUAL_PIXEL_CHANGE) + o_event.manual_offset_changed(direction="horizontal", nbr_pixel=-DOUBLE_MANUAL_PIXEL_CHANGE) self.horizontal_profile_changed() def left_left_button_released(self): - EventHandler.button_released(ui=self.ui.left_left_button, name='left_left') + EventHandler.button_released(ui=self.ui.left_left_button, name="left_left") def left_button_pressed(self): - EventHandler.button_pressed(ui=self.ui.left_button, name='left') + EventHandler.button_pressed(ui=self.ui.left_button, name="left") o_event = EventHandler(parent=self) - o_event.manual_offset_changed(direction='horizontal', nbr_pixel=-SIMPLE_MANUAL_PIXEL_CHANGE) + o_event.manual_offset_changed(direction="horizontal", nbr_pixel=-SIMPLE_MANUAL_PIXEL_CHANGE) self.horizontal_profile_changed() def left_button_released(self): - EventHandler.button_released(ui=self.ui.left_button, name='left') + EventHandler.button_released(ui=self.ui.left_button, name="left") def right_right_button_pressed(self): - EventHandler.button_pressed(ui=self.ui.right_right_button, name='right_right') + EventHandler.button_pressed(ui=self.ui.right_right_button, name="right_right") o_event = EventHandler(parent=self) - o_event.manual_offset_changed(direction='horizontal', nbr_pixel=DOUBLE_MANUAL_PIXEL_CHANGE) + o_event.manual_offset_changed(direction="horizontal", nbr_pixel=DOUBLE_MANUAL_PIXEL_CHANGE) self.horizontal_profile_changed() def right_right_button_released(self): - EventHandler.button_released(ui=self.ui.right_right_button, name='right_right') + EventHandler.button_released(ui=self.ui.right_right_button, name="right_right") def right_button_pressed(self): - EventHandler.button_pressed(ui=self.ui.right_button, name='right') + EventHandler.button_pressed(ui=self.ui.right_button, name="right") o_event = EventHandler(parent=self) - o_event.manual_offset_changed(direction='horizontal', nbr_pixel=SIMPLE_MANUAL_PIXEL_CHANGE) + o_event.manual_offset_changed(direction="horizontal", nbr_pixel=SIMPLE_MANUAL_PIXEL_CHANGE) self.horizontal_profile_changed() def right_button_released(self): - EventHandler.button_released(ui=self.ui.right_button, name='right') + EventHandler.button_released(ui=self.ui.right_button, name="right") def up_up_button_pressed(self): - EventHandler.button_pressed(ui=self.ui.up_up_button, name='up_up') + EventHandler.button_pressed(ui=self.ui.up_up_button, name="up_up") o_event = EventHandler(parent=self) - o_event.manual_offset_changed(direction='vertical', nbr_pixel=-DOUBLE_MANUAL_PIXEL_CHANGE) + o_event.manual_offset_changed(direction="vertical", nbr_pixel=-DOUBLE_MANUAL_PIXEL_CHANGE) self.vertical_profile_changed() def up_up_button_released(self): - EventHandler.button_released(ui=self.ui.up_up_button, name='up_up') + EventHandler.button_released(ui=self.ui.up_up_button, name="up_up") def up_button_pressed(self): - EventHandler.button_pressed(ui=self.ui.up_button, name='up') + EventHandler.button_pressed(ui=self.ui.up_button, name="up") o_event = EventHandler(parent=self) - o_event.manual_offset_changed(direction='vertical', nbr_pixel=-SIMPLE_MANUAL_PIXEL_CHANGE) + o_event.manual_offset_changed(direction="vertical", nbr_pixel=-SIMPLE_MANUAL_PIXEL_CHANGE) self.vertical_profile_changed() def up_button_released(self): - EventHandler.button_released(ui=self.ui.up_button, name='up') + EventHandler.button_released(ui=self.ui.up_button, name="up") def down_down_button_pressed(self): - EventHandler.button_pressed(ui=self.ui.down_down_button, name='down_down') + EventHandler.button_pressed(ui=self.ui.down_down_button, name="down_down") o_event = EventHandler(parent=self) - o_event.manual_offset_changed(direction='vertical', nbr_pixel=DOUBLE_MANUAL_PIXEL_CHANGE) + o_event.manual_offset_changed(direction="vertical", nbr_pixel=DOUBLE_MANUAL_PIXEL_CHANGE) self.vertical_profile_changed() def down_down_button_released(self): - EventHandler.button_released(ui=self.ui.down_down_button, name='down_down') + EventHandler.button_released(ui=self.ui.down_down_button, name="down_down") def down_button_pressed(self): - EventHandler.button_pressed(ui=self.ui.down_button, name='down') + EventHandler.button_pressed(ui=self.ui.down_button, name="down") o_event = EventHandler(parent=self) - o_event.manual_offset_changed(direction='vertical', nbr_pixel=SIMPLE_MANUAL_PIXEL_CHANGE) + o_event.manual_offset_changed(direction="vertical", nbr_pixel=SIMPLE_MANUAL_PIXEL_CHANGE) self.vertical_profile_changed() def down_button_released(self): - EventHandler.button_released(ui=self.ui.down_button, name='down') + EventHandler.button_released(ui=self.ui.down_button, name="down") def table_right_clicked(self, position): o_event = EventHandler(parent=self) @@ -380,4 +393,3 @@ def export_panoramic_images_button_clicked(self): def closeEvent(self, c): if self.remote_control_id: self.remote_control_id.close() - diff --git a/notebooks/__code/panoramic_stitching/profile.py b/notebooks/__code/panoramic_stitching/profile.py index 74aea568..ab3dc352 100755 --- a/notebooks/__code/panoramic_stitching/profile.py +++ b/notebooks/__code/panoramic_stitching/profile.py @@ -4,37 +4,40 @@ from __code.panoramic_stitching.get import Get from __code.panoramic_stitching.image_handler import HORIZONTAL_MARGIN, VERTICAL_MARGIN -COLOR_WORKING_ROW = 'red' -COLOR_NONE_WORKING_ROW = 'black' +COLOR_WORKING_ROW = "red" +COLOR_NONE_WORKING_ROW = "black" class Profile: - def __init__(self, parent=None): self.parent = parent def horizontal_profile_changed(self): if self.parent.ui.enable_horizontal_profile_checkbox.isChecked(): - roi_id = self.parent.horizontal_profile['id'] + roi_id = self.parent.horizontal_profile["id"] horizontal_roi_dimensions = Profile.get_x_y_width_height_of_roi(roi_id=roi_id) - self.plot_profile(x=horizontal_roi_dimensions['x'], - y=horizontal_roi_dimensions['y'], - width=horizontal_roi_dimensions['width'], - height=horizontal_roi_dimensions['height'], - profile_type='horizontal') + self.plot_profile( + x=horizontal_roi_dimensions["x"], + y=horizontal_roi_dimensions["y"], + width=horizontal_roi_dimensions["width"], + height=horizontal_roi_dimensions["height"], + profile_type="horizontal", + ) def vertical_profile_changed(self): if self.parent.ui.enable_vertical_profile_checkbox.isChecked(): - roi_id = self.parent.vertical_profile['id'] + roi_id = self.parent.vertical_profile["id"] vertical_roi_dimensions = Profile.get_x_y_width_height_of_roi(roi_id=roi_id) - self.plot_profile(x=vertical_roi_dimensions['x'], - y=vertical_roi_dimensions['y'], - width=vertical_roi_dimensions['width'], - height=vertical_roi_dimensions['height'], - profile_type='vertical') - - def plot_profile(self, x=None, y=None, width=None, height=None, profile_type='horizontal'): - if profile_type == 'horizontal': + self.plot_profile( + x=vertical_roi_dimensions["x"], + y=vertical_roi_dimensions["y"], + width=vertical_roi_dimensions["width"], + height=vertical_roi_dimensions["height"], + profile_type="vertical", + ) + + def plot_profile(self, x=None, y=None, width=None, height=None, profile_type="horizontal"): + if profile_type == "horizontal": plot_ui = self.parent.horizontal_profile_plot dim_to_keep = 0 else: @@ -55,9 +58,8 @@ def plot_profile(self, x=None, y=None, width=None, height=None, profile_type='ho image_width = self.parent.image_width for _file_index, _file in enumerate(data_dictionary.keys()): - # no need to display profile if image is not visible - if not offset_dictionary[_file]['visible']: + if not offset_dictionary[_file]["visible"]: continue if row_selected == _file_index: @@ -65,8 +67,8 @@ def plot_profile(self, x=None, y=None, width=None, height=None, profile_type='ho else: color = COLOR_NONE_WORKING_ROW - left_of_image = offset_dictionary[_file]['xoffset'] - top_of_image = offset_dictionary[_file]['yoffset'] + left_of_image = offset_dictionary[_file]["xoffset"] + top_of_image = offset_dictionary[_file]["yoffset"] # image is on the right of profile if left_of_image > (x + width): @@ -91,15 +93,15 @@ def plot_profile(self, x=None, y=None, width=None, height=None, profile_type='ho y_top_for_profile = np.max([y, top_of_image]) - top_of_image y_bottom_for_profile = np.min([y + height, top_of_image + image_height]) - top_of_image - if profile_type == 'horizontal': + if profile_type == "horizontal": x_axis_of_profile = np.arange(x_left_for_profile, x_right_for_profile) + left_of_image else: x_axis_of_profile = np.arange(y_top_for_profile, y_bottom_for_profile) + top_of_image y_axis_of_profile = data_dictionary[_file].data[ - y_top_for_profile:y_bottom_for_profile, - x_left_for_profile:x_right_for_profile, - ] + y_top_for_profile:y_bottom_for_profile, + x_left_for_profile:x_right_for_profile, + ] y_axis = np.mean(y_axis_of_profile, axis=dim_to_keep) plot_ui.axes.plot(x_axis_of_profile, y_axis, color=color) @@ -115,7 +117,9 @@ def plot_profile(self, x=None, y=None, width=None, height=None, profile_type='ho def get_x_y_width_height_of_roi(roi_id=None): x, y = roi_id.pos() width, height = roi_id.size() - return {'x' : int(x) - HORIZONTAL_MARGIN, - 'y' : int(y) - VERTICAL_MARGIN, - 'width' : int(width), - 'height': int(height)} + return { + "x": int(x) - HORIZONTAL_MARGIN, + "y": int(y) - VERTICAL_MARGIN, + "width": int(width), + "height": int(height), + } diff --git a/notebooks/__code/panoramic_stitching/remote_control_handler.py b/notebooks/__code/panoramic_stitching/remote_control_handler.py index 9b4a044d..f09d66f2 100755 --- a/notebooks/__code/panoramic_stitching/remote_control_handler.py +++ b/notebooks/__code/panoramic_stitching/remote_control_handler.py @@ -1,23 +1,20 @@ -from qtpy.QtWidgets import QMainWindow, QApplication import os + from qtpy.QtGui import QIcon -import numpy as np +from qtpy.QtWidgets import QApplication, QMainWindow from __code import load_ui - -from __code.panoramic_stitching.utilities import make_full_file_name_to_static_folder_of, set_widget_size +from __code._utilities.table_handler import TableHandler from __code.panoramic_stitching.config_buttons import button from __code.panoramic_stitching.event_handler import EventHandler from __code.panoramic_stitching.image_handler import ImageHandler -from __code._utilities.table_handler import TableHandler +from __code.panoramic_stitching.utilities import make_full_file_name_to_static_folder_of, set_widget_size BORDER_RANGE = 50 class RemoteControlHandler: - def __init__(self, parent=None): - if parent.remote_control_id is None: parent.remote_control_id = RemoteControlWindow(parent=parent) parent.remote_control_id.show() @@ -30,20 +27,21 @@ def __init__(self, parent=None): class RemoteControlWindow(QMainWindow): - def __init__(self, parent=None): self.parent = parent QMainWindow.__init__(self, parent=parent) - ui_full_path = os.path.join(os.path.dirname(os.path.dirname(os.path.dirname(__file__))), - os.path.join('ui', 'ui_panoramic_remote_control.ui')) + ui_full_path = os.path.join( + os.path.dirname(os.path.dirname(os.path.dirname(__file__))), + os.path.join("ui", "ui_panoramic_remote_control.ui"), + ) self.ui = load_ui(ui_full_path, baseinstance=self) self.setWindowTitle("Remote control") self.initialize_widget() def initialize_widget(self): _file_path = os.path.dirname(__file__) - bring_to_focus_released = make_full_file_name_to_static_folder_of(button['bring_to_focus']['released']) + bring_to_focus_released = make_full_file_name_to_static_folder_of(button["bring_to_focus"]["released"]) self.ui.bring_to_focus.setIcon(QIcon(bring_to_focus_released)) set_widget_size(widget=self.ui.bring_to_focus, width=500, height=203) self.check_previous_next_buttons_status() @@ -57,15 +55,15 @@ def check_previous_next_buttons_status(self): self.ui.next_pushButton.setEnabled(True) if current_row_selected == 0: self.ui.previous_pushButton.setEnabled(False) - if current_row_selected == (number_of_rows-1): + if current_row_selected == (number_of_rows - 1): self.ui.next_pushButton.setEnabled(False) def bring_to_focus_pressed(self): - EventHandler.button_pressed(ui=self.ui.bring_to_focus, name='bring_to_focus') + EventHandler.button_pressed(ui=self.ui.bring_to_focus, name="bring_to_focus") self.bring_to_focus_method() def bring_to_focus_released(self): - EventHandler.button_released(ui=self.ui.bring_to_focus, name='bring_to_focus') + EventHandler.button_released(ui=self.ui.bring_to_focus, name="bring_to_focus") def closeEvent(self, c): # self.parent.ui.remote_control_widget.setEnabled(True) @@ -77,18 +75,18 @@ def bring_to_focus_method(self): _view_box = _view.getViewBox() _state = _view_box.getState() - [[x0, x1], [y0, y1]] = _state['viewRange'] + [[x0, x1], [y0, y1]] = _state["viewRange"] # horizontal profile horizontal_profile = self.parent.horizontal_profile - if horizontal_profile['id']: - self.parent.ui.image_view.removeItem(horizontal_profile['id']) - horizontal_profile['id'] = None - - length = int(x1 - x0)/2 - horizontal_profile['x0'] = x0 + BORDER_RANGE - horizontal_profile['x1'] = horizontal_profile['x0'] + length - horizontal_profile['y'] = y0 + BORDER_RANGE + if horizontal_profile["id"]: + self.parent.ui.image_view.removeItem(horizontal_profile["id"]) + horizontal_profile["id"] = None + + length = int(x1 - x0) / 2 + horizontal_profile["x0"] = x0 + BORDER_RANGE + horizontal_profile["x1"] = horizontal_profile["x0"] + length + horizontal_profile["y"] = y0 + BORDER_RANGE self.parent.horizontal_profile = horizontal_profile is_horizontal_profile_enabled = self.parent.ui.enable_horizontal_profile_checkbox.isChecked() @@ -98,14 +96,14 @@ def bring_to_focus_method(self): # vertical profile vertical_profile = self.parent.vertical_profile - if vertical_profile['id']: - self.parent.ui.image_view.removeItem(vertical_profile['id']) - vertical_profile['id'] = None - - length = int(y1 - y0)/2 - vertical_profile['y0'] = y0 + BORDER_RANGE - vertical_profile['y1'] = vertical_profile['y0'] + length - vertical_profile['x'] = x0 + BORDER_RANGE + if vertical_profile["id"]: + self.parent.ui.image_view.removeItem(vertical_profile["id"]) + vertical_profile["id"] = None + + length = int(y1 - y0) / 2 + vertical_profile["y0"] = y0 + BORDER_RANGE + vertical_profile["y1"] = vertical_profile["y0"] + length + vertical_profile["x"] = x0 + BORDER_RANGE self.parent.vertical_profile = vertical_profile is_vertical_profile_enabled = self.parent.ui.enable_vertical_profile_checkbox.isChecked() @@ -117,14 +115,14 @@ def bring_to_focus_method(self): # from widgets from_roi = self.parent.from_roi - from_roi['x'] = x0 + int((x1 - x0)/2) - from_roi['y'] = int((y1 - y0)/3) + y0 + from_roi["x"] = x0 + int((x1 - x0) / 2) + from_roi["y"] = int((y1 - y0) / 3) + y0 self.parent.from_roi = from_roi # to widgets to_roi = self.parent.to_roi - to_roi['x'] = x0 + int((x1 - x0)/2) - to_roi['y'] = 2 * int((y1 - y0)/3) + y0 + to_roi["x"] = x0 + int((x1 - x0) / 2) + to_roi["y"] = 2 * int((y1 - y0) / 3) + y0 self.parent.to_roi = to_roi is_from_to_enabled = self.parent.ui.from_to_checkbox.isChecked() @@ -142,7 +140,7 @@ def next_button_clicked(self): def _select_row(self, row_offset=1): o_table = TableHandler(table_ui=self.parent.ui.tableWidget) row_selected = o_table.get_row_selected() - o_table.select_row(row_selected+row_offset) + o_table.select_row(row_selected + row_offset) def move_active_image_button_clicked(self): self.ui.move_active_image_pushButton.setEnabled(False) diff --git a/notebooks/__code/panoramic_stitching/stitching_algorithms.py b/notebooks/__code/panoramic_stitching/stitching_algorithms.py index 36738e9b..e7a9ef4e 100755 --- a/notebooks/__code/panoramic_stitching/stitching_algorithms.py +++ b/notebooks/__code/panoramic_stitching/stitching_algorithms.py @@ -1,5 +1,4 @@ class StitchingAlgorithmType: - minimum = "minimum counts" maximum = "maximum counts" mean = "mean counts" diff --git a/notebooks/__code/panoramic_stitching/utilities.py b/notebooks/__code/panoramic_stitching/utilities.py index 3fa7b0f0..9dff9b9e 100755 --- a/notebooks/__code/panoramic_stitching/utilities.py +++ b/notebooks/__code/panoramic_stitching/utilities.py @@ -1,9 +1,10 @@ import os + from qtpy.QtCore import QSize def make_full_file_name_to_static_folder_of(file_name): - _file_path = os.path.join(os.path.dirname(os.path.dirname(__file__)), 'static') + _file_path = os.path.join(os.path.dirname(os.path.dirname(__file__)), "static") full_path_file = os.path.abspath(os.path.join(_file_path, file_name)) return full_path_file diff --git a/notebooks/__code/panoramic_stitching_OLD/config.py b/notebooks/__code/panoramic_stitching_OLD/config.py index 5e53af2c..2397e065 100755 --- a/notebooks/__code/panoramic_stitching_OLD/config.py +++ b/notebooks/__code/panoramic_stitching_OLD/config.py @@ -1,17 +1,10 @@ -button = {'left': {'pressed': 'left_arrow_v2_pressed.png', - 'released': 'left_arrow_v2_released.png'}, - 'right': {'pressed': 'right_arrow_v2_pressed.png', - 'released': 'right_arrow_v2_released.png'}, - 'left_left': {'pressed': 'left_left_arrow_v2_pressed.png', - 'released': 'left_left_arrow_v2_released.png'}, - 'right_right': {'pressed': 'right_right_arrow_v2_pressed.png', - 'released': 'right_right_arrow_v2_released.png'}, - 'up': {'pressed': 'up_arrow_v2_pressed.png', - 'released': 'up_arrow_v2_released.png'}, - 'down': {'pressed': 'down_arrow_v2_pressed.png', - 'released': 'down_arrow_v2_released.png'}, - 'up_up': {'pressed': 'up_up_arrow_v2_pressed.png', - 'released': 'up_up_arrow_v2_released.png'}, - 'down_down': {'pressed': 'down_down_arrow_v2_pressed.png', - 'released': 'down_down_arrow_v2_released.png'}, - } +button = { + "left": {"pressed": "left_arrow_v2_pressed.png", "released": "left_arrow_v2_released.png"}, + "right": {"pressed": "right_arrow_v2_pressed.png", "released": "right_arrow_v2_released.png"}, + "left_left": {"pressed": "left_left_arrow_v2_pressed.png", "released": "left_left_arrow_v2_released.png"}, + "right_right": {"pressed": "right_right_arrow_v2_pressed.png", "released": "right_right_arrow_v2_released.png"}, + "up": {"pressed": "up_arrow_v2_pressed.png", "released": "up_arrow_v2_released.png"}, + "down": {"pressed": "down_arrow_v2_pressed.png", "released": "down_arrow_v2_released.png"}, + "up_up": {"pressed": "up_up_arrow_v2_pressed.png", "released": "up_up_arrow_v2_released.png"}, + "down_down": {"pressed": "down_down_arrow_v2_pressed.png", "released": "down_down_arrow_v2_released.png"}, +} diff --git a/notebooks/__code/panoramic_stitching_OLD/gui_initialization.py b/notebooks/__code/panoramic_stitching_OLD/gui_initialization.py index 80685b23..81ee7ce1 100755 --- a/notebooks/__code/panoramic_stitching_OLD/gui_initialization.py +++ b/notebooks/__code/panoramic_stitching_OLD/gui_initialization.py @@ -1,35 +1,29 @@ +import copy +import os from collections import OrderedDict -import pyqtgraph as pg + import numpy as np -import os -import copy +import pyqtgraph as pg try: - from PyQt4.QtGui import QFileDialog from PyQt4 import QtCore, QtGui - from PyQt4.QtGui import QMainWindow + from PyQt4.QtGui import QFileDialog, QMainWindow except ImportError: - from PyQt5.QtWidgets import QFileDialog from PyQt5 import QtCore, QtGui - from PyQt5.QtWidgets import QApplication, QMainWindow from __code._panoramic_stitching import config DEFAULT_ROI = [0, 50, 75, 250] # x0, y0, width, height for reference only -BUTTON_SIZE = {'single_arrow': {'width': 50, - 'height': 50}, - 'double_arrow': {'width': 65, - 'height': 50}, - 'single_vertical_arrow': {'width': 50, - 'height': 50}, - 'double_vertical_arrow': {'width': 50, - 'height': 65}, - } +BUTTON_SIZE = { + "single_arrow": {"width": 50, "height": 50}, + "double_arrow": {"width": 65, "height": 50}, + "single_vertical_arrow": {"width": 50, "height": 50}, + "double_vertical_arrow": {"width": 50, "height": 65}, +} class GuiInitialization: - - def __init__(self, parent=None, configuration=''): + def __init__(self, parent=None, configuration=""): self.parent = parent self.configuration = configuration @@ -47,12 +41,12 @@ def pyqtgraph(self): self.parent.ui.reference_view = pg.ImageView(view=pg.PlotItem()) self.parent.ui.reference_view.ui.roiBtn.hide() self.parent.ui.reference_view.ui.menuBtn.hide() - self.parent.pyqtgraph_image_view['reference'] = self.parent.ui.reference_view + self.parent.pyqtgraph_image_view["reference"] = self.parent.ui.reference_view self.parent.ui.target_view = pg.ImageView(view=pg.PlotItem()) self.parent.ui.target_view.ui.roiBtn.hide() self.parent.ui.target_view.ui.menuBtn.hide() - self.parent.pyqtgraph_image_view['target'] = self.parent.ui.target_view + self.parent.pyqtgraph_image_view["target"] = self.parent.ui.target_view reference_layout = QtGui.QVBoxLayout() reference_layout.addWidget(self.parent.ui.reference_view) @@ -63,24 +57,28 @@ def pyqtgraph(self): def master_dict(self): master_dict = OrderedDict() - _each_file_dict = {'associated_with_file_index': 0, - 'reference_combobox_file_index': 0, - 'reference_roi': {'x0': DEFAULT_ROI[0], - 'y0': DEFAULT_ROI[1], - 'width': DEFAULT_ROI[2], - 'height': DEFAULT_ROI[3]}, - 'target_combobox_file_index': 0, - 'target_roi': {'x0': DEFAULT_ROI[0], - 'y0': DEFAULT_ROI[1], - 'width': DEFAULT_ROI[2]*self.parent.target_box_size_coefficient['x'], - 'height': DEFAULT_ROI[3]*self.parent.target_box_size_coefficient['y']}, - 'status': "", - 'displacement': {'x': np.NaN, - 'y': np.NaN}, - } + _each_file_dict = { + "associated_with_file_index": 0, + "reference_combobox_file_index": 0, + "reference_roi": { + "x0": DEFAULT_ROI[0], + "y0": DEFAULT_ROI[1], + "width": DEFAULT_ROI[2], + "height": DEFAULT_ROI[3], + }, + "target_combobox_file_index": 0, + "target_roi": { + "x0": DEFAULT_ROI[0], + "y0": DEFAULT_ROI[1], + "width": DEFAULT_ROI[2] * self.parent.target_box_size_coefficient["x"], + "height": DEFAULT_ROI[3] * self.parent.target_box_size_coefficient["y"], + }, + "status": "", + "displacement": {"x": np.nan, "y": np.nan}, + } list_files = self.parent.list_files - for _row in np.arange(len(list_files)-1): + for _row in np.arange(len(list_files) - 1): master_dict[_row] = copy.deepcopy(_each_file_dict) self.parent.master_dict = master_dict @@ -88,8 +86,7 @@ def master_dict(self): def table(self): master_dict = self.parent.master_dict self.parent.ui.tableWidget.blockSignals(True) - for _row, _file_name in enumerate(self.parent.list_reference['files'][:-1]): - + for _row, _file_name in enumerate(self.parent.list_reference["files"][:-1]): self.parent.ui.tableWidget.insertRow(_row) _dict_of_this_row = master_dict[_row] @@ -98,8 +95,8 @@ def table(self): _combobox_ref = QtGui.QComboBox() _combobox_ref.blockSignals(True) _combobox_ref.currentIndexChanged.connect(self.parent.table_widget_reference_image_changed) - _combobox_ref.addItems(self.parent.list_reference['basename_files']) - _combobox_ref.setCurrentIndex(_dict_of_this_row['reference_combobox_file_index']) + _combobox_ref.addItems(self.parent.list_reference["basename_files"]) + _combobox_ref.setCurrentIndex(_dict_of_this_row["reference_combobox_file_index"]) _combobox_ref.blockSignals(False) self.parent.ui.tableWidget.setCellWidget(_row, 0, _combobox_ref) @@ -107,13 +104,13 @@ def table(self): _combobox = QtGui.QComboBox() _combobox.blockSignals(True) _combobox.currentIndexChanged.connect(self.parent.table_widget_target_image_changed) - _combobox.addItems(self.parent.list_target['basename_files']) - _combobox.setCurrentIndex(_dict_of_this_row['target_combobox_file_index']) + _combobox.addItems(self.parent.list_target["basename_files"]) + _combobox.setCurrentIndex(_dict_of_this_row["target_combobox_file_index"]) _combobox.blockSignals(False) self.parent.ui.tableWidget.setCellWidget(_row, 1, _combobox) # status - _item = QtGui.QTableWidgetItem(_dict_of_this_row['status']) + _item = QtGui.QTableWidgetItem(_dict_of_this_row["status"]) self.parent.ui.tableWidget.setItem(_row, 2, _item) self.parent.ui.tableWidget.blockSignals(False) @@ -125,55 +122,57 @@ def widgets(self): self.parent.ui.run_stitching_button.setEnabled(False) self.parent.ui.export_button.setEnabled(False) - up_up_arrow_file = GuiInitialization.__make_full_file_name_to_static_folder_of(config.button['up_up'] - ['released']) + up_up_arrow_file = GuiInitialization.__make_full_file_name_to_static_folder_of( + config.button["up_up"]["released"] + ) self.parent.ui.up_up_button.setIcon(QtGui.QIcon(up_up_arrow_file)) - up_arrow_file = GuiInitialization.__make_full_file_name_to_static_folder_of(config.button['up'] - ['released']) + up_arrow_file = GuiInitialization.__make_full_file_name_to_static_folder_of(config.button["up"]["released"]) self.parent.ui.up_button.setIcon(QtGui.QIcon(up_arrow_file)) - left_left_arrow_file = GuiInitialization.__make_full_file_name_to_static_folder_of(config.button['left_left'] - ['released']) + left_left_arrow_file = GuiInitialization.__make_full_file_name_to_static_folder_of( + config.button["left_left"]["released"] + ) self.parent.ui.left_left_button.setIcon(QtGui.QIcon(left_left_arrow_file)) - left_arrow_file = GuiInitialization.__make_full_file_name_to_static_folder_of(config.button['left'] - ['released']) + left_arrow_file = GuiInitialization.__make_full_file_name_to_static_folder_of(config.button["left"]["released"]) self.parent.ui.left_button.setIcon(QtGui.QIcon(left_arrow_file)) - right_arrow_file = GuiInitialization.__make_full_file_name_to_static_folder_of(config.button['right'] - ['released']) + right_arrow_file = GuiInitialization.__make_full_file_name_to_static_folder_of( + config.button["right"]["released"] + ) self.parent.ui.right_button.setIcon(QtGui.QIcon(right_arrow_file)) - right_right_arrow_file = GuiInitialization.__make_full_file_name_to_static_folder_of(config.button['right_right'] - ['released']) + right_right_arrow_file = GuiInitialization.__make_full_file_name_to_static_folder_of( + config.button["right_right"]["released"] + ) self.parent.ui.right_right_button.setIcon(QtGui.QIcon(right_right_arrow_file)) - down_arrow_file = GuiInitialization.__make_full_file_name_to_static_folder_of(config.button['down'] - ['released']) + down_arrow_file = GuiInitialization.__make_full_file_name_to_static_folder_of(config.button["down"]["released"]) self.parent.ui.down_button.setIcon(QtGui.QIcon(down_arrow_file)) - down_down_arrow_file = GuiInitialization.__make_full_file_name_to_static_folder_of(config.button['down_down'] - ['released']) + down_down_arrow_file = GuiInitialization.__make_full_file_name_to_static_folder_of( + config.button["down_down"]["released"] + ) self.parent.ui.down_down_button.setIcon(QtGui.QIcon(down_down_arrow_file)) - list_ui = [self.parent.ui.left_button, - self.parent.ui.right_button] - GuiInitialization.__set_widgets_size(widgets=list_ui, - width=BUTTON_SIZE['single_arrow']['width'], - height=BUTTON_SIZE['single_arrow']['height']) - - list_ui = [self.parent.ui.left_left_button, - self.parent.ui.right_right_button] - GuiInitialization.__set_widgets_size(widgets=list_ui, - width=BUTTON_SIZE['double_arrow']['width'], - height=BUTTON_SIZE['double_arrow']['height']) - - list_ui = [self.parent.ui.up_button, - self.parent.ui.down_button] - GuiInitialization.__set_widgets_size(widgets=list_ui, - width=BUTTON_SIZE['single_vertical_arrow']['width'], - height=BUTTON_SIZE['single_vertical_arrow']['height']) - - list_ui = [self.parent.ui.up_up_button, - self.parent.ui.down_down_button] - GuiInitialization.__set_widgets_size(widgets=list_ui, - width=BUTTON_SIZE['double_vertical_arrow']['width'], - height=BUTTON_SIZE['double_vertical_arrow']['height']) + list_ui = [self.parent.ui.left_button, self.parent.ui.right_button] + GuiInitialization.__set_widgets_size( + widgets=list_ui, width=BUTTON_SIZE["single_arrow"]["width"], height=BUTTON_SIZE["single_arrow"]["height"] + ) + + list_ui = [self.parent.ui.left_left_button, self.parent.ui.right_right_button] + GuiInitialization.__set_widgets_size( + widgets=list_ui, width=BUTTON_SIZE["double_arrow"]["width"], height=BUTTON_SIZE["double_arrow"]["height"] + ) + + list_ui = [self.parent.ui.up_button, self.parent.ui.down_button] + GuiInitialization.__set_widgets_size( + widgets=list_ui, + width=BUTTON_SIZE["single_vertical_arrow"]["width"], + height=BUTTON_SIZE["single_vertical_arrow"]["height"], + ) + + list_ui = [self.parent.ui.up_up_button, self.parent.ui.down_down_button] + GuiInitialization.__set_widgets_size( + widgets=list_ui, + width=BUTTON_SIZE["double_vertical_arrow"]["width"], + height=BUTTON_SIZE["double_vertical_arrow"]["height"], + ) def statusbar(self): self.parent.eventProgress = QtGui.QProgressBar(self.parent.ui.statusbar) @@ -188,7 +187,7 @@ def splitters(self): def table_selection(self): nbr_column = self.parent.ui.tableWidget.columnCount() - _selection = QtGui.QTableWidgetSelectionRange(0, 0, 0, nbr_column-1) + _selection = QtGui.QTableWidgetSelectionRange(0, 0, 0, nbr_column - 1) self.parent.ui.tableWidget.setRangeSelected(_selection, True) def load_configuration(self): @@ -196,6 +195,7 @@ def load_configuration(self): configuration = self.configuration import json + with open(configuration) as json_file: configuration_roi = json.load(json_file) @@ -203,25 +203,29 @@ def load_configuration(self): configuration_roi_row = configuration_roi[str(_row)] master_dict_row = master_dict[_row] - roi_row_reference = configuration_roi_row['reference'] - master_dict_row['reference_roi'] = {'x0': int(roi_row_reference['x0']), - 'y0': int(roi_row_reference['y0']), - 'width': int(roi_row_reference['width']), - 'height': int(roi_row_reference['height'])} - master_dict_row['reference_combobox_file_index'] = int(roi_row_reference['file_index']) - - roi_row_target = configuration_roi_row['target'] - master_dict_row['target_combobox_file_index'] = int(roi_row_target['file_index']) - master_dict_row['target_roi'] = {'x0': int(roi_row_target['x0']), - 'y0': int(roi_row_target['y0']), - 'width': int(roi_row_target['width']), - 'height': int(roi_row_target['height'])} + roi_row_reference = configuration_roi_row["reference"] + master_dict_row["reference_roi"] = { + "x0": int(roi_row_reference["x0"]), + "y0": int(roi_row_reference["y0"]), + "width": int(roi_row_reference["width"]), + "height": int(roi_row_reference["height"]), + } + master_dict_row["reference_combobox_file_index"] = int(roi_row_reference["file_index"]) + + roi_row_target = configuration_roi_row["target"] + master_dict_row["target_combobox_file_index"] = int(roi_row_target["file_index"]) + master_dict_row["target_roi"] = { + "x0": int(roi_row_target["x0"]), + "y0": int(roi_row_target["y0"]), + "width": int(roi_row_target["width"]), + "height": int(roi_row_target["height"]), + } configuration_roi[str(_row)] = configuration_roi_row @staticmethod def __make_full_file_name_to_static_folder_of(file_name): - _file_path = os.path.join(os.path.dirname(os.path.dirname(__file__)), 'static') + _file_path = os.path.join(os.path.dirname(os.path.dirname(__file__)), "static") full_path_file = os.path.abspath(os.path.join(_file_path, file_name)) return full_path_file diff --git a/notebooks/__code/panoramic_stitching_OLD/panoramic_stitching.py b/notebooks/__code/panoramic_stitching_OLD/panoramic_stitching.py index 0e36730b..436417bb 100755 --- a/notebooks/__code/panoramic_stitching_OLD/panoramic_stitching.py +++ b/notebooks/__code/panoramic_stitching_OLD/panoramic_stitching.py @@ -1,30 +1,29 @@ -from IPython.display import HTML -from IPython.display import display -import pyqtgraph as pg -import numpy as np import os +import numpy as np +import pyqtgraph as pg +from IPython.display import HTML, display + try: # from PyQt4.QtGui import QFileDialog from PyQt4 import QtCore, QtGui from PyQt4.QtGui import QMainWindow except ImportError: # from PyQt5.QtWidgets import QFileDialog - from PyQt5 import QtCore, QtGui - from PyQt5.QtWidgets import QApplication, QMainWindow + from PyQt5 import QtGui + from PyQt5.QtWidgets import QMainWindow from NeuNorm.normalization import Normalization -from __code.ui_panoramic_stitching import Ui_MainWindow as UiMainWindow -from __code.file_folder_browser import FileFolderBrowser from __code._panoramic_stitching.gui_initialization import GuiInitialization -from __code._panoramic_stitching.utilities import Utilities from __code._panoramic_stitching.stiching import Stitching +from __code._panoramic_stitching.utilities import Utilities +from __code.file_folder_browser import FileFolderBrowser +from __code.ui_panoramic_stitching import Ui_MainWindow as UiMainWindow class InterfaceHandler(FileFolderBrowser): - - def __init__(self, working_dir=''): + def __init__(self, working_dir=""): super(InterfaceHandler, self).__init__(working_dir=working_dir) def load(self): @@ -35,7 +34,6 @@ def load(self): class Interface(QMainWindow): - # master_dict = OrderedDict(['full_file_name1': {'associated_with_file_index': 0, # 'reference_roi': {'x0':100, 'y0':100', 'width':300, 'height':300}, # 'target_roi': {'x0':100, 'y0': 100', 'width': 450', 'height':450'}, @@ -43,30 +41,29 @@ class Interface(QMainWindow): # 'full_file_name2': ... } master_dict = {} tableWidget_columns_size = [400, 400, 500] - histogram_level = {'reference': [], - 'target': []} - pyqtgraph_image_view = {'reference': None, - 'data': None} - live_rois_id = {'reference': None, - 'target': None} + histogram_level = {"reference": [], "target": []} + pyqtgraph_image_view = {"reference": None, "data": None} + live_rois_id = {"reference": None, "target": None} list_reference = [] list_target = [] # the target box will be x and y times the size of the reference box - target_box_size_coefficient = {'x': 1, - 'y': 1} + target_box_size_coefficient = {"x": 1, "y": 1} - def __init__(self, parent=None, o_norm=None, configuration=''): - - display(HTML('Check UI that popped up \ - (maybe hidden behind this browser!)')) + def __init__(self, parent=None, o_norm=None, configuration=""): + display( + HTML( + 'Check UI that popped up \ + (maybe hidden behind this browser!)' + ) + ) self.o_norm = o_norm - self.list_files = self.o_norm.data['sample']['file_name'] + self.list_files = self.o_norm.data["sample"]["file_name"] self.basename_list_files = [os.path.basename(_file) for _file in self.list_files] - self.list_data = self.o_norm.data['sample']['data'] + self.list_data = self.o_norm.data["sample"]["data"] # have a format {'files': [], 'data': [], 'basename_files': []} # self.list_reference = self.get_list_files(start_index=0, end_index=-1) @@ -80,38 +77,38 @@ def __init__(self, parent=None, o_norm=None, configuration=''): self.ui.setupUi(self) self.setWindowTitle("Panoramic Stitching") - o_initialization = GuiInitialization(parent=self, - configuration=configuration) + o_initialization = GuiInitialization(parent=self, configuration=configuration) o_initialization.all() self.check_status_of_stitching_button() def get_list_files(self, start_index=0, end_index=None): if end_index is None: - end_index = len(self.list_files)+1 - - _list = {'files': self.list_files[start_index: end_index], - 'data': self.list_data[start_index: end_index], - 'basename_files': []} - _list['basename_files'] = [os.path.basename(_file) for _file in _list['files']] + end_index = len(self.list_files) + 1 + + _list = { + "files": self.list_files[start_index:end_index], + "data": self.list_data[start_index:end_index], + "basename_files": [], + } + _list["basename_files"] = [os.path.basename(_file) for _file in _list["files"]] return _list # event handler def reference_roi_changed(self): - self.save_roi_changed(data_type='reference') + self.save_roi_changed(data_type="reference") def target_roi_changed(self): - self.save_roi_changed(data_type='target') + self.save_roi_changed(data_type="target") - def save_roi_changed(self, data_type='reference'): + def save_roi_changed(self, data_type="reference"): roi_id = self.live_rois_id[data_type] o_utilities = Utilities(parent=self) view = o_utilities.get_view(data_type=data_type) image = o_utilities.get_image(data_type=data_type) row_selected = o_utilities.get_row_selected() - region = roi_id.getArraySlice(np.transpose(image), - view.imageItem) + region = roi_id.getArraySlice(np.transpose(image), view.imageItem) x0 = region[0][0].start x1 = region[0][0].stop y0 = region[0][1].start @@ -123,44 +120,43 @@ def save_roi_changed(self, data_type='reference'): width = np.max([x0, x1]) - x0 height = np.max([y0, y1]) - y0 - o_utilities.set_roi_to_master_dict(row=row_selected, - data_type=data_type, - x0=x0, - y0=y0, - width=width, - height=height) + o_utilities.set_roi_to_master_dict( + row=row_selected, data_type=data_type, x0=x0, y0=y0, width=width, height=height + ) # we need to make sure the target roi has the proper size - if data_type == 'reference': - o_utilities.set_roi_to_master_dict(row=row_selected, - data_type='target', - width=self.target_box_size_coefficient['x']*width, - height=self.target_box_size_coefficient['y']*height) - self.display_target_data(data=o_utilities.get_image(data_type='target')) + if data_type == "reference": + o_utilities.set_roi_to_master_dict( + row=row_selected, + data_type="target", + width=self.target_box_size_coefficient["x"] * width, + height=self.target_box_size_coefficient["y"] * height, + ) + self.display_target_data(data=o_utilities.get_image(data_type="target")) self.check_status_of_stitching_button() def table_widget_selection_changed(self): o_utilities = Utilities(parent=self) - row_selected = o_utilities.get_reference_selected(key='index') + row_selected = o_utilities.get_reference_selected(key="index") # +1 because the target file starts at the second file target_file_index_selected = o_utilities.get_target_index_selected_from_row(row=row_selected) reference_file_index_selected = o_utilities.get_reference_index_selected_from_row(row=row_selected) - reference_data = self.list_reference['data'][reference_file_index_selected] - target_data = self.list_target['data'][target_file_index_selected] + reference_data = self.list_reference["data"][reference_file_index_selected] + target_data = self.list_target["data"][target_file_index_selected] self.display_reference_data(data=reference_data) self.display_target_data(data=target_data) def display_reference_data(self, data=[]): - self.display_data(data_type='reference', data=data) + self.display_data(data_type="reference", data=data) def display_target_data(self, data=[]): - self.display_data(data_type='target', data=data) + self.display_data(data_type="target", data=data) - def display_data(self, data_type='reference', data=[]): + def display_data(self, data_type="reference", data=[]): ui = self.pyqtgraph_image_view[data_type] roi_id = self.live_rois_id[data_type] @@ -187,19 +183,18 @@ def display_data(self, data_type='reference', data=[]): _view_box.setState(_state) if not first_update: - _histo_widget.setLevels(self.histogram_level[data_type][0], - self.histogram_level[data_type][1]) + _histo_widget.setLevels(self.histogram_level[data_type][0], self.histogram_level[data_type][1]) - def display_roi(self, data_type='reference'): + def display_roi(self, data_type="reference"): o_utilities = Utilities(parent=self) _row = o_utilities.get_row_selected() file_dict = self.master_dict[_row] - _roi_key = "{}_roi".format(data_type) - x0 = file_dict[_roi_key]['x0'] - y0 = file_dict[_roi_key]['y0'] - width = file_dict[_roi_key]['width'] - height = file_dict[_roi_key]['height'] + _roi_key = f"{data_type}_roi" + x0 = file_dict[_roi_key]["x0"] + y0 = file_dict[_roi_key]["y0"] + width = file_dict[_roi_key]["width"] + height = file_dict[_roi_key]["height"] ui = self.pyqtgraph_image_view[data_type] color = QtGui.QColor(62, 13, 244) @@ -207,7 +202,7 @@ def display_roi(self, data_type='reference'): _pen.setColor(color) _pen.setWidthF(0.02) _roi_id = pg.ROI([x0, y0], [width, height], pen=_pen, scaleSnap=True) - if data_type == 'reference': + if data_type == "reference": _roi_id.addScaleHandle([1, 1], [0, 0]) _roi_id.addScaleHandle([0, 0], [1, 1]) method = self.reference_roi_changed @@ -230,16 +225,16 @@ def check_status_of_stitching_button(self): _target_file = o_utilities.get_target_file_selected_for_this_row(_row) if _reference_file == _target_file: - o_utilities.set_status_of_this_row_to_message(row=_row, - message='Reference and target MUST be different files!') + o_utilities.set_status_of_this_row_to_message( + row=_row, message="Reference and target MUST be different files!" + ) continue if _target_file in list_target_file: - o_utilities.set_status_of_this_row_to_message(row=_row, - message="Already used!") + o_utilities.set_status_of_this_row_to_message(row=_row, message="Already used!") list_target_file.add(_target_file) - if len(list_target_file) == len(self.list_target['files'])-1: + if len(list_target_file) == len(self.list_target["files"]) - 1: enabled_button = True statusbar_message = "" else: @@ -254,7 +249,7 @@ def table_widget_reference_image_changed(self, index): self.check_status_of_stitching_button() def table_widget_target_image_changed(self, index): - self.table_widget_selection_changed() + self.table_widget_selection_changed() self.check_status_of_stitching_button() def run_stitching_button_clicked(self): @@ -264,68 +259,52 @@ def run_stitching_button_clicked(self): o_stitch.run_fft() def up_up_button_pressed(self): - Utilities.button_pressed(ui=self.ui.up_up_button, - name='up_up') + Utilities.button_pressed(ui=self.ui.up_up_button, name="up_up") def up_up_button_released(self): - Utilities.button_released(ui=self.ui.up_up_button, - name='up_up') + Utilities.button_released(ui=self.ui.up_up_button, name="up_up") def up_button_pressed(self): - Utilities.button_pressed(ui=self.ui.up_button, - name='up') + Utilities.button_pressed(ui=self.ui.up_button, name="up") def up_button_released(self): - Utilities.button_released(ui=self.ui.up_button, - name='up') + Utilities.button_released(ui=self.ui.up_button, name="up") def left_button_pressed(self): - Utilities.button_pressed(ui=self.ui.left_button, - name='left') + Utilities.button_pressed(ui=self.ui.left_button, name="left") def left_button_released(self): - Utilities.button_released(ui=self.ui.left_button, - name='left') + Utilities.button_released(ui=self.ui.left_button, name="left") def right_button_pressed(self): - Utilities.button_pressed(ui=self.ui.right_button, - name='right') + Utilities.button_pressed(ui=self.ui.right_button, name="right") def right_button_released(self): - Utilities.button_released(ui=self.ui.right_button, - name='right') + Utilities.button_released(ui=self.ui.right_button, name="right") def left_left_button_pressed(self): - Utilities.button_pressed(ui=self.ui.left_left_button, - name='left_left') + Utilities.button_pressed(ui=self.ui.left_left_button, name="left_left") def left_left_button_released(self): - Utilities.button_released(ui=self.ui.left_left_button, - name='left_left') + Utilities.button_released(ui=self.ui.left_left_button, name="left_left") def right_right_button_pressed(self): - Utilities.button_pressed(ui=self.ui.right_right_button, - name='right_right') + Utilities.button_pressed(ui=self.ui.right_right_button, name="right_right") def right_right_button_released(self): - Utilities.button_released(ui=self.ui.right_right_button, - name='right_right') + Utilities.button_released(ui=self.ui.right_right_button, name="right_right") def down_button_pressed(self): - Utilities.button_pressed(ui=self.ui.down_button, - name='down') + Utilities.button_pressed(ui=self.ui.down_button, name="down") def down_button_released(self): - Utilities.button_released(ui=self.ui.down_button, - name='down') - + Utilities.button_released(ui=self.ui.down_button, name="down") + def down_down_button_pressed(self): - Utilities.button_pressed(ui=self.ui.down_down_button, - name='down_down') + Utilities.button_pressed(ui=self.ui.down_down_button, name="down_down") def down_down_button_released(self): - Utilities.button_released(ui=self.ui.down_down_button, - name='down_down') + Utilities.button_released(ui=self.ui.down_down_button, name="down_down") def apply_clicked(self): # do stuff @@ -339,6 +318,3 @@ def display_image(self, image): def closeEvent(self, eventhere=None): print("Leaving Panoramic Stitching UI") - - - diff --git a/notebooks/__code/panoramic_stitching_OLD/stiching.py b/notebooks/__code/panoramic_stitching_OLD/stiching.py index 63965a7f..325ad74b 100755 --- a/notebooks/__code/panoramic_stitching_OLD/stiching.py +++ b/notebooks/__code/panoramic_stitching_OLD/stiching.py @@ -1,162 +1,167 @@ -import numpy as np from collections import defaultdict +import numpy as np + from __code._panoramic_stitching.utilities import Utilities DEBUG_JSON = False class Stitching: + def __init__(self, parent=None): + self.parent = parent - def __init__(self, parent=None): - self.parent = parent - - def run_fft(self): - master_dict = self.parent.master_dict - o_utilities = Utilities(parent=self.parent) - - for _row in master_dict.keys(): - _data_reference = o_utilities.get_image_for_this_row(data_type='reference', - row=_row) - _data_target = o_utilities.get_image_for_this_row(data_type='target', - row=_row) - - reference_roi = master_dict[_row]['reference_roi'] - [ref_x0, ref_y0, ref_width, ref_height] = Stitching.retrieve_roi_parameters(roi_dict=reference_roi) - target_roi = master_dict[_row]['target_roi'] - [target_x0, target_y0, _, _] = Stitching.retrieve_roi_parameters(roi_dict=target_roi) - - _data_reference_roi = _data_reference[ref_y0:ref_y0 + ref_height, ref_x0:ref_x0 + ref_width] - _data_target_roi = _data_target[target_y0:target_y0 + ref_height, target_x0:target_x0 + ref_width] - - f_reference = np.fft.fft2(_data_reference_roi) - f_target = np.fft.fft2(_data_target_roi) - - f_ref_target = f_target * np.conjugate(f_reference) - co = np.abs(np.fft.ifft2(f_ref_target)) - - pos = np.where(co == np.amax(co)) - optimum_x0 = pos[1][0] - optimum_y0 = pos[0][0] - - displacement = {'x': target_x0 - ref_x0 + optimum_x0, - 'y': target_y0 - ref_y0 + optimum_y0} - - master_dict[_row]['displacement']['x'] = displacement['x'] - master_dict[_row]['displacement']['y'] = displacement['y'] - - def run(self): - master_dict = self.parent.master_dict - list_target_file = self.parent.list_target - - if DEBUG_JSON: roi_to_export = {} - for _row in master_dict.keys(): - - _data_reference = self.parent.list_reference['data'][_row] - _target_file_index = master_dict[_row]['target_combobox_file_index'] - - _target_file = list_target_file['files'][_target_file_index] - _data_target = list_target_file['data'][_target_file_index] - - reference_roi = master_dict[_row]['reference_roi'] - [ref_x0, ref_y0, ref_width, ref_height] = Stitching.retrieve_roi_parameters(roi_dict=reference_roi) - - target_roi = master_dict[_row]['target_roi'] - [starting_target_x0, starting_target_y0, target_width, target_height] = \ - Stitching.retrieve_roi_parameters(roi_dict=target_roi) - - _data_reference_of_roi = _data_reference[ref_y0:ref_y0 + ref_height, ref_x0:ref_x0 + ref_width] - - # where to start from - moving_target_x0 = starting_target_x0 - moving_target_y0 = starting_target_y0 - - moving_target_width = ref_width - moving_target_height = ref_height - - # where to end - final_target_x0 = starting_target_x0 + target_width - ref_width - final_target_y0 = starting_target_y0 + target_height - ref_height - - moving_target_x1 = moving_target_x0 + moving_target_width - moving_target_y1 = moving_target_y0 + moving_target_height - - print("Reference:") - print("x0:{}, y0:{}, width:{}, height:{}".format(ref_x0, ref_y0, ref_width, ref_height)) - print("target:") - print("x0:{}, y0:{}, width:{}, height:{}".format(starting_target_x0, starting_target_y0, - target_width, target_height)) - - if DEBUG_JSON: - o_utilities = Utilities(parent=self.parent) - _reference_file_index = o_utilities.get_reference_index_selected_from_row(row=_row) - - roi_to_export[str(_row)] = {'reference': {'x0': str(ref_x0), - 'y0': str(ref_y0), - 'width': str(int(ref_width)), - 'height': str(int(ref_height)), - 'file_index': str(_target_file_index)}, - 'target': {'x0': str(starting_target_x0), - 'y0': str(starting_target_y0), - 'width': str(int(target_width)), - 'height': str(int(target_height)), - 'file_index': str(_reference_file_index)}} - - counts_and_x0_position_dict = defaultdict(list) - counts_and_y0_position_dict = defaultdict(list) - - counts_3d = np.zeros((final_target_y0 - moving_target_y0 + 1, final_target_x0 - moving_target_x0 + 1)) - - x = 0 - y = 0 - while moving_target_y0 <= final_target_y0: - - _data_target_of_roi = _data_target[moving_target_y0:moving_target_y0 + ref_height, - moving_target_x0:moving_target_x0 + ref_width] - - _diff_array = np.abs(_data_target_of_roi - _data_reference_of_roi) - _sum_diff_array = np.sum(_diff_array) - counts_and_x0_position_dict[_sum_diff_array].append(moving_target_x0) - counts_and_y0_position_dict[_sum_diff_array].append(moving_target_y0) - - counts_3d[y, x] = _sum_diff_array - - moving_target_x0 += 1 - x += 1 - if moving_target_x0 > final_target_x0: - moving_target_x0 = starting_target_x0 - x = 0 - - moving_target_y0 += 1 - y += 1 - - list_of_counts_x0 = np.array(list(counts_and_x0_position_dict.keys())) - list_of_counts_y0 = np.array(list(counts_and_y0_position_dict.keys())) - optimum_counts_for_x0 = list_of_counts_x0.min() - optimum_counts_for_y0 = list_of_counts_y0.min() - - # self.parent.debug_list_of_counts_x0 = list_of_counts_x0 - # self.parent.debug_list_of_counts_y0 = list_of_counts_y0 - self.parent.debug_counts_3d = counts_3d - - optimum_x0 = counts_and_x0_position_dict[optimum_counts_for_x0][0] - optimum_y0 = counts_and_y0_position_dict[optimum_counts_for_y0][0] - - print("optimum x0:{} and optimum y0:{}".format(optimum_x0, optimum_y0)) + def run_fft(self): + master_dict = self.parent.master_dict + o_utilities = Utilities(parent=self.parent) + + for _row in master_dict.keys(): + _data_reference = o_utilities.get_image_for_this_row(data_type="reference", row=_row) + _data_target = o_utilities.get_image_for_this_row(data_type="target", row=_row) + + reference_roi = master_dict[_row]["reference_roi"] + [ref_x0, ref_y0, ref_width, ref_height] = Stitching.retrieve_roi_parameters(roi_dict=reference_roi) + target_roi = master_dict[_row]["target_roi"] + [target_x0, target_y0, _, _] = Stitching.retrieve_roi_parameters(roi_dict=target_roi) + + _data_reference_roi = _data_reference[ref_y0 : ref_y0 + ref_height, ref_x0 : ref_x0 + ref_width] + _data_target_roi = _data_target[target_y0 : target_y0 + ref_height, target_x0 : target_x0 + ref_width] + + f_reference = np.fft.fft2(_data_reference_roi) + f_target = np.fft.fft2(_data_target_roi) + + f_ref_target = f_target * np.conjugate(f_reference) + co = np.abs(np.fft.ifft2(f_ref_target)) + + pos = np.where(co == np.amax(co)) + optimum_x0 = pos[1][0] + optimum_y0 = pos[0][0] + + displacement = {"x": target_x0 - ref_x0 + optimum_x0, "y": target_y0 - ref_y0 + optimum_y0} + + master_dict[_row]["displacement"]["x"] = displacement["x"] + master_dict[_row]["displacement"]["y"] = displacement["y"] + + def run(self): + master_dict = self.parent.master_dict + list_target_file = self.parent.list_target + + if DEBUG_JSON: + roi_to_export = {} + for _row in master_dict.keys(): + _data_reference = self.parent.list_reference["data"][_row] + _target_file_index = master_dict[_row]["target_combobox_file_index"] + + _target_file = list_target_file["files"][_target_file_index] + _data_target = list_target_file["data"][_target_file_index] - self.parent.debug_big_array_roi_ref = _data_reference_of_roi - self.parent.debug_big_array_roi_target = _data_target[optimum_y0:optimum_y0 + ref_height, - optimum_x0:optimum_x0 + ref_width] + reference_roi = master_dict[_row]["reference_roi"] + [ref_x0, ref_y0, ref_width, ref_height] = Stitching.retrieve_roi_parameters(roi_dict=reference_roi) - if DEBUG_JSON: - import json - with open('/Users/j35/Desktop/roi.txt', 'w') as outfile: - json.dump(roi_to_export, outfile) - - @staticmethod - def retrieve_roi_parameters(roi_dict={}): - _x0 = roi_dict['x0'] - _y0 = roi_dict['y0'] - _width = roi_dict['width'] - _height = roi_dict['height'] - return [_x0, _y0, _width, _height] + target_roi = master_dict[_row]["target_roi"] + [starting_target_x0, starting_target_y0, target_width, target_height] = Stitching.retrieve_roi_parameters( + roi_dict=target_roi + ) + + _data_reference_of_roi = _data_reference[ref_y0 : ref_y0 + ref_height, ref_x0 : ref_x0 + ref_width] + + # where to start from + moving_target_x0 = starting_target_x0 + moving_target_y0 = starting_target_y0 + + moving_target_width = ref_width + moving_target_height = ref_height + + # where to end + final_target_x0 = starting_target_x0 + target_width - ref_width + final_target_y0 = starting_target_y0 + target_height - ref_height + + moving_target_x1 = moving_target_x0 + moving_target_width + moving_target_y1 = moving_target_y0 + moving_target_height + + print("Reference:") + print(f"x0:{ref_x0}, y0:{ref_y0}, width:{ref_width}, height:{ref_height}") + print("target:") + print(f"x0:{starting_target_x0}, y0:{starting_target_y0}, width:{target_width}, height:{target_height}") + + if DEBUG_JSON: + o_utilities = Utilities(parent=self.parent) + _reference_file_index = o_utilities.get_reference_index_selected_from_row(row=_row) + + roi_to_export[str(_row)] = { + "reference": { + "x0": str(ref_x0), + "y0": str(ref_y0), + "width": str(int(ref_width)), + "height": str(int(ref_height)), + "file_index": str(_target_file_index), + }, + "target": { + "x0": str(starting_target_x0), + "y0": str(starting_target_y0), + "width": str(int(target_width)), + "height": str(int(target_height)), + "file_index": str(_reference_file_index), + }, + } + + counts_and_x0_position_dict = defaultdict(list) + counts_and_y0_position_dict = defaultdict(list) + + counts_3d = np.zeros((final_target_y0 - moving_target_y0 + 1, final_target_x0 - moving_target_x0 + 1)) + + x = 0 + y = 0 + while moving_target_y0 <= final_target_y0: + _data_target_of_roi = _data_target[ + moving_target_y0 : moving_target_y0 + ref_height, moving_target_x0 : moving_target_x0 + ref_width + ] + + _diff_array = np.abs(_data_target_of_roi - _data_reference_of_roi) + _sum_diff_array = np.sum(_diff_array) + counts_and_x0_position_dict[_sum_diff_array].append(moving_target_x0) + counts_and_y0_position_dict[_sum_diff_array].append(moving_target_y0) + + counts_3d[y, x] = _sum_diff_array + + moving_target_x0 += 1 + x += 1 + if moving_target_x0 > final_target_x0: + moving_target_x0 = starting_target_x0 + x = 0 + + moving_target_y0 += 1 + y += 1 + + list_of_counts_x0 = np.array(list(counts_and_x0_position_dict.keys())) + list_of_counts_y0 = np.array(list(counts_and_y0_position_dict.keys())) + optimum_counts_for_x0 = list_of_counts_x0.min() + optimum_counts_for_y0 = list_of_counts_y0.min() + + # self.parent.debug_list_of_counts_x0 = list_of_counts_x0 + # self.parent.debug_list_of_counts_y0 = list_of_counts_y0 + self.parent.debug_counts_3d = counts_3d + + optimum_x0 = counts_and_x0_position_dict[optimum_counts_for_x0][0] + optimum_y0 = counts_and_y0_position_dict[optimum_counts_for_y0][0] + + print(f"optimum x0:{optimum_x0} and optimum y0:{optimum_y0}") + + self.parent.debug_big_array_roi_ref = _data_reference_of_roi + self.parent.debug_big_array_roi_target = _data_target[ + optimum_y0 : optimum_y0 + ref_height, optimum_x0 : optimum_x0 + ref_width + ] + + if DEBUG_JSON: + import json + + with open("/Users/j35/Desktop/roi.txt", "w") as outfile: + json.dump(roi_to_export, outfile) + + @staticmethod + def retrieve_roi_parameters(roi_dict={}): + _x0 = roi_dict["x0"] + _y0 = roi_dict["y0"] + _width = roi_dict["width"] + _height = roi_dict["height"] + return [_x0, _y0, _width, _height] diff --git a/notebooks/__code/panoramic_stitching_OLD/utilities.py b/notebooks/__code/panoramic_stitching_OLD/utilities.py index 7b1f9c1f..d7e7db73 100755 --- a/notebooks/__code/panoramic_stitching_OLD/utilities.py +++ b/notebooks/__code/panoramic_stitching_OLD/utilities.py @@ -1,6 +1,7 @@ -import numpy as np import os +import numpy as np + try: from PyQt4 import QtGui except ImportError: @@ -10,64 +11,62 @@ class Utilities: - def __init__(self, parent=None): self.parent = parent - def get_roi_from_master_dict(self, full_file_name=''): - master_dict = self.parent.master_dict[full_file_name]['reference_roi'] - x0 = master_dict['x0'] - y0 = master_dict['y0'] - width = master_dict['width'] - height = master_dict['height'] + def get_roi_from_master_dict(self, full_file_name=""): + master_dict = self.parent.master_dict[full_file_name]["reference_roi"] + x0 = master_dict["x0"] + y0 = master_dict["y0"] + width = master_dict["width"] + height = master_dict["height"] return [x0, y0, width, height] - def set_roi_to_master_dict(self, row=0, data_type='reference', - x0=None, y0=None, width=np.NaN, height=np.NaN): - roi_key = "{}_roi".format(data_type) + def set_roi_to_master_dict(self, row=0, data_type="reference", x0=None, y0=None, width=np.nan, height=np.nan): + roi_key = f"{data_type}_roi" roi_dict = self.parent.master_dict[row][roi_key] if x0: - roi_dict['x0'] = x0 - roi_dict['y0'] = y0 - roi_dict['width'] = width - roi_dict['height'] = height + roi_dict["x0"] = x0 + roi_dict["y0"] = y0 + roi_dict["width"] = width + roi_dict["height"] = height - def get_view(self, data_type='reference'): - if data_type == 'reference': + def get_view(self, data_type="reference"): + if data_type == "reference": return self.parent.ui.reference_view - elif data_type == 'target': + elif data_type == "target": return self.parent.ui.target_view else: return None - def get_image(self, data_type='reference'): - if data_type == 'reference': - return self.get_reference_selected(key='data') + def get_image(self, data_type="reference"): + if data_type == "reference": + return self.get_reference_selected(key="data") else: - return self.get_target_selected(key='data') + return self.get_target_selected(key="data") - def get_reference_selected(self, key='files'): + def get_reference_selected(self, key="files"): row = self.get_row_selected() - if key == 'index': + if key == "index": return row combobox_index_selected = self.get_reference_index_selected_from_row(row=row) return self.parent.list_reference[key][combobox_index_selected] - def get_image_for_this_row(self, data_type='reference', row=0): - if data_type == 'reference': + def get_image_for_this_row(self, data_type="reference", row=0): + if data_type == "reference": combobox_index_selected = self.get_reference_index_selected_from_row(row=row) else: combobox_index_selected = self.get_target_index_selected_from_row(row=row) - return self.parent.list_reference['data'][combobox_index_selected] + return self.parent.list_reference["data"][combobox_index_selected] - def get_target_selected(self, key='files'): - row = self.get_reference_selected(key='index') + def get_target_selected(self, key="files"): + row = self.get_reference_selected(key="index") combobox_index_selected = self.get_target_index_selected_from_row(row=row) return self.parent.list_target[key][combobox_index_selected] - def __get_reference_file_selected(self, key='files'): + def __get_reference_file_selected(self, key="files"): _row_selected = self.get_row_selected() - return self.parent.list_reference['files'][_row_selected] + return self.parent.list_reference["files"][_row_selected] def get_row_selected(self): _selection = self.parent.ui.tableWidget.selectedRanges()[0] @@ -84,13 +83,13 @@ def get_reference_index_selected_from_row(self, row=0): def get_reference_file_selected_for_this_row(self, row=0): combobox_index_selected = self.get_reference_index_selected_from_row(row=row) - return self.parent.list_reference['files'][combobox_index_selected] + return self.parent.list_reference["files"][combobox_index_selected] def get_target_file_selected_for_this_row(self, row=0): combobox_index_selected = self.get_target_index_selected_from_row(row=row) - return self.parent.list_target['files'][combobox_index_selected] + return self.parent.list_target["files"][combobox_index_selected] - def set_status_of_this_row_to_message(self, row=0, message=''): + def set_status_of_this_row_to_message(self, row=0, message=""): self.parent.ui.tableWidget.item(row, 2).setText(message) def reset_all_status(self): @@ -99,17 +98,17 @@ def reset_all_status(self): self.set_status_of_this_row_to_message(row=_row, message="") @staticmethod - def button_pressed(ui=None, name='left'): - full_file = Utilities.__make_full_file_name_to_static_folder_of(config.button[name]['pressed']) + def button_pressed(ui=None, name="left"): + full_file = Utilities.__make_full_file_name_to_static_folder_of(config.button[name]["pressed"]) ui.setIcon(QtGui.QIcon(full_file)) @staticmethod - def button_released(ui=None, name='left'): - full_file = Utilities.__make_full_file_name_to_static_folder_of(config.button[name]['released']) + def button_released(ui=None, name="left"): + full_file = Utilities.__make_full_file_name_to_static_folder_of(config.button[name]["released"]) ui.setIcon(QtGui.QIcon(full_file)) @staticmethod def __make_full_file_name_to_static_folder_of(file_name): - _file_path = os.path.join(os.path.dirname(os.path.dirname(__file__)), 'static') + _file_path = os.path.join(os.path.dirname(os.path.dirname(__file__)), "static") full_path_file = os.path.abspath(os.path.join(_file_path, file_name)) return full_path_file diff --git a/notebooks/__code/panoramic_stitching_for_tof/automatically_stitch.py b/notebooks/__code/panoramic_stitching_for_tof/automatically_stitch.py index a7ea1367..50e6faed 100755 --- a/notebooks/__code/panoramic_stitching_for_tof/automatically_stitch.py +++ b/notebooks/__code/panoramic_stitching_for_tof/automatically_stitch.py @@ -1,11 +1,9 @@ -import numpy as np from qtpy import QtGui from __code.panoramic_stitching.get import Get class AutomaticallyStitch: - # get offset values of current group selected # collect metadata values for each image and calculate xoffset and yoffset in pixel versus motor value # loop through the other groups and calculate xoffset and yoffset using local motor value @@ -15,7 +13,7 @@ def __init__(self, parent=None): def run(self): nbr_group = len(self.parent.data_dictionary.keys()) - self.parent.eventProgress.setMaximum(nbr_group-1) + self.parent.eventProgress.setMaximum(nbr_group - 1) self.parent.eventProgress.setValue(0) self.parent.eventProgress.setVisible(True) @@ -31,8 +29,8 @@ def run(self): list_pixel_vs_motor_lift_axis_value = [] for _file_index, _file in enumerate(list_files): - long_axis_value = group_reference_data_dictionary[_file].metadata['MotLongAxis.RBV'] - lift_axis_value = group_reference_data_dictionary[_file].metadata['MotLiftTable.RBV'] + long_axis_value = group_reference_data_dictionary[_file].metadata["MotLongAxis.RBV"] + lift_axis_value = group_reference_data_dictionary[_file].metadata["MotLiftTable.RBV"] if _file_index == 0: long_axis_reference_value = long_axis_value @@ -42,8 +40,8 @@ def run(self): list_pixel_vs_motor_lift_axis_value.append(0) continue - xoffset = group_reference_offset_dictionary[_file]['xoffset'] - yoffset = group_reference_offset_dictionary[_file]['yoffset'] + xoffset = group_reference_offset_dictionary[_file]["xoffset"] + yoffset = group_reference_offset_dictionary[_file]["yoffset"] diff_long_axis = long_axis_value - long_axis_reference_value diff_lift_axis = lift_axis_value - lift_axis_reference_value @@ -63,7 +61,6 @@ def run(self): # loop through all the groups and apply correction for _group_index, _group in enumerate(self.parent.offset_dictionary.keys()): - # current group is the reference group if _group == group_selected: continue @@ -77,22 +74,21 @@ def run(self): # get xoffset and yofffset pixel/motor position of each image of reference group for _file_index, _file in enumerate(list_files): - if _file_index == 0: - long_axis_value_image_reference = data_dictionary[_file].metadata['MotLongAxis.RBV'] - lift_axis_value_image_reference = data_dictionary[_file].metadata['MotLiftTable.RBV'] + long_axis_value_image_reference = data_dictionary[_file].metadata["MotLongAxis.RBV"] + lift_axis_value_image_reference = data_dictionary[_file].metadata["MotLiftTable.RBV"] continue - long_axis_value = data_dictionary[_file].metadata['MotLongAxis.RBV'] - long_axis_value_image_reference - lift_axis_value = data_dictionary[_file].metadata['MotLiftTable.RBV'] - lift_axis_value_image_reference + long_axis_value = data_dictionary[_file].metadata["MotLongAxis.RBV"] - long_axis_value_image_reference + lift_axis_value = data_dictionary[_file].metadata["MotLiftTable.RBV"] - lift_axis_value_image_reference xoffset_of_this_file = int(long_axis_value * list_pixel_vs_motor_long_axis_value[_file_index]) yoffset_of_this_file = int(lift_axis_value * list_pixel_vs_motor_lift_axis_value[_file_index]) - group_offset_dictionary[_file]['xoffset'] = xoffset_of_this_file - group_offset_dictionary[_file]['yoffset'] = yoffset_of_this_file + group_offset_dictionary[_file]["xoffset"] = xoffset_of_this_file + group_offset_dictionary[_file]["yoffset"] = yoffset_of_this_file - self.parent.eventProgress.setValue(_group_index+1) + self.parent.eventProgress.setValue(_group_index + 1) QtGui.QGuiApplication.processEvents() self.parent.eventProgress.setVisible(False) diff --git a/notebooks/__code/panoramic_stitching_for_tof/best_contrast_tab_handler.py b/notebooks/__code/panoramic_stitching_for_tof/best_contrast_tab_handler.py index 8d6bf069..8a5c23d8 100755 --- a/notebooks/__code/panoramic_stitching_for_tof/best_contrast_tab_handler.py +++ b/notebooks/__code/panoramic_stitching_for_tof/best_contrast_tab_handler.py @@ -1,14 +1,14 @@ +import os + import numpy as np -from qtpy.QtWidgets import QApplication from qtpy import QtCore, QtGui -import os +from qtpy.QtWidgets import QApplication from __code.panoramic_stitching_for_tof.get import Get from __code.panoramic_stitching_for_tof.load_data import MetadataData class BestContrastTabHandler: - def __init__(self, parent=None): self.parent = parent @@ -38,7 +38,7 @@ def display_selected_folder(self): # if self.parent.ui.raw_image_radioButton.isChecked(): # self.parent.histogram_level_raw_image[folder_name] = _histo_widget.getLevels() - #else: + # else: # self.parent.histogram_level_best_contrast = _histo_widget.getLevels() _image = np.transpose(image) @@ -62,7 +62,7 @@ def calculate_best_contrast(self): # 1 loop of nbr_folder to calculate all_data # +1 to calculate best contrast bin coefficient # 1 loop of nbr_folder to calculate best contrast image - self.parent.eventProgress.setMaximum(nbr_folders*2 + 1) + self.parent.eventProgress.setMaximum(nbr_folders * 2 + 1) self.parent.eventProgress.setValue(0) self.parent.eventProgress.setVisible(True) @@ -72,8 +72,10 @@ def calculate_best_contrast(self): # loop over list of folders to gather all the data into [nbr_files, height_image, width_image] for _folder in self.parent.list_folders: folder_key = os.path.basename(_folder) - tmp_all_data = [self.parent.data_dictionary[folder_key][_key].data - for _key in self.parent.data_dictionary[folder_key].keys()] + tmp_all_data = [ + self.parent.data_dictionary[folder_key][_key].data + for _key in self.parent.data_dictionary[folder_key].keys() + ] # remove first 100 and last 100 (too noisy) all_data[folder_key] = tmp_all_data[100:-100] @@ -83,11 +85,10 @@ def calculate_best_contrast(self): o_get = Get(parent=self.parent) folder_selected = o_get.get_combobox_full_name_folder_selected() - best_bin_index = {'numerator': 0, 'denominator': 0} + best_bin_index = {"numerator": 0, "denominator": 0} # calculate best contrast only of folder selected for _folder in self.parent.list_folders: - if not _folder == folder_selected: continue @@ -96,23 +97,24 @@ def calculate_best_contrast(self): all_data_of_folder = all_data[folder_key] list_mean_counts_of_bin = [] - while left_bin_index < len(list_bin)-1: - data_bin = all_data_of_folder[list_bin[left_bin_index]:list_bin[left_bin_index+1]] + while left_bin_index < len(list_bin) - 1: + data_bin = all_data_of_folder[list_bin[left_bin_index] : list_bin[left_bin_index + 1]] mean_data_bin = np.nanmean(data_bin) list_mean_counts_of_bin.append(mean_data_bin) left_bin_index += 1 max_ratio_value = 0 - for _bin_index_numerator in np.arange(len(list_bin)-1): - for _bin_index_denominator in np.arange(len(list_bin)-1): - bin_ratio = list_mean_counts_of_bin[_bin_index_numerator] / \ - list_mean_counts_of_bin[_bin_index_denominator] + for _bin_index_numerator in np.arange(len(list_bin) - 1): + for _bin_index_denominator in np.arange(len(list_bin) - 1): + bin_ratio = ( + list_mean_counts_of_bin[_bin_index_numerator] / list_mean_counts_of_bin[_bin_index_denominator] + ) diff_with_1 = np.abs(1 - bin_ratio) if diff_with_1 > max_ratio_value: max_ratio_value = diff_with_1 - best_bin_index['numerator'] = _bin_index_numerator - best_bin_index['denominator'] = _bin_index_denominator + best_bin_index["numerator"] = _bin_index_numerator + best_bin_index["denominator"] = _bin_index_denominator self.parent.eventProgress.setValue(progress_index) progress_index += 1 @@ -120,20 +122,21 @@ def calculate_best_contrast(self): # calculate the best contrast image for all folders for _folder in self.parent.list_folders: - folder_key = os.path.basename(_folder) all_data_of_folder = all_data[folder_key] - image1 = all_data_of_folder[list_bin[best_bin_index['numerator']]: - list_bin[best_bin_index['numerator']+1]] + image1 = all_data_of_folder[ + list_bin[best_bin_index["numerator"]] : list_bin[best_bin_index["numerator"] + 1] + ] image_numerator_mean = np.mean(image1, axis=0) - image2 = all_data_of_folder[list_bin[best_bin_index['denominator']]: - list_bin[best_bin_index['denominator'] + 1]] + image2 = all_data_of_folder[ + list_bin[best_bin_index["denominator"]] : list_bin[best_bin_index["denominator"] + 1] + ] image_denominator_mean = np.mean(image2, axis=0) index_of_0 = np.where(image_denominator_mean == 0) - image_denominator_mean[index_of_0] = np.NaN + image_denominator_mean[index_of_0] = np.nan _data = np.true_divide(image_numerator_mean, image_denominator_mean) o_data = MetadataData() diff --git a/notebooks/__code/panoramic_stitching_for_tof/coarse_tab_handler.py b/notebooks/__code/panoramic_stitching_for_tof/coarse_tab_handler.py index 7d35cceb..03a35db1 100755 --- a/notebooks/__code/panoramic_stitching_for_tof/coarse_tab_handler.py +++ b/notebooks/__code/panoramic_stitching_for_tof/coarse_tab_handler.py @@ -1,4 +1,5 @@ import os + import numpy as np from qtpy.QtWidgets import QComboBox @@ -6,13 +7,12 @@ class CoarseTabHandler: - def __init__(self, parent=None): self.parent = parent def initialize_table(self): list_folders = self.parent.list_folders - short_list_folders = [''] + [os.path.basename(_file) for _file in list_folders] + short_list_folders = [""] + [os.path.basename(_file) for _file in list_folders] nbr_folders = len(list_folders) o_table = TableHandler(table_ui=self.parent.ui.coarse_alignment_tableWidget) @@ -75,8 +75,10 @@ def combobox_changed(self): data = data_dictionary[folder_name].data real_row_nbr = _row - nbr_empty_rows real_col_nbr = _column - nbr_empty_columns - panoramic_image[real_row_nbr*image_height:(real_row_nbr+1)*image_height, - real_col_nbr*image_width:(real_col_nbr+1)*image_width] = data + panoramic_image[ + real_row_nbr * image_height : (real_row_nbr + 1) * image_height, + real_col_nbr * image_width : (real_col_nbr + 1) * image_width, + ] = data self.parent.coarse_panoramic_image = panoramic_image @@ -110,4 +112,3 @@ def update_coarse_panoramic_image(self): self.parent.ui.image_view_coarse_alignment.clear() else: self.parent.ui.image_view_coarse_alignment.setImage(_image) - diff --git a/notebooks/__code/panoramic_stitching_for_tof/data_initialization.py b/notebooks/__code/panoramic_stitching_for_tof/data_initialization.py index 5cc23dbe..6fbcaf51 100755 --- a/notebooks/__code/panoramic_stitching_for_tof/data_initialization.py +++ b/notebooks/__code/panoramic_stitching_for_tof/data_initialization.py @@ -1,17 +1,16 @@ -from collections import OrderedDict import copy +from collections import OrderedDict + import numpy as np -import os from __code._utilities.table_handler import TableHandler from __code.panoramic_stitching_for_tof.coarse_tab_handler import CoarseTabHandler -X_METADATA_NAME = 'MotLongAxis.RBV' -Y_METADATA_NAME = 'MotLiftTable.RBV' +X_METADATA_NAME = "MotLongAxis.RBV" +Y_METADATA_NAME = "MotLiftTable.RBV" class DataInitialization: - def __init__(self, parent=None): self.parent = parent @@ -40,9 +39,7 @@ def offset_table(self): if not folder_name == "": xoffset = (_column - nbr_empty_columns) * image_width yoffset = (_row - nbr_empty_rows) * image_height - _offset_dict = {'xoffset': xoffset, - 'yoffset': yoffset, - 'visible': True} + _offset_dict = {"xoffset": xoffset, "yoffset": yoffset, "visible": True} offset_dictionary[folder_name] = _offset_dict self.parent.offset_dictionary = offset_dictionary diff --git a/notebooks/__code/panoramic_stitching_for_tof/event_handler.py b/notebooks/__code/panoramic_stitching_for_tof/event_handler.py index e40e876a..c3c71946 100755 --- a/notebooks/__code/panoramic_stitching_for_tof/event_handler.py +++ b/notebooks/__code/panoramic_stitching_for_tof/event_handler.py @@ -1,12 +1,11 @@ import copy + import numpy as np from __code._utilities.table_handler import TableHandler -from __code.panoramic_stitching_for_tof.get import Get class TOFEventHandler: - def __init__(self, parent=None): self.parent = parent @@ -62,10 +61,10 @@ def save_table_offset_of_this_cell(self, row=-1, column=-1, state=-1): offset_value = int(o_table.get_item_str_from_cell(row=row, column=column)) if column == 1: - offset_dictionary[folder_name]['xoffset'] = offset_value + offset_dictionary[folder_name]["xoffset"] = offset_value elif column == 2: - offset_dictionary[folder_name]['yoffset'] = offset_value + offset_dictionary[folder_name]["yoffset"] = offset_value elif column == 3: is_visible = True if state == 2 else False - offset_dictionary[folder_name]['visible'] = is_visible + offset_dictionary[folder_name]["visible"] = is_visible self.parent.offset_dictionary = offset_dictionary diff --git a/notebooks/__code/panoramic_stitching_for_tof/export.py b/notebooks/__code/panoramic_stitching_for_tof/export.py index c0fd8056..dc86ed55 100755 --- a/notebooks/__code/panoramic_stitching_for_tof/export.py +++ b/notebooks/__code/panoramic_stitching_for_tof/export.py @@ -1,30 +1,29 @@ +import glob import os -from qtpy.QtWidgets import QFileDialog -from qtpy import QtGui -import numpy as np from collections import OrderedDict -import glob +import numpy as np from NeuNorm.normalization import Normalization +from qtpy import QtGui +from qtpy.QtWidgets import QFileDialog -from __code.file_handler import make_or_reset_folder +from __code.file_handler import copy_and_rename_files_to_folder, make_or_reset_folder from __code.panoramic_stitching_for_tof.image_handler import HORIZONTAL_MARGIN, VERTICAL_MARGIN -from __code.file_handler import copy_and_rename_files_to_folder FILE_PREFIX = "image_" class Export: - def __init__(self, parent=None): self.parent = parent def run(self): - output_folder = QFileDialog.getExistingDirectory(self.parent, - directory=self.parent.working_dir, - caption="Select where the folder containing the " - "panoramic images will be created!", - options=QFileDialog.ShowDirsOnly) + output_folder = QFileDialog.getExistingDirectory( + self.parent, + directory=self.parent.working_dir, + caption="Select where the folder containing the " "panoramic images will be created!", + options=QFileDialog.ShowDirsOnly, + ) if output_folder: self.parent.ui.setEnabled(False) QtGui.QGuiApplication.processEvents() @@ -55,33 +54,38 @@ def create_panoramic_images(self, output_folder=None): for _file_index in np.arange(nbr_files): panoramic_image = np.zeros((panoramic_height, panoramic_width)) for _folder_index, _folder in enumerate(data_dictionary.keys()): - - xoffset = offset_dictionary[_folder]['xoffset'] - yoffset = offset_dictionary[_folder]['yoffset'] + xoffset = offset_dictionary[_folder]["xoffset"] + yoffset = offset_dictionary[_folder]["yoffset"] list_files = list(data_dictionary[_folder].keys()) image = data_dictionary[_folder][list_files[_file_index]].data if _folder_index == 0: - panoramic_image[yoffset+VERTICAL_MARGIN: yoffset+image_height+VERTICAL_MARGIN, - xoffset+HORIZONTAL_MARGIN: xoffset+image_width+HORIZONTAL_MARGIN] = image + panoramic_image[ + yoffset + VERTICAL_MARGIN : yoffset + image_height + VERTICAL_MARGIN, + xoffset + HORIZONTAL_MARGIN : xoffset + image_width + HORIZONTAL_MARGIN, + ] = image continue temp_big_image = np.zeros((panoramic_height, panoramic_width)) - temp_big_image[yoffset+VERTICAL_MARGIN: yoffset+image_height+VERTICAL_MARGIN, - xoffset+HORIZONTAL_MARGIN: xoffset+image_width+HORIZONTAL_MARGIN] = image + temp_big_image[ + yoffset + VERTICAL_MARGIN : yoffset + image_height + VERTICAL_MARGIN, + xoffset + HORIZONTAL_MARGIN : xoffset + image_width + HORIZONTAL_MARGIN, + ] = image where_temp_big_image_has_value_only = np.where((temp_big_image != 0) & (panoramic_image == 0)) where_both_images_overlap = np.where((panoramic_image != 0) & (temp_big_image != 0)) - panoramic_image[where_temp_big_image_has_value_only] = \ - temp_big_image[where_temp_big_image_has_value_only] - panoramic_image[where_both_images_overlap] = (panoramic_image[where_both_images_overlap] + - temp_big_image[where_both_images_overlap]) / 2 + panoramic_image[where_temp_big_image_has_value_only] = temp_big_image[ + where_temp_big_image_has_value_only + ] + panoramic_image[where_both_images_overlap] = ( + panoramic_image[where_both_images_overlap] + temp_big_image[where_both_images_overlap] + ) / 2 - file_name = FILE_PREFIX + "{:04d}.tiff".format(_file_index) + file_name = FILE_PREFIX + f"{_file_index:04d}.tiff" panoramic_images_dict[file_name] = panoramic_image self.parent.eventProgress.setValue(_file_index + 1) @@ -91,9 +95,8 @@ def create_panoramic_images(self, output_folder=None): self.parent.eventProgress.setVisible(False) def export_images(self, output_folder=None): - new_folder_name = os.path.basename(self.parent.working_dir) + "_panoramic" - self.parent.ui.statusbar.showMessage("Exporting images in folder {}".format(new_folder_name)) + self.parent.ui.statusbar.showMessage(f"Exporting images in folder {new_folder_name}") QtGui.QGuiApplication.processEvents() new_output_folder_name = os.path.join(output_folder, new_folder_name) @@ -109,12 +112,12 @@ def export_images(self, output_folder=None): o_norm = Normalization() o_norm.load(data=list_data) - o_norm.data['sample']['filename'] = list_filename - o_norm.export(new_output_folder_name, data_type='sample') + o_norm.data["sample"]["filename"] = list_filename + o_norm.export(new_output_folder_name, data_type="sample") self.copy_txt_files_to_output_folder(output_folder=new_output_folder_name) - self.parent.ui.statusbar.showMessage("{} has been created!".format(new_output_folder_name), 10000) # 10s + self.parent.ui.statusbar.showMessage(f"{new_output_folder_name} has been created!", 10000) # 10s QtGui.QGuiApplication.processEvents() def copy_txt_files_to_output_folder(self, output_folder=None): @@ -129,6 +132,6 @@ def copy_txt_files_to_output_folder(self, output_folder=None): new_name = split_name[-1] list_new_file_names.append(new_name) - copy_and_rename_files_to_folder(list_files=list_txt_files, - new_list_files_names=list_new_file_names, - output_folder=output_folder) + copy_and_rename_files_to_folder( + list_files=list_txt_files, new_list_files_names=list_new_file_names, output_folder=output_folder + ) diff --git a/notebooks/__code/panoramic_stitching_for_tof/fine_tab_handler.py b/notebooks/__code/panoramic_stitching_for_tof/fine_tab_handler.py index 4f3847fb..ec1ac54b 100755 --- a/notebooks/__code/panoramic_stitching_for_tof/fine_tab_handler.py +++ b/notebooks/__code/panoramic_stitching_for_tof/fine_tab_handler.py @@ -1,16 +1,14 @@ -from qtpy.QtWidgets import QHBoxLayout, QCheckBox, QSpacerItem, QSizePolicy, QWidget -from qtpy import QtCore -import numpy as np import pyqtgraph as pg +from qtpy import QtCore +from qtpy.QtWidgets import QCheckBox, QHBoxLayout, QSizePolicy, QSpacerItem, QWidget from __code._utilities.table_handler import TableHandler -from __code.panoramic_stitching_for_tof.image_handler import ImageHandler -from __code.panoramic_stitching_for_tof.event_handler import TOFEventHandler from __code.panoramic_stitching.gui_handler import GuiHandler +from __code.panoramic_stitching_for_tof.event_handler import TOFEventHandler +from __code.panoramic_stitching_for_tof.image_handler import ImageHandler class FineTabHandler: - def __init__(self, parent=None): self.parent = parent @@ -28,44 +26,38 @@ def initialize_table_of_offset(self): o_table.insert_empty_row(row=_row_index) offset_entry = offset_dictionary[_folder] - xoffset = offset_entry['xoffset'] - yoffset = offset_entry['yoffset'] + xoffset = offset_entry["xoffset"] + yoffset = offset_entry["yoffset"] list_items = [_folder, xoffset, yoffset] for _column_index, _text in enumerate(list_items): - if _row_index == 0: editable_flag = False else: editable_flag = editable_columns_boolean[_column_index] - o_table.insert_item(row=_row_index, - column=_column_index, - value=_text, - editable=editable_flag) + o_table.insert_item(row=_row_index, column=_column_index, value=_text, editable=editable_flag) # checkbox to turn on/off the visibility of the row hori_layout = QHBoxLayout() spacer_item_left = QSpacerItem(408, 20, QSizePolicy.Expanding, QSizePolicy.Expanding) hori_layout.addItem(spacer_item_left) check_box = QCheckBox() - if offset_entry['visible']: + if offset_entry["visible"]: _state = QtCore.Qt.Checked else: _state = QtCore.Qt.Unchecked check_box.setCheckState(_state) - check_box.stateChanged.connect(lambda state=0, row=_row_index: - self.parent.visibility_checkbox_changed(state=state, - row=row)) + check_box.stateChanged.connect( + lambda state=0, row=_row_index: self.parent.visibility_checkbox_changed(state=state, row=row) + ) hori_layout.addWidget(check_box) spacer_item_right = QSpacerItem(408, 20, QSizePolicy.Expanding, QSizePolicy.Expanding) hori_layout.addItem(spacer_item_right) cell_widget = QWidget() cell_widget.setLayout(hori_layout) - o_table.insert_widget(row=_row_index, - column=3, - widget=cell_widget) + o_table.insert_widget(row=_row_index, column=3, widget=cell_widget) o_table.select_row(0) self.parent.ui.tableWidget.blockSignals(False) @@ -97,25 +89,29 @@ def check_status_of_from_to_checkbox(self): self.enabled_all_manual_widgets(state=state_button) def enabled_all_manual_widgets(self, state=True): - list_ui = [self.parent.ui.left_button, - self.parent.ui.left_left_button, - self.parent.ui.right_button, - self.parent.ui.right_right_button, - self.parent.ui.up_button, - self.parent.ui.up_up_button, - self.parent.ui.down_button, - self.parent.ui.down_down_button] + list_ui = [ + self.parent.ui.left_button, + self.parent.ui.left_left_button, + self.parent.ui.right_button, + self.parent.ui.right_right_button, + self.parent.ui.up_button, + self.parent.ui.up_up_button, + self.parent.ui.down_button, + self.parent.ui.down_down_button, + ] for _ui in list_ui: _ui.setEnabled(state) - def roi_box_changed(self, roi_id=None, ): - region = roi_id.getArraySlice(self.parent.current_live_image, - self.parent.ui.image_view.imageItem) + def roi_box_changed( + self, + roi_id=None, + ): + region = roi_id.getArraySlice(self.parent.current_live_image, self.parent.ui.image_view.imageItem) x0 = region[0][0].start y0 = region[0][1].start - return {'x': x0, 'y': y0} + return {"x": x0, "y": y0} def from_roi_box_changed(self): self.parent.from_roi = self.roi_box_changed(roi_id=self.parent.from_roi_id) @@ -136,12 +132,12 @@ def from_to_button_pushed(self): from_roi = self.parent.from_roi to_roi = self.parent.to_roi - from_x = from_roi['x'] - to_x = to_roi['x'] + from_x = from_roi["x"] + to_x = to_roi["x"] delta_x = from_x - to_x - from_y = from_roi['y'] - to_y = to_roi['y'] + from_y = from_roi["y"] + to_y = to_roi["y"] delta_y = from_y - to_y o_table = TableHandler(table_ui=self.parent.ui.tableWidget) @@ -171,25 +167,25 @@ def horizontal_profile(self, enabled=True): horizontal_profile = self.parent.horizontal_profile if enabled: - if horizontal_profile['id']: - self.parent.ui.image_view.addItem(horizontal_profile['id']) + if horizontal_profile["id"]: + self.parent.ui.image_view.addItem(horizontal_profile["id"]) else: - x0 = horizontal_profile['x0'] - x1 = horizontal_profile['x1'] - y = horizontal_profile['y'] - width = horizontal_profile['width'] + x0 = horizontal_profile["x0"] + x1 = horizontal_profile["x1"] + y = horizontal_profile["y"] + width = horizontal_profile["width"] - roi = pg.ROI([x0, y], [x1-x0, width]) + roi = pg.ROI([x0, y], [x1 - x0, width]) roi.addScaleHandle([0.5, 0], [0, 0]) self.parent.ui.image_view.addItem(roi) - self.parent.horizontal_profile['id'] = roi + self.parent.horizontal_profile["id"] = roi roi.sigRegionChanged.connect(self.parent.horizontal_profile_changed) self.parent.horizontal_profile_changed() else: - if horizontal_profile['id']: - self.parent.ui.image_view.removeItem(horizontal_profile['id']) + if horizontal_profile["id"]: + self.parent.ui.image_view.removeItem(horizontal_profile["id"]) self.parent.horizontal_profile_plot.axes.clear() self.parent.horizontal_profile_plot.draw() @@ -199,24 +195,24 @@ def vertical_profile(self, enabled=True): vertical_profile = self.parent.vertical_profile if enabled: - if vertical_profile['id']: - self.parent.ui.image_view.addItem(vertical_profile['id']) + if vertical_profile["id"]: + self.parent.ui.image_view.addItem(vertical_profile["id"]) else: - x = vertical_profile['x'] - y0 = vertical_profile['y0'] - y1 = vertical_profile['y1'] - width = vertical_profile['width'] + x = vertical_profile["x"] + y0 = vertical_profile["y0"] + y1 = vertical_profile["y1"] + width = vertical_profile["width"] - roi = pg.ROI([x, y0], [width, y1-y0]) + roi = pg.ROI([x, y0], [width, y1 - y0]) roi.addScaleHandle([0, 0.5], [0, 0]) self.parent.ui.image_view.addItem(roi) - self.parent.vertical_profile['id'] = roi + self.parent.vertical_profile["id"] = roi roi.sigRegionChanged.connect(self.parent.vertical_profile_changed) self.parent.vertical_profile_changed() else: - if vertical_profile['id']: - self.parent.ui.image_view.removeItem(vertical_profile['id']) + if vertical_profile["id"]: + self.parent.ui.image_view.removeItem(vertical_profile["id"]) self.parent.vertical_profile_plot.axes.clear() self.parent.vertical_profile_plot.draw() diff --git a/notebooks/__code/panoramic_stitching_for_tof/get.py b/notebooks/__code/panoramic_stitching_for_tof/get.py index 8e5bf120..10c5a604 100755 --- a/notebooks/__code/panoramic_stitching_for_tof/get.py +++ b/notebooks/__code/panoramic_stitching_for_tof/get.py @@ -1,11 +1,11 @@ import os + import numpy as np from __code._utilities.table_handler import TableHandler class Get: - def __init__(self, parent=None): self.parent = parent diff --git a/notebooks/__code/panoramic_stitching_for_tof/gui_initialization.py b/notebooks/__code/panoramic_stitching_for_tof/gui_initialization.py index 6ff46971..19ba1655 100755 --- a/notebooks/__code/panoramic_stitching_for_tof/gui_initialization.py +++ b/notebooks/__code/panoramic_stitching_for_tof/gui_initialization.py @@ -1,32 +1,28 @@ import os + +import matplotlib import pyqtgraph as pg -from qtpy.QtWidgets import QVBoxLayout, QProgressBar from qtpy.QtGui import QIcon -import matplotlib -import numpy as np +from qtpy.QtWidgets import QProgressBar, QVBoxLayout -matplotlib.use('Qt5Agg') +matplotlib.use("Qt5Agg") from matplotlib.backends.backend_qt5agg import NavigationToolbar2QT as NavigationToolbar -from __code.panoramic_stitching_for_tof.coarse_tab_handler import CoarseTabHandler - -from __code.panoramic_stitching.mplcanvas import MplCanvas from __code._utilities.table_handler import TableHandler -from __code.panoramic_stitching.utilities import make_full_file_name_to_static_folder_of, set_widgets_size from __code.panoramic_stitching.config_buttons import button from __code.panoramic_stitching.gui_handler import GuiHandler +from __code.panoramic_stitching.mplcanvas import MplCanvas +from __code.panoramic_stitching.utilities import make_full_file_name_to_static_folder_of, set_widgets_size +from __code.panoramic_stitching_for_tof.coarse_tab_handler import CoarseTabHandler class GuiInitialization: - button_size = {'single_arrow' : {'width' : 50, - 'height': 50}, - 'double_arrow' : {'width' : 65, - 'height': 50}, - 'single_vertical_arrow': {'width' : 50, - 'height': 50}, - 'double_vertical_arrow': {'width' : 50, - 'height': 65}, - } + button_size = { + "single_arrow": {"width": 50, "height": 50}, + "double_arrow": {"width": 65, "height": 50}, + "single_vertical_arrow": {"width": 50, "height": 50}, + "double_vertical_arrow": {"width": 50, "height": 65}, + } def __init__(self, parent=None): self.parent = parent @@ -47,8 +43,7 @@ def tab(self): self.parent.ui.top_tabWidget.setTabEnabled(2, False) def block_signals(self, status): - list_ui = [self.parent.ui.list_folders_combobox, - self.parent.ui.tableWidget] + list_ui = [self.parent.ui.list_folders_combobox, self.parent.ui.tableWidget] for _ui in list_ui: _ui.blockSignals(status) @@ -61,7 +56,7 @@ def splitter(self): def pyqtgraph(self): # calculate best contrast images _view1 = pg.PlotItem() - self.parent.ui.image_view_best_contrast = pg.ImageView(view=_view1, name='view1') + self.parent.ui.image_view_best_contrast = pg.ImageView(view=_view1, name="view1") self.parent.ui.image_view_best_contrast.ui.roiBtn.hide() self.parent.ui.image_view_best_contrast.ui.menuBtn.hide() image_layout_best_contrast = QVBoxLayout() @@ -79,7 +74,7 @@ def pyqtgraph(self): # stitch images _view2 = pg.PlotItem() - self.parent.ui.image_view = pg.ImageView(view=_view2, name='view2') + self.parent.ui.image_view = pg.ImageView(view=_view2, name="view2") self.parent.ui.image_view.ui.roiBtn.hide() self.parent.ui.image_view.ui.menuBtn.hide() image_layout = QVBoxLayout() @@ -97,10 +92,12 @@ def _matplotlib(parent=None, widget=None): widget.setLayout(layout) return sc - self.parent.horizontal_profile_plot = _matplotlib(parent=self.parent, - widget=self.parent.ui.horizontal_profile_plot_widget) - self.parent.vertical_profile_plot = _matplotlib(parent=self.parent, - widget=self.parent.ui.vertical_profile_plot_widget) + self.parent.horizontal_profile_plot = _matplotlib( + parent=self.parent, widget=self.parent.ui.horizontal_profile_plot_widget + ) + self.parent.vertical_profile_plot = _matplotlib( + parent=self.parent, widget=self.parent.ui.vertical_profile_plot_widget + ) def widgets(self): # list_folders @@ -113,57 +110,51 @@ def widgets(self): # move buttons _file_path = os.path.dirname(__file__) - up_up_arrow_file = make_full_file_name_to_static_folder_of(button['up_up'] - ['released']) + up_up_arrow_file = make_full_file_name_to_static_folder_of(button["up_up"]["released"]) self.parent.ui.up_up_button.setIcon(QIcon(up_up_arrow_file)) - up_arrow_file = make_full_file_name_to_static_folder_of(button['up'] - ['released']) + up_arrow_file = make_full_file_name_to_static_folder_of(button["up"]["released"]) self.parent.ui.up_button.setIcon(QIcon(up_arrow_file)) - left_left_arrow_file = make_full_file_name_to_static_folder_of(button[ - 'left_left'] - ['released']) + left_left_arrow_file = make_full_file_name_to_static_folder_of(button["left_left"]["released"]) self.parent.ui.left_left_button.setIcon(QIcon(left_left_arrow_file)) - left_arrow_file = make_full_file_name_to_static_folder_of(button['left'] - ['released']) + left_arrow_file = make_full_file_name_to_static_folder_of(button["left"]["released"]) self.parent.ui.left_button.setIcon(QIcon(left_arrow_file)) - right_arrow_file = make_full_file_name_to_static_folder_of(button['right'] - ['released']) + right_arrow_file = make_full_file_name_to_static_folder_of(button["right"]["released"]) self.parent.ui.right_button.setIcon(QIcon(right_arrow_file)) - right_right_arrow_file = make_full_file_name_to_static_folder_of(button['right_right'] - ['released']) + right_right_arrow_file = make_full_file_name_to_static_folder_of(button["right_right"]["released"]) self.parent.ui.right_right_button.setIcon(QIcon(right_right_arrow_file)) - down_arrow_file = make_full_file_name_to_static_folder_of(button['down'] - ['released']) + down_arrow_file = make_full_file_name_to_static_folder_of(button["down"]["released"]) self.parent.ui.down_button.setIcon(QIcon(down_arrow_file)) - down_down_arrow_file = make_full_file_name_to_static_folder_of(button[ - 'down_down'] - ['released']) + down_down_arrow_file = make_full_file_name_to_static_folder_of(button["down_down"]["released"]) self.parent.ui.down_down_button.setIcon(QIcon(down_down_arrow_file)) - list_ui = [self.parent.ui.left_button, - self.parent.ui.right_button] - set_widgets_size(widgets=list_ui, - width=self.button_size['single_arrow']['width'], - height=self.button_size['single_arrow']['height']) - - list_ui = [self.parent.ui.left_left_button, - self.parent.ui.right_right_button] - set_widgets_size(widgets=list_ui, - width=self.button_size['double_arrow']['width'], - height=self.button_size['double_arrow']['height']) - - list_ui = [self.parent.ui.up_button, - self.parent.ui.down_button] - set_widgets_size(widgets=list_ui, - width=self.button_size['single_vertical_arrow']['width'], - height=self.button_size['single_vertical_arrow']['height']) - - list_ui = [self.parent.ui.up_up_button, - self.parent.ui.down_down_button] - set_widgets_size(widgets=list_ui, - width=self.button_size['double_vertical_arrow']['width'], - height=self.button_size['double_vertical_arrow']['height']) + list_ui = [self.parent.ui.left_button, self.parent.ui.right_button] + set_widgets_size( + widgets=list_ui, + width=self.button_size["single_arrow"]["width"], + height=self.button_size["single_arrow"]["height"], + ) + + list_ui = [self.parent.ui.left_left_button, self.parent.ui.right_right_button] + set_widgets_size( + widgets=list_ui, + width=self.button_size["double_arrow"]["width"], + height=self.button_size["double_arrow"]["height"], + ) + + list_ui = [self.parent.ui.up_button, self.parent.ui.down_button] + set_widgets_size( + widgets=list_ui, + width=self.button_size["single_vertical_arrow"]["width"], + height=self.button_size["single_vertical_arrow"]["height"], + ) + + list_ui = [self.parent.ui.up_up_button, self.parent.ui.down_down_button] + set_widgets_size( + widgets=list_ui, + width=self.button_size["double_vertical_arrow"]["width"], + height=self.button_size["double_vertical_arrow"]["height"], + ) state_hori_matplotlib = self.parent.ui.enable_horizontal_profile_checkbox.isChecked() o_gui = GuiHandler(parent=self.parent) @@ -172,16 +163,15 @@ def widgets(self): state_verti_matplotlib = self.parent.ui.enable_vertical_profile_checkbox.isChecked() o_gui.enabled_vertical_profile_widgets(enabled=state_verti_matplotlib) - profile_sliders = [self.parent.ui.horizontal_profile_width_slider, - self.parent.ui.vertical_profile_width_slider] + profile_sliders = [self.parent.ui.horizontal_profile_width_slider, self.parent.ui.vertical_profile_width_slider] for _slider in profile_sliders: - _slider.setMinimum(self.parent.width_profile['min']) - _slider.setMaximum(self.parent.width_profile['max']) - _slider.setValue(self.parent.width_profile['default']) + _slider.setMinimum(self.parent.width_profile["min"]) + _slider.setMaximum(self.parent.width_profile["max"]) + _slider.setValue(self.parent.width_profile["default"]) def table(self): column_sizes = [200, 100, 100, 100] - column_names = ['Folder name', 'xoffset (px)', 'yoffset (px)', 'visible?'] + column_names = ["Folder name", "xoffset (px)", "yoffset (px)", "visible?"] o_table = TableHandler(table_ui=self.parent.tableWidget) o_table.set_column_sizes(column_sizes=column_sizes) o_table.set_column_names(column_names=column_names) diff --git a/notebooks/__code/panoramic_stitching_for_tof/image_handler.py b/notebooks/__code/panoramic_stitching_for_tof/image_handler.py index d4038104..cd273a7f 100755 --- a/notebooks/__code/panoramic_stitching_for_tof/image_handler.py +++ b/notebooks/__code/panoramic_stitching_for_tof/image_handler.py @@ -1,6 +1,6 @@ import numpy as np -from qtpy import QtGui import pyqtgraph as pg +from qtpy import QtGui from __code._utilities.table_handler import TableHandler from __code.panoramic_stitching_for_tof.get import Get @@ -16,7 +16,6 @@ class ImageHandler: - def __init__(self, parent=None): self.parent = parent @@ -30,8 +29,10 @@ def update_contour_plot(self): offset_dictionary = self.parent.offset_dictionary - roi = {'x0': offset_dictionary[name_of_file_selected]['xoffset'], - 'y0': offset_dictionary[name_of_file_selected]['yoffset']} + roi = { + "x0": offset_dictionary[name_of_file_selected]["xoffset"], + "y0": offset_dictionary[name_of_file_selected]["yoffset"], + } if row_selected == 0: _color = COLOR_LOCK @@ -42,15 +43,17 @@ def update_contour_plot(self): _pen = QtGui.QPen() _pen.setColor(_color) _pen.setWidthF(0.01) - _roi_id = pg.ROI([roi['x0'] + HORIZONTAL_MARGIN, roi['y0'] + VERTICAL_MARGIN], - [self.parent.image_width, self.parent.image_height], - pen=_pen, scaleSnap=True, - movable=False) + _roi_id = pg.ROI( + [roi["x0"] + HORIZONTAL_MARGIN, roi["y0"] + VERTICAL_MARGIN], + [self.parent.image_width, self.parent.image_height], + pen=_pen, + scaleSnap=True, + movable=False, + ) self.parent.ui.image_view.addItem(_roi_id) self.parent.contour_image_roi_id = _roi_id def update_current_panoramic_image(self): - _view = self.parent.ui.image_view.getView() _view_box = _view.getViewBox() _state = _view_box.getState() @@ -76,26 +79,32 @@ def update_current_panoramic_image(self): o_get = Get(parent=self.parent) list_folders = o_get.get_list_folders_according_to_offset_table() for _folder_index, _folder in enumerate(list_folders): - if _folder_index == 0: - panoramic_image = np.zeros((max_yoffset + image_height + 2*VERTICAL_MARGIN, - max_xoffset + image_width + 2*HORIZONTAL_MARGIN)) + panoramic_image = np.zeros( + ( + max_yoffset + image_height + 2 * VERTICAL_MARGIN, + max_xoffset + image_width + 2 * HORIZONTAL_MARGIN, + ) + ) _image = data_dictionary[_folder].data - is_visible = offset_dictionary[_folder]['visible'] + is_visible = offset_dictionary[_folder]["visible"] if not is_visible: continue if _folder_index == 0: - panoramic_image[VERTICAL_MARGIN:image_height+VERTICAL_MARGIN, - HORIZONTAL_MARGIN:image_width+HORIZONTAL_MARGIN] = _image + panoramic_image[ + VERTICAL_MARGIN : image_height + VERTICAL_MARGIN, + HORIZONTAL_MARGIN : image_width + HORIZONTAL_MARGIN, + ] = _image else: - xoffset = offset_dictionary[_folder]['xoffset'] - yoffset = offset_dictionary[_folder]['yoffset'] + xoffset = offset_dictionary[_folder]["xoffset"] + yoffset = offset_dictionary[_folder]["yoffset"] - panoramic_image[yoffset+VERTICAL_MARGIN: yoffset+image_height+VERTICAL_MARGIN, - xoffset+HORIZONTAL_MARGIN: xoffset+image_width+HORIZONTAL_MARGIN] = \ - _image + panoramic_image[ + yoffset + VERTICAL_MARGIN : yoffset + image_height + VERTICAL_MARGIN, + xoffset + HORIZONTAL_MARGIN : xoffset + image_width + HORIZONTAL_MARGIN, + ] = _image self.parent.panoramic_images = panoramic_image @@ -106,19 +115,17 @@ def update_current_panoramic_image(self): _view_box.setState(_state) if not first_update: - _histo_widget.setLevels(self.parent.histogram_level[0], - self.parent.histogram_level[1]) + _histo_widget.setLevels(self.parent.histogram_level[0], self.parent.histogram_level[1]) def get_max_offset(self): offset_dictionary = self.parent.offset_dictionary - list_xoffset = [offset_dictionary[_key]['xoffset'] for _key in offset_dictionary.keys()] - list_yoffset = [offset_dictionary[_key]['yoffset'] for _key in offset_dictionary.keys()] + list_xoffset = [offset_dictionary[_key]["xoffset"] for _key in offset_dictionary.keys()] + list_yoffset = [offset_dictionary[_key]["yoffset"] for _key in offset_dictionary.keys()] return int(np.max(list_yoffset)), int(np.max(list_xoffset)) def update_from_to_roi(self, state=False): - if self.parent.from_roi_id: self.parent.ui.image_view.removeItem(self.parent.from_roi_id) self.parent.ui.image_view.removeItem(self.parent.to_roi_id) @@ -129,20 +136,16 @@ def update_from_to_roi(self, state=False): if state: from_roi = self.parent.from_roi - x = from_roi['x'] - y = from_roi['y'] - self.parent.from_roi_id = pg.ROI([x, y], - [ROI_WIDTH, ROI_HEIGHT], - scaleSnap=True) + x = from_roi["x"] + y = from_roi["y"] + self.parent.from_roi_id = pg.ROI([x, y], [ROI_WIDTH, ROI_HEIGHT], scaleSnap=True) self.parent.ui.image_view.addItem(self.parent.from_roi_id) self.parent.from_roi_id.sigRegionChanged.connect(self.parent.from_roi_box_changed) to_roi = self.parent.to_roi - x = to_roi['x'] - y = to_roi['y'] - self.parent.to_roi_id = pg.ROI([x, y], - [ROI_WIDTH, ROI_HEIGHT], - scaleSnap=True) + x = to_roi["x"] + y = to_roi["y"] + self.parent.to_roi_id = pg.ROI([x, y], [ROI_WIDTH, ROI_HEIGHT], scaleSnap=True) self.parent.ui.image_view.addItem(self.parent.to_roi_id) self.parent.to_roi_id.sigRegionChanged.connect(self.parent.to_roi_box_changed) @@ -154,8 +157,8 @@ def update_from_to_roi(self, state=False): def update_validity_of_from_to_button(self): # check that from ROI is inside the selected image from_roi = self.parent.from_roi - x = from_roi['x'] - y = from_roi['y'] + x = from_roi["x"] + y = from_roi["y"] o_table = TableHandler(table_ui=self.parent.ui.tableWidget) row_selected = o_table.get_row_selected() @@ -163,12 +166,15 @@ def update_validity_of_from_to_button(self): offset_dictionary = self.parent.offset_dictionary - xoffset_of_selected_image = offset_dictionary[name_of_file_selected]['xoffset'] + HORIZONTAL_MARGIN - yoffset_of_selected_image = offset_dictionary[name_of_file_selected]['yoffset'] + VERTICAL_MARGIN + xoffset_of_selected_image = offset_dictionary[name_of_file_selected]["xoffset"] + HORIZONTAL_MARGIN + yoffset_of_selected_image = offset_dictionary[name_of_file_selected]["yoffset"] + VERTICAL_MARGIN - if (x < xoffset_of_selected_image) or (y < yoffset_of_selected_image) or \ - (x > xoffset_of_selected_image + self.parent.image_width) or \ - (y > yoffset_of_selected_image + self.parent.image_height): + if ( + (x < xoffset_of_selected_image) + or (y < yoffset_of_selected_image) + or (x > xoffset_of_selected_image + self.parent.image_width) + or (y > yoffset_of_selected_image + self.parent.image_height) + ): from_to_button_status = False from_to_error_label = True else: @@ -179,10 +185,10 @@ def update_validity_of_from_to_button(self): def update_from_to_line_label_changed(self): from_to_roi = self.parent.from_to_roi - x0 = from_to_roi['x0'] - y0 = from_to_roi['y0'] - x1 = from_to_roi['x1'] - y1 = from_to_roi['y1'] + x0 = from_to_roi["x0"] + y0 = from_to_roi["y0"] + x1 = from_to_roi["x1"] + y1 = from_to_roi["y1"] self.parent.from_label_id.setPos(x1, y1) self.parent.to_label_id.setPos(x0, y0) @@ -194,8 +200,8 @@ def update_cross_line(self, roi_cross_id=None, roi=None): pos = [] adj = [] - x = roi['x'] - y = roi['y'] + x = roi["x"] + y = roi["y"] # vertical guide pos.append([x + ROI_WIDTH / 2, y - ROI_HEIGHT / 2]) @@ -211,17 +217,13 @@ def update_cross_line(self, roi_cross_id=None, roi=None): adj = np.array(adj) line_color = (255, 0, 0, 255, 1) - lines = np.array([line_color for _ in np.arange(len(pos))], - dtype=[('red', np.ubyte), ('green', np.ubyte), - ('blue', np.ubyte), ('alpha', np.ubyte), - ('width', float)]) + lines = np.array( + [line_color for _ in np.arange(len(pos))], + dtype=[("red", np.ubyte), ("green", np.ubyte), ("blue", np.ubyte), ("alpha", np.ubyte), ("width", float)], + ) line_view_binning = pg.GraphItem() self.parent.ui.image_view.addItem(line_view_binning) - line_view_binning.setData(pos=pos, - adj=adj, - pen=lines, - symbol=None, - pxMode=False) + line_view_binning.setData(pos=pos, adj=adj, pen=lines, symbol=None, pxMode=False) return line_view_binning @@ -229,22 +231,20 @@ def update_from_cross_line(self): from_roi_cross_id = self.parent.from_roi_cross_id from_roi = self.parent.from_roi - self.parent.from_roi_cross_id = self.update_cross_line(roi_cross_id=from_roi_cross_id, - roi=from_roi) + self.parent.from_roi_cross_id = self.update_cross_line(roi_cross_id=from_roi_cross_id, roi=from_roi) def update_to_cross_line(self): to_roi_cross_id = self.parent.to_roi_cross_id to_roi = self.parent.to_roi - self.parent.to_roi_cross_id = self.update_cross_line(roi_cross_id=to_roi_cross_id, - roi=to_roi) + self.parent.to_roi_cross_id = self.update_cross_line(roi_cross_id=to_roi_cross_id, roi=to_roi) def update_label(self, label_id=None, roi=None, text=""): if label_id: self.parent.ui.image_view.removeItem(label_id) - x = roi['x'] + ROI_WIDTH - y = roi['y'] + x = roi["x"] + ROI_WIDTH + y = roi["y"] _text_id = pg.TextItem(text=text) _text_id.setPos(x, y) diff --git a/notebooks/__code/panoramic_stitching_for_tof/load_data.py b/notebooks/__code/panoramic_stitching_for_tof/load_data.py index 680c3deb..e1a1b62f 100755 --- a/notebooks/__code/panoramic_stitching_for_tof/load_data.py +++ b/notebooks/__code/panoramic_stitching_for_tof/load_data.py @@ -1,26 +1,26 @@ import glob -from collections import OrderedDict import os -from qtpy import QtGui, QtCore -from qtpy.QtWidgets import QApplication -import numpy as np +from collections import OrderedDict +import numpy as np from NeuNorm.normalization import Normalization +from qtpy import QtCore, QtGui +from qtpy.QtWidgets import QApplication THIS_FILE_PATH = os.path.dirname(__file__) -CONFIG_FILE = os.path.join(THIS_FILE_PATH, 'config_work.json') +CONFIG_FILE = os.path.join(THIS_FILE_PATH, "config_work.json") class MetadataData: """ object that will store the data (2D array) of each image and metadata """ + data = None metadata = None class LoadData: - master_dictionary = None def __init__(self, parent=None, list_folders=None): @@ -28,7 +28,6 @@ def __init__(self, parent=None, list_folders=None): self.list_folders = list_folders def run(self): - QApplication.setOverrideCursor(QtCore.Qt.WaitCursor) nbr_folder = len(self.list_folders) @@ -39,8 +38,7 @@ def run(self): master_dict = OrderedDict() integrated_images_dict = OrderedDict() for _folder_index, _folder in enumerate(self.list_folders): - - self.parent.ui.statusbar.showMessage("Loading data from folder {}".format(os.path.basename(_folder))) + self.parent.ui.statusbar.showMessage(f"Loading data from folder {os.path.basename(_folder)}") QtGui.QGuiApplication.processEvents() o_norm = Normalization() @@ -51,24 +49,24 @@ def run(self): # record size of images if _folder_index == 0: - self.parent.image_height, self.parent.image_width = np.shape(o_norm.data['sample']['data'][0]) + self.parent.image_height, self.parent.image_width = np.shape(o_norm.data["sample"]["data"][0]) local_dict = OrderedDict() self.parent.nbr_files_per_folder = len(list_files) for _index, _file in enumerate(list_files): _metadatadata = MetadataData() - _metadatadata.data = o_norm.data['sample']['data'][_index] + _metadatadata.data = o_norm.data["sample"]["data"][_index] local_dict[_file] = _metadatadata master_dict[os.path.basename(_folder)] = local_dict o_data = MetadataData() - _data = LoadData.calculate_integrated_data(o_norm.data['sample']['data']) + _data = LoadData.calculate_integrated_data(o_norm.data["sample"]["data"]) o_data.data = _data integrated_images_dict[os.path.basename(_folder)] = o_data - self.parent.eventProgress.setValue(_folder_index+1) + self.parent.eventProgress.setValue(_folder_index + 1) QtGui.QGuiApplication.processEvents() self.parent.working_dir = os.path.dirname(self.list_folders[0]) @@ -81,7 +79,7 @@ def run(self): coarse_images_dictionary[os.path.basename(_folder)] = self.parent.integrated_images[_folder] self.parent.coarse_images_dictionary = coarse_images_dictionary - self.parent.ui.statusbar.showMessage("Done Loading data from {} folders!".format(nbr_folder), 5000) + self.parent.ui.statusbar.showMessage(f"Done Loading data from {nbr_folder} folders!", 5000) QApplication.restoreOverrideCursor() @staticmethod diff --git a/notebooks/__code/panoramic_stitching_for_tof/panoramic_stitching_for_tof.py b/notebooks/__code/panoramic_stitching_for_tof/panoramic_stitching_for_tof.py index 7d298e82..0e247f0c 100755 --- a/notebooks/__code/panoramic_stitching_for_tof/panoramic_stitching_for_tof.py +++ b/notebooks/__code/panoramic_stitching_for_tof/panoramic_stitching_for_tof.py @@ -1,62 +1,65 @@ +import copy +import os + from IPython.display import display from qtpy.QtWidgets import QMainWindow -import os -import copy -from __code.ipywe import fileselector +from __code import load_ui from __code._utilities.folder import get_list_of_folders_with_specified_file_type from __code._utilities.string import format_html_message -from __code import load_ui - -from __code.panoramic_stitching_for_tof.gui_initialization import GuiInitialization -from __code.panoramic_stitching_for_tof.load_data import LoadData +from __code.ipywe import fileselector +from __code.panoramic_stitching.event_handler import EventHandler +from __code.panoramic_stitching.image_handler import HORIZONTAL_MARGIN, VERTICAL_MARGIN +from __code.panoramic_stitching_for_tof.automatically_stitch import AutomaticallyStitch from __code.panoramic_stitching_for_tof.best_contrast_tab_handler import BestContrastTabHandler -from __code.panoramic_stitching_for_tof.event_handler import TOFEventHandler from __code.panoramic_stitching_for_tof.coarse_tab_handler import CoarseTabHandler from __code.panoramic_stitching_for_tof.data_initialization import DataInitialization +from __code.panoramic_stitching_for_tof.event_handler import TOFEventHandler +from __code.panoramic_stitching_for_tof.export import Export from __code.panoramic_stitching_for_tof.fine_tab_handler import FineTabHandler +from __code.panoramic_stitching_for_tof.gui_initialization import GuiInitialization from __code.panoramic_stitching_for_tof.image_handler import ImageHandler +from __code.panoramic_stitching_for_tof.load_data import LoadData from __code.panoramic_stitching_for_tof.profile import Profile -from __code.panoramic_stitching_for_tof.automatically_stitch import AutomaticallyStitch -from __code.panoramic_stitching_for_tof.export import Export -from __code.panoramic_stitching.event_handler import EventHandler -from __code.panoramic_stitching.image_handler import HORIZONTAL_MARGIN, VERTICAL_MARGIN - -SIMPLE_MANUAL_PIXEL_CHANGE = 1 # pixel -DOUBLE_MANUAL_PIXEL_CHANGE = 5 # pixel +SIMPLE_MANUAL_PIXEL_CHANGE = 1 # pixel +DOUBLE_MANUAL_PIXEL_CHANGE = 5 # pixel class PanoramicStitching: - - def __init__(self, working_dir=''): + def __init__(self, working_dir=""): self.working_dir = working_dir self.file_extension = ["tiff", "tif"] def select_input_folders(self): - self.list_folder_widget = fileselector.FileSelectorPanel(instruction='select the folders of images to ' - 'stitch', - start_dir=self.working_dir, - type='directory', - next=self.folder_selected, - multiple=True) + self.list_folder_widget = fileselector.FileSelectorPanel( + instruction="select the folders of images to " "stitch", + start_dir=self.working_dir, + type="directory", + next=self.folder_selected, + multiple=True, + ) self.list_folder_widget.show() def folder_selected(self, folder_selected): - final_list_folders = get_list_of_folders_with_specified_file_type(list_of_folders_to_check=folder_selected, - file_extension=self.file_extension) + final_list_folders = get_list_of_folders_with_specified_file_type( + list_of_folders_to_check=folder_selected, file_extension=self.file_extension + ) if not final_list_folders: - str_list_ext = ", ".join(self.file_extension) - display(format_html_message(pre_message="None of the folder selected contains the file of extension " - "requested ({}}".format(str_list_ext), - spacer="")) + display( + format_html_message( + pre_message="None of the folder selected contains the file of extension " "requested ({}}".format( + str_list_ext + ), + spacer="", + ) + ) return final_list_folders.sort() nbr_folder = len(final_list_folders) - display(format_html_message(pre_message="Notebook is about to work with {} folders!".format(nbr_folder), - spacer="")) + display(format_html_message(pre_message=f"Notebook is about to work with {nbr_folder} folders!", spacer="")) # gui initialization o_interface = Interface(list_folders=final_list_folders) @@ -64,8 +67,8 @@ def folder_selected(self, folder_selected): o_interface.load_data() o_interface.initialization_after_loading_data() -class Interface(QMainWindow): +class Interface(QMainWindow): list_folders = None # list of folders to work on # integrated_images = {'folder_name1': MetadataData, @@ -125,43 +128,53 @@ class Interface(QMainWindow): # from_to_roi_id = None from_label_id = None to_label_id = None - from_to_roi = {'x0': 2000 + HORIZONTAL_MARGIN, 'y0': 50 + VERTICAL_MARGIN, - 'x1': 50 + HORIZONTAL_MARGIN, 'y1': 50 + VERTICAL_MARGIN} + from_to_roi = { + "x0": 2000 + HORIZONTAL_MARGIN, + "y0": 50 + VERTICAL_MARGIN, + "x1": 50 + HORIZONTAL_MARGIN, + "y1": 50 + VERTICAL_MARGIN, + } # new implementation from_roi_id = None from_roi_cross_id = None to_roi_id = None to_roi_cross_id = None - from_roi = {'x': 512 + HORIZONTAL_MARGIN, 'y': 100 + VERTICAL_MARGIN} - to_roi = {'x': 100 + HORIZONTAL_MARGIN, 'y': 50 + VERTICAL_MARGIN} - - width_profile = {'min': 1, - 'max': 300, - 'default': 10} - - horizontal_profile = {'id': None, - 'x0': 500 + HORIZONTAL_MARGIN, - 'y': 200 + VERTICAL_MARGIN, - 'x1': 2500 + HORIZONTAL_MARGIN, - 'width': width_profile['default']} - vertical_profile = {'id': None, - 'x': 300 + HORIZONTAL_MARGIN, - 'y0': 70 + VERTICAL_MARGIN, - 'y1': 2000 + VERTICAL_MARGIN, - 'width': width_profile['default']} + from_roi = {"x": 512 + HORIZONTAL_MARGIN, "y": 100 + VERTICAL_MARGIN} + to_roi = {"x": 100 + HORIZONTAL_MARGIN, "y": 50 + VERTICAL_MARGIN} + + width_profile = {"min": 1, "max": 300, "default": 10} + + horizontal_profile = { + "id": None, + "x0": 500 + HORIZONTAL_MARGIN, + "y": 200 + VERTICAL_MARGIN, + "x1": 2500 + HORIZONTAL_MARGIN, + "width": width_profile["default"], + } + vertical_profile = { + "id": None, + "x": 300 + HORIZONTAL_MARGIN, + "y0": 70 + VERTICAL_MARGIN, + "y1": 2000 + VERTICAL_MARGIN, + "width": width_profile["default"], + } def __init__(self, parent=None, list_folders=None): - self.list_folders = list_folders - display(format_html_message(pre_message="Check UI that popped up \ + display( + format_html_message( + pre_message="Check UI that popped up \ (maybe hidden behind this browser!)", - spacer="")) + spacer="", + ) + ) super(Interface, self).__init__(parent) - ui_full_path = os.path.join(os.path.dirname(os.path.dirname(os.path.dirname(__file__))), - os.path.join('ui', - 'ui_panoramic_stitching_manual_for_tof.ui')) + ui_full_path = os.path.join( + os.path.dirname(os.path.dirname(os.path.dirname(__file__))), + os.path.join("ui", "ui_panoramic_stitching_manual_for_tof.ui"), + ) self.ui = load_ui(ui_full_path, baseinstance=self) self.setWindowTitle("Semi-Automatic Panoramic Stitching for TOF Data Sets") @@ -172,8 +185,7 @@ def load_data(self): # load data and metadata self.ui.setEnabled(False) - o_load = LoadData(parent=self, - list_folders=self.list_folders) + o_load = LoadData(parent=self, list_folders=self.list_folders) o_load.run() def initialization_after_loading_data(self): @@ -263,76 +275,76 @@ def enable_vertical_profile_checked(self, state): o_event.vertical_profile(enabled=state) def left_left_button_pressed(self): - EventHandler.button_pressed(ui=self.ui.left_left_button, name='left_left') + EventHandler.button_pressed(ui=self.ui.left_left_button, name="left_left") o_event = EventHandler(parent=self) - o_event.manual_offset_changed(direction='horizontal', nbr_pixel=-DOUBLE_MANUAL_PIXEL_CHANGE) + o_event.manual_offset_changed(direction="horizontal", nbr_pixel=-DOUBLE_MANUAL_PIXEL_CHANGE) self.horizontal_profile_changed() def left_left_button_released(self): - EventHandler.button_released(ui=self.ui.left_left_button, name='left_left') + EventHandler.button_released(ui=self.ui.left_left_button, name="left_left") def left_button_pressed(self): - EventHandler.button_pressed(ui=self.ui.left_button, name='left') + EventHandler.button_pressed(ui=self.ui.left_button, name="left") o_event = EventHandler(parent=self) - o_event.manual_offset_changed(direction='horizontal', nbr_pixel=-SIMPLE_MANUAL_PIXEL_CHANGE) + o_event.manual_offset_changed(direction="horizontal", nbr_pixel=-SIMPLE_MANUAL_PIXEL_CHANGE) self.horizontal_profile_changed() def left_button_released(self): - EventHandler.button_released(ui=self.ui.left_button, name='left') + EventHandler.button_released(ui=self.ui.left_button, name="left") def right_right_button_pressed(self): - EventHandler.button_pressed(ui=self.ui.right_right_button, name='right_right') + EventHandler.button_pressed(ui=self.ui.right_right_button, name="right_right") o_event = EventHandler(parent=self) - o_event.manual_offset_changed(direction='horizontal', nbr_pixel=DOUBLE_MANUAL_PIXEL_CHANGE) + o_event.manual_offset_changed(direction="horizontal", nbr_pixel=DOUBLE_MANUAL_PIXEL_CHANGE) self.horizontal_profile_changed() def right_right_button_released(self): - EventHandler.button_released(ui=self.ui.right_right_button, name='right_right') + EventHandler.button_released(ui=self.ui.right_right_button, name="right_right") def right_button_pressed(self): - EventHandler.button_pressed(ui=self.ui.right_button, name='right') + EventHandler.button_pressed(ui=self.ui.right_button, name="right") o_event = EventHandler(parent=self) - o_event.manual_offset_changed(direction='horizontal', nbr_pixel=SIMPLE_MANUAL_PIXEL_CHANGE) + o_event.manual_offset_changed(direction="horizontal", nbr_pixel=SIMPLE_MANUAL_PIXEL_CHANGE) self.horizontal_profile_changed() def right_button_released(self): - EventHandler.button_released(ui=self.ui.right_button, name='right') + EventHandler.button_released(ui=self.ui.right_button, name="right") def up_up_button_pressed(self): - EventHandler.button_pressed(ui=self.ui.up_up_button, name='up_up') + EventHandler.button_pressed(ui=self.ui.up_up_button, name="up_up") o_event = EventHandler(parent=self) - o_event.manual_offset_changed(direction='vertical', nbr_pixel=-DOUBLE_MANUAL_PIXEL_CHANGE) + o_event.manual_offset_changed(direction="vertical", nbr_pixel=-DOUBLE_MANUAL_PIXEL_CHANGE) self.vertical_profile_changed() def up_up_button_released(self): - EventHandler.button_released(ui=self.ui.up_up_button, name='up_up') + EventHandler.button_released(ui=self.ui.up_up_button, name="up_up") def up_button_pressed(self): - EventHandler.button_pressed(ui=self.ui.up_button, name='up') + EventHandler.button_pressed(ui=self.ui.up_button, name="up") o_event = EventHandler(parent=self) - o_event.manual_offset_changed(direction='vertical', nbr_pixel=-SIMPLE_MANUAL_PIXEL_CHANGE) + o_event.manual_offset_changed(direction="vertical", nbr_pixel=-SIMPLE_MANUAL_PIXEL_CHANGE) self.vertical_profile_changed() def up_button_released(self): - EventHandler.button_released(ui=self.ui.up_button, name='up') + EventHandler.button_released(ui=self.ui.up_button, name="up") def down_down_button_pressed(self): - EventHandler.button_pressed(ui=self.ui.down_down_button, name='down_down') + EventHandler.button_pressed(ui=self.ui.down_down_button, name="down_down") o_event = EventHandler(parent=self) - o_event.manual_offset_changed(direction='vertical', nbr_pixel=DOUBLE_MANUAL_PIXEL_CHANGE) + o_event.manual_offset_changed(direction="vertical", nbr_pixel=DOUBLE_MANUAL_PIXEL_CHANGE) self.vertical_profile_changed() def down_down_button_released(self): - EventHandler.button_released(ui=self.ui.down_down_button, name='down_down') + EventHandler.button_released(ui=self.ui.down_down_button, name="down_down") def down_button_pressed(self): - EventHandler.button_pressed(ui=self.ui.down_button, name='down') + EventHandler.button_pressed(ui=self.ui.down_button, name="down") o_event = EventHandler(parent=self) - o_event.manual_offset_changed(direction='vertical', nbr_pixel=SIMPLE_MANUAL_PIXEL_CHANGE) + o_event.manual_offset_changed(direction="vertical", nbr_pixel=SIMPLE_MANUAL_PIXEL_CHANGE) self.vertical_profile_changed() def down_button_released(self): - EventHandler.button_released(ui=self.ui.down_button, name='down') + EventHandler.button_released(ui=self.ui.down_button, name="down") def automatically_stitch_all_other_images_button_clicked(self): o_auto = AutomaticallyStitch(parent=self) diff --git a/notebooks/__code/panoramic_stitching_for_tof/profile.py b/notebooks/__code/panoramic_stitching_for_tof/profile.py index 6c40f90f..5c8a852b 100755 --- a/notebooks/__code/panoramic_stitching_for_tof/profile.py +++ b/notebooks/__code/panoramic_stitching_for_tof/profile.py @@ -4,37 +4,40 @@ from __code.panoramic_stitching_for_tof.get import Get from __code.panoramic_stitching_for_tof.image_handler import HORIZONTAL_MARGIN, VERTICAL_MARGIN -COLOR_WORKING_ROW = 'red' -COLOR_NONE_WORKING_ROW = 'black' +COLOR_WORKING_ROW = "red" +COLOR_NONE_WORKING_ROW = "black" class Profile: - def __init__(self, parent=None): self.parent = parent def horizontal_profile_changed(self): if self.parent.ui.enable_horizontal_profile_checkbox.isChecked(): - roi_id = self.parent.horizontal_profile['id'] + roi_id = self.parent.horizontal_profile["id"] horizontal_roi_dimensions = Profile.get_x_y_width_height_of_roi(roi_id=roi_id) - self.plot_profile(x=horizontal_roi_dimensions['x'], - y=horizontal_roi_dimensions['y'], - width=horizontal_roi_dimensions['width'], - height=horizontal_roi_dimensions['height'], - profile_type='horizontal') + self.plot_profile( + x=horizontal_roi_dimensions["x"], + y=horizontal_roi_dimensions["y"], + width=horizontal_roi_dimensions["width"], + height=horizontal_roi_dimensions["height"], + profile_type="horizontal", + ) def vertical_profile_changed(self): if self.parent.ui.enable_vertical_profile_checkbox.isChecked(): - roi_id = self.parent.vertical_profile['id'] + roi_id = self.parent.vertical_profile["id"] vertical_roi_dimensions = Profile.get_x_y_width_height_of_roi(roi_id=roi_id) - self.plot_profile(x=vertical_roi_dimensions['x'], - y=vertical_roi_dimensions['y'], - width=vertical_roi_dimensions['width'], - height=vertical_roi_dimensions['height'], - profile_type='vertical') - - def plot_profile(self, x=None, y=None, width=None, height=None, profile_type='horizontal'): - if profile_type == 'horizontal': + self.plot_profile( + x=vertical_roi_dimensions["x"], + y=vertical_roi_dimensions["y"], + width=vertical_roi_dimensions["width"], + height=vertical_roi_dimensions["height"], + profile_type="vertical", + ) + + def plot_profile(self, x=None, y=None, width=None, height=None, profile_type="horizontal"): + if profile_type == "horizontal": plot_ui = self.parent.horizontal_profile_plot dim_to_keep = 0 else: @@ -54,9 +57,8 @@ def plot_profile(self, x=None, y=None, width=None, height=None, profile_type='ho o_get = Get(parent=self.parent) list_folders = o_get.get_list_folders_according_to_offset_table() for _file_index, _file in enumerate(list_folders): - # no need to display profile if image is not visible - if not offset_dictionary[_file]['visible']: + if not offset_dictionary[_file]["visible"]: continue if row_selected == _file_index: @@ -64,8 +66,8 @@ def plot_profile(self, x=None, y=None, width=None, height=None, profile_type='ho else: color = COLOR_NONE_WORKING_ROW - left_of_image = offset_dictionary[_file]['xoffset'] - top_of_image = offset_dictionary[_file]['yoffset'] + left_of_image = offset_dictionary[_file]["xoffset"] + top_of_image = offset_dictionary[_file]["yoffset"] # image is on the right of profile if left_of_image > (x + width): @@ -90,15 +92,15 @@ def plot_profile(self, x=None, y=None, width=None, height=None, profile_type='ho y_top_for_profile = np.max([y, top_of_image]) - top_of_image y_bottom_for_profile = np.min([y + height, top_of_image + image_height]) - top_of_image - if profile_type == 'horizontal': + if profile_type == "horizontal": x_axis_of_profile = np.arange(x_left_for_profile, x_right_for_profile) + left_of_image else: x_axis_of_profile = np.arange(y_top_for_profile, y_bottom_for_profile) + top_of_image y_axis_of_profile = data_dictionary[_file].data[ - y_top_for_profile:y_bottom_for_profile, - x_left_for_profile:x_right_for_profile, - ] + y_top_for_profile:y_bottom_for_profile, + x_left_for_profile:x_right_for_profile, + ] y_axis = np.mean(y_axis_of_profile, axis=dim_to_keep) plot_ui.axes.plot(x_axis_of_profile, y_axis, color=color) @@ -111,7 +113,9 @@ def plot_profile(self, x=None, y=None, width=None, height=None, profile_type='ho def get_x_y_width_height_of_roi(roi_id=None): x, y = roi_id.pos() width, height = roi_id.size() - return {'x' : int(x) - HORIZONTAL_MARGIN, - 'y' : int(y) - VERTICAL_MARGIN, - 'width' : int(width), - 'height': int(height)} + return { + "x": int(x) - HORIZONTAL_MARGIN, + "y": int(y) - VERTICAL_MARGIN, + "width": int(width), + "height": int(height), + } diff --git a/notebooks/__code/profile/display.py b/notebooks/__code/profile/display.py index 2effa8ed..c2f7d043 100755 --- a/notebooks/__code/profile/display.py +++ b/notebooks/__code/profile/display.py @@ -1,10 +1,9 @@ import numpy as np -from skimage import transform import pyqtgraph as pg +from skimage import transform class DisplayImages: - def __init__(self, parent=None, recalculate_image=False): self.parent = parent self.recalculate_image = recalculate_image @@ -17,10 +16,11 @@ def get_image_selected(self, recalculate_image=False): if recalculate_image: angle = self.parent.rotation_angle # rotate all images - self.parent.data_dict['data'] = [transform.rotate(_image, angle) for _image in - self.parent.data_dict_raw['data']] + self.parent.data_dict["data"] = [ + transform.rotate(_image, angle) for _image in self.parent.data_dict_raw["data"] + ] - _image = self.parent.data_dict['data'][slider_index] + _image = self.parent.data_dict["data"][slider_index] return _image def get_image_filename(self): @@ -63,7 +63,7 @@ def calculate_matrix_grid(self, grid_size=1, height=1, width=1): # vertical lines x = 0 index = 0 - while (x <= width): + while x <= width: one_edge = [x, 0] other_edge = [x, height] pos.append(one_edge) @@ -74,7 +74,7 @@ def calculate_matrix_grid(self, grid_size=1, height=1, width=1): # vertical lines y = 0 - while (y <= height): + while y <= height: one_edge = [0, y] other_edge = [width, y] pos.append(one_edge) @@ -83,42 +83,42 @@ def calculate_matrix_grid(self, grid_size=1, height=1, width=1): y += grid_size index += 2 - pos_adj_dict['pos'] = np.array(pos) - pos_adj_dict['adj'] = np.array(adj) + pos_adj_dict["pos"] = np.array(pos) + pos_adj_dict["adj"] = np.array(adj) return pos_adj_dict def display_grid(self): # remove previous grid if any - if self.parent.grid_view['item']: - self.parent.ui.image_view.removeItem(self.parent.grid_view['item']) + if self.parent.grid_view["item"]: + self.parent.ui.image_view.removeItem(self.parent.grid_view["item"]) # if we want a grid if self.parent.ui.grid_display_checkBox.isChecked(): grid_size = self.parent.ui.grid_size_slider.value() [height, width] = np.shape(self.parent.live_image) - pos_adj_dict = self.calculate_matrix_grid(grid_size=grid_size, - height=height, - width=width) - pos = pos_adj_dict['pos'] - adj = pos_adj_dict['adj'] + pos_adj_dict = self.calculate_matrix_grid(grid_size=grid_size, height=height, width=width) + pos = pos_adj_dict["pos"] + adj = pos_adj_dict["adj"] - line_color = self.parent.grid_view['color'] + line_color = self.parent.grid_view["color"] _transparency_value = 255 - (float(str(self.parent.ui.transparency_slider.value())) / 100) * 255 _list_line_color = list(line_color) _list_line_color[3] = _transparency_value line_color = tuple(_list_line_color) - lines = np.array([line_color for n in np.arange(len(pos))], - dtype=[('red', np.ubyte), ('green', np.ubyte), - ('blue', np.ubyte), ('alpha', np.ubyte), - ('width', float)]) + lines = np.array( + [line_color for n in np.arange(len(pos))], + dtype=[ + ("red", np.ubyte), + ("green", np.ubyte), + ("blue", np.ubyte), + ("alpha", np.ubyte), + ("width", float), + ], + ) grid = pg.GraphItem() self.parent.ui.image_view.addItem(grid) - grid.setData(pos=pos, - adj=adj, - pen=lines, - symbol=None, - pxMode=False) - self.parent.grid_view['item'] = grid + grid.setData(pos=pos, adj=adj, pen=lines, symbol=None, pxMode=False) + self.parent.grid_view["item"] = grid diff --git a/notebooks/__code/profile/export.py b/notebooks/__code/profile/export.py index 8e012a72..cebcb946 100755 --- a/notebooks/__code/profile/export.py +++ b/notebooks/__code/profile/export.py @@ -1,23 +1,23 @@ -import numpy as np import os -from IPython.display import HTML -from IPython.display import display -from __code.file_handler import make_ascii_file -from __code._utilities.time import get_current_time_in_special_file_name_format +import numpy as np +from IPython.display import HTML, display +from __code._utilities.time import get_current_time_in_special_file_name_format +from __code.file_handler import make_ascii_file -class ExportProfiles(object): - def __init__(self, parent=None, export_folder=''): +class ExportProfiles: + def __init__(self, parent=None, export_folder=""): self.parent = parent self.export_folder = export_folder def _create_output_file_name(self, profile_index=0): base_name = os.path.basename(self.parent.working_dir) - output_file_name = os.path.join(self.export_folder, "{}_profile_{}_{}.txt".format(base_name, - profile_index + 1, - get_current_time_in_special_file_name_format())) + output_file_name = os.path.join( + self.export_folder, + f"{base_name}_profile_{profile_index + 1}_{get_current_time_in_special_file_name_format()}.txt", + ) return output_file_name def _create_metadata(self, profile_index=0): @@ -30,18 +30,18 @@ def _create_metadata(self, profile_index=0): y_top = profile_dimension.y_top y_bottom = profile_dimension.y_bottom metadata.append("#Profile dimension:") - metadata.append("# * [x0, y0, x1, y1] = [{}, {}, {}, {}]".format(x_left, y_top, x_right, y_bottom)) + metadata.append(f"# * [x0, y0, x1, y1] = [{x_left}, {y_top}, {x_right}, {y_bottom}]") if is_x_profile_direction: metadata.append("# * integrated over y_axis") - table_axis = ['#x_axis'] + table_axis = ["#x_axis"] else: metadata.append("# * integrated over x_axis") - table_axis = ['#y_axis'] - nbr_files = len(self.parent.data_dict['file_name']) - metadata.append("#List of files ({} files)".format(nbr_files)) - for _index, _file in enumerate(self.parent.data_dict['file_name']): - metadata.append("# * {} -> col{}".format(_file, _index + 1)) - table_axis.append("# col.{}".format(_index + 1)) + table_axis = ["#y_axis"] + nbr_files = len(self.parent.data_dict["file_name"]) + metadata.append(f"#List of files ({nbr_files} files)") + for _index, _file in enumerate(self.parent.data_dict["file_name"]): + metadata.append(f"# * {_file} -> col{_index + 1}") + table_axis.append(f"# col.{_index + 1}") metadata.append("#") metadata.append("#" + ",".join(table_axis)) return metadata @@ -49,15 +49,14 @@ def _create_metadata(self, profile_index=0): def _create_data(self, profile_index=0): all_profiles = [] x_axis = [] - for _data in self.parent.data_dict['data']: - [x_axis, profile] = self.parent.get_profile(image=np.transpose(_data), - profile_roi_row=profile_index) + for _data in self.parent.data_dict["data"]: + [x_axis, profile] = self.parent.get_profile(image=np.transpose(_data), profile_roi_row=profile_index) all_profiles.append(list(profile)) data = [] for _index, _row in enumerate(np.transpose(all_profiles)): str_row = [str(_value) for _value in _row] - data.append("{}, ".format(x_axis[_index]) + ", ".join(str_row)) + data.append(f"{x_axis[_index]}, " + ", ".join(str_row)) return data @@ -67,30 +66,26 @@ def run(self): _output_file_name = self._create_output_file_name(profile_index=_profile_index) metadata = self._create_metadata(profile_index=_profile_index) data = self._create_data(profile_index=_profile_index) - make_ascii_file(metadata=metadata, - data=data, - output_file_name=_output_file_name, - dim='1d') + make_ascii_file(metadata=metadata, data=data, output_file_name=_output_file_name, dim="1d") - display(HTML("Exported Profile file {}".format(_output_file_name))) + display(HTML(f"Exported Profile file {_output_file_name}")) class ExportAverageROI: - - def __init__(self, parent=None, export_folder=''): + def __init__(self, parent=None, export_folder=""): self.parent = parent self.export_folder = export_folder def _create_output_file_name(self, roi_index=0): base_name = os.path.basename(self.parent.working_dir) - output_file_name = os.path.join(self.export_folder, "{}_profile_{}.txt".format(base_name, roi_index + 1)) + output_file_name = os.path.join(self.export_folder, f"{base_name}_profile_{roi_index + 1}.txt") return output_file_name # def _create_metadata(self, profile_index=0): # metadata = ["# Mean of ROI"] # metadata.append("# average counts of each ROI for each file") # roi_dimension = self.parent.get_full_roi_dimension(row=profile_index) - + # x0 = roi_dimension.x0 # y0 = roi_dimension.y0 # width = roi_dimension.width @@ -110,7 +105,7 @@ def _create_output_file_name(self, roi_index=0): # return metadata # def _create_data(self, profile_index=0): - + # all_roi_mean = [] # x_axis = [] # for _data in self.parent.data_dict['data']: @@ -127,39 +122,40 @@ def _create_output_file_name(self, roi_index=0): def _create_output_file_name(self, roi_index=0): base_name = os.path.basename(self.parent.working_dir) - output_file_name = os.path.join(self.export_folder, "{}_mean_counts_{}_{}.txt".format(base_name, - roi_index + 1, - get_current_time_in_special_file_name_format())) + output_file_name = os.path.join( + self.export_folder, + f"{base_name}_mean_counts_{roi_index + 1}_{get_current_time_in_special_file_name_format()}.txt", + ) return output_file_name def run(self): """will create 1 file for each ROI used""" _nbr_profiles = self.parent.ui.tableWidget.rowCount() for _roi_index in np.arange(_nbr_profiles): - output_file_name = self._create_output_file_name(_roi_index) _roi = self.parent.get_full_roi_dimension(row=_roi_index) _x0 = _roi.x0 _y0 = _roi.y0 - _width = _roi.width + _width = _roi.width _height = _roi.height _data_output = [] - for _index, _data in enumerate(self.parent.data_dict['data']): - - _data_roi = _data[_y0:_y0+_height, _x0:_x0+_width] + for _index, _data in enumerate(self.parent.data_dict["data"]): + _data_roi = _data[_y0 : _y0 + _height, _x0 : _x0 + _width] _mean = np.mean(_data_roi) - _basename = os.path.basename(self.parent.data_dict['file_name'][_index]) - _data_output.append("{}, {}".format(_basename, _mean)) - - make_ascii_file(metadata=["# Mean of ROI", - "# ROI dimension: [x0, y0, width, height] = [{}, {}, {}, {}]".format(_x0, _y0, _width, _height), - '#', - "# file name, mean counts", - ], - data=_data_output, - output_file_name=output_file_name, - dim='1d') + _basename = os.path.basename(self.parent.data_dict["file_name"][_index]) + _data_output.append(f"{_basename}, {_mean}") + + make_ascii_file( + metadata=[ + "# Mean of ROI", + f"# ROI dimension: [x0, y0, width, height] = [{_x0}, {_y0}, {_width}, {_height}]", + "#", + "# file name, mean counts", + ], + data=_data_output, + output_file_name=output_file_name, + dim="1d", + ) display(HTML(f"Exported mean of ROI #{_roi_index} file {output_file_name}")) - diff --git a/notebooks/__code/profile/guide_and_profile_rois_handler.py b/notebooks/__code/profile/guide_and_profile_rois_handler.py index c492b810..13487a80 100755 --- a/notebooks/__code/profile/guide_and_profile_rois_handler.py +++ b/notebooks/__code/profile/guide_and_profile_rois_handler.py @@ -1,5 +1,5 @@ -import pyqtgraph as pg import numpy as np +import pyqtgraph as pg class GuideAndProfileRoisHandler: @@ -23,9 +23,11 @@ def update(self): def _define_guide(self): """define the guide""" - guide_roi = pg.RectROI([self.parent.default_guide_roi['x0'], self.parent.default_guide_roi['y0']], - [self.parent.default_guide_roi['width'], self.parent.default_guide_roi['height']], - pen=self.parent.default_guide_roi['color_activated']) + guide_roi = pg.RectROI( + [self.parent.default_guide_roi["x0"], self.parent.default_guide_roi["y0"]], + [self.parent.default_guide_roi["width"], self.parent.default_guide_roi["height"]], + pen=self.parent.default_guide_roi["color_activated"], + ) guide_roi.addScaleHandle([1, 1], [0, 0]) guide_roi.addScaleHandle([0, 0], [1, 1]) guide_roi.sigRegionChanged.connect(self.parent.guide_changed) @@ -46,7 +48,6 @@ def _define_profile(self): y_bottom = profile_dimension.y_bottom if is_x_profile_direction: - pos = [] pos.append([x_left, y_top]) pos.append([x_right, y_top]) @@ -62,7 +63,6 @@ def _define_profile(self): pos = np.array(pos) else: # y-profile direction - pos = [] pos.append([x_left, y_top]) pos.append([x_left, y_bottom]) @@ -80,17 +80,13 @@ def _define_profile(self): line_color = self.parent.profile_color _list_line_color = list(line_color) line_color = tuple(_list_line_color) - lines = np.array([line_color for n in np.arange(len(pos))], - dtype=[('red', np.ubyte), ('green', np.ubyte), - ('blue', np.ubyte), ('alpha', np.ubyte), - ('width', float)]) + lines = np.array( + [line_color for n in np.arange(len(pos))], + dtype=[("red", np.ubyte), ("green", np.ubyte), ("blue", np.ubyte), ("alpha", np.ubyte), ("width", float)], + ) profile = pg.GraphItem() self.parent.ui.image_view.addItem(profile) - profile.setData(pos=pos, - adj=adj, - pen=lines, - symbol=None, - pxMode=False) + profile.setData(pos=pos, adj=adj, pen=lines, symbol=None, pxMode=False) self.__profile = profile diff --git a/notebooks/__code/profile/initialization.py b/notebooks/__code/profile/initialization.py index 16a9d030..e271b156 100755 --- a/notebooks/__code/profile/initialization.py +++ b/notebooks/__code/profile/initialization.py @@ -1,15 +1,15 @@ import os + import numpy as np -from qtpy.QtWidgets import QTableWidgetItem, QVBoxLayout import pyqtgraph as pg from qtpy import QtCore +from qtpy.QtWidgets import QTableWidgetItem, QVBoxLayout from __code import interact_me_style from __code.file_handler import retrieve_time_stamp class Initializer: - def __init__(self, parent=None): self.parent = parent @@ -21,61 +21,65 @@ def all(self): self.pyqtgraph() def timestamp_dict(self): - list_files = self.parent.data_dict['file_name'] + list_files = self.parent.data_dict["file_name"] self.parent.timestamp_dict = retrieve_time_stamp(list_files) def table(self): # init the summary table - list_files_full_name = self.parent.data_dict['file_name'] + list_files_full_name = self.parent.data_dict["file_name"] list_files_short_name = [os.path.basename(_file) for _file in list_files_full_name] - list_time_stamp = self.parent.timestamp_dict['list_time_stamp'] - list_time_stamp_user_format = self.parent.timestamp_dict['list_time_stamp_user_format'] + list_time_stamp = self.parent.timestamp_dict["list_time_stamp"] + list_time_stamp_user_format = self.parent.timestamp_dict["list_time_stamp_user_format"] time_0 = list_time_stamp[0] for _row, _file in enumerate(list_files_short_name): self.parent.ui.summary_table.insertRow(_row) self.set_item_summary_table(row=_row, col=0, value=_file) self.set_item_summary_table(row=_row, col=1, value=list_time_stamp_user_format[_row]) _offset = list_time_stamp[_row] - time_0 - self.set_item_summary_table(row=_row, col=2, value="{:0.2f}".format(_offset)) + self.set_item_summary_table(row=_row, col=2, value=f"{_offset:0.2f}") self.parent.ui.all_plots_file_name_table.insertRow(_row) self.set_item_all_plot_file_name_table(row=_row, value=os.path.basename(_file)) def parameters(self): # init the position of the measurement ROI - [height, width] = np.shape(self.parent.data_dict['data'][0]) - self.parent.default_guide_roi['width'] = int(width / 10) - self.parent.default_guide_roi['height'] = int(height / 5) - self.parent.default_guide_roi['x0'] = int(width / 2) - self.parent.default_guide_roi['y0'] = int(height / 2) + [height, width] = np.shape(self.parent.data_dict["data"][0]) + self.parent.default_guide_roi["width"] = int(width / 10) + self.parent.default_guide_roi["height"] = int(height / 5) + self.parent.default_guide_roi["x0"] = int(width / 2) + self.parent.default_guide_roi["y0"] = int(height / 2) self.parent.default_profile_width_values = [str(_value) for _value in self.parent.default_profile_width_values] def widgets(self): _file_path = os.path.dirname(__file__) - left_rotation_fast_file = os.path.abspath(os.path.join(_file_path, - '../static/profile/button_rotation_left_fast.png')) - self.parent.ui.left_rotation_button_fast.setStyleSheet("background-image: " - "url('" + left_rotation_fast_file + "'); " + \ - "background-repeat: no-repeat") - - right_rotation_fast_file = os.path.abspath(os.path.join(_file_path, - '../static/profile/button_rotation_right_fast.png')) - self.parent.ui.right_rotation_button_fast.setStyleSheet("background-image: " - "url('" + right_rotation_fast_file + "'); " + \ - "background-repeat: no-repeat") - - left_rotation_slow_file = os.path.abspath(os.path.join(_file_path, - '../static/profile/button_rotation_left_slow.png')) - self.parent.ui.left_rotation_button_slow.setStyleSheet("background-image: " - "url('" + left_rotation_slow_file + "'); " + \ - "background-repeat: no-repeat") - - right_rotation_slow_file = os.path.abspath(os.path.join(_file_path, - '../static/profile/button_rotation_right_slow.png')) - self.parent.ui.right_rotation_button_slow.setStyleSheet("background-image: " - "url('" + right_rotation_slow_file + "'); " + \ - "background-repeat: no-repeat") + left_rotation_fast_file = os.path.abspath( + os.path.join(_file_path, "../static/profile/button_rotation_left_fast.png") + ) + self.parent.ui.left_rotation_button_fast.setStyleSheet( + "background-image: " "url('" + left_rotation_fast_file + "'); " + "background-repeat: no-repeat" + ) + + right_rotation_fast_file = os.path.abspath( + os.path.join(_file_path, "../static/profile/button_rotation_right_fast.png") + ) + self.parent.ui.right_rotation_button_fast.setStyleSheet( + "background-image: " "url('" + right_rotation_fast_file + "'); " + "background-repeat: no-repeat" + ) + + left_rotation_slow_file = os.path.abspath( + os.path.join(_file_path, "../static/profile/button_rotation_left_slow.png") + ) + self.parent.ui.left_rotation_button_slow.setStyleSheet( + "background-image: " "url('" + left_rotation_slow_file + "'); " + "background-repeat: no-repeat" + ) + + right_rotation_slow_file = os.path.abspath( + os.path.join(_file_path, "../static/profile/button_rotation_right_slow.png") + ) + self.parent.ui.right_rotation_button_slow.setStyleSheet( + "background-image: " "url('" + right_rotation_slow_file + "'); " + "background-repeat: no-repeat" + ) self.parent.ui.splitter_2.setSizes([250, 50]) self.parent.ui.splitter.setSizes([500, 50]) @@ -83,7 +87,7 @@ def widgets(self): self.parent.ui.all_plots_verti_splitter.setSizes([300, 100]) # file slider - self.parent.ui.file_slider.setMaximum(len(self.parent.data_dict['data']) - 1) + self.parent.ui.file_slider.setMaximum(len(self.parent.data_dict["data"]) - 1) # update size of table columns nbr_columns = self.parent.ui.tableWidget.columnCount() @@ -95,10 +99,12 @@ def widgets(self): for _col in range(nbr_columns): self.parent.ui.summary_table.setColumnWidth(_col, self.parent.summary_table_width[_col]) - self.parent.display_ui = [self.parent.ui.display_size_label, - self.parent.ui.grid_size_slider, - self.parent.ui.display_transparency_label, - self.parent.ui.transparency_slider] + self.parent.display_ui = [ + self.parent.ui.display_size_label, + self.parent.ui.grid_size_slider, + self.parent.ui.display_transparency_label, + self.parent.ui.transparency_slider, + ] self.parent.ui.pushButton_5.setStyleSheet(interact_me_style) @@ -127,12 +133,12 @@ def pyqtgraph(self): vertical_layout2.addWidget(self.parent.ui.all_plots_view) self.parent.ui.all_plots_widget.setLayout(vertical_layout2) - def set_item_all_plot_file_name_table(self, row=0, value=''): + def set_item_all_plot_file_name_table(self, row=0, value=""): item = QTableWidgetItem(str(value)) self.parent.ui.all_plots_file_name_table.setItem(row, 0, item) item.setFlags(QtCore.Qt.ItemIsEnabled | QtCore.Qt.ItemIsSelectable) - def set_item_summary_table(self, row=0, col=0, value=''): + def set_item_summary_table(self, row=0, col=0, value=""): item = QTableWidgetItem(str(value)) self.parent.ui.summary_table.setItem(row, col, item) item.setFlags(QtCore.Qt.ItemIsEnabled | QtCore.Qt.ItemIsSelectable) diff --git a/notebooks/__code/profile/profile.py b/notebooks/__code/profile/profile.py index 0d65e747..6c095879 100755 --- a/notebooks/__code/profile/profile.py +++ b/notebooks/__code/profile/profile.py @@ -1,24 +1,31 @@ -from IPython.display import HTML -from IPython.display import display - -import numpy as np -import os -import copy import collections +import copy +import os -from qtpy.QtWidgets import QFileDialog, QMainWindow, QTableWidgetSelectionRange, QTableWidgetItem, \ - QSpacerItem, QComboBox, QHBoxLayout, QSizePolicy, QCheckBox, QWidget +import numpy as np +from IPython.display import HTML, display from qtpy import QtCore from qtpy.QtGui import QGuiApplication - -from __code import load_ui -from __code import interact_me_style, normal_style +from qtpy.QtWidgets import ( + QCheckBox, + QComboBox, + QFileDialog, + QHBoxLayout, + QMainWindow, + QSizePolicy, + QSpacerItem, + QTableWidgetItem, + QTableWidgetSelectionRange, + QWidget, +) + +from __code import interact_me_style, load_ui, normal_style from __code._utilities.color import Color from __code._utilities.table_handler import TableHandler -from __code.profile.initialization import Initializer from __code.profile.display import DisplayImages -from __code.profile.export import ExportProfiles, ExportAverageROI +from __code.profile.export import ExportAverageROI, ExportProfiles from __code.profile.guide_and_profile_rois_handler import GuideAndProfileRoisHandler +from __code.profile.initialization import Initializer class ProfileUi(QMainWindow): @@ -36,10 +43,7 @@ class ProfileUi(QMainWindow): summary_table_width = [300, 150, 100] live_image = [] - grid_view = {'pos' : None, - 'adj' : None, - 'item' : None, - 'color': (0, 0, 255, 255, 1)} + grid_view = {"pos": None, "adj": None, "item": None, "color": (0, 0, 255, 255, 1)} profile_color = (0, 255, 0, 255, 1) @@ -49,10 +53,15 @@ class ProfileUi(QMainWindow): list_guide_pyqt_roi = list() list_profile_pyqt_roi = list() list_table_widget_checkbox = list() - default_guide_roi = {'x0' : 0, 'y0': 0, 'width': 200, 'height': 800, - 'isChecked' : True, - 'color_activated' : 'r', - 'color_deactivated': 'b'} + default_guide_roi = { + "x0": 0, + "y0": 0, + "width": 200, + "height": 800, + "isChecked": True, + "color_activated": "r", + "color_deactivated": "b", + } previous_active_row = -1 # use to deactivated the guide and profile roi # default_guide_table_values = {'isChecked': True, 'x0': 0, 'y0': 0, @@ -62,16 +71,19 @@ class ProfileUi(QMainWindow): # remove-me test_roi = None - def __init__(self, parent=None, working_dir='', data_dict=None): - - display(HTML('Check UI that popped up \ - (maybe hidden behind this browser!)')) + def __init__(self, parent=None, working_dir="", data_dict=None): + display( + HTML( + 'Check UI that popped up \ + (maybe hidden behind this browser!)' + ) + ) QMainWindow.__init__(self, parent=parent) - ui_full_path = os.path.join(os.path.dirname(os.path.dirname(os.path.dirname(__file__))), - os.path.join('ui', - 'ui_profile.ui')) + ui_full_path = os.path.join( + os.path.dirname(os.path.dirname(os.path.dirname(__file__))), os.path.join("ui", "ui_profile.ui") + ) self.ui = load_ui(ui_full_path, baseinstance=self) self.setWindowTitle("Profile") @@ -80,7 +92,7 @@ def __init__(self, parent=None, working_dir='', data_dict=None): # 'data': [[...],[...]]], # 'metadata': [], # 'shape': {}} - self.list_filenames = data_dict['file_name'] + self.list_filenames = data_dict["file_name"] # untouched array of images (used to move and rotate images) self.data_dict_raw = copy.deepcopy(data_dict) @@ -102,7 +114,6 @@ def check_widgets(self): self.ui.export_button.setEnabled(enable_button) def _we_can_enable_export_profiles(self): - # if no profile, we can't enable export o_table = TableHandler(table_ui=self.ui.tableWidget) nbr_row = o_table.row_count() @@ -144,11 +155,9 @@ def display_profiles(self): for _row in np.arange(nbr_row): [x_axis, profile] = self.get_profile(image=image, profile_roi_row=_row) - _label = ' Profile #{}'.format(_row + 1) + _label = f" Profile #{_row + 1}" _color = list_rgb_profile_color[_row] - self.ui.profile_view.plot(x_axis, profile, - name=_label, - pen=_color) + self.ui.profile_view.plot(x_axis, profile, name=_label, pen=_color) def update_all_plots(self): list_index_file_selected = self.get_all_plots_files_index_selected() @@ -165,9 +174,9 @@ def update_all_plots(self): self.all_plots_legend = self.ui.all_plots_view.addLegend() for _color_index_file, _index_file in enumerate(list_index_file_selected): - _data = self.data_dict['data'][_index_file] + _data = self.data_dict["data"][_index_file] for _color_index_profile, _index_profile in enumerate(list_index_profile_selected): - legend = "File #{} - Profile #{}".format(_index_file, _index_profile) + legend = f"File #{_index_file} - Profile #{_index_profile}" _color = list_rgb_profile_color[_color_index_file + _color_index_profile * nbr_file_selected] [x_axis, y_axis] = self.get_profile(image=np.transpose(_data), profile_roi_row=_index_profile) self.ui.all_plots_view.plot(x_axis, y_axis, name=legend, pen=_color) @@ -177,7 +186,6 @@ def display_image(self, recalculate_image=False): o_image = DisplayImages(parent=self, recalculate_image=recalculate_image) def remove_row(self, row=-1): - if row == -1: return @@ -215,7 +223,6 @@ def update_guide_roi_using_guide_table(self, row=-1): def update_profile_rois(self, row=-1): if row == -1: # update all of them - # # remove all profile rois # self.list_profile_pyqt_roi = list() # for _profile_roi in self.list_profile_pyqt_roi: @@ -240,8 +247,7 @@ def is_row_enabled(self, row=-1): def update_guide_table_using_guide_rois(self): for _row, _roi in enumerate(self.list_guide_pyqt_roi): if self.is_row_enabled(row=_row): - region = _roi.getArraySlice(self.live_image, - self.ui.image_view.imageItem) + region = _roi.getArraySlice(self.live_image, self.ui.image_view.imageItem) x0 = region[0][0].start x1 = region[0][0].stop @@ -275,11 +281,11 @@ def insert_row(self, row=-1): self.ui.tableWidget.insertRow(row) self.ui.tableWidget.setRowHeight(row, self.guide_table_height) - self.set_item_main_table(row=row, col=0, value=default_values['isChecked']) - self.set_item_main_table(row=row, col=1, value=default_values['x0']) - self.set_item_main_table(row=row, col=2, value=default_values['y0']) - self.set_item_main_table(row=row, col=3, value=default_values['width']) - self.set_item_main_table(row=row, col=4, value=default_values['height']) + self.set_item_main_table(row=row, col=0, value=default_values["isChecked"]) + self.set_item_main_table(row=row, col=1, value=default_values["x0"]) + self.set_item_main_table(row=row, col=2, value=default_values["y0"]) + self.set_item_main_table(row=row, col=3, value=default_values["width"]) + self.set_item_main_table(row=row, col=4, value=default_values["height"]) # select new entry nbr_row = self.ui.tableWidget.rowCount() @@ -314,11 +320,11 @@ def rename_all_plots_profiles_table(self): """rename all the profile name""" nbr_row = self.ui.tableWidget.rowCount() for _row in np.arange(nbr_row): - self.ui.all_plots_profiles_table.item(_row, 0).setText("Profile # {}".format(_row + 1)) + self.ui.all_plots_profiles_table.item(_row, 0).setText(f"Profile # {_row + 1}") # setter def set_item_all_plots_profile_table(self, row=0): - item = QTableWidgetItem("Profile # {}".format(row)) + item = QTableWidgetItem(f"Profile # {row}") item.setFlags(QtCore.Qt.ItemIsEnabled | QtCore.Qt.ItemIsSelectable) self.ui.all_plots_profiles_table.setItem(row, 0, item) @@ -338,7 +344,7 @@ def set_item_profile_table(self, row=0): self.ui.tableWidget_2.setCellWidget(row, 0, cell_widget) widget.blockSignals(False) - def set_item_main_table(self, row=0, col=0, value=''): + def set_item_main_table(self, row=0, col=0, value=""): if col == 0: spacerItem_left = QSpacerItem(408, 20, QSizePolicy.Expanding, QSizePolicy.Expanding) widget = QCheckBox() @@ -364,11 +370,11 @@ def set_item_main_table(self, row=0, col=0, value=''): self.ui.tableWidget.setItem(row, col, item) # self.ui.tableWidget.blockSignals(False) - def get_full_roi_dimension(self, row=-1): + def get_full_roi_dimension(self, row=-1): """return the dimension of the full region surrounding the ROI (red rectangle)""" [x0, y0, width, height] = self.get_item_row(row=row) - - roi = collections.namedtuple('roi', ['x0', 'y0', 'width', 'height']) + + roi = collections.namedtuple("roi", ["x0", "y0", "width", "height"]) result = roi(x0, y0, width, height) return result @@ -381,19 +387,19 @@ def get_profile_dimensions(self, row=-1): x_left = x0 x_right = x0 + width - profile_center = y0 + np.abs(int((height) / 2.)) + profile_center = y0 + np.abs(int((height) / 2.0)) y_top = profile_center - delta_profile y_bottom = profile_center + delta_profile else: - profile_center = x0 + np.abs(int((width) / 2.)) + profile_center = x0 + np.abs(int((width) / 2.0)) x_left = profile_center - delta_profile x_right = profile_center + delta_profile y_top = y0 y_bottom = y0 + height - Profile = collections.namedtuple('Profile', ['x_left', 'x_right', 'y_top', 'y_bottom', 'profile_center']) + Profile = collections.namedtuple("Profile", ["x_left", "x_right", "y_top", "y_bottom", "profile_center"]) result = Profile(x_left, x_right, y_top, y_bottom, profile_center) return result @@ -414,7 +420,7 @@ def get_profile(self, image=[], profile_roi_row=-1): mean_axis = 0 x_axis = np.arange(y_top, y_bottom) - _data = image[x_left: x_right, y_top:y_bottom] # because pyqtgrpah display transpose images + _data = image[x_left:x_right, y_top:y_bottom] # because pyqtgrpah display transpose images profile = np.mean(_data, axis=mean_axis) return [x_axis, profile] @@ -429,8 +435,8 @@ def get_item_row(self, row=0): height = int(str(self.ui.tableWidget.item(row, 4).text())) return (x0, y0, width, height) - def get_selected_row(self, source='tableWidget'): - if source == 'tableWidget': + def get_selected_row(self, source="tableWidget"): + if source == "tableWidget": ui = self.ui.tableWidget else: ui = self.ui.tableWidget_2 @@ -458,11 +464,11 @@ def get_all_plots_files_index_selected(self): selection = self.ui.all_plots_file_name_table.selectedRanges() return self.__create_list_from_selection(selection) - def _highlights_guide_profile_pyqt_roi(self, row=-1, status='activated'): + def _highlights_guide_profile_pyqt_roi(self, row=-1, status="activated"): if row == -1: return _guide_ui = self.list_guide_pyqt_roi[row] - _guide_ui.setPen(self.default_guide_roi['color_' + status]) + _guide_ui.setPen(self.default_guide_roi["color_" + status]) def highlight_guide_profile_pyqt_rois(self, row=-1): """When user click a row in the table, the correspoinding ROI will be activated and ots @@ -473,8 +479,8 @@ def highlight_guide_profile_pyqt_rois(self, row=-1): return try: - self._highlights_guide_profile_pyqt_roi(row=previous_active_row, status='deactivated') - self._highlights_guide_profile_pyqt_roi(row=row, status='activated') + self._highlights_guide_profile_pyqt_roi(row=previous_active_row, status="deactivated") + self._highlights_guide_profile_pyqt_roi(row=row, status="activated") except: pass @@ -540,7 +546,7 @@ def table_widget_2_selection_changed(self): nbr_row = self.ui.tableWidget.rowCount() full_range = QTableWidgetSelectionRange(0, 0, nbr_row - 1, nbr_col - 1) self.ui.tableWidget.setRangeSelected(full_range, False) - row = self.get_selected_row(source='tableWidget_2') + row = self.get_selected_row(source="tableWidget_2") new_selection = QTableWidgetSelectionRange(row, 0, row, nbr_col - 1) self.ui.tableWidget.setRangeSelected(new_selection, True) self.highlight_guide_profile_pyqt_rois(row=row) @@ -609,7 +615,7 @@ def left_rotation_fast_clicked(self): def add_row_button_clicked(self): selected_row = self.get_selected_row() - self._highlights_guide_profile_pyqt_roi(row=selected_row, status='deactivated') + self._highlights_guide_profile_pyqt_roi(row=selected_row, status="deactivated") self.insert_row(row=selected_row) self.add_guide_and_profile_pyqt_roi(row=selected_row) self.previous_active_row = selected_row @@ -627,17 +633,14 @@ def profile_along_axis_changed(self): self.display_profiles() def export_button_clicked(self): - _export_folder = QFileDialog.getExistingDirectory(self, - directory=self.working_dir, - caption="Select Output Folder", - options=QFileDialog.ShowDirsOnly) + _export_folder = QFileDialog.getExistingDirectory( + self, directory=self.working_dir, caption="Select Output Folder", options=QFileDialog.ShowDirsOnly + ) if _export_folder: - o_export = ExportProfiles(parent=self, - export_folder=_export_folder) + o_export = ExportProfiles(parent=self, export_folder=_export_folder) o_export.run() - - o_average = ExportAverageROI(parent=self, - export_folder=_export_folder) + + o_average = ExportAverageROI(parent=self, export_folder=_export_folder) o_average.run() QGuiApplication.processEvents() @@ -652,6 +655,7 @@ def next_image_button_clicked(self): def help_button_clicked(self): import webbrowser + webbrowser.open("https://neutronimaging.pages.ornl.gov/en/tutorial/notebooks/profile/") def closeEvent(self, event=None): diff --git a/notebooks/__code/profile_vs_file_index.py b/notebooks/__code/profile_vs_file_index.py index eab8b816..2747f008 100755 --- a/notebooks/__code/profile_vs_file_index.py +++ b/notebooks/__code/profile_vs_file_index.py @@ -1,31 +1,27 @@ -from NeuNorm.normalization import Normalization - -from IPython.display import HTML -from IPython.display import display - -from ipywidgets.widgets import interact -from ipywidgets import widgets +import datetime +import os +import shutil -import matplotlib.pyplot as plt import matplotlib.patches as patches +import matplotlib.pyplot as plt import numpy as np -import os import pandas as pd -import datetime -import shutil +from IPython.display import HTML, display +from ipywidgets import widgets +from ipywidgets.widgets import interact +from NeuNorm.normalization import Normalization -from __code.file_handler import make_ascii_file from __code import ipywe +from __code.file_handler import make_ascii_file -class ProfileVsFileIndex(object): - +class ProfileVsFileIndex: o_load = None folder_ui = None roi = [] - list_data_files = [] # filename - list_data = [] # data + list_data_files = [] # filename + list_data = [] # data height = -1 width = -1 @@ -33,18 +29,17 @@ class ProfileVsFileIndex(object): integrated_data = None rebin_range = None - def __init__(self, working_dir='./'): + def __init__(self, working_dir="./"): self.working_dir = working_dir def select_images(self): - self.folder_ui = ipywe.fileselector.FileSelectorPanel(instruction='Select Input Images ...', - start_dir=self.working_dir, - multiple=True) + self.folder_ui = ipywe.fileselector.FileSelectorPanel( + instruction="Select Input Images ...", start_dir=self.working_dir, multiple=True + ) self.folder_ui.show() def load_images(self): - try: self.list_data_files = self.folder_ui.selected except: @@ -54,10 +49,9 @@ def load_images(self): self.o_load = Normalization() self.o_load.load(file=self.list_data_files, notebook=True) - self.list_data = self.o_load.data['sample']['data'] + self.list_data = self.o_load.data["sample"]["data"] def __calculate_integrated_data(self): - _data = self.list_data if len(_data) > 1: integrated_array = np.array([_array for _array in _data]) @@ -66,7 +60,6 @@ def __calculate_integrated_data(self): return np.squeeze(_data) def select_profile(self, roi_left=0, roi_top=0, roi_height=-1, roi_width=-1): - self.integrated_data = self.__calculate_integrated_data() self.image_dimension = np.shape(self.integrated_data) @@ -79,57 +72,33 @@ def select_profile(self, roi_left=0, roi_top=0, roi_height=-1, roi_width=-1): roi_width = self.width - 1 def plot_images_with_roi(x_left, y_top, width, height, contrast_min, contrast_max): - plt.figure(figsize=(5, 5)) ax_img = plt.subplot(111) - ax_img.imshow(self.integrated_data, cmap='rainbow', - interpolation=None, - vmin = contrast_min, - vmax = contrast_max) + ax_img.imshow( + self.integrated_data, cmap="rainbow", interpolation=None, vmin=contrast_min, vmax=contrast_max + ) ax_img.add_patch(patches.Rectangle((x_left, y_top), width, height, fill=False)) return [x_left, y_top, width, height] - self.profile = interact(plot_images_with_roi, - x_left=widgets.IntSlider(min=0, - max=self.width - 1, - step=1, - value=roi_left, - continuous_update=False), - y_top=widgets.IntSlider(min=0, - max=self.height - 1, - step=1, - value=roi_top, - continuous_update=False), - width=widgets.IntSlider(min=0, - max=self.width - 1, - step=1, - value=roi_width, - continuous_update=False), - height=widgets.IntSlider(min=0, - max=self.height - 1, - step=1, - value=roi_height, - continuous_update=False), - contrast_min=widgets.FloatSlider(min=0, - max=1, - step=0.1, - value=0, - continuous_update=False), - contrast_max=widgets.FloatSlider(min=0, - max=2, - value=1, - step=0.1, - continuous_update=False)) + self.profile = interact( + plot_images_with_roi, + x_left=widgets.IntSlider(min=0, max=self.width - 1, step=1, value=roi_left, continuous_update=False), + y_top=widgets.IntSlider(min=0, max=self.height - 1, step=1, value=roi_top, continuous_update=False), + width=widgets.IntSlider(min=0, max=self.width - 1, step=1, value=roi_width, continuous_update=False), + height=widgets.IntSlider(min=0, max=self.height - 1, step=1, value=roi_height, continuous_update=False), + contrast_min=widgets.FloatSlider(min=0, max=1, step=0.1, value=0, continuous_update=False), + contrast_max=widgets.FloatSlider(min=0, max=2, value=1, step=0.1, continuous_update=False), + ) def calculate_integrated_profile(self): [roi_left, roi_top, roi_width, roi_height] = self.profile.widget.result self.roi = [roi_left, roi_top, roi_width, roi_height] - sample_data = self.o_load.data['sample']['data'] + sample_data = self.o_load.data["sample"]["data"] self.sample_data = sample_data w = widgets.IntProgress() @@ -139,7 +108,7 @@ def calculate_integrated_profile(self): profile_array = [] for _image in sample_data: - _profile_image = _image[roi_top:roi_top + roi_height, roi_left:roi_left + roi_width] + _profile_image = _image[roi_top : roi_top + roi_height, roi_left : roi_left + roi_width] _value = np.mean(_profile_image) profile_array.append(_value) w.value = index @@ -148,18 +117,18 @@ def calculate_integrated_profile(self): w.close() def select_vertical_pixel_binning(self): - - box = widgets.HBox([widgets.Label("Vertical Binning", - layout=widgets.Layout(width='20%')), - widgets.Dropdown(options=['1','2','3','4','5','6','7','8','9'], - value='1', - layout=widgets.Layout(width='20%')), - ]) + box = widgets.HBox( + [ + widgets.Label("Vertical Binning", layout=widgets.Layout(width="20%")), + widgets.Dropdown( + options=["1", "2", "3", "4", "5", "6", "7", "8", "9"], value="1", layout=widgets.Layout(width="20%") + ), + ] + ) display(box) self.bin_ui = box.children[1] def calculate_profile(self): - self.rebin = int(self.bin_ui.value) sample_data = self.sample_data @@ -173,9 +142,9 @@ def calculate_profile(self): profile_1d = [] for _index, _array in enumerate(sample_data): - _roi_array = _array[roi_top:roi_top + roi_height, roi_left:roi_left + roi_width] + _roi_array = _array[roi_top : roi_top + roi_height, roi_left : roi_left + roi_width] _width_profile = np.mean(_roi_array, 1) - rebin_width_profile = [np.mean(_width_profile[x:x + self.rebin]) for x in self.rebin_range] + rebin_width_profile = [np.mean(_width_profile[x : x + self.rebin]) for x in self.rebin_range] profile_1d.append(rebin_width_profile) _index += 1 w.value = _index @@ -183,11 +152,10 @@ def calculate_profile(self): self.profile_1d = profile_1d def display_profile(self): - [roi_left, roi_top, roi_width, roi_height] = self.roi _rebin = self.rebin - pixel_range = np.arange(roi_top, roi_height-roi_top, _rebin) + pixel_range = np.arange(roi_top, roi_height - roi_top, _rebin) def plot_profile(file_index): data_1d = self.profile_1d[file_index] @@ -202,24 +170,21 @@ def plot_profile(file_index): ax_plt.set_title(os.path.basename(self.list_data_files[file_index])) ax_img = plt.subplot(212) - ax_img.imshow(data_2d, cmap='rainbow', - interpolation=None) + ax_img.imshow(data_2d, cmap="rainbow", interpolation=None) ax_img.add_patch(patches.Rectangle((roi_left, roi_top), roi_width, roi_height, fill=False)) number_of_files = len(self.sample_data) - _ = interact(plot_profile, - file_index=widgets.IntSlider(min=0, - max=number_of_files - 1, - value=0, - step=1, - description="Image Index", - continuous_update=False)) + _ = interact( + plot_profile, + file_index=widgets.IntSlider( + min=0, max=number_of_files - 1, value=0, step=1, description="Image Index", continuous_update=False + ), + ) def select_file_name_vs_time_stamp(self): - - self.file_ui = ipywe.fileselector.FileSelectorPanel(instruction='Select file_name_vs_time_stamp File ...', - start_dir=self.working_dir, - multiple=False) + self.file_ui = ipywe.fileselector.FileSelectorPanel( + instruction="Select file_name_vs_time_stamp File ...", start_dir=self.working_dir, multiple=False + ) self.file_ui.show() @@ -233,14 +198,14 @@ def load_file_name_vs_time_stamp_file(self): self.df.head() - self.list_file_name = self.df['#filename'].values + self.list_file_name = self.df["#filename"].values list_column = self.df.columns.values self.list_time_stamp = self.df[list_column[1]].values def select_output_folder(self): - self.output_folder_ui = ipywe.fileselector.FileSelectorPanel(instruction='Select Output Folder ...', - start_dir=self.working_dir, - type='directory') + self.output_folder_ui = ipywe.fileselector.FileSelectorPanel( + instruction="Select Output Folder ...", start_dir=self.working_dir, type="directory" + ) self.output_folder_ui.show() def __get_time_stamp(self, file_name): @@ -248,10 +213,11 @@ def __get_time_stamp(self, file_name): return self.list_time_stamp[_index_time_stamp] def output_profiles(self): - # make name of output folder - output_folder = os.path.join(os.path.abspath(self.output_folder_ui.selected), - os.path.basename(os.path.dirname(self.list_file_name[0]) + '_profiles')) + output_folder = os.path.join( + os.path.abspath(self.output_folder_ui.selected), + os.path.basename(os.path.dirname(self.list_file_name[0]) + "_profiles"), + ) output_folder = os.path.abspath(output_folder) if os.path.isdir(output_folder): shutil.rmtree(output_folder) @@ -259,7 +225,7 @@ def output_profiles(self): [roi_left, roi_top, roi_width, roi_height] = self.roi - self.list_data_files_short = [os.path.basename(_file) for _file in self.df['#filename']] + self.list_data_files_short = [os.path.basename(_file) for _file in self.df["#filename"]] time_0 = self.__get_time_stamp(self.list_data_files[0]) w = widgets.IntProgress() @@ -271,39 +237,33 @@ def output_profiles(self): _time_stamp = self.__get_time_stamp(_file_name) metadata = [] - metadata.append("#Image: {}".format(_file_name)) + metadata.append(f"#Image: {_file_name}") metadata.append( - "#ROI selected (y0, x0, height, width): ({}, {}, {}, {})".format(roi_top, - roi_left, - roi_height, - roi_width)) - metadata.append("#Rebin in y direction: {}".format(self.rebin)) + f"#ROI selected (y0, x0, height, width): ({roi_top}, {roi_left}, {roi_height}, {roi_width})" + ) + metadata.append(f"#Rebin in y direction: {self.rebin}") _time_stamp_str = datetime.datetime.fromtimestamp(_time_stamp).strftime("%Y-%m-%d %H:%M:%S") - metadata.append("#Time Stamp: {}".format(_time_stamp_str)) + metadata.append(f"#Time Stamp: {_time_stamp_str}") _delta_time = _time_stamp - time_0 - metadata.append("#Delta Time (s): {}".format(_delta_time)) + metadata.append(f"#Delta Time (s): {_delta_time}") metadata.append("#") metadata.append("#Label: pixel_index, counts") data = [] for _index_data, value in enumerate(self.profile_1d[_index]): - data.append("{}, {}".format(self.rebin_range[_index_data], value)) + data.append(f"{self.rebin_range[_index_data]}, {value}") _base_file_name = os.path.basename(_file_name) [base, _] = os.path.splitext(_base_file_name) - output_file_name = os.path.join(output_folder, base + '.txt') - make_ascii_file(metadata=metadata, - data=data, - output_file_name=output_file_name, - dim='1d') + output_file_name = os.path.join(output_folder, base + ".txt") + make_ascii_file(metadata=metadata, data=data, output_file_name=output_file_name, dim="1d") - w.value = _index+1 + w.value = _index + 1 w.close() - display(HTML('Files created in folder ' + - output_folder + '')) + display(HTML('Files created in folder ' + output_folder + "")) diff --git a/notebooks/__code/radial_profile/display.py b/notebooks/__code/radial_profile/display.py index a0adf7fd..63de6c01 100755 --- a/notebooks/__code/radial_profile/display.py +++ b/notebooks/__code/radial_profile/display.py @@ -5,7 +5,6 @@ class Display(Parent): - def grid(self): [width, height] = self.parent.get_image_dimension(self.parent.working_data) bin_size = self.parent.ui.grid_size_slider.value() @@ -27,7 +26,7 @@ def grid(self): # vertical lines x = x0 index = 0 - while (x <= x0 + width): + while x <= x0 + width: one_edge = [x, y0] other_edge = [x, real_height] pos.append(one_edge) @@ -38,7 +37,7 @@ def grid(self): # horizontal lines y = y0 - while (y <= y0 + height): + while y <= y0 + height: one_edge = [x0, y] other_edge = [read_width, y] pos.append(one_edge) @@ -50,21 +49,20 @@ def grid(self): pos = np.array(pos) adj = np.array(adj) - line_color = (self.parent.guide_color_slider['red'], - self.parent.guide_color_slider['green'], - self.parent.guide_color_slider['blue'], - self.parent.guide_color_slider['alpha'], 0.5) - lines = np.array([line_color for n in np.arange(len(pos))], - dtype=[('red', np.ubyte), ('green', np.ubyte), - ('blue', np.ubyte), ('alpha', np.ubyte), - ('width', float)]) + line_color = ( + self.parent.guide_color_slider["red"], + self.parent.guide_color_slider["green"], + self.parent.guide_color_slider["blue"], + self.parent.guide_color_slider["alpha"], + 0.5, + ) + lines = np.array( + [line_color for n in np.arange(len(pos))], + dtype=[("red", np.ubyte), ("green", np.ubyte), ("blue", np.ubyte), ("alpha", np.ubyte), ("width", float)], + ) line_view_binning = pg.GraphItem() self.parent.ui.image_view.addItem(line_view_binning) - line_view_binning.setData(pos=pos, - adj=adj, - pen=lines, - symbol=None, - pxMode=False) + line_view_binning.setData(pos=pos, adj=adj, pen=lines, symbol=None, pxMode=False) - self.parent.line_view_binning = line_view_binning \ No newline at end of file + self.parent.line_view_binning = line_view_binning diff --git a/notebooks/__code/radial_profile/event_handler.py b/notebooks/__code/radial_profile/event_handler.py index d8f10acf..69b91eb5 100755 --- a/notebooks/__code/radial_profile/event_handler.py +++ b/notebooks/__code/radial_profile/event_handler.py @@ -7,7 +7,6 @@ class EventHandler(Parent): - def file_index_changed(self): file_index = self.parent.ui.slider.value() live_image = self.parent.get_selected_image(file_index) @@ -35,10 +34,10 @@ def guide_color_changed(self): green = self.parent.ui.guide_green_slider.value() blue = self.parent.ui.guide_blue_slider.value() alpha = self.parent.ui.guide_alpha_slider.value() - self.parent.guide_color_slider['red'] = red - self.parent.guide_color_slider['green'] = green - self.parent.guide_color_slider['blue'] = blue - self.parent.guide_color_slider['alpha'] = alpha + self.parent.guide_color_slider["red"] = red + self.parent.guide_color_slider["green"] = green + self.parent.guide_color_slider["blue"] = blue + self.parent.guide_color_slider["alpha"] = alpha self.circle_center_changed() self.parent.ui.image_view.removeItem(self.parent.line_view_binning) @@ -66,28 +65,29 @@ def circle_center_changed(self): pos = np.array([[x0, y0], [x1, y1], [x2, y2]]) adj = np.array([[0, 1], [1, 2], [2, 0]]) - symbols = ['+', 'o', 'o'] + symbols = ["+", "o", "o"] - lines = np.array([(255, 0, 0, 255, 2), (255, 0, 0, 0, 1), (255, 0, 0, 255, 2)], - dtype=[('red', np.ubyte), ('green', np.ubyte), ('blue', np.ubyte), ('alpha', np.ubyte), - ('width', float)]) + lines = np.array( + [(255, 0, 0, 255, 2), (255, 0, 0, 0, 1), (255, 0, 0, 255, 2)], + dtype=[("red", np.ubyte), ("green", np.ubyte), ("blue", np.ubyte), ("alpha", np.ubyte), ("width", float)], + ) if self.parent.sector_g: self.parent.ui.image_view.removeItem(self.parent.sector_g) self.parent.sector_g = pg.GraphItem() self.parent.ui.image_view.addItem(self.parent.sector_g) self.parent.sector_g.setData(pos=pos, adj=adj, pen=lines, size=1, symbol=symbols, pxMode=False) - + def update_angle_label_position(self): x0 = int(str(self.parent.ui.circle_x.text())) y0 = int(str(self.parent.ui.circle_y.text())) # add angle 0, 90, 180 and 270 labels if self.parent.angle_0 is None: - self.parent.angle_0 = pg.TextItem(text=u'0\u00b0', anchor=(0, 1)) - self.parent.angle_90 = pg.TextItem(text=u'90\u00b0', anchor=(0, 1)) - self.parent.angle_180 = pg.TextItem(text=u'180\u00b0', anchor=(0, 0)) - self.parent.angle_270 = pg.TextItem(text=u'270\u00b0', anchor=(1, 1)) + self.parent.angle_0 = pg.TextItem(text="0\u00b0", anchor=(0, 1)) + self.parent.angle_90 = pg.TextItem(text="90\u00b0", anchor=(0, 1)) + self.parent.angle_180 = pg.TextItem(text="180\u00b0", anchor=(0, 0)) + self.parent.angle_270 = pg.TextItem(text="270\u00b0", anchor=(1, 1)) self.parent.ui.image_view.addItem(self.parent.angle_0) self.parent.ui.image_view.addItem(self.parent.angle_90) @@ -98,23 +98,22 @@ def update_angle_label_position(self): self.parent.angle_90.setPos(self.parent.height, y0) self.parent.angle_180.setPos(x0, self.parent.width) self.parent.angle_270.setPos(0, y0) - + def calculate_sector_xy_position(self, angle=0, x0=0, y0=0): - x = np.NaN - y = np.NaN + x = np.nan + y = np.nan - angle_top_right = self.parent.corners['top_right'] - angle_bottom_right = self.parent.corners['bottom_right'] - angle_bottom_left = self.parent.corners['bottom_left'] - angle_top_left = self.parent.corners['top_left'] + angle_top_right = self.parent.corners["top_right"] + angle_bottom_right = self.parent.corners["bottom_right"] + angle_bottom_left = self.parent.corners["bottom_left"] + angle_top_left = self.parent.corners["top_left"] # print("angle_top_right: {}".format(angle_top_right)) # print("angle_bottom_right: {}".format(angle_bottom_right)) # print("angle_bottom_left: {}".format(angle_bottom_left)) # print("angle_top_left: {}".format(angle_top_left)) - if (angle_top_right <= angle) and \ - (angle <= angle_bottom_right): + if (angle_top_right <= angle) and (angle <= angle_bottom_right): # right # get x @@ -198,9 +197,9 @@ def calculate_sector_xy_position(self, angle=0, x0=0, y0=0): x = x0 - x return [y, x] - + def calculate_corners_angles(self): - '''top vertical being angle 0''' + """top vertical being angle 0""" x0 = float(str(self.parent.ui.circle_x.text())) y0 = float(str(self.parent.ui.circle_y.text())) @@ -210,10 +209,10 @@ def calculate_corners_angles(self): # width = self.parent.height # height = self.parent.width - theta_tr = np.NaN # angle top right - theta_br = np.NaN # bottom right - theta_bl = np.NaN # bottom left - theta_tl = np.NaN # top left + theta_tr = np.nan # angle top right + theta_br = np.nan # bottom right + theta_bl = np.nan # bottom left + theta_tl = np.nan # top left theta_tr = np.arctan((width - x0) / y0) theta_tr_deg = np.rad2deg(theta_tr) @@ -227,11 +226,11 @@ def calculate_corners_angles(self): theta_tl = 2 * np.pi - np.arctan(x0 / y0) theta_tl_deg = np.rad2deg(theta_tl) - self.parent.corners['top_right'] = theta_tr_deg - self.parent.corners['bottom_right'] = theta_br_deg - self.parent.corners['bottom_left'] = theta_bl_deg - self.parent.corners['top_left'] = theta_tl_deg - + self.parent.corners["top_right"] = theta_tr_deg + self.parent.corners["bottom_right"] = theta_br_deg + self.parent.corners["bottom_left"] = theta_bl_deg + self.parent.corners["top_left"] = theta_tl_deg + def sector_radio_button_changed(self): is_full_circle = self.parent.ui.sector_full_circle.isChecked() if is_full_circle: @@ -286,11 +285,13 @@ def max_radius_handler(self, is_max_radius_selected=None): _pen.setColor(QtGui.QColor(0, 0, 255)) _pen.setWidthF(0.1) - self.parent.max_radius_item = pg.CircleROI([x0 - max_radius, y0 - max_radius], - [2*max_radius, 2*max_radius], - movable=False, - resizable=False, - pen=_pen) + self.parent.max_radius_item = pg.CircleROI( + [x0 - max_radius, y0 - max_radius], + [2 * max_radius, 2 * max_radius], + movable=False, + resizable=False, + pen=_pen, + ) handles = self.parent.max_radius_item.getHandles() self.parent.ui.image_view.addItem(self.parent.max_radius_item) for _handle in handles: diff --git a/notebooks/__code/radial_profile/initialization.py b/notebooks/__code/radial_profile/initialization.py index 6c2aa3a7..5f3ddc77 100755 --- a/notebooks/__code/radial_profile/initialization.py +++ b/notebooks/__code/radial_profile/initialization.py @@ -1,14 +1,12 @@ -from qtpy.QtWidgets import QProgressBar, QVBoxLayout, QHBoxLayout, QLabel, QSlider, QWidget, QSpacerItem, QSizePolicy -from qtpy import QtCore import pyqtgraph as pg -import numpy as np +from qtpy import QtCore +from qtpy.QtWidgets import QHBoxLayout, QLabel, QProgressBar, QSizePolicy, QSlider, QSpacerItem, QVBoxLayout, QWidget from __code._utilities.parent import Parent from __code.radial_profile.event_handler import EventHandler class Initialization(Parent): - def pyqtgraph(self): self.parent.ui.image_view = pg.ImageView(view=pg.PlotItem()) self.parent.ui.image_view.ui.roiBtn.hide() @@ -65,19 +63,19 @@ def widgets(self): self.parent.ui.circle_x.setText(str(int(self.parent.height / 2))) # self.parent.ui.lineEdit.setText(str(self.parent.grid_size)) - self.parent.ui.guide_red_slider.setValue(self.parent.guide_color_slider['red']) - self.parent.ui.guide_green_slider.setValue(self.parent.guide_color_slider['green']) - self.parent.ui.guide_blue_slider.setValue(self.parent.guide_color_slider['blue']) - self.parent.ui.guide_alpha_slider.setValue(self.parent.guide_color_slider['alpha']) + self.parent.ui.guide_red_slider.setValue(self.parent.guide_color_slider["red"]) + self.parent.ui.guide_green_slider.setValue(self.parent.guide_color_slider["green"]) + self.parent.ui.guide_blue_slider.setValue(self.parent.guide_color_slider["blue"]) + self.parent.ui.guide_alpha_slider.setValue(self.parent.guide_color_slider["alpha"]) - self.parent.ui.sector_from_value.setText(str(self.parent.sector_range['from'])) - self.parent.ui.sector_to_value.setText(str(self.parent.sector_range['to'])) + self.parent.ui.sector_from_value.setText(str(self.parent.sector_range["from"])) + self.parent.ui.sector_to_value.setText(str(self.parent.sector_range["to"])) - self.parent.ui.sector_from_units.setText(u"\u00B0") - self.parent.ui.sector_to_units.setText(u"\u00B0") + self.parent.ui.sector_from_units.setText("\u00b0") + self.parent.ui.sector_to_units.setText("\u00b0") - self.parent.ui.from_angle_slider.setValue(self.parent.sector_range['from']) - self.parent.ui.to_angle_slider.setValue(self.parent.sector_range['to']) + self.parent.ui.from_angle_slider.setValue(self.parent.sector_range["from"]) + self.parent.ui.to_angle_slider.setValue(self.parent.sector_range["to"]) self.parent.sector_radio_button_changed() @@ -85,7 +83,7 @@ def widgets(self): o_event = EventHandler(parent=self.parent) max_radius = o_event.retrieve_max_radius_possible() self.parent.ui.max_radius_slider.setMaximum(int(max_radius)) - self.parent.ui.max_radius_slider.setValue(int(max_radius/2)) + self.parent.ui.max_radius_slider.setValue(int(max_radius / 2)) def statusbar(self): self.parent.eventProgress = QProgressBar(self.parent.ui.statusbar) diff --git a/notebooks/__code/radial_profile/radial_profile.py b/notebooks/__code/radial_profile/radial_profile.py index 86e76669..74d216f3 100755 --- a/notebooks/__code/radial_profile/radial_profile.py +++ b/notebooks/__code/radial_profile/radial_profile.py @@ -1,33 +1,29 @@ -from IPython.display import HTML -from IPython.display import display -from qtpy.QtWidgets import QMainWindow, QFileDialog, QApplication -from qtpy import QtCore, QtGui -import numpy as np import os +import warnings +import numpy as np +from IPython.display import HTML, display +from qtpy import QtCore, QtGui +from qtpy.QtWidgets import QApplication, QFileDialog, QMainWindow from sectorizedradialprofile.calculate_radial_profile import CalculateRadialProfile -from __code import load_ui -from __code import file_handler +from __code import file_handler, load_ui from __code._utilities.color import Color +from __code._utilities.folder import make_or_reset_folder +from __code._utilities.metadata_handler import MetadataHandler +from __code.radial_profile.display import Display from __code.radial_profile.event_handler import EventHandler from __code.radial_profile.initialization import Initialization -from __code.radial_profile.display import Display -from __code._utilities.metadata_handler import MetadataHandler -from __code._utilities.folder import make_or_reset_folder -import warnings -warnings.filterwarnings('ignore') +warnings.filterwarnings("ignore") class RadialProfile: - nbr_files = 0 - images_dimension = {'height': 0, - 'width': 0} + images_dimension = {"height": 0, "width": 0} working_data = [] - working_dir = '' + working_dir = "" list_images = [] profile_data = [] @@ -43,15 +39,14 @@ def __init__(self, parent_ui=None, data=None, list_files=None, working_dir=""): self.list_rgb_profile_color = color.get_list_rgb(nbr_color=len(self.working_data)) def calculate(self, center=None, angle_range=None, max_radius=None): - QApplication.setOverrideCursor(QtCore.Qt.WaitCursor) self.center = center self.angle_range = angle_range self.max_radius = max_radius - center = tuple([center['x0'], center['y0']]) - angle_range = tuple([angle_range['from'], angle_range['to']]) + center = tuple([center["x0"], center["y0"]]) + angle_range = tuple([angle_range["from"], angle_range["to"]]) nbr_files = len(self.working_data) @@ -66,16 +61,14 @@ def calculate(self, center=None, angle_range=None, max_radius=None): self.parent_ui.ui.profile_plot.clear() try: self.parent_ui.ui.profile_plot.scene().removeItem(self.parent_ui.legend) - except Exception as e: + except Exception: pass self.parent_ui.legend = self.parent_ui.ui.profile_plot.addLegend() QtGui.QGuiApplication.processEvents() for _index in np.arange(nbr_files): o_calculation = CalculateRadialProfile(data=self.working_data[_index]) - o_calculation.add_params(center=center, - angle_range=angle_range, - radius=max_radius) + o_calculation.add_params(center=center, angle_range=angle_range, radius=max_radius) o_calculation.calculate() _short_file_name = self.short_list_files[_index] @@ -86,7 +79,7 @@ def calculate(self, center=None, angle_range=None, max_radius=None): profile = np.array(_df["mean"]) _array_profile.append(profile) - self.parent_ui.eventProgress.setValue(_index+1) + self.parent_ui.eventProgress.setValue(_index + 1) # display _color = self.list_rgb_profile_color[_index] @@ -102,47 +95,49 @@ def calculate(self, center=None, angle_range=None, max_radius=None): def plot(self, xaxis, data, label, color): self.parent_ui.ui.profile_plot.plot(xaxis, data, name=label, pen=color) - self.parent_ui.ui.profile_plot.setLabel('left', "Average counts") - self.parent_ui.ui.profile_plot.setLabel('bottom', "Radius (pixel)") + self.parent_ui.ui.profile_plot.setLabel("left", "Average counts") + self.parent_ui.ui.profile_plot.setLabel("bottom", "Radius (pixel)") - def export(self, output_folder=''): + def export(self, output_folder=""): if output_folder: - output_folder_name = os.path.basename(self.working_dir) + "_profiles" output_folder = os.path.join(output_folder, output_folder_name) make_or_reset_folder(output_folder) for _index, _file in enumerate(self.list_images): - time_stamp_of_that_file = MetadataHandler.get_time_stamp(file_name=_file) [input_image_base_name, ext] = os.path.splitext(os.path.basename(_file)) - output_file_name = os.path.join(output_folder, - input_image_base_name + '_profile_c_x{}_y{}_angle_{}_to_{}'.format( - self.center['x0'], self.center['y0'], - self.angle_range['from'], self.angle_range['to'])) + output_file_name = os.path.join( + output_folder, + input_image_base_name + + "_profile_c_x{}_y{}_angle_{}_to_{}".format( + self.center["x0"], self.center["y0"], self.angle_range["from"], self.angle_range["to"] + ), + ) if self.max_radius: - output_file_name += "_max_radius_of_{}_pixels".format(self.max_radius) + output_file_name += f"_max_radius_of_{self.max_radius}_pixels" output_file_name += ".txt" output_file_name = os.path.abspath(output_file_name) - text = ["# source image: {}".format(_file)] - text.append("# timestamp: {}".format(time_stamp_of_that_file)) - text.append("# center [x0, y0]: [{},{}]".format(self.center['x0'], self.center['y0'])) + text = [f"# source image: {_file}"] + text.append(f"# timestamp: {time_stamp_of_that_file}") + text.append("# center [x0, y0]: [{},{}]".format(self.center["x0"], self.center["y0"])) text.append( - "# angular range from {}degrees to {}degrees".format(self.angle_range['from'], - self.angle_range['to'])) - text.append('') - text.append('#pixel_from_center, Average_counts') - data = list(zip(np.arange(len(self.profile_data[_index])), self.profile_data[_index])) + "# angular range from {}degrees to {}degrees".format( + self.angle_range["from"], self.angle_range["to"] + ) + ) + text.append("") + text.append("#pixel_from_center, Average_counts") + data = list(zip(np.arange(len(self.profile_data[_index])), self.profile_data[_index], strict=False)) file_handler.make_ascii_file(metadata=text, data=data, output_file_name=output_file_name) - self.parent_ui.ui.statusbar.showMessage("Profiles Exported in {}!".format(output_folder), 10000) + self.parent_ui.ui.statusbar.showMessage(f"Profiles Exported in {output_folder}!", 10000) self.parent_ui.ui.statusbar.setStyleSheet("color: green") class SelectRadialParameters(QMainWindow): - grid_size = 200 live_data = [] @@ -153,24 +148,17 @@ class SelectRadialParameters(QMainWindow): max_radius_item = None - guide_color_slider = {'red': 255, - 'green': 0, - 'blue': 255, - 'alpha': 255} + guide_color_slider = {"red": 255, "green": 0, "blue": 255, "alpha": 255} - sector_range = {'from': 0, - 'to': 90} + sector_range = {"from": 0, "to": 90} - corners = {'top_right': np.NaN, - 'bottom_right': np.NaN, - 'bottom_left': np.NaN, - 'top_left': np.NaN} + corners = {"top_right": np.nan, "bottom_right": np.nan, "bottom_left": np.nan, "top_left": np.nan} hLine = None vLine = None - height = np.NaN - width = np.NaN + height = np.nan + width = np.nan angle_0 = None angle_90 = None @@ -185,20 +173,19 @@ class SelectRadialParameters(QMainWindow): dict_files_timestamp = {} # def __init__(self, parent=None, o_profile=None): - def __init__(self, parent=None, working_dir='', data_dict=None): - + def __init__(self, parent=None, working_dir="", data_dict=None): # o_profile.load_images() - self.list_images = data_dict['file_name'] - self.working_data = data_dict['data'] - self.metadata = data_dict['metadata'] + self.list_images = data_dict["file_name"] + self.working_data = data_dict["data"] + self.metadata = data_dict["metadata"] self.working_dir = working_dir # self.rotated_working_data = data_dict['data'] [self.height, self.width] = np.shape(self.working_data[0]) super(QMainWindow, self).__init__(parent) - ui_full_path = os.path.join(os.path.dirname(os.path.dirname(os.path.dirname(__file__))), - os.path.join('ui', - 'ui_radial_profile.ui')) + ui_full_path = os.path.join( + os.path.dirname(os.path.dirname(os.path.dirname(__file__))), os.path.join("ui", "ui_radial_profile.ui") + ) self.ui = load_ui(ui_full_path, baseinstance=self) self.setWindowTitle("Define center and sector of profile") @@ -216,20 +203,29 @@ def __init__(self, parent=None, working_dir='', data_dict=None): self.apply_clicked() - display(HTML('Select the center of the circle and the angular ' - 'sector in the UI that popped up \ - (maybe hidden behind this browser!)')) + display( + HTML( + 'Select the center of the circle and the angular ' + "sector in the UI that popped up \ + (maybe hidden behind this browser!)" + ) + ) except (AttributeError, ValueError): - display(HTML('Error displaying the data. This is probably ' - 'due the fact that the images do not have the same shape. Please use the notebook ' - 'match_images_shapes' - ' to fix the error!')) + display( + HTML( + 'Error displaying the data. This is probably ' + "due the fact that the images do not have the same shape. Please use the notebook " + 'match_images_shapes' + ' to fix the error!' + ) + ) self.close() def help_button_clicked(self): import webbrowser + webbrowser.open("https://neutronimaging.pages.ornl.gov/tutorial/notebooks/radial_profile/") def grid_slider_moved(self, value): @@ -245,20 +241,20 @@ def sector_radio_button_changed(self): # from and to angles sliders def sector_from_angle_moved(self, value): self.ui.sector_from_value.setText(str(value)) - self.check_from_to_angle(do_not_touch='from') + self.check_from_to_angle(do_not_touch="from") self.sector_changed() def sector_to_angle_moved(self, value): self.ui.sector_to_value.setText(str(value)) - self.check_from_to_angle(do_not_touch='to') + self.check_from_to_angle(do_not_touch="to") self.sector_changed() def sector_from_angle_clicked(self): - self.check_from_to_angle(do_not_touch='from') + self.check_from_to_angle(do_not_touch="from") self.sector_changed() def sector_to_angle_clicked(self): - self.check_from_to_angle(do_not_touch='to') + self.check_from_to_angle(do_not_touch="to") self.sector_changed() def get_image_dimension(self, array_image): @@ -268,7 +264,6 @@ def get_image_dimension(self, array_image): return np.shape(array_image) def get_selected_image(self, file_index): - if len(np.shape(self.working_data)) > 2: return self.working_data[file_index] else: @@ -286,24 +281,20 @@ def grid_size_changed(self): o_display.grid() def calculate_profiles_clicked(self): - o_profile = RadialProfile(parent_ui=self, - data=self.working_data, - list_files=self.list_images, - working_dir=self.working_dir) + o_profile = RadialProfile( + parent_ui=self, data=self.working_data, list_files=self.list_images, working_dir=self.working_dir + ) radius = self.ui.max_radius_slider.value() if self.ui.max_radius_radioButton.isChecked() else None - o_profile.calculate(center=self.center, - angle_range=self.angle_range, - max_radius=radius) + o_profile.calculate(center=self.center, angle_range=self.angle_range, max_radius=radius) self.profile_data = o_profile.profile_data self.o_profile = o_profile self.check_export_button_status() def export_profiles_clicked(self): - _export_folder = QFileDialog.getExistingDirectory(self, - directory=self.working_dir, - caption="Select Output Folder", - options=QFileDialog.ShowDirsOnly) + _export_folder = QFileDialog.getExistingDirectory( + self, directory=self.working_dir, caption="Select Output Folder", options=QFileDialog.ShowDirsOnly + ) QApplication.processEvents() if _export_folder: o_profile = self.o_profile @@ -318,11 +309,11 @@ def check_export_button_status(self): status = True self.ui.export_profiles_button.setEnabled(status) - def check_from_to_angle(self, do_not_touch='from'): + def check_from_to_angle(self, do_not_touch="from"): from_angle = self.ui.from_angle_slider.value() to_angle = self.ui.to_angle_slider.value() - if do_not_touch == 'from': + if do_not_touch == "from": if to_angle < from_angle: self.ui.to_angle_slider.setValue(from_angle) self.ui.sector_to_value.setText(str(from_angle)) @@ -333,10 +324,10 @@ def check_from_to_angle(self, do_not_touch='from'): def manual_circle_center_changed(self): new_x0 = int(self.vLine.value()) - self.ui.circle_x.setText("{}".format(new_x0)) + self.ui.circle_x.setText(f"{new_x0}") new_y0 = int(self.hLine.value()) - self.ui.circle_y.setText("{}".format(new_y0)) + self.ui.circle_y.setText(f"{new_y0}") o_event = EventHandler(parent=self) o_event.circle_center_changed() @@ -358,8 +349,8 @@ def guide_color_changed(self, index): def apply_clicked(self): _center = {} - _center['x0'] = float(str(self.ui.circle_x.text())) - _center['y0'] = float(str(self.ui.circle_y.text())) + _center["x0"] = float(str(self.ui.circle_x.text())) + _center["y0"] = float(str(self.ui.circle_y.text())) self.center = _center _angle_range = {} @@ -369,8 +360,8 @@ def apply_clicked(self): else: _from_angle = float(self.ui.from_angle_slider.value()) _to_angle = float(self.ui.to_angle_slider.value()) - _angle_range['from'] = _from_angle - _angle_range['to'] = _to_angle + _angle_range["from"] = _from_angle + _angle_range["to"] = _to_angle self.angle_range = _angle_range def cancel_clicked(self): diff --git a/notebooks/__code/registration/__init__.py b/notebooks/__code/registration/__init__.py index 879e3e3a..f8e980c1 100755 --- a/notebooks/__code/registration/__init__.py +++ b/notebooks/__code/registration/__init__.py @@ -1,4 +1,3 @@ - interact_me_style = "background-color: lime" error_style = "background-color: red" normal_style = "" diff --git a/notebooks/__code/registration/calculate.py b/notebooks/__code/registration/calculate.py index 20f29775..0f9b37d4 100755 --- a/notebooks/__code/registration/calculate.py +++ b/notebooks/__code/registration/calculate.py @@ -2,7 +2,6 @@ class Calculate: - def __init__(self, parent=None): self.parent = parent @@ -20,34 +19,34 @@ def calculate_matrix_grid(grid_size=1, height=1, width=1): # vertical lines x = 0 index = 0 - while (x <= width): + while x <= width: one_edge = [x, 0] other_edge = [x, height] pos.append(one_edge) pos.append(other_edge) - adj.append([index, index+1]) + adj.append([index, index + 1]) x += grid_size index += 2 # vertical lines y = 0 - while (y <= height): + while y <= height: one_edge = [0, y] other_edge = [width, y] pos.append(one_edge) pos.append(other_edge) - adj.append([index, index+1]) + adj.append([index, index + 1]) y += grid_size index += 2 - pos_adj_dict['pos'] = np.array(pos) - pos_adj_dict['adj'] = np.array(adj) + pos_adj_dict["pos"] = np.array(pos) + pos_adj_dict["adj"] = np.array(adj) return pos_adj_dict @staticmethod def intermediates_points(p1, p2): - """"Return a list of nb_points equally spaced points + """ "Return a list of nb_points equally spaced points between p1 and p2 p1 = [x0, y0] @@ -60,8 +59,7 @@ def intermediates_points(p1, p2): x_spacing = (p2[0] - p1[0]) / (nb_points + 1) y_spacing = (p2[1] - p1[1]) / (nb_points + 1) - full_array = [[int(p1[0] + i * x_spacing), int(p1[1] + i * y_spacing)] - for i in range(1, nb_points + 1)] + full_array = [[int(p1[0] + i * x_spacing), int(p1[1] + i * y_spacing)] for i in range(1, nb_points + 1)] clean_array = [] for _points in full_array: diff --git a/notebooks/__code/registration/calculate_profiles_difference.py b/notebooks/__code/registration/calculate_profiles_difference.py index 97d4cef2..61de2239 100755 --- a/notebooks/__code/registration/calculate_profiles_difference.py +++ b/notebooks/__code/registration/calculate_profiles_difference.py @@ -4,7 +4,6 @@ class CalculateProfilesDifference: - # {'horizontal': {'profiles': {'0': {'xaxis': None, 'profile': None}, # '1': {'xaxis': None, 'profile': None}, # ..., }, @@ -32,29 +31,27 @@ def __init__(self, parent=None): self.roi = self.parent.roi def run(self): - # horizontal - reference_profile = self.roi['horizontal']['profiles']['0']['profile'] + reference_profile = self.roi["horizontal"]["profiles"]["0"]["profile"] - self.parent.offset['horizontal'] = [] - for _key in self.roi['horizontal']['profiles'].keys(): - - _profile = self.roi['horizontal']['profiles'][_key]['profile'] - offset_found = CalculateProfilesDifference.calculate_pixel_offset(profile_reference=reference_profile, - working_profile=_profile, - max_pixel_range=MAX_PIXEL_RANGE) - self.parent.offset['horizontal'].append(-offset_found) + self.parent.offset["horizontal"] = [] + for _key in self.roi["horizontal"]["profiles"].keys(): + _profile = self.roi["horizontal"]["profiles"][_key]["profile"] + offset_found = CalculateProfilesDifference.calculate_pixel_offset( + profile_reference=reference_profile, working_profile=_profile, max_pixel_range=MAX_PIXEL_RANGE + ) + self.parent.offset["horizontal"].append(-offset_found) # vertical - reference_profile = self.roi['vertical']['profiles']['0']['profile'] - - self.parent.offset['vertical'] = [] - for _key in self.roi['vertical']['profiles'].keys(): - _profile = self.roi['vertical']['profiles'][_key]['profile'] - offset_found = CalculateProfilesDifference.calculate_pixel_offset(profile_reference=reference_profile, - working_profile=_profile, - max_pixel_range=MAX_PIXEL_RANGE) - self.parent.offset['vertical'].append(-offset_found) + reference_profile = self.roi["vertical"]["profiles"]["0"]["profile"] + + self.parent.offset["vertical"] = [] + for _key in self.roi["vertical"]["profiles"].keys(): + _profile = self.roi["vertical"]["profiles"][_key]["profile"] + offset_found = CalculateProfilesDifference.calculate_pixel_offset( + profile_reference=reference_profile, working_profile=_profile, max_pixel_range=MAX_PIXEL_RANGE + ) + self.parent.offset["vertical"].append(-offset_found) @staticmethod def sum_abs_diff(profile_a, profile_b): diff --git a/notebooks/__code/registration/check.py b/notebooks/__code/registration/check.py index e808f20f..25d9f137 100755 --- a/notebooks/__code/registration/check.py +++ b/notebooks/__code/registration/check.py @@ -2,7 +2,6 @@ class Check: - def __init__(self, parent=None): self.parent = parent @@ -36,17 +35,18 @@ def selection_slider_status(self): """ selection = self.parent.ui.tableWidget.selectedRanges() if selection: - - list_file_index_widgets = [self.parent.ui.previous_image_button, - self.parent.ui.file_slider, - self.parent.ui.next_image_button] + list_file_index_widgets = [ + self.parent.ui.previous_image_button, + self.parent.ui.file_slider, + self.parent.ui.next_image_button, + ] top_row = selection[0].topRow() bottom_row = selection[0].bottomRow() if np.abs(bottom_row - top_row) >= 1: # show selection images widgets self.parent.ui.selection_groupBox.setVisible(True) - self.parent.ui.top_row_label.setText("Row {}".format(top_row + 1)) - self.parent.ui.bottom_row_label.setText("Row {}".format(bottom_row + 1)) + self.parent.ui.top_row_label.setText(f"Row {top_row + 1}") + self.parent.ui.bottom_row_label.setText(f"Row {bottom_row + 1}") self.parent.ui.opacity_selection_slider.setMinimum(top_row * 100) self.parent.ui.opacity_selection_slider.setMaximum(bottom_row * 100) self.parent.ui.opacity_selection_slider.setSliderPosition(top_row * 100) diff --git a/notebooks/__code/registration/display.py b/notebooks/__code/registration/display.py index 016041e7..d56bf215 100755 --- a/notebooks/__code/registration/display.py +++ b/notebooks/__code/registration/display.py @@ -6,12 +6,10 @@ class Display: - def __init__(self, parent=None): self.parent = parent def image(self): - o_get = Get(parent=self.parent) # if more than one row selected ! @@ -20,7 +18,6 @@ def image(self): if self.parent.ui.selection_all.isChecked(): _image = o_get.image_selected() else: # display selected images according to slider position - # retrieve slider infos slider_index = self.parent.ui.opacity_selection_slider.sliderPosition() / 100 @@ -28,11 +25,11 @@ def image(self): to_index = int(slider_index + 1) if from_index == slider_index: - _image = self.parent.data_dict['data'][from_index] + _image = self.parent.data_dict["data"][from_index] else: - _from_image = self.parent.data_dict['data'][from_index] + _from_image = self.parent.data_dict["data"][from_index] - _to_image = self.parent.data_dict['data'][to_index] + _to_image = self.parent.data_dict["data"][to_index] _from_coefficient = np.abs(to_index - slider_index) _to_coefficient = np.abs(slider_index - from_index) @@ -58,7 +55,7 @@ def image(self): self.parent.histogram_level = _histo_widget.getLevels() _opacity_coefficient = self.parent.ui.opacity_slider.value() # betwween 0 and 100 - _opacity_image = _opacity_coefficient / 100. + _opacity_image = _opacity_coefficient / 100.0 _image = np.transpose(_image) * _opacity_image _opacity_selected = 1 - _opacity_image @@ -70,11 +67,9 @@ def image(self): _view_box.setState(_state) if not first_update: - _histo_widget.setLevels(self.parent.histogram_level[0], - self.parent.histogram_level[1]) + _histo_widget.setLevels(self.parent.histogram_level[0], self.parent.histogram_level[1]) def display_only_reference_image(self): - self.parent.ui.selection_reference_opacity_groupBox.setVisible(False) _view = self.parent.ui.image_view.getView() @@ -113,12 +108,11 @@ def live_image(self): _view_box.setState(_state) if not first_update: - _histo_widget.setLevels(self.parent.histogram_level[0], - self.parent.histogram_level[1]) + _histo_widget.setLevels(self.parent.histogram_level[0], self.parent.histogram_level[1]) # we do not want a grid on top - if self.parent.grid_view['item']: - self.parent.ui.image_view.removeItem(self.parent.grid_view['item']) + if self.parent.grid_view["item"]: + self.parent.ui.image_view.removeItem(self.parent.grid_view["item"]) if not self.parent.ui.grid_display_checkBox.isChecked(): return @@ -126,23 +120,17 @@ def live_image(self): grid_size = self.parent.ui.grid_size_slider.value() [width, height] = np.shape(live_image) - pos_adj_dict = Calculate.calculate_matrix_grid(grid_size=grid_size, - height=height, - width=width) - pos = pos_adj_dict['pos'] - adj = pos_adj_dict['adj'] + pos_adj_dict = Calculate.calculate_matrix_grid(grid_size=grid_size, height=height, width=width) + pos = pos_adj_dict["pos"] + adj = pos_adj_dict["adj"] - line_color = self.parent.grid_view['color'] - lines = np.array([line_color for n in np.arange(len(pos))], - dtype=[('red', np.ubyte), ('green', np.ubyte), - ('blue', np.ubyte), ('alpha', np.ubyte), - ('width', float)]) + line_color = self.parent.grid_view["color"] + lines = np.array( + [line_color for n in np.arange(len(pos))], + dtype=[("red", np.ubyte), ("green", np.ubyte), ("blue", np.ubyte), ("alpha", np.ubyte), ("width", float)], + ) grid = pg.GraphItem() self.parent.ui.image_view.addItem(grid) - grid.setData(pos=pos, - adj=adj, - pen=lines, - symbol=None, - pxMode=False) - self.parent.grid_view['item'] = grid + grid.setData(pos=pos, adj=adj, pen=lines, symbol=None, pxMode=False) + self.parent.grid_view["item"] = grid diff --git a/notebooks/__code/registration/event_handler.py b/notebooks/__code/registration/event_handler.py index 7740b5ac..db2ff873 100755 --- a/notebooks/__code/registration/event_handler.py +++ b/notebooks/__code/registration/event_handler.py @@ -1,22 +1,21 @@ -from qtpy.QtWidgets import QMenu -from qtpy import QtGui -import numpy as np import os -from skimage import transform + +import numpy as np +from qtpy import QtGui +from qtpy.QtWidgets import QMenu from scipy.ndimage.interpolation import shift +from skimage import transform -from __code._utilities.table_handler import TableHandler from __code._utilities.check import is_float +from __code._utilities.table_handler import TableHandler from __code.registration.calculate import Calculate class EventHandler: - def __init__(self, parent=None): self.parent = parent def table_right_click(self): - top_menu = QMenu(self.parent) state_of_paste = True @@ -54,8 +53,7 @@ def copy_yoffset_value(self): def get_value_to_copy(self, column=1): o_table = TableHandler(self.parent.ui.tableWidget) row_selected = o_table.get_row_selected() - value_to_copy = o_table.get_item_str_from_cell(row=row_selected, - column=column) + value_to_copy = o_table.get_item_str_from_cell(row=row_selected, column=column) return value_to_copy def paste_xoffset_value(self): @@ -70,36 +68,33 @@ def paste_value_copied(self, column=1): self.parent.ui.tableWidget.blockSignals(True) for _row in row_selected: - o_table.set_item_with_str(row=_row, - column=column, - cell_str=self.parent.value_to_copy) + o_table.set_item_with_str(row=_row, column=column, cell_str=self.parent.value_to_copy) self.parent.ui.tableWidget.blockSignals(False) def update_table_according_to_filter(self): filter_flag = self.parent.ui.filter_checkBox.isChecked() - + o_table = TableHandler(table_ui=self.parent.ui.tableWidget) - + def should_row_be_visible(row_value=None, filter_algo_selected="<=", filter_value=None): - if is_float(filter_value): o_table.set_all_row_hidden(False) return - + if filter_algo_selected == "<=": return float(row_value) <= float(filter_value) elif filter_algo_selected == ">=": return float(row_value) >= float(filter_value) else: raise NotImplementedError("algo not implemented!") - + if filter_flag: # select only rows according to filter filter_column_selected = self.parent.ui.filter_column_name_comboBox.currentText() filter_algo_selected = self.parent.ui.filter_logic_comboBox.currentText() filter_value = self.parent.ui.filter_value.text() - + if filter_column_selected == "Xoffset": filter_column_index = 1 elif filter_column_selected == "Yoffset": @@ -108,13 +103,13 @@ def should_row_be_visible(row_value=None, filter_algo_selected="<=", filter_valu filter_column_index = 3 else: raise NotImplementedError("column can not be used with filter!") - + nbr_row = o_table.row_count() for _row in np.arange(nbr_row): _row_value = float(o_table.get_item_str_from_cell(row=_row, column=filter_column_index)) - _should_row_be_visible = should_row_be_visible(row_value=_row_value, - filter_algo_selected=filter_algo_selected, - filter_value=filter_value) + _should_row_be_visible = should_row_be_visible( + row_value=_row_value, filter_algo_selected=filter_algo_selected, filter_value=filter_value + ) o_table.set_row_hidden(_row, not _should_row_be_visible) else: # all rows are visible @@ -149,8 +144,7 @@ def profile_line_moved(self): self.parent.legend = self.parent.ui.profile.addLegend() - region = self.parent.ui.profile_line.getArraySlice(self.parent.live_image, - self.parent.ui.image_view.imageItem) + region = self.parent.ui.profile_line.getArraySlice(self.parent.live_image, self.parent.ui.image_view.imageItem) x0 = region[0][0].start + 3 x1 = region[0][0].stop - 3 @@ -166,7 +160,6 @@ def profile_line_moved(self): # profiles selected # if only one row selected ! if self.parent.ui.selection_groupBox.isVisible(): - if self.parent.ui.selection_all.isChecked(): min_row = int(self.parent.ui.opacity_selection_slider.minimum() / 100) max_row = int(self.parent.ui.opacity_selection_slider.maximum() / 100) @@ -175,53 +168,48 @@ def profile_line_moved(self): if _index == self.parent.reference_image_index: continue - _data = np.transpose(self.parent.data_dict['data'][_index]) - _filename = os.path.basename(self.parent.data_dict['file_name'][_index]) + _data = np.transpose(self.parent.data_dict["data"][_index]) + _filename = os.path.basename(self.parent.data_dict["file_name"][_index]) _profile = [_data[_point[0], _point[1]] for _point in intermediate_points] - self.parent.ui.profile.plot(xaxis, _profile, - name=_filename, - pen=self.parent.list_rgb_profile_color[_index]) + self.parent.ui.profile.plot( + xaxis, _profile, name=_filename, pen=self.parent.list_rgb_profile_color[_index] + ) else: # selection slider slider_index = self.parent.ui.opacity_selection_slider.sliderPosition() / 100 from_index = int(slider_index) - _data = np.transpose(self.parent.data_dict['data'][from_index]) - _filename = os.path.basename(self.parent.data_dict['file_name'][from_index]) + _data = np.transpose(self.parent.data_dict["data"][from_index]) + _filename = os.path.basename(self.parent.data_dict["file_name"][from_index]) _profile = [_data[_point[0], _point[1]] for _point in intermediate_points] - self.parent.ui.profile.plot(xaxis, - _profile, - name=_filename, - pen=self.parent.list_rgb_profile_color[from_index]) + self.parent.ui.profile.plot( + xaxis, _profile, name=_filename, pen=self.parent.list_rgb_profile_color[from_index] + ) if from_index == slider_index: pass else: to_index = int(slider_index + 1) - _data = np.transpose(self.parent.data_dict['data'][to_index]) - _filename = os.path.basename(self.parent.data_dict['file_name'][to_index]) + _data = np.transpose(self.parent.data_dict["data"][to_index]) + _filename = os.path.basename(self.parent.data_dict["file_name"][to_index]) _profile = [_data[_point[0], _point[1]] for _point in intermediate_points] - self.parent.ui.profile.plot(xaxis, - _profile, - name=_filename, - pen=self.parent.list_rgb_profile_color[to_index]) + self.parent.ui.profile.plot( + xaxis, _profile, name=_filename, pen=self.parent.list_rgb_profile_color[to_index] + ) else: - table_selection = self.parent.ui.tableWidget.selectedRanges() - if not (table_selection is None): - + if table_selection is not None: table_selection = table_selection[0] row_selected = table_selection.topRow() if not row_selected == self.parent.reference_image_index: - _data = np.transpose(self.parent.data_dict['data'][row_selected]) - _filename = os.path.basename(self.parent.data_dict['file_name'][row_selected]) + _data = np.transpose(self.parent.data_dict["data"][row_selected]) + _filename = os.path.basename(self.parent.data_dict["file_name"][row_selected]) _profile = [_data[_point[0], _point[1]] for _point in intermediate_points] - self.parent.ui.profile.plot(xaxis, - _profile, - name=_filename, - pen=self.parent.list_rgb_profile_color[row_selected]) + self.parent.ui.profile.plot( + xaxis, _profile, name=_filename, pen=self.parent.list_rgb_profile_color[row_selected] + ) # selected_image = self.parent.live_image # profile_selected = [selected_image[_point[0], @@ -231,19 +219,18 @@ def profile_line_moved(self): # Always display profile reference reference_image = np.transpose(self.parent.reference_image) - profile_reference = [reference_image[_point[0], - _point[1]] for _point in intermediate_points] + profile_reference = [reference_image[_point[0], _point[1]] for _point in intermediate_points] - reference_file_name = os.path.basename(self.parent.data_dict['file_name'][self.parent.reference_image_index]) - self.parent.ui.profile.plot(xaxis, profile_reference, - pen=self.parent.color_reference_profile, - name='Ref.: {}'.format(reference_file_name)) + reference_file_name = os.path.basename(self.parent.data_dict["file_name"][self.parent.reference_image_index]) + self.parent.ui.profile.plot( + xaxis, profile_reference, pen=self.parent.color_reference_profile, name=f"Ref.: {reference_file_name}" + ) def modified_images(self, list_row=[], all_row=False): """using data_dict_raw images, will apply offset and rotation parameters and will save them in data_dict for plotting""" - data_raw = self.parent.data_dict_raw['data'].copy() + data_raw = self.parent.data_dict_raw["data"].copy() if all_row: list_row = np.arange(0, self.parent.nbr_files) @@ -251,7 +238,6 @@ def modified_images(self, list_row=[], all_row=False): list_row = list_row for _row in list_row: - try: xoffset = int(float(self.parent.ui.tableWidget.item(_row, 1).text())) yoffset = int(float(self.parent.ui.tableWidget.item(_row, 2).text())) @@ -261,6 +247,9 @@ def modified_images(self, list_row=[], all_row=False): _data = data_raw[_row].copy() _data = transform.rotate(_data, rotate_angle) - _data = shift(_data, (yoffset, xoffset), ) + _data = shift( + _data, + (yoffset, xoffset), + ) - self.parent.data_dict['data'][_row] = _data + self.parent.data_dict["data"][_row] = _data diff --git a/notebooks/__code/registration/export.py b/notebooks/__code/registration/export.py index e9a89bfa..996f74b9 100755 --- a/notebooks/__code/registration/export.py +++ b/notebooks/__code/registration/export.py @@ -1,28 +1,25 @@ -import numpy as np import copy -from skimage import transform -from scipy.ndimage.interpolation import shift import os -from qtpy.QtWidgets import QFileDialog, QApplication +import numpy as np from NeuNorm.normalization import Normalization +from qtpy.QtWidgets import QApplication, QFileDialog +from scipy.ndimage.interpolation import shift +from skimage import transform from __code._utilities.file import make_or_increment_folder_name class Export: - def __init__(self, parent=None): self.parent = parent self.working_dir = self.parent.working_dir def run(self): - _export_folder = QFileDialog.getExistingDirectory(self.parent, - directory=self.working_dir, - caption="Select Output Folder", - options=QFileDialog.ShowDirsOnly) + _export_folder = QFileDialog.getExistingDirectory( + self.parent, directory=self.working_dir, caption="Select Output Folder", options=QFileDialog.ShowDirsOnly + ) if _export_folder: - # add custom folder name working_dir_basename = os.path.basename(self.working_dir) # append "registered" and "time_stamp" @@ -34,52 +31,47 @@ def run(self): class ExportRegistration: - - def __init__(self, parent=None, export_folder=''): + def __init__(self, parent=None, export_folder=""): self.parent = parent self.export_folder = export_folder def run(self): data_dict_raw = copy.deepcopy(self.parent.data_dict_raw) - list_file_names = data_dict_raw['file_name'] - nbr_files = len(data_dict_raw['data']) + list_file_names = data_dict_raw["file_name"] + nbr_files = len(data_dict_raw["data"]) self.parent.eventProgress.setMaximum(nbr_files) self.parent.eventProgress.setValue(0) self.parent.eventProgress.setVisible(True) - for _row, _data in enumerate(data_dict_raw['data']): + for _row, _data in enumerate(data_dict_raw["data"]): _filename = list_file_names[_row] if not _row == self.parent.reference_image_index: - _xoffset = int(np.floor(float(self.parent.ui.tableWidget.item(_row, 1).text()))) _yoffset = int(np.floor(float(self.parent.ui.tableWidget.item(_row, 2).text()))) _rotation = float(self.parent.ui.tableWidget.item(_row, 3).text()) - _data_registered = self.registered_data(raw_data=_data, - xoffset=_xoffset, - yoffset=_yoffset, - rotation=_rotation) + _data_registered = self.registered_data( + raw_data=_data, xoffset=_xoffset, yoffset=_yoffset, rotation=_rotation + ) else: - _data_registered = _data o_norm = Normalization() o_norm.load(data=_data_registered) # o_norm.data['sample']['metadata'] = [data_dict_raw['metadata'][_row]] - o_norm.data['sample']['file_name'][0] = _filename + o_norm.data["sample"]["file_name"][0] = _filename # pprint.pprint(o_norm.data['sample']) # self.parent.testing_o_norm = o_norm - o_norm.export(folder=self.export_folder, data_type='sample') + o_norm.export(folder=self.export_folder, data_type="sample") - self.parent.eventProgress.setValue(_row+1) + self.parent.eventProgress.setValue(_row + 1) QApplication.processEvents() self.parent.eventProgress.setVisible(False) def registered_data(self, raw_data=[], xoffset=0, yoffset=0, rotation=0): - _data = raw_data.copy() _data = transform.rotate(_data, rotation) _data = shift(_data, (yoffset, xoffset)) diff --git a/notebooks/__code/registration/file_selection.py b/notebooks/__code/registration/file_selection.py index 6dfc7a74..2145a3ec 100755 --- a/notebooks/__code/registration/file_selection.py +++ b/notebooks/__code/registration/file_selection.py @@ -1,14 +1,14 @@ import webbrowser -from ipywidgets import widgets -from IPython.display import display -from __code.ipywe import fileselector +from IPython.display import display +from ipywidgets import widgets from NeuNorm.normalization import Normalization +from __code.ipywe import fileselector + class FileSelection: - - def __init__(self, working_dir='./'): + def __init__(self, working_dir="./"): self.working_dir = working_dir def select_file_help(self, value): @@ -21,15 +21,13 @@ def load_files(self, files): self.data_dict = o_norm.data def select_data(self): - help_ui = widgets.Button(description="HELP", - button_style='info') + help_ui = widgets.Button(description="HELP", button_style="info") help_ui.on_click(self.select_file_help) display(help_ui) - self.files_ui = fileselector.FileSelectorPanel(instruction='Select Images ...', - start_dir=self.working_dir, - next=self.load_files, - multiple=True) + self.files_ui = fileselector.FileSelectorPanel( + instruction="Select Images ...", start_dir=self.working_dir, next=self.load_files, multiple=True + ) self.files_ui.show() diff --git a/notebooks/__code/registration/get.py b/notebooks/__code/registration/get.py index 6b2cfd74..a31394dd 100755 --- a/notebooks/__code/registration/get.py +++ b/notebooks/__code/registration/get.py @@ -1,9 +1,9 @@ -import numpy as np import os +import numpy as np + class Get: - def __init__(self, parent=None): self.parent = parent @@ -12,10 +12,9 @@ def list_short_file_selected(self): def get_list_short_file_selected(self): list_row_selected = self.list_row_selected() - full_list_files = np.array(self.parent.data_dict['file_name']) + full_list_files = np.array(self.parent.data_dict["file_name"]) list_file_selected = full_list_files[list_row_selected] - list_short_file_selected = [os.path.basename(_file) for _file in - list_file_selected] + list_short_file_selected = [os.path.basename(_file) for _file in list_file_selected] return list_short_file_selected def list_row_selected(self): @@ -44,5 +43,5 @@ def image_selected(self): top_row = table_selection.topRow() # offset because first image is reference image bottom_row = table_selection.bottomRow() + 1 - _image = np.mean(self.parent.data_dict['data'][top_row:bottom_row], axis=0) + _image = np.mean(self.parent.data_dict["data"][top_row:bottom_row], axis=0) return _image diff --git a/notebooks/__code/registration/initialization.py b/notebooks/__code/registration/initialization.py index 43e98723..d15c876c 100755 --- a/notebooks/__code/registration/initialization.py +++ b/notebooks/__code/registration/initialization.py @@ -1,14 +1,12 @@ import pyqtgraph as pg from pyqtgraph.dockarea import * -from qtpy.QtWidgets import QVBoxLayout, QProgressBar +from qtpy.QtWidgets import QProgressBar, QVBoxLayout -from __code.icons import icons_rc # do not remove from __code._utilities.color import Color from __code.registration.marker_default_settings import MarkerDefaultSettings class Initialization: - def __init__(self, parent=None): self.parent = parent @@ -41,21 +39,21 @@ def pyqtgrpah(self): d1 = Dock("Registered Image", size=(400, 600)) d2 = Dock("Profile", size=(400, 200)) - area.addDock(d1, 'top') - area.addDock(d2, 'bottom') + area.addDock(d1, "top") + area.addDock(d2, "bottom") # registered image self.parent.ui.image_view = pg.ImageView(view=pg.PlotItem()) self.parent.ui.image_view.ui.menuBtn.hide() self.parent.ui.image_view.ui.roiBtn.hide() # profile selection tool - self.parent.ui.profile_line = pg.LineSegmentROI([[50, 50], [100, 100]], pen='r') + self.parent.ui.profile_line = pg.LineSegmentROI([[50, 50], [100, 100]], pen="r") self.parent.ui.image_view.addItem(self.parent.ui.profile_line) d1.addWidget(self.parent.ui.image_view) self.parent.ui.profile_line.sigRegionChanged.connect(self.parent.profile_line_moved) # profile - self.parent.ui.profile = pg.PlotWidget(title='Profile') + self.parent.ui.profile = pg.PlotWidget(title="Profile") self.parent.ui.profile.plot() self.parent.legend = self.parent.ui.profile.addLegend() d2.addWidget(self.parent.ui.profile) @@ -76,12 +74,12 @@ def widgets(self): self.parent.ui.tableWidget.setColumnWidth(_col, self.parent.table_column_width[_col]) # update slide widget of files - nbr_files = len(self.parent.data_dict['file_name']) + nbr_files = len(self.parent.data_dict["file_name"]) self.parent.ui.file_slider.setMinimum(0) - self.parent.ui.file_slider.setMaximum(nbr_files-1) + self.parent.ui.file_slider.setMaximum(nbr_files - 1) # selected image - reference_image = self.parent.data_dict['file_name'][0] + reference_image = self.parent.data_dict["file_name"][0] self.parent.ui.reference_image_label.setText(reference_image) # selection slider @@ -89,23 +87,24 @@ def widgets(self): self.parent.ui.next_image_button.setEnabled(True) # selected vs reference slider - self.parent.ui.selection_reference_opacity_groupBox.setVisible(False) # because by default first row = reference selected + self.parent.ui.selection_reference_opacity_groupBox.setVisible( + False + ) # because by default first row = reference selected def table(self): """populate the table with list of file names and default xoffset, yoffset and rotation""" - list_file_names = self.parent.data_dict['file_name'] + list_file_names = self.parent.data_dict["file_name"] table_registration = {} _row_index = 0 for _file_index, _file in enumerate(list_file_names): - _row_infos = {} # col 0 - file name - _row_infos['filename'] = _file - _row_infos['xoffset'] = 0 - _row_infos['yoffset'] = 0 - _row_infos['rotation'] = 0 + _row_infos["filename"] = _file + _row_infos["xoffset"] = 0 + _row_infos["yoffset"] = 0 + _row_infos["rotation"] = 0 table_registration[_row_index] = _row_infos _row_index += 1 @@ -113,7 +112,7 @@ def table(self): self.parent.table_registration = table_registration self.parent.populate_table() - #select first row + # select first row self.parent.select_row_in_table(0) def statusbar(self): @@ -124,10 +123,10 @@ def statusbar(self): self.parent.ui.statusbar.addPermanentWidget(self.parent.eventProgress) def parameters(self): - nbr_files = len(self.parent.data_dict['file_name']) + nbr_files = len(self.parent.data_dict["file_name"]) self.parent.nbr_files = nbr_files _color = Color() self.parent.list_rgb_profile_color = _color.get_list_rgb(nbr_color=nbr_files) o_marker = MarkerDefaultSettings(image_reference=self.parent.reference_image) - self.parent.o_MarkerDefaultSettings = o_marker \ No newline at end of file + self.parent.o_MarkerDefaultSettings = o_marker diff --git a/notebooks/__code/registration/manual.py b/notebooks/__code/registration/manual.py index 8e452b81..6a44120a 100755 --- a/notebooks/__code/registration/manual.py +++ b/notebooks/__code/registration/manual.py @@ -1,8 +1,9 @@ -from qtpy.QtWidgets import QMainWindow -from qtpy.QtGui import QIcon -from qtpy import QtCore import os +from qtpy import QtCore +from qtpy.QtGui import QIcon +from qtpy.QtWidgets import QMainWindow + from __code import load_ui from __code.registration.get import Get @@ -24,24 +25,21 @@ def __init__(self, parent=None): class Manual(QMainWindow): parent = None - button_size = {'arrow' : {'width' : 100, - 'height': 100}, - 'rotate' : {'width' : 100, - 'height': 200}, - 'small_rotate': {'width' : 50, - 'height': 100}, - } + button_size = { + "arrow": {"width": 100, "height": 100}, + "rotate": {"width": 100, "height": 200}, + "small_rotate": {"width": 50, "height": 100}, + } list_arrow_widgets = [] list_rotate_widgets = [] def __init__(self, parent=None): - super(QMainWindow, self).__init__(parent) - ui_full_path = os.path.join(os.path.dirname(os.path.dirname(os.path.dirname(__file__))), - os.path.join('ui', - 'ui_registration_tool.ui')) + ui_full_path = os.path.join( + os.path.dirname(os.path.dirname(os.path.dirname(__file__))), os.path.join("ui", "ui_registration_tool.ui") + ) self.ui = load_ui(ui_full_path, baseinstance=self) self.parent = parent self.setWindowTitle("Registration Tool") @@ -50,49 +48,50 @@ def __init__(self, parent=None): def initialize_widgets(self): _file_path = os.path.dirname(__file__) - up_arrow_file = os.path.abspath(os.path.join(_file_path, '../static/up_arrow.png')) + up_arrow_file = os.path.abspath(os.path.join(_file_path, "../static/up_arrow.png")) self.ui.up_button.setIcon(QIcon(up_arrow_file)) - down_arrow_file = os.path.abspath(os.path.join(_file_path, '../static/down_arrow.png')) + down_arrow_file = os.path.abspath(os.path.join(_file_path, "../static/down_arrow.png")) self.ui.down_button.setIcon(QIcon(down_arrow_file)) - right_arrow_file = os.path.abspath(os.path.join(_file_path, '../static/right_arrow.png')) + right_arrow_file = os.path.abspath(os.path.join(_file_path, "../static/right_arrow.png")) self.ui.right_button.setIcon(QIcon(right_arrow_file)) - left_arrow_file = os.path.abspath(os.path.join(_file_path, '../static/left_arrow.png')) + left_arrow_file = os.path.abspath(os.path.join(_file_path, "../static/left_arrow.png")) self.ui.left_button.setIcon(QIcon(left_arrow_file)) - rotate_left_file = os.path.abspath(os.path.join(_file_path, '../static/rotate_left.png')) + rotate_left_file = os.path.abspath(os.path.join(_file_path, "../static/rotate_left.png")) self.ui.rotate_left_button.setIcon(QIcon(rotate_left_file)) - rotate_right_file = os.path.abspath(os.path.join(_file_path, '../static/rotate_right.png')) + rotate_right_file = os.path.abspath(os.path.join(_file_path, "../static/rotate_right.png")) self.ui.rotate_right_button.setIcon(QIcon(rotate_right_file)) - small_rotate_left_file = os.path.abspath(os.path.join(_file_path, '../static/small_rotate_left.png')) + small_rotate_left_file = os.path.abspath(os.path.join(_file_path, "../static/small_rotate_left.png")) self.ui.small_rotate_left_button.setIcon(QIcon(small_rotate_left_file)) - small_rotate_right_file = os.path.abspath(os.path.join(_file_path, '../static/small_rotate_right.png')) + small_rotate_right_file = os.path.abspath(os.path.join(_file_path, "../static/small_rotate_right.png")) self.ui.small_rotate_right_button.setIcon(QIcon(small_rotate_right_file)) - self.list_arrow_widgets = [self.ui.up_button, - self.ui.down_button, - self.ui.left_button, - self.ui.right_button] - self._set_widgets_size(widgets=self.list_arrow_widgets, - width=self.button_size['arrow']['width'], - height=self.button_size['arrow']['height']) - - self.list_rotate_widgets = [self.ui.rotate_left_button, - self.ui.rotate_right_button] - self._set_widgets_size(widgets=self.list_rotate_widgets, - width=self.button_size['rotate']['width'], - height=self.button_size['rotate']['height']) - - self.list_small_rotate_widgets = [self.ui.small_rotate_left_button, - self.ui.small_rotate_right_button] - self._set_widgets_size(widgets=self.list_small_rotate_widgets, - width=self.button_size['small_rotate']['width'], - height=self.button_size['small_rotate']['height']) + self.list_arrow_widgets = [self.ui.up_button, self.ui.down_button, self.ui.left_button, self.ui.right_button] + self._set_widgets_size( + widgets=self.list_arrow_widgets, + width=self.button_size["arrow"]["width"], + height=self.button_size["arrow"]["height"], + ) + + self.list_rotate_widgets = [self.ui.rotate_left_button, self.ui.rotate_right_button] + self._set_widgets_size( + widgets=self.list_rotate_widgets, + width=self.button_size["rotate"]["width"], + height=self.button_size["rotate"]["height"], + ) + + self.list_small_rotate_widgets = [self.ui.small_rotate_left_button, self.ui.small_rotate_right_button] + self._set_widgets_size( + widgets=self.list_small_rotate_widgets, + width=self.button_size["small_rotate"]["width"], + height=self.button_size["small_rotate"]["height"], + ) def _set_widgets_size(self, widgets=[], width=10, height=10): for _widget in widgets: @@ -121,32 +120,33 @@ def update_status_widgets(self): _widget.setEnabled(_enabled) def closeEvent(self, c): - self.parent.set_widget_status(list_ui=[self.parent.ui.auto_registration_button, - self.parent.ui.marker_registration_button, - self.parent.ui.profiler_registration_button], - enabled=True) + self.parent.set_widget_status( + list_ui=[ + self.parent.ui.auto_registration_button, + self.parent.ui.marker_registration_button, + self.parent.ui.profiler_registration_button, + ], + enabled=True, + ) self.parent.registration_tool_ui = None - def modified_selected_images(self, motion=None, rotation=0.): + def modified_selected_images(self, motion=None, rotation=0.0): # retrieve row selected and changed values self.parent.ui.tableWidget.blockSignals(True) o_get = Get(parent=self.parent) list_row_selected = o_get.list_row_selected() for _row in list_row_selected: - # we never modified the reference image if _row == self.parent.reference_image_index: continue if motion: - # left and right - > we works with xoffset, column 1 - if motion in ['left', 'right']: - + if motion in ["left", "right"]: _old_value = float(self.parent.ui.tableWidget.item(_row, 1).text()) - if motion == 'left': + if motion == "left": xoffset = -1 else: xoffset = 1 @@ -155,10 +155,9 @@ def modified_selected_images(self, motion=None, rotation=0.): self.parent.ui.tableWidget.item(_row, 1).setText(str(_new_value)) else: # up and down -> yoffset, column 2 - _old_value = float(self.parent.ui.tableWidget.item(_row, 2).text()) - if motion == 'up': + if motion == "up": yoffset = -1 else: yoffset = 1 @@ -167,32 +166,31 @@ def modified_selected_images(self, motion=None, rotation=0.): self.parent.ui.tableWidget.item(_row, 2).setText(str(_new_value)) if not rotation == 0: # column 3 - _old_value = float(self.parent.ui.tableWidget.item(_row, 3).text()) _new_value = _old_value + rotation - self.parent.ui.tableWidget.item(_row, 3).setText("{:.2f}".format(_new_value)) + self.parent.ui.tableWidget.item(_row, 3).setText(f"{_new_value:.2f}") self.parent.ui.tableWidget.blockSignals(False) self.parent.table_cell_modified(-1, -1) # event handler def left_button_clicked(self): - self.modified_selected_images(motion='left') + self.modified_selected_images(motion="left") def right_button_clicked(self): - self.modified_selected_images(motion='right') + self.modified_selected_images(motion="right") def up_button_clicked(self): - self.modified_selected_images(motion='up') + self.modified_selected_images(motion="up") def down_button_clicked(self): - self.modified_selected_images(motion='down') + self.modified_selected_images(motion="down") def small_rotate_left_button_clicked(self): - self.modified_selected_images(rotation=.1) + self.modified_selected_images(rotation=0.1) def small_rotate_right_button_clicked(self): - self.modified_selected_images(rotation=-.1) + self.modified_selected_images(rotation=-0.1) def rotate_left_button_clicked(self): self.modified_selected_images(rotation=1) diff --git a/notebooks/__code/registration/marker_default_settings.py b/notebooks/__code/registration/marker_default_settings.py index 75179466..80d821f1 100755 --- a/notebooks/__code/registration/marker_default_settings.py +++ b/notebooks/__code/registration/marker_default_settings.py @@ -9,27 +9,28 @@ class MarkerDefaultSettings: width = 50 height = 50 - color = {'white' : pg.mkPen('w', width=2), - 'yellow': pg.mkPen('y', width=2), - 'green' : pg.mkPen('g', width=2), - 'red' : pg.mkPen('r', width=2), - 'blue' : pg.mkPen('b', width=2), - 'cyan' : pg.mkPen('c', width=2), - 'black' : pg.mkPen('k', width=2), - } + color = { + "white": pg.mkPen("w", width=2), + "yellow": pg.mkPen("y", width=2), + "green": pg.mkPen("g", width=2), + "red": pg.mkPen("r", width=2), + "blue": pg.mkPen("b", width=2), + "cyan": pg.mkPen("c", width=2), + "black": pg.mkPen("k", width=2), + } - color_html = {'white' : 'ffffff', - 'yellow': 'ffff00', - 'green' : '00ff00', - 'red' : 'ff0000', - 'blue' : '0000ff', - 'cyan' : '00ffff', - 'black' : '000000', - } + color_html = { + "white": "ffffff", + "yellow": "ffff00", + "green": "00ff00", + "red": "ff0000", + "blue": "0000ff", + "cyan": "00ffff", + "black": "000000", + } def __init__(self, image_reference=None): - if not (image_reference is None): + if image_reference is not None: [height, width] = np.shape(image_reference) self.x = int(width / 2) self.y = int(height / 2) - diff --git a/notebooks/__code/registration/marker_handler.py b/notebooks/__code/registration/marker_handler.py index 5c7395ba..2a02b17c 100755 --- a/notebooks/__code/registration/marker_handler.py +++ b/notebooks/__code/registration/marker_handler.py @@ -1,11 +1,10 @@ import pyqtgraph as pg -from __code.registration.marker_default_settings import MarkerDefaultSettings from __code.registration.get import Get +from __code.registration.marker_default_settings import MarkerDefaultSettings class MarkerHandler: - def __init__(self, parent=None): self.parent = parent @@ -25,19 +24,19 @@ def close_all_markers(self): for marker in self.parent.markers_table.keys(): self.close_markers_of_tab(marker_name=marker) - def close_markers_of_tab(self, marker_name=''): + def close_markers_of_tab(self, marker_name=""): """remove box and label (if they are there) of each marker""" - _data = self.parent.markers_table[marker_name]['data'] + _data = self.parent.markers_table[marker_name]["data"] for _file in _data: - _marker_ui = _data[_file]['marker_ui'] + _marker_ui = _data[_file]["marker_ui"] if _marker_ui: self.parent.ui.image_view.removeItem(_marker_ui) - _label_ui = _data[_file]['label_ui'] + _label_ui = _data[_file]["label_ui"] if _label_ui: self.parent.ui.image_view.removeItem(_label_ui) - def display_markers_of_tab(self, marker_name=''): + def display_markers_of_tab(self, marker_name=""): self.close_markers_of_tab(marker_name=marker_name) # get short name of file selected o_get = Get(parent=self.parent) @@ -45,31 +44,29 @@ def display_markers_of_tab(self, marker_name=''): nbr_file_selected = len(list_short_file_selected) if nbr_file_selected > 1: list_row_selected = o_get.list_row_selected() - _color_marker = self.parent.markers_table[marker_name]['color']['name'] + _color_marker = self.parent.markers_table[marker_name]["color"]["name"] - pen = self.parent.markers_table[marker_name]['color']['qpen'] + pen = self.parent.markers_table[marker_name]["color"]["qpen"] for _index, _file in enumerate(list_short_file_selected): - _marker_data = self.parent.markers_table[marker_name]['data'][_file] + _marker_data = self.parent.markers_table[marker_name]["data"][_file] - x = _marker_data['x'] - y = _marker_data['y'] + x = _marker_data["x"] + y = _marker_data["y"] width = MarkerDefaultSettings.width height = MarkerDefaultSettings.height - _marker_ui = pg.RectROI([x,y], [width, height], pen=pen) + _marker_ui = pg.RectROI([x, y], [width, height], pen=pen) self.parent.ui.image_view.addItem(_marker_ui) _marker_ui.removeHandle(0) _marker_ui.sigRegionChanged.connect(self.parent.marker_has_been_moved) - if nbr_file_selected > 1: # more than 1 file selected, we need to add the index of the file - text_ui = self.parent.add_marker_label(file_index=list_row_selected[_index], - marker_index=marker_name, - x=x, - y=y, - color=_color_marker) - self.parent.markers_table[marker_name]['data'][_file]['label_ui'] = text_ui + if nbr_file_selected > 1: # more than 1 file selected, we need to add the index of the file + text_ui = self.parent.add_marker_label( + file_index=list_row_selected[_index], marker_index=marker_name, x=x, y=y, color=_color_marker + ) + self.parent.markers_table[marker_name]["data"][_file]["label_ui"] = text_ui - _marker_data['marker_ui'] = _marker_ui + _marker_data["marker_ui"] = _marker_ui def marker_has_been_moved(self): o_get = Get(parent=self.parent) @@ -79,42 +76,42 @@ def marker_has_been_moved(self): list_row_selected = o_get.list_row_selected() for _index_marker, _marker_name in enumerate(self.parent.markers_table.keys()): - _color_marker = self.parent.markers_table[_marker_name]['color']['name'] + _color_marker = self.parent.markers_table[_marker_name]["color"]["name"] for _index_file, _file in enumerate(list_short_file_selected): - _marker_data = self.parent.markers_table[_marker_name]['data'][_file] - marker_ui = _marker_data['marker_ui'] + _marker_data = self.parent.markers_table[_marker_name]["data"][_file] + marker_ui = _marker_data["marker_ui"] - region = marker_ui.getArraySlice(self.parent.live_image, - self.parent.ui.image_view.imageItem) + region = marker_ui.getArraySlice(self.parent.live_image, self.parent.ui.image_view.imageItem) x0 = region[0][0].start y0 = region[0][1].start - self.parent.markers_table[_marker_name]['data'][_file]['x'] = x0 - self.parent.markers_table[_marker_name]['data'][_file]['y'] = y0 + self.parent.markers_table[_marker_name]["data"][_file]["x"] = x0 + self.parent.markers_table[_marker_name]["data"][_file]["y"] = y0 - self.parent.registration_markers_ui.update_markers_table_entry(marker_name=_marker_name, - file=_file) + self.parent.registration_markers_ui.update_markers_table_entry(marker_name=_marker_name, file=_file) if nbr_file_selected > 1: - _label_ui = _marker_data['label_ui'] + _label_ui = _marker_data["label_ui"] self.parent.ui.image_view.removeItem(_label_ui) - _label_ui = self.add_marker_label(file_index=list_row_selected[_index_file], - marker_index=_index_marker, - x=x0, - y=y0, - color=_color_marker) + _label_ui = self.add_marker_label( + file_index=list_row_selected[_index_file], + marker_index=_index_marker, + x=x0, + y=y0, + color=_color_marker, + ) self.parent.ui.image_view.addItem(_label_ui) - self.parent.markers_table[_marker_name]['data'][_file]['label_ui'] = _label_ui + self.parent.markers_table[_marker_name]["data"][_file]["label_ui"] = _label_ui - def add_marker_label(self, file_index=0, marker_index=1, x=0, y=0, color='white'): + def add_marker_label(self, file_index=0, marker_index=1, x=0, y=0, color="white"): html_color = MarkerDefaultSettings.color_html[color] html_text = '
Marker#:' - html_text += '' + str(int(marker_index)+1) - html_text += ' - File#:' + html_text += '' + str(int(marker_index) + 1) + html_text += " - File#:" html_text += '' + str(file_index) - html_text += '' - text_ui = pg.TextItem(html=html_text, angle=45, border='w') + html_text += "" + text_ui = pg.TextItem(html=html_text, angle=45, border="w") self.parent.ui.image_view.addItem(text_ui) text_ui.setPos(x + MarkerDefaultSettings.width, y) return text_ui diff --git a/notebooks/__code/registration/registration.py b/notebooks/__code/registration/registration.py index 425c7259..9101b31d 100755 --- a/notebooks/__code/registration/registration.py +++ b/notebooks/__code/registration/registration.py @@ -1,34 +1,32 @@ -from IPython.display import HTML -from IPython.display import display -import numpy as np -import os import copy -from qtpy.QtWidgets import QMainWindow, QTableWidgetItem -from qtpy import QtGui, QtCore +import os +import warnings import webbrowser -from __code import load_ui +import numpy as np +from IPython.display import HTML, display +from qtpy import QtCore, QtGui +from qtpy.QtWidgets import QMainWindow, QTableWidgetItem +from __code import load_ui from __code._utilities.table_handler import TableHandler -from __code.registration.event_handler import EventHandler -from __code.registration.marker_handler import MarkerHandler +from __code.registration.check import Check from __code.registration.display import Display -from __code.registration.initialization import Initialization -from __code.registration.registration_marker import RegistrationMarkersLauncher +from __code.registration.event_handler import EventHandler from __code.registration.export import Export +from __code.registration.initialization import Initialization +from __code.registration.manual import ManualLauncher +from __code.registration.marker_handler import MarkerHandler from __code.registration.registration_auto import RegistrationAuto from __code.registration.registration_auto_confirmation import RegistrationAutoConfirmationLauncher -from __code.registration.manual import ManualLauncher +from __code.registration.registration_marker import RegistrationMarkersLauncher from __code.registration.registration_profile import RegistrationProfileLauncher -from __code.registration.check import Check from __code.registration.table_handler import TableHandler -import warnings -warnings.filterwarnings('ignore') +warnings.filterwarnings("ignore") class RegistrationUi(QMainWindow): - table_registration = {} # dictionary that populate the table table_column_width = [650, 80, 80, 80] @@ -40,7 +38,7 @@ class RegistrationUi(QMainWindow): # by default, the reference image is the first image reference_image_index = 0 reference_image = None - reference_image_short_name = '' + reference_image_short_name = "" color_reference_background = QtGui.QColor(50, 250, 50) color_reference_profile = [50, 250, 50] @@ -50,10 +48,7 @@ class RegistrationUi(QMainWindow): live_image = [] # grid on top of images - grid_view = {'pos': None, - 'adj': None, - 'item': None, - 'color': (0, 0, 255, 255, 1)} + grid_view = {"pos": None, "adj": None, "item": None, "color": (0, 0, 255, 255, 1)} new_reference_image = True list_rgb_profile_color = None @@ -78,32 +73,34 @@ class RegistrationUi(QMainWindow): marker_table_buffer_cell = None # initial position of the marker (None means that no row has been selected yet) - markers_initial_position = {'row': None, - 'tab_name': '1'} + markers_initial_position = {"row": None, "tab_name": "1"} def __init__(self, parent=None, data_dict=None): - super(QMainWindow, self).__init__(parent) - display(HTML('Check UI that will pop up in a few seconds \ - (maybe hidden behind this browser!)')) - ui_full_path = os.path.join(os.path.dirname(os.path.dirname(os.path.dirname(__file__))), - os.path.join('ui', - 'ui_registration.ui')) + display( + HTML( + 'Check UI that will pop up in a few seconds \ + (maybe hidden behind this browser!)' + ) + ) + ui_full_path = os.path.join( + os.path.dirname(os.path.dirname(os.path.dirname(__file__))), os.path.join("ui", "ui_registration.ui") + ) self.ui = load_ui(ui_full_path, baseinstance=self) self.setWindowTitle("Registration") self.data_dict = data_dict # Normalization data dictionary {'filename': [], - #'data': [[...],[...]]], - #'metadata': [], - #'shape': {}} + #'data': [[...],[...]]], + #'metadata': [], + #'shape': {}} # untouched array of images (used to move and rotate images) self.data_dict_raw = copy.deepcopy(data_dict) - self.reference_image = self.data_dict['data'][self.reference_image_index] - self.working_dir = os.path.dirname(self.data_dict['file_name'][0]) - self.reference_image_short_name = str(os.path.basename(self.data_dict['file_name'][0])) + self.reference_image = self.data_dict["data"][self.reference_image_index] + self.working_dir = os.path.dirname(self.data_dict["file_name"][0]) + self.reference_image_short_name = str(os.path.basename(self.data_dict["file_name"][0])) # initialization o_init = Initialization(parent=self) @@ -114,12 +111,12 @@ def __init__(self, parent=None, data_dict=None): o_event.profile_line_moved() self.new_reference_image = False - self.ui.selection_reference_opacity_groupBox.setVisible(False) # because by default first row = reference selected + self.ui.selection_reference_opacity_groupBox.setVisible( + False + ) # because by default first row = reference selected def filter_checkbox_clicked(self): - list_ui = [self.ui.filter_column_name_comboBox, - self.ui.filter_logic_comboBox, - self.ui.filter_value] + list_ui = [self.ui.filter_column_name_comboBox, self.ui.filter_logic_comboBox, self.ui.filter_value] for _ui in list_ui: _ui.setEnabled(self.ui.filter_checkBox.isChecked()) @@ -168,12 +165,12 @@ def __insert_table_row(self, infos={}, row=-1): if row == self.reference_image_index: is_reference_image = True - self.set_item(row, 0, infos['filename'], is_reference_image=is_reference_image) - self.set_item(row, 1, infos['xoffset'], is_reference_image=is_reference_image) - self.set_item(row, 2, infos['yoffset'], is_reference_image=is_reference_image) - self.set_item(row, 3, infos['rotation'], is_reference_image=is_reference_image) + self.set_item(row, 0, infos["filename"], is_reference_image=is_reference_image) + self.set_item(row, 1, infos["xoffset"], is_reference_image=is_reference_image) + self.set_item(row, 2, infos["yoffset"], is_reference_image=is_reference_image) + self.set_item(row, 3, infos["rotation"], is_reference_image=is_reference_image) - def set_item(self, row=0, col=0, value='', is_reference_image=False): + def set_item(self, row=0, col=0, value="", is_reference_image=False): item = QTableWidgetItem(str(value)) self.ui.tableWidget.setItem(row, col, item) if is_reference_image: @@ -261,9 +258,7 @@ def next_image_button_clicked(self): def selection_all_clicked(self): _is_checked = self.ui.selection_all.isChecked() - list_widgets = [self.ui.top_row_label, - self.ui.bottom_row_label, - self.ui.opacity_selection_slider] + list_widgets = [self.ui.top_row_label, self.ui.bottom_row_label, self.ui.opacity_selection_slider] for _widget in list_widgets: _widget.setEnabled(not _is_checked) self.display_image() @@ -289,32 +284,44 @@ def selection_slider_moved(self): def manual_registration_button_clicked(self): """launch the manual registration tool""" o_registration_tool = ManualLauncher(parent=self) - self.set_widget_status(list_ui=[self.ui.auto_registration_button, - self.ui.marker_registration_button, - self.ui.profiler_registration_button], - enabled=False) + self.set_widget_status( + list_ui=[ + self.ui.auto_registration_button, + self.ui.marker_registration_button, + self.ui.profiler_registration_button, + ], + enabled=False, + ) def auto_registration_button_clicked(self): o_registration_auto_confirmed = RegistrationAutoConfirmationLauncher(parent=self) def markers_registration_button_clicked(self): o_markers_registration = RegistrationMarkersLauncher(parent=self) - self.set_widget_status(list_ui=[self.ui.auto_registration_button, - self.ui.manual_registration_button, - self.ui.profiler_registration_button], - enabled=False) + self.set_widget_status( + list_ui=[ + self.ui.auto_registration_button, + self.ui.manual_registration_button, + self.ui.profiler_registration_button, + ], + enabled=False, + ) def profiler_registration_button_clicked(self): - self.set_widget_status(list_ui=[self.ui.auto_registration_button, - self.ui.manual_registration_button, - self.ui.marker_registration_button], - enabled=False) + self.set_widget_status( + list_ui=[ + self.ui.auto_registration_button, + self.ui.manual_registration_button, + self.ui.marker_registration_button, + ], + enabled=False, + ) o_registration_profile = RegistrationProfileLauncher(parent=self) def start_auto_registration(self): - o_auto_register = RegistrationAuto(parent=self, - reference_image=self.reference_image, - floating_images=self.data_dict['data']) + o_auto_register = RegistrationAuto( + parent=self, reference_image=self.reference_image, floating_images=self.data_dict["data"] + ) o_auto_register.auto_align() def grid_display_checkBox_clicked(self): diff --git a/notebooks/__code/registration/registration_auto.py b/notebooks/__code/registration/registration_auto.py index ac289e51..8582cbfc 100755 --- a/notebooks/__code/registration/registration_auto.py +++ b/notebooks/__code/registration/registration_auto.py @@ -8,7 +8,6 @@ class RegistrationAuto: - registered_parameters = {} def __init__(self, parent=None, reference_image=[], floating_images=[]): @@ -25,14 +24,13 @@ def auto_align(self): self.parent.eventProgress.setValue(0) self.parent.eventProgress.setVisible(True) - for _row,_image in enumerate(_list_images): - [yoffset, xoffset], error, diffphase = register_translation(_ref_image, - _image) + for _row, _image in enumerate(_list_images): + [yoffset, xoffset], error, diffphase = register_translation(_ref_image, _image) if not _row == self.parent.reference_image_index: self.parent.set_item(row=_row, col=1, value=xoffset) self.parent.set_item(row=_row, col=2, value=yoffset) - self.parent.eventProgress.setValue(_row+1) + self.parent.eventProgress.setValue(_row + 1) QApplication.processEvents() self.parent.eventProgress.setVisible(False) diff --git a/notebooks/__code/registration/registration_auto_confirmation.py b/notebooks/__code/registration/registration_auto_confirmation.py index 6c2a583f..0d83070d 100755 --- a/notebooks/__code/registration/registration_auto_confirmation.py +++ b/notebooks/__code/registration/registration_auto_confirmation.py @@ -1,15 +1,16 @@ -from qtpy.QtWidgets import QDialog -from qtpy.QtGui import QPixmap import os + +from qtpy.QtGui import QPixmap +from qtpy.QtWidgets import QDialog + from __code import load_ui class RegistrationAutoConfirmationLauncher: - parent = None def __init__(self, parent=None): - self.parent=parent + self.parent = parent if self.parent.registration_auto_confirmation_ui is None: conf_ui = RegistrationManualAutoConfirmation(parent=parent) @@ -21,20 +22,20 @@ def __init__(self, parent=None): class RegistrationManualAutoConfirmation(QDialog): - def __init__(self, parent=None): self.parent = parent super(QDialog, self).__init__(parent) - ui_full_path = os.path.join(os.path.dirname(os.path.dirname(os.path.dirname(__file__))), - os.path.join('ui', - 'ui_registration_auto_confirmation.ui')) + ui_full_path = os.path.join( + os.path.dirname(os.path.dirname(os.path.dirname(__file__))), + os.path.join("ui", "ui_registration_auto_confirmation.ui"), + ) self.ui = load_ui(ui_full_path, baseinstance=self) self.initialize_widgets() def initialize_widgets(self): _file_path = os.path.dirname(__file__) - warning_image_file = os.path.abspath(os.path.join(_file_path, '../static/warning_icon.png')) + warning_image_file = os.path.abspath(os.path.join(_file_path, "../static/warning_icon.png")) warning_image = QPixmap(warning_image_file) self.ui.warning_label.setPixmap(warning_image) diff --git a/notebooks/__code/registration/registration_marker.py b/notebooks/__code/registration/registration_marker.py index 7236af5b..7a59d279 100755 --- a/notebooks/__code/registration/registration_marker.py +++ b/notebooks/__code/registration/registration_marker.py @@ -1,20 +1,19 @@ -from qtpy.QtWidgets import QDialog, QApplication -from qtpy import QtGui, QtCore -from qtpy.QtWidgets import QTableWidget, QTableWidgetItem, QMenu, QApplication import os + import numpy as np +from qtpy import QtCore, QtGui +from qtpy.QtWidgets import QApplication, QDialog, QMenu, QTableWidget, QTableWidgetItem from __code import load_ui from __code._utilities.table_handler import TableHandler +from __code.registration.event_handler import EventHandler from __code.registration.marker_default_settings import MarkerDefaultSettings from __code.registration.marker_handler import MarkerHandler -from __code.registration.event_handler import EventHandler TABLE_NBR_COLUMNS = 4 class RegistrationMarkersLauncher: - parent = None def __init__(self, parent=None): @@ -25,7 +24,7 @@ def __init__(self, parent=None): markers_ui.show() self.parent.registration_markers_ui = markers_ui self.parent.registration_markers_ui.init_widgets() - #self.parent.display_markers(all=True) + # self.parent.display_markers(all=True) else: self.parent.registration_markers_ui.activateWindow() self.parent.registration_markers_ui.setFocus() @@ -41,14 +40,15 @@ def __init__(self, parent=None): super(QDialog, self).__init__(parent) self.parent = parent - ui_full_path = os.path.join(os.path.dirname(os.path.dirname(os.path.dirname(__file__))), - os.path.join('ui', - 'ui_registration_markers.ui')) + ui_full_path = os.path.join( + os.path.dirname(os.path.dirname(os.path.dirname(__file__))), + os.path.join("ui", "ui_registration_markers.ui"), + ) self.ui = load_ui(ui_full_path, baseinstance=self) - self.nbr_files = len(self.parent.data_dict['file_name']) + self.nbr_files = len(self.parent.data_dict["file_name"]) def tab_changed(self, tab_index): - self.cell_clicked(str(tab_index+1)) + self.cell_clicked(str(tab_index + 1)) def resizing_column(self, index_column, old_size, new_size): """let's collect the size of the column in the current tab and then @@ -57,7 +57,7 @@ def resizing_column(self, index_column, old_size, new_size): _current_tab = self.ui.tabWidget.currentIndex() _tab_title = self.ui.tabWidget.tabText(_current_tab) - _live_table_ui = self.parent.markers_table[_tab_title]['ui'] + _live_table_ui = self.parent.markers_table[_tab_title]["ui"] nbr_column = _live_table_ui.columnCount() table_column_width = [] for _col in np.arange(nbr_column): @@ -67,7 +67,7 @@ def resizing_column(self, index_column, old_size, new_size): self.parent.markers_table_column_width = table_column_width for _key in self.parent.markers_table.keys(): - _table_ui = self.parent.markers_table[_key]['ui'] + _table_ui = self.parent.markers_table[_key]["ui"] if not (_table_ui == _live_table_ui): for _col, _size in enumerate(self.parent.markers_table_column_width): _table_ui.setColumnWidth(_col, self.parent.markers_table_column_width[_col]) @@ -78,14 +78,14 @@ def init_widgets(self): else: self.populate_using_markers_table() - def update_markers_table_entry(self, marker_name='1', file=''): - markers = self.parent.markers_table[marker_name]['data'][file] - table_ui = self.parent.markers_table[marker_name]['ui'] + def update_markers_table_entry(self, marker_name="1", file=""): + markers = self.parent.markers_table[marker_name]["data"][file] + table_ui = self.parent.markers_table[marker_name]["ui"] nbr_row = table_ui.rowCount() table_ui.blockSignals(True) - x = str(markers['x']) - y = str(markers['y']) + x = str(markers["x"]) + y = str(markers["y"]) for _row in np.arange(nbr_row): _file_name_of_row = str(table_ui.item(_row, 0).text()) @@ -98,7 +98,6 @@ def update_markers_table_entry(self, marker_name='1', file=''): def populate_using_markers_table(self): for _key_tab_name in self.parent.markers_table: - _table = QTableWidget(self.nbr_files, TABLE_NBR_COLUMNS) _table.blockSignals(True) _table.setHorizontalHeaderLabels(["File Name", "X", "Y", "Status"]) @@ -113,20 +112,22 @@ def populate_using_markers_table(self): _table.setColumnWidth(_col, self.parent.markers_table_column_width[_col]) _table.horizontalHeader().sectionResized.connect(self.resizing_column) - _table.cellClicked.connect(lambda row=0, column=0, tab_index=_key_tab_name: self.table_row_clicked( - row, column, tab_index)) - _table.itemSelectionChanged.connect(lambda key_tab_name=_key_tab_name: - self.cell_clicked(key_tab_name=_key_tab_name)) - - _data_dict = self.parent.markers_table[_key_tab_name]['data'] - for _row, _file in enumerate(self.parent.data_dict['file_name']): + _table.cellClicked.connect( + lambda row=0, column=0, tab_index=_key_tab_name: self.table_row_clicked(row, column, tab_index) + ) + _table.itemSelectionChanged.connect( + lambda key_tab_name=_key_tab_name: self.cell_clicked(key_tab_name=_key_tab_name) + ) + + _data_dict = self.parent.markers_table[_key_tab_name]["data"] + for _row, _file in enumerate(self.parent.data_dict["file_name"]): _short_file = os.path.basename(_file) - x = _data_dict[_short_file]['x'] - y = _data_dict[_short_file]['y'] + x = _data_dict[_short_file]["x"] + y = _data_dict[_short_file]["y"] self.__populate_table_row(_table, _row, _short_file, x, y) _table.itemChanged.connect(self.table_cell_modified) - self.parent.markers_table[_key_tab_name]['ui'] = _table + self.parent.markers_table[_key_tab_name]["ui"] = _table self.ui.tabWidget.blockSignals(True) _ = self.ui.tabWidget.addTab(_table, _key_tab_name) self.ui.tabWidget.blockSignals(False) @@ -146,7 +147,7 @@ def get_current_active_tab(self): def get_row_selected_of_current_active_tab(self): key_tab_name = self.get_current_active_tab() - table_ui = self.parent.markers_table[key_tab_name]['ui'] + table_ui = self.parent.markers_table[key_tab_name]["ui"] o_table = TableHandler(table_ui=table_ui) row_selected = o_table.get_row_selected() return row_selected @@ -156,7 +157,7 @@ def cell_clicked(self, key_tab_name): activate the same row in the main table """ if self.parent.markers_table.get(key_tab_name, None): - table_ui = self.parent.markers_table[key_tab_name]['ui'] + table_ui = self.parent.markers_table[key_tab_name]["ui"] o_table = TableHandler(table_ui=table_ui) row_selected = o_table.get_row_selected() @@ -183,7 +184,7 @@ def __populate_table_row(self, table_ui, row, file, x, y): table_ui.setItem(row, 2, _item) # status - _item = QTableWidgetItem(str("")) + _item = QTableWidgetItem("") table_ui.setItem(row, 3, _item) def get_marker_name(self): @@ -195,14 +196,14 @@ def get_marker_name(self): while True: if _marker_name in markers_table: - _marker_name = str(int(_marker_name)+1) + _marker_name = str(int(_marker_name) + 1) else: return _marker_name def save_column_size(self): # using first table for _key in self.parent.markers_table.keys(): - _table_ui = self.parent.markers_table[_key]['ui'] + _table_ui = self.parent.markers_table[_key]["ui"] nbr_column = _table_ui.columnCount() table_column_width = [] for _col in np.arange(nbr_column): @@ -218,8 +219,8 @@ def save_current_table(self): # retrieve master markers dictionary markers_table = self.parent.markers_table # current table ui - table_ui = markers_table[_tab_title]['ui'] - table_data = markers_table[_tab_title]['data'] + table_ui = markers_table[_tab_title]["ui"] + table_data = markers_table[_tab_title]["data"] nbr_row = table_ui.rowCount() for _row in np.arange(nbr_row): @@ -227,10 +228,10 @@ def save_current_table(self): x = int(str(table_ui.item(_row, 1).text())) y = int(str(table_ui.item(_row, 2).text())) - table_data[file_name]['x'] = x - table_data[file_name]['y'] = y + table_data[file_name]["x"] = x + table_data[file_name]["y"] = y - markers_table[_tab_title]['data'] = table_data + markers_table[_tab_title]["data"] = table_data self.parent.markers_table = markers_table def get_current_marker_name(self): @@ -242,7 +243,7 @@ def get_current_table_ui(self): _current_tab = self.ui.tabWidget.currentIndex() _tab_title = self.ui.tabWidget.tabText(_current_tab) markers_table = self.parent.markers_table - table_ui = markers_table[_tab_title]['ui'] + table_ui = markers_table[_tab_title]["ui"] return table_ui def copy_cell(self, row_selected=-1, column_selected=-1): @@ -256,12 +257,12 @@ def paste_cell(self, top_row_selected=-1, bottom_row_selected=-1, column_selecte markers_table = self.parent.markers_table marker_name = self.get_current_marker_name() if column_selected == 1: - marker_axis = 'x' + marker_axis = "x" else: - marker_axis = 'y' - for _row in np.arange(top_row_selected, bottom_row_selected+1): + marker_axis = "y" + for _row in np.arange(top_row_selected, bottom_row_selected + 1): _file = str(table_ui.item(_row, 0).text()) - markers_table[marker_name]['data'][_file][marker_axis] = cell_contain_to_copy + markers_table[marker_name]["data"][_file][marker_axis] = cell_contain_to_copy table_ui.item(_row, column_selected).setText(str(cell_contain_to_copy)) self.parent.markers_table = markers_table @@ -318,11 +319,10 @@ def table_right_click(self, position): menu = QMenu(self) if left_column_selected in [1, 2]: - if bottom_row_selected == top_row_selected: copy_cell = menu.addAction("Copy") - if not (self.parent.marker_table_buffer_cell is None): + if self.parent.marker_table_buffer_cell is not None: paste_cell = menu.addAction("Paste") menu.addSeparator() @@ -330,7 +330,7 @@ def table_right_click(self, position): self.start_marker = menu.addAction("Set marker interpolation initial position") self.end_marker = menu.addAction("Set marker interpolation final position and process intermediate markers") - if self.parent.markers_initial_position['row'] is None: + if self.parent.markers_initial_position["row"] is None: self.end_marker.setEnabled(False) else: self.end_marker.setEnabled(True) @@ -338,13 +338,14 @@ def table_right_click(self, position): action = menu.exec_(QtGui.QCursor.pos()) if action == copy_cell: - self.copy_cell(row_selected=top_row_selected, - column_selected=left_column_selected) + self.copy_cell(row_selected=top_row_selected, column_selected=left_column_selected) elif action == paste_cell: - self.paste_cell(top_row_selected=top_row_selected, - bottom_row_selected=bottom_row_selected, - column_selected=left_column_selected) + self.paste_cell( + top_row_selected=top_row_selected, + bottom_row_selected=bottom_row_selected, + column_selected=left_column_selected, + ) elif action == self.start_marker: self.start_marker_initialized() @@ -355,52 +356,41 @@ def table_right_click(self, position): def start_marker_initialized(self): row_selected = self.get_row_selected_of_current_active_tab() tab_selected = self.get_current_active_tab() - self.parent.markers_initial_position['row'] = row_selected - self.parent.markers_initial_position['tab_name'] = tab_selected - o_table = TableHandler(table_ui=self.parent.markers_table[tab_selected]['ui']) + self.parent.markers_initial_position["row"] = row_selected + self.parent.markers_initial_position["tab_name"] = tab_selected + o_table = TableHandler(table_ui=self.parent.markers_table[tab_selected]["ui"]) o_table.set_item_with_str(row=row_selected, column=3, cell_str="Interpolation starting position") def end_marker_initialized(self): tab_selected = self.get_current_active_tab() - o_table = TableHandler(table_ui=self.parent.markers_table[tab_selected]['ui']) - from_row = self.parent.markers_initial_position['row'] + o_table = TableHandler(table_ui=self.parent.markers_table[tab_selected]["ui"]) + from_row = self.parent.markers_initial_position["row"] to_row = o_table.get_row_selected() - starting_row_selected = self.parent.markers_initial_position['row'] - o_table.set_item_with_str(row=starting_row_selected, - column=3, - cell_str="") + starting_row_selected = self.parent.markers_initial_position["row"] + o_table.set_item_with_str(row=starting_row_selected, column=3, cell_str="") - xoffset_from = int(o_table.get_item_str_from_cell(row=from_row, - column=1)) - yoffset_from = int(o_table.get_item_str_from_cell(row=from_row, - column=2)) + xoffset_from = int(o_table.get_item_str_from_cell(row=from_row, column=1)) + yoffset_from = int(o_table.get_item_str_from_cell(row=from_row, column=2)) - xoffset_to = int(o_table.get_item_str_from_cell(row=to_row, - column=1)) - yoffset_to = int(o_table.get_item_str_from_cell(row=to_row, - column=2)) + xoffset_to = int(o_table.get_item_str_from_cell(row=to_row, column=1)) + yoffset_to = int(o_table.get_item_str_from_cell(row=to_row, column=2)) nbr_rows_between = np.abs(to_row - from_row) - 1 if nbr_rows_between >= 1: - delta_xoffset = (xoffset_to - xoffset_from) / (nbr_rows_between + 1) delta_yoffset = (yoffset_to - yoffset_from) / (nbr_rows_between + 1) coeff = 1 - for _row in np.arange(from_row+1, to_row): + for _row in np.arange(from_row + 1, to_row): xoffset_value = int(np.round(xoffset_from + coeff * delta_xoffset)) - o_table.set_item_with_str(row=_row, - column=1, - cell_str=str(xoffset_value)) + o_table.set_item_with_str(row=_row, column=1, cell_str=str(xoffset_value)) yoffset_value = int(np.round(yoffset_from + coeff * delta_yoffset)) - o_table.set_item_with_str(row=_row, - column=2, - cell_str=str(yoffset_value)) + o_table.set_item_with_str(row=_row, column=2, cell_str=str(yoffset_value)) coeff += 1 - self.parent.markers_initial_position['row'] = None + self.parent.markers_initial_position["row"] = None self.save_current_table() def remove_marker_button_clicked(self): @@ -427,7 +417,7 @@ def add_marker_button_clicked(self): table.setContextMenuPolicy(QtCore.Qt.CustomContextMenu) table.customContextMenuRequested.connect(self.table_right_click) - #table.setSelectionBehavior(QtWidgets.QAbstractItemView.SelectRows) + # table.setSelectionBehavior(QtWidgets.QAbstractItemView.SelectRows) # QtCore.QObject.connect(_table, QtCore.SIGNAL(_fromUtf8("customContextMenuRequested(QPoint)")), # self.table_right_click) @@ -440,29 +430,30 @@ def add_marker_button_clicked(self): _ = self.ui.tabWidget.addTab(table, new_marker_name) _marker_dict = {} - _marker_dict['ui'] = table + _marker_dict["ui"] = table (_qpen, _color_name) = self.get_current_selected_color() - _marker_dict['color'] = {} - _marker_dict['color']['qpen'] = _qpen - _marker_dict['color']['name'] = _color_name + _marker_dict["color"] = {} + _marker_dict["color"]["qpen"] = _qpen + _marker_dict["color"]["name"] = _color_name _data_dict = {} - for _row, _file in enumerate(self.parent.data_dict['file_name']): + for _row, _file in enumerate(self.parent.data_dict["file_name"]): _short_file = os.path.basename(_file) x = self.parent.o_MarkerDefaultSettings.x y = self.parent.o_MarkerDefaultSettings.y self.__populate_table_row(table, _row, _short_file, x, y) - _data_dict[_short_file] = {'x': x, 'y': y, 'marker_ui': None, 'label_ui': None} + _data_dict[_short_file] = {"x": x, "y": y, "marker_ui": None, "label_ui": None} - _marker_dict['data'] = _data_dict + _marker_dict["data"] = _data_dict # activate last index number_of_tabs = self.ui.tabWidget.count() self.ui.tabWidget.setCurrentIndex(number_of_tabs - 1) table.itemChanged.connect(self.table_cell_modified) - table.itemSelectionChanged.connect(lambda key_tab_name=new_marker_name: - self.cell_clicked(key_tab_name=new_marker_name)) + table.itemSelectionChanged.connect( + lambda key_tab_name=new_marker_name: self.cell_clicked(key_tab_name=new_marker_name) + ) self.parent.markers_table[new_marker_name] = _marker_dict o_marker = MarkerHandler(parent=self.parent) @@ -475,8 +466,8 @@ def marker_color_changed(self, color): _current_tab = self.ui.tabWidget.currentIndex() _tab_title = self.ui.tabWidget.tabText(_current_tab) new_color = MarkerDefaultSettings.color[color] - self.parent.markers_table[_tab_title]['color']['qpen'] = new_color - self.parent.markers_table[_tab_title]['color']['name'] = color + self.parent.markers_table[_tab_title]["color"]["qpen"] = new_color + self.parent.markers_table[_tab_title]["color"]["name"] = color o_marker = MarkerHandler(parent=self.parent) o_marker.display_markers_of_tab(marker_name=_tab_title) @@ -490,8 +481,8 @@ def table_cell_modified(self): def marker_tab_changed(self, tab_index): # first time, markers_table is still empty try: - self.parent.markers_table[str(tab_index+1)] - color = self.parent.markers_table[str(tab_index+1)]['color']['name'] + self.parent.markers_table[str(tab_index + 1)] + color = self.parent.markers_table[str(tab_index + 1)]["color"]["name"] index_color = self.ui.marker_color_widget.findText(color) self.ui.marker_color_widget.setCurrentIndex(index_color) o_marker = MarkerHandler(parent=self.parent) @@ -516,9 +507,9 @@ def run_registration_button_clicked(self): step += 1 self.parent.eventProgress.setValue(step) for _marker in markers_table.keys(): - _list_files = markers_table[_marker]['data'] + _list_files = markers_table[_marker]["data"] for _file in _list_files: - markers_list[_file] = {'x': [], 'y': []} + markers_list[_file] = {"x": [], "y": []} break # calculate mean marker Position for all images @@ -527,34 +518,34 @@ def run_registration_button_clicked(self): self.parent.eventProgress.setValue(step) QApplication.processEvents() for _marker in markers_table.keys(): - _list_files = markers_table[_marker]['data'] + _list_files = markers_table[_marker]["data"] for _file in _list_files: - markers_list[_file]['x'].append(markers_table[_marker]['data'][_file]['x']) - markers_list[_file]['y'].append(markers_table[_marker]['data'][_file]['y']) + markers_list[_file]["x"].append(markers_table[_marker]["data"][_file]["x"]) + markers_list[_file]["y"].append(markers_table[_marker]["data"][_file]["y"]) step += 1 self.parent.eventProgress.setValue(step) QApplication.processEvents() for _file in markers_list.keys(): - markers_list[_file]['mean_x'] = np.mean(markers_list[_file]['x']) - markers_list[_file]['mean_y'] = np.mean(markers_list[_file]['y']) + markers_list[_file]["mean_x"] = np.mean(markers_list[_file]["x"]) + markers_list[_file]["mean_y"] = np.mean(markers_list[_file]["y"]) # calculate ref_x and ref_y (position of mean x and mean y of reference image) - ref_x = markers_list[self.parent.reference_image_short_name]['mean_x'] - ref_y = markers_list[self.parent.reference_image_short_name]['mean_y'] + ref_x = markers_list[self.parent.reference_image_short_name]["mean_x"] + ref_y = markers_list[self.parent.reference_image_short_name]["mean_y"] # calculate for all the other files, the x and y offset to apply and fill the master # table automatically step += 1 self.parent.eventProgress.setValue(step) QApplication.processEvents() - for _index, _file in enumerate(self.parent.data_dict['file_name']): + for _index, _file in enumerate(self.parent.data_dict["file_name"]): _short_file = os.path.basename(_file) - mean_x = markers_list[_short_file]['mean_x'] + mean_x = markers_list[_short_file]["mean_x"] x_offset = ref_x - mean_x - mean_y = markers_list[_short_file]['mean_y'] + mean_y = markers_list[_short_file]["mean_y"] y_offset = ref_y - mean_y self.parent.ui.tableWidget.item(_index, 1).setText(str(x_offset)) @@ -586,8 +577,12 @@ def closeEvent(self, c): o_event = MarkerHandler(parent=self.parent) o_event.close_all_markers() - self.parent.set_widget_status(list_ui=[self.parent.ui.auto_registration_button, - self.parent.ui.manual_registration_button, - self.parent.ui.profiler_registration_button], - enabled=True) + self.parent.set_widget_status( + list_ui=[ + self.parent.ui.auto_registration_button, + self.parent.ui.manual_registration_button, + self.parent.ui.profiler_registration_button, + ], + enabled=True, + ) self.parent.registration_markers_ui = None diff --git a/notebooks/__code/registration/registration_profile.py b/notebooks/__code/registration/registration_profile.py index e9ff265a..45ad5ed7 100755 --- a/notebooks/__code/registration/registration_profile.py +++ b/notebooks/__code/registration/registration_profile.py @@ -1,29 +1,37 @@ -from IPython.display import HTML -from IPython.display import display -import pyqtgraph as pg -from pyqtgraph.dockarea import * +import copy import os + import numpy as np +import pyqtgraph as pg from changepy import pelt from changepy.costs import normal_var -from scipy.ndimage.interpolation import shift -import copy -from qtpy.QtWidgets import QMainWindow, QFileDialog, QApplication, QProgressBar, QLabel, QSlider, QHBoxLayout, \ - QVBoxLayout, QWidget, QTableWidgetSelectionRange, QTableWidgetItem - -from qtpy import QtGui, QtCore - +from IPython.display import HTML, display from NeuNorm.normalization import Normalization -from __code._utilities.file import make_or_reset_folder +from pyqtgraph.dockarea import * +from qtpy import QtCore, QtGui +from qtpy.QtWidgets import ( + QApplication, + QFileDialog, + QHBoxLayout, + QLabel, + QMainWindow, + QProgressBar, + QSlider, + QTableWidgetItem, + QTableWidgetSelectionRange, + QVBoxLayout, + QWidget, +) +from scipy.ndimage.interpolation import shift -from __code._utilities.color import Color from __code import load_ui +from __code._utilities.color import Color +from __code._utilities.file import make_or_reset_folder from __code.registration import interact_me_style, normal_style from __code.registration.calculate_profiles_difference import CalculateProfilesDifference class RegistrationProfileLauncher: - parent = None def __init__(self, parent=None): @@ -39,14 +47,12 @@ def __init__(self, parent=None): class Algorithm: - sliding_average = "sliding_average" change_point = "change_point" profiles_difference_minimization = "profiles_difference_minimization" class RegistrationProfileUi(QMainWindow): - does_top_parent_exist = False peak_algorithm = Algorithm.profiles_difference_minimization @@ -59,7 +65,7 @@ class RegistrationProfileUi(QMainWindow): # reference file reference_image_index = 0 reference_image = [] - reference_image_short_name = '' + reference_image_short_name = "" color_reference_background = QtGui.QColor(50, 250, 50) # ui @@ -68,7 +74,7 @@ class RegistrationProfileUi(QMainWindow): horizontal_profile = None vertical_length_slider = None vertical_width_slider = None - vertical_profile = None # profile line in view + vertical_profile = None # profile line in view # profiles infinite peam hori_infinite_line_ui = None @@ -82,50 +88,55 @@ class RegistrationProfileUi(QMainWindow): max_delta_pixel_offset = 20 settings_ui = None - peak = {'horizontal': [], - 'vertical': [], - } - - offset = {'horizontal': [], - 'vertical': [], - } - - roi = {'vertical': {'x0': 50, - 'y0': 50, - 'width': 50, - 'length': 500, - 'max_width': 50, - 'min_width': 1, - 'max_length': 500, - 'min_length': 10, - 'color': QtGui.QColor(255, 0, 0), - 'color-peak': (255, 0, 0), - 'yaxis': [], - 'profiles': {}, - }, - 'horizontal': {'x0': 100, - 'y0': 100, - 'length': 500, - 'width': 50, - 'max_length': 500, - 'min_length': 10, - 'max_width': 50, - 'min_width': 1, - 'color': QtGui.QColor(0, 0, 255), - 'color-peak': (0, 0, 255), - 'xaxis': [], - 'profiles': {} - }, - 'width': 0.05, - 'symbol': 'w', - } + peak = { + "horizontal": [], + "vertical": [], + } + + offset = { + "horizontal": [], + "vertical": [], + } + + roi = { + "vertical": { + "x0": 50, + "y0": 50, + "width": 50, + "length": 500, + "max_width": 50, + "min_width": 1, + "max_length": 500, + "min_length": 10, + "color": QtGui.QColor(255, 0, 0), + "color-peak": (255, 0, 0), + "yaxis": [], + "profiles": {}, + }, + "horizontal": { + "x0": 100, + "y0": 100, + "length": 500, + "width": 50, + "max_length": 500, + "min_length": 10, + "max_width": 50, + "min_width": 1, + "color": QtGui.QColor(0, 0, 255), + "color-peak": (0, 0, 255), + "xaxis": [], + "profiles": {}, + }, + "width": 0.05, + "symbol": "w", + } def __init__(self, parent=None, data_dict=None): - super(QMainWindow, self).__init__(parent) - ui_full_path = os.path.join(os.path.dirname(os.path.dirname(os.path.dirname(__file__))), - os.path.join('ui', - 'ui_registration_profile.ui')) + ui_full_path = os.path.join( + os.path.dirname(os.path.dirname(os.path.dirname(__file__))), + os.path.join("ui", "ui_registration_profile.ui"), + ) self.ui = load_ui(ui_full_path, baseinstance=self) self.setWindowTitle("Registration Profile Tool") @@ -139,10 +150,14 @@ def __init__(self, parent=None, data_dict=None): self.does_top_parent_exist = True self.working_dir = self.parent.working_dir elif data_dict: - display(HTML('Check UI that popped up \ - (maybe hidden behind this browser!)')) + display( + HTML( + 'Check UI that popped up \ + (maybe hidden behind this browser!)' + ) + ) self.data_dict = copy.deepcopy(data_dict) - self.working_dir = os.path.dirname(data_dict['file_name'][0]) + self.working_dir = os.path.dirname(data_dict["file_name"][0]) else: raise ValueError("please provide data_dict") @@ -156,7 +171,7 @@ def __init__(self, parent=None, data_dict=None): self._display_selected_row() self._check_widgets() - + self.update_hori_verti_profile_plot_of_selected_file() ## Initialization @@ -170,21 +185,21 @@ def init_statusbar(self): def init_parameters(self): _color = Color() - nbr_files = len(self.data_dict['file_name']) + nbr_files = len(self.data_dict["file_name"]) self.list_rgb_profile_color = _color.get_list_rgb(nbr_color=nbr_files) # peak array self.peak = {} - self.peak['vertical'] = np.zeros(nbr_files) - self.peak['horizontal'] = np.zeros(nbr_files) + self.peak["vertical"] = np.zeros(nbr_files) + self.peak["horizontal"] = np.zeros(nbr_files) # x and y offset self.offset = {} - self.offset['vertical'] = np.zeros(nbr_files) - self.offset['horizontal'] = np.zeros(nbr_files) + self.offset["vertical"] = np.zeros(nbr_files) + self.offset["horizontal"] = np.zeros(nbr_files) def init_slider(self): - self.ui.file_slider.setMaximum(len(self.data_dict['data'])-1) + self.ui.file_slider.setMaximum(len(self.data_dict["data"]) - 1) def init_statusbar(self): self.eventProgress = QProgressBar(self.ui.statusbar) @@ -229,11 +244,11 @@ def init_pyqtgraph(self): d3 = Dock("Vertical Profile", size=(300, 200)) d4 = Dock("Peaks Position", size=(600, 600)) - area.addDock(d2, 'top') - area.addDock(d1, 'left', d2) - area.addDock(d4, 'above', d1) - area.addDock(d3, 'bottom', d2) - area.moveDock(d1, 'above', d4) + area.addDock(d2, "top") + area.addDock(d1, "left", d2) + area.addDock(d4, "above", d1) + area.addDock(d3, "bottom", d2) + area.moveDock(d1, "above", d4) # registered image ara (left dock) self.ui.image_view = pg.ImageView(view=pg.PlotItem()) @@ -242,14 +257,14 @@ def init_pyqtgraph(self): d1.addWidget(self.ui.image_view) # vertical rois - _color = self.roi['vertical']['color'] + _color = self.roi["vertical"]["color"] _pen = QtGui.QPen() _pen.setColor(_color) - _pen.setWidthF(self.roi['width']) - _x0 = self.roi['vertical']['x0'] - _y0 = self.roi['vertical']['y0'] - _width = self.roi['vertical']['width'] - _length = self.roi['vertical']['length'] + _pen.setWidthF(self.roi["width"]) + _x0 = self.roi["vertical"]["x0"] + _y0 = self.roi["vertical"]["y0"] + _width = self.roi["vertical"]["width"] + _length = self.roi["vertical"]["length"] _roi_id = pg.ROI([_x0, _y0], [_width, _length], pen=_pen, scaleSnap=True) self.ui.image_view.addItem(_roi_id) _roi_id.sigRegionChanged.connect(self.vertical_roi_moved) @@ -257,41 +272,41 @@ def init_pyqtgraph(self): self.ui.image_view.addItem(self.vertical_profile) # horizontal rois - _color = self.roi['horizontal']['color'] + _color = self.roi["horizontal"]["color"] _pen = QtGui.QPen() _pen.setColor(_color) - _pen.setWidthF(self.roi['width']) - _x0 = self.roi['horizontal']['x0'] - _y0 = self.roi['horizontal']['y0'] - _length = self.roi['horizontal']['length'] - _width = self.roi['horizontal']['width'] + _pen.setWidthF(self.roi["width"]) + _x0 = self.roi["horizontal"]["x0"] + _y0 = self.roi["horizontal"]["y0"] + _length = self.roi["horizontal"]["length"] + _width = self.roi["horizontal"]["width"] _roi_id = pg.ROI([_x0, _y0], [_length, _width], pen=_pen, scaleSnap=True) self.ui.image_view.addItem(_roi_id) _roi_id.sigRegionChanged.connect(self.horizontal_roi_moved) self.horizontal_profile = _roi_id self.ui.image_view.addItem(self.horizontal_profile) - + ## right area - + # horizontal profile area self.ui.hori_profile = pg.PlotWidget() self.ui.hori_profile.plot() # slider and height label1 = QLabel("Length") hori_length = QSlider(QtCore.Qt.Horizontal) - hori_length.setMinimum(self.roi['horizontal']['min_length']) - hori_length.setMaximum(self.roi['horizontal']['max_length']) - hori_length.setValue(self.roi['horizontal']['length']) + hori_length.setMinimum(self.roi["horizontal"]["min_length"]) + hori_length.setMaximum(self.roi["horizontal"]["max_length"]) + hori_length.setValue(self.roi["horizontal"]["length"]) hori_length.valueChanged.connect(self.horizontal_slider_length_changed) self.horizontal_length_slider = hori_length label2 = QLabel("Width") hori_width = QSlider(QtCore.Qt.Horizontal) - hori_width.setMinimum(self.roi['horizontal']['min_width']) - hori_width.setMaximum(self.roi['horizontal']['max_width']) - hori_width.setValue(self.roi['horizontal']['width']) + hori_width.setMinimum(self.roi["horizontal"]["min_width"]) + hori_width.setMaximum(self.roi["horizontal"]["max_width"]) + hori_width.setValue(self.roi["horizontal"]["width"]) hori_width.valueChanged.connect(self.horizontal_slider_width_changed) self.horizontal_width_slider = hori_width - hori_layout= QHBoxLayout() + hori_layout = QHBoxLayout() hori_layout.addWidget(label1) hori_layout.addWidget(hori_length) hori_layout.addWidget(label2) @@ -311,16 +326,16 @@ def init_pyqtgraph(self): # slider and height label1 = QLabel("Length") verti_length = QSlider(QtCore.Qt.Horizontal) - verti_length.setMinimum(self.roi['vertical']['min_length']) - verti_length.setMaximum(self.roi['vertical']['max_length']) - verti_length.setValue(self.roi['vertical']['length']) + verti_length.setMinimum(self.roi["vertical"]["min_length"]) + verti_length.setMaximum(self.roi["vertical"]["max_length"]) + verti_length.setValue(self.roi["vertical"]["length"]) verti_length.valueChanged.connect(self.vertical_slider_length_changed) self.vertical_length_slider = verti_length label2 = QLabel("Width") verti_width = QSlider(QtCore.Qt.Horizontal) - verti_width.setMinimum(self.roi['vertical']['min_width']) - verti_width.setMaximum(self.roi['vertical']['max_width']) - verti_width.setValue(self.roi['vertical']['width']) + verti_width.setMinimum(self.roi["vertical"]["min_width"]) + verti_width.setMaximum(self.roi["vertical"]["max_width"]) + verti_width.setValue(self.roi["vertical"]["width"]) verti_width.valueChanged.connect(self.vertical_slider_width_changed) self.vertical_width_slider = verti_width verti_layout = QHBoxLayout() @@ -338,7 +353,7 @@ def init_pyqtgraph(self): d3.addWidget(full_verti_widget) # all peaks position - self.ui.peaks = pg.PlotWidget(title='Vertical and Horizontal Peaks') + self.ui.peaks = pg.PlotWidget(title="Vertical and Horizontal Peaks") self.ui.peaks.plot() d4.addWidget(self.ui.peaks) @@ -354,22 +369,22 @@ def init_reference_image(self): self.reference_image = self.parent.reference_image self.reference_image_short_name = self.parent.reference_image_short_name else: - self.reference_image = self.data_dict['data'][self.reference_image_index] - self.reference_image_short_name = os.path.basename(self.data_dict['file_name'][self.reference_image_index]) + self.reference_image = self.data_dict["data"][self.reference_image_index] + self.reference_image_short_name = os.path.basename(self.data_dict["file_name"][self.reference_image_index]) def init_table(self): data_dict = self.data_dict - _list_files = data_dict['file_name'] + _list_files = data_dict["file_name"] _short_list_files = [os.path.basename(_file) for _file in _list_files] self.ui.tableWidget.blockSignals(True) for _row, _file in enumerate(_short_list_files): self.ui.tableWidget.insertRow(_row) self.__set_item(_row, 0, _file) - self.__set_item(_row, 1, 'N/A') - self.__set_item(_row, 2, 'N/A') - self.__set_item(_row, 3, 'N/A') - self.__set_item(_row, 4, 'N/A') + self.__set_item(_row, 1, "N/A") + self.__set_item(_row, 2, "N/A") + self.__set_item(_row, 3, "N/A") + self.__set_item(_row, 4, "N/A") # select first row by default self._select_table_row(0) @@ -394,7 +409,7 @@ def update_table(self): # self.clear_table() data_dict = self.data_dict - _list_files = data_dict['file_name'] + _list_files = data_dict["file_name"] _short_list_files = [os.path.basename(_file) for _file in _list_files] peak = self.peak @@ -402,10 +417,10 @@ def update_table(self): self.ui.tableWidget.blockSignals(True) for _row, _file in enumerate(_short_list_files): - self.ui.tableWidget.item(_row, 1).setText(str(peak['horizontal'][_row])) - self.ui.tableWidget.item(_row, 2).setText(str(peak['vertical'][_row])) - self.ui.tableWidget.item(_row, 3).setText(str(offset['horizontal'][_row])) - self.ui.tableWidget.item(_row, 4).setText(str(offset['vertical'][_row])) + self.ui.tableWidget.item(_row, 1).setText(str(peak["horizontal"][_row])) + self.ui.tableWidget.item(_row, 2).setText(str(peak["vertical"][_row])) + self.ui.tableWidget.item(_row, 3).setText(str(offset["horizontal"][_row])) + self.ui.tableWidget.item(_row, 4).setText(str(offset["vertical"][_row])) # select first row by default self._select_table_row(0) @@ -435,7 +450,7 @@ def _check_widgets(self): # if last image selected, next button should be disabled nbr_row = self.ui.tableWidget.rowCount() - if selected_row == (nbr_row-1): + if selected_row == (nbr_row - 1): next_button_status = False else: next_button_status = True @@ -450,17 +465,17 @@ def _select_table_row(self, row): nbr_row = self.ui.tableWidget.rowCount() # clear previous selection - full_range = QTableWidgetSelectionRange(0, 0, nbr_row-1, nbr_col-1) + full_range = QTableWidgetSelectionRange(0, 0, nbr_row - 1, nbr_col - 1) self.ui.tableWidget.setRangeSelected(full_range, False) # select file of interest - selection_range = QTableWidgetSelectionRange(row, 0, row, nbr_col-1) + selection_range = QTableWidgetSelectionRange(row, 0, row, nbr_col - 1) self.ui.tableWidget.setRangeSelected(selection_range, True) self.ui.tableWidget.showRow(row) self.ui.tableWidget.blockSignals(False) - def __set_item(self, row=0, col=0, value=''): + def __set_item(self, row=0, col=0, value=""): item = QTableWidgetItem(str(value)) self.ui.tableWidget.setItem(row, col, item) if row == self.reference_image_index: @@ -476,7 +491,7 @@ def _get_selected_row(self): def _display_selected_row(self): selected_row = self._get_selected_row() - _image = self.data_dict['data'][selected_row] + _image = self.data_dict["data"][selected_row] # save and load histogram for consistancy between images _view = self.ui.image_view.getView() @@ -491,7 +506,7 @@ def _display_selected_row(self): ## display here according to transparency if selected_row != self.reference_image_index: _opacity_coefficient = self.ui.opacity_slider.value() # betwween 0 and 100 - _opacity_image = _opacity_coefficient / 100. + _opacity_image = _opacity_coefficient / 100.0 _image = np.transpose(_image) * _opacity_image _opacity_selected = 1 - _opacity_image @@ -508,23 +523,22 @@ def _display_selected_row(self): _view_box.setState(_state) if not first_update: - _histo_widget.setLevels(self.histogram_level[0], - self.histogram_level[1]) + _histo_widget.setLevels(self.histogram_level[0], self.histogram_level[1]) def replot_profile_lines(self, is_horizontal=False): if is_horizontal: roi_ui = self.horizontal_profile - dict_roi = self.roi['horizontal'] + dict_roi = self.roi["horizontal"] width_slider_ui = self.horizontal_width_slider length_slider_ui = self.horizontal_length_slider else: roi_ui = self.vertical_profile - dict_roi = self.roi['vertical'] + dict_roi = self.roi["vertical"] width_slider_ui = self.vertical_width_slider length_slider_ui = self.vertical_length_slider - x0 = dict_roi['x0'] - y0 = dict_roi['y0'] + x0 = dict_roi["x0"] + y0 = dict_roi["y0"] width = width_slider_ui.value() length = length_slider_ui.value() @@ -535,8 +549,8 @@ def replot_profile_lines(self, is_horizontal=False): else: roi_ui.setSize((width, length)) - dict_roi['length'] = length - dict_roi['width'] = width + dict_roi["length"] = length + dict_roi["width"] = width def update_selected_file_profile_plots(self, is_horizontal=True): index_selected = self._get_selected_row() @@ -545,54 +559,50 @@ def update_selected_file_profile_plots(self, is_horizontal=True): def update_single_profile(self, file_selected=-1, is_horizontal=True): if is_horizontal: profile_2d_ui = self.ui.hori_profile - label = 'horizontal' + label = "horizontal" else: profile_2d_ui = self.ui.verti_profile - label = 'vertical' + label = "vertical" # clear previous profile profile_2d_ui.clear() # always display the reference image - [xaxis, ref_profile] = self.get_profile(image_index=self.reference_image_index, - is_horizontal=is_horizontal) + [xaxis, ref_profile] = self.get_profile(image_index=self.reference_image_index, is_horizontal=is_horizontal) try: - profile_2d_ui.plot(xaxis, ref_profile, pen=self.roi[label]['color-peak']) - except Exception as e: + profile_2d_ui.plot(xaxis, ref_profile, pen=self.roi[label]["color-peak"]) + except Exception: pass if file_selected != self.reference_image_index: + [xaxis, selected_profile] = self.get_profile(image_index=file_selected, is_horizontal=is_horizontal) - [xaxis, selected_profile] = self.get_profile(image_index=file_selected, - is_horizontal=is_horizontal) - try: profile_2d_ui.plot(xaxis, selected_profile, pen=self.list_rgb_profile_color[file_selected]) - except Exception as e: + except Exception: pass def get_profile(self, image_index=0, is_horizontal=True): - if is_horizontal: - dict_roi = self.roi['horizontal'] - real_width_term = 'length' - real_height_term = 'width' + dict_roi = self.roi["horizontal"] + real_width_term = "length" + real_height_term = "width" else: - dict_roi = self.roi['vertical'] - real_width_term = 'width' - real_height_term = 'length' + dict_roi = self.roi["vertical"] + real_width_term = "width" + real_height_term = "length" - x0 = dict_roi['x0'] - y0 = dict_roi['y0'] + x0 = dict_roi["x0"] + y0 = dict_roi["y0"] width = dict_roi[real_width_term] height = dict_roi[real_height_term] x1 = width + x0 y1 = height + y0 - image = self.data_dict['data'][image_index] - #image = np.transpose(image) + image = self.data_dict["data"][image_index] + # image = np.transpose(image) image_cropped = image[y0:y1, x0:x1] if is_horizontal: @@ -611,7 +621,7 @@ def update_hori_verti_profile_plot_of_selected_file(self): self.update_selected_file_profile_plots(is_horizontal=False) def calculate_all_profiles(self): - nbr_files = len(self.data_dict['file_name']) + nbr_files = len(self.data_dict["file_name"]) for _row in np.arange(nbr_files): self.calculate_profile(file_index=_row, is_horizontal=True) self.calculate_profile(file_index=_row, is_horizontal=False) @@ -619,45 +629,45 @@ def calculate_all_profiles(self): def calculate_profile(self, file_index=-1, is_horizontal=True): if is_horizontal: [xaxis, profile] = self.get_profile(image_index=file_index, is_horizontal=True) - label = 'horizontal' + label = "horizontal" else: [xaxis, profile] = self.get_profile(image_index=file_index, is_horizontal=False) - label = 'vertical' + label = "vertical" _profile = {} - _profile['xaxis'] = xaxis - _profile['profile'] = profile + _profile["xaxis"] = xaxis + _profile["profile"] = profile - self.roi[label]['profiles'][str(file_index)] = _profile + self.roi[label]["profiles"][str(file_index)] = _profile def calculate_all_offsets(self): - horizontal_reference = self.peak['horizontal'][self.reference_image_index] - vertical_reference = self.peak['vertical'][self.reference_image_index] + horizontal_reference = self.peak["horizontal"][self.reference_image_index] + vertical_reference = self.peak["vertical"][self.reference_image_index] - nbr_files = len(self.data_dict['file_name']) + nbr_files = len(self.data_dict["file_name"]) for _row in np.arange(nbr_files): - xoffset = horizontal_reference - self.peak['horizontal'][_row] - yoffset = vertical_reference - self.peak['vertical'][_row] + xoffset = horizontal_reference - self.peak["horizontal"][_row] + yoffset = vertical_reference - self.peak["vertical"][_row] - self.offset['horizontal'][_row] = xoffset - self.offset['vertical'][_row] = yoffset + self.offset["horizontal"][_row] = xoffset + self.offset["vertical"][_row] = yoffset def calculate_all_peaks(self): - nbr_files = len(self.data_dict['file_name']) + nbr_files = len(self.data_dict["file_name"]) for _row in np.arange(nbr_files): self.calculate_peak(file_index=_row, is_horizontal=True) self.calculate_peak(file_index=_row, is_horizontal=False) def calculate_peak(self, file_index=-1, is_horizontal=True): if is_horizontal: - label = 'horizontal' + label = "horizontal" else: - label = 'vertical' + label = "vertical" - _profile = self.roi[label]['profiles'][str(file_index)] - yaxis = _profile['profile'] + _profile = self.roi[label]["profiles"][str(file_index)] + yaxis = _profile["profile"] - if self.peak_algorithm == 'change_point': + if self.peak_algorithm == "change_point": var = np.mean(yaxis) result = pelt(normal_var(yaxis, var), len(yaxis)) if len(result) > 2: @@ -667,39 +677,43 @@ def calculate_peak(self, file_index=-1, is_horizontal=True): peak_value = peak - else: # sliding average + else: # sliding average _o_range = MeanRangeCalculation(data=yaxis) nbr_pixels = len(yaxis) delta_array = [] - for _pixel in np.arange(0, nbr_pixels-5): + for _pixel in np.arange(0, nbr_pixels - 5): _o_range.calculate_left_right_mean(pixel=_pixel) _o_range.calculate_delta_mean_square() delta_array.append(_o_range.delta_square) - peak_value = delta_array.index(max(delta_array[0: nbr_pixels -5])) + peak_value = delta_array.index(max(delta_array[0 : nbr_pixels - 5])) self.peak[label][file_index] = int(peak_value) def plot_peaks(self): - xaxis = np.arange(len(self.data_dict['file_name'])) + xaxis = np.arange(len(self.data_dict["file_name"])) self.ui.peaks.clear() # horizontal - yaxis = self.peak['horizontal'] - self.ui.peaks.plot(xaxis, yaxis, - pen=self.roi['horizontal']['color-peak'], - symbolBrush=self.roi['horizontal']['color-peak'], - symbolPen=self.roi['symbol'], - ) + yaxis = self.peak["horizontal"] + self.ui.peaks.plot( + xaxis, + yaxis, + pen=self.roi["horizontal"]["color-peak"], + symbolBrush=self.roi["horizontal"]["color-peak"], + symbolPen=self.roi["symbol"], + ) # vertical - yaxis = self.peak['vertical'] - self.ui.peaks.plot(xaxis, yaxis, - pen=self.roi['vertical']['color-peak'], - symbolBrush = self.roi['vertical']['color-peak'], - symbolPen = self.roi['symbol'], - ) + yaxis = self.peak["vertical"] + self.ui.peaks.plot( + xaxis, + yaxis, + pen=self.roi["vertical"]["color-peak"], + symbolBrush=self.roi["vertical"]["color-peak"], + symbolPen=self.roi["symbol"], + ) def register_images(self): # self.calculate_markers_button_clicked() @@ -710,7 +724,7 @@ def register_images(self): self.ui.pushButton.setStyleSheet(interact_me_style) self.ui.registered_all_images_button.setStyleSheet(interact_me_style) - data = self.raw_data_dict['data'] + data = self.raw_data_dict["data"] nbr_steps = len(data) self.eventProgress.setValue(0) @@ -718,14 +732,13 @@ def register_images(self): self.eventProgress.setVisible(True) for _row, _data in enumerate(data): - - xoffset = self.offset['horizontal'][_row] - yoffset = self.offset['vertical'][_row] + xoffset = self.offset["horizontal"][_row] + yoffset = self.offset["vertical"][_row] new_data = shift(_data, (yoffset, xoffset)) - self.data_dict['data'][_row] = new_data - self.eventProgress.setValue(_row+1) + self.data_dict["data"][_row] = new_data + self.eventProgress.setValue(_row + 1) QApplication.processEvents() self.eventProgress.setVisible(False) @@ -733,13 +746,13 @@ def register_images(self): def calculate_and_display_current_peak(self, force_recalculation=True, is_horizontal=True): if is_horizontal: - label = 'horizontal' + label = "horizontal" else: - label = 'vertical' + label = "vertical" index_selected = self._get_selected_row() if not force_recalculation: - profile = self.roi[label]['profiles'] + profile = self.roi[label]["profiles"] if profile == {}: force_recalculation = True else: @@ -759,8 +772,7 @@ def calculate_and_display_current_peak(self, force_recalculation=True, is_horizo def recalculate_current_peak(self, file_index=-1, is_horizontal=True): try: - self.calculate_peak(file_index=file_index, - is_horizontal=is_horizontal) + self.calculate_peak(file_index=file_index, is_horizontal=is_horizontal) except ValueError: return @@ -768,24 +780,21 @@ def display_current_peak(self, is_horizontal=True): index_selected = self._get_selected_row() if is_horizontal: profile_2d_ui = roi_ui = self.ui.hori_profile - label = 'horizontal' + label = "horizontal" infinite_line_ui = self.hori_infinite_line_ui - offset = self.roi[label]['x0'] + offset = self.roi[label]["x0"] else: profile_2d_ui = roi_ui = self.ui.verti_profile - label = 'vertical' + label = "vertical" infinite_line_ui = self.verti_infinite_line_ui - offset = self.roi[label]['y0'] + offset = self.roi[label]["y0"] peak = self.peak[label][index_selected] + offset - if not (infinite_line_ui is None): + if infinite_line_ui is not None: profile_2d_ui.removeItem(infinite_line_ui) - infinite_line_ui = pg.InfiniteLine(angle=90, - movable=False, - pos=peak) - profile_2d_ui.addItem(infinite_line_ui, - ignoreBounds=True) + infinite_line_ui = pg.InfiniteLine(angle=90, movable=False, pos=peak) + profile_2d_ui.addItem(infinite_line_ui, ignoreBounds=True) if is_horizontal: self.hori_infinite_line_ui = infinite_line_ui @@ -805,7 +814,6 @@ def copy_register_parameters_to_main_table(self): target_col = _col - 2 self.parent.ui.tableWidget.item(_row, target_col).setText(source) - ## Event Handler def full_reset(self): @@ -824,13 +832,13 @@ def vertical_roi_moved(self): y0 = region[0][1].start y1 = region[0][1].stop - width = np.abs(x1-x0) - height = np.abs(y1-y0) - - self.roi['vertical']['x0'] = x0 - self.roi['vertical']['y0'] = y0 - self.roi['vertical']['width'] = width - self.roi['vertical']['length'] = height + width = np.abs(x1 - x0) + height = np.abs(y1 - y0) + + self.roi["vertical"]["x0"] = x0 + self.roi["vertical"]["y0"] = y0 + self.roi["vertical"]["width"] = width + self.roi["vertical"]["length"] = height self.update_selected_file_profile_plots(is_horizontal=False) self.calculate_and_display_current_peak(is_horizontal=False) @@ -845,13 +853,13 @@ def horizontal_roi_moved(self): y0 = region[0][1].start y1 = region[0][1].stop - width = np.abs(x1-x0) - height = np.abs(y1-y0) + width = np.abs(x1 - x0) + height = np.abs(y1 - y0) - self.roi['horizontal']['x0'] = x0 - self.roi['horizontal']['y0'] = y0 - self.roi['horizontal']['length'] = width - self.roi['horizontal']['width'] = height + self.roi["horizontal"]["x0"] = x0 + self.roi["horizontal"]["y0"] = y0 + self.roi["horizontal"]["length"] = width + self.roi["horizontal"]["width"] = height self.update_selected_file_profile_plots(is_horizontal=True) self.calculate_and_display_current_peak(is_horizontal=True) @@ -882,6 +890,7 @@ def calculate_profiles_differences(self): def help_button_clicked(self): import webbrowser + webbrowser.open("https://neutronimaging.ornl.gov/tutorials/imaging-notebooks/registration/") def slider_file_changed(self, value): @@ -893,7 +902,7 @@ def slider_file_changed(self, value): def previous_image_button_clicked(self): row_selected = self._get_selected_row() - self._select_table_row(row_selected-1) + self._select_table_row(row_selected - 1) self._check_widgets() self._display_selected_row() self.update_hori_verti_profile_plot_of_selected_file() @@ -901,7 +910,7 @@ def previous_image_button_clicked(self): def next_image_button_clicked(self): row_selected = self._get_selected_row() - self._select_table_row(row_selected+1) + self._select_table_row(row_selected + 1) self._check_widgets() self._display_selected_row() self.update_hori_verti_profile_plot_of_selected_file() @@ -929,14 +938,11 @@ def cancel_button_clicked(self): def export_button_clicked(self): """save registered images back to the main UI""" # self.registered_all_images_button_clicked() - _export_folder = QFileDialog.getExistingDirectory(self, - directory=self.working_dir, - caption="Select Output Folder", - options=QFileDialog.ShowDirsOnly) + _export_folder = QFileDialog.getExistingDirectory( + self, directory=self.working_dir, caption="Select Output Folder", options=QFileDialog.ShowDirsOnly + ) if _export_folder: - o_export = ExportRegistration(parent=self, - input_working_dir=self.working_dir, - export_folder=_export_folder) + o_export = ExportRegistration(parent=self, input_working_dir=self.working_dir, export_folder=_export_folder) o_export.run() QApplication.processEvents() @@ -979,11 +985,10 @@ def closeEvent(self, c): class SettingsLauncher: - parent = None def __init__(self, parent=None): - self.parent=parent + self.parent = parent if self.parent.settings_ui == None: set_ui = Settings(parent=parent) @@ -995,14 +1000,14 @@ def __init__(self, parent=None): class Settings(QMainWindow): - def __init__(self, parent=None): self.parent = parent super(QMainWindow, self).__init__(parent) - ui_full_path = os.path.join(os.path.dirname(os.path.dirname(os.path.dirname(__file__))), - os.path.join('ui', - 'ui_registration_profile_settings.ui')) + ui_full_path = os.path.join( + os.path.dirname(os.path.dirname(os.path.dirname(__file__))), + os.path.join("ui", "ui_registration_profile_settings.ui"), + ) self.ui = load_ui(ui_full_path, baseinstance=self) self.init_widgets() @@ -1018,10 +1023,10 @@ def ok_button_clicked(self): self.closeEvent() -class MeanRangeCalculation(object): - ''' +class MeanRangeCalculation: + """ Mean value of all the counts between left_pixel and right pixel - ''' + """ def __init__(self, data=None): self.data = data @@ -1031,24 +1036,23 @@ def calculate_left_right_mean(self, pixel=-1): _data = self.data _nbr_pixel = self.nbr_pixel - self.left_mean = np.nanmean(_data[0:pixel + 1]) - self.right_mean = np.nanmean(_data[pixel + 1:_nbr_pixel]) + self.left_mean = np.nanmean(_data[0 : pixel + 1]) + self.right_mean = np.nanmean(_data[pixel + 1 : _nbr_pixel]) def calculate_delta_mean_square(self): self.delta_square = np.square(self.left_mean - self.right_mean) -class ExportRegistration(object): - - def __init__(self, parent=None, input_working_dir="", export_folder=''): +class ExportRegistration: + def __init__(self, parent=None, input_working_dir="", export_folder=""): self.parent = parent self.input_dir_name = os.path.basename(input_working_dir) self.export_folder = export_folder def run(self): data_dict = copy.deepcopy(self.parent.data_dict) - list_file_names = data_dict['file_name'] - nbr_files = len(data_dict['data']) + list_file_names = data_dict["file_name"] + nbr_files = len(data_dict["data"]) self.parent.eventProgress.setMaximum(nbr_files) self.parent.eventProgress.setValue(0) @@ -1057,18 +1061,18 @@ def run(self): export_folder = os.path.join(self.export_folder, self.input_dir_name + "_registered") make_or_reset_folder(export_folder) - for _row, _data in enumerate(data_dict['data']): + for _row, _data in enumerate(data_dict["data"]): _filename = list_file_names[_row] _data_registered = np.array(_data) o_norm = Normalization() o_norm.load(data=_data_registered) - #o_norm.data['sample']['metadata'] = [data_dict['metadata'][_row]] - o_norm.data['sample']['metadata'] = [''] - o_norm.data['sample']['file_name'][0] = _filename - o_norm.export(folder=export_folder, data_type='sample') + # o_norm.data['sample']['metadata'] = [data_dict['metadata'][_row]] + o_norm.data["sample"]["metadata"] = [""] + o_norm.data["sample"]["file_name"][0] = _filename + o_norm.export(folder=export_folder, data_type="sample") - self.parent.eventProgress.setValue(_row+1) + self.parent.eventProgress.setValue(_row + 1) QApplication.processEvents() self.parent.eventProgress.setVisible(False) diff --git a/notebooks/__code/registration/table_handler.py b/notebooks/__code/registration/table_handler.py index 3f07ca35..04d9fa80 100755 --- a/notebooks/__code/registration/table_handler.py +++ b/notebooks/__code/registration/table_handler.py @@ -1,19 +1,17 @@ from qtpy.QtWidgets import QTableWidgetSelectionRange from __code._utilities.table_handler import TableHandler as UtilitiesTableHandler - -from __code.registration.event_handler import EventHandler -from __code.registration.display import Display from __code.registration.check import Check -from __code.registration.marker_handler import MarkerHandler +from __code.registration.display import Display +from __code.registration.event_handler import EventHandler from __code.registration.get import Get +from __code.registration.marker_handler import MarkerHandler class TableHandler(UtilitiesTableHandler): - def __init__(self, parent=None): self.parent = parent - + def table_row_clicked(self, row=-1): self.parent.ui.file_slider.blockSignals(True) if row == -1: @@ -45,7 +43,6 @@ def table_row_clicked(self, row=-1): self.parent.ui.file_slider.blockSignals(False) def select_row_in_table(self, row=0, user_selected_row=True): - if not user_selected_row: self.parent.ui.tableWidget.blockSignals(True) @@ -53,11 +50,11 @@ def select_row_in_table(self, row=0, user_selected_row=True): nbr_row = self.parent.ui.tableWidget.rowCount() # clear previous selection - full_range = QTableWidgetSelectionRange(0, 0, nbr_row-1, nbr_col-1) + full_range = QTableWidgetSelectionRange(0, 0, nbr_row - 1, nbr_col - 1) self.parent.ui.tableWidget.setRangeSelected(full_range, False) # select file of interest - selection_range = QTableWidgetSelectionRange(row, 0, row, nbr_col-1) + selection_range = QTableWidgetSelectionRange(row, 0, row, nbr_col - 1) self.parent.ui.tableWidget.setRangeSelected(selection_range, True) self.parent.ui.tableWidget.showRow(row) diff --git a/notebooks/__code/rename_files.py b/notebooks/__code/rename_files.py index 4b2a7654..4bb93a70 100755 --- a/notebooks/__code/rename_files.py +++ b/notebooks/__code/rename_files.py @@ -1,25 +1,26 @@ -from ipywidgets import widgets -from IPython.display import display, HTML import os -import numpy as np -from __code import utilities -from __code.ipywe import fileselector +from IPython.display import HTML, display +from ipywidgets import widgets + +from __code import utilities from __code.file_handler import ListMostDominantExtension +from __code.ipywe import fileselector from __code.ipywe.myfileselector import FileSelectorPanelWithJumpFolders -class FormatFileNameIndex(object): - - def __init__(self, working_dir=''): +class FormatFileNameIndex: + def __init__(self, working_dir=""): self.working_dir = working_dir def select_input_folder(self): - self.input_folder_ui = fileselector.FileSelectorPanel(instruction='Select Input Folder', - type='directory', - start_dir=self.working_dir, - next=self.next, - multiple=False) + self.input_folder_ui = fileselector.FileSelectorPanel( + instruction="Select Input Folder", + type="directory", + start_dir=self.working_dir, + next=self.next, + multiple=False, + ) self.input_folder_ui.show() def calculate_most_dominant_files(self): @@ -40,10 +41,10 @@ def next(self, input_folder): self.o_schema.show() -class NamingSchemaDefinition(object): - ext = '' +class NamingSchemaDefinition: + ext = "" list_files = [] - working_dir = '' + working_dir = "" ready_to_output = False @@ -54,15 +55,14 @@ def __init__(self, o_format=None): self.working_dir = o_format.working_dir if self.list_files: - _random_input_list = utilities.get_n_random_element(input_list=self.list_files, - n=10) + _random_input_list = utilities.get_n_random_element(input_list=self.list_files, n=10) self.random_input_list = [os.path.basename(_file) for _file in _random_input_list] self.basename = os.path.basename(self.list_files[0]) def current_naming_schema(self): pre_index_separator = self.box2.children[1].value - schema = "" + pre_index_separator + '' + self.ext + schema = "" + pre_index_separator + "" + self.ext return schema def new_naming_schema(self): @@ -74,7 +74,7 @@ def new_naming_schema(self): post_index_separator = self.box5.children[1].value nbr_digits = self.box7.children[1].value - schema = prefix + post_index_separator + nbr_digits * '#' + self.ext + schema = prefix + post_index_separator + nbr_digits * "#" + self.ext return schema def pre_index_text_changed(self, sender): @@ -86,15 +86,15 @@ def post_text_changed(self, sender): self.demo_output_file_name() def changed_use_previous_prefix_name(self, value): - self.user_new_prefix_widget.value = not value['new'] - self.new_prefix_text_widget.disabled = value['new'] + self.user_new_prefix_widget.value = not value["new"] + self.new_prefix_text_widget.disabled = value["new"] self.post_text_changed(None) def changed_use_new_prefix_name(self, value=[]): if value == []: _value = self.user_new_prefix_widget.value else: - _value = value['new'] + _value = value["new"] self.use_previous_prefix_widget.value = not _value self.new_prefix_text_widget.disabled = not _value self.post_text_changed(None) @@ -111,9 +111,9 @@ def change_int_range_slider(self, value=[]): if value == []: [start_index, end_index] = self.int_range_slider.value else: - [start_index, end_index] = value['new'] + [start_index, end_index] = value["new"] basename = self.get_basename_of_current_dropdown_selected_file() - new_basename = basename[start_index: end_index + 1] + new_basename = basename[start_index : end_index + 1] self.basename_selected_by_user.value = new_basename # update in the second ui @@ -124,107 +124,120 @@ def random_input_checkbox_value_changed(self, value): self.change_int_range_slider() def show(self): - # current schema name - self.box2 = widgets.HBox([widgets.Label("Pre. Index Separator", - layout=widgets.Layout(width='15%')), - widgets.Text(value='_', - layout=widgets.Layout(width='5%'))]) - - self.box2b = widgets.HBox([widgets.Label("Untouched filename part:", - layout=widgets.Layout(width="20%")), - widgets.Label("", - layout=widgets.Layout(width='40%')), - widgets.IntRangeSlider(value=[0, 2], - min=0, - max=len(self.basename), - step=1)]) + self.box2 = widgets.HBox( + [ + widgets.Label("Pre. Index Separator", layout=widgets.Layout(width="15%")), + widgets.Text(value="_", layout=widgets.Layout(width="5%")), + ] + ) + + self.box2b = widgets.HBox( + [ + widgets.Label("Untouched filename part:", layout=widgets.Layout(width="20%")), + widgets.Label("", layout=widgets.Layout(width="40%")), + widgets.IntRangeSlider(value=[0, 2], min=0, max=len(self.basename), step=1), + ] + ) self.int_range_slider = self.box2b.children[2] - self.int_range_slider.observe(self.change_int_range_slider, names='value') + self.int_range_slider.observe(self.change_int_range_slider, names="value") self.basename_selected_by_user = self.box2b.children[1] - self.box4 = widgets.HBox([widgets.Label("Current Name Schema: ", - layout=widgets.Layout(width='20%')), - widgets.Label(self.current_naming_schema(), - layout=widgets.Layout(width='30%')), - widgets.Label("Random Input:", - layout=widgets.Layout(width='15%')), - widgets.Dropdown(options=self.random_input_list, - value=self.random_input_list[0], - layout=widgets.Layout(width='50%')) - ]) - - self.box2.children[1].on_trait_change(self.pre_index_text_changed, 'value') + self.box4 = widgets.HBox( + [ + widgets.Label("Current Name Schema: ", layout=widgets.Layout(width="20%")), + widgets.Label(self.current_naming_schema(), layout=widgets.Layout(width="30%")), + widgets.Label("Random Input:", layout=widgets.Layout(width="15%")), + widgets.Dropdown( + options=self.random_input_list, value=self.random_input_list[0], layout=widgets.Layout(width="50%") + ), + ] + ) + + self.box2.children[1].on_trait_change(self.pre_index_text_changed, "value") before = widgets.VBox([self.box2, self.box2b, self.box4]) self.random_input_checkbox = self.box4.children[3] - self.random_input_checkbox.observe(self.random_input_checkbox_value_changed, 'value') + self.random_input_checkbox.observe(self.random_input_checkbox_value_changed, "value") # new naming schema - box_text_width = '10%' - self.box1 = widgets.HBox([widgets.Label("New prefix File Name", - layout=widgets.Layout(width='10%')), - widgets.Checkbox(value=True, - description='Use previous prefix name', - layout=widgets.Layout(width='30%'))]) + box_text_width = "10%" + self.box1 = widgets.HBox( + [ + widgets.Label("New prefix File Name", layout=widgets.Layout(width="10%")), + widgets.Checkbox( + value=True, description="Use previous prefix name", layout=widgets.Layout(width="30%") + ), + ] + ) self.use_previous_prefix_widget = self.box1.children[1] - self.box1.children[1].observe(self.changed_use_previous_prefix_name, names='value') - - self.box1b = widgets.HBox([widgets.Label("", - layout=widgets.Layout(width='10%')), - widgets.Checkbox(value=False, - description='Use new prefix', - layout=widgets.Layout(width='20%')), - widgets.Text(value='image', - disabled=True, - layout=widgets.Layout(width='25%'))]) - self.box1b.children[2].observe(self.changed_use_new_prefix_name, names='value') + self.box1.children[1].observe(self.changed_use_previous_prefix_name, names="value") + + self.box1b = widgets.HBox( + [ + widgets.Label("", layout=widgets.Layout(width="10%")), + widgets.Checkbox(value=False, description="Use new prefix", layout=widgets.Layout(width="20%")), + widgets.Text(value="image", disabled=True, layout=widgets.Layout(width="25%")), + ] + ) + self.box1b.children[2].observe(self.changed_use_new_prefix_name, names="value") self.new_prefix_text_widget = self.box1b.children[2] self.user_new_prefix_widget = self.box1b.children[1] - self.user_new_prefix_widget.observe(self.changed_use_new_prefix_name, names='value') - - self.box5 = widgets.HBox([widgets.Label("New Index Separator", - layout=widgets.Layout(width='15%')), - widgets.Text(value='_', - layout=widgets.Layout(width=box_text_width))]) - - self.box7 = widgets.HBox([widgets.Label("Number of digits", - layout=widgets.Layout(width='15%')), - widgets.IntText(value=4, - layout=widgets.Layout(width=box_text_width))]) - - self.box8 = widgets.HBox([widgets.Label("Offset", - layout=widgets.Layout(width='15%')), - widgets.IntText(value=0, - layout=widgets.Layout(width=box_text_width))]) - - self.box6 = widgets.HBox([widgets.Label("New Name Schema: ", - layout=widgets.Layout(width='20%')), - widgets.Label(self.new_naming_schema(), - layout=widgets.Layout(width='40%'))]) - - self.box1.children[1].on_trait_change(self.post_text_changed, 'value') - self.box5.children[1].on_trait_change(self.post_text_changed, 'value') - self.box7.children[1].on_trait_change(self.post_text_changed, 'value') - self.box8.children[1].on_trait_change(self.post_text_changed, 'value') + self.user_new_prefix_widget.observe(self.changed_use_new_prefix_name, names="value") + + self.box5 = widgets.HBox( + [ + widgets.Label("New Index Separator", layout=widgets.Layout(width="15%")), + widgets.Text(value="_", layout=widgets.Layout(width=box_text_width)), + ] + ) + + self.box7 = widgets.HBox( + [ + widgets.Label("Number of digits", layout=widgets.Layout(width="15%")), + widgets.IntText(value=4, layout=widgets.Layout(width=box_text_width)), + ] + ) + + self.box8 = widgets.HBox( + [ + widgets.Label("Offset", layout=widgets.Layout(width="15%")), + widgets.IntText(value=0, layout=widgets.Layout(width=box_text_width)), + ] + ) + + self.box6 = widgets.HBox( + [ + widgets.Label("New Name Schema: ", layout=widgets.Layout(width="20%")), + widgets.Label(self.new_naming_schema(), layout=widgets.Layout(width="40%")), + ] + ) + + self.box1.children[1].on_trait_change(self.post_text_changed, "value") + self.box5.children[1].on_trait_change(self.post_text_changed, "value") + self.box7.children[1].on_trait_change(self.post_text_changed, "value") + self.box8.children[1].on_trait_change(self.post_text_changed, "value") after = widgets.VBox([self.box1, self.box1b, self.box5, self.box7, self.box8, self.box6]) accordion = widgets.Accordion(children=[before, after]) - accordion.set_title(0, 'Current Schema Name') - accordion.set_title(1, 'New Naming Schema') + accordion.set_title(0, "Current Schema Name") + accordion.set_title(1, "New Naming Schema") - output_ui_1 = widgets.HBox([widgets.Label("Example of naming: ", - layout=widgets.Layout(width='20%'))]) + output_ui_1 = widgets.HBox([widgets.Label("Example of naming: ", layout=widgets.Layout(width="20%"))]) - self.output_ui_2 = widgets.HBox([widgets.Label("Old name: ", - layout=widgets.Layout(width='40%')), - widgets.Label("", - layout=widgets.Layout(width='60%'))]) + self.output_ui_2 = widgets.HBox( + [ + widgets.Label("Old name: ", layout=widgets.Layout(width="40%")), + widgets.Label("", layout=widgets.Layout(width="60%")), + ] + ) - self.output_ui_3 = widgets.HBox([widgets.Label("New name: ", - layout=widgets.Layout(width='40%')), - widgets.Label("", - layout=widgets.Layout(width='60%'))]) + self.output_ui_3 = widgets.HBox( + [ + widgets.Label("New name: ", layout=widgets.Layout(width="40%")), + widgets.Label("", layout=widgets.Layout(width="60%")), + ] + ) self.output_ui_3.children[1].add_class("result_label") vbox = widgets.VBox([accordion, output_ui_1, self.output_ui_2, self.output_ui_3]) @@ -246,7 +259,8 @@ def demo_output_file_name(self): [start_index, end_index] = self.int_range_slider.value try: - display(HTML(""" + display( + HTML(""" - """)) - - new_name = self.generate_new_file_name(input_file, - start_index, - end_index, - old_index_separator, - new_prefix_name, - new_index_separator, - new_number_of_digits, - offset) + """) + ) + + new_name = self.generate_new_file_name( + input_file, + start_index, + end_index, + old_index_separator, + new_prefix_name, + new_index_separator, + new_number_of_digits, + offset, + ) self.ready_to_output = True except ValueError: - - display(HTML(""" + display( + HTML(""" - """)) + """) + ) - new_name = 'ERROR while generating new file name!' + new_name = "ERROR while generating new file name!" self.ready_to_output = False @@ -301,32 +319,31 @@ def get_new_index_separator(self): def get_new_number_of_digits(self): return self.box7.children[1].value - def generate_new_file_name(self, old_file_name, - start_index, - end_index, - old_index_separator, - new_prefix_name, - new_index_separator, - new_number_of_digits, - offset): - + def generate_new_file_name( + self, + old_file_name, + start_index, + end_index, + old_index_separator, + new_prefix_name, + new_index_separator, + new_number_of_digits, + offset, + ): [_pre_extension, _ext] = os.path.splitext(old_file_name) _name_separated = _pre_extension.split(old_index_separator) if self.user_new_prefix_widget.value == True: prefix = new_prefix_name else: - prefix = old_file_name[start_index: end_index + 1] + prefix = old_file_name[start_index : end_index + 1] try: - _index = np.int(_name_separated[-1]) + offset - new_name = prefix + new_index_separator + \ - '{:0{}}'.format(_index, new_number_of_digits) + \ - self.ext + _index = int(_name_separated[-1]) + offset + new_name = prefix + new_index_separator + "{:0{}}".format(_index, new_number_of_digits) + self.ext except ValueError: _index = _name_separated[-1] - new_name = prefix + new_index_separator + \ - _index + self.ext + new_name = prefix + new_index_separator + _index + self.ext return new_name @@ -348,55 +365,63 @@ def get_dict_old_new_filenames(self): new_list = {} for _file_index, _file in enumerate(list_of_input_basename_files): - new_name = self.generate_new_file_name(_file, - start_index, - end_index, - old_index_separator, - new_prefix_name, - new_index_separator, - new_number_of_digits, - offset) + new_name = self.generate_new_file_name( + _file, + start_index, + end_index, + old_index_separator, + new_prefix_name, + new_index_separator, + new_number_of_digits, + offset, + ) new_list[list_of_input_files[_file_index]] = new_name - renaming_result.append("{} \t --> \t {}".format(_file, new_name)) + renaming_result.append(f"{_file} \t --> \t {new_name}") self.renaming_result = renaming_result return new_list def select_export_folder(self): - if self.ready_to_output: - self.output_folder_ui = FileSelectorPanelWithJumpFolders(instruction='Select Output Folder', - start_dir=self.working_dir, - multiple=False, - next=self.export, - newdir_toolbar_button=True, - type='directory') + self.output_folder_ui = FileSelectorPanelWithJumpFolders( + instruction="Select Output Folder", + start_dir=self.working_dir, + multiple=False, + next=self.export, + newdir_toolbar_button=True, + type="directory", + ) else: display(HTML('You need to fix the namig convention first!')) def export(self, selected): - self.output_folder_ui.shortcut_buttons.close() dict_old_new_names = self.get_dict_old_new_filenames() new_output_folder = os.path.abspath(selected) - utilities.copy_files(dict_old_new_names=dict_old_new_names, - new_output_folder=new_output_folder, - overwrite=False) + utilities.copy_files( + dict_old_new_names=dict_old_new_names, new_output_folder=new_output_folder, overwrite=False + ) self.new_list_files = dict_old_new_names self.display_renaming_result(selected) def display_renaming_result(self, selected): - - display(HTML('Following files have been created in folder: ' + - selected + '')) - - result = widgets.HBox([widgets.Label("Renmaing results: ", - layout=widgets.Layout(width='20%')), - widgets.Dropdown(options=self.renaming_result, - value=self.renaming_result[0], - layout=widgets.Layout(width='80%')) - ]) + display( + HTML( + 'Following files have been created in folder: ' + + selected + + "" + ) + ) + + result = widgets.HBox( + [ + widgets.Label("Renmaing results: ", layout=widgets.Layout(width="20%")), + widgets.Dropdown( + options=self.renaming_result, value=self.renaming_result[0], layout=widgets.Layout(width="80%") + ), + ] + ) display(result) diff --git a/notebooks/__code/rename_files/rename_files.py b/notebooks/__code/rename_files/rename_files.py index b71633a9..6dd23a9a 100755 --- a/notebooks/__code/rename_files/rename_files.py +++ b/notebooks/__code/rename_files/rename_files.py @@ -1,24 +1,22 @@ -from ipywidgets import widgets -from IPython.display import display, HTML import os -import numpy as np + +from IPython.display import HTML, display +from ipywidgets import widgets + from __code import utilities +from __code._utilities.file import get_file_extension from __code.ipywe import fileselector - -from __code.file_handler import ListMostDominantExtension from __code.ipywe.myfileselector import FileSelectorPanelWithJumpFolders -from __code._utilities.file import get_list_of_files, get_list_file_extensions, get_file_extension class FormatFileNameIndex: - - def __init__(self, working_dir=''): + def __init__(self, working_dir=""): self.working_dir = working_dir def select_input_files(self): - self.input_files_ui = fileselector.FileSelectorPanel(instruction='Select List of Files', - start_dir=self.working_dir, - multiple=True) + self.input_files_ui = fileselector.FileSelectorPanel( + instruction="Select List of Files", start_dir=self.working_dir, multiple=True + ) self.input_files_ui.show() # def calculate_most_dominant_files(self): @@ -51,7 +49,6 @@ def select_input_files(self): # self.o_schema.show() def define_new_naming_schema(self): - list_of_files = self.input_files_ui.selected if list_of_files: @@ -64,11 +61,11 @@ def define_new_naming_schema(self): class NamingSchemaDefinition: - ext = '' + ext = "" list_files = [] - working_dir = '' - str_ext = '' - input_folder = '' + working_dir = "" + str_ext = "" + input_folder = "" ready_to_output = False @@ -83,15 +80,14 @@ def __init__(self, o_format=None): raise ValueError("FormatFileNameIndex object is missing!") if self.list_files: - _random_input_list = utilities.get_n_random_element(input_list=self.list_files, - n=10) + _random_input_list = utilities.get_n_random_element(input_list=self.list_files, n=10) self.random_input_list = [os.path.basename(_file) for _file in _random_input_list] self.basename = os.path.basename(self.list_files[0]) def current_naming_schema(self): pre_index_separator = self.box2.children[1].value - schema = "" + pre_index_separator + '' + self.str_ext + schema = "" + pre_index_separator + "" + self.str_ext return schema def new_naming_schema(self): @@ -104,7 +100,7 @@ def new_naming_schema(self): if self.suffix_box2.children[1].value: suffix = self.suffix_box2.children[2].value else: - suffix = nbr_digits * '#' + suffix = nbr_digits * "#" ext = self.box9.children[1].value @@ -121,29 +117,29 @@ def post_text_changed(self, sender): self.demo_output_file_name() def changed_use_previous_prefix_name(self, value): - self.user_new_prefix_widget.value = not value['new'] - self.new_prefix_text_widget.disabled = value['new'] + self.user_new_prefix_widget.value = not value["new"] + self.new_prefix_text_widget.disabled = value["new"] self.post_text_changed(None) def changed_use_new_prefix_name(self, value=[]): if value == []: _value = self.user_new_prefix_widget.value else: - _value = value['new'] + _value = value["new"] self.use_previous_prefix_widget.value = not _value self.new_prefix_text_widget.disabled = not _value self.post_text_changed(None) def changed_use_digit_suffix_name(self, value=[]): - self.user_new_suffix_widget.value = not value['new'] - self.new_suffix_text_widget.disabled = value['new'] + self.user_new_suffix_widget.value = not value["new"] + self.new_suffix_text_widget.disabled = value["new"] self.post_text_changed(None) def changed_use_new_suffix_name(self, value=[]): if value == []: _value = self.user_new_suffix_widget.value else: - _value = value['new'] + _value = value["new"] self.use_digit_suffix_widget.value = not _value self.new_suffix_text_widget.disabled = not _value self.post_text_changed(None) @@ -160,9 +156,9 @@ def change_int_range_slider(self, value=[]): if value == []: [start_index, end_index] = self.int_range_slider.value else: - [start_index, end_index] = value['new'] + [start_index, end_index] = value["new"] basename = self.get_basename_of_current_dropdown_selected_file() - new_basename = basename[start_index: end_index + 1] + new_basename = basename[start_index : end_index + 1] self.basename_selected_by_user.value = new_basename # update in the second ui @@ -173,139 +169,162 @@ def random_input_checkbox_value_changed(self, value): self.change_int_range_slider() def show(self): - # current schema name - self.box2 = widgets.HBox([widgets.Label("Pre. Index Separator", - layout=widgets.Layout(width='15%')), - widgets.Text(value='_', - layout=widgets.Layout(width='5%'))]) - - self.box2b = widgets.HBox([widgets.Label("Untouched filename part:", - layout=widgets.Layout(width="20%")), - widgets.Label("", - layout=widgets.Layout(width='40%')), - widgets.IntRangeSlider(value=[0, 2], - min=0, - max=len(self.basename), - step=1)]) + self.box2 = widgets.HBox( + [ + widgets.Label("Pre. Index Separator", layout=widgets.Layout(width="15%")), + widgets.Text(value="_", layout=widgets.Layout(width="5%")), + ] + ) + + self.box2b = widgets.HBox( + [ + widgets.Label("Untouched filename part:", layout=widgets.Layout(width="20%")), + widgets.Label("", layout=widgets.Layout(width="40%")), + widgets.IntRangeSlider(value=[0, 2], min=0, max=len(self.basename), step=1), + ] + ) self.int_range_slider = self.box2b.children[2] - self.int_range_slider.observe(self.change_int_range_slider, names='value') + self.int_range_slider.observe(self.change_int_range_slider, names="value") self.basename_selected_by_user = self.box2b.children[1] - self.box4 = widgets.HBox([widgets.Label("Current Name Schema: ", - layout=widgets.Layout(width='20%')), - widgets.Label(self.current_naming_schema(), - layout=widgets.Layout(width='30%')), - widgets.Label("Random Input:", - layout=widgets.Layout(width='15%')), - widgets.Dropdown(options=self.random_input_list, - value=self.random_input_list[0], - layout=widgets.Layout(width='50%')) - ]) - - self.box2.children[1].on_trait_change(self.pre_index_text_changed, 'value') + self.box4 = widgets.HBox( + [ + widgets.Label("Current Name Schema: ", layout=widgets.Layout(width="20%")), + widgets.Label(self.current_naming_schema(), layout=widgets.Layout(width="30%")), + widgets.Label("Random Input:", layout=widgets.Layout(width="15%")), + widgets.Dropdown( + options=self.random_input_list, value=self.random_input_list[0], layout=widgets.Layout(width="50%") + ), + ] + ) + + self.box2.children[1].on_trait_change(self.pre_index_text_changed, "value") before = widgets.VBox([self.box2, self.box2b, self.box4]) self.random_input_checkbox = self.box4.children[3] - self.random_input_checkbox.observe(self.random_input_checkbox_value_changed, 'value') + self.random_input_checkbox.observe(self.random_input_checkbox_value_changed, "value") # new naming schema - box_text_width = '10%' - self.box1 = widgets.HBox([widgets.Label("New prefix File Name", - layout=widgets.Layout(width='20%')), - widgets.Checkbox(value=True, - description='Use previous prefix name', - layout=widgets.Layout(width='30%'))]) + box_text_width = "10%" + self.box1 = widgets.HBox( + [ + widgets.Label("New prefix File Name", layout=widgets.Layout(width="20%")), + widgets.Checkbox( + value=True, description="Use previous prefix name", layout=widgets.Layout(width="30%") + ), + ] + ) self.use_previous_prefix_widget = self.box1.children[1] - self.box1.children[1].observe(self.changed_use_previous_prefix_name, names='value') - - self.box1b = widgets.HBox([widgets.Label("", - layout=widgets.Layout(width='20%')), - widgets.Checkbox(value=False, - description='Use new prefix', - layout=widgets.Layout(width='20%')), - widgets.Text(value='image', - disabled=True, - layout=widgets.Layout(width='25%'))]) - self.box1b.children[2].observe(self.changed_use_new_prefix_name, names='value') + self.box1.children[1].observe(self.changed_use_previous_prefix_name, names="value") + + self.box1b = widgets.HBox( + [ + widgets.Label("", layout=widgets.Layout(width="20%")), + widgets.Checkbox(value=False, description="Use new prefix", layout=widgets.Layout(width="20%")), + widgets.Text(value="image", disabled=True, layout=widgets.Layout(width="25%")), + ] + ) + self.box1b.children[2].observe(self.changed_use_new_prefix_name, names="value") self.new_prefix_text_widget = self.box1b.children[2] self.user_new_prefix_widget = self.box1b.children[1] - self.user_new_prefix_widget.observe(self.changed_use_new_prefix_name, names='value') - - - - - self.suffix_box1 = widgets.HBox([widgets.Label("New suffix File Name", - layout=widgets.Layout(width='20%')), - widgets.Checkbox(value=True, - description='Use digit suffix', - layout=widgets.Layout(width='30%'))]) + self.user_new_prefix_widget.observe(self.changed_use_new_prefix_name, names="value") + + self.suffix_box1 = widgets.HBox( + [ + widgets.Label("New suffix File Name", layout=widgets.Layout(width="20%")), + widgets.Checkbox(value=True, description="Use digit suffix", layout=widgets.Layout(width="30%")), + ] + ) self.use_digit_suffix_widget = self.suffix_box1.children[1] - self.suffix_box1.children[1].observe(self.changed_use_digit_suffix_name, names='value') - - self.suffix_box2 = widgets.HBox([widgets.Label("", - layout=widgets.Layout(width='20%')), - widgets.Checkbox(value=False, - description='Use new suffix', - layout=widgets.Layout(width='20%')), - widgets.Text(value='', - disabled=True, - layout=widgets.Layout(width='25%'))]) - self.suffix_box2.children[2].observe(self.changed_use_new_suffix_name, names='value') + self.suffix_box1.children[1].observe(self.changed_use_digit_suffix_name, names="value") + + self.suffix_box2 = widgets.HBox( + [ + widgets.Label("", layout=widgets.Layout(width="20%")), + widgets.Checkbox(value=False, description="Use new suffix", layout=widgets.Layout(width="20%")), + widgets.Text(value="", disabled=True, layout=widgets.Layout(width="25%")), + ] + ) + self.suffix_box2.children[2].observe(self.changed_use_new_suffix_name, names="value") self.user_new_suffix_widget = self.suffix_box2.children[1] self.new_suffix_text_widget = self.suffix_box2.children[2] - self.user_new_suffix_widget.observe(self.changed_use_new_suffix_name, names='value') - - self.box5 = widgets.HBox([widgets.Label("New Index Separator", - layout=widgets.Layout(width='15%')), - widgets.Text(value='_', - layout=widgets.Layout(width=box_text_width))]) - - self.box7 = widgets.HBox([widgets.Label("Number of digits", - layout=widgets.Layout(width='15%')), - widgets.IntText(value=4, - layout=widgets.Layout(width=box_text_width))]) - - self.box8 = widgets.HBox([widgets.Label("Offset", - layout=widgets.Layout(width='15%')), - widgets.IntText(value=0, - layout=widgets.Layout(width=box_text_width))]) - - current_ext = self.str_ext - self.box9 = widgets.HBox([widgets.Label("Extension", - layout=widgets.Layout(width='15%')), - widgets.Text(value=current_ext, - layout=widgets.Layout(width=box_text_width))]) - - self.box6 = widgets.HBox([widgets.Label("New Name Schema: ", - layout=widgets.Layout(width='20%')), - widgets.Label(self.new_naming_schema(), - layout=widgets.Layout(width='40%'))]) - - self.box1.children[1].on_trait_change(self.post_text_changed, 'value') - self.box5.children[1].on_trait_change(self.post_text_changed, 'value') - self.box7.children[1].on_trait_change(self.post_text_changed, 'value') - self.box8.children[1].on_trait_change(self.post_text_changed, 'value') - self.box9.children[1].on_trait_change(self.post_text_changed, 'value') + self.user_new_suffix_widget.observe(self.changed_use_new_suffix_name, names="value") + + self.box5 = widgets.HBox( + [ + widgets.Label("New Index Separator", layout=widgets.Layout(width="15%")), + widgets.Text(value="_", layout=widgets.Layout(width=box_text_width)), + ] + ) + + self.box7 = widgets.HBox( + [ + widgets.Label("Number of digits", layout=widgets.Layout(width="15%")), + widgets.IntText(value=4, layout=widgets.Layout(width=box_text_width)), + ] + ) + + self.box8 = widgets.HBox( + [ + widgets.Label("Offset", layout=widgets.Layout(width="15%")), + widgets.IntText(value=0, layout=widgets.Layout(width=box_text_width)), + ] + ) - after = widgets.VBox([self.box1, self.box1b, self.suffix_box1, self.suffix_box2, - self.box5, self.box7, self.box8, self.box9, self.box6]) + current_ext = self.str_ext + self.box9 = widgets.HBox( + [ + widgets.Label("Extension", layout=widgets.Layout(width="15%")), + widgets.Text(value=current_ext, layout=widgets.Layout(width=box_text_width)), + ] + ) + + self.box6 = widgets.HBox( + [ + widgets.Label("New Name Schema: ", layout=widgets.Layout(width="20%")), + widgets.Label(self.new_naming_schema(), layout=widgets.Layout(width="40%")), + ] + ) + + self.box1.children[1].on_trait_change(self.post_text_changed, "value") + self.box5.children[1].on_trait_change(self.post_text_changed, "value") + self.box7.children[1].on_trait_change(self.post_text_changed, "value") + self.box8.children[1].on_trait_change(self.post_text_changed, "value") + self.box9.children[1].on_trait_change(self.post_text_changed, "value") + + after = widgets.VBox( + [ + self.box1, + self.box1b, + self.suffix_box1, + self.suffix_box2, + self.box5, + self.box7, + self.box8, + self.box9, + self.box6, + ] + ) accordion = widgets.Accordion(children=[before, after]) - accordion.set_title(0, 'Current Schema Name') - accordion.set_title(1, 'New Naming Schema') + accordion.set_title(0, "Current Schema Name") + accordion.set_title(1, "New Naming Schema") - output_ui_1 = widgets.HBox([widgets.Label("Example of naming: ", - layout=widgets.Layout(width='20%'))]) + output_ui_1 = widgets.HBox([widgets.Label("Example of naming: ", layout=widgets.Layout(width="20%"))]) - self.output_ui_2 = widgets.HBox([widgets.Label("Old name: ", - layout=widgets.Layout(width='40%')), - widgets.Label("", - layout=widgets.Layout(width='60%'))]) + self.output_ui_2 = widgets.HBox( + [ + widgets.Label("Old name: ", layout=widgets.Layout(width="40%")), + widgets.Label("", layout=widgets.Layout(width="60%")), + ] + ) - self.output_ui_3 = widgets.HBox([widgets.Label("New name: ", - layout=widgets.Layout(width='40%')), - widgets.Label("", - layout=widgets.Layout(width='60%'))]) + self.output_ui_3 = widgets.HBox( + [ + widgets.Label("New name: ", layout=widgets.Layout(width="40%")), + widgets.Label("", layout=widgets.Layout(width="60%")), + ] + ) self.output_ui_3.children[1].add_class("result_label") vbox = widgets.VBox([accordion, output_ui_1, self.output_ui_2, self.output_ui_3]) @@ -319,7 +338,6 @@ def demo_output_file_name(self): input_file = self.get_basename_of_current_dropdown_selected_file(is_with_ext=False) self.output_ui_2.children[1].value = input_file - new_name = self.box6.children[1].value self.output_ui_3.children[1].value = new_name @@ -339,9 +357,9 @@ def demo_output_file_name(self): print(f"{new_index_separator=}, {new_number_of_digits=}, {offset=}, {ext=}") print(f"{start_index=}, {end_index=}") - try: - display(HTML(""" + display( + HTML(""" - """)) - - new_name = self.generate_new_file_name(input_file, - start_index, - end_index, - old_index_separator, - new_prefix_name, - new_index_separator, - new_number_of_digits, - offset, - ext) + """) + ) + + new_name = self.generate_new_file_name( + input_file, + start_index, + end_index, + old_index_separator, + new_prefix_name, + new_index_separator, + new_number_of_digits, + offset, + ext, + ) self.ready_to_output = True except ValueError: - - display(HTML(""" + display( + HTML(""" - """)) + """) + ) - new_name = 'ERROR while generating new file name!' + new_name = "ERROR while generating new file name!" self.ready_to_output = False @@ -397,19 +419,21 @@ def get_new_index_separator(self): def get_new_number_of_digits(self): return self.box7.children[1].value - def generate_new_file_name(self, old_file_name, - file_index, - start_index, - end_index, - old_index_separator, - new_prefix_name, - new_index_separator, - new_number_of_digits, - offset, - suffix_flag, - suffix, - ext): - + def generate_new_file_name( + self, + old_file_name, + file_index, + start_index, + end_index, + old_index_separator, + new_prefix_name, + new_index_separator, + new_number_of_digits, + offset, + suffix_flag, + suffix, + ext, + ): file_index += offset [_pre_extension, _] = os.path.splitext(old_file_name) @@ -419,19 +443,17 @@ def generate_new_file_name(self, old_file_name, if self.user_new_prefix_widget.value == True: prefix = new_prefix_name else: - prefix = old_file_name[start_index: end_index + 1] + prefix = old_file_name[start_index : end_index + 1] # try: - # print(f"Trying to parse index from {_name_separated[-1]}") - # _index = int(_name_separated[-1]) + offset - # print(f"Parsed index: {_index}") + # print(f"Trying to parse index from {_name_separated[-1]}") + # _index = int(_name_separated[-1]) + offset + # print(f"Parsed index: {_index}") if suffix_flag: - new_name = prefix + \ - new_index_separator + suffix + ext + new_name = prefix + new_index_separator + suffix + ext else: - new_name = prefix + new_index_separator + \ - '{:0{}}'.format(file_index, new_number_of_digits) + ext - + new_name = prefix + new_index_separator + "{:0{}}".format(file_index, new_number_of_digits) + ext + # except ValueError: # # print(f"Could not parse index from {_name_separated[-1]}") # # _index = _name_separated[-1] @@ -466,63 +488,67 @@ def get_dict_old_new_filenames(self): new_list = {} for _file_index, _file in enumerate(list_of_input_basename_files): + new_name = self.generate_new_file_name( + _file, + _file_index, + start_index, + end_index, + old_index_separator, + new_prefix_name, + new_index_separator, + new_number_of_digits, + offset, + suffix_flag, + suffix, + ext, + ) - new_name = self.generate_new_file_name(_file, - _file_index, - start_index, - end_index, - old_index_separator, - new_prefix_name, - new_index_separator, - new_number_of_digits, - offset, - suffix_flag, - suffix, - ext) - new_list[list_of_input_files[_file_index]] = new_name - renaming_result.append("{} \t --> \t {}".format(_file, new_name)) + renaming_result.append(f"{_file} \t --> \t {new_name}") self.renaming_result = renaming_result return new_list def check_new_names(self): dict_old_new_names = self.get_dict_old_new_filenames() - old_names_new_names = [f"{os.path.basename(_key)} -> {_value}" for _key,_value in dict_old_new_names.items()] - select_widget = widgets.Select(options=old_names_new_names, - layout=widgets.Layout(width="100%", - height="400px")) + old_names_new_names = [f"{os.path.basename(_key)} -> {_value}" for _key, _value in dict_old_new_names.items()] + select_widget = widgets.Select(options=old_names_new_names, layout=widgets.Layout(width="100%", height="400px")) display(select_widget) def select_export_folder(self): - if self.ready_to_output: - self.output_folder_ui = FileSelectorPanelWithJumpFolders(instruction='Select Output Folder', - start_dir=self.working_dir, - ipts_folder=self.working_dir, - multiple=False, - next=self.export, - newdir_toolbar_button=True, - type='directory') + self.output_folder_ui = FileSelectorPanelWithJumpFolders( + instruction="Select Output Folder", + start_dir=self.working_dir, + ipts_folder=self.working_dir, + multiple=False, + next=self.export, + newdir_toolbar_button=True, + type="directory", + ) else: display(HTML('You need to fix the namig convention first!')) def export(self, selected): input_folder = os.path.abspath(self.input_folder) - input_folder_renamed = os.path.basename(input_folder) + '_renamed' + input_folder_renamed = os.path.basename(input_folder) + "_renamed" self.output_folder_ui.shortcut_buttons.close() dict_old_new_names = self.get_dict_old_new_filenames() new_output_folder = os.path.join(os.path.abspath(selected), input_folder_renamed) - utilities.copy_files(dict_old_new_names=dict_old_new_names, - new_output_folder=new_output_folder, - overwrite=False) + utilities.copy_files( + dict_old_new_names=dict_old_new_names, new_output_folder=new_output_folder, overwrite=False + ) self.new_list_files = dict_old_new_names self.display_renaming_result(new_output_folder) def display_renaming_result(self, selected): - - display(HTML('Following files have been created in folder: ' + - selected + '')) + display( + HTML( + 'Following files have been created in folder: ' + + selected + + "" + ) + ) diff --git a/notebooks/__code/roi_selection_ui.py b/notebooks/__code/roi_selection_ui.py index ce756f96..492ae61a 100755 --- a/notebooks/__code/roi_selection_ui.py +++ b/notebooks/__code/roi_selection_ui.py @@ -1,55 +1,60 @@ -from IPython.display import HTML -from IPython.display import display -import numpy as np +import os import random from collections import OrderedDict + +import numpy as np import pyqtgraph as pg -from qtpy.QtWidgets import QMainWindow, QProgressBar, QVBoxLayout, QTableWidgetSelectionRange, QTableWidgetItem +from IPython.display import HTML, display +from NeuNorm.normalization import Normalization from qtpy import QtGui -from __code import load_ui -import os +from qtpy.QtWidgets import QMainWindow, QProgressBar, QTableWidgetItem, QTableWidgetSelectionRange, QVBoxLayout -from NeuNorm.normalization import Normalization -from __code.ui_roi_selection import Ui_MainWindow as UiMainWindow -from __code.config import percentage_of_images_to_use_for_roi_selection, \ - minimum_number_of_images_to_use_for_roi_selection +from __code import load_ui +from __code.config import ( + minimum_number_of_images_to_use_for_roi_selection, + percentage_of_images_to_use_for_roi_selection, +) class Interface(QMainWindow): - roi_width = 0.01 - roi_selected = {} #nice formatting of list_roi for outside access + roi_selected = {} # nice formatting of list_roi for outside access list_of_files = None live_data = [] o_norm = None roi_column_width = 70 integrated_image = None - integrated_image_size = {'width': -1, 'height': -1} + integrated_image_size = {"width": -1, "height": -1} array2d = None - list_roi = {} # 'row": {'x0':None, 'y0': None, 'x1': None, 'y1': None} - default_roi = {'x0': 0, 'y0': 0, 'x1': 50, 'y1': 50, 'id': None} - - def __init__(self, parent=None, - o_norm=None, - array2d=None, - list_of_files=None, - percentage_of_data_to_use=None, - callback=None, - display_info_message=True): - + list_roi = {} # 'row": {'x0':None, 'y0': None, 'x1': None, 'y1': None} + default_roi = {"x0": 0, "y0": 0, "x1": 50, "y1": 50, "id": None} + + def __init__( + self, + parent=None, + o_norm=None, + array2d=None, + list_of_files=None, + percentage_of_data_to_use=None, + callback=None, + display_info_message=True, + ): if display_info_message: - display(HTML('Check UI that popped up \ - (maybe hidden behind this browser!)')) - - if not (array2d is None): + display( + HTML( + 'Check UI that popped up \ + (maybe hidden behind this browser!)' + ) + ) + + if array2d is not None: # we are giving the 2d array directly self.array2d = array2d else: - print(f"{o_norm =}") # we are working with the full stack @@ -67,8 +72,9 @@ def __init__(self, parent=None, self.callback = callback super(QMainWindow, self).__init__(parent) - ui_full_path = os.path.join(os.path.dirname(os.path.dirname(__file__)), - os.path.join('ui', 'ui_roi_selection.ui')) + ui_full_path = os.path.join( + os.path.dirname(os.path.dirname(__file__)), os.path.join("ui", "ui_roi_selection.ui") + ) self.ui = load_ui(ui_full_path, baseinstance=self) self.init_statusbar() @@ -107,40 +113,50 @@ def __get_recap(self, data_array): [height, width] = np.shape(data_array[0]) nbr_sample = len(data_array) else: - nbr_sample = '0' - [height, width] = ['N/A', 'N/A'] + nbr_sample = "0" + [height, width] = ["N/A", "N/A"] return [nbr_sample, height, width] def __built_html_table_row_3_columns(self, name, nbr, height, width): - _html = '' + str(name) + '' + str(nbr) + '' + str(height) + \ - '*' + str(width) + '' + _html = ( + "" + + str(name) + + "" + + str(nbr) + + "" + + str(height) + + "*" + + str(width) + + "" + ) return _html def recap(self): """Display nbr of files loaded and size. This can be used to figure why a normalization failed""" - [nbr_sample, height_sample, width_sample] = self.__get_recap(self.o_norm.data['sample']['data']) - [nbr_ob, height_ob, width_ob] = self.__get_recap(self.o_norm.data['ob']['data']) - [nbr_df, height_df, width_df] = self.__get_recap(self.o_norm.data['df']['data']) - - html = '' - html += self.__built_html_table_row_3_columns('sample', nbr_sample, height_sample, width_sample) - html += self.__built_html_table_row_3_columns('ob', nbr_ob, height_ob, width_ob) - html += self.__built_html_table_row_3_columns('df', nbr_df, height_df, width_df) - html += '
TypeNumber' + \ - 'Size (height*width)
' + [nbr_sample, height_sample, width_sample] = self.__get_recap(self.o_norm.data["sample"]["data"]) + [nbr_ob, height_ob, width_ob] = self.__get_recap(self.o_norm.data["ob"]["data"]) + [nbr_df, height_df, width_df] = self.__get_recap(self.o_norm.data["df"]["data"]) + + html = ( + '" + ) + html += self.__built_html_table_row_3_columns("sample", nbr_sample, height_sample, width_sample) + html += self.__built_html_table_row_3_columns("ob", nbr_ob, height_ob, width_ob) + html += self.__built_html_table_row_3_columns("df", nbr_df, height_df, width_df) + html += "
TypeNumber' + + "Size (height*width)
" display(HTML(html)) def integrate_images(self): - - if not(self.array2d is None): + if self.array2d is not None: self.integrated_image = self.array2d else: percentage_of_data_to_use = self.percentage_of_data_to_use if self.o_norm: - nbr_files = len(self.o_norm.data['sample']['data']) + nbr_files = len(self.o_norm.data["sample"]["data"]) else: nbr_files = len(self.list_of_files) @@ -153,24 +169,24 @@ def integrate_images(self): random_list = random.sample(range(0, nbr_files), nbr_files_to_use) if self.o_norm: - list_data_to_use = [self.o_norm.data['sample']['data'][_index] for _index in random_list] + list_data_to_use = [self.o_norm.data["sample"]["data"][_index] for _index in random_list] else: o_norm = Normalization() list_of_files = np.array(self.list_of_files) list_of_files = list(list_of_files[random_list]) o_norm.load(file=list_of_files, notebook=True) - list_data_to_use = o_norm.data['sample']['data'] + list_data_to_use = o_norm.data["sample"]["data"] self.integrated_image = np.mean(list_data_to_use, axis=0) [_height, _width] = np.shape(self.integrated_image) - self.integrated_image_size['height'] = _height - self.integrated_image_size['width'] = _width + self.integrated_image_size["height"] = _height + self.integrated_image_size["width"] = _width def _clean_image(self, image): _result_inf = np.where(np.isinf(image)) - image[_result_inf] = np.NaN + image[_result_inf] = np.nan return image def display_image(self): @@ -179,11 +195,11 @@ def display_image(self): self.ui.image_view.setImage(_image) def remove_row_entry(self, row): - _roi_id = self.list_roi[row]['id'] + _roi_id = self.list_roi[row]["id"] self.ui.image_view.removeItem(_roi_id) del self.list_roi[row] - #rename row + # rename row new_list_roi = {} new_row_index = 0 for _previous_row_index in self.list_roi.keys(): @@ -192,7 +208,6 @@ def remove_row_entry(self, row): self.list_roi = new_list_roi def remove_roi_button_clicked(self): - self.ui.table_roi.blockSignals(True) _selection = self.ui.table_roi.selectedRanges() @@ -212,7 +227,7 @@ def remove_roi_button_clicked(self): if new_nbr_row == 0: return - if row == (old_nbr_row-1): + if row == (old_nbr_row - 1): row = new_nbr_row - 1 _new_selection = QTableWidgetSelectionRange(row, 0, row, 3) @@ -237,26 +252,26 @@ def update_table_roi_ui(self): self.ui.table_roi.insertRow(_index_row) - self._set_item_value(_index_row, 0, _roi['x0']) + self._set_item_value(_index_row, 0, _roi["x0"]) # _item = QtGui.QTableWidgetItem(str(_roi['x0'])) # self.ui.table_roi.setItem(_index_row, 0, _item) - self._set_item_value(_index_row, 1, _roi['y0']) + self._set_item_value(_index_row, 1, _roi["y0"]) # _item = QtGui.QTableWidgetItem(str(_roi['y0'])) # self.ui.table_roi.setItem(_index_row, 1, _item) - self._set_item_value(_index_row, 2, _roi['x1']) + self._set_item_value(_index_row, 2, _roi["x1"]) # _item = QtGui.QTableWidgetItem(str(_roi['x1'])) # self.ui.table_roi.setItem(_index_row, 2, _item) - self._set_item_value(_index_row, 3, _roi['y1']) + self._set_item_value(_index_row, 3, _roi["y1"]) # _item = QtGui.QTableWidgetItem(str(_roi['y1'])) # self.ui.table_roi.setItem(_index_row, 3, _item) _index_row += 1 self.ui.table_roi.blockSignals(False) - #self.ui.table_roi.itemChanged['QTableWidgetItem*'].connect(self.update_table_roi) + # self.ui.table_roi.itemChanged['QTableWidgetItem*'].connect(self.update_table_roi) def _set_item_value(self, row=0, column=0, value=-1): _item = QTableWidgetItem(str(value)) @@ -269,9 +284,9 @@ def check_roi_validity(self, value, x_axis=True): value = int(value) if x_axis: - max_value = self.integrated_image_size['width'] + max_value = self.integrated_image_size["width"] else: - max_value = self.integrated_image_size['height'] + max_value = self.integrated_image_size["height"] if value < 0: return min_value @@ -304,11 +319,11 @@ def update_table_roi(self, item): self._set_item_value(_row, 2, _x1) self._set_item_value(_row, 3, _y1) - _roi['x0'] = _x0 - _roi['y0'] = _y0 - _roi['x1'] = _x1 - _roi['y1'] = _y1 - _roi['id'] = old_list_roi[_row]['id'] + _roi["x0"] = _x0 + _roi["y0"] = _y0 + _roi["x1"] = _x1 + _roi["y1"] = _y1 + _roi["id"] = old_list_roi[_row]["id"] new_list_roi[_row] = _roi @@ -323,17 +338,16 @@ def update_image_view_item(self): for _row in list_roi.keys(): _roi = list_roi[_row] - _x0 = int(_roi['x0']) - _y0 = int(_roi['y0']) - _x1 = int(_roi['x1']) - _y1 = int(_roi['y1']) + _x0 = int(_roi["x0"]) + _y0 = int(_roi["y0"]) + _x1 = int(_roi["x1"]) + _y1 = int(_roi["y1"]) _width = np.abs(_x1 - _x0) _height = np.abs(_y1 - _y0) - _roi_id = self.init_roi(x0=_x0, y0=_y0, - width=_width, height=_height) - _roi['id'] = _roi_id + _roi_id = self.init_roi(x0=_x0, y0=_y0, width=_width, height=_height) + _roi["id"] = _roi_id list_roi[_row] = _roi @@ -344,16 +358,15 @@ def _get_item_value(self, row, column): if _item: return str(_item.text()) else: - return '' + return "" def roi_manually_moved(self): list_roi = self.list_roi for _row in list_roi.keys(): - _roi = list_roi[_row] - roi_id = _roi['id'] + roi_id = _roi["id"] region = roi_id.getArraySlice(self.integrated_image, self.ui.image_view.imageItem) x0 = region[0][0].start @@ -361,10 +374,10 @@ def roi_manually_moved(self): y0 = region[0][1].start y1 = region[0][1].stop - _roi['x0'] = x0 - _roi['x1'] = x1 - _roi['y0'] = y0 - _roi['y1'] = y1 + _roi["x0"] = x0 + _roi["x1"] = x1 + _roi["y0"] = y0 + _roi["y1"] = y1 list_roi[_row] = _roi @@ -375,9 +388,8 @@ def clear_roi_on_image_view(self): list_roi = self.list_roi for _row in list_roi.keys(): - _roi = list_roi[_row] - roi_id = _roi['id'] + roi_id = _roi["id"] self.ui.image_view.removeItem(roi_id) def add_roi_button_clicked(self): @@ -394,16 +406,16 @@ def add_roi_button_clicked(self): self.ui.table_roi.insertRow(row) _default_roi = self.default_roi - _item = QTableWidgetItem(str(_default_roi['x0'])) + _item = QTableWidgetItem(str(_default_roi["x0"])) self.ui.table_roi.setItem(row, 0, _item) - _item = QTableWidgetItem(str(_default_roi['y0'])) + _item = QTableWidgetItem(str(_default_roi["y0"])) self.ui.table_roi.setItem(row, 1, _item) - _item = QTableWidgetItem(str(_default_roi['x1'])) + _item = QTableWidgetItem(str(_default_roi["x1"])) self.ui.table_roi.setItem(row, 2, _item) - _item = QTableWidgetItem(str(_default_roi['y1'])) + _item = QTableWidgetItem(str(_default_roi["y1"])) self.ui.table_roi.setItem(row, 3, _item) # save new list_roi dictionary @@ -413,25 +425,24 @@ def add_roi_button_clicked(self): _roi = {} _x0 = self._get_item_value(_row, 0) - _roi['x0'] = int(_x0) + _roi["x0"] = int(_x0) _y0 = self._get_item_value(_row, 1) - _roi['y0'] = int(_y0) + _roi["y0"] = int(_y0) _x1 = self._get_item_value(_row, 2) - _roi['x1'] = int(_x1) + _roi["x1"] = int(_x1) _y1 = self._get_item_value(_row, 3) - _roi['y1'] = int(_y1) + _roi["y1"] = int(_y1) x0_int = int(_x0) y0_int = int(_y0) width_int = np.abs(x0_int - int(_x1)) height_int = np.abs(y0_int - int(_y1)) - _roi_id = self.init_roi(x0=x0_int, y0=y0_int, - width=width_int, height=height_int) - _roi['id'] = _roi_id + _roi_id = self.init_roi(x0=x0_int, y0=y0_int, width=width_int, height=height_int) + _roi["id"] = _roi_id list_roi[_row] = _roi self.list_roi = list_roi @@ -468,17 +479,17 @@ def format_roi(self): roi_selected = {} for _key in self.list_roi.keys(): _roi = self.list_roi[_key] - x0 = _roi['x0'] - y0 = _roi['y0'] - x1 = _roi['x1'] - y1 = _roi['y1'] - new_entry = {'x0': x0, 'y0': y0, 'x1': x1, 'y1': y1} + x0 = _roi["x0"] + y0 = _roi["y0"] + x1 = _roi["x1"] + y1 = _roi["y1"] + new_entry = {"x0": x0, "y0": y0, "x1": x1, "y1": y1} roi_selected[_key] = new_entry self.roi_selected = roi_selected def apply_clicked(self): - self.update_table_roi(None) #check ROI before leaving application + self.update_table_roi(None) # check ROI before leaving application self.format_roi() self.close() if self.callback: diff --git a/notebooks/__code/roi_statistics_vs_stack/__init__.py b/notebooks/__code/roi_statistics_vs_stack/__init__.py index 33e79bf4..0d2245cb 100755 --- a/notebooks/__code/roi_statistics_vs_stack/__init__.py +++ b/notebooks/__code/roi_statistics_vs_stack/__init__.py @@ -1,5 +1,4 @@ class StatisticsColumnIndex: - file_name = 0 time_offset = 1 min = 2 diff --git a/notebooks/__code/roi_statistics_vs_stack/display.py b/notebooks/__code/roi_statistics_vs_stack/display.py index 6b1a56f7..2111f2e4 100755 --- a/notebooks/__code/roi_statistics_vs_stack/display.py +++ b/notebooks/__code/roi_statistics_vs_stack/display.py @@ -2,7 +2,6 @@ class Display: - def __init__(self, parent=None): self.parent = parent @@ -18,7 +17,7 @@ def update_image_view(self, slider_value=0): _histo_widget = self.parent.ui.image_view.getHistogramWidget() self.parent.image_view_histogram_level = _histo_widget.getLevels() - data = self.parent.data_dict[slider_value]['data'] + data = self.parent.data_dict[slider_value]["data"] data = np.transpose(data) self.parent.ui.image_view.setImage(data) self.parent.live_image = data @@ -26,14 +25,15 @@ def update_image_view(self, slider_value=0): _view_box.setState(_state) if not first_update: - _histo_widget.setLevels(self.parent.image_view_histogram_level[0], - self.parent.image_view_histogram_level[1]) + _histo_widget.setLevels( + self.parent.image_view_histogram_level[0], self.parent.image_view_histogram_level[1] + ) def get_x_axis(self): if self.parent.ui.file_index_radioButton.isChecked(): - return self.parent.x_axis['file_index'], 'file index' + return self.parent.x_axis["file_index"], "file index" else: - return self.parent.x_axis['time_offset'], 'time offset (s)' + return self.parent.x_axis["time_offset"], "time offset (s)" def update_statistics_plot(self): self.parent.statistics_plot.axes.cla() @@ -42,28 +42,28 @@ def update_statistics_plot(self): nbr_plot = 0 if self.parent.ui.mean_checkBox.isChecked(): - y_axis_mean = self.parent.y_axis['mean'] - self.parent.statistics_plot.axes.plot(x_axis, y_axis_mean, 'bv', label='mean') + y_axis_mean = self.parent.y_axis["mean"] + self.parent.statistics_plot.axes.plot(x_axis, y_axis_mean, "bv", label="mean") nbr_plot += 1 if self.parent.ui.min_checkBox.isChecked(): - y_axis_mean = self.parent.y_axis['min'] - self.parent.statistics_plot.axes.plot(x_axis, y_axis_mean, 'r*', label='min') + y_axis_mean = self.parent.y_axis["min"] + self.parent.statistics_plot.axes.plot(x_axis, y_axis_mean, "r*", label="min") nbr_plot += 1 if self.parent.ui.max_checkBox.isChecked(): - y_axis_mean = self.parent.y_axis['max'] - self.parent.statistics_plot.axes.plot(x_axis, y_axis_mean, 'r+', label='max') + y_axis_mean = self.parent.y_axis["max"] + self.parent.statistics_plot.axes.plot(x_axis, y_axis_mean, "r+", label="max") nbr_plot += 1 if self.parent.ui.median_checkBox.isChecked(): - y_axis_mean = self.parent.y_axis['median'] - self.parent.statistics_plot.axes.plot(x_axis, y_axis_mean, 'gp', label='median') + y_axis_mean = self.parent.y_axis["median"] + self.parent.statistics_plot.axes.plot(x_axis, y_axis_mean, "gp", label="median") nbr_plot += 1 if self.parent.ui.std_checkBox.isChecked(): - y_axis_mean = self.parent.y_axis['std'] - self.parent.statistics_plot.axes.plot(x_axis, y_axis_mean, 'cx', label='std') + y_axis_mean = self.parent.y_axis["std"] + self.parent.statistics_plot.axes.plot(x_axis, y_axis_mean, "cx", label="std") nbr_plot += 1 if nbr_plot > 0: diff --git a/notebooks/__code/roi_statistics_vs_stack/event_handler.py b/notebooks/__code/roi_statistics_vs_stack/event_handler.py index 2543a00f..f7b08ada 100755 --- a/notebooks/__code/roi_statistics_vs_stack/event_handler.py +++ b/notebooks/__code/roi_statistics_vs_stack/event_handler.py @@ -6,23 +6,21 @@ class EventHandler: - def __init__(self, parent=None): self.parent = parent def recalculate_table(self): - region = self.parent.ui.roi.getArraySlice(self.parent.live_image, - self.parent.ui.image_view.imageItem) + region = self.parent.ui.roi.getArraySlice(self.parent.live_image, self.parent.ui.image_view.imageItem) x0 = region[0][0].start x1 = region[0][0].stop - 1 y0 = region[0][1].start y1 = region[0][1].stop - 1 - self.parent.roi_dict['x0'] = x0 - self.parent.roi_dict['y0'] = y0 - self.parent.roi_dict['width'] = np.abs(x1-x0) - self.parent.roi_dict['height'] = np.abs(y1-y0) + self.parent.roi_dict["x0"] = x0 + self.parent.roi_dict["y0"] = y0 + self.parent.roi_dict["width"] = np.abs(x1 - x0) + self.parent.roi_dict["height"] = np.abs(y1 - y0) y_axis_min = [] y_axis_max = [] @@ -31,8 +29,8 @@ def recalculate_table(self): y_axis_std = [] for _row in self.parent.data_dict.keys(): - _data = self.parent.data_dict[_row]['data'] - _data_of_roi = _data[y0: y1, x0: x1] + _data = self.parent.data_dict[_row]["data"] + _data_of_roi = _data[y0:y1, x0:x1] _mean = np.mean(_data_of_roi) _max = np.max(_data_of_roi) @@ -40,11 +38,11 @@ def recalculate_table(self): _median = np.median(_data_of_roi) _std = np.std(_data_of_roi) - self.parent.data_dict[_row]['mean'] = _mean - self.parent.data_dict[_row]['max'] = _max - self.parent.data_dict[_row]['min'] = _min - self.parent.data_dict[_row]['median'] = _median - self.parent.data_dict[_row]['std'] = _std + self.parent.data_dict[_row]["mean"] = _mean + self.parent.data_dict[_row]["max"] = _max + self.parent.data_dict[_row]["min"] = _min + self.parent.data_dict[_row]["median"] = _median + self.parent.data_dict[_row]["std"] = _std y_axis_min.append(_min) y_axis_max.append(_max) @@ -52,42 +50,33 @@ def recalculate_table(self): y_axis_median.append(_median) y_axis_std.append(_std) - self.parent.y_axis['min'] = y_axis_min - self.parent.y_axis['max'] = y_axis_max - self.parent.y_axis['mean'] = y_axis_mean - self.parent.y_axis['median'] = y_axis_median - self.parent.y_axis['std'] = y_axis_std + self.parent.y_axis["min"] = y_axis_min + self.parent.y_axis["max"] = y_axis_max + self.parent.y_axis["mean"] = y_axis_mean + self.parent.y_axis["median"] = y_axis_median + self.parent.y_axis["std"] = y_axis_std def update_table(self): data_dict = self.parent.data_dict o_table = TableHandler(table_ui=self.parent.ui.tableWidget) for _row in data_dict.keys(): - _entry = data_dict[_row] - o_table.insert_item(row=_row, - column=StatisticsColumnIndex.min, - value=_entry['min'], - editable=False) - o_table.insert_item(row=_row, - column=StatisticsColumnIndex.max, - value=_entry['max'], - editable=False) - o_table.insert_item(row=_row, - column=StatisticsColumnIndex.mean, - value=_entry['mean'], - format_str='{:0.2f}', - editable=False) - o_table.insert_item(row=_row, - column=StatisticsColumnIndex.median, - value=_entry['median'], - format_str='{:0.2f}', - editable=False) - o_table.insert_item(row=_row, - column=StatisticsColumnIndex.std, - value=_entry['std'], - format_str='{:0.2f}', - editable=False) + o_table.insert_item(row=_row, column=StatisticsColumnIndex.min, value=_entry["min"], editable=False) + o_table.insert_item(row=_row, column=StatisticsColumnIndex.max, value=_entry["max"], editable=False) + o_table.insert_item( + row=_row, column=StatisticsColumnIndex.mean, value=_entry["mean"], format_str="{:0.2f}", editable=False + ) + o_table.insert_item( + row=_row, + column=StatisticsColumnIndex.median, + value=_entry["median"], + format_str="{:0.2f}", + editable=False, + ) + o_table.insert_item( + row=_row, column=StatisticsColumnIndex.std, value=_entry["std"], format_str="{:0.2f}", editable=False + ) def reset_table_plot(self): # clear table diff --git a/notebooks/__code/roi_statistics_vs_stack/export.py b/notebooks/__code/roi_statistics_vs_stack/export.py index eb5ce6db..62373bd8 100755 --- a/notebooks/__code/roi_statistics_vs_stack/export.py +++ b/notebooks/__code/roi_statistics_vs_stack/export.py @@ -1,44 +1,44 @@ -from qtpy.QtWidgets import QFileDialog -from pathlib import Path -import numpy as np import os +import numpy as np +from qtpy.QtWidgets import QFileDialog + from __code._utilities.file import make_ascii_file -from __code._utilities.status_message import show_status_message, StatusMessageStatus +from __code._utilities.status_message import StatusMessageStatus, show_status_message class Export: - def __init__(self, parent=None): self.parent = parent def export(self): base_folder = os.path.basename(self.parent.working_folder) - _export_folder = QFileDialog.getExistingDirectory(self.parent, - directory=os.path.dirname(base_folder), - caption="Select Output Folder") + _export_folder = QFileDialog.getExistingDirectory( + self.parent, directory=os.path.dirname(base_folder), caption="Select Output Folder" + ) if _export_folder: output_base_file_name = str(base_folder) + "_statistics.txt" full_output_base_file_name = os.path.join(_export_folder, output_base_file_name) x_axis = self.parent.x_axis - time_offset_array = x_axis['time_offset'] + time_offset_array = x_axis["time_offset"] y_axis = self.parent.y_axis - mean_array = y_axis['mean'] - max_array = y_axis['max'] - min_array = y_axis['min'] - std_array = y_axis['std'] - median_array = y_axis['median'] + mean_array = y_axis["mean"] + max_array = y_axis["max"] + min_array = y_axis["min"] + std_array = y_axis["std"] + median_array = y_axis["median"] list_of_images = self.parent.list_of_images roi = self.parent.roi_dict metadata = ["# Statistics created with roi_statistics_vs_stack notebook"] metadata.append(f"# working dir: {self.parent.working_folder}") - metadata.append(f"# roi selected: x0:{roi['x0']}, y0:{roi['y0']}, " - f"width:{roi['width']}, height:{roi['height']}") + metadata.append( + f"# roi selected: x0:{roi['x0']}, y0:{roi['y0']}, " f"width:{roi['width']}, height:{roi['height']}" + ) metadata.append("#") metadata.append("#file index, file name, time offset (s), min, max, mean, median, standard deviation") @@ -58,11 +58,11 @@ def export(self): _row_str_formatted = ",".join(_row_str) data.append(_row_str_formatted) - make_ascii_file(metadata=metadata, data=data, - output_file_name=full_output_base_file_name, - dim="1d") + make_ascii_file(metadata=metadata, data=data, output_file_name=full_output_base_file_name, dim="1d") - show_status_message(parent=self.parent, - message=f"ASCII file has been created! -> {full_output_base_file_name}", - status=StatusMessageStatus.ready, - duration_s=10) + show_status_message( + parent=self.parent, + message=f"ASCII file has been created! -> {full_output_base_file_name}", + status=StatusMessageStatus.ready, + duration_s=10, + ) diff --git a/notebooks/__code/roi_statistics_vs_stack/initialization.py b/notebooks/__code/roi_statistics_vs_stack/initialization.py index 78481346..ee192c66 100755 --- a/notebooks/__code/roi_statistics_vs_stack/initialization.py +++ b/notebooks/__code/roi_statistics_vs_stack/initialization.py @@ -1,19 +1,19 @@ -import pyqtgraph as pg -from qtpy.QtWidgets import QProgressBar -from qtpy.QtWidgets import QHBoxLayout, QVBoxLayout -import numpy as np import os + import matplotlib -matplotlib.use('Qt5Agg') +import numpy as np +import pyqtgraph as pg +from qtpy.QtWidgets import QHBoxLayout, QProgressBar, QVBoxLayout + +matplotlib.use("Qt5Agg") from matplotlib.backends.backend_qt5agg import NavigationToolbar2QT as NavigationToolbar +from __code.__all.mplcanvas import MplCanvas from __code._utilities.table_handler import TableHandler from __code.roi_statistics_vs_stack import StatisticsColumnIndex -from __code.__all.mplcanvas import MplCanvas class Initialization: - def __init__(self, parent=None): self.parent = parent @@ -32,12 +32,11 @@ def pyqtgraph(self): # default ROI roi = self.parent.roi_dict - x0 = roi['x0'] - y0 = roi['y0'] - width = roi['width'] - height = roi['height'] - self.parent.ui.roi = pg.ROI( - [x0, y0], [width, height], pen=(62, 13, 244), scaleSnap=True) # blue + x0 = roi["x0"] + y0 = roi["y0"] + width = roi["width"] + height = roi["height"] + self.parent.ui.roi = pg.ROI([x0, y0], [width, height], pen=(62, 13, 244), scaleSnap=True) # blue self.parent.ui.roi.addScaleHandle([1, 1], [0, 0]) self.parent.ui.image_view.addItem(self.parent.ui.roi) self.parent.ui.roi.sigRegionChanged.connect(self.parent.roi_changed) @@ -57,31 +56,31 @@ def statusbar(self): self.parent.ui.statusbar.addPermanentWidget(self.parent.eventProgress) def widgets(self): - self.parent.ui.horizontalSlider.setMaximum(len(self.parent.list_of_images)-1) + self.parent.ui.horizontalSlider.setMaximum(len(self.parent.list_of_images) - 1) def table(self): o_table = TableHandler(table_ui=self.parent.ui.tableWidget) for _row in np.arange(len(self.parent.list_of_images)): o_table.insert_empty_row(_row) short_file_name = os.path.basename(self.parent.list_of_images[_row]) - o_table.insert_item(row=_row, - column=StatisticsColumnIndex.file_name, - value=short_file_name, - editable=False) - o_table.insert_item(row=_row, - column=StatisticsColumnIndex.time_offset, - value=self.parent.data_dict[_row]['time_offset'], - format_str="{:.2f}", - editable=False) - - list_column_index = [StatisticsColumnIndex.min, StatisticsColumnIndex.max, - StatisticsColumnIndex.mean, StatisticsColumnIndex.median, - StatisticsColumnIndex.std] + o_table.insert_item(row=_row, column=StatisticsColumnIndex.file_name, value=short_file_name, editable=False) + o_table.insert_item( + row=_row, + column=StatisticsColumnIndex.time_offset, + value=self.parent.data_dict[_row]["time_offset"], + format_str="{:.2f}", + editable=False, + ) + + list_column_index = [ + StatisticsColumnIndex.min, + StatisticsColumnIndex.max, + StatisticsColumnIndex.mean, + StatisticsColumnIndex.median, + StatisticsColumnIndex.std, + ] for _col in list_column_index: - o_table.insert_item(row=_row, - column=_col, - value="N/A", - editable=False) + o_table.insert_item(row=_row, column=_col, value="N/A", editable=False) o_table.set_column_width(column_width=[350, 100, 70, 70, 70, 70, 70]) @@ -96,5 +95,4 @@ def _matplotlib(parent=None, widget=None): widget.setLayout(layout) return sc - self.parent.statistics_plot = _matplotlib(parent=self.parent, - widget=self.parent.ui.plot_widget) + self.parent.statistics_plot = _matplotlib(parent=self.parent, widget=self.parent.ui.plot_widget) diff --git a/notebooks/__code/roi_statistics_vs_stack/load.py b/notebooks/__code/roi_statistics_vs_stack/load.py index 1359b01f..42adfaa7 100755 --- a/notebooks/__code/roi_statistics_vs_stack/load.py +++ b/notebooks/__code/roi_statistics_vs_stack/load.py @@ -1,15 +1,14 @@ -from qtpy.QtWidgets import QApplication -import numpy as np -from pathlib import Path import copy +from pathlib import Path +import numpy as np from NeuNorm.normalization import Normalization +from qtpy.QtWidgets import QApplication from __code._utilities.metadata_handler import MetadataHandler class Load: - def __init__(self, parent=None): self.parent = parent @@ -28,10 +27,8 @@ def data(self): x_axis_time_offset = [] for _index, _file in enumerate(list_of_images): o_norm = Normalization() - o_norm.load(file=_file, - auto_gamma_filter=False, - manual_gamma_filter=False) - data = np.squeeze(o_norm.data['sample']['data'][0]) + o_norm.load(file=_file, auto_gamma_filter=False, manual_gamma_filter=False) + data = np.squeeze(o_norm.data["sample"]["data"][0]) time_stamp = MetadataHandler.get_time_stamp(file_name=_file, ext=file_extension) if acquisition_time_of_first_image == -1: acquisition_time_of_first_image = time_stamp @@ -41,14 +38,14 @@ def data(self): x_axis_time_offset.append(time_stamp) data_dict[_index] = copy.deepcopy(self.parent.data_sub_dict) - data_dict[_index]['data'] = data - data_dict[_index]['time_offset']= time_stamp + data_dict[_index]["data"] = data + data_dict[_index]["time_offset"] = time_stamp self.parent.eventProgress.setValue(_index) QApplication.processEvents() - self.parent.x_axis['file_index'] = x_axis_file_index - self.parent.x_axis['time_offset'] = x_axis_time_offset + self.parent.x_axis["file_index"] = x_axis_file_index + self.parent.x_axis["time_offset"] = x_axis_time_offset self.parent.data_dict = data_dict self.parent.eventProgress.setVisible(False) diff --git a/notebooks/__code/roi_statistics_vs_stack/main.py b/notebooks/__code/roi_statistics_vs_stack/main.py index bfe6b21a..0dcc9d80 100755 --- a/notebooks/__code/roi_statistics_vs_stack/main.py +++ b/notebooks/__code/roi_statistics_vs_stack/main.py @@ -1,31 +1,28 @@ -from IPython.display import HTML -from IPython.display import display import os -from qtpy.QtWidgets import QMainWindow +from IPython.display import HTML, display +from qtpy.QtWidgets import QMainWindow from __code import load_ui -from __code.file_folder_browser import FileFolderBrowser -from __code.roi_statistics_vs_stack.initialization import Initialization -from __code.roi_statistics_vs_stack.event_handler import EventHandler -from __code.roi_statistics_vs_stack.display import Display -from __code.roi_statistics_vs_stack.load import Load from __code._utilities.file import ListMostDominantExtension from __code._utilities.table_handler import TableHandler +from __code.file_folder_browser import FileFolderBrowser +from __code.roi_statistics_vs_stack.display import Display +from __code.roi_statistics_vs_stack.event_handler import EventHandler from __code.roi_statistics_vs_stack.export import Export +from __code.roi_statistics_vs_stack.initialization import Initialization +from __code.roi_statistics_vs_stack.load import Load class FileHandler(FileFolderBrowser): - - def __init__(self, working_dir=''): - super(FileHandler, self).__init__(working_dir=working_dir, - next_function=self.display_status) + def __init__(self, working_dir=""): + super(FileHandler, self).__init__(working_dir=working_dir, next_function=self.display_status) def get_list_of_files(self): return self.list_images_ui.selected def select_folder(self): - self.select_input_folder(instruction='Select folder containing images to process ...') + self.select_input_folder(instruction="Select folder containing images to process ...") def display_status(self, folder): o_list = ListMostDominantExtension(working_dir=folder) @@ -33,29 +30,25 @@ def display_status(self, folder): result = o_list.get_files_of_selected_ext() self.list_of_images = result.list_files nbr_images = str(len(self.list_of_images)) - display(HTML('You have selected ' + nbr_images + ' images ')) + display(HTML('You have selected ' + nbr_images + " images ")) class ImageWindow(QMainWindow): - list_of_images = None - data_sub_dict = {'data': None, - 'time_offset': 0, - 'mean': None, - 'max': None, - 'min': None, - 'std': None, - 'median': None} + data_sub_dict = { + "data": None, + "time_offset": 0, + "mean": None, + "max": None, + "min": None, + "std": None, + "median": None, + } - x_axis = {'file_index': None, - 'time_offset': None} + x_axis = {"file_index": None, "time_offset": None} - y_axis = {'mean': None, - 'max': None, - 'min': None, - 'std': None, - 'median': None} + y_axis = {"mean": None, "max": None, "min": None, "std": None, "median": None} # {0: {'data': [], 'time_offset': 0}, # 1: {'data': [], 'time_offset': 15}, @@ -66,20 +59,17 @@ class ImageWindow(QMainWindow): image_view_histogram_level = None - roi_dict = {'x0': 200, - 'y0': 200, - 'width': 400, - 'height': 400} + roi_dict = {"x0": 200, "y0": 200, "width": 400, "height": 400} def __init__(self, parent=None, list_of_images=None): - self.list_of_images = list_of_images self.working_folder = os.path.dirname(list_of_images[0]) super(ImageWindow, self).__init__(parent) - ui_full_path = os.path.join(os.path.dirname(os.path.dirname(os.path.dirname(__file__))), - os.path.join('ui', - 'ui_roi_statistics_vs_stack.ui')) + ui_full_path = os.path.join( + os.path.dirname(os.path.dirname(os.path.dirname(__file__))), + os.path.join("ui", "ui_roi_statistics_vs_stack.ui"), + ) self.ui = load_ui(ui_full_path, baseinstance=self) self.setWindowTitle("Select ROI to display profile over all images.") diff --git a/notebooks/__code/roi_statistics_vs_stack/table.py b/notebooks/__code/roi_statistics_vs_stack/table.py index 1caf8e38..9e0033ae 100755 --- a/notebooks/__code/roi_statistics_vs_stack/table.py +++ b/notebooks/__code/roi_statistics_vs_stack/table.py @@ -3,7 +3,6 @@ class Table: - def __init__(self, parent=None): self.parent = parent @@ -13,25 +12,9 @@ def reset(self): o_table = TableHandler(table_ui=self.parent.ui.tableWidget) reset_value = "NaN" for _row in data_dict.keys(): - _entry = data_dict[_row] - o_table.insert_item(row=_row, - column=StatisticsColumnIndex.min, - value=reset_value, - editable=False) - o_table.insert_item(row=_row, - column=StatisticsColumnIndex.max, - value=reset_value, - editable=False) - o_table.insert_item(row=_row, - column=StatisticsColumnIndex.mean, - value=reset_value, - editable=False) - o_table.insert_item(row=_row, - column=StatisticsColumnIndex.median, - value=reset_value, - editable=False) - o_table.insert_item(row=_row, - column=StatisticsColumnIndex.std, - value=reset_value, - editable=False) + o_table.insert_item(row=_row, column=StatisticsColumnIndex.min, value=reset_value, editable=False) + o_table.insert_item(row=_row, column=StatisticsColumnIndex.max, value=reset_value, editable=False) + o_table.insert_item(row=_row, column=StatisticsColumnIndex.mean, value=reset_value, editable=False) + o_table.insert_item(row=_row, column=StatisticsColumnIndex.median, value=reset_value, editable=False) + o_table.insert_item(row=_row, column=StatisticsColumnIndex.std, value=reset_value, editable=False) diff --git a/notebooks/__code/rotate_and_crop_images/rotate_and_crop_images.py b/notebooks/__code/rotate_and_crop_images/rotate_and_crop_images.py index d2b23164..c728f7fb 100755 --- a/notebooks/__code/rotate_and_crop_images/rotate_and_crop_images.py +++ b/notebooks/__code/rotate_and_crop_images/rotate_and_crop_images.py @@ -1,20 +1,25 @@ -from qtpy.QtWidgets import QMainWindow, QLabel, QHBoxLayout, QSlider, QSpacerItem -from qtpy.QtWidgets import QSizePolicy, QLineEdit, QWidget, QVBoxLayout, QProgressBar, QApplication -from qtpy import QtCore -import copy - -from ipywidgets import widgets -from IPython.display import display, HTML +import os +import numpy as np import pyqtgraph as pg import scipy.ndimage -import numpy as np -import os - +from IPython.display import HTML, display +from ipywidgets import widgets from NeuNorm.normalization import Normalization - -from __code import load_ui -from __code import file_handler +from qtpy.QtWidgets import ( + QApplication, + QHBoxLayout, + QLabel, + QLineEdit, + QMainWindow, + QProgressBar, + QSizePolicy, + QSpacerItem, + QVBoxLayout, + QWidget, +) + +from __code import file_handler, load_ui from __code.ipywe import fileselector @@ -45,12 +50,12 @@ class RotateAndCropImages(QMainWindow): data_dict = None def __init__(self, parent=None, o_load=None): - display( HTML( 'Select the rotation angle in the UI that popped up (maybe ' - 'hidden behind this browser!)' - )) + "hidden behind this browser!)" + ) + ) self.data_dict = o_load.data_dict # self.rotated_data_dict = copy.deepcopy(self.data_dict) @@ -63,8 +68,9 @@ def __init__(self, parent=None, o_load=None): QMainWindow.__init__(self, parent=parent) - ui_full_path = os.path.join(os.path.dirname(os.path.dirname(os.path.dirname(__file__))), - os.path.join('ui', 'ui_rotate_and_crop.ui')) + ui_full_path = os.path.join( + os.path.dirname(os.path.dirname(os.path.dirname(__file__))), os.path.join("ui", "ui_rotate_and_crop.ui") + ) self.ui = load_ui(ui_full_path, baseinstance=self) self.init_statusbar() self.setWindowTitle("Select Rotation Angle for All Images") @@ -80,14 +86,13 @@ def __init__(self, parent=None, o_load=None): # rotation value label_2 = QLabel("Rotation (degrees)") - self.ui.rotation_value = QLineEdit('0') + self.ui.rotation_value = QLineEdit("0") self.ui.rotation_value.setMaximumWidth(50) - self.ui.rotation_value.returnPressed.connect( - self.rotation_value_changed) + self.ui.rotation_value.returnPressed.connect(self.rotation_value_changed) if self.nbr_files > 1: self.ui.file_index_groupBox.setVisible(True) - self.ui.file_index_slider.setMaximum(self.nbr_files-1) + self.ui.file_index_slider.setMaximum(self.nbr_files - 1) else: self.ui.file_index_groupBox.setVisible(False) @@ -108,7 +113,7 @@ def __init__(self, parent=None, o_load=None): self.display_image() self.display_crop_region() self.rotation_value_changed() - self.ui.number_of_files_label.setText(str(len(self.list_images)-1)) + self.ui.number_of_files_label.setText(str(len(self.list_images) - 1)) def init_statusbar(self): self.eventProgress = QProgressBar(self.ui.statusbar) @@ -135,8 +140,7 @@ def display_crop_region(self): width = image_width - 1 height = image_height - 1 - roi = pg.ROI( - [x0, y0], [width, height], pen=(209, 230, 27), scaleSnap=True) + roi = pg.ROI([x0, y0], [width, height], pen=(209, 230, 27), scaleSnap=True) roi.addScaleHandle([1, 1], [0, 0]) self.ui.image_view.addItem(roi) self.roi = roi @@ -192,7 +196,7 @@ def display_grid(self): # vertical lines x = x0 index = 0 - while (x <= x0 + width): + while x <= x0 + width: one_edge = [x, y0] other_edge = [x, real_height] pos.append(one_edge) @@ -203,7 +207,7 @@ def display_grid(self): # horizontal lines y = y0 - while (y <= y0 + height): + while y <= y0 + height: one_edge = [x0, y] other_edge = [read_width, y] pos.append(one_edge) @@ -218,13 +222,12 @@ def display_grid(self): line_color = (255, 0, 0, 155, 0.2) lines = np.array( [line_color for n in np.arange(len(pos))], - dtype=[('red', np.ubyte), ('green', np.ubyte), ('blue', np.ubyte), - ('alpha', np.ubyte), ('width', float)]) + dtype=[("red", np.ubyte), ("green", np.ubyte), ("blue", np.ubyte), ("alpha", np.ubyte), ("width", float)], + ) line_view_binning = pg.GraphItem() self.ui.image_view.addItem(line_view_binning) - line_view_binning.setData( - pos=pos, adj=adj, pen=lines, symbol=None, pxMode=False) + line_view_binning.setData(pos=pos, adj=adj, pen=lines, symbol=None, pxMode=False) self.line_view_binning = line_view_binning @@ -232,7 +235,7 @@ def display_grid(self): def load_data(filename): o_norm = Normalization() o_norm.load(file=filename, notebook=False) - data = np.squeeze(o_norm.data['sample']['data'][0]) + data = np.squeeze(o_norm.data["sample"]["data"][0]) return data def get_or_load_data(self, file_index=0): @@ -253,8 +256,7 @@ def rotation_value_changed(self): _file_index = self.ui.file_index_slider.value() _data = self.get_or_load_data(file_index=_file_index) - rotated_data = scipy.ndimage.interpolation.rotate( - _data, _rotation_value) + rotated_data = scipy.ndimage.interpolation.rotate(_data, _rotation_value) # [x0, x1, y0, y1] = self.get_crop_region() # rotated_data = rotated_data[x0:x1, y0:y1] @@ -265,8 +267,7 @@ def rotation_value_changed(self): def get_crop_region(self): data = self.get_selected_image() # data = self.live_data - region = self.roi.getArraySlice(np.transpose(data), - self.ui.image_view.imageItem) + region = self.roi.getArraySlice(np.transpose(data), self.ui.image_view.imageItem) x0 = region[0][0].start x1 = region[0][0].stop - 1 @@ -287,15 +288,16 @@ def rotate_and_crop_all(self): self.rotated_data_dict = {} for file_index in self.data_dict.keys(): data = self.get_selected_image(file_index=file_index) - if float(_rotation_value) != float(0.0): - rotated_data = scipy.ndimage.interpolation.rotate(data, - _rotation_value) + if float(_rotation_value) != 0.0: + rotated_data = scipy.ndimage.interpolation.rotate(data, _rotation_value) rotated_data = rotated_data[y0:y1, x0:x1] else: rotated_data = data[y0:y1, x0:x1] - self.rotated_data_dict[file_index] = {DataDictKeys.filename: self.data_dict[file_index][DataDictKeys.filename], - DataDictKeys.data: rotated_data} + self.rotated_data_dict[file_index] = { + DataDictKeys.filename: self.data_dict[file_index][DataDictKeys.filename], + DataDictKeys.data: rotated_data, + } self.eventProgress.setValue(file_index + 1) QApplication.processEvents() @@ -322,28 +324,27 @@ def closeEvent(self, event=None): rotation_angle = float(str(self.ui.rotation_value.text())) -class Export(object): - - def __init__(self, working_dir='', data_dict=None, rotation_angle=0): +class Export: + def __init__(self, working_dir="", data_dict=None, rotation_angle=0): self.working_dir = working_dir self.data_dict = data_dict self.rotation_angle = rotation_angle def select_folder(self): + display( + HTML( + 'Select where you want to create the rotated images folder!' + ) + ) - display(HTML( - 'Select where you want to create the rotated images folder!')) - - self.output_folder_ui = fileselector.FileSelectorPanel(instruction='Select Output Folder ...', - start_dir=self.working_dir, - type='directory', - next=self.export) + self.output_folder_ui = fileselector.FileSelectorPanel( + instruction="Select Output Folder ...", start_dir=self.working_dir, type="directory", next=self.export + ) self.output_folder_ui.show() def export(self, output_folder): - - new_folder = 'rotated_{}deg'.format(self.rotation_angle) + new_folder = f"rotated_{self.rotation_angle}deg" data_dict = self.data_dict @@ -361,12 +362,11 @@ def export(self, output_folder): data = data_dict[_index][DataDictKeys.data] _base_file_name = os.path.basename(_file) [_base, _] = os.path.splitext(_base_file_name) - _full_file_name = os.path.join(full_output_folder, _base + '.tiff') + _full_file_name = os.path.join(full_output_folder, _base + ".tiff") file_handler.make_tiff(data=data, filename=_full_file_name) w.value = _index + 1 w.close() - display(HTML('')) - display(HTML( - 'Files created in ' + full_output_folder + '')) + display(HTML("")) + display(HTML('Files created in ' + full_output_folder + "")) diff --git a/notebooks/__code/sans/extract.py b/notebooks/__code/sans/extract.py index e280698a..4d38f63d 100755 --- a/notebooks/__code/sans/extract.py +++ b/notebooks/__code/sans/extract.py @@ -1,374 +1,366 @@ -import os import copy -import h5py -from pathlib import Path -from ipywidgets import widgets -from IPython.display import display, clear_output -from IPython.display import HTML +import os from collections import OrderedDict +from pathlib import Path + +import h5py import numpy as np +from IPython.display import HTML, clear_output, display +from ipywidgets import widgets -from __code.ipywe import myfileselector as fileselector -from __code.nexus_handler import get_list_entries from __code.file_folder_browser import FileFolderBrowser -from __code.sans.sans_config import gpsans_parameters, biosans_parameters from __code.file_handler import make_ascii_file +from __code.ipywe import myfileselector as fileselector +from __code.nexus_handler import get_list_entries +from __code.sans.sans_config import biosans_parameters, gpsans_parameters -STARTING_ENTRIES = ['entry', 'DASlogs'] -LIST_SANS_INSTRUMENTS = {'GP-SANS (CG2)': {'unix_name': 'CG2'}, - 'BIO-SANS (CG3)': {'unix_name': 'CG3'}} +STARTING_ENTRIES = ["entry", "DASlogs"] +LIST_SANS_INSTRUMENTS = {"GP-SANS (CG2)": {"unix_name": "CG2"}, "BIO-SANS (CG3)": {"unix_name": "CG3"}} class Initializer: - - def select_instrument(self): - list_instruments = list(LIST_SANS_INSTRUMENTS.keys()) - instrument_ui = widgets.HBox([widgets.Label("Select your instrument", - layout=widgets.Layout(width='15%')), - widgets.Select(options=list_instruments, - layout=widgets.Layout(width='30%', - height='50px'))]) - display(instrument_ui) - self.instrument_list_ui = instrument_ui.children[1] - - def get_working_dir(self): - instrument_name = self.instrument_list_ui.value - short_name = LIST_SANS_INSTRUMENTS[instrument_name]['unix_name'] - full_path = '/HFIR/{}/'.format(short_name) - return full_path - - def get_instrument(self): - return self.instrument_list_ui.value + def select_instrument(self): + list_instruments = list(LIST_SANS_INSTRUMENTS.keys()) + instrument_ui = widgets.HBox( + [ + widgets.Label("Select your instrument", layout=widgets.Layout(width="15%")), + widgets.Select(options=list_instruments, layout=widgets.Layout(width="30%", height="50px")), + ] + ) + display(instrument_ui) + self.instrument_list_ui = instrument_ui.children[1] + + def get_working_dir(self): + instrument_name = self.instrument_list_ui.value + short_name = LIST_SANS_INSTRUMENTS[instrument_name]["unix_name"] + full_path = f"/HFIR/{short_name}/" + return full_path + + def get_instrument(self): + return self.instrument_list_ui.value class Extract(FileFolderBrowser): - first_nexus_selected = '' - widget_height = "400px" - full_list_selected = {} - - def __init__(self, working_dir="./", instrument='GP-SANS (CG2)'): - self.instrument = Extract.get_short_version_instrument(instrument) - super(Extract, self).__init__(working_dir=working_dir) - - if self.instrument == 'CG2': - self.list_parameters = gpsans_parameters - else: - self.list_parameters = biosans_parameters - - self.init_full_list_selected() - self.list_nexus = None - - def init_full_list_selected(self): - for para in self.list_parameters.keys(): - self.full_list_selected[para] = [] - - def select_reductionlog(self): - self.o_file = fileselector.FileSelectorPanelWithJumpFolders(start_dir=self.working_dir, - instruction="Select ReductionLog files", - type='file', - multiple=True, - next=self.display_metadata, - filters={'reductionLog': "*_reduction_log.hdf"}, - default_filter='reductionLog', - show_jump_to_share=False) - - def display_metadata(self, list_nexus): - - self.o_file.shortcut_buttons.close() - self.list_nexus = list_nexus - - self.list_keys = self.retrieve_left_widget_list_keys() - self.list_values = self.retrieve_right_widget_list_keys(left_widget_key_selected=list(self.list_keys)[0]) - - # search box - search_box = widgets.HBox([widgets.Label("Search:"), - widgets.Text("", - layout=widgets.Layout(width="30%"))]) - # search_text_widget = search_box.children[1] - # search_text_widget.observe(self.search_text_changed, names='value') - - # list of keys - hori_box = widgets.HBox([widgets.Select(options=self.list_keys, - layout=widgets.Layout(width="400px", - height=self.widget_height)), - widgets.SelectMultiple(options=self.list_values, - layout=widgets.Layout(width="400px", - height=self.widget_height))], - ) - display(hori_box) - [self.left_widget_ui, self.right_widget_ui] = hori_box.children - self.left_widget_ui.observe(self.left_widget_changed, names='value') - self.right_widget_ui.observe(self.right_widget_changed, names='value') - - display(widgets.Label("Command + Click: to select more than 1 element in the right widget")) - - def left_widget_changed(self, new_value): - value_selected = new_value['new'] - right_value = self.list_parameters[value_selected]['list'] - self.right_widget_ui.options = right_value - self.right_widget_ui.value = self.full_list_selected[value_selected] - - def get_left_widget_selected(self): - value_selected = self.left_widget_ui.value - return value_selected - - def right_widget_changed(self, new_value): - list_new_value_selected = new_value['new'] - left_widget_value = self.get_left_widget_selected() - self.full_list_selected[left_widget_value] = list_new_value_selected - - def retrieve_left_widget_list_keys(self): - return self.list_parameters.keys() - - def retrieve_right_widget_list_keys(self, left_widget_key_selected=None): - if left_widget_key_selected is None: - left_widget_key_selected = self.left_widget_ui.value - return self.list_parameters[left_widget_key_selected]['list'] - - def search_text_changed(self, value): - pass - - def select_metadata(self, list_nexus=None): - if list_nexus is None: - return - - self.list_nexus = list_nexus - - self.first_nexus_selected = list_nexus[0] - self.dict_daslogs_keys = get_list_entries(nexus_file_name=self.first_nexus_selected, - starting_entries=STARTING_ENTRIES) - - self.display_widgets() - - def export(self): - self.output_folder_ui = fileselector.FileSelectorPanelWithJumpFolders( - instruction='select where to create the ' + \ - 'ascii file', - start_dir=self.working_dir, - next=self.extract_all_in_one, - type='directory', - newdir_toolbar_button=True, - show_jump_to_share=False) - - @staticmethod - def reformat_dict(full_dict): - ''' - we need to go from {'nexus1': {'path1': value1', 'path2': value2}, - ...} - to - {'path1': {'nexus1': value1, 'nexus2': value2}, - ...} - ''' - new_full_dict = OrderedDict() - for _nexus_key in full_dict.keys(): - for _path_key in full_dict[_nexus_key].keys(): - _value = full_dict[_nexus_key][_path_key] - if not (_path_key in new_full_dict.keys()): - new_full_dict[_path_key] = OrderedDict() - new_full_dict[_path_key][_nexus_key] = _value - - return new_full_dict - - def extract_all_in_one(self, output_folder): - - display(HTML('Work in progress ... ')) - - self.output_folder_ui.shortcut_buttons.close() - output_file_name = Extract.create_output_file_name(output_folder=output_folder, - nbr_nexus=len(self.list_nexus)) - full_list_selected = self.full_list_selected - - # get list of path - list_entry_path = [] - for top_key in full_list_selected.keys(): - top_path = copy.deepcopy(self.list_parameters[top_key]['path']) - for inside_key in full_list_selected[top_key]: - full_path = copy.deepcopy(top_path) - full_path.append(inside_key) - # metadata_tag = "# {} -> {}".format(top_key, inside_key) - list_entry_path.append(full_path) - - list_nexus = self.list_nexus - metadata = [] - label_of_columns = [] - for _index, _nexus in enumerate(list_nexus): - _line = [_nexus] - - if _index == 0: - label_of_columns.append("nexus name") - reduction_log_dict = Extract.get_entry_value(nexus_file_name=_nexus, - list_entry_path=list_entry_path) - for _key in reduction_log_dict.keys(): - _value = reduction_log_dict[_key] - # print(f"-> _key:{_key}: {_value}") - # print(f"--> type(_value): {type(_value)}") - - if type(_value) is str: - if _index == 0: - label_of_columns.append(_key) - _line.append(_value) - elif type(_value) is list: - if _index == 0: - label_of_columns.append(_key) - array_value = np.array(_value) - _line.append("{}".format(np.mean(array_value))) - elif type(_value) is dict: - for _inside_key in _value.keys(): - if _index == 0: - label_of_columns.append("{}/{}".format(_key, _inside_key)) - _line.append("{}".format(np.mean(_value[_inside_key]))) - - metadata.append(", ".join(_line)) - - label_of_columns = ", ".join(label_of_columns) - - final_metadata = [label_of_columns] - for _meta in metadata: - final_metadata.append(_meta) - - make_ascii_file(metadata=final_metadata, - output_file_name=output_file_name) - - clear_output(wait=False) - display(HTML('The following ASCII file has been created: ' + - '' + output_file_name + '')) - - @staticmethod - def update_metadata(list_metadata, metadata): - - if type(list_metadata[0]) == list: - - # get the first element of each array, then the second of each array ... - index = 0 - while index < len(list_metadata[0]): - line = [] - for _array in list_metadata: - if index > (len(_array)-1): - line.append("N/A") - else: - line.append(_array[index]) - line = [str(val) for val in line] - line_formatted = ", ".join(line) - metadata.append(line_formatted) - index += 1 - # return metadata - - if type(list_metadata[0]) == str: - line = ", ".join(list_metadata) - metadata.append(line) - # return metadata - - if type(list_metadata[0]) == dict: - - # work with each dictionary key, one at a time - for _key in list_metadata[0].keys(): - each_key_line = [] - metadata.append("# {}".format(_key)) - for _array in list_metadata: - each_key_line.append(_array[_key]) - each_key_line = [str(val) for val in each_key_line] - line_formatted = ", ".join(each_key_line) - metadata.append(line_formatted) - - def makeup_output_file_name(self, nexus_file_name='', output_folder='./'): - short_nexus_file_name = os.path.basename(nexus_file_name) - base_name, ext = os.path.splitext(short_nexus_file_name) - new_name = str(Path(output_folder) / "{}_extracted.txt".format(base_name)) - return new_name - - @staticmethod - def create_output_file_name(output_folder='./', nbr_nexus=0): - clean_output_folder = os.path.abspath(output_folder) - short_file_name = "metadata_from_{}_nexus.txt".format(nbr_nexus) - return str(Path(clean_output_folder) / short_file_name) - - @staticmethod - def get_short_version_instrument(instrument): - if 'CG2' in instrument: - return 'CG2' - else: - return 'CG3' - - @staticmethod - def get_entry_value(nexus_file_name=None, list_entry_path=None): - ''' - - :param nexus_file_name: hdf5 full file path - :param entry_path: full path through the file to retrieve the information - example: ['entry', 'DASlogs', 'PV1', 'value'] - :return: value at the given path in the hdf5 file - ''' - - if nexus_file_name is None: - raise ValueError("Please provide a full path to a nexus file name!") - - if not Path(nexus_file_name).exists(): - raise ValueError("File do not exist!") - - result_dict = OrderedDict() - with h5py.File(nexus_file_name, 'r') as nxs: - - for _entry_path in list_entry_path: - - id = "_".join(_entry_path) - - nxs_path = None - try: - nxs_path = nxs - for _item in _entry_path: - nxs_path = nxs_path.get(_item) - - except AttributeError: - result_dict[id] = None - - # format output - if nxs_path is None: - result_dict[id] = nxs_path - - elif type(nxs_path) == h5py._hl.group.Group: - result = {} - for _key in nxs_path.keys(): - value = nxs_path.get(_key) - if type(value) == h5py._hl.dataset.Dataset: - result[_key] = np.squeeze(value[()]) - else: - result[_key] = value - - result_dict[id] = result - - elif type(nxs_path) == h5py._hl.dataset.Dataset: - formated_data = Extract.format_array(nxs_path[()]) - result_dict[id] = formated_data - - return result_dict - - @staticmethod - def format_array(str_array): - - if type(str_array) == float64: - return str_array - - if str_array[0] == '[': - # it's supposed to be an array - - # remove '[' and ']' - format1 = str_array[1:-1] - # split by space - format2 = format1.split(" ") - # remove \n - format3 = [] - for val in format2: - try: - new_val = float(val.strip()) - except ValueError: - new_val = str(val.strip()) - format3.append(new_val) - return format3 - - else: - # it's just a string - return str_array - - - - + first_nexus_selected = "" + widget_height = "400px" + full_list_selected = {} + + def __init__(self, working_dir="./", instrument="GP-SANS (CG2)"): + self.instrument = Extract.get_short_version_instrument(instrument) + super(Extract, self).__init__(working_dir=working_dir) + + if self.instrument == "CG2": + self.list_parameters = gpsans_parameters + else: + self.list_parameters = biosans_parameters + + self.init_full_list_selected() + self.list_nexus = None + + def init_full_list_selected(self): + for para in self.list_parameters.keys(): + self.full_list_selected[para] = [] + + def select_reductionlog(self): + self.o_file = fileselector.FileSelectorPanelWithJumpFolders( + start_dir=self.working_dir, + instruction="Select ReductionLog files", + type="file", + multiple=True, + next=self.display_metadata, + filters={"reductionLog": "*_reduction_log.hdf"}, + default_filter="reductionLog", + show_jump_to_share=False, + ) + + def display_metadata(self, list_nexus): + self.o_file.shortcut_buttons.close() + self.list_nexus = list_nexus + + self.list_keys = self.retrieve_left_widget_list_keys() + self.list_values = self.retrieve_right_widget_list_keys(left_widget_key_selected=list(self.list_keys)[0]) + + # search box + search_box = widgets.HBox([widgets.Label("Search:"), widgets.Text("", layout=widgets.Layout(width="30%"))]) + # search_text_widget = search_box.children[1] + # search_text_widget.observe(self.search_text_changed, names='value') + + # list of keys + hori_box = widgets.HBox( + [ + widgets.Select(options=self.list_keys, layout=widgets.Layout(width="400px", height=self.widget_height)), + widgets.SelectMultiple( + options=self.list_values, layout=widgets.Layout(width="400px", height=self.widget_height) + ), + ], + ) + display(hori_box) + [self.left_widget_ui, self.right_widget_ui] = hori_box.children + self.left_widget_ui.observe(self.left_widget_changed, names="value") + self.right_widget_ui.observe(self.right_widget_changed, names="value") + + display(widgets.Label("Command + Click: to select more than 1 element in the right widget")) + + def left_widget_changed(self, new_value): + value_selected = new_value["new"] + right_value = self.list_parameters[value_selected]["list"] + self.right_widget_ui.options = right_value + self.right_widget_ui.value = self.full_list_selected[value_selected] + + def get_left_widget_selected(self): + value_selected = self.left_widget_ui.value + return value_selected + + def right_widget_changed(self, new_value): + list_new_value_selected = new_value["new"] + left_widget_value = self.get_left_widget_selected() + self.full_list_selected[left_widget_value] = list_new_value_selected + + def retrieve_left_widget_list_keys(self): + return self.list_parameters.keys() + + def retrieve_right_widget_list_keys(self, left_widget_key_selected=None): + if left_widget_key_selected is None: + left_widget_key_selected = self.left_widget_ui.value + return self.list_parameters[left_widget_key_selected]["list"] + + def search_text_changed(self, value): + pass + + def select_metadata(self, list_nexus=None): + if list_nexus is None: + return + + self.list_nexus = list_nexus + + self.first_nexus_selected = list_nexus[0] + self.dict_daslogs_keys = get_list_entries( + nexus_file_name=self.first_nexus_selected, starting_entries=STARTING_ENTRIES + ) + + self.display_widgets() + + def export(self): + self.output_folder_ui = fileselector.FileSelectorPanelWithJumpFolders( + instruction="select where to create the " + "ascii file", + start_dir=self.working_dir, + next=self.extract_all_in_one, + type="directory", + newdir_toolbar_button=True, + show_jump_to_share=False, + ) + + @staticmethod + def reformat_dict(full_dict): + """ + we need to go from {'nexus1': {'path1': value1', 'path2': value2}, + ...} + to + {'path1': {'nexus1': value1, 'nexus2': value2}, + ...} + """ + new_full_dict = OrderedDict() + for _nexus_key in full_dict.keys(): + for _path_key in full_dict[_nexus_key].keys(): + _value = full_dict[_nexus_key][_path_key] + if _path_key not in new_full_dict.keys(): + new_full_dict[_path_key] = OrderedDict() + new_full_dict[_path_key][_nexus_key] = _value + + return new_full_dict + + def extract_all_in_one(self, output_folder): + display(HTML('Work in progress ... ')) + + self.output_folder_ui.shortcut_buttons.close() + output_file_name = Extract.create_output_file_name(output_folder=output_folder, nbr_nexus=len(self.list_nexus)) + full_list_selected = self.full_list_selected + + # get list of path + list_entry_path = [] + for top_key in full_list_selected.keys(): + top_path = copy.deepcopy(self.list_parameters[top_key]["path"]) + for inside_key in full_list_selected[top_key]: + full_path = copy.deepcopy(top_path) + full_path.append(inside_key) + # metadata_tag = "# {} -> {}".format(top_key, inside_key) + list_entry_path.append(full_path) + + list_nexus = self.list_nexus + metadata = [] + label_of_columns = [] + for _index, _nexus in enumerate(list_nexus): + _line = [_nexus] + + if _index == 0: + label_of_columns.append("nexus name") + reduction_log_dict = Extract.get_entry_value(nexus_file_name=_nexus, list_entry_path=list_entry_path) + for _key in reduction_log_dict.keys(): + _value = reduction_log_dict[_key] + # print(f"-> _key:{_key}: {_value}") + # print(f"--> type(_value): {type(_value)}") + + if type(_value) is str: + if _index == 0: + label_of_columns.append(_key) + _line.append(_value) + elif type(_value) is list: + if _index == 0: + label_of_columns.append(_key) + array_value = np.array(_value) + _line.append(f"{np.mean(array_value)}") + elif type(_value) is dict: + for _inside_key in _value.keys(): + if _index == 0: + label_of_columns.append(f"{_key}/{_inside_key}") + _line.append(f"{np.mean(_value[_inside_key])}") + + metadata.append(", ".join(_line)) + + label_of_columns = ", ".join(label_of_columns) + + final_metadata = [label_of_columns] + for _meta in metadata: + final_metadata.append(_meta) + + make_ascii_file(metadata=final_metadata, output_file_name=output_file_name) + + clear_output(wait=False) + display( + HTML( + 'The following ASCII file has been created: ' + + '' + + output_file_name + + "" + ) + ) + + @staticmethod + def update_metadata(list_metadata, metadata): + if type(list_metadata[0]) == list: + # get the first element of each array, then the second of each array ... + index = 0 + while index < len(list_metadata[0]): + line = [] + for _array in list_metadata: + if index > (len(_array) - 1): + line.append("N/A") + else: + line.append(_array[index]) + line = [str(val) for val in line] + line_formatted = ", ".join(line) + metadata.append(line_formatted) + index += 1 + # return metadata + + if type(list_metadata[0]) == str: + line = ", ".join(list_metadata) + metadata.append(line) + # return metadata + + if type(list_metadata[0]) == dict: + # work with each dictionary key, one at a time + for _key in list_metadata[0].keys(): + each_key_line = [] + metadata.append(f"# {_key}") + for _array in list_metadata: + each_key_line.append(_array[_key]) + each_key_line = [str(val) for val in each_key_line] + line_formatted = ", ".join(each_key_line) + metadata.append(line_formatted) + + def makeup_output_file_name(self, nexus_file_name="", output_folder="./"): + short_nexus_file_name = os.path.basename(nexus_file_name) + base_name, ext = os.path.splitext(short_nexus_file_name) + new_name = str(Path(output_folder) / f"{base_name}_extracted.txt") + return new_name + + @staticmethod + def create_output_file_name(output_folder="./", nbr_nexus=0): + clean_output_folder = os.path.abspath(output_folder) + short_file_name = f"metadata_from_{nbr_nexus}_nexus.txt" + return str(Path(clean_output_folder) / short_file_name) + + @staticmethod + def get_short_version_instrument(instrument): + if "CG2" in instrument: + return "CG2" + else: + return "CG3" + + @staticmethod + def get_entry_value(nexus_file_name=None, list_entry_path=None): + """ + + :param nexus_file_name: hdf5 full file path + :param entry_path: full path through the file to retrieve the information + example: ['entry', 'DASlogs', 'PV1', 'value'] + :return: value at the given path in the hdf5 file + """ + + if nexus_file_name is None: + raise ValueError("Please provide a full path to a nexus file name!") + + if not Path(nexus_file_name).exists(): + raise ValueError("File do not exist!") + + result_dict = OrderedDict() + with h5py.File(nexus_file_name, "r") as nxs: + for _entry_path in list_entry_path: + id = "_".join(_entry_path) + + nxs_path = None + try: + nxs_path = nxs + for _item in _entry_path: + nxs_path = nxs_path.get(_item) + + except AttributeError: + result_dict[id] = None + + # format output + if nxs_path is None: + result_dict[id] = nxs_path + + elif type(nxs_path) == h5py._hl.group.Group: + result = {} + for _key in nxs_path.keys(): + value = nxs_path.get(_key) + if type(value) == h5py._hl.dataset.Dataset: + result[_key] = np.squeeze(value[()]) + else: + result[_key] = value + + result_dict[id] = result + + elif type(nxs_path) == h5py._hl.dataset.Dataset: + formated_data = Extract.format_array(nxs_path[()]) + result_dict[id] = formated_data + + return result_dict + + @staticmethod + def format_array(str_array): + if type(str_array) == float64: + return str_array + + if str_array[0] == "[": + # it's supposed to be an array + + # remove '[' and ']' + format1 = str_array[1:-1] + # split by space + format2 = format1.split(" ") + # remove \n + format3 = [] + for val in format2: + try: + new_val = float(val.strip()) + except ValueError: + new_val = str(val.strip()) + format3.append(new_val) + return format3 + + else: + # it's just a string + return str_array diff --git a/notebooks/__code/sans/sans_config.py b/notebooks/__code/sans/sans_config.py index 84db93cd..71f26c5c 100755 --- a/notebooks/__code/sans/sans_config.py +++ b/notebooks/__code/sans/sans_config.py @@ -1,362 +1,364 @@ biosans_parameters = { - 'special_parameters': {'list': ['sample_transmission', - 'background_transmission', - 'beam_center', - 'beam_center_wing', - 'transmission_radius_used (mm)'], - 'path': ['reduction_information', 'special_parameters'], - }, - 'sample_logs': {'path': - ['reduction_information', 'sample_logs', 'main'], - 'list': [ - 'CollGV', - 'CollGV_State', - 'CryoMode', - 'CryoSample', - 'CryoSampleReadback', - 'CryoVTI', - 'CryoVTIReadback', - 'CryoValve', - 'DLambdaReq', - 'Filename', - 'He3Insert1', - 'He3Insert2', - 'He3InsertSeq', - 'He3_high', - 'He3_low', - 'ILLFurnace', - 'ILLFurnaceRampRate', - 'ILLFurnaceSample', - 'LambdaReq', - 'MagF_Current', - 'MagGField', - 'MagGSetPoint', - 'MagHField', - 'MagHSetPoint', - 'NumberOfFormulaUnits', - 'Peltier1SampleTemp', - 'Peltier1SampleTempRequest', - 'Peltier2SampleTemp', - 'Peltier2SampleTempRequest', - 'Peltier3SampleTemp', - 'Peltier3SampleTempRequest', - 'Peltier4SampleTemp', - 'Peltier4SampleTempRequest', - 'Poly1Temp', - 'Poly1TempSP', - 'Poly2Temp', - 'Poly2TempSP', - 'SampleComments', - 'SampleContainer', - 'SampleDensity', - 'SampleDescription', - 'SampleFormula', - 'SampleId', - 'SampleMass', - 'SampleName', - 'SampleNature', - 'SecondaryShutter_State', - 'ShearRate', - 'ShearStress', - 'Sorb', - 'Strain', - 'Torque', - 'Watlow1ControlMode', - 'Watlow1ManualOutput', - 'Watlow1SetPoint', - 'Watlow1Temperature', - 'Watlow2ControlMode', - 'Watlow2ManualOutput', - 'Watlow2SetPoint', - 'Watlow2Temperature', - 'Watlow3ControlMode', - 'Watlow3ManualOutput', - 'Watlow3SetPoint', - 'Watlow3Temperature', - 'Watlow4ControlMode', - 'Watlow4ManualOutput', - 'Watlow4SetPoint', - 'Watlow4Temperature', - 'attenuator', - 'attn_Power', - 'attn_pos_Readback', - 'background', - 'bt_is_blocking', - 'composition', - 'composition_concentration', - 'configuration_path', - 'cycle_number', - 'dcal', - 'dcal_Readback', - 'detector_trans', - 'detector_trans_Readback', - 'duration', - 'end_time', - 'experiment_identifier', - 'file_notes', - 'flange_det_dist', - 'flange_det_dist_Readback', - 'frequency', - 'magg_rot', - 'magg_rot_Readback', - 'magr', - 'magr_Readback', - 'magv', - 'magv_Readback', - 'monitor', - 'nguides', - 'nguides_State', - 'p_insertion_omega', - 'p_insertion_omega_Readback', - 'p_insertion_x', - 'p_insertion_x_Readback', - 'p_insertion_z', - 'p_insertion_z_Readback', - 'p_rotation', - 'p_rotation_Readback', - 'p_translation', - 'p_translation_Readback', - 'p_z_axis', - 'p_z_axis_Readback', - 'pause', - 'run_number', - 'run_start', - 'run_title', - 'salt', - 'salt_concentration', - 'sample-detector-distance', - 'sample_aperture_diameter', - 'sample_aperture_sample_distance', - 'sample_changer_name', - 'sample_changer_pos', - 'sample_changer_pos_Readback', - 'sample_detector_distance', - 'sample_env', - 'sample_offset', - 'sample_temp', - 'sample_thickness', - 'sample_title', - 'sample_type', - 'scan_index', - 'scr', - 'scr_Readback', - 'sct', - 'sct_Readback', - 'scx', - 'scx_Readback', - 'solvent', - 'solvent_ratio', - 'source-sample-distance', - 'source_aperture_diameter', - 'source_aperture_sample_aperture_distance', - 'srot', - 'srot_Readback', - 'start_time', - 'tilt', - 'tilt_Readback', - 'trans', - 'trans_Readback', - 'trans_scatt', - 'trap_x', - 'trap_x_Readback', - 'trap_y101', - 'trap_y101_Readback', - 'trap_y25', - 'trap_y25_Readback', - 'trap_y50', - 'trap_y50_Readback', - 'trap_y76', - 'trap_y76_Readback', - 'tumbler', - 'tumblerState', - 'vert', - 'vert_Readback', - 'vs_speed_Readback', - 'vs_tilt', - 'vs_tilt_Readback', - 'wavelength', - 'wavelength_spread', - ], - }, - } + "special_parameters": { + "list": [ + "sample_transmission", + "background_transmission", + "beam_center", + "beam_center_wing", + "transmission_radius_used (mm)", + ], + "path": ["reduction_information", "special_parameters"], + }, + "sample_logs": { + "path": ["reduction_information", "sample_logs", "main"], + "list": [ + "CollGV", + "CollGV_State", + "CryoMode", + "CryoSample", + "CryoSampleReadback", + "CryoVTI", + "CryoVTIReadback", + "CryoValve", + "DLambdaReq", + "Filename", + "He3Insert1", + "He3Insert2", + "He3InsertSeq", + "He3_high", + "He3_low", + "ILLFurnace", + "ILLFurnaceRampRate", + "ILLFurnaceSample", + "LambdaReq", + "MagF_Current", + "MagGField", + "MagGSetPoint", + "MagHField", + "MagHSetPoint", + "NumberOfFormulaUnits", + "Peltier1SampleTemp", + "Peltier1SampleTempRequest", + "Peltier2SampleTemp", + "Peltier2SampleTempRequest", + "Peltier3SampleTemp", + "Peltier3SampleTempRequest", + "Peltier4SampleTemp", + "Peltier4SampleTempRequest", + "Poly1Temp", + "Poly1TempSP", + "Poly2Temp", + "Poly2TempSP", + "SampleComments", + "SampleContainer", + "SampleDensity", + "SampleDescription", + "SampleFormula", + "SampleId", + "SampleMass", + "SampleName", + "SampleNature", + "SecondaryShutter_State", + "ShearRate", + "ShearStress", + "Sorb", + "Strain", + "Torque", + "Watlow1ControlMode", + "Watlow1ManualOutput", + "Watlow1SetPoint", + "Watlow1Temperature", + "Watlow2ControlMode", + "Watlow2ManualOutput", + "Watlow2SetPoint", + "Watlow2Temperature", + "Watlow3ControlMode", + "Watlow3ManualOutput", + "Watlow3SetPoint", + "Watlow3Temperature", + "Watlow4ControlMode", + "Watlow4ManualOutput", + "Watlow4SetPoint", + "Watlow4Temperature", + "attenuator", + "attn_Power", + "attn_pos_Readback", + "background", + "bt_is_blocking", + "composition", + "composition_concentration", + "configuration_path", + "cycle_number", + "dcal", + "dcal_Readback", + "detector_trans", + "detector_trans_Readback", + "duration", + "end_time", + "experiment_identifier", + "file_notes", + "flange_det_dist", + "flange_det_dist_Readback", + "frequency", + "magg_rot", + "magg_rot_Readback", + "magr", + "magr_Readback", + "magv", + "magv_Readback", + "monitor", + "nguides", + "nguides_State", + "p_insertion_omega", + "p_insertion_omega_Readback", + "p_insertion_x", + "p_insertion_x_Readback", + "p_insertion_z", + "p_insertion_z_Readback", + "p_rotation", + "p_rotation_Readback", + "p_translation", + "p_translation_Readback", + "p_z_axis", + "p_z_axis_Readback", + "pause", + "run_number", + "run_start", + "run_title", + "salt", + "salt_concentration", + "sample-detector-distance", + "sample_aperture_diameter", + "sample_aperture_sample_distance", + "sample_changer_name", + "sample_changer_pos", + "sample_changer_pos_Readback", + "sample_detector_distance", + "sample_env", + "sample_offset", + "sample_temp", + "sample_thickness", + "sample_title", + "sample_type", + "scan_index", + "scr", + "scr_Readback", + "sct", + "sct_Readback", + "scx", + "scx_Readback", + "solvent", + "solvent_ratio", + "source-sample-distance", + "source_aperture_diameter", + "source_aperture_sample_aperture_distance", + "srot", + "srot_Readback", + "start_time", + "tilt", + "tilt_Readback", + "trans", + "trans_Readback", + "trans_scatt", + "trap_x", + "trap_x_Readback", + "trap_y101", + "trap_y101_Readback", + "trap_y25", + "trap_y25_Readback", + "trap_y50", + "trap_y50_Readback", + "trap_y76", + "trap_y76_Readback", + "tumbler", + "tumblerState", + "vert", + "vert_Readback", + "vs_speed_Readback", + "vs_tilt", + "vs_tilt_Readback", + "wavelength", + "wavelength_spread", + ], + }, +} -gpsans_parameters = {'special_parameters': {'list': ['sample_transmission', - 'background_transmission', - 'beam_center', - 'transmission_radius_used (mm)'], - 'path': ['reduction_information', 'special_parameters'], - }, - 'sample_logs': {'path': - ['reduction_information', 'sample_logs', 'main'], - 'list': [ - 'CollGV', - 'CollGV_State', - 'CryoMode', - 'CryoSample', - 'CryoSampleReadback', - 'CryoVTI', - 'CryoVTIReadback', - 'CryoValve', - 'DLambdaReq', - 'Filename', - 'He3Insert1', - 'He3Insert2', - 'He3InsertSeq', - 'He3_high', - 'He3_low', - 'ILLFurnace', - 'ILLFurnaceRampRate', - 'ILLFurnaceSample', - 'LambdaReq', - 'MagF_Current', - 'MagGField', - 'MagGSetPoint', - 'MagHField', - 'MagHSetPoint', - 'NumberOfFormulaUnits', - 'Peltier1SampleTemp', - 'Peltier1SampleTempRequest', - 'Peltier2SampleTemp', - 'Peltier2SampleTempRequest', - 'Peltier3SampleTemp', - 'Peltier3SampleTempRequest', - 'Peltier4SampleTemp', - 'Peltier4SampleTempRequest', - 'Poly1Temp', - 'Poly1TempSP', - 'Poly2Temp', - 'Poly2TempSP', - 'SampleComments', - 'SampleContainer', - 'SampleDensity', - 'SampleDescription', - 'SampleFormula', - 'SampleId', - 'SampleMass', - 'SampleName', - 'SampleNature', - 'SecondaryShutter_State', - 'ShearRate', - 'ShearStress', - 'Sorb', - 'Strain', - 'Torque', - 'Watlow1ControlMode', - 'Watlow1ManualOutput', - 'Watlow1SetPoint', - 'Watlow1Temperature', - 'Watlow2ControlMode', - 'Watlow2ManualOutput', - 'Watlow2SetPoint', - 'Watlow2Temperature', - 'Watlow3ControlMode', - 'Watlow3ManualOutput', - 'Watlow3SetPoint', - 'Watlow3Temperature', - 'Watlow4ControlMode', - 'Watlow4ManualOutput', - 'Watlow4SetPoint', - 'Watlow4Temperature', - 'attenuator', - 'attn_Power', - 'attn_pos_Readback', - 'background', - 'bt_is_blocking', - 'composition', - 'composition_concentration', - 'configuration_path', - 'cycle_number', - 'dcal', - 'dcal_Readback', - 'detector_trans', - 'detector_trans_Readback', - 'duration', - 'end_time', - 'experiment_identifier', - 'file_notes', - 'flange_det_dist', - 'flange_det_dist_Readback', - 'frequency', - 'magg_rot', - 'magg_rot_Readback', - 'magr', - 'magr_Readback', - 'magv', - 'magv_Readback', - 'monitor', - 'nguides', - 'nguides_State', - 'p_insertion_omega', - 'p_insertion_omega_Readback', - 'p_insertion_x', - 'p_insertion_x_Readback', - 'p_insertion_z', - 'p_insertion_z_Readback', - 'p_rotation', - 'p_rotation_Readback', - 'p_translation', - 'p_translation_Readback', - 'p_z_axis', - 'p_z_axis_Readback', - 'pause', - 'run_number', - 'run_start', - 'run_title', - 'salt', - 'salt_concentration', - 'sample-detector-distance', - 'sample_aperture_diameter', - 'sample_aperture_sample_distance', - 'sample_changer_name', - 'sample_changer_pos', - 'sample_changer_pos_Readback', - 'sample_detector_distance', - 'sample_env', - 'sample_offset', - 'sample_temp', - 'sample_thickness', - 'sample_title', - 'sample_type', - 'scan_index', - 'scr', - 'scr_Readback', - 'sct', - 'sct_Readback', - 'scx', - 'scx_Readback', - 'solvent', - 'solvent_ratio', - 'source-sample-distance', - 'source_aperture_diameter', - 'source_aperture_sample_aperture_distance', - 'srot', - 'srot_Readback', - 'start_time', - 'tilt', - 'tilt_Readback', - 'trans', - 'trans_Readback', - 'trans_scatt', - 'trap_x', - 'trap_x_Readback', - 'trap_y101', - 'trap_y101_Readback', - 'trap_y25', - 'trap_y25_Readback', - 'trap_y50', - 'trap_y50_Readback', - 'trap_y76', - 'trap_y76_Readback', - 'tumbler', - 'tumblerState', - 'vert', - 'vert_Readback', - 'vs_speed_Readback', - 'vs_tilt', - 'vs_tilt_Readback', - 'wavelength', - 'wavelength_spread', - ], - }, - } +gpsans_parameters = { + "special_parameters": { + "list": ["sample_transmission", "background_transmission", "beam_center", "transmission_radius_used (mm)"], + "path": ["reduction_information", "special_parameters"], + }, + "sample_logs": { + "path": ["reduction_information", "sample_logs", "main"], + "list": [ + "CollGV", + "CollGV_State", + "CryoMode", + "CryoSample", + "CryoSampleReadback", + "CryoVTI", + "CryoVTIReadback", + "CryoValve", + "DLambdaReq", + "Filename", + "He3Insert1", + "He3Insert2", + "He3InsertSeq", + "He3_high", + "He3_low", + "ILLFurnace", + "ILLFurnaceRampRate", + "ILLFurnaceSample", + "LambdaReq", + "MagF_Current", + "MagGField", + "MagGSetPoint", + "MagHField", + "MagHSetPoint", + "NumberOfFormulaUnits", + "Peltier1SampleTemp", + "Peltier1SampleTempRequest", + "Peltier2SampleTemp", + "Peltier2SampleTempRequest", + "Peltier3SampleTemp", + "Peltier3SampleTempRequest", + "Peltier4SampleTemp", + "Peltier4SampleTempRequest", + "Poly1Temp", + "Poly1TempSP", + "Poly2Temp", + "Poly2TempSP", + "SampleComments", + "SampleContainer", + "SampleDensity", + "SampleDescription", + "SampleFormula", + "SampleId", + "SampleMass", + "SampleName", + "SampleNature", + "SecondaryShutter_State", + "ShearRate", + "ShearStress", + "Sorb", + "Strain", + "Torque", + "Watlow1ControlMode", + "Watlow1ManualOutput", + "Watlow1SetPoint", + "Watlow1Temperature", + "Watlow2ControlMode", + "Watlow2ManualOutput", + "Watlow2SetPoint", + "Watlow2Temperature", + "Watlow3ControlMode", + "Watlow3ManualOutput", + "Watlow3SetPoint", + "Watlow3Temperature", + "Watlow4ControlMode", + "Watlow4ManualOutput", + "Watlow4SetPoint", + "Watlow4Temperature", + "attenuator", + "attn_Power", + "attn_pos_Readback", + "background", + "bt_is_blocking", + "composition", + "composition_concentration", + "configuration_path", + "cycle_number", + "dcal", + "dcal_Readback", + "detector_trans", + "detector_trans_Readback", + "duration", + "end_time", + "experiment_identifier", + "file_notes", + "flange_det_dist", + "flange_det_dist_Readback", + "frequency", + "magg_rot", + "magg_rot_Readback", + "magr", + "magr_Readback", + "magv", + "magv_Readback", + "monitor", + "nguides", + "nguides_State", + "p_insertion_omega", + "p_insertion_omega_Readback", + "p_insertion_x", + "p_insertion_x_Readback", + "p_insertion_z", + "p_insertion_z_Readback", + "p_rotation", + "p_rotation_Readback", + "p_translation", + "p_translation_Readback", + "p_z_axis", + "p_z_axis_Readback", + "pause", + "run_number", + "run_start", + "run_title", + "salt", + "salt_concentration", + "sample-detector-distance", + "sample_aperture_diameter", + "sample_aperture_sample_distance", + "sample_changer_name", + "sample_changer_pos", + "sample_changer_pos_Readback", + "sample_detector_distance", + "sample_env", + "sample_offset", + "sample_temp", + "sample_thickness", + "sample_title", + "sample_type", + "scan_index", + "scr", + "scr_Readback", + "sct", + "sct_Readback", + "scx", + "scx_Readback", + "solvent", + "solvent_ratio", + "source-sample-distance", + "source_aperture_diameter", + "source_aperture_sample_aperture_distance", + "srot", + "srot_Readback", + "start_time", + "tilt", + "tilt_Readback", + "trans", + "trans_Readback", + "trans_scatt", + "trap_x", + "trap_x_Readback", + "trap_y101", + "trap_y101_Readback", + "trap_y25", + "trap_y25_Readback", + "trap_y50", + "trap_y50_Readback", + "trap_y76", + "trap_y76_Readback", + "tumbler", + "tumblerState", + "vert", + "vert_Readback", + "vs_speed_Readback", + "vs_tilt", + "vs_tilt_Readback", + "wavelength", + "wavelength_spread", + ], + }, +} diff --git a/notebooks/__code/scale_overlapping_images.py b/notebooks/__code/scale_overlapping_images.py index f587abdc..6907276f 100755 --- a/notebooks/__code/scale_overlapping_images.py +++ b/notebooks/__code/scale_overlapping_images.py @@ -1,37 +1,33 @@ -from IPython.display import HTML -from IPython.display import display +import collections +import os import numpy as np -import os -import copy -import collections import pyqtgraph as pg +from IPython.display import HTML, display from skimage import transform try: - from PyQt4.QtGui import QFileDialog from PyQt4 import QtCore, QtGui, QtWidgets - from PyQt4.QtGui import QMainWindow, QDialog + from PyQt4.QtGui import QDialog, QFileDialog, QMainWindow except ImportError: - from PyQt5.QtWidgets import QFileDialog - from PyQt5 import QtCore, QtGui, QtWidgets - from PyQt5.QtWidgets import QApplication, QMainWindow, QDialog + from PyQt5 import QtCore, QtGui + from PyQt5.QtWidgets import QFileDialog, QMainWindow try: _fromUtf8 = QtCore.QString.fromUtf8 except AttributeError: + def _fromUtf8(s): return s -from __code._utilities.color import Color -from __code.file_handler import retrieve_time_stamp, make_ascii_file -from __code.ui_scale_overlapping_images import Ui_MainWindow as UiMainWindow + +from __code._utilities.color import Color from __code.decorators import wait_cursor -from __code.file_handler import make_ascii_file +from __code.file_handler import make_ascii_file, retrieve_time_stamp +from __code.ui_scale_overlapping_images import Ui_MainWindow as UiMainWindow class ScaleOverlappingImagesUi(QMainWindow): - data_dict = {} data_dict_raw = {} timestamp_dict = {} @@ -46,10 +42,7 @@ class ScaleOverlappingImagesUi(QMainWindow): summary_table_width = [300, 150, 100] live_image = [] - grid_view = {'pos': None, - 'adj': None, - 'item': None, - 'color': (0, 0, 255, 255, 1)} + grid_view = {"pos": None, "adj": None, "item": None, "color": (0, 0, 255, 255, 1)} profile_color = (0, 255, 0, 255, 1) @@ -59,24 +52,31 @@ class ScaleOverlappingImagesUi(QMainWindow): list_guide_pyqt_roi = list() list_profile_pyqt_roi = list() list_table_widget_checkbox = list() - default_guide_roi = {'x0': 0, 'y0': 0, 'width':200, 'height': 800, - 'isChecked': True, - 'color_activated':'r', - 'color_deactivated': 'b'} - previous_active_row = -1 # use to deactivated the guide and profile roi + default_guide_roi = { + "x0": 0, + "y0": 0, + "width": 200, + "height": 800, + "isChecked": True, + "color_activated": "r", + "color_deactivated": "b", + } + previous_active_row = -1 # use to deactivated the guide and profile roi # default_guide_table_values = {'isChecked': True, 'x0': 0, 'y0': 0, # 'width': 200, 'height': 200} - default_profile_width_values = np.arange(1,50,2) - + default_profile_width_values = np.arange(1, 50, 2) - #remove-me + # remove-me test_roi = None - def __init__(self, parent=None, working_dir='', data_dict=None): - - display(HTML('Check UI that popped up \ - (maybe hidden behind this browser!)')) + def __init__(self, parent=None, working_dir="", data_dict=None): + display( + HTML( + 'Check UI that popped up \ + (maybe hidden behind this browser!)' + ) + ) QMainWindow.__init__(self, parent=parent) self.ui = UiMainWindow() @@ -84,10 +84,10 @@ def __init__(self, parent=None, working_dir='', data_dict=None): self.setWindowTitle("Metadata Overlapping Images") self.working_dir = working_dir - self.data_dict = data_dict # Normalization data dictionary {'file_name': [], - #'data': [[...],[...]]], - #'metadata': [], - #'shape': {}} + self.data_dict = data_dict # Normalization data dictionary {'file_name': [], + #'data': [[...],[...]]], + #'metadata': [], + #'shape': {}} # # untouched array of images (used to move and rotate images) # self.data_dict_raw = copy.deepcopy(data_dict) @@ -141,11 +141,9 @@ def display_profiles(self): for _row in np.arange(nbr_row): [x_axis, profile] = self.get_profile(image=image, profile_roi_row=_row) - _label = ' Profile #{}'.format(_row+1) + _label = f" Profile #{_row+1}" _color = list_rgb_profile_color[_row] - self.ui.profile_view.plot(x_axis, profile, - name=_label, - pen=_color) + self.ui.profile_view.plot(x_axis, profile, name=_label, pen=_color) def update_all_plots(self): list_index_file_selected = self.get_all_plots_files_index_selected() @@ -166,9 +164,9 @@ def update_all_plots(self): self.all_plots_legend = self.ui.all_plots_view.addLegend() for _color_index_file, _index_file in enumerate(list_index_file_selected): - _data = self.data_dict['data'][_index_file] + _data = self.data_dict["data"][_index_file] for _color_index_profile, _index_profile in enumerate(list_index_profile_selected): - legend = "File #{} - Profile #{}".format(_index_file, _index_profile) + legend = f"File #{_index_file} - Profile #{_index_profile}" _color = list_rgb_profile_color[_color_index_file + _color_index_profile * nbr_file_selected] [x_axis, y_axis] = self.get_profile(image=np.transpose(_data), profile_roi_row=_index_profile) self.ui.all_plots_view.plot(x_axis, y_axis, name=legend, pen=_color) @@ -178,7 +176,6 @@ def display_image(self, recalculate_image=False): o_image = DisplayImages(parent=self, recalculate_image=recalculate_image) def remove_row(self, row=-1): - if row == -1: return @@ -206,7 +203,6 @@ def remove_row(self, row=-1): new_selection_2 = QtGui.QTableWidgetSelectionRange(row, 0, row, 1) self.ui.tableWidget_2.setRangeSelected(new_selection_2, True) - def update_guide_roi_using_guide_table(self, row=-1): [x0, y0, width, height] = self.get_item_row(row=row) roi_ui = self.list_guide_pyqt_roi[row] @@ -216,8 +212,7 @@ def update_guide_roi_using_guide_table(self, row=-1): roi_ui.blockSignals(False) def update_profile_rois(self, row=-1): - if row == -1: # update all of them - + if row == -1: # update all of them # # remove all profile rois # self.list_profile_pyqt_roi = list() # for _profile_roi in self.list_profile_pyqt_roi: @@ -242,16 +237,15 @@ def is_row_enabled(self, row=-1): def update_guide_table_using_guide_rois(self): for _row, _roi in enumerate(self.list_guide_pyqt_roi): if self.is_row_enabled(row=_row): - region = _roi.getArraySlice(self.live_image, - self.ui.image_view.imageItem) + region = _roi.getArraySlice(self.live_image, self.ui.image_view.imageItem) x0 = region[0][0].start x1 = region[0][0].stop y0 = region[0][1].start y1 = region[0][1].stop - width = np.abs(x1 - x0)-1 - height = np.abs(y1 - y0)-1 + width = np.abs(x1 - x0) - 1 + height = np.abs(y1 - y0) - 1 self.set_item_main_table(row=_row, col=1, value=str(x0)) self.set_item_main_table(row=_row, col=2, value=str(y0)) @@ -277,11 +271,11 @@ def insert_row(self, row=-1): self.ui.tableWidget.insertRow(row) self.ui.tableWidget.setRowHeight(row, self.guide_table_height) - self.set_item_main_table(row=row, col=0, value=default_values['isChecked']) - self.set_item_main_table(row=row, col=1, value=default_values['x0']) - self.set_item_main_table(row=row, col=2, value=default_values['y0']) - self.set_item_main_table(row=row, col=3, value=default_values['width']) - self.set_item_main_table(row=row, col=4, value=default_values['height']) + self.set_item_main_table(row=row, col=0, value=default_values["isChecked"]) + self.set_item_main_table(row=row, col=1, value=default_values["x0"]) + self.set_item_main_table(row=row, col=2, value=default_values["y0"]) + self.set_item_main_table(row=row, col=3, value=default_values["width"]) + self.set_item_main_table(row=row, col=4, value=default_values["height"]) # select new entry nbr_row = self.ui.tableWidget.rowCount() @@ -316,11 +310,11 @@ def rename_all_plots_profiles_table(self): """rename all the profile name""" nbr_row = self.ui.tableWidget.rowCount() for _row in np.arange(nbr_row): - self.ui.all_plots_profiles_table.item(_row, 0).setText("Profile # {}".format(_row+1)) + self.ui.all_plots_profiles_table.item(_row, 0).setText(f"Profile # {_row+1}") # setter def set_item_all_plots_profile_table(self, row=0): - item = QtGui.QTableWidgetItem("Profile # {}".format(row)) + item = QtGui.QTableWidgetItem(f"Profile # {row}") item.setFlags(QtCore.Qt.ItemIsEnabled | QtCore.Qt.ItemIsSelectable) self.ui.all_plots_profiles_table.setItem(row, 0, item) @@ -340,7 +334,7 @@ def set_item_profile_table(self, row=0): self.ui.tableWidget_2.setCellWidget(row, 0, cell_widget) widget.blockSignals(False) - def set_item_main_table(self, row=0, col=0, value=''): + def set_item_main_table(self, row=0, col=0, value=""): if col == 0: spacerItem_left = QtGui.QSpacerItem(408, 20, QtGui.QSizePolicy.Expanding, QtGui.QSizePolicy.Expanding) widget = QtGui.QCheckBox() @@ -373,19 +367,19 @@ def get_profile_dimensions(self, row=-1): x_left = x0 x_right = x0 + width - profile_center = y0 + np.abs(int((height)/2.)) + profile_center = y0 + np.abs(int((height) / 2.0)) y_top = profile_center - delta_profile y_bottom = profile_center + delta_profile else: - profile_center = x0 + np.abs(int((width) / 2.)) + profile_center = x0 + np.abs(int((width) / 2.0)) x_left = profile_center - delta_profile x_right = profile_center + delta_profile y_top = y0 y_bottom = y0 + height - Profile = collections.namedtuple('Profile', ['x_left', 'x_right', 'y_top', 'y_bottom', 'profile_center']) + Profile = collections.namedtuple("Profile", ["x_left", "x_right", "y_top", "y_bottom", "profile_center"]) result = Profile(x_left, x_right, y_top, y_bottom, profile_center) return result @@ -406,7 +400,7 @@ def get_profile(self, image=[], profile_roi_row=-1): mean_axis = 0 x_axis = np.arange(y_top, y_bottom) - _data = image[x_left: x_right, y_top:y_bottom] # because pyqtgrpah display transpose images + _data = image[x_left:x_right, y_top:y_bottom] # because pyqtgrpah display transpose images profile = np.mean(_data, axis=mean_axis) return [x_axis, profile] @@ -421,8 +415,8 @@ def get_item_row(self, row=0): height = int(str(self.ui.tableWidget.item(row, 4).text())) return (x0, y0, width, height) - def get_selected_row(self, source='tableWidget'): - if source == 'tableWidget': + def get_selected_row(self, source="tableWidget"): + if source == "tableWidget": ui = self.ui.tableWidget else: ui = self.ui.tableWidget_2 @@ -438,7 +432,7 @@ def __create_list_from_selection(self, selection): for _selection in selection: top_row = _selection.topRow() bottom_row = _selection.bottomRow() - for _row in np.arange(top_row, bottom_row+1): + for _row in np.arange(top_row, bottom_row + 1): list_row_selected.append(_row) return list_row_selected @@ -450,11 +444,11 @@ def get_all_plots_files_index_selected(self): selection = self.ui.all_plots_file_name_table.selectedRanges() return self.__create_list_from_selection(selection) - def _highlights_guide_profile_pyqt_roi(self, row=-1, status='activated'): + def _highlights_guide_profile_pyqt_roi(self, row=-1, status="activated"): if row == -1: return _guide_ui = self.list_guide_pyqt_roi[row] - _guide_ui.setPen(self.default_guide_roi['color_' + status]) + _guide_ui.setPen(self.default_guide_roi["color_" + status]) def highlight_guide_profile_pyqt_rois(self, row=-1): """When user click a row in the table, the correspoinding ROI will be activated and ots @@ -465,8 +459,8 @@ def highlight_guide_profile_pyqt_rois(self, row=-1): return try: - self._highlights_guide_profile_pyqt_roi(row=previous_active_row, status='deactivated') - self._highlights_guide_profile_pyqt_roi(row=row, status='activated') + self._highlights_guide_profile_pyqt_roi(row=previous_active_row, status="deactivated") + self._highlights_guide_profile_pyqt_roi(row=row, status="activated") except: pass @@ -506,7 +500,7 @@ def slider_file_changed(self, index_selected): ## Event Handler def tab_changed(self, tab_index): - if tab_index == 1: # display all plots + if tab_index == 1: # display all plots self.update_all_plots() def guide_changed(self): @@ -532,7 +526,7 @@ def table_widget_2_selection_changed(self): nbr_row = self.ui.tableWidget.rowCount() full_range = QtGui.QTableWidgetSelectionRange(0, 0, nbr_row - 1, nbr_col - 1) self.ui.tableWidget.setRangeSelected(full_range, False) - row = self.get_selected_row(source='tableWidget_2') + row = self.get_selected_row(source="tableWidget_2") new_selection = QtGui.QTableWidgetSelectionRange(row, 0, row, nbr_col - 1) self.ui.tableWidget.setRangeSelected(new_selection, True) self.highlight_guide_profile_pyqt_rois(row=row) @@ -600,7 +594,7 @@ def left_rotation_fast_clicked(self): def add_row_button_clicked(self): selected_row = self.get_selected_row() - self._highlights_guide_profile_pyqt_roi(row=selected_row, status='deactivated') + self._highlights_guide_profile_pyqt_roi(row=selected_row, status="deactivated") self.insert_row(row=selected_row) self.add_guide_and_profile_pyqt_roi(row=selected_row) self.previous_active_row = selected_row @@ -616,41 +610,39 @@ def profile_along_axis_changed(self): self.display_profiles() def export_button_clicked(self): - _export_folder = QFileDialog.getExistingDirectory(self, - directory=self.working_dir, - caption="Select Output Folder", - options=QFileDialog.ShowDirsOnly) + _export_folder = QFileDialog.getExistingDirectory( + self, directory=self.working_dir, caption="Select Output Folder", options=QFileDialog.ShowDirsOnly + ) if _export_folder: - o_export = ExportProfiles(parent=self, - export_folder=_export_folder) + o_export = ExportProfiles(parent=self, export_folder=_export_folder) o_export.run() QtGui.QGuiApplication.processEvents() def previous_image_button_clicked(self): - self.change_slider(offset = -1) + self.change_slider(offset=-1) # self.display_measurement_profiles() def next_image_button_clicked(self): - self.change_slider(offset = +1) + self.change_slider(offset=+1) # self.display_measurement_profiles() def help_button_clicked(self): import webbrowser + webbrowser.open("https://neutronimaging.pages.ornl.gov/en/tutorial/notebooks/profile/") def closeEvent(self, event=None): pass -class ExportProfiles(object): - - def __init__(self, parent=None, export_folder=''): +class ExportProfiles: + def __init__(self, parent=None, export_folder=""): self.parent = parent self.export_folder = export_folder def _create_output_file_name(self, profile_index=0): base_name = os.path.basename(self.parent.working_dir) - output_file_name = os.path.join(self.export_folder, "{}_profile_{}.txt".format(base_name, profile_index+1)) + output_file_name = os.path.join(self.export_folder, f"{base_name}_profile_{profile_index+1}.txt") return output_file_name def _create_metadata(self, profile_index=0): @@ -663,18 +655,18 @@ def _create_metadata(self, profile_index=0): y_top = profile_dimension.y_top y_bottom = profile_dimension.y_bottom metadata.append("#Profile dimension:") - metadata.append("# * [x0, y0, x1, y1] = [{}, {}, {}, {}]".format(x_left, y_top, x_right, y_bottom)) + metadata.append(f"# * [x0, y0, x1, y1] = [{x_left}, {y_top}, {x_right}, {y_bottom}]") if is_x_profile_direction: metadata.append("# * integrated over y_axis") - table_axis = ['#x_axis'] + table_axis = ["#x_axis"] else: metadata.append("# * integrated over x_axis") - table_axis = ['#y_axis'] - nbr_files = len(self.parent.data_dict['file_name']) - metadata.append("#List of files ({} files)".format(nbr_files)) - for _index, _file in enumerate(self.parent.data_dict['file_name']): - metadata.append("# * {} -> col{}".format(_file, _index+1)) - table_axis.append("# col.{}".format(_index+1)) + table_axis = ["#y_axis"] + nbr_files = len(self.parent.data_dict["file_name"]) + metadata.append(f"#List of files ({nbr_files} files)") + for _index, _file in enumerate(self.parent.data_dict["file_name"]): + metadata.append(f"# * {_file} -> col{_index+1}") + table_axis.append(f"# col.{_index+1}") metadata.append("#") metadata.append("#" + ",".join(table_axis)) return metadata @@ -682,15 +674,14 @@ def _create_metadata(self, profile_index=0): def _create_data(self, profile_index=0): all_profiles = [] x_axis = [] - for _data in self.parent.data_dict['data']: - [x_axis, profile] = self.parent.get_profile(image=np.transpose(_data), - profile_roi_row=profile_index) + for _data in self.parent.data_dict["data"]: + [x_axis, profile] = self.parent.get_profile(image=np.transpose(_data), profile_roi_row=profile_index) all_profiles.append(list(profile)) data = [] for _index, _row in enumerate(np.transpose(all_profiles)): str_row = [str(_value) for _value in _row] - data.append("{}, ".format(x_axis[_index]) + ", ".join(str_row)) + data.append(f"{x_axis[_index]}, " + ", ".join(str_row)) return data @@ -700,16 +691,12 @@ def run(self): _output_file_name = self._create_output_file_name(profile_index=_profile_index) metadata = self._create_metadata(profile_index=_profile_index) data = self._create_data(profile_index=_profile_index) - make_ascii_file(metadata=metadata, - data=data, - output_file_name=_output_file_name, - dim='1d') - - display(HTML("Exported Profile file {}".format(_output_file_name))) + make_ascii_file(metadata=metadata, data=data, output_file_name=_output_file_name, dim="1d") + display(HTML(f"Exported Profile file {_output_file_name}")) -class GuideAndProfileRoisHandler(object): +class GuideAndProfileRoisHandler: __profile = None def __init__(self, parent=None, row=-1): @@ -730,9 +717,11 @@ def update(self): def _define_guide(self): """define the guide""" - guide_roi = pg.RectROI([self.parent.default_guide_roi['x0'], self.parent.default_guide_roi['y0']], - [self.parent.default_guide_roi['width'], self.parent.default_guide_roi['height']], - pen=self.parent.default_guide_roi['color_activated']) + guide_roi = pg.RectROI( + [self.parent.default_guide_roi["x0"], self.parent.default_guide_roi["y0"]], + [self.parent.default_guide_roi["width"], self.parent.default_guide_roi["height"]], + pen=self.parent.default_guide_roi["color_activated"], + ) guide_roi.addScaleHandle([1, 1], [0, 0]) guide_roi.addScaleHandle([0, 0], [1, 1]) guide_roi.sigRegionChanged.connect(self.parent.guide_changed) @@ -753,14 +742,13 @@ def _define_profile(self): y_bottom = profile_dimension.y_bottom if is_x_profile_direction: - pos = [] pos.append([x_left, y_top]) pos.append([x_right, y_top]) adj = [] adj.append([0, 1]) - if y_top != y_bottom: # height == 1 + if y_top != y_bottom: # height == 1 pos.append([x_left, y_bottom]) pos.append([x_right, y_bottom]) adj.append([2, 3]) @@ -768,8 +756,7 @@ def _define_profile(self): adj = np.array(adj) pos = np.array(pos) - else: # y-profile direction - + else: # y-profile direction pos = [] pos.append([x_left, y_top]) pos.append([x_left, y_bottom]) @@ -787,83 +774,82 @@ def _define_profile(self): line_color = self.parent.profile_color _list_line_color = list(line_color) line_color = tuple(_list_line_color) - lines = np.array([line_color for n in np.arange(len(pos))], - dtype=[('red', np.ubyte), ('green', np.ubyte), - ('blue', np.ubyte), ('alpha', np.ubyte), - ('width', float)]) + lines = np.array( + [line_color for n in np.arange(len(pos))], + dtype=[("red", np.ubyte), ("green", np.ubyte), ("blue", np.ubyte), ("alpha", np.ubyte), ("width", float)], + ) profile = pg.GraphItem() self.parent.ui.image_view.addItem(profile) - profile.setData(pos=pos, - adj=adj, - pen=lines, - symbol=None, - pxMode=False) + profile.setData(pos=pos, adj=adj, pen=lines, symbol=None, pxMode=False) self.__profile = profile -class Initializer(object): - +class Initializer: def __init__(self, parent=None): self.parent = parent def timestamp_dict(self): - list_files = self.parent.data_dict['file_name'] + list_files = self.parent.data_dict["file_name"] self.parent.timestamp_dict = retrieve_time_stamp(list_files) def table(self): # init the summary table - list_files_full_name = self.parent.data_dict['file_name'] + list_files_full_name = self.parent.data_dict["file_name"] list_files_short_name = [os.path.basename(_file) for _file in list_files_full_name] - list_time_stamp = self.parent.timestamp_dict['list_time_stamp'] - list_time_stamp_user_format = self.parent.timestamp_dict['list_time_stamp_user_format'] + list_time_stamp = self.parent.timestamp_dict["list_time_stamp"] + list_time_stamp_user_format = self.parent.timestamp_dict["list_time_stamp_user_format"] time_0 = list_time_stamp[0] for _row, _file in enumerate(list_files_short_name): self.parent.ui.summary_table.insertRow(_row) self.set_item_summary_table(row=_row, col=0, value=_file) self.set_item_summary_table(row=_row, col=1, value=list_time_stamp_user_format[_row]) _offset = list_time_stamp[_row] - time_0 - self.set_item_summary_table(row=_row, col=2, value="{:0.2f}".format(_offset)) + self.set_item_summary_table(row=_row, col=2, value=f"{_offset:0.2f}") self.parent.ui.all_plots_file_name_table.insertRow(_row) self.set_item_all_plot_file_name_table(row=_row, value=os.path.basename(_file)) - def parameters(self): + def parameters(self): # init the position of the measurement ROI - [height, width] = np.shape(self.parent.data_dict['data'][0]) - self.parent.default_guide_roi['width'] = int(width/10) - self.parent.default_guide_roi['height'] = int(height/5) - self.parent.default_guide_roi['x0'] = int(width/2) - self.parent.default_guide_roi['y0'] = int(height/2) + [height, width] = np.shape(self.parent.data_dict["data"][0]) + self.parent.default_guide_roi["width"] = int(width / 10) + self.parent.default_guide_roi["height"] = int(height / 5) + self.parent.default_guide_roi["x0"] = int(width / 2) + self.parent.default_guide_roi["y0"] = int(height / 2) self.parent.default_profile_width_values = [str(_value) for _value in self.parent.default_profile_width_values] def widgets(self): _file_path = os.path.dirname(__file__) - left_rotation_fast_file = os.path.abspath(os.path.join(_file_path, - 'static/profile/button_rotation_left_fast.png')) - self.parent.ui.left_rotation_button_fast.setStyleSheet("background-image: " - "url('" + left_rotation_fast_file + "'); " + \ - "background-repeat: no-repeat") - - right_rotation_fast_file = os.path.abspath(os.path.join(_file_path, - 'static/profile/button_rotation_right_fast.png')) - self.parent.ui.right_rotation_button_fast.setStyleSheet("background-image: " - "url('" + right_rotation_fast_file + "'); " + \ - "background-repeat: no-repeat") - - left_rotation_slow_file = os.path.abspath(os.path.join(_file_path, - 'static/profile/button_rotation_left_slow.png')) - self.parent.ui.left_rotation_button_slow.setStyleSheet("background-image: " - "url('" + left_rotation_slow_file + "'); " + \ - "background-repeat: no-repeat") - - right_rotation_slow_file = os.path.abspath(os.path.join(_file_path, - 'static/profile/button_rotation_right_slow.png')) - self.parent.ui.right_rotation_button_slow.setStyleSheet("background-image: " - "url('" + right_rotation_slow_file + "'); " + \ - "background-repeat: no-repeat") + left_rotation_fast_file = os.path.abspath( + os.path.join(_file_path, "static/profile/button_rotation_left_fast.png") + ) + self.parent.ui.left_rotation_button_fast.setStyleSheet( + "background-image: " "url('" + left_rotation_fast_file + "'); " + "background-repeat: no-repeat" + ) + + right_rotation_fast_file = os.path.abspath( + os.path.join(_file_path, "static/profile/button_rotation_right_fast.png") + ) + self.parent.ui.right_rotation_button_fast.setStyleSheet( + "background-image: " "url('" + right_rotation_fast_file + "'); " + "background-repeat: no-repeat" + ) + + left_rotation_slow_file = os.path.abspath( + os.path.join(_file_path, "static/profile/button_rotation_left_slow.png") + ) + self.parent.ui.left_rotation_button_slow.setStyleSheet( + "background-image: " "url('" + left_rotation_slow_file + "'); " + "background-repeat: no-repeat" + ) + + right_rotation_slow_file = os.path.abspath( + os.path.join(_file_path, "static/profile/button_rotation_right_slow.png") + ) + self.parent.ui.right_rotation_button_slow.setStyleSheet( + "background-image: " "url('" + right_rotation_slow_file + "'); " + "background-repeat: no-repeat" + ) self.parent.ui.splitter_2.setSizes([250, 50]) self.parent.ui.splitter.setSizes([500, 50]) @@ -871,7 +857,7 @@ def widgets(self): self.parent.ui.all_plots_verti_splitter.setSizes([300, 100]) # file slider - self.parent.ui.file_slider.setMaximum(len(self.parent.data_dict['data']) - 1) + self.parent.ui.file_slider.setMaximum(len(self.parent.data_dict["data"]) - 1) # update size of table columns nbr_columns = self.parent.ui.tableWidget.columnCount() @@ -883,10 +869,12 @@ def widgets(self): for _col in range(nbr_columns): self.parent.ui.summary_table.setColumnWidth(_col, self.parent.summary_table_width[_col]) - self.parent.display_ui = [self.parent.ui.display_size_label, - self.parent.ui.grid_size_slider, - self.parent.ui.display_transparency_label, - self.parent.ui.transparency_slider] + self.parent.display_ui = [ + self.parent.ui.display_size_label, + self.parent.ui.grid_size_slider, + self.parent.ui.display_transparency_label, + self.parent.ui.transparency_slider, + ] def pyqtgraph(self): # image @@ -913,19 +901,18 @@ def pyqtgraph(self): vertical_layout2.addWidget(self.parent.ui.all_plots_view) self.parent.ui.all_plots_widget.setLayout(vertical_layout2) - def set_item_all_plot_file_name_table(self, row=0, value=''): + def set_item_all_plot_file_name_table(self, row=0, value=""): item = QtGui.QTableWidgetItem(str(value)) self.parent.ui.all_plots_file_name_table.setItem(row, 0, item) item.setFlags(QtCore.Qt.ItemIsEnabled | QtCore.Qt.ItemIsSelectable) - def set_item_summary_table(self, row=0, col=0, value=''): + def set_item_summary_table(self, row=0, col=0, value=""): item = QtGui.QTableWidgetItem(str(value)) self.parent.ui.summary_table.setItem(row, col, item) item.setFlags(QtCore.Qt.ItemIsEnabled | QtCore.Qt.ItemIsSelectable) -class DisplayImages(object): - +class DisplayImages: def __init__(self, parent=None, recalculate_image=False): self.parent = parent self.recalculate_image = recalculate_image @@ -938,9 +925,11 @@ def get_image_selected(self, recalculate_image=False): if recalculate_image: angle = self.parent.rotation_angle # rotate all images - self.parent.data_dict['data'] = [transform.rotate(_image, angle) for _image in self.parent.data_dict_raw['data']] + self.parent.data_dict["data"] = [ + transform.rotate(_image, angle) for _image in self.parent.data_dict_raw["data"] + ] - _image = self.parent.data_dict['data'][slider_index] + _image = self.parent.data_dict["data"][slider_index] return _image def display_images(self): @@ -976,7 +965,7 @@ def calculate_matrix_grid(self, grid_size=1, height=1, width=1): # vertical lines x = 0 index = 0 - while (x <= width): + while x <= width: one_edge = [x, 0] other_edge = [x, height] pos.append(one_edge) @@ -987,7 +976,7 @@ def calculate_matrix_grid(self, grid_size=1, height=1, width=1): # vertical lines y = 0 - while (y <= height): + while y <= height: one_edge = [0, y] other_edge = [width, y] pos.append(one_edge) @@ -996,46 +985,42 @@ def calculate_matrix_grid(self, grid_size=1, height=1, width=1): y += grid_size index += 2 - pos_adj_dict['pos'] = np.array(pos) - pos_adj_dict['adj'] = np.array(adj) + pos_adj_dict["pos"] = np.array(pos) + pos_adj_dict["adj"] = np.array(adj) return pos_adj_dict def display_grid(self): # remove previous grid if any - if self.parent.grid_view['item']: - self.parent.ui.image_view.removeItem(self.parent.grid_view['item']) + if self.parent.grid_view["item"]: + self.parent.ui.image_view.removeItem(self.parent.grid_view["item"]) # if we want a grid if self.parent.ui.grid_display_checkBox.isChecked(): - grid_size = self.parent.ui.grid_size_slider.value() [height, width] = np.shape(self.parent.live_image) - pos_adj_dict = self.calculate_matrix_grid(grid_size=grid_size, - height=height, - width=width) - pos = pos_adj_dict['pos'] - adj = pos_adj_dict['adj'] + pos_adj_dict = self.calculate_matrix_grid(grid_size=grid_size, height=height, width=width) + pos = pos_adj_dict["pos"] + adj = pos_adj_dict["adj"] - line_color = self.parent.grid_view['color'] - _transparency_value = 255 - (float(str(self.parent.ui.transparency_slider.value()))/100) * 255 + line_color = self.parent.grid_view["color"] + _transparency_value = 255 - (float(str(self.parent.ui.transparency_slider.value())) / 100) * 255 _list_line_color = list(line_color) _list_line_color[3] = _transparency_value line_color = tuple(_list_line_color) - lines = np.array([line_color for n in np.arange(len(pos))], - dtype=[('red', np.ubyte), ('green', np.ubyte), - ('blue', np.ubyte), ('alpha', np.ubyte), - ('width', float)]) + lines = np.array( + [line_color for n in np.arange(len(pos))], + dtype=[ + ("red", np.ubyte), + ("green", np.ubyte), + ("blue", np.ubyte), + ("alpha", np.ubyte), + ("width", float), + ], + ) grid = pg.GraphItem() self.parent.ui.image_view.addItem(grid) - grid.setData(pos=pos, - adj=adj, - pen=lines, - symbol=None, - pxMode=False) - self.parent.grid_view['item'] = grid - - - + grid.setData(pos=pos, adj=adj, pen=lines, symbol=None, pxMode=False) + self.parent.grid_view["item"] = grid diff --git a/notebooks/__code/select_files_and_folders.py b/notebooks/__code/select_files_and_folders.py index 61acb844..066ede30 100755 --- a/notebooks/__code/select_files_and_folders.py +++ b/notebooks/__code/select_files_and_folders.py @@ -1,55 +1,53 @@ import os + from IPython.display import display from ipywidgets import widgets from __code.file_folder_browser import FileFolderBrowser -from __code.utilities import display_html_message from __code.ipywe import fileselector +from __code.utilities import display_html_message class SelectFiles(FileFolderBrowser): - list_of_files = [] def __init__(self, system=None): working_dir = system.System.get_working_dir() - super(SelectFiles, self).__init__(working_dir=working_dir, - next_function=self.retrieve_list_of_files) + super(SelectFiles, self).__init__(working_dir=working_dir, next_function=self.retrieve_list_of_files) filters = {"TIFF": "*.tif"} default_filter = "TIFF" - self.select_images(filters=filters, - default_filter=default_filter) + self.select_images(filters=filters, default_filter=default_filter) - def retrieve_list_of_files(self, list_of_files=''): + def retrieve_list_of_files(self, list_of_files=""): self.list_of_files = list_of_files class SelectFolderWithDefaultPaths(FileFolderBrowser): - - def __init__(self, system=None, working_dir='', next_function=None, multiple_flag=False): - if working_dir == '': + def __init__(self, system=None, working_dir="", next_function=None, multiple_flag=False): + if working_dir == "": if system is None: - working_dir = '/' + working_dir = "/" else: working_dir = system.System.get_working_dir() - super(SelectFolderWithDefaultPaths, self).__init__(working_dir=working_dir, - next_function=next_function, - multiple_flag=multiple_flag) + super(SelectFolderWithDefaultPaths, self).__init__( + working_dir=working_dir, next_function=next_function, multiple_flag=multiple_flag + ) ipts = os.path.basename(self.working_dir) - button_layout = widgets.Layout(width='30%', - border='1px solid gray') + button_layout = widgets.Layout(width="30%", border="1px solid gray") - hbox = widgets.HBox([widgets.Button(description="Jump to {} Shared Folder".format(ipts), - button_style='success', - layout=button_layout), - widgets.Button(description="Jump to My Home Folder", - button_style='success', - layout=button_layout)]) + hbox = widgets.HBox( + [ + widgets.Button( + description=f"Jump to {ipts} Shared Folder", button_style="success", layout=button_layout + ), + widgets.Button(description="Jump to My Home Folder", button_style="success", layout=button_layout), + ] + ) go_to_shared_button_ui = hbox.children[0] go_to_home_button_ui = hbox.children[1] @@ -61,34 +59,35 @@ def __init__(self, system=None, working_dir='', next_function=None, multiple_fla self.display_file_selector() def display_file_selector_from_shared(self, ev): - start_dir = os.path.join(self.working_dir, 'shared') + start_dir = os.path.join(self.working_dir, "shared") self.output_folder_ui.remove() self.display_file_selector(start_dir=start_dir) def display_file_selector_from_home(self, ev): import getpass + _user = getpass.getuser() - start_dir = os.path.join('/SNS/users', _user) + start_dir = os.path.join("/SNS/users", _user) self.output_folder_ui.remove() self.display_file_selector(start_dir=start_dir) - def display_file_selector(self, start_dir=''): - self.output_folder_ui = fileselector.FileSelectorPanel(instruction='Select Output Folder', - start_dir=start_dir, - multiple=False, - next=self.next_function, - type='directory') + def display_file_selector(self, start_dir=""): + self.output_folder_ui = fileselector.FileSelectorPanel( + instruction="Select Output Folder", + start_dir=start_dir, + multiple=False, + next=self.next_function, + type="directory", + ) self.output_folder_ui.show() class SelectFolder(FileFolderBrowser): - - def __init__(self, system=None, next_function=None, is_input_folder=False, working_dir='', multiple_flags=False): + def __init__(self, system=None, next_function=None, is_input_folder=False, working_dir="", multiple_flags=False): if not working_dir: working_dir = system.System.get_working_dir() - super(SelectFolder, self).__init__(working_dir=working_dir, - next_function=next_function) + super(SelectFolder, self).__init__(working_dir=working_dir, next_function=next_function) if is_input_folder: self.select_input_folder(multiple_flag=multiple_flags) else: @@ -96,26 +95,20 @@ def __init__(self, system=None, next_function=None, is_input_folder=False, worki class SelectAsciiFile(FileFolderBrowser): + ascii_file = "" - ascii_file = '' - - def __init__(self, system=None, instruction=''): + def __init__(self, system=None, instruction=""): working_dir = system.System.get_working_dir() - super(SelectAsciiFile, self).__init__(working_dir=working_dir, - next_function=self.done_message) + super(SelectAsciiFile, self).__init__(working_dir=working_dir, next_function=self.done_message) if not instruction: instruction = "Select ASCII File!" filters = {"Text": "*.txt"} default_filter = "Text" - self.select_images(filters=filters, - instruction=instruction, - multiple_flag=False, - default_filter=default_filter) + self.select_images(filters=filters, instruction=instruction, multiple_flag=False, default_filter=default_filter) def done_message(self, file_selected): self.ascii_file = file_selected - display_html_message(title_message='Selected Ascii File:', - message=file_selected) + display_html_message(title_message="Selected Ascii File:", message=file_selected) diff --git a/notebooks/__code/select_metadata_to_display.py b/notebooks/__code/select_metadata_to_display.py index 7b786fdf..42155266 100755 --- a/notebooks/__code/select_metadata_to_display.py +++ b/notebooks/__code/select_metadata_to_display.py @@ -1,20 +1,19 @@ -from ipywidgets import widgets -from IPython.display import display, HTML +import collections import os + +from IPython.display import display +from ipywidgets import widgets from PIL import Image -import collections from __code import file_handler from __code.file_folder_browser import FileFolderBrowser class DisplayMetadata(FileFolderBrowser): - - def __init__(self, working_dir=''): + def __init__(self, working_dir=""): super(DisplayMetadata, self).__init__(working_dir=working_dir) def display_metadata_list(self): - self.list_images = self.list_images_ui.selected list_images = self.list_images @@ -24,48 +23,48 @@ def display_metadata_list(self): info = collections.OrderedDict(sorted(o_image0.tag_v2.items())) display_format = [] for tag, value in info.items(): - display_format.append("{} -> {}".format(tag, value)) - - self.box1 = widgets.HBox([widgets.Label("Select Metadata:", - layout=widgets.Layout(width='10%')), - widgets.Dropdown(options=display_format, - value=display_format[0], - layout=widgets.Layout(width='50%'))]) + display_format.append(f"{tag} -> {value}") + + self.box1 = widgets.HBox( + [ + widgets.Label("Select Metadata:", layout=widgets.Layout(width="10%")), + widgets.Dropdown(options=display_format, value=display_format[0], layout=widgets.Layout(width="50%")), + ] + ) display(self.box1) def display_metadata_selected(self): - metadata_selected = self.box1.children[1].value # retrieve key selected - [key, value] = metadata_selected.split(' -> ') + [key, value] = metadata_selected.split(" -> ") self.key = key # display file vs value of key selected - display(widgets.Label("Metadata to display {}".format(metadata_selected))) + display(widgets.Label(f"Metadata to display {metadata_selected}")) export_txt = [] for _file in self.list_images: o_image = Image.open(_file) o_dict = dict(o_image.tag_v2) _key = os.path.basename(_file) _value = o_dict[float(key)] - export_txt.append("{} {}".format(_key, _value)) - box = widgets.HBox([widgets.Label(" {} -> ".format(_key), - layout=widgets.Layout(width='40%')), - widgets.Label(" {}".format(_value), - layout=widgets.Layout(width='20%'))]) + export_txt.append(f"{_key} {_value}") + box = widgets.HBox( + [ + widgets.Label(f" {_key} -> ", layout=widgets.Layout(width="40%")), + widgets.Label(f" {_value}", layout=widgets.Layout(width="20%")), + ] + ) display(box) self.export_txt = export_txt def export(self): - output_folder = self.list_output_folders_ui.selected parent_folder = self.list_images[0].split(os.path.sep)[-2] - metadata_name = 'metadata#{}'.format(self.key) - output_file_name = os.path.join(output_folder, "{}_{}.txt".format(parent_folder, metadata_name)) - file_handler.make_ascii_file(metadata=['#Metadata: ' + self.key], - data=self.export_txt, - dim='1d', - output_file_name=output_file_name) + metadata_name = f"metadata#{self.key}" + output_file_name = os.path.join(output_folder, f"{parent_folder}_{metadata_name}.txt") + file_handler.make_ascii_file( + metadata=["#Metadata: " + self.key], data=self.export_txt, dim="1d", output_file_name=output_file_name + ) diff --git a/notebooks/__code/selection_region_utilities.py b/notebooks/__code/selection_region_utilities.py index 1e1e47fd..a09aec8a 100755 --- a/notebooks/__code/selection_region_utilities.py +++ b/notebooks/__code/selection_region_utilities.py @@ -2,41 +2,40 @@ class SelectionRegionUtilities: - - def __init__(self, x0=None, y0=None, width=None, height=None): - """it's up to the user to make sure the width and height are real positive numbers and that - x0 and y0 are also real and defined""" - self.x0 = x0 - self.y0 = y0 - self.width = width - self.height = height - - def get_all_russian_doll_regions(self): - """this return a dictionary of all the region contains inside the given selection, recursively - The last region will have to be always 1 pixel wide, or height, or both - """ - x0 = self.x0 - y0 = self.y0 - width = self.width - height = self.height - - dict_regions = OrderedDict() - dict_regions[0] = {'x0': x0, 'y0': y0, 'width': width, 'height': height} - index = 1 - - while width + height > 2: - x0, y0, width, height = self.produce_next_doll_region(x0, y0, width, height) - dict_regions[index] = {'x0': x0, 'y0': y0, 'width': width, 'height': height} - index += 1 - - return dict_regions - - @staticmethod - def produce_next_doll_region(x0, y0, width, height): - new_width = 1 if (width == 1 or width == 2) else width-2 - new_height = 1 if (height == 1 or height == 2) else height-2 - - new_x0 = x0 if (new_width == width) else x0+1 - new_y0 = y0 if (new_height == height) else y0+1 - - return new_x0, new_y0, new_width, new_height + def __init__(self, x0=None, y0=None, width=None, height=None): + """it's up to the user to make sure the width and height are real positive numbers and that + x0 and y0 are also real and defined""" + self.x0 = x0 + self.y0 = y0 + self.width = width + self.height = height + + def get_all_russian_doll_regions(self): + """this return a dictionary of all the region contains inside the given selection, recursively + The last region will have to be always 1 pixel wide, or height, or both + """ + x0 = self.x0 + y0 = self.y0 + width = self.width + height = self.height + + dict_regions = OrderedDict() + dict_regions[0] = {"x0": x0, "y0": y0, "width": width, "height": height} + index = 1 + + while width + height > 2: + x0, y0, width, height = self.produce_next_doll_region(x0, y0, width, height) + dict_regions[index] = {"x0": x0, "y0": y0, "width": width, "height": height} + index += 1 + + return dict_regions + + @staticmethod + def produce_next_doll_region(x0, y0, width, height): + new_width = 1 if (width == 1 or width == 2) else width - 2 + new_height = 1 if (height == 1 or height == 2) else height - 2 + + new_x0 = x0 if (new_width == width) else x0 + 1 + new_y0 = y0 if (new_height == height) else y0 + 1 + + return new_x0, new_y0, new_width, new_height diff --git a/notebooks/__code/sequential_combine_images_using_metadata.py b/notebooks/__code/sequential_combine_images_using_metadata.py index b70f2ad5..754b759c 100755 --- a/notebooks/__code/sequential_combine_images_using_metadata.py +++ b/notebooks/__code/sequential_combine_images_using_metadata.py @@ -1,51 +1,54 @@ -import os -from scipy.stats.mstats import gmean -from ipywidgets import widgets -from IPython.display import display, HTML -import numpy as np -from PIL import Image import collections import glob +import os import re +import numpy as np +from IPython.display import HTML, display +from ipywidgets import widgets from NeuNorm.normalization import Normalization +from PIL import Image +from scipy.stats.mstats import gmean -from __code.ipywe import fileselector from __code import file_handler +from __code.ipywe import fileselector from __code.metadata_handler import MetadataHandler METADATA_ERROR = 1 # range +/- for which a metadata will be considered identical -class SequentialCombineImagesUsingMetadata(object): - working_dir = '' +class SequentialCombineImagesUsingMetadata: + working_dir = "" default_metadata_to_select = [65044, 65040] - def __init__(self, working_dir=''): + def __init__(self, working_dir=""): self.working_dir = working_dir - self.folder_selected = '' + self.folder_selected = "" self.list_images = [] - self.file_extension = 'tiff' - self.dict_of_metadata = {} # key is 'tag->value' and value is 'tag' + self.file_extension = "tiff" + self.dict_of_metadata = {} # key is 'tag->value' and value is 'tag' self.list_images_to_combine = None - self.extension_to_regular_expression_dict = {'tiff': "^\w*_(?Prun\d+)_\w*.tiff$", - 'tif': "^\w*_(?Prun\d+)_\w*.tif$"} + self.extension_to_regular_expression_dict = { + "tiff": r"^\w*_(?Prun\d+)_\w*.tiff$", + "tif": r"^\w*_(?Prun\d+)_\w*.tif$", + } # self.filename_regular_expression = "^\w*_(?Prun\d+)_\w*.tiff$" def select_folder(self): - self.files_list_widget = fileselector.FileSelectorPanel(instruction='select folder of images to combine', - start_dir=self.working_dir, - type='directory', - next=self.info_folder_selected, - multiple=False) + self.files_list_widget = fileselector.FileSelectorPanel( + instruction="select folder of images to combine", + start_dir=self.working_dir, + type="directory", + next=self.info_folder_selected, + multiple=False, + ) self.files_list_widget.show() def info_folder_selected(self, selected): - display(HTML('You selected folder: ' + \ - selected + '')) + display(HTML('You selected folder: ' + selected + "")) self.folder_selected = selected - def record_file_extension(self, filename=''): + def record_file_extension(self, filename=""): self.file_extension = file_handler.get_file_extension(filename) def get_list_of_images(self): @@ -66,43 +69,52 @@ def display_metadata_list(self): list_default_value_selected = [] dict_of_metadata = {} for tag, value in info.items(): - formatted_string = "{} -> {}".format(tag, value) + formatted_string = f"{tag} -> {value}" dict_of_metadata[formatted_string] = tag display_format.append(formatted_string) if tag in self.default_metadata_to_select: list_default_value_selected.append(formatted_string) - self.box1 = widgets.HBox([widgets.Label("Select Metadata:", - layout=widgets.Layout(width='10%')), - widgets.SelectMultiple(options=display_format, - value=list_default_value_selected, - layout=widgets.Layout(width='50%', - height='300px'))]) + self.box1 = widgets.HBox( + [ + widgets.Label("Select Metadata:", layout=widgets.Layout(width="10%")), + widgets.SelectMultiple( + options=display_format, + value=list_default_value_selected, + layout=widgets.Layout(width="50%", height="300px"), + ), + ] + ) display(self.box1) self.dict_of_metadata = dict_of_metadata def how_to_combine(self): - _file = open("__docs/combine_images/geometric_mean.png", 'rb') + _file = open("__docs/combine_images/geometric_mean.png", "rb") _geo_image = _file.read() - geo_box = widgets.HBox([widgets.Label("Geometric Mean", - layout=widgets.Layout(width='20%')), - widgets.Image(value=_geo_image, - format='png')]) - _file = open("__docs/combine_images/algebric_mean.png", 'rb') + geo_box = widgets.HBox( + [ + widgets.Label("Geometric Mean", layout=widgets.Layout(width="20%")), + widgets.Image(value=_geo_image, format="png"), + ] + ) + _file = open("__docs/combine_images/algebric_mean.png", "rb") _alge_image = _file.read() - alge_box = widgets.HBox([widgets.Label("Arithmetic Mean", - layout=widgets.Layout(width='20%')), - widgets.Image(value=_alge_image, - format='png')]) + alge_box = widgets.HBox( + [ + widgets.Label("Arithmetic Mean", layout=widgets.Layout(width="20%")), + widgets.Image(value=_alge_image, format="png"), + ] + ) - self.combine_method = widgets.RadioButtons(options=['add', 'arithmetic mean', 'geometric mean'], - value='arithmetic mean') + self.combine_method = widgets.RadioButtons( + options=["add", "arithmetic mean", "geometric mean"], value="arithmetic mean" + ) vertical = widgets.VBox([alge_box, geo_box, self.combine_method]) display(vertical) def create_merging_list(self, list_of_files=[]): - """ this method will create a dictionary of files to combine by stepping one by one + """this method will create a dictionary of files to combine by stepping one by one through the list of files and checking the metadata value selected {'run1': {'position0' : {'list_of_files': [file1, file2, file3], @@ -126,12 +138,12 @@ def create_merging_list(self, list_of_files=[]): # self.list_images = self.list_images[0:20] # - create_list_progress = widgets.HBox([widgets.Label("Creating Merging List:", - layout=widgets.Layout(width='20%')), - widgets.IntProgress(max=len(self.list_images), - min=1, - value=1, - layout=widgets.Layout(width='80%'))]) + create_list_progress = widgets.HBox( + [ + widgets.Label("Creating Merging List:", layout=widgets.Layout(width="20%")), + widgets.IntProgress(max=len(self.list_images), min=1, value=1, layout=widgets.Layout(width="80%")), + ] + ) display(create_list_progress) progress_bar = create_list_progress.children[1] @@ -143,7 +155,7 @@ def create_merging_list(self, list_of_files=[]): if not list_of_files: list_of_files = self.list_images - position_prefix = 'position' + position_prefix = "position" position_counter = 0 # delta_metadata = self.delta_metadata @@ -152,25 +164,24 @@ def create_merging_list(self, list_of_files=[]): _list_files = [list_of_files[0]] _dict_metadata = {} - _previous_metadata = MetadataHandler.get_metata(filename=list_of_files[0], - list_metadata=list_of_tag_selected) + _previous_metadata = MetadataHandler.get_metata(filename=list_of_files[0], list_metadata=list_of_tag_selected) _previous_run = self.isolate_run_text_from_filename(list_of_files[0]) for _index, _file in enumerate(list_of_files[1:]): - - _current_metadata = MetadataHandler.get_metata(filename=_file, - list_metadata=list_of_tag_selected) + _current_metadata = MetadataHandler.get_metata(filename=_file, list_metadata=list_of_tag_selected) _current_run = self.isolate_run_text_from_filename(_file) - if self.are_metadata_within_error_range(_current_metadata, _previous_metadata) and \ - (_previous_run == _current_run): + if self.are_metadata_within_error_range(_current_metadata, _previous_metadata) and ( + _previous_run == _current_run + ): _list_files.append(_file) else: - str_position_counter = "{:04d}".format(position_counter) - tag_name = "{}{}".format(position_prefix, str_position_counter) - list_images_to_combine[tag_name] = {'list_of_files': _list_files, - 'dict_metadata': _previous_metadata.copy(), - } + str_position_counter = f"{position_counter:04d}" + tag_name = f"{position_prefix}{str_position_counter}" + list_images_to_combine[tag_name] = { + "list_of_files": _list_files, + "dict_metadata": _previous_metadata.copy(), + } position_counter += 1 _list_files = [_file] @@ -182,14 +193,15 @@ def create_merging_list(self, list_of_files=[]): _previous_metadata = _current_metadata _previous_run = _current_run - progress_bar.value = _index+1 + progress_bar.value = _index + 1 else: - str_position_counter = "{:04d}".format(position_counter) - tag_name = "{}{}".format(position_prefix, str_position_counter) - list_images_to_combine[tag_name] = {'list_of_files': _list_files, - 'dict_metadata': _previous_metadata.copy(), - } + str_position_counter = f"{position_counter:04d}" + tag_name = f"{position_prefix}{str_position_counter}" + list_images_to_combine[tag_name] = { + "list_of_files": _list_files, + "dict_metadata": _previous_metadata.copy(), + } master_list_images_to_combine[_previous_run] = list_images_to_combine create_list_progress.close() @@ -201,8 +213,13 @@ def are_metadata_within_error_range(self, metadata1, metadata2): """will go through all the metadata and make sure they are all identical, within the given METADATA_ERROR range""" for _key in metadata1.keys(): - if np.abs(self.isolate_value_from_metadata(metadata1[_key]) - - self.isolate_value_from_metadata(metadata2[_key])) > METADATA_ERROR: + if ( + np.abs( + self.isolate_value_from_metadata(metadata1[_key]) + - self.isolate_value_from_metadata(metadata2[_key]) + ) + > METADATA_ERROR + ): return False return True @@ -219,50 +236,64 @@ def isolate_run_text_from_filename(self, full_file_name): regular_expression = self.extension_to_regular_expression_dict[self.file_extension] m = re.search(regular_expression, basename) if m is not None: - return m.group('run') + return m.group("run") else: return None def recap_merging_list(self): - box0 = widgets.VBox([widgets.Label("List of Runs", - layout=widgets.Layout(width='100%')), - widgets.Select(options=self.master_list_images_to_combine.keys(), - layout=widgets.Layout(width='150px', - height='300px'))], - layout=widgets.Layout(width="160px")) + box0 = widgets.VBox( + [ + widgets.Label("List of Runs", layout=widgets.Layout(width="100%")), + widgets.Select( + options=self.master_list_images_to_combine.keys(), + layout=widgets.Layout(width="150px", height="300px"), + ), + ], + layout=widgets.Layout(width="160px"), + ) self.list_of_runs_ui = box0.children[1] - box1 = widgets.VBox([widgets.Label("List of positions", - layout=widgets.Layout(width='100%')), - widgets.Select(options=self.get_list_of_position_for_select_run(), - layout=widgets.Layout(width='150px', - height='300px'))], - layout=widgets.Layout(width="160px")) + box1 = widgets.VBox( + [ + widgets.Label("List of positions", layout=widgets.Layout(width="100%")), + widgets.Select( + options=self.get_list_of_position_for_select_run(), + layout=widgets.Layout(width="150px", height="300px"), + ), + ], + layout=widgets.Layout(width="160px"), + ) self.list_of_positions_ui = box1.children[1] - box2 = widgets.VBox([widgets.Label("List of Files for this position", - layout=widgets.Layout(width='100%')), - widgets.Select(options=self.get_list_of_files_for_selected_run_position(), - layout=widgets.Layout(width='100%', - height='500px'))], - layout=widgets.Layout(width="815px")) + box2 = widgets.VBox( + [ + widgets.Label("List of Files for this position", layout=widgets.Layout(width="100%")), + widgets.Select( + options=self.get_list_of_files_for_selected_run_position(), + layout=widgets.Layout(width="100%", height="500px"), + ), + ], + layout=widgets.Layout(width="815px"), + ) self.list_of_files_ui = box2.children[1] - box3 = widgets.VBox([widgets.Label("Metadata"), - widgets.Textarea("", - disabled=True), - widgets.Label("Error allowed: {}".format(METADATA_ERROR))], - layout=widgets.Layout(width="300px")) + box3 = widgets.VBox( + [ + widgets.Label("Metadata"), + widgets.Textarea("", disabled=True), + widgets.Label(f"Error allowed: {METADATA_ERROR}"), + ], + layout=widgets.Layout(width="300px"), + ) str_metadata = self.get_str_metadata(metadata_dict=self.get_metadata_for_selected_run_position()) self.metadata_recap_textarea = box3.children[1] self.metadata_recap_textarea.value = str_metadata - hori_box = widgets.HBox([box0, box1, box2, box3], - layout=widgets.Layout(width='100%')) + hori_box = widgets.HBox([box0, box1, box2, box3], layout=widgets.Layout(width="100%")) - self.list_of_positions_ui.on_trait_change(self.recap_positions_changed, name='value') - self.list_of_runs_ui.on_trait_change(self.recap_runs_changed, name='value') + self.list_of_positions_ui.on_trait_change(self.recap_positions_changed, name="value") + self.list_of_runs_ui.on_trait_change(self.recap_runs_changed, name="value") display(hori_box) @@ -272,11 +303,11 @@ def get_list_of_position_for_select_run(self): def get_list_of_files_for_selected_run_position(self): dict = self._get_dict_from_selected_run_position() - return dict['list_of_files'] + return dict["list_of_files"] def get_metadata_for_selected_run_position(self): _dict = self._get_dict_from_selected_run_position() - return _dict['dict_metadata'] + return _dict["dict_metadata"] def _get_dict_from_selected_run_position(self): selected_run = self.list_of_runs_ui.value @@ -287,14 +318,14 @@ def get_str_metadata(self, metadata_dict={}): """format the metadata to display them as a string""" str_metadata = "" for _key, _value in metadata_dict.items(): - str_metadata += "{} -> {}\n".format(_key, _value) + str_metadata += f"{_key} -> {_value}\n" return str_metadata def recap_positions_changed(self): position_selected = self.list_of_positions_ui.value run_selected = self.list_of_runs_ui.value - list_files_of_files = self.master_list_images_to_combine[run_selected][position_selected]['list_of_files'] + list_files_of_files = self.master_list_images_to_combine[run_selected][position_selected]["list_of_files"] self.list_of_files_ui.options = list_files_of_files str_metadata = self.get_str_metadata(metadata_dict=self.get_metadata_for_selected_run_position()) @@ -317,20 +348,21 @@ def get_list_of_tag_selected(self): return result def select_output_folder_and_merge(self): - self.output_folder_widget = fileselector.FileSelectorPanel(instruction='select where to create the ' + \ - 'combined image ...', - start_dir=self.working_dir, - next=self.merge, - type='directory') + self.output_folder_widget = fileselector.FileSelectorPanel( + instruction="select where to create the " + "combined image ...", + start_dir=self.working_dir, + next=self.merge, + type="directory", + ) self.output_folder_widget.show() def __get_formated_merging_algo_name(self): _algo = self.combine_method.value - if _algo =='arithmetic mean': - return 'arithmetic_mean' - elif _algo == 'geometric mean': - return 'geometric_mean' + if _algo == "arithmetic mean": + return "arithmetic_mean" + elif _algo == "geometric mean": + return "geometric_mean" else: return _algo @@ -339,10 +371,10 @@ def get_merging_algorithm(self): merging_algo = self.combine_method.value # algorithm = self.__add algorithm = SequentialCombineImagesUsingMetadata.__add - if merging_algo == 'arithmetic mean': + if merging_algo == "arithmetic mean": # algorithm = self.__arithmetic_mean algorithm = SequentialCombineImagesUsingMetadata.__arithmetic_mean - elif merging_algo == 'geometric mean': + elif merging_algo == "geometric mean": # algorithm = self.__geo_mean algorithm = SequentialCombineImagesUsingMetadata.__geo_mean return algorithm @@ -371,10 +403,12 @@ def merge(self, output_folder): merging_list = self.master_list_images_to_combine algorithm = self.get_merging_algorithm() - merging_ui = widgets.HBox([widgets.Label("Merging Progress", - layout=widgets.Layout(width='20%')), - widgets.IntProgress(max=len(merging_list.keys()), - layout=widgets.Layout(width='80%'))]) + merging_ui = widgets.HBox( + [ + widgets.Label("Merging Progress", layout=widgets.Layout(width="20%")), + widgets.IntProgress(max=len(merging_list.keys()), layout=widgets.Layout(width="80%")), + ] + ) display(merging_ui) progress_bar_ui = merging_ui.children[1] @@ -382,28 +416,24 @@ def merge(self, output_folder): _run_index = 0 for _run in merging_list.keys(): - positions_dict = merging_list[_run] for _position in positions_dict.keys(): - - list_of_files = positions_dict[_position]['list_of_files'] + list_of_files = positions_dict[_position]["list_of_files"] o_load = Normalization() o_load.load(file=list_of_files, notebook=True) - _data = o_load.data['sample']['data'] - _metadata = o_load.data['sample']['metadata'][0] + _data = o_load.data["sample"]["data"] + _metadata = o_load.data["sample"]["metadata"][0] combined_data = SequentialCombineImagesUsingMetadata._merging_algorithm(algorithm, _data) - _new_name = self._define_merged_file_name(output_folder=output_folder, - run_label=_run, - position_label=_position) + _new_name = self._define_merged_file_name( + output_folder=output_folder, run_label=_run, position_label=_position + ) output_file_name = os.path.join(output_folder, _new_name) - file_handler.save_data(data=combined_data, - filename=output_file_name, - metadata=_metadata) + file_handler.save_data(data=combined_data, filename=output_file_name, metadata=_metadata) _run_index += 1 progress_bar_ui.value = _run_index @@ -411,32 +441,25 @@ def merge(self, output_folder): merging_ui.close() del merging_ui - display(HTML('Files have been created in : ' + \ - output_folder + '')) + display( + HTML('Files have been created in : ' + output_folder + "") + ) def make_output_folder(self, output_folder): - algorithm_selected = self.__get_formated_merging_algo_name() folder_selected = os.path.basename(os.path.dirname(self.folder_selected)) - output_folder = os.path.join(output_folder, "{}_{}".format(folder_selected, algorithm_selected)) + output_folder = os.path.join(output_folder, f"{folder_selected}_{algorithm_selected}") file_handler.make_folder(output_folder) return output_folder - def _define_merged_file_name(self, output_folder='', run_label='', position_label=''): + def _define_merged_file_name(self, output_folder="", run_label="", position_label=""): """Create the new merged file name using the run, position labels - ex: run_label = "run1" - position_label = "position6" - output_folder = "/Users/zizou/" - data was taken from folder "exp28" + ex: run_label = "run1" + position_label = "position6" + output_folder = "/Users/zizou/" + data was taken from folder "exp28" - return: "/Users/zizou/exp28_add_merged/run1_position6.tiff" + return: "/Users/zizou/exp28_add_merged/run1_position6.tiff" """ - return os.path.join(output_folder, "{}_{}.tiff".format(run_label, position_label)) - - - - - - - + return os.path.join(output_folder, f"{run_label}_{position_label}.tiff") diff --git a/notebooks/__code/shifting_time_offset.py b/notebooks/__code/shifting_time_offset.py index ec67f821..b97da0b7 100755 --- a/notebooks/__code/shifting_time_offset.py +++ b/notebooks/__code/shifting_time_offset.py @@ -1,26 +1,22 @@ -from IPython.display import display, HTML -from ipywidgets import widgets, interact -from collections import OrderedDict -from pathlib import Path -import pandas as pd -import numpy as np import re -import os +from pathlib import Path from shutil import copyfile + import matplotlib.pyplot as plt +import numpy as np +import pandas as pd +from IPython.display import HTML, display +from ipywidgets import interact, widgets -from __code.file_handler import make_ascii_file -from __code.file_handler import make_or_reset_folder -from __code.time_utility import TimestampFormatter +from __code.file_handler import make_ascii_file, make_or_reset_folder class ShiftTimeOffset: - - instrument = 'CG1D' - facility = 'HFIR' - first_file = '' + instrument = "CG1D" + facility = "HFIR" + first_file = "" list_of_fits_files = [] - timestamp_file = '' + timestamp_file = "" counts_vs_time_array = [] list_of_other_folders = [] @@ -37,7 +33,7 @@ def display_counts_vs_time(self, input_folder): self.plot_timestamp_file() def get_list_of_fits_files(self, input_folder): - list_of_fits_files = list(Path(input_folder).glob('*.fits')) + list_of_fits_files = list(Path(input_folder).glob("*.fits")) list_of_fits_files.sort() return list_of_fits_files @@ -45,7 +41,13 @@ def built_list_of_fits_files(self, input_folder): list_of_fits_files = self.get_list_of_fits_files(input_folder) if list_of_fits_files: nbr_fits_files = len(list_of_fits_files) - display(HTML('Found ' + str(nbr_fits_files) + ' FITS files to process!')) + display( + HTML( + 'Found ' + + str(nbr_fits_files) + + " FITS files to process!" + ) + ) self.list_of_fits_files = list_of_fits_files else: display(HTML('No FITS files Found!')) @@ -56,49 +58,54 @@ def retrieve_parent_folder(self, folder): def selected_other_folders(self, list_of_other_folders): self.list_of_other_folders = list_of_other_folders - display(HTML( - 'The Time correction will also be applied to the following folders:')) + display( + HTML( + 'The Time correction will also be applied to the following folders:' + ) + ) for _folder in list_of_other_folders: - display(HTML( - ' - ' + _folder + ' FITS files to process!')) + display(HTML(' - ' + _folder + " FITS files to process!")) def retrieve_name_of_timestamp_file(self, input_folder): - timestamp_files = list(Path(input_folder).glob('*_Spectra.txt')) + timestamp_files = list(Path(input_folder).glob("*_Spectra.txt")) timestamp_file = timestamp_files[0] if Path(timestamp_file).exists(): - display(HTML('Time stamp file Found (' +str(timestamp_file) + ')')) + display( + HTML( + 'Time stamp file Found (' + + str(timestamp_file) + + ")" + ) + ) self.timestamp_file = timestamp_file else: display(HTML('Time stamp not Found')) def load_timestamp_file(self, timestamp_file): - counts_vs_time_array = pd.read_csv(timestamp_file, sep='\t') + counts_vs_time_array = pd.read_csv(timestamp_file, sep="\t") return np.array(counts_vs_time_array) def plot_timestamp_file(self): if self.counts_vs_time_array == []: return - x_axis = self.counts_vs_time_array[:,0] - y_axis = self.counts_vs_time_array[:,1] + x_axis = self.counts_vs_time_array[:, 0] + y_axis = self.counts_vs_time_array[:, 1] x_index_axis = np.arange(len(y_axis)) def plot_cutoff(index): - fig, ax1 = plt.subplots() ax1.plot(x_axis, y_axis) ax1.set_xlabel(r"Time (micros)") x_position = x_axis[index] - plt.axvline(x_position, color='red') + plt.axvline(x_position, color="red") return index - self.index_slider = interact(plot_cutoff, - index=widgets.IntSlider(min=0, - max=x_index_axis[-1], - value=0, - continuous_update=False)) + self.index_slider = interact( + plot_cutoff, index=widgets.IntSlider(min=0, max=x_index_axis[-1], value=0, continuous_update=False) + ) def get_file_prefix(self, file_name): short_file_name = str(Path(file_name).name) @@ -118,8 +125,7 @@ def offset_images(self): nbr_folder = len(list_of_folders) - progress_bar = widgets.IntProgress(max=nbr_folder, - layout=widgets.Layout(width='50%')) + progress_bar = widgets.IntProgress(max=nbr_folder, layout=widgets.Layout(width="50%")) display(progress_bar) offset_index = self.index_slider.widget.result @@ -127,7 +133,6 @@ def offset_images(self): list_folder_with_error = [] for _index, _current_working_folder in enumerate(list_of_folders): - # get full list of FITS files list_of_fits_files = np.array(self.get_list_of_fits_files(_current_working_folder)) if list_of_fits_files == []: @@ -140,7 +145,7 @@ def offset_images(self): self.retrieve_name_of_timestamp_file(_current_working_folder) timestamp_file = self.timestamp_file if not Path(timestamp_file).exists(): - list_folder_with_error.append("Error in {}. Timestamp file missing!".format(_current_working_folder)) + list_folder_with_error.append(f"Error in {_current_working_folder}. Timestamp file missing!") continue # rename all files starting by file at index offset_index which will become index 0 @@ -149,21 +154,17 @@ def offset_images(self): current_working_dir = str(Path(new_list_of_fits_files[0]).parent) new_output_dir = current_working_dir + "_timeoffset_corrected" - self.copy_and_renamed_fits_files(output_dir=new_output_dir, - original_list_of_files=new_list_of_fits_files, - prefix=prefix) + self.copy_and_renamed_fits_files( + output_dir=new_output_dir, original_list_of_files=new_list_of_fits_files, prefix=prefix + ) # modify timestamp file - new_timestamp_filename = self.create_new_timestamp_filename(output_dir=new_output_dir, - old_timestamp_filename=timestamp_file) - self.create_new_timestamp_file(timestamp_file=timestamp_file, - offset=offset_index, - new_timestamp_filename=new_timestamp_filename) - - - - - + new_timestamp_filename = self.create_new_timestamp_filename( + output_dir=new_output_dir, old_timestamp_filename=timestamp_file + ) + self.create_new_timestamp_file( + timestamp_file=timestamp_file, offset=offset_index, new_timestamp_filename=new_timestamp_filename + ) progress_bar.value = _index + 1 @@ -171,15 +172,14 @@ def offset_images(self): self.display_errors(list_folder_with_error=list_folder_with_error) - - def create_new_timestamp_filename(self, output_dir='./', old_timestamp_filename=''): + def create_new_timestamp_filename(self, output_dir="./", old_timestamp_filename=""): short_old_timestamp_filename = str(Path(old_timestamp_filename).name) return str(Path(output_dir).joinpath(short_old_timestamp_filename)) - def create_new_timestamp_file(self, timestamp_file='', offset=0, new_timestamp_filename=''): + def create_new_timestamp_file(self, timestamp_file="", offset=0, new_timestamp_filename=""): timestamp_array = self.load_timestamp_file(timestamp_file) - time_axis = timestamp_array[:,0] - new_counts_axis = np.roll(np.array(timestamp_array[:,1]), -offset) + time_axis = timestamp_array[:, 0] + new_counts_axis = np.roll(np.array(timestamp_array[:, 1]), -offset) delta_time = time_axis[1] - time_axis[0] @@ -188,25 +188,23 @@ def create_new_timestamp_file(self, timestamp_file='', offset=0, new_timestamp_f # bring back axis together combined_array = np.stack((new_time_axis, new_counts_axis)).T # print("new timesamp_filename is {}".format(new_timestamp_filename)) - make_ascii_file(data=combined_array, output_file_name=new_timestamp_filename,sep='\t') + make_ascii_file(data=combined_array, output_file_name=new_timestamp_filename, sep="\t") def display_errors(self, list_folder_with_error=[]): for _line in list_folder_with_error: - display(HTML('' + _line + '!')) + display(HTML('' + _line + "!")) - def copy_and_renamed_fits_files(self, output_dir='./', original_list_of_files=[], prefix='test'): + def copy_and_renamed_fits_files(self, output_dir="./", original_list_of_files=[], prefix="test"): current_working_dir = str(Path(original_list_of_files[0]).parent) make_or_reset_folder(output_dir) log_file = str(Path(output_dir).joinpath("renaming_log.txt")) - renaming_log_file = ["Renaming schema of folder {}".format(current_working_dir), - "old name -> new name", ""] - for index, _file in enumerate(original_list_of_files): - + renaming_log_file = [f"Renaming schema of folder {current_working_dir}", "old name -> new name", ""] + for index, _file in enumerate(original_list_of_files): old_name = Path(_file).name - new_name = Path(output_dir).joinpath(prefix + "_{:05d}.fits".format(index)) + new_name = Path(output_dir).joinpath(prefix + f"_{index:05d}.fits") new_short_name = Path(new_name).name - renaming_log_file.append("{} -> {}".format(old_name, new_short_name)) + renaming_log_file.append(f"{old_name} -> {new_short_name}") # renamed here copyfile(_file, new_name) diff --git a/notebooks/__code/super_user.py b/notebooks/__code/super_user.py index 8b5dde8c..b808afed 100755 --- a/notebooks/__code/super_user.py +++ b/notebooks/__code/super_user.py @@ -1,97 +1,93 @@ -from ipywidgets import widgets -from IPython.display import display import os -from .config import password_to_unlock_config as PASSWORD +from IPython.display import display +from ipywidgets import widgets + +from __code._utilities.file import make_ascii_file_from_string, read_ascii + from .config import debugger_folder as list_debugging_folder from .config import debugging +from .config import password_to_unlock_config as PASSWORD from .config import percentage_of_images_to_use_for_roi_selection as PERCENTAGE_OF_IMAGES -from __code._utilities.file import read_ascii, make_ascii_file_from_string THIS_FILE_PATH = os.path.dirname(__file__) -CONFIG_FILE = os.path.join(THIS_FILE_PATH, 'config.py') +CONFIG_FILE = os.path.join(THIS_FILE_PATH, "config.py") class SuperUser: - def __init__(self): self.launch_ui() def launch_ui(self): - - password = widgets.Password(value="", - placeholder='Enter password', - description='Password', - diabled=False) - password.observe(self.password_entered, names='value') + password = widgets.Password(value="", placeholder="Enter password", description="Password", diabled=False) + password.observe(self.password_entered, names="value") # ---- # debugging mode - self.debugging_mode = widgets.Checkbox(value=debugging, - description="Debugging Mode", - disabled=True) + self.debugging_mode = widgets.Checkbox(value=debugging, description="Debugging Mode", disabled=True) self.debugging_folder_label = widgets.HTML("List of folders to look for when running in debugging mode.") - self.debugging_folder = widgets.Select(options=list_debugging_folder, - value=list_debugging_folder[0], - disabled=True, - description="Folders:", - layout=widgets.Layout(height="200px", - width="400px")) + self.debugging_folder = widgets.Select( + options=list_debugging_folder, + value=list_debugging_folder[0], + disabled=True, + description="Folders:", + layout=widgets.Layout(height="200px", width="400px"), + ) # list of debugging folders - self.remove_entry = widgets.Button(description="Remove Selected Entry", - disabled=True, - button_style="", - icon='minus-square', - layout=widgets.Layout(width="400px")) + self.remove_entry = widgets.Button( + description="Remove Selected Entry", + disabled=True, + button_style="", + icon="minus-square", + layout=widgets.Layout(width="400px"), + ) self.remove_entry.on_click(self.remove_entry_clicked) - self.new_entry_text = widgets.Text(value="", - description="New folder", - disabled=True) - self.add_entry = widgets.Button(description="", - disabled=True, - button_style="", - icon="plus-square", - layout=widgets.Layout(width="95px")) + self.new_entry_text = widgets.Text(value="", description="New folder", disabled=True) + self.add_entry = widgets.Button( + description="", disabled=True, button_style="", icon="plus-square", layout=widgets.Layout(width="95px") + ) self.add_entry.on_click(self.add_entry_clicked) hori_layout_percentage = widgets.HBox([self.new_entry_text, self.add_entry]) # percentage of images to use for roi selection - self.percentage_roi_label = widgets.HTML("Percentage of images to use for ROI selection", - disabled=True) + self.percentage_roi_label = widgets.HTML("Percentage of images to use for ROI selection", disabled=True) percentage_of_images = PERCENTAGE_OF_IMAGES * 100 - self.percentage_roi_value = widgets.FloatText(value=percentage_of_images, - disabled=True, - layout=widgets.Layout(width="50px")) - self.percentage_units = widgets.HTML("%", - disabled=True) - hori_layout = widgets.HBox([self.percentage_roi_label, - self.percentage_roi_value, - self.percentage_units]) + self.percentage_roi_value = widgets.FloatText( + value=percentage_of_images, disabled=True, layout=widgets.Layout(width="50px") + ) + self.percentage_units = widgets.HTML("%", disabled=True) + hori_layout = widgets.HBox([self.percentage_roi_label, self.percentage_roi_value, self.percentage_units]) # ---- - self.save_changes = widgets.Button(description="Save Changes", - disabled=True, - button_style='Success', - layout=widgets.Layout(width="400px"), - icon='floppy-o') + self.save_changes = widgets.Button( + description="Save Changes", + disabled=True, + button_style="Success", + layout=widgets.Layout(width="400px"), + icon="floppy-o", + ) self.save_changes.on_click(self.save_button_clicked) - vertical_layout = widgets.VBox([password, - widgets.HTML("
"), - self.debugging_mode, - widgets.HTML("
"), - self.debugging_folder_label, - self.debugging_folder, - self.remove_entry, - hori_layout_percentage, - widgets.HTML("
"), - hori_layout, - widgets.HTML("
"), - self.save_changes]) + vertical_layout = widgets.VBox( + [ + password, + widgets.HTML("
"), + self.debugging_mode, + widgets.HTML("
"), + self.debugging_folder_label, + self.debugging_folder, + self.remove_entry, + hori_layout_percentage, + widgets.HTML("
"), + hori_layout, + widgets.HTML("
"), + self.save_changes, + ] + ) display(vertical_layout) @@ -122,7 +118,7 @@ def add_entry_clicked(self, state): self.new_entry_text.value = "" def password_entered(self, value): - new_password = value['new'] + new_password = value["new"] if new_password == PASSWORD: disabled = False else: @@ -130,16 +126,17 @@ def password_entered(self, value): self.update_widgets(disabled=disabled) def update_widgets(self, disabled=True): - list_ui = [self.debugging_mode, - self.save_changes, - self.debugging_folder, - self.remove_entry, - self.add_entry, - self.new_entry_text, - self.percentage_roi_label, - self.percentage_roi_value, - self.percentage_units, - ] + list_ui = [ + self.debugging_mode, + self.save_changes, + self.debugging_folder, + self.remove_entry, + self.add_entry, + self.new_entry_text, + self.percentage_roi_label, + self.percentage_roi_value, + self.percentage_units, + ] for _ui in list_ui: _ui.disabled = disabled @@ -150,7 +147,7 @@ def save_button_clicked(self, value): str_list_folders = [f"{_folder}" for _folder in list_folders] str_list_folders_formatted = f"{str_list_folders}" - percentage_roi_selection = self.percentage_roi_value.value / 100. + percentage_roi_selection = self.percentage_roi_value.value / 100.0 ascii = read_ascii(CONFIG_FILE) ascii_split = ascii.split("\n") @@ -167,5 +164,4 @@ def save_button_clicked(self, value): ascii_after.append(_line) ascii_after_formatted = "\n".join(ascii_after) - make_ascii_file_from_string(text=ascii_after_formatted, - filename=CONFIG_FILE) + make_ascii_file_from_string(text=ascii_after_formatted, filename=CONFIG_FILE) diff --git a/notebooks/__code/system.py b/notebooks/__code/system.py index a9591324..c58e0378 100755 --- a/notebooks/__code/system.py +++ b/notebooks/__code/system.py @@ -1,42 +1,40 @@ -from __code import config import getpass import glob import os import platform + +from IPython.display import HTML, display from ipywidgets import widgets -from IPython.display import display -from IPython.display import HTML -from __code._utilities.time import get_current_time_in_special_file_name_format -from __code import LOGGER_FILE +from __code import LOGGER_FILE, config from __code._utilities.file import append_to_file +from __code._utilities.time import get_current_time_in_special_file_name_format -list_instrument_per_facility = {'HFIR': ['CG1D'], - 'SNS': ['SNAP', 'VENUS']} - - +list_instrument_per_facility = {"HFIR": ["CG1D"], "SNS": ["SNAP", "VENUS"]} class System: - - working_dir = '' - start_path = '' + working_dir = "" + start_path = "" @classmethod - def select_working_dir(cls, debugger_folder='', system_folder='', - facility='HFIR', - instrument='CG1D', - ipts=None, - instrument_to_exclude=None, - notebook="N/A"): - + def select_working_dir( + cls, + debugger_folder="", + system_folder="", + facility="HFIR", + instrument="CG1D", + ipts=None, + instrument_to_exclude=None, + notebook="N/A", + ): try: - debugging = config.debugging if debugging: print("** Using Debugging Mode! **") - display(HTML(""" + display( + HTML(""" - """)) + """) + ) full_list_instruments = cls.get_full_list_instrument(instrument_to_exclude=instrument_to_exclude) full_list_instruments.sort() @@ -53,63 +52,70 @@ def select_working_dir(cls, debugger_folder='', system_folder='', else: default_instrument = full_list_instruments[0] - start_path = cls.get_start_path(debugger_folder=debugger_folder, - system_folder=system_folder, - instrument=default_instrument) + start_path = cls.get_start_path( + debugger_folder=debugger_folder, system_folder=system_folder, instrument=default_instrument + ) cls.start_path = start_path - select_instrument_ui = widgets.HBox([widgets.Label("Select Instrument", - layout=widgets.Layout(width='20%')), - widgets.Select(options=full_list_instruments, - value=default_instrument, - layout=widgets.Layout(width='20%'))]) + select_instrument_ui = widgets.HBox( + [ + widgets.Label("Select Instrument", layout=widgets.Layout(width="20%")), + widgets.Select( + options=full_list_instruments, value=default_instrument, layout=widgets.Layout(width="20%") + ), + ] + ) cls.instrument_ui = select_instrument_ui.children[1] - cls.instrument_ui.observe(cls.check_instrument_input, names='value') + cls.instrument_ui.observe(cls.check_instrument_input, names="value") - help_ui = widgets.Button(description="HELP", - button_style='info') + help_ui = widgets.Button(description="HELP", button_style="info") help_ui.on_click(cls.select_ipts_help) - top_hbox = widgets.HBox([widgets.Label("IPTS-"), - widgets.Text(value="", - layout=widgets.Layout(width='10%')), - widgets.Label("DOES NOT EXIST!", - layout=widgets.Layout(width='20%'))]) + top_hbox = widgets.HBox( + [ + widgets.Label("IPTS-"), + widgets.Text(value="", layout=widgets.Layout(width="10%")), + widgets.Label("DOES NOT EXIST!", layout=widgets.Layout(width="20%")), + ] + ) cls.result_label = top_hbox.children[2] cls.ipts_number = top_hbox.children[1] cls.result_label.add_class("result_label") or_label = widgets.Label("OR") list_and_default_folders = cls.get_list_folders(start_path=start_path) - user_list_folders = list_and_default_folders['user_list_folders'] - default_value = list_and_default_folders['default_value'] - - bottom_hbox = widgets.HBox([widgets.Label("Select Folder", - layout=widgets.Layout(width="20%")), - widgets.Select(options=user_list_folders, - value=default_value, - layout=widgets.Layout(height='300px')), - ]) + user_list_folders = list_and_default_folders["user_list_folders"] + default_value = list_and_default_folders["default_value"] + + bottom_hbox = widgets.HBox( + [ + widgets.Label("Select Folder", layout=widgets.Layout(width="20%")), + widgets.Select( + options=user_list_folders, value=default_value, layout=widgets.Layout(height="300px") + ), + ] + ) cls.user_list_folders = user_list_folders box = widgets.VBox([select_instrument_ui, top_hbox, or_label, bottom_hbox, help_ui]) display(box) cls.working_dir_ui = bottom_hbox.children[1] cls.manual_ipts_entry_ui = top_hbox.children[1] - cls.manual_ipts_entry_ui.observe(cls.check_ipts_input, names='value') + cls.manual_ipts_entry_ui.observe(cls.check_ipts_input, names="value") cls.result_label.value = "" if ipts is not None: cls.working_dir_ui.value = ipts - _, ipts_number = ipts.split('-') + _, ipts_number = ipts.split("-") cls.ipts_number.value = ipts_number except: cls.working_dir = os.path.expanduser("~") - display(HTML('working dir set to -> ' + cls.working_dir + - '')) + display( + HTML('working dir set to -> ' + cls.working_dir + "") + ) cls.log_use(notebook=notebook) @@ -124,7 +130,6 @@ def log_use(cls, notebook="N/A"): @classmethod def get_full_list_instrument(cls, instrument_to_exclude=None): - list_instrument = [] for _key in list_instrument_per_facility.keys(): _facility_list_instrument = list_instrument_per_facility[_key] @@ -136,7 +141,7 @@ def get_full_list_instrument(cls, instrument_to_exclude=None): return list_instrument @classmethod - def get_list_folders(cls, start_path=''): + def get_list_folders(cls, start_path=""): debugging = config.debugging if debugging: @@ -145,12 +150,12 @@ def get_list_folders(cls, start_path=''): start_path = config.debugger_instrument_folder[computer_name][instrument] cls.start_path = start_path - list_folders = sorted(glob.glob(os.path.join(start_path, '*')), reverse=True) + list_folders = sorted(glob.glob(os.path.join(start_path, "*")), reverse=True) short_list_folders = [os.path.basename(_folder) for _folder in list_folders if os.path.isdir(_folder)] # short_list_folders = sorted(short_list_folders) # if user mode, only display folder user can access - default_value = '' + default_value = "" if not debugging: user_list_folders = [os.path.basename(_folder) for _folder in list_folders if os.access(_folder, os.R_OK)] if len(user_list_folders) > 0: @@ -158,22 +163,20 @@ def get_list_folders(cls, start_path=''): else: # debugging user_list_folders = short_list_folders default_value = config.project_folder - if not (default_value in user_list_folders): + if default_value not in user_list_folders: if len(user_list_folders) > 0: default_value = user_list_folders[0] - return {'user_list_folders': user_list_folders, - 'default_value': default_value} + return {"user_list_folders": user_list_folders, "default_value": default_value} @classmethod - def get_facility_from_instrument(cls, instrument='CG1D'): - + def get_facility_from_instrument(cls, instrument="CG1D"): for _facility in list_instrument_per_facility: list_instrument = list_instrument_per_facility[_facility] if instrument in list_instrument: return _facility - return 'HFIR' + return "HFIR" @classmethod def get_instrument_selected(cls): @@ -188,8 +191,7 @@ def get_facility_selected(cls): return cls.get_facility_from_instrument(instrument=cls.get_instrument_selected()) @classmethod - def get_start_path(cls, debugger_folder='', system_folder='', instrument=''): - + def get_start_path(cls, debugger_folder="", system_folder="", instrument=""): facility = cls.get_facility_from_instrument(instrument=instrument) username = getpass.getuser() @@ -198,7 +200,7 @@ def get_start_path(cls, debugger_folder='', system_folder='', instrument=''): debugger_username = config.debugger_username found_a_folder = False - if debugger_folder == '': + if debugger_folder == "": for _folder in config.debugger_folder: if os.path.exists(_folder): debugger_folder = _folder @@ -206,7 +208,7 @@ def get_start_path(cls, debugger_folder='', system_folder='', instrument=''): break if not found_a_folder: - debugger_folder = './' + debugger_folder = "./" if debugging and (username == debugger_username): # print("** Using Debugging Mode! **") @@ -220,41 +222,43 @@ def get_start_path(cls, debugger_folder='', system_folder='', instrument=''): start_path = debugger_folder else: - if system_folder == '': - start_path = "/{}/{}/".format(facility, instrument) + if system_folder == "": + start_path = f"/{facility}/{instrument}/" else: start_path = system_folder import warnings - warnings.filterwarnings('ignore') + + warnings.filterwarnings("ignore") return start_path @classmethod def select_ipts_help(cls, value): import webbrowser + webbrowser.open("https://neutronimaging.pages.ornl.gov/tutorial/notebooks/select_ipts/") @classmethod def check_instrument_input(cls, value_dict): - instrument = value_dict['new'] + instrument = value_dict["new"] start_path = cls.get_start_path(instrument=instrument) cls.start_path = start_path list_and_default_folders = cls.get_list_folders(start_path=start_path) - user_list_folders = list_and_default_folders['user_list_folders'] - default_value = list_and_default_folders['default_value'] + user_list_folders = list_and_default_folders["user_list_folders"] + default_value = list_and_default_folders["default_value"] cls.working_dir_ui.options = user_list_folders cls.working_dir_ui.value = default_value - cls.ipts_number.value = '' - cls.result_label.value = '' + cls.ipts_number.value = "" + cls.result_label.value = "" @classmethod def check_ipts_input(cls, value): - ipts = value['new'] - full_ipts = 'IPTS-{}'.format(ipts) + ipts = value["new"] + full_ipts = f"IPTS-{ipts}" if os.path.exists(os.path.join(cls.start_path, full_ipts)): # display(HTML(""" # # """)) cls.result_label.value = "OK" - #select IPTS folder defined + # select IPTS folder defined cls.working_dir_ui.value = full_ipts else: diff --git a/notebooks/__code/table_handler.py b/notebooks/__code/table_handler.py index 82426e36..9be94414 100755 --- a/notebooks/__code/table_handler.py +++ b/notebooks/__code/table_handler.py @@ -100,8 +100,7 @@ def insert_empty_row(self, row=0): self.table_ui.insertRow(row) def insert_row(self, row=0, list_col_name=None): - """row is the row number - """ + """row is the row number""" self.table_ui.insertRow(row) for column, _text in enumerate(list_col_name): _item = QtGui.QTableWidgetItem(_text) @@ -114,14 +113,14 @@ def insert_empty_column(self, column): self.table_ui.insertColumn(column) def set_item_with_float(self, row=0, column=0, float_value=""): - if (str(float_value) == 'None') or (str(float_value) == 'N/A'): + if (str(float_value) == "None") or (str(float_value) == "N/A"): _str_value = "N/A" else: _str_value = self.cell_str_format.format(float(float_value)) self.table_ui.item(row, column).setText(_str_value) def insert_item_with_float(self, row=0, column=0, float_value="", format_str="{}"): - if (str(float_value) == 'None') or (str(float_value) == 'N/A'): + if (str(float_value) == "None") or (str(float_value) == "N/A"): _str_value = "N/A" else: _str_value = format_str.format(float(float_value)) diff --git a/notebooks/__code/template_ui.py b/notebooks/__code/template_ui.py index 6941f456..b7c6dd9c 100755 --- a/notebooks/__code/template_ui.py +++ b/notebooks/__code/template_ui.py @@ -1,26 +1,21 @@ -from IPython.display import HTML -from IPython.display import display - import pyqtgraph as pg +from IPython.display import HTML, display try: - from PyQt4.QtGui import QFileDialog from PyQt4 import QtCore, QtGui - from PyQt4.QtGui import QMainWindow + from PyQt4.QtGui import QFileDialog, QMainWindow except ImportError: - from PyQt5.QtWidgets import QFileDialog from PyQt5 import QtCore, QtGui - from PyQt5.QtWidgets import QApplication, QMainWindow + from PyQt5.QtWidgets import QMainWindow from NeuNorm.normalization import Normalization -from __code.ui_template import Ui_MainWindow as UiMainWindow from __code.file_folder_browser import FileFolderBrowser +from __code.ui_template import Ui_MainWindow as UiMainWindow class InterfaceHandler(FileFolderBrowser): - - def __init__(self, working_dir=''): + def __init__(self, working_dir=""): super(InterfaceHandler, self).__init__(working_dir=working_dir) def load(self): @@ -31,18 +26,20 @@ def load(self): class Interface(QMainWindow): - live_data = [] def __init__(self, parent=None, o_norm=None): - - display(HTML('Check UI that popped up \ - (maybe hidden behind this browser!)')) + display( + HTML( + 'Check UI that popped up \ + (maybe hidden behind this browser!)' + ) + ) self.o_norm = o_norm - self.list_files = self.o_norm.data['sample']['file_name'] - self.list_data = self.o_norm.data['sample']['data'] + self.list_files = self.o_norm.data["sample"]["file_name"] + self.list_data = self.o_norm.data["sample"]["data"] QMainWindow.__init__(self, parent=parent) self.ui = UiMainWindow() @@ -110,6 +107,3 @@ def display_image(self, image): def closeEvent(self, eventhere=None): print("Leaving Parameters Selection UI") - - - diff --git a/notebooks/__code/time_utility.py b/notebooks/__code/time_utility.py index 557c932c..725ead85 100755 --- a/notebooks/__code/time_utility.py +++ b/notebooks/__code/time_utility.py @@ -1,13 +1,13 @@ +import datetime import os -from PIL import Image -import numpy as np import time +from collections import OrderedDict + from dateutil.parser import parse from dateutil.relativedelta import relativedelta -import datetime -from collections import OrderedDict -from ipywidgets import widgets from IPython.display import display +from ipywidgets import widgets +from PIL import Image from __code import file_handler from __code.metadata_handler import MetadataHandler @@ -15,24 +15,18 @@ TIMESTAMP_FORMAT = "%Y-%m-%d %H:%M:%S" -def format_time_stamp(file_name = None, time_stamp = None): +def format_time_stamp(file_name=None, time_stamp=None): """Format the time stamp to easily retrieve the day, time, hour, and keep only short file name""" - + _short_file_name = os.path.basename(file_name) [week_day, month, day, hours, year] = time_stamp.split() - - [hours, minutes, seconds] = hours.split(':') - _dict_time = {"hours": hours, - "minutes": minutes, - "seconds": seconds} - - _dict_time_stamp = {"week_day": week_day, - "month": month, - "day": day, - "hours": _dict_time, - "year": year} - + + [hours, minutes, seconds] = hours.split(":") + _dict_time = {"hours": hours, "minutes": minutes, "seconds": seconds} + + _dict_time_stamp = {"week_day": week_day, "month": month, "day": day, "hours": _dict_time, "year": year} + return [_short_file_name, _dict_time_stamp] @@ -41,33 +35,35 @@ def convert_system_time_into_hours(system_time_s): return time_hour -def retrieve_time_stamp(filename=''): +def retrieve_time_stamp(filename=""): if not os.path.exists(filename): raise OSError - + image = Image.open(filename) - + metadata = image.tag_v2.as_dict() acquisition_time = metadata[65000][0] - + time_stamp = {} - time_stamp['acquisition_time_computer_format'] = acquisition_time - time_stamp['acquisition_time_user_format'] = time.ctime(acquisition_time) - + time_stamp["acquisition_time_computer_format"] = acquisition_time + time_stamp["acquisition_time_user_format"] = time.ctime(acquisition_time) + return time_stamp -def retrieve_exposure_time(filename=''): + +def retrieve_exposure_time(filename=""): if not os.path.exists(filename): return -1 - + image = Image.open(filename) metadata = image.tag_v2.as_dict() - exposure_label_and_time = metadata[65021][0].split(':') + exposure_label_and_time = metadata[65021][0].split(":") exposure_time = float(exposure_label_and_time[1]) - + return exposure_time + def keep_s_precision(time_s): time_10s = time_s / _coeff time_10s_int = int(time_10s) @@ -75,54 +71,53 @@ def keep_s_precision(time_s): delta_time_s = delta_time_10s * _coeff return delta_time_s + def get_dict_of_time_stamps(file, index_file=-1, time_zero=-1, coeff=1): _dict = OrderedDict() acquisition_time_dict = retrieve_time_stamp(filename=file) - acquisition_time = acquisition_time_dict['acquisition_time_computer_format'] - _dict['raw_time_stamp'] = acquisition_time - _dict['ctime'] = acquisition_time_dict['acquisition_time_user_format'] + acquisition_time = acquisition_time_dict["acquisition_time_computer_format"] + _dict["raw_time_stamp"] = acquisition_time + _dict["ctime"] = acquisition_time_dict["acquisition_time_user_format"] if index_file == 0: - _dict['ms_since_first_image'] = 0 + _dict["ms_since_first_image"] = 0 else: delta_time = acquisition_time - time_zero - delta_time_ms = delta_time * 1000. - _dict['ms_since_first_image'] = delta_time_ms + delta_time_ms = delta_time * 1000.0 + _dict["ms_since_first_image"] = delta_time_ms return _dict -class RetrieveTimeStamp(object): - +class RetrieveTimeStamp: list_time_stamp = [] list_time_stamp_user_format = [] output_list_files = [] - input_list_files =[] + input_list_files = [] - def __init__(self, folder='', files=[], is_notebook=False): + def __init__(self, folder="", files=[], is_notebook=False): self.folder = folder self.input_list_files = files self.__is_notebook = is_notebook def _run(self): - - [list_files, ext] = file_handler.retrieve_list_of_most_dominant_extension_from_folder(folder=self.folder, - files=self.input_list_files) + [list_files, ext] = file_handler.retrieve_list_of_most_dominant_extension_from_folder( + folder=self.folder, files=self.input_list_files + ) self.output_list_files = list_files - if ext.lower() in ['.tiff', '.tif']: - ext = 'tif' - elif ext.lower() == '.fits': - ext = 'fits' + if ext.lower() in [".tiff", ".tif"]: + ext = "tif" + elif ext.lower() == ".fits": + ext = "fits" else: raise ValueError if self.__is_notebook: - box = widgets.HBox([widgets.Label("Retrieving Time Stamp", - layout=widgets.Layout(width='20%')), - widgets.IntProgress(min=0, - max=len(list_files), - value=0, - layout=widgets.Layout(width='50%')) - ]) + box = widgets.HBox( + [ + widgets.Label("Retrieving Time Stamp", layout=widgets.Layout(width="20%")), + widgets.IntProgress(min=0, max=len(list_files), value=0, layout=widgets.Layout(width="50%")), + ] + ) progress_bar = box.children[1] display(box) @@ -145,20 +140,19 @@ def _run(self): class TimestampFormatter: - - list_input_timestamp = ["%m/%d/%Y %H:%M:%S", - "%m/%d/%Y %I:%M:%S", - "%Y-%m-%d %H:%M:%S", - "%Y-%m-%d %I:%M:%S", - "%d/%m/%Y %H:%M:%S", - "%d/%m/%Y %I:%M:%S", - "%Y/%m/%d %H:%M:%S", - "%Y/%m/%d %I:%M:%S", - "%Y-%m-%dT%I:%M:%S-"] - - def __init__(self, timestamp="", - input_timestamp_format=None, - output_timestamp_format=TIMESTAMP_FORMAT): + list_input_timestamp = [ + "%m/%d/%Y %H:%M:%S", + "%m/%d/%Y %I:%M:%S", + "%Y-%m-%d %H:%M:%S", + "%Y-%m-%d %I:%M:%S", + "%d/%m/%Y %H:%M:%S", + "%d/%m/%Y %I:%M:%S", + "%Y/%m/%d %H:%M:%S", + "%Y/%m/%d %I:%M:%S", + "%Y-%m-%dT%I:%M:%S-", + ] + + def __init__(self, timestamp="", input_timestamp_format=None, output_timestamp_format=TIMESTAMP_FORMAT): self.timestamp = timestamp if input_timestamp_format is None: self.input_timestamp_format = self.list_input_timestamp @@ -174,7 +168,7 @@ def format_oncat_timestamp(self): [time, _] = time_edt.split(".") else: time = time_edt - return "{} {}".format(date, time) + return f"{date} {time}" def format(self): if self.input_timestamp_format[0] == TIMESTAMP_FORMAT: @@ -188,31 +182,25 @@ def format(self): return formatted_timestamp def convert_timestamp(self, timestamp): - """TIMESTAMP_FORMAT = "%Y-%m-%d %I:%M:%S" """ + """TIMESTAMP_FORMAT = "%Y-%m-%d %I:%M:%S" """ input_timestamp_format = self.list_input_timestamp o_time = None for _input_timestamp_format in input_timestamp_format: # print("trying this format {} with this {}".format(_input_timestamp_format, timestamp)) - o_time = TimestampFormatter.get_time_dict(timestamp=timestamp, - input_time_format=_input_timestamp_format) + o_time = TimestampFormatter.get_time_dict(timestamp=timestamp, input_time_format=_input_timestamp_format) if o_time: break if o_time: - converted_timestamp = "{}-{:02d}-{:02d} {:02d}:{:02d}:{:02d}".format(o_time.tm_year, - o_time.tm_mon, - o_time.tm_mday, - o_time.tm_hour, - o_time.tm_min, - o_time.tm_sec) + converted_timestamp = f"{o_time.tm_year}-{o_time.tm_mon:02d}-{o_time.tm_mday:02d} {o_time.tm_hour:02d}:{o_time.tm_min:02d}:{o_time.tm_sec:02d}" return converted_timestamp else: - raise ValueError("Time {} could not be converted! ".format(timestamp)) + raise ValueError(f"Time {timestamp} could not be converted! ") @staticmethod - def get_time_dict(timestamp="", input_time_format='%m/%d/%Y %H:%M:%S'): + def get_time_dict(timestamp="", input_time_format="%m/%d/%Y %H:%M:%S"): """return the time dict using the input time format proposed time_dict.tm_year time_dict.tm_mon @@ -226,7 +214,7 @@ def get_time_dict(timestamp="", input_time_format='%m/%d/%Y %H:%M:%S'): time_dict = time.strptime(timestamp.strip(), input_time_format) # print("{} -> {}".format(timestamp, time_dict)) except: - ValueError("Error converting {} -> {}".format(timestamp, input_time_format)) + ValueError(f"Error converting {timestamp} -> {input_time_format}") time_dict = None return time_dict @@ -238,29 +226,28 @@ def convert_to_second(timestamp_value, timestamp_format=TIMESTAMP_FORMAT): class AbsoluteTimeHandler: - def __init__(self, initial_absolute_time=None): if initial_absolute_time is None: raise ValueError("Please provide an initial absolute time format as 'YYYY-MM-DDTHH:MM:SS.SSSSSS-05:00") self.formatted_initial_absolute_time = parse(initial_absolute_time) - def get_absolute_time_for_this_delta_time_array(self, delta_time_array=None, units='seconds'): - ''' + def get_absolute_time_for_this_delta_time_array(self, delta_time_array=None, units="seconds"): + """ :param delta_time_array: list of time offset :param units: seconds by default ['seconds', 'minutes', 'hours'] :return: list of time in absolute scale - ''' + """ if delta_time_array is None: raise ValueError("Empty delta time array!") - if units == 'seconds': + if units == "seconds": delta_time_formated = [relativedelta(seconds=t) for t in delta_time_array] - elif units == 'minutes': + elif units == "minutes": delta_time_formated = [relativedelta(minutes=m) for m in delta_time_array] - elif units == 'hours': + elif units == "hours": delta_time_formated = [relativedelta(hours=h) for h in delta_time_array] else: raise NotImplementedError("time units not implemented!") @@ -272,12 +259,12 @@ def get_absolute_time_for_this_delta_time_array(self, delta_time_array=None, uni class RelativeTimeHandler: - '''the main goal of this class is to produce a relative time array using another starting time as a start. - In other words, let suppose some metadata got recorded in a nexus that started at time t0, another file recorded - another set of those same metadata but this file started at time t1. We want to calculate the time of this - set of metadata relative to the first file recorded. To do so we simply need to add (t1-t0) to the second - set of time array - ''' + """the main goal of this class is to produce a relative time array using another starting time as a start. + In other words, let suppose some metadata got recorded in a nexus that started at time t0, another file recorded + another set of those same metadata but this file started at time t1. We want to calculate the time of this + set of metadata relative to the first file recorded. To do so we simply need to add (t1-t0) to the second + set of time array + """ def __init__(self, master_initial_time=None, local_initial_time=None): if (master_initial_time is None) or (local_initial_time is None): @@ -293,7 +280,6 @@ def __init__(self, master_initial_time=None, local_initial_time=None): self.time_offset_calculated_s = time_offset_calculated.seconds def get_relative_time_for_this_time_array(self, time_array=None): - if time_array is None: raise ValueError("Empty time array!") diff --git a/notebooks/__code/timepix3_event_hdf5_he3_detector/timepix3_event_hdf5_he3_detector.py b/notebooks/__code/timepix3_event_hdf5_he3_detector/timepix3_event_hdf5_he3_detector.py index bdf355f0..53f66e85 100755 --- a/notebooks/__code/timepix3_event_hdf5_he3_detector/timepix3_event_hdf5_he3_detector.py +++ b/notebooks/__code/timepix3_event_hdf5_he3_detector/timepix3_event_hdf5_he3_detector.py @@ -1,16 +1,16 @@ import logging + import h5py -import numpy as np +import ipywidgets as widgets import matplotlib.pyplot as plt +import numpy as np +from IPython.display import HTML, display from ipywidgets import interactive -import ipywidgets as widgets -from IPython.display import display, HTML - -from neutronbraggedge.experiment_handler import * from neutronbraggedge.braggedge import BraggEdge as BraggEdgeLibrary +from neutronbraggedge.experiment_handler import * +from __code._utilities import ANGSTROMS, LAMBDA, MICRO from __code._utilities.file import get_full_home_file_name -from __code._utilities import LAMBDA, MICRO, ANGSTROMS from __code.ipywe import fileselector LOG_FILE_NAME = ".timepix3_event_hdf5_he3_detector.log" @@ -27,25 +27,29 @@ def __init__(self, working_dir=None): self.working_dir = working_dir self.log_file_name = get_full_home_file_name(LOG_FILE_NAME) - logging.basicConfig(filename=self.log_file_name, - filemode='w', - format='[%(levelname)s] - %(asctime)s - %(message)s', - level=logging.INFO) + logging.basicConfig( + filename=self.log_file_name, + filemode="w", + format="[%(levelname)s] - %(asctime)s - %(message)s", + level=logging.INFO, + ) logging.info("*** Starting a new session ***") def select_nexus(self): - self.nexus_ui = fileselector.FileSelectorPanel(instruction='Select NeXus file ...', - start_dir=self.working_dir, - next=self.load_nexus, - filters={'NeXus': ".h5"}, - multiple=False) + self.nexus_ui = fileselector.FileSelectorPanel( + instruction="Select NeXus file ...", + start_dir=self.working_dir, + next=self.load_nexus, + filters={"NeXus": ".h5"}, + multiple=False, + ) self.nexus_ui.show() def load_nexus(self, nexus_file_name=None): logging.info(f"Loading NeXus: {nexus_file_name}") - with h5py.File(nexus_file_name, 'r') as f: + with h5py.File(nexus_file_name, "r") as f: try: - self.event_data = np.array(f['entry']['monitor2']['event_time_offset']) + self.event_data = np.array(f["entry"]["monitor2"]["event_time_offset"]) logging.info("Loading a H3 NeXus event file!") self.rebin_and_display_h3_data() except KeyError: @@ -53,35 +57,26 @@ def load_nexus(self, nexus_file_name=None): display(HTML("Wrong file format!")) def rebin_and_display_h3_data(self): - - hbox = widgets.HBox([widgets.Label("Bin size:", - layout=widgets.Layout(width="100px")), - widgets.Label("NaN", - layout=widgets.Layout(width="200px"))]) + hbox = widgets.HBox( + [ + widgets.Label("Bin size:", layout=widgets.Layout(width="100px")), + widgets.Label("NaN", layout=widgets.Layout(width="200px")), + ] + ) display(hbox) bin_size = hbox.children[1] - fig, ax = plt.subplots(figsize=(8, 8), - nrows=1, - ncols=1, - num="Histogram of He3 detector") - - def plot_rebinned_data(x_axis='TOF', - nbrs_bins=2, - dSD_m=19.855, - offset_micros=0, - element='Ni' - ): - - if element == 'Ni': - _handler = BraggEdgeLibrary(material=[element], - number_of_bragg_edges=5) + fig, ax = plt.subplots(figsize=(8, 8), nrows=1, ncols=1, num="Histogram of He3 detector") + + def plot_rebinned_data(x_axis="TOF", nbrs_bins=2, dSD_m=19.855, offset_micros=0, element="Ni"): + if element == "Ni": + _handler = BraggEdgeLibrary(material=[element], number_of_bragg_edges=5) else: # Ta - _handler = BraggEdgeLibrary(new_material=[{'name': 'Ta', - 'lattice': 3.3058, - 'crystal_structure': 'BCC'}], - number_of_bragg_edges=5) + _handler = BraggEdgeLibrary( + new_material=[{"name": "Ta", "lattice": 3.3058, "crystal_structure": "BCC"}], + number_of_bragg_edges=5, + ) self.bragg_edges = _handler.bragg_edges self.hkl = _handler.hkl @@ -90,28 +85,29 @@ def plot_rebinned_data(x_axis='TOF', histo_data, bins_array = np.histogram(self.event_data, nbrs_bins) bin_value = bins_array[1] - bins_array[0] - if x_axis == 'TOF': + if x_axis == "TOF": tof_array = bins_array[:-1] # micros x_axis_array = tof_array xlabel = "TOF offset (" + MICRO + "s)" else: - _exp = Experiment(tof=bins_array[:-1] * 1e-6, # to convert to seconds - distance_source_detector_m=dSD_m, - detector_offset_micros=offset_micros) + _exp = Experiment( + tof=bins_array[:-1] * 1e-6, # to convert to seconds + distance_source_detector_m=dSD_m, + detector_offset_micros=offset_micros, + ) lambda_array = _exp.lambda_array[:] * 1e10 # to be in Angstroms x_axis_array = lambda_array xlabel = LAMBDA + "(" + ANGSTROMS + ")" ax.cla() - ax.plot(x_axis_array, histo_data, '.') + ax.plot(x_axis_array, histo_data, ".") ax.set_ylabel("Counts") ax.set_xlabel(xlabel) bin_size.value = f"{bin_value: .2f}" max_counts = np.max(histo_data) - if x_axis == 'lambda': - + if x_axis == "lambda": logging.info(f"for Ni: {self.hkl[element] =}") for _index, _x in enumerate(self.bragg_edges[element]): _hkl_array = self.hkl[element][_index] @@ -119,34 +115,28 @@ def plot_rebinned_data(x_axis='TOF', _hkl = ",".join(_str_hkl_array) # to display _x in the right axis - ax.axvline(x=_x, color='r', linestyle='--') - - ax.text(_x, (max_counts - max_counts / 7), - _hkl, - ha="center", - rotation=45, - size=15, - ) - - v = interactive(plot_rebinned_data, - x_axis=widgets.RadioButtons(options=['TOF', 'lambda'], - value='lambda', - ), - nbrs_bins=widgets.IntSlider(value=10000, - min=1, - max=100000, - continuous_update=False), - dSD_m=widgets.FloatSlider(value=19.855, - min=15, - max=25, - step=0.001, - continuous_update=False, - readout_format=".3f"), - offset_micros=widgets.IntSlider(value=0, - min=0, - max=15000, - continuous_update=False), - element=widgets.RadioButtons(options=['Ni', 'Ta'], - value='Ni'), - ) + ax.axvline(x=_x, color="r", linestyle="--") + + ax.text( + _x, + (max_counts - max_counts / 7), + _hkl, + ha="center", + rotation=45, + size=15, + ) + + v = interactive( + plot_rebinned_data, + x_axis=widgets.RadioButtons( + options=["TOF", "lambda"], + value="lambda", + ), + nbrs_bins=widgets.IntSlider(value=10000, min=1, max=100000, continuous_update=False), + dSD_m=widgets.FloatSlider( + value=19.855, min=15, max=25, step=0.001, continuous_update=False, readout_format=".3f" + ), + offset_micros=widgets.IntSlider(value=0, min=0, max=15000, continuous_update=False), + element=widgets.RadioButtons(options=["Ni", "Ta"], value="Ni"), + ) display(v) diff --git a/notebooks/__code/timepix3_from_event_to_histo_hdf5/timepix3_from_event_to_histo_hdf5.py b/notebooks/__code/timepix3_from_event_to_histo_hdf5/timepix3_from_event_to_histo_hdf5.py index 3db89b7c..0b0c3a0f 100755 --- a/notebooks/__code/timepix3_from_event_to_histo_hdf5/timepix3_from_event_to_histo_hdf5.py +++ b/notebooks/__code/timepix3_from_event_to_histo_hdf5/timepix3_from_event_to_histo_hdf5.py @@ -1,20 +1,18 @@ -import os import logging +import os + +import algotom.io.loadersaver as losa import h5py -import numpy as np +import ipywidgets as widgets import matplotlib.pyplot as plt +import numpy as np +from IPython.display import HTML, display from ipywidgets import interactive -import ipywidgets as widgets -from IPython.display import display, HTML -import algotom.io.loadersaver as losa - from neutronbraggedge.experiment_handler import * -from neutronbraggedge.braggedge import BraggEdge as BraggEdgeLibrary from __code._utilities.file import get_full_home_file_name -from __code._utilities import LAMBDA, MICRO, ANGSTROMS -from __code.ipywe import fileselector from __code.file_folder_browser import FileFolderBrowser +from __code.ipywe import fileselector LOG_FILE_NAME = ".timepix3_from_event_to_histo_hdf5.log" @@ -27,7 +25,7 @@ class Timepix3FromEventToHistoHdf5: event_data = None # mode is 'h3' or 'mcp' - mode = 'h3' + mode = "h3" # array of tof bins bins_tof = None @@ -36,18 +34,22 @@ def __init__(self, working_dir=None): self.working_dir = working_dir self.log_file_name = get_full_home_file_name(LOG_FILE_NAME) - logging.basicConfig(filename=self.log_file_name, - filemode='w', - format='[%(levelname)s] - %(asctime)s - %(message)s', - level=logging.INFO) + logging.basicConfig( + filename=self.log_file_name, + filemode="w", + format="[%(levelname)s] - %(asctime)s - %(message)s", + level=logging.INFO, + ) logging.info("*** Starting a new session ***") def select_event_nexus(self): - self.nexus_ui = fileselector.FileSelectorPanel(instruction='Select NeXus file ...', - start_dir=self.working_dir, - next=self.display_tree_structure, - filters={'NeXus': ".h5"}, - multiple=False) + self.nexus_ui = fileselector.FileSelectorPanel( + instruction="Select NeXus file ...", + start_dir=self.working_dir, + next=self.display_tree_structure, + filters={"NeXus": ".h5"}, + multiple=False, + ) self.nexus_ui.show() def display_tree_structure(self, nexus_file_name=None): @@ -65,62 +67,58 @@ def collect_metadata(self): min_tof = np.min(self.tof_array) max_tof = np.max(self.tof_array) - self.metadata = {'nbr_events': nbr_events, - 'x': {'min': min_x, - 'max': max_x, - }, - 'y': {'min': min_y, - 'max': max_y, - }, - 'tof': {'min': min_tof, - 'max': max_tof, - }, - } + self.metadata = { + "nbr_events": nbr_events, + "x": { + "min": min_x, + "max": max_x, + }, + "y": { + "min": min_y, + "max": max_y, + }, + "tof": { + "min": min_tof, + "max": max_tof, + }, + } def format_metadata(self): metadata = [f"Number of events: {self.metadata['nbr_events']}"] - metadata.append(f"x array:") + metadata.append("x array:") metadata.append(f" min: {self.metadata['x']['min']}") metadata.append(f" max: {self.metadata['x']['max']}") - metadata.append(f"y array:") + metadata.append("y array:") metadata.append(f" min: {self.metadata['y']['min']}") metadata.append(f" max: {self.metadata['y']['max']}") - metadata.append(f"tof array:") + metadata.append("tof array:") metadata.append(f" min: {self.metadata['tof']['min']}") metadata.append(f" max: {self.metadata['tof']['max']}") return "\n".join(metadata) def display_infos(self): - self.collect_metadata() metadata = self.format_metadata() - vbox = widgets.VBox([widgets.Label("Metadata"), - widgets.Textarea(value=metadata, - disabled=True, - layout=widgets.Layout(height='200px'))]) + vbox = widgets.VBox( + [ + widgets.Label("Metadata"), + widgets.Textarea(value=metadata, disabled=True, layout=widgets.Layout(height="200px")), + ] + ) display(vbox) def define_detector(self): - self.width_ui = widgets.IntText(value=1024, - description="Width") - self.height_ui = widgets.IntText(value=1024, - description="Height") - vbox = widgets.VBox([widgets.Label("MCP detector size:"), - self.height_ui, - self.width_ui]) + self.width_ui = widgets.IntText(value=1024, description="Width") + self.height_ui = widgets.IntText(value=1024, description="Height") + vbox = widgets.VBox([widgets.Label("MCP detector size:"), self.height_ui, self.width_ui]) display(vbox) def select_binning_parameter(self): - - self.nbr_bin_ui = widgets.IntText(value=1000, - description="Nbr of bins:") + self.nbr_bin_ui = widgets.IntText(value=1000, description="Nbr of bins:") display(self.nbr_bin_ui) - self.range_to_use = widgets.IntSlider(value=50, - max=100, - min=1, - description="% to use") + self.range_to_use = widgets.IntSlider(value=50, max=100, min=1, description="% to use") display(self.range_to_use) def bins(self): @@ -141,13 +139,13 @@ def bins(self): logging.info(f"\tMCP height: {mcp_height}") logging.info(f"\tMCP width: {mcp_width}") - logging.info(f"Narrowing down the arrays to the range specified!") + logging.info("Narrowing down the arrays to the range specified!") tof_array = self.tof_array[0:max_index_to_use] x_array = self.x_array[0:max_index_to_use] y_array = self.y_array[0:max_index_to_use] # indexes with NaN - logging.info(f"Removing NaNs!") + logging.info("Removing NaNs!") index_nan = np.where(np.isnan(tof_array)) # remove those x, y and tof_nx self.tof_array_cleaned = np.delete(tof_array, index_nan) @@ -155,9 +153,9 @@ def bins(self): self.y_array_cleaned = np.delete(y_array, index_nan) # binning - logging.info(f"Binning of tof array ... started") + logging.info("Binning of tof array ... started") histo_tof, bins_tof = np.histogram(self.tof_array_cleaned, bin_value) - logging.info(f"Binning of tof array ... Done!") + logging.info("Binning of tof array ... Done!") stack_images = np.zeros((bin_value, mcp_height, mcp_width)) np.shape(stack_images) @@ -180,10 +178,8 @@ def bins(self): self.nbr_bins = bin_value def display_integrated_stack(self): - self.integrated_stack = self.stack_images.sum(axis=0) - fig, ax = plt.subplots(figsize=(7, 7), - nrows=1, ncols=1) + fig, ax = plt.subplots(figsize=(7, 7), nrows=1, ncols=1) image = ax.imshow(self.integrated_stack) self.cb = plt.colorbar(image, ax=ax) plt.show() @@ -197,27 +193,21 @@ def plot_integrated(vmin, vmax): self.cb = plt.colorbar(image, ax=ax) plt.show() - v = interactive(plot_integrated, - vmin=widgets.IntSlider(min=0, - max=max_counts, - value=0), - vmax=widgets.IntSlider(min=0, - max=max_counts, - value=max_counts), - ) + v = interactive( + plot_integrated, + vmin=widgets.IntSlider(min=0, max=max_counts, value=0), + vmax=widgets.IntSlider(min=0, max=max_counts, value=max_counts), + ) display(v) def display_slices(self): - - fig1, ax1 = plt.subplots(figsize=(7, 7), - nrows=1, ncols=1) + fig1, ax1 = plt.subplots(figsize=(7, 7), nrows=1, ncols=1) first_image = self.stack_images[0] image_id = ax1.imshow(first_image) self.cb1 = plt.colorbar(image_id, ax=ax1) plt.show() def plot_slices(index): - self.cb1.remove() plt.title(f"Slice #{index}") image_id = ax1.imshow(self.stack_images[index]) @@ -227,26 +217,25 @@ def plot_slices(index): print(np.shape(self.stack_images)) - v = interactive(plot_slices, - index=widgets.IntSlider(min=0, - max=len(self.stack_images)-1, - value=0), - ) + v = interactive( + plot_slices, + index=widgets.IntSlider(min=0, max=len(self.stack_images) - 1, value=0), + ) display(v) def define_output_filename(self): input_nexus_filename = os.path.basename(self.input_nexus_file_name) - export_id = widgets.HBox([widgets.Label("Output file name:", - layout=widgets.Layout(width="150px")), - widgets.Text(value=input_nexus_filename, - layout=widgets.Layout(width="300px")), - ]) + export_id = widgets.HBox( + [ + widgets.Label("Output file name:", layout=widgets.Layout(width="150px")), + widgets.Text(value=input_nexus_filename, layout=widgets.Layout(width="300px")), + ] + ) display(export_id) self.output_file_name_id = export_id.children[1] def select_output_location(self): - o_output_folder = FileFolderBrowser(working_dir=self.working_dir, - next_function=self.export_h5) + o_output_folder = FileFolderBrowser(working_dir=self.working_dir, next_function=self.export_h5) o_output_folder.select_output_folder(instruction="Select output folder ...") def export_h5(self, output_folder): @@ -256,19 +245,25 @@ def export_h5(self, output_folder): full_output_filename = os.path.join(output_folder, output_filename) if os.path.exists(full_output_filename): - display(HTML('File already exists! Select a different file name!')) + display( + HTML( + 'File already exists! Select a different file name!' + ) + ) return - display(HTML(f"Writing HDF5 file .... in progress")) + display(HTML("Writing HDF5 file .... in progress")) - with h5py.File(full_output_filename, mode='w') as f: - f.create_group('entry/histo') - f.create_dataset('entry/histo/stack', data=self.stack_images) - f.create_dataset('entry/histo/number_of_bins', data=self.nbr_bins) - f.create_dataset('entry/histo/tof_ns', data=self.bins_tof) - f.create_group('entry/infos') - f.create_dataset('entry/infos/input_nexus_filename', data=self.input_nexus_file_name) + with h5py.File(full_output_filename, mode="w") as f: + f.create_group("entry/histo") + f.create_dataset("entry/histo/stack", data=self.stack_images) + f.create_dataset("entry/histo/number_of_bins", data=self.nbr_bins) + f.create_dataset("entry/histo/tof_ns", data=self.bins_tof) + f.create_group("entry/infos") + f.create_dataset("entry/infos/input_nexus_filename", data=self.input_nexus_file_name) - display(HTML(f"Writing HDF5 file .... Done!")) - display(HTML('hdf5 file created:' + full_output_filename + '!')) + display(HTML("Writing HDF5 file .... Done!")) + display( + HTML('hdf5 file created:' + full_output_filename + "!") + ) logging.info(f"hdf5 file created: {full_output_filename}") diff --git a/notebooks/__code/timepix3_histo_hdf5_mcp_detector/__init__.py b/notebooks/__code/timepix3_histo_hdf5_mcp_detector/__init__.py index d799a9b4..f287be63 100755 --- a/notebooks/__code/timepix3_histo_hdf5_mcp_detector/__init__.py +++ b/notebooks/__code/timepix3_histo_hdf5_mcp_detector/__init__.py @@ -1,12 +1,10 @@ class FittingRegions: - high_lambda = "high_lambda" low_lambda = "low_lambda" bragg_peak = "bragg_peak" class DefaultFittingParameters: - a0 = 1 b0 = 1 ahkl = 1 @@ -17,7 +15,6 @@ class DefaultFittingParameters: class JSONKeys: - dSD_m = "distance source detector in m" infos = "infos" input_nexus_filename = "input nexus filename" @@ -46,5 +43,5 @@ class JSONKeys: sigma = "sigma" -LIST_ELEMENTS = ['Ni', 'Ta', 'Al'] -LIST_ELEMENTS_SUPPORTED = ['Ni', 'Al'] +LIST_ELEMENTS = ["Ni", "Ta", "Al"] +LIST_ELEMENTS_SUPPORTED = ["Ni", "Al"] diff --git a/notebooks/__code/timepix3_histo_hdf5_mcp_detector/error.py b/notebooks/__code/timepix3_histo_hdf5_mcp_detector/error.py index 1992b836..63916cc2 100755 --- a/notebooks/__code/timepix3_histo_hdf5_mcp_detector/error.py +++ b/notebooks/__code/timepix3_histo_hdf5_mcp_detector/error.py @@ -2,7 +2,6 @@ class FittingErrorException(Exception): - def __init__(self, fitting_region=FittingRegions.high_lambda, message=""): self.message = message self.fitting_region = fitting_region diff --git a/notebooks/__code/timepix3_histo_hdf5_mcp_detector/fit_regions.py b/notebooks/__code/timepix3_histo_hdf5_mcp_detector/fit_regions.py index 01f36f3b..b7eea468 100755 --- a/notebooks/__code/timepix3_histo_hdf5_mcp_detector/fit_regions.py +++ b/notebooks/__code/timepix3_histo_hdf5_mcp_detector/fit_regions.py @@ -1,9 +1,12 @@ -import numpy as np -from lmfit import Model, Parameter import copy -from qtpy import QtGui import logging +import numpy as np +from lmfit import Model, Parameter + +import __code.timepix3_histo_hdf5_mcp_detector.error as fitting_error +from __code.timepix3_histo_hdf5_mcp_detector import FittingRegions + # from ibeatles.utilities.status_message_config import StatusMessageStatus, show_status_message # import ibeatles.utilities.error as fitting_error # from ibeatles.fitting.kropff.get import Get @@ -11,23 +14,30 @@ # from ibeatles.utilities.array_utilities import find_nearest_index # from ibeatles.fitting.kropff.checking_fitting_conditions import CheckingFittingConditions # from ibeatles.fitting.kropff import ERROR_TOLERANCE - -from __code.timepix3_histo_hdf5_mcp_detector.fitting_functions import kropff_high_lambda, kropff_low_lambda, \ - kropff_bragg_peak_tof -import __code.timepix3_histo_hdf5_mcp_detector.error as fitting_error -from __code.timepix3_histo_hdf5_mcp_detector import FittingRegions +from __code.timepix3_histo_hdf5_mcp_detector.fitting_functions import ( + kropff_bragg_peak_tof, + kropff_high_lambda, + kropff_low_lambda, +) class FitRegions: - - def __init__(self, a0=None, b0=None, - ahkl=None, bhkl=None, - lambdahkl=None, tau=None, sigma=None, - x_axis_to_fit=None, y_axis_to_fit=None, - left_peak_index=0, - right_peak_index=0, - left_edge_index=0, - right_edge_index=0): + def __init__( + self, + a0=None, + b0=None, + ahkl=None, + bhkl=None, + lambdahkl=None, + tau=None, + sigma=None, + x_axis_to_fit=None, + y_axis_to_fit=None, + left_peak_index=0, + right_peak_index=0, + left_edge_index=0, + right_edge_index=0, + ): self.a0 = a0 self.b0 = b0 self.ahkl = ahkl @@ -40,24 +50,18 @@ def __init__(self, a0=None, b0=None, self.left_edge_index = left_edge_index self.right_edge_index = right_edge_index - self.fit_dict = {'a0': {'value': None, - 'error': None}, - 'b0': {'value': None, - 'error': None}, - 'ahkl': {'value': None, - 'error': None}, - 'bhkl': {'value': None, - 'error': None}, - 'lambdahkl': {'value': None, - 'error': None}, - 'tau': {'value': None, - 'error': None}, - 'sigma': {'value': None, - 'error': None}, - FittingRegions.high_lambda: None, - FittingRegions.low_lambda: None, - FittingRegions.bragg_peak: None, - } + self.fit_dict = { + "a0": {"value": None, "error": None}, + "b0": {"value": None, "error": None}, + "ahkl": {"value": None, "error": None}, + "bhkl": {"value": None, "error": None}, + "lambdahkl": {"value": None, "error": None}, + "tau": {"value": None, "error": None}, + "sigma": {"value": None, "error": None}, + FittingRegions.high_lambda: None, + FittingRegions.low_lambda: None, + FittingRegions.bragg_peak: None, + } self.x_axis_to_fit = x_axis_to_fit self.y_axis_to_fit = y_axis_to_fit @@ -100,8 +104,8 @@ def all_regions(self): # return False def high_lambda(self): - logging.info(f"fitting high lambda:") - gmodel = Model(kropff_high_lambda, missing='drop', independent_vars=['lda']) + logging.info("fitting high lambda:") + gmodel = Model(kropff_high_lambda, missing="drop", independent_vars=["lda"]) a0 = self.a0 b0 = self.b0 @@ -109,8 +113,8 @@ def high_lambda(self): right_edge_index = self.right_edge_index right_peak_index = self.right_peak_index - xaxis = copy.deepcopy(self.x_axis_to_fit)[right_edge_index: right_peak_index] - yaxis = copy.deepcopy(self.y_axis_to_fit)[right_edge_index: right_peak_index] + xaxis = copy.deepcopy(self.x_axis_to_fit)[right_edge_index:right_peak_index] + yaxis = copy.deepcopy(self.y_axis_to_fit)[right_edge_index:right_peak_index] yaxis = -np.log(yaxis) logging.info(f"{xaxis =}") @@ -122,10 +126,10 @@ def high_lambda(self): except TypeError: raise TypeError("high lambda fitting failed!") - a0_value = _result.params['a0'].value - a0_error = _result.params['a0'].stderr - b0_value = _result.params['b0'].value - b0_error = _result.params['b0'].stderr + a0_value = _result.params["a0"].value + a0_error = _result.params["a0"].stderr + b0_value = _result.params["b0"].value + b0_error = _result.params["b0"].stderr logging.info(f"\t{a0_value =}") logging.info(f"\t{a0_error =}") @@ -134,16 +138,13 @@ def high_lambda(self): yaxis_fitted = kropff_high_lambda(xaxis, a0_value, b0_value) - self.fit_dict['a0'] = {'value': a0_value, - 'error': a0_error} - self.fit_dict['b0'] = {'value': b0_value, - 'error': b0_error} - self.fit_dict[FittingRegions.high_lambda] = {'xaxis': xaxis, - 'yaxis': yaxis_fitted} + self.fit_dict["a0"] = {"value": a0_value, "error": a0_error} + self.fit_dict["b0"] = {"value": b0_value, "error": b0_error} + self.fit_dict[FittingRegions.high_lambda] = {"xaxis": xaxis, "yaxis": yaxis_fitted} def low_lambda(self): - logging.info(f"fitting low lambda:") - gmodel = Model(kropff_low_lambda, missing='drop', independent_vars=['lda']) + logging.info("fitting low lambda:") + gmodel = Model(kropff_low_lambda, missing="drop", independent_vars=["lda"]) ahkl = self.ahkl bhkl = self.bhkl @@ -151,43 +152,41 @@ def low_lambda(self): left_edge_index = self.left_edge_index left_peak_index = self.left_peak_index - xaxis = copy.deepcopy(self.x_axis_to_fit)[left_peak_index: left_edge_index] - yaxis = copy.deepcopy(self.y_axis_to_fit)[left_peak_index: left_edge_index] + xaxis = copy.deepcopy(self.x_axis_to_fit)[left_peak_index:left_edge_index] + yaxis = copy.deepcopy(self.y_axis_to_fit)[left_peak_index:left_edge_index] yaxis = -np.log(yaxis) logging.info(f"{xaxis =}") try: - _result = gmodel.fit(yaxis, - lda=xaxis, - a0=Parameter('a0', value=self.fit_dict['a0']['value'], vary=False), - b0=Parameter('b0', value=self.fit_dict['b0']['value'], vary=False), - ahkl=ahkl, - bhkl=bhkl) + _result = gmodel.fit( + yaxis, + lda=xaxis, + a0=Parameter("a0", value=self.fit_dict["a0"]["value"], vary=False), + b0=Parameter("b0", value=self.fit_dict["b0"]["value"], vary=False), + ahkl=ahkl, + bhkl=bhkl, + ) except ValueError: raise ValueError("low lambda fitting failed!") - ahkl_value = _result.params['ahkl'].value - ahkl_error = _result.params['ahkl'].stderr - bhkl_value = _result.params['bhkl'].value - bhkl_error = _result.params['bhkl'].stderr + ahkl_value = _result.params["ahkl"].value + ahkl_error = _result.params["ahkl"].stderr + bhkl_value = _result.params["bhkl"].value + bhkl_error = _result.params["bhkl"].stderr logging.info(f"\t{ahkl_value =}") logging.info(f"\t{ahkl_error =}") logging.info(f"\t{bhkl_value =}") logging.info(f"\t{bhkl_error =}") - yaxis_fitted = kropff_low_lambda(xaxis, - self.fit_dict['a0']['value'], - self.fit_dict['b0']['value'], - ahkl_value, bhkl_value) + yaxis_fitted = kropff_low_lambda( + xaxis, self.fit_dict["a0"]["value"], self.fit_dict["b0"]["value"], ahkl_value, bhkl_value + ) - self.fit_dict['ahkl'] = {'value': ahkl_value, - 'error': ahkl_error} - self.fit_dict['bhkl'] = {'value': bhkl_value, - 'error': bhkl_error} - self.fit_dict[FittingRegions.low_lambda] = {'xaxis': xaxis, - 'yaxis': yaxis_fitted} + self.fit_dict["ahkl"] = {"value": ahkl_value, "error": ahkl_error} + self.fit_dict["bhkl"] = {"value": bhkl_value, "error": bhkl_error} + self.fit_dict[FittingRegions.low_lambda] = {"xaxis": xaxis, "yaxis": yaxis_fitted} def bragg_peak(self): self.bragg_peak_fix_lambda() @@ -286,7 +285,7 @@ def bragg_peak(self): def bragg_peak_fix_lambda(self): logging.info("Fitting bragg peak with a fixed initial lambda_hkl:") - gmodel = Model(kropff_bragg_peak_tof, nan_policy='propagate', independent_vars=['lda']) + gmodel = Model(kropff_bragg_peak_tof, nan_policy="propagate", independent_vars=["lda"]) lambda_hkl = self.lambdahkl tau = self.tau @@ -295,33 +294,35 @@ def bragg_peak_fix_lambda(self): left_peak_index = self.left_edge_index right_peak_index = self.right_edge_index - xaxis = copy.deepcopy(self.x_axis_to_fit)[left_peak_index: right_peak_index+1] - yaxis = copy.deepcopy(self.y_axis_to_fit)[left_peak_index: right_peak_index+1] + xaxis = copy.deepcopy(self.x_axis_to_fit)[left_peak_index : right_peak_index + 1] + yaxis = copy.deepcopy(self.y_axis_to_fit)[left_peak_index : right_peak_index + 1] yaxis = -np.log(yaxis) logging.info(f"{xaxis =}") - a0 = self.fit_dict['a0']['value'] - b0 = self.fit_dict['b0']['value'] - ahkl = self.fit_dict['ahkl']['value'] - bhkl = self.fit_dict['bhkl']['value'] - - _result = gmodel.fit(yaxis, - lda=xaxis, - a0=Parameter('a0', value=a0, vary=False), - b0=Parameter('b0', value=b0, vary=False), - ahkl=Parameter('ahkl', value=ahkl, vary=False), - bhkl=Parameter('bhkl', value=bhkl, vary=False), - ldahkl=lambda_hkl, - sigma=sigma, - tau=tau) - - ldahkl_value = _result.params['ldahkl'].value - ldahkl_error = _result.params['ldahkl'].stderr - sigma_value = _result.params['sigma'].value - sigma_error = _result.params['sigma'].stderr - tau_value = _result.params['tau'].value - tau_error = _result.params['tau'].stderr + a0 = self.fit_dict["a0"]["value"] + b0 = self.fit_dict["b0"]["value"] + ahkl = self.fit_dict["ahkl"]["value"] + bhkl = self.fit_dict["bhkl"]["value"] + + _result = gmodel.fit( + yaxis, + lda=xaxis, + a0=Parameter("a0", value=a0, vary=False), + b0=Parameter("b0", value=b0, vary=False), + ahkl=Parameter("ahkl", value=ahkl, vary=False), + bhkl=Parameter("bhkl", value=bhkl, vary=False), + ldahkl=lambda_hkl, + sigma=sigma, + tau=tau, + ) + + ldahkl_value = _result.params["ldahkl"].value + ldahkl_error = _result.params["ldahkl"].stderr + sigma_value = _result.params["sigma"].value + sigma_error = _result.params["sigma"].stderr + tau_value = _result.params["tau"].value + tau_error = _result.params["tau"].stderr logging.info(f"\t{ldahkl_value =}") logging.info(f"\t{ldahkl_error =}") @@ -332,11 +333,7 @@ def bragg_peak_fix_lambda(self): yaxis_fitted = kropff_bragg_peak_tof(xaxis, a0, b0, ahkl, bhkl, ldahkl_value, sigma_value, tau_value) - self.fit_dict['lambdahkl'] = {'value': ldahkl_value, - 'error': ldahkl_error} - self.fit_dict['sigma'] = {'value': sigma_value, - 'error': sigma_error} - self.fit_dict['tau'] = {'value': tau_value, - 'error': tau_error} - self.fit_dict[FittingRegions.bragg_peak] = {'xaxis': xaxis, - 'yaxis': yaxis_fitted} + self.fit_dict["lambdahkl"] = {"value": ldahkl_value, "error": ldahkl_error} + self.fit_dict["sigma"] = {"value": sigma_value, "error": sigma_error} + self.fit_dict["tau"] = {"value": tau_value, "error": tau_error} + self.fit_dict[FittingRegions.bragg_peak] = {"xaxis": xaxis, "yaxis": yaxis_fitted} diff --git a/notebooks/__code/timepix3_histo_hdf5_mcp_detector/fitting_functions.py b/notebooks/__code/timepix3_histo_hdf5_mcp_detector/fitting_functions.py index 8c81f9cc..1ba83d7f 100755 --- a/notebooks/__code/timepix3_histo_hdf5_mcp_detector/fitting_functions.py +++ b/notebooks/__code/timepix3_histo_hdf5_mcp_detector/fitting_functions.py @@ -10,7 +10,7 @@ def kropff_high_lambda(lda, a0, b0): a0 parameter to fit b0 parameter to fit """ - if (a0 == np.NaN) or (b0 == np.NaN): + if (a0 == np.nan) or (b0 == np.nan): return None exp_expression = np.exp(-(a0 + b0 * lda)) return exp_expression @@ -26,7 +26,7 @@ def kropff_low_lambda(lda, a0, b0, ahkl, bhkl): ahkl parameter to fit bhkl parameter to fit """ - if (a0 == np.NaN) or (b0 == np.NaN) or (ahkl == np.NaN) or (bhkl == np.NaN): + if (a0 == np.nan) or (b0 == np.nan) or (ahkl == np.nan) or (bhkl == np.nan): return None exp_expression_1 = np.exp(-(a0 + b0 * lda)) exp_expression_2 = np.exp(-(ahkl + bhkl * lda)) @@ -59,7 +59,7 @@ def B(ldahkl, sigma, tau, lda): exp_expression_1 = np.exp(-(a0 + b0 * lda)) exp_expression_2 = np.exp(-(ahkl + bhkl * lda)) - final_part1 = (B(ldahkl, sigma, tau, lda) * exp_expression_1) + final_part1 = B(ldahkl, sigma, tau, lda) * exp_expression_1 final_part2 = (1 - B(ldahkl, sigma, tau, lda)) * exp_expression_1 * exp_expression_2 return final_part1 + final_part2 diff --git a/notebooks/__code/timepix3_histo_hdf5_mcp_detector/timepix3_histo_hdf5_mcp_detector.py b/notebooks/__code/timepix3_histo_hdf5_mcp_detector/timepix3_histo_hdf5_mcp_detector.py index 8d7c6df1..e53c6423 100755 --- a/notebooks/__code/timepix3_histo_hdf5_mcp_detector/timepix3_histo_hdf5_mcp_detector.py +++ b/notebooks/__code/timepix3_histo_hdf5_mcp_detector/timepix3_histo_hdf5_mcp_detector.py @@ -1,38 +1,39 @@ +import json import logging import os + import h5py -import numpy as np -import matplotlib.pyplot as plt +import ipywidgets as widgets import matplotlib.patches as patches +import matplotlib.pyplot as plt +import numpy as np +from IPython.display import HTML, display from ipywidgets import interactive -import ipywidgets as widgets -from IPython.display import display, HTML -import json - -from __code.advanced_roi_selection_ui.advanced_roi_selection_ui import Interface - -from neutronbraggedge.experiment_handler import * from neutronbraggedge.braggedge import BraggEdge as BraggEdgeLibrary +from neutronbraggedge.experiment_handler import * -from __code._utilities.file import get_full_home_file_name -from __code._utilities import LAMBDA, MICRO, ANGSTROMS +from __code._utilities import ANGSTROMS, LAMBDA, MICRO +from __code._utilities.array import find_nearest_index from __code._utilities.color import Color +from __code._utilities.file import get_full_home_file_name from __code._utilities.time import get_current_time_in_special_file_name_format +from __code.advanced_roi_selection_ui.advanced_roi_selection_ui import Interface +from __code.file_folder_browser import FileFolderBrowser from __code.ipywe import fileselector +from __code.timepix3_histo_hdf5_mcp_detector import ( + LIST_ELEMENTS, + LIST_ELEMENTS_SUPPORTED, + DefaultFittingParameters, + FittingRegions, + JSONKeys, +) from __code.timepix3_histo_hdf5_mcp_detector.fit_regions import FitRegions -from __code._utilities.array import find_nearest_index -from __code.timepix3_histo_hdf5_mcp_detector import FittingRegions -from __code.timepix3_histo_hdf5_mcp_detector import DefaultFittingParameters -from __code.timepix3_histo_hdf5_mcp_detector import JSONKeys -from __code.timepix3_histo_hdf5_mcp_detector import LIST_ELEMENTS, LIST_ELEMENTS_SUPPORTED -from __code.file_folder_browser import FileFolderBrowser LOG_FILE_NAME = ".timepix3_histo_hdf5_mcp_detector.log" MAX_TIME_PER_PULSE = 1.667e4 class Timepix3HistoHdf5McpDetector: - # histogram data histo_data = None @@ -46,26 +47,26 @@ class Timepix3HistoHdf5McpDetector: # } rois_selected = None - default_parameters = {JSONKeys.dSD_m: 19.855, - JSONKeys.rois_selected: {0: {JSONKeys.x0: 467, - JSONKeys.y0: 99, - JSONKeys.x1: 975, - JSONKeys.y1: 429}}, - JSONKeys.offset_micros: 0, - JSONKeys.time_shift: 0, - JSONKeys.element: 'Ni', - JSONKeys.left_range: 0.8, - JSONKeys.right_range: 1.9, - JSONKeys.left_edge: 1.2, - JSONKeys.right_edge: 1.4, - JSONKeys.fitting_parameters: {JSONKeys.a0: DefaultFittingParameters.a0, - JSONKeys.b0: DefaultFittingParameters.b0, - JSONKeys.ahkl: DefaultFittingParameters.ahkl, - JSONKeys.bhkl: DefaultFittingParameters.bhkl, - JSONKeys.lambdahkl: DefaultFittingParameters.lambdahkl, - JSONKeys.tau: DefaultFittingParameters.tau, - JSONKeys.sigma: DefaultFittingParameters.sigma} - } + default_parameters = { + JSONKeys.dSD_m: 19.855, + JSONKeys.rois_selected: {0: {JSONKeys.x0: 467, JSONKeys.y0: 99, JSONKeys.x1: 975, JSONKeys.y1: 429}}, + JSONKeys.offset_micros: 0, + JSONKeys.time_shift: 0, + JSONKeys.element: "Ni", + JSONKeys.left_range: 0.8, + JSONKeys.right_range: 1.9, + JSONKeys.left_edge: 1.2, + JSONKeys.right_edge: 1.4, + JSONKeys.fitting_parameters: { + JSONKeys.a0: DefaultFittingParameters.a0, + JSONKeys.b0: DefaultFittingParameters.b0, + JSONKeys.ahkl: DefaultFittingParameters.ahkl, + JSONKeys.bhkl: DefaultFittingParameters.bhkl, + JSONKeys.lambdahkl: DefaultFittingParameters.lambdahkl, + JSONKeys.tau: DefaultFittingParameters.tau, + JSONKeys.sigma: DefaultFittingParameters.sigma, + }, + } # dict of fitting result # {'a0': {'value': None, 'error': None}, @@ -85,24 +86,24 @@ def __init__(self, working_dir=None): self.working_dir = working_dir self.log_file_name = get_full_home_file_name(LOG_FILE_NAME) - logging.basicConfig(filename=self.log_file_name, - filemode='w', - format='[%(levelname)s] - %(asctime)s - %(message)s', - level=logging.INFO) + logging.basicConfig( + filename=self.log_file_name, + filemode="w", + format="[%(levelname)s] - %(asctime)s - %(message)s", + level=logging.INFO, + ) logging.info("*** Starting a new session ***") def hdf5_or_config_file_input(self): self.toggle_button = widgets.ToggleButtons( - options=['HDF5 MCP', 'Config File'], + options=["HDF5 MCP", "Config File"], description="", - button_style='', - tooltips=['Select HDF5 MCP Histo File', 'Select Config File'], + button_style="", + tooltips=["Select HDF5 MCP Histo File", "Select Config File"], ) display(self.toggle_button) - validate_button = widgets.Button(description="SELECT", - icon="folder-open", - layout=widgets.Layout(width="310px")) + validate_button = widgets.Button(description="SELECT", icon="folder-open", layout=widgets.Layout(width="310px")) display(validate_button) validate_button.on_click(self.input_selection_made) @@ -114,19 +115,23 @@ def input_selection_made(self, _): self.select_config() def select_nexus(self): - self.nexus_ui = fileselector.FileSelectorPanel(instruction='Select Histo HDF5 file ...', - start_dir=self.working_dir, - next=self.load_nexus, - filters={'NeXus': ".h5"}, - multiple=False) + self.nexus_ui = fileselector.FileSelectorPanel( + instruction="Select Histo HDF5 file ...", + start_dir=self.working_dir, + next=self.load_nexus, + filters={"NeXus": ".h5"}, + multiple=False, + ) self.nexus_ui.show() def select_config(self): - self.config_ui = fileselector.FileSelectorPanel(instruction='Select Config file ...', - start_dir=self.working_dir, - next=self.load_config, - filters={'Config': ".cfg"}, - multiple=False) + self.config_ui = fileselector.FileSelectorPanel( + instruction="Select Config file ...", + start_dir=self.working_dir, + next=self.load_config, + filters={"Config": ".cfg"}, + multiple=False, + ) self.config_ui.show() def load_config(self, config_file_name): @@ -175,8 +180,13 @@ def load_config(self, config_file_name): self.default_parameters[JSONKeys.fitting_parameters][JSONKeys.tau] = float(tau) self.default_parameters[JSONKeys.fitting_parameters][JSONKeys.sigma] = float(sigma) - display(HTML('Config file loaded: ' + - config_file_name + '')) + display( + HTML( + 'Config file loaded: ' + + config_file_name + + "" + ) + ) def load_nexus(self, nexus_file_name=None): logging.info(f"Loading HDF5: {nexus_file_name}") @@ -185,14 +195,13 @@ def load_nexus(self, nexus_file_name=None): # updating the working folder self.working_dir = os.path.dirname(nexus_file_name) - with h5py.File(nexus_file_name, 'r') as f: - self.stack = np.array(f['entry']['histo']['stack']) - self.time_spectra = np.array(f['entry']['histo']['tof_ns']) / 1000 # to convert to micros + with h5py.File(nexus_file_name, "r") as f: + self.stack = np.array(f["entry"]["histo"]["stack"]) + self.time_spectra = np.array(f["entry"]["histo"]["tof_ns"]) / 1000 # to convert to micros def preview_integrated_stack(self): self.integrated_stack = self.stack.sum(axis=0) - fig, ax = plt.subplots(figsize=(7, 7), - nrows=1, ncols=1) + fig, ax = plt.subplots(figsize=(7, 7), nrows=1, ncols=1) image = ax.imshow(self.integrated_stack) self.cb = plt.colorbar(image, ax=ax) plt.show() @@ -206,24 +215,23 @@ def plot_integrated(vmin, vmax): self.cb = plt.colorbar(image, ax=ax) plt.show() - v = interactive(plot_integrated, - vmin=widgets.IntSlider(min=0, - max=max_counts, - value=0), - vmax=widgets.IntSlider(min=0, - max=max_counts, - value=max_counts), - ) + v = interactive( + plot_integrated, + vmin=widgets.IntSlider(min=0, max=max_counts, value=0), + vmax=widgets.IntSlider(min=0, max=max_counts, value=max_counts), + ) display(v) def select_roi(self): # use the integrated image and ROI tool to select # ROIs - o_gui = Interface(array2d=self.integrated_stack, - callback=self.returning_from_roi_selection, - display_info_message=False, - mandatory_regions=True, - list_roi={0: {'x0': 467, 'y0': 99, 'x1': 975, 'y1': 429}}) + o_gui = Interface( + array2d=self.integrated_stack, + callback=self.returning_from_roi_selection, + display_info_message=False, + mandatory_regions=True, + list_roi={0: {"x0": 467, "y0": 99, "x1": 975, "y1": 429}}, + ) o_gui.show() # QtGui.QGuiApplication.processEvents() @@ -242,43 +250,37 @@ def calculate_and_display_profile(self): total_pixels_in_rois = 0 rect_array = [] for _roi_index in rois_selected.keys(): - x0 = rois_selected[_roi_index]['x0'] - y0 = rois_selected[_roi_index]['y0'] - x1 = rois_selected[_roi_index]['x1'] - y1 = rois_selected[_roi_index]['y1'] + x0 = rois_selected[_roi_index]["x0"] + y0 = rois_selected[_roi_index]["y0"] + x1 = rois_selected[_roi_index]["x1"] + y1 = rois_selected[_roi_index]["y1"] - width = np.abs(x1-x0) - height = np.abs(y1-y0) + width = np.abs(x1 - x0) + height = np.abs(y1 - y0) total_pixels_in_rois += width * height - _rect = patches.Rectangle((x0, y0), - x1-x0, - y1-y0, - linewidth=1, - edgecolor=list_matplotlib_colors[_roi_index], - facecolor='none') + _rect = patches.Rectangle( + (x0, y0), x1 - x0, y1 - y0, linewidth=1, edgecolor=list_matplotlib_colors[_roi_index], facecolor="none" + ) rect_array.append(_rect) profile = [] for _index_image, _image in enumerate(self.stack): - total_counts_for_this_image = 0 for _roi_index in rois_selected.keys(): - x0 = rois_selected[_roi_index]['x0'] - y0 = rois_selected[_roi_index]['y0'] - x1 = rois_selected[_roi_index]['x1'] - y1 = rois_selected[_roi_index]['y1'] + x0 = rois_selected[_roi_index]["x0"] + y0 = rois_selected[_roi_index]["y0"] + x1 = rois_selected[_roi_index]["x1"] + y1 = rois_selected[_roi_index]["y1"] - total_counts_for_this_image += np.nansum(_image[y0:y1+1, x0:x1+1]) + total_counts_for_this_image += np.nansum(_image[y0 : y1 + 1, x0 : x1 + 1]) profile.append(total_counts_for_this_image / total_pixels_in_rois) - self.profile = profile + self.profile = profile max_counts = np.max(profile) - fig1, ax1 = plt.subplots(figsize=(8, 8), - nrows=1, - ncols=1) + fig1, ax1 = plt.subplots(figsize=(8, 8), nrows=1, ncols=1) preview = ax1.imshow(self.integrated_stack) cb = plt.colorbar(preview, ax=ax1) @@ -287,20 +289,16 @@ def calculate_and_display_profile(self): for _patch in rect_array: ax1.add_patch(_patch) - fig2, ax2 = plt.subplots(figsize=(8, 8), - nrows=1, - ncols=1) + fig2, ax2 = plt.subplots(figsize=(8, 8), nrows=1, ncols=1) def plot_profile(x_axis, dSD_m, offset_micros, time_shift, element): - if element in LIST_ELEMENTS_SUPPORTED: - _handler = BraggEdgeLibrary(material=[element], - number_of_bragg_edges=6) + _handler = BraggEdgeLibrary(material=[element], number_of_bragg_edges=6) else: # Ta - _handler = BraggEdgeLibrary(new_material=[{'name': 'Ta', - 'lattice': 3.3058, - 'crystal_structure': 'BCC'}], - number_of_bragg_edges=6) + _handler = BraggEdgeLibrary( + new_material=[{"name": "Ta", "lattice": 3.3058, "crystal_structure": "BCC"}], + number_of_bragg_edges=6, + ) self.bragg_edges = _handler.bragg_edges self.hkl = _handler.hkl @@ -310,13 +308,15 @@ def plot_profile(x_axis, dSD_m, offset_micros, time_shift, element): tof_array = self.time_spectra[:-1] condition = np.array(tof_array) < time_shift - if x_axis == 'TOF': + if x_axis == "TOF": x_axis_array = tof_array xlabel = "TOF offset (" + MICRO + "s)" else: - _exp = Experiment(tof=tof_array * 1e-6, # to convert to seconds - distance_source_detector_m=dSD_m, - detector_offset_micros=offset_micros) + _exp = Experiment( + tof=tof_array * 1e-6, # to convert to seconds + distance_source_detector_m=dSD_m, + detector_offset_micros=offset_micros, + ) lambda_array = _exp.lambda_array[:] * 1e10 # to be in Angstroms x_axis_array = lambda_array xlabel = LAMBDA + "(" + ANGSTROMS + ")" @@ -325,13 +325,11 @@ def plot_profile(x_axis, dSD_m, offset_micros, time_shift, element): _profile = np.array(profile) _profile_shifted = np.hstack((_profile[~condition], _profile[condition])) - ax2.plot(x_axis_array, _profile_shifted, - color=list_matplotlib_colors[0]) + ax2.plot(x_axis_array, _profile_shifted, color=list_matplotlib_colors[0]) ax2.set_ylabel("Mean counts of ROI") ax2.set_xlabel(xlabel) - if x_axis == 'lambda': - + if x_axis == "lambda": logging.info(f"for Ni: {self.hkl[element] =}") for _index, _x in enumerate(self.bragg_edges[element]): _hkl_array = self.hkl[element][_index] @@ -339,42 +337,51 @@ def plot_profile(x_axis, dSD_m, offset_micros, time_shift, element): _hkl = ",".join(_str_hkl_array) # to display _x in the right axis - ax2.axvline(x=_x, color='r', linestyle='--') - - ax2.text(_x, (max_counts - max_counts / 7), - _hkl, - ha="center", - rotation=45, - size=15, - ) - - self.v = interactive(plot_profile, - x_axis=widgets.RadioButtons(options=['TOF', 'lambda'], - value='lambda', - ), - dSD_m=widgets.FloatSlider(value=self.default_parameters[JSONKeys.dSD_m], - min=15, - max=25, - step=0.001, - continuous_update=False, - readout_format=".3f"), - offset_micros=widgets.IntSlider(value=self.default_parameters[JSONKeys.offset_micros], - min=0, - max=15000, - continuous_update=False), - time_shift=widgets.IntSlider(value=self.default_parameters[JSONKeys.time_shift], - min=0, - max=MAX_TIME_PER_PULSE, - step=1, - continuous_update=False), - element=widgets.RadioButtons(options=LIST_ELEMENTS, - value=self.default_parameters[JSONKeys.element]), - ) + ax2.axvline(x=_x, color="r", linestyle="--") + + ax2.text( + _x, + (max_counts - max_counts / 7), + _hkl, + ha="center", + rotation=45, + size=15, + ) + + self.v = interactive( + plot_profile, + x_axis=widgets.RadioButtons( + options=["TOF", "lambda"], + value="lambda", + ), + dSD_m=widgets.FloatSlider( + value=self.default_parameters[JSONKeys.dSD_m], + min=15, + max=25, + step=0.001, + continuous_update=False, + readout_format=".3f", + ), + offset_micros=widgets.IntSlider( + value=self.default_parameters[JSONKeys.offset_micros], min=0, max=15000, continuous_update=False + ), + time_shift=widgets.IntSlider( + value=self.default_parameters[JSONKeys.time_shift], + min=0, + max=MAX_TIME_PER_PULSE, + step=1, + continuous_update=False, + ), + element=widgets.RadioButtons(options=LIST_ELEMENTS, value=self.default_parameters[JSONKeys.element]), + ) display(self.v) def select_peak_to_fit(self): - - display(HTML('Full range of peak to fit (left_range, right_range)')) + display( + HTML( + 'Full range of peak to fit (left_range, right_range)' + ) + ) display(HTML('Peak threshold (left_peak, right_peak)')) lambda_x_axis, profile_shifted = self.prepare_data() @@ -382,52 +389,58 @@ def select_peak_to_fit(self): self.profile_shifted = profile_shifted list_matplotlib_colors = Color.list_matplotlib - fig3, ax3 = plt.subplots(figsize=(8, 8), - nrows=1, - ncols=1) + fig3, ax3 = plt.subplots(figsize=(8, 8), nrows=1, ncols=1) def plot_peaks(left_range, right_range, left_edge, right_edge): - ax3.cla() _profile = np.array(self.profile_shifted) - ax3.plot(lambda_x_axis, _profile, - color=list_matplotlib_colors[0]) + ax3.plot(lambda_x_axis, _profile, color=list_matplotlib_colors[0]) ax3.set_ylabel("Mean counts of ROI") ax3.set_xlabel(LAMBDA + "(" + ANGSTROMS + ")") # display range - ax3.axvline(x=left_range, color='g') - ax3.axvline(x=right_range, color='g') + ax3.axvline(x=left_range, color="g") + ax3.axvline(x=right_range, color="g") # display range of edge - ax3.axvline(x=left_edge, color='r') - ax3.axvline(x=right_edge, color='r') - - self.peak_to_fit = interactive(plot_peaks, - left_range=widgets.FloatSlider(min=np.min(lambda_x_axis), - max=np.max(lambda_x_axis), - step=0.001, - # value=np.min(lambda_x_axis), - value=self.default_parameters[JSONKeys.left_range], - readout_format=".3f"), - right_range=widgets.FloatSlider(min=np.min(lambda_x_axis), - max=np.max(lambda_x_axis), - step=0.001, - # value=np.max(lambda_x_axis), - value=self.default_parameters[JSONKeys.right_range], - readout_format=".3f"), - left_edge=widgets.FloatSlider(min=np.min(lambda_x_axis), - max=np.max(lambda_x_axis), - step=0.001, - value=self.default_parameters[JSONKeys.left_edge], - readout_format=".3f"), - right_edge=widgets.FloatSlider(min=np.min(lambda_x_axis), - max=np.max(lambda_x_axis), - step=0.001, - value=self.default_parameters[JSONKeys.right_edge], - readout_format=".3f")) + ax3.axvline(x=left_edge, color="r") + ax3.axvline(x=right_edge, color="r") + + self.peak_to_fit = interactive( + plot_peaks, + left_range=widgets.FloatSlider( + min=np.min(lambda_x_axis), + max=np.max(lambda_x_axis), + step=0.001, + # value=np.min(lambda_x_axis), + value=self.default_parameters[JSONKeys.left_range], + readout_format=".3f", + ), + right_range=widgets.FloatSlider( + min=np.min(lambda_x_axis), + max=np.max(lambda_x_axis), + step=0.001, + # value=np.max(lambda_x_axis), + value=self.default_parameters[JSONKeys.right_range], + readout_format=".3f", + ), + left_edge=widgets.FloatSlider( + min=np.min(lambda_x_axis), + max=np.max(lambda_x_axis), + step=0.001, + value=self.default_parameters[JSONKeys.left_edge], + readout_format=".3f", + ), + right_edge=widgets.FloatSlider( + min=np.min(lambda_x_axis), + max=np.max(lambda_x_axis), + step=0.001, + value=self.default_parameters[JSONKeys.right_edge], + readout_format=".3f", + ), + ) display(self.peak_to_fit) def prepare_data(self): @@ -446,9 +459,11 @@ def prepare_data(self): tof_array = self.time_spectra[:-1] condition = np.array(tof_array) < time_shift - _exp = Experiment(tof=tof_array * 1e-6, # to convert to seconds - distance_source_detector_m=dSD_m, - detector_offset_micros=offset_micros) + _exp = Experiment( + tof=tof_array * 1e-6, # to convert to seconds + distance_source_detector_m=dSD_m, + detector_offset_micros=offset_micros, + ) lambda_array = _exp.lambda_array[:] * 1e10 # to be in Angstroms profile = np.array(profile) @@ -460,70 +475,70 @@ def prepare_data(self): return lambda_array, profile_shifted def fitting(self): - # setup parameters display(HTML('Init parameters')) - text_width = '80px' # px + text_width = "80px" # px display(HTML('High lambda')) default_a0 = self.default_parameters[JSONKeys.fitting_parameters][JSONKeys.a0] - self.a0_layout = widgets.HBox([widgets.Label(u"a\u2080"), - widgets.IntText(default_a0, - layout=widgets.Layout(width=text_width))]) + self.a0_layout = widgets.HBox( + [widgets.Label("a\u2080"), widgets.IntText(default_a0, layout=widgets.Layout(width=text_width))] + ) default_b0 = self.default_parameters[JSONKeys.fitting_parameters][JSONKeys.b0] - self.b0_layout = widgets.HBox([widgets.Label(u"b\u2080"), - widgets.IntText(default_b0, - layout=widgets.Layout(width=text_width))]) - high_layout = widgets.VBox([self.a0_layout, - self.b0_layout]) + self.b0_layout = widgets.HBox( + [widgets.Label("b\u2080"), widgets.IntText(default_b0, layout=widgets.Layout(width=text_width))] + ) + high_layout = widgets.VBox([self.a0_layout, self.b0_layout]) display(high_layout) - display(HTML('')) + display(HTML("")) display(HTML('Low lambda')) default_ahkl = self.default_parameters[JSONKeys.fitting_parameters][JSONKeys.ahkl] - self.ahkl_layout = widgets.HBox([widgets.Label(u"a\u2095\u2096\u2097"), - widgets.IntText(default_ahkl, - layout=widgets.Layout(width=text_width))]) + self.ahkl_layout = widgets.HBox( + [ + widgets.Label("a\u2095\u2096\u2097"), + widgets.IntText(default_ahkl, layout=widgets.Layout(width=text_width)), + ] + ) default_bhkl = self.default_parameters[JSONKeys.fitting_parameters][JSONKeys.bhkl] - self.bhkl_layout = widgets.HBox([widgets.Label(u"b\u2095\u2096\u2097"), - widgets.IntText(default_bhkl, - layout=widgets.Layout(width=text_width))]) - low_layout = widgets.VBox([self.ahkl_layout, - self.bhkl_layout]) + self.bhkl_layout = widgets.HBox( + [ + widgets.Label("b\u2095\u2096\u2097"), + widgets.IntText(default_bhkl, layout=widgets.Layout(width=text_width)), + ] + ) + low_layout = widgets.VBox([self.ahkl_layout, self.bhkl_layout]) display(low_layout) - display(HTML('')) + display(HTML("")) display(HTML('Bragg peak')) default_lambdahkl = self.default_parameters[JSONKeys.fitting_parameters][JSONKeys.lambdahkl] - self.lambdahkl_layout = widgets.HBox([widgets.Label(u"\u03bb\u2095\u2096\u2097"), - widgets.FloatText(default_lambdahkl, - layout=widgets.Layout(width=text_width))]) + self.lambdahkl_layout = widgets.HBox( + [ + widgets.Label("\u03bb\u2095\u2096\u2097"), + widgets.FloatText(default_lambdahkl, layout=widgets.Layout(width=text_width)), + ] + ) default_tau = self.default_parameters[JSONKeys.fitting_parameters][JSONKeys.tau] - self.tau_layout = widgets.HBox([widgets.Label(u"\u03C4"), - widgets.FloatText(default_tau, - layout=widgets.Layout(width=text_width))]) + self.tau_layout = widgets.HBox( + [widgets.Label("\u03c4"), widgets.FloatText(default_tau, layout=widgets.Layout(width=text_width))] + ) default_sigma = self.default_parameters[JSONKeys.fitting_parameters][JSONKeys.sigma] - self.sigma_layout = widgets.HBox([widgets.Label(u"\u03C3"), - widgets.FloatText(default_sigma, - layout=widgets.Layout(width=text_width))]) - bragg_peak_layout = widgets.VBox([self.lambdahkl_layout, - self.tau_layout, - self.sigma_layout]) + self.sigma_layout = widgets.HBox( + [widgets.Label("\u03c3"), widgets.FloatText(default_sigma, layout=widgets.Layout(width=text_width))] + ) + bragg_peak_layout = widgets.VBox([self.lambdahkl_layout, self.tau_layout, self.sigma_layout]) display(bragg_peak_layout) display(widgets.HTML(" index: {left_peak}") - logging.info(f"\tpeak right_range: {right_lambda_range}" + u"\u212b " + f"-> index: {right_peak}") - logging.info(f"\tedge left_range: {left_lambda_edge}" + u"\u212b " + f"-> index: {left_edge}") - logging.info(f"\tedge right_range: {right_lambda_edge}" + u"\u212b " + f"-> index: {right_edge}") + logging.info("Prepare data to fit:") + logging.info(f"\tpeak left_range: {left_lambda_range}" + "\u212b " + f"-> index: {left_peak}") + logging.info(f"\tpeak right_range: {right_lambda_range}" + "\u212b " + f"-> index: {right_peak}") + logging.info(f"\tedge left_range: {left_lambda_edge}" + "\u212b " + f"-> index: {left_edge}") + logging.info(f"\tedge right_range: {right_lambda_edge}" + "\u212b " + f"-> index: {right_edge}") logging.info(f"\tlambda_x_axis: {lambda_x_axis}") logging.info(f"\tsize of profile: {len(profile_shifted)}") @@ -589,71 +604,70 @@ def fit_peak(self, _): # display full spectrum list_matplotlib_colors = Color.list_matplotlib - ax4.plot(x_axis_to_fit, -np.log(y_axis_to_fit), '*', - color=list_matplotlib_colors[0]) + ax4.plot(x_axis_to_fit, -np.log(y_axis_to_fit), "*", color=list_matplotlib_colors[0]) max_counts = 0 dict_of_fit_dict = {} - o_fit_regions = FitRegions(a0=a0, - b0=b0, - ahkl=ahkl, - bhkl=bhkl, - lambdahkl=lambdahkl, - sigma=sigma, - tau=tau, - x_axis_to_fit=x_axis_to_fit, - y_axis_to_fit=y_axis_to_fit, - left_peak_index=self.left_peak_index, - right_peak_index=self.right_peak_index, - left_edge_index=self.left_edge_index, - right_edge_index=self.right_edge_index) + o_fit_regions = FitRegions( + a0=a0, + b0=b0, + ahkl=ahkl, + bhkl=bhkl, + lambdahkl=lambdahkl, + sigma=sigma, + tau=tau, + x_axis_to_fit=x_axis_to_fit, + y_axis_to_fit=y_axis_to_fit, + left_peak_index=self.left_peak_index, + right_peak_index=self.right_peak_index, + left_edge_index=self.left_edge_index, + right_edge_index=self.right_edge_index, + ) o_fit_regions.all_regions() self.fit_dict = o_fit_regions.fit_dict # display fitting # high lambda - x_axis_fitted_high_lambda = o_fit_regions.fit_dict[FittingRegions.high_lambda]['xaxis'] - y_axis_fitted_high_lambda = o_fit_regions.fit_dict[FittingRegions.high_lambda]['yaxis'] - ax4.plot(x_axis_fitted_high_lambda, y_axis_fitted_high_lambda, 'r-') + x_axis_fitted_high_lambda = o_fit_regions.fit_dict[FittingRegions.high_lambda]["xaxis"] + y_axis_fitted_high_lambda = o_fit_regions.fit_dict[FittingRegions.high_lambda]["yaxis"] + ax4.plot(x_axis_fitted_high_lambda, y_axis_fitted_high_lambda, "r-") # low lambda - x_axis_fitted_low_lambda = o_fit_regions.fit_dict[FittingRegions.low_lambda]['xaxis'] - y_axis_fitted_low_lambda = o_fit_regions.fit_dict[FittingRegions.low_lambda]['yaxis'] - ax4.plot(x_axis_fitted_low_lambda, y_axis_fitted_low_lambda, 'y-') + x_axis_fitted_low_lambda = o_fit_regions.fit_dict[FittingRegions.low_lambda]["xaxis"] + y_axis_fitted_low_lambda = o_fit_regions.fit_dict[FittingRegions.low_lambda]["yaxis"] + ax4.plot(x_axis_fitted_low_lambda, y_axis_fitted_low_lambda, "y-") # bragg peak - x_axis_fitted = o_fit_regions.fit_dict[FittingRegions.bragg_peak]['xaxis'] - y_axis_fitted = o_fit_regions.fit_dict[FittingRegions.bragg_peak]['yaxis'] - ax4.plot(x_axis_fitted, y_axis_fitted, 'w-') + x_axis_fitted = o_fit_regions.fit_dict[FittingRegions.bragg_peak]["xaxis"] + y_axis_fitted = o_fit_regions.fit_dict[FittingRegions.bragg_peak]["yaxis"] + ax4.plot(x_axis_fitted, y_axis_fitted, "w-") ax4.set_ylabel("Cross Section (a.u.)") - ax4.set_xlabel(u"\u03bb (\u212b)") + ax4.set_xlabel("\u03bb (\u212b)") - lambdahkl = o_fit_regions.fit_dict['lambdahkl']['value'] - print(f"\u03bb\u2095\u2096\u2097: {lambdahkl:.3f}" + u"\u212b") - ax4.axvline(lambdahkl, - color='b', linestyle='-.') + lambdahkl = o_fit_regions.fit_dict["lambdahkl"]["value"] + print(f"\u03bb\u2095\u2096\u2097: {lambdahkl:.3f}" + "\u212b") + ax4.axvline(lambdahkl, color="b", linestyle="-.") _local_max_counts = np.max(-np.log(y_axis_to_fit)) max_counts = _local_max_counts if _local_max_counts > max_counts else max_counts - ax4.text(lambdahkl, - (max_counts-max_counts/2), - f"{lambdahkl:.3f}", - ha="center", - rotation=45, - size=15, - ) + ax4.text( + lambdahkl, + (max_counts - max_counts / 2), + f"{lambdahkl:.3f}", + ha="center", + rotation=45, + size=15, + ) element = self.v.children[4].value if element in LIST_ELEMENTS_SUPPORTED: - _handler = BraggEdgeLibrary(material=[element], - number_of_bragg_edges=6) + _handler = BraggEdgeLibrary(material=[element], number_of_bragg_edges=6) else: # Ta - _handler = BraggEdgeLibrary(new_material=[{'name': 'Ta', - 'lattice': 3.3058, - 'crystal_structure': 'BCC'}], - number_of_bragg_edges=6) + _handler = BraggEdgeLibrary( + new_material=[{"name": "Ta", "lattice": 3.3058, "crystal_structure": "BCC"}], number_of_bragg_edges=6 + ) self.bragg_edges = _handler.bragg_edges self.hkl = _handler.hkl @@ -661,24 +675,24 @@ def fit_peak(self, _): for _index, _lambda in enumerate(self.bragg_edges[element]): # to display _x in the right axis - ax4.axvline(x=_lambda, color='r', linestyle='--') + ax4.axvline(x=_lambda, color="r", linestyle="--") - ax4.text(_lambda, (max_counts - max_counts/7), - f"{element}\n{_lambda:.3f}", - ha="center", - rotation=45, - size=15, - ) + ax4.text( + _lambda, + (max_counts - max_counts / 7), + f"{element}\n{_lambda:.3f}", + ha="center", + rotation=45, + size=15, + ) def saving_session(self): # select output location - o_output_folder = FileFolderBrowser(working_dir=self.working_dir, - next_function=self.export_session) + o_output_folder = FileFolderBrowser(working_dir=self.working_dir, next_function=self.export_session) o_output_folder.select_output_folder(instruction="Select output folder ...") def export_session(self, output_folder=None): - - logging.info(f"Export session") + logging.info("Export session") # create output file name based on input nexus loaded input_nexus_filename = self.input_nexus_filename @@ -710,36 +724,43 @@ def export_session(self, output_folder=None): # make json compatible rois_selected json_friendly_rois_selected = {} for _key in rois_selected.keys(): - json_friendly_rois_selected[str(_key)] = {JSONKeys.x0: str(rois_selected[_key][JSONKeys.x0]), - JSONKeys.y0: str(rois_selected[_key][JSONKeys.y0]), - JSONKeys.x1: str(rois_selected[_key][JSONKeys.x1]), - JSONKeys.y1: str(rois_selected[_key][JSONKeys.y1]), - } - - json_dict = {JSONKeys.infos: f"config file created on {current_time}", - JSONKeys.input_nexus_filename: input_nexus_filename, - JSONKeys.dSD_m: f"{dSD_m:.4f}", - JSONKeys.offset_micros: f"{offset_micros:.4f}", - JSONKeys.time_shift: f"{time_shift:.4f}", - JSONKeys.element: element, - JSONKeys.left_range: f"{left_range:.4f}", - JSONKeys.right_range: f"{right_range:.4f}", - JSONKeys.left_edge: f"{left_edge:.4f}", - JSONKeys.right_edge: f"{right_edge:.4f}", - JSONKeys.rois_selected: json_friendly_rois_selected, - JSONKeys.a0: init_a0, - JSONKeys.b0: init_b0, - JSONKeys.ahkl: init_ahkl, - JSONKeys.bhkl: init_bhkl, - JSONKeys.lambdahkl: init_lambdahkl, - JSONKeys.tau: init_tau, - JSONKeys.sigma: init_sigma, - } + json_friendly_rois_selected[str(_key)] = { + JSONKeys.x0: str(rois_selected[_key][JSONKeys.x0]), + JSONKeys.y0: str(rois_selected[_key][JSONKeys.y0]), + JSONKeys.x1: str(rois_selected[_key][JSONKeys.x1]), + JSONKeys.y1: str(rois_selected[_key][JSONKeys.y1]), + } + + json_dict = { + JSONKeys.infos: f"config file created on {current_time}", + JSONKeys.input_nexus_filename: input_nexus_filename, + JSONKeys.dSD_m: f"{dSD_m:.4f}", + JSONKeys.offset_micros: f"{offset_micros:.4f}", + JSONKeys.time_shift: f"{time_shift:.4f}", + JSONKeys.element: element, + JSONKeys.left_range: f"{left_range:.4f}", + JSONKeys.right_range: f"{right_range:.4f}", + JSONKeys.left_edge: f"{left_edge:.4f}", + JSONKeys.right_edge: f"{right_edge:.4f}", + JSONKeys.rois_selected: json_friendly_rois_selected, + JSONKeys.a0: init_a0, + JSONKeys.b0: init_b0, + JSONKeys.ahkl: init_ahkl, + JSONKeys.bhkl: init_bhkl, + JSONKeys.lambdahkl: init_lambdahkl, + JSONKeys.tau: init_tau, + JSONKeys.sigma: init_sigma, + } logging.info(json_dict) - with open(output_file_name, 'w') as json_file: + with open(output_file_name, "w") as json_file: json.dump(json_dict, json_file) - display(HTML('Created config file: ' + - output_file_name + '')) + display( + HTML( + 'Created config file: ' + + output_file_name + + "" + ) + ) diff --git a/notebooks/__code/truncate_file_names/truncate_file_names.py b/notebooks/__code/truncate_file_names/truncate_file_names.py index f886ebee..5738d351 100755 --- a/notebooks/__code/truncate_file_names/truncate_file_names.py +++ b/notebooks/__code/truncate_file_names/truncate_file_names.py @@ -1,28 +1,26 @@ -from ipywidgets import widgets -from IPython.display import display, HTML import os +from IPython.display import HTML, display +from ipywidgets import widgets + from __code import utilities from __code.ipywe import fileselector - from __code.ipywe.myfileselector import FileSelectorPanelWithJumpFolders class TruncateFileNames: - list_of_files = None - def __init__(self, working_dir=''): + def __init__(self, working_dir=""): self.working_dir = working_dir def select_input_files(self): - self.input_files_ui = fileselector.FileSelectorPanel(instruction='Select List of Files', - start_dir=self.working_dir, - multiple=True) + self.input_files_ui = fileselector.FileSelectorPanel( + instruction="Select List of Files", start_dir=self.working_dir, multiple=True + ) self.input_files_ui.show() def define_truncate_part(self): - list_of_files = self.input_files_ui.selected if list_of_files: self.list_of_files = list_of_files @@ -31,20 +29,17 @@ def define_truncate_part(self): class NamingSchemaDefinition: - list_of_files = None ready_to_output = False def __init__(self, o_truncate=None): - if o_truncate: self.list_of_files = o_truncate.list_of_files else: raise ValueError("TruncateFileNames is missing!") if self.list_of_files: - _random_input_list = utilities.get_n_random_element(input_list=self.list_of_files, - n=10) + _random_input_list = utilities.get_n_random_element(input_list=self.list_of_files, n=10) self.random_input_list = [os.path.basename(_file) for _file in _random_input_list] self.basename = os.path.basename(self.list_of_files[0]) @@ -63,41 +58,46 @@ def get_basename_of_current_dropdown_selected_file(self, is_with_ext=False): return basename def show(self): - - self.box1 = widgets.HBox([widgets.Label("Random Input:", - layout=widgets.Layout(width='15%')), - widgets.Dropdown(options=self.random_input_list, - value=self.random_input_list[0], - layout=widgets.Layout(width='50%')) - ]) + self.box1 = widgets.HBox( + [ + widgets.Label("Random Input:", layout=widgets.Layout(width="15%")), + widgets.Dropdown( + options=self.random_input_list, value=self.random_input_list[0], layout=widgets.Layout(width="50%") + ), + ] + ) self.random_input_checkbox = self.box1.children[1] - self.random_input_checkbox.observe(self.random_input_checkbox_value_changed, 'value') - - self.box2 = widgets.HBox([widgets.Label("String to remove:", - layout=widgets.Layout(width='30%'))]) - - self.box6 = widgets.HBox([widgets.Label(value=" On the left:", - layout=widgets.Layout(width='40%')), - widgets.Text(value="", - layout=widgets.Layout(width='60%'))]) - self.box7 = widgets.HBox([widgets.Label(value=" On the right:", - layout=widgets.Layout(width='40%')), - widgets.Text(value="", - layout=widgets.Layout(width='60%'))]) + self.random_input_checkbox.observe(self.random_input_checkbox_value_changed, "value") + + self.box2 = widgets.HBox([widgets.Label("String to remove:", layout=widgets.Layout(width="30%"))]) + + self.box6 = widgets.HBox( + [ + widgets.Label(value=" On the left:", layout=widgets.Layout(width="40%")), + widgets.Text(value="", layout=widgets.Layout(width="60%")), + ] + ) + self.box7 = widgets.HBox( + [ + widgets.Label(value=" On the right:", layout=widgets.Layout(width="40%")), + widgets.Text(value="", layout=widgets.Layout(width="60%")), + ] + ) self.box8 = widgets.VBox([self.box6, self.box7], layout=widgets.Layout(width="50%")) self.left_part_to_remove_text = self.box6.children[1] self.right_part_to_remove_text = self.box7.children[1] - self.left_part_to_remove_text.observe(self.left_part_text_changed, 'value') - self.right_part_to_remove_text.observe(self.right_part_text_changed, 'value') - - self.box9= widgets.HBox([widgets.Label("New file name:", - layout=widgets.Layout(width='20%')), - widgets.Label(value="", - layout=widgets.Layout(width='80%'))]) + self.left_part_to_remove_text.observe(self.left_part_text_changed, "value") + self.right_part_to_remove_text.observe(self.right_part_text_changed, "value") + + self.box9 = widgets.HBox( + [ + widgets.Label("New file name:", layout=widgets.Layout(width="20%")), + widgets.Label(value="", layout=widgets.Layout(width="80%")), + ] + ) self.output_label = self.box9.children[1] - separate_line = widgets.HTML(value="
", - layout=widgets.Layout(width="100%")) + separate_line = widgets.HTML(value="
", layout=widgets.Layout(width="100%")) vbox = widgets.VBox([self.box1, separate_line, self.box2, self.box8, separate_line, self.box9]) display(vbox) @@ -117,20 +117,18 @@ def update_new_file_name(self): start_text = self.left_part_to_remove_text.value end_text = self.right_part_to_remove_text.value - if basename[:len(start_text)] == start_text[:]: - new_file_name = basename[len(start_text):] + if basename[: len(start_text)] == start_text[:]: + new_file_name = basename[len(start_text) :] - if basename[-len(end_text):] == end_text[:]: - new_file_name = basename[:-len(end_text)] + if basename[-len(end_text) :] == end_text[:]: + new_file_name = basename[: -len(end_text)] self.output_label.value = new_file_name def check_new_names(self): dict_old_new_names = self.create_dict_old_new_filenames() - old_names_new_names = [f"{os.path.basename(_key)} -> {_value}" for _key,_value in dict_old_new_names.items()] - select_widget = widgets.Select(options=old_names_new_names, - layout=widgets.Layout(width="100%", - height="400px")) + old_names_new_names = [f"{os.path.basename(_key)} -> {_value}" for _key, _value in dict_old_new_names.items()] + select_widget = widgets.Select(options=old_names_new_names, layout=widgets.Layout(width="100%", height="400px")) display(select_widget) def create_dict_old_new_filenames(self): @@ -141,45 +139,50 @@ def create_dict_old_new_filenames(self): new_dict = {} for _file in list_base_file_names: + if _file[: len(start_text)] == start_text[:]: + new_file_name = _file[len(start_text) :] - if _file[:len(start_text)] == start_text[:]: - new_file_name = _file[len(start_text):] - - if _file[-len(end_text):] == end_text[:]: - new_file_name = _file[:-len(end_text)] + if _file[-len(end_text) :] == end_text[:]: + new_file_name = _file[: -len(end_text)] new_dict[_file] = new_file_name return new_dict def select_export_folder(self): - - self.output_folder_ui = FileSelectorPanelWithJumpFolders(instruction='Select Output Folder', - start_dir=self.working_dir, - ipts_folder=self.working_dir, - multiple=False, - # next=self.rename_and_export_files, - newdir_toolbar_button=True, - type='directory') - + self.output_folder_ui = FileSelectorPanelWithJumpFolders( + instruction="Select Output Folder", + start_dir=self.working_dir, + ipts_folder=self.working_dir, + multiple=False, + # next=self.rename_and_export_files, + newdir_toolbar_button=True, + type="directory", + ) def rename_and_export_files(self, output_folder=None): - output_folder = self.output_folder_ui.output_folder_ui.selected input_folder = os.path.abspath(self.input_folder) - input_folder_renamed = os.path.basename(input_folder) + '_renamed' + input_folder_renamed = os.path.basename(input_folder) + "_renamed" self.output_folder_ui.shortcut_buttons.close() new_output_folder = os.path.join(os.path.abspath(output_folder), input_folder_renamed) dict_old_new_names = self.create_dict_old_new_filenames() - utilities.copy_files(dict_old_new_names=dict_old_new_names, - input_folder_name=input_folder, - new_output_folder=new_output_folder, - overwrite=False) + utilities.copy_files( + dict_old_new_names=dict_old_new_names, + input_folder_name=input_folder, + new_output_folder=new_output_folder, + overwrite=False, + ) self.new_list_files = dict_old_new_names self.display_renaming_result(new_output_folder) def display_renaming_result(self, selected): - display(HTML('Following files have been created in folder: ' + - selected + '')) + display( + HTML( + 'Following files have been created in folder: ' + + selected + + "" + ) + ) diff --git a/notebooks/__code/ui_addie.py b/notebooks/__code/ui_addie.py index 7efad4dc..d72ac030 100755 --- a/notebooks/__code/ui_addie.py +++ b/notebooks/__code/ui_addie.py @@ -1,14 +1,13 @@ -# -*- coding: utf-8 -*- - # Form implementation generated from reading ui file '/Volumes/my_book_thunderbolt_duo/git/IPTS/python_notebooks/ui/ui_addie.ui' # # Created by: PyQt5 UI code generator 5.9.2 # # WARNING! All changes made in this file will be lost! -from PyQt5 import QtCore, QtGui, QtWidgets +from PyQt5 import QtCore, QtWidgets + -class Ui_MainWindow(object): +class Ui_MainWindow: def setupUi(self, MainWindow): MainWindow.setObjectName("MainWindow") MainWindow.resize(1352, 807) @@ -125,7 +124,7 @@ def setupUi(self, MainWindow): MainWindow.setStatusBar(self.statusbar) self.retranslateUi(MainWindow) - self.h3_table.customContextMenuRequested['QPoint'].connect(MainWindow.h3_table_right_click) + self.h3_table.customContextMenuRequested["QPoint"].connect(MainWindow.h3_table_right_click) QtCore.QMetaObject.connectSlotsByName(MainWindow) def retranslateUi(self, MainWindow): @@ -175,4 +174,3 @@ def retranslateUi(self, MainWindow): item.setText(_translate("MainWindow", "8")) self.h3_table.setSortingEnabled(__sortingEnabled) self.treeWidget.headerItem().setText(0, _translate("MainWindow", "Columns Visibility")) - diff --git a/notebooks/__code/ui_addie_save_config.py b/notebooks/__code/ui_addie_save_config.py index 7e30b6aa..44c84d48 100755 --- a/notebooks/__code/ui_addie_save_config.py +++ b/notebooks/__code/ui_addie_save_config.py @@ -1,14 +1,13 @@ -# -*- coding: utf-8 -*- - # Form implementation generated from reading ui file '/Volumes/my_book_thunderbolt_duo/git/IPTS/python_notebooks/ui/ui_addie_save_config.ui' # # Created by: PyQt5 UI code generator 5.9.2 # # WARNING! All changes made in this file will be lost! -from PyQt5 import QtCore, QtGui, QtWidgets +from PyQt5 import QtCore, QtWidgets + -class Ui_Dialog(object): +class Ui_Dialog: def setupUi(self, Dialog): Dialog.setObjectName("Dialog") Dialog.resize(401, 89) @@ -57,4 +56,3 @@ def retranslateUi(self, Dialog): self.label.setText(_translate("Dialog", "Configuration Name:")) self.cancel_button.setText(_translate("Dialog", "Cancel")) self.save_button.setText(_translate("Dialog", "Save")) - diff --git a/notebooks/__code/ui_bragg_edge_peak_fitting.py b/notebooks/__code/ui_bragg_edge_peak_fitting.py index 0fd92efe..0cef6be3 100755 --- a/notebooks/__code/ui_bragg_edge_peak_fitting.py +++ b/notebooks/__code/ui_bragg_edge_peak_fitting.py @@ -1,14 +1,13 @@ -# -*- coding: utf-8 -*- - # Form implementation generated from reading ui file '/Users/j35/git/python_notebooks/ui/ui_bragg_edge_peak_fitting.ui' # # Created by: PyQt5 UI code generator 5.9.2 # # WARNING! All changes made in this file will be lost! -from PyQt5 import QtCore, QtGui, QtWidgets +from PyQt5 import QtCore, QtWidgets + -class Ui_MainWindow(object): +class Ui_MainWindow: def setupUi(self, MainWindow): MainWindow.setObjectName("MainWindow") MainWindow.resize(1346, 854) @@ -42,7 +41,7 @@ def setupUi(self, MainWindow): self.label = QtWidgets.QLabel(self.tab) self.label.setMinimumSize(QtCore.QSize(200, 0)) self.label.setMaximumSize(QtCore.QSize(200, 16777215)) - self.label.setAlignment(QtCore.Qt.AlignRight|QtCore.Qt.AlignTrailing|QtCore.Qt.AlignVCenter) + self.label.setAlignment(QtCore.Qt.AlignRight | QtCore.Qt.AlignTrailing | QtCore.Qt.AlignVCenter) self.label.setObjectName("label") self.gridLayout.addWidget(self.label, 0, 0, 1, 1) self.lineEdit = QtWidgets.QLineEdit(self.tab) @@ -58,7 +57,7 @@ def setupUi(self, MainWindow): self.label_4 = QtWidgets.QLabel(self.tab) self.label_4.setMinimumSize(QtCore.QSize(200, 0)) self.label_4.setMaximumSize(QtCore.QSize(200, 16777215)) - self.label_4.setAlignment(QtCore.Qt.AlignRight|QtCore.Qt.AlignTrailing|QtCore.Qt.AlignVCenter) + self.label_4.setAlignment(QtCore.Qt.AlignRight | QtCore.Qt.AlignTrailing | QtCore.Qt.AlignVCenter) self.label_4.setObjectName("label_4") self.gridLayout.addWidget(self.label_4, 1, 0, 1, 1) self.lineEdit_2 = QtWidgets.QLineEdit(self.tab) @@ -174,4 +173,3 @@ def retranslateUi(self, MainWindow): self.tabWidget.setTabText(self.tabWidget.indexOf(self.tab_2), _translate("MainWindow", "Fitting")) self.cancel_button.setText(_translate("MainWindow", "Cancel")) self.apply_button.setText(_translate("MainWindow", "Use this peak")) - diff --git a/notebooks/__code/ui_builder.py b/notebooks/__code/ui_builder.py index 4416ccb7..45f9b61e 100755 --- a/notebooks/__code/ui_builder.py +++ b/notebooks/__code/ui_builder.py @@ -1,24 +1,22 @@ import os -class UiBuilder(object): - pyuic = '' - - def __init__(self, ui_name=''): +class UiBuilder: + pyuic = "" + + def __init__(self, ui_name=""): self.define_pyuic_to_run() - self.ui_name = os.path.abspath('ui/' + ui_name) + self.ui_name = os.path.abspath("ui/" + ui_name) [base, ext] = os.path.splitext(ui_name) - py_name = base + '.py' - self.py_name = os.path.abspath('__code/' + py_name) + py_name = base + ".py" + self.py_name = os.path.abspath("__code/" + py_name) # run command - print(self.pyuic + ' ' + self.ui_name + ' -o ' + self.py_name) - os.system(self.pyuic + ' ' + self.ui_name + ' -o ' + self.py_name) - + print(self.pyuic + " " + self.ui_name + " -o " + self.py_name) + os.system(self.pyuic + " " + self.ui_name + " -o " + self.py_name) + def define_pyuic_to_run(self): try: - from PyQt4 import QtGui - self.pyuic = 'pyuic4' + self.pyuic = "pyuic4" except: - from PyQt5 import QtGui - self.pyuic = 'pyuic5' + self.pyuic = "pyuic5" diff --git a/notebooks/__code/ui_calibrated_transmission.py b/notebooks/__code/ui_calibrated_transmission.py index d9fb06aa..e4881d35 100755 --- a/notebooks/__code/ui_calibrated_transmission.py +++ b/notebooks/__code/ui_calibrated_transmission.py @@ -1,5 +1,3 @@ -# -*- coding: utf-8 -*- - # Form implementation generated from reading ui file '/Users/j35/git/python_notebooks/notebooks/ui/ui_calibrated_transmission.ui' # # Created by: PyQt5 UI code generator 5.12.3 @@ -10,7 +8,7 @@ from PyQt5 import QtCore, QtGui, QtWidgets -class Ui_MainWindow(object): +class Ui_MainWindow: def setupUi(self, MainWindow): MainWindow.setObjectName("MainWindow") MainWindow.resize(1347, 949) @@ -115,7 +113,7 @@ def setupUi(self, MainWindow): brush.setStyle(QtCore.Qt.SolidPattern) palette.setBrush(QtGui.QPalette.Disabled, QtGui.QPalette.ButtonText, brush) self.calibration1_x0_label.setPalette(palette) - self.calibration1_x0_label.setAlignment(QtCore.Qt.AlignRight|QtCore.Qt.AlignTrailing|QtCore.Qt.AlignVCenter) + self.calibration1_x0_label.setAlignment(QtCore.Qt.AlignRight | QtCore.Qt.AlignTrailing | QtCore.Qt.AlignVCenter) self.calibration1_x0_label.setObjectName("calibration1_x0_label") self.gridLayout.addWidget(self.calibration1_x0_label, 0, 0, 1, 1) self.calibration1_x0 = QtWidgets.QLineEdit(self.tab_3) @@ -144,7 +142,9 @@ def setupUi(self, MainWindow): brush.setStyle(QtCore.Qt.SolidPattern) palette.setBrush(QtGui.QPalette.Disabled, QtGui.QPalette.ButtonText, brush) self.calibration1_width_label.setPalette(palette) - self.calibration1_width_label.setAlignment(QtCore.Qt.AlignRight|QtCore.Qt.AlignTrailing|QtCore.Qt.AlignVCenter) + self.calibration1_width_label.setAlignment( + QtCore.Qt.AlignRight | QtCore.Qt.AlignTrailing | QtCore.Qt.AlignVCenter + ) self.calibration1_width_label.setObjectName("calibration1_width_label") self.gridLayout.addWidget(self.calibration1_width_label, 0, 2, 1, 1) self.calibration1_width = QtWidgets.QLineEdit(self.tab_3) @@ -172,7 +172,9 @@ def setupUi(self, MainWindow): brush.setStyle(QtCore.Qt.SolidPattern) palette.setBrush(QtGui.QPalette.Disabled, QtGui.QPalette.ButtonText, brush) self.calibration1_value_label.setPalette(palette) - self.calibration1_value_label.setAlignment(QtCore.Qt.AlignRight|QtCore.Qt.AlignTrailing|QtCore.Qt.AlignVCenter) + self.calibration1_value_label.setAlignment( + QtCore.Qt.AlignRight | QtCore.Qt.AlignTrailing | QtCore.Qt.AlignVCenter + ) self.calibration1_value_label.setObjectName("calibration1_value_label") self.gridLayout.addWidget(self.calibration1_value_label, 0, 4, 1, 1) self.calibration1_value = QtWidgets.QLineEdit(self.tab_3) @@ -200,7 +202,7 @@ def setupUi(self, MainWindow): brush.setStyle(QtCore.Qt.SolidPattern) palette.setBrush(QtGui.QPalette.Disabled, QtGui.QPalette.ButtonText, brush) self.calibration1_y0_label.setPalette(palette) - self.calibration1_y0_label.setAlignment(QtCore.Qt.AlignRight|QtCore.Qt.AlignTrailing|QtCore.Qt.AlignVCenter) + self.calibration1_y0_label.setAlignment(QtCore.Qt.AlignRight | QtCore.Qt.AlignTrailing | QtCore.Qt.AlignVCenter) self.calibration1_y0_label.setObjectName("calibration1_y0_label") self.gridLayout.addWidget(self.calibration1_y0_label, 1, 0, 1, 1) self.calibration1_y0 = QtWidgets.QLineEdit(self.tab_3) @@ -228,7 +230,9 @@ def setupUi(self, MainWindow): brush.setStyle(QtCore.Qt.SolidPattern) palette.setBrush(QtGui.QPalette.Disabled, QtGui.QPalette.ButtonText, brush) self.calibration1_height_label.setPalette(palette) - self.calibration1_height_label.setAlignment(QtCore.Qt.AlignRight|QtCore.Qt.AlignTrailing|QtCore.Qt.AlignVCenter) + self.calibration1_height_label.setAlignment( + QtCore.Qt.AlignRight | QtCore.Qt.AlignTrailing | QtCore.Qt.AlignVCenter + ) self.calibration1_height_label.setObjectName("calibration1_height_label") self.gridLayout.addWidget(self.calibration1_height_label, 1, 2, 1, 1) self.calibration1_height = QtWidgets.QLineEdit(self.tab_3) @@ -401,7 +405,7 @@ def setupUi(self, MainWindow): brush.setStyle(QtCore.Qt.SolidPattern) palette.setBrush(QtGui.QPalette.Disabled, QtGui.QPalette.ButtonText, brush) self.calibration2_x0_label.setPalette(palette) - self.calibration2_x0_label.setAlignment(QtCore.Qt.AlignRight|QtCore.Qt.AlignTrailing|QtCore.Qt.AlignVCenter) + self.calibration2_x0_label.setAlignment(QtCore.Qt.AlignRight | QtCore.Qt.AlignTrailing | QtCore.Qt.AlignVCenter) self.calibration2_x0_label.setObjectName("calibration2_x0_label") self.gridLayout_2.addWidget(self.calibration2_x0_label, 0, 0, 1, 1) self.calibration2_x0 = QtWidgets.QLineEdit(self.tab_4) @@ -421,7 +425,9 @@ def setupUi(self, MainWindow): brush.setStyle(QtCore.Qt.SolidPattern) palette.setBrush(QtGui.QPalette.Disabled, QtGui.QPalette.ButtonText, brush) self.calibration2_width_label.setPalette(palette) - self.calibration2_width_label.setAlignment(QtCore.Qt.AlignRight|QtCore.Qt.AlignTrailing|QtCore.Qt.AlignVCenter) + self.calibration2_width_label.setAlignment( + QtCore.Qt.AlignRight | QtCore.Qt.AlignTrailing | QtCore.Qt.AlignVCenter + ) self.calibration2_width_label.setObjectName("calibration2_width_label") self.gridLayout_2.addWidget(self.calibration2_width_label, 0, 2, 1, 1) self.calibration2_width = QtWidgets.QLineEdit(self.tab_4) @@ -440,7 +446,9 @@ def setupUi(self, MainWindow): brush.setStyle(QtCore.Qt.SolidPattern) palette.setBrush(QtGui.QPalette.Disabled, QtGui.QPalette.ButtonText, brush) self.calibration2_value_label.setPalette(palette) - self.calibration2_value_label.setAlignment(QtCore.Qt.AlignRight|QtCore.Qt.AlignTrailing|QtCore.Qt.AlignVCenter) + self.calibration2_value_label.setAlignment( + QtCore.Qt.AlignRight | QtCore.Qt.AlignTrailing | QtCore.Qt.AlignVCenter + ) self.calibration2_value_label.setObjectName("calibration2_value_label") self.gridLayout_2.addWidget(self.calibration2_value_label, 0, 4, 1, 1) self.calibration2_value = QtWidgets.QLineEdit(self.tab_4) @@ -459,7 +467,7 @@ def setupUi(self, MainWindow): brush.setStyle(QtCore.Qt.SolidPattern) palette.setBrush(QtGui.QPalette.Disabled, QtGui.QPalette.ButtonText, brush) self.calibration2_y0_label.setPalette(palette) - self.calibration2_y0_label.setAlignment(QtCore.Qt.AlignRight|QtCore.Qt.AlignTrailing|QtCore.Qt.AlignVCenter) + self.calibration2_y0_label.setAlignment(QtCore.Qt.AlignRight | QtCore.Qt.AlignTrailing | QtCore.Qt.AlignVCenter) self.calibration2_y0_label.setObjectName("calibration2_y0_label") self.gridLayout_2.addWidget(self.calibration2_y0_label, 1, 0, 1, 1) self.calibration2_y0 = QtWidgets.QLineEdit(self.tab_4) @@ -478,7 +486,9 @@ def setupUi(self, MainWindow): brush.setStyle(QtCore.Qt.SolidPattern) palette.setBrush(QtGui.QPalette.Disabled, QtGui.QPalette.ButtonText, brush) self.calibration2_height_label.setPalette(palette) - self.calibration2_height_label.setAlignment(QtCore.Qt.AlignRight|QtCore.Qt.AlignTrailing|QtCore.Qt.AlignVCenter) + self.calibration2_height_label.setAlignment( + QtCore.Qt.AlignRight | QtCore.Qt.AlignTrailing | QtCore.Qt.AlignVCenter + ) self.calibration2_height_label.setObjectName("calibration2_height_label") self.gridLayout_2.addWidget(self.calibration2_height_label, 1, 2, 1, 1) self.calibration2_height = QtWidgets.QLineEdit(self.tab_4) @@ -687,8 +697,8 @@ def setupUi(self, MainWindow): self.tabWidget.setCurrentIndex(0) self.toolBox.setCurrentIndex(0) self.tabWidget_2.setCurrentIndex(0) - self.file_slider.sliderMoved['int'].connect(MainWindow.slider_file_changed) - self.file_slider.valueChanged['int'].connect(MainWindow.slider_file_changed) + self.file_slider.sliderMoved["int"].connect(MainWindow.slider_file_changed) + self.file_slider.valueChanged["int"].connect(MainWindow.slider_file_changed) self.previous_image_button.clicked.connect(MainWindow.previous_image_button_clicked) self.next_image_button.clicked.connect(MainWindow.next_image_button_clicked) self.export_button.clicked.connect(MainWindow.export_button_clicked) diff --git a/notebooks/__code/ui_display_counts_of_region_vs_stack.py b/notebooks/__code/ui_display_counts_of_region_vs_stack.py index 11fda76a..e8da981a 100755 --- a/notebooks/__code/ui_display_counts_of_region_vs_stack.py +++ b/notebooks/__code/ui_display_counts_of_region_vs_stack.py @@ -1,5 +1,3 @@ -# -*- coding: utf-8 -*- - # Form implementation generated from reading ui file '/Users/j35/git/python_notebooks/notebooks/ui/ui_display_counts_of_region_vs_stack.ui' # # Created by: PyQt5 UI code generator 5.12.3 @@ -7,10 +5,10 @@ # WARNING! All changes made in this file will be lost! -from PyQt5 import QtCore, QtGui, QtWidgets +from PyQt5 import QtCore, QtWidgets -class Ui_MainWindow(object): +class Ui_MainWindow: def setupUi(self, MainWindow): MainWindow.setObjectName("MainWindow") MainWindow.resize(824, 556) diff --git a/notebooks/__code/ui_dual_energy.py b/notebooks/__code/ui_dual_energy.py index c6f176cf..f57e15ba 100755 --- a/notebooks/__code/ui_dual_energy.py +++ b/notebooks/__code/ui_dual_energy.py @@ -1,14 +1,13 @@ -# -*- coding: utf-8 -*- - # Form implementation generated from reading ui file '/Users/j35/git/python_notebooks/ui/ui_dual_energy.ui' # # Created by: PyQt5 UI code generator 5.9.2 # # WARNING! All changes made in this file will be lost! -from PyQt5 import QtCore, QtGui, QtWidgets +from PyQt5 import QtCore, QtWidgets + -class Ui_MainWindow(object): +class Ui_MainWindow: def setupUi(self, MainWindow): MainWindow.setObjectName("MainWindow") MainWindow.resize(921, 595) @@ -156,4 +155,3 @@ def retranslateUi(self, MainWindow): self.label_4.setText(_translate("MainWindow", "Size")) self.bin_units.setText(_translate("MainWindow", "files")) self.done_button.setText(_translate("MainWindow", "DONE")) - diff --git a/notebooks/__code/ui_file_metadata_display.py b/notebooks/__code/ui_file_metadata_display.py index d4541514..67a3ae72 100755 --- a/notebooks/__code/ui_file_metadata_display.py +++ b/notebooks/__code/ui_file_metadata_display.py @@ -1,14 +1,13 @@ -# -*- coding: utf-8 -*- - # Form implementation generated from reading ui file '/Users/j35/git/python_notebooks/notebooks/ui/ui_file_metadata_display.ui' # # Created by: PyQt5 UI code generator 5.9.2 # # WARNING! All changes made in this file will be lost! -from PyQt5 import QtCore, QtGui, QtWidgets +from PyQt5 import QtCore, QtWidgets + -class Ui_MainWindow(object): +class Ui_MainWindow: def setupUi(self, MainWindow): MainWindow.setObjectName("MainWindow") MainWindow.resize(922, 687) @@ -107,7 +106,7 @@ def setupUi(self, MainWindow): self.retranslateUi(MainWindow) self.tableWidget.itemSelectionChanged.connect(MainWindow.table_widget_selection_changed) self.close_button.clicked.connect(MainWindow.close_clicked) - self.group_slider.sliderMoved['int'].connect(MainWindow.refresh_pyqtgraph) + self.group_slider.sliderMoved["int"].connect(MainWindow.refresh_pyqtgraph) self.export_button.clicked.connect(MainWindow.export_button_clicked) QtCore.QMetaObject.connectSlotsByName(MainWindow) @@ -127,4 +126,3 @@ def retranslateUi(self, MainWindow): item.setText(_translate("MainWindow", "P")) self.export_button.setText(_translate("MainWindow", "Export Selection ...")) self.close_button.setText(_translate("MainWindow", "Close")) - diff --git a/notebooks/__code/ui_gamma_filtering_tool.py b/notebooks/__code/ui_gamma_filtering_tool.py index dc93535e..db940382 100755 --- a/notebooks/__code/ui_gamma_filtering_tool.py +++ b/notebooks/__code/ui_gamma_filtering_tool.py @@ -1,5 +1,3 @@ -# -*- coding: utf-8 -*- - # Form implementation generated from reading ui file '/Volumes/G-DRIVE/git/python_notebooks/notebooks/ui/ui_gamma_filtering_tool.ui' # # Created by: PyQt5 UI code generator 5.15.4 @@ -7,10 +5,10 @@ # WARNING! All changes made in this file will be lost! -from PyQt5 import QtCore, QtGui, QtWidgets +from PyQt5 import QtCore, QtWidgets -class Ui_MainWindow(object): +class Ui_MainWindow: def setupUi(self, MainWindow): MainWindow.setObjectName("MainWindow") MainWindow.resize(936, 722) @@ -112,7 +110,7 @@ def setupUi(self, MainWindow): self.cancel_button.clicked.connect(MainWindow.cancel_clicked) self.apply_button.clicked.connect(MainWindow.apply_clicked) self.file_index_slider.sliderPressed.connect(MainWindow.slider_clicked) - self.file_index_slider.valueChanged['int'].connect(MainWindow.slider_moved) + self.file_index_slider.valueChanged["int"].connect(MainWindow.slider_moved) self.filtering_coefficient_value.returnPressed.connect(MainWindow.filtering_coefficient_changed) QtCore.QMetaObject.connectSlotsByName(MainWindow) diff --git a/notebooks/__code/ui_integrated_roi_counts_vs_file_name_and_time_stamp.py b/notebooks/__code/ui_integrated_roi_counts_vs_file_name_and_time_stamp.py index 8d6ef5c5..0b497213 100755 --- a/notebooks/__code/ui_integrated_roi_counts_vs_file_name_and_time_stamp.py +++ b/notebooks/__code/ui_integrated_roi_counts_vs_file_name_and_time_stamp.py @@ -1,5 +1,3 @@ -# -*- coding: utf-8 -*- - # Form implementation generated from reading ui file '/Users/j35/git/python_notebooks/notebooks/ui/ui_integrated_roi_counts_vs_file_name_and_time_stamp.ui' # # Created by: PyQt5 UI code generator 5.12.3 @@ -10,7 +8,7 @@ from PyQt5 import QtCore, QtGui, QtWidgets -class Ui_MainWindow(object): +class Ui_MainWindow: def setupUi(self, MainWindow): MainWindow.setObjectName("MainWindow") MainWindow.resize(1365, 811) @@ -292,8 +290,8 @@ def setupUi(self, MainWindow): self.retranslateUi(MainWindow) self.tabWidget.setCurrentIndex(0) - self.file_slider.sliderMoved['int'].connect(MainWindow.slider_file_changed) - self.file_slider.valueChanged['int'].connect(MainWindow.slider_file_changed) + self.file_slider.sliderMoved["int"].connect(MainWindow.slider_file_changed) + self.file_slider.valueChanged["int"].connect(MainWindow.slider_file_changed) self.previous_image_button.clicked.connect(MainWindow.previous_image_button_clicked) self.next_image_button.clicked.connect(MainWindow.next_image_button_clicked) self.export_button.clicked.connect(MainWindow.export_button_clicked) @@ -302,13 +300,13 @@ def setupUi(self, MainWindow): self.add_roi_button.clicked.connect(MainWindow.add_row_button_clicked) self.grid_display_checkBox.clicked.connect(MainWindow.display_grid_clicked) self.grid_size_slider.sliderPressed.connect(MainWindow.grid_size_slider_clicked) - self.grid_size_slider.sliderMoved['int'].connect(MainWindow.grid_size_slider_moved) + self.grid_size_slider.sliderMoved["int"].connect(MainWindow.grid_size_slider_moved) self.transparency_slider.sliderPressed.connect(MainWindow.transparency_slider_clicked) - self.transparency_slider.sliderMoved['int'].connect(MainWindow.transparency_slider_moved) + self.transparency_slider.sliderMoved["int"].connect(MainWindow.transparency_slider_moved) self.tableWidget.itemSelectionChanged.connect(MainWindow.table_widget_selection_changed) - self.tableWidget.cellChanged['int','int'].connect(MainWindow.table_widget_cell_changed) + self.tableWidget.cellChanged["int", "int"].connect(MainWindow.table_widget_cell_changed) self.grid_size_slider.sliderReleased.connect(MainWindow.grid_size_slider_released) - self.tabWidget.currentChanged['int'].connect(MainWindow.tab_changed) + self.tabWidget.currentChanged["int"].connect(MainWindow.tab_changed) self.add_radioButton.clicked.connect(MainWindow.algo_changed) self.mean_readioButton.clicked.connect(MainWindow.algo_changed) QtCore.QMetaObject.connectSlotsByName(MainWindow) diff --git a/notebooks/__code/ui_linear_profile.py b/notebooks/__code/ui_linear_profile.py index 9e003bb1..6c7f37e4 100755 --- a/notebooks/__code/ui_linear_profile.py +++ b/notebooks/__code/ui_linear_profile.py @@ -1,5 +1,3 @@ -# -*- coding: utf-8 -*- - # Form implementation generated from reading ui file '/Users/j35/git/IPTS/python_notebooks/ui/ui_linear_profile.ui' # # Created by: PyQt5 UI code generator 5.6 @@ -8,7 +6,8 @@ from PyQt5 import QtCore, QtGui, QtWidgets -class Ui_MainWindow(object): + +class Ui_MainWindow: def setupUi(self, MainWindow): MainWindow.setObjectName("MainWindow") MainWindow.resize(800, 709) @@ -115,12 +114,12 @@ def setupUi(self, MainWindow): self.menubar.addAction(self.menuFile.menuAction()) self.retranslateUi(MainWindow) - self.file_index_slider.sliderMoved['int'].connect(MainWindow.slider_changed) + self.file_index_slider.sliderMoved["int"].connect(MainWindow.slider_changed) self.add_profile.clicked.connect(MainWindow.add_profile) self.add_profile_2.clicked.connect(MainWindow.remove_profile) self.pushButton.clicked.connect(MainWindow.ok_button_clicked) self.actionExport_Profile.triggered.connect(MainWindow.export_button_clicked) - self.table_profile.cellChanged['int','int'].connect(MainWindow.save_roi_table) + self.table_profile.cellChanged["int", "int"].connect(MainWindow.save_roi_table) QtCore.QMetaObject.connectSlotsByName(MainWindow) def retranslateUi(self, MainWindow): @@ -146,4 +145,3 @@ def retranslateUi(self, MainWindow): self.pushButton.setText(_translate("MainWindow", "OK")) self.menuFile.setTitle(_translate("MainWindow", "File")) self.actionExport_Profile.setText(_translate("MainWindow", "Export Profile ...")) - diff --git a/notebooks/__code/ui_metadata_overlapping_images.py b/notebooks/__code/ui_metadata_overlapping_images.py index e2472a4a..ae1c6573 100755 --- a/notebooks/__code/ui_metadata_overlapping_images.py +++ b/notebooks/__code/ui_metadata_overlapping_images.py @@ -1,14 +1,13 @@ -# -*- coding: utf-8 -*- - # Form implementation generated from reading ui file '/Users/j35/git/python_notebooks/notebooks/ui/ui_metadata_overlapping_images.ui' # # Created by: PyQt5 UI code generator 5.9.2 # # WARNING! All changes made in this file will be lost! -from PyQt5 import QtCore, QtGui, QtWidgets +from PyQt5 import QtCore, QtWidgets + -class Ui_MainWindow(object): +class Ui_MainWindow: def setupUi(self, MainWindow): MainWindow.setObjectName("MainWindow") MainWindow.resize(1419, 849) @@ -439,42 +438,42 @@ def setupUi(self, MainWindow): self.retranslateUi(MainWindow) self.export_button.clicked.connect(MainWindow.export_button_clicked) self.pushButton.clicked.connect(MainWindow.help_button_clicked) - self.scale_checkbox.clicked['bool'].connect(MainWindow.scale_checkbox_clicked) - self.metadata_checkbox.clicked['bool'].connect(MainWindow.metadata_checkbox_clicked) + self.scale_checkbox.clicked["bool"].connect(MainWindow.scale_checkbox_clicked) + self.metadata_checkbox.clicked["bool"].connect(MainWindow.metadata_checkbox_clicked) self.previous_image_button.clicked.connect(MainWindow.previous_image_button_clicked) self.next_image_button.clicked.connect(MainWindow.next_image_button_clicked) self.file_slider.sliderPressed.connect(MainWindow.slider_file_clicked) - self.file_slider.valueChanged['int'].connect(MainWindow.slider_file_changed) - self.select_metadata_checkbox.clicked['bool'].connect(MainWindow.select_metadata_checkbox_clicked) - self.select_metadata_combobox.currentIndexChanged['int'].connect(MainWindow.metadata_list_changed) + self.file_slider.valueChanged["int"].connect(MainWindow.slider_file_changed) + self.select_metadata_checkbox.clicked["bool"].connect(MainWindow.select_metadata_checkbox_clicked) + self.select_metadata_combobox.currentIndexChanged["int"].connect(MainWindow.metadata_list_changed) self.scale_horizontal_orientation.clicked.connect(MainWindow.scale_orientation_clicked) self.scale_vertical_orientation.clicked.connect(MainWindow.scale_orientation_clicked) - self.scale_thickness.valueChanged['int'].connect(MainWindow.scale_thickness_value_changed) - self.scale_color_combobox.currentIndexChanged['int'].connect(MainWindow.scale_color_changed) - self.scale_size_spinbox.valueChanged['int'].connect(MainWindow.scale_size_changed) + self.scale_thickness.valueChanged["int"].connect(MainWindow.scale_thickness_value_changed) + self.scale_color_combobox.currentIndexChanged["int"].connect(MainWindow.scale_color_changed) + self.scale_size_spinbox.valueChanged["int"].connect(MainWindow.scale_size_changed) self.scale_real_size.returnPressed.connect(MainWindow.scale_real_size_changed) - self.scale_units_combobox.currentIndexChanged['int'].connect(MainWindow.scale_units_changed) - self.scale_position_x.sliderMoved['int'].connect(MainWindow.scale_position_moved) + self.scale_units_combobox.currentIndexChanged["int"].connect(MainWindow.scale_units_changed) + self.scale_position_x.sliderMoved["int"].connect(MainWindow.scale_position_moved) self.scale_position_x.sliderPressed.connect(MainWindow.scale_position_clicked) - self.metadata_position_x.sliderMoved['int'].connect(MainWindow.metadata_position_moved) + self.metadata_position_x.sliderMoved["int"].connect(MainWindow.metadata_position_moved) self.metadata_position_x.sliderPressed.connect(MainWindow.metadata_position_clicked) - self.metadata_position_y.sliderMoved['int'].connect(MainWindow.metadata_position_moved) + self.metadata_position_y.sliderMoved["int"].connect(MainWindow.metadata_position_moved) self.metadata_position_y.sliderPressed.connect(MainWindow.metadata_position_clicked) - self.scale_position_y.sliderMoved['int'].connect(MainWindow.scale_position_moved) + self.scale_position_y.sliderMoved["int"].connect(MainWindow.scale_position_moved) self.scale_position_y.sliderPressed.connect(MainWindow.scale_position_clicked) - self.metadata_color_combobox.currentIndexChanged['int'].connect(MainWindow.metadata_color_changed) + self.metadata_color_combobox.currentIndexChanged["int"].connect(MainWindow.metadata_color_changed) self.manual_metadata_name.returnPressed.connect(MainWindow.metadata_name_return_pressed) self.manual_metadata_units.returnPressed.connect(MainWindow.metadata_name_return_pressed) self.metadata_graph_size_slider.sliderPressed.connect(MainWindow.metadata_graph_size_pressed) - self.metadata_graph_size_slider.sliderMoved['int'].connect(MainWindow.metadata_graph_size_moved) + self.metadata_graph_size_slider.sliderMoved["int"].connect(MainWindow.metadata_graph_size_moved) self.import_table_button.clicked.connect(MainWindow.import_table_pressed) - self.tableWidget.customContextMenuRequested['QPoint'].connect(MainWindow.metadata_table_right_click) + self.tableWidget.customContextMenuRequested["QPoint"].connect(MainWindow.metadata_table_right_click) self.graph_position_y.sliderPressed.connect(MainWindow.graph_position_clicked) self.graph_position_x.sliderPressed.connect(MainWindow.graph_position_clicked) - self.graph_position_x.sliderMoved['int'].connect(MainWindow.graph_position_moved) - self.graph_position_y.sliderMoved['int'].connect(MainWindow.graph_position_moved) - self.enable_graph_checkbox.stateChanged['int'].connect(MainWindow.enable_graph_button_clicked) - self.graph_color_combobox.currentIndexChanged['int'].connect(MainWindow.graph_color_changed) + self.graph_position_x.sliderMoved["int"].connect(MainWindow.graph_position_moved) + self.graph_position_y.sliderMoved["int"].connect(MainWindow.graph_position_moved) + self.enable_graph_checkbox.stateChanged["int"].connect(MainWindow.enable_graph_button_clicked) + self.graph_color_combobox.currentIndexChanged["int"].connect(MainWindow.graph_color_changed) self.graph_position_x.sliderReleased.connect(MainWindow.graph_position_clicked) self.graph_position_y.sliderReleased.connect(MainWindow.graph_position_clicked) QtCore.QMetaObject.connectSlotsByName(MainWindow) @@ -542,4 +541,3 @@ def retranslateUi(self, MainWindow): self.actionDsc.setText(_translate("MainWindow", "dsc ...")) self.actionWater_Intake_2.setText(_translate("MainWindow", "Water Intake ...")) self.actionProfiles.setText(_translate("MainWindow", "Profiles ...")) - diff --git a/notebooks/__code/ui_metadata_overlapping_images_string_format.py b/notebooks/__code/ui_metadata_overlapping_images_string_format.py index 62422e6f..33855e32 100755 --- a/notebooks/__code/ui_metadata_overlapping_images_string_format.py +++ b/notebooks/__code/ui_metadata_overlapping_images_string_format.py @@ -1,14 +1,13 @@ -# -*- coding: utf-8 -*- - # Form implementation generated from reading ui file '/Users/j35/git/python_notebooks/notebooks/ui/ui_metadata_overlapping_images_string_format.ui' # # Created by: PyQt5 UI code generator 5.9.2 # # WARNING! All changes made in this file will be lost! -from PyQt5 import QtCore, QtGui, QtWidgets +from PyQt5 import QtCore, QtWidgets + -class Ui_MainWindow(object): +class Ui_MainWindow: def setupUi(self, MainWindow): MainWindow.setObjectName("MainWindow") MainWindow.resize(807, 640) @@ -69,8 +68,8 @@ def setupUi(self, MainWindow): MainWindow.setStatusBar(self.statusbar) self.retranslateUi(MainWindow) - self.first_part_lineEdit.textChanged['QString'].connect(MainWindow.string_format_changed) - self.second_part_lineEdit.textChanged['QString'].connect(MainWindow.string_format_changed) + self.first_part_lineEdit.textChanged["QString"].connect(MainWindow.string_format_changed) + self.second_part_lineEdit.textChanged["QString"].connect(MainWindow.string_format_changed) self.pushButton_3.clicked.connect(MainWindow.launch_help) self.pushButton_2.clicked.connect(MainWindow.cancel) self.pushButton.clicked.connect(MainWindow.ok) @@ -88,4 +87,3 @@ def retranslateUi(self, MainWindow): self.pushButton_2.setText(_translate("MainWindow", "Cancel")) self.pushButton_3.setText(_translate("MainWindow", "Help")) self.pushButton.setText(_translate("MainWindow", "OK")) - diff --git a/notebooks/__code/ui_panoramic_stitching.py b/notebooks/__code/ui_panoramic_stitching.py index 2be96048..3b7986d0 100755 --- a/notebooks/__code/ui_panoramic_stitching.py +++ b/notebooks/__code/ui_panoramic_stitching.py @@ -1,5 +1,3 @@ -# -*- coding: utf-8 -*- - # Form implementation generated from reading ui file '/Users/j35/git/python_notebooks/notebooks/ui/ui_panoramic_stitching.ui' # # Created by: PyQt5 UI code generator 5.15.7 @@ -8,10 +6,10 @@ # run again. Do not edit this file unless you know what you are doing. -from PyQt5 import QtCore, QtGui, QtWidgets +from PyQt5 import QtCore, QtWidgets -class Ui_MainWindow(object): +class Ui_MainWindow: def setupUi(self, MainWindow): MainWindow.setObjectName("MainWindow") MainWindow.resize(982, 833) @@ -225,26 +223,26 @@ def setupUi(self, MainWindow): self.retranslateUi(MainWindow) self.tabWidget.setCurrentIndex(0) - self.cancel_button.clicked.connect(MainWindow.cancel_clicked) # type: ignore - self.export_button.clicked.connect(MainWindow.apply_clicked) # type: ignore - self.tableWidget.itemSelectionChanged.connect(MainWindow.table_widget_selection_changed) # type: ignore - self.run_stitching_button.clicked.connect(MainWindow.run_stitching_button_clicked) # type: ignore - self.left_button.pressed.connect(MainWindow.left_button_pressed) # type: ignore - self.left_button.released.connect(MainWindow.left_button_released) # type: ignore - self.left_left_button.pressed.connect(MainWindow.left_left_button_pressed) # type: ignore - self.left_left_button.released.connect(MainWindow.left_left_button_released) # type: ignore - self.right_button.pressed.connect(MainWindow.right_button_pressed) # type: ignore - self.right_button.released.connect(MainWindow.right_button_released) # type: ignore - self.right_right_button.pressed.connect(MainWindow.right_right_button_pressed) # type: ignore - self.right_right_button.released.connect(MainWindow.right_right_button_released) # type: ignore - self.up_button.pressed.connect(MainWindow.up_button_pressed) # type: ignore - self.up_button.released.connect(MainWindow.up_button_released) # type: ignore - self.down_button.pressed.connect(MainWindow.down_button_pressed) # type: ignore - self.down_button.released.connect(MainWindow.down_button_released) # type: ignore - self.up_up_button.pressed.connect(MainWindow.up_up_button_pressed) # type: ignore - self.up_up_button.released.connect(MainWindow.up_up_button_released) # type: ignore - self.down_down_button.pressed.connect(MainWindow.down_down_button_pressed) # type: ignore - self.down_down_button.released.connect(MainWindow.down_down_button_released) # type: ignore + self.cancel_button.clicked.connect(MainWindow.cancel_clicked) # type: ignore + self.export_button.clicked.connect(MainWindow.apply_clicked) # type: ignore + self.tableWidget.itemSelectionChanged.connect(MainWindow.table_widget_selection_changed) # type: ignore + self.run_stitching_button.clicked.connect(MainWindow.run_stitching_button_clicked) # type: ignore + self.left_button.pressed.connect(MainWindow.left_button_pressed) # type: ignore + self.left_button.released.connect(MainWindow.left_button_released) # type: ignore + self.left_left_button.pressed.connect(MainWindow.left_left_button_pressed) # type: ignore + self.left_left_button.released.connect(MainWindow.left_left_button_released) # type: ignore + self.right_button.pressed.connect(MainWindow.right_button_pressed) # type: ignore + self.right_button.released.connect(MainWindow.right_button_released) # type: ignore + self.right_right_button.pressed.connect(MainWindow.right_right_button_pressed) # type: ignore + self.right_right_button.released.connect(MainWindow.right_right_button_released) # type: ignore + self.up_button.pressed.connect(MainWindow.up_button_pressed) # type: ignore + self.up_button.released.connect(MainWindow.up_button_released) # type: ignore + self.down_button.pressed.connect(MainWindow.down_button_pressed) # type: ignore + self.down_button.released.connect(MainWindow.down_button_released) # type: ignore + self.up_up_button.pressed.connect(MainWindow.up_up_button_pressed) # type: ignore + self.up_up_button.released.connect(MainWindow.up_up_button_released) # type: ignore + self.down_down_button.pressed.connect(MainWindow.down_down_button_pressed) # type: ignore + self.down_down_button.released.connect(MainWindow.down_down_button_released) # type: ignore QtCore.QMetaObject.connectSlotsByName(MainWindow) def retranslateUi(self, MainWindow): diff --git a/notebooks/__code/ui_profile.py b/notebooks/__code/ui_profile.py index baed1e36..1b012680 100755 --- a/notebooks/__code/ui_profile.py +++ b/notebooks/__code/ui_profile.py @@ -1,5 +1,3 @@ -# -*- coding: utf-8 -*- - # Form implementation generated from reading ui file '/Users/j35/git/python_notebooks/notebooks/ui/ui_profile.ui' # # Created by: PyQt5 UI code generator 5.15.7 @@ -11,7 +9,7 @@ from PyQt5 import QtCore, QtGui, QtWidgets -class Ui_MainWindow(object): +class Ui_MainWindow: def setupUi(self, MainWindow): MainWindow.setObjectName("MainWindow") MainWindow.resize(1365, 811) @@ -403,32 +401,32 @@ def setupUi(self, MainWindow): self.retranslateUi(MainWindow) self.tabWidget.setCurrentIndex(0) - self.file_slider.sliderMoved['int'].connect(MainWindow.slider_file_changed) # type: ignore - self.file_slider.valueChanged['int'].connect(MainWindow.slider_file_changed) # type: ignore - self.previous_image_button.clicked.connect(MainWindow.previous_image_button_clicked) # type: ignore - self.next_image_button.clicked.connect(MainWindow.next_image_button_clicked) # type: ignore - self.export_button.clicked.connect(MainWindow.export_button_clicked) # type: ignore - self.pushButton.clicked.connect(MainWindow.help_button_clicked) # type: ignore - self.pushButton_4.clicked.connect(MainWindow.remove_row_button_clicked) # type: ignore - self.pushButton_5.clicked.connect(MainWindow.add_row_button_clicked) # type: ignore - self.grid_display_checkBox.clicked.connect(MainWindow.display_grid_clicked) # type: ignore - self.grid_size_slider.sliderPressed.connect(MainWindow.grid_size_slider_clicked) # type: ignore - self.grid_size_slider.sliderMoved['int'].connect(MainWindow.grid_size_slider_moved) # type: ignore - self.transparency_slider.sliderPressed.connect(MainWindow.transparency_slider_clicked) # type: ignore - self.transparency_slider.sliderMoved['int'].connect(MainWindow.transparency_slider_moved) # type: ignore - self.right_rotation_button_fast.clicked.connect(MainWindow.right_rotation_fast_clicked) # type: ignore - self.right_rotation_button_slow.clicked.connect(MainWindow.right_rotation_slow_clicked) # type: ignore - self.left_rotation_button_fast.clicked.connect(MainWindow.left_rotation_fast_clicked) # type: ignore - self.left_rotation_button_slow.clicked.connect(MainWindow.left_rotation_slow_clicked) # type: ignore - self.tableWidget.itemSelectionChanged.connect(MainWindow.table_widget_selection_changed) # type: ignore - self.tableWidget_2.itemSelectionChanged.connect(MainWindow.table_widget_2_selection_changed) # type: ignore - self.tableWidget.cellChanged['int','int'].connect(MainWindow.table_widget_cell_changed) # type: ignore - self.grid_size_slider.sliderReleased.connect(MainWindow.grid_size_slider_released) # type: ignore - self.profile_direction_x_axis.clicked.connect(MainWindow.profile_along_axis_changed) # type: ignore - self.profile_direction_y_axis.clicked.connect(MainWindow.profile_along_axis_changed) # type: ignore - self.tabWidget.currentChanged['int'].connect(MainWindow.tab_changed) # type: ignore - self.all_plots_file_name_table.itemSelectionChanged.connect(MainWindow.update_all_plots) # type: ignore - self.all_plots_profiles_table.itemSelectionChanged.connect(MainWindow.update_all_plots) # type: ignore + self.file_slider.sliderMoved["int"].connect(MainWindow.slider_file_changed) # type: ignore + self.file_slider.valueChanged["int"].connect(MainWindow.slider_file_changed) # type: ignore + self.previous_image_button.clicked.connect(MainWindow.previous_image_button_clicked) # type: ignore + self.next_image_button.clicked.connect(MainWindow.next_image_button_clicked) # type: ignore + self.export_button.clicked.connect(MainWindow.export_button_clicked) # type: ignore + self.pushButton.clicked.connect(MainWindow.help_button_clicked) # type: ignore + self.pushButton_4.clicked.connect(MainWindow.remove_row_button_clicked) # type: ignore + self.pushButton_5.clicked.connect(MainWindow.add_row_button_clicked) # type: ignore + self.grid_display_checkBox.clicked.connect(MainWindow.display_grid_clicked) # type: ignore + self.grid_size_slider.sliderPressed.connect(MainWindow.grid_size_slider_clicked) # type: ignore + self.grid_size_slider.sliderMoved["int"].connect(MainWindow.grid_size_slider_moved) # type: ignore + self.transparency_slider.sliderPressed.connect(MainWindow.transparency_slider_clicked) # type: ignore + self.transparency_slider.sliderMoved["int"].connect(MainWindow.transparency_slider_moved) # type: ignore + self.right_rotation_button_fast.clicked.connect(MainWindow.right_rotation_fast_clicked) # type: ignore + self.right_rotation_button_slow.clicked.connect(MainWindow.right_rotation_slow_clicked) # type: ignore + self.left_rotation_button_fast.clicked.connect(MainWindow.left_rotation_fast_clicked) # type: ignore + self.left_rotation_button_slow.clicked.connect(MainWindow.left_rotation_slow_clicked) # type: ignore + self.tableWidget.itemSelectionChanged.connect(MainWindow.table_widget_selection_changed) # type: ignore + self.tableWidget_2.itemSelectionChanged.connect(MainWindow.table_widget_2_selection_changed) # type: ignore + self.tableWidget.cellChanged["int", "int"].connect(MainWindow.table_widget_cell_changed) # type: ignore + self.grid_size_slider.sliderReleased.connect(MainWindow.grid_size_slider_released) # type: ignore + self.profile_direction_x_axis.clicked.connect(MainWindow.profile_along_axis_changed) # type: ignore + self.profile_direction_y_axis.clicked.connect(MainWindow.profile_along_axis_changed) # type: ignore + self.tabWidget.currentChanged["int"].connect(MainWindow.tab_changed) # type: ignore + self.all_plots_file_name_table.itemSelectionChanged.connect(MainWindow.update_all_plots) # type: ignore + self.all_plots_profiles_table.itemSelectionChanged.connect(MainWindow.update_all_plots) # type: ignore QtCore.QMetaObject.connectSlotsByName(MainWindow) def retranslateUi(self, MainWindow): @@ -469,7 +467,9 @@ def retranslateUi(self, MainWindow): item.setText(_translate("MainWindow", "File Names")) item = self.all_plots_profiles_table.horizontalHeaderItem(0) item.setText(_translate("MainWindow", "Profiles")) - self.tabWidget.setTabText(self.tabWidget.indexOf(self.tab_3), _translate("MainWindow", "All Profiles / All Images")) + self.tabWidget.setTabText( + self.tabWidget.indexOf(self.tab_3), _translate("MainWindow", "All Profiles / All Images") + ) item = self.summary_table.horizontalHeaderItem(0) item.setText(_translate("MainWindow", "Files Name")) item = self.summary_table.horizontalHeaderItem(1) diff --git a/notebooks/__code/ui_radial_profile.py b/notebooks/__code/ui_radial_profile.py index c85f191e..fa41659c 100755 --- a/notebooks/__code/ui_radial_profile.py +++ b/notebooks/__code/ui_radial_profile.py @@ -1,14 +1,13 @@ -# -*- coding: utf-8 -*- - # Form implementation generated from reading ui file '/Users/j35/git/python_notebooks/notebooks/ui/ui_radial_profile.ui' # # Created by: PyQt5 UI code generator 5.9.2 # # WARNING! All changes made in this file will be lost! -from PyQt5 import QtCore, QtGui, QtWidgets +from PyQt5 import QtCore, QtWidgets + -class Ui_MainWindow(object): +class Ui_MainWindow: def setupUi(self, MainWindow): MainWindow.setObjectName("MainWindow") MainWindow.resize(1237, 875) @@ -65,7 +64,9 @@ def setupUi(self, MainWindow): self.gridLayout.addWidget(self.circle_x, 0, 1, 1, 1) self.verticalLayout_3.addWidget(self.groupBox_2) self.groupBox_3 = QtWidgets.QGroupBox(self.tab_2) - sizePolicy = QtWidgets.QSizePolicy(QtWidgets.QSizePolicy.MinimumExpanding, QtWidgets.QSizePolicy.MinimumExpanding) + sizePolicy = QtWidgets.QSizePolicy( + QtWidgets.QSizePolicy.MinimumExpanding, QtWidgets.QSizePolicy.MinimumExpanding + ) sizePolicy.setHorizontalStretch(0) sizePolicy.setVerticalStretch(0) sizePolicy.setHeightForWidth(self.groupBox_3.sizePolicy().hasHeightForWidth()) @@ -90,7 +91,7 @@ def setupUi(self, MainWindow): self.sector_from_value.setMinimumSize(QtCore.QSize(30, 0)) self.sector_from_value.setMaximumSize(QtCore.QSize(30, 16777215)) self.sector_from_value.setText("") - self.sector_from_value.setAlignment(QtCore.Qt.AlignRight|QtCore.Qt.AlignTrailing|QtCore.Qt.AlignVCenter) + self.sector_from_value.setAlignment(QtCore.Qt.AlignRight | QtCore.Qt.AlignTrailing | QtCore.Qt.AlignVCenter) self.sector_from_value.setObjectName("sector_from_value") self.gridLayout_2.addWidget(self.sector_from_value, 0, 2, 1, 1) self.sector_to_label = QtWidgets.QLabel(self.groupBox_3) @@ -112,7 +113,7 @@ def setupUi(self, MainWindow): self.gridLayout_2.addWidget(self.from_angle_slider, 0, 1, 1, 1) self.sector_to_value = QtWidgets.QLabel(self.groupBox_3) self.sector_to_value.setText("") - self.sector_to_value.setAlignment(QtCore.Qt.AlignRight|QtCore.Qt.AlignTrailing|QtCore.Qt.AlignVCenter) + self.sector_to_value.setAlignment(QtCore.Qt.AlignRight | QtCore.Qt.AlignTrailing | QtCore.Qt.AlignVCenter) self.sector_to_value.setObjectName("sector_to_value") self.gridLayout_2.addWidget(self.sector_to_value, 1, 2, 1, 1) self.to_angle_slider = QtWidgets.QScrollBar(self.groupBox_3) @@ -256,14 +257,14 @@ def setupUi(self, MainWindow): self.cancel_button.clicked.connect(MainWindow.cancel_clicked) self.sector_full_circle.clicked.connect(MainWindow.sector_radio_button_changed) self.sector_sector.clicked.connect(MainWindow.sector_radio_button_changed) - self.guide_red_slider.sliderMoved['int'].connect(MainWindow.guide_color_changed) - self.guide_green_slider.sliderMoved['int'].connect(MainWindow.guide_color_changed) - self.guide_blue_slider.sliderMoved['int'].connect(MainWindow.guide_color_changed) - self.guide_alpha_slider.sliderMoved['int'].connect(MainWindow.guide_color_changed) - self.grid_size_slider.sliderMoved['int'].connect(MainWindow.grid_slider_moved) + self.guide_red_slider.sliderMoved["int"].connect(MainWindow.guide_color_changed) + self.guide_green_slider.sliderMoved["int"].connect(MainWindow.guide_color_changed) + self.guide_blue_slider.sliderMoved["int"].connect(MainWindow.guide_color_changed) + self.guide_alpha_slider.sliderMoved["int"].connect(MainWindow.guide_color_changed) + self.grid_size_slider.sliderMoved["int"].connect(MainWindow.grid_slider_moved) self.grid_size_slider.sliderPressed.connect(MainWindow.grid_slider_pressed) - self.from_angle_slider.sliderMoved['int'].connect(MainWindow.sector_from_angle_moved) - self.to_angle_slider.sliderMoved['int'].connect(MainWindow.sector_to_angle_moved) + self.from_angle_slider.sliderMoved["int"].connect(MainWindow.sector_from_angle_moved) + self.to_angle_slider.sliderMoved["int"].connect(MainWindow.sector_to_angle_moved) self.from_angle_slider.sliderPressed.connect(MainWindow.sector_from_angle_clicked) self.to_angle_slider.sliderPressed.connect(MainWindow.sector_to_angle_clicked) self.from_angle_slider.sliderReleased.connect(MainWindow.sector_from_angle_clicked) @@ -277,8 +278,8 @@ def setupUi(self, MainWindow): self.guide_alpha_slider.sliderPressed.connect(MainWindow.guide_color_clicked) self.guide_alpha_slider.sliderReleased.connect(MainWindow.guide_color_released) self.grid_size_slider.sliderReleased.connect(MainWindow.grid_slider_pressed) - self.from_angle_slider.valueChanged['int'].connect(MainWindow.sector_from_angle_moved) - self.to_angle_slider.valueChanged['int'].connect(MainWindow.sector_to_angle_moved) + self.from_angle_slider.valueChanged["int"].connect(MainWindow.sector_from_angle_moved) + self.to_angle_slider.valueChanged["int"].connect(MainWindow.sector_to_angle_moved) self.calculate_profiles_button.clicked.connect(MainWindow.calculate_profiles_clicked) self.export_profiles_button.clicked.connect(MainWindow.export_profiles_clicked) self.help_button.clicked.connect(MainWindow.help_button_clicked) @@ -303,18 +304,22 @@ def retranslateUi(self, MainWindow): self.label_5.setText(_translate("MainWindow", "Red")) self.label_9.setText(_translate("MainWindow", "Grid Size")) self.groupBox.setTitle(_translate("MainWindow", "Instructions")) - self.textBrowser.setHtml(_translate("MainWindow", "\n" -"\n" -"

* Define center of circle

\n" -"

* Define radial sector

\n" -"

* Jump to Profile tab and Run Calculation

\n" -"

* Export profiles

")) + self.textBrowser.setHtml( + _translate( + "MainWindow", + '\n' + '\n" + '

* Define center of circle

\n' + '

* Define radial sector

\n' + '

* Jump to Profile tab and Run Calculation

\n' + '

* Export profiles

', + ) + ) self.tabWidget.setTabText(self.tabWidget.indexOf(self.tab_2), _translate("MainWindow", "Initialization")) self.calculate_profiles_button.setText(_translate("MainWindow", "Calculate Profiles")) self.export_profiles_button.setText(_translate("MainWindow", "Export Profiles ...")) self.tabWidget.setTabText(self.tabWidget.indexOf(self.tab), _translate("MainWindow", "Profile")) self.help_button.setText(_translate("MainWindow", "Help")) self.cancel_button.setText(_translate("MainWindow", "Done")) - diff --git a/notebooks/__code/ui_registration.py b/notebooks/__code/ui_registration.py index e5896424..ba0d89d5 100755 --- a/notebooks/__code/ui_registration.py +++ b/notebooks/__code/ui_registration.py @@ -1,5 +1,3 @@ -# -*- coding: utf-8 -*- - # Form implementation generated from reading ui file '/Users/j35/git/python_notebooks/notebooks/ui/ui_registration.ui' # # Created by: PyQt5 UI code generator 5.15.4 @@ -10,7 +8,7 @@ from PyQt5 import QtCore, QtGui, QtWidgets -class Ui_MainWindow(object): +class Ui_MainWindow: def setupUi(self, MainWindow): MainWindow.setObjectName("MainWindow") MainWindow.resize(1007, 1149) @@ -284,20 +282,20 @@ def setupUi(self, MainWindow): self.retranslateUi(MainWindow) self.export_button.clicked.connect(MainWindow.export_button_clicked) self.help_button.clicked.connect(MainWindow.help_button_clicked) - self.file_slider.sliderMoved['int'].connect(MainWindow.slider_file_changed) - self.file_slider.valueChanged['int'].connect(MainWindow.slider_file_changed) + self.file_slider.sliderMoved["int"].connect(MainWindow.slider_file_changed) + self.file_slider.valueChanged["int"].connect(MainWindow.slider_file_changed) self.tableWidget.itemSelectionChanged.connect(MainWindow.table_row_clicked) - self.opacity_slider.valueChanged['int'].connect(MainWindow.opacity_changed) + self.opacity_slider.valueChanged["int"].connect(MainWindow.opacity_changed) self.previous_image_button.clicked.connect(MainWindow.previous_image_button_clicked) self.next_image_button.clicked.connect(MainWindow.next_image_button_clicked) self.selection_all.clicked.connect(MainWindow.selection_all_clicked) self.opacity_selection_slider.sliderPressed.connect(MainWindow.selection_slider_changed) - self.opacity_selection_slider.sliderMoved['int'].connect(MainWindow.selection_slider_moved) + self.opacity_selection_slider.sliderMoved["int"].connect(MainWindow.selection_slider_moved) self.manual_registration_button.clicked.connect(MainWindow.manual_registration_button_clicked) - self.tableWidget.cellChanged['int','int'].connect(MainWindow.table_cell_modified) + self.tableWidget.cellChanged["int", "int"].connect(MainWindow.table_cell_modified) self.auto_registration_button.clicked.connect(MainWindow.auto_registration_button_clicked) self.grid_display_checkBox.clicked.connect(MainWindow.grid_display_checkBox_clicked) - self.grid_size_slider.sliderMoved['int'].connect(MainWindow.grid_size_slider_moved) + self.grid_size_slider.sliderMoved["int"].connect(MainWindow.grid_size_slider_moved) self.grid_size_slider.sliderPressed.connect(MainWindow.grid_size_slider_pressed) self.marker_registration_button.clicked.connect(MainWindow.markers_registration_button_clicked) self.profiler_registration_button.clicked.connect(MainWindow.profiler_registration_button_clicked) diff --git a/notebooks/__code/ui_registration_auto_confirmation.py b/notebooks/__code/ui_registration_auto_confirmation.py index 53e0bfea..d3ad6d14 100755 --- a/notebooks/__code/ui_registration_auto_confirmation.py +++ b/notebooks/__code/ui_registration_auto_confirmation.py @@ -1,5 +1,3 @@ -# -*- coding: utf-8 -*- - # Form implementation generated from reading ui file '/Users/j35/git/python_notebooks/notebooks/ui/ui_registration_auto_confirmation.ui' # # Created by: PyQt5 UI code generator 5.15.4 @@ -10,7 +8,7 @@ from PyQt5 import QtCore, QtGui, QtWidgets -class Ui_Dialog(object): +class Ui_Dialog: def setupUi(self, Dialog): Dialog.setObjectName("Dialog") Dialog.resize(442, 269) @@ -62,11 +60,16 @@ def retranslateUi(self, Dialog): _translate = QtCore.QCoreApplication.translate Dialog.setWindowTitle(_translate("Dialog", "Auto. Registration")) self.label.setText(_translate("Dialog", "Are you sure you want to automatically realign ALL the images!")) - self.textEdit.setHtml(_translate("Dialog", "\n" -"\n" -"

This will overwrite any manual alignment you

\n" -"

made to the data!

")) + self.textEdit.setHtml( + _translate( + "Dialog", + '\n' + '\n" + '

This will overwrite any manual alignment you

\n' + '

made to the data!

', + ) + ) self.pushButton_2.setText(_translate("Dialog", "No")) self.pushButton.setText(_translate("Dialog", "Yes")) diff --git a/notebooks/__code/ui_registration_markers.py b/notebooks/__code/ui_registration_markers.py index 8e294570..39593bbe 100755 --- a/notebooks/__code/ui_registration_markers.py +++ b/notebooks/__code/ui_registration_markers.py @@ -1,5 +1,3 @@ -# -*- coding: utf-8 -*- - # Form implementation generated from reading ui file '/Users/j35/git/python_notebooks/notebooks/ui/ui_registration_markers.ui' # # Created by: PyQt5 UI code generator 5.15.4 @@ -7,10 +5,10 @@ # WARNING! All changes made in this file will be lost! -from PyQt5 import QtCore, QtGui, QtWidgets +from PyQt5 import QtCore, QtWidgets -class Ui_Dialog(object): +class Ui_Dialog: def setupUi(self, Dialog): Dialog.setObjectName("Dialog") Dialog.resize(594, 531) @@ -58,8 +56,8 @@ def setupUi(self, Dialog): self.tabWidget.setCurrentIndex(-1) self.add_marker_button.clicked.connect(Dialog.add_marker_button_clicked) self.remove_marker_button.clicked.connect(Dialog.remove_marker_button_clicked) - self.marker_color_widget.currentIndexChanged['QString'].connect(Dialog.marker_color_changed) - self.tabWidget.currentChanged['int'].connect(Dialog.marker_tab_changed) + self.marker_color_widget.currentIndexChanged["QString"].connect(Dialog.marker_color_changed) + self.tabWidget.currentChanged["int"].connect(Dialog.marker_tab_changed) self.run_registration_button.clicked.connect(Dialog.run_registration_button_clicked) QtCore.QMetaObject.connectSlotsByName(Dialog) diff --git a/notebooks/__code/ui_registration_profile.py b/notebooks/__code/ui_registration_profile.py index b2df1a6d..19e6d6cd 100755 --- a/notebooks/__code/ui_registration_profile.py +++ b/notebooks/__code/ui_registration_profile.py @@ -1,5 +1,3 @@ -# -*- coding: utf-8 -*- - # Form implementation generated from reading ui file '/Users/j35/git/python_notebooks/notebooks/ui/ui_registration_profile.ui' # # Created by: PyQt5 UI code generator 5.15.4 @@ -10,7 +8,7 @@ from PyQt5 import QtCore, QtGui, QtWidgets -class Ui_MainWindow(object): +class Ui_MainWindow: def setupUi(self, MainWindow): MainWindow.setObjectName("MainWindow") MainWindow.setWindowModality(QtCore.Qt.NonModal) @@ -208,11 +206,11 @@ def setupUi(self, MainWindow): self.menubar.addAction(self.menuHelp.menuAction()) self.retranslateUi(MainWindow) - self.file_slider.sliderMoved['int'].connect(MainWindow.slider_file_changed) - self.file_slider.valueChanged['int'].connect(MainWindow.slider_file_changed) + self.file_slider.sliderMoved["int"].connect(MainWindow.slider_file_changed) + self.file_slider.valueChanged["int"].connect(MainWindow.slider_file_changed) self.next_image_button.clicked.connect(MainWindow.next_image_button_clicked) self.previous_image_button.clicked.connect(MainWindow.previous_image_button_clicked) - self.opacity_slider.sliderMoved['int'].connect(MainWindow.opacity_slider_moved) + self.opacity_slider.sliderMoved["int"].connect(MainWindow.opacity_slider_moved) self.export_button.clicked.connect(MainWindow.export_button_clicked) self.calculate_markers_button.clicked.connect(MainWindow.calculate_markers_button_clicked) self.tableWidget.itemSelectionChanged.connect(MainWindow.table_row_clicked) diff --git a/notebooks/__code/ui_registration_profile_settings.py b/notebooks/__code/ui_registration_profile_settings.py index 5f4ec5c4..6043210a 100755 --- a/notebooks/__code/ui_registration_profile_settings.py +++ b/notebooks/__code/ui_registration_profile_settings.py @@ -1,5 +1,3 @@ -# -*- coding: utf-8 -*- - # Form implementation generated from reading ui file '/Users/j35/git/python_notebooks/notebooks/ui/ui_registration_profile_settings.ui' # # Created by: PyQt5 UI code generator 5.15.4 @@ -7,10 +5,10 @@ # WARNING! All changes made in this file will be lost! -from PyQt5 import QtCore, QtGui, QtWidgets +from PyQt5 import QtCore, QtWidgets -class Ui_MainWindow(object): +class Ui_MainWindow: def setupUi(self, MainWindow): MainWindow.setObjectName("MainWindow") MainWindow.resize(776, 184) @@ -60,6 +58,11 @@ def retranslateUi(self, MainWindow): _translate = QtCore.QCoreApplication.translate MainWindow.setWindowTitle(_translate("MainWindow", "MainWindow")) self.label.setText(_translate("MainWindow", "Maximum Delta Pixel Offset")) - self.plainTextEdit.setPlainText(_translate("MainWindow", "Maximum Pixel offset values allowed between two images. If the algorithm returns an offset value greater than this value, the program will use the previous offset value.\n" -"")) + self.plainTextEdit.setPlainText( + _translate( + "MainWindow", + "Maximum Pixel offset values allowed between two images. If the algorithm returns an offset value greater than this value, the program will use the previous offset value.\n" + "", + ) + ) self.ok_button.setText(_translate("MainWindow", "OK")) diff --git a/notebooks/__code/ui_registration_tool.py b/notebooks/__code/ui_registration_tool.py index fdbdea51..3c7e7878 100755 --- a/notebooks/__code/ui_registration_tool.py +++ b/notebooks/__code/ui_registration_tool.py @@ -1,5 +1,3 @@ -# -*- coding: utf-8 -*- - # Form implementation generated from reading ui file '/Users/j35/git/python_notebooks/notebooks/ui/ui_registration_tool.ui' # # Created by: PyQt5 UI code generator 5.15.4 @@ -7,10 +5,10 @@ # WARNING! All changes made in this file will be lost! -from PyQt5 import QtCore, QtGui, QtWidgets +from PyQt5 import QtCore, QtWidgets -class Ui_MainWindow(object): +class Ui_MainWindow: def setupUi(self, MainWindow): MainWindow.setObjectName("MainWindow") MainWindow.resize(610, 532) diff --git a/notebooks/__code/ui_resonance_imaging_experiment_vs_theory.py b/notebooks/__code/ui_resonance_imaging_experiment_vs_theory.py index 1ba796ea..359346bc 100755 --- a/notebooks/__code/ui_resonance_imaging_experiment_vs_theory.py +++ b/notebooks/__code/ui_resonance_imaging_experiment_vs_theory.py @@ -1,5 +1,3 @@ -# -*- coding: utf-8 -*- - # Form implementation generated from reading ui file '/Users/j35/git/python_notebooks/notebooks/ui/ui_resonance_imaging_experiment_vs_theory.ui' # # Created by: PyQt5 UI code generator 5.12.3 @@ -7,10 +5,10 @@ # WARNING! All changes made in this file will be lost! -from PyQt5 import QtCore, QtGui, QtWidgets +from PyQt5 import QtCore, QtWidgets -class Ui_MainWindow(object): +class Ui_MainWindow: def setupUi(self, MainWindow): MainWindow.setObjectName("MainWindow") MainWindow.resize(1162, 863) @@ -155,7 +153,7 @@ def setupUi(self, MainWindow): self.file_index_ratio_button.clicked.connect(MainWindow.radio_button_clicked) self.tof_radio_button.clicked.connect(MainWindow.radio_button_clicked) self.lambda_radio_button.clicked.connect(MainWindow.radio_button_clicked) - self.list_to_plot_widget.itemClicked['QListWidgetItem*'].connect(MainWindow.plot_selection_changed) + self.list_to_plot_widget.itemClicked["QListWidgetItem*"].connect(MainWindow.plot_selection_changed) self.energy_radio_button.clicked.connect(MainWindow.radio_button_clicked) QtCore.QMetaObject.connectSlotsByName(MainWindow) diff --git a/notebooks/__code/ui_resonance_imaging_layers_input.py b/notebooks/__code/ui_resonance_imaging_layers_input.py index b95c5d28..a9d86a67 100755 --- a/notebooks/__code/ui_resonance_imaging_layers_input.py +++ b/notebooks/__code/ui_resonance_imaging_layers_input.py @@ -1,5 +1,3 @@ -# -*- coding: utf-8 -*- - # Form implementation generated from reading ui file '/Users/j35/git/python_notebooks/notebooks/ui/ui_resonance_imaging_layers_input.ui' # # Created by: PyQt5 UI code generator 5.12.3 @@ -7,10 +5,10 @@ # WARNING! All changes made in this file will be lost! -from PyQt5 import QtCore, QtGui, QtWidgets +from PyQt5 import QtCore, QtWidgets -class Ui_MainWindow(object): +class Ui_MainWindow: def setupUi(self, MainWindow): MainWindow.setObjectName("MainWindow") MainWindow.resize(812, 722) @@ -285,9 +283,9 @@ def setupUi(self, MainWindow): self.retranslateUi(MainWindow) self.validate_table_iinputs.clicked.connect(MainWindow.validate_table_input_clicked) - self.layer_name_combobox.currentIndexChanged['QString'].connect(MainWindow.layer_combobox_clicked) - self.element_name_combobox.currentIndexChanged['QString'].connect(MainWindow.element_combobox_clicked) - self.element_table.cellChanged['int','int'].connect(MainWindow.element_table_edited) + self.layer_name_combobox.currentIndexChanged["QString"].connect(MainWindow.layer_combobox_clicked) + self.element_name_combobox.currentIndexChanged["QString"].connect(MainWindow.element_combobox_clicked) + self.element_table.cellChanged["int", "int"].connect(MainWindow.element_table_edited) self.ok_button.clicked.connect(MainWindow.ok_button_clicked) QtCore.QMetaObject.connectSlotsByName(MainWindow) @@ -359,7 +357,7 @@ def retranslateUi(self, MainWindow): self.label_16.setText(_translate("MainWindow", "eV")) self.validate_table_iinputs.setText(_translate("MainWindow", "Validate Table Inputs")) self.check_groupBox.setTitle(_translate("MainWindow", "Check")) - self.label.setText(_translate("MainWindow", "Layer\'s Name")) + self.label.setText(_translate("MainWindow", "Layer's Name")) self.label_2.setText(_translate("MainWindow", "Thickness")) self.layer_thickness.setText(_translate("MainWindow", "N/A")) self.label_4.setText(_translate("MainWindow", "mm")) diff --git a/notebooks/__code/ui_roi_selection.py b/notebooks/__code/ui_roi_selection.py index 4ea2ccc2..a95c3313 100755 --- a/notebooks/__code/ui_roi_selection.py +++ b/notebooks/__code/ui_roi_selection.py @@ -1,5 +1,3 @@ -# -*- coding: utf-8 -*- - # Form implementation generated from reading ui file '/Volumes/G-DRIVE/git/python_notebooks/notebooks/ui/ui_roi_selection.ui' # # Created by: PyQt5 UI code generator 5.15.4 @@ -8,7 +6,8 @@ from PyQt5 import QtCore, QtGui, QtWidgets -class Ui_MainWindow(object): + +class Ui_MainWindow: def setupUi(self, MainWindow): MainWindow.setObjectName("MainWindow") MainWindow.resize(1140, 704) @@ -111,7 +110,7 @@ def setupUi(self, MainWindow): self.apply_button.clicked.connect(MainWindow.apply_clicked) self.remove_roi_button.clicked.connect(MainWindow.remove_roi_button_clicked) self.add_roi_button.clicked.connect(MainWindow.add_roi_button_clicked) - self.table_roi.itemChanged['QTableWidgetItem*'].connect(MainWindow.update_table_roi) + self.table_roi.itemChanged["QTableWidgetItem*"].connect(MainWindow.update_table_roi) QtCore.QMetaObject.connectSlotsByName(MainWindow) def retranslateUi(self, MainWindow): @@ -129,4 +128,3 @@ def retranslateUi(self, MainWindow): self.add_roi_button.setText(_translate("MainWindow", "+")) self.cancel_button.setText(_translate("MainWindow", "Cancel")) self.apply_button.setText(_translate("MainWindow", "OK")) - diff --git a/notebooks/__code/ui_rotate_and_crop.py b/notebooks/__code/ui_rotate_and_crop.py index 63f1f430..f8954a61 100755 --- a/notebooks/__code/ui_rotate_and_crop.py +++ b/notebooks/__code/ui_rotate_and_crop.py @@ -1,5 +1,3 @@ -# -*- coding: utf-8 -*- - # Form implementation generated from reading ui file '/Volumes/JeanHardDrive/git/python_notebooks/notebooks/ui/ui_rotate_and_crop.ui' # # Created by: PyQt5 UI code generator 5.15.7 @@ -8,10 +6,10 @@ # run again. Do not edit this file unless you know what you are doing. -from PyQt5 import QtCore, QtGui, QtWidgets +from PyQt5 import QtCore, QtWidgets -class Ui_MainWindow(object): +class Ui_MainWindow: def setupUi(self, MainWindow): MainWindow.setObjectName("MainWindow") MainWindow.resize(800, 600) @@ -71,19 +69,24 @@ def setupUi(self, MainWindow): MainWindow.setStatusBar(self.statusbar) self.retranslateUi(MainWindow) - self.cancel_button.clicked.connect(MainWindow.cancel_clicked) # type: ignore - self.apply_button.clicked.connect(MainWindow.apply_clicked) # type: ignore + self.cancel_button.clicked.connect(MainWindow.cancel_clicked) # type: ignore + self.apply_button.clicked.connect(MainWindow.apply_clicked) # type: ignore QtCore.QMetaObject.connectSlotsByName(MainWindow) def retranslateUi(self, MainWindow): _translate = QtCore.QCoreApplication.translate MainWindow.setWindowTitle(_translate("MainWindow", "MainWindow")) self.groupBox.setTitle(_translate("MainWindow", "Instructions")) - self.textBrowser.setHtml(_translate("MainWindow", "\n" -"\n" -"

* Define angle value and hit ENTER to validate choice.

\n" -"

* The selection box within the image defines the cropping region

")) + self.textBrowser.setHtml( + _translate( + "MainWindow", + '\n' + '\n" + '

* Define angle value and hit ENTER to validate choice.

\n' + '

* The selection box within the image defines the cropping region

', + ) + ) self.cancel_button.setText(_translate("MainWindow", "Cancel")) self.apply_button.setText(_translate("MainWindow", "Apply on all Images")) diff --git a/notebooks/__code/ui_scale_overlapping_images.py b/notebooks/__code/ui_scale_overlapping_images.py index 93934c3e..39582ba8 100755 --- a/notebooks/__code/ui_scale_overlapping_images.py +++ b/notebooks/__code/ui_scale_overlapping_images.py @@ -1,5 +1,3 @@ -# -*- coding: utf-8 -*- - # Form implementation generated from reading ui file '/Users/j35/git/python_notebooks/notebooks/ui/ui_scale_overlapping_images.ui' # # Created by: PyQt5 UI code generator 5.12.3 @@ -7,10 +5,10 @@ # WARNING! All changes made in this file will be lost! -from PyQt5 import QtCore, QtGui, QtWidgets +from PyQt5 import QtCore, QtWidgets -class Ui_MainWindow(object): +class Ui_MainWindow: def setupUi(self, MainWindow): MainWindow.setObjectName("MainWindow") MainWindow.resize(1365, 811) @@ -170,13 +168,13 @@ def setupUi(self, MainWindow): self.pushButton.clicked.connect(MainWindow.help_button_clicked) self.grid_display_checkBox.clicked.connect(MainWindow.display_grid_clicked) self.grid_size_slider.sliderPressed.connect(MainWindow.grid_size_slider_clicked) - self.grid_size_slider.sliderMoved['int'].connect(MainWindow.grid_size_slider_moved) + self.grid_size_slider.sliderMoved["int"].connect(MainWindow.grid_size_slider_moved) self.transparency_slider.sliderPressed.connect(MainWindow.transparency_slider_clicked) - self.transparency_slider.sliderMoved['int'].connect(MainWindow.transparency_slider_moved) + self.transparency_slider.sliderMoved["int"].connect(MainWindow.transparency_slider_moved) self.grid_size_slider.sliderReleased.connect(MainWindow.grid_size_slider_released) - self.file_slider.sliderMoved['int'].connect(MainWindow.slider_file_changed) + self.file_slider.sliderMoved["int"].connect(MainWindow.slider_file_changed) self.previous_image_button.clicked.connect(MainWindow.previous_image_button_clicked) - self.file_slider.valueChanged['int'].connect(MainWindow.slider_file_changed) + self.file_slider.valueChanged["int"].connect(MainWindow.slider_file_changed) self.next_image_button.clicked.connect(MainWindow.next_image_button_clicked) QtCore.QMetaObject.connectSlotsByName(MainWindow) diff --git a/notebooks/__code/ui_stitching_images.py b/notebooks/__code/ui_stitching_images.py index d00bde8a..0761b78a 100755 --- a/notebooks/__code/ui_stitching_images.py +++ b/notebooks/__code/ui_stitching_images.py @@ -1,14 +1,13 @@ -# -*- coding: utf-8 -*- - # Form implementation generated from reading ui file '/Users/j35/git/python_notebooks/ui/ui_stitching_images.ui' # # Created by: PyQt5 UI code generator 5.9.2 # # WARNING! All changes made in this file will be lost! -from PyQt5 import QtCore, QtGui, QtWidgets +from PyQt5 import QtCore, QtWidgets + -class Ui_MainWindow(object): +class Ui_MainWindow: def setupUi(self, MainWindow): MainWindow.setObjectName("MainWindow") MainWindow.resize(982, 811) @@ -118,4 +117,3 @@ def retranslateUi(self, MainWindow): self.groupBox_3.setTitle(_translate("MainWindow", "Stiched Image")) self.cancel_button.setText(_translate("MainWindow", "Close")) self.apply_button.setText(_translate("MainWindow", "Export ...")) - diff --git a/notebooks/__code/ui_template.py b/notebooks/__code/ui_template.py index e3cda564..930a9d1c 100755 --- a/notebooks/__code/ui_template.py +++ b/notebooks/__code/ui_template.py @@ -1,14 +1,13 @@ -# -*- coding: utf-8 -*- - # Form implementation generated from reading ui file '/Users/j35/git/python_notebooks/ui/ui_template.ui' # # Created by: PyQt5 UI code generator 5.9.2 # # WARNING! All changes made in this file will be lost! -from PyQt5 import QtCore, QtGui, QtWidgets +from PyQt5 import QtCore, QtWidgets + -class Ui_MainWindow(object): +class Ui_MainWindow: def setupUi(self, MainWindow): MainWindow.setObjectName("MainWindow") MainWindow.resize(936, 722) @@ -73,4 +72,3 @@ def retranslateUi(self, MainWindow): self.file_name.setText(_translate("MainWindow", "N/A")) self.cancel_button.setText(_translate("MainWindow", "Cancel")) self.apply_button.setText(_translate("MainWindow", "OK")) - diff --git a/notebooks/__code/ui_water_intake_profile.py b/notebooks/__code/ui_water_intake_profile.py index 5993328d..305a3660 100755 --- a/notebooks/__code/ui_water_intake_profile.py +++ b/notebooks/__code/ui_water_intake_profile.py @@ -1,5 +1,3 @@ -# -*- coding: utf-8 -*- - # Form implementation generated from reading ui file '/SNS/snfs1/instruments/VENUS/shared/software/git/python_notebooks/notebooks/ui/ui_water_intake_profile.ui' # # Created by: PyQt5 UI code generator 5.15.9 @@ -8,10 +6,10 @@ # run again. Do not edit this file unless you know what you are doing. -from PyQt5 import QtCore, QtGui, QtWidgets +from PyQt5 import QtCore, QtWidgets -class Ui_MainWindow(object): +class Ui_MainWindow: def setupUi(self, MainWindow): MainWindow.setObjectName("MainWindow") MainWindow.resize(1420, 1035) @@ -280,31 +278,31 @@ def setupUi(self, MainWindow): self.menubar.addAction(self.menuFile_2.menuAction()) self.retranslateUi(MainWindow) - self.ok_button.clicked.connect(MainWindow.ok_button_clicked) # type: ignore - self.help_button.clicked.connect(MainWindow.help_button_clicked) # type: ignore - self.actionExport_Profile.triggered.connect(MainWindow.export_profile_clicked) # type: ignore - self.actionWater_Intake.triggered.connect(MainWindow.export_water_intake_clicked) # type: ignore - self.add_radioButton.clicked.connect(MainWindow.profile_algo_changed) # type: ignore - self.mean_radioButton.clicked.connect(MainWindow.profile_algo_changed) # type: ignore - self.median_radioButton.clicked.connect(MainWindow.profile_algo_changed) # type: ignore - self.sort_files_by_time_radioButton.clicked.connect(MainWindow.sorting_files_checkbox_clicked) # type: ignore - self.sort_files_by_name_radioButton.clicked.connect(MainWindow.sorting_files_checkbox_clicked) # type: ignore - self.time_between_runs_spinBox.editingFinished.connect(MainWindow.time_between_runs_spinBox_changed) # type: ignore - self.pixel_radioButton.clicked.connect(MainWindow._water_intake_yaxis_checkbox_changed) # type: ignore - self.distance_radioButton.clicked.connect(MainWindow._water_intake_yaxis_checkbox_changed) # type: ignore - self.pixel_size_spinBox.editingFinished.connect(MainWindow._pixel_size_spinBox_changed) # type: ignore - self.actionDsc_files.triggered.connect(MainWindow.import_dsc_clicked) # type: ignore - self.export_table_button.pressed.connect(MainWindow.export_table_button_clicked) # type: ignore - self.actionProfiles.triggered.connect(MainWindow.export_profile_clicked) # type: ignore - self.actionWater_Intake_2.triggered.connect(MainWindow.export_water_intake_clicked) # type: ignore - self.actionDsc.triggered.connect(MainWindow.import_dsc_clicked) # type: ignore - self.x_axis_integration_radioButton.clicked.connect(MainWindow.integration_direction_changed) # type: ignore - self.y_axis_integration_radioButton.clicked.connect(MainWindow.integration_direction_changed) # type: ignore - self.ignore_first_image_checkbox.clicked.connect(MainWindow.ignore_first_image_checkbox_clicked) # type: ignore - self.sliding_average_checkBox.clicked.connect(MainWindow.algorithm_changed) # type: ignore - self.error_function_checkBox.clicked.connect(MainWindow.algorithm_changed) # type: ignore - self.rebin_spinBox.valueChanged['int'].connect(MainWindow.rebin_slider_changed) # type: ignore - self.change_point_checkBox.clicked.connect(MainWindow.algorithm_changed) # type: ignore + self.ok_button.clicked.connect(MainWindow.ok_button_clicked) # type: ignore + self.help_button.clicked.connect(MainWindow.help_button_clicked) # type: ignore + self.actionExport_Profile.triggered.connect(MainWindow.export_profile_clicked) # type: ignore + self.actionWater_Intake.triggered.connect(MainWindow.export_water_intake_clicked) # type: ignore + self.add_radioButton.clicked.connect(MainWindow.profile_algo_changed) # type: ignore + self.mean_radioButton.clicked.connect(MainWindow.profile_algo_changed) # type: ignore + self.median_radioButton.clicked.connect(MainWindow.profile_algo_changed) # type: ignore + self.sort_files_by_time_radioButton.clicked.connect(MainWindow.sorting_files_checkbox_clicked) # type: ignore + self.sort_files_by_name_radioButton.clicked.connect(MainWindow.sorting_files_checkbox_clicked) # type: ignore + self.time_between_runs_spinBox.editingFinished.connect(MainWindow.time_between_runs_spinBox_changed) # type: ignore + self.pixel_radioButton.clicked.connect(MainWindow._water_intake_yaxis_checkbox_changed) # type: ignore + self.distance_radioButton.clicked.connect(MainWindow._water_intake_yaxis_checkbox_changed) # type: ignore + self.pixel_size_spinBox.editingFinished.connect(MainWindow._pixel_size_spinBox_changed) # type: ignore + self.actionDsc_files.triggered.connect(MainWindow.import_dsc_clicked) # type: ignore + self.export_table_button.pressed.connect(MainWindow.export_table_button_clicked) # type: ignore + self.actionProfiles.triggered.connect(MainWindow.export_profile_clicked) # type: ignore + self.actionWater_Intake_2.triggered.connect(MainWindow.export_water_intake_clicked) # type: ignore + self.actionDsc.triggered.connect(MainWindow.import_dsc_clicked) # type: ignore + self.x_axis_integration_radioButton.clicked.connect(MainWindow.integration_direction_changed) # type: ignore + self.y_axis_integration_radioButton.clicked.connect(MainWindow.integration_direction_changed) # type: ignore + self.ignore_first_image_checkbox.clicked.connect(MainWindow.ignore_first_image_checkbox_clicked) # type: ignore + self.sliding_average_checkBox.clicked.connect(MainWindow.algorithm_changed) # type: ignore + self.error_function_checkBox.clicked.connect(MainWindow.algorithm_changed) # type: ignore + self.rebin_spinBox.valueChanged["int"].connect(MainWindow.rebin_slider_changed) # type: ignore + self.change_point_checkBox.clicked.connect(MainWindow.algorithm_changed) # type: ignore QtCore.QMetaObject.connectSlotsByName(MainWindow) def retranslateUi(self, MainWindow): diff --git a/notebooks/__code/utilities.py b/notebooks/__code/utilities.py index d16b4a17..9cd2feb4 100755 --- a/notebooks/__code/utilities.py +++ b/notebooks/__code/utilities.py @@ -1,90 +1,94 @@ -import numpy as np +# import glob +import itertools import os import re import shutil from configparser import RawConfigParser -#import glob -import itertools from shutil import copyfile -#from ipywidgets.widgets import interact +import numpy as np +from IPython.display import HTML, display + +# from ipywidgets.widgets import interact from ipywidgets import widgets -from IPython.display import display, HTML -def calculate_file_temperature(left_T=-1, right_T=-1, left_time=-1, right_time=-1, file_time = -1): +def calculate_file_temperature(left_T=-1, right_T=-1, left_time=-1, right_time=-1, file_time=-1): coeff = (float(right_T) - float(left_T)) / (float(right_time) - float(left_time)) part1 = coeff * (float(file_time) - float(left_time)) return part1 + float(left_T) -def get_first_temperature_and_index_value(index=-1, data_array=[], direction='left'): - if direction == 'left': +def get_first_temperature_and_index_value(index=-1, data_array=[], direction="left"): + if direction == "left": coeff = -1 else: coeff = 1 - while (np.isnan(data_array[index])): + while np.isnan(data_array[index]): index += coeff return [data_array[index], index] def extract_temperature(index=-1, temperature_array=[], time_stamp_array=[]): - - [left_T, left_index] = get_first_temperature_and_index_value(index=index, data_array=temperature_array, direction='left') - [right_T, right_index] = get_first_temperature_and_index_value(index=index, data_array=temperature_array, direction='right') - + [left_T, left_index] = get_first_temperature_and_index_value( + index=index, data_array=temperature_array, direction="left" + ) + [right_T, right_index] = get_first_temperature_and_index_value( + index=index, data_array=temperature_array, direction="right" + ) + left_time = time_stamp_array[left_index] right_time = time_stamp_array[right_index] - + file_time = time_stamp_array[index] - file_temperature = calculate_file_temperature(left_T = left_T, right_T = right_T, - left_time = left_time, right_time = right_time, - file_time = file_time) + file_temperature = calculate_file_temperature( + left_T=left_T, right_T=right_T, left_time=left_time, right_time=right_time, file_time=file_time + ) return file_temperature -def retrieve_T_from_file_vs_temperature_array(file_name='', file_array=[], temperature_array=[]): +def retrieve_T_from_file_vs_temperature_array(file_name="", file_array=[], temperature_array=[]): index = file_array.index(file_name) return temperature_array[index] -def make_output_file_name(bin_number=-1, index=-1, algorithm='mean'): - ''' - takes the bin number and the algorithm name to create the output file name - +def make_output_file_name(bin_number=-1, index=-1, algorithm="mean"): + """ + takes the bin number and the algorithm name to create the output file name + Paramters: * bin_number: index of bin * index: index of file in folder * algorithm: (optional) default value 'mean'. Name of algorithm used to bin data will be used in the new output file name - + Return: * string file name of the output file - + Example: bin_number = 3 index = 2 algorithm = "mean" - + will return 'bin#3_0002_mean.fits - - ''' - - ext = '.fits' + + """ + + ext = ".fits" list_output_file_name = [] - _output_file_name = "bin#{:03d}_{:04d}_{}.fits".format(bin_number, index, algorithm) + _output_file_name = f"bin#{bin_number:03d}_{index:04d}_{algorithm}.fits" return _output_file_name def keep_folder_name(image): - image_array = image.split('_') + image_array = image.split("_") return image_array[0] -def is_extension(filename='', ext='.fits'): +def is_extension(filename="", ext=".fits"): _ext = os.path.splitext(filename)[1] if _ext == ext: return True @@ -104,11 +108,11 @@ def index_last_boolean(result, boolean=True): return _index -def find_index_of_value_in_array(array=[], value=-1, index_type='le'): - ''' +def find_index_of_value_in_array(array=[], value=-1, index_type="le"): + """ index_type is either 'le' or 'ge' - ''' - if index_type == 'le': + """ + if index_type == "le": result = x_axis < value return index_first_boolean(result, False) else: @@ -118,54 +122,54 @@ def find_index_of_value_in_array(array=[], value=-1, index_type='le'): def make_user_friendly_list_of_bins(full_list_of_bins): return [os.path.basename(_file) for _file in full_list_of_bins] - - + + def get_ipts(): current_folder = os.getcwd() parent_folder = os.path.basename(current_folder) - result = re.search(r'IPTS_(\d+)', parent_folder) + result = re.search(r"IPTS_(\d+)", parent_folder) if result: ipts = result.group(1) else: - ipts = '' - + ipts = "" + return ipts -def get_working_dir(ipts='', debugging=False): - ''' +def get_working_dir(ipts="", debugging=False): + """ if there is an ipts argument passed in, the working dir will be '/HFIR/CG1DImaging/IPTS-{}'.format(ipts) if ipts is empty: program will look if there is a 'working_dir' argument in the 'main_session' of the config file '~/.notebooks_config.cfg', otherwise will return the current folder location - ''' + """ if ipts: if debugging: - _path = '/Volumes/my_book_thunderbolt_duo/IPTS/IPTS_{}'.format(ipts) + _path = f"/Volumes/my_book_thunderbolt_duo/IPTS/IPTS_{ipts}" else: - _path = '/HFIR/CG1DImaging/IPTS-{}/'.format(ipts) + _path = f"/HFIR/CG1DImaging/IPTS-{ipts}/" print(_path) if os.path.exists(_path): return _path - config_path = os.path.join(os.path.expanduser('~/'), '.notebooks_config.cfg') + config_path = os.path.join(os.path.expanduser("~/"), ".notebooks_config.cfg") if os.path.exists(config_path): parser = RawConfigParser() parser.read(config_path) try: - working_dir = parser.get('main_session', 'working_dir') + working_dir = parser.get("main_session", "working_dir") except: - working_dir = '/' + working_dir = "/" else: - working_dir = '/' + working_dir = "/" return working_dir -def make_dir(dir='', overwrite=True): - if dir== '': +def make_dir(dir="", overwrite=True): + if dir == "": return - + if overwrite: if os.path.exists(dir): shutil.rmtree(dir) @@ -175,8 +179,8 @@ def make_dir(dir='', overwrite=True): os.mkdir(dir) -def format_file_index(filename='', number_of_digits=4): - ''' +def format_file_index(filename="", number_of_digits=4): + """ This function take a file name that may look like this /Users/my_user/folder/description_1.tif and will format it to make sure the prefix has a fix number of digit. If number of digit is 4, the file name will be now /Users/my_user/folder/description_0001.tif @@ -189,27 +193,27 @@ def format_file_index(filename='', number_of_digits=4): Returns: ======== new file name formatted - ''' + """ _basename = os.path.basename(filename) [_base, _ext] = os.path.splitext(_basename) - _base_slitted = _base.split('_') + _base_slitted = _base.split("_") _number = int(_base_slitted[-1]) - return '' + return "" def get_n_random_element(input_list=[], n=1): - ''' + """ will return a list of n element taken from the input array called input_list - ''' + """ if len(input_list) <= n: return input_list - n_random = np.random.randint(0, len(input_list)-1, n) + n_random = np.random.randint(0, len(input_list) - 1, n) new_list = [input_list[_index] for _index in n_random] return new_list -def rename_files(dict_old_new_names={}, new_output_folder=''): +def rename_files(dict_old_new_names={}, new_output_folder=""): make_dir(dir=new_output_folder) nbr_files = len(dict_old_new_names.keys()) @@ -224,8 +228,7 @@ def rename_files(dict_old_new_names={}, new_output_folder=''): w1.value = _index + 1 -def copy_files(dict_old_new_names={}, input_folder_name=None, new_output_folder='', overwrite=True): - +def copy_files(dict_old_new_names={}, input_folder_name=None, new_output_folder="", overwrite=True): make_dir(dir=new_output_folder, overwrite=overwrite) nbr_files = len(dict_old_new_names.keys()) @@ -242,35 +245,39 @@ def copy_files(dict_old_new_names={}, input_folder_name=None, new_output_folder= w1.value = _index + 1 -def display_html_message(*, title_message='', message='', message_type='info'): +def display_html_message(*, title_message="", message="", message_type="info"): + if message_type == "info": + line_color = "blue" + message_color = "black" - if message_type == 'info': - line_color = 'blue' - message_color = 'black' + elif message_type == "error": + line_color = "red" + message_color = "red" - elif message_type == 'error': - line_color = 'red' - message_color = 'red' - - elif message_type == 'ok': - line_color = 'green' - message_color = 'black' + elif message_type == "ok": + line_color = "green" + message_color = "black" else: - line_color = 'black' - message_color = 'black' + line_color = "black" + message_color = "black" + + display( + HTML( + f'{title_message} ' + + f' ' + + message + + "" + ) + ) - display(HTML('{} '.format(line_color, - title_message) + - ' '.format(message_color) + - message + '')) def find_nearest_index(array, value): idx = (np.abs(np.array(array) - value)).argmin() return idx -class ListRunsParser(object): +class ListRunsParser: """ will clean up the current_list_of_runs with the new added runs ex: [1,2,3,4,7] -> 1:4,7 @@ -281,14 +288,13 @@ class ListRunsParser(object): list_current_runs = [] # ['1','10','2','30','4'] int_list_current_runs = [] # [1, 2, 4, 10, 30] - def __init__(self, current_runs=''): + def __init__(self, current_runs=""): if current_runs: self.make_discrete_list_of_runs(str_current_runs=current_runs) - def make_discrete_list_of_runs(self, str_current_runs=''): - spans = (el.partition(':')[::2] for el in str_current_runs.split(',')) - ranges = (np.arange(int(s), int(e) + 1 if e else int(s) + 1) - for s, e in spans) + def make_discrete_list_of_runs(self, str_current_runs=""): + spans = (el.partition(":")[::2] for el in str_current_runs.split(",")) + ranges = (np.arange(int(s), int(e) + 1 if e else int(s) + 1) for s, e in spans) try: all_nums = itertools.chain.from_iterable(ranges) _all_nums = set(all_nums) @@ -333,7 +339,7 @@ def new_runs(self, list_runs=[]): # create full matching list def match_list(reference_list=[], our_list=[]): _index = 0 - _ref_list_and_our_list = zip(our_list, reference_list) + _ref_list_and_our_list = zip(our_list, reference_list, strict=False) for _ref_run, _our_run in _ref_list_and_our_list: if _ref_run == _our_run: _index += 1 @@ -344,17 +350,15 @@ def match_list(reference_list=[], our_list=[]): _index = 0 _groups = [] - _our_list = self.int_list_current_runs[_index: ] - _list_full_reference = np.arange(_our_list[0], _our_list[-1]+1) + _our_list = self.int_list_current_runs[_index:] + _list_full_reference = np.arange(_our_list[0], _our_list[-1] + 1) # print("new list: {}".format(_our_list)) while _our_list: + _ref_index = match_list(reference_list=_list_full_reference, our_list=_our_list) - _ref_index = match_list(reference_list=_list_full_reference, - our_list=_our_list) - - _group = [_our_list[0], _our_list[_ref_index-1]] + _group = [_our_list[0], _our_list[_ref_index - 1]] # print("_group: {}".format(_group)) _groups.append(_group) @@ -366,13 +370,12 @@ def match_list(reference_list=[], our_list=[]): if len(_our_list) == 0: break - _list_full_reference = np.arange(_our_list[0], _our_list[-1]+1) + _list_full_reference = np.arange(_our_list[0], _our_list[-1] + 1) # print("_groups: {}".format(_groups)) list_runs = [] for _group in _groups: - if len(_group) == 2: [_left_value, _right_value] = _group @@ -382,7 +385,7 @@ def match_list(reference_list=[], our_list=[]): list_runs.append(str(_left_value)) list_runs.append(str(_right_value)) else: - list_runs.append("{}:{}".format(_left_value, _right_value)) + list_runs.append(f"{_left_value}:{_right_value}") else: list_runs.append(str(_group[0])) diff --git a/notebooks/__code/venus_chop_tcero_monitor_counts/main.py b/notebooks/__code/venus_chop_tcero_monitor_counts/main.py index 3d53edd5..f70a5c6b 100755 --- a/notebooks/__code/venus_chop_tcero_monitor_counts/main.py +++ b/notebooks/__code/venus_chop_tcero_monitor_counts/main.py @@ -1,20 +1,14 @@ -import os import logging +import os + import h5py -import numpy as np import matplotlib.pyplot as plt -from ipywidgets import interactive -import ipywidgets as widgets -from IPython.display import display, HTML -import algotom.io.loadersaver as losa - +import numpy as np +from IPython.display import HTML, display from neutronbraggedge.experiment_handler import * -from neutronbraggedge.braggedge import BraggEdge as BraggEdgeLibrary from __code._utilities.file import get_full_home_file_name -from __code._utilities import LAMBDA, MICRO, ANGSTROMS from __code.ipywe import fileselector -from __code.file_folder_browser import FileFolderBrowser LOG_FILE_NAME = ".venus_monitor_hdf5.log" @@ -22,36 +16,35 @@ class VenusChopTCeroMonitorCounts: - list_nexus_with_missing_key = [] def __init__(self, working_dir=None): self.working_dir = working_dir self.log_file_name = get_full_home_file_name(LOG_FILE_NAME) - logging.basicConfig(filename=self.log_file_name, - filemode='w', - format='[%(levelname)s] - %(asctime)s - %(message)s', - level=logging.INFO) + logging.basicConfig( + filename=self.log_file_name, + filemode="w", + format="[%(levelname)s] - %(asctime)s - %(message)s", + level=logging.INFO, + ) logging.info("*** Starting a new session ***") def select_list_nexus(self): - - start_dir = os.path.join(self.working_dir, 'nexus') - - self.nexus_ui = fileselector.FileSelectorPanel(instruction='Select NeXus files ...', - start_dir=start_dir, - next=self.load_data, - filters={'NeXus': ".h5"}, - multiple=True, - sort_by_time=True, - sort_in_reverse=True) + start_dir = os.path.join(self.working_dir, "nexus") + + self.nexus_ui = fileselector.FileSelectorPanel( + instruction="Select NeXus files ...", + start_dir=start_dir, + next=self.load_data, + filters={"NeXus": ".h5"}, + multiple=True, + sort_by_time=True, + sort_in_reverse=True, + ) self.nexus_ui.show() - - def load_data(self, list_nexus_file_name): - list_nexus_file_name.sort(reverse=True) self.list_nexus_file_name = list_nexus_file_name @@ -59,15 +52,16 @@ def load_data(self, list_nexus_file_name): monitor_counts_array = [] for _nexus in list_nexus_file_name: - - with h5py.File(_nexus, 'r') as nxs: + with h5py.File(_nexus, "r") as nxs: try: - _average_phase_delay = nxs['entry']['DASlogs']['BL10:CHOP:TCERO:PhaseDelaySP']['average_value'][()][0] - _monitor_counts = nxs['entry']['monitor1']['total_counts'][()][0] + _average_phase_delay = nxs["entry"]["DASlogs"]["BL10:CHOP:TCERO:PhaseDelaySP"]["average_value"][()][ + 0 + ] + _monitor_counts = nxs["entry"]["monitor1"]["total_counts"][()][0] except KeyError: self.list_nexus_with_missing_key.append(_nexus) _average_phase_delay = np.nan - _monitor_counts = np.NaN + _monitor_counts = np.nan phase_delay_array.append(_average_phase_delay) monitor_counts_array.append(_monitor_counts) @@ -76,28 +70,30 @@ def load_data(self, list_nexus_file_name): self.monitor_counts_array = monitor_counts_array self.display() - - def display(self): + def display(self): minimum_counts = np.nanmin(self.monitor_counts_array) index_of_minimum = int(np.where(self.monitor_counts_array == minimum_counts)[0][0]) value_of_phase_delay_at_that_minimum = self.phase_delay_array[index_of_minimum] - plt.rcParams['figure.constrained_layout.use'] = True - fig, ax1 = plt.subplots(nrows=1, ncols=1, num=f"", - figsize=(8, 8), - ) + plt.rcParams["figure.constrained_layout.use"] = True + fig, ax1 = plt.subplots( + nrows=1, + ncols=1, + num="", + figsize=(8, 8), + ) ax2 = ax1.twinx() - ax1.plot(self.phase_delay_array, 'r+') - ax2.plot(self.monitor_counts_array, 'b.') - ax1.axvline(index_of_minimum, linestyle='--') + ax1.plot(self.phase_delay_array, "r+") + ax2.plot(self.monitor_counts_array, "b.") + ax1.axvline(index_of_minimum, linestyle="--") ax1.axhline(value_of_phase_delay_at_that_minimum) ax1.set_xlabel("Nexus index") - ax1.set_ylabel("Phase Delay", color='r') - ax2.set_ylabel("Monitor Counts", color='b') + ax1.set_ylabel("Phase Delay", color="r") + ax2.set_ylabel("Monitor Counts", color="b") display(HTML("Report:")) print(f"Phase delay at minimum: {value_of_phase_delay_at_that_minimum}") @@ -107,10 +103,10 @@ def display(self): print(f"NeXus at minimum: {nexus_file_of_minimum}") start_time = 0 - with h5py.File(nexus_file_of_minimum, 'r') as nxs: - start_time = nxs['entry']['start_time'][()] + with h5py.File(nexus_file_of_minimum, "r") as nxs: + start_time = nxs["entry"]["start_time"][()] print(f"Start acquisition time: {start_time[0].decode('utf-8')}") - print(f"") + print("") _list_nexus_with_missing_key = [os.path.basename(_file) for _file in self.list_nexus_with_missing_key] print(f"List of nexus that had missing key: {_list_nexus_with_missing_key}") diff --git a/notebooks/__code/venus_display_metadata_from_hdf5/__init__.py b/notebooks/__code/venus_display_metadata_from_hdf5/__init__.py index 8c100a1f..a678d702 100755 --- a/notebooks/__code/venus_display_metadata_from_hdf5/__init__.py +++ b/notebooks/__code/venus_display_metadata_from_hdf5/__init__.py @@ -1,18 +1,26 @@ -list_pvs = {'daq-rate': {'path': ['entry', 'DASlogs', 'BL10:Det:BM1:Histo:Daq:Rate'], - 'label': 'BM count rate on BM controller', - }, - 'event_rate_rbv': {'path': ['entry', 'DASlogs', 'BL10:Det:M1:Det1:EventRate_RBV'], - 'label': 'BM count rate from ADnED', - }, - 'count_rate': {'path': ['entry', 'DASlogs', 'BL10:Det:T1:CountRate_RBV'], - 'label': 'TPX3 count rate from ADtED', - }, - 'pel_evt_rate': {'path': ['entry', 'DASlogs', 'BL10:CS:tpx3:cam1:PelEvtRate_RBV'], - 'label': 'TPX3 count rate on Serval', - }, - 'discr_read': {'path': ['entry', 'DASlogs', 'BL10:Det:BM1:Discr:Read'], - 'label': 'Beam monitor discriminator threshold'}, - 'volt_alarm': {'path': ['entry', 'DASlogs', 'BL10:Det:BM1:HV:VoltAlarm'], - 'label': 'Beam monitor HV', - }, - } \ No newline at end of file +list_pvs = { + "daq-rate": { + "path": ["entry", "DASlogs", "BL10:Det:BM1:Histo:Daq:Rate"], + "label": "BM count rate on BM controller", + }, + "event_rate_rbv": { + "path": ["entry", "DASlogs", "BL10:Det:M1:Det1:EventRate_RBV"], + "label": "BM count rate from ADnED", + }, + "count_rate": { + "path": ["entry", "DASlogs", "BL10:Det:T1:CountRate_RBV"], + "label": "TPX3 count rate from ADtED", + }, + "pel_evt_rate": { + "path": ["entry", "DASlogs", "BL10:CS:tpx3:cam1:PelEvtRate_RBV"], + "label": "TPX3 count rate on Serval", + }, + "discr_read": { + "path": ["entry", "DASlogs", "BL10:Det:BM1:Discr:Read"], + "label": "Beam monitor discriminator threshold", + }, + "volt_alarm": { + "path": ["entry", "DASlogs", "BL10:Det:BM1:HV:VoltAlarm"], + "label": "Beam monitor HV", + }, +} diff --git a/notebooks/__code/venus_display_metadata_from_hdf5/main.py b/notebooks/__code/venus_display_metadata_from_hdf5/main.py index d003edeb..7a8ba28e 100755 --- a/notebooks/__code/venus_display_metadata_from_hdf5/main.py +++ b/notebooks/__code/venus_display_metadata_from_hdf5/main.py @@ -1,24 +1,15 @@ -import os import logging +import os + import h5py -import numpy as np -import matplotlib.pyplot as plt -from ipywidgets import interactive import ipywidgets as widgets -from IPython.display import display, HTML -import algotom.io.loadersaver as losa - +import matplotlib.pyplot as plt +import numpy as np +from IPython.display import display from neutronbraggedge.experiment_handler import * -from neutronbraggedge.braggedge import BraggEdge as BraggEdgeLibrary -from __code._utilities.file import get_full_home_file_name -from __code.venus_display_metadata_from_hdf5 import list_pvs -from __code._utilities.file import make_ascii_file -from __code._utilities import LAMBDA, MICRO, ANGSTROMS from __code.ipywe import fileselector -from __code.file_folder_browser import FileFolderBrowser -from __code.ipywe.myfileselector import FileSelectorPanelWithJumpFolders - +from __code.venus_display_metadata_from_hdf5 import list_pvs LOG_PATH = "/SNS/VENUS/shared/log/" file_name, ext = os.path.splitext(os.path.basename(__file__)) @@ -28,82 +19,87 @@ class VenusDisplayMetadataFromHdf5: - display_average_metadata = False list_mean_data = {} list_mean_data_second_set = {} - + def __init__(self, working_dir=None): self.working_dir = working_dir - logging.basicConfig(filename=LOG_FILE_NAME, - filemode='w', - format='[%(levelname)s] - %(asctime)s - %(message)s', - level=logging.INFO) + logging.basicConfig( + filename=LOG_FILE_NAME, + filemode="w", + format="[%(levelname)s] - %(asctime)s - %(message)s", + level=logging.INFO, + ) logging.info("*** Starting a new session ***") def select_event_nexus(self, display_average_metadata=False): self.display_average_metadata = display_average_metadata - self.legend_ui = widgets.Text(value="", placeholder='Type your legend here', description='Legend:', disabled=False) + self.legend_ui = widgets.Text( + value="", placeholder="Type your legend here", description="Legend:", disabled=False + ) display(self.legend_ui) - start_dir = os.path.join(self.working_dir, 'nexus') - - self.nexus_ui = fileselector.FileSelectorPanel(instruction='Select NeXus file ...', - start_dir=start_dir, - next=self.load_metadata, - filters={'NeXus': ".h5"}, - multiple=True, - stay_alive=False, - sort_in_reverse=True, - sort_by_alphabetical=True) + start_dir = os.path.join(self.working_dir, "nexus") + + self.nexus_ui = fileselector.FileSelectorPanel( + instruction="Select NeXus file ...", + start_dir=start_dir, + next=self.load_metadata, + filters={"NeXus": ".h5"}, + multiple=True, + stay_alive=False, + sort_in_reverse=True, + sort_by_alphabetical=True, + ) self.nexus_ui.show() def value_of_pv_path(h5file, list_pv_path): - - with h5py.File(h5file, 'r') as nxs: + with h5py.File(h5file, "r") as nxs: for _path_entry in list_pv_path: nxs = nxs[_path_entry] - return nxs['value'][:] + return nxs["value"][:] def mean_value_of_pv_path(h5file, list_pv_path): - with h5py.File(h5file, 'r') as nxs: + with h5py.File(h5file, "r") as nxs: for _path_entry in list_pv_path: nxs = nxs[_path_entry] - return np.mean(np.array(nxs['value'][:])) + return np.mean(np.array(nxs["value"][:])) def load_metadata(self, list_nexus_file_name): dict_data, list_mean_data, list_nexus = self._load_metadata(list_nexus_file_name) self.dict_data = dict_data self.list_mean_data = list_mean_data - self.list_nexus = list_nexus + self.list_nexus = list_nexus if self.display_average_metadata: self.display_average_metadata() else: self.display_metadata() def display_metadata(self): + fig, axs = plt.subplots( + nrows=len(list_pvs.keys()), + ncols=2, + num="Venus Metadata", + figsize=(12, 4 * len(list_pvs.keys())), + ) - fig, axs = plt.subplots(nrows=len(list_pvs.keys()), ncols=2, num="Venus Metadata", - figsize=(12, 4*len(list_pvs.keys())), - ) - for _index, _pv_key in enumerate(self.list_mean_data.keys()): - - axs[_index, 0].plot(self.list_mean_data[_pv_key], 'o-', label=self.legend_ui.value) + axs[_index, 0].plot(self.list_mean_data[_pv_key], "o-", label=self.legend_ui.value) axs[_index, 0].set_title(f"Mean {list_pvs[_pv_key]['label']}") - axs[_index, 0].set_ylabel(list_pvs[_pv_key]['label']) + axs[_index, 0].set_ylabel(list_pvs[_pv_key]["label"]) axs[_index, 0].set_xlabel("Nexus file index") axs[_index, 0].set_xticks(range(len(self.list_mean_data[_pv_key])), labels=self.list_nexus, rotation=90) axs[_index, 0].legend() - + for _nexus in self.dict_data.keys(): _data = self.dict_data[_nexus][_pv_key] if _data is not None: - axs[_index, 1].plot(_data, '.-', label=os.path.basename(_nexus)) + axs[_index, 1].plot(_data, ".-", label=os.path.basename(_nexus)) axs[_index, 1].set_xlabel("value index") - axs[_index, 1].set_ylabel(list_pvs[_pv_key]['label']) + axs[_index, 1].set_ylabel(list_pvs[_pv_key]["label"]) axs[_index, 1].set_title(f"full {list_pvs[_pv_key]['label']} ") axs[_index, 1].legend() # axs[_index, 1].set_title(f"{list_pvs[_pv_key]['label']} vs. time") @@ -112,72 +108,77 @@ def display_metadata(self): plt.show() def display_first_and_second_set(self): + fig, axs = plt.subplots( + nrows=len(list_pvs.keys()), + ncols=2, + num="Venus Metadata", + figsize=(12, 4 * len(list_pvs.keys())), + ) - fig, axs = plt.subplots(nrows=len(list_pvs.keys()), ncols=2, num="Venus Metadata", - figsize=(12, 4*len(list_pvs.keys())), - ) - for _index, _pv_key in enumerate(self.list_mean_data.keys()): - - axs[_index, 0].plot(self.list_mean_data[_pv_key], 'o-', label=self.legend_ui.value) + axs[_index, 0].plot(self.list_mean_data[_pv_key], "o-", label=self.legend_ui.value) axs[_index, 0].set_title(f"Mean {list_pvs[_pv_key]['label']}") - axs[_index, 0].set_ylabel(list_pvs[_pv_key]['label']) + axs[_index, 0].set_ylabel(list_pvs[_pv_key]["label"]) axs[_index, 0].set_xlabel("Nexus file index") axs[_index, 0].set_xticks(range(len(self.list_mean_data[_pv_key])), labels=self.list_nexus, rotation=90) axs[_index, 0].legend() - - axs[_index, 1].plot(self.list_mean_data_second_set[_pv_key], 'o-', color='red', label=self.legend_second_set_ui.value) + + axs[_index, 1].plot( + self.list_mean_data_second_set[_pv_key], "o-", color="red", label=self.legend_second_set_ui.value + ) axs[_index, 1].set_title(f"Mean {list_pvs[_pv_key]['label']}") - axs[_index, 1].set_ylabel(list_pvs[_pv_key]['label']) + axs[_index, 1].set_ylabel(list_pvs[_pv_key]["label"]) axs[_index, 1].set_xlabel("Nexus file index") - axs[_index, 1].set_xticks(range(len(self.list_mean_data_second_set[_pv_key])), - labels=self.list_nexus_second_set, - rotation=90) + axs[_index, 1].set_xticks( + range(len(self.list_mean_data_second_set[_pv_key])), labels=self.list_nexus_second_set, rotation=90 + ) axs[_index, 1].legend() - + plt.tight_layout() plt.show() def display_average_metadata(self): + fig, axs = plt.subplots( + nrows=len(list_pvs.keys()), + ncols=1, + num="Venus Metadata", + figsize=(10, 4 * len(list_pvs.keys())), + ) + + for _index, _pv_key in enumerate(self.list_mean_data.keys()): + axs[_index].plot(self.list_mean_data[_pv_key], "o-", label=self.legend_ui.value) + axs[_index].set_title(f"Mean {list_pvs[_pv_key]['label']}") + axs[_index].set_ylabel(list_pvs[_pv_key]["label"]) + axs[_index].set_xlabel("Nexus file index") + axs[_index].set_xticks(range(len(self.list_mean_data[_pv_key])), labels=self.list_nexus, rotation=90) + axs[_index].legend() - fig, axs = plt.subplots(nrows=len(list_pvs.keys()), ncols=1, num="Venus Metadata", - figsize=(10, 4*len(list_pvs.keys())), - ) - - for _index, _pv_key in enumerate(self.list_mean_data.keys()): - - axs[_index].plot(self.list_mean_data[_pv_key], 'o-', label=self.legend_ui.value) - axs[_index].set_title(f"Mean {list_pvs[_pv_key]['label']}") - axs[_index].set_ylabel(list_pvs[_pv_key]['label']) - axs[_index].set_xlabel("Nexus file index") - axs[_index].set_xticks(range(len(self.list_mean_data[_pv_key])), labels=self.list_nexus, rotation=90) - axs[_index].legend() - - plt.tight_layout() - plt.show() + plt.tight_layout() + plt.show() def select_event_nexus_second_set(self, display_average_metadata=False): self.display_average_metadata = display_average_metadata - self.legend_second_set_ui = widgets.Text(value="", - placeholder='Type your legend here', - description='Legend:', - disabled=False) + self.legend_second_set_ui = widgets.Text( + value="", placeholder="Type your legend here", description="Legend:", disabled=False + ) display(self.legend_second_set_ui) - start_dir = os.path.join(self.working_dir, 'nexus') - - self.nexus_ui = fileselector.FileSelectorPanel(instruction='Select NeXus file ...', - start_dir=start_dir, - next=self.load_metadata_second_set, - filters={'NeXus': ".h5"}, - multiple=True, - stay_alive=False, - sort_in_reverse=True, - sort_by_alphabetical=True) + start_dir = os.path.join(self.working_dir, "nexus") + + self.nexus_ui = fileselector.FileSelectorPanel( + instruction="Select NeXus file ...", + start_dir=start_dir, + next=self.load_metadata_second_set, + filters={"NeXus": ".h5"}, + multiple=True, + stay_alive=False, + sort_in_reverse=True, + sort_by_alphabetical=True, + ) self.nexus_ui.show() - def load_metadata_second_set(self, list_nexus_file_name): + def load_metadata_second_set(self, list_nexus_file_name): dict_data, list_mean_data, list_nexus = self._load_metadata(list_nexus_file_name) self.dict_data_second_set = dict_data self.list_mean_data_second_set = list_mean_data @@ -188,22 +189,21 @@ def _load_metadata(self, list_nexus_file_name): list_nexus_file_name.sort() logging.info(f"working with {list_nexus_file_name}") - + list_nexus = [] list_mean_data = {_key: [] for _key in list_pvs.keys()} - + dict_data = {os.path.basename(_nexus).split(".")[0]: {} for _nexus in list_nexus_file_name} for _nexus in list_nexus_file_name: - _base_nexus = os.path.basename(_nexus) _split_base_nexus = _base_nexus.split(".") _short_name_nexus = _split_base_nexus[0] list_nexus.append(os.path.basename(_short_name_nexus)) - + for _pv_key in list_pvs.keys(): - _pv_path = list_pvs[_pv_key]['path'] - _pv_label = list_pvs[_pv_key]['label'] + _pv_path = list_pvs[_pv_key]["path"] + _pv_label = list_pvs[_pv_key]["label"] try: _value = VenusDisplayMetadataFromHdf5.value_of_pv_path(_nexus, _pv_path) _mean_value = VenusDisplayMetadataFromHdf5.mean_value_of_pv_path(_nexus, _pv_path) @@ -213,7 +213,7 @@ def _load_metadata(self, list_nexus_file_name): except KeyError: logging.error(f"Error loading {_pv_label} from {_short_name_nexus}") _value = None - list_mean_data[_pv_key].append(None) - dict_data[_short_name_nexus][_pv_key] = None + list_mean_data[_pv_key].append(None) + dict_data[_short_name_nexus][_pv_key] = None return dict_data, list_mean_data, list_nexus diff --git a/notebooks/__code/venus_list_of_nexus_with_pc_above_threshold/main.py b/notebooks/__code/venus_list_of_nexus_with_pc_above_threshold/main.py index 31d5687b..be9f86fc 100755 --- a/notebooks/__code/venus_list_of_nexus_with_pc_above_threshold/main.py +++ b/notebooks/__code/venus_list_of_nexus_with_pc_above_threshold/main.py @@ -1,21 +1,15 @@ -import os import logging +import os + import h5py -import numpy as np -import matplotlib.pyplot as plt -from ipywidgets import interactive import ipywidgets as widgets -from IPython.display import display, HTML -import algotom.io.loadersaver as losa - +import numpy as np +from IPython.display import display from neutronbraggedge.experiment_handler import * -from neutronbraggedge.braggedge import BraggEdge as BraggEdgeLibrary from __code._utilities.file import get_full_home_file_name from __code._utilities.json import save_json -from __code._utilities import LAMBDA, MICRO, ANGSTROMS from __code.ipywe import fileselector -from __code.file_folder_browser import FileFolderBrowser LOG_FILE_NAME = ".venus_monitor_hdf5.log" @@ -23,48 +17,49 @@ class VenusNexusListPCAboveThreshold: - list_nexus_with_missing_key = [] def __init__(self, working_dir=None): self.working_dir = working_dir self.log_file_name = get_full_home_file_name(LOG_FILE_NAME) - logging.basicConfig(filename=self.log_file_name, - filemode='w', - format='[%(levelname)s] - %(asctime)s - %(message)s', - level=logging.INFO) + logging.basicConfig( + filename=self.log_file_name, + filemode="w", + format="[%(levelname)s] - %(asctime)s - %(message)s", + level=logging.INFO, + ) logging.info("*** Starting a new session ***") def proton_charge_threshold(self): - pc_ui = widgets.VBox([ - widgets.Label("Proton charge threshold (C):", - layout=widgets.Layout(width='50%')), - widgets.FloatText(1, - layout=widgets.Layout(width='200px')), - ]) + pc_ui = widgets.VBox( + [ + widgets.Label("Proton charge threshold (C):", layout=widgets.Layout(width="50%")), + widgets.FloatText(1, layout=widgets.Layout(width="200px")), + ] + ) display(pc_ui) self.proton_charge_threshold_ui = pc_ui.children[1] def select_list_nexus(self): - - start_dir = os.path.join(self.working_dir, 'nexus') - - self.nexus_ui = fileselector.FileSelectorPanel(instruction='Select NeXus files ...', - start_dir=start_dir, - next=self.check_proton_charge_value, - filters={'NeXus': ".h5"}, - multiple=True, - sort_by_time=True, - sort_in_reverse=True) + start_dir = os.path.join(self.working_dir, "nexus") + + self.nexus_ui = fileselector.FileSelectorPanel( + instruction="Select NeXus files ...", + start_dir=start_dir, + next=self.check_proton_charge_value, + filters={"NeXus": ".h5"}, + multiple=True, + sort_by_time=True, + sort_in_reverse=True, + ) self.nexus_ui.show() def check_proton_charge_value(self, list_nexus_files): self.retrieve_proton_charge_value(list_nexus_files) - self.list_good_nexus() - - def retrieve_proton_charge_value(self, list_nexus_files): + self.list_good_nexus() + def retrieve_proton_charge_value(self, list_nexus_files): print("Retrieving proton charge value ...", end="") # key is the nexus file name # value is the proton charge @@ -72,36 +67,32 @@ def retrieve_proton_charge_value(self, list_nexus_files): list_nexus_with_missing_key = [] for _nexus in list_nexus_files: - - with h5py.File(_nexus, 'r') as nxs: - + with h5py.File(_nexus, "r") as nxs: try: - _proton_charge = nxs['entry']['proton_charge'][()][0] + _proton_charge = nxs["entry"]["proton_charge"][()][0] _proton_charge *= 1e-12 # go to Coulomb except KeyError: self.list_nexus_with_missing_key.append(_nexus) _proton_charge = np.nan - + file_name_proton_charge_dict[_nexus] = _proton_charge self.file_name_proton_charge_dict = file_name_proton_charge_dict print(" done!") def list_good_nexus(self): - self.list_good_nexus = [] print("Listing good nexus:") _threshold = self.proton_charge_threshold_ui.value _dict = self.file_name_proton_charge_dict for _nexus in _dict.keys(): - if _dict[_nexus] >= _threshold: self.list_good_nexus.append(_nexus) print(f"{_nexus}: {_dict[_nexus]}") - print("Done!") + print("Done!") def export_good_nexus(self): - shared_folder = os.path.join(self.working_dir, 'shared', 'processed_data') + shared_folder = os.path.join(self.working_dir, "shared", "processed_data") threshold = f"{self.proton_charge_threshold_ui.value:.2f}" threshold = threshold.replace(".", "_") file_name = os.path.join(shared_folder, f"nexus_above_{threshold}.json") diff --git a/notebooks/__code/venus_monitor_hdf5/main.py b/notebooks/__code/venus_monitor_hdf5/main.py index 21f5974e..ba6889e5 100755 --- a/notebooks/__code/venus_monitor_hdf5/main.py +++ b/notebooks/__code/venus_monitor_hdf5/main.py @@ -1,22 +1,17 @@ -import os import logging +import os + import h5py -import numpy as np +import ipywidgets as widgets import matplotlib.pyplot as plt +import numpy as np +from IPython.display import HTML, display from ipywidgets import interactive -import ipywidgets as widgets -from IPython.display import display, HTML -import algotom.io.loadersaver as losa - from neutronbraggedge.experiment_handler import * -from neutronbraggedge.braggedge import BraggEdge as BraggEdgeLibrary -from __code._utilities.file import get_full_home_file_name -from __code._utilities.file import make_ascii_file +from __code._utilities.file import get_full_home_file_name, make_ascii_file from __code._utilities.time import get_current_time_in_special_file_name_format -from __code._utilities import LAMBDA, MICRO, ANGSTROMS from __code.ipywe import fileselector -from __code.file_folder_browser import FileFolderBrowser from __code.ipywe.myfileselector import FileSelectorPanelWithJumpFolders LOG_FILE_NAME = ".venus_monitor_hdf5.log" @@ -25,51 +20,52 @@ class VenusMonitorHdf5: - def __init__(self, working_dir=None): self.working_dir = working_dir self.log_file_name = get_full_home_file_name(LOG_FILE_NAME) - logging.basicConfig(filename=self.log_file_name, - filemode='w', - format='[%(levelname)s] - %(asctime)s - %(message)s', - level=logging.INFO) + logging.basicConfig( + filename=self.log_file_name, + filemode="w", + format="[%(levelname)s] - %(asctime)s - %(message)s", + level=logging.INFO, + ) logging.info("*** Starting a new session ***") def select_event_nexus(self): - self.record_settings() - start_dir = os.path.join(self.working_dir, 'nexus') - - self.nexus_ui = fileselector.FileSelectorPanel(instruction='Select NeXus file ...', - start_dir=start_dir, - next=self.load_data, - filters={'NeXus': ".h5"}, - multiple=True, - stay_alive=False, - sort_in_reverse=True, - sort_by_alphabetical=True) + start_dir = os.path.join(self.working_dir, "nexus") + + self.nexus_ui = fileselector.FileSelectorPanel( + instruction="Select NeXus file ...", + start_dir=start_dir, + next=self.load_data, + filters={"NeXus": ".h5"}, + multiple=True, + stay_alive=False, + sort_in_reverse=True, + sort_by_alphabetical=True, + ) self.nexus_ui.show() def load_data(self, list_nexus_file_name): - list_data = {} for _nexus in list_nexus_file_name: - try: - - with h5py.File(_nexus, 'r') as nxs: - _index = np.array(nxs['entry']['monitor1']['event_index']) - _time_offset = np.array(nxs['entry']['monitor1']['event_time_offset']) - _time_zero = np.array(nxs['entry']['monitor1']['event_time_zero'])*10 # to convert to 100ns units - _total_counts = nxs['entry']['monitor1']['total_counts'][()] - - list_data[_nexus] = {'event_index': _index, - 'event_time_offset': _time_offset, - 'event_time_zero': _time_zero, - 'total_counts': _total_counts} + with h5py.File(_nexus, "r") as nxs: + _index = np.array(nxs["entry"]["monitor1"]["event_index"]) + _time_offset = np.array(nxs["entry"]["monitor1"]["event_time_offset"]) + _time_zero = np.array(nxs["entry"]["monitor1"]["event_time_zero"]) * 10 # to convert to 100ns units + _total_counts = nxs["entry"]["monitor1"]["total_counts"][()] + + list_data[_nexus] = { + "event_index": _index, + "event_time_offset": _time_offset, + "event_time_zero": _time_zero, + "total_counts": _total_counts, + } except KeyError: display(HTML("Error loading the monitor data!
Entry is missing!")) @@ -79,56 +75,44 @@ def load_data(self, list_nexus_file_name): self.display_all_at_once() def define_settings(self): - # bins - bins_label = widgets.Label(u"Bins size (\u00B5s)") - bins_label = widgets.Label(u"Bins size (100ns)") - self.bins_ui = widgets.IntSlider(min=1, - max=10000, - value=100) - bins_layout = widgets.HBox([bins_label, - self.bins_ui]) + bins_label = widgets.Label("Bins size (\u00b5s)") + bins_label = widgets.Label("Bins size (100ns)") + self.bins_ui = widgets.IntSlider(min=1, max=10000, value=100) + bins_layout = widgets.HBox([bins_label, self.bins_ui]) # distance - distance_lock = widgets.Checkbox(False, - layout=widgets.Layout(width="150px")) - distance_label = widgets.Label("Distance source_monitor", - layout=widgets.Layout(width="200px"), - disabled=True) - self.distance_source_detector_ui = widgets.FloatText(value=25, - layout=widgets.Layout(width="100px"), - disabled=True) + distance_lock = widgets.Checkbox(False, layout=widgets.Layout(width="150px")) + distance_label = widgets.Label("Distance source_monitor", layout=widgets.Layout(width="200px"), disabled=True) + self.distance_source_detector_ui = widgets.FloatText( + value=25, layout=widgets.Layout(width="100px"), disabled=True + ) distance_units_label = widgets.Label("m") - distance_layout = widgets.HBox([distance_lock, - distance_label, - self.distance_source_detector_ui, - distance_units_label]) + distance_layout = widgets.HBox( + [distance_lock, distance_label, self.distance_source_detector_ui, distance_units_label] + ) def lock_changed(changes): - new_value = changes['new'] + new_value = changes["new"] self.distance_source_detector_ui.disabled = not new_value - distance_lock.observe(lock_changed, names='value') - + distance_lock.observe(lock_changed, names="value") # monitor offset - monitor_label = widgets.Label("Monitor offset", - layout=widgets.Layout(width='100px')) - self.monitor_offset_ui = widgets.FloatText(value=0, - layout=widgets.Layout(width="100px"), - disabled=True, - ) - monitor_units = widgets.Label(u"\u00B5s") - monitor_layout = widgets.HBox([monitor_label, - self.monitor_offset_ui, - monitor_units], - ) + monitor_label = widgets.Label("Monitor offset", layout=widgets.Layout(width="100px")) + self.monitor_offset_ui = widgets.FloatText( + value=0, + layout=widgets.Layout(width="100px"), + disabled=True, + ) + monitor_units = widgets.Label("\u00b5s") + monitor_layout = widgets.HBox( + [monitor_label, self.monitor_offset_ui, monitor_units], + ) # full layout - full_layout = widgets.VBox([bins_layout, - distance_layout, - monitor_layout]) + full_layout = widgets.VBox([bins_layout, distance_layout, monitor_layout]) display(full_layout) @@ -137,7 +121,7 @@ def record_settings(self): self.distance_source_detector_m = self.distance_source_detector_ui.value self.detector_offset_micros = self.monitor_offset_ui.value - def calculate_data_tof(self, time_offset=None, max_bin=2*16666): + def calculate_data_tof(self, time_offset=None, max_bin=2 * 16666): bins_size = self.bins_size histo_tof, bins_tof = np.histogram(time_offset, bins=np.arange(0, max_bin, bins_size)) detector_offset_micros = self.detector_offset_micros @@ -149,25 +133,25 @@ def calculate_data_tof(self, time_offset=None, max_bin=2*16666): def calculate_data_lambda(self, bins_tof=None): tof_axis = bins_tof[:-1] # detector_offset_micros = self.detector_offset_micros - distance_source_detector_cm = self.distance_source_detector_m * 100. + distance_source_detector_cm = self.distance_source_detector_m * 100.0 - lambda_axis_angstroms = VenusMonitorHdf5.from_micros_to_lambda(tof_axis_micros=tof_axis, - distance_source_detector_cm=distance_source_detector_cm) + lambda_axis_angstroms = VenusMonitorHdf5.from_micros_to_lambda( + tof_axis_micros=tof_axis, distance_source_detector_cm=distance_source_detector_cm + ) return lambda_axis_angstroms def calculate_data_energy(self): lambda_axis_angstroms = self.lambda_axis_angstroms - self.energy_axis_ev = 1000 * (ENERGY_CONVERSION_FACTOR / (lambda_axis_angstroms*lambda_axis_angstroms)) + self.energy_axis_ev = 1000 * (ENERGY_CONVERSION_FACTOR / (lambda_axis_angstroms * lambda_axis_angstroms)) @staticmethod def from_micros_to_lambda(tof_axis_micros, distance_source_detector_cm=2372.6): return 0.3954 * (tof_axis_micros) / distance_source_detector_cm def display_all_at_once(self): - list_data = self.list_data - - plt.rcParams['figure.constrained_layout.use'] = True + + plt.rcParams["figure.constrained_layout.use"] = True # fig, ax = plt.subplots(nrows=1, ncols=2, num=f"Nexus Monitors", # figsize=(10, 5), # ) @@ -181,36 +165,36 @@ def display_all_at_once(self): # ax[1].set_title(u"Counts vs lambda (\u212B)") def plot_data(max_bin): - fig, ax = plt.subplots(nrows=2, ncols=1, num=f"Nexus Monitors", - figsize=(10, 10), - ) + fig, ax = plt.subplots( + nrows=2, + ncols=1, + num="Nexus Monitors", + figsize=(10, 10), + ) - ax[0].set_xlabel(u"TOF (\u00B5s)") + ax[0].set_xlabel("TOF (\u00b5s)") ax[0].set_ylabel("Counts") - ax[0].set_title(u"Counts vs TOF(\u00B5s)") + ax[0].set_title("Counts vs TOF(\u00b5s)") - ax[1].set_xlabel(u"Lambda (\u212B)") + ax[1].set_xlabel("Lambda (\u212b)") ax[1].set_ylabel("Total counts") - ax[1].set_title(u"Counts vs lambda (\u212B)") - + ax[1].set_title("Counts vs lambda (\u212b)") for _key in list_data.keys(): - if list_data[_key] is None: continue - time_offset = list_data[_key]['event_time_offset'] - bins_tof, histo_tof = self.calculate_data_tof(time_offset=time_offset, - max_bin=max_bin) - self.list_data[_key]['bins_tof'] = bins_tof - self.list_data[_key]['histo_tof'] = histo_tof + time_offset = list_data[_key]["event_time_offset"] + bins_tof, histo_tof = self.calculate_data_tof(time_offset=time_offset, max_bin=max_bin) + self.list_data[_key]["bins_tof"] = bins_tof + self.list_data[_key]["histo_tof"] = histo_tof lambda_axis_angstroms = self.calculate_data_lambda(bins_tof=bins_tof) - self.list_data[_key]['lambda_axis_angstroms'] = lambda_axis_angstroms + self.list_data[_key]["lambda_axis_angstroms"] = lambda_axis_angstroms # self.calculate_data_energy() nexus = os.path.basename(_key) - #ax[0].plot(bins_tof[:-1], histo_tof, label=nexus) + # ax[0].plot(bins_tof[:-1], histo_tof, label=nexus) ax[0].semilogy(bins_tof[:-1], histo_tof, label=nexus) ax[1].plot(lambda_axis_angstroms, histo_tof, label=nexus) @@ -227,73 +211,68 @@ def plot_data(max_bin): for _key in list_data.keys(): print(f"{os.path.basename(_key)}: {self.list_data[_key]['total_counts'][0]}") - display_all = interactive(plot_data, - max_bin=widgets.IntSlider(min=16666, - max=5*16666, - value=3*16666)) + display_all = interactive(plot_data, max_bin=widgets.IntSlider(min=16666, max=5 * 16666, value=3 * 16666)) display(display_all) -# def display_all_at_once(self): + # def display_all_at_once(self): -# list_data = self.list_data - -# plt.rcParams['figure.constrained_layout.use'] = True -# fig, ax = plt.subplots(nrows=1, ncols=2, num=f"Nexus Monitors", -# figsize=(10, 5), -# ) + # list_data = self.list_data -# ax[0].set_xlabel(u"TOF (\u00B5s)") -# ax[0].set_ylabel("Counts") -# ax[0].set_title(u"Counts vs TOF(\u00B5s)") + # plt.rcParams['figure.constrained_layout.use'] = True + # fig, ax = plt.subplots(nrows=1, ncols=2, num=f"Nexus Monitors", + # figsize=(10, 5), + # ) -# ax[1].set_xlabel(u"Lambda (\u212B)") -# ax[1].set_ylabel("Total counts") -# ax[1].set_title(u"Counts vs lambda (\u212B)") + # ax[0].set_xlabel(u"TOF (\u00B5s)") + # ax[0].set_ylabel("Counts") + # ax[0].set_title(u"Counts vs TOF(\u00B5s)") -# for _key in list_data.keys(): + # ax[1].set_xlabel(u"Lambda (\u212B)") + # ax[1].set_ylabel("Total counts") + # ax[1].set_title(u"Counts vs lambda (\u212B)") -# if list_data[_key] is None: -# continue + # for _key in list_data.keys(): -# time_offset = list_data[_key]['event_time_offset'] -# bins_tof, histo_tof = self.calculate_data_tof(time_offset=time_offset) -# self.list_data[_key]['bins_tof'] = bins_tof -# self.list_data[_key]['histo_tof'] = histo_tof -# lambda_axis_angstroms = self.calculate_data_lambda(bins_tof=bins_tof) -# self.list_data[_key]['lambda_axis_angstroms'] = lambda_axis_angstroms + # if list_data[_key] is None: + # continue -# # self.calculate_data_energy() + # time_offset = list_data[_key]['event_time_offset'] + # bins_tof, histo_tof = self.calculate_data_tof(time_offset=time_offset) + # self.list_data[_key]['bins_tof'] = bins_tof + # self.list_data[_key]['histo_tof'] = histo_tof + # lambda_axis_angstroms = self.calculate_data_lambda(bins_tof=bins_tof) + # self.list_data[_key]['lambda_axis_angstroms'] = lambda_axis_angstroms -# nexus = os.path.basename(_key) -# ax[0].plot(bins_tof[:-1], histo_tof, label=nexus) -# ax[1].plot(lambda_axis_angstroms, histo_tof, 'r', label=nexus) + # # self.calculate_data_energy() -# ax[0].legend() -# ax[1].legend() + # nexus = os.path.basename(_key) + # ax[0].plot(bins_tof[:-1], histo_tof, label=nexus) + # ax[1].plot(lambda_axis_angstroms, histo_tof, 'r', label=nexus) -# # ax[2].plot(self.energy_axis_ev, self.histo_tof, '*g') -# # ax[2].set_xlabel("Energy (eV)") -# # ax[2].set_ylabel("Total counts") -# # ax[2].set_title("Counts vs Energy (eV)") + # ax[0].legend() + # ax[1].legend() -# display(HTML("

Total counts:

")) -# for _key in list_data.keys(): -# print(f"{os.path.basename(_key)}: {self.list_data[_key]['total_counts'][0]}") + # # ax[2].plot(self.energy_axis_ev, self.histo_tof, '*g') + # # ax[2].set_xlabel("Energy (eV)") + # # ax[2].set_ylabel("Total counts") + # # ax[2].set_title("Counts vs Energy (eV)") + + # display(HTML("

Total counts:

")) + # for _key in list_data.keys(): + # print(f"{os.path.basename(_key)}: {self.list_data[_key]['total_counts'][0]}") def export_data(self): + start_dir = os.path.join(self.working_dir, "shared") + my_folder_selector = FileSelectorPanelWithJumpFolders( + start_dir=start_dir, + type="directory", + next=self.export, + ipts_folder=self.working_dir, + newdir_toolbar_button=True, + ) - start_dir = os.path.join(self.working_dir, 'shared') - my_folder_selector = FileSelectorPanelWithJumpFolders(start_dir=start_dir, - type='directory', - next=self.export, - ipts_folder=self.working_dir, - newdir_toolbar_button=True, - ) - def export(self, output_folder=None): - for _nexus in self.list_data.keys(): - output_folder = os.path.abspath(output_folder) base_nexus_file_name = os.path.basename(_nexus) split_nexus_file_name = base_nexus_file_name.split(".") @@ -301,22 +280,25 @@ def export(self, output_folder=None): output_file_name = f"{split_nexus_file_name[0]}_monitor_data_{time_stamp}.txt" full_output_file_name = os.path.join(output_folder, output_file_name) - tof_axis = self.list_data[_nexus]['bins_tof']/10 - lambda_axis = self.list_data[_nexus]['lambda_axis_angstroms'] - y_axis = self.list_data[_nexus]['histo_tof'] + tof_axis = self.list_data[_nexus]["bins_tof"] / 10 + lambda_axis = self.list_data[_nexus]["lambda_axis_angstroms"] + y_axis = self.list_data[_nexus]["histo_tof"] - metadata_array = [f"# tof (\u00B5s), \u03BB (\u212B), Counts", - f"# nexus: {base_nexus_file_name}", - f"# IPTS: {self.working_dir}"] + metadata_array = [ + "# tof (\u00b5s), \u03bb (\u212b), Counts", + f"# nexus: {base_nexus_file_name}", + f"# IPTS: {self.working_dir}", + ] output_array = [] - for _t, _l, _y in zip(tof_axis, lambda_axis, y_axis): + for _t, _l, _y in zip(tof_axis, lambda_axis, y_axis, strict=False): output_array.append([_t, _l, _y]) - make_ascii_file(data=output_array, - metadata=metadata_array, - dim='2d', - sep=',', - output_file_name=full_output_file_name, + make_ascii_file( + data=output_array, + metadata=metadata_array, + dim="2d", + sep=",", + output_file_name=full_output_file_name, ) display(HTML(f"Data have been exported in {full_output_file_name}")) diff --git a/notebooks/__code/water_intake_profile_calculator.py b/notebooks/__code/water_intake_profile_calculator.py index 04271b47..98143141 100755 --- a/notebooks/__code/water_intake_profile_calculator.py +++ b/notebooks/__code/water_intake_profile_calculator.py @@ -1,39 +1,44 @@ -from IPython.display import HTML -from IPython.display import display -from ipywidgets import widgets - -import numpy as np +import glob import os import re -import glob -from scipy.special import erf -from scipy.optimize import curve_fit -from changepy import pelt -from changepy.costs import normal_var +import numpy as np import pyqtgraph as pg -from pyqtgraph.dockarea import * - -from qtpy.QtWidgets import (QFileDialog, QMainWindow, QLabel, QHBoxLayout, QSpacerItem, QProgressBar, - QPushButton, QVBoxLayout, QSlider, QSizePolicy, QWidget, QTableWidgetItem, - QApplication) -from qtpy import QtGui -from qtpy import QtCore - +from changepy import pelt +from changepy.costs import normal_var +from IPython.display import HTML, display +from ipywidgets import widgets from NeuNorm.normalization import Normalization +from pyqtgraph.dockarea import * +from qtpy import QtCore, QtGui +from qtpy.QtWidgets import ( + QApplication, + QFileDialog, + QHBoxLayout, + QLabel, + QMainWindow, + QProgressBar, + QPushButton, + QSizePolicy, + QSlider, + QSpacerItem, + QTableWidgetItem, + QVBoxLayout, + QWidget, +) +from scipy.optimize import curve_fit +from scipy.special import erf from __code import load_ui -from __code.file_handler import make_ascii_file -from __code.ipywe import fileselector -from __code.file_handler import retrieve_time_stamp from __code.file_format_reader import DscReader -from __code.ui_water_intake_profile import Ui_MainWindow as UiMainWindow +from __code.file_handler import make_ascii_file, retrieve_time_stamp +from __code.ipywe import fileselector class MeanRangeCalculation: - ''' + """ Mean value of all the counts between left_pixel and right pixel - ''' + """ def __init__(self, data=None): self.data = data @@ -43,8 +48,8 @@ def calculate_left_right_mean(self, pixel=-1): _data = self.data _nbr_pixel = self.nbr_pixel - self.left_mean = np.nanmean(_data[0:pixel+1]) - self.right_mean = np.nanmean(_data[pixel+1:_nbr_pixel]) + self.left_mean = np.nanmean(_data[0 : pixel + 1]) + self.right_mean = np.nanmean(_data[pixel + 1 : _nbr_pixel]) def calculate_delta_mean_square(self): self.delta_square = np.square(self.left_mean - self.right_mean) @@ -53,7 +58,7 @@ def calculate_delta_mean_square(self): class WaterIntakeHandler: """This class calculates the water intake position of a set of profiles""" - dict_profiles = {} # {'0': {'data': [], 'delta_time': 45455}, '1': {...} ...} + dict_profiles = {} # {'0': {'data': [], 'delta_time': 45455}, '1': {...} ...} water_intake_peak_sliding_average = [] water_intake_peak_erf = [] @@ -64,22 +69,22 @@ class WaterIntakeHandler: # fitting by error function requires that the signal goes from max to min values is_data_from_max_to_min = True - def __init__(self, dict_profiles={}, ignore_first_image=True, algorithm_selected='sliding_average'): + def __init__(self, dict_profiles={}, ignore_first_image=True, algorithm_selected="sliding_average"): self.dict_profiles = dict_profiles self.ignore_first_image = ignore_first_image - if algorithm_selected == 'sliding_average': + if algorithm_selected == "sliding_average": self.calculate_using_sliding_average() - elif algorithm_selected == 'error_function': + elif algorithm_selected == "error_function": self.calculate_using_erf() - elif algorithm_selected == 'change_point': + elif algorithm_selected == "change_point": self.calculate_change_point() else: raise ValueError("algorithm not implemented yet!") @staticmethod def fitting_function(x, c, w, m, n): - return ((m-n)/2.) * erf((x-c)/w) + (m+n)/2. + return ((m - n) / 2.0) * erf((x - c) / w) + (m + n) / 2.0 def are_data_from_max_to_min(self, ydata): nbr_points = len(ydata) @@ -89,7 +94,7 @@ def are_data_from_max_to_min(self, ydata): ydata = ydata.copy() ydata_reversed = ydata[::-1] - mean_last_part = np.mean(ydata_reversed[0: nbr_point_for_investigation]) + mean_last_part = np.mean(ydata_reversed[0:nbr_point_for_investigation]) if mean_first_part > mean_last_part: return True @@ -102,7 +107,7 @@ def calculate_change_point(self): if self.ignore_first_image: _start_file = 1 - _end_file = nbr_files+1 + _end_file = nbr_files + 1 else: _start_file = 0 _end_file = nbr_files @@ -111,8 +116,8 @@ def calculate_change_point(self): water_intake_deltatime = [] for _index_file in np.arange(_start_file, _end_file): _profile = _dict_profiles[str(_index_file)] - ydata = _profile['data'] - xdata = _profile['delta_time'] + ydata = _profile["data"] + xdata = _profile["delta_time"] var = np.mean(ydata) result = pelt(normal_var(ydata, var), len(ydata)) @@ -144,8 +149,8 @@ def calculate_using_erf(self): for _index_file in np.arange(_start_file, _end_file): _profile = _dict_profiles[str(_index_file)] - ydata = _profile['data'] - xdata = _profile['delta_time'] + ydata = _profile["data"] + xdata = _profile["delta_time"] is_data_from_max_to_min = self.are_data_from_max_to_min(ydata) self.is_data_from_max_to_min = is_data_from_max_to_min @@ -154,13 +159,10 @@ def calculate_using_erf(self): (popt, pcov) = self.fitting_algorithm(ydata) - _local_dict = {'c': popt[0], - 'w': popt[1], - 'm': popt[2], - 'n': popt[3]} + _local_dict = {"c": popt[0], "w": popt[1], "m": popt[2], "n": popt[3]} error = np.sqrt(np.diag(pcov)) - _peak = int(popt[0] + (popt[1]/np.sqrt(2))) + _peak = int(popt[0] + (popt[1] / np.sqrt(2))) water_intake_peaks_erf.append(_peak) for _i, _err in enumerate(error): @@ -171,7 +173,7 @@ def calculate_using_erf(self): else: error[_i] = _err - _peak_error = int(error[0] + (error[1]/np.sqrt(2))) + _peak_error = int(error[0] + (error[1] / np.sqrt(2))) water_intake_peaks_erf_error.append(_peak_error) delta_time.append(xdata) @@ -190,12 +192,12 @@ def fitting_algorithm(self, ydata): def calculate_using_sliding_average(self): _dict_profiles = self.dict_profiles - nbr_pixels = len(_dict_profiles['1']['data']) + nbr_pixels = len(_dict_profiles["1"]["data"]) nbr_files = len(_dict_profiles.keys()) if self.ignore_first_image: _start_file = 1 - _end_file = nbr_files+1 + _end_file = nbr_files + 1 else: _start_file = 0 _end_file = nbr_files @@ -204,16 +206,16 @@ def calculate_using_sliding_average(self): water_intake_peak = [] for _index_file in np.arange(_start_file, _end_file): _profile = _dict_profiles[str(_index_file)] - _profile_data = _profile['data'] - _delta_time = _profile['delta_time'] + _profile_data = _profile["data"] + _delta_time = _profile["delta_time"] delta_array = [] _o_range = MeanRangeCalculation(data=_profile_data) - for _pixel in np.arange(0, nbr_pixels-5): + for _pixel in np.arange(0, nbr_pixels - 5): _o_range.calculate_left_right_mean(pixel=_pixel) _o_range.calculate_delta_mean_square() delta_array.append(_o_range.delta_square) - peak_value = delta_array.index(max(delta_array[0: nbr_pixels -5])) + peak_value = delta_array.index(max(delta_array[0 : nbr_pixels - 5])) water_intake_peak.append(peak_value) water_intake_deltatime.append(_delta_time) @@ -222,21 +224,20 @@ def calculate_using_sliding_average(self): class WaterIntakeProfileSelector(QMainWindow): - list_data = [] dict_data = {} - dict_data_raw = {} # dict data untouched (not sorted) - list_images_raw = [] # use to reste dict_data + dict_data_raw = {} # dict data untouched (not sorted) + list_images_raw = [] # use to reste dict_data dict_water_intake = {} - dic_disc = {} # dictionary created when loading dsc folder + dic_disc = {} # dictionary created when loading dsc folder current_image = [] ignore_first_image_checked = True roi_width = 0.05 - roi = {'x0': 88, 'y0': 131, 'width': 142, 'height': 171} + roi = {"x0": 88, "y0": 131, "width": 142, "height": 171} table_column_width = [350, 150, 200] - dict_profiles = {} # contain all the profiles just before calculating the water intake + dict_profiles = {} # contain all the profiles just before calculating the water intake # by default, we integrate over the x-axis is_inte_along_x_axis = True @@ -251,26 +252,29 @@ class WaterIntakeProfileSelector(QMainWindow): # state of the image image_view_state = {} - algorithm_selected = 'sliding_average' + algorithm_selected = "sliding_average" def __init__(self, parent=None, dict_data={}): - - display(HTML('Check UI that popped up \ - (maybe hidden behind this browser!)')) + display( + HTML( + 'Check UI that popped up \ + (maybe hidden behind this browser!)' + ) + ) QMainWindow.__init__(self, parent=parent) - ui_full_path = os.path.join(os.path.dirname(os.path.dirname(__file__)), - os.path.join('ui', - 'ui_water_intake_profile.ui')) + ui_full_path = os.path.join( + os.path.dirname(os.path.dirname(__file__)), os.path.join("ui", "ui_water_intake_profile.ui") + ) self.ui = load_ui(ui_full_path, baseinstance=self) self.setWindowTitle("Water Intake Calculator") self.dict_data_raw = dict_data.copy() self.dict_data = dict_data.copy() - self.list_data = dict_data['list_data'].copy() - self.list_images_raw = dict_data['list_images'] + self.list_data = dict_data["list_data"].copy() + self.list_images_raw = dict_data["list_images"] self.working_dir = os.path.dirname(self.list_images_raw[0]) self.init_statusbar() @@ -338,9 +342,9 @@ def _init_pyqtgraph(self): d2 = Dock("Profile", size=(200, 100)) d3 = Dock("Water Intake", size=(200, 400)) - area.addDock(d1, 'top') - area.addDock(d2, 'bottom') - area.addDock(d3, 'right') + area.addDock(d1, "top") + area.addDock(d2, "bottom") + area.addDock(d3, "right") # image view self.ui.image_view = pg.ImageView(view=pg.PlotItem()) @@ -352,10 +356,10 @@ def _init_pyqtgraph(self): _pen = QtGui.QPen() _pen.setColor(_color) _pen.setWidthF(self.roi_width) - _x0 = self.roi['x0'] - _y0 = self.roi['y0'] - _width = self.roi['width'] - _height = self.roi['height'] + _x0 = self.roi["x0"] + _y0 = self.roi["y0"] + _width = self.roi["width"] + _height = self.roi["height"] _roi_id = pg.ROI([_x0, _y0], [_width, _height], pen=_pen, scaleSnap=True) _roi_id.addScaleHandle([1, 1], [0, 0]) _roi_id.addScaleHandle([0, 0], [1, 1]) @@ -365,14 +369,14 @@ def _init_pyqtgraph(self): d1.addWidget(self.ui.image_view) # profile - self.profile = pg.PlotWidget(title='Profile') + self.profile = pg.PlotWidget(title="Profile") self.profile.plot() self.profile_vline = pg.InfiniteLine(angle=90, movable=False) self.profile.addItem(self.profile_vline, ignoreBounds=True) d2.addWidget(self.profile) # water intake - self.water_intake = pg.PlotWidget(title='Water Intake') + self.water_intake = pg.PlotWidget(title="Water Intake") self.water_intake.plot() self.ui.water_intake_refresh_button = QPushButton("Refresh Water Intake Plot") self.ui.water_intake_refresh_button.clicked.connect(self.refresh_water_intake_plot_clicked) @@ -399,7 +403,7 @@ def _init_pyqtgraph(self): self.ui.file_index_slider.setTickPosition(QSlider.TicksBelow) self.ui.file_index_slider.setTickInterval(1) - self.ui.file_index_slider.valueChanged['int'].connect(self.slider_changed) + self.ui.file_index_slider.valueChanged["int"].connect(self.slider_changed) self.ui.file_index_value = QLabel() self.ui.file_index_value.setMinimumSize(QtCore.QSize(40, 30)) self.ui.file_index_value.setMaximumSize(QtCore.QSize(40, 30)) @@ -447,7 +451,6 @@ def _init_widgets(self, ignore_first_image=True, first_init=True): self.ui.file_index_slider.blockSignals(False) def update_infos_tab(self): - if self.ui.sort_files_by_name_radioButton.isChecked(): is_by_name = True else: @@ -455,16 +458,16 @@ def update_infos_tab(self): dict_data = self.dict_data - _time_column_label = 'Time Stamp (Unix format)' + _time_column_label = "Time Stamp (Unix format)" if is_by_name: - _time_column_label = 'Delta Time (s)' + _time_column_label = "Delta Time (s)" item = self.ui.tableWidget.horizontalHeaderItem(1) item.setText(_time_column_label) - list_files = dict_data['list_images'] - list_time_stamp = dict_data['list_time_stamp'] - list_time_stamp_user = dict_data['list_time_stamp_user_format'] + list_files = dict_data["list_images"] + list_time_stamp = dict_data["list_time_stamp"] + list_time_stamp_user = dict_data["list_time_stamp_user_format"] if self.ui.ignore_first_image_checkbox.isChecked(): list_files = list_files[1:] @@ -476,14 +479,11 @@ def update_infos_tab(self): for _row, _file_name in enumerate(list_files): _short_name = os.path.basename(_file_name) _time_stamp_unix = list_time_stamp[_row] - if is_by_name: #cleanup format - _time_stamp_unix = "{:.2f}".format(_time_stamp_unix) + if is_by_name: # cleanup format + _time_stamp_unix = f"{_time_stamp_unix:.2f}" _time_stamp_user = list_time_stamp_user[_row] - self.__insert_information_in_table(row=_row, - col0=_short_name, - col1=_time_stamp_unix, - col2=_time_stamp_user) + self.__insert_information_in_table(row=_row, col0=_short_name, col1=_time_stamp_unix, col2=_time_stamp_user) def __clear_infos_table(self): nbr_row = self.ui.tableWidget.rowCount() @@ -493,11 +493,11 @@ def __clear_infos_table(self): def __insert_information_in_table(self, row, col0, col1, col2): self.ui.tableWidget.insertRow(row) - #col0 + # col0 _item = QTableWidgetItem(str(str(col0))) self.ui.tableWidget.setItem(row, 0, _item) - #col1 + # col1 _item = QTableWidgetItem(str(str(col1))) self.ui.tableWidget.setItem(row, 1, _item) @@ -507,10 +507,10 @@ def __insert_information_in_table(self, row, col0, col1, col2): def update_labels(self): _roi = self.roi - _x0 = _roi['x0'] - _y0 = _roi['y0'] - _width = _roi['width'] - _height = _roi['height'] + _x0 = _roi["x0"] + _y0 = _roi["y0"] + _width = _roi["width"] + _height = _roi["height"] self.x0_value.setText(str(_x0)) self.y0_value.setText(str(_y0)) self.width_value.setText(str(_width)) @@ -537,18 +537,18 @@ def calculate_all_profiles(self): def get_profile_algo(self): if self.ui.add_radioButton.isChecked(): - return 'add' + return "add" elif self.ui.mean_radioButton.isChecked(): - return 'mean' + return "mean" elif self.ui.median_radioButton.isChecked(): - return 'median' - return '' + return "median" + return "" def get_algorithm_selected(self): if self.ui.sliding_average_checkBox.isChecked(): - return 'sliding_average' + return "sliding_average" elif self.ui.error_function_checkBox.isChecked(): - return 'error_function' + return "error_function" elif self.ui.change_point_checkBox.isChecked(): return "change_point" else: @@ -562,17 +562,19 @@ def update_water_intake_plot(self): self.calculate_all_profiles() - o_water_intake_handler = WaterIntakeHandler(dict_profiles=self.dict_profiles, - ignore_first_image=self.ui.ignore_first_image_checkbox.isChecked(), - algorithm_selected=algorithm_selected) + o_water_intake_handler = WaterIntakeHandler( + dict_profiles=self.dict_profiles, + ignore_first_image=self.ui.ignore_first_image_checkbox.isChecked(), + algorithm_selected=algorithm_selected, + ) pixel_size = self.ui.pixel_size_spinBox.value() - if algorithm_selected == 'sliding_average': + if algorithm_selected == "sliding_average": peak = o_water_intake_handler.water_intake_peak_sliding_average self.water_intake_peaks_sliding_average = peak.copy() delta_time = o_water_intake_handler.water_intake_deltatime - elif algorithm_selected == 'error_function': + elif algorithm_selected == "error_function": peak = o_water_intake_handler.water_intake_peaks_erf self.water_intake_peaks_erf = peak.copy() self.dict_error_function_parameters = o_water_intake_handler.dict_error_function_parameters @@ -582,12 +584,12 @@ def update_water_intake_plot(self): # due to the fact that the pixel reported may be from the right if self.is_inte_along_x_axis: if not self.is_data_from_max_to_min: - peak = [int(self.roi['height'] - _peak) for _peak in peak] + peak = [int(self.roi["height"] - _peak) for _peak in peak] else: if not self.is_data_from_max_to_min: - peak = [int(self.roi['width'] - peak) for peak in peak] + peak = [int(self.roi["width"] - peak) for peak in peak] - elif algorithm_selected == 'change_point': + elif algorithm_selected == "change_point": peak = o_water_intake_handler.water_intake_peaks_change_point self.water_intake_peaks_change_point = peak.copy() delta_time = o_water_intake_handler.water_intake_deltatime @@ -597,51 +599,46 @@ def update_water_intake_plot(self): # we want absolute pixel value if self.is_inte_along_x_axis: - peak = [_peak + int(self.roi['y0']) for _peak in peak] + peak = [_peak + int(self.roi["y0"]) for _peak in peak] else: - peak = [_peak + int(self.roi['x0']) for _peak in peak] + peak = [_peak + int(self.roi["x0"]) for _peak in peak] if self.ui.pixel_radioButton.isChecked(): # pixel - y_label = 'Pixel Position' + y_label = "Pixel Position" else: # distance peak = [float(_peak) * pixel_size for _peak in peak] - y_label = 'Distance (mm)' + y_label = "Distance (mm)" self.dict_water_intake = {} - self.dict_water_intake['xaxis'] = delta_time - self.dict_water_intake['yaxis'] = peak + self.dict_water_intake["xaxis"] = delta_time + self.dict_water_intake["yaxis"] = peak self.water_intake.clear() - if algorithm_selected == 'error_function': + if algorithm_selected == "error_function": error = o_water_intake_handler.dict_error_function_parameters_error top = error bottom = error peak = np.array(peak) - self.dict_water_intake['error'] = error + self.dict_water_intake["error"] = error # cleaning the error to make sure their values is not bigger than the peak value for _index, _err in enumerate(error): if _err > peak[_index]: error[_index] = np.sqrt(peak[_index]) - err = pg.ErrorBarItem(x=delta_time, - y=peak, - top=top, - bottom=bottom) + err = pg.ErrorBarItem(x=delta_time, y=peak, top=top, bottom=bottom) self.water_intake.addItem(err) - self.water_intake.plot(delta_time, peak, symbolPen=None, - pen=None, - symbol='o', - symbolBruch=(200,200,200,50)) + self.water_intake.plot( + delta_time, peak, symbolPen=None, pen=None, symbol="o", symbolBruch=(200, 200, 200, 50) + ) else: - self.water_intake.plot(delta_time, peak, symbolPen=None, - pen=None, - symbol='o', - symbolBruch=(200,200,200,50)) + self.water_intake.plot( + delta_time, peak, symbolPen=None, pen=None, symbol="o", symbolBruch=(200, 200, 200, 50) + ) - self.water_intake.setLabel('left', y_label) - self.water_intake.setLabel('bottom', 'Delta Time') + self.water_intake.setLabel("left", y_label) + self.water_intake.setLabel("bottom", "Delta Time") # QApplication.restoreOverrideCursor() @@ -654,62 +651,56 @@ def update_profile_plot_water_intake_peak(self): index_selected -= 1 algorithm_selected = self.get_algorithm_selected() - if algorithm_selected == 'sliding_average': + if algorithm_selected == "sliding_average": _water_intake_peaks = self.water_intake_peaks_sliding_average.copy() if self.is_inte_along_x_axis: - _offset = int(self.roi['y0']) + _offset = int(self.roi["y0"]) else: - _offset = int(self.roi['x0']) - peak_value = _water_intake_peaks[index_selected] +_offset - elif algorithm_selected == 'error_function': + _offset = int(self.roi["x0"]) + peak_value = _water_intake_peaks[index_selected] + _offset + elif algorithm_selected == "error_function": _water_intake_peaks = self.water_intake_peaks_erf.copy() is_data_from_max_to_min = self.is_data_from_max_to_min if self.is_inte_along_x_axis: if is_data_from_max_to_min: - peak_value = _water_intake_peaks[index_selected] + int(self.roi['y0']) + peak_value = _water_intake_peaks[index_selected] + int(self.roi["y0"]) else: - peak_value = int(self.roi['height'] + self.roi['y0'] - _water_intake_peaks[index_selected]) + peak_value = int(self.roi["height"] + self.roi["y0"] - _water_intake_peaks[index_selected]) else: if is_data_from_max_to_min: - peak_value = _water_intake_peaks[index_selected] + int(self.roi['x0']) + peak_value = _water_intake_peaks[index_selected] + int(self.roi["x0"]) else: - peak_value = int(self.roi['width'] + self.roi['x0'] - _water_intake_peaks[index_selected]) - elif algorithm_selected == 'change_point': + peak_value = int(self.roi["width"] + self.roi["x0"] - _water_intake_peaks[index_selected]) + elif algorithm_selected == "change_point": _water_intake_peaks = self.water_intake_peaks_change_point.copy() if self.is_inte_along_x_axis: - _offset = int(self.roi['y0']) + _offset = int(self.roi["y0"]) else: - _offset = int(self.roi['x0']) - peak_value = _water_intake_peaks[index_selected] +_offset + _offset = int(self.roi["x0"]) + peak_value = _water_intake_peaks[index_selected] + _offset else: - raise NotImplemented + raise NotImplementedError - self.profile_vline = pg.InfiniteLine(angle=90, movable=False, - pos=peak_value) + self.profile_vline = pg.InfiniteLine(angle=90, movable=False, pos=peak_value) self.profile.addItem(self.profile_vline, ignoreBounds=True) # display fitting function for error function - if self.get_algorithm_selected() == 'error_function': - - index_selected = self.ui.file_index_slider.value()-1 + if self.get_algorithm_selected() == "error_function": + index_selected = self.ui.file_index_slider.value() - 1 dict_error_function_parameters = self.dict_error_function_parameters.copy() # pprint.pprint(dict_error_function_parameters) _fit_parameters = dict_error_function_parameters[str(index_selected)] xdata = self.live_x_axis fitting_xdata = np.arange(len(xdata)) - ydata = WaterIntakeHandler.fitting_function(fitting_xdata, - _fit_parameters['c'], - _fit_parameters['w'], - _fit_parameters['m'], - _fit_parameters['n']) + ydata = WaterIntakeHandler.fitting_function( + fitting_xdata, _fit_parameters["c"], _fit_parameters["w"], _fit_parameters["m"], _fit_parameters["n"] + ) if not is_data_from_max_to_min: ydata = ydata[::-1] - self.profile.plot(xdata, ydata, pen=(255,0,0)) - - + self.profile.plot(xdata, ydata, pen=(255, 0, 0)) def export_profile_clicked(self): o_profile_handler = ProfileHandler(parent=self) @@ -725,21 +716,20 @@ def get_profile(self, image): _axis_to_integrate = 0 _algo_used = self.get_profile_algo() - if _algo_used == 'add': + if _algo_used == "add": _profile = np.sum(image, axis=_axis_to_integrate) - elif _algo_used == 'mean': + elif _algo_used == "mean": _profile = np.mean(image, axis=_axis_to_integrate) - elif _algo_used == 'median': + elif _algo_used == "median": _profile = np.median(image, axis=_axis_to_integrate) else: raise NotImplementedError return _profile def export_water_intake_clicked(self): - _export_folder = QFileDialog.getExistingDirectory(self, - directory=self.working_dir, - caption = 'Select Output Folder', - options = QFileDialog.ShowDirsOnly) + _export_folder = QFileDialog.getExistingDirectory( + self, directory=self.working_dir, caption="Select Output Folder", options=QFileDialog.ShowDirsOnly + ) if _export_folder: export_folder = os.path.abspath(_export_folder) @@ -747,8 +737,8 @@ def export_water_intake_clicked(self): if dict_water_intake == {}: return - x_axis = dict_water_intake['xaxis'] - y_axis = dict_water_intake['yaxis'] + x_axis = dict_water_intake["xaxis"] + y_axis = dict_water_intake["yaxis"] nbr_files = len(x_axis) @@ -756,55 +746,58 @@ def export_water_intake_clicked(self): _algo_used = self.get_profile_algo() _master_algo_used = self.get_algorithm_selected() _roi = self.roi - x0 = _roi['x0'] - y0 = _roi['y0'] - width = _roi['width'] - height = _roi['height'] + x0 = _roi["x0"] + y0 = _roi["y0"] + width = _roi["width"] + height = _roi["height"] - if _master_algo_used == 'error_function': - error = dict_water_intake['error'] + if _master_algo_used == "error_function": + error = dict_water_intake["error"] - list_images = self.dict_data['list_images'] + list_images = self.dict_data["list_images"] full_input_folder = os.path.dirname(list_images[0]) short_input_folder = os.path.basename(full_input_folder) yaxis_label = self.__get_water_intake_yaxis_label() - if yaxis_label == 'distance': + if yaxis_label == "distance": yaxis_label += "(mm)" if self.is_inte_along_x_axis: - inte_direction = 'x_axis' + inte_direction = "x_axis" else: - inte_direction = 'y_axis' + inte_direction = "y_axis" metadata = [] metadata.append("# Water Intake Signal ") - metadata.append("# roi [x0, y0, width, height]: [{}, {}, {}, {}]".format(x0, y0, width, height)) - metadata.append("# integration direction: {}".format(inte_direction)) - metadata.append("# input folder: {}".format(full_input_folder)) - metadata.append("# algorithm used: {}".format(_algo_used)) - metadata.append("# calculation used: {}".format(_master_algo_used)) + metadata.append(f"# roi [x0, y0, width, height]: [{x0}, {y0}, {width}, {height}]") + metadata.append(f"# integration direction: {inte_direction}") + metadata.append(f"# input folder: {full_input_folder}") + metadata.append(f"# algorithm used: {_algo_used}") + metadata.append(f"# calculation used: {_master_algo_used}") metadata.append("# ") - metadata.append("# Time(s), {}, error".format(yaxis_label)) + metadata.append(f"# Time(s), {yaxis_label}, error") - export_file_name = "water_intake_of_{}_with_{}input_files.txt".format(short_input_folder, nbr_files) + export_file_name = f"water_intake_of_{short_input_folder}_with_{nbr_files}input_files.txt" full_export_file_name = os.path.join(export_folder, export_file_name) - if _master_algo_used == 'error_function': - metadata.append("# Time(s), {}, error".format(yaxis_label)) - data = [ "{}, {}, {}".format(_x_axis, _y_axis, _error) for _x_axis, _y_axis, _error in zip(x_axis, y_axis, error)] + if _master_algo_used == "error_function": + metadata.append(f"# Time(s), {yaxis_label}, error") + data = [ + f"{_x_axis}, {_y_axis}, {_error}" + for _x_axis, _y_axis, _error in zip(x_axis, y_axis, error, strict=False) + ] else: - metadata.append("# Time(s), {}".format(yaxis_label)) - data = [ "{}, {}".format(_x_axis, _y_axis) for _x_axis, _y_axis, _error in zip(x_axis, y_axis)] + metadata.append(f"# Time(s), {yaxis_label}") + data = [f"{_x_axis}, {_y_axis}" for _x_axis, _y_axis, _error in zip(x_axis, y_axis, strict=False)] - display(HTML("Exported water intake file: {}".format(full_export_file_name))) - make_ascii_file(metadata=metadata, data=data, output_file_name=full_export_file_name, dim='1d') + display(HTML(f"Exported water intake file: {full_export_file_name}")) + make_ascii_file(metadata=metadata, data=data, output_file_name=full_export_file_name, dim="1d") def __get_water_intake_yaxis_label(self): if self.ui.pixel_radioButton.isChecked(): - return 'pixel' + return "pixel" else: - return 'distance' + return "distance" def roi_moved(self): region = self.roi_id.getArraySlice(self.current_image, self.ui.image_view.imageItem) @@ -814,18 +807,18 @@ def roi_moved(self): y0 = region[0][1].start y1 = region[0][1].stop - width = np.abs(x1-x0) - height = np.abs(y1-y0) - self.roi['x0'] = x0 - self.roi['y0'] = y0 - self.roi['width'] = width-1 - self.roi['height'] = height-1 + width = np.abs(x1 - x0) + height = np.abs(y1 - y0) + self.roi["x0"] = x0 + self.roi["y0"] = y0 + self.roi["width"] = width - 1 + self.roi["height"] = height - 1 self.update_labels() self.update_profile_plot() def _clean_image(self, image): _result_inf = np.where(np.isinf(image)) - image[_result_inf] = np.NaN + image[_result_inf] = np.nan return image def _force_range(self, image): @@ -836,7 +829,6 @@ def _force_range(self, image): # return image def update_image(self): - _view = self.ui.image_view.getView() _view_box = _view.getViewBox() _state = _view_box.getState() @@ -848,7 +840,7 @@ def update_image(self): self.histogram_level = _histo_widget.getLevels() index_selected = self.ui.file_index_slider.value() - _image = self.dict_data['list_data'][index_selected-1] + _image = self.dict_data["list_data"][index_selected - 1] _image = np.transpose(_image) _image = self._clean_image(_image) _image = self._force_range(_image) @@ -903,10 +895,10 @@ def __sort_files(self): self._reset_dict() dict_data = self.dict_data - list_images = np.array(dict_data['list_images'].copy()) - list_time_stamp = np.array(dict_data['list_time_stamp'].copy()) - list_time_stamp_user_format = np.array(dict_data['list_time_stamp_user_format'].copy()) - list_data = np.array(dict_data['list_data'].copy()) + list_images = np.array(dict_data["list_images"].copy()) + list_time_stamp = np.array(dict_data["list_time_stamp"].copy()) + list_time_stamp_user_format = np.array(dict_data["list_time_stamp_user_format"].copy()) + list_data = np.array(dict_data["list_data"].copy()) if is_by_name: sort_index = np.argsort(list_images) @@ -918,10 +910,10 @@ def __sort_files(self): sorted_list_time_stamp_user_format = list_time_stamp_user_format[sort_index] sorted_list_data = list_data[sort_index] - dict_data['list_images'] = list(sorted_list_images) - dict_data['list_time_stamp'] = list(sorted_list_time_stamp) - dict_data['list_time_stamp_user_format'] = list(sorted_list_time_stamp_user_format) - dict_data['list_data'] = sorted_list_data + dict_data["list_images"] = list(sorted_list_images) + dict_data["list_time_stamp"] = list(sorted_list_time_stamp) + dict_data["list_time_stamp_user_format"] = list(sorted_list_time_stamp_user_format) + dict_data["list_data"] = sorted_list_data self.dict_data = dict_data @@ -930,16 +922,15 @@ def __sort_files(self): delta_time = self.ui.time_between_runs_spinBox.value() nbr_files = len(list_images) new_time_stamp = np.arange(nbr_files) * delta_time - self.dict_data['list_time_stamp'] = new_time_stamp + self.dict_data["list_time_stamp"] = new_time_stamp def _reset_dict(self): self.dict_data = self.dict_data_raw.copy() def _fix_index_of_files(self): - """reformat file name to make sure index has 4 digits - """ + """reformat file name to make sure index has 4 digits""" _dict_data_raw = self.dict_data_raw - list_files = _dict_data_raw['list_images'].copy() + list_files = _dict_data_raw["list_images"].copy() formated_list_files = [] re_string = r"^(?P\w*)_(?P\d+)$" @@ -947,19 +938,19 @@ def _fix_index_of_files(self): dirname = os.path.dirname(_file) basename = os.path.basename(_file) [base, ext] = os.path.splitext(basename) - base = base.replace(" ","") # remove white spaces in name of file + base = base.replace(" ", "") # remove white spaces in name of file m = re.match(re_string, base) if m is None: raise ValueError else: - part1 = m.group('part1') - index = int(m.group('index')) - new_index = "{:04d}".format(index) - new_file = os.path.join(dirname, part1 + '_' + new_index + ext) + part1 = m.group("part1") + index = int(m.group("index")) + new_index = f"{index:04d}" + new_file = os.path.join(dirname, part1 + "_" + new_index + ext) formated_list_files.append(new_file) self.dict_data = self.dict_data_raw.copy() - self.dict_data['list_images'] = formated_list_files + self.dict_data["list_images"] = formated_list_files def time_between_runs_spinBox_changed(self): self.sorting_files_checkbox_clicked() @@ -968,46 +959,48 @@ def profile_algo_changed(self): self.update_profile_plot() def export_table_button_clicked(self): - _export_folder = QFileDialog.getExistingDirectory(self, - directory=self.working_dir, - caption = 'Select Output Folder', - options = QFileDialog.ShowDirsOnly) + _export_folder = QFileDialog.getExistingDirectory( + self, directory=self.working_dir, caption="Select Output Folder", options=QFileDialog.ShowDirsOnly + ) if _export_folder: export_folder = os.path.abspath(_export_folder) dict_data = self.dict_data - list_images = dict_data['list_images'] + list_images = dict_data["list_images"] input_folder = os.path.basename(os.path.dirname(list_images[0])) - output_file_name = os.path.join(export_folder, input_folder + '_sorting_table.txt') + output_file_name = os.path.join(export_folder, input_folder + "_sorting_table.txt") - list_time = dict_data['list_time_stamp'] - list_time_stamp_user_format = dict_data['list_time_stamp_user_format'] + list_time = dict_data["list_time_stamp"] + list_time_stamp_user_format = dict_data["list_time_stamp_user_format"] is_sorting_by_name = self.ui.sort_files_by_name_radioButton.isChecked() if is_sorting_by_name: - _time_label = 'Time Stamp (unix)' + _time_label = "Time Stamp (unix)" else: - _time_label = 'Delta Time (s)' + _time_label = "Delta Time (s)" - metadata = ["#File Name, {}, Time Stamp (user format)".format(_time_label)] - data = ["{}. {}, {}".format(_file, _time, _timer_user) for (_file, _time, _timer_user) in - zip(list_images, list_time, list_time_stamp_user_format)] + metadata = [f"#File Name, {_time_label}, Time Stamp (user format)"] + data = [ + f"{_file}. {_time}, {_timer_user}" + for (_file, _time, _timer_user) in zip( + list_images, list_time, list_time_stamp_user_format, strict=False + ) + ] - make_ascii_file(metadata=metadata, data=data, output_file_name=output_file_name, dim='1d') - display(HTML("Table has been exported in {}".format(output_file_name))) + make_ascii_file(metadata=metadata, data=data, output_file_name=output_file_name, dim="1d") + display(HTML(f"Table has been exported in {output_file_name}")) def import_dsc_clicked(self): - _dsc_folder = QFileDialog.getExistingDirectory(self, - directory=self.working_dir, - caption = 'Select Output Folder', - options = QFileDialog.ShowDirsOnly) + _dsc_folder = QFileDialog.getExistingDirectory( + self, directory=self.working_dir, caption="Select Output Folder", options=QFileDialog.ShowDirsOnly + ) if _dsc_folder: dsc_folder = os.path.abspath(_dsc_folder) list_dsc_files = glob.glob(os.path.join(dsc_folder, "*.dsc")) - o_dsc_reader = DscReader(list_files = list_dsc_files) + o_dsc_reader = DscReader(list_files=list_dsc_files) o_dsc_reader.read() o_dsc_reader.build_coresponding_file_image_name() o_dsc_reader.make_tif_file_name_the_key() @@ -1021,18 +1014,18 @@ def match_dsc_timestamp_with_original_dict_data(self): dict_disc = self.dict_time_stamp_vs_tiff dict_data_raw = self.dict_data_raw - list_images = dict_data_raw['list_images'] + list_images = dict_data_raw["list_images"] new_list_time_stamp = [] new_list_time_stamp_user_format = [] for _key in list_images: _short_key = os.path.basename(_key) - new_list_time_stamp.append(dict_disc[_short_key]['time_stamp']) - new_list_time_stamp_user_format.append(dict_disc[_short_key]['time_stamp_user_format']) + new_list_time_stamp.append(dict_disc[_short_key]["time_stamp"]) + new_list_time_stamp_user_format.append(dict_disc[_short_key]["time_stamp_user_format"]) - self.dict_data_raw['list_time_stamp'] = new_list_time_stamp.copy() - self.dict_data_raw['list_time_stamp_user_format'] = new_list_time_stamp_user_format.copy() + self.dict_data_raw["list_time_stamp"] = new_list_time_stamp.copy() + self.dict_data_raw["list_time_stamp_user_format"] = new_list_time_stamp_user_format.copy() def algorithm_changed(self): self.update_plots() @@ -1050,6 +1043,7 @@ def ignore_first_image_checkbox_clicked(self): def help_button_clicked(self): import webbrowser + webbrowser.open("https://neutronimaging.pages.ornl.gov/en/tutorial/notebooks/water_intake_profile_calculator/") def ok_button_clicked(self): @@ -1063,37 +1057,36 @@ def cancel_button_clicked(self): self.close() -class WaterIntakeProfileCalculator(object): - - dict_files = {'list_images': [], # list of full file name images - 'list_data': [], - 'list_time_stamp': [], - 'list_time_stamp_user_format': [], - } +class WaterIntakeProfileCalculator: + dict_files = { + "list_images": [], # list of full file name images + "list_data": [], + "list_time_stamp": [], + "list_time_stamp_user_format": [], + } - def __init__(self, working_dir='./'): + def __init__(self, working_dir="./"): self.working_dir = working_dir def select_file_help(self, value): import webbrowser + webbrowser.open("https://neutronimaging.pages.ornl.gov/en/tutorial/notebooks/file_selector/#select_profile") def select_data(self): - help_ui = widgets.Button(description="HELP", - button_style='info') + help_ui = widgets.Button(description="HELP", button_style="info") help_ui.on_click(self.select_file_help) display(help_ui) - self.files_ui = fileselector.FileSelectorPanel(instruction='Select Images ...', - start_dir=self.working_dir, - next=self.load_and_plot, - multiple=True) + self.files_ui = fileselector.FileSelectorPanel( + instruction="Select Images ...", start_dir=self.working_dir, next=self.load_and_plot, multiple=True + ) self.files_ui.show() def load_and_plot(self, list_images): self.load(list_images) - #self.launch_plot() + # self.launch_plot() def launch_plot(self): o_gui = WaterIntakeProfileSelector(dict_data=self.dict_files) @@ -1102,21 +1095,21 @@ def launch_plot(self): def load(self, list_images): # list_images = self.files_ui.selected self.dict_files = retrieve_time_stamp(list_images) - #self.__sort_files_using_time_stamp(self.dict_files) + # self.__sort_files_using_time_stamp(self.dict_files) self.__load_files() # Helper functions def __load_files(self): o_load = Normalization() - o_load.load(file=self.dict_files['list_images'], notebook=True) - self.dict_files['list_data'] = o_load.data['sample']['data'] + o_load.load(file=self.dict_files["list_images"], notebook=True) + self.dict_files["list_data"] = o_load.data["sample"]["data"] def __sort_files_using_time_stamp(self, dict_time_stamp): """Using the time stamp information, all the files will be sorted in ascending order of time stamp""" - list_images = dict_time_stamp['list_images'].copy() - list_time_stamp = dict_time_stamp['list_time_stamp'].copy() - list_time_stamp_user_format = dict_time_stamp['list_time_stamp_user_format'].copy() + list_images = dict_time_stamp["list_images"].copy() + list_time_stamp = dict_time_stamp["list_time_stamp"].copy() + list_time_stamp_user_format = dict_time_stamp["list_time_stamp_user_format"].copy() list_images = np.array(list_images) time_stamp = np.array(list_time_stamp) @@ -1130,12 +1123,14 @@ def __sort_files_using_time_stamp(self, dict_time_stamp): sorted_list_time_stamp = time_stamp[sort_index] sorted_list_time_stamp_user_format = time_stamp_user_format[sort_index] - self.dict_files = {'list_images': list(sorted_list_images), - 'list_time_stamp': sorted_list_time_stamp, - 'list_time_stamp_user_format': sorted_list_time_stamp_user_format} + self.dict_files = { + "list_images": list(sorted_list_images), + "list_time_stamp": sorted_list_time_stamp, + "list_time_stamp_user_format": sorted_list_time_stamp_user_format, + } -class ProfileHandler(object): +class ProfileHandler: _profile = [] _bins = [] x0 = 0 @@ -1145,27 +1140,27 @@ class ProfileHandler(object): def __init__(self, parent=None): self.parent = parent - + def calculate_profile(self, all=False, index=0): dict_data = self.parent.dict_data self._save_roi_corners() - if all: # all profiles + if all: # all profiles if self.parent.ui.ignore_first_image_checkbox.isChecked(): first_image = 1 else: first_image = 0 - nbr_images = len(dict_data['list_images']) + nbr_images = len(dict_data["list_images"]) for index in np.arange(first_image, nbr_images): self.__calculate_individual_profile(index_file=index, save=True) - else: # only index - self.__calculate_individual_profile(index_file=index-1) + else: # only index + self.__calculate_individual_profile(index_file=index - 1) def __calculate_individual_profile(self, index_file=0, save=False): - _image = self.parent.dict_data['list_data'][index_file] - _image_of_roi = _image[self.y0:self.y1, self.x0:self.x1] + _image = self.parent.dict_data["list_data"][index_file] + _image_of_roi = _image[self.y0 : self.y1, self.x0 : self.x1] _profile = self.get_profile(_image_of_roi) # rebin profile @@ -1174,10 +1169,10 @@ def __calculate_individual_profile(self, index_file=0, save=False): # calculate bin array bins = [] index = 0 - while (index < len(_profile)): + while index < len(_profile): if np.mod(index, bin_size) != 0: pass - else: # end of bin + else: # end of bin bins.append(index) index += 1 @@ -1186,15 +1181,15 @@ def __calculate_individual_profile(self, index_file=0, save=False): # make sure the size of profile agrees with the bin size defined if not (np.mod(len(_profile), bin_size) == 0): - _profile = _profile[:-np.mod(len(_profile), bin_size)] - _profile = np.reshape(_profile, (int(len(_profile)/bin_size), bin_size)) + _profile = _profile[: -np.mod(len(_profile), bin_size)] + _profile = np.reshape(_profile, (int(len(_profile) / bin_size), bin_size)) _profile = np.mean(_profile, axis=1) self._profile = _profile self._bins = bins if save: - list_time_stamp = self.parent.dict_data['list_time_stamp'] + list_time_stamp = self.parent.dict_data["list_time_stamp"] is_sorting_by_name = self.parent.ui.sort_files_by_name_radioButton.isChecked() if is_sorting_by_name: time_stamp_first_file = 0 @@ -1209,27 +1204,25 @@ def __calculate_individual_profile(self, index_file=0, save=False): else: x_axis = self._bins + int(self.x0) - x_axis = x_axis[:len(self._profile)] + x_axis = x_axis[: len(self._profile)] - self.parent.dict_profiles[str(index_file)] = {'data': _profile, - 'x_axis': x_axis, - 'delta_time': delta_time} + self.parent.dict_profiles[str(index_file)] = {"data": _profile, "x_axis": x_axis, "delta_time": delta_time} def plot(self): self.parent.profile.clear() if self.parent.is_inte_along_x_axis: - y_axis_label = 'Y pixels' + y_axis_label = "Y pixels" x_axis = self._bins + int(self.y0) else: - y_axis_label = 'X pixels' + y_axis_label = "X pixels" x_axis = self._bins + int(self.x0) - x_axis = x_axis[:len(self._profile)] + x_axis = x_axis[: len(self._profile)] self.parent.live_x_axis = x_axis self.parent.profile.plot(x_axis, self._profile) - self.parent.profile.setLabel('left', 'Counts') - self.parent.profile.setLabel('bottom', y_axis_label) + self.parent.profile.setLabel("left", "Counts") + self.parent.profile.setLabel("bottom", y_axis_label) def get_profile(self, image): """return the 1D profile of the image using the correct integration method (add, mean, median)""" @@ -1240,11 +1233,11 @@ def get_profile(self, image): _axis_to_integrate = 0 _algo_used = self.parent.get_profile_algo() - if _algo_used == 'add': + if _algo_used == "add": _profile = np.sum(image, axis=_axis_to_integrate) - elif _algo_used == 'mean': + elif _algo_used == "mean": _profile = np.mean(image, axis=_axis_to_integrate) - elif _algo_used == 'median': + elif _algo_used == "median": _profile = np.median(image, axis=_axis_to_integrate) else: raise NotImplementedError @@ -1252,35 +1245,37 @@ def get_profile(self, image): def _save_roi_corners(self): _roi = self.parent.roi - self.x0 = _roi['x0'] - self.y0 = _roi['y0'] - width = _roi['width'] - height = _roi['height'] + self.x0 = _roi["x0"] + self.y0 = _roi["y0"] + width = _roi["width"] + height = _roi["height"] self.x1 = self.x0 + width self.y1 = self.y0 + height def export(self): # select output folder - _export_folder = QFileDialog.getExistingDirectory(self.parent, - directory=self.parent.working_dir, - caption="Select Output Folder", - options=QFileDialog.ShowDirsOnly) + _export_folder = QFileDialog.getExistingDirectory( + self.parent, + directory=self.parent.working_dir, + caption="Select Output Folder", + options=QFileDialog.ShowDirsOnly, + ) if _export_folder: export_folder = os.path.abspath(_export_folder) dict_data = self.parent.dict_data - list_images = dict_data['list_images'] - list_time_stamp = dict_data['list_time_stamp'] - #list_data = dict_data['list_data'] - list_time_stamp_user_format = dict_data['list_time_stamp_user_format'] + list_images = dict_data["list_images"] + list_time_stamp = dict_data["list_time_stamp"] + # list_data = dict_data['list_data'] + list_time_stamp_user_format = dict_data["list_time_stamp_user_format"] _algo_used = self.parent.get_profile_algo() # get metadata roi selection _roi = self.parent.roi - x0 = _roi['x0'] - y0 = _roi['y0'] - width = _roi['width'] - height = _roi['height'] + x0 = _roi["x0"] + y0 = _roi["y0"] + width = _roi["width"] + height = _roi["height"] # x1 = x0 + width # y1 = y0 + height @@ -1293,9 +1288,9 @@ def export(self): self.parent.eventProgress.setVisible(True) if self.parent.is_inte_along_x_axis: - inte_direction = 'x_axis' + inte_direction = "x_axis" else: - inte_direction = 'y_axis' + inte_direction = "y_axis" if self.parent.ui.ignore_first_image_checkbox.isChecked(): first_image = 1 @@ -1305,35 +1300,32 @@ def export(self): for index in np.arange(first_image, nbr_images): _short_file_name = os.path.basename(list_images[index]) [_basename, _] = os.path.splitext(_short_file_name) - output_file_name = os.path.join(export_folder, _basename + '_profile.txt') + output_file_name = os.path.join(export_folder, _basename + "_profile.txt") metadata = [] metadata.append("# Profile over ROI selected integrated along x-axis") - metadata.append("# roi [x0, y0, width, height]: [{}, {}, {}, {}]".format(x0, y0, width, height)) - metadata.append("# integration direction: {}".format(inte_direction)) - metadata.append("# folder: {}".format(input_folder)) - metadata.append("# filename: {}".format(_short_file_name)) - metadata.append("# timestamp (unix): {}".format(list_time_stamp[index])) - metadata.append("# timestamp (user format): {}".format(list_time_stamp_user_format[index])) - metadata.append("# algorithm used: {}".format(_algo_used)) + metadata.append(f"# roi [x0, y0, width, height]: [{x0}, {y0}, {width}, {height}]") + metadata.append(f"# integration direction: {inte_direction}") + metadata.append(f"# folder: {input_folder}") + metadata.append(f"# filename: {_short_file_name}") + metadata.append(f"# timestamp (unix): {list_time_stamp[index]}") + metadata.append(f"# timestamp (user format): {list_time_stamp_user_format[index]}") + metadata.append(f"# algorithm used: {_algo_used}") metadata.append("# ") metadata.append("# pixel, counts") - _profile = self.parent.dict_profiles[str(index)]['data'] - _pixel_index = self.parent.dict_profiles[str(index)]['x_axis'] - pixel_profile = zip(_pixel_index, _profile) + _profile = self.parent.dict_profiles[str(index)]["data"] + _pixel_index = self.parent.dict_profiles[str(index)]["x_axis"] + pixel_profile = zip(_pixel_index, _profile, strict=False) data = [] for _pixel_index, _counts in pixel_profile: - _line = "{}, {}".format(_pixel_index + y0, _counts) + _line = f"{_pixel_index + y0}, {_counts}" data.append(_line) - make_ascii_file(metadata=metadata, - data=data, - output_file_name=output_file_name, - dim='1d') + make_ascii_file(metadata=metadata, data=data, output_file_name=output_file_name, dim="1d") self.parent.eventProgress.setValue(index) self.parent.eventProgress.setVisible(False) - display(HTML("Exported Profiles files ({} files) in {}".format(nbr_images, export_folder))) + display(HTML(f"Exported Profiles files ({nbr_images} files) in {export_folder}")) diff --git a/notebooks/__code/wave_front_dynamics/__init__.py b/notebooks/__code/wave_front_dynamics/__init__.py index 021baef9..2fa2c70d 100755 --- a/notebooks/__code/wave_front_dynamics/__init__.py +++ b/notebooks/__code/wave_front_dynamics/__init__.py @@ -3,11 +3,14 @@ MAX_BIN_SIZE = 100 INIT_BIN_SIZE = 1 -algorithms_colors = {ListAlgorithm.sliding_average: 'red', - ListAlgorithm.change_point: 'green', - ListAlgorithm.error_function: 'blue'} - -algorithms_symbol = {ListAlgorithm.sliding_average: '*', - ListAlgorithm.change_point: '+', - ListAlgorithm.error_function: '.'} +algorithms_colors = { + ListAlgorithm.sliding_average: "red", + ListAlgorithm.change_point: "green", + ListAlgorithm.error_function: "blue", +} +algorithms_symbol = { + ListAlgorithm.sliding_average: "*", + ListAlgorithm.change_point: "+", + ListAlgorithm.error_function: ".", +} diff --git a/notebooks/__code/wave_front_dynamics/algorithms.py b/notebooks/__code/wave_front_dynamics/algorithms.py index 3f3b281a..6d29dd76 100755 --- a/notebooks/__code/wave_front_dynamics/algorithms.py +++ b/notebooks/__code/wave_front_dynamics/algorithms.py @@ -1,9 +1,9 @@ import numpy as np -from scipy.special import erf -from scipy.optimize import curve_fit from changepy import pelt from changepy.costs import normal_var from qtpy import QtGui +from scipy.optimize import curve_fit +from scipy.special import erf class ListAlgorithm: @@ -13,10 +13,10 @@ class ListAlgorithm: all = "all" -class MeanRangeCalculation(object): - ''' +class MeanRangeCalculation: + """ Mean value of all the counts between left_pixel and right pixel - ''' + """ def __init__(self, data=None): self.data = data @@ -26,8 +26,8 @@ def calculate_left_right_mean(self, pixel=-1): _data = self.data _nbr_pixel = self.nbr_pixel - self.left_mean = np.nanmean(_data[0:pixel+1]) - self.right_mean = np.nanmean(_data[pixel+1:_nbr_pixel]) + self.left_mean = np.nanmean(_data[0 : pixel + 1]) + self.right_mean = np.nanmean(_data[pixel + 1 : _nbr_pixel]) def calculate_delta_mean_square(self): self.delta_square = np.square(self.left_mean - self.right_mean) @@ -58,11 +58,9 @@ class Algorithms: progress_bar_ui = None # progress bar ui - def __init__(self, list_data=None, - ignore_first_dataset=True, - algorithm_selected='sliding_average', - progress_bar_ui=None): - + def __init__( + self, list_data=None, ignore_first_dataset=True, algorithm_selected="sliding_average", progress_bar_ui=None + ): self.list_data = list_data self.ignore_first_dataset = ignore_first_dataset self.progress_bar_ui = progress_bar_ui @@ -78,7 +76,7 @@ def __init__(self, list_data=None, @staticmethod def fitting_function(x, c, w, m, n): - return ((m-n)/2.) * erf((x-c)/w) + (m+n)/2. + return ((m - n) / 2.0) * erf((x - c) / w) + (m + n) / 2.0 def are_data_from_max_to_min(self, ydata): nbr_points = len(ydata) @@ -88,7 +86,7 @@ def are_data_from_max_to_min(self, ydata): ydata = ydata.copy() ydata_reversed = ydata[::-1] - mean_last_part = np.mean(ydata_reversed[0: nbr_point_for_investigation]) + mean_last_part = np.mean(ydata_reversed[0:nbr_point_for_investigation]) if mean_first_part > mean_last_part: return True @@ -101,7 +99,7 @@ def calculate_change_point(self): if self.ignore_first_dataset: _start_file = 1 - _end_file = nbr_files+1 + _end_file = nbr_files + 1 else: _start_file = 0 _end_file = nbr_files @@ -124,7 +122,7 @@ def calculate_change_point(self): water_intake_peaks.append(peak) if self.progress_bar_ui: - self.progress_bar_ui.setValue(_index_file+1) + self.progress_bar_ui.setValue(_index_file + 1) QtGui.QGuiApplication.processEvents() self.peak_change_point_data = water_intake_peaks @@ -171,13 +169,10 @@ def calculate_using_erf(self): (popt, pcov) = self.fitting_algorithm(ydata) - _local_dict = {'c': popt[0], - 'w': popt[1], - 'm': popt[2], - 'n': popt[3]} + _local_dict = {"c": popt[0], "w": popt[1], "m": popt[2], "n": popt[3]} error = np.sqrt(np.diag(pcov)) - _peak = int(popt[0] + (popt[1]/np.sqrt(2))) + _peak = int(popt[0] + (popt[1] / np.sqrt(2))) if not is_data_from_max_to_min: _peak = len(ydata) - _peak @@ -192,13 +187,13 @@ def calculate_using_erf(self): else: error[_i] = _err - _peak_error = int(error[0] + (error[1]/np.sqrt(2))) + _peak_error = int(error[0] + (error[1] / np.sqrt(2))) peak_error_function_data_error.append(_peak_error) dict_error_function_parameters[str(_index_file)] = _local_dict if self.progress_bar_ui: - self.progress_bar_ui.setValue(_index_file+1) + self.progress_bar_ui.setValue(_index_file + 1) QtGui.QGuiApplication.processEvents() self.peak_error_function_data = peak_error_function_data @@ -222,7 +217,7 @@ def calculate_using_sliding_average(self): if self.ignore_first_dataset: _start_file = 1 - _end_file = nbr_files+1 + _end_file = nbr_files + 1 else: _start_file = 0 _end_file = nbr_files @@ -237,16 +232,16 @@ def calculate_using_sliding_average(self): _profile_data = list_data[_index_file] delta_array = [] _o_range = MeanRangeCalculation(data=_profile_data) - for _pixel in np.arange(0, nbr_pixels-5): + for _pixel in np.arange(0, nbr_pixels - 5): _o_range.calculate_left_right_mean(pixel=_pixel) _o_range.calculate_delta_mean_square() delta_array.append(_o_range.delta_square) - peak_value = delta_array.index(max(delta_array[0: nbr_pixels - 5])) + peak_value = delta_array.index(max(delta_array[0 : nbr_pixels - 5])) peak_sliding_average_data.append(peak_value) if self.progress_bar_ui: - self.progress_bar_ui.setValue(_index_file+1) + self.progress_bar_ui.setValue(_index_file + 1) QtGui.QGuiApplication.processEvents() self.peak_sliding_average_data = peak_sliding_average_data @@ -254,7 +249,7 @@ def calculate_using_sliding_average(self): self.progress_bar_ui.setVisible(False) QtGui.QGuiApplication.processEvents() - def get_peak_value_array(self, algorithm_selected='sliding_average'): + def get_peak_value_array(self, algorithm_selected="sliding_average"): if algorithm_selected == ListAlgorithm.sliding_average: return self.peak_sliding_average_data elif algorithm_selected == ListAlgorithm.change_point: @@ -265,18 +260,18 @@ def get_peak_value_array(self, algorithm_selected='sliding_average'): raise ValueError("algorithm not implemented yet!") @staticmethod - def bin_data(data=None, bin_size=1, bin_type='median'): + def bin_data(data=None, bin_size=1, bin_type="median"): numpy_data = np.array(data).flatten() if bin_size == 1: return numpy_data nbr_bin = int(len(numpy_data) / bin_size) - data_to_rebinned = numpy_data[0: nbr_bin * bin_size] + data_to_rebinned = numpy_data[0 : nbr_bin * bin_size] binned_array_step1 = np.reshape(data_to_rebinned, [nbr_bin, bin_size]) if bin_type == "mean": binned_array = np.mean(binned_array_step1, axis=1) - elif bin_type == 'median': + elif bin_type == "median": binned_array = np.median(binned_array_step1, axis=1) else: raise NotImplementedError("bin data type not supported!") diff --git a/notebooks/__code/wave_front_dynamics/display.py b/notebooks/__code/wave_front_dynamics/display.py index 3640ea81..c2c7b020 100755 --- a/notebooks/__code/wave_front_dynamics/display.py +++ b/notebooks/__code/wave_front_dynamics/display.py @@ -1,14 +1,14 @@ import copy + import numpy as np from __code._utilities.parent import Parent -from __code.wave_front_dynamics.get import Get from __code.wave_front_dynamics import algorithms_colors from __code.wave_front_dynamics.algorithms import Algorithms +from __code.wave_front_dynamics.get import Get class Display(Parent): - def clear_plots(self): self.parent.ui.calculated_edges_plot.axes.clear() self.parent.ui.calculated_edges_plot.draw() @@ -21,22 +21,18 @@ def update_prepare_data_plot(self): bin_size = o_get.prepare_data_bin_size() bin_type = o_get.prepare_data_bin_type() file_index = o_get.prepare_data_file_index() - min_data_range = self.parent.data_range['min'] - max_data_range = self.parent.data_range['max'] - min_data_range_for_plot = np.floor(min_data_range/bin_size) - max_data_range_for_plot = np.floor(max_data_range/bin_size) + min_data_range = self.parent.data_range["min"] + max_data_range = self.parent.data_range["max"] + min_data_range_for_plot = np.floor(min_data_range / bin_size) + max_data_range_for_plot = np.floor(max_data_range / bin_size) data = copy.deepcopy(self.parent.list_of_data[file_index]) new_data = Algorithms.bin_data(data=data, bin_size=bin_size, bin_type=bin_type) self.parent.ui.prepare_data_plot.axes.plot(new_data) - self.parent.ui.prepare_data_plot.axes.axvline(min_data_range_for_plot, - linestyle='--', - color='blue') - self.parent.ui.prepare_data_plot.axes.axvline(max_data_range_for_plot, - linestyle='--', - color='red') + self.parent.ui.prepare_data_plot.axes.axvline(min_data_range_for_plot, linestyle="--", color="blue") + self.parent.ui.prepare_data_plot.axes.axvline(max_data_range_for_plot, linestyle="--", color="red") self.parent.ui.prepare_data_plot.draw() def display_current_selected_profile_and_edge_position(self): @@ -56,7 +52,6 @@ def display_current_selected_profile_and_edge_position(self): self.parent.ui.calculated_edges_plot.axes.plot(data_to_plot) for edge_calculation_algorithm in list_edge_calculation_algorithm: - peak_value_array = self.parent.peak_value_arrays[edge_calculation_algorithm] if peak_value_array is None: return @@ -65,9 +60,7 @@ def display_current_selected_profile_and_edge_position(self): peak_value_array = self.parent.peak_value_arrays[edge_calculation_algorithm] edge_position = peak_value_array[file_index_selected] - self.parent.ui.calculated_edges_plot.axes.axvline(edge_position, - linestyle='--', - color=color) + self.parent.ui.calculated_edges_plot.axes.axvline(edge_position, linestyle="--", color=color) self.parent.ui.calculated_edges_plot.axes.set_xlabel("Pixel (relative position) ") self.parent.ui.calculated_edges_plot.axes.set_ylabel("Mean counts") @@ -85,7 +78,6 @@ def display_all_edge_positions(self): relative_timestamp = self.parent.list_of_timestamp_of_data_prepared for edge_calculation_algorithm in list_edge_calculation_algorithm: - peak_value_array = self.parent.peak_value_arrays[edge_calculation_algorithm] if peak_value_array is None: return @@ -94,14 +86,12 @@ def display_all_edge_positions(self): color = algorithms_colors[edge_calculation_algorithm] - self.parent.ui.recap_edges_plot.axes.plot(relative_timestamp, - peak_value_array, - '*', - color=color, - label=edge_calculation_algorithm) - self.parent.ui.recap_edges_plot.axes.plot(relative_timestamp[file_index_selected], - peak_value_array[file_index_selected], - '+') + self.parent.ui.recap_edges_plot.axes.plot( + relative_timestamp, peak_value_array, "*", color=color, label=edge_calculation_algorithm + ) + self.parent.ui.recap_edges_plot.axes.plot( + relative_timestamp[file_index_selected], peak_value_array[file_index_selected], "+" + ) self.parent.ui.recap_edges_plot.axes.set_xlabel("Relative time (s)") self.parent.ui.recap_edges_plot.axes.set_ylabel("Wave front position (relative pixel position)") diff --git a/notebooks/__code/wave_front_dynamics/event_handler.py b/notebooks/__code/wave_front_dynamics/event_handler.py index a370ed1f..80b7733c 100755 --- a/notebooks/__code/wave_front_dynamics/event_handler.py +++ b/notebooks/__code/wave_front_dynamics/event_handler.py @@ -1,20 +1,18 @@ from qtpy import QtGui -import numpy as np from __code._utilities.parent import Parent from __code._utilities.status_message import StatusMessageStatus, show_status_message -from __code.wave_front_dynamics.get import Get from __code.wave_front_dynamics.algorithms import Algorithms, ListAlgorithm from __code.wave_front_dynamics.display import Display +from __code.wave_front_dynamics.get import Get class EventHandler(Parent): - def data_range_changed(self): min_range = self.parent.ui.left_range_slider.value() max_range = self.parent.ui.right_range_slider.value() - self.parent.data_range['min'] = min_range - self.parent.data_range['max'] = max_range + self.parent.data_range["min"] = min_range + self.parent.data_range["max"] = max_range o_display = Display(parent=self.parent) o_display.update_prepare_data_plot() @@ -76,14 +74,11 @@ def calculate_edge_position(self): edge_calculation_algorithm = o_get.edge_calculation_algorithms() if edge_calculation_algorithm == ListAlgorithm.all: - o_display = Display(parent=self.parent) o_display.clear_plots() self.reset_peak_value_arrays() - list_algo = [ListAlgorithm.sliding_average, - ListAlgorithm.error_function, - ListAlgorithm.change_point] + list_algo = [ListAlgorithm.sliding_average, ListAlgorithm.error_function, ListAlgorithm.change_point] for _algo in list_algo: self.running_algo(algorithm=_algo) # self.check_status_of_edge_calculation_checkboxes() @@ -95,22 +90,20 @@ def calculate_edge_position(self): def running_algo(self, algorithm=None): list_of_data_prepared = self.parent.list_of_data_prepared - show_status_message(parent=self.parent, - message=f"Running {algorithm} ...", - status=StatusMessageStatus.working) + show_status_message(parent=self.parent, message=f"Running {algorithm} ...", status=StatusMessageStatus.working) - o_algo = Algorithms(list_data=list_of_data_prepared, - ignore_first_dataset=False, - algorithm_selected=algorithm, - progress_bar_ui=self.parent.event_progress) - self.parent.peak_value_arrays[algorithm] = \ - o_algo.get_peak_value_array(algorithm_selected=algorithm) + o_algo = Algorithms( + list_data=list_of_data_prepared, + ignore_first_dataset=False, + algorithm_selected=algorithm, + progress_bar_ui=self.parent.event_progress, + ) + self.parent.peak_value_arrays[algorithm] = o_algo.get_peak_value_array(algorithm_selected=algorithm) self.parent.data_have_been_reversed_in_calculation = o_algo.data_have_been_reversed_in_calculation - show_status_message(parent=self.parent, - message=f"Running {algorithm}: Done", - status=StatusMessageStatus.ready, - duration_s=10) + show_status_message( + parent=self.parent, message=f"Running {algorithm}: Done", status=StatusMessageStatus.ready, duration_s=10 + ) def edge_calculation_file_index_slider_changed(self, slider_value=None): if slider_value is None: @@ -145,7 +138,7 @@ def check_status_of_edge_calculation_buttons(self): enabled_state = False for _key in self.parent.peak_value_arrays.keys(): value = self.parent.peak_value_arrays[_key] - if not (value is None): + if value is not None: enabled_state = True break self.parent.ui.export_button.setEnabled(enabled_state) @@ -154,9 +147,11 @@ def check_status_of_edge_calculation_buttons(self): self.parent.ui.edge_calculation_file_index_value.setEnabled(enabled_state) def reset_peak_value_arrays(self): - self.parent.peak_value_arrays = {ListAlgorithm.sliding_average: None, - ListAlgorithm.change_point: None, - ListAlgorithm.error_function: None} + self.parent.peak_value_arrays = { + ListAlgorithm.sliding_average: None, + ListAlgorithm.change_point: None, + ListAlgorithm.error_function: None, + } def update_list_of_relative_timestamp_of_prepared_data(self): list_timestamp = self.parent.list_timestamp @@ -166,7 +161,6 @@ def update_list_of_relative_timestamp_of_prepared_data(self): list_of_timestamp_of_data_prepared = [] for _index, _state in enumerate(boolean_list_of_files_to_use): if _state: - if t0 == -1: t0 = float(list_timestamp[_index]) list_of_timestamp_of_data_prepared.append(0) diff --git a/notebooks/__code/wave_front_dynamics/export.py b/notebooks/__code/wave_front_dynamics/export.py index 05e51b9a..05355b66 100755 --- a/notebooks/__code/wave_front_dynamics/export.py +++ b/notebooks/__code/wave_front_dynamics/export.py @@ -1,23 +1,24 @@ import os -from qtpy.QtWidgets import QFileDialog + import numpy as np +from qtpy.QtWidgets import QFileDialog -from __code._utilities.parent import Parent -from __code.wave_front_dynamics.get import Get from __code._utilities.file import make_ascii_file +from __code._utilities.parent import Parent from __code._utilities.status_message import StatusMessageStatus, show_status_message +from __code.wave_front_dynamics.get import Get class Export(Parent): - def run(self): parent_working_dir = os.path.dirname(self.parent.working_dir) - output_folder = QFileDialog.getExistingDirectory(self.parent, - directory=parent_working_dir, - caption="Select where to export the data ...", - options=QFileDialog.ShowDirsOnly) + output_folder = QFileDialog.getExistingDirectory( + self.parent, + directory=parent_working_dir, + caption="Select where to export the data ...", + options=QFileDialog.ShowDirsOnly, + ) if output_folder: - output_file_name = self.make_up_output_file_name(output_folder=output_folder) o_get = Get(parent=self.parent) @@ -25,20 +26,18 @@ def run(self): metadata = self.retrieving_metadata(list_edge_calculation_algorithm) data = self.retrieve_data(list_edge_calculation_algorithm) - make_ascii_file(output_file_name=output_file_name, - data=data, - metadata=metadata, - dim='1d') + make_ascii_file(output_file_name=output_file_name, data=data, metadata=metadata, dim="1d") - show_status_message(parent=self.parent, - message=f"File exported: {output_file_name}", - status=StatusMessageStatus.ready, - duration_s=10) + show_status_message( + parent=self.parent, + message=f"File exported: {output_file_name}", + status=StatusMessageStatus.ready, + duration_s=10, + ) def retrieve_data(self, list_edge_calculation_algorithm): peak_value_array = [] for edge_calculation_algorithm in list_edge_calculation_algorithm: - _array = self.parent.peak_value_arrays[edge_calculation_algorithm] if peak_value_array is None: continue @@ -55,7 +54,7 @@ def retrieve_data(self, list_edge_calculation_algorithm): relative_timestamp = self.parent.list_of_timestamp_of_data_prepared for _row_index, _time in enumerate(relative_timestamp): - str_data_array[_row_index] = "{}, {}".format(_time, str_data_array[_row_index]) + str_data_array[_row_index] = f"{_time}, {str_data_array[_row_index]}" return str_data_array @@ -65,7 +64,7 @@ def retrieving_metadata(self, list_edge_calculation_algorithm): list_algo.append(edge_calculation_algorithm + " (pixels number)") metadata = ["# Position of wave edge in nbr of pixels from center of profile using various algorithms"] - metadata.append('# list of image files') + metadata.append("# list of image files") for _file in self.parent.list_of_original_image_files_to_use: _str = "# " + _file metadata.append(_str) diff --git a/notebooks/__code/wave_front_dynamics/get.py b/notebooks/__code/wave_front_dynamics/get.py index 82d9134e..6c680833 100755 --- a/notebooks/__code/wave_front_dynamics/get.py +++ b/notebooks/__code/wave_front_dynamics/get.py @@ -1,11 +1,8 @@ -import numpy as np - from __code._utilities.parent import Parent from __code.wave_front_dynamics.algorithms import ListAlgorithm class Get(Parent): - def prepare_data_bin_size(self): return self.parent.ui.bin_value_horizontalSlider.value() @@ -14,9 +11,9 @@ def prepare_data_file_index(self): def prepare_data_bin_type(self): if self.parent.ui.prepare_data_bin_type_mean.isChecked(): - return 'mean' + return "mean" elif self.parent.ui.prepare_data_bin_type_median.isChecked(): - return 'median' + return "median" else: raise NotImplementedError("data bin type not implemented!") @@ -47,10 +44,10 @@ def edge_calculation_algorithms_to_plot(self): def working_range_of_data(self, data=None): bin_size = self.prepare_data_bin_size() - min_data_range = self.parent.data_range['min'] - max_data_range = self.parent.data_range['max'] + min_data_range = self.parent.data_range["min"] + max_data_range = self.parent.data_range["max"] # min_data_range_for_plot = np.floor(min_data_range/bin_size) # max_data_range_for_plot = np.floor(max_data_range/bin_size) - working_data = data[min_data_range: max_data_range] + working_data = data[min_data_range:max_data_range] return working_data diff --git a/notebooks/__code/wave_front_dynamics/initialization.py b/notebooks/__code/wave_front_dynamics/initialization.py index 360710f3..08ee3250 100755 --- a/notebooks/__code/wave_front_dynamics/initialization.py +++ b/notebooks/__code/wave_front_dynamics/initialization.py @@ -1,16 +1,16 @@ -import numpy as np import matplotlib -matplotlib.use('Qt5Agg') +import numpy as np + +matplotlib.use("Qt5Agg") from matplotlib.backends.backend_qt5agg import NavigationToolbar2QT as NavigationToolbar -from qtpy.QtWidgets import QVBoxLayout, QProgressBar +from qtpy.QtWidgets import QProgressBar, QVBoxLayout -from __code.panoramic_stitching.mplcanvas import MplCanvas from __code._utilities.parent import Parent -from __code.wave_front_dynamics import MAX_BIN_SIZE, INIT_BIN_SIZE +from __code.panoramic_stitching.mplcanvas import MplCanvas +from __code.wave_front_dynamics import INIT_BIN_SIZE, MAX_BIN_SIZE class Initialization(Parent): - def all(self): self.matplotlib() self.widgets() @@ -18,7 +18,7 @@ def all(self): self.data() def widgets(self): - self.parent.ui.file_index_horizontalSlider.setMaximum(self.parent.nbr_files-1) + self.parent.ui.file_index_horizontalSlider.setMaximum(self.parent.nbr_files - 1) self.parent.ui.file_index_value_label.setText(str(0)) self.parent.ui.bin_value_horizontalSlider.setMinimum(1) @@ -28,17 +28,16 @@ def widgets(self): self.parent.ui.recap_edges_widget.setEnabled(False) self.parent.ui.calculated_edges_widget.setEnabled(False) - self.parent.ui.edge_calculation_file_index_slider.setMaximum(self.parent.nbr_files-1) + self.parent.ui.edge_calculation_file_index_slider.setMaximum(self.parent.nbr_files - 1) data_0 = self.parent.list_of_data[0] nbr_points = len(data_0) self.parent.max_number_of_data_points = nbr_points - self.parent.ui.left_range_slider.setMaximum(nbr_points-1) - self.parent.ui.right_range_slider.setMaximum(nbr_points-1) - self.parent.ui.right_range_slider.setValue(nbr_points-1) + self.parent.ui.left_range_slider.setMaximum(nbr_points - 1) + self.parent.ui.right_range_slider.setMaximum(nbr_points - 1) + self.parent.ui.right_range_slider.setValue(nbr_points - 1) def matplotlib(self): - def _matplotlib(parent=None, widget=None): sc = MplCanvas(parent, width=5, height=4, dpi=100) toolbar = NavigationToolbar(sc, parent) @@ -48,12 +47,11 @@ def _matplotlib(parent=None, widget=None): widget.setLayout(layout) return sc - self.parent.prepare_data_plot = _matplotlib(parent=self.parent, - widget=self.parent.ui.prepare_data_widget) - self.parent.recap_edges_plot = _matplotlib(parent=self.parent, - widget=self.parent.ui.recap_edges_widget) - self.parent.calculated_edges_plot = _matplotlib(parent=self.parent, - widget=self.parent.ui.calculated_edges_widget) + self.parent.prepare_data_plot = _matplotlib(parent=self.parent, widget=self.parent.ui.prepare_data_widget) + self.parent.recap_edges_plot = _matplotlib(parent=self.parent, widget=self.parent.ui.recap_edges_widget) + self.parent.calculated_edges_plot = _matplotlib( + parent=self.parent, widget=self.parent.ui.calculated_edges_widget + ) def statusbar(self): self.parent.event_progress = QProgressBar(self.parent.ui.statusbar) @@ -64,8 +62,8 @@ def statusbar(self): def data(self): nbr_points = self.parent.max_number_of_data_points - self.parent.data_range['min'] = 0 - self.parent.data_range['max'] = nbr_points-1 + self.parent.data_range["min"] = 0 + self.parent.data_range["max"] = nbr_points - 1 nbr_files = self.parent.nbr_files self.parent.boolean_list_of_files_to_use = np.ones((nbr_files), dtype=bool) diff --git a/notebooks/__code/wave_front_dynamics/loader.py b/notebooks/__code/wave_front_dynamics/loader.py index 540cba88..54255a32 100755 --- a/notebooks/__code/wave_front_dynamics/loader.py +++ b/notebooks/__code/wave_front_dynamics/loader.py @@ -1,24 +1,23 @@ -from IPython.display import HTML -from IPython.display import display -import pandas as pd import re + import numpy as np +import pandas as pd +from IPython.display import HTML, display from __code._utilities.file import retrieve_metadata_value_from_ascii_file def loading_linear_profile_file(file_name): - result_dict = {} # retrieve the axis labels list_of_original_image_files = [] nbr_files = 0 this_line_contains_the_original_image_file_name = False - with open(file_name, 'r') as f: + with open(file_name) as f: for line in f.readlines(): if line.startswith("##"): - axis_legend = line[1:].split(',') + axis_legend = line[1:].split(",") if line.strip() == "#": this_line_contains_the_original_image_file_name = False @@ -27,7 +26,7 @@ def loading_linear_profile_file(file_name): list_of_original_image_files.append(line) if line.startswith("#List of files"): - matching_pattern = '\#\w*\s{1}\w*\s{1}\w*\s{1}\((\d*)' + matching_pattern = r"\#\w*\s{1}\w*\s{1}\w*\s{1}\((\d*)" m = re.match(matching_pattern, line) nbr_files = int(m.group(1)) this_line_contains_the_original_image_file_name = True @@ -36,7 +35,7 @@ def loading_linear_profile_file(file_name): axis_legend = [_line.replace("#", "").strip() for _line in axis_legend] clean_list_of_original_image_file_name = [] - matching_pattern = '\#\s\*\s([/,\-,\w,\.]*)' + matching_pattern = r"\#\s\*\s([/,\-,\w,\.]*)" # getting the list of raw images for _line in list_of_original_image_files: @@ -44,10 +43,9 @@ def loading_linear_profile_file(file_name): _clean_line = m.group(1) clean_list_of_original_image_file_name.append(_clean_line) - result_dict['list_of_original_image_files'] = clean_list_of_original_image_file_name + result_dict["list_of_original_image_files"] = clean_list_of_original_image_file_name - pd_object = pd.read_csv(file_name, comment='#', - names=axis_legend) + pd_object = pd.read_csv(file_name, comment="#", names=axis_legend) list_of_pixel = np.array(pd_object[axis_legend[0]]) @@ -60,17 +58,19 @@ def loading_linear_profile_file(file_name): _data = _data.rename(columns={_col_name: "mean counts"}) list_of_data.append(_data) - result_dict['list_of_data'] = list_of_data + result_dict["list_of_data"] = list_of_data -# list_timestamp = np.arange(len(list_of_pixel)) + # list_timestamp = np.arange(len(list_of_pixel)) list_timestamp = np.arange(nbr_files) print(f"{list_of_pixel =}") print(f"{nbr_files =}") - return {'list_of_data': list_of_data, - 'list_of_original_image_files': clean_list_of_original_image_file_name, - 'list_timestamp': list_timestamp, - 'list_of_ascii_files': clean_list_of_original_image_file_name} + return { + "list_of_data": list_of_data, + "list_of_original_image_files": clean_list_of_original_image_file_name, + "list_timestamp": list_timestamp, + "list_of_ascii_files": clean_list_of_original_image_file_name, + } def loading_radial_profile_file(list_of_ascii_files): @@ -82,25 +82,25 @@ def loading_radial_profile_file(list_of_ascii_files): list_of_original_image_files = [] list_of_timestamp = [] for _file in list_of_ascii_files: - _data = pd.read_csv(_file, - skiprows=6, - delimiter=",", - names=['mean counts'], - dtype=float, - index_col=0) + _data = pd.read_csv(_file, skiprows=6, delimiter=",", names=["mean counts"], dtype=float, index_col=0) list_of_data.append(_data) - _original_image_file = retrieve_metadata_value_from_ascii_file(filename=_file, - metadata_name="# source image") + _original_image_file = retrieve_metadata_value_from_ascii_file(filename=_file, metadata_name="# source image") list_of_original_image_files.append(_original_image_file) - _time_stamp = retrieve_metadata_value_from_ascii_file(filename=_file, - metadata_name="# timestamp") + _time_stamp = retrieve_metadata_value_from_ascii_file(filename=_file, metadata_name="# timestamp") list_of_timestamp.append(_time_stamp) nbr_files = str(len(list_of_ascii_files)) - display(HTML('Notebooks successfully loaded the ' + nbr_files + - ' ASCII profile files!')) - - return {'list_of_ascii_files':list_of_ascii_files, - 'list_timestamp': list_of_timestamp, - 'list_of_data': list_of_data, - 'list_of_original_image_files': list_of_original_image_files} + display( + HTML( + 'Notebooks successfully loaded the ' + + nbr_files + + " ASCII profile files!" + ) + ) + + return { + "list_of_ascii_files": list_of_ascii_files, + "list_timestamp": list_of_timestamp, + "list_of_data": list_of_data, + "list_of_original_image_files": list_of_original_image_files, + } diff --git a/notebooks/__code/wave_front_dynamics/wave_front_dynamics.py b/notebooks/__code/wave_front_dynamics/wave_front_dynamics.py index 9d78284d..5080e8ea 100755 --- a/notebooks/__code/wave_front_dynamics/wave_front_dynamics.py +++ b/notebooks/__code/wave_front_dynamics/wave_front_dynamics.py @@ -1,27 +1,26 @@ -from IPython.display import HTML -import numpy as np -from IPython.display import display +import copy import os + +import numpy as np +from IPython.display import HTML, display from qtpy.QtWidgets import QMainWindow -import copy from __code import load_ui from __code.ipywe import fileselector from __code.wave_front_dynamics.algorithms import ListAlgorithm -from __code.wave_front_dynamics.initialization import Initialization -from __code.wave_front_dynamics.event_handler import EventHandler from __code.wave_front_dynamics.display import Display +from __code.wave_front_dynamics.event_handler import EventHandler from __code.wave_front_dynamics.export import Export -from __code.wave_front_dynamics.loader import loading_radial_profile_file, loading_linear_profile_file +from __code.wave_front_dynamics.initialization import Initialization +from __code.wave_front_dynamics.loader import loading_linear_profile_file, loading_radial_profile_file class InputASCIIType: - linear_profile = 'linear profile' - radial_profile = 'radial_profile' + linear_profile = "linear profile" + radial_profile = "radial_profile" class WaveFrontDynamics: - list_of_ascii_files = None list_of_original_image_files = None list_of_data = None @@ -55,17 +54,17 @@ def load_data(self): result_dict = loading_radial_profile_file(list_of_ascii_files) display(HTML("Loaded using radial profile method .... Done!")) - self.list_of_ascii_files = result_dict['list_of_ascii_files'] - self.list_timestamp = result_dict['list_timestamp'] - self.list_of_data = result_dict['list_of_data'] - self.list_of_original_image_files = result_dict['list_of_original_image_files'] + self.list_of_ascii_files = result_dict["list_of_ascii_files"] + self.list_timestamp = result_dict["list_timestamp"] + self.list_of_data = result_dict["list_of_data"] + self.list_of_original_image_files = result_dict["list_of_original_image_files"] def determine_input_ascii_file_type(self, file_name): """look at the first line of the ascii file and determine the program who generated that ASCII -> line starts with "# source image:" means it came from radial profile otherwise, linear profile """ - with open(file_name, 'r') as f: + with open(file_name) as f: for line in f.readlines(): if line.startswith("# source image:"): return InputASCIIType.radial_profile @@ -76,18 +75,19 @@ def save_list_of_files(self, list_of_files): self.list_of_ascii_files = list_of_files def select_data(self): - instructions = 'Select linear profile ASCII or Radial Profile list of ascii files ...' - self.list_data_widget = fileselector.FileSelectorPanel(instruction=instructions, - start_dir=self.working_dir, - # next=self.load_data, - filters={"ASCII": "*.txt"}, - default_filter="ASCII", - multiple=True) + instructions = "Select linear profile ASCII or Radial Profile list of ascii files ..." + self.list_data_widget = fileselector.FileSelectorPanel( + instruction=instructions, + start_dir=self.working_dir, + # next=self.load_data, + filters={"ASCII": "*.txt"}, + default_filter="ASCII", + multiple=True, + ) self.list_data_widget.show() class WaveFrontDynamicsUI(QMainWindow): - list_of_ascii_files = None nbr_files = None boolean_list_of_files_to_use = None @@ -102,21 +102,22 @@ class WaveFrontDynamicsUI(QMainWindow): list_of_data_prepared = None list_of_timestamp_of_data_prepared = None - peak_value_arrays = {ListAlgorithm.sliding_average: None, - ListAlgorithm.change_point : None, - ListAlgorithm.error_function : None} + peak_value_arrays = { + ListAlgorithm.sliding_average: None, + ListAlgorithm.change_point: None, + ListAlgorithm.error_function: None, + } - data_range = {'min': np.NaN, - 'max': np.NaN} - max_number_of_data_points = np.NaN + data_range = {"min": np.nan, "max": np.nan} + max_number_of_data_points = np.nan # matplotlib prepare_data_plot = None def __init__(self, parent=None, working_dir="./", wave_front_dynamics=None): - - display(HTML('Launched UI! ' - '(maybe hidden behind this browser!)')) + display( + HTML('Launched UI! ' "(maybe hidden behind this browser!)") + ) self.working_dir = working_dir self.wave_front_dynamics = wave_front_dynamics @@ -133,9 +134,9 @@ def __init__(self, parent=None, working_dir="./", wave_front_dynamics=None): self.nbr_files = len(self.list_of_data) super(QMainWindow, self).__init__(parent) - ui_full_path = os.path.join(os.path.dirname(os.path.dirname(os.path.dirname(__file__))), - os.path.join('ui', - 'ui_wave_front_dynamics.ui')) + ui_full_path = os.path.join( + os.path.dirname(os.path.dirname(os.path.dirname(__file__))), os.path.join("ui", "ui_wave_front_dynamics.ui") + ) self.ui = load_ui(ui_full_path, baseinstance=self) self.setWindowTitle("Define center and sector of profile") diff --git a/notebooks/__code/widgets/examples_of_qrangeslider.py b/notebooks/__code/widgets/examples_of_qrangeslider.py index 267fc41e..275be266 100755 --- a/notebooks/__code/widgets/examples_of_qrangeslider.py +++ b/notebooks/__code/widgets/examples_of_qrangeslider.py @@ -2,25 +2,23 @@ import sys -from qtpy import QtGui -from qtpy.QtWidgets import QApplication - from qrangeslider import QRangeSlider +from qtpy.QtWidgets import QApplication app = QApplication(sys.argv) # Example 1 rs1 = QRangeSlider() rs1.show() -rs1.setWindowTitle('example 1') +rs1.setWindowTitle("example 1") rs1.setRange(15, 35) -rs1.setBackgroundStyle('background: qlineargradient(x1:0, y1:0, x2:0, y2:1, stop:0 #222, stop:1 #333);') -rs1.setSpanStyle('background: qlineargradient(x1:0, y1:0, x2:0, y2:1, stop:0 #282, stop:1 #393);') +rs1.setBackgroundStyle("background: qlineargradient(x1:0, y1:0, x2:0, y2:1, stop:0 #222, stop:1 #333);") +rs1.setSpanStyle("background: qlineargradient(x1:0, y1:0, x2:0, y2:1, stop:0 #282, stop:1 #393);") # Example 2 rs2 = QRangeSlider() rs2.show() -rs2.setWindowTitle('example 2') +rs2.setWindowTitle("example 2") rs2.setFixedWidth(400) rs2.setFixedHeight(36) rs2.setMin(0) @@ -55,13 +53,13 @@ # Example 3 rs3 = QRangeSlider() rs3.show() -rs3.setWindowTitle('example 3') +rs3.setWindowTitle("example 3") rs3.setFixedHeight(50) rs3.setMin(0) rs3.setMax(2000) rs3.setRange(500, 1253) -rs3.setBackgroundStyle('background: qlineargradient(x1:0, y1:0, x2:0, y2:1, stop:0 #aaa, stop:1 #777);') -rs3.handle.setStyleSheet('background: url(data/sin.png) repeat-x; border: 0px;') +rs3.setBackgroundStyle("background: qlineargradient(x1:0, y1:0, x2:0, y2:1, stop:0 #aaa, stop:1 #777);") +rs3.handle.setStyleSheet("background: url(data/sin.png) repeat-x; border: 0px;") rs3.setStyleSheet(""" QRangeSlider > QSplitter::handle { background: #777; diff --git a/notebooks/__code/widgets/qrangeslider.py b/notebooks/__code/widgets/qrangeslider.py index fa00ae34..2e534809 100755 --- a/notebooks/__code/widgets/qrangeslider.py +++ b/notebooks/__code/widgets/qrangeslider.py @@ -52,25 +52,23 @@ - support splits and joins - verticle sliders - ticks - + """ # --------------------------------------------------------------------------------------------- # IMPORTS # --------------------------------------------------------------------------------------------- -import os import sys from qtpy import QtCore, QtGui -from qtpy.QtWidgets import QGridLayout, QSplitter, QGroupBox, QApplication, QWidget, QHBoxLayout - +from qtpy.QtWidgets import QApplication, QGridLayout, QGroupBox, QHBoxLayout, QSplitter, QWidget try: _fromUtf8 = QtCore.QString.fromUtf8 except AttributeError: _fromUtf8 = lambda s: s -__all__ = ['QRangeSlider'] +__all__ = ["QRangeSlider"] DEFAULT_CSS = """ QRangeSlider * { @@ -101,15 +99,17 @@ """ + def scale(val, src, dst): """ Scale the given value from the scale of src to the scale of dst. """ - return int(((val - src[0]) / float(src[1]-src[0])) * (dst[1]-dst[0]) + dst[0]) + return int(((val - src[0]) / float(src[1] - src[0])) * (dst[1] - dst[0]) + dst[0]) + -class Ui_Form(object): +class Ui_Form: """default range slider form""" - + def setupUi(self, Form): Form.setObjectName(_fromUtf8("QRangeSlider")) Form.resize(300, 30) @@ -146,18 +146,17 @@ def retranslateUi(self, Form): class Element(QGroupBox): - def __init__(self, parent, main): super(Element, self).__init__(parent) self.main = main - + def setStyleSheet(self, style): """redirect style to parent groupbox""" self.parent().setStyleSheet(style) def textColor(self): """text paint color""" - return getattr(self, '__textColor', QtGui.QColor(125, 125, 125)) + return getattr(self, "__textColor", QtGui.QColor(125, 125, 125)) def setTextColor(self, color): """set the text paint color""" @@ -165,7 +164,7 @@ def setTextColor(self, color): color = QtGui.QColor(color[0], color[1], color[2]) elif type(color) == int: color = QtGui.QColor(color, color, color) - setattr(self, '__textColor', color) + setattr(self, "__textColor", color) def paintEvent(self, event): """overrides paint event to handle text""" @@ -178,52 +177,52 @@ def paintEvent(self, event): class Head(Element): """area before the handle""" - + def __init__(self, parent, main): super(Head, self).__init__(parent, main) def drawText(self, event, qp): qp.setPen(self.textColor()) - qp.setFont(QtGui.QFont('Arial', 10)) + qp.setFont(QtGui.QFont("Arial", 10)) qp.drawText(event.rect(), QtCore.Qt.AlignLeft, str(self.main.min())) class Tail(Element): """area after the handle""" - + def __init__(self, parent, main): super(Tail, self).__init__(parent, main) - + def drawText(self, event, qp): qp.setPen(self.textColor()) - qp.setFont(QtGui.QFont('Arial', 10)) + qp.setFont(QtGui.QFont("Arial", 10)) qp.drawText(event.rect(), QtCore.Qt.AlignRight, str(self.main.max())) class Handle(Element): """handle area""" - + def __init__(self, parent, main): super(Handle, self).__init__(parent, main) - + def drawText(self, event, qp): qp.setPen(self.textColor()) - qp.setFont(QtGui.QFont('Arial', 10)) + qp.setFont(QtGui.QFont("Arial", 10)) qp.drawText(event.rect(), QtCore.Qt.AlignLeft, str(self.main.start())) qp.drawText(event.rect(), QtCore.Qt.AlignRight, str(self.main.end())) def mouseMoveEvent(self, event): event.accept() mx = event.globalX() - _mx = getattr(self, '__mx', None) - - if not _mx: - setattr(self, '__mx', mx) + _mx = getattr(self, "__mx", None) + + if not _mx: + setattr(self, "__mx", mx) dx = 0 else: dx = mx - _mx - setattr(self, '__mx', mx) + setattr(self, "__mx", mx) if dx == 0: event.ignore() @@ -232,7 +231,7 @@ def mouseMoveEvent(self, event): dx = 1 elif dx < 0: dx = -1 - + s = self.main.start() + dx e = self.main.end() + dx if s >= self.main.min() and e <= self.main.max(): @@ -300,8 +299,9 @@ class QRangeSlider(QWidget, Ui_Form): QRangeSlider > QSplitter::handle:pressed { background: #ca5; } - + """ + endValueChanged = QtCore.Signal(int) maxValueChanged = QtCore.Signal(int) minValueChanged = QtCore.Signal(int) @@ -319,16 +319,16 @@ class QRangeSlider(QWidget, Ui_Form): def __init__(self, parent=None): """Create a new QRangeSlider instance. - - :param parent: QWidget parent - :return: New QRangeSlider instance. - + + :param parent: QWidget parent + :return: New QRangeSlider instance. + """ super(QRangeSlider, self).__init__(parent) self.setupUi(self) self.setMouseTracking(False) - #self._splitter.setChildrenCollapsible(False) + # self._splitter.setChildrenCollapsible(False) self._splitter.splitterMoved.connect(self._handleMoveSplitter) # head layout @@ -365,37 +365,37 @@ def __init__(self, parent=None): def min(self): """:return: minimum value""" - return getattr(self, '__min', None) + return getattr(self, "__min", None) def max(self): """:return: maximum value""" - return getattr(self, '__max', None) - + return getattr(self, "__max", None) + def setMin(self, value): """sets minimum value""" assert type(value) is int - setattr(self, '__min', value) + setattr(self, "__min", value) self.minValueChanged.emit(value) def setMax(self, value): """sets maximum value""" assert type(value) is int - setattr(self, '__max', value) + setattr(self, "__max", value) self.maxValueChanged.emit(value) - + def start(self): """:return: range slider start value""" - return getattr(self, '__start', None) + return getattr(self, "__start", None) def end(self): """:return: range slider end value""" - return getattr(self, '__end', None) + return getattr(self, "__end", None) def _setStart(self, value): """stores the start value only""" - setattr(self, '__start', value) + setattr(self, "__start", value) self.startValueChanged.emit(value) - + def setStart(self, value): """sets the range slider start value""" assert type(value) is int @@ -407,9 +407,9 @@ def setStart(self, value): def _setEnd(self, value): """stores the end value only""" - setattr(self, '__end', value) + setattr(self, "__end", value) self.endValueChanged.emit(value) - + def setEnd(self, value): """set the range slider end value""" assert type(value) is int @@ -421,12 +421,12 @@ def setEnd(self, value): def drawValues(self): """:return: True if slider values will be drawn""" - return getattr(self, '__drawValues', None) - + return getattr(self, "__drawValues", None) + def setDrawValues(self, draw): """sets draw values boolean to draw slider values""" assert type(draw) is bool - setattr(self, '__drawValues', draw) + setattr(self, "__drawValues", draw) def getRange(self): """:return: the start and end values as a tuple""" @@ -436,16 +436,16 @@ def setRange(self, start, end): """set the start and end values""" self.setStart(start) self.setEnd(end) - + def keyPressEvent(self, event): """overrides key press event to move range left and right""" key = event.key() if key == QtCore.Qt.Key_Left: - s = self.start()-1 - e = self.end()-1 + s = self.start() - 1 + e = self.end() - 1 elif key == QtCore.Qt.Key_Right: - s = self.start()+1 - e = self.end()+1 + s = self.start() + 1 + e = self.end() + 1 else: event.ignore() return @@ -473,32 +473,32 @@ def _posToValue(self, xpos): def _handleMoveSplitter(self, xpos, index): """private method for handling moving splitter handles""" hw = self._splitter.handleWidth() - + def _lockWidth(widget): width = widget.size().width() widget.setMinimumWidth(width) widget.setMaximumWidth(width) - + def _unlockWidth(widget): widget.setMinimumWidth(0) widget.setMaximumWidth(16777215) - + v = self._posToValue(xpos) - + if index == self._SPLIT_START: _lockWidth(self._tail) if v >= self.end(): return - + offset = -20 w = xpos + offset self._setStart(v) - + elif index == self._SPLIT_END: _lockWidth(self._head) if v <= self.start(): return - + offset = -40 w = self.width() - xpos + offset self._setEnd(v) @@ -508,15 +508,15 @@ def _unlockWidth(widget): _unlockWidth(self._handle) -#------------------------------------------------------------------------------- +# ------------------------------------------------------------------------------- # MAIN -#------------------------------------------------------------------------------- +# ------------------------------------------------------------------------------- -if __name__ == '__main__': +if __name__ == "__main__": app = QApplication(sys.argv) rs = QRangeSlider() rs.show() rs.setRange(15, 35) - rs.setBackgroundStyle('background: qlineargradient(x1:0, y1:0, x2:0, y2:1, stop:0 #222, stop:1 #333);') - rs.handle.setStyleSheet('background: qlineargradient(x1:0, y1:0, x2:0, y2:1, stop:0 #282, stop:1 #393);') + rs.setBackgroundStyle("background: qlineargradient(x1:0, y1:0, x2:0, y2:1, stop:0 #222, stop:1 #333);") + rs.handle.setStyleSheet("background: qlineargradient(x1:0, y1:0, x2:0, y2:1, stop:0 #282, stop:1 #393);") app.exec_() diff --git a/notebooks/_before_and_after_github_script.py b/notebooks/_before_and_after_github_script.py index bc55c1ee..a4eda503 100755 --- a/notebooks/_before_and_after_github_script.py +++ b/notebooks/_before_and_after_github_script.py @@ -1,35 +1,38 @@ import argparse -import os import glob +import os -from __code.file_handler import read_ascii, make_ascii_file_from_string +from __code.file_handler import make_ascii_file_from_string, read_ascii # this script will convert the notebooks to .py before pushing to github and the .py files back to # notebooks after pulling from github -parser = argparse.ArgumentParser(description='Before Push or After Pull from GitHub') -parser.add_argument('-b', '--before_push', action="store_true", help='Convert all .ipynb to .py in converted_notebooks folder') -parser.add_argument('-a', '--after_pull', action="store_true", help='Convert all .py from converted_notebooks folder to .ipynb') -parser.add_argument('-d', '--use_debugging_mode', action="store_true", help='Change the debugging mode on/off') +parser = argparse.ArgumentParser(description="Before Push or After Pull from GitHub") +parser.add_argument( + "-b", "--before_push", action="store_true", help="Convert all .ipynb to .py in converted_notebooks folder" +) +parser.add_argument( + "-a", "--after_pull", action="store_true", help="Convert all .py from converted_notebooks folder to .ipynb" +) +parser.add_argument("-d", "--use_debugging_mode", action="store_true", help="Change the debugging mode on/off") def run(): - args = parser.parse_args() _top_path = os.path.dirname(__file__) if args.before_push: - list_notebooks = glob.glob('*.ipynb') - list_users_notebooks = glob.glob('users_notebooks/*.ipynb') + list_notebooks = glob.glob("*.ipynb") + list_users_notebooks = glob.glob("users_notebooks/*.ipynb") list_notebooks += list_users_notebooks list_notebooks.sort() print("Cleaning ...") for _notebook in list_notebooks: - os.system('nbstripout {}'.format(_notebook)) - print(" > {}".format(_notebook)) + os.system(f"nbstripout {_notebook}") + print(f" > {_notebook}") - list_notebooks_after = glob.glob('*.ipynb') - list_users_notebooks_after = glob.glob('users_notebooks/*.ipynb') + list_notebooks_after = glob.glob("*.ipynb") + list_users_notebooks_after = glob.glob("users_notebooks/*.ipynb") list_notebooks_after += list_users_notebooks_after list_notebooks_after.sort() @@ -38,31 +41,31 @@ def run(): else: print(" Cleaning Result: WARNING!") for _file in list_notebooks: - if not (_file in list_notebooks_after): - print(" Missing File: {}".format(_file)) + if _file not in list_notebooks_after: + print(f" Missing File: {_file}") - os.system('jupytext --to converted_notebooks//py *.ipynb') - os.system('jupytext --to converted_notebooks//py users_notebooks/*.ipynb') + os.system("jupytext --to converted_notebooks//py *.ipynb") + os.system("jupytext --to converted_notebooks//py users_notebooks/*.ipynb") elif args.after_pull: - os.system('jupytext --to ipynb converted_notebooks/*.py') + os.system("jupytext --to ipynb converted_notebooks/*.py") # turn debugging flag ON/OFF - print("---> debugging mode is {}".format(args.use_debugging_mode)) + print(f"---> debugging mode is {args.use_debugging_mode}") if args.use_debugging_mode: print("Turning Debugging Mode ON!") else: print("Turning Debugging Mode OFF!") - config_file = os.path.join(_top_path, '__code/config.py') + config_file = os.path.join(_top_path, "__code/config.py") _config_file_contain = read_ascii(config_file) - _parse = _config_file_contain.split('\n') - _parse[0] = 'debugging = {}'.format(args.use_debugging_mode) - _new_contain = '\n'.join(_parse) + _parse = _config_file_contain.split("\n") + _parse[0] = f"debugging = {args.use_debugging_mode}" + _new_contain = "\n".join(_parse) make_ascii_file_from_string(text=_new_contain, filename=config_file) -if __name__ == '__main__': +if __name__ == "__main__": run() diff --git a/notebooks/converted_notebooks/A_TABLE_OF_CONTENTS.py b/notebooks/converted_notebooks/A_TABLE_OF_CONTENTS.py index 9288feb3..78006752 100755 --- a/notebooks/converted_notebooks/A_TABLE_OF_CONTENTS.py +++ b/notebooks/converted_notebooks/A_TABLE_OF_CONTENTS.py @@ -18,7 +18,7 @@ # # B -# * [bin images](bin_images.ipynb) +# * [bin images](bin_images.ipynb) # * Bragg Edge # * [bragg edge normalization](bragg_edge_normalization.ipynb) # * [bragg edge normalized sample and powder](bragg_edge_normalized_sample_and_powder.ipynb) @@ -56,7 +56,7 @@ # * [extract evenly spaced files](extract_evenly_spaced_files.ipynb) # * [extract NeXus daslogs](extract_nexus_daslogs.ipynb) -# # F +# # F # * Fix # * [fix images](fix_images.ipynb) @@ -147,11 +147,8 @@ # * [water intake profile_calculator](water_intake_profile_calculator.ipynb) # * [wave front dynamics](wave_front_dynamics.ipynb) -# # Super User +# # Super User from __code.super_user import SuperUser -a = SuperUser() - - - +a = SuperUser() diff --git a/notebooks/converted_notebooks/CT_reconstruction.py b/notebooks/converted_notebooks/CT_reconstruction.py index e43fe13e..ff261457 100755 --- a/notebooks/converted_notebooks/CT_reconstruction.py +++ b/notebooks/converted_notebooks/CT_reconstruction.py @@ -13,21 +13,19 @@ # --- # + -import os, shutil, numpy as np, glob, time, pickle as pkl, imars3d -from imars3d.jnbui import ct_wizard, imageslider -from imars3d.ImageFile import ImageFile +import glob +import os # Be patient, this may take a little while too # # %matplotlib notebook # %matplotlib inline -from matplotlib import pyplot as plt # - # # Input Settings -data_folder = '/Volumes/G-DRIVE/IPTS/IPTS-25519-iMars3D-command-line/raw/ct_scans/2021_07_21_1in/' -ob_folder = '/Volumes/G-DRIVE/IPTS/IPTS-25519-iMars3D-command-line/raw/ob/2021_07_21_1in/' -df_folder = '/Volumes/G-DRIVE/IPTS/IPTS-25519-iMars3D-command-line/raw/df/2021_07_19/' +data_folder = "/Volumes/G-DRIVE/IPTS/IPTS-25519-iMars3D-command-line/raw/ct_scans/2021_07_21_1in/" +ob_folder = "/Volumes/G-DRIVE/IPTS/IPTS-25519-iMars3D-command-line/raw/ob/2021_07_21_1in/" +df_folder = "/Volumes/G-DRIVE/IPTS/IPTS-25519-iMars3D-command-line/raw/df/2021_07_19/" ct_sig = "treated_1inch" ct_scan_root = "/Volumes/G-DRIVE/IPTS/IPTS-25519-iMars3D-command-line/raw/ct_scans/" @@ -51,15 +49,17 @@ from imars3d.CT import CT -ct = CT(data_dir, - CT_subdir=ct_dir, - CT_identifier=ct_sig, - workdir=workdir, - outdir=outdir, - ob_files=ob_files, - df_files=df_files) +ct = CT( + data_dir, + CT_subdir=ct_dir, + CT_identifier=ct_sig, + workdir=workdir, + outdir=outdir, + ob_files=ob_files, + df_files=df_files, +) -# # preprocess +# # preprocess # %%time ppd = ct.preprocess() @@ -71,5 +71,3 @@ # %%time ct.recon(crop_window=(xmin, ymin, xmax, ymax)) - - diff --git a/notebooks/converted_notebooks/DEBUGGING_normalization.py b/notebooks/converted_notebooks/DEBUGGING_normalization.py index 31e16df0..e76c7e84 100755 --- a/notebooks/converted_notebooks/DEBUGGING_normalization.py +++ b/notebooks/converted_notebooks/DEBUGGING_normalization.py @@ -18,7 +18,7 @@ # # + [markdown] run_control={"frozen": false, "read_only": false} -# # Select Your IPTS +# # Select Your IPTS # + run_control={"frozen": false, "read_only": false} from __code.normalization import * @@ -55,7 +55,7 @@ o_norm.o_norm.data['sample']['data'] # + [markdown] run_control={"frozen": false, "read_only": false} -# # Select Background Region +# # Select Background Region # + run_control={"frozen": false, "read_only": false} o_norm = sample_panel.o_norm_handler @@ -81,7 +81,7 @@ o_norm.o_norm.get_normalized_data() # + [markdown] run_control={"frozen": false, "read_only": false} -# # Export +# # Export # + run_control={"frozen": false, "read_only": false} o_norm.select_export_folder(ipts_folder=sample_panel.ipts_dir) @@ -129,5 +129,3 @@ # + run_control={"frozen": false, "read_only": false} plt.imshow(o_norm.normalized_data_array[0]) # - - - diff --git a/notebooks/converted_notebooks/Frederick_ipts.py b/notebooks/converted_notebooks/Frederick_ipts.py index d8b14395..5ff123bc 100755 --- a/notebooks/converted_notebooks/Frederick_ipts.py +++ b/notebooks/converted_notebooks/Frederick_ipts.py @@ -23,32 +23,32 @@ # + run_control={"frozen": false, "read_only": false} from __code.frederick_ipts import FrederickIpts - from __code.ui_builder import UiBuilder -o_builder = UiBuilder(ui_name = 'ui_file_metadata_display.ui') -from __code.file_metadata_display import Interface +o_builder = UiBuilder(ui_name="ui_file_metadata_display.ui") from __code import system +from __code.file_metadata_display import Interface + system.System.select_working_dir() from __code.__all import custom_style + custom_style.style() # - # %gui qt # + [markdown] run_control={"frozen": false, "read_only": false} -# # Select Files +# # Select Files # + run_control={"frozen": false, "read_only": false} -o_fred = FrederickIpts(working_dir = system.System.get_working_dir()) +o_fred = FrederickIpts(working_dir=system.System.get_working_dir()) o_fred.select_files() # + [markdown] run_control={"frozen": false, "read_only": false} -# # Display images +# # Display images # + run_control={"frozen": false, "read_only": false} o_gui = Interface(exp_dict=o_fred.exp_dict) o_gui.show() # + run_control={"frozen": false, "read_only": false} - diff --git a/notebooks/converted_notebooks/TESTING_images_and_metadata_extrapolation_matcher.py b/notebooks/converted_notebooks/TESTING_images_and_metadata_extrapolation_matcher.py index 5c9a9a4b..b4e6ada4 100755 --- a/notebooks/converted_notebooks/TESTING_images_and_metadata_extrapolation_matcher.py +++ b/notebooks/converted_notebooks/TESTING_images_and_metadata_extrapolation_matcher.py @@ -13,24 +13,23 @@ # --- # + -import os -import numpy as np +import datetime import pprint - -import matplotlib.pyplot as plt import time -import datetime +import matplotlib.pyplot as plt +import numpy as np import pandas as pd -from __code import time_utility +from __code import time_utility from __code.images_and_metadata_extrapolation_matcher import ImagesAndMetadataExtrapolationMatcher + # - # # Case 1 - file name information in both files -ascii1 = '/Volumes/my_book_thunderbolt_duo/IPTS/IPTS-20444-Regina/TESTING_SET/images_timestamp_infos.txt' -ascii2 = '/Volumes/my_book_thunderbolt_duo/IPTS/IPTS-20444-Regina/TESTING_SET/Sep_17_metadata_report_from_oncat.txt' +ascii1 = "/Volumes/my_book_thunderbolt_duo/IPTS/IPTS-20444-Regina/TESTING_SET/images_timestamp_infos.txt" +ascii2 = "/Volumes/my_book_thunderbolt_duo/IPTS/IPTS-20444-Regina/TESTING_SET/Sep_17_metadata_report_from_oncat.txt" o_matcher = ImagesAndMetadataExtrapolationMatcher(ascii_file_1=ascii1, ascii_file_2=ascii2) @@ -49,8 +48,8 @@ # # Case 2 - No filename information in one of the metadata -ascii1 = '/Volumes/my_book_thunderbolt_duo/IPTS/IPTS-20444-Regina/TESTING_SET/images_timestamp_infos.txt' -ascii3 = '/Volumes/my_book_thunderbolt_duo/IPTS/IPTS-20444-Regina/TESTING_SET/A49_3_at80C_4p1mm_120s_2_03_OCV_C03_2columns.txt' +ascii1 = "/Volumes/my_book_thunderbolt_duo/IPTS/IPTS-20444-Regina/TESTING_SET/images_timestamp_infos.txt" +ascii3 = "/Volumes/my_book_thunderbolt_duo/IPTS/IPTS-20444-Regina/TESTING_SET/A49_3_at80C_4p1mm_120s_2_03_OCV_C03_2columns.txt" o_matcher = ImagesAndMetadataExtrapolationMatcher(ascii_file_1=ascii1, ascii_file_2=ascii3) @@ -65,14 +64,14 @@ # + ascii_file_1_dataframe = o_matcher.ascii_file_1_dataframe -ascii_file_1_dataframe.set_index('timestamp_user_format') +ascii_file_1_dataframe.set_index("timestamp_user_format") ascii_file_2_dataframe = o_matcher.ascii_file_2_dataframe -ascii_file_2_dataframe.set_index("timestamp_user_format"); +ascii_file_2_dataframe.set_index("timestamp_user_format") # - merged_dataframe = pd.merge(ascii_file_1_dataframe, ascii_file_2_dataframe, on="timestamp_user_format", how="outer") -merged_dataframe.sort_values(by='timestamp_user_format', inplace=True) +merged_dataframe.sort_values(by="timestamp_user_format", inplace=True) merged_dataframe = merged_dataframe.reset_index(drop=True) merged_dataframe @@ -83,85 +82,83 @@ list_columns -def get_first_metadata_and_index_value(index=-1, metadata_array=[], direction='left'): - if direction == 'left': +def get_first_metadata_and_index_value(index=-1, metadata_array=[], direction="left"): + if direction == "left": coeff = -1 else: coeff = +1 - - while (np.isnan(metadata_array[index])): + + while np.isnan(metadata_array[index]): index += coeff - + # if last file timestamp is > last metadata recorded, raise error if index >= len(metadata_array): raise ValueError("Not enough metadata to extrapolate value!") - + return [metadata_array[index], index] -import time def convert_to_second(timestamp_value, timestamp_format="%Y-%m-%d %I:%M:%S"): - d = datetime.datetime.strptime(timestamp_value, timestamp_format ) - return time.mktime(d.timetuple()) + d = datetime.datetime.strptime(timestamp_value, timestamp_format) + return time.mktime(d.timetuple()) # + def calculate_extrapolated_metadata(global_index=-1, metadata_array=[], timestamp_array=[]): - -# print("calculate_extrapolated_metadata") -# print("metadata_array: {}".format(metadata_array)) -# print("timestamp_array: {}".format(timestamp_array)) - - [left_metadata_value, left_index] = get_first_metadata_and_index_value(index=global_index, - metadata_array=metadata_array, - direction='left') - [right_metadata_value, right_index] = get_first_metadata_and_index_value(index=global_index, - metadata_array=metadata_array, - direction='right') - -# print("-> left_metadata_value: {}".format(left_metadata_value)) -# print("-> left_index: {}".format(left_index)) -# print("-> right_metadata_value: {}".format(right_metadata_value)) -# print("-> right_index: {}".format(right_index)) - + # print("calculate_extrapolated_metadata") + # print("metadata_array: {}".format(metadata_array)) + # print("timestamp_array: {}".format(timestamp_array)) + + [left_metadata_value, left_index] = get_first_metadata_and_index_value( + index=global_index, metadata_array=metadata_array, direction="left" + ) + [right_metadata_value, right_index] = get_first_metadata_and_index_value( + index=global_index, metadata_array=metadata_array, direction="right" + ) + + # print("-> left_metadata_value: {}".format(left_metadata_value)) + # print("-> left_index: {}".format(left_index)) + # print("-> right_metadata_value: {}".format(right_metadata_value)) + # print("-> right_index: {}".format(right_index)) + left_timestamp_s_format = convert_to_second(timestamp_array[left_index]) right_timestamp_s_format = convert_to_second(timestamp_array[right_index]) - + x_timestamp_s_format = convert_to_second(timestamp_array[global_index]) - - extra_value = extrapolate_value(x=x_timestamp_s_format, - x_left=left_timestamp_s_format, - x_right=right_timestamp_s_format, - y_left=left_metadata_value, - y_right=right_metadata_value) + + extra_value = extrapolate_value( + x=x_timestamp_s_format, + x_left=left_timestamp_s_format, + x_right=right_timestamp_s_format, + y_left=left_metadata_value, + y_right=right_metadata_value, + ) return extra_value - # + def extrapolate_value(x=1, x_left=1, x_right=1, y_left=1, y_right=1): - -# print("in extrapolate_value") -# print("--> x: {}".format(x)) -# print("--> x_left: {}".format(x_left)) -# print("--> x_right: {}".format(x_right)) -# print("--> y_left: {}".format(y_left)) -# print("--> y_right: {}".format(y_right)) - + # print("in extrapolate_value") + # print("--> x: {}".format(x)) + # print("--> x_left: {}".format(x_left)) + # print("--> x_right: {}".format(x_right)) + # print("--> y_left: {}".format(y_left)) + # print("--> y_right: {}".format(y_right)) + coeff = (float(y_right) - float(y_left)) / (float(x_right) - float(x_left)) -# print("---> coeff: {}".format(coeff)) + # print("---> coeff: {}".format(coeff)) part1 = coeff * (float(x) - float(x_left)) -# print("--> part1: {}".format(part1)) -# print("--> part1 + float(y_left): {}".format(part1 + float(y_left))) + # print("--> part1: {}".format(part1)) + # print("--> part1 + float(y_left): {}".format(part1 + float(y_left))) return part1 + float(y_left) # + -# let's pretend user selected +# let's pretend user selected columns_name_to_extrapolate = "Voltage" -metadata_array = merged_dataframe['Voltage'] -timestamp_array = merged_dataframe['timestamp_user_format'] +metadata_array = merged_dataframe["Voltage"] +timestamp_array = merged_dataframe["timestamp_user_format"] # pprint.pprint("metadata array") # pprint.pprint(metadata_array) @@ -169,21 +166,20 @@ def extrapolate_value(x=1, x_left=1, x_right=1, y_left=1, y_right=1): new_metadata_array = [] voltage_extrapolated_array = [] for _index in np.arange(len(metadata_array)): - _metadata_value = metadata_array[_index] if np.isnan(_metadata_value): - _new_value = calculate_extrapolated_metadata(global_index=_index, - metadata_array=metadata_array, - timestamp_array=timestamp_array) + _new_value = calculate_extrapolated_metadata( + global_index=_index, metadata_array=metadata_array, timestamp_array=timestamp_array + ) voltage_extrapolated_array.append(_new_value) else: _new_value = _metadata_value - + new_metadata_array.append(_new_value) - + # pprint.pprint("new metadata_array") # pprint.pprint(new_metadata_array) - + # - time_column = timestamp_array @@ -195,64 +191,53 @@ def extrapolate_value(x=1, x_left=1, x_right=1, y_left=1, y_right=1): # voltage (metadata file) # - -timestamp_with_voltage_known = ascii_file_2_dataframe['timestamp_user_format'] +timestamp_with_voltage_known = ascii_file_2_dataframe["timestamp_user_format"] time_column_voltage_known = timestamp_with_voltage_known -time_column_s_known = [convert_to_second(_time, timestamp_format="%Y-%m-%d %I:%M:%S") for _time in time_column_voltage_known] -voltage_column = ascii_file_2_dataframe['Voltage'] +time_column_s_known = [ + convert_to_second(_time, timestamp_format="%Y-%m-%d %I:%M:%S") for _time in time_column_voltage_known +] +voltage_column = ascii_file_2_dataframe["Voltage"] # + # time stamp vs file name file # - -list_index = list(np.where(np.isnan(merged_dataframe['Voltage']))) +list_index = list(np.where(np.isnan(merged_dataframe["Voltage"]))) time_column_voltage_unknown = np.array(timestamp_array)[list_index] -#time_column_voltage_unknown = ascii_file_1_dataframe['timestamp_user_format'] -#time_column_voltage_unknown = time_column_voltage_unknown -time_column_s_unknown = [convert_to_second(_time, timestamp_format="%Y-%m-%d %I:%M:%S") for _time in time_column_voltage_unknown] +# time_column_voltage_unknown = ascii_file_1_dataframe['timestamp_user_format'] +# time_column_voltage_unknown = time_column_voltage_unknown +time_column_s_unknown = [ + convert_to_second(_time, timestamp_format="%Y-%m-%d %I:%M:%S") for _time in time_column_voltage_unknown +] # + fig, ax = plt.subplots() -ax.plot(time_column_s_known, voltage_column, '+', label='Time Stamp vs File Name') +ax.plot(time_column_s_known, voltage_column, "+", label="Time Stamp vs File Name") ax.set_xlabel("Time (s)") ax.set_ylabel("Voltage") for _vl in time_column_s_unknown: - ax.axvline(x=_vl, color='r', linestyle='--') + ax.axvline(x=_vl, color="r", linestyle="--") -ax.plot(time_column_s_unknown, voltage_extrapolated_array, '*g', label='Extrapolated metadata') -#ax.axvline(x=time_column_s_unknown[0], color='r', linestyle='--', label="Regina's metadata") +ax.plot(time_column_s_unknown, voltage_extrapolated_array, "*g", label="Extrapolated metadata") +# ax.axvline(x=time_column_s_unknown[0], color='r', linestyle='--', label="Regina's metadata") ax.legend() # - - - - - - - - - - - - - - - - # Metadata from Regina's data set retrieve # + _dataframe3 = pd.read_csv(ascii3) -#_dataframe.set_index(INDEX) +# _dataframe.set_index(INDEX) _dataframe3 -time_column = np.asarray(_dataframe3['time_user_format']) -data_column_ascii1 = np.asarray(_dataframe3['Voltage']) -#time_column +time_column = np.asarray(_dataframe3["time_user_format"]) +data_column_ascii1 = np.asarray(_dataframe3["Voltage"]) +# time_column time_column_ascii1 = [get_seconds(_time) for _time in time_column] # - @@ -260,22 +245,22 @@ def extrapolate_value(x=1, x_left=1, x_right=1, y_left=1, y_right=1): # Data coming from file_name vs time stamp _dataframe1 = pd.read_csv(ascii1) -#_dataframe.set_index(INDEX) +# _dataframe.set_index(INDEX) _dataframe1 -time_column = np.asarray(_dataframe1[' timestamp_user_format']) +time_column = np.asarray(_dataframe1[" timestamp_user_format"]) time_column_s = [get_seconds(_time, time_format="%Y-%m-%d %I:%M:%S") for _time in time_column] # + fig, ax = plt.subplots() -ax.plot(time_column_ascii1, data_column_ascii1, '*-', label='Time Stamp vs File Name') +ax.plot(time_column_ascii1, data_column_ascii1, "*-", label="Time Stamp vs File Name") ax.set_xlabel("Time (s)") ax.set_ylabel("Voltage") for _vl in time_column_s[1:]: - ax.axvline(x=_vl, color='r', linestyle='--') + ax.axvline(x=_vl, color="r", linestyle="--") -ax.axvline(x=time_column_s[0], color='r', linestyle='--', label="Regina's metadata") +ax.axvline(x=time_column_s[0], color="r", linestyle="--", label="Regina's metadata") ax.legend() @@ -288,19 +273,14 @@ def extrapolate_value(x=1, x_left=1, x_right=1, y_left=1, y_right=1): format2 = "09/18/2018 12:10:35" format2_reader = "%m/%d/%Y %I:%M:%S" -a="dfdfdf" +a = "dfdfdf" type(a) is list # + global_format = time.strptime(format1.strip(), format1_reader) -new_format = "{}/{}/{} {}:{}:{:}".format(global_format.tm_year, - global_format.tm_mon, - global_format.tm_mday, - global_format.tm_hour, - global_format.tm_min, - global_format.tm_sec) -print("{} -> {}".format(format1, new_format)) +new_format = f"{global_format.tm_year}/{global_format.tm_mon}/{global_format.tm_mday} {global_format.tm_hour}:{global_format.tm_min}:{global_format.tm_sec}" +print(f"{format1} -> {new_format}") # + # global_format = time.strptime(format2.strip(), format2_reader) @@ -315,22 +295,16 @@ def extrapolate_value(x=1, x_left=1, x_right=1, y_left=1, y_right=1): # - - _dataframe1 def format_time(old_format): global_format = time.strptime(old_format.strip(), format1_reader) - new_format = "{}/{}/{} {}:{}:{:02d}".format(global_format.tm_year, - global_format.tm_mon, - global_format.tm_mday, - global_format.tm_hour, - global_format.tm_min, - global_format.tm_sec) + new_format = f"{global_format.tm_year}/{global_format.tm_mon}/{global_format.tm_mday} {global_format.tm_hour}:{global_format.tm_min}:{global_format.tm_sec:02d}" return new_format -data1_dt = _dataframe1[' timestamp_user_format'] +data1_dt = _dataframe1[" timestamp_user_format"] data1_dt _dataframe1 @@ -344,19 +318,13 @@ def format_time(old_format): if "##filename" in _dataframe: print("yes") -o_matcher = ImagesAndMetadataExtrapolationMatcher(filename_vs_timestamp=ascii1, - metadata_ascii_file=ascii2) +o_matcher = ImagesAndMetadataExtrapolationMatcher(filename_vs_timestamp=ascii1, metadata_ascii_file=ascii2) # output file o_folder = SelectFolder(system=system, next_function=o_matcher.export_ascii) - - - - - import pandas as pd pd_ascii1 = pd.read_csv(ascii1) @@ -366,7 +334,7 @@ def format_time(old_format): pd_ascii2.set_index("#filename") -merging_ascii = pd.merge(pd_ascii1, pd_ascii2, on='#filename', how='outer') +merging_ascii = pd.merge(pd_ascii1, pd_ascii2, on="#filename", how="outer") merging_ascii timestamp1 = "2018-09-18 12:13:14" @@ -378,7 +346,7 @@ def format_time(old_format): o_time.format() -# # Select Metadata Info to Keep +# # Select Metadata Info to Keep # + [markdown] run_control={"frozen": false, "read_only": false} # **Allow users to define:** @@ -388,11 +356,13 @@ def format_time(old_format): # * index or label of time info column in big table # + run_control={"frozen": false, "read_only": false} -o_meta = MetadataFileParser(filename=o_file.metadata_file, - meta_type='mpt', - time_label='time/s', - reference_line_showing_end_of_metadata='Number of loops', - end_of_metadata_after_how_many_lines_from_reference_line=1) +o_meta = MetadataFileParser( + filename=o_file.metadata_file, + meta_type="mpt", + time_label="time/s", + reference_line_showing_end_of_metadata="Number of loops", + end_of_metadata_after_how_many_lines_from_reference_line=1, +) o_meta.parse() o_meta.select_data_to_keep() @@ -403,8 +373,6 @@ def format_time(old_format): o_meta.keep_only_columns_of_data_of_interest() o_meta.select_output_location() -# # Where to go Next +# # Where to go Next # Now, you probably want to run [this metadata_ascii_parser](./metadata_ascii_parser.ipynb) notebook in order to create a list of file names and their exact metadata values. - - diff --git a/notebooks/converted_notebooks/TEST__registration.py b/notebooks/converted_notebooks/TEST__registration.py index 6e1102b5..6e031389 100755 --- a/notebooks/converted_notebooks/TEST__registration.py +++ b/notebooks/converted_notebooks/TEST__registration.py @@ -19,26 +19,28 @@ # # + [markdown] run_control={"frozen": false, "read_only": false} -# # Select your IPTS +# # Select your IPTS # + run_control={"frozen": false, "read_only": false} from __code.ui_builder import UiBuilder -o_builder = UiBuilder(ui_name = 'ui_registration.ui') -o_builder = UiBuilder(ui_name = 'ui_registration_tool.ui') -o_builder = UiBuilder(ui_name = 'ui_registration_auto_confirmation.ui') -o_builder = UiBuilder(ui_name = 'ui_registration_markers.ui') -o_builder = UiBuilder(ui_name = 'ui_registration_profile.ui') -o_builder = UiBuilder(ui_name = 'ui_registration_profile_settings.ui') + +o_builder = UiBuilder(ui_name="ui_registration.ui") +o_builder = UiBuilder(ui_name="ui_registration_tool.ui") +o_builder = UiBuilder(ui_name="ui_registration_auto_confirmation.ui") +o_builder = UiBuilder(ui_name="ui_registration_markers.ui") +o_builder = UiBuilder(ui_name="ui_registration_profile.ui") +o_builder = UiBuilder(ui_name="ui_registration_profile_settings.ui") from __code import system from __code.registration.registration import RegistrationFileSelection, RegistrationUi system.System.select_working_dir() from __code.__all import custom_style + custom_style.style() # + [markdown] run_control={"frozen": false, "read_only": false} -# # Python Import +# # Python Import # + run_control={"frozen": false, "read_only": false} # %gui qt @@ -51,10 +53,10 @@ o_selection.select_data() # + [markdown] run_control={"frozen": false, "read_only": false} -# # Launch Registration UI +# # Launch Registration UI # + run_control={"frozen": false, "read_only": false} -o_registration = RegistrationUi(data_dict=o_selection.data_dict['sample']) +o_registration = RegistrationUi(data_dict=o_selection.data_dict["sample"]) o_registration.show() # + [markdown] run_control={"frozen": false, "read_only": false} @@ -65,32 +67,37 @@ # + run_control={"frozen": false, "read_only": false} from __code.ui_builder import UiBuilder -o_builder = UiBuilder(ui_name = 'ui_registration_profile.ui') + +o_builder = UiBuilder(ui_name="ui_registration_profile.ui") + +import os from __code.registration.registration import RegistrationFileSelection from __code.registration.registration_profile import RegistrationProfileUi -import os -list_files = ["/Users/j35/IPTS/charles/im0000.tif", - "/Users/j35/IPTS/charles/im0320.tif", - "/Users/j35/IPTS/charles/im0321.tif", - "/Users/j35/IPTS/charles/im0322.tif", - "/Users/j35/IPTS/charles/im0323.tif", - "/Users/j35/IPTS/charles/im0324.tif", - "/Users/j35/IPTS/charles/im0325.tif", - "/Users/j35/IPTS/charles/im0326.tif", - ] - -list_files = ["/Volumes/my_book_thunderbolt_duo/IPTS/IPTS-19921-Charles/02/Im0000.tif", - "/Volumes/my_book_thunderbolt_duo/IPTS/IPTS-19921-Charles/02/Im0032.tif", - "/Volumes/my_book_thunderbolt_duo/IPTS/IPTS-19921-Charles/02/Im0033.tif", - "/Volumes/my_book_thunderbolt_duo/IPTS/IPTS-19921-Charles/02/Im0034.tif", - "/Volumes/my_book_thunderbolt_duo/IPTS/IPTS-19921-Charles/02/Im0035.tif", - "/Volumes/my_book_thunderbolt_duo/IPTS/IPTS-19921-Charles/02/Im0036.tif", - "/Volumes/my_book_thunderbolt_duo/IPTS/IPTS-19921-Charles/02/Im0037.tif", - ] +list_files = [ + "/Users/j35/IPTS/charles/im0000.tif", + "/Users/j35/IPTS/charles/im0320.tif", + "/Users/j35/IPTS/charles/im0321.tif", + "/Users/j35/IPTS/charles/im0322.tif", + "/Users/j35/IPTS/charles/im0323.tif", + "/Users/j35/IPTS/charles/im0324.tif", + "/Users/j35/IPTS/charles/im0325.tif", + "/Users/j35/IPTS/charles/im0326.tif", +] + +list_files = [ + "/Volumes/my_book_thunderbolt_duo/IPTS/IPTS-19921-Charles/02/Im0000.tif", + "/Volumes/my_book_thunderbolt_duo/IPTS/IPTS-19921-Charles/02/Im0032.tif", + "/Volumes/my_book_thunderbolt_duo/IPTS/IPTS-19921-Charles/02/Im0033.tif", + "/Volumes/my_book_thunderbolt_duo/IPTS/IPTS-19921-Charles/02/Im0034.tif", + "/Volumes/my_book_thunderbolt_duo/IPTS/IPTS-19921-Charles/02/Im0035.tif", + "/Volumes/my_book_thunderbolt_duo/IPTS/IPTS-19921-Charles/02/Im0036.tif", + "/Volumes/my_book_thunderbolt_duo/IPTS/IPTS-19921-Charles/02/Im0037.tif", +] import glob + list_files = glob.glob("/Volumes/my_book_thunderbolt_duo/IPTS/IPTS-19921-Charles/registration_test_set/*.tif") [os.path.exists(_file) for _file in list_files] @@ -100,8 +107,7 @@ o_regi.load_files(list_files) # + run_control={"frozen": false, "read_only": false} -o_gui = RegistrationProfileUi(data_dict=o_regi.data_dict['sample']) +o_gui = RegistrationProfileUi(data_dict=o_regi.data_dict["sample"]) o_gui.show() # + run_control={"frozen": false, "read_only": false} - diff --git a/notebooks/converted_notebooks/TEST_addie_table.py b/notebooks/converted_notebooks/TEST_addie_table.py index 011bb3c5..80a6238e 100755 --- a/notebooks/converted_notebooks/TEST_addie_table.py +++ b/notebooks/converted_notebooks/TEST_addie_table.py @@ -17,11 +17,13 @@ # + run_control={"frozen": false, "read_only": false} import warnings -warnings.filterwarnings('ignore') + +warnings.filterwarnings("ignore") from __code.ui_builder import UiBuilder -o_builder = UiBuilder(ui_name = 'ui_addie.ui') -o_builder = UiBuilder(ui_name = 'ui_addie_save_config.ui') + +o_builder = UiBuilder(ui_name="ui_addie.ui") +o_builder = UiBuilder(ui_name="ui_addie_save_config.ui") from __code.addie import Interface @@ -38,5 +40,3 @@ o_interface = Interface() o_interface.show() # - - - diff --git a/notebooks/converted_notebooks/TEST_cylindrical_geometry_correction.py b/notebooks/converted_notebooks/TEST_cylindrical_geometry_correction.py index 2db5cb75..eb6bac88 100755 --- a/notebooks/converted_notebooks/TEST_cylindrical_geometry_correction.py +++ b/notebooks/converted_notebooks/TEST_cylindrical_geometry_correction.py @@ -17,28 +17,27 @@ # + run_control={"frozen": false, "read_only": false} from __code.ui_builder import UiBuilder -o_builder = UiBuilder(ui_name = 'ui_profile.ui') -from __code import system -from __code.fileselector import FileSelection -from __code.profile import ProfileUi +o_builder = UiBuilder(ui_name="ui_profile.ui") # + run_control={"frozen": false, "read_only": false} # %gui qt - # + run_control={"frozen": false, "marked": true, "read_only": false} import glob import os -#file_dir = '/Volumes/my_book_thunderbolt_duo/IPTS/IPTS-20139-Hao-Liu/05-07-18_LFR_normalized_light_version/' #MacPro -file_dir = '/Users/j35/IPTS/charles/data/' -list_files = glob.glob(file_dir + '*.tif') +from __code.fileselector import FileSelection +from __code.profile import ProfileUi + +# file_dir = '/Volumes/my_book_thunderbolt_duo/IPTS/IPTS-20139-Hao-Liu/05-07-18_LFR_normalized_light_version/' #MacPro +file_dir = "/Users/j35/IPTS/charles/data/" + +list_files = glob.glob(file_dir + "*.tif") o_selection = FileSelection() o_selection.load_files(list_files) -o_profile = ProfileUi(working_dir=os.path.dirname(list_files[0]), - data_dict=o_selection.data_dict['sample']) +o_profile = ProfileUi(working_dir=os.path.dirname(list_files[0]), data_dict=o_selection.data_dict["sample"]) o_profile.show() @@ -46,4 +45,3 @@ # + run_control={"frozen": false, "read_only": false} - diff --git a/notebooks/converted_notebooks/TEST_figuring_out_how_to_control_size_of_pyqtgraph.py b/notebooks/converted_notebooks/TEST_figuring_out_how_to_control_size_of_pyqtgraph.py index 46c79385..eceda027 100755 --- a/notebooks/converted_notebooks/TEST_figuring_out_how_to_control_size_of_pyqtgraph.py +++ b/notebooks/converted_notebooks/TEST_figuring_out_how_to_control_size_of_pyqtgraph.py @@ -13,12 +13,12 @@ # --- # + run_control={"frozen": false, "read_only": false} -from PyQt5 import QtGui, QtCore +from PyQt5 import QtCore, QtGui # + run_control={"frozen": false, "read_only": false} # -*- coding: utf-8 -*- """ -This example demonstrates the use of ImageView, which is a high-level widget for +This example demonstrates the use of ImageView, which is a high-level widget for displaying and analyzing 2D and 3D data. ImageView provides: 1. A zoomable region (ViewBox) for displaying the image @@ -29,53 +29,59 @@ """ ## Add path to library (just for examples; you do not need this) -#import initExample +# import initExample import numpy as np -from pyqtgraph.Qt import QtCore, QtGui import pyqtgraph as pg +from pyqtgraph.Qt import QtCore, QtGui # Interpret image data as row-major instead of col-major -pg.setConfigOptions(imageAxisOrder='row-major') +pg.setConfigOptions(imageAxisOrder="row-major") app = QtGui.QApplication([]) ## Create window with ImageView widget win = QtGui.QMainWindow() -win.resize(800,800) +win.resize(800, 800) imv = pg.ImageView() + def refresh(): global imv, init_state _item = imv.getImageItem() _view = imv.getView() _state = _view.getState() _view.setState(init_state) - print("viewRange: {}".format(_state['viewRange'])) - print("targetRange: {}".format(_state['targetRange'])) + print("viewRange: {}".format(_state["viewRange"])) + print("targetRange: {}".format(_state["targetRange"])) print() + save_state = dict() - + + def restore_state(): global imv, save_state _item = imv.getImageItem() _view = imv.getView() - print("restoring state: {}".format(save_state)) + print(f"restoring state: {save_state}") _view.setState(save_state) - + + def save_state(): global imv, save_state _item = imv.getImageItem() _view = imv.getView() _save_state = _view.getState(copy=False) import copy + save_state = copy.deepcopy(_save_state) - print("saved state: {}".format(save_state)) - + print(f"saved state: {save_state}") + # reset state - #_view.setState(init_state) - + # _view.setState(init_state) + + # _roi = pg.ROI([0,0,200,200]) # _roi.addScaleHandle([1,1],[0,0]) # _roi.sigRegionChanged.connect(refresh) @@ -94,45 +100,38 @@ def save_state(): vertical_layout.addWidget(_set_state_button) _button.clicked.connect(refresh) -_save_button.clicked.connect(save_state) +_save_button.clicked.connect(save_state) _set_state_button.clicked.connect(restore_state) main_widget.setLayout(vertical_layout) -#win.setCentralWidget(imv) +# win.setCentralWidget(imv) win.setCentralWidget(main_widget) win.show() -win.setWindowTitle('pyqtgraph example: ImageView') +win.setWindowTitle("pyqtgraph example: ImageView") ## Create random 3D data set with noisy signals img = pg.gaussianFilter(np.random.normal(size=(200, 200)), (5, 5)) * 20 + 100 -img = img[np.newaxis,:,:] -decay = np.exp(-np.linspace(0,0.3,100))[:,np.newaxis,np.newaxis] +img = img[np.newaxis, :, :] +decay = np.exp(-np.linspace(0, 0.3, 100))[:, np.newaxis, np.newaxis] data = np.random.normal(size=(100, 200, 200)) data += img * decay data += 2 ## Add time-varying signal sig = np.zeros(data.shape[0]) -sig[30:] += np.exp(-np.linspace(1,10, 70)) -sig[40:] += np.exp(-np.linspace(1,10, 60)) -sig[70:] += np.exp(-np.linspace(1,10, 30)) +sig[30:] += np.exp(-np.linspace(1, 10, 70)) +sig[40:] += np.exp(-np.linspace(1, 10, 60)) +sig[70:] += np.exp(-np.linspace(1, 10, 30)) -sig = sig[:,np.newaxis,np.newaxis] * 3 -data[:,50:60,30:40] += sig +sig = sig[:, np.newaxis, np.newaxis] * 3 +data[:, 50:60, 30:40] += sig ## Display the data and assign each frame a time value from 1.0 to 3.0 -imv.setImage(data, xvals=np.linspace(1., 3., data.shape[0])) +imv.setImage(data, xvals=np.linspace(1.0, 3.0, data.shape[0])) ## Set a custom color map -colors = [ - (0, 0, 0), - (45, 5, 61), - (84, 42, 55), - (150, 87, 60), - (208, 171, 141), - (255, 255, 255) -] +colors = [(0, 0, 0), (45, 5, 61), (84, 42, 55), (150, 87, 60), (208, 171, 141), (255, 255, 255)] cmap = pg.ColorMap(pos=np.linspace(0.0, 1.0, 6), color=colors) imv.setColorMap(cmap) @@ -142,13 +141,16 @@ def save_state(): # save initial state init_state = _view.getState() -#padding -x0=0; x1=-7; y0=200; y1=200 -width = x1-x0 -height = y1-y0 +# padding +x0 = 0 +x1 = -7 +y0 = 200 +y1 = 200 +width = x1 - x0 +height = y1 - y0 _view.setRange(rect=QtCore.QRectF(x0, y0, width, height)) -#zoom +# zoom zoom_x0 = -25 zoom_x1 = 29 zoom_y0 = 167 @@ -158,9 +160,10 @@ def save_state(): ## Start Qt event loop unless running in interactive mode. -if __name__ == '__main__': +if __name__ == "__main__": import sys - if (sys.flags.interactive != 1) or not hasattr(QtCore, 'PYQT_VERSION'): + + if (sys.flags.interactive != 1) or not hasattr(QtCore, "PYQT_VERSION"): QtGui.QApplication.instance().exec_() diff --git a/notebooks/converted_notebooks/TEST_metadata_ascii_parser_IPTS_20444.py b/notebooks/converted_notebooks/TEST_metadata_ascii_parser_IPTS_20444.py index 1716ff9a..d6098289 100755 --- a/notebooks/converted_notebooks/TEST_metadata_ascii_parser_IPTS_20444.py +++ b/notebooks/converted_notebooks/TEST_metadata_ascii_parser_IPTS_20444.py @@ -13,7 +13,7 @@ # --- # + [markdown] run_control={"frozen": false, "read_only": false} -# # Select Your IPTS +# # Select Your IPTS # + run_control={"frozen": false, "read_only": false} # #from __code.filename_metadata_match import FilenameMetadataMatch @@ -24,69 +24,72 @@ # custom_style.style() # + run_control={"frozen": false, "read_only": false} +import os + import ipywe.fileselector from IPython.display import HTML + from __code.time_utility import RetrieveTimeStamp -import os -class FilenameMetadataMatch(object): - data_folder = '' - metadata_file = '' - +class FilenameMetadataMatch: + data_folder = "" + metadata_file = "" + list_data_time_stamp = None - - def __init__(self, working_dir='./'): + + def __init__(self, working_dir="./"): self.working_dir = working_dir def select_input_folder(self): _instruction = "Select Input Folder ..." - self.input_folder_ui = ipywe.fileselector.FileSelectorPanel(instruction=_instruction, - start_dir=self.working_dir, - next=self.select_input_folder_done, - type='directory', - ) + self.input_folder_ui = ipywe.fileselector.FileSelectorPanel( + instruction=_instruction, + start_dir=self.working_dir, + next=self.select_input_folder_done, + type="directory", + ) self.input_folder_ui.show() - + def select_input_folder_done(self, folder): self.data_folder = folder display(HTML('Folder Selected: ' + folder)) def select_metadata_file(self): _instruction = "Select Metadata File ..." - self.metadata_ui = ipywe.fileselector.FileSelectorPanel(instruction=_instruction, - start_dir=self.working_dir, - next=self.select_metadata_file_done, - ) + self.metadata_ui = ipywe.fileselector.FileSelectorPanel( + instruction=_instruction, + start_dir=self.working_dir, + next=self.select_metadata_file_done, + ) self.metadata_ui.show() - + def select_metadata_file_done(self, metadata_file): self.metadata_file = metadata_file display(HTML('Metadata File Selected: ' + metadata_file)) - + def retrieve_time_stamp(self): o_retriever = RetrieveTimeStamp(folder=self.data_folder) o_retriever._run() self.list_data_time_stamp = o_retriever - + def load_metadata(self): metadata_file = self.metadata_file - # + [markdown] run_control={"frozen": false, "read_only": false} -# # Select Input Folder +# # Select Input Folder # - -# This is where we select the folder of images that we will need to match with the metadat +# This is where we select the folder of images that we will need to match with the metadat # + run_control={"frozen": false, "read_only": false} -#o_match = FilenameMetadataMatch(working_dir=system.System.get_working_dir()) -o_match = FilenameMetadataMatch(working_dir='/Volumes/my_book_thunderbolt_duo/IPTS/IPTS-20444-Regina/') +# o_match = FilenameMetadataMatch(working_dir=system.System.get_working_dir()) +o_match = FilenameMetadataMatch(working_dir="/Volumes/my_book_thunderbolt_duo/IPTS/IPTS-20444-Regina/") o_match.select_input_folder() # + [markdown] run_control={"frozen": false, "read_only": false} -# # Select Metadata File +# # Select Metadata File # - # We need to select here the metadata file (*.mpt) @@ -107,28 +110,22 @@ def load_metadata(self): # # DEBUGGING STARTS HERE # + run_control={"frozen": false, "read_only": false} -import pandas as pd -import codecs -from __code.file_handler import get_file_extension -from ipywidgets import widgets -import os -import pprint -#metadata_file = o_match.metadata_file +# metadata_file = o_match.metadata_file import glob import platform -if platform.node() == 'mac95470': - git_dir = os.path.abspath(os.path.expanduser('~/git/')) +if platform.node() == "mac95470": + git_dir = os.path.abspath(os.path.expanduser("~/git/")) else: - git_dir = '/Volumes/my_book_thunderbolt_duo/git/' - -metadata_list_files = glob.glob(git_dir + '/standards/ASCII/*.mpt') + git_dir = "/Volumes/my_book_thunderbolt_duo/git/" + +metadata_list_files = glob.glob(git_dir + "/standards/ASCII/*.mpt") index_file = 2 metadata_file = metadata_list_files[index_file] -print("Loading file: {}".format(metadata_file)) +print(f"Loading file: {metadata_file}") assert os.path.exists(metadata_file) @@ -143,11 +140,13 @@ def load_metadata(self): from __code.metadata_ascii_parser import * # + run_control={"frozen": false, "read_only": false} -o_meta = MetadataFileParser(filename=metadata_file, - meta_type='mpt', - time_label='time/s', - reference_line_showing_end_of_metadata='Number of loops', - end_of_metadata_after_how_many_lines_from_reference_line=1) +o_meta = MetadataFileParser( + filename=metadata_file, + meta_type="mpt", + time_label="time/s", + reference_line_showing_end_of_metadata="Number of loops", + end_of_metadata_after_how_many_lines_from_reference_line=1, +) o_meta.parse() # + run_control={"frozen": false, "read_only": false} @@ -170,5 +169,3 @@ def load_metadata(self): # data = new_data.reset_index() # data.rename(index=str, columns={"index": "TimeStamp"}) # - - - diff --git a/notebooks/converted_notebooks/TEST_metadata_overlapping_images.py b/notebooks/converted_notebooks/TEST_metadata_overlapping_images.py index 28e5ff87..ded8941e 100755 --- a/notebooks/converted_notebooks/TEST_metadata_overlapping_images.py +++ b/notebooks/converted_notebooks/TEST_metadata_overlapping_images.py @@ -26,33 +26,33 @@ # + run_control={"frozen": false, "read_only": false} from __code.ui_builder import UiBuilder -o_builder = UiBuilder(ui_name = 'ui_metadata_overlapping_images.ui') -o_builder = UiBuilder(ui_name = 'ui_metadata_overlapping_images_string_format.ui') -from __code import system -from __code.fileselector import FileSelection -from __code.metadata_overlapping_images import MetadataOverlappingImagesUi +o_builder = UiBuilder(ui_name="ui_metadata_overlapping_images.ui") +o_builder = UiBuilder(ui_name="ui_metadata_overlapping_images_string_format.ui") # + run_control={"frozen": false, "read_only": false} # %gui qt - # + run_control={"frozen": false, "read_only": false} import glob import os -file_dir = '/Volumes/my_book_thunderbolt_duo/IPTS/IPTS-20139-Hao-Liu/05-07-18_LFR_normalized_light_version/' #MacPro -#file_dir = '/Users/j35/IPTS/charles/data/' -list_files = glob.glob(file_dir + '*.tif') +from __code.fileselector import FileSelection +from __code.metadata_overlapping_images import MetadataOverlappingImagesUi + +file_dir = "/Volumes/my_book_thunderbolt_duo/IPTS/IPTS-20139-Hao-Liu/05-07-18_LFR_normalized_light_version/" # MacPro +# file_dir = '/Users/j35/IPTS/charles/data/' + +list_files = glob.glob(file_dir + "*.tif") o_selection = FileSelection() o_selection.load_files(list_files) -o_profile = MetadataOverlappingImagesUi(working_dir=os.path.dirname(list_files[0]), - data_dict=o_selection.data_dict['sample']) +o_profile = MetadataOverlappingImagesUi( + working_dir=os.path.dirname(list_files[0]), data_dict=o_selection.data_dict["sample"] +) o_profile.show() # + run_control={"frozen": false, "read_only": false} # + run_control={"frozen": false, "read_only": false} - diff --git a/notebooks/converted_notebooks/TEST_profile.py b/notebooks/converted_notebooks/TEST_profile.py index 8f034582..44f61097 100755 --- a/notebooks/converted_notebooks/TEST_profile.py +++ b/notebooks/converted_notebooks/TEST_profile.py @@ -19,11 +19,12 @@ # # + [markdown] run_control={"frozen": false, "read_only": false} -# # Select your IPTS +# # Select your IPTS # + run_control={"frozen": false, "read_only": false} from __code.ui_builder import UiBuilder -o_builder = UiBuilder(ui_name = 'ui_profile.ui') + +o_builder = UiBuilder(ui_name="ui_profile.ui") from __code import system from __code.fileselector import FileSelection @@ -31,10 +32,11 @@ system.System.select_working_dir() from __code.__all import custom_style + custom_style.style() # + [markdown] run_control={"frozen": false, "read_only": false} -# # Python Import +# # Python Import # + run_control={"frozen": false, "read_only": false} # %gui qt @@ -47,11 +49,10 @@ o_selection.select_data() # + [markdown] run_control={"frozen": false, "read_only": false} -# # Launch UI +# # Launch UI # + run_control={"frozen": false, "read_only": false} -o_profile = ProfileUi(working_dir=system.System.get_working_dir(), - data_dict=o_selection.data_dict['sample']) +o_profile = ProfileUi(working_dir=system.System.get_working_dir(), data_dict=o_selection.data_dict["sample"]) o_profile.show() # + [markdown] run_control={"frozen": false, "read_only": false} @@ -59,28 +60,28 @@ # + run_control={"frozen": false, "read_only": false} from __code.ui_builder import UiBuilder -o_builder = UiBuilder(ui_name = 'ui_profile.ui') -from __code import system -from __code.fileselector import FileSelection -from __code.profile import ProfileUi +o_builder = UiBuilder(ui_name="ui_profile.ui") # + run_control={"frozen": false, "read_only": false} # %gui qt - # + run_control={"frozen": false, "marked": true, "read_only": false} import glob import os -file_dir = '/Volumes/my_book_thunderbolt_duo/IPTS/IPTS-20139-Hao-Liu/05-07-18_LFR_normalized_light_version/' #MacPro -#file_dir = '/Users/j35/IPTS/charles/' -list_files = glob.glob(file_dir + '*.tif') +from __code import system +from __code.fileselector import FileSelection +from __code.profile import ProfileUi + +file_dir = "/Volumes/my_book_thunderbolt_duo/IPTS/IPTS-20139-Hao-Liu/05-07-18_LFR_normalized_light_version/" # MacPro +# file_dir = '/Users/j35/IPTS/charles/' + +list_files = glob.glob(file_dir + "*.tif") o_selection = FileSelection() o_selection.load_files(list_files) -o_profile = ProfileUi(working_dir=os.path.dirname(list_files[0]), - data_dict=o_selection.data_dict['sample']) +o_profile = ProfileUi(working_dir=os.path.dirname(list_files[0]), data_dict=o_selection.data_dict["sample"]) o_profile.show() @@ -88,4 +89,3 @@ # + run_control={"frozen": false, "read_only": false} - diff --git a/notebooks/converted_notebooks/TEST_radial_profile.py b/notebooks/converted_notebooks/TEST_radial_profile.py index 20ccac2a..a04e87fd 100755 --- a/notebooks/converted_notebooks/TEST_radial_profile.py +++ b/notebooks/converted_notebooks/TEST_radial_profile.py @@ -14,32 +14,26 @@ # + run_control={"frozen": false, "read_only": false} from __code.ui_builder import UiBuilder -o_builder = UiBuilder(ui_name = 'ui_radial_profile.ui') -from __code import system -from __code.fileselector import FileSelection -from __code.radial_profile import RadialProfile, SelectRadialParameters +o_builder = UiBuilder(ui_name="ui_radial_profile.ui") # system.System.select_working_dir() # from __code.__all import custom_style # custom_style.style() - # + run_control={"frozen": false, "read_only": false} # %gui qt - # + run_control={"frozen": false, "read_only": false} import glob -import os -file_dir = '/Volumes/my_book_thunderbolt_duo/IPTS/IPTS-19621-CLOCK/CT/' -list_files = glob.glob(file_dir + '*.tiff') +from __code.fileselector import FileSelection +from __code.radial_profile import SelectRadialParameters + +file_dir = "/Volumes/my_book_thunderbolt_duo/IPTS/IPTS-19621-CLOCK/CT/" +list_files = glob.glob(file_dir + "*.tiff") o_selection = FileSelection() o_selection.load_files(list_files) -o_select = SelectRadialParameters(working_dir=file_dir, - data_dict=o_selection.data_dict['sample']) +o_select = SelectRadialParameters(working_dir=file_dir, data_dict=o_selection.data_dict["sample"]) o_select.show() # - - - diff --git a/notebooks/converted_notebooks/TEST_scale_overlapping_images.py b/notebooks/converted_notebooks/TEST_scale_overlapping_images.py index d24cf2e2..933fcda8 100755 --- a/notebooks/converted_notebooks/TEST_scale_overlapping_images.py +++ b/notebooks/converted_notebooks/TEST_scale_overlapping_images.py @@ -25,28 +25,29 @@ # + run_control={"frozen": false, "read_only": false} from __code.ui_builder import UiBuilder -o_builder = UiBuilder(ui_name = 'ui_scale_overlapping_images.ui') -from __code import system -from __code.fileselector import FileSelection -from __code.scale_overlapping_images import ScaleOverlappingImagesUi +o_builder = UiBuilder(ui_name="ui_scale_overlapping_images.ui") # + run_control={"frozen": false, "read_only": false} # %gui qt - # + run_control={"frozen": false, "read_only": false} import glob import os -#file_dir = '/Volumes/my_book_thunderbolt_duo/IPTS/IPTS-20139-Hao-Liu/05-07-18_LFR_normalized_light_version/' #MacPro -file_dir = '/Users/j35/IPTS/charles/' -list_files = glob.glob(file_dir + '*.tif') +from __code.fileselector import FileSelection +from __code.scale_overlapping_images import ScaleOverlappingImagesUi + +# file_dir = '/Volumes/my_book_thunderbolt_duo/IPTS/IPTS-20139-Hao-Liu/05-07-18_LFR_normalized_light_version/' #MacPro +file_dir = "/Users/j35/IPTS/charles/" + +list_files = glob.glob(file_dir + "*.tif") o_selection = FileSelection() o_selection.load_files(list_files) -o_scale = ScaleOverlappingImagesUi(working_dir=os.path.dirname(list_files[0]), - data_dict=o_selection.data_dict['sample']) +o_scale = ScaleOverlappingImagesUi( + working_dir=os.path.dirname(list_files[0]), data_dict=o_selection.data_dict["sample"] +) o_scale.show() @@ -54,4 +55,3 @@ # + run_control={"frozen": false, "read_only": false} - diff --git a/notebooks/converted_notebooks/TEST_time_stamp.py b/notebooks/converted_notebooks/TEST_time_stamp.py index 1279de12..7defddc9 100755 --- a/notebooks/converted_notebooks/TEST_time_stamp.py +++ b/notebooks/converted_notebooks/TEST_time_stamp.py @@ -14,37 +14,42 @@ # + run_control={"frozen": false, "read_only": false} # MacPro -list_files = ["/Volumes/my_book_thunderbolt_duo/IPTS/IPTS-19799/Day1/20180129_BanderaGrey_Dolomite_Dry_0040_0182.tiff", - "/Volumes/my_book_thunderbolt_duo/IPTS/IPTS-19921-Charles/02/im0000.tif"] +list_files = [ + "/Volumes/my_book_thunderbolt_duo/IPTS/IPTS-19799/Day1/20180129_BanderaGrey_Dolomite_Dry_0040_0182.tiff", + "/Volumes/my_book_thunderbolt_duo/IPTS/IPTS-19921-Charles/02/im0000.tif", +] # unix -#list_files = ['/HFIR/CG1DImaging/IPTS-19799/raw/radiographs/Day1/20180129_BanderaGrey_Dolomite_Dry_0040_0182.tif',] +# list_files = ['/HFIR/CG1DImaging/IPTS-19799/raw/radiographs/Day1/20180129_BanderaGrey_Dolomite_Dry_0040_0182.tif',] -expected_time_stamp = [886107840.0457269, - 1517259840.5604978,] +expected_time_stamp = [ + 886107840.0457269, + 1517259840.5604978, +] -expected_user_time_stamp = ["2018-01-29 16:04:00", - "2018-03-21 12:14:31",] +expected_user_time_stamp = [ + "2018-01-29 16:04:00", + "2018-03-21 12:14:31", +] # + -from PIL import Image -import os import datetime -import pytz +import os -class MetadataHandler(object): +from PIL import Image - @staticmethod - def get_time_stamp(file_name='', ext='tif'): - if ext == 'tif': +class MetadataHandler: + @staticmethod + def get_time_stamp(file_name="", ext="tif"): + if ext == "tif": try: o_image = Image.open(file_name) o_dict = dict(o_image.tag_v2) try: time_stamp_s = str(o_dict[65002]) time_stamp_ns = str(o_dict[65003]) - time_stamp_string = "{}.{}".format(time_stamp_s, time_stamp_ns) + time_stamp_string = f"{time_stamp_s}.{time_stamp_ns}" time_stamp = float(time_stamp_string) except: time_stamp = o_dict[65000] @@ -52,14 +57,14 @@ def get_time_stamp(file_name='', ext='tif'): time_stamp = MetadataHandler._convert_epics_timestamp_to_rfc3339_timestamp(time_stamp) except: time_stamp = os.path.getctime(file_name) - elif ext == 'fits': + elif ext == "fits": time_stamp = os.path.getctime(file_name) else: - raise NotImplemented + raise NotImplementedError return time_stamp - + @staticmethod def convert_to_human_readable_format(timestamp): """Convert the unix time stamp into a human readable time format @@ -83,9 +88,10 @@ def _convert_epics_timestamp_to_rfc3339_timestamp(epics_timestamp): # https://www.epochconverter.com/ EPOCH_OFFSET = 631152000 unix_epoch_timestamp = EPOCH_OFFSET + epics_timestamp - + return unix_epoch_timestamp + # # Use pytz magic to get an ORNL-localized version of a Python # # datetime object. # ornl_datetime = pytz.timezone('America/New_York').localize( @@ -97,8 +103,8 @@ def _convert_epics_timestamp_to_rfc3339_timestamp(epics_timestamp): # - -for _index,_file in enumerate(list_files): - _time_stamp = MetadataHandler.get_time_stamp(file_name=_file, ext='tif') +for _index, _file in enumerate(list_files): + _time_stamp = MetadataHandler.get_time_stamp(file_name=_file, ext="tif") assert MetadataHandler.convert_to_human_readable_format(_time_stamp) == expected_user_time_stamp[_index] # Testing the type of the metadata @@ -110,5 +116,3 @@ def _convert_epics_timestamp_to_rfc3339_timestamp(epics_timestamp): import platform platform.system() - - diff --git a/notebooks/converted_notebooks/TEST_water_intake_profile_calculator.py b/notebooks/converted_notebooks/TEST_water_intake_profile_calculator.py index 96d1d480..3fd04cfa 100755 --- a/notebooks/converted_notebooks/TEST_water_intake_profile_calculator.py +++ b/notebooks/converted_notebooks/TEST_water_intake_profile_calculator.py @@ -19,22 +19,23 @@ # # + [markdown] run_control={"frozen": false, "read_only": false} -# # Select your IPTS +# # Select your IPTS # + run_control={"frozen": false, "read_only": false} from __code.ui_builder import UiBuilder -o_builder = UiBuilder(ui_name = 'ui_water_intake_profile.ui') -from __code.roi_selection_ui import Interface + +o_builder = UiBuilder(ui_name="ui_water_intake_profile.ui") from __code import system from __code.water_intake_profile_calculator import WaterIntakeProfileCalculator, WaterIntakeProfileSelector system.System.select_working_dir() from __code.__all import custom_style + custom_style.style() # + [markdown] run_control={"frozen": false, "read_only": false} -# # Python Import +# # Python Import # + run_control={"frozen": false, "read_only": false} # %gui qt @@ -47,7 +48,7 @@ o_water.select_data() # + [markdown] run_control={"frozen": false, "read_only": false} -# # Select Profile Region +# # Select Profile Region # + run_control={"frozen": false, "read_only": false} o_gui = WaterIntakeProfileSelector(dict_data=o_water.dict_files) @@ -64,41 +65,41 @@ # %gui qt # + run_control={"frozen": false, "read_only": false} -list_files = ['/Volumes/my_book_thunderbolt_duo/IPTS/IPTS-Das-Saikat/only_data_of_interest/image_00544.tif', - '/Volumes/my_book_thunderbolt_duo/IPTS/IPTS-Das-Saikat/only_data_of_interest/image_00545.tif', - '/Volumes/my_book_thunderbolt_duo/IPTS/IPTS-Das-Saikat/only_data_of_interest/image_00546.tif', - '/Volumes/my_book_thunderbolt_duo/IPTS/IPTS-Das-Saikat/only_data_of_interest/image_00547.tif', - '/Volumes/my_book_thunderbolt_duo/IPTS/IPTS-Das-Saikat/only_data_of_interest/image_00548.tif', - ] - -list_files = ['/Volumes/my_book_thunderbolt_duo/IPTS/IPTS-15177/Sample5_uptake_no bad images/Sample5_1min_r_0.tif', - '/Volumes/my_book_thunderbolt_duo/IPTS/IPTS-15177/Sample5_uptake_no bad images/Sample5_1min_r_1.tif', - '/Volumes/my_book_thunderbolt_duo/IPTS/IPTS-15177/Sample5_uptake_no bad images/Sample5_1min_r_2.tif', - '/Volumes/my_book_thunderbolt_duo/IPTS/IPTS-15177/Sample5_uptake_no bad images/Sample5_1min_r_3.tif', - '/Volumes/my_book_thunderbolt_duo/IPTS/IPTS-15177/Sample5_uptake_no bad images/Sample5_1min_r_4.tif', - ] - -list_files = ["/Users/j35/IPTS/charles/im0000.tif", - "/Users/j35/IPTS/charles/im0320.tif", - "/Users/j35/IPTS/charles/im0321.tif", - "/Users/j35/IPTS/charles/im0322.tif", - "/Users/j35/IPTS/charles/im0323.tif", - "/Users/j35/IPTS/charles/im0324.tif", - "/Users/j35/IPTS/charles/im0325.tif", - "/Users/j35/IPTS/charles/im0326.tif", - ] +list_files = [ + "/Volumes/my_book_thunderbolt_duo/IPTS/IPTS-Das-Saikat/only_data_of_interest/image_00544.tif", + "/Volumes/my_book_thunderbolt_duo/IPTS/IPTS-Das-Saikat/only_data_of_interest/image_00545.tif", + "/Volumes/my_book_thunderbolt_duo/IPTS/IPTS-Das-Saikat/only_data_of_interest/image_00546.tif", + "/Volumes/my_book_thunderbolt_duo/IPTS/IPTS-Das-Saikat/only_data_of_interest/image_00547.tif", + "/Volumes/my_book_thunderbolt_duo/IPTS/IPTS-Das-Saikat/only_data_of_interest/image_00548.tif", +] + +list_files = [ + "/Volumes/my_book_thunderbolt_duo/IPTS/IPTS-15177/Sample5_uptake_no bad images/Sample5_1min_r_0.tif", + "/Volumes/my_book_thunderbolt_duo/IPTS/IPTS-15177/Sample5_uptake_no bad images/Sample5_1min_r_1.tif", + "/Volumes/my_book_thunderbolt_duo/IPTS/IPTS-15177/Sample5_uptake_no bad images/Sample5_1min_r_2.tif", + "/Volumes/my_book_thunderbolt_duo/IPTS/IPTS-15177/Sample5_uptake_no bad images/Sample5_1min_r_3.tif", + "/Volumes/my_book_thunderbolt_duo/IPTS/IPTS-15177/Sample5_uptake_no bad images/Sample5_1min_r_4.tif", +] + +list_files = [ + "/Users/j35/IPTS/charles/im0000.tif", + "/Users/j35/IPTS/charles/im0320.tif", + "/Users/j35/IPTS/charles/im0321.tif", + "/Users/j35/IPTS/charles/im0322.tif", + "/Users/j35/IPTS/charles/im0323.tif", + "/Users/j35/IPTS/charles/im0324.tif", + "/Users/j35/IPTS/charles/im0325.tif", + "/Users/j35/IPTS/charles/im0326.tif", +] o_water = WaterIntakeProfileCalculator() o_water.load_and_plot(list_files) -o_gui = WaterIntakeProfileSelector(dict_data = o_water.dict_files) +o_gui = WaterIntakeProfileSelector(dict_data=o_water.dict_files) o_gui.show() # + run_control={"frozen": false, "read_only": false} -171-66+131 +171 - 66 + 131 # - -236*0.05 - - - +236 * 0.05 diff --git a/notebooks/converted_notebooks/TOPAZ_config_generator.py b/notebooks/converted_notebooks/TOPAZ_config_generator.py index 80f2c0ad..e82e38fd 100755 --- a/notebooks/converted_notebooks/TOPAZ_config_generator.py +++ b/notebooks/converted_notebooks/TOPAZ_config_generator.py @@ -22,13 +22,14 @@ # # Select IPTS # + run_control={"frozen": false, "marked": true, "read_only": false} + from __code import system -from IPython.display import HTML +from __code.topaz_config_generator import ConfigLoader, TopazConfigGenerator -from __code.topaz_config_generator import TopazConfigGenerator, ConfigLoader -system.System.select_working_dir(system_folder='/SNS/TOPAZ/') +system.System.select_working_dir(system_folder="/SNS/TOPAZ/") from __code.__all import custom_style + custom_style.style() # + [markdown] run_control={"frozen": false, "read_only": false} @@ -42,20 +43,19 @@ o_config_loader.select_config_file() # + [markdown] run_control={"frozen": false, "read_only": false} -# # Define Parameters +# # Define Parameters # + run_control={"frozen": false, "read_only": false} -_cfg = TopazConfigGenerator(working_dir=system.System.get_working_dir(), - config_dict_loaded=o_config_loader.config_dict) +_cfg = TopazConfigGenerator(working_dir=system.System.get_working_dir(), config_dict_loaded=o_config_loader.config_dict) # + [markdown] run_control={"frozen": false, "read_only": false} -# # Export the Config File +# # Export the Config File # + run_control={"frozen": false, "read_only": false} _cfg.create_config() # + [markdown] run_control={"frozen": false, "read_only": false} -# # Run Reduction +# # Run Reduction # + run_control={"frozen": false, "read_only": false} _cfg.run_reduction() @@ -64,4 +64,3 @@ # # + run_control={"frozen": false, "read_only": false} - diff --git a/notebooks/converted_notebooks/VENUS_hdf5_monitor_loader.py b/notebooks/converted_notebooks/VENUS_hdf5_monitor_loader.py index fc43008a..59168997 100755 --- a/notebooks/converted_notebooks/VENUS_hdf5_monitor_loader.py +++ b/notebooks/converted_notebooks/VENUS_hdf5_monitor_loader.py @@ -19,9 +19,8 @@ # - - # + [markdown] run_control={"frozen": false, "read_only": false} -# # Select Your IPTS +# # Select Your IPTS # + [markdown] run_control={"frozen": false, "read_only": false} # # Select Event NeXus @@ -32,16 +31,16 @@ # # Manually loading the data -with h5py.File(o_event.input_nexus_file_name, 'r') as nxs: - o_event.x_array = np.array(nxs['events']['x']) - o_event.y_array = np.array(nxs['events']['y']) - o_event.tof_array = np.array(nxs['events']['tof_ns']) +with h5py.File(o_event.input_nexus_file_name, "r") as nxs: + o_event.x_array = np.array(nxs["events"]["x"]) + o_event.y_array = np.array(nxs["events"]["y"]) + o_event.tof_array = np.array(nxs["events"]["tof_ns"]) -# # Some statistics +# # Some statistics o_event.display_infos() -# # Define MCP detector size +# # Define MCP detector size o_event.define_detector() @@ -53,18 +52,16 @@ o_event.bins() -# # Display integrated stack +# # Display integrated stack o_event.display_integrated_stack() -# # Display slices +# # Display slices o_event.display_slices() -# # Export Histogram HDF5 +# # Export Histogram HDF5 o_event.define_output_filename() o_event.select_output_location() - - diff --git a/notebooks/converted_notebooks/bin_images.py b/notebooks/converted_notebooks/bin_images.py index fd3e1e42..7a9f537b 100755 --- a/notebooks/converted_notebooks/bin_images.py +++ b/notebooks/converted_notebooks/bin_images.py @@ -17,33 +17,33 @@ # # + [markdown] run_control={"frozen": false, "read_only": false} -# # Select Your IPTS +# # Select Your IPTS # + run_control={"frozen": false, "read_only": false} -from __code.bin.bin_images import BinHandler from __code import system -system.System.select_working_dir(notebook='bin_images') +from __code.bin.bin_images import BinHandler + +system.System.select_working_dir(notebook="bin_images") from __code.__all import custom_style + custom_style.style() # + [markdown] run_control={"frozen": false, "read_only": false} # # Select Images to Rebin # + run_control={"frozen": false, "read_only": false} -o_bin = BinHandler(working_dir = system.System.get_working_dir()) +o_bin = BinHandler(working_dir=system.System.get_working_dir()) o_bin.select_images() # + [markdown] run_control={"frozen": false, "read_only": false} -# # Select Bin Parameter +# # Select Bin Parameter # + run_control={"frozen": false, "read_only": false} o_bin.select_bin_parameter() # + [markdown] run_control={"frozen": false, "read_only": false} -# # Export +# # Export # + run_control={"frozen": false, "read_only": false} o_bin.select_export_folder() # - - - diff --git a/notebooks/converted_notebooks/bragg_edge_modeling.py b/notebooks/converted_notebooks/bragg_edge_modeling.py index 685bebbf..5f03b168 100755 --- a/notebooks/converted_notebooks/bragg_edge_modeling.py +++ b/notebooks/converted_notebooks/bragg_edge_modeling.py @@ -15,14 +15,13 @@ # # Tools # + -from matplotlib import pyplot as plt -import numpy as np, os, glob - -from diffpy.Structure import loadStructure -import base64 +import numpy as np +from bem import matter, xscalc +from bem import xtaloriprobmodel as xopm from diffpy.structure.parsers import getParser -from bem import matter, xscalc, xtaloriprobmodel as xopm +from matplotlib import pyplot as plt + # - # %matplotlib inline @@ -30,17 +29,20 @@ # # Isotropic Model # calculate xs -import numpy as np wavelengths = np.arange(0.05, 5.5, 0.001) T = 300 -# ## Manual input +# ## Manual input # create material -atoms = [matter.Atom('Ni0+', (0,0,0)), matter.Atom('Ni', (0.5, 0.5, 0)), - matter.Atom('Ni', (0.5,0,0.5)), matter.Atom('Ni', (0, 0.5, 0.5))] -a=3.5238 -alpha = 90. +atoms = [ + matter.Atom("Ni0+", (0, 0, 0)), + matter.Atom("Ni", (0.5, 0.5, 0)), + matter.Atom("Ni", (0.5, 0, 0.5)), + matter.Atom("Ni", (0, 0.5, 0.5)), +] +a = 3.5238 +alpha = 90.0 lattice = matter.Lattice(a=a, b=a, c=a, alpha=alpha, beta=alpha, gamma=alpha) fccNi = matter.Structure(atoms, lattice, sgid=225) @@ -48,25 +50,27 @@ calc = xscalc.XSCalculator(fccNi_1, T, max_diffraction_index=4) -# ## Using CIF file +# ## Using CIF file cif_file = "/Users/j35/git/NEUIT/static/cif/ni.cif" -#cif_file = "/Users/j35/git/NEUIT/static/cif/Cu.cif" -#cif_file = "/Users/j35/git/NEUIT/static/cif/EntryWithCollCode9805.cif" +# cif_file = "/Users/j35/git/NEUIT/static/cif/Cu.cif" +# cif_file = "/Users/j35/git/NEUIT/static/cif/EntryWithCollCode9805.cif" -# ### reading manually +# ### reading manually # + -with open(cif_file, 'r') as f: +with open(cif_file) as f: cif_file_content = f.read() + def parse_cif_upload(content): cif_s = content - p = getParser('cif') + p = getParser("cif") struc = p.parse(cif_s) struc.sg = p.spacegroup return struc + fcc_2a = parse_cif_upload(cif_file_content) # - @@ -82,7 +86,7 @@ def parse_cif_upload(content): calc = xscalc.XSCalculator(fcc_2a, T, max_diffraction_index=4) -# ### reading via loadStructure +# ### reading via loadStructure # + # fcc_2b = loadStructure(cif_file, fmt='cif') @@ -96,25 +100,24 @@ def parse_cif_upload(content): # calc = xscalc.XSCalculator(fcc_2b, T, max_diffraction_index=4) # - -# ## Calculation +# ## Calculation xs = calc.xs(wavelengths) plt.plot(wavelengths, xs) - inc_inel_xs = [calc.xs_inc_inel(l) for l in wavelengths] coh_el_xs = [calc.xs_coh_el(l) for l in wavelengths] inc_el_xs = [calc.xs_inc_el(l) for l in wavelengths] inel_xs = [calc.xs_inel(l) for l in wavelengths] abs_xs = np.array([calc.xs_abs(l) for l in wavelengths]) -plt.plot(wavelengths, inc_inel_xs, label='incoherent inelastic') -plt.plot(wavelengths, coh_el_xs, label='coherent elastic') -plt.plot(wavelengths, inc_el_xs, label='incoherent elastic') -plt.plot(wavelengths, inel_xs, label='inelastic') -plt.plot(wavelengths, abs_xs, label='absorption') -plt.plot(wavelengths, abs_xs+coh_el_xs+inc_el_xs+inel_xs+inc_inel_xs, label='sum') +plt.plot(wavelengths, inc_inel_xs, label="incoherent inelastic") +plt.plot(wavelengths, coh_el_xs, label="coherent elastic") +plt.plot(wavelengths, inc_el_xs, label="incoherent elastic") +plt.plot(wavelengths, inel_xs, label="inelastic") +plt.plot(wavelengths, abs_xs, label="absorption") +plt.plot(wavelengths, abs_xs + coh_el_xs + inc_el_xs + inel_xs + inc_inel_xs, label="sum") plt.legend() # # With texture @@ -124,7 +127,7 @@ def parse_cif_upload(content): # by default, r for all hkl are 1. # use the following form to change r # make sure l>k>h -texture_model.r[(0,0,1)] = 2 +texture_model.r[(0, 0, 1)] = 2 # similarly beta can be changed # texture_model.beta[(0,0,1)] = np.pi/2 @@ -143,5 +146,3 @@ def parse_cif_upload(content): xs = calc.xs(wavelengths) plt.plot(wavelengths, xs) - - diff --git a/notebooks/converted_notebooks/bragg_edge_normalization.py b/notebooks/converted_notebooks/bragg_edge_normalization.py index 834d06ca..66fc0dd9 100755 --- a/notebooks/converted_notebooks/bragg_edge_normalization.py +++ b/notebooks/converted_notebooks/bragg_edge_normalization.py @@ -17,21 +17,23 @@ # # + [markdown] run_control={"frozen": false, "read_only": false} -# # Select Your IPTS +# # Select Your IPTS # + run_control={"frozen": false, "read_only": false} from __code import system from __code.bragg_edge.bragg_edge_normalization import BraggEdge -system.System.select_working_dir(facility='SNS', instrument='SNAP', notebook='bragg_edge_normalization') +system.System.select_working_dir(facility="SNS", instrument="SNAP", notebook="bragg_edge_normalization") from __code.__all import custom_style + custom_style.style() -from plotly.offline import plot, init_notebook_mode, iplot +from plotly.offline import init_notebook_mode + init_notebook_mode() # - -# ## Prepare UI Engine +# ## Prepare UI Engine # + run_control={"frozen": false, "read_only": false} # %gui qt @@ -45,14 +47,10 @@ o_bragg.select_working_folder() # - -# # Select mode of normalization +# # Select mode of normalization o_bragg.normalization_settings_widgets() # # Export Normalized Data and Time Spectra File o_bragg.normalization() - - - - diff --git a/notebooks/converted_notebooks/bragg_edge_normalization_and_profile_extractor.py b/notebooks/converted_notebooks/bragg_edge_normalization_and_profile_extractor.py index caf9ab75..b096a787 100755 --- a/notebooks/converted_notebooks/bragg_edge_normalization_and_profile_extractor.py +++ b/notebooks/converted_notebooks/bragg_edge_normalization_and_profile_extractor.py @@ -17,22 +17,24 @@ # # + [markdown] run_control={"frozen": false, "read_only": false} -# # Select Your IPTS +# # Select Your IPTS # + run_control={"frozen": false, "read_only": false} from __code import system -from __code.bragg_edge.bragg_edge_normalization import BraggEdge from __code.bragg_edge.bragg_edge import Interface +from __code.bragg_edge.bragg_edge_normalization import BraggEdge -system.System.select_working_dir(facility='SNS', instrument='SNAP') +system.System.select_working_dir(facility="SNS", instrument="SNAP") from __code.__all import custom_style + custom_style.style() -from plotly.offline import plot, init_notebook_mode, iplot +from plotly.offline import init_notebook_mode + init_notebook_mode() # - -# ## Prepare UI engine +# ## Prepare UI engine # + run_control={"frozen": false, "read_only": false} # %gui qt @@ -47,7 +49,7 @@ o_bragg.select_working_folder() # - -# # Select Open Beam Input Folder +# # Select Open Beam Input Folder o_bragg.select_ob_folder() @@ -70,11 +72,11 @@ o_interface.show() # - -# ## Perform normalization +# ## Perform normalization o_bragg.normalization(list_rois=o_interface.roi_selected) -# ## Export normalized data +# ## Export normalized data o_bragg.export_normalized_data() @@ -87,7 +89,7 @@ o_bragg.exp_setup() # - -# ## Define the position of your sample +# ## Define the position of your sample o_interface_sample = Interface(data=o_bragg.final_image) o_interface_sample.show() @@ -102,13 +104,11 @@ # # Display Bragg Edges vs Signal # - -# Run the next cell **only if** you want to display the signal Counts vs lambda +# Run the next cell **only if** you want to display the signal Counts vs lambda # + run_control={"frozen": false, "read_only": false} o_bragg.plot() # - -# # Export ASCII Data +# # Export ASCII Data o_bragg.select_output_data_folder() - - diff --git a/notebooks/converted_notebooks/bragg_edge_normalized_sample_and_powder.py b/notebooks/converted_notebooks/bragg_edge_normalized_sample_and_powder.py index fe1086df..3ea7b271 100755 --- a/notebooks/converted_notebooks/bragg_edge_normalized_sample_and_powder.py +++ b/notebooks/converted_notebooks/bragg_edge_normalized_sample_and_powder.py @@ -18,17 +18,19 @@ # # + [markdown] run_control={"frozen": false, "read_only": false} -# # Select Your IPTS +# # Select Your IPTS # + run_control={"frozen": false, "read_only": false} from __code import system from __code.bragg_edge.bragg_edge import BraggEdge, Interface -system.System.select_working_dir(facility='SNS', instrument='SNAP', notebook='bragg_edge_normalized_sample_and_powder') +system.System.select_working_dir(facility="SNS", instrument="SNAP", notebook="bragg_edge_normalized_sample_and_powder") from __code.__all import custom_style + custom_style.style() -from plotly.offline import plot, init_notebook_mode, iplot +from plotly.offline import init_notebook_mode + init_notebook_mode() # + run_control={"frozen": false, "read_only": false} @@ -58,11 +60,11 @@ o_interface.show() # - -# # Powder element(s) to use to compare data +# # Powder element(s) to use to compare data o_bragg.list_elements() -# ## List Bragg Edges +# ## List Bragg Edges o_bragg.list_powder_bragg_edges() o_bragg.bragg_edges @@ -81,5 +83,3 @@ o_bragg.load_time_spectra() o_bragg.plot() # - - - diff --git a/notebooks/converted_notebooks/bragg_edge_peak_fitting.py b/notebooks/converted_notebooks/bragg_edge_peak_fitting.py index 54e6609e..00009ecc 100755 --- a/notebooks/converted_notebooks/bragg_edge_peak_fitting.py +++ b/notebooks/converted_notebooks/bragg_edge_peak_fitting.py @@ -17,21 +17,22 @@ # # + [markdown] run_control={"frozen": false, "read_only": false} -# # Select Your IPTS +# # Select Your IPTS # + run_control={"frozen": false, "read_only": false} from __code import system from __code.bragg_edge.bragg_edge_peak_fitting import BraggEdge, Interface -system.System.select_working_dir(facility='SNS', instrument='VENUS') +system.System.select_working_dir(facility="SNS", instrument="VENUS") from __code.__all import custom_style + custom_style.style() # from plotly.offline import plot, init_notebook_mode, iplot # init_notebook_mode() # - -# ## Prepare UI engine +# ## Prepare UI engine # + run_control={"frozen": false, "read_only": false} # %gui qt @@ -46,7 +47,7 @@ o_bragg.select_working_folder() # - -# # Select Open Beam Data Input folder +# # Select Open Beam Data Input folder # + jupyter={"outputs_hidden": true} o_bragg.select_ob_folder() @@ -58,7 +59,7 @@ o_bragg.how_many_data_to_use_to_select_sample_roi() -# ### fit ui +# ### fit ui o_interface = Interface(o_bragg=o_bragg, spectra_file=o_bragg.spectra_file) o_interface.show() @@ -73,6 +74,7 @@ data_path = "/Users/j35/IPTS/VENUS/IPTS-25778_normalized" import glob import os + list_data = glob.glob(data_path + "*.tif") spectra_file = os.path.join(data_path, "Image019_Spectra.txt") assert os.path.exists(spectra_file) @@ -80,12 +82,10 @@ o_bragg = BraggEdge(working_dir=data_path) o_bragg.load_data(data_path) -o_interface = Interface(o_bragg=o_bragg, - working_dir=data_path, - spectra_file=spectra_file) +o_interface = Interface(o_bragg=o_bragg, working_dir=data_path, spectra_file=spectra_file) o_interface.show() -# # DEBUGGING using import straight +# # DEBUGGING using import straight from __code import system from __code.bragg_edge.bragg_edge_peak_fitting import BraggEdge, Interface @@ -95,5 +95,3 @@ data_path = "/Users/j35/IPTS/SNAP/Si_normalized" o_interface = Interface(working_dir=data_path) o_interface.show() - - diff --git a/notebooks/converted_notebooks/bragg_edge_peak_fitting_evaluation.py b/notebooks/converted_notebooks/bragg_edge_peak_fitting_evaluation.py index cda584d7..a491e566 100755 --- a/notebooks/converted_notebooks/bragg_edge_peak_fitting_evaluation.py +++ b/notebooks/converted_notebooks/bragg_edge_peak_fitting_evaluation.py @@ -17,21 +17,23 @@ # # + [markdown] run_control={"frozen": false, "read_only": false} -# # Select Your IPTS +# # Select Your IPTS # + run_control={"frozen": false, "read_only": false} from __code import system from __code.bragg_edge.bragg_edge_peak_fitting_evaluation import BraggEdge, Interface -system.System.select_working_dir(facility='SNS', instrument='VENUS') +system.System.select_working_dir(facility="SNS", instrument="VENUS") from __code.__all import custom_style + custom_style.style() -from plotly.offline import plot, init_notebook_mode, iplot +from plotly.offline import init_notebook_mode + init_notebook_mode() # - -# ## Prepare UI engine +# ## Prepare UI engine # + run_control={"frozen": false, "read_only": false} # %gui qt @@ -46,7 +48,7 @@ o_bragg.select_working_folder() # - -# # Select Open Beam Data Input folder +# # Select Open Beam Data Input folder # + jupyter={"outputs_hidden": true} o_bragg.select_ob_folder() @@ -58,32 +60,32 @@ o_bragg.how_many_data_to_use_to_select_sample_roi() -# ### fit ui +# ### fit ui o_interface = Interface(o_bragg=o_bragg, spectra_file=o_bragg.spectra_file) o_interface.show() # # DEBUGGING -from __code import system -from __code.bragg_edge.peak_fitting_evaluation.bragg_edge_peak_fitting import BraggEdge, Interface - # %gui qt - # + import os +from __code import system +from __code.bragg_edge.peak_fitting_evaluation.bragg_edge_peak_fitting import BraggEdge, Interface + # small data set # data_path = "/Volumes/G-DRIVE/IPTS/VENUS/shared/testing_normalized/" # spectra_file = os.path.join(data_path, "Image019_Spectra.txt") # full data set -#data_path = "/Volumes/G-DRIVE/IPTS/SNAP/Si_normalized/Si_powder_1_Angs_20C_corrected_normalized" -#spectra_file = os.path.join(data_path, "normalized_Spectra.txt") +# data_path = "/Volumes/G-DRIVE/IPTS/SNAP/Si_normalized/Si_powder_1_Angs_20C_corrected_normalized" +# spectra_file = os.path.join(data_path, "normalized_Spectra.txt") data_path = "/Volumes/G-DRIVE/IPTS/IPTS-26171-testing_ibeatles/10_InconelPowder_1.5Hrs_Corrected_normalized/" spectra_file = "/Volumes/G-DRIVE/IPTS/IPTS-26171-testing_ibeatles/10_InconelPowder_1.5Hrs_Corrected_normalized/20210910_Run_52256_InconelPowder_0008_0646026_Spectra.txt" import glob + list_data = glob.glob(data_path + "*.tif") assert os.path.exists(spectra_file) @@ -91,22 +93,11 @@ o_bragg.load_data(data_path) # - -o_interface = Interface(o_bragg=o_bragg, - working_dir=data_path, - spectra_file=spectra_file) +o_interface = Interface(o_bragg=o_bragg, working_dir=data_path, spectra_file=spectra_file) o_interface.show() - - - - - - - - - -# # DEBUGGING using import straight +# # DEBUGGING using import straight from __code import system from __code.bragg_edge.peak_fitting_evaluation.bragg_edge_peak_fitting import BraggEdge, Interface @@ -116,9 +107,3 @@ data_path = "/Volumes/G-Drive/IPTS/SNAP/Si_normalized/Si_powder_1_Angs_20C_corrected_normalized" o_interface = Interface(working_dir=data_path) o_interface.show() - - - - - - diff --git a/notebooks/converted_notebooks/bragg_edge_profile.py b/notebooks/converted_notebooks/bragg_edge_profile.py index 558a386b..19e28058 100755 --- a/notebooks/converted_notebooks/bragg_edge_profile.py +++ b/notebooks/converted_notebooks/bragg_edge_profile.py @@ -17,22 +17,24 @@ # # + [markdown] run_control={"frozen": false, "read_only": false} -# # Select Your IPTS +# # Select Your IPTS # + run_control={"frozen": false, "read_only": false} from __code import system -from __code.bragg_edge.bragg_edge_normalization import BraggEdge from __code.bragg_edge.bragg_edge import Interface +from __code.bragg_edge.bragg_edge_normalization import BraggEdge -system.System.select_working_dir(facility='SNS', instrument='VENUS', notebook='bragg_edge_profile') +system.System.select_working_dir(facility="SNS", instrument="VENUS", notebook="bragg_edge_profile") from __code.__all import custom_style + custom_style.style() -from plotly.offline import plot, init_notebook_mode, iplot +from plotly.offline import init_notebook_mode + init_notebook_mode() # - -# ## Prepare UI engine +# ## Prepare UI engine # + run_control={"frozen": false, "read_only": false} # %gui qt @@ -62,7 +64,7 @@ o_bragg.how_many_data_to_use_to_select_sample_roi() -# ### Select the sample position +# ### Select the sample position o_interface_sample = Interface(data=o_bragg.get_image_to_use_for_display()) o_interface_sample.show() @@ -77,13 +79,11 @@ # # Display Bragg Edges vs Signal # - -# Run the next cell **only if** you want to display the signal Counts vs lambda +# Run the next cell **only if** you want to display the signal Counts vs lambda # + run_control={"frozen": false, "read_only": false} o_bragg.plot() # - -# # Export ASCII Data +# # Export ASCII Data o_bragg.select_output_data_folder() - - diff --git a/notebooks/converted_notebooks/bragg_edge_raw_sample_and_powder.py b/notebooks/converted_notebooks/bragg_edge_raw_sample_and_powder.py index 4e9d3674..0db0f265 100755 --- a/notebooks/converted_notebooks/bragg_edge_raw_sample_and_powder.py +++ b/notebooks/converted_notebooks/bragg_edge_raw_sample_and_powder.py @@ -18,22 +18,24 @@ # # + [markdown] run_control={"frozen": false, "read_only": false} -# # Select Your IPTS +# # Select Your IPTS # + run_control={"frozen": false, "read_only": false} from __code import system -from __code.bragg_edge.bragg_edge_raw_sample_and_powder import BraggEdge from __code.bragg_edge.bragg_edge import Interface +from __code.bragg_edge.bragg_edge_raw_sample_and_powder import BraggEdge -system.System.select_working_dir(facility='SNS', instrument='SNAP', notebook='bragg_edge_raw_sample_and_powder') +system.System.select_working_dir(facility="SNS", instrument="SNAP", notebook="bragg_edge_raw_sample_and_powder") from __code.__all import custom_style + custom_style.style() -from plotly.offline import plot, init_notebook_mode, iplot +from plotly.offline import init_notebook_mode + init_notebook_mode() # - -# ## Prepare UI engine +# ## Prepare UI engine # + run_control={"frozen": false, "read_only": false} # %gui qt @@ -48,7 +50,7 @@ o_bragg.select_working_folder() # - -# # Select Open Beam Input Folder +# # Select Open Beam Input Folder o_bragg.select_ob_folder() @@ -69,19 +71,19 @@ o_background.show() # - -# # Normalize Data +# # Normalize Data o_bragg.normalization(o_background=o_background) -# # Powder Element(s) to Use to Compare the Bragg Edges +# # Powder Element(s) to Use to Compare the Bragg Edges o_bragg.list_elements() -# ## List Bragg Edges +# ## List Bragg Edges o_bragg.list_powder_bragg_edges() -# # Select Sample ROI +# # Select Sample ROI o_sample = Interface(data=o_bragg.final_image) o_sample.show() @@ -93,7 +95,7 @@ o_bragg.exp_setup() # - -# # Calculate Bragg Edges Data +# # Calculate Bragg Edges Data o_bragg.calculate_counts_vs_file_index_of_regions_selected(list_roi=o_sample.list_roi) o_bragg.load_time_spectra() @@ -102,15 +104,13 @@ # # Display Bragg Edges vs Signal # - -# Run the next cell **only if** you want to display the signal Counts vs lambda +# Run the next cell **only if** you want to display the signal Counts vs lambda # + run_control={"frozen": false, "read_only": false} o_bragg.plot() # - -# # Export Data +# # Export Data o_bragg.select_output_data_folder() o_bragg.select_output_table_folder() - - diff --git a/notebooks/converted_notebooks/bragg_edge_sample_and_powder.py b/notebooks/converted_notebooks/bragg_edge_sample_and_powder.py index b0bb5075..0044b717 100755 --- a/notebooks/converted_notebooks/bragg_edge_sample_and_powder.py +++ b/notebooks/converted_notebooks/bragg_edge_sample_and_powder.py @@ -16,22 +16,24 @@ # # + [markdown] run_control={"frozen": false, "read_only": false} -# # Select Your IPTS +# # Select Your IPTS # + run_control={"frozen": false, "read_only": false} from __code import system -from __code.bragg_edge.bragg_edge_sample_and_powder import BraggEdge from __code.bragg_edge.bragg_edge import Interface +from __code.bragg_edge.bragg_edge_sample_and_powder import BraggEdge -system.System.select_working_dir(facility='SNS', instrument='SNAP') +system.System.select_working_dir(facility="SNS", instrument="SNAP") from __code.__all import custom_style + custom_style.style() -from plotly.offline import plot, init_notebook_mode, iplot +from plotly.offline import init_notebook_mode + init_notebook_mode() # - -# ## Prepare UI engine +# ## Prepare UI engine # + run_control={"frozen": false, "read_only": false} # %gui qt @@ -46,11 +48,11 @@ o_bragg.select_working_folder() # - -# # Select Open Beam Input Folder +# # Select Open Beam Input Folder o_bragg.select_ob_folder() -# # Select ROI of sample +# # Select ROI of sample # + [markdown] run_control={"frozen": false, "read_only": false} # ### Select how many random files to use to select sample position @@ -67,15 +69,15 @@ o_interface.show() # - -# # Normalize Data +# # Normalize Data o_bragg.normalization_with_ob(list_rois=o_interface.list_roi) -# # Powder element(s) to use to compare data +# # Powder element(s) to use to compare data o_bragg.list_elements() -# ## List Bragg Edges +# ## List Bragg Edges o_bragg.list_powder_bragg_edges() @@ -86,7 +88,7 @@ o_bragg.exp_setup() # - -# # Calculate Bragg Edges Data +# # Calculate Bragg Edges Data o_bragg.calculate_counts_vs_file_index_of_regions_selected(list_roi=o_interface.list_roi) o_bragg.load_time_spectra() @@ -95,13 +97,11 @@ # # Display Bragg Edges vs Signal # - -# Run the next cell **only if** you want to display the signal Counts vs lambda +# Run the next cell **only if** you want to display the signal Counts vs lambda # + run_control={"frozen": false, "read_only": false} o_bragg.plot() # - -# # Export Data +# # Export Data o_bragg.select_output_data_folder() - - diff --git a/notebooks/converted_notebooks/bragg_edge_signal_vs_powder_peaks.py b/notebooks/converted_notebooks/bragg_edge_signal_vs_powder_peaks.py index 6e8926c4..784c9e04 100755 --- a/notebooks/converted_notebooks/bragg_edge_signal_vs_powder_peaks.py +++ b/notebooks/converted_notebooks/bragg_edge_signal_vs_powder_peaks.py @@ -18,17 +18,19 @@ # # + [markdown] run_control={"frozen": false, "read_only": false} -# # Select Your IPTS +# # Select Your IPTS # + run_control={"frozen": false, "read_only": false} from __code import system from __code.bragg_edge.bragg_edge import BraggEdge, Interface -system.System.select_working_dir(facility='SNS', instrument='SNAP') +system.System.select_working_dir(facility="SNS", instrument="SNAP") from __code.__all import custom_style + custom_style.style() -from plotly.offline import plot, init_notebook_mode, iplot +from plotly.offline import init_notebook_mode + init_notebook_mode() # + run_control={"frozen": false, "read_only": false} @@ -58,11 +60,11 @@ o_interface.show() # - -# # Powder element(s) to use to compare data +# # Powder element(s) to use to compare data o_bragg.list_elements() -# ## List Bragg Edges +# ## List Bragg Edges o_bragg.list_powder_bragg_edges() @@ -80,5 +82,3 @@ o_bragg.load_time_spectra() o_bragg.plot() # - - - diff --git a/notebooks/converted_notebooks/bragg_edge_tof_to_lambda_conversion.py b/notebooks/converted_notebooks/bragg_edge_tof_to_lambda_conversion.py index e4299d5c..0ee34de3 100755 --- a/notebooks/converted_notebooks/bragg_edge_tof_to_lambda_conversion.py +++ b/notebooks/converted_notebooks/bragg_edge_tof_to_lambda_conversion.py @@ -18,14 +18,15 @@ # # + [markdown] run_control={"frozen": false, "read_only": false} -# # Select Your IPTS +# # Select Your IPTS # + run_control={"frozen": false, "read_only": false} from __code import system -from __code.bragg_edge.bragg_edge import BraggEdge, Interface +from __code.bragg_edge.bragg_edge import BraggEdge -system.System.select_working_dir(facility='SNS', instrument='SNAP') +system.System.select_working_dir(facility="SNS", instrument="SNAP") from __code.__all import custom_style + custom_style.style() # + [markdown] run_control={"frozen": false, "read_only": false} @@ -46,7 +47,7 @@ # + run_control={"frozen": false, "read_only": false} o_bragg.load_time_spectra() -#o_bragg.calculate_counts_vs_file_index_of_regions_selected(list_roi=o_interface.list_roi) +# o_bragg.calculate_counts_vs_file_index_of_regions_selected(list_roi=o_interface.list_roi) # - o_bragg.lambda_array @@ -54,22 +55,15 @@ o_bragg.tof_array - - - # + run_control={"frozen": false, "read_only": false} -from plotly.offline import plot, init_notebook_mode, iplot +from plotly.offline import init_notebook_mode, iplot + init_notebook_mode() -import plotly.plotly as py import plotly.graph_objs as go -from plotly import tools -from ipywidgets.widgets import interact -from ipywidgets import widgets # - - # + run_control={"frozen": false, "read_only": false} bragg_edges = o_bragg.bragg_edges hkl = o_bragg.hkl @@ -85,23 +79,16 @@ _hkl_s = _material + "\n" + _hkl_s _hkl_string.append(_hkl_s) _hkl_formated[_material] = _hkl_string - -trace = go.Scatter( - x = o_bragg.lambda_array, - y = o_bragg.counts_vs_file_index, - mode = 'markers') + +trace = go.Scatter(x=o_bragg.lambda_array, y=o_bragg.counts_vs_file_index, mode="markers") layout = go.Layout( - width = "100%", - height = 500, - title = "Sum Counts vs TOF", - xaxis = dict( - title = "Lambda (Angstroms)" - ), - yaxis = dict( - title = "Sum Counts" - ), - ) + width="100%", + height=500, + title="Sum Counts vs TOF", + xaxis=dict(title="Lambda (Angstroms)"), + yaxis=dict(title="Sum Counts"), +) max_x = 6 y_off = 1 @@ -110,42 +97,36 @@ for _index, _value in enumerate(bragg_edges[_material]): if _value > max_x: continue - bragg_line = {"type": "line", - 'x0': _value, - 'x1': _value, - 'yref': "paper", - 'y0': 0, - 'y1': 1, - 'line': { - 'color': 'rgb(255, 0, 0)', - 'width': 1 - }} + bragg_line = { + "type": "line", + "x0": _value, + "x1": _value, + "yref": "paper", + "y0": 0, + "y1": 1, + "line": {"color": "rgb(255, 0, 0)", "width": 1}, + } layout.shapes.append(bragg_line) y_off = 1 - 0.25 * y_index - + # add labels to plots _annot = dict( - x=_value, - y= y_off, - text = _hkl_formated[_material][_index], - yref="paper", - font=dict( - family="Arial", - size=16, - color="rgb(150,50,50)" - ), - showarrow=True, - arrowhead=3, - ax=0, - ay=-25) - + x=_value, + y=y_off, + text=_hkl_formated[_material][_index], + yref="paper", + font=dict(family="Arial", size=16, color="rgb(150,50,50)"), + showarrow=True, + arrowhead=3, + ax=0, + ay=-25, + ) + layout.annotations.append(_annot) - + data = [trace] figure = go.Figure(data=data, layout=layout) iplot(figure) # - - - diff --git a/notebooks/converted_notebooks/calibrated_transmission.py b/notebooks/converted_notebooks/calibrated_transmission.py index 3bfe0185..0fb23111 100755 --- a/notebooks/converted_notebooks/calibrated_transmission.py +++ b/notebooks/converted_notebooks/calibrated_transmission.py @@ -19,19 +19,20 @@ # # + [markdown] run_control={"frozen": false, "read_only": false} -# # Select your IPTS +# # Select your IPTS # + run_control={"frozen": false, "read_only": false} from __code import system -from __code.ipywe.myfileselector import FileSelection from __code.calibrated_transmission.calibrated_transmission import CalibratedTransmissionUi +from __code.ipywe.myfileselector import FileSelection -system.System.select_working_dir(notebook='calibrated_transmission') +system.System.select_working_dir(notebook="calibrated_transmission") from __code.__all import custom_style + custom_style.style() # + [markdown] run_control={"frozen": false, "read_only": false} -# # Python Import +# # Python Import # + run_control={"frozen": false, "read_only": false} # %gui qt @@ -44,12 +45,12 @@ o_selection.select_data() # + [markdown] run_control={"frozen": false, "read_only": false} -# # Launch UI +# # Launch UI # + run_control={"frozen": false, "read_only": false} -o_calibration = CalibratedTransmissionUi(working_dir=system.System.get_working_dir(), - data_dict=o_selection.data_dict['sample']) +o_calibration = CalibratedTransmissionUi( + working_dir=system.System.get_working_dir(), data_dict=o_selection.data_dict["sample"] +) o_calibration.show() # + run_control={"frozen": false, "read_only": false} - diff --git a/notebooks/converted_notebooks/circular_profile_of_a_ring.py b/notebooks/converted_notebooks/circular_profile_of_a_ring.py index e5a1f48a..6ac6cd9c 100755 --- a/notebooks/converted_notebooks/circular_profile_of_a_ring.py +++ b/notebooks/converted_notebooks/circular_profile_of_a_ring.py @@ -23,14 +23,16 @@ # + run_control={"frozen": false, "read_only": false} import warnings -warnings.filterwarnings('ignore') -from __code.circular_profile_of_a_ring.interface_handler import InterfaceHandler -from __code.circular_profile_of_a_ring.circular_profile_of_a_ring import CircularProfileOfARing +warnings.filterwarnings("ignore") from __code import system -system.System.select_working_dir(notebook='circular_profile_of_a_ring') +from __code.circular_profile_of_a_ring.circular_profile_of_a_ring import CircularProfileOfARing +from __code.circular_profile_of_a_ring.interface_handler import InterfaceHandler + +system.System.select_working_dir(notebook="circular_profile_of_a_ring") from __code.__all import custom_style + custom_style.style() # + run_control={"frozen": false, "read_only": false} @@ -47,8 +49,5 @@ # # Launch User Interface # + run_control={"frozen": false, "read_only": false} -o_select = InterfaceHandler(working_dir=system.System.get_working_dir(), - o_norm=o_selection.o_norm) +o_select = InterfaceHandler(working_dir=system.System.get_working_dir(), o_norm=o_selection.o_norm) # - - - diff --git a/notebooks/converted_notebooks/combine_all_images_selected.py b/notebooks/converted_notebooks/combine_all_images_selected.py index ad256c6e..4edbb106 100755 --- a/notebooks/converted_notebooks/combine_all_images_selected.py +++ b/notebooks/converted_notebooks/combine_all_images_selected.py @@ -17,17 +17,19 @@ # # + [markdown] run_control={"frozen": false, "read_only": false} -# # Select Your IPTS +# # Select Your IPTS # + run_control={"frozen": false, "read_only": false} -from __code.combine_images import CombineImages from __code import system -system.System.select_working_dir(notebook='combine_all_images_selected') +from __code.combine_images import CombineImages + +system.System.select_working_dir(notebook="combine_all_images_selected") from __code.__all import custom_style + custom_style.style() # + [markdown] run_control={"frozen": false, "read_only": false} -# # Select Images to Merge +# # Select Images to Merge # + run_control={"frozen": false, "read_only": false} o_merge = CombineImages(working_dir=system.System.get_working_dir()) @@ -40,7 +42,7 @@ o_merge.how_to_combine() # + [markdown] run_control={"frozen": false, "read_only": false} -# # Select Output Folder +# # Select Output Folder # + run_control={"frozen": false, "read_only": false} o_merge.select_output_folder() @@ -49,10 +51,8 @@ o_merge.define_output_filename() # + [markdown] run_control={"frozen": false, "read_only": false} -# # Merging +# # Merging # + run_control={"frozen": false, "read_only": false} o_merge.merging() # - - - diff --git a/notebooks/converted_notebooks/combine_folders.py b/notebooks/converted_notebooks/combine_folders.py index 3e6dfab3..345b87a4 100755 --- a/notebooks/converted_notebooks/combine_folders.py +++ b/notebooks/converted_notebooks/combine_folders.py @@ -16,17 +16,19 @@ # # -# # Select Your IPTS +# # Select Your IPTS # + run_control={"frozen": false, "read_only": false} -from __code.combine_folders import CombineFolders from __code import system -system.System.select_working_dir(notebook='combine_folders') +from __code.combine_folders import CombineFolders + +system.System.select_working_dir(notebook="combine_folders") from __code.__all import custom_style + custom_style.style() # + [markdown] run_control={"frozen": false, "read_only": false} -# # Select Folders to Merge +# # Select Folders to Merge # + run_control={"frozen": false, "read_only": false} o_merge = CombineFolders(working_dir=system.System.get_working_dir()) @@ -58,10 +60,8 @@ o_merge.extra_files() # + [markdown] run_control={"frozen": false, "read_only": false} -# # Select Output Folder +# # Select Output Folder # + run_control={"frozen": false, "read_only": false} o_merge.select_output_folder() # - - - diff --git a/notebooks/converted_notebooks/combine_images_n_by_n.py b/notebooks/converted_notebooks/combine_images_n_by_n.py index 48944839..63398546 100755 --- a/notebooks/converted_notebooks/combine_images_n_by_n.py +++ b/notebooks/converted_notebooks/combine_images_n_by_n.py @@ -17,24 +17,26 @@ # # + [markdown] run_control={"frozen": false, "read_only": false} -# # Select Your IPTS +# # Select Your IPTS # + run_control={"frozen": false, "read_only": false} -from __code.combine_images_n_by_n.combine_images_n_by_n import CombineImagesNByN as CombineImages from __code import system -system.System.select_working_dir(notebook='combine_images_n_by_n') +from __code.combine_images_n_by_n.combine_images_n_by_n import CombineImagesNByN as CombineImages + +system.System.select_working_dir(notebook="combine_images_n_by_n") from __code.__all import custom_style + custom_style.style() # + [markdown] run_control={"frozen": false, "read_only": false} -# # Select Folder with Images to Combine +# # Select Folder with Images to Combine # + run_control={"frozen": false, "read_only": false} o_merge = CombineImages(working_dir=system.System.get_working_dir()) o_merge.select_images() # - -# # Sorting the Files +# # Sorting the Files o_merge.sorting_the_files() @@ -56,10 +58,8 @@ o_merge.preview_result() # + [markdown] run_control={"frozen": false, "read_only": false} -# # Select Output Folder +# # Select Output Folder # + run_control={"frozen": false, "read_only": false} o_merge.select_output_folder() # - - - diff --git a/notebooks/converted_notebooks/combine_images_without_outliers.py b/notebooks/converted_notebooks/combine_images_without_outliers.py index 135dfc77..97da18c7 100755 --- a/notebooks/converted_notebooks/combine_images_without_outliers.py +++ b/notebooks/converted_notebooks/combine_images_without_outliers.py @@ -17,23 +17,22 @@ # # + [markdown] run_control={"frozen": false, "read_only": false} -# # Select Your IPTS +# # Select Your IPTS # + run_control={"frozen": false, "read_only": false} from __code import system from __code.combine_images_without_outliers.combine_images import Interface -system.System.select_working_dir(facility='SNS', instrument='VENUS', notebook='combine_images_without_outliers') +system.System.select_working_dir(facility="SNS", instrument="VENUS", notebook="combine_images_without_outliers") from __code.__all import custom_style + custom_style.style() # - -# # Select how you want to combine the first images +# # Select how you want to combine the first images o_combine = Interface(working_dir=system.System.get_working_dir()) -# # Select output folder +# # Select output folder o_combine.select_output_folder() - - diff --git a/notebooks/converted_notebooks/create_list_of_file_name_vs_time_stamp.py b/notebooks/converted_notebooks/create_list_of_file_name_vs_time_stamp.py index 04f72e2d..37746875 100755 --- a/notebooks/converted_notebooks/create_list_of_file_name_vs_time_stamp.py +++ b/notebooks/converted_notebooks/create_list_of_file_name_vs_time_stamp.py @@ -19,25 +19,26 @@ # # + [markdown] run_control={"frozen": false, "read_only": false} -# # Select your IPTS +# # Select your IPTS # + run_control={"frozen": false, "read_only": false} +from __code import system from __code.create_list_of_file_name_vs_time_stamp import CreateListFileName -from __code import system -system.System.select_working_dir(notebook='create_list_of_file_name_vs_time_stamp') +system.System.select_working_dir(notebook="create_list_of_file_name_vs_time_stamp") from __code.__all import custom_style + custom_style.style() # + [markdown] run_control={"frozen": false, "read_only": false} -# # Select Image Folder +# # Select Image Folder # + run_control={"frozen": false, "read_only": false} o_file_time_stamp = CreateListFileName(working_dir=system.System.get_working_dir()) o_file_time_stamp.select_image_folder() # + [markdown] run_control={"frozen": false, "read_only": false} -# # Select Output Folder +# # Select Output Folder # + run_control={"frozen": false, "read_only": false} o_file_time_stamp.select_export_folder() @@ -45,5 +46,3 @@ # + run_control={"frozen": false, "read_only": false} # - - - diff --git a/notebooks/converted_notebooks/cylindrical_geometry_correction.py b/notebooks/converted_notebooks/cylindrical_geometry_correction.py index f6eb1b34..1b6fbf4a 100755 --- a/notebooks/converted_notebooks/cylindrical_geometry_correction.py +++ b/notebooks/converted_notebooks/cylindrical_geometry_correction.py @@ -19,22 +19,24 @@ # # + [markdown] run_control={"frozen": false, "read_only": false} -# # Select your IPTS +# # Select your IPTS # + run_control={"frozen": false, "read_only": false} from __code.ui_builder import UiBuilder -o_builder = UiBuilder(ui_name = 'ui_profile.ui') + +o_builder = UiBuilder(ui_name="ui_profile.ui") from __code import system from __code.ipywe.myfileselector import FileSelection from __code.profile import ProfileUi -system.System.select_working_dir(notebook='cylindrical_geometry_correction') +system.System.select_working_dir(notebook="cylindrical_geometry_correction") from __code.__all import custom_style + custom_style.style() # + [markdown] run_control={"frozen": false, "read_only": false} -# # Python Import +# # Python Import # + run_control={"frozen": false, "read_only": false} # %gui qt @@ -47,15 +49,13 @@ o_selection.select_data() # + [markdown] run_control={"frozen": false, "read_only": false} -# # Launch UI +# # Launch UI # + run_control={"frozen": false, "read_only": false} -o_profile = ProfileUi(working_dir=system.System.get_working_dir(), - data_dict=o_selection.data_dict['sample']) +o_profile = ProfileUi(working_dir=system.System.get_working_dir(), data_dict=o_selection.data_dict["sample"]) o_profile.show() # + run_control={"frozen": false, "read_only": false} # + run_control={"frozen": false, "read_only": false} - diff --git a/notebooks/converted_notebooks/cylindrical_geometry_correction_embedded_widgets.py b/notebooks/converted_notebooks/cylindrical_geometry_correction_embedded_widgets.py index 30f995ec..a8fe94c8 100755 --- a/notebooks/converted_notebooks/cylindrical_geometry_correction_embedded_widgets.py +++ b/notebooks/converted_notebooks/cylindrical_geometry_correction_embedded_widgets.py @@ -16,7 +16,7 @@ # # -# # Workflow of the notebook +# # Workflow of the notebook # * **User**: select the images to work with. # * *Notebook*: load images @@ -37,25 +37,27 @@ # %matplotlib notebook import warnings -warnings.filterwarnings('ignore') -from __code.cylindrical_geometry_correction_embedded_widgets.main import CylindricalGeometryCorrectionEmbeddedWidgets +warnings.filterwarnings("ignore") from __code import system -system.System.select_working_dir(notebook='cylindrical_geometry_correction_embedded_widgets') +from __code.cylindrical_geometry_correction_embedded_widgets.main import CylindricalGeometryCorrectionEmbeddedWidgets + +system.System.select_working_dir(notebook="cylindrical_geometry_correction_embedded_widgets") from __code.__all import custom_style + custom_style.style() # - -# # Select Images +# # Select Images o_ipts = CylindricalGeometryCorrectionEmbeddedWidgets(working_dir=system.System.get_working_dir()) o_ipts.select_images() # # Use config file (optional) # -# Run this cell when you have a config file you saved in a previous session and wants to reload it here. This will allow you to automatically re-use the same region of interests. +# Run this cell when you have a config file you saved in a previous session and wants to reload it here. This will allow you to automatically re-use the same region of interests. o_ipts.select_config() @@ -75,7 +77,7 @@ o_ipts.rotate_images() -# # crop sample to region of interest +# # crop sample to region of interest # By playing with the **left**, **right**, **top** and **bottom** sliders, select a region surrounding the data you want to work with. # @@ -87,7 +89,7 @@ # # # * Make sure you include the container in the selection (edges should have a value of 1) -# and +# and # * a part of the container without sample inside (will be used for normalization) # # For example: @@ -113,7 +115,7 @@ # # Select sample # -# Select the **top** and **bottom** limit of your sample. +# Select the **top** and **bottom** limit of your sample. # # __For example:__ # @@ -126,15 +128,15 @@ o_ipts.remove_background_signal() -# # Profiles to work with +# # Profiles to work with o_ipts.display_of_profiles() -# # Applying geometry correction +# # Applying geometry correction o_ipts.correct_cylinder_geometry() -# # Export +# # Export # # This will export: # - the corrected cropped images @@ -142,5 +144,3 @@ # - all the configuration used in this notebook (config file) o_ipts.export_profiles() - - diff --git a/notebooks/converted_notebooks/deal_images.py b/notebooks/converted_notebooks/deal_images.py index 61487a8b..34c425dd 100755 --- a/notebooks/converted_notebooks/deal_images.py +++ b/notebooks/converted_notebooks/deal_images.py @@ -16,12 +16,14 @@ # # -# # Select Your IPTS +# # Select Your IPTS -from __code.deal import Deal from __code import system -system.System.select_working_dir(notebook='deal_images') +from __code.deal import Deal + +system.System.select_working_dir(notebook="deal_images") from __code.__all import custom_style + custom_style.style() # + [markdown] run_control={"frozen": false, "read_only": false} @@ -32,7 +34,7 @@ o_deal.select_input_folder() # + [markdown] run_control={"frozen": false, "read_only": false} -# ## Select Output Folder +# ## Select Output Folder # - o_deal.select_output_folder() diff --git a/notebooks/converted_notebooks/display_and_export_images_with_metadata_profile.py b/notebooks/converted_notebooks/display_and_export_images_with_metadata_profile.py index 20bf65d0..450818d3 100755 --- a/notebooks/converted_notebooks/display_and_export_images_with_metadata_profile.py +++ b/notebooks/converted_notebooks/display_and_export_images_with_metadata_profile.py @@ -16,17 +16,19 @@ # # -# # Select Your IPTS +# # Select Your IPTS # + run_control={"frozen": false, "read_only": false} -from __code.display_and_export_images_with_metadata_profile import DisplayExportScreenshots from __code import system -system.System.select_working_dir(notebook='display_and_export_images_with_metadata_profile') +from __code.display_and_export_images_with_metadata_profile import DisplayExportScreenshots + +system.System.select_working_dir(notebook="display_and_export_images_with_metadata_profile") from __code.__all import custom_style -custom_style.style() + +custom_style.style() # + [markdown] run_control={"frozen": false, "read_only": false} -# # Select Image Folder +# # Select Image Folder # - o_display_export = DisplayExportScreenshots(working_dir=system.System.get_working_dir()) @@ -42,7 +44,7 @@ o_display_export.select_metadata_file() # + [markdown] run_control={"frozen": false, "read_only": false} -# # Display Images with Profile of metadata +# # Display Images with Profile of metadata # + run_control={"frozen": false, "read_only": false} o_display_export.display() @@ -57,4 +59,3 @@ o_display_export.export() # + run_control={"frozen": false, "read_only": false} - diff --git a/notebooks/converted_notebooks/display_and_export_images_with_timestamp.py b/notebooks/converted_notebooks/display_and_export_images_with_timestamp.py index b2ceace3..7a850585 100755 --- a/notebooks/converted_notebooks/display_and_export_images_with_timestamp.py +++ b/notebooks/converted_notebooks/display_and_export_images_with_timestamp.py @@ -16,16 +16,18 @@ # # -# # Select your IPTS +# # Select your IPTS # + run_control={"frozen": false, "read_only": false} from __code import system -system.System.select_working_dir(notebook='display_and_export_images_with_timestamp') + +system.System.select_working_dir(notebook="display_and_export_images_with_timestamp") from __code.__all import custom_style + custom_style.style() # + [markdown] run_control={"frozen": false, "read_only": false} -# # Description +# # Description # + [markdown] run_control={"frozen": false, "read_only": false} # This notebook will display (and save) the images with the **absolute** or **relative** time stamp. @@ -33,13 +35,13 @@ # Then you will also have the option to export all the images to create for example a movie out of it. # + [markdown] run_control={"frozen": false, "read_only": false} -# # Python Import +# # Python Import # + run_control={"frozen": false, "read_only": false} from __code.display_and_export_images_with_time_stamp import DisplayExportScreenshots # + [markdown] run_control={"frozen": false, "read_only": false} -# # Select Image Folder +# # Select Image Folder # + run_control={"frozen": false, "read_only": false} working_dir = system.System.get_working_dir() @@ -70,5 +72,3 @@ # + run_control={"frozen": false, "read_only": false} o_file_time_stamp.export() # - - - diff --git a/notebooks/converted_notebooks/display_counts_of_region_vs_stack.py b/notebooks/converted_notebooks/display_counts_of_region_vs_stack.py index 67895120..ef91e6d9 100755 --- a/notebooks/converted_notebooks/display_counts_of_region_vs_stack.py +++ b/notebooks/converted_notebooks/display_counts_of_region_vs_stack.py @@ -17,20 +17,23 @@ # # + [markdown] run_control={"frozen": false, "read_only": false} -# # Select Your IPTS +# # Select Your IPTS # + run_control={"frozen": false, "read_only": false} import warnings -warnings.filterwarnings('ignore') + +warnings.filterwarnings("ignore") from __code.ui_builder import UiBuilder -o_builder = UiBuilder(ui_name = 'ui_display_counts_of_region_vs_stack.ui') -from __code.display_counts_of_region_vs_stack import ImageWindow, DisplayCountsVsStack +o_builder = UiBuilder(ui_name="ui_display_counts_of_region_vs_stack.ui") from __code import system -system.System.select_working_dir(notebook='display_counts_of_region_vs_stack') +from __code.display_counts_of_region_vs_stack import DisplayCountsVsStack, ImageWindow + +system.System.select_working_dir(notebook="display_counts_of_region_vs_stack") from __code.__all import custom_style + custom_style.style() # + [markdown] run_control={"frozen": false, "read_only": false} @@ -54,4 +57,3 @@ _image.show() # + run_control={"frozen": false, "read_only": false} - diff --git a/notebooks/converted_notebooks/display_file_names_vs_time_stamp.py b/notebooks/converted_notebooks/display_file_names_vs_time_stamp.py index c305e608..e5d24290 100755 --- a/notebooks/converted_notebooks/display_file_names_vs_time_stamp.py +++ b/notebooks/converted_notebooks/display_file_names_vs_time_stamp.py @@ -19,16 +19,16 @@ # # + [markdown] run_control={"frozen": false, "read_only": false} -# # Select Your IPTS +# # Select Your IPTS # + run_control={"frozen": false, "read_only": false} -from __code.display_file_names_vs_time_stamp import DisplayFileNamesVsTimeStamp - # %matplotlib notebook - from __code import system -system.System.select_working_dir(notebook='display_file_names_vs_time_stamp') +from __code.display_file_names_vs_time_stamp import DisplayFileNamesVsTimeStamp + +system.System.select_working_dir(notebook="display_file_names_vs_time_stamp") from __code.__all import custom_style + custom_style.style() # + [markdown] run_control={"frozen": false, "read_only": false} @@ -45,7 +45,7 @@ o_file_time_stamp.display() # + [markdown] run_control={"frozen": false, "read_only": false} -# # List Files Loaded +# # List Files Loaded # + run_control={"frozen": false, "read_only": false} o_file_time_stamp.print_result() @@ -54,4 +54,3 @@ # + run_control={"frozen": false, "read_only": false} - diff --git a/notebooks/converted_notebooks/display_integrated_stack_of_images.py b/notebooks/converted_notebooks/display_integrated_stack_of_images.py index dcc726f7..d9c45e51 100755 --- a/notebooks/converted_notebooks/display_integrated_stack_of_images.py +++ b/notebooks/converted_notebooks/display_integrated_stack_of_images.py @@ -16,16 +16,16 @@ # # -# # Select Your IPTS +# # Select Your IPTS # + -from __code.display_integrated_stack_of_images import DisplayIntegratedStackOfImages - # %matplotlib notebook - from __code import system -system.System.select_working_dir(notebook='display_integrated_stack_of_images') +from __code.display_integrated_stack_of_images import DisplayIntegratedStackOfImages + +system.System.select_working_dir(notebook="display_integrated_stack_of_images") from __code.__all import custom_style + custom_style.style() # + [markdown] run_control={"frozen": false, "read_only": false} @@ -40,5 +40,3 @@ # - o_integrated.display_integrated_stack() - - diff --git a/notebooks/converted_notebooks/dual_energy.py b/notebooks/converted_notebooks/dual_energy.py index ec2f152f..d712dfaf 100755 --- a/notebooks/converted_notebooks/dual_energy.py +++ b/notebooks/converted_notebooks/dual_energy.py @@ -17,17 +17,19 @@ # # + [markdown] run_control={"frozen": false, "read_only": false} -# # Select Your IPTS +# # Select Your IPTS # + run_control={"frozen": false, "read_only": false} import warnings -warnings.filterwarnings('ignore') -from __code.dual_energy.dual_energy import Interface, DualEnergy +warnings.filterwarnings("ignore") from __code import system -system.System.select_working_dir(notebook='dual_energy') +from __code.dual_energy.dual_energy import DualEnergy, Interface + +system.System.select_working_dir(notebook="dual_energy") from __code.__all import custom_style + custom_style.style() # + [markdown] run_control={"frozen": false, "read_only": false} @@ -51,21 +53,24 @@ o_interface.show() # + [markdown] run_control={"frozen": false, "read_only": false} -# # DEBUGGING +# # DEBUGGING # + import warnings -warnings.filterwarnings('ignore') -from __code.dual_energy.dual_energy import Interface, DualEnergy +warnings.filterwarnings("ignore") + import glob import os + +from __code.dual_energy.dual_energy import DualEnergy, Interface + # - # %gui qt # + -data_path = '/Users/j35/IPTS/VENUS/IPTS-25778_normalized' +data_path = "/Users/j35/IPTS/VENUS/IPTS-25778_normalized" list_data = glob.glob(data_path + "*.tif") spectra_file = os.path.join(data_path, "Image019_Spectra.txt") assert os.path.exists(spectra_file) @@ -74,9 +79,5 @@ o_dual.load_data(data_path) # - -o_interface = Interface(o_dual=o_dual, - working_dir=data_path, - spectra_file=spectra_file) +o_interface = Interface(o_dual=o_dual, working_dir=data_path, spectra_file=spectra_file) o_interface.show() - - diff --git a/notebooks/converted_notebooks/extract_evenly_spaced_files.py b/notebooks/converted_notebooks/extract_evenly_spaced_files.py index 349566e6..657797b9 100755 --- a/notebooks/converted_notebooks/extract_evenly_spaced_files.py +++ b/notebooks/converted_notebooks/extract_evenly_spaced_files.py @@ -17,14 +17,16 @@ # # + [markdown] run_control={"frozen": false, "read_only": false} -# # Select Your IPTS +# # Select Your IPTS # + run_control={"frozen": false, "read_only": false} -from __code.extract_evenly_spaced_files.main import ExtractEvenlySpacedFiles as EESF -from __code.extract_evenly_spaced_files.interface_handler import Interface from __code import system -system.System.select_working_dir(notebook='extract_evenly_spaced_files') +from __code.extract_evenly_spaced_files.interface_handler import Interface +from __code.extract_evenly_spaced_files.main import ExtractEvenlySpacedFiles as EESF + +system.System.select_working_dir(notebook="extract_evenly_spaced_files") from __code.__all import custom_style + custom_style.style() # - @@ -36,7 +38,7 @@ o_extract.sorting_method() # + [markdown] run_control={"frozen": false, "read_only": false} -# # Select Folder with Images to Extract +# # Select Folder with Images to Extract # - o_extract.select_folder() @@ -56,16 +58,14 @@ # This will replace the last part of the name (file counter digit) # # for example: -# +# # original first file: 20191030_object1_0070_004_594_0003.tiff # new first file name: 20191030_object1_0070_004_594_0000.tiff o_extract.renamed_files() -# # Select output folder +# # Select output folder # + run_control={"frozen": false, "read_only": false} o_extract.select_output_folder() # - - - diff --git a/notebooks/converted_notebooks/extract_nexus_daslogs.py b/notebooks/converted_notebooks/extract_nexus_daslogs.py index 6bdaff87..657b410e 100755 --- a/notebooks/converted_notebooks/extract_nexus_daslogs.py +++ b/notebooks/converted_notebooks/extract_nexus_daslogs.py @@ -16,14 +16,15 @@ # # -# # Select your IPTS +# # Select your IPTS # + +from __code import system from __code.extract_nexus_daslogs import extract -from __code import system -system.System.select_working_dir(notebook='extract_nexus_daslogs') +system.System.select_working_dir(notebook="extract_nexus_daslogs") from __code.__all import custom_style + custom_style.style() # - @@ -33,5 +34,3 @@ o_extract.select_nexus() o_extract.export() - - diff --git a/notebooks/converted_notebooks/extract_sans_reductionlog_metadata.py b/notebooks/converted_notebooks/extract_sans_reductionlog_metadata.py index d5a74192..b9c3f574 100755 --- a/notebooks/converted_notebooks/extract_sans_reductionlog_metadata.py +++ b/notebooks/converted_notebooks/extract_sans_reductionlog_metadata.py @@ -19,23 +19,21 @@ # # Select Instrument # + -from __code.sans import extract from __code.__all import custom_style +from __code.sans import extract + custom_style.style() initializer = extract.Initializer() initializer.select_instrument() # - -# # Select your ReductionLog files and then the Metadata to extract +# # Select your ReductionLog files and then the Metadata to extract working_dir = initializer.get_working_dir() -o_extract = extract.Extract(working_dir=working_dir, - instrument=initializer.get_instrument()) +o_extract = extract.Extract(working_dir=working_dir, instrument=initializer.get_instrument()) o_extract.select_reductionlog() # # Select output folder o_extract.export() - - diff --git a/notebooks/converted_notebooks/file_name_and_metadata_vs_time_stamp.py b/notebooks/converted_notebooks/file_name_and_metadata_vs_time_stamp.py index a6f43e10..54f598b8 100755 --- a/notebooks/converted_notebooks/file_name_and_metadata_vs_time_stamp.py +++ b/notebooks/converted_notebooks/file_name_and_metadata_vs_time_stamp.py @@ -13,23 +13,24 @@ # --- # + [markdown] run_control={"frozen": false, "read_only": false} -# # select Your IPTS +# # select Your IPTS # + run_control={"frozen": false, "read_only": false} +from __code import system from __code.file_name_and_metadata_vs_time_stamp import FileNameMetadataTimeStamp -from __code import system system.System.select_working_dir() from __code.__all import custom_style + custom_style.style() # + [markdown] run_control={"frozen": false, "read_only": false} -# # Description +# # Description # + [markdown] run_control={"frozen": false, "read_only": false} # The goal of this notebook is __to match__ the **file names** (fits or tif) with their **metadata** (imported from an ascii file) # -# The program will retrieve the time stamp of the imported file and will match them with the metadata ascii file. +# The program will retrieve the time stamp of the imported file and will match them with the metadata ascii file. # # To work, the metadata will need to have the following format # @@ -42,7 +43,7 @@ # 120020, 30 # ``` # -# A preview of the **metadata** value vs **file index** and **relative time** will be displayed. +# A preview of the **metadata** value vs **file index** and **relative time** will be displayed. # # Export of the data into an ascii file using the following format # ``` @@ -60,8 +61,7 @@ # from __code.file_name_and_metadata_vs_time_stamp import FileNameMetadataTimeStamp # + run_control={"frozen": false, "read_only": false} -from __code import utilities -#from __code import utilities, gui_widgets, file_handler +# from __code import utilities, gui_widgets, file_handler # import ipywe.fileselector # from IPython.display import display, HTML # import pandas as pd @@ -69,20 +69,17 @@ # from pprint import pprint # from ipywidgets import widgets -# from IPython.display import display, HTML - -import matplotlib.pyplot as plt +# from IPython.display import display, HTML + # %matplotlib notebook # from IPython import display as display_ipython -from plotly.offline import plot, init_notebook_mode, iplot +from plotly.offline import init_notebook_mode, iplot + init_notebook_mode() -import plotly.plotly as py import plotly.graph_objs as go - - # + [markdown] run_control={"frozen": false, "read_only": false} # # Select Image Folder @@ -91,7 +88,7 @@ o_meta_file_time.select_image_folder() # + [markdown] run_control={"frozen": false, "read_only": false} -# # Select Metadata Ascii File +# # Select Metadata Ascii File # + run_control={"frozen": false, "read_only": false} o_meta_file_time.select_metadata_file() @@ -100,45 +97,84 @@ # # Format and Merging Data # + run_control={"frozen": false, "read_only": false} -if my_system == 'mac': - my_header = [None, "furnace vacuum2", None, "furnace vacuum1", None, "tolerance", - None, "%power", None, "OT Temp", None, "Ramp SP", None, - "OT SP", None, "Setpoint", None, "Sample", None] +if my_system == "mac": + my_header = [ + None, + "furnace vacuum2", + None, + "furnace vacuum1", + None, + "tolerance", + None, + "%power", + None, + "OT Temp", + None, + "Ramp SP", + None, + "OT SP", + None, + "Setpoint", + None, + "Sample", + None, + ] else: - my_header = [None, "furnace\ vacuum2", None, "furnace\ vacuum1", None, "tolerance", - None, "%power", None, "OT\ Temp", None, "Ramp\ SP", None, - "OT\ SP", None, "Setpoint", None, "Sample", None] + my_header = [ + None, + r"furnace\ vacuum2", + None, + r"furnace\ vacuum1", + None, + "tolerance", + None, + "%power", + None, + r"OT\ Temp", + None, + r"Ramp\ SP", + None, + r"OT\ SP", + None, + "Setpoint", + None, + "Sample", + None, + ] # + run_control={"frozen": false, "read_only": false} o_meta_file_time.format_files(metadata_header=my_header) o_meta_file_time.merging_formated_files() # + [markdown] run_control={"frozen": false, "read_only": false} -# # Preview +# # Preview # + run_control={"frozen": false, "read_only": false} o_meta_file_time.preview() # + run_control={"frozen": false, "read_only": false} -trace = go.Scatter(x=o_meta_file_time.file_index, - y=o_meta_file_time.metadata_array, - mode='markers', - name='Metadata Profile vs File Index') - -layout = go.Layout(width="100%", - height=500, - showlegend=False, - title='Profile of Metadata vs File Index', - xaxis={'title': 'File Index'}, - yaxis={'title': 'Metadata Value'}, - ) +trace = go.Scatter( + x=o_meta_file_time.file_index, + y=o_meta_file_time.metadata_array, + mode="markers", + name="Metadata Profile vs File Index", +) + +layout = go.Layout( + width="100%", + height=500, + showlegend=False, + title="Profile of Metadata vs File Index", + xaxis={"title": "File Index"}, + yaxis={"title": "Metadata Value"}, +) data = [trace] figure = go.Figure(data=data, layout=layout) iplot(figure) # + [markdown] run_control={"frozen": false, "read_only": false} -# # Export data +# # Export data # + run_control={"frozen": false, "read_only": false} o_meta_file_time.select_export_folder() diff --git a/notebooks/converted_notebooks/filename_metadata_match.py b/notebooks/converted_notebooks/filename_metadata_match.py index e44a30dd..a99a89d8 100755 --- a/notebooks/converted_notebooks/filename_metadata_match.py +++ b/notebooks/converted_notebooks/filename_metadata_match.py @@ -19,14 +19,15 @@ # # + [markdown] run_control={"frozen": false, "read_only": false} -# # Select Your IPTS +# # Select Your IPTS # + run_control={"frozen": false, "read_only": false} +from __code import system from __code.filename_metadata_match import FilenameMetadataMatch -from __code import system system.System.select_working_dir() from __code.__all import custom_style + custom_style.style() # + [markdown] run_control={"frozen": false, "read_only": false} @@ -37,10 +38,9 @@ o_match.select_input_folder() # + [markdown] run_control={"frozen": false, "read_only": false} -# # Select Metadata File +# # Select Metadata File # + run_control={"frozen": false, "read_only": false} o_match.select_metadata_file() # + run_control={"frozen": false, "read_only": false} - diff --git a/notebooks/converted_notebooks/fix_images.py b/notebooks/converted_notebooks/fix_images.py index 78214fdf..aa61f4e9 100755 --- a/notebooks/converted_notebooks/fix_images.py +++ b/notebooks/converted_notebooks/fix_images.py @@ -21,15 +21,17 @@ # + run_control={"frozen": false, "read_only": false} import warnings -warnings.filterwarnings('ignore') -from __code.fix_images import FixImages +warnings.filterwarnings("ignore") # %matplotlib notebook from __code import system -system.System.select_working_dir(notebook='fix_images') +from __code.fix_images import FixImages + +system.System.select_working_dir(notebook="fix_images") from __code.__all import custom_style + custom_style.style() # + [markdown] run_control={"frozen": false, "read_only": false} @@ -40,14 +42,14 @@ _o_fix.select_images() # + [markdown] run_control={"frozen": false, "read_only": false} -# # Give statistics +# # Give statistics # + run_control={"frozen": false, "read_only": false} _o_fix.load() _o_fix.give_statistics() # + [markdown] run_control={"frozen": false, "read_only": false} -# # Display Images and Histograms +# # Display Images and Histograms # + run_control={"frozen": false, "read_only": false} _o_fix.display_and_fix() @@ -59,4 +61,3 @@ _o_fix.select_folder_and_export_images() # + run_control={"frozen": false, "read_only": false} - diff --git a/notebooks/converted_notebooks/fix_images_with_negative_pixels.py b/notebooks/converted_notebooks/fix_images_with_negative_pixels.py index 5835d3a6..32ff6f45 100755 --- a/notebooks/converted_notebooks/fix_images_with_negative_pixels.py +++ b/notebooks/converted_notebooks/fix_images_with_negative_pixels.py @@ -20,12 +20,13 @@ # # Select Your IPTS # + run_control={"frozen": false, "read_only": false} -from __code.fix_images_with_negative_pixels import FixImages # %matplotlib notebook - from __code import system -system.System.select_working_dir(notebook='fix_images_with_negative_pixels') +from __code.fix_images_with_negative_pixels import FixImages + +system.System.select_working_dir(notebook="fix_images_with_negative_pixels") from __code.__all import custom_style + custom_style.style() # + [markdown] run_control={"frozen": false, "read_only": false} @@ -33,20 +34,20 @@ # + [markdown] run_control={"frozen": false, "read_only": false} # 1. Load images -# 2. Display +# 2. Display # 3. Change all negative value pixels to NaN # 4. Give statistics of pixels changed in ROI selected # 5. produce colorbar # + [markdown] run_control={"frozen": false, "read_only": false} -# # Select Images +# # Select Images # + run_control={"frozen": false, "read_only": false} _o_fix = FixImages(working_dir=system.System.get_working_dir()) _o_fix.select_images() # + [markdown] run_control={"frozen": false, "read_only": false} -# # Turn off all negative values +# # Turn off all negative values # + run_control={"frozen": false, "read_only": false} _o_fix.load() @@ -54,7 +55,7 @@ _o_fix.display_images() # + [markdown] run_control={"frozen": false, "read_only": false} -# # Display Images for Publication +# # Display Images for Publication # + run_control={"frozen": false, "read_only": false} # %matplotlib notebook @@ -72,4 +73,3 @@ _o_fix.export() # + run_control={"frozen": false, "read_only": false} - diff --git a/notebooks/converted_notebooks/from_attenuation_to_concentration.py b/notebooks/converted_notebooks/from_attenuation_to_concentration.py index 08c07561..56a8d189 100755 --- a/notebooks/converted_notebooks/from_attenuation_to_concentration.py +++ b/notebooks/converted_notebooks/from_attenuation_to_concentration.py @@ -19,14 +19,15 @@ # # + [markdown] run_control={"frozen": false, "read_only": false} -# # Select Your IPTS +# # Select Your IPTS # + run_control={"frozen": false, "read_only": false} +from __code import system from __code.from_attenuation_to_concentration import * -from __code import system -system.System.select_working_dir(notebook='from_attenuation_to_concentration') +system.System.select_working_dir(notebook="from_attenuation_to_concentration") from __code.__all import custom_style + custom_style.style() # + [markdown] run_control={"frozen": false, "read_only": false} @@ -37,13 +38,13 @@ o_convert.select_folder() # + [markdown] run_control={"frozen": false, "read_only": false} -# # Define conversion formula +# # Define conversion formula # + run_control={"frozen": false, "read_only": false} o_convert.define_conversion_formula() # + [markdown] run_control={"frozen": false, "read_only": false} -# # Converting Data +# # Converting Data # + run_control={"frozen": false, "read_only": false} o_convert.converting_data() @@ -55,13 +56,3 @@ o_convert.select_output_folder() # + run_control={"frozen": false, "read_only": false} - - - - - - - - - - diff --git a/notebooks/converted_notebooks/from_dsc_time_info_to_ascii_file_vs_time.py b/notebooks/converted_notebooks/from_dsc_time_info_to_ascii_file_vs_time.py index 2d43e36d..ba2eb1c3 100755 --- a/notebooks/converted_notebooks/from_dsc_time_info_to_ascii_file_vs_time.py +++ b/notebooks/converted_notebooks/from_dsc_time_info_to_ascii_file_vs_time.py @@ -21,20 +21,21 @@ # # + +from __code import system from __code.from_dsc_time_info_to_ascii_file_vs_time import CreateExportTimeStamp -from __code import system -system.System.select_working_dir(notebook='from_dsc_time_to_ascii_file_vs_time') +system.System.select_working_dir(notebook="from_dsc_time_to_ascii_file_vs_time") from __code.__all import custom_style + custom_style.style() # - -# # Select DSC Folder +# # Select DSC Folder o_dsc = CreateExportTimeStamp(working_dir=system.System.get_working_dir()) # + [markdown] run_control={"frozen": false, "read_only": false} -# # Select TIFF Images Folder +# # Select TIFF Images Folder # - o_dsc.select_tiff_folder() @@ -44,4 +45,3 @@ o_dsc.select_output_folder_and_create_ascii_file() # + run_control={"frozen": false, "read_only": false} - diff --git a/notebooks/converted_notebooks/from_ibeatles_strain_mapping_array_to_2d_plot.py b/notebooks/converted_notebooks/from_ibeatles_strain_mapping_array_to_2d_plot.py index 02d0fb72..c6fc9b53 100755 --- a/notebooks/converted_notebooks/from_ibeatles_strain_mapping_array_to_2d_plot.py +++ b/notebooks/converted_notebooks/from_ibeatles_strain_mapping_array_to_2d_plot.py @@ -17,16 +17,19 @@ # # + [markdown] run_control={"frozen": false, "read_only": false} -# # Select Your IPTS +# # Select Your IPTS # + run_control={"frozen": false, "read_only": false} import warnings -warnings.filterwarnings('ignore') -from __code.from_ibeatles_strain_mapping_array_to_2d_plot.main import Main +warnings.filterwarnings("ignore") + from __code import system +from __code.from_ibeatles_strain_mapping_array_to_2d_plot.main import Main + system.System.select_working_dir() from __code.__all import custom_style + custom_style.style() # %matplotlib notebook @@ -35,15 +38,13 @@ # # Select ASCII file created in iBeatles (strain step) # + run_control={"frozen": false, "read_only": false} -o_strain_display = Main(working_dir = system.System.get_working_dir()) +o_strain_display = Main(working_dir=system.System.get_working_dir()) o_strain_display.select_ascii_file() # - -# # Display data +# # Display data # + run_control={"frozen": false, "read_only": false} o_strain_display.process_data() -o_strain_display.display() +o_strain_display.display() # - - - diff --git a/notebooks/converted_notebooks/gamma_filtering_tool.py b/notebooks/converted_notebooks/gamma_filtering_tool.py index 7920044e..c1d1f980 100755 --- a/notebooks/converted_notebooks/gamma_filtering_tool.py +++ b/notebooks/converted_notebooks/gamma_filtering_tool.py @@ -23,16 +23,19 @@ # + run_control={"frozen": false, "read_only": false} import warnings -warnings.filterwarnings('ignore') + +warnings.filterwarnings("ignore") from __code.ui_builder import UiBuilder -o_builder = UiBuilder(ui_name = 'ui_gamma_filtering_tool.ui') -from __code.gamma_filtering_tool import Interface, InterfaceHandler +o_builder = UiBuilder(ui_name="ui_gamma_filtering_tool.ui") from __code import system +from __code.gamma_filtering_tool import Interface, InterfaceHandler + system.System.select_working_dir() from __code.__all import custom_style + custom_style.style() # + run_control={"frozen": false, "read_only": false} @@ -43,17 +46,16 @@ # + run_control={"frozen": false, "read_only": false} o_template = InterfaceHandler(working_dir=system.System.get_working_dir()) -o_template.select_images(instruction='Select tiff or Fits Images ...') +o_template.select_images(instruction="Select tiff or Fits Images ...") # + [markdown] run_control={"frozen": false, "read_only": false} # # Load and Display Images # + run_control={"frozen": false, "read_only": false} -o_interface = Interface(list_of_files = o_template.get_list_of_files()) +o_interface = Interface(list_of_files=o_template.get_list_of_files()) o_interface.show() # + run_control={"frozen": false, "read_only": false} # + run_control={"frozen": false, "read_only": false} - diff --git a/notebooks/converted_notebooks/group_images_by_cycle_for_grating_experiment.py b/notebooks/converted_notebooks/group_images_by_cycle_for_grating_experiment.py index f44c31a8..5068bd06 100755 --- a/notebooks/converted_notebooks/group_images_by_cycle_for_grating_experiment.py +++ b/notebooks/converted_notebooks/group_images_by_cycle_for_grating_experiment.py @@ -16,16 +16,19 @@ # # + [markdown] run_control={"frozen": false, "read_only": false} -# # Select Your IPTS +# # Select Your IPTS # + run_control={"frozen": false, "read_only": false} import warnings -warnings.filterwarnings('ignore') -from __code.group_images_by_cycle_for_grating_experiment.group_images import GroupImages +warnings.filterwarnings("ignore") + from __code import system -system.System.select_working_dir(notebook='group_images_by_cycle_for_grating_experiment') +from __code.group_images_by_cycle_for_grating_experiment.group_images import GroupImages + +system.System.select_working_dir(notebook="group_images_by_cycle_for_grating_experiment") from __code.__all import custom_style + custom_style.style() # + [markdown] run_control={"frozen": false, "read_only": false} @@ -36,15 +39,15 @@ o_group.select_data_to_sort() # - -# # Select Type of Data +# # Select Type of Data o_group.define_type_of_data() -# # Select Metadata to Use for Sorting +# # Select Metadata to Use for Sorting o_group.select_metadata_to_use_for_sorting() -# # Grouping +# # Grouping o_group.grouping() @@ -57,10 +60,8 @@ o_group.select_output_folder() # - -# # Generate Angel Configuration File (Excel) +# # Generate Angel Configuration File (Excel) # %gui qt o_group.generate_angel_configuration_file() - - diff --git a/notebooks/converted_notebooks/group_images_by_cycle_for_panoramic_stitching.py b/notebooks/converted_notebooks/group_images_by_cycle_for_panoramic_stitching.py index d18714f5..537dd775 100755 --- a/notebooks/converted_notebooks/group_images_by_cycle_for_panoramic_stitching.py +++ b/notebooks/converted_notebooks/group_images_by_cycle_for_panoramic_stitching.py @@ -16,13 +16,15 @@ # # + [markdown] run_control={"frozen": false, "read_only": false} -# # Select Your IPTS +# # Select Your IPTS # + run_control={"frozen": false, "read_only": false} -from __code.group_images_by_cycle_for_panoramic_stitching.group_images import GroupImages from __code import system -system.System.select_working_dir(notebook='group_images_by_cycle_for_panoramic_stitching') +from __code.group_images_by_cycle_for_panoramic_stitching.group_images import GroupImages + +system.System.select_working_dir(notebook="group_images_by_cycle_for_panoramic_stitching") from __code.__all import custom_style + custom_style.style() # + [markdown] run_control={"frozen": false, "read_only": false} @@ -33,7 +35,7 @@ o_group.select_input_folder() # - -# # Sort files +# # Sort files o_group.how_to_sort_files() @@ -45,5 +47,3 @@ # + run_control={"frozen": false, "read_only": false} o_group.select_output_folder() # - - - diff --git a/notebooks/converted_notebooks/hfir_reactor_element_analysis.py b/notebooks/converted_notebooks/hfir_reactor_element_analysis.py index 7f626dd9..7f5800a8 100755 --- a/notebooks/converted_notebooks/hfir_reactor_element_analysis.py +++ b/notebooks/converted_notebooks/hfir_reactor_element_analysis.py @@ -23,21 +23,23 @@ # + run_control={"frozen": false, "read_only": false} import warnings -warnings.filterwarnings('ignore') +warnings.filterwarnings("ignore") + +from __code import system from __code.hfir_reactor_element_analysis.hfir_reactor_element_analysis import HfirReactorElementAnalysis from __code.hfir_reactor_element_analysis.interface_handler import InterfaceHandler -from __code import system -system.System.select_working_dir(notebook='hfir_reactor_element_analysis') +system.System.select_working_dir(notebook="hfir_reactor_element_analysis") from __code.__all import custom_style + custom_style.style() # + run_control={"frozen": false, "read_only": false} # %gui qt # + [markdown] run_control={"frozen": false, "read_only": false} -# # Select ASCII file +# # Select ASCII file # # This file should have been created by the [circular_profile_of_a_ring](circular_profile_of_a_ring.ipynb) notebook. @@ -46,18 +48,18 @@ o_selection.select_ascii_file() # - -o_select = InterfaceHandler(working_dir=system.System.get_working_dir(), - o_selection=o_selection) +o_select = InterfaceHandler(working_dir=system.System.get_working_dir(), o_selection=o_selection) -# # DEBUG +# # DEBUG # + +import os + from __code.hfir_reactor_element_analysis.hfir_reactor_element_analysis import HfirReactorElementAnalysis from __code.hfir_reactor_element_analysis.interface_handler import InterfaceHandler -import os -ascii_file_name = '/Users/j35/IPTS/HFIR-Reactor/HFIR-Reactor_profiles_top.csv' +ascii_file_name = "/Users/j35/IPTS/HFIR-Reactor/HFIR-Reactor_profiles_top.csv" assert os.path.exists(ascii_file_name) # - @@ -67,8 +69,5 @@ o_selection = HfirReactorElementAnalysis(working_dir="/Users/j35/IPTS/HFIR-Reactor/") o_selection.load_ascii(ascii_file_name) -o_select = InterfaceHandler(working_dir="/Users/j35/IPTS/HFIR-Reactor/", - o_selection=o_selection) +o_select = InterfaceHandler(working_dir="/Users/j35/IPTS/HFIR-Reactor/", o_selection=o_selection) # - - - diff --git a/notebooks/converted_notebooks/ibeatles_strain_mapping_ASCII_loader.py b/notebooks/converted_notebooks/ibeatles_strain_mapping_ASCII_loader.py index c7408d2d..9c3792aa 100755 --- a/notebooks/converted_notebooks/ibeatles_strain_mapping_ASCII_loader.py +++ b/notebooks/converted_notebooks/ibeatles_strain_mapping_ASCII_loader.py @@ -17,16 +17,19 @@ # # + [markdown] run_control={"frozen": false, "read_only": false} -# # Select Your IPTS +# # Select Your IPTS # + run_control={"frozen": false, "read_only": false} import warnings -warnings.filterwarnings('ignore') -from __code.ibeatles_strain_mapping_ascii_loader.main import Main +warnings.filterwarnings("ignore") + from __code import system +from __code.ibeatles_strain_mapping_ascii_loader.main import Main + system.System.select_working_dir() from __code.__all import custom_style + custom_style.style() # %matplotlib notebook @@ -35,15 +38,13 @@ # # Select ASCII file created in iBeatles (strain step) # + run_control={"frozen": false, "read_only": false} -o_strain_display = Main(working_dir = system.System.get_working_dir()) +o_strain_display = Main(working_dir=system.System.get_working_dir()) o_strain_display.select_ascii_file() # - -# # Display data +# # Display data # + run_control={"frozen": false, "read_only": false} o_strain_display.process_data() -o_strain_display.display() +o_strain_display.display() # - - - diff --git a/notebooks/converted_notebooks/ibeatles_strain_mapping_HDF5_loader.py b/notebooks/converted_notebooks/ibeatles_strain_mapping_HDF5_loader.py index 08d1f2a0..61961a47 100755 --- a/notebooks/converted_notebooks/ibeatles_strain_mapping_HDF5_loader.py +++ b/notebooks/converted_notebooks/ibeatles_strain_mapping_HDF5_loader.py @@ -17,16 +17,19 @@ # # + [markdown] run_control={"frozen": false, "read_only": false} -# # Select Your IPTS +# # Select Your IPTS # + run_control={"frozen": false, "read_only": false} import warnings -warnings.filterwarnings('ignore') -from __code.ibeatles_strain_mapping_hdf5_loader.main import Main +warnings.filterwarnings("ignore") + from __code import system +from __code.ibeatles_strain_mapping_hdf5_loader.main import Main + system.System.select_working_dir() from __code.__all import custom_style + custom_style.style() # %matplotlib notebook @@ -37,19 +40,17 @@ # # + run_control={"frozen": false, "read_only": false} -o_strain_display = Main(working_dir = system.System.get_working_dir()) +o_strain_display = Main(working_dir=system.System.get_working_dir()) o_strain_display.select_hdf5_file() # - -# # Display all data +# # Display all data # + run_control={"frozen": false, "read_only": false} o_strain_display.process_data() -o_strain_display.display() +o_strain_display.display() # - # # Display strain mapping and sample o_strain_display.display_with_interpolation() - - diff --git a/notebooks/converted_notebooks/images_and_metadata_extrapolation_matcher.py b/notebooks/converted_notebooks/images_and_metadata_extrapolation_matcher.py index c3438896..ed387d40 100755 --- a/notebooks/converted_notebooks/images_and_metadata_extrapolation_matcher.py +++ b/notebooks/converted_notebooks/images_and_metadata_extrapolation_matcher.py @@ -18,12 +18,14 @@ # # Select your IPTS -from __code.select_files_and_folders import SelectAsciiFile, SelectFolder -from __code.images_and_metadata_extrapolation_matcher import ImagesAndMetadataExtrapolationMatcher # %matplotlib notebook from __code import system -system.System.select_working_dir(notebook='images_and_metadata_extrapolation_matcher') +from __code.images_and_metadata_extrapolation_matcher import ImagesAndMetadataExtrapolationMatcher +from __code.select_files_and_folders import SelectAsciiFile, SelectFolder + +system.System.select_working_dir(notebook="images_and_metadata_extrapolation_matcher") from __code.__all import custom_style + custom_style.style() # + [markdown] run_control={"frozen": false, "read_only": false} @@ -34,7 +36,7 @@ o_select_ascii1 = SelectAsciiFile(system=system) -# # Select Metadata vs Time Stamp text File +# # Select Metadata vs Time Stamp text File # File creatd by either # @@ -48,15 +50,14 @@ # # Select Data to Merge -o_matcher = ImagesAndMetadataExtrapolationMatcher(ascii_file_1=o_select_ascii1.ascii_file, - ascii_file_2=o_select_ascii2.ascii_file) +o_matcher = ImagesAndMetadataExtrapolationMatcher( + ascii_file_1=o_select_ascii1.ascii_file, ascii_file_2=o_select_ascii2.ascii_file +) # # Extrapolate and Display Results o_matcher.extrapolate_selected_metadata() -# # Select Output Folder +# # Select Output Folder o_folder = SelectFolder(system=system, next_function=o_matcher.export_ascii) - - diff --git a/notebooks/converted_notebooks/images_registration_pystackreg.py b/notebooks/converted_notebooks/images_registration_pystackreg.py index 71ade0a5..f243b43a 100755 --- a/notebooks/converted_notebooks/images_registration_pystackreg.py +++ b/notebooks/converted_notebooks/images_registration_pystackreg.py @@ -17,29 +17,30 @@ # # + [markdown] run_control={"frozen": false, "read_only": false} -# # Select Your IPTS +# # Select Your IPTS # + run_control={"frozen": false, "read_only": false} +from __code import system from __code.images_registration_pystackreg.main import ImagesRegistrationPystackreg -from __code import system -system.System.select_working_dir(notebook='images_registration_pystackreg') +system.System.select_working_dir(notebook="images_registration_pystackreg") from __code.__all import custom_style + custom_style.style() # + [markdown] run_control={"frozen": false, "read_only": false} # # Select images to register # + run_control={"frozen": false, "read_only": false} -o_register = ImagesRegistrationPystackreg(working_dir = system.System.get_working_dir()) +o_register = ImagesRegistrationPystackreg(working_dir=system.System.get_working_dir()) o_register.select_folder() # - -# # Display unregistered images +# # Display unregistered images o_register.display_unregistered() -# # Crop images +# # Crop images # Select region of images to keep @@ -48,11 +49,11 @@ o_register.perform_cropping() -# # Define registration parameters +# # Define registration parameters o_register.define_parameters() -# # Perform registration +# # Perform registration o_register.run() @@ -67,6 +68,6 @@ o_register.perform_cropping_for_export() -# # Export Images +# # Export Images o_register.export() diff --git a/notebooks/converted_notebooks/integrated_roi_counts_vs_file_name_and_time_stamp.py b/notebooks/converted_notebooks/integrated_roi_counts_vs_file_name_and_time_stamp.py index ae8ce835..c36f6358 100755 --- a/notebooks/converted_notebooks/integrated_roi_counts_vs_file_name_and_time_stamp.py +++ b/notebooks/converted_notebooks/integrated_roi_counts_vs_file_name_and_time_stamp.py @@ -18,27 +18,30 @@ # # + [markdown] run_control={"frozen": false, "read_only": false} -# # Setup Environment +# # Setup Environment # + run_control={"frozen": false, "read_only": false} # %gui qt # + [markdown] run_control={"frozen": false, "read_only": false} -# # Select your IPTS +# # Select your IPTS # + run_control={"frozen": false, "read_only": false} import warnings -warnings.filterwarnings('ignore') + +warnings.filterwarnings("ignore") from __code.ui_builder import UiBuilder -o_builder = UiBuilder(ui_name = 'ui_integrated_roi_counts_vs_file_name_and_time_stamp.ui') + +o_builder = UiBuilder(ui_name="ui_integrated_roi_counts_vs_file_name_and_time_stamp.ui") from __code import system -from __code.ipywe.myfileselector import FileSelection from __code.integrated_roi_counts_vs_file_name_and_time_stamp import IntegratedRoiUi +from __code.ipywe.myfileselector import FileSelection -system.System.select_working_dir(notebook='integrated_roi_counts_vs_file_name_and_time_stamp') +system.System.select_working_dir(notebook="integrated_roi_counts_vs_file_name_and_time_stamp") from __code.__all import custom_style + custom_style.style() # + [markdown] run_control={"frozen": false, "read_only": false} @@ -49,15 +52,13 @@ o_selection.select_data() # + [markdown] run_control={"frozen": false, "read_only": false} -# # Launch UI +# # Launch UI # + run_control={"frozen": false, "read_only": false} -o_integration = IntegratedRoiUi(working_dir=system.System.get_working_dir(), - data_dict=o_selection.data_dict['sample']) +o_integration = IntegratedRoiUi(working_dir=system.System.get_working_dir(), data_dict=o_selection.data_dict["sample"]) o_integration.show() # + run_control={"frozen": false, "read_only": false} # + run_control={"frozen": false, "read_only": false} - diff --git a/notebooks/converted_notebooks/list_element_bragg_edges.py b/notebooks/converted_notebooks/list_element_bragg_edges.py index a6a715b2..3a5c5937 100755 --- a/notebooks/converted_notebooks/list_element_bragg_edges.py +++ b/notebooks/converted_notebooks/list_element_bragg_edges.py @@ -21,10 +21,11 @@ # # Import code # + run_control={"frozen": false, "read_only": false} -from __code.bragg_edge.bragg_edge import BraggEdge, Interface -from __code.__all import custom_style from __code import system -system.System.log_use(notebook='list_element_bragg_edges') +from __code.__all import custom_style +from __code.bragg_edge.bragg_edge import BraggEdge + +system.System.log_use(notebook="list_element_bragg_edges") custom_style.style() # + [markdown] run_control={"frozen": false, "read_only": false} @@ -35,12 +36,10 @@ o_bragg.full_list_elements() # - -# ## List Bragg Edges +# ## List Bragg Edges o_bragg.list_powder_bragg_edges() -# ## Export Table as CSV +# ## Export Table as CSV o_bragg.select_output_folder() - - diff --git a/notebooks/converted_notebooks/list_metadata_and_time_with_oncat.py b/notebooks/converted_notebooks/list_metadata_and_time_with_oncat.py index 575e4140..e4feb2d9 100755 --- a/notebooks/converted_notebooks/list_metadata_and_time_with_oncat.py +++ b/notebooks/converted_notebooks/list_metadata_and_time_with_oncat.py @@ -16,32 +16,31 @@ # # -# # Select Your IPTS +# # Select Your IPTS # + -from __code.select_files_and_folders import SelectFiles, SelectFolder +from __code import system from __code.list_metadata_and_time_with_oncat import ListMetadata +from __code.select_files_and_folders import SelectFiles, SelectFolder -from __code import system -system.System.select_working_dir(notebook='list_metadata_and_time_with_oncat') +system.System.select_working_dir(notebook="list_metadata_and_time_with_oncat") from __code.__all import custom_style + custom_style.style() # - -# # Select Images +# # Select Images o_select = SelectFiles(system=system) -# # Log in to ONCat +# # Log in to ONCat o_list = ListMetadata() -# # Select Metadata to Keep +# # Select Metadata to Keep o_list.select_metadata(system=system, list_of_files=o_select.list_of_files) # # Create and Export ASCII File o_output_folder = SelectFolder(system=system, next_function=o_list.export_ascii) - - diff --git a/notebooks/converted_notebooks/list_tiff_metadata.py b/notebooks/converted_notebooks/list_tiff_metadata.py index 2c897819..b0282fad 100755 --- a/notebooks/converted_notebooks/list_tiff_metadata.py +++ b/notebooks/converted_notebooks/list_tiff_metadata.py @@ -22,10 +22,12 @@ # # Select Your IPTS # + run_control={"frozen": false, "read_only": false} -from __code.select_metadata_to_display import DisplayMetadata from __code import system -system.System.select_working_dir(notebook='list_tiff_metadata') +from __code.select_metadata_to_display import DisplayMetadata + +system.System.select_working_dir(notebook="list_tiff_metadata") from __code.__all import custom_style + custom_style.style() # + [markdown] run_control={"frozen": false, "read_only": false} @@ -33,7 +35,7 @@ # + run_control={"frozen": false, "read_only": false} o_meta = DisplayMetadata(working_dir=system.System.get_working_dir()) -o_meta.select_images(instruction='Select TIFF images ...') +o_meta.select_images(instruction="Select TIFF images ...") # + [markdown] run_control={"frozen": false, "read_only": false} # # Select Metadata to Display @@ -51,13 +53,12 @@ o_meta.display_metadata_selected() # + [markdown] run_control={"frozen": false, "read_only": false} -# # Export Metadata Selected +# # Export Metadata Selected # + run_control={"frozen": false, "read_only": false} -o_meta.select_output_folder(instruction='Select Output Folder ...') +o_meta.select_output_folder(instruction="Select Output Folder ...") # + run_control={"frozen": false, "read_only": false} o_meta.export() # + run_control={"frozen": false, "read_only": false} - diff --git a/notebooks/converted_notebooks/march_dollase_bragg_fitting.py b/notebooks/converted_notebooks/march_dollase_bragg_fitting.py index ddab8d7e..65f83d5d 100755 --- a/notebooks/converted_notebooks/march_dollase_bragg_fitting.py +++ b/notebooks/converted_notebooks/march_dollase_bragg_fitting.py @@ -13,11 +13,12 @@ # --- # + -import os import json -import numpy as np +import os import matplotlib.pyplot as plt +import numpy as np + # %matplotlib notebook # - @@ -26,12 +27,12 @@ assert os.path.exists(json_file) with open(json_file) as f: - data = json.load(f) + data = json.load(f) # + -x_axis = data['xaxis'] -y_axis = data['yaxis'] -parameters = data['parameters'] +x_axis = data["xaxis"] +y_axis = data["yaxis"] +parameters = data["parameters"] x_axis = np.array(x_axis) y_axis = np.array(y_axis) @@ -42,7 +43,5 @@ fig = plt.figure() ax = fig.add_subplot(111) -ax.plot(x_axis, y_axis, '.') +ax.plot(x_axis, y_axis, ".") plt.show() - - diff --git a/notebooks/converted_notebooks/match_images_shapes.py b/notebooks/converted_notebooks/match_images_shapes.py index 355f5ee3..3dc8c176 100755 --- a/notebooks/converted_notebooks/match_images_shapes.py +++ b/notebooks/converted_notebooks/match_images_shapes.py @@ -19,12 +19,13 @@ # # Select Your IPTS # + +from __code import system from __code.match_images_shapes.load_images import LoadImages from __code.match_images_shapes.main import Main -from __code import system -system.System.select_working_dir(notebook='rotate_and_crop_images') +system.System.select_working_dir(notebook="rotate_and_crop_images") from __code.__all import custom_style + custom_style.style() # + [markdown] run_control={"frozen": false, "read_only": false} @@ -38,13 +39,13 @@ o_load.select_images(use_next=True) # - -# # Shapes available +# # Shapes available -o_main = Main(working_data=o_load.working_data, list_images=o_load.list_images, working_metadata=o_load.working_metadata) +o_main = Main( + working_data=o_load.working_data, list_images=o_load.list_images, working_metadata=o_load.working_metadata +) o_main.display_available_shapes() -# # Select output location +# # Select output location o_main.select_output_folder() - - diff --git a/notebooks/converted_notebooks/math_images.py b/notebooks/converted_notebooks/math_images.py index a7359490..8934c7b8 100755 --- a/notebooks/converted_notebooks/math_images.py +++ b/notebooks/converted_notebooks/math_images.py @@ -16,13 +16,15 @@ # # -# # Select Your IPTS +# # Select Your IPTS # + run_control={"frozen": false, "read_only": false} -from __code.math_images import MathImages from __code import system -system.System.select_working_dir(notebook='math_images') +from __code.math_images import MathImages + +system.System.select_working_dir(notebook="math_images") from __code.__all import custom_style + custom_style.style() # + [markdown] run_control={"frozen": false, "read_only": false} @@ -50,10 +52,8 @@ o_math.recap() # + [markdown] run_control={"frozen": false, "read_only": false} -# # Select Output Folder +# # Select Output Folder # + run_control={"frozen": false, "read_only": false} o_math.select_output_folder() # - - - diff --git a/notebooks/converted_notebooks/mcp_chips_corrector.py b/notebooks/converted_notebooks/mcp_chips_corrector.py index 3a4a7108..b9b70a6c 100755 --- a/notebooks/converted_notebooks/mcp_chips_corrector.py +++ b/notebooks/converted_notebooks/mcp_chips_corrector.py @@ -17,21 +17,24 @@ # # + [markdown] run_control={"frozen": false, "read_only": false} -# # Select Your IPTS +# # Select Your IPTS # + run_control={"frozen": false, "read_only": false} import warnings -warnings.filterwarnings('ignore') + +warnings.filterwarnings("ignore") from __code import system -from __code.mcp_chips_corrector.mcp_chips_corrector import McpChipsCorrector from __code.mcp_chips_corrector.interface import Interface -system.System.select_working_dir(notebook='mcp_chips_corrector') +from __code.mcp_chips_corrector.mcp_chips_corrector import McpChipsCorrector + +system.System.select_working_dir(notebook="mcp_chips_corrector") from __code.__all import custom_style + custom_style.style() # - -# ## UI Setup +# ## UI Setup # %gui qt @@ -39,11 +42,11 @@ # # Select MCP data corrected folder # + run_control={"frozen": false, "read_only": false} -o_corrector = McpChipsCorrector(working_dir = system.System.get_working_dir()) +o_corrector = McpChipsCorrector(working_dir=system.System.get_working_dir()) o_corrector.select_folder() # - -# # Launch UI +# # Launch UI o_interface = Interface(o_corrector=o_corrector) o_interface.show() diff --git a/notebooks/converted_notebooks/metadata_ascii_parser.py b/notebooks/converted_notebooks/metadata_ascii_parser.py index 5ef067f9..c2cdcd05 100755 --- a/notebooks/converted_notebooks/metadata_ascii_parser.py +++ b/notebooks/converted_notebooks/metadata_ascii_parser.py @@ -19,11 +19,12 @@ # # Select your IPTS # + +from __code import system from __code.metadata_ascii_parser import * -from __code import system -system.System.select_working_dir(notebook='metadata_ascii_parser') +system.System.select_working_dir(notebook="metadata_ascii_parser") from __code.__all import custom_style + custom_style.style() # + [markdown] run_control={"frozen": false, "read_only": false} @@ -33,7 +34,7 @@ o_file = MetadataAsciiParser(system.System.get_working_dir()) o_file.select_metadata_file() -# # Select Metadata Info to Keep +# # Select Metadata Info to Keep # + [markdown] run_control={"frozen": false, "read_only": false} # **Allow users to define:** @@ -43,11 +44,13 @@ # * index or label of time info column in big table # + run_control={"frozen": false, "read_only": false} -o_meta = MetadataFileParser(filename=o_file.metadata_file, - meta_type='mpt', - time_label='time/s', - reference_line_showing_end_of_metadata='Number of loops', - end_of_metadata_after_how_many_lines_from_reference_line=1) +o_meta = MetadataFileParser( + filename=o_file.metadata_file, + meta_type="mpt", + time_label="time/s", + reference_line_showing_end_of_metadata="Number of loops", + end_of_metadata_after_how_many_lines_from_reference_line=1, +) o_meta.parse() o_meta.select_data_to_keep() @@ -57,5 +60,3 @@ o_meta.keep_only_columns_of_data_of_interest() o_meta.select_output_location() - - diff --git a/notebooks/converted_notebooks/metadata_overlapping_images.py b/notebooks/converted_notebooks/metadata_overlapping_images.py index ae2d3768..b3d7f656 100755 --- a/notebooks/converted_notebooks/metadata_overlapping_images.py +++ b/notebooks/converted_notebooks/metadata_overlapping_images.py @@ -19,19 +19,20 @@ # # + [markdown] run_control={"frozen": false, "read_only": false} -# # Select your IPTS +# # Select your IPTS # + run_control={"frozen": false, "read_only": false} +from __code import system from __code.ipywe.myfileselector import FileSelection from __code.metadata_overlapping_images.metadata_overlapping_images import MetadataOverlappingImagesUi -from __code import system -system.System.select_working_dir(notebook='metadata_overlapping_images') +system.System.select_working_dir(notebook="metadata_overlapping_images") from __code.__all import custom_style + custom_style.style() # + [markdown] run_control={"frozen": false, "read_only": false} -# # Python Import +# # Python Import # + run_control={"frozen": false, "read_only": false} # %gui qt @@ -44,12 +45,11 @@ o_selection.select_data() # + [markdown] run_control={"frozen": false, "read_only": false} -# # Launch UI +# # Launch UI # + run_control={"frozen": false, "read_only": false} -o_profile = MetadataOverlappingImagesUi(working_dir=system.System.get_working_dir(), - data_dict=o_selection.data_dict['sample']) +o_profile = MetadataOverlappingImagesUi( + working_dir=system.System.get_working_dir(), data_dict=o_selection.data_dict["sample"] +) o_profile.show() # - - - diff --git a/notebooks/converted_notebooks/normalization.py b/notebooks/converted_notebooks/normalization.py index 6ea19d77..244cd3c5 100755 --- a/notebooks/converted_notebooks/normalization.py +++ b/notebooks/converted_notebooks/normalization.py @@ -18,15 +18,16 @@ # # + [markdown] run_control={"frozen": false, "read_only": false} -# # Select Your IPTS +# # Select Your IPTS # + run_control={"frozen": false, "read_only": false} +from __code import system from __code.normalization.normalization import * from __code.roi_selection_ui import Interface -from __code import system -system.System.select_working_dir(notebook='normalization') +system.System.select_working_dir(notebook="normalization") from __code.__all import custom_style + custom_style.style() # + [markdown] run_control={"frozen": false, "read_only": false} @@ -45,7 +46,7 @@ wizard = WizardPanel(sample_panel=sample_panel) # + [markdown] run_control={"frozen": false, "read_only": false} -# # Select Background Region +# # Select Background Region # + run_control={"frozen": false, "read_only": false} o_norm = sample_panel.o_norm_handler @@ -56,17 +57,17 @@ # # Normalization # - -# ## Settings +# ## Settings o_norm.settings() -# ## Create normalized data +# ## Create normalized data # + run_control={"frozen": false, "read_only": false} o_norm.run_normalization(dict_roi=o_gui.roi_selected) # + [markdown] run_control={"frozen": false, "read_only": false} -# # Export +# # Export # + run_control={"frozen": false, "read_only": false} o_norm.select_export_folder(ipts_folder=sample_panel.ipts_dir) @@ -74,5 +75,3 @@ # + run_control={"frozen": false, "read_only": false} o_norm.export() # - - - diff --git a/notebooks/converted_notebooks/normalization_batch.py b/notebooks/converted_notebooks/normalization_batch.py index c21538c6..8ac6ce10 100755 --- a/notebooks/converted_notebooks/normalization_batch.py +++ b/notebooks/converted_notebooks/normalization_batch.py @@ -22,18 +22,19 @@ # # + [markdown] run_control={"frozen": false, "read_only": false} -# # Select Your IPTS +# # Select Your IPTS # + run_control={"frozen": false, "read_only": false} from __code.normalization_batch import * - from __code.ui_builder import UiBuilder -o_builder = UiBuilder(ui_name = 'ui_roi_selection.ui') -from __code.roi_selection_ui import Interface +o_builder = UiBuilder(ui_name="ui_roi_selection.ui") from __code import system +from __code.roi_selection_ui import Interface + system.System.select_working_dir() from __code.__all import custom_style + custom_style.style() # + [markdown] run_control={"frozen": false, "read_only": false} @@ -52,7 +53,7 @@ wizard = WizardPanel(sample_panel=sample_panel) # + [markdown] run_control={"frozen": false, "read_only": false} -# # Select Background Region +# # Select Background Region # + run_control={"frozen": false, "read_only": false} o_norm = sample_panel.o_norm_handler @@ -69,4 +70,3 @@ o_norm.export(rois=o_gui.roi_selected) # + run_control={"frozen": false, "read_only": false} - diff --git a/notebooks/converted_notebooks/normalization_with_simplify_selection.py b/notebooks/converted_notebooks/normalization_with_simplify_selection.py index 3b3822fa..f4a6d0c7 100755 --- a/notebooks/converted_notebooks/normalization_with_simplify_selection.py +++ b/notebooks/converted_notebooks/normalization_with_simplify_selection.py @@ -17,20 +17,22 @@ # # + [markdown] run_control={"frozen": false, "read_only": false} -# # Select Your IPTS +# # Select Your IPTS # + run_control={"frozen": false, "read_only": false} -from __code.normalization.normalization_with_simplify_selection import NormalizationWithSimplifySelection from __code import system -system.System.select_working_dir(notebook='normalization_with_simplify_selection') +from __code.normalization.normalization_with_simplify_selection import NormalizationWithSimplifySelection + +system.System.select_working_dir(notebook="normalization_with_simplify_selection") from __code.__all import custom_style + custom_style.style() # - # %gui qt # + [markdown] run_control={"frozen": false, "read_only": false} -# # Select List of Images to Normalize +# # Select List of Images to Normalize # - # Program will create a full table of the normalization workflow according to the **acquisition time** and **instrument configurations**. @@ -40,12 +42,10 @@ o_which = NormalizationWithSimplifySelection(working_dir=system.System.get_working_dir()) o_which.select_sample_folder() -# # Normalization workflow summary +# # Normalization workflow summary o_which.checking_normalization_workflow() -# # Select Output Folder +# # Select Output Folder o_which.select_output_folder() - - diff --git a/notebooks/converted_notebooks/outliers_filtering_tool.py b/notebooks/converted_notebooks/outliers_filtering_tool.py index a67fc1c5..c868f936 100755 --- a/notebooks/converted_notebooks/outliers_filtering_tool.py +++ b/notebooks/converted_notebooks/outliers_filtering_tool.py @@ -23,13 +23,15 @@ # + run_control={"frozen": false, "read_only": false} import warnings -warnings.filterwarnings('ignore') -from __code.outliers_filtering.main import Interface, InterfaceHandler +warnings.filterwarnings("ignore") from __code import system -system.System.select_working_dir(notebook='outliers_filtering_tool') +from __code.outliers_filtering.main import Interface, InterfaceHandler + +system.System.select_working_dir(notebook="outliers_filtering_tool") from __code.__all import custom_style + custom_style.style() # + run_control={"frozen": false, "read_only": false} @@ -46,8 +48,6 @@ # # Load and Display Images # + run_control={"frozen": false, "read_only": false} -o_interface = Interface(list_of_files = o_template.get_list_of_files()) +o_interface = Interface(list_of_files=o_template.get_list_of_files()) o_interface.show() # - - - diff --git a/notebooks/converted_notebooks/overlay_images.py b/notebooks/converted_notebooks/overlay_images.py index 7fdf5610..6c540bf2 100755 --- a/notebooks/converted_notebooks/overlay_images.py +++ b/notebooks/converted_notebooks/overlay_images.py @@ -23,14 +23,16 @@ # + run_control={"frozen": false, "read_only": false} import warnings -warnings.filterwarnings('ignore') +warnings.filterwarnings("ignore") + +from __code import system from __code.overlay_images.interface_handler import InterfaceHandler from __code.overlay_images.overlay_images import OverlayImages -from __code import system -system.System.select_working_dir(notebook='overlay_images') +system.System.select_working_dir(notebook="overlay_images") from __code.__all import custom_style + custom_style.style() # + run_control={"frozen": false, "read_only": false} @@ -41,20 +43,18 @@ # + run_control={"frozen": false, "read_only": false} o_data = OverlayImages(working_dir=system.System.get_working_dir()) -o_data.select_input_folder(data_type='high resolution') +o_data.select_input_folder(data_type="high resolution") # - -# # Select folder containing low resolution images +# # Select folder containing low resolution images -o_data.select_input_folder(data_type='low resolution') +o_data.select_input_folder(data_type="low resolution") # + [markdown] run_control={"frozen": false, "read_only": false} # # Launch User Interface # + run_control={"frozen": false, "read_only": false} -o_interface = InterfaceHandler(o_norm_high_res=o_data.o_norm_high_res, - o_norm_low_res=o_data.o_norm_low_res, - working_dir=o_data.working_dir) +o_interface = InterfaceHandler( + o_norm_high_res=o_data.o_norm_high_res, o_norm_low_res=o_data.o_norm_low_res, working_dir=o_data.working_dir +) # - - - diff --git a/notebooks/converted_notebooks/panoramic_stitching.py b/notebooks/converted_notebooks/panoramic_stitching.py index 8d99a265..c37d3b8e 100755 --- a/notebooks/converted_notebooks/panoramic_stitching.py +++ b/notebooks/converted_notebooks/panoramic_stitching.py @@ -16,16 +16,19 @@ # # + [markdown] run_control={"frozen": false, "read_only": false} -# # Select Your IPTS +# # Select Your IPTS # + run_control={"frozen": false, "read_only": false} import warnings -warnings.filterwarnings('ignore') -from __code.panoramic_stitching.panoramic_stitching import PanoramicStitching +warnings.filterwarnings("ignore") + from __code import system -system.System.select_working_dir(notebook='panoramic_stitching') +from __code.panoramic_stitching.panoramic_stitching import PanoramicStitching + +system.System.select_working_dir(notebook="panoramic_stitching") from __code.__all import custom_style + custom_style.style() # - @@ -40,5 +43,3 @@ o_stitch = PanoramicStitching(working_dir=system.System.get_working_dir()) o_stitch.select_input_folders() # - - - diff --git a/notebooks/converted_notebooks/panoramic_stitching_for_tof.py b/notebooks/converted_notebooks/panoramic_stitching_for_tof.py index f42e8932..2ce37885 100755 --- a/notebooks/converted_notebooks/panoramic_stitching_for_tof.py +++ b/notebooks/converted_notebooks/panoramic_stitching_for_tof.py @@ -16,16 +16,19 @@ # # + [markdown] run_control={"frozen": false, "read_only": false} -# # Select Your IPTS +# # Select Your IPTS # + run_control={"frozen": false, "read_only": false} import warnings -warnings.filterwarnings('ignore') -from __code.panoramic_stitching_for_tof.panoramic_stitching_for_tof import PanoramicStitching +warnings.filterwarnings("ignore") + from __code import system -system.System.select_working_dir(notebook='panoramic_stitching_for_tof') +from __code.panoramic_stitching_for_tof.panoramic_stitching_for_tof import PanoramicStitching + +system.System.select_working_dir(notebook="panoramic_stitching_for_tof") from __code.__all import custom_style + custom_style.style() # - @@ -40,5 +43,3 @@ o_stitch = PanoramicStitching(working_dir=system.System.get_working_dir()) o_stitch.select_input_folders() # - - - diff --git a/notebooks/converted_notebooks/profile.py b/notebooks/converted_notebooks/profile.py index 1365228e..cf123e24 100755 --- a/notebooks/converted_notebooks/profile.py +++ b/notebooks/converted_notebooks/profile.py @@ -19,19 +19,20 @@ # # + [markdown] run_control={"frozen": false, "read_only": false} -# # Select your IPTS +# # Select your IPTS # + run_control={"frozen": false, "read_only": false} from __code import system from __code.ipywe.myfileselector import FileSelection from __code.profile.profile import ProfileUi -system.System.select_working_dir(notebook='profile') +system.System.select_working_dir(notebook="profile") from __code.__all import custom_style + custom_style.style() # + [markdown] run_control={"frozen": false, "read_only": false} -# # Python Import +# # Python Import # + run_control={"frozen": false, "read_only": false} # %gui qt @@ -44,11 +45,10 @@ o_selection.select_data() # + [markdown] run_control={"frozen": false, "read_only": false} -# # Launch UI +# # Launch UI # + run_control={"frozen": false, "read_only": false} -o_profile = ProfileUi(working_dir=system.System.get_working_dir(), - data_dict=o_selection.data_dict['sample']) +o_profile = ProfileUi(working_dir=system.System.get_working_dir(), data_dict=o_selection.data_dict["sample"]) o_profile.show() # + run_control={"frozen": false, "read_only": false} @@ -57,5 +57,3 @@ # + run_control={"frozen": false, "read_only": false} # - - - diff --git a/notebooks/converted_notebooks/radial_profile.py b/notebooks/converted_notebooks/radial_profile.py index 2e56ec38..0c949cfe 100755 --- a/notebooks/converted_notebooks/radial_profile.py +++ b/notebooks/converted_notebooks/radial_profile.py @@ -23,14 +23,16 @@ # + run_control={"frozen": false, "read_only": false} import warnings -warnings.filterwarnings('ignore') + +warnings.filterwarnings("ignore") from __code import system from __code.ipywe.myfileselector import FileSelection -from __code.radial_profile.radial_profile import RadialProfile, SelectRadialParameters +from __code.radial_profile.radial_profile import SelectRadialParameters -system.System.select_working_dir(notebook='radial_profile') +system.System.select_working_dir(notebook="radial_profile") from __code.__all import custom_style + custom_style.style() # + [markdown] run_control={"frozen": false, "read_only": false} @@ -50,9 +52,8 @@ # # Launch User Interface # + run_control={"frozen": false, "read_only": false} -o_select = SelectRadialParameters(working_dir=system.System.get_working_dir(), - data_dict=o_selection.data_dict['sample']) +o_select = SelectRadialParameters( + working_dir=system.System.get_working_dir(), data_dict=o_selection.data_dict["sample"] +) o_select.show() # - - - diff --git a/notebooks/converted_notebooks/registration.py b/notebooks/converted_notebooks/registration.py index 3a873a93..933ac8bc 100755 --- a/notebooks/converted_notebooks/registration.py +++ b/notebooks/converted_notebooks/registration.py @@ -19,22 +19,24 @@ # # + [markdown] run_control={"frozen": false, "read_only": false} -# # Select your IPTS +# # Select your IPTS # + run_control={"frozen": false, "read_only": false} import warnings -warnings.filterwarnings('ignore') +warnings.filterwarnings("ignore") + +from __code import system from __code.registration.file_selection import FileSelection from __code.registration.registration import RegistrationUi -from __code import system -system.System.select_working_dir(notebook='registration') +system.System.select_working_dir(notebook="registration") from __code.__all import custom_style + custom_style.style() # + [markdown] run_control={"frozen": false, "read_only": false} -# # Python Import +# # Python Import # + run_control={"frozen": false, "read_only": false} # %gui qt @@ -47,11 +49,10 @@ o_selection.select_data() # + [markdown] run_control={"frozen": false, "read_only": false} -# # Launch Registration UI +# # Launch Registration UI # + run_control={"frozen": false, "read_only": false} -o_registration = RegistrationUi(data_dict=o_selection.data_dict['sample']) +o_registration = RegistrationUi(data_dict=o_selection.data_dict["sample"]) o_registration.show() # + run_control={"frozen": false, "read_only": false} - diff --git a/notebooks/converted_notebooks/rename_files.py b/notebooks/converted_notebooks/rename_files.py index 674475c0..a3106dfa 100755 --- a/notebooks/converted_notebooks/rename_files.py +++ b/notebooks/converted_notebooks/rename_files.py @@ -19,13 +19,15 @@ # # + [markdown] run_control={"frozen": false, "read_only": false} -# # Select your IPTS +# # Select your IPTS # + run_control={"frozen": false, "read_only": false} -from __code.rename_files.rename_files import NamingSchemaDefinition, FormatFileNameIndex from __code import system -system.System.select_working_dir(notebook='rename_files') +from __code.rename_files.rename_files import FormatFileNameIndex + +system.System.select_working_dir(notebook="rename_files") from __code.__all import custom_style + custom_style.style() # + [markdown] run_control={"frozen": false, "read_only": false} @@ -36,7 +38,7 @@ o_format.select_input_files() # - -# # Define new naming schema +# # Define new naming schema o_format.define_new_naming_schema() @@ -52,5 +54,3 @@ # + run_control={"frozen": false, "read_only": false} o_format.o_schema.select_export_folder() # - - - diff --git a/notebooks/converted_notebooks/resonance_imaging_experiment_vs_theory.py b/notebooks/converted_notebooks/resonance_imaging_experiment_vs_theory.py index f90387e5..cb772f9b 100755 --- a/notebooks/converted_notebooks/resonance_imaging_experiment_vs_theory.py +++ b/notebooks/converted_notebooks/resonance_imaging_experiment_vs_theory.py @@ -17,21 +17,22 @@ IPTS = 19558 # + [markdown] run_control={"frozen": false, "read_only": false} -# # Description +# # Description # + [markdown] run_control={"frozen": false, "read_only": false} # Steps are: # - load a stack of images # - define your sample -# +# # => the average counts of the region vs the stack (index, TOF or lambda) will be displayed # compared to the theory signal of a given set of layers. # + [markdown] run_control={"frozen": false, "read_only": false} -# # Notebook Initialization +# # Notebook Initialization # + run_control={"frozen": false, "read_only": false} from __code.__all import custom_style + custom_style.style() # + run_control={"frozen": false, "read_only": false} @@ -39,32 +40,32 @@ # + run_control={"frozen": false, "marked": true, "read_only": false} from __code.ui_builder import UiBuilder -o_builder = UiBuilder(ui_name = 'ui_resonance_imaging_experiment_vs_theory.ui') -o_builder = UiBuilder(ui_name = 'ui_resonance_imaging_layers_input.ui') -from __code import file_handler, utilities -from __code.display_counts_of_region_vs_stack_vs_theory import ImageWindow -from __code.display_imaging_resonance_sample_definition import SampleWindow +o_builder = UiBuilder(ui_name="ui_resonance_imaging_experiment_vs_theory.ui") +o_builder = UiBuilder(ui_name="ui_resonance_imaging_layers_input.ui") + from NeuNorm.normalization import Normalization -from __code.ipywe import fileselector -import pprint +from __code import utilities +from __code.display_counts_of_region_vs_stack_vs_theory import ImageWindow +from __code.display_imaging_resonance_sample_definition import SampleWindow if debugging: ipts = IPTS else: ipts = utilities.get_ipts() -working_dir = utilities.get_working_dir(ipts=ipts, debugging=debugging, notebook='resonance_imaging_experiment_vs_theory') -print("Working dir: {}".format(working_dir)) +working_dir = utilities.get_working_dir( + ipts=ipts, debugging=debugging, notebook="resonance_imaging_experiment_vs_theory" +) +print(f"Working dir: {working_dir}") # + [markdown] cell_style="split" run_control={"frozen": false, "read_only": false} # # Select Stack Folder # + format="tab" run_control={"frozen": false, "read_only": false} -input_folder_ui = ipywe.fileselector.FileSelectorPanel(instruction='Select Input Folder', - type='directory', - start_dir=working_dir, - multiple=False) +input_folder_ui = ipywe.fileselector.FileSelectorPanel( + instruction="Select Input Folder", type="directory", start_dir=working_dir, multiple=False +) input_folder_ui.show() # + [markdown] run_control={"frozen": false, "read_only": false} @@ -76,7 +77,7 @@ o_norm.load(folder=working_folder, notebook=True) # + [markdown] run_control={"frozen": false, "read_only": false} -# # Define Sample +# # Define Sample # + run_control={"frozen": false, "read_only": false} _sample = SampleWindow(parent=None, debugging=debugging) @@ -88,15 +89,13 @@ # + run_control={"frozen": false, "read_only": false} o_reso = _sample.o_reso -_image = ImageWindow( - stack=(o_norm.data['sample']['data']), working_folder=working_folder, o_reso=o_reso) +_image = ImageWindow(stack=(o_norm.data["sample"]["data"]), working_folder=working_folder, o_reso=o_reso) _image.show() # + [markdown] run_control={"frozen": false, "read_only": false} -# # Export +# # Export # + [markdown] run_control={"frozen": false, "read_only": false} # UNDER CONSTRUCTION! # + run_control={"frozen": false, "read_only": false} - diff --git a/notebooks/converted_notebooks/roi_statistics_vs_stack.py b/notebooks/converted_notebooks/roi_statistics_vs_stack.py index a1ee2486..8b74e839 100755 --- a/notebooks/converted_notebooks/roi_statistics_vs_stack.py +++ b/notebooks/converted_notebooks/roi_statistics_vs_stack.py @@ -17,17 +17,19 @@ # # + [markdown] run_control={"frozen": false, "read_only": false} -# # Select Your IPTS +# # Select Your IPTS # + run_control={"frozen": false, "read_only": false} import warnings -warnings.filterwarnings('ignore') -from __code.roi_statistics_vs_stack.main import ImageWindow, FileHandler +warnings.filterwarnings("ignore") from __code import system -system.System.select_working_dir(notebook='roi_statistics_vs_stack') +from __code.roi_statistics_vs_stack.main import FileHandler, ImageWindow + +system.System.select_working_dir(notebook="roi_statistics_vs_stack") from __code.__all import custom_style + custom_style.style() # + [markdown] run_control={"frozen": false, "read_only": false} @@ -51,5 +53,3 @@ _image.show() _image.initialize_ui() # - - - diff --git a/notebooks/converted_notebooks/rotate_and_crop_images.py b/notebooks/converted_notebooks/rotate_and_crop_images.py index c537ec17..602d4d12 100755 --- a/notebooks/converted_notebooks/rotate_and_crop_images.py +++ b/notebooks/converted_notebooks/rotate_and_crop_images.py @@ -20,14 +20,16 @@ # + import warnings -warnings.filterwarnings('ignore') -from __code.load_images import LoadImages -from __code.rotate_and_crop_images.rotate_and_crop_images import RotateAndCropImages, Export +warnings.filterwarnings("ignore") from __code import system -system.System.select_working_dir(notebook='rotate_and_crop_images') +from __code.load_images import LoadImages +from __code.rotate_and_crop_images.rotate_and_crop_images import Export, RotateAndCropImages + +system.System.select_working_dir(notebook="rotate_and_crop_images") from __code.__all import custom_style + custom_style.style() # + run_control={"frozen": false, "read_only": false} @@ -44,22 +46,22 @@ o_load.select_images(virtual_load=True) # + [markdown] run_control={"frozen": false, "read_only": false} -# # Select crop region and/or rotation angle +# # Select crop region and/or rotation angle # + run_control={"frozen": false, "read_only": false} o_crop = RotateAndCropImages(o_load=o_load) o_crop.show() # + [markdown] run_control={"frozen": false, "read_only": false} -# # Export Images +# # Export Images # + run_control={"frozen": false, "read_only": false} rotated_working_data = o_crop.rotated_working_data rotation_angle = o_crop.rotation_angle -o_output_folder = Export(working_dir=system.System.get_working_dir(), - data_dict=o_crop.rotated_data_dict, - rotation_angle=rotation_angle) +o_output_folder = Export( + working_dir=system.System.get_working_dir(), data_dict=o_crop.rotated_data_dict, rotation_angle=rotation_angle +) o_output_folder.select_folder() # + [markdown] run_control={"frozen": false, "read_only": false} @@ -72,5 +74,3 @@ except: pass # - - - diff --git a/notebooks/converted_notebooks/scale_overlapping_images.py b/notebooks/converted_notebooks/scale_overlapping_images.py index 817282b6..405dc867 100755 --- a/notebooks/converted_notebooks/scale_overlapping_images.py +++ b/notebooks/converted_notebooks/scale_overlapping_images.py @@ -19,22 +19,25 @@ # # + [markdown] run_control={"frozen": false, "read_only": false} -# # Select your IPTS +# # Select your IPTS # + run_control={"frozen": false, "read_only": false} from __code.ui_builder import UiBuilder -o_builder = UiBuilder(ui_name = 'ui_scale_overlapping_images.ui') + +o_builder = UiBuilder(ui_name="ui_scale_overlapping_images.ui") from __code import system from __code.ipywe.myfileselector import FileSelection -#from __code.profile import ProfileUi -system.System.select_working_dir(notebook='scale_overlapping_images') +# from __code.profile import ProfileUi + +system.System.select_working_dir(notebook="scale_overlapping_images") from __code.__all import custom_style + custom_style.style() # + [markdown] run_control={"frozen": false, "read_only": false} -# # Python Import +# # Python Import # + run_control={"frozen": false, "read_only": false} # %gui qt @@ -47,15 +50,13 @@ o_selection.select_data() # + [markdown] run_control={"frozen": false, "read_only": false} -# # Launch UI +# # Launch UI # + run_control={"frozen": false, "read_only": false} -o_profile = ProfileUi(working_dir=system.System.get_working_dir(), - data_dict=o_selection.data_dict['sample']) +o_profile = ProfileUi(working_dir=system.System.get_working_dir(), data_dict=o_selection.data_dict["sample"]) o_profile.show() # + run_control={"frozen": false, "read_only": false} # + run_control={"frozen": false, "read_only": false} - diff --git a/notebooks/converted_notebooks/sequential_combine_images_using_metadata.py b/notebooks/converted_notebooks/sequential_combine_images_using_metadata.py index 02bd4916..6941589b 100755 --- a/notebooks/converted_notebooks/sequential_combine_images_using_metadata.py +++ b/notebooks/converted_notebooks/sequential_combine_images_using_metadata.py @@ -16,24 +16,26 @@ # # + [markdown] run_control={"frozen": false, "read_only": false} -# # Select Your IPTS +# # Select Your IPTS # + run_control={"frozen": false, "read_only": false} -from __code.sequential_combine_images_using_metadata import SequentialCombineImagesUsingMetadata from __code import system -system.System.select_working_dir(notebook='sequential_combine_images_using_metadata') +from __code.sequential_combine_images_using_metadata import SequentialCombineImagesUsingMetadata + +system.System.select_working_dir(notebook="sequential_combine_images_using_metadata") from __code.__all import custom_style + custom_style.style() # + [markdown] run_control={"frozen": false, "read_only": false} -# # Select Folder containing all images to merge +# # Select Folder containing all images to merge # + run_control={"frozen": false, "read_only": false} o_merge = SequentialCombineImagesUsingMetadata(working_dir=system.System.get_working_dir()) o_merge.select_folder() # - -# # Select Metadata to match +# # Select Metadata to match # Only sequential runs having the **same metadata you are going to select** will be combined @@ -60,5 +62,3 @@ # + run_control={"frozen": false, "read_only": false} o_merge.select_output_folder_and_merge() # - - - diff --git a/notebooks/converted_notebooks/shifting_time_offset.py b/notebooks/converted_notebooks/shifting_time_offset.py index f7276dad..0ddc4c39 100755 --- a/notebooks/converted_notebooks/shifting_time_offset.py +++ b/notebooks/converted_notebooks/shifting_time_offset.py @@ -16,15 +16,16 @@ # # -# # Select Your IPTS +# # Select Your IPTS # + -from __code.select_files_and_folders import SelectFiles, SelectFolder +from __code import system +from __code.select_files_and_folders import SelectFolder from __code.shifting_time_offset import ShiftTimeOffset -from __code import system -system.System.select_working_dir(notebook='shifting_time_offset') +system.System.select_working_dir(notebook="shifting_time_offset") from __code.__all import custom_style + custom_style.style() # - @@ -35,13 +36,13 @@ # # Repeat on other folders? -o_other_folders = SelectFolder(working_dir=o_shift.working_dir, - is_input_folder=True, - multiple_flags=True, - next_function=o_shift.selected_other_folders) +o_other_folders = SelectFolder( + working_dir=o_shift.working_dir, + is_input_folder=True, + multiple_flags=True, + next_function=o_shift.selected_other_folders, +) -# # Output Images +# # Output Images o_shift.offset_images() - - diff --git a/notebooks/converted_notebooks/template_ui.py b/notebooks/converted_notebooks/template_ui.py index d98c6c32..5e481960 100755 --- a/notebooks/converted_notebooks/template_ui.py +++ b/notebooks/converted_notebooks/template_ui.py @@ -17,23 +17,26 @@ # + run_control={"frozen": false, "read_only": false} import warnings -warnings.filterwarnings('ignore') + +warnings.filterwarnings("ignore") from __code.ui_builder import UiBuilder -o_builder = UiBuilder(ui_name = 'ui_panoramic_stitching.ui') -from __code.panoramic_stitching import Interface, InterfaceHandler +o_builder = UiBuilder(ui_name="ui_panoramic_stitching.ui") from __code import system +from __code.panoramic_stitching import Interface, InterfaceHandler + system.System.select_working_dir() from __code.__all import custom_style + custom_style.style() # + run_control={"frozen": false, "read_only": false} # %gui qt # + [markdown] run_control={"frozen": false, "read_only": false} -# # Description +# # Description # + [markdown] run_control={"frozen": false, "read_only": false} # This is just a template notebook for more complex UI that required pyqtgraph @@ -43,7 +46,7 @@ # + run_control={"frozen": false, "read_only": false} o_template = InterfaceHandler(working_dir=system.System.get_working_dir()) -o_template.select_images(instruction='Select tiff or Fits Images ...') +o_template.select_images(instruction="Select tiff or Fits Images ...") # + [markdown] run_control={"frozen": false, "read_only": false} # # Display Images @@ -54,4 +57,3 @@ o_interface.show() # + run_control={"frozen": false, "read_only": false} - diff --git a/notebooks/converted_notebooks/timepix3_event_hdf5-he3-detector.py b/notebooks/converted_notebooks/timepix3_event_hdf5-he3-detector.py index 9549eaf0..65fdd786 100755 --- a/notebooks/converted_notebooks/timepix3_event_hdf5-he3-detector.py +++ b/notebooks/converted_notebooks/timepix3_event_hdf5-he3-detector.py @@ -18,19 +18,18 @@ # # + [markdown] run_control={"frozen": false, "read_only": false} -# # Select Your IPTS +# # Select Your IPTS # + run_control={"frozen": false, "read_only": false} + from __code import system from __code.timepix3_event_hdf5_he3_detector.timepix3_event_hdf5_he3_detector import Timepix3EventHdf5 -import h5py - -system.System.select_working_dir(facility='SNS', instrument='SNAP') +system.System.select_working_dir(facility="SNS", instrument="SNAP") from __code.__all import custom_style + custom_style.style() -import matplotlib.pyplot as plt # %matplotlib notebook # + [markdown] run_control={"frozen": false, "read_only": false} @@ -39,5 +38,3 @@ o_event = Timepix3EventHdf5(working_dir=system.System.get_working_dir()) o_event.select_nexus() - - diff --git a/notebooks/converted_notebooks/timepix3_from_event_to_histo_hdf5.py b/notebooks/converted_notebooks/timepix3_from_event_to_histo_hdf5.py index 893c406c..ae05b1cc 100755 --- a/notebooks/converted_notebooks/timepix3_from_event_to_histo_hdf5.py +++ b/notebooks/converted_notebooks/timepix3_from_event_to_histo_hdf5.py @@ -18,20 +18,20 @@ # # + [markdown] run_control={"frozen": false, "read_only": false} -# # Select Your IPTS +# # Select Your IPTS # + run_control={"frozen": false, "read_only": false} -from __code import system -from __code.timepix3_from_event_to_histo_hdf5.timepix3_from_event_to_histo_hdf5 import Timepix3FromEventToHistoHdf5 - import h5py import numpy as np -system.System.select_working_dir(facility='SNS', instrument='SNAP') +from __code import system +from __code.timepix3_from_event_to_histo_hdf5.timepix3_from_event_to_histo_hdf5 import Timepix3FromEventToHistoHdf5 + +system.System.select_working_dir(facility="SNS", instrument="SNAP") from __code.__all import custom_style + custom_style.style() -import matplotlib.pyplot as plt # %matplotlib notebook # + [markdown] run_control={"frozen": false, "read_only": false} @@ -43,16 +43,16 @@ # # Manually loading the data -with h5py.File(o_event.input_nexus_file_name, 'r') as nxs: - o_event.x_array = np.array(nxs['events']['x']) - o_event.y_array = np.array(nxs['events']['y']) - o_event.tof_array = np.array(nxs['events']['tof_ns']) +with h5py.File(o_event.input_nexus_file_name, "r") as nxs: + o_event.x_array = np.array(nxs["events"]["x"]) + o_event.y_array = np.array(nxs["events"]["y"]) + o_event.tof_array = np.array(nxs["events"]["tof_ns"]) -# # Some statistics +# # Some statistics o_event.display_infos() -# # Define MCP detector size +# # Define MCP detector size o_event.define_detector() @@ -64,18 +64,16 @@ o_event.bins() -# # Display integrated stack +# # Display integrated stack o_event.display_integrated_stack() -# # Display slices +# # Display slices o_event.display_slices() -# # Export Histogram HDF5 +# # Export Histogram HDF5 o_event.define_output_filename() o_event.select_output_location() - - diff --git a/notebooks/converted_notebooks/timepix3_histo_hdf5_mcp_detector.py b/notebooks/converted_notebooks/timepix3_histo_hdf5_mcp_detector.py index fc516eef..ecac1d2b 100755 --- a/notebooks/converted_notebooks/timepix3_histo_hdf5_mcp_detector.py +++ b/notebooks/converted_notebooks/timepix3_histo_hdf5_mcp_detector.py @@ -18,25 +18,25 @@ # # + [markdown] run_control={"frozen": false, "read_only": false} -# # Select Your IPTS +# # Select Your IPTS # + run_control={"frozen": false, "read_only": false} from __code import system from __code.timepix3_histo_hdf5_mcp_detector.timepix3_histo_hdf5_mcp_detector import Timepix3HistoHdf5McpDetector -system.System.select_working_dir(facility='SNS', instrument='SNAP') +system.System.select_working_dir(facility="SNS", instrument="SNAP") from __code.__all import custom_style + custom_style.style() -import matplotlib.pyplot as plt # %matplotlib notebook # - -# # Prepare UI engine +# # Prepare UI engine # %gui qt -# # Select Histo MCP HDF5 File +# # Select Histo MCP HDF5 File o_timepix3 = Timepix3HistoHdf5McpDetector(working_dir=system.System.get_working_dir()) o_timepix3.hdf5_or_config_file_input() @@ -60,12 +60,10 @@ o_timepix3.select_peak_to_fit() -# ## fit peak +# ## fit peak o_timepix3.fitting() # # Saving session o_timepix3.saving_session() - - diff --git a/notebooks/converted_notebooks/truncate_file_names.py b/notebooks/converted_notebooks/truncate_file_names.py index 2fccdc22..b714007a 100755 --- a/notebooks/converted_notebooks/truncate_file_names.py +++ b/notebooks/converted_notebooks/truncate_file_names.py @@ -19,13 +19,15 @@ # # + [markdown] run_control={"frozen": false, "read_only": false} -# # Select your IPTS +# # Select your IPTS # + run_control={"frozen": false, "read_only": false} -from __code.truncate_file_names.truncate_file_names import TruncateFileNames from __code import system -system.System.select_working_dir(notebook='truncate_file_names') +from __code.truncate_file_names.truncate_file_names import TruncateFileNames + +system.System.select_working_dir(notebook="truncate_file_names") from __code.__all import custom_style + custom_style.style() # + [markdown] run_control={"frozen": false, "read_only": false} @@ -51,10 +53,6 @@ o_format.o_schema.select_export_folder() # - -# # Rename the files +# # Rename the files o_format.o_schema.rename_and_export_files() - - - - diff --git a/notebooks/converted_notebooks/venus_chop_tcero_monitor_counts.py b/notebooks/converted_notebooks/venus_chop_tcero_monitor_counts.py index 09a9477d..e6b27232 100755 --- a/notebooks/converted_notebooks/venus_chop_tcero_monitor_counts.py +++ b/notebooks/converted_notebooks/venus_chop_tcero_monitor_counts.py @@ -18,20 +18,18 @@ # # + [markdown] run_control={"frozen": false, "read_only": false} -# # Select Your IPTS +# # Select Your IPTS # + + from __code import system from __code.venus_chop_tcero_monitor_counts.main import VenusChopTCeroMonitorCounts -import h5py -import numpy as np - -system.System.select_working_dir(facility='SNS', instrument='VENUS') +system.System.select_working_dir(facility="SNS", instrument="VENUS") from __code.__all import custom_style + custom_style.style() -import matplotlib.pyplot as plt # %matplotlib notebook # - @@ -41,5 +39,3 @@ o_event = VenusChopTCeroMonitorCounts(working_dir=system.System.get_working_dir()) o_event.select_list_nexus() - - diff --git a/notebooks/converted_notebooks/venus_list_of_nexus_with_pc_above_threshold.py b/notebooks/converted_notebooks/venus_list_of_nexus_with_pc_above_threshold.py index 4b6bbb03..754fb8da 100755 --- a/notebooks/converted_notebooks/venus_list_of_nexus_with_pc_above_threshold.py +++ b/notebooks/converted_notebooks/venus_list_of_nexus_with_pc_above_threshold.py @@ -18,20 +18,18 @@ # # + [markdown] run_control={"frozen": false, "read_only": false} -# # Select Your IPTS +# # Select Your IPTS # + + from __code import system from __code.venus_list_of_nexus_with_pc_above_threshold.main import VenusNexusListPCAboveThreshold -import h5py -import numpy as np - -system.System.select_working_dir(facility='SNS', instrument='VENUS') +system.System.select_working_dir(facility="SNS", instrument="VENUS") from __code.__all import custom_style + custom_style.style() -import matplotlib.pyplot as plt # %matplotlib notebook # - @@ -47,5 +45,3 @@ # # Export this list of NeXus with proton charge above threshold o_event.export_good_nexus() - - diff --git a/notebooks/converted_notebooks/venus_monitor_hdf5.py b/notebooks/converted_notebooks/venus_monitor_hdf5.py index 1981e82f..335466f7 100755 --- a/notebooks/converted_notebooks/venus_monitor_hdf5.py +++ b/notebooks/converted_notebooks/venus_monitor_hdf5.py @@ -18,20 +18,18 @@ # # + [markdown] run_control={"frozen": false, "read_only": false} -# # Select Your IPTS +# # Select Your IPTS # + + from __code import system from __code.venus_monitor_hdf5.main import VenusMonitorHdf5 -import h5py -import numpy as np - -system.System.select_working_dir(facility='SNS', instrument='VENUS') +system.System.select_working_dir(facility="SNS", instrument="VENUS") from __code.__all import custom_style + custom_style.style() -import matplotlib.pyplot as plt # %matplotlib notebook # - @@ -48,8 +46,6 @@ o_event.select_event_nexus() -# # Export +# # Export o_event.export_data() - - diff --git a/notebooks/converted_notebooks/water_intake_profile_calculator.py b/notebooks/converted_notebooks/water_intake_profile_calculator.py index 20a0c580..76368f28 100755 --- a/notebooks/converted_notebooks/water_intake_profile_calculator.py +++ b/notebooks/converted_notebooks/water_intake_profile_calculator.py @@ -19,18 +19,19 @@ # # + [markdown] run_control={"frozen": false, "read_only": false} -# # Select your IPTS +# # Select your IPTS # + run_control={"frozen": false, "read_only": false} from __code import system from __code.water_intake_profile_calculator import WaterIntakeProfileCalculator, WaterIntakeProfileSelector -system.System.select_working_dir(notebook='water_intake_profile_calculator') +system.System.select_working_dir(notebook="water_intake_profile_calculator") from __code.__all import custom_style + custom_style.style() # + [markdown] run_control={"frozen": false, "read_only": false} -# # Python Import +# # Python Import # + run_control={"frozen": false, "read_only": false} # %gui qt @@ -43,11 +44,10 @@ o_water.select_data() # + [markdown] run_control={"frozen": false, "read_only": false} -# # Select Profile Region +# # Select Profile Region # + run_control={"frozen": false, "read_only": false} o_gui = WaterIntakeProfileSelector(dict_data=o_water.dict_files) o_gui.show() # + run_control={"frozen": false, "read_only": false} - diff --git a/notebooks/converted_notebooks/wave_front_dynamics.py b/notebooks/converted_notebooks/wave_front_dynamics.py index 31d82149..de2fe0ec 100755 --- a/notebooks/converted_notebooks/wave_front_dynamics.py +++ b/notebooks/converted_notebooks/wave_front_dynamics.py @@ -25,10 +25,12 @@ # import warnings # warnings.filterwarnings('ignore') -from __code.wave_front_dynamics.wave_front_dynamics import WaveFrontDynamics, WaveFrontDynamicsUI from __code import system -system.System.select_working_dir(notebook='wave_front_dynamics') +from __code.wave_front_dynamics.wave_front_dynamics import WaveFrontDynamics, WaveFrontDynamicsUI + +system.System.select_working_dir(notebook="wave_front_dynamics") from __code.__all import custom_style + custom_style.style() # - @@ -55,9 +57,6 @@ # # Launch User Interface # + run_control={"frozen": false, "read_only": false} -o_ui = WaveFrontDynamicsUI(working_dir=system.System.get_working_dir(), - wave_front_dynamics=o_wave) +o_ui = WaveFrontDynamicsUI(working_dir=system.System.get_working_dir(), wave_front_dynamics=o_wave) o_ui.show() # - - - diff --git a/notebooks/converted_notebooks/z_testing_import_notebook.py b/notebooks/converted_notebooks/z_testing_import_notebook.py index d39b7a19..6dba3bab 100755 --- a/notebooks/converted_notebooks/z_testing_import_notebook.py +++ b/notebooks/converted_notebooks/z_testing_import_notebook.py @@ -14,298 +14,163 @@ # # Testing all imports # -# Last release: 12/16/22 +# Last release: 12/16/22 from __code import system + system.System.select_working_dir() from __code.__all import custom_style + custom_style.style() # * [bin images](bin_images.ipynb) -from __code.bin_images import BinHandler - -# * [bragg edge normalization](bragg_edge_normalization.ipynb) -from __code.bragg_edge.bragg_edge_normalization import BraggEdge +# * [bragg edge normalization](bragg_edge_normalization.ipynb) # * [bragg edge normalized sample and powder](bragg_edge_normalized_sample_and_powder.ipynb) -from __code.bragg_edge.bragg_edge import BraggEdge, Interface - # * [bragg edge raw sample and powder](bragg_edge_raw_sample_and_powder.ipynb) - -from __code.bragg_edge.bragg_edge_raw_sample_and_powder import BraggEdge -from __code.bragg_edge.bragg_edge import Interface - # * [bragg edge profile](bragg_edge_profile.ipynb) - -from __code.bragg_edge.bragg_edge_normalization import BraggEdge -from __code.bragg_edge.bragg_edge import Interface - # * [list element bragg edges](list_element_bragg_edges.ipynb) - -from __code.bragg_edge.bragg_edge import BraggEdge, Interface - # * [calibrated transmission](calibrated_transmission.ipynb) - # + from __code.ui_builder import UiBuilder -o_builder = UiBuilder(ui_name = 'ui_calibrated_transmission.ui') -from __code.ipywe.myfileselector import FileSelection -from __code.calibrated_transmission import CalibratedTransmissionUi +o_builder = UiBuilder(ui_name="ui_calibrated_transmission.ui") + # - # * [circular profile of a ring](circular_profile_of_a_ring.ipynb) -from __code.circular_profile_of_a_ring.interface_handler import InterfaceHandler -from __code.circular_profile_of_a_ring.circular_profile_of_a_ring import CircularProfileOfARing # * [combine all images selected](combine_all_images_selected.ipynb) - -from __code.combine_images import CombineImages - # * [combine folders](combine_folders.ipynb) - -from __code.combine_folders import CombineFolders - # * [combine images n by n](combine_images_n_by_n.ipynb) - -from __code.combine_images_n_by_n.combine_images_n_by_n import CombineImagesNByN as CombineImages - # * [combine images without outliers](combine_images_without_outliers.ipynb) -from __code.combine_images_without_outliers.combine_images import Interface - # * [create list of file name vs time stamp](create_list_of_file_name_vs_time_stamp.ipynb) - -from __code.create_list_of_file_name_vs_time_stamp import CreateListFileName - # * [cylindrical geometry correction](cylindrical_geometry_correction.ipynb) - from __code.ui_builder import UiBuilder -o_builder = UiBuilder(ui_name = 'ui_profile.ui') -from __code.ipywe.myfileselector import FileSelection -from __code.profile import ProfileUi + +o_builder = UiBuilder(ui_name="ui_profile.ui") # * [deal images](deal_images.ipynb) -from __code.deal import Deal # * [display and export images with metadata profile](display_and_export_images_with_metadata_profile.ipynb) -from __code.display_and_export_images_with_metadata_profile import DisplayExportScreenshots # * [display and export images with timestamp](display_and_export_images_with_timestamp.ipynb) -from __code.display_and_export_images_with_time_stamp import DisplayExportScreenshots # * [display counts of region vs stack](display_counts_of_region_vs_stack.ipynb) # + from __code.ui_builder import UiBuilder -o_builder = UiBuilder(ui_name = 'ui_display_counts_of_region_vs_stack.ui') -from __code.display_counts_of_region_vs_stack import ImageWindow, DisplayCountsVsStack +o_builder = UiBuilder(ui_name="ui_display_counts_of_region_vs_stack.ui") + # - # * [display file names vs time stamp](display_file_names_vs_time_stamp.ipynb) -from __code.display_file_names_vs_time_stamp import DisplayFileNamesVsTimeStamp # * [display integrated stack of images](display_integrated_stack_of_images.ipynb) -from __code.display_integrated_stack_of_images import DisplayIntegratedStackOfImages # * [dual energy](dual_energy.ipynb) -from __code.dual_energy.dual_energy import Interface, DualEnergy # * [extract evenly spaced files](extract_evenly_spaced_files.ipynb) -from __code.extract_evenly_spaced_files.main import ExtractEvenlySpacedFiles as EESF -from __code.extract_evenly_spaced_files.interface_handler import Interface - # * [extract NeXus daslogs](extract_nexus_daslogs.ipynb) - -from __code.extract_nexus_daslogs import extract - # * [fix images](fix_images.ipynb) - -from __code.fix_images import FixImages - # * [fix images with negative pixels](fix_images_with_negative_pixels.ipynb) - -from __code.fix_images_with_negative_pixels import FixImages - # * [from attenuation to concentration](from_attenuation_to_concentration.ipynb) - from __code.from_attenuation_to_concentration import * # * [from dsc_time info to ascii file vs time](from_dsc_time_info_to_ascii_file_vs_time.ipynb) - -from __code.from_dsc_time_info_to_ascii_file_vs_time import CreateExportTimeStamp - # * [group images by cycle for panoramic stitching](group_images_by_cycle_for_panoramic_stitching.ipynb) - -from __code.group_images_by_cycle_for_panoramic_stitching.group_images import GroupImages - # * [group_images_by_cycle_for_grating_experiment](group_images_by_cycle_for_grating_experiment.ipynb) - -from __code.group_images_by_cycle_for_grating_experiment.group_images import GroupImages - # * [HFIR reactor element analysis](hfir_reactor_element_analysis.ipynb) -from __code.hfir_reactor_element_analysis.hfir_reactor_element_analysis import HfirReactorElementAnalysis -from __code.hfir_reactor_element_analysis.interface_handler import InterfaceHandler - # * [images and metadata extrapolation matcher](images_and_metadata_extrapolation_matcher.ipynb) -from __code.select_files_and_folders import SelectAsciiFile, SelectFolder -from __code.images_and_metadata_extrapolation_matcher import ImagesAndMetadataExtrapolationMatcher - # * [integrated roi counts vs file name and time stamp](integrated_roi_counts_vs_file_name_and_time_stamp.ipynb) -o_builder = UiBuilder(ui_name = 'ui_integrated_roi_counts_vs_file_name_and_time_stamp.ui') -from __code.ipywe.myfileselector import FileSelection -from __code.integrated_roi_counts_vs_file_name_and_time_stamp import IntegratedRoiUi +o_builder = UiBuilder(ui_name="ui_integrated_roi_counts_vs_file_name_and_time_stamp.ui") # * [list element bragg edges](list_element_bragg_edges.ipynb) -from __code.bragg_edge.bragg_edge import BraggEdge, Interface +# * [panoramic stitching for tof](panoramic_stitching_for_tof.ipynb) +# * [bragg edge profile](bragg_edge_profile.ipynb) # * [list metadata and time with oncat](list_metadata_and_time_with_oncat.ipynb) - -from __code.select_files_and_folders import SelectFiles, SelectFolder -from __code.list_metadata_and_time_with_oncat import ListMetadata - # * [list tiff metadata](list_tiff_metadata.ipynb) - -from __code.select_metadata_to_display import DisplayMetadata - # * [math images](math_images.ipynb) - -from __code.math_images import MathImages - # * [mcp chips corrector](mcp_chips_corrector.ipynb) -from __code.mcp_chips_corrector.mcp_chips_corrector import McpChipsCorrector -from __code.mcp_chips_corrector.interface import Interface - # * [metadata ascii parser](metadata_ascii_parser.ipynb) - from __code.metadata_ascii_parser import * # * [metadata overlapping images](metadata_overlapping_images.ipynb) - -from __code.ipywe.myfileselector import FileSelection -from __code.metadata_overlapping_images.metadata_overlapping_images import MetadataOverlappingImagesUi - # * [normalization](normalization.ipynb) - from __code.normalization.normalization import * -from __code.roi_selection_ui import Interface # * [normalization with simplify selection](normalization_with_simplify_selection.ipynb) - -from __code.normalization.normalization_with_simplify_selection import NormalizationWithSimplifySelection - # * [outliers filtering](outliers_filtering_tool.ipynb) -from __code.outliers_filtering.main import Interface, InterfaceHandler - # * [overlay images](overlay_images.ipynb) - -from __code.overlay_images.interface_handler import InterfaceHandler -from __code.overlay_images.overlay_images import OverlayImages - # * [panoramic stitching](panoramic_stitching.ipynb) -from __code.panoramic_stitching.panoramic_stitching import PanoramicStitching - -# * [panoramic stitching for tof](panoramic_stitching_for_tof.ipynb) - -from __code.panoramic_stitching_for_tof.panoramic_stitching_for_tof import PanoramicStitching - -# * [bragg edge profile](bragg_edge_profile.ipynb) - -from __code.bragg_edge.bragg_edge_normalization import BraggEdge -from __code.bragg_edge.bragg_edge import Interface - # * [profile](profile.ipynb) -o_builder = UiBuilder(ui_name = 'ui_profile.ui') -from __code.ipywe.myfileselector import FileSelection -from __code.profile import ProfileUi +o_builder = UiBuilder(ui_name="ui_profile.ui") # * [radial profile](radial_profile.ipynb) -from __code.ipywe.myfileselector import FileSelection -from __code.radial_profile.radial_profile import RadialProfile, SelectRadialParameters # * [water intake profile_calculator](water_intake_profile_calculator.ipynb) -o_builder = UiBuilder(ui_name = 'ui_water_intake_profile.ui') -from __code.roi_selection_ui import Interface -from __code.water_intake_profile_calculator import WaterIntakeProfileCalculator, WaterIntakeProfileSelector +o_builder = UiBuilder(ui_name="ui_water_intake_profile.ui") # * [radial profile](radial_profile.ipynb) -from __code.radial_profile.radial_profile import RadialProfile, SelectRadialParameters # * [registration](registration.ipynb) -from __code.registration.registration import RegistrationUi # * [rename files](rename_files.ipynb) -from __code.rename_files.rename_files import NamingSchemaDefinition, FormatFileNameIndex # * [resonance imaging experiment vs theory](resonance_imaging_experiment_vs_theory.ipynb) # + -o_builder = UiBuilder(ui_name = 'ui_resonance_imaging_experiment_vs_theory.ui') -o_builder = UiBuilder(ui_name = 'ui_resonance_imaging_layers_input.ui') - -from __code import file_handler, utilities -from __code.display_counts_of_region_vs_stack_vs_theory import ImageWindow -from __code.display_imaging_resonance_sample_definition import SampleWindow -from NeuNorm.normalization import Normalization -from __code.ipywe import fileselector +o_builder = UiBuilder(ui_name="ui_resonance_imaging_experiment_vs_theory.ui") +o_builder = UiBuilder(ui_name="ui_resonance_imaging_layers_input.ui") + # - # * [roi statistics for a stack of images](roi_statistics_vs_stack.ipynb) -from __code.roi_statistics_vs_stack.main import ImageWindow, FileHandler # * [rotate and crop images](rotate_and_crop_images.ipynb) -o_builder = UiBuilder(ui_name = 'ui_rotate_and_crop.ui') -from __code.load_images import LoadImages -from __code.rotate_and_crop_images import RotateAndCropImages, Export +o_builder = UiBuilder(ui_name="ui_rotate_and_crop.ui") # * [scale overlapping images](scale_overlapping_images.ipynb) -o_builder = UiBuilder(ui_name = 'ui_scale_overlapping_images.ui') -from __code.ipywe.myfileselector import FileSelection +o_builder = UiBuilder(ui_name="ui_scale_overlapping_images.ui") # * [sequential combine images using metadata](sequential_combine_images_using_metadata.ipynb) -from __code.sequential_combine_images_using_metadata import SequentialCombineImagesUsingMetadata # * [shifting time offset](shifting_time_offset.ipynb) -from __code.select_files_and_folders import SelectFiles, SelectFolder -from __code.shifting_time_offset import ShiftTimeOffset # * [water intake profile_calculator](water_intake_profile_calculator.ipynb) -o_builder = UiBuilder(ui_name = 'ui_water_intake_profile.ui') -from __code.water_intake_profile_calculator import WaterIntakeProfileCalculator, WaterIntakeProfileSelector +o_builder = UiBuilder(ui_name="ui_water_intake_profile.ui") # * [wave front dynamics](wave_front_dynamics.ipynb) - -from __code.wave_front_dynamics.wave_front_dynamics import WaveFrontDynamics, WaveFrontDynamicsUI - - diff --git a/notebooks/tests/_utilities/test_array.py b/notebooks/tests/_utilities/test_array.py index db48582e..34d630b3 100755 --- a/notebooks/tests/_utilities/test_array.py +++ b/notebooks/tests/_utilities/test_array.py @@ -1,4 +1,3 @@ -import pytest import numpy as np from notebooks.__code._utilities import array @@ -8,7 +7,7 @@ def test_reject_outliers(): my_array = np.array([1, 2, 3, 4, 5, 6, 7, 8, 9, 10]) expected_array = np.array([2, 3, 4, 5, 6, 7, 8, 9]) returned_array = array.reject_outliers(array=my_array) - for _exp, _ret in zip(expected_array, returned_array): + for _exp, _ret in zip(expected_array, returned_array, strict=False): assert _exp == _ret @@ -20,7 +19,7 @@ def test_reject_n_outliers(): returned_array.sort() assert len(returned_array) == len(expected_array) - for _exp, _ret in zip(expected_array, returned_array): + for _exp, _ret in zip(expected_array, returned_array, strict=False): assert _exp == _ret @@ -28,30 +27,25 @@ def test_closest_index(): my_array = [1, 2, 3, 4, 5, 6, 7] value = 1.4 expected_index = 0 - returned_index = array.get_closest_index(array=my_array, - value=value) + returned_index = array.get_closest_index(array=my_array, value=value) assert expected_index == returned_index value = 1.5 expected_index = 0 - returned_index = array.get_closest_index(array=my_array, - value=value) + returned_index = array.get_closest_index(array=my_array, value=value) assert expected_index == returned_index value = 1.6 expected_index = 1 - returned_index = array.get_closest_index(array=my_array, - value=value) + returned_index = array.get_closest_index(array=my_array, value=value) assert expected_index == returned_index value = 8 expected_index = 6 - returned_index = array.get_closest_index(array=my_array, - value=value) + returned_index = array.get_closest_index(array=my_array, value=value) assert expected_index == returned_index value = -10 expected_index = 0 - returned_index = array.get_closest_index(array=my_array, - value=value) + returned_index = array.get_closest_index(array=my_array, value=value) assert expected_index == returned_index diff --git a/notebooks/tests/_utilities/test_file.py b/notebooks/tests/_utilities/test_file.py index 444595ec..7bcb0c03 100755 --- a/notebooks/tests/_utilities/test_file.py +++ b/notebooks/tests/_utilities/test_file.py @@ -1,23 +1,23 @@ -import pytest from pathlib import Path from notebooks.__code._utilities import file class TestFolders: - def setup_method(self): data_path = Path(__file__).parent.parent - self.ascii_file_name = str(Path(data_path) / 'data' / 'ascii' / 'bragg_edge_fitting_all_regions.txt') + self.ascii_file_name = str(Path(data_path) / "data" / "ascii" / "bragg_edge_fitting_all_regions.txt") def test_retrieving_metadata(self): metadata_value_1 = "#base folder" - value_returned_1 = file.retrieve_metadata_value_from_ascii_file(filename=self.ascii_file_name, - metadata_name=metadata_value_1) + value_returned_1 = file.retrieve_metadata_value_from_ascii_file( + filename=self.ascii_file_name, metadata_name=metadata_value_1 + ) value_expected = "/Users/j35/IPTS/VENUS/IPTS-25778_normalized" assert value_expected == value_returned_1 metadata_value_2 = "base folder" - value_returned_2 = file.retrieve_metadata_value_from_ascii_file(filename=self.ascii_file_name, - metadata_name=metadata_value_2) + value_returned_2 = file.retrieve_metadata_value_from_ascii_file( + filename=self.ascii_file_name, metadata_name=metadata_value_2 + ) assert value_expected == value_returned_2 diff --git a/notebooks/tests/_utilities/test_folder.py b/notebooks/tests/_utilities/test_folder.py index 36607733..bd6cf005 100755 --- a/notebooks/tests/_utilities/test_folder.py +++ b/notebooks/tests/_utilities/test_folder.py @@ -1,15 +1,17 @@ -import pytest from pathlib import Path +import pytest + from notebooks.__code._utilities import folder class TestFolders: - def setup_method(self): data_path = Path(__file__).parent.parent - self.list_folders = [str(Path(data_path) / 'data' / 'images' / 'tiff'), - str(Path(data_path) / 'data' / 'images' / 'data_with_acquisition_cycle')] + self.list_folders = [ + str(Path(data_path) / "data" / "images" / "tiff"), + str(Path(data_path) / "data" / "images" / "data_with_acquisition_cycle"), + ] def test_list_of_folders_to_check_is_list(self): list_of_folders_to_check = "file_name" @@ -20,17 +22,20 @@ def test_file_extension_is_list(self): list_of_folders_to_check = ["folder1", "folder2"] file_extension = "file extension" with pytest.raises(ValueError): - folder.get_list_of_folders_with_specified_file_type(list_of_folders_to_check=list_of_folders_to_check, - file_extension=file_extension) + folder.get_list_of_folders_with_specified_file_type( + list_of_folders_to_check=list_of_folders_to_check, file_extension=file_extension + ) def test_folder_rejected_when_do_not_exist(self): - list_of_folders_to_check = ['folder1', 'folder2'] + list_of_folders_to_check = ["folder1", "folder2"] list_of_folders_checked = folder.get_list_of_folders_with_specified_file_type( - list_of_folders_to_check=list_of_folders_to_check) + list_of_folders_to_check=list_of_folders_to_check + ) assert len(list_of_folders_checked) == 0 def test_correct_list_of_folders_found(self): list_of_folders_to_check = self.list_folders list_of_folders_checked = folder.get_list_of_folders_with_specified_file_type( - list_of_folders_to_check=list_of_folders_to_check) + list_of_folders_to_check=list_of_folders_to_check + ) assert list_of_folders_checked == list_of_folders_to_check diff --git a/notebooks/tests/_utilities/test_math.py b/notebooks/tests/_utilities/test_math.py index c8c4921e..118a5b68 100755 --- a/notebooks/tests/_utilities/test_math.py +++ b/notebooks/tests/_utilities/test_math.py @@ -4,19 +4,21 @@ class TestMath: - def test_get_distance_needs_right_arguments(self): with pytest.raises(ValueError): math.get_distance_between_two_points() - @pytest.mark.parametrize('from_pixel, to_pixel, distance_expected', - [({'x': 0, 'y': 0}, {'x': 6, 'y': 0}, 6), - ({'x': 6, 'y': 0}, {'x': 0, 'y': 0}, 6), - ({'x': 0, 'y': 0}, {'x': 0, 'y': 6}, 6), - ({'x': 6, 'y': 6}, {'x': 0, 'y': 0}, 8.485)]) + @pytest.mark.parametrize( + "from_pixel, to_pixel, distance_expected", + [ + ({"x": 0, "y": 0}, {"x": 6, "y": 0}, 6), + ({"x": 6, "y": 0}, {"x": 0, "y": 0}, 6), + ({"x": 0, "y": 0}, {"x": 0, "y": 6}, 6), + ({"x": 6, "y": 6}, {"x": 0, "y": 0}, 8.485), + ], + ) def test_get_distance(self, from_pixel, to_pixel, distance_expected): - distance_calculated = math.get_distance_between_two_points(from_x=from_pixel['x'], - from_y=from_pixel['y'], - to_x=to_pixel['x'], - to_y=to_pixel['y']) + distance_calculated = math.get_distance_between_two_points( + from_x=from_pixel["x"], from_y=from_pixel["y"], to_x=to_pixel["x"], to_y=to_pixel["y"] + ) assert distance_calculated == pytest.approx(distance_expected, 1e-2) diff --git a/notebooks/tests/_utilities/test_string.py b/notebooks/tests/_utilities/test_string.py index 9391649b..d64df92d 100755 --- a/notebooks/tests/_utilities/test_string.py +++ b/notebooks/tests/_utilities/test_string.py @@ -4,34 +4,40 @@ class TestGetBeginningCommonPartOfStringFromList: - def test_no_argument_raises_error(self): with pytest.raises(ValueError): common_part_returned = string.get_beginning_common_part_of_string_from_list() def test_get_beginning_common_part_of_string_from_list(self): - list_of_string = ['/Users/j35/IPTS/IPTS-24959/renamed_files/20202020_Femur_0010_000_000_00000.tiff', - '/Users/j35/IPTS/IPTS-24959/renamed_files/20202020_Femur_0010_000_000_00001.tiff', - '/Users/j35/IPTS/IPTS-24959/renamed_files/20202020_Femur_0010_000_000_00002.tiff', - '/Users/j35/IPTS/IPTS-24959/renamed_files/20202020_Femur_0010_000_000_00003.tiff'] - common_part_returned = string.get_beginning_common_part_of_string_from_list(list_of_text=list_of_string, - filename_spacer='_') - common_part_expected = '/Users/j35/IPTS/IPTS-24959/renamed_files/20202020_Femur_0010_000_000' + list_of_string = [ + "/Users/j35/IPTS/IPTS-24959/renamed_files/20202020_Femur_0010_000_000_00000.tiff", + "/Users/j35/IPTS/IPTS-24959/renamed_files/20202020_Femur_0010_000_000_00001.tiff", + "/Users/j35/IPTS/IPTS-24959/renamed_files/20202020_Femur_0010_000_000_00002.tiff", + "/Users/j35/IPTS/IPTS-24959/renamed_files/20202020_Femur_0010_000_000_00003.tiff", + ] + common_part_returned = string.get_beginning_common_part_of_string_from_list( + list_of_text=list_of_string, filename_spacer="_" + ) + common_part_expected = "/Users/j35/IPTS/IPTS-24959/renamed_files/20202020_Femur_0010_000_000" assert common_part_expected == common_part_returned def test_no_match(self): - list_of_string = ['abc.txt', 'bce.txt', 'def.txt'] - common_part_returned = string.get_beginning_common_part_of_string_from_list(list_of_text=list_of_string, - filename_spacer='_') + list_of_string = ["abc.txt", "bce.txt", "def.txt"] + common_part_returned = string.get_beginning_common_part_of_string_from_list( + list_of_text=list_of_string, filename_spacer="_" + ) common_part_expected = "" assert common_part_expected == common_part_returned def test_get_beginning_common_part_of_string_from_list_case2(self): - list_of_string = ['/Users/j35/IPTS/IPTS-24959/renamed_files/20202020_Femur_0010_000_000_00000.tiff', - '/Users/j35/IPTS/IPTS-24959/renamed_files/20202020_Femur_0010_000_000_00001.tiff', - '/Users/j35/IPTS/IPTS-24959/renamed_files/20202020_Femur_0010_000_000_00002.tiff', - '/Users/j35/IPTS/IPTS-24959/renamed_files/20202020_Femur_0010_000_110_00003.tiff'] - common_part_returned = string.get_beginning_common_part_of_string_from_list(list_of_text=list_of_string, - filename_spacer='_') - common_part_expected = '/Users/j35/IPTS/IPTS-24959/renamed_files/20202020_Femur_0010_000' + list_of_string = [ + "/Users/j35/IPTS/IPTS-24959/renamed_files/20202020_Femur_0010_000_000_00000.tiff", + "/Users/j35/IPTS/IPTS-24959/renamed_files/20202020_Femur_0010_000_000_00001.tiff", + "/Users/j35/IPTS/IPTS-24959/renamed_files/20202020_Femur_0010_000_000_00002.tiff", + "/Users/j35/IPTS/IPTS-24959/renamed_files/20202020_Femur_0010_000_110_00003.tiff", + ] + common_part_returned = string.get_beginning_common_part_of_string_from_list( + list_of_text=list_of_string, filename_spacer="_" + ) + common_part_expected = "/Users/j35/IPTS/IPTS-24959/renamed_files/20202020_Femur_0010_000" assert common_part_expected == common_part_returned diff --git a/notebooks/tests/_utilities/test_time.py b/notebooks/tests/_utilities/test_time.py index 74a580c1..f7f8bc27 100755 --- a/notebooks/tests/_utilities/test_time.py +++ b/notebooks/tests/_utilities/test_time.py @@ -4,150 +4,152 @@ class TestAbsoluteTimeHandler: + def setup_method(self): + self.starting_time = b"2020-01-10T23:55:33.303238667-05:00" - def setup_method(self): - self.starting_time = b'2020-01-10T23:55:33.303238667-05:00' + def test_initial_absolute_format_recognized(self): + with pytest.raises(ValueError): + time.AbsoluteTimeHandler() - def test_initial_absolute_format_recognized(self): - with pytest.raises(ValueError): - time.AbsoluteTimeHandler() + def test_wrong_initial_absolute_format_raises_error(self): + wrong_starting_time = "2020-01-10Twrong_format" + with pytest.raises(ValueError): + time.AbsoluteTimeHandler(initial_absolute_time=wrong_starting_time) - def test_wrong_initial_absolute_format_raises_error(self): - wrong_starting_time = '2020-01-10Twrong_format' - with pytest.raises(ValueError): - time.AbsoluteTimeHandler(initial_absolute_time=wrong_starting_time) + def test_initial_time_correctly_parsed(self): + o_time = time.AbsoluteTimeHandler(initial_absolute_time=self.starting_time) + formatted_initial_absolute_time = o_time.formatted_initial_absolute_time - def test_initial_time_correctly_parsed(self): - o_time = time.AbsoluteTimeHandler(initial_absolute_time=self.starting_time) - formatted_initial_absolute_time = o_time.formatted_initial_absolute_time + year_calculated = formatted_initial_absolute_time.year + assert year_calculated == 2020 - year_calculated = formatted_initial_absolute_time.year - assert year_calculated == 2020 + month_calculated = formatted_initial_absolute_time.month + assert month_calculated == 1 - month_calculated = formatted_initial_absolute_time.month - assert month_calculated == 1 + day_calculated = formatted_initial_absolute_time.day + assert day_calculated == 10 - day_calculated = formatted_initial_absolute_time.day - assert day_calculated == 10 + hour_calculated = formatted_initial_absolute_time.hour + assert hour_calculated == 23 - hour_calculated = formatted_initial_absolute_time.hour - assert hour_calculated == 23 + minute_calculated = formatted_initial_absolute_time.minute + assert minute_calculated == 55 - minute_calculated = formatted_initial_absolute_time.minute - assert minute_calculated == 55 + second_calculated = formatted_initial_absolute_time.second + assert second_calculated == 33 - second_calculated = formatted_initial_absolute_time.second - assert second_calculated == 33 + microsecond_calculated = formatted_initial_absolute_time.microsecond + assert microsecond_calculated == 303238 - microsecond_calculated = formatted_initial_absolute_time.microsecond - assert microsecond_calculated == 303238 + def test_empty_delta_time_array_raises_error(self): + o_time = time.AbsoluteTimeHandler(initial_absolute_time=self.starting_time) - def test_empty_delta_time_array_raises_error(self): - o_time = time.AbsoluteTimeHandler(initial_absolute_time=self.starting_time) + with pytest.raises(ValueError): + o_time.get_absolute_time_for_this_delta_time_array() - with pytest.raises(ValueError): - o_time.get_absolute_time_for_this_delta_time_array() + def test_error_raises_if_wrong_unit_provided(self): + o_time = time.AbsoluteTimeHandler(initial_absolute_time=self.starting_time) - def test_error_raises_if_wrong_unit_provided(self): - o_time = time.AbsoluteTimeHandler(initial_absolute_time=self.starting_time) + with pytest.raises(NotImplementedError): + o_time.get_absolute_time_for_this_delta_time_array(delta_time_array=[1, 2, 3], units="lightyear") - with pytest.raises(NotImplementedError): - o_time.get_absolute_time_for_this_delta_time_array(delta_time_array=[1, 2, 3], - units="lightyear") + def test_delta_time_array_correctly_formated(self): + o_time = time.AbsoluteTimeHandler(initial_absolute_time=self.starting_time) + delta_time_array = [1, 2, 3, 4] + units = "seconds" + o_time.get_absolute_time_for_this_delta_time_array(delta_time_array=delta_time_array, units=units) + delta_time_formated = o_time.delta_time_formated - def test_delta_time_array_correctly_formated(self): - o_time = time.AbsoluteTimeHandler(initial_absolute_time=self.starting_time) - delta_time_array = [1, 2, 3, 4] - units = 'seconds' - o_time.get_absolute_time_for_this_delta_time_array(delta_time_array=delta_time_array, - units=units) - delta_time_formated = o_time.delta_time_formated + list_hours_calculated = [] + for time_formated in delta_time_formated: + list_hours_calculated.append(time_formated.hours) + assert list_hours_calculated == [0, 0, 0, 0] - list_hours_calculated = [] - for time_formated in delta_time_formated: - list_hours_calculated.append(time_formated.hours) - assert list_hours_calculated == [0, 0, 0, 0] + list_minutes_calculated = [] + for time_formated in delta_time_formated: + list_minutes_calculated.append(time_formated.minutes) + assert list_minutes_calculated == [0, 0, 0, 0] - list_minutes_calculated = [] - for time_formated in delta_time_formated: - list_minutes_calculated.append(time_formated.minutes) - assert list_minutes_calculated == [0, 0, 0, 0] + list_seconds_calculated = [] + for time_formated in delta_time_formated: + list_seconds_calculated.append(time_formated.seconds) + assert list_seconds_calculated == [1, 2, 3, 4] - list_seconds_calculated = [] - for time_formated in delta_time_formated: - list_seconds_calculated.append(time_formated.seconds) - assert list_seconds_calculated == [1, 2, 3, 4] + def test_absolute_time_array_correctly_calculated(self): + o_time = time.AbsoluteTimeHandler(initial_absolute_time=self.starting_time) + delta_time_array = [1, 2, 3, 4] + units = "seconds" + absolute_time_array = o_time.get_absolute_time_for_this_delta_time_array( + delta_time_array=delta_time_array, units=units + ) - def test_absolute_time_array_correctly_calculated(self): - o_time = time.AbsoluteTimeHandler(initial_absolute_time=self.starting_time) - delta_time_array = [1, 2, 3, 4] - units = 'seconds' - absolute_time_array = o_time.get_absolute_time_for_this_delta_time_array(delta_time_array=delta_time_array, - units=units) + expected_seconds_array = [34, 35, 36, 37] + for index, d in enumerate(absolute_time_array): + assert d.second == expected_seconds_array[index] - expected_seconds_array = [34, 35, 36, 37] - for index, d in enumerate(absolute_time_array): - assert d.second == expected_seconds_array[index] class TestRelativeTimeHandler: - - def setup_method(self): - self.first_file_starting_time = b'2020-01-10T10:15:33.303238667-05:00' - self.second_file_staring_time = b'2020-01-10T10:20:33.303238667-05:00' # 5mn later - - def test_minimum_arguments_provided(self): - with pytest.raises(ValueError): - time.RelativeTimeHandler() - - def test_arguments_have_right_format(self): - wrong_master_format_time = '2020-01-10Twrong_format' - wrong_local_format_time = '2020-01-10Tbad_format_as_well' - with pytest.raises(ValueError): - time.RelativeTimeHandler(master_initial_time=wrong_master_format_time, - local_initial_time=wrong_local_format_time) - - def test_make_sure_local_is_after_master(self): - with pytest.raises(ValueError): - time.RelativeTimeHandler(master_initial_time=self.second_file_staring_time, - local_initial_time=self.first_file_starting_time) - - def test_time_offset_calculated_is_right(self): - o_time = time.RelativeTimeHandler(master_initial_time=self.first_file_starting_time, - local_initial_time=self.second_file_staring_time) - time_offset_calculated = o_time.time_offset_calculated_s - assert 300 == time_offset_calculated - - def test_minimum_arguments_to_get_relative_time_method(self): - o_time = time.RelativeTimeHandler(master_initial_time=self.first_file_starting_time, - local_initial_time=self.second_file_staring_time) - with pytest.raises(ValueError): - o_time.get_relative_time_for_this_time_array() - - def test_relative_time_array_correctly_calculated(self): - o_time = time.RelativeTimeHandler(master_initial_time=self.first_file_starting_time, - local_initial_time=self.second_file_staring_time) - time_array = [0, 10, 20, 30, 40] - relative_time_calculated = o_time.get_relative_time_for_this_time_array(time_array=time_array) - relative_time_expected = [300, 310, 320, 330, 340] - assert relative_time_calculated == relative_time_expected + def setup_method(self): + self.first_file_starting_time = b"2020-01-10T10:15:33.303238667-05:00" + self.second_file_staring_time = b"2020-01-10T10:20:33.303238667-05:00" # 5mn later + + def test_minimum_arguments_provided(self): + with pytest.raises(ValueError): + time.RelativeTimeHandler() + + def test_arguments_have_right_format(self): + wrong_master_format_time = "2020-01-10Twrong_format" + wrong_local_format_time = "2020-01-10Tbad_format_as_well" + with pytest.raises(ValueError): + time.RelativeTimeHandler( + master_initial_time=wrong_master_format_time, local_initial_time=wrong_local_format_time + ) + + def test_make_sure_local_is_after_master(self): + with pytest.raises(ValueError): + time.RelativeTimeHandler( + master_initial_time=self.second_file_staring_time, local_initial_time=self.first_file_starting_time + ) + + def test_time_offset_calculated_is_right(self): + o_time = time.RelativeTimeHandler( + master_initial_time=self.first_file_starting_time, local_initial_time=self.second_file_staring_time + ) + time_offset_calculated = o_time.time_offset_calculated_s + assert 300 == time_offset_calculated + + def test_minimum_arguments_to_get_relative_time_method(self): + o_time = time.RelativeTimeHandler( + master_initial_time=self.first_file_starting_time, local_initial_time=self.second_file_staring_time + ) + with pytest.raises(ValueError): + o_time.get_relative_time_for_this_time_array() + + def test_relative_time_array_correctly_calculated(self): + o_time = time.RelativeTimeHandler( + master_initial_time=self.first_file_starting_time, local_initial_time=self.second_file_staring_time + ) + time_array = [0, 10, 20, 30, 40] + relative_time_calculated = o_time.get_relative_time_for_this_time_array(time_array=time_array) + relative_time_expected = [300, 310, 320, 330, 340] + assert relative_time_calculated == relative_time_expected def test_convert_time_s_in_hr_mn_s(): + time_s = 60 + assert time.convert_time_s_in_time_hr_mn_s(time_s) == "00hr:01mn:00s" - time_s = 60 - assert time.convert_time_s_in_time_hr_mn_s(time_s) == '00hr:01mn:00s' - - time_s = 63 - assert time.convert_time_s_in_time_hr_mn_s(time_s) == '00hr:01mn:03s' + time_s = 63 + assert time.convert_time_s_in_time_hr_mn_s(time_s) == "00hr:01mn:03s" - time_s = 120 - assert time.convert_time_s_in_time_hr_mn_s(time_s) == '00hr:02mn:00s' + time_s = 120 + assert time.convert_time_s_in_time_hr_mn_s(time_s) == "00hr:02mn:00s" - time_s = 3599 - assert time.convert_time_s_in_time_hr_mn_s(time_s) == '00hr:59mn:59s' + time_s = 3599 + assert time.convert_time_s_in_time_hr_mn_s(time_s) == "00hr:59mn:59s" - time_s = 3600 - assert time.convert_time_s_in_time_hr_mn_s(time_s) == '01hr:00mn:00s' + time_s = 3600 + assert time.convert_time_s_in_time_hr_mn_s(time_s) == "01hr:00mn:00s" - time_s = 15643 - assert time.convert_time_s_in_time_hr_mn_s(time_s) == '04hr:20mn:43s' + time_s = 15643 + assert time.convert_time_s_in_time_hr_mn_s(time_s) == "04hr:20mn:43s" diff --git a/notebooks/tests/data/bragg_edge/march_dollase_data.json b/notebooks/tests/data/bragg_edge/march_dollase_data.json index 4d4f6ae8..36bd6b13 100755 --- a/notebooks/tests/data/bragg_edge/march_dollase_data.json +++ b/notebooks/tests/data/bragg_edge/march_dollase_data.json @@ -1 +1 @@ -{"xaxis": [0.043383938266643066, 0.043415099642231614, 0.04344626101782014, 0.043477422393408675, 0.04350858376899722, 0.043539745144585744, 0.04357090652017428, 0.04360206789576281, 0.043633229271351354, 0.04366439064693988, 0.04369555202252842, 0.04372671339811695, 0.043757874773705484, 0.04378903614929402, 0.04382019752488255, 0.04385135890047108, 0.04388252027605962, 0.04391368165164815, 0.04394484302723669, 0.043976004402825224, 0.04400716577841376, 0.044038327154002285, 0.044069488529590826, 0.04410064990517936, 0.04413181128076789, 0.044162972656356436, 0.044194134031944964, 0.0442252954075335, 0.04425645678312203, 0.044287618158710566, 0.044318779534299094, 0.044349940909887635, 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0.6998075246810913, 0.6966657638549805, 0.6988399624824524, 0.6965091824531555, 0.6986274719238281, 0.696310818195343, 0.6954029202461243, 0.6963390111923218, 0.6971999406814575, 0.6974422335624695, 0.6992548704147339, 0.695350170135498, 0.6983161568641663, 0.6958238482475281, 0.6991723775863647, 0.6966080665588379, 0.6969629526138306], "parameters": {"0": {"value": {"d_spacing": 0.010826386982794542, "sigma": 3.5, "alpha": 4.5, "a1": 0.7029876112937927, "a2": 0.0004405975341796875}, "state": {"d_spacing": false, "sigma": false, "alpha": false, "a1": true, "a2": false}}, "1": {"value": {"d_spacing": 0.010826386982794542, "sigma": 3.5, "alpha": 4.5, "a1": 0.7024473908021651, "a2": 0.0004405975341796875}, "state": {"d_spacing": false, "sigma": false, "alpha": false, "a1": false, "a2": true}}, "2": {"value": {"d_spacing": 0.010826386982794542, "sigma": 3.5, "alpha": 4.5, "a1": 0.7024473908021651, "a2": 0.0004408246058087807}, "state": {"d_spacing": true, "sigma": true, "alpha": true, "a1": false, "a2": false}}, "3": {"value": {"d_spacing": -5.599940967117129, "sigma": 1.6354350399338515, "alpha": 0.052049254940399574, "a1": 0.7024473908021651, "a2": 0.0004408246058087807}, "state": {"d_spacing": false, "sigma": false, "alpha": false, "a1": true, "a2": true}}, "4": {"value": {"d_spacing": -5.599940967117129, "sigma": 1.6354350399338515, "alpha": 0.052049254940399574, "a1": 0.6990022147307596, "a2": 0.012283046206899783}, "state": {"d_spacing": true, "sigma": true, "alpha": true, "a1": false, "a2": false}}, "5": {"value": {"d_spacing": -5.599940967117129, "sigma": 1.6354350399338515, "alpha": 0.052049254940399574, "a1": 0.6990022147307596, "a2": 0.012283046206899783}, "state": {"d_spacing": true, "sigma": true, "alpha": true, "a1": true, "a2": true}}}} diff --git a/notebooks/tests/group_images_by_cycle_for_panoramic_stitching/test_group_images_by_cycle.py b/notebooks/tests/group_images_by_cycle_for_panoramic_stitching/test_group_images_by_cycle.py index f438b251..0027ff26 100755 --- a/notebooks/tests/group_images_by_cycle_for_panoramic_stitching/test_group_images_by_cycle.py +++ b/notebooks/tests/group_images_by_cycle_for_panoramic_stitching/test_group_images_by_cycle.py @@ -1,59 +1,68 @@ +import glob from pathlib import Path + from notebooks.__code.group_images_by_cycle_for_panoramic_stitching.group_images_by_cycle import GroupImagesByCycle -import glob class TestGroupImagesByCycle: - def setup_method(self): data_path = Path(__file__).parent.parent self.data_path = str(data_path) - tiff_path = Path(data_path) / 'data' / 'images' / 'tiff' - list_of_files = glob.glob(str(tiff_path) + '/*.tif') + tiff_path = Path(data_path) / "data" / "images" / "tiff" + list_of_files = glob.glob(str(tiff_path) + "/*.tif") list_of_files.sort() self.list_of_files = list_of_files - full_tiff_path = Path(data_path) / 'data' / 'images' / 'data_with_acquisition_cycle' - full_list_of_files = glob.glob(str(full_tiff_path) + '/*.tif') + full_tiff_path = Path(data_path) / "data" / "images" / "data_with_acquisition_cycle" + full_list_of_files = glob.glob(str(full_tiff_path) + "/*.tif") full_list_of_files.sort() self.full_list_of_files = full_list_of_files self.list_of_metadata_key = [65045, 65041] def test_create_master_dictionary(self): - o_group = GroupImagesByCycle(list_of_files=self.list_of_files, - list_of_metadata_key=self.list_of_metadata_key) + o_group = GroupImagesByCycle(list_of_files=self.list_of_files, list_of_metadata_key=self.list_of_metadata_key) o_group.create_master_dictionary() - dict_expected = {self.data_path + '/data/images/tiff/image001.tif': { - 'MotLongAxis': '170.000000', - 'MotLiftTable': '115.000000'}, - self.data_path + '/data/images/tiff/image002.tif': { - 'MotLongAxis': '135.000000', - 'MotLiftTable': '115.000000'}, - self.data_path + '/data/images/tiff/image003.tif': { - 'MotLongAxis': '100.000000', - 'MotLiftTable': '115.000000'}, - self.data_path + '/data/images/tiff/image004.tif': { - 'MotLongAxis': '100.000000', - 'MotLiftTable': '70.000000'}, - self.data_path + '/data/images/tiff/image005.tif': { - 'MotLongAxis': '100.000000', - 'MotLiftTable': '30.000000'}, - self.data_path + '/data/images/tiff/image006.tif': { - 'MotLongAxis': '135.000000', - 'MotLiftTable': '30.000000'}, - self.data_path + '/data/images/tiff/image007.tif': { - 'MotLongAxis': '170.000000', - 'MotLiftTable': '30.000000'}, - self.data_path + '/data/images/tiff/image008.tif': { - 'MotLongAxis': '170.000000', - 'MotLiftTable': '70.000000'}, - self.data_path + '/data/images/tiff/image009.tif': { - 'MotLongAxis': '135.000000', - 'MotLiftTable': '70.000000'}, - } + dict_expected = { + self.data_path + "/data/images/tiff/image001.tif": { + "MotLongAxis": "170.000000", + "MotLiftTable": "115.000000", + }, + self.data_path + "/data/images/tiff/image002.tif": { + "MotLongAxis": "135.000000", + "MotLiftTable": "115.000000", + }, + self.data_path + "/data/images/tiff/image003.tif": { + "MotLongAxis": "100.000000", + "MotLiftTable": "115.000000", + }, + self.data_path + "/data/images/tiff/image004.tif": { + "MotLongAxis": "100.000000", + "MotLiftTable": "70.000000", + }, + self.data_path + "/data/images/tiff/image005.tif": { + "MotLongAxis": "100.000000", + "MotLiftTable": "30.000000", + }, + self.data_path + "/data/images/tiff/image006.tif": { + "MotLongAxis": "135.000000", + "MotLiftTable": "30.000000", + }, + self.data_path + "/data/images/tiff/image007.tif": { + "MotLongAxis": "170.000000", + "MotLiftTable": "30.000000", + }, + self.data_path + "/data/images/tiff/image008.tif": { + "MotLongAxis": "170.000000", + "MotLiftTable": "70.000000", + }, + self.data_path + "/data/images/tiff/image009.tif": { + "MotLongAxis": "135.000000", + "MotLiftTable": "70.000000", + }, + } dict_returned = o_group.master_dictionary @@ -64,8 +73,9 @@ def test_create_master_dictionary(self): assert _expected[_key] == _returned[_key] def test_group_dictionary(self): - o_group = GroupImagesByCycle(list_of_files=self.full_list_of_files, - list_of_metadata_key=self.list_of_metadata_key) + o_group = GroupImagesByCycle( + list_of_files=self.full_list_of_files, list_of_metadata_key=self.list_of_metadata_key + ) o_group.create_master_dictionary() o_group.group() @@ -74,11 +84,11 @@ def test_group_dictionary(self): expected_list_group0 = self.full_list_of_files[:9] assert len(o_group.dictionary_of_groups[0]) == len(expected_list_group0) - for _file_returned, _file_expected in zip(o_group.dictionary_of_groups[0], expected_list_group0): + for _file_returned, _file_expected in zip(o_group.dictionary_of_groups[0], expected_list_group0, strict=False): assert _file_expected == _file_returned expected_list_group1 = self.full_list_of_files[9:18] assert len(o_group.dictionary_of_groups[1]) == len(expected_list_group1) - for _file_returned, _file_expected in zip(o_group.dictionary_of_groups[1], expected_list_group1): + for _file_returned, _file_expected in zip(o_group.dictionary_of_groups[1], expected_list_group1, strict=False): assert _file_expected == _file_returned diff --git a/notebooks/tests/group_images_by_cycle_for_panoramic_stitching/test_sort_images_within_cycles.py b/notebooks/tests/group_images_by_cycle_for_panoramic_stitching/test_sort_images_within_cycles.py index a8ee77c9..1c8bdea1 100755 --- a/notebooks/tests/group_images_by_cycle_for_panoramic_stitching/test_sort_images_within_cycles.py +++ b/notebooks/tests/group_images_by_cycle_for_panoramic_stitching/test_sort_images_within_cycles.py @@ -1,42 +1,45 @@ -from pathlib import Path import glob +from pathlib import Path from notebooks.__code.group_images_by_cycle_for_panoramic_stitching.group_images_by_cycle import GroupImagesByCycle -from notebooks.__code.group_images_by_cycle_for_panoramic_stitching.sort_images_within_each_cycle import SortImagesWithinEachCycle +from notebooks.__code.group_images_by_cycle_for_panoramic_stitching.sort_images_within_each_cycle import ( + SortImagesWithinEachCycle, +) class TestSortImagesWithinCycles: - def setup_method(self): data_path = Path(__file__).parent.parent - tiff_path = Path(data_path) / 'data' / 'images' / 'tiff' - list_of_files = glob.glob(str(tiff_path) + '/*.tif') + tiff_path = Path(data_path) / "data" / "images" / "tiff" + list_of_files = glob.glob(str(tiff_path) + "/*.tif") list_of_files.sort() self.list_of_files = list_of_files - full_tiff_path = Path(data_path) / 'data' / 'images' / 'data_with_acquisition_cycle' - full_list_of_files = glob.glob(str(full_tiff_path) + '/*.tif') + full_tiff_path = Path(data_path) / "data" / "images" / "data_with_acquisition_cycle" + full_list_of_files = glob.glob(str(full_tiff_path) + "/*.tif") full_list_of_files.sort() self.full_list_of_files = full_list_of_files self.list_of_metadata_key = [65045, 65041] def test_sort_dictionary(self): - o_group = GroupImagesByCycle(list_of_files=self.full_list_of_files, - list_of_metadata_key=self.list_of_metadata_key) + o_group = GroupImagesByCycle( + list_of_files=self.full_list_of_files, list_of_metadata_key=self.list_of_metadata_key + ) o_group.run() dictionary_of_groups = o_group.dictionary_of_groups dictionary_of_filename_metadata = o_group.master_dictionary - dict_how_to_sort = {'1st_variable': {'name': 'MotLiftTable', - 'is_ascending': True}, - '2nd_variable': {'name': 'MotLongAxis', - 'is_ascending': True}} + dict_how_to_sort = { + "1st_variable": {"name": "MotLiftTable", "is_ascending": True}, + "2nd_variable": {"name": "MotLongAxis", "is_ascending": True}, + } - o_sort = SortImagesWithinEachCycle(dict_groups_filename=dictionary_of_groups, - dict_filename_metadata=dictionary_of_filename_metadata) + o_sort = SortImagesWithinEachCycle( + dict_groups_filename=dictionary_of_groups, dict_filename_metadata=dictionary_of_filename_metadata + ) o_sort.sort(dict_how_to_sort=dict_how_to_sort) group0_sorted_calculated = o_sort.dict_groups_filename_sorted[0] @@ -44,5 +47,5 @@ def test_sort_dictionary(self): index_expected = [4, 5, 6, 3, 8, 7, 2, 1, 0] group0_sorted_expected = [raw_group0[_index] for _index in index_expected] - for _calculated, _expected in zip(group0_sorted_calculated, group0_sorted_expected): + for _calculated, _expected in zip(group0_sorted_calculated, group0_sorted_expected, strict=False): assert _calculated == _expected diff --git a/notebooks/tests/test_combine_images_without_outliners.py b/notebooks/tests/test_combine_images_without_outliners.py index 029183cb..5841416c 100755 --- a/notebooks/tests/test_combine_images_without_outliners.py +++ b/notebooks/tests/test_combine_images_without_outliners.py @@ -1,10 +1,10 @@ -from notebooks.__code.combine_images_without_outliers.combine_images import CombineImagesAlgorithm -import pytest import numpy as np +import pytest +from notebooks.__code.combine_images_without_outliers.combine_images import CombineImagesAlgorithm -class TestCombineImagesWithOutliners: +class TestCombineImagesWithOutliners: def test_raises_error_when_no_arrays(self): with pytest.raises(ValueError): CombineImagesAlgorithm() @@ -20,9 +20,11 @@ def test_make_sure_arrays_have_the_same_size(self): CombineImagesAlgorithm.check_arrays_have_same_size_and_dimensions(list_array=list_array) def test_make_sure_arrays_have_the_same_dimensions(self): - list_array = [np.array([[1, 2, 3], [1, 2, 3]], dtype=object), - np.array([[1, 2, 3], [1, 2, 3]], dtype=object), - np.array([[1, 2, 3], [1, 2]], dtype=object)] + list_array = [ + np.array([[1, 2, 3], [1, 2, 3]], dtype=object), + np.array([[1, 2, 3], [1, 2, 3]], dtype=object), + np.array([[1, 2, 3], [1, 2]], dtype=object), + ] with pytest.raises(ValueError): CombineImagesAlgorithm.check_arrays_have_same_size_and_dimensions(list_array=list_array) @@ -45,7 +47,8 @@ def test_mean_without_outliers_4_arrays(self): array3 = np.array([[20, 0, 0], [6, 6, 1], [1, 1, 20]]) array4 = np.array([[10, 2, 5], [10, 10, 10], [3, 3, 3]]) mean_array_calculated = CombineImagesAlgorithm.mean_without_outliers( - list_array=[array1, array2, array3, array4]) + list_array=[array1, array2, array3, array4] + ) mean_array_expected = np.array([[7.5, 2, 4], [5.5, 5.5, 5.5], [4, 4, 7]]) [nbr_row, nbr_col] = np.shape(mean_array_expected) for _row in np.arange(nbr_row): diff --git a/notebooks/tests/test_file_handler.py b/notebooks/tests/test_file_handler.py index 26add415..041c8724 100755 --- a/notebooks/tests/test_file_handler.py +++ b/notebooks/tests/test_file_handler.py @@ -1,58 +1,79 @@ -import pytest from pathlib import Path + import numpy as np +import pytest from notebooks.__code.file_handler import read_bragg_edge_fitting_ascii_format class TestReadBraggEdgeFittingAsciiFormat: - def setup_method(self): data_path = Path(__file__).parent self.data_path = data_path - self.ascii_file_name = str(Path(data_path) / 'data' / 'ascii' / 'bragg_edge_fitting_all_regions.txt') + self.ascii_file_name = str(Path(data_path) / "data" / "ascii" / "bragg_edge_fitting_all_regions.txt") def test_file_does_not_exist(self): - ascii_file = 'does_not_exist' + ascii_file = "does_not_exist" with pytest.raises(FileNotFoundError): read_bragg_edge_fitting_ascii_format(full_file_name=ascii_file) def test_retrieving_metadata_columns(self): result = read_bragg_edge_fitting_ascii_format(full_file_name=self.ascii_file_name) - metadata_column = result['metadata']['columns'] - - assert metadata_column['3'] == {'x0' : '285', - 'y0' : '131', - 'width' : '171', - 'height' : '171', - 'kropff' : { - 'a0' : '0.05697761445846593', 'b0': '-12.17789476349729', - 'a0_error' : '0.012625967415442281', 'b0_error': '0.32166122161751043', - 'ahkl' : '0.22249188576171708', 'bhkl': '-7.201720779647523', - 'ahkl_error' : '0.01749711471030342', 'bhkl_error': '0.49197822510433087', - 'ldahkl' : '0.0368126543734365', 'tau': '0.00018227258697928991', - 'sigma' : '0.00027024177029020614', - 'ldahkl_error': '0.00033445772089875196', - 'tau_error' : '0.00012216476414800265', - 'sigma_error' : '0.0001071763960918388'}, 'march_dollase' : { - 'd_spacing': 'None', 'sigma': 'None', 'alpha': 'None', 'a1': 'None', 'a2': 'None', 'a5': 'None', - 'a6' : 'None', 'd_spacing_error': 'None', 'sigma_error': 'None', 'alpha_error': 'None', - 'a1_error' : 'None', 'a2_error': 'None', 'a5_error': 'None', 'a6_error': 'None'}} + metadata_column = result["metadata"]["columns"] + + assert metadata_column["3"] == { + "x0": "285", + "y0": "131", + "width": "171", + "height": "171", + "kropff": { + "a0": "0.05697761445846593", + "b0": "-12.17789476349729", + "a0_error": "0.012625967415442281", + "b0_error": "0.32166122161751043", + "ahkl": "0.22249188576171708", + "bhkl": "-7.201720779647523", + "ahkl_error": "0.01749711471030342", + "bhkl_error": "0.49197822510433087", + "ldahkl": "0.0368126543734365", + "tau": "0.00018227258697928991", + "sigma": "0.00027024177029020614", + "ldahkl_error": "0.00033445772089875196", + "tau_error": "0.00012216476414800265", + "sigma_error": "0.0001071763960918388", + }, + "march_dollase": { + "d_spacing": "None", + "sigma": "None", + "alpha": "None", + "a1": "None", + "a2": "None", + "a5": "None", + "a6": "None", + "d_spacing_error": "None", + "sigma_error": "None", + "alpha_error": "None", + "a1_error": "None", + "a2_error": "None", + "a5_error": "None", + "a6_error": "None", + }, + } assert len(metadata_column) == 86 def test_retrieving_data(self): result = read_bragg_edge_fitting_ascii_format(full_file_name=self.ascii_file_name) - pd_data = result['data'] - data_col3 = np.array(pd_data['3']) + pd_data = result["data"] + data_col3 = np.array(pd_data["3"]) print(data_col3[0:4]) assert np.allclose(data_col3[0:4], [0.00078657, 0.00066687, 0.00100886, 0.00068397], atol=1e-5) def test_retrieving_xaxis(self): result = read_bragg_edge_fitting_ascii_format(full_file_name=self.ascii_file_name) - pd_data = result['data'] - data_tof = np.array(pd_data['tof']) + pd_data = result["data"] + data_tof = np.array(pd_data["tof"]) assert np.allclose(data_tof[0:4], [0.96, 11.2, 21.44, 31.68]) - data_lambda = np.array(pd_data['lambda']) + data_lambda = np.array(pd_data["lambda"]) assert np.allclose(data_lambda[0:4], [0.0197830, 0.01981425, 0.019845414, 0.01987658]) - data_index = np.array(pd_data['index']) + data_index = np.array(pd_data["index"]) assert np.all(data_index[0:4] == [0, 1, 2, 3]) diff --git a/notebooks/tests/test_interpolation_utilities.py b/notebooks/tests/test_interpolation_utilities.py index 95c392b4..42a8bb2d 100755 --- a/notebooks/tests/test_interpolation_utilities.py +++ b/notebooks/tests/test_interpolation_utilities.py @@ -1,5 +1,5 @@ -import pytest import numpy as np +import pytest from notebooks.__code.interpolation_utilities import Interpolation @@ -7,7 +7,6 @@ class TestInterpolation: - def test_minimum_axis_given(self): with pytest.raises(ValueError): Interpolation() @@ -26,20 +25,29 @@ def test_raises_error_if_no_new_array(self): with pytest.raises(ValueError): o_interpolation.get_new_y_array() - @pytest.mark.parametrize('x_axis, y_axis, new_x_axis, new_y_axis', - [(np.arange(10), np.arange(10) + 5, np.arange(0, 10, 2), np.arange(0, 10, 2) + 5), - (np.arange(10), np.arange(10) + 5, np.arange(0.3, 9, 0.6), [5.3, 5.9, 6.5, 7.1, 7.7, - 8.3, 8.9, 9.5, 10.1, 10.7, - 11.3, 11.9, 12.5, 13.1]), - (np.arange(10) + 0.1, np.arange(10) + 5, np.arange(0.2, 9, 0.5), [5.1, 5.6, 6.1, 6.6, - 7.1, 7.6, 8.1, 8.6, - 9.1, 9.6, 10.1, 10.6, - 11.1, 11.6])]) + @pytest.mark.parametrize( + "x_axis, y_axis, new_x_axis, new_y_axis", + [ + (np.arange(10), np.arange(10) + 5, np.arange(0, 10, 2), np.arange(0, 10, 2) + 5), + ( + np.arange(10), + np.arange(10) + 5, + np.arange(0.3, 9, 0.6), + [5.3, 5.9, 6.5, 7.1, 7.7, 8.3, 8.9, 9.5, 10.1, 10.7, 11.3, 11.9, 12.5, 13.1], + ), + ( + np.arange(10) + 0.1, + np.arange(10) + 5, + np.arange(0.2, 9, 0.5), + [5.1, 5.6, 6.1, 6.6, 7.1, 7.6, 8.1, 8.6, 9.1, 9.6, 10.1, 10.6, 11.1, 11.6], + ), + ], + ) def test_right_new_x_axis_generated(self, x_axis, y_axis, new_x_axis, new_y_axis): o_interpolation = Interpolation(x_axis=x_axis, y_axis=y_axis) y_axis_calculated = o_interpolation.get_new_y_array(new_x_axis=new_x_axis) - assert all([abs(a - b) < EPS for a, b in zip(new_y_axis, y_axis_calculated)]) + assert all([abs(a - b) < EPS for a, b in zip(new_y_axis, y_axis_calculated, strict=False)]) def test_not_enough_x_axis_data_raises_error(self): x_axis = [0, 80, 81] @@ -49,7 +57,7 @@ def test_not_enough_x_axis_data_raises_error(self): with pytest.raises(TypeError): o_interpolation.get_new_y_array(new_x_axis=new_x_axis) - @pytest.mark.parametrize('new_x_axis', [np.arange(-1, 2), np.arange(2, 15), np.arange(-3, 17)]) + @pytest.mark.parametrize("new_x_axis", [np.arange(-1, 2), np.arange(2, 15), np.arange(-3, 17)]) def test_new_x_axis_within_old_x_range(self, new_x_axis): x_axis = np.arange(10) y_axis = np.arange(10) + 5 diff --git a/notebooks/tests/test_metadata_handler.py b/notebooks/tests/test_metadata_handler.py index 449c9f88..8629c9ed 100755 --- a/notebooks/tests/test_metadata_handler.py +++ b/notebooks/tests/test_metadata_handler.py @@ -1,20 +1,20 @@ +import glob from pathlib import Path + from notebooks.__code.metadata_handler import MetadataHandler -import glob class TestMetadataHandler: - def setup_method(self): data_path = Path(__file__).parent - self.tiff_path = Path(data_path) / 'data' / 'images' / 'tiff' + self.tiff_path = Path(data_path) / "data" / "images" / "tiff" def test_empty_dict_returned_if_not_files(self): dict_returned = MetadataHandler.retrieve_metadata() assert dict_returned == {} def test_correct_full_dict_returned(self): - list_files = glob.glob(str(self.tiff_path) + '/*.tif') + list_files = glob.glob(str(self.tiff_path) + "/*.tif") first_file = list_files[0] dict_returned = MetadataHandler.retrieve_metadata(list_files=[first_file]) @@ -25,12 +25,11 @@ def test_correct_full_dict_returned(self): assert len(dict_returned[first_file].keys()) == 109 # correct metadata retrieved - assert dict_returned[first_file][65062] == 'MotAperture.RBV:220.000000' + assert dict_returned[first_file][65062] == "MotAperture.RBV:220.000000" def test_correct_requested_metadata_dict_returned(self): list_key = [65062, 65063] - list_files = glob.glob(str(self.tiff_path) + '/*.tif') - dict_returned = MetadataHandler.retrieve_value_of_metadata_key(list_files=list_files, - list_key=list_key) - assert dict_returned[list_files[0]][65062] == 'MotAperture.RBV:220.000000' - assert dict_returned[list_files[1]][65062] == 'MotAperture.RBV:220.000000' + list_files = glob.glob(str(self.tiff_path) + "/*.tif") + dict_returned = MetadataHandler.retrieve_value_of_metadata_key(list_files=list_files, list_key=list_key) + assert dict_returned[list_files[0]][65062] == "MotAperture.RBV:220.000000" + assert dict_returned[list_files[1]][65062] == "MotAperture.RBV:220.000000" diff --git a/notebooks/tests/test_nexus_handler.py b/notebooks/tests/test_nexus_handler.py index 15d6821e..1e2b56ac 100755 --- a/notebooks/tests/test_nexus_handler.py +++ b/notebooks/tests/test_nexus_handler.py @@ -1,13 +1,14 @@ -import pytest from pathlib import Path + +import pytest + from notebooks.__code import nexus_handler class TestGetListEntries: - def setup_method(self): data_path = Path(__file__).parent - self.nexus_file_name = Path(data_path) / 'data' / 'nexus' / 'test.nxs.h5' + self.nexus_file_name = Path(data_path) / "data" / "nexus" / "test.nxs.h5" def test_raise_error_if_no_input_file_name(self): """no input file name""" @@ -26,25 +27,23 @@ def test_raise_error_with_unknown_file_name(self): def test_raising_error_if_wrong_entry(self): """make sure error is raised if entry is wrong""" with pytest.raises(KeyError): - _ = nexus_handler.get_list_entries(nexus_file_name=self.nexus_file_name, - starting_entries=['entry_does_not_exist']) + _ = nexus_handler.get_list_entries( + nexus_file_name=self.nexus_file_name, starting_entries=["entry_does_not_exist"] + ) def test_data_retrieved(self): """data correctly retrieved""" - result = nexus_handler.get_list_entries(nexus_file_name=self.nexus_file_name, - starting_entries=['entry', 'daslogs']) + result = nexus_handler.get_list_entries( + nexus_file_name=self.nexus_file_name, starting_entries=["entry", "daslogs"] + ) - assert result['pv1'] == ['average_value', - 'maximum_value', - 'minimum_value', - 'value'] + assert result["pv1"] == ["average_value", "maximum_value", "minimum_value", "value"] class TestGetEntryValue: - def setup_method(self): data_path = Path(__file__).parent - self.nexus_file_name = Path(data_path) / 'data' / 'nexus' / 'test.nxs.h5' + self.nexus_file_name = Path(data_path) / "data" / "nexus" / "test.nxs.h5" def test_raise_error_if_no_input_file_name(self): with pytest.raises(ValueError): @@ -57,13 +56,11 @@ def test_raise_error_if_file_do_not_exist(self): _ = nexus_handler.get_entry_value(nexus_file_name=nexus_file_name) def test_raising_attribute_error_if_wrong_entry(self): - entry_path = ['wrong', 'path'] + entry_path = ["wrong", "path"] with pytest.raises(AttributeError): - _ = nexus_handler.get_entry_value(nexus_file_name=self.nexus_file_name, - entry_path=entry_path) + _ = nexus_handler.get_entry_value(nexus_file_name=self.nexus_file_name, entry_path=entry_path) def test_data_retrieved(self): - entry_path = ['entry', 'daslogs', 'pv1', 'value'] - result = nexus_handler.get_entry_value(nexus_file_name=self.nexus_file_name, - entry_path=entry_path) + entry_path = ["entry", "daslogs", "pv1", "value"] + result = nexus_handler.get_entry_value(nexus_file_name=self.nexus_file_name, entry_path=entry_path) assert result == [0, 1, 2, 3, 4, 5, 6, 7, 8, 9] diff --git a/notebooks/tests/test_selection_region_utilities.py b/notebooks/tests/test_selection_region_utilities.py index 1638a8da..2db3c509 100755 --- a/notebooks/tests/test_selection_region_utilities.py +++ b/notebooks/tests/test_selection_region_utilities.py @@ -4,7 +4,6 @@ class TestSelectionRegionUtilities: - def test_correctly_initialized(self): o_selection = SelectionRegionUtilities(x0=5, y0=10, width=15, height=20) assert o_selection.x0 == 5 @@ -12,15 +11,20 @@ def test_correctly_initialized(self): assert o_selection.width == 15 assert o_selection.height == 20 - @pytest.mark.parametrize('x0, y0, width, height, new_x0, new_y0, new_width, new_height', - [(5, 10, 15, 20, 6, 11, 13, 18), - (5, 10, 1, 4, 5, 11, 1, 2), - (5, 10, 1, 1, 5, 10, 1, 1), - (5, 10, 2, 2, 6, 11, 1, 1), - (5, 10, 5, 1, 6, 10, 3, 1)], ) + @pytest.mark.parametrize( + "x0, y0, width, height, new_x0, new_y0, new_width, new_height", + [ + (5, 10, 15, 20, 6, 11, 13, 18), + (5, 10, 1, 4, 5, 11, 1, 2), + (5, 10, 1, 1, 5, 10, 1, 1), + (5, 10, 2, 2, 6, 11, 1, 1), + (5, 10, 5, 1, 6, 10, 3, 1), + ], + ) def test_next_doll_region(self, x0, y0, width, height, new_x0, new_y0, new_width, new_height): - x0_returned, y0_returned, width_returned, height_returned = \ - SelectionRegionUtilities.produce_next_doll_region(x0, y0, width, height) + x0_returned, y0_returned, width_returned, height_returned = SelectionRegionUtilities.produce_next_doll_region( + x0, y0, width, height + ) assert x0_returned == new_x0 assert y0_returned == new_y0 assert width_returned == new_width @@ -30,26 +34,26 @@ def test_all_russian_doll_regions_for_2_square_dolls(self): o_region = SelectionRegionUtilities(x0=5, y0=10, width=3, height=3) dict_regions = o_region.get_all_russian_doll_regions() assert len(dict_regions) == 2 - assert dict_regions[0] == {'x0': 5, 'y0': 10, 'width': 3, 'height': 3} - assert dict_regions[1] == {'x0': 6, 'y0': 11, 'width': 1, 'height': 1} + assert dict_regions[0] == {"x0": 5, "y0": 10, "width": 3, "height": 3} + assert dict_regions[1] == {"x0": 6, "y0": 11, "width": 1, "height": 1} def test_all_russian_doll_regions_for_2_free_dolls(self): o_region = SelectionRegionUtilities(x0=5, y0=10, width=1, height=3) dict_regions = o_region.get_all_russian_doll_regions() assert len(dict_regions) == 2 - assert dict_regions[0] == {'x0': 5, 'y0': 10, 'width': 1, 'height': 3} - assert dict_regions[1] == {'x0': 5, 'y0': 11, 'width': 1, 'height': 1} + assert dict_regions[0] == {"x0": 5, "y0": 10, "width": 1, "height": 3} + assert dict_regions[1] == {"x0": 5, "y0": 11, "width": 1, "height": 1} def test_all_russian_doll_regions_for_1_square_dolls(self): o_region = SelectionRegionUtilities(x0=5, y0=10, width=1, height=1) dict_regions = o_region.get_all_russian_doll_regions() assert len(dict_regions) == 1 - assert dict_regions[0] == {'x0': 5, 'y0': 10, 'width': 1, 'height': 1} + assert dict_regions[0] == {"x0": 5, "y0": 10, "width": 1, "height": 1} def test_all_russian_doll_regions_for_3_free_dolls(self): o_region = SelectionRegionUtilities(x0=5, y0=10, width=5, height=3) dict_regions = o_region.get_all_russian_doll_regions() assert len(dict_regions) == 3 - assert dict_regions[0] == {'x0': 5, 'y0': 10, 'width': 5, 'height': 3} - assert dict_regions[1] == {'x0': 6, 'y0': 11, 'width': 3, 'height': 1} - assert dict_regions[2] == {'x0': 7, 'y0': 11, 'width': 1, 'height': 1} + assert dict_regions[0] == {"x0": 5, "y0": 10, "width": 5, "height": 3} + assert dict_regions[1] == {"x0": 6, "y0": 11, "width": 3, "height": 1} + assert dict_regions[2] == {"x0": 7, "y0": 11, "width": 1, "height": 1} diff --git a/notebooks/users_notebooks/converted_notebooks/IPTS-27939.py b/notebooks/users_notebooks/converted_notebooks/IPTS-27939.py index 5142d810..092c476e 100755 --- a/notebooks/users_notebooks/converted_notebooks/IPTS-27939.py +++ b/notebooks/users_notebooks/converted_notebooks/IPTS-27939.py @@ -28,25 +28,27 @@ # * *Notebook*: apply geometry correction to all profiles # * **User**: select where to output the images corrected, profiles ascii files and metadata file. -# # Python Import +# # Python Import # + import os import sys -module_path = os.path.abspath(os.path.join('..')) + +module_path = os.path.abspath(os.path.join("..")) if module_path not in sys.path: sys.path.append(module_path) # %matplotlib notebook from __code import system + system.System.select_working_dir() from ipts_27939_code.ipts_27939 import IPTS_27939 # - -# # Select Images +# # Select Images o_ipts = IPTS_27939(working_dir=system.System.get_working_dir()) o_ipts.select_images() @@ -69,7 +71,7 @@ o_ipts.rotate_images() -# # crop sample to region of interest +# # crop sample to region of interest # By playing with the **left**, **right**, **top** and **bottom** sliders, select a region surrounding the data you want to work with. # @@ -81,7 +83,7 @@ # # # * Make sure you include the container in the selection (edges should have a value of 1) -# and +# and # * a part of the container without sample inside (will be used for normalization) # # For example: @@ -91,7 +93,7 @@ o_ipts.apply_rotation() o_ipts.select_crop_region() -# ## Visualize result of cropping +# ## Visualize result of cropping o_ipts.visualize_crop() @@ -111,7 +113,7 @@ # # Select sample # -# Select the **top** and **bottom** limit of your sample. +# Select the **top** and **bottom** limit of your sample. # # __For example:__ # @@ -124,20 +126,18 @@ o_ipts.remove_background_signal() -# # Profiles to work with +# # Profiles to work with o_ipts.display_of_profiles() -# # Applying geometry correction +# # Applying geometry correction o_ipts.correct_cylinder_geometry() -# # Export +# # Export # # This will export: # - the corrected cropped images # - the full horizontal profiles of each image o_ipts.export_profiles() - - diff --git a/notebooks/users_notebooks/converted_notebooks/IPTS-28402.py b/notebooks/users_notebooks/converted_notebooks/IPTS-28402.py index b047500d..e4b1123f 100755 --- a/notebooks/users_notebooks/converted_notebooks/IPTS-28402.py +++ b/notebooks/users_notebooks/converted_notebooks/IPTS-28402.py @@ -17,7 +17,7 @@ # **Workflow of this notebook** # # * **User**: select the images to work with. -# * *Notebook*: load and automatically rotate the data 90 degrees to match the algorithm orientation +# * *Notebook*: load and automatically rotate the data 90 degrees to match the algorithm orientation # * **User**: select region to work with by cropping the raw data # * **User**: select horizontal range of profile to combine # * *Notebook*: use that range and combine the data using a mean @@ -31,25 +31,27 @@ # * *Notebook*: apply geometry correction to inner cylinder # * **User**: select where to output the ascii files that will contains the profiles. -# # Python Import +# # Python Import # + import os import sys -module_path = os.path.abspath(os.path.join('..')) + +module_path = os.path.abspath(os.path.join("..")) if module_path not in sys.path: sys.path.append(module_path) # %matplotlib notebook from __code import system + system.System.select_working_dir() from ipts_28402_code.ipts_28402 import IPTS_28402 # - -# # Select Images +# # Select Images o_ipts = IPTS_28402(working_dir=system.System.get_working_dir()) o_ipts.select_images() @@ -60,7 +62,7 @@ o_ipts.visualize_raw_images() -# # crop sample to region of interest +# # crop sample to region of interest # By playing with the **left**, **right**, **top** and **bottom** sliders, select a region surrounding the data you # want to correct. @@ -72,7 +74,7 @@ o_ipts.select_crop_region() -# ## Visualize result of cropping +# ## Visualize result of cropping o_ipts.visualize_crop() @@ -82,11 +84,11 @@ o_ipts.selection_of_profiles_limit() -# # Profiles to work with +# # Profiles to work with o_ipts.display_of_profiles() -# # Let's define the position of the cylinders edges +# # Let's define the position of the cylinders edges o_ipts.cylinders_positions() @@ -96,7 +98,7 @@ o_ipts.cleaning_edges() -# # Switching to attenuation mode +# # Switching to attenuation mode o_ipts.switching_to_attenuation_mode() @@ -108,7 +110,7 @@ o_ipts.full_profile_with_only_outer_cylinder_corrected() -# # Working on inner cylinder +# # Working on inner cylinder # We find the center, radius and truncate outside cylinder, keeping only the data from the inner cylinder # @@ -124,7 +126,3 @@ # Select the folder where you want to create the text files, comma separated file, of the inner cylinder profiles corrected. Each image will have its own text file. o_ipts.export_profiles() - - - - diff --git a/notebooks/users_notebooks/converted_notebooks/IPTS-30610.py b/notebooks/users_notebooks/converted_notebooks/IPTS-30610.py index 93cdd3da..d379e424 100755 --- a/notebooks/users_notebooks/converted_notebooks/IPTS-30610.py +++ b/notebooks/users_notebooks/converted_notebooks/IPTS-30610.py @@ -28,25 +28,27 @@ # * *Notebook*: apply geometry correction to all profiles # * **User**: select where to output the images corrected, profiles ascii files and metadata file. -# # Python Import +# # Python Import # + import os import sys -module_path = os.path.abspath(os.path.join('..')) + +module_path = os.path.abspath(os.path.join("..")) if module_path not in sys.path: sys.path.append(module_path) # %matplotlib notebook from __code import system + system.System.select_working_dir() from ipts_30610_code.ipts_30610 import IPTS_30610 # - -# # Select Images +# # Select Images o_ipts = IPTS_30610(working_dir=system.System.get_working_dir()) o_ipts.select_images() @@ -67,7 +69,7 @@ o_ipts.rotate_images() -# # crop sample to region of interest +# # crop sample to region of interest # By playing with the **left**, **right**, **top** and **bottom** sliders, select a region surrounding the data you want to work with. # @@ -79,7 +81,7 @@ # # # * Make sure you include the container in the selection (edges should have a value of 1) -# and +# and # * a part of the container without sample inside (will be used for normalization) # # For example: @@ -89,7 +91,7 @@ o_ipts.apply_rotation() o_ipts.select_crop_region() -# ## Visualize result of cropping +# ## Visualize result of cropping o_ipts.visualize_crop() @@ -109,7 +111,7 @@ # # Select sample # -# Select the **top** and **bottom** limit of your sample. +# Select the **top** and **bottom** limit of your sample. # # __For example:__ # @@ -122,20 +124,18 @@ o_ipts.remove_background_signal() -# # Profiles to work with +# # Profiles to work with o_ipts.display_of_profiles() -# # Applying geometry correction +# # Applying geometry correction o_ipts.correct_cylinder_geometry() -# # Export +# # Export # # This will export: # - the corrected cropped images # - the full horizontal profiles of each image o_ipts.export_profiles() - - diff --git a/notebooks/users_notebooks/converted_notebooks/golden_ratio_table_scan_generator.py b/notebooks/users_notebooks/converted_notebooks/golden_ratio_table_scan_generator.py index 1b4cbe67..1e064b2d 100755 --- a/notebooks/users_notebooks/converted_notebooks/golden_ratio_table_scan_generator.py +++ b/notebooks/users_notebooks/converted_notebooks/golden_ratio_table_scan_generator.py @@ -12,7 +12,7 @@ # name: python3 # --- -# # Example of the output file format +# # Example of the output file format # CG1D:Det:Q1:TIFF1:FilePath,CG1D:Det:Q1:TIFF1:FileName,CG1D:Det:Q1:AcquireTime,CG1D:Mot:SmallRot2,CG1D:Scan:IncrementRunNo.PROC,CG1D:Scan:RunNoRestore.PROC,Camera,Camera # /data/IPTS-25781/raw/ct_scans/2022_11_07_DAS,das_test_1,2.4,1.0,1,1,QHY 90,QHY 90 @@ -24,10 +24,11 @@ # + import numpy as np -def make_ascii_file(data=[], output_file_name=''): - f = open(output_file_name, 'w') + +def make_ascii_file(data=[], output_file_name=""): + f = open(output_file_name, "w") for _data in data: - _line = str(_data) + '\n' + _line = str(_data) + "\n" f.write(_line) f.close() @@ -35,7 +36,7 @@ def make_ascii_file(data=[], output_file_name=''): # - -# # User input +# # User input # + file_path = "/data/IPTS-25265/raw/ct_scans/2022_11_08_1image_30s_1000angles/" @@ -52,16 +53,17 @@ def make_ascii_file(data=[], output_file_name=''): # + with open("Data.csv") as stream: lines = stream.readlines() - -angle_values = ["%.2f"%(float(l)) for l in lines[1:]] + +angle_values = ["%.2f" % (float(l)) for l in lines[1:]] angle_values.insert(1, "90.00") -import pprint # pprint.pprint(angle_values) # + file_name = [] -csv_file = [f"CG1D:Det:Q1:TIFF1:FilePath,CG1D:Det:Q1:TIFF1:FileName,CG1D:Det:Q1:AcquireTime,{name_of_rotation_stage},CG1D:Scan:IncrementRunNo.PROC,CG1D:Scan:RunNoRestore.PROC,Camera,Camera"] +csv_file = [ + f"CG1D:Det:Q1:TIFF1:FilePath,CG1D:Det:Q1:TIFF1:FileName,CG1D:Det:Q1:AcquireTime,{name_of_rotation_stage},CG1D:Scan:IncrementRunNo.PROC,CG1D:Scan:RunNoRestore.PROC,Camera,Camera" +] for angle in angle_values: angle_value_as_list = angle.split(".") @@ -71,7 +73,7 @@ def make_ascii_file(data=[], output_file_name=''): file_name = f"image_{angle_value}" _entry = f"{file_path},{file_name},{acquisition_time_s},{angle},1,1,{name_of_camera},{name_of_camera}" csv_file.append(_entry) - 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gt=l.getRefType(nt);"domain"===gt?("y"===et&&(vt=1-vt),ft.tail=it._offset+it._length*vt):"paper"===gt?"y"===et?(vt=1-vt,ft.tail=T.t+T.h*vt):ft.tail=T.l+T.w*vt:ft.tail=it._offset+it.r2p(vt),J=tt}else ft.tail=K+vt,J=tt+vt;ft.text=ft.tail+tt;var yt=w["x"===et?"width":"height"];if("paper"===rt&&(ft.head=o.constrain(ft.head,1,yt-1)),"pixel"===nt){var mt=-Math.max(ft.tail-3,ft.text),xt=Math.min(ft.tail+3,ft.text)-yt;mt>0?(ft.tail+=mt,ft.text+=mt):xt>0&&(ft.tail-=xt,ft.text-=xt)}ft.tail+=ct,ft.head+=ct}else J=tt=lt*H(Q,ut),ft.text=K+tt;ft.text+=ct,tt+=ct,J+=ct,e["_"+et+"padplus"]=lt/2+J,e["_"+et+"padminus"]=lt/2-J,e["_"+et+"size"]=lt,e["_"+et+"shift"]=tt}if(Y)R.remove();else{var bt=0,_t=0;if("left"!==e.align&&(bt=(A-b)*("center"===e.align?.5:1)),"top"!==e.valign&&(_t=(z-_)*("middle"===e.valign?.5:1)),f)n.select("svg").attr({x:N+bt-1,y:N+_t}).call(c.setClipUrl,U?L:null,t);else{var wt=N+_t-v.top,Tt=N+bt-v.left;G.call(h.positionText,Tt,wt).call(c.setClipUrl,U?L:null,t)}V.select("rect").call(c.setRect,N,N,A,z),j.call(c.setRect,F/2,F/2,B-F,q-F),R.call(c.setTranslate,Math.round(C.x.text-B/2),Math.round(C.y.text-q/2)),I.attr({transform:"rotate("+P+","+C.x.text+","+C.y.text+")"});var kt,At=function(r,n){O.selectAll(".annotation-arrow-g").remove();var l=C.x.head,f=C.y.head,h=C.x.tail+r,p=C.y.tail+n,v=C.x.text+r,b=C.y.text+n,_=o.rotationXYMatrix(P,v,b),w=o.apply2DTransform(_),A=o.apply2DTransform2(_),L=+j.attr("width"),D=+j.attr("height"),z=v-.5*L,F=z+L,B=b-.5*D,N=B+D,U=[[z,B,z,N],[z,N,F,N],[F,N,F,B],[F,B,z,B]].map(A);if(!U.reduce((function(t,e){return t^!!o.segmentsIntersect(l,f,l+1e6,f+1e6,e[0],e[1],e[2],e[3])}),!1)){U.forEach((function(t){var e=o.segmentsIntersect(h,p,l,f,t[0],t[1],t[2],t[3]);e&&(h=e.x,p=e.y)}));var V=e.arrowwidth,q=e.arrowcolor,H=e.arrowside,G=O.append("g").style({opacity:u.opacity(q)}).classed("annotation-arrow-g",!0),W=G.append("path").attr("d","M"+h+","+p+"L"+l+","+f).style("stroke-width",V+"px").call(u.stroke,u.rgb(q));if(g(W,H,e),k.annotationPosition&&W.node().parentNode&&!a){var Y=l,X=f;if(e.standoff){var Z=Math.sqrt(Math.pow(l-h,2)+Math.pow(f-p,2));Y+=e.standoff*(h-l)/Z,X+=e.standoff*(p-f)/Z}var K,J,$=G.append("path").classed("annotation-arrow",!0).classed("anndrag",!0).classed("cursor-move",!0).attr({d:"M3,3H-3V-3H3ZM0,0L"+(h-Y)+","+(p-X),transform:s(Y,X)}).style("stroke-width",V+6+"px").call(u.stroke,"rgba(0,0,0,0)").call(u.fill,"rgba(0,0,0,0)");d.init({element:$.node(),gd:t,prepFn:function(){var t=c.getTranslate(R);K=t.x,J=t.y,y&&y.autorange&&M(y._name+".autorange",!0),x&&x.autorange&&M(x._name+".autorange",!0)},moveFn:function(t,r){var n=w(K,J),i=n[0]+t,a=n[1]+r;R.call(c.setTranslate,i,a),S("x",m(y,t,"x",T,e)),S("y",m(x,r,"y",T,e)),e.axref===e.xref&&S("ax",m(y,t,"ax",T,e)),e.ayref===e.yref&&S("ay",m(x,r,"ay",T,e)),G.attr("transform",s(t,r)),I.attr({transform:"rotate("+P+","+i+","+a+")"})},doneFn:function(){i.call("_guiRelayout",t,E());var e=document.querySelector(".js-notes-box-panel");e&&e.redraw(e.selectedObj)}})}}};e.showarrow&&At(0,0),D&&d.init({element:R.node(),gd:t,prepFn:function(){kt=I.attr("transform")},moveFn:function(t,r){var n="pointer";if(e.showarrow)e.axref===e.xref?S("ax",m(y,t,"ax",T,e)):S("ax",e.ax+t),e.ayref===e.yref?S("ay",m(x,r,"ay",T.w,e)):S("ay",e.ay+r),At(t,r);else{if(a)return;var i,o;if(y)i=m(y,t,"x",T,e);else{var l=e._xsize/T.w,u=e.x+(e._xshift-e.xshift)/T.w-l/2;i=d.align(u+t/T.w,l,0,1,e.xanchor)}if(x)o=m(x,r,"y",T,e);else{var c=e._ysize/T.h,f=e.y-(e._yshift+e.yshift)/T.h-c/2;o=d.align(f-r/T.h,c,0,1,e.yanchor)}S("x",i),S("y",o),y&&x||(n=d.getCursor(y?.5:i,x?.5:o,e.xanchor,e.yanchor))}I.attr({transform:s(t,r)+kt}),p(R,n)},clickFn:function(r,n){e.captureevents&&t.emit("plotly_clickannotation",W(n))},doneFn:function(){p(R),i.call("_guiRelayout",t,E());var e=document.querySelector(".js-notes-box-panel");e&&e.redraw(e.selectedObj)}})}}}t.exports={draw:function(t){var e=t._fullLayout;e._infolayer.selectAll(".annotation").remove();for(var r=0;r=0,x=e.indexOf("end")>=0,b=d.backoff*g+r.standoff,_=v.backoff*y+r.startstandoff;if("line"===p.nodeName){o={x:+t.attr("x1"),y:+t.attr("y1")},c={x:+t.attr("x2"),y:+t.attr("y2")};var w=o.x-c.x,T=o.y-c.y;if(h=(f=Math.atan2(T,w))+Math.PI,b&&_&&b+_>Math.sqrt(w*w+T*T))return void D();if(b){if(b*b>w*w+T*T)return void D();var k=b*Math.cos(f),A=b*Math.sin(f);c.x+=k,c.y+=A,t.attr({x2:c.x,y2:c.y})}if(_){if(_*_>w*w+T*T)return void D();var M=_*Math.cos(f),S=_*Math.sin(f);o.x-=M,o.y-=S,t.attr({x1:o.x,y1:o.y})}}else if("path"===p.nodeName){var E=p.getTotalLength(),L="";if(E1){u=!0;break}}u?t.fullLayout._infolayer.select(".annotation-"+t.id+'[data-index="'+s+'"]').remove():(l._pdata=i(t.glplot.cameraParams,[e.xaxis.r2l(l.x)*r[0],e.yaxis.r2l(l.y)*r[1],e.zaxis.r2l(l.z)*r[2]]),n(t.graphDiv,l,s,t.id,l._xa,l._ya))}}},56864:function(t,e,r){"use strict";var n=r(24040),i=r(3400);t.exports={moduleType:"component",name:"annotations3d",schema:{subplots:{scene:{annotations:r(45899)}}},layoutAttributes:r(45899),handleDefaults:r(52808),includeBasePlot:function(t,e){var r=n.subplotsRegistry.gl3d;if(r)for(var a=r.attrRegex,o=Object.keys(t),s=0;s=0))return t;if(3===o)n[o]>1&&(n[o]=1);else if(n[o]>=1)return t}var s=Math.round(255*n[0])+", "+Math.round(255*n[1])+", "+Math.round(255*n[2]);return a?"rgba("+s+", "+n[3]+")":"rgb("+s+")"}o.tinyRGB=function(t){var e=t.toRgb();return"rgb("+Math.round(e.r)+", "+Math.round(e.g)+", 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pt=Math.pow(10,Math.floor(Math.log(ht)/Math.LN10));ct*=pt*u.roundUp(ht/pt,[2,5,10]),(Math.abs(W.start)/W.size+1e-6)%1<2e-6&&(lt.tick0=0)}lt.dtick=ct}lt.domain=o?[ot+O/B.h,ot+Q-O/B.h]:[ot+P/B.w,ot+Q-P/B.w],lt.setScale(),t.attr("transform",c(Math.round(B.l),Math.round(B.t)));var dt,vt=t.select("."+A.cbtitleunshift).attr("transform",c(-Math.round(B.l),-Math.round(B.t))),gt=lt.ticklabelposition,yt=lt.title.font.size,mt=t.select("."+A.cbaxis),xt=0,bt=0;function _t(n,i){var a={propContainer:lt,propName:e._propPrefix+"title",traceIndex:e._traceIndex,_meta:e._meta,placeholder:F._dfltTitle.colorbar,containerGroup:t.select("."+A.cbtitle)},o="h"===n.charAt(0)?n.substr(1):"h"+n;t.selectAll("."+o+",."+o+"-math-group").remove(),v.draw(r,n,f(a,i||{}))}return u.syncOrAsync([a.previousPromises,function(){var t,e;(o&&ut||!o&&!ut)&&("top"===V&&(t=P+B.l+tt*I,e=O+B.t+et*(1-ot-Q)+3+.75*yt),"bottom"===V&&(t=P+B.l+tt*I,e=O+B.t+et*(1-ot)-3-.25*yt),"right"===V&&(e=O+B.t+et*D+3+.75*yt,t=P+B.l+tt*ot),_t(lt._id+"title",{attributes:{x:t,y:e,"text-anchor":o?"start":"middle"}}))},function(){if(!o&&!ut||o&&ut){var a,l=t.select("."+A.cbtitle),f=l.select("text"),h=[-M/2,M/2],d=l.select(".h"+lt._id+"title-math-group").node(),v=15.6;if(f.node()&&(v=parseInt(f.node().style.fontSize,10)*w),d?(a=p.bBox(d),bt=a.width,(xt=a.height)>v&&(h[1]-=(xt-v)/2)):f.node()&&!f.classed(A.jsPlaceholder)&&(a=p.bBox(f.node()),bt=a.width,xt=a.height),o){if(xt){if(xt+=5,"top"===V)lt.domain[1]-=xt/B.h,h[1]*=-1;else{lt.domain[0]+=xt/B.h;var y=g.lineCount(f);h[1]+=(1-y)*v}l.attr("transform",c(h[0],h[1])),lt.setScale()}}else bt&&("right"===V&&(lt.domain[0]+=(bt+yt/2)/B.w),l.attr("transform",c(h[0],h[1])),lt.setScale())}t.selectAll("."+A.cbfills+",."+A.cblines).attr("transform",o?c(0,Math.round(B.h*(1-lt.domain[1]))):c(Math.round(B.w*lt.domain[0]),0)),mt.attr("transform",o?c(0,Math.round(-B.t)):c(Math.round(-B.l),0));var m=t.select("."+A.cbfills).selectAll("rect."+A.cbfill).attr("style","").data(X);m.enter().append("rect").classed(A.cbfill,!0).attr("style",""),m.exit().remove();var x=q.map(lt.c2p).map(Math.round).sort((function(t,e){return t-e}));m.each((function(t,a){var s=[0===a?q[0]:(X[a]+X[a-1])/2,a===X.length-1?q[1]:(X[a]+X[a+1])/2].map(lt.c2p).map(Math.round);o&&(s[1]=u.constrain(s[1]+(s[1]>s[0])?1:-1,x[0],x[1]));var l=n.select(this).attr(o?"x":"y",rt).attr(o?"y":"x",n.min(s)).attr(o?"width":"height",Math.max(K,2)).attr(o?"height":"width",Math.max(n.max(s)-n.min(s),2));if(e._fillgradient)p.gradient(l,r,e._id,o?"vertical":"horizontalreversed",e._fillgradient,"fill");else{var c=G(t).replace("e-","");l.attr("fill",i(c).toHexString())}}));var b=t.select("."+A.cblines).selectAll("path."+A.cbline).data(j.color&&j.width?Z:[]);b.enter().append("path").classed(A.cbline,!0),b.exit().remove(),b.each((function(t){var e=rt,r=Math.round(lt.c2p(t))+j.width/2%1;n.select(this).attr("d","M"+(o?e+","+r:r+","+e)+(o?"h":"v")+K).call(p.lineGroupStyle,j.width,H(t),j.dash)})),mt.selectAll("g."+lt._id+"tick,path").remove();var _=rt+K+(M||0)/2-("outside"===e.ticks?1:0),T=s.calcTicks(lt),k=s.getTickSigns(lt)[2];return s.drawTicks(r,lt,{vals:"inside"===lt.ticks?s.clipEnds(lt,T):T,layer:mt,path:s.makeTickPath(lt,_,k),transFn:s.makeTransTickFn(lt)}),s.drawLabels(r,lt,{vals:T,layer:mt,transFn:s.makeTransTickLabelFn(lt),labelFns:s.makeLabelFns(lt,_)})},function(){if(o&&!ut||!o&&ut){var t,i,a=lt.position||0,s=lt._offset+lt._length/2;if("right"===V)i=s,t=B.l+tt*a+10+yt*(lt.showticklabels?1:.5);else if(t=s,"bottom"===V&&(i=B.t+et*a+10+(-1===gt.indexOf("inside")?lt.tickfont.size:0)+("intside"!==lt.ticks&&e.ticklen||0)),"top"===V){var l=U.text.split("
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N=S+M,j=(o?rt:st)-N/2-(o?P:0),q=(o?st:rt)-(o?$:O+g-w);t.select("."+A.cbbg).attr("x",j).attr("y",q).attr(o?"width":"height",Math.max(b-w,2)).attr(o?"height":"width",Math.max($+N,2)).call(d.fill,E).call(d.stroke,e.bordercolor).style("stroke-width",S);var H=v?Math.max(u-10,0):0;t.selectAll("."+A.cboutline).attr("x",(o?rt:st+P)+H).attr("y",(o?st+O-$:rt)+(f?xt:0)).attr(o?"width":"height",Math.max(K,2)).attr(o?"height":"width",Math.max($-(o?2*O+xt:2*P+H),2)).call(d.stroke,e.outlinecolor).style({fill:"none","stroke-width":M});var G=o?nt*b:0,W=o?0:(1-it)*b-g;if(G=R?B.l-G:-G,W=z?B.t-W:-W,t.attr("transform",c(G,W)),!o&&(S||i(E).getAlpha()&&!i.equals(F.paper_bgcolor,E))){var Y=mt.selectAll("text"),X=Y[0].length,Z=t.select("."+A.cbbg).node(),J=p.bBox(Z),Q=p.getTranslate(t);Y.each((function(t,e){var r=X-1;if(0===e||e===r){var n,i=p.bBox(this),a=p.getTranslate(this);if(e===r){var o=i.right+a.x;(n=J.right+Q.x+st-S-2+I-o)>0&&(n=0)}else if(0===e){var 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_,C,P;"right"===L.side?(_="start",C=1,P="",g=E._offset+E._length):(_="end",C=-1,P="-",g=E._offset),y=L._offset+(A.y0+A.y1)/2,l.attr("text-anchor",_),e.attr("d","M0,0L"+P+M+","+M+"V"+(S+m.height/2)+"h"+P+(2*S+m.width)+"V-"+(S+m.height/2)+"H"+P+M+"V-"+M+"Z"),Y.minY=y-(S+m.height/2),Y.maxY=y+(S+m.height/2),"right"===L.side?(Y.minX=g+M,Y.maxX=g+M+(2*S+m.width)):(Y.minX=g-M-(2*S+m.width),Y.maxX=g-M);var O,I=m.height/2,z=F-m.top-I,R="clip"+i._uid+"commonlabel"+L._id;if(g=0?lt:ut+ht=0?ut:bt+ht=0?ot:st+pt=0?st:_t+pt=0,"top"!==t.idealAlign&&G||!W?G?(O+=R/2,t.anchor="start"):t.anchor="middle":(O-=R/2,t.anchor="end"),t.crossPos=O;else{if(t.pos=O,G=P+z/2+Y<=B,W=P-z/2-Y>=0,"left"!==t.idealAlign&&G||!W)if(G)P+=z/2,t.anchor="start";else{t.anchor="middle";var X=Y/2,Z=P+X-B,K=P-X;Z>0&&(P-=Z),K<0&&(P+=-K)}else P-=z/2,t.anchor="end";t.crossPos=P}w.attr("text-anchor",t.anchor),E&&A.attr("text-anchor",t.anchor),e.attr("transform",s(P,O)+(u?l(_):""))})),{hoverLabels:wt,commonLabelBoundingBox:Y}}function 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b=y+v.textShiftX,_=m+t.ty0-t.by/2+S,w=t.textAlign||"auto";"auto"!==w&&("left"===w&&"start"!==p?(f.attr("text-anchor","start"),b=x?-t.bx/2-t.tx2width/2+S:-t.bx-S):"right"===w&&"end"!==p&&(f.attr("text-anchor","end"),b=x?t.bx/2-t.tx2width/2-S:t.bx+S)),f.call(c.positionText,a(b),o(_)),t.tx2width&&(r.select("text.name").call(c.positionText,a(v.text2ShiftX+v.alignShift*S+y),o(m+t.ty0-t.by/2+S)),r.select("rect").call(h.setRect,a(v.text2ShiftX+(v.alignShift-1)*t.tx2width/2+y),o(m-t.by/2-1),a(t.tx2width),o(t.by+2)))}))}function R(t,e){var r=t.index,n=t.trace||{},a=t.cd[0],s=t.cd[r]||{};function l(t){return t||i(t)&&0===t}var u=Array.isArray(r)?function(t,e){var i=o.castOption(a,r,t);return l(i)?i:o.extractOption({},n,"",e)}:function(t,e){return o.extractOption(s,n,t,e)};function c(e,r,n){var i=u(r,n);l(i)&&(t[e]=i)}if(c("hoverinfo","hi","hoverinfo"),c("bgcolor","hbg","hoverlabel.bgcolor"),c("borderColor","hbc","hoverlabel.bordercolor"),c("fontFamily","htf","hoverlabel.font.family"),c("fontSize","hts","hoverlabel.font.size"),c("fontColor","htc","hoverlabel.font.color"),c("nameLength","hnl","hoverlabel.namelength"),c("textAlign","hta","hoverlabel.align"),t.posref="y"===e||"closest"===e&&"h"===n.orientation?t.xa._offset+(t.x0+t.x1)/2:t.ya._offset+(t.y0+t.y1)/2,t.x0=o.constrain(t.x0,0,t.xa._length),t.x1=o.constrain(t.x1,0,t.xa._length),t.y0=o.constrain(t.y0,0,t.ya._length),t.y1=o.constrain(t.y1,0,t.ya._length),void 0!==t.xLabelVal&&(t.xLabel="xLabel"in t?t.xLabel:v.hoverLabelText(t.xa,t.xLabelVal,n.xhoverformat),t.xVal=t.xa.c2d(t.xLabelVal)),void 0!==t.yLabelVal&&(t.yLabel="yLabel"in t?t.yLabel:v.hoverLabelText(t.ya,t.yLabelVal,n.yhoverformat),t.yVal=t.ya.c2d(t.yLabelVal)),void 0!==t.zLabelVal&&void 0===t.zLabel&&(t.zLabel=String(t.zLabelVal)),!(isNaN(t.xerr)||"log"===t.xa.type&&t.xerr<=0)){var f=v.tickText(t.xa,t.xa.c2l(t.xerr),"hover").text;void 0!==t.xerrneg?t.xLabel+=" +"+f+" / -"+v.tickText(t.xa,t.xa.c2l(t.xerrneg),"hover").text:t.xLabel+=" ± "+f,"x"===e&&(t.distance+=1)}if(!(isNaN(t.yerr)||"log"===t.ya.type&&t.yerr<=0)){var h=v.tickText(t.ya,t.ya.c2l(t.yerr),"hover").text;void 0!==t.yerrneg?t.yLabel+=" +"+h+" / -"+v.tickText(t.ya,t.ya.c2l(t.yerrneg),"hover").text:t.yLabel+=" ± "+h,"y"===e&&(t.distance+=1)}var p=t.hoverinfo||t.trace.hoverinfo;return p&&"all"!==p&&(-1===(p=Array.isArray(p)?p:p.split("+")).indexOf("x")&&(t.xLabel=void 0),-1===p.indexOf("y")&&(t.yLabel=void 0),-1===p.indexOf("z")&&(t.zLabel=void 0),-1===p.indexOf("text")&&(t.text=void 0),-1===p.indexOf("name")&&(t.name=void 0)),t}function F(t,e,r){var n,i,o=r.container,s=r.fullLayout,l=s._size,u=r.event,c=!!e.hLinePoint,f=!!e.vLinePoint;if(o.selectAll(".spikeline").remove(),f||c){var d=p.combine(s.plot_bgcolor,s.paper_bgcolor);if(c){var g,y,m=e.hLinePoint;n=m&&m.xa,"cursor"===(i=m&&m.ya).spikesnap?(g=u.pointerX,y=u.pointerY):(g=n._offset+m.x,y=i._offset+m.y);var x,b,_=a.readability(m.color,d)<1.5?p.contrast(d):m.color,w=i.spikemode,T=i.spikethickness,k=i.spikecolor||_,A=v.getPxPosition(t,i);if(-1!==w.indexOf("toaxis")||-1!==w.indexOf("across")){if(-1!==w.indexOf("toaxis")&&(x=A,b=g),-1!==w.indexOf("across")){var M=i._counterDomainMin,S=i._counterDomainMax;"free"===i.anchor&&(M=Math.min(M,i.position),S=Math.max(S,i.position)),x=l.l+M*l.w,b=l.l+S*l.w}o.insert("line",":first-child").attr({x1:x,x2:b,y1:y,y2:y,"stroke-width":T,stroke:k,"stroke-dasharray":h.dashStyle(i.spikedash,T)}).classed("spikeline",!0).classed("crisp",!0),o.insert("line",":first-child").attr({x1:x,x2:b,y1:y,y2:y,"stroke-width":T+2,stroke:d}).classed("spikeline",!0).classed("crisp",!0)}-1!==w.indexOf("marker")&&o.insert("circle",":first-child").attr({cx:A+("right"!==i.side?T:-T),cy:y,r:T,fill:k}).classed("spikeline",!0)}if(f){var E,L,C=e.vLinePoint;n=C&&C.xa,i=C&&C.ya,"cursor"===n.spikesnap?(E=u.pointerX,L=u.pointerY):(E=n._offset+C.x,L=i._offset+C.y);var P,O,I=a.readability(C.color,d)<1.5?p.contrast(d):C.color,D=n.spikemode,z=n.spikethickness,R=n.spikecolor||I,F=v.getPxPosition(t,n);if(-1!==D.indexOf("toaxis")||-1!==D.indexOf("across")){if(-1!==D.indexOf("toaxis")&&(P=F,O=L),-1!==D.indexOf("across")){var B=n._counterDomainMin,N=n._counterDomainMax;"free"===n.anchor&&(B=Math.min(B,n.position),N=Math.max(N,n.position)),P=l.t+(1-N)*l.h,O=l.t+(1-B)*l.h}o.insert("line",":first-child").attr({x1:E,x2:E,y1:P,y2:O,"stroke-width":z,stroke:R,"stroke-dasharray":h.dashStyle(n.spikedash,z)}).classed("spikeline",!0).classed("crisp",!0),o.insert("line",":first-child").attr({x1:E,x2:E,y1:P,y2:O,"stroke-width":z+2,stroke:d}).classed("spikeline",!0).classed("crisp",!0)}-1!==D.indexOf("marker")&&o.insert("circle",":first-child").attr({cx:E,cy:F-("top"!==n.side?z:-z),r:z,fill:R}).classed("spikeline",!0)}}}function B(t,e){return!e||e.vLinePoint!==t._spikepoints.vLinePoint||e.hLinePoint!==t._spikepoints.hLinePoint}function N(t,e){return c.plainText(t||"",{len:e,allowedTags:["br","sub","sup","b","i","em"]})}function j(t,e,r){var n=e[t+"a"],i=e[t+"Val"],a=e.cd[0];if("category"===n.type||"multicategory"===n.type)i=n._categoriesMap[i];else if("date"===n.type){var o=e.trace[t+"periodalignment"];if(o){var s=e.cd[e.index],l=s[t+"Start"];void 0===l&&(l=s[t]);var u=s[t+"End"];void 0===u&&(u=s[t]);var c=u-l;"end"===o?i+=c:"middle"===o&&(i+=c/2)}i=n.d2c(i)}return a&&a.t&&a.t.posLetter===n._id&&("group"!==r.boxmode&&"group"!==r.violinmode||(i+=a.t.dPos)),i}function U(t){return t.offsetTop+t.clientTop}function V(t){return t.offsetLeft+t.clientLeft}function q(t,e){var r=t._fullLayout,n=e.getBoundingClientRect(),i=n.left,a=n.top,s=i+n.width,l=a+n.height,u=o.apply3DTransform(r._invTransform)(i,a),c=o.apply3DTransform(r._invTransform)(s,l),f=u[0],h=u[1],p=c[0],d=c[1];return{x:f,y:h,width:p-f,height:d-h,top:Math.min(h,d),left:Math.min(f,p),right:Math.max(f,p),bottom:Math.max(h,d)}}},16132:function(t,e,r){"use strict";var n=r(3400),i=r(76308),a=r(10624).isUnifiedHover;t.exports=function(t,e,r,o){o=o||{};var s=e.legend;function 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n=r(33428),i=r(3400),a=r(86476),o=r(10624),s=r(65460),l=r(83292);t.exports={moduleType:"component",name:"fx",constants:r(92456),schema:{layout:s},attributes:r(55756),layoutAttributes:s,supplyLayoutGlobalDefaults:r(81976),supplyDefaults:r(95448),supplyLayoutDefaults:r(88336),calc:r(55056),getDistanceFunction:o.getDistanceFunction,getClosest:o.getClosest,inbox:o.inbox,quadrature:o.quadrature,appendArrayPointValue:o.appendArrayPointValue,castHoverOption:function(t,e,r){return i.castOption(t,e,"hoverlabel."+r)},castHoverinfo:function(t,e,r){return i.castOption(t,r,"hoverinfo",(function(r){return i.coerceHoverinfo({hoverinfo:r},{_module:t._module},e)}))},hover:l.hover,unhover:a.unhover,loneHover:l.loneHover,loneUnhover:function(t){var e=i.isD3Selection(t)?t:n.select(t);e.selectAll("g.hovertext").remove(),e.selectAll(".spikeline").remove()},click:r(62376)}},65460:function(t,e,r){"use strict";var n=r(92456),i=r(25376),a=i({editType:"none"});a.family.dflt=n.HOVERFONT,a.size.dflt=n.HOVERFONTSIZE,t.exports={clickmode:{valType:"flaglist",flags:["event","select"],dflt:"event",editType:"plot",extras:["none"]},dragmode:{valType:"enumerated",values:["zoom","pan","select","lasso","drawclosedpath","drawopenpath","drawline","drawrect","drawcircle","orbit","turntable",!1],dflt:"zoom",editType:"modebar"},hovermode:{valType:"enumerated",values:["x","y","closest",!1,"x unified","y 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n=r(25376),i=r(22548),a=r(92880).extendFlat,o=r(67824).overrideAll,s=r(66741),l=r(31780).templatedArray,u=l("button",{visible:{valType:"boolean"},method:{valType:"enumerated",values:["restyle","relayout","animate","update","skip"],dflt:"restyle"},args:{valType:"info_array",freeLength:!0,items:[{valType:"any"},{valType:"any"},{valType:"any"}]},args2:{valType:"info_array",freeLength:!0,items:[{valType:"any"},{valType:"any"},{valType:"any"}]},label:{valType:"string",dflt:""},execute:{valType:"boolean",dflt:!0}});t.exports=o(l("updatemenu",{_arrayAttrRegexps:[/^updatemenus\[(0|[1-9][0-9]+)\]\.buttons/],visible:{valType:"boolean"},type:{valType:"enumerated",values:["dropdown","buttons"],dflt:"dropdown"},direction:{valType:"enumerated",values:["left","right","up","down"],dflt:"down"},active:{valType:"integer",min:-1,dflt:0},showactive:{valType:"boolean",dflt:!0},buttons:u,x:{valType:"number",min:-2,max:3,dflt:-.05},xanchor:{valType:"enumerated",values:["auto","left","center","right"],dflt:"right"},y:{valType:"number",min:-2,max:3,dflt:1},yanchor:{valType:"enumerated",values:["auto","top","middle","bottom"],dflt:"top"},pad:a(s({editType:"arraydraw"}),{}),font:n({}),bgcolor:{valType:"color"},bordercolor:{valType:"color",dflt:i.borderLine},borderwidth:{valType:"number",min:0,dflt:1,editType:"arraydraw"}}),"arraydraw","from-root")},73712:function(t){"use 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r=t[i[e]];r.visible?(this.enabled[e]=r.showspikes,this.colors[e]=n(r.spikecolor),this.drawSides[e]=r.spikesides,this.lineWidth[e]=r.spikethickness):(this.enabled[e]=!1,this.drawSides[e]=!1)}},t.exports=function(t){var e=new a;return e.merge(t),e}},87152:function(t,e,r){"use strict";t.exports=function(t){for(var e=t.axesOptions,r=t.glplot.axesPixels,s=t.fullSceneLayout,l=[[],[],[]],u=0;u<3;++u){var c=s[a[u]];if(c._length=(r[u].hi-r[u].lo)*r[u].pixelsPerDataUnit/t.dataScale[u],Math.abs(c._length)===1/0||isNaN(c._length))l[u]=[];else{c._input_range=c.range.slice(),c.range[0]=r[u].lo/t.dataScale[u],c.range[1]=r[u].hi/t.dataScale[u],c._m=1/(t.dataScale[u]*r[u].pixelsPerDataUnit),c.range[0]===c.range[1]&&(c.range[0]-=1,c.range[1]+=1);var f=c.tickmode;if("auto"===c.tickmode){c.tickmode="linear";var h=c.nticks||i.constrain(c._length/40,4,9);n.autoTicks(c,Math.abs(c.range[1]-c.range[0])/h)}for(var p=n.calcTicks(c,{msUTC:!0}),d=0;d/g," 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e,r,s=this,u=s.isSmith,c=s.gd,f=s.layers,h=t._zoomlayer,p=S.MINZOOM,d=S.OFFEDGE,v=s.radius,x=s.innerRadius,T=s.cx,k=s.cy,A=s.cxx,M=s.cyy,L=s.sectorInRad,C=s.vangles,P=s.radialAxis,O=E.clampTiny,I=E.findXYatLength,D=E.findEnclosingVertexAngles,z=S.cornerHalfWidth,R=S.cornerLen/2,F=g.makeDragger(f,"path","maindrag",!1===t.dragmode?"none":"crosshair");n.select(F).attr("d",s.pathSubplot()).attr("transform",l(T,k)),F.onmousemove=function(t){m.hover(c,t,s.id),c._fullLayout._lasthover=F,c._fullLayout._hoversubplot=s.id},F.onmouseout=function(t){c._dragging||y.unhover(c,t)};var B,N,j,U,V,q,H,G,W,Y={element:F,gd:c,subplot:s.id,plotinfo:{id:s.id,xaxis:s.xaxis,yaxis:s.yaxis},xaxes:[s.xaxis],yaxes:[s.yaxis]};function X(t,e){return Math.sqrt(t*t+e*e)}function Z(t,e){return X(t-A,e-M)}function K(t,e){return Math.atan2(M-e,t-A)}function J(t,e){return[t*Math.cos(e),t*Math.sin(-e)]}function $(t,e){if(0===t)return s.pathSector(2*z);var 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0,"+(e<0?1:0)+" "+f+","+h].join(" ")},resistanceArc:function(t,a,o,s){var l=i(t,1/(a+1)),u=n(t,r([a,o])),c=u[0],f=u[1],h=n(t,r([a,s])),p=h[0],d=h[1];if(e(o)!==e(s)){var v=n(t,r([a,0]));return["M"+c+","+f,"A"+l+","+l+" 0 0,"+(00){for(var n=[],i=0;i=c&&(h.min=0,d.min=0,g.min=0,t.aaxis&&delete t.aaxis.min,t.baxis&&delete t.baxis.min,t.caxis&&delete t.caxis.min)}function v(t,e,r,n){var i=h[e._name];function o(r,n){return a.coerce(t,e,i,r,n)}o("uirevision",n.uirevision),e.type="linear";var p=o("color"),d=p!==i.color.dflt?p:r.font.color,v=e._name.charAt(0).toUpperCase(),g="Component 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n=r(33428),i=r(49760),a=r(24040),o=r(3400),s=o.strTranslate,l=o._,u=r(76308),c=r(43616),f=r(78344),h=r(92880).extendFlat,p=r(7316),d=r(54460),v=r(86476),g=r(93024),y=r(72760),m=y.freeMode,x=y.rectMode,b=r(81668),_=r(22676).prepSelect,w=r(22676).selectOnClick,T=r(22676).clearOutline,k=r(22676).clearSelectionsCache,A=r(33816);function M(t,e){this.id=t.id,this.graphDiv=t.graphDiv,this.init(e),this.makeFramework(e),this.aTickLayout=null,this.bTickLayout=null,this.cTickLayout=null}t.exports=M;var S=M.prototype;S.init=function(t){this.container=t._ternarylayer,this.defs=t._defs,this.layoutId=t._uid,this.traceHash={},this.layers={}},S.plot=function(t,e){var r=this,n=e[r.id],i=e._size;r._hasClipOnAxisFalse=!1;for(var a=0;aE*b?i=(a=b)*E:a=(i=x)/E,o=y*i/x,l=m*a/b,r=e.l+e.w*v-i/2,n=e.t+e.h*(1-g)-a/2,p.x0=r,p.y0=n,p.w=i,p.h=a,p.sum=_,p.xaxis={type:"linear",range:[w+2*k-_,_-w-2*T],domain:[v-o/2,v+o/2],_id:"x"},f(p.xaxis,p.graphDiv._fullLayout),p.xaxis.setScale(),p.xaxis.isPtWithinRange=function(t){return t.a>=p.aaxis.range[0]&&t.a<=p.aaxis.range[1]&&t.b>=p.baxis.range[1]&&t.b<=p.baxis.range[0]&&t.c>=p.caxis.range[1]&&t.c<=p.caxis.range[0]},p.yaxis={type:"linear",range:[w,_-T-k],domain:[g-l/2,g+l/2],_id:"y"},f(p.yaxis,p.graphDiv._fullLayout),p.yaxis.setScale(),p.yaxis.isPtWithinRange=function(){return!0};var A=p.yaxis.domain[0],M=p.aaxis=h({},t.aaxis,{range:[w,_-T-k],side:"left",tickangle:(+t.aaxis.tickangle||0)-30,domain:[A,A+l*E],anchor:"free",position:0,_id:"y",_length:i});f(M,p.graphDiv._fullLayout),M.setScale();var S=p.baxis=h({},t.baxis,{range:[_-w-k,T],side:"bottom",domain:p.xaxis.domain,anchor:"free",position:0,_id:"x",_length:i});f(S,p.graphDiv._fullLayout),S.setScale();var L=p.caxis=h({},t.caxis,{range:[_-w-T,k],side:"right",tickangle:(+t.caxis.tickangle||0)+30,domain:[A,A+l*E],anchor:"free",position:0,_id:"y",_length:i});f(L,p.graphDiv._fullLayout),L.setScale();var C="M"+r+","+(n+a)+"h"+i+"l-"+i/2+",-"+a+"Z";p.clipDef.select("path").attr("d",C),p.layers.plotbg.select("path").attr("d",C);var P="M0,"+a+"h"+i+"l-"+i/2+",-"+a+"Z";p.clipDefRelative.select("path").attr("d",P);var O=s(r,n);p.plotContainer.selectAll(".scatterlayer,.maplayer").attr("transform",O),p.clipDefRelative.select("path").attr("transform",null);var I=s(r-S._offset,n+a);p.layers.baxis.attr("transform",I),p.layers.bgrid.attr("transform",I);var D=s(r+i/2,n)+"rotate(30)"+s(0,-M._offset);p.layers.aaxis.attr("transform",D),p.layers.agrid.attr("transform",D);var 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O=f.selectAll("g.value-bullet").data([c.gauge.bar]);O.enter().append("g").classed("value-bullet",!0).append("rect"),O.select("rect").attr("height",M).attr("y",(A-M)/2).call(T),w(b)?O.select("rect").transition().duration(b.duration).ease(b.easing).each("end",(function(){_&&_()})).each("interrupt",(function(){_&&_()})).attr("width",Math.max(0,i.c2p(Math.min(c.gauge.axis.range[1],r[0].y)))):O.select("rect").attr("width","number"==typeof r[0].y?Math.max(0,i.c2p(Math.min(c.gauge.axis.range[1],r[0].y))):0),O.exit().remove();var I=r.filter((function(){return c.gauge.threshold.value||0===c.gauge.threshold.value})),D=f.selectAll("g.threshold-bullet").data(I);D.enter().append("g").classed("threshold-bullet",!0).append("line"),D.select("line").attr("x1",i.c2p(c.gauge.threshold.value)).attr("x2",i.c2p(c.gauge.threshold.value)).attr("y1",(1-c.gauge.threshold.thickness)/2*A).attr("y2",(1-(1-c.gauge.threshold.thickness)/2)*A).call(m.stroke,c.gauge.threshold.line.color).style("stroke-width",c.gauge.threshold.line.width),D.exit().remove();var z=f.selectAll("g.gauge-outline").data([g]);z.enter().append("g").classed("gauge-outline",!0).append("rect"),z.select("rect").call(L).call(T),z.exit().remove()}(t,0,e,{gauge:X,layer:Z,size:B,gaugeBg:C,gaugeOutline:P,transitionOpts:r,onComplete:g});var K=I.selectAll("text.title").data(e);K.exit().remove(),K.enter().append("text").classed("title",!0),K.attr("text-anchor",(function(){return R?x.right:x[O.title.align]})).text(O.title.text).call(f.font,O.title.font).call(p.convertToTspans,t),K.attr("transform",(function(){var t,e=B.l+B.w*b[O.title.align],r=h.titlePadding,n=f.bBox(K.node());return D?(z&&(t=O.gauge.axis.visible?f.bBox(Y.node()).top-r-n.bottom:B.t+B.h/2-U/2-n.bottom-r),R&&(t=E-(n.top+n.bottom)/2,e=B.l-h.bulletPadding*B.w)):t=O._numbersTop-r-n.bottom,l(e,t)}))}))}},50048:function(t,e,r){"use strict";var n=r(49084),i=r(29736).axisHoverFormat,a=r(21776).Ks,o=r(52948),s=r(45464),l=r(92880).extendFlat,u=r(67824).overrideAll,c=t.exports=u(l({x:{valType:"data_array"},y:{valType:"data_array"},z:{valType:"data_array"},value:{valType:"data_array"},isomin:{valType:"number"},isomax:{valType:"number"},surface:{show:{valType:"boolean",dflt:!0},count:{valType:"integer",dflt:2,min:1},fill:{valType:"number",min:0,max:1,dflt:1},pattern:{valType:"flaglist",flags:["A","B","C","D","E"],extras:["all","odd","even"],dflt:"all"}},spaceframe:{show:{valType:"boolean",dflt:!1},fill:{valType:"number",min:0,max:1,dflt:.15}},slices:{x:{show:{valType:"boolean",dflt:!1},locations:{valType:"data_array",dflt:[]},fill:{valType:"number",min:0,max:1,dflt:1}},y:{show:{valType:"boolean",dflt:!1},locations:{valType:"data_array",dflt:[]},fill:{valType:"number",min:0,max:1,dflt:1}},z:{show:{valType:"boolean",dflt:!1},locations:{valType:"data_array",dflt:[]},fill:{valType:"number",min:0,max:1,dflt:1}}},caps:{x:{show:{valType:"boolean",dflt:!0},fill:{valType:"number",min:0,max:1,dflt:1}},y:{show:{valType:"boolean",dflt:!0},fill:{valType:"number",min:0,max:1,dflt:1}},z:{show:{valType:"boolean",dflt:!0},fill:{valType:"number",min:0,max:1,dflt:1}}},text:{valType:"string",dflt:"",arrayOk:!0},hovertext:{valType:"string",dflt:"",arrayOk:!0},hovertemplate:a(),xhoverformat:i("x"),yhoverformat:i("y"),zhoverformat:i("z"),valuehoverformat:i("value",1),showlegend:l({},s.showlegend,{dflt:!1})},n("",{colorAttr:"`value`",showScaleDflt:!0,editTypeOverride:"calc"}),{opacity:o.opacity,lightposition:o.lightposition,lighting:o.lighting,flatshading:o.flatshading,contour:o.contour,hoverinfo:l({},s.hoverinfo)}),"calc","nested");c.flatshading.dflt=!0,c.lighting.facenormalsepsilon.dflt=0,c.x.editType=c.y.editType=c.z.editType=c.value.editType="calc+clearAxisTypes",c.transforms=void 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v=t.caps[r];v.show&&v.fill&&(D(v.fill),n[a]="x"===r?K(e,[0,b-1],o,s,n[a]):"y"===r?J(e,[0,_-1],o,s,n[a]):$(e,[0,w-1],o,s,n[a]),a++)}})),0===g&&P(),t._meshX=n,t._meshY=i,t._meshZ=a,t._meshIntensity=o,t._Xs=y,t._Ys=m,t._Zs=x}(),t}t.exports={findNearestOnAxis:u,generateIsoMeshes:p,createIsosurfaceTrace:function(t,e){var r=t.glplot.gl,i=n({gl:r}),a=new c(t,i,e.uid);return i._trace=a,a.update(e),t.glplot.add(i),a}}},70548:function(t,e,r){"use strict";var n=r(3400),i=r(24040),a=r(50048),o=r(27260);function s(t,e,r,n,a){var s=a("isomin"),l=a("isomax");null!=l&&null!=s&&s>l&&(e.isomin=null,e.isomax=null);var u=a("x"),c=a("y"),f=a("z"),h=a("value");u&&u.length&&c&&c.length&&f&&f.length&&h&&h.length?(i.getComponentMethod("calendars","handleTraceDefaults")(t,e,["x","y","z"],n),a("valuehoverformat"),["x","y","z"].forEach((function(t){a(t+"hoverformat");var e="caps."+t;a(e+".show")&&a(e+".fill");var 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n=r(49084),i=r(29736).axisHoverFormat,a=r(21776).Ks,o=r(16716),s=r(45464),l=r(92880).extendFlat;t.exports=l({x:{valType:"data_array",editType:"calc+clearAxisTypes"},y:{valType:"data_array",editType:"calc+clearAxisTypes"},z:{valType:"data_array",editType:"calc+clearAxisTypes"},i:{valType:"data_array",editType:"calc"},j:{valType:"data_array",editType:"calc"},k:{valType:"data_array",editType:"calc"},text:{valType:"string",dflt:"",arrayOk:!0,editType:"calc"},hovertext:{valType:"string",dflt:"",arrayOk:!0,editType:"calc"},hovertemplate:a({editType:"calc"}),xhoverformat:i("x"),yhoverformat:i("y"),zhoverformat:i("z"),delaunayaxis:{valType:"enumerated",values:["x","y","z"],dflt:"z",editType:"calc"},alphahull:{valType:"number",dflt:-1,editType:"calc"},intensity:{valType:"data_array",editType:"calc"},intensitymode:{valType:"enumerated",values:["vertex","cell"],dflt:"vertex",editType:"calc"},color:{valType:"color",editType:"calc"},vertexcolor:{valType:"data_array",editType:"calc"},facecolor:{valType:"data_array",editType:"calc"},transforms:void 0},n("",{colorAttr:"`intensity`",showScaleDflt:!0,editTypeOverride:"calc"}),{opacity:o.opacity,flatshading:{valType:"boolean",dflt:!1,editType:"calc"},contour:{show:l({},o.contours.x.show,{}),color:o.contours.x.color,width:o.contours.x.width,editType:"calc"},lightposition:{x:l({},o.lightposition.x,{dflt:1e5}),y:l({},o.lightposition.y,{dflt:1e5}),z:l({},o.lightposition.z,{dflt:0}),editType:"calc"},lighting:l({vertexnormalsepsilon:{valType:"number",min:0,max:1,dflt:1e-12,editType:"calc"},facenormalsepsilon:{valType:"number",min:0,max:1,dflt:1e-6,editType:"calc"},editType:"calc"},o.lighting),hoverinfo:l({},s.hoverinfo,{editType:"calc"}),showlegend:l({},s.showlegend,{dflt:!1})})},1876:function(t,e,r){"use strict";var n=r(47128);t.exports=function(t,e){e.intensity&&n(t,e,{vals:e.intensity,containerStr:"",cLetter:"c"})}},576:function(t,e,r){"use strict";var n=r(67792).gl_mesh3d,i=r(67792).delaunay_triangulate,a=r(67792).alpha_shape,o=r(67792).convex_hull,s=r(33040).parseColorScale,l=r(3400).isArrayOrTypedArray,u=r(43080),c=r(8932).extractOpts,f=r(52094);function h(t,e,r){this.scene=t,this.uid=r,this.mesh=e,this.name="",this.color="#fff",this.data=null,this.showContour=!1}var p=h.prototype;function d(t){for(var e=[],r=t.length,n=0;n=e-.5)return!1;return!0}p.handlePick=function(t){if(t.object===this.mesh){var e=t.index=t.data.index;t.data._cellCenter?t.traceCoordinate=t.data.dataCoordinate:t.traceCoordinate=[this.data.x[e],this.data.y[e],this.data.z[e]];var r=this.data.hovertext||this.data.text;return l(r)&&void 0!==r[e]?t.textLabel=r[e]:r&&(t.textLabel=r),!0}},p.update=function(t){var e=this.scene,r=e.fullSceneLayout;this.data=t;var n,l=t.x.length,h=f(v(r.xaxis,t.x,e.dataScale[0],t.xcalendar),v(r.yaxis,t.y,e.dataScale[1],t.ycalendar),v(r.zaxis,t.z,e.dataScale[2],t.zcalendar));if(t.i&&t.j&&t.k){if(t.i.length!==t.j.length||t.j.length!==t.k.length||!y(t.i,l)||!y(t.j,l)||!y(t.k,l))return;n=f(g(t.i),g(t.j),g(t.k))}else n=0===t.alphahull?o(h):t.alphahull>0?a(t.alphahull,h):function(t,e){for(var r=["x","y","z"].indexOf(t),n=[],a=e.length,o=0;oy):g=A>w,y=A;var M=u(w,T,k,A);M.pos=_,M.yc=(w+A)/2,M.i=b,M.dir=g?"increasing":"decreasing",M.x=M.pos,M.y=[k,T],m&&(M.orig_p=r[b]),d&&(M.tx=e.text[b]),v&&(M.htx=e.hovertext[b]),x.push(M)}else x.push({pos:_,empty:!0})}return e._extremes[l._id]=a.findExtremes(l,n.concat(h,f),{padded:!0}),x.length&&(x[0].t={labels:{open:i(t,"open:")+" ",high:i(t,"high:")+" ",low:i(t,"low:")+" ",close:i(t,"close:")+" "}}),x}t.exports={calc:function(t,e){var r=a.getFromId(t,e.xaxis),i=a.getFromId(t,e.yaxis),s=function(t,e,r){var i=r._minDiff;if(!i){var 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t.width})).attr("height",(function(t){return t.height})).attr("y",(function(t){return t.y})).attr("cursor",(function(t){return"fixed"===t.parcatsViewModel.arrangement?"default":"perpendicular"===t.parcatsViewModel.arrangement?"ns-resize":"move"})),k(D),E.exit().remove(),S.append("text").attr("class","catlabel").attr("pointer-events","none");var z=e._fullLayout.paper_bgcolor;M.select("text.catlabel").attr("text-anchor",(function(t){return d(t)?"start":"end"})).attr("alignment-baseline","middle").style("text-shadow",f.makeTextShadow(z)).style("fill","rgb(0, 0, 0)").attr("x",(function(t){return d(t)?t.width+5:-5})).attr("y",(function(t){return t.height/2})).text((function(t){return 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0,a.clickableOrdinalRange?r.filterSpecified&&e.multiselect?a.extent.push(a.clickableOrdinalRange):(a.extent=[a.clickableOrdinalRange],r.filterSpecified=!0):o?(a.extent=a.stayingIntervals,0===a.extent.length&&M(r)):M(r),a.brushCallback(e),b(t.parentNode),void a.brushEndCallback(r.filterSpecified?n.getConsolidated():[]);var s=function(){n.set(n.getConsolidated())};if(e.ordinal){var l=e.unitTickvals;l[l.length-1]a.newExtent[0];a.extent=a.stayingIntervals.concat(u?[a.newExtent]:[]),a.extent.length||M(r),a.brushCallback(e),u?b(t.parentNode,s):(s(),b(t.parentNode))}else s();a.brushEndCallback(r.filterSpecified?n.getConsolidated():[])}(this,t)})))}function A(t,e){return t[0]-e[0]}function M(t){t.filterSpecified=!1,t.svgBrush.extent=[[-1/0,1/0]]}function S(t){for(var e,r=t.slice(),n=[],i=r.shift();i;){for(e=i.slice();(i=r.shift())&&i[0]<=e[1];)e[1]=Math.max(e[1],i[1]);n.push(e)}return 1===n.length&&n[0][0]>n[0][1]&&(n=[]),n}t.exports={makeBrush:function(t,e,r,n,i,a){var o,l=function(){var t,e,r=[];return{set:function(n){1===(r=n.map((function(t){return t.slice().sort(s)})).sort(A)).length&&r[0][0]===-1/0&&r[0][1]===1/0&&(r=[[0,-1]]),t=S(r),e=r.reduce((function(t,e){return[Math.min(t[0],e[0]),Math.max(t[1],e[1])]}),[1/0,-1/0])},get:function(){return r.slice()},getConsolidated:function(){return t},getBounds:function(){return e}}}();return l.set(r),{filter:l,filterSpecified:e,svgBrush:{extent:[],brushStartCallback:n,brushCallback:(o=i,function(t){var e=t.brush,r=function(t){return t.svgBrush.extent.map((function(t){return t.slice()}))}(e),n=r.slice();e.filter.set(n),o()}),brushEndCallback:a}}},ensureAxisBrush:function(t,e,r){var i=t.selectAll("."+n.cn.axisBrush).data(o,a);i.enter().append("g").classed(n.cn.axisBrush,!0),function(t,e,r){var i=r._context.staticPlot,a=t.selectAll(".background").data(o);a.enter().append("rect").classed("background",!0).call(d).call(v).style("pointer-events",i?"none":"auto").attr("transform",l(0,n.verticalPadding)),a.call(k).attr("height",(function(t){return t.height-n.verticalPadding}));var s=t.selectAll(".highlight-shadow").data(o);s.enter().append("line").classed("highlight-shadow",!0).attr("x",-n.bar.width/2).attr("stroke-width",n.bar.width+n.bar.strokeWidth).attr("stroke",e).attr("opacity",n.bar.strokeOpacity).attr("stroke-linecap","butt"),s.attr("y1",(function(t){return t.height})).call(x);var u=t.selectAll(".highlight").data(o);u.enter().append("line").classed("highlight",!0).attr("x",-n.bar.width/2).attr("stroke-width",n.bar.width-n.bar.strokeWidth).attr("stroke",n.bar.fillColor).attr("opacity",n.bar.fillOpacity).attr("stroke-linecap","butt"),u.attr("y1",(function(t){return t.height})).call(x)}(i,e,r)},cleanRanges:function(t,e){if(Array.isArray(t[0])?(t=t.map((function(t){return t.sort(s)})),t=e.multiselect?S(t.sort(A)):[t[0]]):t=[t.sort(s)],e.tickvals){var r=e.tickvals.slice().sort(s);if(!(t=t.map((function(t){var e=[p(0,r,t[0],[]),p(1,r,t[1],[])];if(e[1]>e[0])return e})).filter((function(t){return t}))).length)return}return t.length>1?t:t[0]}}},61664:function(t,e,r){"use strict";t.exports={attributes:r(82296),supplyDefaults:r(60664),calc:r(95044),colorbar:{container:"line",min:"cmin",max:"cmax"},moduleType:"trace",name:"parcoords",basePlotModule:r(19976),categories:["gl","regl","noOpacity","noHover"],meta:{}}},19976:function(t,e,r){"use strict";var n=r(33428),i=r(84888)._M,a=r(24196),o=r(9616);e.name="parcoords",e.plot=function(t){var e=i(t.calcdata,"parcoords")[0];e.length&&a(t,e)},e.clean=function(t,e,r,n){var i=n._has&&n._has("parcoords"),a=e._has&&e._has("parcoords");i&&!a&&(n._paperdiv.selectAll(".parcoords").remove(),n._glimages.selectAll("*").remove())},e.toSVG=function(t){var e=t._fullLayout._glimages,r=n.select(t).selectAll(".svg-container");r.filter((function(t,e){return e===r.size()-1})).selectAll(".gl-canvas-context, .gl-canvas-focus").each((function(){var t=this,r=t.toDataURL("image/png");e.append("svg:image").attr({xmlns:o.svg,"xlink:href":r,preserveAspectRatio:"none",x:0,y:0,width:t.style.width,height:t.style.height})})),window.setTimeout((function(){n.selectAll("#filterBarPattern").attr("id","filterBarPattern")}),60)}},95044:function(t,e,r){"use strict";var n=r(3400).isArrayOrTypedArray,i=r(8932),a=r(71688).wrap;t.exports=function(t,e){var r,o;return i.hasColorscale(e,"line")&&n(e.line.color)?(r=e.line.color,o=i.extractOpts(e.line).colorscale,i.calc(t,e,{vals:r,containerStr:"line",cLetter:"c"})):(r=function(t){for(var e=new Array(t),r=0;rf&&(n.log("parcoords traces support up to "+f+" dimensions at the moment"),d.splice(f));var v=s(t,e,{name:"dimensions",layout:l,handleItemDefaults:p}),g=function(t,e,r,o,s){var 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U=j.selectAll("."+x.cn.parcoordsControlView).data(g,v);U.enter().append("g").classed(x.cn.parcoordsControlView,!0),U.attr("transform",(function(t){return c(t.model.pad.l,t.model.pad.t)}));var V=U.selectAll("."+x.cn.yAxis).data((function(t){return t.dimensions}),v);V.enter().append("g").classed(x.cn.yAxis,!0),U.each((function(t){D(V,t,w)})),B.each((function(t){if(t.viewModel){!t.lineLayer||a?t.lineLayer=_(this,t):t.lineLayer.update(t),(t.key||0===t.key)&&(t.viewModel[t.key]=t.lineLayer);var e=!t.context||a;t.lineLayer.render(t.viewModel.panels,e)}})),V.attr("transform",(function(t){return c(t.xScale(t.xIndex),0)})),V.call(n.behavior.drag().origin((function(t){return t})).on("drag",(function(t){var e=t.parent;E.linePickActive(!1),t.x=Math.max(-x.overdrag,Math.min(t.model.width+x.overdrag,n.event.x)),t.canvasX=t.x*t.model.canvasPixelRatio,V.sort((function(t,e){return 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Z=X.selectAll("."+x.cn.axisExtentTopText).data(g,v);Z.enter().append("text").classed(x.cn.axisExtentTopText,!0).call(O),Z.text((function(t){return R(t,!0)})).each((function(t){h.font(n.select(this),t.model.rangeFont)}));var K=Y.selectAll("."+x.cn.axisExtentBottom).data(g,v);K.enter().append("g").classed(x.cn.axisExtentBottom,!0),K.attr("transform",(function(t){return c(0,t.model.height+x.axisExtentOffset)}));var J=K.selectAll("."+x.cn.axisExtentBottomText).data(g,v);J.enter().append("text").classed(x.cn.axisExtentBottomText,!0).attr("dy","0.75em").call(O),J.text((function(t){return R(t,!1)})).each((function(t){h.font(n.select(this),t.model.rangeFont)})),b.ensureAxisBrush(q,k,t)}},24196:function(t,e,r){"use strict";var n=r(36336),i=r(5048),a=r(95724).isVisible,o={};function s(t,e,r){var n=e.indexOf(r),i=t.indexOf(n);return-1===i&&(i+=e.length),i}(t.exports=function(t,e){var r=t._fullLayout;if(i(t,[],o)){var l={},u={},c={},f={},h=r._size;e.forEach((function(e,r){var 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n=r(45464),i=r(86968).u,a=r(25376),o=r(22548),s=r(21776).Ks,l=r(21776).Gw,u=r(92880).extendFlat,c=r(98192).c,f=a({editType:"plot",arrayOk:!0,colorEditType:"plot"});t.exports={labels:{valType:"data_array",editType:"calc"},label0:{valType:"number",dflt:0,editType:"calc"},dlabel:{valType:"number",dflt:1,editType:"calc"},values:{valType:"data_array",editType:"calc"},marker:{colors:{valType:"data_array",editType:"calc"},line:{color:{valType:"color",dflt:o.defaultLine,arrayOk:!0,editType:"style"},width:{valType:"number",min:0,dflt:0,arrayOk:!0,editType:"style"},editType:"calc"},pattern:c,editType:"calc"},text:{valType:"data_array",editType:"plot"},hovertext:{valType:"string",dflt:"",arrayOk:!0,editType:"style"},scalegroup:{valType:"string",dflt:"",editType:"calc"},textinfo:{valType:"flaglist",flags:["label","text","value","percent"],extras:["none"],editType:"calc"},hoverinfo:u({},n.hoverinfo,{flags:["label","text","value","percent","name"]}),hovertemplate:s({},{keys:["label","color","value","percent","text"]}),texttemplate:l({editType:"plot"},{keys:["label","color","value","percent","text"]}),textposition:{valType:"enumerated",values:["inside","outside","auto","none"],dflt:"auto",arrayOk:!0,editType:"plot"},textfont:u({},f,{}),insidetextorientation:{valType:"enumerated",values:["horizontal","radial","tangential","auto"],dflt:"auto",editType:"plot"},insidetextfont:u({},f,{}),outsidetextfont:u({},f,{}),automargin:{valType:"boolean",dflt:!1,editType:"plot"},title:{text:{valType:"string",dflt:"",editType:"plot"},font:u({},f,{}),position:{valType:"enumerated",values:["top 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n=r(38248),i=r(49760),a=r(76308),o={};function s(t){return function(e,r){return!!e&&!!(e=i(e)).isValid()&&(e=a.addOpacity(e,e.getAlpha()),t[r]||(t[r]=e),e)}}function l(t,e){var r,n=JSON.stringify(t),a=e[n];if(!a){for(a=t.slice(),r=0;r=0})),("funnelarea"===e.type?y:e.sort)&&a.sort((function(t,e){return e.v-t.v})),a[0]&&(a[0].vTotal=g),a},crossTraceCalc:function(t,e){var r=(e||{}).type;r||(r="pie");var n=t._fullLayout,i=t.calcdata,a=n[r+"colorway"],s=n["_"+r+"colormap"];n["extend"+r+"colors"]&&(a=l(a,o));for(var u=0,c=0;c0){s=!0;break}}s||(o=0)}return{hasLabels:r,hasValues:a,len:o}}function c(t,e,r,n,i){n("marker.line.width")&&n("marker.line.color",i?void 0:r.paper_bgcolor);var a=n("marker.colors");l(n,"marker.pattern",a),t.marker&&!e.marker.pattern.fgcolor&&(e.marker.pattern.fgcolor=t.marker.colors),e.marker.pattern.bgcolor||(e.marker.pattern.bgcolor=r.paper_bgcolor)}t.exports={handleLabelsAndValues:u,handleMarkerDefaults:c,supplyDefaults:function(t,e,r,n){function l(r,n){return i.coerce(t,e,a,r,n)}var f=u(l("labels"),l("values")),h=f.len;if(e._hasLabels=f.hasLabels,e._hasValues=f.hasValues,!e._hasLabels&&e._hasValues&&(l("label0"),l("dlabel")),h){e._length=h,c(t,e,n,l,!0),l("scalegroup");var p,d=l("text"),v=l("texttemplate");if(v||(p=l("textinfo",i.isArrayOrTypedArray(d)?"text+percent":"percent")),l("hovertext"),l("hovertemplate"),v||p&&"none"!==p){var g=l("textposition");s(t,e,n,l,g,{moduleHasSelected:!1,moduleHasUnselected:!1,moduleHasConstrain:!1,moduleHasCliponaxis:!1,moduleHasTextangle:!1,moduleHasInsideanchor:!1}),(Array.isArray(g)||"auto"===g||"outside"===g)&&l("automargin"),("inside"===g||"auto"===g||Array.isArray(g))&&l("insidetextorientation")}o(e,n,l);var y=l("hole");if(l("title.text")){var m=l("title.position",y?"middle center":"top center");y||"middle center"!==m||(e.title.position="top center"),i.coerceFont(l,"title.font",n.font)}l("sort"),l("direction"),l("rotation"),l("pull")}else e.visible=!1}}},53644:function(t,e,r){"use strict";var n=r(10624).appendArrayMultiPointValues;t.exports=function(t,e){var r={curveNumber:e.index,pointNumbers:t.pts,data:e._input,fullData:e,label:t.label,color:t.color,value:t.v,percent:t.percent,text:t.text,bbox:t.bbox,v:t.v};return 1===t.pts.length&&(r.pointNumber=r.i=t.pts[0]),n(r,e,t.pts),"funnelarea"===e.type&&(delete r.v,delete r.i),r}},21552:function(t,e,r){"use strict";var n=r(43616),i=r(76308);t.exports=function(t,e,r,a){var o=r.marker.pattern;o&&o.shape?n.pointStyle(t,r,a,e):i.fill(t,e.color)}},69656:function(t,e,r){"use strict";var n=r(3400);function i(t){return-1!==t.indexOf("e")?t.replace(/[.]?0+e/,"e"):-1!==t.indexOf(".")?t.replace(/[.]?0+$/,""):t}e.formatPiePercent=function(t,e){var r=i((100*t).toPrecision(3));return n.numSeparate(r,e)+"%"},e.formatPieValue=function(t,e){var r=i(t.toPrecision(10));return n.numSeparate(r,e)},e.getFirstFilled=function(t,e){if(n.isArrayOrTypedArray(t))for(var r=0;r"),name:f.hovertemplate||-1!==h.indexOf("name")?f.name:void 0,idealAlign:t.pxmid[0]<0?"left":"right",color:g.castOption(_.bgcolor,t.pts)||t.color,borderColor:g.castOption(_.bordercolor,t.pts),fontFamily:g.castOption(w.family,t.pts),fontSize:g.castOption(w.size,t.pts),fontColor:g.castOption(w.color,t.pts),nameLength:g.castOption(_.namelength,t.pts),textAlign:g.castOption(_.align,t.pts),hovertemplate:g.castOption(f.hovertemplate,t.pts),hovertemplateLabels:t,eventData:[y(t,f)]},{container:r._hoverlayer.node(),outerContainer:r._paper.node(),gd:e,inOut_bbox:T}),t.bbox=T[0],u._hasHoverLabel=!0}u._hasHoverEvent=!0,e.emit("plotly_hover",{points:[y(t,f)],event:n.event})}})),t.on("mouseout",(function(t){var r=e._fullLayout,i=e._fullData[u.index],o=n.select(this).datum();u._hasHoverEvent&&(t.originalEvent=n.event,e.emit("plotly_unhover",{points:[y(o,i)],event:n.event}),u._hasHoverEvent=!1),u._hasHoverLabel&&(a.loneUnhover(r._hoverlayer.node()),u._hasHoverLabel=!1)})),t.on("click",(function(t){var r=e._fullLayout,i=e._fullData[u.index];e._dragging||!1===r.hovermode||(e._hoverdata=[y(t,i)],a.click(e,n.event))}))}function b(t,e,r){var n=g.castOption(t.insidetextfont.color,e.pts);!n&&t._input.textfont&&(n=g.castOption(t._input.textfont.color,e.pts));var i=g.castOption(t.insidetextfont.family,e.pts)||g.castOption(t.textfont.family,e.pts)||r.family,a=g.castOption(t.insidetextfont.size,e.pts)||g.castOption(t.textfont.size,e.pts)||r.size;return{color:n||o.contrast(e.color),family:i,size:a}}function _(t,e){for(var r,n,i=0;ie&&e>n||r=-4;g-=2)y(Math.PI*g,"tan");for(g=4;g>=-4;g-=2)y(Math.PI*(g+1),"tan")}if(f||p){for(g=4;g>=-4;g-=2)y(Math.PI*(g+1.5),"rad");for(g=4;g>=-4;g-=2)y(Math.PI*(g+.5),"rad")}}if(s||d||f){var m=Math.sqrt(t.width*t.width+t.height*t.height);if((a={scale:i*n*2/m,rCenter:1-i,rotate:0}).textPosAngle=(e.startangle+e.stopangle)/2,a.scale>=1)return a;v.push(a)}(d||p)&&((a=T(t,n,o,l,u)).textPosAngle=(e.startangle+e.stopangle)/2,v.push(a)),(d||h)&&((a=k(t,n,o,l,u)).textPosAngle=(e.startangle+e.stopangle)/2,v.push(a));for(var x=0,b=0,_=0;_=1)break}return v[x]}function T(t,e,r,n,i){e=Math.max(0,e-2*v);var a=t.width/t.height,o=S(a,n,e,r);return{scale:2*o/t.height,rCenter:A(a,o/e),rotate:M(i)}}function k(t,e,r,n,i){e=Math.max(0,e-2*v);var a=t.height/t.width,o=S(a,n,e,r);return{scale:2*o/t.width,rCenter:A(a,o/e),rotate:M(i+Math.PI/2)}}function A(t,e){return Math.cos(e)-t*e}function M(t){return(180/Math.PI*t+720)%180-90}function S(t,e,r,n){var i=t+1/(2*Math.tan(e));return r*Math.min(1/(Math.sqrt(i*i+.5)+i),n/(Math.sqrt(t*t+n/2)+t))}function E(t,e){return t.v!==e.vTotal||e.trace.hole?Math.min(1/(1+1/Math.sin(t.halfangle)),t.ring/2):1}function L(t,e){var r=e.pxmid[0],n=e.pxmid[1],i=t.width/2,a=t.height/2;return r<0&&(i*=-1),n<0&&(a*=-1),{scale:1,rCenter:1,rotate:0,x:i+Math.abs(a)*(i>0?1:-1)/2,y:a/(1+r*r/(n*n)),outside:!0}}function C(t,e){var r,n,i,a=t.trace,o={x:t.cx,y:t.cy},s={tx:0,ty:0};s.ty+=a.title.font.size,i=O(a),-1!==a.title.position.indexOf("top")?(o.y-=(1+i)*t.r,s.ty-=t.titleBox.height):-1!==a.title.position.indexOf("bottom")&&(o.y+=(1+i)*t.r);var l,u=t.r/(void 0===(l=t.trace.aspectratio)?1:l),c=e.w*(a.domain.x[1]-a.domain.x[0])/2;return-1!==a.title.position.indexOf("left")?(c+=u,o.x-=(1+i)*u,s.tx+=t.titleBox.width/2):-1!==a.title.position.indexOf("center")?c*=2:-1!==a.title.position.indexOf("right")&&(c+=u,o.x+=(1+i)*u,s.tx-=t.titleBox.width/2),r=c/t.titleBox.width,n=P(t,e)/t.titleBox.height,{x:o.x,y:o.y,scale:Math.min(r,n),tx:s.tx,ty:s.ty}}function P(t,e){var r=t.trace,n=e.h*(r.domain.y[1]-r.domain.y[0]);return Math.min(t.titleBox.height,n/2)}function O(t){var e,r=t.pull;if(!r)return 0;if(l.isArrayOrTypedArray(r))for(r=0,e=0;er&&(r=t.pull[e]);return r}function I(t,e){for(var r=[],n=0;n1?c=(u=r.r)/i.aspectratio:u=(c=r.r)*i.aspectratio,l=(u*=(1+i.baseratio)/2)*c}o=Math.min(o,l/r.vTotal)}for(n=0;n")}if(a){var x=l.castOption(i,e.i,"texttemplate");if(x){var b=function(t){return{label:t.label,value:t.v,valueLabel:g.formatPieValue(t.v,n.separators),percent:t.v/r.vTotal,percentLabel:g.formatPiePercent(t.v/r.vTotal,n.separators),color:t.color,text:t.text,customdata:l.castOption(i,t.i,"customdata")}}(e),_=g.getFirstFilled(i.text,e.pts);(m(_)||""===_)&&(b.text=_),e.text=l.texttemplateString(x,b,t._fullLayout._d3locale,b,i._meta||{})}else e.text=""}}function R(t,e){var r=t.rotate*Math.PI/180,n=Math.cos(r),i=Math.sin(r),a=(e.left+e.right)/2,o=(e.top+e.bottom)/2;t.textX=a*n-o*i,t.textY=a*i+o*n,t.noCenter=!0}t.exports={plot:function(t,e){var r=t._context.staticPlot,a=t._fullLayout,h=a._size;d("pie",a),_(e,t),I(e,h);var v=l.makeTraceGroups(a._pielayer,e,"trace").each((function(e){var d=n.select(this),v=e[0],y=v.trace;!function(t){var 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A="M"+(u+i.px0[0])+","+(c+i.px0[1])+P(i.px0,i.pxmid,!0,1)+P(i.pxmid,i.px0,!0,1)+"Z";k?d.attr("d","M"+(u+k*i.px0[0])+","+(c+k*i.px0[1])+P(i.px0,i.pxmid,!1,k)+P(i.pxmid,i.px0,!1,k)+"Z"+A):d.attr("d",A)}else{var M=P(i.px0,i.px1,!0,1);if(k){var S=1-k;d.attr("d","M"+(u+k*i.px1[0])+","+(c+k*i.px1[1])+P(i.px1,i.px0,!1,k)+"l"+S*i.px0[0]+","+S*i.px0[1]+M+"Z")}else d.attr("d","M"+u+","+c+"l"+i.px0[0]+","+i.px0[1]+M+"Z")}z(t,i,v);var E=g.castOption(y.textposition,i.pts),C=h.selectAll("g.slicetext").data(i.text&&"none"!==E?[0]:[]);C.enter().append("g").classed("slicetext",!0),C.exit().remove(),C.each((function(){var r=l.ensureSingle(n.select(this),"text","",(function(t){t.attr("data-notex",1)})),h=l.ensureUniformFontSize(t,"outside"===E?function(t,e,r){return{color:g.castOption(t.outsidetextfont.color,e.pts)||g.castOption(t.textfont.color,e.pts)||r.color,family:g.castOption(t.outsidetextfont.family,e.pts)||g.castOption(t.textfont.family,e.pts)||r.family,size:g.castOption(t.outsidetextfont.size,e.pts)||g.castOption(t.textfont.size,e.pts)||r.size}}(y,i,a.font):b(y,i,a.font));r.text(i.text).attr({class:"slicetext",transform:"","text-anchor":"middle"}).call(s.font,h).call(f.convertToTspans,t);var d,m=s.bBox(r.node());if("outside"===E)d=L(m,i);else if(d=w(m,i,v),"auto"===E&&d.scale<1){var x=l.ensureUniformFontSize(t,y.outsidetextfont);r.call(s.font,x),d=L(m=s.bBox(r.node()),i)}var _=d.textPosAngle,k=void 0===_?i.pxmid:D(v.r,_);if(d.targetX=u+k[0]*d.rCenter+(d.x||0),d.targetY=c+k[1]*d.rCenter+(d.y||0),R(d,m),d.outside){var 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e=Math.sqrt(t.titleBox.width*t.titleBox.width+t.titleBox.height*t.titleBox.height);return{x:t.cx,y:t.cy,scale:t.trace.hole*t.r*2/e,tx:0,ty:-t.titleBox.height/2+t.trace.title.font.size}}(v):C(v,h),r.attr("transform",c(e.x,e.y)+u(Math.min(1,e.scale))+c(e.tx,e.ty))})),T&&function(t,e){var r,n,i,a,o,s,u,c,f,h,p,d,v;function y(t,e){return t.pxmid[1]-e.pxmid[1]}function m(t,e){return e.pxmid[1]-t.pxmid[1]}function x(t,r){r||(r={});var 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R=m.selectBatch[O]=s.selIndices2selPoints(C),F={};for(g=0;g")}function c(t){return t+"°"}}t.exports={hoverPoints:function(t,e,r){var o=t.cd,c=o[0].trace,f=t.xa,h=t.ya,p=t.subplot,d=[],v=l+c.uid+"-circle",g=c.cluster&&c.cluster.enabled;if(g){var y=p.map.queryRenderedFeatures(null,{layers:[v]});d=y.map((function(t){return t.id}))}var m=360*(e>=0?Math.floor((e+180)/360):Math.ceil((e-180)/360)),x=e-m;if(n.getClosest(o,(function(t){var e=t.lonlat;if(e[0]===s)return 1/0;if(g&&-1===d.indexOf(t.i+1))return 1/0;var n=i.modHalf(e[0],360),a=e[1],o=p.project([n,a]),l=o.x-f.c2p([x,a]),u=o.y-h.c2p([n,r]),c=Math.max(3,t.mrc||0);return Math.max(Math.sqrt(l*l+u*u)-c,1-3/c)}),t),!1!==t.index){var b=o[t.index],_=b.lonlat,w=[i.modHalf(_[0],360)+m,_[1]],T=f.c2p(w),k=h.c2p(w),A=b.mrc||1;t.x0=T-A,t.x1=T+A,t.y0=k-A,t.y1=k+A;var M={};M[c.subplot]={_subplot:p};var S=c._module.formatLabels(b,c,M);return 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s(t,e,r,n){this.type="scattermapbox",this.subplot=t,this.uid=e,this.clusterEnabled=r,this.isHidden=n,this.sourceIds={fill:"source-"+e+"-fill",line:"source-"+e+"-line",circle:"source-"+e+"-circle",symbol:"source-"+e+"-symbol",cluster:"source-"+e+"-circle",clusterCount:"source-"+e+"-circle"},this.layerIds={fill:a+e+"-fill",line:a+e+"-line",circle:a+e+"-circle",symbol:a+e+"-symbol",cluster:a+e+"-cluster",clusterCount:a+e+"-cluster-count"},this.below=null}var l=s.prototype;l.addSource=function(t,e,r){var i={type:"geojson",data:e.geojson};r&&r.enabled&&n.extendFlat(i,{cluster:!0,clusterMaxZoom:r.maxzoom});var a=this.subplot.map.getSource(this.sourceIds[t]);a?a.setData(e.geojson):this.subplot.map.addSource(this.sourceIds[t],i)},l.setSourceData=function(t,e){this.subplot.map.getSource(this.sourceIds[t]).setData(e.geojson)},l.addLayer=function(t,e,r){var n={type:e.type,id:this.layerIds[t],source:this.sourceIds[t],layout:e.layout,paint:e.paint};e.filter&&(n.filter=e.filter);for(var i,a=this.layerIds[t],o=this.subplot.getMapLayers(),s=0;s=0;r--){var i=e[r];n.removeLayer(c.layerIds[i])}t||n.removeSource(c.sourceIds.circle)}(t):function(t){for(var e=o.nonCluster,r=e.length-1;r>=0;r--){var i=e[r];n.removeLayer(c.layerIds[i]),t||n.removeSource(c.sourceIds[i])}}(t)}function h(t){l?function(t){t||c.addSource("circle",a.circle,e.cluster);for(var r=o.cluster,n=0;n=0;r--){var n=e[r];t.removeLayer(this.layerIds[n]),t.removeSource(this.sourceIds[n])}},t.exports=function(t,e){var r,n,a,l=e[0].trace,u=l.cluster&&l.cluster.enabled,c=!0!==l.visible,f=new s(t,l.uid,u,c),h=i(t.gd,e),p=f.below=t.belowLookup["trace-"+l.uid];if(u)for(f.addSource("circle",h.circle,l.cluster),r=0;r")}}t.exports={hoverPoints:function(t,e,r,a){var o=n(t,e,r,a);if(o&&!1!==o[0].index){var s=o[0];if(void 0===s.index)return o;var l=t.subplot,u=s.cd[s.index],c=s.trace;if(l.isPtInside(u))return s.xLabelVal=void 0,s.yLabelVal=void 0,i(u,c,l,s),s.hovertemplate=c.hovertemplate,o}},makeHoverPointText:i}},76924:function(t,e,r){"use strict";t.exports={moduleType:"trace",name:"scatterpolar",basePlotModule:r(40872),categories:["polar","symbols","showLegend","scatter-like"],attributes:r(8319),supplyDefaults:r(85968).supplyDefaults,colorbar:r(5528),formatLabels:r(22852),calc:r(58320),plot:r(43456),style:r(49224).style,styleOnSelect:r(49224).styleOnSelect,hoverPoints:r(8504).hoverPoints,selectPoints:r(91560),meta:{}}},43456:function(t,e,r){"use strict";var n=r(96504),i=r(39032).BADNUM;t.exports=function(t,e,r){for(var a=e.layers.frontplot.select("g.scatterlayer"),o=e.xaxis,s=e.yaxis,l={xaxis:o,yaxis:s,plot:e.framework,layerClipId:e._hasClipOnAxisFalse?e.clipIds.forTraces:null},u=e.radialAxis,c=e.angularAxis,f=0;f=u&&(m.marker.cluster=d.tree),m.marker&&(m.markerSel.positions=m.markerUnsel.positions=m.marker.positions=_),m.line&&_.length>1&&l.extendFlat(m.line,s.linePositions(t,p,_)),m.text&&(l.extendFlat(m.text,{positions:_},s.textPosition(t,p,m.text,m.marker)),l.extendFlat(m.textSel,{positions:_},s.textPosition(t,p,m.text,m.markerSel)),l.extendFlat(m.textUnsel,{positions:_},s.textPosition(t,p,m.text,m.markerUnsel))),m.fill&&!h.fill2d&&(h.fill2d=!0),m.marker&&!h.scatter2d&&(h.scatter2d=!0),m.line&&!h.line2d&&(h.line2d=!0),m.text&&!h.glText&&(h.glText=!0),h.lineOptions.push(m.line),h.fillOptions.push(m.fill),h.markerOptions.push(m.marker),h.markerSelectedOptions.push(m.markerSel),h.markerUnselectedOptions.push(m.markerUnsel),h.textOptions.push(m.text),h.textSelectedOptions.push(m.textSel),h.textUnselectedOptions.push(m.textUnsel),h.selectBatch.push([]),h.unselectBatch.push([]),d.x=w,d.y=T,d.rawx=w,d.rawy=T,d.r=g,d.theta=y,d.positions=_,d._scene=h,d.index=h.count,h.count++}})),a(t,e,r)}},t.exports.reglPrecompiled={}},69496:function(t,e,r){"use 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n=r(38248),i=r(39032).BADNUM,a=r(90136),o=r(20148),s=r(4500),l=r(16356).calcMarkerSize;t.exports=function(t,e){for(var r=t._fullLayout,u=e.subplot,c=r[u].realaxis,f=r[u].imaginaryaxis,h=c.makeCalcdata(e,"real"),p=f.makeCalcdata(e,"imag"),d=e._length,v=new Array(d),g=0;g")}}t.exports={hoverPoints:function(t,e,r,a){var o=n(t,e,r,a);if(o&&!1!==o[0].index){var s=o[0];if(void 0===s.index)return o;var l=t.subplot,u=s.cd[s.index],c=s.trace;if(l.isPtInside(u))return s.xLabelVal=void 0,s.yLabelVal=void 0,i(u,c,l,s),s.hovertemplate=c.hovertemplate,o}},makeHoverPointText:i}},95443:function(t,e,r){"use strict";t.exports={moduleType:"trace",name:"scattersmith",basePlotModule:r(47788),categories:["smith","symbols","showLegend","scatter-like"],attributes:r(69496),supplyDefaults:r(76716),colorbar:r(5528),formatLabels:r(49504),calc:r(47507),plot:r(34927),style:r(49224).style,styleOnSelect:r(49224).styleOnSelect,hoverPoints:r(25292).hoverPoints,selectPoints:r(91560),meta:{}}},34927:function(t,e,r){"use 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b={data:[{level:y}],traces:[d.index]},_={frame:{redraw:!1,duration:h.transitionTime},transition:{duration:h.transitionTime,easing:h.transitionEasing},mode:"immediate",fromcurrent:!0};o.loneUnhover(e._hoverlayer.node()),i.call("animate",r,b,_)}}))}},78176:function(t,e,r){"use strict";var n=r(3400),i=r(76308),a=r(93972),o=r(69656);function s(t){return t.data.data.pid}e.findEntryWithLevel=function(t,r){var n;return r&&t.eachAfter((function(t){if(e.getPtId(t)===r)return n=t.copy()})),n||t},e.findEntryWithChild=function(t,r){var n;return t.eachAfter((function(t){for(var i=t.children||[],a=0;a0)},e.getMaxDepth=function(t){return t.maxdepth>=0?t.maxdepth:1/0},e.isHeader=function(t,r){return!(e.isLeaf(t)||t.depth===r._maxDepth-1)},e.getParent=function(t,r){return e.findEntryWithLevel(t,s(r))},e.listPath=function(t,r){var n=t.parent;if(!n)return[];var i=r?[n.data[r]]:[n];return e.listPath(n,r).concat(i)},e.getPath=function(t){return 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n=r(33428),i=r(74148),a=r(67756).qy,o=r(43616),s=r(3400),l=r(72736),u=r(82744),c=u.recordMinTextSize,f=u.clearMinTextSize,h=r(37820),p=r(69656).getRotationAngle,d=h.computeTransform,v=h.transformInsideText,g=r(85676).styleOne,y=r(60100).resizeText,m=r(45716),x=r(27328),b=r(78176);function _(t,r,u,f){var h=t._context.staticPlot,y=t._fullLayout,_=!y.uniformtext.mode&&b.hasTransition(f),T=n.select(u).selectAll("g.slice"),k=r[0],A=k.trace,M=k.hierarchy,S=b.findEntryWithLevel(M,A.level),E=b.getMaxDepth(A),L=y._size,C=A.domain,P=L.w*(C.x[1]-C.x[0]),O=L.h*(C.y[1]-C.y[0]),I=.5*Math.min(P,O),D=k.cx=L.l+L.w*(C.x[1]+C.x[0])/2,z=k.cy=L.t+L.h*(1-C.y[0])-O/2;if(!S)return T.remove();var R=null,F={};_&&T.each((function(t){F[b.getPtId(t)]={rpx0:t.rpx0,rpx1:t.rpx1,x0:t.x0,x1:t.x1,transform:t.transform},!R&&b.isEntry(t)&&(R=t)}));var B=function(t){return i.partition().size([2*Math.PI,t.height+1])(t)}(S).descendants(),N=S.height+1,j=0,U=E;k.hasMultipleRoots&&b.isHierarchyRoot(S)&&(B=B.slice(1),N-=1,j=1,U+=1),B=B.filter((function(t){return t.y1<=U}));var V=p(A.rotation);V&&B.forEach((function(t){t.x0+=V,t.x1+=V}));var q=Math.min(N,E),H=function(t){return(t-j)/q*I},G=function(t,e){return[t*Math.cos(e),-t*Math.sin(e)]},W=function(t){return s.pathAnnulus(t.rpx0,t.rpx1,t.x0,t.x1,D,z)},Y=function(t){return D+w(t)[0]*(t.transform.rCenter||0)+(t.transform.x||0)},X=function(t){return z+w(t)[1]*(t.transform.rCenter||0)+(t.transform.y||0)};(T=T.data(B,b.getPtId)).enter().append("g").classed("slice",!0),_?T.exit().transition().each((function(){var t=n.select(this);t.select("path.surface").transition().attrTween("d",(function(t){var e=function(t){var e,r=b.getPtId(t),n=F[r],i=F[b.getPtId(S)];if(i){var o=(t.x1>i.x1?2*Math.PI:0)+V;e=t.rpx1Z?2*Math.PI:0)+V;e={x0:i,x1:i}}else e={rpx0:I,rpx1:I},s.extendFlat(e,$(t));else e={rpx0:0,rpx1:0};else 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if(e={rpx1:t.rpx1,transform:{textPosAngle:n.textPosAngle,scale:0,rotate:n.rotate,rCenter:n.rCenter,x:n.x,y:n.y}},R)if(t.parent)if(Z){var i=t.x1>Z?2*Math.PI:0;e.x0=e.x1=i}else s.extendFlat(e,$(t));else e.x0=e.x1=V;else e.x0=e.x1=V;var o=a(e.transform.textPosAngle,t.transform.textPosAngle),l=a(e.rpx1,t.rpx1),u=a(e.x0,t.x0),f=a(e.x1,t.x1),h=a(e.transform.scale,n.scale),p=a(e.transform.rotate,n.rotate),d=0===n.rCenter?3:0===e.transform.rCenter?1/3:1,v=a(e.transform.rCenter,n.rCenter);return function(t){var e=l(t),r=u(t),i=f(t),a=function(t){return v(Math.pow(t,d))}(t),s={pxmid:G(e,(r+i)/2),rpx1:e,transform:{textPosAngle:o(t),rCenter:a,x:n.x,y:n.y}};return c(A.type,n,y),{transform:{targetX:Y(s),targetY:X(s),scale:h(t),rotate:p(t),rCenter:a}}}}(t);return function(t){return E(e(t),M)}})):w.attr("transform",E(i,M))}))}function w(t){return e=t.rpx1,r=t.transform.textPosAngle,[e*Math.sin(r),-e*Math.cos(r)];var e,r}e.plot=function(t,e,r,i){var a,o,s=t._fullLayout,l=s._sunburstlayer,u=!r,c=!s.uniformtext.mode&&b.hasTransition(r);f("sunburst",s),(a=l.selectAll("g.trace.sunburst").data(e,(function(t){return t[0].trace.uid}))).enter().append("g").classed("trace",!0).classed("sunburst",!0).attr("stroke-linejoin","round"),a.order(),c?(i&&(o=i()),n.transition().duration(r.duration).ease(r.easing).each("end",(function(){o&&o()})).each("interrupt",(function(){o&&o()})).each((function(){l.selectAll("g.trace").each((function(e){_(t,e,this,r)}))}))):(a.each((function(e){_(t,e,this,r)})),s.uniformtext.mode&&y(t,s._sunburstlayer.selectAll(".trace"),"sunburst")),u&&a.exit().remove()},e.formatSliceLabel=function(t,e,r,n,i){var a=r.texttemplate,o=r.textinfo;if(!(a||o&&"none"!==o))return"";var l=i.separators,u=n[0],c=t.data.data,f=u.hierarchy,h=b.isHierarchyRoot(t),p=b.getParent(f,t),d=b.getValue(t);if(!a){var 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n=r(47128);t.exports=function(t,e){e.surfacecolor?n(t,e,{vals:e.surfacecolor,containerStr:"",cLetter:"c"}):n(t,e,{vals:e.z,containerStr:"",cLetter:"c"})}},79164:function(t,e,r){"use strict";var n=r(67792).gl_surface3d,i=r(67792).ndarray,a=r(67792).ndarray_linear_interpolate.d2,o=r(70448),s=r(11240),l=r(3400).isArrayOrTypedArray,u=r(33040).parseColorScale,c=r(43080),f=r(8932).extractOpts;function h(t,e,r){this.scene=t,this.uid=r,this.surface=e,this.data=null,this.showContour=[!1,!1,!1],this.contourStart=[null,null,null],this.contourEnd=[null,null,null],this.contourSize=[0,0,0],this.minValues=[1/0,1/0,1/0],this.maxValues=[-1/0,-1/0,-1/0],this.dataScaleX=1,this.dataScaleY=1,this.refineData=!0,this.objectOffset=[0,0,0]}var p=h.prototype;p.getXat=function(t,e,r,n){var i=l(this.data.x)?l(this.data.x[0])?this.data.x[e][t]:this.data.x[t]:t;return void 0===r?i:n.d2l(i,0,r)},p.getYat=function(t,e,r,n){var i=l(this.data.y)?l(this.data.y[0])?this.data.y[e][t]:this.data.y[e]:e;return void 0===r?i:n.d2l(i,0,r)},p.getZat=function(t,e,r,n){var i=this.data.z[e][t];return null===i&&this.data.connectgaps&&this.data._interpolatedZ&&(i=this.data._interpolatedZ[e][t]),void 0===r?i:n.d2l(i,0,r)},p.handlePick=function(t){if(t.object===this.surface){var e=(t.data.index[0]-1)/this.dataScaleX-1,r=(t.data.index[1]-1)/this.dataScaleY-1,n=Math.max(Math.min(Math.round(e),this.data.z[0].length-1),0),i=Math.max(Math.min(Math.round(r),this.data._ylength-1),0);t.index=[n,i],t.traceCoordinate=[this.getXat(n,i),this.getYat(n,i),this.getZat(n,i)],t.dataCoordinate=[this.getXat(n,i,this.data.xcalendar,this.scene.fullSceneLayout.xaxis),this.getYat(n,i,this.data.ycalendar,this.scene.fullSceneLayout.yaxis),this.getZat(n,i,this.data.zcalendar,this.scene.fullSceneLayout.zaxis)];for(var a=0;a<3;a++){null!=t.dataCoordinate[a]&&(t.dataCoordinate[a]*=this.scene.dataScale[a])}var o=this.data.hovertext||this.data.text;return l(o)&&o[i]&&void 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v(t,e){if(t0){r=d[n];break}return r}function m(t,e){if(!(t<1||e<1)){for(var r=g(t),n=g(e),i=1,a=0;a_;)r--,r/=y(r),++r1?n:1},p.refineCoords=function(t){for(var e=this.dataScaleX,r=this.dataScaleY,n=t[0].shape[0],a=t[0].shape[1],o=0|Math.floor(t[0].shape[0]*e+1),s=0|Math.floor(t[0].shape[1]*r+1),l=1+n+1,u=1+a+1,c=i(new Float32Array(l*u),[l,u]),f=[1/e,0,0,0,1/r,0,0,0,1],h=0;h0&&null!==this.contourStart[t]&&null!==this.contourEnd[t]&&this.contourEnd[t]>this.contourStart[t]))for(i[t]=!0,e=this.contourStart[t];ea&&(this.minValues[e]=a),this.maxValues[e]",maxDimensionCount:60,overdrag:45,releaseTransitionDuration:120,releaseTransitionEase:"cubic-out",scrollbarCaptureWidth:18,scrollbarHideDelay:1e3,scrollbarHideDuration:1e3,scrollbarOffset:5,scrollbarWidth:8,transitionDuration:100,transitionEase:"cubic-out",uplift:5,wrapSpacer:" ",wrapSplitCharacter:" ",cn:{table:"table",tableControlView:"table-control-view",scrollBackground:"scroll-background",yColumn:"y-column",columnBlock:"column-block",scrollAreaClip:"scroll-area-clip",scrollAreaClipRect:"scroll-area-clip-rect",columnBoundary:"column-boundary",columnBoundaryClippath:"column-boundary-clippath",columnBoundaryRect:"column-boundary-rect",columnCells:"column-cells",columnCell:"column-cell",cellRect:"cell-rect",cellText:"cell-text",cellTextHolder:"cell-text-holder",scrollbarKit:"scrollbar-kit",scrollbar:"scrollbar",scrollbarSlider:"scrollbar-slider",scrollbarGlyph:"scrollbar-glyph",scrollbarCaptureZone:"scrollbar-capture-zone"}}},55992:function(t,e,r){"use strict";var n=r(23536),i=r(92880).extendFlat,a=r(38248),o=r(38116).isTypedArray,s=r(38116).isArrayOrTypedArray;function l(t){if(s(t)){for(var e=0,r=0;r=e||u===t.length-1)&&(n[i]=o,o.key=l++,o.firstRowIndex=s,o.lastRowIndex=u,o={firstRowIndex:null,lastRowIndex:null,rows:[]},i+=a,s=u+1,a=0);return n}t.exports=function(t,e){var 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C=Math.max(l(e.header.line.width),l(e.cells.line.width)),P={key:e.uid+t._context.staticPlot,translateX:y.x[0]*t._fullLayout._size.w,translateY:t._fullLayout._size.h*(1-y.y[1]),size:t._fullLayout._size,width:m,maxLineWidth:C,height:x,columnOrder:S,groupHeight:x,rowBlocks:A,headerRowBlocks:k,scrollY:0,cells:i({},e.cells,{values:r}),headerCells:i({},e.header,{values:g}),gdColumns:g.map((function(t){return t[0]})),gdColumnsOriginalOrder:g.map((function(t){return t[0]})),prevPages:[0,0],scrollbarState:{scrollbarScrollInProgress:!1},columns:g.map((function(t,e){var r=M[t];return M[t]=(r||0)+1,{key:t+"__"+M[t],label:t,specIndex:e,xIndex:S[e],xScale:h,x:void 0,calcdata:void 0,columnWidth:E[e]}}))};return P.columns.forEach((function(t){t.calcdata=P,t.x=h(t)})),P}},53056:function(t,e,r){"use strict";var n=r(92880).extendFlat;e.splitToPanels=function(t){var 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xt=(u+(n=n+Math.imul(f,K)|0)|0)+((8191&(i=(i=i+Math.imul(f,J)|0)+Math.imul(h,K)|0))<<13)|0;u=((a=a+Math.imul(h,J)|0)+(i>>>13)|0)+(xt>>>26)|0,xt&=67108863,n=Math.imul(T,U),i=(i=Math.imul(T,V))+Math.imul(k,U)|0,a=Math.imul(k,V),n=n+Math.imul(b,H)|0,i=(i=i+Math.imul(b,G)|0)+Math.imul(_,H)|0,a=a+Math.imul(_,G)|0,n=n+Math.imul(y,Y)|0,i=(i=i+Math.imul(y,X)|0)+Math.imul(m,Y)|0,a=a+Math.imul(m,X)|0,n=n+Math.imul(d,K)|0,i=(i=i+Math.imul(d,J)|0)+Math.imul(v,K)|0,a=a+Math.imul(v,J)|0;var bt=(u+(n=n+Math.imul(f,Q)|0)|0)+((8191&(i=(i=i+Math.imul(f,tt)|0)+Math.imul(h,Q)|0))<<13)|0;u=((a=a+Math.imul(h,tt)|0)+(i>>>13)|0)+(bt>>>26)|0,bt&=67108863,n=Math.imul(M,U),i=(i=Math.imul(M,V))+Math.imul(S,U)|0,a=Math.imul(S,V),n=n+Math.imul(T,H)|0,i=(i=i+Math.imul(T,G)|0)+Math.imul(k,H)|0,a=a+Math.imul(k,G)|0,n=n+Math.imul(b,Y)|0,i=(i=i+Math.imul(b,X)|0)+Math.imul(_,Y)|0,a=a+Math.imul(_,X)|0,n=n+Math.imul(y,K)|0,i=(i=i+Math.imul(y,J)|0)+Math.imul(m,K)|0,a=a+Math.imul(m,J)|0,n=n+Math.imul(d,Q)|0,i=(i=i+Math.imul(d,tt)|0)+Math.imul(v,Q)|0,a=a+Math.imul(v,tt)|0;var _t=(u+(n=n+Math.imul(f,rt)|0)|0)+((8191&(i=(i=i+Math.imul(f,nt)|0)+Math.imul(h,rt)|0))<<13)|0;u=((a=a+Math.imul(h,nt)|0)+(i>>>13)|0)+(_t>>>26)|0,_t&=67108863,n=Math.imul(L,U),i=(i=Math.imul(L,V))+Math.imul(C,U)|0,a=Math.imul(C,V),n=n+Math.imul(M,H)|0,i=(i=i+Math.imul(M,G)|0)+Math.imul(S,H)|0,a=a+Math.imul(S,G)|0,n=n+Math.imul(T,Y)|0,i=(i=i+Math.imul(T,X)|0)+Math.imul(k,Y)|0,a=a+Math.imul(k,X)|0,n=n+Math.imul(b,K)|0,i=(i=i+Math.imul(b,J)|0)+Math.imul(_,K)|0,a=a+Math.imul(_,J)|0,n=n+Math.imul(y,Q)|0,i=(i=i+Math.imul(y,tt)|0)+Math.imul(m,Q)|0,a=a+Math.imul(m,tt)|0,n=n+Math.imul(d,rt)|0,i=(i=i+Math.imul(d,nt)|0)+Math.imul(v,rt)|0,a=a+Math.imul(v,nt)|0;var wt=(u+(n=n+Math.imul(f,at)|0)|0)+((8191&(i=(i=i+Math.imul(f,ot)|0)+Math.imul(h,at)|0))<<13)|0;u=((a=a+Math.imul(h,ot)|0)+(i>>>13)|0)+(wt>>>26)|0,wt&=67108863,n=Math.imul(O,U),i=(i=Math.imul(O,V))+Math.imul(I,U)|0,a=Math.imul(I,V),n=n+Math.imul(L,H)|0,i=(i=i+Math.imul(L,G)|0)+Math.imul(C,H)|0,a=a+Math.imul(C,G)|0,n=n+Math.imul(M,Y)|0,i=(i=i+Math.imul(M,X)|0)+Math.imul(S,Y)|0,a=a+Math.imul(S,X)|0,n=n+Math.imul(T,K)|0,i=(i=i+Math.imul(T,J)|0)+Math.imul(k,K)|0,a=a+Math.imul(k,J)|0,n=n+Math.imul(b,Q)|0,i=(i=i+Math.imul(b,tt)|0)+Math.imul(_,Q)|0,a=a+Math.imul(_,tt)|0,n=n+Math.imul(y,rt)|0,i=(i=i+Math.imul(y,nt)|0)+Math.imul(m,rt)|0,a=a+Math.imul(m,nt)|0,n=n+Math.imul(d,at)|0,i=(i=i+Math.imul(d,ot)|0)+Math.imul(v,at)|0,a=a+Math.imul(v,ot)|0;var Tt=(u+(n=n+Math.imul(f,lt)|0)|0)+((8191&(i=(i=i+Math.imul(f,ut)|0)+Math.imul(h,lt)|0))<<13)|0;u=((a=a+Math.imul(h,ut)|0)+(i>>>13)|0)+(Tt>>>26)|0,Tt&=67108863,n=Math.imul(z,U),i=(i=Math.imul(z,V))+Math.imul(R,U)|0,a=Math.imul(R,V),n=n+Math.imul(O,H)|0,i=(i=i+Math.imul(O,G)|0)+Math.imul(I,H)|0,a=a+Math.imul(I,G)|0,n=n+Math.imul(L,Y)|0,i=(i=i+Math.imul(L,X)|0)+Math.imul(C,Y)|0,a=a+Math.imul(C,X)|0,n=n+Math.imul(M,K)|0,i=(i=i+Math.imul(M,J)|0)+Math.imul(S,K)|0,a=a+Math.imul(S,J)|0,n=n+Math.imul(T,Q)|0,i=(i=i+Math.imul(T,tt)|0)+Math.imul(k,Q)|0,a=a+Math.imul(k,tt)|0,n=n+Math.imul(b,rt)|0,i=(i=i+Math.imul(b,nt)|0)+Math.imul(_,rt)|0,a=a+Math.imul(_,nt)|0,n=n+Math.imul(y,at)|0,i=(i=i+Math.imul(y,ot)|0)+Math.imul(m,at)|0,a=a+Math.imul(m,ot)|0,n=n+Math.imul(d,lt)|0,i=(i=i+Math.imul(d,ut)|0)+Math.imul(v,lt)|0,a=a+Math.imul(v,ut)|0;var kt=(u+(n=n+Math.imul(f,ft)|0)|0)+((8191&(i=(i=i+Math.imul(f,ht)|0)+Math.imul(h,ft)|0))<<13)|0;u=((a=a+Math.imul(h,ht)|0)+(i>>>13)|0)+(kt>>>26)|0,kt&=67108863,n=Math.imul(B,U),i=(i=Math.imul(B,V))+Math.imul(N,U)|0,a=Math.imul(N,V),n=n+Math.imul(z,H)|0,i=(i=i+Math.imul(z,G)|0)+Math.imul(R,H)|0,a=a+Math.imul(R,G)|0,n=n+Math.imul(O,Y)|0,i=(i=i+Math.imul(O,X)|0)+Math.imul(I,Y)|0,a=a+Math.imul(I,X)|0,n=n+Math.imul(L,K)|0,i=(i=i+Math.imul(L,J)|0)+Math.imul(C,K)|0,a=a+Math.imul(C,J)|0,n=n+Math.imul(M,Q)|0,i=(i=i+Math.imul(M,tt)|0)+Math.imul(S,Q)|0,a=a+Math.imul(S,tt)|0,n=n+Math.imul(T,rt)|0,i=(i=i+Math.imul(T,nt)|0)+Math.imul(k,rt)|0,a=a+Math.imul(k,nt)|0,n=n+Math.imul(b,at)|0,i=(i=i+Math.imul(b,ot)|0)+Math.imul(_,at)|0,a=a+Math.imul(_,ot)|0,n=n+Math.imul(y,lt)|0,i=(i=i+Math.imul(y,ut)|0)+Math.imul(m,lt)|0,a=a+Math.imul(m,ut)|0,n=n+Math.imul(d,ft)|0,i=(i=i+Math.imul(d,ht)|0)+Math.imul(v,ft)|0,a=a+Math.imul(v,ht)|0;var At=(u+(n=n+Math.imul(f,dt)|0)|0)+((8191&(i=(i=i+Math.imul(f,vt)|0)+Math.imul(h,dt)|0))<<13)|0;u=((a=a+Math.imul(h,vt)|0)+(i>>>13)|0)+(At>>>26)|0,At&=67108863,n=Math.imul(B,H),i=(i=Math.imul(B,G))+Math.imul(N,H)|0,a=Math.imul(N,G),n=n+Math.imul(z,Y)|0,i=(i=i+Math.imul(z,X)|0)+Math.imul(R,Y)|0,a=a+Math.imul(R,X)|0,n=n+Math.imul(O,K)|0,i=(i=i+Math.imul(O,J)|0)+Math.imul(I,K)|0,a=a+Math.imul(I,J)|0,n=n+Math.imul(L,Q)|0,i=(i=i+Math.imul(L,tt)|0)+Math.imul(C,Q)|0,a=a+Math.imul(C,tt)|0,n=n+Math.imul(M,rt)|0,i=(i=i+Math.imul(M,nt)|0)+Math.imul(S,rt)|0,a=a+Math.imul(S,nt)|0,n=n+Math.imul(T,at)|0,i=(i=i+Math.imul(T,ot)|0)+Math.imul(k,at)|0,a=a+Math.imul(k,ot)|0,n=n+Math.imul(b,lt)|0,i=(i=i+Math.imul(b,ut)|0)+Math.imul(_,lt)|0,a=a+Math.imul(_,ut)|0,n=n+Math.imul(y,ft)|0,i=(i=i+Math.imul(y,ht)|0)+Math.imul(m,ft)|0,a=a+Math.imul(m,ht)|0;var Mt=(u+(n=n+Math.imul(d,dt)|0)|0)+((8191&(i=(i=i+Math.imul(d,vt)|0)+Math.imul(v,dt)|0))<<13)|0;u=((a=a+Math.imul(v,vt)|0)+(i>>>13)|0)+(Mt>>>26)|0,Mt&=67108863,n=Math.imul(B,Y),i=(i=Math.imul(B,X))+Math.imul(N,Y)|0,a=Math.imul(N,X),n=n+Math.imul(z,K)|0,i=(i=i+Math.imul(z,J)|0)+Math.imul(R,K)|0,a=a+Math.imul(R,J)|0,n=n+Math.imul(O,Q)|0,i=(i=i+Math.imul(O,tt)|0)+Math.imul(I,Q)|0,a=a+Math.imul(I,tt)|0,n=n+Math.imul(L,rt)|0,i=(i=i+Math.imul(L,nt)|0)+Math.imul(C,rt)|0,a=a+Math.imul(C,nt)|0,n=n+Math.imul(M,at)|0,i=(i=i+Math.imul(M,ot)|0)+Math.imul(S,at)|0,a=a+Math.imul(S,ot)|0,n=n+Math.imul(T,lt)|0,i=(i=i+Math.imul(T,ut)|0)+Math.imul(k,lt)|0,a=a+Math.imul(k,ut)|0,n=n+Math.imul(b,ft)|0,i=(i=i+Math.imul(b,ht)|0)+Math.imul(_,ft)|0,a=a+Math.imul(_,ht)|0;var St=(u+(n=n+Math.imul(y,dt)|0)|0)+((8191&(i=(i=i+Math.imul(y,vt)|0)+Math.imul(m,dt)|0))<<13)|0;u=((a=a+Math.imul(m,vt)|0)+(i>>>13)|0)+(St>>>26)|0,St&=67108863,n=Math.imul(B,K),i=(i=Math.imul(B,J))+Math.imul(N,K)|0,a=Math.imul(N,J),n=n+Math.imul(z,Q)|0,i=(i=i+Math.imul(z,tt)|0)+Math.imul(R,Q)|0,a=a+Math.imul(R,tt)|0,n=n+Math.imul(O,rt)|0,i=(i=i+Math.imul(O,nt)|0)+Math.imul(I,rt)|0,a=a+Math.imul(I,nt)|0,n=n+Math.imul(L,at)|0,i=(i=i+Math.imul(L,ot)|0)+Math.imul(C,at)|0,a=a+Math.imul(C,ot)|0,n=n+Math.imul(M,lt)|0,i=(i=i+Math.imul(M,ut)|0)+Math.imul(S,lt)|0,a=a+Math.imul(S,ut)|0,n=n+Math.imul(T,ft)|0,i=(i=i+Math.imul(T,ht)|0)+Math.imul(k,ft)|0,a=a+Math.imul(k,ht)|0;var Et=(u+(n=n+Math.imul(b,dt)|0)|0)+((8191&(i=(i=i+Math.imul(b,vt)|0)+Math.imul(_,dt)|0))<<13)|0;u=((a=a+Math.imul(_,vt)|0)+(i>>>13)|0)+(Et>>>26)|0,Et&=67108863,n=Math.imul(B,Q),i=(i=Math.imul(B,tt))+Math.imul(N,Q)|0,a=Math.imul(N,tt),n=n+Math.imul(z,rt)|0,i=(i=i+Math.imul(z,nt)|0)+Math.imul(R,rt)|0,a=a+Math.imul(R,nt)|0,n=n+Math.imul(O,at)|0,i=(i=i+Math.imul(O,ot)|0)+Math.imul(I,at)|0,a=a+Math.imul(I,ot)|0,n=n+Math.imul(L,lt)|0,i=(i=i+Math.imul(L,ut)|0)+Math.imul(C,lt)|0,a=a+Math.imul(C,ut)|0,n=n+Math.imul(M,ft)|0,i=(i=i+Math.imul(M,ht)|0)+Math.imul(S,ft)|0,a=a+Math.imul(S,ht)|0;var Lt=(u+(n=n+Math.imul(T,dt)|0)|0)+((8191&(i=(i=i+Math.imul(T,vt)|0)+Math.imul(k,dt)|0))<<13)|0;u=((a=a+Math.imul(k,vt)|0)+(i>>>13)|0)+(Lt>>>26)|0,Lt&=67108863,n=Math.imul(B,rt),i=(i=Math.imul(B,nt))+Math.imul(N,rt)|0,a=Math.imul(N,nt),n=n+Math.imul(z,at)|0,i=(i=i+Math.imul(z,ot)|0)+Math.imul(R,at)|0,a=a+Math.imul(R,ot)|0,n=n+Math.imul(O,lt)|0,i=(i=i+Math.imul(O,ut)|0)+Math.imul(I,lt)|0,a=a+Math.imul(I,ut)|0,n=n+Math.imul(L,ft)|0,i=(i=i+Math.imul(L,ht)|0)+Math.imul(C,ft)|0,a=a+Math.imul(C,ht)|0;var Ct=(u+(n=n+Math.imul(M,dt)|0)|0)+((8191&(i=(i=i+Math.imul(M,vt)|0)+Math.imul(S,dt)|0))<<13)|0;u=((a=a+Math.imul(S,vt)|0)+(i>>>13)|0)+(Ct>>>26)|0,Ct&=67108863,n=Math.imul(B,at),i=(i=Math.imul(B,ot))+Math.imul(N,at)|0,a=Math.imul(N,ot),n=n+Math.imul(z,lt)|0,i=(i=i+Math.imul(z,ut)|0)+Math.imul(R,lt)|0,a=a+Math.imul(R,ut)|0,n=n+Math.imul(O,ft)|0,i=(i=i+Math.imul(O,ht)|0)+Math.imul(I,ft)|0,a=a+Math.imul(I,ht)|0;var Pt=(u+(n=n+Math.imul(L,dt)|0)|0)+((8191&(i=(i=i+Math.imul(L,vt)|0)+Math.imul(C,dt)|0))<<13)|0;u=((a=a+Math.imul(C,vt)|0)+(i>>>13)|0)+(Pt>>>26)|0,Pt&=67108863,n=Math.imul(B,lt),i=(i=Math.imul(B,ut))+Math.imul(N,lt)|0,a=Math.imul(N,ut),n=n+Math.imul(z,ft)|0,i=(i=i+Math.imul(z,ht)|0)+Math.imul(R,ft)|0,a=a+Math.imul(R,ht)|0;var Ot=(u+(n=n+Math.imul(O,dt)|0)|0)+((8191&(i=(i=i+Math.imul(O,vt)|0)+Math.imul(I,dt)|0))<<13)|0;u=((a=a+Math.imul(I,vt)|0)+(i>>>13)|0)+(Ot>>>26)|0,Ot&=67108863,n=Math.imul(B,ft),i=(i=Math.imul(B,ht))+Math.imul(N,ft)|0,a=Math.imul(N,ht);var It=(u+(n=n+Math.imul(z,dt)|0)|0)+((8191&(i=(i=i+Math.imul(z,vt)|0)+Math.imul(R,dt)|0))<<13)|0;u=((a=a+Math.imul(R,vt)|0)+(i>>>13)|0)+(It>>>26)|0,It&=67108863;var Dt=(u+(n=Math.imul(B,dt))|0)+((8191&(i=(i=Math.imul(B,vt))+Math.imul(N,dt)|0))<<13)|0;return u=((a=Math.imul(N,vt))+(i>>>13)|0)+(Dt>>>26)|0,Dt&=67108863,l[0]=gt,l[1]=yt,l[2]=mt,l[3]=xt,l[4]=bt,l[5]=_t,l[6]=wt,l[7]=Tt,l[8]=kt,l[9]=At,l[10]=Mt,l[11]=St,l[12]=Et,l[13]=Lt,l[14]=Ct,l[15]=Pt,l[16]=Ot,l[17]=It,l[18]=Dt,0!==u&&(l[19]=u,r.length++),r};function v(t,e,r){return(new g).mulp(t,e,r)}function g(t,e){this.x=t,this.y=e}Math.imul||(d=p),a.prototype.mulTo=function(t,e){var r,n=this.length+t.length;return r=10===this.length&&10===t.length?d(this,t,e):n<63?p(this,t,e):n<1024?function(t,e,r){r.negative=e.negative^t.negative,r.length=t.length+e.length;for(var n=0,i=0,a=0;a>>26)|0)>>>26,o&=67108863}r.words[a]=s,n=o,o=i}return 0!==n?r.words[a]=n:r.length--,r.strip()}(this,t,e):v(this,t,e),r},g.prototype.makeRBT=function(t){for(var e=new Array(t),r=a.prototype._countBits(t)-1,n=0;n>=1;return n},g.prototype.permute=function(t,e,r,n,i,a){for(var o=0;o>>=1)i++;return 1<>>=13,r[2*o+1]=8191&a,a>>>=13;for(o=2*e;o>=26,e+=i/67108864|0,e+=a>>>26,this.words[r]=67108863&a}return 0!==e&&(this.words[r]=e,this.length++),this},a.prototype.muln=function(t){return this.clone().imuln(t)},a.prototype.sqr=function(){return this.mul(this)},a.prototype.isqr=function(){return this.imul(this.clone())},a.prototype.pow=function(t){var e=function(t){for(var e=new Array(t.bitLength()),r=0;r>>i}return e}(t);if(0===e.length)return new a(1);for(var r=this,n=0;n=0);var e,r=t%26,i=(t-r)/26,a=67108863>>>26-r<<26-r;if(0!==r){var o=0;for(e=0;e>>26-r}o&&(this.words[e]=o,this.length++)}if(0!==i){for(e=this.length-1;e>=0;e--)this.words[e+i]=this.words[e];for(e=0;e=0),i=e?(e-e%26)/26:0;var a=t%26,o=Math.min((t-a)/26,this.length),s=67108863^67108863>>>a<o)for(this.length-=o,u=0;u=0&&(0!==c||u>=i);u--){var f=0|this.words[u];this.words[u]=c<<26-a|f>>>a,c=f&s}return l&&0!==c&&(l.words[l.length++]=c),0===this.length&&(this.words[0]=0,this.length=1),this.strip()},a.prototype.ishrn=function(t,e,r){return n(0===this.negative),this.iushrn(t,e,r)},a.prototype.shln=function(t){return this.clone().ishln(t)},a.prototype.ushln=function(t){return this.clone().iushln(t)},a.prototype.shrn=function(t){return this.clone().ishrn(t)},a.prototype.ushrn=function(t){return this.clone().iushrn(t)},a.prototype.testn=function(t){n("number"==typeof t&&t>=0);var e=t%26,r=(t-e)/26,i=1<=0);var e=t%26,r=(t-e)/26;if(n(0===this.negative,"imaskn works only with positive numbers"),this.length<=r)return this;if(0!==e&&r++,this.length=Math.min(r,this.length),0!==e){var i=67108863^67108863>>>e<=67108864;e++)this.words[e]-=67108864,e===this.length-1?this.words[e+1]=1:this.words[e+1]++;return this.length=Math.max(this.length,e+1),this},a.prototype.isubn=function(t){if(n("number"==typeof t),n(t<67108864),t<0)return this.iaddn(-t);if(0!==this.negative)return this.negative=0,this.iaddn(t),this.negative=1,this;if(this.words[0]-=t,1===this.length&&this.words[0]<0)this.words[0]=-this.words[0],this.negative=1;else for(var e=0;e>26)-(l/67108864|0),this.words[i+r]=67108863&a}for(;i>26,this.words[i+r]=67108863&a;if(0===s)return this.strip();for(n(-1===s),s=0,i=0;i>26,this.words[i]=67108863&a;return this.negative=1,this.strip()},a.prototype._wordDiv=function(t,e){var r=(this.length,t.length),n=this.clone(),i=t,o=0|i.words[i.length-1];0!=(r=26-this._countBits(o))&&(i=i.ushln(r),n.iushln(r),o=0|i.words[i.length-1]);var s,l=n.length-i.length;if("mod"!==e){(s=new a(null)).length=l+1,s.words=new Array(s.length);for(var u=0;u=0;f--){var h=67108864*(0|n.words[i.length+f])+(0|n.words[i.length+f-1]);for(h=Math.min(h/o|0,67108863),n._ishlnsubmul(i,h,f);0!==n.negative;)h--,n.negative=0,n._ishlnsubmul(i,1,f),n.isZero()||(n.negative^=1);s&&(s.words[f]=h)}return s&&s.strip(),n.strip(),"div"!==e&&0!==r&&n.iushrn(r),{div:s||null,mod:n}},a.prototype.divmod=function(t,e,r){return n(!t.isZero()),this.isZero()?{div:new a(0),mod:new a(0)}:0!==this.negative&&0===t.negative?(s=this.neg().divmod(t,e),"mod"!==e&&(i=s.div.neg()),"div"!==e&&(o=s.mod.neg(),r&&0!==o.negative&&o.iadd(t)),{div:i,mod:o}):0===this.negative&&0!==t.negative?(s=this.divmod(t.neg(),e),"mod"!==e&&(i=s.div.neg()),{div:i,mod:s.mod}):0!=(this.negative&t.negative)?(s=this.neg().divmod(t.neg(),e),"div"!==e&&(o=s.mod.neg(),r&&0!==o.negative&&o.isub(t)),{div:s.div,mod:o}):t.length>this.length||this.cmp(t)<0?{div:new a(0),mod:this}:1===t.length?"div"===e?{div:this.divn(t.words[0]),mod:null}:"mod"===e?{div:null,mod:new a(this.modn(t.words[0]))}:{div:this.divn(t.words[0]),mod:new a(this.modn(t.words[0]))}:this._wordDiv(t,e);var i,o,s},a.prototype.div=function(t){return this.divmod(t,"div",!1).div},a.prototype.mod=function(t){return this.divmod(t,"mod",!1).mod},a.prototype.umod=function(t){return this.divmod(t,"mod",!0).mod},a.prototype.divRound=function(t){var e=this.divmod(t);if(e.mod.isZero())return e.div;var r=0!==e.div.negative?e.mod.isub(t):e.mod,n=t.ushrn(1),i=t.andln(1),a=r.cmp(n);return a<0||1===i&&0===a?e.div:0!==e.div.negative?e.div.isubn(1):e.div.iaddn(1)},a.prototype.modn=function(t){n(t<=67108863);for(var e=(1<<26)%t,r=0,i=this.length-1;i>=0;i--)r=(e*r+(0|this.words[i]))%t;return r},a.prototype.idivn=function(t){n(t<=67108863);for(var e=0,r=this.length-1;r>=0;r--){var i=(0|this.words[r])+67108864*e;this.words[r]=i/t|0,e=i%t}return this.strip()},a.prototype.divn=function(t){return this.clone().idivn(t)},a.prototype.egcd=function(t){n(0===t.negative),n(!t.isZero());var e=this,r=t.clone();e=0!==e.negative?e.umod(t):e.clone();for(var i=new a(1),o=new a(0),s=new a(0),l=new a(1),u=0;e.isEven()&&r.isEven();)e.iushrn(1),r.iushrn(1),++u;for(var c=r.clone(),f=e.clone();!e.isZero();){for(var h=0,p=1;0==(e.words[0]&p)&&h<26;++h,p<<=1);if(h>0)for(e.iushrn(h);h-- >0;)(i.isOdd()||o.isOdd())&&(i.iadd(c),o.isub(f)),i.iushrn(1),o.iushrn(1);for(var d=0,v=1;0==(r.words[0]&v)&&d<26;++d,v<<=1);if(d>0)for(r.iushrn(d);d-- >0;)(s.isOdd()||l.isOdd())&&(s.iadd(c),l.isub(f)),s.iushrn(1),l.iushrn(1);e.cmp(r)>=0?(e.isub(r),i.isub(s),o.isub(l)):(r.isub(e),s.isub(i),l.isub(o))}return{a:s,b:l,gcd:r.iushln(u)}},a.prototype._invmp=function(t){n(0===t.negative),n(!t.isZero());var e=this,r=t.clone();e=0!==e.negative?e.umod(t):e.clone();for(var i,o=new a(1),s=new a(0),l=r.clone();e.cmpn(1)>0&&r.cmpn(1)>0;){for(var u=0,c=1;0==(e.words[0]&c)&&u<26;++u,c<<=1);if(u>0)for(e.iushrn(u);u-- >0;)o.isOdd()&&o.iadd(l),o.iushrn(1);for(var f=0,h=1;0==(r.words[0]&h)&&f<26;++f,h<<=1);if(f>0)for(r.iushrn(f);f-- >0;)s.isOdd()&&s.iadd(l),s.iushrn(1);e.cmp(r)>=0?(e.isub(r),o.isub(s)):(r.isub(e),s.isub(o))}return(i=0===e.cmpn(1)?o:s).cmpn(0)<0&&i.iadd(t),i},a.prototype.gcd=function(t){if(this.isZero())return t.abs();if(t.isZero())return this.abs();var e=this.clone(),r=t.clone();e.negative=0,r.negative=0;for(var n=0;e.isEven()&&r.isEven();n++)e.iushrn(1),r.iushrn(1);for(;;){for(;e.isEven();)e.iushrn(1);for(;r.isEven();)r.iushrn(1);var i=e.cmp(r);if(i<0){var a=e;e=r,r=a}else if(0===i||0===r.cmpn(1))break;e.isub(r)}return r.iushln(n)},a.prototype.invm=function(t){return this.egcd(t).a.umod(t)},a.prototype.isEven=function(){return 0==(1&this.words[0])},a.prototype.isOdd=function(){return 1==(1&this.words[0])},a.prototype.andln=function(t){return this.words[0]&t},a.prototype.bincn=function(t){n("number"==typeof t);var e=t%26,r=(t-e)/26,i=1<>>26,s&=67108863,this.words[o]=s}return 0!==a&&(this.words[o]=a,this.length++),this},a.prototype.isZero=function(){return 1===this.length&&0===this.words[0]},a.prototype.cmpn=function(t){var e,r=t<0;if(0!==this.negative&&!r)return-1;if(0===this.negative&&r)return 1;if(this.strip(),this.length>1)e=1;else{r&&(t=-t),n(t<=67108863,"Number is too big");var i=0|this.words[0];e=i===t?0:it.length)return 1;if(this.length=0;r--){var n=0|this.words[r],i=0|t.words[r];if(n!==i){ni&&(e=1);break}}return e},a.prototype.gtn=function(t){return 1===this.cmpn(t)},a.prototype.gt=function(t){return 1===this.cmp(t)},a.prototype.gten=function(t){return this.cmpn(t)>=0},a.prototype.gte=function(t){return this.cmp(t)>=0},a.prototype.ltn=function(t){return-1===this.cmpn(t)},a.prototype.lt=function(t){return-1===this.cmp(t)},a.prototype.lten=function(t){return this.cmpn(t)<=0},a.prototype.lte=function(t){return this.cmp(t)<=0},a.prototype.eqn=function(t){return 0===this.cmpn(t)},a.prototype.eq=function(t){return 0===this.cmp(t)},a.red=function(t){return new T(t)},a.prototype.toRed=function(t){return n(!this.red,"Already a number in reduction context"),n(0===this.negative,"red works only with positives"),t.convertTo(this)._forceRed(t)},a.prototype.fromRed=function(){return n(this.red,"fromRed works only with numbers in reduction context"),this.red.convertFrom(this)},a.prototype._forceRed=function(t){return this.red=t,this},a.prototype.forceRed=function(t){return n(!this.red,"Already a number in reduction context"),this._forceRed(t)},a.prototype.redAdd=function(t){return n(this.red,"redAdd works only with red numbers"),this.red.add(this,t)},a.prototype.redIAdd=function(t){return n(this.red,"redIAdd works only with red numbers"),this.red.iadd(this,t)},a.prototype.redSub=function(t){return n(this.red,"redSub works only with red numbers"),this.red.sub(this,t)},a.prototype.redISub=function(t){return n(this.red,"redISub works only with red numbers"),this.red.isub(this,t)},a.prototype.redShl=function(t){return n(this.red,"redShl works only with red numbers"),this.red.shl(this,t)},a.prototype.redMul=function(t){return n(this.red,"redMul works only with red numbers"),this.red._verify2(this,t),this.red.mul(this,t)},a.prototype.redIMul=function(t){return n(this.red,"redMul works only with red numbers"),this.red._verify2(this,t),this.red.imul(this,t)},a.prototype.redSqr=function(){return n(this.red,"redSqr works only with red numbers"),this.red._verify1(this),this.red.sqr(this)},a.prototype.redISqr=function(){return n(this.red,"redISqr works only with red numbers"),this.red._verify1(this),this.red.isqr(this)},a.prototype.redSqrt=function(){return n(this.red,"redSqrt works only with red numbers"),this.red._verify1(this),this.red.sqrt(this)},a.prototype.redInvm=function(){return n(this.red,"redInvm works only with red numbers"),this.red._verify1(this),this.red.invm(this)},a.prototype.redNeg=function(){return n(this.red,"redNeg works only with red numbers"),this.red._verify1(this),this.red.neg(this)},a.prototype.redPow=function(t){return n(this.red&&!t.red,"redPow(normalNum)"),this.red._verify1(this),this.red.pow(this,t)};var y={k256:null,p224:null,p192:null,p25519:null};function m(t,e){this.name=t,this.p=new a(e,16),this.n=this.p.bitLength(),this.k=new a(1).iushln(this.n).isub(this.p),this.tmp=this._tmp()}function x(){m.call(this,"k256","ffffffff ffffffff ffffffff ffffffff ffffffff ffffffff fffffffe fffffc2f")}function b(){m.call(this,"p224","ffffffff ffffffff ffffffff ffffffff 00000000 00000000 00000001")}function _(){m.call(this,"p192","ffffffff ffffffff ffffffff fffffffe ffffffff ffffffff")}function w(){m.call(this,"25519","7fffffffffffffff ffffffffffffffff ffffffffffffffff ffffffffffffffed")}function T(t){if("string"==typeof t){var e=a._prime(t);this.m=e.p,this.prime=e}else n(t.gtn(1),"modulus must be greater than 1"),this.m=t,this.prime=null}function k(t){T.call(this,t),this.shift=this.m.bitLength(),this.shift%26!=0&&(this.shift+=26-this.shift%26),this.r=new a(1).iushln(this.shift),this.r2=this.imod(this.r.sqr()),this.rinv=this.r._invmp(this.m),this.minv=this.rinv.mul(this.r).isubn(1).div(this.m),this.minv=this.minv.umod(this.r),this.minv=this.r.sub(this.minv)}m.prototype._tmp=function(){var t=new a(null);return t.words=new Array(Math.ceil(this.n/13)),t},m.prototype.ireduce=function(t){var e,r=t;do{this.split(r,this.tmp),e=(r=(r=this.imulK(r)).iadd(this.tmp)).bitLength()}while(e>this.n);var n=e0?r.isub(this.p):void 0!==r.strip?r.strip():r._strip(),r},m.prototype.split=function(t,e){t.iushrn(this.n,0,e)},m.prototype.imulK=function(t){return t.imul(this.k)},i(x,m),x.prototype.split=function(t,e){for(var r=4194303,n=Math.min(t.length,9),i=0;i>>22,a=o}a>>>=22,t.words[i-10]=a,0===a&&t.length>10?t.length-=10:t.length-=9},x.prototype.imulK=function(t){t.words[t.length]=0,t.words[t.length+1]=0,t.length+=2;for(var e=0,r=0;r>>=26,t.words[r]=i,e=n}return 0!==e&&(t.words[t.length++]=e),t},a._prime=function(t){if(y[t])return y[t];var e;if("k256"===t)e=new x;else if("p224"===t)e=new b;else if("p192"===t)e=new _;else{if("p25519"!==t)throw new Error("Unknown prime "+t);e=new w}return y[t]=e,e},T.prototype._verify1=function(t){n(0===t.negative,"red works only with positives"),n(t.red,"red works only with red numbers")},T.prototype._verify2=function(t,e){n(0==(t.negative|e.negative),"red works only with positives"),n(t.red&&t.red===e.red,"red works only with red numbers")},T.prototype.imod=function(t){return this.prime?this.prime.ireduce(t)._forceRed(this):t.umod(this.m)._forceRed(this)},T.prototype.neg=function(t){return t.isZero()?t.clone():this.m.sub(t)._forceRed(this)},T.prototype.add=function(t,e){this._verify2(t,e);var r=t.add(e);return r.cmp(this.m)>=0&&r.isub(this.m),r._forceRed(this)},T.prototype.iadd=function(t,e){this._verify2(t,e);var r=t.iadd(e);return r.cmp(this.m)>=0&&r.isub(this.m),r},T.prototype.sub=function(t,e){this._verify2(t,e);var r=t.sub(e);return r.cmpn(0)<0&&r.iadd(this.m),r._forceRed(this)},T.prototype.isub=function(t,e){this._verify2(t,e);var r=t.isub(e);return r.cmpn(0)<0&&r.iadd(this.m),r},T.prototype.shl=function(t,e){return this._verify1(t),this.imod(t.ushln(e))},T.prototype.imul=function(t,e){return this._verify2(t,e),this.imod(t.imul(e))},T.prototype.mul=function(t,e){return this._verify2(t,e),this.imod(t.mul(e))},T.prototype.isqr=function(t){return this.imul(t,t.clone())},T.prototype.sqr=function(t){return this.mul(t,t)},T.prototype.sqrt=function(t){if(t.isZero())return t.clone();var e=this.m.andln(3);if(n(e%2==1),3===e){var r=this.m.add(new a(1)).iushrn(2);return this.pow(t,r)}for(var i=this.m.subn(1),o=0;!i.isZero()&&0===i.andln(1);)o++,i.iushrn(1);n(!i.isZero());var s=new a(1).toRed(this),l=s.redNeg(),u=this.m.subn(1).iushrn(1),c=this.m.bitLength();for(c=new a(2*c*c).toRed(this);0!==this.pow(c,u).cmp(l);)c.redIAdd(l);for(var f=this.pow(c,i),h=this.pow(t,i.addn(1).iushrn(1)),p=this.pow(t,i),d=o;0!==p.cmp(s);){for(var v=p,g=0;0!==v.cmp(s);g++)v=v.redSqr();n(g=0;n--){for(var u=e.words[n],c=l-1;c>=0;c--){var f=u>>c&1;i!==r[0]&&(i=this.sqr(i)),0!==f||0!==o?(o<<=1,o|=f,(4==++s||0===n&&0===c)&&(i=this.mul(i,r[o]),s=0,o=0)):s=0}l=26}return i},T.prototype.convertTo=function(t){var e=t.umod(this.m);return e===t?e.clone():e},T.prototype.convertFrom=function(t){var e=t.clone();return e.red=null,e},a.mont=function(t){return new k(t)},i(k,T),k.prototype.convertTo=function(t){return this.imod(t.ushln(this.shift))},k.prototype.convertFrom=function(t){var e=this.imod(t.mul(this.rinv));return e.red=null,e},k.prototype.imul=function(t,e){if(t.isZero()||e.isZero())return t.words[0]=0,t.length=1,t;var r=t.imul(e),n=r.maskn(this.shift).mul(this.minv).imaskn(this.shift).mul(this.m),i=r.isub(n).iushrn(this.shift),a=i;return i.cmp(this.m)>=0?a=i.isub(this.m):i.cmpn(0)<0&&(a=i.iadd(this.m)),a._forceRed(this)},k.prototype.mul=function(t,e){if(t.isZero()||e.isZero())return new a(0)._forceRed(this);var r=t.mul(e),n=r.maskn(this.shift).mul(this.minv).imaskn(this.shift).mul(this.m),i=r.isub(n).iushrn(this.shift),o=i;return i.cmp(this.m)>=0?o=i.isub(this.m):i.cmpn(0)<0&&(o=i.iadd(this.m)),o._forceRed(this)},k.prototype.invm=function(t){return this.imod(t._invmp(this.m).mul(this.r2))._forceRed(this)}}(t=r.nmd(t),this)},2692:function(t){"use strict";t.exports=function(t){var e,r,n,i=t.length,a=0;for(e=0;e>>1;if(!(c<=0)){var f,h=i.mallocDouble(2*c*s),p=i.mallocInt32(s);if((s=l(t,c,h,p))>0){if(1===c&&n)a.init(s),f=a.sweepComplete(c,r,0,s,h,p,0,s,h,p);else{var d=i.mallocDouble(2*c*u),v=i.mallocInt32(u);(u=l(e,c,d,v))>0&&(a.init(s+u),f=1===c?a.sweepBipartite(c,r,0,s,h,p,0,u,d,v):o(c,r,n,s,h,p,u,d,v),i.free(d),i.free(v))}i.free(h),i.free(p)}return f}}}function c(t,e){n.push([t,e])}},7333:function(t,e){"use strict";function r(t){return t?function(t,e,r,n,i,a,o,s,l,u,c){return i-n>l-s?function(t,e,r,n,i,a,o,s,l,u,c){for(var f=2*t,h=n,p=f*n;hu-l?n?function(t,e,r,n,i,a,o,s,l,u,c){for(var f=2*t,h=n,p=f*n;h0;){var D=(O-=1)*b,z=w[D],R=w[D+1],F=w[D+2],B=w[D+3],N=w[D+4],j=w[D+5],U=O*_,V=T[U],q=T[U+1],H=1&j,G=!!(16&j),W=c,Y=S,X=L,Z=C;if(H&&(W=L,Y=C,X=c,Z=S),!(2&j&&R>=(F=g(t,z,R,F,W,Y,q))||4&j&&(R=y(t,z,R,F,W,Y,V))>=F)){var 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p=l[f-2];if(p.left===h)if(h.left===s){if(!(d=p.right)||0!==d._color){p._color=0,p.left=h.right,h._color=1,h.right=p,l[f-2]=h,l[f-1]=s,i(p),i(h),f>=3&&((v=l[f-3]).left===p?v.left=h:v.right=h);break}h._color=1,p.right=n(1,d),p._color=0,f-=1}else{if(!(d=p.right)||0!==d._color){h.right=s.left,p._color=0,p.left=s.right,s._color=1,s.left=h,s.right=p,l[f-2]=s,l[f-1]=h,i(p),i(h),i(s),f>=3&&((v=l[f-3]).left===p?v.left=s:v.right=s);break}h._color=1,p.right=n(1,d),p._color=0,f-=1}else if(h.right===s){if(!(d=p.left)||0!==d._color){p._color=0,p.right=h.left,h._color=1,h.left=p,l[f-2]=h,l[f-1]=s,i(p),i(h),f>=3&&((v=l[f-3]).right===p?v.right=h:v.left=h);break}h._color=1,p.left=n(1,d),p._color=0,f-=1}else{var d;if(!(d=p.left)||0!==d._color){var v;h.left=s.right,p._color=0,p.right=s.left,s._color=1,s.right=h,s.left=p,l[f-2]=s,l[f-1]=h,i(p),i(h),i(s),f>=3&&((v=l[f-3]).right===p?v.right=s:v.left=s);break}h._color=1,p.left=n(1,d),p._color=0,f-=1}}return l[0]._color=1,new 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e=this._compare,r=this.root,n=[],i=0;r;){var a=e(t,r.key);n.push(r),a>0&&(i=n.length),r=a<=0?r.left:r.right}return n.length=i,new c(this,n)},o.le=function(t){for(var e=this._compare,r=this.root,n=[],i=0;r;){var a=e(t,r.key);n.push(r),a>=0&&(i=n.length),r=a<0?r.left:r.right}return n.length=i,new c(this,n)},o.find=function(t){for(var e=this._compare,r=this.root,n=[];r;){var i=e(t,r.key);if(n.push(r),0===i)return new c(this,n);r=i<=0?r.left:r.right}return new c(this,[])},o.remove=function(t){var e=this.find(t);return e?e.remove():this},o.get=function(t){for(var e=this._compare,r=this.root;r;){var n=e(t,r.key);if(0===n)return r.value;r=n<=0?r.left:r.right}};var f=c.prototype;function h(t,e){t.key=e.key,t.value=e.value,t.left=e.left,t.right=e.right,t._color=e._color,t._count=e._count}function p(t,e){return te?1:0}Object.defineProperty(f,"valid",{get:function(){return this._stack.length>0}}),Object.defineProperty(f,"node",{get:function(){return this._stack.length>0?this._stack[this._stack.length-1]:null},enumerable:!0}),f.clone=function(){return new c(this.tree,this._stack.slice())},f.remove=function(){var t=this._stack;if(0===t.length)return this.tree;var o=new Array(t.length),s=t[t.length-1];o[o.length-1]=new e(s._color,s.key,s.value,s.left,s.right,s._count);for(var l=t.length-2;l>=0;--l)(s=t[l]).left===t[l+1]?o[l]=new e(s._color,s.key,s.value,o[l+1],s.right,s._count):o[l]=new e(s._color,s.key,s.value,s.left,o[l+1],s._count);if((s=o[o.length-1]).left&&s.right){var u=o.length;for(s=s.left;s.right;)o.push(s),s=s.right;var c=o[u-1];for(o.push(new e(s._color,c.key,c.value,s.left,s.right,s._count)),o[u-1].key=s.key,o[u-1].value=s.value,l=o.length-2;l>=u;--l)s=o[l],o[l]=new e(s._color,s.key,s.value,s.left,o[l+1],s._count);o[u-1].left=o[u]}if(0===(s=o[o.length-1])._color){var f=o[o.length-2];for(f.left===s?f.left=null:f.right===s&&(f.right=null),o.pop(),l=0;l=0;--l){if(e=t[l],0===l)return void(e._color=1);if((a=t[l-1]).left===e){if((o=a.right).right&&0===o.right._color)return s=(o=a.right=r(o)).right=r(o.right),a.right=o.left,o.left=a,o.right=s,o._color=a._color,e._color=1,a._color=1,s._color=1,i(a),i(o),l>1&&((u=t[l-2]).left===a?u.left=o:u.right=o),void(t[l-1]=o);if(o.left&&0===o.left._color)return s=(o=a.right=r(o)).left=r(o.left),a.right=s.left,o.left=s.right,s.left=a,s.right=o,s._color=a._color,a._color=1,o._color=1,e._color=1,i(a),i(o),i(s),l>1&&((u=t[l-2]).left===a?u.left=s:u.right=s),void(t[l-1]=s);if(1===o._color){if(0===a._color)return a._color=1,void(a.right=n(0,o));a.right=n(0,o);continue}o=r(o),a.right=o.left,o.left=a,o._color=a._color,a._color=0,i(a),i(o),l>1&&((u=t[l-2]).left===a?u.left=o:u.right=o),t[l-1]=o,t[l]=a,l+11&&((u=t[l-2]).right===a?u.right=o:u.left=o),void(t[l-1]=o);if(o.right&&0===o.right._color)return s=(o=a.left=r(o)).right=r(o.right),a.left=s.right,o.right=s.left,s.right=a,s.left=o,s._color=a._color,a._color=1,o._color=1,e._color=1,i(a),i(o),i(s),l>1&&((u=t[l-2]).right===a?u.right=s:u.left=s),void(t[l-1]=s);if(1===o._color){if(0===a._color)return a._color=1,void(a.left=n(0,o));a.left=n(0,o);continue}var u;o=r(o),a.left=o.right,o.right=a,o._color=a._color,a._color=0,i(a),i(o),l>1&&((u=t[l-2]).right===a?u.right=o:u.left=o),t[l-1]=o,t[l]=a,l+10)return this._stack[this._stack.length-1].key},enumerable:!0}),Object.defineProperty(f,"value",{get:function(){if(this._stack.length>0)return this._stack[this._stack.length-1].value},enumerable:!0}),Object.defineProperty(f,"index",{get:function(){var t=0,e=this._stack;if(0===e.length){var r=this.tree.root;return r?r._count:0}e[e.length-1].left&&(t=e[e.length-1].left._count);for(var n=e.length-2;n>=0;--n)e[n+1]===e[n].right&&(++t,e[n].left&&(t+=e[n].left._count));return t},enumerable:!0}),f.next=function(){var t=this._stack;if(0!==t.length){var e=t[t.length-1];if(e.right)for(e=e.right;e;)t.push(e),e=e.left;else for(t.pop();t.length>0&&t[t.length-1].right===e;)e=t[t.length-1],t.pop()}},Object.defineProperty(f,"hasNext",{get:function(){var t=this._stack;if(0===t.length)return!1;if(t[t.length-1].right)return!0;for(var e=t.length-1;e>0;--e)if(t[e-1].left===t[e])return!0;return!1}}),f.update=function(t){var r=this._stack;if(0===r.length)throw new Error("Can't update empty node!");var n=new Array(r.length),i=r[r.length-1];n[n.length-1]=new e(i._color,i.key,t,i.left,i.right,i._count);for(var o=r.length-2;o>=0;--o)(i=r[o]).left===r[o+1]?n[o]=new e(i._color,i.key,i.value,n[o+1],i.right,i._count):n[o]=new e(i._color,i.key,i.value,i.left,n[o+1],i._count);return new a(this.tree._compare,n[0])},f.prev=function(){var t=this._stack;if(0!==t.length){var e=t[t.length-1];if(e.left)for(e=e.left;e;)t.push(e),e=e.right;else for(t.pop();t.length>0&&t[t.length-1].left===e;)e=t[t.length-1],t.pop()}},Object.defineProperty(f,"hasPrev",{get:function(){var t=this._stack;if(0===t.length)return!1;if(t[t.length-1].left)return!0;for(var e=t.length-1;e>0;--e)if(t[e-1].right===t[e])return!0;return!1}})},7453:function(t,e,r){"use strict";t.exports=function(t,e){var r=new c(t);return r.update(e),r};var n=r(9557),i=r(1681),a=r(1011),o=r(2864),s=r(8468),l=new Float32Array([1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1]);function u(t,e){return t[0]=e[0],t[1]=e[1],t[2]=e[2],t}function c(t){this.gl=t,this.pixelRatio=1,this.bounds=[[-10,-10,-10],[10,10,10]],this.ticks=[[],[],[]],this.autoTicks=!0,this.tickSpacing=[1,1,1],this.tickEnable=[!0,!0,!0],this.tickFont=["sans-serif","sans-serif","sans-serif"],this.tickSize=[12,12,12],this.tickAngle=[0,0,0],this.tickAlign=["auto","auto","auto"],this.tickColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.tickPad=[10,10,10],this.lastCubeProps={cubeEdges:[0,0,0],axis:[0,0,0]},this.labels=["x","y","z"],this.labelEnable=[!0,!0,!0],this.labelFont="sans-serif",this.labelSize=[20,20,20],this.labelAngle=[0,0,0],this.labelAlign=["auto","auto","auto"],this.labelColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.labelPad=[10,10,10],this.lineEnable=[!0,!0,!0],this.lineMirror=[!1,!1,!1],this.lineWidth=[1,1,1],this.lineColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.lineTickEnable=[!0,!0,!0],this.lineTickMirror=[!1,!1,!1],this.lineTickLength=[0,0,0],this.lineTickWidth=[1,1,1],this.lineTickColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.gridEnable=[!0,!0,!0],this.gridWidth=[1,1,1],this.gridColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.zeroEnable=[!0,!0,!0],this.zeroLineColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.zeroLineWidth=[2,2,2],this.backgroundEnable=[!1,!1,!1],this.backgroundColor=[[.8,.8,.8,.5],[.8,.8,.8,.5],[.8,.8,.8,.5]],this._firstInit=!0,this._text=null,this._lines=null,this._background=a(t)}var 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I=(A+1+O)%3,D=(A+1+(1^O))%3;this.gridEnable[I]&&this._lines.drawGrid(I,D,this.bounds,P,this.gridColor[I],this.gridWidth[I]*this.pixelRatio)}for(O=0;O<2;++O)I=(A+1+O)%3,D=(A+1+(1^O))%3,this.zeroEnable[D]&&Math.min(a[0][D],a[1][D])<=0&&Math.max(a[0][D],a[1][D])>=0&&this._lines.drawZero(I,D,this.bounds,P,this.zeroLineColor[D],this.zeroLineWidth[D]*this.pixelRatio)}for(A=0;A<3;++A){this.lineEnable[A]&&this._lines.drawAxisLine(A,this.bounds,M[A].primalOffset,this.lineColor[A],this.lineWidth[A]*this.pixelRatio),this.lineMirror[A]&&this._lines.drawAxisLine(A,this.bounds,M[A].mirrorOffset,this.lineColor[A],this.lineWidth[A]*this.pixelRatio);var z=u(y,M[A].primalMinor),R=u(m,M[A].mirrorMinor),F=this.lineTickLength;for(O=0;O<3;++O){var B=k/r[5*O];z[O]*=F[O]*B,R[O]*=F[O]*B}this.lineTickEnable[A]&&this._lines.drawAxisTicks(A,M[A].primalOffset,z,this.lineTickColor[A],this.lineTickWidth[A]*this.pixelRatio),this.lineTickMirror[A]&&this._lines.drawAxisTicks(A,M[A].mirrorOffset,R,this.lineTickColor[A],this.lineTickWidth[A]*this.pixelRatio)}function N(t){(L=[0,0,0])[t]=1}function j(t,e,r){var n=(t+1)%3,i=(t+2)%3,a=e[n],o=e[i],s=r[n],l=r[i];a>0&&l>0||a>0&&l<0||a<0&&l>0||a<0&&l<0?N(n):(o>0&&s>0||o>0&&s<0||o<0&&s>0||o<0&&s<0)&&N(i)}for(this._lines.unbind(),this._text.bind(r,n,i,this.pixelRatio),A=0;A<3;++A){var U=M[A].primalMinor,V=M[A].mirrorMinor,q=u(x,M[A].primalOffset);for(O=0;O<3;++O)this.lineTickEnable[A]&&(q[O]+=k*U[O]*Math.max(this.lineTickLength[O],0)/r[5*O]);var H=[0,0,0];if(H[A]=1,this.tickEnable[A]){for(-3600===this.tickAngle[A]?(this.tickAngle[A]=0,this.tickAlign[A]="auto"):this.tickAlign[A]=-1,E=1,"auto"===(S=[this.tickAlign[A],.5,E])[0]?S[0]=0:S[0]=parseInt(""+S[0]),L=[0,0,0],j(A,U,V),O=0;O<3;++O)q[O]+=k*U[O]*this.tickPad[O]/r[5*O];this._text.drawTicks(A,this.tickSize[A],this.tickAngle[A],q,this.tickColor[A],H,L,S)}if(this.labelEnable[A]){for(E=0,L=[0,0,0],this.labels[A].length>4&&(N(A),E=1),"auto"===(S=[this.labelAlign[A],.5,E])[0]?S[0]=0:S[0]=parseInt(""+S[0]),O=0;O<3;++O)q[O]+=k*U[O]*this.labelPad[O]/r[5*O];q[A]+=.5*(a[0][A]+a[1][A]),this._text.drawLabel(A,this.labelSize[A],this.labelAngle[A],q,this.labelColor[A],[0,0,0],L,S)}}this._text.unbind()},f.dispose=function(){this._text.dispose(),this._lines.dispose(),this._background.dispose(),this._lines=null,this._text=null,this._background=null,this.gl=null}},1011:function(t,e,r){"use strict";t.exports=function(t){for(var e=[],r=[],s=0,l=0;l<3;++l)for(var u=(l+1)%3,c=(l+2)%3,f=[0,0,0],h=[0,0,0],p=-1;p<=1;p+=2){r.push(s,s+2,s+1,s+1,s+2,s+3),f[l]=p,h[l]=p;for(var d=-1;d<=1;d+=2){f[u]=d;for(var v=-1;v<=1;v+=2)f[c]=v,e.push(f[0],f[1],f[2],h[0],h[1],h[2]),s+=1}var g=u;u=c,c=g}var y=n(t,new Float32Array(e)),m=n(t,new Uint16Array(r),t.ELEMENT_ARRAY_BUFFER),x=i(t,[{buffer:y,type:t.FLOAT,size:3,offset:0,stride:24},{buffer:y,type:t.FLOAT,size:3,offset:12,stride:24}],m),b=a(t);return b.attributes.position.location=0,b.attributes.normal.location=1,new o(t,y,x,b)};var n=r(5827),i=r(2944),a=r(1943).bg;function o(t,e,r,n){this.gl=t,this.buffer=e,this.vao=r,this.shader=n}var s=o.prototype;s.draw=function(t,e,r,n,i,a){for(var o=!1,s=0;s<3;++s)o=o||i[s];if(o){var l=this.gl;l.enable(l.POLYGON_OFFSET_FILL),l.polygonOffset(1,2),this.shader.bind(),this.shader.uniforms={model:t,view:e,projection:r,bounds:n,enable:i,colors:a},this.vao.bind(),this.vao.draw(this.gl.TRIANGLES,36),this.vao.unbind(),l.disable(l.POLYGON_OFFSET_FILL)}},s.dispose=function(){this.vao.dispose(),this.buffer.dispose(),this.shader.dispose()}},2864:function(t,e,r){"use strict";t.exports=function(t,e,r,a,p){i(s,e,t),i(s,r,s);for(var m=0,x=0;x<2;++x){c[2]=a[x][2];for(var b=0;b<2;++b){c[1]=a[b][1];for(var _=0;_<2;++_)c[0]=a[_][0],h(l[m],c,s),m+=1}}var w=-1;for(x=0;x<8;++x){for(var T=l[x][3],k=0;k<3;++k)u[x][k]=l[x][k]/T;p&&(u[x][2]*=-1),T<0&&(w<0||u[x][2]E&&(w|=1<E&&(w|=1<u[x][1])&&(R=x);var F=-1;for(x=0;x<3;++x)(N=R^1<u[B][0]&&(B=N))}var j=v;j[0]=j[1]=j[2]=0,j[n.log2(F^R)]=R&F,j[n.log2(R^B)]=R&B;var U=7^B;U===w||U===z?(U=7^F,j[n.log2(B^U)]=U&B):j[n.log2(F^U)]=U&F;var V=g,q=w;for(A=0;A<3;++A)V[A]=q&1< HALF_PI) && (b <= ONE_AND_HALF_PI)) ?\n b - PI :\n b;\n}\n\nfloat look_horizontal_or_vertical(float a, float ratio) {\n // ratio controls the ratio between being horizontal to (vertical + horizontal)\n // if ratio is set to 0.5 then it is 50%, 50%.\n // when using a higher ratio e.g. 0.75 the result would\n // likely be more horizontal than vertical.\n\n float b = positive_angle(a);\n\n return\n (b < ( ratio) * HALF_PI) ? 0.0 :\n (b < (2.0 - ratio) * HALF_PI) ? -HALF_PI :\n (b < (2.0 + ratio) * HALF_PI) ? 0.0 :\n (b < (4.0 - ratio) * HALF_PI) ? HALF_PI :\n 0.0;\n}\n\nfloat roundTo(float a, float b) {\n return float(b * floor((a + 0.5 * b) / b));\n}\n\nfloat look_round_n_directions(float a, int n) {\n float b = positive_angle(a);\n float div = TWO_PI / float(n);\n float c = roundTo(b, div);\n return look_upwards(c);\n}\n\nfloat applyAlignOption(float rawAngle, float delta) {\n return\n (option > 2) ? look_round_n_directions(rawAngle + delta, option) : // option 3-n: round to n directions\n (option == 2) ? look_horizontal_or_vertical(rawAngle + delta, hv_ratio) : // horizontal or vertical\n (option == 1) ? rawAngle + delta : // use free angle, and flip to align with one direction of the axis\n (option == 0) ? look_upwards(rawAngle) : // use free angle, and stay upwards\n (option ==-1) ? 0.0 : // useful for backward compatibility, all texts remains horizontal\n rawAngle; // otherwise return back raw input angle\n}\n\nbool isAxisTitle = (axis.x == 0.0) &&\n (axis.y == 0.0) &&\n (axis.z == 0.0);\n\nvoid main() {\n //Compute world offset\n float axisDistance = position.z;\n vec3 dataPosition = axisDistance * axis + offset;\n\n float beta = angle; // i.e. user defined attributes for each tick\n\n float axisAngle;\n float clipAngle;\n float flip;\n\n if (enableAlign) {\n axisAngle = (isAxisTitle) ? HALF_PI :\n computeViewAngle(dataPosition, dataPosition + axis);\n clipAngle = computeViewAngle(dataPosition, dataPosition + alignDir);\n\n axisAngle += (sin(axisAngle) < 0.0) ? PI : 0.0;\n clipAngle += (sin(clipAngle) < 0.0) ? PI : 0.0;\n\n flip = (dot(vec2(cos(axisAngle), sin(axisAngle)),\n vec2(sin(clipAngle),-cos(clipAngle))) > 0.0) ? 1.0 : 0.0;\n\n beta += applyAlignOption(clipAngle, flip * PI);\n }\n\n //Compute plane offset\n vec2 planeCoord = position.xy * pixelScale;\n\n mat2 planeXform = scale * mat2(\n cos(beta), sin(beta),\n -sin(beta), cos(beta)\n );\n\n vec2 viewOffset = 2.0 * planeXform * planeCoord / resolution;\n\n //Compute clip position\n vec3 clipPosition = project(dataPosition);\n\n //Apply text offset in clip coordinates\n clipPosition += vec3(viewOffset, 0.0);\n\n //Done\n gl_Position = vec4(clipPosition, 1.0);\n}"]),l=n(["precision highp float;\n#define GLSLIFY 1\n\nuniform vec4 color;\nvoid main() {\n gl_FragColor = color;\n}"]);e.f=function(t){return i(t,s,l,null,[{name:"position",type:"vec3"}])};var u=n(["precision highp float;\n#define GLSLIFY 1\n\nattribute vec3 position;\nattribute vec3 normal;\n\nuniform mat4 model, view, projection;\nuniform vec3 enable;\nuniform vec3 bounds[2];\n\nvarying vec3 colorChannel;\n\nvoid main() {\n\n vec3 signAxis = sign(bounds[1] - bounds[0]);\n\n vec3 realNormal = signAxis * normal;\n\n if(dot(realNormal, enable) > 0.0) {\n vec3 minRange = min(bounds[0], bounds[1]);\n vec3 maxRange = max(bounds[0], bounds[1]);\n vec3 nPosition = mix(minRange, maxRange, 0.5 * (position + 1.0));\n gl_Position = projection * view * model * vec4(nPosition, 1.0);\n } else {\n gl_Position = vec4(0,0,0,0);\n }\n\n colorChannel = abs(realNormal);\n}"]),c=n(["precision highp float;\n#define GLSLIFY 1\n\nuniform vec4 colors[3];\n\nvarying vec3 colorChannel;\n\nvoid main() {\n gl_FragColor = colorChannel.x * colors[0] +\n colorChannel.y * colors[1] +\n colorChannel.z * colors[2];\n}"]);e.bg=function(t){return i(t,u,c,null,[{name:"position",type:"vec3"},{name:"normal",type:"vec3"}])}},9557:function(t,e,r){"use strict";t.exports=function(t,e,r,i,o,l){var u=n(t),f=a(t,[{buffer:u,size:3}]),h=s(t);h.attributes.position.location=0;var p=new c(t,h,u,f);return p.update(e,r,i,o,l),p};var n=r(5827),a=r(2944),o=r(875),s=r(1943).f,l=window||i.global||{},u=l.__TEXT_CACHE||{};function c(t,e,r,n){this.gl=t,this.shader=e,this.buffer=r,this.vao=n,this.tickOffset=this.tickCount=this.labelOffset=this.labelCount=null}l.__TEXT_CACHE={};var f=c.prototype,h=[0,0];f.bind=function(t,e,r,n){this.vao.bind(),this.shader.bind();var i=this.shader.uniforms;i.model=t,i.view=e,i.projection=r,i.pixelScale=n,h[0]=this.gl.drawingBufferWidth,h[1]=this.gl.drawingBufferHeight,this.shader.uniforms.resolution=h},f.unbind=function(){this.vao.unbind()},f.update=function(t,e,r,n,i){var a=[];function s(t,e,r,n,i,s){var l=u[r];l||(l=u[r]={});var c=l[e];c||(c=l[e]=function(t,e){try{return o(t,e)}catch(e){return console.warn('error vectorizing text:"'+t+'" error:',e),{cells:[],positions:[]}}}(e,{triangles:!0,font:r,textAlign:"center",textBaseline:"middle",lineSpacing:i,styletags:s}));for(var f=(n||12)/12,h=c.positions,p=c.cells,d=0,v=p.length;d=0;--y){var m=h[g[y]];a.push(f*m[0],-f*m[1],t)}}for(var l=[0,0,0],c=[0,0,0],f=[0,0,0],h=[0,0,0],p={breaklines:!0,bolds:!0,italics:!0,subscripts:!0,superscripts:!0},d=0;d<3;++d){f[d]=a.length/3|0,s(.5*(t[0][d]+t[1][d]),e[d],r[d],12,1.25,p),h[d]=(a.length/3|0)-f[d],l[d]=a.length/3|0;for(var v=0;v=0&&(i=r.length-n-1);var a=Math.pow(10,i),o=Math.round(t*e*a),s=o+"";if(s.indexOf("e")>=0)return s;var l=o/a,u=o%a;o<0?(l=0|-Math.ceil(l),u=0|-u):(l=0|Math.floor(l),u|=0);var c=""+l;if(o<0&&(c="-"+c),i){for(var f=""+u;f.length=t[0][i];--o)a.push({x:o*e[i],text:r(e[i],o)});n.push(a)}return n},e.equal=function(t,e){for(var r=0;r<3;++r){if(t[r].length!==e[r].length)return!1;for(var n=0;nr)throw new Error("gl-buffer: If resizing buffer, must not specify offset");return t.bufferSubData(e,a,i),r}function c(t,e){for(var r=n.malloc(t.length,e),i=t.length,a=0;a=0;--n){if(e[n]!==r)return!1;r*=t[n]}return!0}(t.shape,t.stride))0===t.offset&&t.data.length===t.shape[0]?this.length=u(this.gl,this.type,this.length,this.usage,t.data,e):this.length=u(this.gl,this.type,this.length,this.usage,t.data.subarray(t.offset,t.shape[0]),e);else{var s=n.malloc(t.size,r),l=a(s,t.shape);i.assign(l,t),this.length=u(this.gl,this.type,this.length,this.usage,e<0?s:s.subarray(0,t.size),e),n.free(s)}}else if(Array.isArray(t)){var f;f=this.type===this.gl.ELEMENT_ARRAY_BUFFER?c(t,"uint16"):c(t,"float32"),this.length=u(this.gl,this.type,this.length,this.usage,e<0?f:f.subarray(0,t.length),e),n.free(f)}else if("object"==typeof t&&"number"==typeof t.length)this.length=u(this.gl,this.type,this.length,this.usage,t,e);else{if("number"!=typeof t&&void 0!==t)throw new Error("gl-buffer: Invalid data type");if(e>=0)throw new Error("gl-buffer: Cannot specify offset when resizing buffer");(t|=0)<=0&&(t=1),this.gl.bufferData(this.type,0|t,this.usage),this.length=t}},t.exports=function(t,e,r,n){if(r=r||t.ARRAY_BUFFER,n=n||t.DYNAMIC_DRAW,r!==t.ARRAY_BUFFER&&r!==t.ELEMENT_ARRAY_BUFFER)throw new Error("gl-buffer: Invalid type for webgl buffer, must be either gl.ARRAY_BUFFER or gl.ELEMENT_ARRAY_BUFFER");if(n!==t.DYNAMIC_DRAW&&n!==t.STATIC_DRAW&&n!==t.STREAM_DRAW)throw new Error("gl-buffer: Invalid usage for buffer, must be either gl.DYNAMIC_DRAW, gl.STATIC_DRAW or gl.STREAM_DRAW");var i=t.createBuffer(),a=new s(t,r,i,0,n);return a.update(e),a}},1140:function(t,e,r){"use strict";var n=r(2858);t.exports=function(t,e){var r=t.positions,i=t.vectors,a={positions:[],vertexIntensity:[],vertexIntensityBounds:t.vertexIntensityBounds,vectors:[],cells:[],coneOffset:t.coneOffset,colormap:t.colormap};if(0===t.positions.length)return e&&(e[0]=[0,0,0],e[1]=[0,0,0]),a;for(var o=0,s=1/0,l=-1/0,u=1/0,c=-1/0,f=1/0,h=-1/0,p=null,d=null,v=[],g=1/0,y=!1,m=0;mo&&(o=n.length(b)),m){var _=2*n.distance(p,x)/(n.length(d)+n.length(b));_?(g=Math.min(g,_),y=!1):y=!0}y||(p=x,d=b),v.push(b)}var w=[s,u,f],T=[l,c,h];e&&(e[0]=w,e[1]=T),0===o&&(o=1);var k=1/o;isFinite(g)||(g=1),a.vectorScale=g;var A=t.coneSize||.5;t.absoluteConeSize&&(A=t.absoluteConeSize*k),a.coneScale=A,m=0;for(var M=0;m=1},p.isTransparent=function(){return this.opacity<1},p.pickSlots=1,p.setPickBase=function(t){this.pickId=t},p.update=function(t){t=t||{};var e=this.gl;this.dirty=!0,"lightPosition"in t&&(this.lightPosition=t.lightPosition),"opacity"in t&&(this.opacity=t.opacity),"ambient"in t&&(this.ambientLight=t.ambient),"diffuse"in t&&(this.diffuseLight=t.diffuse),"specular"in t&&(this.specularLight=t.specular),"roughness"in t&&(this.roughness=t.roughness),"fresnel"in t&&(this.fresnel=t.fresnel),void 0!==t.tubeScale&&(this.tubeScale=t.tubeScale),void 0!==t.vectorScale&&(this.vectorScale=t.vectorScale),void 0!==t.coneScale&&(this.coneScale=t.coneScale),void 0!==t.coneOffset&&(this.coneOffset=t.coneOffset),t.colormap&&(this.texture.shape=[256,256],this.texture.minFilter=e.LINEAR_MIPMAP_LINEAR,this.texture.magFilter=e.LINEAR,this.texture.setPixels(function(t){for(var e=c({colormap:t,nshades:256,format:"rgba"}),r=new Uint8Array(1024),n=0;n<256;++n){for(var i=e[n],a=0;a<3;++a)r[4*n+a]=i[a];r[4*n+3]=255*i[3]}return u(r,[256,256,4],[4,0,1])}(t.colormap)),this.texture.generateMipmap());var r=t.cells,n=t.positions,i=t.vectors;if(n&&r&&i){var a=[],o=[],s=[],l=[],f=[];this.cells=r,this.positions=n,this.vectors=i;var h=t.meshColor||[1,1,1,1],p=t.vertexIntensity,d=1/0,v=-1/0;if(p)if(t.vertexIntensityBounds)d=+t.vertexIntensityBounds[0],v=+t.vertexIntensityBounds[1];else for(var g=0;g0){var v=this.triShader;v.bind(),v.uniforms=u,this.triangleVAO.bind(),e.drawArrays(e.TRIANGLES,0,3*this.triangleCount),this.triangleVAO.unbind()}},p.drawPick=function(t){t=t||{};for(var e=this.gl,r=t.model||f,n=t.view||f,i=t.projection||f,a=[[-1e6,-1e6,-1e6],[1e6,1e6,1e6]],o=0;o<3;++o)a[0][o]=Math.max(a[0][o],this.clipBounds[0][o]),a[1][o]=Math.min(a[1][o],this.clipBounds[1][o]);this._model=[].slice.call(r),this._view=[].slice.call(n),this._projection=[].slice.call(i),this._resolution=[e.drawingBufferWidth,e.drawingBufferHeight];var s={model:r,view:n,projection:i,clipBounds:a,tubeScale:this.tubeScale,vectorScale:this.vectorScale,coneScale:this.coneScale,coneOffset:this.coneOffset,pickId:this.pickId/255},l=this.pickShader;l.bind(),l.uniforms=s,this.triangleCount>0&&(this.triangleVAO.bind(),e.drawArrays(e.TRIANGLES,0,3*this.triangleCount),this.triangleVAO.unbind())},p.pick=function(t){if(!t)return null;if(t.id!==this.pickId)return null;var e=t.value[0]+256*t.value[1]+65536*t.value[2],r=this.cells[e],n=this.positions[r[1]].slice(0,3),i={position:n,dataCoordinate:n,index:Math.floor(r[1]/48)};return"cone"===this.traceType?i.index=Math.floor(r[1]/48):"streamtube"===this.traceType&&(i.intensity=this.intensity[r[1]],i.velocity=this.vectors[r[1]].slice(0,3),i.divergence=this.vectors[r[1]][3],i.index=e),i},p.dispose=function(){this.texture.dispose(),this.triShader.dispose(),this.pickShader.dispose(),this.triangleVAO.dispose(),this.trianglePositions.dispose(),this.triangleVectors.dispose(),this.triangleColors.dispose(),this.triangleUVs.dispose(),this.triangleIds.dispose()},t.exports=function(t,e,r){var s=r.shaders;1===arguments.length&&(t=(e=t).gl);var l=function(t,e){var r=n(t,e.meshShader.vertex,e.meshShader.fragment,null,e.meshShader.attributes);return r.attributes.position.location=0,r.attributes.color.location=2,r.attributes.uv.location=3,r.attributes.vector.location=4,r}(t,s),c=function(t,e){var r=n(t,e.pickShader.vertex,e.pickShader.fragment,null,e.pickShader.attributes);return r.attributes.position.location=0,r.attributes.id.location=1,r.attributes.vector.location=4,r}(t,s),f=o(t,u(new Uint8Array([255,255,255,255]),[1,1,4]));f.generateMipmap(),f.minFilter=t.LINEAR_MIPMAP_LINEAR,f.magFilter=t.LINEAR;var p=i(t),d=i(t),v=i(t),g=i(t),y=i(t),m=new h(t,f,l,c,p,d,y,v,g,a(t,[{buffer:p,type:t.FLOAT,size:4},{buffer:y,type:t.UNSIGNED_BYTE,size:4,normalized:!0},{buffer:v,type:t.FLOAT,size:4},{buffer:g,type:t.FLOAT,size:2},{buffer:d,type:t.FLOAT,size:4}]),r.traceType||"cone");return m.update(e),m}},7234:function(t,e,r){var n=r(6832),i=n(["precision highp float;\n\nprecision highp float;\n#define GLSLIFY 1\n\nvec3 getOrthogonalVector(vec3 v) {\n // Return up-vector for only-z vector.\n // Return ax + by + cz = 0, a point that lies on the plane that has v as a normal and that isn't (0,0,0).\n // From the above if-statement we have ||a|| > 0 U ||b|| > 0.\n // Assign z = 0, x = -b, y = a:\n // a*-b + b*a + c*0 = -ba + ba + 0 = 0\n if (v.x*v.x > v.z*v.z || v.y*v.y > v.z*v.z) {\n return normalize(vec3(-v.y, v.x, 0.0));\n } else {\n return normalize(vec3(0.0, v.z, -v.y));\n }\n}\n\n// Calculate the cone vertex and normal at the given index.\n//\n// The returned vertex is for a cone with its top at origin and height of 1.0,\n// pointing in the direction of the vector attribute.\n//\n// Each cone is made up of a top vertex, a center base vertex and base perimeter vertices.\n// These vertices are used to make up the triangles of the cone by the following:\n// segment + 0 top vertex\n// segment + 1 perimeter vertex a+1\n// segment + 2 perimeter vertex a\n// segment + 3 center base vertex\n// segment + 4 perimeter vertex a\n// segment + 5 perimeter vertex a+1\n// Where segment is the number of the radial segment * 6 and a is the angle at that radial segment.\n// To go from index to segment, floor(index / 6)\n// To go from segment to angle, 2*pi * (segment/segmentCount)\n// To go from index to segment index, index - (segment*6)\n//\nvec3 getConePosition(vec3 d, float rawIndex, float coneOffset, out vec3 normal) {\n\n const float segmentCount = 8.0;\n\n float index = rawIndex - floor(rawIndex /\n (segmentCount * 6.0)) *\n (segmentCount * 6.0);\n\n float segment = floor(0.001 + index/6.0);\n float segmentIndex = index - (segment*6.0);\n\n normal = -normalize(d);\n\n if (segmentIndex > 2.99 && segmentIndex < 3.01) {\n return mix(vec3(0.0), -d, coneOffset);\n }\n\n float nextAngle = (\n (segmentIndex > 0.99 && segmentIndex < 1.01) ||\n (segmentIndex > 4.99 && segmentIndex < 5.01)\n ) ? 1.0 : 0.0;\n float angle = 2.0 * 3.14159 * ((segment + nextAngle) / segmentCount);\n\n vec3 v1 = mix(d, vec3(0.0), coneOffset);\n vec3 v2 = v1 - d;\n\n vec3 u = getOrthogonalVector(d);\n vec3 v = normalize(cross(u, d));\n\n vec3 x = u * cos(angle) * length(d)*0.25;\n vec3 y = v * sin(angle) * length(d)*0.25;\n vec3 v3 = v2 + x + y;\n if (segmentIndex < 3.0) {\n vec3 tx = u * sin(angle);\n vec3 ty = v * -cos(angle);\n vec3 tangent = tx + ty;\n normal = normalize(cross(v3 - v1, tangent));\n }\n\n if (segmentIndex == 0.0) {\n return mix(d, vec3(0.0), coneOffset);\n }\n return v3;\n}\n\nattribute vec3 vector;\nattribute vec4 color, position;\nattribute vec2 uv;\n\nuniform float vectorScale, coneScale, coneOffset;\nuniform mat4 model, view, projection, inverseModel;\nuniform vec3 eyePosition, lightPosition;\n\nvarying vec3 f_normal, f_lightDirection, f_eyeDirection, f_data, f_position;\nvarying vec4 f_color;\nvarying vec2 f_uv;\n\nvoid main() {\n // Scale the vector magnitude to stay constant with\n // model & view changes.\n vec3 normal;\n vec3 XYZ = getConePosition(mat3(model) * ((vectorScale * coneScale) * vector), position.w, coneOffset, normal);\n vec4 conePosition = model * vec4(position.xyz, 1.0) + vec4(XYZ, 0.0);\n\n //Lighting geometry parameters\n vec4 cameraCoordinate = view * conePosition;\n cameraCoordinate.xyz /= cameraCoordinate.w;\n f_lightDirection = lightPosition - cameraCoordinate.xyz;\n f_eyeDirection = eyePosition - cameraCoordinate.xyz;\n f_normal = normalize((vec4(normal, 0.0) * inverseModel).xyz);\n\n // vec4 m_position = model * vec4(conePosition, 1.0);\n vec4 t_position = view * conePosition;\n gl_Position = projection * t_position;\n\n f_color = color;\n f_data = conePosition.xyz;\n f_position = position.xyz;\n f_uv = uv;\n}\n"]),a=n(["#extension GL_OES_standard_derivatives : enable\n\nprecision highp float;\n#define GLSLIFY 1\n\nfloat beckmannDistribution(float x, float roughness) {\n float NdotH = max(x, 0.0001);\n float cos2Alpha = NdotH * NdotH;\n float tan2Alpha = (cos2Alpha - 1.0) / cos2Alpha;\n float roughness2 = roughness * roughness;\n float denom = 3.141592653589793 * roughness2 * cos2Alpha * cos2Alpha;\n return exp(tan2Alpha / roughness2) / denom;\n}\n\nfloat cookTorranceSpecular(\n vec3 lightDirection,\n vec3 viewDirection,\n vec3 surfaceNormal,\n float roughness,\n float fresnel) {\n\n float VdotN = max(dot(viewDirection, surfaceNormal), 0.0);\n float LdotN = max(dot(lightDirection, surfaceNormal), 0.0);\n\n //Half angle vector\n vec3 H = normalize(lightDirection + viewDirection);\n\n //Geometric term\n float NdotH = max(dot(surfaceNormal, H), 0.0);\n float VdotH = max(dot(viewDirection, H), 0.000001);\n float LdotH = max(dot(lightDirection, H), 0.000001);\n float G1 = (2.0 * NdotH * VdotN) / VdotH;\n float G2 = (2.0 * NdotH * LdotN) / LdotH;\n float G = min(1.0, min(G1, G2));\n \n //Distribution term\n float D = beckmannDistribution(NdotH, roughness);\n\n //Fresnel term\n float F = pow(1.0 - VdotN, fresnel);\n\n //Multiply terms and done\n return G * F * D / max(3.14159265 * VdotN, 0.000001);\n}\n\nbool outOfRange(float a, float b, float p) {\n return ((p > max(a, b)) || \n (p < min(a, b)));\n}\n\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\n return (outOfRange(a.x, b.x, p.x) ||\n outOfRange(a.y, b.y, p.y));\n}\n\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\n return (outOfRange(a.x, b.x, p.x) ||\n outOfRange(a.y, b.y, p.y) ||\n outOfRange(a.z, b.z, p.z));\n}\n\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\n return outOfRange(a.xyz, b.xyz, p.xyz);\n}\n\nuniform vec3 clipBounds[2];\nuniform float roughness, fresnel, kambient, kdiffuse, kspecular, opacity;\nuniform sampler2D texture;\n\nvarying vec3 f_normal, f_lightDirection, f_eyeDirection, f_data, f_position;\nvarying vec4 f_color;\nvarying vec2 f_uv;\n\nvoid main() {\n if (outOfRange(clipBounds[0], clipBounds[1], f_position)) discard;\n vec3 N = normalize(f_normal);\n vec3 L = normalize(f_lightDirection);\n vec3 V = normalize(f_eyeDirection);\n\n if(gl_FrontFacing) {\n N = -N;\n }\n\n float specular = min(1.0, max(0.0, cookTorranceSpecular(L, V, N, roughness, fresnel)));\n float diffuse = min(kambient + kdiffuse * max(dot(N, L), 0.0), 1.0);\n\n vec4 surfaceColor = f_color * texture2D(texture, f_uv);\n vec4 litColor = surfaceColor.a * vec4(diffuse * surfaceColor.rgb + kspecular * vec3(1,1,1) * specular, 1.0);\n\n gl_FragColor = litColor * opacity;\n}\n"]),o=n(["precision highp float;\n\nprecision highp float;\n#define GLSLIFY 1\n\nvec3 getOrthogonalVector(vec3 v) {\n // Return up-vector for only-z vector.\n // Return ax + by + cz = 0, a point that lies on the plane that has v as a normal and that isn't (0,0,0).\n // From the above if-statement we have ||a|| > 0 U ||b|| > 0.\n // Assign z = 0, x = -b, y = a:\n // a*-b + b*a + c*0 = -ba + ba + 0 = 0\n if (v.x*v.x > v.z*v.z || v.y*v.y > v.z*v.z) {\n return normalize(vec3(-v.y, v.x, 0.0));\n } else {\n return normalize(vec3(0.0, v.z, -v.y));\n }\n}\n\n// Calculate the cone vertex and normal at the given index.\n//\n// The returned vertex is for a cone with its top at origin and height of 1.0,\n// pointing in the direction of the vector attribute.\n//\n// Each cone is made up of a top vertex, a center base vertex and base perimeter vertices.\n// These vertices are used to make up the triangles of the cone by the following:\n// segment + 0 top vertex\n// segment + 1 perimeter vertex a+1\n// segment + 2 perimeter vertex a\n// segment + 3 center base vertex\n// segment + 4 perimeter vertex a\n// segment + 5 perimeter vertex a+1\n// Where segment is the number of the radial segment * 6 and a is the angle at that radial segment.\n// To go from index to segment, floor(index / 6)\n// To go from segment to angle, 2*pi * (segment/segmentCount)\n// To go from index to segment index, index - (segment*6)\n//\nvec3 getConePosition(vec3 d, float rawIndex, float coneOffset, out vec3 normal) {\n\n const float segmentCount = 8.0;\n\n float index = rawIndex - floor(rawIndex /\n (segmentCount * 6.0)) *\n (segmentCount * 6.0);\n\n float segment = floor(0.001 + index/6.0);\n float segmentIndex = index - (segment*6.0);\n\n normal = -normalize(d);\n\n if (segmentIndex > 2.99 && segmentIndex < 3.01) {\n return mix(vec3(0.0), -d, coneOffset);\n }\n\n float nextAngle = (\n (segmentIndex > 0.99 && segmentIndex < 1.01) ||\n (segmentIndex > 4.99 && segmentIndex < 5.01)\n ) ? 1.0 : 0.0;\n float angle = 2.0 * 3.14159 * ((segment + nextAngle) / segmentCount);\n\n vec3 v1 = mix(d, vec3(0.0), coneOffset);\n vec3 v2 = v1 - d;\n\n vec3 u = getOrthogonalVector(d);\n vec3 v = normalize(cross(u, d));\n\n vec3 x = u * cos(angle) * length(d)*0.25;\n vec3 y = v * sin(angle) * length(d)*0.25;\n vec3 v3 = v2 + x + y;\n if (segmentIndex < 3.0) {\n vec3 tx = u * sin(angle);\n vec3 ty = v * -cos(angle);\n vec3 tangent = tx + ty;\n normal = normalize(cross(v3 - v1, tangent));\n }\n\n if (segmentIndex == 0.0) {\n return mix(d, vec3(0.0), coneOffset);\n }\n return v3;\n}\n\nattribute vec4 vector;\nattribute vec4 position;\nattribute vec4 id;\n\nuniform mat4 model, view, projection;\nuniform float vectorScale, coneScale, coneOffset;\n\nvarying vec3 f_position;\nvarying vec4 f_id;\n\nvoid main() {\n vec3 normal;\n vec3 XYZ = getConePosition(mat3(model) * ((vectorScale * coneScale) * vector.xyz), position.w, coneOffset, normal);\n vec4 conePosition = model * vec4(position.xyz, 1.0) + vec4(XYZ, 0.0);\n gl_Position = projection * view * conePosition;\n f_id = id;\n f_position = position.xyz;\n}\n"]),s=n(["precision highp float;\n#define GLSLIFY 1\n\nbool outOfRange(float a, float b, float p) {\n return ((p > max(a, b)) || \n (p < min(a, b)));\n}\n\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\n return (outOfRange(a.x, b.x, p.x) ||\n outOfRange(a.y, b.y, p.y));\n}\n\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\n return (outOfRange(a.x, b.x, p.x) ||\n outOfRange(a.y, b.y, p.y) ||\n outOfRange(a.z, b.z, p.z));\n}\n\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\n return outOfRange(a.xyz, b.xyz, p.xyz);\n}\n\nuniform vec3 clipBounds[2];\nuniform float pickId;\n\nvarying vec3 f_position;\nvarying vec4 f_id;\n\nvoid main() {\n if (outOfRange(clipBounds[0], clipBounds[1], f_position)) discard;\n\n gl_FragColor = vec4(pickId, f_id.xyz);\n}"]);e.meshShader={vertex:i,fragment:a,attributes:[{name:"position",type:"vec4"},{name:"color",type:"vec4"},{name:"uv",type:"vec2"},{name:"vector",type:"vec3"}]},e.pickShader={vertex:o,fragment:s,attributes:[{name:"position",type:"vec4"},{name:"id",type:"vec4"},{name:"vector",type:"vec3"}]}},1950:function(t){t.exports={0:"NONE",1:"ONE",2:"LINE_LOOP",3:"LINE_STRIP",4:"TRIANGLES",5:"TRIANGLE_STRIP",6:"TRIANGLE_FAN",256:"DEPTH_BUFFER_BIT",512:"NEVER",513:"LESS",514:"EQUAL",515:"LEQUAL",516:"GREATER",517:"NOTEQUAL",518:"GEQUAL",519:"ALWAYS",768:"SRC_COLOR",769:"ONE_MINUS_SRC_COLOR",770:"SRC_ALPHA",771:"ONE_MINUS_SRC_ALPHA",772:"DST_ALPHA",773:"ONE_MINUS_DST_ALPHA",774:"DST_COLOR",775:"ONE_MINUS_DST_COLOR",776:"SRC_ALPHA_SATURATE",1024:"STENCIL_BUFFER_BIT",1028:"FRONT",1029:"BACK",1032:"FRONT_AND_BACK",1280:"INVALID_ENUM",1281:"INVALID_VALUE",1282:"INVALID_OPERATION",1285:"OUT_OF_MEMORY",1286:"INVALID_FRAMEBUFFER_OPERATION",2304:"CW",2305:"CCW",2849:"LINE_WIDTH",2884:"CULL_FACE",2885:"CULL_FACE_MODE",2886:"FRONT_FACE",2928:"DEPTH_RANGE",2929:"DEPTH_TEST",2930:"DEPTH_WRITEMASK",2931:"DEPTH_CLEAR_VALUE",2932:"DEPTH_FUNC",2960:"STENCIL_TEST",2961:"STENCIL_CLEAR_VALUE",2962:"STENCIL_FUNC",2963:"STENCIL_VALUE_MASK",2964:"STENCIL_FAIL",2965:"STENCIL_PASS_DEPTH_FAIL",2966:"STENCIL_PASS_DEPTH_PASS",2967:"STENCIL_REF",2968:"STENCIL_WRITEMASK",2978:"VIEWPORT",3024:"DITHER",3042:"BLEND",3088:"SCISSOR_BOX",3089:"SCISSOR_TEST",3106:"COLOR_CLEAR_VALUE",3107:"COLOR_WRITEMASK",3317:"UNPACK_ALIGNMENT",3333:"PACK_ALIGNMENT",3379:"MAX_TEXTURE_SIZE",3386:"MAX_VIEWPORT_DIMS",3408:"SUBPIXEL_BITS",3410:"RED_BITS",3411:"GREEN_BITS",3412:"BLUE_BITS",3413:"ALPHA_BITS",3414:"DEPTH_BITS",3415:"STENCIL_BITS",3553:"TEXTURE_2D",4352:"DONT_CARE",4353:"FASTEST",4354:"NICEST",5120:"BYTE",5121:"UNSIGNED_BYTE",5122:"SHORT",5123:"UNSIGNED_SHORT",5124:"INT",5125:"UNSIGNED_INT",5126:"FLOAT",5386:"INVERT",5890:"TEXTURE",6401:"STENCIL_INDEX",6402:"DEPTH_COMPONENT",6406:"ALPHA",6407:"RGB",6408:"RGBA",6409:"LUMINANCE",6410:"LUMINANCE_ALPHA",7680:"KEEP",7681:"REPLACE",7682:"INCR",7683:"DECR",7936:"VENDOR",7937:"RENDERER",7938:"VERSION",9728:"NEAREST",9729:"LINEAR",9984:"NEAREST_MIPMAP_NEAREST",9985:"LINEAR_MIPMAP_NEAREST",9986:"NEAREST_MIPMAP_LINEAR",9987:"LINEAR_MIPMAP_LINEAR",10240:"TEXTURE_MAG_FILTER",10241:"TEXTURE_MIN_FILTER",10242:"TEXTURE_WRAP_S",10243:"TEXTURE_WRAP_T",10497:"REPEAT",10752:"POLYGON_OFFSET_UNITS",16384:"COLOR_BUFFER_BIT",32769:"CONSTANT_COLOR",32770:"ONE_MINUS_CONSTANT_COLOR",32771:"CONSTANT_ALPHA",32772:"ONE_MINUS_CONSTANT_ALPHA",32773:"BLEND_COLOR",32774:"FUNC_ADD",32777:"BLEND_EQUATION_RGB",32778:"FUNC_SUBTRACT",32779:"FUNC_REVERSE_SUBTRACT",32819:"UNSIGNED_SHORT_4_4_4_4",32820:"UNSIGNED_SHORT_5_5_5_1",32823:"POLYGON_OFFSET_FILL",32824:"POLYGON_OFFSET_FACTOR",32854:"RGBA4",32855:"RGB5_A1",32873:"TEXTURE_BINDING_2D",32926:"SAMPLE_ALPHA_TO_COVERAGE",32928:"SAMPLE_COVERAGE",32936:"SAMPLE_BUFFERS",32937:"SAMPLES",32938:"SAMPLE_COVERAGE_VALUE",32939:"SAMPLE_COVERAGE_INVERT",32968:"BLEND_DST_RGB",32969:"BLEND_SRC_RGB",32970:"BLEND_DST_ALPHA",32971:"BLEND_SRC_ALPHA",33071:"CLAMP_TO_EDGE",33170:"GENERATE_MIPMAP_HINT",33189:"DEPTH_COMPONENT16",33306:"DEPTH_STENCIL_ATTACHMENT",33635:"UNSIGNED_SHORT_5_6_5",33648:"MIRRORED_REPEAT",33901:"ALIASED_POINT_SIZE_RANGE",33902:"ALIASED_LINE_WIDTH_RANGE",33984:"TEXTURE0",33985:"TEXTURE1",33986:"TEXTURE2",33987:"TEXTURE3",33988:"TEXTURE4",33989:"TEXTURE5",33990:"TEXTURE6",33991:"TEXTURE7",33992:"TEXTURE8",33993:"TEXTURE9",33994:"TEXTURE10",33995:"TEXTURE11",33996:"TEXTURE12",33997:"TEXTURE13",33998:"TEXTURE14",33999:"TEXTURE15",34e3:"TEXTURE16",34001:"TEXTURE17",34002:"TEXTURE18",34003:"TEXTURE19",34004:"TEXTURE20",34005:"TEXTURE21",34006:"TEXTURE22",34007:"TEXTURE23",34008:"TEXTURE24",34009:"TEXTURE25",34010:"TEXTURE26",34011:"TEXTURE27",34012:"TEXTURE28",34013:"TEXTURE29",34014:"TEXTURE30",34015:"TEXTURE31",34016:"ACTIVE_TEXTURE",34024:"MAX_RENDERBUFFER_SIZE",34041:"DEPTH_STENCIL",34055:"INCR_WRAP",34056:"DECR_WRAP",34067:"TEXTURE_CUBE_MAP",34068:"TEXTURE_BINDING_CUBE_MAP",34069:"TEXTURE_CUBE_MAP_POSITIVE_X",34070:"TEXTURE_CUBE_MAP_NEGATIVE_X",34071:"TEXTURE_CUBE_MAP_POSITIVE_Y",34072:"TEXTURE_CUBE_MAP_NEGATIVE_Y",34073:"TEXTURE_CUBE_MAP_POSITIVE_Z",34074:"TEXTURE_CUBE_MAP_NEGATIVE_Z",34076:"MAX_CUBE_MAP_TEXTURE_SIZE",34338:"VERTEX_ATTRIB_ARRAY_ENABLED",34339:"VERTEX_ATTRIB_ARRAY_SIZE",34340:"VERTEX_ATTRIB_ARRAY_STRIDE",34341:"VERTEX_ATTRIB_ARRAY_TYPE",34342:"CURRENT_VERTEX_ATTRIB",34373:"VERTEX_ATTRIB_ARRAY_POINTER",34466:"NUM_COMPRESSED_TEXTURE_FORMATS",34467:"COMPRESSED_TEXTURE_FORMATS",34660:"BUFFER_SIZE",34661:"BUFFER_USAGE",34816:"STENCIL_BACK_FUNC",34817:"STENCIL_BACK_FAIL",34818:"STENCIL_BACK_PASS_DEPTH_FAIL",34819:"STENCIL_BACK_PASS_DEPTH_PASS",34877:"BLEND_EQUATION_ALPHA",34921:"MAX_VERTEX_ATTRIBS",34922:"VERTEX_ATTRIB_ARRAY_NORMALIZED",34930:"MAX_TEXTURE_IMAGE_UNITS",34962:"ARRAY_BUFFER",34963:"ELEMENT_ARRAY_BUFFER",34964:"ARRAY_BUFFER_BINDING",34965:"ELEMENT_ARRAY_BUFFER_BINDING",34975:"VERTEX_ATTRIB_ARRAY_BUFFER_BINDING",35040:"STREAM_DRAW",35044:"STATIC_DRAW",35048:"DYNAMIC_DRAW",35632:"FRAGMENT_SHADER",35633:"VERTEX_SHADER",35660:"MAX_VERTEX_TEXTURE_IMAGE_UNITS",35661:"MAX_COMBINED_TEXTURE_IMAGE_UNITS",35663:"SHADER_TYPE",35664:"FLOAT_VEC2",35665:"FLOAT_VEC3",35666:"FLOAT_VEC4",35667:"INT_VEC2",35668:"INT_VEC3",35669:"INT_VEC4",35670:"BOOL",35671:"BOOL_VEC2",35672:"BOOL_VEC3",35673:"BOOL_VEC4",35674:"FLOAT_MAT2",35675:"FLOAT_MAT3",35676:"FLOAT_MAT4",35678:"SAMPLER_2D",35680:"SAMPLER_CUBE",35712:"DELETE_STATUS",35713:"COMPILE_STATUS",35714:"LINK_STATUS",35715:"VALIDATE_STATUS",35716:"INFO_LOG_LENGTH",35717:"ATTACHED_SHADERS",35718:"ACTIVE_UNIFORMS",35719:"ACTIVE_UNIFORM_MAX_LENGTH",35720:"SHADER_SOURCE_LENGTH",35721:"ACTIVE_ATTRIBUTES",35722:"ACTIVE_ATTRIBUTE_MAX_LENGTH",35724:"SHADING_LANGUAGE_VERSION",35725:"CURRENT_PROGRAM",36003:"STENCIL_BACK_REF",36004:"STENCIL_BACK_VALUE_MASK",36005:"STENCIL_BACK_WRITEMASK",36006:"FRAMEBUFFER_BINDING",36007:"RENDERBUFFER_BINDING",36048:"FRAMEBUFFER_ATTACHMENT_OBJECT_TYPE",36049:"FRAMEBUFFER_ATTACHMENT_OBJECT_NAME",36050:"FRAMEBUFFER_ATTACHMENT_TEXTURE_LEVEL",36051:"FRAMEBUFFER_ATTACHMENT_TEXTURE_CUBE_MAP_FACE",36053:"FRAMEBUFFER_COMPLETE",36054:"FRAMEBUFFER_INCOMPLETE_ATTACHMENT",36055:"FRAMEBUFFER_INCOMPLETE_MISSING_ATTACHMENT",36057:"FRAMEBUFFER_INCOMPLETE_DIMENSIONS",36061:"FRAMEBUFFER_UNSUPPORTED",36064:"COLOR_ATTACHMENT0",36096:"DEPTH_ATTACHMENT",36128:"STENCIL_ATTACHMENT",36160:"FRAMEBUFFER",36161:"RENDERBUFFER",36162:"RENDERBUFFER_WIDTH",36163:"RENDERBUFFER_HEIGHT",36164:"RENDERBUFFER_INTERNAL_FORMAT",36168:"STENCIL_INDEX8",36176:"RENDERBUFFER_RED_SIZE",36177:"RENDERBUFFER_GREEN_SIZE",36178:"RENDERBUFFER_BLUE_SIZE",36179:"RENDERBUFFER_ALPHA_SIZE",36180:"RENDERBUFFER_DEPTH_SIZE",36181:"RENDERBUFFER_STENCIL_SIZE",36194:"RGB565",36336:"LOW_FLOAT",36337:"MEDIUM_FLOAT",36338:"HIGH_FLOAT",36339:"LOW_INT",36340:"MEDIUM_INT",36341:"HIGH_INT",36346:"SHADER_COMPILER",36347:"MAX_VERTEX_UNIFORM_VECTORS",36348:"MAX_VARYING_VECTORS",36349:"MAX_FRAGMENT_UNIFORM_VECTORS",37440:"UNPACK_FLIP_Y_WEBGL",37441:"UNPACK_PREMULTIPLY_ALPHA_WEBGL",37442:"CONTEXT_LOST_WEBGL",37443:"UNPACK_COLORSPACE_CONVERSION_WEBGL",37444:"BROWSER_DEFAULT_WEBGL"}},6603:function(t,e,r){var n=r(1950);t.exports=function(t){return n[t]}},3110:function(t,e,r){"use strict";t.exports=function(t){var e=t.gl,r=n(e),o=i(e,[{buffer:r,type:e.FLOAT,size:3,offset:0,stride:40},{buffer:r,type:e.FLOAT,size:4,offset:12,stride:40},{buffer:r,type:e.FLOAT,size:3,offset:28,stride:40}]),l=a(e);l.attributes.position.location=0,l.attributes.color.location=1,l.attributes.offset.location=2;var u=new s(e,r,o,l);return u.update(t),u};var n=r(5827),i=r(2944),a=r(7667),o=[1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1];function s(t,e,r,n){this.gl=t,this.shader=n,this.buffer=e,this.vao=r,this.pixelRatio=1,this.bounds=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]],this.clipBounds=[[-1/0,-1/0,-1/0],[1/0,1/0,1/0]],this.lineWidth=[1,1,1],this.capSize=[10,10,10],this.lineCount=[0,0,0],this.lineOffset=[0,0,0],this.opacity=1,this.hasAlpha=!1}var l=s.prototype;function u(t,e){for(var r=0;r<3;++r)t[0][r]=Math.min(t[0][r],e[r]),t[1][r]=Math.max(t[1][r],e[r])}l.isOpaque=function(){return!this.hasAlpha},l.isTransparent=function(){return this.hasAlpha},l.drawTransparent=l.draw=function(t){var e=this.gl,r=this.shader.uniforms;this.shader.bind();var n=r.view=t.view||o,i=r.projection=t.projection||o;r.model=t.model||o,r.clipBounds=this.clipBounds,r.opacity=this.opacity;var a=n[12],s=n[13],l=n[14],u=n[15],c=(t._ortho?2:1)*this.pixelRatio*(i[3]*a+i[7]*s+i[11]*l+i[15]*u)/e.drawingBufferHeight;this.vao.bind();for(var f=0;f<3;++f)e.lineWidth(this.lineWidth[f]*this.pixelRatio),r.capSize=this.capSize[f]*c,this.lineCount[f]&&e.drawArrays(e.LINES,this.lineOffset[f],this.lineCount[f]);this.vao.unbind()};var c=function(){for(var t=new Array(3),e=0;e<3;++e){for(var r=[],n=1;n<=2;++n)for(var i=-1;i<=1;i+=2){var a=[0,0,0];a[(n+e)%3]=i,r.push(a)}t[e]=r}return t}();function f(t,e,r,n){for(var i=c[n],a=0;a0&&((p=c.slice())[s]+=d[1][s],i.push(c[0],c[1],c[2],v[0],v[1],v[2],v[3],0,0,0,p[0],p[1],p[2],v[0],v[1],v[2],v[3],0,0,0),u(this.bounds,p),o+=2+f(i,p,v,s)))}this.lineCount[s]=o-this.lineOffset[s]}this.buffer.update(i)}},l.dispose=function(){this.shader.dispose(),this.buffer.dispose(),this.vao.dispose()}},7667:function(t,e,r){"use strict";var n=r(6832),i=r(5158),a=n(["precision highp float;\n#define GLSLIFY 1\n\nattribute vec3 position, offset;\nattribute vec4 color;\nuniform mat4 model, view, projection;\nuniform float capSize;\nvarying vec4 fragColor;\nvarying vec3 fragPosition;\n\nvoid main() {\n vec4 worldPosition = model * vec4(position, 1.0);\n worldPosition = (worldPosition / worldPosition.w) + vec4(capSize * offset, 0.0);\n gl_Position = projection * view * worldPosition;\n fragColor = color;\n fragPosition = position;\n}"]),o=n(["precision highp float;\n#define GLSLIFY 1\n\nbool outOfRange(float a, float b, float p) {\n return ((p > max(a, b)) || \n (p < min(a, b)));\n}\n\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\n return (outOfRange(a.x, b.x, p.x) ||\n outOfRange(a.y, b.y, p.y));\n}\n\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\n return (outOfRange(a.x, b.x, p.x) ||\n outOfRange(a.y, b.y, p.y) ||\n outOfRange(a.z, b.z, p.z));\n}\n\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\n return outOfRange(a.xyz, b.xyz, p.xyz);\n}\n\nuniform vec3 clipBounds[2];\nuniform float opacity;\nvarying vec3 fragPosition;\nvarying vec4 fragColor;\n\nvoid main() {\n if (\n outOfRange(clipBounds[0], clipBounds[1], fragPosition) ||\n fragColor.a * opacity == 0.\n ) discard;\n\n gl_FragColor = opacity * fragColor;\n}"]);t.exports=function(t){return i(t,a,o,null,[{name:"position",type:"vec3"},{name:"color",type:"vec4"},{name:"offset",type:"vec3"}])}},4234:function(t,e,r){"use strict";var n=r(8931);t.exports=function(t,e,r,n){i||(i=t.FRAMEBUFFER_UNSUPPORTED,a=t.FRAMEBUFFER_INCOMPLETE_ATTACHMENT,o=t.FRAMEBUFFER_INCOMPLETE_DIMENSIONS,s=t.FRAMEBUFFER_INCOMPLETE_MISSING_ATTACHMENT);var u=t.getExtension("WEBGL_draw_buffers");if(!l&&u&&function(t,e){var r=t.getParameter(e.MAX_COLOR_ATTACHMENTS_WEBGL);l=new Array(r+1);for(var n=0;n<=r;++n){for(var i=new Array(r),a=0;ac||r<0||r>c)throw new Error("gl-fbo: Parameters are too large for FBO");var f=1;if("color"in(n=n||{})){if((f=Math.max(0|n.color,0))<0)throw new Error("gl-fbo: Must specify a nonnegative number of colors");if(f>1){if(!u)throw new Error("gl-fbo: Multiple draw buffer extension not supported");if(f>t.getParameter(u.MAX_COLOR_ATTACHMENTS_WEBGL))throw new Error("gl-fbo: Context does not support "+f+" draw buffers")}}var h=t.UNSIGNED_BYTE,p=t.getExtension("OES_texture_float");if(n.float&&f>0){if(!p)throw new Error("gl-fbo: Context does not support floating point textures");h=t.FLOAT}else n.preferFloat&&f>0&&p&&(h=t.FLOAT);var v=!0;"depth"in n&&(v=!!n.depth);var g=!1;return"stencil"in n&&(g=!!n.stencil),new d(t,e,r,h,f,v,g,u)};var i,a,o,s,l=null;function u(t){return[t.getParameter(t.FRAMEBUFFER_BINDING),t.getParameter(t.RENDERBUFFER_BINDING),t.getParameter(t.TEXTURE_BINDING_2D)]}function c(t,e){t.bindFramebuffer(t.FRAMEBUFFER,e[0]),t.bindRenderbuffer(t.RENDERBUFFER,e[1]),t.bindTexture(t.TEXTURE_2D,e[2])}function f(t){switch(t){case i:throw new Error("gl-fbo: Framebuffer unsupported");case a:throw new Error("gl-fbo: Framebuffer incomplete attachment");case o:throw new Error("gl-fbo: Framebuffer incomplete dimensions");case s:throw new Error("gl-fbo: Framebuffer incomplete missing attachment");default:throw new Error("gl-fbo: Framebuffer failed for unspecified reason")}}function h(t,e,r,i,a,o){if(!i)return null;var s=n(t,e,r,a,i);return s.magFilter=t.NEAREST,s.minFilter=t.NEAREST,s.mipSamples=1,s.bind(),t.framebufferTexture2D(t.FRAMEBUFFER,o,t.TEXTURE_2D,s.handle,0),s}function p(t,e,r,n,i){var a=t.createRenderbuffer();return t.bindRenderbuffer(t.RENDERBUFFER,a),t.renderbufferStorage(t.RENDERBUFFER,n,e,r),t.framebufferRenderbuffer(t.FRAMEBUFFER,i,t.RENDERBUFFER,a),a}function d(t,e,r,n,i,a,o,s){this.gl=t,this._shape=[0|e,0|r],this._destroyed=!1,this._ext=s,this.color=new Array(i);for(var d=0;d1&&s.drawBuffersWEBGL(l[o]);var m=r.getExtension("WEBGL_depth_texture");m?d?t.depth=h(r,i,a,m.UNSIGNED_INT_24_8_WEBGL,r.DEPTH_STENCIL,r.DEPTH_STENCIL_ATTACHMENT):v&&(t.depth=h(r,i,a,r.UNSIGNED_SHORT,r.DEPTH_COMPONENT,r.DEPTH_ATTACHMENT)):v&&d?t._depth_rb=p(r,i,a,r.DEPTH_STENCIL,r.DEPTH_STENCIL_ATTACHMENT):v?t._depth_rb=p(r,i,a,r.DEPTH_COMPONENT16,r.DEPTH_ATTACHMENT):d&&(t._depth_rb=p(r,i,a,r.STENCIL_INDEX,r.STENCIL_ATTACHMENT));var x=r.checkFramebufferStatus(r.FRAMEBUFFER);if(x!==r.FRAMEBUFFER_COMPLETE){for(t._destroyed=!0,r.bindFramebuffer(r.FRAMEBUFFER,null),r.deleteFramebuffer(t.handle),t.handle=null,t.depth&&(t.depth.dispose(),t.depth=null),t._depth_rb&&(r.deleteRenderbuffer(t._depth_rb),t._depth_rb=null),y=0;yi||r<0||r>i)throw new Error("gl-fbo: Can't resize FBO, invalid dimensions");t._shape[0]=e,t._shape[1]=r;for(var a=u(n),o=0;o>8*p&255;this.pickOffset=r,i.bind();var d=i.uniforms;d.viewTransform=t,d.pickOffset=e,d.shape=this.shape;var v=i.attributes;return this.positionBuffer.bind(),v.position.pointer(),this.weightBuffer.bind(),v.weight.pointer(s.UNSIGNED_BYTE,!1),this.idBuffer.bind(),v.pickId.pointer(s.UNSIGNED_BYTE,!1),s.drawArrays(s.TRIANGLES,0,o),r+this.shape[0]*this.shape[1]}}}(),f.pick=function(t,e,r){var n=this.pickOffset,i=this.shape[0]*this.shape[1];if(r=n+i)return null;var a=r-n,o=this.xData,s=this.yData;return{object:this,pointId:a,dataCoord:[o[a%this.shape[0]],s[a/this.shape[0]|0]]}},f.update=function(t){var e=(t=t||{}).shape||[0,0],r=t.x||i(e[0]),o=t.y||i(e[1]),s=t.z||new Float32Array(e[0]*e[1]),l=!1!==t.zsmooth;this.xData=r,this.yData=o;var u,c,f,p,d=t.colorLevels||[0],v=t.colorValues||[0,0,0,1],g=d.length,y=this.bounds;l?(u=y[0]=r[0],c=y[1]=o[0],f=y[2]=r[r.length-1],p=y[3]=o[o.length-1]):(u=y[0]=r[0]+(r[1]-r[0])/2,c=y[1]=o[0]+(o[1]-o[0])/2,f=y[2]=r[r.length-1]+(r[r.length-1]-r[r.length-2])/2,p=y[3]=o[o.length-1]+(o[o.length-1]-o[o.length-2])/2);var m=1/(f-u),x=1/(p-c),b=e[0],_=e[1];this.shape=[b,_];var w=(l?(b-1)*(_-1):b*_)*(h.length>>>1);this.numVertices=w;for(var T=a.mallocUint8(4*w),k=a.mallocFloat32(2*w),A=a.mallocUint8(2*w),M=a.mallocUint32(w),S=0,E=l?b-1:b,L=l?_-1:_,C=0;C max(a, b)) || \n (p < min(a, b)));\n}\n\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\n return (outOfRange(a.x, b.x, p.x) ||\n outOfRange(a.y, b.y, p.y));\n}\n\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\n return (outOfRange(a.x, b.x, p.x) ||\n outOfRange(a.y, b.y, p.y) ||\n outOfRange(a.z, b.z, p.z));\n}\n\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\n return outOfRange(a.xyz, b.xyz, p.xyz);\n}\n\nuniform vec3 clipBounds[2];\nuniform sampler2D dashTexture;\nuniform float dashScale;\nuniform float opacity;\n\nvarying vec3 worldPosition;\nvarying float pixelArcLength;\nvarying vec4 fragColor;\n\nvoid main() {\n if (\n outOfRange(clipBounds[0], clipBounds[1], worldPosition) ||\n fragColor.a * opacity == 0.\n ) discard;\n\n float dashWeight = texture2D(dashTexture, vec2(dashScale * pixelArcLength, 0)).r;\n if(dashWeight < 0.5) {\n discard;\n }\n gl_FragColor = fragColor * opacity;\n}\n"]),s=n(["precision highp float;\n#define GLSLIFY 1\n\n#define FLOAT_MAX 1.70141184e38\n#define FLOAT_MIN 1.17549435e-38\n\n// https://github.com/mikolalysenko/glsl-read-float/blob/master/index.glsl\nvec4 packFloat(float v) {\n float av = abs(v);\n\n //Handle special cases\n if(av < FLOAT_MIN) {\n return vec4(0.0, 0.0, 0.0, 0.0);\n } else if(v > FLOAT_MAX) {\n return vec4(127.0, 128.0, 0.0, 0.0) / 255.0;\n } else if(v < -FLOAT_MAX) {\n return vec4(255.0, 128.0, 0.0, 0.0) / 255.0;\n }\n\n vec4 c = vec4(0,0,0,0);\n\n //Compute exponent and mantissa\n float e = floor(log2(av));\n float m = av * pow(2.0, -e) - 1.0;\n\n //Unpack mantissa\n c[1] = floor(128.0 * m);\n m -= c[1] / 128.0;\n c[2] = floor(32768.0 * m);\n m -= c[2] / 32768.0;\n c[3] = floor(8388608.0 * m);\n\n //Unpack exponent\n float ebias = e + 127.0;\n c[0] = floor(ebias / 2.0);\n ebias -= c[0] * 2.0;\n c[1] += floor(ebias) * 128.0;\n\n //Unpack sign bit\n c[0] += 128.0 * step(0.0, -v);\n\n //Scale back to range\n return c / 255.0;\n}\n\nbool outOfRange(float a, float b, float p) {\n return ((p > max(a, b)) || \n (p < min(a, b)));\n}\n\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\n return (outOfRange(a.x, b.x, p.x) ||\n outOfRange(a.y, b.y, p.y));\n}\n\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\n return (outOfRange(a.x, b.x, p.x) ||\n outOfRange(a.y, b.y, p.y) ||\n outOfRange(a.z, b.z, p.z));\n}\n\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\n return outOfRange(a.xyz, b.xyz, p.xyz);\n}\n\nuniform float pickId;\nuniform vec3 clipBounds[2];\n\nvarying vec3 worldPosition;\nvarying float pixelArcLength;\nvarying vec4 fragColor;\n\nvoid main() {\n if (outOfRange(clipBounds[0], clipBounds[1], worldPosition)) discard;\n\n gl_FragColor = vec4(pickId/255.0, packFloat(pixelArcLength).xyz);\n}"]),l=[{name:"position",type:"vec3"},{name:"nextPosition",type:"vec3"},{name:"arcLength",type:"float"},{name:"lineWidth",type:"float"},{name:"color",type:"vec4"}];e.createShader=function(t){return i(t,a,o,null,l)},e.createPickShader=function(t){return i(t,a,s,null,l)}},6086:function(t,e,r){"use strict";t.exports=function(t){var e=t.gl||t.scene&&t.scene.gl,r=f(e);r.attributes.position.location=0,r.attributes.nextPosition.location=1,r.attributes.arcLength.location=2,r.attributes.lineWidth.location=3,r.attributes.color.location=4;var o=h(e);o.attributes.position.location=0,o.attributes.nextPosition.location=1,o.attributes.arcLength.location=2,o.attributes.lineWidth.location=3,o.attributes.color.location=4;for(var s=n(e),l=i(e,[{buffer:s,size:3,offset:0,stride:48},{buffer:s,size:3,offset:12,stride:48},{buffer:s,size:1,offset:24,stride:48},{buffer:s,size:1,offset:28,stride:48},{buffer:s,size:4,offset:32,stride:48}]),c=u(new Array(1024),[256,1,4]),p=0;p<1024;++p)c.data[p]=255;var d=a(e,c);d.wrap=e.REPEAT;var v=new y(e,r,o,s,l,d);return v.update(t),v};var n=r(5827),i=r(2944),a=r(8931),o=new Uint8Array(4),s=new Float32Array(o.buffer),l=r(5070),u=r(5050),c=r(248),f=c.createShader,h=c.createPickShader,p=[1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1];function d(t,e){for(var r=0,n=0;n<3;++n){var i=t[n]-e[n];r+=i*i}return Math.sqrt(r)}function v(t){for(var e=[[-1e6,-1e6,-1e6],[1e6,1e6,1e6]],r=0;r<3;++r)e[0][r]=Math.max(t[0][r],e[0][r]),e[1][r]=Math.min(t[1][r],e[1][r]);return e}function g(t,e,r,n){this.arcLength=t,this.position=e,this.index=r,this.dataCoordinate=n}function y(t,e,r,n,i,a){this.gl=t,this.shader=e,this.pickShader=r,this.buffer=n,this.vao=i,this.clipBounds=[[-1/0,-1/0,-1/0],[1/0,1/0,1/0]],this.points=[],this.arcLength=[],this.vertexCount=0,this.bounds=[[0,0,0],[0,0,0]],this.pickId=0,this.lineWidth=1,this.texture=a,this.dashScale=1,this.opacity=1,this.hasAlpha=!1,this.dirty=!0,this.pixelRatio=1}var m=y.prototype;m.isTransparent=function(){return this.hasAlpha},m.isOpaque=function(){return!this.hasAlpha},m.pickSlots=1,m.setPickBase=function(t){this.pickId=t},m.drawTransparent=m.draw=function(t){if(this.vertexCount){var e=this.gl,r=this.shader,n=this.vao;r.bind(),r.uniforms={model:t.model||p,view:t.view||p,projection:t.projection||p,clipBounds:v(this.clipBounds),dashTexture:this.texture.bind(),dashScale:this.dashScale/this.arcLength[this.arcLength.length-1],opacity:this.opacity,screenShape:[e.drawingBufferWidth,e.drawingBufferHeight],pixelRatio:this.pixelRatio},n.bind(),n.draw(e.TRIANGLE_STRIP,this.vertexCount),n.unbind()}},m.drawPick=function(t){if(this.vertexCount){var e=this.gl,r=this.pickShader,n=this.vao;r.bind(),r.uniforms={model:t.model||p,view:t.view||p,projection:t.projection||p,pickId:this.pickId,clipBounds:v(this.clipBounds),screenShape:[e.drawingBufferWidth,e.drawingBufferHeight],pixelRatio:this.pixelRatio},n.bind(),n.draw(e.TRIANGLE_STRIP,this.vertexCount),n.unbind()}},m.update=function(t){var e,r;this.dirty=!0;var n=!!t.connectGaps;"dashScale"in t&&(this.dashScale=t.dashScale),this.hasAlpha=!1,"opacity"in t&&(this.opacity=+t.opacity,this.opacity<1&&(this.hasAlpha=!0));var i=[],a=[],o=[],s=0,c=0,f=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]],h=t.position||t.positions;if(h){var p=t.color||t.colors||[0,0,0,1],v=t.lineWidth||1,g=!1;t:for(e=1;e0){for(var w=0;w<24;++w)i.push(i[i.length-12]);c+=2,g=!0}continue t}f[0][r]=Math.min(f[0][r],b[r],_[r]),f[1][r]=Math.max(f[1][r],b[r],_[r])}Array.isArray(p[0])?(y=p.length>e-1?p[e-1]:p.length>0?p[p.length-1]:[0,0,0,1],m=p.length>e?p[e]:p.length>0?p[p.length-1]:[0,0,0,1]):y=m=p,3===y.length&&(y=[y[0],y[1],y[2],1]),3===m.length&&(m=[m[0],m[1],m[2],1]),!this.hasAlpha&&y[3]<1&&(this.hasAlpha=!0),x=Array.isArray(v)?v.length>e-1?v[e-1]:v.length>0?v[v.length-1]:[0,0,0,1]:v;var T=s;if(s+=d(b,_),g){for(r=0;r<2;++r)i.push(b[0],b[1],b[2],_[0],_[1],_[2],T,x,y[0],y[1],y[2],y[3]);c+=2,g=!1}i.push(b[0],b[1],b[2],_[0],_[1],_[2],T,x,y[0],y[1],y[2],y[3],b[0],b[1],b[2],_[0],_[1],_[2],T,-x,y[0],y[1],y[2],y[3],_[0],_[1],_[2],b[0],b[1],b[2],s,-x,m[0],m[1],m[2],m[3],_[0],_[1],_[2],b[0],b[1],b[2],s,x,m[0],m[1],m[2],m[3]),c+=4}}if(this.buffer.update(i),a.push(s),o.push(h[h.length-1].slice()),this.bounds=f,this.vertexCount=c,this.points=o,this.arcLength=a,"dashes"in t){var k=t.dashes.slice();for(k.unshift(0),e=1;e1.0001)return null;y+=g[f]}return Math.abs(y-1)>.001?null:[h,s(t,g),g]}},2056:function(t,e,r){var n=r(6832),i=n(["precision highp float;\n#define GLSLIFY 1\n\nattribute vec3 position, normal;\nattribute vec4 color;\nattribute vec2 uv;\n\nuniform mat4 model\n , view\n , projection\n , inverseModel;\nuniform vec3 eyePosition\n , lightPosition;\n\nvarying vec3 f_normal\n , f_lightDirection\n , f_eyeDirection\n , f_data;\nvarying vec4 f_color;\nvarying vec2 f_uv;\n\nvec4 project(vec3 p) {\n return projection * view * model * vec4(p, 1.0);\n}\n\nvoid main() {\n gl_Position = project(position);\n\n //Lighting geometry parameters\n vec4 cameraCoordinate = view * vec4(position , 1.0);\n cameraCoordinate.xyz /= cameraCoordinate.w;\n f_lightDirection = lightPosition - cameraCoordinate.xyz;\n f_eyeDirection = eyePosition - cameraCoordinate.xyz;\n f_normal = normalize((vec4(normal, 0.0) * inverseModel).xyz);\n\n f_color = color;\n f_data = position;\n f_uv = uv;\n}\n"]),a=n(["#extension GL_OES_standard_derivatives : enable\n\nprecision highp float;\n#define GLSLIFY 1\n\nfloat beckmannDistribution(float x, float roughness) {\n float NdotH = max(x, 0.0001);\n float cos2Alpha = NdotH * NdotH;\n float tan2Alpha = (cos2Alpha - 1.0) / cos2Alpha;\n float roughness2 = roughness * roughness;\n float denom = 3.141592653589793 * roughness2 * cos2Alpha * cos2Alpha;\n return exp(tan2Alpha / roughness2) / denom;\n}\n\nfloat cookTorranceSpecular(\n vec3 lightDirection,\n vec3 viewDirection,\n vec3 surfaceNormal,\n float roughness,\n float fresnel) {\n\n float VdotN = max(dot(viewDirection, surfaceNormal), 0.0);\n float LdotN = max(dot(lightDirection, surfaceNormal), 0.0);\n\n //Half angle vector\n vec3 H = normalize(lightDirection + viewDirection);\n\n //Geometric term\n float NdotH = max(dot(surfaceNormal, H), 0.0);\n float VdotH = max(dot(viewDirection, H), 0.000001);\n float LdotH = max(dot(lightDirection, H), 0.000001);\n float G1 = (2.0 * NdotH * VdotN) / VdotH;\n float G2 = (2.0 * NdotH * LdotN) / LdotH;\n float G = min(1.0, min(G1, G2));\n \n //Distribution term\n float D = beckmannDistribution(NdotH, roughness);\n\n //Fresnel term\n float F = pow(1.0 - VdotN, fresnel);\n\n //Multiply terms and done\n return G * F * D / max(3.14159265 * VdotN, 0.000001);\n}\n\n//#pragma glslify: beckmann = require(glsl-specular-beckmann) // used in gl-surface3d\n\nbool outOfRange(float a, float b, float p) {\n return ((p > max(a, b)) || \n (p < min(a, b)));\n}\n\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\n return (outOfRange(a.x, b.x, p.x) ||\n outOfRange(a.y, b.y, p.y));\n}\n\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\n return (outOfRange(a.x, b.x, p.x) ||\n outOfRange(a.y, b.y, p.y) ||\n outOfRange(a.z, b.z, p.z));\n}\n\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\n return outOfRange(a.xyz, b.xyz, p.xyz);\n}\n\nuniform vec3 clipBounds[2];\nuniform float roughness\n , fresnel\n , kambient\n , kdiffuse\n , kspecular;\nuniform sampler2D texture;\n\nvarying vec3 f_normal\n , f_lightDirection\n , f_eyeDirection\n , f_data;\nvarying vec4 f_color;\nvarying vec2 f_uv;\n\nvoid main() {\n if (f_color.a == 0.0 ||\n outOfRange(clipBounds[0], clipBounds[1], f_data)\n ) discard;\n\n vec3 N = normalize(f_normal);\n vec3 L = normalize(f_lightDirection);\n vec3 V = normalize(f_eyeDirection);\n\n if(gl_FrontFacing) {\n N = -N;\n }\n\n float specular = min(1.0, max(0.0, cookTorranceSpecular(L, V, N, roughness, fresnel)));\n //float specular = max(0.0, beckmann(L, V, N, roughness)); // used in gl-surface3d\n\n float diffuse = min(kambient + kdiffuse * max(dot(N, L), 0.0), 1.0);\n\n vec4 surfaceColor = vec4(f_color.rgb, 1.0) * texture2D(texture, f_uv);\n vec4 litColor = surfaceColor.a * vec4(diffuse * surfaceColor.rgb + kspecular * vec3(1,1,1) * specular, 1.0);\n\n gl_FragColor = litColor * f_color.a;\n}\n"]),o=n(["precision highp float;\n#define GLSLIFY 1\n\nattribute vec3 position;\nattribute vec4 color;\nattribute vec2 uv;\n\nuniform mat4 model, view, projection;\n\nvarying vec4 f_color;\nvarying vec3 f_data;\nvarying vec2 f_uv;\n\nvoid main() {\n gl_Position = projection * view * model * vec4(position, 1.0);\n f_color = color;\n f_data = position;\n f_uv = uv;\n}"]),s=n(["precision highp float;\n#define GLSLIFY 1\n\nbool outOfRange(float a, float b, float p) {\n return ((p > max(a, b)) || \n (p < min(a, b)));\n}\n\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\n return (outOfRange(a.x, b.x, p.x) ||\n outOfRange(a.y, b.y, p.y));\n}\n\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\n return (outOfRange(a.x, b.x, p.x) ||\n outOfRange(a.y, b.y, p.y) ||\n outOfRange(a.z, b.z, p.z));\n}\n\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\n return outOfRange(a.xyz, b.xyz, p.xyz);\n}\n\nuniform vec3 clipBounds[2];\nuniform sampler2D texture;\nuniform float opacity;\n\nvarying vec4 f_color;\nvarying vec3 f_data;\nvarying vec2 f_uv;\n\nvoid main() {\n if (outOfRange(clipBounds[0], clipBounds[1], f_data)) discard;\n\n gl_FragColor = f_color * texture2D(texture, f_uv) * opacity;\n}"]),l=n(["precision highp float;\n#define GLSLIFY 1\n\nbool outOfRange(float a, float b, float p) {\n return ((p > max(a, b)) || \n (p < min(a, b)));\n}\n\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\n return (outOfRange(a.x, b.x, p.x) ||\n outOfRange(a.y, b.y, p.y));\n}\n\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\n return (outOfRange(a.x, b.x, p.x) ||\n outOfRange(a.y, b.y, p.y) ||\n outOfRange(a.z, b.z, p.z));\n}\n\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\n return outOfRange(a.xyz, b.xyz, p.xyz);\n}\n\nattribute vec3 position;\nattribute vec4 color;\nattribute vec2 uv;\nattribute float pointSize;\n\nuniform mat4 model, view, projection;\nuniform vec3 clipBounds[2];\n\nvarying vec4 f_color;\nvarying vec2 f_uv;\n\nvoid main() {\n if (outOfRange(clipBounds[0], clipBounds[1], position)) {\n\n gl_Position = vec4(0.0, 0.0 ,0.0 ,0.0);\n } else {\n gl_Position = projection * view * model * vec4(position, 1.0);\n }\n gl_PointSize = pointSize;\n f_color = color;\n f_uv = uv;\n}"]),u=n(["precision highp float;\n#define GLSLIFY 1\n\nuniform sampler2D texture;\nuniform float opacity;\n\nvarying vec4 f_color;\nvarying vec2 f_uv;\n\nvoid main() {\n vec2 pointR = gl_PointCoord.xy - vec2(0.5, 0.5);\n if(dot(pointR, pointR) > 0.25) {\n discard;\n }\n gl_FragColor = f_color * texture2D(texture, f_uv) * opacity;\n}"]),c=n(["precision highp float;\n#define GLSLIFY 1\n\nattribute vec3 position;\nattribute vec4 id;\n\nuniform mat4 model, view, projection;\n\nvarying vec3 f_position;\nvarying vec4 f_id;\n\nvoid main() {\n gl_Position = projection * view * model * vec4(position, 1.0);\n f_id = id;\n f_position = position;\n}"]),f=n(["precision highp float;\n#define GLSLIFY 1\n\nbool outOfRange(float a, float b, float p) {\n return ((p > max(a, b)) || \n (p < min(a, b)));\n}\n\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\n return (outOfRange(a.x, b.x, p.x) ||\n outOfRange(a.y, b.y, p.y));\n}\n\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\n return (outOfRange(a.x, b.x, p.x) ||\n outOfRange(a.y, b.y, p.y) ||\n outOfRange(a.z, b.z, p.z));\n}\n\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\n return outOfRange(a.xyz, b.xyz, p.xyz);\n}\n\nuniform vec3 clipBounds[2];\nuniform float pickId;\n\nvarying vec3 f_position;\nvarying vec4 f_id;\n\nvoid main() {\n if (outOfRange(clipBounds[0], clipBounds[1], f_position)) discard;\n\n gl_FragColor = vec4(pickId, f_id.xyz);\n}"]),h=n(["precision highp float;\n#define GLSLIFY 1\n\nbool outOfRange(float a, float b, float p) {\n return ((p > max(a, b)) || \n (p < min(a, b)));\n}\n\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\n return (outOfRange(a.x, b.x, p.x) ||\n outOfRange(a.y, b.y, p.y));\n}\n\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\n return (outOfRange(a.x, b.x, p.x) ||\n outOfRange(a.y, b.y, p.y) ||\n outOfRange(a.z, b.z, p.z));\n}\n\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\n return outOfRange(a.xyz, b.xyz, p.xyz);\n}\n\nattribute vec3 position;\nattribute float pointSize;\nattribute vec4 id;\n\nuniform mat4 model, view, projection;\nuniform vec3 clipBounds[2];\n\nvarying vec3 f_position;\nvarying vec4 f_id;\n\nvoid main() {\n if (outOfRange(clipBounds[0], clipBounds[1], position)) {\n\n gl_Position = vec4(0.0, 0.0, 0.0, 0.0);\n } else {\n gl_Position = projection * view * model * vec4(position, 1.0);\n gl_PointSize = pointSize;\n }\n f_id = id;\n f_position = position;\n}"]),p=n(["precision highp float;\n#define GLSLIFY 1\n\nattribute vec3 position;\n\nuniform mat4 model, view, projection;\n\nvoid main() {\n gl_Position = projection * view * model * vec4(position, 1.0);\n}"]),d=n(["precision highp float;\n#define GLSLIFY 1\n\nuniform vec3 contourColor;\n\nvoid main() {\n gl_FragColor = vec4(contourColor, 1.0);\n}\n"]);e.meshShader={vertex:i,fragment:a,attributes:[{name:"position",type:"vec3"},{name:"normal",type:"vec3"},{name:"color",type:"vec4"},{name:"uv",type:"vec2"}]},e.wireShader={vertex:o,fragment:s,attributes:[{name:"position",type:"vec3"},{name:"color",type:"vec4"},{name:"uv",type:"vec2"}]},e.pointShader={vertex:l,fragment:u,attributes:[{name:"position",type:"vec3"},{name:"color",type:"vec4"},{name:"uv",type:"vec2"},{name:"pointSize",type:"float"}]},e.pickShader={vertex:c,fragment:f,attributes:[{name:"position",type:"vec3"},{name:"id",type:"vec4"}]},e.pointPickShader={vertex:h,fragment:f,attributes:[{name:"position",type:"vec3"},{name:"pointSize",type:"float"},{name:"id",type:"vec4"}]},e.contourShader={vertex:p,fragment:d,attributes:[{name:"position",type:"vec3"}]}},8116:function(t,e,r){"use strict";var n=r(5158),i=r(5827),a=r(2944),o=r(8931),s=r(115),l=r(104),u=r(7437),c=r(5050),f=r(9156),h=r(7212),p=r(5306),d=r(2056),v=r(4340),g=d.meshShader,y=d.wireShader,m=d.pointShader,x=d.pickShader,b=d.pointPickShader,_=d.contourShader,w=[1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1];function T(t,e,r,n,i,a,o,s,l,u,c,f,h,p,d,v,g,y,m,x,b,_,T,k,A,M,S){this.gl=t,this.pixelRatio=1,this.cells=[],this.positions=[],this.intensity=[],this.texture=e,this.dirty=!0,this.triShader=r,this.lineShader=n,this.pointShader=i,this.pickShader=a,this.pointPickShader=o,this.contourShader=s,this.trianglePositions=l,this.triangleColors=c,this.triangleNormals=h,this.triangleUVs=f,this.triangleIds=u,this.triangleVAO=p,this.triangleCount=0,this.lineWidth=1,this.edgePositions=d,this.edgeColors=g,this.edgeUVs=y,this.edgeIds=v,this.edgeVAO=m,this.edgeCount=0,this.pointPositions=x,this.pointColors=_,this.pointUVs=T,this.pointSizes=k,this.pointIds=b,this.pointVAO=A,this.pointCount=0,this.contourLineWidth=1,this.contourPositions=M,this.contourVAO=S,this.contourCount=0,this.contourColor=[0,0,0],this.contourEnable=!0,this.pickVertex=!0,this.pickId=1,this.bounds=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]],this.clipBounds=[[-1/0,-1/0,-1/0],[1/0,1/0,1/0]],this.lightPosition=[1e5,1e5,0],this.ambientLight=.8,this.diffuseLight=.8,this.specularLight=2,this.roughness=.5,this.fresnel=1.5,this.opacity=1,this.hasAlpha=!1,this.opacityscale=!1,this._model=w,this._view=w,this._projection=w,this._resolution=[1,1]}var k=T.prototype;function A(t,e){if(!e)return 1;if(!e.length)return 1;for(var r=0;rt&&r>0){var n=(e[r][0]-t)/(e[r][0]-e[r-1][0]);return e[r][1]*(1-n)+n*e[r-1][1]}}return 1}function M(t){var e=n(t,m.vertex,m.fragment);return e.attributes.position.location=0,e.attributes.color.location=2,e.attributes.uv.location=3,e.attributes.pointSize.location=4,e}function S(t){var e=n(t,x.vertex,x.fragment);return e.attributes.position.location=0,e.attributes.id.location=1,e}function E(t){var e=n(t,b.vertex,b.fragment);return e.attributes.position.location=0,e.attributes.id.location=1,e.attributes.pointSize.location=4,e}function L(t){var e=n(t,_.vertex,_.fragment);return e.attributes.position.location=0,e}k.isOpaque=function(){return!this.hasAlpha},k.isTransparent=function(){return this.hasAlpha},k.pickSlots=1,k.setPickBase=function(t){this.pickId=t},k.highlight=function(t){if(t&&this.contourEnable){for(var e=h(this.cells,this.intensity,t.intensity),r=e.cells,n=e.vertexIds,i=e.vertexWeights,a=r.length,o=p.mallocFloat32(6*a),s=0,l=0;l0&&((f=this.triShader).bind(),f.uniforms=s,this.triangleVAO.bind(),e.drawArrays(e.TRIANGLES,0,3*this.triangleCount),this.triangleVAO.unbind()),this.edgeCount>0&&this.lineWidth>0&&((f=this.lineShader).bind(),f.uniforms=s,this.edgeVAO.bind(),e.lineWidth(this.lineWidth*this.pixelRatio),e.drawArrays(e.LINES,0,2*this.edgeCount),this.edgeVAO.unbind()),this.pointCount>0&&((f=this.pointShader).bind(),f.uniforms=s,this.pointVAO.bind(),e.drawArrays(e.POINTS,0,this.pointCount),this.pointVAO.unbind()),this.contourEnable&&this.contourCount>0&&this.contourLineWidth>0&&((f=this.contourShader).bind(),f.uniforms=s,this.contourVAO.bind(),e.drawArrays(e.LINES,0,this.contourCount),this.contourVAO.unbind())},k.drawPick=function(t){t=t||{};for(var e=this.gl,r=t.model||w,n=t.view||w,i=t.projection||w,a=[[-1e6,-1e6,-1e6],[1e6,1e6,1e6]],o=0;o<3;++o)a[0][o]=Math.max(a[0][o],this.clipBounds[0][o]),a[1][o]=Math.min(a[1][o],this.clipBounds[1][o]);this._model=[].slice.call(r),this._view=[].slice.call(n),this._projection=[].slice.call(i),this._resolution=[e.drawingBufferWidth,e.drawingBufferHeight];var s,l={model:r,view:n,projection:i,clipBounds:a,pickId:this.pickId/255};(s=this.pickShader).bind(),s.uniforms=l,this.triangleCount>0&&(this.triangleVAO.bind(),e.drawArrays(e.TRIANGLES,0,3*this.triangleCount),this.triangleVAO.unbind()),this.edgeCount>0&&(this.edgeVAO.bind(),e.lineWidth(this.lineWidth*this.pixelRatio),e.drawArrays(e.LINES,0,2*this.edgeCount),this.edgeVAO.unbind()),this.pointCount>0&&((s=this.pointPickShader).bind(),s.uniforms=l,this.pointVAO.bind(),e.drawArrays(e.POINTS,0,this.pointCount),this.pointVAO.unbind())},k.pick=function(t){if(!t)return null;if(t.id!==this.pickId)return null;for(var e=t.value[0]+256*t.value[1]+65536*t.value[2],r=this.cells[e],n=this.positions,i=new Array(r.length),a=0;ai[k]&&(r.uniforms.dataAxis=u,r.uniforms.screenOffset=c,r.uniforms.color=g[t],r.uniforms.angle=y[t],a.drawArrays(a.TRIANGLES,i[k],i[A]-i[k]))),m[t]&&T&&(c[1^t]-=M*p*x[t],r.uniforms.dataAxis=f,r.uniforms.screenOffset=c,r.uniforms.color=b[t],r.uniforms.angle=_[t],a.drawArrays(a.TRIANGLES,w,T)),c[1^t]=M*s[2+(1^t)]-1,d[t+2]&&(c[1^t]+=M*p*v[t+2],ki[k]&&(r.uniforms.dataAxis=u,r.uniforms.screenOffset=c,r.uniforms.color=g[t+2],r.uniforms.angle=y[t+2],a.drawArrays(a.TRIANGLES,i[k],i[A]-i[k]))),m[t+2]&&T&&(c[1^t]+=M*p*x[t+2],r.uniforms.dataAxis=f,r.uniforms.screenOffset=c,r.uniforms.color=b[t+2],r.uniforms.angle=_[t+2],a.drawArrays(a.TRIANGLES,w,T))}),v.drawTitle=function(){var t=[0,0],e=[0,0];return function(){var r=this.plot,n=this.shader,i=r.gl,a=r.screenBox,o=r.titleCenter,s=r.titleAngle,l=r.titleColor,u=r.pixelRatio;if(this.titleCount){for(var c=0;c<2;++c)e[c]=2*(o[c]*u-a[c])/(a[2+c]-a[c])-1;n.bind(),n.uniforms.dataAxis=t,n.uniforms.screenOffset=e,n.uniforms.angle=s,n.uniforms.color=l,i.drawArrays(i.TRIANGLES,this.titleOffset,this.titleCount)}}}(),v.bind=(h=[0,0],p=[0,0],d=[0,0],function(){var t=this.plot,e=this.shader,r=t._tickBounds,n=t.dataBox,i=t.screenBox,a=t.viewBox;e.bind();for(var o=0;o<2;++o){var s=r[o],l=r[o+2]-s,u=.5*(n[o+2]+n[o]),c=n[o+2]-n[o],f=a[o],v=a[o+2]-f,g=i[o],y=i[o+2]-g;p[o]=2*l/c*v/y,h[o]=2*(s-u)/c*v/y}d[1]=2*t.pixelRatio/(i[3]-i[1]),d[0]=d[1]*(i[3]-i[1])/(i[2]-i[0]),e.uniforms.dataScale=p,e.uniforms.dataShift=h,e.uniforms.textScale=d,this.vbo.bind(),e.attributes.textCoordinate.pointer()}),v.update=function(t){var e,r,n,i,o,s=[],l=t.ticks,u=t.bounds;for(o=0;o<2;++o){var c=[Math.floor(s.length/3)],f=[-1/0],h=l[o];for(e=0;e=0){var v=e[d]-n[d]*(e[d+2]-e[d])/(n[d+2]-n[d]);0===d?o.drawLine(v,e[1],v,e[3],p[d],h[d]):o.drawLine(e[0],v,e[2],v,p[d],h[d])}}for(d=0;d=0;--t)this.objects[t].dispose();for(this.objects.length=0,t=this.overlays.length-1;t>=0;--t)this.overlays[t].dispose();this.overlays.length=0,this.gl=null},u.addObject=function(t){this.objects.indexOf(t)<0&&(this.objects.push(t),this.setDirty())},u.removeObject=function(t){for(var e=this.objects,r=0;rMath.abs(e))u.rotate(a,0,0,-t*r*Math.PI*d.rotateSpeed/window.innerWidth);else if(!d._ortho){var o=-d.zoomSpeed*i*e/window.innerHeight*(a-u.lastT())/20;u.pan(a,0,0,f*(Math.exp(o)-1))}}}),!0)},d.enableMouseListeners(),d};var n=r(8161),i=r(1152),a=r(6145),o=r(6475),s=r(2565),l=r(5233)},8245:function(t,e,r){var n=r(6832),i=r(5158),a=n(["precision mediump float;\n#define GLSLIFY 1\nattribute vec2 position;\nvarying vec2 uv;\nvoid main() {\n uv = position;\n gl_Position = vec4(position, 0, 1);\n}"]),o=n(["precision mediump float;\n#define GLSLIFY 1\n\nuniform sampler2D accumBuffer;\nvarying vec2 uv;\n\nvoid main() {\n vec4 accum = texture2D(accumBuffer, 0.5 * (uv + 1.0));\n gl_FragColor = min(vec4(1,1,1,1), accum);\n}"]);t.exports=function(t){return i(t,a,o,null,[{name:"position",type:"vec2"}])}},1059:function(t,e,r){"use strict";var n=r(4296),i=r(7453),a=r(2771),o=r(6496),s=r(2611),l=r(4234),u=r(8126),c=r(6145),f=r(1120),h=r(5268),p=r(8245),d=r(2321)({tablet:!0,featureDetect:!0});function v(){this.mouse=[-1,-1],this.screen=null,this.distance=1/0,this.index=null,this.dataCoordinate=null,this.dataPosition=null,this.object=null,this.data=null}function g(t){var e=Math.round(Math.log(Math.abs(t))/Math.log(10));if(e<0){var r=Math.round(Math.pow(10,-e));return Math.ceil(t*r)/r}return e>0?(r=Math.round(Math.pow(10,e)),Math.ceil(t/r)*r):Math.ceil(t)}function y(t){return"boolean"!=typeof t||t}t.exports={createScene:function(t){(t=t||{}).camera=t.camera||{};var e=t.canvas;e||(e=document.createElement("canvas"),t.container?t.container.appendChild(e):document.body.appendChild(e));var r=t.gl;if(r||(t.glOptions&&(d=!!t.glOptions.preserveDrawingBuffer),r=function(t,e){var r=null;try{(r=t.getContext("webgl",e))||(r=t.getContext("experimental-webgl",e))}catch(t){return null}return r}(e,t.glOptions||{premultipliedAlpha:!0,antialias:!0,preserveDrawingBuffer:d})),!r)throw new Error("webgl not supported");var m=t.bounds||[[-10,-10,-10],[10,10,10]],x=new v,b=l(r,r.drawingBufferWidth,r.drawingBufferHeight,{preferFloat:!d}),_=p(r),w=t.cameraObject&&!0===t.cameraObject._ortho||t.camera.projection&&"orthographic"===t.camera.projection.type||!1,T={eye:t.camera.eye||[2,0,0],center:t.camera.center||[0,0,0],up:t.camera.up||[0,1,0],zoomMin:t.camera.zoomMax||.1,zoomMax:t.camera.zoomMin||100,mode:t.camera.mode||"turntable",_ortho:w},k=t.axes||{},A=i(r,k);A.enable=!k.disable;var M=t.spikes||{},S=o(r,M),E=[],L=[],C=[],P=[],O=!0,I=!0,D={view:null,projection:new Array(16),model:new Array(16),_ortho:!1},z=(I=!0,[r.drawingBufferWidth,r.drawingBufferHeight]),R=t.cameraObject||n(e,T),F={gl:r,contextLost:!1,pixelRatio:t.pixelRatio||1,canvas:e,selection:x,camera:R,axes:A,axesPixels:null,spikes:S,bounds:m,objects:E,shape:z,aspect:t.aspectRatio||[1,1,1],pickRadius:t.pickRadius||10,zNear:t.zNear||.01,zFar:t.zFar||1e3,fovy:t.fovy||Math.PI/4,clearColor:t.clearColor||[0,0,0,0],autoResize:y(t.autoResize),autoBounds:y(t.autoBounds),autoScale:!!t.autoScale,autoCenter:y(t.autoCenter),clipToBounds:y(t.clipToBounds),snapToData:!!t.snapToData,onselect:t.onselect||null,onrender:t.onrender||null,onclick:t.onclick||null,cameraParams:D,oncontextloss:null,mouseListener:null,_stopped:!1,getAspectratio:function(){return{x:this.aspect[0],y:this.aspect[1],z:this.aspect[2]}},setAspectratio:function(t){this.aspect[0]=t.x,this.aspect[1]=t.y,this.aspect[2]=t.z,I=!0},setBounds:function(t,e){this.bounds[0][t]=e.min,this.bounds[1][t]=e.max},setClearColor:function(t){this.clearColor=t},clearRGBA:function(){this.gl.clearColor(this.clearColor[0],this.clearColor[1],this.clearColor[2],this.clearColor[3]),this.gl.clear(this.gl.COLOR_BUFFER_BIT|this.gl.DEPTH_BUFFER_BIT)}},B=[r.drawingBufferWidth/F.pixelRatio|0,r.drawingBufferHeight/F.pixelRatio|0];function N(){if(!F._stopped&&F.autoResize){var t=e.parentNode,r=1,n=1;t&&t!==document.body?(r=t.clientWidth,n=t.clientHeight):(r=window.innerWidth,n=window.innerHeight);var i=0|Math.ceil(r*F.pixelRatio),a=0|Math.ceil(n*F.pixelRatio);if(i!==e.width||a!==e.height){e.width=i,e.height=a;var o=e.style;o.position=o.position||"absolute",o.left="0px",o.top="0px",o.width=r+"px",o.height=n+"px",O=!0}}}function j(){for(var t=E.length,e=P.length,n=0;n0&&0===C[e-1];)C.pop(),P.pop().dispose()}function U(){if(F.contextLost)return!0;r.isContextLost()&&(F.contextLost=!0,F.mouseListener.enabled=!1,F.selection.object=null,F.oncontextloss&&F.oncontextloss())}F.autoResize&&N(),window.addEventListener("resize",N),F.update=function(t){F._stopped||(t=t||{},O=!0,I=!0)},F.add=function(t){F._stopped||(t.axes=A,E.push(t),L.push(-1),O=!0,I=!0,j())},F.remove=function(t){if(!F._stopped){var e=E.indexOf(t);e<0||(E.splice(e,1),L.pop(),O=!0,I=!0,j())}},F.dispose=function(){if(!F._stopped&&(F._stopped=!0,window.removeEventListener("resize",N),e.removeEventListener("webglcontextlost",U),F.mouseListener.enabled=!1,!F.contextLost)){A.dispose(),S.dispose();for(var t=0;tx.distance)continue;for(var u=0;u 1.0) {\n discard;\n }\n baseColor = mix(borderColor, color, step(radius, centerFraction));\n gl_FragColor = vec4(baseColor.rgb * baseColor.a, baseColor.a);\n }\n}\n"]),e.pickVertex=n(["precision mediump float;\n#define GLSLIFY 1\n\nattribute vec2 position;\nattribute vec4 pickId;\n\nuniform mat3 matrix;\nuniform float pointSize;\nuniform vec4 pickOffset;\n\nvarying vec4 fragId;\n\nvoid main() {\n vec3 hgPosition = matrix * vec3(position, 1);\n gl_Position = vec4(hgPosition.xy, 0, hgPosition.z);\n gl_PointSize = pointSize;\n\n vec4 id = pickId + pickOffset;\n id.y += floor(id.x / 256.0);\n id.x -= floor(id.x / 256.0) * 256.0;\n\n id.z += floor(id.y / 256.0);\n id.y -= floor(id.y / 256.0) * 256.0;\n\n id.w += floor(id.z / 256.0);\n id.z -= floor(id.z / 256.0) * 256.0;\n\n fragId = id;\n}\n"]),e.pickFragment=n(["precision mediump float;\n#define GLSLIFY 1\n\nvarying vec4 fragId;\n\nvoid main() {\n float radius = length(2.0 * gl_PointCoord.xy - 1.0);\n if(radius > 1.0) {\n discard;\n }\n gl_FragColor = fragId / 255.0;\n}\n"])},8271:function(t,e,r){"use strict";var n=r(5158),i=r(5827),a=r(5306),o=r(8023);function s(t,e,r,n,i){this.plot=t,this.offsetBuffer=e,this.pickBuffer=r,this.shader=n,this.pickShader=i,this.sizeMin=.5,this.sizeMinCap=2,this.sizeMax=20,this.areaRatio=1,this.pointCount=0,this.color=[1,0,0,1],this.borderColor=[0,0,0,1],this.blend=!1,this.pickOffset=0,this.points=null}t.exports=function(t,e){var r=t.gl,a=new s(t,i(r),i(r),n(r,o.pointVertex,o.pointFragment),n(r,o.pickVertex,o.pickFragment));return a.update(e),t.addObject(a),a};var l,u,c=s.prototype;c.dispose=function(){this.shader.dispose(),this.pickShader.dispose(),this.offsetBuffer.dispose(),this.pickBuffer.dispose(),this.plot.removeObject(this)},c.update=function(t){var e;function r(e,r){return e in t?t[e]:r}t=t||{},this.sizeMin=r("sizeMin",.5),this.sizeMax=r("sizeMax",20),this.color=r("color",[1,0,0,1]).slice(),this.areaRatio=r("areaRatio",1),this.borderColor=r("borderColor",[0,0,0,1]).slice(),this.blend=r("blend",!1);var n=t.positions.length>>>1,i=t.positions instanceof Float32Array,o=t.idToIndex instanceof Int32Array&&t.idToIndex.length>=n,s=t.positions,l=i?s:a.mallocFloat32(s.length),u=o?t.idToIndex:a.mallocInt32(n);if(i||l.set(s),!o)for(l.set(s),e=0;e>>1;for(r=0;r=e[0]&&a<=e[2]&&o>=e[1]&&o<=e[3]&&n++}return n}(this.points,i),c=this.plot.pickPixelRatio*Math.max(Math.min(this.sizeMinCap,this.sizeMin),Math.min(this.sizeMax,this.sizeMax/Math.pow(s,.33333)));l[0]=2/a,l[4]=2/o,l[6]=-2*i[0]/a-1,l[7]=-2*i[1]/o-1,this.offsetBuffer.bind(),r.bind(),r.attributes.position.pointer(),r.uniforms.matrix=l,r.uniforms.color=this.color,r.uniforms.borderColor=this.borderColor,r.uniforms.pointCloud=c<5,r.uniforms.pointSize=c,r.uniforms.centerFraction=Math.min(1,Math.max(0,Math.sqrt(1-this.areaRatio))),e&&(u[0]=255&t,u[1]=t>>8&255,u[2]=t>>16&255,u[3]=t>>24&255,this.pickBuffer.bind(),r.attributes.pickId.pointer(n.UNSIGNED_BYTE),r.uniforms.pickOffset=u,this.pickOffset=t);var f=n.getParameter(n.BLEND),h=n.getParameter(n.DITHER);return f&&!this.blend&&n.disable(n.BLEND),h&&n.disable(n.DITHER),n.drawArrays(n.POINTS,0,this.pointCount),f&&!this.blend&&n.enable(n.BLEND),h&&n.enable(n.DITHER),t+this.pointCount}),c.draw=c.unifiedDraw,c.drawPick=c.unifiedDraw,c.pick=function(t,e,r){var n=this.pickOffset,i=this.pointCount;if(r=n+i)return null;var a=r-n,o=this.points;return{object:this,pointId:a,dataCoord:[o[2*a],o[2*a+1]]}}},6093:function(t){t.exports=function(t,e,r,n){var i,a,o,s,l,u=e[0],c=e[1],f=e[2],h=e[3],p=r[0],d=r[1],v=r[2],g=r[3];return(a=u*p+c*d+f*v+h*g)<0&&(a=-a,p=-p,d=-d,v=-v,g=-g),1-a>1e-6?(i=Math.acos(a),o=Math.sin(i),s=Math.sin((1-n)*i)/o,l=Math.sin(n*i)/o):(s=1-n,l=n),t[0]=s*u+l*p,t[1]=s*c+l*d,t[2]=s*f+l*v,t[3]=s*h+l*g,t}},8240:function(t){"use strict";t.exports=function(t){return t||0===t?t.toString():""}},4123:function(t,e,r){"use strict";var n=r(875);t.exports=function(t,e,r){var a=i[e];if(a||(a=i[e]={}),t in a)return a[t];var o={textAlign:"center",textBaseline:"middle",lineHeight:1,font:e,lineSpacing:1.25,styletags:{breaklines:!0,bolds:!0,italics:!0,subscripts:!0,superscripts:!0},triangles:!0},s=n(t,o);o.triangles=!1;var l,u,c=n(t,o);if(r&&1!==r){for(l=0;l max(a, b)) || \n (p < min(a, b)));\n}\n\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\n return (outOfRange(a.x, b.x, p.x) ||\n outOfRange(a.y, b.y, p.y));\n}\n\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\n return (outOfRange(a.x, b.x, p.x) ||\n outOfRange(a.y, b.y, p.y) ||\n outOfRange(a.z, b.z, p.z));\n}\n\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\n return outOfRange(a.xyz, b.xyz, p.xyz);\n}\n\nattribute vec3 position;\nattribute vec4 color;\nattribute vec2 glyph;\nattribute vec4 id;\n\nuniform vec4 highlightId;\nuniform float highlightScale;\nuniform mat4 model, view, projection;\nuniform vec3 clipBounds[2];\n\nvarying vec4 interpColor;\nvarying vec4 pickId;\nvarying vec3 dataCoordinate;\n\nvoid main() {\n if (outOfRange(clipBounds[0], clipBounds[1], position)) {\n\n gl_Position = vec4(0,0,0,0);\n } else {\n float scale = 1.0;\n if(distance(highlightId, id) < 0.0001) {\n scale = highlightScale;\n }\n\n vec4 worldPosition = model * vec4(position, 1);\n vec4 viewPosition = view * worldPosition;\n viewPosition = viewPosition / viewPosition.w;\n vec4 clipPosition = projection * (viewPosition + scale * vec4(glyph.x, -glyph.y, 0, 0));\n\n gl_Position = clipPosition;\n interpColor = color;\n pickId = id;\n dataCoordinate = position;\n }\n}"]),o=i(["precision highp float;\n#define GLSLIFY 1\n\nbool outOfRange(float a, float b, float p) {\n return ((p > max(a, b)) || \n (p < min(a, b)));\n}\n\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\n return (outOfRange(a.x, b.x, p.x) ||\n outOfRange(a.y, b.y, p.y));\n}\n\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\n return (outOfRange(a.x, b.x, p.x) ||\n outOfRange(a.y, b.y, p.y) ||\n outOfRange(a.z, b.z, p.z));\n}\n\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\n return outOfRange(a.xyz, b.xyz, p.xyz);\n}\n\nattribute vec3 position;\nattribute vec4 color;\nattribute vec2 glyph;\nattribute vec4 id;\n\nuniform mat4 model, view, projection;\nuniform vec2 screenSize;\nuniform vec3 clipBounds[2];\nuniform float highlightScale, pixelRatio;\nuniform vec4 highlightId;\n\nvarying vec4 interpColor;\nvarying vec4 pickId;\nvarying vec3 dataCoordinate;\n\nvoid main() {\n if (outOfRange(clipBounds[0], clipBounds[1], position)) {\n\n gl_Position = vec4(0,0,0,0);\n } else {\n float scale = pixelRatio;\n if(distance(highlightId.bgr, id.bgr) < 0.001) {\n scale *= highlightScale;\n }\n\n vec4 worldPosition = model * vec4(position, 1.0);\n vec4 viewPosition = view * worldPosition;\n vec4 clipPosition = projection * viewPosition;\n clipPosition /= clipPosition.w;\n\n gl_Position = clipPosition + vec4(screenSize * scale * vec2(glyph.x, -glyph.y), 0.0, 0.0);\n interpColor = color;\n pickId = id;\n dataCoordinate = position;\n }\n}"]),s=i(["precision highp float;\n#define GLSLIFY 1\n\nbool outOfRange(float a, float b, float p) {\n return ((p > max(a, b)) || \n (p < min(a, b)));\n}\n\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\n return (outOfRange(a.x, b.x, p.x) ||\n outOfRange(a.y, b.y, p.y));\n}\n\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\n return (outOfRange(a.x, b.x, p.x) ||\n outOfRange(a.y, b.y, p.y) ||\n outOfRange(a.z, b.z, p.z));\n}\n\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\n return outOfRange(a.xyz, b.xyz, p.xyz);\n}\n\nattribute vec3 position;\nattribute vec4 color;\nattribute vec2 glyph;\nattribute vec4 id;\n\nuniform float highlightScale;\nuniform vec4 highlightId;\nuniform vec3 axes[2];\nuniform mat4 model, view, projection;\nuniform vec2 screenSize;\nuniform vec3 clipBounds[2];\nuniform float scale, pixelRatio;\n\nvarying vec4 interpColor;\nvarying vec4 pickId;\nvarying vec3 dataCoordinate;\n\nvoid main() {\n if (outOfRange(clipBounds[0], clipBounds[1], position)) {\n\n gl_Position = vec4(0,0,0,0);\n } else {\n float lscale = pixelRatio * scale;\n if(distance(highlightId, id) < 0.0001) {\n lscale *= highlightScale;\n }\n\n vec4 clipCenter = projection * view * model * vec4(position, 1);\n vec3 dataPosition = position + 0.5*lscale*(axes[0] * glyph.x + axes[1] * glyph.y) * clipCenter.w * screenSize.y;\n vec4 clipPosition = projection * view * model * vec4(dataPosition, 1);\n\n gl_Position = clipPosition;\n interpColor = color;\n pickId = id;\n dataCoordinate = dataPosition;\n }\n}\n"]),l=i(["precision highp float;\n#define GLSLIFY 1\n\nbool outOfRange(float a, float b, float p) {\n return ((p > max(a, b)) || \n (p < min(a, b)));\n}\n\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\n return (outOfRange(a.x, b.x, p.x) ||\n outOfRange(a.y, b.y, p.y));\n}\n\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\n return (outOfRange(a.x, b.x, p.x) ||\n outOfRange(a.y, b.y, p.y) ||\n outOfRange(a.z, b.z, p.z));\n}\n\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\n return outOfRange(a.xyz, b.xyz, p.xyz);\n}\n\nuniform vec3 fragClipBounds[2];\nuniform float opacity;\n\nvarying vec4 interpColor;\nvarying vec3 dataCoordinate;\n\nvoid main() {\n if (\n outOfRange(fragClipBounds[0], fragClipBounds[1], dataCoordinate) ||\n interpColor.a * opacity == 0.\n ) discard;\n gl_FragColor = interpColor * opacity;\n}\n"]),u=i(["precision highp float;\n#define GLSLIFY 1\n\nbool outOfRange(float a, float b, float p) {\n return ((p > max(a, b)) || \n (p < min(a, b)));\n}\n\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\n return (outOfRange(a.x, b.x, p.x) ||\n outOfRange(a.y, b.y, p.y));\n}\n\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\n return (outOfRange(a.x, b.x, p.x) ||\n outOfRange(a.y, b.y, p.y) ||\n outOfRange(a.z, b.z, p.z));\n}\n\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\n return outOfRange(a.xyz, b.xyz, p.xyz);\n}\n\nuniform vec3 fragClipBounds[2];\nuniform float pickGroup;\n\nvarying vec4 pickId;\nvarying vec3 dataCoordinate;\n\nvoid main() {\n if (outOfRange(fragClipBounds[0], fragClipBounds[1], dataCoordinate)) discard;\n\n gl_FragColor = vec4(pickGroup, pickId.bgr);\n}"]),c=[{name:"position",type:"vec3"},{name:"color",type:"vec4"},{name:"glyph",type:"vec2"},{name:"id",type:"vec4"}],f={vertex:a,fragment:l,attributes:c},h={vertex:o,fragment:l,attributes:c},p={vertex:s,fragment:l,attributes:c},d={vertex:a,fragment:u,attributes:c},v={vertex:o,fragment:u,attributes:c},g={vertex:s,fragment:u,attributes:c};function y(t,e){var r=n(t,e),i=r.attributes;return i.position.location=0,i.color.location=1,i.glyph.location=2,i.id.location=3,r}e.createPerspective=function(t){return y(t,f)},e.createOrtho=function(t){return y(t,h)},e.createProject=function(t){return y(t,p)},e.createPickPerspective=function(t){return y(t,d)},e.createPickOrtho=function(t){return y(t,v)},e.createPickProject=function(t){return y(t,g)}},2182:function(t,e,r){"use strict";var n=r(3596),i=r(5827),a=r(2944),o=r(5306),s=r(104),l=r(9282),u=r(4123),c=r(8240),f=[1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1];function h(t,e){var r=t[0],n=t[1],i=t[2],a=t[3];return t[0]=e[0]*r+e[4]*n+e[8]*i+e[12]*a,t[1]=e[1]*r+e[5]*n+e[9]*i+e[13]*a,t[2]=e[2]*r+e[6]*n+e[10]*i+e[14]*a,t[3]=e[3]*r+e[7]*n+e[11]*i+e[15]*a,t}function p(t,e,r,n){return h(n,n),h(n,n),h(n,n)}function d(t,e){this.index=t,this.dataCoordinate=this.position=e}function v(t){return!0===t||t>1?1:t}function g(t,e,r,n,i,a,o,s,l,u,c,f){this.gl=t,this.pixelRatio=1,this.shader=e,this.orthoShader=r,this.projectShader=n,this.pointBuffer=i,this.colorBuffer=a,this.glyphBuffer=o,this.idBuffer=s,this.vao=l,this.vertexCount=0,this.lineVertexCount=0,this.opacity=1,this.hasAlpha=!1,this.lineWidth=0,this.projectScale=[2/3,2/3,2/3],this.projectOpacity=[1,1,1],this.projectHasAlpha=!1,this.pickId=0,this.pickPerspectiveShader=u,this.pickOrthoShader=c,this.pickProjectShader=f,this.points=[],this._selectResult=new d(0,[0,0,0]),this.useOrtho=!0,this.bounds=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]],this.axesProject=[!0,!0,!0],this.axesBounds=[[-1/0,-1/0,-1/0],[1/0,1/0,1/0]],this.highlightId=[1,1,1,1],this.highlightScale=2,this.clipBounds=[[-1/0,-1/0,-1/0],[1/0,1/0,1/0]],this.dirty=!0}t.exports=function(t){var e=t.gl,r=l.createPerspective(e),n=l.createOrtho(e),o=l.createProject(e),s=l.createPickPerspective(e),u=l.createPickOrtho(e),c=l.createPickProject(e),f=i(e),h=i(e),p=i(e),d=i(e),v=new g(e,r,n,o,f,h,p,d,a(e,[{buffer:f,size:3,type:e.FLOAT},{buffer:h,size:4,type:e.FLOAT},{buffer:p,size:2,type:e.FLOAT},{buffer:d,size:4,type:e.UNSIGNED_BYTE,normalized:!0}]),s,u,c);return v.update(t),v};var y=g.prototype;y.pickSlots=1,y.setPickBase=function(t){this.pickId=t},y.isTransparent=function(){if(this.hasAlpha)return!0;for(var t=0;t<3;++t)if(this.axesProject[t]&&this.projectHasAlpha)return!0;return!1},y.isOpaque=function(){if(!this.hasAlpha)return!0;for(var t=0;t<3;++t)if(this.axesProject[t]&&!this.projectHasAlpha)return!0;return!1};var m=[0,0],x=[0,0,0],b=[0,0,0],_=[0,0,0,1],w=[0,0,0,1],T=f.slice(),k=[0,0,0],A=[[0,0,0],[0,0,0]];function M(t){return t[0]=t[1]=t[2]=0,t}function S(t,e){return t[0]=e[0],t[1]=e[1],t[2]=e[2],t[3]=1,t}function E(t,e,r,n){return t[0]=e[0],t[1]=e[1],t[2]=e[2],t[r]=n,t}var L=[[-1e8,-1e8,-1e8],[1e8,1e8,1e8]];function C(t,e,r,n,i,a,o){var l=r.gl;if((a===r.projectHasAlpha||o)&&function(t,e,r,n){var i,a=e.axesProject,o=e.gl,l=t.uniforms,u=r.model||f,c=r.view||f,h=r.projection||f,d=e.axesBounds,v=function(t){for(var e=A,r=0;r<2;++r)for(var n=0;n<3;++n)e[r][n]=Math.max(Math.min(t[r][n],1e8),-1e8);return e}(e.clipBounds);i=e.axes&&e.axes.lastCubeProps?e.axes.lastCubeProps.axis:[1,1,1],m[0]=2/o.drawingBufferWidth,m[1]=2/o.drawingBufferHeight,t.bind(),l.view=c,l.projection=h,l.screenSize=m,l.highlightId=e.highlightId,l.highlightScale=e.highlightScale,l.clipBounds=v,l.pickGroup=e.pickId/255,l.pixelRatio=n;for(var g=0;g<3;++g)if(a[g]){l.scale=e.projectScale[g],l.opacity=e.projectOpacity[g];for(var y=T,L=0;L<16;++L)y[L]=0;for(L=0;L<4;++L)y[5*L]=1;y[5*g]=0,i[g]<0?y[12+g]=d[0][g]:y[12+g]=d[1][g],s(y,u,y),l.model=y;var C=(g+1)%3,P=(g+2)%3,O=M(x),I=M(b);O[C]=1,I[P]=1;var D=p(0,0,0,S(_,O)),z=p(0,0,0,S(w,I));if(Math.abs(D[1])>Math.abs(z[1])){var R=D;D=z,z=R,R=O,O=I,I=R;var F=C;C=P,P=F}D[0]<0&&(O[C]=-1),z[1]>0&&(I[P]=-1);var B=0,N=0;for(L=0;L<4;++L)B+=Math.pow(u[4*C+L],2),N+=Math.pow(u[4*P+L],2);O[C]/=Math.sqrt(B),I[P]/=Math.sqrt(N),l.axes[0]=O,l.axes[1]=I,l.fragClipBounds[0]=E(k,v[0],g,-1e8),l.fragClipBounds[1]=E(k,v[1],g,1e8),e.vao.bind(),e.vao.draw(o.TRIANGLES,e.vertexCount),e.lineWidth>0&&(o.lineWidth(e.lineWidth*n),e.vao.draw(o.LINES,e.lineVertexCount,e.vertexCount)),e.vao.unbind()}}(e,r,n,i),a===r.hasAlpha||o){t.bind();var 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vector;\nattribute vec4 color, position;\nattribute vec2 uv;\n\nuniform float vectorScale, tubeScale;\nuniform mat4 model, view, projection, inverseModel;\nuniform vec3 eyePosition, lightPosition;\n\nvarying vec3 f_normal, f_lightDirection, f_eyeDirection, f_data, f_position;\nvarying vec4 f_color;\nvarying vec2 f_uv;\n\nvoid main() {\n // Scale the vector magnitude to stay constant with\n // model & view changes.\n vec3 normal;\n vec3 XYZ = getTubePosition(mat3(model) * (tubeScale * vector.w * normalize(vector.xyz)), position.w, normal);\n vec4 tubePosition = model * vec4(position.xyz, 1.0) + vec4(XYZ, 0.0);\n\n //Lighting geometry parameters\n vec4 cameraCoordinate = view * tubePosition;\n cameraCoordinate.xyz /= cameraCoordinate.w;\n f_lightDirection = lightPosition - cameraCoordinate.xyz;\n f_eyeDirection = eyePosition - cameraCoordinate.xyz;\n f_normal = normalize((vec4(normal, 0.0) * inverseModel).xyz);\n\n // vec4 m_position = model * vec4(tubePosition, 1.0);\n vec4 t_position = 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H), 0.0);\n float VdotH = max(dot(viewDirection, H), 0.000001);\n float LdotH = max(dot(lightDirection, H), 0.000001);\n float G1 = (2.0 * NdotH * VdotN) / VdotH;\n float G2 = (2.0 * NdotH * LdotN) / LdotH;\n float G = min(1.0, min(G1, G2));\n \n //Distribution term\n float D = beckmannDistribution(NdotH, roughness);\n\n //Fresnel term\n float F = pow(1.0 - VdotN, fresnel);\n\n //Multiply terms and done\n return G * F * D / max(3.14159265 * VdotN, 0.000001);\n}\n\nbool outOfRange(float a, float b, float p) {\n return ((p > max(a, b)) || \n (p < min(a, b)));\n}\n\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\n return (outOfRange(a.x, b.x, p.x) ||\n outOfRange(a.y, b.y, p.y));\n}\n\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\n return (outOfRange(a.x, b.x, p.x) ||\n outOfRange(a.y, b.y, p.y) ||\n outOfRange(a.z, b.z, p.z));\n}\n\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\n return outOfRange(a.xyz, b.xyz, p.xyz);\n}\n\nuniform vec3 clipBounds[2];\nuniform float roughness, fresnel, kambient, 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b.y, p.y) ||\n outOfRange(a.z, b.z, p.z));\n}\n\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\n return outOfRange(a.xyz, b.xyz, p.xyz);\n}\n\nuniform vec3 clipBounds[2];\nuniform float pickId;\n\nvarying vec3 f_position;\nvarying vec4 f_id;\n\nvoid main() {\n if (outOfRange(clipBounds[0], clipBounds[1], f_position)) discard;\n\n gl_FragColor = vec4(pickId, f_id.xyz);\n}"]);e.meshShader={vertex:i,fragment:a,attributes:[{name:"position",type:"vec4"},{name:"color",type:"vec4"},{name:"uv",type:"vec2"},{name:"vector",type:"vec4"}]},e.pickShader={vertex:o,fragment:s,attributes:[{name:"position",type:"vec4"},{name:"id",type:"vec4"},{name:"vector",type:"vec4"}]}},7307:function(t,e,r){"use strict";var n=r(2858),i=r(4020),a=["xyz","xzy","yxz","yzx","zxy","zyx"],o=function(t,e){var r,n=t.length;for(r=0;re)return r-1}return r},s=function(t,e,r){return tr?r:t},l=function(t){var e=1/0;t.sort((function(t,e){return t-e}));for(var r=t.length,n=1;nf-1||m>h-1||x>p-1)return n.create();var b,_,w,T,k,A,M=a[0][d],S=a[0][y],E=a[1][v],L=a[1][m],C=a[2][g],P=(l-M)/(S-M),O=(u-E)/(L-E),I=(c-C)/(a[2][x]-C);switch(isFinite(P)||(P=.5),isFinite(O)||(O=.5),isFinite(I)||(I=.5),r.reversedX&&(d=f-1-d,y=f-1-y),r.reversedY&&(v=h-1-v,m=h-1-m),r.reversedZ&&(g=p-1-g,x=p-1-x),r.filled){case 5:k=g,A=x,w=v*p,T=m*p,b=d*p*h,_=y*p*h;break;case 4:k=g,A=x,b=d*p,_=y*p,w=v*p*f,T=m*p*f;break;case 3:w=v,T=m,k=g*h,A=x*h,b=d*h*p,_=y*h*p;break;case 2:w=v,T=m,b=d*h,_=y*h,k=g*h*f,A=x*h*f;break;case 1:b=d,_=y,k=g*f,A=x*f,w=v*f*p,T=m*f*p;break;default:b=d,_=y,w=v*f,T=m*f,k=g*f*h,A=x*f*h}var D=i[b+w+k],z=i[b+w+A],R=i[b+T+k],F=i[b+T+A],B=i[_+w+k],N=i[_+w+A],j=i[_+T+k],U=i[_+T+A],V=n.create(),q=n.create(),H=n.create(),G=n.create();n.lerp(V,D,B,P),n.lerp(q,z,N,P),n.lerp(H,R,j,P),n.lerp(G,F,U,P);var W=n.create(),Y=n.create();n.lerp(W,V,H,O),n.lerp(Y,q,G,O);var X=n.create();return n.lerp(X,W,Y,I),X}(e,t,p)},v=t.getDivergence||function(t,e){var r=n.create(),i=1e-4;n.add(r,t,[i,0,0]);var a=d(r);n.subtract(a,a,e),n.scale(a,a,1/i),n.add(r,t,[0,i,0]);var o=d(r);n.subtract(o,o,e),n.scale(o,o,1/i),n.add(r,t,[0,0,i]);var s=d(r);return n.subtract(s,s,e),n.scale(s,s,1/i),n.add(r,a,o),n.add(r,r,s),r},g=[],y=e[0][0],m=e[0][1],x=e[0][2],b=e[1][0],_=e[1][1],w=e[1][2],T=function(t){var e=t[0],r=t[1],n=t[2];return!(eb||r_||nw)},k=10*n.distance(e[0],e[1])/u,A=k*k,M=1,S=0,E=r.length;E>1&&(M=function(t){for(var e=[],r=[],n=[],i={},a={},o={},s=t.length,u=0;uS&&(S=F),z.push(F),g.push({points:P,velocities:O,divergences:z});for(var B=0;B<100*u&&P.lengthA&&n.scale(N,N,k/Math.sqrt(j)),n.add(N,N,C),I=d(N),n.squaredDistance(D,N)-A>-1e-4*A&&(P.push(N),D=N,O.push(I),R=v(N,I),F=n.length(R),isFinite(F)&&F>S&&(S=F),z.push(F)),C=N}}var U=function(t,e,r,a){for(var o=0,s=0;s0)for(T=0;T<8;T++){var k=(T+1)%8;u.push(h[T],p[T],p[k],p[k],h[k],h[T]),f.push(m,y,y,y,m,m),d.push(v,g,g,g,v,v);var A=u.length;c.push([A-6,A-5,A-4],[A-3,A-2,A-1])}var M=h;h=p,p=M;var S=m;m=y,y=S;var E=v;v=g,g=E}return{positions:u,cells:c,vectors:f,vertexIntensity:d}}(t,r,a,o)})),f=[],h=[],p=[],d=[];for(s=0;s max(a, b)) || \n (p < min(a, b)));\n}\n\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\n return (outOfRange(a.x, b.x, p.x) ||\n outOfRange(a.y, b.y, p.y));\n}\n\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\n return (outOfRange(a.x, b.x, p.x) ||\n outOfRange(a.y, b.y, p.y) ||\n outOfRange(a.z, b.z, p.z));\n}\n\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\n return outOfRange(a.xyz, b.xyz, p.xyz);\n}\n\nuniform vec3 lowerBound, upperBound;\nuniform float contourTint;\nuniform vec4 contourColor;\nuniform sampler2D colormap;\nuniform vec3 clipBounds[2];\nuniform float roughness, fresnel, kambient, kdiffuse, kspecular, opacity;\nuniform float vertexColor;\n\nvarying float value, kill;\nvarying vec3 worldCoordinate;\nvarying vec3 lightDirection, eyeDirection, surfaceNormal;\nvarying vec4 vColor;\n\nvoid main() {\n if (\n kill > 0.0 ||\n vColor.a == 0.0 ||\n outOfRange(clipBounds[0], clipBounds[1], worldCoordinate)\n ) discard;\n\n vec3 N = normalize(surfaceNormal);\n vec3 V = normalize(eyeDirection);\n vec3 L = normalize(lightDirection);\n\n if(gl_FrontFacing) {\n N = -N;\n }\n\n float specular = max(beckmannSpecular(L, V, N, roughness), 0.);\n float diffuse = min(kambient + kdiffuse * max(dot(N, L), 0.0), 1.0);\n\n //decide how to interpolate color — in vertex or in fragment\n vec4 surfaceColor =\n step(vertexColor, .5) * texture2D(colormap, vec2(value, value)) +\n step(.5, vertexColor) * vColor;\n\n vec4 litColor = surfaceColor.a * vec4(diffuse * surfaceColor.rgb + kspecular * vec3(1,1,1) * specular, 1.0);\n\n gl_FragColor = mix(litColor, contourColor, contourTint) * opacity;\n}\n"]),s=i(["precision highp float;\n#define GLSLIFY 1\n\nattribute vec4 uv;\nattribute float f;\n\nuniform vec3 objectOffset;\nuniform mat3 permutation;\nuniform mat4 model, view, projection;\nuniform float height, zOffset;\nuniform sampler2D colormap;\n\nvarying float value, kill;\nvarying vec3 worldCoordinate;\nvarying vec2 planeCoordinate;\nvarying vec3 lightDirection, eyeDirection, surfaceNormal;\nvarying vec4 vColor;\n\nvoid main() {\n vec3 dataCoordinate = permutation * vec3(uv.xy, height);\n worldCoordinate = objectOffset + dataCoordinate;\n vec4 worldPosition = model * vec4(worldCoordinate, 1.0);\n\n vec4 clipPosition = projection * view * worldPosition;\n clipPosition.z += zOffset;\n\n gl_Position = clipPosition;\n value = f + objectOffset.z;\n kill = -1.0;\n planeCoordinate = uv.zw;\n\n vColor = texture2D(colormap, vec2(value, value));\n\n //Don't do lighting for contours\n surfaceNormal = vec3(1,0,0);\n eyeDirection = vec3(0,1,0);\n lightDirection = vec3(0,0,1);\n}\n"]),l=i(["precision highp float;\n#define GLSLIFY 1\n\nbool outOfRange(float a, float b, float p) {\n return ((p > max(a, b)) || \n (p < min(a, b)));\n}\n\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\n return (outOfRange(a.x, b.x, p.x) ||\n outOfRange(a.y, b.y, p.y));\n}\n\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\n return (outOfRange(a.x, b.x, p.x) ||\n outOfRange(a.y, b.y, p.y) ||\n outOfRange(a.z, b.z, p.z));\n}\n\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\n return outOfRange(a.xyz, b.xyz, p.xyz);\n}\n\nuniform vec2 shape;\nuniform vec3 clipBounds[2];\nuniform float pickId;\n\nvarying float value, kill;\nvarying vec3 worldCoordinate;\nvarying vec2 planeCoordinate;\nvarying vec3 surfaceNormal;\n\nvec2 splitFloat(float v) {\n float vh = 255.0 * v;\n float upper = floor(vh);\n float lower = fract(vh);\n return vec2(upper / 255.0, floor(lower * 16.0) / 16.0);\n}\n\nvoid main() {\n if ((kill > 0.0) ||\n (outOfRange(clipBounds[0], clipBounds[1], worldCoordinate))) discard;\n\n vec2 ux = splitFloat(planeCoordinate.x / shape.x);\n vec2 uy = splitFloat(planeCoordinate.y / shape.y);\n gl_FragColor = vec4(pickId, ux.x, uy.x, ux.y + (uy.y/16.0));\n}\n"]);e.createShader=function(t){var e=n(t,a,o,null,[{name:"uv",type:"vec4"},{name:"f",type:"vec3"},{name:"normal",type:"vec3"}]);return e.attributes.uv.location=0,e.attributes.f.location=1,e.attributes.normal.location=2,e},e.createPickShader=function(t){var e=n(t,a,l,null,[{name:"uv",type:"vec4"},{name:"f",type:"vec3"},{name:"normal",type:"vec3"}]);return e.attributes.uv.location=0,e.attributes.f.location=1,e.attributes.normal.location=2,e},e.createContourShader=function(t){var e=n(t,s,o,null,[{name:"uv",type:"vec4"},{name:"f",type:"float"}]);return e.attributes.uv.location=0,e.attributes.f.location=1,e},e.createPickContourShader=function(t){var e=n(t,s,l,null,[{name:"uv",type:"vec4"},{name:"f",type:"float"}]);return e.attributes.uv.location=0,e.attributes.f.location=1,e}},3754:function(t,e,r){"use strict";t.exports=function(t){var e=t.gl,r=m(e),n=b(e),s=x(e),l=_(e),u=i(e),c=a(e,[{buffer:u,size:4,stride:w,offset:0},{buffer:u,size:3,stride:w,offset:16},{buffer:u,size:3,stride:w,offset:28}]),f=i(e),h=a(e,[{buffer:f,size:4,stride:20,offset:0},{buffer:f,size:1,stride:20,offset:16}]),p=i(e),d=a(e,[{buffer:p,size:2,type:e.FLOAT}]),v=o(e,1,S,e.RGBA,e.UNSIGNED_BYTE);v.minFilter=e.LINEAR,v.magFilter=e.LINEAR;var g=new E(e,[0,0],[[0,0,0],[0,0,0]],r,n,u,c,v,s,l,f,h,p,d,[0,0,0]),y={levels:[[],[],[]]};for(var T in t)y[T]=t[T];return y.colormap=y.colormap||"jet",g.update(y),g};var n=r(2288),i=r(5827),a=r(2944),o=r(8931),s=r(5306),l=r(9156),u=r(7498),c=r(7382),f=r(5050),h=r(4162),p=r(104),d=r(7437),v=r(5070),g=r(9144),y=r(9054),m=y.createShader,x=y.createContourShader,b=y.createPickShader,_=y.createPickContourShader,w=40,T=[1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1],k=[[0,0],[0,1],[1,0],[1,1],[1,0],[0,1]],A=[[0,0,0,0,0,0,0,0,0],[0,0,0,0,0,0,0,0,0],[0,0,0,0,0,0,0,0,0]];function M(t,e,r,n,i){this.position=t,this.index=e,this.uv=r,this.level=n,this.dataCoordinate=i}!function(){for(var t=0;t<3;++t){var e=A[t],r=(t+2)%3;e[(t+1)%3+0]=1,e[r+3]=1,e[t+6]=1}}();var S=256;function E(t,e,r,n,i,a,o,l,u,c,h,p,d,v,g){this.gl=t,this.shape=e,this.bounds=r,this.objectOffset=g,this.intensityBounds=[],this._shader=n,this._pickShader=i,this._coordinateBuffer=a,this._vao=o,this._colorMap=l,this._contourShader=u,this._contourPickShader=c,this._contourBuffer=h,this._contourVAO=p,this._contourOffsets=[[],[],[]],this._contourCounts=[[],[],[]],this._vertexCount=0,this._pickResult=new M([0,0,0],[0,0],[0,0],[0,0,0],[0,0,0]),this._dynamicBuffer=d,this._dynamicVAO=v,this._dynamicOffsets=[0,0,0],this._dynamicCounts=[0,0,0],this.contourWidth=[1,1,1],this.contourLevels=[[1],[1],[1]],this.contourTint=[0,0,0],this.contourColor=[[.5,.5,.5,1],[.5,.5,.5,1],[.5,.5,.5,1]],this.showContour=!0,this.showSurface=!0,this.enableHighlight=[!0,!0,!0],this.highlightColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.highlightTint=[1,1,1],this.highlightLevel=[-1,-1,-1],this.enableDynamic=[!0,!0,!0],this.dynamicLevel=[NaN,NaN,NaN],this.dynamicColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.dynamicTint=[1,1,1],this.dynamicWidth=[1,1,1],this.axesBounds=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]],this.surfaceProject=[!1,!1,!1],this.contourProject=[[!1,!1,!1],[!1,!1,!1],[!1,!1,!1]],this.colorBounds=[!1,!1],this._field=[f(s.mallocFloat(1024),[0,0]),f(s.mallocFloat(1024),[0,0]),f(s.mallocFloat(1024),[0,0])],this.pickId=1,this.clipBounds=[[-1/0,-1/0,-1/0],[1/0,1/0,1/0]],this.snapToData=!1,this.pixelRatio=1,this.opacity=1,this.lightPosition=[10,1e4,0],this.ambientLight=.8,this.diffuseLight=.8,this.specularLight=2,this.roughness=.5,this.fresnel=1.5,this.vertexColor=0,this.dirty=!0}var L=E.prototype;L.genColormap=function(t,e){var r=!1,n=c([l({colormap:t,nshades:S,format:"rgba"}).map((function(t,n){var i=e?function(t,e){if(!e)return 1;if(!e.length)return 1;for(var r=0;rt&&r>0){var n=(e[r][0]-t)/(e[r][0]-e[r-1][0]);return e[r][1]*(1-n)+n*e[r-1][1]}}return 1}(n/255,e):t[3];return i<1&&(r=!0),[t[0],t[1],t[2],255*i]}))]);return u.divseq(n,255),this.hasAlphaScale=r,n},L.isTransparent=function(){return this.opacity<1||this.hasAlphaScale},L.isOpaque=function(){return!this.isTransparent()},L.pickSlots=1,L.setPickBase=function(t){this.pickId=t};var C=[0,0,0],P={showSurface:!1,showContour:!1,projections:[T.slice(),T.slice(),T.slice()],clipBounds:[[[0,0,0],[0,0,0]],[[0,0,0],[0,0,0]],[[0,0,0],[0,0,0]]]};function O(t,e){var r,n,i,a=e.axes&&e.axes.lastCubeProps.axis||C,o=e.showSurface,s=e.showContour;for(r=0;r<3;++r)for(o=o||e.surfaceProject[r],n=0;n<3;++n)s=s||e.contourProject[r][n];for(r=0;r<3;++r){var l=P.projections[r];for(n=0;n<16;++n)l[n]=0;for(n=0;n<4;++n)l[5*n]=1;l[5*r]=0,l[12+r]=e.axesBounds[+(a[r]>0)][r],p(l,t.model,l);var u=P.clipBounds[r];for(i=0;i<2;++i)for(n=0;n<3;++n)u[i][n]=t.clipBounds[i][n];u[0][r]=-1e8,u[1][r]=1e8}return P.showSurface=o,P.showContour=s,P}var I={model:T,view:T,projection:T,inverseModel:T.slice(),lowerBound:[0,0,0],upperBound:[0,0,0],colorMap:0,clipBounds:[[0,0,0],[0,0,0]],height:0,contourTint:0,contourColor:[0,0,0,1],permutation:[1,0,0,0,1,0,0,0,1],zOffset:-1e-4,objectOffset:[0,0,0],kambient:1,kdiffuse:1,kspecular:1,lightPosition:[1e3,1e3,1e3],eyePosition:[0,0,0],roughness:1,fresnel:1,opacity:1,vertexColor:0},D=T.slice(),z=[1,0,0,0,1,0,0,0,1];function R(t,e){t=t||{};var r=this.gl;r.disable(r.CULL_FACE),this._colorMap.bind(0);var n=I;n.model=t.model||T,n.view=t.view||T,n.projection=t.projection||T,n.lowerBound=[this.bounds[0][0],this.bounds[0][1],this.colorBounds[0]||this.bounds[0][2]],n.upperBound=[this.bounds[1][0],this.bounds[1][1],this.colorBounds[1]||this.bounds[1][2]],n.objectOffset=this.objectOffset,n.contourColor=this.contourColor[0],n.inverseModel=d(n.inverseModel,n.model);for(var i=0;i<2;++i)for(var a=n.clipBounds[i],o=0;o<3;++o)a[o]=Math.min(Math.max(this.clipBounds[i][o],-1e8),1e8);n.kambient=this.ambientLight,n.kdiffuse=this.diffuseLight,n.kspecular=this.specularLight,n.roughness=this.roughness,n.fresnel=this.fresnel,n.opacity=this.opacity,n.height=0,n.permutation=z,n.vertexColor=this.vertexColor;var s=D;for(p(s,n.view,n.model),p(s,n.projection,s),d(s,s),i=0;i<3;++i)n.eyePosition[i]=s[12+i]/s[15];var l=s[15];for(i=0;i<3;++i)l+=this.lightPosition[i]*s[4*i+3];for(i=0;i<3;++i){var u=s[12+i];for(o=0;o<3;++o)u+=s[4*o+i]*this.lightPosition[o];n.lightPosition[i]=u/l}var c=O(n,this);if(c.showSurface){for(this._shader.bind(),this._shader.uniforms=n,this._vao.bind(),this.showSurface&&this._vertexCount&&this._vao.draw(r.TRIANGLES,this._vertexCount),i=0;i<3;++i)this.surfaceProject[i]&&this.vertexCount&&(this._shader.uniforms.model=c.projections[i],this._shader.uniforms.clipBounds=c.clipBounds[i],this._vao.draw(r.TRIANGLES,this._vertexCount));this._vao.unbind()}if(c.showContour){var f=this._contourShader;n.kambient=1,n.kdiffuse=0,n.kspecular=0,n.opacity=1,f.bind(),f.uniforms=n;var h=this._contourVAO;for(h.bind(),i=0;i<3;++i)for(f.uniforms.permutation=A[i],r.lineWidth(this.contourWidth[i]*this.pixelRatio),o=0;o>4)/16)/255,i=Math.floor(n),a=n-i,o=e[1]*(t.value[1]+(15&t.value[2])/16)/255,s=Math.floor(o),l=o-s;i+=1,s+=1;var u=r.position;u[0]=u[1]=u[2]=0;for(var c=0;c<2;++c)for(var f=c?a:1-a,h=0;h<2;++h)for(var p=i+c,d=s+h,g=f*(h?l:1-l),y=0;y<3;++y)u[y]+=this._field[y].get(p,d)*g;for(var m=this._pickResult.level,x=0;x<3;++x)if(m[x]=v.le(this.contourLevels[x],u[x]),m[x]<0)this.contourLevels[x].length>0&&(m[x]=0);else if(m[x]Math.abs(_-u[x])&&(m[x]+=1)}for(r.index[0]=a<.5?i:i+1,r.index[1]=l<.5?s:s+1,r.uv[0]=n/e[0],r.uv[1]=o/e[1],y=0;y<3;++y)r.dataCoordinate[y]=this._field[y].get(r.index[0],r.index[1]);return r},L.padField=function(t,e){var r=e.shape.slice(),n=t.shape.slice();u.assign(t.lo(1,1).hi(r[0],r[1]),e),u.assign(t.lo(1).hi(r[0],1),e.hi(r[0],1)),u.assign(t.lo(1,n[1]-1).hi(r[0],1),e.lo(0,r[1]-1).hi(r[0],1)),u.assign(t.lo(0,1).hi(1,r[1]),e.hi(1)),u.assign(t.lo(n[0]-1,1).hi(1,r[1]),e.lo(r[0]-1)),t.set(0,0,e.get(0,0)),t.set(0,n[1]-1,e.get(0,r[1]-1)),t.set(n[0]-1,0,e.get(r[0]-1,0)),t.set(n[0]-1,n[1]-1,e.get(r[0]-1,r[1]-1))},L.update=function(t){t=t||{},this.objectOffset=t.objectOffset||this.objectOffset,this.dirty=!0,"contourWidth"in t&&(this.contourWidth=B(t.contourWidth,Number)),"showContour"in t&&(this.showContour=B(t.showContour,Boolean)),"showSurface"in t&&(this.showSurface=!!t.showSurface),"contourTint"in t&&(this.contourTint=B(t.contourTint,Boolean)),"contourColor"in t&&(this.contourColor=j(t.contourColor)),"contourProject"in t&&(this.contourProject=B(t.contourProject,(function(t){return B(t,Boolean)}))),"surfaceProject"in t&&(this.surfaceProject=t.surfaceProject),"dynamicColor"in t&&(this.dynamicColor=j(t.dynamicColor)),"dynamicTint"in t&&(this.dynamicTint=B(t.dynamicTint,Number)),"dynamicWidth"in t&&(this.dynamicWidth=B(t.dynamicWidth,Number)),"opacity"in t&&(this.opacity=t.opacity),"opacityscale"in t&&(this.opacityscale=t.opacityscale),"colorBounds"in t&&(this.colorBounds=t.colorBounds),"vertexColor"in t&&(this.vertexColor=t.vertexColor?1:0),"colormap"in t&&this._colorMap.setPixels(this.genColormap(t.colormap,this.opacityscale));var e=t.field||t.coords&&t.coords[2]||null,r=!1;if(e||(e=this._field[2].shape[0]||this._field[2].shape[2]?this._field[2].lo(1,1).hi(this._field[2].shape[0]-2,this._field[2].shape[1]-2):this._field[2].hi(0,0)),"field"in t||"coords"in t){var i=(e.shape[0]+2)*(e.shape[1]+2);i>this._field[2].data.length&&(s.freeFloat(this._field[2].data),this._field[2].data=s.mallocFloat(n.nextPow2(i))),this._field[2]=f(this._field[2].data,[e.shape[0]+2,e.shape[1]+2]),this.padField(this._field[2],e),this.shape=e.shape.slice();for(var a=this.shape,o=0;o<2;++o)this._field[2].size>this._field[o].data.length&&(s.freeFloat(this._field[o].data),this._field[o].data=s.mallocFloat(this._field[2].size)),this._field[o]=f(this._field[o].data,[a[0]+2,a[1]+2]);if(t.coords){var l=t.coords;if(!Array.isArray(l)||3!==l.length)throw new Error("gl-surface: invalid coordinates for x/y");for(o=0;o<2;++o){var u=l[o];for(y=0;y<2;++y)if(u.shape[y]!==a[y])throw new Error("gl-surface: coords have incorrect shape");this.padField(this._field[o],u)}}else if(t.ticks){var c=t.ticks;if(!Array.isArray(c)||2!==c.length)throw new Error("gl-surface: invalid ticks");for(o=0;o<2;++o){var p=c[o];if((Array.isArray(p)||p.length)&&(p=f(p)),p.shape[0]!==a[o])throw new Error("gl-surface: invalid tick length");var d=f(p.data,a);d.stride[o]=p.stride[0],d.stride[1^o]=0,this.padField(this._field[o],d)}}else{for(o=0;o<2;++o){var v=[0,0];v[o]=1,this._field[o]=f(this._field[o].data,[a[0]+2,a[1]+2],v,0)}this._field[0].set(0,0,0);for(var y=0;y0){for(var xt=0;xt<5;++xt)$.pop();U-=1}continue t}$.push(nt[0],nt[1],ot[0],ot[1],nt[2]),U+=1}}rt.push(U)}this._contourOffsets[Q]=et,this._contourCounts[Q]=rt}var bt=s.mallocFloat($.length);for(o=0;o<$.length;++o)bt[o]=$[o];this._contourBuffer.update(bt),s.freeFloat(bt)}},L.dispose=function(){this._shader.dispose(),this._vao.dispose(),this._coordinateBuffer.dispose(),this._colorMap.dispose(),this._contourBuffer.dispose(),this._contourVAO.dispose(),this._contourShader.dispose(),this._contourPickShader.dispose(),this._dynamicBuffer.dispose(),this._dynamicVAO.dispose();for(var t=0;t<3;++t)s.freeFloat(this._field[t].data)},L.highlight=function(t){var e,r;if(!t)return this._dynamicCounts=[0,0,0],this.dyanamicLevel=[NaN,NaN,NaN],void(this.highlightLevel=[-1,-1,-1]);for(e=0;e<3;++e)this.enableHighlight[e]?this.highlightLevel[e]=t.level[e]:this.highlightLevel[e]=-1;for(r=this.snapToData?t.dataCoordinate:t.position,e=0;e<3;++e)r[e]-=this.objectOffset[e];if(this.enableDynamic[0]&&r[0]!==this.dynamicLevel[0]||this.enableDynamic[1]&&r[1]!==this.dynamicLevel[1]||this.enableDynamic[2]&&r[2]!==this.dynamicLevel[2]){for(var n=0,i=this.shape,a=s.mallocFloat(12*i[0]*i[1]),o=0;o<3;++o)if(this.enableDynamic[o]){this.dynamicLevel[o]=r[o];var l=(o+1)%3,u=(o+2)%3,c=this._field[o],f=this._field[l],p=this._field[u],d=h(c,r[o]),v=d.cells,g=d.positions;for(this._dynamicOffsets[o]=n,e=0;es||o[1]<0||o[1]>s)throw new Error("gl-texture2d: Invalid texture size");var l=d(o,e.stride.slice()),u=0;"float32"===r?u=t.FLOAT:"float64"===r?(u=t.FLOAT,l=!1,r="float32"):"uint8"===r?u=t.UNSIGNED_BYTE:(u=t.UNSIGNED_BYTE,l=!1,r="uint8");var f,p,g=0;if(2===o.length)g=t.LUMINANCE,o=[o[0],o[1],1],e=n(e.data,o,[e.stride[0],e.stride[1],1],e.offset);else{if(3!==o.length)throw new Error("gl-texture2d: Invalid shape for texture");if(1===o[2])g=t.ALPHA;else if(2===o[2])g=t.LUMINANCE_ALPHA;else if(3===o[2])g=t.RGB;else{if(4!==o[2])throw new Error("gl-texture2d: Invalid shape for pixel coords");g=t.RGBA}}u!==t.FLOAT||t.getExtension("OES_texture_float")||(u=t.UNSIGNED_BYTE,l=!1);var y=e.size;if(l)f=0===e.offset&&e.data.length===y?e.data:e.data.subarray(e.offset,e.offset+y);else{var m=[o[2],o[2]*o[0],1];p=a.malloc(y,r);var x=n(p,o,m,0);"float32"!==r&&"float64"!==r||u!==t.UNSIGNED_BYTE?i.assign(x,e):c(x,e),f=p.subarray(0,y)}var b=v(t);return t.texImage2D(t.TEXTURE_2D,0,g,o[0],o[1],0,g,u,f),l||a.free(p),new h(t,b,o[0],o[1],g,u)}(t,e)}throw new Error("gl-texture2d: Invalid arguments for texture2d constructor")};var o=null,s=null,l=null;function u(t){return"undefined"!=typeof HTMLCanvasElement&&t instanceof HTMLCanvasElement||"undefined"!=typeof HTMLImageElement&&t instanceof HTMLImageElement||"undefined"!=typeof HTMLVideoElement&&t instanceof HTMLVideoElement||"undefined"!=typeof ImageData&&t instanceof ImageData}var c=function(t,e){i.muls(t,e,255)};function f(t,e,r){var n=t.gl,i=n.getParameter(n.MAX_TEXTURE_SIZE);if(e<0||e>i||r<0||r>i)throw new Error("gl-texture2d: Invalid texture size");return t._shape=[e,r],t.bind(),n.texImage2D(n.TEXTURE_2D,0,t.format,e,r,0,t.format,t.type,null),t._mipLevels=[0],t}function h(t,e,r,n,i,a){this.gl=t,this.handle=e,this.format=i,this.type=a,this._shape=[r,n],this._mipLevels=[0],this._magFilter=t.NEAREST,this._minFilter=t.NEAREST,this._wrapS=t.CLAMP_TO_EDGE,this._wrapT=t.CLAMP_TO_EDGE,this._anisoSamples=1;var o=this,s=[this._wrapS,this._wrapT];Object.defineProperties(s,[{get:function(){return o._wrapS},set:function(t){return o.wrapS=t}},{get:function(){return o._wrapT},set:function(t){return o.wrapT=t}}]),this._wrapVector=s;var l=[this._shape[0],this._shape[1]];Object.defineProperties(l,[{get:function(){return o._shape[0]},set:function(t){return o.width=t}},{get:function(){return o._shape[1]},set:function(t){return o.height=t}}]),this._shapeVector=l}var p=h.prototype;function d(t,e){return 3===t.length?1===e[2]&&e[1]===t[0]*t[2]&&e[0]===t[2]:1===e[0]&&e[1]===t[0]}function v(t){var e=t.createTexture();return t.bindTexture(t.TEXTURE_2D,e),t.texParameteri(t.TEXTURE_2D,t.TEXTURE_MIN_FILTER,t.NEAREST),t.texParameteri(t.TEXTURE_2D,t.TEXTURE_MAG_FILTER,t.NEAREST),t.texParameteri(t.TEXTURE_2D,t.TEXTURE_WRAP_S,t.CLAMP_TO_EDGE),t.texParameteri(t.TEXTURE_2D,t.TEXTURE_WRAP_T,t.CLAMP_TO_EDGE),e}function g(t,e,r,n,i){var a=t.getParameter(t.MAX_TEXTURE_SIZE);if(e<0||e>a||r<0||r>a)throw new Error("gl-texture2d: Invalid texture shape");if(i===t.FLOAT&&!t.getExtension("OES_texture_float"))throw new Error("gl-texture2d: Floating point textures not supported on this platform");var o=v(t);return t.texImage2D(t.TEXTURE_2D,0,n,e,r,0,n,i,null),new h(t,o,e,r,n,i)}Object.defineProperties(p,{minFilter:{get:function(){return this._minFilter},set:function(t){this.bind();var e=this.gl;if(this.type===e.FLOAT&&o.indexOf(t)>=0&&(e.getExtension("OES_texture_float_linear")||(t=e.NEAREST)),s.indexOf(t)<0)throw new Error("gl-texture2d: Unknown filter mode "+t);return e.texParameteri(e.TEXTURE_2D,e.TEXTURE_MIN_FILTER,t),this._minFilter=t}},magFilter:{get:function(){return this._magFilter},set:function(t){this.bind();var e=this.gl;if(this.type===e.FLOAT&&o.indexOf(t)>=0&&(e.getExtension("OES_texture_float_linear")||(t=e.NEAREST)),s.indexOf(t)<0)throw new Error("gl-texture2d: Unknown filter mode "+t);return e.texParameteri(e.TEXTURE_2D,e.TEXTURE_MAG_FILTER,t),this._magFilter=t}},mipSamples:{get:function(){return this._anisoSamples},set:function(t){var e=this._anisoSamples;if(this._anisoSamples=0|Math.max(t,1),e!==this._anisoSamples){var r=this.gl.getExtension("EXT_texture_filter_anisotropic");r&&this.gl.texParameterf(this.gl.TEXTURE_2D,r.TEXTURE_MAX_ANISOTROPY_EXT,this._anisoSamples)}return this._anisoSamples}},wrapS:{get:function(){return this._wrapS},set:function(t){if(this.bind(),l.indexOf(t)<0)throw new Error("gl-texture2d: Unknown wrap mode "+t);return this.gl.texParameteri(this.gl.TEXTURE_2D,this.gl.TEXTURE_WRAP_S,t),this._wrapS=t}},wrapT:{get:function(){return this._wrapT},set:function(t){if(this.bind(),l.indexOf(t)<0)throw new Error("gl-texture2d: Unknown wrap mode "+t);return this.gl.texParameteri(this.gl.TEXTURE_2D,this.gl.TEXTURE_WRAP_T,t),this._wrapT=t}},wrap:{get:function(){return this._wrapVector},set:function(t){if(Array.isArray(t)||(t=[t,t]),2!==t.length)throw new Error("gl-texture2d: Must specify wrap mode for rows and columns");for(var e=0;e<2;++e)if(l.indexOf(t[e])<0)throw new Error("gl-texture2d: Unknown wrap mode "+t);this._wrapS=t[0],this._wrapT=t[1];var r=this.gl;return this.bind(),r.texParameteri(r.TEXTURE_2D,r.TEXTURE_WRAP_S,this._wrapS),r.texParameteri(r.TEXTURE_2D,r.TEXTURE_WRAP_T,this._wrapT),t}},shape:{get:function(){return this._shapeVector},set:function(t){if(Array.isArray(t)){if(2!==t.length)throw new Error("gl-texture2d: Invalid texture shape")}else t=[0|t,0|t];return f(this,0|t[0],0|t[1]),[0|t[0],0|t[1]]}},width:{get:function(){return this._shape[0]},set:function(t){return f(this,t|=0,this._shape[1]),t}},height:{get:function(){return this._shape[1]},set:function(t){return t|=0,f(this,this._shape[0],t),t}}}),p.bind=function(t){var e=this.gl;return void 0!==t&&e.activeTexture(e.TEXTURE0+(0|t)),e.bindTexture(e.TEXTURE_2D,this.handle),void 0!==t?0|t:e.getParameter(e.ACTIVE_TEXTURE)-e.TEXTURE0},p.dispose=function(){this.gl.deleteTexture(this.handle)},p.generateMipmap=function(){this.bind(),this.gl.generateMipmap(this.gl.TEXTURE_2D);for(var t=Math.min(this._shape[0],this._shape[1]),e=0;t>0;++e,t>>>=1)this._mipLevels.indexOf(e)<0&&this._mipLevels.push(e)},p.setPixels=function(t,e,r,o){var s=this.gl;this.bind(),Array.isArray(e)?(o=r,r=0|e[1],e=0|e[0]):(e=e||0,r=r||0),o=o||0;var l=u(t)?t:t.raw;if(l)this._mipLevels.indexOf(o)<0?(s.texImage2D(s.TEXTURE_2D,0,this.format,this.format,this.type,l),this._mipLevels.push(o)):s.texSubImage2D(s.TEXTURE_2D,o,e,r,this.format,this.type,l);else{if(!(t.shape&&t.stride&&t.data))throw new Error("gl-texture2d: Unsupported data type");if(t.shape.length<2||e+t.shape[1]>this._shape[1]>>>o||r+t.shape[0]>this._shape[0]>>>o||e<0||r<0)throw new Error("gl-texture2d: Texture dimensions are out of bounds");!function(t,e,r,o,s,l,u,f){var h=f.dtype,p=f.shape.slice();if(p.length<2||p.length>3)throw new Error("gl-texture2d: Invalid ndarray, must be 2d or 3d");var v=0,g=0,y=d(p,f.stride.slice());if("float32"===h?v=t.FLOAT:"float64"===h?(v=t.FLOAT,y=!1,h="float32"):"uint8"===h?v=t.UNSIGNED_BYTE:(v=t.UNSIGNED_BYTE,y=!1,h="uint8"),2===p.length)g=t.LUMINANCE,p=[p[0],p[1],1],f=n(f.data,p,[f.stride[0],f.stride[1],1],f.offset);else{if(3!==p.length)throw new Error("gl-texture2d: Invalid shape for texture");if(1===p[2])g=t.ALPHA;else if(2===p[2])g=t.LUMINANCE_ALPHA;else if(3===p[2])g=t.RGB;else{if(4!==p[2])throw new Error("gl-texture2d: Invalid shape for pixel coords");g=t.RGBA}p[2]}if(g!==t.LUMINANCE&&g!==t.ALPHA||s!==t.LUMINANCE&&s!==t.ALPHA||(g=s),g!==s)throw new Error("gl-texture2d: Incompatible texture format for setPixels");var m=f.size,x=u.indexOf(o)<0;if(x&&u.push(o),v===l&&y)0===f.offset&&f.data.length===m?x?t.texImage2D(t.TEXTURE_2D,o,s,p[0],p[1],0,s,l,f.data):t.texSubImage2D(t.TEXTURE_2D,o,e,r,p[0],p[1],s,l,f.data):x?t.texImage2D(t.TEXTURE_2D,o,s,p[0],p[1],0,s,l,f.data.subarray(f.offset,f.offset+m)):t.texSubImage2D(t.TEXTURE_2D,o,e,r,p[0],p[1],s,l,f.data.subarray(f.offset,f.offset+m));else{var b;b=l===t.FLOAT?a.mallocFloat32(m):a.mallocUint8(m);var _=n(b,p,[p[2],p[2]*p[0],1]);v===t.FLOAT&&l===t.UNSIGNED_BYTE?c(_,f):i.assign(_,f),x?t.texImage2D(t.TEXTURE_2D,o,s,p[0],p[1],0,s,l,b.subarray(0,m)):t.texSubImage2D(t.TEXTURE_2D,o,e,r,p[0],p[1],s,l,b.subarray(0,m)),l===t.FLOAT?a.freeFloat32(b):a.freeUint8(b)}}(s,e,r,o,this.format,this.type,this._mipLevels,t)}}},3056:function(t){"use strict";t.exports=function(t,e,r){e?e.bind():t.bindBuffer(t.ELEMENT_ARRAY_BUFFER,null);var n=0|t.getParameter(t.MAX_VERTEX_ATTRIBS);if(r){if(r.length>n)throw new Error("gl-vao: Too many vertex attributes");for(var i=0;i1?0:Math.acos(s)};var n=r(5415),i=r(899),a=r(9305)},8827:function(t){t.exports=function(t,e){return t[0]=Math.ceil(e[0]),t[1]=Math.ceil(e[1]),t[2]=Math.ceil(e[2]),t}},7622:function(t){t.exports=function(t){var e=new Float32Array(3);return e[0]=t[0],e[1]=t[1],e[2]=t[2],e}},8782:function(t){t.exports=function(t,e){return t[0]=e[0],t[1]=e[1],t[2]=e[2],t}},8501:function(t){t.exports=function(){var t=new Float32Array(3);return 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this.uint16[f+0]=e,this.uint16[f+1]=r,this.uint16[f+2]=n,this.uint16[f+3]=i,this.uint16[f+4]=a,this.uint16[f+5]=o,this.uint16[f+6]=s,this.uint16[f+7]=l,this.uint16[f+8]=u,this.uint16[f+9]=c,t},e}(Qi);sa.prototype.bytesPerElement=20,oi("StructArrayLayout10ui20",sa);var la=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.int16=new Int16Array(this.arrayBuffer),this.uint16=new Uint16Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r,n,i,a,o,s,l,u,c,f){var h=this.length;return this.resize(h+1),this.emplace(h,t,e,r,n,i,a,o,s,l,u,c,f)},e.prototype.emplace=function(t,e,r,n,i,a,o,s,l,u,c,f,h){var p=12*t;return this.int16[p+0]=e,this.int16[p+1]=r,this.int16[p+2]=n,this.int16[p+3]=i,this.uint16[p+4]=a,this.uint16[p+5]=o,this.uint16[p+6]=s,this.uint16[p+7]=l,this.int16[p+8]=u,this.int16[p+9]=c,this.int16[p+10]=f,this.int16[p+11]=h,t},e}(Qi);la.prototype.bytesPerElement=24,oi("StructArrayLayout4i4ui4i24",la);var ua=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.float32=new Float32Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r){var n=this.length;return this.resize(n+1),this.emplace(n,t,e,r)},e.prototype.emplace=function(t,e,r,n){var i=3*t;return this.float32[i+0]=e,this.float32[i+1]=r,this.float32[i+2]=n,t},e}(Qi);ua.prototype.bytesPerElement=12,oi("StructArrayLayout3f12",ua);var ca=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.uint32=new Uint32Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t){var e=this.length;return this.resize(e+1),this.emplace(e,t)},e.prototype.emplace=function(t,e){var r=1*t;return this.uint32[r+0]=e,t},e}(Qi);ca.prototype.bytesPerElement=4,oi("StructArrayLayout1ul4",ca);var fa=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.int16=new Int16Array(this.arrayBuffer),this.uint32=new Uint32Array(this.arrayBuffer),this.uint16=new Uint16Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r,n,i,a,o,s,l){var u=this.length;return this.resize(u+1),this.emplace(u,t,e,r,n,i,a,o,s,l)},e.prototype.emplace=function(t,e,r,n,i,a,o,s,l,u){var c=10*t,f=5*t;return this.int16[c+0]=e,this.int16[c+1]=r,this.int16[c+2]=n,this.int16[c+3]=i,this.int16[c+4]=a,this.int16[c+5]=o,this.uint32[f+3]=s,this.uint16[c+8]=l,this.uint16[c+9]=u,t},e}(Qi);fa.prototype.bytesPerElement=20,oi("StructArrayLayout6i1ul2ui20",fa);var ha=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.int16=new Int16Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r,n,i,a){var o=this.length;return this.resize(o+1),this.emplace(o,t,e,r,n,i,a)},e.prototype.emplace=function(t,e,r,n,i,a,o){var s=6*t;return this.int16[s+0]=e,this.int16[s+1]=r,this.int16[s+2]=n,this.int16[s+3]=i,this.int16[s+4]=a,this.int16[s+5]=o,t},e}(Qi);ha.prototype.bytesPerElement=12,oi("StructArrayLayout2i2i2i12",ha);var pa=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.float32=new Float32Array(this.arrayBuffer),this.int16=new Int16Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r,n,i){var a=this.length;return this.resize(a+1),this.emplace(a,t,e,r,n,i)},e.prototype.emplace=function(t,e,r,n,i,a){var o=4*t,s=8*t;return this.float32[o+0]=e,this.float32[o+1]=r,this.float32[o+2]=n,this.int16[s+6]=i,this.int16[s+7]=a,t},e}(Qi);pa.prototype.bytesPerElement=16,oi("StructArrayLayout2f1f2i16",pa);var da=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.float32=new Float32Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r,n){var i=this.length;return this.resize(i+1),this.emplace(i,t,e,r,n)},e.prototype.emplace=function(t,e,r,n,i){var a=12*t,o=3*t;return this.uint8[a+0]=e,this.uint8[a+1]=r,this.float32[o+1]=n,this.float32[o+2]=i,t},e}(Qi);da.prototype.bytesPerElement=12,oi("StructArrayLayout2ub2f12",da);var va=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.uint16=new Uint16Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r){var n=this.length;return this.resize(n+1),this.emplace(n,t,e,r)},e.prototype.emplace=function(t,e,r,n){var i=3*t;return this.uint16[i+0]=e,this.uint16[i+1]=r,this.uint16[i+2]=n,t},e}(Qi);va.prototype.bytesPerElement=6,oi("StructArrayLayout3ui6",va);var ga=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.int16=new Int16Array(this.arrayBuffer),this.uint16=new Uint16Array(this.arrayBuffer),this.uint32=new Uint32Array(this.arrayBuffer),this.float32=new Float32Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r,n,i,a,o,s,l,u,c,f,h,p,d,v,g){var y=this.length;return this.resize(y+1),this.emplace(y,t,e,r,n,i,a,o,s,l,u,c,f,h,p,d,v,g)},e.prototype.emplace=function(t,e,r,n,i,a,o,s,l,u,c,f,h,p,d,v,g,y){var m=24*t,x=12*t,b=48*t;return this.int16[m+0]=e,this.int16[m+1]=r,this.uint16[m+2]=n,this.uint16[m+3]=i,this.uint32[x+2]=a,this.uint32[x+3]=o,this.uint32[x+4]=s,this.uint16[m+10]=l,this.uint16[m+11]=u,this.uint16[m+12]=c,this.float32[x+7]=f,this.float32[x+8]=h,this.uint8[b+36]=p,this.uint8[b+37]=d,this.uint8[b+38]=v,this.uint32[x+10]=g,this.int16[m+22]=y,t},e}(Qi);ga.prototype.bytesPerElement=48,oi("StructArrayLayout2i2ui3ul3ui2f3ub1ul1i48",ga);var ya=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.int16=new Int16Array(this.arrayBuffer),this.uint16=new Uint16Array(this.arrayBuffer),this.uint32=new Uint32Array(this.arrayBuffer),this.float32=new Float32Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r,n,i,a,o,s,l,u,c,f,h,p,d,v,g,y,m,x,b,_,w,T,k,A,M,S){var E=this.length;return this.resize(E+1),this.emplace(E,t,e,r,n,i,a,o,s,l,u,c,f,h,p,d,v,g,y,m,x,b,_,w,T,k,A,M,S)},e.prototype.emplace=function(t,e,r,n,i,a,o,s,l,u,c,f,h,p,d,v,g,y,m,x,b,_,w,T,k,A,M,S,E){var L=34*t,C=17*t;return this.int16[L+0]=e,this.int16[L+1]=r,this.int16[L+2]=n,this.int16[L+3]=i,this.int16[L+4]=a,this.int16[L+5]=o,this.int16[L+6]=s,this.int16[L+7]=l,this.uint16[L+8]=u,this.uint16[L+9]=c,this.uint16[L+10]=f,this.uint16[L+11]=h,this.uint16[L+12]=p,this.uint16[L+13]=d,this.uint16[L+14]=v,this.uint16[L+15]=g,this.uint16[L+16]=y,this.uint16[L+17]=m,this.uint16[L+18]=x,this.uint16[L+19]=b,this.uint16[L+20]=_,this.uint16[L+21]=w,this.uint16[L+22]=T,this.uint32[C+12]=k,this.float32[C+13]=A,this.float32[C+14]=M,this.float32[C+15]=S,this.float32[C+16]=E,t},e}(Qi);ya.prototype.bytesPerElement=68,oi("StructArrayLayout8i15ui1ul4f68",ya);var ma=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.float32=new Float32Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t){var e=this.length;return this.resize(e+1),this.emplace(e,t)},e.prototype.emplace=function(t,e){var r=1*t;return this.float32[r+0]=e,t},e}(Qi);ma.prototype.bytesPerElement=4,oi("StructArrayLayout1f4",ma);var xa=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.int16=new Int16Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r){var n=this.length;return this.resize(n+1),this.emplace(n,t,e,r)},e.prototype.emplace=function(t,e,r,n){var i=3*t;return this.int16[i+0]=e,this.int16[i+1]=r,this.int16[i+2]=n,t},e}(Qi);xa.prototype.bytesPerElement=6,oi("StructArrayLayout3i6",xa);var ba=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.uint32=new Uint32Array(this.arrayBuffer),this.uint16=new Uint16Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r){var n=this.length;return this.resize(n+1),this.emplace(n,t,e,r)},e.prototype.emplace=function(t,e,r,n){var i=2*t,a=4*t;return this.uint32[i+0]=e,this.uint16[a+2]=r,this.uint16[a+3]=n,t},e}(Qi);ba.prototype.bytesPerElement=8,oi("StructArrayLayout1ul2ui8",ba);var _a=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.uint16=new Uint16Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e){var r=this.length;return this.resize(r+1),this.emplace(r,t,e)},e.prototype.emplace=function(t,e,r){var n=2*t;return this.uint16[n+0]=e,this.uint16[n+1]=r,t},e}(Qi);_a.prototype.bytesPerElement=4,oi("StructArrayLayout2ui4",_a);var wa=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.uint16=new Uint16Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t){var e=this.length;return this.resize(e+1),this.emplace(e,t)},e.prototype.emplace=function(t,e){var r=1*t;return this.uint16[r+0]=e,t},e}(Qi);wa.prototype.bytesPerElement=2,oi("StructArrayLayout1ui2",wa);var Ta=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.float32=new Float32Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r,n){var i=this.length;return this.resize(i+1),this.emplace(i,t,e,r,n)},e.prototype.emplace=function(t,e,r,n,i){var a=4*t;return this.float32[a+0]=e,this.float32[a+1]=r,this.float32[a+2]=n,this.float32[a+3]=i,t},e}(Qi);Ta.prototype.bytesPerElement=16,oi("StructArrayLayout4f16",Ta);var ka=function(t){function e(){t.apply(this,arguments)}t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e;var r={anchorPointX:{configurable:!0},anchorPointY:{configurable:!0},x1:{configurable:!0},y1:{configurable:!0},x2:{configurable:!0},y2:{configurable:!0},featureIndex:{configurable:!0},sourceLayerIndex:{configurable:!0},bucketIndex:{configurable:!0},anchorPoint:{configurable:!0}};return r.anchorPointX.get=function(){return this._structArray.int16[this._pos2+0]},r.anchorPointY.get=function(){return this._structArray.int16[this._pos2+1]},r.x1.get=function(){return this._structArray.int16[this._pos2+2]},r.y1.get=function(){return this._structArray.int16[this._pos2+3]},r.x2.get=function(){return this._structArray.int16[this._pos2+4]},r.y2.get=function(){return this._structArray.int16[this._pos2+5]},r.featureIndex.get=function(){return this._structArray.uint32[this._pos4+3]},r.sourceLayerIndex.get=function(){return this._structArray.uint16[this._pos2+8]},r.bucketIndex.get=function(){return this._structArray.uint16[this._pos2+9]},r.anchorPoint.get=function(){return new a(this.anchorPointX,this.anchorPointY)},Object.defineProperties(e.prototype,r),e}($i);ka.prototype.size=20;var Aa=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.get=function(t){return new ka(this,t)},e}(fa);oi("CollisionBoxArray",Aa);var Ma=function(t){function e(){t.apply(this,arguments)}t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e;var r={anchorX:{configurable:!0},anchorY:{configurable:!0},glyphStartIndex:{configurable:!0},numGlyphs:{configurable:!0},vertexStartIndex:{configurable:!0},lineStartIndex:{configurable:!0},lineLength:{configurable:!0},segment:{configurable:!0},lowerSize:{configurable:!0},upperSize:{configurable:!0},lineOffsetX:{configurable:!0},lineOffsetY:{configurable:!0},writingMode:{configurable:!0},placedOrientation:{configurable:!0},hidden:{configurable:!0},crossTileID:{configurable:!0},associatedIconIndex:{configurable:!0}};return r.anchorX.get=function(){return this._structArray.int16[this._pos2+0]},r.anchorY.get=function(){return this._structArray.int16[this._pos2+1]},r.glyphStartIndex.get=function(){return this._structArray.uint16[this._pos2+2]},r.numGlyphs.get=function(){return this._structArray.uint16[this._pos2+3]},r.vertexStartIndex.get=function(){return this._structArray.uint32[this._pos4+2]},r.lineStartIndex.get=function(){return this._structArray.uint32[this._pos4+3]},r.lineLength.get=function(){return this._structArray.uint32[this._pos4+4]},r.segment.get=function(){return this._structArray.uint16[this._pos2+10]},r.lowerSize.get=function(){return this._structArray.uint16[this._pos2+11]},r.upperSize.get=function(){return this._structArray.uint16[this._pos2+12]},r.lineOffsetX.get=function(){return this._structArray.float32[this._pos4+7]},r.lineOffsetY.get=function(){return this._structArray.float32[this._pos4+8]},r.writingMode.get=function(){return this._structArray.uint8[this._pos1+36]},r.placedOrientation.get=function(){return this._structArray.uint8[this._pos1+37]},r.placedOrientation.set=function(t){this._structArray.uint8[this._pos1+37]=t},r.hidden.get=function(){return this._structArray.uint8[this._pos1+38]},r.hidden.set=function(t){this._structArray.uint8[this._pos1+38]=t},r.crossTileID.get=function(){return this._structArray.uint32[this._pos4+10]},r.crossTileID.set=function(t){this._structArray.uint32[this._pos4+10]=t},r.associatedIconIndex.get=function(){return this._structArray.int16[this._pos2+22]},Object.defineProperties(e.prototype,r),e}($i);Ma.prototype.size=48;var Sa=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.get=function(t){return new Ma(this,t)},e}(ga);oi("PlacedSymbolArray",Sa);var Ea=function(t){function e(){t.apply(this,arguments)}t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e;var r={anchorX:{configurable:!0},anchorY:{configurable:!0},rightJustifiedTextSymbolIndex:{configurable:!0},centerJustifiedTextSymbolIndex:{configurable:!0},leftJustifiedTextSymbolIndex:{configurable:!0},verticalPlacedTextSymbolIndex:{configurable:!0},placedIconSymbolIndex:{configurable:!0},verticalPlacedIconSymbolIndex:{configurable:!0},key:{configurable:!0},textBoxStartIndex:{configurable:!0},textBoxEndIndex:{configurable:!0},verticalTextBoxStartIndex:{configurable:!0},verticalTextBoxEndIndex:{configurable:!0},iconBoxStartIndex:{configurable:!0},iconBoxEndIndex:{configurable:!0},verticalIconBoxStartIndex:{configurable:!0},verticalIconBoxEndIndex:{configurable:!0},featureIndex:{configurable:!0},numHorizontalGlyphVertices:{configurable:!0},numVerticalGlyphVertices:{configurable:!0},numIconVertices:{configurable:!0},numVerticalIconVertices:{configurable:!0},useRuntimeCollisionCircles:{configurable:!0},crossTileID:{configurable:!0},textBoxScale:{configurable:!0},textOffset0:{configurable:!0},textOffset1:{configurable:!0},collisionCircleDiameter:{configurable:!0}};return 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L=Uu(h,y,v),C=Uu(p,m,g),P=0;P0&&(d=Math.max(10,d),this.circleDiameter=d)}else{var v=o.top*s-l,g=o.bottom*s+l,y=o.left*s-l,m=o.right*s+l,x=o.collisionPadding;if(x&&(y-=x[0]*s,v-=x[1]*s,m+=x[2]*s,g+=x[3]*s),c){var b=new a(y,v),_=new a(m,v),w=new a(y,g),T=new a(m,g),k=c*Math.PI/180;b._rotate(k),_._rotate(k),w._rotate(k),T._rotate(k),y=Math.min(b.x,_.x,w.x,T.x),m=Math.max(b.x,_.x,w.x,T.x),v=Math.min(b.y,_.y,w.y,T.y),g=Math.max(b.y,_.y,w.y,T.y)}t.emplaceBack(e.x,e.y,y,v,m,g,r,n,i)}this.boxEndIndex=t.length},Gu=function(t,e){if(void 0===t&&(t=[]),void 0===e&&(e=Wu),this.data=t,this.length=this.data.length,this.compare=e,this.length>0)for(var r=(this.length>>1)-1;r>=0;r--)this._down(r)};function Wu(t,e){return te?1:0}function Yu(t,e,r){void 0===e&&(e=1),void 0===r&&(r=!1);for(var n=1/0,i=1/0,o=-1/0,s=-1/0,l=t[0],u=0;uo)&&(o=c.x),(!u||c.y>s)&&(s=c.y)}var f=o-n,h=s-i,p=Math.min(f,h),d=p/2,v=new Gu([],Xu);if(0===p)return new a(n,i);for(var g=n;gm.d||!m.d)&&(m=b,r&&console.log("found best %d 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i=t-1>>1,a=e[i];if(r(n,a)>=0)break;e[t]=a,t=i}e[t]=n},Gu.prototype._down=function(t){for(var e=this.data,r=this.compare,n=this.length>>1,i=e[t];t=0)break;e[t]=o,t=a}e[t]=i};var Ku=7,Ju=Number.POSITIVE_INFINITY;function $u(t,e){return e[1]!==Ju?function(t,e,r){var n=0,i=0;switch(e=Math.abs(e),r=Math.abs(r),t){case"top-right":case"top-left":case"top":i=r-Ku;break;case"bottom-right":case"bottom-left":case"bottom":i=-r+Ku}switch(t){case"top-right":case"bottom-right":case"right":n=-e;break;case"top-left":case"bottom-left":case"left":n=e}return[n,i]}(t,e[0],e[1]):function(t,e){var r=0,n=0;e<0&&(e=0);var i=e/Math.sqrt(2);switch(t){case"top-right":case"top-left":n=i-Ku;break;case"bottom-right":case"bottom-left":n=-i+Ku;break;case"bottom":n=-e+Ku;break;case"top":n=e-Ku}switch(t){case"top-right":case"bottom-right":r=-i;break;case"top-left":case"bottom-left":r=i;break;case"left":r=e;break;case"right":r=-e}return[r,n]}(t,e[0])}function Qu(t){switch(t){case"right":case"top-right":case"bottom-right":return"right";case"left":case"top-left":case"bottom-left":return"left"}return"center"}var tc=255,ec=tc*Au;function rc(t,e,r,n,i,o,s,l,u,c,f,h,p,d,v){var g=function(t,e,r,n,i,o,s,l){for(var u=n.layout.get("text-rotate").evaluate(o,{})*Math.PI/180,c=[],f=0,h=e.positionedLines;fec&&k(t.layerIds[0]+': Value for "text-size" is >= '+tc+'. 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this.hasDebugData()&&this.iconCollisionBox.segments.get().length>0},hc.prototype.addIndicesForPlacedSymbol=function(t,e){for(var r=t.placedSymbolArray.get(e),n=r.vertexStartIndex+4*r.numGlyphs,i=r.vertexStartIndex;i1||this.icon.segments.get().length>1)){this.symbolInstanceIndexes=this.getSortedSymbolIndexes(t),this.sortedAngle=t,this.text.indexArray.clear(),this.icon.indexArray.clear(),this.featureSortOrder=[];for(var 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qi(Ft.layout_symbol["symbol-z-order"]),"icon-allow-overlap":new qi(Ft.layout_symbol["icon-allow-overlap"]),"icon-ignore-placement":new qi(Ft.layout_symbol["icon-ignore-placement"]),"icon-optional":new qi(Ft.layout_symbol["icon-optional"]),"icon-rotation-alignment":new qi(Ft.layout_symbol["icon-rotation-alignment"]),"icon-size":new Hi(Ft.layout_symbol["icon-size"]),"icon-text-fit":new qi(Ft.layout_symbol["icon-text-fit"]),"icon-text-fit-padding":new qi(Ft.layout_symbol["icon-text-fit-padding"]),"icon-image":new Hi(Ft.layout_symbol["icon-image"]),"icon-rotate":new Hi(Ft.layout_symbol["icon-rotate"]),"icon-padding":new qi(Ft.layout_symbol["icon-padding"]),"icon-keep-upright":new qi(Ft.layout_symbol["icon-keep-upright"]),"icon-offset":new Hi(Ft.layout_symbol["icon-offset"]),"icon-anchor":new Hi(Ft.layout_symbol["icon-anchor"]),"icon-pitch-alignment":new qi(Ft.layout_symbol["icon-pitch-alignment"]),"text-pitch-alignment":new qi(Ft.layout_symbol["text-pitch-alignment"]),"text-rotation-alignment":new qi(Ft.layout_symbol["text-rotation-alignment"]),"text-field":new Hi(Ft.layout_symbol["text-field"]),"text-font":new Hi(Ft.layout_symbol["text-font"]),"text-size":new Hi(Ft.layout_symbol["text-size"]),"text-max-width":new Hi(Ft.layout_symbol["text-max-width"]),"text-line-height":new qi(Ft.layout_symbol["text-line-height"]),"text-letter-spacing":new Hi(Ft.layout_symbol["text-letter-spacing"]),"text-justify":new Hi(Ft.layout_symbol["text-justify"]),"text-radial-offset":new Hi(Ft.layout_symbol["text-radial-offset"]),"text-variable-anchor":new qi(Ft.layout_symbol["text-variable-anchor"]),"text-anchor":new Hi(Ft.layout_symbol["text-anchor"]),"text-max-angle":new qi(Ft.layout_symbol["text-max-angle"]),"text-writing-mode":new qi(Ft.layout_symbol["text-writing-mode"]),"text-rotate":new Hi(Ft.layout_symbol["text-rotate"]),"text-padding":new qi(Ft.layout_symbol["text-padding"]),"text-keep-upright":new qi(Ft.layout_symbol["text-keep-upright"]),"text-transform":new Hi(Ft.layout_symbol["text-transform"]),"text-offset":new Hi(Ft.layout_symbol["text-offset"]),"text-allow-overlap":new qi(Ft.layout_symbol["text-allow-overlap"]),"text-ignore-placement":new qi(Ft.layout_symbol["text-ignore-placement"]),"text-optional":new qi(Ft.layout_symbol["text-optional"])}),dc={paint:new Xi({"icon-opacity":new Hi(Ft.paint_symbol["icon-opacity"]),"icon-color":new Hi(Ft.paint_symbol["icon-color"]),"icon-halo-color":new Hi(Ft.paint_symbol["icon-halo-color"]),"icon-halo-width":new Hi(Ft.paint_symbol["icon-halo-width"]),"icon-halo-blur":new Hi(Ft.paint_symbol["icon-halo-blur"]),"icon-translate":new qi(Ft.paint_symbol["icon-translate"]),"icon-translate-anchor":new qi(Ft.paint_symbol["icon-translate-anchor"]),"text-opacity":new Hi(Ft.paint_symbol["text-opacity"]),"text-color":new Hi(Ft.paint_symbol["text-color"],{runtimeType:Zt,getOverride:function(t){return t.textColor},hasOverride:function(t){return!!t.textColor}}),"text-halo-color":new Hi(Ft.paint_symbol["text-halo-color"]),"text-halo-width":new Hi(Ft.paint_symbol["text-halo-width"]),"text-halo-blur":new Hi(Ft.paint_symbol["text-halo-blur"]),"text-translate":new qi(Ft.paint_symbol["text-translate"]),"text-translate-anchor":new qi(Ft.paint_symbol["text-translate-anchor"])}),layout:pc},vc=function(t){this.type=t.property.overrides?t.property.overrides.runtimeType:Gt,this.defaultValue=t};vc.prototype.evaluate=function(t){if(t.formattedSection){var e=this.defaultValue.property.overrides;if(e&&e.hasOverride(t.formattedSection))return e.getOverride(t.formattedSection)}return t.feature&&t.featureState?this.defaultValue.evaluate(t.feature,t.featureState):this.defaultValue.property.specification.default},vc.prototype.eachChild=function(t){this.defaultValue.isConstant()||t(this.defaultValue.value._styleExpression.expression)},vc.prototype.outputDefined=function(){return!1},vc.prototype.serialize=function(){return null},oi("FormatSectionOverride",vc,{omit:["defaultValue"]});var gc=function(t){function e(e){t.call(this,e,dc)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.recalculate=function(e,r){if(t.prototype.recalculate.call(this,e,r),"auto"===this.layout.get("icon-rotation-alignment")&&("point"!==this.layout.get("symbol-placement")?this.layout._values["icon-rotation-alignment"]="map":this.layout._values["icon-rotation-alignment"]="viewport"),"auto"===this.layout.get("text-rotation-alignment")&&("point"!==this.layout.get("symbol-placement")?this.layout._values["text-rotation-alignment"]="map":this.layout._values["text-rotation-alignment"]="viewport"),"auto"===this.layout.get("text-pitch-alignment")&&(this.layout._values["text-pitch-alignment"]=this.layout.get("text-rotation-alignment")),"auto"===this.layout.get("icon-pitch-alignment")&&(this.layout._values["icon-pitch-alignment"]=this.layout.get("icon-rotation-alignment")),"point"===this.layout.get("symbol-placement")){var n=this.layout.get("text-writing-mode");if(n){for(var i=[],a=0,o=n;a",targetMapId:n,sourceMapId:a.mapId})}}},Cc.prototype.receive=function(t){var e=t.data,r=e.id;if(r&&(!e.targetMapId||this.mapId===e.targetMapId))if(""===e.type){delete this.tasks[r];var n=this.cancelCallbacks[r];delete this.cancelCallbacks[r],n&&n()}else S()||e.mustQueue?(this.tasks[r]=e,this.taskQueue.push(r),this.invoker.trigger()):this.processTask(r,e)},Cc.prototype.process=function(){if(this.taskQueue.length){var t=this.taskQueue.shift(),e=this.tasks[t];delete this.tasks[t],this.taskQueue.length&&this.invoker.trigger(),e&&this.processTask(t,e)}},Cc.prototype.processTask=function(t,e){var r=this;if(""===e.type){var n=this.callbacks[t];delete this.callbacks[t],n&&(e.error?n(fi(e.error)):n(null,fi(e.data)))}else{var i=!1,a=C(this.globalScope)?void 0:[],o=e.hasCallback?function(e,n){i=!0,delete r.cancelCallbacks[t],r.target.postMessage({id:t,type:"",sourceMapId:r.mapId,error:e?ci(e):null,data:ci(n,a)},a)}:function(t){i=!0},s=null,l=fi(e.data);if(this.parent[e.type])s=this.parent[e.type](e.sourceMapId,l,o);else if(this.parent.getWorkerSource){var u=e.type.split(".");s=this.parent.getWorkerSource(e.sourceMapId,u[0],l.source)[u[1]](l,o)}else o(new Error("Could not find function "+e.type));!i&&s&&s.cancel&&(this.cancelCallbacks[t]=s.cancel)}},Cc.prototype.remove=function(){this.invoker.remove(),this.target.removeEventListener("message",this.receive,!1)};var Oc=function(t,e){t&&(e?this.setSouthWest(t).setNorthEast(e):4===t.length?this.setSouthWest([t[0],t[1]]).setNorthEast([t[2],t[3]]):this.setSouthWest(t[0]).setNorthEast(t[1]))};Oc.prototype.setNorthEast=function(t){return this._ne=t instanceof Dc?new Dc(t.lng,t.lat):Dc.convert(t),this},Oc.prototype.setSouthWest=function(t){return this._sw=t instanceof Dc?new Dc(t.lng,t.lat):Dc.convert(t),this},Oc.prototype.extend=function(t){var e,r,n=this._sw,i=this._ne;if(t instanceof Dc)e=t,r=t;else{if(!(t instanceof Oc)){if(Array.isArray(t)){if(4===t.length||t.every(Array.isArray)){var a=t;return this.extend(Oc.convert(a))}var o=t;return this.extend(Dc.convert(o))}return this}if(e=t._sw,r=t._ne,!e||!r)return this}return n||i?(n.lng=Math.min(e.lng,n.lng),n.lat=Math.min(e.lat,n.lat),i.lng=Math.max(r.lng,i.lng),i.lat=Math.max(r.lat,i.lat)):(this._sw=new Dc(e.lng,e.lat),this._ne=new Dc(r.lng,r.lat)),this},Oc.prototype.getCenter=function(){return new Dc((this._sw.lng+this._ne.lng)/2,(this._sw.lat+this._ne.lat)/2)},Oc.prototype.getSouthWest=function(){return this._sw},Oc.prototype.getNorthEast=function(){return this._ne},Oc.prototype.getNorthWest=function(){return new Dc(this.getWest(),this.getNorth())},Oc.prototype.getSouthEast=function(){return new Dc(this.getEast(),this.getSouth())},Oc.prototype.getWest=function(){return this._sw.lng},Oc.prototype.getSouth=function(){return this._sw.lat},Oc.prototype.getEast=function(){return this._ne.lng},Oc.prototype.getNorth=function(){return this._ne.lat},Oc.prototype.toArray=function(){return[this._sw.toArray(),this._ne.toArray()]},Oc.prototype.toString=function(){return"LngLatBounds("+this._sw.toString()+", "+this._ne.toString()+")"},Oc.prototype.isEmpty=function(){return!(this._sw&&this._ne)},Oc.prototype.contains=function(t){var e=Dc.convert(t),r=e.lng,n=e.lat,i=this._sw.lat<=n&&n<=this._ne.lat,a=this._sw.lng<=r&&r<=this._ne.lng;return this._sw.lng>this._ne.lng&&(a=this._sw.lng>=r&&r>=this._ne.lng),i&&a},Oc.convert=function(t){return!t||t instanceof Oc?t:new Oc(t)};var Ic=6371008.8,Dc=function(t,e){if(isNaN(t)||isNaN(e))throw new Error("Invalid LngLat object: ("+t+", "+e+")");if(this.lng=+t,this.lat=+e,this.lat>90||this.lat<-90)throw new Error("Invalid LngLat latitude value: must be between -90 and 90")};Dc.prototype.wrap=function(){return new Dc(h(this.lng,-180,180),this.lat)},Dc.prototype.toArray=function(){return[this.lng,this.lat]},Dc.prototype.toString=function(){return"LngLat("+this.lng+", "+this.lat+")"},Dc.prototype.distanceTo=function(t){var e=Math.PI/180,r=this.lat*e,n=t.lat*e,i=Math.sin(r)*Math.sin(n)+Math.cos(r)*Math.cos(n)*Math.cos((t.lng-this.lng)*e);return Ic*Math.acos(Math.min(i,1))},Dc.prototype.toBounds=function(t){void 0===t&&(t=0);var e=360*t/40075017,r=e/Math.cos(Math.PI/180*this.lat);return new Oc(new Dc(this.lng-r,this.lat-e),new Dc(this.lng+r,this.lat+e))},Dc.convert=function(t){if(t instanceof Dc)return t;if(Array.isArray(t)&&(2===t.length||3===t.length))return new Dc(Number(t[0]),Number(t[1]));if(!Array.isArray(t)&&"object"==typeof t&&null!==t)return new Dc(Number("lng"in t?t.lng:t.lon),Number(t.lat));throw new Error("`LngLatLike` argument must be specified as a LngLat instance, an object {lng: , lat: }, an object {lon: , lat: }, or an array of [, ]")};var zc=2*Math.PI*Ic;function Rc(t){return zc*Math.cos(t*Math.PI/180)}function Fc(t){return(180+t)/360}function Bc(t){return(180-180/Math.PI*Math.log(Math.tan(Math.PI/4+t*Math.PI/360)))/360}function Nc(t,e){return t/Rc(e)}function jc(t){var e=180-360*t;return 360/Math.PI*Math.atan(Math.exp(e*Math.PI/180))-90}var Uc=function(t,e,r){void 0===r&&(r=0),this.x=+t,this.y=+e,this.z=+r};Uc.fromLngLat=function(t,e){void 0===e&&(e=0);var r=Dc.convert(t);return new Uc(Fc(r.lng),Bc(r.lat),Nc(e,r.lat))},Uc.prototype.toLngLat=function(){return new Dc(360*this.x-180,jc(this.y))},Uc.prototype.toAltitude=function(){return t=this.z,e=this.y,t*Rc(jc(e));var t,e},Uc.prototype.meterInMercatorCoordinateUnits=function(){return 1/zc*(t=jc(this.y),1/Math.cos(t*Math.PI/180));var t};var Vc=function(t,e,r){this.z=t,this.x=e,this.y=r,this.key=Gc(0,t,t,e,r)};Vc.prototype.equals=function(t){return this.z===t.z&&this.x===t.x&&this.y===t.y},Vc.prototype.url=function(t,e){var r,n,i,a,o,s=(r=this.x,n=this.y,i=this.z,a=Pc(256*r,256*(n=Math.pow(2,i)-n-1),i),o=Pc(256*(r+1),256*(n+1),i),a[0]+","+a[1]+","+o[0]+","+o[1]),l=function(t,e,r){for(var n,i="",a=t;a>0;a--)i+=(e&(n=1<this.canonical.z?new Hc(t,this.wrap,this.canonical.z,this.canonical.x,this.canonical.y):new Hc(t,this.wrap,t,this.canonical.x>>e,this.canonical.y>>e)},Hc.prototype.calculateScaledKey=function(t,e){var r=this.canonical.z-t;return t>this.canonical.z?Gc(this.wrap*+e,t,this.canonical.z,this.canonical.x,this.canonical.y):Gc(this.wrap*+e,t,t,this.canonical.x>>r,this.canonical.y>>r)},Hc.prototype.isChildOf=function(t){if(t.wrap!==this.wrap)return!1;var e=this.canonical.z-t.canonical.z;return 0===t.overscaledZ||t.overscaledZ>e&&t.canonical.y===this.canonical.y>>e},Hc.prototype.children=function(t){if(this.overscaledZ>=t)return[new Hc(this.overscaledZ+1,this.wrap,this.canonical.z,this.canonical.x,this.canonical.y)];var e=this.canonical.z+1,r=2*this.canonical.x,n=2*this.canonical.y;return[new Hc(e,this.wrap,e,r,n),new Hc(e,this.wrap,e,r+1,n),new Hc(e,this.wrap,e,r,n+1),new Hc(e,this.wrap,e,r+1,n+1)]},Hc.prototype.isLessThan=function(t){return this.wrapt.wrap)&&(this.overscaledZt.overscaledZ)&&(this.canonical.xt.canonical.x)&&this.canonical.y=this.dim+1||e<-1||e>=this.dim+1)throw new RangeError("out of range source coordinates for DEM data");return(e+1)*this.stride+(t+1)},Wc.prototype._unpackMapbox=function(t,e,r){return(256*t*256+256*e+r)/10-1e4},Wc.prototype._unpackTerrarium=function(t,e,r){return 256*t+e+r/256-32768},Wc.prototype.getPixels=function(){return new $o({width:this.stride,height:this.stride},new Uint8Array(this.data.buffer))},Wc.prototype.backfillBorder=function(t,e,r){if(this.dim!==t.dim)throw new Error("dem dimension mismatch");var n=e*this.dim,i=e*this.dim+this.dim,a=r*this.dim,o=r*this.dim+this.dim;switch(e){case-1:n=i-1;break;case 1:i=n+1}switch(r){case-1:a=o-1;break;case 1:o=a+1}for(var s=-e*this.dim,l=-r*this.dim,u=a;u=0&&c[3]>=0&&s.insert(o,c[0],c[1],c[2],c[3])}},Jc.prototype.loadVTLayers=function(){return this.vtLayers||(this.vtLayers=new tl.VectorTile(new Ol(this.rawTileData)).layers,this.sourceLayerCoder=new Yc(this.vtLayers?Object.keys(this.vtLayers).sort():["_geojsonTileLayer"])),this.vtLayers},Jc.prototype.query=function(t,e,r,n){var i=this;this.loadVTLayers();for(var o=t.params||{},s=po/t.tileSize/t.scale,l=An(o.filter),u=t.queryGeometry,c=t.queryPadding*s,f=Qc(u),h=this.grid.query(f.minX-c,f.minY-c,f.maxX+c,f.maxY+c),p=Qc(t.cameraQueryGeometry),d=0,v=this.grid3D.query(p.minX-c,p.minY-c,p.maxX+c,p.maxY+c,(function(e,r,n,i){return function(t,e,r,n,i){for(var o=0,s=t;o=l.x&&i>=l.y)return!0}var u=[new a(e,r),new a(e,i),new a(n,i),new a(n,r)];if(t.length>2)for(var c=0,f=u;c=0)return!0;return!1}(a,f)){var h=this.sourceLayerCoder.decode(r),d=this.vtLayers[h].feature(n);if(i.needGeometry){var v=mo(d,!0);if(!i.filter(new Di(this.tileID.overscaledZ),v,this.tileID.canonical))return}else if(!i.filter(new Di(this.tileID.overscaledZ),d))return;for(var g=this.getId(d,h),y=0;yn)i=!1;else if(e)if(this.expirationTimeht&&(t.getActor().send("enforceCacheSizeLimit",ft),xt=0)},t.clamp=f,t.clearTileCache=function(t){var e=s.caches.delete(ct);t&&e.catch(t).then((function(){return t()}))},t.clipLine=Fu,t.clone=function(t){var e=new Fo(16);return e[0]=t[0],e[1]=t[1],e[2]=t[2],e[3]=t[3],e[4]=t[4],e[5]=t[5],e[6]=t[6],e[7]=t[7],e[8]=t[8],e[9]=t[9],e[10]=t[10],e[11]=t[11],e[12]=t[12],e[13]=t[13],e[14]=t[14],e[15]=t[15],e},t.clone$1=w,t.clone$2=function(t){var e=new Fo(3);return e[0]=t[0],e[1]=t[1],e[2]=t[2],e},t.collisionCircleLayout=Ml,t.config=j,t.create=function(){var t=new Fo(16);return Fo!=Float32Array&&(t[1]=0,t[2]=0,t[3]=0,t[4]=0,t[6]=0,t[7]=0,t[8]=0,t[9]=0,t[11]=0,t[12]=0,t[13]=0,t[14]=0),t[0]=1,t[5]=1,t[10]=1,t[15]=1,t},t.create$1=function(){var t=new Fo(9);return Fo!=Float32Array&&(t[1]=0,t[2]=0,t[3]=0,t[5]=0,t[6]=0,t[7]=0),t[0]=1,t[4]=1,t[8]=1,t},t.create$2=function(){var t=new Fo(4);return Fo!=Float32Array&&(t[1]=0,t[2]=0),t[0]=1,t[3]=1,t},t.createCommonjsModule=e,t.createExpression=fn,t.createLayout=ta,t.createStyleLayer=function(t){return"custom"===t.type?new _c(t):new wc[t.type](t)},t.cross=function(t,e,r){var n=e[0],i=e[1],a=e[2],o=r[0],s=r[1],l=r[2];return t[0]=i*l-a*s,t[1]=a*o-n*l,t[2]=n*s-i*o,t},t.deepEqual=function t(e,r){if(Array.isArray(e)){if(!Array.isArray(r)||e.length!==r.length)return!1;for(var n=0;n0&&(a=1/Math.sqrt(a)),t[0]=e[0]*a,t[1]=e[1]*a,t[2]=e[2]*a,t},t.number=er,t.offscreenCanvasSupported=bt,t.ortho=function(t,e,r,n,i,a,o){var s=1/(e-r),l=1/(n-i),u=1/(a-o);return t[0]=-2*s,t[1]=0,t[2]=0,t[3]=0,t[4]=0,t[5]=-2*l,t[6]=0,t[7]=0,t[8]=0,t[9]=0,t[10]=2*u,t[11]=0,t[12]=(e+r)*s,t[13]=(i+n)*l,t[14]=(o+a)*u,t[15]=1,t},t.parseGlyphPBF=function(t){return new Ol(t).readFields(Ql,[])},t.pbf=Ol,t.performSymbolLayout=function(t,e,r,n,i,a,o){t.createArrays();var s=512*t.overscaling;t.tilePixelRatio=po/s,t.compareText={},t.iconsNeedLinear=!1;var l=t.layers[0].layout,u=t.layers[0]._unevaluatedLayout._values,c={};if("composite"===t.textSizeData.kind){var f=t.textSizeData,h=f.minZoom,p=f.maxZoom;c.compositeTextSizes=[u["text-size"].possiblyEvaluate(new Di(h),o),u["text-size"].possiblyEvaluate(new Di(p),o)]}if("composite"===t.iconSizeData.kind){var d=t.iconSizeData,v=d.minZoom,g=d.maxZoom;c.compositeIconSizes=[u["icon-size"].possiblyEvaluate(new Di(v),o),u["icon-size"].possiblyEvaluate(new Di(g),o)]}c.layoutTextSize=u["text-size"].possiblyEvaluate(new Di(t.zoom+1),o),c.layoutIconSize=u["icon-size"].possiblyEvaluate(new Di(t.zoom+1),o),c.textMaxSize=u["text-size"].possiblyEvaluate(new Di(18));for(var y=l.get("text-line-height")*Ll,m="map"===l.get("text-rotation-alignment")&&"point"!==l.get("symbol-placement"),x=l.get("text-keep-upright"),b=l.get("text-size"),_=function(){var a=T[w],s=l.get("text-font").evaluate(a,{},o).join(","),u=b.evaluate(a,{},o),f=c.layoutTextSize.evaluate(a,{},o),h=c.layoutIconSize.evaluate(a,{},o),p={horizontal:{},vertical:void 0},d=a.text,v=[0,0];if(d){var g=d.toString(),_=l.get("text-letter-spacing").evaluate(a,{},o)*Ll,A=function(t){for(var e=0,r=t;e=po||f.y<0||f.y>=po||function(t,e,r,n,i,a,o,s,l,u,c,f,h,p,d,v,g,y,m,x,b,_,w,T,A){var M,S,E,L,C,P=t.addToLineVertexArray(e,r),O=0,I=0,D=0,z=0,R=-1,F=-1,B={},N=ja(""),j=0,U=0;if(void 0===s._unevaluatedLayout.getValue("text-radial-offset")?(j=(M=s.layout.get("text-offset").evaluate(b,{},T).map((function(t){return t*Ll})))[0],U=M[1]):(j=s.layout.get("text-radial-offset").evaluate(b,{},T)*Ll,U=Ju),t.allowVerticalPlacement&&n.vertical){var V=s.layout.get("text-rotate").evaluate(b,{},T)+90,q=n.vertical;L=new Hu(l,e,u,c,f,q,h,p,d,V),o&&(C=new Hu(l,e,u,c,f,o,g,y,d,V))}if(i){var H=s.layout.get("icon-rotate").evaluate(b,{}),G="none"!==s.layout.get("icon-text-fit"),W=Nu(i,H,w,G),Y=o?Nu(o,H,w,G):void 0;E=new Hu(l,e,u,c,f,i,g,y,!1,H),O=4*W.length;var X=t.iconSizeData,Z=null;"source"===X.kind?(Z=[Au*s.layout.get("icon-size").evaluate(b,{})])[0]>ec&&k(t.layerIds[0]+': Value for "icon-size" is >= '+tc+'. Reduce your "icon-size".'):"composite"===X.kind&&((Z=[Au*_.compositeIconSizes[0].evaluate(b,{},T),Au*_.compositeIconSizes[1].evaluate(b,{},T)])[0]>ec||Z[1]>ec)&&k(t.layerIds[0]+': Value for "icon-size" is >= '+tc+'. Reduce your "icon-size".'),t.addSymbols(t.icon,W,Z,x,m,b,!1,e,P.lineStartIndex,P.lineLength,-1,T),R=t.icon.placedSymbolArray.length-1,Y&&(I=4*Y.length,t.addSymbols(t.icon,Y,Z,x,m,b,lu.vertical,e,P.lineStartIndex,P.lineLength,-1,T),F=t.icon.placedSymbolArray.length-1)}for(var K in n.horizontal){var J=n.horizontal[K];if(!S){N=ja(J.text);var $=s.layout.get("text-rotate").evaluate(b,{},T);S=new Hu(l,e,u,c,f,J,h,p,d,$)}var Q=1===J.positionedLines.length;if(D+=rc(t,e,J,a,s,d,b,v,P,n.vertical?lu.horizontal:lu.horizontalOnly,Q?Object.keys(n.horizontal):[K],B,R,_,T),Q)break}n.vertical&&(z+=rc(t,e,n.vertical,a,s,d,b,v,P,lu.vertical,["vertical"],B,F,_,T));var tt=S?S.boxStartIndex:t.collisionBoxArray.length,et=S?S.boxEndIndex:t.collisionBoxArray.length,rt=L?L.boxStartIndex:t.collisionBoxArray.length,nt=L?L.boxEndIndex:t.collisionBoxArray.length,it=E?E.boxStartIndex:t.collisionBoxArray.length,at=E?E.boxEndIndex:t.collisionBoxArray.length,ot=C?C.boxStartIndex:t.collisionBoxArray.length,st=C?C.boxEndIndex:t.collisionBoxArray.length,lt=-1,ut=function(t,e){return t&&t.circleDiameter?Math.max(t.circleDiameter,e):e};lt=ut(S,lt),lt=ut(L,lt),lt=ut(E,lt);var ct=(lt=ut(C,lt))>-1?1:0;ct&&(lt*=A/Ll),t.glyphOffsetArray.length>=hc.MAX_GLYPHS&&k("Too many glyphs being rendered in a tile. See https://github.com/mapbox/mapbox-gl-js/issues/2907"),void 0!==b.sortKey&&t.addToSortKeyRanges(t.symbolInstances.length,b.sortKey),t.symbolInstances.emplaceBack(e.x,e.y,B.right>=0?B.right:-1,B.center>=0?B.center:-1,B.left>=0?B.left:-1,B.vertical||-1,R,F,N,tt,et,rt,nt,it,at,ot,st,u,D,z,O,I,ct,0,h,j,U,lt)}(t,f,s,r,n,i,h,t.layers[0],t.collisionBoxArray,e.index,e.sourceLayerIndex,t.index,m,w,M,l,b,T,S,d,e,a,u,c,o)};if("line"===E)for(var O=0,I=Fu(e.geometry,0,0,po,po);O1){var U=Du(j,A,r.vertical||v,n,g,x);U&&P(j,U)}}else if("Polygon"===e.type)for(var V=0,q=Fs(e.geometry,0);V=E.maxzoom||"none"!==E.visibility&&(o(S,this.zoom,n),(v[E.id]=E.createBucket({index:c.bucketLayerIDs.length,layers:S,zoom:this.zoom,pixelRatio:this.pixelRatio,overscaling:this.overscaling,collisionBoxArray:this.collisionBoxArray,sourceLayerIndex:b,sourceID:this.source})).populate(_,g,this.tileID.canonical),c.bucketLayerIDs.push(S.map((function(t){return t.id}))))}}}var L=t.mapObject(g.glyphDependencies,(function(t){return Object.keys(t).map(Number)}));Object.keys(L).length?a.send("getGlyphs",{uid:this.uid,stacks:L},(function(t,e){f||(f=t,h=e,O.call(l))})):h={};var C=Object.keys(g.iconDependencies);C.length?a.send("getImages",{icons:C,source:this.source,tileID:this.tileID,type:"icons"},(function(t,e){f||(f=t,p=e,O.call(l))})):p={};var P=Object.keys(g.patternDependencies);function O(){if(f)return s(f);if(h&&p&&d){var e=new i(h),r=new t.ImageAtlas(p,d);for(var a in v){var l=v[a];l instanceof t.SymbolBucket?(o(l.layers,this.zoom,n),t.performSymbolLayout(l,h,e.positions,p,r.iconPositions,this.showCollisionBoxes,this.tileID.canonical)):l.hasPattern&&(l instanceof t.LineBucket||l instanceof t.FillBucket||l instanceof t.FillExtrusionBucket)&&(o(l.layers,this.zoom,n),l.addFeatures(g,this.tileID.canonical,r.patternPositions))}this.status="done",s(null,{buckets:t.values(v).filter((function(t){return!t.isEmpty()})),featureIndex:c,collisionBoxArray:this.collisionBoxArray,glyphAtlasImage:e.image,imageAtlas:r,glyphMap:this.returnDependencies?h:null,iconMap:this.returnDependencies?p:null,glyphPositions:this.returnDependencies?e.positions:null})}}P.length?a.send("getImages",{icons:P,source:this.source,tileID:this.tileID,type:"patterns"},(function(t,e){f||(f=t,d=e,O.call(l))})):d={},O.call(this)};var l=function(t,e,r,n){this.actor=t,this.layerIndex=e,this.availableImages=r,this.loadVectorData=n||s,this.loading={},this.loaded={}};l.prototype.loadTile=function(e,r){var n=this,i=e.uid;this.loading||(this.loading={});var o=!!(e&&e.request&&e.request.collectResourceTiming)&&new t.RequestPerformance(e.request),s=this.loading[i]=new a(e);s.abort=this.loadVectorData(e,(function(e,a){if(delete n.loading[i],e||!a)return s.status="done",n.loaded[i]=s,r(e);var l=a.rawData,u={};a.expires&&(u.expires=a.expires),a.cacheControl&&(u.cacheControl=a.cacheControl);var c={};if(o){var f=o.finish();f&&(c.resourceTiming=JSON.parse(JSON.stringify(f)))}s.vectorTile=a.vectorTile,s.parse(a.vectorTile,n.layerIndex,n.availableImages,n.actor,(function(e,n){if(e||!n)return r(e);r(null,t.extend({rawTileData:l.slice(0)},n,u,c))})),n.loaded=n.loaded||{},n.loaded[i]=s}))},l.prototype.reloadTile=function(t,e){var r=this,n=this.loaded,i=t.uid,a=this;if(n&&n[i]){var o=n[i];o.showCollisionBoxes=t.showCollisionBoxes;var s=function(t,n){var i=o.reloadCallback;i&&(delete o.reloadCallback,o.parse(o.vectorTile,a.layerIndex,r.availableImages,a.actor,i)),e(t,n)};"parsing"===o.status?o.reloadCallback=s:"done"===o.status&&(o.vectorTile?o.parse(o.vectorTile,this.layerIndex,this.availableImages,this.actor,s):s())}},l.prototype.abortTile=function(t,e){var r=this.loading,n=t.uid;r&&r[n]&&r[n].abort&&(r[n].abort(),delete r[n]),e()},l.prototype.removeTile=function(t,e){var r=this.loaded,n=t.uid;r&&r[n]&&delete r[n],e()};var u=t.window.ImageBitmap,c=function(){this.loaded={}};c.prototype.loadTile=function(e,r){var n=e.uid,i=e.encoding,a=e.rawImageData,o=u&&a instanceof u?this.getImageData(a):a,s=new t.DEMData(n,o,i);this.loaded=this.loaded||{},this.loaded[n]=s,r(null,s)},c.prototype.getImageData=function(e){this.offscreenCanvas&&this.offscreenCanvasContext||(this.offscreenCanvas=new OffscreenCanvas(e.width,e.height),this.offscreenCanvasContext=this.offscreenCanvas.getContext("2d")),this.offscreenCanvas.width=e.width,this.offscreenCanvas.height=e.height,this.offscreenCanvasContext.drawImage(e,0,0,e.width,e.height);var r=this.offscreenCanvasContext.getImageData(-1,-1,e.width+2,e.height+2);return this.offscreenCanvasContext.clearRect(0,0,this.offscreenCanvas.width,this.offscreenCanvas.height),new t.RGBAImage({width:r.width,height:r.height},r.data)},c.prototype.removeTile=function(t){var e=this.loaded,r=t.uid;e&&e[r]&&delete e[r]};var f=function t(e,r){var n,i=e&&e.type;if("FeatureCollection"===i)for(n=0;n=0!=!!e&&t.reverse()}var d=t.vectorTile.VectorTileFeature.prototype.toGeoJSON,v=function(e){this._feature=e,this.extent=t.EXTENT,this.type=e.type,this.properties=e.tags,"id"in e&&!isNaN(e.id)&&(this.id=parseInt(e.id,10))};v.prototype.loadGeometry=function(){if(1===this._feature.type){for(var e=[],r=0,n=this._feature.geometry;r>31}function P(t,e){for(var r=t.loadGeometry(),n=t.type,i=0,a=0,o=r.length,s=0;s>1;D(t,e,o,n,i,a%2),I(t,e,r,n,o-1,a+1),I(t,e,r,o+1,i,a+1)}}function D(t,e,r,n,i,a){for(;i>n;){if(i-n>600){var o=i-n+1,s=r-n+1,l=Math.log(o),u=.5*Math.exp(2*l/3),c=.5*Math.sqrt(l*u*(o-u)/o)*(s-o/2<0?-1:1);D(t,e,r,Math.max(n,Math.floor(r-s*u/o+c)),Math.min(i,Math.floor(r+(o-s)*u/o+c)),a)}var f=e[2*r+a],h=n,p=i;for(z(t,e,n,r),e[2*i+a]>f&&z(t,e,n,i);hf;)p--}e[2*n+a]===f?z(t,e,n,p):z(t,e,++p,i),p<=r&&(n=p+1),r<=p&&(i=p-1)}}function z(t,e,r,n){R(t,r,n),R(e,2*r,2*n),R(e,2*r+1,2*n+1)}function R(t,e,r){var n=t[e];t[e]=t[r],t[r]=n}function F(t,e,r,n){var i=t-r,a=e-n;return i*i+a*a}_.fromVectorTileJs=w,_.fromGeojsonVt=T,_.GeoJSONWrapper=k;var B=function(t){return t[0]},N=function(t){return t[1]},j=function(t,e,r,n,i){void 0===e&&(e=B),void 0===r&&(r=N),void 0===n&&(n=64),void 0===i&&(i=Float64Array),this.nodeSize=n,this.points=t;for(var a=t.length<65536?Uint16Array:Uint32Array,o=this.ids=new a(t.length),s=this.coords=new i(2*t.length),l=0;l=r&&s<=i&&l>=n&&l<=a&&c.push(t[d]);else{var v=Math.floor((p+h)/2);s=e[2*v],l=e[2*v+1],s>=r&&s<=i&&l>=n&&l<=a&&c.push(t[v]);var g=(f+1)%2;(0===f?r<=s:n<=l)&&(u.push(p),u.push(v-1),u.push(g)),(0===f?i>=s:a>=l)&&(u.push(v+1),u.push(h),u.push(g))}}return c}(this.ids,this.coords,t,e,r,n,this.nodeSize)},j.prototype.within=function(t,e,r){return function(t,e,r,n,i,a){for(var o=[0,t.length-1,0],s=[],l=i*i;o.length;){var u=o.pop(),c=o.pop(),f=o.pop();if(c-f<=a)for(var h=f;h<=c;h++)F(e[2*h],e[2*h+1],r,n)<=l&&s.push(t[h]);else{var p=Math.floor((f+c)/2),d=e[2*p],v=e[2*p+1];F(d,v,r,n)<=l&&s.push(t[p]);var g=(u+1)%2;(0===u?r-i<=d:n-i<=v)&&(o.push(f),o.push(p-1),o.push(g)),(0===u?r+i>=d:n+i>=v)&&(o.push(p+1),o.push(c),o.push(g))}}return s}(this.ids,this.coords,t,e,r,this.nodeSize)};var U={minZoom:0,maxZoom:16,minPoints:2,radius:40,extent:512,nodeSize:64,log:!1,generateId:!1,reduce:null,map:function(t){return t}},V=function(t){this.options=Z(Object.create(U),t),this.trees=new Array(this.options.maxZoom+1)};function q(t,e,r,n,i){return{x:t,y:e,zoom:1/0,id:r,parentId:-1,numPoints:n,properties:i}}function H(t,e){var r=t.geometry.coordinates,n=r[0],i=r[1];return{x:Y(n),y:X(i),zoom:1/0,index:e,parentId:-1}}function G(t){return{type:"Feature",id:t.id,properties:W(t),geometry:{type:"Point",coordinates:[(n=t.x,360*(n-.5)),(e=t.y,r=(180-360*e)*Math.PI/180,360*Math.atan(Math.exp(r))/Math.PI-90)]}};var e,r,n}function W(t){var e=t.numPoints,r=e>=1e4?Math.round(e/1e3)+"k":e>=1e3?Math.round(e/100)/10+"k":e;return Z(Z({},t.properties),{cluster:!0,cluster_id:t.id,point_count:e,point_count_abbreviated:r})}function Y(t){return t/360+.5}function X(t){var e=Math.sin(t*Math.PI/180),r=.5-.25*Math.log((1+e)/(1-e))/Math.PI;return r<0?0:r>1?1:r}function Z(t,e){for(var r in e)t[r]=e[r];return t}function K(t){return t.x}function J(t){return t.y}function $(t,e,r,n){for(var i,a=n,o=r-e>>1,s=r-e,l=t[e],u=t[e+1],c=t[r],f=t[r+1],h=e+3;ha)i=h,a=p;else if(p===a){var d=Math.abs(h-o);dn&&(i-e>3&&$(t,e,i,n),t[i+2]=a,r-i>3&&$(t,i,r,n))}function Q(t,e,r,n,i,a){var o=i-r,s=a-n;if(0!==o||0!==s){var l=((t-r)*o+(e-n)*s)/(o*o+s*s);l>1?(r=i,n=a):l>0&&(r+=o*l,n+=s*l)}return(o=t-r)*o+(s=e-n)*s}function tt(t,e,r,n){var i={id:void 0===t?null:t,type:e,geometry:r,tags:n,minX:1/0,minY:1/0,maxX:-1/0,maxY:-1/0};return function(t){var e=t.geometry,r=t.type;if("Point"===r||"MultiPoint"===r||"LineString"===r)et(t,e);else if("Polygon"===r||"MultiLineString"===r)for(var n=0;n0&&(o+=n?(i*u-l*a)/2:Math.sqrt(Math.pow(l-i,2)+Math.pow(u-a,2))),i=l,a=u}var c=e.length-3;e[2]=1,$(e,0,c,r),e[c+2]=1,e.size=Math.abs(o),e.start=0,e.end=e.size}function at(t,e,r,n){for(var i=0;i1?1:r}function lt(t,e,r,n,i,a,o,s){if(n/=e,a>=(r/=e)&&o=n)return null;for(var l=[],u=0;u=r&&d=n)){var v=[];if("Point"===h||"MultiPoint"===h)ut(f,v,r,n,i);else if("LineString"===h)ct(f,v,r,n,i,!1,s.lineMetrics);else if("MultiLineString"===h)ht(f,v,r,n,i,!1);else if("Polygon"===h)ht(f,v,r,n,i,!0);else if("MultiPolygon"===h)for(var g=0;g=r&&o<=n&&(e.push(t[a]),e.push(t[a+1]),e.push(t[a+2]))}}function ct(t,e,r,n,i,a,o){for(var s,l,u=ft(t),c=0===i?dt:vt,f=t.start,h=0;hr&&(l=c(u,p,d,g,y,r),o&&(u.start=f+s*l)):m>n?x=r&&(l=c(u,p,d,g,y,r),b=!0),x>n&&m<=n&&(l=c(u,p,d,g,y,n),b=!0),!a&&b&&(o&&(u.end=f+s*l),e.push(u),u=ft(t)),o&&(f+=s)}var _=t.length-3;p=t[_],d=t[_+1],v=t[_+2],(m=0===i?p:d)>=r&&m<=n&&pt(u,p,d,v),_=u.length-3,a&&_>=3&&(u[_]!==u[0]||u[_+1]!==u[1])&&pt(u,u[0],u[1],u[2]),u.length&&e.push(u)}function ft(t){var e=[];return e.size=t.size,e.start=t.start,e.end=t.end,e}function ht(t,e,r,n,i,a){for(var o=0;oo.maxX&&(o.maxX=c),f>o.maxY&&(o.maxY=f)}return o}function _t(t,e,r,n){var i=e.geometry,a=e.type,o=[];if("Point"===a||"MultiPoint"===a)for(var s=0;s0&&e.size<(i?o:n))r.numPoints+=e.length/3;else{for(var s=[],l=0;lo)&&(r.numSimplified++,s.push(e[l]),s.push(e[l+1])),r.numPoints++;i&&function(t,e){for(var r=0,n=0,i=t.length,a=i-2;n0===e)for(n=0,i=t.length;n24)throw new Error("maxZoom should be in the 0-24 range");if(e.promoteId&&e.generateId)throw new Error("promoteId and generateId cannot be used together.");var n=function(t,e){var r=[];if("FeatureCollection"===t.type)for(var n=0;n=n;u--){var c=+Date.now();s=this._cluster(s,u),this.trees[u]=new j(s,K,J,a,Float32Array),r&&console.log("z%d: %d clusters in %dms",u,s.length,+Date.now()-c)}return r&&console.timeEnd("total time"),this},V.prototype.getClusters=function(t,e){var r=((t[0]+180)%360+360)%360-180,n=Math.max(-90,Math.min(90,t[1])),i=180===t[2]?180:((t[2]+180)%360+360)%360-180,a=Math.max(-90,Math.min(90,t[3]));if(t[2]-t[0]>=360)r=-180,i=180;else if(r>i){var o=this.getClusters([r,n,180,a],e),s=this.getClusters([-180,n,i,a],e);return o.concat(s)}for(var l=this.trees[this._limitZoom(e)],u=[],c=0,f=l.range(Y(r),X(a),Y(i),X(n));ce&&(d+=m.numPoints||1)}if(d>=s){for(var x=c.x*p,b=c.y*p,_=o&&p>1?this._map(c,!0):null,w=(u<<5)+(e+1)+this.points.length,T=0,k=h;T1)for(var E=0,L=h;E>5},V.prototype._getOriginZoom=function(t){return(t-this.points.length)%32},V.prototype._map=function(t,e){if(t.numPoints)return e?Z({},t.properties):t.properties;var r=this.points[t.index].properties,n=this.options.map(r);return e&&n===r?Z({},n):n},Tt.prototype.options={maxZoom:14,indexMaxZoom:5,indexMaxPoints:1e5,tolerance:3,extent:4096,buffer:64,lineMetrics:!1,promoteId:null,generateId:!1,debug:0},Tt.prototype.splitTile=function(t,e,r,n,i,a,o){for(var s=[t,e,r,n],l=this.options,u=l.debug;s.length;){n=s.pop(),r=s.pop(),e=s.pop(),t=s.pop();var c=1<1&&console.time("creation"),h=this.tiles[f]=bt(t,e,r,n,l),this.tileCoords.push({z:e,x:r,y:n}),u)){u>1&&(console.log("tile z%d-%d-%d (features: %d, points: %d, simplified: %d)",e,r,n,h.numFeatures,h.numPoints,h.numSimplified),console.timeEnd("creation"));var p="z"+e;this.stats[p]=(this.stats[p]||0)+1,this.total++}if(h.source=t,i){if(e===l.maxZoom||e===i)continue;var d=1<1&&console.time("clipping");var v,g,y,m,x,b,_=.5*l.buffer/l.extent,w=.5-_,T=.5+_,k=1+_;v=g=y=m=null,x=lt(t,c,r-_,r+T,0,h.minX,h.maxX,l),b=lt(t,c,r+w,r+k,0,h.minX,h.maxX,l),t=null,x&&(v=lt(x,c,n-_,n+T,1,h.minY,h.maxY,l),g=lt(x,c,n+w,n+k,1,h.minY,h.maxY,l),x=null),b&&(y=lt(b,c,n-_,n+T,1,h.minY,h.maxY,l),m=lt(b,c,n+w,n+k,1,h.minY,h.maxY,l),b=null),u>1&&console.timeEnd("clipping"),s.push(v||[],e+1,2*r,2*n),s.push(g||[],e+1,2*r,2*n+1),s.push(y||[],e+1,2*r+1,2*n),s.push(m||[],e+1,2*r+1,2*n+1)}}},Tt.prototype.getTile=function(t,e,r){var n=this.options,i=n.extent,a=n.debug;if(t<0||t>24)return null;var o=1<1&&console.log("drilling down to z%d-%d-%d",t,e,r);for(var l,u=t,c=e,f=r;!l&&u>0;)u--,c=Math.floor(c/2),f=Math.floor(f/2),l=this.tiles[kt(u,c,f)];return l&&l.source?(a>1&&console.log("found parent tile z%d-%d-%d",u,c,f),a>1&&console.time("drilling down"),this.splitTile(l.source,u,c,f,t,e,r),a>1&&console.timeEnd("drilling down"),this.tiles[s]?mt(this.tiles[s],i):null):null};var Mt=function(e){function r(t,r,n,i){e.call(this,t,r,n,At),i&&(this.loadGeoJSON=i)}return e&&(r.__proto__=e),r.prototype=Object.create(e&&e.prototype),r.prototype.constructor=r,r.prototype.loadData=function(t,e){this._pendingCallback&&this._pendingCallback(null,{abandoned:!0}),this._pendingCallback=e,this._pendingLoadDataParams=t,this._state&&"Idle"!==this._state?this._state="NeedsLoadData":(this._state="Coalescing",this._loadData())},r.prototype._loadData=function(){var e=this;if(this._pendingCallback&&this._pendingLoadDataParams){var r=this._pendingCallback,n=this._pendingLoadDataParams;delete this._pendingCallback,delete this._pendingLoadDataParams;var i=!!(n&&n.request&&n.request.collectResourceTiming)&&new t.RequestPerformance(n.request);this.loadGeoJSON(n,(function(a,o){if(a||!o)return r(a);if("object"!=typeof o)return r(new Error("Input data given to '"+n.source+"' is not a valid GeoJSON object."));f(o,!0);try{if(n.filter){var s=t.createExpression(n.filter,{type:"boolean","property-type":"data-driven",overridable:!1,transition:!1});if("error"===s.result)throw new Error(s.value.map((function(t){return t.key+": "+t.message})).join(", "));var l=o.features.filter((function(t){return s.value.evaluate({zoom:0},t)}));o={type:"FeatureCollection",features:l}}e._geoJSONIndex=n.cluster?new V(function(e){var r=e.superclusterOptions,n=e.clusterProperties;if(!n||!r)return r;for(var i={},a={},o={accumulated:null,zoom:0},s={properties:null},l=Object.keys(n),u=0,c=l;u=0?0:e.button},r.remove=function(t){t.parentNode&&t.parentNode.removeChild(t)};var h=function(e){function r(){e.call(this),this.images={},this.updatedImages={},this.callbackDispatchedThisFrame={},this.loaded=!1,this.requestors=[],this.patterns={},this.atlasImage=new t.RGBAImage({width:1,height:1}),this.dirty=!0}return e&&(r.__proto__=e),r.prototype=Object.create(e&&e.prototype),r.prototype.constructor=r,r.prototype.isLoaded=function(){return this.loaded},r.prototype.setLoaded=function(t){if(this.loaded!==t&&(this.loaded=t,t)){for(var e=0,r=this.requestors;e=0?1.2:1))}function y(t,e,r,n,i,a,o){for(var s=0;s65535)e(new Error("glyphs > 65535 not supported"));else if(a.ranges[s])e(null,{stack:r,id:i,glyph:o});else{var l=a.requests[s];l||(l=a.requests[s]=[],x.loadGlyphRange(r,s,n.url,n.requestManager,(function(t,e){if(e){for(var r in e)n._doesCharSupportLocalGlyph(+r)||(a.glyphs[+r]=e[+r]);a.ranges[s]=!0}for(var i=0,o=l;i1&&(l=t[++s]);var c=Math.abs(u-l.left),f=Math.abs(u-l.right),h=Math.min(c,f),p=void 0,d=i/r*(n+1);if(l.isDash){var v=n-Math.abs(d);p=Math.sqrt(h*h+v*v)}else p=n-Math.sqrt(h*h+d*d);this.data[o+u]=Math.max(0,Math.min(255,p+128))}},k.prototype.addRegularDash=function(t){for(var e=t.length-1;e>=0;--e){var r=t[e],n=t[e+1];r.zeroLength?t.splice(e,1):n&&n.isDash===r.isDash&&(n.left=r.left,t.splice(e,1))}var i=t[0],a=t[t.length-1];i.isDash===a.isDash&&(i.left=a.left-this.width,a.right=i.right+this.width);for(var o=this.width*this.nextRow,s=0,l=t[s],u=0;u1&&(l=t[++s]);var c=Math.abs(u-l.left),f=Math.abs(u-l.right),h=Math.min(c,f),p=l.isDash?h:-h;this.data[o+u]=Math.max(0,Math.min(255,p+128))}},k.prototype.addDash=function(e,r){var n=r?7:0,i=2*n+1;if(this.nextRow+i>this.height)return t.warnOnce("LineAtlas out of space"),null;for(var a=0,o=0;o=n&&e.x=i&&e.y0&&(l[new t.OverscaledTileID(e.overscaledZ,a,r.z,i,r.y-1).key]={backfilled:!1},l[new t.OverscaledTileID(e.overscaledZ,e.wrap,r.z,r.x,r.y-1).key]={backfilled:!1},l[new t.OverscaledTileID(e.overscaledZ,s,r.z,o,r.y-1).key]={backfilled:!1}),r.y+10&&(n.resourceTiming=e._resourceTiming,e._resourceTiming=[]),e.fire(new t.Event("data",n))}}))},r.prototype.onAdd=function(t){this.map=t,this.load()},r.prototype.setData=function(e){var r=this;return this._data=e,this.fire(new t.Event("dataloading",{dataType:"source"})),this._updateWorkerData((function(e){if(e)r.fire(new t.ErrorEvent(e));else{var n={dataType:"source",sourceDataType:"content"};r._collectResourceTiming&&r._resourceTiming&&r._resourceTiming.length>0&&(n.resourceTiming=r._resourceTiming,r._resourceTiming=[]),r.fire(new t.Event("data",n))}})),this},r.prototype.getClusterExpansionZoom=function(t,e){return this.actor.send("geojson.getClusterExpansionZoom",{clusterId:t,source:this.id},e),this},r.prototype.getClusterChildren=function(t,e){return this.actor.send("geojson.getClusterChildren",{clusterId:t,source:this.id},e),this},r.prototype.getClusterLeaves=function(t,e,r,n){return this.actor.send("geojson.getClusterLeaves",{source:this.id,clusterId:t,limit:e,offset:r},n),this},r.prototype._updateWorkerData=function(e){var r=this;this._loaded=!1;var n=t.extend({},this.workerOptions),i=this._data;"string"==typeof i?(n.request=this.map._requestManager.transformRequest(t.browser.resolveURL(i),t.ResourceType.Source),n.request.collectResourceTiming=this._collectResourceTiming):n.data=JSON.stringify(i),this.actor.send(this.type+".loadData",n,(function(t,i){r._removed||i&&i.abandoned||(r._loaded=!0,i&&i.resourceTiming&&i.resourceTiming[r.id]&&(r._resourceTiming=i.resourceTiming[r.id].slice(0)),r.actor.send(r.type+".coalesce",{source:n.source},null),e(t))}))},r.prototype.loaded=function(){return this._loaded},r.prototype.loadTile=function(e,r){var n=this,i=e.actor?"reloadTile":"loadTile";e.actor=this.actor;var a={type:this.type,uid:e.uid,tileID:e.tileID,zoom:e.tileID.overscaledZ,maxZoom:this.maxzoom,tileSize:this.tileSize,source:this.id,pixelRatio:t.browser.devicePixelRatio,showCollisionBoxes:this.map.showCollisionBoxes,promoteId:this.promoteId};e.request=this.actor.send(i,a,(function(t,a){return delete e.request,e.unloadVectorData(),e.aborted?r(null):t?r(t):(e.loadVectorData(a,n.map.painter,"reloadTile"===i),r(null))}))},r.prototype.abortTile=function(t){t.request&&(t.request.cancel(),delete t.request),t.aborted=!0},r.prototype.unloadTile=function(t){t.unloadVectorData(),this.actor.send("removeTile",{uid:t.uid,type:this.type,source:this.id})},r.prototype.onRemove=function(){this._removed=!0,this.actor.send("removeSource",{type:this.type,source:this.id})},r.prototype.serialize=function(){return t.extend({},this._options,{type:this.type,data:this._data})},r.prototype.hasTransition=function(){return!1},r}(t.Evented),O=t.createLayout([{name:"a_pos",type:"Int16",components:2},{name:"a_texture_pos",type:"Int16",components:2}]),I=function(e){function r(t,r,n,i){e.call(this),this.id=t,this.dispatcher=n,this.coordinates=r.coordinates,this.type="image",this.minzoom=0,this.maxzoom=22,this.tileSize=512,this.tiles={},this._loaded=!1,this.setEventedParent(i),this.options=r}return e&&(r.__proto__=e),r.prototype=Object.create(e&&e.prototype),r.prototype.constructor=r,r.prototype.load=function(e,r){var n=this;this._loaded=!1,this.fire(new t.Event("dataloading",{dataType:"source"})),this.url=this.options.url,t.getImage(this.map._requestManager.transformRequest(this.url,t.ResourceType.Image),(function(i,a){n._loaded=!0,i?n.fire(new t.ErrorEvent(i)):a&&(n.image=a,e&&(n.coordinates=e),r&&r(),n._finishLoading())}))},r.prototype.loaded=function(){return this._loaded},r.prototype.updateImage=function(t){var e=this;return this.image&&t.url?(this.options.url=t.url,this.load(t.coordinates,(function(){e.texture=null})),this):this},r.prototype._finishLoading=function(){this.map&&(this.setCoordinates(this.coordinates),this.fire(new t.Event("data",{dataType:"source",sourceDataType:"metadata"})))},r.prototype.onAdd=function(t){this.map=t,this.load()},r.prototype.setCoordinates=function(e){var r=this;this.coordinates=e;var n=e.map(t.MercatorCoordinate.fromLngLat);this.tileID=function(e){for(var r=1/0,n=1/0,i=-1/0,a=-1/0,o=0,s=e;or.end(0)?this.fire(new t.ErrorEvent(new t.ValidationError("sources."+this.id,null,"Playback for this video can be set only between the "+r.start(0)+" and "+r.end(0)+"-second mark."))):this.video.currentTime=e}},r.prototype.getVideo=function(){return this.video},r.prototype.onAdd=function(t){this.map||(this.map=t,this.load(),this.video&&(this.video.play(),this.setCoordinates(this.coordinates)))},r.prototype.prepare=function(){if(!(0===Object.keys(this.tiles).length||this.video.readyState<2)){var e=this.map.painter.context,r=e.gl;for(var n in this.boundsBuffer||(this.boundsBuffer=e.createVertexBuffer(this._boundsArray,O.members)),this.boundsSegments||(this.boundsSegments=t.SegmentVector.simpleSegment(0,0,4,2)),this.texture?this.video.paused||(this.texture.bind(r.LINEAR,r.CLAMP_TO_EDGE),r.texSubImage2D(r.TEXTURE_2D,0,0,0,r.RGBA,r.UNSIGNED_BYTE,this.video)):(this.texture=new t.Texture(e,this.video,r.RGBA),this.texture.bind(r.LINEAR,r.CLAMP_TO_EDGE)),this.tiles){var i=this.tiles[n];"loaded"!==i.state&&(i.state="loaded",i.texture=this.texture)}}},r.prototype.serialize=function(){return{type:"video",urls:this.urls,coordinates:this.coordinates}},r.prototype.hasTransition=function(){return this.video&&!this.video.paused},r}(I),z=function(e){function r(r,n,i,a){e.call(this,r,n,i,a),n.coordinates?Array.isArray(n.coordinates)&&4===n.coordinates.length&&!n.coordinates.some((function(t){return!Array.isArray(t)||2!==t.length||t.some((function(t){return"number"!=typeof t}))}))||this.fire(new t.ErrorEvent(new t.ValidationError("sources."+r,null,'"coordinates" property must be an array of 4 longitude/latitude array pairs'))):this.fire(new t.ErrorEvent(new t.ValidationError("sources."+r,null,'missing required property "coordinates"'))),n.animate&&"boolean"!=typeof n.animate&&this.fire(new t.ErrorEvent(new t.ValidationError("sources."+r,null,'optional "animate" property must be a boolean value'))),n.canvas?"string"==typeof n.canvas||n.canvas instanceof t.window.HTMLCanvasElement||this.fire(new t.ErrorEvent(new t.ValidationError("sources."+r,null,'"canvas" must be either a string representing the ID of the canvas element from which to read, or an HTMLCanvasElement instance'))):this.fire(new t.ErrorEvent(new t.ValidationError("sources."+r,null,'missing required property "canvas"'))),this.options=n,this.animate=void 0===n.animate||n.animate}return e&&(r.__proto__=e),r.prototype=Object.create(e&&e.prototype),r.prototype.constructor=r,r.prototype.load=function(){this._loaded=!0,this.canvas||(this.canvas=this.options.canvas instanceof t.window.HTMLCanvasElement?this.options.canvas:t.window.document.getElementById(this.options.canvas)),this.width=this.canvas.width,this.height=this.canvas.height,this._hasInvalidDimensions()?this.fire(new t.ErrorEvent(new Error("Canvas dimensions cannot be less than or equal to zero."))):(this.play=function(){this._playing=!0,this.map.triggerRepaint()},this.pause=function(){this._playing&&(this.prepare(),this._playing=!1)},this._finishLoading())},r.prototype.getCanvas=function(){return this.canvas},r.prototype.onAdd=function(t){this.map=t,this.load(),this.canvas&&this.animate&&this.play()},r.prototype.onRemove=function(){this.pause()},r.prototype.prepare=function(){var e=!1;if(this.canvas.width!==this.width&&(this.width=this.canvas.width,e=!0),this.canvas.height!==this.height&&(this.height=this.canvas.height,e=!0),!this._hasInvalidDimensions()&&0!==Object.keys(this.tiles).length){var r=this.map.painter.context,n=r.gl;for(var i in this.boundsBuffer||(this.boundsBuffer=r.createVertexBuffer(this._boundsArray,O.members)),this.boundsSegments||(this.boundsSegments=t.SegmentVector.simpleSegment(0,0,4,2)),this.texture?(e||this._playing)&&this.texture.update(this.canvas,{premultiply:!0}):this.texture=new t.Texture(r,this.canvas,n.RGBA,{premultiply:!0}),this.tiles){var a=this.tiles[i];"loaded"!==a.state&&(a.state="loaded",a.texture=this.texture)}}},r.prototype.serialize=function(){return{type:"canvas",coordinates:this.coordinates}},r.prototype.hasTransition=function(){return this._playing},r.prototype._hasInvalidDimensions=function(){for(var t=0,e=[this.canvas.width,this.canvas.height];tthis.max){var o=this._getAndRemoveByKey(this.order[0]);o&&this.onRemove(o)}return this},j.prototype.has=function(t){return t.wrapped().key in this.data},j.prototype.getAndRemove=function(t){return this.has(t)?this._getAndRemoveByKey(t.wrapped().key):null},j.prototype._getAndRemoveByKey=function(t){var e=this.data[t].shift();return e.timeout&&clearTimeout(e.timeout),0===this.data[t].length&&delete this.data[t],this.order.splice(this.order.indexOf(t),1),e.value},j.prototype.getByKey=function(t){var e=this.data[t];return e?e[0].value:null},j.prototype.get=function(t){return this.has(t)?this.data[t.wrapped().key][0].value:null},j.prototype.remove=function(t,e){if(!this.has(t))return this;var r=t.wrapped().key,n=void 0===e?0:this.data[r].indexOf(e),i=this.data[r][n];return this.data[r].splice(n,1),i.timeout&&clearTimeout(i.timeout),0===this.data[r].length&&delete this.data[r],this.onRemove(i.value),this.order.splice(this.order.indexOf(r),1),this},j.prototype.setMaxSize=function(t){for(this.max=t;this.order.length>this.max;){var e=this._getAndRemoveByKey(this.order[0]);e&&this.onRemove(e)}return this},j.prototype.filter=function(t){var e=[];for(var r in this.data)for(var n=0,i=this.data[r];n1||(Math.abs(r)>1&&(1===Math.abs(r+i)?r+=i:1===Math.abs(r-i)&&(r-=i)),e.dem&&t.dem&&(t.dem.backfillBorder(e.dem,r,n),t.neighboringTiles&&t.neighboringTiles[a]&&(t.neighboringTiles[a].backfilled=!0)))}},r.prototype.getTile=function(t){return this.getTileByID(t.key)},r.prototype.getTileByID=function(t){return this._tiles[t]},r.prototype._retainLoadedChildren=function(t,e,r,n){for(var i in this._tiles){var a=this._tiles[i];if(!(n[i]||!a.hasData()||a.tileID.overscaledZ<=e||a.tileID.overscaledZ>r)){for(var o=a.tileID;a&&a.tileID.overscaledZ>e+1;){var s=a.tileID.scaledTo(a.tileID.overscaledZ-1);(a=this._tiles[s.key])&&a.hasData()&&(o=s)}for(var l=o;l.overscaledZ>e;)if(t[(l=l.scaledTo(l.overscaledZ-1)).key]){n[o.key]=o;break}}}},r.prototype.findLoadedParent=function(t,e){if(t.key in this._loadedParentTiles){var r=this._loadedParentTiles[t.key];return r&&r.tileID.overscaledZ>=e?r:null}for(var n=t.overscaledZ-1;n>=e;n--){var i=t.scaledTo(n),a=this._getLoadedTile(i);if(a)return a}},r.prototype._getLoadedTile=function(t){var e=this._tiles[t.key];return e&&e.hasData()?e:this._cache.getByKey(t.wrapped().key)},r.prototype.updateCacheSize=function(t){var e=(Math.ceil(t.width/this._source.tileSize)+1)*(Math.ceil(t.height/this._source.tileSize)+1),r=Math.floor(5*e),n="number"==typeof this._maxTileCacheSize?Math.min(this._maxTileCacheSize,r):r;this._cache.setMaxSize(n)},r.prototype.handleWrapJump=function(t){var e=(t-(void 0===this._prevLng?t:this._prevLng))/360,r=Math.round(e);if(this._prevLng=t,r){var n={};for(var i in this._tiles){var a=this._tiles[i];a.tileID=a.tileID.unwrapTo(a.tileID.wrap+r),n[a.tileID.key]=a}for(var o in this._tiles=n,this._timers)clearTimeout(this._timers[o]),delete this._timers[o];for(var s in this._tiles){var l=this._tiles[s];this._setTileReloadTimer(s,l)}}},r.prototype.update=function(e){var n=this;if(this.transform=e,this._sourceLoaded&&!this._paused){var i;this.updateCacheSize(e),this.handleWrapJump(this.transform.center.lng),this._coveredTiles={},this.used?this._source.tileID?i=e.getVisibleUnwrappedCoordinates(this._source.tileID).map((function(e){return new t.OverscaledTileID(e.canonical.z,e.wrap,e.canonical.z,e.canonical.x,e.canonical.y)})):(i=e.coveringTiles({tileSize:this._source.tileSize,minzoom:this._source.minzoom,maxzoom:this._source.maxzoom,roundZoom:this._source.roundZoom,reparseOverscaled:this._source.reparseOverscaled}),this._source.hasTile&&(i=i.filter((function(t){return n._source.hasTile(t)})))):i=[];var a=e.coveringZoomLevel(this._source),o=Math.max(a-r.maxOverzooming,this._source.minzoom),s=Math.max(a+r.maxUnderzooming,this._source.minzoom),l=this._updateRetainedTiles(i,a);if(Dt(this._source.type)){for(var u={},c={},f=0,h=Object.keys(l);fthis._source.maxzoom){var g=d.children(this._source.maxzoom)[0],y=this.getTile(g);if(y&&y.hasData()){n[g.key]=g;continue}}else{var m=d.children(this._source.maxzoom);if(n[m[0].key]&&n[m[1].key]&&n[m[2].key]&&n[m[3].key])continue}for(var x=v.wasRequested(),b=d.overscaledZ-1;b>=a;--b){var _=d.scaledTo(b);if(i[_.key])break;if(i[_.key]=!0,!(v=this.getTile(_))&&x&&(v=this._addTile(_)),v&&(n[_.key]=_,x=v.wasRequested(),v.hasData()))break}}}return n},r.prototype._updateLoadedParentTileCache=function(){for(var t in this._loadedParentTiles={},this._tiles){for(var e=[],r=void 0,n=this._tiles[t].tileID;n.overscaledZ>0;){if(n.key in this._loadedParentTiles){r=this._loadedParentTiles[n.key];break}e.push(n.key);var i=n.scaledTo(n.overscaledZ-1);if(r=this._getLoadedTile(i))break;n=i}for(var a=0,o=e;a0||(e.hasData()&&"reloading"!==e.state?this._cache.add(e.tileID,e,e.getExpiryTimeout()):(e.aborted=!0,this._abortTile(e),this._unloadTile(e))))},r.prototype.clearTiles=function(){for(var t in this._shouldReloadOnResume=!1,this._paused=!1,this._tiles)this._removeTile(t);this._cache.reset()},r.prototype.tilesIn=function(e,r,n){var i=this,a=[],o=this.transform;if(!o)return a;for(var s=n?o.getCameraQueryGeometry(e):e,l=e.map((function(t){return o.pointCoordinate(t)})),u=s.map((function(t){return o.pointCoordinate(t)})),c=this.getIds(),f=1/0,h=1/0,p=-1/0,d=-1/0,v=0,g=u;v=0&&y[1].y+g>=0){var m=l.map((function(t){return s.getTilePoint(t)})),x=u.map((function(t){return s.getTilePoint(t)}));a.push({tile:n,tileID:s,queryGeometry:m,cameraQueryGeometry:x,scale:v})}}},x=0;x=t.browser.now())return!0}return!1},r.prototype.setFeatureState=function(t,e,r){t=t||"_geojsonTileLayer",this._state.updateState(t,e,r)},r.prototype.removeFeatureState=function(t,e,r){t=t||"_geojsonTileLayer",this._state.removeFeatureState(t,e,r)},r.prototype.getFeatureState=function(t,e){return t=t||"_geojsonTileLayer",this._state.getState(t,e)},r.prototype.setDependencies=function(t,e,r){var n=this._tiles[t];n&&n.setDependencies(e,r)},r.prototype.reloadTilesForDependencies=function(t,e){for(var r in this._tiles)this._tiles[r].hasDependency(t,e)&&this._reloadTile(r,"reloading");this._cache.filter((function(r){return!r.hasDependency(t,e)}))},r}(t.Evented);function It(t,e){var r=Math.abs(2*t.wrap)-+(t.wrap<0),n=Math.abs(2*e.wrap)-+(e.wrap<0);return t.overscaledZ-e.overscaledZ||n-r||e.canonical.y-t.canonical.y||e.canonical.x-t.canonical.x}function Dt(t){return"raster"===t||"image"===t||"video"===t}function zt(){return new t.window.Worker(oa.workerUrl)}Ot.maxOverzooming=10,Ot.maxUnderzooming=3;var Rt="mapboxgl_preloaded_worker_pool",Ft=function(){this.active={}};Ft.prototype.acquire=function(t){if(!this.workers)for(this.workers=[];this.workers.length0?(i-o)/s:0;return this.points[a].mult(1-l).add(this.points[r].mult(l))};var Qt=function(t,e,r){var n=this.boxCells=[],i=this.circleCells=[];this.xCellCount=Math.ceil(t/r),this.yCellCount=Math.ceil(e/r);for(var a=0;a=-e[0]&&r<=e[0]&&n>=-e[1]&&n<=e[1]}function ae(e,r,n,i,a,o,s,l){var u=i?e.textSizeData:e.iconSizeData,c=t.evaluateSizeForZoom(u,n.transform.zoom),f=[256/n.width*2+1,256/n.height*2+1],h=i?e.text.dynamicLayoutVertexArray:e.icon.dynamicLayoutVertexArray;h.clear();for(var p=e.lineVertexArray,d=i?e.text.placedSymbolArray:e.icon.placedSymbolArray,v=n.transform.width/n.transform.height,g=!1,y=0;yMath.abs(n.x-r.x)*i?{useVertical:!0}:(e===t.WritingMode.vertical?r.yn.x)?{needsFlipping:!0}:null}function le(e,r,n,i,a,o,s,l,u,c,f,h,p,d){var v,g=r/24,y=e.lineOffsetX*g,m=e.lineOffsetY*g;if(e.numGlyphs>1){var x=e.glyphStartIndex+e.numGlyphs,b=e.lineStartIndex,_=e.lineStartIndex+e.lineLength,w=oe(g,l,y,m,n,f,h,e,u,o,p);if(!w)return{notEnoughRoom:!0};var T=re(w.first.point,s).point,k=re(w.last.point,s).point;if(i&&!n){var A=se(e.writingMode,T,k,d);if(A)return A}v=[w.first];for(var M=e.glyphStartIndex+1;M0?C.point:ue(h,L,S,1,a),O=se(e.writingMode,S,P,d);if(O)return O}var I=ce(g*l.getoffsetX(e.glyphStartIndex),y,m,n,f,h,e.segment,e.lineStartIndex,e.lineStartIndex+e.lineLength,u,o,p);if(!I)return{notEnoughRoom:!0};v=[I]}for(var D=0,z=v;D0?1:-1,v=0;i&&(d*=-1,v=Math.PI),d<0&&(v+=Math.PI);for(var g=d>0?l+s:l+s+1,y=a,m=a,x=0,b=0,_=Math.abs(p),w=[];x+b<=_;){if((g+=d)=u)return null;if(m=y,w.push(y),void 0===(y=h[g])){var T=new t.Point(c.getx(g),c.gety(g)),k=re(T,f);if(k.signedDistanceFromCamera>0)y=h[g]=k.point;else{var A=g-d;y=ue(0===x?o:new t.Point(c.getx(A),c.gety(A)),T,m,_-x+1,f)}}x+=b,b=m.dist(y)}var M=(_-x)/b,S=y.sub(m),E=S.mult(M)._add(m);E._add(S._unit()._perp()._mult(n*d));var L=v+Math.atan2(y.y-m.y,y.x-m.x);return w.push(E),{point:E,angle:L,path:w}}Qt.prototype.keysLength=function(){return this.boxKeys.length+this.circleKeys.length},Qt.prototype.insert=function(t,e,r,n,i){this._forEachCell(e,r,n,i,this._insertBoxCell,this.boxUid++),this.boxKeys.push(t),this.bboxes.push(e),this.bboxes.push(r),this.bboxes.push(n),this.bboxes.push(i)},Qt.prototype.insertCircle=function(t,e,r,n){this._forEachCell(e-n,r-n,e+n,r+n,this._insertCircleCell,this.circleUid++),this.circleKeys.push(t),this.circles.push(e),this.circles.push(r),this.circles.push(n)},Qt.prototype._insertBoxCell=function(t,e,r,n,i,a){this.boxCells[i].push(a)},Qt.prototype._insertCircleCell=function(t,e,r,n,i,a){this.circleCells[i].push(a)},Qt.prototype._query=function(t,e,r,n,i,a){if(r<0||t>this.width||n<0||e>this.height)return!i&&[];var o=[];if(t<=0&&e<=0&&this.width<=r&&this.height<=n){if(i)return!0;for(var s=0;s0:o},Qt.prototype._queryCircle=function(t,e,r,n,i){var a=t-r,o=t+r,s=e-r,l=e+r;if(o<0||a>this.width||l<0||s>this.height)return!n&&[];var u=[],c={hitTest:n,circle:{x:t,y:e,radius:r},seenUids:{box:{},circle:{}}};return this._forEachCell(a,s,o,l,this._queryCellCircle,u,c,i),n?u.length>0:u},Qt.prototype.query=function(t,e,r,n,i){return this._query(t,e,r,n,!1,i)},Qt.prototype.hitTest=function(t,e,r,n,i){return this._query(t,e,r,n,!0,i)},Qt.prototype.hitTestCircle=function(t,e,r,n){return this._queryCircle(t,e,r,!0,n)},Qt.prototype._queryCell=function(t,e,r,n,i,a,o,s){var l=o.seenUids,u=this.boxCells[i];if(null!==u)for(var c=this.bboxes,f=0,h=u;f=c[d+0]&&n>=c[d+1]&&(!s||s(this.boxKeys[p]))){if(o.hitTest)return a.push(!0),!0;a.push({key:this.boxKeys[p],x1:c[d],y1:c[d+1],x2:c[d+2],y2:c[d+3]})}}}var v=this.circleCells[i];if(null!==v)for(var g=this.circles,y=0,m=v;yo*o+s*s},Qt.prototype._circleAndRectCollide=function(t,e,r,n,i,a,o){var s=(a-n)/2,l=Math.abs(t-(n+s));if(l>s+r)return!1;var u=(o-i)/2,c=Math.abs(e-(i+u));if(c>u+r)return!1;if(l<=s||c<=u)return!0;var f=l-s,h=c-u;return f*f+h*h<=r*r};var fe=new Float32Array([-1/0,-1/0,0,-1/0,-1/0,0,-1/0,-1/0,0,-1/0,-1/0,0]);function he(t,e){for(var r=0;r=1;P--)C.push(E.path[P]);for(var O=1;O0){for(var R=C[0].clone(),F=C[0].clone(),B=1;B=A.x&&F.x<=M.x&&R.y>=A.y&&F.y<=M.y?[C]:F.xM.x||F.yM.y?[]:t.clipLine([C],A.x,A.y,M.x,M.y)}for(var N=0,j=z;N=this.screenRightBoundary||nthis.screenBottomBoundary},ve.prototype.isInsideGrid=function(t,e,r,n){return r>=0&&t=0&&e0?(this.prevPlacement&&this.prevPlacement.variableOffsets[f.crossTileID]&&this.prevPlacement.placements[f.crossTileID]&&this.prevPlacement.placements[f.crossTileID].text&&(v=this.prevPlacement.variableOffsets[f.crossTileID].anchor),this.variableOffsets[f.crossTileID]={textOffset:g,width:r,height:n,anchor:t,textBoxScale:i,prevAnchor:v},this.markUsedJustification(h,t,f,p),h.allowVerticalPlacement&&(this.markUsedOrientation(h,p,f),this.placedOrientations[f.crossTileID]=p),{shift:y,placedGlyphBoxes:m}):void 0},Ae.prototype.placeLayerBucketPart=function(e,r,n){var i=this,a=e.parameters,o=a.bucket,s=a.layout,l=a.posMatrix,u=a.textLabelPlaneMatrix,c=a.labelToScreenMatrix,f=a.textPixelRatio,h=a.holdingForFade,p=a.collisionBoxArray,d=a.partiallyEvaluatedTextSize,v=a.collisionGroup,g=s.get("text-optional"),y=s.get("icon-optional"),m=s.get("text-allow-overlap"),x=s.get("icon-allow-overlap"),b="map"===s.get("text-rotation-alignment"),_="map"===s.get("text-pitch-alignment"),w="none"!==s.get("icon-text-fit"),T="viewport-y"===s.get("symbol-z-order"),k=m&&(x||!o.hasIconData()||y),A=x&&(m||!o.hasTextData()||g);!o.collisionArrays&&p&&o.deserializeCollisionBoxes(p);var M=function(e,a){if(!r[e.crossTileID])if(h)i.placements[e.crossTileID]=new xe(!1,!1,!1);else{var p,T=!1,M=!1,S=!0,E=null,L={box:null,offscreen:null},C={box:null,offscreen:null},P=null,O=null,I=0,D=0,z=0;a.textFeatureIndex?I=a.textFeatureIndex:e.useRuntimeCollisionCircles&&(I=e.featureIndex),a.verticalTextFeatureIndex&&(D=a.verticalTextFeatureIndex);var R=a.textBox;if(R){var F=function(r){var n=t.WritingMode.horizontal;if(o.allowVerticalPlacement&&!r&&i.prevPlacement){var a=i.prevPlacement.placedOrientations[e.crossTileID];a&&(i.placedOrientations[e.crossTileID]=a,n=a,i.markUsedOrientation(o,n,e))}return n},B=function(r,n){if(o.allowVerticalPlacement&&e.numVerticalGlyphVertices>0&&a.verticalTextBox)for(var i=0,s=o.writingModes;i0&&(N=N.filter((function(t){return t!==j.anchor}))).unshift(j.anchor)}var U=function(t,r,n){for(var a=t.x2-t.x1,s=t.y2-t.y1,u=e.textBoxScale,c=w&&!x?r:null,h={box:[],offscreen:!1},p=m?2*N.length:N.length,d=0;d=N.length,k=i.attemptAnchorPlacement(g,t,a,s,u,b,_,f,l,v,y,e,o,n,c);if(k&&(h=k.placedGlyphBoxes)&&h.box&&h.box.length){T=!0,E=k.shift;break}}return h};B((function(){return U(R,a.iconBox,t.WritingMode.horizontal)}),(function(){var r=a.verticalTextBox,n=L&&L.box&&L.box.length;return o.allowVerticalPlacement&&!n&&e.numVerticalGlyphVertices>0&&r?U(r,a.verticalIconBox,t.WritingMode.vertical):{box:null,offscreen:null}})),L&&(T=L.box,S=L.offscreen);var V=F(L&&L.box);if(!T&&i.prevPlacement){var q=i.prevPlacement.variableOffsets[e.crossTileID];q&&(i.variableOffsets[e.crossTileID]=q,i.markUsedJustification(o,q.anchor,e,V))}}else{var H=function(t,r){var n=i.collisionIndex.placeCollisionBox(t,m,f,l,v.predicate);return n&&n.box&&n.box.length&&(i.markUsedOrientation(o,r,e),i.placedOrientations[e.crossTileID]=r),n};B((function(){return H(R,t.WritingMode.horizontal)}),(function(){var r=a.verticalTextBox;return o.allowVerticalPlacement&&e.numVerticalGlyphVertices>0&&r?H(r,t.WritingMode.vertical):{box:null,offscreen:null}})),F(L&&L.box&&L.box.length)}}if(T=(p=L)&&p.box&&p.box.length>0,S=p&&p.offscreen,e.useRuntimeCollisionCircles){var G=o.text.placedSymbolArray.get(e.centerJustifiedTextSymbolIndex),W=t.evaluateSizeForFeature(o.textSizeData,d,G),Y=s.get("text-padding"),X=e.collisionCircleDiameter;P=i.collisionIndex.placeCollisionCircles(m,G,o.lineVertexArray,o.glyphOffsetArray,W,l,u,c,n,_,v.predicate,X,Y),T=m||P.circles.length>0&&!P.collisionDetected,S=S&&P.offscreen}if(a.iconFeatureIndex&&(z=a.iconFeatureIndex),a.iconBox){var Z=function(t){var e=w&&E?ke(t,E.x,E.y,b,_,i.transform.angle):t;return i.collisionIndex.placeCollisionBox(e,x,f,l,v.predicate)};M=C&&C.box&&C.box.length&&a.verticalIconBox?(O=Z(a.verticalIconBox)).box.length>0:(O=Z(a.iconBox)).box.length>0,S=S&&O.offscreen}var K=g||0===e.numHorizontalGlyphVertices&&0===e.numVerticalGlyphVertices,J=y||0===e.numIconVertices;if(K||J?J?K||(M=M&&T):T=M&&T:M=T=M&&T,T&&p&&p.box&&(C&&C.box&&D?i.collisionIndex.insertCollisionBox(p.box,s.get("text-ignore-placement"),o.bucketInstanceId,D,v.ID):i.collisionIndex.insertCollisionBox(p.box,s.get("text-ignore-placement"),o.bucketInstanceId,I,v.ID)),M&&O&&i.collisionIndex.insertCollisionBox(O.box,s.get("icon-ignore-placement"),o.bucketInstanceId,z,v.ID),P&&(T&&i.collisionIndex.insertCollisionCircles(P.circles,s.get("text-ignore-placement"),o.bucketInstanceId,I,v.ID),n)){var $=o.bucketInstanceId,Q=i.collisionCircleArrays[$];void 0===Q&&(Q=i.collisionCircleArrays[$]=new be);for(var tt=0;tt=0;--E){var L=S[E];M(o.symbolInstances.get(L),o.collisionArrays[L])}else for(var C=e.symbolInstanceStart;C=0&&(e.text.placedSymbolArray.get(u).crossTileID=a>=0&&u!==a?0:n.crossTileID)}},Ae.prototype.markUsedOrientation=function(e,r,n){for(var i=r===t.WritingMode.horizontal||r===t.WritingMode.horizontalOnly?r:0,a=r===t.WritingMode.vertical?r:0,o=0,s=[n.leftJustifiedTextSymbolIndex,n.centerJustifiedTextSymbolIndex,n.rightJustifiedTextSymbolIndex];o0||l>0,x=a.numIconVertices>0,b=i.placedOrientations[a.crossTileID],_=b===t.WritingMode.vertical,w=b===t.WritingMode.horizontal||b===t.WritingMode.horizontalOnly;if(m){var T=De(y.text),k=_?ze:T;d(e.text,s,k);var A=w?ze:T;d(e.text,l,A);var M=y.text.isHidden();[a.rightJustifiedTextSymbolIndex,a.centerJustifiedTextSymbolIndex,a.leftJustifiedTextSymbolIndex].forEach((function(t){t>=0&&(e.text.placedSymbolArray.get(t).hidden=M||_?1:0)})),a.verticalPlacedTextSymbolIndex>=0&&(e.text.placedSymbolArray.get(a.verticalPlacedTextSymbolIndex).hidden=M||w?1:0);var S=i.variableOffsets[a.crossTileID];S&&i.markUsedJustification(e,S.anchor,a,b);var E=i.placedOrientations[a.crossTileID];E&&(i.markUsedJustification(e,"left",a,E),i.markUsedOrientation(e,E,a))}if(x){var L=De(y.icon),C=!(h&&a.verticalPlacedIconSymbolIndex&&_);if(a.placedIconSymbolIndex>=0){var P=C?L:ze;d(e.icon,a.numIconVertices,P),e.icon.placedSymbolArray.get(a.placedIconSymbolIndex).hidden=y.icon.isHidden()}if(a.verticalPlacedIconSymbolIndex>=0){var O=C?ze:L;d(e.icon,a.numVerticalIconVertices,O),e.icon.placedSymbolArray.get(a.verticalPlacedIconSymbolIndex).hidden=y.icon.isHidden()}}if(e.hasIconCollisionBoxData()||e.hasTextCollisionBoxData()){var I=e.collisionArrays[n];if(I){var D=new t.Point(0,0);if(I.textBox||I.verticalTextBox){var z=!0;if(u){var R=i.variableOffsets[v];R?(D=Te(R.anchor,R.width,R.height,R.textOffset,R.textBoxScale),c&&D._rotate(f?i.transform.angle:-i.transform.angle)):z=!1}I.textBox&&Me(e.textCollisionBox.collisionVertexArray,y.text.placed,!z||_,D.x,D.y),I.verticalTextBox&&Me(e.textCollisionBox.collisionVertexArray,y.text.placed,!z||w,D.x,D.y)}var F=Boolean(!w&&I.verticalIconBox);I.iconBox&&Me(e.iconCollisionBox.collisionVertexArray,y.icon.placed,F,h?D.x:0,h?D.y:0),I.verticalIconBox&&Me(e.iconCollisionBox.collisionVertexArray,y.icon.placed,!F,h?D.x:0,h?D.y:0)}}},g=0;gt},Ae.prototype.setStale=function(){this.stale=!0};var Se=Math.pow(2,25),Ee=Math.pow(2,24),Le=Math.pow(2,17),Ce=Math.pow(2,16),Pe=Math.pow(2,9),Oe=Math.pow(2,8),Ie=Math.pow(2,1);function De(t){if(0===t.opacity&&!t.placed)return 0;if(1===t.opacity&&t.placed)return 4294967295;var e=t.placed?1:0,r=Math.floor(127*t.opacity);return r*Se+e*Ee+r*Le+e*Ce+r*Pe+e*Oe+r*Ie+e}var ze=0,Re=function(t){this._sortAcrossTiles="viewport-y"!==t.layout.get("symbol-z-order")&&void 0!==t.layout.get("symbol-sort-key").constantOr(1),this._currentTileIndex=0,this._currentPartIndex=0,this._seenCrossTileIDs={},this._bucketParts=[]};Re.prototype.continuePlacement=function(t,e,r,n,i){for(var a=this._bucketParts;this._currentTileIndex2};this._currentPlacementIndex>=0;){var s=r[e[this._currentPlacementIndex]],l=this.placement.collisionIndex.transform.zoom;if("symbol"===s.type&&(!s.minzoom||s.minzoom<=l)&&(!s.maxzoom||s.maxzoom>l)){if(this._inProgressLayer||(this._inProgressLayer=new Re(s)),this._inProgressLayer.continuePlacement(n[s.source],this.placement,this._showCollisionBoxes,s,o))return;delete this._inProgressLayer}this._currentPlacementIndex--}this._done=!0},Fe.prototype.commit=function(t){return this.placement.commit(t),this.placement};var Be=512/t.EXTENT/2,Ne=function(t,e,r){this.tileID=t,this.indexedSymbolInstances={},this.bucketInstanceId=r;for(var n=0;nt.overscaledZ)for(var s in o){var l=o[s];l.tileID.isChildOf(t)&&l.findMatches(e.symbolInstances,t,i)}else{var u=o[t.scaledTo(Number(a)).key];u&&u.findMatches(e.symbolInstances,t,i)}}for(var c=0;c1?"@2x":"",l=t.getJSON(r.transformRequest(r.normalizeSpriteURL(e,s,".json"),t.ResourceType.SpriteJSON),(function(t,e){l=null,o||(o=t,i=e,c())})),u=t.getImage(r.transformRequest(r.normalizeSpriteURL(e,s,".png"),t.ResourceType.SpriteImage),(function(t,e){u=null,o||(o=t,a=e,c())}));function c(){if(o)n(o);else if(i&&a){var e=t.browser.getImageData(a),r={};for(var s in i){var l=i[s],u=l.width,c=l.height,f=l.x,h=l.y,p=l.sdf,d=l.pixelRatio,v=l.stretchX,g=l.stretchY,y=l.content,m=new t.RGBAImage({width:u,height:c});t.RGBAImage.copy(e,m,{x:f,y:h},{x:0,y:0},{width:u,height:c}),r[s]={data:m,pixelRatio:d,sdf:p,stretchX:v,stretchY:g,content:y}}n(null,r)}}return{cancel:function(){l&&(l.cancel(),l=null),u&&(u.cancel(),u=null)}}}(e,this.map._requestManager,(function(e,n){if(r._spriteRequest=null,e)r.fire(new t.ErrorEvent(e));else if(n)for(var i in n)r.imageManager.addImage(i,n[i]);r.imageManager.setLoaded(!0),r._availableImages=r.imageManager.listImages(),r.dispatcher.broadcast("setImages",r._availableImages),r.fire(new t.Event("data",{dataType:"style"}))}))},r.prototype._validateLayer=function(e){var r=this.sourceCaches[e.source];if(r){var n=e.sourceLayer;if(n){var i=r.getSource();("geojson"===i.type||i.vectorLayerIds&&-1===i.vectorLayerIds.indexOf(n))&&this.fire(new t.ErrorEvent(new Error('Source layer "'+n+'" does not exist on source "'+i.id+'" as specified by style layer "'+e.id+'"')))}}},r.prototype.loaded=function(){if(!this._loaded)return!1;if(Object.keys(this._updatedSources).length)return!1;for(var t in this.sourceCaches)if(!this.sourceCaches[t].loaded())return!1;return!!this.imageManager.isLoaded()},r.prototype._serializeLayers=function(t){for(var e=[],r=0,n=t;r0)throw new Error("Unimplemented: "+i.map((function(t){return t.command})).join(", ")+".");return n.forEach((function(t){"setTransition"!==t.command&&r[t.command].apply(r,t.args)})),this.stylesheet=e,!0},r.prototype.addImage=function(e,r){if(this.getImage(e))return this.fire(new t.ErrorEvent(new Error("An image with this name already exists.")));this.imageManager.addImage(e,r),this._afterImageUpdated(e)},r.prototype.updateImage=function(t,e){this.imageManager.updateImage(t,e)},r.prototype.getImage=function(t){return this.imageManager.getImage(t)},r.prototype.removeImage=function(e){if(!this.getImage(e))return this.fire(new t.ErrorEvent(new Error("No image with this name exists.")));this.imageManager.removeImage(e),this._afterImageUpdated(e)},r.prototype._afterImageUpdated=function(e){this._availableImages=this.imageManager.listImages(),this._changedImages[e]=!0,this._changed=!0,this.dispatcher.broadcast("setImages",this._availableImages),this.fire(new t.Event("data",{dataType:"style"}))},r.prototype.listImages=function(){return this._checkLoaded(),this.imageManager.listImages()},r.prototype.addSource=function(e,r,n){var i=this;if(void 0===n&&(n={}),this._checkLoaded(),void 0!==this.sourceCaches[e])throw new Error("There is already a source with this ID");if(!r.type)throw new Error("The type property must be defined, but only the following properties were given: "+Object.keys(r).join(", ")+".");if(!(["vector","raster","geojson","video","image"].indexOf(r.type)>=0&&this._validate(t.validateStyle.source,"sources."+e,r,null,n))){this.map&&this.map._collectResourceTiming&&(r.collectResourceTiming=!0);var a=this.sourceCaches[e]=new Ot(e,r,this.dispatcher);a.style=this,a.setEventedParent(this,(function(){return{isSourceLoaded:i.loaded(),source:a.serialize(),sourceId:e}})),a.onAdd(this.map),this._changed=!0}},r.prototype.removeSource=function(e){if(this._checkLoaded(),void 0===this.sourceCaches[e])throw new Error("There is no source with this ID");for(var r in this._layers)if(this._layers[r].source===e)return this.fire(new t.ErrorEvent(new Error('Source "'+e+'" cannot be removed while layer "'+r+'" is using it.')));var n=this.sourceCaches[e];delete this.sourceCaches[e],delete this._updatedSources[e],n.fire(new t.Event("data",{sourceDataType:"metadata",dataType:"source",sourceId:e})),n.setEventedParent(null),n.clearTiles(),n.onRemove&&n.onRemove(this.map),this._changed=!0},r.prototype.setGeoJSONSourceData=function(t,e){this._checkLoaded(),this.sourceCaches[t].getSource().setData(e),this._changed=!0},r.prototype.getSource=function(t){return this.sourceCaches[t]&&this.sourceCaches[t].getSource()},r.prototype.addLayer=function(e,r,n){void 0===n&&(n={}),this._checkLoaded();var i=e.id;if(this.getLayer(i))this.fire(new t.ErrorEvent(new Error('Layer with id "'+i+'" already exists on this map')));else{var a;if("custom"===e.type){if(qe(this,t.validateCustomStyleLayer(e)))return;a=t.createStyleLayer(e)}else{if("object"==typeof e.source&&(this.addSource(i,e.source),e=t.clone$1(e),e=t.extend(e,{source:i})),this._validate(t.validateStyle.layer,"layers."+i,e,{arrayIndex:-1},n))return;a=t.createStyleLayer(e),this._validateLayer(a),a.setEventedParent(this,{layer:{id:i}}),this._serializedLayers[a.id]=a.serialize()}var o=r?this._order.indexOf(r):this._order.length;if(r&&-1===o)this.fire(new t.ErrorEvent(new Error('Layer with id "'+r+'" does not exist on this map.')));else{if(this._order.splice(o,0,i),this._layerOrderChanged=!0,this._layers[i]=a,this._removedLayers[i]&&a.source&&"custom"!==a.type){var s=this._removedLayers[i];delete this._removedLayers[i],s.type!==a.type?this._updatedSources[a.source]="clear":(this._updatedSources[a.source]="reload",this.sourceCaches[a.source].pause())}this._updateLayer(a),a.onAdd&&a.onAdd(this.map)}}},r.prototype.moveLayer=function(e,r){if(this._checkLoaded(),this._changed=!0,this._layers[e]){if(e!==r){var n=this._order.indexOf(e);this._order.splice(n,1);var i=r?this._order.indexOf(r):this._order.length;r&&-1===i?this.fire(new t.ErrorEvent(new Error('Layer with id "'+r+'" does not exist on this map.'))):(this._order.splice(i,0,e),this._layerOrderChanged=!0)}}else this.fire(new t.ErrorEvent(new Error("The layer '"+e+"' does not exist in the map's style and cannot be moved.")))},r.prototype.removeLayer=function(e){this._checkLoaded();var r=this._layers[e];if(r){r.setEventedParent(null);var n=this._order.indexOf(e);this._order.splice(n,1),this._layerOrderChanged=!0,this._changed=!0,this._removedLayers[e]=r,delete this._layers[e],delete this._serializedLayers[e],delete this._updatedLayers[e],delete this._updatedPaintProps[e],r.onRemove&&r.onRemove(this.map)}else this.fire(new t.ErrorEvent(new Error("The layer '"+e+"' does not exist in the map's style and cannot be removed.")))},r.prototype.getLayer=function(t){return this._layers[t]},r.prototype.hasLayer=function(t){return t in this._layers},r.prototype.setLayerZoomRange=function(e,r,n){this._checkLoaded();var i=this.getLayer(e);i?i.minzoom===r&&i.maxzoom===n||(null!=r&&(i.minzoom=r),null!=n&&(i.maxzoom=n),this._updateLayer(i)):this.fire(new t.ErrorEvent(new Error("The layer '"+e+"' does not exist in the map's style and cannot have zoom extent.")))},r.prototype.setFilter=function(e,r,n){void 0===n&&(n={}),this._checkLoaded();var i=this.getLayer(e);if(i){if(!t.deepEqual(i.filter,r))return null==r?(i.filter=void 0,void this._updateLayer(i)):void(this._validate(t.validateStyle.filter,"layers."+i.id+".filter",r,null,n)||(i.filter=t.clone$1(r),this._updateLayer(i)))}else this.fire(new t.ErrorEvent(new Error("The layer '"+e+"' does not exist in the map's style and cannot be filtered.")))},r.prototype.getFilter=function(e){return t.clone$1(this.getLayer(e).filter)},r.prototype.setLayoutProperty=function(e,r,n,i){void 0===i&&(i={}),this._checkLoaded();var a=this.getLayer(e);a?t.deepEqual(a.getLayoutProperty(r),n)||(a.setLayoutProperty(r,n,i),this._updateLayer(a)):this.fire(new t.ErrorEvent(new Error("The layer '"+e+"' does not exist in the map's style and cannot be styled.")))},r.prototype.getLayoutProperty=function(e,r){var n=this.getLayer(e);if(n)return n.getLayoutProperty(r);this.fire(new t.ErrorEvent(new Error("The layer '"+e+"' does not exist in the map's style.")))},r.prototype.setPaintProperty=function(e,r,n,i){void 0===i&&(i={}),this._checkLoaded();var a=this.getLayer(e);a?t.deepEqual(a.getPaintProperty(r),n)||(a.setPaintProperty(r,n,i)&&this._updateLayer(a),this._changed=!0,this._updatedPaintProps[e]=!0):this.fire(new t.ErrorEvent(new Error("The layer '"+e+"' does not exist in the map's style and cannot be styled.")))},r.prototype.getPaintProperty=function(t,e){return this.getLayer(t).getPaintProperty(e)},r.prototype.setFeatureState=function(e,r){this._checkLoaded();var n=e.source,i=e.sourceLayer,a=this.sourceCaches[n];if(void 0!==a){var o=a.getSource().type;"geojson"===o&&i?this.fire(new t.ErrorEvent(new Error("GeoJSON sources cannot have a sourceLayer parameter."))):"vector"!==o||i?(void 0===e.id&&this.fire(new t.ErrorEvent(new Error("The feature id parameter must be provided."))),a.setFeatureState(i,e.id,r)):this.fire(new t.ErrorEvent(new Error("The sourceLayer parameter must be provided for vector source types.")))}else this.fire(new t.ErrorEvent(new Error("The source '"+n+"' does not exist in the map's style.")))},r.prototype.removeFeatureState=function(e,r){this._checkLoaded();var n=e.source,i=this.sourceCaches[n];if(void 0!==i){var a=i.getSource().type,o="vector"===a?e.sourceLayer:void 0;"vector"!==a||o?r&&"string"!=typeof e.id&&"number"!=typeof e.id?this.fire(new t.ErrorEvent(new Error("A feature id is required to remove its specific state property."))):i.removeFeatureState(o,e.id,r):this.fire(new t.ErrorEvent(new Error("The sourceLayer parameter must be provided for vector source types.")))}else this.fire(new t.ErrorEvent(new Error("The source '"+n+"' does not exist in the map's style.")))},r.prototype.getFeatureState=function(e){this._checkLoaded();var r=e.source,n=e.sourceLayer,i=this.sourceCaches[r];if(void 0!==i){if("vector"!==i.getSource().type||n)return void 0===e.id&&this.fire(new t.ErrorEvent(new Error("The feature id parameter must be provided."))),i.getFeatureState(n,e.id);this.fire(new t.ErrorEvent(new Error("The sourceLayer parameter must be provided for vector source types.")))}else this.fire(new t.ErrorEvent(new Error("The source '"+r+"' does not exist in the map's style.")))},r.prototype.getTransition=function(){return t.extend({duration:300,delay:0},this.stylesheet&&this.stylesheet.transition)},r.prototype.serialize=function(){return t.filterObject({version:this.stylesheet.version,name:this.stylesheet.name,metadata:this.stylesheet.metadata,light:this.stylesheet.light,center:this.stylesheet.center,zoom:this.stylesheet.zoom,bearing:this.stylesheet.bearing,pitch:this.stylesheet.pitch,sprite:this.stylesheet.sprite,glyphs:this.stylesheet.glyphs,transition:this.stylesheet.transition,sources:t.mapObject(this.sourceCaches,(function(t){return t.serialize()})),layers:this._serializeLayers(this._order)},(function(t){return void 0!==t}))},r.prototype._updateLayer=function(t){this._updatedLayers[t.id]=!0,t.source&&!this._updatedSources[t.source]&&"raster"!==this.sourceCaches[t.source].getSource().type&&(this._updatedSources[t.source]="reload",this.sourceCaches[t.source].pause()),this._changed=!0},r.prototype._flattenAndSortRenderedFeatures=function(t){for(var e=this,r=function(t){return"fill-extrusion"===e._layers[t].type},n={},i=[],a=this._order.length-1;a>=0;a--){var o=this._order[a];if(r(o)){n[o]=a;for(var s=0,l=t;s=0;d--){var v=this._order[d];if(r(v))for(var g=i.length-1;g>=0;g--){var y=i[g].feature;if(n[y.layer.id] 0.5) {gl_FragColor=vec4(0.0,0.0,1.0,0.5)*alpha;}if (v_notUsed > 0.5) {gl_FragColor*=.1;}}","attribute vec2 a_pos;attribute vec2 a_anchor_pos;attribute vec2 a_extrude;attribute vec2 a_placed;attribute vec2 a_shift;uniform mat4 u_matrix;uniform vec2 u_extrude_scale;uniform float u_camera_to_center_distance;varying float v_placed;varying float v_notUsed;void main() {vec4 projectedPoint=u_matrix*vec4(a_anchor_pos,0,1);highp float camera_to_anchor_distance=projectedPoint.w;highp float collision_perspective_ratio=clamp(0.5+0.5*(u_camera_to_center_distance/camera_to_anchor_distance),0.0,4.0);gl_Position=u_matrix*vec4(a_pos,0.0,1.0);gl_Position.xy+=(a_extrude+a_shift)*u_extrude_scale*gl_Position.w*collision_perspective_ratio;v_placed=a_placed.x;v_notUsed=a_placed.y;}"),nr=_r("varying float v_radius;varying vec2 v_extrude;varying float v_perspective_ratio;varying float v_collision;void main() {float alpha=0.5*min(v_perspective_ratio,1.0);float stroke_radius=0.9*max(v_perspective_ratio,1.0);float distance_to_center=length(v_extrude);float distance_to_edge=abs(distance_to_center-v_radius);float opacity_t=smoothstep(-stroke_radius,0.0,-distance_to_edge);vec4 color=mix(vec4(0.0,0.0,1.0,0.5),vec4(1.0,0.0,0.0,1.0),v_collision);gl_FragColor=color*alpha*opacity_t;}","attribute vec2 a_pos;attribute float a_radius;attribute vec2 a_flags;uniform mat4 u_matrix;uniform mat4 u_inv_matrix;uniform vec2 u_viewport_size;uniform float u_camera_to_center_distance;varying float v_radius;varying vec2 v_extrude;varying float v_perspective_ratio;varying float v_collision;vec3 toTilePosition(vec2 screenPos) {vec4 rayStart=u_inv_matrix*vec4(screenPos,-1.0,1.0);vec4 rayEnd =u_inv_matrix*vec4(screenPos, 1.0,1.0);rayStart.xyz/=rayStart.w;rayEnd.xyz /=rayEnd.w;highp float t=(0.0-rayStart.z)/(rayEnd.z-rayStart.z);return mix(rayStart.xyz,rayEnd.xyz,t);}void main() {vec2 quadCenterPos=a_pos;float radius=a_radius;float collision=a_flags.x;float vertexIdx=a_flags.y;vec2 quadVertexOffset=vec2(mix(-1.0,1.0,float(vertexIdx >=2.0)),mix(-1.0,1.0,float(vertexIdx >=1.0 && vertexIdx <=2.0)));vec2 quadVertexExtent=quadVertexOffset*radius;vec3 tilePos=toTilePosition(quadCenterPos);vec4 clipPos=u_matrix*vec4(tilePos,1.0);highp float camera_to_anchor_distance=clipPos.w;highp float collision_perspective_ratio=clamp(0.5+0.5*(u_camera_to_center_distance/camera_to_anchor_distance),0.0,4.0);float padding_factor=1.2;v_radius=radius;v_extrude=quadVertexExtent*padding_factor;v_perspective_ratio=collision_perspective_ratio;v_collision=collision;gl_Position=vec4(clipPos.xyz/clipPos.w,1.0)+vec4(quadVertexExtent*padding_factor/u_viewport_size*2.0,0.0,0.0);}"),ir=_r("uniform highp vec4 u_color;uniform sampler2D u_overlay;varying vec2 v_uv;void main() {vec4 overlay_color=texture2D(u_overlay,v_uv);gl_FragColor=mix(u_color,overlay_color,overlay_color.a);}","attribute vec2 a_pos;varying vec2 v_uv;uniform mat4 u_matrix;uniform float u_overlay_scale;void main() {v_uv=a_pos/8192.0;gl_Position=u_matrix*vec4(a_pos*u_overlay_scale,0,1);}"),ar=_r("#pragma mapbox: define highp vec4 color\n#pragma mapbox: define lowp float opacity\nvoid main() {\n#pragma mapbox: initialize highp vec4 color\n#pragma mapbox: initialize lowp float opacity\ngl_FragColor=color*opacity;\n#ifdef OVERDRAW_INSPECTOR\ngl_FragColor=vec4(1.0);\n#endif\n}","attribute vec2 a_pos;uniform mat4 u_matrix;\n#pragma mapbox: define highp vec4 color\n#pragma mapbox: define lowp float opacity\nvoid main() {\n#pragma mapbox: initialize highp vec4 color\n#pragma mapbox: initialize lowp float opacity\ngl_Position=u_matrix*vec4(a_pos,0,1);}"),or=_r("varying vec2 v_pos;\n#pragma mapbox: define highp vec4 outline_color\n#pragma mapbox: define lowp float opacity\nvoid main() {\n#pragma mapbox: initialize highp vec4 outline_color\n#pragma mapbox: initialize lowp float opacity\nfloat dist=length(v_pos-gl_FragCoord.xy);float alpha=1.0-smoothstep(0.0,1.0,dist);gl_FragColor=outline_color*(alpha*opacity);\n#ifdef OVERDRAW_INSPECTOR\ngl_FragColor=vec4(1.0);\n#endif\n}","attribute vec2 a_pos;uniform mat4 u_matrix;uniform vec2 u_world;varying vec2 v_pos;\n#pragma mapbox: define highp vec4 outline_color\n#pragma mapbox: define lowp float opacity\nvoid main() {\n#pragma mapbox: initialize highp vec4 outline_color\n#pragma mapbox: initialize lowp float opacity\ngl_Position=u_matrix*vec4(a_pos,0,1);v_pos=(gl_Position.xy/gl_Position.w+1.0)/2.0*u_world;}"),sr=_r("uniform vec2 u_texsize;uniform sampler2D u_image;uniform float u_fade;varying vec2 v_pos_a;varying vec2 v_pos_b;varying vec2 v_pos;\n#pragma mapbox: define lowp float opacity\n#pragma mapbox: define lowp vec4 pattern_from\n#pragma mapbox: define lowp vec4 pattern_to\nvoid main() {\n#pragma mapbox: initialize lowp float opacity\n#pragma mapbox: initialize mediump vec4 pattern_from\n#pragma mapbox: initialize mediump vec4 pattern_to\nvec2 pattern_tl_a=pattern_from.xy;vec2 pattern_br_a=pattern_from.zw;vec2 pattern_tl_b=pattern_to.xy;vec2 pattern_br_b=pattern_to.zw;vec2 imagecoord=mod(v_pos_a,1.0);vec2 pos=mix(pattern_tl_a/u_texsize,pattern_br_a/u_texsize,imagecoord);vec4 color1=texture2D(u_image,pos);vec2 imagecoord_b=mod(v_pos_b,1.0);vec2 pos2=mix(pattern_tl_b/u_texsize,pattern_br_b/u_texsize,imagecoord_b);vec4 color2=texture2D(u_image,pos2);float dist=length(v_pos-gl_FragCoord.xy);float alpha=1.0-smoothstep(0.0,1.0,dist);gl_FragColor=mix(color1,color2,u_fade)*alpha*opacity;\n#ifdef OVERDRAW_INSPECTOR\ngl_FragColor=vec4(1.0);\n#endif\n}","uniform mat4 u_matrix;uniform vec2 u_world;uniform vec2 u_pixel_coord_upper;uniform vec2 u_pixel_coord_lower;uniform vec3 u_scale;attribute vec2 a_pos;varying vec2 v_pos_a;varying vec2 v_pos_b;varying vec2 v_pos;\n#pragma mapbox: define lowp float opacity\n#pragma mapbox: define lowp vec4 pattern_from\n#pragma mapbox: define lowp vec4 pattern_to\n#pragma mapbox: define lowp float pixel_ratio_from\n#pragma mapbox: define lowp float pixel_ratio_to\nvoid main() {\n#pragma mapbox: initialize lowp float opacity\n#pragma mapbox: initialize mediump vec4 pattern_from\n#pragma mapbox: initialize mediump vec4 pattern_to\n#pragma mapbox: initialize lowp float pixel_ratio_from\n#pragma mapbox: initialize lowp float pixel_ratio_to\nvec2 pattern_tl_a=pattern_from.xy;vec2 pattern_br_a=pattern_from.zw;vec2 pattern_tl_b=pattern_to.xy;vec2 pattern_br_b=pattern_to.zw;float tileRatio=u_scale.x;float fromScale=u_scale.y;float toScale=u_scale.z;gl_Position=u_matrix*vec4(a_pos,0,1);vec2 display_size_a=(pattern_br_a-pattern_tl_a)/pixel_ratio_from;vec2 display_size_b=(pattern_br_b-pattern_tl_b)/pixel_ratio_to;v_pos_a=get_pattern_pos(u_pixel_coord_upper,u_pixel_coord_lower,fromScale*display_size_a,tileRatio,a_pos);v_pos_b=get_pattern_pos(u_pixel_coord_upper,u_pixel_coord_lower,toScale*display_size_b,tileRatio,a_pos);v_pos=(gl_Position.xy/gl_Position.w+1.0)/2.0*u_world;}"),lr=_r("uniform vec2 u_texsize;uniform float u_fade;uniform sampler2D u_image;varying vec2 v_pos_a;varying vec2 v_pos_b;\n#pragma mapbox: define lowp float opacity\n#pragma mapbox: define lowp vec4 pattern_from\n#pragma mapbox: define lowp vec4 pattern_to\nvoid main() {\n#pragma mapbox: initialize lowp float opacity\n#pragma mapbox: initialize mediump vec4 pattern_from\n#pragma mapbox: initialize mediump vec4 pattern_to\nvec2 pattern_tl_a=pattern_from.xy;vec2 pattern_br_a=pattern_from.zw;vec2 pattern_tl_b=pattern_to.xy;vec2 pattern_br_b=pattern_to.zw;vec2 imagecoord=mod(v_pos_a,1.0);vec2 pos=mix(pattern_tl_a/u_texsize,pattern_br_a/u_texsize,imagecoord);vec4 color1=texture2D(u_image,pos);vec2 imagecoord_b=mod(v_pos_b,1.0);vec2 pos2=mix(pattern_tl_b/u_texsize,pattern_br_b/u_texsize,imagecoord_b);vec4 color2=texture2D(u_image,pos2);gl_FragColor=mix(color1,color2,u_fade)*opacity;\n#ifdef OVERDRAW_INSPECTOR\ngl_FragColor=vec4(1.0);\n#endif\n}","uniform mat4 u_matrix;uniform vec2 u_pixel_coord_upper;uniform vec2 u_pixel_coord_lower;uniform vec3 u_scale;attribute vec2 a_pos;varying vec2 v_pos_a;varying vec2 v_pos_b;\n#pragma mapbox: define lowp float opacity\n#pragma mapbox: define lowp vec4 pattern_from\n#pragma mapbox: define lowp vec4 pattern_to\n#pragma mapbox: define lowp float pixel_ratio_from\n#pragma mapbox: define lowp float pixel_ratio_to\nvoid main() {\n#pragma mapbox: initialize lowp float opacity\n#pragma mapbox: initialize mediump vec4 pattern_from\n#pragma mapbox: initialize mediump vec4 pattern_to\n#pragma mapbox: initialize lowp float pixel_ratio_from\n#pragma mapbox: initialize lowp float pixel_ratio_to\nvec2 pattern_tl_a=pattern_from.xy;vec2 pattern_br_a=pattern_from.zw;vec2 pattern_tl_b=pattern_to.xy;vec2 pattern_br_b=pattern_to.zw;float tileZoomRatio=u_scale.x;float fromScale=u_scale.y;float toScale=u_scale.z;vec2 display_size_a=(pattern_br_a-pattern_tl_a)/pixel_ratio_from;vec2 display_size_b=(pattern_br_b-pattern_tl_b)/pixel_ratio_to;gl_Position=u_matrix*vec4(a_pos,0,1);v_pos_a=get_pattern_pos(u_pixel_coord_upper,u_pixel_coord_lower,fromScale*display_size_a,tileZoomRatio,a_pos);v_pos_b=get_pattern_pos(u_pixel_coord_upper,u_pixel_coord_lower,toScale*display_size_b,tileZoomRatio,a_pos);}"),ur=_r("varying vec4 v_color;void main() {gl_FragColor=v_color;\n#ifdef OVERDRAW_INSPECTOR\ngl_FragColor=vec4(1.0);\n#endif\n}","uniform mat4 u_matrix;uniform vec3 u_lightcolor;uniform lowp vec3 u_lightpos;uniform lowp float u_lightintensity;uniform float u_vertical_gradient;uniform lowp float u_opacity;attribute vec2 a_pos;attribute vec4 a_normal_ed;varying vec4 v_color;\n#pragma mapbox: define highp float base\n#pragma mapbox: define highp float height\n#pragma mapbox: define highp vec4 color\nvoid main() {\n#pragma mapbox: initialize highp float base\n#pragma mapbox: initialize highp float height\n#pragma mapbox: initialize highp vec4 color\nvec3 normal=a_normal_ed.xyz;base=max(0.0,base);height=max(0.0,height);float t=mod(normal.x,2.0);gl_Position=u_matrix*vec4(a_pos,t > 0.0 ? height : base,1);float colorvalue=color.r*0.2126+color.g*0.7152+color.b*0.0722;v_color=vec4(0.0,0.0,0.0,1.0);vec4 ambientlight=vec4(0.03,0.03,0.03,1.0);color+=ambientlight;float directional=clamp(dot(normal/16384.0,u_lightpos),0.0,1.0);directional=mix((1.0-u_lightintensity),max((1.0-colorvalue+u_lightintensity),1.0),directional);if (normal.y !=0.0) {directional*=((1.0-u_vertical_gradient)+(u_vertical_gradient*clamp((t+base)*pow(height/150.0,0.5),mix(0.7,0.98,1.0-u_lightintensity),1.0)));}v_color.r+=clamp(color.r*directional*u_lightcolor.r,mix(0.0,0.3,1.0-u_lightcolor.r),1.0);v_color.g+=clamp(color.g*directional*u_lightcolor.g,mix(0.0,0.3,1.0-u_lightcolor.g),1.0);v_color.b+=clamp(color.b*directional*u_lightcolor.b,mix(0.0,0.3,1.0-u_lightcolor.b),1.0);v_color*=u_opacity;}"),cr=_r("uniform vec2 u_texsize;uniform float u_fade;uniform sampler2D u_image;varying vec2 v_pos_a;varying vec2 v_pos_b;varying vec4 v_lighting;\n#pragma mapbox: define lowp float base\n#pragma mapbox: define lowp float height\n#pragma mapbox: define lowp vec4 pattern_from\n#pragma mapbox: define lowp vec4 pattern_to\n#pragma mapbox: define lowp float pixel_ratio_from\n#pragma mapbox: define lowp float pixel_ratio_to\nvoid main() {\n#pragma mapbox: initialize lowp float base\n#pragma mapbox: initialize lowp float height\n#pragma mapbox: initialize mediump vec4 pattern_from\n#pragma mapbox: initialize mediump vec4 pattern_to\n#pragma mapbox: initialize lowp float pixel_ratio_from\n#pragma mapbox: initialize lowp float pixel_ratio_to\nvec2 pattern_tl_a=pattern_from.xy;vec2 pattern_br_a=pattern_from.zw;vec2 pattern_tl_b=pattern_to.xy;vec2 pattern_br_b=pattern_to.zw;vec2 imagecoord=mod(v_pos_a,1.0);vec2 pos=mix(pattern_tl_a/u_texsize,pattern_br_a/u_texsize,imagecoord);vec4 color1=texture2D(u_image,pos);vec2 imagecoord_b=mod(v_pos_b,1.0);vec2 pos2=mix(pattern_tl_b/u_texsize,pattern_br_b/u_texsize,imagecoord_b);vec4 color2=texture2D(u_image,pos2);vec4 mixedColor=mix(color1,color2,u_fade);gl_FragColor=mixedColor*v_lighting;\n#ifdef OVERDRAW_INSPECTOR\ngl_FragColor=vec4(1.0);\n#endif\n}","uniform mat4 u_matrix;uniform vec2 u_pixel_coord_upper;uniform vec2 u_pixel_coord_lower;uniform float u_height_factor;uniform vec3 u_scale;uniform float u_vertical_gradient;uniform lowp float u_opacity;uniform vec3 u_lightcolor;uniform lowp vec3 u_lightpos;uniform lowp float u_lightintensity;attribute vec2 a_pos;attribute vec4 a_normal_ed;varying vec2 v_pos_a;varying vec2 v_pos_b;varying vec4 v_lighting;\n#pragma mapbox: define lowp float base\n#pragma mapbox: define lowp float height\n#pragma mapbox: define lowp vec4 pattern_from\n#pragma mapbox: define lowp vec4 pattern_to\n#pragma mapbox: define lowp float pixel_ratio_from\n#pragma mapbox: define lowp float pixel_ratio_to\nvoid main() {\n#pragma mapbox: initialize lowp float base\n#pragma mapbox: initialize lowp float height\n#pragma mapbox: initialize mediump vec4 pattern_from\n#pragma mapbox: initialize mediump vec4 pattern_to\n#pragma mapbox: initialize lowp float pixel_ratio_from\n#pragma mapbox: initialize lowp float pixel_ratio_to\nvec2 pattern_tl_a=pattern_from.xy;vec2 pattern_br_a=pattern_from.zw;vec2 pattern_tl_b=pattern_to.xy;vec2 pattern_br_b=pattern_to.zw;float tileRatio=u_scale.x;float fromScale=u_scale.y;float toScale=u_scale.z;vec3 normal=a_normal_ed.xyz;float edgedistance=a_normal_ed.w;vec2 display_size_a=(pattern_br_a-pattern_tl_a)/pixel_ratio_from;vec2 display_size_b=(pattern_br_b-pattern_tl_b)/pixel_ratio_to;base=max(0.0,base);height=max(0.0,height);float t=mod(normal.x,2.0);float z=t > 0.0 ? height : base;gl_Position=u_matrix*vec4(a_pos,z,1);vec2 pos=normal.x==1.0 && normal.y==0.0 && normal.z==16384.0\n? a_pos\n: vec2(edgedistance,z*u_height_factor);v_pos_a=get_pattern_pos(u_pixel_coord_upper,u_pixel_coord_lower,fromScale*display_size_a,tileRatio,pos);v_pos_b=get_pattern_pos(u_pixel_coord_upper,u_pixel_coord_lower,toScale*display_size_b,tileRatio,pos);v_lighting=vec4(0.0,0.0,0.0,1.0);float directional=clamp(dot(normal/16383.0,u_lightpos),0.0,1.0);directional=mix((1.0-u_lightintensity),max((0.5+u_lightintensity),1.0),directional);if (normal.y !=0.0) {directional*=((1.0-u_vertical_gradient)+(u_vertical_gradient*clamp((t+base)*pow(height/150.0,0.5),mix(0.7,0.98,1.0-u_lightintensity),1.0)));}v_lighting.rgb+=clamp(directional*u_lightcolor,mix(vec3(0.0),vec3(0.3),1.0-u_lightcolor),vec3(1.0));v_lighting*=u_opacity;}"),fr=_r("#ifdef GL_ES\nprecision highp float;\n#endif\nuniform sampler2D u_image;varying vec2 v_pos;uniform vec2 u_dimension;uniform float u_zoom;uniform vec4 u_unpack;float getElevation(vec2 coord,float bias) {vec4 data=texture2D(u_image,coord)*255.0;data.a=-1.0;return dot(data,u_unpack)/4.0;}void main() {vec2 epsilon=1.0/u_dimension;float a=getElevation(v_pos+vec2(-epsilon.x,-epsilon.y),0.0);float b=getElevation(v_pos+vec2(0,-epsilon.y),0.0);float c=getElevation(v_pos+vec2(epsilon.x,-epsilon.y),0.0);float d=getElevation(v_pos+vec2(-epsilon.x,0),0.0);float e=getElevation(v_pos,0.0);float f=getElevation(v_pos+vec2(epsilon.x,0),0.0);float g=getElevation(v_pos+vec2(-epsilon.x,epsilon.y),0.0);float h=getElevation(v_pos+vec2(0,epsilon.y),0.0);float i=getElevation(v_pos+vec2(epsilon.x,epsilon.y),0.0);float exaggerationFactor=u_zoom < 2.0 ? 0.4 : u_zoom < 4.5 ? 0.35 : 0.3;float exaggeration=u_zoom < 15.0 ? (u_zoom-15.0)*exaggerationFactor : 0.0;vec2 deriv=vec2((c+f+f+i)-(a+d+d+g),(g+h+h+i)-(a+b+b+c))/pow(2.0,exaggeration+(19.2562-u_zoom));gl_FragColor=clamp(vec4(deriv.x/2.0+0.5,deriv.y/2.0+0.5,1.0,1.0),0.0,1.0);\n#ifdef OVERDRAW_INSPECTOR\ngl_FragColor=vec4(1.0);\n#endif\n}","uniform mat4 u_matrix;uniform vec2 u_dimension;attribute vec2 a_pos;attribute vec2 a_texture_pos;varying vec2 v_pos;void main() {gl_Position=u_matrix*vec4(a_pos,0,1);highp vec2 epsilon=1.0/u_dimension;float scale=(u_dimension.x-2.0)/u_dimension.x;v_pos=(a_texture_pos/8192.0)*scale+epsilon;}"),hr=_r("uniform sampler2D u_image;varying vec2 v_pos;uniform vec2 u_latrange;uniform vec2 u_light;uniform vec4 u_shadow;uniform vec4 u_highlight;uniform vec4 u_accent;\n#define PI 3.141592653589793\nvoid main() {vec4 pixel=texture2D(u_image,v_pos);vec2 deriv=((pixel.rg*2.0)-1.0);float scaleFactor=cos(radians((u_latrange[0]-u_latrange[1])*(1.0-v_pos.y)+u_latrange[1]));float slope=atan(1.25*length(deriv)/scaleFactor);float aspect=deriv.x !=0.0 ? atan(deriv.y,-deriv.x) : PI/2.0*(deriv.y > 0.0 ? 1.0 :-1.0);float intensity=u_light.x;float azimuth=u_light.y+PI;float base=1.875-intensity*1.75;float maxValue=0.5*PI;float scaledSlope=intensity !=0.5 ? ((pow(base,slope)-1.0)/(pow(base,maxValue)-1.0))*maxValue : slope;float accent=cos(scaledSlope);vec4 accent_color=(1.0-accent)*u_accent*clamp(intensity*2.0,0.0,1.0);float shade=abs(mod((aspect+azimuth)/PI+0.5,2.0)-1.0);vec4 shade_color=mix(u_shadow,u_highlight,shade)*sin(scaledSlope)*clamp(intensity*2.0,0.0,1.0);gl_FragColor=accent_color*(1.0-shade_color.a)+shade_color;\n#ifdef OVERDRAW_INSPECTOR\ngl_FragColor=vec4(1.0);\n#endif\n}","uniform mat4 u_matrix;attribute vec2 a_pos;attribute vec2 a_texture_pos;varying vec2 v_pos;void main() {gl_Position=u_matrix*vec4(a_pos,0,1);v_pos=a_texture_pos/8192.0;}"),pr=_r("uniform lowp float u_device_pixel_ratio;varying vec2 v_width2;varying vec2 v_normal;varying float v_gamma_scale;\n#pragma mapbox: define highp vec4 color\n#pragma mapbox: define lowp float blur\n#pragma mapbox: define lowp float opacity\nvoid main() {\n#pragma mapbox: initialize highp vec4 color\n#pragma mapbox: initialize lowp float blur\n#pragma mapbox: initialize lowp float opacity\nfloat dist=length(v_normal)*v_width2.s;float blur2=(blur+1.0/u_device_pixel_ratio)*v_gamma_scale;float alpha=clamp(min(dist-(v_width2.t-blur2),v_width2.s-dist)/blur2,0.0,1.0);gl_FragColor=color*(alpha*opacity);\n#ifdef OVERDRAW_INSPECTOR\ngl_FragColor=vec4(1.0);\n#endif\n}","\n#define scale 0.015873016\nattribute vec2 a_pos_normal;attribute vec4 a_data;uniform mat4 u_matrix;uniform mediump float u_ratio;uniform vec2 u_units_to_pixels;uniform lowp float u_device_pixel_ratio;varying vec2 v_normal;varying vec2 v_width2;varying float v_gamma_scale;varying highp float v_linesofar;\n#pragma mapbox: define highp vec4 color\n#pragma mapbox: define lowp float blur\n#pragma mapbox: define lowp float opacity\n#pragma mapbox: define mediump float gapwidth\n#pragma mapbox: define lowp float offset\n#pragma mapbox: define mediump float width\nvoid main() {\n#pragma mapbox: initialize highp vec4 color\n#pragma mapbox: initialize lowp float blur\n#pragma mapbox: initialize lowp float opacity\n#pragma mapbox: initialize mediump float gapwidth\n#pragma mapbox: initialize lowp float offset\n#pragma mapbox: initialize mediump float width\nfloat ANTIALIASING=1.0/u_device_pixel_ratio/2.0;vec2 a_extrude=a_data.xy-128.0;float a_direction=mod(a_data.z,4.0)-1.0;v_linesofar=(floor(a_data.z/4.0)+a_data.w*64.0)*2.0;vec2 pos=floor(a_pos_normal*0.5);mediump vec2 normal=a_pos_normal-2.0*pos;normal.y=normal.y*2.0-1.0;v_normal=normal;gapwidth=gapwidth/2.0;float halfwidth=width/2.0;offset=-1.0*offset;float inset=gapwidth+(gapwidth > 0.0 ? ANTIALIASING : 0.0);float outset=gapwidth+halfwidth*(gapwidth > 0.0 ? 2.0 : 1.0)+(halfwidth==0.0 ? 0.0 : ANTIALIASING);mediump vec2 dist=outset*a_extrude*scale;mediump float u=0.5*a_direction;mediump float t=1.0-abs(u);mediump vec2 offset2=offset*a_extrude*scale*normal.y*mat2(t,-u,u,t);vec4 projected_extrude=u_matrix*vec4(dist/u_ratio,0.0,0.0);gl_Position=u_matrix*vec4(pos+offset2/u_ratio,0.0,1.0)+projected_extrude;float extrude_length_without_perspective=length(dist);float extrude_length_with_perspective=length(projected_extrude.xy/gl_Position.w*u_units_to_pixels);v_gamma_scale=extrude_length_without_perspective/extrude_length_with_perspective;v_width2=vec2(outset,inset);}"),dr=_r("uniform lowp float u_device_pixel_ratio;uniform sampler2D u_image;varying vec2 v_width2;varying vec2 v_normal;varying float v_gamma_scale;varying highp vec2 v_uv;\n#pragma mapbox: define lowp float blur\n#pragma mapbox: define lowp float opacity\nvoid main() {\n#pragma mapbox: initialize lowp float blur\n#pragma mapbox: initialize lowp float opacity\nfloat dist=length(v_normal)*v_width2.s;float blur2=(blur+1.0/u_device_pixel_ratio)*v_gamma_scale;float alpha=clamp(min(dist-(v_width2.t-blur2),v_width2.s-dist)/blur2,0.0,1.0);vec4 color=texture2D(u_image,v_uv);gl_FragColor=color*(alpha*opacity);\n#ifdef OVERDRAW_INSPECTOR\ngl_FragColor=vec4(1.0);\n#endif\n}","\n#define scale 0.015873016\nattribute vec2 a_pos_normal;attribute vec4 a_data;attribute float a_uv_x;attribute float a_split_index;uniform mat4 u_matrix;uniform mediump float u_ratio;uniform lowp float u_device_pixel_ratio;uniform vec2 u_units_to_pixels;uniform float u_image_height;varying vec2 v_normal;varying vec2 v_width2;varying float v_gamma_scale;varying highp vec2 v_uv;\n#pragma mapbox: define lowp float blur\n#pragma mapbox: define lowp float opacity\n#pragma mapbox: define mediump float gapwidth\n#pragma mapbox: define lowp float offset\n#pragma mapbox: define mediump float width\nvoid main() {\n#pragma mapbox: initialize lowp float blur\n#pragma mapbox: initialize lowp float opacity\n#pragma mapbox: initialize mediump float gapwidth\n#pragma mapbox: initialize lowp float offset\n#pragma mapbox: initialize mediump float width\nfloat ANTIALIASING=1.0/u_device_pixel_ratio/2.0;vec2 a_extrude=a_data.xy-128.0;float a_direction=mod(a_data.z,4.0)-1.0;highp float texel_height=1.0/u_image_height;highp float half_texel_height=0.5*texel_height;v_uv=vec2(a_uv_x,a_split_index*texel_height-half_texel_height);vec2 pos=floor(a_pos_normal*0.5);mediump vec2 normal=a_pos_normal-2.0*pos;normal.y=normal.y*2.0-1.0;v_normal=normal;gapwidth=gapwidth/2.0;float halfwidth=width/2.0;offset=-1.0*offset;float inset=gapwidth+(gapwidth > 0.0 ? ANTIALIASING : 0.0);float outset=gapwidth+halfwidth*(gapwidth > 0.0 ? 2.0 : 1.0)+(halfwidth==0.0 ? 0.0 : ANTIALIASING);mediump vec2 dist=outset*a_extrude*scale;mediump float u=0.5*a_direction;mediump float t=1.0-abs(u);mediump vec2 offset2=offset*a_extrude*scale*normal.y*mat2(t,-u,u,t);vec4 projected_extrude=u_matrix*vec4(dist/u_ratio,0.0,0.0);gl_Position=u_matrix*vec4(pos+offset2/u_ratio,0.0,1.0)+projected_extrude;float extrude_length_without_perspective=length(dist);float extrude_length_with_perspective=length(projected_extrude.xy/gl_Position.w*u_units_to_pixels);v_gamma_scale=extrude_length_without_perspective/extrude_length_with_perspective;v_width2=vec2(outset,inset);}"),vr=_r("uniform lowp float u_device_pixel_ratio;uniform vec2 u_texsize;uniform float u_fade;uniform mediump vec3 u_scale;uniform sampler2D u_image;varying vec2 v_normal;varying vec2 v_width2;varying float v_linesofar;varying float v_gamma_scale;varying float v_width;\n#pragma mapbox: define lowp vec4 pattern_from\n#pragma mapbox: define lowp vec4 pattern_to\n#pragma mapbox: define lowp float pixel_ratio_from\n#pragma mapbox: define lowp float pixel_ratio_to\n#pragma mapbox: define lowp float blur\n#pragma mapbox: define lowp float opacity\nvoid main() {\n#pragma mapbox: initialize mediump vec4 pattern_from\n#pragma mapbox: initialize mediump vec4 pattern_to\n#pragma mapbox: initialize lowp float pixel_ratio_from\n#pragma mapbox: initialize lowp float pixel_ratio_to\n#pragma mapbox: initialize lowp float blur\n#pragma mapbox: initialize lowp float opacity\nvec2 pattern_tl_a=pattern_from.xy;vec2 pattern_br_a=pattern_from.zw;vec2 pattern_tl_b=pattern_to.xy;vec2 pattern_br_b=pattern_to.zw;float tileZoomRatio=u_scale.x;float fromScale=u_scale.y;float toScale=u_scale.z;vec2 display_size_a=(pattern_br_a-pattern_tl_a)/pixel_ratio_from;vec2 display_size_b=(pattern_br_b-pattern_tl_b)/pixel_ratio_to;vec2 pattern_size_a=vec2(display_size_a.x*fromScale/tileZoomRatio,display_size_a.y);vec2 pattern_size_b=vec2(display_size_b.x*toScale/tileZoomRatio,display_size_b.y);float aspect_a=display_size_a.y/v_width;float aspect_b=display_size_b.y/v_width;float dist=length(v_normal)*v_width2.s;float blur2=(blur+1.0/u_device_pixel_ratio)*v_gamma_scale;float alpha=clamp(min(dist-(v_width2.t-blur2),v_width2.s-dist)/blur2,0.0,1.0);float x_a=mod(v_linesofar/pattern_size_a.x*aspect_a,1.0);float x_b=mod(v_linesofar/pattern_size_b.x*aspect_b,1.0);float y=0.5*v_normal.y+0.5;vec2 texel_size=1.0/u_texsize;vec2 pos_a=mix(pattern_tl_a*texel_size-texel_size,pattern_br_a*texel_size+texel_size,vec2(x_a,y));vec2 pos_b=mix(pattern_tl_b*texel_size-texel_size,pattern_br_b*texel_size+texel_size,vec2(x_b,y));vec4 color=mix(texture2D(u_image,pos_a),texture2D(u_image,pos_b),u_fade);gl_FragColor=color*alpha*opacity;\n#ifdef OVERDRAW_INSPECTOR\ngl_FragColor=vec4(1.0);\n#endif\n}","\n#define scale 0.015873016\n#define LINE_DISTANCE_SCALE 2.0\nattribute vec2 a_pos_normal;attribute vec4 a_data;uniform mat4 u_matrix;uniform vec2 u_units_to_pixels;uniform mediump float u_ratio;uniform lowp float u_device_pixel_ratio;varying vec2 v_normal;varying vec2 v_width2;varying float v_linesofar;varying float v_gamma_scale;varying float v_width;\n#pragma mapbox: define lowp float blur\n#pragma mapbox: define lowp float opacity\n#pragma mapbox: define lowp float offset\n#pragma mapbox: define mediump float gapwidth\n#pragma mapbox: define mediump float width\n#pragma mapbox: define lowp float floorwidth\n#pragma mapbox: define lowp vec4 pattern_from\n#pragma mapbox: define lowp vec4 pattern_to\n#pragma mapbox: define lowp float pixel_ratio_from\n#pragma mapbox: define lowp float pixel_ratio_to\nvoid main() {\n#pragma mapbox: initialize lowp float blur\n#pragma mapbox: initialize lowp float opacity\n#pragma mapbox: initialize lowp float offset\n#pragma mapbox: initialize mediump float gapwidth\n#pragma mapbox: initialize mediump float width\n#pragma mapbox: initialize lowp float floorwidth\n#pragma mapbox: initialize mediump vec4 pattern_from\n#pragma mapbox: initialize mediump vec4 pattern_to\n#pragma mapbox: initialize lowp float pixel_ratio_from\n#pragma mapbox: initialize lowp float pixel_ratio_to\nfloat ANTIALIASING=1.0/u_device_pixel_ratio/2.0;vec2 a_extrude=a_data.xy-128.0;float a_direction=mod(a_data.z,4.0)-1.0;float a_linesofar=(floor(a_data.z/4.0)+a_data.w*64.0)*LINE_DISTANCE_SCALE;vec2 pos=floor(a_pos_normal*0.5);mediump vec2 normal=a_pos_normal-2.0*pos;normal.y=normal.y*2.0-1.0;v_normal=normal;gapwidth=gapwidth/2.0;float halfwidth=width/2.0;offset=-1.0*offset;float inset=gapwidth+(gapwidth > 0.0 ? ANTIALIASING : 0.0);float outset=gapwidth+halfwidth*(gapwidth > 0.0 ? 2.0 : 1.0)+(halfwidth==0.0 ? 0.0 : ANTIALIASING);mediump vec2 dist=outset*a_extrude*scale;mediump float u=0.5*a_direction;mediump float t=1.0-abs(u);mediump vec2 offset2=offset*a_extrude*scale*normal.y*mat2(t,-u,u,t);vec4 projected_extrude=u_matrix*vec4(dist/u_ratio,0.0,0.0);gl_Position=u_matrix*vec4(pos+offset2/u_ratio,0.0,1.0)+projected_extrude;float extrude_length_without_perspective=length(dist);float extrude_length_with_perspective=length(projected_extrude.xy/gl_Position.w*u_units_to_pixels);v_gamma_scale=extrude_length_without_perspective/extrude_length_with_perspective;v_linesofar=a_linesofar;v_width2=vec2(outset,inset);v_width=floorwidth;}"),gr=_r("uniform lowp float u_device_pixel_ratio;uniform sampler2D u_image;uniform float u_sdfgamma;uniform float u_mix;varying vec2 v_normal;varying vec2 v_width2;varying vec2 v_tex_a;varying vec2 v_tex_b;varying float v_gamma_scale;\n#pragma mapbox: define highp vec4 color\n#pragma mapbox: define lowp float blur\n#pragma mapbox: define lowp float opacity\n#pragma mapbox: define mediump float width\n#pragma mapbox: define lowp float floorwidth\nvoid main() {\n#pragma mapbox: initialize highp vec4 color\n#pragma mapbox: initialize lowp float blur\n#pragma mapbox: initialize lowp float opacity\n#pragma mapbox: initialize mediump float width\n#pragma mapbox: initialize lowp float floorwidth\nfloat dist=length(v_normal)*v_width2.s;float blur2=(blur+1.0/u_device_pixel_ratio)*v_gamma_scale;float alpha=clamp(min(dist-(v_width2.t-blur2),v_width2.s-dist)/blur2,0.0,1.0);float sdfdist_a=texture2D(u_image,v_tex_a).a;float sdfdist_b=texture2D(u_image,v_tex_b).a;float sdfdist=mix(sdfdist_a,sdfdist_b,u_mix);alpha*=smoothstep(0.5-u_sdfgamma/floorwidth,0.5+u_sdfgamma/floorwidth,sdfdist);gl_FragColor=color*(alpha*opacity);\n#ifdef OVERDRAW_INSPECTOR\ngl_FragColor=vec4(1.0);\n#endif\n}","\n#define scale 0.015873016\n#define LINE_DISTANCE_SCALE 2.0\nattribute vec2 a_pos_normal;attribute vec4 a_data;uniform mat4 u_matrix;uniform mediump float u_ratio;uniform lowp float u_device_pixel_ratio;uniform vec2 u_patternscale_a;uniform float u_tex_y_a;uniform vec2 u_patternscale_b;uniform float u_tex_y_b;uniform vec2 u_units_to_pixels;varying vec2 v_normal;varying vec2 v_width2;varying vec2 v_tex_a;varying vec2 v_tex_b;varying float v_gamma_scale;\n#pragma mapbox: define highp vec4 color\n#pragma mapbox: define lowp float blur\n#pragma mapbox: define lowp float opacity\n#pragma mapbox: define mediump float gapwidth\n#pragma mapbox: define lowp float offset\n#pragma mapbox: define mediump float width\n#pragma mapbox: define lowp float floorwidth\nvoid main() {\n#pragma mapbox: initialize highp vec4 color\n#pragma mapbox: initialize lowp float blur\n#pragma mapbox: initialize lowp float opacity\n#pragma mapbox: initialize mediump float gapwidth\n#pragma mapbox: initialize lowp float offset\n#pragma mapbox: initialize mediump float width\n#pragma mapbox: initialize lowp float floorwidth\nfloat ANTIALIASING=1.0/u_device_pixel_ratio/2.0;vec2 a_extrude=a_data.xy-128.0;float a_direction=mod(a_data.z,4.0)-1.0;float a_linesofar=(floor(a_data.z/4.0)+a_data.w*64.0)*LINE_DISTANCE_SCALE;vec2 pos=floor(a_pos_normal*0.5);mediump vec2 normal=a_pos_normal-2.0*pos;normal.y=normal.y*2.0-1.0;v_normal=normal;gapwidth=gapwidth/2.0;float halfwidth=width/2.0;offset=-1.0*offset;float inset=gapwidth+(gapwidth > 0.0 ? ANTIALIASING : 0.0);float outset=gapwidth+halfwidth*(gapwidth > 0.0 ? 2.0 : 1.0)+(halfwidth==0.0 ? 0.0 : ANTIALIASING);mediump vec2 dist=outset*a_extrude*scale;mediump float u=0.5*a_direction;mediump float t=1.0-abs(u);mediump vec2 offset2=offset*a_extrude*scale*normal.y*mat2(t,-u,u,t);vec4 projected_extrude=u_matrix*vec4(dist/u_ratio,0.0,0.0);gl_Position=u_matrix*vec4(pos+offset2/u_ratio,0.0,1.0)+projected_extrude;float extrude_length_without_perspective=length(dist);float extrude_length_with_perspective=length(projected_extrude.xy/gl_Position.w*u_units_to_pixels);v_gamma_scale=extrude_length_without_perspective/extrude_length_with_perspective;v_tex_a=vec2(a_linesofar*u_patternscale_a.x/floorwidth,normal.y*u_patternscale_a.y+u_tex_y_a);v_tex_b=vec2(a_linesofar*u_patternscale_b.x/floorwidth,normal.y*u_patternscale_b.y+u_tex_y_b);v_width2=vec2(outset,inset);}"),yr=_r("uniform float u_fade_t;uniform float u_opacity;uniform sampler2D u_image0;uniform sampler2D u_image1;varying vec2 v_pos0;varying vec2 v_pos1;uniform float u_brightness_low;uniform float u_brightness_high;uniform float u_saturation_factor;uniform float u_contrast_factor;uniform vec3 u_spin_weights;void main() {vec4 color0=texture2D(u_image0,v_pos0);vec4 color1=texture2D(u_image1,v_pos1);if (color0.a > 0.0) {color0.rgb=color0.rgb/color0.a;}if (color1.a > 0.0) {color1.rgb=color1.rgb/color1.a;}vec4 color=mix(color0,color1,u_fade_t);color.a*=u_opacity;vec3 rgb=color.rgb;rgb=vec3(dot(rgb,u_spin_weights.xyz),dot(rgb,u_spin_weights.zxy),dot(rgb,u_spin_weights.yzx));float average=(color.r+color.g+color.b)/3.0;rgb+=(average-rgb)*u_saturation_factor;rgb=(rgb-0.5)*u_contrast_factor+0.5;vec3 u_high_vec=vec3(u_brightness_low,u_brightness_low,u_brightness_low);vec3 u_low_vec=vec3(u_brightness_high,u_brightness_high,u_brightness_high);gl_FragColor=vec4(mix(u_high_vec,u_low_vec,rgb)*color.a,color.a);\n#ifdef OVERDRAW_INSPECTOR\ngl_FragColor=vec4(1.0);\n#endif\n}","uniform mat4 u_matrix;uniform vec2 u_tl_parent;uniform float u_scale_parent;uniform float u_buffer_scale;attribute vec2 a_pos;attribute vec2 a_texture_pos;varying vec2 v_pos0;varying vec2 v_pos1;void main() {gl_Position=u_matrix*vec4(a_pos,0,1);v_pos0=(((a_texture_pos/8192.0)-0.5)/u_buffer_scale )+0.5;v_pos1=(v_pos0*u_scale_parent)+u_tl_parent;}"),mr=_r("uniform sampler2D u_texture;varying vec2 v_tex;varying float v_fade_opacity;\n#pragma mapbox: define lowp float opacity\nvoid main() {\n#pragma mapbox: initialize lowp float opacity\nlowp float alpha=opacity*v_fade_opacity;gl_FragColor=texture2D(u_texture,v_tex)*alpha;\n#ifdef OVERDRAW_INSPECTOR\ngl_FragColor=vec4(1.0);\n#endif\n}","const float PI=3.141592653589793;attribute vec4 a_pos_offset;attribute vec4 a_data;attribute vec4 a_pixeloffset;attribute vec3 a_projected_pos;attribute float a_fade_opacity;uniform bool u_is_size_zoom_constant;uniform bool u_is_size_feature_constant;uniform highp float u_size_t;uniform highp float u_size;uniform highp float u_camera_to_center_distance;uniform highp float u_pitch;uniform bool u_rotate_symbol;uniform highp float u_aspect_ratio;uniform float u_fade_change;uniform mat4 u_matrix;uniform mat4 u_label_plane_matrix;uniform mat4 u_coord_matrix;uniform bool u_is_text;uniform bool u_pitch_with_map;uniform vec2 u_texsize;varying vec2 v_tex;varying float v_fade_opacity;\n#pragma mapbox: define lowp float opacity\nvoid main() {\n#pragma mapbox: initialize lowp float opacity\nvec2 a_pos=a_pos_offset.xy;vec2 a_offset=a_pos_offset.zw;vec2 a_tex=a_data.xy;vec2 a_size=a_data.zw;float a_size_min=floor(a_size[0]*0.5);vec2 a_pxoffset=a_pixeloffset.xy;vec2 a_minFontScale=a_pixeloffset.zw/256.0;highp float segment_angle=-a_projected_pos[2];float size;if (!u_is_size_zoom_constant && !u_is_size_feature_constant) {size=mix(a_size_min,a_size[1],u_size_t)/128.0;} else if (u_is_size_zoom_constant && !u_is_size_feature_constant) {size=a_size_min/128.0;} else {size=u_size;}vec4 projectedPoint=u_matrix*vec4(a_pos,0,1);highp float camera_to_anchor_distance=projectedPoint.w;highp float distance_ratio=u_pitch_with_map ?\ncamera_to_anchor_distance/u_camera_to_center_distance :\nu_camera_to_center_distance/camera_to_anchor_distance;highp float perspective_ratio=clamp(0.5+0.5*distance_ratio,0.0,4.0);size*=perspective_ratio;float fontScale=u_is_text ? size/24.0 : size;highp float symbol_rotation=0.0;if (u_rotate_symbol) {vec4 offsetProjectedPoint=u_matrix*vec4(a_pos+vec2(1,0),0,1);vec2 a=projectedPoint.xy/projectedPoint.w;vec2 b=offsetProjectedPoint.xy/offsetProjectedPoint.w;symbol_rotation=atan((b.y-a.y)/u_aspect_ratio,b.x-a.x);}highp float angle_sin=sin(segment_angle+symbol_rotation);highp float angle_cos=cos(segment_angle+symbol_rotation);mat2 rotation_matrix=mat2(angle_cos,-1.0*angle_sin,angle_sin,angle_cos);vec4 projected_pos=u_label_plane_matrix*vec4(a_projected_pos.xy,0.0,1.0);gl_Position=u_coord_matrix*vec4(projected_pos.xy/projected_pos.w+rotation_matrix*(a_offset/32.0*max(a_minFontScale,fontScale)+a_pxoffset/16.0),0.0,1.0);v_tex=a_tex/u_texsize;vec2 fade_opacity=unpack_opacity(a_fade_opacity);float fade_change=fade_opacity[1] > 0.5 ? u_fade_change :-u_fade_change;v_fade_opacity=max(0.0,min(1.0,fade_opacity[0]+fade_change));}"),xr=_r("#define SDF_PX 8.0\nuniform bool u_is_halo;uniform sampler2D u_texture;uniform highp float u_gamma_scale;uniform lowp float u_device_pixel_ratio;uniform bool u_is_text;varying vec2 v_data0;varying vec3 v_data1;\n#pragma mapbox: define highp vec4 fill_color\n#pragma mapbox: define highp vec4 halo_color\n#pragma mapbox: define lowp float opacity\n#pragma mapbox: define lowp float halo_width\n#pragma mapbox: define lowp float halo_blur\nvoid main() {\n#pragma mapbox: initialize highp vec4 fill_color\n#pragma mapbox: initialize highp vec4 halo_color\n#pragma mapbox: initialize lowp float opacity\n#pragma mapbox: initialize lowp float halo_width\n#pragma mapbox: initialize lowp float halo_blur\nfloat EDGE_GAMMA=0.105/u_device_pixel_ratio;vec2 tex=v_data0.xy;float gamma_scale=v_data1.x;float size=v_data1.y;float fade_opacity=v_data1[2];float fontScale=u_is_text ? size/24.0 : size;lowp vec4 color=fill_color;highp float gamma=EDGE_GAMMA/(fontScale*u_gamma_scale);lowp float buff=(256.0-64.0)/256.0;if (u_is_halo) {color=halo_color;gamma=(halo_blur*1.19/SDF_PX+EDGE_GAMMA)/(fontScale*u_gamma_scale);buff=(6.0-halo_width/fontScale)/SDF_PX;}lowp float dist=texture2D(u_texture,tex).a;highp float gamma_scaled=gamma*gamma_scale;highp float alpha=smoothstep(buff-gamma_scaled,buff+gamma_scaled,dist);gl_FragColor=color*(alpha*opacity*fade_opacity);\n#ifdef OVERDRAW_INSPECTOR\ngl_FragColor=vec4(1.0);\n#endif\n}","const float PI=3.141592653589793;attribute vec4 a_pos_offset;attribute vec4 a_data;attribute vec4 a_pixeloffset;attribute vec3 a_projected_pos;attribute float a_fade_opacity;uniform bool u_is_size_zoom_constant;uniform bool u_is_size_feature_constant;uniform highp float u_size_t;uniform highp float u_size;uniform mat4 u_matrix;uniform mat4 u_label_plane_matrix;uniform mat4 u_coord_matrix;uniform bool u_is_text;uniform bool u_pitch_with_map;uniform highp float u_pitch;uniform bool u_rotate_symbol;uniform highp float u_aspect_ratio;uniform highp float u_camera_to_center_distance;uniform float u_fade_change;uniform vec2 u_texsize;varying vec2 v_data0;varying vec3 v_data1;\n#pragma mapbox: define highp vec4 fill_color\n#pragma mapbox: define highp vec4 halo_color\n#pragma mapbox: define lowp float opacity\n#pragma mapbox: define lowp float halo_width\n#pragma mapbox: define lowp float halo_blur\nvoid main() {\n#pragma mapbox: initialize highp vec4 fill_color\n#pragma mapbox: initialize highp vec4 halo_color\n#pragma mapbox: initialize lowp float opacity\n#pragma mapbox: initialize lowp float halo_width\n#pragma mapbox: initialize lowp float halo_blur\nvec2 a_pos=a_pos_offset.xy;vec2 a_offset=a_pos_offset.zw;vec2 a_tex=a_data.xy;vec2 a_size=a_data.zw;float a_size_min=floor(a_size[0]*0.5);vec2 a_pxoffset=a_pixeloffset.xy;highp float segment_angle=-a_projected_pos[2];float size;if (!u_is_size_zoom_constant && !u_is_size_feature_constant) {size=mix(a_size_min,a_size[1],u_size_t)/128.0;} else if (u_is_size_zoom_constant && !u_is_size_feature_constant) {size=a_size_min/128.0;} else {size=u_size;}vec4 projectedPoint=u_matrix*vec4(a_pos,0,1);highp float camera_to_anchor_distance=projectedPoint.w;highp float distance_ratio=u_pitch_with_map ?\ncamera_to_anchor_distance/u_camera_to_center_distance :\nu_camera_to_center_distance/camera_to_anchor_distance;highp float perspective_ratio=clamp(0.5+0.5*distance_ratio,0.0,4.0);size*=perspective_ratio;float fontScale=u_is_text ? size/24.0 : size;highp float symbol_rotation=0.0;if (u_rotate_symbol) {vec4 offsetProjectedPoint=u_matrix*vec4(a_pos+vec2(1,0),0,1);vec2 a=projectedPoint.xy/projectedPoint.w;vec2 b=offsetProjectedPoint.xy/offsetProjectedPoint.w;symbol_rotation=atan((b.y-a.y)/u_aspect_ratio,b.x-a.x);}highp float angle_sin=sin(segment_angle+symbol_rotation);highp float angle_cos=cos(segment_angle+symbol_rotation);mat2 rotation_matrix=mat2(angle_cos,-1.0*angle_sin,angle_sin,angle_cos);vec4 projected_pos=u_label_plane_matrix*vec4(a_projected_pos.xy,0.0,1.0);gl_Position=u_coord_matrix*vec4(projected_pos.xy/projected_pos.w+rotation_matrix*(a_offset/32.0*fontScale+a_pxoffset),0.0,1.0);float gamma_scale=gl_Position.w;vec2 fade_opacity=unpack_opacity(a_fade_opacity);float fade_change=fade_opacity[1] > 0.5 ? u_fade_change :-u_fade_change;float interpolated_fade_opacity=max(0.0,min(1.0,fade_opacity[0]+fade_change));v_data0=a_tex/u_texsize;v_data1=vec3(gamma_scale,size,interpolated_fade_opacity);}"),br=_r("#define SDF_PX 8.0\n#define SDF 1.0\n#define ICON 0.0\nuniform bool u_is_halo;uniform sampler2D u_texture;uniform sampler2D u_texture_icon;uniform highp float u_gamma_scale;uniform lowp float u_device_pixel_ratio;varying vec4 v_data0;varying vec4 v_data1;\n#pragma mapbox: define highp vec4 fill_color\n#pragma mapbox: define highp vec4 halo_color\n#pragma mapbox: define lowp float opacity\n#pragma mapbox: define lowp float halo_width\n#pragma mapbox: define lowp float halo_blur\nvoid main() {\n#pragma mapbox: initialize highp vec4 fill_color\n#pragma mapbox: initialize highp vec4 halo_color\n#pragma mapbox: initialize lowp float opacity\n#pragma mapbox: initialize lowp float halo_width\n#pragma mapbox: initialize lowp float halo_blur\nfloat fade_opacity=v_data1[2];if (v_data1.w==ICON) {vec2 tex_icon=v_data0.zw;lowp float alpha=opacity*fade_opacity;gl_FragColor=texture2D(u_texture_icon,tex_icon)*alpha;\n#ifdef OVERDRAW_INSPECTOR\ngl_FragColor=vec4(1.0);\n#endif\nreturn;}vec2 tex=v_data0.xy;float EDGE_GAMMA=0.105/u_device_pixel_ratio;float gamma_scale=v_data1.x;float size=v_data1.y;float fontScale=size/24.0;lowp vec4 color=fill_color;highp float gamma=EDGE_GAMMA/(fontScale*u_gamma_scale);lowp float buff=(256.0-64.0)/256.0;if (u_is_halo) {color=halo_color;gamma=(halo_blur*1.19/SDF_PX+EDGE_GAMMA)/(fontScale*u_gamma_scale);buff=(6.0-halo_width/fontScale)/SDF_PX;}lowp float dist=texture2D(u_texture,tex).a;highp float gamma_scaled=gamma*gamma_scale;highp float alpha=smoothstep(buff-gamma_scaled,buff+gamma_scaled,dist);gl_FragColor=color*(alpha*opacity*fade_opacity);\n#ifdef OVERDRAW_INSPECTOR\ngl_FragColor=vec4(1.0);\n#endif\n}","const float PI=3.141592653589793;attribute vec4 a_pos_offset;attribute vec4 a_data;attribute vec3 a_projected_pos;attribute float a_fade_opacity;uniform bool u_is_size_zoom_constant;uniform bool u_is_size_feature_constant;uniform highp float u_size_t;uniform highp float u_size;uniform mat4 u_matrix;uniform mat4 u_label_plane_matrix;uniform mat4 u_coord_matrix;uniform bool u_is_text;uniform bool u_pitch_with_map;uniform highp float u_pitch;uniform bool u_rotate_symbol;uniform highp float u_aspect_ratio;uniform highp float u_camera_to_center_distance;uniform float u_fade_change;uniform vec2 u_texsize;uniform vec2 u_texsize_icon;varying vec4 v_data0;varying vec4 v_data1;\n#pragma mapbox: define highp vec4 fill_color\n#pragma mapbox: define highp vec4 halo_color\n#pragma mapbox: define lowp float opacity\n#pragma mapbox: define lowp float halo_width\n#pragma mapbox: define lowp float halo_blur\nvoid main() {\n#pragma mapbox: initialize highp vec4 fill_color\n#pragma mapbox: initialize highp vec4 halo_color\n#pragma mapbox: initialize lowp float opacity\n#pragma mapbox: initialize lowp float halo_width\n#pragma mapbox: initialize lowp float halo_blur\nvec2 a_pos=a_pos_offset.xy;vec2 a_offset=a_pos_offset.zw;vec2 a_tex=a_data.xy;vec2 a_size=a_data.zw;float a_size_min=floor(a_size[0]*0.5);float is_sdf=a_size[0]-2.0*a_size_min;highp float segment_angle=-a_projected_pos[2];float size;if (!u_is_size_zoom_constant && !u_is_size_feature_constant) {size=mix(a_size_min,a_size[1],u_size_t)/128.0;} else if (u_is_size_zoom_constant && !u_is_size_feature_constant) {size=a_size_min/128.0;} else {size=u_size;}vec4 projectedPoint=u_matrix*vec4(a_pos,0,1);highp float camera_to_anchor_distance=projectedPoint.w;highp float distance_ratio=u_pitch_with_map ?\ncamera_to_anchor_distance/u_camera_to_center_distance :\nu_camera_to_center_distance/camera_to_anchor_distance;highp float perspective_ratio=clamp(0.5+0.5*distance_ratio,0.0,4.0);size*=perspective_ratio;float fontScale=size/24.0;highp float symbol_rotation=0.0;if (u_rotate_symbol) {vec4 offsetProjectedPoint=u_matrix*vec4(a_pos+vec2(1,0),0,1);vec2 a=projectedPoint.xy/projectedPoint.w;vec2 b=offsetProjectedPoint.xy/offsetProjectedPoint.w;symbol_rotation=atan((b.y-a.y)/u_aspect_ratio,b.x-a.x);}highp float angle_sin=sin(segment_angle+symbol_rotation);highp float angle_cos=cos(segment_angle+symbol_rotation);mat2 rotation_matrix=mat2(angle_cos,-1.0*angle_sin,angle_sin,angle_cos);vec4 projected_pos=u_label_plane_matrix*vec4(a_projected_pos.xy,0.0,1.0);gl_Position=u_coord_matrix*vec4(projected_pos.xy/projected_pos.w+rotation_matrix*(a_offset/32.0*fontScale),0.0,1.0);float gamma_scale=gl_Position.w;vec2 fade_opacity=unpack_opacity(a_fade_opacity);float fade_change=fade_opacity[1] > 0.5 ? u_fade_change :-u_fade_change;float interpolated_fade_opacity=max(0.0,min(1.0,fade_opacity[0]+fade_change));v_data0.xy=a_tex/u_texsize;v_data0.zw=a_tex/u_texsize_icon;v_data1=vec4(gamma_scale,size,interpolated_fade_opacity,is_sdf);}");function _r(t,e){var r=/#pragma mapbox: ([\w]+) ([\w]+) ([\w]+) ([\w]+)/g,n=e.match(/attribute ([\w]+) ([\w]+)/g),i=t.match(/uniform ([\w]+) ([\w]+)([\s]*)([\w]*)/g),a=e.match(/uniform ([\w]+) ([\w]+)([\s]*)([\w]*)/g),o=a?a.concat(i):i,s={};return{fragmentSource:t=t.replace(r,(function(t,e,r,n,i){return s[i]=!0,"define"===e?"\n#ifndef HAS_UNIFORM_u_"+i+"\nvarying "+r+" "+n+" "+i+";\n#else\nuniform "+r+" "+n+" u_"+i+";\n#endif\n":"\n#ifdef HAS_UNIFORM_u_"+i+"\n "+r+" "+n+" "+i+" = u_"+i+";\n#endif\n"})),vertexSource:e=e.replace(r,(function(t,e,r,n,i){var a="float"===n?"vec2":"vec4",o=i.match(/color/)?"color":a;return s[i]?"define"===e?"\n#ifndef HAS_UNIFORM_u_"+i+"\nuniform lowp float u_"+i+"_t;\nattribute "+r+" "+a+" a_"+i+";\nvarying "+r+" "+n+" "+i+";\n#else\nuniform "+r+" "+n+" u_"+i+";\n#endif\n":"vec4"===o?"\n#ifndef HAS_UNIFORM_u_"+i+"\n "+i+" = a_"+i+";\n#else\n "+r+" "+n+" "+i+" = u_"+i+";\n#endif\n":"\n#ifndef HAS_UNIFORM_u_"+i+"\n "+i+" = unpack_mix_"+o+"(a_"+i+", u_"+i+"_t);\n#else\n "+r+" "+n+" "+i+" = u_"+i+";\n#endif\n":"define"===e?"\n#ifndef HAS_UNIFORM_u_"+i+"\nuniform lowp float u_"+i+"_t;\nattribute "+r+" "+a+" a_"+i+";\n#else\nuniform "+r+" "+n+" u_"+i+";\n#endif\n":"vec4"===o?"\n#ifndef HAS_UNIFORM_u_"+i+"\n "+r+" "+n+" "+i+" = a_"+i+";\n#else\n "+r+" "+n+" "+i+" = u_"+i+";\n#endif\n":"\n#ifndef HAS_UNIFORM_u_"+i+"\n "+r+" "+n+" "+i+" = unpack_mix_"+o+"(a_"+i+", u_"+i+"_t);\n#else\n "+r+" "+n+" "+i+" = u_"+i+";\n#endif\n"})),staticAttributes:n,staticUniforms:o}}var wr=Object.freeze({__proto__:null,prelude:Ze,background:Ke,backgroundPattern:Je,circle:$e,clippingMask:Qe,heatmap:tr,heatmapTexture:er,collisionBox:rr,collisionCircle:nr,debug:ir,fill:ar,fillOutline:or,fillOutlinePattern:sr,fillPattern:lr,fillExtrusion:ur,fillExtrusionPattern:cr,hillshadePrepare:fr,hillshade:hr,line:pr,lineGradient:dr,linePattern:vr,lineSDF:gr,raster:yr,symbolIcon:mr,symbolSDF:xr,symbolTextAndIcon:br}),Tr=function(){this.boundProgram=null,this.boundLayoutVertexBuffer=null,this.boundPaintVertexBuffers=[],this.boundIndexBuffer=null,this.boundVertexOffset=null,this.boundDynamicVertexBuffer=null,this.vao=null};function kr(t){for(var e=[],r=0;r>16,s>>16],u_pixel_coord_lower:[65535&o,65535&s]}}Ar.prototype.draw=function(t,e,r,n,i,a,o,s,l,u,c,f,h,p,d,v){var g,y=t.gl;if(!this.failedToCreate){for(var m in t.program.set(this.program),t.setDepthMode(r),t.setStencilMode(n),t.setColorMode(i),t.setCullFace(a),this.fixedUniforms)this.fixedUniforms[m].set(o[m]);p&&p.setUniforms(t,this.binderUniforms,f,{zoom:h});for(var x=(g={},g[y.LINES]=2,g[y.TRIANGLES]=3,g[y.LINE_STRIP]=1,g)[e],b=0,_=c.get();b<_.length;b+=1){var w=_[b],T=w.vaos||(w.vaos={});(T[s]||(T[s]=new Tr)).bind(t,this,l,p?p.getPaintVertexBuffers():[],u,w.vertexOffset,d,v),y.drawElements(e,w.primitiveLength*x,y.UNSIGNED_SHORT,w.primitiveOffset*x*2)}}};var Sr=function(e,r,n,i){var a=r.style.light,o=a.properties.get("position"),s=[o.x,o.y,o.z],l=t.create$1();"viewport"===a.properties.get("anchor")&&t.fromRotation(l,-r.transform.angle),t.transformMat3(s,s,l);var u=a.properties.get("color");return{u_matrix:e,u_lightpos:s,u_lightintensity:a.properties.get("intensity"),u_lightcolor:[u.r,u.g,u.b],u_vertical_gradient:+n,u_opacity:i}},Er=function(e,r,n,i,a,o,s){return t.extend(Sr(e,r,n,i),Mr(o,r,s),{u_height_factor:-Math.pow(2,a.overscaledZ)/s.tileSize/8})},Lr=function(t){return{u_matrix:t}},Cr=function(e,r,n,i){return t.extend(Lr(e),Mr(n,r,i))},Pr=function(t,e){return{u_matrix:t,u_world:e}},Or=function(e,r,n,i,a){return t.extend(Cr(e,r,n,i),{u_world:a})},Ir=function(e,r,n,i){var a,o,s=e.transform;if("map"===i.paint.get("circle-pitch-alignment")){var l=ge(n,1,s.zoom);a=!0,o=[l,l]}else a=!1,o=s.pixelsToGLUnits;return{u_camera_to_center_distance:s.cameraToCenterDistance,u_scale_with_map:+("map"===i.paint.get("circle-pitch-scale")),u_matrix:e.translatePosMatrix(r.posMatrix,n,i.paint.get("circle-translate"),i.paint.get("circle-translate-anchor")),u_pitch_with_map:+a,u_device_pixel_ratio:t.browser.devicePixelRatio,u_extrude_scale:o}},Dr=function(t,e,r){var n=ge(r,1,e.zoom),i=Math.pow(2,e.zoom-r.tileID.overscaledZ),a=r.tileID.overscaleFactor();return{u_matrix:t,u_camera_to_center_distance:e.cameraToCenterDistance,u_pixels_to_tile_units:n,u_extrude_scale:[e.pixelsToGLUnits[0]/(n*i),e.pixelsToGLUnits[1]/(n*i)],u_overscale_factor:a}},zr=function(t,e,r){return{u_matrix:t,u_inv_matrix:e,u_camera_to_center_distance:r.cameraToCenterDistance,u_viewport_size:[r.width,r.height]}},Rr=function(t,e,r){return void 0===r&&(r=1),{u_matrix:t,u_color:e,u_overlay:0,u_overlay_scale:r}},Fr=function(t){return{u_matrix:t}},Br=function(t,e,r,n){return{u_matrix:t,u_extrude_scale:ge(e,1,r),u_intensity:n}},Nr=function(e,r,n,i){var a=t.create();t.ortho(a,0,e.width,e.height,0,0,1);var o=e.context.gl;return{u_matrix:a,u_world:[o.drawingBufferWidth,o.drawingBufferHeight],u_image:n,u_color_ramp:i,u_opacity:r.paint.get("heatmap-opacity")}},jr=function(e,r,n){var i=n.paint.get("hillshade-shadow-color"),a=n.paint.get("hillshade-highlight-color"),o=n.paint.get("hillshade-accent-color"),s=n.paint.get("hillshade-illumination-direction")*(Math.PI/180);"viewport"===n.paint.get("hillshade-illumination-anchor")&&(s-=e.transform.angle);var l,u,c,f=!e.options.moving;return{u_matrix:e.transform.calculatePosMatrix(r.tileID.toUnwrapped(),f),u_image:0,u_latrange:(l=r.tileID,u=Math.pow(2,l.canonical.z),c=l.canonical.y,[new t.MercatorCoordinate(0,c/u).toLngLat().lat,new t.MercatorCoordinate(0,(c+1)/u).toLngLat().lat]),u_light:[n.paint.get("hillshade-exaggeration"),s],u_shadow:i,u_highlight:a,u_accent:o}},Ur=function(e,r){var n=r.stride,i=t.create();return t.ortho(i,0,t.EXTENT,-t.EXTENT,0,0,1),t.translate(i,i,[0,-t.EXTENT,0]),{u_matrix:i,u_image:1,u_dimension:[n,n],u_zoom:e.overscaledZ,u_unpack:r.getUnpackVector()}};var Vr=function(e,r,n){var i=e.transform;return{u_matrix:Yr(e,r,n),u_ratio:1/ge(r,1,i.zoom),u_device_pixel_ratio:t.browser.devicePixelRatio,u_units_to_pixels:[1/i.pixelsToGLUnits[0],1/i.pixelsToGLUnits[1]]}},qr=function(e,r,n,i){return t.extend(Vr(e,r,n),{u_image:0,u_image_height:i})},Hr=function(e,r,n,i){var a=e.transform,o=Wr(r,a);return{u_matrix:Yr(e,r,n),u_texsize:r.imageAtlasTexture.size,u_ratio:1/ge(r,1,a.zoom),u_device_pixel_ratio:t.browser.devicePixelRatio,u_image:0,u_scale:[o,i.fromScale,i.toScale],u_fade:i.t,u_units_to_pixels:[1/a.pixelsToGLUnits[0],1/a.pixelsToGLUnits[1]]}},Gr=function(e,r,n,i,a){var o=e.transform,s=e.lineAtlas,l=Wr(r,o),u="round"===n.layout.get("line-cap"),c=s.getDash(i.from,u),f=s.getDash(i.to,u),h=c.width*a.fromScale,p=f.width*a.toScale;return t.extend(Vr(e,r,n),{u_patternscale_a:[l/h,-c.height/2],u_patternscale_b:[l/p,-f.height/2],u_sdfgamma:s.width/(256*Math.min(h,p)*t.browser.devicePixelRatio)/2,u_image:0,u_tex_y_a:c.y,u_tex_y_b:f.y,u_mix:a.t})};function Wr(t,e){return 1/ge(t,1,e.tileZoom)}function Yr(t,e,r){return t.translatePosMatrix(e.tileID.posMatrix,e,r.paint.get("line-translate"),r.paint.get("line-translate-anchor"))}var Xr=function(t,e,r,n,i){return{u_matrix:t,u_tl_parent:e,u_scale_parent:r,u_buffer_scale:1,u_fade_t:n.mix,u_opacity:n.opacity*i.paint.get("raster-opacity"),u_image0:0,u_image1:1,u_brightness_low:i.paint.get("raster-brightness-min"),u_brightness_high:i.paint.get("raster-brightness-max"),u_saturation_factor:(o=i.paint.get("raster-saturation"),o>0?1-1/(1.001-o):-o),u_contrast_factor:(a=i.paint.get("raster-contrast"),a>0?1/(1-a):1+a),u_spin_weights:Zr(i.paint.get("raster-hue-rotate"))};var a,o};function Zr(t){t*=Math.PI/180;var e=Math.sin(t),r=Math.cos(t);return[(2*r+1)/3,(-Math.sqrt(3)*e-r+1)/3,(Math.sqrt(3)*e-r+1)/3]}var Kr,Jr=function(t,e,r,n,i,a,o,s,l,u){var c=i.transform;return{u_is_size_zoom_constant:+("constant"===t||"source"===t),u_is_size_feature_constant:+("constant"===t||"camera"===t),u_size_t:e?e.uSizeT:0,u_size:e?e.uSize:0,u_camera_to_center_distance:c.cameraToCenterDistance,u_pitch:c.pitch/360*2*Math.PI,u_rotate_symbol:+r,u_aspect_ratio:c.width/c.height,u_fade_change:i.options.fadeDuration?i.symbolFadeChange:1,u_matrix:a,u_label_plane_matrix:o,u_coord_matrix:s,u_is_text:+l,u_pitch_with_map:+n,u_texsize:u,u_texture:0}},$r=function(e,r,n,i,a,o,s,l,u,c,f){var h=a.transform;return t.extend(Jr(e,r,n,i,a,o,s,l,u,c),{u_gamma_scale:i?Math.cos(h._pitch)*h.cameraToCenterDistance:1,u_device_pixel_ratio:t.browser.devicePixelRatio,u_is_halo:+f})},Qr=function(e,r,n,i,a,o,s,l,u,c){return t.extend($r(e,r,n,i,a,o,s,l,!0,u,!0),{u_texsize_icon:c,u_texture_icon:1})},tn=function(t,e,r){return{u_matrix:t,u_opacity:e,u_color:r}},en=function(e,r,n,i,a,o){return t.extend(function(t,e,r,n){var i=r.imageManager.getPattern(t.from.toString()),a=r.imageManager.getPattern(t.to.toString()),o=r.imageManager.getPixelSize(),s=o.width,l=o.height,u=Math.pow(2,n.tileID.overscaledZ),c=n.tileSize*Math.pow(2,r.transform.tileZoom)/u,f=c*(n.tileID.canonical.x+n.tileID.wrap*u),h=c*n.tileID.canonical.y;return{u_image:0,u_pattern_tl_a:i.tl,u_pattern_br_a:i.br,u_pattern_tl_b:a.tl,u_pattern_br_b:a.br,u_texsize:[s,l],u_mix:e.t,u_pattern_size_a:i.displaySize,u_pattern_size_b:a.displaySize,u_scale_a:e.fromScale,u_scale_b:e.toScale,u_tile_units_to_pixels:1/ge(n,1,r.transform.tileZoom),u_pixel_coord_upper:[f>>16,h>>16],u_pixel_coord_lower:[65535&f,65535&h]}}(i,o,n,a),{u_matrix:e,u_opacity:r})},rn={fillExtrusion:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_lightpos:new t.Uniform3f(e,r.u_lightpos),u_lightintensity:new t.Uniform1f(e,r.u_lightintensity),u_lightcolor:new t.Uniform3f(e,r.u_lightcolor),u_vertical_gradient:new t.Uniform1f(e,r.u_vertical_gradient),u_opacity:new t.Uniform1f(e,r.u_opacity)}},fillExtrusionPattern:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_lightpos:new t.Uniform3f(e,r.u_lightpos),u_lightintensity:new t.Uniform1f(e,r.u_lightintensity),u_lightcolor:new t.Uniform3f(e,r.u_lightcolor),u_vertical_gradient:new t.Uniform1f(e,r.u_vertical_gradient),u_height_factor:new t.Uniform1f(e,r.u_height_factor),u_image:new t.Uniform1i(e,r.u_image),u_texsize:new t.Uniform2f(e,r.u_texsize),u_pixel_coord_upper:new t.Uniform2f(e,r.u_pixel_coord_upper),u_pixel_coord_lower:new t.Uniform2f(e,r.u_pixel_coord_lower),u_scale:new t.Uniform3f(e,r.u_scale),u_fade:new t.Uniform1f(e,r.u_fade),u_opacity:new t.Uniform1f(e,r.u_opacity)}},fill:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix)}},fillPattern:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_image:new t.Uniform1i(e,r.u_image),u_texsize:new t.Uniform2f(e,r.u_texsize),u_pixel_coord_upper:new t.Uniform2f(e,r.u_pixel_coord_upper),u_pixel_coord_lower:new t.Uniform2f(e,r.u_pixel_coord_lower),u_scale:new t.Uniform3f(e,r.u_scale),u_fade:new t.Uniform1f(e,r.u_fade)}},fillOutline:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_world:new t.Uniform2f(e,r.u_world)}},fillOutlinePattern:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_world:new t.Uniform2f(e,r.u_world),u_image:new t.Uniform1i(e,r.u_image),u_texsize:new t.Uniform2f(e,r.u_texsize),u_pixel_coord_upper:new t.Uniform2f(e,r.u_pixel_coord_upper),u_pixel_coord_lower:new t.Uniform2f(e,r.u_pixel_coord_lower),u_scale:new t.Uniform3f(e,r.u_scale),u_fade:new t.Uniform1f(e,r.u_fade)}},circle:function(e,r){return{u_camera_to_center_distance:new t.Uniform1f(e,r.u_camera_to_center_distance),u_scale_with_map:new t.Uniform1i(e,r.u_scale_with_map),u_pitch_with_map:new t.Uniform1i(e,r.u_pitch_with_map),u_extrude_scale:new t.Uniform2f(e,r.u_extrude_scale),u_device_pixel_ratio:new t.Uniform1f(e,r.u_device_pixel_ratio),u_matrix:new t.UniformMatrix4f(e,r.u_matrix)}},collisionBox:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_camera_to_center_distance:new t.Uniform1f(e,r.u_camera_to_center_distance),u_pixels_to_tile_units:new t.Uniform1f(e,r.u_pixels_to_tile_units),u_extrude_scale:new t.Uniform2f(e,r.u_extrude_scale),u_overscale_factor:new t.Uniform1f(e,r.u_overscale_factor)}},collisionCircle:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_inv_matrix:new t.UniformMatrix4f(e,r.u_inv_matrix),u_camera_to_center_distance:new t.Uniform1f(e,r.u_camera_to_center_distance),u_viewport_size:new t.Uniform2f(e,r.u_viewport_size)}},debug:function(e,r){return{u_color:new t.UniformColor(e,r.u_color),u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_overlay:new t.Uniform1i(e,r.u_overlay),u_overlay_scale:new t.Uniform1f(e,r.u_overlay_scale)}},clippingMask:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix)}},heatmap:function(e,r){return{u_extrude_scale:new t.Uniform1f(e,r.u_extrude_scale),u_intensity:new t.Uniform1f(e,r.u_intensity),u_matrix:new t.UniformMatrix4f(e,r.u_matrix)}},heatmapTexture:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_world:new t.Uniform2f(e,r.u_world),u_image:new t.Uniform1i(e,r.u_image),u_color_ramp:new t.Uniform1i(e,r.u_color_ramp),u_opacity:new t.Uniform1f(e,r.u_opacity)}},hillshade:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_image:new t.Uniform1i(e,r.u_image),u_latrange:new t.Uniform2f(e,r.u_latrange),u_light:new t.Uniform2f(e,r.u_light),u_shadow:new t.UniformColor(e,r.u_shadow),u_highlight:new t.UniformColor(e,r.u_highlight),u_accent:new t.UniformColor(e,r.u_accent)}},hillshadePrepare:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_image:new t.Uniform1i(e,r.u_image),u_dimension:new t.Uniform2f(e,r.u_dimension),u_zoom:new t.Uniform1f(e,r.u_zoom),u_unpack:new t.Uniform4f(e,r.u_unpack)}},line:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_ratio:new t.Uniform1f(e,r.u_ratio),u_device_pixel_ratio:new t.Uniform1f(e,r.u_device_pixel_ratio),u_units_to_pixels:new t.Uniform2f(e,r.u_units_to_pixels)}},lineGradient:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_ratio:new t.Uniform1f(e,r.u_ratio),u_device_pixel_ratio:new t.Uniform1f(e,r.u_device_pixel_ratio),u_units_to_pixels:new t.Uniform2f(e,r.u_units_to_pixels),u_image:new t.Uniform1i(e,r.u_image),u_image_height:new t.Uniform1f(e,r.u_image_height)}},linePattern:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_texsize:new t.Uniform2f(e,r.u_texsize),u_ratio:new t.Uniform1f(e,r.u_ratio),u_device_pixel_ratio:new t.Uniform1f(e,r.u_device_pixel_ratio),u_image:new t.Uniform1i(e,r.u_image),u_units_to_pixels:new t.Uniform2f(e,r.u_units_to_pixels),u_scale:new t.Uniform3f(e,r.u_scale),u_fade:new t.Uniform1f(e,r.u_fade)}},lineSDF:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_ratio:new t.Uniform1f(e,r.u_ratio),u_device_pixel_ratio:new t.Uniform1f(e,r.u_device_pixel_ratio),u_units_to_pixels:new t.Uniform2f(e,r.u_units_to_pixels),u_patternscale_a:new t.Uniform2f(e,r.u_patternscale_a),u_patternscale_b:new t.Uniform2f(e,r.u_patternscale_b),u_sdfgamma:new t.Uniform1f(e,r.u_sdfgamma),u_image:new t.Uniform1i(e,r.u_image),u_tex_y_a:new t.Uniform1f(e,r.u_tex_y_a),u_tex_y_b:new t.Uniform1f(e,r.u_tex_y_b),u_mix:new t.Uniform1f(e,r.u_mix)}},raster:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_tl_parent:new t.Uniform2f(e,r.u_tl_parent),u_scale_parent:new t.Uniform1f(e,r.u_scale_parent),u_buffer_scale:new t.Uniform1f(e,r.u_buffer_scale),u_fade_t:new t.Uniform1f(e,r.u_fade_t),u_opacity:new t.Uniform1f(e,r.u_opacity),u_image0:new t.Uniform1i(e,r.u_image0),u_image1:new t.Uniform1i(e,r.u_image1),u_brightness_low:new t.Uniform1f(e,r.u_brightness_low),u_brightness_high:new t.Uniform1f(e,r.u_brightness_high),u_saturation_factor:new t.Uniform1f(e,r.u_saturation_factor),u_contrast_factor:new t.Uniform1f(e,r.u_contrast_factor),u_spin_weights:new t.Uniform3f(e,r.u_spin_weights)}},symbolIcon:function(e,r){return{u_is_size_zoom_constant:new t.Uniform1i(e,r.u_is_size_zoom_constant),u_is_size_feature_constant:new t.Uniform1i(e,r.u_is_size_feature_constant),u_size_t:new t.Uniform1f(e,r.u_size_t),u_size:new t.Uniform1f(e,r.u_size),u_camera_to_center_distance:new t.Uniform1f(e,r.u_camera_to_center_distance),u_pitch:new t.Uniform1f(e,r.u_pitch),u_rotate_symbol:new t.Uniform1i(e,r.u_rotate_symbol),u_aspect_ratio:new t.Uniform1f(e,r.u_aspect_ratio),u_fade_change:new t.Uniform1f(e,r.u_fade_change),u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_label_plane_matrix:new t.UniformMatrix4f(e,r.u_label_plane_matrix),u_coord_matrix:new t.UniformMatrix4f(e,r.u_coord_matrix),u_is_text:new t.Uniform1i(e,r.u_is_text),u_pitch_with_map:new t.Uniform1i(e,r.u_pitch_with_map),u_texsize:new t.Uniform2f(e,r.u_texsize),u_texture:new t.Uniform1i(e,r.u_texture)}},symbolSDF:function(e,r){return{u_is_size_zoom_constant:new t.Uniform1i(e,r.u_is_size_zoom_constant),u_is_size_feature_constant:new t.Uniform1i(e,r.u_is_size_feature_constant),u_size_t:new t.Uniform1f(e,r.u_size_t),u_size:new t.Uniform1f(e,r.u_size),u_camera_to_center_distance:new t.Uniform1f(e,r.u_camera_to_center_distance),u_pitch:new t.Uniform1f(e,r.u_pitch),u_rotate_symbol:new t.Uniform1i(e,r.u_rotate_symbol),u_aspect_ratio:new t.Uniform1f(e,r.u_aspect_ratio),u_fade_change:new t.Uniform1f(e,r.u_fade_change),u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_label_plane_matrix:new t.UniformMatrix4f(e,r.u_label_plane_matrix),u_coord_matrix:new t.UniformMatrix4f(e,r.u_coord_matrix),u_is_text:new t.Uniform1i(e,r.u_is_text),u_pitch_with_map:new t.Uniform1i(e,r.u_pitch_with_map),u_texsize:new t.Uniform2f(e,r.u_texsize),u_texture:new t.Uniform1i(e,r.u_texture),u_gamma_scale:new t.Uniform1f(e,r.u_gamma_scale),u_device_pixel_ratio:new t.Uniform1f(e,r.u_device_pixel_ratio),u_is_halo:new t.Uniform1i(e,r.u_is_halo)}},symbolTextAndIcon:function(e,r){return{u_is_size_zoom_constant:new t.Uniform1i(e,r.u_is_size_zoom_constant),u_is_size_feature_constant:new t.Uniform1i(e,r.u_is_size_feature_constant),u_size_t:new t.Uniform1f(e,r.u_size_t),u_size:new t.Uniform1f(e,r.u_size),u_camera_to_center_distance:new t.Uniform1f(e,r.u_camera_to_center_distance),u_pitch:new t.Uniform1f(e,r.u_pitch),u_rotate_symbol:new t.Uniform1i(e,r.u_rotate_symbol),u_aspect_ratio:new t.Uniform1f(e,r.u_aspect_ratio),u_fade_change:new t.Uniform1f(e,r.u_fade_change),u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_label_plane_matrix:new t.UniformMatrix4f(e,r.u_label_plane_matrix),u_coord_matrix:new t.UniformMatrix4f(e,r.u_coord_matrix),u_is_text:new t.Uniform1i(e,r.u_is_text),u_pitch_with_map:new t.Uniform1i(e,r.u_pitch_with_map),u_texsize:new t.Uniform2f(e,r.u_texsize),u_texsize_icon:new t.Uniform2f(e,r.u_texsize_icon),u_texture:new t.Uniform1i(e,r.u_texture),u_texture_icon:new t.Uniform1i(e,r.u_texture_icon),u_gamma_scale:new t.Uniform1f(e,r.u_gamma_scale),u_device_pixel_ratio:new t.Uniform1f(e,r.u_device_pixel_ratio),u_is_halo:new t.Uniform1i(e,r.u_is_halo)}},background:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_opacity:new t.Uniform1f(e,r.u_opacity),u_color:new t.UniformColor(e,r.u_color)}},backgroundPattern:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_opacity:new t.Uniform1f(e,r.u_opacity),u_image:new t.Uniform1i(e,r.u_image),u_pattern_tl_a:new t.Uniform2f(e,r.u_pattern_tl_a),u_pattern_br_a:new t.Uniform2f(e,r.u_pattern_br_a),u_pattern_tl_b:new t.Uniform2f(e,r.u_pattern_tl_b),u_pattern_br_b:new t.Uniform2f(e,r.u_pattern_br_b),u_texsize:new t.Uniform2f(e,r.u_texsize),u_mix:new t.Uniform1f(e,r.u_mix),u_pattern_size_a:new t.Uniform2f(e,r.u_pattern_size_a),u_pattern_size_b:new t.Uniform2f(e,r.u_pattern_size_b),u_scale_a:new t.Uniform1f(e,r.u_scale_a),u_scale_b:new t.Uniform1f(e,r.u_scale_b),u_pixel_coord_upper:new t.Uniform2f(e,r.u_pixel_coord_upper),u_pixel_coord_lower:new t.Uniform2f(e,r.u_pixel_coord_lower),u_tile_units_to_pixels:new t.Uniform1f(e,r.u_tile_units_to_pixels)}}};function nn(e,r,n,i,a,o,s){for(var l=e.context,u=l.gl,c=e.useProgram("collisionBox"),f=[],h=0,p=0,d=0;d0){var _=t.create(),w=m;t.mul(_,y.placementInvProjMatrix,e.transform.glCoordMatrix),t.mul(_,_,y.placementViewportMatrix),f.push({circleArray:b,circleOffset:p,transform:w,invTransform:_}),p=h+=b.length/4}x&&c.draw(l,u.LINES,Mt.disabled,Et.disabled,e.colorModeForRenderPass(),Ct.disabled,Dr(m,e.transform,g),n.id,x.layoutVertexBuffer,x.indexBuffer,x.segments,null,e.transform.zoom,null,null,x.collisionVertexBuffer)}}if(s&&f.length){var T=e.useProgram("collisionCircle"),k=new t.StructArrayLayout2f1f2i16;k.resize(4*h),k._trim();for(var A=0,M=0,S=f;M=0&&(v[y.associatedIconIndex]={shiftedAnchor:S,angle:E})}else he(y.numGlyphs,p)}if(f){d.clear();for(var C=e.icon.placedSymbolArray,P=0;P0){var s=t.browser.now(),l=(s-e.timeAdded)/o,u=r?(s-r.timeAdded)/o:-1,c=n.getSource(),f=a.coveringZoomLevel({tileSize:c.tileSize,roundZoom:c.roundZoom}),h=!r||Math.abs(r.tileID.overscaledZ-f)>Math.abs(e.tileID.overscaledZ-f),p=h&&e.refreshedUponExpiration?1:t.clamp(h?l:1-u,0,1);return e.refreshedUponExpiration&&l>=1&&(e.refreshedUponExpiration=!1),r?{opacity:1,mix:1-p}:{opacity:p,mix:0}}return{opacity:1,mix:0}}var gn=new t.Color(1,0,0,1),yn=new t.Color(0,1,0,1),mn=new t.Color(0,0,1,1),xn=new t.Color(1,0,1,1),bn=new t.Color(0,1,1,1);function _n(t){var e=t.transform.padding;wn(t,t.transform.height-(e.top||0),3,gn),wn(t,e.bottom||0,3,yn),Tn(t,e.left||0,3,mn),Tn(t,t.transform.width-(e.right||0),3,xn);var r=t.transform.centerPoint;!function(t,e,r,n){var i=20,a=2;kn(t,e-a/2,r-i/2,a,i,n),kn(t,e-i/2,r-a/2,i,a,n)}(t,r.x,t.transform.height-r.y,bn)}function wn(t,e,r,n){kn(t,0,e+r/2,t.transform.width,r,n)}function Tn(t,e,r,n){kn(t,e-r/2,0,r,t.transform.height,n)}function kn(e,r,n,i,a,o){var s=e.context,l=s.gl;l.enable(l.SCISSOR_TEST),l.scissor(r*t.browser.devicePixelRatio,n*t.browser.devicePixelRatio,i*t.browser.devicePixelRatio,a*t.browser.devicePixelRatio),s.clear({color:o}),l.disable(l.SCISSOR_TEST)}function An(e,r,n){var i=e.context,a=i.gl,o=n.posMatrix,s=e.useProgram("debug"),l=Mt.disabled,u=Et.disabled,c=e.colorModeForRenderPass(),f="$debug";i.activeTexture.set(a.TEXTURE0),e.emptyTexture.bind(a.LINEAR,a.CLAMP_TO_EDGE),s.draw(i,a.LINE_STRIP,l,u,c,Ct.disabled,Rr(o,t.Color.red),f,e.debugBuffer,e.tileBorderIndexBuffer,e.debugSegments);var h=r.getTileByID(n.key).latestRawTileData,p=h&&h.byteLength||0,d=Math.floor(p/1024),v=r.getTile(n).tileSize,g=512/Math.min(v,512)*(n.overscaledZ/e.transform.zoom)*.5,y=n.canonical.toString();n.overscaledZ!==n.canonical.z&&(y+=" => "+n.overscaledZ),function(t,e){t.initDebugOverlayCanvas();var r=t.debugOverlayCanvas,n=t.context.gl,i=t.debugOverlayCanvas.getContext("2d");i.clearRect(0,0,r.width,r.height),i.shadowColor="white",i.shadowBlur=2,i.lineWidth=1.5,i.strokeStyle="white",i.textBaseline="top",i.font="bold 36px Open Sans, sans-serif",i.fillText(e,5,5),i.strokeText(e,5,5),t.debugOverlayTexture.update(r),t.debugOverlayTexture.bind(n.LINEAR,n.CLAMP_TO_EDGE)}(e,y+" "+d+"kb"),s.draw(i,a.TRIANGLES,l,u,Lt.alphaBlended,Ct.disabled,Rr(o,t.Color.transparent,g),f,e.debugBuffer,e.quadTriangleIndexBuffer,e.debugSegments)}var Mn={symbol:function(e,r,n,i,a){if("translucent"===e.renderPass){var o=Et.disabled,s=e.colorModeForRenderPass();n.layout.get("text-variable-anchor")&&function(e,r,n,i,a,o,s){for(var l=r.transform,u="map"===a,c="map"===o,f=0,h=e;f256&&this.clearStencil(),r.setColorMode(Lt.disabled),r.setDepthMode(Mt.disabled);var i=this.useProgram("clippingMask");this._tileClippingMaskIDs={};for(var a=0,o=e;a256&&this.clearStencil();var t=this.nextStencilID++,e=this.context.gl;return new Et({func:e.NOTEQUAL,mask:255},t,255,e.KEEP,e.KEEP,e.REPLACE)},Sn.prototype.stencilModeForClipping=function(t){var e=this.context.gl;return new Et({func:e.EQUAL,mask:255},this._tileClippingMaskIDs[t.key],0,e.KEEP,e.KEEP,e.REPLACE)},Sn.prototype.stencilConfigForOverlap=function(t){var e,r=this.context.gl,n=t.sort((function(t,e){return e.overscaledZ-t.overscaledZ})),i=n[n.length-1].overscaledZ,a=n[0].overscaledZ-i+1;if(a>1){this.currentStencilSource=void 0,this.nextStencilID+a>256&&this.clearStencil();for(var o={},s=0;s=0;this.currentLayer--){var w=this.style._layers[i[this.currentLayer]],T=a[w.source],k=c[w.source];this._renderTileClippingMasks(w,k),this.renderLayer(this,T,w,k)}for(this.renderPass="translucent",this.currentLayer=0;this.currentLayer0?e.pop():null},Sn.prototype.isPatternMissing=function(t){if(!t)return!1;if(!t.from||!t.to)return!0;var e=this.imageManager.getPattern(t.from.toString()),r=this.imageManager.getPattern(t.to.toString());return!e||!r},Sn.prototype.useProgram=function(t,e){this.cache=this.cache||{};var r=""+t+(e?e.cacheKey:"")+(this._showOverdrawInspector?"/overdraw":"");return this.cache[r]||(this.cache[r]=new Ar(this.context,t,wr[t],e,rn[t],this._showOverdrawInspector)),this.cache[r]},Sn.prototype.setCustomLayerDefaults=function(){this.context.unbindVAO(),this.context.cullFace.setDefault(),this.context.activeTexture.setDefault(),this.context.pixelStoreUnpack.setDefault(),this.context.pixelStoreUnpackPremultiplyAlpha.setDefault(),this.context.pixelStoreUnpackFlipY.setDefault()},Sn.prototype.setBaseState=function(){var t=this.context.gl;this.context.cullFace.set(!1),this.context.viewport.set([0,0,this.width,this.height]),this.context.blendEquation.set(t.FUNC_ADD)},Sn.prototype.initDebugOverlayCanvas=function(){if(null==this.debugOverlayCanvas){this.debugOverlayCanvas=t.window.document.createElement("canvas"),this.debugOverlayCanvas.width=512,this.debugOverlayCanvas.height=512;var e=this.context.gl;this.debugOverlayTexture=new t.Texture(this.context,this.debugOverlayCanvas,e.RGBA)}},Sn.prototype.destroy=function(){this.emptyTexture.destroy(),this.debugOverlayTexture&&this.debugOverlayTexture.destroy()};var En=function(t,e){this.points=t,this.planes=e};En.fromInvProjectionMatrix=function(e,r,n){var i=Math.pow(2,n),a=[[-1,1,-1,1],[1,1,-1,1],[1,-1,-1,1],[-1,-1,-1,1],[-1,1,1,1],[1,1,1,1],[1,-1,1,1],[-1,-1,1,1]].map((function(r){return t.transformMat4([],r,e)})).map((function(e){return t.scale$1([],e,1/e[3]/r*i)})),o=[[0,1,2],[6,5,4],[0,3,7],[2,1,5],[3,2,6],[0,4,5]].map((function(e){var r=t.sub([],a[e[0]],a[e[1]]),n=t.sub([],a[e[2]],a[e[1]]),i=t.normalize([],t.cross([],r,n)),o=-t.dot(i,a[e[1]]);return i.concat(o)}));return new En(a,o)};var Ln=function(e,r){this.min=e,this.max=r,this.center=t.scale$2([],t.add([],this.min,this.max),.5)};Ln.prototype.quadrant=function(e){for(var r=[e%2==0,e<2],n=t.clone$2(this.min),i=t.clone$2(this.max),a=0;a=0;if(0===o)return 0;o!==r.length&&(n=!1)}if(n)return 2;for(var l=0;l<3;l++){for(var u=Number.MAX_VALUE,c=-Number.MAX_VALUE,f=0;fthis.max[l]-this.min[l])return 0}return 1};var Cn=function(t,e,r,n){if(void 0===t&&(t=0),void 0===e&&(e=0),void 0===r&&(r=0),void 0===n&&(n=0),isNaN(t)||t<0||isNaN(e)||e<0||isNaN(r)||r<0||isNaN(n)||n<0)throw new Error("Invalid value for edge-insets, top, bottom, left and right must all be numbers");this.top=t,this.bottom=e,this.left=r,this.right=n};Cn.prototype.interpolate=function(e,r,n){return null!=r.top&&null!=e.top&&(this.top=t.number(e.top,r.top,n)),null!=r.bottom&&null!=e.bottom&&(this.bottom=t.number(e.bottom,r.bottom,n)),null!=r.left&&null!=e.left&&(this.left=t.number(e.left,r.left,n)),null!=r.right&&null!=e.right&&(this.right=t.number(e.right,r.right,n)),this},Cn.prototype.getCenter=function(e,r){var n=t.clamp((this.left+e-this.right)/2,0,e),i=t.clamp((this.top+r-this.bottom)/2,0,r);return new t.Point(n,i)},Cn.prototype.equals=function(t){return this.top===t.top&&this.bottom===t.bottom&&this.left===t.left&&this.right===t.right},Cn.prototype.clone=function(){return new Cn(this.top,this.bottom,this.left,this.right)},Cn.prototype.toJSON=function(){return{top:this.top,bottom:this.bottom,left:this.left,right:this.right}};var Pn=function(e,r,n,i,a){this.tileSize=512,this.maxValidLatitude=85.051129,this._renderWorldCopies=void 0===a||a,this._minZoom=e||0,this._maxZoom=r||22,this._minPitch=null==n?0:n,this._maxPitch=null==i?60:i,this.setMaxBounds(),this.width=0,this.height=0,this._center=new t.LngLat(0,0),this.zoom=0,this.angle=0,this._fov=.6435011087932844,this._pitch=0,this._unmodified=!0,this._edgeInsets=new Cn,this._posMatrixCache={},this._alignedPosMatrixCache={}},On={minZoom:{configurable:!0},maxZoom:{configurable:!0},minPitch:{configurable:!0},maxPitch:{configurable:!0},renderWorldCopies:{configurable:!0},worldSize:{configurable:!0},centerOffset:{configurable:!0},size:{configurable:!0},bearing:{configurable:!0},pitch:{configurable:!0},fov:{configurable:!0},zoom:{configurable:!0},center:{configurable:!0},padding:{configurable:!0},centerPoint:{configurable:!0},unmodified:{configurable:!0},point:{configurable:!0}};Pn.prototype.clone=function(){var t=new Pn(this._minZoom,this._maxZoom,this._minPitch,this.maxPitch,this._renderWorldCopies);return t.tileSize=this.tileSize,t.latRange=this.latRange,t.width=this.width,t.height=this.height,t._center=this._center,t.zoom=this.zoom,t.angle=this.angle,t._fov=this._fov,t._pitch=this._pitch,t._unmodified=this._unmodified,t._edgeInsets=this._edgeInsets.clone(),t._calcMatrices(),t},On.minZoom.get=function(){return this._minZoom},On.minZoom.set=function(t){this._minZoom!==t&&(this._minZoom=t,this.zoom=Math.max(this.zoom,t))},On.maxZoom.get=function(){return this._maxZoom},On.maxZoom.set=function(t){this._maxZoom!==t&&(this._maxZoom=t,this.zoom=Math.min(this.zoom,t))},On.minPitch.get=function(){return this._minPitch},On.minPitch.set=function(t){this._minPitch!==t&&(this._minPitch=t,this.pitch=Math.max(this.pitch,t))},On.maxPitch.get=function(){return this._maxPitch},On.maxPitch.set=function(t){this._maxPitch!==t&&(this._maxPitch=t,this.pitch=Math.min(this.pitch,t))},On.renderWorldCopies.get=function(){return this._renderWorldCopies},On.renderWorldCopies.set=function(t){void 0===t?t=!0:null===t&&(t=!1),this._renderWorldCopies=t},On.worldSize.get=function(){return this.tileSize*this.scale},On.centerOffset.get=function(){return this.centerPoint._sub(this.size._div(2))},On.size.get=function(){return new t.Point(this.width,this.height)},On.bearing.get=function(){return-this.angle/Math.PI*180},On.bearing.set=function(e){var r=-t.wrap(e,-180,180)*Math.PI/180;this.angle!==r&&(this._unmodified=!1,this.angle=r,this._calcMatrices(),this.rotationMatrix=t.create$2(),t.rotate(this.rotationMatrix,this.rotationMatrix,this.angle))},On.pitch.get=function(){return this._pitch/Math.PI*180},On.pitch.set=function(e){var r=t.clamp(e,this.minPitch,this.maxPitch)/180*Math.PI;this._pitch!==r&&(this._unmodified=!1,this._pitch=r,this._calcMatrices())},On.fov.get=function(){return this._fov/Math.PI*180},On.fov.set=function(t){t=Math.max(.01,Math.min(60,t)),this._fov!==t&&(this._unmodified=!1,this._fov=t/180*Math.PI,this._calcMatrices())},On.zoom.get=function(){return this._zoom},On.zoom.set=function(t){var e=Math.min(Math.max(t,this.minZoom),this.maxZoom);this._zoom!==e&&(this._unmodified=!1,this._zoom=e,this.scale=this.zoomScale(e),this.tileZoom=Math.floor(e),this.zoomFraction=e-this.tileZoom,this._constrain(),this._calcMatrices())},On.center.get=function(){return this._center},On.center.set=function(t){t.lat===this._center.lat&&t.lng===this._center.lng||(this._unmodified=!1,this._center=t,this._constrain(),this._calcMatrices())},On.padding.get=function(){return this._edgeInsets.toJSON()},On.padding.set=function(t){this._edgeInsets.equals(t)||(this._unmodified=!1,this._edgeInsets.interpolate(this._edgeInsets,t,1),this._calcMatrices())},On.centerPoint.get=function(){return this._edgeInsets.getCenter(this.width,this.height)},Pn.prototype.isPaddingEqual=function(t){return this._edgeInsets.equals(t)},Pn.prototype.interpolatePadding=function(t,e,r){this._unmodified=!1,this._edgeInsets.interpolate(t,e,r),this._constrain(),this._calcMatrices()},Pn.prototype.coveringZoomLevel=function(t){var e=(t.roundZoom?Math.round:Math.floor)(this.zoom+this.scaleZoom(this.tileSize/t.tileSize));return Math.max(0,e)},Pn.prototype.getVisibleUnwrappedCoordinates=function(e){var r=[new t.UnwrappedTileID(0,e)];if(this._renderWorldCopies)for(var n=this.pointCoordinate(new t.Point(0,0)),i=this.pointCoordinate(new t.Point(this.width,0)),a=this.pointCoordinate(new t.Point(this.width,this.height)),o=this.pointCoordinate(new t.Point(0,this.height)),s=Math.floor(Math.min(n.x,i.x,a.x,o.x)),l=Math.floor(Math.max(n.x,i.x,a.x,o.x)),u=s-1;u<=l+1;u++)0!==u&&r.push(new t.UnwrappedTileID(u,e));return r},Pn.prototype.coveringTiles=function(e){var r=this.coveringZoomLevel(e),n=r;if(void 0!==e.minzoom&&re.maxzoom&&(r=e.maxzoom);var i=t.MercatorCoordinate.fromLngLat(this.center),a=Math.pow(2,r),o=[a*i.x,a*i.y,0],s=En.fromInvProjectionMatrix(this.invProjMatrix,this.worldSize,r),l=e.minzoom||0;this.pitch<=60&&this._edgeInsets.top<.1&&(l=r);var u=function(t){return{aabb:new Ln([t*a,0,0],[(t+1)*a,a,0]),zoom:0,x:0,y:0,wrap:t,fullyVisible:!1}},c=[],f=[],h=r,p=e.reparseOverscaled?n:r;if(this._renderWorldCopies)for(var d=1;d<=3;d++)c.push(u(-d)),c.push(u(d));for(c.push(u(0));c.length>0;){var v=c.pop(),g=v.x,y=v.y,m=v.fullyVisible;if(!m){var x=v.aabb.intersects(s);if(0===x)continue;m=2===x}var b=v.aabb.distanceX(o),_=v.aabb.distanceY(o),w=Math.max(Math.abs(b),Math.abs(_)),T=3+(1<T&&v.zoom>=l)f.push({tileID:new t.OverscaledTileID(v.zoom===h?p:v.zoom,v.wrap,v.zoom,g,y),distanceSq:t.sqrLen([o[0]-.5-g,o[1]-.5-y])});else for(var k=0;k<4;k++){var A=(g<<1)+k%2,M=(y<<1)+(k>>1);c.push({aabb:v.aabb.quadrant(k),zoom:v.zoom+1,x:A,y:M,wrap:v.wrap,fullyVisible:m})}}return f.sort((function(t,e){return t.distanceSq-e.distanceSq})).map((function(t){return t.tileID}))},Pn.prototype.resize=function(t,e){this.width=t,this.height=e,this.pixelsToGLUnits=[2/t,-2/e],this._constrain(),this._calcMatrices()},On.unmodified.get=function(){return this._unmodified},Pn.prototype.zoomScale=function(t){return Math.pow(2,t)},Pn.prototype.scaleZoom=function(t){return Math.log(t)/Math.LN2},Pn.prototype.project=function(e){var r=t.clamp(e.lat,-this.maxValidLatitude,this.maxValidLatitude);return new t.Point(t.mercatorXfromLng(e.lng)*this.worldSize,t.mercatorYfromLat(r)*this.worldSize)},Pn.prototype.unproject=function(e){return new t.MercatorCoordinate(e.x/this.worldSize,e.y/this.worldSize).toLngLat()},On.point.get=function(){return this.project(this.center)},Pn.prototype.setLocationAtPoint=function(e,r){var n=this.pointCoordinate(r),i=this.pointCoordinate(this.centerPoint),a=this.locationCoordinate(e),o=new t.MercatorCoordinate(a.x-(n.x-i.x),a.y-(n.y-i.y));this.center=this.coordinateLocation(o),this._renderWorldCopies&&(this.center=this.center.wrap())},Pn.prototype.locationPoint=function(t){return this.coordinatePoint(this.locationCoordinate(t))},Pn.prototype.pointLocation=function(t){return this.coordinateLocation(this.pointCoordinate(t))},Pn.prototype.locationCoordinate=function(e){return t.MercatorCoordinate.fromLngLat(e)},Pn.prototype.coordinateLocation=function(t){return t.toLngLat()},Pn.prototype.pointCoordinate=function(e){var r=[e.x,e.y,0,1],n=[e.x,e.y,1,1];t.transformMat4(r,r,this.pixelMatrixInverse),t.transformMat4(n,n,this.pixelMatrixInverse);var i=r[3],a=n[3],o=r[0]/i,s=n[0]/a,l=r[1]/i,u=n[1]/a,c=r[2]/i,f=n[2]/a,h=c===f?0:(0-c)/(f-c);return new t.MercatorCoordinate(t.number(o,s,h)/this.worldSize,t.number(l,u,h)/this.worldSize)},Pn.prototype.coordinatePoint=function(e){var r=[e.x*this.worldSize,e.y*this.worldSize,0,1];return t.transformMat4(r,r,this.pixelMatrix),new t.Point(r[0]/r[3],r[1]/r[3])},Pn.prototype.getBounds=function(){return(new t.LngLatBounds).extend(this.pointLocation(new t.Point(0,0))).extend(this.pointLocation(new t.Point(this.width,0))).extend(this.pointLocation(new t.Point(this.width,this.height))).extend(this.pointLocation(new t.Point(0,this.height)))},Pn.prototype.getMaxBounds=function(){return this.latRange&&2===this.latRange.length&&this.lngRange&&2===this.lngRange.length?new t.LngLatBounds([this.lngRange[0],this.latRange[0]],[this.lngRange[1],this.latRange[1]]):null},Pn.prototype.setMaxBounds=function(t){t?(this.lngRange=[t.getWest(),t.getEast()],this.latRange=[t.getSouth(),t.getNorth()],this._constrain()):(this.lngRange=null,this.latRange=[-this.maxValidLatitude,this.maxValidLatitude])},Pn.prototype.calculatePosMatrix=function(e,r){void 0===r&&(r=!1);var n=e.key,i=r?this._alignedPosMatrixCache:this._posMatrixCache;if(i[n])return i[n];var a=e.canonical,o=this.worldSize/this.zoomScale(a.z),s=a.x+Math.pow(2,a.z)*e.wrap,l=t.identity(new Float64Array(16));return t.translate(l,l,[s*o,a.y*o,0]),t.scale(l,l,[o/t.EXTENT,o/t.EXTENT,1]),t.multiply(l,r?this.alignedProjMatrix:this.projMatrix,l),i[n]=new Float32Array(l),i[n]},Pn.prototype.customLayerMatrix=function(){return this.mercatorMatrix.slice()},Pn.prototype._constrain=function(){if(this.center&&this.width&&this.height&&!this._constraining){this._constraining=!0;var e,r,n,i,a=-90,o=90,s=-180,l=180,u=this.size,c=this._unmodified;if(this.latRange){var f=this.latRange;a=t.mercatorYfromLat(f[1])*this.worldSize,e=(o=t.mercatorYfromLat(f[0])*this.worldSize)-ao&&(i=o-g)}if(this.lngRange){var y=p.x,m=u.x/2;y-ml&&(n=l-m)}void 0===n&&void 0===i||(this.center=this.unproject(new t.Point(void 0!==n?n:p.x,void 0!==i?i:p.y))),this._unmodified=c,this._constraining=!1}},Pn.prototype._calcMatrices=function(){if(this.height){var e=this._fov/2,r=this.centerOffset;this.cameraToCenterDistance=.5/Math.tan(e)*this.height;var n=Math.PI/2+this._pitch,i=this._fov*(.5+r.y/this.height),a=Math.sin(i)*this.cameraToCenterDistance/Math.sin(t.clamp(Math.PI-n-i,.01,Math.PI-.01)),o=this.point,s=o.x,l=o.y,u=1.01*(Math.cos(Math.PI/2-this._pitch)*a+this.cameraToCenterDistance),c=this.height/50,f=new Float64Array(16);t.perspective(f,this._fov,this.width/this.height,c,u),f[8]=2*-r.x/this.width,f[9]=2*r.y/this.height,t.scale(f,f,[1,-1,1]),t.translate(f,f,[0,0,-this.cameraToCenterDistance]),t.rotateX(f,f,this._pitch),t.rotateZ(f,f,this.angle),t.translate(f,f,[-s,-l,0]),this.mercatorMatrix=t.scale([],f,[this.worldSize,this.worldSize,this.worldSize]),t.scale(f,f,[1,1,t.mercatorZfromAltitude(1,this.center.lat)*this.worldSize,1]),this.projMatrix=f,this.invProjMatrix=t.invert([],this.projMatrix);var h=this.width%2/2,p=this.height%2/2,d=Math.cos(this.angle),v=Math.sin(this.angle),g=s-Math.round(s)+d*h+v*p,y=l-Math.round(l)+d*p+v*h,m=new Float64Array(f);if(t.translate(m,m,[g>.5?g-1:g,y>.5?y-1:y,0]),this.alignedProjMatrix=m,f=t.create(),t.scale(f,f,[this.width/2,-this.height/2,1]),t.translate(f,f,[1,-1,0]),this.labelPlaneMatrix=f,f=t.create(),t.scale(f,f,[1,-1,1]),t.translate(f,f,[-1,-1,0]),t.scale(f,f,[2/this.width,2/this.height,1]),this.glCoordMatrix=f,this.pixelMatrix=t.multiply(new Float64Array(16),this.labelPlaneMatrix,this.projMatrix),!(f=t.invert(new Float64Array(16),this.pixelMatrix)))throw new Error("failed to invert matrix");this.pixelMatrixInverse=f,this._posMatrixCache={},this._alignedPosMatrixCache={}}},Pn.prototype.maxPitchScaleFactor=function(){if(!this.pixelMatrixInverse)return 1;var e=this.pointCoordinate(new t.Point(0,0)),r=[e.x*this.worldSize,e.y*this.worldSize,0,1];return t.transformMat4(r,r,this.pixelMatrix)[3]/this.cameraToCenterDistance},Pn.prototype.getCameraPoint=function(){var e=this._pitch,r=Math.tan(e)*(this.cameraToCenterDistance||1);return this.centerPoint.add(new t.Point(0,r))},Pn.prototype.getCameraQueryGeometry=function(e){var r=this.getCameraPoint();if(1===e.length)return[e[0],r];for(var n=r.x,i=r.y,a=r.x,o=r.y,s=0,l=e;s=3&&!t.some((function(t){return isNaN(t)}))){var e=this._map.dragRotate.isEnabled()&&this._map.touchZoomRotate.isEnabled()?+(t[3]||0):this._map.getBearing();return this._map.jumpTo({center:[+t[2],+t[1]],zoom:+t[0],bearing:e,pitch:+(t[4]||0)}),!0}return!1},In.prototype._updateHashUnthrottled=function(){var e=t.window.location.href.replace(/(#.+)?$/,this.getHashString());try{t.window.history.replaceState(t.window.history.state,null,e)}catch(t){}};var Dn={linearity:.3,easing:t.bezier(0,0,.3,1)},zn=t.extend({deceleration:2500,maxSpeed:1400},Dn),Rn=t.extend({deceleration:20,maxSpeed:1400},Dn),Fn=t.extend({deceleration:1e3,maxSpeed:360},Dn),Bn=t.extend({deceleration:1e3,maxSpeed:90},Dn),Nn=function(t){this._map=t,this.clear()};function jn(t,e){(!t.duration||t.duration0&&r-e[0].time>160;)e.shift()},Nn.prototype._onMoveEnd=function(e){if(this._drainInertiaBuffer(),!(this._inertiaBuffer.length<2)){for(var r={zoom:0,bearing:0,pitch:0,pan:new t.Point(0,0),pinchAround:void 0,around:void 0},n=0,i=this._inertiaBuffer;n=this._clickTolerance||this._map.fire(new Vn(t.type,this._map,t))},Gn.prototype.dblclick=function(t){return this._firePreventable(new Vn(t.type,this._map,t))},Gn.prototype.mouseover=function(t){this._map.fire(new Vn(t.type,this._map,t))},Gn.prototype.mouseout=function(t){this._map.fire(new Vn(t.type,this._map,t))},Gn.prototype.touchstart=function(t){return this._firePreventable(new qn(t.type,this._map,t))},Gn.prototype.touchmove=function(t){this._map.fire(new qn(t.type,this._map,t))},Gn.prototype.touchend=function(t){this._map.fire(new qn(t.type,this._map,t))},Gn.prototype.touchcancel=function(t){this._map.fire(new qn(t.type,this._map,t))},Gn.prototype._firePreventable=function(t){if(this._map.fire(t),t.defaultPrevented)return{}},Gn.prototype.isEnabled=function(){return!0},Gn.prototype.isActive=function(){return!1},Gn.prototype.enable=function(){},Gn.prototype.disable=function(){};var Wn=function(t){this._map=t};Wn.prototype.reset=function(){this._delayContextMenu=!1,delete this._contextMenuEvent},Wn.prototype.mousemove=function(t){this._map.fire(new Vn(t.type,this._map,t))},Wn.prototype.mousedown=function(){this._delayContextMenu=!0},Wn.prototype.mouseup=function(){this._delayContextMenu=!1,this._contextMenuEvent&&(this._map.fire(new Vn("contextmenu",this._map,this._contextMenuEvent)),delete this._contextMenuEvent)},Wn.prototype.contextmenu=function(t){this._delayContextMenu?this._contextMenuEvent=t:this._map.fire(new Vn(t.type,this._map,t)),this._map.listens("contextmenu")&&t.preventDefault()},Wn.prototype.isEnabled=function(){return!0},Wn.prototype.isActive=function(){return!1},Wn.prototype.enable=function(){},Wn.prototype.disable=function(){};var Yn=function(t,e){this._map=t,this._el=t.getCanvasContainer(),this._container=t.getContainer(),this._clickTolerance=e.clickTolerance||1};function Xn(t,e){for(var r={},n=0;nthis.numTouches)&&(this.aborted=!0),this.aborted||(void 0===this.startTime&&(this.startTime=e.timeStamp),n.length===this.numTouches&&(this.centroid=function(e){for(var r=new t.Point(0,0),n=0,i=e;n30)&&(this.aborted=!0)}}},Zn.prototype.touchend=function(t,e,r){if((!this.centroid||t.timeStamp-this.startTime>500)&&(this.aborted=!0),0===r.length){var n=!this.aborted&&this.centroid;if(this.reset(),n)return n}};var Kn=function(t){this.singleTap=new Zn(t),this.numTaps=t.numTaps,this.reset()};Kn.prototype.reset=function(){this.lastTime=1/0,delete this.lastTap,this.count=0,this.singleTap.reset()},Kn.prototype.touchstart=function(t,e,r){this.singleTap.touchstart(t,e,r)},Kn.prototype.touchmove=function(t,e,r){this.singleTap.touchmove(t,e,r)},Kn.prototype.touchend=function(t,e,r){var n=this.singleTap.touchend(t,e,r);if(n){var i=t.timeStamp-this.lastTime<500,a=!this.lastTap||this.lastTap.dist(n)<30;if(i&&a||this.reset(),this.count++,this.lastTime=t.timeStamp,this.lastTap=n,this.count===this.numTaps)return this.reset(),n}};var Jn=function(){this._zoomIn=new Kn({numTouches:1,numTaps:2}),this._zoomOut=new Kn({numTouches:2,numTaps:1}),this.reset()};Jn.prototype.reset=function(){this._active=!1,this._zoomIn.reset(),this._zoomOut.reset()},Jn.prototype.touchstart=function(t,e,r){this._zoomIn.touchstart(t,e,r),this._zoomOut.touchstart(t,e,r)},Jn.prototype.touchmove=function(t,e,r){this._zoomIn.touchmove(t,e,r),this._zoomOut.touchmove(t,e,r)},Jn.prototype.touchend=function(t,e,r){var n=this,i=this._zoomIn.touchend(t,e,r),a=this._zoomOut.touchend(t,e,r);return i?(this._active=!0,t.preventDefault(),setTimeout((function(){return n.reset()}),0),{cameraAnimation:function(e){return e.easeTo({duration:300,zoom:e.getZoom()+1,around:e.unproject(i)},{originalEvent:t})}}):a?(this._active=!0,t.preventDefault(),setTimeout((function(){return n.reset()}),0),{cameraAnimation:function(e){return e.easeTo({duration:300,zoom:e.getZoom()-1,around:e.unproject(a)},{originalEvent:t})}}):void 0},Jn.prototype.touchcancel=function(){this.reset()},Jn.prototype.enable=function(){this._enabled=!0},Jn.prototype.disable=function(){this._enabled=!1,this.reset()},Jn.prototype.isEnabled=function(){return this._enabled},Jn.prototype.isActive=function(){return this._active};var $n={};$n[0]=1,$n[2]=2;var Qn=function(t){this.reset(),this._clickTolerance=t.clickTolerance||1};Qn.prototype.reset=function(){this._active=!1,this._moved=!1,delete this._lastPoint,delete this._eventButton},Qn.prototype._correctButton=function(t,e){return!1},Qn.prototype._move=function(t,e){return{}},Qn.prototype.mousedown=function(t,e){if(!this._lastPoint){var n=r.mouseButton(t);this._correctButton(t,n)&&(this._lastPoint=e,this._eventButton=n)}},Qn.prototype.mousemoveWindow=function(t,e){var r=this._lastPoint;if(r)if(t.preventDefault(),function(t,e){var r=$n[e];return void 0===t.buttons||(t.buttons&r)!==r}(t,this._eventButton))this.reset();else if(this._moved||!(e.dist(r)0&&(this._active=!0);var i=Xn(n,r),a=new t.Point(0,0),o=new t.Point(0,0),s=0;for(var l in i){var u=i[l],c=this._touches[l];c&&(a._add(u),o._add(u.sub(c)),s++,i[l]=u)}if(this._touches=i,!(sMath.abs(t.x)}var fi=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.reset=function(){t.prototype.reset.call(this),this._valid=void 0,delete this._firstMove,delete this._lastPoints},e.prototype._start=function(t){this._lastPoints=t,ci(t[0].sub(t[1]))&&(this._valid=!1)},e.prototype._move=function(t,e,r){var n=t[0].sub(this._lastPoints[0]),i=t[1].sub(this._lastPoints[1]);if(this._valid=this.gestureBeginsVertically(n,i,r.timeStamp),this._valid)return this._lastPoints=t,this._active=!0,{pitchDelta:(n.y+i.y)/2*-.5}},e.prototype.gestureBeginsVertically=function(t,e,r){if(void 0!==this._valid)return this._valid;var n=t.mag()>=2,i=e.mag()>=2;if(n||i){if(!n||!i)return void 0===this._firstMove&&(this._firstMove=r),r-this._firstMove<100&&void 0;var a=t.y>0==e.y>0;return ci(t)&&ci(e)&&a}},e}(ii),hi={panStep:100,bearingStep:15,pitchStep:10},pi=function(){var t=hi;this._panStep=t.panStep,this._bearingStep=t.bearingStep,this._pitchStep=t.pitchStep,this._rotationDisabled=!1};function di(t){return t*(2-t)}pi.prototype.reset=function(){this._active=!1},pi.prototype.keydown=function(t){var e=this;if(!(t.altKey||t.ctrlKey||t.metaKey)){var r=0,n=0,i=0,a=0,o=0;switch(t.keyCode){case 61:case 107:case 171:case 187:r=1;break;case 189:case 109:case 173:r=-1;break;case 37:t.shiftKey?n=-1:(t.preventDefault(),a=-1);break;case 39:t.shiftKey?n=1:(t.preventDefault(),a=1);break;case 38:t.shiftKey?i=1:(t.preventDefault(),o=-1);break;case 40:t.shiftKey?i=-1:(t.preventDefault(),o=1);break;default:return}return this._rotationDisabled&&(n=0,i=0),{cameraAnimation:function(s){var l=s.getZoom();s.easeTo({duration:300,easeId:"keyboardHandler",easing:di,zoom:r?Math.round(l)+r*(t.shiftKey?2:1):l,bearing:s.getBearing()+n*e._bearingStep,pitch:s.getPitch()+i*e._pitchStep,offset:[-a*e._panStep,-o*e._panStep],center:s.getCenter()},{originalEvent:t})}}}},pi.prototype.enable=function(){this._enabled=!0},pi.prototype.disable=function(){this._enabled=!1,this.reset()},pi.prototype.isEnabled=function(){return this._enabled},pi.prototype.isActive=function(){return this._active},pi.prototype.disableRotation=function(){this._rotationDisabled=!0},pi.prototype.enableRotation=function(){this._rotationDisabled=!1};var vi=4.000244140625,gi=function(e,r){this._map=e,this._el=e.getCanvasContainer(),this._handler=r,this._delta=0,this._defaultZoomRate=.01,this._wheelZoomRate=.0022222222222222222,t.bindAll(["_onTimeout"],this)};gi.prototype.setZoomRate=function(t){this._defaultZoomRate=t},gi.prototype.setWheelZoomRate=function(t){this._wheelZoomRate=t},gi.prototype.isEnabled=function(){return!!this._enabled},gi.prototype.isActive=function(){return!!this._active||void 0!==this._finishTimeout},gi.prototype.isZooming=function(){return!!this._zooming},gi.prototype.enable=function(t){this.isEnabled()||(this._enabled=!0,this._aroundCenter=t&&"center"===t.around)},gi.prototype.disable=function(){this.isEnabled()&&(this._enabled=!1)},gi.prototype.wheel=function(e){if(this.isEnabled()){var r=e.deltaMode===t.window.WheelEvent.DOM_DELTA_LINE?40*e.deltaY:e.deltaY,n=t.browser.now(),i=n-(this._lastWheelEventTime||0);this._lastWheelEventTime=n,0!==r&&r%vi==0?this._type="wheel":0!==r&&Math.abs(r)<4?this._type="trackpad":i>400?(this._type=null,this._lastValue=r,this._timeout=setTimeout(this._onTimeout,40,e)):this._type||(this._type=Math.abs(i*r)<200?"trackpad":"wheel",this._timeout&&(clearTimeout(this._timeout),this._timeout=null,r+=this._lastValue)),e.shiftKey&&r&&(r/=4),this._type&&(this._lastWheelEvent=e,this._delta-=r,this._active||this._start(e)),e.preventDefault()}},gi.prototype._onTimeout=function(t){this._type="wheel",this._delta-=this._lastValue,this._active||this._start(t)},gi.prototype._start=function(e){if(this._delta){this._frameId&&(this._frameId=null),this._active=!0,this.isZooming()||(this._zooming=!0),this._finishTimeout&&(clearTimeout(this._finishTimeout),delete this._finishTimeout);var n=r.mousePos(this._el,e);this._around=t.LngLat.convert(this._aroundCenter?this._map.getCenter():this._map.unproject(n)),this._aroundPoint=this._map.transform.locationPoint(this._around),this._frameId||(this._frameId=!0,this._handler._triggerRenderFrame())}},gi.prototype.renderFrame=function(){var e=this;if(this._frameId&&(this._frameId=null,this.isActive())){var r=this._map.transform;if(0!==this._delta){var n="wheel"===this._type&&Math.abs(this._delta)>vi?this._wheelZoomRate:this._defaultZoomRate,i=2/(1+Math.exp(-Math.abs(this._delta*n)));this._delta<0&&0!==i&&(i=1/i);var a="number"==typeof this._targetZoom?r.zoomScale(this._targetZoom):r.scale;this._targetZoom=Math.min(r.maxZoom,Math.max(r.minZoom,r.scaleZoom(a*i))),"wheel"===this._type&&(this._startZoom=r.zoom,this._easing=this._smoothOutEasing(200)),this._delta=0}var o,s="number"==typeof this._targetZoom?this._targetZoom:r.zoom,l=this._startZoom,u=this._easing,c=!1;if("wheel"===this._type&&l&&u){var f=Math.min((t.browser.now()-this._lastWheelEventTime)/200,1),h=u(f);o=t.number(l,s,h),f<1?this._frameId||(this._frameId=!0):c=!0}else o=s,c=!0;return this._active=!0,c&&(this._active=!1,this._finishTimeout=setTimeout((function(){e._zooming=!1,e._handler._triggerRenderFrame(),delete e._targetZoom,delete e._finishTimeout}),200)),{noInertia:!0,needsRenderFrame:!c,zoomDelta:o-r.zoom,around:this._aroundPoint,originalEvent:this._lastWheelEvent}}},gi.prototype._smoothOutEasing=function(e){var r=t.ease;if(this._prevEase){var n=this._prevEase,i=(t.browser.now()-n.start)/n.duration,a=n.easing(i+.01)-n.easing(i),o=.27/Math.sqrt(a*a+1e-4)*.01,s=Math.sqrt(.0729-o*o);r=t.bezier(o,s,.25,1)}return this._prevEase={start:t.browser.now(),duration:e,easing:r},r},gi.prototype.reset=function(){this._active=!1};var yi=function(t,e){this._clickZoom=t,this._tapZoom=e};yi.prototype.enable=function(){this._clickZoom.enable(),this._tapZoom.enable()},yi.prototype.disable=function(){this._clickZoom.disable(),this._tapZoom.disable()},yi.prototype.isEnabled=function(){return this._clickZoom.isEnabled()&&this._tapZoom.isEnabled()},yi.prototype.isActive=function(){return this._clickZoom.isActive()||this._tapZoom.isActive()};var mi=function(){this.reset()};mi.prototype.reset=function(){this._active=!1},mi.prototype.dblclick=function(t,e){return t.preventDefault(),{cameraAnimation:function(r){r.easeTo({duration:300,zoom:r.getZoom()+(t.shiftKey?-1:1),around:r.unproject(e)},{originalEvent:t})}}},mi.prototype.enable=function(){this._enabled=!0},mi.prototype.disable=function(){this._enabled=!1,this.reset()},mi.prototype.isEnabled=function(){return this._enabled},mi.prototype.isActive=function(){return this._active};var xi=function(){this._tap=new Kn({numTouches:1,numTaps:1}),this.reset()};xi.prototype.reset=function(){this._active=!1,delete this._swipePoint,delete this._swipeTouch,delete this._tapTime,this._tap.reset()},xi.prototype.touchstart=function(t,e,r){this._swipePoint||(this._tapTime&&t.timeStamp-this._tapTime>500&&this.reset(),this._tapTime?r.length>0&&(this._swipePoint=e[0],this._swipeTouch=r[0].identifier):this._tap.touchstart(t,e,r))},xi.prototype.touchmove=function(t,e,r){if(this._tapTime){if(this._swipePoint){if(r[0].identifier!==this._swipeTouch)return;var n=e[0],i=n.y-this._swipePoint.y;return this._swipePoint=n,t.preventDefault(),this._active=!0,{zoomDelta:i/128}}}else this._tap.touchmove(t,e,r)},xi.prototype.touchend=function(t,e,r){this._tapTime?this._swipePoint&&0===r.length&&this.reset():this._tap.touchend(t,e,r)&&(this._tapTime=t.timeStamp)},xi.prototype.touchcancel=function(){this.reset()},xi.prototype.enable=function(){this._enabled=!0},xi.prototype.disable=function(){this._enabled=!1,this.reset()},xi.prototype.isEnabled=function(){return this._enabled},xi.prototype.isActive=function(){return this._active};var bi=function(t,e,r){this._el=t,this._mousePan=e,this._touchPan=r};bi.prototype.enable=function(t){this._inertiaOptions=t||{},this._mousePan.enable(),this._touchPan.enable(),this._el.classList.add("mapboxgl-touch-drag-pan")},bi.prototype.disable=function(){this._mousePan.disable(),this._touchPan.disable(),this._el.classList.remove("mapboxgl-touch-drag-pan")},bi.prototype.isEnabled=function(){return this._mousePan.isEnabled()&&this._touchPan.isEnabled()},bi.prototype.isActive=function(){return this._mousePan.isActive()||this._touchPan.isActive()};var _i=function(t,e,r){this._pitchWithRotate=t.pitchWithRotate,this._mouseRotate=e,this._mousePitch=r};_i.prototype.enable=function(){this._mouseRotate.enable(),this._pitchWithRotate&&this._mousePitch.enable()},_i.prototype.disable=function(){this._mouseRotate.disable(),this._mousePitch.disable()},_i.prototype.isEnabled=function(){return this._mouseRotate.isEnabled()&&(!this._pitchWithRotate||this._mousePitch.isEnabled())},_i.prototype.isActive=function(){return this._mouseRotate.isActive()||this._mousePitch.isActive()};var wi=function(t,e,r,n){this._el=t,this._touchZoom=e,this._touchRotate=r,this._tapDragZoom=n,this._rotationDisabled=!1,this._enabled=!0};wi.prototype.enable=function(t){this._touchZoom.enable(t),this._rotationDisabled||this._touchRotate.enable(t),this._tapDragZoom.enable(),this._el.classList.add("mapboxgl-touch-zoom-rotate")},wi.prototype.disable=function(){this._touchZoom.disable(),this._touchRotate.disable(),this._tapDragZoom.disable(),this._el.classList.remove("mapboxgl-touch-zoom-rotate")},wi.prototype.isEnabled=function(){return this._touchZoom.isEnabled()&&(this._rotationDisabled||this._touchRotate.isEnabled())&&this._tapDragZoom.isEnabled()},wi.prototype.isActive=function(){return this._touchZoom.isActive()||this._touchRotate.isActive()||this._tapDragZoom.isActive()},wi.prototype.disableRotation=function(){this._rotationDisabled=!0,this._touchRotate.disable()},wi.prototype.enableRotation=function(){this._rotationDisabled=!1,this._touchZoom.isEnabled()&&this._touchRotate.enable()};var Ti=function(t){return t.zoom||t.drag||t.pitch||t.rotate},ki=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e}(t.Event);function Ai(t){return t.panDelta&&t.panDelta.mag()||t.zoomDelta||t.bearingDelta||t.pitchDelta}var Mi=function(e,n){this._map=e,this._el=this._map.getCanvasContainer(),this._handlers=[],this._handlersById={},this._changes=[],this._inertia=new Nn(e),this._bearingSnap=n.bearingSnap,this._previousActiveHandlers={},this._eventsInProgress={},this._addDefaultHandlers(n),t.bindAll(["handleEvent","handleWindowEvent"],this);var i=this._el;this._listeners=[[i,"touchstart",{passive:!0}],[i,"touchmove",{passive:!1}],[i,"touchend",void 0],[i,"touchcancel",void 0],[i,"mousedown",void 0],[i,"mousemove",void 0],[i,"mouseup",void 0],[t.window.document,"mousemove",{capture:!0}],[t.window.document,"mouseup",void 0],[i,"mouseover",void 0],[i,"mouseout",void 0],[i,"dblclick",void 0],[i,"click",void 0],[i,"keydown",{capture:!1}],[i,"keyup",void 0],[i,"wheel",{passive:!1}],[i,"contextmenu",void 0],[t.window,"blur",void 0]];for(var a=0,o=this._listeners;aa?Math.min(2,_):Math.max(.5,_),w=Math.pow(g,1-e),T=i.unproject(x.add(b.mult(e*w)).mult(v));i.setLocationAtPoint(i.renderWorldCopies?T.wrap():T,d)}n._fireMoveEvents(r)}),(function(t){n._afterEase(r,t)}),e),this},r.prototype._prepareEase=function(e,r,n){void 0===n&&(n={}),this._moving=!0,r||n.moving||this.fire(new t.Event("movestart",e)),this._zooming&&!n.zooming&&this.fire(new t.Event("zoomstart",e)),this._rotating&&!n.rotating&&this.fire(new t.Event("rotatestart",e)),this._pitching&&!n.pitching&&this.fire(new t.Event("pitchstart",e))},r.prototype._fireMoveEvents=function(e){this.fire(new t.Event("move",e)),this._zooming&&this.fire(new t.Event("zoom",e)),this._rotating&&this.fire(new t.Event("rotate",e)),this._pitching&&this.fire(new t.Event("pitch",e))},r.prototype._afterEase=function(e,r){if(!this._easeId||!r||this._easeId!==r){delete this._easeId;var n=this._zooming,i=this._rotating,a=this._pitching;this._moving=!1,this._zooming=!1,this._rotating=!1,this._pitching=!1,this._padding=!1,n&&this.fire(new t.Event("zoomend",e)),i&&this.fire(new t.Event("rotateend",e)),a&&this.fire(new t.Event("pitchend",e)),this.fire(new t.Event("moveend",e))}},r.prototype.flyTo=function(e,r){var n=this;if(!e.essential&&t.browser.prefersReducedMotion){var i=t.pick(e,["center","zoom","bearing","pitch","around"]);return this.jumpTo(i,r)}this.stop(),e=t.extend({offset:[0,0],speed:1.2,curve:1.42,easing:t.ease},e);var a=this.transform,o=this.getZoom(),s=this.getBearing(),l=this.getPitch(),u=this.getPadding(),c="zoom"in e?t.clamp(+e.zoom,a.minZoom,a.maxZoom):o,f="bearing"in e?this._normalizeBearing(e.bearing,s):s,h="pitch"in e?+e.pitch:l,p="padding"in e?e.padding:a.padding,d=a.zoomScale(c-o),v=t.Point.convert(e.offset),g=a.centerPoint.add(v),y=a.pointLocation(g),m=t.LngLat.convert(e.center||y);this._normalizeCenter(m);var x=a.project(y),b=a.project(m).sub(x),_=e.curve,w=Math.max(a.width,a.height),T=w/d,k=b.mag();if("minZoom"in e){var A=t.clamp(Math.min(e.minZoom,o,c),a.minZoom,a.maxZoom),M=w/a.zoomScale(A-o);_=Math.sqrt(M/k*2)}var S=_*_;function E(t){var e=(T*T-w*w+(t?-1:1)*S*S*k*k)/(2*(t?T:w)*S*k);return Math.log(Math.sqrt(e*e+1)-e)}function L(t){return(Math.exp(t)-Math.exp(-t))/2}function C(t){return(Math.exp(t)+Math.exp(-t))/2}var P=E(0),O=function(t){return C(P)/C(P+_*t)},I=function(t){return w*((C(P)*(L(e=P+_*t)/C(e))-L(P))/S)/k;var e},D=(E(1)-P)/_;if(Math.abs(k)<1e-6||!isFinite(D)){if(Math.abs(w-T)<1e-6)return this.easeTo(e,r);var z=Te.maxDuration&&(e.duration=0),this._zooming=!0,this._rotating=s!==f,this._pitching=h!==l,this._padding=!a.isPaddingEqual(p),this._prepareEase(r,!1),this._ease((function(e){var i=e*D,d=1/O(i);a.zoom=1===e?c:o+a.scaleZoom(d),n._rotating&&(a.bearing=t.number(s,f,e)),n._pitching&&(a.pitch=t.number(l,h,e)),n._padding&&(a.interpolatePadding(u,p,e),g=a.centerPoint.add(v));var y=1===e?m:a.unproject(x.add(b.mult(I(i))).mult(d));a.setLocationAtPoint(a.renderWorldCopies?y.wrap():y,g),n._fireMoveEvents(r)}),(function(){return n._afterEase(r)}),e),this},r.prototype.isEasing=function(){return!!this._easeFrameId},r.prototype.stop=function(){return this._stop()},r.prototype._stop=function(t,e){if(this._easeFrameId&&(this._cancelRenderFrame(this._easeFrameId),delete this._easeFrameId,delete this._onEaseFrame),this._onEaseEnd){var r=this._onEaseEnd;delete this._onEaseEnd,r.call(this,e)}if(!t){var n=this.handlers;n&&n.stop(!1)}return this},r.prototype._ease=function(e,r,n){!1===n.animate||0===n.duration?(e(1),r()):(this._easeStart=t.browser.now(),this._easeOptions=n,this._onEaseFrame=e,this._onEaseEnd=r,this._easeFrameId=this._requestRenderFrame(this._renderFrameCallback))},r.prototype._renderFrameCallback=function(){var e=Math.min((t.browser.now()-this._easeStart)/this._easeOptions.duration,1);this._onEaseFrame(this._easeOptions.easing(e)),e<1?this._easeFrameId=this._requestRenderFrame(this._renderFrameCallback):this.stop()},r.prototype._normalizeBearing=function(e,r){e=t.wrap(e,-180,180);var n=Math.abs(e-r);return Math.abs(e-360-r)180?-360:r<-180?360:0}},r}(t.Evented),Ei=function(e){void 0===e&&(e={}),this.options=e,t.bindAll(["_toggleAttribution","_updateEditLink","_updateData","_updateCompact"],this)};Ei.prototype.getDefaultPosition=function(){return"bottom-right"},Ei.prototype.onAdd=function(t){var e=this.options&&this.options.compact;return this._map=t,this._container=r.create("div","mapboxgl-ctrl mapboxgl-ctrl-attrib"),this._compactButton=r.create("button","mapboxgl-ctrl-attrib-button",this._container),this._compactButton.addEventListener("click",this._toggleAttribution),this._setElementTitle(this._compactButton,"ToggleAttribution"),this._innerContainer=r.create("div","mapboxgl-ctrl-attrib-inner",this._container),this._innerContainer.setAttribute("role","list"),e&&this._container.classList.add("mapboxgl-compact"),this._updateAttributions(),this._updateEditLink(),this._map.on("styledata",this._updateData),this._map.on("sourcedata",this._updateData),this._map.on("moveend",this._updateEditLink),void 0===e&&(this._map.on("resize",this._updateCompact),this._updateCompact()),this._container},Ei.prototype.onRemove=function(){r.remove(this._container),this._map.off("styledata",this._updateData),this._map.off("sourcedata",this._updateData),this._map.off("moveend",this._updateEditLink),this._map.off("resize",this._updateCompact),this._map=void 0,this._attribHTML=void 0},Ei.prototype._setElementTitle=function(t,e){var r=this._map._getUIString("AttributionControl."+e);t.title=r,t.setAttribute("aria-label",r)},Ei.prototype._toggleAttribution=function(){this._container.classList.contains("mapboxgl-compact-show")?(this._container.classList.remove("mapboxgl-compact-show"),this._compactButton.setAttribute("aria-pressed","false")):(this._container.classList.add("mapboxgl-compact-show"),this._compactButton.setAttribute("aria-pressed","true"))},Ei.prototype._updateEditLink=function(){var e=this._editLink;e||(e=this._editLink=this._container.querySelector(".mapbox-improve-map"));var r=[{key:"owner",value:this.styleOwner},{key:"id",value:this.styleId},{key:"access_token",value:this._map._requestManager._customAccessToken||t.config.ACCESS_TOKEN}];if(e){var n=r.reduce((function(t,e,n){return e.value&&(t+=e.key+"="+e.value+(n=0)return!1;return!0}))).join(" | ");o!==this._attribHTML&&(this._attribHTML=o,t.length?(this._innerContainer.innerHTML=o,this._container.classList.remove("mapboxgl-attrib-empty")):this._container.classList.add("mapboxgl-attrib-empty"),this._editLink=null)}},Ei.prototype._updateCompact=function(){this._map.getCanvasContainer().offsetWidth<=640?this._container.classList.add("mapboxgl-compact"):this._container.classList.remove("mapboxgl-compact","mapboxgl-compact-show")};var Li=function(){t.bindAll(["_updateLogo"],this),t.bindAll(["_updateCompact"],this)};Li.prototype.onAdd=function(t){this._map=t,this._container=r.create("div","mapboxgl-ctrl");var e=r.create("a","mapboxgl-ctrl-logo");return e.target="_blank",e.rel="noopener nofollow",e.href="https://www.mapbox.com/",e.setAttribute("aria-label",this._map._getUIString("LogoControl.Title")),e.setAttribute("rel","noopener nofollow"),this._container.appendChild(e),this._container.style.display="none",this._map.on("sourcedata",this._updateLogo),this._updateLogo(),this._map.on("resize",this._updateCompact),this._updateCompact(),this._container},Li.prototype.onRemove=function(){r.remove(this._container),this._map.off("sourcedata",this._updateLogo),this._map.off("resize",this._updateCompact)},Li.prototype.getDefaultPosition=function(){return"bottom-left"},Li.prototype._updateLogo=function(t){t&&"metadata"!==t.sourceDataType||(this._container.style.display=this._logoRequired()?"block":"none")},Li.prototype._logoRequired=function(){if(this._map.style){var t=this._map.style.sourceCaches;for(var e in t)if(t[e].getSource().mapbox_logo)return!0;return!1}},Li.prototype._updateCompact=function(){var t=this._container.children;if(t.length){var e=t[0];this._map.getCanvasContainer().offsetWidth<250?e.classList.add("mapboxgl-compact"):e.classList.remove("mapboxgl-compact")}};var Ci=function(){this._queue=[],this._id=0,this._cleared=!1,this._currentlyRunning=!1};Ci.prototype.add=function(t){var e=++this._id;return this._queue.push({callback:t,id:e,cancelled:!1}),e},Ci.prototype.remove=function(t){for(var e=this._currentlyRunning,r=0,n=e?this._queue.concat(e):this._queue;re.maxZoom)throw new Error("maxZoom must be greater than or equal to minZoom");if(null!=e.minPitch&&null!=e.maxPitch&&e.minPitch>e.maxPitch)throw new Error("maxPitch must be greater than or equal to minPitch");if(null!=e.minPitch&&e.minPitch<0)throw new Error("minPitch must be greater than or equal to 0");if(null!=e.maxPitch&&e.maxPitch>zi)throw new Error("maxPitch must be less than or equal to 60");var i=new Pn(e.minZoom,e.maxZoom,e.minPitch,e.maxPitch,e.renderWorldCopies);if(n.call(this,i,e),this._interactive=e.interactive,this._maxTileCacheSize=e.maxTileCacheSize,this._failIfMajorPerformanceCaveat=e.failIfMajorPerformanceCaveat,this._preserveDrawingBuffer=e.preserveDrawingBuffer,this._antialias=e.antialias,this._trackResize=e.trackResize,this._bearingSnap=e.bearingSnap,this._refreshExpiredTiles=e.refreshExpiredTiles,this._fadeDuration=e.fadeDuration,this._crossSourceCollisions=e.crossSourceCollisions,this._crossFadingFactor=1,this._collectResourceTiming=e.collectResourceTiming,this._renderTaskQueue=new Ci,this._controls=[],this._mapId=t.uniqueId(),this._locale=t.extend({},Pi,e.locale),this._clickTolerance=e.clickTolerance,this._requestManager=new t.RequestManager(e.transformRequest,e.accessToken),"string"==typeof e.container){if(this._container=t.window.document.getElementById(e.container),!this._container)throw new Error("Container '"+e.container+"' not found.")}else{if(!(e.container instanceof Ii))throw new Error("Invalid type: 'container' must be a String or HTMLElement.");this._container=e.container}if(e.maxBounds&&this.setMaxBounds(e.maxBounds),t.bindAll(["_onWindowOnline","_onWindowResize","_onMapScroll","_contextLost","_contextRestored"],this),this._setupContainer(),this._setupPainter(),void 0===this.painter)throw new Error("Failed to initialize WebGL.");this.on("move",(function(){return r._update(!1)})),this.on("moveend",(function(){return r._update(!1)})),this.on("zoom",(function(){return r._update(!0)})),void 0!==t.window&&(t.window.addEventListener("online",this._onWindowOnline,!1),t.window.addEventListener("resize",this._onWindowResize,!1),t.window.addEventListener("orientationchange",this._onWindowResize,!1)),this.handlers=new Mi(this,e);var a="string"==typeof e.hash&&e.hash||void 0;this._hash=e.hash&&new In(a).addTo(this),this._hash&&this._hash._onHashChange()||(this.jumpTo({center:e.center,zoom:e.zoom,bearing:e.bearing,pitch:e.pitch}),e.bounds&&(this.resize(),this.fitBounds(e.bounds,t.extend({},e.fitBoundsOptions,{duration:0})))),this.resize(),this._localIdeographFontFamily=e.localIdeographFontFamily,e.style&&this.setStyle(e.style,{localIdeographFontFamily:e.localIdeographFontFamily}),e.attributionControl&&this.addControl(new Ei({customAttribution:e.customAttribution})),this.addControl(new Li,e.logoPosition),this.on("style.load",(function(){r.transform.unmodified&&r.jumpTo(r.style.stylesheet)})),this.on("data",(function(e){r._update("style"===e.dataType),r.fire(new t.Event(e.dataType+"data",e))})),this.on("dataloading",(function(e){r.fire(new t.Event(e.dataType+"dataloading",e))}))}n&&(i.__proto__=n),i.prototype=Object.create(n&&n.prototype),i.prototype.constructor=i;var a={showTileBoundaries:{configurable:!0},showPadding:{configurable:!0},showCollisionBoxes:{configurable:!0},showOverdrawInspector:{configurable:!0},repaint:{configurable:!0},vertices:{configurable:!0},version:{configurable:!0}};return i.prototype._getMapId=function(){return this._mapId},i.prototype.addControl=function(e,r){if(void 0===r&&(r=e.getDefaultPosition?e.getDefaultPosition():"top-right"),!e||!e.onAdd)return this.fire(new t.ErrorEvent(new Error("Invalid argument to map.addControl(). Argument must be a control with onAdd and onRemove methods.")));var n=e.onAdd(this);this._controls.push(e);var i=this._controlPositions[r];return-1!==r.indexOf("bottom")?i.insertBefore(n,i.firstChild):i.appendChild(n),this},i.prototype.removeControl=function(e){if(!e||!e.onRemove)return this.fire(new t.ErrorEvent(new Error("Invalid argument to map.removeControl(). Argument must be a control with onAdd and onRemove methods.")));var r=this._controls.indexOf(e);return r>-1&&this._controls.splice(r,1),e.onRemove(this),this},i.prototype.hasControl=function(t){return this._controls.indexOf(t)>-1},i.prototype.resize=function(e){var r=this._containerDimensions(),n=r[0],i=r[1];this._resizeCanvas(n,i),this.transform.resize(n,i),this.painter.resize(n,i);var a=!this._moving;return a&&(this.stop(),this.fire(new t.Event("movestart",e)).fire(new t.Event("move",e))),this.fire(new t.Event("resize",e)),a&&this.fire(new t.Event("moveend",e)),this},i.prototype.getBounds=function(){return this.transform.getBounds()},i.prototype.getMaxBounds=function(){return this.transform.getMaxBounds()},i.prototype.setMaxBounds=function(e){return this.transform.setMaxBounds(t.LngLatBounds.convert(e)),this._update()},i.prototype.setMinZoom=function(t){if((t=null==t?-2:t)>=-2&&t<=this.transform.maxZoom)return this.transform.minZoom=t,this._update(),this.getZoom()=this.transform.minZoom)return this.transform.maxZoom=t,this._update(),this.getZoom()>t&&this.setZoom(t),this;throw new Error("maxZoom must be greater than the current minZoom")},i.prototype.getMaxZoom=function(){return this.transform.maxZoom},i.prototype.setMinPitch=function(t){if((t=null==t?0:t)<0)throw new Error("minPitch must be greater than or equal to 0");if(t>=0&&t<=this.transform.maxPitch)return this.transform.minPitch=t,this._update(),this.getPitch()zi)throw new Error("maxPitch must be less than or equal to 60");if(t>=this.transform.minPitch)return this.transform.maxPitch=t,this._update(),this.getPitch()>t&&this.setPitch(t),this;throw new Error("maxPitch must be greater than the current minPitch")},i.prototype.getMaxPitch=function(){return this.transform.maxPitch},i.prototype.getRenderWorldCopies=function(){return this.transform.renderWorldCopies},i.prototype.setRenderWorldCopies=function(t){return this.transform.renderWorldCopies=t,this._update()},i.prototype.project=function(e){return this.transform.locationPoint(t.LngLat.convert(e))},i.prototype.unproject=function(e){return this.transform.pointLocation(t.Point.convert(e))},i.prototype.isMoving=function(){return this._moving||this.handlers.isMoving()},i.prototype.isZooming=function(){return this._zooming||this.handlers.isZooming()},i.prototype.isRotating=function(){return this._rotating||this.handlers.isRotating()},i.prototype._createDelegatedListener=function(t,e,r){var n,i=this;if("mouseenter"===t||"mouseover"===t){var a=!1;return{layer:e,listener:r,delegates:{mousemove:function(n){var o=i.getLayer(e)?i.queryRenderedFeatures(n.point,{layers:[e]}):[];o.length?a||(a=!0,r.call(i,new Vn(t,i,n.originalEvent,{features:o}))):a=!1},mouseout:function(){a=!1}}}}if("mouseleave"===t||"mouseout"===t){var o=!1;return{layer:e,listener:r,delegates:{mousemove:function(n){(i.getLayer(e)?i.queryRenderedFeatures(n.point,{layers:[e]}):[]).length?o=!0:o&&(o=!1,r.call(i,new Vn(t,i,n.originalEvent)))},mouseout:function(e){o&&(o=!1,r.call(i,new Vn(t,i,e.originalEvent)))}}}}return{layer:e,listener:r,delegates:(n={},n[t]=function(t){var n=i.getLayer(e)?i.queryRenderedFeatures(t.point,{layers:[e]}):[];n.length&&(t.features=n,r.call(i,t),delete t.features)},n)}},i.prototype.on=function(t,e,r){if(void 0===r)return n.prototype.on.call(this,t,e);var i=this._createDelegatedListener(t,e,r);for(var a in this._delegatedListeners=this._delegatedListeners||{},this._delegatedListeners[t]=this._delegatedListeners[t]||[],this._delegatedListeners[t].push(i),i.delegates)this.on(a,i.delegates[a]);return this},i.prototype.once=function(t,e,r){if(void 0===r)return n.prototype.once.call(this,t,e);var i=this._createDelegatedListener(t,e,r);for(var a in i.delegates)this.once(a,i.delegates[a]);return this},i.prototype.off=function(t,e,r){var i=this;if(void 0===r)return n.prototype.off.call(this,t,e);return this._delegatedListeners&&this._delegatedListeners[t]&&function(n){for(var a=n[t],o=0;o180;){var s=n.locationPoint(e);if(s.x>=0&&s.y>=0&&s.x<=n.width&&s.y<=n.height)break;e.lng>n.center.lng?e.lng-=360:e.lng+=360}return e}Ui.prototype.down=function(t,e){this.mouseRotate.mousedown(t,e),this.mousePitch&&this.mousePitch.mousedown(t,e),r.disableDrag()},Ui.prototype.move=function(t,e){var r=this.map,n=this.mouseRotate.mousemoveWindow(t,e);if(n&&n.bearingDelta&&r.setBearing(r.getBearing()+n.bearingDelta),this.mousePitch){var i=this.mousePitch.mousemoveWindow(t,e);i&&i.pitchDelta&&r.setPitch(r.getPitch()+i.pitchDelta)}},Ui.prototype.off=function(){var t=this.element;r.removeEventListener(t,"mousedown",this.mousedown),r.removeEventListener(t,"touchstart",this.touchstart,{passive:!1}),r.removeEventListener(t,"touchmove",this.touchmove),r.removeEventListener(t,"touchend",this.touchend),r.removeEventListener(t,"touchcancel",this.reset),this.offTemp()},Ui.prototype.offTemp=function(){r.enableDrag(),r.removeEventListener(t.window,"mousemove",this.mousemove),r.removeEventListener(t.window,"mouseup",this.mouseup)},Ui.prototype.mousedown=function(e){this.down(t.extend({},e,{ctrlKey:!0,preventDefault:function(){return e.preventDefault()}}),r.mousePos(this.element,e)),r.addEventListener(t.window,"mousemove",this.mousemove),r.addEventListener(t.window,"mouseup",this.mouseup)},Ui.prototype.mousemove=function(t){this.move(t,r.mousePos(this.element,t))},Ui.prototype.mouseup=function(t){this.mouseRotate.mouseupWindow(t),this.mousePitch&&this.mousePitch.mouseupWindow(t),this.offTemp()},Ui.prototype.touchstart=function(t){1!==t.targetTouches.length?this.reset():(this._startPos=this._lastPos=r.touchPos(this.element,t.targetTouches)[0],this.down({type:"mousedown",button:0,ctrlKey:!0,preventDefault:function(){return t.preventDefault()}},this._startPos))},Ui.prototype.touchmove=function(t){1!==t.targetTouches.length?this.reset():(this._lastPos=r.touchPos(this.element,t.targetTouches)[0],this.move({preventDefault:function(){return t.preventDefault()}},this._lastPos))},Ui.prototype.touchend=function(t){0===t.targetTouches.length&&this._startPos&&this._lastPos&&this._startPos.dist(this._lastPos)=r}this._isDragging&&(this._pos=e.point.sub(this._positionDelta),this._lngLat=this._map.unproject(this._pos),this.setLngLat(this._lngLat),this._element.style.pointerEvents="none","pending"===this._state&&(this._state="active",this.fire(new t.Event("dragstart"))),this.fire(new t.Event("drag")))},n.prototype._onUp=function(){this._element.style.pointerEvents="auto",this._positionDelta=null,this._pointerdownPos=null,this._isDragging=!1,this._map.off("mousemove",this._onMove),this._map.off("touchmove",this._onMove),"active"===this._state&&this.fire(new t.Event("dragend")),this._state="inactive"},n.prototype._addDragHandler=function(t){this._element.contains(t.originalEvent.target)&&(t.preventDefault(),this._positionDelta=t.point.sub(this._pos).add(this._offset),this._pointerdownPos=t.point,this._state="pending",this._map.on("mousemove",this._onMove),this._map.on("touchmove",this._onMove),this._map.once("mouseup",this._onUp),this._map.once("touchend",this._onUp))},n.prototype.setDraggable=function(t){return this._draggable=!!t,this._map&&(t?(this._map.on("mousedown",this._addDragHandler),this._map.on("touchstart",this._addDragHandler)):(this._map.off("mousedown",this._addDragHandler),this._map.off("touchstart",this._addDragHandler))),this},n.prototype.isDraggable=function(){return this._draggable},n.prototype.setRotation=function(t){return this._rotation=t||0,this._update(),this},n.prototype.getRotation=function(){return this._rotation},n.prototype.setRotationAlignment=function(t){return this._rotationAlignment=t||"auto",this._update(),this},n.prototype.getRotationAlignment=function(){return this._rotationAlignment},n.prototype.setPitchAlignment=function(t){return this._pitchAlignment=t&&"auto"!==t?t:this._rotationAlignment,this._update(),this},n.prototype.getPitchAlignment=function(){return this._pitchAlignment},n}(t.Evented),Yi={positionOptions:{enableHighAccuracy:!1,maximumAge:0,timeout:6e3},fitBoundsOptions:{maxZoom:15},trackUserLocation:!1,showAccuracyCircle:!0,showUserLocation:!0};var Xi=0,Zi=!1,Ki=function(e){function n(r){e.call(this),this.options=t.extend({},Yi,r),t.bindAll(["_onSuccess","_onError","_onZoom","_finish","_setupUI","_updateCamera","_updateMarker"],this)}return e&&(n.__proto__=e),n.prototype=Object.create(e&&e.prototype),n.prototype.constructor=n,n.prototype.onAdd=function(e){return this._map=e,this._container=r.create("div","mapboxgl-ctrl mapboxgl-ctrl-group"),n=this._setupUI,void 0!==Gi?n(Gi):void 0!==t.window.navigator.permissions?t.window.navigator.permissions.query({name:"geolocation"}).then((function(t){Gi="denied"!==t.state,n(Gi)})):(Gi=!!t.window.navigator.geolocation,n(Gi)),this._container;var n},n.prototype.onRemove=function(){void 0!==this._geolocationWatchID&&(t.window.navigator.geolocation.clearWatch(this._geolocationWatchID),this._geolocationWatchID=void 0),this.options.showUserLocation&&this._userLocationDotMarker&&this._userLocationDotMarker.remove(),this.options.showAccuracyCircle&&this._accuracyCircleMarker&&this._accuracyCircleMarker.remove(),r.remove(this._container),this._map.off("zoom",this._onZoom),this._map=void 0,Xi=0,Zi=!1},n.prototype._isOutOfMapMaxBounds=function(t){var e=this._map.getMaxBounds(),r=t.coords;return e&&(r.longitudee.getEast()||r.latitudee.getNorth())},n.prototype._setErrorState=function(){switch(this._watchState){case"WAITING_ACTIVE":this._watchState="ACTIVE_ERROR",this._geolocateButton.classList.remove("mapboxgl-ctrl-geolocate-active"),this._geolocateButton.classList.add("mapboxgl-ctrl-geolocate-active-error");break;case"ACTIVE_LOCK":this._watchState="ACTIVE_ERROR",this._geolocateButton.classList.remove("mapboxgl-ctrl-geolocate-active"),this._geolocateButton.classList.add("mapboxgl-ctrl-geolocate-active-error"),this._geolocateButton.classList.add("mapboxgl-ctrl-geolocate-waiting");break;case"BACKGROUND":this._watchState="BACKGROUND_ERROR",this._geolocateButton.classList.remove("mapboxgl-ctrl-geolocate-background"),this._geolocateButton.classList.add("mapboxgl-ctrl-geolocate-background-error"),this._geolocateButton.classList.add("mapboxgl-ctrl-geolocate-waiting")}},n.prototype._onSuccess=function(e){if(this._map){if(this._isOutOfMapMaxBounds(e))return this._setErrorState(),this.fire(new t.Event("outofmaxbounds",e)),this._updateMarker(),void this._finish();if(this.options.trackUserLocation)switch(this._lastKnownPosition=e,this._watchState){case"WAITING_ACTIVE":case"ACTIVE_LOCK":case"ACTIVE_ERROR":this._watchState="ACTIVE_LOCK",this._geolocateButton.classList.remove("mapboxgl-ctrl-geolocate-waiting"),this._geolocateButton.classList.remove("mapboxgl-ctrl-geolocate-active-error"),this._geolocateButton.classList.add("mapboxgl-ctrl-geolocate-active");break;case"BACKGROUND":case"BACKGROUND_ERROR":this._watchState="BACKGROUND",this._geolocateButton.classList.remove("mapboxgl-ctrl-geolocate-waiting"),this._geolocateButton.classList.remove("mapboxgl-ctrl-geolocate-background-error"),this._geolocateButton.classList.add("mapboxgl-ctrl-geolocate-background")}this.options.showUserLocation&&"OFF"!==this._watchState&&this._updateMarker(e),this.options.trackUserLocation&&"ACTIVE_LOCK"!==this._watchState||this._updateCamera(e),this.options.showUserLocation&&this._dotElement.classList.remove("mapboxgl-user-location-dot-stale"),this.fire(new t.Event("geolocate",e)),this._finish()}},n.prototype._updateCamera=function(e){var r=new t.LngLat(e.coords.longitude,e.coords.latitude),n=e.coords.accuracy,i=this._map.getBearing(),a=t.extend({bearing:i},this.options.fitBoundsOptions);this._map.fitBounds(r.toBounds(n),a,{geolocateSource:!0})},n.prototype._updateMarker=function(e){if(e){var r=new t.LngLat(e.coords.longitude,e.coords.latitude);this._accuracyCircleMarker.setLngLat(r).addTo(this._map),this._userLocationDotMarker.setLngLat(r).addTo(this._map),this._accuracy=e.coords.accuracy,this.options.showUserLocation&&this.options.showAccuracyCircle&&this._updateCircleRadius()}else this._userLocationDotMarker.remove(),this._accuracyCircleMarker.remove()},n.prototype._updateCircleRadius=function(){var t=this._map._container.clientHeight/2,e=this._map.unproject([0,t]),r=this._map.unproject([1,t]),n=e.distanceTo(r),i=Math.ceil(2*this._accuracy/n);this._circleElement.style.width=i+"px",this._circleElement.style.height=i+"px"},n.prototype._onZoom=function(){this.options.showUserLocation&&this.options.showAccuracyCircle&&this._updateCircleRadius()},n.prototype._onError=function(e){if(this._map){if(this.options.trackUserLocation)if(1===e.code){this._watchState="OFF",this._geolocateButton.classList.remove("mapboxgl-ctrl-geolocate-waiting"),this._geolocateButton.classList.remove("mapboxgl-ctrl-geolocate-active"),this._geolocateButton.classList.remove("mapboxgl-ctrl-geolocate-active-error"),this._geolocateButton.classList.remove("mapboxgl-ctrl-geolocate-background"),this._geolocateButton.classList.remove("mapboxgl-ctrl-geolocate-background-error"),this._geolocateButton.disabled=!0;var r=this._map._getUIString("GeolocateControl.LocationNotAvailable");this._geolocateButton.title=r,this._geolocateButton.setAttribute("aria-label",r),void 0!==this._geolocationWatchID&&this._clearWatch()}else{if(3===e.code&&Zi)return;this._setErrorState()}"OFF"!==this._watchState&&this.options.showUserLocation&&this._dotElement.classList.add("mapboxgl-user-location-dot-stale"),this.fire(new t.Event("error",e)),this._finish()}},n.prototype._finish=function(){this._timeoutId&&clearTimeout(this._timeoutId),this._timeoutId=void 0},n.prototype._setupUI=function(e){var n=this;if(this._container.addEventListener("contextmenu",(function(t){return t.preventDefault()})),this._geolocateButton=r.create("button","mapboxgl-ctrl-geolocate",this._container),r.create("span","mapboxgl-ctrl-icon",this._geolocateButton).setAttribute("aria-hidden",!0),this._geolocateButton.type="button",!1===e){t.warnOnce("Geolocation support is not available so the GeolocateControl will be disabled.");var i=this._map._getUIString("GeolocateControl.LocationNotAvailable");this._geolocateButton.disabled=!0,this._geolocateButton.title=i,this._geolocateButton.setAttribute("aria-label",i)}else{var a=this._map._getUIString("GeolocateControl.FindMyLocation");this._geolocateButton.title=a,this._geolocateButton.setAttribute("aria-label",a)}this.options.trackUserLocation&&(this._geolocateButton.setAttribute("aria-pressed","false"),this._watchState="OFF"),this.options.showUserLocation&&(this._dotElement=r.create("div","mapboxgl-user-location-dot"),this._userLocationDotMarker=new Wi(this._dotElement),this._circleElement=r.create("div","mapboxgl-user-location-accuracy-circle"),this._accuracyCircleMarker=new Wi({element:this._circleElement,pitchAlignment:"map"}),this.options.trackUserLocation&&(this._watchState="OFF"),this._map.on("zoom",this._onZoom)),this._geolocateButton.addEventListener("click",this.trigger.bind(this)),this._setup=!0,this.options.trackUserLocation&&this._map.on("movestart",(function(e){var r=e.originalEvent&&"resize"===e.originalEvent.type;e.geolocateSource||"ACTIVE_LOCK"!==n._watchState||r||(n._watchState="BACKGROUND",n._geolocateButton.classList.add("mapboxgl-ctrl-geolocate-background"),n._geolocateButton.classList.remove("mapboxgl-ctrl-geolocate-active"),n.fire(new t.Event("trackuserlocationend")))}))},n.prototype.trigger=function(){if(!this._setup)return t.warnOnce("Geolocate control triggered before added to a map"),!1;if(this.options.trackUserLocation){switch(this._watchState){case"OFF":this._watchState="WAITING_ACTIVE",this.fire(new t.Event("trackuserlocationstart"));break;case"WAITING_ACTIVE":case"ACTIVE_LOCK":case"ACTIVE_ERROR":case"BACKGROUND_ERROR":Xi--,Zi=!1,this._watchState="OFF",this._geolocateButton.classList.remove("mapboxgl-ctrl-geolocate-waiting"),this._geolocateButton.classList.remove("mapboxgl-ctrl-geolocate-active"),this._geolocateButton.classList.remove("mapboxgl-ctrl-geolocate-active-error"),this._geolocateButton.classList.remove("mapboxgl-ctrl-geolocate-background"),this._geolocateButton.classList.remove("mapboxgl-ctrl-geolocate-background-error"),this.fire(new t.Event("trackuserlocationend"));break;case"BACKGROUND":this._watchState="ACTIVE_LOCK",this._geolocateButton.classList.remove("mapboxgl-ctrl-geolocate-background"),this._lastKnownPosition&&this._updateCamera(this._lastKnownPosition),this.fire(new t.Event("trackuserlocationstart"))}switch(this._watchState){case"WAITING_ACTIVE":this._geolocateButton.classList.add("mapboxgl-ctrl-geolocate-waiting"),this._geolocateButton.classList.add("mapboxgl-ctrl-geolocate-active");break;case"ACTIVE_LOCK":this._geolocateButton.classList.add("mapboxgl-ctrl-geolocate-active");break;case"ACTIVE_ERROR":this._geolocateButton.classList.add("mapboxgl-ctrl-geolocate-waiting"),this._geolocateButton.classList.add("mapboxgl-ctrl-geolocate-active-error");break;case"BACKGROUND":this._geolocateButton.classList.add("mapboxgl-ctrl-geolocate-background");break;case"BACKGROUND_ERROR":this._geolocateButton.classList.add("mapboxgl-ctrl-geolocate-waiting"),this._geolocateButton.classList.add("mapboxgl-ctrl-geolocate-background-error")}if("OFF"===this._watchState&&void 0!==this._geolocationWatchID)this._clearWatch();else if(void 0===this._geolocationWatchID){var e;this._geolocateButton.classList.add("mapboxgl-ctrl-geolocate-waiting"),this._geolocateButton.setAttribute("aria-pressed","true"),++Xi>1?(e={maximumAge:6e5,timeout:0},Zi=!0):(e=this.options.positionOptions,Zi=!1),this._geolocationWatchID=t.window.navigator.geolocation.watchPosition(this._onSuccess,this._onError,e)}}else t.window.navigator.geolocation.getCurrentPosition(this._onSuccess,this._onError,this.options.positionOptions),this._timeoutId=setTimeout(this._finish,1e4);return!0},n.prototype._clearWatch=function(){t.window.navigator.geolocation.clearWatch(this._geolocationWatchID),this._geolocationWatchID=void 0,this._geolocateButton.classList.remove("mapboxgl-ctrl-geolocate-waiting"),this._geolocateButton.setAttribute("aria-pressed","false"),this.options.showUserLocation&&this._updateMarker(null)},n}(t.Evented),Ji={maxWidth:100,unit:"metric"},$i=function(e){this.options=t.extend({},Ji,e),t.bindAll(["_onMove","setUnit"],this)};function Qi(t,e,r){var n=r&&r.maxWidth||100,i=t._container.clientHeight/2,a=t.unproject([0,i]),o=t.unproject([n,i]),s=a.distanceTo(o);if(r&&"imperial"===r.unit){var l=3.2808*s;l>5280?ta(e,n,l/5280,t._getUIString("ScaleControl.Miles")):ta(e,n,l,t._getUIString("ScaleControl.Feet"))}else r&&"nautical"===r.unit?ta(e,n,s/1852,t._getUIString("ScaleControl.NauticalMiles")):s>=1e3?ta(e,n,s/1e3,t._getUIString("ScaleControl.Kilometers")):ta(e,n,s,t._getUIString("ScaleControl.Meters"))}function ta(t,e,r,n){var i,a,o,s=(i=r,(a=Math.pow(10,(""+Math.floor(i)).length-1))*((o=i/a)>=10?10:o>=5?5:o>=3?3:o>=2?2:o>=1?1:function(t){var e=Math.pow(10,Math.ceil(-Math.log(t)/Math.LN10));return Math.round(t*e)/e}(o))),l=s/r;t.style.width=e*l+"px",t.innerHTML=s+" "+n}$i.prototype.getDefaultPosition=function(){return"bottom-left"},$i.prototype._onMove=function(){Qi(this._map,this._container,this.options)},$i.prototype.onAdd=function(t){return this._map=t,this._container=r.create("div","mapboxgl-ctrl mapboxgl-ctrl-scale",t.getContainer()),this._map.on("move",this._onMove),this._onMove(),this._container},$i.prototype.onRemove=function(){r.remove(this._container),this._map.off("move",this._onMove),this._map=void 0},$i.prototype.setUnit=function(t){this.options.unit=t,Qi(this._map,this._container,this.options)};var ea=function(e){this._fullscreen=!1,e&&e.container&&(e.container instanceof t.window.HTMLElement?this._container=e.container:t.warnOnce("Full screen control 'container' must be a DOM element.")),t.bindAll(["_onClickFullscreen","_changeIcon"],this),"onfullscreenchange"in t.window.document?this._fullscreenchange="fullscreenchange":"onmozfullscreenchange"in t.window.document?this._fullscreenchange="mozfullscreenchange":"onwebkitfullscreenchange"in t.window.document?this._fullscreenchange="webkitfullscreenchange":"onmsfullscreenchange"in t.window.document&&(this._fullscreenchange="MSFullscreenChange")};ea.prototype.onAdd=function(e){return this._map=e,this._container||(this._container=this._map.getContainer()),this._controlContainer=r.create("div","mapboxgl-ctrl mapboxgl-ctrl-group"),this._checkFullscreenSupport()?this._setupUI():(this._controlContainer.style.display="none",t.warnOnce("This device does not support fullscreen mode.")),this._controlContainer},ea.prototype.onRemove=function(){r.remove(this._controlContainer),this._map=null,t.window.document.removeEventListener(this._fullscreenchange,this._changeIcon)},ea.prototype._checkFullscreenSupport=function(){return!!(t.window.document.fullscreenEnabled||t.window.document.mozFullScreenEnabled||t.window.document.msFullscreenEnabled||t.window.document.webkitFullscreenEnabled)},ea.prototype._setupUI=function(){var e=this._fullscreenButton=r.create("button","mapboxgl-ctrl-fullscreen",this._controlContainer);r.create("span","mapboxgl-ctrl-icon",e).setAttribute("aria-hidden",!0),e.type="button",this._updateTitle(),this._fullscreenButton.addEventListener("click",this._onClickFullscreen),t.window.document.addEventListener(this._fullscreenchange,this._changeIcon)},ea.prototype._updateTitle=function(){var t=this._getTitle();this._fullscreenButton.setAttribute("aria-label",t),this._fullscreenButton.title=t},ea.prototype._getTitle=function(){return this._map._getUIString(this._isFullscreen()?"FullscreenControl.Exit":"FullscreenControl.Enter")},ea.prototype._isFullscreen=function(){return this._fullscreen},ea.prototype._changeIcon=function(){(t.window.document.fullscreenElement||t.window.document.mozFullScreenElement||t.window.document.webkitFullscreenElement||t.window.document.msFullscreenElement)===this._container!==this._fullscreen&&(this._fullscreen=!this._fullscreen,this._fullscreenButton.classList.toggle("mapboxgl-ctrl-shrink"),this._fullscreenButton.classList.toggle("mapboxgl-ctrl-fullscreen"),this._updateTitle())},ea.prototype._onClickFullscreen=function(){this._isFullscreen()?t.window.document.exitFullscreen?t.window.document.exitFullscreen():t.window.document.mozCancelFullScreen?t.window.document.mozCancelFullScreen():t.window.document.msExitFullscreen?t.window.document.msExitFullscreen():t.window.document.webkitCancelFullScreen&&t.window.document.webkitCancelFullScreen():this._container.requestFullscreen?this._container.requestFullscreen():this._container.mozRequestFullScreen?this._container.mozRequestFullScreen():this._container.msRequestFullscreen?this._container.msRequestFullscreen():this._container.webkitRequestFullscreen&&this._container.webkitRequestFullscreen()};var ra={closeButton:!0,closeOnClick:!0,focusAfterOpen:!0,className:"",maxWidth:"240px"},na=["a[href]","[tabindex]:not([tabindex='-1'])","[contenteditable]:not([contenteditable='false'])","button:not([disabled])","input:not([disabled])","select:not([disabled])","textarea:not([disabled])"].join(", "),ia=function(e){function n(r){e.call(this),this.options=t.extend(Object.create(ra),r),t.bindAll(["_update","_onClose","remove","_onMouseMove","_onMouseUp","_onDrag"],this)}return e&&(n.__proto__=e),n.prototype=Object.create(e&&e.prototype),n.prototype.constructor=n,n.prototype.addTo=function(e){return this._map&&this.remove(),this._map=e,this.options.closeOnClick&&this._map.on("click",this._onClose),this.options.closeOnMove&&this._map.on("move",this._onClose),this._map.on("remove",this.remove),this._update(),this._focusFirstElement(),this._trackPointer?(this._map.on("mousemove",this._onMouseMove),this._map.on("mouseup",this._onMouseUp),this._container&&this._container.classList.add("mapboxgl-popup-track-pointer"),this._map._canvasContainer.classList.add("mapboxgl-track-pointer")):this._map.on("move",this._update),this.fire(new t.Event("open")),this},n.prototype.isOpen=function(){return!!this._map},n.prototype.remove=function(){return this._content&&r.remove(this._content),this._container&&(r.remove(this._container),delete this._container),this._map&&(this._map.off("move",this._update),this._map.off("move",this._onClose),this._map.off("click",this._onClose),this._map.off("remove",this.remove),this._map.off("mousemove",this._onMouseMove),this._map.off("mouseup",this._onMouseUp),this._map.off("drag",this._onDrag),delete this._map),this.fire(new t.Event("close")),this},n.prototype.getLngLat=function(){return this._lngLat},n.prototype.setLngLat=function(e){return this._lngLat=t.LngLat.convert(e),this._pos=null,this._trackPointer=!1,this._update(),this._map&&(this._map.on("move",this._update),this._map.off("mousemove",this._onMouseMove),this._container&&this._container.classList.remove("mapboxgl-popup-track-pointer"),this._map._canvasContainer.classList.remove("mapboxgl-track-pointer")),this},n.prototype.trackPointer=function(){return this._trackPointer=!0,this._pos=null,this._update(),this._map&&(this._map.off("move",this._update),this._map.on("mousemove",this._onMouseMove),this._map.on("drag",this._onDrag),this._container&&this._container.classList.add("mapboxgl-popup-track-pointer"),this._map._canvasContainer.classList.add("mapboxgl-track-pointer")),this},n.prototype.getElement=function(){return this._container},n.prototype.setText=function(e){return this.setDOMContent(t.window.document.createTextNode(e))},n.prototype.setHTML=function(e){var r,n=t.window.document.createDocumentFragment(),i=t.window.document.createElement("body");for(i.innerHTML=e;r=i.firstChild;)n.appendChild(r);return this.setDOMContent(n)},n.prototype.getMaxWidth=function(){return this._container&&this._container.style.maxWidth},n.prototype.setMaxWidth=function(t){return this.options.maxWidth=t,this._update(),this},n.prototype.setDOMContent=function(t){if(this._content)for(;this._content.hasChildNodes();)this._content.firstChild&&this._content.removeChild(this._content.firstChild);else this._content=r.create("div","mapboxgl-popup-content",this._container);return this._content.appendChild(t),this._createCloseButton(),this._update(),this._focusFirstElement(),this},n.prototype.addClassName=function(t){this._container&&this._container.classList.add(t)},n.prototype.removeClassName=function(t){this._container&&this._container.classList.remove(t)},n.prototype.setOffset=function(t){return this.options.offset=t,this._update(),this},n.prototype.toggleClassName=function(t){if(this._container)return this._container.classList.toggle(t)},n.prototype._createCloseButton=function(){this.options.closeButton&&(this._closeButton=r.create("button","mapboxgl-popup-close-button",this._content),this._closeButton.type="button",this._closeButton.setAttribute("aria-label","Close popup"),this._closeButton.innerHTML="×",this._closeButton.addEventListener("click",this._onClose))},n.prototype._onMouseUp=function(t){this._update(t.point)},n.prototype._onMouseMove=function(t){this._update(t.point)},n.prototype._onDrag=function(t){this._update(t.point)},n.prototype._update=function(t){var e=this,n=this._lngLat||this._trackPointer;if(this._map&&n&&this._content&&(this._container||(this._container=r.create("div","mapboxgl-popup",this._map.getContainer()),this._tip=r.create("div","mapboxgl-popup-tip",this._container),this._container.appendChild(this._content),this.options.className&&this.options.className.split(" ").forEach((function(t){return e._container.classList.add(t)})),this._trackPointer&&this._container.classList.add("mapboxgl-popup-track-pointer")),this.options.maxWidth&&this._container.style.maxWidth!==this.options.maxWidth&&(this._container.style.maxWidth=this.options.maxWidth),this._map.transform.renderWorldCopies&&!this._trackPointer&&(this._lngLat=Vi(this._lngLat,this._pos,this._map.transform)),!this._trackPointer||t)){var i=this._pos=this._trackPointer&&t?t:this._map.project(this._lngLat),a=this.options.anchor,o=aa(this.options.offset);if(!a){var s,l=this._container.offsetWidth,u=this._container.offsetHeight;s=i.y+o.bottom.ythis._map.transform.height-u?["bottom"]:[],i.xthis._map.transform.width-l/2&&s.push("right"),a=0===s.length?"bottom":s.join("-")}var c=i.add(o[a]).round();r.setTransform(this._container,qi[a]+" translate("+c.x+"px,"+c.y+"px)"),Hi(this._container,a,"popup")}},n.prototype._focusFirstElement=function(){if(this.options.focusAfterOpen&&this._container){var t=this._container.querySelector(na);t&&t.focus()}},n.prototype._onClose=function(){this.remove()},n}(t.Evented);function aa(e){if(e){if("number"==typeof e){var r=Math.round(Math.sqrt(.5*Math.pow(e,2)));return{center:new t.Point(0,0),top:new t.Point(0,e),"top-left":new t.Point(r,r),"top-right":new t.Point(-r,r),bottom:new t.Point(0,-e),"bottom-left":new t.Point(r,-r),"bottom-right":new t.Point(-r,-r),left:new t.Point(e,0),right:new t.Point(-e,0)}}if(e instanceof t.Point||Array.isArray(e)){var n=t.Point.convert(e);return{center:n,top:n,"top-left":n,"top-right":n,bottom:n,"bottom-left":n,"bottom-right":n,left:n,right:n}}return{center:t.Point.convert(e.center||[0,0]),top:t.Point.convert(e.top||[0,0]),"top-left":t.Point.convert(e["top-left"]||[0,0]),"top-right":t.Point.convert(e["top-right"]||[0,0]),bottom:t.Point.convert(e.bottom||[0,0]),"bottom-left":t.Point.convert(e["bottom-left"]||[0,0]),"bottom-right":t.Point.convert(e["bottom-right"]||[0,0]),left:t.Point.convert(e.left||[0,0]),right:t.Point.convert(e.right||[0,0])}}return aa(new t.Point(0,0))}var oa={version:t.version,supported:e,setRTLTextPlugin:t.setRTLTextPlugin,getRTLTextPluginStatus:t.getRTLTextPluginStatus,Map:Fi,NavigationControl:ji,GeolocateControl:Ki,AttributionControl:Ei,ScaleControl:$i,FullscreenControl:ea,Popup:ia,Marker:Wi,Style:Ye,LngLat:t.LngLat,LngLatBounds:t.LngLatBounds,Point:t.Point,MercatorCoordinate:t.MercatorCoordinate,Evented:t.Evented,config:t.config,prewarm:function(){jt().acquire(Rt)},clearPrewarmedResources:function(){var t=Bt;t&&(t.isPreloaded()&&1===t.numActive()?(t.release(Rt),Bt=null):console.warn("Could not clear WebWorkers since there are active Map instances that still reference it. The pre-warmed WebWorker pool can only be cleared when all map instances have been removed with map.remove()"))},get accessToken(){return t.config.ACCESS_TOKEN},set accessToken(e){t.config.ACCESS_TOKEN=e},get baseApiUrl(){return t.config.API_URL},set baseApiUrl(e){t.config.API_URL=e},get workerCount(){return Ft.workerCount},set workerCount(t){Ft.workerCount=t},get maxParallelImageRequests(){return t.config.MAX_PARALLEL_IMAGE_REQUESTS},set maxParallelImageRequests(e){t.config.MAX_PARALLEL_IMAGE_REQUESTS=e},clearStorage:function(e){t.clearTileCache(e)},workerUrl:""};return oa})),r}()},3108:function(t,e,r){"use strict";t.exports=r(26099)},26099:function(t,e,r){"use strict";var n=r(64928),i=r(32420),a=r(51160),o=r(76752),s=r(55616),l=r(31264),u=r(47520),c=r(18400),f=r(72512),h=r(76244);function p(t,e){for(var r=e[0],n=e[1],a=1/(e[2]-r),o=1/(e[3]-n),s=new Array(t.length),l=0,u=t.length/2;l>>1;e.dtype||(e.dtype="array"),"string"==typeof e.dtype?d=new(f(e.dtype))(g):e.dtype&&(d=e.dtype,Array.isArray(d)&&(d.length=g));for(var y=0;yr||s>1073741824){for(var h=0;hr+i||M>n+i||S=C||o===s)){var l=m[a];void 0===s&&(s=l.length);for(var u=o;u=g&&f<=w&&h>=y&&h<=T&&P.push(c)}var p=x[a],d=p[4*o+0],v=p[4*o+1],b=p[4*o+2],_=p[4*o+3],k=function(t,e){for(var r=null,n=0;null===r;)if(r=t[4*e+n],++n>t.length)return null;return r}(p,o+1),E=.5*i,O=a+1;e(r,n,E,O,d,v||b||_||k),e(r,n+E,E,O,v,b||_||k),e(r+E,n,E,O,b,_||k),e(r+E,n+E,E,O,_,k)}}(0,0,1,0,0,1),P},d;function E(t,e,r){for(var n=1,i=.5,a=.5,o=.5,s=0;s0){e+=Math.abs(o(t[0]));for(var r=1;r2){for(l=0;l=0))throw new Error("precision must be a positive number");var r=Math.pow(10,e||0);return Math.round(t*r)/r},e.radiansToLength=c,e.lengthToRadians=f,e.lengthToDegrees=function(t,e){return h(f(t,e))},e.bearingToAzimuth=function(t){var e=t%360;return e<0&&(e+=360),e},e.radiansToDegrees=h,e.degreesToRadians=function(t){return t%360*Math.PI/180},e.convertLength=function(t,e,r){if(void 0===e&&(e="kilometers"),void 0===r&&(r="kilometers"),!(t>=0))throw new Error("length must be a positive number");return c(f(t,e),r)},e.convertArea=function(t,r,n){if(void 0===r&&(r="meters"),void 0===n&&(n="kilometers"),!(t>=0))throw new Error("area must be a positive number");var i=e.areaFactors[r];if(!i)throw new Error("invalid original units");var a=e.areaFactors[n];if(!a)throw new Error("invalid final units");return t/i*a},e.isNumber=p,e.isObject=function(t){return!!t&&t.constructor===Object},e.validateBBox=function(t){if(!t)throw new Error("bbox is required");if(!Array.isArray(t))throw new Error("bbox must be an Array");if(4!==t.length&&6!==t.length)throw new Error("bbox must be an Array of 4 or 6 numbers");t.forEach((function(t){if(!p(t))throw new Error("bbox must only contain numbers")}))},e.validateId=function(t){if(!t)throw new Error("id is required");if(-1===["string","number"].indexOf(typeof t))throw new Error("id must be a number or a string")}},3256:function(t,e,r){"use 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n=r(50896);function i(){this.regionalOptions=[],this.regionalOptions[""]={invalidCalendar:"Calendar {0} not found",invalidDate:"Invalid {0} date",invalidMonth:"Invalid {0} month",invalidYear:"Invalid {0} year",differentCalendars:"Cannot mix {0} and {1} dates"},this.local=this.regionalOptions[""],this.calendars={},this._localCals={}}function a(t,e,r,n){if(this._calendar=t,this._year=e,this._month=r,this._day=n,0===this._calendar._validateLevel&&!this._calendar.isValid(this._year,this._month,this._day))throw(u.local.invalidDate||u.regionalOptions[""].invalidDate).replace(/\{0\}/,this._calendar.local.name)}function o(t,e){return"000000".substring(0,e-(t=""+t).length)+t}function s(){this.shortYearCutoff="+10"}function l(t){this.local=this.regionalOptions[t]||this.regionalOptions[""]}n(i.prototype,{instance:function(t,e){t=(t||"gregorian").toLowerCase(),e=e||"";var r=this._localCals[t+"-"+e];if(!r&&this.calendars[t]&&(r=new 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0===arguments.length?this._day:this.set(t,"d")},date:function(t,e,r){if(!this._calendar.isValid(t,e,r))throw(u.local.invalidDate||u.regionalOptions[""].invalidDate).replace(/\{0\}/,this._calendar.local.name);return this._year=t,this._month=e,this._day=r,this},leapYear:function(){return this._calendar.leapYear(this)},epoch:function(){return this._calendar.epoch(this)},formatYear:function(){return this._calendar.formatYear(this)},monthOfYear:function(){return this._calendar.monthOfYear(this)},weekOfYear:function(){return this._calendar.weekOfYear(this)},daysInYear:function(){return this._calendar.daysInYear(this)},dayOfYear:function(){return this._calendar.dayOfYear(this)},daysInMonth:function(){return this._calendar.daysInMonth(this)},dayOfWeek:function(){return this._calendar.dayOfWeek(this)},weekDay:function(){return this._calendar.weekDay(this)},extraInfo:function(){return this._calendar.extraInfo(this)},add:function(t,e){return this._calendar.add(this,t,e)},set:function(t,e){return this._calendar.set(this,t,e)},compareTo:function(t){if(this._calendar.name!==t._calendar.name)throw(u.local.differentCalendars||u.regionalOptions[""].differentCalendars).replace(/\{0\}/,this._calendar.local.name).replace(/\{1\}/,t._calendar.local.name);var e=this._year!==t._year?this._year-t._year:this._month!==t._month?this.monthOfYear()-t.monthOfYear():this._day-t._day;return 0===e?0:e<0?-1:1},calendar:function(){return this._calendar},toJD:function(){return this._calendar.toJD(this)},fromJD:function(t){return this._calendar.fromJD(t)},toJSDate:function(){return this._calendar.toJSDate(this)},fromJSDate:function(t){return this._calendar.fromJSDate(t)},toString:function(){return(this.year()<0?"-":"")+o(Math.abs(this.year()),4)+"-"+o(this.month(),2)+"-"+o(this.day(),2)}}),n(s.prototype,{_validateLevel:0,newDate:function(t,e,r){return null==t?this.today():(t.year&&(this._validate(t,e,r,u.local.invalidDate||u.regionalOptions[""].invalidDate),r=t.day(),e=t.month(),t=t.year()),new a(this,t,e,r))},today:function(){return this.fromJSDate(new Date)},epoch:function(t){return this._validate(t,this.minMonth,this.minDay,u.local.invalidYear||u.regionalOptions[""].invalidYear).year()<0?this.local.epochs[0]:this.local.epochs[1]},formatYear:function(t){var e=this._validate(t,this.minMonth,this.minDay,u.local.invalidYear||u.regionalOptions[""].invalidYear);return(e.year()<0?"-":"")+o(Math.abs(e.year()),4)},monthsInYear:function(t){return this._validate(t,this.minMonth,this.minDay,u.local.invalidYear||u.regionalOptions[""].invalidYear),12},monthOfYear:function(t,e){var r=this._validate(t,e,this.minDay,u.local.invalidMonth||u.regionalOptions[""].invalidMonth);return(r.month()+this.monthsInYear(r)-this.firstMonth)%this.monthsInYear(r)+this.minMonth},fromMonthOfYear:function(t,e){var r=(e+this.firstMonth-2*this.minMonth)%this.monthsInYear(t)+this.minMonth;return 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0!==_&&Math.min(c,_)-Math.max(u,b)>1&&("left"===i.side?(s=i._mainLinePosition,l=r.width):l=i._mainLinePosition):void 0!==m&&void 0!==x&&Math.min(c,x)-Math.max(u,m)>1&&("top"===i.side?(s=i._mainLinePosition,l=r.height):l=i._mainLinePosition)}g[y++]=[{datum:t,traceIndex:t.trace.index,dp:0,pos:t.pos,posref:t.posref,size:t.by*(a?T:1)/2,pmin:s,pmax:l}]})),g.sort((function(t,e){return t[0].posref-e[0].posref||d*(e[0].traceIndex-t[0].traceIndex)}));!i&&p<=v;){for(p++,i=!0,s=0;s.01&&L.pmin===C.pmin&&L.pmax===C.pmax){for(l=E.length-1;l>=0;l--)E[l].dp+=a;for(S.push.apply(S,E),g.splice(s+1,1),c=0,l=S.length-1;l>=0;l--)c+=S[l].dp;for(o=c/S.length,l=S.length-1;l>=0;l--)S[l].dp-=o;i=!1}else s++}g.forEach(A)}for(s=g.length-1;s>=0;s--){var P=g[s];for(l=P.length-1;l>=0;l--){var O=P[l],I=O.datum;I.offset=O.dp,I.del=O.del}}}(Zt,Wt,c,Xt.commonLabelBoundingBox),z(Zt,Wt,c._invScaleX,c._invScaleY)),s&&s.tagName){var Kt=g.getComponentMethod("annotations","hasClickToShow")(t,Ot);f(n.select(s),Kt?"pointer":"")}s&&!a&&function(t,e,r){if(!r||r.length!==t._hoverdata.length)return!0;for(var n=r.length-1;n>=0;n--){var i=r[n],a=t._hoverdata[n];if(i.curveNumber!==a.curveNumber||String(i.pointNumber)!==String(a.pointNumber)||String(i.pointNumbers)!==String(a.pointNumbers))return!0}return!1}(t,0,Pt)&&(Pt&&t.emit("plotly_unhover",{event:e,points:Pt}),t.emit("plotly_hover",{event:e,points:t._hoverdata,xaxes:_,yaxes:w,xvals:H,yvals:G}))}(t,e,r,a,s)}))},e.loneHover=function(t,e){var r=!0;Array.isArray(t)||(r=!1,t=[t]);var i=e.gd,a=U(i),o=V(i),s=O(t.map((function(t){var r=t._x0||t.x0||t.x||0,n=t._x1||t.x1||t.x||0,s=t._y0||t.y0||t.y||0,l=t._y1||t.y1||t.y||0,u=t.eventData;if(u){var c=Math.min(r,n),f=Math.max(r,n),h=Math.min(s,l),d=Math.max(s,l),v=t.trace;if(g.traceIs(v,"gl3d")){var y=i._fullLayout[v.scene]._scene.container,m=y.offsetLeft,x=y.offsetTop;c+=m,f+=m,h+=x,d+=x}u.bbox={x0:c+o,x1:f+o,y0:h+a,y1:d+a},e.inOut_bbox&&e.inOut_bbox.push(u.bbox)}else u=!1;return{color:t.color||p.defaultLine,x0:t.x0||t.x||0,x1:t.x1||t.x||0,y0:t.y0||t.y||0,y1:t.y1||t.y||0,xLabel:t.xLabel,yLabel:t.yLabel,zLabel:t.zLabel,text:t.text,name:t.name,idealAlign:t.idealAlign,borderColor:t.borderColor,fontFamily:t.fontFamily,fontSize:t.fontSize,fontColor:t.fontColor,nameLength:t.nameLength,textAlign:t.textAlign,trace:t.trace||{index:0,hoverinfo:""},xa:{_offset:0},ya:{_offset:0},index:0,hovertemplate:t.hovertemplate||!1,hovertemplateLabels:t.hovertemplateLabels||!1,eventData:u}})),{gd:i,hovermode:"closest",rotateLabels:!1,bgColor:e.bgColor||p.background,container:n.select(e.container),outerContainer:e.outerContainer||e.container}).hoverLabels,l=0,u=0;return s.sort((function(t,e){return t.y0-e.y0})).each((function(t,r){var n=t.y0-t.by/2;t.offset=n-5([\s\S]*)<\/extra>/;function O(t,e){var r=e.gd,i=r._fullLayout,a=e.hovermode,u=e.rotateLabels,f=e.bgColor,d=e.container,v=e.outerContainer,w=e.commonLabelOpts||{};if(0===t.length)return[[]];var T=e.fontFamily||m.HOVERFONT,k=e.fontSize||m.HOVERFONTSIZE,A=t[0],E=A.xa,L=A.ya,P=a.charAt(0),O=P+"Label",D=A[O];if(void 0===D&&"multicategory"===E.type)for(var z=0;zi.width-b?(g=i.width-b,e.attr("d","M"+(b-M)+",0L"+b+","+x+M+"v"+x+(2*S+m.height)+"H-"+b+"V"+x+M+"H"+(b-2*M)+"Z")):e.attr("d","M0,0L"+M+","+x+M+"H"+b+"v"+x+(2*S+m.height)+"H-"+b+"V"+x+M+"H-"+M+"Z"),Y.minX=g-b,Y.maxX=g+b,"top"===E.side?(Y.minY=y-(2*S+m.height),Y.maxY=y-S):(Y.minY=y+S,Y.maxY=y+(2*S+m.height))}else{var _,C,P;"right"===L.side?(_="start",C=1,P="",g=E._offset+E._length):(_="end",C=-1,P="-",g=E._offset),y=L._offset+(A.y0+A.y1)/2,l.attr("text-anchor",_),e.attr("d","M0,0L"+P+M+","+M+"V"+(S+m.height/2)+"h"+P+(2*S+m.width)+"V-"+(S+m.height/2)+"H"+P+M+"V-"+M+"Z"),Y.minY=y-(S+m.height/2),Y.maxY=y+(S+m.height/2),"right"===L.side?(Y.minX=g+M,Y.maxX=g+M+(2*S+m.width)):(Y.minX=g-M-(2*S+m.width),Y.maxX=g-M);var O,I=m.height/2,z=F-m.top-I,R="clip"+i._uid+"commonlabel"+L._id;if(g=0?lt:ut+ht=0?ut:bt+ht=0?ot:st+pt=0?st:_t+pt=0,"top"!==t.idealAlign&&G||!W?G?(O+=R/2,t.anchor="start"):t.anchor="middle":(O-=R/2,t.anchor="end"),t.crossPos=O;else{if(t.pos=O,G=P+z/2+Y<=B,W=P-z/2-Y>=0,"left"!==t.idealAlign&&G||!W)if(G)P+=z/2,t.anchor="start";else{t.anchor="middle";var X=Y/2,Z=P+X-B,K=P-X;Z>0&&(P-=Z),K<0&&(P+=-K)}else P-=z/2,t.anchor="end";t.crossPos=P}w.attr("text-anchor",t.anchor),E&&A.attr("text-anchor",t.anchor),e.attr("transform",s(P,O)+(u?l(_):""))})),{hoverLabels:wt,commonLabelBoundingBox:Y}}function I(t,e,r,n,i,a){var s="",l="";void 0!==t.nameOverride&&(t.name=t.nameOverride),t.name&&(t.trace._meta&&(t.name=o.templateString(t.name,t.trace._meta)),s=N(t.name,t.nameLength));var u=r.charAt(0),c="x"===u?"y":"x";void 0!==t.zLabel?(void 0!==t.xLabel&&(l+="x: "+t.xLabel+"
"),void 0!==t.yLabel&&(l+="y: "+t.yLabel+"
"),"choropleth"!==t.trace.type&&"choroplethmapbox"!==t.trace.type&&(l+=(l?"z: ":"")+t.zLabel)):e&&t[u+"Label"]===i?l=t[c+"Label"]||"":void 0===t.xLabel?void 0!==t.yLabel&&"scattercarpet"!==t.trace.type&&(l=t.yLabel):l=void 0===t.yLabel?t.xLabel:"("+t.xLabel+", "+t.yLabel+")",!t.text&&0!==t.text||Array.isArray(t.text)||(l+=(l?"
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i,s,l,u,f=r.select("text.nums"),p=t.anchor,d="end"===p?-1:1,v=(u=(l=(s={start:1,end:-1,middle:0}[(i=t).anchor])*(M+S))+s*(i.txwidth+S),"middle"===i.anchor&&(l-=i.tx2width/2,u+=i.txwidth/2+S),{alignShift:s,textShiftX:l,text2ShiftX:u}),g=D(t,e),y=g.x,m=g.y,x="middle"===p;r.select("path").attr("d",x?"M-"+a(t.bx/2+t.tx2width/2)+","+o(m-t.by/2)+"h"+a(t.bx)+"v"+o(t.by)+"h-"+a(t.bx)+"Z":"M0,0L"+a(d*M+y)+","+o(M+m)+"v"+o(t.by/2-M)+"h"+a(d*t.bx)+"v-"+o(t.by)+"H"+a(d*M+y)+"V"+o(m-M)+"Z");var b=y+v.textShiftX,_=m+t.ty0-t.by/2+S,w=t.textAlign||"auto";"auto"!==w&&("left"===w&&"start"!==p?(f.attr("text-anchor","start"),b=x?-t.bx/2-t.tx2width/2+S:-t.bx-S):"right"===w&&"end"!==p&&(f.attr("text-anchor","end"),b=x?t.bx/2-t.tx2width/2-S:t.bx+S)),f.call(c.positionText,a(b),o(_)),t.tx2width&&(r.select("text.name").call(c.positionText,a(v.text2ShiftX+v.alignShift*S+y),o(m+t.ty0-t.by/2+S)),r.select("rect").call(h.setRect,a(v.text2ShiftX+(v.alignShift-1)*t.tx2width/2+y),o(m-t.by/2-1),a(t.tx2width),o(t.by+2)))}))}function R(t,e){var r=t.index,n=t.trace||{},a=t.cd[0],s=t.cd[r]||{};function l(t){return t||i(t)&&0===t}var u=Array.isArray(r)?function(t,e){var i=o.castOption(a,r,t);return l(i)?i:o.extractOption({},n,"",e)}:function(t,e){return o.extractOption(s,n,t,e)};function c(e,r,n){var i=u(r,n);l(i)&&(t[e]=i)}if(c("hoverinfo","hi","hoverinfo"),c("bgcolor","hbg","hoverlabel.bgcolor"),c("borderColor","hbc","hoverlabel.bordercolor"),c("fontFamily","htf","hoverlabel.font.family"),c("fontSize","hts","hoverlabel.font.size"),c("fontColor","htc","hoverlabel.font.color"),c("nameLength","hnl","hoverlabel.namelength"),c("textAlign","hta","hoverlabel.align"),t.posref="y"===e||"closest"===e&&"h"===n.orientation?t.xa._offset+(t.x0+t.x1)/2:t.ya._offset+(t.y0+t.y1)/2,t.x0=o.constrain(t.x0,0,t.xa._length),t.x1=o.constrain(t.x1,0,t.xa._length),t.y0=o.constrain(t.y0,0,t.ya._length),t.y1=o.constrain(t.y1,0,t.ya._length),void 0!==t.xLabelVal&&(t.xLabel="xLabel"in t?t.xLabel:v.hoverLabelText(t.xa,t.xLabelVal,n.xhoverformat),t.xVal=t.xa.c2d(t.xLabelVal)),void 0!==t.yLabelVal&&(t.yLabel="yLabel"in t?t.yLabel:v.hoverLabelText(t.ya,t.yLabelVal,n.yhoverformat),t.yVal=t.ya.c2d(t.yLabelVal)),void 0!==t.zLabelVal&&void 0===t.zLabel&&(t.zLabel=String(t.zLabelVal)),!(isNaN(t.xerr)||"log"===t.xa.type&&t.xerr<=0)){var f=v.tickText(t.xa,t.xa.c2l(t.xerr),"hover").text;void 0!==t.xerrneg?t.xLabel+=" +"+f+" / -"+v.tickText(t.xa,t.xa.c2l(t.xerrneg),"hover").text:t.xLabel+=" ± "+f,"x"===e&&(t.distance+=1)}if(!(isNaN(t.yerr)||"log"===t.ya.type&&t.yerr<=0)){var h=v.tickText(t.ya,t.ya.c2l(t.yerr),"hover").text;void 0!==t.yerrneg?t.yLabel+=" +"+h+" / -"+v.tickText(t.ya,t.ya.c2l(t.yerrneg),"hover").text:t.yLabel+=" ± "+h,"y"===e&&(t.distance+=1)}var p=t.hoverinfo||t.trace.hoverinfo;return p&&"all"!==p&&(-1===(p=Array.isArray(p)?p:p.split("+")).indexOf("x")&&(t.xLabel=void 0),-1===p.indexOf("y")&&(t.yLabel=void 0),-1===p.indexOf("z")&&(t.zLabel=void 0),-1===p.indexOf("text")&&(t.text=void 0),-1===p.indexOf("name")&&(t.name=void 0)),t}function F(t,e,r){var n,i,o=r.container,s=r.fullLayout,l=s._size,u=r.event,c=!!e.hLinePoint,f=!!e.vLinePoint;if(o.selectAll(".spikeline").remove(),f||c){var d=p.combine(s.plot_bgcolor,s.paper_bgcolor);if(c){var g,y,m=e.hLinePoint;n=m&&m.xa,"cursor"===(i=m&&m.ya).spikesnap?(g=u.pointerX,y=u.pointerY):(g=n._offset+m.x,y=i._offset+m.y);var x,b,_=a.readability(m.color,d)<1.5?p.contrast(d):m.color,w=i.spikemode,T=i.spikethickness,k=i.spikecolor||_,A=v.getPxPosition(t,i);if(-1!==w.indexOf("toaxis")||-1!==w.indexOf("across")){if(-1!==w.indexOf("toaxis")&&(x=A,b=g),-1!==w.indexOf("across")){var 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l=o.selectAll("g."+f.headerGroupClassName).data(r,p);l.enter().append("g").classed(f.headerGroupClassName,!0);for(var u=s.ensureSingle(o,"g",f.dropdownButtonGroupClassName,(function(t){t.style("pointer-events","all")})),c=0;cw,A=s.barLength+2*s.barPad,M=s.barWidth+2*s.barPad,S=d,E=g+y;E+M>u&&(E=u-M);var L=this.container.selectAll("rect.scrollbar-horizontal").data(k?[0]:[]);L.exit().on(".drag",null).remove(),L.enter().append("rect").classed("scrollbar-horizontal",!0).call(i.fill,s.barColor),k?(this.hbar=L.attr({rx:s.barRadius,ry:s.barRadius,x:S,y:E,width:A,height:M}),this._hbarXMin=S+A/2,this._hbarTranslateMax=w-A):(delete this.hbar,delete this._hbarXMin,delete this._hbarTranslateMax);var C=y>T,P=s.barWidth+2*s.barPad,O=s.barLength+2*s.barPad,I=d+v,D=g;I+P>l&&(I=l-P);var z=this.container.selectAll("rect.scrollbar-vertical").data(C?[0]:[]);z.exit().on(".drag",null).remove(),z.enter().append("rect").classed("scrollbar-vertical",!0).call(i.fill,s.barColor),C?(this.vbar=z.attr({rx:s.barRadius,ry:s.barRadius,x:I,y:D,width:P,height:O}),this._vbarYMin=D+O/2,this._vbarTranslateMax=T-O):(delete this.vbar,delete this._vbarYMin,delete this._vbarTranslateMax);var R=this.id,F=c-.5,B=C?f+P+.5:f+.5,N=h-.5,j=k?p+M+.5:p+.5,U=o._topdefs.selectAll("#"+R).data(k||C?[0]:[]);if(U.exit().remove(),U.enter().append("clipPath").attr("id",R).append("rect"),k||C?(this._clipRect=U.select("rect").attr({x:Math.floor(F),y:Math.floor(N),width:Math.ceil(B)-Math.floor(F),height:Math.ceil(j)-Math.floor(N)}),this.container.call(a.setClipUrl,R,this.gd),this.bg.attr({x:d,y:g,width:v,height:y})):(this.bg.attr({width:0,height:0}),this.container.on("wheel",null).on(".drag",null).call(a.setClipUrl,null),delete this._clipRect),k||C){var 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r=this.position.w-this._box.w,n=this.position.h-this._box.h;if(t=o.constrain(t||0,0,r),e=o.constrain(e||0,0,n),this.translateX=t,this.translateY=e,this.container.call(a.setTranslate,this._box.l-this.position.l-t,this._box.t-this.position.t-e),this._clipRect&&this._clipRect.attr({x:Math.floor(this.position.l+t-.5),y:Math.floor(this.position.t+e-.5)}),this.hbar){var i=t/r;this.hbar.call(a.setTranslate,t+i*this._hbarTranslateMax,e)}if(this.vbar){var s=e/n;this.vbar.call(a.setTranslate,t,e+s*this._vbarTranslateMax)}}},84284:function(t){"use strict";t.exports={FROM_BL:{left:0,center:.5,right:1,bottom:0,middle:.5,top:1},FROM_TL:{left:0,center:.5,right:1,bottom:1,middle:.5,top:0},FROM_BR:{left:1,center:.5,right:0,bottom:0,middle:.5,top:1},LINE_SPACING:1.3,CAP_SHIFT:.7,MID_SHIFT:.35,OPPOSITE_SIDE:{left:"right",right:"left",top:"bottom",bottom:"top"}}},36208:function(t){"use strict";t.exports={axisRefDescription:function(t,e,r){return["If set to a",t,"axis id (e.g. *"+t+"* or","*"+t+"2*), the 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r=t[i[e]];r.visible?(this.enabled[e]=r.showspikes,this.colors[e]=n(r.spikecolor),this.drawSides[e]=r.spikesides,this.lineWidth[e]=r.spikethickness):(this.enabled[e]=!1,this.drawSides[e]=!1)}},t.exports=function(t){var e=new a;return e.merge(t),e}},87152:function(t,e,r){"use strict";t.exports=function(t){for(var e=t.axesOptions,r=t.glplot.axesPixels,s=t.fullSceneLayout,l=[[],[],[]],u=0;u<3;++u){var c=s[a[u]];if(c._length=(r[u].hi-r[u].lo)*r[u].pixelsPerDataUnit/t.dataScale[u],Math.abs(c._length)===1/0||isNaN(c._length))l[u]=[];else{c._input_range=c.range.slice(),c.range[0]=r[u].lo/t.dataScale[u],c.range[1]=r[u].hi/t.dataScale[u],c._m=1/(t.dataScale[u]*r[u].pixelsPerDataUnit),c.range[0]===c.range[1]&&(c.range[0]-=1,c.range[1]+=1);var f=c.tickmode;if("auto"===c.tickmode){c.tickmode="linear";var h=c.nticks||i.constrain(c._length/40,4,9);n.autoTicks(c,Math.abs(c.range[1]-c.range[0])/h)}for(var p=n.calcTicks(c,{msUTC:!0}),d=0;d/g," 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F=x[u=(l=c[M[o]]).type];R[o]=Math.pow(F.acc,1/F.count)/p[o]}g="data"===D||Math.max.apply(null,R)/Math.min.apply(null,R)<=4?R:[1,1,1]}c.aspectratio.x=f.aspectratio.x=g[0],c.aspectratio.y=f.aspectratio.y=g[1],c.aspectratio.z=f.aspectratio.z=g[2],n.glplot.setAspectratio(c.aspectratio),n.viewInitial.aspectratio||(n.viewInitial.aspectratio={x:c.aspectratio.x,y:c.aspectratio.y,z:c.aspectratio.z}),n.viewInitial.aspectmode||(n.viewInitial.aspectmode=c.aspectmode);var B=c.domain||null,N=e._size||null;if(B&&N){var j=n.container.style;j.position="absolute",j.left=N.l+B.x[0]*N.w+"px",j.top=N.t+(1-B.y[1])*N.h+"px",j.width=N.w*(B.x[1]-B.x[0])+"px",j.height=N.h*(B.y[1]-B.y[0])+"px"}n.glplot.redraw()}},k.destroy=function(){var t=this;t.glplot&&(t.camera.mouseListener.enabled=!1,t.container.removeEventListener("wheel",t.camera.wheelListener),t.camera=null,t.glplot.dispose(),t.container.parentNode.removeChild(t.container),t.glplot=null)},k.getCamera=function(){var t,e=this;return e.camera.view.recalcMatrix(e.camera.view.lastT()),{up:{x:(t=e.camera).up[0],y:t.up[1],z:t.up[2]},center:{x:t.center[0],y:t.center[1],z:t.center[2]},eye:{x:t.eye[0],y:t.eye[1],z:t.eye[2]},projection:{type:!0===t._ortho?"orthographic":"perspective"}}},k.setViewport=function(t){var e,r=this,n=t.camera;r.camera.lookAt.apply(this,[[(e=n).eye.x,e.eye.y,e.eye.z],[e.center.x,e.center.y,e.center.z],[e.up.x,e.up.y,e.up.z]]),r.glplot.setAspectratio(t.aspectratio),"orthographic"===n.projection.type!==r.camera._ortho&&(r.glplot.redraw(),r.glplot.clearRGBA(),r.glplot.dispose(),r.initializeGLPlot())},k.isCameraChanged=function(t){var e=this.getCamera(),r=f.nestedProperty(t,this.id+".camera").get();function n(t,e,r,n){var i=["up","center","eye"],a=["x","y","z"];return e[i[r]]&&t[i[r]][a[n]]===e[i[r]][a[n]]}var i=!1;if(void 0===r)i=!0;else{for(var a=0;a<3;a++)for(var o=0;o<3;o++)if(!n(e,r,a,o)){i=!0;break}(!r.projection||e.projection&&e.projection.type!==r.projection.type)&&(i=!0)}return i},k.isAspectChanged=function(t){var e=this.glplot.getAspectratio(),r=f.nestedProperty(t,this.id+".aspectratio").get();return void 0===r||r.x!==e.x||r.y!==e.y||r.z!==e.z},k.saveLayout=function(t){var e,r,n,i,a,o,s=this,l=s.fullLayout,u=s.isCameraChanged(t),h=s.isAspectChanged(t),p=u||h;if(p){var d={};u&&(e=s.getCamera(),n=(r=f.nestedProperty(t,s.id+".camera")).get(),d[s.id+".camera"]=n),h&&(i=s.glplot.getAspectratio(),o=(a=f.nestedProperty(t,s.id+".aspectratio")).get(),d[s.id+".aspectratio"]=o),c.call("_storeDirectGUIEdit",t,l._preGUI,d),u&&(r.set(e),f.nestedProperty(l,s.id+".camera").set(e)),h&&(a.set(i),f.nestedProperty(l,s.id+".aspectratio").set(i),s.glplot.redraw())}return p},k.updateFx=function(t,e){var r=this,n=r.camera;if(n)if("orbit"===t)n.mode="orbit",n.keyBindingMode="rotate";else if("turntable"===t){n.up=[0,0,1],n.mode="turntable",n.keyBindingMode="rotate";var i=r.graphDiv,a=i._fullLayout,o=r.fullSceneLayout.camera,s=o.up.x,l=o.up.y,u=o.up.z;if(u/Math.sqrt(s*s+l*l+u*u)<.999){var h=r.id+".camera.up",p={x:0,y:0,z:1},d={};d[h]=p;var v=i.layout;c.call("_storeDirectGUIEdit",v,a._preGUI,d),o.up=p,f.nestedProperty(v,h).set(p)}}else n.keyBindingMode=t;r.fullSceneLayout.hovermode=e},k.toImage=function(t){var e=this;t||(t="png"),e.staticMode&&e.container.appendChild(n),e.glplot.redraw();var r=e.glplot.gl,i=r.drawingBufferWidth,a=r.drawingBufferHeight;r.bindFramebuffer(r.FRAMEBUFFER,null);var o=new Uint8Array(i*a*4);r.readPixels(0,0,i,a,r.RGBA,r.UNSIGNED_BYTE,o),function(t,e,r){for(var n=0,i=r-1;n0)for(var s=255/o,l=0;l<3;++l)t[a+l]=Math.min(s*t[a+l],255)}}(o,i,a);var s=document.createElement("canvas");s.width=i,s.height=a;var 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t=i.numbersScaler(h);z+=t[2];var e,r=S(v,"numbersScale",1,t[0],z,Math.min);v._scaleNumbers||(r=1),e=v._isAngular?y-r*h.bottom:y-r*(h.top+h.bottom)/2,v._numbersTop=r*h.top+e;var n=h[T];"center"===T&&(n=(h.left+h.right)/2);var a=g-r*n;return a=S(v,"numbersTranslate",0,a,z,Math.max),l(a,e)+s(r)}))}(t,I,e,{numbersX:v,numbersY:E,numbersScaler:L,transitionOpts:r,onComplete:g}),D&&(C={range:O.gauge.axis.range,color:O.gauge.bgcolor,line:{color:O.gauge.bordercolor,width:0},thickness:1},P={range:O.gauge.axis.range,color:"rgba(0, 0, 0, 0)",line:{color:O.gauge.bordercolor,width:O.gauge.borderwidth},thickness:1});var W=I.selectAll("g.angular").data(z?e:[]);W.exit().remove();var Y=I.selectAll("g.angularaxis").data(z?e:[]);Y.exit().remove(),z&&function(t,e,r,a){var o,s,f,h,p=r[0].trace,v=a.size,g=a.radius,y=a.innerRadius,m=a.gaugeBg,x=a.gaugeOutline,b=[v.l+v.w/2,v.t+v.h/2+g/2],_=a.gauge,A=a.layer,M=a.transitionOpts,S=a.onComplete,E=Math.PI/2;function L(t){var 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U,V,q,H=j.select("path");w(M)?(H.transition().duration(M.duration).ease(M.easing).each("end",(function(){S&&S()})).each("interrupt",(function(){S&&S()})).attrTween("d",(U=N,V=L(r[0].lastY),q=L(r[0].y),function(){var t=i(V,q);return function(e){return U.endAngle(t(e))()}})),p._lastValue=r[0].y):H.attr("d","number"==typeof r[0].y?N.endAngle(L(r[0].y)):"M0,0Z"),H.call(T),j.exit().remove(),F=[];var G=p.gauge.threshold.value;(G||0===G)&&F.push({range:[G,G],color:p.gauge.threshold.color,line:{color:p.gauge.threshold.line.color,width:p.gauge.threshold.line.width},thickness:p.gauge.threshold.thickness});var W=_.selectAll("g.threshold-arc").data(F);W.enter().append("g").classed("threshold-arc",!0).append("path"),W.select("path").call(P).call(T),W.exit().remove();var Y=_.selectAll("g.gauge-outline").data([x]);Y.enter().append("g").classed("gauge-outline",!0).append("path"),Y.select("path").call(P).call(T),Y.exit().remove()}(t,0,e,{radius:U,innerRadius:V,gauge:W,layer:Y,size:B,gaugeBg:C,gaugeOutline:P,transitionOpts:r,onComplete:g});var X=I.selectAll("g.bullet").data(R?e:[]);X.exit().remove();var Z=I.selectAll("g.bulletaxis").data(R?e:[]);Z.exit().remove(),R&&function(t,e,r,n){var i,a,o,s,u,c=r[0].trace,f=n.gauge,p=n.layer,v=n.gaugeBg,g=n.gaugeOutline,y=n.size,x=c.domain,b=n.transitionOpts,_=n.onComplete;f.enter().append("g").classed("bullet",!0),f.attr("transform",l(y.l,y.t)),p.enter().append("g").classed("bulletaxis",!0).classed("crisp",!0),p.selectAll("g.xbulletaxistick,path,text").remove();var A=y.h,M=c.gauge.bar.thickness*A,S=x.x[0],E=x.x[0]+(x.x[1]-x.x[0])*(c._hasNumber||c._hasDelta?1-h.bulletNumberDomainSize:1);function L(t){t.attr("width",(function(t){return Math.max(0,i.c2p(t.range[1])-i.c2p(t.range[0]))})).attr("x",(function(t){return 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O=f.selectAll("g.value-bullet").data([c.gauge.bar]);O.enter().append("g").classed("value-bullet",!0).append("rect"),O.select("rect").attr("height",M).attr("y",(A-M)/2).call(T),w(b)?O.select("rect").transition().duration(b.duration).ease(b.easing).each("end",(function(){_&&_()})).each("interrupt",(function(){_&&_()})).attr("width",Math.max(0,i.c2p(Math.min(c.gauge.axis.range[1],r[0].y)))):O.select("rect").attr("width","number"==typeof r[0].y?Math.max(0,i.c2p(Math.min(c.gauge.axis.range[1],r[0].y))):0),O.exit().remove();var I=r.filter((function(){return 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n=r(49084),i=r(29736).axisHoverFormat,a=r(21776).Ks,o=r(16716),s=r(45464),l=r(92880).extendFlat;t.exports=l({x:{valType:"data_array",editType:"calc+clearAxisTypes"},y:{valType:"data_array",editType:"calc+clearAxisTypes"},z:{valType:"data_array",editType:"calc+clearAxisTypes"},i:{valType:"data_array",editType:"calc"},j:{valType:"data_array",editType:"calc"},k:{valType:"data_array",editType:"calc"},text:{valType:"string",dflt:"",arrayOk:!0,editType:"calc"},hovertext:{valType:"string",dflt:"",arrayOk:!0,editType:"calc"},hovertemplate:a({editType:"calc"}),xhoverformat:i("x"),yhoverformat:i("y"),zhoverformat:i("z"),delaunayaxis:{valType:"enumerated",values:["x","y","z"],dflt:"z",editType:"calc"},alphahull:{valType:"number",dflt:-1,editType:"calc"},intensity:{valType:"data_array",editType:"calc"},intensitymode:{valType:"enumerated",values:["vertex","cell"],dflt:"vertex",editType:"calc"},color:{valType:"color",editType:"calc"},vertexcolor:{valType:"data_array",editType:"calc"},facecolor:{valType:"data_array",editType:"calc"},transforms:void 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p=s(t,e,{name:"dimensions",handleItemDefaults:f}),d=function(t,e,r,o,s){s("line.shape"),s("line.hovertemplate");var l=s("line.color",o.colorway[0]);if(i(t,"line")&&n.isArrayOrTypedArray(l)){if(l.length)return s("line.colorscale"),a(t,e,o,s,{prefix:"line.",cLetter:"c"}),l.length;e.line.color=r}return 1/0}(t,e,r,c,h);o(e,c,h),Array.isArray(p)&&p.length||(e.visible=!1),u(e,p,"values",d),h("hoveron"),h("hovertemplate"),h("arrangement"),h("bundlecolors"),h("sortpaths"),h("counts");var v={family:c.font.family,size:Math.round(c.font.size),color:c.font.color};n.coerceFont(h,"labelfont",v);var g={family:c.font.family,size:Math.round(c.font.size/1.2),color:c.font.color};n.coerceFont(h,"tickfont",g)}},22020:function(t,e,r){"use strict";t.exports={attributes:r(72140),supplyDefaults:r(76671),calc:r(69136),plot:r(60268),colorbar:{container:"line",min:"cmin",max:"cmax"},moduleType:"trace",name:"parcats",basePlotModule:r(91800),categories:["noOpacity"],meta:{}}},51036:function(t,e,r){"use strict";var n=r(33428),i=r(67756).Gz,a=r(36424),o=r(93024),s=r(3400),l=s.strTranslate,u=r(43616),c=r(49760),f=r(72736);function h(t,e,r,i){var a=e._context.staticPlot,o=t.map(F.bind(0,e,r)),c=i.selectAll("g.parcatslayer").data([null]);c.enter().append("g").attr("class","parcatslayer").style("pointer-events",a?"none":"all");var h=c.selectAll("g.trace.parcats").data(o,p),m=h.enter().append("g").attr("class","trace parcats");h.attr("transform",(function(t){return l(t.x,t.y)})),m.append("g").attr("class","paths");var x=h.select("g.paths").selectAll("path.path").data((function(t){return t.paths}),p);x.attr("fill",(function(t){return t.model.color}));var w=x.enter().append("path").attr("class","path").attr("stroke-opacity",0).attr("fill",(function(t){return t.model.color})).attr("fill-opacity",0);_(w),x.attr("d",(function(t){return t.svgD})),w.empty()||x.sort(v),x.exit().remove(),x.on("mouseover",g).on("mouseout",y).on("click",b),m.append("g").attr("class","dimensions");var A=h.select("g.dimensions").selectAll("g.dimension").data((function(t){return t.dimensions}),p);A.enter().append("g").attr("class","dimension"),A.attr("transform",(function(t){return l(t.x,0)})),A.exit().remove();var M=A.selectAll("g.category").data((function(t){return t.categories}),p),S=M.enter().append("g").attr("class","category");M.attr("transform",(function(t){return l(0,t.y)})),S.append("rect").attr("class","catrect").attr("pointer-events","none"),M.select("rect.catrect").attr("fill","none").attr("width",(function(t){return t.width})).attr("height",(function(t){return t.height})),T(S);var E=M.selectAll("rect.bandrect").data((function(t){return t.bands}),p);E.each((function(){s.raiseToTop(this)})),E.attr("fill",(function(t){return t.color}));var D=E.enter().append("rect").attr("class","bandrect").attr("stroke-opacity",0).attr("fill",(function(t){return t.color})).attr("fill-opacity",0);E.attr("fill",(function(t){return t.color})).attr("width",(function(t){return t.width})).attr("height",(function(t){return t.height})).attr("y",(function(t){return t.y})).attr("cursor",(function(t){return"fixed"===t.parcatsViewModel.arrangement?"default":"perpendicular"===t.parcatsViewModel.arrangement?"ns-resize":"move"})),k(D),E.exit().remove(),S.append("text").attr("class","catlabel").attr("pointer-events","none");var z=e._fullLayout.paper_bgcolor;M.select("text.catlabel").attr("text-anchor",(function(t){return d(t)?"start":"end"})).attr("alignment-baseline","middle").style("text-shadow",f.makeTextShadow(z)).style("fill","rgb(0, 0, 0)").attr("x",(function(t){return d(t)?t.width+5:-5})).attr("y",(function(t){return t.height/2})).text((function(t){return t.model.categoryLabel})).each((function(t){u.font(n.select(this),t.parcatsViewModel.categorylabelfont),f.convertToTspans(n.select(this),e)})),S.append("text").attr("class","dimlabel"),M.select("text.dimlabel").attr("text-anchor","middle").attr("alignment-baseline","baseline").attr("cursor",(function(t){return"fixed"===t.parcatsViewModel.arrangement?"default":"ew-resize"})).attr("x",(function(t){return t.width/2})).attr("y",-5).text((function(t,e){return 0===e?t.parcatsViewModel.model.dimensions[t.model.dimensionInd].dimensionLabel:null})).each((function(t){u.font(n.select(this),t.parcatsViewModel.labelfont)})),M.selectAll("rect.bandrect").on("mouseover",L).on("mouseout",C),M.exit().remove(),A.call(n.behavior.drag().origin((function(t){return{x:t.x,y:0}})).on("dragstart",P).on("drag",O).on("dragend",I)),h.each((function(t){t.traceSelection=n.select(this),t.pathSelection=n.select(this).selectAll("g.paths").selectAll("path.path"),t.dimensionSelection=n.select(this).selectAll("g.dimensions").selectAll("g.dimension")})),h.exit().remove()}function p(t){return t.key}function d(t){var e=t.parcatsViewModel.dimensions.length,r=t.parcatsViewModel.dimensions[e-1].model.dimensionInd;return t.model.dimensionInd===r}function v(t,e){return t.model.rawColor>e.model.rawColor?1:t.model.rawColor"),L=n.mouse(f)[0];o.loneHover({trace:h,x:b-d.left+v.left,y:_-d.top+v.top,text:E,color:t.model.color,borderColor:"black",fontFamily:'Monaco, "Courier New", 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e=t.parcatsViewModel;e.dragDimension||(_(e.pathSelection),T(e.dimensionSelection.selectAll("g.category")),k(e.dimensionSelection.selectAll("g.category").selectAll("rect.bandrect")),o.loneUnhover(e.graphDiv._fullLayout._hoverlayer.node()),e.pathSelection.sort(v),-1!==e.hoverinfoItems.indexOf("skip"))||("color"===t.parcatsViewModel.hoveron?S(this,"plotly_unhover",n.event):M(this,"plotly_unhover",n.event))}function P(t){"fixed"!==t.parcatsViewModel.arrangement&&(t.dragDimensionDisplayInd=t.model.displayInd,t.initialDragDimensionDisplayInds=t.parcatsViewModel.model.dimensions.map((function(t){return t.displayInd})),t.dragHasMoved=!1,t.dragCategoryDisplayInd=null,n.select(this).selectAll("g.category").select("rect.catrect").each((function(e){var r=n.mouse(this)[0],i=n.mouse(this)[1];-2<=r&&r<=e.width+2&&-2<=i&&i<=e.height+2&&(t.dragCategoryDisplayInd=e.model.displayInd,t.initialDragCategoryDisplayInds=t.model.categories.map((function(t){return 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t,e,r=[];return{set:function(n){1===(r=n.map((function(t){return t.slice().sort(s)})).sort(A)).length&&r[0][0]===-1/0&&r[0][1]===1/0&&(r=[[0,-1]]),t=S(r),e=r.reduce((function(t,e){return[Math.min(t[0],e[0]),Math.max(t[1],e[1])]}),[1/0,-1/0])},get:function(){return r.slice()},getConsolidated:function(){return t},getBounds:function(){return e}}}();return l.set(r),{filter:l,filterSpecified:e,svgBrush:{extent:[],brushStartCallback:n,brushCallback:(o=i,function(t){var e=t.brush,r=function(t){return t.svgBrush.extent.map((function(t){return t.slice()}))}(e),n=r.slice();e.filter.set(n),o()}),brushEndCallback:a}}},ensureAxisBrush:function(t,e,r){var i=t.selectAll("."+n.cn.axisBrush).data(o,a);i.enter().append("g").classed(n.cn.axisBrush,!0),function(t,e,r){var 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n=e[0].trace;c[r]=n.index;var i=f[r]=n._fullInput.index;l[r]=t.data[i].dimensions,u[r]=t.data[i].dimensions.slice()})),n(t,e,{width:h.w,height:h.h,margin:{t:h.t,r:h.r,b:h.b,l:h.l}},{filterChanged:function(e,n,i){var a=u[e][n],o=i.map((function(t){return t.slice()})),s="dimensions["+n+"].constraintrange",l=r._tracePreGUI[t._fullData[c[e]]._fullInput.uid];if(void 0===l[s]){var h=a.constraintrange;l[s]=h||null}var p=t._fullData[c[e]].dimensions[n];o.length?(1===o.length&&(o=o[0]),a.constraintrange=o,p.constraintrange=o.slice(),o=[o]):(delete a.constraintrange,delete p.constraintrange,o=null);var d={};d[s]=o,t.emit("plotly_restyle",[d,[f[e]]])},hover:function(e){t.emit("plotly_hover",e)},unhover:function(e){t.emit("plotly_unhover",e)},axesMoved:function(e,r){var n=function(t,e){return function(r,n){return s(t,e,r)-s(t,e,n)}}(r,u[e].filter(a));l[e].sort(n),u[e].filter((function(t){return!a(t)})).sort((function(t){return 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n=r(45464),i=r(86968).u,a=r(25376),o=r(22548),s=r(21776).Ks,l=r(21776).Gw,u=r(92880).extendFlat,c=r(98192).c,f=a({editType:"plot",arrayOk:!0,colorEditType:"plot"});t.exports={labels:{valType:"data_array",editType:"calc"},label0:{valType:"number",dflt:0,editType:"calc"},dlabel:{valType:"number",dflt:1,editType:"calc"},values:{valType:"data_array",editType:"calc"},marker:{colors:{valType:"data_array",editType:"calc"},line:{color:{valType:"color",dflt:o.defaultLine,arrayOk:!0,editType:"style"},width:{valType:"number",min:0,dflt:0,arrayOk:!0,editType:"style"},editType:"calc"},pattern:c,editType:"calc"},text:{valType:"data_array",editType:"plot"},hovertext:{valType:"string",dflt:"",arrayOk:!0,editType:"style"},scalegroup:{valType:"string",dflt:"",editType:"calc"},textinfo:{valType:"flaglist",flags:["label","text","value","percent"],extras:["none"],editType:"calc"},hoverinfo:u({},n.hoverinfo,{flags:["label","text","value","percent","name"]}),hovertemplate:s({},{keys:["label","color","value","percent","text"]}),texttemplate:l({editType:"plot"},{keys:["label","color","value","percent","text"]}),textposition:{valType:"enumerated",values:["inside","outside","auto","none"],dflt:"auto",arrayOk:!0,editType:"plot"},textfont:u({},f,{}),insidetextorientation:{valType:"enumerated",values:["horizontal","radial","tangential","auto"],dflt:"auto",editType:"plot"},insidetextfont:u({},f,{}),outsidetextfont:u({},f,{}),automargin:{valType:"boolean",dflt:!1,editType:"plot"},title:{text:{valType:"string",dflt:"",editType:"plot"},font:u({},f,{}),position:{valType:"enumerated",values:["top 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n=r(38248),i=r(49760),a=r(76308),o={};function s(t){return function(e,r){return!!e&&!!(e=i(e)).isValid()&&(e=a.addOpacity(e,e.getAlpha()),t[r]||(t[r]=e),e)}}function l(t,e){var r,n=JSON.stringify(t),a=e[n];if(!a){for(a=t.slice(),r=0;r=0})),("funnelarea"===e.type?y:e.sort)&&a.sort((function(t,e){return e.v-t.v})),a[0]&&(a[0].vTotal=g),a},crossTraceCalc:function(t,e){var r=(e||{}).type;r||(r="pie");var n=t._fullLayout,i=t.calcdata,a=n[r+"colorway"],s=n["_"+r+"colormap"];n["extend"+r+"colors"]&&(a=l(a,o));for(var u=0,c=0;c0){s=!0;break}}s||(o=0)}return{hasLabels:r,hasValues:a,len:o}}function c(t,e,r,n,i){n("marker.line.width")&&n("marker.line.color",i?void 0:r.paper_bgcolor);var a=n("marker.colors");l(n,"marker.pattern",a),t.marker&&!e.marker.pattern.fgcolor&&(e.marker.pattern.fgcolor=t.marker.colors),e.marker.pattern.bgcolor||(e.marker.pattern.bgcolor=r.paper_bgcolor)}t.exports={handleLabelsAndValues:u,handleMarkerDefaults:c,supplyDefaults:function(t,e,r,n){function l(r,n){return i.coerce(t,e,a,r,n)}var f=u(l("labels"),l("values")),h=f.len;if(e._hasLabels=f.hasLabels,e._hasValues=f.hasValues,!e._hasLabels&&e._hasValues&&(l("label0"),l("dlabel")),h){e._length=h,c(t,e,n,l,!0),l("scalegroup");var p,d=l("text"),v=l("texttemplate");if(v||(p=l("textinfo",i.isArrayOrTypedArray(d)?"text+percent":"percent")),l("hovertext"),l("hovertemplate"),v||p&&"none"!==p){var g=l("textposition");s(t,e,n,l,g,{moduleHasSelected:!1,moduleHasUnselected:!1,moduleHasConstrain:!1,moduleHasCliponaxis:!1,moduleHasTextangle:!1,moduleHasInsideanchor:!1}),(Array.isArray(g)||"auto"===g||"outside"===g)&&l("automargin"),("inside"===g||"auto"===g||Array.isArray(g))&&l("insidetextorientation")}o(e,n,l);var y=l("hole");if(l("title.text")){var m=l("title.position",y?"middle center":"top center");y||"middle center"!==m||(e.title.position="top center"),i.coerceFont(l,"title.font",n.font)}l("sort"),l("direction"),l("rotation"),l("pull")}else e.visible=!1}}},53644:function(t,e,r){"use strict";var n=r(10624).appendArrayMultiPointValues;t.exports=function(t,e){var r={curveNumber:e.index,pointNumbers:t.pts,data:e._input,fullData:e,label:t.label,color:t.color,value:t.v,percent:t.percent,text:t.text,bbox:t.bbox,v:t.v};return 1===t.pts.length&&(r.pointNumber=r.i=t.pts[0]),n(r,e,t.pts),"funnelarea"===e.type&&(delete r.v,delete r.i),r}},21552:function(t,e,r){"use strict";var n=r(43616),i=r(76308);t.exports=function(t,e,r,a){var o=r.marker.pattern;o&&o.shape?n.pointStyle(t,r,a,e):i.fill(t,e.color)}},69656:function(t,e,r){"use strict";var n=r(3400);function i(t){return-1!==t.indexOf("e")?t.replace(/[.]?0+e/,"e"):-1!==t.indexOf(".")?t.replace(/[.]?0+$/,""):t}e.formatPiePercent=function(t,e){var r=i((100*t).toPrecision(3));return n.numSeparate(r,e)+"%"},e.formatPieValue=function(t,e){var r=i(t.toPrecision(10));return n.numSeparate(r,e)},e.getFirstFilled=function(t,e){if(n.isArrayOrTypedArray(t))for(var r=0;r"),name:f.hovertemplate||-1!==h.indexOf("name")?f.name:void 0,idealAlign:t.pxmid[0]<0?"left":"right",color:g.castOption(_.bgcolor,t.pts)||t.color,borderColor:g.castOption(_.bordercolor,t.pts),fontFamily:g.castOption(w.family,t.pts),fontSize:g.castOption(w.size,t.pts),fontColor:g.castOption(w.color,t.pts),nameLength:g.castOption(_.namelength,t.pts),textAlign:g.castOption(_.align,t.pts),hovertemplate:g.castOption(f.hovertemplate,t.pts),hovertemplateLabels:t,eventData:[y(t,f)]},{container:r._hoverlayer.node(),outerContainer:r._paper.node(),gd:e,inOut_bbox:T}),t.bbox=T[0],u._hasHoverLabel=!0}u._hasHoverEvent=!0,e.emit("plotly_hover",{points:[y(t,f)],event:n.event})}})),t.on("mouseout",(function(t){var r=e._fullLayout,i=e._fullData[u.index],o=n.select(this).datum();u._hasHoverEvent&&(t.originalEvent=n.event,e.emit("plotly_unhover",{points:[y(o,i)],event:n.event}),u._hasHoverEvent=!1),u._hasHoverLabel&&(a.loneUnhover(r._hoverlayer.node()),u._hasHoverLabel=!1)})),t.on("click",(function(t){var r=e._fullLayout,i=e._fullData[u.index];e._dragging||!1===r.hovermode||(e._hoverdata=[y(t,i)],a.click(e,n.event))}))}function b(t,e,r){var n=g.castOption(t.insidetextfont.color,e.pts);!n&&t._input.textfont&&(n=g.castOption(t._input.textfont.color,e.pts));var i=g.castOption(t.insidetextfont.family,e.pts)||g.castOption(t.textfont.family,e.pts)||r.family,a=g.castOption(t.insidetextfont.size,e.pts)||g.castOption(t.textfont.size,e.pts)||r.size;return{color:n||o.contrast(e.color),family:i,size:a}}function _(t,e){for(var r,n,i=0;ie&&e>n||r=-4;g-=2)y(Math.PI*g,"tan");for(g=4;g>=-4;g-=2)y(Math.PI*(g+1),"tan")}if(f||p){for(g=4;g>=-4;g-=2)y(Math.PI*(g+1.5),"rad");for(g=4;g>=-4;g-=2)y(Math.PI*(g+.5),"rad")}}if(s||d||f){var m=Math.sqrt(t.width*t.width+t.height*t.height);if((a={scale:i*n*2/m,rCenter:1-i,rotate:0}).textPosAngle=(e.startangle+e.stopangle)/2,a.scale>=1)return a;v.push(a)}(d||p)&&((a=T(t,n,o,l,u)).textPosAngle=(e.startangle+e.stopangle)/2,v.push(a)),(d||h)&&((a=k(t,n,o,l,u)).textPosAngle=(e.startangle+e.stopangle)/2,v.push(a));for(var x=0,b=0,_=0;_=1)break}return v[x]}function T(t,e,r,n,i){e=Math.max(0,e-2*v);var a=t.width/t.height,o=S(a,n,e,r);return{scale:2*o/t.height,rCenter:A(a,o/e),rotate:M(i)}}function k(t,e,r,n,i){e=Math.max(0,e-2*v);var a=t.height/t.width,o=S(a,n,e,r);return{scale:2*o/t.width,rCenter:A(a,o/e),rotate:M(i+Math.PI/2)}}function A(t,e){return Math.cos(e)-t*e}function M(t){return(180/Math.PI*t+720)%180-90}function S(t,e,r,n){var i=t+1/(2*Math.tan(e));return r*Math.min(1/(Math.sqrt(i*i+.5)+i),n/(Math.sqrt(t*t+n/2)+t))}function E(t,e){return t.v!==e.vTotal||e.trace.hole?Math.min(1/(1+1/Math.sin(t.halfangle)),t.ring/2):1}function L(t,e){var r=e.pxmid[0],n=e.pxmid[1],i=t.width/2,a=t.height/2;return r<0&&(i*=-1),n<0&&(a*=-1),{scale:1,rCenter:1,rotate:0,x:i+Math.abs(a)*(i>0?1:-1)/2,y:a/(1+r*r/(n*n)),outside:!0}}function C(t,e){var r,n,i,a=t.trace,o={x:t.cx,y:t.cy},s={tx:0,ty:0};s.ty+=a.title.font.size,i=O(a),-1!==a.title.position.indexOf("top")?(o.y-=(1+i)*t.r,s.ty-=t.titleBox.height):-1!==a.title.position.indexOf("bottom")&&(o.y+=(1+i)*t.r);var l,u=t.r/(void 0===(l=t.trace.aspectratio)?1:l),c=e.w*(a.domain.x[1]-a.domain.x[0])/2;return-1!==a.title.position.indexOf("left")?(c+=u,o.x-=(1+i)*u,s.tx+=t.titleBox.width/2):-1!==a.title.position.indexOf("center")?c*=2:-1!==a.title.position.indexOf("right")&&(c+=u,o.x+=(1+i)*u,s.tx-=t.titleBox.width/2),r=c/t.titleBox.width,n=P(t,e)/t.titleBox.height,{x:o.x,y:o.y,scale:Math.min(r,n),tx:s.tx,ty:s.ty}}function P(t,e){var r=t.trace,n=e.h*(r.domain.y[1]-r.domain.y[0]);return Math.min(t.titleBox.height,n/2)}function O(t){var e,r=t.pull;if(!r)return 0;if(l.isArrayOrTypedArray(r))for(r=0,e=0;er&&(r=t.pull[e]);return r}function I(t,e){for(var r=[],n=0;n1?c=(u=r.r)/i.aspectratio:u=(c=r.r)*i.aspectratio,l=(u*=(1+i.baseratio)/2)*c}o=Math.min(o,l/r.vTotal)}for(n=0;n")}if(a){var x=l.castOption(i,e.i,"texttemplate");if(x){var b=function(t){return{label:t.label,value:t.v,valueLabel:g.formatPieValue(t.v,n.separators),percent:t.v/r.vTotal,percentLabel:g.formatPiePercent(t.v/r.vTotal,n.separators),color:t.color,text:t.text,customdata:l.castOption(i,t.i,"customdata")}}(e),_=g.getFirstFilled(i.text,e.pts);(m(_)||""===_)&&(b.text=_),e.text=l.texttemplateString(x,b,t._fullLayout._d3locale,b,i._meta||{})}else e.text=""}}function R(t,e){var r=t.rotate*Math.PI/180,n=Math.cos(r),i=Math.sin(r),a=(e.left+e.right)/2,o=(e.top+e.bottom)/2;t.textX=a*n-o*i,t.textY=a*i+o*n,t.noCenter=!0}t.exports={plot:function(t,e){var r=t._context.staticPlot,a=t._fullLayout,h=a._size;d("pie",a),_(e,t),I(e,h);var v=l.makeTraceGroups(a._pielayer,e,"trace").each((function(e){var d=n.select(this),v=e[0],y=v.trace;!function(t){var e,r,n,i=t[0],a=i.r,o=i.trace,s=g.getRotationAngle(o.rotation),l=2*Math.PI/i.vTotal,u="px0",c="px1";if("counterclockwise"===o.direction){for(e=0;ei.vTotal/2?1:0,r.halfangle=Math.PI*Math.min(r.v/i.vTotal,.5),r.ring=1-o.hole,r.rInscribed=E(r,i))}(e),d.attr("stroke-linejoin","round"),d.each((function(){var m=n.select(this).selectAll("g.slice").data(e);m.enter().append("g").classed("slice",!0),m.exit().remove();var _=[[[],[]],[[],[]]],T=!1;m.each((function(i,o){if(i.hidden)n.select(this).selectAll("path,g").remove();else{i.pointNumber=i.i,i.curveNumber=y.index,_[i.pxmid[1]<0?0:1][i.pxmid[0]<0?0:1].push(i);var u=v.cx,c=v.cy,h=n.select(this),d=h.selectAll("path.surface").data([i]);if(d.enter().append("path").classed("surface",!0).style({"pointer-events":r?"none":"all"}),h.call(x,t,e),y.pull){var m=+g.castOption(y.pull,i.pts)||0;m>0&&(u+=m*i.pxmid[0],c+=m*i.pxmid[1])}i.cxFinal=u,i.cyFinal=c;var k=y.hole;if(i.v===v.vTotal){var A="M"+(u+i.px0[0])+","+(c+i.px0[1])+P(i.px0,i.pxmid,!0,1)+P(i.pxmid,i.px0,!0,1)+"Z";k?d.attr("d","M"+(u+k*i.px0[0])+","+(c+k*i.px0[1])+P(i.px0,i.pxmid,!1,k)+P(i.pxmid,i.px0,!1,k)+"Z"+A):d.attr("d",A)}else{var M=P(i.px0,i.px1,!0,1);if(k){var S=1-k;d.attr("d","M"+(u+k*i.px1[0])+","+(c+k*i.px1[1])+P(i.px1,i.px0,!1,k)+"l"+S*i.px0[0]+","+S*i.px0[1]+M+"Z")}else d.attr("d","M"+u+","+c+"l"+i.px0[0]+","+i.px0[1]+M+"Z")}z(t,i,v);var E=g.castOption(y.textposition,i.pts),C=h.selectAll("g.slicetext").data(i.text&&"none"!==E?[0]:[]);C.enter().append("g").classed("slicetext",!0),C.exit().remove(),C.each((function(){var r=l.ensureSingle(n.select(this),"text","",(function(t){t.attr("data-notex",1)})),h=l.ensureUniformFontSize(t,"outside"===E?function(t,e,r){return{color:g.castOption(t.outsidetextfont.color,e.pts)||g.castOption(t.textfont.color,e.pts)||r.color,family:g.castOption(t.outsidetextfont.family,e.pts)||g.castOption(t.textfont.family,e.pts)||r.family,size:g.castOption(t.outsidetextfont.size,e.pts)||g.castOption(t.textfont.size,e.pts)||r.size}}(y,i,a.font):b(y,i,a.font));r.text(i.text).attr({class:"slicetext",transform:"","text-anchor":"middle"}).call(s.font,h).call(f.convertToTspans,t);var d,m=s.bBox(r.node());if("outside"===E)d=L(m,i);else if(d=w(m,i,v),"auto"===E&&d.scale<1){var x=l.ensureUniformFontSize(t,y.outsidetextfont);r.call(s.font,x),d=L(m=s.bBox(r.node()),i)}var _=d.textPosAngle,k=void 0===_?i.pxmid:D(v.r,_);if(d.targetX=u+k[0]*d.rCenter+(d.x||0),d.targetY=c+k[1]*d.rCenter+(d.y||0),R(d,m),d.outside){var A=d.targetY;i.yLabelMin=A-m.height/2,i.yLabelMid=A,i.yLabelMax=A+m.height/2,i.labelExtraX=0,i.labelExtraY=0,T=!0}d.fontSize=h.size,p(y.type,d,a),e[o].transform=d,l.setTransormAndDisplay(r,d)}))}function P(t,e,r,n){var a=n*(e[0]-t[0]),o=n*(e[1]-t[1]);return"a"+n*v.r+","+n*v.r+" 0 "+i.largeArc+(r?" 1 ":" 0 ")+a+","+o}}));var k=n.select(this).selectAll("g.titletext").data(y.title.text?[0]:[]);if(k.enter().append("g").classed("titletext",!0),k.exit().remove(),k.each((function(){var e,r=l.ensureSingle(n.select(this),"text","",(function(t){t.attr("data-notex",1)})),i=y.title.text;y._meta&&(i=l.templateString(i,y._meta)),r.text(i).attr({class:"titletext",transform:"","text-anchor":"middle"}).call(s.font,y.title.font).call(f.convertToTspans,t),e="middle center"===y.title.position?function(t){var e=Math.sqrt(t.titleBox.width*t.titleBox.width+t.titleBox.height*t.titleBox.height);return{x:t.cx,y:t.cy,scale:t.trace.hole*t.r*2/e,tx:0,ty:-t.titleBox.height/2+t.trace.title.font.size}}(v):C(v,h),r.attr("transform",c(e.x,e.y)+u(Math.min(1,e.scale))+c(e.tx,e.ty))})),T&&function(t,e){var r,n,i,a,o,s,u,c,f,h,p,d,v;function y(t,e){return t.pxmid[1]-e.pxmid[1]}function m(t,e){return e.pxmid[1]-t.pxmid[1]}function x(t,r){r||(r={});var i,c,f,p,d=r.labelExtraY+(n?r.yLabelMax:r.yLabelMin),v=n?t.yLabelMin:t.yLabelMax,y=n?t.yLabelMax:t.yLabelMin,m=t.cyFinal+o(t.px0[1],t.px1[1]),x=d-v;if(x*u>0&&(t.labelExtraY=x),l.isArrayOrTypedArray(e.pull))for(c=0;c=(g.castOption(e.pull,f.pts)||0)||((t.pxmid[1]-f.pxmid[1])*u>0?(x=f.cyFinal+o(f.px0[1],f.px1[1])-v-t.labelExtraY)*u>0&&(t.labelExtraY+=x):(y+t.labelExtraY-m)*u>0&&(i=3*s*Math.abs(c-h.indexOf(t)),(p=f.cxFinal+a(f.px0[0],f.px1[0])+i-(t.cxFinal+t.pxmid[0])-t.labelExtraX)*s>0&&(t.labelExtraX+=p)))}for(n=0;n<2;n++)for(i=n?y:m,o=n?Math.max:Math.min,u=n?1:-1,r=0;r<2;r++){for(a=r?Math.max:Math.min,s=r?1:-1,(c=t[n][r]).sort(i),f=t[1-n][r],h=f.concat(c),d=[],p=0;pMath.abs(f)?s+="l"+f*t.pxmid[0]/t.pxmid[1]+","+f+"H"+(a+t.labelExtraX+u):s+="l"+t.labelExtraX+","+c+"v"+(f-c)+"h"+u}else s+="V"+(t.yLabelMid+t.labelExtraY)+"h"+u;l.ensureSingle(r,"path","textline").call(o.stroke,e.outsidetextfont.color).attr({"stroke-width":Math.min(2,e.outsidetextfont.size/8),d:s,fill:"none"})}else r.select("path.textline").remove()}))}(m,y),T&&y.automargin){var A=s.bBox(d.node()),M=y.domain,S=h.w*(M.x[1]-M.x[0]),E=h.h*(M.y[1]-M.y[0]),P=(.5*S-v.r)/h.w,O=(.5*E-v.r)/h.h;i.autoMargin(t,"pie."+y.uid+".automargin",{xl:M.x[0]-P,xr:M.x[1]+P,yb:M.y[0]-O,yt:M.y[1]+O,l:Math.max(v.cx-v.r-A.left,0),r:Math.max(A.right-(v.cx+v.r),0),b:Math.max(A.bottom-(v.cy+v.r),0),t:Math.max(v.cy-v.r-A.top,0),pad:5})}}))}));setTimeout((function(){v.selectAll("tspan").each((function(){var t=n.select(this);t.attr("dy")&&t.attr("dy",t.attr("dy"))}))}),0)},formatSliceLabel:z,transformInsideText:w,determineInsideTextFont:b,positionTitleOutside:C,prerenderTitles:_,layoutAreas:I,attachFxHandlers:x,computeTransform:R}},22152:function(t,e,r){"use strict";var n=r(33428),i=r(10528),a=r(82744).resizeText;t.exports=function(t){var e=t._fullLayout._pielayer.selectAll(".trace");a(t,e,"pie"),e.each((function(e){var r=e[0].trace,a=n.select(this);a.style({opacity:r.opacity}),a.selectAll("path.surface").each((function(e){n.select(this).call(i,e,r,t)}))}))}},10528:function(t,e,r){"use strict";var n=r(76308),i=r(69656).castOption,a=r(21552);t.exports=function(t,e,r,o){var s=r.marker.line,l=i(s.color,e.pts)||n.defaultLine,u=i(s.width,e.pts)||0;t.call(a,e,r,o).style("stroke-width",u).call(n.stroke,l)}},35484:function(t,e,r){"use strict";var n=r(52904);t.exports={x:n.x,y:n.y,xy:{valType:"data_array",editType:"calc"},indices:{valType:"data_array",editType:"calc"},xbounds:{valType:"data_array",editType:"calc"},ybounds:{valType:"data_array",editType:"calc"},text:n.text,marker:{color:{valType:"color",arrayOk:!1,editType:"calc"},opacity:{valType:"number",min:0,max:1,dflt:1,arrayOk:!1,editType:"calc"},blend:{valType:"boolean",dflt:null,editType:"calc"},sizemin:{valType:"number",min:.1,max:2,dflt:.5,editType:"calc"},sizemax:{valType:"number",min:.1,dflt:20,editType:"calc"},border:{color:{valType:"color",arrayOk:!1,editType:"calc"},arearatio:{valType:"number",min:0,max:1,dflt:0,editType:"calc"},editType:"calc"},editType:"calc"},transforms:void 0}},11072:function(t,e,r){"use strict";var n=r(67792).gl_pointcloud2d,i=r(3400).isArrayOrTypedArray,a=r(43080),o=r(19280).findExtremes,s=r(44928);function l(t,e){this.scene=t,this.uid=e,this.type="pointcloud",this.pickXData=[],this.pickYData=[],this.xData=[],this.yData=[],this.textLabels=[],this.color="rgb(0, 0, 0)",this.name="",this.hoverinfo="all",this.idToIndex=new Int32Array(0),this.bounds=[0,0,0,0],this.pointcloudOptions={positions:new Float32Array(0),idToIndex:this.idToIndex,sizemin:.5,sizemax:12,color:[0,0,0,1],areaRatio:1,borderColor:[0,0,0,1]},this.pointcloud=n(t.glplot,this.pointcloudOptions),this.pointcloud._trace=this}var u=l.prototype;u.handlePick=function(t){var e=this.idToIndex[t.pointId];return{trace:this,dataCoord:t.dataCoord,traceCoord:this.pickXYData?[this.pickXYData[2*e],this.pickXYData[2*e+1]]:[this.pickXData[e],this.pickYData[e]],textLabel:i(this.textLabels)?this.textLabels[e]:this.textLabels,color:this.color,name:this.name,pointIndex:e,hoverinfo:this.hoverinfo}},u.update=function(t){this.index=t.index,this.textLabels=t.text,this.name=t.name,this.hoverinfo=t.hoverinfo,this.bounds=[1/0,1/0,-1/0,-1/0],this.updateFast(t),this.color=s(t,{})},u.updateFast=function(t){var e,r,n,i,s,l,u=this.xData=this.pickXData=t.x,c=this.yData=this.pickYData=t.y,f=this.pickXYData=t.xy,h=t.xbounds&&t.ybounds,p=t.indices,d=this.bounds;if(f){if(n=f,e=f.length>>>1,h)d[0]=t.xbounds[0],d[2]=t.xbounds[1],d[1]=t.ybounds[0],d[3]=t.ybounds[1];else for(l=0;ld[2]&&(d[2]=i),sd[3]&&(d[3]=s);if(p)r=p;else for(r=new Int32Array(e),l=0;ld[2]&&(d[2]=i),sd[3]&&(d[3]=s);this.idToIndex=r,this.pointcloudOptions.idToIndex=r,this.pointcloudOptions.positions=n;var 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s(t,e,r,n){this.type="scattermapbox",this.subplot=t,this.uid=e,this.clusterEnabled=r,this.isHidden=n,this.sourceIds={fill:"source-"+e+"-fill",line:"source-"+e+"-line",circle:"source-"+e+"-circle",symbol:"source-"+e+"-symbol",cluster:"source-"+e+"-circle",clusterCount:"source-"+e+"-circle"},this.layerIds={fill:a+e+"-fill",line:a+e+"-line",circle:a+e+"-circle",symbol:a+e+"-symbol",cluster:a+e+"-cluster",clusterCount:a+e+"-cluster-count"},this.below=null}var l=s.prototype;l.addSource=function(t,e,r){var i={type:"geojson",data:e.geojson};r&&r.enabled&&n.extendFlat(i,{cluster:!0,clusterMaxZoom:r.maxzoom});var a=this.subplot.map.getSource(this.sourceIds[t]);a?a.setData(e.geojson):this.subplot.map.addSource(this.sourceIds[t],i)},l.setSourceData=function(t,e){this.subplot.map.getSource(this.sourceIds[t]).setData(e.geojson)},l.addLayer=function(t,e,r){var n={type:e.type,id:this.layerIds[t],source:this.sourceIds[t],layout:e.layout,paint:e.paint};e.filter&&(n.filter=e.filter);for(var i,a=this.layerIds[t],o=this.subplot.getMapLayers(),s=0;s=0;r--){var i=e[r];n.removeLayer(c.layerIds[i])}t||n.removeSource(c.sourceIds.circle)}(t):function(t){for(var e=o.nonCluster,r=e.length-1;r>=0;r--){var i=e[r];n.removeLayer(c.layerIds[i]),t||n.removeSource(c.sourceIds[i])}}(t)}function h(t){l?function(t){t||c.addSource("circle",a.circle,e.cluster);for(var r=o.cluster,n=0;n=0;r--){var n=e[r];t.removeLayer(this.layerIds[n]),t.removeSource(this.sourceIds[n])}},t.exports=function(t,e){var r,n,a,l=e[0].trace,u=l.cluster&&l.cluster.enabled,c=!0!==l.visible,f=new s(t,l.uid,u,c),h=i(t.gd,e),p=f.below=t.belowLookup["trace-"+l.uid];if(u)for(f.addSource("circle",h.circle,l.cluster),r=0;r")}}t.exports={hoverPoints:function(t,e,r,a){var o=n(t,e,r,a);if(o&&!1!==o[0].index){var s=o[0];if(void 0===s.index)return o;var l=t.subplot,u=s.cd[s.index],c=s.trace;if(l.isPtInside(u))return s.xLabelVal=void 0,s.yLabelVal=void 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n=r(47128);t.exports=function(t,e){e.surfacecolor?n(t,e,{vals:e.surfacecolor,containerStr:"",cLetter:"c"}):n(t,e,{vals:e.z,containerStr:"",cLetter:"c"})}},79164:function(t,e,r){"use strict";var n=r(67792).gl_surface3d,i=r(67792).ndarray,a=r(67792).ndarray_linear_interpolate.d2,o=r(70448),s=r(11240),l=r(3400).isArrayOrTypedArray,u=r(33040).parseColorScale,c=r(43080),f=r(8932).extractOpts;function h(t,e,r){this.scene=t,this.uid=r,this.surface=e,this.data=null,this.showContour=[!1,!1,!1],this.contourStart=[null,null,null],this.contourEnd=[null,null,null],this.contourSize=[0,0,0],this.minValues=[1/0,1/0,1/0],this.maxValues=[-1/0,-1/0,-1/0],this.dataScaleX=1,this.dataScaleY=1,this.refineData=!0,this.objectOffset=[0,0,0]}var p=h.prototype;p.getXat=function(t,e,r,n){var i=l(this.data.x)?l(this.data.x[0])?this.data.x[e][t]:this.data.x[t]:t;return void 0===r?i:n.d2l(i,0,r)},p.getYat=function(t,e,r,n){var i=l(this.data.y)?l(this.data.y[0])?this.data.y[e][t]:this.data.y[e]:e;return void 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r=c(e.cells.values),o=function(t){return t.slice(e.header.values.length,t.length)},v=c(e.header.values);v.length&&!v[0].length&&(v[0]=[""],v=c(v));var g=v.concat(o(r).map((function(){return f((v[0]||[""]).length)}))),y=e.domain,m=Math.floor(t._fullLayout._size.w*(y.x[1]-y.x[0])),x=Math.floor(t._fullLayout._size.h*(y.y[1]-y.y[0])),b=e.header.values.length?g[0].map((function(){return e.header.height})):[n.emptyHeaderHeight],_=r.length?r[0].map((function(){return e.cells.height})):[],w=b.reduce(u,0),T=d(_,x-w+n.uplift),k=p(d(b,w),[]),A=p(T,k),M={},S=e._fullInput.columnorder;s(S)&&(S=Array.from(S)),S=S.concat(o(r.map((function(t,e){return e}))));var E=g.map((function(t,r){var n=s(e.columnwidth)?e.columnwidth[Math.min(r,e.columnwidth.length-1)]:e.columnwidth;return a(n)?Number(n):1})),L=E.reduce(u,0);E=E.map((function(t){return t/L*m}));var C=Math.max(l(e.header.line.width),l(e.cells.line.width)),P={key:e.uid+t._context.staticPlot,translateX:y.x[0]*t._fullLayout._size.w,translateY:t._fullLayout._size.h*(1-y.y[1]),size:t._fullLayout._size,width:m,maxLineWidth:C,height:x,columnOrder:S,groupHeight:x,rowBlocks:A,headerRowBlocks:k,scrollY:0,cells:i({},e.cells,{values:r}),headerCells:i({},e.header,{values:g}),gdColumns:g.map((function(t){return t[0]})),gdColumnsOriginalOrder:g.map((function(t){return t[0]})),prevPages:[0,0],scrollbarState:{scrollbarScrollInProgress:!1},columns:g.map((function(t,e){var r=M[t];return M[t]=(r||0)+1,{key:t+"__"+M[t],label:t,specIndex:e,xIndex:S[e],xScale:h,x:void 0,calcdata:void 0,columnWidth:E[e]}}))};return P.columns.forEach((function(t){t.calcdata=P,t.x=h(t)})),P}},53056:function(t,e,r){"use strict";var n=r(92880).extendFlat;e.splitToPanels=function(t){var e=[0,0],r=n({},t,{key:"header",type:"header",page:0,prevPages:e,currentRepaint:[null,null],dragHandle:!0,values:t.calcdata.headerCells.values[t.specIndex],rowBlocks:t.calcdata.headerRowBlocks,calcdata:n({},t.calcdata,{cells:t.calcdata.headerCells})});return[n({},t,{key:"cells1",type:"cells",page:0,prevPages:e,currentRepaint:[null,null],dragHandle:!1,values:t.calcdata.cells.values[t.specIndex],rowBlocks:t.calcdata.rowBlocks}),n({},t,{key:"cells2",type:"cells",page:1,prevPages:e,currentRepaint:[null,null],dragHandle:!1,values:t.calcdata.cells.values[t.specIndex],rowBlocks:t.calcdata.rowBlocks}),r]},e.splitToCells=function(t){var e=function(t){var e=t.rowBlocks[t.page],r=e?e.rows[0].rowIndex:0;return[r,e?r+e.rows.length:0]}(t);return(t.values||[]).slice(e[0],e[1]).map((function(r,n){return{keyWithinBlock:n+("string"==typeof r&&r.match(/[<$&> 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f,h,p=c?"":k(t.calcdata.cells.prefix,e,r)||"",d=c?"":k(t.calcdata.cells.suffix,e,r)||"",v=c?null:k(t.calcdata.cells.format,e,r)||null,g=p+(v?o(v)(t.value):t.value)+d;if(t.wrappingNeeded=!t.wrapped&&!l&&!c&&(f=T(g)),t.cellHeightMayIncrease=s||c||t.mayHaveMarkup||(void 0===f?T(g):f),t.needsConvertToTspans=t.mayHaveMarkup||t.wrappingNeeded||t.latex,t.wrappingNeeded){var y=(" "===n.wrapSplitCharacter?g.replace(/i&&n.push(a),i+=l}return n}(i,l,s);1===u.length&&(u[0]===i.length-1?u.unshift(u[0]-1):u.push(u[0]+1)),u[0]%2&&u.reverse(),e.each((function(t,e){t.page=u[e],t.scrollY=l})),e.attr("transform",(function(t){var e=R(t.rowBlocks,t.page)-t.scrollY;return f(0,e)})),t&&(P(t,r,e,u,n.prevPages,n,0),P(t,r,e,u,n.prevPages,n,1),b(r,t))}}function C(t,e,r,a){return function(o){var s=o.calcdata?o.calcdata:o,l=e.filter((function(t){return s.key===t.key})),u=r||s.scrollbarState.dragMultiplier,c=s.scrollY;s.scrollY=void 0===a?s.scrollY+u*i.event.dy:a;var 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t&&t>=0);var e=0|Math.ceil(t/26),r=t%26;this._expand(e),r>0&&e--;for(var i=0;i0&&(this.words[i]=~this.words[i]&67108863>>26-r),this.strip()},a.prototype.notn=function(t){return this.clone().inotn(t)},a.prototype.setn=function(t,e){n("number"==typeof t&&t>=0);var r=t/26|0,i=t%26;return this._expand(r+1),this.words[r]=e?this.words[r]|1<t.length?(r=this,n=t):(r=t,n=this);for(var i=0,a=0;a>>26;for(;0!==i&&a>>26;if(this.length=r.length,0!==i)this.words[this.length]=i,this.length++;else if(r!==this)for(;at.length?this.clone().iadd(t):t.clone().iadd(this)},a.prototype.isub=function(t){if(0!==t.negative){t.negative=0;var e=this.iadd(t);return t.negative=1,e._normSign()}if(0!==this.negative)return this.negative=0,this.iadd(t),this.negative=1,this._normSign();var r,n,i=this.cmp(t);if(0===i)return this.negative=0,this.length=1,this.words[0]=0,this;i>0?(r=this,n=t):(r=t,n=this);for(var 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yt=(u+(n=n+Math.imul(f,H)|0)|0)+((8191&(i=(i=i+Math.imul(f,G)|0)+Math.imul(h,H)|0))<<13)|0;u=((a=a+Math.imul(h,G)|0)+(i>>>13)|0)+(yt>>>26)|0,yt&=67108863,n=Math.imul(y,U),i=(i=Math.imul(y,V))+Math.imul(m,U)|0,a=Math.imul(m,V),n=n+Math.imul(d,H)|0,i=(i=i+Math.imul(d,G)|0)+Math.imul(v,H)|0,a=a+Math.imul(v,G)|0;var mt=(u+(n=n+Math.imul(f,Y)|0)|0)+((8191&(i=(i=i+Math.imul(f,X)|0)+Math.imul(h,Y)|0))<<13)|0;u=((a=a+Math.imul(h,X)|0)+(i>>>13)|0)+(mt>>>26)|0,mt&=67108863,n=Math.imul(b,U),i=(i=Math.imul(b,V))+Math.imul(_,U)|0,a=Math.imul(_,V),n=n+Math.imul(y,H)|0,i=(i=i+Math.imul(y,G)|0)+Math.imul(m,H)|0,a=a+Math.imul(m,G)|0,n=n+Math.imul(d,Y)|0,i=(i=i+Math.imul(d,X)|0)+Math.imul(v,Y)|0,a=a+Math.imul(v,X)|0;var xt=(u+(n=n+Math.imul(f,K)|0)|0)+((8191&(i=(i=i+Math.imul(f,J)|0)+Math.imul(h,K)|0))<<13)|0;u=((a=a+Math.imul(h,J)|0)+(i>>>13)|0)+(xt>>>26)|0,xt&=67108863,n=Math.imul(T,U),i=(i=Math.imul(T,V))+Math.imul(k,U)|0,a=Math.imul(k,V),n=n+Math.imul(b,H)|0,i=(i=i+Math.imul(b,G)|0)+Math.imul(_,H)|0,a=a+Math.imul(_,G)|0,n=n+Math.imul(y,Y)|0,i=(i=i+Math.imul(y,X)|0)+Math.imul(m,Y)|0,a=a+Math.imul(m,X)|0,n=n+Math.imul(d,K)|0,i=(i=i+Math.imul(d,J)|0)+Math.imul(v,K)|0,a=a+Math.imul(v,J)|0;var bt=(u+(n=n+Math.imul(f,Q)|0)|0)+((8191&(i=(i=i+Math.imul(f,tt)|0)+Math.imul(h,Q)|0))<<13)|0;u=((a=a+Math.imul(h,tt)|0)+(i>>>13)|0)+(bt>>>26)|0,bt&=67108863,n=Math.imul(M,U),i=(i=Math.imul(M,V))+Math.imul(S,U)|0,a=Math.imul(S,V),n=n+Math.imul(T,H)|0,i=(i=i+Math.imul(T,G)|0)+Math.imul(k,H)|0,a=a+Math.imul(k,G)|0,n=n+Math.imul(b,Y)|0,i=(i=i+Math.imul(b,X)|0)+Math.imul(_,Y)|0,a=a+Math.imul(_,X)|0,n=n+Math.imul(y,K)|0,i=(i=i+Math.imul(y,J)|0)+Math.imul(m,K)|0,a=a+Math.imul(m,J)|0,n=n+Math.imul(d,Q)|0,i=(i=i+Math.imul(d,tt)|0)+Math.imul(v,Q)|0,a=a+Math.imul(v,tt)|0;var _t=(u+(n=n+Math.imul(f,rt)|0)|0)+((8191&(i=(i=i+Math.imul(f,nt)|0)+Math.imul(h,rt)|0))<<13)|0;u=((a=a+Math.imul(h,nt)|0)+(i>>>13)|0)+(_t>>>26)|0,_t&=67108863,n=Math.imul(L,U),i=(i=Math.imul(L,V))+Math.imul(C,U)|0,a=Math.imul(C,V),n=n+Math.imul(M,H)|0,i=(i=i+Math.imul(M,G)|0)+Math.imul(S,H)|0,a=a+Math.imul(S,G)|0,n=n+Math.imul(T,Y)|0,i=(i=i+Math.imul(T,X)|0)+Math.imul(k,Y)|0,a=a+Math.imul(k,X)|0,n=n+Math.imul(b,K)|0,i=(i=i+Math.imul(b,J)|0)+Math.imul(_,K)|0,a=a+Math.imul(_,J)|0,n=n+Math.imul(y,Q)|0,i=(i=i+Math.imul(y,tt)|0)+Math.imul(m,Q)|0,a=a+Math.imul(m,tt)|0,n=n+Math.imul(d,rt)|0,i=(i=i+Math.imul(d,nt)|0)+Math.imul(v,rt)|0,a=a+Math.imul(v,nt)|0;var wt=(u+(n=n+Math.imul(f,at)|0)|0)+((8191&(i=(i=i+Math.imul(f,ot)|0)+Math.imul(h,at)|0))<<13)|0;u=((a=a+Math.imul(h,ot)|0)+(i>>>13)|0)+(wt>>>26)|0,wt&=67108863,n=Math.imul(O,U),i=(i=Math.imul(O,V))+Math.imul(I,U)|0,a=Math.imul(I,V),n=n+Math.imul(L,H)|0,i=(i=i+Math.imul(L,G)|0)+Math.imul(C,H)|0,a=a+Math.imul(C,G)|0,n=n+Math.imul(M,Y)|0,i=(i=i+Math.imul(M,X)|0)+Math.imul(S,Y)|0,a=a+Math.imul(S,X)|0,n=n+Math.imul(T,K)|0,i=(i=i+Math.imul(T,J)|0)+Math.imul(k,K)|0,a=a+Math.imul(k,J)|0,n=n+Math.imul(b,Q)|0,i=(i=i+Math.imul(b,tt)|0)+Math.imul(_,Q)|0,a=a+Math.imul(_,tt)|0,n=n+Math.imul(y,rt)|0,i=(i=i+Math.imul(y,nt)|0)+Math.imul(m,rt)|0,a=a+Math.imul(m,nt)|0,n=n+Math.imul(d,at)|0,i=(i=i+Math.imul(d,ot)|0)+Math.imul(v,at)|0,a=a+Math.imul(v,ot)|0;var Tt=(u+(n=n+Math.imul(f,lt)|0)|0)+((8191&(i=(i=i+Math.imul(f,ut)|0)+Math.imul(h,lt)|0))<<13)|0;u=((a=a+Math.imul(h,ut)|0)+(i>>>13)|0)+(Tt>>>26)|0,Tt&=67108863,n=Math.imul(z,U),i=(i=Math.imul(z,V))+Math.imul(R,U)|0,a=Math.imul(R,V),n=n+Math.imul(O,H)|0,i=(i=i+Math.imul(O,G)|0)+Math.imul(I,H)|0,a=a+Math.imul(I,G)|0,n=n+Math.imul(L,Y)|0,i=(i=i+Math.imul(L,X)|0)+Math.imul(C,Y)|0,a=a+Math.imul(C,X)|0,n=n+Math.imul(M,K)|0,i=(i=i+Math.imul(M,J)|0)+Math.imul(S,K)|0,a=a+Math.imul(S,J)|0,n=n+Math.imul(T,Q)|0,i=(i=i+Math.imul(T,tt)|0)+Math.imul(k,Q)|0,a=a+Math.imul(k,tt)|0,n=n+Math.imul(b,rt)|0,i=(i=i+Math.imul(b,nt)|0)+Math.imul(_,rt)|0,a=a+Math.imul(_,nt)|0,n=n+Math.imul(y,at)|0,i=(i=i+Math.imul(y,ot)|0)+Math.imul(m,at)|0,a=a+Math.imul(m,ot)|0,n=n+Math.imul(d,lt)|0,i=(i=i+Math.imul(d,ut)|0)+Math.imul(v,lt)|0,a=a+Math.imul(v,ut)|0;var kt=(u+(n=n+Math.imul(f,ft)|0)|0)+((8191&(i=(i=i+Math.imul(f,ht)|0)+Math.imul(h,ft)|0))<<13)|0;u=((a=a+Math.imul(h,ht)|0)+(i>>>13)|0)+(kt>>>26)|0,kt&=67108863,n=Math.imul(B,U),i=(i=Math.imul(B,V))+Math.imul(N,U)|0,a=Math.imul(N,V),n=n+Math.imul(z,H)|0,i=(i=i+Math.imul(z,G)|0)+Math.imul(R,H)|0,a=a+Math.imul(R,G)|0,n=n+Math.imul(O,Y)|0,i=(i=i+Math.imul(O,X)|0)+Math.imul(I,Y)|0,a=a+Math.imul(I,X)|0,n=n+Math.imul(L,K)|0,i=(i=i+Math.imul(L,J)|0)+Math.imul(C,K)|0,a=a+Math.imul(C,J)|0,n=n+Math.imul(M,Q)|0,i=(i=i+Math.imul(M,tt)|0)+Math.imul(S,Q)|0,a=a+Math.imul(S,tt)|0,n=n+Math.imul(T,rt)|0,i=(i=i+Math.imul(T,nt)|0)+Math.imul(k,rt)|0,a=a+Math.imul(k,nt)|0,n=n+Math.imul(b,at)|0,i=(i=i+Math.imul(b,ot)|0)+Math.imul(_,at)|0,a=a+Math.imul(_,ot)|0,n=n+Math.imul(y,lt)|0,i=(i=i+Math.imul(y,ut)|0)+Math.imul(m,lt)|0,a=a+Math.imul(m,ut)|0,n=n+Math.imul(d,ft)|0,i=(i=i+Math.imul(d,ht)|0)+Math.imul(v,ft)|0,a=a+Math.imul(v,ht)|0;var At=(u+(n=n+Math.imul(f,dt)|0)|0)+((8191&(i=(i=i+Math.imul(f,vt)|0)+Math.imul(h,dt)|0))<<13)|0;u=((a=a+Math.imul(h,vt)|0)+(i>>>13)|0)+(At>>>26)|0,At&=67108863,n=Math.imul(B,H),i=(i=Math.imul(B,G))+Math.imul(N,H)|0,a=Math.imul(N,G),n=n+Math.imul(z,Y)|0,i=(i=i+Math.imul(z,X)|0)+Math.imul(R,Y)|0,a=a+Math.imul(R,X)|0,n=n+Math.imul(O,K)|0,i=(i=i+Math.imul(O,J)|0)+Math.imul(I,K)|0,a=a+Math.imul(I,J)|0,n=n+Math.imul(L,Q)|0,i=(i=i+Math.imul(L,tt)|0)+Math.imul(C,Q)|0,a=a+Math.imul(C,tt)|0,n=n+Math.imul(M,rt)|0,i=(i=i+Math.imul(M,nt)|0)+Math.imul(S,rt)|0,a=a+Math.imul(S,nt)|0,n=n+Math.imul(T,at)|0,i=(i=i+Math.imul(T,ot)|0)+Math.imul(k,at)|0,a=a+Math.imul(k,ot)|0,n=n+Math.imul(b,lt)|0,i=(i=i+Math.imul(b,ut)|0)+Math.imul(_,lt)|0,a=a+Math.imul(_,ut)|0,n=n+Math.imul(y,ft)|0,i=(i=i+Math.imul(y,ht)|0)+Math.imul(m,ft)|0,a=a+Math.imul(m,ht)|0;var Mt=(u+(n=n+Math.imul(d,dt)|0)|0)+((8191&(i=(i=i+Math.imul(d,vt)|0)+Math.imul(v,dt)|0))<<13)|0;u=((a=a+Math.imul(v,vt)|0)+(i>>>13)|0)+(Mt>>>26)|0,Mt&=67108863,n=Math.imul(B,Y),i=(i=Math.imul(B,X))+Math.imul(N,Y)|0,a=Math.imul(N,X),n=n+Math.imul(z,K)|0,i=(i=i+Math.imul(z,J)|0)+Math.imul(R,K)|0,a=a+Math.imul(R,J)|0,n=n+Math.imul(O,Q)|0,i=(i=i+Math.imul(O,tt)|0)+Math.imul(I,Q)|0,a=a+Math.imul(I,tt)|0,n=n+Math.imul(L,rt)|0,i=(i=i+Math.imul(L,nt)|0)+Math.imul(C,rt)|0,a=a+Math.imul(C,nt)|0,n=n+Math.imul(M,at)|0,i=(i=i+Math.imul(M,ot)|0)+Math.imul(S,at)|0,a=a+Math.imul(S,ot)|0,n=n+Math.imul(T,lt)|0,i=(i=i+Math.imul(T,ut)|0)+Math.imul(k,lt)|0,a=a+Math.imul(k,ut)|0,n=n+Math.imul(b,ft)|0,i=(i=i+Math.imul(b,ht)|0)+Math.imul(_,ft)|0,a=a+Math.imul(_,ht)|0;var St=(u+(n=n+Math.imul(y,dt)|0)|0)+((8191&(i=(i=i+Math.imul(y,vt)|0)+Math.imul(m,dt)|0))<<13)|0;u=((a=a+Math.imul(m,vt)|0)+(i>>>13)|0)+(St>>>26)|0,St&=67108863,n=Math.imul(B,K),i=(i=Math.imul(B,J))+Math.imul(N,K)|0,a=Math.imul(N,J),n=n+Math.imul(z,Q)|0,i=(i=i+Math.imul(z,tt)|0)+Math.imul(R,Q)|0,a=a+Math.imul(R,tt)|0,n=n+Math.imul(O,rt)|0,i=(i=i+Math.imul(O,nt)|0)+Math.imul(I,rt)|0,a=a+Math.imul(I,nt)|0,n=n+Math.imul(L,at)|0,i=(i=i+Math.imul(L,ot)|0)+Math.imul(C,at)|0,a=a+Math.imul(C,ot)|0,n=n+Math.imul(M,lt)|0,i=(i=i+Math.imul(M,ut)|0)+Math.imul(S,lt)|0,a=a+Math.imul(S,ut)|0,n=n+Math.imul(T,ft)|0,i=(i=i+Math.imul(T,ht)|0)+Math.imul(k,ft)|0,a=a+Math.imul(k,ht)|0;var Et=(u+(n=n+Math.imul(b,dt)|0)|0)+((8191&(i=(i=i+Math.imul(b,vt)|0)+Math.imul(_,dt)|0))<<13)|0;u=((a=a+Math.imul(_,vt)|0)+(i>>>13)|0)+(Et>>>26)|0,Et&=67108863,n=Math.imul(B,Q),i=(i=Math.imul(B,tt))+Math.imul(N,Q)|0,a=Math.imul(N,tt),n=n+Math.imul(z,rt)|0,i=(i=i+Math.imul(z,nt)|0)+Math.imul(R,rt)|0,a=a+Math.imul(R,nt)|0,n=n+Math.imul(O,at)|0,i=(i=i+Math.imul(O,ot)|0)+Math.imul(I,at)|0,a=a+Math.imul(I,ot)|0,n=n+Math.imul(L,lt)|0,i=(i=i+Math.imul(L,ut)|0)+Math.imul(C,lt)|0,a=a+Math.imul(C,ut)|0,n=n+Math.imul(M,ft)|0,i=(i=i+Math.imul(M,ht)|0)+Math.imul(S,ft)|0,a=a+Math.imul(S,ht)|0;var Lt=(u+(n=n+Math.imul(T,dt)|0)|0)+((8191&(i=(i=i+Math.imul(T,vt)|0)+Math.imul(k,dt)|0))<<13)|0;u=((a=a+Math.imul(k,vt)|0)+(i>>>13)|0)+(Lt>>>26)|0,Lt&=67108863,n=Math.imul(B,rt),i=(i=Math.imul(B,nt))+Math.imul(N,rt)|0,a=Math.imul(N,nt),n=n+Math.imul(z,at)|0,i=(i=i+Math.imul(z,ot)|0)+Math.imul(R,at)|0,a=a+Math.imul(R,ot)|0,n=n+Math.imul(O,lt)|0,i=(i=i+Math.imul(O,ut)|0)+Math.imul(I,lt)|0,a=a+Math.imul(I,ut)|0,n=n+Math.imul(L,ft)|0,i=(i=i+Math.imul(L,ht)|0)+Math.imul(C,ft)|0,a=a+Math.imul(C,ht)|0;var Ct=(u+(n=n+Math.imul(M,dt)|0)|0)+((8191&(i=(i=i+Math.imul(M,vt)|0)+Math.imul(S,dt)|0))<<13)|0;u=((a=a+Math.imul(S,vt)|0)+(i>>>13)|0)+(Ct>>>26)|0,Ct&=67108863,n=Math.imul(B,at),i=(i=Math.imul(B,ot))+Math.imul(N,at)|0,a=Math.imul(N,ot),n=n+Math.imul(z,lt)|0,i=(i=i+Math.imul(z,ut)|0)+Math.imul(R,lt)|0,a=a+Math.imul(R,ut)|0,n=n+Math.imul(O,ft)|0,i=(i=i+Math.imul(O,ht)|0)+Math.imul(I,ft)|0,a=a+Math.imul(I,ht)|0;var Pt=(u+(n=n+Math.imul(L,dt)|0)|0)+((8191&(i=(i=i+Math.imul(L,vt)|0)+Math.imul(C,dt)|0))<<13)|0;u=((a=a+Math.imul(C,vt)|0)+(i>>>13)|0)+(Pt>>>26)|0,Pt&=67108863,n=Math.imul(B,lt),i=(i=Math.imul(B,ut))+Math.imul(N,lt)|0,a=Math.imul(N,ut),n=n+Math.imul(z,ft)|0,i=(i=i+Math.imul(z,ht)|0)+Math.imul(R,ft)|0,a=a+Math.imul(R,ht)|0;var Ot=(u+(n=n+Math.imul(O,dt)|0)|0)+((8191&(i=(i=i+Math.imul(O,vt)|0)+Math.imul(I,dt)|0))<<13)|0;u=((a=a+Math.imul(I,vt)|0)+(i>>>13)|0)+(Ot>>>26)|0,Ot&=67108863,n=Math.imul(B,ft),i=(i=Math.imul(B,ht))+Math.imul(N,ft)|0,a=Math.imul(N,ht);var It=(u+(n=n+Math.imul(z,dt)|0)|0)+((8191&(i=(i=i+Math.imul(z,vt)|0)+Math.imul(R,dt)|0))<<13)|0;u=((a=a+Math.imul(R,vt)|0)+(i>>>13)|0)+(It>>>26)|0,It&=67108863;var Dt=(u+(n=Math.imul(B,dt))|0)+((8191&(i=(i=Math.imul(B,vt))+Math.imul(N,dt)|0))<<13)|0;return u=((a=Math.imul(N,vt))+(i>>>13)|0)+(Dt>>>26)|0,Dt&=67108863,l[0]=gt,l[1]=yt,l[2]=mt,l[3]=xt,l[4]=bt,l[5]=_t,l[6]=wt,l[7]=Tt,l[8]=kt,l[9]=At,l[10]=Mt,l[11]=St,l[12]=Et,l[13]=Lt,l[14]=Ct,l[15]=Pt,l[16]=Ot,l[17]=It,l[18]=Dt,0!==u&&(l[19]=u,r.length++),r};function v(t,e,r){return(new g).mulp(t,e,r)}function g(t,e){this.x=t,this.y=e}Math.imul||(d=p),a.prototype.mulTo=function(t,e){var r,n=this.length+t.length;return r=10===this.length&&10===t.length?d(this,t,e):n<63?p(this,t,e):n<1024?function(t,e,r){r.negative=e.negative^t.negative,r.length=t.length+e.length;for(var n=0,i=0,a=0;a>>26)|0)>>>26,o&=67108863}r.words[a]=s,n=o,o=i}return 0!==n?r.words[a]=n:r.length--,r.strip()}(this,t,e):v(this,t,e),r},g.prototype.makeRBT=function(t){for(var e=new Array(t),r=a.prototype._countBits(t)-1,n=0;n>=1;return n},g.prototype.permute=function(t,e,r,n,i,a){for(var o=0;o>>=1)i++;return 1<>>=13,r[2*o+1]=8191&a,a>>>=13;for(o=2*e;o>=26,e+=i/67108864|0,e+=a>>>26,this.words[r]=67108863&a}return 0!==e&&(this.words[r]=e,this.length++),this},a.prototype.muln=function(t){return this.clone().imuln(t)},a.prototype.sqr=function(){return this.mul(this)},a.prototype.isqr=function(){return this.imul(this.clone())},a.prototype.pow=function(t){var e=function(t){for(var e=new Array(t.bitLength()),r=0;r>>i}return e}(t);if(0===e.length)return new a(1);for(var r=this,n=0;n=0);var e,r=t%26,i=(t-r)/26,a=67108863>>>26-r<<26-r;if(0!==r){var o=0;for(e=0;e>>26-r}o&&(this.words[e]=o,this.length++)}if(0!==i){for(e=this.length-1;e>=0;e--)this.words[e+i]=this.words[e];for(e=0;e=0),i=e?(e-e%26)/26:0;var a=t%26,o=Math.min((t-a)/26,this.length),s=67108863^67108863>>>a<o)for(this.length-=o,u=0;u=0&&(0!==c||u>=i);u--){var f=0|this.words[u];this.words[u]=c<<26-a|f>>>a,c=f&s}return l&&0!==c&&(l.words[l.length++]=c),0===this.length&&(this.words[0]=0,this.length=1),this.strip()},a.prototype.ishrn=function(t,e,r){return n(0===this.negative),this.iushrn(t,e,r)},a.prototype.shln=function(t){return this.clone().ishln(t)},a.prototype.ushln=function(t){return this.clone().iushln(t)},a.prototype.shrn=function(t){return this.clone().ishrn(t)},a.prototype.ushrn=function(t){return this.clone().iushrn(t)},a.prototype.testn=function(t){n("number"==typeof t&&t>=0);var e=t%26,r=(t-e)/26,i=1<=0);var e=t%26,r=(t-e)/26;if(n(0===this.negative,"imaskn works only with positive numbers"),this.length<=r)return this;if(0!==e&&r++,this.length=Math.min(r,this.length),0!==e){var i=67108863^67108863>>>e<=67108864;e++)this.words[e]-=67108864,e===this.length-1?this.words[e+1]=1:this.words[e+1]++;return this.length=Math.max(this.length,e+1),this},a.prototype.isubn=function(t){if(n("number"==typeof t),n(t<67108864),t<0)return this.iaddn(-t);if(0!==this.negative)return this.negative=0,this.iaddn(t),this.negative=1,this;if(this.words[0]-=t,1===this.length&&this.words[0]<0)this.words[0]=-this.words[0],this.negative=1;else for(var e=0;e>26)-(l/67108864|0),this.words[i+r]=67108863&a}for(;i>26,this.words[i+r]=67108863&a;if(0===s)return this.strip();for(n(-1===s),s=0,i=0;i>26,this.words[i]=67108863&a;return this.negative=1,this.strip()},a.prototype._wordDiv=function(t,e){var r=(this.length,t.length),n=this.clone(),i=t,o=0|i.words[i.length-1];0!=(r=26-this._countBits(o))&&(i=i.ushln(r),n.iushln(r),o=0|i.words[i.length-1]);var s,l=n.length-i.length;if("mod"!==e){(s=new a(null)).length=l+1,s.words=new Array(s.length);for(var u=0;u=0;f--){var h=67108864*(0|n.words[i.length+f])+(0|n.words[i.length+f-1]);for(h=Math.min(h/o|0,67108863),n._ishlnsubmul(i,h,f);0!==n.negative;)h--,n.negative=0,n._ishlnsubmul(i,1,f),n.isZero()||(n.negative^=1);s&&(s.words[f]=h)}return s&&s.strip(),n.strip(),"div"!==e&&0!==r&&n.iushrn(r),{div:s||null,mod:n}},a.prototype.divmod=function(t,e,r){return n(!t.isZero()),this.isZero()?{div:new a(0),mod:new a(0)}:0!==this.negative&&0===t.negative?(s=this.neg().divmod(t,e),"mod"!==e&&(i=s.div.neg()),"div"!==e&&(o=s.mod.neg(),r&&0!==o.negative&&o.iadd(t)),{div:i,mod:o}):0===this.negative&&0!==t.negative?(s=this.divmod(t.neg(),e),"mod"!==e&&(i=s.div.neg()),{div:i,mod:s.mod}):0!=(this.negative&t.negative)?(s=this.neg().divmod(t.neg(),e),"div"!==e&&(o=s.mod.neg(),r&&0!==o.negative&&o.isub(t)),{div:s.div,mod:o}):t.length>this.length||this.cmp(t)<0?{div:new a(0),mod:this}:1===t.length?"div"===e?{div:this.divn(t.words[0]),mod:null}:"mod"===e?{div:null,mod:new a(this.modn(t.words[0]))}:{div:this.divn(t.words[0]),mod:new a(this.modn(t.words[0]))}:this._wordDiv(t,e);var i,o,s},a.prototype.div=function(t){return this.divmod(t,"div",!1).div},a.prototype.mod=function(t){return this.divmod(t,"mod",!1).mod},a.prototype.umod=function(t){return this.divmod(t,"mod",!0).mod},a.prototype.divRound=function(t){var e=this.divmod(t);if(e.mod.isZero())return e.div;var r=0!==e.div.negative?e.mod.isub(t):e.mod,n=t.ushrn(1),i=t.andln(1),a=r.cmp(n);return a<0||1===i&&0===a?e.div:0!==e.div.negative?e.div.isubn(1):e.div.iaddn(1)},a.prototype.modn=function(t){n(t<=67108863);for(var e=(1<<26)%t,r=0,i=this.length-1;i>=0;i--)r=(e*r+(0|this.words[i]))%t;return r},a.prototype.idivn=function(t){n(t<=67108863);for(var e=0,r=this.length-1;r>=0;r--){var i=(0|this.words[r])+67108864*e;this.words[r]=i/t|0,e=i%t}return this.strip()},a.prototype.divn=function(t){return this.clone().idivn(t)},a.prototype.egcd=function(t){n(0===t.negative),n(!t.isZero());var e=this,r=t.clone();e=0!==e.negative?e.umod(t):e.clone();for(var i=new a(1),o=new a(0),s=new a(0),l=new a(1),u=0;e.isEven()&&r.isEven();)e.iushrn(1),r.iushrn(1),++u;for(var c=r.clone(),f=e.clone();!e.isZero();){for(var h=0,p=1;0==(e.words[0]&p)&&h<26;++h,p<<=1);if(h>0)for(e.iushrn(h);h-- >0;)(i.isOdd()||o.isOdd())&&(i.iadd(c),o.isub(f)),i.iushrn(1),o.iushrn(1);for(var d=0,v=1;0==(r.words[0]&v)&&d<26;++d,v<<=1);if(d>0)for(r.iushrn(d);d-- >0;)(s.isOdd()||l.isOdd())&&(s.iadd(c),l.isub(f)),s.iushrn(1),l.iushrn(1);e.cmp(r)>=0?(e.isub(r),i.isub(s),o.isub(l)):(r.isub(e),s.isub(i),l.isub(o))}return{a:s,b:l,gcd:r.iushln(u)}},a.prototype._invmp=function(t){n(0===t.negative),n(!t.isZero());var e=this,r=t.clone();e=0!==e.negative?e.umod(t):e.clone();for(var i,o=new a(1),s=new a(0),l=r.clone();e.cmpn(1)>0&&r.cmpn(1)>0;){for(var u=0,c=1;0==(e.words[0]&c)&&u<26;++u,c<<=1);if(u>0)for(e.iushrn(u);u-- >0;)o.isOdd()&&o.iadd(l),o.iushrn(1);for(var f=0,h=1;0==(r.words[0]&h)&&f<26;++f,h<<=1);if(f>0)for(r.iushrn(f);f-- >0;)s.isOdd()&&s.iadd(l),s.iushrn(1);e.cmp(r)>=0?(e.isub(r),o.isub(s)):(r.isub(e),s.isub(o))}return(i=0===e.cmpn(1)?o:s).cmpn(0)<0&&i.iadd(t),i},a.prototype.gcd=function(t){if(this.isZero())return t.abs();if(t.isZero())return this.abs();var e=this.clone(),r=t.clone();e.negative=0,r.negative=0;for(var n=0;e.isEven()&&r.isEven();n++)e.iushrn(1),r.iushrn(1);for(;;){for(;e.isEven();)e.iushrn(1);for(;r.isEven();)r.iushrn(1);var i=e.cmp(r);if(i<0){var a=e;e=r,r=a}else if(0===i||0===r.cmpn(1))break;e.isub(r)}return r.iushln(n)},a.prototype.invm=function(t){return this.egcd(t).a.umod(t)},a.prototype.isEven=function(){return 0==(1&this.words[0])},a.prototype.isOdd=function(){return 1==(1&this.words[0])},a.prototype.andln=function(t){return this.words[0]&t},a.prototype.bincn=function(t){n("number"==typeof t);var e=t%26,r=(t-e)/26,i=1<>>26,s&=67108863,this.words[o]=s}return 0!==a&&(this.words[o]=a,this.length++),this},a.prototype.isZero=function(){return 1===this.length&&0===this.words[0]},a.prototype.cmpn=function(t){var e,r=t<0;if(0!==this.negative&&!r)return-1;if(0===this.negative&&r)return 1;if(this.strip(),this.length>1)e=1;else{r&&(t=-t),n(t<=67108863,"Number is too big");var i=0|this.words[0];e=i===t?0:it.length)return 1;if(this.length=0;r--){var n=0|this.words[r],i=0|t.words[r];if(n!==i){ni&&(e=1);break}}return e},a.prototype.gtn=function(t){return 1===this.cmpn(t)},a.prototype.gt=function(t){return 1===this.cmp(t)},a.prototype.gten=function(t){return this.cmpn(t)>=0},a.prototype.gte=function(t){return this.cmp(t)>=0},a.prototype.ltn=function(t){return-1===this.cmpn(t)},a.prototype.lt=function(t){return-1===this.cmp(t)},a.prototype.lten=function(t){return this.cmpn(t)<=0},a.prototype.lte=function(t){return this.cmp(t)<=0},a.prototype.eqn=function(t){return 0===this.cmpn(t)},a.prototype.eq=function(t){return 0===this.cmp(t)},a.red=function(t){return new T(t)},a.prototype.toRed=function(t){return n(!this.red,"Already a number in reduction context"),n(0===this.negative,"red works only with positives"),t.convertTo(this)._forceRed(t)},a.prototype.fromRed=function(){return n(this.red,"fromRed works only with numbers in reduction context"),this.red.convertFrom(this)},a.prototype._forceRed=function(t){return this.red=t,this},a.prototype.forceRed=function(t){return n(!this.red,"Already a number in reduction context"),this._forceRed(t)},a.prototype.redAdd=function(t){return n(this.red,"redAdd works only with red numbers"),this.red.add(this,t)},a.prototype.redIAdd=function(t){return n(this.red,"redIAdd works only with red numbers"),this.red.iadd(this,t)},a.prototype.redSub=function(t){return n(this.red,"redSub works only with red numbers"),this.red.sub(this,t)},a.prototype.redISub=function(t){return n(this.red,"redISub works only with red numbers"),this.red.isub(this,t)},a.prototype.redShl=function(t){return n(this.red,"redShl works only with red numbers"),this.red.shl(this,t)},a.prototype.redMul=function(t){return n(this.red,"redMul works only with red numbers"),this.red._verify2(this,t),this.red.mul(this,t)},a.prototype.redIMul=function(t){return n(this.red,"redMul works only with red numbers"),this.red._verify2(this,t),this.red.imul(this,t)},a.prototype.redSqr=function(){return n(this.red,"redSqr works only with red numbers"),this.red._verify1(this),this.red.sqr(this)},a.prototype.redISqr=function(){return n(this.red,"redISqr works only with red numbers"),this.red._verify1(this),this.red.isqr(this)},a.prototype.redSqrt=function(){return n(this.red,"redSqrt works only with red numbers"),this.red._verify1(this),this.red.sqrt(this)},a.prototype.redInvm=function(){return n(this.red,"redInvm works only with red numbers"),this.red._verify1(this),this.red.invm(this)},a.prototype.redNeg=function(){return n(this.red,"redNeg works only with red numbers"),this.red._verify1(this),this.red.neg(this)},a.prototype.redPow=function(t){return n(this.red&&!t.red,"redPow(normalNum)"),this.red._verify1(this),this.red.pow(this,t)};var y={k256:null,p224:null,p192:null,p25519:null};function m(t,e){this.name=t,this.p=new a(e,16),this.n=this.p.bitLength(),this.k=new a(1).iushln(this.n).isub(this.p),this.tmp=this._tmp()}function x(){m.call(this,"k256","ffffffff ffffffff ffffffff ffffffff ffffffff ffffffff fffffffe fffffc2f")}function b(){m.call(this,"p224","ffffffff ffffffff ffffffff ffffffff 00000000 00000000 00000001")}function _(){m.call(this,"p192","ffffffff ffffffff ffffffff fffffffe ffffffff ffffffff")}function w(){m.call(this,"25519","7fffffffffffffff ffffffffffffffff ffffffffffffffff ffffffffffffffed")}function T(t){if("string"==typeof t){var e=a._prime(t);this.m=e.p,this.prime=e}else n(t.gtn(1),"modulus must be greater than 1"),this.m=t,this.prime=null}function k(t){T.call(this,t),this.shift=this.m.bitLength(),this.shift%26!=0&&(this.shift+=26-this.shift%26),this.r=new a(1).iushln(this.shift),this.r2=this.imod(this.r.sqr()),this.rinv=this.r._invmp(this.m),this.minv=this.rinv.mul(this.r).isubn(1).div(this.m),this.minv=this.minv.umod(this.r),this.minv=this.r.sub(this.minv)}m.prototype._tmp=function(){var t=new a(null);return t.words=new Array(Math.ceil(this.n/13)),t},m.prototype.ireduce=function(t){var 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v=l("labels");l("labelFont")&&(v=!0),o("labelEnable"),a("labelSize"),a("labelPad"),u("labelColor"),o("lineEnable"),o("lineMirror"),a("lineWidth"),u("lineColor"),o("lineTickEnable"),o("lineTickMirror"),a("lineTickLength"),a("lineTickWidth"),u("lineTickColor"),o("gridEnable"),a("gridWidth"),u("gridColor"),o("zeroEnable"),u("zeroLineColor"),a("zeroLineWidth"),o("backgroundEnable"),u("backgroundColor"),this._text?this._text&&(v||c)&&this._text.update(this.bounds,this.labels,this.labelFont,this.ticks,this.tickFont):this._text=n(this.gl,this.bounds,this.labels,this.labelFont,this.ticks,this.tickFont),this._lines&&c&&(this._lines.dispose(),this._lines=null),this._lines||(this._lines=i(this.gl,this.bounds,this.ticks))};var p=[new h,new h,new h];function d(t,e,r,n,i){for(var a=t.primalOffset,o=t.primalMinor,s=t.mirrorOffset,l=t.mirrorMinor,u=n[e],c=0;c<3;++c)if(e!==c){var f=a,h=s,p=o,d=l;u&1<0?(p[c]=-1,d[c]=0):(p[c]=0,d[c]=1)}}var v=[0,0,0],g={model:l,view:l,projection:l,_ortho:!1};f.isOpaque=function(){return!0},f.isTransparent=function(){return!1},f.drawTransparent=function(t){};var y=[0,0,0],m=[0,0,0],x=[0,0,0];f.draw=function(t){t=t||g;for(var e=this.gl,r=t.model||l,n=t.view||l,i=t.projection||l,a=this.bounds,s=t._ortho||!1,c=o(r,n,i,a,s),f=c.cubeEdges,h=c.axis,b=n[12],_=n[13],w=n[14],T=n[15],k=(s?2:1)*this.pixelRatio*(i[3]*b+i[7]*_+i[11]*w+i[15]*T)/e.drawingBufferHeight,A=0;A<3;++A)this.lastCubeProps.cubeEdges[A]=f[A],this.lastCubeProps.axis[A]=h[A];var M=p;for(A=0;A<3;++A)d(p[A],A,this.bounds,f,h);e=this.gl;var S,E,L,C=v;for(A=0;A<3;++A)this.backgroundEnable[A]?C[A]=h[A]:C[A]=0;for(this._background.draw(r,n,i,a,C,this.backgroundColor),this._lines.bind(r,n,i,this),A=0;A<3;++A){var P=[0,0,0];h[A]>0?P[A]=a[1][A]:P[A]=a[0][A];for(var O=0;O<2;++O){var I=(A+1+O)%3,D=(A+1+(1^O))%3;this.gridEnable[I]&&this._lines.drawGrid(I,D,this.bounds,P,this.gridColor[I],this.gridWidth[I]*this.pixelRatio)}for(O=0;O<2;++O)I=(A+1+O)%3,D=(A+1+(1^O))%3,this.zeroEnable[D]&&Math.min(a[0][D],a[1][D])<=0&&Math.max(a[0][D],a[1][D])>=0&&this._lines.drawZero(I,D,this.bounds,P,this.zeroLineColor[D],this.zeroLineWidth[D]*this.pixelRatio)}for(A=0;A<3;++A){this.lineEnable[A]&&this._lines.drawAxisLine(A,this.bounds,M[A].primalOffset,this.lineColor[A],this.lineWidth[A]*this.pixelRatio),this.lineMirror[A]&&this._lines.drawAxisLine(A,this.bounds,M[A].mirrorOffset,this.lineColor[A],this.lineWidth[A]*this.pixelRatio);var z=u(y,M[A].primalMinor),R=u(m,M[A].mirrorMinor),F=this.lineTickLength;for(O=0;O<3;++O){var B=k/r[5*O];z[O]*=F[O]*B,R[O]*=F[O]*B}this.lineTickEnable[A]&&this._lines.drawAxisTicks(A,M[A].primalOffset,z,this.lineTickColor[A],this.lineTickWidth[A]*this.pixelRatio),this.lineTickMirror[A]&&this._lines.drawAxisTicks(A,M[A].mirrorOffset,R,this.lineTickColor[A],this.lineTickWidth[A]*this.pixelRatio)}function N(t){(L=[0,0,0])[t]=1}function j(t,e,r){var n=(t+1)%3,i=(t+2)%3,a=e[n],o=e[i],s=r[n],l=r[i];a>0&&l>0||a>0&&l<0||a<0&&l>0||a<0&&l<0?N(n):(o>0&&s>0||o>0&&s<0||o<0&&s>0||o<0&&s<0)&&N(i)}for(this._lines.unbind(),this._text.bind(r,n,i,this.pixelRatio),A=0;A<3;++A){var U=M[A].primalMinor,V=M[A].mirrorMinor,q=u(x,M[A].primalOffset);for(O=0;O<3;++O)this.lineTickEnable[A]&&(q[O]+=k*U[O]*Math.max(this.lineTickLength[O],0)/r[5*O]);var H=[0,0,0];if(H[A]=1,this.tickEnable[A]){for(-3600===this.tickAngle[A]?(this.tickAngle[A]=0,this.tickAlign[A]="auto"):this.tickAlign[A]=-1,E=1,"auto"===(S=[this.tickAlign[A],.5,E])[0]?S[0]=0:S[0]=parseInt(""+S[0]),L=[0,0,0],j(A,U,V),O=0;O<3;++O)q[O]+=k*U[O]*this.tickPad[O]/r[5*O];this._text.drawTicks(A,this.tickSize[A],this.tickAngle[A],q,this.tickColor[A],H,L,S)}if(this.labelEnable[A]){for(E=0,L=[0,0,0],this.labels[A].length>4&&(N(A),E=1),"auto"===(S=[this.labelAlign[A],.5,E])[0]?S[0]=0:S[0]=parseInt(""+S[0]),O=0;O<3;++O)q[O]+=k*U[O]*this.labelPad[O]/r[5*O];q[A]+=.5*(a[0][A]+a[1][A]),this._text.drawLabel(A,this.labelSize[A],this.labelAngle[A],q,this.labelColor[A],[0,0,0],L,S)}}this._text.unbind()},f.dispose=function(){this._text.dispose(),this._lines.dispose(),this._background.dispose(),this._lines=null,this._text=null,this._background=null,this.gl=null}},1011:function(t,e,r){"use strict";t.exports=function(t){for(var e=[],r=[],s=0,l=0;l<3;++l)for(var u=(l+1)%3,c=(l+2)%3,f=[0,0,0],h=[0,0,0],p=-1;p<=1;p+=2){r.push(s,s+2,s+1,s+1,s+2,s+3),f[l]=p,h[l]=p;for(var d=-1;d<=1;d+=2){f[u]=d;for(var v=-1;v<=1;v+=2)f[c]=v,e.push(f[0],f[1],f[2],h[0],h[1],h[2]),s+=1}var g=u;u=c,c=g}var y=n(t,new Float32Array(e)),m=n(t,new Uint16Array(r),t.ELEMENT_ARRAY_BUFFER),x=i(t,[{buffer:y,type:t.FLOAT,size:3,offset:0,stride:24},{buffer:y,type:t.FLOAT,size:3,offset:12,stride:24}],m),b=a(t);return b.attributes.position.location=0,b.attributes.normal.location=1,new o(t,y,x,b)};var n=r(5827),i=r(2944),a=r(1943).bg;function o(t,e,r,n){this.gl=t,this.buffer=e,this.vao=r,this.shader=n}var s=o.prototype;s.draw=function(t,e,r,n,i,a){for(var o=!1,s=0;s<3;++s)o=o||i[s];if(o){var l=this.gl;l.enable(l.POLYGON_OFFSET_FILL),l.polygonOffset(1,2),this.shader.bind(),this.shader.uniforms={model:t,view:e,projection:r,bounds:n,enable:i,colors:a},this.vao.bind(),this.vao.draw(this.gl.TRIANGLES,36),this.vao.unbind(),l.disable(l.POLYGON_OFFSET_FILL)}},s.dispose=function(){this.vao.dispose(),this.buffer.dispose(),this.shader.dispose()}},2864:function(t,e,r){"use strict";t.exports=function(t,e,r,a,p){i(s,e,t),i(s,r,s);for(var m=0,x=0;x<2;++x){c[2]=a[x][2];for(var b=0;b<2;++b){c[1]=a[b][1];for(var _=0;_<2;++_)c[0]=a[_][0],h(l[m],c,s),m+=1}}var w=-1;for(x=0;x<8;++x){for(var T=l[x][3],k=0;k<3;++k)u[x][k]=l[x][k]/T;p&&(u[x][2]*=-1),T<0&&(w<0||u[x][2]E&&(w|=1<E&&(w|=1<u[x][1])&&(R=x);var F=-1;for(x=0;x<3;++x)(N=R^1<u[B][0]&&(B=N))}var j=v;j[0]=j[1]=j[2]=0,j[n.log2(F^R)]=R&F,j[n.log2(R^B)]=R&B;var U=7^B;U===w||U===z?(U=7^F,j[n.log2(B^U)]=U&B):j[n.log2(F^U)]=U&F;var V=g,q=w;for(A=0;A<3;++A)V[A]=q&1< HALF_PI) && (b <= ONE_AND_HALF_PI)) ?\n b - PI :\n b;\n}\n\nfloat look_horizontal_or_vertical(float a, float ratio) {\n // ratio controls the ratio between being horizontal to (vertical + horizontal)\n // if ratio is set to 0.5 then it is 50%, 50%.\n // when using a higher ratio e.g. 0.75 the result would\n // likely be more horizontal than vertical.\n\n float b = positive_angle(a);\n\n return\n (b < ( ratio) * HALF_PI) ? 0.0 :\n (b < (2.0 - ratio) * HALF_PI) ? -HALF_PI :\n (b < (2.0 + ratio) * HALF_PI) ? 0.0 :\n (b < (4.0 - ratio) * HALF_PI) ? HALF_PI :\n 0.0;\n}\n\nfloat roundTo(float a, float b) {\n return float(b * floor((a + 0.5 * b) / b));\n}\n\nfloat look_round_n_directions(float a, int n) {\n float b = positive_angle(a);\n float div = TWO_PI / float(n);\n float c = roundTo(b, div);\n return look_upwards(c);\n}\n\nfloat applyAlignOption(float rawAngle, float delta) {\n return\n (option > 2) ? look_round_n_directions(rawAngle + delta, option) : // option 3-n: round to n directions\n (option == 2) ? look_horizontal_or_vertical(rawAngle + delta, hv_ratio) : // horizontal or vertical\n (option == 1) ? rawAngle + delta : // use free angle, and flip to align with one direction of the axis\n (option == 0) ? look_upwards(rawAngle) : // use free angle, and stay upwards\n (option ==-1) ? 0.0 : // useful for backward compatibility, all texts remains horizontal\n rawAngle; // otherwise return back raw input angle\n}\n\nbool isAxisTitle = (axis.x == 0.0) &&\n (axis.y == 0.0) &&\n (axis.z == 0.0);\n\nvoid main() {\n //Compute world offset\n float axisDistance = position.z;\n vec3 dataPosition = axisDistance * axis + offset;\n\n float beta = angle; // i.e. user defined attributes for each tick\n\n float axisAngle;\n float clipAngle;\n float flip;\n\n if (enableAlign) {\n axisAngle = (isAxisTitle) ? HALF_PI :\n computeViewAngle(dataPosition, dataPosition + axis);\n clipAngle = computeViewAngle(dataPosition, dataPosition + alignDir);\n\n axisAngle += (sin(axisAngle) < 0.0) ? PI : 0.0;\n clipAngle += (sin(clipAngle) < 0.0) ? PI : 0.0;\n\n flip = (dot(vec2(cos(axisAngle), sin(axisAngle)),\n vec2(sin(clipAngle),-cos(clipAngle))) > 0.0) ? 1.0 : 0.0;\n\n beta += applyAlignOption(clipAngle, flip * PI);\n }\n\n //Compute plane offset\n vec2 planeCoord = position.xy * pixelScale;\n\n mat2 planeXform = scale * mat2(\n cos(beta), sin(beta),\n -sin(beta), cos(beta)\n );\n\n vec2 viewOffset = 2.0 * planeXform * planeCoord / resolution;\n\n //Compute clip position\n vec3 clipPosition = project(dataPosition);\n\n //Apply text offset in clip coordinates\n clipPosition += vec3(viewOffset, 0.0);\n\n //Done\n gl_Position = vec4(clipPosition, 1.0);\n}"]),l=n(["precision highp float;\n#define GLSLIFY 1\n\nuniform vec4 color;\nvoid main() {\n gl_FragColor = color;\n}"]);e.f=function(t){return i(t,s,l,null,[{name:"position",type:"vec3"}])};var u=n(["precision highp float;\n#define GLSLIFY 1\n\nattribute vec3 position;\nattribute vec3 normal;\n\nuniform mat4 model, view, projection;\nuniform vec3 enable;\nuniform vec3 bounds[2];\n\nvarying vec3 colorChannel;\n\nvoid main() {\n\n vec3 signAxis = sign(bounds[1] - bounds[0]);\n\n vec3 realNormal = signAxis * normal;\n\n if(dot(realNormal, enable) > 0.0) {\n vec3 minRange = min(bounds[0], bounds[1]);\n vec3 maxRange = max(bounds[0], bounds[1]);\n vec3 nPosition = mix(minRange, maxRange, 0.5 * (position + 1.0));\n gl_Position = projection * view * model * vec4(nPosition, 1.0);\n } else {\n gl_Position = vec4(0,0,0,0);\n }\n\n colorChannel = abs(realNormal);\n}"]),c=n(["precision highp float;\n#define GLSLIFY 1\n\nuniform vec4 colors[3];\n\nvarying vec3 colorChannel;\n\nvoid main() {\n gl_FragColor = colorChannel.x * colors[0] +\n colorChannel.y * colors[1] +\n colorChannel.z * colors[2];\n}"]);e.bg=function(t){return i(t,u,c,null,[{name:"position",type:"vec3"},{name:"normal",type:"vec3"}])}},9557:function(t,e,r){"use strict";t.exports=function(t,e,r,i,o,l){var u=n(t),f=a(t,[{buffer:u,size:3}]),h=s(t);h.attributes.position.location=0;var p=new c(t,h,u,f);return p.update(e,r,i,o,l),p};var n=r(5827),a=r(2944),o=r(875),s=r(1943).f,l=window||i.global||{},u=l.__TEXT_CACHE||{};function c(t,e,r,n){this.gl=t,this.shader=e,this.buffer=r,this.vao=n,this.tickOffset=this.tickCount=this.labelOffset=this.labelCount=null}l.__TEXT_CACHE={};var f=c.prototype,h=[0,0];f.bind=function(t,e,r,n){this.vao.bind(),this.shader.bind();var i=this.shader.uniforms;i.model=t,i.view=e,i.projection=r,i.pixelScale=n,h[0]=this.gl.drawingBufferWidth,h[1]=this.gl.drawingBufferHeight,this.shader.uniforms.resolution=h},f.unbind=function(){this.vao.unbind()},f.update=function(t,e,r,n,i){var a=[];function s(t,e,r,n,i,s){var l=u[r];l||(l=u[r]={});var c=l[e];c||(c=l[e]=function(t,e){try{return o(t,e)}catch(e){return console.warn('error vectorizing text:"'+t+'" error:',e),{cells:[],positions:[]}}}(e,{triangles:!0,font:r,textAlign:"center",textBaseline:"middle",lineSpacing:i,styletags:s}));for(var f=(n||12)/12,h=c.positions,p=c.cells,d=0,v=p.length;d=0;--y){var m=h[g[y]];a.push(f*m[0],-f*m[1],t)}}for(var l=[0,0,0],c=[0,0,0],f=[0,0,0],h=[0,0,0],p={breaklines:!0,bolds:!0,italics:!0,subscripts:!0,superscripts:!0},d=0;d<3;++d){f[d]=a.length/3|0,s(.5*(t[0][d]+t[1][d]),e[d],r[d],12,1.25,p),h[d]=(a.length/3|0)-f[d],l[d]=a.length/3|0;for(var v=0;v=0&&(i=r.length-n-1);var a=Math.pow(10,i),o=Math.round(t*e*a),s=o+"";if(s.indexOf("e")>=0)return s;var l=o/a,u=o%a;o<0?(l=0|-Math.ceil(l),u=0|-u):(l=0|Math.floor(l),u|=0);var c=""+l;if(o<0&&(c="-"+c),i){for(var f=""+u;f.length=t[0][i];--o)a.push({x:o*e[i],text:r(e[i],o)});n.push(a)}return n},e.equal=function(t,e){for(var r=0;r<3;++r){if(t[r].length!==e[r].length)return!1;for(var n=0;nr)throw new Error("gl-buffer: If resizing buffer, must not specify offset");return t.bufferSubData(e,a,i),r}function c(t,e){for(var r=n.malloc(t.length,e),i=t.length,a=0;a=0;--n){if(e[n]!==r)return!1;r*=t[n]}return!0}(t.shape,t.stride))0===t.offset&&t.data.length===t.shape[0]?this.length=u(this.gl,this.type,this.length,this.usage,t.data,e):this.length=u(this.gl,this.type,this.length,this.usage,t.data.subarray(t.offset,t.shape[0]),e);else{var s=n.malloc(t.size,r),l=a(s,t.shape);i.assign(l,t),this.length=u(this.gl,this.type,this.length,this.usage,e<0?s:s.subarray(0,t.size),e),n.free(s)}}else if(Array.isArray(t)){var f;f=this.type===this.gl.ELEMENT_ARRAY_BUFFER?c(t,"uint16"):c(t,"float32"),this.length=u(this.gl,this.type,this.length,this.usage,e<0?f:f.subarray(0,t.length),e),n.free(f)}else if("object"==typeof t&&"number"==typeof t.length)this.length=u(this.gl,this.type,this.length,this.usage,t,e);else{if("number"!=typeof t&&void 0!==t)throw new Error("gl-buffer: Invalid data type");if(e>=0)throw new Error("gl-buffer: Cannot specify offset when resizing buffer");(t|=0)<=0&&(t=1),this.gl.bufferData(this.type,0|t,this.usage),this.length=t}},t.exports=function(t,e,r,n){if(r=r||t.ARRAY_BUFFER,n=n||t.DYNAMIC_DRAW,r!==t.ARRAY_BUFFER&&r!==t.ELEMENT_ARRAY_BUFFER)throw new Error("gl-buffer: Invalid type for webgl buffer, must be either gl.ARRAY_BUFFER or gl.ELEMENT_ARRAY_BUFFER");if(n!==t.DYNAMIC_DRAW&&n!==t.STATIC_DRAW&&n!==t.STREAM_DRAW)throw new Error("gl-buffer: Invalid usage for buffer, must be either gl.DYNAMIC_DRAW, gl.STATIC_DRAW or gl.STREAM_DRAW");var i=t.createBuffer(),a=new s(t,r,i,0,n);return a.update(e),a}},1140:function(t,e,r){"use strict";var n=r(2858);t.exports=function(t,e){var r=t.positions,i=t.vectors,a={positions:[],vertexIntensity:[],vertexIntensityBounds:t.vertexIntensityBounds,vectors:[],cells:[],coneOffset:t.coneOffset,colormap:t.colormap};if(0===t.positions.length)return e&&(e[0]=[0,0,0],e[1]=[0,0,0]),a;for(var o=0,s=1/0,l=-1/0,u=1/0,c=-1/0,f=1/0,h=-1/0,p=null,d=null,v=[],g=1/0,y=!1,m=0;mo&&(o=n.length(b)),m){var _=2*n.distance(p,x)/(n.length(d)+n.length(b));_?(g=Math.min(g,_),y=!1):y=!0}y||(p=x,d=b),v.push(b)}var w=[s,u,f],T=[l,c,h];e&&(e[0]=w,e[1]=T),0===o&&(o=1);var k=1/o;isFinite(g)||(g=1),a.vectorScale=g;var A=t.coneSize||.5;t.absoluteConeSize&&(A=t.absoluteConeSize*k),a.coneScale=A,m=0;for(var M=0;m=1},p.isTransparent=function(){return this.opacity<1},p.pickSlots=1,p.setPickBase=function(t){this.pickId=t},p.update=function(t){t=t||{};var e=this.gl;this.dirty=!0,"lightPosition"in t&&(this.lightPosition=t.lightPosition),"opacity"in t&&(this.opacity=t.opacity),"ambient"in t&&(this.ambientLight=t.ambient),"diffuse"in t&&(this.diffuseLight=t.diffuse),"specular"in t&&(this.specularLight=t.specular),"roughness"in t&&(this.roughness=t.roughness),"fresnel"in t&&(this.fresnel=t.fresnel),void 0!==t.tubeScale&&(this.tubeScale=t.tubeScale),void 0!==t.vectorScale&&(this.vectorScale=t.vectorScale),void 0!==t.coneScale&&(this.coneScale=t.coneScale),void 0!==t.coneOffset&&(this.coneOffset=t.coneOffset),t.colormap&&(this.texture.shape=[256,256],this.texture.minFilter=e.LINEAR_MIPMAP_LINEAR,this.texture.magFilter=e.LINEAR,this.texture.setPixels(function(t){for(var e=c({colormap:t,nshades:256,format:"rgba"}),r=new Uint8Array(1024),n=0;n<256;++n){for(var i=e[n],a=0;a<3;++a)r[4*n+a]=i[a];r[4*n+3]=255*i[3]}return u(r,[256,256,4],[4,0,1])}(t.colormap)),this.texture.generateMipmap());var r=t.cells,n=t.positions,i=t.vectors;if(n&&r&&i){var a=[],o=[],s=[],l=[],f=[];this.cells=r,this.positions=n,this.vectors=i;var h=t.meshColor||[1,1,1,1],p=t.vertexIntensity,d=1/0,v=-1/0;if(p)if(t.vertexIntensityBounds)d=+t.vertexIntensityBounds[0],v=+t.vertexIntensityBounds[1];else for(var g=0;g0){var v=this.triShader;v.bind(),v.uniforms=u,this.triangleVAO.bind(),e.drawArrays(e.TRIANGLES,0,3*this.triangleCount),this.triangleVAO.unbind()}},p.drawPick=function(t){t=t||{};for(var e=this.gl,r=t.model||f,n=t.view||f,i=t.projection||f,a=[[-1e6,-1e6,-1e6],[1e6,1e6,1e6]],o=0;o<3;++o)a[0][o]=Math.max(a[0][o],this.clipBounds[0][o]),a[1][o]=Math.min(a[1][o],this.clipBounds[1][o]);this._model=[].slice.call(r),this._view=[].slice.call(n),this._projection=[].slice.call(i),this._resolution=[e.drawingBufferWidth,e.drawingBufferHeight];var s={model:r,view:n,projection:i,clipBounds:a,tubeScale:this.tubeScale,vectorScale:this.vectorScale,coneScale:this.coneScale,coneOffset:this.coneOffset,pickId:this.pickId/255},l=this.pickShader;l.bind(),l.uniforms=s,this.triangleCount>0&&(this.triangleVAO.bind(),e.drawArrays(e.TRIANGLES,0,3*this.triangleCount),this.triangleVAO.unbind())},p.pick=function(t){if(!t)return null;if(t.id!==this.pickId)return null;var e=t.value[0]+256*t.value[1]+65536*t.value[2],r=this.cells[e],n=this.positions[r[1]].slice(0,3),i={position:n,dataCoordinate:n,index:Math.floor(r[1]/48)};return"cone"===this.traceType?i.index=Math.floor(r[1]/48):"streamtube"===this.traceType&&(i.intensity=this.intensity[r[1]],i.velocity=this.vectors[r[1]].slice(0,3),i.divergence=this.vectors[r[1]][3],i.index=e),i},p.dispose=function(){this.texture.dispose(),this.triShader.dispose(),this.pickShader.dispose(),this.triangleVAO.dispose(),this.trianglePositions.dispose(),this.triangleVectors.dispose(),this.triangleColors.dispose(),this.triangleUVs.dispose(),this.triangleIds.dispose()},t.exports=function(t,e,r){var s=r.shaders;1===arguments.length&&(t=(e=t).gl);var l=function(t,e){var r=n(t,e.meshShader.vertex,e.meshShader.fragment,null,e.meshShader.attributes);return r.attributes.position.location=0,r.attributes.color.location=2,r.attributes.uv.location=3,r.attributes.vector.location=4,r}(t,s),c=function(t,e){var r=n(t,e.pickShader.vertex,e.pickShader.fragment,null,e.pickShader.attributes);return r.attributes.position.location=0,r.attributes.id.location=1,r.attributes.vector.location=4,r}(t,s),f=o(t,u(new Uint8Array([255,255,255,255]),[1,1,4]));f.generateMipmap(),f.minFilter=t.LINEAR_MIPMAP_LINEAR,f.magFilter=t.LINEAR;var p=i(t),d=i(t),v=i(t),g=i(t),y=i(t),m=new h(t,f,l,c,p,d,y,v,g,a(t,[{buffer:p,type:t.FLOAT,size:4},{buffer:y,type:t.UNSIGNED_BYTE,size:4,normalized:!0},{buffer:v,type:t.FLOAT,size:4},{buffer:g,type:t.FLOAT,size:2},{buffer:d,type:t.FLOAT,size:4}]),r.traceType||"cone");return m.update(e),m}},7234:function(t,e,r){var n=r(6832),i=n(["precision highp float;\n\nprecision highp float;\n#define GLSLIFY 1\n\nvec3 getOrthogonalVector(vec3 v) {\n // Return up-vector for only-z vector.\n // Return ax + by + cz = 0, a point that lies on the plane that has v as a normal and that isn't (0,0,0).\n // From the above if-statement we have ||a|| > 0 U ||b|| > 0.\n // Assign z = 0, x = -b, y = a:\n // a*-b + b*a + c*0 = -ba + ba + 0 = 0\n if (v.x*v.x > v.z*v.z || v.y*v.y > v.z*v.z) {\n return normalize(vec3(-v.y, v.x, 0.0));\n } else {\n return normalize(vec3(0.0, v.z, -v.y));\n }\n}\n\n// Calculate the cone vertex and normal at the given index.\n//\n// The returned vertex is for a cone with its top at origin and height of 1.0,\n// pointing in the direction of the vector attribute.\n//\n// Each cone is made up of a top vertex, a center base vertex and base perimeter vertices.\n// These vertices are used to make up the triangles of the cone by the following:\n// segment + 0 top vertex\n// segment + 1 perimeter vertex a+1\n// segment + 2 perimeter vertex a\n// segment + 3 center base vertex\n// segment + 4 perimeter vertex a\n// segment + 5 perimeter vertex a+1\n// Where segment is the number of the radial segment * 6 and a is the angle at that radial segment.\n// To go from index to segment, floor(index / 6)\n// To go from segment to angle, 2*pi * (segment/segmentCount)\n// To go from index to segment index, index - (segment*6)\n//\nvec3 getConePosition(vec3 d, float rawIndex, float coneOffset, out vec3 normal) {\n\n const float segmentCount = 8.0;\n\n float index = rawIndex - floor(rawIndex /\n (segmentCount * 6.0)) *\n (segmentCount * 6.0);\n\n float segment = floor(0.001 + index/6.0);\n float segmentIndex = index - (segment*6.0);\n\n normal = -normalize(d);\n\n if (segmentIndex > 2.99 && segmentIndex < 3.01) {\n return mix(vec3(0.0), -d, coneOffset);\n }\n\n float nextAngle = (\n (segmentIndex > 0.99 && segmentIndex < 1.01) ||\n (segmentIndex > 4.99 && segmentIndex < 5.01)\n ) ? 1.0 : 0.0;\n float angle = 2.0 * 3.14159 * ((segment + nextAngle) / segmentCount);\n\n vec3 v1 = mix(d, vec3(0.0), coneOffset);\n vec3 v2 = v1 - d;\n\n vec3 u = getOrthogonalVector(d);\n vec3 v = normalize(cross(u, d));\n\n vec3 x = u * cos(angle) * length(d)*0.25;\n vec3 y = v * sin(angle) * length(d)*0.25;\n vec3 v3 = v2 + x + y;\n if (segmentIndex < 3.0) {\n vec3 tx = u * sin(angle);\n vec3 ty = v * -cos(angle);\n vec3 tangent = tx + ty;\n normal = normalize(cross(v3 - v1, tangent));\n }\n\n if (segmentIndex == 0.0) {\n return mix(d, vec3(0.0), coneOffset);\n }\n return v3;\n}\n\nattribute vec3 vector;\nattribute vec4 color, position;\nattribute vec2 uv;\n\nuniform float vectorScale, coneScale, coneOffset;\nuniform mat4 model, view, projection, inverseModel;\nuniform vec3 eyePosition, lightPosition;\n\nvarying vec3 f_normal, f_lightDirection, f_eyeDirection, f_data, f_position;\nvarying vec4 f_color;\nvarying vec2 f_uv;\n\nvoid main() {\n // Scale the vector magnitude to stay constant with\n // model & view changes.\n vec3 normal;\n vec3 XYZ = getConePosition(mat3(model) * ((vectorScale * coneScale) * vector), position.w, coneOffset, normal);\n vec4 conePosition = model * vec4(position.xyz, 1.0) + vec4(XYZ, 0.0);\n\n //Lighting geometry parameters\n vec4 cameraCoordinate = view * conePosition;\n cameraCoordinate.xyz /= cameraCoordinate.w;\n f_lightDirection = lightPosition - cameraCoordinate.xyz;\n f_eyeDirection = eyePosition - cameraCoordinate.xyz;\n f_normal = normalize((vec4(normal, 0.0) * inverseModel).xyz);\n\n // vec4 m_position = model * vec4(conePosition, 1.0);\n vec4 t_position = view * conePosition;\n gl_Position = projection * t_position;\n\n f_color = color;\n f_data = conePosition.xyz;\n f_position = position.xyz;\n f_uv = uv;\n}\n"]),a=n(["#extension GL_OES_standard_derivatives : enable\n\nprecision highp float;\n#define GLSLIFY 1\n\nfloat beckmannDistribution(float x, float roughness) {\n float NdotH = max(x, 0.0001);\n float cos2Alpha = NdotH * NdotH;\n float tan2Alpha = (cos2Alpha - 1.0) / cos2Alpha;\n float roughness2 = roughness * roughness;\n float denom = 3.141592653589793 * roughness2 * cos2Alpha * cos2Alpha;\n return exp(tan2Alpha / roughness2) / denom;\n}\n\nfloat cookTorranceSpecular(\n vec3 lightDirection,\n vec3 viewDirection,\n vec3 surfaceNormal,\n float roughness,\n float fresnel) {\n\n float VdotN = max(dot(viewDirection, surfaceNormal), 0.0);\n float LdotN = max(dot(lightDirection, surfaceNormal), 0.0);\n\n //Half angle vector\n vec3 H = normalize(lightDirection + viewDirection);\n\n //Geometric term\n float NdotH = max(dot(surfaceNormal, H), 0.0);\n float VdotH = max(dot(viewDirection, H), 0.000001);\n float LdotH = max(dot(lightDirection, H), 0.000001);\n float G1 = (2.0 * NdotH * VdotN) / VdotH;\n float G2 = (2.0 * NdotH * LdotN) / LdotH;\n float G = min(1.0, min(G1, G2));\n \n //Distribution term\n float D = beckmannDistribution(NdotH, roughness);\n\n //Fresnel term\n float F = pow(1.0 - VdotN, fresnel);\n\n //Multiply terms and done\n return G * F * D / max(3.14159265 * VdotN, 0.000001);\n}\n\nbool outOfRange(float a, float b, float p) {\n return ((p > max(a, b)) || \n (p < min(a, b)));\n}\n\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\n return (outOfRange(a.x, b.x, p.x) ||\n outOfRange(a.y, b.y, p.y));\n}\n\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\n return (outOfRange(a.x, b.x, p.x) ||\n outOfRange(a.y, b.y, p.y) ||\n outOfRange(a.z, b.z, p.z));\n}\n\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\n return outOfRange(a.xyz, b.xyz, p.xyz);\n}\n\nuniform vec3 clipBounds[2];\nuniform float roughness, fresnel, kambient, kdiffuse, kspecular, opacity;\nuniform sampler2D texture;\n\nvarying vec3 f_normal, f_lightDirection, f_eyeDirection, f_data, f_position;\nvarying vec4 f_color;\nvarying vec2 f_uv;\n\nvoid main() {\n if (outOfRange(clipBounds[0], clipBounds[1], f_position)) discard;\n vec3 N = normalize(f_normal);\n vec3 L = normalize(f_lightDirection);\n vec3 V = normalize(f_eyeDirection);\n\n if(gl_FrontFacing) {\n N = -N;\n }\n\n float specular = min(1.0, max(0.0, cookTorranceSpecular(L, V, N, roughness, fresnel)));\n float diffuse = min(kambient + kdiffuse * max(dot(N, L), 0.0), 1.0);\n\n vec4 surfaceColor = f_color * texture2D(texture, f_uv);\n vec4 litColor = surfaceColor.a * vec4(diffuse * surfaceColor.rgb + kspecular * vec3(1,1,1) * specular, 1.0);\n\n gl_FragColor = litColor * opacity;\n}\n"]),o=n(["precision highp float;\n\nprecision highp float;\n#define GLSLIFY 1\n\nvec3 getOrthogonalVector(vec3 v) {\n // Return up-vector for only-z vector.\n // Return ax + by + cz = 0, a point that lies on the plane that has v as a normal and that isn't (0,0,0).\n // From the above if-statement we have ||a|| > 0 U ||b|| > 0.\n // Assign z = 0, x = -b, y = a:\n // a*-b + b*a + c*0 = -ba + ba + 0 = 0\n if (v.x*v.x > v.z*v.z || v.y*v.y > v.z*v.z) {\n return normalize(vec3(-v.y, v.x, 0.0));\n } else {\n return normalize(vec3(0.0, v.z, -v.y));\n }\n}\n\n// Calculate the cone vertex and normal at the given index.\n//\n// The returned vertex is for a cone with its top at origin and height of 1.0,\n// pointing in the direction of the vector attribute.\n//\n// Each cone is made up of a top vertex, a center base vertex and base perimeter vertices.\n// These vertices are used to make up the triangles of the cone by the following:\n// segment + 0 top vertex\n// segment + 1 perimeter vertex a+1\n// segment + 2 perimeter vertex a\n// segment + 3 center base vertex\n// segment + 4 perimeter vertex a\n// segment + 5 perimeter vertex a+1\n// Where segment is the number of the radial segment * 6 and a is the angle at that radial segment.\n// To go from index to segment, floor(index / 6)\n// To go from segment to angle, 2*pi * (segment/segmentCount)\n// To go from index to segment index, index - (segment*6)\n//\nvec3 getConePosition(vec3 d, float rawIndex, float coneOffset, out vec3 normal) {\n\n const float segmentCount = 8.0;\n\n float index = rawIndex - floor(rawIndex /\n (segmentCount * 6.0)) *\n (segmentCount * 6.0);\n\n float segment = floor(0.001 + index/6.0);\n float segmentIndex = index - (segment*6.0);\n\n normal = -normalize(d);\n\n if (segmentIndex > 2.99 && segmentIndex < 3.01) {\n return mix(vec3(0.0), -d, coneOffset);\n }\n\n float nextAngle = (\n (segmentIndex > 0.99 && segmentIndex < 1.01) ||\n (segmentIndex > 4.99 && segmentIndex < 5.01)\n ) ? 1.0 : 0.0;\n float angle = 2.0 * 3.14159 * ((segment + nextAngle) / segmentCount);\n\n vec3 v1 = mix(d, vec3(0.0), coneOffset);\n vec3 v2 = v1 - d;\n\n vec3 u = getOrthogonalVector(d);\n vec3 v = normalize(cross(u, d));\n\n vec3 x = u * cos(angle) * length(d)*0.25;\n vec3 y = v * sin(angle) * length(d)*0.25;\n vec3 v3 = v2 + x + y;\n if (segmentIndex < 3.0) {\n vec3 tx = u * sin(angle);\n vec3 ty = v * -cos(angle);\n vec3 tangent = tx + ty;\n normal = normalize(cross(v3 - v1, tangent));\n }\n\n if (segmentIndex == 0.0) {\n return mix(d, vec3(0.0), coneOffset);\n }\n return v3;\n}\n\nattribute vec4 vector;\nattribute vec4 position;\nattribute vec4 id;\n\nuniform mat4 model, view, projection;\nuniform float vectorScale, coneScale, coneOffset;\n\nvarying vec3 f_position;\nvarying vec4 f_id;\n\nvoid main() {\n vec3 normal;\n vec3 XYZ = getConePosition(mat3(model) * ((vectorScale * coneScale) * vector.xyz), position.w, coneOffset, normal);\n vec4 conePosition = model * vec4(position.xyz, 1.0) + vec4(XYZ, 0.0);\n gl_Position = projection * view * conePosition;\n f_id = id;\n f_position = position.xyz;\n}\n"]),s=n(["precision highp float;\n#define GLSLIFY 1\n\nbool outOfRange(float a, float b, float p) {\n return ((p > max(a, b)) || \n (p < min(a, b)));\n}\n\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\n return (outOfRange(a.x, b.x, p.x) ||\n outOfRange(a.y, b.y, p.y));\n}\n\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\n return (outOfRange(a.x, b.x, p.x) ||\n outOfRange(a.y, b.y, p.y) ||\n outOfRange(a.z, b.z, p.z));\n}\n\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\n return outOfRange(a.xyz, b.xyz, p.xyz);\n}\n\nuniform vec3 clipBounds[2];\nuniform float pickId;\n\nvarying vec3 f_position;\nvarying vec4 f_id;\n\nvoid main() {\n if (outOfRange(clipBounds[0], clipBounds[1], f_position)) discard;\n\n gl_FragColor = vec4(pickId, f_id.xyz);\n}"]);e.meshShader={vertex:i,fragment:a,attributes:[{name:"position",type:"vec4"},{name:"color",type:"vec4"},{name:"uv",type:"vec2"},{name:"vector",type:"vec3"}]},e.pickShader={vertex:o,fragment:s,attributes:[{name:"position",type:"vec4"},{name:"id",type:"vec4"},{name:"vector",type:"vec3"}]}},1950:function(t){t.exports={0:"NONE",1:"ONE",2:"LINE_LOOP",3:"LINE_STRIP",4:"TRIANGLES",5:"TRIANGLE_STRIP",6:"TRIANGLE_FAN",256:"DEPTH_BUFFER_BIT",512:"NEVER",513:"LESS",514:"EQUAL",515:"LEQUAL",516:"GREATER",517:"NOTEQUAL",518:"GEQUAL",519:"ALWAYS",768:"SRC_COLOR",769:"ONE_MINUS_SRC_COLOR",770:"SRC_ALPHA",771:"ONE_MINUS_SRC_ALPHA",772:"DST_ALPHA",773:"ONE_MINUS_DST_ALPHA",774:"DST_COLOR",775:"ONE_MINUS_DST_COLOR",776:"SRC_ALPHA_SATURATE",1024:"STENCIL_BUFFER_BIT",1028:"FRONT",1029:"BACK",1032:"FRONT_AND_BACK",1280:"INVALID_ENUM",1281:"INVALID_VALUE",1282:"INVALID_OPERATION",1285:"OUT_OF_MEMORY",1286:"INVALID_FRAMEBUFFER_OPERATION",2304:"CW",2305:"CCW",2849:"LINE_WIDTH",2884:"CULL_FACE",2885:"CULL_FACE_MODE",2886:"FRONT_FACE",2928:"DEPTH_RANGE",2929:"DEPTH_TEST",2930:"DEPTH_WRITEMASK",2931:"DEPTH_CLEAR_VALUE",2932:"DEPTH_FUNC",2960:"STENCIL_TEST",2961:"STENCIL_CLEAR_VALUE",2962:"STENCIL_FUNC",2963:"STENCIL_VALUE_MASK",2964:"STENCIL_FAIL",2965:"STENCIL_PASS_DEPTH_FAIL",2966:"STENCIL_PASS_DEPTH_PASS",2967:"STENCIL_REF",2968:"STENCIL_WRITEMASK",2978:"VIEWPORT",3024:"DITHER",3042:"BLEND",3088:"SCISSOR_BOX",3089:"SCISSOR_TEST",3106:"COLOR_CLEAR_VALUE",3107:"COLOR_WRITEMASK",3317:"UNPACK_ALIGNMENT",3333:"PACK_ALIGNMENT",3379:"MAX_TEXTURE_SIZE",3386:"MAX_VIEWPORT_DIMS",3408:"SUBPIXEL_BITS",3410:"RED_BITS",3411:"GREEN_BITS",3412:"BLUE_BITS",3413:"ALPHA_BITS",3414:"DEPTH_BITS",3415:"STENCIL_BITS",3553:"TEXTURE_2D",4352:"DONT_CARE",4353:"FASTEST",4354:"NICEST",5120:"BYTE",5121:"UNSIGNED_BYTE",5122:"SHORT",5123:"UNSIGNED_SHORT",5124:"INT",5125:"UNSIGNED_INT",5126:"FLOAT",5386:"INVERT",5890:"TEXTURE",6401:"STENCIL_INDEX",6402:"DEPTH_COMPONENT",6406:"ALPHA",6407:"RGB",6408:"RGBA",6409:"LUMINANCE",6410:"LUMINANCE_ALPHA",7680:"KEEP",7681:"REPLACE",7682:"INCR",7683:"DECR",7936:"VENDOR",7937:"RENDERER",7938:"VERSION",9728:"NEAREST",9729:"LINEAR",9984:"NEAREST_MIPMAP_NEAREST",9985:"LINEAR_MIPMAP_NEAREST",9986:"NEAREST_MIPMAP_LINEAR",9987:"LINEAR_MIPMAP_LINEAR",10240:"TEXTURE_MAG_FILTER",10241:"TEXTURE_MIN_FILTER",10242:"TEXTURE_WRAP_S",10243:"TEXTURE_WRAP_T",10497:"REPEAT",10752:"POLYGON_OFFSET_UNITS",16384:"COLOR_BUFFER_BIT",32769:"CONSTANT_COLOR",32770:"ONE_MINUS_CONSTANT_COLOR",32771:"CONSTANT_ALPHA",32772:"ONE_MINUS_CONSTANT_ALPHA",32773:"BLEND_COLOR",32774:"FUNC_ADD",32777:"BLEND_EQUATION_RGB",32778:"FUNC_SUBTRACT",32779:"FUNC_REVERSE_SUBTRACT",32819:"UNSIGNED_SHORT_4_4_4_4",32820:"UNSIGNED_SHORT_5_5_5_1",32823:"POLYGON_OFFSET_FILL",32824:"POLYGON_OFFSET_FACTOR",32854:"RGBA4",32855:"RGB5_A1",32873:"TEXTURE_BINDING_2D",32926:"SAMPLE_ALPHA_TO_COVERAGE",32928:"SAMPLE_COVERAGE",32936:"SAMPLE_BUFFERS",32937:"SAMPLES",32938:"SAMPLE_COVERAGE_VALUE",32939:"SAMPLE_COVERAGE_INVERT",32968:"BLEND_DST_RGB",32969:"BLEND_SRC_RGB",32970:"BLEND_DST_ALPHA",32971:"BLEND_SRC_ALPHA",33071:"CLAMP_TO_EDGE",33170:"GENERATE_MIPMAP_HINT",33189:"DEPTH_COMPONENT16",33306:"DEPTH_STENCIL_ATTACHMENT",33635:"UNSIGNED_SHORT_5_6_5",33648:"MIRRORED_REPEAT",33901:"ALIASED_POINT_SIZE_RANGE",33902:"ALIASED_LINE_WIDTH_RANGE",33984:"TEXTURE0",33985:"TEXTURE1",33986:"TEXTURE2",33987:"TEXTURE3",33988:"TEXTURE4",33989:"TEXTURE5",33990:"TEXTURE6",33991:"TEXTURE7",33992:"TEXTURE8",33993:"TEXTURE9",33994:"TEXTURE10",33995:"TEXTURE11",33996:"TEXTURE12",33997:"TEXTURE13",33998:"TEXTURE14",33999:"TEXTURE15",34e3:"TEXTURE16",34001:"TEXTURE17",34002:"TEXTURE18",34003:"TEXTURE19",34004:"TEXTURE20",34005:"TEXTURE21",34006:"TEXTURE22",34007:"TEXTURE23",34008:"TEXTURE24",34009:"TEXTURE25",34010:"TEXTURE26",34011:"TEXTURE27",34012:"TEXTURE28",34013:"TEXTURE29",34014:"TEXTURE30",34015:"TEXTURE31",34016:"ACTIVE_TEXTURE",34024:"MAX_RENDERBUFFER_SIZE",34041:"DEPTH_STENCIL",34055:"INCR_WRAP",34056:"DECR_WRAP",34067:"TEXTURE_CUBE_MAP",34068:"TEXTURE_BINDING_CUBE_MAP",34069:"TEXTURE_CUBE_MAP_POSITIVE_X",34070:"TEXTURE_CUBE_MAP_NEGATIVE_X",34071:"TEXTURE_CUBE_MAP_POSITIVE_Y",34072:"TEXTURE_CUBE_MAP_NEGATIVE_Y",34073:"TEXTURE_CUBE_MAP_POSITIVE_Z",34074:"TEXTURE_CUBE_MAP_NEGATIVE_Z",34076:"MAX_CUBE_MAP_TEXTURE_SIZE",34338:"VERTEX_ATTRIB_ARRAY_ENABLED",34339:"VERTEX_ATTRIB_ARRAY_SIZE",34340:"VERTEX_ATTRIB_ARRAY_STRIDE",34341:"VERTEX_ATTRIB_ARRAY_TYPE",34342:"CURRENT_VERTEX_ATTRIB",34373:"VERTEX_ATTRIB_ARRAY_POINTER",34466:"NUM_COMPRESSED_TEXTURE_FORMATS",34467:"COMPRESSED_TEXTURE_FORMATS",34660:"BUFFER_SIZE",34661:"BUFFER_USAGE",34816:"STENCIL_BACK_FUNC",34817:"STENCIL_BACK_FAIL",34818:"STENCIL_BACK_PASS_DEPTH_FAIL",34819:"STENCIL_BACK_PASS_DEPTH_PASS",34877:"BLEND_EQUATION_ALPHA",34921:"MAX_VERTEX_ATTRIBS",34922:"VERTEX_ATTRIB_ARRAY_NORMALIZED",34930:"MAX_TEXTURE_IMAGE_UNITS",34962:"ARRAY_BUFFER",34963:"ELEMENT_ARRAY_BUFFER",34964:"ARRAY_BUFFER_BINDING",34965:"ELEMENT_ARRAY_BUFFER_BINDING",34975:"VERTEX_ATTRIB_ARRAY_BUFFER_BINDING",35040:"STREAM_DRAW",35044:"STATIC_DRAW",35048:"DYNAMIC_DRAW",35632:"FRAGMENT_SHADER",35633:"VERTEX_SHADER",35660:"MAX_VERTEX_TEXTURE_IMAGE_UNITS",35661:"MAX_COMBINED_TEXTURE_IMAGE_UNITS",35663:"SHADER_TYPE",35664:"FLOAT_VEC2",35665:"FLOAT_VEC3",35666:"FLOAT_VEC4",35667:"INT_VEC2",35668:"INT_VEC3",35669:"INT_VEC4",35670:"BOOL",35671:"BOOL_VEC2",35672:"BOOL_VEC3",35673:"BOOL_VEC4",35674:"FLOAT_MAT2",35675:"FLOAT_MAT3",35676:"FLOAT_MAT4",35678:"SAMPLER_2D",35680:"SAMPLER_CUBE",35712:"DELETE_STATUS",35713:"COMPILE_STATUS",35714:"LINK_STATUS",35715:"VALIDATE_STATUS",35716:"INFO_LOG_LENGTH",35717:"ATTACHED_SHADERS",35718:"ACTIVE_UNIFORMS",35719:"ACTIVE_UNIFORM_MAX_LENGTH",35720:"SHADER_SOURCE_LENGTH",35721:"ACTIVE_ATTRIBUTES",35722:"ACTIVE_ATTRIBUTE_MAX_LENGTH",35724:"SHADING_LANGUAGE_VERSION",35725:"CURRENT_PROGRAM",36003:"STENCIL_BACK_REF",36004:"STENCIL_BACK_VALUE_MASK",36005:"STENCIL_BACK_WRITEMASK",36006:"FRAMEBUFFER_BINDING",36007:"RENDERBUFFER_BINDING",36048:"FRAMEBUFFER_ATTACHMENT_OBJECT_TYPE",36049:"FRAMEBUFFER_ATTACHMENT_OBJECT_NAME",36050:"FRAMEBUFFER_ATTACHMENT_TEXTURE_LEVEL",36051:"FRAMEBUFFER_ATTACHMENT_TEXTURE_CUBE_MAP_FACE",36053:"FRAMEBUFFER_COMPLETE",36054:"FRAMEBUFFER_INCOMPLETE_ATTACHMENT",36055:"FRAMEBUFFER_INCOMPLETE_MISSING_ATTACHMENT",36057:"FRAMEBUFFER_INCOMPLETE_DIMENSIONS",36061:"FRAMEBUFFER_UNSUPPORTED",36064:"COLOR_ATTACHMENT0",36096:"DEPTH_ATTACHMENT",36128:"STENCIL_ATTACHMENT",36160:"FRAMEBUFFER",36161:"RENDERBUFFER",36162:"RENDERBUFFER_WIDTH",36163:"RENDERBUFFER_HEIGHT",36164:"RENDERBUFFER_INTERNAL_FORMAT",36168:"STENCIL_INDEX8",36176:"RENDERBUFFER_RED_SIZE",36177:"RENDERBUFFER_GREEN_SIZE",36178:"RENDERBUFFER_BLUE_SIZE",36179:"RENDERBUFFER_ALPHA_SIZE",36180:"RENDERBUFFER_DEPTH_SIZE",36181:"RENDERBUFFER_STENCIL_SIZE",36194:"RGB565",36336:"LOW_FLOAT",36337:"MEDIUM_FLOAT",36338:"HIGH_FLOAT",36339:"LOW_INT",36340:"MEDIUM_INT",36341:"HIGH_INT",36346:"SHADER_COMPILER",36347:"MAX_VERTEX_UNIFORM_VECTORS",36348:"MAX_VARYING_VECTORS",36349:"MAX_FRAGMENT_UNIFORM_VECTORS",37440:"UNPACK_FLIP_Y_WEBGL",37441:"UNPACK_PREMULTIPLY_ALPHA_WEBGL",37442:"CONTEXT_LOST_WEBGL",37443:"UNPACK_COLORSPACE_CONVERSION_WEBGL",37444:"BROWSER_DEFAULT_WEBGL"}},6603:function(t,e,r){var n=r(1950);t.exports=function(t){return n[t]}},3110:function(t,e,r){"use strict";t.exports=function(t){var e=t.gl,r=n(e),o=i(e,[{buffer:r,type:e.FLOAT,size:3,offset:0,stride:40},{buffer:r,type:e.FLOAT,size:4,offset:12,stride:40},{buffer:r,type:e.FLOAT,size:3,offset:28,stride:40}]),l=a(e);l.attributes.position.location=0,l.attributes.color.location=1,l.attributes.offset.location=2;var u=new s(e,r,o,l);return u.update(t),u};var n=r(5827),i=r(2944),a=r(7667),o=[1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1];function s(t,e,r,n){this.gl=t,this.shader=n,this.buffer=e,this.vao=r,this.pixelRatio=1,this.bounds=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]],this.clipBounds=[[-1/0,-1/0,-1/0],[1/0,1/0,1/0]],this.lineWidth=[1,1,1],this.capSize=[10,10,10],this.lineCount=[0,0,0],this.lineOffset=[0,0,0],this.opacity=1,this.hasAlpha=!1}var l=s.prototype;function u(t,e){for(var r=0;r<3;++r)t[0][r]=Math.min(t[0][r],e[r]),t[1][r]=Math.max(t[1][r],e[r])}l.isOpaque=function(){return!this.hasAlpha},l.isTransparent=function(){return this.hasAlpha},l.drawTransparent=l.draw=function(t){var e=this.gl,r=this.shader.uniforms;this.shader.bind();var n=r.view=t.view||o,i=r.projection=t.projection||o;r.model=t.model||o,r.clipBounds=this.clipBounds,r.opacity=this.opacity;var a=n[12],s=n[13],l=n[14],u=n[15],c=(t._ortho?2:1)*this.pixelRatio*(i[3]*a+i[7]*s+i[11]*l+i[15]*u)/e.drawingBufferHeight;this.vao.bind();for(var f=0;f<3;++f)e.lineWidth(this.lineWidth[f]*this.pixelRatio),r.capSize=this.capSize[f]*c,this.lineCount[f]&&e.drawArrays(e.LINES,this.lineOffset[f],this.lineCount[f]);this.vao.unbind()};var c=function(){for(var t=new Array(3),e=0;e<3;++e){for(var r=[],n=1;n<=2;++n)for(var i=-1;i<=1;i+=2){var a=[0,0,0];a[(n+e)%3]=i,r.push(a)}t[e]=r}return t}();function f(t,e,r,n){for(var i=c[n],a=0;a0&&((p=c.slice())[s]+=d[1][s],i.push(c[0],c[1],c[2],v[0],v[1],v[2],v[3],0,0,0,p[0],p[1],p[2],v[0],v[1],v[2],v[3],0,0,0),u(this.bounds,p),o+=2+f(i,p,v,s)))}this.lineCount[s]=o-this.lineOffset[s]}this.buffer.update(i)}},l.dispose=function(){this.shader.dispose(),this.buffer.dispose(),this.vao.dispose()}},7667:function(t,e,r){"use strict";var n=r(6832),i=r(5158),a=n(["precision highp float;\n#define GLSLIFY 1\n\nattribute vec3 position, offset;\nattribute vec4 color;\nuniform mat4 model, view, projection;\nuniform float capSize;\nvarying vec4 fragColor;\nvarying vec3 fragPosition;\n\nvoid main() {\n vec4 worldPosition = model * vec4(position, 1.0);\n worldPosition = (worldPosition / worldPosition.w) + vec4(capSize * offset, 0.0);\n gl_Position = projection * view * worldPosition;\n fragColor = color;\n fragPosition = position;\n}"]),o=n(["precision highp float;\n#define GLSLIFY 1\n\nbool outOfRange(float a, float b, float p) {\n return ((p > max(a, b)) || \n (p < min(a, b)));\n}\n\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\n return (outOfRange(a.x, b.x, p.x) ||\n outOfRange(a.y, b.y, p.y));\n}\n\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\n return (outOfRange(a.x, b.x, p.x) ||\n outOfRange(a.y, b.y, p.y) ||\n outOfRange(a.z, b.z, p.z));\n}\n\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\n return outOfRange(a.xyz, b.xyz, p.xyz);\n}\n\nuniform vec3 clipBounds[2];\nuniform float opacity;\nvarying vec3 fragPosition;\nvarying vec4 fragColor;\n\nvoid main() {\n if (\n outOfRange(clipBounds[0], clipBounds[1], fragPosition) ||\n fragColor.a * opacity == 0.\n ) discard;\n\n gl_FragColor = opacity * fragColor;\n}"]);t.exports=function(t){return i(t,a,o,null,[{name:"position",type:"vec3"},{name:"color",type:"vec4"},{name:"offset",type:"vec3"}])}},4234:function(t,e,r){"use strict";var n=r(8931);t.exports=function(t,e,r,n){i||(i=t.FRAMEBUFFER_UNSUPPORTED,a=t.FRAMEBUFFER_INCOMPLETE_ATTACHMENT,o=t.FRAMEBUFFER_INCOMPLETE_DIMENSIONS,s=t.FRAMEBUFFER_INCOMPLETE_MISSING_ATTACHMENT);var u=t.getExtension("WEBGL_draw_buffers");if(!l&&u&&function(t,e){var r=t.getParameter(e.MAX_COLOR_ATTACHMENTS_WEBGL);l=new Array(r+1);for(var n=0;n<=r;++n){for(var i=new Array(r),a=0;ac||r<0||r>c)throw new Error("gl-fbo: Parameters are too large for FBO");var f=1;if("color"in(n=n||{})){if((f=Math.max(0|n.color,0))<0)throw new Error("gl-fbo: Must specify a nonnegative number of colors");if(f>1){if(!u)throw new Error("gl-fbo: Multiple draw buffer extension not supported");if(f>t.getParameter(u.MAX_COLOR_ATTACHMENTS_WEBGL))throw new Error("gl-fbo: Context does not support "+f+" draw buffers")}}var h=t.UNSIGNED_BYTE,p=t.getExtension("OES_texture_float");if(n.float&&f>0){if(!p)throw new Error("gl-fbo: Context does not support floating point textures");h=t.FLOAT}else n.preferFloat&&f>0&&p&&(h=t.FLOAT);var v=!0;"depth"in n&&(v=!!n.depth);var g=!1;return"stencil"in n&&(g=!!n.stencil),new d(t,e,r,h,f,v,g,u)};var i,a,o,s,l=null;function u(t){return[t.getParameter(t.FRAMEBUFFER_BINDING),t.getParameter(t.RENDERBUFFER_BINDING),t.getParameter(t.TEXTURE_BINDING_2D)]}function c(t,e){t.bindFramebuffer(t.FRAMEBUFFER,e[0]),t.bindRenderbuffer(t.RENDERBUFFER,e[1]),t.bindTexture(t.TEXTURE_2D,e[2])}function f(t){switch(t){case i:throw new Error("gl-fbo: Framebuffer unsupported");case a:throw new Error("gl-fbo: Framebuffer incomplete attachment");case o:throw new Error("gl-fbo: Framebuffer incomplete dimensions");case s:throw new Error("gl-fbo: Framebuffer incomplete missing attachment");default:throw new Error("gl-fbo: Framebuffer failed for unspecified reason")}}function h(t,e,r,i,a,o){if(!i)return null;var s=n(t,e,r,a,i);return 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x=r.checkFramebufferStatus(r.FRAMEBUFFER);if(x!==r.FRAMEBUFFER_COMPLETE){for(t._destroyed=!0,r.bindFramebuffer(r.FRAMEBUFFER,null),r.deleteFramebuffer(t.handle),t.handle=null,t.depth&&(t.depth.dispose(),t.depth=null),t._depth_rb&&(r.deleteRenderbuffer(t._depth_rb),t._depth_rb=null),y=0;yi||r<0||r>i)throw new Error("gl-fbo: Can't resize FBO, invalid dimensions");t._shape[0]=e,t._shape[1]=r;for(var a=u(n),o=0;o>8*p&255;this.pickOffset=r,i.bind();var d=i.uniforms;d.viewTransform=t,d.pickOffset=e,d.shape=this.shape;var v=i.attributes;return this.positionBuffer.bind(),v.position.pointer(),this.weightBuffer.bind(),v.weight.pointer(s.UNSIGNED_BYTE,!1),this.idBuffer.bind(),v.pickId.pointer(s.UNSIGNED_BYTE,!1),s.drawArrays(s.TRIANGLES,0,o),r+this.shape[0]*this.shape[1]}}}(),f.pick=function(t,e,r){var n=this.pickOffset,i=this.shape[0]*this.shape[1];if(r=n+i)return null;var a=r-n,o=this.xData,s=this.yData;return{object:this,pointId:a,dataCoord:[o[a%this.shape[0]],s[a/this.shape[0]|0]]}},f.update=function(t){var e=(t=t||{}).shape||[0,0],r=t.x||i(e[0]),o=t.y||i(e[1]),s=t.z||new Float32Array(e[0]*e[1]),l=!1!==t.zsmooth;this.xData=r,this.yData=o;var u,c,f,p,d=t.colorLevels||[0],v=t.colorValues||[0,0,0,1],g=d.length,y=this.bounds;l?(u=y[0]=r[0],c=y[1]=o[0],f=y[2]=r[r.length-1],p=y[3]=o[o.length-1]):(u=y[0]=r[0]+(r[1]-r[0])/2,c=y[1]=o[0]+(o[1]-o[0])/2,f=y[2]=r[r.length-1]+(r[r.length-1]-r[r.length-2])/2,p=y[3]=o[o.length-1]+(o[o.length-1]-o[o.length-2])/2);var m=1/(f-u),x=1/(p-c),b=e[0],_=e[1];this.shape=[b,_];var w=(l?(b-1)*(_-1):b*_)*(h.length>>>1);this.numVertices=w;for(var T=a.mallocUint8(4*w),k=a.mallocFloat32(2*w),A=a.mallocUint8(2*w),M=a.mallocUint32(w),S=0,E=l?b-1:b,L=l?_-1:_,C=0;C max(a, b)) || \n (p < min(a, b)));\n}\n\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\n return (outOfRange(a.x, b.x, p.x) ||\n outOfRange(a.y, b.y, p.y));\n}\n\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\n return (outOfRange(a.x, b.x, p.x) ||\n outOfRange(a.y, b.y, p.y) ||\n outOfRange(a.z, b.z, p.z));\n}\n\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\n return outOfRange(a.xyz, b.xyz, p.xyz);\n}\n\nuniform vec3 clipBounds[2];\nuniform sampler2D dashTexture;\nuniform float dashScale;\nuniform float opacity;\n\nvarying vec3 worldPosition;\nvarying float pixelArcLength;\nvarying vec4 fragColor;\n\nvoid main() {\n if (\n outOfRange(clipBounds[0], clipBounds[1], worldPosition) ||\n fragColor.a * opacity == 0.\n ) discard;\n\n float dashWeight = texture2D(dashTexture, vec2(dashScale * pixelArcLength, 0)).r;\n if(dashWeight < 0.5) {\n discard;\n }\n gl_FragColor = fragColor * opacity;\n}\n"]),s=n(["precision highp float;\n#define GLSLIFY 1\n\n#define FLOAT_MAX 1.70141184e38\n#define FLOAT_MIN 1.17549435e-38\n\n// https://github.com/mikolalysenko/glsl-read-float/blob/master/index.glsl\nvec4 packFloat(float v) {\n float av = abs(v);\n\n //Handle special cases\n if(av < FLOAT_MIN) {\n return vec4(0.0, 0.0, 0.0, 0.0);\n } else if(v > FLOAT_MAX) {\n return vec4(127.0, 128.0, 0.0, 0.0) / 255.0;\n } else if(v < -FLOAT_MAX) {\n return vec4(255.0, 128.0, 0.0, 0.0) / 255.0;\n }\n\n vec4 c = vec4(0,0,0,0);\n\n //Compute exponent and mantissa\n float e = floor(log2(av));\n float m = av * pow(2.0, -e) - 1.0;\n\n //Unpack mantissa\n c[1] = floor(128.0 * m);\n m -= c[1] / 128.0;\n c[2] = floor(32768.0 * m);\n m -= c[2] / 32768.0;\n c[3] = floor(8388608.0 * m);\n\n //Unpack exponent\n float ebias = e + 127.0;\n c[0] = floor(ebias / 2.0);\n ebias -= c[0] * 2.0;\n c[1] += floor(ebias) * 128.0;\n\n //Unpack sign bit\n c[0] += 128.0 * step(0.0, -v);\n\n //Scale back to range\n return c / 255.0;\n}\n\nbool outOfRange(float a, float b, float p) {\n return ((p > max(a, b)) || \n (p < min(a, b)));\n}\n\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\n return (outOfRange(a.x, b.x, p.x) ||\n outOfRange(a.y, b.y, p.y));\n}\n\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\n return (outOfRange(a.x, b.x, p.x) ||\n outOfRange(a.y, b.y, p.y) ||\n outOfRange(a.z, b.z, p.z));\n}\n\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\n return outOfRange(a.xyz, b.xyz, p.xyz);\n}\n\nuniform float pickId;\nuniform vec3 clipBounds[2];\n\nvarying vec3 worldPosition;\nvarying float pixelArcLength;\nvarying vec4 fragColor;\n\nvoid main() {\n if (outOfRange(clipBounds[0], clipBounds[1], worldPosition)) discard;\n\n gl_FragColor = vec4(pickId/255.0, packFloat(pixelArcLength).xyz);\n}"]),l=[{name:"position",type:"vec3"},{name:"nextPosition",type:"vec3"},{name:"arcLength",type:"float"},{name:"lineWidth",type:"float"},{name:"color",type:"vec4"}];e.createShader=function(t){return i(t,a,o,null,l)},e.createPickShader=function(t){return i(t,a,s,null,l)}},6086:function(t,e,r){"use strict";t.exports=function(t){var e=t.gl||t.scene&&t.scene.gl,r=f(e);r.attributes.position.location=0,r.attributes.nextPosition.location=1,r.attributes.arcLength.location=2,r.attributes.lineWidth.location=3,r.attributes.color.location=4;var o=h(e);o.attributes.position.location=0,o.attributes.nextPosition.location=1,o.attributes.arcLength.location=2,o.attributes.lineWidth.location=3,o.attributes.color.location=4;for(var s=n(e),l=i(e,[{buffer:s,size:3,offset:0,stride:48},{buffer:s,size:3,offset:12,stride:48},{buffer:s,size:1,offset:24,stride:48},{buffer:s,size:1,offset:28,stride:48},{buffer:s,size:4,offset:32,stride:48}]),c=u(new Array(1024),[256,1,4]),p=0;p<1024;++p)c.data[p]=255;var d=a(e,c);d.wrap=e.REPEAT;var v=new y(e,r,o,s,l,d);return v.update(t),v};var n=r(5827),i=r(2944),a=r(8931),o=new Uint8Array(4),s=new Float32Array(o.buffer),l=r(5070),u=r(5050),c=r(248),f=c.createShader,h=c.createPickShader,p=[1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1];function d(t,e){for(var r=0,n=0;n<3;++n){var i=t[n]-e[n];r+=i*i}return Math.sqrt(r)}function v(t){for(var e=[[-1e6,-1e6,-1e6],[1e6,1e6,1e6]],r=0;r<3;++r)e[0][r]=Math.max(t[0][r],e[0][r]),e[1][r]=Math.min(t[1][r],e[1][r]);return e}function g(t,e,r,n){this.arcLength=t,this.position=e,this.index=r,this.dataCoordinate=n}function y(t,e,r,n,i,a){this.gl=t,this.shader=e,this.pickShader=r,this.buffer=n,this.vao=i,this.clipBounds=[[-1/0,-1/0,-1/0],[1/0,1/0,1/0]],this.points=[],this.arcLength=[],this.vertexCount=0,this.bounds=[[0,0,0],[0,0,0]],this.pickId=0,this.lineWidth=1,this.texture=a,this.dashScale=1,this.opacity=1,this.hasAlpha=!1,this.dirty=!0,this.pixelRatio=1}var m=y.prototype;m.isTransparent=function(){return this.hasAlpha},m.isOpaque=function(){return!this.hasAlpha},m.pickSlots=1,m.setPickBase=function(t){this.pickId=t},m.drawTransparent=m.draw=function(t){if(this.vertexCount){var e=this.gl,r=this.shader,n=this.vao;r.bind(),r.uniforms={model:t.model||p,view:t.view||p,projection:t.projection||p,clipBounds:v(this.clipBounds),dashTexture:this.texture.bind(),dashScale:this.dashScale/this.arcLength[this.arcLength.length-1],opacity:this.opacity,screenShape:[e.drawingBufferWidth,e.drawingBufferHeight],pixelRatio:this.pixelRatio},n.bind(),n.draw(e.TRIANGLE_STRIP,this.vertexCount),n.unbind()}},m.drawPick=function(t){if(this.vertexCount){var e=this.gl,r=this.pickShader,n=this.vao;r.bind(),r.uniforms={model:t.model||p,view:t.view||p,projection:t.projection||p,pickId:this.pickId,clipBounds:v(this.clipBounds),screenShape:[e.drawingBufferWidth,e.drawingBufferHeight],pixelRatio:this.pixelRatio},n.bind(),n.draw(e.TRIANGLE_STRIP,this.vertexCount),n.unbind()}},m.update=function(t){var e,r;this.dirty=!0;var n=!!t.connectGaps;"dashScale"in t&&(this.dashScale=t.dashScale),this.hasAlpha=!1,"opacity"in t&&(this.opacity=+t.opacity,this.opacity<1&&(this.hasAlpha=!0));var i=[],a=[],o=[],s=0,c=0,f=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]],h=t.position||t.positions;if(h){var p=t.color||t.colors||[0,0,0,1],v=t.lineWidth||1,g=!1;t:for(e=1;e0){for(var w=0;w<24;++w)i.push(i[i.length-12]);c+=2,g=!0}continue t}f[0][r]=Math.min(f[0][r],b[r],_[r]),f[1][r]=Math.max(f[1][r],b[r],_[r])}Array.isArray(p[0])?(y=p.length>e-1?p[e-1]:p.length>0?p[p.length-1]:[0,0,0,1],m=p.length>e?p[e]:p.length>0?p[p.length-1]:[0,0,0,1]):y=m=p,3===y.length&&(y=[y[0],y[1],y[2],1]),3===m.length&&(m=[m[0],m[1],m[2],1]),!this.hasAlpha&&y[3]<1&&(this.hasAlpha=!0),x=Array.isArray(v)?v.length>e-1?v[e-1]:v.length>0?v[v.length-1]:[0,0,0,1]:v;var T=s;if(s+=d(b,_),g){for(r=0;r<2;++r)i.push(b[0],b[1],b[2],_[0],_[1],_[2],T,x,y[0],y[1],y[2],y[3]);c+=2,g=!1}i.push(b[0],b[1],b[2],_[0],_[1],_[2],T,x,y[0],y[1],y[2],y[3],b[0],b[1],b[2],_[0],_[1],_[2],T,-x,y[0],y[1],y[2],y[3],_[0],_[1],_[2],b[0],b[1],b[2],s,-x,m[0],m[1],m[2],m[3],_[0],_[1],_[2],b[0],b[1],b[2],s,x,m[0],m[1],m[2],m[3]),c+=4}}if(this.buffer.update(i),a.push(s),o.push(h[h.length-1].slice()),this.bounds=f,this.vertexCount=c,this.points=o,this.arcLength=a,"dashes"in t){var k=t.dashes.slice();for(k.unshift(0),e=1;e1.0001)return null;y+=g[f]}return Math.abs(y-1)>.001?null:[h,s(t,g),g]}},2056:function(t,e,r){var n=r(6832),i=n(["precision highp float;\n#define GLSLIFY 1\n\nattribute vec3 position, normal;\nattribute vec4 color;\nattribute vec2 uv;\n\nuniform mat4 model\n , view\n , projection\n , inverseModel;\nuniform vec3 eyePosition\n , lightPosition;\n\nvarying vec3 f_normal\n , f_lightDirection\n , f_eyeDirection\n , f_data;\nvarying vec4 f_color;\nvarying vec2 f_uv;\n\nvec4 project(vec3 p) {\n return projection * view * model * vec4(p, 1.0);\n}\n\nvoid main() {\n gl_Position = project(position);\n\n //Lighting geometry parameters\n vec4 cameraCoordinate = view * vec4(position , 1.0);\n cameraCoordinate.xyz /= cameraCoordinate.w;\n f_lightDirection = lightPosition - cameraCoordinate.xyz;\n f_eyeDirection = eyePosition - cameraCoordinate.xyz;\n f_normal = normalize((vec4(normal, 0.0) * inverseModel).xyz);\n\n f_color = color;\n f_data = position;\n f_uv = uv;\n}\n"]),a=n(["#extension GL_OES_standard_derivatives : enable\n\nprecision highp float;\n#define GLSLIFY 1\n\nfloat beckmannDistribution(float x, float roughness) {\n float NdotH = max(x, 0.0001);\n float cos2Alpha = NdotH * NdotH;\n float tan2Alpha = (cos2Alpha - 1.0) / cos2Alpha;\n float roughness2 = roughness * roughness;\n float denom = 3.141592653589793 * roughness2 * cos2Alpha * cos2Alpha;\n return exp(tan2Alpha / roughness2) / denom;\n}\n\nfloat cookTorranceSpecular(\n vec3 lightDirection,\n vec3 viewDirection,\n vec3 surfaceNormal,\n float roughness,\n float fresnel) {\n\n float VdotN = max(dot(viewDirection, surfaceNormal), 0.0);\n float LdotN = max(dot(lightDirection, surfaceNormal), 0.0);\n\n //Half angle vector\n vec3 H = normalize(lightDirection + viewDirection);\n\n //Geometric term\n float NdotH = max(dot(surfaceNormal, H), 0.0);\n float VdotH = max(dot(viewDirection, H), 0.000001);\n float LdotH = max(dot(lightDirection, H), 0.000001);\n float G1 = (2.0 * NdotH * VdotN) / VdotH;\n float G2 = (2.0 * NdotH * LdotN) / LdotH;\n float G = min(1.0, min(G1, G2));\n \n //Distribution term\n float D = beckmannDistribution(NdotH, roughness);\n\n //Fresnel term\n float F = pow(1.0 - VdotN, fresnel);\n\n //Multiply terms and done\n return G * F * D / max(3.14159265 * VdotN, 0.000001);\n}\n\n//#pragma glslify: beckmann = require(glsl-specular-beckmann) // used in gl-surface3d\n\nbool outOfRange(float a, float b, float p) {\n return ((p > max(a, b)) || \n (p < min(a, b)));\n}\n\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\n return (outOfRange(a.x, b.x, p.x) ||\n outOfRange(a.y, b.y, p.y));\n}\n\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\n return (outOfRange(a.x, b.x, p.x) ||\n outOfRange(a.y, b.y, p.y) ||\n outOfRange(a.z, b.z, p.z));\n}\n\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\n return outOfRange(a.xyz, b.xyz, p.xyz);\n}\n\nuniform vec3 clipBounds[2];\nuniform float roughness\n , fresnel\n , kambient\n , kdiffuse\n , kspecular;\nuniform sampler2D texture;\n\nvarying vec3 f_normal\n , f_lightDirection\n , f_eyeDirection\n , f_data;\nvarying vec4 f_color;\nvarying vec2 f_uv;\n\nvoid main() {\n if (f_color.a == 0.0 ||\n outOfRange(clipBounds[0], clipBounds[1], f_data)\n ) discard;\n\n vec3 N = normalize(f_normal);\n vec3 L = normalize(f_lightDirection);\n vec3 V = normalize(f_eyeDirection);\n\n if(gl_FrontFacing) {\n N = -N;\n }\n\n float specular = min(1.0, max(0.0, cookTorranceSpecular(L, V, N, roughness, fresnel)));\n //float specular = max(0.0, beckmann(L, V, N, roughness)); // used in gl-surface3d\n\n float diffuse = min(kambient + kdiffuse * max(dot(N, L), 0.0), 1.0);\n\n vec4 surfaceColor = vec4(f_color.rgb, 1.0) * texture2D(texture, f_uv);\n vec4 litColor = surfaceColor.a * vec4(diffuse * surfaceColor.rgb + kspecular * vec3(1,1,1) * specular, 1.0);\n\n gl_FragColor = litColor * f_color.a;\n}\n"]),o=n(["precision highp float;\n#define GLSLIFY 1\n\nattribute vec3 position;\nattribute vec4 color;\nattribute vec2 uv;\n\nuniform mat4 model, view, projection;\n\nvarying vec4 f_color;\nvarying vec3 f_data;\nvarying vec2 f_uv;\n\nvoid main() {\n gl_Position = projection * view * model * vec4(position, 1.0);\n f_color = color;\n f_data = position;\n f_uv = uv;\n}"]),s=n(["precision highp float;\n#define GLSLIFY 1\n\nbool outOfRange(float a, float b, float p) {\n return ((p > max(a, b)) || \n (p < min(a, b)));\n}\n\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\n return (outOfRange(a.x, b.x, p.x) ||\n outOfRange(a.y, b.y, p.y));\n}\n\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\n return (outOfRange(a.x, b.x, p.x) ||\n outOfRange(a.y, b.y, p.y) ||\n outOfRange(a.z, b.z, p.z));\n}\n\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\n return outOfRange(a.xyz, b.xyz, p.xyz);\n}\n\nuniform vec3 clipBounds[2];\nuniform sampler2D texture;\nuniform float opacity;\n\nvarying vec4 f_color;\nvarying vec3 f_data;\nvarying vec2 f_uv;\n\nvoid main() {\n if (outOfRange(clipBounds[0], clipBounds[1], f_data)) discard;\n\n gl_FragColor = f_color * texture2D(texture, f_uv) * opacity;\n}"]),l=n(["precision highp float;\n#define GLSLIFY 1\n\nbool outOfRange(float a, float b, float p) {\n return ((p > max(a, b)) || \n (p < min(a, b)));\n}\n\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\n return (outOfRange(a.x, b.x, p.x) ||\n outOfRange(a.y, b.y, p.y));\n}\n\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\n return (outOfRange(a.x, b.x, p.x) ||\n outOfRange(a.y, b.y, p.y) ||\n outOfRange(a.z, b.z, p.z));\n}\n\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\n return outOfRange(a.xyz, b.xyz, p.xyz);\n}\n\nattribute vec3 position;\nattribute vec4 color;\nattribute vec2 uv;\nattribute float pointSize;\n\nuniform mat4 model, view, projection;\nuniform vec3 clipBounds[2];\n\nvarying vec4 f_color;\nvarying vec2 f_uv;\n\nvoid main() {\n if (outOfRange(clipBounds[0], clipBounds[1], position)) {\n\n gl_Position = vec4(0.0, 0.0 ,0.0 ,0.0);\n } else {\n gl_Position = projection * view * model * vec4(position, 1.0);\n }\n gl_PointSize = pointSize;\n f_color = color;\n f_uv = uv;\n}"]),u=n(["precision highp float;\n#define GLSLIFY 1\n\nuniform sampler2D texture;\nuniform float opacity;\n\nvarying vec4 f_color;\nvarying vec2 f_uv;\n\nvoid main() {\n vec2 pointR = gl_PointCoord.xy - vec2(0.5, 0.5);\n if(dot(pointR, pointR) > 0.25) {\n discard;\n }\n gl_FragColor = f_color * texture2D(texture, f_uv) * opacity;\n}"]),c=n(["precision highp float;\n#define GLSLIFY 1\n\nattribute vec3 position;\nattribute vec4 id;\n\nuniform mat4 model, view, projection;\n\nvarying vec3 f_position;\nvarying vec4 f_id;\n\nvoid main() {\n gl_Position = projection * view * model * vec4(position, 1.0);\n f_id = id;\n f_position = position;\n}"]),f=n(["precision highp float;\n#define GLSLIFY 1\n\nbool outOfRange(float a, float b, float p) {\n return ((p > max(a, b)) || \n (p < min(a, b)));\n}\n\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\n return (outOfRange(a.x, b.x, p.x) ||\n outOfRange(a.y, b.y, p.y));\n}\n\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\n return (outOfRange(a.x, b.x, p.x) ||\n outOfRange(a.y, b.y, p.y) ||\n outOfRange(a.z, b.z, p.z));\n}\n\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\n return outOfRange(a.xyz, b.xyz, p.xyz);\n}\n\nuniform vec3 clipBounds[2];\nuniform float pickId;\n\nvarying vec3 f_position;\nvarying vec4 f_id;\n\nvoid main() {\n if (outOfRange(clipBounds[0], clipBounds[1], f_position)) discard;\n\n gl_FragColor = vec4(pickId, f_id.xyz);\n}"]),h=n(["precision highp float;\n#define GLSLIFY 1\n\nbool outOfRange(float a, float b, float p) {\n return ((p > max(a, b)) || \n (p < min(a, b)));\n}\n\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\n return (outOfRange(a.x, b.x, p.x) ||\n outOfRange(a.y, b.y, p.y));\n}\n\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\n return (outOfRange(a.x, b.x, p.x) ||\n outOfRange(a.y, b.y, p.y) ||\n outOfRange(a.z, b.z, p.z));\n}\n\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\n return outOfRange(a.xyz, b.xyz, p.xyz);\n}\n\nattribute vec3 position;\nattribute float pointSize;\nattribute vec4 id;\n\nuniform mat4 model, view, projection;\nuniform vec3 clipBounds[2];\n\nvarying vec3 f_position;\nvarying vec4 f_id;\n\nvoid main() {\n if (outOfRange(clipBounds[0], clipBounds[1], position)) {\n\n gl_Position = vec4(0.0, 0.0, 0.0, 0.0);\n } else {\n gl_Position = projection * view * model * vec4(position, 1.0);\n gl_PointSize = pointSize;\n }\n f_id = id;\n f_position = position;\n}"]),p=n(["precision highp float;\n#define GLSLIFY 1\n\nattribute vec3 position;\n\nuniform mat4 model, view, projection;\n\nvoid main() {\n gl_Position = projection * view * model * vec4(position, 1.0);\n}"]),d=n(["precision highp float;\n#define GLSLIFY 1\n\nuniform vec3 contourColor;\n\nvoid main() {\n gl_FragColor = vec4(contourColor, 1.0);\n}\n"]);e.meshShader={vertex:i,fragment:a,attributes:[{name:"position",type:"vec3"},{name:"normal",type:"vec3"},{name:"color",type:"vec4"},{name:"uv",type:"vec2"}]},e.wireShader={vertex:o,fragment:s,attributes:[{name:"position",type:"vec3"},{name:"color",type:"vec4"},{name:"uv",type:"vec2"}]},e.pointShader={vertex:l,fragment:u,attributes:[{name:"position",type:"vec3"},{name:"color",type:"vec4"},{name:"uv",type:"vec2"},{name:"pointSize",type:"float"}]},e.pickShader={vertex:c,fragment:f,attributes:[{name:"position",type:"vec3"},{name:"id",type:"vec4"}]},e.pointPickShader={vertex:h,fragment:f,attributes:[{name:"position",type:"vec3"},{name:"pointSize",type:"float"},{name:"id",type:"vec4"}]},e.contourShader={vertex:p,fragment:d,attributes:[{name:"position",type:"vec3"}]}},8116:function(t,e,r){"use strict";var n=r(5158),i=r(5827),a=r(2944),o=r(8931),s=r(115),l=r(104),u=r(7437),c=r(5050),f=r(9156),h=r(7212),p=r(5306),d=r(2056),v=r(4340),g=d.meshShader,y=d.wireShader,m=d.pointShader,x=d.pickShader,b=d.pointPickShader,_=d.contourShader,w=[1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1];function T(t,e,r,n,i,a,o,s,l,u,c,f,h,p,d,v,g,y,m,x,b,_,T,k,A,M,S){this.gl=t,this.pixelRatio=1,this.cells=[],this.positions=[],this.intensity=[],this.texture=e,this.dirty=!0,this.triShader=r,this.lineShader=n,this.pointShader=i,this.pickShader=a,this.pointPickShader=o,this.contourShader=s,this.trianglePositions=l,this.triangleColors=c,this.triangleNormals=h,this.triangleUVs=f,this.triangleIds=u,this.triangleVAO=p,this.triangleCount=0,this.lineWidth=1,this.edgePositions=d,this.edgeColors=g,this.edgeUVs=y,this.edgeIds=v,this.edgeVAO=m,this.edgeCount=0,this.pointPositions=x,this.pointColors=_,this.pointUVs=T,this.pointSizes=k,this.pointIds=b,this.pointVAO=A,this.pointCount=0,this.contourLineWidth=1,this.contourPositions=M,this.contourVAO=S,this.contourCount=0,this.contourColor=[0,0,0],this.contourEnable=!0,this.pickVertex=!0,this.pickId=1,this.bounds=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]],this.clipBounds=[[-1/0,-1/0,-1/0],[1/0,1/0,1/0]],this.lightPosition=[1e5,1e5,0],this.ambientLight=.8,this.diffuseLight=.8,this.specularLight=2,this.roughness=.5,this.fresnel=1.5,this.opacity=1,this.hasAlpha=!1,this.opacityscale=!1,this._model=w,this._view=w,this._projection=w,this._resolution=[1,1]}var k=T.prototype;function A(t,e){if(!e)return 1;if(!e.length)return 1;for(var r=0;rt&&r>0){var n=(e[r][0]-t)/(e[r][0]-e[r-1][0]);return e[r][1]*(1-n)+n*e[r-1][1]}}return 1}function M(t){var e=n(t,m.vertex,m.fragment);return e.attributes.position.location=0,e.attributes.color.location=2,e.attributes.uv.location=3,e.attributes.pointSize.location=4,e}function S(t){var e=n(t,x.vertex,x.fragment);return e.attributes.position.location=0,e.attributes.id.location=1,e}function E(t){var e=n(t,b.vertex,b.fragment);return e.attributes.position.location=0,e.attributes.id.location=1,e.attributes.pointSize.location=4,e}function L(t){var e=n(t,_.vertex,_.fragment);return e.attributes.position.location=0,e}k.isOpaque=function(){return!this.hasAlpha},k.isTransparent=function(){return this.hasAlpha},k.pickSlots=1,k.setPickBase=function(t){this.pickId=t},k.highlight=function(t){if(t&&this.contourEnable){for(var e=h(this.cells,this.intensity,t.intensity),r=e.cells,n=e.vertexIds,i=e.vertexWeights,a=r.length,o=p.mallocFloat32(6*a),s=0,l=0;l0&&((f=this.triShader).bind(),f.uniforms=s,this.triangleVAO.bind(),e.drawArrays(e.TRIANGLES,0,3*this.triangleCount),this.triangleVAO.unbind()),this.edgeCount>0&&this.lineWidth>0&&((f=this.lineShader).bind(),f.uniforms=s,this.edgeVAO.bind(),e.lineWidth(this.lineWidth*this.pixelRatio),e.drawArrays(e.LINES,0,2*this.edgeCount),this.edgeVAO.unbind()),this.pointCount>0&&((f=this.pointShader).bind(),f.uniforms=s,this.pointVAO.bind(),e.drawArrays(e.POINTS,0,this.pointCount),this.pointVAO.unbind()),this.contourEnable&&this.contourCount>0&&this.contourLineWidth>0&&((f=this.contourShader).bind(),f.uniforms=s,this.contourVAO.bind(),e.drawArrays(e.LINES,0,this.contourCount),this.contourVAO.unbind())},k.drawPick=function(t){t=t||{};for(var e=this.gl,r=t.model||w,n=t.view||w,i=t.projection||w,a=[[-1e6,-1e6,-1e6],[1e6,1e6,1e6]],o=0;o<3;++o)a[0][o]=Math.max(a[0][o],this.clipBounds[0][o]),a[1][o]=Math.min(a[1][o],this.clipBounds[1][o]);this._model=[].slice.call(r),this._view=[].slice.call(n),this._projection=[].slice.call(i),this._resolution=[e.drawingBufferWidth,e.drawingBufferHeight];var s,l={model:r,view:n,projection:i,clipBounds:a,pickId:this.pickId/255};(s=this.pickShader).bind(),s.uniforms=l,this.triangleCount>0&&(this.triangleVAO.bind(),e.drawArrays(e.TRIANGLES,0,3*this.triangleCount),this.triangleVAO.unbind()),this.edgeCount>0&&(this.edgeVAO.bind(),e.lineWidth(this.lineWidth*this.pixelRatio),e.drawArrays(e.LINES,0,2*this.edgeCount),this.edgeVAO.unbind()),this.pointCount>0&&((s=this.pointPickShader).bind(),s.uniforms=l,this.pointVAO.bind(),e.drawArrays(e.POINTS,0,this.pointCount),this.pointVAO.unbind())},k.pick=function(t){if(!t)return null;if(t.id!==this.pickId)return null;for(var e=t.value[0]+256*t.value[1]+65536*t.value[2],r=this.cells[e],n=this.positions,i=new Array(r.length),a=0;ai[k]&&(r.uniforms.dataAxis=u,r.uniforms.screenOffset=c,r.uniforms.color=g[t],r.uniforms.angle=y[t],a.drawArrays(a.TRIANGLES,i[k],i[A]-i[k]))),m[t]&&T&&(c[1^t]-=M*p*x[t],r.uniforms.dataAxis=f,r.uniforms.screenOffset=c,r.uniforms.color=b[t],r.uniforms.angle=_[t],a.drawArrays(a.TRIANGLES,w,T)),c[1^t]=M*s[2+(1^t)]-1,d[t+2]&&(c[1^t]+=M*p*v[t+2],ki[k]&&(r.uniforms.dataAxis=u,r.uniforms.screenOffset=c,r.uniforms.color=g[t+2],r.uniforms.angle=y[t+2],a.drawArrays(a.TRIANGLES,i[k],i[A]-i[k]))),m[t+2]&&T&&(c[1^t]+=M*p*x[t+2],r.uniforms.dataAxis=f,r.uniforms.screenOffset=c,r.uniforms.color=b[t+2],r.uniforms.angle=_[t+2],a.drawArrays(a.TRIANGLES,w,T))}),v.drawTitle=function(){var t=[0,0],e=[0,0];return function(){var r=this.plot,n=this.shader,i=r.gl,a=r.screenBox,o=r.titleCenter,s=r.titleAngle,l=r.titleColor,u=r.pixelRatio;if(this.titleCount){for(var c=0;c<2;++c)e[c]=2*(o[c]*u-a[c])/(a[2+c]-a[c])-1;n.bind(),n.uniforms.dataAxis=t,n.uniforms.screenOffset=e,n.uniforms.angle=s,n.uniforms.color=l,i.drawArrays(i.TRIANGLES,this.titleOffset,this.titleCount)}}}(),v.bind=(h=[0,0],p=[0,0],d=[0,0],function(){var t=this.plot,e=this.shader,r=t._tickBounds,n=t.dataBox,i=t.screenBox,a=t.viewBox;e.bind();for(var o=0;o<2;++o){var s=r[o],l=r[o+2]-s,u=.5*(n[o+2]+n[o]),c=n[o+2]-n[o],f=a[o],v=a[o+2]-f,g=i[o],y=i[o+2]-g;p[o]=2*l/c*v/y,h[o]=2*(s-u)/c*v/y}d[1]=2*t.pixelRatio/(i[3]-i[1]),d[0]=d[1]*(i[3]-i[1])/(i[2]-i[0]),e.uniforms.dataScale=p,e.uniforms.dataShift=h,e.uniforms.textScale=d,this.vbo.bind(),e.attributes.textCoordinate.pointer()}),v.update=function(t){var e,r,n,i,o,s=[],l=t.ticks,u=t.bounds;for(o=0;o<2;++o){var c=[Math.floor(s.length/3)],f=[-1/0],h=l[o];for(e=0;e=0){var v=e[d]-n[d]*(e[d+2]-e[d])/(n[d+2]-n[d]);0===d?o.drawLine(v,e[1],v,e[3],p[d],h[d]):o.drawLine(e[0],v,e[2],v,p[d],h[d])}}for(d=0;d=0;--t)this.objects[t].dispose();for(this.objects.length=0,t=this.overlays.length-1;t>=0;--t)this.overlays[t].dispose();this.overlays.length=0,this.gl=null},u.addObject=function(t){this.objects.indexOf(t)<0&&(this.objects.push(t),this.setDirty())},u.removeObject=function(t){for(var e=this.objects,r=0;rMath.abs(e))u.rotate(a,0,0,-t*r*Math.PI*d.rotateSpeed/window.innerWidth);else if(!d._ortho){var o=-d.zoomSpeed*i*e/window.innerHeight*(a-u.lastT())/20;u.pan(a,0,0,f*(Math.exp(o)-1))}}}),!0)},d.enableMouseListeners(),d};var n=r(8161),i=r(1152),a=r(6145),o=r(6475),s=r(2565),l=r(5233)},8245:function(t,e,r){var n=r(6832),i=r(5158),a=n(["precision mediump float;\n#define GLSLIFY 1\nattribute vec2 position;\nvarying vec2 uv;\nvoid main() {\n uv = position;\n gl_Position = vec4(position, 0, 1);\n}"]),o=n(["precision mediump float;\n#define GLSLIFY 1\n\nuniform sampler2D accumBuffer;\nvarying vec2 uv;\n\nvoid main() {\n vec4 accum = texture2D(accumBuffer, 0.5 * (uv + 1.0));\n gl_FragColor = min(vec4(1,1,1,1), accum);\n}"]);t.exports=function(t){return i(t,a,o,null,[{name:"position",type:"vec2"}])}},1059:function(t,e,r){"use strict";var n=r(4296),i=r(7453),a=r(2771),o=r(6496),s=r(2611),l=r(4234),u=r(8126),c=r(6145),f=r(1120),h=r(5268),p=r(8245),d=r(2321)({tablet:!0,featureDetect:!0});function v(){this.mouse=[-1,-1],this.screen=null,this.distance=1/0,this.index=null,this.dataCoordinate=null,this.dataPosition=null,this.object=null,this.data=null}function g(t){var e=Math.round(Math.log(Math.abs(t))/Math.log(10));if(e<0){var r=Math.round(Math.pow(10,-e));return Math.ceil(t*r)/r}return e>0?(r=Math.round(Math.pow(10,e)),Math.ceil(t/r)*r):Math.ceil(t)}function y(t){return"boolean"!=typeof t||t}t.exports={createScene:function(t){(t=t||{}).camera=t.camera||{};var e=t.canvas;e||(e=document.createElement("canvas"),t.container?t.container.appendChild(e):document.body.appendChild(e));var r=t.gl;if(r||(t.glOptions&&(d=!!t.glOptions.preserveDrawingBuffer),r=function(t,e){var r=null;try{(r=t.getContext("webgl",e))||(r=t.getContext("experimental-webgl",e))}catch(t){return null}return r}(e,t.glOptions||{premultipliedAlpha:!0,antialias:!0,preserveDrawingBuffer:d})),!r)throw new Error("webgl not supported");var m=t.bounds||[[-10,-10,-10],[10,10,10]],x=new v,b=l(r,r.drawingBufferWidth,r.drawingBufferHeight,{preferFloat:!d}),_=p(r),w=t.cameraObject&&!0===t.cameraObject._ortho||t.camera.projection&&"orthographic"===t.camera.projection.type||!1,T={eye:t.camera.eye||[2,0,0],center:t.camera.center||[0,0,0],up:t.camera.up||[0,1,0],zoomMin:t.camera.zoomMax||.1,zoomMax:t.camera.zoomMin||100,mode:t.camera.mode||"turntable",_ortho:w},k=t.axes||{},A=i(r,k);A.enable=!k.disable;var M=t.spikes||{},S=o(r,M),E=[],L=[],C=[],P=[],O=!0,I=!0,D={view:null,projection:new Array(16),model:new Array(16),_ortho:!1},z=(I=!0,[r.drawingBufferWidth,r.drawingBufferHeight]),R=t.cameraObject||n(e,T),F={gl:r,contextLost:!1,pixelRatio:t.pixelRatio||1,canvas:e,selection:x,camera:R,axes:A,axesPixels:null,spikes:S,bounds:m,objects:E,shape:z,aspect:t.aspectRatio||[1,1,1],pickRadius:t.pickRadius||10,zNear:t.zNear||.01,zFar:t.zFar||1e3,fovy:t.fovy||Math.PI/4,clearColor:t.clearColor||[0,0,0,0],autoResize:y(t.autoResize),autoBounds:y(t.autoBounds),autoScale:!!t.autoScale,autoCenter:y(t.autoCenter),clipToBounds:y(t.clipToBounds),snapToData:!!t.snapToData,onselect:t.onselect||null,onrender:t.onrender||null,onclick:t.onclick||null,cameraParams:D,oncontextloss:null,mouseListener:null,_stopped:!1,getAspectratio:function(){return{x:this.aspect[0],y:this.aspect[1],z:this.aspect[2]}},setAspectratio:function(t){this.aspect[0]=t.x,this.aspect[1]=t.y,this.aspect[2]=t.z,I=!0},setBounds:function(t,e){this.bounds[0][t]=e.min,this.bounds[1][t]=e.max},setClearColor:function(t){this.clearColor=t},clearRGBA:function(){this.gl.clearColor(this.clearColor[0],this.clearColor[1],this.clearColor[2],this.clearColor[3]),this.gl.clear(this.gl.COLOR_BUFFER_BIT|this.gl.DEPTH_BUFFER_BIT)}},B=[r.drawingBufferWidth/F.pixelRatio|0,r.drawingBufferHeight/F.pixelRatio|0];function N(){if(!F._stopped&&F.autoResize){var t=e.parentNode,r=1,n=1;t&&t!==document.body?(r=t.clientWidth,n=t.clientHeight):(r=window.innerWidth,n=window.innerHeight);var i=0|Math.ceil(r*F.pixelRatio),a=0|Math.ceil(n*F.pixelRatio);if(i!==e.width||a!==e.height){e.width=i,e.height=a;var o=e.style;o.position=o.position||"absolute",o.left="0px",o.top="0px",o.width=r+"px",o.height=n+"px",O=!0}}}function j(){for(var t=E.length,e=P.length,n=0;n0&&0===C[e-1];)C.pop(),P.pop().dispose()}function U(){if(F.contextLost)return!0;r.isContextLost()&&(F.contextLost=!0,F.mouseListener.enabled=!1,F.selection.object=null,F.oncontextloss&&F.oncontextloss())}F.autoResize&&N(),window.addEventListener("resize",N),F.update=function(t){F._stopped||(t=t||{},O=!0,I=!0)},F.add=function(t){F._stopped||(t.axes=A,E.push(t),L.push(-1),O=!0,I=!0,j())},F.remove=function(t){if(!F._stopped){var e=E.indexOf(t);e<0||(E.splice(e,1),L.pop(),O=!0,I=!0,j())}},F.dispose=function(){if(!F._stopped&&(F._stopped=!0,window.removeEventListener("resize",N),e.removeEventListener("webglcontextlost",U),F.mouseListener.enabled=!1,!F.contextLost)){A.dispose(),S.dispose();for(var t=0;tx.distance)continue;for(var u=0;u 1.0) {\n discard;\n }\n baseColor = mix(borderColor, color, step(radius, centerFraction));\n gl_FragColor = vec4(baseColor.rgb * baseColor.a, baseColor.a);\n }\n}\n"]),e.pickVertex=n(["precision mediump float;\n#define GLSLIFY 1\n\nattribute vec2 position;\nattribute vec4 pickId;\n\nuniform mat3 matrix;\nuniform float pointSize;\nuniform vec4 pickOffset;\n\nvarying vec4 fragId;\n\nvoid main() {\n vec3 hgPosition = matrix * vec3(position, 1);\n gl_Position = vec4(hgPosition.xy, 0, hgPosition.z);\n gl_PointSize = pointSize;\n\n vec4 id = pickId + pickOffset;\n id.y += floor(id.x / 256.0);\n id.x -= floor(id.x / 256.0) * 256.0;\n\n id.z += floor(id.y / 256.0);\n id.y -= floor(id.y / 256.0) * 256.0;\n\n id.w += floor(id.z / 256.0);\n id.z -= floor(id.z / 256.0) * 256.0;\n\n fragId = id;\n}\n"]),e.pickFragment=n(["precision mediump float;\n#define GLSLIFY 1\n\nvarying vec4 fragId;\n\nvoid main() {\n float radius = length(2.0 * gl_PointCoord.xy - 1.0);\n if(radius > 1.0) {\n discard;\n }\n gl_FragColor = fragId / 255.0;\n}\n"])},8271:function(t,e,r){"use strict";var n=r(5158),i=r(5827),a=r(5306),o=r(8023);function s(t,e,r,n,i){this.plot=t,this.offsetBuffer=e,this.pickBuffer=r,this.shader=n,this.pickShader=i,this.sizeMin=.5,this.sizeMinCap=2,this.sizeMax=20,this.areaRatio=1,this.pointCount=0,this.color=[1,0,0,1],this.borderColor=[0,0,0,1],this.blend=!1,this.pickOffset=0,this.points=null}t.exports=function(t,e){var r=t.gl,a=new s(t,i(r),i(r),n(r,o.pointVertex,o.pointFragment),n(r,o.pickVertex,o.pickFragment));return a.update(e),t.addObject(a),a};var l,u,c=s.prototype;c.dispose=function(){this.shader.dispose(),this.pickShader.dispose(),this.offsetBuffer.dispose(),this.pickBuffer.dispose(),this.plot.removeObject(this)},c.update=function(t){var e;function r(e,r){return e in t?t[e]:r}t=t||{},this.sizeMin=r("sizeMin",.5),this.sizeMax=r("sizeMax",20),this.color=r("color",[1,0,0,1]).slice(),this.areaRatio=r("areaRatio",1),this.borderColor=r("borderColor",[0,0,0,1]).slice(),this.blend=r("blend",!1);var n=t.positions.length>>>1,i=t.positions instanceof Float32Array,o=t.idToIndex instanceof Int32Array&&t.idToIndex.length>=n,s=t.positions,l=i?s:a.mallocFloat32(s.length),u=o?t.idToIndex:a.mallocInt32(n);if(i||l.set(s),!o)for(l.set(s),e=0;e>>1;for(r=0;r=e[0]&&a<=e[2]&&o>=e[1]&&o<=e[3]&&n++}return n}(this.points,i),c=this.plot.pickPixelRatio*Math.max(Math.min(this.sizeMinCap,this.sizeMin),Math.min(this.sizeMax,this.sizeMax/Math.pow(s,.33333)));l[0]=2/a,l[4]=2/o,l[6]=-2*i[0]/a-1,l[7]=-2*i[1]/o-1,this.offsetBuffer.bind(),r.bind(),r.attributes.position.pointer(),r.uniforms.matrix=l,r.uniforms.color=this.color,r.uniforms.borderColor=this.borderColor,r.uniforms.pointCloud=c<5,r.uniforms.pointSize=c,r.uniforms.centerFraction=Math.min(1,Math.max(0,Math.sqrt(1-this.areaRatio))),e&&(u[0]=255&t,u[1]=t>>8&255,u[2]=t>>16&255,u[3]=t>>24&255,this.pickBuffer.bind(),r.attributes.pickId.pointer(n.UNSIGNED_BYTE),r.uniforms.pickOffset=u,this.pickOffset=t);var f=n.getParameter(n.BLEND),h=n.getParameter(n.DITHER);return f&&!this.blend&&n.disable(n.BLEND),h&&n.disable(n.DITHER),n.drawArrays(n.POINTS,0,this.pointCount),f&&!this.blend&&n.enable(n.BLEND),h&&n.enable(n.DITHER),t+this.pointCount}),c.draw=c.unifiedDraw,c.drawPick=c.unifiedDraw,c.pick=function(t,e,r){var n=this.pickOffset,i=this.pointCount;if(r=n+i)return null;var a=r-n,o=this.points;return{object:this,pointId:a,dataCoord:[o[2*a],o[2*a+1]]}}},6093:function(t){t.exports=function(t,e,r,n){var i,a,o,s,l,u=e[0],c=e[1],f=e[2],h=e[3],p=r[0],d=r[1],v=r[2],g=r[3];return(a=u*p+c*d+f*v+h*g)<0&&(a=-a,p=-p,d=-d,v=-v,g=-g),1-a>1e-6?(i=Math.acos(a),o=Math.sin(i),s=Math.sin((1-n)*i)/o,l=Math.sin(n*i)/o):(s=1-n,l=n),t[0]=s*u+l*p,t[1]=s*c+l*d,t[2]=s*f+l*v,t[3]=s*h+l*g,t}},8240:function(t){"use strict";t.exports=function(t){return t||0===t?t.toString():""}},4123:function(t,e,r){"use strict";var n=r(875);t.exports=function(t,e,r){var a=i[e];if(a||(a=i[e]={}),t in a)return a[t];var o={textAlign:"center",textBaseline:"middle",lineHeight:1,font:e,lineSpacing:1.25,styletags:{breaklines:!0,bolds:!0,italics:!0,subscripts:!0,superscripts:!0},triangles:!0},s=n(t,o);o.triangles=!1;var l,u,c=n(t,o);if(r&&1!==r){for(l=0;l max(a, b)) || \n (p < min(a, b)));\n}\n\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\n return (outOfRange(a.x, b.x, p.x) ||\n outOfRange(a.y, b.y, p.y));\n}\n\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\n return (outOfRange(a.x, b.x, p.x) ||\n outOfRange(a.y, b.y, p.y) ||\n outOfRange(a.z, b.z, p.z));\n}\n\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\n return outOfRange(a.xyz, b.xyz, p.xyz);\n}\n\nattribute vec3 position;\nattribute vec4 color;\nattribute vec2 glyph;\nattribute vec4 id;\n\nuniform vec4 highlightId;\nuniform float highlightScale;\nuniform mat4 model, view, projection;\nuniform vec3 clipBounds[2];\n\nvarying vec4 interpColor;\nvarying vec4 pickId;\nvarying vec3 dataCoordinate;\n\nvoid main() {\n if (outOfRange(clipBounds[0], clipBounds[1], position)) {\n\n gl_Position = vec4(0,0,0,0);\n } else {\n float scale = 1.0;\n if(distance(highlightId, id) < 0.0001) {\n scale = highlightScale;\n }\n\n vec4 worldPosition = model * vec4(position, 1);\n vec4 viewPosition = view * worldPosition;\n viewPosition = viewPosition / viewPosition.w;\n vec4 clipPosition = projection * (viewPosition + scale * vec4(glyph.x, -glyph.y, 0, 0));\n\n gl_Position = clipPosition;\n interpColor = color;\n pickId = id;\n dataCoordinate = position;\n }\n}"]),o=i(["precision highp float;\n#define GLSLIFY 1\n\nbool outOfRange(float a, float b, float p) {\n return ((p > max(a, b)) || \n (p < min(a, b)));\n}\n\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\n return (outOfRange(a.x, b.x, p.x) ||\n outOfRange(a.y, b.y, p.y));\n}\n\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\n return (outOfRange(a.x, b.x, p.x) ||\n outOfRange(a.y, b.y, p.y) ||\n outOfRange(a.z, b.z, p.z));\n}\n\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\n return outOfRange(a.xyz, b.xyz, p.xyz);\n}\n\nattribute vec3 position;\nattribute vec4 color;\nattribute vec2 glyph;\nattribute vec4 id;\n\nuniform mat4 model, view, projection;\nuniform vec2 screenSize;\nuniform vec3 clipBounds[2];\nuniform float highlightScale, pixelRatio;\nuniform vec4 highlightId;\n\nvarying vec4 interpColor;\nvarying vec4 pickId;\nvarying vec3 dataCoordinate;\n\nvoid main() {\n if (outOfRange(clipBounds[0], clipBounds[1], position)) {\n\n gl_Position = vec4(0,0,0,0);\n } else {\n float scale = pixelRatio;\n if(distance(highlightId.bgr, id.bgr) < 0.001) {\n scale *= highlightScale;\n }\n\n vec4 worldPosition = model * vec4(position, 1.0);\n vec4 viewPosition = view * worldPosition;\n vec4 clipPosition = projection * viewPosition;\n clipPosition /= clipPosition.w;\n\n gl_Position = clipPosition + vec4(screenSize * scale * vec2(glyph.x, -glyph.y), 0.0, 0.0);\n interpColor = color;\n pickId = id;\n dataCoordinate = position;\n }\n}"]),s=i(["precision highp float;\n#define GLSLIFY 1\n\nbool outOfRange(float a, float b, float p) {\n return ((p > max(a, b)) || \n (p < min(a, b)));\n}\n\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\n return (outOfRange(a.x, b.x, p.x) ||\n outOfRange(a.y, b.y, p.y));\n}\n\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\n return (outOfRange(a.x, b.x, p.x) ||\n outOfRange(a.y, b.y, p.y) ||\n outOfRange(a.z, b.z, p.z));\n}\n\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\n return outOfRange(a.xyz, b.xyz, p.xyz);\n}\n\nattribute vec3 position;\nattribute vec4 color;\nattribute vec2 glyph;\nattribute vec4 id;\n\nuniform float highlightScale;\nuniform vec4 highlightId;\nuniform vec3 axes[2];\nuniform mat4 model, view, projection;\nuniform vec2 screenSize;\nuniform vec3 clipBounds[2];\nuniform float scale, pixelRatio;\n\nvarying vec4 interpColor;\nvarying vec4 pickId;\nvarying vec3 dataCoordinate;\n\nvoid main() {\n if (outOfRange(clipBounds[0], clipBounds[1], position)) {\n\n gl_Position = vec4(0,0,0,0);\n } else {\n float lscale = pixelRatio * scale;\n if(distance(highlightId, id) < 0.0001) {\n lscale *= highlightScale;\n }\n\n vec4 clipCenter = projection * view * model * vec4(position, 1);\n vec3 dataPosition = position + 0.5*lscale*(axes[0] * glyph.x + axes[1] * glyph.y) * clipCenter.w * screenSize.y;\n vec4 clipPosition = projection * view * model * vec4(dataPosition, 1);\n\n gl_Position = clipPosition;\n interpColor = color;\n pickId = id;\n dataCoordinate = dataPosition;\n }\n}\n"]),l=i(["precision highp float;\n#define GLSLIFY 1\n\nbool outOfRange(float a, float b, float p) {\n return ((p > max(a, b)) || \n (p < min(a, b)));\n}\n\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\n return (outOfRange(a.x, b.x, p.x) ||\n outOfRange(a.y, b.y, p.y));\n}\n\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\n return (outOfRange(a.x, b.x, p.x) ||\n outOfRange(a.y, b.y, p.y) ||\n outOfRange(a.z, b.z, p.z));\n}\n\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\n return outOfRange(a.xyz, b.xyz, p.xyz);\n}\n\nuniform vec3 fragClipBounds[2];\nuniform float opacity;\n\nvarying vec4 interpColor;\nvarying vec3 dataCoordinate;\n\nvoid main() {\n if (\n outOfRange(fragClipBounds[0], fragClipBounds[1], dataCoordinate) ||\n interpColor.a * opacity == 0.\n ) discard;\n gl_FragColor = interpColor * opacity;\n}\n"]),u=i(["precision highp float;\n#define GLSLIFY 1\n\nbool outOfRange(float a, float b, float p) {\n return ((p > max(a, b)) || \n (p < min(a, b)));\n}\n\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\n return (outOfRange(a.x, b.x, p.x) ||\n outOfRange(a.y, b.y, p.y));\n}\n\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\n return (outOfRange(a.x, b.x, p.x) ||\n outOfRange(a.y, b.y, p.y) ||\n outOfRange(a.z, b.z, p.z));\n}\n\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\n return outOfRange(a.xyz, b.xyz, p.xyz);\n}\n\nuniform vec3 fragClipBounds[2];\nuniform float pickGroup;\n\nvarying vec4 pickId;\nvarying vec3 dataCoordinate;\n\nvoid main() {\n if (outOfRange(fragClipBounds[0], fragClipBounds[1], dataCoordinate)) discard;\n\n gl_FragColor = vec4(pickGroup, pickId.bgr);\n}"]),c=[{name:"position",type:"vec3"},{name:"color",type:"vec4"},{name:"glyph",type:"vec2"},{name:"id",type:"vec4"}],f={vertex:a,fragment:l,attributes:c},h={vertex:o,fragment:l,attributes:c},p={vertex:s,fragment:l,attributes:c},d={vertex:a,fragment:u,attributes:c},v={vertex:o,fragment:u,attributes:c},g={vertex:s,fragment:u,attributes:c};function y(t,e){var r=n(t,e),i=r.attributes;return i.position.location=0,i.color.location=1,i.glyph.location=2,i.id.location=3,r}e.createPerspective=function(t){return y(t,f)},e.createOrtho=function(t){return y(t,h)},e.createProject=function(t){return y(t,p)},e.createPickPerspective=function(t){return y(t,d)},e.createPickOrtho=function(t){return y(t,v)},e.createPickProject=function(t){return y(t,g)}},2182:function(t,e,r){"use strict";var n=r(3596),i=r(5827),a=r(2944),o=r(5306),s=r(104),l=r(9282),u=r(4123),c=r(8240),f=[1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1];function h(t,e){var r=t[0],n=t[1],i=t[2],a=t[3];return t[0]=e[0]*r+e[4]*n+e[8]*i+e[12]*a,t[1]=e[1]*r+e[5]*n+e[9]*i+e[13]*a,t[2]=e[2]*r+e[6]*n+e[10]*i+e[14]*a,t[3]=e[3]*r+e[7]*n+e[11]*i+e[15]*a,t}function p(t,e,r,n){return h(n,n),h(n,n),h(n,n)}function d(t,e){this.index=t,this.dataCoordinate=this.position=e}function v(t){return!0===t||t>1?1:t}function g(t,e,r,n,i,a,o,s,l,u,c,f){this.gl=t,this.pixelRatio=1,this.shader=e,this.orthoShader=r,this.projectShader=n,this.pointBuffer=i,this.colorBuffer=a,this.glyphBuffer=o,this.idBuffer=s,this.vao=l,this.vertexCount=0,this.lineVertexCount=0,this.opacity=1,this.hasAlpha=!1,this.lineWidth=0,this.projectScale=[2/3,2/3,2/3],this.projectOpacity=[1,1,1],this.projectHasAlpha=!1,this.pickId=0,this.pickPerspectiveShader=u,this.pickOrthoShader=c,this.pickProjectShader=f,this.points=[],this._selectResult=new d(0,[0,0,0]),this.useOrtho=!0,this.bounds=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]],this.axesProject=[!0,!0,!0],this.axesBounds=[[-1/0,-1/0,-1/0],[1/0,1/0,1/0]],this.highlightId=[1,1,1,1],this.highlightScale=2,this.clipBounds=[[-1/0,-1/0,-1/0],[1/0,1/0,1/0]],this.dirty=!0}t.exports=function(t){var e=t.gl,r=l.createPerspective(e),n=l.createOrtho(e),o=l.createProject(e),s=l.createPickPerspective(e),u=l.createPickOrtho(e),c=l.createPickProject(e),f=i(e),h=i(e),p=i(e),d=i(e),v=new g(e,r,n,o,f,h,p,d,a(e,[{buffer:f,size:3,type:e.FLOAT},{buffer:h,size:4,type:e.FLOAT},{buffer:p,size:2,type:e.FLOAT},{buffer:d,size:4,type:e.UNSIGNED_BYTE,normalized:!0}]),s,u,c);return v.update(t),v};var y=g.prototype;y.pickSlots=1,y.setPickBase=function(t){this.pickId=t},y.isTransparent=function(){if(this.hasAlpha)return!0;for(var t=0;t<3;++t)if(this.axesProject[t]&&this.projectHasAlpha)return!0;return!1},y.isOpaque=function(){if(!this.hasAlpha)return!0;for(var t=0;t<3;++t)if(this.axesProject[t]&&!this.projectHasAlpha)return!0;return!1};var m=[0,0],x=[0,0,0],b=[0,0,0],_=[0,0,0,1],w=[0,0,0,1],T=f.slice(),k=[0,0,0],A=[[0,0,0],[0,0,0]];function M(t){return t[0]=t[1]=t[2]=0,t}function S(t,e){return t[0]=e[0],t[1]=e[1],t[2]=e[2],t[3]=1,t}function E(t,e,r,n){return t[0]=e[0],t[1]=e[1],t[2]=e[2],t[r]=n,t}var L=[[-1e8,-1e8,-1e8],[1e8,1e8,1e8]];function C(t,e,r,n,i,a,o){var l=r.gl;if((a===r.projectHasAlpha||o)&&function(t,e,r,n){var i,a=e.axesProject,o=e.gl,l=t.uniforms,u=r.model||f,c=r.view||f,h=r.projection||f,d=e.axesBounds,v=function(t){for(var e=A,r=0;r<2;++r)for(var n=0;n<3;++n)e[r][n]=Math.max(Math.min(t[r][n],1e8),-1e8);return e}(e.clipBounds);i=e.axes&&e.axes.lastCubeProps?e.axes.lastCubeProps.axis:[1,1,1],m[0]=2/o.drawingBufferWidth,m[1]=2/o.drawingBufferHeight,t.bind(),l.view=c,l.projection=h,l.screenSize=m,l.highlightId=e.highlightId,l.highlightScale=e.highlightScale,l.clipBounds=v,l.pickGroup=e.pickId/255,l.pixelRatio=n;for(var g=0;g<3;++g)if(a[g]){l.scale=e.projectScale[g],l.opacity=e.projectOpacity[g];for(var y=T,L=0;L<16;++L)y[L]=0;for(L=0;L<4;++L)y[5*L]=1;y[5*g]=0,i[g]<0?y[12+g]=d[0][g]:y[12+g]=d[1][g],s(y,u,y),l.model=y;var C=(g+1)%3,P=(g+2)%3,O=M(x),I=M(b);O[C]=1,I[P]=1;var D=p(0,0,0,S(_,O)),z=p(0,0,0,S(w,I));if(Math.abs(D[1])>Math.abs(z[1])){var R=D;D=z,z=R,R=O,O=I,I=R;var F=C;C=P,P=F}D[0]<0&&(O[C]=-1),z[1]>0&&(I[P]=-1);var B=0,N=0;for(L=0;L<4;++L)B+=Math.pow(u[4*C+L],2),N+=Math.pow(u[4*P+L],2);O[C]/=Math.sqrt(B),I[P]/=Math.sqrt(N),l.axes[0]=O,l.axes[1]=I,l.fragClipBounds[0]=E(k,v[0],g,-1e8),l.fragClipBounds[1]=E(k,v[1],g,1e8),e.vao.bind(),e.vao.draw(o.TRIANGLES,e.vertexCount),e.lineWidth>0&&(o.lineWidth(e.lineWidth*n),e.vao.draw(o.LINES,e.lineVertexCount,e.vertexCount)),e.vao.unbind()}}(e,r,n,i),a===r.hasAlpha||o){t.bind();var u=t.uniforms;u.model=n.model||f,u.view=n.view||f,u.projection=n.projection||f,m[0]=2/l.drawingBufferWidth,m[1]=2/l.drawingBufferHeight,u.screenSize=m,u.highlightId=r.highlightId,u.highlightScale=r.highlightScale,u.fragClipBounds=L,u.clipBounds=r.axes.bounds,u.opacity=r.opacity,u.pickGroup=r.pickId/255,u.pixelRatio=i,r.vao.bind(),r.vao.draw(l.TRIANGLES,r.vertexCount),r.lineWidth>0&&(l.lineWidth(r.lineWidth*i),r.vao.draw(l.LINES,r.lineVertexCount,r.vertexCount)),r.vao.unbind()}}function P(t,e,r,i){var a;a=Array.isArray(t)?e=this.pointCount||e<0)return null;var r=this.points[e],n=this._selectResult;n.index=e;for(var i=0;i<3;++i)n.position[i]=n.dataCoordinate[i]=r[i];return n},y.highlight=function(t){if(t){var e=t.index,r=255&e,n=e>>8&255,i=e>>16&255;this.highlightId=[r/255,n/255,i/255,0]}else this.highlightId=[1,1,1,1]},y.update=function(t){if("perspective"in(t=t||{})&&(this.useOrtho=!t.perspective),"orthographic"in t&&(this.useOrtho=!!t.orthographic),"lineWidth"in t&&(this.lineWidth=t.lineWidth),"project"in t)if(Array.isArray(t.project))this.axesProject=t.project;else{var e=!!t.project;this.axesProject=[e,e,e]}if("projectScale"in t)if(Array.isArray(t.projectScale))this.projectScale=t.projectScale.slice();else{var r=+t.projectScale;this.projectScale=[r,r,r]}if(this.projectHasAlpha=!1,"projectOpacity"in t){Array.isArray(t.projectOpacity)?this.projectOpacity=t.projectOpacity.slice():(r=+t.projectOpacity,this.projectOpacity=[r,r,r]);for(var n=0;n<3;++n)this.projectOpacity[n]=v(this.projectOpacity[n]),this.projectOpacity[n]<1&&(this.projectHasAlpha=!0)}this.hasAlpha=!1,"opacity"in t&&(this.opacity=v(t.opacity),this.opacity<1&&(this.hasAlpha=!0)),this.dirty=!0;var i,a,s=t.position,l=t.font||"normal",u=t.alignment||[0,0];if(2===u.length)i=u[0],a=u[1];else for(i=[],a=[],n=0;n0){var I=0,D=x,z=[0,0,0,1],R=[0,0,0,1],F=Array.isArray(p)&&Array.isArray(p[0]),B=Array.isArray(y)&&Array.isArray(y[0]);t:for(n=0;n<_;++n){for(m+=1,w=s[n],T=0;T<3;++T){if(isNaN(w[T])||!isFinite(w[T]))continue t;f[T]=Math.max(f[T],w[T]),c[T]=Math.min(c[T],w[T])}k=(N=P(h,n,l,this.pixelRatio)).mesh,A=N.lines,M=N.bounds;var N,j=N.visible;if(j)if(Array.isArray(p)){if(3===(U=F?n0?1-M[0][0]:W<0?1+M[1][0]:1,Y*=Y>0?1-M[0][1]:Y<0?1+M[1][1]:1],Z=k.cells||[],K=k.positions||[];for(T=0;T0){var y=r*c;o.drawBox(f-y,h-y,p+y,h+y,a),o.drawBox(f-y,d-y,p+y,d+y,a),o.drawBox(f-y,h-y,f+y,d+y,a),o.drawBox(p-y,h-y,p+y,d+y,a)}}}},s.update=function(t){t=t||{},this.innerFill=!!t.innerFill,this.outerFill=!!t.outerFill,this.innerColor=(t.innerColor||[0,0,0,.5]).slice(),this.outerColor=(t.outerColor||[0,0,0,.5]).slice(),this.borderColor=(t.borderColor||[0,0,0,1]).slice(),this.borderWidth=t.borderWidth||0,this.selectBox=(t.selectBox||this.selectBox).slice()},s.dispose=function(){this.boxBuffer.dispose(),this.boxShader.dispose(),this.plot.removeOverlay(this)}},2611:function(t,e,r){"use strict";t.exports=function(t,e){var r=e[0],a=e[1];return new l(t,n(t,r,a,{}),i.mallocUint8(r*a*4))};var n=r(4234),i=r(5306),a=r(5050),o=r(2288).nextPow2;function s(t,e,r,n,i){this.coord=[t,e],this.id=r,this.value=n,this.distance=i}function l(t,e,r){this.gl=t,this.fbo=e,this.buffer=r,this._readTimeout=null;var n=this;this._readCallback=function(){n.gl&&(e.bind(),t.readPixels(0,0,e.shape[0],e.shape[1],t.RGBA,t.UNSIGNED_BYTE,n.buffer),n._readTimeout=null)}}var u=l.prototype;Object.defineProperty(u,"shape",{get:function(){return this.gl?this.fbo.shape.slice():[0,0]},set:function(t){if(this.gl){this.fbo.shape=t;var e=this.fbo.shape[0],r=this.fbo.shape[1];if(r*e*4>this.buffer.length){i.free(this.buffer);for(var n=this.buffer=i.mallocUint8(o(r*e*4)),a=0;ar)for(t=r;te)for(t=e;t=0){for(var T=0|w.type.charAt(w.type.length-1),k=new Array(T),A=0;A=0;)M+=1;_[m]=M}var S=new Array(r.length);function E(){h.program=o.program(p,h._vref,h._fref,b,_);for(var t=0;t=0){if((d=h.charCodeAt(h.length-1)-48)<2||d>4)throw new n("","Invalid data type for attribute "+f+": "+h);s(t,e,p[0],i,d,a,f)}else{if(!(h.indexOf("mat")>=0))throw new n("","Unknown data type for attribute "+f+": "+h);var d;if((d=h.charCodeAt(h.length-1)-48)<2||d>4)throw new n("","Invalid data type for attribute "+f+": "+h);l(t,e,p,i,d,a,f)}}}return a};var n=r(9068);function i(t,e,r,n,i,a){this._gl=t,this._wrapper=e,this._index=r,this._locations=n,this._dimension=i,this._constFunc=a}var a=i.prototype;a.pointer=function(t,e,r,n){var i=this,a=i._gl,o=i._locations[i._index];a.vertexAttribPointer(o,i._dimension,t||a.FLOAT,!!e,r||0,n||0),a.enableVertexAttribArray(o)},a.set=function(t,e,r,n){return this._constFunc(this._locations[this._index],t,e,r,n)},Object.defineProperty(a,"location",{get:function(){return this._locations[this._index]},set:function(t){return t!==this._locations[this._index]&&(this._locations[this._index]=0|t,this._wrapper.program=null),0|t}});var o=[function(t,e,r){return void 0===r.length?t.vertexAttrib1f(e,r):t.vertexAttrib1fv(e,r)},function(t,e,r,n){return void 0===r.length?t.vertexAttrib2f(e,r,n):t.vertexAttrib2fv(e,r)},function(t,e,r,n,i){return void 0===r.length?t.vertexAttrib3f(e,r,n,i):t.vertexAttrib3fv(e,r)},function(t,e,r,n,i,a){return void 0===r.length?t.vertexAttrib4f(e,r,n,i,a):t.vertexAttrib4fv(e,r)}];function s(t,e,r,n,a,s,l){var u=o[a],c=new i(t,e,r,n,a,u);Object.defineProperty(s,l,{set:function(e){return t.disableVertexAttribArray(n[r]),u(t,n[r],e),e},get:function(){return c},enumerable:!0})}function l(t,e,r,n,i,a,o){for(var l=new Array(i),u=new Array(i),c=0;c4)throw new i("","Invalid uniform dimension type for matrix "+name+": "+m);t["uniformMatrix"+y+"fv"](s[f],!1,h);break}throw new i("","Unknown uniform data type for "+name+": "+m)}if((y=m.charCodeAt(m.length-1)-48)<2||y>4)throw new i("","Invalid data type");switch(m.charAt(0)){case"b":case"i":t["uniform"+y+"iv"](s[f],h);break;case"v":t["uniform"+y+"fv"](s[f],h);break;default:throw new i("","Unrecognized data type for vector "+name+": "+m)}}}}}}function u(t,e){if("object"!=typeof e)return[[t,e]];var r=[];for(var n in e){var i=e[n],a=t;parseInt(n)+""===n?a+="["+n+"]":a+="."+n,"object"==typeof i?r.push.apply(r,u(a,i)):r.push([a,i])}return r}function c(t,e,n){if("object"==typeof n){var u=f(n);Object.defineProperty(t,e,{get:a(u),set:l(n),enumerable:!0,configurable:!1})}else s[n]?Object.defineProperty(t,e,{get:(c=n,function(t,e,r){return t.getUniform(e.program,r[c])}),set:l(n),enumerable:!0,configurable:!1}):t[e]=function(t){switch(t){case"bool":return!1;case"int":case"sampler2D":case"samplerCube":case"float":return 0;default:var e=t.indexOf("vec");if(0<=e&&e<=1&&t.length===4+e){if((r=t.charCodeAt(t.length-1)-48)<2||r>4)throw new i("","Invalid data type");return"b"===t.charAt(0)?o(r,!1):o(r,0)}if(0===t.indexOf("mat")&&4===t.length){var r;if((r=t.charCodeAt(t.length-1)-48)<2||r>4)throw new i("","Invalid uniform dimension type for matrix "+name+": "+t);return o(r*r,0)}throw new i("","Unknown uniform data type for "+name+": "+t)}}(r[n].type);var c}function f(t){var e;if(Array.isArray(t)){e=new Array(t.length);for(var r=0;r1){s[0]in a||(a[s[0]]=[]),a=a[s[0]];for(var l=1;l1)for(var l=0;l 0 U ||b|| > 0.\n // Assign z = 0, x = -b, y = a:\n // a*-b + b*a + c*0 = -ba + ba + 0 = 0\n if (v.x*v.x > v.z*v.z || v.y*v.y > v.z*v.z) {\n return normalize(vec3(-v.y, v.x, 0.0));\n } else {\n return normalize(vec3(0.0, v.z, -v.y));\n }\n}\n\n// Calculate the tube vertex and normal at the given index.\n//\n// The returned vertex is for a tube ring with its center at origin, radius of length(d), pointing in the direction of d.\n//\n// Each tube segment is made up of a ring of vertices.\n// These vertices are used to make up the triangles of the tube by connecting them together in the vertex array.\n// The indexes of tube segments run from 0 to 8.\n//\nvec3 getTubePosition(vec3 d, float index, out vec3 normal) {\n float segmentCount = 8.0;\n\n float angle = 2.0 * 3.14159 * (index / segmentCount);\n\n vec3 u = getOrthogonalVector(d);\n vec3 v = normalize(cross(u, d));\n\n vec3 x = u * cos(angle) * length(d);\n vec3 y = v * sin(angle) * length(d);\n vec3 v3 = x + y;\n\n normal = normalize(v3);\n\n return v3;\n}\n\nattribute vec4 vector;\nattribute vec4 color, position;\nattribute vec2 uv;\n\nuniform float vectorScale, tubeScale;\nuniform mat4 model, view, projection, inverseModel;\nuniform vec3 eyePosition, lightPosition;\n\nvarying vec3 f_normal, f_lightDirection, f_eyeDirection, f_data, f_position;\nvarying vec4 f_color;\nvarying vec2 f_uv;\n\nvoid main() {\n // Scale the vector magnitude to stay constant with\n // model & view changes.\n vec3 normal;\n vec3 XYZ = getTubePosition(mat3(model) * (tubeScale * vector.w * normalize(vector.xyz)), position.w, normal);\n vec4 tubePosition = model * vec4(position.xyz, 1.0) + vec4(XYZ, 0.0);\n\n //Lighting geometry parameters\n vec4 cameraCoordinate = view * tubePosition;\n cameraCoordinate.xyz /= cameraCoordinate.w;\n f_lightDirection = lightPosition - cameraCoordinate.xyz;\n f_eyeDirection = eyePosition - cameraCoordinate.xyz;\n f_normal = normalize((vec4(normal, 0.0) * inverseModel).xyz);\n\n // vec4 m_position = model * vec4(tubePosition, 1.0);\n vec4 t_position = view * tubePosition;\n gl_Position = projection * t_position;\n\n f_color = color;\n f_data = tubePosition.xyz;\n f_position = position.xyz;\n f_uv = uv;\n}\n"]),a=n(["#extension GL_OES_standard_derivatives : enable\n\nprecision highp float;\n#define GLSLIFY 1\n\nfloat beckmannDistribution(float x, float roughness) {\n float NdotH = max(x, 0.0001);\n float cos2Alpha = NdotH * NdotH;\n float tan2Alpha = (cos2Alpha - 1.0) / cos2Alpha;\n float roughness2 = roughness * roughness;\n float denom = 3.141592653589793 * roughness2 * cos2Alpha * cos2Alpha;\n return exp(tan2Alpha / roughness2) / denom;\n}\n\nfloat cookTorranceSpecular(\n vec3 lightDirection,\n vec3 viewDirection,\n vec3 surfaceNormal,\n float roughness,\n float fresnel) {\n\n float VdotN = max(dot(viewDirection, surfaceNormal), 0.0);\n float LdotN = max(dot(lightDirection, surfaceNormal), 0.0);\n\n //Half angle vector\n vec3 H = normalize(lightDirection + viewDirection);\n\n //Geometric term\n float NdotH = max(dot(surfaceNormal, H), 0.0);\n float VdotH = max(dot(viewDirection, H), 0.000001);\n float LdotH = max(dot(lightDirection, H), 0.000001);\n float G1 = (2.0 * NdotH * VdotN) / VdotH;\n float G2 = (2.0 * NdotH * LdotN) / LdotH;\n float G = min(1.0, min(G1, G2));\n \n //Distribution term\n float D = beckmannDistribution(NdotH, roughness);\n\n //Fresnel term\n float F = pow(1.0 - VdotN, fresnel);\n\n //Multiply terms and done\n return G * F * D / max(3.14159265 * VdotN, 0.000001);\n}\n\nbool outOfRange(float a, float b, float p) {\n return ((p > max(a, b)) || \n (p < min(a, b)));\n}\n\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\n return (outOfRange(a.x, b.x, p.x) ||\n outOfRange(a.y, b.y, p.y));\n}\n\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\n return (outOfRange(a.x, b.x, p.x) ||\n outOfRange(a.y, b.y, p.y) ||\n outOfRange(a.z, b.z, p.z));\n}\n\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\n return outOfRange(a.xyz, b.xyz, p.xyz);\n}\n\nuniform vec3 clipBounds[2];\nuniform float roughness, fresnel, kambient, kdiffuse, kspecular, opacity;\nuniform sampler2D texture;\n\nvarying vec3 f_normal, f_lightDirection, f_eyeDirection, f_data, f_position;\nvarying vec4 f_color;\nvarying vec2 f_uv;\n\nvoid main() {\n if (outOfRange(clipBounds[0], clipBounds[1], f_position)) discard;\n vec3 N = normalize(f_normal);\n vec3 L = normalize(f_lightDirection);\n vec3 V = normalize(f_eyeDirection);\n\n if(gl_FrontFacing) {\n N = -N;\n }\n\n float specular = min(1.0, max(0.0, cookTorranceSpecular(L, V, N, roughness, fresnel)));\n float diffuse = min(kambient + kdiffuse * max(dot(N, L), 0.0), 1.0);\n\n vec4 surfaceColor = f_color * texture2D(texture, f_uv);\n vec4 litColor = surfaceColor.a * vec4(diffuse * surfaceColor.rgb + kspecular * vec3(1,1,1) * specular, 1.0);\n\n gl_FragColor = litColor * opacity;\n}\n"]),o=n(["precision highp float;\n\nprecision highp float;\n#define GLSLIFY 1\n\nvec3 getOrthogonalVector(vec3 v) {\n // Return up-vector for only-z vector.\n // Return ax + by + cz = 0, a point that lies on the plane that has v as a normal and that isn't (0,0,0).\n // From the above if-statement we have ||a|| > 0 U ||b|| > 0.\n // Assign z = 0, x = -b, y = a:\n // a*-b + b*a + c*0 = -ba + ba + 0 = 0\n if (v.x*v.x > v.z*v.z || v.y*v.y > v.z*v.z) {\n return normalize(vec3(-v.y, v.x, 0.0));\n } else {\n return normalize(vec3(0.0, v.z, -v.y));\n }\n}\n\n// Calculate the tube vertex and normal at the given index.\n//\n// The returned vertex is for a tube ring with its center at origin, radius of length(d), pointing in the direction of d.\n//\n// Each tube segment is made up of a ring of vertices.\n// These vertices are used to make up the triangles of the tube by connecting them together in the vertex array.\n// The indexes of tube segments run from 0 to 8.\n//\nvec3 getTubePosition(vec3 d, float index, out vec3 normal) {\n float segmentCount = 8.0;\n\n float angle = 2.0 * 3.14159 * (index / segmentCount);\n\n vec3 u = getOrthogonalVector(d);\n vec3 v = normalize(cross(u, d));\n\n vec3 x = u * cos(angle) * length(d);\n vec3 y = v * sin(angle) * length(d);\n vec3 v3 = x + y;\n\n normal = normalize(v3);\n\n return v3;\n}\n\nattribute vec4 vector;\nattribute vec4 position;\nattribute vec4 id;\n\nuniform mat4 model, view, projection;\nuniform float tubeScale;\n\nvarying vec3 f_position;\nvarying vec4 f_id;\n\nvoid main() {\n vec3 normal;\n vec3 XYZ = getTubePosition(mat3(model) * (tubeScale * vector.w * normalize(vector.xyz)), position.w, normal);\n vec4 tubePosition = model * vec4(position.xyz, 1.0) + vec4(XYZ, 0.0);\n\n gl_Position = projection * view * tubePosition;\n f_id = id;\n f_position = position.xyz;\n}\n"]),s=n(["precision highp float;\n#define GLSLIFY 1\n\nbool outOfRange(float a, float b, float p) {\n return ((p > max(a, b)) || \n (p < min(a, b)));\n}\n\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\n return (outOfRange(a.x, b.x, p.x) ||\n outOfRange(a.y, b.y, p.y));\n}\n\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\n return (outOfRange(a.x, b.x, p.x) ||\n outOfRange(a.y, b.y, p.y) ||\n outOfRange(a.z, b.z, p.z));\n}\n\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\n return outOfRange(a.xyz, b.xyz, p.xyz);\n}\n\nuniform vec3 clipBounds[2];\nuniform float pickId;\n\nvarying vec3 f_position;\nvarying vec4 f_id;\n\nvoid main() {\n if (outOfRange(clipBounds[0], clipBounds[1], f_position)) discard;\n\n gl_FragColor = vec4(pickId, f_id.xyz);\n}"]);e.meshShader={vertex:i,fragment:a,attributes:[{name:"position",type:"vec4"},{name:"color",type:"vec4"},{name:"uv",type:"vec2"},{name:"vector",type:"vec4"}]},e.pickShader={vertex:o,fragment:s,attributes:[{name:"position",type:"vec4"},{name:"id",type:"vec4"},{name:"vector",type:"vec4"}]}},7307:function(t,e,r){"use strict";var n=r(2858),i=r(4020),a=["xyz","xzy","yxz","yzx","zxy","zyx"],o=function(t,e){var r,n=t.length;for(r=0;re)return r-1}return r},s=function(t,e,r){return tr?r:t},l=function(t){var e=1/0;t.sort((function(t,e){return t-e}));for(var r=t.length,n=1;nf-1||m>h-1||x>p-1)return n.create();var b,_,w,T,k,A,M=a[0][d],S=a[0][y],E=a[1][v],L=a[1][m],C=a[2][g],P=(l-M)/(S-M),O=(u-E)/(L-E),I=(c-C)/(a[2][x]-C);switch(isFinite(P)||(P=.5),isFinite(O)||(O=.5),isFinite(I)||(I=.5),r.reversedX&&(d=f-1-d,y=f-1-y),r.reversedY&&(v=h-1-v,m=h-1-m),r.reversedZ&&(g=p-1-g,x=p-1-x),r.filled){case 5:k=g,A=x,w=v*p,T=m*p,b=d*p*h,_=y*p*h;break;case 4:k=g,A=x,b=d*p,_=y*p,w=v*p*f,T=m*p*f;break;case 3:w=v,T=m,k=g*h,A=x*h,b=d*h*p,_=y*h*p;break;case 2:w=v,T=m,b=d*h,_=y*h,k=g*h*f,A=x*h*f;break;case 1:b=d,_=y,k=g*f,A=x*f,w=v*f*p,T=m*f*p;break;default:b=d,_=y,w=v*f,T=m*f,k=g*f*h,A=x*f*h}var D=i[b+w+k],z=i[b+w+A],R=i[b+T+k],F=i[b+T+A],B=i[_+w+k],N=i[_+w+A],j=i[_+T+k],U=i[_+T+A],V=n.create(),q=n.create(),H=n.create(),G=n.create();n.lerp(V,D,B,P),n.lerp(q,z,N,P),n.lerp(H,R,j,P),n.lerp(G,F,U,P);var W=n.create(),Y=n.create();n.lerp(W,V,H,O),n.lerp(Y,q,G,O);var X=n.create();return n.lerp(X,W,Y,I),X}(e,t,p)},v=t.getDivergence||function(t,e){var r=n.create(),i=1e-4;n.add(r,t,[i,0,0]);var a=d(r);n.subtract(a,a,e),n.scale(a,a,1/i),n.add(r,t,[0,i,0]);var o=d(r);n.subtract(o,o,e),n.scale(o,o,1/i),n.add(r,t,[0,0,i]);var s=d(r);return n.subtract(s,s,e),n.scale(s,s,1/i),n.add(r,a,o),n.add(r,r,s),r},g=[],y=e[0][0],m=e[0][1],x=e[0][2],b=e[1][0],_=e[1][1],w=e[1][2],T=function(t){var e=t[0],r=t[1],n=t[2];return!(eb||r_||nw)},k=10*n.distance(e[0],e[1])/u,A=k*k,M=1,S=0,E=r.length;E>1&&(M=function(t){for(var e=[],r=[],n=[],i={},a={},o={},s=t.length,u=0;uS&&(S=F),z.push(F),g.push({points:P,velocities:O,divergences:z});for(var B=0;B<100*u&&P.lengthA&&n.scale(N,N,k/Math.sqrt(j)),n.add(N,N,C),I=d(N),n.squaredDistance(D,N)-A>-1e-4*A&&(P.push(N),D=N,O.push(I),R=v(N,I),F=n.length(R),isFinite(F)&&F>S&&(S=F),z.push(F)),C=N}}var U=function(t,e,r,a){for(var o=0,s=0;s0)for(T=0;T<8;T++){var k=(T+1)%8;u.push(h[T],p[T],p[k],p[k],h[k],h[T]),f.push(m,y,y,y,m,m),d.push(v,g,g,g,v,v);var A=u.length;c.push([A-6,A-5,A-4],[A-3,A-2,A-1])}var M=h;h=p,p=M;var S=m;m=y,y=S;var E=v;v=g,g=E}return{positions:u,cells:c,vectors:f,vertexIntensity:d}}(t,r,a,o)})),f=[],h=[],p=[],d=[];for(s=0;s max(a, b)) || \n (p < min(a, b)));\n}\n\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\n return (outOfRange(a.x, b.x, p.x) ||\n outOfRange(a.y, b.y, p.y));\n}\n\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\n return (outOfRange(a.x, b.x, p.x) ||\n outOfRange(a.y, b.y, p.y) ||\n outOfRange(a.z, b.z, p.z));\n}\n\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\n return outOfRange(a.xyz, b.xyz, p.xyz);\n}\n\nuniform vec3 lowerBound, upperBound;\nuniform float contourTint;\nuniform vec4 contourColor;\nuniform sampler2D colormap;\nuniform vec3 clipBounds[2];\nuniform float roughness, fresnel, kambient, kdiffuse, kspecular, opacity;\nuniform float vertexColor;\n\nvarying float value, kill;\nvarying vec3 worldCoordinate;\nvarying vec3 lightDirection, eyeDirection, surfaceNormal;\nvarying vec4 vColor;\n\nvoid main() {\n if (\n kill > 0.0 ||\n vColor.a == 0.0 ||\n outOfRange(clipBounds[0], clipBounds[1], worldCoordinate)\n ) discard;\n\n vec3 N = normalize(surfaceNormal);\n vec3 V = normalize(eyeDirection);\n vec3 L = normalize(lightDirection);\n\n if(gl_FrontFacing) {\n N = -N;\n }\n\n float specular = max(beckmannSpecular(L, V, N, roughness), 0.);\n float diffuse = min(kambient + kdiffuse * max(dot(N, L), 0.0), 1.0);\n\n //decide how to interpolate color — in vertex or in fragment\n vec4 surfaceColor =\n step(vertexColor, .5) * texture2D(colormap, vec2(value, value)) +\n step(.5, vertexColor) * vColor;\n\n vec4 litColor = surfaceColor.a * vec4(diffuse * surfaceColor.rgb + kspecular * vec3(1,1,1) * specular, 1.0);\n\n gl_FragColor = mix(litColor, contourColor, contourTint) * opacity;\n}\n"]),s=i(["precision highp float;\n#define GLSLIFY 1\n\nattribute vec4 uv;\nattribute float f;\n\nuniform vec3 objectOffset;\nuniform mat3 permutation;\nuniform mat4 model, view, projection;\nuniform float height, zOffset;\nuniform sampler2D colormap;\n\nvarying float value, kill;\nvarying vec3 worldCoordinate;\nvarying vec2 planeCoordinate;\nvarying vec3 lightDirection, eyeDirection, surfaceNormal;\nvarying vec4 vColor;\n\nvoid main() {\n vec3 dataCoordinate = permutation * vec3(uv.xy, height);\n worldCoordinate = objectOffset + dataCoordinate;\n vec4 worldPosition = model * vec4(worldCoordinate, 1.0);\n\n vec4 clipPosition = projection * view * worldPosition;\n clipPosition.z += zOffset;\n\n gl_Position = clipPosition;\n value = f + objectOffset.z;\n kill = -1.0;\n planeCoordinate = uv.zw;\n\n vColor = texture2D(colormap, vec2(value, value));\n\n //Don't do lighting for contours\n surfaceNormal = vec3(1,0,0);\n eyeDirection = vec3(0,1,0);\n lightDirection = vec3(0,0,1);\n}\n"]),l=i(["precision highp float;\n#define GLSLIFY 1\n\nbool outOfRange(float a, float b, float p) {\n return ((p > max(a, b)) || \n (p < min(a, b)));\n}\n\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\n return (outOfRange(a.x, b.x, p.x) ||\n outOfRange(a.y, b.y, p.y));\n}\n\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\n return (outOfRange(a.x, b.x, p.x) ||\n outOfRange(a.y, b.y, p.y) ||\n outOfRange(a.z, b.z, p.z));\n}\n\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\n return outOfRange(a.xyz, b.xyz, p.xyz);\n}\n\nuniform vec2 shape;\nuniform vec3 clipBounds[2];\nuniform float pickId;\n\nvarying float value, kill;\nvarying vec3 worldCoordinate;\nvarying vec2 planeCoordinate;\nvarying vec3 surfaceNormal;\n\nvec2 splitFloat(float v) {\n float vh = 255.0 * v;\n float upper = floor(vh);\n float lower = fract(vh);\n return vec2(upper / 255.0, floor(lower * 16.0) / 16.0);\n}\n\nvoid main() {\n if ((kill > 0.0) ||\n (outOfRange(clipBounds[0], clipBounds[1], worldCoordinate))) discard;\n\n vec2 ux = splitFloat(planeCoordinate.x / shape.x);\n vec2 uy = splitFloat(planeCoordinate.y / shape.y);\n gl_FragColor = vec4(pickId, ux.x, uy.x, ux.y + (uy.y/16.0));\n}\n"]);e.createShader=function(t){var e=n(t,a,o,null,[{name:"uv",type:"vec4"},{name:"f",type:"vec3"},{name:"normal",type:"vec3"}]);return e.attributes.uv.location=0,e.attributes.f.location=1,e.attributes.normal.location=2,e},e.createPickShader=function(t){var e=n(t,a,l,null,[{name:"uv",type:"vec4"},{name:"f",type:"vec3"},{name:"normal",type:"vec3"}]);return e.attributes.uv.location=0,e.attributes.f.location=1,e.attributes.normal.location=2,e},e.createContourShader=function(t){var e=n(t,s,o,null,[{name:"uv",type:"vec4"},{name:"f",type:"float"}]);return e.attributes.uv.location=0,e.attributes.f.location=1,e},e.createPickContourShader=function(t){var e=n(t,s,l,null,[{name:"uv",type:"vec4"},{name:"f",type:"float"}]);return e.attributes.uv.location=0,e.attributes.f.location=1,e}},3754:function(t,e,r){"use strict";t.exports=function(t){var e=t.gl,r=m(e),n=b(e),s=x(e),l=_(e),u=i(e),c=a(e,[{buffer:u,size:4,stride:w,offset:0},{buffer:u,size:3,stride:w,offset:16},{buffer:u,size:3,stride:w,offset:28}]),f=i(e),h=a(e,[{buffer:f,size:4,stride:20,offset:0},{buffer:f,size:1,stride:20,offset:16}]),p=i(e),d=a(e,[{buffer:p,size:2,type:e.FLOAT}]),v=o(e,1,S,e.RGBA,e.UNSIGNED_BYTE);v.minFilter=e.LINEAR,v.magFilter=e.LINEAR;var g=new E(e,[0,0],[[0,0,0],[0,0,0]],r,n,u,c,v,s,l,f,h,p,d,[0,0,0]),y={levels:[[],[],[]]};for(var T in t)y[T]=t[T];return y.colormap=y.colormap||"jet",g.update(y),g};var n=r(2288),i=r(5827),a=r(2944),o=r(8931),s=r(5306),l=r(9156),u=r(7498),c=r(7382),f=r(5050),h=r(4162),p=r(104),d=r(7437),v=r(5070),g=r(9144),y=r(9054),m=y.createShader,x=y.createContourShader,b=y.createPickShader,_=y.createPickContourShader,w=40,T=[1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1],k=[[0,0],[0,1],[1,0],[1,1],[1,0],[0,1]],A=[[0,0,0,0,0,0,0,0,0],[0,0,0,0,0,0,0,0,0],[0,0,0,0,0,0,0,0,0]];function M(t,e,r,n,i){this.position=t,this.index=e,this.uv=r,this.level=n,this.dataCoordinate=i}!function(){for(var t=0;t<3;++t){var e=A[t],r=(t+2)%3;e[(t+1)%3+0]=1,e[r+3]=1,e[t+6]=1}}();var S=256;function E(t,e,r,n,i,a,o,l,u,c,h,p,d,v,g){this.gl=t,this.shape=e,this.bounds=r,this.objectOffset=g,this.intensityBounds=[],this._shader=n,this._pickShader=i,this._coordinateBuffer=a,this._vao=o,this._colorMap=l,this._contourShader=u,this._contourPickShader=c,this._contourBuffer=h,this._contourVAO=p,this._contourOffsets=[[],[],[]],this._contourCounts=[[],[],[]],this._vertexCount=0,this._pickResult=new M([0,0,0],[0,0],[0,0],[0,0,0],[0,0,0]),this._dynamicBuffer=d,this._dynamicVAO=v,this._dynamicOffsets=[0,0,0],this._dynamicCounts=[0,0,0],this.contourWidth=[1,1,1],this.contourLevels=[[1],[1],[1]],this.contourTint=[0,0,0],this.contourColor=[[.5,.5,.5,1],[.5,.5,.5,1],[.5,.5,.5,1]],this.showContour=!0,this.showSurface=!0,this.enableHighlight=[!0,!0,!0],this.highlightColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.highlightTint=[1,1,1],this.highlightLevel=[-1,-1,-1],this.enableDynamic=[!0,!0,!0],this.dynamicLevel=[NaN,NaN,NaN],this.dynamicColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.dynamicTint=[1,1,1],this.dynamicWidth=[1,1,1],this.axesBounds=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]],this.surfaceProject=[!1,!1,!1],this.contourProject=[[!1,!1,!1],[!1,!1,!1],[!1,!1,!1]],this.colorBounds=[!1,!1],this._field=[f(s.mallocFloat(1024),[0,0]),f(s.mallocFloat(1024),[0,0]),f(s.mallocFloat(1024),[0,0])],this.pickId=1,this.clipBounds=[[-1/0,-1/0,-1/0],[1/0,1/0,1/0]],this.snapToData=!1,this.pixelRatio=1,this.opacity=1,this.lightPosition=[10,1e4,0],this.ambientLight=.8,this.diffuseLight=.8,this.specularLight=2,this.roughness=.5,this.fresnel=1.5,this.vertexColor=0,this.dirty=!0}var L=E.prototype;L.genColormap=function(t,e){var r=!1,n=c([l({colormap:t,nshades:S,format:"rgba"}).map((function(t,n){var i=e?function(t,e){if(!e)return 1;if(!e.length)return 1;for(var r=0;rt&&r>0){var n=(e[r][0]-t)/(e[r][0]-e[r-1][0]);return e[r][1]*(1-n)+n*e[r-1][1]}}return 1}(n/255,e):t[3];return i<1&&(r=!0),[t[0],t[1],t[2],255*i]}))]);return u.divseq(n,255),this.hasAlphaScale=r,n},L.isTransparent=function(){return this.opacity<1||this.hasAlphaScale},L.isOpaque=function(){return!this.isTransparent()},L.pickSlots=1,L.setPickBase=function(t){this.pickId=t};var C=[0,0,0],P={showSurface:!1,showContour:!1,projections:[T.slice(),T.slice(),T.slice()],clipBounds:[[[0,0,0],[0,0,0]],[[0,0,0],[0,0,0]],[[0,0,0],[0,0,0]]]};function O(t,e){var r,n,i,a=e.axes&&e.axes.lastCubeProps.axis||C,o=e.showSurface,s=e.showContour;for(r=0;r<3;++r)for(o=o||e.surfaceProject[r],n=0;n<3;++n)s=s||e.contourProject[r][n];for(r=0;r<3;++r){var l=P.projections[r];for(n=0;n<16;++n)l[n]=0;for(n=0;n<4;++n)l[5*n]=1;l[5*r]=0,l[12+r]=e.axesBounds[+(a[r]>0)][r],p(l,t.model,l);var u=P.clipBounds[r];for(i=0;i<2;++i)for(n=0;n<3;++n)u[i][n]=t.clipBounds[i][n];u[0][r]=-1e8,u[1][r]=1e8}return P.showSurface=o,P.showContour=s,P}var I={model:T,view:T,projection:T,inverseModel:T.slice(),lowerBound:[0,0,0],upperBound:[0,0,0],colorMap:0,clipBounds:[[0,0,0],[0,0,0]],height:0,contourTint:0,contourColor:[0,0,0,1],permutation:[1,0,0,0,1,0,0,0,1],zOffset:-1e-4,objectOffset:[0,0,0],kambient:1,kdiffuse:1,kspecular:1,lightPosition:[1e3,1e3,1e3],eyePosition:[0,0,0],roughness:1,fresnel:1,opacity:1,vertexColor:0},D=T.slice(),z=[1,0,0,0,1,0,0,0,1];function R(t,e){t=t||{};var r=this.gl;r.disable(r.CULL_FACE),this._colorMap.bind(0);var n=I;n.model=t.model||T,n.view=t.view||T,n.projection=t.projection||T,n.lowerBound=[this.bounds[0][0],this.bounds[0][1],this.colorBounds[0]||this.bounds[0][2]],n.upperBound=[this.bounds[1][0],this.bounds[1][1],this.colorBounds[1]||this.bounds[1][2]],n.objectOffset=this.objectOffset,n.contourColor=this.contourColor[0],n.inverseModel=d(n.inverseModel,n.model);for(var i=0;i<2;++i)for(var a=n.clipBounds[i],o=0;o<3;++o)a[o]=Math.min(Math.max(this.clipBounds[i][o],-1e8),1e8);n.kambient=this.ambientLight,n.kdiffuse=this.diffuseLight,n.kspecular=this.specularLight,n.roughness=this.roughness,n.fresnel=this.fresnel,n.opacity=this.opacity,n.height=0,n.permutation=z,n.vertexColor=this.vertexColor;var s=D;for(p(s,n.view,n.model),p(s,n.projection,s),d(s,s),i=0;i<3;++i)n.eyePosition[i]=s[12+i]/s[15];var l=s[15];for(i=0;i<3;++i)l+=this.lightPosition[i]*s[4*i+3];for(i=0;i<3;++i){var u=s[12+i];for(o=0;o<3;++o)u+=s[4*o+i]*this.lightPosition[o];n.lightPosition[i]=u/l}var c=O(n,this);if(c.showSurface){for(this._shader.bind(),this._shader.uniforms=n,this._vao.bind(),this.showSurface&&this._vertexCount&&this._vao.draw(r.TRIANGLES,this._vertexCount),i=0;i<3;++i)this.surfaceProject[i]&&this.vertexCount&&(this._shader.uniforms.model=c.projections[i],this._shader.uniforms.clipBounds=c.clipBounds[i],this._vao.draw(r.TRIANGLES,this._vertexCount));this._vao.unbind()}if(c.showContour){var f=this._contourShader;n.kambient=1,n.kdiffuse=0,n.kspecular=0,n.opacity=1,f.bind(),f.uniforms=n;var h=this._contourVAO;for(h.bind(),i=0;i<3;++i)for(f.uniforms.permutation=A[i],r.lineWidth(this.contourWidth[i]*this.pixelRatio),o=0;o>4)/16)/255,i=Math.floor(n),a=n-i,o=e[1]*(t.value[1]+(15&t.value[2])/16)/255,s=Math.floor(o),l=o-s;i+=1,s+=1;var u=r.position;u[0]=u[1]=u[2]=0;for(var c=0;c<2;++c)for(var f=c?a:1-a,h=0;h<2;++h)for(var p=i+c,d=s+h,g=f*(h?l:1-l),y=0;y<3;++y)u[y]+=this._field[y].get(p,d)*g;for(var m=this._pickResult.level,x=0;x<3;++x)if(m[x]=v.le(this.contourLevels[x],u[x]),m[x]<0)this.contourLevels[x].length>0&&(m[x]=0);else if(m[x]Math.abs(_-u[x])&&(m[x]+=1)}for(r.index[0]=a<.5?i:i+1,r.index[1]=l<.5?s:s+1,r.uv[0]=n/e[0],r.uv[1]=o/e[1],y=0;y<3;++y)r.dataCoordinate[y]=this._field[y].get(r.index[0],r.index[1]);return r},L.padField=function(t,e){var r=e.shape.slice(),n=t.shape.slice();u.assign(t.lo(1,1).hi(r[0],r[1]),e),u.assign(t.lo(1).hi(r[0],1),e.hi(r[0],1)),u.assign(t.lo(1,n[1]-1).hi(r[0],1),e.lo(0,r[1]-1).hi(r[0],1)),u.assign(t.lo(0,1).hi(1,r[1]),e.hi(1)),u.assign(t.lo(n[0]-1,1).hi(1,r[1]),e.lo(r[0]-1)),t.set(0,0,e.get(0,0)),t.set(0,n[1]-1,e.get(0,r[1]-1)),t.set(n[0]-1,0,e.get(r[0]-1,0)),t.set(n[0]-1,n[1]-1,e.get(r[0]-1,r[1]-1))},L.update=function(t){t=t||{},this.objectOffset=t.objectOffset||this.objectOffset,this.dirty=!0,"contourWidth"in t&&(this.contourWidth=B(t.contourWidth,Number)),"showContour"in t&&(this.showContour=B(t.showContour,Boolean)),"showSurface"in t&&(this.showSurface=!!t.showSurface),"contourTint"in t&&(this.contourTint=B(t.contourTint,Boolean)),"contourColor"in t&&(this.contourColor=j(t.contourColor)),"contourProject"in t&&(this.contourProject=B(t.contourProject,(function(t){return B(t,Boolean)}))),"surfaceProject"in t&&(this.surfaceProject=t.surfaceProject),"dynamicColor"in t&&(this.dynamicColor=j(t.dynamicColor)),"dynamicTint"in t&&(this.dynamicTint=B(t.dynamicTint,Number)),"dynamicWidth"in t&&(this.dynamicWidth=B(t.dynamicWidth,Number)),"opacity"in t&&(this.opacity=t.opacity),"opacityscale"in t&&(this.opacityscale=t.opacityscale),"colorBounds"in t&&(this.colorBounds=t.colorBounds),"vertexColor"in t&&(this.vertexColor=t.vertexColor?1:0),"colormap"in t&&this._colorMap.setPixels(this.genColormap(t.colormap,this.opacityscale));var e=t.field||t.coords&&t.coords[2]||null,r=!1;if(e||(e=this._field[2].shape[0]||this._field[2].shape[2]?this._field[2].lo(1,1).hi(this._field[2].shape[0]-2,this._field[2].shape[1]-2):this._field[2].hi(0,0)),"field"in t||"coords"in t){var i=(e.shape[0]+2)*(e.shape[1]+2);i>this._field[2].data.length&&(s.freeFloat(this._field[2].data),this._field[2].data=s.mallocFloat(n.nextPow2(i))),this._field[2]=f(this._field[2].data,[e.shape[0]+2,e.shape[1]+2]),this.padField(this._field[2],e),this.shape=e.shape.slice();for(var a=this.shape,o=0;o<2;++o)this._field[2].size>this._field[o].data.length&&(s.freeFloat(this._field[o].data),this._field[o].data=s.mallocFloat(this._field[2].size)),this._field[o]=f(this._field[o].data,[a[0]+2,a[1]+2]);if(t.coords){var l=t.coords;if(!Array.isArray(l)||3!==l.length)throw new Error("gl-surface: invalid coordinates for x/y");for(o=0;o<2;++o){var u=l[o];for(y=0;y<2;++y)if(u.shape[y]!==a[y])throw new Error("gl-surface: coords have incorrect shape");this.padField(this._field[o],u)}}else if(t.ticks){var c=t.ticks;if(!Array.isArray(c)||2!==c.length)throw new Error("gl-surface: invalid ticks");for(o=0;o<2;++o){var p=c[o];if((Array.isArray(p)||p.length)&&(p=f(p)),p.shape[0]!==a[o])throw new Error("gl-surface: invalid tick length");var d=f(p.data,a);d.stride[o]=p.stride[0],d.stride[1^o]=0,this.padField(this._field[o],d)}}else{for(o=0;o<2;++o){var v=[0,0];v[o]=1,this._field[o]=f(this._field[o].data,[a[0]+2,a[1]+2],v,0)}this._field[0].set(0,0,0);for(var y=0;y0){for(var xt=0;xt<5;++xt)$.pop();U-=1}continue t}$.push(nt[0],nt[1],ot[0],ot[1],nt[2]),U+=1}}rt.push(U)}this._contourOffsets[Q]=et,this._contourCounts[Q]=rt}var bt=s.mallocFloat($.length);for(o=0;o<$.length;++o)bt[o]=$[o];this._contourBuffer.update(bt),s.freeFloat(bt)}},L.dispose=function(){this._shader.dispose(),this._vao.dispose(),this._coordinateBuffer.dispose(),this._colorMap.dispose(),this._contourBuffer.dispose(),this._contourVAO.dispose(),this._contourShader.dispose(),this._contourPickShader.dispose(),this._dynamicBuffer.dispose(),this._dynamicVAO.dispose();for(var t=0;t<3;++t)s.freeFloat(this._field[t].data)},L.highlight=function(t){var e,r;if(!t)return this._dynamicCounts=[0,0,0],this.dyanamicLevel=[NaN,NaN,NaN],void(this.highlightLevel=[-1,-1,-1]);for(e=0;e<3;++e)this.enableHighlight[e]?this.highlightLevel[e]=t.level[e]:this.highlightLevel[e]=-1;for(r=this.snapToData?t.dataCoordinate:t.position,e=0;e<3;++e)r[e]-=this.objectOffset[e];if(this.enableDynamic[0]&&r[0]!==this.dynamicLevel[0]||this.enableDynamic[1]&&r[1]!==this.dynamicLevel[1]||this.enableDynamic[2]&&r[2]!==this.dynamicLevel[2]){for(var n=0,i=this.shape,a=s.mallocFloat(12*i[0]*i[1]),o=0;o<3;++o)if(this.enableDynamic[o]){this.dynamicLevel[o]=r[o];var l=(o+1)%3,u=(o+2)%3,c=this._field[o],f=this._field[l],p=this._field[u],d=h(c,r[o]),v=d.cells,g=d.positions;for(this._dynamicOffsets[o]=n,e=0;es||o[1]<0||o[1]>s)throw new Error("gl-texture2d: Invalid texture size");var l=d(o,e.stride.slice()),u=0;"float32"===r?u=t.FLOAT:"float64"===r?(u=t.FLOAT,l=!1,r="float32"):"uint8"===r?u=t.UNSIGNED_BYTE:(u=t.UNSIGNED_BYTE,l=!1,r="uint8");var f,p,g=0;if(2===o.length)g=t.LUMINANCE,o=[o[0],o[1],1],e=n(e.data,o,[e.stride[0],e.stride[1],1],e.offset);else{if(3!==o.length)throw new Error("gl-texture2d: Invalid shape for texture");if(1===o[2])g=t.ALPHA;else if(2===o[2])g=t.LUMINANCE_ALPHA;else if(3===o[2])g=t.RGB;else{if(4!==o[2])throw new Error("gl-texture2d: Invalid shape for pixel coords");g=t.RGBA}}u!==t.FLOAT||t.getExtension("OES_texture_float")||(u=t.UNSIGNED_BYTE,l=!1);var y=e.size;if(l)f=0===e.offset&&e.data.length===y?e.data:e.data.subarray(e.offset,e.offset+y);else{var m=[o[2],o[2]*o[0],1];p=a.malloc(y,r);var x=n(p,o,m,0);"float32"!==r&&"float64"!==r||u!==t.UNSIGNED_BYTE?i.assign(x,e):c(x,e),f=p.subarray(0,y)}var b=v(t);return t.texImage2D(t.TEXTURE_2D,0,g,o[0],o[1],0,g,u,f),l||a.free(p),new h(t,b,o[0],o[1],g,u)}(t,e)}throw new Error("gl-texture2d: Invalid arguments for texture2d constructor")};var o=null,s=null,l=null;function u(t){return"undefined"!=typeof HTMLCanvasElement&&t instanceof HTMLCanvasElement||"undefined"!=typeof HTMLImageElement&&t instanceof HTMLImageElement||"undefined"!=typeof HTMLVideoElement&&t instanceof HTMLVideoElement||"undefined"!=typeof ImageData&&t instanceof ImageData}var c=function(t,e){i.muls(t,e,255)};function f(t,e,r){var n=t.gl,i=n.getParameter(n.MAX_TEXTURE_SIZE);if(e<0||e>i||r<0||r>i)throw new Error("gl-texture2d: Invalid texture size");return t._shape=[e,r],t.bind(),n.texImage2D(n.TEXTURE_2D,0,t.format,e,r,0,t.format,t.type,null),t._mipLevels=[0],t}function h(t,e,r,n,i,a){this.gl=t,this.handle=e,this.format=i,this.type=a,this._shape=[r,n],this._mipLevels=[0],this._magFilter=t.NEAREST,this._minFilter=t.NEAREST,this._wrapS=t.CLAMP_TO_EDGE,this._wrapT=t.CLAMP_TO_EDGE,this._anisoSamples=1;var o=this,s=[this._wrapS,this._wrapT];Object.defineProperties(s,[{get:function(){return o._wrapS},set:function(t){return o.wrapS=t}},{get:function(){return o._wrapT},set:function(t){return o.wrapT=t}}]),this._wrapVector=s;var l=[this._shape[0],this._shape[1]];Object.defineProperties(l,[{get:function(){return o._shape[0]},set:function(t){return o.width=t}},{get:function(){return o._shape[1]},set:function(t){return o.height=t}}]),this._shapeVector=l}var p=h.prototype;function d(t,e){return 3===t.length?1===e[2]&&e[1]===t[0]*t[2]&&e[0]===t[2]:1===e[0]&&e[1]===t[0]}function v(t){var e=t.createTexture();return t.bindTexture(t.TEXTURE_2D,e),t.texParameteri(t.TEXTURE_2D,t.TEXTURE_MIN_FILTER,t.NEAREST),t.texParameteri(t.TEXTURE_2D,t.TEXTURE_MAG_FILTER,t.NEAREST),t.texParameteri(t.TEXTURE_2D,t.TEXTURE_WRAP_S,t.CLAMP_TO_EDGE),t.texParameteri(t.TEXTURE_2D,t.TEXTURE_WRAP_T,t.CLAMP_TO_EDGE),e}function g(t,e,r,n,i){var a=t.getParameter(t.MAX_TEXTURE_SIZE);if(e<0||e>a||r<0||r>a)throw new Error("gl-texture2d: Invalid texture shape");if(i===t.FLOAT&&!t.getExtension("OES_texture_float"))throw new Error("gl-texture2d: Floating point textures not supported on this platform");var o=v(t);return t.texImage2D(t.TEXTURE_2D,0,n,e,r,0,n,i,null),new h(t,o,e,r,n,i)}Object.defineProperties(p,{minFilter:{get:function(){return this._minFilter},set:function(t){this.bind();var e=this.gl;if(this.type===e.FLOAT&&o.indexOf(t)>=0&&(e.getExtension("OES_texture_float_linear")||(t=e.NEAREST)),s.indexOf(t)<0)throw new Error("gl-texture2d: Unknown filter mode "+t);return e.texParameteri(e.TEXTURE_2D,e.TEXTURE_MIN_FILTER,t),this._minFilter=t}},magFilter:{get:function(){return this._magFilter},set:function(t){this.bind();var e=this.gl;if(this.type===e.FLOAT&&o.indexOf(t)>=0&&(e.getExtension("OES_texture_float_linear")||(t=e.NEAREST)),s.indexOf(t)<0)throw new Error("gl-texture2d: Unknown filter mode "+t);return e.texParameteri(e.TEXTURE_2D,e.TEXTURE_MAG_FILTER,t),this._magFilter=t}},mipSamples:{get:function(){return this._anisoSamples},set:function(t){var e=this._anisoSamples;if(this._anisoSamples=0|Math.max(t,1),e!==this._anisoSamples){var r=this.gl.getExtension("EXT_texture_filter_anisotropic");r&&this.gl.texParameterf(this.gl.TEXTURE_2D,r.TEXTURE_MAX_ANISOTROPY_EXT,this._anisoSamples)}return this._anisoSamples}},wrapS:{get:function(){return this._wrapS},set:function(t){if(this.bind(),l.indexOf(t)<0)throw new Error("gl-texture2d: Unknown wrap mode "+t);return this.gl.texParameteri(this.gl.TEXTURE_2D,this.gl.TEXTURE_WRAP_S,t),this._wrapS=t}},wrapT:{get:function(){return this._wrapT},set:function(t){if(this.bind(),l.indexOf(t)<0)throw new Error("gl-texture2d: Unknown wrap mode "+t);return this.gl.texParameteri(this.gl.TEXTURE_2D,this.gl.TEXTURE_WRAP_T,t),this._wrapT=t}},wrap:{get:function(){return this._wrapVector},set:function(t){if(Array.isArray(t)||(t=[t,t]),2!==t.length)throw new Error("gl-texture2d: Must specify wrap mode for rows and columns");for(var e=0;e<2;++e)if(l.indexOf(t[e])<0)throw new Error("gl-texture2d: Unknown wrap mode "+t);this._wrapS=t[0],this._wrapT=t[1];var r=this.gl;return this.bind(),r.texParameteri(r.TEXTURE_2D,r.TEXTURE_WRAP_S,this._wrapS),r.texParameteri(r.TEXTURE_2D,r.TEXTURE_WRAP_T,this._wrapT),t}},shape:{get:function(){return this._shapeVector},set:function(t){if(Array.isArray(t)){if(2!==t.length)throw new Error("gl-texture2d: Invalid texture shape")}else t=[0|t,0|t];return f(this,0|t[0],0|t[1]),[0|t[0],0|t[1]]}},width:{get:function(){return this._shape[0]},set:function(t){return f(this,t|=0,this._shape[1]),t}},height:{get:function(){return this._shape[1]},set:function(t){return t|=0,f(this,this._shape[0],t),t}}}),p.bind=function(t){var e=this.gl;return void 0!==t&&e.activeTexture(e.TEXTURE0+(0|t)),e.bindTexture(e.TEXTURE_2D,this.handle),void 0!==t?0|t:e.getParameter(e.ACTIVE_TEXTURE)-e.TEXTURE0},p.dispose=function(){this.gl.deleteTexture(this.handle)},p.generateMipmap=function(){this.bind(),this.gl.generateMipmap(this.gl.TEXTURE_2D);for(var t=Math.min(this._shape[0],this._shape[1]),e=0;t>0;++e,t>>>=1)this._mipLevels.indexOf(e)<0&&this._mipLevels.push(e)},p.setPixels=function(t,e,r,o){var s=this.gl;this.bind(),Array.isArray(e)?(o=r,r=0|e[1],e=0|e[0]):(e=e||0,r=r||0),o=o||0;var l=u(t)?t:t.raw;if(l)this._mipLevels.indexOf(o)<0?(s.texImage2D(s.TEXTURE_2D,0,this.format,this.format,this.type,l),this._mipLevels.push(o)):s.texSubImage2D(s.TEXTURE_2D,o,e,r,this.format,this.type,l);else{if(!(t.shape&&t.stride&&t.data))throw new Error("gl-texture2d: Unsupported data type");if(t.shape.length<2||e+t.shape[1]>this._shape[1]>>>o||r+t.shape[0]>this._shape[0]>>>o||e<0||r<0)throw new Error("gl-texture2d: Texture dimensions are out of bounds");!function(t,e,r,o,s,l,u,f){var h=f.dtype,p=f.shape.slice();if(p.length<2||p.length>3)throw new Error("gl-texture2d: Invalid ndarray, must be 2d or 3d");var v=0,g=0,y=d(p,f.stride.slice());if("float32"===h?v=t.FLOAT:"float64"===h?(v=t.FLOAT,y=!1,h="float32"):"uint8"===h?v=t.UNSIGNED_BYTE:(v=t.UNSIGNED_BYTE,y=!1,h="uint8"),2===p.length)g=t.LUMINANCE,p=[p[0],p[1],1],f=n(f.data,p,[f.stride[0],f.stride[1],1],f.offset);else{if(3!==p.length)throw new Error("gl-texture2d: Invalid shape for texture");if(1===p[2])g=t.ALPHA;else 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L=_*r[a]+w*h[a]+T*e[a];E[4*a+1]=k*r[a]+A*h[a]+M*e[a],E[4*a+2]=L,E[4*a+3]=0}var C=E[1],P=E[5],O=E[9],I=E[2],D=E[6],z=E[10],R=P*z-O*D,F=O*I-C*z,B=C*D-P*I,N=u(R,F,B);for(R/=N,F/=N,B/=N,E[0]=R,E[4]=F,E[8]=B,a=0;a<3;++a)S[a]=b[a]+E[2+4*a]*p;for(a=0;a<3;++a){c=0;for(var j=0;j<3;++j)c+=E[a+4*j]*S[j];E[12+a]=-c}E[15]=1},p.getMatrix=function(t,e){this.recalcMatrix(t);var r=this.computedMatrix;if(e){for(var n=0;n<16;++n)e[n]=r[n];return e}return r};var d=[0,0,0];p.rotate=function(t,e,r,n){if(this.angle.move(t,e,r),n){this.recalcMatrix(t);var i=this.computedMatrix;d[0]=i[2],d[1]=i[6],d[2]=i[10];for(var o=this.computedUp,s=this.computedRight,l=this.computedToward,u=0;u<3;++u)i[4*u]=o[u],i[4*u+1]=s[u],i[4*u+2]=l[u];for(a(i,i,n,d),u=0;u<3;++u)o[u]=i[4*u],s[u]=i[4*u+1];this.up.set(t,o[0],o[1],o[2]),this.right.set(t,s[0],s[1],s[2])}},p.pan=function(t,e,r,n){e=e||0,r=r||0,n=n||0,this.recalcMatrix(t);var 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this.uint16[f+0]=e,this.uint16[f+1]=r,this.uint16[f+2]=n,this.uint16[f+3]=i,this.uint16[f+4]=a,this.uint16[f+5]=o,this.uint16[f+6]=s,this.uint16[f+7]=l,this.uint16[f+8]=u,this.uint16[f+9]=c,t},e}(Qi);sa.prototype.bytesPerElement=20,oi("StructArrayLayout10ui20",sa);var la=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.int16=new Int16Array(this.arrayBuffer),this.uint16=new Uint16Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r,n,i,a,o,s,l,u,c,f){var h=this.length;return this.resize(h+1),this.emplace(h,t,e,r,n,i,a,o,s,l,u,c,f)},e.prototype.emplace=function(t,e,r,n,i,a,o,s,l,u,c,f,h){var p=12*t;return this.int16[p+0]=e,this.int16[p+1]=r,this.int16[p+2]=n,this.int16[p+3]=i,this.uint16[p+4]=a,this.uint16[p+5]=o,this.uint16[p+6]=s,this.uint16[p+7]=l,this.int16[p+8]=u,this.int16[p+9]=c,this.int16[p+10]=f,this.int16[p+11]=h,t},e}(Qi);la.prototype.bytesPerElement=24,oi("StructArrayLayout4i4ui4i24",la);var ua=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.float32=new Float32Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r){var n=this.length;return this.resize(n+1),this.emplace(n,t,e,r)},e.prototype.emplace=function(t,e,r,n){var i=3*t;return this.float32[i+0]=e,this.float32[i+1]=r,this.float32[i+2]=n,t},e}(Qi);ua.prototype.bytesPerElement=12,oi("StructArrayLayout3f12",ua);var ca=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.uint32=new Uint32Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t){var e=this.length;return this.resize(e+1),this.emplace(e,t)},e.prototype.emplace=function(t,e){var r=1*t;return this.uint32[r+0]=e,t},e}(Qi);ca.prototype.bytesPerElement=4,oi("StructArrayLayout1ul4",ca);var fa=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.int16=new Int16Array(this.arrayBuffer),this.uint32=new Uint32Array(this.arrayBuffer),this.uint16=new Uint16Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r,n,i,a,o,s,l){var u=this.length;return this.resize(u+1),this.emplace(u,t,e,r,n,i,a,o,s,l)},e.prototype.emplace=function(t,e,r,n,i,a,o,s,l,u){var c=10*t,f=5*t;return this.int16[c+0]=e,this.int16[c+1]=r,this.int16[c+2]=n,this.int16[c+3]=i,this.int16[c+4]=a,this.int16[c+5]=o,this.uint32[f+3]=s,this.uint16[c+8]=l,this.uint16[c+9]=u,t},e}(Qi);fa.prototype.bytesPerElement=20,oi("StructArrayLayout6i1ul2ui20",fa);var ha=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.int16=new Int16Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r,n,i,a){var o=this.length;return this.resize(o+1),this.emplace(o,t,e,r,n,i,a)},e.prototype.emplace=function(t,e,r,n,i,a,o){var s=6*t;return this.int16[s+0]=e,this.int16[s+1]=r,this.int16[s+2]=n,this.int16[s+3]=i,this.int16[s+4]=a,this.int16[s+5]=o,t},e}(Qi);ha.prototype.bytesPerElement=12,oi("StructArrayLayout2i2i2i12",ha);var pa=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.float32=new Float32Array(this.arrayBuffer),this.int16=new Int16Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r,n,i){var a=this.length;return this.resize(a+1),this.emplace(a,t,e,r,n,i)},e.prototype.emplace=function(t,e,r,n,i,a){var o=4*t,s=8*t;return this.float32[o+0]=e,this.float32[o+1]=r,this.float32[o+2]=n,this.int16[s+6]=i,this.int16[s+7]=a,t},e}(Qi);pa.prototype.bytesPerElement=16,oi("StructArrayLayout2f1f2i16",pa);var da=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.float32=new Float32Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r,n){var i=this.length;return this.resize(i+1),this.emplace(i,t,e,r,n)},e.prototype.emplace=function(t,e,r,n,i){var a=12*t,o=3*t;return this.uint8[a+0]=e,this.uint8[a+1]=r,this.float32[o+1]=n,this.float32[o+2]=i,t},e}(Qi);da.prototype.bytesPerElement=12,oi("StructArrayLayout2ub2f12",da);var va=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.uint16=new Uint16Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r){var n=this.length;return this.resize(n+1),this.emplace(n,t,e,r)},e.prototype.emplace=function(t,e,r,n){var i=3*t;return this.uint16[i+0]=e,this.uint16[i+1]=r,this.uint16[i+2]=n,t},e}(Qi);va.prototype.bytesPerElement=6,oi("StructArrayLayout3ui6",va);var ga=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.int16=new Int16Array(this.arrayBuffer),this.uint16=new Uint16Array(this.arrayBuffer),this.uint32=new Uint32Array(this.arrayBuffer),this.float32=new Float32Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r,n,i,a,o,s,l,u,c,f,h,p,d,v,g){var y=this.length;return this.resize(y+1),this.emplace(y,t,e,r,n,i,a,o,s,l,u,c,f,h,p,d,v,g)},e.prototype.emplace=function(t,e,r,n,i,a,o,s,l,u,c,f,h,p,d,v,g,y){var m=24*t,x=12*t,b=48*t;return this.int16[m+0]=e,this.int16[m+1]=r,this.uint16[m+2]=n,this.uint16[m+3]=i,this.uint32[x+2]=a,this.uint32[x+3]=o,this.uint32[x+4]=s,this.uint16[m+10]=l,this.uint16[m+11]=u,this.uint16[m+12]=c,this.float32[x+7]=f,this.float32[x+8]=h,this.uint8[b+36]=p,this.uint8[b+37]=d,this.uint8[b+38]=v,this.uint32[x+10]=g,this.int16[m+22]=y,t},e}(Qi);ga.prototype.bytesPerElement=48,oi("StructArrayLayout2i2ui3ul3ui2f3ub1ul1i48",ga);var ya=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.int16=new Int16Array(this.arrayBuffer),this.uint16=new Uint16Array(this.arrayBuffer),this.uint32=new Uint32Array(this.arrayBuffer),this.float32=new Float32Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r,n,i,a,o,s,l,u,c,f,h,p,d,v,g,y,m,x,b,_,w,T,k,A,M,S){var E=this.length;return this.resize(E+1),this.emplace(E,t,e,r,n,i,a,o,s,l,u,c,f,h,p,d,v,g,y,m,x,b,_,w,T,k,A,M,S)},e.prototype.emplace=function(t,e,r,n,i,a,o,s,l,u,c,f,h,p,d,v,g,y,m,x,b,_,w,T,k,A,M,S,E){var L=34*t,C=17*t;return this.int16[L+0]=e,this.int16[L+1]=r,this.int16[L+2]=n,this.int16[L+3]=i,this.int16[L+4]=a,this.int16[L+5]=o,this.int16[L+6]=s,this.int16[L+7]=l,this.uint16[L+8]=u,this.uint16[L+9]=c,this.uint16[L+10]=f,this.uint16[L+11]=h,this.uint16[L+12]=p,this.uint16[L+13]=d,this.uint16[L+14]=v,this.uint16[L+15]=g,this.uint16[L+16]=y,this.uint16[L+17]=m,this.uint16[L+18]=x,this.uint16[L+19]=b,this.uint16[L+20]=_,this.uint16[L+21]=w,this.uint16[L+22]=T,this.uint32[C+12]=k,this.float32[C+13]=A,this.float32[C+14]=M,this.float32[C+15]=S,this.float32[C+16]=E,t},e}(Qi);ya.prototype.bytesPerElement=68,oi("StructArrayLayout8i15ui1ul4f68",ya);var ma=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.float32=new Float32Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t){var e=this.length;return this.resize(e+1),this.emplace(e,t)},e.prototype.emplace=function(t,e){var r=1*t;return this.float32[r+0]=e,t},e}(Qi);ma.prototype.bytesPerElement=4,oi("StructArrayLayout1f4",ma);var xa=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.int16=new Int16Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r){var n=this.length;return this.resize(n+1),this.emplace(n,t,e,r)},e.prototype.emplace=function(t,e,r,n){var i=3*t;return this.int16[i+0]=e,this.int16[i+1]=r,this.int16[i+2]=n,t},e}(Qi);xa.prototype.bytesPerElement=6,oi("StructArrayLayout3i6",xa);var ba=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.uint32=new Uint32Array(this.arrayBuffer),this.uint16=new Uint16Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r){var n=this.length;return this.resize(n+1),this.emplace(n,t,e,r)},e.prototype.emplace=function(t,e,r,n){var i=2*t,a=4*t;return this.uint32[i+0]=e,this.uint16[a+2]=r,this.uint16[a+3]=n,t},e}(Qi);ba.prototype.bytesPerElement=8,oi("StructArrayLayout1ul2ui8",ba);var _a=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.uint16=new Uint16Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e){var r=this.length;return this.resize(r+1),this.emplace(r,t,e)},e.prototype.emplace=function(t,e,r){var n=2*t;return this.uint16[n+0]=e,this.uint16[n+1]=r,t},e}(Qi);_a.prototype.bytesPerElement=4,oi("StructArrayLayout2ui4",_a);var wa=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.uint16=new Uint16Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t){var e=this.length;return this.resize(e+1),this.emplace(e,t)},e.prototype.emplace=function(t,e){var r=1*t;return this.uint16[r+0]=e,t},e}(Qi);wa.prototype.bytesPerElement=2,oi("StructArrayLayout1ui2",wa);var Ta=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.float32=new Float32Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r,n){var i=this.length;return this.resize(i+1),this.emplace(i,t,e,r,n)},e.prototype.emplace=function(t,e,r,n,i){var a=4*t;return this.float32[a+0]=e,this.float32[a+1]=r,this.float32[a+2]=n,this.float32[a+3]=i,t},e}(Qi);Ta.prototype.bytesPerElement=16,oi("StructArrayLayout4f16",Ta);var ka=function(t){function e(){t.apply(this,arguments)}t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e;var r={anchorPointX:{configurable:!0},anchorPointY:{configurable:!0},x1:{configurable:!0},y1:{configurable:!0},x2:{configurable:!0},y2:{configurable:!0},featureIndex:{configurable:!0},sourceLayerIndex:{configurable:!0},bucketIndex:{configurable:!0},anchorPoint:{configurable:!0}};return r.anchorPointX.get=function(){return this._structArray.int16[this._pos2+0]},r.anchorPointY.get=function(){return this._structArray.int16[this._pos2+1]},r.x1.get=function(){return this._structArray.int16[this._pos2+2]},r.y1.get=function(){return this._structArray.int16[this._pos2+3]},r.x2.get=function(){return this._structArray.int16[this._pos2+4]},r.y2.get=function(){return this._structArray.int16[this._pos2+5]},r.featureIndex.get=function(){return this._structArray.uint32[this._pos4+3]},r.sourceLayerIndex.get=function(){return this._structArray.uint16[this._pos2+8]},r.bucketIndex.get=function(){return this._structArray.uint16[this._pos2+9]},r.anchorPoint.get=function(){return new a(this.anchorPointX,this.anchorPointY)},Object.defineProperties(e.prototype,r),e}($i);ka.prototype.size=20;var Aa=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.get=function(t){return new ka(this,t)},e}(fa);oi("CollisionBoxArray",Aa);var Ma=function(t){function e(){t.apply(this,arguments)}t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e;var r={anchorX:{configurable:!0},anchorY:{configurable:!0},glyphStartIndex:{configurable:!0},numGlyphs:{configurable:!0},vertexStartIndex:{configurable:!0},lineStartIndex:{configurable:!0},lineLength:{configurable:!0},segment:{configurable:!0},lowerSize:{configurable:!0},upperSize:{configurable:!0},lineOffsetX:{configurable:!0},lineOffsetY:{configurable:!0},writingMode:{configurable:!0},placedOrientation:{configurable:!0},hidden:{configurable:!0},crossTileID:{configurable:!0},associatedIconIndex:{configurable:!0}};return r.anchorX.get=function(){return this._structArray.int16[this._pos2+0]},r.anchorY.get=function(){return this._structArray.int16[this._pos2+1]},r.glyphStartIndex.get=function(){return this._structArray.uint16[this._pos2+2]},r.numGlyphs.get=function(){return this._structArray.uint16[this._pos2+3]},r.vertexStartIndex.get=function(){return this._structArray.uint32[this._pos4+2]},r.lineStartIndex.get=function(){return this._structArray.uint32[this._pos4+3]},r.lineLength.get=function(){return this._structArray.uint32[this._pos4+4]},r.segment.get=function(){return this._structArray.uint16[this._pos2+10]},r.lowerSize.get=function(){return this._structArray.uint16[this._pos2+11]},r.upperSize.get=function(){return this._structArray.uint16[this._pos2+12]},r.lineOffsetX.get=function(){return this._structArray.float32[this._pos4+7]},r.lineOffsetY.get=function(){return this._structArray.float32[this._pos4+8]},r.writingMode.get=function(){return this._structArray.uint8[this._pos1+36]},r.placedOrientation.get=function(){return this._structArray.uint8[this._pos1+37]},r.placedOrientation.set=function(t){this._structArray.uint8[this._pos1+37]=t},r.hidden.get=function(){return this._structArray.uint8[this._pos1+38]},r.hidden.set=function(t){this._structArray.uint8[this._pos1+38]=t},r.crossTileID.get=function(){return this._structArray.uint32[this._pos4+10]},r.crossTileID.set=function(t){this._structArray.uint32[this._pos4+10]=t},r.associatedIconIndex.get=function(){return this._structArray.int16[this._pos2+22]},Object.defineProperties(e.prototype,r),e}($i);Ma.prototype.size=48;var Sa=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.get=function(t){return new Ma(this,t)},e}(ga);oi("PlacedSymbolArray",Sa);var Ea=function(t){function e(){t.apply(this,arguments)}t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e;var r={anchorX:{configurable:!0},anchorY:{configurable:!0},rightJustifiedTextSymbolIndex:{configurable:!0},centerJustifiedTextSymbolIndex:{configurable:!0},leftJustifiedTextSymbolIndex:{configurable:!0},verticalPlacedTextSymbolIndex:{configurable:!0},placedIconSymbolIndex:{configurable:!0},verticalPlacedIconSymbolIndex:{configurable:!0},key:{configurable:!0},textBoxStartIndex:{configurable:!0},textBoxEndIndex:{configurable:!0},verticalTextBoxStartIndex:{configurable:!0},verticalTextBoxEndIndex:{configurable:!0},iconBoxStartIndex:{configurable:!0},iconBoxEndIndex:{configurable:!0},verticalIconBoxStartIndex:{configurable:!0},verticalIconBoxEndIndex:{configurable:!0},featureIndex:{configurable:!0},numHorizontalGlyphVertices:{configurable:!0},numVerticalGlyphVertices:{configurable:!0},numIconVertices:{configurable:!0},numVerticalIconVertices:{configurable:!0},useRuntimeCollisionCircles:{configurable:!0},crossTileID:{configurable:!0},textBoxScale:{configurable:!0},textOffset0:{configurable:!0},textOffset1:{configurable:!0},collisionCircleDiameter:{configurable:!0}};return 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L=Uu(h,y,v),C=Uu(p,m,g),P=0;P0&&(d=Math.max(10,d),this.circleDiameter=d)}else{var v=o.top*s-l,g=o.bottom*s+l,y=o.left*s-l,m=o.right*s+l,x=o.collisionPadding;if(x&&(y-=x[0]*s,v-=x[1]*s,m+=x[2]*s,g+=x[3]*s),c){var b=new a(y,v),_=new a(m,v),w=new a(y,g),T=new a(m,g),k=c*Math.PI/180;b._rotate(k),_._rotate(k),w._rotate(k),T._rotate(k),y=Math.min(b.x,_.x,w.x,T.x),m=Math.max(b.x,_.x,w.x,T.x),v=Math.min(b.y,_.y,w.y,T.y),g=Math.max(b.y,_.y,w.y,T.y)}t.emplaceBack(e.x,e.y,y,v,m,g,r,n,i)}this.boxEndIndex=t.length},Gu=function(t,e){if(void 0===t&&(t=[]),void 0===e&&(e=Wu),this.data=t,this.length=this.data.length,this.compare=e,this.length>0)for(var r=(this.length>>1)-1;r>=0;r--)this._down(r)};function Wu(t,e){return te?1:0}function Yu(t,e,r){void 0===e&&(e=1),void 0===r&&(r=!1);for(var n=1/0,i=1/0,o=-1/0,s=-1/0,l=t[0],u=0;uo)&&(o=c.x),(!u||c.y>s)&&(s=c.y)}var f=o-n,h=s-i,p=Math.min(f,h),d=p/2,v=new Gu([],Xu);if(0===p)return new a(n,i);for(var g=n;gm.d||!m.d)&&(m=b,r&&console.log("found best %d 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i=t-1>>1,a=e[i];if(r(n,a)>=0)break;e[t]=a,t=i}e[t]=n},Gu.prototype._down=function(t){for(var e=this.data,r=this.compare,n=this.length>>1,i=e[t];t=0)break;e[t]=o,t=a}e[t]=i};var Ku=7,Ju=Number.POSITIVE_INFINITY;function $u(t,e){return e[1]!==Ju?function(t,e,r){var n=0,i=0;switch(e=Math.abs(e),r=Math.abs(r),t){case"top-right":case"top-left":case"top":i=r-Ku;break;case"bottom-right":case"bottom-left":case"bottom":i=-r+Ku}switch(t){case"top-right":case"bottom-right":case"right":n=-e;break;case"top-left":case"bottom-left":case"left":n=e}return[n,i]}(t,e[0],e[1]):function(t,e){var r=0,n=0;e<0&&(e=0);var i=e/Math.sqrt(2);switch(t){case"top-right":case"top-left":n=i-Ku;break;case"bottom-right":case"bottom-left":n=-i+Ku;break;case"bottom":n=-e+Ku;break;case"top":n=e-Ku}switch(t){case"top-right":case"bottom-right":r=-i;break;case"top-left":case"bottom-left":r=i;break;case"left":r=e;break;case"right":r=-e}return[r,n]}(t,e[0])}function Qu(t){switch(t){case"right":case"top-right":case"bottom-right":return"right";case"left":case"top-left":case"bottom-left":return"left"}return"center"}var tc=255,ec=tc*Au;function rc(t,e,r,n,i,o,s,l,u,c,f,h,p,d,v){var g=function(t,e,r,n,i,o,s,l){for(var u=n.layout.get("text-rotate").evaluate(o,{})*Math.PI/180,c=[],f=0,h=e.positionedLines;fec&&k(t.layerIds[0]+': Value for "text-size" is >= '+tc+'. 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this.hasDebugData()&&this.iconCollisionBox.segments.get().length>0},hc.prototype.addIndicesForPlacedSymbol=function(t,e){for(var r=t.placedSymbolArray.get(e),n=r.vertexStartIndex+4*r.numGlyphs,i=r.vertexStartIndex;i1||this.icon.segments.get().length>1)){this.symbolInstanceIndexes=this.getSortedSymbolIndexes(t),this.sortedAngle=t,this.text.indexArray.clear(),this.icon.indexArray.clear(),this.featureSortOrder=[];for(var 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qi(Ft.layout_symbol["symbol-z-order"]),"icon-allow-overlap":new qi(Ft.layout_symbol["icon-allow-overlap"]),"icon-ignore-placement":new qi(Ft.layout_symbol["icon-ignore-placement"]),"icon-optional":new qi(Ft.layout_symbol["icon-optional"]),"icon-rotation-alignment":new qi(Ft.layout_symbol["icon-rotation-alignment"]),"icon-size":new Hi(Ft.layout_symbol["icon-size"]),"icon-text-fit":new qi(Ft.layout_symbol["icon-text-fit"]),"icon-text-fit-padding":new qi(Ft.layout_symbol["icon-text-fit-padding"]),"icon-image":new Hi(Ft.layout_symbol["icon-image"]),"icon-rotate":new Hi(Ft.layout_symbol["icon-rotate"]),"icon-padding":new qi(Ft.layout_symbol["icon-padding"]),"icon-keep-upright":new qi(Ft.layout_symbol["icon-keep-upright"]),"icon-offset":new Hi(Ft.layout_symbol["icon-offset"]),"icon-anchor":new Hi(Ft.layout_symbol["icon-anchor"]),"icon-pitch-alignment":new qi(Ft.layout_symbol["icon-pitch-alignment"]),"text-pitch-alignment":new qi(Ft.layout_symbol["text-pitch-alignment"]),"text-rotation-alignment":new qi(Ft.layout_symbol["text-rotation-alignment"]),"text-field":new Hi(Ft.layout_symbol["text-field"]),"text-font":new Hi(Ft.layout_symbol["text-font"]),"text-size":new Hi(Ft.layout_symbol["text-size"]),"text-max-width":new Hi(Ft.layout_symbol["text-max-width"]),"text-line-height":new qi(Ft.layout_symbol["text-line-height"]),"text-letter-spacing":new Hi(Ft.layout_symbol["text-letter-spacing"]),"text-justify":new Hi(Ft.layout_symbol["text-justify"]),"text-radial-offset":new Hi(Ft.layout_symbol["text-radial-offset"]),"text-variable-anchor":new qi(Ft.layout_symbol["text-variable-anchor"]),"text-anchor":new Hi(Ft.layout_symbol["text-anchor"]),"text-max-angle":new qi(Ft.layout_symbol["text-max-angle"]),"text-writing-mode":new qi(Ft.layout_symbol["text-writing-mode"]),"text-rotate":new Hi(Ft.layout_symbol["text-rotate"]),"text-padding":new qi(Ft.layout_symbol["text-padding"]),"text-keep-upright":new qi(Ft.layout_symbol["text-keep-upright"]),"text-transform":new Hi(Ft.layout_symbol["text-transform"]),"text-offset":new Hi(Ft.layout_symbol["text-offset"]),"text-allow-overlap":new qi(Ft.layout_symbol["text-allow-overlap"]),"text-ignore-placement":new qi(Ft.layout_symbol["text-ignore-placement"]),"text-optional":new qi(Ft.layout_symbol["text-optional"])}),dc={paint:new Xi({"icon-opacity":new Hi(Ft.paint_symbol["icon-opacity"]),"icon-color":new Hi(Ft.paint_symbol["icon-color"]),"icon-halo-color":new Hi(Ft.paint_symbol["icon-halo-color"]),"icon-halo-width":new Hi(Ft.paint_symbol["icon-halo-width"]),"icon-halo-blur":new Hi(Ft.paint_symbol["icon-halo-blur"]),"icon-translate":new qi(Ft.paint_symbol["icon-translate"]),"icon-translate-anchor":new qi(Ft.paint_symbol["icon-translate-anchor"]),"text-opacity":new Hi(Ft.paint_symbol["text-opacity"]),"text-color":new Hi(Ft.paint_symbol["text-color"],{runtimeType:Zt,getOverride:function(t){return t.textColor},hasOverride:function(t){return!!t.textColor}}),"text-halo-color":new Hi(Ft.paint_symbol["text-halo-color"]),"text-halo-width":new Hi(Ft.paint_symbol["text-halo-width"]),"text-halo-blur":new Hi(Ft.paint_symbol["text-halo-blur"]),"text-translate":new qi(Ft.paint_symbol["text-translate"]),"text-translate-anchor":new qi(Ft.paint_symbol["text-translate-anchor"])}),layout:pc},vc=function(t){this.type=t.property.overrides?t.property.overrides.runtimeType:Gt,this.defaultValue=t};vc.prototype.evaluate=function(t){if(t.formattedSection){var e=this.defaultValue.property.overrides;if(e&&e.hasOverride(t.formattedSection))return e.getOverride(t.formattedSection)}return t.feature&&t.featureState?this.defaultValue.evaluate(t.feature,t.featureState):this.defaultValue.property.specification.default},vc.prototype.eachChild=function(t){this.defaultValue.isConstant()||t(this.defaultValue.value._styleExpression.expression)},vc.prototype.outputDefined=function(){return!1},vc.prototype.serialize=function(){return null},oi("FormatSectionOverride",vc,{omit:["defaultValue"]});var gc=function(t){function e(e){t.call(this,e,dc)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.recalculate=function(e,r){if(t.prototype.recalculate.call(this,e,r),"auto"===this.layout.get("icon-rotation-alignment")&&("point"!==this.layout.get("symbol-placement")?this.layout._values["icon-rotation-alignment"]="map":this.layout._values["icon-rotation-alignment"]="viewport"),"auto"===this.layout.get("text-rotation-alignment")&&("point"!==this.layout.get("symbol-placement")?this.layout._values["text-rotation-alignment"]="map":this.layout._values["text-rotation-alignment"]="viewport"),"auto"===this.layout.get("text-pitch-alignment")&&(this.layout._values["text-pitch-alignment"]=this.layout.get("text-rotation-alignment")),"auto"===this.layout.get("icon-pitch-alignment")&&(this.layout._values["icon-pitch-alignment"]=this.layout.get("icon-rotation-alignment")),"point"===this.layout.get("symbol-placement")){var n=this.layout.get("text-writing-mode");if(n){for(var i=[],a=0,o=n;a",targetMapId:n,sourceMapId:a.mapId})}}},Cc.prototype.receive=function(t){var e=t.data,r=e.id;if(r&&(!e.targetMapId||this.mapId===e.targetMapId))if(""===e.type){delete this.tasks[r];var n=this.cancelCallbacks[r];delete this.cancelCallbacks[r],n&&n()}else S()||e.mustQueue?(this.tasks[r]=e,this.taskQueue.push(r),this.invoker.trigger()):this.processTask(r,e)},Cc.prototype.process=function(){if(this.taskQueue.length){var t=this.taskQueue.shift(),e=this.tasks[t];delete this.tasks[t],this.taskQueue.length&&this.invoker.trigger(),e&&this.processTask(t,e)}},Cc.prototype.processTask=function(t,e){var r=this;if(""===e.type){var n=this.callbacks[t];delete this.callbacks[t],n&&(e.error?n(fi(e.error)):n(null,fi(e.data)))}else{var i=!1,a=C(this.globalScope)?void 0:[],o=e.hasCallback?function(e,n){i=!0,delete r.cancelCallbacks[t],r.target.postMessage({id:t,type:"",sourceMapId:r.mapId,error:e?ci(e):null,data:ci(n,a)},a)}:function(t){i=!0},s=null,l=fi(e.data);if(this.parent[e.type])s=this.parent[e.type](e.sourceMapId,l,o);else if(this.parent.getWorkerSource){var u=e.type.split(".");s=this.parent.getWorkerSource(e.sourceMapId,u[0],l.source)[u[1]](l,o)}else o(new Error("Could not find function "+e.type));!i&&s&&s.cancel&&(this.cancelCallbacks[t]=s.cancel)}},Cc.prototype.remove=function(){this.invoker.remove(),this.target.removeEventListener("message",this.receive,!1)};var Oc=function(t,e){t&&(e?this.setSouthWest(t).setNorthEast(e):4===t.length?this.setSouthWest([t[0],t[1]]).setNorthEast([t[2],t[3]]):this.setSouthWest(t[0]).setNorthEast(t[1]))};Oc.prototype.setNorthEast=function(t){return this._ne=t instanceof Dc?new Dc(t.lng,t.lat):Dc.convert(t),this},Oc.prototype.setSouthWest=function(t){return this._sw=t instanceof Dc?new Dc(t.lng,t.lat):Dc.convert(t),this},Oc.prototype.extend=function(t){var e,r,n=this._sw,i=this._ne;if(t instanceof Dc)e=t,r=t;else{if(!(t instanceof Oc)){if(Array.isArray(t)){if(4===t.length||t.every(Array.isArray)){var a=t;return this.extend(Oc.convert(a))}var o=t;return this.extend(Dc.convert(o))}return this}if(e=t._sw,r=t._ne,!e||!r)return this}return n||i?(n.lng=Math.min(e.lng,n.lng),n.lat=Math.min(e.lat,n.lat),i.lng=Math.max(r.lng,i.lng),i.lat=Math.max(r.lat,i.lat)):(this._sw=new Dc(e.lng,e.lat),this._ne=new Dc(r.lng,r.lat)),this},Oc.prototype.getCenter=function(){return new Dc((this._sw.lng+this._ne.lng)/2,(this._sw.lat+this._ne.lat)/2)},Oc.prototype.getSouthWest=function(){return this._sw},Oc.prototype.getNorthEast=function(){return this._ne},Oc.prototype.getNorthWest=function(){return new Dc(this.getWest(),this.getNorth())},Oc.prototype.getSouthEast=function(){return new Dc(this.getEast(),this.getSouth())},Oc.prototype.getWest=function(){return this._sw.lng},Oc.prototype.getSouth=function(){return this._sw.lat},Oc.prototype.getEast=function(){return this._ne.lng},Oc.prototype.getNorth=function(){return this._ne.lat},Oc.prototype.toArray=function(){return[this._sw.toArray(),this._ne.toArray()]},Oc.prototype.toString=function(){return"LngLatBounds("+this._sw.toString()+", "+this._ne.toString()+")"},Oc.prototype.isEmpty=function(){return!(this._sw&&this._ne)},Oc.prototype.contains=function(t){var e=Dc.convert(t),r=e.lng,n=e.lat,i=this._sw.lat<=n&&n<=this._ne.lat,a=this._sw.lng<=r&&r<=this._ne.lng;return this._sw.lng>this._ne.lng&&(a=this._sw.lng>=r&&r>=this._ne.lng),i&&a},Oc.convert=function(t){return!t||t instanceof Oc?t:new Oc(t)};var Ic=6371008.8,Dc=function(t,e){if(isNaN(t)||isNaN(e))throw new Error("Invalid LngLat object: ("+t+", "+e+")");if(this.lng=+t,this.lat=+e,this.lat>90||this.lat<-90)throw new Error("Invalid LngLat latitude value: must be between -90 and 90")};Dc.prototype.wrap=function(){return new Dc(h(this.lng,-180,180),this.lat)},Dc.prototype.toArray=function(){return[this.lng,this.lat]},Dc.prototype.toString=function(){return"LngLat("+this.lng+", "+this.lat+")"},Dc.prototype.distanceTo=function(t){var e=Math.PI/180,r=this.lat*e,n=t.lat*e,i=Math.sin(r)*Math.sin(n)+Math.cos(r)*Math.cos(n)*Math.cos((t.lng-this.lng)*e);return Ic*Math.acos(Math.min(i,1))},Dc.prototype.toBounds=function(t){void 0===t&&(t=0);var e=360*t/40075017,r=e/Math.cos(Math.PI/180*this.lat);return new Oc(new Dc(this.lng-r,this.lat-e),new Dc(this.lng+r,this.lat+e))},Dc.convert=function(t){if(t instanceof Dc)return t;if(Array.isArray(t)&&(2===t.length||3===t.length))return new Dc(Number(t[0]),Number(t[1]));if(!Array.isArray(t)&&"object"==typeof t&&null!==t)return new Dc(Number("lng"in t?t.lng:t.lon),Number(t.lat));throw new Error("`LngLatLike` argument must be specified as a LngLat instance, an object {lng: , lat: }, an object {lon: , lat: }, or an array of [, ]")};var zc=2*Math.PI*Ic;function Rc(t){return zc*Math.cos(t*Math.PI/180)}function Fc(t){return(180+t)/360}function Bc(t){return(180-180/Math.PI*Math.log(Math.tan(Math.PI/4+t*Math.PI/360)))/360}function Nc(t,e){return t/Rc(e)}function jc(t){var e=180-360*t;return 360/Math.PI*Math.atan(Math.exp(e*Math.PI/180))-90}var Uc=function(t,e,r){void 0===r&&(r=0),this.x=+t,this.y=+e,this.z=+r};Uc.fromLngLat=function(t,e){void 0===e&&(e=0);var r=Dc.convert(t);return new Uc(Fc(r.lng),Bc(r.lat),Nc(e,r.lat))},Uc.prototype.toLngLat=function(){return new Dc(360*this.x-180,jc(this.y))},Uc.prototype.toAltitude=function(){return t=this.z,e=this.y,t*Rc(jc(e));var t,e},Uc.prototype.meterInMercatorCoordinateUnits=function(){return 1/zc*(t=jc(this.y),1/Math.cos(t*Math.PI/180));var t};var Vc=function(t,e,r){this.z=t,this.x=e,this.y=r,this.key=Gc(0,t,t,e,r)};Vc.prototype.equals=function(t){return this.z===t.z&&this.x===t.x&&this.y===t.y},Vc.prototype.url=function(t,e){var r,n,i,a,o,s=(r=this.x,n=this.y,i=this.z,a=Pc(256*r,256*(n=Math.pow(2,i)-n-1),i),o=Pc(256*(r+1),256*(n+1),i),a[0]+","+a[1]+","+o[0]+","+o[1]),l=function(t,e,r){for(var n,i="",a=t;a>0;a--)i+=(e&(n=1<this.canonical.z?new Hc(t,this.wrap,this.canonical.z,this.canonical.x,this.canonical.y):new Hc(t,this.wrap,t,this.canonical.x>>e,this.canonical.y>>e)},Hc.prototype.calculateScaledKey=function(t,e){var r=this.canonical.z-t;return t>this.canonical.z?Gc(this.wrap*+e,t,this.canonical.z,this.canonical.x,this.canonical.y):Gc(this.wrap*+e,t,t,this.canonical.x>>r,this.canonical.y>>r)},Hc.prototype.isChildOf=function(t){if(t.wrap!==this.wrap)return!1;var e=this.canonical.z-t.canonical.z;return 0===t.overscaledZ||t.overscaledZ>e&&t.canonical.y===this.canonical.y>>e},Hc.prototype.children=function(t){if(this.overscaledZ>=t)return[new Hc(this.overscaledZ+1,this.wrap,this.canonical.z,this.canonical.x,this.canonical.y)];var e=this.canonical.z+1,r=2*this.canonical.x,n=2*this.canonical.y;return[new Hc(e,this.wrap,e,r,n),new Hc(e,this.wrap,e,r+1,n),new Hc(e,this.wrap,e,r,n+1),new Hc(e,this.wrap,e,r+1,n+1)]},Hc.prototype.isLessThan=function(t){return this.wrapt.wrap)&&(this.overscaledZt.overscaledZ)&&(this.canonical.xt.canonical.x)&&this.canonical.y=this.dim+1||e<-1||e>=this.dim+1)throw new RangeError("out of range source coordinates for DEM data");return(e+1)*this.stride+(t+1)},Wc.prototype._unpackMapbox=function(t,e,r){return(256*t*256+256*e+r)/10-1e4},Wc.prototype._unpackTerrarium=function(t,e,r){return 256*t+e+r/256-32768},Wc.prototype.getPixels=function(){return new $o({width:this.stride,height:this.stride},new Uint8Array(this.data.buffer))},Wc.prototype.backfillBorder=function(t,e,r){if(this.dim!==t.dim)throw new Error("dem dimension mismatch");var n=e*this.dim,i=e*this.dim+this.dim,a=r*this.dim,o=r*this.dim+this.dim;switch(e){case-1:n=i-1;break;case 1:i=n+1}switch(r){case-1:a=o-1;break;case 1:o=a+1}for(var s=-e*this.dim,l=-r*this.dim,u=a;u=0&&c[3]>=0&&s.insert(o,c[0],c[1],c[2],c[3])}},Jc.prototype.loadVTLayers=function(){return this.vtLayers||(this.vtLayers=new tl.VectorTile(new Ol(this.rawTileData)).layers,this.sourceLayerCoder=new Yc(this.vtLayers?Object.keys(this.vtLayers).sort():["_geojsonTileLayer"])),this.vtLayers},Jc.prototype.query=function(t,e,r,n){var i=this;this.loadVTLayers();for(var o=t.params||{},s=po/t.tileSize/t.scale,l=An(o.filter),u=t.queryGeometry,c=t.queryPadding*s,f=Qc(u),h=this.grid.query(f.minX-c,f.minY-c,f.maxX+c,f.maxY+c),p=Qc(t.cameraQueryGeometry),d=0,v=this.grid3D.query(p.minX-c,p.minY-c,p.maxX+c,p.maxY+c,(function(e,r,n,i){return function(t,e,r,n,i){for(var o=0,s=t;o=l.x&&i>=l.y)return!0}var u=[new a(e,r),new a(e,i),new a(n,i),new a(n,r)];if(t.length>2)for(var c=0,f=u;c=0)return!0;return!1}(a,f)){var h=this.sourceLayerCoder.decode(r),d=this.vtLayers[h].feature(n);if(i.needGeometry){var v=mo(d,!0);if(!i.filter(new Di(this.tileID.overscaledZ),v,this.tileID.canonical))return}else if(!i.filter(new Di(this.tileID.overscaledZ),d))return;for(var g=this.getId(d,h),y=0;yn)i=!1;else if(e)if(this.expirationTimeht&&(t.getActor().send("enforceCacheSizeLimit",ft),xt=0)},t.clamp=f,t.clearTileCache=function(t){var e=s.caches.delete(ct);t&&e.catch(t).then((function(){return t()}))},t.clipLine=Fu,t.clone=function(t){var e=new Fo(16);return e[0]=t[0],e[1]=t[1],e[2]=t[2],e[3]=t[3],e[4]=t[4],e[5]=t[5],e[6]=t[6],e[7]=t[7],e[8]=t[8],e[9]=t[9],e[10]=t[10],e[11]=t[11],e[12]=t[12],e[13]=t[13],e[14]=t[14],e[15]=t[15],e},t.clone$1=w,t.clone$2=function(t){var e=new Fo(3);return e[0]=t[0],e[1]=t[1],e[2]=t[2],e},t.collisionCircleLayout=Ml,t.config=j,t.create=function(){var t=new Fo(16);return Fo!=Float32Array&&(t[1]=0,t[2]=0,t[3]=0,t[4]=0,t[6]=0,t[7]=0,t[8]=0,t[9]=0,t[11]=0,t[12]=0,t[13]=0,t[14]=0),t[0]=1,t[5]=1,t[10]=1,t[15]=1,t},t.create$1=function(){var t=new Fo(9);return Fo!=Float32Array&&(t[1]=0,t[2]=0,t[3]=0,t[5]=0,t[6]=0,t[7]=0),t[0]=1,t[4]=1,t[8]=1,t},t.create$2=function(){var t=new Fo(4);return Fo!=Float32Array&&(t[1]=0,t[2]=0),t[0]=1,t[3]=1,t},t.createCommonjsModule=e,t.createExpression=fn,t.createLayout=ta,t.createStyleLayer=function(t){return"custom"===t.type?new _c(t):new wc[t.type](t)},t.cross=function(t,e,r){var n=e[0],i=e[1],a=e[2],o=r[0],s=r[1],l=r[2];return t[0]=i*l-a*s,t[1]=a*o-n*l,t[2]=n*s-i*o,t},t.deepEqual=function t(e,r){if(Array.isArray(e)){if(!Array.isArray(r)||e.length!==r.length)return!1;for(var n=0;n0&&(a=1/Math.sqrt(a)),t[0]=e[0]*a,t[1]=e[1]*a,t[2]=e[2]*a,t},t.number=er,t.offscreenCanvasSupported=bt,t.ortho=function(t,e,r,n,i,a,o){var s=1/(e-r),l=1/(n-i),u=1/(a-o);return t[0]=-2*s,t[1]=0,t[2]=0,t[3]=0,t[4]=0,t[5]=-2*l,t[6]=0,t[7]=0,t[8]=0,t[9]=0,t[10]=2*u,t[11]=0,t[12]=(e+r)*s,t[13]=(i+n)*l,t[14]=(o+a)*u,t[15]=1,t},t.parseGlyphPBF=function(t){return new Ol(t).readFields(Ql,[])},t.pbf=Ol,t.performSymbolLayout=function(t,e,r,n,i,a,o){t.createArrays();var s=512*t.overscaling;t.tilePixelRatio=po/s,t.compareText={},t.iconsNeedLinear=!1;var l=t.layers[0].layout,u=t.layers[0]._unevaluatedLayout._values,c={};if("composite"===t.textSizeData.kind){var f=t.textSizeData,h=f.minZoom,p=f.maxZoom;c.compositeTextSizes=[u["text-size"].possiblyEvaluate(new Di(h),o),u["text-size"].possiblyEvaluate(new Di(p),o)]}if("composite"===t.iconSizeData.kind){var d=t.iconSizeData,v=d.minZoom,g=d.maxZoom;c.compositeIconSizes=[u["icon-size"].possiblyEvaluate(new Di(v),o),u["icon-size"].possiblyEvaluate(new Di(g),o)]}c.layoutTextSize=u["text-size"].possiblyEvaluate(new Di(t.zoom+1),o),c.layoutIconSize=u["icon-size"].possiblyEvaluate(new Di(t.zoom+1),o),c.textMaxSize=u["text-size"].possiblyEvaluate(new Di(18));for(var y=l.get("text-line-height")*Ll,m="map"===l.get("text-rotation-alignment")&&"point"!==l.get("symbol-placement"),x=l.get("text-keep-upright"),b=l.get("text-size"),_=function(){var a=T[w],s=l.get("text-font").evaluate(a,{},o).join(","),u=b.evaluate(a,{},o),f=c.layoutTextSize.evaluate(a,{},o),h=c.layoutIconSize.evaluate(a,{},o),p={horizontal:{},vertical:void 0},d=a.text,v=[0,0];if(d){var g=d.toString(),_=l.get("text-letter-spacing").evaluate(a,{},o)*Ll,A=function(t){for(var e=0,r=t;e=po||f.y<0||f.y>=po||function(t,e,r,n,i,a,o,s,l,u,c,f,h,p,d,v,g,y,m,x,b,_,w,T,A){var M,S,E,L,C,P=t.addToLineVertexArray(e,r),O=0,I=0,D=0,z=0,R=-1,F=-1,B={},N=ja(""),j=0,U=0;if(void 0===s._unevaluatedLayout.getValue("text-radial-offset")?(j=(M=s.layout.get("text-offset").evaluate(b,{},T).map((function(t){return t*Ll})))[0],U=M[1]):(j=s.layout.get("text-radial-offset").evaluate(b,{},T)*Ll,U=Ju),t.allowVerticalPlacement&&n.vertical){var V=s.layout.get("text-rotate").evaluate(b,{},T)+90,q=n.vertical;L=new Hu(l,e,u,c,f,q,h,p,d,V),o&&(C=new Hu(l,e,u,c,f,o,g,y,d,V))}if(i){var H=s.layout.get("icon-rotate").evaluate(b,{}),G="none"!==s.layout.get("icon-text-fit"),W=Nu(i,H,w,G),Y=o?Nu(o,H,w,G):void 0;E=new Hu(l,e,u,c,f,i,g,y,!1,H),O=4*W.length;var X=t.iconSizeData,Z=null;"source"===X.kind?(Z=[Au*s.layout.get("icon-size").evaluate(b,{})])[0]>ec&&k(t.layerIds[0]+': Value for "icon-size" is >= '+tc+'. Reduce your "icon-size".'):"composite"===X.kind&&((Z=[Au*_.compositeIconSizes[0].evaluate(b,{},T),Au*_.compositeIconSizes[1].evaluate(b,{},T)])[0]>ec||Z[1]>ec)&&k(t.layerIds[0]+': Value for "icon-size" is >= '+tc+'. Reduce your "icon-size".'),t.addSymbols(t.icon,W,Z,x,m,b,!1,e,P.lineStartIndex,P.lineLength,-1,T),R=t.icon.placedSymbolArray.length-1,Y&&(I=4*Y.length,t.addSymbols(t.icon,Y,Z,x,m,b,lu.vertical,e,P.lineStartIndex,P.lineLength,-1,T),F=t.icon.placedSymbolArray.length-1)}for(var K in n.horizontal){var J=n.horizontal[K];if(!S){N=ja(J.text);var $=s.layout.get("text-rotate").evaluate(b,{},T);S=new Hu(l,e,u,c,f,J,h,p,d,$)}var Q=1===J.positionedLines.length;if(D+=rc(t,e,J,a,s,d,b,v,P,n.vertical?lu.horizontal:lu.horizontalOnly,Q?Object.keys(n.horizontal):[K],B,R,_,T),Q)break}n.vertical&&(z+=rc(t,e,n.vertical,a,s,d,b,v,P,lu.vertical,["vertical"],B,F,_,T));var tt=S?S.boxStartIndex:t.collisionBoxArray.length,et=S?S.boxEndIndex:t.collisionBoxArray.length,rt=L?L.boxStartIndex:t.collisionBoxArray.length,nt=L?L.boxEndIndex:t.collisionBoxArray.length,it=E?E.boxStartIndex:t.collisionBoxArray.length,at=E?E.boxEndIndex:t.collisionBoxArray.length,ot=C?C.boxStartIndex:t.collisionBoxArray.length,st=C?C.boxEndIndex:t.collisionBoxArray.length,lt=-1,ut=function(t,e){return t&&t.circleDiameter?Math.max(t.circleDiameter,e):e};lt=ut(S,lt),lt=ut(L,lt),lt=ut(E,lt);var ct=(lt=ut(C,lt))>-1?1:0;ct&&(lt*=A/Ll),t.glyphOffsetArray.length>=hc.MAX_GLYPHS&&k("Too many glyphs being rendered in a tile. See https://github.com/mapbox/mapbox-gl-js/issues/2907"),void 0!==b.sortKey&&t.addToSortKeyRanges(t.symbolInstances.length,b.sortKey),t.symbolInstances.emplaceBack(e.x,e.y,B.right>=0?B.right:-1,B.center>=0?B.center:-1,B.left>=0?B.left:-1,B.vertical||-1,R,F,N,tt,et,rt,nt,it,at,ot,st,u,D,z,O,I,ct,0,h,j,U,lt)}(t,f,s,r,n,i,h,t.layers[0],t.collisionBoxArray,e.index,e.sourceLayerIndex,t.index,m,w,M,l,b,T,S,d,e,a,u,c,o)};if("line"===E)for(var O=0,I=Fu(e.geometry,0,0,po,po);O1){var U=Du(j,A,r.vertical||v,n,g,x);U&&P(j,U)}}else if("Polygon"===e.type)for(var V=0,q=Fs(e.geometry,0);V=E.maxzoom||"none"!==E.visibility&&(o(S,this.zoom,n),(v[E.id]=E.createBucket({index:c.bucketLayerIDs.length,layers:S,zoom:this.zoom,pixelRatio:this.pixelRatio,overscaling:this.overscaling,collisionBoxArray:this.collisionBoxArray,sourceLayerIndex:b,sourceID:this.source})).populate(_,g,this.tileID.canonical),c.bucketLayerIDs.push(S.map((function(t){return t.id}))))}}}var L=t.mapObject(g.glyphDependencies,(function(t){return Object.keys(t).map(Number)}));Object.keys(L).length?a.send("getGlyphs",{uid:this.uid,stacks:L},(function(t,e){f||(f=t,h=e,O.call(l))})):h={};var C=Object.keys(g.iconDependencies);C.length?a.send("getImages",{icons:C,source:this.source,tileID:this.tileID,type:"icons"},(function(t,e){f||(f=t,p=e,O.call(l))})):p={};var P=Object.keys(g.patternDependencies);function O(){if(f)return s(f);if(h&&p&&d){var e=new i(h),r=new t.ImageAtlas(p,d);for(var a in v){var l=v[a];l instanceof t.SymbolBucket?(o(l.layers,this.zoom,n),t.performSymbolLayout(l,h,e.positions,p,r.iconPositions,this.showCollisionBoxes,this.tileID.canonical)):l.hasPattern&&(l instanceof t.LineBucket||l instanceof t.FillBucket||l instanceof t.FillExtrusionBucket)&&(o(l.layers,this.zoom,n),l.addFeatures(g,this.tileID.canonical,r.patternPositions))}this.status="done",s(null,{buckets:t.values(v).filter((function(t){return!t.isEmpty()})),featureIndex:c,collisionBoxArray:this.collisionBoxArray,glyphAtlasImage:e.image,imageAtlas:r,glyphMap:this.returnDependencies?h:null,iconMap:this.returnDependencies?p:null,glyphPositions:this.returnDependencies?e.positions:null})}}P.length?a.send("getImages",{icons:P,source:this.source,tileID:this.tileID,type:"patterns"},(function(t,e){f||(f=t,d=e,O.call(l))})):d={},O.call(this)};var l=function(t,e,r,n){this.actor=t,this.layerIndex=e,this.availableImages=r,this.loadVectorData=n||s,this.loading={},this.loaded={}};l.prototype.loadTile=function(e,r){var n=this,i=e.uid;this.loading||(this.loading={});var o=!!(e&&e.request&&e.request.collectResourceTiming)&&new t.RequestPerformance(e.request),s=this.loading[i]=new a(e);s.abort=this.loadVectorData(e,(function(e,a){if(delete n.loading[i],e||!a)return s.status="done",n.loaded[i]=s,r(e);var l=a.rawData,u={};a.expires&&(u.expires=a.expires),a.cacheControl&&(u.cacheControl=a.cacheControl);var c={};if(o){var f=o.finish();f&&(c.resourceTiming=JSON.parse(JSON.stringify(f)))}s.vectorTile=a.vectorTile,s.parse(a.vectorTile,n.layerIndex,n.availableImages,n.actor,(function(e,n){if(e||!n)return r(e);r(null,t.extend({rawTileData:l.slice(0)},n,u,c))})),n.loaded=n.loaded||{},n.loaded[i]=s}))},l.prototype.reloadTile=function(t,e){var r=this,n=this.loaded,i=t.uid,a=this;if(n&&n[i]){var o=n[i];o.showCollisionBoxes=t.showCollisionBoxes;var s=function(t,n){var i=o.reloadCallback;i&&(delete o.reloadCallback,o.parse(o.vectorTile,a.layerIndex,r.availableImages,a.actor,i)),e(t,n)};"parsing"===o.status?o.reloadCallback=s:"done"===o.status&&(o.vectorTile?o.parse(o.vectorTile,this.layerIndex,this.availableImages,this.actor,s):s())}},l.prototype.abortTile=function(t,e){var r=this.loading,n=t.uid;r&&r[n]&&r[n].abort&&(r[n].abort(),delete r[n]),e()},l.prototype.removeTile=function(t,e){var r=this.loaded,n=t.uid;r&&r[n]&&delete r[n],e()};var u=t.window.ImageBitmap,c=function(){this.loaded={}};c.prototype.loadTile=function(e,r){var n=e.uid,i=e.encoding,a=e.rawImageData,o=u&&a instanceof u?this.getImageData(a):a,s=new t.DEMData(n,o,i);this.loaded=this.loaded||{},this.loaded[n]=s,r(null,s)},c.prototype.getImageData=function(e){this.offscreenCanvas&&this.offscreenCanvasContext||(this.offscreenCanvas=new OffscreenCanvas(e.width,e.height),this.offscreenCanvasContext=this.offscreenCanvas.getContext("2d")),this.offscreenCanvas.width=e.width,this.offscreenCanvas.height=e.height,this.offscreenCanvasContext.drawImage(e,0,0,e.width,e.height);var r=this.offscreenCanvasContext.getImageData(-1,-1,e.width+2,e.height+2);return this.offscreenCanvasContext.clearRect(0,0,this.offscreenCanvas.width,this.offscreenCanvas.height),new t.RGBAImage({width:r.width,height:r.height},r.data)},c.prototype.removeTile=function(t){var e=this.loaded,r=t.uid;e&&e[r]&&delete e[r]};var f=function t(e,r){var n,i=e&&e.type;if("FeatureCollection"===i)for(n=0;n=0!=!!e&&t.reverse()}var d=t.vectorTile.VectorTileFeature.prototype.toGeoJSON,v=function(e){this._feature=e,this.extent=t.EXTENT,this.type=e.type,this.properties=e.tags,"id"in e&&!isNaN(e.id)&&(this.id=parseInt(e.id,10))};v.prototype.loadGeometry=function(){if(1===this._feature.type){for(var e=[],r=0,n=this._feature.geometry;r>31}function P(t,e){for(var r=t.loadGeometry(),n=t.type,i=0,a=0,o=r.length,s=0;s>1;D(t,e,o,n,i,a%2),I(t,e,r,n,o-1,a+1),I(t,e,r,o+1,i,a+1)}}function D(t,e,r,n,i,a){for(;i>n;){if(i-n>600){var o=i-n+1,s=r-n+1,l=Math.log(o),u=.5*Math.exp(2*l/3),c=.5*Math.sqrt(l*u*(o-u)/o)*(s-o/2<0?-1:1);D(t,e,r,Math.max(n,Math.floor(r-s*u/o+c)),Math.min(i,Math.floor(r+(o-s)*u/o+c)),a)}var f=e[2*r+a],h=n,p=i;for(z(t,e,n,r),e[2*i+a]>f&&z(t,e,n,i);hf;)p--}e[2*n+a]===f?z(t,e,n,p):z(t,e,++p,i),p<=r&&(n=p+1),r<=p&&(i=p-1)}}function z(t,e,r,n){R(t,r,n),R(e,2*r,2*n),R(e,2*r+1,2*n+1)}function R(t,e,r){var n=t[e];t[e]=t[r],t[r]=n}function F(t,e,r,n){var i=t-r,a=e-n;return i*i+a*a}_.fromVectorTileJs=w,_.fromGeojsonVt=T,_.GeoJSONWrapper=k;var B=function(t){return t[0]},N=function(t){return t[1]},j=function(t,e,r,n,i){void 0===e&&(e=B),void 0===r&&(r=N),void 0===n&&(n=64),void 0===i&&(i=Float64Array),this.nodeSize=n,this.points=t;for(var a=t.length<65536?Uint16Array:Uint32Array,o=this.ids=new a(t.length),s=this.coords=new i(2*t.length),l=0;l=r&&s<=i&&l>=n&&l<=a&&c.push(t[d]);else{var v=Math.floor((p+h)/2);s=e[2*v],l=e[2*v+1],s>=r&&s<=i&&l>=n&&l<=a&&c.push(t[v]);var g=(f+1)%2;(0===f?r<=s:n<=l)&&(u.push(p),u.push(v-1),u.push(g)),(0===f?i>=s:a>=l)&&(u.push(v+1),u.push(h),u.push(g))}}return c}(this.ids,this.coords,t,e,r,n,this.nodeSize)},j.prototype.within=function(t,e,r){return function(t,e,r,n,i,a){for(var o=[0,t.length-1,0],s=[],l=i*i;o.length;){var u=o.pop(),c=o.pop(),f=o.pop();if(c-f<=a)for(var h=f;h<=c;h++)F(e[2*h],e[2*h+1],r,n)<=l&&s.push(t[h]);else{var p=Math.floor((f+c)/2),d=e[2*p],v=e[2*p+1];F(d,v,r,n)<=l&&s.push(t[p]);var g=(u+1)%2;(0===u?r-i<=d:n-i<=v)&&(o.push(f),o.push(p-1),o.push(g)),(0===u?r+i>=d:n+i>=v)&&(o.push(p+1),o.push(c),o.push(g))}}return s}(this.ids,this.coords,t,e,r,this.nodeSize)};var U={minZoom:0,maxZoom:16,minPoints:2,radius:40,extent:512,nodeSize:64,log:!1,generateId:!1,reduce:null,map:function(t){return t}},V=function(t){this.options=Z(Object.create(U),t),this.trees=new Array(this.options.maxZoom+1)};function q(t,e,r,n,i){return{x:t,y:e,zoom:1/0,id:r,parentId:-1,numPoints:n,properties:i}}function H(t,e){var r=t.geometry.coordinates,n=r[0],i=r[1];return{x:Y(n),y:X(i),zoom:1/0,index:e,parentId:-1}}function G(t){return{type:"Feature",id:t.id,properties:W(t),geometry:{type:"Point",coordinates:[(n=t.x,360*(n-.5)),(e=t.y,r=(180-360*e)*Math.PI/180,360*Math.atan(Math.exp(r))/Math.PI-90)]}};var e,r,n}function W(t){var e=t.numPoints,r=e>=1e4?Math.round(e/1e3)+"k":e>=1e3?Math.round(e/100)/10+"k":e;return Z(Z({},t.properties),{cluster:!0,cluster_id:t.id,point_count:e,point_count_abbreviated:r})}function Y(t){return t/360+.5}function X(t){var e=Math.sin(t*Math.PI/180),r=.5-.25*Math.log((1+e)/(1-e))/Math.PI;return r<0?0:r>1?1:r}function Z(t,e){for(var r in e)t[r]=e[r];return t}function K(t){return t.x}function J(t){return t.y}function $(t,e,r,n){for(var i,a=n,o=r-e>>1,s=r-e,l=t[e],u=t[e+1],c=t[r],f=t[r+1],h=e+3;ha)i=h,a=p;else if(p===a){var d=Math.abs(h-o);dn&&(i-e>3&&$(t,e,i,n),t[i+2]=a,r-i>3&&$(t,i,r,n))}function Q(t,e,r,n,i,a){var o=i-r,s=a-n;if(0!==o||0!==s){var l=((t-r)*o+(e-n)*s)/(o*o+s*s);l>1?(r=i,n=a):l>0&&(r+=o*l,n+=s*l)}return(o=t-r)*o+(s=e-n)*s}function tt(t,e,r,n){var i={id:void 0===t?null:t,type:e,geometry:r,tags:n,minX:1/0,minY:1/0,maxX:-1/0,maxY:-1/0};return function(t){var e=t.geometry,r=t.type;if("Point"===r||"MultiPoint"===r||"LineString"===r)et(t,e);else if("Polygon"===r||"MultiLineString"===r)for(var n=0;n0&&(o+=n?(i*u-l*a)/2:Math.sqrt(Math.pow(l-i,2)+Math.pow(u-a,2))),i=l,a=u}var c=e.length-3;e[2]=1,$(e,0,c,r),e[c+2]=1,e.size=Math.abs(o),e.start=0,e.end=e.size}function at(t,e,r,n){for(var i=0;i1?1:r}function lt(t,e,r,n,i,a,o,s){if(n/=e,a>=(r/=e)&&o=n)return null;for(var l=[],u=0;u=r&&d=n)){var v=[];if("Point"===h||"MultiPoint"===h)ut(f,v,r,n,i);else if("LineString"===h)ct(f,v,r,n,i,!1,s.lineMetrics);else if("MultiLineString"===h)ht(f,v,r,n,i,!1);else if("Polygon"===h)ht(f,v,r,n,i,!0);else if("MultiPolygon"===h)for(var g=0;g=r&&o<=n&&(e.push(t[a]),e.push(t[a+1]),e.push(t[a+2]))}}function ct(t,e,r,n,i,a,o){for(var s,l,u=ft(t),c=0===i?dt:vt,f=t.start,h=0;hr&&(l=c(u,p,d,g,y,r),o&&(u.start=f+s*l)):m>n?x=r&&(l=c(u,p,d,g,y,r),b=!0),x>n&&m<=n&&(l=c(u,p,d,g,y,n),b=!0),!a&&b&&(o&&(u.end=f+s*l),e.push(u),u=ft(t)),o&&(f+=s)}var _=t.length-3;p=t[_],d=t[_+1],v=t[_+2],(m=0===i?p:d)>=r&&m<=n&&pt(u,p,d,v),_=u.length-3,a&&_>=3&&(u[_]!==u[0]||u[_+1]!==u[1])&&pt(u,u[0],u[1],u[2]),u.length&&e.push(u)}function ft(t){var e=[];return e.size=t.size,e.start=t.start,e.end=t.end,e}function ht(t,e,r,n,i,a){for(var o=0;oo.maxX&&(o.maxX=c),f>o.maxY&&(o.maxY=f)}return o}function _t(t,e,r,n){var i=e.geometry,a=e.type,o=[];if("Point"===a||"MultiPoint"===a)for(var s=0;s0&&e.size<(i?o:n))r.numPoints+=e.length/3;else{for(var s=[],l=0;lo)&&(r.numSimplified++,s.push(e[l]),s.push(e[l+1])),r.numPoints++;i&&function(t,e){for(var r=0,n=0,i=t.length,a=i-2;n0===e)for(n=0,i=t.length;n24)throw new Error("maxZoom should be in the 0-24 range");if(e.promoteId&&e.generateId)throw new Error("promoteId and generateId cannot be used together.");var n=function(t,e){var r=[];if("FeatureCollection"===t.type)for(var n=0;n=n;u--){var c=+Date.now();s=this._cluster(s,u),this.trees[u]=new j(s,K,J,a,Float32Array),r&&console.log("z%d: %d clusters in %dms",u,s.length,+Date.now()-c)}return r&&console.timeEnd("total time"),this},V.prototype.getClusters=function(t,e){var r=((t[0]+180)%360+360)%360-180,n=Math.max(-90,Math.min(90,t[1])),i=180===t[2]?180:((t[2]+180)%360+360)%360-180,a=Math.max(-90,Math.min(90,t[3]));if(t[2]-t[0]>=360)r=-180,i=180;else if(r>i){var o=this.getClusters([r,n,180,a],e),s=this.getClusters([-180,n,i,a],e);return o.concat(s)}for(var l=this.trees[this._limitZoom(e)],u=[],c=0,f=l.range(Y(r),X(a),Y(i),X(n));ce&&(d+=m.numPoints||1)}if(d>=s){for(var x=c.x*p,b=c.y*p,_=o&&p>1?this._map(c,!0):null,w=(u<<5)+(e+1)+this.points.length,T=0,k=h;T1)for(var E=0,L=h;E>5},V.prototype._getOriginZoom=function(t){return(t-this.points.length)%32},V.prototype._map=function(t,e){if(t.numPoints)return e?Z({},t.properties):t.properties;var r=this.points[t.index].properties,n=this.options.map(r);return e&&n===r?Z({},n):n},Tt.prototype.options={maxZoom:14,indexMaxZoom:5,indexMaxPoints:1e5,tolerance:3,extent:4096,buffer:64,lineMetrics:!1,promoteId:null,generateId:!1,debug:0},Tt.prototype.splitTile=function(t,e,r,n,i,a,o){for(var s=[t,e,r,n],l=this.options,u=l.debug;s.length;){n=s.pop(),r=s.pop(),e=s.pop(),t=s.pop();var c=1<1&&console.time("creation"),h=this.tiles[f]=bt(t,e,r,n,l),this.tileCoords.push({z:e,x:r,y:n}),u)){u>1&&(console.log("tile z%d-%d-%d (features: %d, points: %d, simplified: %d)",e,r,n,h.numFeatures,h.numPoints,h.numSimplified),console.timeEnd("creation"));var p="z"+e;this.stats[p]=(this.stats[p]||0)+1,this.total++}if(h.source=t,i){if(e===l.maxZoom||e===i)continue;var d=1<1&&console.time("clipping");var v,g,y,m,x,b,_=.5*l.buffer/l.extent,w=.5-_,T=.5+_,k=1+_;v=g=y=m=null,x=lt(t,c,r-_,r+T,0,h.minX,h.maxX,l),b=lt(t,c,r+w,r+k,0,h.minX,h.maxX,l),t=null,x&&(v=lt(x,c,n-_,n+T,1,h.minY,h.maxY,l),g=lt(x,c,n+w,n+k,1,h.minY,h.maxY,l),x=null),b&&(y=lt(b,c,n-_,n+T,1,h.minY,h.maxY,l),m=lt(b,c,n+w,n+k,1,h.minY,h.maxY,l),b=null),u>1&&console.timeEnd("clipping"),s.push(v||[],e+1,2*r,2*n),s.push(g||[],e+1,2*r,2*n+1),s.push(y||[],e+1,2*r+1,2*n),s.push(m||[],e+1,2*r+1,2*n+1)}}},Tt.prototype.getTile=function(t,e,r){var n=this.options,i=n.extent,a=n.debug;if(t<0||t>24)return null;var o=1<1&&console.log("drilling down to z%d-%d-%d",t,e,r);for(var l,u=t,c=e,f=r;!l&&u>0;)u--,c=Math.floor(c/2),f=Math.floor(f/2),l=this.tiles[kt(u,c,f)];return l&&l.source?(a>1&&console.log("found parent tile z%d-%d-%d",u,c,f),a>1&&console.time("drilling down"),this.splitTile(l.source,u,c,f,t,e,r),a>1&&console.timeEnd("drilling down"),this.tiles[s]?mt(this.tiles[s],i):null):null};var Mt=function(e){function r(t,r,n,i){e.call(this,t,r,n,At),i&&(this.loadGeoJSON=i)}return e&&(r.__proto__=e),r.prototype=Object.create(e&&e.prototype),r.prototype.constructor=r,r.prototype.loadData=function(t,e){this._pendingCallback&&this._pendingCallback(null,{abandoned:!0}),this._pendingCallback=e,this._pendingLoadDataParams=t,this._state&&"Idle"!==this._state?this._state="NeedsLoadData":(this._state="Coalescing",this._loadData())},r.prototype._loadData=function(){var e=this;if(this._pendingCallback&&this._pendingLoadDataParams){var r=this._pendingCallback,n=this._pendingLoadDataParams;delete this._pendingCallback,delete this._pendingLoadDataParams;var i=!!(n&&n.request&&n.request.collectResourceTiming)&&new t.RequestPerformance(n.request);this.loadGeoJSON(n,(function(a,o){if(a||!o)return r(a);if("object"!=typeof o)return r(new Error("Input data given to '"+n.source+"' is not a valid GeoJSON object."));f(o,!0);try{if(n.filter){var s=t.createExpression(n.filter,{type:"boolean","property-type":"data-driven",overridable:!1,transition:!1});if("error"===s.result)throw new Error(s.value.map((function(t){return t.key+": "+t.message})).join(", "));var l=o.features.filter((function(t){return s.value.evaluate({zoom:0},t)}));o={type:"FeatureCollection",features:l}}e._geoJSONIndex=n.cluster?new V(function(e){var r=e.superclusterOptions,n=e.clusterProperties;if(!n||!r)return r;for(var i={},a={},o={accumulated:null,zoom:0},s={properties:null},l=Object.keys(n),u=0,c=l;u=0?0:e.button},r.remove=function(t){t.parentNode&&t.parentNode.removeChild(t)};var h=function(e){function r(){e.call(this),this.images={},this.updatedImages={},this.callbackDispatchedThisFrame={},this.loaded=!1,this.requestors=[],this.patterns={},this.atlasImage=new t.RGBAImage({width:1,height:1}),this.dirty=!0}return e&&(r.__proto__=e),r.prototype=Object.create(e&&e.prototype),r.prototype.constructor=r,r.prototype.isLoaded=function(){return this.loaded},r.prototype.setLoaded=function(t){if(this.loaded!==t&&(this.loaded=t,t)){for(var e=0,r=this.requestors;e=0?1.2:1))}function y(t,e,r,n,i,a,o){for(var s=0;s65535)e(new Error("glyphs > 65535 not supported"));else if(a.ranges[s])e(null,{stack:r,id:i,glyph:o});else{var l=a.requests[s];l||(l=a.requests[s]=[],x.loadGlyphRange(r,s,n.url,n.requestManager,(function(t,e){if(e){for(var r in e)n._doesCharSupportLocalGlyph(+r)||(a.glyphs[+r]=e[+r]);a.ranges[s]=!0}for(var i=0,o=l;i1&&(l=t[++s]);var c=Math.abs(u-l.left),f=Math.abs(u-l.right),h=Math.min(c,f),p=void 0,d=i/r*(n+1);if(l.isDash){var v=n-Math.abs(d);p=Math.sqrt(h*h+v*v)}else p=n-Math.sqrt(h*h+d*d);this.data[o+u]=Math.max(0,Math.min(255,p+128))}},k.prototype.addRegularDash=function(t){for(var e=t.length-1;e>=0;--e){var r=t[e],n=t[e+1];r.zeroLength?t.splice(e,1):n&&n.isDash===r.isDash&&(n.left=r.left,t.splice(e,1))}var i=t[0],a=t[t.length-1];i.isDash===a.isDash&&(i.left=a.left-this.width,a.right=i.right+this.width);for(var o=this.width*this.nextRow,s=0,l=t[s],u=0;u1&&(l=t[++s]);var c=Math.abs(u-l.left),f=Math.abs(u-l.right),h=Math.min(c,f),p=l.isDash?h:-h;this.data[o+u]=Math.max(0,Math.min(255,p+128))}},k.prototype.addDash=function(e,r){var n=r?7:0,i=2*n+1;if(this.nextRow+i>this.height)return t.warnOnce("LineAtlas out of space"),null;for(var a=0,o=0;o=n&&e.x=i&&e.y0&&(l[new t.OverscaledTileID(e.overscaledZ,a,r.z,i,r.y-1).key]={backfilled:!1},l[new t.OverscaledTileID(e.overscaledZ,e.wrap,r.z,r.x,r.y-1).key]={backfilled:!1},l[new t.OverscaledTileID(e.overscaledZ,s,r.z,o,r.y-1).key]={backfilled:!1}),r.y+10&&(n.resourceTiming=e._resourceTiming,e._resourceTiming=[]),e.fire(new t.Event("data",n))}}))},r.prototype.onAdd=function(t){this.map=t,this.load()},r.prototype.setData=function(e){var r=this;return this._data=e,this.fire(new t.Event("dataloading",{dataType:"source"})),this._updateWorkerData((function(e){if(e)r.fire(new t.ErrorEvent(e));else{var n={dataType:"source",sourceDataType:"content"};r._collectResourceTiming&&r._resourceTiming&&r._resourceTiming.length>0&&(n.resourceTiming=r._resourceTiming,r._resourceTiming=[]),r.fire(new t.Event("data",n))}})),this},r.prototype.getClusterExpansionZoom=function(t,e){return this.actor.send("geojson.getClusterExpansionZoom",{clusterId:t,source:this.id},e),this},r.prototype.getClusterChildren=function(t,e){return this.actor.send("geojson.getClusterChildren",{clusterId:t,source:this.id},e),this},r.prototype.getClusterLeaves=function(t,e,r,n){return this.actor.send("geojson.getClusterLeaves",{source:this.id,clusterId:t,limit:e,offset:r},n),this},r.prototype._updateWorkerData=function(e){var r=this;this._loaded=!1;var n=t.extend({},this.workerOptions),i=this._data;"string"==typeof i?(n.request=this.map._requestManager.transformRequest(t.browser.resolveURL(i),t.ResourceType.Source),n.request.collectResourceTiming=this._collectResourceTiming):n.data=JSON.stringify(i),this.actor.send(this.type+".loadData",n,(function(t,i){r._removed||i&&i.abandoned||(r._loaded=!0,i&&i.resourceTiming&&i.resourceTiming[r.id]&&(r._resourceTiming=i.resourceTiming[r.id].slice(0)),r.actor.send(r.type+".coalesce",{source:n.source},null),e(t))}))},r.prototype.loaded=function(){return this._loaded},r.prototype.loadTile=function(e,r){var n=this,i=e.actor?"reloadTile":"loadTile";e.actor=this.actor;var a={type:this.type,uid:e.uid,tileID:e.tileID,zoom:e.tileID.overscaledZ,maxZoom:this.maxzoom,tileSize:this.tileSize,source:this.id,pixelRatio:t.browser.devicePixelRatio,showCollisionBoxes:this.map.showCollisionBoxes,promoteId:this.promoteId};e.request=this.actor.send(i,a,(function(t,a){return delete e.request,e.unloadVectorData(),e.aborted?r(null):t?r(t):(e.loadVectorData(a,n.map.painter,"reloadTile"===i),r(null))}))},r.prototype.abortTile=function(t){t.request&&(t.request.cancel(),delete t.request),t.aborted=!0},r.prototype.unloadTile=function(t){t.unloadVectorData(),this.actor.send("removeTile",{uid:t.uid,type:this.type,source:this.id})},r.prototype.onRemove=function(){this._removed=!0,this.actor.send("removeSource",{type:this.type,source:this.id})},r.prototype.serialize=function(){return t.extend({},this._options,{type:this.type,data:this._data})},r.prototype.hasTransition=function(){return!1},r}(t.Evented),O=t.createLayout([{name:"a_pos",type:"Int16",components:2},{name:"a_texture_pos",type:"Int16",components:2}]),I=function(e){function r(t,r,n,i){e.call(this),this.id=t,this.dispatcher=n,this.coordinates=r.coordinates,this.type="image",this.minzoom=0,this.maxzoom=22,this.tileSize=512,this.tiles={},this._loaded=!1,this.setEventedParent(i),this.options=r}return e&&(r.__proto__=e),r.prototype=Object.create(e&&e.prototype),r.prototype.constructor=r,r.prototype.load=function(e,r){var n=this;this._loaded=!1,this.fire(new t.Event("dataloading",{dataType:"source"})),this.url=this.options.url,t.getImage(this.map._requestManager.transformRequest(this.url,t.ResourceType.Image),(function(i,a){n._loaded=!0,i?n.fire(new t.ErrorEvent(i)):a&&(n.image=a,e&&(n.coordinates=e),r&&r(),n._finishLoading())}))},r.prototype.loaded=function(){return this._loaded},r.prototype.updateImage=function(t){var e=this;return this.image&&t.url?(this.options.url=t.url,this.load(t.coordinates,(function(){e.texture=null})),this):this},r.prototype._finishLoading=function(){this.map&&(this.setCoordinates(this.coordinates),this.fire(new t.Event("data",{dataType:"source",sourceDataType:"metadata"})))},r.prototype.onAdd=function(t){this.map=t,this.load()},r.prototype.setCoordinates=function(e){var r=this;this.coordinates=e;var n=e.map(t.MercatorCoordinate.fromLngLat);this.tileID=function(e){for(var r=1/0,n=1/0,i=-1/0,a=-1/0,o=0,s=e;or.end(0)?this.fire(new t.ErrorEvent(new t.ValidationError("sources."+this.id,null,"Playback for this video can be set only between the "+r.start(0)+" and "+r.end(0)+"-second mark."))):this.video.currentTime=e}},r.prototype.getVideo=function(){return this.video},r.prototype.onAdd=function(t){this.map||(this.map=t,this.load(),this.video&&(this.video.play(),this.setCoordinates(this.coordinates)))},r.prototype.prepare=function(){if(!(0===Object.keys(this.tiles).length||this.video.readyState<2)){var e=this.map.painter.context,r=e.gl;for(var n in this.boundsBuffer||(this.boundsBuffer=e.createVertexBuffer(this._boundsArray,O.members)),this.boundsSegments||(this.boundsSegments=t.SegmentVector.simpleSegment(0,0,4,2)),this.texture?this.video.paused||(this.texture.bind(r.LINEAR,r.CLAMP_TO_EDGE),r.texSubImage2D(r.TEXTURE_2D,0,0,0,r.RGBA,r.UNSIGNED_BYTE,this.video)):(this.texture=new t.Texture(e,this.video,r.RGBA),this.texture.bind(r.LINEAR,r.CLAMP_TO_EDGE)),this.tiles){var i=this.tiles[n];"loaded"!==i.state&&(i.state="loaded",i.texture=this.texture)}}},r.prototype.serialize=function(){return{type:"video",urls:this.urls,coordinates:this.coordinates}},r.prototype.hasTransition=function(){return this.video&&!this.video.paused},r}(I),z=function(e){function r(r,n,i,a){e.call(this,r,n,i,a),n.coordinates?Array.isArray(n.coordinates)&&4===n.coordinates.length&&!n.coordinates.some((function(t){return!Array.isArray(t)||2!==t.length||t.some((function(t){return"number"!=typeof t}))}))||this.fire(new t.ErrorEvent(new t.ValidationError("sources."+r,null,'"coordinates" property must be an array of 4 longitude/latitude array pairs'))):this.fire(new t.ErrorEvent(new t.ValidationError("sources."+r,null,'missing required property "coordinates"'))),n.animate&&"boolean"!=typeof n.animate&&this.fire(new t.ErrorEvent(new t.ValidationError("sources."+r,null,'optional "animate" property must be a boolean value'))),n.canvas?"string"==typeof n.canvas||n.canvas instanceof t.window.HTMLCanvasElement||this.fire(new t.ErrorEvent(new t.ValidationError("sources."+r,null,'"canvas" must be either a string representing the ID of the canvas element from which to read, or an HTMLCanvasElement instance'))):this.fire(new t.ErrorEvent(new t.ValidationError("sources."+r,null,'missing required property "canvas"'))),this.options=n,this.animate=void 0===n.animate||n.animate}return e&&(r.__proto__=e),r.prototype=Object.create(e&&e.prototype),r.prototype.constructor=r,r.prototype.load=function(){this._loaded=!0,this.canvas||(this.canvas=this.options.canvas instanceof t.window.HTMLCanvasElement?this.options.canvas:t.window.document.getElementById(this.options.canvas)),this.width=this.canvas.width,this.height=this.canvas.height,this._hasInvalidDimensions()?this.fire(new t.ErrorEvent(new Error("Canvas dimensions cannot be less than or equal to zero."))):(this.play=function(){this._playing=!0,this.map.triggerRepaint()},this.pause=function(){this._playing&&(this.prepare(),this._playing=!1)},this._finishLoading())},r.prototype.getCanvas=function(){return this.canvas},r.prototype.onAdd=function(t){this.map=t,this.load(),this.canvas&&this.animate&&this.play()},r.prototype.onRemove=function(){this.pause()},r.prototype.prepare=function(){var e=!1;if(this.canvas.width!==this.width&&(this.width=this.canvas.width,e=!0),this.canvas.height!==this.height&&(this.height=this.canvas.height,e=!0),!this._hasInvalidDimensions()&&0!==Object.keys(this.tiles).length){var r=this.map.painter.context,n=r.gl;for(var i in this.boundsBuffer||(this.boundsBuffer=r.createVertexBuffer(this._boundsArray,O.members)),this.boundsSegments||(this.boundsSegments=t.SegmentVector.simpleSegment(0,0,4,2)),this.texture?(e||this._playing)&&this.texture.update(this.canvas,{premultiply:!0}):this.texture=new t.Texture(r,this.canvas,n.RGBA,{premultiply:!0}),this.tiles){var a=this.tiles[i];"loaded"!==a.state&&(a.state="loaded",a.texture=this.texture)}}},r.prototype.serialize=function(){return{type:"canvas",coordinates:this.coordinates}},r.prototype.hasTransition=function(){return this._playing},r.prototype._hasInvalidDimensions=function(){for(var t=0,e=[this.canvas.width,this.canvas.height];tthis.max){var o=this._getAndRemoveByKey(this.order[0]);o&&this.onRemove(o)}return this},j.prototype.has=function(t){return t.wrapped().key in this.data},j.prototype.getAndRemove=function(t){return this.has(t)?this._getAndRemoveByKey(t.wrapped().key):null},j.prototype._getAndRemoveByKey=function(t){var e=this.data[t].shift();return e.timeout&&clearTimeout(e.timeout),0===this.data[t].length&&delete this.data[t],this.order.splice(this.order.indexOf(t),1),e.value},j.prototype.getByKey=function(t){var e=this.data[t];return e?e[0].value:null},j.prototype.get=function(t){return this.has(t)?this.data[t.wrapped().key][0].value:null},j.prototype.remove=function(t,e){if(!this.has(t))return this;var r=t.wrapped().key,n=void 0===e?0:this.data[r].indexOf(e),i=this.data[r][n];return this.data[r].splice(n,1),i.timeout&&clearTimeout(i.timeout),0===this.data[r].length&&delete this.data[r],this.onRemove(i.value),this.order.splice(this.order.indexOf(r),1),this},j.prototype.setMaxSize=function(t){for(this.max=t;this.order.length>this.max;){var e=this._getAndRemoveByKey(this.order[0]);e&&this.onRemove(e)}return this},j.prototype.filter=function(t){var e=[];for(var r in this.data)for(var n=0,i=this.data[r];n1||(Math.abs(r)>1&&(1===Math.abs(r+i)?r+=i:1===Math.abs(r-i)&&(r-=i)),e.dem&&t.dem&&(t.dem.backfillBorder(e.dem,r,n),t.neighboringTiles&&t.neighboringTiles[a]&&(t.neighboringTiles[a].backfilled=!0)))}},r.prototype.getTile=function(t){return this.getTileByID(t.key)},r.prototype.getTileByID=function(t){return this._tiles[t]},r.prototype._retainLoadedChildren=function(t,e,r,n){for(var i in this._tiles){var a=this._tiles[i];if(!(n[i]||!a.hasData()||a.tileID.overscaledZ<=e||a.tileID.overscaledZ>r)){for(var o=a.tileID;a&&a.tileID.overscaledZ>e+1;){var s=a.tileID.scaledTo(a.tileID.overscaledZ-1);(a=this._tiles[s.key])&&a.hasData()&&(o=s)}for(var l=o;l.overscaledZ>e;)if(t[(l=l.scaledTo(l.overscaledZ-1)).key]){n[o.key]=o;break}}}},r.prototype.findLoadedParent=function(t,e){if(t.key in this._loadedParentTiles){var r=this._loadedParentTiles[t.key];return r&&r.tileID.overscaledZ>=e?r:null}for(var n=t.overscaledZ-1;n>=e;n--){var i=t.scaledTo(n),a=this._getLoadedTile(i);if(a)return a}},r.prototype._getLoadedTile=function(t){var e=this._tiles[t.key];return e&&e.hasData()?e:this._cache.getByKey(t.wrapped().key)},r.prototype.updateCacheSize=function(t){var e=(Math.ceil(t.width/this._source.tileSize)+1)*(Math.ceil(t.height/this._source.tileSize)+1),r=Math.floor(5*e),n="number"==typeof this._maxTileCacheSize?Math.min(this._maxTileCacheSize,r):r;this._cache.setMaxSize(n)},r.prototype.handleWrapJump=function(t){var e=(t-(void 0===this._prevLng?t:this._prevLng))/360,r=Math.round(e);if(this._prevLng=t,r){var n={};for(var i in this._tiles){var a=this._tiles[i];a.tileID=a.tileID.unwrapTo(a.tileID.wrap+r),n[a.tileID.key]=a}for(var o in this._tiles=n,this._timers)clearTimeout(this._timers[o]),delete this._timers[o];for(var s in this._tiles){var l=this._tiles[s];this._setTileReloadTimer(s,l)}}},r.prototype.update=function(e){var n=this;if(this.transform=e,this._sourceLoaded&&!this._paused){var i;this.updateCacheSize(e),this.handleWrapJump(this.transform.center.lng),this._coveredTiles={},this.used?this._source.tileID?i=e.getVisibleUnwrappedCoordinates(this._source.tileID).map((function(e){return new t.OverscaledTileID(e.canonical.z,e.wrap,e.canonical.z,e.canonical.x,e.canonical.y)})):(i=e.coveringTiles({tileSize:this._source.tileSize,minzoom:this._source.minzoom,maxzoom:this._source.maxzoom,roundZoom:this._source.roundZoom,reparseOverscaled:this._source.reparseOverscaled}),this._source.hasTile&&(i=i.filter((function(t){return n._source.hasTile(t)})))):i=[];var a=e.coveringZoomLevel(this._source),o=Math.max(a-r.maxOverzooming,this._source.minzoom),s=Math.max(a+r.maxUnderzooming,this._source.minzoom),l=this._updateRetainedTiles(i,a);if(Dt(this._source.type)){for(var u={},c={},f=0,h=Object.keys(l);fthis._source.maxzoom){var g=d.children(this._source.maxzoom)[0],y=this.getTile(g);if(y&&y.hasData()){n[g.key]=g;continue}}else{var m=d.children(this._source.maxzoom);if(n[m[0].key]&&n[m[1].key]&&n[m[2].key]&&n[m[3].key])continue}for(var x=v.wasRequested(),b=d.overscaledZ-1;b>=a;--b){var _=d.scaledTo(b);if(i[_.key])break;if(i[_.key]=!0,!(v=this.getTile(_))&&x&&(v=this._addTile(_)),v&&(n[_.key]=_,x=v.wasRequested(),v.hasData()))break}}}return n},r.prototype._updateLoadedParentTileCache=function(){for(var t in this._loadedParentTiles={},this._tiles){for(var e=[],r=void 0,n=this._tiles[t].tileID;n.overscaledZ>0;){if(n.key in this._loadedParentTiles){r=this._loadedParentTiles[n.key];break}e.push(n.key);var i=n.scaledTo(n.overscaledZ-1);if(r=this._getLoadedTile(i))break;n=i}for(var a=0,o=e;a0||(e.hasData()&&"reloading"!==e.state?this._cache.add(e.tileID,e,e.getExpiryTimeout()):(e.aborted=!0,this._abortTile(e),this._unloadTile(e))))},r.prototype.clearTiles=function(){for(var t in this._shouldReloadOnResume=!1,this._paused=!1,this._tiles)this._removeTile(t);this._cache.reset()},r.prototype.tilesIn=function(e,r,n){var i=this,a=[],o=this.transform;if(!o)return a;for(var s=n?o.getCameraQueryGeometry(e):e,l=e.map((function(t){return o.pointCoordinate(t)})),u=s.map((function(t){return o.pointCoordinate(t)})),c=this.getIds(),f=1/0,h=1/0,p=-1/0,d=-1/0,v=0,g=u;v=0&&y[1].y+g>=0){var m=l.map((function(t){return s.getTilePoint(t)})),x=u.map((function(t){return s.getTilePoint(t)}));a.push({tile:n,tileID:s,queryGeometry:m,cameraQueryGeometry:x,scale:v})}}},x=0;x=t.browser.now())return!0}return!1},r.prototype.setFeatureState=function(t,e,r){t=t||"_geojsonTileLayer",this._state.updateState(t,e,r)},r.prototype.removeFeatureState=function(t,e,r){t=t||"_geojsonTileLayer",this._state.removeFeatureState(t,e,r)},r.prototype.getFeatureState=function(t,e){return t=t||"_geojsonTileLayer",this._state.getState(t,e)},r.prototype.setDependencies=function(t,e,r){var n=this._tiles[t];n&&n.setDependencies(e,r)},r.prototype.reloadTilesForDependencies=function(t,e){for(var r in this._tiles)this._tiles[r].hasDependency(t,e)&&this._reloadTile(r,"reloading");this._cache.filter((function(r){return!r.hasDependency(t,e)}))},r}(t.Evented);function It(t,e){var r=Math.abs(2*t.wrap)-+(t.wrap<0),n=Math.abs(2*e.wrap)-+(e.wrap<0);return t.overscaledZ-e.overscaledZ||n-r||e.canonical.y-t.canonical.y||e.canonical.x-t.canonical.x}function Dt(t){return"raster"===t||"image"===t||"video"===t}function zt(){return new t.window.Worker(oa.workerUrl)}Ot.maxOverzooming=10,Ot.maxUnderzooming=3;var Rt="mapboxgl_preloaded_worker_pool",Ft=function(){this.active={}};Ft.prototype.acquire=function(t){if(!this.workers)for(this.workers=[];this.workers.length0?(i-o)/s:0;return this.points[a].mult(1-l).add(this.points[r].mult(l))};var Qt=function(t,e,r){var n=this.boxCells=[],i=this.circleCells=[];this.xCellCount=Math.ceil(t/r),this.yCellCount=Math.ceil(e/r);for(var a=0;a=-e[0]&&r<=e[0]&&n>=-e[1]&&n<=e[1]}function ae(e,r,n,i,a,o,s,l){var u=i?e.textSizeData:e.iconSizeData,c=t.evaluateSizeForZoom(u,n.transform.zoom),f=[256/n.width*2+1,256/n.height*2+1],h=i?e.text.dynamicLayoutVertexArray:e.icon.dynamicLayoutVertexArray;h.clear();for(var p=e.lineVertexArray,d=i?e.text.placedSymbolArray:e.icon.placedSymbolArray,v=n.transform.width/n.transform.height,g=!1,y=0;yMath.abs(n.x-r.x)*i?{useVertical:!0}:(e===t.WritingMode.vertical?r.yn.x)?{needsFlipping:!0}:null}function le(e,r,n,i,a,o,s,l,u,c,f,h,p,d){var v,g=r/24,y=e.lineOffsetX*g,m=e.lineOffsetY*g;if(e.numGlyphs>1){var x=e.glyphStartIndex+e.numGlyphs,b=e.lineStartIndex,_=e.lineStartIndex+e.lineLength,w=oe(g,l,y,m,n,f,h,e,u,o,p);if(!w)return{notEnoughRoom:!0};var T=re(w.first.point,s).point,k=re(w.last.point,s).point;if(i&&!n){var A=se(e.writingMode,T,k,d);if(A)return A}v=[w.first];for(var M=e.glyphStartIndex+1;M0?C.point:ue(h,L,S,1,a),O=se(e.writingMode,S,P,d);if(O)return O}var I=ce(g*l.getoffsetX(e.glyphStartIndex),y,m,n,f,h,e.segment,e.lineStartIndex,e.lineStartIndex+e.lineLength,u,o,p);if(!I)return{notEnoughRoom:!0};v=[I]}for(var D=0,z=v;D0?1:-1,v=0;i&&(d*=-1,v=Math.PI),d<0&&(v+=Math.PI);for(var g=d>0?l+s:l+s+1,y=a,m=a,x=0,b=0,_=Math.abs(p),w=[];x+b<=_;){if((g+=d)=u)return null;if(m=y,w.push(y),void 0===(y=h[g])){var T=new t.Point(c.getx(g),c.gety(g)),k=re(T,f);if(k.signedDistanceFromCamera>0)y=h[g]=k.point;else{var A=g-d;y=ue(0===x?o:new t.Point(c.getx(A),c.gety(A)),T,m,_-x+1,f)}}x+=b,b=m.dist(y)}var M=(_-x)/b,S=y.sub(m),E=S.mult(M)._add(m);E._add(S._unit()._perp()._mult(n*d));var L=v+Math.atan2(y.y-m.y,y.x-m.x);return w.push(E),{point:E,angle:L,path:w}}Qt.prototype.keysLength=function(){return this.boxKeys.length+this.circleKeys.length},Qt.prototype.insert=function(t,e,r,n,i){this._forEachCell(e,r,n,i,this._insertBoxCell,this.boxUid++),this.boxKeys.push(t),this.bboxes.push(e),this.bboxes.push(r),this.bboxes.push(n),this.bboxes.push(i)},Qt.prototype.insertCircle=function(t,e,r,n){this._forEachCell(e-n,r-n,e+n,r+n,this._insertCircleCell,this.circleUid++),this.circleKeys.push(t),this.circles.push(e),this.circles.push(r),this.circles.push(n)},Qt.prototype._insertBoxCell=function(t,e,r,n,i,a){this.boxCells[i].push(a)},Qt.prototype._insertCircleCell=function(t,e,r,n,i,a){this.circleCells[i].push(a)},Qt.prototype._query=function(t,e,r,n,i,a){if(r<0||t>this.width||n<0||e>this.height)return!i&&[];var o=[];if(t<=0&&e<=0&&this.width<=r&&this.height<=n){if(i)return!0;for(var s=0;s0:o},Qt.prototype._queryCircle=function(t,e,r,n,i){var a=t-r,o=t+r,s=e-r,l=e+r;if(o<0||a>this.width||l<0||s>this.height)return!n&&[];var u=[],c={hitTest:n,circle:{x:t,y:e,radius:r},seenUids:{box:{},circle:{}}};return this._forEachCell(a,s,o,l,this._queryCellCircle,u,c,i),n?u.length>0:u},Qt.prototype.query=function(t,e,r,n,i){return this._query(t,e,r,n,!1,i)},Qt.prototype.hitTest=function(t,e,r,n,i){return this._query(t,e,r,n,!0,i)},Qt.prototype.hitTestCircle=function(t,e,r,n){return this._queryCircle(t,e,r,!0,n)},Qt.prototype._queryCell=function(t,e,r,n,i,a,o,s){var l=o.seenUids,u=this.boxCells[i];if(null!==u)for(var c=this.bboxes,f=0,h=u;f=c[d+0]&&n>=c[d+1]&&(!s||s(this.boxKeys[p]))){if(o.hitTest)return a.push(!0),!0;a.push({key:this.boxKeys[p],x1:c[d],y1:c[d+1],x2:c[d+2],y2:c[d+3]})}}}var v=this.circleCells[i];if(null!==v)for(var g=this.circles,y=0,m=v;yo*o+s*s},Qt.prototype._circleAndRectCollide=function(t,e,r,n,i,a,o){var s=(a-n)/2,l=Math.abs(t-(n+s));if(l>s+r)return!1;var u=(o-i)/2,c=Math.abs(e-(i+u));if(c>u+r)return!1;if(l<=s||c<=u)return!0;var f=l-s,h=c-u;return f*f+h*h<=r*r};var fe=new Float32Array([-1/0,-1/0,0,-1/0,-1/0,0,-1/0,-1/0,0,-1/0,-1/0,0]);function he(t,e){for(var r=0;r=1;P--)C.push(E.path[P]);for(var O=1;O0){for(var R=C[0].clone(),F=C[0].clone(),B=1;B=A.x&&F.x<=M.x&&R.y>=A.y&&F.y<=M.y?[C]:F.xM.x||F.yM.y?[]:t.clipLine([C],A.x,A.y,M.x,M.y)}for(var N=0,j=z;N=this.screenRightBoundary||nthis.screenBottomBoundary},ve.prototype.isInsideGrid=function(t,e,r,n){return r>=0&&t=0&&e0?(this.prevPlacement&&this.prevPlacement.variableOffsets[f.crossTileID]&&this.prevPlacement.placements[f.crossTileID]&&this.prevPlacement.placements[f.crossTileID].text&&(v=this.prevPlacement.variableOffsets[f.crossTileID].anchor),this.variableOffsets[f.crossTileID]={textOffset:g,width:r,height:n,anchor:t,textBoxScale:i,prevAnchor:v},this.markUsedJustification(h,t,f,p),h.allowVerticalPlacement&&(this.markUsedOrientation(h,p,f),this.placedOrientations[f.crossTileID]=p),{shift:y,placedGlyphBoxes:m}):void 0},Ae.prototype.placeLayerBucketPart=function(e,r,n){var i=this,a=e.parameters,o=a.bucket,s=a.layout,l=a.posMatrix,u=a.textLabelPlaneMatrix,c=a.labelToScreenMatrix,f=a.textPixelRatio,h=a.holdingForFade,p=a.collisionBoxArray,d=a.partiallyEvaluatedTextSize,v=a.collisionGroup,g=s.get("text-optional"),y=s.get("icon-optional"),m=s.get("text-allow-overlap"),x=s.get("icon-allow-overlap"),b="map"===s.get("text-rotation-alignment"),_="map"===s.get("text-pitch-alignment"),w="none"!==s.get("icon-text-fit"),T="viewport-y"===s.get("symbol-z-order"),k=m&&(x||!o.hasIconData()||y),A=x&&(m||!o.hasTextData()||g);!o.collisionArrays&&p&&o.deserializeCollisionBoxes(p);var M=function(e,a){if(!r[e.crossTileID])if(h)i.placements[e.crossTileID]=new xe(!1,!1,!1);else{var p,T=!1,M=!1,S=!0,E=null,L={box:null,offscreen:null},C={box:null,offscreen:null},P=null,O=null,I=0,D=0,z=0;a.textFeatureIndex?I=a.textFeatureIndex:e.useRuntimeCollisionCircles&&(I=e.featureIndex),a.verticalTextFeatureIndex&&(D=a.verticalTextFeatureIndex);var R=a.textBox;if(R){var F=function(r){var n=t.WritingMode.horizontal;if(o.allowVerticalPlacement&&!r&&i.prevPlacement){var a=i.prevPlacement.placedOrientations[e.crossTileID];a&&(i.placedOrientations[e.crossTileID]=a,n=a,i.markUsedOrientation(o,n,e))}return n},B=function(r,n){if(o.allowVerticalPlacement&&e.numVerticalGlyphVertices>0&&a.verticalTextBox)for(var i=0,s=o.writingModes;i0&&(N=N.filter((function(t){return t!==j.anchor}))).unshift(j.anchor)}var U=function(t,r,n){for(var a=t.x2-t.x1,s=t.y2-t.y1,u=e.textBoxScale,c=w&&!x?r:null,h={box:[],offscreen:!1},p=m?2*N.length:N.length,d=0;d=N.length,k=i.attemptAnchorPlacement(g,t,a,s,u,b,_,f,l,v,y,e,o,n,c);if(k&&(h=k.placedGlyphBoxes)&&h.box&&h.box.length){T=!0,E=k.shift;break}}return h};B((function(){return U(R,a.iconBox,t.WritingMode.horizontal)}),(function(){var r=a.verticalTextBox,n=L&&L.box&&L.box.length;return o.allowVerticalPlacement&&!n&&e.numVerticalGlyphVertices>0&&r?U(r,a.verticalIconBox,t.WritingMode.vertical):{box:null,offscreen:null}})),L&&(T=L.box,S=L.offscreen);var V=F(L&&L.box);if(!T&&i.prevPlacement){var q=i.prevPlacement.variableOffsets[e.crossTileID];q&&(i.variableOffsets[e.crossTileID]=q,i.markUsedJustification(o,q.anchor,e,V))}}else{var H=function(t,r){var n=i.collisionIndex.placeCollisionBox(t,m,f,l,v.predicate);return n&&n.box&&n.box.length&&(i.markUsedOrientation(o,r,e),i.placedOrientations[e.crossTileID]=r),n};B((function(){return H(R,t.WritingMode.horizontal)}),(function(){var r=a.verticalTextBox;return o.allowVerticalPlacement&&e.numVerticalGlyphVertices>0&&r?H(r,t.WritingMode.vertical):{box:null,offscreen:null}})),F(L&&L.box&&L.box.length)}}if(T=(p=L)&&p.box&&p.box.length>0,S=p&&p.offscreen,e.useRuntimeCollisionCircles){var G=o.text.placedSymbolArray.get(e.centerJustifiedTextSymbolIndex),W=t.evaluateSizeForFeature(o.textSizeData,d,G),Y=s.get("text-padding"),X=e.collisionCircleDiameter;P=i.collisionIndex.placeCollisionCircles(m,G,o.lineVertexArray,o.glyphOffsetArray,W,l,u,c,n,_,v.predicate,X,Y),T=m||P.circles.length>0&&!P.collisionDetected,S=S&&P.offscreen}if(a.iconFeatureIndex&&(z=a.iconFeatureIndex),a.iconBox){var Z=function(t){var e=w&&E?ke(t,E.x,E.y,b,_,i.transform.angle):t;return i.collisionIndex.placeCollisionBox(e,x,f,l,v.predicate)};M=C&&C.box&&C.box.length&&a.verticalIconBox?(O=Z(a.verticalIconBox)).box.length>0:(O=Z(a.iconBox)).box.length>0,S=S&&O.offscreen}var K=g||0===e.numHorizontalGlyphVertices&&0===e.numVerticalGlyphVertices,J=y||0===e.numIconVertices;if(K||J?J?K||(M=M&&T):T=M&&T:M=T=M&&T,T&&p&&p.box&&(C&&C.box&&D?i.collisionIndex.insertCollisionBox(p.box,s.get("text-ignore-placement"),o.bucketInstanceId,D,v.ID):i.collisionIndex.insertCollisionBox(p.box,s.get("text-ignore-placement"),o.bucketInstanceId,I,v.ID)),M&&O&&i.collisionIndex.insertCollisionBox(O.box,s.get("icon-ignore-placement"),o.bucketInstanceId,z,v.ID),P&&(T&&i.collisionIndex.insertCollisionCircles(P.circles,s.get("text-ignore-placement"),o.bucketInstanceId,I,v.ID),n)){var $=o.bucketInstanceId,Q=i.collisionCircleArrays[$];void 0===Q&&(Q=i.collisionCircleArrays[$]=new be);for(var tt=0;tt=0;--E){var L=S[E];M(o.symbolInstances.get(L),o.collisionArrays[L])}else for(var C=e.symbolInstanceStart;C=0&&(e.text.placedSymbolArray.get(u).crossTileID=a>=0&&u!==a?0:n.crossTileID)}},Ae.prototype.markUsedOrientation=function(e,r,n){for(var i=r===t.WritingMode.horizontal||r===t.WritingMode.horizontalOnly?r:0,a=r===t.WritingMode.vertical?r:0,o=0,s=[n.leftJustifiedTextSymbolIndex,n.centerJustifiedTextSymbolIndex,n.rightJustifiedTextSymbolIndex];o0||l>0,x=a.numIconVertices>0,b=i.placedOrientations[a.crossTileID],_=b===t.WritingMode.vertical,w=b===t.WritingMode.horizontal||b===t.WritingMode.horizontalOnly;if(m){var T=De(y.text),k=_?ze:T;d(e.text,s,k);var A=w?ze:T;d(e.text,l,A);var M=y.text.isHidden();[a.rightJustifiedTextSymbolIndex,a.centerJustifiedTextSymbolIndex,a.leftJustifiedTextSymbolIndex].forEach((function(t){t>=0&&(e.text.placedSymbolArray.get(t).hidden=M||_?1:0)})),a.verticalPlacedTextSymbolIndex>=0&&(e.text.placedSymbolArray.get(a.verticalPlacedTextSymbolIndex).hidden=M||w?1:0);var S=i.variableOffsets[a.crossTileID];S&&i.markUsedJustification(e,S.anchor,a,b);var E=i.placedOrientations[a.crossTileID];E&&(i.markUsedJustification(e,"left",a,E),i.markUsedOrientation(e,E,a))}if(x){var L=De(y.icon),C=!(h&&a.verticalPlacedIconSymbolIndex&&_);if(a.placedIconSymbolIndex>=0){var P=C?L:ze;d(e.icon,a.numIconVertices,P),e.icon.placedSymbolArray.get(a.placedIconSymbolIndex).hidden=y.icon.isHidden()}if(a.verticalPlacedIconSymbolIndex>=0){var O=C?ze:L;d(e.icon,a.numVerticalIconVertices,O),e.icon.placedSymbolArray.get(a.verticalPlacedIconSymbolIndex).hidden=y.icon.isHidden()}}if(e.hasIconCollisionBoxData()||e.hasTextCollisionBoxData()){var I=e.collisionArrays[n];if(I){var D=new t.Point(0,0);if(I.textBox||I.verticalTextBox){var z=!0;if(u){var R=i.variableOffsets[v];R?(D=Te(R.anchor,R.width,R.height,R.textOffset,R.textBoxScale),c&&D._rotate(f?i.transform.angle:-i.transform.angle)):z=!1}I.textBox&&Me(e.textCollisionBox.collisionVertexArray,y.text.placed,!z||_,D.x,D.y),I.verticalTextBox&&Me(e.textCollisionBox.collisionVertexArray,y.text.placed,!z||w,D.x,D.y)}var F=Boolean(!w&&I.verticalIconBox);I.iconBox&&Me(e.iconCollisionBox.collisionVertexArray,y.icon.placed,F,h?D.x:0,h?D.y:0),I.verticalIconBox&&Me(e.iconCollisionBox.collisionVertexArray,y.icon.placed,!F,h?D.x:0,h?D.y:0)}}},g=0;gt},Ae.prototype.setStale=function(){this.stale=!0};var Se=Math.pow(2,25),Ee=Math.pow(2,24),Le=Math.pow(2,17),Ce=Math.pow(2,16),Pe=Math.pow(2,9),Oe=Math.pow(2,8),Ie=Math.pow(2,1);function De(t){if(0===t.opacity&&!t.placed)return 0;if(1===t.opacity&&t.placed)return 4294967295;var e=t.placed?1:0,r=Math.floor(127*t.opacity);return r*Se+e*Ee+r*Le+e*Ce+r*Pe+e*Oe+r*Ie+e}var ze=0,Re=function(t){this._sortAcrossTiles="viewport-y"!==t.layout.get("symbol-z-order")&&void 0!==t.layout.get("symbol-sort-key").constantOr(1),this._currentTileIndex=0,this._currentPartIndex=0,this._seenCrossTileIDs={},this._bucketParts=[]};Re.prototype.continuePlacement=function(t,e,r,n,i){for(var a=this._bucketParts;this._currentTileIndex2};this._currentPlacementIndex>=0;){var s=r[e[this._currentPlacementIndex]],l=this.placement.collisionIndex.transform.zoom;if("symbol"===s.type&&(!s.minzoom||s.minzoom<=l)&&(!s.maxzoom||s.maxzoom>l)){if(this._inProgressLayer||(this._inProgressLayer=new Re(s)),this._inProgressLayer.continuePlacement(n[s.source],this.placement,this._showCollisionBoxes,s,o))return;delete this._inProgressLayer}this._currentPlacementIndex--}this._done=!0},Fe.prototype.commit=function(t){return this.placement.commit(t),this.placement};var Be=512/t.EXTENT/2,Ne=function(t,e,r){this.tileID=t,this.indexedSymbolInstances={},this.bucketInstanceId=r;for(var n=0;nt.overscaledZ)for(var s in o){var l=o[s];l.tileID.isChildOf(t)&&l.findMatches(e.symbolInstances,t,i)}else{var u=o[t.scaledTo(Number(a)).key];u&&u.findMatches(e.symbolInstances,t,i)}}for(var c=0;c1?"@2x":"",l=t.getJSON(r.transformRequest(r.normalizeSpriteURL(e,s,".json"),t.ResourceType.SpriteJSON),(function(t,e){l=null,o||(o=t,i=e,c())})),u=t.getImage(r.transformRequest(r.normalizeSpriteURL(e,s,".png"),t.ResourceType.SpriteImage),(function(t,e){u=null,o||(o=t,a=e,c())}));function c(){if(o)n(o);else if(i&&a){var e=t.browser.getImageData(a),r={};for(var s in i){var l=i[s],u=l.width,c=l.height,f=l.x,h=l.y,p=l.sdf,d=l.pixelRatio,v=l.stretchX,g=l.stretchY,y=l.content,m=new t.RGBAImage({width:u,height:c});t.RGBAImage.copy(e,m,{x:f,y:h},{x:0,y:0},{width:u,height:c}),r[s]={data:m,pixelRatio:d,sdf:p,stretchX:v,stretchY:g,content:y}}n(null,r)}}return{cancel:function(){l&&(l.cancel(),l=null),u&&(u.cancel(),u=null)}}}(e,this.map._requestManager,(function(e,n){if(r._spriteRequest=null,e)r.fire(new t.ErrorEvent(e));else if(n)for(var i in n)r.imageManager.addImage(i,n[i]);r.imageManager.setLoaded(!0),r._availableImages=r.imageManager.listImages(),r.dispatcher.broadcast("setImages",r._availableImages),r.fire(new t.Event("data",{dataType:"style"}))}))},r.prototype._validateLayer=function(e){var r=this.sourceCaches[e.source];if(r){var n=e.sourceLayer;if(n){var i=r.getSource();("geojson"===i.type||i.vectorLayerIds&&-1===i.vectorLayerIds.indexOf(n))&&this.fire(new t.ErrorEvent(new Error('Source layer "'+n+'" does not exist on source "'+i.id+'" as specified by style layer "'+e.id+'"')))}}},r.prototype.loaded=function(){if(!this._loaded)return!1;if(Object.keys(this._updatedSources).length)return!1;for(var t in this.sourceCaches)if(!this.sourceCaches[t].loaded())return!1;return!!this.imageManager.isLoaded()},r.prototype._serializeLayers=function(t){for(var e=[],r=0,n=t;r0)throw new Error("Unimplemented: "+i.map((function(t){return t.command})).join(", ")+".");return n.forEach((function(t){"setTransition"!==t.command&&r[t.command].apply(r,t.args)})),this.stylesheet=e,!0},r.prototype.addImage=function(e,r){if(this.getImage(e))return this.fire(new t.ErrorEvent(new Error("An image with this name already exists.")));this.imageManager.addImage(e,r),this._afterImageUpdated(e)},r.prototype.updateImage=function(t,e){this.imageManager.updateImage(t,e)},r.prototype.getImage=function(t){return this.imageManager.getImage(t)},r.prototype.removeImage=function(e){if(!this.getImage(e))return this.fire(new t.ErrorEvent(new Error("No image with this name exists.")));this.imageManager.removeImage(e),this._afterImageUpdated(e)},r.prototype._afterImageUpdated=function(e){this._availableImages=this.imageManager.listImages(),this._changedImages[e]=!0,this._changed=!0,this.dispatcher.broadcast("setImages",this._availableImages),this.fire(new t.Event("data",{dataType:"style"}))},r.prototype.listImages=function(){return this._checkLoaded(),this.imageManager.listImages()},r.prototype.addSource=function(e,r,n){var i=this;if(void 0===n&&(n={}),this._checkLoaded(),void 0!==this.sourceCaches[e])throw new Error("There is already a source with this ID");if(!r.type)throw new Error("The type property must be defined, but only the following properties were given: "+Object.keys(r).join(", ")+".");if(!(["vector","raster","geojson","video","image"].indexOf(r.type)>=0&&this._validate(t.validateStyle.source,"sources."+e,r,null,n))){this.map&&this.map._collectResourceTiming&&(r.collectResourceTiming=!0);var a=this.sourceCaches[e]=new Ot(e,r,this.dispatcher);a.style=this,a.setEventedParent(this,(function(){return{isSourceLoaded:i.loaded(),source:a.serialize(),sourceId:e}})),a.onAdd(this.map),this._changed=!0}},r.prototype.removeSource=function(e){if(this._checkLoaded(),void 0===this.sourceCaches[e])throw new Error("There is no source with this ID");for(var r in this._layers)if(this._layers[r].source===e)return this.fire(new t.ErrorEvent(new Error('Source "'+e+'" cannot be removed while layer "'+r+'" is using it.')));var n=this.sourceCaches[e];delete this.sourceCaches[e],delete this._updatedSources[e],n.fire(new t.Event("data",{sourceDataType:"metadata",dataType:"source",sourceId:e})),n.setEventedParent(null),n.clearTiles(),n.onRemove&&n.onRemove(this.map),this._changed=!0},r.prototype.setGeoJSONSourceData=function(t,e){this._checkLoaded(),this.sourceCaches[t].getSource().setData(e),this._changed=!0},r.prototype.getSource=function(t){return this.sourceCaches[t]&&this.sourceCaches[t].getSource()},r.prototype.addLayer=function(e,r,n){void 0===n&&(n={}),this._checkLoaded();var i=e.id;if(this.getLayer(i))this.fire(new t.ErrorEvent(new Error('Layer with id "'+i+'" already exists on this map')));else{var a;if("custom"===e.type){if(qe(this,t.validateCustomStyleLayer(e)))return;a=t.createStyleLayer(e)}else{if("object"==typeof e.source&&(this.addSource(i,e.source),e=t.clone$1(e),e=t.extend(e,{source:i})),this._validate(t.validateStyle.layer,"layers."+i,e,{arrayIndex:-1},n))return;a=t.createStyleLayer(e),this._validateLayer(a),a.setEventedParent(this,{layer:{id:i}}),this._serializedLayers[a.id]=a.serialize()}var o=r?this._order.indexOf(r):this._order.length;if(r&&-1===o)this.fire(new t.ErrorEvent(new Error('Layer with id "'+r+'" does not exist on this map.')));else{if(this._order.splice(o,0,i),this._layerOrderChanged=!0,this._layers[i]=a,this._removedLayers[i]&&a.source&&"custom"!==a.type){var s=this._removedLayers[i];delete this._removedLayers[i],s.type!==a.type?this._updatedSources[a.source]="clear":(this._updatedSources[a.source]="reload",this.sourceCaches[a.source].pause())}this._updateLayer(a),a.onAdd&&a.onAdd(this.map)}}},r.prototype.moveLayer=function(e,r){if(this._checkLoaded(),this._changed=!0,this._layers[e]){if(e!==r){var n=this._order.indexOf(e);this._order.splice(n,1);var i=r?this._order.indexOf(r):this._order.length;r&&-1===i?this.fire(new t.ErrorEvent(new Error('Layer with id "'+r+'" does not exist on this map.'))):(this._order.splice(i,0,e),this._layerOrderChanged=!0)}}else this.fire(new t.ErrorEvent(new Error("The layer '"+e+"' does not exist in the map's style and cannot be moved.")))},r.prototype.removeLayer=function(e){this._checkLoaded();var r=this._layers[e];if(r){r.setEventedParent(null);var n=this._order.indexOf(e);this._order.splice(n,1),this._layerOrderChanged=!0,this._changed=!0,this._removedLayers[e]=r,delete this._layers[e],delete this._serializedLayers[e],delete this._updatedLayers[e],delete this._updatedPaintProps[e],r.onRemove&&r.onRemove(this.map)}else this.fire(new t.ErrorEvent(new Error("The layer '"+e+"' does not exist in the map's style and cannot be removed.")))},r.prototype.getLayer=function(t){return this._layers[t]},r.prototype.hasLayer=function(t){return t in this._layers},r.prototype.setLayerZoomRange=function(e,r,n){this._checkLoaded();var i=this.getLayer(e);i?i.minzoom===r&&i.maxzoom===n||(null!=r&&(i.minzoom=r),null!=n&&(i.maxzoom=n),this._updateLayer(i)):this.fire(new t.ErrorEvent(new Error("The layer '"+e+"' does not exist in the map's style and cannot have zoom extent.")))},r.prototype.setFilter=function(e,r,n){void 0===n&&(n={}),this._checkLoaded();var i=this.getLayer(e);if(i){if(!t.deepEqual(i.filter,r))return null==r?(i.filter=void 0,void this._updateLayer(i)):void(this._validate(t.validateStyle.filter,"layers."+i.id+".filter",r,null,n)||(i.filter=t.clone$1(r),this._updateLayer(i)))}else this.fire(new t.ErrorEvent(new Error("The layer '"+e+"' does not exist in the map's style and cannot be filtered.")))},r.prototype.getFilter=function(e){return t.clone$1(this.getLayer(e).filter)},r.prototype.setLayoutProperty=function(e,r,n,i){void 0===i&&(i={}),this._checkLoaded();var a=this.getLayer(e);a?t.deepEqual(a.getLayoutProperty(r),n)||(a.setLayoutProperty(r,n,i),this._updateLayer(a)):this.fire(new t.ErrorEvent(new Error("The layer '"+e+"' does not exist in the map's style and cannot be styled.")))},r.prototype.getLayoutProperty=function(e,r){var n=this.getLayer(e);if(n)return n.getLayoutProperty(r);this.fire(new t.ErrorEvent(new Error("The layer '"+e+"' does not exist in the map's style.")))},r.prototype.setPaintProperty=function(e,r,n,i){void 0===i&&(i={}),this._checkLoaded();var a=this.getLayer(e);a?t.deepEqual(a.getPaintProperty(r),n)||(a.setPaintProperty(r,n,i)&&this._updateLayer(a),this._changed=!0,this._updatedPaintProps[e]=!0):this.fire(new t.ErrorEvent(new Error("The layer '"+e+"' does not exist in the map's style and cannot be styled.")))},r.prototype.getPaintProperty=function(t,e){return this.getLayer(t).getPaintProperty(e)},r.prototype.setFeatureState=function(e,r){this._checkLoaded();var n=e.source,i=e.sourceLayer,a=this.sourceCaches[n];if(void 0!==a){var o=a.getSource().type;"geojson"===o&&i?this.fire(new t.ErrorEvent(new Error("GeoJSON sources cannot have a sourceLayer parameter."))):"vector"!==o||i?(void 0===e.id&&this.fire(new t.ErrorEvent(new Error("The feature id parameter must be provided."))),a.setFeatureState(i,e.id,r)):this.fire(new t.ErrorEvent(new Error("The sourceLayer parameter must be provided for vector source types.")))}else this.fire(new t.ErrorEvent(new Error("The source '"+n+"' does not exist in the map's style.")))},r.prototype.removeFeatureState=function(e,r){this._checkLoaded();var n=e.source,i=this.sourceCaches[n];if(void 0!==i){var a=i.getSource().type,o="vector"===a?e.sourceLayer:void 0;"vector"!==a||o?r&&"string"!=typeof e.id&&"number"!=typeof e.id?this.fire(new t.ErrorEvent(new Error("A feature id is required to remove its specific state property."))):i.removeFeatureState(o,e.id,r):this.fire(new t.ErrorEvent(new Error("The sourceLayer parameter must be provided for vector source types.")))}else this.fire(new t.ErrorEvent(new Error("The source '"+n+"' does not exist in the map's style.")))},r.prototype.getFeatureState=function(e){this._checkLoaded();var r=e.source,n=e.sourceLayer,i=this.sourceCaches[r];if(void 0!==i){if("vector"!==i.getSource().type||n)return void 0===e.id&&this.fire(new t.ErrorEvent(new Error("The feature id parameter must be provided."))),i.getFeatureState(n,e.id);this.fire(new t.ErrorEvent(new Error("The sourceLayer parameter must be provided for vector source types.")))}else this.fire(new t.ErrorEvent(new Error("The source '"+r+"' does not exist in the map's style.")))},r.prototype.getTransition=function(){return t.extend({duration:300,delay:0},this.stylesheet&&this.stylesheet.transition)},r.prototype.serialize=function(){return t.filterObject({version:this.stylesheet.version,name:this.stylesheet.name,metadata:this.stylesheet.metadata,light:this.stylesheet.light,center:this.stylesheet.center,zoom:this.stylesheet.zoom,bearing:this.stylesheet.bearing,pitch:this.stylesheet.pitch,sprite:this.stylesheet.sprite,glyphs:this.stylesheet.glyphs,transition:this.stylesheet.transition,sources:t.mapObject(this.sourceCaches,(function(t){return t.serialize()})),layers:this._serializeLayers(this._order)},(function(t){return void 0!==t}))},r.prototype._updateLayer=function(t){this._updatedLayers[t.id]=!0,t.source&&!this._updatedSources[t.source]&&"raster"!==this.sourceCaches[t.source].getSource().type&&(this._updatedSources[t.source]="reload",this.sourceCaches[t.source].pause()),this._changed=!0},r.prototype._flattenAndSortRenderedFeatures=function(t){for(var e=this,r=function(t){return"fill-extrusion"===e._layers[t].type},n={},i=[],a=this._order.length-1;a>=0;a--){var o=this._order[a];if(r(o)){n[o]=a;for(var s=0,l=t;s=0;d--){var v=this._order[d];if(r(v))for(var g=i.length-1;g>=0;g--){var y=i[g].feature;if(n[y.layer.id] 0.5) {gl_FragColor=vec4(0.0,0.0,1.0,0.5)*alpha;}if (v_notUsed > 0.5) {gl_FragColor*=.1;}}","attribute vec2 a_pos;attribute vec2 a_anchor_pos;attribute vec2 a_extrude;attribute vec2 a_placed;attribute vec2 a_shift;uniform mat4 u_matrix;uniform vec2 u_extrude_scale;uniform float u_camera_to_center_distance;varying float v_placed;varying float v_notUsed;void main() {vec4 projectedPoint=u_matrix*vec4(a_anchor_pos,0,1);highp float camera_to_anchor_distance=projectedPoint.w;highp float collision_perspective_ratio=clamp(0.5+0.5*(u_camera_to_center_distance/camera_to_anchor_distance),0.0,4.0);gl_Position=u_matrix*vec4(a_pos,0.0,1.0);gl_Position.xy+=(a_extrude+a_shift)*u_extrude_scale*gl_Position.w*collision_perspective_ratio;v_placed=a_placed.x;v_notUsed=a_placed.y;}"),nr=_r("varying float v_radius;varying vec2 v_extrude;varying float v_perspective_ratio;varying float v_collision;void main() {float alpha=0.5*min(v_perspective_ratio,1.0);float stroke_radius=0.9*max(v_perspective_ratio,1.0);float distance_to_center=length(v_extrude);float distance_to_edge=abs(distance_to_center-v_radius);float opacity_t=smoothstep(-stroke_radius,0.0,-distance_to_edge);vec4 color=mix(vec4(0.0,0.0,1.0,0.5),vec4(1.0,0.0,0.0,1.0),v_collision);gl_FragColor=color*alpha*opacity_t;}","attribute vec2 a_pos;attribute float a_radius;attribute vec2 a_flags;uniform mat4 u_matrix;uniform mat4 u_inv_matrix;uniform vec2 u_viewport_size;uniform float u_camera_to_center_distance;varying float v_radius;varying vec2 v_extrude;varying float v_perspective_ratio;varying float v_collision;vec3 toTilePosition(vec2 screenPos) {vec4 rayStart=u_inv_matrix*vec4(screenPos,-1.0,1.0);vec4 rayEnd =u_inv_matrix*vec4(screenPos, 1.0,1.0);rayStart.xyz/=rayStart.w;rayEnd.xyz /=rayEnd.w;highp float t=(0.0-rayStart.z)/(rayEnd.z-rayStart.z);return mix(rayStart.xyz,rayEnd.xyz,t);}void main() {vec2 quadCenterPos=a_pos;float radius=a_radius;float collision=a_flags.x;float vertexIdx=a_flags.y;vec2 quadVertexOffset=vec2(mix(-1.0,1.0,float(vertexIdx >=2.0)),mix(-1.0,1.0,float(vertexIdx >=1.0 && vertexIdx <=2.0)));vec2 quadVertexExtent=quadVertexOffset*radius;vec3 tilePos=toTilePosition(quadCenterPos);vec4 clipPos=u_matrix*vec4(tilePos,1.0);highp float camera_to_anchor_distance=clipPos.w;highp float collision_perspective_ratio=clamp(0.5+0.5*(u_camera_to_center_distance/camera_to_anchor_distance),0.0,4.0);float padding_factor=1.2;v_radius=radius;v_extrude=quadVertexExtent*padding_factor;v_perspective_ratio=collision_perspective_ratio;v_collision=collision;gl_Position=vec4(clipPos.xyz/clipPos.w,1.0)+vec4(quadVertexExtent*padding_factor/u_viewport_size*2.0,0.0,0.0);}"),ir=_r("uniform highp vec4 u_color;uniform sampler2D u_overlay;varying vec2 v_uv;void main() {vec4 overlay_color=texture2D(u_overlay,v_uv);gl_FragColor=mix(u_color,overlay_color,overlay_color.a);}","attribute vec2 a_pos;varying vec2 v_uv;uniform mat4 u_matrix;uniform float u_overlay_scale;void main() {v_uv=a_pos/8192.0;gl_Position=u_matrix*vec4(a_pos*u_overlay_scale,0,1);}"),ar=_r("#pragma mapbox: define highp vec4 color\n#pragma mapbox: define lowp float opacity\nvoid main() {\n#pragma mapbox: initialize highp vec4 color\n#pragma mapbox: initialize lowp float opacity\ngl_FragColor=color*opacity;\n#ifdef OVERDRAW_INSPECTOR\ngl_FragColor=vec4(1.0);\n#endif\n}","attribute vec2 a_pos;uniform mat4 u_matrix;\n#pragma mapbox: define highp vec4 color\n#pragma mapbox: define lowp float opacity\nvoid main() {\n#pragma mapbox: initialize highp vec4 color\n#pragma mapbox: initialize lowp float opacity\ngl_Position=u_matrix*vec4(a_pos,0,1);}"),or=_r("varying vec2 v_pos;\n#pragma mapbox: define highp vec4 outline_color\n#pragma mapbox: define lowp float opacity\nvoid main() {\n#pragma mapbox: initialize highp vec4 outline_color\n#pragma mapbox: initialize lowp float opacity\nfloat dist=length(v_pos-gl_FragCoord.xy);float alpha=1.0-smoothstep(0.0,1.0,dist);gl_FragColor=outline_color*(alpha*opacity);\n#ifdef OVERDRAW_INSPECTOR\ngl_FragColor=vec4(1.0);\n#endif\n}","attribute vec2 a_pos;uniform mat4 u_matrix;uniform vec2 u_world;varying vec2 v_pos;\n#pragma mapbox: define highp vec4 outline_color\n#pragma mapbox: define lowp float opacity\nvoid main() {\n#pragma mapbox: initialize highp vec4 outline_color\n#pragma mapbox: initialize lowp float opacity\ngl_Position=u_matrix*vec4(a_pos,0,1);v_pos=(gl_Position.xy/gl_Position.w+1.0)/2.0*u_world;}"),sr=_r("uniform vec2 u_texsize;uniform sampler2D u_image;uniform float u_fade;varying vec2 v_pos_a;varying vec2 v_pos_b;varying vec2 v_pos;\n#pragma mapbox: define lowp float opacity\n#pragma mapbox: define lowp vec4 pattern_from\n#pragma mapbox: define lowp vec4 pattern_to\nvoid main() {\n#pragma mapbox: initialize lowp float opacity\n#pragma mapbox: initialize mediump vec4 pattern_from\n#pragma mapbox: initialize mediump vec4 pattern_to\nvec2 pattern_tl_a=pattern_from.xy;vec2 pattern_br_a=pattern_from.zw;vec2 pattern_tl_b=pattern_to.xy;vec2 pattern_br_b=pattern_to.zw;vec2 imagecoord=mod(v_pos_a,1.0);vec2 pos=mix(pattern_tl_a/u_texsize,pattern_br_a/u_texsize,imagecoord);vec4 color1=texture2D(u_image,pos);vec2 imagecoord_b=mod(v_pos_b,1.0);vec2 pos2=mix(pattern_tl_b/u_texsize,pattern_br_b/u_texsize,imagecoord_b);vec4 color2=texture2D(u_image,pos2);float dist=length(v_pos-gl_FragCoord.xy);float alpha=1.0-smoothstep(0.0,1.0,dist);gl_FragColor=mix(color1,color2,u_fade)*alpha*opacity;\n#ifdef OVERDRAW_INSPECTOR\ngl_FragColor=vec4(1.0);\n#endif\n}","uniform mat4 u_matrix;uniform vec2 u_world;uniform vec2 u_pixel_coord_upper;uniform vec2 u_pixel_coord_lower;uniform vec3 u_scale;attribute vec2 a_pos;varying vec2 v_pos_a;varying vec2 v_pos_b;varying vec2 v_pos;\n#pragma mapbox: define lowp float opacity\n#pragma mapbox: define lowp vec4 pattern_from\n#pragma mapbox: define lowp vec4 pattern_to\n#pragma mapbox: define lowp float pixel_ratio_from\n#pragma mapbox: define lowp float pixel_ratio_to\nvoid main() {\n#pragma mapbox: initialize lowp float opacity\n#pragma mapbox: initialize mediump vec4 pattern_from\n#pragma mapbox: initialize mediump vec4 pattern_to\n#pragma mapbox: initialize lowp float pixel_ratio_from\n#pragma mapbox: initialize lowp float pixel_ratio_to\nvec2 pattern_tl_a=pattern_from.xy;vec2 pattern_br_a=pattern_from.zw;vec2 pattern_tl_b=pattern_to.xy;vec2 pattern_br_b=pattern_to.zw;float tileRatio=u_scale.x;float fromScale=u_scale.y;float toScale=u_scale.z;gl_Position=u_matrix*vec4(a_pos,0,1);vec2 display_size_a=(pattern_br_a-pattern_tl_a)/pixel_ratio_from;vec2 display_size_b=(pattern_br_b-pattern_tl_b)/pixel_ratio_to;v_pos_a=get_pattern_pos(u_pixel_coord_upper,u_pixel_coord_lower,fromScale*display_size_a,tileRatio,a_pos);v_pos_b=get_pattern_pos(u_pixel_coord_upper,u_pixel_coord_lower,toScale*display_size_b,tileRatio,a_pos);v_pos=(gl_Position.xy/gl_Position.w+1.0)/2.0*u_world;}"),lr=_r("uniform vec2 u_texsize;uniform float u_fade;uniform sampler2D u_image;varying vec2 v_pos_a;varying vec2 v_pos_b;\n#pragma mapbox: define lowp float opacity\n#pragma mapbox: define lowp vec4 pattern_from\n#pragma mapbox: define lowp vec4 pattern_to\nvoid main() {\n#pragma mapbox: initialize lowp float opacity\n#pragma mapbox: initialize mediump vec4 pattern_from\n#pragma mapbox: initialize mediump vec4 pattern_to\nvec2 pattern_tl_a=pattern_from.xy;vec2 pattern_br_a=pattern_from.zw;vec2 pattern_tl_b=pattern_to.xy;vec2 pattern_br_b=pattern_to.zw;vec2 imagecoord=mod(v_pos_a,1.0);vec2 pos=mix(pattern_tl_a/u_texsize,pattern_br_a/u_texsize,imagecoord);vec4 color1=texture2D(u_image,pos);vec2 imagecoord_b=mod(v_pos_b,1.0);vec2 pos2=mix(pattern_tl_b/u_texsize,pattern_br_b/u_texsize,imagecoord_b);vec4 color2=texture2D(u_image,pos2);gl_FragColor=mix(color1,color2,u_fade)*opacity;\n#ifdef OVERDRAW_INSPECTOR\ngl_FragColor=vec4(1.0);\n#endif\n}","uniform mat4 u_matrix;uniform vec2 u_pixel_coord_upper;uniform vec2 u_pixel_coord_lower;uniform vec3 u_scale;attribute vec2 a_pos;varying vec2 v_pos_a;varying vec2 v_pos_b;\n#pragma mapbox: define lowp float opacity\n#pragma mapbox: define lowp vec4 pattern_from\n#pragma mapbox: define lowp vec4 pattern_to\n#pragma mapbox: define lowp float pixel_ratio_from\n#pragma mapbox: define lowp float pixel_ratio_to\nvoid main() {\n#pragma mapbox: initialize lowp float opacity\n#pragma mapbox: initialize mediump vec4 pattern_from\n#pragma mapbox: initialize mediump vec4 pattern_to\n#pragma mapbox: initialize lowp float pixel_ratio_from\n#pragma mapbox: initialize lowp float pixel_ratio_to\nvec2 pattern_tl_a=pattern_from.xy;vec2 pattern_br_a=pattern_from.zw;vec2 pattern_tl_b=pattern_to.xy;vec2 pattern_br_b=pattern_to.zw;float tileZoomRatio=u_scale.x;float fromScale=u_scale.y;float toScale=u_scale.z;vec2 display_size_a=(pattern_br_a-pattern_tl_a)/pixel_ratio_from;vec2 display_size_b=(pattern_br_b-pattern_tl_b)/pixel_ratio_to;gl_Position=u_matrix*vec4(a_pos,0,1);v_pos_a=get_pattern_pos(u_pixel_coord_upper,u_pixel_coord_lower,fromScale*display_size_a,tileZoomRatio,a_pos);v_pos_b=get_pattern_pos(u_pixel_coord_upper,u_pixel_coord_lower,toScale*display_size_b,tileZoomRatio,a_pos);}"),ur=_r("varying vec4 v_color;void main() {gl_FragColor=v_color;\n#ifdef OVERDRAW_INSPECTOR\ngl_FragColor=vec4(1.0);\n#endif\n}","uniform mat4 u_matrix;uniform vec3 u_lightcolor;uniform lowp vec3 u_lightpos;uniform lowp float u_lightintensity;uniform float u_vertical_gradient;uniform lowp float u_opacity;attribute vec2 a_pos;attribute vec4 a_normal_ed;varying vec4 v_color;\n#pragma mapbox: define highp float base\n#pragma mapbox: define highp float height\n#pragma mapbox: define highp vec4 color\nvoid main() {\n#pragma mapbox: initialize highp float base\n#pragma mapbox: initialize highp float height\n#pragma mapbox: initialize highp vec4 color\nvec3 normal=a_normal_ed.xyz;base=max(0.0,base);height=max(0.0,height);float t=mod(normal.x,2.0);gl_Position=u_matrix*vec4(a_pos,t > 0.0 ? height : base,1);float colorvalue=color.r*0.2126+color.g*0.7152+color.b*0.0722;v_color=vec4(0.0,0.0,0.0,1.0);vec4 ambientlight=vec4(0.03,0.03,0.03,1.0);color+=ambientlight;float directional=clamp(dot(normal/16384.0,u_lightpos),0.0,1.0);directional=mix((1.0-u_lightintensity),max((1.0-colorvalue+u_lightintensity),1.0),directional);if (normal.y !=0.0) {directional*=((1.0-u_vertical_gradient)+(u_vertical_gradient*clamp((t+base)*pow(height/150.0,0.5),mix(0.7,0.98,1.0-u_lightintensity),1.0)));}v_color.r+=clamp(color.r*directional*u_lightcolor.r,mix(0.0,0.3,1.0-u_lightcolor.r),1.0);v_color.g+=clamp(color.g*directional*u_lightcolor.g,mix(0.0,0.3,1.0-u_lightcolor.g),1.0);v_color.b+=clamp(color.b*directional*u_lightcolor.b,mix(0.0,0.3,1.0-u_lightcolor.b),1.0);v_color*=u_opacity;}"),cr=_r("uniform vec2 u_texsize;uniform float u_fade;uniform sampler2D u_image;varying vec2 v_pos_a;varying vec2 v_pos_b;varying vec4 v_lighting;\n#pragma mapbox: define lowp float base\n#pragma mapbox: define lowp float height\n#pragma mapbox: define lowp vec4 pattern_from\n#pragma mapbox: define lowp vec4 pattern_to\n#pragma mapbox: define lowp float pixel_ratio_from\n#pragma mapbox: define lowp float pixel_ratio_to\nvoid main() {\n#pragma mapbox: initialize lowp float base\n#pragma mapbox: initialize lowp float height\n#pragma mapbox: initialize mediump vec4 pattern_from\n#pragma mapbox: initialize mediump vec4 pattern_to\n#pragma mapbox: initialize lowp float pixel_ratio_from\n#pragma mapbox: initialize lowp float pixel_ratio_to\nvec2 pattern_tl_a=pattern_from.xy;vec2 pattern_br_a=pattern_from.zw;vec2 pattern_tl_b=pattern_to.xy;vec2 pattern_br_b=pattern_to.zw;vec2 imagecoord=mod(v_pos_a,1.0);vec2 pos=mix(pattern_tl_a/u_texsize,pattern_br_a/u_texsize,imagecoord);vec4 color1=texture2D(u_image,pos);vec2 imagecoord_b=mod(v_pos_b,1.0);vec2 pos2=mix(pattern_tl_b/u_texsize,pattern_br_b/u_texsize,imagecoord_b);vec4 color2=texture2D(u_image,pos2);vec4 mixedColor=mix(color1,color2,u_fade);gl_FragColor=mixedColor*v_lighting;\n#ifdef OVERDRAW_INSPECTOR\ngl_FragColor=vec4(1.0);\n#endif\n}","uniform mat4 u_matrix;uniform vec2 u_pixel_coord_upper;uniform vec2 u_pixel_coord_lower;uniform float u_height_factor;uniform vec3 u_scale;uniform float u_vertical_gradient;uniform lowp float u_opacity;uniform vec3 u_lightcolor;uniform lowp vec3 u_lightpos;uniform lowp float u_lightintensity;attribute vec2 a_pos;attribute vec4 a_normal_ed;varying vec2 v_pos_a;varying vec2 v_pos_b;varying vec4 v_lighting;\n#pragma mapbox: define lowp float base\n#pragma mapbox: define lowp float height\n#pragma mapbox: define lowp vec4 pattern_from\n#pragma mapbox: define lowp vec4 pattern_to\n#pragma mapbox: define lowp float pixel_ratio_from\n#pragma mapbox: define lowp float pixel_ratio_to\nvoid main() {\n#pragma mapbox: initialize lowp float base\n#pragma mapbox: initialize lowp float height\n#pragma mapbox: initialize mediump vec4 pattern_from\n#pragma mapbox: initialize mediump vec4 pattern_to\n#pragma mapbox: initialize lowp float pixel_ratio_from\n#pragma mapbox: initialize lowp float pixel_ratio_to\nvec2 pattern_tl_a=pattern_from.xy;vec2 pattern_br_a=pattern_from.zw;vec2 pattern_tl_b=pattern_to.xy;vec2 pattern_br_b=pattern_to.zw;float tileRatio=u_scale.x;float fromScale=u_scale.y;float toScale=u_scale.z;vec3 normal=a_normal_ed.xyz;float edgedistance=a_normal_ed.w;vec2 display_size_a=(pattern_br_a-pattern_tl_a)/pixel_ratio_from;vec2 display_size_b=(pattern_br_b-pattern_tl_b)/pixel_ratio_to;base=max(0.0,base);height=max(0.0,height);float t=mod(normal.x,2.0);float z=t > 0.0 ? height : base;gl_Position=u_matrix*vec4(a_pos,z,1);vec2 pos=normal.x==1.0 && normal.y==0.0 && normal.z==16384.0\n? a_pos\n: vec2(edgedistance,z*u_height_factor);v_pos_a=get_pattern_pos(u_pixel_coord_upper,u_pixel_coord_lower,fromScale*display_size_a,tileRatio,pos);v_pos_b=get_pattern_pos(u_pixel_coord_upper,u_pixel_coord_lower,toScale*display_size_b,tileRatio,pos);v_lighting=vec4(0.0,0.0,0.0,1.0);float directional=clamp(dot(normal/16383.0,u_lightpos),0.0,1.0);directional=mix((1.0-u_lightintensity),max((0.5+u_lightintensity),1.0),directional);if (normal.y !=0.0) {directional*=((1.0-u_vertical_gradient)+(u_vertical_gradient*clamp((t+base)*pow(height/150.0,0.5),mix(0.7,0.98,1.0-u_lightintensity),1.0)));}v_lighting.rgb+=clamp(directional*u_lightcolor,mix(vec3(0.0),vec3(0.3),1.0-u_lightcolor),vec3(1.0));v_lighting*=u_opacity;}"),fr=_r("#ifdef GL_ES\nprecision highp float;\n#endif\nuniform sampler2D u_image;varying vec2 v_pos;uniform vec2 u_dimension;uniform float u_zoom;uniform vec4 u_unpack;float getElevation(vec2 coord,float bias) {vec4 data=texture2D(u_image,coord)*255.0;data.a=-1.0;return dot(data,u_unpack)/4.0;}void main() {vec2 epsilon=1.0/u_dimension;float a=getElevation(v_pos+vec2(-epsilon.x,-epsilon.y),0.0);float b=getElevation(v_pos+vec2(0,-epsilon.y),0.0);float c=getElevation(v_pos+vec2(epsilon.x,-epsilon.y),0.0);float d=getElevation(v_pos+vec2(-epsilon.x,0),0.0);float e=getElevation(v_pos,0.0);float f=getElevation(v_pos+vec2(epsilon.x,0),0.0);float g=getElevation(v_pos+vec2(-epsilon.x,epsilon.y),0.0);float h=getElevation(v_pos+vec2(0,epsilon.y),0.0);float i=getElevation(v_pos+vec2(epsilon.x,epsilon.y),0.0);float exaggerationFactor=u_zoom < 2.0 ? 0.4 : u_zoom < 4.5 ? 0.35 : 0.3;float exaggeration=u_zoom < 15.0 ? (u_zoom-15.0)*exaggerationFactor : 0.0;vec2 deriv=vec2((c+f+f+i)-(a+d+d+g),(g+h+h+i)-(a+b+b+c))/pow(2.0,exaggeration+(19.2562-u_zoom));gl_FragColor=clamp(vec4(deriv.x/2.0+0.5,deriv.y/2.0+0.5,1.0,1.0),0.0,1.0);\n#ifdef OVERDRAW_INSPECTOR\ngl_FragColor=vec4(1.0);\n#endif\n}","uniform mat4 u_matrix;uniform vec2 u_dimension;attribute vec2 a_pos;attribute vec2 a_texture_pos;varying vec2 v_pos;void main() {gl_Position=u_matrix*vec4(a_pos,0,1);highp vec2 epsilon=1.0/u_dimension;float scale=(u_dimension.x-2.0)/u_dimension.x;v_pos=(a_texture_pos/8192.0)*scale+epsilon;}"),hr=_r("uniform sampler2D u_image;varying vec2 v_pos;uniform vec2 u_latrange;uniform vec2 u_light;uniform vec4 u_shadow;uniform vec4 u_highlight;uniform vec4 u_accent;\n#define PI 3.141592653589793\nvoid main() {vec4 pixel=texture2D(u_image,v_pos);vec2 deriv=((pixel.rg*2.0)-1.0);float scaleFactor=cos(radians((u_latrange[0]-u_latrange[1])*(1.0-v_pos.y)+u_latrange[1]));float slope=atan(1.25*length(deriv)/scaleFactor);float aspect=deriv.x !=0.0 ? atan(deriv.y,-deriv.x) : PI/2.0*(deriv.y > 0.0 ? 1.0 :-1.0);float intensity=u_light.x;float azimuth=u_light.y+PI;float base=1.875-intensity*1.75;float maxValue=0.5*PI;float scaledSlope=intensity !=0.5 ? ((pow(base,slope)-1.0)/(pow(base,maxValue)-1.0))*maxValue : slope;float accent=cos(scaledSlope);vec4 accent_color=(1.0-accent)*u_accent*clamp(intensity*2.0,0.0,1.0);float shade=abs(mod((aspect+azimuth)/PI+0.5,2.0)-1.0);vec4 shade_color=mix(u_shadow,u_highlight,shade)*sin(scaledSlope)*clamp(intensity*2.0,0.0,1.0);gl_FragColor=accent_color*(1.0-shade_color.a)+shade_color;\n#ifdef OVERDRAW_INSPECTOR\ngl_FragColor=vec4(1.0);\n#endif\n}","uniform mat4 u_matrix;attribute vec2 a_pos;attribute vec2 a_texture_pos;varying vec2 v_pos;void main() {gl_Position=u_matrix*vec4(a_pos,0,1);v_pos=a_texture_pos/8192.0;}"),pr=_r("uniform lowp float u_device_pixel_ratio;varying vec2 v_width2;varying vec2 v_normal;varying float v_gamma_scale;\n#pragma mapbox: define highp vec4 color\n#pragma mapbox: define lowp float blur\n#pragma mapbox: define lowp float opacity\nvoid main() {\n#pragma mapbox: initialize highp vec4 color\n#pragma mapbox: initialize lowp float blur\n#pragma mapbox: initialize lowp float opacity\nfloat dist=length(v_normal)*v_width2.s;float blur2=(blur+1.0/u_device_pixel_ratio)*v_gamma_scale;float alpha=clamp(min(dist-(v_width2.t-blur2),v_width2.s-dist)/blur2,0.0,1.0);gl_FragColor=color*(alpha*opacity);\n#ifdef OVERDRAW_INSPECTOR\ngl_FragColor=vec4(1.0);\n#endif\n}","\n#define scale 0.015873016\nattribute vec2 a_pos_normal;attribute vec4 a_data;uniform mat4 u_matrix;uniform mediump float u_ratio;uniform vec2 u_units_to_pixels;uniform lowp float u_device_pixel_ratio;varying vec2 v_normal;varying vec2 v_width2;varying float v_gamma_scale;varying highp float v_linesofar;\n#pragma mapbox: define highp vec4 color\n#pragma mapbox: define lowp float blur\n#pragma mapbox: define lowp float opacity\n#pragma mapbox: define mediump float gapwidth\n#pragma mapbox: define lowp float offset\n#pragma mapbox: define mediump float width\nvoid main() {\n#pragma mapbox: initialize highp vec4 color\n#pragma mapbox: initialize lowp float blur\n#pragma mapbox: initialize lowp float opacity\n#pragma mapbox: initialize mediump float gapwidth\n#pragma mapbox: initialize lowp float offset\n#pragma mapbox: initialize mediump float width\nfloat ANTIALIASING=1.0/u_device_pixel_ratio/2.0;vec2 a_extrude=a_data.xy-128.0;float a_direction=mod(a_data.z,4.0)-1.0;v_linesofar=(floor(a_data.z/4.0)+a_data.w*64.0)*2.0;vec2 pos=floor(a_pos_normal*0.5);mediump vec2 normal=a_pos_normal-2.0*pos;normal.y=normal.y*2.0-1.0;v_normal=normal;gapwidth=gapwidth/2.0;float halfwidth=width/2.0;offset=-1.0*offset;float inset=gapwidth+(gapwidth > 0.0 ? ANTIALIASING : 0.0);float outset=gapwidth+halfwidth*(gapwidth > 0.0 ? 2.0 : 1.0)+(halfwidth==0.0 ? 0.0 : ANTIALIASING);mediump vec2 dist=outset*a_extrude*scale;mediump float u=0.5*a_direction;mediump float t=1.0-abs(u);mediump vec2 offset2=offset*a_extrude*scale*normal.y*mat2(t,-u,u,t);vec4 projected_extrude=u_matrix*vec4(dist/u_ratio,0.0,0.0);gl_Position=u_matrix*vec4(pos+offset2/u_ratio,0.0,1.0)+projected_extrude;float extrude_length_without_perspective=length(dist);float extrude_length_with_perspective=length(projected_extrude.xy/gl_Position.w*u_units_to_pixels);v_gamma_scale=extrude_length_without_perspective/extrude_length_with_perspective;v_width2=vec2(outset,inset);}"),dr=_r("uniform lowp float u_device_pixel_ratio;uniform sampler2D u_image;varying vec2 v_width2;varying vec2 v_normal;varying float v_gamma_scale;varying highp vec2 v_uv;\n#pragma mapbox: define lowp float blur\n#pragma mapbox: define lowp float opacity\nvoid main() {\n#pragma mapbox: initialize lowp float blur\n#pragma mapbox: initialize lowp float opacity\nfloat dist=length(v_normal)*v_width2.s;float blur2=(blur+1.0/u_device_pixel_ratio)*v_gamma_scale;float alpha=clamp(min(dist-(v_width2.t-blur2),v_width2.s-dist)/blur2,0.0,1.0);vec4 color=texture2D(u_image,v_uv);gl_FragColor=color*(alpha*opacity);\n#ifdef OVERDRAW_INSPECTOR\ngl_FragColor=vec4(1.0);\n#endif\n}","\n#define scale 0.015873016\nattribute vec2 a_pos_normal;attribute vec4 a_data;attribute float a_uv_x;attribute float a_split_index;uniform mat4 u_matrix;uniform mediump float u_ratio;uniform lowp float u_device_pixel_ratio;uniform vec2 u_units_to_pixels;uniform float u_image_height;varying vec2 v_normal;varying vec2 v_width2;varying float v_gamma_scale;varying highp vec2 v_uv;\n#pragma mapbox: define lowp float blur\n#pragma mapbox: define lowp float opacity\n#pragma mapbox: define mediump float gapwidth\n#pragma mapbox: define lowp float offset\n#pragma mapbox: define mediump float width\nvoid main() {\n#pragma mapbox: initialize lowp float blur\n#pragma mapbox: initialize lowp float opacity\n#pragma mapbox: initialize mediump float gapwidth\n#pragma mapbox: initialize lowp float offset\n#pragma mapbox: initialize mediump float width\nfloat ANTIALIASING=1.0/u_device_pixel_ratio/2.0;vec2 a_extrude=a_data.xy-128.0;float a_direction=mod(a_data.z,4.0)-1.0;highp float texel_height=1.0/u_image_height;highp float half_texel_height=0.5*texel_height;v_uv=vec2(a_uv_x,a_split_index*texel_height-half_texel_height);vec2 pos=floor(a_pos_normal*0.5);mediump vec2 normal=a_pos_normal-2.0*pos;normal.y=normal.y*2.0-1.0;v_normal=normal;gapwidth=gapwidth/2.0;float halfwidth=width/2.0;offset=-1.0*offset;float inset=gapwidth+(gapwidth > 0.0 ? ANTIALIASING : 0.0);float outset=gapwidth+halfwidth*(gapwidth > 0.0 ? 2.0 : 1.0)+(halfwidth==0.0 ? 0.0 : ANTIALIASING);mediump vec2 dist=outset*a_extrude*scale;mediump float u=0.5*a_direction;mediump float t=1.0-abs(u);mediump vec2 offset2=offset*a_extrude*scale*normal.y*mat2(t,-u,u,t);vec4 projected_extrude=u_matrix*vec4(dist/u_ratio,0.0,0.0);gl_Position=u_matrix*vec4(pos+offset2/u_ratio,0.0,1.0)+projected_extrude;float extrude_length_without_perspective=length(dist);float extrude_length_with_perspective=length(projected_extrude.xy/gl_Position.w*u_units_to_pixels);v_gamma_scale=extrude_length_without_perspective/extrude_length_with_perspective;v_width2=vec2(outset,inset);}"),vr=_r("uniform lowp float u_device_pixel_ratio;uniform vec2 u_texsize;uniform float u_fade;uniform mediump vec3 u_scale;uniform sampler2D u_image;varying vec2 v_normal;varying vec2 v_width2;varying float v_linesofar;varying float v_gamma_scale;varying float v_width;\n#pragma mapbox: define lowp vec4 pattern_from\n#pragma mapbox: define lowp vec4 pattern_to\n#pragma mapbox: define lowp float pixel_ratio_from\n#pragma mapbox: define lowp float pixel_ratio_to\n#pragma mapbox: define lowp float blur\n#pragma mapbox: define lowp float opacity\nvoid main() {\n#pragma mapbox: initialize mediump vec4 pattern_from\n#pragma mapbox: initialize mediump vec4 pattern_to\n#pragma mapbox: initialize lowp float pixel_ratio_from\n#pragma mapbox: initialize lowp float pixel_ratio_to\n#pragma mapbox: initialize lowp float blur\n#pragma mapbox: initialize lowp float opacity\nvec2 pattern_tl_a=pattern_from.xy;vec2 pattern_br_a=pattern_from.zw;vec2 pattern_tl_b=pattern_to.xy;vec2 pattern_br_b=pattern_to.zw;float tileZoomRatio=u_scale.x;float fromScale=u_scale.y;float toScale=u_scale.z;vec2 display_size_a=(pattern_br_a-pattern_tl_a)/pixel_ratio_from;vec2 display_size_b=(pattern_br_b-pattern_tl_b)/pixel_ratio_to;vec2 pattern_size_a=vec2(display_size_a.x*fromScale/tileZoomRatio,display_size_a.y);vec2 pattern_size_b=vec2(display_size_b.x*toScale/tileZoomRatio,display_size_b.y);float aspect_a=display_size_a.y/v_width;float aspect_b=display_size_b.y/v_width;float dist=length(v_normal)*v_width2.s;float blur2=(blur+1.0/u_device_pixel_ratio)*v_gamma_scale;float alpha=clamp(min(dist-(v_width2.t-blur2),v_width2.s-dist)/blur2,0.0,1.0);float x_a=mod(v_linesofar/pattern_size_a.x*aspect_a,1.0);float x_b=mod(v_linesofar/pattern_size_b.x*aspect_b,1.0);float y=0.5*v_normal.y+0.5;vec2 texel_size=1.0/u_texsize;vec2 pos_a=mix(pattern_tl_a*texel_size-texel_size,pattern_br_a*texel_size+texel_size,vec2(x_a,y));vec2 pos_b=mix(pattern_tl_b*texel_size-texel_size,pattern_br_b*texel_size+texel_size,vec2(x_b,y));vec4 color=mix(texture2D(u_image,pos_a),texture2D(u_image,pos_b),u_fade);gl_FragColor=color*alpha*opacity;\n#ifdef OVERDRAW_INSPECTOR\ngl_FragColor=vec4(1.0);\n#endif\n}","\n#define scale 0.015873016\n#define LINE_DISTANCE_SCALE 2.0\nattribute vec2 a_pos_normal;attribute vec4 a_data;uniform mat4 u_matrix;uniform vec2 u_units_to_pixels;uniform mediump float u_ratio;uniform lowp float u_device_pixel_ratio;varying vec2 v_normal;varying vec2 v_width2;varying float v_linesofar;varying float v_gamma_scale;varying float v_width;\n#pragma mapbox: define lowp float blur\n#pragma mapbox: define lowp float opacity\n#pragma mapbox: define lowp float offset\n#pragma mapbox: define mediump float gapwidth\n#pragma mapbox: define mediump float width\n#pragma mapbox: define lowp float floorwidth\n#pragma mapbox: define lowp vec4 pattern_from\n#pragma mapbox: define lowp vec4 pattern_to\n#pragma mapbox: define lowp float pixel_ratio_from\n#pragma mapbox: define lowp float pixel_ratio_to\nvoid main() {\n#pragma mapbox: initialize lowp float blur\n#pragma mapbox: initialize lowp float opacity\n#pragma mapbox: initialize lowp float offset\n#pragma mapbox: initialize mediump float gapwidth\n#pragma mapbox: initialize mediump float width\n#pragma mapbox: initialize lowp float floorwidth\n#pragma mapbox: initialize mediump vec4 pattern_from\n#pragma mapbox: initialize mediump vec4 pattern_to\n#pragma mapbox: initialize lowp float pixel_ratio_from\n#pragma mapbox: initialize lowp float pixel_ratio_to\nfloat ANTIALIASING=1.0/u_device_pixel_ratio/2.0;vec2 a_extrude=a_data.xy-128.0;float a_direction=mod(a_data.z,4.0)-1.0;float a_linesofar=(floor(a_data.z/4.0)+a_data.w*64.0)*LINE_DISTANCE_SCALE;vec2 pos=floor(a_pos_normal*0.5);mediump vec2 normal=a_pos_normal-2.0*pos;normal.y=normal.y*2.0-1.0;v_normal=normal;gapwidth=gapwidth/2.0;float halfwidth=width/2.0;offset=-1.0*offset;float inset=gapwidth+(gapwidth > 0.0 ? ANTIALIASING : 0.0);float outset=gapwidth+halfwidth*(gapwidth > 0.0 ? 2.0 : 1.0)+(halfwidth==0.0 ? 0.0 : ANTIALIASING);mediump vec2 dist=outset*a_extrude*scale;mediump float u=0.5*a_direction;mediump float t=1.0-abs(u);mediump vec2 offset2=offset*a_extrude*scale*normal.y*mat2(t,-u,u,t);vec4 projected_extrude=u_matrix*vec4(dist/u_ratio,0.0,0.0);gl_Position=u_matrix*vec4(pos+offset2/u_ratio,0.0,1.0)+projected_extrude;float extrude_length_without_perspective=length(dist);float extrude_length_with_perspective=length(projected_extrude.xy/gl_Position.w*u_units_to_pixels);v_gamma_scale=extrude_length_without_perspective/extrude_length_with_perspective;v_linesofar=a_linesofar;v_width2=vec2(outset,inset);v_width=floorwidth;}"),gr=_r("uniform lowp float u_device_pixel_ratio;uniform sampler2D u_image;uniform float u_sdfgamma;uniform float u_mix;varying vec2 v_normal;varying vec2 v_width2;varying vec2 v_tex_a;varying vec2 v_tex_b;varying float v_gamma_scale;\n#pragma mapbox: define highp vec4 color\n#pragma mapbox: define lowp float blur\n#pragma mapbox: define lowp float opacity\n#pragma mapbox: define mediump float width\n#pragma mapbox: define lowp float floorwidth\nvoid main() {\n#pragma mapbox: initialize highp vec4 color\n#pragma mapbox: initialize lowp float blur\n#pragma mapbox: initialize lowp float opacity\n#pragma mapbox: initialize mediump float width\n#pragma mapbox: initialize lowp float floorwidth\nfloat dist=length(v_normal)*v_width2.s;float blur2=(blur+1.0/u_device_pixel_ratio)*v_gamma_scale;float alpha=clamp(min(dist-(v_width2.t-blur2),v_width2.s-dist)/blur2,0.0,1.0);float sdfdist_a=texture2D(u_image,v_tex_a).a;float sdfdist_b=texture2D(u_image,v_tex_b).a;float sdfdist=mix(sdfdist_a,sdfdist_b,u_mix);alpha*=smoothstep(0.5-u_sdfgamma/floorwidth,0.5+u_sdfgamma/floorwidth,sdfdist);gl_FragColor=color*(alpha*opacity);\n#ifdef OVERDRAW_INSPECTOR\ngl_FragColor=vec4(1.0);\n#endif\n}","\n#define scale 0.015873016\n#define LINE_DISTANCE_SCALE 2.0\nattribute vec2 a_pos_normal;attribute vec4 a_data;uniform mat4 u_matrix;uniform mediump float u_ratio;uniform lowp float u_device_pixel_ratio;uniform vec2 u_patternscale_a;uniform float u_tex_y_a;uniform vec2 u_patternscale_b;uniform float u_tex_y_b;uniform vec2 u_units_to_pixels;varying vec2 v_normal;varying vec2 v_width2;varying vec2 v_tex_a;varying vec2 v_tex_b;varying float v_gamma_scale;\n#pragma mapbox: define highp vec4 color\n#pragma mapbox: define lowp float blur\n#pragma mapbox: define lowp float opacity\n#pragma mapbox: define mediump float gapwidth\n#pragma mapbox: define lowp float offset\n#pragma mapbox: define mediump float width\n#pragma mapbox: define lowp float floorwidth\nvoid main() {\n#pragma mapbox: initialize highp vec4 color\n#pragma mapbox: initialize lowp float blur\n#pragma mapbox: initialize lowp float opacity\n#pragma mapbox: initialize mediump float gapwidth\n#pragma mapbox: initialize lowp float offset\n#pragma mapbox: initialize mediump float width\n#pragma mapbox: initialize lowp float floorwidth\nfloat ANTIALIASING=1.0/u_device_pixel_ratio/2.0;vec2 a_extrude=a_data.xy-128.0;float a_direction=mod(a_data.z,4.0)-1.0;float a_linesofar=(floor(a_data.z/4.0)+a_data.w*64.0)*LINE_DISTANCE_SCALE;vec2 pos=floor(a_pos_normal*0.5);mediump vec2 normal=a_pos_normal-2.0*pos;normal.y=normal.y*2.0-1.0;v_normal=normal;gapwidth=gapwidth/2.0;float halfwidth=width/2.0;offset=-1.0*offset;float inset=gapwidth+(gapwidth > 0.0 ? ANTIALIASING : 0.0);float outset=gapwidth+halfwidth*(gapwidth > 0.0 ? 2.0 : 1.0)+(halfwidth==0.0 ? 0.0 : ANTIALIASING);mediump vec2 dist=outset*a_extrude*scale;mediump float u=0.5*a_direction;mediump float t=1.0-abs(u);mediump vec2 offset2=offset*a_extrude*scale*normal.y*mat2(t,-u,u,t);vec4 projected_extrude=u_matrix*vec4(dist/u_ratio,0.0,0.0);gl_Position=u_matrix*vec4(pos+offset2/u_ratio,0.0,1.0)+projected_extrude;float extrude_length_without_perspective=length(dist);float extrude_length_with_perspective=length(projected_extrude.xy/gl_Position.w*u_units_to_pixels);v_gamma_scale=extrude_length_without_perspective/extrude_length_with_perspective;v_tex_a=vec2(a_linesofar*u_patternscale_a.x/floorwidth,normal.y*u_patternscale_a.y+u_tex_y_a);v_tex_b=vec2(a_linesofar*u_patternscale_b.x/floorwidth,normal.y*u_patternscale_b.y+u_tex_y_b);v_width2=vec2(outset,inset);}"),yr=_r("uniform float u_fade_t;uniform float u_opacity;uniform sampler2D u_image0;uniform sampler2D u_image1;varying vec2 v_pos0;varying vec2 v_pos1;uniform float u_brightness_low;uniform float u_brightness_high;uniform float u_saturation_factor;uniform float u_contrast_factor;uniform vec3 u_spin_weights;void main() {vec4 color0=texture2D(u_image0,v_pos0);vec4 color1=texture2D(u_image1,v_pos1);if (color0.a > 0.0) {color0.rgb=color0.rgb/color0.a;}if (color1.a > 0.0) {color1.rgb=color1.rgb/color1.a;}vec4 color=mix(color0,color1,u_fade_t);color.a*=u_opacity;vec3 rgb=color.rgb;rgb=vec3(dot(rgb,u_spin_weights.xyz),dot(rgb,u_spin_weights.zxy),dot(rgb,u_spin_weights.yzx));float average=(color.r+color.g+color.b)/3.0;rgb+=(average-rgb)*u_saturation_factor;rgb=(rgb-0.5)*u_contrast_factor+0.5;vec3 u_high_vec=vec3(u_brightness_low,u_brightness_low,u_brightness_low);vec3 u_low_vec=vec3(u_brightness_high,u_brightness_high,u_brightness_high);gl_FragColor=vec4(mix(u_high_vec,u_low_vec,rgb)*color.a,color.a);\n#ifdef OVERDRAW_INSPECTOR\ngl_FragColor=vec4(1.0);\n#endif\n}","uniform mat4 u_matrix;uniform vec2 u_tl_parent;uniform float u_scale_parent;uniform float u_buffer_scale;attribute vec2 a_pos;attribute vec2 a_texture_pos;varying vec2 v_pos0;varying vec2 v_pos1;void main() {gl_Position=u_matrix*vec4(a_pos,0,1);v_pos0=(((a_texture_pos/8192.0)-0.5)/u_buffer_scale )+0.5;v_pos1=(v_pos0*u_scale_parent)+u_tl_parent;}"),mr=_r("uniform sampler2D u_texture;varying vec2 v_tex;varying float v_fade_opacity;\n#pragma mapbox: define lowp float opacity\nvoid main() {\n#pragma mapbox: initialize lowp float opacity\nlowp float alpha=opacity*v_fade_opacity;gl_FragColor=texture2D(u_texture,v_tex)*alpha;\n#ifdef OVERDRAW_INSPECTOR\ngl_FragColor=vec4(1.0);\n#endif\n}","const float PI=3.141592653589793;attribute vec4 a_pos_offset;attribute vec4 a_data;attribute vec4 a_pixeloffset;attribute vec3 a_projected_pos;attribute float a_fade_opacity;uniform bool u_is_size_zoom_constant;uniform bool u_is_size_feature_constant;uniform highp float u_size_t;uniform highp float u_size;uniform highp float u_camera_to_center_distance;uniform highp float u_pitch;uniform bool u_rotate_symbol;uniform highp float u_aspect_ratio;uniform float u_fade_change;uniform mat4 u_matrix;uniform mat4 u_label_plane_matrix;uniform mat4 u_coord_matrix;uniform bool u_is_text;uniform bool u_pitch_with_map;uniform vec2 u_texsize;varying vec2 v_tex;varying float v_fade_opacity;\n#pragma mapbox: define lowp float opacity\nvoid main() {\n#pragma mapbox: initialize lowp float opacity\nvec2 a_pos=a_pos_offset.xy;vec2 a_offset=a_pos_offset.zw;vec2 a_tex=a_data.xy;vec2 a_size=a_data.zw;float a_size_min=floor(a_size[0]*0.5);vec2 a_pxoffset=a_pixeloffset.xy;vec2 a_minFontScale=a_pixeloffset.zw/256.0;highp float segment_angle=-a_projected_pos[2];float size;if (!u_is_size_zoom_constant && !u_is_size_feature_constant) {size=mix(a_size_min,a_size[1],u_size_t)/128.0;} else if (u_is_size_zoom_constant && !u_is_size_feature_constant) {size=a_size_min/128.0;} else {size=u_size;}vec4 projectedPoint=u_matrix*vec4(a_pos,0,1);highp float camera_to_anchor_distance=projectedPoint.w;highp float distance_ratio=u_pitch_with_map ?\ncamera_to_anchor_distance/u_camera_to_center_distance :\nu_camera_to_center_distance/camera_to_anchor_distance;highp float perspective_ratio=clamp(0.5+0.5*distance_ratio,0.0,4.0);size*=perspective_ratio;float fontScale=u_is_text ? size/24.0 : size;highp float symbol_rotation=0.0;if (u_rotate_symbol) {vec4 offsetProjectedPoint=u_matrix*vec4(a_pos+vec2(1,0),0,1);vec2 a=projectedPoint.xy/projectedPoint.w;vec2 b=offsetProjectedPoint.xy/offsetProjectedPoint.w;symbol_rotation=atan((b.y-a.y)/u_aspect_ratio,b.x-a.x);}highp float angle_sin=sin(segment_angle+symbol_rotation);highp float angle_cos=cos(segment_angle+symbol_rotation);mat2 rotation_matrix=mat2(angle_cos,-1.0*angle_sin,angle_sin,angle_cos);vec4 projected_pos=u_label_plane_matrix*vec4(a_projected_pos.xy,0.0,1.0);gl_Position=u_coord_matrix*vec4(projected_pos.xy/projected_pos.w+rotation_matrix*(a_offset/32.0*max(a_minFontScale,fontScale)+a_pxoffset/16.0),0.0,1.0);v_tex=a_tex/u_texsize;vec2 fade_opacity=unpack_opacity(a_fade_opacity);float fade_change=fade_opacity[1] > 0.5 ? u_fade_change :-u_fade_change;v_fade_opacity=max(0.0,min(1.0,fade_opacity[0]+fade_change));}"),xr=_r("#define SDF_PX 8.0\nuniform bool u_is_halo;uniform sampler2D u_texture;uniform highp float u_gamma_scale;uniform lowp float u_device_pixel_ratio;uniform bool u_is_text;varying vec2 v_data0;varying vec3 v_data1;\n#pragma mapbox: define highp vec4 fill_color\n#pragma mapbox: define highp vec4 halo_color\n#pragma mapbox: define lowp float opacity\n#pragma mapbox: define lowp float halo_width\n#pragma mapbox: define lowp float halo_blur\nvoid main() {\n#pragma mapbox: initialize highp vec4 fill_color\n#pragma mapbox: initialize highp vec4 halo_color\n#pragma mapbox: initialize lowp float opacity\n#pragma mapbox: initialize lowp float halo_width\n#pragma mapbox: initialize lowp float halo_blur\nfloat EDGE_GAMMA=0.105/u_device_pixel_ratio;vec2 tex=v_data0.xy;float gamma_scale=v_data1.x;float size=v_data1.y;float fade_opacity=v_data1[2];float fontScale=u_is_text ? size/24.0 : size;lowp vec4 color=fill_color;highp float gamma=EDGE_GAMMA/(fontScale*u_gamma_scale);lowp float buff=(256.0-64.0)/256.0;if (u_is_halo) {color=halo_color;gamma=(halo_blur*1.19/SDF_PX+EDGE_GAMMA)/(fontScale*u_gamma_scale);buff=(6.0-halo_width/fontScale)/SDF_PX;}lowp float dist=texture2D(u_texture,tex).a;highp float gamma_scaled=gamma*gamma_scale;highp float alpha=smoothstep(buff-gamma_scaled,buff+gamma_scaled,dist);gl_FragColor=color*(alpha*opacity*fade_opacity);\n#ifdef OVERDRAW_INSPECTOR\ngl_FragColor=vec4(1.0);\n#endif\n}","const float PI=3.141592653589793;attribute vec4 a_pos_offset;attribute vec4 a_data;attribute vec4 a_pixeloffset;attribute vec3 a_projected_pos;attribute float a_fade_opacity;uniform bool u_is_size_zoom_constant;uniform bool u_is_size_feature_constant;uniform highp float u_size_t;uniform highp float u_size;uniform mat4 u_matrix;uniform mat4 u_label_plane_matrix;uniform mat4 u_coord_matrix;uniform bool u_is_text;uniform bool u_pitch_with_map;uniform highp float u_pitch;uniform bool u_rotate_symbol;uniform highp float u_aspect_ratio;uniform highp float u_camera_to_center_distance;uniform float u_fade_change;uniform vec2 u_texsize;varying vec2 v_data0;varying vec3 v_data1;\n#pragma mapbox: define highp vec4 fill_color\n#pragma mapbox: define highp vec4 halo_color\n#pragma mapbox: define lowp float opacity\n#pragma mapbox: define lowp float halo_width\n#pragma mapbox: define lowp float halo_blur\nvoid main() {\n#pragma mapbox: initialize highp vec4 fill_color\n#pragma mapbox: initialize highp vec4 halo_color\n#pragma mapbox: initialize lowp float opacity\n#pragma mapbox: initialize lowp float halo_width\n#pragma mapbox: initialize lowp float halo_blur\nvec2 a_pos=a_pos_offset.xy;vec2 a_offset=a_pos_offset.zw;vec2 a_tex=a_data.xy;vec2 a_size=a_data.zw;float a_size_min=floor(a_size[0]*0.5);vec2 a_pxoffset=a_pixeloffset.xy;highp float segment_angle=-a_projected_pos[2];float size;if (!u_is_size_zoom_constant && !u_is_size_feature_constant) {size=mix(a_size_min,a_size[1],u_size_t)/128.0;} else if (u_is_size_zoom_constant && !u_is_size_feature_constant) {size=a_size_min/128.0;} else {size=u_size;}vec4 projectedPoint=u_matrix*vec4(a_pos,0,1);highp float camera_to_anchor_distance=projectedPoint.w;highp float distance_ratio=u_pitch_with_map ?\ncamera_to_anchor_distance/u_camera_to_center_distance :\nu_camera_to_center_distance/camera_to_anchor_distance;highp float perspective_ratio=clamp(0.5+0.5*distance_ratio,0.0,4.0);size*=perspective_ratio;float fontScale=u_is_text ? size/24.0 : size;highp float symbol_rotation=0.0;if (u_rotate_symbol) {vec4 offsetProjectedPoint=u_matrix*vec4(a_pos+vec2(1,0),0,1);vec2 a=projectedPoint.xy/projectedPoint.w;vec2 b=offsetProjectedPoint.xy/offsetProjectedPoint.w;symbol_rotation=atan((b.y-a.y)/u_aspect_ratio,b.x-a.x);}highp float angle_sin=sin(segment_angle+symbol_rotation);highp float angle_cos=cos(segment_angle+symbol_rotation);mat2 rotation_matrix=mat2(angle_cos,-1.0*angle_sin,angle_sin,angle_cos);vec4 projected_pos=u_label_plane_matrix*vec4(a_projected_pos.xy,0.0,1.0);gl_Position=u_coord_matrix*vec4(projected_pos.xy/projected_pos.w+rotation_matrix*(a_offset/32.0*fontScale+a_pxoffset),0.0,1.0);float gamma_scale=gl_Position.w;vec2 fade_opacity=unpack_opacity(a_fade_opacity);float fade_change=fade_opacity[1] > 0.5 ? u_fade_change :-u_fade_change;float interpolated_fade_opacity=max(0.0,min(1.0,fade_opacity[0]+fade_change));v_data0=a_tex/u_texsize;v_data1=vec3(gamma_scale,size,interpolated_fade_opacity);}"),br=_r("#define SDF_PX 8.0\n#define SDF 1.0\n#define ICON 0.0\nuniform bool u_is_halo;uniform sampler2D u_texture;uniform sampler2D u_texture_icon;uniform highp float u_gamma_scale;uniform lowp float u_device_pixel_ratio;varying vec4 v_data0;varying vec4 v_data1;\n#pragma mapbox: define highp vec4 fill_color\n#pragma mapbox: define highp vec4 halo_color\n#pragma mapbox: define lowp float opacity\n#pragma mapbox: define lowp float halo_width\n#pragma mapbox: define lowp float halo_blur\nvoid main() {\n#pragma mapbox: initialize highp vec4 fill_color\n#pragma mapbox: initialize highp vec4 halo_color\n#pragma mapbox: initialize lowp float opacity\n#pragma mapbox: initialize lowp float halo_width\n#pragma mapbox: initialize lowp float halo_blur\nfloat fade_opacity=v_data1[2];if (v_data1.w==ICON) {vec2 tex_icon=v_data0.zw;lowp float alpha=opacity*fade_opacity;gl_FragColor=texture2D(u_texture_icon,tex_icon)*alpha;\n#ifdef OVERDRAW_INSPECTOR\ngl_FragColor=vec4(1.0);\n#endif\nreturn;}vec2 tex=v_data0.xy;float EDGE_GAMMA=0.105/u_device_pixel_ratio;float gamma_scale=v_data1.x;float size=v_data1.y;float fontScale=size/24.0;lowp vec4 color=fill_color;highp float gamma=EDGE_GAMMA/(fontScale*u_gamma_scale);lowp float buff=(256.0-64.0)/256.0;if (u_is_halo) {color=halo_color;gamma=(halo_blur*1.19/SDF_PX+EDGE_GAMMA)/(fontScale*u_gamma_scale);buff=(6.0-halo_width/fontScale)/SDF_PX;}lowp float dist=texture2D(u_texture,tex).a;highp float gamma_scaled=gamma*gamma_scale;highp float alpha=smoothstep(buff-gamma_scaled,buff+gamma_scaled,dist);gl_FragColor=color*(alpha*opacity*fade_opacity);\n#ifdef OVERDRAW_INSPECTOR\ngl_FragColor=vec4(1.0);\n#endif\n}","const float PI=3.141592653589793;attribute vec4 a_pos_offset;attribute vec4 a_data;attribute vec3 a_projected_pos;attribute float a_fade_opacity;uniform bool u_is_size_zoom_constant;uniform bool u_is_size_feature_constant;uniform highp float u_size_t;uniform highp float u_size;uniform mat4 u_matrix;uniform mat4 u_label_plane_matrix;uniform mat4 u_coord_matrix;uniform bool u_is_text;uniform bool u_pitch_with_map;uniform highp float u_pitch;uniform bool u_rotate_symbol;uniform highp float u_aspect_ratio;uniform highp float u_camera_to_center_distance;uniform float u_fade_change;uniform vec2 u_texsize;uniform vec2 u_texsize_icon;varying vec4 v_data0;varying vec4 v_data1;\n#pragma mapbox: define highp vec4 fill_color\n#pragma mapbox: define highp vec4 halo_color\n#pragma mapbox: define lowp float opacity\n#pragma mapbox: define lowp float halo_width\n#pragma mapbox: define lowp float halo_blur\nvoid main() {\n#pragma mapbox: initialize highp vec4 fill_color\n#pragma mapbox: initialize highp vec4 halo_color\n#pragma mapbox: initialize lowp float opacity\n#pragma mapbox: initialize lowp float halo_width\n#pragma mapbox: initialize lowp float halo_blur\nvec2 a_pos=a_pos_offset.xy;vec2 a_offset=a_pos_offset.zw;vec2 a_tex=a_data.xy;vec2 a_size=a_data.zw;float a_size_min=floor(a_size[0]*0.5);float is_sdf=a_size[0]-2.0*a_size_min;highp float segment_angle=-a_projected_pos[2];float size;if (!u_is_size_zoom_constant && !u_is_size_feature_constant) {size=mix(a_size_min,a_size[1],u_size_t)/128.0;} else if (u_is_size_zoom_constant && !u_is_size_feature_constant) {size=a_size_min/128.0;} else {size=u_size;}vec4 projectedPoint=u_matrix*vec4(a_pos,0,1);highp float camera_to_anchor_distance=projectedPoint.w;highp float distance_ratio=u_pitch_with_map ?\ncamera_to_anchor_distance/u_camera_to_center_distance :\nu_camera_to_center_distance/camera_to_anchor_distance;highp float perspective_ratio=clamp(0.5+0.5*distance_ratio,0.0,4.0);size*=perspective_ratio;float fontScale=size/24.0;highp float symbol_rotation=0.0;if (u_rotate_symbol) {vec4 offsetProjectedPoint=u_matrix*vec4(a_pos+vec2(1,0),0,1);vec2 a=projectedPoint.xy/projectedPoint.w;vec2 b=offsetProjectedPoint.xy/offsetProjectedPoint.w;symbol_rotation=atan((b.y-a.y)/u_aspect_ratio,b.x-a.x);}highp float angle_sin=sin(segment_angle+symbol_rotation);highp float angle_cos=cos(segment_angle+symbol_rotation);mat2 rotation_matrix=mat2(angle_cos,-1.0*angle_sin,angle_sin,angle_cos);vec4 projected_pos=u_label_plane_matrix*vec4(a_projected_pos.xy,0.0,1.0);gl_Position=u_coord_matrix*vec4(projected_pos.xy/projected_pos.w+rotation_matrix*(a_offset/32.0*fontScale),0.0,1.0);float gamma_scale=gl_Position.w;vec2 fade_opacity=unpack_opacity(a_fade_opacity);float fade_change=fade_opacity[1] > 0.5 ? u_fade_change :-u_fade_change;float interpolated_fade_opacity=max(0.0,min(1.0,fade_opacity[0]+fade_change));v_data0.xy=a_tex/u_texsize;v_data0.zw=a_tex/u_texsize_icon;v_data1=vec4(gamma_scale,size,interpolated_fade_opacity,is_sdf);}");function _r(t,e){var r=/#pragma mapbox: ([\w]+) ([\w]+) ([\w]+) ([\w]+)/g,n=e.match(/attribute ([\w]+) ([\w]+)/g),i=t.match(/uniform ([\w]+) ([\w]+)([\s]*)([\w]*)/g),a=e.match(/uniform ([\w]+) ([\w]+)([\s]*)([\w]*)/g),o=a?a.concat(i):i,s={};return{fragmentSource:t=t.replace(r,(function(t,e,r,n,i){return s[i]=!0,"define"===e?"\n#ifndef HAS_UNIFORM_u_"+i+"\nvarying "+r+" "+n+" "+i+";\n#else\nuniform "+r+" "+n+" u_"+i+";\n#endif\n":"\n#ifdef HAS_UNIFORM_u_"+i+"\n "+r+" "+n+" "+i+" = u_"+i+";\n#endif\n"})),vertexSource:e=e.replace(r,(function(t,e,r,n,i){var a="float"===n?"vec2":"vec4",o=i.match(/color/)?"color":a;return s[i]?"define"===e?"\n#ifndef HAS_UNIFORM_u_"+i+"\nuniform lowp float u_"+i+"_t;\nattribute "+r+" "+a+" a_"+i+";\nvarying "+r+" "+n+" "+i+";\n#else\nuniform "+r+" "+n+" u_"+i+";\n#endif\n":"vec4"===o?"\n#ifndef HAS_UNIFORM_u_"+i+"\n "+i+" = a_"+i+";\n#else\n "+r+" "+n+" "+i+" = u_"+i+";\n#endif\n":"\n#ifndef HAS_UNIFORM_u_"+i+"\n "+i+" = unpack_mix_"+o+"(a_"+i+", u_"+i+"_t);\n#else\n "+r+" "+n+" "+i+" = u_"+i+";\n#endif\n":"define"===e?"\n#ifndef HAS_UNIFORM_u_"+i+"\nuniform lowp float u_"+i+"_t;\nattribute "+r+" "+a+" a_"+i+";\n#else\nuniform "+r+" "+n+" u_"+i+";\n#endif\n":"vec4"===o?"\n#ifndef HAS_UNIFORM_u_"+i+"\n "+r+" "+n+" "+i+" = a_"+i+";\n#else\n "+r+" "+n+" "+i+" = u_"+i+";\n#endif\n":"\n#ifndef HAS_UNIFORM_u_"+i+"\n "+r+" "+n+" "+i+" = unpack_mix_"+o+"(a_"+i+", u_"+i+"_t);\n#else\n "+r+" "+n+" "+i+" = u_"+i+";\n#endif\n"})),staticAttributes:n,staticUniforms:o}}var wr=Object.freeze({__proto__:null,prelude:Ze,background:Ke,backgroundPattern:Je,circle:$e,clippingMask:Qe,heatmap:tr,heatmapTexture:er,collisionBox:rr,collisionCircle:nr,debug:ir,fill:ar,fillOutline:or,fillOutlinePattern:sr,fillPattern:lr,fillExtrusion:ur,fillExtrusionPattern:cr,hillshadePrepare:fr,hillshade:hr,line:pr,lineGradient:dr,linePattern:vr,lineSDF:gr,raster:yr,symbolIcon:mr,symbolSDF:xr,symbolTextAndIcon:br}),Tr=function(){this.boundProgram=null,this.boundLayoutVertexBuffer=null,this.boundPaintVertexBuffers=[],this.boundIndexBuffer=null,this.boundVertexOffset=null,this.boundDynamicVertexBuffer=null,this.vao=null};function kr(t){for(var e=[],r=0;r>16,s>>16],u_pixel_coord_lower:[65535&o,65535&s]}}Ar.prototype.draw=function(t,e,r,n,i,a,o,s,l,u,c,f,h,p,d,v){var g,y=t.gl;if(!this.failedToCreate){for(var m in t.program.set(this.program),t.setDepthMode(r),t.setStencilMode(n),t.setColorMode(i),t.setCullFace(a),this.fixedUniforms)this.fixedUniforms[m].set(o[m]);p&&p.setUniforms(t,this.binderUniforms,f,{zoom:h});for(var x=(g={},g[y.LINES]=2,g[y.TRIANGLES]=3,g[y.LINE_STRIP]=1,g)[e],b=0,_=c.get();b<_.length;b+=1){var w=_[b],T=w.vaos||(w.vaos={});(T[s]||(T[s]=new Tr)).bind(t,this,l,p?p.getPaintVertexBuffers():[],u,w.vertexOffset,d,v),y.drawElements(e,w.primitiveLength*x,y.UNSIGNED_SHORT,w.primitiveOffset*x*2)}}};var Sr=function(e,r,n,i){var a=r.style.light,o=a.properties.get("position"),s=[o.x,o.y,o.z],l=t.create$1();"viewport"===a.properties.get("anchor")&&t.fromRotation(l,-r.transform.angle),t.transformMat3(s,s,l);var u=a.properties.get("color");return{u_matrix:e,u_lightpos:s,u_lightintensity:a.properties.get("intensity"),u_lightcolor:[u.r,u.g,u.b],u_vertical_gradient:+n,u_opacity:i}},Er=function(e,r,n,i,a,o,s){return t.extend(Sr(e,r,n,i),Mr(o,r,s),{u_height_factor:-Math.pow(2,a.overscaledZ)/s.tileSize/8})},Lr=function(t){return{u_matrix:t}},Cr=function(e,r,n,i){return t.extend(Lr(e),Mr(n,r,i))},Pr=function(t,e){return{u_matrix:t,u_world:e}},Or=function(e,r,n,i,a){return t.extend(Cr(e,r,n,i),{u_world:a})},Ir=function(e,r,n,i){var a,o,s=e.transform;if("map"===i.paint.get("circle-pitch-alignment")){var l=ge(n,1,s.zoom);a=!0,o=[l,l]}else a=!1,o=s.pixelsToGLUnits;return{u_camera_to_center_distance:s.cameraToCenterDistance,u_scale_with_map:+("map"===i.paint.get("circle-pitch-scale")),u_matrix:e.translatePosMatrix(r.posMatrix,n,i.paint.get("circle-translate"),i.paint.get("circle-translate-anchor")),u_pitch_with_map:+a,u_device_pixel_ratio:t.browser.devicePixelRatio,u_extrude_scale:o}},Dr=function(t,e,r){var n=ge(r,1,e.zoom),i=Math.pow(2,e.zoom-r.tileID.overscaledZ),a=r.tileID.overscaleFactor();return{u_matrix:t,u_camera_to_center_distance:e.cameraToCenterDistance,u_pixels_to_tile_units:n,u_extrude_scale:[e.pixelsToGLUnits[0]/(n*i),e.pixelsToGLUnits[1]/(n*i)],u_overscale_factor:a}},zr=function(t,e,r){return{u_matrix:t,u_inv_matrix:e,u_camera_to_center_distance:r.cameraToCenterDistance,u_viewport_size:[r.width,r.height]}},Rr=function(t,e,r){return void 0===r&&(r=1),{u_matrix:t,u_color:e,u_overlay:0,u_overlay_scale:r}},Fr=function(t){return{u_matrix:t}},Br=function(t,e,r,n){return{u_matrix:t,u_extrude_scale:ge(e,1,r),u_intensity:n}},Nr=function(e,r,n,i){var a=t.create();t.ortho(a,0,e.width,e.height,0,0,1);var o=e.context.gl;return{u_matrix:a,u_world:[o.drawingBufferWidth,o.drawingBufferHeight],u_image:n,u_color_ramp:i,u_opacity:r.paint.get("heatmap-opacity")}},jr=function(e,r,n){var i=n.paint.get("hillshade-shadow-color"),a=n.paint.get("hillshade-highlight-color"),o=n.paint.get("hillshade-accent-color"),s=n.paint.get("hillshade-illumination-direction")*(Math.PI/180);"viewport"===n.paint.get("hillshade-illumination-anchor")&&(s-=e.transform.angle);var l,u,c,f=!e.options.moving;return{u_matrix:e.transform.calculatePosMatrix(r.tileID.toUnwrapped(),f),u_image:0,u_latrange:(l=r.tileID,u=Math.pow(2,l.canonical.z),c=l.canonical.y,[new t.MercatorCoordinate(0,c/u).toLngLat().lat,new t.MercatorCoordinate(0,(c+1)/u).toLngLat().lat]),u_light:[n.paint.get("hillshade-exaggeration"),s],u_shadow:i,u_highlight:a,u_accent:o}},Ur=function(e,r){var n=r.stride,i=t.create();return t.ortho(i,0,t.EXTENT,-t.EXTENT,0,0,1),t.translate(i,i,[0,-t.EXTENT,0]),{u_matrix:i,u_image:1,u_dimension:[n,n],u_zoom:e.overscaledZ,u_unpack:r.getUnpackVector()}};var Vr=function(e,r,n){var i=e.transform;return{u_matrix:Yr(e,r,n),u_ratio:1/ge(r,1,i.zoom),u_device_pixel_ratio:t.browser.devicePixelRatio,u_units_to_pixels:[1/i.pixelsToGLUnits[0],1/i.pixelsToGLUnits[1]]}},qr=function(e,r,n,i){return t.extend(Vr(e,r,n),{u_image:0,u_image_height:i})},Hr=function(e,r,n,i){var a=e.transform,o=Wr(r,a);return{u_matrix:Yr(e,r,n),u_texsize:r.imageAtlasTexture.size,u_ratio:1/ge(r,1,a.zoom),u_device_pixel_ratio:t.browser.devicePixelRatio,u_image:0,u_scale:[o,i.fromScale,i.toScale],u_fade:i.t,u_units_to_pixels:[1/a.pixelsToGLUnits[0],1/a.pixelsToGLUnits[1]]}},Gr=function(e,r,n,i,a){var o=e.transform,s=e.lineAtlas,l=Wr(r,o),u="round"===n.layout.get("line-cap"),c=s.getDash(i.from,u),f=s.getDash(i.to,u),h=c.width*a.fromScale,p=f.width*a.toScale;return t.extend(Vr(e,r,n),{u_patternscale_a:[l/h,-c.height/2],u_patternscale_b:[l/p,-f.height/2],u_sdfgamma:s.width/(256*Math.min(h,p)*t.browser.devicePixelRatio)/2,u_image:0,u_tex_y_a:c.y,u_tex_y_b:f.y,u_mix:a.t})};function Wr(t,e){return 1/ge(t,1,e.tileZoom)}function Yr(t,e,r){return t.translatePosMatrix(e.tileID.posMatrix,e,r.paint.get("line-translate"),r.paint.get("line-translate-anchor"))}var Xr=function(t,e,r,n,i){return{u_matrix:t,u_tl_parent:e,u_scale_parent:r,u_buffer_scale:1,u_fade_t:n.mix,u_opacity:n.opacity*i.paint.get("raster-opacity"),u_image0:0,u_image1:1,u_brightness_low:i.paint.get("raster-brightness-min"),u_brightness_high:i.paint.get("raster-brightness-max"),u_saturation_factor:(o=i.paint.get("raster-saturation"),o>0?1-1/(1.001-o):-o),u_contrast_factor:(a=i.paint.get("raster-contrast"),a>0?1/(1-a):1+a),u_spin_weights:Zr(i.paint.get("raster-hue-rotate"))};var a,o};function Zr(t){t*=Math.PI/180;var e=Math.sin(t),r=Math.cos(t);return[(2*r+1)/3,(-Math.sqrt(3)*e-r+1)/3,(Math.sqrt(3)*e-r+1)/3]}var Kr,Jr=function(t,e,r,n,i,a,o,s,l,u){var c=i.transform;return{u_is_size_zoom_constant:+("constant"===t||"source"===t),u_is_size_feature_constant:+("constant"===t||"camera"===t),u_size_t:e?e.uSizeT:0,u_size:e?e.uSize:0,u_camera_to_center_distance:c.cameraToCenterDistance,u_pitch:c.pitch/360*2*Math.PI,u_rotate_symbol:+r,u_aspect_ratio:c.width/c.height,u_fade_change:i.options.fadeDuration?i.symbolFadeChange:1,u_matrix:a,u_label_plane_matrix:o,u_coord_matrix:s,u_is_text:+l,u_pitch_with_map:+n,u_texsize:u,u_texture:0}},$r=function(e,r,n,i,a,o,s,l,u,c,f){var h=a.transform;return t.extend(Jr(e,r,n,i,a,o,s,l,u,c),{u_gamma_scale:i?Math.cos(h._pitch)*h.cameraToCenterDistance:1,u_device_pixel_ratio:t.browser.devicePixelRatio,u_is_halo:+f})},Qr=function(e,r,n,i,a,o,s,l,u,c){return t.extend($r(e,r,n,i,a,o,s,l,!0,u,!0),{u_texsize_icon:c,u_texture_icon:1})},tn=function(t,e,r){return{u_matrix:t,u_opacity:e,u_color:r}},en=function(e,r,n,i,a,o){return t.extend(function(t,e,r,n){var i=r.imageManager.getPattern(t.from.toString()),a=r.imageManager.getPattern(t.to.toString()),o=r.imageManager.getPixelSize(),s=o.width,l=o.height,u=Math.pow(2,n.tileID.overscaledZ),c=n.tileSize*Math.pow(2,r.transform.tileZoom)/u,f=c*(n.tileID.canonical.x+n.tileID.wrap*u),h=c*n.tileID.canonical.y;return{u_image:0,u_pattern_tl_a:i.tl,u_pattern_br_a:i.br,u_pattern_tl_b:a.tl,u_pattern_br_b:a.br,u_texsize:[s,l],u_mix:e.t,u_pattern_size_a:i.displaySize,u_pattern_size_b:a.displaySize,u_scale_a:e.fromScale,u_scale_b:e.toScale,u_tile_units_to_pixels:1/ge(n,1,r.transform.tileZoom),u_pixel_coord_upper:[f>>16,h>>16],u_pixel_coord_lower:[65535&f,65535&h]}}(i,o,n,a),{u_matrix:e,u_opacity:r})},rn={fillExtrusion:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_lightpos:new t.Uniform3f(e,r.u_lightpos),u_lightintensity:new t.Uniform1f(e,r.u_lightintensity),u_lightcolor:new t.Uniform3f(e,r.u_lightcolor),u_vertical_gradient:new t.Uniform1f(e,r.u_vertical_gradient),u_opacity:new t.Uniform1f(e,r.u_opacity)}},fillExtrusionPattern:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_lightpos:new t.Uniform3f(e,r.u_lightpos),u_lightintensity:new t.Uniform1f(e,r.u_lightintensity),u_lightcolor:new t.Uniform3f(e,r.u_lightcolor),u_vertical_gradient:new t.Uniform1f(e,r.u_vertical_gradient),u_height_factor:new t.Uniform1f(e,r.u_height_factor),u_image:new t.Uniform1i(e,r.u_image),u_texsize:new t.Uniform2f(e,r.u_texsize),u_pixel_coord_upper:new t.Uniform2f(e,r.u_pixel_coord_upper),u_pixel_coord_lower:new t.Uniform2f(e,r.u_pixel_coord_lower),u_scale:new t.Uniform3f(e,r.u_scale),u_fade:new t.Uniform1f(e,r.u_fade),u_opacity:new t.Uniform1f(e,r.u_opacity)}},fill:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix)}},fillPattern:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_image:new t.Uniform1i(e,r.u_image),u_texsize:new t.Uniform2f(e,r.u_texsize),u_pixel_coord_upper:new t.Uniform2f(e,r.u_pixel_coord_upper),u_pixel_coord_lower:new t.Uniform2f(e,r.u_pixel_coord_lower),u_scale:new t.Uniform3f(e,r.u_scale),u_fade:new t.Uniform1f(e,r.u_fade)}},fillOutline:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_world:new t.Uniform2f(e,r.u_world)}},fillOutlinePattern:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_world:new t.Uniform2f(e,r.u_world),u_image:new t.Uniform1i(e,r.u_image),u_texsize:new t.Uniform2f(e,r.u_texsize),u_pixel_coord_upper:new t.Uniform2f(e,r.u_pixel_coord_upper),u_pixel_coord_lower:new t.Uniform2f(e,r.u_pixel_coord_lower),u_scale:new t.Uniform3f(e,r.u_scale),u_fade:new t.Uniform1f(e,r.u_fade)}},circle:function(e,r){return{u_camera_to_center_distance:new t.Uniform1f(e,r.u_camera_to_center_distance),u_scale_with_map:new t.Uniform1i(e,r.u_scale_with_map),u_pitch_with_map:new t.Uniform1i(e,r.u_pitch_with_map),u_extrude_scale:new t.Uniform2f(e,r.u_extrude_scale),u_device_pixel_ratio:new t.Uniform1f(e,r.u_device_pixel_ratio),u_matrix:new t.UniformMatrix4f(e,r.u_matrix)}},collisionBox:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_camera_to_center_distance:new t.Uniform1f(e,r.u_camera_to_center_distance),u_pixels_to_tile_units:new t.Uniform1f(e,r.u_pixels_to_tile_units),u_extrude_scale:new t.Uniform2f(e,r.u_extrude_scale),u_overscale_factor:new t.Uniform1f(e,r.u_overscale_factor)}},collisionCircle:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_inv_matrix:new t.UniformMatrix4f(e,r.u_inv_matrix),u_camera_to_center_distance:new t.Uniform1f(e,r.u_camera_to_center_distance),u_viewport_size:new t.Uniform2f(e,r.u_viewport_size)}},debug:function(e,r){return{u_color:new t.UniformColor(e,r.u_color),u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_overlay:new t.Uniform1i(e,r.u_overlay),u_overlay_scale:new t.Uniform1f(e,r.u_overlay_scale)}},clippingMask:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix)}},heatmap:function(e,r){return{u_extrude_scale:new t.Uniform1f(e,r.u_extrude_scale),u_intensity:new t.Uniform1f(e,r.u_intensity),u_matrix:new t.UniformMatrix4f(e,r.u_matrix)}},heatmapTexture:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_world:new t.Uniform2f(e,r.u_world),u_image:new t.Uniform1i(e,r.u_image),u_color_ramp:new t.Uniform1i(e,r.u_color_ramp),u_opacity:new t.Uniform1f(e,r.u_opacity)}},hillshade:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_image:new t.Uniform1i(e,r.u_image),u_latrange:new t.Uniform2f(e,r.u_latrange),u_light:new t.Uniform2f(e,r.u_light),u_shadow:new t.UniformColor(e,r.u_shadow),u_highlight:new t.UniformColor(e,r.u_highlight),u_accent:new t.UniformColor(e,r.u_accent)}},hillshadePrepare:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_image:new t.Uniform1i(e,r.u_image),u_dimension:new t.Uniform2f(e,r.u_dimension),u_zoom:new t.Uniform1f(e,r.u_zoom),u_unpack:new t.Uniform4f(e,r.u_unpack)}},line:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_ratio:new t.Uniform1f(e,r.u_ratio),u_device_pixel_ratio:new t.Uniform1f(e,r.u_device_pixel_ratio),u_units_to_pixels:new t.Uniform2f(e,r.u_units_to_pixels)}},lineGradient:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_ratio:new t.Uniform1f(e,r.u_ratio),u_device_pixel_ratio:new t.Uniform1f(e,r.u_device_pixel_ratio),u_units_to_pixels:new t.Uniform2f(e,r.u_units_to_pixels),u_image:new t.Uniform1i(e,r.u_image),u_image_height:new t.Uniform1f(e,r.u_image_height)}},linePattern:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_texsize:new t.Uniform2f(e,r.u_texsize),u_ratio:new t.Uniform1f(e,r.u_ratio),u_device_pixel_ratio:new t.Uniform1f(e,r.u_device_pixel_ratio),u_image:new t.Uniform1i(e,r.u_image),u_units_to_pixels:new t.Uniform2f(e,r.u_units_to_pixels),u_scale:new t.Uniform3f(e,r.u_scale),u_fade:new t.Uniform1f(e,r.u_fade)}},lineSDF:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_ratio:new t.Uniform1f(e,r.u_ratio),u_device_pixel_ratio:new t.Uniform1f(e,r.u_device_pixel_ratio),u_units_to_pixels:new t.Uniform2f(e,r.u_units_to_pixels),u_patternscale_a:new t.Uniform2f(e,r.u_patternscale_a),u_patternscale_b:new t.Uniform2f(e,r.u_patternscale_b),u_sdfgamma:new t.Uniform1f(e,r.u_sdfgamma),u_image:new t.Uniform1i(e,r.u_image),u_tex_y_a:new t.Uniform1f(e,r.u_tex_y_a),u_tex_y_b:new t.Uniform1f(e,r.u_tex_y_b),u_mix:new t.Uniform1f(e,r.u_mix)}},raster:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_tl_parent:new t.Uniform2f(e,r.u_tl_parent),u_scale_parent:new t.Uniform1f(e,r.u_scale_parent),u_buffer_scale:new t.Uniform1f(e,r.u_buffer_scale),u_fade_t:new t.Uniform1f(e,r.u_fade_t),u_opacity:new t.Uniform1f(e,r.u_opacity),u_image0:new t.Uniform1i(e,r.u_image0),u_image1:new t.Uniform1i(e,r.u_image1),u_brightness_low:new t.Uniform1f(e,r.u_brightness_low),u_brightness_high:new t.Uniform1f(e,r.u_brightness_high),u_saturation_factor:new t.Uniform1f(e,r.u_saturation_factor),u_contrast_factor:new t.Uniform1f(e,r.u_contrast_factor),u_spin_weights:new t.Uniform3f(e,r.u_spin_weights)}},symbolIcon:function(e,r){return{u_is_size_zoom_constant:new t.Uniform1i(e,r.u_is_size_zoom_constant),u_is_size_feature_constant:new t.Uniform1i(e,r.u_is_size_feature_constant),u_size_t:new t.Uniform1f(e,r.u_size_t),u_size:new t.Uniform1f(e,r.u_size),u_camera_to_center_distance:new t.Uniform1f(e,r.u_camera_to_center_distance),u_pitch:new t.Uniform1f(e,r.u_pitch),u_rotate_symbol:new t.Uniform1i(e,r.u_rotate_symbol),u_aspect_ratio:new t.Uniform1f(e,r.u_aspect_ratio),u_fade_change:new t.Uniform1f(e,r.u_fade_change),u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_label_plane_matrix:new t.UniformMatrix4f(e,r.u_label_plane_matrix),u_coord_matrix:new t.UniformMatrix4f(e,r.u_coord_matrix),u_is_text:new t.Uniform1i(e,r.u_is_text),u_pitch_with_map:new t.Uniform1i(e,r.u_pitch_with_map),u_texsize:new t.Uniform2f(e,r.u_texsize),u_texture:new t.Uniform1i(e,r.u_texture)}},symbolSDF:function(e,r){return{u_is_size_zoom_constant:new t.Uniform1i(e,r.u_is_size_zoom_constant),u_is_size_feature_constant:new t.Uniform1i(e,r.u_is_size_feature_constant),u_size_t:new t.Uniform1f(e,r.u_size_t),u_size:new t.Uniform1f(e,r.u_size),u_camera_to_center_distance:new t.Uniform1f(e,r.u_camera_to_center_distance),u_pitch:new t.Uniform1f(e,r.u_pitch),u_rotate_symbol:new t.Uniform1i(e,r.u_rotate_symbol),u_aspect_ratio:new t.Uniform1f(e,r.u_aspect_ratio),u_fade_change:new t.Uniform1f(e,r.u_fade_change),u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_label_plane_matrix:new t.UniformMatrix4f(e,r.u_label_plane_matrix),u_coord_matrix:new t.UniformMatrix4f(e,r.u_coord_matrix),u_is_text:new t.Uniform1i(e,r.u_is_text),u_pitch_with_map:new t.Uniform1i(e,r.u_pitch_with_map),u_texsize:new t.Uniform2f(e,r.u_texsize),u_texture:new t.Uniform1i(e,r.u_texture),u_gamma_scale:new t.Uniform1f(e,r.u_gamma_scale),u_device_pixel_ratio:new t.Uniform1f(e,r.u_device_pixel_ratio),u_is_halo:new t.Uniform1i(e,r.u_is_halo)}},symbolTextAndIcon:function(e,r){return{u_is_size_zoom_constant:new t.Uniform1i(e,r.u_is_size_zoom_constant),u_is_size_feature_constant:new t.Uniform1i(e,r.u_is_size_feature_constant),u_size_t:new t.Uniform1f(e,r.u_size_t),u_size:new t.Uniform1f(e,r.u_size),u_camera_to_center_distance:new t.Uniform1f(e,r.u_camera_to_center_distance),u_pitch:new t.Uniform1f(e,r.u_pitch),u_rotate_symbol:new t.Uniform1i(e,r.u_rotate_symbol),u_aspect_ratio:new t.Uniform1f(e,r.u_aspect_ratio),u_fade_change:new t.Uniform1f(e,r.u_fade_change),u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_label_plane_matrix:new t.UniformMatrix4f(e,r.u_label_plane_matrix),u_coord_matrix:new t.UniformMatrix4f(e,r.u_coord_matrix),u_is_text:new t.Uniform1i(e,r.u_is_text),u_pitch_with_map:new t.Uniform1i(e,r.u_pitch_with_map),u_texsize:new t.Uniform2f(e,r.u_texsize),u_texsize_icon:new t.Uniform2f(e,r.u_texsize_icon),u_texture:new t.Uniform1i(e,r.u_texture),u_texture_icon:new t.Uniform1i(e,r.u_texture_icon),u_gamma_scale:new t.Uniform1f(e,r.u_gamma_scale),u_device_pixel_ratio:new t.Uniform1f(e,r.u_device_pixel_ratio),u_is_halo:new t.Uniform1i(e,r.u_is_halo)}},background:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_opacity:new t.Uniform1f(e,r.u_opacity),u_color:new t.UniformColor(e,r.u_color)}},backgroundPattern:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_opacity:new t.Uniform1f(e,r.u_opacity),u_image:new t.Uniform1i(e,r.u_image),u_pattern_tl_a:new t.Uniform2f(e,r.u_pattern_tl_a),u_pattern_br_a:new t.Uniform2f(e,r.u_pattern_br_a),u_pattern_tl_b:new t.Uniform2f(e,r.u_pattern_tl_b),u_pattern_br_b:new t.Uniform2f(e,r.u_pattern_br_b),u_texsize:new t.Uniform2f(e,r.u_texsize),u_mix:new t.Uniform1f(e,r.u_mix),u_pattern_size_a:new t.Uniform2f(e,r.u_pattern_size_a),u_pattern_size_b:new t.Uniform2f(e,r.u_pattern_size_b),u_scale_a:new t.Uniform1f(e,r.u_scale_a),u_scale_b:new t.Uniform1f(e,r.u_scale_b),u_pixel_coord_upper:new t.Uniform2f(e,r.u_pixel_coord_upper),u_pixel_coord_lower:new t.Uniform2f(e,r.u_pixel_coord_lower),u_tile_units_to_pixels:new t.Uniform1f(e,r.u_tile_units_to_pixels)}}};function nn(e,r,n,i,a,o,s){for(var l=e.context,u=l.gl,c=e.useProgram("collisionBox"),f=[],h=0,p=0,d=0;d0){var _=t.create(),w=m;t.mul(_,y.placementInvProjMatrix,e.transform.glCoordMatrix),t.mul(_,_,y.placementViewportMatrix),f.push({circleArray:b,circleOffset:p,transform:w,invTransform:_}),p=h+=b.length/4}x&&c.draw(l,u.LINES,Mt.disabled,Et.disabled,e.colorModeForRenderPass(),Ct.disabled,Dr(m,e.transform,g),n.id,x.layoutVertexBuffer,x.indexBuffer,x.segments,null,e.transform.zoom,null,null,x.collisionVertexBuffer)}}if(s&&f.length){var T=e.useProgram("collisionCircle"),k=new t.StructArrayLayout2f1f2i16;k.resize(4*h),k._trim();for(var A=0,M=0,S=f;M=0&&(v[y.associatedIconIndex]={shiftedAnchor:S,angle:E})}else he(y.numGlyphs,p)}if(f){d.clear();for(var C=e.icon.placedSymbolArray,P=0;P0){var s=t.browser.now(),l=(s-e.timeAdded)/o,u=r?(s-r.timeAdded)/o:-1,c=n.getSource(),f=a.coveringZoomLevel({tileSize:c.tileSize,roundZoom:c.roundZoom}),h=!r||Math.abs(r.tileID.overscaledZ-f)>Math.abs(e.tileID.overscaledZ-f),p=h&&e.refreshedUponExpiration?1:t.clamp(h?l:1-u,0,1);return e.refreshedUponExpiration&&l>=1&&(e.refreshedUponExpiration=!1),r?{opacity:1,mix:1-p}:{opacity:p,mix:0}}return{opacity:1,mix:0}}var gn=new t.Color(1,0,0,1),yn=new t.Color(0,1,0,1),mn=new t.Color(0,0,1,1),xn=new t.Color(1,0,1,1),bn=new t.Color(0,1,1,1);function _n(t){var e=t.transform.padding;wn(t,t.transform.height-(e.top||0),3,gn),wn(t,e.bottom||0,3,yn),Tn(t,e.left||0,3,mn),Tn(t,t.transform.width-(e.right||0),3,xn);var r=t.transform.centerPoint;!function(t,e,r,n){var i=20,a=2;kn(t,e-a/2,r-i/2,a,i,n),kn(t,e-i/2,r-a/2,i,a,n)}(t,r.x,t.transform.height-r.y,bn)}function wn(t,e,r,n){kn(t,0,e+r/2,t.transform.width,r,n)}function Tn(t,e,r,n){kn(t,e-r/2,0,r,t.transform.height,n)}function kn(e,r,n,i,a,o){var s=e.context,l=s.gl;l.enable(l.SCISSOR_TEST),l.scissor(r*t.browser.devicePixelRatio,n*t.browser.devicePixelRatio,i*t.browser.devicePixelRatio,a*t.browser.devicePixelRatio),s.clear({color:o}),l.disable(l.SCISSOR_TEST)}function An(e,r,n){var i=e.context,a=i.gl,o=n.posMatrix,s=e.useProgram("debug"),l=Mt.disabled,u=Et.disabled,c=e.colorModeForRenderPass(),f="$debug";i.activeTexture.set(a.TEXTURE0),e.emptyTexture.bind(a.LINEAR,a.CLAMP_TO_EDGE),s.draw(i,a.LINE_STRIP,l,u,c,Ct.disabled,Rr(o,t.Color.red),f,e.debugBuffer,e.tileBorderIndexBuffer,e.debugSegments);var h=r.getTileByID(n.key).latestRawTileData,p=h&&h.byteLength||0,d=Math.floor(p/1024),v=r.getTile(n).tileSize,g=512/Math.min(v,512)*(n.overscaledZ/e.transform.zoom)*.5,y=n.canonical.toString();n.overscaledZ!==n.canonical.z&&(y+=" => "+n.overscaledZ),function(t,e){t.initDebugOverlayCanvas();var r=t.debugOverlayCanvas,n=t.context.gl,i=t.debugOverlayCanvas.getContext("2d");i.clearRect(0,0,r.width,r.height),i.shadowColor="white",i.shadowBlur=2,i.lineWidth=1.5,i.strokeStyle="white",i.textBaseline="top",i.font="bold 36px Open Sans, sans-serif",i.fillText(e,5,5),i.strokeText(e,5,5),t.debugOverlayTexture.update(r),t.debugOverlayTexture.bind(n.LINEAR,n.CLAMP_TO_EDGE)}(e,y+" "+d+"kb"),s.draw(i,a.TRIANGLES,l,u,Lt.alphaBlended,Ct.disabled,Rr(o,t.Color.transparent,g),f,e.debugBuffer,e.quadTriangleIndexBuffer,e.debugSegments)}var Mn={symbol:function(e,r,n,i,a){if("translucent"===e.renderPass){var o=Et.disabled,s=e.colorModeForRenderPass();n.layout.get("text-variable-anchor")&&function(e,r,n,i,a,o,s){for(var l=r.transform,u="map"===a,c="map"===o,f=0,h=e;f256&&this.clearStencil(),r.setColorMode(Lt.disabled),r.setDepthMode(Mt.disabled);var i=this.useProgram("clippingMask");this._tileClippingMaskIDs={};for(var a=0,o=e;a256&&this.clearStencil();var t=this.nextStencilID++,e=this.context.gl;return new Et({func:e.NOTEQUAL,mask:255},t,255,e.KEEP,e.KEEP,e.REPLACE)},Sn.prototype.stencilModeForClipping=function(t){var e=this.context.gl;return new Et({func:e.EQUAL,mask:255},this._tileClippingMaskIDs[t.key],0,e.KEEP,e.KEEP,e.REPLACE)},Sn.prototype.stencilConfigForOverlap=function(t){var e,r=this.context.gl,n=t.sort((function(t,e){return e.overscaledZ-t.overscaledZ})),i=n[n.length-1].overscaledZ,a=n[0].overscaledZ-i+1;if(a>1){this.currentStencilSource=void 0,this.nextStencilID+a>256&&this.clearStencil();for(var o={},s=0;s=0;this.currentLayer--){var w=this.style._layers[i[this.currentLayer]],T=a[w.source],k=c[w.source];this._renderTileClippingMasks(w,k),this.renderLayer(this,T,w,k)}for(this.renderPass="translucent",this.currentLayer=0;this.currentLayer0?e.pop():null},Sn.prototype.isPatternMissing=function(t){if(!t)return!1;if(!t.from||!t.to)return!0;var e=this.imageManager.getPattern(t.from.toString()),r=this.imageManager.getPattern(t.to.toString());return!e||!r},Sn.prototype.useProgram=function(t,e){this.cache=this.cache||{};var r=""+t+(e?e.cacheKey:"")+(this._showOverdrawInspector?"/overdraw":"");return this.cache[r]||(this.cache[r]=new Ar(this.context,t,wr[t],e,rn[t],this._showOverdrawInspector)),this.cache[r]},Sn.prototype.setCustomLayerDefaults=function(){this.context.unbindVAO(),this.context.cullFace.setDefault(),this.context.activeTexture.setDefault(),this.context.pixelStoreUnpack.setDefault(),this.context.pixelStoreUnpackPremultiplyAlpha.setDefault(),this.context.pixelStoreUnpackFlipY.setDefault()},Sn.prototype.setBaseState=function(){var t=this.context.gl;this.context.cullFace.set(!1),this.context.viewport.set([0,0,this.width,this.height]),this.context.blendEquation.set(t.FUNC_ADD)},Sn.prototype.initDebugOverlayCanvas=function(){if(null==this.debugOverlayCanvas){this.debugOverlayCanvas=t.window.document.createElement("canvas"),this.debugOverlayCanvas.width=512,this.debugOverlayCanvas.height=512;var e=this.context.gl;this.debugOverlayTexture=new t.Texture(this.context,this.debugOverlayCanvas,e.RGBA)}},Sn.prototype.destroy=function(){this.emptyTexture.destroy(),this.debugOverlayTexture&&this.debugOverlayTexture.destroy()};var En=function(t,e){this.points=t,this.planes=e};En.fromInvProjectionMatrix=function(e,r,n){var i=Math.pow(2,n),a=[[-1,1,-1,1],[1,1,-1,1],[1,-1,-1,1],[-1,-1,-1,1],[-1,1,1,1],[1,1,1,1],[1,-1,1,1],[-1,-1,1,1]].map((function(r){return t.transformMat4([],r,e)})).map((function(e){return t.scale$1([],e,1/e[3]/r*i)})),o=[[0,1,2],[6,5,4],[0,3,7],[2,1,5],[3,2,6],[0,4,5]].map((function(e){var r=t.sub([],a[e[0]],a[e[1]]),n=t.sub([],a[e[2]],a[e[1]]),i=t.normalize([],t.cross([],r,n)),o=-t.dot(i,a[e[1]]);return i.concat(o)}));return new En(a,o)};var Ln=function(e,r){this.min=e,this.max=r,this.center=t.scale$2([],t.add([],this.min,this.max),.5)};Ln.prototype.quadrant=function(e){for(var r=[e%2==0,e<2],n=t.clone$2(this.min),i=t.clone$2(this.max),a=0;a=0;if(0===o)return 0;o!==r.length&&(n=!1)}if(n)return 2;for(var l=0;l<3;l++){for(var u=Number.MAX_VALUE,c=-Number.MAX_VALUE,f=0;fthis.max[l]-this.min[l])return 0}return 1};var Cn=function(t,e,r,n){if(void 0===t&&(t=0),void 0===e&&(e=0),void 0===r&&(r=0),void 0===n&&(n=0),isNaN(t)||t<0||isNaN(e)||e<0||isNaN(r)||r<0||isNaN(n)||n<0)throw new Error("Invalid value for edge-insets, top, bottom, left and right must all be numbers");this.top=t,this.bottom=e,this.left=r,this.right=n};Cn.prototype.interpolate=function(e,r,n){return null!=r.top&&null!=e.top&&(this.top=t.number(e.top,r.top,n)),null!=r.bottom&&null!=e.bottom&&(this.bottom=t.number(e.bottom,r.bottom,n)),null!=r.left&&null!=e.left&&(this.left=t.number(e.left,r.left,n)),null!=r.right&&null!=e.right&&(this.right=t.number(e.right,r.right,n)),this},Cn.prototype.getCenter=function(e,r){var n=t.clamp((this.left+e-this.right)/2,0,e),i=t.clamp((this.top+r-this.bottom)/2,0,r);return new t.Point(n,i)},Cn.prototype.equals=function(t){return this.top===t.top&&this.bottom===t.bottom&&this.left===t.left&&this.right===t.right},Cn.prototype.clone=function(){return new Cn(this.top,this.bottom,this.left,this.right)},Cn.prototype.toJSON=function(){return{top:this.top,bottom:this.bottom,left:this.left,right:this.right}};var Pn=function(e,r,n,i,a){this.tileSize=512,this.maxValidLatitude=85.051129,this._renderWorldCopies=void 0===a||a,this._minZoom=e||0,this._maxZoom=r||22,this._minPitch=null==n?0:n,this._maxPitch=null==i?60:i,this.setMaxBounds(),this.width=0,this.height=0,this._center=new t.LngLat(0,0),this.zoom=0,this.angle=0,this._fov=.6435011087932844,this._pitch=0,this._unmodified=!0,this._edgeInsets=new Cn,this._posMatrixCache={},this._alignedPosMatrixCache={}},On={minZoom:{configurable:!0},maxZoom:{configurable:!0},minPitch:{configurable:!0},maxPitch:{configurable:!0},renderWorldCopies:{configurable:!0},worldSize:{configurable:!0},centerOffset:{configurable:!0},size:{configurable:!0},bearing:{configurable:!0},pitch:{configurable:!0},fov:{configurable:!0},zoom:{configurable:!0},center:{configurable:!0},padding:{configurable:!0},centerPoint:{configurable:!0},unmodified:{configurable:!0},point:{configurable:!0}};Pn.prototype.clone=function(){var t=new Pn(this._minZoom,this._maxZoom,this._minPitch,this.maxPitch,this._renderWorldCopies);return t.tileSize=this.tileSize,t.latRange=this.latRange,t.width=this.width,t.height=this.height,t._center=this._center,t.zoom=this.zoom,t.angle=this.angle,t._fov=this._fov,t._pitch=this._pitch,t._unmodified=this._unmodified,t._edgeInsets=this._edgeInsets.clone(),t._calcMatrices(),t},On.minZoom.get=function(){return this._minZoom},On.minZoom.set=function(t){this._minZoom!==t&&(this._minZoom=t,this.zoom=Math.max(this.zoom,t))},On.maxZoom.get=function(){return this._maxZoom},On.maxZoom.set=function(t){this._maxZoom!==t&&(this._maxZoom=t,this.zoom=Math.min(this.zoom,t))},On.minPitch.get=function(){return this._minPitch},On.minPitch.set=function(t){this._minPitch!==t&&(this._minPitch=t,this.pitch=Math.max(this.pitch,t))},On.maxPitch.get=function(){return this._maxPitch},On.maxPitch.set=function(t){this._maxPitch!==t&&(this._maxPitch=t,this.pitch=Math.min(this.pitch,t))},On.renderWorldCopies.get=function(){return this._renderWorldCopies},On.renderWorldCopies.set=function(t){void 0===t?t=!0:null===t&&(t=!1),this._renderWorldCopies=t},On.worldSize.get=function(){return this.tileSize*this.scale},On.centerOffset.get=function(){return this.centerPoint._sub(this.size._div(2))},On.size.get=function(){return new t.Point(this.width,this.height)},On.bearing.get=function(){return-this.angle/Math.PI*180},On.bearing.set=function(e){var r=-t.wrap(e,-180,180)*Math.PI/180;this.angle!==r&&(this._unmodified=!1,this.angle=r,this._calcMatrices(),this.rotationMatrix=t.create$2(),t.rotate(this.rotationMatrix,this.rotationMatrix,this.angle))},On.pitch.get=function(){return this._pitch/Math.PI*180},On.pitch.set=function(e){var r=t.clamp(e,this.minPitch,this.maxPitch)/180*Math.PI;this._pitch!==r&&(this._unmodified=!1,this._pitch=r,this._calcMatrices())},On.fov.get=function(){return this._fov/Math.PI*180},On.fov.set=function(t){t=Math.max(.01,Math.min(60,t)),this._fov!==t&&(this._unmodified=!1,this._fov=t/180*Math.PI,this._calcMatrices())},On.zoom.get=function(){return this._zoom},On.zoom.set=function(t){var e=Math.min(Math.max(t,this.minZoom),this.maxZoom);this._zoom!==e&&(this._unmodified=!1,this._zoom=e,this.scale=this.zoomScale(e),this.tileZoom=Math.floor(e),this.zoomFraction=e-this.tileZoom,this._constrain(),this._calcMatrices())},On.center.get=function(){return this._center},On.center.set=function(t){t.lat===this._center.lat&&t.lng===this._center.lng||(this._unmodified=!1,this._center=t,this._constrain(),this._calcMatrices())},On.padding.get=function(){return this._edgeInsets.toJSON()},On.padding.set=function(t){this._edgeInsets.equals(t)||(this._unmodified=!1,this._edgeInsets.interpolate(this._edgeInsets,t,1),this._calcMatrices())},On.centerPoint.get=function(){return this._edgeInsets.getCenter(this.width,this.height)},Pn.prototype.isPaddingEqual=function(t){return this._edgeInsets.equals(t)},Pn.prototype.interpolatePadding=function(t,e,r){this._unmodified=!1,this._edgeInsets.interpolate(t,e,r),this._constrain(),this._calcMatrices()},Pn.prototype.coveringZoomLevel=function(t){var e=(t.roundZoom?Math.round:Math.floor)(this.zoom+this.scaleZoom(this.tileSize/t.tileSize));return Math.max(0,e)},Pn.prototype.getVisibleUnwrappedCoordinates=function(e){var r=[new t.UnwrappedTileID(0,e)];if(this._renderWorldCopies)for(var n=this.pointCoordinate(new t.Point(0,0)),i=this.pointCoordinate(new t.Point(this.width,0)),a=this.pointCoordinate(new t.Point(this.width,this.height)),o=this.pointCoordinate(new t.Point(0,this.height)),s=Math.floor(Math.min(n.x,i.x,a.x,o.x)),l=Math.floor(Math.max(n.x,i.x,a.x,o.x)),u=s-1;u<=l+1;u++)0!==u&&r.push(new t.UnwrappedTileID(u,e));return r},Pn.prototype.coveringTiles=function(e){var r=this.coveringZoomLevel(e),n=r;if(void 0!==e.minzoom&&re.maxzoom&&(r=e.maxzoom);var i=t.MercatorCoordinate.fromLngLat(this.center),a=Math.pow(2,r),o=[a*i.x,a*i.y,0],s=En.fromInvProjectionMatrix(this.invProjMatrix,this.worldSize,r),l=e.minzoom||0;this.pitch<=60&&this._edgeInsets.top<.1&&(l=r);var u=function(t){return{aabb:new Ln([t*a,0,0],[(t+1)*a,a,0]),zoom:0,x:0,y:0,wrap:t,fullyVisible:!1}},c=[],f=[],h=r,p=e.reparseOverscaled?n:r;if(this._renderWorldCopies)for(var d=1;d<=3;d++)c.push(u(-d)),c.push(u(d));for(c.push(u(0));c.length>0;){var v=c.pop(),g=v.x,y=v.y,m=v.fullyVisible;if(!m){var x=v.aabb.intersects(s);if(0===x)continue;m=2===x}var b=v.aabb.distanceX(o),_=v.aabb.distanceY(o),w=Math.max(Math.abs(b),Math.abs(_)),T=3+(1<T&&v.zoom>=l)f.push({tileID:new t.OverscaledTileID(v.zoom===h?p:v.zoom,v.wrap,v.zoom,g,y),distanceSq:t.sqrLen([o[0]-.5-g,o[1]-.5-y])});else for(var k=0;k<4;k++){var A=(g<<1)+k%2,M=(y<<1)+(k>>1);c.push({aabb:v.aabb.quadrant(k),zoom:v.zoom+1,x:A,y:M,wrap:v.wrap,fullyVisible:m})}}return f.sort((function(t,e){return t.distanceSq-e.distanceSq})).map((function(t){return t.tileID}))},Pn.prototype.resize=function(t,e){this.width=t,this.height=e,this.pixelsToGLUnits=[2/t,-2/e],this._constrain(),this._calcMatrices()},On.unmodified.get=function(){return this._unmodified},Pn.prototype.zoomScale=function(t){return Math.pow(2,t)},Pn.prototype.scaleZoom=function(t){return Math.log(t)/Math.LN2},Pn.prototype.project=function(e){var r=t.clamp(e.lat,-this.maxValidLatitude,this.maxValidLatitude);return new t.Point(t.mercatorXfromLng(e.lng)*this.worldSize,t.mercatorYfromLat(r)*this.worldSize)},Pn.prototype.unproject=function(e){return new t.MercatorCoordinate(e.x/this.worldSize,e.y/this.worldSize).toLngLat()},On.point.get=function(){return this.project(this.center)},Pn.prototype.setLocationAtPoint=function(e,r){var n=this.pointCoordinate(r),i=this.pointCoordinate(this.centerPoint),a=this.locationCoordinate(e),o=new t.MercatorCoordinate(a.x-(n.x-i.x),a.y-(n.y-i.y));this.center=this.coordinateLocation(o),this._renderWorldCopies&&(this.center=this.center.wrap())},Pn.prototype.locationPoint=function(t){return this.coordinatePoint(this.locationCoordinate(t))},Pn.prototype.pointLocation=function(t){return this.coordinateLocation(this.pointCoordinate(t))},Pn.prototype.locationCoordinate=function(e){return t.MercatorCoordinate.fromLngLat(e)},Pn.prototype.coordinateLocation=function(t){return t.toLngLat()},Pn.prototype.pointCoordinate=function(e){var r=[e.x,e.y,0,1],n=[e.x,e.y,1,1];t.transformMat4(r,r,this.pixelMatrixInverse),t.transformMat4(n,n,this.pixelMatrixInverse);var i=r[3],a=n[3],o=r[0]/i,s=n[0]/a,l=r[1]/i,u=n[1]/a,c=r[2]/i,f=n[2]/a,h=c===f?0:(0-c)/(f-c);return new t.MercatorCoordinate(t.number(o,s,h)/this.worldSize,t.number(l,u,h)/this.worldSize)},Pn.prototype.coordinatePoint=function(e){var r=[e.x*this.worldSize,e.y*this.worldSize,0,1];return t.transformMat4(r,r,this.pixelMatrix),new t.Point(r[0]/r[3],r[1]/r[3])},Pn.prototype.getBounds=function(){return(new t.LngLatBounds).extend(this.pointLocation(new t.Point(0,0))).extend(this.pointLocation(new t.Point(this.width,0))).extend(this.pointLocation(new t.Point(this.width,this.height))).extend(this.pointLocation(new t.Point(0,this.height)))},Pn.prototype.getMaxBounds=function(){return this.latRange&&2===this.latRange.length&&this.lngRange&&2===this.lngRange.length?new t.LngLatBounds([this.lngRange[0],this.latRange[0]],[this.lngRange[1],this.latRange[1]]):null},Pn.prototype.setMaxBounds=function(t){t?(this.lngRange=[t.getWest(),t.getEast()],this.latRange=[t.getSouth(),t.getNorth()],this._constrain()):(this.lngRange=null,this.latRange=[-this.maxValidLatitude,this.maxValidLatitude])},Pn.prototype.calculatePosMatrix=function(e,r){void 0===r&&(r=!1);var n=e.key,i=r?this._alignedPosMatrixCache:this._posMatrixCache;if(i[n])return i[n];var a=e.canonical,o=this.worldSize/this.zoomScale(a.z),s=a.x+Math.pow(2,a.z)*e.wrap,l=t.identity(new Float64Array(16));return t.translate(l,l,[s*o,a.y*o,0]),t.scale(l,l,[o/t.EXTENT,o/t.EXTENT,1]),t.multiply(l,r?this.alignedProjMatrix:this.projMatrix,l),i[n]=new Float32Array(l),i[n]},Pn.prototype.customLayerMatrix=function(){return this.mercatorMatrix.slice()},Pn.prototype._constrain=function(){if(this.center&&this.width&&this.height&&!this._constraining){this._constraining=!0;var e,r,n,i,a=-90,o=90,s=-180,l=180,u=this.size,c=this._unmodified;if(this.latRange){var f=this.latRange;a=t.mercatorYfromLat(f[1])*this.worldSize,e=(o=t.mercatorYfromLat(f[0])*this.worldSize)-ao&&(i=o-g)}if(this.lngRange){var y=p.x,m=u.x/2;y-ml&&(n=l-m)}void 0===n&&void 0===i||(this.center=this.unproject(new t.Point(void 0!==n?n:p.x,void 0!==i?i:p.y))),this._unmodified=c,this._constraining=!1}},Pn.prototype._calcMatrices=function(){if(this.height){var e=this._fov/2,r=this.centerOffset;this.cameraToCenterDistance=.5/Math.tan(e)*this.height;var n=Math.PI/2+this._pitch,i=this._fov*(.5+r.y/this.height),a=Math.sin(i)*this.cameraToCenterDistance/Math.sin(t.clamp(Math.PI-n-i,.01,Math.PI-.01)),o=this.point,s=o.x,l=o.y,u=1.01*(Math.cos(Math.PI/2-this._pitch)*a+this.cameraToCenterDistance),c=this.height/50,f=new Float64Array(16);t.perspective(f,this._fov,this.width/this.height,c,u),f[8]=2*-r.x/this.width,f[9]=2*r.y/this.height,t.scale(f,f,[1,-1,1]),t.translate(f,f,[0,0,-this.cameraToCenterDistance]),t.rotateX(f,f,this._pitch),t.rotateZ(f,f,this.angle),t.translate(f,f,[-s,-l,0]),this.mercatorMatrix=t.scale([],f,[this.worldSize,this.worldSize,this.worldSize]),t.scale(f,f,[1,1,t.mercatorZfromAltitude(1,this.center.lat)*this.worldSize,1]),this.projMatrix=f,this.invProjMatrix=t.invert([],this.projMatrix);var h=this.width%2/2,p=this.height%2/2,d=Math.cos(this.angle),v=Math.sin(this.angle),g=s-Math.round(s)+d*h+v*p,y=l-Math.round(l)+d*p+v*h,m=new Float64Array(f);if(t.translate(m,m,[g>.5?g-1:g,y>.5?y-1:y,0]),this.alignedProjMatrix=m,f=t.create(),t.scale(f,f,[this.width/2,-this.height/2,1]),t.translate(f,f,[1,-1,0]),this.labelPlaneMatrix=f,f=t.create(),t.scale(f,f,[1,-1,1]),t.translate(f,f,[-1,-1,0]),t.scale(f,f,[2/this.width,2/this.height,1]),this.glCoordMatrix=f,this.pixelMatrix=t.multiply(new Float64Array(16),this.labelPlaneMatrix,this.projMatrix),!(f=t.invert(new Float64Array(16),this.pixelMatrix)))throw new Error("failed to invert matrix");this.pixelMatrixInverse=f,this._posMatrixCache={},this._alignedPosMatrixCache={}}},Pn.prototype.maxPitchScaleFactor=function(){if(!this.pixelMatrixInverse)return 1;var e=this.pointCoordinate(new t.Point(0,0)),r=[e.x*this.worldSize,e.y*this.worldSize,0,1];return t.transformMat4(r,r,this.pixelMatrix)[3]/this.cameraToCenterDistance},Pn.prototype.getCameraPoint=function(){var e=this._pitch,r=Math.tan(e)*(this.cameraToCenterDistance||1);return this.centerPoint.add(new t.Point(0,r))},Pn.prototype.getCameraQueryGeometry=function(e){var r=this.getCameraPoint();if(1===e.length)return[e[0],r];for(var n=r.x,i=r.y,a=r.x,o=r.y,s=0,l=e;s=3&&!t.some((function(t){return isNaN(t)}))){var e=this._map.dragRotate.isEnabled()&&this._map.touchZoomRotate.isEnabled()?+(t[3]||0):this._map.getBearing();return this._map.jumpTo({center:[+t[2],+t[1]],zoom:+t[0],bearing:e,pitch:+(t[4]||0)}),!0}return!1},In.prototype._updateHashUnthrottled=function(){var e=t.window.location.href.replace(/(#.+)?$/,this.getHashString());try{t.window.history.replaceState(t.window.history.state,null,e)}catch(t){}};var Dn={linearity:.3,easing:t.bezier(0,0,.3,1)},zn=t.extend({deceleration:2500,maxSpeed:1400},Dn),Rn=t.extend({deceleration:20,maxSpeed:1400},Dn),Fn=t.extend({deceleration:1e3,maxSpeed:360},Dn),Bn=t.extend({deceleration:1e3,maxSpeed:90},Dn),Nn=function(t){this._map=t,this.clear()};function jn(t,e){(!t.duration||t.duration0&&r-e[0].time>160;)e.shift()},Nn.prototype._onMoveEnd=function(e){if(this._drainInertiaBuffer(),!(this._inertiaBuffer.length<2)){for(var r={zoom:0,bearing:0,pitch:0,pan:new t.Point(0,0),pinchAround:void 0,around:void 0},n=0,i=this._inertiaBuffer;n=this._clickTolerance||this._map.fire(new Vn(t.type,this._map,t))},Gn.prototype.dblclick=function(t){return this._firePreventable(new Vn(t.type,this._map,t))},Gn.prototype.mouseover=function(t){this._map.fire(new Vn(t.type,this._map,t))},Gn.prototype.mouseout=function(t){this._map.fire(new Vn(t.type,this._map,t))},Gn.prototype.touchstart=function(t){return this._firePreventable(new qn(t.type,this._map,t))},Gn.prototype.touchmove=function(t){this._map.fire(new qn(t.type,this._map,t))},Gn.prototype.touchend=function(t){this._map.fire(new qn(t.type,this._map,t))},Gn.prototype.touchcancel=function(t){this._map.fire(new qn(t.type,this._map,t))},Gn.prototype._firePreventable=function(t){if(this._map.fire(t),t.defaultPrevented)return{}},Gn.prototype.isEnabled=function(){return!0},Gn.prototype.isActive=function(){return!1},Gn.prototype.enable=function(){},Gn.prototype.disable=function(){};var Wn=function(t){this._map=t};Wn.prototype.reset=function(){this._delayContextMenu=!1,delete this._contextMenuEvent},Wn.prototype.mousemove=function(t){this._map.fire(new Vn(t.type,this._map,t))},Wn.prototype.mousedown=function(){this._delayContextMenu=!0},Wn.prototype.mouseup=function(){this._delayContextMenu=!1,this._contextMenuEvent&&(this._map.fire(new Vn("contextmenu",this._map,this._contextMenuEvent)),delete this._contextMenuEvent)},Wn.prototype.contextmenu=function(t){this._delayContextMenu?this._contextMenuEvent=t:this._map.fire(new Vn(t.type,this._map,t)),this._map.listens("contextmenu")&&t.preventDefault()},Wn.prototype.isEnabled=function(){return!0},Wn.prototype.isActive=function(){return!1},Wn.prototype.enable=function(){},Wn.prototype.disable=function(){};var Yn=function(t,e){this._map=t,this._el=t.getCanvasContainer(),this._container=t.getContainer(),this._clickTolerance=e.clickTolerance||1};function Xn(t,e){for(var r={},n=0;nthis.numTouches)&&(this.aborted=!0),this.aborted||(void 0===this.startTime&&(this.startTime=e.timeStamp),n.length===this.numTouches&&(this.centroid=function(e){for(var r=new t.Point(0,0),n=0,i=e;n30)&&(this.aborted=!0)}}},Zn.prototype.touchend=function(t,e,r){if((!this.centroid||t.timeStamp-this.startTime>500)&&(this.aborted=!0),0===r.length){var n=!this.aborted&&this.centroid;if(this.reset(),n)return n}};var Kn=function(t){this.singleTap=new Zn(t),this.numTaps=t.numTaps,this.reset()};Kn.prototype.reset=function(){this.lastTime=1/0,delete this.lastTap,this.count=0,this.singleTap.reset()},Kn.prototype.touchstart=function(t,e,r){this.singleTap.touchstart(t,e,r)},Kn.prototype.touchmove=function(t,e,r){this.singleTap.touchmove(t,e,r)},Kn.prototype.touchend=function(t,e,r){var n=this.singleTap.touchend(t,e,r);if(n){var i=t.timeStamp-this.lastTime<500,a=!this.lastTap||this.lastTap.dist(n)<30;if(i&&a||this.reset(),this.count++,this.lastTime=t.timeStamp,this.lastTap=n,this.count===this.numTaps)return this.reset(),n}};var Jn=function(){this._zoomIn=new Kn({numTouches:1,numTaps:2}),this._zoomOut=new Kn({numTouches:2,numTaps:1}),this.reset()};Jn.prototype.reset=function(){this._active=!1,this._zoomIn.reset(),this._zoomOut.reset()},Jn.prototype.touchstart=function(t,e,r){this._zoomIn.touchstart(t,e,r),this._zoomOut.touchstart(t,e,r)},Jn.prototype.touchmove=function(t,e,r){this._zoomIn.touchmove(t,e,r),this._zoomOut.touchmove(t,e,r)},Jn.prototype.touchend=function(t,e,r){var n=this,i=this._zoomIn.touchend(t,e,r),a=this._zoomOut.touchend(t,e,r);return i?(this._active=!0,t.preventDefault(),setTimeout((function(){return n.reset()}),0),{cameraAnimation:function(e){return e.easeTo({duration:300,zoom:e.getZoom()+1,around:e.unproject(i)},{originalEvent:t})}}):a?(this._active=!0,t.preventDefault(),setTimeout((function(){return n.reset()}),0),{cameraAnimation:function(e){return e.easeTo({duration:300,zoom:e.getZoom()-1,around:e.unproject(a)},{originalEvent:t})}}):void 0},Jn.prototype.touchcancel=function(){this.reset()},Jn.prototype.enable=function(){this._enabled=!0},Jn.prototype.disable=function(){this._enabled=!1,this.reset()},Jn.prototype.isEnabled=function(){return this._enabled},Jn.prototype.isActive=function(){return this._active};var $n={};$n[0]=1,$n[2]=2;var Qn=function(t){this.reset(),this._clickTolerance=t.clickTolerance||1};Qn.prototype.reset=function(){this._active=!1,this._moved=!1,delete this._lastPoint,delete this._eventButton},Qn.prototype._correctButton=function(t,e){return!1},Qn.prototype._move=function(t,e){return{}},Qn.prototype.mousedown=function(t,e){if(!this._lastPoint){var n=r.mouseButton(t);this._correctButton(t,n)&&(this._lastPoint=e,this._eventButton=n)}},Qn.prototype.mousemoveWindow=function(t,e){var r=this._lastPoint;if(r)if(t.preventDefault(),function(t,e){var r=$n[e];return void 0===t.buttons||(t.buttons&r)!==r}(t,this._eventButton))this.reset();else if(this._moved||!(e.dist(r)0&&(this._active=!0);var i=Xn(n,r),a=new t.Point(0,0),o=new t.Point(0,0),s=0;for(var l in i){var u=i[l],c=this._touches[l];c&&(a._add(u),o._add(u.sub(c)),s++,i[l]=u)}if(this._touches=i,!(sMath.abs(t.x)}var fi=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.reset=function(){t.prototype.reset.call(this),this._valid=void 0,delete this._firstMove,delete this._lastPoints},e.prototype._start=function(t){this._lastPoints=t,ci(t[0].sub(t[1]))&&(this._valid=!1)},e.prototype._move=function(t,e,r){var n=t[0].sub(this._lastPoints[0]),i=t[1].sub(this._lastPoints[1]);if(this._valid=this.gestureBeginsVertically(n,i,r.timeStamp),this._valid)return this._lastPoints=t,this._active=!0,{pitchDelta:(n.y+i.y)/2*-.5}},e.prototype.gestureBeginsVertically=function(t,e,r){if(void 0!==this._valid)return this._valid;var n=t.mag()>=2,i=e.mag()>=2;if(n||i){if(!n||!i)return void 0===this._firstMove&&(this._firstMove=r),r-this._firstMove<100&&void 0;var a=t.y>0==e.y>0;return ci(t)&&ci(e)&&a}},e}(ii),hi={panStep:100,bearingStep:15,pitchStep:10},pi=function(){var t=hi;this._panStep=t.panStep,this._bearingStep=t.bearingStep,this._pitchStep=t.pitchStep,this._rotationDisabled=!1};function di(t){return t*(2-t)}pi.prototype.reset=function(){this._active=!1},pi.prototype.keydown=function(t){var e=this;if(!(t.altKey||t.ctrlKey||t.metaKey)){var r=0,n=0,i=0,a=0,o=0;switch(t.keyCode){case 61:case 107:case 171:case 187:r=1;break;case 189:case 109:case 173:r=-1;break;case 37:t.shiftKey?n=-1:(t.preventDefault(),a=-1);break;case 39:t.shiftKey?n=1:(t.preventDefault(),a=1);break;case 38:t.shiftKey?i=1:(t.preventDefault(),o=-1);break;case 40:t.shiftKey?i=-1:(t.preventDefault(),o=1);break;default:return}return this._rotationDisabled&&(n=0,i=0),{cameraAnimation:function(s){var l=s.getZoom();s.easeTo({duration:300,easeId:"keyboardHandler",easing:di,zoom:r?Math.round(l)+r*(t.shiftKey?2:1):l,bearing:s.getBearing()+n*e._bearingStep,pitch:s.getPitch()+i*e._pitchStep,offset:[-a*e._panStep,-o*e._panStep],center:s.getCenter()},{originalEvent:t})}}}},pi.prototype.enable=function(){this._enabled=!0},pi.prototype.disable=function(){this._enabled=!1,this.reset()},pi.prototype.isEnabled=function(){return this._enabled},pi.prototype.isActive=function(){return this._active},pi.prototype.disableRotation=function(){this._rotationDisabled=!0},pi.prototype.enableRotation=function(){this._rotationDisabled=!1};var vi=4.000244140625,gi=function(e,r){this._map=e,this._el=e.getCanvasContainer(),this._handler=r,this._delta=0,this._defaultZoomRate=.01,this._wheelZoomRate=.0022222222222222222,t.bindAll(["_onTimeout"],this)};gi.prototype.setZoomRate=function(t){this._defaultZoomRate=t},gi.prototype.setWheelZoomRate=function(t){this._wheelZoomRate=t},gi.prototype.isEnabled=function(){return!!this._enabled},gi.prototype.isActive=function(){return!!this._active||void 0!==this._finishTimeout},gi.prototype.isZooming=function(){return!!this._zooming},gi.prototype.enable=function(t){this.isEnabled()||(this._enabled=!0,this._aroundCenter=t&&"center"===t.around)},gi.prototype.disable=function(){this.isEnabled()&&(this._enabled=!1)},gi.prototype.wheel=function(e){if(this.isEnabled()){var r=e.deltaMode===t.window.WheelEvent.DOM_DELTA_LINE?40*e.deltaY:e.deltaY,n=t.browser.now(),i=n-(this._lastWheelEventTime||0);this._lastWheelEventTime=n,0!==r&&r%vi==0?this._type="wheel":0!==r&&Math.abs(r)<4?this._type="trackpad":i>400?(this._type=null,this._lastValue=r,this._timeout=setTimeout(this._onTimeout,40,e)):this._type||(this._type=Math.abs(i*r)<200?"trackpad":"wheel",this._timeout&&(clearTimeout(this._timeout),this._timeout=null,r+=this._lastValue)),e.shiftKey&&r&&(r/=4),this._type&&(this._lastWheelEvent=e,this._delta-=r,this._active||this._start(e)),e.preventDefault()}},gi.prototype._onTimeout=function(t){this._type="wheel",this._delta-=this._lastValue,this._active||this._start(t)},gi.prototype._start=function(e){if(this._delta){this._frameId&&(this._frameId=null),this._active=!0,this.isZooming()||(this._zooming=!0),this._finishTimeout&&(clearTimeout(this._finishTimeout),delete this._finishTimeout);var n=r.mousePos(this._el,e);this._around=t.LngLat.convert(this._aroundCenter?this._map.getCenter():this._map.unproject(n)),this._aroundPoint=this._map.transform.locationPoint(this._around),this._frameId||(this._frameId=!0,this._handler._triggerRenderFrame())}},gi.prototype.renderFrame=function(){var e=this;if(this._frameId&&(this._frameId=null,this.isActive())){var r=this._map.transform;if(0!==this._delta){var n="wheel"===this._type&&Math.abs(this._delta)>vi?this._wheelZoomRate:this._defaultZoomRate,i=2/(1+Math.exp(-Math.abs(this._delta*n)));this._delta<0&&0!==i&&(i=1/i);var a="number"==typeof this._targetZoom?r.zoomScale(this._targetZoom):r.scale;this._targetZoom=Math.min(r.maxZoom,Math.max(r.minZoom,r.scaleZoom(a*i))),"wheel"===this._type&&(this._startZoom=r.zoom,this._easing=this._smoothOutEasing(200)),this._delta=0}var o,s="number"==typeof this._targetZoom?this._targetZoom:r.zoom,l=this._startZoom,u=this._easing,c=!1;if("wheel"===this._type&&l&&u){var f=Math.min((t.browser.now()-this._lastWheelEventTime)/200,1),h=u(f);o=t.number(l,s,h),f<1?this._frameId||(this._frameId=!0):c=!0}else o=s,c=!0;return this._active=!0,c&&(this._active=!1,this._finishTimeout=setTimeout((function(){e._zooming=!1,e._handler._triggerRenderFrame(),delete e._targetZoom,delete e._finishTimeout}),200)),{noInertia:!0,needsRenderFrame:!c,zoomDelta:o-r.zoom,around:this._aroundPoint,originalEvent:this._lastWheelEvent}}},gi.prototype._smoothOutEasing=function(e){var r=t.ease;if(this._prevEase){var n=this._prevEase,i=(t.browser.now()-n.start)/n.duration,a=n.easing(i+.01)-n.easing(i),o=.27/Math.sqrt(a*a+1e-4)*.01,s=Math.sqrt(.0729-o*o);r=t.bezier(o,s,.25,1)}return this._prevEase={start:t.browser.now(),duration:e,easing:r},r},gi.prototype.reset=function(){this._active=!1};var yi=function(t,e){this._clickZoom=t,this._tapZoom=e};yi.prototype.enable=function(){this._clickZoom.enable(),this._tapZoom.enable()},yi.prototype.disable=function(){this._clickZoom.disable(),this._tapZoom.disable()},yi.prototype.isEnabled=function(){return this._clickZoom.isEnabled()&&this._tapZoom.isEnabled()},yi.prototype.isActive=function(){return this._clickZoom.isActive()||this._tapZoom.isActive()};var mi=function(){this.reset()};mi.prototype.reset=function(){this._active=!1},mi.prototype.dblclick=function(t,e){return t.preventDefault(),{cameraAnimation:function(r){r.easeTo({duration:300,zoom:r.getZoom()+(t.shiftKey?-1:1),around:r.unproject(e)},{originalEvent:t})}}},mi.prototype.enable=function(){this._enabled=!0},mi.prototype.disable=function(){this._enabled=!1,this.reset()},mi.prototype.isEnabled=function(){return this._enabled},mi.prototype.isActive=function(){return this._active};var xi=function(){this._tap=new Kn({numTouches:1,numTaps:1}),this.reset()};xi.prototype.reset=function(){this._active=!1,delete this._swipePoint,delete this._swipeTouch,delete this._tapTime,this._tap.reset()},xi.prototype.touchstart=function(t,e,r){this._swipePoint||(this._tapTime&&t.timeStamp-this._tapTime>500&&this.reset(),this._tapTime?r.length>0&&(this._swipePoint=e[0],this._swipeTouch=r[0].identifier):this._tap.touchstart(t,e,r))},xi.prototype.touchmove=function(t,e,r){if(this._tapTime){if(this._swipePoint){if(r[0].identifier!==this._swipeTouch)return;var n=e[0],i=n.y-this._swipePoint.y;return this._swipePoint=n,t.preventDefault(),this._active=!0,{zoomDelta:i/128}}}else this._tap.touchmove(t,e,r)},xi.prototype.touchend=function(t,e,r){this._tapTime?this._swipePoint&&0===r.length&&this.reset():this._tap.touchend(t,e,r)&&(this._tapTime=t.timeStamp)},xi.prototype.touchcancel=function(){this.reset()},xi.prototype.enable=function(){this._enabled=!0},xi.prototype.disable=function(){this._enabled=!1,this.reset()},xi.prototype.isEnabled=function(){return this._enabled},xi.prototype.isActive=function(){return this._active};var bi=function(t,e,r){this._el=t,this._mousePan=e,this._touchPan=r};bi.prototype.enable=function(t){this._inertiaOptions=t||{},this._mousePan.enable(),this._touchPan.enable(),this._el.classList.add("mapboxgl-touch-drag-pan")},bi.prototype.disable=function(){this._mousePan.disable(),this._touchPan.disable(),this._el.classList.remove("mapboxgl-touch-drag-pan")},bi.prototype.isEnabled=function(){return this._mousePan.isEnabled()&&this._touchPan.isEnabled()},bi.prototype.isActive=function(){return this._mousePan.isActive()||this._touchPan.isActive()};var _i=function(t,e,r){this._pitchWithRotate=t.pitchWithRotate,this._mouseRotate=e,this._mousePitch=r};_i.prototype.enable=function(){this._mouseRotate.enable(),this._pitchWithRotate&&this._mousePitch.enable()},_i.prototype.disable=function(){this._mouseRotate.disable(),this._mousePitch.disable()},_i.prototype.isEnabled=function(){return this._mouseRotate.isEnabled()&&(!this._pitchWithRotate||this._mousePitch.isEnabled())},_i.prototype.isActive=function(){return this._mouseRotate.isActive()||this._mousePitch.isActive()};var wi=function(t,e,r,n){this._el=t,this._touchZoom=e,this._touchRotate=r,this._tapDragZoom=n,this._rotationDisabled=!1,this._enabled=!0};wi.prototype.enable=function(t){this._touchZoom.enable(t),this._rotationDisabled||this._touchRotate.enable(t),this._tapDragZoom.enable(),this._el.classList.add("mapboxgl-touch-zoom-rotate")},wi.prototype.disable=function(){this._touchZoom.disable(),this._touchRotate.disable(),this._tapDragZoom.disable(),this._el.classList.remove("mapboxgl-touch-zoom-rotate")},wi.prototype.isEnabled=function(){return this._touchZoom.isEnabled()&&(this._rotationDisabled||this._touchRotate.isEnabled())&&this._tapDragZoom.isEnabled()},wi.prototype.isActive=function(){return this._touchZoom.isActive()||this._touchRotate.isActive()||this._tapDragZoom.isActive()},wi.prototype.disableRotation=function(){this._rotationDisabled=!0,this._touchRotate.disable()},wi.prototype.enableRotation=function(){this._rotationDisabled=!1,this._touchZoom.isEnabled()&&this._touchRotate.enable()};var Ti=function(t){return t.zoom||t.drag||t.pitch||t.rotate},ki=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e}(t.Event);function Ai(t){return t.panDelta&&t.panDelta.mag()||t.zoomDelta||t.bearingDelta||t.pitchDelta}var Mi=function(e,n){this._map=e,this._el=this._map.getCanvasContainer(),this._handlers=[],this._handlersById={},this._changes=[],this._inertia=new Nn(e),this._bearingSnap=n.bearingSnap,this._previousActiveHandlers={},this._eventsInProgress={},this._addDefaultHandlers(n),t.bindAll(["handleEvent","handleWindowEvent"],this);var i=this._el;this._listeners=[[i,"touchstart",{passive:!0}],[i,"touchmove",{passive:!1}],[i,"touchend",void 0],[i,"touchcancel",void 0],[i,"mousedown",void 0],[i,"mousemove",void 0],[i,"mouseup",void 0],[t.window.document,"mousemove",{capture:!0}],[t.window.document,"mouseup",void 0],[i,"mouseover",void 0],[i,"mouseout",void 0],[i,"dblclick",void 0],[i,"click",void 0],[i,"keydown",{capture:!1}],[i,"keyup",void 0],[i,"wheel",{passive:!1}],[i,"contextmenu",void 0],[t.window,"blur",void 0]];for(var a=0,o=this._listeners;aa?Math.min(2,_):Math.max(.5,_),w=Math.pow(g,1-e),T=i.unproject(x.add(b.mult(e*w)).mult(v));i.setLocationAtPoint(i.renderWorldCopies?T.wrap():T,d)}n._fireMoveEvents(r)}),(function(t){n._afterEase(r,t)}),e),this},r.prototype._prepareEase=function(e,r,n){void 0===n&&(n={}),this._moving=!0,r||n.moving||this.fire(new t.Event("movestart",e)),this._zooming&&!n.zooming&&this.fire(new t.Event("zoomstart",e)),this._rotating&&!n.rotating&&this.fire(new t.Event("rotatestart",e)),this._pitching&&!n.pitching&&this.fire(new t.Event("pitchstart",e))},r.prototype._fireMoveEvents=function(e){this.fire(new t.Event("move",e)),this._zooming&&this.fire(new t.Event("zoom",e)),this._rotating&&this.fire(new t.Event("rotate",e)),this._pitching&&this.fire(new t.Event("pitch",e))},r.prototype._afterEase=function(e,r){if(!this._easeId||!r||this._easeId!==r){delete this._easeId;var n=this._zooming,i=this._rotating,a=this._pitching;this._moving=!1,this._zooming=!1,this._rotating=!1,this._pitching=!1,this._padding=!1,n&&this.fire(new t.Event("zoomend",e)),i&&this.fire(new t.Event("rotateend",e)),a&&this.fire(new t.Event("pitchend",e)),this.fire(new t.Event("moveend",e))}},r.prototype.flyTo=function(e,r){var n=this;if(!e.essential&&t.browser.prefersReducedMotion){var i=t.pick(e,["center","zoom","bearing","pitch","around"]);return this.jumpTo(i,r)}this.stop(),e=t.extend({offset:[0,0],speed:1.2,curve:1.42,easing:t.ease},e);var a=this.transform,o=this.getZoom(),s=this.getBearing(),l=this.getPitch(),u=this.getPadding(),c="zoom"in e?t.clamp(+e.zoom,a.minZoom,a.maxZoom):o,f="bearing"in e?this._normalizeBearing(e.bearing,s):s,h="pitch"in e?+e.pitch:l,p="padding"in e?e.padding:a.padding,d=a.zoomScale(c-o),v=t.Point.convert(e.offset),g=a.centerPoint.add(v),y=a.pointLocation(g),m=t.LngLat.convert(e.center||y);this._normalizeCenter(m);var x=a.project(y),b=a.project(m).sub(x),_=e.curve,w=Math.max(a.width,a.height),T=w/d,k=b.mag();if("minZoom"in e){var A=t.clamp(Math.min(e.minZoom,o,c),a.minZoom,a.maxZoom),M=w/a.zoomScale(A-o);_=Math.sqrt(M/k*2)}var S=_*_;function E(t){var e=(T*T-w*w+(t?-1:1)*S*S*k*k)/(2*(t?T:w)*S*k);return Math.log(Math.sqrt(e*e+1)-e)}function L(t){return(Math.exp(t)-Math.exp(-t))/2}function C(t){return(Math.exp(t)+Math.exp(-t))/2}var P=E(0),O=function(t){return C(P)/C(P+_*t)},I=function(t){return w*((C(P)*(L(e=P+_*t)/C(e))-L(P))/S)/k;var e},D=(E(1)-P)/_;if(Math.abs(k)<1e-6||!isFinite(D)){if(Math.abs(w-T)<1e-6)return this.easeTo(e,r);var z=Te.maxDuration&&(e.duration=0),this._zooming=!0,this._rotating=s!==f,this._pitching=h!==l,this._padding=!a.isPaddingEqual(p),this._prepareEase(r,!1),this._ease((function(e){var i=e*D,d=1/O(i);a.zoom=1===e?c:o+a.scaleZoom(d),n._rotating&&(a.bearing=t.number(s,f,e)),n._pitching&&(a.pitch=t.number(l,h,e)),n._padding&&(a.interpolatePadding(u,p,e),g=a.centerPoint.add(v));var y=1===e?m:a.unproject(x.add(b.mult(I(i))).mult(d));a.setLocationAtPoint(a.renderWorldCopies?y.wrap():y,g),n._fireMoveEvents(r)}),(function(){return n._afterEase(r)}),e),this},r.prototype.isEasing=function(){return!!this._easeFrameId},r.prototype.stop=function(){return this._stop()},r.prototype._stop=function(t,e){if(this._easeFrameId&&(this._cancelRenderFrame(this._easeFrameId),delete this._easeFrameId,delete this._onEaseFrame),this._onEaseEnd){var r=this._onEaseEnd;delete this._onEaseEnd,r.call(this,e)}if(!t){var n=this.handlers;n&&n.stop(!1)}return this},r.prototype._ease=function(e,r,n){!1===n.animate||0===n.duration?(e(1),r()):(this._easeStart=t.browser.now(),this._easeOptions=n,this._onEaseFrame=e,this._onEaseEnd=r,this._easeFrameId=this._requestRenderFrame(this._renderFrameCallback))},r.prototype._renderFrameCallback=function(){var e=Math.min((t.browser.now()-this._easeStart)/this._easeOptions.duration,1);this._onEaseFrame(this._easeOptions.easing(e)),e<1?this._easeFrameId=this._requestRenderFrame(this._renderFrameCallback):this.stop()},r.prototype._normalizeBearing=function(e,r){e=t.wrap(e,-180,180);var n=Math.abs(e-r);return Math.abs(e-360-r)180?-360:r<-180?360:0}},r}(t.Evented),Ei=function(e){void 0===e&&(e={}),this.options=e,t.bindAll(["_toggleAttribution","_updateEditLink","_updateData","_updateCompact"],this)};Ei.prototype.getDefaultPosition=function(){return"bottom-right"},Ei.prototype.onAdd=function(t){var e=this.options&&this.options.compact;return this._map=t,this._container=r.create("div","mapboxgl-ctrl mapboxgl-ctrl-attrib"),this._compactButton=r.create("button","mapboxgl-ctrl-attrib-button",this._container),this._compactButton.addEventListener("click",this._toggleAttribution),this._setElementTitle(this._compactButton,"ToggleAttribution"),this._innerContainer=r.create("div","mapboxgl-ctrl-attrib-inner",this._container),this._innerContainer.setAttribute("role","list"),e&&this._container.classList.add("mapboxgl-compact"),this._updateAttributions(),this._updateEditLink(),this._map.on("styledata",this._updateData),this._map.on("sourcedata",this._updateData),this._map.on("moveend",this._updateEditLink),void 0===e&&(this._map.on("resize",this._updateCompact),this._updateCompact()),this._container},Ei.prototype.onRemove=function(){r.remove(this._container),this._map.off("styledata",this._updateData),this._map.off("sourcedata",this._updateData),this._map.off("moveend",this._updateEditLink),this._map.off("resize",this._updateCompact),this._map=void 0,this._attribHTML=void 0},Ei.prototype._setElementTitle=function(t,e){var r=this._map._getUIString("AttributionControl."+e);t.title=r,t.setAttribute("aria-label",r)},Ei.prototype._toggleAttribution=function(){this._container.classList.contains("mapboxgl-compact-show")?(this._container.classList.remove("mapboxgl-compact-show"),this._compactButton.setAttribute("aria-pressed","false")):(this._container.classList.add("mapboxgl-compact-show"),this._compactButton.setAttribute("aria-pressed","true"))},Ei.prototype._updateEditLink=function(){var e=this._editLink;e||(e=this._editLink=this._container.querySelector(".mapbox-improve-map"));var r=[{key:"owner",value:this.styleOwner},{key:"id",value:this.styleId},{key:"access_token",value:this._map._requestManager._customAccessToken||t.config.ACCESS_TOKEN}];if(e){var n=r.reduce((function(t,e,n){return e.value&&(t+=e.key+"="+e.value+(n=0)return!1;return!0}))).join(" | ");o!==this._attribHTML&&(this._attribHTML=o,t.length?(this._innerContainer.innerHTML=o,this._container.classList.remove("mapboxgl-attrib-empty")):this._container.classList.add("mapboxgl-attrib-empty"),this._editLink=null)}},Ei.prototype._updateCompact=function(){this._map.getCanvasContainer().offsetWidth<=640?this._container.classList.add("mapboxgl-compact"):this._container.classList.remove("mapboxgl-compact","mapboxgl-compact-show")};var Li=function(){t.bindAll(["_updateLogo"],this),t.bindAll(["_updateCompact"],this)};Li.prototype.onAdd=function(t){this._map=t,this._container=r.create("div","mapboxgl-ctrl");var e=r.create("a","mapboxgl-ctrl-logo");return e.target="_blank",e.rel="noopener nofollow",e.href="https://www.mapbox.com/",e.setAttribute("aria-label",this._map._getUIString("LogoControl.Title")),e.setAttribute("rel","noopener nofollow"),this._container.appendChild(e),this._container.style.display="none",this._map.on("sourcedata",this._updateLogo),this._updateLogo(),this._map.on("resize",this._updateCompact),this._updateCompact(),this._container},Li.prototype.onRemove=function(){r.remove(this._container),this._map.off("sourcedata",this._updateLogo),this._map.off("resize",this._updateCompact)},Li.prototype.getDefaultPosition=function(){return"bottom-left"},Li.prototype._updateLogo=function(t){t&&"metadata"!==t.sourceDataType||(this._container.style.display=this._logoRequired()?"block":"none")},Li.prototype._logoRequired=function(){if(this._map.style){var t=this._map.style.sourceCaches;for(var e in t)if(t[e].getSource().mapbox_logo)return!0;return!1}},Li.prototype._updateCompact=function(){var t=this._container.children;if(t.length){var e=t[0];this._map.getCanvasContainer().offsetWidth<250?e.classList.add("mapboxgl-compact"):e.classList.remove("mapboxgl-compact")}};var Ci=function(){this._queue=[],this._id=0,this._cleared=!1,this._currentlyRunning=!1};Ci.prototype.add=function(t){var e=++this._id;return this._queue.push({callback:t,id:e,cancelled:!1}),e},Ci.prototype.remove=function(t){for(var e=this._currentlyRunning,r=0,n=e?this._queue.concat(e):this._queue;re.maxZoom)throw new Error("maxZoom must be greater than or equal to minZoom");if(null!=e.minPitch&&null!=e.maxPitch&&e.minPitch>e.maxPitch)throw new Error("maxPitch must be greater than or equal to minPitch");if(null!=e.minPitch&&e.minPitch<0)throw new Error("minPitch must be greater than or equal to 0");if(null!=e.maxPitch&&e.maxPitch>zi)throw new Error("maxPitch must be less than or equal to 60");var i=new Pn(e.minZoom,e.maxZoom,e.minPitch,e.maxPitch,e.renderWorldCopies);if(n.call(this,i,e),this._interactive=e.interactive,this._maxTileCacheSize=e.maxTileCacheSize,this._failIfMajorPerformanceCaveat=e.failIfMajorPerformanceCaveat,this._preserveDrawingBuffer=e.preserveDrawingBuffer,this._antialias=e.antialias,this._trackResize=e.trackResize,this._bearingSnap=e.bearingSnap,this._refreshExpiredTiles=e.refreshExpiredTiles,this._fadeDuration=e.fadeDuration,this._crossSourceCollisions=e.crossSourceCollisions,this._crossFadingFactor=1,this._collectResourceTiming=e.collectResourceTiming,this._renderTaskQueue=new Ci,this._controls=[],this._mapId=t.uniqueId(),this._locale=t.extend({},Pi,e.locale),this._clickTolerance=e.clickTolerance,this._requestManager=new t.RequestManager(e.transformRequest,e.accessToken),"string"==typeof e.container){if(this._container=t.window.document.getElementById(e.container),!this._container)throw new Error("Container '"+e.container+"' not found.")}else{if(!(e.container instanceof Ii))throw new Error("Invalid type: 'container' must be a String or HTMLElement.");this._container=e.container}if(e.maxBounds&&this.setMaxBounds(e.maxBounds),t.bindAll(["_onWindowOnline","_onWindowResize","_onMapScroll","_contextLost","_contextRestored"],this),this._setupContainer(),this._setupPainter(),void 0===this.painter)throw new Error("Failed to initialize WebGL.");this.on("move",(function(){return r._update(!1)})),this.on("moveend",(function(){return r._update(!1)})),this.on("zoom",(function(){return r._update(!0)})),void 0!==t.window&&(t.window.addEventListener("online",this._onWindowOnline,!1),t.window.addEventListener("resize",this._onWindowResize,!1),t.window.addEventListener("orientationchange",this._onWindowResize,!1)),this.handlers=new Mi(this,e);var a="string"==typeof e.hash&&e.hash||void 0;this._hash=e.hash&&new In(a).addTo(this),this._hash&&this._hash._onHashChange()||(this.jumpTo({center:e.center,zoom:e.zoom,bearing:e.bearing,pitch:e.pitch}),e.bounds&&(this.resize(),this.fitBounds(e.bounds,t.extend({},e.fitBoundsOptions,{duration:0})))),this.resize(),this._localIdeographFontFamily=e.localIdeographFontFamily,e.style&&this.setStyle(e.style,{localIdeographFontFamily:e.localIdeographFontFamily}),e.attributionControl&&this.addControl(new Ei({customAttribution:e.customAttribution})),this.addControl(new Li,e.logoPosition),this.on("style.load",(function(){r.transform.unmodified&&r.jumpTo(r.style.stylesheet)})),this.on("data",(function(e){r._update("style"===e.dataType),r.fire(new t.Event(e.dataType+"data",e))})),this.on("dataloading",(function(e){r.fire(new t.Event(e.dataType+"dataloading",e))}))}n&&(i.__proto__=n),i.prototype=Object.create(n&&n.prototype),i.prototype.constructor=i;var a={showTileBoundaries:{configurable:!0},showPadding:{configurable:!0},showCollisionBoxes:{configurable:!0},showOverdrawInspector:{configurable:!0},repaint:{configurable:!0},vertices:{configurable:!0},version:{configurable:!0}};return i.prototype._getMapId=function(){return this._mapId},i.prototype.addControl=function(e,r){if(void 0===r&&(r=e.getDefaultPosition?e.getDefaultPosition():"top-right"),!e||!e.onAdd)return this.fire(new t.ErrorEvent(new Error("Invalid argument to map.addControl(). Argument must be a control with onAdd and onRemove methods.")));var n=e.onAdd(this);this._controls.push(e);var i=this._controlPositions[r];return-1!==r.indexOf("bottom")?i.insertBefore(n,i.firstChild):i.appendChild(n),this},i.prototype.removeControl=function(e){if(!e||!e.onRemove)return this.fire(new t.ErrorEvent(new Error("Invalid argument to map.removeControl(). Argument must be a control with onAdd and onRemove methods.")));var r=this._controls.indexOf(e);return r>-1&&this._controls.splice(r,1),e.onRemove(this),this},i.prototype.hasControl=function(t){return this._controls.indexOf(t)>-1},i.prototype.resize=function(e){var r=this._containerDimensions(),n=r[0],i=r[1];this._resizeCanvas(n,i),this.transform.resize(n,i),this.painter.resize(n,i);var a=!this._moving;return a&&(this.stop(),this.fire(new t.Event("movestart",e)).fire(new t.Event("move",e))),this.fire(new t.Event("resize",e)),a&&this.fire(new t.Event("moveend",e)),this},i.prototype.getBounds=function(){return this.transform.getBounds()},i.prototype.getMaxBounds=function(){return this.transform.getMaxBounds()},i.prototype.setMaxBounds=function(e){return this.transform.setMaxBounds(t.LngLatBounds.convert(e)),this._update()},i.prototype.setMinZoom=function(t){if((t=null==t?-2:t)>=-2&&t<=this.transform.maxZoom)return this.transform.minZoom=t,this._update(),this.getZoom()=this.transform.minZoom)return this.transform.maxZoom=t,this._update(),this.getZoom()>t&&this.setZoom(t),this;throw new Error("maxZoom must be greater than the current minZoom")},i.prototype.getMaxZoom=function(){return this.transform.maxZoom},i.prototype.setMinPitch=function(t){if((t=null==t?0:t)<0)throw new Error("minPitch must be greater than or equal to 0");if(t>=0&&t<=this.transform.maxPitch)return this.transform.minPitch=t,this._update(),this.getPitch()zi)throw new Error("maxPitch must be less than or equal to 60");if(t>=this.transform.minPitch)return this.transform.maxPitch=t,this._update(),this.getPitch()>t&&this.setPitch(t),this;throw new Error("maxPitch must be greater than the current minPitch")},i.prototype.getMaxPitch=function(){return this.transform.maxPitch},i.prototype.getRenderWorldCopies=function(){return this.transform.renderWorldCopies},i.prototype.setRenderWorldCopies=function(t){return this.transform.renderWorldCopies=t,this._update()},i.prototype.project=function(e){return this.transform.locationPoint(t.LngLat.convert(e))},i.prototype.unproject=function(e){return this.transform.pointLocation(t.Point.convert(e))},i.prototype.isMoving=function(){return this._moving||this.handlers.isMoving()},i.prototype.isZooming=function(){return this._zooming||this.handlers.isZooming()},i.prototype.isRotating=function(){return this._rotating||this.handlers.isRotating()},i.prototype._createDelegatedListener=function(t,e,r){var n,i=this;if("mouseenter"===t||"mouseover"===t){var a=!1;return{layer:e,listener:r,delegates:{mousemove:function(n){var o=i.getLayer(e)?i.queryRenderedFeatures(n.point,{layers:[e]}):[];o.length?a||(a=!0,r.call(i,new Vn(t,i,n.originalEvent,{features:o}))):a=!1},mouseout:function(){a=!1}}}}if("mouseleave"===t||"mouseout"===t){var o=!1;return{layer:e,listener:r,delegates:{mousemove:function(n){(i.getLayer(e)?i.queryRenderedFeatures(n.point,{layers:[e]}):[]).length?o=!0:o&&(o=!1,r.call(i,new Vn(t,i,n.originalEvent)))},mouseout:function(e){o&&(o=!1,r.call(i,new Vn(t,i,e.originalEvent)))}}}}return{layer:e,listener:r,delegates:(n={},n[t]=function(t){var n=i.getLayer(e)?i.queryRenderedFeatures(t.point,{layers:[e]}):[];n.length&&(t.features=n,r.call(i,t),delete t.features)},n)}},i.prototype.on=function(t,e,r){if(void 0===r)return n.prototype.on.call(this,t,e);var i=this._createDelegatedListener(t,e,r);for(var a in this._delegatedListeners=this._delegatedListeners||{},this._delegatedListeners[t]=this._delegatedListeners[t]||[],this._delegatedListeners[t].push(i),i.delegates)this.on(a,i.delegates[a]);return this},i.prototype.once=function(t,e,r){if(void 0===r)return n.prototype.once.call(this,t,e);var i=this._createDelegatedListener(t,e,r);for(var a in i.delegates)this.once(a,i.delegates[a]);return this},i.prototype.off=function(t,e,r){var i=this;if(void 0===r)return n.prototype.off.call(this,t,e);return this._delegatedListeners&&this._delegatedListeners[t]&&function(n){for(var a=n[t],o=0;o180;){var s=n.locationPoint(e);if(s.x>=0&&s.y>=0&&s.x<=n.width&&s.y<=n.height)break;e.lng>n.center.lng?e.lng-=360:e.lng+=360}return e}Ui.prototype.down=function(t,e){this.mouseRotate.mousedown(t,e),this.mousePitch&&this.mousePitch.mousedown(t,e),r.disableDrag()},Ui.prototype.move=function(t,e){var r=this.map,n=this.mouseRotate.mousemoveWindow(t,e);if(n&&n.bearingDelta&&r.setBearing(r.getBearing()+n.bearingDelta),this.mousePitch){var i=this.mousePitch.mousemoveWindow(t,e);i&&i.pitchDelta&&r.setPitch(r.getPitch()+i.pitchDelta)}},Ui.prototype.off=function(){var t=this.element;r.removeEventListener(t,"mousedown",this.mousedown),r.removeEventListener(t,"touchstart",this.touchstart,{passive:!1}),r.removeEventListener(t,"touchmove",this.touchmove),r.removeEventListener(t,"touchend",this.touchend),r.removeEventListener(t,"touchcancel",this.reset),this.offTemp()},Ui.prototype.offTemp=function(){r.enableDrag(),r.removeEventListener(t.window,"mousemove",this.mousemove),r.removeEventListener(t.window,"mouseup",this.mouseup)},Ui.prototype.mousedown=function(e){this.down(t.extend({},e,{ctrlKey:!0,preventDefault:function(){return e.preventDefault()}}),r.mousePos(this.element,e)),r.addEventListener(t.window,"mousemove",this.mousemove),r.addEventListener(t.window,"mouseup",this.mouseup)},Ui.prototype.mousemove=function(t){this.move(t,r.mousePos(this.element,t))},Ui.prototype.mouseup=function(t){this.mouseRotate.mouseupWindow(t),this.mousePitch&&this.mousePitch.mouseupWindow(t),this.offTemp()},Ui.prototype.touchstart=function(t){1!==t.targetTouches.length?this.reset():(this._startPos=this._lastPos=r.touchPos(this.element,t.targetTouches)[0],this.down({type:"mousedown",button:0,ctrlKey:!0,preventDefault:function(){return t.preventDefault()}},this._startPos))},Ui.prototype.touchmove=function(t){1!==t.targetTouches.length?this.reset():(this._lastPos=r.touchPos(this.element,t.targetTouches)[0],this.move({preventDefault:function(){return t.preventDefault()}},this._lastPos))},Ui.prototype.touchend=function(t){0===t.targetTouches.length&&this._startPos&&this._lastPos&&this._startPos.dist(this._lastPos)=r}this._isDragging&&(this._pos=e.point.sub(this._positionDelta),this._lngLat=this._map.unproject(this._pos),this.setLngLat(this._lngLat),this._element.style.pointerEvents="none","pending"===this._state&&(this._state="active",this.fire(new t.Event("dragstart"))),this.fire(new t.Event("drag")))},n.prototype._onUp=function(){this._element.style.pointerEvents="auto",this._positionDelta=null,this._pointerdownPos=null,this._isDragging=!1,this._map.off("mousemove",this._onMove),this._map.off("touchmove",this._onMove),"active"===this._state&&this.fire(new t.Event("dragend")),this._state="inactive"},n.prototype._addDragHandler=function(t){this._element.contains(t.originalEvent.target)&&(t.preventDefault(),this._positionDelta=t.point.sub(this._pos).add(this._offset),this._pointerdownPos=t.point,this._state="pending",this._map.on("mousemove",this._onMove),this._map.on("touchmove",this._onMove),this._map.once("mouseup",this._onUp),this._map.once("touchend",this._onUp))},n.prototype.setDraggable=function(t){return this._draggable=!!t,this._map&&(t?(this._map.on("mousedown",this._addDragHandler),this._map.on("touchstart",this._addDragHandler)):(this._map.off("mousedown",this._addDragHandler),this._map.off("touchstart",this._addDragHandler))),this},n.prototype.isDraggable=function(){return this._draggable},n.prototype.setRotation=function(t){return this._rotation=t||0,this._update(),this},n.prototype.getRotation=function(){return this._rotation},n.prototype.setRotationAlignment=function(t){return this._rotationAlignment=t||"auto",this._update(),this},n.prototype.getRotationAlignment=function(){return this._rotationAlignment},n.prototype.setPitchAlignment=function(t){return this._pitchAlignment=t&&"auto"!==t?t:this._rotationAlignment,this._update(),this},n.prototype.getPitchAlignment=function(){return this._pitchAlignment},n}(t.Evented),Yi={positionOptions:{enableHighAccuracy:!1,maximumAge:0,timeout:6e3},fitBoundsOptions:{maxZoom:15},trackUserLocation:!1,showAccuracyCircle:!0,showUserLocation:!0};var Xi=0,Zi=!1,Ki=function(e){function n(r){e.call(this),this.options=t.extend({},Yi,r),t.bindAll(["_onSuccess","_onError","_onZoom","_finish","_setupUI","_updateCamera","_updateMarker"],this)}return e&&(n.__proto__=e),n.prototype=Object.create(e&&e.prototype),n.prototype.constructor=n,n.prototype.onAdd=function(e){return this._map=e,this._container=r.create("div","mapboxgl-ctrl mapboxgl-ctrl-group"),n=this._setupUI,void 0!==Gi?n(Gi):void 0!==t.window.navigator.permissions?t.window.navigator.permissions.query({name:"geolocation"}).then((function(t){Gi="denied"!==t.state,n(Gi)})):(Gi=!!t.window.navigator.geolocation,n(Gi)),this._container;var n},n.prototype.onRemove=function(){void 0!==this._geolocationWatchID&&(t.window.navigator.geolocation.clearWatch(this._geolocationWatchID),this._geolocationWatchID=void 0),this.options.showUserLocation&&this._userLocationDotMarker&&this._userLocationDotMarker.remove(),this.options.showAccuracyCircle&&this._accuracyCircleMarker&&this._accuracyCircleMarker.remove(),r.remove(this._container),this._map.off("zoom",this._onZoom),this._map=void 0,Xi=0,Zi=!1},n.prototype._isOutOfMapMaxBounds=function(t){var e=this._map.getMaxBounds(),r=t.coords;return e&&(r.longitudee.getEast()||r.latitudee.getNorth())},n.prototype._setErrorState=function(){switch(this._watchState){case"WAITING_ACTIVE":this._watchState="ACTIVE_ERROR",this._geolocateButton.classList.remove("mapboxgl-ctrl-geolocate-active"),this._geolocateButton.classList.add("mapboxgl-ctrl-geolocate-active-error");break;case"ACTIVE_LOCK":this._watchState="ACTIVE_ERROR",this._geolocateButton.classList.remove("mapboxgl-ctrl-geolocate-active"),this._geolocateButton.classList.add("mapboxgl-ctrl-geolocate-active-error"),this._geolocateButton.classList.add("mapboxgl-ctrl-geolocate-waiting");break;case"BACKGROUND":this._watchState="BACKGROUND_ERROR",this._geolocateButton.classList.remove("mapboxgl-ctrl-geolocate-background"),this._geolocateButton.classList.add("mapboxgl-ctrl-geolocate-background-error"),this._geolocateButton.classList.add("mapboxgl-ctrl-geolocate-waiting")}},n.prototype._onSuccess=function(e){if(this._map){if(this._isOutOfMapMaxBounds(e))return this._setErrorState(),this.fire(new t.Event("outofmaxbounds",e)),this._updateMarker(),void this._finish();if(this.options.trackUserLocation)switch(this._lastKnownPosition=e,this._watchState){case"WAITING_ACTIVE":case"ACTIVE_LOCK":case"ACTIVE_ERROR":this._watchState="ACTIVE_LOCK",this._geolocateButton.classList.remove("mapboxgl-ctrl-geolocate-waiting"),this._geolocateButton.classList.remove("mapboxgl-ctrl-geolocate-active-error"),this._geolocateButton.classList.add("mapboxgl-ctrl-geolocate-active");break;case"BACKGROUND":case"BACKGROUND_ERROR":this._watchState="BACKGROUND",this._geolocateButton.classList.remove("mapboxgl-ctrl-geolocate-waiting"),this._geolocateButton.classList.remove("mapboxgl-ctrl-geolocate-background-error"),this._geolocateButton.classList.add("mapboxgl-ctrl-geolocate-background")}this.options.showUserLocation&&"OFF"!==this._watchState&&this._updateMarker(e),this.options.trackUserLocation&&"ACTIVE_LOCK"!==this._watchState||this._updateCamera(e),this.options.showUserLocation&&this._dotElement.classList.remove("mapboxgl-user-location-dot-stale"),this.fire(new t.Event("geolocate",e)),this._finish()}},n.prototype._updateCamera=function(e){var r=new t.LngLat(e.coords.longitude,e.coords.latitude),n=e.coords.accuracy,i=this._map.getBearing(),a=t.extend({bearing:i},this.options.fitBoundsOptions);this._map.fitBounds(r.toBounds(n),a,{geolocateSource:!0})},n.prototype._updateMarker=function(e){if(e){var r=new t.LngLat(e.coords.longitude,e.coords.latitude);this._accuracyCircleMarker.setLngLat(r).addTo(this._map),this._userLocationDotMarker.setLngLat(r).addTo(this._map),this._accuracy=e.coords.accuracy,this.options.showUserLocation&&this.options.showAccuracyCircle&&this._updateCircleRadius()}else this._userLocationDotMarker.remove(),this._accuracyCircleMarker.remove()},n.prototype._updateCircleRadius=function(){var t=this._map._container.clientHeight/2,e=this._map.unproject([0,t]),r=this._map.unproject([1,t]),n=e.distanceTo(r),i=Math.ceil(2*this._accuracy/n);this._circleElement.style.width=i+"px",this._circleElement.style.height=i+"px"},n.prototype._onZoom=function(){this.options.showUserLocation&&this.options.showAccuracyCircle&&this._updateCircleRadius()},n.prototype._onError=function(e){if(this._map){if(this.options.trackUserLocation)if(1===e.code){this._watchState="OFF",this._geolocateButton.classList.remove("mapboxgl-ctrl-geolocate-waiting"),this._geolocateButton.classList.remove("mapboxgl-ctrl-geolocate-active"),this._geolocateButton.classList.remove("mapboxgl-ctrl-geolocate-active-error"),this._geolocateButton.classList.remove("mapboxgl-ctrl-geolocate-background"),this._geolocateButton.classList.remove("mapboxgl-ctrl-geolocate-background-error"),this._geolocateButton.disabled=!0;var r=this._map._getUIString("GeolocateControl.LocationNotAvailable");this._geolocateButton.title=r,this._geolocateButton.setAttribute("aria-label",r),void 0!==this._geolocationWatchID&&this._clearWatch()}else{if(3===e.code&&Zi)return;this._setErrorState()}"OFF"!==this._watchState&&this.options.showUserLocation&&this._dotElement.classList.add("mapboxgl-user-location-dot-stale"),this.fire(new t.Event("error",e)),this._finish()}},n.prototype._finish=function(){this._timeoutId&&clearTimeout(this._timeoutId),this._timeoutId=void 0},n.prototype._setupUI=function(e){var n=this;if(this._container.addEventListener("contextmenu",(function(t){return t.preventDefault()})),this._geolocateButton=r.create("button","mapboxgl-ctrl-geolocate",this._container),r.create("span","mapboxgl-ctrl-icon",this._geolocateButton).setAttribute("aria-hidden",!0),this._geolocateButton.type="button",!1===e){t.warnOnce("Geolocation support is not available so the GeolocateControl will be disabled.");var i=this._map._getUIString("GeolocateControl.LocationNotAvailable");this._geolocateButton.disabled=!0,this._geolocateButton.title=i,this._geolocateButton.setAttribute("aria-label",i)}else{var a=this._map._getUIString("GeolocateControl.FindMyLocation");this._geolocateButton.title=a,this._geolocateButton.setAttribute("aria-label",a)}this.options.trackUserLocation&&(this._geolocateButton.setAttribute("aria-pressed","false"),this._watchState="OFF"),this.options.showUserLocation&&(this._dotElement=r.create("div","mapboxgl-user-location-dot"),this._userLocationDotMarker=new Wi(this._dotElement),this._circleElement=r.create("div","mapboxgl-user-location-accuracy-circle"),this._accuracyCircleMarker=new Wi({element:this._circleElement,pitchAlignment:"map"}),this.options.trackUserLocation&&(this._watchState="OFF"),this._map.on("zoom",this._onZoom)),this._geolocateButton.addEventListener("click",this.trigger.bind(this)),this._setup=!0,this.options.trackUserLocation&&this._map.on("movestart",(function(e){var r=e.originalEvent&&"resize"===e.originalEvent.type;e.geolocateSource||"ACTIVE_LOCK"!==n._watchState||r||(n._watchState="BACKGROUND",n._geolocateButton.classList.add("mapboxgl-ctrl-geolocate-background"),n._geolocateButton.classList.remove("mapboxgl-ctrl-geolocate-active"),n.fire(new t.Event("trackuserlocationend")))}))},n.prototype.trigger=function(){if(!this._setup)return t.warnOnce("Geolocate control triggered before added to a map"),!1;if(this.options.trackUserLocation){switch(this._watchState){case"OFF":this._watchState="WAITING_ACTIVE",this.fire(new t.Event("trackuserlocationstart"));break;case"WAITING_ACTIVE":case"ACTIVE_LOCK":case"ACTIVE_ERROR":case"BACKGROUND_ERROR":Xi--,Zi=!1,this._watchState="OFF",this._geolocateButton.classList.remove("mapboxgl-ctrl-geolocate-waiting"),this._geolocateButton.classList.remove("mapboxgl-ctrl-geolocate-active"),this._geolocateButton.classList.remove("mapboxgl-ctrl-geolocate-active-error"),this._geolocateButton.classList.remove("mapboxgl-ctrl-geolocate-background"),this._geolocateButton.classList.remove("mapboxgl-ctrl-geolocate-background-error"),this.fire(new t.Event("trackuserlocationend"));break;case"BACKGROUND":this._watchState="ACTIVE_LOCK",this._geolocateButton.classList.remove("mapboxgl-ctrl-geolocate-background"),this._lastKnownPosition&&this._updateCamera(this._lastKnownPosition),this.fire(new t.Event("trackuserlocationstart"))}switch(this._watchState){case"WAITING_ACTIVE":this._geolocateButton.classList.add("mapboxgl-ctrl-geolocate-waiting"),this._geolocateButton.classList.add("mapboxgl-ctrl-geolocate-active");break;case"ACTIVE_LOCK":this._geolocateButton.classList.add("mapboxgl-ctrl-geolocate-active");break;case"ACTIVE_ERROR":this._geolocateButton.classList.add("mapboxgl-ctrl-geolocate-waiting"),this._geolocateButton.classList.add("mapboxgl-ctrl-geolocate-active-error");break;case"BACKGROUND":this._geolocateButton.classList.add("mapboxgl-ctrl-geolocate-background");break;case"BACKGROUND_ERROR":this._geolocateButton.classList.add("mapboxgl-ctrl-geolocate-waiting"),this._geolocateButton.classList.add("mapboxgl-ctrl-geolocate-background-error")}if("OFF"===this._watchState&&void 0!==this._geolocationWatchID)this._clearWatch();else if(void 0===this._geolocationWatchID){var e;this._geolocateButton.classList.add("mapboxgl-ctrl-geolocate-waiting"),this._geolocateButton.setAttribute("aria-pressed","true"),++Xi>1?(e={maximumAge:6e5,timeout:0},Zi=!0):(e=this.options.positionOptions,Zi=!1),this._geolocationWatchID=t.window.navigator.geolocation.watchPosition(this._onSuccess,this._onError,e)}}else t.window.navigator.geolocation.getCurrentPosition(this._onSuccess,this._onError,this.options.positionOptions),this._timeoutId=setTimeout(this._finish,1e4);return!0},n.prototype._clearWatch=function(){t.window.navigator.geolocation.clearWatch(this._geolocationWatchID),this._geolocationWatchID=void 0,this._geolocateButton.classList.remove("mapboxgl-ctrl-geolocate-waiting"),this._geolocateButton.setAttribute("aria-pressed","false"),this.options.showUserLocation&&this._updateMarker(null)},n}(t.Evented),Ji={maxWidth:100,unit:"metric"},$i=function(e){this.options=t.extend({},Ji,e),t.bindAll(["_onMove","setUnit"],this)};function Qi(t,e,r){var n=r&&r.maxWidth||100,i=t._container.clientHeight/2,a=t.unproject([0,i]),o=t.unproject([n,i]),s=a.distanceTo(o);if(r&&"imperial"===r.unit){var l=3.2808*s;l>5280?ta(e,n,l/5280,t._getUIString("ScaleControl.Miles")):ta(e,n,l,t._getUIString("ScaleControl.Feet"))}else r&&"nautical"===r.unit?ta(e,n,s/1852,t._getUIString("ScaleControl.NauticalMiles")):s>=1e3?ta(e,n,s/1e3,t._getUIString("ScaleControl.Kilometers")):ta(e,n,s,t._getUIString("ScaleControl.Meters"))}function ta(t,e,r,n){var i,a,o,s=(i=r,(a=Math.pow(10,(""+Math.floor(i)).length-1))*((o=i/a)>=10?10:o>=5?5:o>=3?3:o>=2?2:o>=1?1:function(t){var e=Math.pow(10,Math.ceil(-Math.log(t)/Math.LN10));return Math.round(t*e)/e}(o))),l=s/r;t.style.width=e*l+"px",t.innerHTML=s+" "+n}$i.prototype.getDefaultPosition=function(){return"bottom-left"},$i.prototype._onMove=function(){Qi(this._map,this._container,this.options)},$i.prototype.onAdd=function(t){return this._map=t,this._container=r.create("div","mapboxgl-ctrl mapboxgl-ctrl-scale",t.getContainer()),this._map.on("move",this._onMove),this._onMove(),this._container},$i.prototype.onRemove=function(){r.remove(this._container),this._map.off("move",this._onMove),this._map=void 0},$i.prototype.setUnit=function(t){this.options.unit=t,Qi(this._map,this._container,this.options)};var ea=function(e){this._fullscreen=!1,e&&e.container&&(e.container instanceof t.window.HTMLElement?this._container=e.container:t.warnOnce("Full screen control 'container' must be a DOM element.")),t.bindAll(["_onClickFullscreen","_changeIcon"],this),"onfullscreenchange"in t.window.document?this._fullscreenchange="fullscreenchange":"onmozfullscreenchange"in t.window.document?this._fullscreenchange="mozfullscreenchange":"onwebkitfullscreenchange"in t.window.document?this._fullscreenchange="webkitfullscreenchange":"onmsfullscreenchange"in t.window.document&&(this._fullscreenchange="MSFullscreenChange")};ea.prototype.onAdd=function(e){return this._map=e,this._container||(this._container=this._map.getContainer()),this._controlContainer=r.create("div","mapboxgl-ctrl mapboxgl-ctrl-group"),this._checkFullscreenSupport()?this._setupUI():(this._controlContainer.style.display="none",t.warnOnce("This device does not support fullscreen mode.")),this._controlContainer},ea.prototype.onRemove=function(){r.remove(this._controlContainer),this._map=null,t.window.document.removeEventListener(this._fullscreenchange,this._changeIcon)},ea.prototype._checkFullscreenSupport=function(){return!!(t.window.document.fullscreenEnabled||t.window.document.mozFullScreenEnabled||t.window.document.msFullscreenEnabled||t.window.document.webkitFullscreenEnabled)},ea.prototype._setupUI=function(){var e=this._fullscreenButton=r.create("button","mapboxgl-ctrl-fullscreen",this._controlContainer);r.create("span","mapboxgl-ctrl-icon",e).setAttribute("aria-hidden",!0),e.type="button",this._updateTitle(),this._fullscreenButton.addEventListener("click",this._onClickFullscreen),t.window.document.addEventListener(this._fullscreenchange,this._changeIcon)},ea.prototype._updateTitle=function(){var t=this._getTitle();this._fullscreenButton.setAttribute("aria-label",t),this._fullscreenButton.title=t},ea.prototype._getTitle=function(){return this._map._getUIString(this._isFullscreen()?"FullscreenControl.Exit":"FullscreenControl.Enter")},ea.prototype._isFullscreen=function(){return this._fullscreen},ea.prototype._changeIcon=function(){(t.window.document.fullscreenElement||t.window.document.mozFullScreenElement||t.window.document.webkitFullscreenElement||t.window.document.msFullscreenElement)===this._container!==this._fullscreen&&(this._fullscreen=!this._fullscreen,this._fullscreenButton.classList.toggle("mapboxgl-ctrl-shrink"),this._fullscreenButton.classList.toggle("mapboxgl-ctrl-fullscreen"),this._updateTitle())},ea.prototype._onClickFullscreen=function(){this._isFullscreen()?t.window.document.exitFullscreen?t.window.document.exitFullscreen():t.window.document.mozCancelFullScreen?t.window.document.mozCancelFullScreen():t.window.document.msExitFullscreen?t.window.document.msExitFullscreen():t.window.document.webkitCancelFullScreen&&t.window.document.webkitCancelFullScreen():this._container.requestFullscreen?this._container.requestFullscreen():this._container.mozRequestFullScreen?this._container.mozRequestFullScreen():this._container.msRequestFullscreen?this._container.msRequestFullscreen():this._container.webkitRequestFullscreen&&this._container.webkitRequestFullscreen()};var ra={closeButton:!0,closeOnClick:!0,focusAfterOpen:!0,className:"",maxWidth:"240px"},na=["a[href]","[tabindex]:not([tabindex='-1'])","[contenteditable]:not([contenteditable='false'])","button:not([disabled])","input:not([disabled])","select:not([disabled])","textarea:not([disabled])"].join(", "),ia=function(e){function n(r){e.call(this),this.options=t.extend(Object.create(ra),r),t.bindAll(["_update","_onClose","remove","_onMouseMove","_onMouseUp","_onDrag"],this)}return e&&(n.__proto__=e),n.prototype=Object.create(e&&e.prototype),n.prototype.constructor=n,n.prototype.addTo=function(e){return this._map&&this.remove(),this._map=e,this.options.closeOnClick&&this._map.on("click",this._onClose),this.options.closeOnMove&&this._map.on("move",this._onClose),this._map.on("remove",this.remove),this._update(),this._focusFirstElement(),this._trackPointer?(this._map.on("mousemove",this._onMouseMove),this._map.on("mouseup",this._onMouseUp),this._container&&this._container.classList.add("mapboxgl-popup-track-pointer"),this._map._canvasContainer.classList.add("mapboxgl-track-pointer")):this._map.on("move",this._update),this.fire(new t.Event("open")),this},n.prototype.isOpen=function(){return!!this._map},n.prototype.remove=function(){return this._content&&r.remove(this._content),this._container&&(r.remove(this._container),delete this._container),this._map&&(this._map.off("move",this._update),this._map.off("move",this._onClose),this._map.off("click",this._onClose),this._map.off("remove",this.remove),this._map.off("mousemove",this._onMouseMove),this._map.off("mouseup",this._onMouseUp),this._map.off("drag",this._onDrag),delete this._map),this.fire(new t.Event("close")),this},n.prototype.getLngLat=function(){return this._lngLat},n.prototype.setLngLat=function(e){return this._lngLat=t.LngLat.convert(e),this._pos=null,this._trackPointer=!1,this._update(),this._map&&(this._map.on("move",this._update),this._map.off("mousemove",this._onMouseMove),this._container&&this._container.classList.remove("mapboxgl-popup-track-pointer"),this._map._canvasContainer.classList.remove("mapboxgl-track-pointer")),this},n.prototype.trackPointer=function(){return this._trackPointer=!0,this._pos=null,this._update(),this._map&&(this._map.off("move",this._update),this._map.on("mousemove",this._onMouseMove),this._map.on("drag",this._onDrag),this._container&&this._container.classList.add("mapboxgl-popup-track-pointer"),this._map._canvasContainer.classList.add("mapboxgl-track-pointer")),this},n.prototype.getElement=function(){return this._container},n.prototype.setText=function(e){return this.setDOMContent(t.window.document.createTextNode(e))},n.prototype.setHTML=function(e){var r,n=t.window.document.createDocumentFragment(),i=t.window.document.createElement("body");for(i.innerHTML=e;r=i.firstChild;)n.appendChild(r);return this.setDOMContent(n)},n.prototype.getMaxWidth=function(){return this._container&&this._container.style.maxWidth},n.prototype.setMaxWidth=function(t){return this.options.maxWidth=t,this._update(),this},n.prototype.setDOMContent=function(t){if(this._content)for(;this._content.hasChildNodes();)this._content.firstChild&&this._content.removeChild(this._content.firstChild);else this._content=r.create("div","mapboxgl-popup-content",this._container);return this._content.appendChild(t),this._createCloseButton(),this._update(),this._focusFirstElement(),this},n.prototype.addClassName=function(t){this._container&&this._container.classList.add(t)},n.prototype.removeClassName=function(t){this._container&&this._container.classList.remove(t)},n.prototype.setOffset=function(t){return this.options.offset=t,this._update(),this},n.prototype.toggleClassName=function(t){if(this._container)return this._container.classList.toggle(t)},n.prototype._createCloseButton=function(){this.options.closeButton&&(this._closeButton=r.create("button","mapboxgl-popup-close-button",this._content),this._closeButton.type="button",this._closeButton.setAttribute("aria-label","Close popup"),this._closeButton.innerHTML="×",this._closeButton.addEventListener("click",this._onClose))},n.prototype._onMouseUp=function(t){this._update(t.point)},n.prototype._onMouseMove=function(t){this._update(t.point)},n.prototype._onDrag=function(t){this._update(t.point)},n.prototype._update=function(t){var e=this,n=this._lngLat||this._trackPointer;if(this._map&&n&&this._content&&(this._container||(this._container=r.create("div","mapboxgl-popup",this._map.getContainer()),this._tip=r.create("div","mapboxgl-popup-tip",this._container),this._container.appendChild(this._content),this.options.className&&this.options.className.split(" ").forEach((function(t){return e._container.classList.add(t)})),this._trackPointer&&this._container.classList.add("mapboxgl-popup-track-pointer")),this.options.maxWidth&&this._container.style.maxWidth!==this.options.maxWidth&&(this._container.style.maxWidth=this.options.maxWidth),this._map.transform.renderWorldCopies&&!this._trackPointer&&(this._lngLat=Vi(this._lngLat,this._pos,this._map.transform)),!this._trackPointer||t)){var i=this._pos=this._trackPointer&&t?t:this._map.project(this._lngLat),a=this.options.anchor,o=aa(this.options.offset);if(!a){var s,l=this._container.offsetWidth,u=this._container.offsetHeight;s=i.y+o.bottom.ythis._map.transform.height-u?["bottom"]:[],i.xthis._map.transform.width-l/2&&s.push("right"),a=0===s.length?"bottom":s.join("-")}var c=i.add(o[a]).round();r.setTransform(this._container,qi[a]+" translate("+c.x+"px,"+c.y+"px)"),Hi(this._container,a,"popup")}},n.prototype._focusFirstElement=function(){if(this.options.focusAfterOpen&&this._container){var t=this._container.querySelector(na);t&&t.focus()}},n.prototype._onClose=function(){this.remove()},n}(t.Evented);function aa(e){if(e){if("number"==typeof e){var r=Math.round(Math.sqrt(.5*Math.pow(e,2)));return{center:new t.Point(0,0),top:new t.Point(0,e),"top-left":new t.Point(r,r),"top-right":new t.Point(-r,r),bottom:new t.Point(0,-e),"bottom-left":new t.Point(r,-r),"bottom-right":new t.Point(-r,-r),left:new t.Point(e,0),right:new t.Point(-e,0)}}if(e instanceof t.Point||Array.isArray(e)){var n=t.Point.convert(e);return{center:n,top:n,"top-left":n,"top-right":n,bottom:n,"bottom-left":n,"bottom-right":n,left:n,right:n}}return{center:t.Point.convert(e.center||[0,0]),top:t.Point.convert(e.top||[0,0]),"top-left":t.Point.convert(e["top-left"]||[0,0]),"top-right":t.Point.convert(e["top-right"]||[0,0]),bottom:t.Point.convert(e.bottom||[0,0]),"bottom-left":t.Point.convert(e["bottom-left"]||[0,0]),"bottom-right":t.Point.convert(e["bottom-right"]||[0,0]),left:t.Point.convert(e.left||[0,0]),right:t.Point.convert(e.right||[0,0])}}return aa(new t.Point(0,0))}var oa={version:t.version,supported:e,setRTLTextPlugin:t.setRTLTextPlugin,getRTLTextPluginStatus:t.getRTLTextPluginStatus,Map:Fi,NavigationControl:ji,GeolocateControl:Ki,AttributionControl:Ei,ScaleControl:$i,FullscreenControl:ea,Popup:ia,Marker:Wi,Style:Ye,LngLat:t.LngLat,LngLatBounds:t.LngLatBounds,Point:t.Point,MercatorCoordinate:t.MercatorCoordinate,Evented:t.Evented,config:t.config,prewarm:function(){jt().acquire(Rt)},clearPrewarmedResources:function(){var t=Bt;t&&(t.isPreloaded()&&1===t.numActive()?(t.release(Rt),Bt=null):console.warn("Could not clear WebWorkers since there are active Map instances that still reference it. The pre-warmed WebWorker pool can only be cleared when all map instances have been removed with map.remove()"))},get accessToken(){return t.config.ACCESS_TOKEN},set accessToken(e){t.config.ACCESS_TOKEN=e},get baseApiUrl(){return t.config.API_URL},set baseApiUrl(e){t.config.API_URL=e},get workerCount(){return Ft.workerCount},set workerCount(t){Ft.workerCount=t},get maxParallelImageRequests(){return t.config.MAX_PARALLEL_IMAGE_REQUESTS},set maxParallelImageRequests(e){t.config.MAX_PARALLEL_IMAGE_REQUESTS=e},clearStorage:function(e){t.clearTileCache(e)},workerUrl:""};return oa})),r}()},3108:function(t,e,r){"use strict";t.exports=r(26099)},26099:function(t,e,r){"use strict";var n=r(64928),i=r(32420),a=r(51160),o=r(76752),s=r(55616),l=r(31264),u=r(47520),c=r(18400),f=r(72512),h=r(76244);function p(t,e){for(var r=e[0],n=e[1],a=1/(e[2]-r),o=1/(e[3]-n),s=new Array(t.length),l=0,u=t.length/2;l>>1;e.dtype||(e.dtype="array"),"string"==typeof e.dtype?d=new(f(e.dtype))(g):e.dtype&&(d=e.dtype,Array.isArray(d)&&(d.length=g));for(var y=0;yr||s>1073741824){for(var h=0;hr+i||M>n+i||S=C||o===s)){var l=m[a];void 0===s&&(s=l.length);for(var u=o;u=g&&f<=w&&h>=y&&h<=T&&P.push(c)}var p=x[a],d=p[4*o+0],v=p[4*o+1],b=p[4*o+2],_=p[4*o+3],k=function(t,e){for(var r=null,n=0;null===r;)if(r=t[4*e+n],++n>t.length)return null;return r}(p,o+1),E=.5*i,O=a+1;e(r,n,E,O,d,v||b||_||k),e(r,n+E,E,O,v,b||_||k),e(r+E,n,E,O,b,_||k),e(r+E,n+E,E,O,_,k)}}(0,0,1,0,0,1),P},d;function E(t,e,r){for(var n=1,i=.5,a=.5,o=.5,s=0;s0){e+=Math.abs(o(t[0]));for(var r=1;r2){for(l=0;l=0))throw new Error("precision must be a positive number");var r=Math.pow(10,e||0);return Math.round(t*r)/r},e.radiansToLength=c,e.lengthToRadians=f,e.lengthToDegrees=function(t,e){return h(f(t,e))},e.bearingToAzimuth=function(t){var e=t%360;return e<0&&(e+=360),e},e.radiansToDegrees=h,e.degreesToRadians=function(t){return t%360*Math.PI/180},e.convertLength=function(t,e,r){if(void 0===e&&(e="kilometers"),void 0===r&&(r="kilometers"),!(t>=0))throw new Error("length must be a positive number");return c(f(t,e),r)},e.convertArea=function(t,r,n){if(void 0===r&&(r="meters"),void 0===n&&(n="kilometers"),!(t>=0))throw new Error("area must be a positive number");var i=e.areaFactors[r];if(!i)throw new Error("invalid original units");var a=e.areaFactors[n];if(!a)throw new Error("invalid final units");return t/i*a},e.isNumber=p,e.isObject=function(t){return!!t&&t.constructor===Object},e.validateBBox=function(t){if(!t)throw new Error("bbox is required");if(!Array.isArray(t))throw new Error("bbox must be an Array");if(4!==t.length&&6!==t.length)throw new Error("bbox must be an Array of 4 or 6 numbers");t.forEach((function(t){if(!p(t))throw new Error("bbox must only contain numbers")}))},e.validateId=function(t){if(!t)throw new Error("id is required");if(-1===["string","number"].indexOf(typeof t))throw new Error("id must be a number or a string")}},3256:function(t,e,r){"use 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n=r(50896);function i(){this.regionalOptions=[],this.regionalOptions[""]={invalidCalendar:"Calendar {0} not found",invalidDate:"Invalid {0} date",invalidMonth:"Invalid {0} month",invalidYear:"Invalid {0} year",differentCalendars:"Cannot mix {0} and {1} dates"},this.local=this.regionalOptions[""],this.calendars={},this._localCals={}}function a(t,e,r,n){if(this._calendar=t,this._year=e,this._month=r,this._day=n,0===this._calendar._validateLevel&&!this._calendar.isValid(this._year,this._month,this._day))throw(u.local.invalidDate||u.regionalOptions[""].invalidDate).replace(/\{0\}/,this._calendar.local.name)}function o(t,e){return"000000".substring(0,e-(t=""+t).length)+t}function s(){this.shortYearCutoff="+10"}function l(t){this.local=this.regionalOptions[t]||this.regionalOptions[""]}n(i.prototype,{instance:function(t,e){t=(t||"gregorian").toLowerCase(),e=e||"";var r=this._localCals[t+"-"+e];if(!r&&this.calendars[t]&&(r=new 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0===arguments.length?this._day:this.set(t,"d")},date:function(t,e,r){if(!this._calendar.isValid(t,e,r))throw(u.local.invalidDate||u.regionalOptions[""].invalidDate).replace(/\{0\}/,this._calendar.local.name);return this._year=t,this._month=e,this._day=r,this},leapYear:function(){return this._calendar.leapYear(this)},epoch:function(){return this._calendar.epoch(this)},formatYear:function(){return this._calendar.formatYear(this)},monthOfYear:function(){return this._calendar.monthOfYear(this)},weekOfYear:function(){return this._calendar.weekOfYear(this)},daysInYear:function(){return this._calendar.daysInYear(this)},dayOfYear:function(){return this._calendar.dayOfYear(this)},daysInMonth:function(){return this._calendar.daysInMonth(this)},dayOfWeek:function(){return this._calendar.dayOfWeek(this)},weekDay:function(){return this._calendar.weekDay(this)},extraInfo:function(){return this._calendar.extraInfo(this)},add:function(t,e){return this._calendar.add(this,t,e)},set:function(t,e){return this._calendar.set(this,t,e)},compareTo:function(t){if(this._calendar.name!==t._calendar.name)throw(u.local.differentCalendars||u.regionalOptions[""].differentCalendars).replace(/\{0\}/,this._calendar.local.name).replace(/\{1\}/,t._calendar.local.name);var e=this._year!==t._year?this._year-t._year:this._month!==t._month?this.monthOfYear()-t.monthOfYear():this._day-t._day;return 0===e?0:e<0?-1:1},calendar:function(){return this._calendar},toJD:function(){return this._calendar.toJD(this)},fromJD:function(t){return this._calendar.fromJD(t)},toJSDate:function(){return this._calendar.toJSDate(this)},fromJSDate:function(t){return this._calendar.fromJSDate(t)},toString:function(){return(this.year()<0?"-":"")+o(Math.abs(this.year()),4)+"-"+o(this.month(),2)+"-"+o(this.day(),2)}}),n(s.prototype,{_validateLevel:0,newDate:function(t,e,r){return null==t?this.today():(t.year&&(this._validate(t,e,r,u.local.invalidDate||u.regionalOptions[""].invalidDate),r=t.day(),e=t.month(),t=t.year()),new a(this,t,e,r))},today:function(){return this.fromJSDate(new Date)},epoch:function(t){return this._validate(t,this.minMonth,this.minDay,u.local.invalidYear||u.regionalOptions[""].invalidYear).year()<0?this.local.epochs[0]:this.local.epochs[1]},formatYear:function(t){var e=this._validate(t,this.minMonth,this.minDay,u.local.invalidYear||u.regionalOptions[""].invalidYear);return(e.year()<0?"-":"")+o(Math.abs(e.year()),4)},monthsInYear:function(t){return this._validate(t,this.minMonth,this.minDay,u.local.invalidYear||u.regionalOptions[""].invalidYear),12},monthOfYear:function(t,e){var r=this._validate(t,e,this.minDay,u.local.invalidMonth||u.regionalOptions[""].invalidMonth);return(r.month()+this.monthsInYear(r)-this.firstMonth)%this.monthsInYear(r)+this.minMonth},fromMonthOfYear:function(t,e){var r=(e+this.firstMonth-2*this.minMonth)%this.monthsInYear(t)+this.minMonth;return 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0!==_&&Math.min(c,_)-Math.max(u,b)>1&&("left"===i.side?(s=i._mainLinePosition,l=r.width):l=i._mainLinePosition):void 0!==m&&void 0!==x&&Math.min(c,x)-Math.max(u,m)>1&&("top"===i.side?(s=i._mainLinePosition,l=r.height):l=i._mainLinePosition)}g[y++]=[{datum:t,traceIndex:t.trace.index,dp:0,pos:t.pos,posref:t.posref,size:t.by*(a?T:1)/2,pmin:s,pmax:l}]})),g.sort((function(t,e){return t[0].posref-e[0].posref||d*(e[0].traceIndex-t[0].traceIndex)}));!i&&p<=v;){for(p++,i=!0,s=0;s.01&&L.pmin===C.pmin&&L.pmax===C.pmax){for(l=E.length-1;l>=0;l--)E[l].dp+=a;for(S.push.apply(S,E),g.splice(s+1,1),c=0,l=S.length-1;l>=0;l--)c+=S[l].dp;for(o=c/S.length,l=S.length-1;l>=0;l--)S[l].dp-=o;i=!1}else s++}g.forEach(A)}for(s=g.length-1;s>=0;s--){var P=g[s];for(l=P.length-1;l>=0;l--){var O=P[l],I=O.datum;I.offset=O.dp,I.del=O.del}}}(Zt,Wt,c,Xt.commonLabelBoundingBox),z(Zt,Wt,c._invScaleX,c._invScaleY)),s&&s.tagName){var Kt=g.getComponentMethod("annotations","hasClickToShow")(t,Ot);f(n.select(s),Kt?"pointer":"")}s&&!a&&function(t,e,r){if(!r||r.length!==t._hoverdata.length)return!0;for(var n=r.length-1;n>=0;n--){var i=r[n],a=t._hoverdata[n];if(i.curveNumber!==a.curveNumber||String(i.pointNumber)!==String(a.pointNumber)||String(i.pointNumbers)!==String(a.pointNumbers))return!0}return!1}(t,0,Pt)&&(Pt&&t.emit("plotly_unhover",{event:e,points:Pt}),t.emit("plotly_hover",{event:e,points:t._hoverdata,xaxes:_,yaxes:w,xvals:H,yvals:G}))}(t,e,r,a,s)}))},e.loneHover=function(t,e){var r=!0;Array.isArray(t)||(r=!1,t=[t]);var i=e.gd,a=U(i),o=V(i),s=O(t.map((function(t){var r=t._x0||t.x0||t.x||0,n=t._x1||t.x1||t.x||0,s=t._y0||t.y0||t.y||0,l=t._y1||t.y1||t.y||0,u=t.eventData;if(u){var c=Math.min(r,n),f=Math.max(r,n),h=Math.min(s,l),d=Math.max(s,l),v=t.trace;if(g.traceIs(v,"gl3d")){var y=i._fullLayout[v.scene]._scene.container,m=y.offsetLeft,x=y.offsetTop;c+=m,f+=m,h+=x,d+=x}u.bbox={x0:c+o,x1:f+o,y0:h+a,y1:d+a},e.inOut_bbox&&e.inOut_bbox.push(u.bbox)}else u=!1;return{color:t.color||p.defaultLine,x0:t.x0||t.x||0,x1:t.x1||t.x||0,y0:t.y0||t.y||0,y1:t.y1||t.y||0,xLabel:t.xLabel,yLabel:t.yLabel,zLabel:t.zLabel,text:t.text,name:t.name,idealAlign:t.idealAlign,borderColor:t.borderColor,fontFamily:t.fontFamily,fontSize:t.fontSize,fontColor:t.fontColor,nameLength:t.nameLength,textAlign:t.textAlign,trace:t.trace||{index:0,hoverinfo:""},xa:{_offset:0},ya:{_offset:0},index:0,hovertemplate:t.hovertemplate||!1,hovertemplateLabels:t.hovertemplateLabels||!1,eventData:u}})),{gd:i,hovermode:"closest",rotateLabels:!1,bgColor:e.bgColor||p.background,container:n.select(e.container),outerContainer:e.outerContainer||e.container}).hoverLabels,l=0,u=0;return s.sort((function(t,e){return t.y0-e.y0})).each((function(t,r){var n=t.y0-t.by/2;t.offset=n-5([\s\S]*)<\/extra>/;function O(t,e){var r=e.gd,i=r._fullLayout,a=e.hovermode,u=e.rotateLabels,f=e.bgColor,d=e.container,v=e.outerContainer,w=e.commonLabelOpts||{};if(0===t.length)return[[]];var T=e.fontFamily||m.HOVERFONT,k=e.fontSize||m.HOVERFONTSIZE,A=t[0],E=A.xa,L=A.ya,P=a.charAt(0),O=P+"Label",D=A[O];if(void 0===D&&"multicategory"===E.type)for(var z=0;zi.width-b?(g=i.width-b,e.attr("d","M"+(b-M)+",0L"+b+","+x+M+"v"+x+(2*S+m.height)+"H-"+b+"V"+x+M+"H"+(b-2*M)+"Z")):e.attr("d","M0,0L"+M+","+x+M+"H"+b+"v"+x+(2*S+m.height)+"H-"+b+"V"+x+M+"H-"+M+"Z"),Y.minX=g-b,Y.maxX=g+b,"top"===E.side?(Y.minY=y-(2*S+m.height),Y.maxY=y-S):(Y.minY=y+S,Y.maxY=y+(2*S+m.height))}else{var _,C,P;"right"===L.side?(_="start",C=1,P="",g=E._offset+E._length):(_="end",C=-1,P="-",g=E._offset),y=L._offset+(A.y0+A.y1)/2,l.attr("text-anchor",_),e.attr("d","M0,0L"+P+M+","+M+"V"+(S+m.height/2)+"h"+P+(2*S+m.width)+"V-"+(S+m.height/2)+"H"+P+M+"V-"+M+"Z"),Y.minY=y-(S+m.height/2),Y.maxY=y+(S+m.height/2),"right"===L.side?(Y.minX=g+M,Y.maxX=g+M+(2*S+m.width)):(Y.minX=g-M-(2*S+m.width),Y.maxX=g-M);var O,I=m.height/2,z=F-m.top-I,R="clip"+i._uid+"commonlabel"+L._id;if(g=0?lt:ut+ht=0?ut:bt+ht=0?ot:st+pt=0?st:_t+pt=0,"top"!==t.idealAlign&&G||!W?G?(O+=R/2,t.anchor="start"):t.anchor="middle":(O-=R/2,t.anchor="end"),t.crossPos=O;else{if(t.pos=O,G=P+z/2+Y<=B,W=P-z/2-Y>=0,"left"!==t.idealAlign&&G||!W)if(G)P+=z/2,t.anchor="start";else{t.anchor="middle";var X=Y/2,Z=P+X-B,K=P-X;Z>0&&(P-=Z),K<0&&(P+=-K)}else P-=z/2,t.anchor="end";t.crossPos=P}w.attr("text-anchor",t.anchor),E&&A.attr("text-anchor",t.anchor),e.attr("transform",s(P,O)+(u?l(_):""))})),{hoverLabels:wt,commonLabelBoundingBox:Y}}function I(t,e,r,n,i,a){var s="",l="";void 0!==t.nameOverride&&(t.name=t.nameOverride),t.name&&(t.trace._meta&&(t.name=o.templateString(t.name,t.trace._meta)),s=N(t.name,t.nameLength));var u=r.charAt(0),c="x"===u?"y":"x";void 0!==t.zLabel?(void 0!==t.xLabel&&(l+="x: "+t.xLabel+"
"),void 0!==t.yLabel&&(l+="y: "+t.yLabel+"
"),"choropleth"!==t.trace.type&&"choroplethmapbox"!==t.trace.type&&(l+=(l?"z: ":"")+t.zLabel)):e&&t[u+"Label"]===i?l=t[c+"Label"]||"":void 0===t.xLabel?void 0!==t.yLabel&&"scattercarpet"!==t.trace.type&&(l=t.yLabel):l=void 0===t.yLabel?t.xLabel:"("+t.xLabel+", "+t.yLabel+")",!t.text&&0!==t.text||Array.isArray(t.text)||(l+=(l?"
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i,s,l,u,f=r.select("text.nums"),p=t.anchor,d="end"===p?-1:1,v=(u=(l=(s={start:1,end:-1,middle:0}[(i=t).anchor])*(M+S))+s*(i.txwidth+S),"middle"===i.anchor&&(l-=i.tx2width/2,u+=i.txwidth/2+S),{alignShift:s,textShiftX:l,text2ShiftX:u}),g=D(t,e),y=g.x,m=g.y,x="middle"===p;r.select("path").attr("d",x?"M-"+a(t.bx/2+t.tx2width/2)+","+o(m-t.by/2)+"h"+a(t.bx)+"v"+o(t.by)+"h-"+a(t.bx)+"Z":"M0,0L"+a(d*M+y)+","+o(M+m)+"v"+o(t.by/2-M)+"h"+a(d*t.bx)+"v-"+o(t.by)+"H"+a(d*M+y)+"V"+o(m-M)+"Z");var b=y+v.textShiftX,_=m+t.ty0-t.by/2+S,w=t.textAlign||"auto";"auto"!==w&&("left"===w&&"start"!==p?(f.attr("text-anchor","start"),b=x?-t.bx/2-t.tx2width/2+S:-t.bx-S):"right"===w&&"end"!==p&&(f.attr("text-anchor","end"),b=x?t.bx/2-t.tx2width/2-S:t.bx+S)),f.call(c.positionText,a(b),o(_)),t.tx2width&&(r.select("text.name").call(c.positionText,a(v.text2ShiftX+v.alignShift*S+y),o(m+t.ty0-t.by/2+S)),r.select("rect").call(h.setRect,a(v.text2ShiftX+(v.alignShift-1)*t.tx2width/2+y),o(m-t.by/2-1),a(t.tx2width),o(t.by+2)))}))}function R(t,e){var r=t.index,n=t.trace||{},a=t.cd[0],s=t.cd[r]||{};function l(t){return t||i(t)&&0===t}var u=Array.isArray(r)?function(t,e){var i=o.castOption(a,r,t);return l(i)?i:o.extractOption({},n,"",e)}:function(t,e){return o.extractOption(s,n,t,e)};function c(e,r,n){var i=u(r,n);l(i)&&(t[e]=i)}if(c("hoverinfo","hi","hoverinfo"),c("bgcolor","hbg","hoverlabel.bgcolor"),c("borderColor","hbc","hoverlabel.bordercolor"),c("fontFamily","htf","hoverlabel.font.family"),c("fontSize","hts","hoverlabel.font.size"),c("fontColor","htc","hoverlabel.font.color"),c("nameLength","hnl","hoverlabel.namelength"),c("textAlign","hta","hoverlabel.align"),t.posref="y"===e||"closest"===e&&"h"===n.orientation?t.xa._offset+(t.x0+t.x1)/2:t.ya._offset+(t.y0+t.y1)/2,t.x0=o.constrain(t.x0,0,t.xa._length),t.x1=o.constrain(t.x1,0,t.xa._length),t.y0=o.constrain(t.y0,0,t.ya._length),t.y1=o.constrain(t.y1,0,t.ya._length),void 0!==t.xLabelVal&&(t.xLabel="xLabel"in t?t.xLabel:v.hoverLabelText(t.xa,t.xLabelVal,n.xhoverformat),t.xVal=t.xa.c2d(t.xLabelVal)),void 0!==t.yLabelVal&&(t.yLabel="yLabel"in t?t.yLabel:v.hoverLabelText(t.ya,t.yLabelVal,n.yhoverformat),t.yVal=t.ya.c2d(t.yLabelVal)),void 0!==t.zLabelVal&&void 0===t.zLabel&&(t.zLabel=String(t.zLabelVal)),!(isNaN(t.xerr)||"log"===t.xa.type&&t.xerr<=0)){var f=v.tickText(t.xa,t.xa.c2l(t.xerr),"hover").text;void 0!==t.xerrneg?t.xLabel+=" +"+f+" / -"+v.tickText(t.xa,t.xa.c2l(t.xerrneg),"hover").text:t.xLabel+=" ± "+f,"x"===e&&(t.distance+=1)}if(!(isNaN(t.yerr)||"log"===t.ya.type&&t.yerr<=0)){var h=v.tickText(t.ya,t.ya.c2l(t.yerr),"hover").text;void 0!==t.yerrneg?t.yLabel+=" +"+h+" / -"+v.tickText(t.ya,t.ya.c2l(t.yerrneg),"hover").text:t.yLabel+=" ± "+h,"y"===e&&(t.distance+=1)}var p=t.hoverinfo||t.trace.hoverinfo;return p&&"all"!==p&&(-1===(p=Array.isArray(p)?p:p.split("+")).indexOf("x")&&(t.xLabel=void 0),-1===p.indexOf("y")&&(t.yLabel=void 0),-1===p.indexOf("z")&&(t.zLabel=void 0),-1===p.indexOf("text")&&(t.text=void 0),-1===p.indexOf("name")&&(t.name=void 0)),t}function F(t,e,r){var n,i,o=r.container,s=r.fullLayout,l=s._size,u=r.event,c=!!e.hLinePoint,f=!!e.vLinePoint;if(o.selectAll(".spikeline").remove(),f||c){var d=p.combine(s.plot_bgcolor,s.paper_bgcolor);if(c){var g,y,m=e.hLinePoint;n=m&&m.xa,"cursor"===(i=m&&m.ya).spikesnap?(g=u.pointerX,y=u.pointerY):(g=n._offset+m.x,y=i._offset+m.y);var x,b,_=a.readability(m.color,d)<1.5?p.contrast(d):m.color,w=i.spikemode,T=i.spikethickness,k=i.spikecolor||_,A=v.getPxPosition(t,i);if(-1!==w.indexOf("toaxis")||-1!==w.indexOf("across")){if(-1!==w.indexOf("toaxis")&&(x=A,b=g),-1!==w.indexOf("across")){var 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l=o.selectAll("g."+f.headerGroupClassName).data(r,p);l.enter().append("g").classed(f.headerGroupClassName,!0);for(var u=s.ensureSingle(o,"g",f.dropdownButtonGroupClassName,(function(t){t.style("pointer-events","all")})),c=0;cw,A=s.barLength+2*s.barPad,M=s.barWidth+2*s.barPad,S=d,E=g+y;E+M>u&&(E=u-M);var L=this.container.selectAll("rect.scrollbar-horizontal").data(k?[0]:[]);L.exit().on(".drag",null).remove(),L.enter().append("rect").classed("scrollbar-horizontal",!0).call(i.fill,s.barColor),k?(this.hbar=L.attr({rx:s.barRadius,ry:s.barRadius,x:S,y:E,width:A,height:M}),this._hbarXMin=S+A/2,this._hbarTranslateMax=w-A):(delete this.hbar,delete this._hbarXMin,delete this._hbarTranslateMax);var C=y>T,P=s.barWidth+2*s.barPad,O=s.barLength+2*s.barPad,I=d+v,D=g;I+P>l&&(I=l-P);var z=this.container.selectAll("rect.scrollbar-vertical").data(C?[0]:[]);z.exit().on(".drag",null).remove(),z.enter().append("rect").classed("scrollbar-vertical",!0).call(i.fill,s.barColor),C?(this.vbar=z.attr({rx:s.barRadius,ry:s.barRadius,x:I,y:D,width:P,height:O}),this._vbarYMin=D+O/2,this._vbarTranslateMax=T-O):(delete this.vbar,delete this._vbarYMin,delete this._vbarTranslateMax);var R=this.id,F=c-.5,B=C?f+P+.5:f+.5,N=h-.5,j=k?p+M+.5:p+.5,U=o._topdefs.selectAll("#"+R).data(k||C?[0]:[]);if(U.exit().remove(),U.enter().append("clipPath").attr("id",R).append("rect"),k||C?(this._clipRect=U.select("rect").attr({x:Math.floor(F),y:Math.floor(N),width:Math.ceil(B)-Math.floor(F),height:Math.ceil(j)-Math.floor(N)}),this.container.call(a.setClipUrl,R,this.gd),this.bg.attr({x:d,y:g,width:v,height:y})):(this.bg.attr({width:0,height:0}),this.container.on("wheel",null).on(".drag",null).call(a.setClipUrl,null),delete this._clipRect),k||C){var 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r=this.position.w-this._box.w,n=this.position.h-this._box.h;if(t=o.constrain(t||0,0,r),e=o.constrain(e||0,0,n),this.translateX=t,this.translateY=e,this.container.call(a.setTranslate,this._box.l-this.position.l-t,this._box.t-this.position.t-e),this._clipRect&&this._clipRect.attr({x:Math.floor(this.position.l+t-.5),y:Math.floor(this.position.t+e-.5)}),this.hbar){var i=t/r;this.hbar.call(a.setTranslate,t+i*this._hbarTranslateMax,e)}if(this.vbar){var s=e/n;this.vbar.call(a.setTranslate,t,e+s*this._vbarTranslateMax)}}},84284:function(t){"use strict";t.exports={FROM_BL:{left:0,center:.5,right:1,bottom:0,middle:.5,top:1},FROM_TL:{left:0,center:.5,right:1,bottom:1,middle:.5,top:0},FROM_BR:{left:1,center:.5,right:0,bottom:0,middle:.5,top:1},LINE_SPACING:1.3,CAP_SHIFT:.7,MID_SHIFT:.35,OPPOSITE_SIDE:{left:"right",right:"left",top:"bottom",bottom:"top"}}},36208:function(t){"use strict";t.exports={axisRefDescription:function(t,e,r){return["If set to a",t,"axis id (e.g. *"+t+"* or","*"+t+"2*), the 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r=t[i[e]];r.visible?(this.enabled[e]=r.showspikes,this.colors[e]=n(r.spikecolor),this.drawSides[e]=r.spikesides,this.lineWidth[e]=r.spikethickness):(this.enabled[e]=!1,this.drawSides[e]=!1)}},t.exports=function(t){var e=new a;return e.merge(t),e}},87152:function(t,e,r){"use strict";t.exports=function(t){for(var e=t.axesOptions,r=t.glplot.axesPixels,s=t.fullSceneLayout,l=[[],[],[]],u=0;u<3;++u){var c=s[a[u]];if(c._length=(r[u].hi-r[u].lo)*r[u].pixelsPerDataUnit/t.dataScale[u],Math.abs(c._length)===1/0||isNaN(c._length))l[u]=[];else{c._input_range=c.range.slice(),c.range[0]=r[u].lo/t.dataScale[u],c.range[1]=r[u].hi/t.dataScale[u],c._m=1/(t.dataScale[u]*r[u].pixelsPerDataUnit),c.range[0]===c.range[1]&&(c.range[0]-=1,c.range[1]+=1);var f=c.tickmode;if("auto"===c.tickmode){c.tickmode="linear";var h=c.nticks||i.constrain(c._length/40,4,9);n.autoTicks(c,Math.abs(c.range[1]-c.range[0])/h)}for(var p=n.calcTicks(c,{msUTC:!0}),d=0;d/g," 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F=x[u=(l=c[M[o]]).type];R[o]=Math.pow(F.acc,1/F.count)/p[o]}g="data"===D||Math.max.apply(null,R)/Math.min.apply(null,R)<=4?R:[1,1,1]}c.aspectratio.x=f.aspectratio.x=g[0],c.aspectratio.y=f.aspectratio.y=g[1],c.aspectratio.z=f.aspectratio.z=g[2],n.glplot.setAspectratio(c.aspectratio),n.viewInitial.aspectratio||(n.viewInitial.aspectratio={x:c.aspectratio.x,y:c.aspectratio.y,z:c.aspectratio.z}),n.viewInitial.aspectmode||(n.viewInitial.aspectmode=c.aspectmode);var B=c.domain||null,N=e._size||null;if(B&&N){var j=n.container.style;j.position="absolute",j.left=N.l+B.x[0]*N.w+"px",j.top=N.t+(1-B.y[1])*N.h+"px",j.width=N.w*(B.x[1]-B.x[0])+"px",j.height=N.h*(B.y[1]-B.y[0])+"px"}n.glplot.redraw()}},k.destroy=function(){var t=this;t.glplot&&(t.camera.mouseListener.enabled=!1,t.container.removeEventListener("wheel",t.camera.wheelListener),t.camera=null,t.glplot.dispose(),t.container.parentNode.removeChild(t.container),t.glplot=null)},k.getCamera=function(){var t,e=this;return e.camera.view.recalcMatrix(e.camera.view.lastT()),{up:{x:(t=e.camera).up[0],y:t.up[1],z:t.up[2]},center:{x:t.center[0],y:t.center[1],z:t.center[2]},eye:{x:t.eye[0],y:t.eye[1],z:t.eye[2]},projection:{type:!0===t._ortho?"orthographic":"perspective"}}},k.setViewport=function(t){var e,r=this,n=t.camera;r.camera.lookAt.apply(this,[[(e=n).eye.x,e.eye.y,e.eye.z],[e.center.x,e.center.y,e.center.z],[e.up.x,e.up.y,e.up.z]]),r.glplot.setAspectratio(t.aspectratio),"orthographic"===n.projection.type!==r.camera._ortho&&(r.glplot.redraw(),r.glplot.clearRGBA(),r.glplot.dispose(),r.initializeGLPlot())},k.isCameraChanged=function(t){var e=this.getCamera(),r=f.nestedProperty(t,this.id+".camera").get();function n(t,e,r,n){var i=["up","center","eye"],a=["x","y","z"];return e[i[r]]&&t[i[r]][a[n]]===e[i[r]][a[n]]}var i=!1;if(void 0===r)i=!0;else{for(var a=0;a<3;a++)for(var o=0;o<3;o++)if(!n(e,r,a,o)){i=!0;break}(!r.projection||e.projection&&e.projection.type!==r.projection.type)&&(i=!0)}return i},k.isAspectChanged=function(t){var e=this.glplot.getAspectratio(),r=f.nestedProperty(t,this.id+".aspectratio").get();return void 0===r||r.x!==e.x||r.y!==e.y||r.z!==e.z},k.saveLayout=function(t){var e,r,n,i,a,o,s=this,l=s.fullLayout,u=s.isCameraChanged(t),h=s.isAspectChanged(t),p=u||h;if(p){var d={};u&&(e=s.getCamera(),n=(r=f.nestedProperty(t,s.id+".camera")).get(),d[s.id+".camera"]=n),h&&(i=s.glplot.getAspectratio(),o=(a=f.nestedProperty(t,s.id+".aspectratio")).get(),d[s.id+".aspectratio"]=o),c.call("_storeDirectGUIEdit",t,l._preGUI,d),u&&(r.set(e),f.nestedProperty(l,s.id+".camera").set(e)),h&&(a.set(i),f.nestedProperty(l,s.id+".aspectratio").set(i),s.glplot.redraw())}return p},k.updateFx=function(t,e){var r=this,n=r.camera;if(n)if("orbit"===t)n.mode="orbit",n.keyBindingMode="rotate";else if("turntable"===t){n.up=[0,0,1],n.mode="turntable",n.keyBindingMode="rotate";var i=r.graphDiv,a=i._fullLayout,o=r.fullSceneLayout.camera,s=o.up.x,l=o.up.y,u=o.up.z;if(u/Math.sqrt(s*s+l*l+u*u)<.999){var h=r.id+".camera.up",p={x:0,y:0,z:1},d={};d[h]=p;var v=i.layout;c.call("_storeDirectGUIEdit",v,a._preGUI,d),o.up=p,f.nestedProperty(v,h).set(p)}}else n.keyBindingMode=t;r.fullSceneLayout.hovermode=e},k.toImage=function(t){var e=this;t||(t="png"),e.staticMode&&e.container.appendChild(n),e.glplot.redraw();var r=e.glplot.gl,i=r.drawingBufferWidth,a=r.drawingBufferHeight;r.bindFramebuffer(r.FRAMEBUFFER,null);var o=new Uint8Array(i*a*4);r.readPixels(0,0,i,a,r.RGBA,r.UNSIGNED_BYTE,o),function(t,e,r){for(var n=0,i=r-1;n0)for(var s=255/o,l=0;l<3;++l)t[a+l]=Math.min(s*t[a+l],255)}}(o,i,a);var s=document.createElement("canvas");s.width=i,s.height=a;var 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t=i.numbersScaler(h);z+=t[2];var e,r=S(v,"numbersScale",1,t[0],z,Math.min);v._scaleNumbers||(r=1),e=v._isAngular?y-r*h.bottom:y-r*(h.top+h.bottom)/2,v._numbersTop=r*h.top+e;var n=h[T];"center"===T&&(n=(h.left+h.right)/2);var a=g-r*n;return a=S(v,"numbersTranslate",0,a,z,Math.max),l(a,e)+s(r)}))}(t,I,e,{numbersX:v,numbersY:E,numbersScaler:L,transitionOpts:r,onComplete:g}),D&&(C={range:O.gauge.axis.range,color:O.gauge.bgcolor,line:{color:O.gauge.bordercolor,width:0},thickness:1},P={range:O.gauge.axis.range,color:"rgba(0, 0, 0, 0)",line:{color:O.gauge.bordercolor,width:O.gauge.borderwidth},thickness:1});var W=I.selectAll("g.angular").data(z?e:[]);W.exit().remove();var Y=I.selectAll("g.angularaxis").data(z?e:[]);Y.exit().remove(),z&&function(t,e,r,a){var o,s,f,h,p=r[0].trace,v=a.size,g=a.radius,y=a.innerRadius,m=a.gaugeBg,x=a.gaugeOutline,b=[v.l+v.w/2,v.t+v.h/2+g/2],_=a.gauge,A=a.layer,M=a.transitionOpts,S=a.onComplete,E=Math.PI/2;function L(t){var 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U,V,q,H=j.select("path");w(M)?(H.transition().duration(M.duration).ease(M.easing).each("end",(function(){S&&S()})).each("interrupt",(function(){S&&S()})).attrTween("d",(U=N,V=L(r[0].lastY),q=L(r[0].y),function(){var t=i(V,q);return function(e){return U.endAngle(t(e))()}})),p._lastValue=r[0].y):H.attr("d","number"==typeof r[0].y?N.endAngle(L(r[0].y)):"M0,0Z"),H.call(T),j.exit().remove(),F=[];var G=p.gauge.threshold.value;(G||0===G)&&F.push({range:[G,G],color:p.gauge.threshold.color,line:{color:p.gauge.threshold.line.color,width:p.gauge.threshold.line.width},thickness:p.gauge.threshold.thickness});var W=_.selectAll("g.threshold-arc").data(F);W.enter().append("g").classed("threshold-arc",!0).append("path"),W.select("path").call(P).call(T),W.exit().remove();var Y=_.selectAll("g.gauge-outline").data([x]);Y.enter().append("g").classed("gauge-outline",!0).append("path"),Y.select("path").call(P).call(T),Y.exit().remove()}(t,0,e,{radius:U,innerRadius:V,gauge:W,layer:Y,size:B,gaugeBg:C,gaugeOutline:P,transitionOpts:r,onComplete:g});var X=I.selectAll("g.bullet").data(R?e:[]);X.exit().remove();var Z=I.selectAll("g.bulletaxis").data(R?e:[]);Z.exit().remove(),R&&function(t,e,r,n){var i,a,o,s,u,c=r[0].trace,f=n.gauge,p=n.layer,v=n.gaugeBg,g=n.gaugeOutline,y=n.size,x=c.domain,b=n.transitionOpts,_=n.onComplete;f.enter().append("g").classed("bullet",!0),f.attr("transform",l(y.l,y.t)),p.enter().append("g").classed("bulletaxis",!0).classed("crisp",!0),p.selectAll("g.xbulletaxistick,path,text").remove();var A=y.h,M=c.gauge.bar.thickness*A,S=x.x[0],E=x.x[0]+(x.x[1]-x.x[0])*(c._hasNumber||c._hasDelta?1-h.bulletNumberDomainSize:1);function L(t){t.attr("width",(function(t){return Math.max(0,i.c2p(t.range[1])-i.c2p(t.range[0]))})).attr("x",(function(t){return 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O=f.selectAll("g.value-bullet").data([c.gauge.bar]);O.enter().append("g").classed("value-bullet",!0).append("rect"),O.select("rect").attr("height",M).attr("y",(A-M)/2).call(T),w(b)?O.select("rect").transition().duration(b.duration).ease(b.easing).each("end",(function(){_&&_()})).each("interrupt",(function(){_&&_()})).attr("width",Math.max(0,i.c2p(Math.min(c.gauge.axis.range[1],r[0].y)))):O.select("rect").attr("width","number"==typeof r[0].y?Math.max(0,i.c2p(Math.min(c.gauge.axis.range[1],r[0].y))):0),O.exit().remove();var I=r.filter((function(){return 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n=r(49084),i=r(29736).axisHoverFormat,a=r(21776).Ks,o=r(16716),s=r(45464),l=r(92880).extendFlat;t.exports=l({x:{valType:"data_array",editType:"calc+clearAxisTypes"},y:{valType:"data_array",editType:"calc+clearAxisTypes"},z:{valType:"data_array",editType:"calc+clearAxisTypes"},i:{valType:"data_array",editType:"calc"},j:{valType:"data_array",editType:"calc"},k:{valType:"data_array",editType:"calc"},text:{valType:"string",dflt:"",arrayOk:!0,editType:"calc"},hovertext:{valType:"string",dflt:"",arrayOk:!0,editType:"calc"},hovertemplate:a({editType:"calc"}),xhoverformat:i("x"),yhoverformat:i("y"),zhoverformat:i("z"),delaunayaxis:{valType:"enumerated",values:["x","y","z"],dflt:"z",editType:"calc"},alphahull:{valType:"number",dflt:-1,editType:"calc"},intensity:{valType:"data_array",editType:"calc"},intensitymode:{valType:"enumerated",values:["vertex","cell"],dflt:"vertex",editType:"calc"},color:{valType:"color",editType:"calc"},vertexcolor:{valType:"data_array",editType:"calc"},facecolor:{valType:"data_array",editType:"calc"},transforms:void 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p=s(t,e,{name:"dimensions",handleItemDefaults:f}),d=function(t,e,r,o,s){s("line.shape"),s("line.hovertemplate");var l=s("line.color",o.colorway[0]);if(i(t,"line")&&n.isArrayOrTypedArray(l)){if(l.length)return s("line.colorscale"),a(t,e,o,s,{prefix:"line.",cLetter:"c"}),l.length;e.line.color=r}return 1/0}(t,e,r,c,h);o(e,c,h),Array.isArray(p)&&p.length||(e.visible=!1),u(e,p,"values",d),h("hoveron"),h("hovertemplate"),h("arrangement"),h("bundlecolors"),h("sortpaths"),h("counts");var v={family:c.font.family,size:Math.round(c.font.size),color:c.font.color};n.coerceFont(h,"labelfont",v);var g={family:c.font.family,size:Math.round(c.font.size/1.2),color:c.font.color};n.coerceFont(h,"tickfont",g)}},22020:function(t,e,r){"use strict";t.exports={attributes:r(72140),supplyDefaults:r(76671),calc:r(69136),plot:r(60268),colorbar:{container:"line",min:"cmin",max:"cmax"},moduleType:"trace",name:"parcats",basePlotModule:r(91800),categories:["noOpacity"],meta:{}}},51036:function(t,e,r){"use strict";var n=r(33428),i=r(67756).Gz,a=r(36424),o=r(93024),s=r(3400),l=s.strTranslate,u=r(43616),c=r(49760),f=r(72736);function h(t,e,r,i){var a=e._context.staticPlot,o=t.map(F.bind(0,e,r)),c=i.selectAll("g.parcatslayer").data([null]);c.enter().append("g").attr("class","parcatslayer").style("pointer-events",a?"none":"all");var h=c.selectAll("g.trace.parcats").data(o,p),m=h.enter().append("g").attr("class","trace parcats");h.attr("transform",(function(t){return l(t.x,t.y)})),m.append("g").attr("class","paths");var x=h.select("g.paths").selectAll("path.path").data((function(t){return t.paths}),p);x.attr("fill",(function(t){return t.model.color}));var w=x.enter().append("path").attr("class","path").attr("stroke-opacity",0).attr("fill",(function(t){return t.model.color})).attr("fill-opacity",0);_(w),x.attr("d",(function(t){return t.svgD})),w.empty()||x.sort(v),x.exit().remove(),x.on("mouseover",g).on("mouseout",y).on("click",b),m.append("g").attr("class","dimensions");var A=h.select("g.dimensions").selectAll("g.dimension").data((function(t){return t.dimensions}),p);A.enter().append("g").attr("class","dimension"),A.attr("transform",(function(t){return l(t.x,0)})),A.exit().remove();var M=A.selectAll("g.category").data((function(t){return t.categories}),p),S=M.enter().append("g").attr("class","category");M.attr("transform",(function(t){return l(0,t.y)})),S.append("rect").attr("class","catrect").attr("pointer-events","none"),M.select("rect.catrect").attr("fill","none").attr("width",(function(t){return t.width})).attr("height",(function(t){return t.height})),T(S);var E=M.selectAll("rect.bandrect").data((function(t){return t.bands}),p);E.each((function(){s.raiseToTop(this)})),E.attr("fill",(function(t){return t.color}));var D=E.enter().append("rect").attr("class","bandrect").attr("stroke-opacity",0).attr("fill",(function(t){return t.color})).attr("fill-opacity",0);E.attr("fill",(function(t){return t.color})).attr("width",(function(t){return t.width})).attr("height",(function(t){return t.height})).attr("y",(function(t){return t.y})).attr("cursor",(function(t){return"fixed"===t.parcatsViewModel.arrangement?"default":"perpendicular"===t.parcatsViewModel.arrangement?"ns-resize":"move"})),k(D),E.exit().remove(),S.append("text").attr("class","catlabel").attr("pointer-events","none");var z=e._fullLayout.paper_bgcolor;M.select("text.catlabel").attr("text-anchor",(function(t){return d(t)?"start":"end"})).attr("alignment-baseline","middle").style("text-shadow",f.makeTextShadow(z)).style("fill","rgb(0, 0, 0)").attr("x",(function(t){return d(t)?t.width+5:-5})).attr("y",(function(t){return t.height/2})).text((function(t){return t.model.categoryLabel})).each((function(t){u.font(n.select(this),t.parcatsViewModel.categorylabelfont),f.convertToTspans(n.select(this),e)})),S.append("text").attr("class","dimlabel"),M.select("text.dimlabel").attr("text-anchor","middle").attr("alignment-baseline","baseline").attr("cursor",(function(t){return"fixed"===t.parcatsViewModel.arrangement?"default":"ew-resize"})).attr("x",(function(t){return t.width/2})).attr("y",-5).text((function(t,e){return 0===e?t.parcatsViewModel.model.dimensions[t.model.dimensionInd].dimensionLabel:null})).each((function(t){u.font(n.select(this),t.parcatsViewModel.labelfont)})),M.selectAll("rect.bandrect").on("mouseover",L).on("mouseout",C),M.exit().remove(),A.call(n.behavior.drag().origin((function(t){return{x:t.x,y:0}})).on("dragstart",P).on("drag",O).on("dragend",I)),h.each((function(t){t.traceSelection=n.select(this),t.pathSelection=n.select(this).selectAll("g.paths").selectAll("path.path"),t.dimensionSelection=n.select(this).selectAll("g.dimensions").selectAll("g.dimension")})),h.exit().remove()}function p(t){return t.key}function d(t){var e=t.parcatsViewModel.dimensions.length,r=t.parcatsViewModel.dimensions[e-1].model.dimensionInd;return t.model.dimensionInd===r}function v(t,e){return t.model.rawColor>e.model.rawColor?1:t.model.rawColor"),L=n.mouse(f)[0];o.loneHover({trace:h,x:b-d.left+v.left,y:_-d.top+v.top,text:E,color:t.model.color,borderColor:"black",fontFamily:'Monaco, "Courier New", 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e=t.parcatsViewModel;e.dragDimension||(_(e.pathSelection),T(e.dimensionSelection.selectAll("g.category")),k(e.dimensionSelection.selectAll("g.category").selectAll("rect.bandrect")),o.loneUnhover(e.graphDiv._fullLayout._hoverlayer.node()),e.pathSelection.sort(v),-1!==e.hoverinfoItems.indexOf("skip"))||("color"===t.parcatsViewModel.hoveron?S(this,"plotly_unhover",n.event):M(this,"plotly_unhover",n.event))}function P(t){"fixed"!==t.parcatsViewModel.arrangement&&(t.dragDimensionDisplayInd=t.model.displayInd,t.initialDragDimensionDisplayInds=t.parcatsViewModel.model.dimensions.map((function(t){return t.displayInd})),t.dragHasMoved=!1,t.dragCategoryDisplayInd=null,n.select(this).selectAll("g.category").select("rect.catrect").each((function(e){var r=n.mouse(this)[0],i=n.mouse(this)[1];-2<=r&&r<=e.width+2&&-2<=i&&i<=e.height+2&&(t.dragCategoryDisplayInd=e.model.displayInd,t.initialDragCategoryDisplayInds=t.model.categories.map((function(t){return 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t,e,r=[];return{set:function(n){1===(r=n.map((function(t){return t.slice().sort(s)})).sort(A)).length&&r[0][0]===-1/0&&r[0][1]===1/0&&(r=[[0,-1]]),t=S(r),e=r.reduce((function(t,e){return[Math.min(t[0],e[0]),Math.max(t[1],e[1])]}),[1/0,-1/0])},get:function(){return r.slice()},getConsolidated:function(){return t},getBounds:function(){return e}}}();return l.set(r),{filter:l,filterSpecified:e,svgBrush:{extent:[],brushStartCallback:n,brushCallback:(o=i,function(t){var e=t.brush,r=function(t){return t.svgBrush.extent.map((function(t){return t.slice()}))}(e),n=r.slice();e.filter.set(n),o()}),brushEndCallback:a}}},ensureAxisBrush:function(t,e,r){var i=t.selectAll("."+n.cn.axisBrush).data(o,a);i.enter().append("g").classed(n.cn.axisBrush,!0),function(t,e,r){var 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n=e[0].trace;c[r]=n.index;var i=f[r]=n._fullInput.index;l[r]=t.data[i].dimensions,u[r]=t.data[i].dimensions.slice()})),n(t,e,{width:h.w,height:h.h,margin:{t:h.t,r:h.r,b:h.b,l:h.l}},{filterChanged:function(e,n,i){var a=u[e][n],o=i.map((function(t){return t.slice()})),s="dimensions["+n+"].constraintrange",l=r._tracePreGUI[t._fullData[c[e]]._fullInput.uid];if(void 0===l[s]){var h=a.constraintrange;l[s]=h||null}var p=t._fullData[c[e]].dimensions[n];o.length?(1===o.length&&(o=o[0]),a.constraintrange=o,p.constraintrange=o.slice(),o=[o]):(delete a.constraintrange,delete p.constraintrange,o=null);var d={};d[s]=o,t.emit("plotly_restyle",[d,[f[e]]])},hover:function(e){t.emit("plotly_hover",e)},unhover:function(e){t.emit("plotly_unhover",e)},axesMoved:function(e,r){var n=function(t,e){return function(r,n){return s(t,e,r)-s(t,e,n)}}(r,u[e].filter(a));l[e].sort(n),u[e].filter((function(t){return!a(t)})).sort((function(t){return 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n=r(45464),i=r(86968).u,a=r(25376),o=r(22548),s=r(21776).Ks,l=r(21776).Gw,u=r(92880).extendFlat,c=r(98192).c,f=a({editType:"plot",arrayOk:!0,colorEditType:"plot"});t.exports={labels:{valType:"data_array",editType:"calc"},label0:{valType:"number",dflt:0,editType:"calc"},dlabel:{valType:"number",dflt:1,editType:"calc"},values:{valType:"data_array",editType:"calc"},marker:{colors:{valType:"data_array",editType:"calc"},line:{color:{valType:"color",dflt:o.defaultLine,arrayOk:!0,editType:"style"},width:{valType:"number",min:0,dflt:0,arrayOk:!0,editType:"style"},editType:"calc"},pattern:c,editType:"calc"},text:{valType:"data_array",editType:"plot"},hovertext:{valType:"string",dflt:"",arrayOk:!0,editType:"style"},scalegroup:{valType:"string",dflt:"",editType:"calc"},textinfo:{valType:"flaglist",flags:["label","text","value","percent"],extras:["none"],editType:"calc"},hoverinfo:u({},n.hoverinfo,{flags:["label","text","value","percent","name"]}),hovertemplate:s({},{keys:["label","color","value","percent","text"]}),texttemplate:l({editType:"plot"},{keys:["label","color","value","percent","text"]}),textposition:{valType:"enumerated",values:["inside","outside","auto","none"],dflt:"auto",arrayOk:!0,editType:"plot"},textfont:u({},f,{}),insidetextorientation:{valType:"enumerated",values:["horizontal","radial","tangential","auto"],dflt:"auto",editType:"plot"},insidetextfont:u({},f,{}),outsidetextfont:u({},f,{}),automargin:{valType:"boolean",dflt:!1,editType:"plot"},title:{text:{valType:"string",dflt:"",editType:"plot"},font:u({},f,{}),position:{valType:"enumerated",values:["top 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n=r(38248),i=r(49760),a=r(76308),o={};function s(t){return function(e,r){return!!e&&!!(e=i(e)).isValid()&&(e=a.addOpacity(e,e.getAlpha()),t[r]||(t[r]=e),e)}}function l(t,e){var r,n=JSON.stringify(t),a=e[n];if(!a){for(a=t.slice(),r=0;r=0})),("funnelarea"===e.type?y:e.sort)&&a.sort((function(t,e){return e.v-t.v})),a[0]&&(a[0].vTotal=g),a},crossTraceCalc:function(t,e){var r=(e||{}).type;r||(r="pie");var n=t._fullLayout,i=t.calcdata,a=n[r+"colorway"],s=n["_"+r+"colormap"];n["extend"+r+"colors"]&&(a=l(a,o));for(var u=0,c=0;c0){s=!0;break}}s||(o=0)}return{hasLabels:r,hasValues:a,len:o}}function c(t,e,r,n,i){n("marker.line.width")&&n("marker.line.color",i?void 0:r.paper_bgcolor);var a=n("marker.colors");l(n,"marker.pattern",a),t.marker&&!e.marker.pattern.fgcolor&&(e.marker.pattern.fgcolor=t.marker.colors),e.marker.pattern.bgcolor||(e.marker.pattern.bgcolor=r.paper_bgcolor)}t.exports={handleLabelsAndValues:u,handleMarkerDefaults:c,supplyDefaults:function(t,e,r,n){function l(r,n){return i.coerce(t,e,a,r,n)}var f=u(l("labels"),l("values")),h=f.len;if(e._hasLabels=f.hasLabels,e._hasValues=f.hasValues,!e._hasLabels&&e._hasValues&&(l("label0"),l("dlabel")),h){e._length=h,c(t,e,n,l,!0),l("scalegroup");var p,d=l("text"),v=l("texttemplate");if(v||(p=l("textinfo",i.isArrayOrTypedArray(d)?"text+percent":"percent")),l("hovertext"),l("hovertemplate"),v||p&&"none"!==p){var g=l("textposition");s(t,e,n,l,g,{moduleHasSelected:!1,moduleHasUnselected:!1,moduleHasConstrain:!1,moduleHasCliponaxis:!1,moduleHasTextangle:!1,moduleHasInsideanchor:!1}),(Array.isArray(g)||"auto"===g||"outside"===g)&&l("automargin"),("inside"===g||"auto"===g||Array.isArray(g))&&l("insidetextorientation")}o(e,n,l);var y=l("hole");if(l("title.text")){var m=l("title.position",y?"middle center":"top center");y||"middle center"!==m||(e.title.position="top center"),i.coerceFont(l,"title.font",n.font)}l("sort"),l("direction"),l("rotation"),l("pull")}else e.visible=!1}}},53644:function(t,e,r){"use strict";var n=r(10624).appendArrayMultiPointValues;t.exports=function(t,e){var r={curveNumber:e.index,pointNumbers:t.pts,data:e._input,fullData:e,label:t.label,color:t.color,value:t.v,percent:t.percent,text:t.text,bbox:t.bbox,v:t.v};return 1===t.pts.length&&(r.pointNumber=r.i=t.pts[0]),n(r,e,t.pts),"funnelarea"===e.type&&(delete r.v,delete r.i),r}},21552:function(t,e,r){"use strict";var n=r(43616),i=r(76308);t.exports=function(t,e,r,a){var o=r.marker.pattern;o&&o.shape?n.pointStyle(t,r,a,e):i.fill(t,e.color)}},69656:function(t,e,r){"use strict";var n=r(3400);function i(t){return-1!==t.indexOf("e")?t.replace(/[.]?0+e/,"e"):-1!==t.indexOf(".")?t.replace(/[.]?0+$/,""):t}e.formatPiePercent=function(t,e){var r=i((100*t).toPrecision(3));return n.numSeparate(r,e)+"%"},e.formatPieValue=function(t,e){var r=i(t.toPrecision(10));return n.numSeparate(r,e)},e.getFirstFilled=function(t,e){if(n.isArrayOrTypedArray(t))for(var r=0;r"),name:f.hovertemplate||-1!==h.indexOf("name")?f.name:void 0,idealAlign:t.pxmid[0]<0?"left":"right",color:g.castOption(_.bgcolor,t.pts)||t.color,borderColor:g.castOption(_.bordercolor,t.pts),fontFamily:g.castOption(w.family,t.pts),fontSize:g.castOption(w.size,t.pts),fontColor:g.castOption(w.color,t.pts),nameLength:g.castOption(_.namelength,t.pts),textAlign:g.castOption(_.align,t.pts),hovertemplate:g.castOption(f.hovertemplate,t.pts),hovertemplateLabels:t,eventData:[y(t,f)]},{container:r._hoverlayer.node(),outerContainer:r._paper.node(),gd:e,inOut_bbox:T}),t.bbox=T[0],u._hasHoverLabel=!0}u._hasHoverEvent=!0,e.emit("plotly_hover",{points:[y(t,f)],event:n.event})}})),t.on("mouseout",(function(t){var r=e._fullLayout,i=e._fullData[u.index],o=n.select(this).datum();u._hasHoverEvent&&(t.originalEvent=n.event,e.emit("plotly_unhover",{points:[y(o,i)],event:n.event}),u._hasHoverEvent=!1),u._hasHoverLabel&&(a.loneUnhover(r._hoverlayer.node()),u._hasHoverLabel=!1)})),t.on("click",(function(t){var r=e._fullLayout,i=e._fullData[u.index];e._dragging||!1===r.hovermode||(e._hoverdata=[y(t,i)],a.click(e,n.event))}))}function b(t,e,r){var n=g.castOption(t.insidetextfont.color,e.pts);!n&&t._input.textfont&&(n=g.castOption(t._input.textfont.color,e.pts));var i=g.castOption(t.insidetextfont.family,e.pts)||g.castOption(t.textfont.family,e.pts)||r.family,a=g.castOption(t.insidetextfont.size,e.pts)||g.castOption(t.textfont.size,e.pts)||r.size;return{color:n||o.contrast(e.color),family:i,size:a}}function _(t,e){for(var r,n,i=0;ie&&e>n||r=-4;g-=2)y(Math.PI*g,"tan");for(g=4;g>=-4;g-=2)y(Math.PI*(g+1),"tan")}if(f||p){for(g=4;g>=-4;g-=2)y(Math.PI*(g+1.5),"rad");for(g=4;g>=-4;g-=2)y(Math.PI*(g+.5),"rad")}}if(s||d||f){var m=Math.sqrt(t.width*t.width+t.height*t.height);if((a={scale:i*n*2/m,rCenter:1-i,rotate:0}).textPosAngle=(e.startangle+e.stopangle)/2,a.scale>=1)return a;v.push(a)}(d||p)&&((a=T(t,n,o,l,u)).textPosAngle=(e.startangle+e.stopangle)/2,v.push(a)),(d||h)&&((a=k(t,n,o,l,u)).textPosAngle=(e.startangle+e.stopangle)/2,v.push(a));for(var x=0,b=0,_=0;_=1)break}return v[x]}function T(t,e,r,n,i){e=Math.max(0,e-2*v);var a=t.width/t.height,o=S(a,n,e,r);return{scale:2*o/t.height,rCenter:A(a,o/e),rotate:M(i)}}function k(t,e,r,n,i){e=Math.max(0,e-2*v);var a=t.height/t.width,o=S(a,n,e,r);return{scale:2*o/t.width,rCenter:A(a,o/e),rotate:M(i+Math.PI/2)}}function A(t,e){return Math.cos(e)-t*e}function M(t){return(180/Math.PI*t+720)%180-90}function S(t,e,r,n){var i=t+1/(2*Math.tan(e));return r*Math.min(1/(Math.sqrt(i*i+.5)+i),n/(Math.sqrt(t*t+n/2)+t))}function E(t,e){return t.v!==e.vTotal||e.trace.hole?Math.min(1/(1+1/Math.sin(t.halfangle)),t.ring/2):1}function L(t,e){var r=e.pxmid[0],n=e.pxmid[1],i=t.width/2,a=t.height/2;return r<0&&(i*=-1),n<0&&(a*=-1),{scale:1,rCenter:1,rotate:0,x:i+Math.abs(a)*(i>0?1:-1)/2,y:a/(1+r*r/(n*n)),outside:!0}}function C(t,e){var r,n,i,a=t.trace,o={x:t.cx,y:t.cy},s={tx:0,ty:0};s.ty+=a.title.font.size,i=O(a),-1!==a.title.position.indexOf("top")?(o.y-=(1+i)*t.r,s.ty-=t.titleBox.height):-1!==a.title.position.indexOf("bottom")&&(o.y+=(1+i)*t.r);var l,u=t.r/(void 0===(l=t.trace.aspectratio)?1:l),c=e.w*(a.domain.x[1]-a.domain.x[0])/2;return-1!==a.title.position.indexOf("left")?(c+=u,o.x-=(1+i)*u,s.tx+=t.titleBox.width/2):-1!==a.title.position.indexOf("center")?c*=2:-1!==a.title.position.indexOf("right")&&(c+=u,o.x+=(1+i)*u,s.tx-=t.titleBox.width/2),r=c/t.titleBox.width,n=P(t,e)/t.titleBox.height,{x:o.x,y:o.y,scale:Math.min(r,n),tx:s.tx,ty:s.ty}}function P(t,e){var r=t.trace,n=e.h*(r.domain.y[1]-r.domain.y[0]);return Math.min(t.titleBox.height,n/2)}function O(t){var e,r=t.pull;if(!r)return 0;if(l.isArrayOrTypedArray(r))for(r=0,e=0;er&&(r=t.pull[e]);return r}function I(t,e){for(var r=[],n=0;n1?c=(u=r.r)/i.aspectratio:u=(c=r.r)*i.aspectratio,l=(u*=(1+i.baseratio)/2)*c}o=Math.min(o,l/r.vTotal)}for(n=0;n")}if(a){var x=l.castOption(i,e.i,"texttemplate");if(x){var b=function(t){return{label:t.label,value:t.v,valueLabel:g.formatPieValue(t.v,n.separators),percent:t.v/r.vTotal,percentLabel:g.formatPiePercent(t.v/r.vTotal,n.separators),color:t.color,text:t.text,customdata:l.castOption(i,t.i,"customdata")}}(e),_=g.getFirstFilled(i.text,e.pts);(m(_)||""===_)&&(b.text=_),e.text=l.texttemplateString(x,b,t._fullLayout._d3locale,b,i._meta||{})}else e.text=""}}function R(t,e){var r=t.rotate*Math.PI/180,n=Math.cos(r),i=Math.sin(r),a=(e.left+e.right)/2,o=(e.top+e.bottom)/2;t.textX=a*n-o*i,t.textY=a*i+o*n,t.noCenter=!0}t.exports={plot:function(t,e){var r=t._context.staticPlot,a=t._fullLayout,h=a._size;d("pie",a),_(e,t),I(e,h);var v=l.makeTraceGroups(a._pielayer,e,"trace").each((function(e){var d=n.select(this),v=e[0],y=v.trace;!function(t){var e,r,n,i=t[0],a=i.r,o=i.trace,s=g.getRotationAngle(o.rotation),l=2*Math.PI/i.vTotal,u="px0",c="px1";if("counterclockwise"===o.direction){for(e=0;ei.vTotal/2?1:0,r.halfangle=Math.PI*Math.min(r.v/i.vTotal,.5),r.ring=1-o.hole,r.rInscribed=E(r,i))}(e),d.attr("stroke-linejoin","round"),d.each((function(){var m=n.select(this).selectAll("g.slice").data(e);m.enter().append("g").classed("slice",!0),m.exit().remove();var _=[[[],[]],[[],[]]],T=!1;m.each((function(i,o){if(i.hidden)n.select(this).selectAll("path,g").remove();else{i.pointNumber=i.i,i.curveNumber=y.index,_[i.pxmid[1]<0?0:1][i.pxmid[0]<0?0:1].push(i);var u=v.cx,c=v.cy,h=n.select(this),d=h.selectAll("path.surface").data([i]);if(d.enter().append("path").classed("surface",!0).style({"pointer-events":r?"none":"all"}),h.call(x,t,e),y.pull){var m=+g.castOption(y.pull,i.pts)||0;m>0&&(u+=m*i.pxmid[0],c+=m*i.pxmid[1])}i.cxFinal=u,i.cyFinal=c;var k=y.hole;if(i.v===v.vTotal){var A="M"+(u+i.px0[0])+","+(c+i.px0[1])+P(i.px0,i.pxmid,!0,1)+P(i.pxmid,i.px0,!0,1)+"Z";k?d.attr("d","M"+(u+k*i.px0[0])+","+(c+k*i.px0[1])+P(i.px0,i.pxmid,!1,k)+P(i.pxmid,i.px0,!1,k)+"Z"+A):d.attr("d",A)}else{var M=P(i.px0,i.px1,!0,1);if(k){var S=1-k;d.attr("d","M"+(u+k*i.px1[0])+","+(c+k*i.px1[1])+P(i.px1,i.px0,!1,k)+"l"+S*i.px0[0]+","+S*i.px0[1]+M+"Z")}else d.attr("d","M"+u+","+c+"l"+i.px0[0]+","+i.px0[1]+M+"Z")}z(t,i,v);var E=g.castOption(y.textposition,i.pts),C=h.selectAll("g.slicetext").data(i.text&&"none"!==E?[0]:[]);C.enter().append("g").classed("slicetext",!0),C.exit().remove(),C.each((function(){var r=l.ensureSingle(n.select(this),"text","",(function(t){t.attr("data-notex",1)})),h=l.ensureUniformFontSize(t,"outside"===E?function(t,e,r){return{color:g.castOption(t.outsidetextfont.color,e.pts)||g.castOption(t.textfont.color,e.pts)||r.color,family:g.castOption(t.outsidetextfont.family,e.pts)||g.castOption(t.textfont.family,e.pts)||r.family,size:g.castOption(t.outsidetextfont.size,e.pts)||g.castOption(t.textfont.size,e.pts)||r.size}}(y,i,a.font):b(y,i,a.font));r.text(i.text).attr({class:"slicetext",transform:"","text-anchor":"middle"}).call(s.font,h).call(f.convertToTspans,t);var d,m=s.bBox(r.node());if("outside"===E)d=L(m,i);else if(d=w(m,i,v),"auto"===E&&d.scale<1){var x=l.ensureUniformFontSize(t,y.outsidetextfont);r.call(s.font,x),d=L(m=s.bBox(r.node()),i)}var _=d.textPosAngle,k=void 0===_?i.pxmid:D(v.r,_);if(d.targetX=u+k[0]*d.rCenter+(d.x||0),d.targetY=c+k[1]*d.rCenter+(d.y||0),R(d,m),d.outside){var A=d.targetY;i.yLabelMin=A-m.height/2,i.yLabelMid=A,i.yLabelMax=A+m.height/2,i.labelExtraX=0,i.labelExtraY=0,T=!0}d.fontSize=h.size,p(y.type,d,a),e[o].transform=d,l.setTransormAndDisplay(r,d)}))}function P(t,e,r,n){var a=n*(e[0]-t[0]),o=n*(e[1]-t[1]);return"a"+n*v.r+","+n*v.r+" 0 "+i.largeArc+(r?" 1 ":" 0 ")+a+","+o}}));var k=n.select(this).selectAll("g.titletext").data(y.title.text?[0]:[]);if(k.enter().append("g").classed("titletext",!0),k.exit().remove(),k.each((function(){var e,r=l.ensureSingle(n.select(this),"text","",(function(t){t.attr("data-notex",1)})),i=y.title.text;y._meta&&(i=l.templateString(i,y._meta)),r.text(i).attr({class:"titletext",transform:"","text-anchor":"middle"}).call(s.font,y.title.font).call(f.convertToTspans,t),e="middle center"===y.title.position?function(t){var e=Math.sqrt(t.titleBox.width*t.titleBox.width+t.titleBox.height*t.titleBox.height);return{x:t.cx,y:t.cy,scale:t.trace.hole*t.r*2/e,tx:0,ty:-t.titleBox.height/2+t.trace.title.font.size}}(v):C(v,h),r.attr("transform",c(e.x,e.y)+u(Math.min(1,e.scale))+c(e.tx,e.ty))})),T&&function(t,e){var r,n,i,a,o,s,u,c,f,h,p,d,v;function y(t,e){return t.pxmid[1]-e.pxmid[1]}function m(t,e){return e.pxmid[1]-t.pxmid[1]}function x(t,r){r||(r={});var i,c,f,p,d=r.labelExtraY+(n?r.yLabelMax:r.yLabelMin),v=n?t.yLabelMin:t.yLabelMax,y=n?t.yLabelMax:t.yLabelMin,m=t.cyFinal+o(t.px0[1],t.px1[1]),x=d-v;if(x*u>0&&(t.labelExtraY=x),l.isArrayOrTypedArray(e.pull))for(c=0;c=(g.castOption(e.pull,f.pts)||0)||((t.pxmid[1]-f.pxmid[1])*u>0?(x=f.cyFinal+o(f.px0[1],f.px1[1])-v-t.labelExtraY)*u>0&&(t.labelExtraY+=x):(y+t.labelExtraY-m)*u>0&&(i=3*s*Math.abs(c-h.indexOf(t)),(p=f.cxFinal+a(f.px0[0],f.px1[0])+i-(t.cxFinal+t.pxmid[0])-t.labelExtraX)*s>0&&(t.labelExtraX+=p)))}for(n=0;n<2;n++)for(i=n?y:m,o=n?Math.max:Math.min,u=n?1:-1,r=0;r<2;r++){for(a=r?Math.max:Math.min,s=r?1:-1,(c=t[n][r]).sort(i),f=t[1-n][r],h=f.concat(c),d=[],p=0;pMath.abs(f)?s+="l"+f*t.pxmid[0]/t.pxmid[1]+","+f+"H"+(a+t.labelExtraX+u):s+="l"+t.labelExtraX+","+c+"v"+(f-c)+"h"+u}else s+="V"+(t.yLabelMid+t.labelExtraY)+"h"+u;l.ensureSingle(r,"path","textline").call(o.stroke,e.outsidetextfont.color).attr({"stroke-width":Math.min(2,e.outsidetextfont.size/8),d:s,fill:"none"})}else r.select("path.textline").remove()}))}(m,y),T&&y.automargin){var A=s.bBox(d.node()),M=y.domain,S=h.w*(M.x[1]-M.x[0]),E=h.h*(M.y[1]-M.y[0]),P=(.5*S-v.r)/h.w,O=(.5*E-v.r)/h.h;i.autoMargin(t,"pie."+y.uid+".automargin",{xl:M.x[0]-P,xr:M.x[1]+P,yb:M.y[0]-O,yt:M.y[1]+O,l:Math.max(v.cx-v.r-A.left,0),r:Math.max(A.right-(v.cx+v.r),0),b:Math.max(A.bottom-(v.cy+v.r),0),t:Math.max(v.cy-v.r-A.top,0),pad:5})}}))}));setTimeout((function(){v.selectAll("tspan").each((function(){var t=n.select(this);t.attr("dy")&&t.attr("dy",t.attr("dy"))}))}),0)},formatSliceLabel:z,transformInsideText:w,determineInsideTextFont:b,positionTitleOutside:C,prerenderTitles:_,layoutAreas:I,attachFxHandlers:x,computeTransform:R}},22152:function(t,e,r){"use strict";var n=r(33428),i=r(10528),a=r(82744).resizeText;t.exports=function(t){var e=t._fullLayout._pielayer.selectAll(".trace");a(t,e,"pie"),e.each((function(e){var r=e[0].trace,a=n.select(this);a.style({opacity:r.opacity}),a.selectAll("path.surface").each((function(e){n.select(this).call(i,e,r,t)}))}))}},10528:function(t,e,r){"use strict";var n=r(76308),i=r(69656).castOption,a=r(21552);t.exports=function(t,e,r,o){var s=r.marker.line,l=i(s.color,e.pts)||n.defaultLine,u=i(s.width,e.pts)||0;t.call(a,e,r,o).style("stroke-width",u).call(n.stroke,l)}},35484:function(t,e,r){"use strict";var n=r(52904);t.exports={x:n.x,y:n.y,xy:{valType:"data_array",editType:"calc"},indices:{valType:"data_array",editType:"calc"},xbounds:{valType:"data_array",editType:"calc"},ybounds:{valType:"data_array",editType:"calc"},text:n.text,marker:{color:{valType:"color",arrayOk:!1,editType:"calc"},opacity:{valType:"number",min:0,max:1,dflt:1,arrayOk:!1,editType:"calc"},blend:{valType:"boolean",dflt:null,editType:"calc"},sizemin:{valType:"number",min:.1,max:2,dflt:.5,editType:"calc"},sizemax:{valType:"number",min:.1,dflt:20,editType:"calc"},border:{color:{valType:"color",arrayOk:!1,editType:"calc"},arearatio:{valType:"number",min:0,max:1,dflt:0,editType:"calc"},editType:"calc"},editType:"calc"},transforms:void 0}},11072:function(t,e,r){"use strict";var n=r(67792).gl_pointcloud2d,i=r(3400).isArrayOrTypedArray,a=r(43080),o=r(19280).findExtremes,s=r(44928);function l(t,e){this.scene=t,this.uid=e,this.type="pointcloud",this.pickXData=[],this.pickYData=[],this.xData=[],this.yData=[],this.textLabels=[],this.color="rgb(0, 0, 0)",this.name="",this.hoverinfo="all",this.idToIndex=new Int32Array(0),this.bounds=[0,0,0,0],this.pointcloudOptions={positions:new Float32Array(0),idToIndex:this.idToIndex,sizemin:.5,sizemax:12,color:[0,0,0,1],areaRatio:1,borderColor:[0,0,0,1]},this.pointcloud=n(t.glplot,this.pointcloudOptions),this.pointcloud._trace=this}var u=l.prototype;u.handlePick=function(t){var e=this.idToIndex[t.pointId];return{trace:this,dataCoord:t.dataCoord,traceCoord:this.pickXYData?[this.pickXYData[2*e],this.pickXYData[2*e+1]]:[this.pickXData[e],this.pickYData[e]],textLabel:i(this.textLabels)?this.textLabels[e]:this.textLabels,color:this.color,name:this.name,pointIndex:e,hoverinfo:this.hoverinfo}},u.update=function(t){this.index=t.index,this.textLabels=t.text,this.name=t.name,this.hoverinfo=t.hoverinfo,this.bounds=[1/0,1/0,-1/0,-1/0],this.updateFast(t),this.color=s(t,{})},u.updateFast=function(t){var e,r,n,i,s,l,u=this.xData=this.pickXData=t.x,c=this.yData=this.pickYData=t.y,f=this.pickXYData=t.xy,h=t.xbounds&&t.ybounds,p=t.indices,d=this.bounds;if(f){if(n=f,e=f.length>>>1,h)d[0]=t.xbounds[0],d[2]=t.xbounds[1],d[1]=t.ybounds[0],d[3]=t.ybounds[1];else for(l=0;ld[2]&&(d[2]=i),sd[3]&&(d[3]=s);if(p)r=p;else for(r=new Int32Array(e),l=0;ld[2]&&(d[2]=i),sd[3]&&(d[3]=s);this.idToIndex=r,this.pointcloudOptions.idToIndex=r,this.pointcloudOptions.positions=n;var 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s(t,e,r,n){this.type="scattermapbox",this.subplot=t,this.uid=e,this.clusterEnabled=r,this.isHidden=n,this.sourceIds={fill:"source-"+e+"-fill",line:"source-"+e+"-line",circle:"source-"+e+"-circle",symbol:"source-"+e+"-symbol",cluster:"source-"+e+"-circle",clusterCount:"source-"+e+"-circle"},this.layerIds={fill:a+e+"-fill",line:a+e+"-line",circle:a+e+"-circle",symbol:a+e+"-symbol",cluster:a+e+"-cluster",clusterCount:a+e+"-cluster-count"},this.below=null}var l=s.prototype;l.addSource=function(t,e,r){var i={type:"geojson",data:e.geojson};r&&r.enabled&&n.extendFlat(i,{cluster:!0,clusterMaxZoom:r.maxzoom});var a=this.subplot.map.getSource(this.sourceIds[t]);a?a.setData(e.geojson):this.subplot.map.addSource(this.sourceIds[t],i)},l.setSourceData=function(t,e){this.subplot.map.getSource(this.sourceIds[t]).setData(e.geojson)},l.addLayer=function(t,e,r){var n={type:e.type,id:this.layerIds[t],source:this.sourceIds[t],layout:e.layout,paint:e.paint};e.filter&&(n.filter=e.filter);for(var i,a=this.layerIds[t],o=this.subplot.getMapLayers(),s=0;s=0;r--){var i=e[r];n.removeLayer(c.layerIds[i])}t||n.removeSource(c.sourceIds.circle)}(t):function(t){for(var e=o.nonCluster,r=e.length-1;r>=0;r--){var i=e[r];n.removeLayer(c.layerIds[i]),t||n.removeSource(c.sourceIds[i])}}(t)}function h(t){l?function(t){t||c.addSource("circle",a.circle,e.cluster);for(var r=o.cluster,n=0;n=0;r--){var n=e[r];t.removeLayer(this.layerIds[n]),t.removeSource(this.sourceIds[n])}},t.exports=function(t,e){var r,n,a,l=e[0].trace,u=l.cluster&&l.cluster.enabled,c=!0!==l.visible,f=new s(t,l.uid,u,c),h=i(t.gd,e),p=f.below=t.belowLookup["trace-"+l.uid];if(u)for(f.addSource("circle",h.circle,l.cluster),r=0;r")}}t.exports={hoverPoints:function(t,e,r,a){var o=n(t,e,r,a);if(o&&!1!==o[0].index){var s=o[0];if(void 0===s.index)return o;var l=t.subplot,u=s.cd[s.index],c=s.trace;if(l.isPtInside(u))return s.xLabelVal=void 0,s.yLabelVal=void 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n=r(47128);t.exports=function(t,e){e.surfacecolor?n(t,e,{vals:e.surfacecolor,containerStr:"",cLetter:"c"}):n(t,e,{vals:e.z,containerStr:"",cLetter:"c"})}},79164:function(t,e,r){"use strict";var n=r(67792).gl_surface3d,i=r(67792).ndarray,a=r(67792).ndarray_linear_interpolate.d2,o=r(70448),s=r(11240),l=r(3400).isArrayOrTypedArray,u=r(33040).parseColorScale,c=r(43080),f=r(8932).extractOpts;function h(t,e,r){this.scene=t,this.uid=r,this.surface=e,this.data=null,this.showContour=[!1,!1,!1],this.contourStart=[null,null,null],this.contourEnd=[null,null,null],this.contourSize=[0,0,0],this.minValues=[1/0,1/0,1/0],this.maxValues=[-1/0,-1/0,-1/0],this.dataScaleX=1,this.dataScaleY=1,this.refineData=!0,this.objectOffset=[0,0,0]}var p=h.prototype;p.getXat=function(t,e,r,n){var i=l(this.data.x)?l(this.data.x[0])?this.data.x[e][t]:this.data.x[t]:t;return void 0===r?i:n.d2l(i,0,r)},p.getYat=function(t,e,r,n){var i=l(this.data.y)?l(this.data.y[0])?this.data.y[e][t]:this.data.y[e]:e;return void 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r=c(e.cells.values),o=function(t){return t.slice(e.header.values.length,t.length)},v=c(e.header.values);v.length&&!v[0].length&&(v[0]=[""],v=c(v));var g=v.concat(o(r).map((function(){return f((v[0]||[""]).length)}))),y=e.domain,m=Math.floor(t._fullLayout._size.w*(y.x[1]-y.x[0])),x=Math.floor(t._fullLayout._size.h*(y.y[1]-y.y[0])),b=e.header.values.length?g[0].map((function(){return e.header.height})):[n.emptyHeaderHeight],_=r.length?r[0].map((function(){return e.cells.height})):[],w=b.reduce(u,0),T=d(_,x-w+n.uplift),k=p(d(b,w),[]),A=p(T,k),M={},S=e._fullInput.columnorder;s(S)&&(S=Array.from(S)),S=S.concat(o(r.map((function(t,e){return e}))));var E=g.map((function(t,r){var n=s(e.columnwidth)?e.columnwidth[Math.min(r,e.columnwidth.length-1)]:e.columnwidth;return a(n)?Number(n):1})),L=E.reduce(u,0);E=E.map((function(t){return t/L*m}));var C=Math.max(l(e.header.line.width),l(e.cells.line.width)),P={key:e.uid+t._context.staticPlot,translateX:y.x[0]*t._fullLayout._size.w,translateY:t._fullLayout._size.h*(1-y.y[1]),size:t._fullLayout._size,width:m,maxLineWidth:C,height:x,columnOrder:S,groupHeight:x,rowBlocks:A,headerRowBlocks:k,scrollY:0,cells:i({},e.cells,{values:r}),headerCells:i({},e.header,{values:g}),gdColumns:g.map((function(t){return t[0]})),gdColumnsOriginalOrder:g.map((function(t){return t[0]})),prevPages:[0,0],scrollbarState:{scrollbarScrollInProgress:!1},columns:g.map((function(t,e){var r=M[t];return M[t]=(r||0)+1,{key:t+"__"+M[t],label:t,specIndex:e,xIndex:S[e],xScale:h,x:void 0,calcdata:void 0,columnWidth:E[e]}}))};return P.columns.forEach((function(t){t.calcdata=P,t.x=h(t)})),P}},53056:function(t,e,r){"use strict";var n=r(92880).extendFlat;e.splitToPanels=function(t){var e=[0,0],r=n({},t,{key:"header",type:"header",page:0,prevPages:e,currentRepaint:[null,null],dragHandle:!0,values:t.calcdata.headerCells.values[t.specIndex],rowBlocks:t.calcdata.headerRowBlocks,calcdata:n({},t.calcdata,{cells:t.calcdata.headerCells})});return[n({},t,{key:"cells1",type:"cells",page:0,prevPages:e,currentRepaint:[null,null],dragHandle:!1,values:t.calcdata.cells.values[t.specIndex],rowBlocks:t.calcdata.rowBlocks}),n({},t,{key:"cells2",type:"cells",page:1,prevPages:e,currentRepaint:[null,null],dragHandle:!1,values:t.calcdata.cells.values[t.specIndex],rowBlocks:t.calcdata.rowBlocks}),r]},e.splitToCells=function(t){var e=function(t){var e=t.rowBlocks[t.page],r=e?e.rows[0].rowIndex:0;return[r,e?r+e.rows.length:0]}(t);return(t.values||[]).slice(e[0],e[1]).map((function(r,n){return{keyWithinBlock:n+("string"==typeof r&&r.match(/[<$&> 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f,h,p=c?"":k(t.calcdata.cells.prefix,e,r)||"",d=c?"":k(t.calcdata.cells.suffix,e,r)||"",v=c?null:k(t.calcdata.cells.format,e,r)||null,g=p+(v?o(v)(t.value):t.value)+d;if(t.wrappingNeeded=!t.wrapped&&!l&&!c&&(f=T(g)),t.cellHeightMayIncrease=s||c||t.mayHaveMarkup||(void 0===f?T(g):f),t.needsConvertToTspans=t.mayHaveMarkup||t.wrappingNeeded||t.latex,t.wrappingNeeded){var y=(" "===n.wrapSplitCharacter?g.replace(/i&&n.push(a),i+=l}return n}(i,l,s);1===u.length&&(u[0]===i.length-1?u.unshift(u[0]-1):u.push(u[0]+1)),u[0]%2&&u.reverse(),e.each((function(t,e){t.page=u[e],t.scrollY=l})),e.attr("transform",(function(t){var e=R(t.rowBlocks,t.page)-t.scrollY;return f(0,e)})),t&&(P(t,r,e,u,n.prevPages,n,0),P(t,r,e,u,n.prevPages,n,1),b(r,t))}}function C(t,e,r,a){return function(o){var s=o.calcdata?o.calcdata:o,l=e.filter((function(t){return s.key===t.key})),u=r||s.scrollbarState.dragMultiplier,c=s.scrollY;s.scrollY=void 0===a?s.scrollY+u*i.event.dy:a;var 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t&&t>=0);var e=0|Math.ceil(t/26),r=t%26;this._expand(e),r>0&&e--;for(var i=0;i0&&(this.words[i]=~this.words[i]&67108863>>26-r),this.strip()},a.prototype.notn=function(t){return this.clone().inotn(t)},a.prototype.setn=function(t,e){n("number"==typeof t&&t>=0);var r=t/26|0,i=t%26;return this._expand(r+1),this.words[r]=e?this.words[r]|1<t.length?(r=this,n=t):(r=t,n=this);for(var i=0,a=0;a>>26;for(;0!==i&&a>>26;if(this.length=r.length,0!==i)this.words[this.length]=i,this.length++;else if(r!==this)for(;at.length?this.clone().iadd(t):t.clone().iadd(this)},a.prototype.isub=function(t){if(0!==t.negative){t.negative=0;var e=this.iadd(t);return t.negative=1,e._normSign()}if(0!==this.negative)return this.negative=0,this.iadd(t),this.negative=1,this._normSign();var r,n,i=this.cmp(t);if(0===i)return this.negative=0,this.length=1,this.words[0]=0,this;i>0?(r=this,n=t):(r=t,n=this);for(var 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yt=(u+(n=n+Math.imul(f,H)|0)|0)+((8191&(i=(i=i+Math.imul(f,G)|0)+Math.imul(h,H)|0))<<13)|0;u=((a=a+Math.imul(h,G)|0)+(i>>>13)|0)+(yt>>>26)|0,yt&=67108863,n=Math.imul(y,U),i=(i=Math.imul(y,V))+Math.imul(m,U)|0,a=Math.imul(m,V),n=n+Math.imul(d,H)|0,i=(i=i+Math.imul(d,G)|0)+Math.imul(v,H)|0,a=a+Math.imul(v,G)|0;var mt=(u+(n=n+Math.imul(f,Y)|0)|0)+((8191&(i=(i=i+Math.imul(f,X)|0)+Math.imul(h,Y)|0))<<13)|0;u=((a=a+Math.imul(h,X)|0)+(i>>>13)|0)+(mt>>>26)|0,mt&=67108863,n=Math.imul(b,U),i=(i=Math.imul(b,V))+Math.imul(_,U)|0,a=Math.imul(_,V),n=n+Math.imul(y,H)|0,i=(i=i+Math.imul(y,G)|0)+Math.imul(m,H)|0,a=a+Math.imul(m,G)|0,n=n+Math.imul(d,Y)|0,i=(i=i+Math.imul(d,X)|0)+Math.imul(v,Y)|0,a=a+Math.imul(v,X)|0;var xt=(u+(n=n+Math.imul(f,K)|0)|0)+((8191&(i=(i=i+Math.imul(f,J)|0)+Math.imul(h,K)|0))<<13)|0;u=((a=a+Math.imul(h,J)|0)+(i>>>13)|0)+(xt>>>26)|0,xt&=67108863,n=Math.imul(T,U),i=(i=Math.imul(T,V))+Math.imul(k,U)|0,a=Math.imul(k,V),n=n+Math.imul(b,H)|0,i=(i=i+Math.imul(b,G)|0)+Math.imul(_,H)|0,a=a+Math.imul(_,G)|0,n=n+Math.imul(y,Y)|0,i=(i=i+Math.imul(y,X)|0)+Math.imul(m,Y)|0,a=a+Math.imul(m,X)|0,n=n+Math.imul(d,K)|0,i=(i=i+Math.imul(d,J)|0)+Math.imul(v,K)|0,a=a+Math.imul(v,J)|0;var bt=(u+(n=n+Math.imul(f,Q)|0)|0)+((8191&(i=(i=i+Math.imul(f,tt)|0)+Math.imul(h,Q)|0))<<13)|0;u=((a=a+Math.imul(h,tt)|0)+(i>>>13)|0)+(bt>>>26)|0,bt&=67108863,n=Math.imul(M,U),i=(i=Math.imul(M,V))+Math.imul(S,U)|0,a=Math.imul(S,V),n=n+Math.imul(T,H)|0,i=(i=i+Math.imul(T,G)|0)+Math.imul(k,H)|0,a=a+Math.imul(k,G)|0,n=n+Math.imul(b,Y)|0,i=(i=i+Math.imul(b,X)|0)+Math.imul(_,Y)|0,a=a+Math.imul(_,X)|0,n=n+Math.imul(y,K)|0,i=(i=i+Math.imul(y,J)|0)+Math.imul(m,K)|0,a=a+Math.imul(m,J)|0,n=n+Math.imul(d,Q)|0,i=(i=i+Math.imul(d,tt)|0)+Math.imul(v,Q)|0,a=a+Math.imul(v,tt)|0;var _t=(u+(n=n+Math.imul(f,rt)|0)|0)+((8191&(i=(i=i+Math.imul(f,nt)|0)+Math.imul(h,rt)|0))<<13)|0;u=((a=a+Math.imul(h,nt)|0)+(i>>>13)|0)+(_t>>>26)|0,_t&=67108863,n=Math.imul(L,U),i=(i=Math.imul(L,V))+Math.imul(C,U)|0,a=Math.imul(C,V),n=n+Math.imul(M,H)|0,i=(i=i+Math.imul(M,G)|0)+Math.imul(S,H)|0,a=a+Math.imul(S,G)|0,n=n+Math.imul(T,Y)|0,i=(i=i+Math.imul(T,X)|0)+Math.imul(k,Y)|0,a=a+Math.imul(k,X)|0,n=n+Math.imul(b,K)|0,i=(i=i+Math.imul(b,J)|0)+Math.imul(_,K)|0,a=a+Math.imul(_,J)|0,n=n+Math.imul(y,Q)|0,i=(i=i+Math.imul(y,tt)|0)+Math.imul(m,Q)|0,a=a+Math.imul(m,tt)|0,n=n+Math.imul(d,rt)|0,i=(i=i+Math.imul(d,nt)|0)+Math.imul(v,rt)|0,a=a+Math.imul(v,nt)|0;var wt=(u+(n=n+Math.imul(f,at)|0)|0)+((8191&(i=(i=i+Math.imul(f,ot)|0)+Math.imul(h,at)|0))<<13)|0;u=((a=a+Math.imul(h,ot)|0)+(i>>>13)|0)+(wt>>>26)|0,wt&=67108863,n=Math.imul(O,U),i=(i=Math.imul(O,V))+Math.imul(I,U)|0,a=Math.imul(I,V),n=n+Math.imul(L,H)|0,i=(i=i+Math.imul(L,G)|0)+Math.imul(C,H)|0,a=a+Math.imul(C,G)|0,n=n+Math.imul(M,Y)|0,i=(i=i+Math.imul(M,X)|0)+Math.imul(S,Y)|0,a=a+Math.imul(S,X)|0,n=n+Math.imul(T,K)|0,i=(i=i+Math.imul(T,J)|0)+Math.imul(k,K)|0,a=a+Math.imul(k,J)|0,n=n+Math.imul(b,Q)|0,i=(i=i+Math.imul(b,tt)|0)+Math.imul(_,Q)|0,a=a+Math.imul(_,tt)|0,n=n+Math.imul(y,rt)|0,i=(i=i+Math.imul(y,nt)|0)+Math.imul(m,rt)|0,a=a+Math.imul(m,nt)|0,n=n+Math.imul(d,at)|0,i=(i=i+Math.imul(d,ot)|0)+Math.imul(v,at)|0,a=a+Math.imul(v,ot)|0;var Tt=(u+(n=n+Math.imul(f,lt)|0)|0)+((8191&(i=(i=i+Math.imul(f,ut)|0)+Math.imul(h,lt)|0))<<13)|0;u=((a=a+Math.imul(h,ut)|0)+(i>>>13)|0)+(Tt>>>26)|0,Tt&=67108863,n=Math.imul(z,U),i=(i=Math.imul(z,V))+Math.imul(R,U)|0,a=Math.imul(R,V),n=n+Math.imul(O,H)|0,i=(i=i+Math.imul(O,G)|0)+Math.imul(I,H)|0,a=a+Math.imul(I,G)|0,n=n+Math.imul(L,Y)|0,i=(i=i+Math.imul(L,X)|0)+Math.imul(C,Y)|0,a=a+Math.imul(C,X)|0,n=n+Math.imul(M,K)|0,i=(i=i+Math.imul(M,J)|0)+Math.imul(S,K)|0,a=a+Math.imul(S,J)|0,n=n+Math.imul(T,Q)|0,i=(i=i+Math.imul(T,tt)|0)+Math.imul(k,Q)|0,a=a+Math.imul(k,tt)|0,n=n+Math.imul(b,rt)|0,i=(i=i+Math.imul(b,nt)|0)+Math.imul(_,rt)|0,a=a+Math.imul(_,nt)|0,n=n+Math.imul(y,at)|0,i=(i=i+Math.imul(y,ot)|0)+Math.imul(m,at)|0,a=a+Math.imul(m,ot)|0,n=n+Math.imul(d,lt)|0,i=(i=i+Math.imul(d,ut)|0)+Math.imul(v,lt)|0,a=a+Math.imul(v,ut)|0;var kt=(u+(n=n+Math.imul(f,ft)|0)|0)+((8191&(i=(i=i+Math.imul(f,ht)|0)+Math.imul(h,ft)|0))<<13)|0;u=((a=a+Math.imul(h,ht)|0)+(i>>>13)|0)+(kt>>>26)|0,kt&=67108863,n=Math.imul(B,U),i=(i=Math.imul(B,V))+Math.imul(N,U)|0,a=Math.imul(N,V),n=n+Math.imul(z,H)|0,i=(i=i+Math.imul(z,G)|0)+Math.imul(R,H)|0,a=a+Math.imul(R,G)|0,n=n+Math.imul(O,Y)|0,i=(i=i+Math.imul(O,X)|0)+Math.imul(I,Y)|0,a=a+Math.imul(I,X)|0,n=n+Math.imul(L,K)|0,i=(i=i+Math.imul(L,J)|0)+Math.imul(C,K)|0,a=a+Math.imul(C,J)|0,n=n+Math.imul(M,Q)|0,i=(i=i+Math.imul(M,tt)|0)+Math.imul(S,Q)|0,a=a+Math.imul(S,tt)|0,n=n+Math.imul(T,rt)|0,i=(i=i+Math.imul(T,nt)|0)+Math.imul(k,rt)|0,a=a+Math.imul(k,nt)|0,n=n+Math.imul(b,at)|0,i=(i=i+Math.imul(b,ot)|0)+Math.imul(_,at)|0,a=a+Math.imul(_,ot)|0,n=n+Math.imul(y,lt)|0,i=(i=i+Math.imul(y,ut)|0)+Math.imul(m,lt)|0,a=a+Math.imul(m,ut)|0,n=n+Math.imul(d,ft)|0,i=(i=i+Math.imul(d,ht)|0)+Math.imul(v,ft)|0,a=a+Math.imul(v,ht)|0;var At=(u+(n=n+Math.imul(f,dt)|0)|0)+((8191&(i=(i=i+Math.imul(f,vt)|0)+Math.imul(h,dt)|0))<<13)|0;u=((a=a+Math.imul(h,vt)|0)+(i>>>13)|0)+(At>>>26)|0,At&=67108863,n=Math.imul(B,H),i=(i=Math.imul(B,G))+Math.imul(N,H)|0,a=Math.imul(N,G),n=n+Math.imul(z,Y)|0,i=(i=i+Math.imul(z,X)|0)+Math.imul(R,Y)|0,a=a+Math.imul(R,X)|0,n=n+Math.imul(O,K)|0,i=(i=i+Math.imul(O,J)|0)+Math.imul(I,K)|0,a=a+Math.imul(I,J)|0,n=n+Math.imul(L,Q)|0,i=(i=i+Math.imul(L,tt)|0)+Math.imul(C,Q)|0,a=a+Math.imul(C,tt)|0,n=n+Math.imul(M,rt)|0,i=(i=i+Math.imul(M,nt)|0)+Math.imul(S,rt)|0,a=a+Math.imul(S,nt)|0,n=n+Math.imul(T,at)|0,i=(i=i+Math.imul(T,ot)|0)+Math.imul(k,at)|0,a=a+Math.imul(k,ot)|0,n=n+Math.imul(b,lt)|0,i=(i=i+Math.imul(b,ut)|0)+Math.imul(_,lt)|0,a=a+Math.imul(_,ut)|0,n=n+Math.imul(y,ft)|0,i=(i=i+Math.imul(y,ht)|0)+Math.imul(m,ft)|0,a=a+Math.imul(m,ht)|0;var Mt=(u+(n=n+Math.imul(d,dt)|0)|0)+((8191&(i=(i=i+Math.imul(d,vt)|0)+Math.imul(v,dt)|0))<<13)|0;u=((a=a+Math.imul(v,vt)|0)+(i>>>13)|0)+(Mt>>>26)|0,Mt&=67108863,n=Math.imul(B,Y),i=(i=Math.imul(B,X))+Math.imul(N,Y)|0,a=Math.imul(N,X),n=n+Math.imul(z,K)|0,i=(i=i+Math.imul(z,J)|0)+Math.imul(R,K)|0,a=a+Math.imul(R,J)|0,n=n+Math.imul(O,Q)|0,i=(i=i+Math.imul(O,tt)|0)+Math.imul(I,Q)|0,a=a+Math.imul(I,tt)|0,n=n+Math.imul(L,rt)|0,i=(i=i+Math.imul(L,nt)|0)+Math.imul(C,rt)|0,a=a+Math.imul(C,nt)|0,n=n+Math.imul(M,at)|0,i=(i=i+Math.imul(M,ot)|0)+Math.imul(S,at)|0,a=a+Math.imul(S,ot)|0,n=n+Math.imul(T,lt)|0,i=(i=i+Math.imul(T,ut)|0)+Math.imul(k,lt)|0,a=a+Math.imul(k,ut)|0,n=n+Math.imul(b,ft)|0,i=(i=i+Math.imul(b,ht)|0)+Math.imul(_,ft)|0,a=a+Math.imul(_,ht)|0;var St=(u+(n=n+Math.imul(y,dt)|0)|0)+((8191&(i=(i=i+Math.imul(y,vt)|0)+Math.imul(m,dt)|0))<<13)|0;u=((a=a+Math.imul(m,vt)|0)+(i>>>13)|0)+(St>>>26)|0,St&=67108863,n=Math.imul(B,K),i=(i=Math.imul(B,J))+Math.imul(N,K)|0,a=Math.imul(N,J),n=n+Math.imul(z,Q)|0,i=(i=i+Math.imul(z,tt)|0)+Math.imul(R,Q)|0,a=a+Math.imul(R,tt)|0,n=n+Math.imul(O,rt)|0,i=(i=i+Math.imul(O,nt)|0)+Math.imul(I,rt)|0,a=a+Math.imul(I,nt)|0,n=n+Math.imul(L,at)|0,i=(i=i+Math.imul(L,ot)|0)+Math.imul(C,at)|0,a=a+Math.imul(C,ot)|0,n=n+Math.imul(M,lt)|0,i=(i=i+Math.imul(M,ut)|0)+Math.imul(S,lt)|0,a=a+Math.imul(S,ut)|0,n=n+Math.imul(T,ft)|0,i=(i=i+Math.imul(T,ht)|0)+Math.imul(k,ft)|0,a=a+Math.imul(k,ht)|0;var Et=(u+(n=n+Math.imul(b,dt)|0)|0)+((8191&(i=(i=i+Math.imul(b,vt)|0)+Math.imul(_,dt)|0))<<13)|0;u=((a=a+Math.imul(_,vt)|0)+(i>>>13)|0)+(Et>>>26)|0,Et&=67108863,n=Math.imul(B,Q),i=(i=Math.imul(B,tt))+Math.imul(N,Q)|0,a=Math.imul(N,tt),n=n+Math.imul(z,rt)|0,i=(i=i+Math.imul(z,nt)|0)+Math.imul(R,rt)|0,a=a+Math.imul(R,nt)|0,n=n+Math.imul(O,at)|0,i=(i=i+Math.imul(O,ot)|0)+Math.imul(I,at)|0,a=a+Math.imul(I,ot)|0,n=n+Math.imul(L,lt)|0,i=(i=i+Math.imul(L,ut)|0)+Math.imul(C,lt)|0,a=a+Math.imul(C,ut)|0,n=n+Math.imul(M,ft)|0,i=(i=i+Math.imul(M,ht)|0)+Math.imul(S,ft)|0,a=a+Math.imul(S,ht)|0;var Lt=(u+(n=n+Math.imul(T,dt)|0)|0)+((8191&(i=(i=i+Math.imul(T,vt)|0)+Math.imul(k,dt)|0))<<13)|0;u=((a=a+Math.imul(k,vt)|0)+(i>>>13)|0)+(Lt>>>26)|0,Lt&=67108863,n=Math.imul(B,rt),i=(i=Math.imul(B,nt))+Math.imul(N,rt)|0,a=Math.imul(N,nt),n=n+Math.imul(z,at)|0,i=(i=i+Math.imul(z,ot)|0)+Math.imul(R,at)|0,a=a+Math.imul(R,ot)|0,n=n+Math.imul(O,lt)|0,i=(i=i+Math.imul(O,ut)|0)+Math.imul(I,lt)|0,a=a+Math.imul(I,ut)|0,n=n+Math.imul(L,ft)|0,i=(i=i+Math.imul(L,ht)|0)+Math.imul(C,ft)|0,a=a+Math.imul(C,ht)|0;var Ct=(u+(n=n+Math.imul(M,dt)|0)|0)+((8191&(i=(i=i+Math.imul(M,vt)|0)+Math.imul(S,dt)|0))<<13)|0;u=((a=a+Math.imul(S,vt)|0)+(i>>>13)|0)+(Ct>>>26)|0,Ct&=67108863,n=Math.imul(B,at),i=(i=Math.imul(B,ot))+Math.imul(N,at)|0,a=Math.imul(N,ot),n=n+Math.imul(z,lt)|0,i=(i=i+Math.imul(z,ut)|0)+Math.imul(R,lt)|0,a=a+Math.imul(R,ut)|0,n=n+Math.imul(O,ft)|0,i=(i=i+Math.imul(O,ht)|0)+Math.imul(I,ft)|0,a=a+Math.imul(I,ht)|0;var Pt=(u+(n=n+Math.imul(L,dt)|0)|0)+((8191&(i=(i=i+Math.imul(L,vt)|0)+Math.imul(C,dt)|0))<<13)|0;u=((a=a+Math.imul(C,vt)|0)+(i>>>13)|0)+(Pt>>>26)|0,Pt&=67108863,n=Math.imul(B,lt),i=(i=Math.imul(B,ut))+Math.imul(N,lt)|0,a=Math.imul(N,ut),n=n+Math.imul(z,ft)|0,i=(i=i+Math.imul(z,ht)|0)+Math.imul(R,ft)|0,a=a+Math.imul(R,ht)|0;var Ot=(u+(n=n+Math.imul(O,dt)|0)|0)+((8191&(i=(i=i+Math.imul(O,vt)|0)+Math.imul(I,dt)|0))<<13)|0;u=((a=a+Math.imul(I,vt)|0)+(i>>>13)|0)+(Ot>>>26)|0,Ot&=67108863,n=Math.imul(B,ft),i=(i=Math.imul(B,ht))+Math.imul(N,ft)|0,a=Math.imul(N,ht);var It=(u+(n=n+Math.imul(z,dt)|0)|0)+((8191&(i=(i=i+Math.imul(z,vt)|0)+Math.imul(R,dt)|0))<<13)|0;u=((a=a+Math.imul(R,vt)|0)+(i>>>13)|0)+(It>>>26)|0,It&=67108863;var Dt=(u+(n=Math.imul(B,dt))|0)+((8191&(i=(i=Math.imul(B,vt))+Math.imul(N,dt)|0))<<13)|0;return u=((a=Math.imul(N,vt))+(i>>>13)|0)+(Dt>>>26)|0,Dt&=67108863,l[0]=gt,l[1]=yt,l[2]=mt,l[3]=xt,l[4]=bt,l[5]=_t,l[6]=wt,l[7]=Tt,l[8]=kt,l[9]=At,l[10]=Mt,l[11]=St,l[12]=Et,l[13]=Lt,l[14]=Ct,l[15]=Pt,l[16]=Ot,l[17]=It,l[18]=Dt,0!==u&&(l[19]=u,r.length++),r};function v(t,e,r){return(new g).mulp(t,e,r)}function g(t,e){this.x=t,this.y=e}Math.imul||(d=p),a.prototype.mulTo=function(t,e){var r,n=this.length+t.length;return r=10===this.length&&10===t.length?d(this,t,e):n<63?p(this,t,e):n<1024?function(t,e,r){r.negative=e.negative^t.negative,r.length=t.length+e.length;for(var n=0,i=0,a=0;a>>26)|0)>>>26,o&=67108863}r.words[a]=s,n=o,o=i}return 0!==n?r.words[a]=n:r.length--,r.strip()}(this,t,e):v(this,t,e),r},g.prototype.makeRBT=function(t){for(var e=new Array(t),r=a.prototype._countBits(t)-1,n=0;n>=1;return n},g.prototype.permute=function(t,e,r,n,i,a){for(var o=0;o>>=1)i++;return 1<>>=13,r[2*o+1]=8191&a,a>>>=13;for(o=2*e;o>=26,e+=i/67108864|0,e+=a>>>26,this.words[r]=67108863&a}return 0!==e&&(this.words[r]=e,this.length++),this},a.prototype.muln=function(t){return this.clone().imuln(t)},a.prototype.sqr=function(){return this.mul(this)},a.prototype.isqr=function(){return this.imul(this.clone())},a.prototype.pow=function(t){var e=function(t){for(var e=new Array(t.bitLength()),r=0;r>>i}return e}(t);if(0===e.length)return new a(1);for(var r=this,n=0;n=0);var e,r=t%26,i=(t-r)/26,a=67108863>>>26-r<<26-r;if(0!==r){var o=0;for(e=0;e>>26-r}o&&(this.words[e]=o,this.length++)}if(0!==i){for(e=this.length-1;e>=0;e--)this.words[e+i]=this.words[e];for(e=0;e=0),i=e?(e-e%26)/26:0;var a=t%26,o=Math.min((t-a)/26,this.length),s=67108863^67108863>>>a<o)for(this.length-=o,u=0;u=0&&(0!==c||u>=i);u--){var f=0|this.words[u];this.words[u]=c<<26-a|f>>>a,c=f&s}return l&&0!==c&&(l.words[l.length++]=c),0===this.length&&(this.words[0]=0,this.length=1),this.strip()},a.prototype.ishrn=function(t,e,r){return n(0===this.negative),this.iushrn(t,e,r)},a.prototype.shln=function(t){return this.clone().ishln(t)},a.prototype.ushln=function(t){return this.clone().iushln(t)},a.prototype.shrn=function(t){return this.clone().ishrn(t)},a.prototype.ushrn=function(t){return this.clone().iushrn(t)},a.prototype.testn=function(t){n("number"==typeof t&&t>=0);var e=t%26,r=(t-e)/26,i=1<=0);var e=t%26,r=(t-e)/26;if(n(0===this.negative,"imaskn works only with positive numbers"),this.length<=r)return this;if(0!==e&&r++,this.length=Math.min(r,this.length),0!==e){var i=67108863^67108863>>>e<=67108864;e++)this.words[e]-=67108864,e===this.length-1?this.words[e+1]=1:this.words[e+1]++;return this.length=Math.max(this.length,e+1),this},a.prototype.isubn=function(t){if(n("number"==typeof t),n(t<67108864),t<0)return this.iaddn(-t);if(0!==this.negative)return this.negative=0,this.iaddn(t),this.negative=1,this;if(this.words[0]-=t,1===this.length&&this.words[0]<0)this.words[0]=-this.words[0],this.negative=1;else for(var e=0;e>26)-(l/67108864|0),this.words[i+r]=67108863&a}for(;i>26,this.words[i+r]=67108863&a;if(0===s)return this.strip();for(n(-1===s),s=0,i=0;i>26,this.words[i]=67108863&a;return this.negative=1,this.strip()},a.prototype._wordDiv=function(t,e){var r=(this.length,t.length),n=this.clone(),i=t,o=0|i.words[i.length-1];0!=(r=26-this._countBits(o))&&(i=i.ushln(r),n.iushln(r),o=0|i.words[i.length-1]);var s,l=n.length-i.length;if("mod"!==e){(s=new a(null)).length=l+1,s.words=new Array(s.length);for(var u=0;u=0;f--){var h=67108864*(0|n.words[i.length+f])+(0|n.words[i.length+f-1]);for(h=Math.min(h/o|0,67108863),n._ishlnsubmul(i,h,f);0!==n.negative;)h--,n.negative=0,n._ishlnsubmul(i,1,f),n.isZero()||(n.negative^=1);s&&(s.words[f]=h)}return s&&s.strip(),n.strip(),"div"!==e&&0!==r&&n.iushrn(r),{div:s||null,mod:n}},a.prototype.divmod=function(t,e,r){return n(!t.isZero()),this.isZero()?{div:new a(0),mod:new a(0)}:0!==this.negative&&0===t.negative?(s=this.neg().divmod(t,e),"mod"!==e&&(i=s.div.neg()),"div"!==e&&(o=s.mod.neg(),r&&0!==o.negative&&o.iadd(t)),{div:i,mod:o}):0===this.negative&&0!==t.negative?(s=this.divmod(t.neg(),e),"mod"!==e&&(i=s.div.neg()),{div:i,mod:s.mod}):0!=(this.negative&t.negative)?(s=this.neg().divmod(t.neg(),e),"div"!==e&&(o=s.mod.neg(),r&&0!==o.negative&&o.isub(t)),{div:s.div,mod:o}):t.length>this.length||this.cmp(t)<0?{div:new a(0),mod:this}:1===t.length?"div"===e?{div:this.divn(t.words[0]),mod:null}:"mod"===e?{div:null,mod:new a(this.modn(t.words[0]))}:{div:this.divn(t.words[0]),mod:new a(this.modn(t.words[0]))}:this._wordDiv(t,e);var i,o,s},a.prototype.div=function(t){return this.divmod(t,"div",!1).div},a.prototype.mod=function(t){return this.divmod(t,"mod",!1).mod},a.prototype.umod=function(t){return this.divmod(t,"mod",!0).mod},a.prototype.divRound=function(t){var e=this.divmod(t);if(e.mod.isZero())return e.div;var r=0!==e.div.negative?e.mod.isub(t):e.mod,n=t.ushrn(1),i=t.andln(1),a=r.cmp(n);return a<0||1===i&&0===a?e.div:0!==e.div.negative?e.div.isubn(1):e.div.iaddn(1)},a.prototype.modn=function(t){n(t<=67108863);for(var e=(1<<26)%t,r=0,i=this.length-1;i>=0;i--)r=(e*r+(0|this.words[i]))%t;return r},a.prototype.idivn=function(t){n(t<=67108863);for(var e=0,r=this.length-1;r>=0;r--){var i=(0|this.words[r])+67108864*e;this.words[r]=i/t|0,e=i%t}return this.strip()},a.prototype.divn=function(t){return this.clone().idivn(t)},a.prototype.egcd=function(t){n(0===t.negative),n(!t.isZero());var e=this,r=t.clone();e=0!==e.negative?e.umod(t):e.clone();for(var i=new a(1),o=new a(0),s=new a(0),l=new a(1),u=0;e.isEven()&&r.isEven();)e.iushrn(1),r.iushrn(1),++u;for(var c=r.clone(),f=e.clone();!e.isZero();){for(var h=0,p=1;0==(e.words[0]&p)&&h<26;++h,p<<=1);if(h>0)for(e.iushrn(h);h-- >0;)(i.isOdd()||o.isOdd())&&(i.iadd(c),o.isub(f)),i.iushrn(1),o.iushrn(1);for(var d=0,v=1;0==(r.words[0]&v)&&d<26;++d,v<<=1);if(d>0)for(r.iushrn(d);d-- >0;)(s.isOdd()||l.isOdd())&&(s.iadd(c),l.isub(f)),s.iushrn(1),l.iushrn(1);e.cmp(r)>=0?(e.isub(r),i.isub(s),o.isub(l)):(r.isub(e),s.isub(i),l.isub(o))}return{a:s,b:l,gcd:r.iushln(u)}},a.prototype._invmp=function(t){n(0===t.negative),n(!t.isZero());var e=this,r=t.clone();e=0!==e.negative?e.umod(t):e.clone();for(var i,o=new a(1),s=new a(0),l=r.clone();e.cmpn(1)>0&&r.cmpn(1)>0;){for(var u=0,c=1;0==(e.words[0]&c)&&u<26;++u,c<<=1);if(u>0)for(e.iushrn(u);u-- >0;)o.isOdd()&&o.iadd(l),o.iushrn(1);for(var f=0,h=1;0==(r.words[0]&h)&&f<26;++f,h<<=1);if(f>0)for(r.iushrn(f);f-- >0;)s.isOdd()&&s.iadd(l),s.iushrn(1);e.cmp(r)>=0?(e.isub(r),o.isub(s)):(r.isub(e),s.isub(o))}return(i=0===e.cmpn(1)?o:s).cmpn(0)<0&&i.iadd(t),i},a.prototype.gcd=function(t){if(this.isZero())return t.abs();if(t.isZero())return this.abs();var e=this.clone(),r=t.clone();e.negative=0,r.negative=0;for(var n=0;e.isEven()&&r.isEven();n++)e.iushrn(1),r.iushrn(1);for(;;){for(;e.isEven();)e.iushrn(1);for(;r.isEven();)r.iushrn(1);var i=e.cmp(r);if(i<0){var a=e;e=r,r=a}else if(0===i||0===r.cmpn(1))break;e.isub(r)}return r.iushln(n)},a.prototype.invm=function(t){return this.egcd(t).a.umod(t)},a.prototype.isEven=function(){return 0==(1&this.words[0])},a.prototype.isOdd=function(){return 1==(1&this.words[0])},a.prototype.andln=function(t){return this.words[0]&t},a.prototype.bincn=function(t){n("number"==typeof t);var e=t%26,r=(t-e)/26,i=1<>>26,s&=67108863,this.words[o]=s}return 0!==a&&(this.words[o]=a,this.length++),this},a.prototype.isZero=function(){return 1===this.length&&0===this.words[0]},a.prototype.cmpn=function(t){var e,r=t<0;if(0!==this.negative&&!r)return-1;if(0===this.negative&&r)return 1;if(this.strip(),this.length>1)e=1;else{r&&(t=-t),n(t<=67108863,"Number is too big");var i=0|this.words[0];e=i===t?0:it.length)return 1;if(this.length=0;r--){var n=0|this.words[r],i=0|t.words[r];if(n!==i){ni&&(e=1);break}}return e},a.prototype.gtn=function(t){return 1===this.cmpn(t)},a.prototype.gt=function(t){return 1===this.cmp(t)},a.prototype.gten=function(t){return this.cmpn(t)>=0},a.prototype.gte=function(t){return this.cmp(t)>=0},a.prototype.ltn=function(t){return-1===this.cmpn(t)},a.prototype.lt=function(t){return-1===this.cmp(t)},a.prototype.lten=function(t){return this.cmpn(t)<=0},a.prototype.lte=function(t){return this.cmp(t)<=0},a.prototype.eqn=function(t){return 0===this.cmpn(t)},a.prototype.eq=function(t){return 0===this.cmp(t)},a.red=function(t){return new T(t)},a.prototype.toRed=function(t){return n(!this.red,"Already a number in reduction context"),n(0===this.negative,"red works only with positives"),t.convertTo(this)._forceRed(t)},a.prototype.fromRed=function(){return n(this.red,"fromRed works only with numbers in reduction context"),this.red.convertFrom(this)},a.prototype._forceRed=function(t){return this.red=t,this},a.prototype.forceRed=function(t){return n(!this.red,"Already a number in reduction context"),this._forceRed(t)},a.prototype.redAdd=function(t){return n(this.red,"redAdd works only with red numbers"),this.red.add(this,t)},a.prototype.redIAdd=function(t){return n(this.red,"redIAdd works only with red numbers"),this.red.iadd(this,t)},a.prototype.redSub=function(t){return n(this.red,"redSub works only with red numbers"),this.red.sub(this,t)},a.prototype.redISub=function(t){return n(this.red,"redISub works only with red numbers"),this.red.isub(this,t)},a.prototype.redShl=function(t){return n(this.red,"redShl works only with red numbers"),this.red.shl(this,t)},a.prototype.redMul=function(t){return n(this.red,"redMul works only with red numbers"),this.red._verify2(this,t),this.red.mul(this,t)},a.prototype.redIMul=function(t){return n(this.red,"redMul works only with red numbers"),this.red._verify2(this,t),this.red.imul(this,t)},a.prototype.redSqr=function(){return n(this.red,"redSqr works only with red numbers"),this.red._verify1(this),this.red.sqr(this)},a.prototype.redISqr=function(){return n(this.red,"redISqr works only with red numbers"),this.red._verify1(this),this.red.isqr(this)},a.prototype.redSqrt=function(){return n(this.red,"redSqrt works only with red numbers"),this.red._verify1(this),this.red.sqrt(this)},a.prototype.redInvm=function(){return n(this.red,"redInvm works only with red numbers"),this.red._verify1(this),this.red.invm(this)},a.prototype.redNeg=function(){return n(this.red,"redNeg works only with red numbers"),this.red._verify1(this),this.red.neg(this)},a.prototype.redPow=function(t){return n(this.red&&!t.red,"redPow(normalNum)"),this.red._verify1(this),this.red.pow(this,t)};var y={k256:null,p224:null,p192:null,p25519:null};function m(t,e){this.name=t,this.p=new a(e,16),this.n=this.p.bitLength(),this.k=new a(1).iushln(this.n).isub(this.p),this.tmp=this._tmp()}function x(){m.call(this,"k256","ffffffff ffffffff ffffffff ffffffff ffffffff ffffffff fffffffe fffffc2f")}function b(){m.call(this,"p224","ffffffff ffffffff ffffffff ffffffff 00000000 00000000 00000001")}function _(){m.call(this,"p192","ffffffff ffffffff ffffffff fffffffe ffffffff ffffffff")}function w(){m.call(this,"25519","7fffffffffffffff ffffffffffffffff ffffffffffffffff ffffffffffffffed")}function T(t){if("string"==typeof t){var e=a._prime(t);this.m=e.p,this.prime=e}else n(t.gtn(1),"modulus must be greater than 1"),this.m=t,this.prime=null}function k(t){T.call(this,t),this.shift=this.m.bitLength(),this.shift%26!=0&&(this.shift+=26-this.shift%26),this.r=new a(1).iushln(this.shift),this.r2=this.imod(this.r.sqr()),this.rinv=this.r._invmp(this.m),this.minv=this.rinv.mul(this.r).isubn(1).div(this.m),this.minv=this.minv.umod(this.r),this.minv=this.r.sub(this.minv)}m.prototype._tmp=function(){var t=new a(null);return t.words=new Array(Math.ceil(this.n/13)),t},m.prototype.ireduce=function(t){var 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v=l("labels");l("labelFont")&&(v=!0),o("labelEnable"),a("labelSize"),a("labelPad"),u("labelColor"),o("lineEnable"),o("lineMirror"),a("lineWidth"),u("lineColor"),o("lineTickEnable"),o("lineTickMirror"),a("lineTickLength"),a("lineTickWidth"),u("lineTickColor"),o("gridEnable"),a("gridWidth"),u("gridColor"),o("zeroEnable"),u("zeroLineColor"),a("zeroLineWidth"),o("backgroundEnable"),u("backgroundColor"),this._text?this._text&&(v||c)&&this._text.update(this.bounds,this.labels,this.labelFont,this.ticks,this.tickFont):this._text=n(this.gl,this.bounds,this.labels,this.labelFont,this.ticks,this.tickFont),this._lines&&c&&(this._lines.dispose(),this._lines=null),this._lines||(this._lines=i(this.gl,this.bounds,this.ticks))};var p=[new h,new h,new h];function d(t,e,r,n,i){for(var a=t.primalOffset,o=t.primalMinor,s=t.mirrorOffset,l=t.mirrorMinor,u=n[e],c=0;c<3;++c)if(e!==c){var f=a,h=s,p=o,d=l;u&1<0?(p[c]=-1,d[c]=0):(p[c]=0,d[c]=1)}}var v=[0,0,0],g={model:l,view:l,projection:l,_ortho:!1};f.isOpaque=function(){return!0},f.isTransparent=function(){return!1},f.drawTransparent=function(t){};var y=[0,0,0],m=[0,0,0],x=[0,0,0];f.draw=function(t){t=t||g;for(var e=this.gl,r=t.model||l,n=t.view||l,i=t.projection||l,a=this.bounds,s=t._ortho||!1,c=o(r,n,i,a,s),f=c.cubeEdges,h=c.axis,b=n[12],_=n[13],w=n[14],T=n[15],k=(s?2:1)*this.pixelRatio*(i[3]*b+i[7]*_+i[11]*w+i[15]*T)/e.drawingBufferHeight,A=0;A<3;++A)this.lastCubeProps.cubeEdges[A]=f[A],this.lastCubeProps.axis[A]=h[A];var M=p;for(A=0;A<3;++A)d(p[A],A,this.bounds,f,h);e=this.gl;var S,E,L,C=v;for(A=0;A<3;++A)this.backgroundEnable[A]?C[A]=h[A]:C[A]=0;for(this._background.draw(r,n,i,a,C,this.backgroundColor),this._lines.bind(r,n,i,this),A=0;A<3;++A){var P=[0,0,0];h[A]>0?P[A]=a[1][A]:P[A]=a[0][A];for(var O=0;O<2;++O){var I=(A+1+O)%3,D=(A+1+(1^O))%3;this.gridEnable[I]&&this._lines.drawGrid(I,D,this.bounds,P,this.gridColor[I],this.gridWidth[I]*this.pixelRatio)}for(O=0;O<2;++O)I=(A+1+O)%3,D=(A+1+(1^O))%3,this.zeroEnable[D]&&Math.min(a[0][D],a[1][D])<=0&&Math.max(a[0][D],a[1][D])>=0&&this._lines.drawZero(I,D,this.bounds,P,this.zeroLineColor[D],this.zeroLineWidth[D]*this.pixelRatio)}for(A=0;A<3;++A){this.lineEnable[A]&&this._lines.drawAxisLine(A,this.bounds,M[A].primalOffset,this.lineColor[A],this.lineWidth[A]*this.pixelRatio),this.lineMirror[A]&&this._lines.drawAxisLine(A,this.bounds,M[A].mirrorOffset,this.lineColor[A],this.lineWidth[A]*this.pixelRatio);var z=u(y,M[A].primalMinor),R=u(m,M[A].mirrorMinor),F=this.lineTickLength;for(O=0;O<3;++O){var B=k/r[5*O];z[O]*=F[O]*B,R[O]*=F[O]*B}this.lineTickEnable[A]&&this._lines.drawAxisTicks(A,M[A].primalOffset,z,this.lineTickColor[A],this.lineTickWidth[A]*this.pixelRatio),this.lineTickMirror[A]&&this._lines.drawAxisTicks(A,M[A].mirrorOffset,R,this.lineTickColor[A],this.lineTickWidth[A]*this.pixelRatio)}function N(t){(L=[0,0,0])[t]=1}function j(t,e,r){var n=(t+1)%3,i=(t+2)%3,a=e[n],o=e[i],s=r[n],l=r[i];a>0&&l>0||a>0&&l<0||a<0&&l>0||a<0&&l<0?N(n):(o>0&&s>0||o>0&&s<0||o<0&&s>0||o<0&&s<0)&&N(i)}for(this._lines.unbind(),this._text.bind(r,n,i,this.pixelRatio),A=0;A<3;++A){var U=M[A].primalMinor,V=M[A].mirrorMinor,q=u(x,M[A].primalOffset);for(O=0;O<3;++O)this.lineTickEnable[A]&&(q[O]+=k*U[O]*Math.max(this.lineTickLength[O],0)/r[5*O]);var H=[0,0,0];if(H[A]=1,this.tickEnable[A]){for(-3600===this.tickAngle[A]?(this.tickAngle[A]=0,this.tickAlign[A]="auto"):this.tickAlign[A]=-1,E=1,"auto"===(S=[this.tickAlign[A],.5,E])[0]?S[0]=0:S[0]=parseInt(""+S[0]),L=[0,0,0],j(A,U,V),O=0;O<3;++O)q[O]+=k*U[O]*this.tickPad[O]/r[5*O];this._text.drawTicks(A,this.tickSize[A],this.tickAngle[A],q,this.tickColor[A],H,L,S)}if(this.labelEnable[A]){for(E=0,L=[0,0,0],this.labels[A].length>4&&(N(A),E=1),"auto"===(S=[this.labelAlign[A],.5,E])[0]?S[0]=0:S[0]=parseInt(""+S[0]),O=0;O<3;++O)q[O]+=k*U[O]*this.labelPad[O]/r[5*O];q[A]+=.5*(a[0][A]+a[1][A]),this._text.drawLabel(A,this.labelSize[A],this.labelAngle[A],q,this.labelColor[A],[0,0,0],L,S)}}this._text.unbind()},f.dispose=function(){this._text.dispose(),this._lines.dispose(),this._background.dispose(),this._lines=null,this._text=null,this._background=null,this.gl=null}},1011:function(t,e,r){"use strict";t.exports=function(t){for(var e=[],r=[],s=0,l=0;l<3;++l)for(var u=(l+1)%3,c=(l+2)%3,f=[0,0,0],h=[0,0,0],p=-1;p<=1;p+=2){r.push(s,s+2,s+1,s+1,s+2,s+3),f[l]=p,h[l]=p;for(var d=-1;d<=1;d+=2){f[u]=d;for(var v=-1;v<=1;v+=2)f[c]=v,e.push(f[0],f[1],f[2],h[0],h[1],h[2]),s+=1}var g=u;u=c,c=g}var y=n(t,new Float32Array(e)),m=n(t,new Uint16Array(r),t.ELEMENT_ARRAY_BUFFER),x=i(t,[{buffer:y,type:t.FLOAT,size:3,offset:0,stride:24},{buffer:y,type:t.FLOAT,size:3,offset:12,stride:24}],m),b=a(t);return b.attributes.position.location=0,b.attributes.normal.location=1,new o(t,y,x,b)};var n=r(5827),i=r(2944),a=r(1943).bg;function o(t,e,r,n){this.gl=t,this.buffer=e,this.vao=r,this.shader=n}var s=o.prototype;s.draw=function(t,e,r,n,i,a){for(var o=!1,s=0;s<3;++s)o=o||i[s];if(o){var l=this.gl;l.enable(l.POLYGON_OFFSET_FILL),l.polygonOffset(1,2),this.shader.bind(),this.shader.uniforms={model:t,view:e,projection:r,bounds:n,enable:i,colors:a},this.vao.bind(),this.vao.draw(this.gl.TRIANGLES,36),this.vao.unbind(),l.disable(l.POLYGON_OFFSET_FILL)}},s.dispose=function(){this.vao.dispose(),this.buffer.dispose(),this.shader.dispose()}},2864:function(t,e,r){"use strict";t.exports=function(t,e,r,a,p){i(s,e,t),i(s,r,s);for(var m=0,x=0;x<2;++x){c[2]=a[x][2];for(var b=0;b<2;++b){c[1]=a[b][1];for(var _=0;_<2;++_)c[0]=a[_][0],h(l[m],c,s),m+=1}}var w=-1;for(x=0;x<8;++x){for(var T=l[x][3],k=0;k<3;++k)u[x][k]=l[x][k]/T;p&&(u[x][2]*=-1),T<0&&(w<0||u[x][2]E&&(w|=1<E&&(w|=1<u[x][1])&&(R=x);var F=-1;for(x=0;x<3;++x)(N=R^1<u[B][0]&&(B=N))}var j=v;j[0]=j[1]=j[2]=0,j[n.log2(F^R)]=R&F,j[n.log2(R^B)]=R&B;var U=7^B;U===w||U===z?(U=7^F,j[n.log2(B^U)]=U&B):j[n.log2(F^U)]=U&F;var V=g,q=w;for(A=0;A<3;++A)V[A]=q&1< HALF_PI) && (b <= ONE_AND_HALF_PI)) ?\n b - PI :\n b;\n}\n\nfloat look_horizontal_or_vertical(float a, float ratio) {\n // ratio controls the ratio between being horizontal to (vertical + horizontal)\n // if ratio is set to 0.5 then it is 50%, 50%.\n // when using a higher ratio e.g. 0.75 the result would\n // likely be more horizontal than vertical.\n\n float b = positive_angle(a);\n\n return\n (b < ( ratio) * HALF_PI) ? 0.0 :\n (b < (2.0 - ratio) * HALF_PI) ? -HALF_PI :\n (b < (2.0 + ratio) * HALF_PI) ? 0.0 :\n (b < (4.0 - ratio) * HALF_PI) ? HALF_PI :\n 0.0;\n}\n\nfloat roundTo(float a, float b) {\n return float(b * floor((a + 0.5 * b) / b));\n}\n\nfloat look_round_n_directions(float a, int n) {\n float b = positive_angle(a);\n float div = TWO_PI / float(n);\n float c = roundTo(b, div);\n return look_upwards(c);\n}\n\nfloat applyAlignOption(float rawAngle, float delta) {\n return\n (option > 2) ? look_round_n_directions(rawAngle + delta, option) : // option 3-n: round to n directions\n (option == 2) ? look_horizontal_or_vertical(rawAngle + delta, hv_ratio) : // horizontal or vertical\n (option == 1) ? rawAngle + delta : // use free angle, and flip to align with one direction of the axis\n (option == 0) ? look_upwards(rawAngle) : // use free angle, and stay upwards\n (option ==-1) ? 0.0 : // useful for backward compatibility, all texts remains horizontal\n rawAngle; // otherwise return back raw input angle\n}\n\nbool isAxisTitle = (axis.x == 0.0) &&\n (axis.y == 0.0) &&\n (axis.z == 0.0);\n\nvoid main() {\n //Compute world offset\n float axisDistance = position.z;\n vec3 dataPosition = axisDistance * axis + offset;\n\n float beta = angle; // i.e. user defined attributes for each tick\n\n float axisAngle;\n float clipAngle;\n float flip;\n\n if (enableAlign) {\n axisAngle = (isAxisTitle) ? HALF_PI :\n computeViewAngle(dataPosition, dataPosition + axis);\n clipAngle = computeViewAngle(dataPosition, dataPosition + alignDir);\n\n axisAngle += (sin(axisAngle) < 0.0) ? PI : 0.0;\n clipAngle += (sin(clipAngle) < 0.0) ? PI : 0.0;\n\n flip = (dot(vec2(cos(axisAngle), sin(axisAngle)),\n vec2(sin(clipAngle),-cos(clipAngle))) > 0.0) ? 1.0 : 0.0;\n\n beta += applyAlignOption(clipAngle, flip * PI);\n }\n\n //Compute plane offset\n vec2 planeCoord = position.xy * pixelScale;\n\n mat2 planeXform = scale * mat2(\n cos(beta), sin(beta),\n -sin(beta), cos(beta)\n );\n\n vec2 viewOffset = 2.0 * planeXform * planeCoord / resolution;\n\n //Compute clip position\n vec3 clipPosition = project(dataPosition);\n\n //Apply text offset in clip coordinates\n clipPosition += vec3(viewOffset, 0.0);\n\n //Done\n gl_Position = vec4(clipPosition, 1.0);\n}"]),l=n(["precision highp float;\n#define GLSLIFY 1\n\nuniform vec4 color;\nvoid main() {\n gl_FragColor = color;\n}"]);e.f=function(t){return i(t,s,l,null,[{name:"position",type:"vec3"}])};var u=n(["precision highp float;\n#define GLSLIFY 1\n\nattribute vec3 position;\nattribute vec3 normal;\n\nuniform mat4 model, view, projection;\nuniform vec3 enable;\nuniform vec3 bounds[2];\n\nvarying vec3 colorChannel;\n\nvoid main() {\n\n vec3 signAxis = sign(bounds[1] - bounds[0]);\n\n vec3 realNormal = signAxis * normal;\n\n if(dot(realNormal, enable) > 0.0) {\n vec3 minRange = min(bounds[0], bounds[1]);\n vec3 maxRange = max(bounds[0], bounds[1]);\n vec3 nPosition = mix(minRange, maxRange, 0.5 * (position + 1.0));\n gl_Position = projection * view * model * vec4(nPosition, 1.0);\n } else {\n gl_Position = vec4(0,0,0,0);\n }\n\n colorChannel = abs(realNormal);\n}"]),c=n(["precision highp float;\n#define GLSLIFY 1\n\nuniform vec4 colors[3];\n\nvarying vec3 colorChannel;\n\nvoid main() {\n gl_FragColor = colorChannel.x * colors[0] +\n colorChannel.y * colors[1] +\n colorChannel.z * colors[2];\n}"]);e.bg=function(t){return i(t,u,c,null,[{name:"position",type:"vec3"},{name:"normal",type:"vec3"}])}},9557:function(t,e,r){"use strict";t.exports=function(t,e,r,i,o,l){var u=n(t),f=a(t,[{buffer:u,size:3}]),h=s(t);h.attributes.position.location=0;var p=new c(t,h,u,f);return p.update(e,r,i,o,l),p};var n=r(5827),a=r(2944),o=r(875),s=r(1943).f,l=window||i.global||{},u=l.__TEXT_CACHE||{};function c(t,e,r,n){this.gl=t,this.shader=e,this.buffer=r,this.vao=n,this.tickOffset=this.tickCount=this.labelOffset=this.labelCount=null}l.__TEXT_CACHE={};var f=c.prototype,h=[0,0];f.bind=function(t,e,r,n){this.vao.bind(),this.shader.bind();var i=this.shader.uniforms;i.model=t,i.view=e,i.projection=r,i.pixelScale=n,h[0]=this.gl.drawingBufferWidth,h[1]=this.gl.drawingBufferHeight,this.shader.uniforms.resolution=h},f.unbind=function(){this.vao.unbind()},f.update=function(t,e,r,n,i){var a=[];function s(t,e,r,n,i,s){var l=u[r];l||(l=u[r]={});var c=l[e];c||(c=l[e]=function(t,e){try{return o(t,e)}catch(e){return console.warn('error vectorizing text:"'+t+'" error:',e),{cells:[],positions:[]}}}(e,{triangles:!0,font:r,textAlign:"center",textBaseline:"middle",lineSpacing:i,styletags:s}));for(var f=(n||12)/12,h=c.positions,p=c.cells,d=0,v=p.length;d=0;--y){var m=h[g[y]];a.push(f*m[0],-f*m[1],t)}}for(var l=[0,0,0],c=[0,0,0],f=[0,0,0],h=[0,0,0],p={breaklines:!0,bolds:!0,italics:!0,subscripts:!0,superscripts:!0},d=0;d<3;++d){f[d]=a.length/3|0,s(.5*(t[0][d]+t[1][d]),e[d],r[d],12,1.25,p),h[d]=(a.length/3|0)-f[d],l[d]=a.length/3|0;for(var v=0;v=0&&(i=r.length-n-1);var a=Math.pow(10,i),o=Math.round(t*e*a),s=o+"";if(s.indexOf("e")>=0)return s;var l=o/a,u=o%a;o<0?(l=0|-Math.ceil(l),u=0|-u):(l=0|Math.floor(l),u|=0);var c=""+l;if(o<0&&(c="-"+c),i){for(var f=""+u;f.length=t[0][i];--o)a.push({x:o*e[i],text:r(e[i],o)});n.push(a)}return n},e.equal=function(t,e){for(var r=0;r<3;++r){if(t[r].length!==e[r].length)return!1;for(var n=0;nr)throw new Error("gl-buffer: If resizing buffer, must not specify offset");return t.bufferSubData(e,a,i),r}function c(t,e){for(var r=n.malloc(t.length,e),i=t.length,a=0;a=0;--n){if(e[n]!==r)return!1;r*=t[n]}return!0}(t.shape,t.stride))0===t.offset&&t.data.length===t.shape[0]?this.length=u(this.gl,this.type,this.length,this.usage,t.data,e):this.length=u(this.gl,this.type,this.length,this.usage,t.data.subarray(t.offset,t.shape[0]),e);else{var s=n.malloc(t.size,r),l=a(s,t.shape);i.assign(l,t),this.length=u(this.gl,this.type,this.length,this.usage,e<0?s:s.subarray(0,t.size),e),n.free(s)}}else if(Array.isArray(t)){var f;f=this.type===this.gl.ELEMENT_ARRAY_BUFFER?c(t,"uint16"):c(t,"float32"),this.length=u(this.gl,this.type,this.length,this.usage,e<0?f:f.subarray(0,t.length),e),n.free(f)}else if("object"==typeof t&&"number"==typeof t.length)this.length=u(this.gl,this.type,this.length,this.usage,t,e);else{if("number"!=typeof t&&void 0!==t)throw new Error("gl-buffer: Invalid data type");if(e>=0)throw new Error("gl-buffer: Cannot specify offset when resizing buffer");(t|=0)<=0&&(t=1),this.gl.bufferData(this.type,0|t,this.usage),this.length=t}},t.exports=function(t,e,r,n){if(r=r||t.ARRAY_BUFFER,n=n||t.DYNAMIC_DRAW,r!==t.ARRAY_BUFFER&&r!==t.ELEMENT_ARRAY_BUFFER)throw new Error("gl-buffer: Invalid type for webgl buffer, must be either gl.ARRAY_BUFFER or gl.ELEMENT_ARRAY_BUFFER");if(n!==t.DYNAMIC_DRAW&&n!==t.STATIC_DRAW&&n!==t.STREAM_DRAW)throw new Error("gl-buffer: Invalid usage for buffer, must be either gl.DYNAMIC_DRAW, gl.STATIC_DRAW or gl.STREAM_DRAW");var i=t.createBuffer(),a=new s(t,r,i,0,n);return a.update(e),a}},1140:function(t,e,r){"use strict";var n=r(2858);t.exports=function(t,e){var r=t.positions,i=t.vectors,a={positions:[],vertexIntensity:[],vertexIntensityBounds:t.vertexIntensityBounds,vectors:[],cells:[],coneOffset:t.coneOffset,colormap:t.colormap};if(0===t.positions.length)return e&&(e[0]=[0,0,0],e[1]=[0,0,0]),a;for(var o=0,s=1/0,l=-1/0,u=1/0,c=-1/0,f=1/0,h=-1/0,p=null,d=null,v=[],g=1/0,y=!1,m=0;mo&&(o=n.length(b)),m){var _=2*n.distance(p,x)/(n.length(d)+n.length(b));_?(g=Math.min(g,_),y=!1):y=!0}y||(p=x,d=b),v.push(b)}var w=[s,u,f],T=[l,c,h];e&&(e[0]=w,e[1]=T),0===o&&(o=1);var k=1/o;isFinite(g)||(g=1),a.vectorScale=g;var A=t.coneSize||.5;t.absoluteConeSize&&(A=t.absoluteConeSize*k),a.coneScale=A,m=0;for(var M=0;m=1},p.isTransparent=function(){return this.opacity<1},p.pickSlots=1,p.setPickBase=function(t){this.pickId=t},p.update=function(t){t=t||{};var e=this.gl;this.dirty=!0,"lightPosition"in t&&(this.lightPosition=t.lightPosition),"opacity"in t&&(this.opacity=t.opacity),"ambient"in t&&(this.ambientLight=t.ambient),"diffuse"in t&&(this.diffuseLight=t.diffuse),"specular"in t&&(this.specularLight=t.specular),"roughness"in t&&(this.roughness=t.roughness),"fresnel"in t&&(this.fresnel=t.fresnel),void 0!==t.tubeScale&&(this.tubeScale=t.tubeScale),void 0!==t.vectorScale&&(this.vectorScale=t.vectorScale),void 0!==t.coneScale&&(this.coneScale=t.coneScale),void 0!==t.coneOffset&&(this.coneOffset=t.coneOffset),t.colormap&&(this.texture.shape=[256,256],this.texture.minFilter=e.LINEAR_MIPMAP_LINEAR,this.texture.magFilter=e.LINEAR,this.texture.setPixels(function(t){for(var e=c({colormap:t,nshades:256,format:"rgba"}),r=new Uint8Array(1024),n=0;n<256;++n){for(var i=e[n],a=0;a<3;++a)r[4*n+a]=i[a];r[4*n+3]=255*i[3]}return u(r,[256,256,4],[4,0,1])}(t.colormap)),this.texture.generateMipmap());var r=t.cells,n=t.positions,i=t.vectors;if(n&&r&&i){var a=[],o=[],s=[],l=[],f=[];this.cells=r,this.positions=n,this.vectors=i;var h=t.meshColor||[1,1,1,1],p=t.vertexIntensity,d=1/0,v=-1/0;if(p)if(t.vertexIntensityBounds)d=+t.vertexIntensityBounds[0],v=+t.vertexIntensityBounds[1];else for(var g=0;g0){var v=this.triShader;v.bind(),v.uniforms=u,this.triangleVAO.bind(),e.drawArrays(e.TRIANGLES,0,3*this.triangleCount),this.triangleVAO.unbind()}},p.drawPick=function(t){t=t||{};for(var e=this.gl,r=t.model||f,n=t.view||f,i=t.projection||f,a=[[-1e6,-1e6,-1e6],[1e6,1e6,1e6]],o=0;o<3;++o)a[0][o]=Math.max(a[0][o],this.clipBounds[0][o]),a[1][o]=Math.min(a[1][o],this.clipBounds[1][o]);this._model=[].slice.call(r),this._view=[].slice.call(n),this._projection=[].slice.call(i),this._resolution=[e.drawingBufferWidth,e.drawingBufferHeight];var s={model:r,view:n,projection:i,clipBounds:a,tubeScale:this.tubeScale,vectorScale:this.vectorScale,coneScale:this.coneScale,coneOffset:this.coneOffset,pickId:this.pickId/255},l=this.pickShader;l.bind(),l.uniforms=s,this.triangleCount>0&&(this.triangleVAO.bind(),e.drawArrays(e.TRIANGLES,0,3*this.triangleCount),this.triangleVAO.unbind())},p.pick=function(t){if(!t)return null;if(t.id!==this.pickId)return null;var e=t.value[0]+256*t.value[1]+65536*t.value[2],r=this.cells[e],n=this.positions[r[1]].slice(0,3),i={position:n,dataCoordinate:n,index:Math.floor(r[1]/48)};return"cone"===this.traceType?i.index=Math.floor(r[1]/48):"streamtube"===this.traceType&&(i.intensity=this.intensity[r[1]],i.velocity=this.vectors[r[1]].slice(0,3),i.divergence=this.vectors[r[1]][3],i.index=e),i},p.dispose=function(){this.texture.dispose(),this.triShader.dispose(),this.pickShader.dispose(),this.triangleVAO.dispose(),this.trianglePositions.dispose(),this.triangleVectors.dispose(),this.triangleColors.dispose(),this.triangleUVs.dispose(),this.triangleIds.dispose()},t.exports=function(t,e,r){var s=r.shaders;1===arguments.length&&(t=(e=t).gl);var l=function(t,e){var r=n(t,e.meshShader.vertex,e.meshShader.fragment,null,e.meshShader.attributes);return r.attributes.position.location=0,r.attributes.color.location=2,r.attributes.uv.location=3,r.attributes.vector.location=4,r}(t,s),c=function(t,e){var r=n(t,e.pickShader.vertex,e.pickShader.fragment,null,e.pickShader.attributes);return r.attributes.position.location=0,r.attributes.id.location=1,r.attributes.vector.location=4,r}(t,s),f=o(t,u(new Uint8Array([255,255,255,255]),[1,1,4]));f.generateMipmap(),f.minFilter=t.LINEAR_MIPMAP_LINEAR,f.magFilter=t.LINEAR;var p=i(t),d=i(t),v=i(t),g=i(t),y=i(t),m=new h(t,f,l,c,p,d,y,v,g,a(t,[{buffer:p,type:t.FLOAT,size:4},{buffer:y,type:t.UNSIGNED_BYTE,size:4,normalized:!0},{buffer:v,type:t.FLOAT,size:4},{buffer:g,type:t.FLOAT,size:2},{buffer:d,type:t.FLOAT,size:4}]),r.traceType||"cone");return m.update(e),m}},7234:function(t,e,r){var n=r(6832),i=n(["precision highp float;\n\nprecision highp float;\n#define GLSLIFY 1\n\nvec3 getOrthogonalVector(vec3 v) {\n // Return up-vector for only-z vector.\n // Return ax + by + cz = 0, a point that lies on the plane that has v as a normal and that isn't (0,0,0).\n // From the above if-statement we have ||a|| > 0 U ||b|| > 0.\n // Assign z = 0, x = -b, y = a:\n // a*-b + b*a + c*0 = -ba + ba + 0 = 0\n if (v.x*v.x > v.z*v.z || v.y*v.y > v.z*v.z) {\n return normalize(vec3(-v.y, v.x, 0.0));\n } else {\n return normalize(vec3(0.0, v.z, -v.y));\n }\n}\n\n// Calculate the cone vertex and normal at the given index.\n//\n// The returned vertex is for a cone with its top at origin and height of 1.0,\n// pointing in the direction of the vector attribute.\n//\n// Each cone is made up of a top vertex, a center base vertex and base perimeter vertices.\n// These vertices are used to make up the triangles of the cone by the following:\n// segment + 0 top vertex\n// segment + 1 perimeter vertex a+1\n// segment + 2 perimeter vertex a\n// segment + 3 center base vertex\n// segment + 4 perimeter vertex a\n// segment + 5 perimeter vertex a+1\n// Where segment is the number of the radial segment * 6 and a is the angle at that radial segment.\n// To go from index to segment, floor(index / 6)\n// To go from segment to angle, 2*pi * (segment/segmentCount)\n// To go from index to segment index, index - (segment*6)\n//\nvec3 getConePosition(vec3 d, float rawIndex, float coneOffset, out vec3 normal) {\n\n const float segmentCount = 8.0;\n\n float index = rawIndex - floor(rawIndex /\n (segmentCount * 6.0)) *\n (segmentCount * 6.0);\n\n float segment = floor(0.001 + index/6.0);\n float segmentIndex = index - (segment*6.0);\n\n normal = -normalize(d);\n\n if (segmentIndex > 2.99 && segmentIndex < 3.01) {\n return mix(vec3(0.0), -d, coneOffset);\n }\n\n float nextAngle = (\n (segmentIndex > 0.99 && segmentIndex < 1.01) ||\n (segmentIndex > 4.99 && segmentIndex < 5.01)\n ) ? 1.0 : 0.0;\n float angle = 2.0 * 3.14159 * ((segment + nextAngle) / segmentCount);\n\n vec3 v1 = mix(d, vec3(0.0), coneOffset);\n vec3 v2 = v1 - d;\n\n vec3 u = getOrthogonalVector(d);\n vec3 v = normalize(cross(u, d));\n\n vec3 x = u * cos(angle) * length(d)*0.25;\n vec3 y = v * sin(angle) * length(d)*0.25;\n vec3 v3 = v2 + x + y;\n if (segmentIndex < 3.0) {\n vec3 tx = u * sin(angle);\n vec3 ty = v * -cos(angle);\n vec3 tangent = tx + ty;\n normal = normalize(cross(v3 - v1, tangent));\n }\n\n if (segmentIndex == 0.0) {\n return mix(d, vec3(0.0), coneOffset);\n }\n return v3;\n}\n\nattribute vec3 vector;\nattribute vec4 color, position;\nattribute vec2 uv;\n\nuniform float vectorScale, coneScale, coneOffset;\nuniform mat4 model, view, projection, inverseModel;\nuniform vec3 eyePosition, lightPosition;\n\nvarying vec3 f_normal, f_lightDirection, f_eyeDirection, f_data, f_position;\nvarying vec4 f_color;\nvarying vec2 f_uv;\n\nvoid main() {\n // Scale the vector magnitude to stay constant with\n // model & view changes.\n vec3 normal;\n vec3 XYZ = getConePosition(mat3(model) * ((vectorScale * coneScale) * vector), position.w, coneOffset, normal);\n vec4 conePosition = model * vec4(position.xyz, 1.0) + vec4(XYZ, 0.0);\n\n //Lighting geometry parameters\n vec4 cameraCoordinate = view * conePosition;\n cameraCoordinate.xyz /= cameraCoordinate.w;\n f_lightDirection = lightPosition - cameraCoordinate.xyz;\n f_eyeDirection = eyePosition - cameraCoordinate.xyz;\n f_normal = normalize((vec4(normal, 0.0) * inverseModel).xyz);\n\n // vec4 m_position = model * vec4(conePosition, 1.0);\n vec4 t_position = view * conePosition;\n gl_Position = projection * t_position;\n\n f_color = color;\n f_data = conePosition.xyz;\n f_position = position.xyz;\n f_uv = uv;\n}\n"]),a=n(["#extension GL_OES_standard_derivatives : enable\n\nprecision highp float;\n#define GLSLIFY 1\n\nfloat beckmannDistribution(float x, float roughness) {\n float NdotH = max(x, 0.0001);\n float cos2Alpha = NdotH * NdotH;\n float tan2Alpha = (cos2Alpha - 1.0) / cos2Alpha;\n float roughness2 = roughness * roughness;\n float denom = 3.141592653589793 * roughness2 * cos2Alpha * cos2Alpha;\n return exp(tan2Alpha / roughness2) / denom;\n}\n\nfloat cookTorranceSpecular(\n vec3 lightDirection,\n vec3 viewDirection,\n vec3 surfaceNormal,\n float roughness,\n float fresnel) {\n\n float VdotN = max(dot(viewDirection, surfaceNormal), 0.0);\n float LdotN = max(dot(lightDirection, surfaceNormal), 0.0);\n\n //Half angle vector\n vec3 H = normalize(lightDirection + viewDirection);\n\n //Geometric term\n float NdotH = max(dot(surfaceNormal, H), 0.0);\n float VdotH = max(dot(viewDirection, H), 0.000001);\n float LdotH = max(dot(lightDirection, H), 0.000001);\n float G1 = (2.0 * NdotH * VdotN) / VdotH;\n float G2 = (2.0 * NdotH * LdotN) / LdotH;\n float G = min(1.0, min(G1, G2));\n \n //Distribution term\n float D = beckmannDistribution(NdotH, roughness);\n\n //Fresnel term\n float F = pow(1.0 - VdotN, fresnel);\n\n //Multiply terms and done\n return G * F * D / max(3.14159265 * VdotN, 0.000001);\n}\n\nbool outOfRange(float a, float b, float p) {\n return ((p > max(a, b)) || \n (p < min(a, b)));\n}\n\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\n return (outOfRange(a.x, b.x, p.x) ||\n outOfRange(a.y, b.y, p.y));\n}\n\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\n return (outOfRange(a.x, b.x, p.x) ||\n outOfRange(a.y, b.y, p.y) ||\n outOfRange(a.z, b.z, p.z));\n}\n\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\n return outOfRange(a.xyz, b.xyz, p.xyz);\n}\n\nuniform vec3 clipBounds[2];\nuniform float roughness, fresnel, kambient, kdiffuse, kspecular, opacity;\nuniform sampler2D texture;\n\nvarying vec3 f_normal, f_lightDirection, f_eyeDirection, f_data, f_position;\nvarying vec4 f_color;\nvarying vec2 f_uv;\n\nvoid main() {\n if (outOfRange(clipBounds[0], clipBounds[1], f_position)) discard;\n vec3 N = normalize(f_normal);\n vec3 L = normalize(f_lightDirection);\n vec3 V = normalize(f_eyeDirection);\n\n if(gl_FrontFacing) {\n N = -N;\n }\n\n float specular = min(1.0, max(0.0, cookTorranceSpecular(L, V, N, roughness, fresnel)));\n float diffuse = min(kambient + kdiffuse * max(dot(N, L), 0.0), 1.0);\n\n vec4 surfaceColor = f_color * texture2D(texture, f_uv);\n vec4 litColor = surfaceColor.a * vec4(diffuse * surfaceColor.rgb + kspecular * vec3(1,1,1) * specular, 1.0);\n\n gl_FragColor = litColor * opacity;\n}\n"]),o=n(["precision highp float;\n\nprecision highp float;\n#define GLSLIFY 1\n\nvec3 getOrthogonalVector(vec3 v) {\n // Return up-vector for only-z vector.\n // Return ax + by + cz = 0, a point that lies on the plane that has v as a normal and that isn't (0,0,0).\n // From the above if-statement we have ||a|| > 0 U ||b|| > 0.\n // Assign z = 0, x = -b, y = a:\n // a*-b + b*a + c*0 = -ba + ba + 0 = 0\n if (v.x*v.x > v.z*v.z || v.y*v.y > v.z*v.z) {\n return normalize(vec3(-v.y, v.x, 0.0));\n } else {\n return normalize(vec3(0.0, v.z, -v.y));\n }\n}\n\n// Calculate the cone vertex and normal at the given index.\n//\n// The returned vertex is for a cone with its top at origin and height of 1.0,\n// pointing in the direction of the vector attribute.\n//\n// Each cone is made up of a top vertex, a center base vertex and base perimeter vertices.\n// These vertices are used to make up the triangles of the cone by the following:\n// segment + 0 top vertex\n// segment + 1 perimeter vertex a+1\n// segment + 2 perimeter vertex a\n// segment + 3 center base vertex\n// segment + 4 perimeter vertex a\n// segment + 5 perimeter vertex a+1\n// Where segment is the number of the radial segment * 6 and a is the angle at that radial segment.\n// To go from index to segment, floor(index / 6)\n// To go from segment to angle, 2*pi * (segment/segmentCount)\n// To go from index to segment index, index - (segment*6)\n//\nvec3 getConePosition(vec3 d, float rawIndex, float coneOffset, out vec3 normal) {\n\n const float segmentCount = 8.0;\n\n float index = rawIndex - floor(rawIndex /\n (segmentCount * 6.0)) *\n (segmentCount * 6.0);\n\n float segment = floor(0.001 + index/6.0);\n float segmentIndex = index - (segment*6.0);\n\n normal = -normalize(d);\n\n if (segmentIndex > 2.99 && segmentIndex < 3.01) {\n return mix(vec3(0.0), -d, coneOffset);\n }\n\n float nextAngle = (\n (segmentIndex > 0.99 && segmentIndex < 1.01) ||\n (segmentIndex > 4.99 && segmentIndex < 5.01)\n ) ? 1.0 : 0.0;\n float angle = 2.0 * 3.14159 * ((segment + nextAngle) / segmentCount);\n\n vec3 v1 = mix(d, vec3(0.0), coneOffset);\n vec3 v2 = v1 - d;\n\n vec3 u = getOrthogonalVector(d);\n vec3 v = normalize(cross(u, d));\n\n vec3 x = u * cos(angle) * length(d)*0.25;\n vec3 y = v * sin(angle) * length(d)*0.25;\n vec3 v3 = v2 + x + y;\n if (segmentIndex < 3.0) {\n vec3 tx = u * sin(angle);\n vec3 ty = v * -cos(angle);\n vec3 tangent = tx + ty;\n normal = normalize(cross(v3 - v1, tangent));\n }\n\n if (segmentIndex == 0.0) {\n return mix(d, vec3(0.0), coneOffset);\n }\n return v3;\n}\n\nattribute vec4 vector;\nattribute vec4 position;\nattribute vec4 id;\n\nuniform mat4 model, view, projection;\nuniform float vectorScale, coneScale, coneOffset;\n\nvarying vec3 f_position;\nvarying vec4 f_id;\n\nvoid main() {\n vec3 normal;\n vec3 XYZ = getConePosition(mat3(model) * ((vectorScale * coneScale) * vector.xyz), position.w, coneOffset, normal);\n vec4 conePosition = model * vec4(position.xyz, 1.0) + vec4(XYZ, 0.0);\n gl_Position = projection * view * conePosition;\n f_id = id;\n f_position = position.xyz;\n}\n"]),s=n(["precision highp float;\n#define GLSLIFY 1\n\nbool outOfRange(float a, float b, float p) {\n return ((p > max(a, b)) || \n (p < min(a, b)));\n}\n\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\n return (outOfRange(a.x, b.x, p.x) ||\n outOfRange(a.y, b.y, p.y));\n}\n\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\n return (outOfRange(a.x, b.x, p.x) ||\n outOfRange(a.y, b.y, p.y) ||\n outOfRange(a.z, b.z, p.z));\n}\n\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\n return outOfRange(a.xyz, b.xyz, p.xyz);\n}\n\nuniform vec3 clipBounds[2];\nuniform float pickId;\n\nvarying vec3 f_position;\nvarying vec4 f_id;\n\nvoid main() {\n if (outOfRange(clipBounds[0], clipBounds[1], f_position)) discard;\n\n gl_FragColor = vec4(pickId, f_id.xyz);\n}"]);e.meshShader={vertex:i,fragment:a,attributes:[{name:"position",type:"vec4"},{name:"color",type:"vec4"},{name:"uv",type:"vec2"},{name:"vector",type:"vec3"}]},e.pickShader={vertex:o,fragment:s,attributes:[{name:"position",type:"vec4"},{name:"id",type:"vec4"},{name:"vector",type:"vec3"}]}},1950:function(t){t.exports={0:"NONE",1:"ONE",2:"LINE_LOOP",3:"LINE_STRIP",4:"TRIANGLES",5:"TRIANGLE_STRIP",6:"TRIANGLE_FAN",256:"DEPTH_BUFFER_BIT",512:"NEVER",513:"LESS",514:"EQUAL",515:"LEQUAL",516:"GREATER",517:"NOTEQUAL",518:"GEQUAL",519:"ALWAYS",768:"SRC_COLOR",769:"ONE_MINUS_SRC_COLOR",770:"SRC_ALPHA",771:"ONE_MINUS_SRC_ALPHA",772:"DST_ALPHA",773:"ONE_MINUS_DST_ALPHA",774:"DST_COLOR",775:"ONE_MINUS_DST_COLOR",776:"SRC_ALPHA_SATURATE",1024:"STENCIL_BUFFER_BIT",1028:"FRONT",1029:"BACK",1032:"FRONT_AND_BACK",1280:"INVALID_ENUM",1281:"INVALID_VALUE",1282:"INVALID_OPERATION",1285:"OUT_OF_MEMORY",1286:"INVALID_FRAMEBUFFER_OPERATION",2304:"CW",2305:"CCW",2849:"LINE_WIDTH",2884:"CULL_FACE",2885:"CULL_FACE_MODE",2886:"FRONT_FACE",2928:"DEPTH_RANGE",2929:"DEPTH_TEST",2930:"DEPTH_WRITEMASK",2931:"DEPTH_CLEAR_VALUE",2932:"DEPTH_FUNC",2960:"STENCIL_TEST",2961:"STENCIL_CLEAR_VALUE",2962:"STENCIL_FUNC",2963:"STENCIL_VALUE_MASK",2964:"STENCIL_FAIL",2965:"STENCIL_PASS_DEPTH_FAIL",2966:"STENCIL_PASS_DEPTH_PASS",2967:"STENCIL_REF",2968:"STENCIL_WRITEMASK",2978:"VIEWPORT",3024:"DITHER",3042:"BLEND",3088:"SCISSOR_BOX",3089:"SCISSOR_TEST",3106:"COLOR_CLEAR_VALUE",3107:"COLOR_WRITEMASK",3317:"UNPACK_ALIGNMENT",3333:"PACK_ALIGNMENT",3379:"MAX_TEXTURE_SIZE",3386:"MAX_VIEWPORT_DIMS",3408:"SUBPIXEL_BITS",3410:"RED_BITS",3411:"GREEN_BITS",3412:"BLUE_BITS",3413:"ALPHA_BITS",3414:"DEPTH_BITS",3415:"STENCIL_BITS",3553:"TEXTURE_2D",4352:"DONT_CARE",4353:"FASTEST",4354:"NICEST",5120:"BYTE",5121:"UNSIGNED_BYTE",5122:"SHORT",5123:"UNSIGNED_SHORT",5124:"INT",5125:"UNSIGNED_INT",5126:"FLOAT",5386:"INVERT",5890:"TEXTURE",6401:"STENCIL_INDEX",6402:"DEPTH_COMPONENT",6406:"ALPHA",6407:"RGB",6408:"RGBA",6409:"LUMINANCE",6410:"LUMINANCE_ALPHA",7680:"KEEP",7681:"REPLACE",7682:"INCR",7683:"DECR",7936:"VENDOR",7937:"RENDERER",7938:"VERSION",9728:"NEAREST",9729:"LINEAR",9984:"NEAREST_MIPMAP_NEAREST",9985:"LINEAR_MIPMAP_NEAREST",9986:"NEAREST_MIPMAP_LINEAR",9987:"LINEAR_MIPMAP_LINEAR",10240:"TEXTURE_MAG_FILTER",10241:"TEXTURE_MIN_FILTER",10242:"TEXTURE_WRAP_S",10243:"TEXTURE_WRAP_T",10497:"REPEAT",10752:"POLYGON_OFFSET_UNITS",16384:"COLOR_BUFFER_BIT",32769:"CONSTANT_COLOR",32770:"ONE_MINUS_CONSTANT_COLOR",32771:"CONSTANT_ALPHA",32772:"ONE_MINUS_CONSTANT_ALPHA",32773:"BLEND_COLOR",32774:"FUNC_ADD",32777:"BLEND_EQUATION_RGB",32778:"FUNC_SUBTRACT",32779:"FUNC_REVERSE_SUBTRACT",32819:"UNSIGNED_SHORT_4_4_4_4",32820:"UNSIGNED_SHORT_5_5_5_1",32823:"POLYGON_OFFSET_FILL",32824:"POLYGON_OFFSET_FACTOR",32854:"RGBA4",32855:"RGB5_A1",32873:"TEXTURE_BINDING_2D",32926:"SAMPLE_ALPHA_TO_COVERAGE",32928:"SAMPLE_COVERAGE",32936:"SAMPLE_BUFFERS",32937:"SAMPLES",32938:"SAMPLE_COVERAGE_VALUE",32939:"SAMPLE_COVERAGE_INVERT",32968:"BLEND_DST_RGB",32969:"BLEND_SRC_RGB",32970:"BLEND_DST_ALPHA",32971:"BLEND_SRC_ALPHA",33071:"CLAMP_TO_EDGE",33170:"GENERATE_MIPMAP_HINT",33189:"DEPTH_COMPONENT16",33306:"DEPTH_STENCIL_ATTACHMENT",33635:"UNSIGNED_SHORT_5_6_5",33648:"MIRRORED_REPEAT",33901:"ALIASED_POINT_SIZE_RANGE",33902:"ALIASED_LINE_WIDTH_RANGE",33984:"TEXTURE0",33985:"TEXTURE1",33986:"TEXTURE2",33987:"TEXTURE3",33988:"TEXTURE4",33989:"TEXTURE5",33990:"TEXTURE6",33991:"TEXTURE7",33992:"TEXTURE8",33993:"TEXTURE9",33994:"TEXTURE10",33995:"TEXTURE11",33996:"TEXTURE12",33997:"TEXTURE13",33998:"TEXTURE14",33999:"TEXTURE15",34e3:"TEXTURE16",34001:"TEXTURE17",34002:"TEXTURE18",34003:"TEXTURE19",34004:"TEXTURE20",34005:"TEXTURE21",34006:"TEXTURE22",34007:"TEXTURE23",34008:"TEXTURE24",34009:"TEXTURE25",34010:"TEXTURE26",34011:"TEXTURE27",34012:"TEXTURE28",34013:"TEXTURE29",34014:"TEXTURE30",34015:"TEXTURE31",34016:"ACTIVE_TEXTURE",34024:"MAX_RENDERBUFFER_SIZE",34041:"DEPTH_STENCIL",34055:"INCR_WRAP",34056:"DECR_WRAP",34067:"TEXTURE_CUBE_MAP",34068:"TEXTURE_BINDING_CUBE_MAP",34069:"TEXTURE_CUBE_MAP_POSITIVE_X",34070:"TEXTURE_CUBE_MAP_NEGATIVE_X",34071:"TEXTURE_CUBE_MAP_POSITIVE_Y",34072:"TEXTURE_CUBE_MAP_NEGATIVE_Y",34073:"TEXTURE_CUBE_MAP_POSITIVE_Z",34074:"TEXTURE_CUBE_MAP_NEGATIVE_Z",34076:"MAX_CUBE_MAP_TEXTURE_SIZE",34338:"VERTEX_ATTRIB_ARRAY_ENABLED",34339:"VERTEX_ATTRIB_ARRAY_SIZE",34340:"VERTEX_ATTRIB_ARRAY_STRIDE",34341:"VERTEX_ATTRIB_ARRAY_TYPE",34342:"CURRENT_VERTEX_ATTRIB",34373:"VERTEX_ATTRIB_ARRAY_POINTER",34466:"NUM_COMPRESSED_TEXTURE_FORMATS",34467:"COMPRESSED_TEXTURE_FORMATS",34660:"BUFFER_SIZE",34661:"BUFFER_USAGE",34816:"STENCIL_BACK_FUNC",34817:"STENCIL_BACK_FAIL",34818:"STENCIL_BACK_PASS_DEPTH_FAIL",34819:"STENCIL_BACK_PASS_DEPTH_PASS",34877:"BLEND_EQUATION_ALPHA",34921:"MAX_VERTEX_ATTRIBS",34922:"VERTEX_ATTRIB_ARRAY_NORMALIZED",34930:"MAX_TEXTURE_IMAGE_UNITS",34962:"ARRAY_BUFFER",34963:"ELEMENT_ARRAY_BUFFER",34964:"ARRAY_BUFFER_BINDING",34965:"ELEMENT_ARRAY_BUFFER_BINDING",34975:"VERTEX_ATTRIB_ARRAY_BUFFER_BINDING",35040:"STREAM_DRAW",35044:"STATIC_DRAW",35048:"DYNAMIC_DRAW",35632:"FRAGMENT_SHADER",35633:"VERTEX_SHADER",35660:"MAX_VERTEX_TEXTURE_IMAGE_UNITS",35661:"MAX_COMBINED_TEXTURE_IMAGE_UNITS",35663:"SHADER_TYPE",35664:"FLOAT_VEC2",35665:"FLOAT_VEC3",35666:"FLOAT_VEC4",35667:"INT_VEC2",35668:"INT_VEC3",35669:"INT_VEC4",35670:"BOOL",35671:"BOOL_VEC2",35672:"BOOL_VEC3",35673:"BOOL_VEC4",35674:"FLOAT_MAT2",35675:"FLOAT_MAT3",35676:"FLOAT_MAT4",35678:"SAMPLER_2D",35680:"SAMPLER_CUBE",35712:"DELETE_STATUS",35713:"COMPILE_STATUS",35714:"LINK_STATUS",35715:"VALIDATE_STATUS",35716:"INFO_LOG_LENGTH",35717:"ATTACHED_SHADERS",35718:"ACTIVE_UNIFORMS",35719:"ACTIVE_UNIFORM_MAX_LENGTH",35720:"SHADER_SOURCE_LENGTH",35721:"ACTIVE_ATTRIBUTES",35722:"ACTIVE_ATTRIBUTE_MAX_LENGTH",35724:"SHADING_LANGUAGE_VERSION",35725:"CURRENT_PROGRAM",36003:"STENCIL_BACK_REF",36004:"STENCIL_BACK_VALUE_MASK",36005:"STENCIL_BACK_WRITEMASK",36006:"FRAMEBUFFER_BINDING",36007:"RENDERBUFFER_BINDING",36048:"FRAMEBUFFER_ATTACHMENT_OBJECT_TYPE",36049:"FRAMEBUFFER_ATTACHMENT_OBJECT_NAME",36050:"FRAMEBUFFER_ATTACHMENT_TEXTURE_LEVEL",36051:"FRAMEBUFFER_ATTACHMENT_TEXTURE_CUBE_MAP_FACE",36053:"FRAMEBUFFER_COMPLETE",36054:"FRAMEBUFFER_INCOMPLETE_ATTACHMENT",36055:"FRAMEBUFFER_INCOMPLETE_MISSING_ATTACHMENT",36057:"FRAMEBUFFER_INCOMPLETE_DIMENSIONS",36061:"FRAMEBUFFER_UNSUPPORTED",36064:"COLOR_ATTACHMENT0",36096:"DEPTH_ATTACHMENT",36128:"STENCIL_ATTACHMENT",36160:"FRAMEBUFFER",36161:"RENDERBUFFER",36162:"RENDERBUFFER_WIDTH",36163:"RENDERBUFFER_HEIGHT",36164:"RENDERBUFFER_INTERNAL_FORMAT",36168:"STENCIL_INDEX8",36176:"RENDERBUFFER_RED_SIZE",36177:"RENDERBUFFER_GREEN_SIZE",36178:"RENDERBUFFER_BLUE_SIZE",36179:"RENDERBUFFER_ALPHA_SIZE",36180:"RENDERBUFFER_DEPTH_SIZE",36181:"RENDERBUFFER_STENCIL_SIZE",36194:"RGB565",36336:"LOW_FLOAT",36337:"MEDIUM_FLOAT",36338:"HIGH_FLOAT",36339:"LOW_INT",36340:"MEDIUM_INT",36341:"HIGH_INT",36346:"SHADER_COMPILER",36347:"MAX_VERTEX_UNIFORM_VECTORS",36348:"MAX_VARYING_VECTORS",36349:"MAX_FRAGMENT_UNIFORM_VECTORS",37440:"UNPACK_FLIP_Y_WEBGL",37441:"UNPACK_PREMULTIPLY_ALPHA_WEBGL",37442:"CONTEXT_LOST_WEBGL",37443:"UNPACK_COLORSPACE_CONVERSION_WEBGL",37444:"BROWSER_DEFAULT_WEBGL"}},6603:function(t,e,r){var n=r(1950);t.exports=function(t){return n[t]}},3110:function(t,e,r){"use strict";t.exports=function(t){var e=t.gl,r=n(e),o=i(e,[{buffer:r,type:e.FLOAT,size:3,offset:0,stride:40},{buffer:r,type:e.FLOAT,size:4,offset:12,stride:40},{buffer:r,type:e.FLOAT,size:3,offset:28,stride:40}]),l=a(e);l.attributes.position.location=0,l.attributes.color.location=1,l.attributes.offset.location=2;var u=new s(e,r,o,l);return u.update(t),u};var n=r(5827),i=r(2944),a=r(7667),o=[1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1];function s(t,e,r,n){this.gl=t,this.shader=n,this.buffer=e,this.vao=r,this.pixelRatio=1,this.bounds=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]],this.clipBounds=[[-1/0,-1/0,-1/0],[1/0,1/0,1/0]],this.lineWidth=[1,1,1],this.capSize=[10,10,10],this.lineCount=[0,0,0],this.lineOffset=[0,0,0],this.opacity=1,this.hasAlpha=!1}var l=s.prototype;function u(t,e){for(var r=0;r<3;++r)t[0][r]=Math.min(t[0][r],e[r]),t[1][r]=Math.max(t[1][r],e[r])}l.isOpaque=function(){return!this.hasAlpha},l.isTransparent=function(){return this.hasAlpha},l.drawTransparent=l.draw=function(t){var e=this.gl,r=this.shader.uniforms;this.shader.bind();var n=r.view=t.view||o,i=r.projection=t.projection||o;r.model=t.model||o,r.clipBounds=this.clipBounds,r.opacity=this.opacity;var a=n[12],s=n[13],l=n[14],u=n[15],c=(t._ortho?2:1)*this.pixelRatio*(i[3]*a+i[7]*s+i[11]*l+i[15]*u)/e.drawingBufferHeight;this.vao.bind();for(var f=0;f<3;++f)e.lineWidth(this.lineWidth[f]*this.pixelRatio),r.capSize=this.capSize[f]*c,this.lineCount[f]&&e.drawArrays(e.LINES,this.lineOffset[f],this.lineCount[f]);this.vao.unbind()};var c=function(){for(var t=new Array(3),e=0;e<3;++e){for(var r=[],n=1;n<=2;++n)for(var i=-1;i<=1;i+=2){var a=[0,0,0];a[(n+e)%3]=i,r.push(a)}t[e]=r}return t}();function f(t,e,r,n){for(var i=c[n],a=0;a0&&((p=c.slice())[s]+=d[1][s],i.push(c[0],c[1],c[2],v[0],v[1],v[2],v[3],0,0,0,p[0],p[1],p[2],v[0],v[1],v[2],v[3],0,0,0),u(this.bounds,p),o+=2+f(i,p,v,s)))}this.lineCount[s]=o-this.lineOffset[s]}this.buffer.update(i)}},l.dispose=function(){this.shader.dispose(),this.buffer.dispose(),this.vao.dispose()}},7667:function(t,e,r){"use strict";var n=r(6832),i=r(5158),a=n(["precision highp float;\n#define GLSLIFY 1\n\nattribute vec3 position, offset;\nattribute vec4 color;\nuniform mat4 model, view, projection;\nuniform float capSize;\nvarying vec4 fragColor;\nvarying vec3 fragPosition;\n\nvoid main() {\n vec4 worldPosition = model * vec4(position, 1.0);\n worldPosition = (worldPosition / worldPosition.w) + vec4(capSize * offset, 0.0);\n gl_Position = projection * view * worldPosition;\n fragColor = color;\n fragPosition = position;\n}"]),o=n(["precision highp float;\n#define GLSLIFY 1\n\nbool outOfRange(float a, float b, float p) {\n return ((p > max(a, b)) || \n (p < min(a, b)));\n}\n\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\n return (outOfRange(a.x, b.x, p.x) ||\n outOfRange(a.y, b.y, p.y));\n}\n\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\n return (outOfRange(a.x, b.x, p.x) ||\n outOfRange(a.y, b.y, p.y) ||\n outOfRange(a.z, b.z, p.z));\n}\n\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\n return outOfRange(a.xyz, b.xyz, p.xyz);\n}\n\nuniform vec3 clipBounds[2];\nuniform float opacity;\nvarying vec3 fragPosition;\nvarying vec4 fragColor;\n\nvoid main() {\n if (\n outOfRange(clipBounds[0], clipBounds[1], fragPosition) ||\n fragColor.a * opacity == 0.\n ) discard;\n\n gl_FragColor = opacity * fragColor;\n}"]);t.exports=function(t){return i(t,a,o,null,[{name:"position",type:"vec3"},{name:"color",type:"vec4"},{name:"offset",type:"vec3"}])}},4234:function(t,e,r){"use strict";var n=r(8931);t.exports=function(t,e,r,n){i||(i=t.FRAMEBUFFER_UNSUPPORTED,a=t.FRAMEBUFFER_INCOMPLETE_ATTACHMENT,o=t.FRAMEBUFFER_INCOMPLETE_DIMENSIONS,s=t.FRAMEBUFFER_INCOMPLETE_MISSING_ATTACHMENT);var u=t.getExtension("WEBGL_draw_buffers");if(!l&&u&&function(t,e){var r=t.getParameter(e.MAX_COLOR_ATTACHMENTS_WEBGL);l=new Array(r+1);for(var n=0;n<=r;++n){for(var i=new Array(r),a=0;ac||r<0||r>c)throw new Error("gl-fbo: Parameters are too large for FBO");var f=1;if("color"in(n=n||{})){if((f=Math.max(0|n.color,0))<0)throw new Error("gl-fbo: Must specify a nonnegative number of colors");if(f>1){if(!u)throw new Error("gl-fbo: Multiple draw buffer extension not supported");if(f>t.getParameter(u.MAX_COLOR_ATTACHMENTS_WEBGL))throw new Error("gl-fbo: Context does not support "+f+" draw buffers")}}var h=t.UNSIGNED_BYTE,p=t.getExtension("OES_texture_float");if(n.float&&f>0){if(!p)throw new Error("gl-fbo: Context does not support floating point textures");h=t.FLOAT}else n.preferFloat&&f>0&&p&&(h=t.FLOAT);var v=!0;"depth"in n&&(v=!!n.depth);var g=!1;return"stencil"in n&&(g=!!n.stencil),new d(t,e,r,h,f,v,g,u)};var i,a,o,s,l=null;function u(t){return[t.getParameter(t.FRAMEBUFFER_BINDING),t.getParameter(t.RENDERBUFFER_BINDING),t.getParameter(t.TEXTURE_BINDING_2D)]}function c(t,e){t.bindFramebuffer(t.FRAMEBUFFER,e[0]),t.bindRenderbuffer(t.RENDERBUFFER,e[1]),t.bindTexture(t.TEXTURE_2D,e[2])}function f(t){switch(t){case i:throw new Error("gl-fbo: Framebuffer unsupported");case a:throw new Error("gl-fbo: Framebuffer incomplete attachment");case o:throw new Error("gl-fbo: Framebuffer incomplete dimensions");case s:throw new Error("gl-fbo: Framebuffer incomplete missing attachment");default:throw new Error("gl-fbo: Framebuffer failed for unspecified reason")}}function h(t,e,r,i,a,o){if(!i)return null;var s=n(t,e,r,a,i);return 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x=r.checkFramebufferStatus(r.FRAMEBUFFER);if(x!==r.FRAMEBUFFER_COMPLETE){for(t._destroyed=!0,r.bindFramebuffer(r.FRAMEBUFFER,null),r.deleteFramebuffer(t.handle),t.handle=null,t.depth&&(t.depth.dispose(),t.depth=null),t._depth_rb&&(r.deleteRenderbuffer(t._depth_rb),t._depth_rb=null),y=0;yi||r<0||r>i)throw new Error("gl-fbo: Can't resize FBO, invalid dimensions");t._shape[0]=e,t._shape[1]=r;for(var a=u(n),o=0;o>8*p&255;this.pickOffset=r,i.bind();var d=i.uniforms;d.viewTransform=t,d.pickOffset=e,d.shape=this.shape;var v=i.attributes;return this.positionBuffer.bind(),v.position.pointer(),this.weightBuffer.bind(),v.weight.pointer(s.UNSIGNED_BYTE,!1),this.idBuffer.bind(),v.pickId.pointer(s.UNSIGNED_BYTE,!1),s.drawArrays(s.TRIANGLES,0,o),r+this.shape[0]*this.shape[1]}}}(),f.pick=function(t,e,r){var n=this.pickOffset,i=this.shape[0]*this.shape[1];if(r=n+i)return null;var a=r-n,o=this.xData,s=this.yData;return{object:this,pointId:a,dataCoord:[o[a%this.shape[0]],s[a/this.shape[0]|0]]}},f.update=function(t){var e=(t=t||{}).shape||[0,0],r=t.x||i(e[0]),o=t.y||i(e[1]),s=t.z||new Float32Array(e[0]*e[1]),l=!1!==t.zsmooth;this.xData=r,this.yData=o;var u,c,f,p,d=t.colorLevels||[0],v=t.colorValues||[0,0,0,1],g=d.length,y=this.bounds;l?(u=y[0]=r[0],c=y[1]=o[0],f=y[2]=r[r.length-1],p=y[3]=o[o.length-1]):(u=y[0]=r[0]+(r[1]-r[0])/2,c=y[1]=o[0]+(o[1]-o[0])/2,f=y[2]=r[r.length-1]+(r[r.length-1]-r[r.length-2])/2,p=y[3]=o[o.length-1]+(o[o.length-1]-o[o.length-2])/2);var m=1/(f-u),x=1/(p-c),b=e[0],_=e[1];this.shape=[b,_];var w=(l?(b-1)*(_-1):b*_)*(h.length>>>1);this.numVertices=w;for(var T=a.mallocUint8(4*w),k=a.mallocFloat32(2*w),A=a.mallocUint8(2*w),M=a.mallocUint32(w),S=0,E=l?b-1:b,L=l?_-1:_,C=0;C max(a, b)) || \n (p < min(a, b)));\n}\n\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\n return (outOfRange(a.x, b.x, p.x) ||\n outOfRange(a.y, b.y, p.y));\n}\n\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\n return (outOfRange(a.x, b.x, p.x) ||\n outOfRange(a.y, b.y, p.y) ||\n outOfRange(a.z, b.z, p.z));\n}\n\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\n return outOfRange(a.xyz, b.xyz, p.xyz);\n}\n\nuniform vec3 clipBounds[2];\nuniform sampler2D dashTexture;\nuniform float dashScale;\nuniform float opacity;\n\nvarying vec3 worldPosition;\nvarying float pixelArcLength;\nvarying vec4 fragColor;\n\nvoid main() {\n if (\n outOfRange(clipBounds[0], clipBounds[1], worldPosition) ||\n fragColor.a * opacity == 0.\n ) discard;\n\n float dashWeight = texture2D(dashTexture, vec2(dashScale * pixelArcLength, 0)).r;\n if(dashWeight < 0.5) {\n discard;\n }\n gl_FragColor = fragColor * opacity;\n}\n"]),s=n(["precision highp float;\n#define GLSLIFY 1\n\n#define FLOAT_MAX 1.70141184e38\n#define FLOAT_MIN 1.17549435e-38\n\n// https://github.com/mikolalysenko/glsl-read-float/blob/master/index.glsl\nvec4 packFloat(float v) {\n float av = abs(v);\n\n //Handle special cases\n if(av < FLOAT_MIN) {\n return vec4(0.0, 0.0, 0.0, 0.0);\n } else if(v > FLOAT_MAX) {\n return vec4(127.0, 128.0, 0.0, 0.0) / 255.0;\n } else if(v < -FLOAT_MAX) {\n return vec4(255.0, 128.0, 0.0, 0.0) / 255.0;\n }\n\n vec4 c = vec4(0,0,0,0);\n\n //Compute exponent and mantissa\n float e = floor(log2(av));\n float m = av * pow(2.0, -e) - 1.0;\n\n //Unpack mantissa\n c[1] = floor(128.0 * m);\n m -= c[1] / 128.0;\n c[2] = floor(32768.0 * m);\n m -= c[2] / 32768.0;\n c[3] = floor(8388608.0 * m);\n\n //Unpack exponent\n float ebias = e + 127.0;\n c[0] = floor(ebias / 2.0);\n ebias -= c[0] * 2.0;\n c[1] += floor(ebias) * 128.0;\n\n //Unpack sign bit\n c[0] += 128.0 * step(0.0, -v);\n\n //Scale back to range\n return c / 255.0;\n}\n\nbool outOfRange(float a, float b, float p) {\n return ((p > max(a, b)) || \n (p < min(a, b)));\n}\n\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\n return (outOfRange(a.x, b.x, p.x) ||\n outOfRange(a.y, b.y, p.y));\n}\n\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\n return (outOfRange(a.x, b.x, p.x) ||\n outOfRange(a.y, b.y, p.y) ||\n outOfRange(a.z, b.z, p.z));\n}\n\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\n return outOfRange(a.xyz, b.xyz, p.xyz);\n}\n\nuniform float pickId;\nuniform vec3 clipBounds[2];\n\nvarying vec3 worldPosition;\nvarying float pixelArcLength;\nvarying vec4 fragColor;\n\nvoid main() {\n if (outOfRange(clipBounds[0], clipBounds[1], worldPosition)) discard;\n\n gl_FragColor = vec4(pickId/255.0, packFloat(pixelArcLength).xyz);\n}"]),l=[{name:"position",type:"vec3"},{name:"nextPosition",type:"vec3"},{name:"arcLength",type:"float"},{name:"lineWidth",type:"float"},{name:"color",type:"vec4"}];e.createShader=function(t){return i(t,a,o,null,l)},e.createPickShader=function(t){return i(t,a,s,null,l)}},6086:function(t,e,r){"use strict";t.exports=function(t){var e=t.gl||t.scene&&t.scene.gl,r=f(e);r.attributes.position.location=0,r.attributes.nextPosition.location=1,r.attributes.arcLength.location=2,r.attributes.lineWidth.location=3,r.attributes.color.location=4;var o=h(e);o.attributes.position.location=0,o.attributes.nextPosition.location=1,o.attributes.arcLength.location=2,o.attributes.lineWidth.location=3,o.attributes.color.location=4;for(var s=n(e),l=i(e,[{buffer:s,size:3,offset:0,stride:48},{buffer:s,size:3,offset:12,stride:48},{buffer:s,size:1,offset:24,stride:48},{buffer:s,size:1,offset:28,stride:48},{buffer:s,size:4,offset:32,stride:48}]),c=u(new Array(1024),[256,1,4]),p=0;p<1024;++p)c.data[p]=255;var d=a(e,c);d.wrap=e.REPEAT;var v=new y(e,r,o,s,l,d);return v.update(t),v};var n=r(5827),i=r(2944),a=r(8931),o=new Uint8Array(4),s=new Float32Array(o.buffer),l=r(5070),u=r(5050),c=r(248),f=c.createShader,h=c.createPickShader,p=[1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1];function d(t,e){for(var r=0,n=0;n<3;++n){var i=t[n]-e[n];r+=i*i}return Math.sqrt(r)}function v(t){for(var e=[[-1e6,-1e6,-1e6],[1e6,1e6,1e6]],r=0;r<3;++r)e[0][r]=Math.max(t[0][r],e[0][r]),e[1][r]=Math.min(t[1][r],e[1][r]);return e}function g(t,e,r,n){this.arcLength=t,this.position=e,this.index=r,this.dataCoordinate=n}function y(t,e,r,n,i,a){this.gl=t,this.shader=e,this.pickShader=r,this.buffer=n,this.vao=i,this.clipBounds=[[-1/0,-1/0,-1/0],[1/0,1/0,1/0]],this.points=[],this.arcLength=[],this.vertexCount=0,this.bounds=[[0,0,0],[0,0,0]],this.pickId=0,this.lineWidth=1,this.texture=a,this.dashScale=1,this.opacity=1,this.hasAlpha=!1,this.dirty=!0,this.pixelRatio=1}var m=y.prototype;m.isTransparent=function(){return this.hasAlpha},m.isOpaque=function(){return!this.hasAlpha},m.pickSlots=1,m.setPickBase=function(t){this.pickId=t},m.drawTransparent=m.draw=function(t){if(this.vertexCount){var e=this.gl,r=this.shader,n=this.vao;r.bind(),r.uniforms={model:t.model||p,view:t.view||p,projection:t.projection||p,clipBounds:v(this.clipBounds),dashTexture:this.texture.bind(),dashScale:this.dashScale/this.arcLength[this.arcLength.length-1],opacity:this.opacity,screenShape:[e.drawingBufferWidth,e.drawingBufferHeight],pixelRatio:this.pixelRatio},n.bind(),n.draw(e.TRIANGLE_STRIP,this.vertexCount),n.unbind()}},m.drawPick=function(t){if(this.vertexCount){var e=this.gl,r=this.pickShader,n=this.vao;r.bind(),r.uniforms={model:t.model||p,view:t.view||p,projection:t.projection||p,pickId:this.pickId,clipBounds:v(this.clipBounds),screenShape:[e.drawingBufferWidth,e.drawingBufferHeight],pixelRatio:this.pixelRatio},n.bind(),n.draw(e.TRIANGLE_STRIP,this.vertexCount),n.unbind()}},m.update=function(t){var e,r;this.dirty=!0;var n=!!t.connectGaps;"dashScale"in t&&(this.dashScale=t.dashScale),this.hasAlpha=!1,"opacity"in t&&(this.opacity=+t.opacity,this.opacity<1&&(this.hasAlpha=!0));var i=[],a=[],o=[],s=0,c=0,f=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]],h=t.position||t.positions;if(h){var p=t.color||t.colors||[0,0,0,1],v=t.lineWidth||1,g=!1;t:for(e=1;e0){for(var w=0;w<24;++w)i.push(i[i.length-12]);c+=2,g=!0}continue t}f[0][r]=Math.min(f[0][r],b[r],_[r]),f[1][r]=Math.max(f[1][r],b[r],_[r])}Array.isArray(p[0])?(y=p.length>e-1?p[e-1]:p.length>0?p[p.length-1]:[0,0,0,1],m=p.length>e?p[e]:p.length>0?p[p.length-1]:[0,0,0,1]):y=m=p,3===y.length&&(y=[y[0],y[1],y[2],1]),3===m.length&&(m=[m[0],m[1],m[2],1]),!this.hasAlpha&&y[3]<1&&(this.hasAlpha=!0),x=Array.isArray(v)?v.length>e-1?v[e-1]:v.length>0?v[v.length-1]:[0,0,0,1]:v;var T=s;if(s+=d(b,_),g){for(r=0;r<2;++r)i.push(b[0],b[1],b[2],_[0],_[1],_[2],T,x,y[0],y[1],y[2],y[3]);c+=2,g=!1}i.push(b[0],b[1],b[2],_[0],_[1],_[2],T,x,y[0],y[1],y[2],y[3],b[0],b[1],b[2],_[0],_[1],_[2],T,-x,y[0],y[1],y[2],y[3],_[0],_[1],_[2],b[0],b[1],b[2],s,-x,m[0],m[1],m[2],m[3],_[0],_[1],_[2],b[0],b[1],b[2],s,x,m[0],m[1],m[2],m[3]),c+=4}}if(this.buffer.update(i),a.push(s),o.push(h[h.length-1].slice()),this.bounds=f,this.vertexCount=c,this.points=o,this.arcLength=a,"dashes"in t){var k=t.dashes.slice();for(k.unshift(0),e=1;e1.0001)return null;y+=g[f]}return Math.abs(y-1)>.001?null:[h,s(t,g),g]}},2056:function(t,e,r){var n=r(6832),i=n(["precision highp float;\n#define GLSLIFY 1\n\nattribute vec3 position, normal;\nattribute vec4 color;\nattribute vec2 uv;\n\nuniform mat4 model\n , view\n , projection\n , inverseModel;\nuniform vec3 eyePosition\n , lightPosition;\n\nvarying vec3 f_normal\n , f_lightDirection\n , f_eyeDirection\n , f_data;\nvarying vec4 f_color;\nvarying vec2 f_uv;\n\nvec4 project(vec3 p) {\n return projection * view * model * vec4(p, 1.0);\n}\n\nvoid main() {\n gl_Position = project(position);\n\n //Lighting geometry parameters\n vec4 cameraCoordinate = view * vec4(position , 1.0);\n cameraCoordinate.xyz /= cameraCoordinate.w;\n f_lightDirection = lightPosition - cameraCoordinate.xyz;\n f_eyeDirection = eyePosition - cameraCoordinate.xyz;\n f_normal = normalize((vec4(normal, 0.0) * inverseModel).xyz);\n\n f_color = color;\n f_data = position;\n f_uv = uv;\n}\n"]),a=n(["#extension GL_OES_standard_derivatives : enable\n\nprecision highp float;\n#define GLSLIFY 1\n\nfloat beckmannDistribution(float x, float roughness) {\n float NdotH = max(x, 0.0001);\n float cos2Alpha = NdotH * NdotH;\n float tan2Alpha = (cos2Alpha - 1.0) / cos2Alpha;\n float roughness2 = roughness * roughness;\n float denom = 3.141592653589793 * roughness2 * cos2Alpha * cos2Alpha;\n return exp(tan2Alpha / roughness2) / denom;\n}\n\nfloat cookTorranceSpecular(\n vec3 lightDirection,\n vec3 viewDirection,\n vec3 surfaceNormal,\n float roughness,\n float fresnel) {\n\n float VdotN = max(dot(viewDirection, surfaceNormal), 0.0);\n float LdotN = max(dot(lightDirection, surfaceNormal), 0.0);\n\n //Half angle vector\n vec3 H = normalize(lightDirection + viewDirection);\n\n //Geometric term\n float NdotH = max(dot(surfaceNormal, H), 0.0);\n float VdotH = max(dot(viewDirection, H), 0.000001);\n float LdotH = max(dot(lightDirection, H), 0.000001);\n float G1 = (2.0 * NdotH * VdotN) / VdotH;\n float G2 = (2.0 * NdotH * LdotN) / LdotH;\n float G = min(1.0, min(G1, G2));\n \n //Distribution term\n float D = beckmannDistribution(NdotH, roughness);\n\n //Fresnel term\n float F = pow(1.0 - VdotN, fresnel);\n\n //Multiply terms and done\n return G * F * D / max(3.14159265 * VdotN, 0.000001);\n}\n\n//#pragma glslify: beckmann = require(glsl-specular-beckmann) // used in gl-surface3d\n\nbool outOfRange(float a, float b, float p) {\n return ((p > max(a, b)) || \n (p < min(a, b)));\n}\n\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\n return (outOfRange(a.x, b.x, p.x) ||\n outOfRange(a.y, b.y, p.y));\n}\n\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\n return (outOfRange(a.x, b.x, p.x) ||\n outOfRange(a.y, b.y, p.y) ||\n outOfRange(a.z, b.z, p.z));\n}\n\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\n return outOfRange(a.xyz, b.xyz, p.xyz);\n}\n\nuniform vec3 clipBounds[2];\nuniform float roughness\n , fresnel\n , kambient\n , kdiffuse\n , kspecular;\nuniform sampler2D texture;\n\nvarying vec3 f_normal\n , f_lightDirection\n , f_eyeDirection\n , f_data;\nvarying vec4 f_color;\nvarying vec2 f_uv;\n\nvoid main() {\n if (f_color.a == 0.0 ||\n outOfRange(clipBounds[0], clipBounds[1], f_data)\n ) discard;\n\n vec3 N = normalize(f_normal);\n vec3 L = normalize(f_lightDirection);\n vec3 V = normalize(f_eyeDirection);\n\n if(gl_FrontFacing) {\n N = -N;\n }\n\n float specular = min(1.0, max(0.0, cookTorranceSpecular(L, V, N, roughness, fresnel)));\n //float specular = max(0.0, beckmann(L, V, N, roughness)); // used in gl-surface3d\n\n float diffuse = min(kambient + kdiffuse * max(dot(N, L), 0.0), 1.0);\n\n vec4 surfaceColor = vec4(f_color.rgb, 1.0) * texture2D(texture, f_uv);\n vec4 litColor = surfaceColor.a * vec4(diffuse * surfaceColor.rgb + kspecular * vec3(1,1,1) * specular, 1.0);\n\n gl_FragColor = litColor * f_color.a;\n}\n"]),o=n(["precision highp float;\n#define GLSLIFY 1\n\nattribute vec3 position;\nattribute vec4 color;\nattribute vec2 uv;\n\nuniform mat4 model, view, projection;\n\nvarying vec4 f_color;\nvarying vec3 f_data;\nvarying vec2 f_uv;\n\nvoid main() {\n gl_Position = projection * view * model * vec4(position, 1.0);\n f_color = color;\n f_data = position;\n f_uv = uv;\n}"]),s=n(["precision highp float;\n#define GLSLIFY 1\n\nbool outOfRange(float a, float b, float p) {\n return ((p > max(a, b)) || \n (p < min(a, b)));\n}\n\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\n return (outOfRange(a.x, b.x, p.x) ||\n outOfRange(a.y, b.y, p.y));\n}\n\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\n return (outOfRange(a.x, b.x, p.x) ||\n outOfRange(a.y, b.y, p.y) ||\n outOfRange(a.z, b.z, p.z));\n}\n\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\n return outOfRange(a.xyz, b.xyz, p.xyz);\n}\n\nuniform vec3 clipBounds[2];\nuniform sampler2D texture;\nuniform float opacity;\n\nvarying vec4 f_color;\nvarying vec3 f_data;\nvarying vec2 f_uv;\n\nvoid main() {\n if (outOfRange(clipBounds[0], clipBounds[1], f_data)) discard;\n\n gl_FragColor = f_color * texture2D(texture, f_uv) * opacity;\n}"]),l=n(["precision highp float;\n#define GLSLIFY 1\n\nbool outOfRange(float a, float b, float p) {\n return ((p > max(a, b)) || \n (p < min(a, b)));\n}\n\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\n return (outOfRange(a.x, b.x, p.x) ||\n outOfRange(a.y, b.y, p.y));\n}\n\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\n return (outOfRange(a.x, b.x, p.x) ||\n outOfRange(a.y, b.y, p.y) ||\n outOfRange(a.z, b.z, p.z));\n}\n\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\n return outOfRange(a.xyz, b.xyz, p.xyz);\n}\n\nattribute vec3 position;\nattribute vec4 color;\nattribute vec2 uv;\nattribute float pointSize;\n\nuniform mat4 model, view, projection;\nuniform vec3 clipBounds[2];\n\nvarying vec4 f_color;\nvarying vec2 f_uv;\n\nvoid main() {\n if (outOfRange(clipBounds[0], clipBounds[1], position)) {\n\n gl_Position = vec4(0.0, 0.0 ,0.0 ,0.0);\n } else {\n gl_Position = projection * view * model * vec4(position, 1.0);\n }\n gl_PointSize = pointSize;\n f_color = color;\n f_uv = uv;\n}"]),u=n(["precision highp float;\n#define GLSLIFY 1\n\nuniform sampler2D texture;\nuniform float opacity;\n\nvarying vec4 f_color;\nvarying vec2 f_uv;\n\nvoid main() {\n vec2 pointR = gl_PointCoord.xy - vec2(0.5, 0.5);\n if(dot(pointR, pointR) > 0.25) {\n discard;\n }\n gl_FragColor = f_color * texture2D(texture, f_uv) * opacity;\n}"]),c=n(["precision highp float;\n#define GLSLIFY 1\n\nattribute vec3 position;\nattribute vec4 id;\n\nuniform mat4 model, view, projection;\n\nvarying vec3 f_position;\nvarying vec4 f_id;\n\nvoid main() {\n gl_Position = projection * view * model * vec4(position, 1.0);\n f_id = id;\n f_position = position;\n}"]),f=n(["precision highp float;\n#define GLSLIFY 1\n\nbool outOfRange(float a, float b, float p) {\n return ((p > max(a, b)) || \n (p < min(a, b)));\n}\n\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\n return (outOfRange(a.x, b.x, p.x) ||\n outOfRange(a.y, b.y, p.y));\n}\n\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\n return (outOfRange(a.x, b.x, p.x) ||\n outOfRange(a.y, b.y, p.y) ||\n outOfRange(a.z, b.z, p.z));\n}\n\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\n return outOfRange(a.xyz, b.xyz, p.xyz);\n}\n\nuniform vec3 clipBounds[2];\nuniform float pickId;\n\nvarying vec3 f_position;\nvarying vec4 f_id;\n\nvoid main() {\n if (outOfRange(clipBounds[0], clipBounds[1], f_position)) discard;\n\n gl_FragColor = vec4(pickId, f_id.xyz);\n}"]),h=n(["precision highp float;\n#define GLSLIFY 1\n\nbool outOfRange(float a, float b, float p) {\n return ((p > max(a, b)) || \n (p < min(a, b)));\n}\n\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\n return (outOfRange(a.x, b.x, p.x) ||\n outOfRange(a.y, b.y, p.y));\n}\n\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\n return (outOfRange(a.x, b.x, p.x) ||\n outOfRange(a.y, b.y, p.y) ||\n outOfRange(a.z, b.z, p.z));\n}\n\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\n return outOfRange(a.xyz, b.xyz, p.xyz);\n}\n\nattribute vec3 position;\nattribute float pointSize;\nattribute vec4 id;\n\nuniform mat4 model, view, projection;\nuniform vec3 clipBounds[2];\n\nvarying vec3 f_position;\nvarying vec4 f_id;\n\nvoid main() {\n if (outOfRange(clipBounds[0], clipBounds[1], position)) {\n\n gl_Position = vec4(0.0, 0.0, 0.0, 0.0);\n } else {\n gl_Position = projection * view * model * vec4(position, 1.0);\n gl_PointSize = pointSize;\n }\n f_id = id;\n f_position = position;\n}"]),p=n(["precision highp float;\n#define GLSLIFY 1\n\nattribute vec3 position;\n\nuniform mat4 model, view, projection;\n\nvoid main() {\n gl_Position = projection * view * model * vec4(position, 1.0);\n}"]),d=n(["precision highp float;\n#define GLSLIFY 1\n\nuniform vec3 contourColor;\n\nvoid main() {\n gl_FragColor = vec4(contourColor, 1.0);\n}\n"]);e.meshShader={vertex:i,fragment:a,attributes:[{name:"position",type:"vec3"},{name:"normal",type:"vec3"},{name:"color",type:"vec4"},{name:"uv",type:"vec2"}]},e.wireShader={vertex:o,fragment:s,attributes:[{name:"position",type:"vec3"},{name:"color",type:"vec4"},{name:"uv",type:"vec2"}]},e.pointShader={vertex:l,fragment:u,attributes:[{name:"position",type:"vec3"},{name:"color",type:"vec4"},{name:"uv",type:"vec2"},{name:"pointSize",type:"float"}]},e.pickShader={vertex:c,fragment:f,attributes:[{name:"position",type:"vec3"},{name:"id",type:"vec4"}]},e.pointPickShader={vertex:h,fragment:f,attributes:[{name:"position",type:"vec3"},{name:"pointSize",type:"float"},{name:"id",type:"vec4"}]},e.contourShader={vertex:p,fragment:d,attributes:[{name:"position",type:"vec3"}]}},8116:function(t,e,r){"use strict";var n=r(5158),i=r(5827),a=r(2944),o=r(8931),s=r(115),l=r(104),u=r(7437),c=r(5050),f=r(9156),h=r(7212),p=r(5306),d=r(2056),v=r(4340),g=d.meshShader,y=d.wireShader,m=d.pointShader,x=d.pickShader,b=d.pointPickShader,_=d.contourShader,w=[1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1];function T(t,e,r,n,i,a,o,s,l,u,c,f,h,p,d,v,g,y,m,x,b,_,T,k,A,M,S){this.gl=t,this.pixelRatio=1,this.cells=[],this.positions=[],this.intensity=[],this.texture=e,this.dirty=!0,this.triShader=r,this.lineShader=n,this.pointShader=i,this.pickShader=a,this.pointPickShader=o,this.contourShader=s,this.trianglePositions=l,this.triangleColors=c,this.triangleNormals=h,this.triangleUVs=f,this.triangleIds=u,this.triangleVAO=p,this.triangleCount=0,this.lineWidth=1,this.edgePositions=d,this.edgeColors=g,this.edgeUVs=y,this.edgeIds=v,this.edgeVAO=m,this.edgeCount=0,this.pointPositions=x,this.pointColors=_,this.pointUVs=T,this.pointSizes=k,this.pointIds=b,this.pointVAO=A,this.pointCount=0,this.contourLineWidth=1,this.contourPositions=M,this.contourVAO=S,this.contourCount=0,this.contourColor=[0,0,0],this.contourEnable=!0,this.pickVertex=!0,this.pickId=1,this.bounds=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]],this.clipBounds=[[-1/0,-1/0,-1/0],[1/0,1/0,1/0]],this.lightPosition=[1e5,1e5,0],this.ambientLight=.8,this.diffuseLight=.8,this.specularLight=2,this.roughness=.5,this.fresnel=1.5,this.opacity=1,this.hasAlpha=!1,this.opacityscale=!1,this._model=w,this._view=w,this._projection=w,this._resolution=[1,1]}var k=T.prototype;function A(t,e){if(!e)return 1;if(!e.length)return 1;for(var r=0;rt&&r>0){var n=(e[r][0]-t)/(e[r][0]-e[r-1][0]);return e[r][1]*(1-n)+n*e[r-1][1]}}return 1}function M(t){var e=n(t,m.vertex,m.fragment);return e.attributes.position.location=0,e.attributes.color.location=2,e.attributes.uv.location=3,e.attributes.pointSize.location=4,e}function S(t){var e=n(t,x.vertex,x.fragment);return e.attributes.position.location=0,e.attributes.id.location=1,e}function E(t){var e=n(t,b.vertex,b.fragment);return e.attributes.position.location=0,e.attributes.id.location=1,e.attributes.pointSize.location=4,e}function L(t){var e=n(t,_.vertex,_.fragment);return e.attributes.position.location=0,e}k.isOpaque=function(){return!this.hasAlpha},k.isTransparent=function(){return this.hasAlpha},k.pickSlots=1,k.setPickBase=function(t){this.pickId=t},k.highlight=function(t){if(t&&this.contourEnable){for(var e=h(this.cells,this.intensity,t.intensity),r=e.cells,n=e.vertexIds,i=e.vertexWeights,a=r.length,o=p.mallocFloat32(6*a),s=0,l=0;l0&&((f=this.triShader).bind(),f.uniforms=s,this.triangleVAO.bind(),e.drawArrays(e.TRIANGLES,0,3*this.triangleCount),this.triangleVAO.unbind()),this.edgeCount>0&&this.lineWidth>0&&((f=this.lineShader).bind(),f.uniforms=s,this.edgeVAO.bind(),e.lineWidth(this.lineWidth*this.pixelRatio),e.drawArrays(e.LINES,0,2*this.edgeCount),this.edgeVAO.unbind()),this.pointCount>0&&((f=this.pointShader).bind(),f.uniforms=s,this.pointVAO.bind(),e.drawArrays(e.POINTS,0,this.pointCount),this.pointVAO.unbind()),this.contourEnable&&this.contourCount>0&&this.contourLineWidth>0&&((f=this.contourShader).bind(),f.uniforms=s,this.contourVAO.bind(),e.drawArrays(e.LINES,0,this.contourCount),this.contourVAO.unbind())},k.drawPick=function(t){t=t||{};for(var e=this.gl,r=t.model||w,n=t.view||w,i=t.projection||w,a=[[-1e6,-1e6,-1e6],[1e6,1e6,1e6]],o=0;o<3;++o)a[0][o]=Math.max(a[0][o],this.clipBounds[0][o]),a[1][o]=Math.min(a[1][o],this.clipBounds[1][o]);this._model=[].slice.call(r),this._view=[].slice.call(n),this._projection=[].slice.call(i),this._resolution=[e.drawingBufferWidth,e.drawingBufferHeight];var s,l={model:r,view:n,projection:i,clipBounds:a,pickId:this.pickId/255};(s=this.pickShader).bind(),s.uniforms=l,this.triangleCount>0&&(this.triangleVAO.bind(),e.drawArrays(e.TRIANGLES,0,3*this.triangleCount),this.triangleVAO.unbind()),this.edgeCount>0&&(this.edgeVAO.bind(),e.lineWidth(this.lineWidth*this.pixelRatio),e.drawArrays(e.LINES,0,2*this.edgeCount),this.edgeVAO.unbind()),this.pointCount>0&&((s=this.pointPickShader).bind(),s.uniforms=l,this.pointVAO.bind(),e.drawArrays(e.POINTS,0,this.pointCount),this.pointVAO.unbind())},k.pick=function(t){if(!t)return null;if(t.id!==this.pickId)return null;for(var e=t.value[0]+256*t.value[1]+65536*t.value[2],r=this.cells[e],n=this.positions,i=new Array(r.length),a=0;ai[k]&&(r.uniforms.dataAxis=u,r.uniforms.screenOffset=c,r.uniforms.color=g[t],r.uniforms.angle=y[t],a.drawArrays(a.TRIANGLES,i[k],i[A]-i[k]))),m[t]&&T&&(c[1^t]-=M*p*x[t],r.uniforms.dataAxis=f,r.uniforms.screenOffset=c,r.uniforms.color=b[t],r.uniforms.angle=_[t],a.drawArrays(a.TRIANGLES,w,T)),c[1^t]=M*s[2+(1^t)]-1,d[t+2]&&(c[1^t]+=M*p*v[t+2],ki[k]&&(r.uniforms.dataAxis=u,r.uniforms.screenOffset=c,r.uniforms.color=g[t+2],r.uniforms.angle=y[t+2],a.drawArrays(a.TRIANGLES,i[k],i[A]-i[k]))),m[t+2]&&T&&(c[1^t]+=M*p*x[t+2],r.uniforms.dataAxis=f,r.uniforms.screenOffset=c,r.uniforms.color=b[t+2],r.uniforms.angle=_[t+2],a.drawArrays(a.TRIANGLES,w,T))}),v.drawTitle=function(){var t=[0,0],e=[0,0];return function(){var r=this.plot,n=this.shader,i=r.gl,a=r.screenBox,o=r.titleCenter,s=r.titleAngle,l=r.titleColor,u=r.pixelRatio;if(this.titleCount){for(var c=0;c<2;++c)e[c]=2*(o[c]*u-a[c])/(a[2+c]-a[c])-1;n.bind(),n.uniforms.dataAxis=t,n.uniforms.screenOffset=e,n.uniforms.angle=s,n.uniforms.color=l,i.drawArrays(i.TRIANGLES,this.titleOffset,this.titleCount)}}}(),v.bind=(h=[0,0],p=[0,0],d=[0,0],function(){var t=this.plot,e=this.shader,r=t._tickBounds,n=t.dataBox,i=t.screenBox,a=t.viewBox;e.bind();for(var o=0;o<2;++o){var s=r[o],l=r[o+2]-s,u=.5*(n[o+2]+n[o]),c=n[o+2]-n[o],f=a[o],v=a[o+2]-f,g=i[o],y=i[o+2]-g;p[o]=2*l/c*v/y,h[o]=2*(s-u)/c*v/y}d[1]=2*t.pixelRatio/(i[3]-i[1]),d[0]=d[1]*(i[3]-i[1])/(i[2]-i[0]),e.uniforms.dataScale=p,e.uniforms.dataShift=h,e.uniforms.textScale=d,this.vbo.bind(),e.attributes.textCoordinate.pointer()}),v.update=function(t){var e,r,n,i,o,s=[],l=t.ticks,u=t.bounds;for(o=0;o<2;++o){var c=[Math.floor(s.length/3)],f=[-1/0],h=l[o];for(e=0;e=0){var v=e[d]-n[d]*(e[d+2]-e[d])/(n[d+2]-n[d]);0===d?o.drawLine(v,e[1],v,e[3],p[d],h[d]):o.drawLine(e[0],v,e[2],v,p[d],h[d])}}for(d=0;d=0;--t)this.objects[t].dispose();for(this.objects.length=0,t=this.overlays.length-1;t>=0;--t)this.overlays[t].dispose();this.overlays.length=0,this.gl=null},u.addObject=function(t){this.objects.indexOf(t)<0&&(this.objects.push(t),this.setDirty())},u.removeObject=function(t){for(var e=this.objects,r=0;rMath.abs(e))u.rotate(a,0,0,-t*r*Math.PI*d.rotateSpeed/window.innerWidth);else if(!d._ortho){var o=-d.zoomSpeed*i*e/window.innerHeight*(a-u.lastT())/20;u.pan(a,0,0,f*(Math.exp(o)-1))}}}),!0)},d.enableMouseListeners(),d};var n=r(8161),i=r(1152),a=r(6145),o=r(6475),s=r(2565),l=r(5233)},8245:function(t,e,r){var n=r(6832),i=r(5158),a=n(["precision mediump float;\n#define GLSLIFY 1\nattribute vec2 position;\nvarying vec2 uv;\nvoid main() {\n uv = position;\n gl_Position = vec4(position, 0, 1);\n}"]),o=n(["precision mediump float;\n#define GLSLIFY 1\n\nuniform sampler2D accumBuffer;\nvarying vec2 uv;\n\nvoid main() {\n vec4 accum = texture2D(accumBuffer, 0.5 * (uv + 1.0));\n gl_FragColor = min(vec4(1,1,1,1), accum);\n}"]);t.exports=function(t){return i(t,a,o,null,[{name:"position",type:"vec2"}])}},1059:function(t,e,r){"use strict";var n=r(4296),i=r(7453),a=r(2771),o=r(6496),s=r(2611),l=r(4234),u=r(8126),c=r(6145),f=r(1120),h=r(5268),p=r(8245),d=r(2321)({tablet:!0,featureDetect:!0});function v(){this.mouse=[-1,-1],this.screen=null,this.distance=1/0,this.index=null,this.dataCoordinate=null,this.dataPosition=null,this.object=null,this.data=null}function g(t){var e=Math.round(Math.log(Math.abs(t))/Math.log(10));if(e<0){var r=Math.round(Math.pow(10,-e));return Math.ceil(t*r)/r}return e>0?(r=Math.round(Math.pow(10,e)),Math.ceil(t/r)*r):Math.ceil(t)}function y(t){return"boolean"!=typeof t||t}t.exports={createScene:function(t){(t=t||{}).camera=t.camera||{};var e=t.canvas;e||(e=document.createElement("canvas"),t.container?t.container.appendChild(e):document.body.appendChild(e));var r=t.gl;if(r||(t.glOptions&&(d=!!t.glOptions.preserveDrawingBuffer),r=function(t,e){var r=null;try{(r=t.getContext("webgl",e))||(r=t.getContext("experimental-webgl",e))}catch(t){return null}return r}(e,t.glOptions||{premultipliedAlpha:!0,antialias:!0,preserveDrawingBuffer:d})),!r)throw new Error("webgl not supported");var m=t.bounds||[[-10,-10,-10],[10,10,10]],x=new v,b=l(r,r.drawingBufferWidth,r.drawingBufferHeight,{preferFloat:!d}),_=p(r),w=t.cameraObject&&!0===t.cameraObject._ortho||t.camera.projection&&"orthographic"===t.camera.projection.type||!1,T={eye:t.camera.eye||[2,0,0],center:t.camera.center||[0,0,0],up:t.camera.up||[0,1,0],zoomMin:t.camera.zoomMax||.1,zoomMax:t.camera.zoomMin||100,mode:t.camera.mode||"turntable",_ortho:w},k=t.axes||{},A=i(r,k);A.enable=!k.disable;var M=t.spikes||{},S=o(r,M),E=[],L=[],C=[],P=[],O=!0,I=!0,D={view:null,projection:new Array(16),model:new Array(16),_ortho:!1},z=(I=!0,[r.drawingBufferWidth,r.drawingBufferHeight]),R=t.cameraObject||n(e,T),F={gl:r,contextLost:!1,pixelRatio:t.pixelRatio||1,canvas:e,selection:x,camera:R,axes:A,axesPixels:null,spikes:S,bounds:m,objects:E,shape:z,aspect:t.aspectRatio||[1,1,1],pickRadius:t.pickRadius||10,zNear:t.zNear||.01,zFar:t.zFar||1e3,fovy:t.fovy||Math.PI/4,clearColor:t.clearColor||[0,0,0,0],autoResize:y(t.autoResize),autoBounds:y(t.autoBounds),autoScale:!!t.autoScale,autoCenter:y(t.autoCenter),clipToBounds:y(t.clipToBounds),snapToData:!!t.snapToData,onselect:t.onselect||null,onrender:t.onrender||null,onclick:t.onclick||null,cameraParams:D,oncontextloss:null,mouseListener:null,_stopped:!1,getAspectratio:function(){return{x:this.aspect[0],y:this.aspect[1],z:this.aspect[2]}},setAspectratio:function(t){this.aspect[0]=t.x,this.aspect[1]=t.y,this.aspect[2]=t.z,I=!0},setBounds:function(t,e){this.bounds[0][t]=e.min,this.bounds[1][t]=e.max},setClearColor:function(t){this.clearColor=t},clearRGBA:function(){this.gl.clearColor(this.clearColor[0],this.clearColor[1],this.clearColor[2],this.clearColor[3]),this.gl.clear(this.gl.COLOR_BUFFER_BIT|this.gl.DEPTH_BUFFER_BIT)}},B=[r.drawingBufferWidth/F.pixelRatio|0,r.drawingBufferHeight/F.pixelRatio|0];function N(){if(!F._stopped&&F.autoResize){var t=e.parentNode,r=1,n=1;t&&t!==document.body?(r=t.clientWidth,n=t.clientHeight):(r=window.innerWidth,n=window.innerHeight);var i=0|Math.ceil(r*F.pixelRatio),a=0|Math.ceil(n*F.pixelRatio);if(i!==e.width||a!==e.height){e.width=i,e.height=a;var o=e.style;o.position=o.position||"absolute",o.left="0px",o.top="0px",o.width=r+"px",o.height=n+"px",O=!0}}}function j(){for(var t=E.length,e=P.length,n=0;n0&&0===C[e-1];)C.pop(),P.pop().dispose()}function U(){if(F.contextLost)return!0;r.isContextLost()&&(F.contextLost=!0,F.mouseListener.enabled=!1,F.selection.object=null,F.oncontextloss&&F.oncontextloss())}F.autoResize&&N(),window.addEventListener("resize",N),F.update=function(t){F._stopped||(t=t||{},O=!0,I=!0)},F.add=function(t){F._stopped||(t.axes=A,E.push(t),L.push(-1),O=!0,I=!0,j())},F.remove=function(t){if(!F._stopped){var e=E.indexOf(t);e<0||(E.splice(e,1),L.pop(),O=!0,I=!0,j())}},F.dispose=function(){if(!F._stopped&&(F._stopped=!0,window.removeEventListener("resize",N),e.removeEventListener("webglcontextlost",U),F.mouseListener.enabled=!1,!F.contextLost)){A.dispose(),S.dispose();for(var t=0;tx.distance)continue;for(var u=0;u 1.0) {\n discard;\n }\n baseColor = mix(borderColor, color, step(radius, centerFraction));\n gl_FragColor = vec4(baseColor.rgb * baseColor.a, baseColor.a);\n }\n}\n"]),e.pickVertex=n(["precision mediump float;\n#define GLSLIFY 1\n\nattribute vec2 position;\nattribute vec4 pickId;\n\nuniform mat3 matrix;\nuniform float pointSize;\nuniform vec4 pickOffset;\n\nvarying vec4 fragId;\n\nvoid main() {\n vec3 hgPosition = matrix * vec3(position, 1);\n gl_Position = vec4(hgPosition.xy, 0, hgPosition.z);\n gl_PointSize = pointSize;\n\n vec4 id = pickId + pickOffset;\n id.y += floor(id.x / 256.0);\n id.x -= floor(id.x / 256.0) * 256.0;\n\n id.z += floor(id.y / 256.0);\n id.y -= floor(id.y / 256.0) * 256.0;\n\n id.w += floor(id.z / 256.0);\n id.z -= floor(id.z / 256.0) * 256.0;\n\n fragId = id;\n}\n"]),e.pickFragment=n(["precision mediump float;\n#define GLSLIFY 1\n\nvarying vec4 fragId;\n\nvoid main() {\n float radius = length(2.0 * gl_PointCoord.xy - 1.0);\n if(radius > 1.0) {\n discard;\n }\n gl_FragColor = fragId / 255.0;\n}\n"])},8271:function(t,e,r){"use strict";var n=r(5158),i=r(5827),a=r(5306),o=r(8023);function s(t,e,r,n,i){this.plot=t,this.offsetBuffer=e,this.pickBuffer=r,this.shader=n,this.pickShader=i,this.sizeMin=.5,this.sizeMinCap=2,this.sizeMax=20,this.areaRatio=1,this.pointCount=0,this.color=[1,0,0,1],this.borderColor=[0,0,0,1],this.blend=!1,this.pickOffset=0,this.points=null}t.exports=function(t,e){var r=t.gl,a=new s(t,i(r),i(r),n(r,o.pointVertex,o.pointFragment),n(r,o.pickVertex,o.pickFragment));return a.update(e),t.addObject(a),a};var l,u,c=s.prototype;c.dispose=function(){this.shader.dispose(),this.pickShader.dispose(),this.offsetBuffer.dispose(),this.pickBuffer.dispose(),this.plot.removeObject(this)},c.update=function(t){var e;function r(e,r){return e in t?t[e]:r}t=t||{},this.sizeMin=r("sizeMin",.5),this.sizeMax=r("sizeMax",20),this.color=r("color",[1,0,0,1]).slice(),this.areaRatio=r("areaRatio",1),this.borderColor=r("borderColor",[0,0,0,1]).slice(),this.blend=r("blend",!1);var n=t.positions.length>>>1,i=t.positions instanceof Float32Array,o=t.idToIndex instanceof Int32Array&&t.idToIndex.length>=n,s=t.positions,l=i?s:a.mallocFloat32(s.length),u=o?t.idToIndex:a.mallocInt32(n);if(i||l.set(s),!o)for(l.set(s),e=0;e>>1;for(r=0;r=e[0]&&a<=e[2]&&o>=e[1]&&o<=e[3]&&n++}return n}(this.points,i),c=this.plot.pickPixelRatio*Math.max(Math.min(this.sizeMinCap,this.sizeMin),Math.min(this.sizeMax,this.sizeMax/Math.pow(s,.33333)));l[0]=2/a,l[4]=2/o,l[6]=-2*i[0]/a-1,l[7]=-2*i[1]/o-1,this.offsetBuffer.bind(),r.bind(),r.attributes.position.pointer(),r.uniforms.matrix=l,r.uniforms.color=this.color,r.uniforms.borderColor=this.borderColor,r.uniforms.pointCloud=c<5,r.uniforms.pointSize=c,r.uniforms.centerFraction=Math.min(1,Math.max(0,Math.sqrt(1-this.areaRatio))),e&&(u[0]=255&t,u[1]=t>>8&255,u[2]=t>>16&255,u[3]=t>>24&255,this.pickBuffer.bind(),r.attributes.pickId.pointer(n.UNSIGNED_BYTE),r.uniforms.pickOffset=u,this.pickOffset=t);var f=n.getParameter(n.BLEND),h=n.getParameter(n.DITHER);return f&&!this.blend&&n.disable(n.BLEND),h&&n.disable(n.DITHER),n.drawArrays(n.POINTS,0,this.pointCount),f&&!this.blend&&n.enable(n.BLEND),h&&n.enable(n.DITHER),t+this.pointCount}),c.draw=c.unifiedDraw,c.drawPick=c.unifiedDraw,c.pick=function(t,e,r){var n=this.pickOffset,i=this.pointCount;if(r=n+i)return null;var a=r-n,o=this.points;return{object:this,pointId:a,dataCoord:[o[2*a],o[2*a+1]]}}},6093:function(t){t.exports=function(t,e,r,n){var i,a,o,s,l,u=e[0],c=e[1],f=e[2],h=e[3],p=r[0],d=r[1],v=r[2],g=r[3];return(a=u*p+c*d+f*v+h*g)<0&&(a=-a,p=-p,d=-d,v=-v,g=-g),1-a>1e-6?(i=Math.acos(a),o=Math.sin(i),s=Math.sin((1-n)*i)/o,l=Math.sin(n*i)/o):(s=1-n,l=n),t[0]=s*u+l*p,t[1]=s*c+l*d,t[2]=s*f+l*v,t[3]=s*h+l*g,t}},8240:function(t){"use strict";t.exports=function(t){return t||0===t?t.toString():""}},4123:function(t,e,r){"use strict";var n=r(875);t.exports=function(t,e,r){var a=i[e];if(a||(a=i[e]={}),t in a)return a[t];var o={textAlign:"center",textBaseline:"middle",lineHeight:1,font:e,lineSpacing:1.25,styletags:{breaklines:!0,bolds:!0,italics:!0,subscripts:!0,superscripts:!0},triangles:!0},s=n(t,o);o.triangles=!1;var l,u,c=n(t,o);if(r&&1!==r){for(l=0;l max(a, b)) || \n (p < min(a, b)));\n}\n\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\n return (outOfRange(a.x, b.x, p.x) ||\n outOfRange(a.y, b.y, p.y));\n}\n\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\n return (outOfRange(a.x, b.x, p.x) ||\n outOfRange(a.y, b.y, p.y) ||\n outOfRange(a.z, b.z, p.z));\n}\n\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\n return outOfRange(a.xyz, b.xyz, p.xyz);\n}\n\nattribute vec3 position;\nattribute vec4 color;\nattribute vec2 glyph;\nattribute vec4 id;\n\nuniform vec4 highlightId;\nuniform float highlightScale;\nuniform mat4 model, view, projection;\nuniform vec3 clipBounds[2];\n\nvarying vec4 interpColor;\nvarying vec4 pickId;\nvarying vec3 dataCoordinate;\n\nvoid main() {\n if (outOfRange(clipBounds[0], clipBounds[1], position)) {\n\n gl_Position = vec4(0,0,0,0);\n } else {\n float scale = 1.0;\n if(distance(highlightId, id) < 0.0001) {\n scale = highlightScale;\n }\n\n vec4 worldPosition = model * vec4(position, 1);\n vec4 viewPosition = view * worldPosition;\n viewPosition = viewPosition / viewPosition.w;\n vec4 clipPosition = projection * (viewPosition + scale * vec4(glyph.x, -glyph.y, 0, 0));\n\n gl_Position = clipPosition;\n interpColor = color;\n pickId = id;\n dataCoordinate = position;\n }\n}"]),o=i(["precision highp float;\n#define GLSLIFY 1\n\nbool outOfRange(float a, float b, float p) {\n return ((p > max(a, b)) || \n (p < min(a, b)));\n}\n\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\n return (outOfRange(a.x, b.x, p.x) ||\n outOfRange(a.y, b.y, p.y));\n}\n\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\n return (outOfRange(a.x, b.x, p.x) ||\n outOfRange(a.y, b.y, p.y) ||\n outOfRange(a.z, b.z, p.z));\n}\n\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\n return outOfRange(a.xyz, b.xyz, p.xyz);\n}\n\nattribute vec3 position;\nattribute vec4 color;\nattribute vec2 glyph;\nattribute vec4 id;\n\nuniform mat4 model, view, projection;\nuniform vec2 screenSize;\nuniform vec3 clipBounds[2];\nuniform float highlightScale, pixelRatio;\nuniform vec4 highlightId;\n\nvarying vec4 interpColor;\nvarying vec4 pickId;\nvarying vec3 dataCoordinate;\n\nvoid main() {\n if (outOfRange(clipBounds[0], clipBounds[1], position)) {\n\n gl_Position = vec4(0,0,0,0);\n } else {\n float scale = pixelRatio;\n if(distance(highlightId.bgr, id.bgr) < 0.001) {\n scale *= highlightScale;\n }\n\n vec4 worldPosition = model * vec4(position, 1.0);\n vec4 viewPosition = view * worldPosition;\n vec4 clipPosition = projection * viewPosition;\n clipPosition /= clipPosition.w;\n\n gl_Position = clipPosition + vec4(screenSize * scale * vec2(glyph.x, -glyph.y), 0.0, 0.0);\n interpColor = color;\n pickId = id;\n dataCoordinate = position;\n }\n}"]),s=i(["precision highp float;\n#define GLSLIFY 1\n\nbool outOfRange(float a, float b, float p) {\n return ((p > max(a, b)) || \n (p < min(a, b)));\n}\n\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\n return (outOfRange(a.x, b.x, p.x) ||\n outOfRange(a.y, b.y, p.y));\n}\n\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\n return (outOfRange(a.x, b.x, p.x) ||\n outOfRange(a.y, b.y, p.y) ||\n outOfRange(a.z, b.z, p.z));\n}\n\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\n return outOfRange(a.xyz, b.xyz, p.xyz);\n}\n\nattribute vec3 position;\nattribute vec4 color;\nattribute vec2 glyph;\nattribute vec4 id;\n\nuniform float highlightScale;\nuniform vec4 highlightId;\nuniform vec3 axes[2];\nuniform mat4 model, view, projection;\nuniform vec2 screenSize;\nuniform vec3 clipBounds[2];\nuniform float scale, pixelRatio;\n\nvarying vec4 interpColor;\nvarying vec4 pickId;\nvarying vec3 dataCoordinate;\n\nvoid main() {\n if (outOfRange(clipBounds[0], clipBounds[1], position)) {\n\n gl_Position = vec4(0,0,0,0);\n } else {\n float lscale = pixelRatio * scale;\n if(distance(highlightId, id) < 0.0001) {\n lscale *= highlightScale;\n }\n\n vec4 clipCenter = projection * view * model * vec4(position, 1);\n vec3 dataPosition = position + 0.5*lscale*(axes[0] * glyph.x + axes[1] * glyph.y) * clipCenter.w * screenSize.y;\n vec4 clipPosition = projection * view * model * vec4(dataPosition, 1);\n\n gl_Position = clipPosition;\n interpColor = color;\n pickId = id;\n dataCoordinate = dataPosition;\n }\n}\n"]),l=i(["precision highp float;\n#define GLSLIFY 1\n\nbool outOfRange(float a, float b, float p) {\n return ((p > max(a, b)) || \n (p < min(a, b)));\n}\n\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\n return (outOfRange(a.x, b.x, p.x) ||\n outOfRange(a.y, b.y, p.y));\n}\n\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\n return (outOfRange(a.x, b.x, p.x) ||\n outOfRange(a.y, b.y, p.y) ||\n outOfRange(a.z, b.z, p.z));\n}\n\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\n return outOfRange(a.xyz, b.xyz, p.xyz);\n}\n\nuniform vec3 fragClipBounds[2];\nuniform float opacity;\n\nvarying vec4 interpColor;\nvarying vec3 dataCoordinate;\n\nvoid main() {\n if (\n outOfRange(fragClipBounds[0], fragClipBounds[1], dataCoordinate) ||\n interpColor.a * opacity == 0.\n ) discard;\n gl_FragColor = interpColor * opacity;\n}\n"]),u=i(["precision highp float;\n#define GLSLIFY 1\n\nbool outOfRange(float a, float b, float p) {\n return ((p > max(a, b)) || \n (p < min(a, b)));\n}\n\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\n return (outOfRange(a.x, b.x, p.x) ||\n outOfRange(a.y, b.y, p.y));\n}\n\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\n return (outOfRange(a.x, b.x, p.x) ||\n outOfRange(a.y, b.y, p.y) ||\n outOfRange(a.z, b.z, p.z));\n}\n\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\n return outOfRange(a.xyz, b.xyz, p.xyz);\n}\n\nuniform vec3 fragClipBounds[2];\nuniform float pickGroup;\n\nvarying vec4 pickId;\nvarying vec3 dataCoordinate;\n\nvoid main() {\n if (outOfRange(fragClipBounds[0], fragClipBounds[1], dataCoordinate)) discard;\n\n gl_FragColor = vec4(pickGroup, pickId.bgr);\n}"]),c=[{name:"position",type:"vec3"},{name:"color",type:"vec4"},{name:"glyph",type:"vec2"},{name:"id",type:"vec4"}],f={vertex:a,fragment:l,attributes:c},h={vertex:o,fragment:l,attributes:c},p={vertex:s,fragment:l,attributes:c},d={vertex:a,fragment:u,attributes:c},v={vertex:o,fragment:u,attributes:c},g={vertex:s,fragment:u,attributes:c};function y(t,e){var r=n(t,e),i=r.attributes;return i.position.location=0,i.color.location=1,i.glyph.location=2,i.id.location=3,r}e.createPerspective=function(t){return y(t,f)},e.createOrtho=function(t){return y(t,h)},e.createProject=function(t){return y(t,p)},e.createPickPerspective=function(t){return y(t,d)},e.createPickOrtho=function(t){return y(t,v)},e.createPickProject=function(t){return y(t,g)}},2182:function(t,e,r){"use strict";var n=r(3596),i=r(5827),a=r(2944),o=r(5306),s=r(104),l=r(9282),u=r(4123),c=r(8240),f=[1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1];function h(t,e){var r=t[0],n=t[1],i=t[2],a=t[3];return t[0]=e[0]*r+e[4]*n+e[8]*i+e[12]*a,t[1]=e[1]*r+e[5]*n+e[9]*i+e[13]*a,t[2]=e[2]*r+e[6]*n+e[10]*i+e[14]*a,t[3]=e[3]*r+e[7]*n+e[11]*i+e[15]*a,t}function p(t,e,r,n){return h(n,n),h(n,n),h(n,n)}function d(t,e){this.index=t,this.dataCoordinate=this.position=e}function v(t){return!0===t||t>1?1:t}function g(t,e,r,n,i,a,o,s,l,u,c,f){this.gl=t,this.pixelRatio=1,this.shader=e,this.orthoShader=r,this.projectShader=n,this.pointBuffer=i,this.colorBuffer=a,this.glyphBuffer=o,this.idBuffer=s,this.vao=l,this.vertexCount=0,this.lineVertexCount=0,this.opacity=1,this.hasAlpha=!1,this.lineWidth=0,this.projectScale=[2/3,2/3,2/3],this.projectOpacity=[1,1,1],this.projectHasAlpha=!1,this.pickId=0,this.pickPerspectiveShader=u,this.pickOrthoShader=c,this.pickProjectShader=f,this.points=[],this._selectResult=new d(0,[0,0,0]),this.useOrtho=!0,this.bounds=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]],this.axesProject=[!0,!0,!0],this.axesBounds=[[-1/0,-1/0,-1/0],[1/0,1/0,1/0]],this.highlightId=[1,1,1,1],this.highlightScale=2,this.clipBounds=[[-1/0,-1/0,-1/0],[1/0,1/0,1/0]],this.dirty=!0}t.exports=function(t){var e=t.gl,r=l.createPerspective(e),n=l.createOrtho(e),o=l.createProject(e),s=l.createPickPerspective(e),u=l.createPickOrtho(e),c=l.createPickProject(e),f=i(e),h=i(e),p=i(e),d=i(e),v=new g(e,r,n,o,f,h,p,d,a(e,[{buffer:f,size:3,type:e.FLOAT},{buffer:h,size:4,type:e.FLOAT},{buffer:p,size:2,type:e.FLOAT},{buffer:d,size:4,type:e.UNSIGNED_BYTE,normalized:!0}]),s,u,c);return v.update(t),v};var y=g.prototype;y.pickSlots=1,y.setPickBase=function(t){this.pickId=t},y.isTransparent=function(){if(this.hasAlpha)return!0;for(var t=0;t<3;++t)if(this.axesProject[t]&&this.projectHasAlpha)return!0;return!1},y.isOpaque=function(){if(!this.hasAlpha)return!0;for(var t=0;t<3;++t)if(this.axesProject[t]&&!this.projectHasAlpha)return!0;return!1};var m=[0,0],x=[0,0,0],b=[0,0,0],_=[0,0,0,1],w=[0,0,0,1],T=f.slice(),k=[0,0,0],A=[[0,0,0],[0,0,0]];function M(t){return t[0]=t[1]=t[2]=0,t}function S(t,e){return t[0]=e[0],t[1]=e[1],t[2]=e[2],t[3]=1,t}function E(t,e,r,n){return t[0]=e[0],t[1]=e[1],t[2]=e[2],t[r]=n,t}var L=[[-1e8,-1e8,-1e8],[1e8,1e8,1e8]];function C(t,e,r,n,i,a,o){var l=r.gl;if((a===r.projectHasAlpha||o)&&function(t,e,r,n){var i,a=e.axesProject,o=e.gl,l=t.uniforms,u=r.model||f,c=r.view||f,h=r.projection||f,d=e.axesBounds,v=function(t){for(var e=A,r=0;r<2;++r)for(var n=0;n<3;++n)e[r][n]=Math.max(Math.min(t[r][n],1e8),-1e8);return e}(e.clipBounds);i=e.axes&&e.axes.lastCubeProps?e.axes.lastCubeProps.axis:[1,1,1],m[0]=2/o.drawingBufferWidth,m[1]=2/o.drawingBufferHeight,t.bind(),l.view=c,l.projection=h,l.screenSize=m,l.highlightId=e.highlightId,l.highlightScale=e.highlightScale,l.clipBounds=v,l.pickGroup=e.pickId/255,l.pixelRatio=n;for(var g=0;g<3;++g)if(a[g]){l.scale=e.projectScale[g],l.opacity=e.projectOpacity[g];for(var y=T,L=0;L<16;++L)y[L]=0;for(L=0;L<4;++L)y[5*L]=1;y[5*g]=0,i[g]<0?y[12+g]=d[0][g]:y[12+g]=d[1][g],s(y,u,y),l.model=y;var C=(g+1)%3,P=(g+2)%3,O=M(x),I=M(b);O[C]=1,I[P]=1;var D=p(0,0,0,S(_,O)),z=p(0,0,0,S(w,I));if(Math.abs(D[1])>Math.abs(z[1])){var R=D;D=z,z=R,R=O,O=I,I=R;var F=C;C=P,P=F}D[0]<0&&(O[C]=-1),z[1]>0&&(I[P]=-1);var B=0,N=0;for(L=0;L<4;++L)B+=Math.pow(u[4*C+L],2),N+=Math.pow(u[4*P+L],2);O[C]/=Math.sqrt(B),I[P]/=Math.sqrt(N),l.axes[0]=O,l.axes[1]=I,l.fragClipBounds[0]=E(k,v[0],g,-1e8),l.fragClipBounds[1]=E(k,v[1],g,1e8),e.vao.bind(),e.vao.draw(o.TRIANGLES,e.vertexCount),e.lineWidth>0&&(o.lineWidth(e.lineWidth*n),e.vao.draw(o.LINES,e.lineVertexCount,e.vertexCount)),e.vao.unbind()}}(e,r,n,i),a===r.hasAlpha||o){t.bind();var u=t.uniforms;u.model=n.model||f,u.view=n.view||f,u.projection=n.projection||f,m[0]=2/l.drawingBufferWidth,m[1]=2/l.drawingBufferHeight,u.screenSize=m,u.highlightId=r.highlightId,u.highlightScale=r.highlightScale,u.fragClipBounds=L,u.clipBounds=r.axes.bounds,u.opacity=r.opacity,u.pickGroup=r.pickId/255,u.pixelRatio=i,r.vao.bind(),r.vao.draw(l.TRIANGLES,r.vertexCount),r.lineWidth>0&&(l.lineWidth(r.lineWidth*i),r.vao.draw(l.LINES,r.lineVertexCount,r.vertexCount)),r.vao.unbind()}}function P(t,e,r,i){var a;a=Array.isArray(t)?e=this.pointCount||e<0)return null;var r=this.points[e],n=this._selectResult;n.index=e;for(var i=0;i<3;++i)n.position[i]=n.dataCoordinate[i]=r[i];return n},y.highlight=function(t){if(t){var e=t.index,r=255&e,n=e>>8&255,i=e>>16&255;this.highlightId=[r/255,n/255,i/255,0]}else this.highlightId=[1,1,1,1]},y.update=function(t){if("perspective"in(t=t||{})&&(this.useOrtho=!t.perspective),"orthographic"in t&&(this.useOrtho=!!t.orthographic),"lineWidth"in t&&(this.lineWidth=t.lineWidth),"project"in t)if(Array.isArray(t.project))this.axesProject=t.project;else{var e=!!t.project;this.axesProject=[e,e,e]}if("projectScale"in t)if(Array.isArray(t.projectScale))this.projectScale=t.projectScale.slice();else{var r=+t.projectScale;this.projectScale=[r,r,r]}if(this.projectHasAlpha=!1,"projectOpacity"in t){Array.isArray(t.projectOpacity)?this.projectOpacity=t.projectOpacity.slice():(r=+t.projectOpacity,this.projectOpacity=[r,r,r]);for(var n=0;n<3;++n)this.projectOpacity[n]=v(this.projectOpacity[n]),this.projectOpacity[n]<1&&(this.projectHasAlpha=!0)}this.hasAlpha=!1,"opacity"in t&&(this.opacity=v(t.opacity),this.opacity<1&&(this.hasAlpha=!0)),this.dirty=!0;var i,a,s=t.position,l=t.font||"normal",u=t.alignment||[0,0];if(2===u.length)i=u[0],a=u[1];else for(i=[],a=[],n=0;n0){var I=0,D=x,z=[0,0,0,1],R=[0,0,0,1],F=Array.isArray(p)&&Array.isArray(p[0]),B=Array.isArray(y)&&Array.isArray(y[0]);t:for(n=0;n<_;++n){for(m+=1,w=s[n],T=0;T<3;++T){if(isNaN(w[T])||!isFinite(w[T]))continue t;f[T]=Math.max(f[T],w[T]),c[T]=Math.min(c[T],w[T])}k=(N=P(h,n,l,this.pixelRatio)).mesh,A=N.lines,M=N.bounds;var N,j=N.visible;if(j)if(Array.isArray(p)){if(3===(U=F?n0?1-M[0][0]:W<0?1+M[1][0]:1,Y*=Y>0?1-M[0][1]:Y<0?1+M[1][1]:1],Z=k.cells||[],K=k.positions||[];for(T=0;T0){var y=r*c;o.drawBox(f-y,h-y,p+y,h+y,a),o.drawBox(f-y,d-y,p+y,d+y,a),o.drawBox(f-y,h-y,f+y,d+y,a),o.drawBox(p-y,h-y,p+y,d+y,a)}}}},s.update=function(t){t=t||{},this.innerFill=!!t.innerFill,this.outerFill=!!t.outerFill,this.innerColor=(t.innerColor||[0,0,0,.5]).slice(),this.outerColor=(t.outerColor||[0,0,0,.5]).slice(),this.borderColor=(t.borderColor||[0,0,0,1]).slice(),this.borderWidth=t.borderWidth||0,this.selectBox=(t.selectBox||this.selectBox).slice()},s.dispose=function(){this.boxBuffer.dispose(),this.boxShader.dispose(),this.plot.removeOverlay(this)}},2611:function(t,e,r){"use strict";t.exports=function(t,e){var r=e[0],a=e[1];return new l(t,n(t,r,a,{}),i.mallocUint8(r*a*4))};var n=r(4234),i=r(5306),a=r(5050),o=r(2288).nextPow2;function s(t,e,r,n,i){this.coord=[t,e],this.id=r,this.value=n,this.distance=i}function l(t,e,r){this.gl=t,this.fbo=e,this.buffer=r,this._readTimeout=null;var n=this;this._readCallback=function(){n.gl&&(e.bind(),t.readPixels(0,0,e.shape[0],e.shape[1],t.RGBA,t.UNSIGNED_BYTE,n.buffer),n._readTimeout=null)}}var u=l.prototype;Object.defineProperty(u,"shape",{get:function(){return this.gl?this.fbo.shape.slice():[0,0]},set:function(t){if(this.gl){this.fbo.shape=t;var e=this.fbo.shape[0],r=this.fbo.shape[1];if(r*e*4>this.buffer.length){i.free(this.buffer);for(var n=this.buffer=i.mallocUint8(o(r*e*4)),a=0;ar)for(t=r;te)for(t=e;t=0){for(var T=0|w.type.charAt(w.type.length-1),k=new Array(T),A=0;A=0;)M+=1;_[m]=M}var S=new Array(r.length);function E(){h.program=o.program(p,h._vref,h._fref,b,_);for(var t=0;t=0){if((d=h.charCodeAt(h.length-1)-48)<2||d>4)throw new n("","Invalid data type for attribute "+f+": "+h);s(t,e,p[0],i,d,a,f)}else{if(!(h.indexOf("mat")>=0))throw new n("","Unknown data type for attribute "+f+": "+h);var d;if((d=h.charCodeAt(h.length-1)-48)<2||d>4)throw new n("","Invalid data type for attribute "+f+": "+h);l(t,e,p,i,d,a,f)}}}return a};var n=r(9068);function i(t,e,r,n,i,a){this._gl=t,this._wrapper=e,this._index=r,this._locations=n,this._dimension=i,this._constFunc=a}var a=i.prototype;a.pointer=function(t,e,r,n){var i=this,a=i._gl,o=i._locations[i._index];a.vertexAttribPointer(o,i._dimension,t||a.FLOAT,!!e,r||0,n||0),a.enableVertexAttribArray(o)},a.set=function(t,e,r,n){return this._constFunc(this._locations[this._index],t,e,r,n)},Object.defineProperty(a,"location",{get:function(){return this._locations[this._index]},set:function(t){return t!==this._locations[this._index]&&(this._locations[this._index]=0|t,this._wrapper.program=null),0|t}});var o=[function(t,e,r){return void 0===r.length?t.vertexAttrib1f(e,r):t.vertexAttrib1fv(e,r)},function(t,e,r,n){return void 0===r.length?t.vertexAttrib2f(e,r,n):t.vertexAttrib2fv(e,r)},function(t,e,r,n,i){return void 0===r.length?t.vertexAttrib3f(e,r,n,i):t.vertexAttrib3fv(e,r)},function(t,e,r,n,i,a){return void 0===r.length?t.vertexAttrib4f(e,r,n,i,a):t.vertexAttrib4fv(e,r)}];function s(t,e,r,n,a,s,l){var u=o[a],c=new i(t,e,r,n,a,u);Object.defineProperty(s,l,{set:function(e){return t.disableVertexAttribArray(n[r]),u(t,n[r],e),e},get:function(){return c},enumerable:!0})}function l(t,e,r,n,i,a,o){for(var l=new Array(i),u=new Array(i),c=0;c4)throw new i("","Invalid uniform dimension type for matrix "+name+": "+m);t["uniformMatrix"+y+"fv"](s[f],!1,h);break}throw new i("","Unknown uniform data type for "+name+": "+m)}if((y=m.charCodeAt(m.length-1)-48)<2||y>4)throw new i("","Invalid data type");switch(m.charAt(0)){case"b":case"i":t["uniform"+y+"iv"](s[f],h);break;case"v":t["uniform"+y+"fv"](s[f],h);break;default:throw new i("","Unrecognized data type for vector "+name+": "+m)}}}}}}function u(t,e){if("object"!=typeof e)return[[t,e]];var r=[];for(var n in e){var i=e[n],a=t;parseInt(n)+""===n?a+="["+n+"]":a+="."+n,"object"==typeof i?r.push.apply(r,u(a,i)):r.push([a,i])}return r}function c(t,e,n){if("object"==typeof n){var u=f(n);Object.defineProperty(t,e,{get:a(u),set:l(n),enumerable:!0,configurable:!1})}else s[n]?Object.defineProperty(t,e,{get:(c=n,function(t,e,r){return t.getUniform(e.program,r[c])}),set:l(n),enumerable:!0,configurable:!1}):t[e]=function(t){switch(t){case"bool":return!1;case"int":case"sampler2D":case"samplerCube":case"float":return 0;default:var e=t.indexOf("vec");if(0<=e&&e<=1&&t.length===4+e){if((r=t.charCodeAt(t.length-1)-48)<2||r>4)throw new i("","Invalid data type");return"b"===t.charAt(0)?o(r,!1):o(r,0)}if(0===t.indexOf("mat")&&4===t.length){var r;if((r=t.charCodeAt(t.length-1)-48)<2||r>4)throw new i("","Invalid uniform dimension type for matrix "+name+": "+t);return o(r*r,0)}throw new i("","Unknown uniform data type for "+name+": "+t)}}(r[n].type);var c}function f(t){var e;if(Array.isArray(t)){e=new Array(t.length);for(var r=0;r1){s[0]in a||(a[s[0]]=[]),a=a[s[0]];for(var l=1;l1)for(var l=0;l 0 U ||b|| > 0.\n // Assign z = 0, x = -b, y = a:\n // a*-b + b*a + c*0 = -ba + ba + 0 = 0\n if (v.x*v.x > v.z*v.z || v.y*v.y > v.z*v.z) {\n return normalize(vec3(-v.y, v.x, 0.0));\n } else {\n return normalize(vec3(0.0, v.z, -v.y));\n }\n}\n\n// Calculate the tube vertex and normal at the given index.\n//\n// The returned vertex is for a tube ring with its center at origin, radius of length(d), pointing in the direction of d.\n//\n// Each tube segment is made up of a ring of vertices.\n// These vertices are used to make up the triangles of the tube by connecting them together in the vertex array.\n// The indexes of tube segments run from 0 to 8.\n//\nvec3 getTubePosition(vec3 d, float index, out vec3 normal) {\n float segmentCount = 8.0;\n\n float angle = 2.0 * 3.14159 * (index / segmentCount);\n\n vec3 u = getOrthogonalVector(d);\n vec3 v = normalize(cross(u, d));\n\n vec3 x = u * cos(angle) * length(d);\n vec3 y = v * sin(angle) * length(d);\n vec3 v3 = x + y;\n\n normal = normalize(v3);\n\n return v3;\n}\n\nattribute vec4 vector;\nattribute vec4 color, position;\nattribute vec2 uv;\n\nuniform float vectorScale, tubeScale;\nuniform mat4 model, view, projection, inverseModel;\nuniform vec3 eyePosition, lightPosition;\n\nvarying vec3 f_normal, f_lightDirection, f_eyeDirection, f_data, f_position;\nvarying vec4 f_color;\nvarying vec2 f_uv;\n\nvoid main() {\n // Scale the vector magnitude to stay constant with\n // model & view changes.\n vec3 normal;\n vec3 XYZ = getTubePosition(mat3(model) * (tubeScale * vector.w * normalize(vector.xyz)), position.w, normal);\n vec4 tubePosition = model * vec4(position.xyz, 1.0) + vec4(XYZ, 0.0);\n\n //Lighting geometry parameters\n vec4 cameraCoordinate = view * tubePosition;\n cameraCoordinate.xyz /= cameraCoordinate.w;\n f_lightDirection = lightPosition - cameraCoordinate.xyz;\n f_eyeDirection = eyePosition - cameraCoordinate.xyz;\n f_normal = normalize((vec4(normal, 0.0) * inverseModel).xyz);\n\n // vec4 m_position = model * vec4(tubePosition, 1.0);\n vec4 t_position = view * tubePosition;\n gl_Position = projection * t_position;\n\n f_color = color;\n f_data = tubePosition.xyz;\n f_position = position.xyz;\n f_uv = uv;\n}\n"]),a=n(["#extension GL_OES_standard_derivatives : enable\n\nprecision highp float;\n#define GLSLIFY 1\n\nfloat beckmannDistribution(float x, float roughness) {\n float NdotH = max(x, 0.0001);\n float cos2Alpha = NdotH * NdotH;\n float tan2Alpha = (cos2Alpha - 1.0) / cos2Alpha;\n float roughness2 = roughness * roughness;\n float denom = 3.141592653589793 * roughness2 * cos2Alpha * cos2Alpha;\n return exp(tan2Alpha / roughness2) / denom;\n}\n\nfloat cookTorranceSpecular(\n vec3 lightDirection,\n vec3 viewDirection,\n vec3 surfaceNormal,\n float roughness,\n float fresnel) {\n\n float VdotN = max(dot(viewDirection, surfaceNormal), 0.0);\n float LdotN = max(dot(lightDirection, surfaceNormal), 0.0);\n\n //Half angle vector\n vec3 H = normalize(lightDirection + viewDirection);\n\n //Geometric term\n float NdotH = max(dot(surfaceNormal, H), 0.0);\n float VdotH = max(dot(viewDirection, H), 0.000001);\n float LdotH = max(dot(lightDirection, H), 0.000001);\n float G1 = (2.0 * NdotH * VdotN) / VdotH;\n float G2 = (2.0 * NdotH * LdotN) / LdotH;\n float G = min(1.0, min(G1, G2));\n \n //Distribution term\n float D = beckmannDistribution(NdotH, roughness);\n\n //Fresnel term\n float F = pow(1.0 - VdotN, fresnel);\n\n //Multiply terms and done\n return G * F * D / max(3.14159265 * VdotN, 0.000001);\n}\n\nbool outOfRange(float a, float b, float p) {\n return ((p > max(a, b)) || \n (p < min(a, b)));\n}\n\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\n return (outOfRange(a.x, b.x, p.x) ||\n outOfRange(a.y, b.y, p.y));\n}\n\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\n return (outOfRange(a.x, b.x, p.x) ||\n outOfRange(a.y, b.y, p.y) ||\n outOfRange(a.z, b.z, p.z));\n}\n\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\n return outOfRange(a.xyz, b.xyz, p.xyz);\n}\n\nuniform vec3 clipBounds[2];\nuniform float roughness, fresnel, kambient, kdiffuse, kspecular, opacity;\nuniform sampler2D texture;\n\nvarying vec3 f_normal, f_lightDirection, f_eyeDirection, f_data, f_position;\nvarying vec4 f_color;\nvarying vec2 f_uv;\n\nvoid main() {\n if (outOfRange(clipBounds[0], clipBounds[1], f_position)) discard;\n vec3 N = normalize(f_normal);\n vec3 L = normalize(f_lightDirection);\n vec3 V = normalize(f_eyeDirection);\n\n if(gl_FrontFacing) {\n N = -N;\n }\n\n float specular = min(1.0, max(0.0, cookTorranceSpecular(L, V, N, roughness, fresnel)));\n float diffuse = min(kambient + kdiffuse * max(dot(N, L), 0.0), 1.0);\n\n vec4 surfaceColor = f_color * texture2D(texture, f_uv);\n vec4 litColor = surfaceColor.a * vec4(diffuse * surfaceColor.rgb + kspecular * vec3(1,1,1) * specular, 1.0);\n\n gl_FragColor = litColor * opacity;\n}\n"]),o=n(["precision highp float;\n\nprecision highp float;\n#define GLSLIFY 1\n\nvec3 getOrthogonalVector(vec3 v) {\n // Return up-vector for only-z vector.\n // Return ax + by + cz = 0, a point that lies on the plane that has v as a normal and that isn't (0,0,0).\n // From the above if-statement we have ||a|| > 0 U ||b|| > 0.\n // Assign z = 0, x = -b, y = a:\n // a*-b + b*a + c*0 = -ba + ba + 0 = 0\n if (v.x*v.x > v.z*v.z || v.y*v.y > v.z*v.z) {\n return normalize(vec3(-v.y, v.x, 0.0));\n } else {\n return normalize(vec3(0.0, v.z, -v.y));\n }\n}\n\n// Calculate the tube vertex and normal at the given index.\n//\n// The returned vertex is for a tube ring with its center at origin, radius of length(d), pointing in the direction of d.\n//\n// Each tube segment is made up of a ring of vertices.\n// These vertices are used to make up the triangles of the tube by connecting them together in the vertex array.\n// The indexes of tube segments run from 0 to 8.\n//\nvec3 getTubePosition(vec3 d, float index, out vec3 normal) {\n float segmentCount = 8.0;\n\n float angle = 2.0 * 3.14159 * (index / segmentCount);\n\n vec3 u = getOrthogonalVector(d);\n vec3 v = normalize(cross(u, d));\n\n vec3 x = u * cos(angle) * length(d);\n vec3 y = v * sin(angle) * length(d);\n vec3 v3 = x + y;\n\n normal = normalize(v3);\n\n return v3;\n}\n\nattribute vec4 vector;\nattribute vec4 position;\nattribute vec4 id;\n\nuniform mat4 model, view, projection;\nuniform float tubeScale;\n\nvarying vec3 f_position;\nvarying vec4 f_id;\n\nvoid main() {\n vec3 normal;\n vec3 XYZ = getTubePosition(mat3(model) * (tubeScale * vector.w * normalize(vector.xyz)), position.w, normal);\n vec4 tubePosition = model * vec4(position.xyz, 1.0) + vec4(XYZ, 0.0);\n\n gl_Position = projection * view * tubePosition;\n f_id = id;\n f_position = position.xyz;\n}\n"]),s=n(["precision highp float;\n#define GLSLIFY 1\n\nbool outOfRange(float a, float b, float p) {\n return ((p > max(a, b)) || \n (p < min(a, b)));\n}\n\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\n return (outOfRange(a.x, b.x, p.x) ||\n outOfRange(a.y, b.y, p.y));\n}\n\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\n return (outOfRange(a.x, b.x, p.x) ||\n outOfRange(a.y, b.y, p.y) ||\n outOfRange(a.z, b.z, p.z));\n}\n\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\n return outOfRange(a.xyz, b.xyz, p.xyz);\n}\n\nuniform vec3 clipBounds[2];\nuniform float pickId;\n\nvarying vec3 f_position;\nvarying vec4 f_id;\n\nvoid main() {\n if (outOfRange(clipBounds[0], clipBounds[1], f_position)) discard;\n\n gl_FragColor = vec4(pickId, f_id.xyz);\n}"]);e.meshShader={vertex:i,fragment:a,attributes:[{name:"position",type:"vec4"},{name:"color",type:"vec4"},{name:"uv",type:"vec2"},{name:"vector",type:"vec4"}]},e.pickShader={vertex:o,fragment:s,attributes:[{name:"position",type:"vec4"},{name:"id",type:"vec4"},{name:"vector",type:"vec4"}]}},7307:function(t,e,r){"use strict";var n=r(2858),i=r(4020),a=["xyz","xzy","yxz","yzx","zxy","zyx"],o=function(t,e){var r,n=t.length;for(r=0;re)return r-1}return r},s=function(t,e,r){return tr?r:t},l=function(t){var e=1/0;t.sort((function(t,e){return t-e}));for(var r=t.length,n=1;nf-1||m>h-1||x>p-1)return n.create();var b,_,w,T,k,A,M=a[0][d],S=a[0][y],E=a[1][v],L=a[1][m],C=a[2][g],P=(l-M)/(S-M),O=(u-E)/(L-E),I=(c-C)/(a[2][x]-C);switch(isFinite(P)||(P=.5),isFinite(O)||(O=.5),isFinite(I)||(I=.5),r.reversedX&&(d=f-1-d,y=f-1-y),r.reversedY&&(v=h-1-v,m=h-1-m),r.reversedZ&&(g=p-1-g,x=p-1-x),r.filled){case 5:k=g,A=x,w=v*p,T=m*p,b=d*p*h,_=y*p*h;break;case 4:k=g,A=x,b=d*p,_=y*p,w=v*p*f,T=m*p*f;break;case 3:w=v,T=m,k=g*h,A=x*h,b=d*h*p,_=y*h*p;break;case 2:w=v,T=m,b=d*h,_=y*h,k=g*h*f,A=x*h*f;break;case 1:b=d,_=y,k=g*f,A=x*f,w=v*f*p,T=m*f*p;break;default:b=d,_=y,w=v*f,T=m*f,k=g*f*h,A=x*f*h}var D=i[b+w+k],z=i[b+w+A],R=i[b+T+k],F=i[b+T+A],B=i[_+w+k],N=i[_+w+A],j=i[_+T+k],U=i[_+T+A],V=n.create(),q=n.create(),H=n.create(),G=n.create();n.lerp(V,D,B,P),n.lerp(q,z,N,P),n.lerp(H,R,j,P),n.lerp(G,F,U,P);var W=n.create(),Y=n.create();n.lerp(W,V,H,O),n.lerp(Y,q,G,O);var X=n.create();return n.lerp(X,W,Y,I),X}(e,t,p)},v=t.getDivergence||function(t,e){var r=n.create(),i=1e-4;n.add(r,t,[i,0,0]);var a=d(r);n.subtract(a,a,e),n.scale(a,a,1/i),n.add(r,t,[0,i,0]);var o=d(r);n.subtract(o,o,e),n.scale(o,o,1/i),n.add(r,t,[0,0,i]);var s=d(r);return n.subtract(s,s,e),n.scale(s,s,1/i),n.add(r,a,o),n.add(r,r,s),r},g=[],y=e[0][0],m=e[0][1],x=e[0][2],b=e[1][0],_=e[1][1],w=e[1][2],T=function(t){var e=t[0],r=t[1],n=t[2];return!(eb||r_||nw)},k=10*n.distance(e[0],e[1])/u,A=k*k,M=1,S=0,E=r.length;E>1&&(M=function(t){for(var e=[],r=[],n=[],i={},a={},o={},s=t.length,u=0;uS&&(S=F),z.push(F),g.push({points:P,velocities:O,divergences:z});for(var B=0;B<100*u&&P.lengthA&&n.scale(N,N,k/Math.sqrt(j)),n.add(N,N,C),I=d(N),n.squaredDistance(D,N)-A>-1e-4*A&&(P.push(N),D=N,O.push(I),R=v(N,I),F=n.length(R),isFinite(F)&&F>S&&(S=F),z.push(F)),C=N}}var U=function(t,e,r,a){for(var o=0,s=0;s0)for(T=0;T<8;T++){var k=(T+1)%8;u.push(h[T],p[T],p[k],p[k],h[k],h[T]),f.push(m,y,y,y,m,m),d.push(v,g,g,g,v,v);var A=u.length;c.push([A-6,A-5,A-4],[A-3,A-2,A-1])}var M=h;h=p,p=M;var S=m;m=y,y=S;var E=v;v=g,g=E}return{positions:u,cells:c,vectors:f,vertexIntensity:d}}(t,r,a,o)})),f=[],h=[],p=[],d=[];for(s=0;s max(a, b)) || \n (p < min(a, b)));\n}\n\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\n return (outOfRange(a.x, b.x, p.x) ||\n outOfRange(a.y, b.y, p.y));\n}\n\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\n return (outOfRange(a.x, b.x, p.x) ||\n outOfRange(a.y, b.y, p.y) ||\n outOfRange(a.z, b.z, p.z));\n}\n\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\n return outOfRange(a.xyz, b.xyz, p.xyz);\n}\n\nuniform vec3 lowerBound, upperBound;\nuniform float contourTint;\nuniform vec4 contourColor;\nuniform sampler2D colormap;\nuniform vec3 clipBounds[2];\nuniform float roughness, fresnel, kambient, kdiffuse, kspecular, opacity;\nuniform float vertexColor;\n\nvarying float value, kill;\nvarying vec3 worldCoordinate;\nvarying vec3 lightDirection, eyeDirection, surfaceNormal;\nvarying vec4 vColor;\n\nvoid main() {\n if (\n kill > 0.0 ||\n vColor.a == 0.0 ||\n outOfRange(clipBounds[0], clipBounds[1], worldCoordinate)\n ) discard;\n\n vec3 N = normalize(surfaceNormal);\n vec3 V = normalize(eyeDirection);\n vec3 L = normalize(lightDirection);\n\n if(gl_FrontFacing) {\n N = -N;\n }\n\n float specular = max(beckmannSpecular(L, V, N, roughness), 0.);\n float diffuse = min(kambient + kdiffuse * max(dot(N, L), 0.0), 1.0);\n\n //decide how to interpolate color — in vertex or in fragment\n vec4 surfaceColor =\n step(vertexColor, .5) * texture2D(colormap, vec2(value, value)) +\n step(.5, vertexColor) * vColor;\n\n vec4 litColor = surfaceColor.a * vec4(diffuse * surfaceColor.rgb + kspecular * vec3(1,1,1) * specular, 1.0);\n\n gl_FragColor = mix(litColor, contourColor, contourTint) * opacity;\n}\n"]),s=i(["precision highp float;\n#define GLSLIFY 1\n\nattribute vec4 uv;\nattribute float f;\n\nuniform vec3 objectOffset;\nuniform mat3 permutation;\nuniform mat4 model, view, projection;\nuniform float height, zOffset;\nuniform sampler2D colormap;\n\nvarying float value, kill;\nvarying vec3 worldCoordinate;\nvarying vec2 planeCoordinate;\nvarying vec3 lightDirection, eyeDirection, surfaceNormal;\nvarying vec4 vColor;\n\nvoid main() {\n vec3 dataCoordinate = permutation * vec3(uv.xy, height);\n worldCoordinate = objectOffset + dataCoordinate;\n vec4 worldPosition = model * vec4(worldCoordinate, 1.0);\n\n vec4 clipPosition = projection * view * worldPosition;\n clipPosition.z += zOffset;\n\n gl_Position = clipPosition;\n value = f + objectOffset.z;\n kill = -1.0;\n planeCoordinate = uv.zw;\n\n vColor = texture2D(colormap, vec2(value, value));\n\n //Don't do lighting for contours\n surfaceNormal = vec3(1,0,0);\n eyeDirection = vec3(0,1,0);\n lightDirection = vec3(0,0,1);\n}\n"]),l=i(["precision highp float;\n#define GLSLIFY 1\n\nbool outOfRange(float a, float b, float p) {\n return ((p > max(a, b)) || \n (p < min(a, b)));\n}\n\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\n return (outOfRange(a.x, b.x, p.x) ||\n outOfRange(a.y, b.y, p.y));\n}\n\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\n return (outOfRange(a.x, b.x, p.x) ||\n outOfRange(a.y, b.y, p.y) ||\n outOfRange(a.z, b.z, p.z));\n}\n\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\n return outOfRange(a.xyz, b.xyz, p.xyz);\n}\n\nuniform vec2 shape;\nuniform vec3 clipBounds[2];\nuniform float pickId;\n\nvarying float value, kill;\nvarying vec3 worldCoordinate;\nvarying vec2 planeCoordinate;\nvarying vec3 surfaceNormal;\n\nvec2 splitFloat(float v) {\n float vh = 255.0 * v;\n float upper = floor(vh);\n float lower = fract(vh);\n return vec2(upper / 255.0, floor(lower * 16.0) / 16.0);\n}\n\nvoid main() {\n if ((kill > 0.0) ||\n (outOfRange(clipBounds[0], clipBounds[1], worldCoordinate))) discard;\n\n vec2 ux = splitFloat(planeCoordinate.x / shape.x);\n vec2 uy = splitFloat(planeCoordinate.y / shape.y);\n gl_FragColor = vec4(pickId, ux.x, uy.x, ux.y + (uy.y/16.0));\n}\n"]);e.createShader=function(t){var e=n(t,a,o,null,[{name:"uv",type:"vec4"},{name:"f",type:"vec3"},{name:"normal",type:"vec3"}]);return e.attributes.uv.location=0,e.attributes.f.location=1,e.attributes.normal.location=2,e},e.createPickShader=function(t){var e=n(t,a,l,null,[{name:"uv",type:"vec4"},{name:"f",type:"vec3"},{name:"normal",type:"vec3"}]);return e.attributes.uv.location=0,e.attributes.f.location=1,e.attributes.normal.location=2,e},e.createContourShader=function(t){var e=n(t,s,o,null,[{name:"uv",type:"vec4"},{name:"f",type:"float"}]);return e.attributes.uv.location=0,e.attributes.f.location=1,e},e.createPickContourShader=function(t){var e=n(t,s,l,null,[{name:"uv",type:"vec4"},{name:"f",type:"float"}]);return e.attributes.uv.location=0,e.attributes.f.location=1,e}},3754:function(t,e,r){"use strict";t.exports=function(t){var e=t.gl,r=m(e),n=b(e),s=x(e),l=_(e),u=i(e),c=a(e,[{buffer:u,size:4,stride:w,offset:0},{buffer:u,size:3,stride:w,offset:16},{buffer:u,size:3,stride:w,offset:28}]),f=i(e),h=a(e,[{buffer:f,size:4,stride:20,offset:0},{buffer:f,size:1,stride:20,offset:16}]),p=i(e),d=a(e,[{buffer:p,size:2,type:e.FLOAT}]),v=o(e,1,S,e.RGBA,e.UNSIGNED_BYTE);v.minFilter=e.LINEAR,v.magFilter=e.LINEAR;var g=new E(e,[0,0],[[0,0,0],[0,0,0]],r,n,u,c,v,s,l,f,h,p,d,[0,0,0]),y={levels:[[],[],[]]};for(var T in t)y[T]=t[T];return y.colormap=y.colormap||"jet",g.update(y),g};var n=r(2288),i=r(5827),a=r(2944),o=r(8931),s=r(5306),l=r(9156),u=r(7498),c=r(7382),f=r(5050),h=r(4162),p=r(104),d=r(7437),v=r(5070),g=r(9144),y=r(9054),m=y.createShader,x=y.createContourShader,b=y.createPickShader,_=y.createPickContourShader,w=40,T=[1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1],k=[[0,0],[0,1],[1,0],[1,1],[1,0],[0,1]],A=[[0,0,0,0,0,0,0,0,0],[0,0,0,0,0,0,0,0,0],[0,0,0,0,0,0,0,0,0]];function M(t,e,r,n,i){this.position=t,this.index=e,this.uv=r,this.level=n,this.dataCoordinate=i}!function(){for(var t=0;t<3;++t){var e=A[t],r=(t+2)%3;e[(t+1)%3+0]=1,e[r+3]=1,e[t+6]=1}}();var S=256;function E(t,e,r,n,i,a,o,l,u,c,h,p,d,v,g){this.gl=t,this.shape=e,this.bounds=r,this.objectOffset=g,this.intensityBounds=[],this._shader=n,this._pickShader=i,this._coordinateBuffer=a,this._vao=o,this._colorMap=l,this._contourShader=u,this._contourPickShader=c,this._contourBuffer=h,this._contourVAO=p,this._contourOffsets=[[],[],[]],this._contourCounts=[[],[],[]],this._vertexCount=0,this._pickResult=new M([0,0,0],[0,0],[0,0],[0,0,0],[0,0,0]),this._dynamicBuffer=d,this._dynamicVAO=v,this._dynamicOffsets=[0,0,0],this._dynamicCounts=[0,0,0],this.contourWidth=[1,1,1],this.contourLevels=[[1],[1],[1]],this.contourTint=[0,0,0],this.contourColor=[[.5,.5,.5,1],[.5,.5,.5,1],[.5,.5,.5,1]],this.showContour=!0,this.showSurface=!0,this.enableHighlight=[!0,!0,!0],this.highlightColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.highlightTint=[1,1,1],this.highlightLevel=[-1,-1,-1],this.enableDynamic=[!0,!0,!0],this.dynamicLevel=[NaN,NaN,NaN],this.dynamicColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.dynamicTint=[1,1,1],this.dynamicWidth=[1,1,1],this.axesBounds=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]],this.surfaceProject=[!1,!1,!1],this.contourProject=[[!1,!1,!1],[!1,!1,!1],[!1,!1,!1]],this.colorBounds=[!1,!1],this._field=[f(s.mallocFloat(1024),[0,0]),f(s.mallocFloat(1024),[0,0]),f(s.mallocFloat(1024),[0,0])],this.pickId=1,this.clipBounds=[[-1/0,-1/0,-1/0],[1/0,1/0,1/0]],this.snapToData=!1,this.pixelRatio=1,this.opacity=1,this.lightPosition=[10,1e4,0],this.ambientLight=.8,this.diffuseLight=.8,this.specularLight=2,this.roughness=.5,this.fresnel=1.5,this.vertexColor=0,this.dirty=!0}var L=E.prototype;L.genColormap=function(t,e){var r=!1,n=c([l({colormap:t,nshades:S,format:"rgba"}).map((function(t,n){var i=e?function(t,e){if(!e)return 1;if(!e.length)return 1;for(var r=0;rt&&r>0){var n=(e[r][0]-t)/(e[r][0]-e[r-1][0]);return e[r][1]*(1-n)+n*e[r-1][1]}}return 1}(n/255,e):t[3];return i<1&&(r=!0),[t[0],t[1],t[2],255*i]}))]);return u.divseq(n,255),this.hasAlphaScale=r,n},L.isTransparent=function(){return this.opacity<1||this.hasAlphaScale},L.isOpaque=function(){return!this.isTransparent()},L.pickSlots=1,L.setPickBase=function(t){this.pickId=t};var C=[0,0,0],P={showSurface:!1,showContour:!1,projections:[T.slice(),T.slice(),T.slice()],clipBounds:[[[0,0,0],[0,0,0]],[[0,0,0],[0,0,0]],[[0,0,0],[0,0,0]]]};function O(t,e){var r,n,i,a=e.axes&&e.axes.lastCubeProps.axis||C,o=e.showSurface,s=e.showContour;for(r=0;r<3;++r)for(o=o||e.surfaceProject[r],n=0;n<3;++n)s=s||e.contourProject[r][n];for(r=0;r<3;++r){var l=P.projections[r];for(n=0;n<16;++n)l[n]=0;for(n=0;n<4;++n)l[5*n]=1;l[5*r]=0,l[12+r]=e.axesBounds[+(a[r]>0)][r],p(l,t.model,l);var u=P.clipBounds[r];for(i=0;i<2;++i)for(n=0;n<3;++n)u[i][n]=t.clipBounds[i][n];u[0][r]=-1e8,u[1][r]=1e8}return P.showSurface=o,P.showContour=s,P}var I={model:T,view:T,projection:T,inverseModel:T.slice(),lowerBound:[0,0,0],upperBound:[0,0,0],colorMap:0,clipBounds:[[0,0,0],[0,0,0]],height:0,contourTint:0,contourColor:[0,0,0,1],permutation:[1,0,0,0,1,0,0,0,1],zOffset:-1e-4,objectOffset:[0,0,0],kambient:1,kdiffuse:1,kspecular:1,lightPosition:[1e3,1e3,1e3],eyePosition:[0,0,0],roughness:1,fresnel:1,opacity:1,vertexColor:0},D=T.slice(),z=[1,0,0,0,1,0,0,0,1];function R(t,e){t=t||{};var r=this.gl;r.disable(r.CULL_FACE),this._colorMap.bind(0);var n=I;n.model=t.model||T,n.view=t.view||T,n.projection=t.projection||T,n.lowerBound=[this.bounds[0][0],this.bounds[0][1],this.colorBounds[0]||this.bounds[0][2]],n.upperBound=[this.bounds[1][0],this.bounds[1][1],this.colorBounds[1]||this.bounds[1][2]],n.objectOffset=this.objectOffset,n.contourColor=this.contourColor[0],n.inverseModel=d(n.inverseModel,n.model);for(var i=0;i<2;++i)for(var a=n.clipBounds[i],o=0;o<3;++o)a[o]=Math.min(Math.max(this.clipBounds[i][o],-1e8),1e8);n.kambient=this.ambientLight,n.kdiffuse=this.diffuseLight,n.kspecular=this.specularLight,n.roughness=this.roughness,n.fresnel=this.fresnel,n.opacity=this.opacity,n.height=0,n.permutation=z,n.vertexColor=this.vertexColor;var s=D;for(p(s,n.view,n.model),p(s,n.projection,s),d(s,s),i=0;i<3;++i)n.eyePosition[i]=s[12+i]/s[15];var l=s[15];for(i=0;i<3;++i)l+=this.lightPosition[i]*s[4*i+3];for(i=0;i<3;++i){var u=s[12+i];for(o=0;o<3;++o)u+=s[4*o+i]*this.lightPosition[o];n.lightPosition[i]=u/l}var c=O(n,this);if(c.showSurface){for(this._shader.bind(),this._shader.uniforms=n,this._vao.bind(),this.showSurface&&this._vertexCount&&this._vao.draw(r.TRIANGLES,this._vertexCount),i=0;i<3;++i)this.surfaceProject[i]&&this.vertexCount&&(this._shader.uniforms.model=c.projections[i],this._shader.uniforms.clipBounds=c.clipBounds[i],this._vao.draw(r.TRIANGLES,this._vertexCount));this._vao.unbind()}if(c.showContour){var f=this._contourShader;n.kambient=1,n.kdiffuse=0,n.kspecular=0,n.opacity=1,f.bind(),f.uniforms=n;var h=this._contourVAO;for(h.bind(),i=0;i<3;++i)for(f.uniforms.permutation=A[i],r.lineWidth(this.contourWidth[i]*this.pixelRatio),o=0;o>4)/16)/255,i=Math.floor(n),a=n-i,o=e[1]*(t.value[1]+(15&t.value[2])/16)/255,s=Math.floor(o),l=o-s;i+=1,s+=1;var u=r.position;u[0]=u[1]=u[2]=0;for(var c=0;c<2;++c)for(var f=c?a:1-a,h=0;h<2;++h)for(var p=i+c,d=s+h,g=f*(h?l:1-l),y=0;y<3;++y)u[y]+=this._field[y].get(p,d)*g;for(var m=this._pickResult.level,x=0;x<3;++x)if(m[x]=v.le(this.contourLevels[x],u[x]),m[x]<0)this.contourLevels[x].length>0&&(m[x]=0);else if(m[x]Math.abs(_-u[x])&&(m[x]+=1)}for(r.index[0]=a<.5?i:i+1,r.index[1]=l<.5?s:s+1,r.uv[0]=n/e[0],r.uv[1]=o/e[1],y=0;y<3;++y)r.dataCoordinate[y]=this._field[y].get(r.index[0],r.index[1]);return r},L.padField=function(t,e){var r=e.shape.slice(),n=t.shape.slice();u.assign(t.lo(1,1).hi(r[0],r[1]),e),u.assign(t.lo(1).hi(r[0],1),e.hi(r[0],1)),u.assign(t.lo(1,n[1]-1).hi(r[0],1),e.lo(0,r[1]-1).hi(r[0],1)),u.assign(t.lo(0,1).hi(1,r[1]),e.hi(1)),u.assign(t.lo(n[0]-1,1).hi(1,r[1]),e.lo(r[0]-1)),t.set(0,0,e.get(0,0)),t.set(0,n[1]-1,e.get(0,r[1]-1)),t.set(n[0]-1,0,e.get(r[0]-1,0)),t.set(n[0]-1,n[1]-1,e.get(r[0]-1,r[1]-1))},L.update=function(t){t=t||{},this.objectOffset=t.objectOffset||this.objectOffset,this.dirty=!0,"contourWidth"in t&&(this.contourWidth=B(t.contourWidth,Number)),"showContour"in t&&(this.showContour=B(t.showContour,Boolean)),"showSurface"in t&&(this.showSurface=!!t.showSurface),"contourTint"in t&&(this.contourTint=B(t.contourTint,Boolean)),"contourColor"in t&&(this.contourColor=j(t.contourColor)),"contourProject"in t&&(this.contourProject=B(t.contourProject,(function(t){return B(t,Boolean)}))),"surfaceProject"in t&&(this.surfaceProject=t.surfaceProject),"dynamicColor"in t&&(this.dynamicColor=j(t.dynamicColor)),"dynamicTint"in t&&(this.dynamicTint=B(t.dynamicTint,Number)),"dynamicWidth"in t&&(this.dynamicWidth=B(t.dynamicWidth,Number)),"opacity"in t&&(this.opacity=t.opacity),"opacityscale"in t&&(this.opacityscale=t.opacityscale),"colorBounds"in t&&(this.colorBounds=t.colorBounds),"vertexColor"in t&&(this.vertexColor=t.vertexColor?1:0),"colormap"in t&&this._colorMap.setPixels(this.genColormap(t.colormap,this.opacityscale));var e=t.field||t.coords&&t.coords[2]||null,r=!1;if(e||(e=this._field[2].shape[0]||this._field[2].shape[2]?this._field[2].lo(1,1).hi(this._field[2].shape[0]-2,this._field[2].shape[1]-2):this._field[2].hi(0,0)),"field"in t||"coords"in t){var i=(e.shape[0]+2)*(e.shape[1]+2);i>this._field[2].data.length&&(s.freeFloat(this._field[2].data),this._field[2].data=s.mallocFloat(n.nextPow2(i))),this._field[2]=f(this._field[2].data,[e.shape[0]+2,e.shape[1]+2]),this.padField(this._field[2],e),this.shape=e.shape.slice();for(var a=this.shape,o=0;o<2;++o)this._field[2].size>this._field[o].data.length&&(s.freeFloat(this._field[o].data),this._field[o].data=s.mallocFloat(this._field[2].size)),this._field[o]=f(this._field[o].data,[a[0]+2,a[1]+2]);if(t.coords){var l=t.coords;if(!Array.isArray(l)||3!==l.length)throw new Error("gl-surface: invalid coordinates for x/y");for(o=0;o<2;++o){var u=l[o];for(y=0;y<2;++y)if(u.shape[y]!==a[y])throw new Error("gl-surface: coords have incorrect shape");this.padField(this._field[o],u)}}else if(t.ticks){var c=t.ticks;if(!Array.isArray(c)||2!==c.length)throw new Error("gl-surface: invalid ticks");for(o=0;o<2;++o){var p=c[o];if((Array.isArray(p)||p.length)&&(p=f(p)),p.shape[0]!==a[o])throw new Error("gl-surface: invalid tick length");var d=f(p.data,a);d.stride[o]=p.stride[0],d.stride[1^o]=0,this.padField(this._field[o],d)}}else{for(o=0;o<2;++o){var v=[0,0];v[o]=1,this._field[o]=f(this._field[o].data,[a[0]+2,a[1]+2],v,0)}this._field[0].set(0,0,0);for(var y=0;y0){for(var xt=0;xt<5;++xt)$.pop();U-=1}continue t}$.push(nt[0],nt[1],ot[0],ot[1],nt[2]),U+=1}}rt.push(U)}this._contourOffsets[Q]=et,this._contourCounts[Q]=rt}var bt=s.mallocFloat($.length);for(o=0;o<$.length;++o)bt[o]=$[o];this._contourBuffer.update(bt),s.freeFloat(bt)}},L.dispose=function(){this._shader.dispose(),this._vao.dispose(),this._coordinateBuffer.dispose(),this._colorMap.dispose(),this._contourBuffer.dispose(),this._contourVAO.dispose(),this._contourShader.dispose(),this._contourPickShader.dispose(),this._dynamicBuffer.dispose(),this._dynamicVAO.dispose();for(var t=0;t<3;++t)s.freeFloat(this._field[t].data)},L.highlight=function(t){var e,r;if(!t)return this._dynamicCounts=[0,0,0],this.dyanamicLevel=[NaN,NaN,NaN],void(this.highlightLevel=[-1,-1,-1]);for(e=0;e<3;++e)this.enableHighlight[e]?this.highlightLevel[e]=t.level[e]:this.highlightLevel[e]=-1;for(r=this.snapToData?t.dataCoordinate:t.position,e=0;e<3;++e)r[e]-=this.objectOffset[e];if(this.enableDynamic[0]&&r[0]!==this.dynamicLevel[0]||this.enableDynamic[1]&&r[1]!==this.dynamicLevel[1]||this.enableDynamic[2]&&r[2]!==this.dynamicLevel[2]){for(var n=0,i=this.shape,a=s.mallocFloat(12*i[0]*i[1]),o=0;o<3;++o)if(this.enableDynamic[o]){this.dynamicLevel[o]=r[o];var l=(o+1)%3,u=(o+2)%3,c=this._field[o],f=this._field[l],p=this._field[u],d=h(c,r[o]),v=d.cells,g=d.positions;for(this._dynamicOffsets[o]=n,e=0;es||o[1]<0||o[1]>s)throw new Error("gl-texture2d: Invalid texture size");var l=d(o,e.stride.slice()),u=0;"float32"===r?u=t.FLOAT:"float64"===r?(u=t.FLOAT,l=!1,r="float32"):"uint8"===r?u=t.UNSIGNED_BYTE:(u=t.UNSIGNED_BYTE,l=!1,r="uint8");var f,p,g=0;if(2===o.length)g=t.LUMINANCE,o=[o[0],o[1],1],e=n(e.data,o,[e.stride[0],e.stride[1],1],e.offset);else{if(3!==o.length)throw new Error("gl-texture2d: Invalid shape for texture");if(1===o[2])g=t.ALPHA;else if(2===o[2])g=t.LUMINANCE_ALPHA;else if(3===o[2])g=t.RGB;else{if(4!==o[2])throw new Error("gl-texture2d: Invalid shape for pixel coords");g=t.RGBA}}u!==t.FLOAT||t.getExtension("OES_texture_float")||(u=t.UNSIGNED_BYTE,l=!1);var y=e.size;if(l)f=0===e.offset&&e.data.length===y?e.data:e.data.subarray(e.offset,e.offset+y);else{var m=[o[2],o[2]*o[0],1];p=a.malloc(y,r);var x=n(p,o,m,0);"float32"!==r&&"float64"!==r||u!==t.UNSIGNED_BYTE?i.assign(x,e):c(x,e),f=p.subarray(0,y)}var b=v(t);return t.texImage2D(t.TEXTURE_2D,0,g,o[0],o[1],0,g,u,f),l||a.free(p),new h(t,b,o[0],o[1],g,u)}(t,e)}throw new Error("gl-texture2d: Invalid arguments for texture2d constructor")};var o=null,s=null,l=null;function u(t){return"undefined"!=typeof HTMLCanvasElement&&t instanceof HTMLCanvasElement||"undefined"!=typeof HTMLImageElement&&t instanceof HTMLImageElement||"undefined"!=typeof HTMLVideoElement&&t instanceof HTMLVideoElement||"undefined"!=typeof ImageData&&t instanceof ImageData}var c=function(t,e){i.muls(t,e,255)};function f(t,e,r){var n=t.gl,i=n.getParameter(n.MAX_TEXTURE_SIZE);if(e<0||e>i||r<0||r>i)throw new Error("gl-texture2d: Invalid texture size");return t._shape=[e,r],t.bind(),n.texImage2D(n.TEXTURE_2D,0,t.format,e,r,0,t.format,t.type,null),t._mipLevels=[0],t}function h(t,e,r,n,i,a){this.gl=t,this.handle=e,this.format=i,this.type=a,this._shape=[r,n],this._mipLevels=[0],this._magFilter=t.NEAREST,this._minFilter=t.NEAREST,this._wrapS=t.CLAMP_TO_EDGE,this._wrapT=t.CLAMP_TO_EDGE,this._anisoSamples=1;var o=this,s=[this._wrapS,this._wrapT];Object.defineProperties(s,[{get:function(){return o._wrapS},set:function(t){return o.wrapS=t}},{get:function(){return o._wrapT},set:function(t){return o.wrapT=t}}]),this._wrapVector=s;var l=[this._shape[0],this._shape[1]];Object.defineProperties(l,[{get:function(){return o._shape[0]},set:function(t){return o.width=t}},{get:function(){return o._shape[1]},set:function(t){return o.height=t}}]),this._shapeVector=l}var p=h.prototype;function d(t,e){return 3===t.length?1===e[2]&&e[1]===t[0]*t[2]&&e[0]===t[2]:1===e[0]&&e[1]===t[0]}function v(t){var e=t.createTexture();return t.bindTexture(t.TEXTURE_2D,e),t.texParameteri(t.TEXTURE_2D,t.TEXTURE_MIN_FILTER,t.NEAREST),t.texParameteri(t.TEXTURE_2D,t.TEXTURE_MAG_FILTER,t.NEAREST),t.texParameteri(t.TEXTURE_2D,t.TEXTURE_WRAP_S,t.CLAMP_TO_EDGE),t.texParameteri(t.TEXTURE_2D,t.TEXTURE_WRAP_T,t.CLAMP_TO_EDGE),e}function g(t,e,r,n,i){var a=t.getParameter(t.MAX_TEXTURE_SIZE);if(e<0||e>a||r<0||r>a)throw new Error("gl-texture2d: Invalid texture shape");if(i===t.FLOAT&&!t.getExtension("OES_texture_float"))throw new Error("gl-texture2d: Floating point textures not supported on this platform");var o=v(t);return t.texImage2D(t.TEXTURE_2D,0,n,e,r,0,n,i,null),new h(t,o,e,r,n,i)}Object.defineProperties(p,{minFilter:{get:function(){return this._minFilter},set:function(t){this.bind();var e=this.gl;if(this.type===e.FLOAT&&o.indexOf(t)>=0&&(e.getExtension("OES_texture_float_linear")||(t=e.NEAREST)),s.indexOf(t)<0)throw new Error("gl-texture2d: Unknown filter mode "+t);return e.texParameteri(e.TEXTURE_2D,e.TEXTURE_MIN_FILTER,t),this._minFilter=t}},magFilter:{get:function(){return this._magFilter},set:function(t){this.bind();var e=this.gl;if(this.type===e.FLOAT&&o.indexOf(t)>=0&&(e.getExtension("OES_texture_float_linear")||(t=e.NEAREST)),s.indexOf(t)<0)throw new Error("gl-texture2d: Unknown filter mode "+t);return e.texParameteri(e.TEXTURE_2D,e.TEXTURE_MAG_FILTER,t),this._magFilter=t}},mipSamples:{get:function(){return this._anisoSamples},set:function(t){var e=this._anisoSamples;if(this._anisoSamples=0|Math.max(t,1),e!==this._anisoSamples){var r=this.gl.getExtension("EXT_texture_filter_anisotropic");r&&this.gl.texParameterf(this.gl.TEXTURE_2D,r.TEXTURE_MAX_ANISOTROPY_EXT,this._anisoSamples)}return this._anisoSamples}},wrapS:{get:function(){return this._wrapS},set:function(t){if(this.bind(),l.indexOf(t)<0)throw new Error("gl-texture2d: Unknown wrap mode "+t);return this.gl.texParameteri(this.gl.TEXTURE_2D,this.gl.TEXTURE_WRAP_S,t),this._wrapS=t}},wrapT:{get:function(){return this._wrapT},set:function(t){if(this.bind(),l.indexOf(t)<0)throw new Error("gl-texture2d: Unknown wrap mode "+t);return this.gl.texParameteri(this.gl.TEXTURE_2D,this.gl.TEXTURE_WRAP_T,t),this._wrapT=t}},wrap:{get:function(){return this._wrapVector},set:function(t){if(Array.isArray(t)||(t=[t,t]),2!==t.length)throw new Error("gl-texture2d: Must specify wrap mode for rows and columns");for(var e=0;e<2;++e)if(l.indexOf(t[e])<0)throw new Error("gl-texture2d: Unknown wrap mode "+t);this._wrapS=t[0],this._wrapT=t[1];var r=this.gl;return this.bind(),r.texParameteri(r.TEXTURE_2D,r.TEXTURE_WRAP_S,this._wrapS),r.texParameteri(r.TEXTURE_2D,r.TEXTURE_WRAP_T,this._wrapT),t}},shape:{get:function(){return this._shapeVector},set:function(t){if(Array.isArray(t)){if(2!==t.length)throw new Error("gl-texture2d: Invalid texture shape")}else t=[0|t,0|t];return f(this,0|t[0],0|t[1]),[0|t[0],0|t[1]]}},width:{get:function(){return this._shape[0]},set:function(t){return f(this,t|=0,this._shape[1]),t}},height:{get:function(){return this._shape[1]},set:function(t){return t|=0,f(this,this._shape[0],t),t}}}),p.bind=function(t){var e=this.gl;return void 0!==t&&e.activeTexture(e.TEXTURE0+(0|t)),e.bindTexture(e.TEXTURE_2D,this.handle),void 0!==t?0|t:e.getParameter(e.ACTIVE_TEXTURE)-e.TEXTURE0},p.dispose=function(){this.gl.deleteTexture(this.handle)},p.generateMipmap=function(){this.bind(),this.gl.generateMipmap(this.gl.TEXTURE_2D);for(var t=Math.min(this._shape[0],this._shape[1]),e=0;t>0;++e,t>>>=1)this._mipLevels.indexOf(e)<0&&this._mipLevels.push(e)},p.setPixels=function(t,e,r,o){var s=this.gl;this.bind(),Array.isArray(e)?(o=r,r=0|e[1],e=0|e[0]):(e=e||0,r=r||0),o=o||0;var l=u(t)?t:t.raw;if(l)this._mipLevels.indexOf(o)<0?(s.texImage2D(s.TEXTURE_2D,0,this.format,this.format,this.type,l),this._mipLevels.push(o)):s.texSubImage2D(s.TEXTURE_2D,o,e,r,this.format,this.type,l);else{if(!(t.shape&&t.stride&&t.data))throw new Error("gl-texture2d: Unsupported data type");if(t.shape.length<2||e+t.shape[1]>this._shape[1]>>>o||r+t.shape[0]>this._shape[0]>>>o||e<0||r<0)throw new Error("gl-texture2d: Texture dimensions are out of bounds");!function(t,e,r,o,s,l,u,f){var h=f.dtype,p=f.shape.slice();if(p.length<2||p.length>3)throw new Error("gl-texture2d: Invalid ndarray, must be 2d or 3d");var v=0,g=0,y=d(p,f.stride.slice());if("float32"===h?v=t.FLOAT:"float64"===h?(v=t.FLOAT,y=!1,h="float32"):"uint8"===h?v=t.UNSIGNED_BYTE:(v=t.UNSIGNED_BYTE,y=!1,h="uint8"),2===p.length)g=t.LUMINANCE,p=[p[0],p[1],1],f=n(f.data,p,[f.stride[0],f.stride[1],1],f.offset);else{if(3!==p.length)throw new Error("gl-texture2d: Invalid shape for texture");if(1===p[2])g=t.ALPHA;else 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L=_*r[a]+w*h[a]+T*e[a];E[4*a+1]=k*r[a]+A*h[a]+M*e[a],E[4*a+2]=L,E[4*a+3]=0}var C=E[1],P=E[5],O=E[9],I=E[2],D=E[6],z=E[10],R=P*z-O*D,F=O*I-C*z,B=C*D-P*I,N=u(R,F,B);for(R/=N,F/=N,B/=N,E[0]=R,E[4]=F,E[8]=B,a=0;a<3;++a)S[a]=b[a]+E[2+4*a]*p;for(a=0;a<3;++a){c=0;for(var j=0;j<3;++j)c+=E[a+4*j]*S[j];E[12+a]=-c}E[15]=1},p.getMatrix=function(t,e){this.recalcMatrix(t);var r=this.computedMatrix;if(e){for(var n=0;n<16;++n)e[n]=r[n];return e}return r};var d=[0,0,0];p.rotate=function(t,e,r,n){if(this.angle.move(t,e,r),n){this.recalcMatrix(t);var i=this.computedMatrix;d[0]=i[2],d[1]=i[6],d[2]=i[10];for(var o=this.computedUp,s=this.computedRight,l=this.computedToward,u=0;u<3;++u)i[4*u]=o[u],i[4*u+1]=s[u],i[4*u+2]=l[u];for(a(i,i,n,d),u=0;u<3;++u)o[u]=i[4*u],s[u]=i[4*u+1];this.up.set(t,o[0],o[1],o[2]),this.right.set(t,s[0],s[1],s[2])}},p.pan=function(t,e,r,n){e=e||0,r=r||0,n=n||0,this.recalcMatrix(t);var 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this.uint16[f+0]=e,this.uint16[f+1]=r,this.uint16[f+2]=n,this.uint16[f+3]=i,this.uint16[f+4]=a,this.uint16[f+5]=o,this.uint16[f+6]=s,this.uint16[f+7]=l,this.uint16[f+8]=u,this.uint16[f+9]=c,t},e}(Qi);sa.prototype.bytesPerElement=20,oi("StructArrayLayout10ui20",sa);var la=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.int16=new Int16Array(this.arrayBuffer),this.uint16=new Uint16Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r,n,i,a,o,s,l,u,c,f){var h=this.length;return this.resize(h+1),this.emplace(h,t,e,r,n,i,a,o,s,l,u,c,f)},e.prototype.emplace=function(t,e,r,n,i,a,o,s,l,u,c,f,h){var p=12*t;return this.int16[p+0]=e,this.int16[p+1]=r,this.int16[p+2]=n,this.int16[p+3]=i,this.uint16[p+4]=a,this.uint16[p+5]=o,this.uint16[p+6]=s,this.uint16[p+7]=l,this.int16[p+8]=u,this.int16[p+9]=c,this.int16[p+10]=f,this.int16[p+11]=h,t},e}(Qi);la.prototype.bytesPerElement=24,oi("StructArrayLayout4i4ui4i24",la);var ua=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.float32=new Float32Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r){var n=this.length;return this.resize(n+1),this.emplace(n,t,e,r)},e.prototype.emplace=function(t,e,r,n){var i=3*t;return this.float32[i+0]=e,this.float32[i+1]=r,this.float32[i+2]=n,t},e}(Qi);ua.prototype.bytesPerElement=12,oi("StructArrayLayout3f12",ua);var ca=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.uint32=new Uint32Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t){var e=this.length;return this.resize(e+1),this.emplace(e,t)},e.prototype.emplace=function(t,e){var r=1*t;return this.uint32[r+0]=e,t},e}(Qi);ca.prototype.bytesPerElement=4,oi("StructArrayLayout1ul4",ca);var fa=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.int16=new Int16Array(this.arrayBuffer),this.uint32=new Uint32Array(this.arrayBuffer),this.uint16=new Uint16Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r,n,i,a,o,s,l){var u=this.length;return this.resize(u+1),this.emplace(u,t,e,r,n,i,a,o,s,l)},e.prototype.emplace=function(t,e,r,n,i,a,o,s,l,u){var c=10*t,f=5*t;return this.int16[c+0]=e,this.int16[c+1]=r,this.int16[c+2]=n,this.int16[c+3]=i,this.int16[c+4]=a,this.int16[c+5]=o,this.uint32[f+3]=s,this.uint16[c+8]=l,this.uint16[c+9]=u,t},e}(Qi);fa.prototype.bytesPerElement=20,oi("StructArrayLayout6i1ul2ui20",fa);var ha=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.int16=new Int16Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r,n,i,a){var o=this.length;return this.resize(o+1),this.emplace(o,t,e,r,n,i,a)},e.prototype.emplace=function(t,e,r,n,i,a,o){var s=6*t;return this.int16[s+0]=e,this.int16[s+1]=r,this.int16[s+2]=n,this.int16[s+3]=i,this.int16[s+4]=a,this.int16[s+5]=o,t},e}(Qi);ha.prototype.bytesPerElement=12,oi("StructArrayLayout2i2i2i12",ha);var pa=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.float32=new Float32Array(this.arrayBuffer),this.int16=new Int16Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r,n,i){var a=this.length;return this.resize(a+1),this.emplace(a,t,e,r,n,i)},e.prototype.emplace=function(t,e,r,n,i,a){var o=4*t,s=8*t;return this.float32[o+0]=e,this.float32[o+1]=r,this.float32[o+2]=n,this.int16[s+6]=i,this.int16[s+7]=a,t},e}(Qi);pa.prototype.bytesPerElement=16,oi("StructArrayLayout2f1f2i16",pa);var da=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.float32=new Float32Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r,n){var i=this.length;return this.resize(i+1),this.emplace(i,t,e,r,n)},e.prototype.emplace=function(t,e,r,n,i){var a=12*t,o=3*t;return this.uint8[a+0]=e,this.uint8[a+1]=r,this.float32[o+1]=n,this.float32[o+2]=i,t},e}(Qi);da.prototype.bytesPerElement=12,oi("StructArrayLayout2ub2f12",da);var va=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.uint16=new Uint16Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r){var n=this.length;return this.resize(n+1),this.emplace(n,t,e,r)},e.prototype.emplace=function(t,e,r,n){var i=3*t;return this.uint16[i+0]=e,this.uint16[i+1]=r,this.uint16[i+2]=n,t},e}(Qi);va.prototype.bytesPerElement=6,oi("StructArrayLayout3ui6",va);var ga=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.int16=new Int16Array(this.arrayBuffer),this.uint16=new Uint16Array(this.arrayBuffer),this.uint32=new Uint32Array(this.arrayBuffer),this.float32=new Float32Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r,n,i,a,o,s,l,u,c,f,h,p,d,v,g){var y=this.length;return this.resize(y+1),this.emplace(y,t,e,r,n,i,a,o,s,l,u,c,f,h,p,d,v,g)},e.prototype.emplace=function(t,e,r,n,i,a,o,s,l,u,c,f,h,p,d,v,g,y){var m=24*t,x=12*t,b=48*t;return this.int16[m+0]=e,this.int16[m+1]=r,this.uint16[m+2]=n,this.uint16[m+3]=i,this.uint32[x+2]=a,this.uint32[x+3]=o,this.uint32[x+4]=s,this.uint16[m+10]=l,this.uint16[m+11]=u,this.uint16[m+12]=c,this.float32[x+7]=f,this.float32[x+8]=h,this.uint8[b+36]=p,this.uint8[b+37]=d,this.uint8[b+38]=v,this.uint32[x+10]=g,this.int16[m+22]=y,t},e}(Qi);ga.prototype.bytesPerElement=48,oi("StructArrayLayout2i2ui3ul3ui2f3ub1ul1i48",ga);var ya=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.int16=new Int16Array(this.arrayBuffer),this.uint16=new Uint16Array(this.arrayBuffer),this.uint32=new Uint32Array(this.arrayBuffer),this.float32=new Float32Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r,n,i,a,o,s,l,u,c,f,h,p,d,v,g,y,m,x,b,_,w,T,k,A,M,S){var E=this.length;return this.resize(E+1),this.emplace(E,t,e,r,n,i,a,o,s,l,u,c,f,h,p,d,v,g,y,m,x,b,_,w,T,k,A,M,S)},e.prototype.emplace=function(t,e,r,n,i,a,o,s,l,u,c,f,h,p,d,v,g,y,m,x,b,_,w,T,k,A,M,S,E){var L=34*t,C=17*t;return this.int16[L+0]=e,this.int16[L+1]=r,this.int16[L+2]=n,this.int16[L+3]=i,this.int16[L+4]=a,this.int16[L+5]=o,this.int16[L+6]=s,this.int16[L+7]=l,this.uint16[L+8]=u,this.uint16[L+9]=c,this.uint16[L+10]=f,this.uint16[L+11]=h,this.uint16[L+12]=p,this.uint16[L+13]=d,this.uint16[L+14]=v,this.uint16[L+15]=g,this.uint16[L+16]=y,this.uint16[L+17]=m,this.uint16[L+18]=x,this.uint16[L+19]=b,this.uint16[L+20]=_,this.uint16[L+21]=w,this.uint16[L+22]=T,this.uint32[C+12]=k,this.float32[C+13]=A,this.float32[C+14]=M,this.float32[C+15]=S,this.float32[C+16]=E,t},e}(Qi);ya.prototype.bytesPerElement=68,oi("StructArrayLayout8i15ui1ul4f68",ya);var ma=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.float32=new Float32Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t){var e=this.length;return this.resize(e+1),this.emplace(e,t)},e.prototype.emplace=function(t,e){var r=1*t;return this.float32[r+0]=e,t},e}(Qi);ma.prototype.bytesPerElement=4,oi("StructArrayLayout1f4",ma);var xa=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.int16=new Int16Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r){var n=this.length;return this.resize(n+1),this.emplace(n,t,e,r)},e.prototype.emplace=function(t,e,r,n){var i=3*t;return this.int16[i+0]=e,this.int16[i+1]=r,this.int16[i+2]=n,t},e}(Qi);xa.prototype.bytesPerElement=6,oi("StructArrayLayout3i6",xa);var ba=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.uint32=new Uint32Array(this.arrayBuffer),this.uint16=new Uint16Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r){var n=this.length;return this.resize(n+1),this.emplace(n,t,e,r)},e.prototype.emplace=function(t,e,r,n){var i=2*t,a=4*t;return this.uint32[i+0]=e,this.uint16[a+2]=r,this.uint16[a+3]=n,t},e}(Qi);ba.prototype.bytesPerElement=8,oi("StructArrayLayout1ul2ui8",ba);var _a=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.uint16=new Uint16Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e){var r=this.length;return this.resize(r+1),this.emplace(r,t,e)},e.prototype.emplace=function(t,e,r){var n=2*t;return this.uint16[n+0]=e,this.uint16[n+1]=r,t},e}(Qi);_a.prototype.bytesPerElement=4,oi("StructArrayLayout2ui4",_a);var wa=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.uint16=new Uint16Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t){var e=this.length;return this.resize(e+1),this.emplace(e,t)},e.prototype.emplace=function(t,e){var r=1*t;return this.uint16[r+0]=e,t},e}(Qi);wa.prototype.bytesPerElement=2,oi("StructArrayLayout1ui2",wa);var Ta=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.float32=new Float32Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r,n){var i=this.length;return this.resize(i+1),this.emplace(i,t,e,r,n)},e.prototype.emplace=function(t,e,r,n,i){var a=4*t;return this.float32[a+0]=e,this.float32[a+1]=r,this.float32[a+2]=n,this.float32[a+3]=i,t},e}(Qi);Ta.prototype.bytesPerElement=16,oi("StructArrayLayout4f16",Ta);var ka=function(t){function e(){t.apply(this,arguments)}t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e;var r={anchorPointX:{configurable:!0},anchorPointY:{configurable:!0},x1:{configurable:!0},y1:{configurable:!0},x2:{configurable:!0},y2:{configurable:!0},featureIndex:{configurable:!0},sourceLayerIndex:{configurable:!0},bucketIndex:{configurable:!0},anchorPoint:{configurable:!0}};return r.anchorPointX.get=function(){return this._structArray.int16[this._pos2+0]},r.anchorPointY.get=function(){return this._structArray.int16[this._pos2+1]},r.x1.get=function(){return this._structArray.int16[this._pos2+2]},r.y1.get=function(){return this._structArray.int16[this._pos2+3]},r.x2.get=function(){return this._structArray.int16[this._pos2+4]},r.y2.get=function(){return this._structArray.int16[this._pos2+5]},r.featureIndex.get=function(){return this._structArray.uint32[this._pos4+3]},r.sourceLayerIndex.get=function(){return this._structArray.uint16[this._pos2+8]},r.bucketIndex.get=function(){return this._structArray.uint16[this._pos2+9]},r.anchorPoint.get=function(){return new a(this.anchorPointX,this.anchorPointY)},Object.defineProperties(e.prototype,r),e}($i);ka.prototype.size=20;var Aa=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.get=function(t){return new ka(this,t)},e}(fa);oi("CollisionBoxArray",Aa);var Ma=function(t){function e(){t.apply(this,arguments)}t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e;var r={anchorX:{configurable:!0},anchorY:{configurable:!0},glyphStartIndex:{configurable:!0},numGlyphs:{configurable:!0},vertexStartIndex:{configurable:!0},lineStartIndex:{configurable:!0},lineLength:{configurable:!0},segment:{configurable:!0},lowerSize:{configurable:!0},upperSize:{configurable:!0},lineOffsetX:{configurable:!0},lineOffsetY:{configurable:!0},writingMode:{configurable:!0},placedOrientation:{configurable:!0},hidden:{configurable:!0},crossTileID:{configurable:!0},associatedIconIndex:{configurable:!0}};return r.anchorX.get=function(){return this._structArray.int16[this._pos2+0]},r.anchorY.get=function(){return this._structArray.int16[this._pos2+1]},r.glyphStartIndex.get=function(){return this._structArray.uint16[this._pos2+2]},r.numGlyphs.get=function(){return this._structArray.uint16[this._pos2+3]},r.vertexStartIndex.get=function(){return this._structArray.uint32[this._pos4+2]},r.lineStartIndex.get=function(){return this._structArray.uint32[this._pos4+3]},r.lineLength.get=function(){return this._structArray.uint32[this._pos4+4]},r.segment.get=function(){return this._structArray.uint16[this._pos2+10]},r.lowerSize.get=function(){return this._structArray.uint16[this._pos2+11]},r.upperSize.get=function(){return this._structArray.uint16[this._pos2+12]},r.lineOffsetX.get=function(){return this._structArray.float32[this._pos4+7]},r.lineOffsetY.get=function(){return this._structArray.float32[this._pos4+8]},r.writingMode.get=function(){return this._structArray.uint8[this._pos1+36]},r.placedOrientation.get=function(){return this._structArray.uint8[this._pos1+37]},r.placedOrientation.set=function(t){this._structArray.uint8[this._pos1+37]=t},r.hidden.get=function(){return this._structArray.uint8[this._pos1+38]},r.hidden.set=function(t){this._structArray.uint8[this._pos1+38]=t},r.crossTileID.get=function(){return this._structArray.uint32[this._pos4+10]},r.crossTileID.set=function(t){this._structArray.uint32[this._pos4+10]=t},r.associatedIconIndex.get=function(){return this._structArray.int16[this._pos2+22]},Object.defineProperties(e.prototype,r),e}($i);Ma.prototype.size=48;var Sa=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.get=function(t){return new Ma(this,t)},e}(ga);oi("PlacedSymbolArray",Sa);var Ea=function(t){function e(){t.apply(this,arguments)}t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e;var r={anchorX:{configurable:!0},anchorY:{configurable:!0},rightJustifiedTextSymbolIndex:{configurable:!0},centerJustifiedTextSymbolIndex:{configurable:!0},leftJustifiedTextSymbolIndex:{configurable:!0},verticalPlacedTextSymbolIndex:{configurable:!0},placedIconSymbolIndex:{configurable:!0},verticalPlacedIconSymbolIndex:{configurable:!0},key:{configurable:!0},textBoxStartIndex:{configurable:!0},textBoxEndIndex:{configurable:!0},verticalTextBoxStartIndex:{configurable:!0},verticalTextBoxEndIndex:{configurable:!0},iconBoxStartIndex:{configurable:!0},iconBoxEndIndex:{configurable:!0},verticalIconBoxStartIndex:{configurable:!0},verticalIconBoxEndIndex:{configurable:!0},featureIndex:{configurable:!0},numHorizontalGlyphVertices:{configurable:!0},numVerticalGlyphVertices:{configurable:!0},numIconVertices:{configurable:!0},numVerticalIconVertices:{configurable:!0},useRuntimeCollisionCircles:{configurable:!0},crossTileID:{configurable:!0},textBoxScale:{configurable:!0},textOffset0:{configurable:!0},textOffset1:{configurable:!0},collisionCircleDiameter:{configurable:!0}};return 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L=Uu(h,y,v),C=Uu(p,m,g),P=0;P0&&(d=Math.max(10,d),this.circleDiameter=d)}else{var v=o.top*s-l,g=o.bottom*s+l,y=o.left*s-l,m=o.right*s+l,x=o.collisionPadding;if(x&&(y-=x[0]*s,v-=x[1]*s,m+=x[2]*s,g+=x[3]*s),c){var b=new a(y,v),_=new a(m,v),w=new a(y,g),T=new a(m,g),k=c*Math.PI/180;b._rotate(k),_._rotate(k),w._rotate(k),T._rotate(k),y=Math.min(b.x,_.x,w.x,T.x),m=Math.max(b.x,_.x,w.x,T.x),v=Math.min(b.y,_.y,w.y,T.y),g=Math.max(b.y,_.y,w.y,T.y)}t.emplaceBack(e.x,e.y,y,v,m,g,r,n,i)}this.boxEndIndex=t.length},Gu=function(t,e){if(void 0===t&&(t=[]),void 0===e&&(e=Wu),this.data=t,this.length=this.data.length,this.compare=e,this.length>0)for(var r=(this.length>>1)-1;r>=0;r--)this._down(r)};function Wu(t,e){return te?1:0}function Yu(t,e,r){void 0===e&&(e=1),void 0===r&&(r=!1);for(var n=1/0,i=1/0,o=-1/0,s=-1/0,l=t[0],u=0;uo)&&(o=c.x),(!u||c.y>s)&&(s=c.y)}var f=o-n,h=s-i,p=Math.min(f,h),d=p/2,v=new Gu([],Xu);if(0===p)return new a(n,i);for(var g=n;gm.d||!m.d)&&(m=b,r&&console.log("found best %d 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i=t-1>>1,a=e[i];if(r(n,a)>=0)break;e[t]=a,t=i}e[t]=n},Gu.prototype._down=function(t){for(var e=this.data,r=this.compare,n=this.length>>1,i=e[t];t=0)break;e[t]=o,t=a}e[t]=i};var Ku=7,Ju=Number.POSITIVE_INFINITY;function $u(t,e){return e[1]!==Ju?function(t,e,r){var n=0,i=0;switch(e=Math.abs(e),r=Math.abs(r),t){case"top-right":case"top-left":case"top":i=r-Ku;break;case"bottom-right":case"bottom-left":case"bottom":i=-r+Ku}switch(t){case"top-right":case"bottom-right":case"right":n=-e;break;case"top-left":case"bottom-left":case"left":n=e}return[n,i]}(t,e[0],e[1]):function(t,e){var r=0,n=0;e<0&&(e=0);var i=e/Math.sqrt(2);switch(t){case"top-right":case"top-left":n=i-Ku;break;case"bottom-right":case"bottom-left":n=-i+Ku;break;case"bottom":n=-e+Ku;break;case"top":n=e-Ku}switch(t){case"top-right":case"bottom-right":r=-i;break;case"top-left":case"bottom-left":r=i;break;case"left":r=e;break;case"right":r=-e}return[r,n]}(t,e[0])}function Qu(t){switch(t){case"right":case"top-right":case"bottom-right":return"right";case"left":case"top-left":case"bottom-left":return"left"}return"center"}var tc=255,ec=tc*Au;function rc(t,e,r,n,i,o,s,l,u,c,f,h,p,d,v){var g=function(t,e,r,n,i,o,s,l){for(var u=n.layout.get("text-rotate").evaluate(o,{})*Math.PI/180,c=[],f=0,h=e.positionedLines;fec&&k(t.layerIds[0]+': Value for "text-size" is >= '+tc+'. 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this.hasDebugData()&&this.iconCollisionBox.segments.get().length>0},hc.prototype.addIndicesForPlacedSymbol=function(t,e){for(var r=t.placedSymbolArray.get(e),n=r.vertexStartIndex+4*r.numGlyphs,i=r.vertexStartIndex;i1||this.icon.segments.get().length>1)){this.symbolInstanceIndexes=this.getSortedSymbolIndexes(t),this.sortedAngle=t,this.text.indexArray.clear(),this.icon.indexArray.clear(),this.featureSortOrder=[];for(var 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qi(Ft.layout_symbol["symbol-z-order"]),"icon-allow-overlap":new qi(Ft.layout_symbol["icon-allow-overlap"]),"icon-ignore-placement":new qi(Ft.layout_symbol["icon-ignore-placement"]),"icon-optional":new qi(Ft.layout_symbol["icon-optional"]),"icon-rotation-alignment":new qi(Ft.layout_symbol["icon-rotation-alignment"]),"icon-size":new Hi(Ft.layout_symbol["icon-size"]),"icon-text-fit":new qi(Ft.layout_symbol["icon-text-fit"]),"icon-text-fit-padding":new qi(Ft.layout_symbol["icon-text-fit-padding"]),"icon-image":new Hi(Ft.layout_symbol["icon-image"]),"icon-rotate":new Hi(Ft.layout_symbol["icon-rotate"]),"icon-padding":new qi(Ft.layout_symbol["icon-padding"]),"icon-keep-upright":new qi(Ft.layout_symbol["icon-keep-upright"]),"icon-offset":new Hi(Ft.layout_symbol["icon-offset"]),"icon-anchor":new Hi(Ft.layout_symbol["icon-anchor"]),"icon-pitch-alignment":new qi(Ft.layout_symbol["icon-pitch-alignment"]),"text-pitch-alignment":new qi(Ft.layout_symbol["text-pitch-alignment"]),"text-rotation-alignment":new qi(Ft.layout_symbol["text-rotation-alignment"]),"text-field":new Hi(Ft.layout_symbol["text-field"]),"text-font":new Hi(Ft.layout_symbol["text-font"]),"text-size":new Hi(Ft.layout_symbol["text-size"]),"text-max-width":new Hi(Ft.layout_symbol["text-max-width"]),"text-line-height":new qi(Ft.layout_symbol["text-line-height"]),"text-letter-spacing":new Hi(Ft.layout_symbol["text-letter-spacing"]),"text-justify":new Hi(Ft.layout_symbol["text-justify"]),"text-radial-offset":new Hi(Ft.layout_symbol["text-radial-offset"]),"text-variable-anchor":new qi(Ft.layout_symbol["text-variable-anchor"]),"text-anchor":new Hi(Ft.layout_symbol["text-anchor"]),"text-max-angle":new qi(Ft.layout_symbol["text-max-angle"]),"text-writing-mode":new qi(Ft.layout_symbol["text-writing-mode"]),"text-rotate":new Hi(Ft.layout_symbol["text-rotate"]),"text-padding":new qi(Ft.layout_symbol["text-padding"]),"text-keep-upright":new qi(Ft.layout_symbol["text-keep-upright"]),"text-transform":new Hi(Ft.layout_symbol["text-transform"]),"text-offset":new Hi(Ft.layout_symbol["text-offset"]),"text-allow-overlap":new qi(Ft.layout_symbol["text-allow-overlap"]),"text-ignore-placement":new qi(Ft.layout_symbol["text-ignore-placement"]),"text-optional":new qi(Ft.layout_symbol["text-optional"])}),dc={paint:new Xi({"icon-opacity":new Hi(Ft.paint_symbol["icon-opacity"]),"icon-color":new Hi(Ft.paint_symbol["icon-color"]),"icon-halo-color":new Hi(Ft.paint_symbol["icon-halo-color"]),"icon-halo-width":new Hi(Ft.paint_symbol["icon-halo-width"]),"icon-halo-blur":new Hi(Ft.paint_symbol["icon-halo-blur"]),"icon-translate":new qi(Ft.paint_symbol["icon-translate"]),"icon-translate-anchor":new qi(Ft.paint_symbol["icon-translate-anchor"]),"text-opacity":new Hi(Ft.paint_symbol["text-opacity"]),"text-color":new Hi(Ft.paint_symbol["text-color"],{runtimeType:Zt,getOverride:function(t){return t.textColor},hasOverride:function(t){return!!t.textColor}}),"text-halo-color":new Hi(Ft.paint_symbol["text-halo-color"]),"text-halo-width":new Hi(Ft.paint_symbol["text-halo-width"]),"text-halo-blur":new Hi(Ft.paint_symbol["text-halo-blur"]),"text-translate":new qi(Ft.paint_symbol["text-translate"]),"text-translate-anchor":new qi(Ft.paint_symbol["text-translate-anchor"])}),layout:pc},vc=function(t){this.type=t.property.overrides?t.property.overrides.runtimeType:Gt,this.defaultValue=t};vc.prototype.evaluate=function(t){if(t.formattedSection){var e=this.defaultValue.property.overrides;if(e&&e.hasOverride(t.formattedSection))return e.getOverride(t.formattedSection)}return t.feature&&t.featureState?this.defaultValue.evaluate(t.feature,t.featureState):this.defaultValue.property.specification.default},vc.prototype.eachChild=function(t){this.defaultValue.isConstant()||t(this.defaultValue.value._styleExpression.expression)},vc.prototype.outputDefined=function(){return!1},vc.prototype.serialize=function(){return null},oi("FormatSectionOverride",vc,{omit:["defaultValue"]});var gc=function(t){function e(e){t.call(this,e,dc)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.recalculate=function(e,r){if(t.prototype.recalculate.call(this,e,r),"auto"===this.layout.get("icon-rotation-alignment")&&("point"!==this.layout.get("symbol-placement")?this.layout._values["icon-rotation-alignment"]="map":this.layout._values["icon-rotation-alignment"]="viewport"),"auto"===this.layout.get("text-rotation-alignment")&&("point"!==this.layout.get("symbol-placement")?this.layout._values["text-rotation-alignment"]="map":this.layout._values["text-rotation-alignment"]="viewport"),"auto"===this.layout.get("text-pitch-alignment")&&(this.layout._values["text-pitch-alignment"]=this.layout.get("text-rotation-alignment")),"auto"===this.layout.get("icon-pitch-alignment")&&(this.layout._values["icon-pitch-alignment"]=this.layout.get("icon-rotation-alignment")),"point"===this.layout.get("symbol-placement")){var n=this.layout.get("text-writing-mode");if(n){for(var i=[],a=0,o=n;a",targetMapId:n,sourceMapId:a.mapId})}}},Cc.prototype.receive=function(t){var e=t.data,r=e.id;if(r&&(!e.targetMapId||this.mapId===e.targetMapId))if(""===e.type){delete this.tasks[r];var n=this.cancelCallbacks[r];delete this.cancelCallbacks[r],n&&n()}else S()||e.mustQueue?(this.tasks[r]=e,this.taskQueue.push(r),this.invoker.trigger()):this.processTask(r,e)},Cc.prototype.process=function(){if(this.taskQueue.length){var t=this.taskQueue.shift(),e=this.tasks[t];delete this.tasks[t],this.taskQueue.length&&this.invoker.trigger(),e&&this.processTask(t,e)}},Cc.prototype.processTask=function(t,e){var r=this;if(""===e.type){var n=this.callbacks[t];delete this.callbacks[t],n&&(e.error?n(fi(e.error)):n(null,fi(e.data)))}else{var i=!1,a=C(this.globalScope)?void 0:[],o=e.hasCallback?function(e,n){i=!0,delete r.cancelCallbacks[t],r.target.postMessage({id:t,type:"",sourceMapId:r.mapId,error:e?ci(e):null,data:ci(n,a)},a)}:function(t){i=!0},s=null,l=fi(e.data);if(this.parent[e.type])s=this.parent[e.type](e.sourceMapId,l,o);else if(this.parent.getWorkerSource){var u=e.type.split(".");s=this.parent.getWorkerSource(e.sourceMapId,u[0],l.source)[u[1]](l,o)}else o(new Error("Could not find function "+e.type));!i&&s&&s.cancel&&(this.cancelCallbacks[t]=s.cancel)}},Cc.prototype.remove=function(){this.invoker.remove(),this.target.removeEventListener("message",this.receive,!1)};var Oc=function(t,e){t&&(e?this.setSouthWest(t).setNorthEast(e):4===t.length?this.setSouthWest([t[0],t[1]]).setNorthEast([t[2],t[3]]):this.setSouthWest(t[0]).setNorthEast(t[1]))};Oc.prototype.setNorthEast=function(t){return this._ne=t instanceof Dc?new Dc(t.lng,t.lat):Dc.convert(t),this},Oc.prototype.setSouthWest=function(t){return this._sw=t instanceof Dc?new Dc(t.lng,t.lat):Dc.convert(t),this},Oc.prototype.extend=function(t){var e,r,n=this._sw,i=this._ne;if(t instanceof Dc)e=t,r=t;else{if(!(t instanceof Oc)){if(Array.isArray(t)){if(4===t.length||t.every(Array.isArray)){var a=t;return this.extend(Oc.convert(a))}var o=t;return this.extend(Dc.convert(o))}return this}if(e=t._sw,r=t._ne,!e||!r)return this}return n||i?(n.lng=Math.min(e.lng,n.lng),n.lat=Math.min(e.lat,n.lat),i.lng=Math.max(r.lng,i.lng),i.lat=Math.max(r.lat,i.lat)):(this._sw=new Dc(e.lng,e.lat),this._ne=new Dc(r.lng,r.lat)),this},Oc.prototype.getCenter=function(){return new Dc((this._sw.lng+this._ne.lng)/2,(this._sw.lat+this._ne.lat)/2)},Oc.prototype.getSouthWest=function(){return this._sw},Oc.prototype.getNorthEast=function(){return this._ne},Oc.prototype.getNorthWest=function(){return new Dc(this.getWest(),this.getNorth())},Oc.prototype.getSouthEast=function(){return new Dc(this.getEast(),this.getSouth())},Oc.prototype.getWest=function(){return this._sw.lng},Oc.prototype.getSouth=function(){return this._sw.lat},Oc.prototype.getEast=function(){return this._ne.lng},Oc.prototype.getNorth=function(){return this._ne.lat},Oc.prototype.toArray=function(){return[this._sw.toArray(),this._ne.toArray()]},Oc.prototype.toString=function(){return"LngLatBounds("+this._sw.toString()+", "+this._ne.toString()+")"},Oc.prototype.isEmpty=function(){return!(this._sw&&this._ne)},Oc.prototype.contains=function(t){var e=Dc.convert(t),r=e.lng,n=e.lat,i=this._sw.lat<=n&&n<=this._ne.lat,a=this._sw.lng<=r&&r<=this._ne.lng;return this._sw.lng>this._ne.lng&&(a=this._sw.lng>=r&&r>=this._ne.lng),i&&a},Oc.convert=function(t){return!t||t instanceof Oc?t:new Oc(t)};var Ic=6371008.8,Dc=function(t,e){if(isNaN(t)||isNaN(e))throw new Error("Invalid LngLat object: ("+t+", "+e+")");if(this.lng=+t,this.lat=+e,this.lat>90||this.lat<-90)throw new Error("Invalid LngLat latitude value: must be between -90 and 90")};Dc.prototype.wrap=function(){return new Dc(h(this.lng,-180,180),this.lat)},Dc.prototype.toArray=function(){return[this.lng,this.lat]},Dc.prototype.toString=function(){return"LngLat("+this.lng+", "+this.lat+")"},Dc.prototype.distanceTo=function(t){var e=Math.PI/180,r=this.lat*e,n=t.lat*e,i=Math.sin(r)*Math.sin(n)+Math.cos(r)*Math.cos(n)*Math.cos((t.lng-this.lng)*e);return Ic*Math.acos(Math.min(i,1))},Dc.prototype.toBounds=function(t){void 0===t&&(t=0);var e=360*t/40075017,r=e/Math.cos(Math.PI/180*this.lat);return new Oc(new Dc(this.lng-r,this.lat-e),new Dc(this.lng+r,this.lat+e))},Dc.convert=function(t){if(t instanceof Dc)return t;if(Array.isArray(t)&&(2===t.length||3===t.length))return new Dc(Number(t[0]),Number(t[1]));if(!Array.isArray(t)&&"object"==typeof t&&null!==t)return new Dc(Number("lng"in t?t.lng:t.lon),Number(t.lat));throw new Error("`LngLatLike` argument must be specified as a LngLat instance, an object {lng: , lat: }, an object {lon: , lat: }, or an array of [, ]")};var zc=2*Math.PI*Ic;function Rc(t){return zc*Math.cos(t*Math.PI/180)}function Fc(t){return(180+t)/360}function Bc(t){return(180-180/Math.PI*Math.log(Math.tan(Math.PI/4+t*Math.PI/360)))/360}function Nc(t,e){return t/Rc(e)}function jc(t){var e=180-360*t;return 360/Math.PI*Math.atan(Math.exp(e*Math.PI/180))-90}var Uc=function(t,e,r){void 0===r&&(r=0),this.x=+t,this.y=+e,this.z=+r};Uc.fromLngLat=function(t,e){void 0===e&&(e=0);var r=Dc.convert(t);return new Uc(Fc(r.lng),Bc(r.lat),Nc(e,r.lat))},Uc.prototype.toLngLat=function(){return new Dc(360*this.x-180,jc(this.y))},Uc.prototype.toAltitude=function(){return t=this.z,e=this.y,t*Rc(jc(e));var t,e},Uc.prototype.meterInMercatorCoordinateUnits=function(){return 1/zc*(t=jc(this.y),1/Math.cos(t*Math.PI/180));var t};var Vc=function(t,e,r){this.z=t,this.x=e,this.y=r,this.key=Gc(0,t,t,e,r)};Vc.prototype.equals=function(t){return this.z===t.z&&this.x===t.x&&this.y===t.y},Vc.prototype.url=function(t,e){var r,n,i,a,o,s=(r=this.x,n=this.y,i=this.z,a=Pc(256*r,256*(n=Math.pow(2,i)-n-1),i),o=Pc(256*(r+1),256*(n+1),i),a[0]+","+a[1]+","+o[0]+","+o[1]),l=function(t,e,r){for(var n,i="",a=t;a>0;a--)i+=(e&(n=1<this.canonical.z?new Hc(t,this.wrap,this.canonical.z,this.canonical.x,this.canonical.y):new Hc(t,this.wrap,t,this.canonical.x>>e,this.canonical.y>>e)},Hc.prototype.calculateScaledKey=function(t,e){var r=this.canonical.z-t;return t>this.canonical.z?Gc(this.wrap*+e,t,this.canonical.z,this.canonical.x,this.canonical.y):Gc(this.wrap*+e,t,t,this.canonical.x>>r,this.canonical.y>>r)},Hc.prototype.isChildOf=function(t){if(t.wrap!==this.wrap)return!1;var e=this.canonical.z-t.canonical.z;return 0===t.overscaledZ||t.overscaledZ>e&&t.canonical.y===this.canonical.y>>e},Hc.prototype.children=function(t){if(this.overscaledZ>=t)return[new Hc(this.overscaledZ+1,this.wrap,this.canonical.z,this.canonical.x,this.canonical.y)];var e=this.canonical.z+1,r=2*this.canonical.x,n=2*this.canonical.y;return[new Hc(e,this.wrap,e,r,n),new Hc(e,this.wrap,e,r+1,n),new Hc(e,this.wrap,e,r,n+1),new Hc(e,this.wrap,e,r+1,n+1)]},Hc.prototype.isLessThan=function(t){return this.wrapt.wrap)&&(this.overscaledZt.overscaledZ)&&(this.canonical.xt.canonical.x)&&this.canonical.y=this.dim+1||e<-1||e>=this.dim+1)throw new RangeError("out of range source coordinates for DEM data");return(e+1)*this.stride+(t+1)},Wc.prototype._unpackMapbox=function(t,e,r){return(256*t*256+256*e+r)/10-1e4},Wc.prototype._unpackTerrarium=function(t,e,r){return 256*t+e+r/256-32768},Wc.prototype.getPixels=function(){return new $o({width:this.stride,height:this.stride},new Uint8Array(this.data.buffer))},Wc.prototype.backfillBorder=function(t,e,r){if(this.dim!==t.dim)throw new Error("dem dimension mismatch");var n=e*this.dim,i=e*this.dim+this.dim,a=r*this.dim,o=r*this.dim+this.dim;switch(e){case-1:n=i-1;break;case 1:i=n+1}switch(r){case-1:a=o-1;break;case 1:o=a+1}for(var s=-e*this.dim,l=-r*this.dim,u=a;u=0&&c[3]>=0&&s.insert(o,c[0],c[1],c[2],c[3])}},Jc.prototype.loadVTLayers=function(){return this.vtLayers||(this.vtLayers=new tl.VectorTile(new Ol(this.rawTileData)).layers,this.sourceLayerCoder=new Yc(this.vtLayers?Object.keys(this.vtLayers).sort():["_geojsonTileLayer"])),this.vtLayers},Jc.prototype.query=function(t,e,r,n){var i=this;this.loadVTLayers();for(var o=t.params||{},s=po/t.tileSize/t.scale,l=An(o.filter),u=t.queryGeometry,c=t.queryPadding*s,f=Qc(u),h=this.grid.query(f.minX-c,f.minY-c,f.maxX+c,f.maxY+c),p=Qc(t.cameraQueryGeometry),d=0,v=this.grid3D.query(p.minX-c,p.minY-c,p.maxX+c,p.maxY+c,(function(e,r,n,i){return function(t,e,r,n,i){for(var o=0,s=t;o=l.x&&i>=l.y)return!0}var u=[new a(e,r),new a(e,i),new a(n,i),new a(n,r)];if(t.length>2)for(var c=0,f=u;c=0)return!0;return!1}(a,f)){var h=this.sourceLayerCoder.decode(r),d=this.vtLayers[h].feature(n);if(i.needGeometry){var v=mo(d,!0);if(!i.filter(new Di(this.tileID.overscaledZ),v,this.tileID.canonical))return}else if(!i.filter(new Di(this.tileID.overscaledZ),d))return;for(var g=this.getId(d,h),y=0;yn)i=!1;else if(e)if(this.expirationTimeht&&(t.getActor().send("enforceCacheSizeLimit",ft),xt=0)},t.clamp=f,t.clearTileCache=function(t){var e=s.caches.delete(ct);t&&e.catch(t).then((function(){return t()}))},t.clipLine=Fu,t.clone=function(t){var e=new Fo(16);return e[0]=t[0],e[1]=t[1],e[2]=t[2],e[3]=t[3],e[4]=t[4],e[5]=t[5],e[6]=t[6],e[7]=t[7],e[8]=t[8],e[9]=t[9],e[10]=t[10],e[11]=t[11],e[12]=t[12],e[13]=t[13],e[14]=t[14],e[15]=t[15],e},t.clone$1=w,t.clone$2=function(t){var e=new Fo(3);return e[0]=t[0],e[1]=t[1],e[2]=t[2],e},t.collisionCircleLayout=Ml,t.config=j,t.create=function(){var t=new Fo(16);return Fo!=Float32Array&&(t[1]=0,t[2]=0,t[3]=0,t[4]=0,t[6]=0,t[7]=0,t[8]=0,t[9]=0,t[11]=0,t[12]=0,t[13]=0,t[14]=0),t[0]=1,t[5]=1,t[10]=1,t[15]=1,t},t.create$1=function(){var t=new Fo(9);return Fo!=Float32Array&&(t[1]=0,t[2]=0,t[3]=0,t[5]=0,t[6]=0,t[7]=0),t[0]=1,t[4]=1,t[8]=1,t},t.create$2=function(){var t=new Fo(4);return Fo!=Float32Array&&(t[1]=0,t[2]=0),t[0]=1,t[3]=1,t},t.createCommonjsModule=e,t.createExpression=fn,t.createLayout=ta,t.createStyleLayer=function(t){return"custom"===t.type?new _c(t):new wc[t.type](t)},t.cross=function(t,e,r){var n=e[0],i=e[1],a=e[2],o=r[0],s=r[1],l=r[2];return t[0]=i*l-a*s,t[1]=a*o-n*l,t[2]=n*s-i*o,t},t.deepEqual=function t(e,r){if(Array.isArray(e)){if(!Array.isArray(r)||e.length!==r.length)return!1;for(var n=0;n0&&(a=1/Math.sqrt(a)),t[0]=e[0]*a,t[1]=e[1]*a,t[2]=e[2]*a,t},t.number=er,t.offscreenCanvasSupported=bt,t.ortho=function(t,e,r,n,i,a,o){var s=1/(e-r),l=1/(n-i),u=1/(a-o);return t[0]=-2*s,t[1]=0,t[2]=0,t[3]=0,t[4]=0,t[5]=-2*l,t[6]=0,t[7]=0,t[8]=0,t[9]=0,t[10]=2*u,t[11]=0,t[12]=(e+r)*s,t[13]=(i+n)*l,t[14]=(o+a)*u,t[15]=1,t},t.parseGlyphPBF=function(t){return new Ol(t).readFields(Ql,[])},t.pbf=Ol,t.performSymbolLayout=function(t,e,r,n,i,a,o){t.createArrays();var s=512*t.overscaling;t.tilePixelRatio=po/s,t.compareText={},t.iconsNeedLinear=!1;var l=t.layers[0].layout,u=t.layers[0]._unevaluatedLayout._values,c={};if("composite"===t.textSizeData.kind){var f=t.textSizeData,h=f.minZoom,p=f.maxZoom;c.compositeTextSizes=[u["text-size"].possiblyEvaluate(new Di(h),o),u["text-size"].possiblyEvaluate(new Di(p),o)]}if("composite"===t.iconSizeData.kind){var d=t.iconSizeData,v=d.minZoom,g=d.maxZoom;c.compositeIconSizes=[u["icon-size"].possiblyEvaluate(new Di(v),o),u["icon-size"].possiblyEvaluate(new Di(g),o)]}c.layoutTextSize=u["text-size"].possiblyEvaluate(new Di(t.zoom+1),o),c.layoutIconSize=u["icon-size"].possiblyEvaluate(new Di(t.zoom+1),o),c.textMaxSize=u["text-size"].possiblyEvaluate(new Di(18));for(var y=l.get("text-line-height")*Ll,m="map"===l.get("text-rotation-alignment")&&"point"!==l.get("symbol-placement"),x=l.get("text-keep-upright"),b=l.get("text-size"),_=function(){var a=T[w],s=l.get("text-font").evaluate(a,{},o).join(","),u=b.evaluate(a,{},o),f=c.layoutTextSize.evaluate(a,{},o),h=c.layoutIconSize.evaluate(a,{},o),p={horizontal:{},vertical:void 0},d=a.text,v=[0,0];if(d){var g=d.toString(),_=l.get("text-letter-spacing").evaluate(a,{},o)*Ll,A=function(t){for(var e=0,r=t;e=po||f.y<0||f.y>=po||function(t,e,r,n,i,a,o,s,l,u,c,f,h,p,d,v,g,y,m,x,b,_,w,T,A){var M,S,E,L,C,P=t.addToLineVertexArray(e,r),O=0,I=0,D=0,z=0,R=-1,F=-1,B={},N=ja(""),j=0,U=0;if(void 0===s._unevaluatedLayout.getValue("text-radial-offset")?(j=(M=s.layout.get("text-offset").evaluate(b,{},T).map((function(t){return t*Ll})))[0],U=M[1]):(j=s.layout.get("text-radial-offset").evaluate(b,{},T)*Ll,U=Ju),t.allowVerticalPlacement&&n.vertical){var V=s.layout.get("text-rotate").evaluate(b,{},T)+90,q=n.vertical;L=new Hu(l,e,u,c,f,q,h,p,d,V),o&&(C=new Hu(l,e,u,c,f,o,g,y,d,V))}if(i){var H=s.layout.get("icon-rotate").evaluate(b,{}),G="none"!==s.layout.get("icon-text-fit"),W=Nu(i,H,w,G),Y=o?Nu(o,H,w,G):void 0;E=new Hu(l,e,u,c,f,i,g,y,!1,H),O=4*W.length;var X=t.iconSizeData,Z=null;"source"===X.kind?(Z=[Au*s.layout.get("icon-size").evaluate(b,{})])[0]>ec&&k(t.layerIds[0]+': Value for "icon-size" is >= '+tc+'. Reduce your "icon-size".'):"composite"===X.kind&&((Z=[Au*_.compositeIconSizes[0].evaluate(b,{},T),Au*_.compositeIconSizes[1].evaluate(b,{},T)])[0]>ec||Z[1]>ec)&&k(t.layerIds[0]+': Value for "icon-size" is >= '+tc+'. Reduce your "icon-size".'),t.addSymbols(t.icon,W,Z,x,m,b,!1,e,P.lineStartIndex,P.lineLength,-1,T),R=t.icon.placedSymbolArray.length-1,Y&&(I=4*Y.length,t.addSymbols(t.icon,Y,Z,x,m,b,lu.vertical,e,P.lineStartIndex,P.lineLength,-1,T),F=t.icon.placedSymbolArray.length-1)}for(var K in n.horizontal){var J=n.horizontal[K];if(!S){N=ja(J.text);var $=s.layout.get("text-rotate").evaluate(b,{},T);S=new Hu(l,e,u,c,f,J,h,p,d,$)}var Q=1===J.positionedLines.length;if(D+=rc(t,e,J,a,s,d,b,v,P,n.vertical?lu.horizontal:lu.horizontalOnly,Q?Object.keys(n.horizontal):[K],B,R,_,T),Q)break}n.vertical&&(z+=rc(t,e,n.vertical,a,s,d,b,v,P,lu.vertical,["vertical"],B,F,_,T));var tt=S?S.boxStartIndex:t.collisionBoxArray.length,et=S?S.boxEndIndex:t.collisionBoxArray.length,rt=L?L.boxStartIndex:t.collisionBoxArray.length,nt=L?L.boxEndIndex:t.collisionBoxArray.length,it=E?E.boxStartIndex:t.collisionBoxArray.length,at=E?E.boxEndIndex:t.collisionBoxArray.length,ot=C?C.boxStartIndex:t.collisionBoxArray.length,st=C?C.boxEndIndex:t.collisionBoxArray.length,lt=-1,ut=function(t,e){return t&&t.circleDiameter?Math.max(t.circleDiameter,e):e};lt=ut(S,lt),lt=ut(L,lt),lt=ut(E,lt);var ct=(lt=ut(C,lt))>-1?1:0;ct&&(lt*=A/Ll),t.glyphOffsetArray.length>=hc.MAX_GLYPHS&&k("Too many glyphs being rendered in a tile. See https://github.com/mapbox/mapbox-gl-js/issues/2907"),void 0!==b.sortKey&&t.addToSortKeyRanges(t.symbolInstances.length,b.sortKey),t.symbolInstances.emplaceBack(e.x,e.y,B.right>=0?B.right:-1,B.center>=0?B.center:-1,B.left>=0?B.left:-1,B.vertical||-1,R,F,N,tt,et,rt,nt,it,at,ot,st,u,D,z,O,I,ct,0,h,j,U,lt)}(t,f,s,r,n,i,h,t.layers[0],t.collisionBoxArray,e.index,e.sourceLayerIndex,t.index,m,w,M,l,b,T,S,d,e,a,u,c,o)};if("line"===E)for(var O=0,I=Fu(e.geometry,0,0,po,po);O1){var U=Du(j,A,r.vertical||v,n,g,x);U&&P(j,U)}}else if("Polygon"===e.type)for(var V=0,q=Fs(e.geometry,0);V=E.maxzoom||"none"!==E.visibility&&(o(S,this.zoom,n),(v[E.id]=E.createBucket({index:c.bucketLayerIDs.length,layers:S,zoom:this.zoom,pixelRatio:this.pixelRatio,overscaling:this.overscaling,collisionBoxArray:this.collisionBoxArray,sourceLayerIndex:b,sourceID:this.source})).populate(_,g,this.tileID.canonical),c.bucketLayerIDs.push(S.map((function(t){return t.id}))))}}}var L=t.mapObject(g.glyphDependencies,(function(t){return Object.keys(t).map(Number)}));Object.keys(L).length?a.send("getGlyphs",{uid:this.uid,stacks:L},(function(t,e){f||(f=t,h=e,O.call(l))})):h={};var C=Object.keys(g.iconDependencies);C.length?a.send("getImages",{icons:C,source:this.source,tileID:this.tileID,type:"icons"},(function(t,e){f||(f=t,p=e,O.call(l))})):p={};var P=Object.keys(g.patternDependencies);function O(){if(f)return s(f);if(h&&p&&d){var e=new i(h),r=new t.ImageAtlas(p,d);for(var a in v){var l=v[a];l instanceof t.SymbolBucket?(o(l.layers,this.zoom,n),t.performSymbolLayout(l,h,e.positions,p,r.iconPositions,this.showCollisionBoxes,this.tileID.canonical)):l.hasPattern&&(l instanceof t.LineBucket||l instanceof t.FillBucket||l instanceof t.FillExtrusionBucket)&&(o(l.layers,this.zoom,n),l.addFeatures(g,this.tileID.canonical,r.patternPositions))}this.status="done",s(null,{buckets:t.values(v).filter((function(t){return!t.isEmpty()})),featureIndex:c,collisionBoxArray:this.collisionBoxArray,glyphAtlasImage:e.image,imageAtlas:r,glyphMap:this.returnDependencies?h:null,iconMap:this.returnDependencies?p:null,glyphPositions:this.returnDependencies?e.positions:null})}}P.length?a.send("getImages",{icons:P,source:this.source,tileID:this.tileID,type:"patterns"},(function(t,e){f||(f=t,d=e,O.call(l))})):d={},O.call(this)};var l=function(t,e,r,n){this.actor=t,this.layerIndex=e,this.availableImages=r,this.loadVectorData=n||s,this.loading={},this.loaded={}};l.prototype.loadTile=function(e,r){var n=this,i=e.uid;this.loading||(this.loading={});var o=!!(e&&e.request&&e.request.collectResourceTiming)&&new t.RequestPerformance(e.request),s=this.loading[i]=new a(e);s.abort=this.loadVectorData(e,(function(e,a){if(delete n.loading[i],e||!a)return s.status="done",n.loaded[i]=s,r(e);var l=a.rawData,u={};a.expires&&(u.expires=a.expires),a.cacheControl&&(u.cacheControl=a.cacheControl);var c={};if(o){var f=o.finish();f&&(c.resourceTiming=JSON.parse(JSON.stringify(f)))}s.vectorTile=a.vectorTile,s.parse(a.vectorTile,n.layerIndex,n.availableImages,n.actor,(function(e,n){if(e||!n)return r(e);r(null,t.extend({rawTileData:l.slice(0)},n,u,c))})),n.loaded=n.loaded||{},n.loaded[i]=s}))},l.prototype.reloadTile=function(t,e){var r=this,n=this.loaded,i=t.uid,a=this;if(n&&n[i]){var o=n[i];o.showCollisionBoxes=t.showCollisionBoxes;var s=function(t,n){var i=o.reloadCallback;i&&(delete o.reloadCallback,o.parse(o.vectorTile,a.layerIndex,r.availableImages,a.actor,i)),e(t,n)};"parsing"===o.status?o.reloadCallback=s:"done"===o.status&&(o.vectorTile?o.parse(o.vectorTile,this.layerIndex,this.availableImages,this.actor,s):s())}},l.prototype.abortTile=function(t,e){var r=this.loading,n=t.uid;r&&r[n]&&r[n].abort&&(r[n].abort(),delete r[n]),e()},l.prototype.removeTile=function(t,e){var r=this.loaded,n=t.uid;r&&r[n]&&delete r[n],e()};var u=t.window.ImageBitmap,c=function(){this.loaded={}};c.prototype.loadTile=function(e,r){var n=e.uid,i=e.encoding,a=e.rawImageData,o=u&&a instanceof u?this.getImageData(a):a,s=new t.DEMData(n,o,i);this.loaded=this.loaded||{},this.loaded[n]=s,r(null,s)},c.prototype.getImageData=function(e){this.offscreenCanvas&&this.offscreenCanvasContext||(this.offscreenCanvas=new OffscreenCanvas(e.width,e.height),this.offscreenCanvasContext=this.offscreenCanvas.getContext("2d")),this.offscreenCanvas.width=e.width,this.offscreenCanvas.height=e.height,this.offscreenCanvasContext.drawImage(e,0,0,e.width,e.height);var r=this.offscreenCanvasContext.getImageData(-1,-1,e.width+2,e.height+2);return this.offscreenCanvasContext.clearRect(0,0,this.offscreenCanvas.width,this.offscreenCanvas.height),new t.RGBAImage({width:r.width,height:r.height},r.data)},c.prototype.removeTile=function(t){var e=this.loaded,r=t.uid;e&&e[r]&&delete e[r]};var f=function t(e,r){var n,i=e&&e.type;if("FeatureCollection"===i)for(n=0;n=0!=!!e&&t.reverse()}var d=t.vectorTile.VectorTileFeature.prototype.toGeoJSON,v=function(e){this._feature=e,this.extent=t.EXTENT,this.type=e.type,this.properties=e.tags,"id"in e&&!isNaN(e.id)&&(this.id=parseInt(e.id,10))};v.prototype.loadGeometry=function(){if(1===this._feature.type){for(var e=[],r=0,n=this._feature.geometry;r>31}function P(t,e){for(var r=t.loadGeometry(),n=t.type,i=0,a=0,o=r.length,s=0;s>1;D(t,e,o,n,i,a%2),I(t,e,r,n,o-1,a+1),I(t,e,r,o+1,i,a+1)}}function D(t,e,r,n,i,a){for(;i>n;){if(i-n>600){var o=i-n+1,s=r-n+1,l=Math.log(o),u=.5*Math.exp(2*l/3),c=.5*Math.sqrt(l*u*(o-u)/o)*(s-o/2<0?-1:1);D(t,e,r,Math.max(n,Math.floor(r-s*u/o+c)),Math.min(i,Math.floor(r+(o-s)*u/o+c)),a)}var f=e[2*r+a],h=n,p=i;for(z(t,e,n,r),e[2*i+a]>f&&z(t,e,n,i);hf;)p--}e[2*n+a]===f?z(t,e,n,p):z(t,e,++p,i),p<=r&&(n=p+1),r<=p&&(i=p-1)}}function z(t,e,r,n){R(t,r,n),R(e,2*r,2*n),R(e,2*r+1,2*n+1)}function R(t,e,r){var n=t[e];t[e]=t[r],t[r]=n}function F(t,e,r,n){var i=t-r,a=e-n;return i*i+a*a}_.fromVectorTileJs=w,_.fromGeojsonVt=T,_.GeoJSONWrapper=k;var B=function(t){return t[0]},N=function(t){return t[1]},j=function(t,e,r,n,i){void 0===e&&(e=B),void 0===r&&(r=N),void 0===n&&(n=64),void 0===i&&(i=Float64Array),this.nodeSize=n,this.points=t;for(var a=t.length<65536?Uint16Array:Uint32Array,o=this.ids=new a(t.length),s=this.coords=new i(2*t.length),l=0;l=r&&s<=i&&l>=n&&l<=a&&c.push(t[d]);else{var v=Math.floor((p+h)/2);s=e[2*v],l=e[2*v+1],s>=r&&s<=i&&l>=n&&l<=a&&c.push(t[v]);var g=(f+1)%2;(0===f?r<=s:n<=l)&&(u.push(p),u.push(v-1),u.push(g)),(0===f?i>=s:a>=l)&&(u.push(v+1),u.push(h),u.push(g))}}return c}(this.ids,this.coords,t,e,r,n,this.nodeSize)},j.prototype.within=function(t,e,r){return function(t,e,r,n,i,a){for(var o=[0,t.length-1,0],s=[],l=i*i;o.length;){var u=o.pop(),c=o.pop(),f=o.pop();if(c-f<=a)for(var h=f;h<=c;h++)F(e[2*h],e[2*h+1],r,n)<=l&&s.push(t[h]);else{var p=Math.floor((f+c)/2),d=e[2*p],v=e[2*p+1];F(d,v,r,n)<=l&&s.push(t[p]);var g=(u+1)%2;(0===u?r-i<=d:n-i<=v)&&(o.push(f),o.push(p-1),o.push(g)),(0===u?r+i>=d:n+i>=v)&&(o.push(p+1),o.push(c),o.push(g))}}return s}(this.ids,this.coords,t,e,r,this.nodeSize)};var U={minZoom:0,maxZoom:16,minPoints:2,radius:40,extent:512,nodeSize:64,log:!1,generateId:!1,reduce:null,map:function(t){return t}},V=function(t){this.options=Z(Object.create(U),t),this.trees=new Array(this.options.maxZoom+1)};function q(t,e,r,n,i){return{x:t,y:e,zoom:1/0,id:r,parentId:-1,numPoints:n,properties:i}}function H(t,e){var r=t.geometry.coordinates,n=r[0],i=r[1];return{x:Y(n),y:X(i),zoom:1/0,index:e,parentId:-1}}function G(t){return{type:"Feature",id:t.id,properties:W(t),geometry:{type:"Point",coordinates:[(n=t.x,360*(n-.5)),(e=t.y,r=(180-360*e)*Math.PI/180,360*Math.atan(Math.exp(r))/Math.PI-90)]}};var e,r,n}function W(t){var e=t.numPoints,r=e>=1e4?Math.round(e/1e3)+"k":e>=1e3?Math.round(e/100)/10+"k":e;return Z(Z({},t.properties),{cluster:!0,cluster_id:t.id,point_count:e,point_count_abbreviated:r})}function Y(t){return t/360+.5}function X(t){var e=Math.sin(t*Math.PI/180),r=.5-.25*Math.log((1+e)/(1-e))/Math.PI;return r<0?0:r>1?1:r}function Z(t,e){for(var r in e)t[r]=e[r];return t}function K(t){return t.x}function J(t){return t.y}function $(t,e,r,n){for(var i,a=n,o=r-e>>1,s=r-e,l=t[e],u=t[e+1],c=t[r],f=t[r+1],h=e+3;ha)i=h,a=p;else if(p===a){var d=Math.abs(h-o);dn&&(i-e>3&&$(t,e,i,n),t[i+2]=a,r-i>3&&$(t,i,r,n))}function Q(t,e,r,n,i,a){var o=i-r,s=a-n;if(0!==o||0!==s){var l=((t-r)*o+(e-n)*s)/(o*o+s*s);l>1?(r=i,n=a):l>0&&(r+=o*l,n+=s*l)}return(o=t-r)*o+(s=e-n)*s}function tt(t,e,r,n){var i={id:void 0===t?null:t,type:e,geometry:r,tags:n,minX:1/0,minY:1/0,maxX:-1/0,maxY:-1/0};return function(t){var e=t.geometry,r=t.type;if("Point"===r||"MultiPoint"===r||"LineString"===r)et(t,e);else if("Polygon"===r||"MultiLineString"===r)for(var n=0;n0&&(o+=n?(i*u-l*a)/2:Math.sqrt(Math.pow(l-i,2)+Math.pow(u-a,2))),i=l,a=u}var c=e.length-3;e[2]=1,$(e,0,c,r),e[c+2]=1,e.size=Math.abs(o),e.start=0,e.end=e.size}function at(t,e,r,n){for(var i=0;i1?1:r}function lt(t,e,r,n,i,a,o,s){if(n/=e,a>=(r/=e)&&o=n)return null;for(var l=[],u=0;u=r&&d=n)){var v=[];if("Point"===h||"MultiPoint"===h)ut(f,v,r,n,i);else if("LineString"===h)ct(f,v,r,n,i,!1,s.lineMetrics);else if("MultiLineString"===h)ht(f,v,r,n,i,!1);else if("Polygon"===h)ht(f,v,r,n,i,!0);else if("MultiPolygon"===h)for(var g=0;g=r&&o<=n&&(e.push(t[a]),e.push(t[a+1]),e.push(t[a+2]))}}function ct(t,e,r,n,i,a,o){for(var s,l,u=ft(t),c=0===i?dt:vt,f=t.start,h=0;hr&&(l=c(u,p,d,g,y,r),o&&(u.start=f+s*l)):m>n?x=r&&(l=c(u,p,d,g,y,r),b=!0),x>n&&m<=n&&(l=c(u,p,d,g,y,n),b=!0),!a&&b&&(o&&(u.end=f+s*l),e.push(u),u=ft(t)),o&&(f+=s)}var _=t.length-3;p=t[_],d=t[_+1],v=t[_+2],(m=0===i?p:d)>=r&&m<=n&&pt(u,p,d,v),_=u.length-3,a&&_>=3&&(u[_]!==u[0]||u[_+1]!==u[1])&&pt(u,u[0],u[1],u[2]),u.length&&e.push(u)}function ft(t){var e=[];return e.size=t.size,e.start=t.start,e.end=t.end,e}function ht(t,e,r,n,i,a){for(var o=0;oo.maxX&&(o.maxX=c),f>o.maxY&&(o.maxY=f)}return o}function _t(t,e,r,n){var i=e.geometry,a=e.type,o=[];if("Point"===a||"MultiPoint"===a)for(var s=0;s0&&e.size<(i?o:n))r.numPoints+=e.length/3;else{for(var s=[],l=0;lo)&&(r.numSimplified++,s.push(e[l]),s.push(e[l+1])),r.numPoints++;i&&function(t,e){for(var r=0,n=0,i=t.length,a=i-2;n0===e)for(n=0,i=t.length;n24)throw new Error("maxZoom should be in the 0-24 range");if(e.promoteId&&e.generateId)throw new Error("promoteId and generateId cannot be used together.");var n=function(t,e){var r=[];if("FeatureCollection"===t.type)for(var n=0;n=n;u--){var c=+Date.now();s=this._cluster(s,u),this.trees[u]=new j(s,K,J,a,Float32Array),r&&console.log("z%d: %d clusters in %dms",u,s.length,+Date.now()-c)}return r&&console.timeEnd("total time"),this},V.prototype.getClusters=function(t,e){var r=((t[0]+180)%360+360)%360-180,n=Math.max(-90,Math.min(90,t[1])),i=180===t[2]?180:((t[2]+180)%360+360)%360-180,a=Math.max(-90,Math.min(90,t[3]));if(t[2]-t[0]>=360)r=-180,i=180;else if(r>i){var o=this.getClusters([r,n,180,a],e),s=this.getClusters([-180,n,i,a],e);return o.concat(s)}for(var l=this.trees[this._limitZoom(e)],u=[],c=0,f=l.range(Y(r),X(a),Y(i),X(n));ce&&(d+=m.numPoints||1)}if(d>=s){for(var x=c.x*p,b=c.y*p,_=o&&p>1?this._map(c,!0):null,w=(u<<5)+(e+1)+this.points.length,T=0,k=h;T1)for(var E=0,L=h;E>5},V.prototype._getOriginZoom=function(t){return(t-this.points.length)%32},V.prototype._map=function(t,e){if(t.numPoints)return e?Z({},t.properties):t.properties;var r=this.points[t.index].properties,n=this.options.map(r);return e&&n===r?Z({},n):n},Tt.prototype.options={maxZoom:14,indexMaxZoom:5,indexMaxPoints:1e5,tolerance:3,extent:4096,buffer:64,lineMetrics:!1,promoteId:null,generateId:!1,debug:0},Tt.prototype.splitTile=function(t,e,r,n,i,a,o){for(var s=[t,e,r,n],l=this.options,u=l.debug;s.length;){n=s.pop(),r=s.pop(),e=s.pop(),t=s.pop();var c=1<1&&console.time("creation"),h=this.tiles[f]=bt(t,e,r,n,l),this.tileCoords.push({z:e,x:r,y:n}),u)){u>1&&(console.log("tile z%d-%d-%d (features: %d, points: %d, simplified: %d)",e,r,n,h.numFeatures,h.numPoints,h.numSimplified),console.timeEnd("creation"));var p="z"+e;this.stats[p]=(this.stats[p]||0)+1,this.total++}if(h.source=t,i){if(e===l.maxZoom||e===i)continue;var d=1<1&&console.time("clipping");var v,g,y,m,x,b,_=.5*l.buffer/l.extent,w=.5-_,T=.5+_,k=1+_;v=g=y=m=null,x=lt(t,c,r-_,r+T,0,h.minX,h.maxX,l),b=lt(t,c,r+w,r+k,0,h.minX,h.maxX,l),t=null,x&&(v=lt(x,c,n-_,n+T,1,h.minY,h.maxY,l),g=lt(x,c,n+w,n+k,1,h.minY,h.maxY,l),x=null),b&&(y=lt(b,c,n-_,n+T,1,h.minY,h.maxY,l),m=lt(b,c,n+w,n+k,1,h.minY,h.maxY,l),b=null),u>1&&console.timeEnd("clipping"),s.push(v||[],e+1,2*r,2*n),s.push(g||[],e+1,2*r,2*n+1),s.push(y||[],e+1,2*r+1,2*n),s.push(m||[],e+1,2*r+1,2*n+1)}}},Tt.prototype.getTile=function(t,e,r){var n=this.options,i=n.extent,a=n.debug;if(t<0||t>24)return null;var o=1<1&&console.log("drilling down to z%d-%d-%d",t,e,r);for(var l,u=t,c=e,f=r;!l&&u>0;)u--,c=Math.floor(c/2),f=Math.floor(f/2),l=this.tiles[kt(u,c,f)];return l&&l.source?(a>1&&console.log("found parent tile z%d-%d-%d",u,c,f),a>1&&console.time("drilling down"),this.splitTile(l.source,u,c,f,t,e,r),a>1&&console.timeEnd("drilling down"),this.tiles[s]?mt(this.tiles[s],i):null):null};var Mt=function(e){function r(t,r,n,i){e.call(this,t,r,n,At),i&&(this.loadGeoJSON=i)}return e&&(r.__proto__=e),r.prototype=Object.create(e&&e.prototype),r.prototype.constructor=r,r.prototype.loadData=function(t,e){this._pendingCallback&&this._pendingCallback(null,{abandoned:!0}),this._pendingCallback=e,this._pendingLoadDataParams=t,this._state&&"Idle"!==this._state?this._state="NeedsLoadData":(this._state="Coalescing",this._loadData())},r.prototype._loadData=function(){var e=this;if(this._pendingCallback&&this._pendingLoadDataParams){var r=this._pendingCallback,n=this._pendingLoadDataParams;delete this._pendingCallback,delete this._pendingLoadDataParams;var i=!!(n&&n.request&&n.request.collectResourceTiming)&&new t.RequestPerformance(n.request);this.loadGeoJSON(n,(function(a,o){if(a||!o)return r(a);if("object"!=typeof o)return r(new Error("Input data given to '"+n.source+"' is not a valid GeoJSON object."));f(o,!0);try{if(n.filter){var s=t.createExpression(n.filter,{type:"boolean","property-type":"data-driven",overridable:!1,transition:!1});if("error"===s.result)throw new Error(s.value.map((function(t){return t.key+": "+t.message})).join(", "));var l=o.features.filter((function(t){return s.value.evaluate({zoom:0},t)}));o={type:"FeatureCollection",features:l}}e._geoJSONIndex=n.cluster?new V(function(e){var r=e.superclusterOptions,n=e.clusterProperties;if(!n||!r)return r;for(var i={},a={},o={accumulated:null,zoom:0},s={properties:null},l=Object.keys(n),u=0,c=l;u=0?0:e.button},r.remove=function(t){t.parentNode&&t.parentNode.removeChild(t)};var h=function(e){function r(){e.call(this),this.images={},this.updatedImages={},this.callbackDispatchedThisFrame={},this.loaded=!1,this.requestors=[],this.patterns={},this.atlasImage=new t.RGBAImage({width:1,height:1}),this.dirty=!0}return e&&(r.__proto__=e),r.prototype=Object.create(e&&e.prototype),r.prototype.constructor=r,r.prototype.isLoaded=function(){return this.loaded},r.prototype.setLoaded=function(t){if(this.loaded!==t&&(this.loaded=t,t)){for(var e=0,r=this.requestors;e=0?1.2:1))}function y(t,e,r,n,i,a,o){for(var s=0;s65535)e(new Error("glyphs > 65535 not supported"));else if(a.ranges[s])e(null,{stack:r,id:i,glyph:o});else{var l=a.requests[s];l||(l=a.requests[s]=[],x.loadGlyphRange(r,s,n.url,n.requestManager,(function(t,e){if(e){for(var r in e)n._doesCharSupportLocalGlyph(+r)||(a.glyphs[+r]=e[+r]);a.ranges[s]=!0}for(var i=0,o=l;i1&&(l=t[++s]);var c=Math.abs(u-l.left),f=Math.abs(u-l.right),h=Math.min(c,f),p=void 0,d=i/r*(n+1);if(l.isDash){var v=n-Math.abs(d);p=Math.sqrt(h*h+v*v)}else p=n-Math.sqrt(h*h+d*d);this.data[o+u]=Math.max(0,Math.min(255,p+128))}},k.prototype.addRegularDash=function(t){for(var e=t.length-1;e>=0;--e){var r=t[e],n=t[e+1];r.zeroLength?t.splice(e,1):n&&n.isDash===r.isDash&&(n.left=r.left,t.splice(e,1))}var i=t[0],a=t[t.length-1];i.isDash===a.isDash&&(i.left=a.left-this.width,a.right=i.right+this.width);for(var o=this.width*this.nextRow,s=0,l=t[s],u=0;u1&&(l=t[++s]);var c=Math.abs(u-l.left),f=Math.abs(u-l.right),h=Math.min(c,f),p=l.isDash?h:-h;this.data[o+u]=Math.max(0,Math.min(255,p+128))}},k.prototype.addDash=function(e,r){var n=r?7:0,i=2*n+1;if(this.nextRow+i>this.height)return t.warnOnce("LineAtlas out of space"),null;for(var a=0,o=0;o=n&&e.x=i&&e.y0&&(l[new t.OverscaledTileID(e.overscaledZ,a,r.z,i,r.y-1).key]={backfilled:!1},l[new t.OverscaledTileID(e.overscaledZ,e.wrap,r.z,r.x,r.y-1).key]={backfilled:!1},l[new t.OverscaledTileID(e.overscaledZ,s,r.z,o,r.y-1).key]={backfilled:!1}),r.y+10&&(n.resourceTiming=e._resourceTiming,e._resourceTiming=[]),e.fire(new t.Event("data",n))}}))},r.prototype.onAdd=function(t){this.map=t,this.load()},r.prototype.setData=function(e){var r=this;return this._data=e,this.fire(new t.Event("dataloading",{dataType:"source"})),this._updateWorkerData((function(e){if(e)r.fire(new t.ErrorEvent(e));else{var n={dataType:"source",sourceDataType:"content"};r._collectResourceTiming&&r._resourceTiming&&r._resourceTiming.length>0&&(n.resourceTiming=r._resourceTiming,r._resourceTiming=[]),r.fire(new t.Event("data",n))}})),this},r.prototype.getClusterExpansionZoom=function(t,e){return this.actor.send("geojson.getClusterExpansionZoom",{clusterId:t,source:this.id},e),this},r.prototype.getClusterChildren=function(t,e){return this.actor.send("geojson.getClusterChildren",{clusterId:t,source:this.id},e),this},r.prototype.getClusterLeaves=function(t,e,r,n){return this.actor.send("geojson.getClusterLeaves",{source:this.id,clusterId:t,limit:e,offset:r},n),this},r.prototype._updateWorkerData=function(e){var r=this;this._loaded=!1;var n=t.extend({},this.workerOptions),i=this._data;"string"==typeof i?(n.request=this.map._requestManager.transformRequest(t.browser.resolveURL(i),t.ResourceType.Source),n.request.collectResourceTiming=this._collectResourceTiming):n.data=JSON.stringify(i),this.actor.send(this.type+".loadData",n,(function(t,i){r._removed||i&&i.abandoned||(r._loaded=!0,i&&i.resourceTiming&&i.resourceTiming[r.id]&&(r._resourceTiming=i.resourceTiming[r.id].slice(0)),r.actor.send(r.type+".coalesce",{source:n.source},null),e(t))}))},r.prototype.loaded=function(){return this._loaded},r.prototype.loadTile=function(e,r){var n=this,i=e.actor?"reloadTile":"loadTile";e.actor=this.actor;var a={type:this.type,uid:e.uid,tileID:e.tileID,zoom:e.tileID.overscaledZ,maxZoom:this.maxzoom,tileSize:this.tileSize,source:this.id,pixelRatio:t.browser.devicePixelRatio,showCollisionBoxes:this.map.showCollisionBoxes,promoteId:this.promoteId};e.request=this.actor.send(i,a,(function(t,a){return delete e.request,e.unloadVectorData(),e.aborted?r(null):t?r(t):(e.loadVectorData(a,n.map.painter,"reloadTile"===i),r(null))}))},r.prototype.abortTile=function(t){t.request&&(t.request.cancel(),delete t.request),t.aborted=!0},r.prototype.unloadTile=function(t){t.unloadVectorData(),this.actor.send("removeTile",{uid:t.uid,type:this.type,source:this.id})},r.prototype.onRemove=function(){this._removed=!0,this.actor.send("removeSource",{type:this.type,source:this.id})},r.prototype.serialize=function(){return t.extend({},this._options,{type:this.type,data:this._data})},r.prototype.hasTransition=function(){return!1},r}(t.Evented),O=t.createLayout([{name:"a_pos",type:"Int16",components:2},{name:"a_texture_pos",type:"Int16",components:2}]),I=function(e){function r(t,r,n,i){e.call(this),this.id=t,this.dispatcher=n,this.coordinates=r.coordinates,this.type="image",this.minzoom=0,this.maxzoom=22,this.tileSize=512,this.tiles={},this._loaded=!1,this.setEventedParent(i),this.options=r}return e&&(r.__proto__=e),r.prototype=Object.create(e&&e.prototype),r.prototype.constructor=r,r.prototype.load=function(e,r){var n=this;this._loaded=!1,this.fire(new t.Event("dataloading",{dataType:"source"})),this.url=this.options.url,t.getImage(this.map._requestManager.transformRequest(this.url,t.ResourceType.Image),(function(i,a){n._loaded=!0,i?n.fire(new t.ErrorEvent(i)):a&&(n.image=a,e&&(n.coordinates=e),r&&r(),n._finishLoading())}))},r.prototype.loaded=function(){return this._loaded},r.prototype.updateImage=function(t){var e=this;return this.image&&t.url?(this.options.url=t.url,this.load(t.coordinates,(function(){e.texture=null})),this):this},r.prototype._finishLoading=function(){this.map&&(this.setCoordinates(this.coordinates),this.fire(new t.Event("data",{dataType:"source",sourceDataType:"metadata"})))},r.prototype.onAdd=function(t){this.map=t,this.load()},r.prototype.setCoordinates=function(e){var r=this;this.coordinates=e;var n=e.map(t.MercatorCoordinate.fromLngLat);this.tileID=function(e){for(var r=1/0,n=1/0,i=-1/0,a=-1/0,o=0,s=e;or.end(0)?this.fire(new t.ErrorEvent(new t.ValidationError("sources."+this.id,null,"Playback for this video can be set only between the "+r.start(0)+" and "+r.end(0)+"-second mark."))):this.video.currentTime=e}},r.prototype.getVideo=function(){return this.video},r.prototype.onAdd=function(t){this.map||(this.map=t,this.load(),this.video&&(this.video.play(),this.setCoordinates(this.coordinates)))},r.prototype.prepare=function(){if(!(0===Object.keys(this.tiles).length||this.video.readyState<2)){var e=this.map.painter.context,r=e.gl;for(var n in this.boundsBuffer||(this.boundsBuffer=e.createVertexBuffer(this._boundsArray,O.members)),this.boundsSegments||(this.boundsSegments=t.SegmentVector.simpleSegment(0,0,4,2)),this.texture?this.video.paused||(this.texture.bind(r.LINEAR,r.CLAMP_TO_EDGE),r.texSubImage2D(r.TEXTURE_2D,0,0,0,r.RGBA,r.UNSIGNED_BYTE,this.video)):(this.texture=new t.Texture(e,this.video,r.RGBA),this.texture.bind(r.LINEAR,r.CLAMP_TO_EDGE)),this.tiles){var i=this.tiles[n];"loaded"!==i.state&&(i.state="loaded",i.texture=this.texture)}}},r.prototype.serialize=function(){return{type:"video",urls:this.urls,coordinates:this.coordinates}},r.prototype.hasTransition=function(){return this.video&&!this.video.paused},r}(I),z=function(e){function r(r,n,i,a){e.call(this,r,n,i,a),n.coordinates?Array.isArray(n.coordinates)&&4===n.coordinates.length&&!n.coordinates.some((function(t){return!Array.isArray(t)||2!==t.length||t.some((function(t){return"number"!=typeof t}))}))||this.fire(new t.ErrorEvent(new t.ValidationError("sources."+r,null,'"coordinates" property must be an array of 4 longitude/latitude array pairs'))):this.fire(new t.ErrorEvent(new t.ValidationError("sources."+r,null,'missing required property "coordinates"'))),n.animate&&"boolean"!=typeof n.animate&&this.fire(new t.ErrorEvent(new t.ValidationError("sources."+r,null,'optional "animate" property must be a boolean value'))),n.canvas?"string"==typeof n.canvas||n.canvas instanceof t.window.HTMLCanvasElement||this.fire(new t.ErrorEvent(new t.ValidationError("sources."+r,null,'"canvas" must be either a string representing the ID of the canvas element from which to read, or an HTMLCanvasElement instance'))):this.fire(new t.ErrorEvent(new t.ValidationError("sources."+r,null,'missing required property "canvas"'))),this.options=n,this.animate=void 0===n.animate||n.animate}return e&&(r.__proto__=e),r.prototype=Object.create(e&&e.prototype),r.prototype.constructor=r,r.prototype.load=function(){this._loaded=!0,this.canvas||(this.canvas=this.options.canvas instanceof t.window.HTMLCanvasElement?this.options.canvas:t.window.document.getElementById(this.options.canvas)),this.width=this.canvas.width,this.height=this.canvas.height,this._hasInvalidDimensions()?this.fire(new t.ErrorEvent(new Error("Canvas dimensions cannot be less than or equal to zero."))):(this.play=function(){this._playing=!0,this.map.triggerRepaint()},this.pause=function(){this._playing&&(this.prepare(),this._playing=!1)},this._finishLoading())},r.prototype.getCanvas=function(){return this.canvas},r.prototype.onAdd=function(t){this.map=t,this.load(),this.canvas&&this.animate&&this.play()},r.prototype.onRemove=function(){this.pause()},r.prototype.prepare=function(){var e=!1;if(this.canvas.width!==this.width&&(this.width=this.canvas.width,e=!0),this.canvas.height!==this.height&&(this.height=this.canvas.height,e=!0),!this._hasInvalidDimensions()&&0!==Object.keys(this.tiles).length){var r=this.map.painter.context,n=r.gl;for(var i in this.boundsBuffer||(this.boundsBuffer=r.createVertexBuffer(this._boundsArray,O.members)),this.boundsSegments||(this.boundsSegments=t.SegmentVector.simpleSegment(0,0,4,2)),this.texture?(e||this._playing)&&this.texture.update(this.canvas,{premultiply:!0}):this.texture=new t.Texture(r,this.canvas,n.RGBA,{premultiply:!0}),this.tiles){var a=this.tiles[i];"loaded"!==a.state&&(a.state="loaded",a.texture=this.texture)}}},r.prototype.serialize=function(){return{type:"canvas",coordinates:this.coordinates}},r.prototype.hasTransition=function(){return this._playing},r.prototype._hasInvalidDimensions=function(){for(var t=0,e=[this.canvas.width,this.canvas.height];tthis.max){var o=this._getAndRemoveByKey(this.order[0]);o&&this.onRemove(o)}return this},j.prototype.has=function(t){return t.wrapped().key in this.data},j.prototype.getAndRemove=function(t){return this.has(t)?this._getAndRemoveByKey(t.wrapped().key):null},j.prototype._getAndRemoveByKey=function(t){var e=this.data[t].shift();return e.timeout&&clearTimeout(e.timeout),0===this.data[t].length&&delete this.data[t],this.order.splice(this.order.indexOf(t),1),e.value},j.prototype.getByKey=function(t){var e=this.data[t];return e?e[0].value:null},j.prototype.get=function(t){return this.has(t)?this.data[t.wrapped().key][0].value:null},j.prototype.remove=function(t,e){if(!this.has(t))return this;var r=t.wrapped().key,n=void 0===e?0:this.data[r].indexOf(e),i=this.data[r][n];return this.data[r].splice(n,1),i.timeout&&clearTimeout(i.timeout),0===this.data[r].length&&delete this.data[r],this.onRemove(i.value),this.order.splice(this.order.indexOf(r),1),this},j.prototype.setMaxSize=function(t){for(this.max=t;this.order.length>this.max;){var e=this._getAndRemoveByKey(this.order[0]);e&&this.onRemove(e)}return this},j.prototype.filter=function(t){var e=[];for(var r in this.data)for(var n=0,i=this.data[r];n1||(Math.abs(r)>1&&(1===Math.abs(r+i)?r+=i:1===Math.abs(r-i)&&(r-=i)),e.dem&&t.dem&&(t.dem.backfillBorder(e.dem,r,n),t.neighboringTiles&&t.neighboringTiles[a]&&(t.neighboringTiles[a].backfilled=!0)))}},r.prototype.getTile=function(t){return this.getTileByID(t.key)},r.prototype.getTileByID=function(t){return this._tiles[t]},r.prototype._retainLoadedChildren=function(t,e,r,n){for(var i in this._tiles){var a=this._tiles[i];if(!(n[i]||!a.hasData()||a.tileID.overscaledZ<=e||a.tileID.overscaledZ>r)){for(var o=a.tileID;a&&a.tileID.overscaledZ>e+1;){var s=a.tileID.scaledTo(a.tileID.overscaledZ-1);(a=this._tiles[s.key])&&a.hasData()&&(o=s)}for(var l=o;l.overscaledZ>e;)if(t[(l=l.scaledTo(l.overscaledZ-1)).key]){n[o.key]=o;break}}}},r.prototype.findLoadedParent=function(t,e){if(t.key in this._loadedParentTiles){var r=this._loadedParentTiles[t.key];return r&&r.tileID.overscaledZ>=e?r:null}for(var n=t.overscaledZ-1;n>=e;n--){var i=t.scaledTo(n),a=this._getLoadedTile(i);if(a)return a}},r.prototype._getLoadedTile=function(t){var e=this._tiles[t.key];return e&&e.hasData()?e:this._cache.getByKey(t.wrapped().key)},r.prototype.updateCacheSize=function(t){var e=(Math.ceil(t.width/this._source.tileSize)+1)*(Math.ceil(t.height/this._source.tileSize)+1),r=Math.floor(5*e),n="number"==typeof this._maxTileCacheSize?Math.min(this._maxTileCacheSize,r):r;this._cache.setMaxSize(n)},r.prototype.handleWrapJump=function(t){var e=(t-(void 0===this._prevLng?t:this._prevLng))/360,r=Math.round(e);if(this._prevLng=t,r){var n={};for(var i in this._tiles){var a=this._tiles[i];a.tileID=a.tileID.unwrapTo(a.tileID.wrap+r),n[a.tileID.key]=a}for(var o in this._tiles=n,this._timers)clearTimeout(this._timers[o]),delete this._timers[o];for(var s in this._tiles){var l=this._tiles[s];this._setTileReloadTimer(s,l)}}},r.prototype.update=function(e){var n=this;if(this.transform=e,this._sourceLoaded&&!this._paused){var i;this.updateCacheSize(e),this.handleWrapJump(this.transform.center.lng),this._coveredTiles={},this.used?this._source.tileID?i=e.getVisibleUnwrappedCoordinates(this._source.tileID).map((function(e){return new t.OverscaledTileID(e.canonical.z,e.wrap,e.canonical.z,e.canonical.x,e.canonical.y)})):(i=e.coveringTiles({tileSize:this._source.tileSize,minzoom:this._source.minzoom,maxzoom:this._source.maxzoom,roundZoom:this._source.roundZoom,reparseOverscaled:this._source.reparseOverscaled}),this._source.hasTile&&(i=i.filter((function(t){return n._source.hasTile(t)})))):i=[];var a=e.coveringZoomLevel(this._source),o=Math.max(a-r.maxOverzooming,this._source.minzoom),s=Math.max(a+r.maxUnderzooming,this._source.minzoom),l=this._updateRetainedTiles(i,a);if(Dt(this._source.type)){for(var u={},c={},f=0,h=Object.keys(l);fthis._source.maxzoom){var g=d.children(this._source.maxzoom)[0],y=this.getTile(g);if(y&&y.hasData()){n[g.key]=g;continue}}else{var m=d.children(this._source.maxzoom);if(n[m[0].key]&&n[m[1].key]&&n[m[2].key]&&n[m[3].key])continue}for(var x=v.wasRequested(),b=d.overscaledZ-1;b>=a;--b){var _=d.scaledTo(b);if(i[_.key])break;if(i[_.key]=!0,!(v=this.getTile(_))&&x&&(v=this._addTile(_)),v&&(n[_.key]=_,x=v.wasRequested(),v.hasData()))break}}}return n},r.prototype._updateLoadedParentTileCache=function(){for(var t in this._loadedParentTiles={},this._tiles){for(var e=[],r=void 0,n=this._tiles[t].tileID;n.overscaledZ>0;){if(n.key in this._loadedParentTiles){r=this._loadedParentTiles[n.key];break}e.push(n.key);var i=n.scaledTo(n.overscaledZ-1);if(r=this._getLoadedTile(i))break;n=i}for(var a=0,o=e;a0||(e.hasData()&&"reloading"!==e.state?this._cache.add(e.tileID,e,e.getExpiryTimeout()):(e.aborted=!0,this._abortTile(e),this._unloadTile(e))))},r.prototype.clearTiles=function(){for(var t in this._shouldReloadOnResume=!1,this._paused=!1,this._tiles)this._removeTile(t);this._cache.reset()},r.prototype.tilesIn=function(e,r,n){var i=this,a=[],o=this.transform;if(!o)return a;for(var s=n?o.getCameraQueryGeometry(e):e,l=e.map((function(t){return o.pointCoordinate(t)})),u=s.map((function(t){return o.pointCoordinate(t)})),c=this.getIds(),f=1/0,h=1/0,p=-1/0,d=-1/0,v=0,g=u;v=0&&y[1].y+g>=0){var m=l.map((function(t){return s.getTilePoint(t)})),x=u.map((function(t){return s.getTilePoint(t)}));a.push({tile:n,tileID:s,queryGeometry:m,cameraQueryGeometry:x,scale:v})}}},x=0;x=t.browser.now())return!0}return!1},r.prototype.setFeatureState=function(t,e,r){t=t||"_geojsonTileLayer",this._state.updateState(t,e,r)},r.prototype.removeFeatureState=function(t,e,r){t=t||"_geojsonTileLayer",this._state.removeFeatureState(t,e,r)},r.prototype.getFeatureState=function(t,e){return t=t||"_geojsonTileLayer",this._state.getState(t,e)},r.prototype.setDependencies=function(t,e,r){var n=this._tiles[t];n&&n.setDependencies(e,r)},r.prototype.reloadTilesForDependencies=function(t,e){for(var r in this._tiles)this._tiles[r].hasDependency(t,e)&&this._reloadTile(r,"reloading");this._cache.filter((function(r){return!r.hasDependency(t,e)}))},r}(t.Evented);function It(t,e){var r=Math.abs(2*t.wrap)-+(t.wrap<0),n=Math.abs(2*e.wrap)-+(e.wrap<0);return t.overscaledZ-e.overscaledZ||n-r||e.canonical.y-t.canonical.y||e.canonical.x-t.canonical.x}function Dt(t){return"raster"===t||"image"===t||"video"===t}function zt(){return new t.window.Worker(oa.workerUrl)}Ot.maxOverzooming=10,Ot.maxUnderzooming=3;var Rt="mapboxgl_preloaded_worker_pool",Ft=function(){this.active={}};Ft.prototype.acquire=function(t){if(!this.workers)for(this.workers=[];this.workers.length0?(i-o)/s:0;return this.points[a].mult(1-l).add(this.points[r].mult(l))};var Qt=function(t,e,r){var n=this.boxCells=[],i=this.circleCells=[];this.xCellCount=Math.ceil(t/r),this.yCellCount=Math.ceil(e/r);for(var a=0;a=-e[0]&&r<=e[0]&&n>=-e[1]&&n<=e[1]}function ae(e,r,n,i,a,o,s,l){var u=i?e.textSizeData:e.iconSizeData,c=t.evaluateSizeForZoom(u,n.transform.zoom),f=[256/n.width*2+1,256/n.height*2+1],h=i?e.text.dynamicLayoutVertexArray:e.icon.dynamicLayoutVertexArray;h.clear();for(var p=e.lineVertexArray,d=i?e.text.placedSymbolArray:e.icon.placedSymbolArray,v=n.transform.width/n.transform.height,g=!1,y=0;yMath.abs(n.x-r.x)*i?{useVertical:!0}:(e===t.WritingMode.vertical?r.yn.x)?{needsFlipping:!0}:null}function le(e,r,n,i,a,o,s,l,u,c,f,h,p,d){var v,g=r/24,y=e.lineOffsetX*g,m=e.lineOffsetY*g;if(e.numGlyphs>1){var x=e.glyphStartIndex+e.numGlyphs,b=e.lineStartIndex,_=e.lineStartIndex+e.lineLength,w=oe(g,l,y,m,n,f,h,e,u,o,p);if(!w)return{notEnoughRoom:!0};var T=re(w.first.point,s).point,k=re(w.last.point,s).point;if(i&&!n){var A=se(e.writingMode,T,k,d);if(A)return A}v=[w.first];for(var M=e.glyphStartIndex+1;M0?C.point:ue(h,L,S,1,a),O=se(e.writingMode,S,P,d);if(O)return O}var I=ce(g*l.getoffsetX(e.glyphStartIndex),y,m,n,f,h,e.segment,e.lineStartIndex,e.lineStartIndex+e.lineLength,u,o,p);if(!I)return{notEnoughRoom:!0};v=[I]}for(var D=0,z=v;D0?1:-1,v=0;i&&(d*=-1,v=Math.PI),d<0&&(v+=Math.PI);for(var g=d>0?l+s:l+s+1,y=a,m=a,x=0,b=0,_=Math.abs(p),w=[];x+b<=_;){if((g+=d)=u)return null;if(m=y,w.push(y),void 0===(y=h[g])){var T=new t.Point(c.getx(g),c.gety(g)),k=re(T,f);if(k.signedDistanceFromCamera>0)y=h[g]=k.point;else{var A=g-d;y=ue(0===x?o:new t.Point(c.getx(A),c.gety(A)),T,m,_-x+1,f)}}x+=b,b=m.dist(y)}var M=(_-x)/b,S=y.sub(m),E=S.mult(M)._add(m);E._add(S._unit()._perp()._mult(n*d));var L=v+Math.atan2(y.y-m.y,y.x-m.x);return w.push(E),{point:E,angle:L,path:w}}Qt.prototype.keysLength=function(){return this.boxKeys.length+this.circleKeys.length},Qt.prototype.insert=function(t,e,r,n,i){this._forEachCell(e,r,n,i,this._insertBoxCell,this.boxUid++),this.boxKeys.push(t),this.bboxes.push(e),this.bboxes.push(r),this.bboxes.push(n),this.bboxes.push(i)},Qt.prototype.insertCircle=function(t,e,r,n){this._forEachCell(e-n,r-n,e+n,r+n,this._insertCircleCell,this.circleUid++),this.circleKeys.push(t),this.circles.push(e),this.circles.push(r),this.circles.push(n)},Qt.prototype._insertBoxCell=function(t,e,r,n,i,a){this.boxCells[i].push(a)},Qt.prototype._insertCircleCell=function(t,e,r,n,i,a){this.circleCells[i].push(a)},Qt.prototype._query=function(t,e,r,n,i,a){if(r<0||t>this.width||n<0||e>this.height)return!i&&[];var o=[];if(t<=0&&e<=0&&this.width<=r&&this.height<=n){if(i)return!0;for(var s=0;s0:o},Qt.prototype._queryCircle=function(t,e,r,n,i){var a=t-r,o=t+r,s=e-r,l=e+r;if(o<0||a>this.width||l<0||s>this.height)return!n&&[];var u=[],c={hitTest:n,circle:{x:t,y:e,radius:r},seenUids:{box:{},circle:{}}};return this._forEachCell(a,s,o,l,this._queryCellCircle,u,c,i),n?u.length>0:u},Qt.prototype.query=function(t,e,r,n,i){return this._query(t,e,r,n,!1,i)},Qt.prototype.hitTest=function(t,e,r,n,i){return this._query(t,e,r,n,!0,i)},Qt.prototype.hitTestCircle=function(t,e,r,n){return this._queryCircle(t,e,r,!0,n)},Qt.prototype._queryCell=function(t,e,r,n,i,a,o,s){var l=o.seenUids,u=this.boxCells[i];if(null!==u)for(var c=this.bboxes,f=0,h=u;f=c[d+0]&&n>=c[d+1]&&(!s||s(this.boxKeys[p]))){if(o.hitTest)return a.push(!0),!0;a.push({key:this.boxKeys[p],x1:c[d],y1:c[d+1],x2:c[d+2],y2:c[d+3]})}}}var v=this.circleCells[i];if(null!==v)for(var g=this.circles,y=0,m=v;yo*o+s*s},Qt.prototype._circleAndRectCollide=function(t,e,r,n,i,a,o){var s=(a-n)/2,l=Math.abs(t-(n+s));if(l>s+r)return!1;var u=(o-i)/2,c=Math.abs(e-(i+u));if(c>u+r)return!1;if(l<=s||c<=u)return!0;var f=l-s,h=c-u;return f*f+h*h<=r*r};var fe=new Float32Array([-1/0,-1/0,0,-1/0,-1/0,0,-1/0,-1/0,0,-1/0,-1/0,0]);function he(t,e){for(var r=0;r=1;P--)C.push(E.path[P]);for(var O=1;O0){for(var R=C[0].clone(),F=C[0].clone(),B=1;B=A.x&&F.x<=M.x&&R.y>=A.y&&F.y<=M.y?[C]:F.xM.x||F.yM.y?[]:t.clipLine([C],A.x,A.y,M.x,M.y)}for(var N=0,j=z;N=this.screenRightBoundary||nthis.screenBottomBoundary},ve.prototype.isInsideGrid=function(t,e,r,n){return r>=0&&t=0&&e0?(this.prevPlacement&&this.prevPlacement.variableOffsets[f.crossTileID]&&this.prevPlacement.placements[f.crossTileID]&&this.prevPlacement.placements[f.crossTileID].text&&(v=this.prevPlacement.variableOffsets[f.crossTileID].anchor),this.variableOffsets[f.crossTileID]={textOffset:g,width:r,height:n,anchor:t,textBoxScale:i,prevAnchor:v},this.markUsedJustification(h,t,f,p),h.allowVerticalPlacement&&(this.markUsedOrientation(h,p,f),this.placedOrientations[f.crossTileID]=p),{shift:y,placedGlyphBoxes:m}):void 0},Ae.prototype.placeLayerBucketPart=function(e,r,n){var i=this,a=e.parameters,o=a.bucket,s=a.layout,l=a.posMatrix,u=a.textLabelPlaneMatrix,c=a.labelToScreenMatrix,f=a.textPixelRatio,h=a.holdingForFade,p=a.collisionBoxArray,d=a.partiallyEvaluatedTextSize,v=a.collisionGroup,g=s.get("text-optional"),y=s.get("icon-optional"),m=s.get("text-allow-overlap"),x=s.get("icon-allow-overlap"),b="map"===s.get("text-rotation-alignment"),_="map"===s.get("text-pitch-alignment"),w="none"!==s.get("icon-text-fit"),T="viewport-y"===s.get("symbol-z-order"),k=m&&(x||!o.hasIconData()||y),A=x&&(m||!o.hasTextData()||g);!o.collisionArrays&&p&&o.deserializeCollisionBoxes(p);var M=function(e,a){if(!r[e.crossTileID])if(h)i.placements[e.crossTileID]=new xe(!1,!1,!1);else{var p,T=!1,M=!1,S=!0,E=null,L={box:null,offscreen:null},C={box:null,offscreen:null},P=null,O=null,I=0,D=0,z=0;a.textFeatureIndex?I=a.textFeatureIndex:e.useRuntimeCollisionCircles&&(I=e.featureIndex),a.verticalTextFeatureIndex&&(D=a.verticalTextFeatureIndex);var R=a.textBox;if(R){var F=function(r){var n=t.WritingMode.horizontal;if(o.allowVerticalPlacement&&!r&&i.prevPlacement){var a=i.prevPlacement.placedOrientations[e.crossTileID];a&&(i.placedOrientations[e.crossTileID]=a,n=a,i.markUsedOrientation(o,n,e))}return n},B=function(r,n){if(o.allowVerticalPlacement&&e.numVerticalGlyphVertices>0&&a.verticalTextBox)for(var i=0,s=o.writingModes;i0&&(N=N.filter((function(t){return t!==j.anchor}))).unshift(j.anchor)}var U=function(t,r,n){for(var a=t.x2-t.x1,s=t.y2-t.y1,u=e.textBoxScale,c=w&&!x?r:null,h={box:[],offscreen:!1},p=m?2*N.length:N.length,d=0;d=N.length,k=i.attemptAnchorPlacement(g,t,a,s,u,b,_,f,l,v,y,e,o,n,c);if(k&&(h=k.placedGlyphBoxes)&&h.box&&h.box.length){T=!0,E=k.shift;break}}return h};B((function(){return U(R,a.iconBox,t.WritingMode.horizontal)}),(function(){var r=a.verticalTextBox,n=L&&L.box&&L.box.length;return o.allowVerticalPlacement&&!n&&e.numVerticalGlyphVertices>0&&r?U(r,a.verticalIconBox,t.WritingMode.vertical):{box:null,offscreen:null}})),L&&(T=L.box,S=L.offscreen);var V=F(L&&L.box);if(!T&&i.prevPlacement){var q=i.prevPlacement.variableOffsets[e.crossTileID];q&&(i.variableOffsets[e.crossTileID]=q,i.markUsedJustification(o,q.anchor,e,V))}}else{var H=function(t,r){var n=i.collisionIndex.placeCollisionBox(t,m,f,l,v.predicate);return n&&n.box&&n.box.length&&(i.markUsedOrientation(o,r,e),i.placedOrientations[e.crossTileID]=r),n};B((function(){return H(R,t.WritingMode.horizontal)}),(function(){var r=a.verticalTextBox;return o.allowVerticalPlacement&&e.numVerticalGlyphVertices>0&&r?H(r,t.WritingMode.vertical):{box:null,offscreen:null}})),F(L&&L.box&&L.box.length)}}if(T=(p=L)&&p.box&&p.box.length>0,S=p&&p.offscreen,e.useRuntimeCollisionCircles){var G=o.text.placedSymbolArray.get(e.centerJustifiedTextSymbolIndex),W=t.evaluateSizeForFeature(o.textSizeData,d,G),Y=s.get("text-padding"),X=e.collisionCircleDiameter;P=i.collisionIndex.placeCollisionCircles(m,G,o.lineVertexArray,o.glyphOffsetArray,W,l,u,c,n,_,v.predicate,X,Y),T=m||P.circles.length>0&&!P.collisionDetected,S=S&&P.offscreen}if(a.iconFeatureIndex&&(z=a.iconFeatureIndex),a.iconBox){var Z=function(t){var e=w&&E?ke(t,E.x,E.y,b,_,i.transform.angle):t;return i.collisionIndex.placeCollisionBox(e,x,f,l,v.predicate)};M=C&&C.box&&C.box.length&&a.verticalIconBox?(O=Z(a.verticalIconBox)).box.length>0:(O=Z(a.iconBox)).box.length>0,S=S&&O.offscreen}var K=g||0===e.numHorizontalGlyphVertices&&0===e.numVerticalGlyphVertices,J=y||0===e.numIconVertices;if(K||J?J?K||(M=M&&T):T=M&&T:M=T=M&&T,T&&p&&p.box&&(C&&C.box&&D?i.collisionIndex.insertCollisionBox(p.box,s.get("text-ignore-placement"),o.bucketInstanceId,D,v.ID):i.collisionIndex.insertCollisionBox(p.box,s.get("text-ignore-placement"),o.bucketInstanceId,I,v.ID)),M&&O&&i.collisionIndex.insertCollisionBox(O.box,s.get("icon-ignore-placement"),o.bucketInstanceId,z,v.ID),P&&(T&&i.collisionIndex.insertCollisionCircles(P.circles,s.get("text-ignore-placement"),o.bucketInstanceId,I,v.ID),n)){var $=o.bucketInstanceId,Q=i.collisionCircleArrays[$];void 0===Q&&(Q=i.collisionCircleArrays[$]=new be);for(var tt=0;tt=0;--E){var L=S[E];M(o.symbolInstances.get(L),o.collisionArrays[L])}else for(var C=e.symbolInstanceStart;C=0&&(e.text.placedSymbolArray.get(u).crossTileID=a>=0&&u!==a?0:n.crossTileID)}},Ae.prototype.markUsedOrientation=function(e,r,n){for(var i=r===t.WritingMode.horizontal||r===t.WritingMode.horizontalOnly?r:0,a=r===t.WritingMode.vertical?r:0,o=0,s=[n.leftJustifiedTextSymbolIndex,n.centerJustifiedTextSymbolIndex,n.rightJustifiedTextSymbolIndex];o0||l>0,x=a.numIconVertices>0,b=i.placedOrientations[a.crossTileID],_=b===t.WritingMode.vertical,w=b===t.WritingMode.horizontal||b===t.WritingMode.horizontalOnly;if(m){var T=De(y.text),k=_?ze:T;d(e.text,s,k);var A=w?ze:T;d(e.text,l,A);var M=y.text.isHidden();[a.rightJustifiedTextSymbolIndex,a.centerJustifiedTextSymbolIndex,a.leftJustifiedTextSymbolIndex].forEach((function(t){t>=0&&(e.text.placedSymbolArray.get(t).hidden=M||_?1:0)})),a.verticalPlacedTextSymbolIndex>=0&&(e.text.placedSymbolArray.get(a.verticalPlacedTextSymbolIndex).hidden=M||w?1:0);var S=i.variableOffsets[a.crossTileID];S&&i.markUsedJustification(e,S.anchor,a,b);var E=i.placedOrientations[a.crossTileID];E&&(i.markUsedJustification(e,"left",a,E),i.markUsedOrientation(e,E,a))}if(x){var L=De(y.icon),C=!(h&&a.verticalPlacedIconSymbolIndex&&_);if(a.placedIconSymbolIndex>=0){var P=C?L:ze;d(e.icon,a.numIconVertices,P),e.icon.placedSymbolArray.get(a.placedIconSymbolIndex).hidden=y.icon.isHidden()}if(a.verticalPlacedIconSymbolIndex>=0){var O=C?ze:L;d(e.icon,a.numVerticalIconVertices,O),e.icon.placedSymbolArray.get(a.verticalPlacedIconSymbolIndex).hidden=y.icon.isHidden()}}if(e.hasIconCollisionBoxData()||e.hasTextCollisionBoxData()){var I=e.collisionArrays[n];if(I){var D=new t.Point(0,0);if(I.textBox||I.verticalTextBox){var z=!0;if(u){var R=i.variableOffsets[v];R?(D=Te(R.anchor,R.width,R.height,R.textOffset,R.textBoxScale),c&&D._rotate(f?i.transform.angle:-i.transform.angle)):z=!1}I.textBox&&Me(e.textCollisionBox.collisionVertexArray,y.text.placed,!z||_,D.x,D.y),I.verticalTextBox&&Me(e.textCollisionBox.collisionVertexArray,y.text.placed,!z||w,D.x,D.y)}var F=Boolean(!w&&I.verticalIconBox);I.iconBox&&Me(e.iconCollisionBox.collisionVertexArray,y.icon.placed,F,h?D.x:0,h?D.y:0),I.verticalIconBox&&Me(e.iconCollisionBox.collisionVertexArray,y.icon.placed,!F,h?D.x:0,h?D.y:0)}}},g=0;gt},Ae.prototype.setStale=function(){this.stale=!0};var Se=Math.pow(2,25),Ee=Math.pow(2,24),Le=Math.pow(2,17),Ce=Math.pow(2,16),Pe=Math.pow(2,9),Oe=Math.pow(2,8),Ie=Math.pow(2,1);function De(t){if(0===t.opacity&&!t.placed)return 0;if(1===t.opacity&&t.placed)return 4294967295;var e=t.placed?1:0,r=Math.floor(127*t.opacity);return r*Se+e*Ee+r*Le+e*Ce+r*Pe+e*Oe+r*Ie+e}var ze=0,Re=function(t){this._sortAcrossTiles="viewport-y"!==t.layout.get("symbol-z-order")&&void 0!==t.layout.get("symbol-sort-key").constantOr(1),this._currentTileIndex=0,this._currentPartIndex=0,this._seenCrossTileIDs={},this._bucketParts=[]};Re.prototype.continuePlacement=function(t,e,r,n,i){for(var a=this._bucketParts;this._currentTileIndex2};this._currentPlacementIndex>=0;){var s=r[e[this._currentPlacementIndex]],l=this.placement.collisionIndex.transform.zoom;if("symbol"===s.type&&(!s.minzoom||s.minzoom<=l)&&(!s.maxzoom||s.maxzoom>l)){if(this._inProgressLayer||(this._inProgressLayer=new Re(s)),this._inProgressLayer.continuePlacement(n[s.source],this.placement,this._showCollisionBoxes,s,o))return;delete this._inProgressLayer}this._currentPlacementIndex--}this._done=!0},Fe.prototype.commit=function(t){return this.placement.commit(t),this.placement};var Be=512/t.EXTENT/2,Ne=function(t,e,r){this.tileID=t,this.indexedSymbolInstances={},this.bucketInstanceId=r;for(var n=0;nt.overscaledZ)for(var s in o){var l=o[s];l.tileID.isChildOf(t)&&l.findMatches(e.symbolInstances,t,i)}else{var u=o[t.scaledTo(Number(a)).key];u&&u.findMatches(e.symbolInstances,t,i)}}for(var c=0;c1?"@2x":"",l=t.getJSON(r.transformRequest(r.normalizeSpriteURL(e,s,".json"),t.ResourceType.SpriteJSON),(function(t,e){l=null,o||(o=t,i=e,c())})),u=t.getImage(r.transformRequest(r.normalizeSpriteURL(e,s,".png"),t.ResourceType.SpriteImage),(function(t,e){u=null,o||(o=t,a=e,c())}));function c(){if(o)n(o);else if(i&&a){var e=t.browser.getImageData(a),r={};for(var s in i){var l=i[s],u=l.width,c=l.height,f=l.x,h=l.y,p=l.sdf,d=l.pixelRatio,v=l.stretchX,g=l.stretchY,y=l.content,m=new t.RGBAImage({width:u,height:c});t.RGBAImage.copy(e,m,{x:f,y:h},{x:0,y:0},{width:u,height:c}),r[s]={data:m,pixelRatio:d,sdf:p,stretchX:v,stretchY:g,content:y}}n(null,r)}}return{cancel:function(){l&&(l.cancel(),l=null),u&&(u.cancel(),u=null)}}}(e,this.map._requestManager,(function(e,n){if(r._spriteRequest=null,e)r.fire(new t.ErrorEvent(e));else if(n)for(var i in n)r.imageManager.addImage(i,n[i]);r.imageManager.setLoaded(!0),r._availableImages=r.imageManager.listImages(),r.dispatcher.broadcast("setImages",r._availableImages),r.fire(new t.Event("data",{dataType:"style"}))}))},r.prototype._validateLayer=function(e){var r=this.sourceCaches[e.source];if(r){var n=e.sourceLayer;if(n){var i=r.getSource();("geojson"===i.type||i.vectorLayerIds&&-1===i.vectorLayerIds.indexOf(n))&&this.fire(new t.ErrorEvent(new Error('Source layer "'+n+'" does not exist on source "'+i.id+'" as specified by style layer "'+e.id+'"')))}}},r.prototype.loaded=function(){if(!this._loaded)return!1;if(Object.keys(this._updatedSources).length)return!1;for(var t in this.sourceCaches)if(!this.sourceCaches[t].loaded())return!1;return!!this.imageManager.isLoaded()},r.prototype._serializeLayers=function(t){for(var e=[],r=0,n=t;r0)throw new Error("Unimplemented: "+i.map((function(t){return t.command})).join(", ")+".");return n.forEach((function(t){"setTransition"!==t.command&&r[t.command].apply(r,t.args)})),this.stylesheet=e,!0},r.prototype.addImage=function(e,r){if(this.getImage(e))return this.fire(new t.ErrorEvent(new Error("An image with this name already exists.")));this.imageManager.addImage(e,r),this._afterImageUpdated(e)},r.prototype.updateImage=function(t,e){this.imageManager.updateImage(t,e)},r.prototype.getImage=function(t){return this.imageManager.getImage(t)},r.prototype.removeImage=function(e){if(!this.getImage(e))return this.fire(new t.ErrorEvent(new Error("No image with this name exists.")));this.imageManager.removeImage(e),this._afterImageUpdated(e)},r.prototype._afterImageUpdated=function(e){this._availableImages=this.imageManager.listImages(),this._changedImages[e]=!0,this._changed=!0,this.dispatcher.broadcast("setImages",this._availableImages),this.fire(new t.Event("data",{dataType:"style"}))},r.prototype.listImages=function(){return this._checkLoaded(),this.imageManager.listImages()},r.prototype.addSource=function(e,r,n){var i=this;if(void 0===n&&(n={}),this._checkLoaded(),void 0!==this.sourceCaches[e])throw new Error("There is already a source with this ID");if(!r.type)throw new Error("The type property must be defined, but only the following properties were given: "+Object.keys(r).join(", ")+".");if(!(["vector","raster","geojson","video","image"].indexOf(r.type)>=0&&this._validate(t.validateStyle.source,"sources."+e,r,null,n))){this.map&&this.map._collectResourceTiming&&(r.collectResourceTiming=!0);var a=this.sourceCaches[e]=new Ot(e,r,this.dispatcher);a.style=this,a.setEventedParent(this,(function(){return{isSourceLoaded:i.loaded(),source:a.serialize(),sourceId:e}})),a.onAdd(this.map),this._changed=!0}},r.prototype.removeSource=function(e){if(this._checkLoaded(),void 0===this.sourceCaches[e])throw new Error("There is no source with this ID");for(var r in this._layers)if(this._layers[r].source===e)return this.fire(new t.ErrorEvent(new Error('Source "'+e+'" cannot be removed while layer "'+r+'" is using it.')));var n=this.sourceCaches[e];delete this.sourceCaches[e],delete this._updatedSources[e],n.fire(new t.Event("data",{sourceDataType:"metadata",dataType:"source",sourceId:e})),n.setEventedParent(null),n.clearTiles(),n.onRemove&&n.onRemove(this.map),this._changed=!0},r.prototype.setGeoJSONSourceData=function(t,e){this._checkLoaded(),this.sourceCaches[t].getSource().setData(e),this._changed=!0},r.prototype.getSource=function(t){return this.sourceCaches[t]&&this.sourceCaches[t].getSource()},r.prototype.addLayer=function(e,r,n){void 0===n&&(n={}),this._checkLoaded();var i=e.id;if(this.getLayer(i))this.fire(new t.ErrorEvent(new Error('Layer with id "'+i+'" already exists on this map')));else{var a;if("custom"===e.type){if(qe(this,t.validateCustomStyleLayer(e)))return;a=t.createStyleLayer(e)}else{if("object"==typeof e.source&&(this.addSource(i,e.source),e=t.clone$1(e),e=t.extend(e,{source:i})),this._validate(t.validateStyle.layer,"layers."+i,e,{arrayIndex:-1},n))return;a=t.createStyleLayer(e),this._validateLayer(a),a.setEventedParent(this,{layer:{id:i}}),this._serializedLayers[a.id]=a.serialize()}var o=r?this._order.indexOf(r):this._order.length;if(r&&-1===o)this.fire(new t.ErrorEvent(new Error('Layer with id "'+r+'" does not exist on this map.')));else{if(this._order.splice(o,0,i),this._layerOrderChanged=!0,this._layers[i]=a,this._removedLayers[i]&&a.source&&"custom"!==a.type){var s=this._removedLayers[i];delete this._removedLayers[i],s.type!==a.type?this._updatedSources[a.source]="clear":(this._updatedSources[a.source]="reload",this.sourceCaches[a.source].pause())}this._updateLayer(a),a.onAdd&&a.onAdd(this.map)}}},r.prototype.moveLayer=function(e,r){if(this._checkLoaded(),this._changed=!0,this._layers[e]){if(e!==r){var n=this._order.indexOf(e);this._order.splice(n,1);var i=r?this._order.indexOf(r):this._order.length;r&&-1===i?this.fire(new t.ErrorEvent(new Error('Layer with id "'+r+'" does not exist on this map.'))):(this._order.splice(i,0,e),this._layerOrderChanged=!0)}}else this.fire(new t.ErrorEvent(new Error("The layer '"+e+"' does not exist in the map's style and cannot be moved.")))},r.prototype.removeLayer=function(e){this._checkLoaded();var r=this._layers[e];if(r){r.setEventedParent(null);var n=this._order.indexOf(e);this._order.splice(n,1),this._layerOrderChanged=!0,this._changed=!0,this._removedLayers[e]=r,delete this._layers[e],delete this._serializedLayers[e],delete this._updatedLayers[e],delete this._updatedPaintProps[e],r.onRemove&&r.onRemove(this.map)}else this.fire(new t.ErrorEvent(new Error("The layer '"+e+"' does not exist in the map's style and cannot be removed.")))},r.prototype.getLayer=function(t){return this._layers[t]},r.prototype.hasLayer=function(t){return t in this._layers},r.prototype.setLayerZoomRange=function(e,r,n){this._checkLoaded();var i=this.getLayer(e);i?i.minzoom===r&&i.maxzoom===n||(null!=r&&(i.minzoom=r),null!=n&&(i.maxzoom=n),this._updateLayer(i)):this.fire(new t.ErrorEvent(new Error("The layer '"+e+"' does not exist in the map's style and cannot have zoom extent.")))},r.prototype.setFilter=function(e,r,n){void 0===n&&(n={}),this._checkLoaded();var i=this.getLayer(e);if(i){if(!t.deepEqual(i.filter,r))return null==r?(i.filter=void 0,void this._updateLayer(i)):void(this._validate(t.validateStyle.filter,"layers."+i.id+".filter",r,null,n)||(i.filter=t.clone$1(r),this._updateLayer(i)))}else this.fire(new t.ErrorEvent(new Error("The layer '"+e+"' does not exist in the map's style and cannot be filtered.")))},r.prototype.getFilter=function(e){return t.clone$1(this.getLayer(e).filter)},r.prototype.setLayoutProperty=function(e,r,n,i){void 0===i&&(i={}),this._checkLoaded();var a=this.getLayer(e);a?t.deepEqual(a.getLayoutProperty(r),n)||(a.setLayoutProperty(r,n,i),this._updateLayer(a)):this.fire(new t.ErrorEvent(new Error("The layer '"+e+"' does not exist in the map's style and cannot be styled.")))},r.prototype.getLayoutProperty=function(e,r){var n=this.getLayer(e);if(n)return n.getLayoutProperty(r);this.fire(new t.ErrorEvent(new Error("The layer '"+e+"' does not exist in the map's style.")))},r.prototype.setPaintProperty=function(e,r,n,i){void 0===i&&(i={}),this._checkLoaded();var a=this.getLayer(e);a?t.deepEqual(a.getPaintProperty(r),n)||(a.setPaintProperty(r,n,i)&&this._updateLayer(a),this._changed=!0,this._updatedPaintProps[e]=!0):this.fire(new t.ErrorEvent(new Error("The layer '"+e+"' does not exist in the map's style and cannot be styled.")))},r.prototype.getPaintProperty=function(t,e){return this.getLayer(t).getPaintProperty(e)},r.prototype.setFeatureState=function(e,r){this._checkLoaded();var n=e.source,i=e.sourceLayer,a=this.sourceCaches[n];if(void 0!==a){var o=a.getSource().type;"geojson"===o&&i?this.fire(new t.ErrorEvent(new Error("GeoJSON sources cannot have a sourceLayer parameter."))):"vector"!==o||i?(void 0===e.id&&this.fire(new t.ErrorEvent(new Error("The feature id parameter must be provided."))),a.setFeatureState(i,e.id,r)):this.fire(new t.ErrorEvent(new Error("The sourceLayer parameter must be provided for vector source types.")))}else this.fire(new t.ErrorEvent(new Error("The source '"+n+"' does not exist in the map's style.")))},r.prototype.removeFeatureState=function(e,r){this._checkLoaded();var n=e.source,i=this.sourceCaches[n];if(void 0!==i){var a=i.getSource().type,o="vector"===a?e.sourceLayer:void 0;"vector"!==a||o?r&&"string"!=typeof e.id&&"number"!=typeof e.id?this.fire(new t.ErrorEvent(new Error("A feature id is required to remove its specific state property."))):i.removeFeatureState(o,e.id,r):this.fire(new t.ErrorEvent(new Error("The sourceLayer parameter must be provided for vector source types.")))}else this.fire(new t.ErrorEvent(new Error("The source '"+n+"' does not exist in the map's style.")))},r.prototype.getFeatureState=function(e){this._checkLoaded();var r=e.source,n=e.sourceLayer,i=this.sourceCaches[r];if(void 0!==i){if("vector"!==i.getSource().type||n)return void 0===e.id&&this.fire(new t.ErrorEvent(new Error("The feature id parameter must be provided."))),i.getFeatureState(n,e.id);this.fire(new t.ErrorEvent(new Error("The sourceLayer parameter must be provided for vector source types.")))}else this.fire(new t.ErrorEvent(new Error("The source '"+r+"' does not exist in the map's style.")))},r.prototype.getTransition=function(){return t.extend({duration:300,delay:0},this.stylesheet&&this.stylesheet.transition)},r.prototype.serialize=function(){return t.filterObject({version:this.stylesheet.version,name:this.stylesheet.name,metadata:this.stylesheet.metadata,light:this.stylesheet.light,center:this.stylesheet.center,zoom:this.stylesheet.zoom,bearing:this.stylesheet.bearing,pitch:this.stylesheet.pitch,sprite:this.stylesheet.sprite,glyphs:this.stylesheet.glyphs,transition:this.stylesheet.transition,sources:t.mapObject(this.sourceCaches,(function(t){return t.serialize()})),layers:this._serializeLayers(this._order)},(function(t){return void 0!==t}))},r.prototype._updateLayer=function(t){this._updatedLayers[t.id]=!0,t.source&&!this._updatedSources[t.source]&&"raster"!==this.sourceCaches[t.source].getSource().type&&(this._updatedSources[t.source]="reload",this.sourceCaches[t.source].pause()),this._changed=!0},r.prototype._flattenAndSortRenderedFeatures=function(t){for(var e=this,r=function(t){return"fill-extrusion"===e._layers[t].type},n={},i=[],a=this._order.length-1;a>=0;a--){var o=this._order[a];if(r(o)){n[o]=a;for(var s=0,l=t;s=0;d--){var v=this._order[d];if(r(v))for(var g=i.length-1;g>=0;g--){var y=i[g].feature;if(n[y.layer.id] 0.5) {gl_FragColor=vec4(0.0,0.0,1.0,0.5)*alpha;}if (v_notUsed > 0.5) {gl_FragColor*=.1;}}","attribute vec2 a_pos;attribute vec2 a_anchor_pos;attribute vec2 a_extrude;attribute vec2 a_placed;attribute vec2 a_shift;uniform mat4 u_matrix;uniform vec2 u_extrude_scale;uniform float u_camera_to_center_distance;varying float v_placed;varying float v_notUsed;void main() {vec4 projectedPoint=u_matrix*vec4(a_anchor_pos,0,1);highp float camera_to_anchor_distance=projectedPoint.w;highp float collision_perspective_ratio=clamp(0.5+0.5*(u_camera_to_center_distance/camera_to_anchor_distance),0.0,4.0);gl_Position=u_matrix*vec4(a_pos,0.0,1.0);gl_Position.xy+=(a_extrude+a_shift)*u_extrude_scale*gl_Position.w*collision_perspective_ratio;v_placed=a_placed.x;v_notUsed=a_placed.y;}"),nr=_r("varying float v_radius;varying vec2 v_extrude;varying float v_perspective_ratio;varying float v_collision;void main() {float alpha=0.5*min(v_perspective_ratio,1.0);float stroke_radius=0.9*max(v_perspective_ratio,1.0);float distance_to_center=length(v_extrude);float distance_to_edge=abs(distance_to_center-v_radius);float opacity_t=smoothstep(-stroke_radius,0.0,-distance_to_edge);vec4 color=mix(vec4(0.0,0.0,1.0,0.5),vec4(1.0,0.0,0.0,1.0),v_collision);gl_FragColor=color*alpha*opacity_t;}","attribute vec2 a_pos;attribute float a_radius;attribute vec2 a_flags;uniform mat4 u_matrix;uniform mat4 u_inv_matrix;uniform vec2 u_viewport_size;uniform float u_camera_to_center_distance;varying float v_radius;varying vec2 v_extrude;varying float v_perspective_ratio;varying float v_collision;vec3 toTilePosition(vec2 screenPos) {vec4 rayStart=u_inv_matrix*vec4(screenPos,-1.0,1.0);vec4 rayEnd =u_inv_matrix*vec4(screenPos, 1.0,1.0);rayStart.xyz/=rayStart.w;rayEnd.xyz /=rayEnd.w;highp float t=(0.0-rayStart.z)/(rayEnd.z-rayStart.z);return mix(rayStart.xyz,rayEnd.xyz,t);}void main() {vec2 quadCenterPos=a_pos;float radius=a_radius;float collision=a_flags.x;float vertexIdx=a_flags.y;vec2 quadVertexOffset=vec2(mix(-1.0,1.0,float(vertexIdx >=2.0)),mix(-1.0,1.0,float(vertexIdx >=1.0 && vertexIdx <=2.0)));vec2 quadVertexExtent=quadVertexOffset*radius;vec3 tilePos=toTilePosition(quadCenterPos);vec4 clipPos=u_matrix*vec4(tilePos,1.0);highp float camera_to_anchor_distance=clipPos.w;highp float collision_perspective_ratio=clamp(0.5+0.5*(u_camera_to_center_distance/camera_to_anchor_distance),0.0,4.0);float padding_factor=1.2;v_radius=radius;v_extrude=quadVertexExtent*padding_factor;v_perspective_ratio=collision_perspective_ratio;v_collision=collision;gl_Position=vec4(clipPos.xyz/clipPos.w,1.0)+vec4(quadVertexExtent*padding_factor/u_viewport_size*2.0,0.0,0.0);}"),ir=_r("uniform highp vec4 u_color;uniform sampler2D u_overlay;varying vec2 v_uv;void main() {vec4 overlay_color=texture2D(u_overlay,v_uv);gl_FragColor=mix(u_color,overlay_color,overlay_color.a);}","attribute vec2 a_pos;varying vec2 v_uv;uniform mat4 u_matrix;uniform float u_overlay_scale;void main() {v_uv=a_pos/8192.0;gl_Position=u_matrix*vec4(a_pos*u_overlay_scale,0,1);}"),ar=_r("#pragma mapbox: define highp vec4 color\n#pragma mapbox: define lowp float opacity\nvoid main() {\n#pragma mapbox: initialize highp vec4 color\n#pragma mapbox: initialize lowp float opacity\ngl_FragColor=color*opacity;\n#ifdef OVERDRAW_INSPECTOR\ngl_FragColor=vec4(1.0);\n#endif\n}","attribute vec2 a_pos;uniform mat4 u_matrix;\n#pragma mapbox: define highp vec4 color\n#pragma mapbox: define lowp float opacity\nvoid main() {\n#pragma mapbox: initialize highp vec4 color\n#pragma mapbox: initialize lowp float opacity\ngl_Position=u_matrix*vec4(a_pos,0,1);}"),or=_r("varying vec2 v_pos;\n#pragma mapbox: define highp vec4 outline_color\n#pragma mapbox: define lowp float opacity\nvoid main() {\n#pragma mapbox: initialize highp vec4 outline_color\n#pragma mapbox: initialize lowp float opacity\nfloat dist=length(v_pos-gl_FragCoord.xy);float alpha=1.0-smoothstep(0.0,1.0,dist);gl_FragColor=outline_color*(alpha*opacity);\n#ifdef OVERDRAW_INSPECTOR\ngl_FragColor=vec4(1.0);\n#endif\n}","attribute vec2 a_pos;uniform mat4 u_matrix;uniform vec2 u_world;varying vec2 v_pos;\n#pragma mapbox: define highp vec4 outline_color\n#pragma mapbox: define lowp float opacity\nvoid main() {\n#pragma mapbox: initialize highp vec4 outline_color\n#pragma mapbox: initialize lowp float opacity\ngl_Position=u_matrix*vec4(a_pos,0,1);v_pos=(gl_Position.xy/gl_Position.w+1.0)/2.0*u_world;}"),sr=_r("uniform vec2 u_texsize;uniform sampler2D u_image;uniform float u_fade;varying vec2 v_pos_a;varying vec2 v_pos_b;varying vec2 v_pos;\n#pragma mapbox: define lowp float opacity\n#pragma mapbox: define lowp vec4 pattern_from\n#pragma mapbox: define lowp vec4 pattern_to\nvoid main() {\n#pragma mapbox: initialize lowp float opacity\n#pragma mapbox: initialize mediump vec4 pattern_from\n#pragma mapbox: initialize mediump vec4 pattern_to\nvec2 pattern_tl_a=pattern_from.xy;vec2 pattern_br_a=pattern_from.zw;vec2 pattern_tl_b=pattern_to.xy;vec2 pattern_br_b=pattern_to.zw;vec2 imagecoord=mod(v_pos_a,1.0);vec2 pos=mix(pattern_tl_a/u_texsize,pattern_br_a/u_texsize,imagecoord);vec4 color1=texture2D(u_image,pos);vec2 imagecoord_b=mod(v_pos_b,1.0);vec2 pos2=mix(pattern_tl_b/u_texsize,pattern_br_b/u_texsize,imagecoord_b);vec4 color2=texture2D(u_image,pos2);float dist=length(v_pos-gl_FragCoord.xy);float alpha=1.0-smoothstep(0.0,1.0,dist);gl_FragColor=mix(color1,color2,u_fade)*alpha*opacity;\n#ifdef OVERDRAW_INSPECTOR\ngl_FragColor=vec4(1.0);\n#endif\n}","uniform mat4 u_matrix;uniform vec2 u_world;uniform vec2 u_pixel_coord_upper;uniform vec2 u_pixel_coord_lower;uniform vec3 u_scale;attribute vec2 a_pos;varying vec2 v_pos_a;varying vec2 v_pos_b;varying vec2 v_pos;\n#pragma mapbox: define lowp float opacity\n#pragma mapbox: define lowp vec4 pattern_from\n#pragma mapbox: define lowp vec4 pattern_to\n#pragma mapbox: define lowp float pixel_ratio_from\n#pragma mapbox: define lowp float pixel_ratio_to\nvoid main() {\n#pragma mapbox: initialize lowp float opacity\n#pragma mapbox: initialize mediump vec4 pattern_from\n#pragma mapbox: initialize mediump vec4 pattern_to\n#pragma mapbox: initialize lowp float pixel_ratio_from\n#pragma mapbox: initialize lowp float pixel_ratio_to\nvec2 pattern_tl_a=pattern_from.xy;vec2 pattern_br_a=pattern_from.zw;vec2 pattern_tl_b=pattern_to.xy;vec2 pattern_br_b=pattern_to.zw;float tileRatio=u_scale.x;float fromScale=u_scale.y;float toScale=u_scale.z;gl_Position=u_matrix*vec4(a_pos,0,1);vec2 display_size_a=(pattern_br_a-pattern_tl_a)/pixel_ratio_from;vec2 display_size_b=(pattern_br_b-pattern_tl_b)/pixel_ratio_to;v_pos_a=get_pattern_pos(u_pixel_coord_upper,u_pixel_coord_lower,fromScale*display_size_a,tileRatio,a_pos);v_pos_b=get_pattern_pos(u_pixel_coord_upper,u_pixel_coord_lower,toScale*display_size_b,tileRatio,a_pos);v_pos=(gl_Position.xy/gl_Position.w+1.0)/2.0*u_world;}"),lr=_r("uniform vec2 u_texsize;uniform float u_fade;uniform sampler2D u_image;varying vec2 v_pos_a;varying vec2 v_pos_b;\n#pragma mapbox: define lowp float opacity\n#pragma mapbox: define lowp vec4 pattern_from\n#pragma mapbox: define lowp vec4 pattern_to\nvoid main() {\n#pragma mapbox: initialize lowp float opacity\n#pragma mapbox: initialize mediump vec4 pattern_from\n#pragma mapbox: initialize mediump vec4 pattern_to\nvec2 pattern_tl_a=pattern_from.xy;vec2 pattern_br_a=pattern_from.zw;vec2 pattern_tl_b=pattern_to.xy;vec2 pattern_br_b=pattern_to.zw;vec2 imagecoord=mod(v_pos_a,1.0);vec2 pos=mix(pattern_tl_a/u_texsize,pattern_br_a/u_texsize,imagecoord);vec4 color1=texture2D(u_image,pos);vec2 imagecoord_b=mod(v_pos_b,1.0);vec2 pos2=mix(pattern_tl_b/u_texsize,pattern_br_b/u_texsize,imagecoord_b);vec4 color2=texture2D(u_image,pos2);gl_FragColor=mix(color1,color2,u_fade)*opacity;\n#ifdef OVERDRAW_INSPECTOR\ngl_FragColor=vec4(1.0);\n#endif\n}","uniform mat4 u_matrix;uniform vec2 u_pixel_coord_upper;uniform vec2 u_pixel_coord_lower;uniform vec3 u_scale;attribute vec2 a_pos;varying vec2 v_pos_a;varying vec2 v_pos_b;\n#pragma mapbox: define lowp float opacity\n#pragma mapbox: define lowp vec4 pattern_from\n#pragma mapbox: define lowp vec4 pattern_to\n#pragma mapbox: define lowp float pixel_ratio_from\n#pragma mapbox: define lowp float pixel_ratio_to\nvoid main() {\n#pragma mapbox: initialize lowp float opacity\n#pragma mapbox: initialize mediump vec4 pattern_from\n#pragma mapbox: initialize mediump vec4 pattern_to\n#pragma mapbox: initialize lowp float pixel_ratio_from\n#pragma mapbox: initialize lowp float pixel_ratio_to\nvec2 pattern_tl_a=pattern_from.xy;vec2 pattern_br_a=pattern_from.zw;vec2 pattern_tl_b=pattern_to.xy;vec2 pattern_br_b=pattern_to.zw;float tileZoomRatio=u_scale.x;float fromScale=u_scale.y;float toScale=u_scale.z;vec2 display_size_a=(pattern_br_a-pattern_tl_a)/pixel_ratio_from;vec2 display_size_b=(pattern_br_b-pattern_tl_b)/pixel_ratio_to;gl_Position=u_matrix*vec4(a_pos,0,1);v_pos_a=get_pattern_pos(u_pixel_coord_upper,u_pixel_coord_lower,fromScale*display_size_a,tileZoomRatio,a_pos);v_pos_b=get_pattern_pos(u_pixel_coord_upper,u_pixel_coord_lower,toScale*display_size_b,tileZoomRatio,a_pos);}"),ur=_r("varying vec4 v_color;void main() {gl_FragColor=v_color;\n#ifdef OVERDRAW_INSPECTOR\ngl_FragColor=vec4(1.0);\n#endif\n}","uniform mat4 u_matrix;uniform vec3 u_lightcolor;uniform lowp vec3 u_lightpos;uniform lowp float u_lightintensity;uniform float u_vertical_gradient;uniform lowp float u_opacity;attribute vec2 a_pos;attribute vec4 a_normal_ed;varying vec4 v_color;\n#pragma mapbox: define highp float base\n#pragma mapbox: define highp float height\n#pragma mapbox: define highp vec4 color\nvoid main() {\n#pragma mapbox: initialize highp float base\n#pragma mapbox: initialize highp float height\n#pragma mapbox: initialize highp vec4 color\nvec3 normal=a_normal_ed.xyz;base=max(0.0,base);height=max(0.0,height);float t=mod(normal.x,2.0);gl_Position=u_matrix*vec4(a_pos,t > 0.0 ? height : base,1);float colorvalue=color.r*0.2126+color.g*0.7152+color.b*0.0722;v_color=vec4(0.0,0.0,0.0,1.0);vec4 ambientlight=vec4(0.03,0.03,0.03,1.0);color+=ambientlight;float directional=clamp(dot(normal/16384.0,u_lightpos),0.0,1.0);directional=mix((1.0-u_lightintensity),max((1.0-colorvalue+u_lightintensity),1.0),directional);if (normal.y !=0.0) {directional*=((1.0-u_vertical_gradient)+(u_vertical_gradient*clamp((t+base)*pow(height/150.0,0.5),mix(0.7,0.98,1.0-u_lightintensity),1.0)));}v_color.r+=clamp(color.r*directional*u_lightcolor.r,mix(0.0,0.3,1.0-u_lightcolor.r),1.0);v_color.g+=clamp(color.g*directional*u_lightcolor.g,mix(0.0,0.3,1.0-u_lightcolor.g),1.0);v_color.b+=clamp(color.b*directional*u_lightcolor.b,mix(0.0,0.3,1.0-u_lightcolor.b),1.0);v_color*=u_opacity;}"),cr=_r("uniform vec2 u_texsize;uniform float u_fade;uniform sampler2D u_image;varying vec2 v_pos_a;varying vec2 v_pos_b;varying vec4 v_lighting;\n#pragma mapbox: define lowp float base\n#pragma mapbox: define lowp float height\n#pragma mapbox: define lowp vec4 pattern_from\n#pragma mapbox: define lowp vec4 pattern_to\n#pragma mapbox: define lowp float pixel_ratio_from\n#pragma mapbox: define lowp float pixel_ratio_to\nvoid main() {\n#pragma mapbox: initialize lowp float base\n#pragma mapbox: initialize lowp float height\n#pragma mapbox: initialize mediump vec4 pattern_from\n#pragma mapbox: initialize mediump vec4 pattern_to\n#pragma mapbox: initialize lowp float pixel_ratio_from\n#pragma mapbox: initialize lowp float pixel_ratio_to\nvec2 pattern_tl_a=pattern_from.xy;vec2 pattern_br_a=pattern_from.zw;vec2 pattern_tl_b=pattern_to.xy;vec2 pattern_br_b=pattern_to.zw;vec2 imagecoord=mod(v_pos_a,1.0);vec2 pos=mix(pattern_tl_a/u_texsize,pattern_br_a/u_texsize,imagecoord);vec4 color1=texture2D(u_image,pos);vec2 imagecoord_b=mod(v_pos_b,1.0);vec2 pos2=mix(pattern_tl_b/u_texsize,pattern_br_b/u_texsize,imagecoord_b);vec4 color2=texture2D(u_image,pos2);vec4 mixedColor=mix(color1,color2,u_fade);gl_FragColor=mixedColor*v_lighting;\n#ifdef OVERDRAW_INSPECTOR\ngl_FragColor=vec4(1.0);\n#endif\n}","uniform mat4 u_matrix;uniform vec2 u_pixel_coord_upper;uniform vec2 u_pixel_coord_lower;uniform float u_height_factor;uniform vec3 u_scale;uniform float u_vertical_gradient;uniform lowp float u_opacity;uniform vec3 u_lightcolor;uniform lowp vec3 u_lightpos;uniform lowp float u_lightintensity;attribute vec2 a_pos;attribute vec4 a_normal_ed;varying vec2 v_pos_a;varying vec2 v_pos_b;varying vec4 v_lighting;\n#pragma mapbox: define lowp float base\n#pragma mapbox: define lowp float height\n#pragma mapbox: define lowp vec4 pattern_from\n#pragma mapbox: define lowp vec4 pattern_to\n#pragma mapbox: define lowp float pixel_ratio_from\n#pragma mapbox: define lowp float pixel_ratio_to\nvoid main() {\n#pragma mapbox: initialize lowp float base\n#pragma mapbox: initialize lowp float height\n#pragma mapbox: initialize mediump vec4 pattern_from\n#pragma mapbox: initialize mediump vec4 pattern_to\n#pragma mapbox: initialize lowp float pixel_ratio_from\n#pragma mapbox: initialize lowp float pixel_ratio_to\nvec2 pattern_tl_a=pattern_from.xy;vec2 pattern_br_a=pattern_from.zw;vec2 pattern_tl_b=pattern_to.xy;vec2 pattern_br_b=pattern_to.zw;float tileRatio=u_scale.x;float fromScale=u_scale.y;float toScale=u_scale.z;vec3 normal=a_normal_ed.xyz;float edgedistance=a_normal_ed.w;vec2 display_size_a=(pattern_br_a-pattern_tl_a)/pixel_ratio_from;vec2 display_size_b=(pattern_br_b-pattern_tl_b)/pixel_ratio_to;base=max(0.0,base);height=max(0.0,height);float t=mod(normal.x,2.0);float z=t > 0.0 ? height : base;gl_Position=u_matrix*vec4(a_pos,z,1);vec2 pos=normal.x==1.0 && normal.y==0.0 && normal.z==16384.0\n? a_pos\n: vec2(edgedistance,z*u_height_factor);v_pos_a=get_pattern_pos(u_pixel_coord_upper,u_pixel_coord_lower,fromScale*display_size_a,tileRatio,pos);v_pos_b=get_pattern_pos(u_pixel_coord_upper,u_pixel_coord_lower,toScale*display_size_b,tileRatio,pos);v_lighting=vec4(0.0,0.0,0.0,1.0);float directional=clamp(dot(normal/16383.0,u_lightpos),0.0,1.0);directional=mix((1.0-u_lightintensity),max((0.5+u_lightintensity),1.0),directional);if (normal.y !=0.0) {directional*=((1.0-u_vertical_gradient)+(u_vertical_gradient*clamp((t+base)*pow(height/150.0,0.5),mix(0.7,0.98,1.0-u_lightintensity),1.0)));}v_lighting.rgb+=clamp(directional*u_lightcolor,mix(vec3(0.0),vec3(0.3),1.0-u_lightcolor),vec3(1.0));v_lighting*=u_opacity;}"),fr=_r("#ifdef GL_ES\nprecision highp float;\n#endif\nuniform sampler2D u_image;varying vec2 v_pos;uniform vec2 u_dimension;uniform float u_zoom;uniform vec4 u_unpack;float getElevation(vec2 coord,float bias) {vec4 data=texture2D(u_image,coord)*255.0;data.a=-1.0;return dot(data,u_unpack)/4.0;}void main() {vec2 epsilon=1.0/u_dimension;float a=getElevation(v_pos+vec2(-epsilon.x,-epsilon.y),0.0);float b=getElevation(v_pos+vec2(0,-epsilon.y),0.0);float c=getElevation(v_pos+vec2(epsilon.x,-epsilon.y),0.0);float d=getElevation(v_pos+vec2(-epsilon.x,0),0.0);float e=getElevation(v_pos,0.0);float f=getElevation(v_pos+vec2(epsilon.x,0),0.0);float g=getElevation(v_pos+vec2(-epsilon.x,epsilon.y),0.0);float h=getElevation(v_pos+vec2(0,epsilon.y),0.0);float i=getElevation(v_pos+vec2(epsilon.x,epsilon.y),0.0);float exaggerationFactor=u_zoom < 2.0 ? 0.4 : u_zoom < 4.5 ? 0.35 : 0.3;float exaggeration=u_zoom < 15.0 ? (u_zoom-15.0)*exaggerationFactor : 0.0;vec2 deriv=vec2((c+f+f+i)-(a+d+d+g),(g+h+h+i)-(a+b+b+c))/pow(2.0,exaggeration+(19.2562-u_zoom));gl_FragColor=clamp(vec4(deriv.x/2.0+0.5,deriv.y/2.0+0.5,1.0,1.0),0.0,1.0);\n#ifdef OVERDRAW_INSPECTOR\ngl_FragColor=vec4(1.0);\n#endif\n}","uniform mat4 u_matrix;uniform vec2 u_dimension;attribute vec2 a_pos;attribute vec2 a_texture_pos;varying vec2 v_pos;void main() {gl_Position=u_matrix*vec4(a_pos,0,1);highp vec2 epsilon=1.0/u_dimension;float scale=(u_dimension.x-2.0)/u_dimension.x;v_pos=(a_texture_pos/8192.0)*scale+epsilon;}"),hr=_r("uniform sampler2D u_image;varying vec2 v_pos;uniform vec2 u_latrange;uniform vec2 u_light;uniform vec4 u_shadow;uniform vec4 u_highlight;uniform vec4 u_accent;\n#define PI 3.141592653589793\nvoid main() {vec4 pixel=texture2D(u_image,v_pos);vec2 deriv=((pixel.rg*2.0)-1.0);float scaleFactor=cos(radians((u_latrange[0]-u_latrange[1])*(1.0-v_pos.y)+u_latrange[1]));float slope=atan(1.25*length(deriv)/scaleFactor);float aspect=deriv.x !=0.0 ? atan(deriv.y,-deriv.x) : PI/2.0*(deriv.y > 0.0 ? 1.0 :-1.0);float intensity=u_light.x;float azimuth=u_light.y+PI;float base=1.875-intensity*1.75;float maxValue=0.5*PI;float scaledSlope=intensity !=0.5 ? ((pow(base,slope)-1.0)/(pow(base,maxValue)-1.0))*maxValue : slope;float accent=cos(scaledSlope);vec4 accent_color=(1.0-accent)*u_accent*clamp(intensity*2.0,0.0,1.0);float shade=abs(mod((aspect+azimuth)/PI+0.5,2.0)-1.0);vec4 shade_color=mix(u_shadow,u_highlight,shade)*sin(scaledSlope)*clamp(intensity*2.0,0.0,1.0);gl_FragColor=accent_color*(1.0-shade_color.a)+shade_color;\n#ifdef OVERDRAW_INSPECTOR\ngl_FragColor=vec4(1.0);\n#endif\n}","uniform mat4 u_matrix;attribute vec2 a_pos;attribute vec2 a_texture_pos;varying vec2 v_pos;void main() {gl_Position=u_matrix*vec4(a_pos,0,1);v_pos=a_texture_pos/8192.0;}"),pr=_r("uniform lowp float u_device_pixel_ratio;varying vec2 v_width2;varying vec2 v_normal;varying float v_gamma_scale;\n#pragma mapbox: define highp vec4 color\n#pragma mapbox: define lowp float blur\n#pragma mapbox: define lowp float opacity\nvoid main() {\n#pragma mapbox: initialize highp vec4 color\n#pragma mapbox: initialize lowp float blur\n#pragma mapbox: initialize lowp float opacity\nfloat dist=length(v_normal)*v_width2.s;float blur2=(blur+1.0/u_device_pixel_ratio)*v_gamma_scale;float alpha=clamp(min(dist-(v_width2.t-blur2),v_width2.s-dist)/blur2,0.0,1.0);gl_FragColor=color*(alpha*opacity);\n#ifdef OVERDRAW_INSPECTOR\ngl_FragColor=vec4(1.0);\n#endif\n}","\n#define scale 0.015873016\nattribute vec2 a_pos_normal;attribute vec4 a_data;uniform mat4 u_matrix;uniform mediump float u_ratio;uniform vec2 u_units_to_pixels;uniform lowp float u_device_pixel_ratio;varying vec2 v_normal;varying vec2 v_width2;varying float v_gamma_scale;varying highp float v_linesofar;\n#pragma mapbox: define highp vec4 color\n#pragma mapbox: define lowp float blur\n#pragma mapbox: define lowp float opacity\n#pragma mapbox: define mediump float gapwidth\n#pragma mapbox: define lowp float offset\n#pragma mapbox: define mediump float width\nvoid main() {\n#pragma mapbox: initialize highp vec4 color\n#pragma mapbox: initialize lowp float blur\n#pragma mapbox: initialize lowp float opacity\n#pragma mapbox: initialize mediump float gapwidth\n#pragma mapbox: initialize lowp float offset\n#pragma mapbox: initialize mediump float width\nfloat ANTIALIASING=1.0/u_device_pixel_ratio/2.0;vec2 a_extrude=a_data.xy-128.0;float a_direction=mod(a_data.z,4.0)-1.0;v_linesofar=(floor(a_data.z/4.0)+a_data.w*64.0)*2.0;vec2 pos=floor(a_pos_normal*0.5);mediump vec2 normal=a_pos_normal-2.0*pos;normal.y=normal.y*2.0-1.0;v_normal=normal;gapwidth=gapwidth/2.0;float halfwidth=width/2.0;offset=-1.0*offset;float inset=gapwidth+(gapwidth > 0.0 ? ANTIALIASING : 0.0);float outset=gapwidth+halfwidth*(gapwidth > 0.0 ? 2.0 : 1.0)+(halfwidth==0.0 ? 0.0 : ANTIALIASING);mediump vec2 dist=outset*a_extrude*scale;mediump float u=0.5*a_direction;mediump float t=1.0-abs(u);mediump vec2 offset2=offset*a_extrude*scale*normal.y*mat2(t,-u,u,t);vec4 projected_extrude=u_matrix*vec4(dist/u_ratio,0.0,0.0);gl_Position=u_matrix*vec4(pos+offset2/u_ratio,0.0,1.0)+projected_extrude;float extrude_length_without_perspective=length(dist);float extrude_length_with_perspective=length(projected_extrude.xy/gl_Position.w*u_units_to_pixels);v_gamma_scale=extrude_length_without_perspective/extrude_length_with_perspective;v_width2=vec2(outset,inset);}"),dr=_r("uniform lowp float u_device_pixel_ratio;uniform sampler2D u_image;varying vec2 v_width2;varying vec2 v_normal;varying float v_gamma_scale;varying highp vec2 v_uv;\n#pragma mapbox: define lowp float blur\n#pragma mapbox: define lowp float opacity\nvoid main() {\n#pragma mapbox: initialize lowp float blur\n#pragma mapbox: initialize lowp float opacity\nfloat dist=length(v_normal)*v_width2.s;float blur2=(blur+1.0/u_device_pixel_ratio)*v_gamma_scale;float alpha=clamp(min(dist-(v_width2.t-blur2),v_width2.s-dist)/blur2,0.0,1.0);vec4 color=texture2D(u_image,v_uv);gl_FragColor=color*(alpha*opacity);\n#ifdef OVERDRAW_INSPECTOR\ngl_FragColor=vec4(1.0);\n#endif\n}","\n#define scale 0.015873016\nattribute vec2 a_pos_normal;attribute vec4 a_data;attribute float a_uv_x;attribute float a_split_index;uniform mat4 u_matrix;uniform mediump float u_ratio;uniform lowp float u_device_pixel_ratio;uniform vec2 u_units_to_pixels;uniform float u_image_height;varying vec2 v_normal;varying vec2 v_width2;varying float v_gamma_scale;varying highp vec2 v_uv;\n#pragma mapbox: define lowp float blur\n#pragma mapbox: define lowp float opacity\n#pragma mapbox: define mediump float gapwidth\n#pragma mapbox: define lowp float offset\n#pragma mapbox: define mediump float width\nvoid main() {\n#pragma mapbox: initialize lowp float blur\n#pragma mapbox: initialize lowp float opacity\n#pragma mapbox: initialize mediump float gapwidth\n#pragma mapbox: initialize lowp float offset\n#pragma mapbox: initialize mediump float width\nfloat ANTIALIASING=1.0/u_device_pixel_ratio/2.0;vec2 a_extrude=a_data.xy-128.0;float a_direction=mod(a_data.z,4.0)-1.0;highp float texel_height=1.0/u_image_height;highp float half_texel_height=0.5*texel_height;v_uv=vec2(a_uv_x,a_split_index*texel_height-half_texel_height);vec2 pos=floor(a_pos_normal*0.5);mediump vec2 normal=a_pos_normal-2.0*pos;normal.y=normal.y*2.0-1.0;v_normal=normal;gapwidth=gapwidth/2.0;float halfwidth=width/2.0;offset=-1.0*offset;float inset=gapwidth+(gapwidth > 0.0 ? ANTIALIASING : 0.0);float outset=gapwidth+halfwidth*(gapwidth > 0.0 ? 2.0 : 1.0)+(halfwidth==0.0 ? 0.0 : ANTIALIASING);mediump vec2 dist=outset*a_extrude*scale;mediump float u=0.5*a_direction;mediump float t=1.0-abs(u);mediump vec2 offset2=offset*a_extrude*scale*normal.y*mat2(t,-u,u,t);vec4 projected_extrude=u_matrix*vec4(dist/u_ratio,0.0,0.0);gl_Position=u_matrix*vec4(pos+offset2/u_ratio,0.0,1.0)+projected_extrude;float extrude_length_without_perspective=length(dist);float extrude_length_with_perspective=length(projected_extrude.xy/gl_Position.w*u_units_to_pixels);v_gamma_scale=extrude_length_without_perspective/extrude_length_with_perspective;v_width2=vec2(outset,inset);}"),vr=_r("uniform lowp float u_device_pixel_ratio;uniform vec2 u_texsize;uniform float u_fade;uniform mediump vec3 u_scale;uniform sampler2D u_image;varying vec2 v_normal;varying vec2 v_width2;varying float v_linesofar;varying float v_gamma_scale;varying float v_width;\n#pragma mapbox: define lowp vec4 pattern_from\n#pragma mapbox: define lowp vec4 pattern_to\n#pragma mapbox: define lowp float pixel_ratio_from\n#pragma mapbox: define lowp float pixel_ratio_to\n#pragma mapbox: define lowp float blur\n#pragma mapbox: define lowp float opacity\nvoid main() {\n#pragma mapbox: initialize mediump vec4 pattern_from\n#pragma mapbox: initialize mediump vec4 pattern_to\n#pragma mapbox: initialize lowp float pixel_ratio_from\n#pragma mapbox: initialize lowp float pixel_ratio_to\n#pragma mapbox: initialize lowp float blur\n#pragma mapbox: initialize lowp float opacity\nvec2 pattern_tl_a=pattern_from.xy;vec2 pattern_br_a=pattern_from.zw;vec2 pattern_tl_b=pattern_to.xy;vec2 pattern_br_b=pattern_to.zw;float tileZoomRatio=u_scale.x;float fromScale=u_scale.y;float toScale=u_scale.z;vec2 display_size_a=(pattern_br_a-pattern_tl_a)/pixel_ratio_from;vec2 display_size_b=(pattern_br_b-pattern_tl_b)/pixel_ratio_to;vec2 pattern_size_a=vec2(display_size_a.x*fromScale/tileZoomRatio,display_size_a.y);vec2 pattern_size_b=vec2(display_size_b.x*toScale/tileZoomRatio,display_size_b.y);float aspect_a=display_size_a.y/v_width;float aspect_b=display_size_b.y/v_width;float dist=length(v_normal)*v_width2.s;float blur2=(blur+1.0/u_device_pixel_ratio)*v_gamma_scale;float alpha=clamp(min(dist-(v_width2.t-blur2),v_width2.s-dist)/blur2,0.0,1.0);float x_a=mod(v_linesofar/pattern_size_a.x*aspect_a,1.0);float x_b=mod(v_linesofar/pattern_size_b.x*aspect_b,1.0);float y=0.5*v_normal.y+0.5;vec2 texel_size=1.0/u_texsize;vec2 pos_a=mix(pattern_tl_a*texel_size-texel_size,pattern_br_a*texel_size+texel_size,vec2(x_a,y));vec2 pos_b=mix(pattern_tl_b*texel_size-texel_size,pattern_br_b*texel_size+texel_size,vec2(x_b,y));vec4 color=mix(texture2D(u_image,pos_a),texture2D(u_image,pos_b),u_fade);gl_FragColor=color*alpha*opacity;\n#ifdef OVERDRAW_INSPECTOR\ngl_FragColor=vec4(1.0);\n#endif\n}","\n#define scale 0.015873016\n#define LINE_DISTANCE_SCALE 2.0\nattribute vec2 a_pos_normal;attribute vec4 a_data;uniform mat4 u_matrix;uniform vec2 u_units_to_pixels;uniform mediump float u_ratio;uniform lowp float u_device_pixel_ratio;varying vec2 v_normal;varying vec2 v_width2;varying float v_linesofar;varying float v_gamma_scale;varying float v_width;\n#pragma mapbox: define lowp float blur\n#pragma mapbox: define lowp float opacity\n#pragma mapbox: define lowp float offset\n#pragma mapbox: define mediump float gapwidth\n#pragma mapbox: define mediump float width\n#pragma mapbox: define lowp float floorwidth\n#pragma mapbox: define lowp vec4 pattern_from\n#pragma mapbox: define lowp vec4 pattern_to\n#pragma mapbox: define lowp float pixel_ratio_from\n#pragma mapbox: define lowp float pixel_ratio_to\nvoid main() {\n#pragma mapbox: initialize lowp float blur\n#pragma mapbox: initialize lowp float opacity\n#pragma mapbox: initialize lowp float offset\n#pragma mapbox: initialize mediump float gapwidth\n#pragma mapbox: initialize mediump float width\n#pragma mapbox: initialize lowp float floorwidth\n#pragma mapbox: initialize mediump vec4 pattern_from\n#pragma mapbox: initialize mediump vec4 pattern_to\n#pragma mapbox: initialize lowp float pixel_ratio_from\n#pragma mapbox: initialize lowp float pixel_ratio_to\nfloat ANTIALIASING=1.0/u_device_pixel_ratio/2.0;vec2 a_extrude=a_data.xy-128.0;float a_direction=mod(a_data.z,4.0)-1.0;float a_linesofar=(floor(a_data.z/4.0)+a_data.w*64.0)*LINE_DISTANCE_SCALE;vec2 pos=floor(a_pos_normal*0.5);mediump vec2 normal=a_pos_normal-2.0*pos;normal.y=normal.y*2.0-1.0;v_normal=normal;gapwidth=gapwidth/2.0;float halfwidth=width/2.0;offset=-1.0*offset;float inset=gapwidth+(gapwidth > 0.0 ? ANTIALIASING : 0.0);float outset=gapwidth+halfwidth*(gapwidth > 0.0 ? 2.0 : 1.0)+(halfwidth==0.0 ? 0.0 : ANTIALIASING);mediump vec2 dist=outset*a_extrude*scale;mediump float u=0.5*a_direction;mediump float t=1.0-abs(u);mediump vec2 offset2=offset*a_extrude*scale*normal.y*mat2(t,-u,u,t);vec4 projected_extrude=u_matrix*vec4(dist/u_ratio,0.0,0.0);gl_Position=u_matrix*vec4(pos+offset2/u_ratio,0.0,1.0)+projected_extrude;float extrude_length_without_perspective=length(dist);float extrude_length_with_perspective=length(projected_extrude.xy/gl_Position.w*u_units_to_pixels);v_gamma_scale=extrude_length_without_perspective/extrude_length_with_perspective;v_linesofar=a_linesofar;v_width2=vec2(outset,inset);v_width=floorwidth;}"),gr=_r("uniform lowp float u_device_pixel_ratio;uniform sampler2D u_image;uniform float u_sdfgamma;uniform float u_mix;varying vec2 v_normal;varying vec2 v_width2;varying vec2 v_tex_a;varying vec2 v_tex_b;varying float v_gamma_scale;\n#pragma mapbox: define highp vec4 color\n#pragma mapbox: define lowp float blur\n#pragma mapbox: define lowp float opacity\n#pragma mapbox: define mediump float width\n#pragma mapbox: define lowp float floorwidth\nvoid main() {\n#pragma mapbox: initialize highp vec4 color\n#pragma mapbox: initialize lowp float blur\n#pragma mapbox: initialize lowp float opacity\n#pragma mapbox: initialize mediump float width\n#pragma mapbox: initialize lowp float floorwidth\nfloat dist=length(v_normal)*v_width2.s;float blur2=(blur+1.0/u_device_pixel_ratio)*v_gamma_scale;float alpha=clamp(min(dist-(v_width2.t-blur2),v_width2.s-dist)/blur2,0.0,1.0);float sdfdist_a=texture2D(u_image,v_tex_a).a;float sdfdist_b=texture2D(u_image,v_tex_b).a;float sdfdist=mix(sdfdist_a,sdfdist_b,u_mix);alpha*=smoothstep(0.5-u_sdfgamma/floorwidth,0.5+u_sdfgamma/floorwidth,sdfdist);gl_FragColor=color*(alpha*opacity);\n#ifdef OVERDRAW_INSPECTOR\ngl_FragColor=vec4(1.0);\n#endif\n}","\n#define scale 0.015873016\n#define LINE_DISTANCE_SCALE 2.0\nattribute vec2 a_pos_normal;attribute vec4 a_data;uniform mat4 u_matrix;uniform mediump float u_ratio;uniform lowp float u_device_pixel_ratio;uniform vec2 u_patternscale_a;uniform float u_tex_y_a;uniform vec2 u_patternscale_b;uniform float u_tex_y_b;uniform vec2 u_units_to_pixels;varying vec2 v_normal;varying vec2 v_width2;varying vec2 v_tex_a;varying vec2 v_tex_b;varying float v_gamma_scale;\n#pragma mapbox: define highp vec4 color\n#pragma mapbox: define lowp float blur\n#pragma mapbox: define lowp float opacity\n#pragma mapbox: define mediump float gapwidth\n#pragma mapbox: define lowp float offset\n#pragma mapbox: define mediump float width\n#pragma mapbox: define lowp float floorwidth\nvoid main() {\n#pragma mapbox: initialize highp vec4 color\n#pragma mapbox: initialize lowp float blur\n#pragma mapbox: initialize lowp float opacity\n#pragma mapbox: initialize mediump float gapwidth\n#pragma mapbox: initialize lowp float offset\n#pragma mapbox: initialize mediump float width\n#pragma mapbox: initialize lowp float floorwidth\nfloat ANTIALIASING=1.0/u_device_pixel_ratio/2.0;vec2 a_extrude=a_data.xy-128.0;float a_direction=mod(a_data.z,4.0)-1.0;float a_linesofar=(floor(a_data.z/4.0)+a_data.w*64.0)*LINE_DISTANCE_SCALE;vec2 pos=floor(a_pos_normal*0.5);mediump vec2 normal=a_pos_normal-2.0*pos;normal.y=normal.y*2.0-1.0;v_normal=normal;gapwidth=gapwidth/2.0;float halfwidth=width/2.0;offset=-1.0*offset;float inset=gapwidth+(gapwidth > 0.0 ? ANTIALIASING : 0.0);float outset=gapwidth+halfwidth*(gapwidth > 0.0 ? 2.0 : 1.0)+(halfwidth==0.0 ? 0.0 : ANTIALIASING);mediump vec2 dist=outset*a_extrude*scale;mediump float u=0.5*a_direction;mediump float t=1.0-abs(u);mediump vec2 offset2=offset*a_extrude*scale*normal.y*mat2(t,-u,u,t);vec4 projected_extrude=u_matrix*vec4(dist/u_ratio,0.0,0.0);gl_Position=u_matrix*vec4(pos+offset2/u_ratio,0.0,1.0)+projected_extrude;float extrude_length_without_perspective=length(dist);float extrude_length_with_perspective=length(projected_extrude.xy/gl_Position.w*u_units_to_pixels);v_gamma_scale=extrude_length_without_perspective/extrude_length_with_perspective;v_tex_a=vec2(a_linesofar*u_patternscale_a.x/floorwidth,normal.y*u_patternscale_a.y+u_tex_y_a);v_tex_b=vec2(a_linesofar*u_patternscale_b.x/floorwidth,normal.y*u_patternscale_b.y+u_tex_y_b);v_width2=vec2(outset,inset);}"),yr=_r("uniform float u_fade_t;uniform float u_opacity;uniform sampler2D u_image0;uniform sampler2D u_image1;varying vec2 v_pos0;varying vec2 v_pos1;uniform float u_brightness_low;uniform float u_brightness_high;uniform float u_saturation_factor;uniform float u_contrast_factor;uniform vec3 u_spin_weights;void main() {vec4 color0=texture2D(u_image0,v_pos0);vec4 color1=texture2D(u_image1,v_pos1);if (color0.a > 0.0) {color0.rgb=color0.rgb/color0.a;}if (color1.a > 0.0) {color1.rgb=color1.rgb/color1.a;}vec4 color=mix(color0,color1,u_fade_t);color.a*=u_opacity;vec3 rgb=color.rgb;rgb=vec3(dot(rgb,u_spin_weights.xyz),dot(rgb,u_spin_weights.zxy),dot(rgb,u_spin_weights.yzx));float average=(color.r+color.g+color.b)/3.0;rgb+=(average-rgb)*u_saturation_factor;rgb=(rgb-0.5)*u_contrast_factor+0.5;vec3 u_high_vec=vec3(u_brightness_low,u_brightness_low,u_brightness_low);vec3 u_low_vec=vec3(u_brightness_high,u_brightness_high,u_brightness_high);gl_FragColor=vec4(mix(u_high_vec,u_low_vec,rgb)*color.a,color.a);\n#ifdef OVERDRAW_INSPECTOR\ngl_FragColor=vec4(1.0);\n#endif\n}","uniform mat4 u_matrix;uniform vec2 u_tl_parent;uniform float u_scale_parent;uniform float u_buffer_scale;attribute vec2 a_pos;attribute vec2 a_texture_pos;varying vec2 v_pos0;varying vec2 v_pos1;void main() {gl_Position=u_matrix*vec4(a_pos,0,1);v_pos0=(((a_texture_pos/8192.0)-0.5)/u_buffer_scale )+0.5;v_pos1=(v_pos0*u_scale_parent)+u_tl_parent;}"),mr=_r("uniform sampler2D u_texture;varying vec2 v_tex;varying float v_fade_opacity;\n#pragma mapbox: define lowp float opacity\nvoid main() {\n#pragma mapbox: initialize lowp float opacity\nlowp float alpha=opacity*v_fade_opacity;gl_FragColor=texture2D(u_texture,v_tex)*alpha;\n#ifdef OVERDRAW_INSPECTOR\ngl_FragColor=vec4(1.0);\n#endif\n}","const float PI=3.141592653589793;attribute vec4 a_pos_offset;attribute vec4 a_data;attribute vec4 a_pixeloffset;attribute vec3 a_projected_pos;attribute float a_fade_opacity;uniform bool u_is_size_zoom_constant;uniform bool u_is_size_feature_constant;uniform highp float u_size_t;uniform highp float u_size;uniform highp float u_camera_to_center_distance;uniform highp float u_pitch;uniform bool u_rotate_symbol;uniform highp float u_aspect_ratio;uniform float u_fade_change;uniform mat4 u_matrix;uniform mat4 u_label_plane_matrix;uniform mat4 u_coord_matrix;uniform bool u_is_text;uniform bool u_pitch_with_map;uniform vec2 u_texsize;varying vec2 v_tex;varying float v_fade_opacity;\n#pragma mapbox: define lowp float opacity\nvoid main() {\n#pragma mapbox: initialize lowp float opacity\nvec2 a_pos=a_pos_offset.xy;vec2 a_offset=a_pos_offset.zw;vec2 a_tex=a_data.xy;vec2 a_size=a_data.zw;float a_size_min=floor(a_size[0]*0.5);vec2 a_pxoffset=a_pixeloffset.xy;vec2 a_minFontScale=a_pixeloffset.zw/256.0;highp float segment_angle=-a_projected_pos[2];float size;if (!u_is_size_zoom_constant && !u_is_size_feature_constant) {size=mix(a_size_min,a_size[1],u_size_t)/128.0;} else if (u_is_size_zoom_constant && !u_is_size_feature_constant) {size=a_size_min/128.0;} else {size=u_size;}vec4 projectedPoint=u_matrix*vec4(a_pos,0,1);highp float camera_to_anchor_distance=projectedPoint.w;highp float distance_ratio=u_pitch_with_map ?\ncamera_to_anchor_distance/u_camera_to_center_distance :\nu_camera_to_center_distance/camera_to_anchor_distance;highp float perspective_ratio=clamp(0.5+0.5*distance_ratio,0.0,4.0);size*=perspective_ratio;float fontScale=u_is_text ? size/24.0 : size;highp float symbol_rotation=0.0;if (u_rotate_symbol) {vec4 offsetProjectedPoint=u_matrix*vec4(a_pos+vec2(1,0),0,1);vec2 a=projectedPoint.xy/projectedPoint.w;vec2 b=offsetProjectedPoint.xy/offsetProjectedPoint.w;symbol_rotation=atan((b.y-a.y)/u_aspect_ratio,b.x-a.x);}highp float angle_sin=sin(segment_angle+symbol_rotation);highp float angle_cos=cos(segment_angle+symbol_rotation);mat2 rotation_matrix=mat2(angle_cos,-1.0*angle_sin,angle_sin,angle_cos);vec4 projected_pos=u_label_plane_matrix*vec4(a_projected_pos.xy,0.0,1.0);gl_Position=u_coord_matrix*vec4(projected_pos.xy/projected_pos.w+rotation_matrix*(a_offset/32.0*max(a_minFontScale,fontScale)+a_pxoffset/16.0),0.0,1.0);v_tex=a_tex/u_texsize;vec2 fade_opacity=unpack_opacity(a_fade_opacity);float fade_change=fade_opacity[1] > 0.5 ? u_fade_change :-u_fade_change;v_fade_opacity=max(0.0,min(1.0,fade_opacity[0]+fade_change));}"),xr=_r("#define SDF_PX 8.0\nuniform bool u_is_halo;uniform sampler2D u_texture;uniform highp float u_gamma_scale;uniform lowp float u_device_pixel_ratio;uniform bool u_is_text;varying vec2 v_data0;varying vec3 v_data1;\n#pragma mapbox: define highp vec4 fill_color\n#pragma mapbox: define highp vec4 halo_color\n#pragma mapbox: define lowp float opacity\n#pragma mapbox: define lowp float halo_width\n#pragma mapbox: define lowp float halo_blur\nvoid main() {\n#pragma mapbox: initialize highp vec4 fill_color\n#pragma mapbox: initialize highp vec4 halo_color\n#pragma mapbox: initialize lowp float opacity\n#pragma mapbox: initialize lowp float halo_width\n#pragma mapbox: initialize lowp float halo_blur\nfloat EDGE_GAMMA=0.105/u_device_pixel_ratio;vec2 tex=v_data0.xy;float gamma_scale=v_data1.x;float size=v_data1.y;float fade_opacity=v_data1[2];float fontScale=u_is_text ? size/24.0 : size;lowp vec4 color=fill_color;highp float gamma=EDGE_GAMMA/(fontScale*u_gamma_scale);lowp float buff=(256.0-64.0)/256.0;if (u_is_halo) {color=halo_color;gamma=(halo_blur*1.19/SDF_PX+EDGE_GAMMA)/(fontScale*u_gamma_scale);buff=(6.0-halo_width/fontScale)/SDF_PX;}lowp float dist=texture2D(u_texture,tex).a;highp float gamma_scaled=gamma*gamma_scale;highp float alpha=smoothstep(buff-gamma_scaled,buff+gamma_scaled,dist);gl_FragColor=color*(alpha*opacity*fade_opacity);\n#ifdef OVERDRAW_INSPECTOR\ngl_FragColor=vec4(1.0);\n#endif\n}","const float PI=3.141592653589793;attribute vec4 a_pos_offset;attribute vec4 a_data;attribute vec4 a_pixeloffset;attribute vec3 a_projected_pos;attribute float a_fade_opacity;uniform bool u_is_size_zoom_constant;uniform bool u_is_size_feature_constant;uniform highp float u_size_t;uniform highp float u_size;uniform mat4 u_matrix;uniform mat4 u_label_plane_matrix;uniform mat4 u_coord_matrix;uniform bool u_is_text;uniform bool u_pitch_with_map;uniform highp float u_pitch;uniform bool u_rotate_symbol;uniform highp float u_aspect_ratio;uniform highp float u_camera_to_center_distance;uniform float u_fade_change;uniform vec2 u_texsize;varying vec2 v_data0;varying vec3 v_data1;\n#pragma mapbox: define highp vec4 fill_color\n#pragma mapbox: define highp vec4 halo_color\n#pragma mapbox: define lowp float opacity\n#pragma mapbox: define lowp float halo_width\n#pragma mapbox: define lowp float halo_blur\nvoid main() {\n#pragma mapbox: initialize highp vec4 fill_color\n#pragma mapbox: initialize highp vec4 halo_color\n#pragma mapbox: initialize lowp float opacity\n#pragma mapbox: initialize lowp float halo_width\n#pragma mapbox: initialize lowp float halo_blur\nvec2 a_pos=a_pos_offset.xy;vec2 a_offset=a_pos_offset.zw;vec2 a_tex=a_data.xy;vec2 a_size=a_data.zw;float a_size_min=floor(a_size[0]*0.5);vec2 a_pxoffset=a_pixeloffset.xy;highp float segment_angle=-a_projected_pos[2];float size;if (!u_is_size_zoom_constant && !u_is_size_feature_constant) {size=mix(a_size_min,a_size[1],u_size_t)/128.0;} else if (u_is_size_zoom_constant && !u_is_size_feature_constant) {size=a_size_min/128.0;} else {size=u_size;}vec4 projectedPoint=u_matrix*vec4(a_pos,0,1);highp float camera_to_anchor_distance=projectedPoint.w;highp float distance_ratio=u_pitch_with_map ?\ncamera_to_anchor_distance/u_camera_to_center_distance :\nu_camera_to_center_distance/camera_to_anchor_distance;highp float perspective_ratio=clamp(0.5+0.5*distance_ratio,0.0,4.0);size*=perspective_ratio;float fontScale=u_is_text ? size/24.0 : size;highp float symbol_rotation=0.0;if (u_rotate_symbol) {vec4 offsetProjectedPoint=u_matrix*vec4(a_pos+vec2(1,0),0,1);vec2 a=projectedPoint.xy/projectedPoint.w;vec2 b=offsetProjectedPoint.xy/offsetProjectedPoint.w;symbol_rotation=atan((b.y-a.y)/u_aspect_ratio,b.x-a.x);}highp float angle_sin=sin(segment_angle+symbol_rotation);highp float angle_cos=cos(segment_angle+symbol_rotation);mat2 rotation_matrix=mat2(angle_cos,-1.0*angle_sin,angle_sin,angle_cos);vec4 projected_pos=u_label_plane_matrix*vec4(a_projected_pos.xy,0.0,1.0);gl_Position=u_coord_matrix*vec4(projected_pos.xy/projected_pos.w+rotation_matrix*(a_offset/32.0*fontScale+a_pxoffset),0.0,1.0);float gamma_scale=gl_Position.w;vec2 fade_opacity=unpack_opacity(a_fade_opacity);float fade_change=fade_opacity[1] > 0.5 ? u_fade_change :-u_fade_change;float interpolated_fade_opacity=max(0.0,min(1.0,fade_opacity[0]+fade_change));v_data0=a_tex/u_texsize;v_data1=vec3(gamma_scale,size,interpolated_fade_opacity);}"),br=_r("#define SDF_PX 8.0\n#define SDF 1.0\n#define ICON 0.0\nuniform bool u_is_halo;uniform sampler2D u_texture;uniform sampler2D u_texture_icon;uniform highp float u_gamma_scale;uniform lowp float u_device_pixel_ratio;varying vec4 v_data0;varying vec4 v_data1;\n#pragma mapbox: define highp vec4 fill_color\n#pragma mapbox: define highp vec4 halo_color\n#pragma mapbox: define lowp float opacity\n#pragma mapbox: define lowp float halo_width\n#pragma mapbox: define lowp float halo_blur\nvoid main() {\n#pragma mapbox: initialize highp vec4 fill_color\n#pragma mapbox: initialize highp vec4 halo_color\n#pragma mapbox: initialize lowp float opacity\n#pragma mapbox: initialize lowp float halo_width\n#pragma mapbox: initialize lowp float halo_blur\nfloat fade_opacity=v_data1[2];if (v_data1.w==ICON) {vec2 tex_icon=v_data0.zw;lowp float alpha=opacity*fade_opacity;gl_FragColor=texture2D(u_texture_icon,tex_icon)*alpha;\n#ifdef OVERDRAW_INSPECTOR\ngl_FragColor=vec4(1.0);\n#endif\nreturn;}vec2 tex=v_data0.xy;float EDGE_GAMMA=0.105/u_device_pixel_ratio;float gamma_scale=v_data1.x;float size=v_data1.y;float fontScale=size/24.0;lowp vec4 color=fill_color;highp float gamma=EDGE_GAMMA/(fontScale*u_gamma_scale);lowp float buff=(256.0-64.0)/256.0;if (u_is_halo) {color=halo_color;gamma=(halo_blur*1.19/SDF_PX+EDGE_GAMMA)/(fontScale*u_gamma_scale);buff=(6.0-halo_width/fontScale)/SDF_PX;}lowp float dist=texture2D(u_texture,tex).a;highp float gamma_scaled=gamma*gamma_scale;highp float alpha=smoothstep(buff-gamma_scaled,buff+gamma_scaled,dist);gl_FragColor=color*(alpha*opacity*fade_opacity);\n#ifdef OVERDRAW_INSPECTOR\ngl_FragColor=vec4(1.0);\n#endif\n}","const float PI=3.141592653589793;attribute vec4 a_pos_offset;attribute vec4 a_data;attribute vec3 a_projected_pos;attribute float a_fade_opacity;uniform bool u_is_size_zoom_constant;uniform bool u_is_size_feature_constant;uniform highp float u_size_t;uniform highp float u_size;uniform mat4 u_matrix;uniform mat4 u_label_plane_matrix;uniform mat4 u_coord_matrix;uniform bool u_is_text;uniform bool u_pitch_with_map;uniform highp float u_pitch;uniform bool u_rotate_symbol;uniform highp float u_aspect_ratio;uniform highp float u_camera_to_center_distance;uniform float u_fade_change;uniform vec2 u_texsize;uniform vec2 u_texsize_icon;varying vec4 v_data0;varying vec4 v_data1;\n#pragma mapbox: define highp vec4 fill_color\n#pragma mapbox: define highp vec4 halo_color\n#pragma mapbox: define lowp float opacity\n#pragma mapbox: define lowp float halo_width\n#pragma mapbox: define lowp float halo_blur\nvoid main() {\n#pragma mapbox: initialize highp vec4 fill_color\n#pragma mapbox: initialize highp vec4 halo_color\n#pragma mapbox: initialize lowp float opacity\n#pragma mapbox: initialize lowp float halo_width\n#pragma mapbox: initialize lowp float halo_blur\nvec2 a_pos=a_pos_offset.xy;vec2 a_offset=a_pos_offset.zw;vec2 a_tex=a_data.xy;vec2 a_size=a_data.zw;float a_size_min=floor(a_size[0]*0.5);float is_sdf=a_size[0]-2.0*a_size_min;highp float segment_angle=-a_projected_pos[2];float size;if (!u_is_size_zoom_constant && !u_is_size_feature_constant) {size=mix(a_size_min,a_size[1],u_size_t)/128.0;} else if (u_is_size_zoom_constant && !u_is_size_feature_constant) {size=a_size_min/128.0;} else {size=u_size;}vec4 projectedPoint=u_matrix*vec4(a_pos,0,1);highp float camera_to_anchor_distance=projectedPoint.w;highp float distance_ratio=u_pitch_with_map ?\ncamera_to_anchor_distance/u_camera_to_center_distance :\nu_camera_to_center_distance/camera_to_anchor_distance;highp float perspective_ratio=clamp(0.5+0.5*distance_ratio,0.0,4.0);size*=perspective_ratio;float fontScale=size/24.0;highp float symbol_rotation=0.0;if (u_rotate_symbol) {vec4 offsetProjectedPoint=u_matrix*vec4(a_pos+vec2(1,0),0,1);vec2 a=projectedPoint.xy/projectedPoint.w;vec2 b=offsetProjectedPoint.xy/offsetProjectedPoint.w;symbol_rotation=atan((b.y-a.y)/u_aspect_ratio,b.x-a.x);}highp float angle_sin=sin(segment_angle+symbol_rotation);highp float angle_cos=cos(segment_angle+symbol_rotation);mat2 rotation_matrix=mat2(angle_cos,-1.0*angle_sin,angle_sin,angle_cos);vec4 projected_pos=u_label_plane_matrix*vec4(a_projected_pos.xy,0.0,1.0);gl_Position=u_coord_matrix*vec4(projected_pos.xy/projected_pos.w+rotation_matrix*(a_offset/32.0*fontScale),0.0,1.0);float gamma_scale=gl_Position.w;vec2 fade_opacity=unpack_opacity(a_fade_opacity);float fade_change=fade_opacity[1] > 0.5 ? u_fade_change :-u_fade_change;float interpolated_fade_opacity=max(0.0,min(1.0,fade_opacity[0]+fade_change));v_data0.xy=a_tex/u_texsize;v_data0.zw=a_tex/u_texsize_icon;v_data1=vec4(gamma_scale,size,interpolated_fade_opacity,is_sdf);}");function _r(t,e){var r=/#pragma mapbox: ([\w]+) ([\w]+) ([\w]+) ([\w]+)/g,n=e.match(/attribute ([\w]+) ([\w]+)/g),i=t.match(/uniform ([\w]+) ([\w]+)([\s]*)([\w]*)/g),a=e.match(/uniform ([\w]+) ([\w]+)([\s]*)([\w]*)/g),o=a?a.concat(i):i,s={};return{fragmentSource:t=t.replace(r,(function(t,e,r,n,i){return s[i]=!0,"define"===e?"\n#ifndef HAS_UNIFORM_u_"+i+"\nvarying "+r+" "+n+" "+i+";\n#else\nuniform "+r+" "+n+" u_"+i+";\n#endif\n":"\n#ifdef HAS_UNIFORM_u_"+i+"\n "+r+" "+n+" "+i+" = u_"+i+";\n#endif\n"})),vertexSource:e=e.replace(r,(function(t,e,r,n,i){var a="float"===n?"vec2":"vec4",o=i.match(/color/)?"color":a;return s[i]?"define"===e?"\n#ifndef HAS_UNIFORM_u_"+i+"\nuniform lowp float u_"+i+"_t;\nattribute "+r+" "+a+" a_"+i+";\nvarying "+r+" "+n+" "+i+";\n#else\nuniform "+r+" "+n+" u_"+i+";\n#endif\n":"vec4"===o?"\n#ifndef HAS_UNIFORM_u_"+i+"\n "+i+" = a_"+i+";\n#else\n "+r+" "+n+" "+i+" = u_"+i+";\n#endif\n":"\n#ifndef HAS_UNIFORM_u_"+i+"\n "+i+" = unpack_mix_"+o+"(a_"+i+", u_"+i+"_t);\n#else\n "+r+" "+n+" "+i+" = u_"+i+";\n#endif\n":"define"===e?"\n#ifndef HAS_UNIFORM_u_"+i+"\nuniform lowp float u_"+i+"_t;\nattribute "+r+" "+a+" a_"+i+";\n#else\nuniform "+r+" "+n+" u_"+i+";\n#endif\n":"vec4"===o?"\n#ifndef HAS_UNIFORM_u_"+i+"\n "+r+" "+n+" "+i+" = a_"+i+";\n#else\n "+r+" "+n+" "+i+" = u_"+i+";\n#endif\n":"\n#ifndef HAS_UNIFORM_u_"+i+"\n "+r+" "+n+" "+i+" = unpack_mix_"+o+"(a_"+i+", u_"+i+"_t);\n#else\n "+r+" "+n+" "+i+" = u_"+i+";\n#endif\n"})),staticAttributes:n,staticUniforms:o}}var wr=Object.freeze({__proto__:null,prelude:Ze,background:Ke,backgroundPattern:Je,circle:$e,clippingMask:Qe,heatmap:tr,heatmapTexture:er,collisionBox:rr,collisionCircle:nr,debug:ir,fill:ar,fillOutline:or,fillOutlinePattern:sr,fillPattern:lr,fillExtrusion:ur,fillExtrusionPattern:cr,hillshadePrepare:fr,hillshade:hr,line:pr,lineGradient:dr,linePattern:vr,lineSDF:gr,raster:yr,symbolIcon:mr,symbolSDF:xr,symbolTextAndIcon:br}),Tr=function(){this.boundProgram=null,this.boundLayoutVertexBuffer=null,this.boundPaintVertexBuffers=[],this.boundIndexBuffer=null,this.boundVertexOffset=null,this.boundDynamicVertexBuffer=null,this.vao=null};function kr(t){for(var e=[],r=0;r>16,s>>16],u_pixel_coord_lower:[65535&o,65535&s]}}Ar.prototype.draw=function(t,e,r,n,i,a,o,s,l,u,c,f,h,p,d,v){var g,y=t.gl;if(!this.failedToCreate){for(var m in t.program.set(this.program),t.setDepthMode(r),t.setStencilMode(n),t.setColorMode(i),t.setCullFace(a),this.fixedUniforms)this.fixedUniforms[m].set(o[m]);p&&p.setUniforms(t,this.binderUniforms,f,{zoom:h});for(var x=(g={},g[y.LINES]=2,g[y.TRIANGLES]=3,g[y.LINE_STRIP]=1,g)[e],b=0,_=c.get();b<_.length;b+=1){var w=_[b],T=w.vaos||(w.vaos={});(T[s]||(T[s]=new Tr)).bind(t,this,l,p?p.getPaintVertexBuffers():[],u,w.vertexOffset,d,v),y.drawElements(e,w.primitiveLength*x,y.UNSIGNED_SHORT,w.primitiveOffset*x*2)}}};var Sr=function(e,r,n,i){var a=r.style.light,o=a.properties.get("position"),s=[o.x,o.y,o.z],l=t.create$1();"viewport"===a.properties.get("anchor")&&t.fromRotation(l,-r.transform.angle),t.transformMat3(s,s,l);var u=a.properties.get("color");return{u_matrix:e,u_lightpos:s,u_lightintensity:a.properties.get("intensity"),u_lightcolor:[u.r,u.g,u.b],u_vertical_gradient:+n,u_opacity:i}},Er=function(e,r,n,i,a,o,s){return t.extend(Sr(e,r,n,i),Mr(o,r,s),{u_height_factor:-Math.pow(2,a.overscaledZ)/s.tileSize/8})},Lr=function(t){return{u_matrix:t}},Cr=function(e,r,n,i){return t.extend(Lr(e),Mr(n,r,i))},Pr=function(t,e){return{u_matrix:t,u_world:e}},Or=function(e,r,n,i,a){return t.extend(Cr(e,r,n,i),{u_world:a})},Ir=function(e,r,n,i){var a,o,s=e.transform;if("map"===i.paint.get("circle-pitch-alignment")){var l=ge(n,1,s.zoom);a=!0,o=[l,l]}else a=!1,o=s.pixelsToGLUnits;return{u_camera_to_center_distance:s.cameraToCenterDistance,u_scale_with_map:+("map"===i.paint.get("circle-pitch-scale")),u_matrix:e.translatePosMatrix(r.posMatrix,n,i.paint.get("circle-translate"),i.paint.get("circle-translate-anchor")),u_pitch_with_map:+a,u_device_pixel_ratio:t.browser.devicePixelRatio,u_extrude_scale:o}},Dr=function(t,e,r){var n=ge(r,1,e.zoom),i=Math.pow(2,e.zoom-r.tileID.overscaledZ),a=r.tileID.overscaleFactor();return{u_matrix:t,u_camera_to_center_distance:e.cameraToCenterDistance,u_pixels_to_tile_units:n,u_extrude_scale:[e.pixelsToGLUnits[0]/(n*i),e.pixelsToGLUnits[1]/(n*i)],u_overscale_factor:a}},zr=function(t,e,r){return{u_matrix:t,u_inv_matrix:e,u_camera_to_center_distance:r.cameraToCenterDistance,u_viewport_size:[r.width,r.height]}},Rr=function(t,e,r){return void 0===r&&(r=1),{u_matrix:t,u_color:e,u_overlay:0,u_overlay_scale:r}},Fr=function(t){return{u_matrix:t}},Br=function(t,e,r,n){return{u_matrix:t,u_extrude_scale:ge(e,1,r),u_intensity:n}},Nr=function(e,r,n,i){var a=t.create();t.ortho(a,0,e.width,e.height,0,0,1);var o=e.context.gl;return{u_matrix:a,u_world:[o.drawingBufferWidth,o.drawingBufferHeight],u_image:n,u_color_ramp:i,u_opacity:r.paint.get("heatmap-opacity")}},jr=function(e,r,n){var i=n.paint.get("hillshade-shadow-color"),a=n.paint.get("hillshade-highlight-color"),o=n.paint.get("hillshade-accent-color"),s=n.paint.get("hillshade-illumination-direction")*(Math.PI/180);"viewport"===n.paint.get("hillshade-illumination-anchor")&&(s-=e.transform.angle);var l,u,c,f=!e.options.moving;return{u_matrix:e.transform.calculatePosMatrix(r.tileID.toUnwrapped(),f),u_image:0,u_latrange:(l=r.tileID,u=Math.pow(2,l.canonical.z),c=l.canonical.y,[new t.MercatorCoordinate(0,c/u).toLngLat().lat,new t.MercatorCoordinate(0,(c+1)/u).toLngLat().lat]),u_light:[n.paint.get("hillshade-exaggeration"),s],u_shadow:i,u_highlight:a,u_accent:o}},Ur=function(e,r){var n=r.stride,i=t.create();return t.ortho(i,0,t.EXTENT,-t.EXTENT,0,0,1),t.translate(i,i,[0,-t.EXTENT,0]),{u_matrix:i,u_image:1,u_dimension:[n,n],u_zoom:e.overscaledZ,u_unpack:r.getUnpackVector()}};var Vr=function(e,r,n){var i=e.transform;return{u_matrix:Yr(e,r,n),u_ratio:1/ge(r,1,i.zoom),u_device_pixel_ratio:t.browser.devicePixelRatio,u_units_to_pixels:[1/i.pixelsToGLUnits[0],1/i.pixelsToGLUnits[1]]}},qr=function(e,r,n,i){return t.extend(Vr(e,r,n),{u_image:0,u_image_height:i})},Hr=function(e,r,n,i){var a=e.transform,o=Wr(r,a);return{u_matrix:Yr(e,r,n),u_texsize:r.imageAtlasTexture.size,u_ratio:1/ge(r,1,a.zoom),u_device_pixel_ratio:t.browser.devicePixelRatio,u_image:0,u_scale:[o,i.fromScale,i.toScale],u_fade:i.t,u_units_to_pixels:[1/a.pixelsToGLUnits[0],1/a.pixelsToGLUnits[1]]}},Gr=function(e,r,n,i,a){var o=e.transform,s=e.lineAtlas,l=Wr(r,o),u="round"===n.layout.get("line-cap"),c=s.getDash(i.from,u),f=s.getDash(i.to,u),h=c.width*a.fromScale,p=f.width*a.toScale;return t.extend(Vr(e,r,n),{u_patternscale_a:[l/h,-c.height/2],u_patternscale_b:[l/p,-f.height/2],u_sdfgamma:s.width/(256*Math.min(h,p)*t.browser.devicePixelRatio)/2,u_image:0,u_tex_y_a:c.y,u_tex_y_b:f.y,u_mix:a.t})};function Wr(t,e){return 1/ge(t,1,e.tileZoom)}function Yr(t,e,r){return t.translatePosMatrix(e.tileID.posMatrix,e,r.paint.get("line-translate"),r.paint.get("line-translate-anchor"))}var Xr=function(t,e,r,n,i){return{u_matrix:t,u_tl_parent:e,u_scale_parent:r,u_buffer_scale:1,u_fade_t:n.mix,u_opacity:n.opacity*i.paint.get("raster-opacity"),u_image0:0,u_image1:1,u_brightness_low:i.paint.get("raster-brightness-min"),u_brightness_high:i.paint.get("raster-brightness-max"),u_saturation_factor:(o=i.paint.get("raster-saturation"),o>0?1-1/(1.001-o):-o),u_contrast_factor:(a=i.paint.get("raster-contrast"),a>0?1/(1-a):1+a),u_spin_weights:Zr(i.paint.get("raster-hue-rotate"))};var a,o};function Zr(t){t*=Math.PI/180;var e=Math.sin(t),r=Math.cos(t);return[(2*r+1)/3,(-Math.sqrt(3)*e-r+1)/3,(Math.sqrt(3)*e-r+1)/3]}var Kr,Jr=function(t,e,r,n,i,a,o,s,l,u){var c=i.transform;return{u_is_size_zoom_constant:+("constant"===t||"source"===t),u_is_size_feature_constant:+("constant"===t||"camera"===t),u_size_t:e?e.uSizeT:0,u_size:e?e.uSize:0,u_camera_to_center_distance:c.cameraToCenterDistance,u_pitch:c.pitch/360*2*Math.PI,u_rotate_symbol:+r,u_aspect_ratio:c.width/c.height,u_fade_change:i.options.fadeDuration?i.symbolFadeChange:1,u_matrix:a,u_label_plane_matrix:o,u_coord_matrix:s,u_is_text:+l,u_pitch_with_map:+n,u_texsize:u,u_texture:0}},$r=function(e,r,n,i,a,o,s,l,u,c,f){var h=a.transform;return t.extend(Jr(e,r,n,i,a,o,s,l,u,c),{u_gamma_scale:i?Math.cos(h._pitch)*h.cameraToCenterDistance:1,u_device_pixel_ratio:t.browser.devicePixelRatio,u_is_halo:+f})},Qr=function(e,r,n,i,a,o,s,l,u,c){return t.extend($r(e,r,n,i,a,o,s,l,!0,u,!0),{u_texsize_icon:c,u_texture_icon:1})},tn=function(t,e,r){return{u_matrix:t,u_opacity:e,u_color:r}},en=function(e,r,n,i,a,o){return t.extend(function(t,e,r,n){var i=r.imageManager.getPattern(t.from.toString()),a=r.imageManager.getPattern(t.to.toString()),o=r.imageManager.getPixelSize(),s=o.width,l=o.height,u=Math.pow(2,n.tileID.overscaledZ),c=n.tileSize*Math.pow(2,r.transform.tileZoom)/u,f=c*(n.tileID.canonical.x+n.tileID.wrap*u),h=c*n.tileID.canonical.y;return{u_image:0,u_pattern_tl_a:i.tl,u_pattern_br_a:i.br,u_pattern_tl_b:a.tl,u_pattern_br_b:a.br,u_texsize:[s,l],u_mix:e.t,u_pattern_size_a:i.displaySize,u_pattern_size_b:a.displaySize,u_scale_a:e.fromScale,u_scale_b:e.toScale,u_tile_units_to_pixels:1/ge(n,1,r.transform.tileZoom),u_pixel_coord_upper:[f>>16,h>>16],u_pixel_coord_lower:[65535&f,65535&h]}}(i,o,n,a),{u_matrix:e,u_opacity:r})},rn={fillExtrusion:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_lightpos:new t.Uniform3f(e,r.u_lightpos),u_lightintensity:new t.Uniform1f(e,r.u_lightintensity),u_lightcolor:new t.Uniform3f(e,r.u_lightcolor),u_vertical_gradient:new t.Uniform1f(e,r.u_vertical_gradient),u_opacity:new t.Uniform1f(e,r.u_opacity)}},fillExtrusionPattern:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_lightpos:new t.Uniform3f(e,r.u_lightpos),u_lightintensity:new t.Uniform1f(e,r.u_lightintensity),u_lightcolor:new t.Uniform3f(e,r.u_lightcolor),u_vertical_gradient:new t.Uniform1f(e,r.u_vertical_gradient),u_height_factor:new t.Uniform1f(e,r.u_height_factor),u_image:new t.Uniform1i(e,r.u_image),u_texsize:new t.Uniform2f(e,r.u_texsize),u_pixel_coord_upper:new t.Uniform2f(e,r.u_pixel_coord_upper),u_pixel_coord_lower:new t.Uniform2f(e,r.u_pixel_coord_lower),u_scale:new t.Uniform3f(e,r.u_scale),u_fade:new t.Uniform1f(e,r.u_fade),u_opacity:new t.Uniform1f(e,r.u_opacity)}},fill:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix)}},fillPattern:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_image:new t.Uniform1i(e,r.u_image),u_texsize:new t.Uniform2f(e,r.u_texsize),u_pixel_coord_upper:new t.Uniform2f(e,r.u_pixel_coord_upper),u_pixel_coord_lower:new t.Uniform2f(e,r.u_pixel_coord_lower),u_scale:new t.Uniform3f(e,r.u_scale),u_fade:new t.Uniform1f(e,r.u_fade)}},fillOutline:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_world:new t.Uniform2f(e,r.u_world)}},fillOutlinePattern:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_world:new t.Uniform2f(e,r.u_world),u_image:new t.Uniform1i(e,r.u_image),u_texsize:new t.Uniform2f(e,r.u_texsize),u_pixel_coord_upper:new t.Uniform2f(e,r.u_pixel_coord_upper),u_pixel_coord_lower:new t.Uniform2f(e,r.u_pixel_coord_lower),u_scale:new t.Uniform3f(e,r.u_scale),u_fade:new t.Uniform1f(e,r.u_fade)}},circle:function(e,r){return{u_camera_to_center_distance:new t.Uniform1f(e,r.u_camera_to_center_distance),u_scale_with_map:new t.Uniform1i(e,r.u_scale_with_map),u_pitch_with_map:new t.Uniform1i(e,r.u_pitch_with_map),u_extrude_scale:new t.Uniform2f(e,r.u_extrude_scale),u_device_pixel_ratio:new t.Uniform1f(e,r.u_device_pixel_ratio),u_matrix:new t.UniformMatrix4f(e,r.u_matrix)}},collisionBox:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_camera_to_center_distance:new t.Uniform1f(e,r.u_camera_to_center_distance),u_pixels_to_tile_units:new t.Uniform1f(e,r.u_pixels_to_tile_units),u_extrude_scale:new t.Uniform2f(e,r.u_extrude_scale),u_overscale_factor:new t.Uniform1f(e,r.u_overscale_factor)}},collisionCircle:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_inv_matrix:new t.UniformMatrix4f(e,r.u_inv_matrix),u_camera_to_center_distance:new t.Uniform1f(e,r.u_camera_to_center_distance),u_viewport_size:new t.Uniform2f(e,r.u_viewport_size)}},debug:function(e,r){return{u_color:new t.UniformColor(e,r.u_color),u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_overlay:new t.Uniform1i(e,r.u_overlay),u_overlay_scale:new t.Uniform1f(e,r.u_overlay_scale)}},clippingMask:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix)}},heatmap:function(e,r){return{u_extrude_scale:new t.Uniform1f(e,r.u_extrude_scale),u_intensity:new t.Uniform1f(e,r.u_intensity),u_matrix:new t.UniformMatrix4f(e,r.u_matrix)}},heatmapTexture:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_world:new t.Uniform2f(e,r.u_world),u_image:new t.Uniform1i(e,r.u_image),u_color_ramp:new t.Uniform1i(e,r.u_color_ramp),u_opacity:new t.Uniform1f(e,r.u_opacity)}},hillshade:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_image:new t.Uniform1i(e,r.u_image),u_latrange:new t.Uniform2f(e,r.u_latrange),u_light:new t.Uniform2f(e,r.u_light),u_shadow:new t.UniformColor(e,r.u_shadow),u_highlight:new t.UniformColor(e,r.u_highlight),u_accent:new t.UniformColor(e,r.u_accent)}},hillshadePrepare:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_image:new t.Uniform1i(e,r.u_image),u_dimension:new t.Uniform2f(e,r.u_dimension),u_zoom:new t.Uniform1f(e,r.u_zoom),u_unpack:new t.Uniform4f(e,r.u_unpack)}},line:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_ratio:new t.Uniform1f(e,r.u_ratio),u_device_pixel_ratio:new t.Uniform1f(e,r.u_device_pixel_ratio),u_units_to_pixels:new t.Uniform2f(e,r.u_units_to_pixels)}},lineGradient:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_ratio:new t.Uniform1f(e,r.u_ratio),u_device_pixel_ratio:new t.Uniform1f(e,r.u_device_pixel_ratio),u_units_to_pixels:new t.Uniform2f(e,r.u_units_to_pixels),u_image:new t.Uniform1i(e,r.u_image),u_image_height:new t.Uniform1f(e,r.u_image_height)}},linePattern:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_texsize:new t.Uniform2f(e,r.u_texsize),u_ratio:new t.Uniform1f(e,r.u_ratio),u_device_pixel_ratio:new t.Uniform1f(e,r.u_device_pixel_ratio),u_image:new t.Uniform1i(e,r.u_image),u_units_to_pixels:new t.Uniform2f(e,r.u_units_to_pixels),u_scale:new t.Uniform3f(e,r.u_scale),u_fade:new t.Uniform1f(e,r.u_fade)}},lineSDF:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_ratio:new t.Uniform1f(e,r.u_ratio),u_device_pixel_ratio:new t.Uniform1f(e,r.u_device_pixel_ratio),u_units_to_pixels:new t.Uniform2f(e,r.u_units_to_pixels),u_patternscale_a:new t.Uniform2f(e,r.u_patternscale_a),u_patternscale_b:new t.Uniform2f(e,r.u_patternscale_b),u_sdfgamma:new t.Uniform1f(e,r.u_sdfgamma),u_image:new t.Uniform1i(e,r.u_image),u_tex_y_a:new t.Uniform1f(e,r.u_tex_y_a),u_tex_y_b:new t.Uniform1f(e,r.u_tex_y_b),u_mix:new t.Uniform1f(e,r.u_mix)}},raster:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_tl_parent:new t.Uniform2f(e,r.u_tl_parent),u_scale_parent:new t.Uniform1f(e,r.u_scale_parent),u_buffer_scale:new t.Uniform1f(e,r.u_buffer_scale),u_fade_t:new t.Uniform1f(e,r.u_fade_t),u_opacity:new t.Uniform1f(e,r.u_opacity),u_image0:new t.Uniform1i(e,r.u_image0),u_image1:new t.Uniform1i(e,r.u_image1),u_brightness_low:new t.Uniform1f(e,r.u_brightness_low),u_brightness_high:new t.Uniform1f(e,r.u_brightness_high),u_saturation_factor:new t.Uniform1f(e,r.u_saturation_factor),u_contrast_factor:new t.Uniform1f(e,r.u_contrast_factor),u_spin_weights:new t.Uniform3f(e,r.u_spin_weights)}},symbolIcon:function(e,r){return{u_is_size_zoom_constant:new t.Uniform1i(e,r.u_is_size_zoom_constant),u_is_size_feature_constant:new t.Uniform1i(e,r.u_is_size_feature_constant),u_size_t:new t.Uniform1f(e,r.u_size_t),u_size:new t.Uniform1f(e,r.u_size),u_camera_to_center_distance:new t.Uniform1f(e,r.u_camera_to_center_distance),u_pitch:new t.Uniform1f(e,r.u_pitch),u_rotate_symbol:new t.Uniform1i(e,r.u_rotate_symbol),u_aspect_ratio:new t.Uniform1f(e,r.u_aspect_ratio),u_fade_change:new t.Uniform1f(e,r.u_fade_change),u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_label_plane_matrix:new t.UniformMatrix4f(e,r.u_label_plane_matrix),u_coord_matrix:new t.UniformMatrix4f(e,r.u_coord_matrix),u_is_text:new t.Uniform1i(e,r.u_is_text),u_pitch_with_map:new t.Uniform1i(e,r.u_pitch_with_map),u_texsize:new t.Uniform2f(e,r.u_texsize),u_texture:new t.Uniform1i(e,r.u_texture)}},symbolSDF:function(e,r){return{u_is_size_zoom_constant:new t.Uniform1i(e,r.u_is_size_zoom_constant),u_is_size_feature_constant:new t.Uniform1i(e,r.u_is_size_feature_constant),u_size_t:new t.Uniform1f(e,r.u_size_t),u_size:new t.Uniform1f(e,r.u_size),u_camera_to_center_distance:new t.Uniform1f(e,r.u_camera_to_center_distance),u_pitch:new t.Uniform1f(e,r.u_pitch),u_rotate_symbol:new t.Uniform1i(e,r.u_rotate_symbol),u_aspect_ratio:new t.Uniform1f(e,r.u_aspect_ratio),u_fade_change:new t.Uniform1f(e,r.u_fade_change),u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_label_plane_matrix:new t.UniformMatrix4f(e,r.u_label_plane_matrix),u_coord_matrix:new t.UniformMatrix4f(e,r.u_coord_matrix),u_is_text:new t.Uniform1i(e,r.u_is_text),u_pitch_with_map:new t.Uniform1i(e,r.u_pitch_with_map),u_texsize:new t.Uniform2f(e,r.u_texsize),u_texture:new t.Uniform1i(e,r.u_texture),u_gamma_scale:new t.Uniform1f(e,r.u_gamma_scale),u_device_pixel_ratio:new t.Uniform1f(e,r.u_device_pixel_ratio),u_is_halo:new t.Uniform1i(e,r.u_is_halo)}},symbolTextAndIcon:function(e,r){return{u_is_size_zoom_constant:new t.Uniform1i(e,r.u_is_size_zoom_constant),u_is_size_feature_constant:new t.Uniform1i(e,r.u_is_size_feature_constant),u_size_t:new t.Uniform1f(e,r.u_size_t),u_size:new t.Uniform1f(e,r.u_size),u_camera_to_center_distance:new t.Uniform1f(e,r.u_camera_to_center_distance),u_pitch:new t.Uniform1f(e,r.u_pitch),u_rotate_symbol:new t.Uniform1i(e,r.u_rotate_symbol),u_aspect_ratio:new t.Uniform1f(e,r.u_aspect_ratio),u_fade_change:new t.Uniform1f(e,r.u_fade_change),u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_label_plane_matrix:new t.UniformMatrix4f(e,r.u_label_plane_matrix),u_coord_matrix:new t.UniformMatrix4f(e,r.u_coord_matrix),u_is_text:new t.Uniform1i(e,r.u_is_text),u_pitch_with_map:new t.Uniform1i(e,r.u_pitch_with_map),u_texsize:new t.Uniform2f(e,r.u_texsize),u_texsize_icon:new t.Uniform2f(e,r.u_texsize_icon),u_texture:new t.Uniform1i(e,r.u_texture),u_texture_icon:new t.Uniform1i(e,r.u_texture_icon),u_gamma_scale:new t.Uniform1f(e,r.u_gamma_scale),u_device_pixel_ratio:new t.Uniform1f(e,r.u_device_pixel_ratio),u_is_halo:new t.Uniform1i(e,r.u_is_halo)}},background:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_opacity:new t.Uniform1f(e,r.u_opacity),u_color:new t.UniformColor(e,r.u_color)}},backgroundPattern:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_opacity:new t.Uniform1f(e,r.u_opacity),u_image:new t.Uniform1i(e,r.u_image),u_pattern_tl_a:new t.Uniform2f(e,r.u_pattern_tl_a),u_pattern_br_a:new t.Uniform2f(e,r.u_pattern_br_a),u_pattern_tl_b:new t.Uniform2f(e,r.u_pattern_tl_b),u_pattern_br_b:new t.Uniform2f(e,r.u_pattern_br_b),u_texsize:new t.Uniform2f(e,r.u_texsize),u_mix:new t.Uniform1f(e,r.u_mix),u_pattern_size_a:new t.Uniform2f(e,r.u_pattern_size_a),u_pattern_size_b:new t.Uniform2f(e,r.u_pattern_size_b),u_scale_a:new t.Uniform1f(e,r.u_scale_a),u_scale_b:new t.Uniform1f(e,r.u_scale_b),u_pixel_coord_upper:new t.Uniform2f(e,r.u_pixel_coord_upper),u_pixel_coord_lower:new t.Uniform2f(e,r.u_pixel_coord_lower),u_tile_units_to_pixels:new t.Uniform1f(e,r.u_tile_units_to_pixels)}}};function nn(e,r,n,i,a,o,s){for(var l=e.context,u=l.gl,c=e.useProgram("collisionBox"),f=[],h=0,p=0,d=0;d0){var _=t.create(),w=m;t.mul(_,y.placementInvProjMatrix,e.transform.glCoordMatrix),t.mul(_,_,y.placementViewportMatrix),f.push({circleArray:b,circleOffset:p,transform:w,invTransform:_}),p=h+=b.length/4}x&&c.draw(l,u.LINES,Mt.disabled,Et.disabled,e.colorModeForRenderPass(),Ct.disabled,Dr(m,e.transform,g),n.id,x.layoutVertexBuffer,x.indexBuffer,x.segments,null,e.transform.zoom,null,null,x.collisionVertexBuffer)}}if(s&&f.length){var T=e.useProgram("collisionCircle"),k=new t.StructArrayLayout2f1f2i16;k.resize(4*h),k._trim();for(var A=0,M=0,S=f;M=0&&(v[y.associatedIconIndex]={shiftedAnchor:S,angle:E})}else he(y.numGlyphs,p)}if(f){d.clear();for(var C=e.icon.placedSymbolArray,P=0;P0){var s=t.browser.now(),l=(s-e.timeAdded)/o,u=r?(s-r.timeAdded)/o:-1,c=n.getSource(),f=a.coveringZoomLevel({tileSize:c.tileSize,roundZoom:c.roundZoom}),h=!r||Math.abs(r.tileID.overscaledZ-f)>Math.abs(e.tileID.overscaledZ-f),p=h&&e.refreshedUponExpiration?1:t.clamp(h?l:1-u,0,1);return e.refreshedUponExpiration&&l>=1&&(e.refreshedUponExpiration=!1),r?{opacity:1,mix:1-p}:{opacity:p,mix:0}}return{opacity:1,mix:0}}var gn=new t.Color(1,0,0,1),yn=new t.Color(0,1,0,1),mn=new t.Color(0,0,1,1),xn=new t.Color(1,0,1,1),bn=new t.Color(0,1,1,1);function _n(t){var e=t.transform.padding;wn(t,t.transform.height-(e.top||0),3,gn),wn(t,e.bottom||0,3,yn),Tn(t,e.left||0,3,mn),Tn(t,t.transform.width-(e.right||0),3,xn);var r=t.transform.centerPoint;!function(t,e,r,n){var i=20,a=2;kn(t,e-a/2,r-i/2,a,i,n),kn(t,e-i/2,r-a/2,i,a,n)}(t,r.x,t.transform.height-r.y,bn)}function wn(t,e,r,n){kn(t,0,e+r/2,t.transform.width,r,n)}function Tn(t,e,r,n){kn(t,e-r/2,0,r,t.transform.height,n)}function kn(e,r,n,i,a,o){var s=e.context,l=s.gl;l.enable(l.SCISSOR_TEST),l.scissor(r*t.browser.devicePixelRatio,n*t.browser.devicePixelRatio,i*t.browser.devicePixelRatio,a*t.browser.devicePixelRatio),s.clear({color:o}),l.disable(l.SCISSOR_TEST)}function An(e,r,n){var i=e.context,a=i.gl,o=n.posMatrix,s=e.useProgram("debug"),l=Mt.disabled,u=Et.disabled,c=e.colorModeForRenderPass(),f="$debug";i.activeTexture.set(a.TEXTURE0),e.emptyTexture.bind(a.LINEAR,a.CLAMP_TO_EDGE),s.draw(i,a.LINE_STRIP,l,u,c,Ct.disabled,Rr(o,t.Color.red),f,e.debugBuffer,e.tileBorderIndexBuffer,e.debugSegments);var h=r.getTileByID(n.key).latestRawTileData,p=h&&h.byteLength||0,d=Math.floor(p/1024),v=r.getTile(n).tileSize,g=512/Math.min(v,512)*(n.overscaledZ/e.transform.zoom)*.5,y=n.canonical.toString();n.overscaledZ!==n.canonical.z&&(y+=" => "+n.overscaledZ),function(t,e){t.initDebugOverlayCanvas();var r=t.debugOverlayCanvas,n=t.context.gl,i=t.debugOverlayCanvas.getContext("2d");i.clearRect(0,0,r.width,r.height),i.shadowColor="white",i.shadowBlur=2,i.lineWidth=1.5,i.strokeStyle="white",i.textBaseline="top",i.font="bold 36px Open Sans, sans-serif",i.fillText(e,5,5),i.strokeText(e,5,5),t.debugOverlayTexture.update(r),t.debugOverlayTexture.bind(n.LINEAR,n.CLAMP_TO_EDGE)}(e,y+" "+d+"kb"),s.draw(i,a.TRIANGLES,l,u,Lt.alphaBlended,Ct.disabled,Rr(o,t.Color.transparent,g),f,e.debugBuffer,e.quadTriangleIndexBuffer,e.debugSegments)}var Mn={symbol:function(e,r,n,i,a){if("translucent"===e.renderPass){var o=Et.disabled,s=e.colorModeForRenderPass();n.layout.get("text-variable-anchor")&&function(e,r,n,i,a,o,s){for(var l=r.transform,u="map"===a,c="map"===o,f=0,h=e;f256&&this.clearStencil(),r.setColorMode(Lt.disabled),r.setDepthMode(Mt.disabled);var i=this.useProgram("clippingMask");this._tileClippingMaskIDs={};for(var a=0,o=e;a256&&this.clearStencil();var t=this.nextStencilID++,e=this.context.gl;return new Et({func:e.NOTEQUAL,mask:255},t,255,e.KEEP,e.KEEP,e.REPLACE)},Sn.prototype.stencilModeForClipping=function(t){var e=this.context.gl;return new Et({func:e.EQUAL,mask:255},this._tileClippingMaskIDs[t.key],0,e.KEEP,e.KEEP,e.REPLACE)},Sn.prototype.stencilConfigForOverlap=function(t){var e,r=this.context.gl,n=t.sort((function(t,e){return e.overscaledZ-t.overscaledZ})),i=n[n.length-1].overscaledZ,a=n[0].overscaledZ-i+1;if(a>1){this.currentStencilSource=void 0,this.nextStencilID+a>256&&this.clearStencil();for(var o={},s=0;s=0;this.currentLayer--){var w=this.style._layers[i[this.currentLayer]],T=a[w.source],k=c[w.source];this._renderTileClippingMasks(w,k),this.renderLayer(this,T,w,k)}for(this.renderPass="translucent",this.currentLayer=0;this.currentLayer0?e.pop():null},Sn.prototype.isPatternMissing=function(t){if(!t)return!1;if(!t.from||!t.to)return!0;var e=this.imageManager.getPattern(t.from.toString()),r=this.imageManager.getPattern(t.to.toString());return!e||!r},Sn.prototype.useProgram=function(t,e){this.cache=this.cache||{};var r=""+t+(e?e.cacheKey:"")+(this._showOverdrawInspector?"/overdraw":"");return this.cache[r]||(this.cache[r]=new Ar(this.context,t,wr[t],e,rn[t],this._showOverdrawInspector)),this.cache[r]},Sn.prototype.setCustomLayerDefaults=function(){this.context.unbindVAO(),this.context.cullFace.setDefault(),this.context.activeTexture.setDefault(),this.context.pixelStoreUnpack.setDefault(),this.context.pixelStoreUnpackPremultiplyAlpha.setDefault(),this.context.pixelStoreUnpackFlipY.setDefault()},Sn.prototype.setBaseState=function(){var t=this.context.gl;this.context.cullFace.set(!1),this.context.viewport.set([0,0,this.width,this.height]),this.context.blendEquation.set(t.FUNC_ADD)},Sn.prototype.initDebugOverlayCanvas=function(){if(null==this.debugOverlayCanvas){this.debugOverlayCanvas=t.window.document.createElement("canvas"),this.debugOverlayCanvas.width=512,this.debugOverlayCanvas.height=512;var e=this.context.gl;this.debugOverlayTexture=new t.Texture(this.context,this.debugOverlayCanvas,e.RGBA)}},Sn.prototype.destroy=function(){this.emptyTexture.destroy(),this.debugOverlayTexture&&this.debugOverlayTexture.destroy()};var En=function(t,e){this.points=t,this.planes=e};En.fromInvProjectionMatrix=function(e,r,n){var i=Math.pow(2,n),a=[[-1,1,-1,1],[1,1,-1,1],[1,-1,-1,1],[-1,-1,-1,1],[-1,1,1,1],[1,1,1,1],[1,-1,1,1],[-1,-1,1,1]].map((function(r){return t.transformMat4([],r,e)})).map((function(e){return t.scale$1([],e,1/e[3]/r*i)})),o=[[0,1,2],[6,5,4],[0,3,7],[2,1,5],[3,2,6],[0,4,5]].map((function(e){var r=t.sub([],a[e[0]],a[e[1]]),n=t.sub([],a[e[2]],a[e[1]]),i=t.normalize([],t.cross([],r,n)),o=-t.dot(i,a[e[1]]);return i.concat(o)}));return new En(a,o)};var Ln=function(e,r){this.min=e,this.max=r,this.center=t.scale$2([],t.add([],this.min,this.max),.5)};Ln.prototype.quadrant=function(e){for(var r=[e%2==0,e<2],n=t.clone$2(this.min),i=t.clone$2(this.max),a=0;a=0;if(0===o)return 0;o!==r.length&&(n=!1)}if(n)return 2;for(var l=0;l<3;l++){for(var u=Number.MAX_VALUE,c=-Number.MAX_VALUE,f=0;fthis.max[l]-this.min[l])return 0}return 1};var Cn=function(t,e,r,n){if(void 0===t&&(t=0),void 0===e&&(e=0),void 0===r&&(r=0),void 0===n&&(n=0),isNaN(t)||t<0||isNaN(e)||e<0||isNaN(r)||r<0||isNaN(n)||n<0)throw new Error("Invalid value for edge-insets, top, bottom, left and right must all be numbers");this.top=t,this.bottom=e,this.left=r,this.right=n};Cn.prototype.interpolate=function(e,r,n){return null!=r.top&&null!=e.top&&(this.top=t.number(e.top,r.top,n)),null!=r.bottom&&null!=e.bottom&&(this.bottom=t.number(e.bottom,r.bottom,n)),null!=r.left&&null!=e.left&&(this.left=t.number(e.left,r.left,n)),null!=r.right&&null!=e.right&&(this.right=t.number(e.right,r.right,n)),this},Cn.prototype.getCenter=function(e,r){var n=t.clamp((this.left+e-this.right)/2,0,e),i=t.clamp((this.top+r-this.bottom)/2,0,r);return new t.Point(n,i)},Cn.prototype.equals=function(t){return this.top===t.top&&this.bottom===t.bottom&&this.left===t.left&&this.right===t.right},Cn.prototype.clone=function(){return new Cn(this.top,this.bottom,this.left,this.right)},Cn.prototype.toJSON=function(){return{top:this.top,bottom:this.bottom,left:this.left,right:this.right}};var Pn=function(e,r,n,i,a){this.tileSize=512,this.maxValidLatitude=85.051129,this._renderWorldCopies=void 0===a||a,this._minZoom=e||0,this._maxZoom=r||22,this._minPitch=null==n?0:n,this._maxPitch=null==i?60:i,this.setMaxBounds(),this.width=0,this.height=0,this._center=new t.LngLat(0,0),this.zoom=0,this.angle=0,this._fov=.6435011087932844,this._pitch=0,this._unmodified=!0,this._edgeInsets=new Cn,this._posMatrixCache={},this._alignedPosMatrixCache={}},On={minZoom:{configurable:!0},maxZoom:{configurable:!0},minPitch:{configurable:!0},maxPitch:{configurable:!0},renderWorldCopies:{configurable:!0},worldSize:{configurable:!0},centerOffset:{configurable:!0},size:{configurable:!0},bearing:{configurable:!0},pitch:{configurable:!0},fov:{configurable:!0},zoom:{configurable:!0},center:{configurable:!0},padding:{configurable:!0},centerPoint:{configurable:!0},unmodified:{configurable:!0},point:{configurable:!0}};Pn.prototype.clone=function(){var t=new Pn(this._minZoom,this._maxZoom,this._minPitch,this.maxPitch,this._renderWorldCopies);return t.tileSize=this.tileSize,t.latRange=this.latRange,t.width=this.width,t.height=this.height,t._center=this._center,t.zoom=this.zoom,t.angle=this.angle,t._fov=this._fov,t._pitch=this._pitch,t._unmodified=this._unmodified,t._edgeInsets=this._edgeInsets.clone(),t._calcMatrices(),t},On.minZoom.get=function(){return this._minZoom},On.minZoom.set=function(t){this._minZoom!==t&&(this._minZoom=t,this.zoom=Math.max(this.zoom,t))},On.maxZoom.get=function(){return this._maxZoom},On.maxZoom.set=function(t){this._maxZoom!==t&&(this._maxZoom=t,this.zoom=Math.min(this.zoom,t))},On.minPitch.get=function(){return this._minPitch},On.minPitch.set=function(t){this._minPitch!==t&&(this._minPitch=t,this.pitch=Math.max(this.pitch,t))},On.maxPitch.get=function(){return this._maxPitch},On.maxPitch.set=function(t){this._maxPitch!==t&&(this._maxPitch=t,this.pitch=Math.min(this.pitch,t))},On.renderWorldCopies.get=function(){return this._renderWorldCopies},On.renderWorldCopies.set=function(t){void 0===t?t=!0:null===t&&(t=!1),this._renderWorldCopies=t},On.worldSize.get=function(){return this.tileSize*this.scale},On.centerOffset.get=function(){return this.centerPoint._sub(this.size._div(2))},On.size.get=function(){return new t.Point(this.width,this.height)},On.bearing.get=function(){return-this.angle/Math.PI*180},On.bearing.set=function(e){var r=-t.wrap(e,-180,180)*Math.PI/180;this.angle!==r&&(this._unmodified=!1,this.angle=r,this._calcMatrices(),this.rotationMatrix=t.create$2(),t.rotate(this.rotationMatrix,this.rotationMatrix,this.angle))},On.pitch.get=function(){return this._pitch/Math.PI*180},On.pitch.set=function(e){var r=t.clamp(e,this.minPitch,this.maxPitch)/180*Math.PI;this._pitch!==r&&(this._unmodified=!1,this._pitch=r,this._calcMatrices())},On.fov.get=function(){return this._fov/Math.PI*180},On.fov.set=function(t){t=Math.max(.01,Math.min(60,t)),this._fov!==t&&(this._unmodified=!1,this._fov=t/180*Math.PI,this._calcMatrices())},On.zoom.get=function(){return this._zoom},On.zoom.set=function(t){var e=Math.min(Math.max(t,this.minZoom),this.maxZoom);this._zoom!==e&&(this._unmodified=!1,this._zoom=e,this.scale=this.zoomScale(e),this.tileZoom=Math.floor(e),this.zoomFraction=e-this.tileZoom,this._constrain(),this._calcMatrices())},On.center.get=function(){return this._center},On.center.set=function(t){t.lat===this._center.lat&&t.lng===this._center.lng||(this._unmodified=!1,this._center=t,this._constrain(),this._calcMatrices())},On.padding.get=function(){return this._edgeInsets.toJSON()},On.padding.set=function(t){this._edgeInsets.equals(t)||(this._unmodified=!1,this._edgeInsets.interpolate(this._edgeInsets,t,1),this._calcMatrices())},On.centerPoint.get=function(){return this._edgeInsets.getCenter(this.width,this.height)},Pn.prototype.isPaddingEqual=function(t){return this._edgeInsets.equals(t)},Pn.prototype.interpolatePadding=function(t,e,r){this._unmodified=!1,this._edgeInsets.interpolate(t,e,r),this._constrain(),this._calcMatrices()},Pn.prototype.coveringZoomLevel=function(t){var e=(t.roundZoom?Math.round:Math.floor)(this.zoom+this.scaleZoom(this.tileSize/t.tileSize));return Math.max(0,e)},Pn.prototype.getVisibleUnwrappedCoordinates=function(e){var r=[new t.UnwrappedTileID(0,e)];if(this._renderWorldCopies)for(var n=this.pointCoordinate(new t.Point(0,0)),i=this.pointCoordinate(new t.Point(this.width,0)),a=this.pointCoordinate(new t.Point(this.width,this.height)),o=this.pointCoordinate(new t.Point(0,this.height)),s=Math.floor(Math.min(n.x,i.x,a.x,o.x)),l=Math.floor(Math.max(n.x,i.x,a.x,o.x)),u=s-1;u<=l+1;u++)0!==u&&r.push(new t.UnwrappedTileID(u,e));return r},Pn.prototype.coveringTiles=function(e){var r=this.coveringZoomLevel(e),n=r;if(void 0!==e.minzoom&&re.maxzoom&&(r=e.maxzoom);var i=t.MercatorCoordinate.fromLngLat(this.center),a=Math.pow(2,r),o=[a*i.x,a*i.y,0],s=En.fromInvProjectionMatrix(this.invProjMatrix,this.worldSize,r),l=e.minzoom||0;this.pitch<=60&&this._edgeInsets.top<.1&&(l=r);var u=function(t){return{aabb:new Ln([t*a,0,0],[(t+1)*a,a,0]),zoom:0,x:0,y:0,wrap:t,fullyVisible:!1}},c=[],f=[],h=r,p=e.reparseOverscaled?n:r;if(this._renderWorldCopies)for(var d=1;d<=3;d++)c.push(u(-d)),c.push(u(d));for(c.push(u(0));c.length>0;){var v=c.pop(),g=v.x,y=v.y,m=v.fullyVisible;if(!m){var x=v.aabb.intersects(s);if(0===x)continue;m=2===x}var b=v.aabb.distanceX(o),_=v.aabb.distanceY(o),w=Math.max(Math.abs(b),Math.abs(_)),T=3+(1<T&&v.zoom>=l)f.push({tileID:new t.OverscaledTileID(v.zoom===h?p:v.zoom,v.wrap,v.zoom,g,y),distanceSq:t.sqrLen([o[0]-.5-g,o[1]-.5-y])});else for(var k=0;k<4;k++){var A=(g<<1)+k%2,M=(y<<1)+(k>>1);c.push({aabb:v.aabb.quadrant(k),zoom:v.zoom+1,x:A,y:M,wrap:v.wrap,fullyVisible:m})}}return f.sort((function(t,e){return t.distanceSq-e.distanceSq})).map((function(t){return t.tileID}))},Pn.prototype.resize=function(t,e){this.width=t,this.height=e,this.pixelsToGLUnits=[2/t,-2/e],this._constrain(),this._calcMatrices()},On.unmodified.get=function(){return this._unmodified},Pn.prototype.zoomScale=function(t){return Math.pow(2,t)},Pn.prototype.scaleZoom=function(t){return Math.log(t)/Math.LN2},Pn.prototype.project=function(e){var r=t.clamp(e.lat,-this.maxValidLatitude,this.maxValidLatitude);return new t.Point(t.mercatorXfromLng(e.lng)*this.worldSize,t.mercatorYfromLat(r)*this.worldSize)},Pn.prototype.unproject=function(e){return new t.MercatorCoordinate(e.x/this.worldSize,e.y/this.worldSize).toLngLat()},On.point.get=function(){return this.project(this.center)},Pn.prototype.setLocationAtPoint=function(e,r){var n=this.pointCoordinate(r),i=this.pointCoordinate(this.centerPoint),a=this.locationCoordinate(e),o=new t.MercatorCoordinate(a.x-(n.x-i.x),a.y-(n.y-i.y));this.center=this.coordinateLocation(o),this._renderWorldCopies&&(this.center=this.center.wrap())},Pn.prototype.locationPoint=function(t){return this.coordinatePoint(this.locationCoordinate(t))},Pn.prototype.pointLocation=function(t){return this.coordinateLocation(this.pointCoordinate(t))},Pn.prototype.locationCoordinate=function(e){return t.MercatorCoordinate.fromLngLat(e)},Pn.prototype.coordinateLocation=function(t){return t.toLngLat()},Pn.prototype.pointCoordinate=function(e){var r=[e.x,e.y,0,1],n=[e.x,e.y,1,1];t.transformMat4(r,r,this.pixelMatrixInverse),t.transformMat4(n,n,this.pixelMatrixInverse);var i=r[3],a=n[3],o=r[0]/i,s=n[0]/a,l=r[1]/i,u=n[1]/a,c=r[2]/i,f=n[2]/a,h=c===f?0:(0-c)/(f-c);return new t.MercatorCoordinate(t.number(o,s,h)/this.worldSize,t.number(l,u,h)/this.worldSize)},Pn.prototype.coordinatePoint=function(e){var r=[e.x*this.worldSize,e.y*this.worldSize,0,1];return t.transformMat4(r,r,this.pixelMatrix),new t.Point(r[0]/r[3],r[1]/r[3])},Pn.prototype.getBounds=function(){return(new t.LngLatBounds).extend(this.pointLocation(new t.Point(0,0))).extend(this.pointLocation(new t.Point(this.width,0))).extend(this.pointLocation(new t.Point(this.width,this.height))).extend(this.pointLocation(new t.Point(0,this.height)))},Pn.prototype.getMaxBounds=function(){return this.latRange&&2===this.latRange.length&&this.lngRange&&2===this.lngRange.length?new t.LngLatBounds([this.lngRange[0],this.latRange[0]],[this.lngRange[1],this.latRange[1]]):null},Pn.prototype.setMaxBounds=function(t){t?(this.lngRange=[t.getWest(),t.getEast()],this.latRange=[t.getSouth(),t.getNorth()],this._constrain()):(this.lngRange=null,this.latRange=[-this.maxValidLatitude,this.maxValidLatitude])},Pn.prototype.calculatePosMatrix=function(e,r){void 0===r&&(r=!1);var n=e.key,i=r?this._alignedPosMatrixCache:this._posMatrixCache;if(i[n])return i[n];var a=e.canonical,o=this.worldSize/this.zoomScale(a.z),s=a.x+Math.pow(2,a.z)*e.wrap,l=t.identity(new Float64Array(16));return t.translate(l,l,[s*o,a.y*o,0]),t.scale(l,l,[o/t.EXTENT,o/t.EXTENT,1]),t.multiply(l,r?this.alignedProjMatrix:this.projMatrix,l),i[n]=new Float32Array(l),i[n]},Pn.prototype.customLayerMatrix=function(){return this.mercatorMatrix.slice()},Pn.prototype._constrain=function(){if(this.center&&this.width&&this.height&&!this._constraining){this._constraining=!0;var e,r,n,i,a=-90,o=90,s=-180,l=180,u=this.size,c=this._unmodified;if(this.latRange){var f=this.latRange;a=t.mercatorYfromLat(f[1])*this.worldSize,e=(o=t.mercatorYfromLat(f[0])*this.worldSize)-ao&&(i=o-g)}if(this.lngRange){var y=p.x,m=u.x/2;y-ml&&(n=l-m)}void 0===n&&void 0===i||(this.center=this.unproject(new t.Point(void 0!==n?n:p.x,void 0!==i?i:p.y))),this._unmodified=c,this._constraining=!1}},Pn.prototype._calcMatrices=function(){if(this.height){var e=this._fov/2,r=this.centerOffset;this.cameraToCenterDistance=.5/Math.tan(e)*this.height;var n=Math.PI/2+this._pitch,i=this._fov*(.5+r.y/this.height),a=Math.sin(i)*this.cameraToCenterDistance/Math.sin(t.clamp(Math.PI-n-i,.01,Math.PI-.01)),o=this.point,s=o.x,l=o.y,u=1.01*(Math.cos(Math.PI/2-this._pitch)*a+this.cameraToCenterDistance),c=this.height/50,f=new Float64Array(16);t.perspective(f,this._fov,this.width/this.height,c,u),f[8]=2*-r.x/this.width,f[9]=2*r.y/this.height,t.scale(f,f,[1,-1,1]),t.translate(f,f,[0,0,-this.cameraToCenterDistance]),t.rotateX(f,f,this._pitch),t.rotateZ(f,f,this.angle),t.translate(f,f,[-s,-l,0]),this.mercatorMatrix=t.scale([],f,[this.worldSize,this.worldSize,this.worldSize]),t.scale(f,f,[1,1,t.mercatorZfromAltitude(1,this.center.lat)*this.worldSize,1]),this.projMatrix=f,this.invProjMatrix=t.invert([],this.projMatrix);var h=this.width%2/2,p=this.height%2/2,d=Math.cos(this.angle),v=Math.sin(this.angle),g=s-Math.round(s)+d*h+v*p,y=l-Math.round(l)+d*p+v*h,m=new Float64Array(f);if(t.translate(m,m,[g>.5?g-1:g,y>.5?y-1:y,0]),this.alignedProjMatrix=m,f=t.create(),t.scale(f,f,[this.width/2,-this.height/2,1]),t.translate(f,f,[1,-1,0]),this.labelPlaneMatrix=f,f=t.create(),t.scale(f,f,[1,-1,1]),t.translate(f,f,[-1,-1,0]),t.scale(f,f,[2/this.width,2/this.height,1]),this.glCoordMatrix=f,this.pixelMatrix=t.multiply(new Float64Array(16),this.labelPlaneMatrix,this.projMatrix),!(f=t.invert(new Float64Array(16),this.pixelMatrix)))throw new Error("failed to invert matrix");this.pixelMatrixInverse=f,this._posMatrixCache={},this._alignedPosMatrixCache={}}},Pn.prototype.maxPitchScaleFactor=function(){if(!this.pixelMatrixInverse)return 1;var e=this.pointCoordinate(new t.Point(0,0)),r=[e.x*this.worldSize,e.y*this.worldSize,0,1];return t.transformMat4(r,r,this.pixelMatrix)[3]/this.cameraToCenterDistance},Pn.prototype.getCameraPoint=function(){var e=this._pitch,r=Math.tan(e)*(this.cameraToCenterDistance||1);return this.centerPoint.add(new t.Point(0,r))},Pn.prototype.getCameraQueryGeometry=function(e){var r=this.getCameraPoint();if(1===e.length)return[e[0],r];for(var n=r.x,i=r.y,a=r.x,o=r.y,s=0,l=e;s=3&&!t.some((function(t){return isNaN(t)}))){var e=this._map.dragRotate.isEnabled()&&this._map.touchZoomRotate.isEnabled()?+(t[3]||0):this._map.getBearing();return this._map.jumpTo({center:[+t[2],+t[1]],zoom:+t[0],bearing:e,pitch:+(t[4]||0)}),!0}return!1},In.prototype._updateHashUnthrottled=function(){var e=t.window.location.href.replace(/(#.+)?$/,this.getHashString());try{t.window.history.replaceState(t.window.history.state,null,e)}catch(t){}};var Dn={linearity:.3,easing:t.bezier(0,0,.3,1)},zn=t.extend({deceleration:2500,maxSpeed:1400},Dn),Rn=t.extend({deceleration:20,maxSpeed:1400},Dn),Fn=t.extend({deceleration:1e3,maxSpeed:360},Dn),Bn=t.extend({deceleration:1e3,maxSpeed:90},Dn),Nn=function(t){this._map=t,this.clear()};function jn(t,e){(!t.duration||t.duration0&&r-e[0].time>160;)e.shift()},Nn.prototype._onMoveEnd=function(e){if(this._drainInertiaBuffer(),!(this._inertiaBuffer.length<2)){for(var r={zoom:0,bearing:0,pitch:0,pan:new t.Point(0,0),pinchAround:void 0,around:void 0},n=0,i=this._inertiaBuffer;n=this._clickTolerance||this._map.fire(new Vn(t.type,this._map,t))},Gn.prototype.dblclick=function(t){return this._firePreventable(new Vn(t.type,this._map,t))},Gn.prototype.mouseover=function(t){this._map.fire(new Vn(t.type,this._map,t))},Gn.prototype.mouseout=function(t){this._map.fire(new Vn(t.type,this._map,t))},Gn.prototype.touchstart=function(t){return this._firePreventable(new qn(t.type,this._map,t))},Gn.prototype.touchmove=function(t){this._map.fire(new qn(t.type,this._map,t))},Gn.prototype.touchend=function(t){this._map.fire(new qn(t.type,this._map,t))},Gn.prototype.touchcancel=function(t){this._map.fire(new qn(t.type,this._map,t))},Gn.prototype._firePreventable=function(t){if(this._map.fire(t),t.defaultPrevented)return{}},Gn.prototype.isEnabled=function(){return!0},Gn.prototype.isActive=function(){return!1},Gn.prototype.enable=function(){},Gn.prototype.disable=function(){};var Wn=function(t){this._map=t};Wn.prototype.reset=function(){this._delayContextMenu=!1,delete this._contextMenuEvent},Wn.prototype.mousemove=function(t){this._map.fire(new Vn(t.type,this._map,t))},Wn.prototype.mousedown=function(){this._delayContextMenu=!0},Wn.prototype.mouseup=function(){this._delayContextMenu=!1,this._contextMenuEvent&&(this._map.fire(new Vn("contextmenu",this._map,this._contextMenuEvent)),delete this._contextMenuEvent)},Wn.prototype.contextmenu=function(t){this._delayContextMenu?this._contextMenuEvent=t:this._map.fire(new Vn(t.type,this._map,t)),this._map.listens("contextmenu")&&t.preventDefault()},Wn.prototype.isEnabled=function(){return!0},Wn.prototype.isActive=function(){return!1},Wn.prototype.enable=function(){},Wn.prototype.disable=function(){};var Yn=function(t,e){this._map=t,this._el=t.getCanvasContainer(),this._container=t.getContainer(),this._clickTolerance=e.clickTolerance||1};function Xn(t,e){for(var r={},n=0;nthis.numTouches)&&(this.aborted=!0),this.aborted||(void 0===this.startTime&&(this.startTime=e.timeStamp),n.length===this.numTouches&&(this.centroid=function(e){for(var r=new t.Point(0,0),n=0,i=e;n30)&&(this.aborted=!0)}}},Zn.prototype.touchend=function(t,e,r){if((!this.centroid||t.timeStamp-this.startTime>500)&&(this.aborted=!0),0===r.length){var n=!this.aborted&&this.centroid;if(this.reset(),n)return n}};var Kn=function(t){this.singleTap=new Zn(t),this.numTaps=t.numTaps,this.reset()};Kn.prototype.reset=function(){this.lastTime=1/0,delete this.lastTap,this.count=0,this.singleTap.reset()},Kn.prototype.touchstart=function(t,e,r){this.singleTap.touchstart(t,e,r)},Kn.prototype.touchmove=function(t,e,r){this.singleTap.touchmove(t,e,r)},Kn.prototype.touchend=function(t,e,r){var n=this.singleTap.touchend(t,e,r);if(n){var i=t.timeStamp-this.lastTime<500,a=!this.lastTap||this.lastTap.dist(n)<30;if(i&&a||this.reset(),this.count++,this.lastTime=t.timeStamp,this.lastTap=n,this.count===this.numTaps)return this.reset(),n}};var Jn=function(){this._zoomIn=new Kn({numTouches:1,numTaps:2}),this._zoomOut=new Kn({numTouches:2,numTaps:1}),this.reset()};Jn.prototype.reset=function(){this._active=!1,this._zoomIn.reset(),this._zoomOut.reset()},Jn.prototype.touchstart=function(t,e,r){this._zoomIn.touchstart(t,e,r),this._zoomOut.touchstart(t,e,r)},Jn.prototype.touchmove=function(t,e,r){this._zoomIn.touchmove(t,e,r),this._zoomOut.touchmove(t,e,r)},Jn.prototype.touchend=function(t,e,r){var n=this,i=this._zoomIn.touchend(t,e,r),a=this._zoomOut.touchend(t,e,r);return i?(this._active=!0,t.preventDefault(),setTimeout((function(){return n.reset()}),0),{cameraAnimation:function(e){return e.easeTo({duration:300,zoom:e.getZoom()+1,around:e.unproject(i)},{originalEvent:t})}}):a?(this._active=!0,t.preventDefault(),setTimeout((function(){return n.reset()}),0),{cameraAnimation:function(e){return e.easeTo({duration:300,zoom:e.getZoom()-1,around:e.unproject(a)},{originalEvent:t})}}):void 0},Jn.prototype.touchcancel=function(){this.reset()},Jn.prototype.enable=function(){this._enabled=!0},Jn.prototype.disable=function(){this._enabled=!1,this.reset()},Jn.prototype.isEnabled=function(){return this._enabled},Jn.prototype.isActive=function(){return this._active};var $n={};$n[0]=1,$n[2]=2;var Qn=function(t){this.reset(),this._clickTolerance=t.clickTolerance||1};Qn.prototype.reset=function(){this._active=!1,this._moved=!1,delete this._lastPoint,delete this._eventButton},Qn.prototype._correctButton=function(t,e){return!1},Qn.prototype._move=function(t,e){return{}},Qn.prototype.mousedown=function(t,e){if(!this._lastPoint){var n=r.mouseButton(t);this._correctButton(t,n)&&(this._lastPoint=e,this._eventButton=n)}},Qn.prototype.mousemoveWindow=function(t,e){var r=this._lastPoint;if(r)if(t.preventDefault(),function(t,e){var r=$n[e];return void 0===t.buttons||(t.buttons&r)!==r}(t,this._eventButton))this.reset();else if(this._moved||!(e.dist(r)0&&(this._active=!0);var i=Xn(n,r),a=new t.Point(0,0),o=new t.Point(0,0),s=0;for(var l in i){var u=i[l],c=this._touches[l];c&&(a._add(u),o._add(u.sub(c)),s++,i[l]=u)}if(this._touches=i,!(sMath.abs(t.x)}var fi=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.reset=function(){t.prototype.reset.call(this),this._valid=void 0,delete this._firstMove,delete this._lastPoints},e.prototype._start=function(t){this._lastPoints=t,ci(t[0].sub(t[1]))&&(this._valid=!1)},e.prototype._move=function(t,e,r){var n=t[0].sub(this._lastPoints[0]),i=t[1].sub(this._lastPoints[1]);if(this._valid=this.gestureBeginsVertically(n,i,r.timeStamp),this._valid)return this._lastPoints=t,this._active=!0,{pitchDelta:(n.y+i.y)/2*-.5}},e.prototype.gestureBeginsVertically=function(t,e,r){if(void 0!==this._valid)return this._valid;var n=t.mag()>=2,i=e.mag()>=2;if(n||i){if(!n||!i)return void 0===this._firstMove&&(this._firstMove=r),r-this._firstMove<100&&void 0;var a=t.y>0==e.y>0;return ci(t)&&ci(e)&&a}},e}(ii),hi={panStep:100,bearingStep:15,pitchStep:10},pi=function(){var t=hi;this._panStep=t.panStep,this._bearingStep=t.bearingStep,this._pitchStep=t.pitchStep,this._rotationDisabled=!1};function di(t){return t*(2-t)}pi.prototype.reset=function(){this._active=!1},pi.prototype.keydown=function(t){var e=this;if(!(t.altKey||t.ctrlKey||t.metaKey)){var r=0,n=0,i=0,a=0,o=0;switch(t.keyCode){case 61:case 107:case 171:case 187:r=1;break;case 189:case 109:case 173:r=-1;break;case 37:t.shiftKey?n=-1:(t.preventDefault(),a=-1);break;case 39:t.shiftKey?n=1:(t.preventDefault(),a=1);break;case 38:t.shiftKey?i=1:(t.preventDefault(),o=-1);break;case 40:t.shiftKey?i=-1:(t.preventDefault(),o=1);break;default:return}return this._rotationDisabled&&(n=0,i=0),{cameraAnimation:function(s){var l=s.getZoom();s.easeTo({duration:300,easeId:"keyboardHandler",easing:di,zoom:r?Math.round(l)+r*(t.shiftKey?2:1):l,bearing:s.getBearing()+n*e._bearingStep,pitch:s.getPitch()+i*e._pitchStep,offset:[-a*e._panStep,-o*e._panStep],center:s.getCenter()},{originalEvent:t})}}}},pi.prototype.enable=function(){this._enabled=!0},pi.prototype.disable=function(){this._enabled=!1,this.reset()},pi.prototype.isEnabled=function(){return this._enabled},pi.prototype.isActive=function(){return this._active},pi.prototype.disableRotation=function(){this._rotationDisabled=!0},pi.prototype.enableRotation=function(){this._rotationDisabled=!1};var vi=4.000244140625,gi=function(e,r){this._map=e,this._el=e.getCanvasContainer(),this._handler=r,this._delta=0,this._defaultZoomRate=.01,this._wheelZoomRate=.0022222222222222222,t.bindAll(["_onTimeout"],this)};gi.prototype.setZoomRate=function(t){this._defaultZoomRate=t},gi.prototype.setWheelZoomRate=function(t){this._wheelZoomRate=t},gi.prototype.isEnabled=function(){return!!this._enabled},gi.prototype.isActive=function(){return!!this._active||void 0!==this._finishTimeout},gi.prototype.isZooming=function(){return!!this._zooming},gi.prototype.enable=function(t){this.isEnabled()||(this._enabled=!0,this._aroundCenter=t&&"center"===t.around)},gi.prototype.disable=function(){this.isEnabled()&&(this._enabled=!1)},gi.prototype.wheel=function(e){if(this.isEnabled()){var r=e.deltaMode===t.window.WheelEvent.DOM_DELTA_LINE?40*e.deltaY:e.deltaY,n=t.browser.now(),i=n-(this._lastWheelEventTime||0);this._lastWheelEventTime=n,0!==r&&r%vi==0?this._type="wheel":0!==r&&Math.abs(r)<4?this._type="trackpad":i>400?(this._type=null,this._lastValue=r,this._timeout=setTimeout(this._onTimeout,40,e)):this._type||(this._type=Math.abs(i*r)<200?"trackpad":"wheel",this._timeout&&(clearTimeout(this._timeout),this._timeout=null,r+=this._lastValue)),e.shiftKey&&r&&(r/=4),this._type&&(this._lastWheelEvent=e,this._delta-=r,this._active||this._start(e)),e.preventDefault()}},gi.prototype._onTimeout=function(t){this._type="wheel",this._delta-=this._lastValue,this._active||this._start(t)},gi.prototype._start=function(e){if(this._delta){this._frameId&&(this._frameId=null),this._active=!0,this.isZooming()||(this._zooming=!0),this._finishTimeout&&(clearTimeout(this._finishTimeout),delete this._finishTimeout);var n=r.mousePos(this._el,e);this._around=t.LngLat.convert(this._aroundCenter?this._map.getCenter():this._map.unproject(n)),this._aroundPoint=this._map.transform.locationPoint(this._around),this._frameId||(this._frameId=!0,this._handler._triggerRenderFrame())}},gi.prototype.renderFrame=function(){var e=this;if(this._frameId&&(this._frameId=null,this.isActive())){var r=this._map.transform;if(0!==this._delta){var n="wheel"===this._type&&Math.abs(this._delta)>vi?this._wheelZoomRate:this._defaultZoomRate,i=2/(1+Math.exp(-Math.abs(this._delta*n)));this._delta<0&&0!==i&&(i=1/i);var a="number"==typeof this._targetZoom?r.zoomScale(this._targetZoom):r.scale;this._targetZoom=Math.min(r.maxZoom,Math.max(r.minZoom,r.scaleZoom(a*i))),"wheel"===this._type&&(this._startZoom=r.zoom,this._easing=this._smoothOutEasing(200)),this._delta=0}var o,s="number"==typeof this._targetZoom?this._targetZoom:r.zoom,l=this._startZoom,u=this._easing,c=!1;if("wheel"===this._type&&l&&u){var f=Math.min((t.browser.now()-this._lastWheelEventTime)/200,1),h=u(f);o=t.number(l,s,h),f<1?this._frameId||(this._frameId=!0):c=!0}else o=s,c=!0;return this._active=!0,c&&(this._active=!1,this._finishTimeout=setTimeout((function(){e._zooming=!1,e._handler._triggerRenderFrame(),delete e._targetZoom,delete e._finishTimeout}),200)),{noInertia:!0,needsRenderFrame:!c,zoomDelta:o-r.zoom,around:this._aroundPoint,originalEvent:this._lastWheelEvent}}},gi.prototype._smoothOutEasing=function(e){var r=t.ease;if(this._prevEase){var n=this._prevEase,i=(t.browser.now()-n.start)/n.duration,a=n.easing(i+.01)-n.easing(i),o=.27/Math.sqrt(a*a+1e-4)*.01,s=Math.sqrt(.0729-o*o);r=t.bezier(o,s,.25,1)}return this._prevEase={start:t.browser.now(),duration:e,easing:r},r},gi.prototype.reset=function(){this._active=!1};var yi=function(t,e){this._clickZoom=t,this._tapZoom=e};yi.prototype.enable=function(){this._clickZoom.enable(),this._tapZoom.enable()},yi.prototype.disable=function(){this._clickZoom.disable(),this._tapZoom.disable()},yi.prototype.isEnabled=function(){return this._clickZoom.isEnabled()&&this._tapZoom.isEnabled()},yi.prototype.isActive=function(){return this._clickZoom.isActive()||this._tapZoom.isActive()};var mi=function(){this.reset()};mi.prototype.reset=function(){this._active=!1},mi.prototype.dblclick=function(t,e){return t.preventDefault(),{cameraAnimation:function(r){r.easeTo({duration:300,zoom:r.getZoom()+(t.shiftKey?-1:1),around:r.unproject(e)},{originalEvent:t})}}},mi.prototype.enable=function(){this._enabled=!0},mi.prototype.disable=function(){this._enabled=!1,this.reset()},mi.prototype.isEnabled=function(){return this._enabled},mi.prototype.isActive=function(){return this._active};var xi=function(){this._tap=new Kn({numTouches:1,numTaps:1}),this.reset()};xi.prototype.reset=function(){this._active=!1,delete this._swipePoint,delete this._swipeTouch,delete this._tapTime,this._tap.reset()},xi.prototype.touchstart=function(t,e,r){this._swipePoint||(this._tapTime&&t.timeStamp-this._tapTime>500&&this.reset(),this._tapTime?r.length>0&&(this._swipePoint=e[0],this._swipeTouch=r[0].identifier):this._tap.touchstart(t,e,r))},xi.prototype.touchmove=function(t,e,r){if(this._tapTime){if(this._swipePoint){if(r[0].identifier!==this._swipeTouch)return;var n=e[0],i=n.y-this._swipePoint.y;return this._swipePoint=n,t.preventDefault(),this._active=!0,{zoomDelta:i/128}}}else this._tap.touchmove(t,e,r)},xi.prototype.touchend=function(t,e,r){this._tapTime?this._swipePoint&&0===r.length&&this.reset():this._tap.touchend(t,e,r)&&(this._tapTime=t.timeStamp)},xi.prototype.touchcancel=function(){this.reset()},xi.prototype.enable=function(){this._enabled=!0},xi.prototype.disable=function(){this._enabled=!1,this.reset()},xi.prototype.isEnabled=function(){return this._enabled},xi.prototype.isActive=function(){return this._active};var bi=function(t,e,r){this._el=t,this._mousePan=e,this._touchPan=r};bi.prototype.enable=function(t){this._inertiaOptions=t||{},this._mousePan.enable(),this._touchPan.enable(),this._el.classList.add("mapboxgl-touch-drag-pan")},bi.prototype.disable=function(){this._mousePan.disable(),this._touchPan.disable(),this._el.classList.remove("mapboxgl-touch-drag-pan")},bi.prototype.isEnabled=function(){return this._mousePan.isEnabled()&&this._touchPan.isEnabled()},bi.prototype.isActive=function(){return this._mousePan.isActive()||this._touchPan.isActive()};var _i=function(t,e,r){this._pitchWithRotate=t.pitchWithRotate,this._mouseRotate=e,this._mousePitch=r};_i.prototype.enable=function(){this._mouseRotate.enable(),this._pitchWithRotate&&this._mousePitch.enable()},_i.prototype.disable=function(){this._mouseRotate.disable(),this._mousePitch.disable()},_i.prototype.isEnabled=function(){return this._mouseRotate.isEnabled()&&(!this._pitchWithRotate||this._mousePitch.isEnabled())},_i.prototype.isActive=function(){return this._mouseRotate.isActive()||this._mousePitch.isActive()};var wi=function(t,e,r,n){this._el=t,this._touchZoom=e,this._touchRotate=r,this._tapDragZoom=n,this._rotationDisabled=!1,this._enabled=!0};wi.prototype.enable=function(t){this._touchZoom.enable(t),this._rotationDisabled||this._touchRotate.enable(t),this._tapDragZoom.enable(),this._el.classList.add("mapboxgl-touch-zoom-rotate")},wi.prototype.disable=function(){this._touchZoom.disable(),this._touchRotate.disable(),this._tapDragZoom.disable(),this._el.classList.remove("mapboxgl-touch-zoom-rotate")},wi.prototype.isEnabled=function(){return this._touchZoom.isEnabled()&&(this._rotationDisabled||this._touchRotate.isEnabled())&&this._tapDragZoom.isEnabled()},wi.prototype.isActive=function(){return this._touchZoom.isActive()||this._touchRotate.isActive()||this._tapDragZoom.isActive()},wi.prototype.disableRotation=function(){this._rotationDisabled=!0,this._touchRotate.disable()},wi.prototype.enableRotation=function(){this._rotationDisabled=!1,this._touchZoom.isEnabled()&&this._touchRotate.enable()};var Ti=function(t){return t.zoom||t.drag||t.pitch||t.rotate},ki=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e}(t.Event);function Ai(t){return t.panDelta&&t.panDelta.mag()||t.zoomDelta||t.bearingDelta||t.pitchDelta}var Mi=function(e,n){this._map=e,this._el=this._map.getCanvasContainer(),this._handlers=[],this._handlersById={},this._changes=[],this._inertia=new Nn(e),this._bearingSnap=n.bearingSnap,this._previousActiveHandlers={},this._eventsInProgress={},this._addDefaultHandlers(n),t.bindAll(["handleEvent","handleWindowEvent"],this);var i=this._el;this._listeners=[[i,"touchstart",{passive:!0}],[i,"touchmove",{passive:!1}],[i,"touchend",void 0],[i,"touchcancel",void 0],[i,"mousedown",void 0],[i,"mousemove",void 0],[i,"mouseup",void 0],[t.window.document,"mousemove",{capture:!0}],[t.window.document,"mouseup",void 0],[i,"mouseover",void 0],[i,"mouseout",void 0],[i,"dblclick",void 0],[i,"click",void 0],[i,"keydown",{capture:!1}],[i,"keyup",void 0],[i,"wheel",{passive:!1}],[i,"contextmenu",void 0],[t.window,"blur",void 0]];for(var a=0,o=this._listeners;aa?Math.min(2,_):Math.max(.5,_),w=Math.pow(g,1-e),T=i.unproject(x.add(b.mult(e*w)).mult(v));i.setLocationAtPoint(i.renderWorldCopies?T.wrap():T,d)}n._fireMoveEvents(r)}),(function(t){n._afterEase(r,t)}),e),this},r.prototype._prepareEase=function(e,r,n){void 0===n&&(n={}),this._moving=!0,r||n.moving||this.fire(new t.Event("movestart",e)),this._zooming&&!n.zooming&&this.fire(new t.Event("zoomstart",e)),this._rotating&&!n.rotating&&this.fire(new t.Event("rotatestart",e)),this._pitching&&!n.pitching&&this.fire(new t.Event("pitchstart",e))},r.prototype._fireMoveEvents=function(e){this.fire(new t.Event("move",e)),this._zooming&&this.fire(new t.Event("zoom",e)),this._rotating&&this.fire(new t.Event("rotate",e)),this._pitching&&this.fire(new t.Event("pitch",e))},r.prototype._afterEase=function(e,r){if(!this._easeId||!r||this._easeId!==r){delete this._easeId;var n=this._zooming,i=this._rotating,a=this._pitching;this._moving=!1,this._zooming=!1,this._rotating=!1,this._pitching=!1,this._padding=!1,n&&this.fire(new t.Event("zoomend",e)),i&&this.fire(new t.Event("rotateend",e)),a&&this.fire(new t.Event("pitchend",e)),this.fire(new t.Event("moveend",e))}},r.prototype.flyTo=function(e,r){var n=this;if(!e.essential&&t.browser.prefersReducedMotion){var i=t.pick(e,["center","zoom","bearing","pitch","around"]);return this.jumpTo(i,r)}this.stop(),e=t.extend({offset:[0,0],speed:1.2,curve:1.42,easing:t.ease},e);var a=this.transform,o=this.getZoom(),s=this.getBearing(),l=this.getPitch(),u=this.getPadding(),c="zoom"in e?t.clamp(+e.zoom,a.minZoom,a.maxZoom):o,f="bearing"in e?this._normalizeBearing(e.bearing,s):s,h="pitch"in e?+e.pitch:l,p="padding"in e?e.padding:a.padding,d=a.zoomScale(c-o),v=t.Point.convert(e.offset),g=a.centerPoint.add(v),y=a.pointLocation(g),m=t.LngLat.convert(e.center||y);this._normalizeCenter(m);var x=a.project(y),b=a.project(m).sub(x),_=e.curve,w=Math.max(a.width,a.height),T=w/d,k=b.mag();if("minZoom"in e){var A=t.clamp(Math.min(e.minZoom,o,c),a.minZoom,a.maxZoom),M=w/a.zoomScale(A-o);_=Math.sqrt(M/k*2)}var S=_*_;function E(t){var e=(T*T-w*w+(t?-1:1)*S*S*k*k)/(2*(t?T:w)*S*k);return Math.log(Math.sqrt(e*e+1)-e)}function L(t){return(Math.exp(t)-Math.exp(-t))/2}function C(t){return(Math.exp(t)+Math.exp(-t))/2}var P=E(0),O=function(t){return C(P)/C(P+_*t)},I=function(t){return w*((C(P)*(L(e=P+_*t)/C(e))-L(P))/S)/k;var e},D=(E(1)-P)/_;if(Math.abs(k)<1e-6||!isFinite(D)){if(Math.abs(w-T)<1e-6)return this.easeTo(e,r);var z=Te.maxDuration&&(e.duration=0),this._zooming=!0,this._rotating=s!==f,this._pitching=h!==l,this._padding=!a.isPaddingEqual(p),this._prepareEase(r,!1),this._ease((function(e){var i=e*D,d=1/O(i);a.zoom=1===e?c:o+a.scaleZoom(d),n._rotating&&(a.bearing=t.number(s,f,e)),n._pitching&&(a.pitch=t.number(l,h,e)),n._padding&&(a.interpolatePadding(u,p,e),g=a.centerPoint.add(v));var y=1===e?m:a.unproject(x.add(b.mult(I(i))).mult(d));a.setLocationAtPoint(a.renderWorldCopies?y.wrap():y,g),n._fireMoveEvents(r)}),(function(){return n._afterEase(r)}),e),this},r.prototype.isEasing=function(){return!!this._easeFrameId},r.prototype.stop=function(){return this._stop()},r.prototype._stop=function(t,e){if(this._easeFrameId&&(this._cancelRenderFrame(this._easeFrameId),delete this._easeFrameId,delete this._onEaseFrame),this._onEaseEnd){var r=this._onEaseEnd;delete this._onEaseEnd,r.call(this,e)}if(!t){var n=this.handlers;n&&n.stop(!1)}return this},r.prototype._ease=function(e,r,n){!1===n.animate||0===n.duration?(e(1),r()):(this._easeStart=t.browser.now(),this._easeOptions=n,this._onEaseFrame=e,this._onEaseEnd=r,this._easeFrameId=this._requestRenderFrame(this._renderFrameCallback))},r.prototype._renderFrameCallback=function(){var e=Math.min((t.browser.now()-this._easeStart)/this._easeOptions.duration,1);this._onEaseFrame(this._easeOptions.easing(e)),e<1?this._easeFrameId=this._requestRenderFrame(this._renderFrameCallback):this.stop()},r.prototype._normalizeBearing=function(e,r){e=t.wrap(e,-180,180);var n=Math.abs(e-r);return Math.abs(e-360-r)180?-360:r<-180?360:0}},r}(t.Evented),Ei=function(e){void 0===e&&(e={}),this.options=e,t.bindAll(["_toggleAttribution","_updateEditLink","_updateData","_updateCompact"],this)};Ei.prototype.getDefaultPosition=function(){return"bottom-right"},Ei.prototype.onAdd=function(t){var e=this.options&&this.options.compact;return this._map=t,this._container=r.create("div","mapboxgl-ctrl mapboxgl-ctrl-attrib"),this._compactButton=r.create("button","mapboxgl-ctrl-attrib-button",this._container),this._compactButton.addEventListener("click",this._toggleAttribution),this._setElementTitle(this._compactButton,"ToggleAttribution"),this._innerContainer=r.create("div","mapboxgl-ctrl-attrib-inner",this._container),this._innerContainer.setAttribute("role","list"),e&&this._container.classList.add("mapboxgl-compact"),this._updateAttributions(),this._updateEditLink(),this._map.on("styledata",this._updateData),this._map.on("sourcedata",this._updateData),this._map.on("moveend",this._updateEditLink),void 0===e&&(this._map.on("resize",this._updateCompact),this._updateCompact()),this._container},Ei.prototype.onRemove=function(){r.remove(this._container),this._map.off("styledata",this._updateData),this._map.off("sourcedata",this._updateData),this._map.off("moveend",this._updateEditLink),this._map.off("resize",this._updateCompact),this._map=void 0,this._attribHTML=void 0},Ei.prototype._setElementTitle=function(t,e){var r=this._map._getUIString("AttributionControl."+e);t.title=r,t.setAttribute("aria-label",r)},Ei.prototype._toggleAttribution=function(){this._container.classList.contains("mapboxgl-compact-show")?(this._container.classList.remove("mapboxgl-compact-show"),this._compactButton.setAttribute("aria-pressed","false")):(this._container.classList.add("mapboxgl-compact-show"),this._compactButton.setAttribute("aria-pressed","true"))},Ei.prototype._updateEditLink=function(){var e=this._editLink;e||(e=this._editLink=this._container.querySelector(".mapbox-improve-map"));var r=[{key:"owner",value:this.styleOwner},{key:"id",value:this.styleId},{key:"access_token",value:this._map._requestManager._customAccessToken||t.config.ACCESS_TOKEN}];if(e){var n=r.reduce((function(t,e,n){return e.value&&(t+=e.key+"="+e.value+(n=0)return!1;return!0}))).join(" | ");o!==this._attribHTML&&(this._attribHTML=o,t.length?(this._innerContainer.innerHTML=o,this._container.classList.remove("mapboxgl-attrib-empty")):this._container.classList.add("mapboxgl-attrib-empty"),this._editLink=null)}},Ei.prototype._updateCompact=function(){this._map.getCanvasContainer().offsetWidth<=640?this._container.classList.add("mapboxgl-compact"):this._container.classList.remove("mapboxgl-compact","mapboxgl-compact-show")};var Li=function(){t.bindAll(["_updateLogo"],this),t.bindAll(["_updateCompact"],this)};Li.prototype.onAdd=function(t){this._map=t,this._container=r.create("div","mapboxgl-ctrl");var e=r.create("a","mapboxgl-ctrl-logo");return e.target="_blank",e.rel="noopener nofollow",e.href="https://www.mapbox.com/",e.setAttribute("aria-label",this._map._getUIString("LogoControl.Title")),e.setAttribute("rel","noopener nofollow"),this._container.appendChild(e),this._container.style.display="none",this._map.on("sourcedata",this._updateLogo),this._updateLogo(),this._map.on("resize",this._updateCompact),this._updateCompact(),this._container},Li.prototype.onRemove=function(){r.remove(this._container),this._map.off("sourcedata",this._updateLogo),this._map.off("resize",this._updateCompact)},Li.prototype.getDefaultPosition=function(){return"bottom-left"},Li.prototype._updateLogo=function(t){t&&"metadata"!==t.sourceDataType||(this._container.style.display=this._logoRequired()?"block":"none")},Li.prototype._logoRequired=function(){if(this._map.style){var t=this._map.style.sourceCaches;for(var e in t)if(t[e].getSource().mapbox_logo)return!0;return!1}},Li.prototype._updateCompact=function(){var t=this._container.children;if(t.length){var e=t[0];this._map.getCanvasContainer().offsetWidth<250?e.classList.add("mapboxgl-compact"):e.classList.remove("mapboxgl-compact")}};var Ci=function(){this._queue=[],this._id=0,this._cleared=!1,this._currentlyRunning=!1};Ci.prototype.add=function(t){var e=++this._id;return this._queue.push({callback:t,id:e,cancelled:!1}),e},Ci.prototype.remove=function(t){for(var e=this._currentlyRunning,r=0,n=e?this._queue.concat(e):this._queue;re.maxZoom)throw new Error("maxZoom must be greater than or equal to minZoom");if(null!=e.minPitch&&null!=e.maxPitch&&e.minPitch>e.maxPitch)throw new Error("maxPitch must be greater than or equal to minPitch");if(null!=e.minPitch&&e.minPitch<0)throw new Error("minPitch must be greater than or equal to 0");if(null!=e.maxPitch&&e.maxPitch>zi)throw new Error("maxPitch must be less than or equal to 60");var i=new Pn(e.minZoom,e.maxZoom,e.minPitch,e.maxPitch,e.renderWorldCopies);if(n.call(this,i,e),this._interactive=e.interactive,this._maxTileCacheSize=e.maxTileCacheSize,this._failIfMajorPerformanceCaveat=e.failIfMajorPerformanceCaveat,this._preserveDrawingBuffer=e.preserveDrawingBuffer,this._antialias=e.antialias,this._trackResize=e.trackResize,this._bearingSnap=e.bearingSnap,this._refreshExpiredTiles=e.refreshExpiredTiles,this._fadeDuration=e.fadeDuration,this._crossSourceCollisions=e.crossSourceCollisions,this._crossFadingFactor=1,this._collectResourceTiming=e.collectResourceTiming,this._renderTaskQueue=new Ci,this._controls=[],this._mapId=t.uniqueId(),this._locale=t.extend({},Pi,e.locale),this._clickTolerance=e.clickTolerance,this._requestManager=new t.RequestManager(e.transformRequest,e.accessToken),"string"==typeof e.container){if(this._container=t.window.document.getElementById(e.container),!this._container)throw new Error("Container '"+e.container+"' not found.")}else{if(!(e.container instanceof Ii))throw new Error("Invalid type: 'container' must be a String or HTMLElement.");this._container=e.container}if(e.maxBounds&&this.setMaxBounds(e.maxBounds),t.bindAll(["_onWindowOnline","_onWindowResize","_onMapScroll","_contextLost","_contextRestored"],this),this._setupContainer(),this._setupPainter(),void 0===this.painter)throw new Error("Failed to initialize WebGL.");this.on("move",(function(){return r._update(!1)})),this.on("moveend",(function(){return r._update(!1)})),this.on("zoom",(function(){return r._update(!0)})),void 0!==t.window&&(t.window.addEventListener("online",this._onWindowOnline,!1),t.window.addEventListener("resize",this._onWindowResize,!1),t.window.addEventListener("orientationchange",this._onWindowResize,!1)),this.handlers=new Mi(this,e);var a="string"==typeof e.hash&&e.hash||void 0;this._hash=e.hash&&new In(a).addTo(this),this._hash&&this._hash._onHashChange()||(this.jumpTo({center:e.center,zoom:e.zoom,bearing:e.bearing,pitch:e.pitch}),e.bounds&&(this.resize(),this.fitBounds(e.bounds,t.extend({},e.fitBoundsOptions,{duration:0})))),this.resize(),this._localIdeographFontFamily=e.localIdeographFontFamily,e.style&&this.setStyle(e.style,{localIdeographFontFamily:e.localIdeographFontFamily}),e.attributionControl&&this.addControl(new Ei({customAttribution:e.customAttribution})),this.addControl(new Li,e.logoPosition),this.on("style.load",(function(){r.transform.unmodified&&r.jumpTo(r.style.stylesheet)})),this.on("data",(function(e){r._update("style"===e.dataType),r.fire(new t.Event(e.dataType+"data",e))})),this.on("dataloading",(function(e){r.fire(new t.Event(e.dataType+"dataloading",e))}))}n&&(i.__proto__=n),i.prototype=Object.create(n&&n.prototype),i.prototype.constructor=i;var a={showTileBoundaries:{configurable:!0},showPadding:{configurable:!0},showCollisionBoxes:{configurable:!0},showOverdrawInspector:{configurable:!0},repaint:{configurable:!0},vertices:{configurable:!0},version:{configurable:!0}};return i.prototype._getMapId=function(){return this._mapId},i.prototype.addControl=function(e,r){if(void 0===r&&(r=e.getDefaultPosition?e.getDefaultPosition():"top-right"),!e||!e.onAdd)return this.fire(new t.ErrorEvent(new Error("Invalid argument to map.addControl(). Argument must be a control with onAdd and onRemove methods.")));var n=e.onAdd(this);this._controls.push(e);var i=this._controlPositions[r];return-1!==r.indexOf("bottom")?i.insertBefore(n,i.firstChild):i.appendChild(n),this},i.prototype.removeControl=function(e){if(!e||!e.onRemove)return this.fire(new t.ErrorEvent(new Error("Invalid argument to map.removeControl(). Argument must be a control with onAdd and onRemove methods.")));var r=this._controls.indexOf(e);return r>-1&&this._controls.splice(r,1),e.onRemove(this),this},i.prototype.hasControl=function(t){return this._controls.indexOf(t)>-1},i.prototype.resize=function(e){var r=this._containerDimensions(),n=r[0],i=r[1];this._resizeCanvas(n,i),this.transform.resize(n,i),this.painter.resize(n,i);var a=!this._moving;return a&&(this.stop(),this.fire(new t.Event("movestart",e)).fire(new t.Event("move",e))),this.fire(new t.Event("resize",e)),a&&this.fire(new t.Event("moveend",e)),this},i.prototype.getBounds=function(){return this.transform.getBounds()},i.prototype.getMaxBounds=function(){return this.transform.getMaxBounds()},i.prototype.setMaxBounds=function(e){return this.transform.setMaxBounds(t.LngLatBounds.convert(e)),this._update()},i.prototype.setMinZoom=function(t){if((t=null==t?-2:t)>=-2&&t<=this.transform.maxZoom)return this.transform.minZoom=t,this._update(),this.getZoom()=this.transform.minZoom)return this.transform.maxZoom=t,this._update(),this.getZoom()>t&&this.setZoom(t),this;throw new Error("maxZoom must be greater than the current minZoom")},i.prototype.getMaxZoom=function(){return this.transform.maxZoom},i.prototype.setMinPitch=function(t){if((t=null==t?0:t)<0)throw new Error("minPitch must be greater than or equal to 0");if(t>=0&&t<=this.transform.maxPitch)return this.transform.minPitch=t,this._update(),this.getPitch()zi)throw new Error("maxPitch must be less than or equal to 60");if(t>=this.transform.minPitch)return this.transform.maxPitch=t,this._update(),this.getPitch()>t&&this.setPitch(t),this;throw new Error("maxPitch must be greater than the current minPitch")},i.prototype.getMaxPitch=function(){return this.transform.maxPitch},i.prototype.getRenderWorldCopies=function(){return this.transform.renderWorldCopies},i.prototype.setRenderWorldCopies=function(t){return this.transform.renderWorldCopies=t,this._update()},i.prototype.project=function(e){return this.transform.locationPoint(t.LngLat.convert(e))},i.prototype.unproject=function(e){return this.transform.pointLocation(t.Point.convert(e))},i.prototype.isMoving=function(){return this._moving||this.handlers.isMoving()},i.prototype.isZooming=function(){return this._zooming||this.handlers.isZooming()},i.prototype.isRotating=function(){return this._rotating||this.handlers.isRotating()},i.prototype._createDelegatedListener=function(t,e,r){var n,i=this;if("mouseenter"===t||"mouseover"===t){var a=!1;return{layer:e,listener:r,delegates:{mousemove:function(n){var o=i.getLayer(e)?i.queryRenderedFeatures(n.point,{layers:[e]}):[];o.length?a||(a=!0,r.call(i,new Vn(t,i,n.originalEvent,{features:o}))):a=!1},mouseout:function(){a=!1}}}}if("mouseleave"===t||"mouseout"===t){var o=!1;return{layer:e,listener:r,delegates:{mousemove:function(n){(i.getLayer(e)?i.queryRenderedFeatures(n.point,{layers:[e]}):[]).length?o=!0:o&&(o=!1,r.call(i,new Vn(t,i,n.originalEvent)))},mouseout:function(e){o&&(o=!1,r.call(i,new Vn(t,i,e.originalEvent)))}}}}return{layer:e,listener:r,delegates:(n={},n[t]=function(t){var n=i.getLayer(e)?i.queryRenderedFeatures(t.point,{layers:[e]}):[];n.length&&(t.features=n,r.call(i,t),delete t.features)},n)}},i.prototype.on=function(t,e,r){if(void 0===r)return n.prototype.on.call(this,t,e);var i=this._createDelegatedListener(t,e,r);for(var a in this._delegatedListeners=this._delegatedListeners||{},this._delegatedListeners[t]=this._delegatedListeners[t]||[],this._delegatedListeners[t].push(i),i.delegates)this.on(a,i.delegates[a]);return this},i.prototype.once=function(t,e,r){if(void 0===r)return n.prototype.once.call(this,t,e);var i=this._createDelegatedListener(t,e,r);for(var a in i.delegates)this.once(a,i.delegates[a]);return this},i.prototype.off=function(t,e,r){var i=this;if(void 0===r)return n.prototype.off.call(this,t,e);return this._delegatedListeners&&this._delegatedListeners[t]&&function(n){for(var a=n[t],o=0;o180;){var s=n.locationPoint(e);if(s.x>=0&&s.y>=0&&s.x<=n.width&&s.y<=n.height)break;e.lng>n.center.lng?e.lng-=360:e.lng+=360}return e}Ui.prototype.down=function(t,e){this.mouseRotate.mousedown(t,e),this.mousePitch&&this.mousePitch.mousedown(t,e),r.disableDrag()},Ui.prototype.move=function(t,e){var r=this.map,n=this.mouseRotate.mousemoveWindow(t,e);if(n&&n.bearingDelta&&r.setBearing(r.getBearing()+n.bearingDelta),this.mousePitch){var i=this.mousePitch.mousemoveWindow(t,e);i&&i.pitchDelta&&r.setPitch(r.getPitch()+i.pitchDelta)}},Ui.prototype.off=function(){var t=this.element;r.removeEventListener(t,"mousedown",this.mousedown),r.removeEventListener(t,"touchstart",this.touchstart,{passive:!1}),r.removeEventListener(t,"touchmove",this.touchmove),r.removeEventListener(t,"touchend",this.touchend),r.removeEventListener(t,"touchcancel",this.reset),this.offTemp()},Ui.prototype.offTemp=function(){r.enableDrag(),r.removeEventListener(t.window,"mousemove",this.mousemove),r.removeEventListener(t.window,"mouseup",this.mouseup)},Ui.prototype.mousedown=function(e){this.down(t.extend({},e,{ctrlKey:!0,preventDefault:function(){return e.preventDefault()}}),r.mousePos(this.element,e)),r.addEventListener(t.window,"mousemove",this.mousemove),r.addEventListener(t.window,"mouseup",this.mouseup)},Ui.prototype.mousemove=function(t){this.move(t,r.mousePos(this.element,t))},Ui.prototype.mouseup=function(t){this.mouseRotate.mouseupWindow(t),this.mousePitch&&this.mousePitch.mouseupWindow(t),this.offTemp()},Ui.prototype.touchstart=function(t){1!==t.targetTouches.length?this.reset():(this._startPos=this._lastPos=r.touchPos(this.element,t.targetTouches)[0],this.down({type:"mousedown",button:0,ctrlKey:!0,preventDefault:function(){return t.preventDefault()}},this._startPos))},Ui.prototype.touchmove=function(t){1!==t.targetTouches.length?this.reset():(this._lastPos=r.touchPos(this.element,t.targetTouches)[0],this.move({preventDefault:function(){return t.preventDefault()}},this._lastPos))},Ui.prototype.touchend=function(t){0===t.targetTouches.length&&this._startPos&&this._lastPos&&this._startPos.dist(this._lastPos)=r}this._isDragging&&(this._pos=e.point.sub(this._positionDelta),this._lngLat=this._map.unproject(this._pos),this.setLngLat(this._lngLat),this._element.style.pointerEvents="none","pending"===this._state&&(this._state="active",this.fire(new t.Event("dragstart"))),this.fire(new t.Event("drag")))},n.prototype._onUp=function(){this._element.style.pointerEvents="auto",this._positionDelta=null,this._pointerdownPos=null,this._isDragging=!1,this._map.off("mousemove",this._onMove),this._map.off("touchmove",this._onMove),"active"===this._state&&this.fire(new t.Event("dragend")),this._state="inactive"},n.prototype._addDragHandler=function(t){this._element.contains(t.originalEvent.target)&&(t.preventDefault(),this._positionDelta=t.point.sub(this._pos).add(this._offset),this._pointerdownPos=t.point,this._state="pending",this._map.on("mousemove",this._onMove),this._map.on("touchmove",this._onMove),this._map.once("mouseup",this._onUp),this._map.once("touchend",this._onUp))},n.prototype.setDraggable=function(t){return this._draggable=!!t,this._map&&(t?(this._map.on("mousedown",this._addDragHandler),this._map.on("touchstart",this._addDragHandler)):(this._map.off("mousedown",this._addDragHandler),this._map.off("touchstart",this._addDragHandler))),this},n.prototype.isDraggable=function(){return this._draggable},n.prototype.setRotation=function(t){return this._rotation=t||0,this._update(),this},n.prototype.getRotation=function(){return this._rotation},n.prototype.setRotationAlignment=function(t){return this._rotationAlignment=t||"auto",this._update(),this},n.prototype.getRotationAlignment=function(){return this._rotationAlignment},n.prototype.setPitchAlignment=function(t){return this._pitchAlignment=t&&"auto"!==t?t:this._rotationAlignment,this._update(),this},n.prototype.getPitchAlignment=function(){return this._pitchAlignment},n}(t.Evented),Yi={positionOptions:{enableHighAccuracy:!1,maximumAge:0,timeout:6e3},fitBoundsOptions:{maxZoom:15},trackUserLocation:!1,showAccuracyCircle:!0,showUserLocation:!0};var Xi=0,Zi=!1,Ki=function(e){function n(r){e.call(this),this.options=t.extend({},Yi,r),t.bindAll(["_onSuccess","_onError","_onZoom","_finish","_setupUI","_updateCamera","_updateMarker"],this)}return e&&(n.__proto__=e),n.prototype=Object.create(e&&e.prototype),n.prototype.constructor=n,n.prototype.onAdd=function(e){return this._map=e,this._container=r.create("div","mapboxgl-ctrl mapboxgl-ctrl-group"),n=this._setupUI,void 0!==Gi?n(Gi):void 0!==t.window.navigator.permissions?t.window.navigator.permissions.query({name:"geolocation"}).then((function(t){Gi="denied"!==t.state,n(Gi)})):(Gi=!!t.window.navigator.geolocation,n(Gi)),this._container;var n},n.prototype.onRemove=function(){void 0!==this._geolocationWatchID&&(t.window.navigator.geolocation.clearWatch(this._geolocationWatchID),this._geolocationWatchID=void 0),this.options.showUserLocation&&this._userLocationDotMarker&&this._userLocationDotMarker.remove(),this.options.showAccuracyCircle&&this._accuracyCircleMarker&&this._accuracyCircleMarker.remove(),r.remove(this._container),this._map.off("zoom",this._onZoom),this._map=void 0,Xi=0,Zi=!1},n.prototype._isOutOfMapMaxBounds=function(t){var e=this._map.getMaxBounds(),r=t.coords;return e&&(r.longitudee.getEast()||r.latitudee.getNorth())},n.prototype._setErrorState=function(){switch(this._watchState){case"WAITING_ACTIVE":this._watchState="ACTIVE_ERROR",this._geolocateButton.classList.remove("mapboxgl-ctrl-geolocate-active"),this._geolocateButton.classList.add("mapboxgl-ctrl-geolocate-active-error");break;case"ACTIVE_LOCK":this._watchState="ACTIVE_ERROR",this._geolocateButton.classList.remove("mapboxgl-ctrl-geolocate-active"),this._geolocateButton.classList.add("mapboxgl-ctrl-geolocate-active-error"),this._geolocateButton.classList.add("mapboxgl-ctrl-geolocate-waiting");break;case"BACKGROUND":this._watchState="BACKGROUND_ERROR",this._geolocateButton.classList.remove("mapboxgl-ctrl-geolocate-background"),this._geolocateButton.classList.add("mapboxgl-ctrl-geolocate-background-error"),this._geolocateButton.classList.add("mapboxgl-ctrl-geolocate-waiting")}},n.prototype._onSuccess=function(e){if(this._map){if(this._isOutOfMapMaxBounds(e))return this._setErrorState(),this.fire(new t.Event("outofmaxbounds",e)),this._updateMarker(),void this._finish();if(this.options.trackUserLocation)switch(this._lastKnownPosition=e,this._watchState){case"WAITING_ACTIVE":case"ACTIVE_LOCK":case"ACTIVE_ERROR":this._watchState="ACTIVE_LOCK",this._geolocateButton.classList.remove("mapboxgl-ctrl-geolocate-waiting"),this._geolocateButton.classList.remove("mapboxgl-ctrl-geolocate-active-error"),this._geolocateButton.classList.add("mapboxgl-ctrl-geolocate-active");break;case"BACKGROUND":case"BACKGROUND_ERROR":this._watchState="BACKGROUND",this._geolocateButton.classList.remove("mapboxgl-ctrl-geolocate-waiting"),this._geolocateButton.classList.remove("mapboxgl-ctrl-geolocate-background-error"),this._geolocateButton.classList.add("mapboxgl-ctrl-geolocate-background")}this.options.showUserLocation&&"OFF"!==this._watchState&&this._updateMarker(e),this.options.trackUserLocation&&"ACTIVE_LOCK"!==this._watchState||this._updateCamera(e),this.options.showUserLocation&&this._dotElement.classList.remove("mapboxgl-user-location-dot-stale"),this.fire(new t.Event("geolocate",e)),this._finish()}},n.prototype._updateCamera=function(e){var r=new t.LngLat(e.coords.longitude,e.coords.latitude),n=e.coords.accuracy,i=this._map.getBearing(),a=t.extend({bearing:i},this.options.fitBoundsOptions);this._map.fitBounds(r.toBounds(n),a,{geolocateSource:!0})},n.prototype._updateMarker=function(e){if(e){var r=new t.LngLat(e.coords.longitude,e.coords.latitude);this._accuracyCircleMarker.setLngLat(r).addTo(this._map),this._userLocationDotMarker.setLngLat(r).addTo(this._map),this._accuracy=e.coords.accuracy,this.options.showUserLocation&&this.options.showAccuracyCircle&&this._updateCircleRadius()}else this._userLocationDotMarker.remove(),this._accuracyCircleMarker.remove()},n.prototype._updateCircleRadius=function(){var t=this._map._container.clientHeight/2,e=this._map.unproject([0,t]),r=this._map.unproject([1,t]),n=e.distanceTo(r),i=Math.ceil(2*this._accuracy/n);this._circleElement.style.width=i+"px",this._circleElement.style.height=i+"px"},n.prototype._onZoom=function(){this.options.showUserLocation&&this.options.showAccuracyCircle&&this._updateCircleRadius()},n.prototype._onError=function(e){if(this._map){if(this.options.trackUserLocation)if(1===e.code){this._watchState="OFF",this._geolocateButton.classList.remove("mapboxgl-ctrl-geolocate-waiting"),this._geolocateButton.classList.remove("mapboxgl-ctrl-geolocate-active"),this._geolocateButton.classList.remove("mapboxgl-ctrl-geolocate-active-error"),this._geolocateButton.classList.remove("mapboxgl-ctrl-geolocate-background"),this._geolocateButton.classList.remove("mapboxgl-ctrl-geolocate-background-error"),this._geolocateButton.disabled=!0;var r=this._map._getUIString("GeolocateControl.LocationNotAvailable");this._geolocateButton.title=r,this._geolocateButton.setAttribute("aria-label",r),void 0!==this._geolocationWatchID&&this._clearWatch()}else{if(3===e.code&&Zi)return;this._setErrorState()}"OFF"!==this._watchState&&this.options.showUserLocation&&this._dotElement.classList.add("mapboxgl-user-location-dot-stale"),this.fire(new t.Event("error",e)),this._finish()}},n.prototype._finish=function(){this._timeoutId&&clearTimeout(this._timeoutId),this._timeoutId=void 0},n.prototype._setupUI=function(e){var n=this;if(this._container.addEventListener("contextmenu",(function(t){return t.preventDefault()})),this._geolocateButton=r.create("button","mapboxgl-ctrl-geolocate",this._container),r.create("span","mapboxgl-ctrl-icon",this._geolocateButton).setAttribute("aria-hidden",!0),this._geolocateButton.type="button",!1===e){t.warnOnce("Geolocation support is not available so the GeolocateControl will be disabled.");var i=this._map._getUIString("GeolocateControl.LocationNotAvailable");this._geolocateButton.disabled=!0,this._geolocateButton.title=i,this._geolocateButton.setAttribute("aria-label",i)}else{var a=this._map._getUIString("GeolocateControl.FindMyLocation");this._geolocateButton.title=a,this._geolocateButton.setAttribute("aria-label",a)}this.options.trackUserLocation&&(this._geolocateButton.setAttribute("aria-pressed","false"),this._watchState="OFF"),this.options.showUserLocation&&(this._dotElement=r.create("div","mapboxgl-user-location-dot"),this._userLocationDotMarker=new Wi(this._dotElement),this._circleElement=r.create("div","mapboxgl-user-location-accuracy-circle"),this._accuracyCircleMarker=new Wi({element:this._circleElement,pitchAlignment:"map"}),this.options.trackUserLocation&&(this._watchState="OFF"),this._map.on("zoom",this._onZoom)),this._geolocateButton.addEventListener("click",this.trigger.bind(this)),this._setup=!0,this.options.trackUserLocation&&this._map.on("movestart",(function(e){var r=e.originalEvent&&"resize"===e.originalEvent.type;e.geolocateSource||"ACTIVE_LOCK"!==n._watchState||r||(n._watchState="BACKGROUND",n._geolocateButton.classList.add("mapboxgl-ctrl-geolocate-background"),n._geolocateButton.classList.remove("mapboxgl-ctrl-geolocate-active"),n.fire(new t.Event("trackuserlocationend")))}))},n.prototype.trigger=function(){if(!this._setup)return t.warnOnce("Geolocate control triggered before added to a map"),!1;if(this.options.trackUserLocation){switch(this._watchState){case"OFF":this._watchState="WAITING_ACTIVE",this.fire(new t.Event("trackuserlocationstart"));break;case"WAITING_ACTIVE":case"ACTIVE_LOCK":case"ACTIVE_ERROR":case"BACKGROUND_ERROR":Xi--,Zi=!1,this._watchState="OFF",this._geolocateButton.classList.remove("mapboxgl-ctrl-geolocate-waiting"),this._geolocateButton.classList.remove("mapboxgl-ctrl-geolocate-active"),this._geolocateButton.classList.remove("mapboxgl-ctrl-geolocate-active-error"),this._geolocateButton.classList.remove("mapboxgl-ctrl-geolocate-background"),this._geolocateButton.classList.remove("mapboxgl-ctrl-geolocate-background-error"),this.fire(new t.Event("trackuserlocationend"));break;case"BACKGROUND":this._watchState="ACTIVE_LOCK",this._geolocateButton.classList.remove("mapboxgl-ctrl-geolocate-background"),this._lastKnownPosition&&this._updateCamera(this._lastKnownPosition),this.fire(new t.Event("trackuserlocationstart"))}switch(this._watchState){case"WAITING_ACTIVE":this._geolocateButton.classList.add("mapboxgl-ctrl-geolocate-waiting"),this._geolocateButton.classList.add("mapboxgl-ctrl-geolocate-active");break;case"ACTIVE_LOCK":this._geolocateButton.classList.add("mapboxgl-ctrl-geolocate-active");break;case"ACTIVE_ERROR":this._geolocateButton.classList.add("mapboxgl-ctrl-geolocate-waiting"),this._geolocateButton.classList.add("mapboxgl-ctrl-geolocate-active-error");break;case"BACKGROUND":this._geolocateButton.classList.add("mapboxgl-ctrl-geolocate-background");break;case"BACKGROUND_ERROR":this._geolocateButton.classList.add("mapboxgl-ctrl-geolocate-waiting"),this._geolocateButton.classList.add("mapboxgl-ctrl-geolocate-background-error")}if("OFF"===this._watchState&&void 0!==this._geolocationWatchID)this._clearWatch();else if(void 0===this._geolocationWatchID){var e;this._geolocateButton.classList.add("mapboxgl-ctrl-geolocate-waiting"),this._geolocateButton.setAttribute("aria-pressed","true"),++Xi>1?(e={maximumAge:6e5,timeout:0},Zi=!0):(e=this.options.positionOptions,Zi=!1),this._geolocationWatchID=t.window.navigator.geolocation.watchPosition(this._onSuccess,this._onError,e)}}else t.window.navigator.geolocation.getCurrentPosition(this._onSuccess,this._onError,this.options.positionOptions),this._timeoutId=setTimeout(this._finish,1e4);return!0},n.prototype._clearWatch=function(){t.window.navigator.geolocation.clearWatch(this._geolocationWatchID),this._geolocationWatchID=void 0,this._geolocateButton.classList.remove("mapboxgl-ctrl-geolocate-waiting"),this._geolocateButton.setAttribute("aria-pressed","false"),this.options.showUserLocation&&this._updateMarker(null)},n}(t.Evented),Ji={maxWidth:100,unit:"metric"},$i=function(e){this.options=t.extend({},Ji,e),t.bindAll(["_onMove","setUnit"],this)};function Qi(t,e,r){var n=r&&r.maxWidth||100,i=t._container.clientHeight/2,a=t.unproject([0,i]),o=t.unproject([n,i]),s=a.distanceTo(o);if(r&&"imperial"===r.unit){var l=3.2808*s;l>5280?ta(e,n,l/5280,t._getUIString("ScaleControl.Miles")):ta(e,n,l,t._getUIString("ScaleControl.Feet"))}else r&&"nautical"===r.unit?ta(e,n,s/1852,t._getUIString("ScaleControl.NauticalMiles")):s>=1e3?ta(e,n,s/1e3,t._getUIString("ScaleControl.Kilometers")):ta(e,n,s,t._getUIString("ScaleControl.Meters"))}function ta(t,e,r,n){var i,a,o,s=(i=r,(a=Math.pow(10,(""+Math.floor(i)).length-1))*((o=i/a)>=10?10:o>=5?5:o>=3?3:o>=2?2:o>=1?1:function(t){var e=Math.pow(10,Math.ceil(-Math.log(t)/Math.LN10));return Math.round(t*e)/e}(o))),l=s/r;t.style.width=e*l+"px",t.innerHTML=s+" "+n}$i.prototype.getDefaultPosition=function(){return"bottom-left"},$i.prototype._onMove=function(){Qi(this._map,this._container,this.options)},$i.prototype.onAdd=function(t){return this._map=t,this._container=r.create("div","mapboxgl-ctrl mapboxgl-ctrl-scale",t.getContainer()),this._map.on("move",this._onMove),this._onMove(),this._container},$i.prototype.onRemove=function(){r.remove(this._container),this._map.off("move",this._onMove),this._map=void 0},$i.prototype.setUnit=function(t){this.options.unit=t,Qi(this._map,this._container,this.options)};var ea=function(e){this._fullscreen=!1,e&&e.container&&(e.container instanceof t.window.HTMLElement?this._container=e.container:t.warnOnce("Full screen control 'container' must be a DOM element.")),t.bindAll(["_onClickFullscreen","_changeIcon"],this),"onfullscreenchange"in t.window.document?this._fullscreenchange="fullscreenchange":"onmozfullscreenchange"in t.window.document?this._fullscreenchange="mozfullscreenchange":"onwebkitfullscreenchange"in t.window.document?this._fullscreenchange="webkitfullscreenchange":"onmsfullscreenchange"in t.window.document&&(this._fullscreenchange="MSFullscreenChange")};ea.prototype.onAdd=function(e){return this._map=e,this._container||(this._container=this._map.getContainer()),this._controlContainer=r.create("div","mapboxgl-ctrl mapboxgl-ctrl-group"),this._checkFullscreenSupport()?this._setupUI():(this._controlContainer.style.display="none",t.warnOnce("This device does not support fullscreen mode.")),this._controlContainer},ea.prototype.onRemove=function(){r.remove(this._controlContainer),this._map=null,t.window.document.removeEventListener(this._fullscreenchange,this._changeIcon)},ea.prototype._checkFullscreenSupport=function(){return!!(t.window.document.fullscreenEnabled||t.window.document.mozFullScreenEnabled||t.window.document.msFullscreenEnabled||t.window.document.webkitFullscreenEnabled)},ea.prototype._setupUI=function(){var e=this._fullscreenButton=r.create("button","mapboxgl-ctrl-fullscreen",this._controlContainer);r.create("span","mapboxgl-ctrl-icon",e).setAttribute("aria-hidden",!0),e.type="button",this._updateTitle(),this._fullscreenButton.addEventListener("click",this._onClickFullscreen),t.window.document.addEventListener(this._fullscreenchange,this._changeIcon)},ea.prototype._updateTitle=function(){var t=this._getTitle();this._fullscreenButton.setAttribute("aria-label",t),this._fullscreenButton.title=t},ea.prototype._getTitle=function(){return this._map._getUIString(this._isFullscreen()?"FullscreenControl.Exit":"FullscreenControl.Enter")},ea.prototype._isFullscreen=function(){return this._fullscreen},ea.prototype._changeIcon=function(){(t.window.document.fullscreenElement||t.window.document.mozFullScreenElement||t.window.document.webkitFullscreenElement||t.window.document.msFullscreenElement)===this._container!==this._fullscreen&&(this._fullscreen=!this._fullscreen,this._fullscreenButton.classList.toggle("mapboxgl-ctrl-shrink"),this._fullscreenButton.classList.toggle("mapboxgl-ctrl-fullscreen"),this._updateTitle())},ea.prototype._onClickFullscreen=function(){this._isFullscreen()?t.window.document.exitFullscreen?t.window.document.exitFullscreen():t.window.document.mozCancelFullScreen?t.window.document.mozCancelFullScreen():t.window.document.msExitFullscreen?t.window.document.msExitFullscreen():t.window.document.webkitCancelFullScreen&&t.window.document.webkitCancelFullScreen():this._container.requestFullscreen?this._container.requestFullscreen():this._container.mozRequestFullScreen?this._container.mozRequestFullScreen():this._container.msRequestFullscreen?this._container.msRequestFullscreen():this._container.webkitRequestFullscreen&&this._container.webkitRequestFullscreen()};var ra={closeButton:!0,closeOnClick:!0,focusAfterOpen:!0,className:"",maxWidth:"240px"},na=["a[href]","[tabindex]:not([tabindex='-1'])","[contenteditable]:not([contenteditable='false'])","button:not([disabled])","input:not([disabled])","select:not([disabled])","textarea:not([disabled])"].join(", "),ia=function(e){function n(r){e.call(this),this.options=t.extend(Object.create(ra),r),t.bindAll(["_update","_onClose","remove","_onMouseMove","_onMouseUp","_onDrag"],this)}return e&&(n.__proto__=e),n.prototype=Object.create(e&&e.prototype),n.prototype.constructor=n,n.prototype.addTo=function(e){return this._map&&this.remove(),this._map=e,this.options.closeOnClick&&this._map.on("click",this._onClose),this.options.closeOnMove&&this._map.on("move",this._onClose),this._map.on("remove",this.remove),this._update(),this._focusFirstElement(),this._trackPointer?(this._map.on("mousemove",this._onMouseMove),this._map.on("mouseup",this._onMouseUp),this._container&&this._container.classList.add("mapboxgl-popup-track-pointer"),this._map._canvasContainer.classList.add("mapboxgl-track-pointer")):this._map.on("move",this._update),this.fire(new t.Event("open")),this},n.prototype.isOpen=function(){return!!this._map},n.prototype.remove=function(){return this._content&&r.remove(this._content),this._container&&(r.remove(this._container),delete this._container),this._map&&(this._map.off("move",this._update),this._map.off("move",this._onClose),this._map.off("click",this._onClose),this._map.off("remove",this.remove),this._map.off("mousemove",this._onMouseMove),this._map.off("mouseup",this._onMouseUp),this._map.off("drag",this._onDrag),delete this._map),this.fire(new t.Event("close")),this},n.prototype.getLngLat=function(){return this._lngLat},n.prototype.setLngLat=function(e){return this._lngLat=t.LngLat.convert(e),this._pos=null,this._trackPointer=!1,this._update(),this._map&&(this._map.on("move",this._update),this._map.off("mousemove",this._onMouseMove),this._container&&this._container.classList.remove("mapboxgl-popup-track-pointer"),this._map._canvasContainer.classList.remove("mapboxgl-track-pointer")),this},n.prototype.trackPointer=function(){return this._trackPointer=!0,this._pos=null,this._update(),this._map&&(this._map.off("move",this._update),this._map.on("mousemove",this._onMouseMove),this._map.on("drag",this._onDrag),this._container&&this._container.classList.add("mapboxgl-popup-track-pointer"),this._map._canvasContainer.classList.add("mapboxgl-track-pointer")),this},n.prototype.getElement=function(){return this._container},n.prototype.setText=function(e){return this.setDOMContent(t.window.document.createTextNode(e))},n.prototype.setHTML=function(e){var r,n=t.window.document.createDocumentFragment(),i=t.window.document.createElement("body");for(i.innerHTML=e;r=i.firstChild;)n.appendChild(r);return this.setDOMContent(n)},n.prototype.getMaxWidth=function(){return this._container&&this._container.style.maxWidth},n.prototype.setMaxWidth=function(t){return this.options.maxWidth=t,this._update(),this},n.prototype.setDOMContent=function(t){if(this._content)for(;this._content.hasChildNodes();)this._content.firstChild&&this._content.removeChild(this._content.firstChild);else this._content=r.create("div","mapboxgl-popup-content",this._container);return this._content.appendChild(t),this._createCloseButton(),this._update(),this._focusFirstElement(),this},n.prototype.addClassName=function(t){this._container&&this._container.classList.add(t)},n.prototype.removeClassName=function(t){this._container&&this._container.classList.remove(t)},n.prototype.setOffset=function(t){return this.options.offset=t,this._update(),this},n.prototype.toggleClassName=function(t){if(this._container)return this._container.classList.toggle(t)},n.prototype._createCloseButton=function(){this.options.closeButton&&(this._closeButton=r.create("button","mapboxgl-popup-close-button",this._content),this._closeButton.type="button",this._closeButton.setAttribute("aria-label","Close popup"),this._closeButton.innerHTML="×",this._closeButton.addEventListener("click",this._onClose))},n.prototype._onMouseUp=function(t){this._update(t.point)},n.prototype._onMouseMove=function(t){this._update(t.point)},n.prototype._onDrag=function(t){this._update(t.point)},n.prototype._update=function(t){var e=this,n=this._lngLat||this._trackPointer;if(this._map&&n&&this._content&&(this._container||(this._container=r.create("div","mapboxgl-popup",this._map.getContainer()),this._tip=r.create("div","mapboxgl-popup-tip",this._container),this._container.appendChild(this._content),this.options.className&&this.options.className.split(" ").forEach((function(t){return e._container.classList.add(t)})),this._trackPointer&&this._container.classList.add("mapboxgl-popup-track-pointer")),this.options.maxWidth&&this._container.style.maxWidth!==this.options.maxWidth&&(this._container.style.maxWidth=this.options.maxWidth),this._map.transform.renderWorldCopies&&!this._trackPointer&&(this._lngLat=Vi(this._lngLat,this._pos,this._map.transform)),!this._trackPointer||t)){var i=this._pos=this._trackPointer&&t?t:this._map.project(this._lngLat),a=this.options.anchor,o=aa(this.options.offset);if(!a){var s,l=this._container.offsetWidth,u=this._container.offsetHeight;s=i.y+o.bottom.ythis._map.transform.height-u?["bottom"]:[],i.xthis._map.transform.width-l/2&&s.push("right"),a=0===s.length?"bottom":s.join("-")}var c=i.add(o[a]).round();r.setTransform(this._container,qi[a]+" translate("+c.x+"px,"+c.y+"px)"),Hi(this._container,a,"popup")}},n.prototype._focusFirstElement=function(){if(this.options.focusAfterOpen&&this._container){var t=this._container.querySelector(na);t&&t.focus()}},n.prototype._onClose=function(){this.remove()},n}(t.Evented);function aa(e){if(e){if("number"==typeof e){var r=Math.round(Math.sqrt(.5*Math.pow(e,2)));return{center:new t.Point(0,0),top:new t.Point(0,e),"top-left":new t.Point(r,r),"top-right":new t.Point(-r,r),bottom:new t.Point(0,-e),"bottom-left":new t.Point(r,-r),"bottom-right":new t.Point(-r,-r),left:new t.Point(e,0),right:new t.Point(-e,0)}}if(e instanceof t.Point||Array.isArray(e)){var n=t.Point.convert(e);return{center:n,top:n,"top-left":n,"top-right":n,bottom:n,"bottom-left":n,"bottom-right":n,left:n,right:n}}return{center:t.Point.convert(e.center||[0,0]),top:t.Point.convert(e.top||[0,0]),"top-left":t.Point.convert(e["top-left"]||[0,0]),"top-right":t.Point.convert(e["top-right"]||[0,0]),bottom:t.Point.convert(e.bottom||[0,0]),"bottom-left":t.Point.convert(e["bottom-left"]||[0,0]),"bottom-right":t.Point.convert(e["bottom-right"]||[0,0]),left:t.Point.convert(e.left||[0,0]),right:t.Point.convert(e.right||[0,0])}}return aa(new t.Point(0,0))}var oa={version:t.version,supported:e,setRTLTextPlugin:t.setRTLTextPlugin,getRTLTextPluginStatus:t.getRTLTextPluginStatus,Map:Fi,NavigationControl:ji,GeolocateControl:Ki,AttributionControl:Ei,ScaleControl:$i,FullscreenControl:ea,Popup:ia,Marker:Wi,Style:Ye,LngLat:t.LngLat,LngLatBounds:t.LngLatBounds,Point:t.Point,MercatorCoordinate:t.MercatorCoordinate,Evented:t.Evented,config:t.config,prewarm:function(){jt().acquire(Rt)},clearPrewarmedResources:function(){var t=Bt;t&&(t.isPreloaded()&&1===t.numActive()?(t.release(Rt),Bt=null):console.warn("Could not clear WebWorkers since there are active Map instances that still reference it. The pre-warmed WebWorker pool can only be cleared when all map instances have been removed with map.remove()"))},get accessToken(){return t.config.ACCESS_TOKEN},set accessToken(e){t.config.ACCESS_TOKEN=e},get baseApiUrl(){return t.config.API_URL},set baseApiUrl(e){t.config.API_URL=e},get workerCount(){return Ft.workerCount},set workerCount(t){Ft.workerCount=t},get maxParallelImageRequests(){return t.config.MAX_PARALLEL_IMAGE_REQUESTS},set maxParallelImageRequests(e){t.config.MAX_PARALLEL_IMAGE_REQUESTS=e},clearStorage:function(e){t.clearTileCache(e)},workerUrl:""};return oa})),r}()},3108:function(t,e,r){"use strict";t.exports=r(26099)},26099:function(t,e,r){"use strict";var n=r(64928),i=r(32420),a=r(51160),o=r(76752),s=r(55616),l=r(31264),u=r(47520),c=r(18400),f=r(72512),h=r(76244);function p(t,e){for(var r=e[0],n=e[1],a=1/(e[2]-r),o=1/(e[3]-n),s=new Array(t.length),l=0,u=t.length/2;l>>1;e.dtype||(e.dtype="array"),"string"==typeof e.dtype?d=new(f(e.dtype))(g):e.dtype&&(d=e.dtype,Array.isArray(d)&&(d.length=g));for(var y=0;yr||s>1073741824){for(var h=0;hr+i||M>n+i||S=C||o===s)){var l=m[a];void 0===s&&(s=l.length);for(var u=o;u=g&&f<=w&&h>=y&&h<=T&&P.push(c)}var p=x[a],d=p[4*o+0],v=p[4*o+1],b=p[4*o+2],_=p[4*o+3],k=function(t,e){for(var r=null,n=0;null===r;)if(r=t[4*e+n],++n>t.length)return null;return r}(p,o+1),E=.5*i,O=a+1;e(r,n,E,O,d,v||b||_||k),e(r,n+E,E,O,v,b||_||k),e(r+E,n,E,O,b,_||k),e(r+E,n+E,E,O,_,k)}}(0,0,1,0,0,1),P},d;function E(t,e,r){for(var n=1,i=.5,a=.5,o=.5,s=0;s0){e+=Math.abs(o(t[0]));for(var r=1;r2){for(l=0;l=0))throw new Error("precision must be a positive number");var r=Math.pow(10,e||0);return Math.round(t*r)/r},e.radiansToLength=c,e.lengthToRadians=f,e.lengthToDegrees=function(t,e){return h(f(t,e))},e.bearingToAzimuth=function(t){var e=t%360;return e<0&&(e+=360),e},e.radiansToDegrees=h,e.degreesToRadians=function(t){return t%360*Math.PI/180},e.convertLength=function(t,e,r){if(void 0===e&&(e="kilometers"),void 0===r&&(r="kilometers"),!(t>=0))throw new Error("length must be a positive number");return c(f(t,e),r)},e.convertArea=function(t,r,n){if(void 0===r&&(r="meters"),void 0===n&&(n="kilometers"),!(t>=0))throw new Error("area must be a positive number");var i=e.areaFactors[r];if(!i)throw new Error("invalid original units");var a=e.areaFactors[n];if(!a)throw new Error("invalid final units");return t/i*a},e.isNumber=p,e.isObject=function(t){return!!t&&t.constructor===Object},e.validateBBox=function(t){if(!t)throw new Error("bbox is required");if(!Array.isArray(t))throw new Error("bbox must be an Array");if(4!==t.length&&6!==t.length)throw new Error("bbox must be an Array of 4 or 6 numbers");t.forEach((function(t){if(!p(t))throw new Error("bbox must only contain numbers")}))},e.validateId=function(t){if(!t)throw new Error("id is required");if(-1===["string","number"].indexOf(typeof t))throw new Error("id must be a number or a string")}},3256:function(t,e,r){"use 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n=r(50896);function i(){this.regionalOptions=[],this.regionalOptions[""]={invalidCalendar:"Calendar {0} not found",invalidDate:"Invalid {0} date",invalidMonth:"Invalid {0} month",invalidYear:"Invalid {0} year",differentCalendars:"Cannot mix {0} and {1} dates"},this.local=this.regionalOptions[""],this.calendars={},this._localCals={}}function a(t,e,r,n){if(this._calendar=t,this._year=e,this._month=r,this._day=n,0===this._calendar._validateLevel&&!this._calendar.isValid(this._year,this._month,this._day))throw(u.local.invalidDate||u.regionalOptions[""].invalidDate).replace(/\{0\}/,this._calendar.local.name)}function o(t,e){return"000000".substring(0,e-(t=""+t).length)+t}function s(){this.shortYearCutoff="+10"}function l(t){this.local=this.regionalOptions[t]||this.regionalOptions[""]}n(i.prototype,{instance:function(t,e){t=(t||"gregorian").toLowerCase(),e=e||"";var r=this._localCals[t+"-"+e];if(!r&&this.calendars[t]&&(r=new 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0===arguments.length?this._day:this.set(t,"d")},date:function(t,e,r){if(!this._calendar.isValid(t,e,r))throw(u.local.invalidDate||u.regionalOptions[""].invalidDate).replace(/\{0\}/,this._calendar.local.name);return this._year=t,this._month=e,this._day=r,this},leapYear:function(){return this._calendar.leapYear(this)},epoch:function(){return this._calendar.epoch(this)},formatYear:function(){return this._calendar.formatYear(this)},monthOfYear:function(){return this._calendar.monthOfYear(this)},weekOfYear:function(){return this._calendar.weekOfYear(this)},daysInYear:function(){return this._calendar.daysInYear(this)},dayOfYear:function(){return this._calendar.dayOfYear(this)},daysInMonth:function(){return this._calendar.daysInMonth(this)},dayOfWeek:function(){return this._calendar.dayOfWeek(this)},weekDay:function(){return this._calendar.weekDay(this)},extraInfo:function(){return this._calendar.extraInfo(this)},add:function(t,e){return this._calendar.add(this,t,e)},set:function(t,e){return this._calendar.set(this,t,e)},compareTo:function(t){if(this._calendar.name!==t._calendar.name)throw(u.local.differentCalendars||u.regionalOptions[""].differentCalendars).replace(/\{0\}/,this._calendar.local.name).replace(/\{1\}/,t._calendar.local.name);var e=this._year!==t._year?this._year-t._year:this._month!==t._month?this.monthOfYear()-t.monthOfYear():this._day-t._day;return 0===e?0:e<0?-1:1},calendar:function(){return this._calendar},toJD:function(){return this._calendar.toJD(this)},fromJD:function(t){return this._calendar.fromJD(t)},toJSDate:function(){return this._calendar.toJSDate(this)},fromJSDate:function(t){return this._calendar.fromJSDate(t)},toString:function(){return(this.year()<0?"-":"")+o(Math.abs(this.year()),4)+"-"+o(this.month(),2)+"-"+o(this.day(),2)}}),n(s.prototype,{_validateLevel:0,newDate:function(t,e,r){return null==t?this.today():(t.year&&(this._validate(t,e,r,u.local.invalidDate||u.regionalOptions[""].invalidDate),r=t.day(),e=t.month(),t=t.year()),new a(this,t,e,r))},today:function(){return this.fromJSDate(new Date)},epoch:function(t){return this._validate(t,this.minMonth,this.minDay,u.local.invalidYear||u.regionalOptions[""].invalidYear).year()<0?this.local.epochs[0]:this.local.epochs[1]},formatYear:function(t){var e=this._validate(t,this.minMonth,this.minDay,u.local.invalidYear||u.regionalOptions[""].invalidYear);return(e.year()<0?"-":"")+o(Math.abs(e.year()),4)},monthsInYear:function(t){return this._validate(t,this.minMonth,this.minDay,u.local.invalidYear||u.regionalOptions[""].invalidYear),12},monthOfYear:function(t,e){var r=this._validate(t,e,this.minDay,u.local.invalidMonth||u.regionalOptions[""].invalidMonth);return(r.month()+this.monthsInYear(r)-this.firstMonth)%this.monthsInYear(r)+this.minMonth},fromMonthOfYear:function(t,e){var r=(e+this.firstMonth-2*this.minMonth)%this.monthsInYear(t)+this.minMonth;return 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0!==_&&Math.min(c,_)-Math.max(u,b)>1&&("left"===i.side?(s=i._mainLinePosition,l=r.width):l=i._mainLinePosition):void 0!==m&&void 0!==x&&Math.min(c,x)-Math.max(u,m)>1&&("top"===i.side?(s=i._mainLinePosition,l=r.height):l=i._mainLinePosition)}g[y++]=[{datum:t,traceIndex:t.trace.index,dp:0,pos:t.pos,posref:t.posref,size:t.by*(a?T:1)/2,pmin:s,pmax:l}]})),g.sort((function(t,e){return t[0].posref-e[0].posref||d*(e[0].traceIndex-t[0].traceIndex)}));!i&&p<=v;){for(p++,i=!0,s=0;s.01&&L.pmin===C.pmin&&L.pmax===C.pmax){for(l=E.length-1;l>=0;l--)E[l].dp+=a;for(S.push.apply(S,E),g.splice(s+1,1),c=0,l=S.length-1;l>=0;l--)c+=S[l].dp;for(o=c/S.length,l=S.length-1;l>=0;l--)S[l].dp-=o;i=!1}else s++}g.forEach(A)}for(s=g.length-1;s>=0;s--){var P=g[s];for(l=P.length-1;l>=0;l--){var O=P[l],I=O.datum;I.offset=O.dp,I.del=O.del}}}(Zt,Wt,c,Xt.commonLabelBoundingBox),z(Zt,Wt,c._invScaleX,c._invScaleY)),s&&s.tagName){var Kt=g.getComponentMethod("annotations","hasClickToShow")(t,Ot);f(n.select(s),Kt?"pointer":"")}s&&!a&&function(t,e,r){if(!r||r.length!==t._hoverdata.length)return!0;for(var n=r.length-1;n>=0;n--){var i=r[n],a=t._hoverdata[n];if(i.curveNumber!==a.curveNumber||String(i.pointNumber)!==String(a.pointNumber)||String(i.pointNumbers)!==String(a.pointNumbers))return!0}return!1}(t,0,Pt)&&(Pt&&t.emit("plotly_unhover",{event:e,points:Pt}),t.emit("plotly_hover",{event:e,points:t._hoverdata,xaxes:_,yaxes:w,xvals:H,yvals:G}))}(t,e,r,a,s)}))},e.loneHover=function(t,e){var r=!0;Array.isArray(t)||(r=!1,t=[t]);var i=e.gd,a=U(i),o=V(i),s=O(t.map((function(t){var r=t._x0||t.x0||t.x||0,n=t._x1||t.x1||t.x||0,s=t._y0||t.y0||t.y||0,l=t._y1||t.y1||t.y||0,u=t.eventData;if(u){var c=Math.min(r,n),f=Math.max(r,n),h=Math.min(s,l),d=Math.max(s,l),v=t.trace;if(g.traceIs(v,"gl3d")){var y=i._fullLayout[v.scene]._scene.container,m=y.offsetLeft,x=y.offsetTop;c+=m,f+=m,h+=x,d+=x}u.bbox={x0:c+o,x1:f+o,y0:h+a,y1:d+a},e.inOut_bbox&&e.inOut_bbox.push(u.bbox)}else u=!1;return{color:t.color||p.defaultLine,x0:t.x0||t.x||0,x1:t.x1||t.x||0,y0:t.y0||t.y||0,y1:t.y1||t.y||0,xLabel:t.xLabel,yLabel:t.yLabel,zLabel:t.zLabel,text:t.text,name:t.name,idealAlign:t.idealAlign,borderColor:t.borderColor,fontFamily:t.fontFamily,fontSize:t.fontSize,fontColor:t.fontColor,nameLength:t.nameLength,textAlign:t.textAlign,trace:t.trace||{index:0,hoverinfo:""},xa:{_offset:0},ya:{_offset:0},index:0,hovertemplate:t.hovertemplate||!1,hovertemplateLabels:t.hovertemplateLabels||!1,eventData:u}})),{gd:i,hovermode:"closest",rotateLabels:!1,bgColor:e.bgColor||p.background,container:n.select(e.container),outerContainer:e.outerContainer||e.container}).hoverLabels,l=0,u=0;return s.sort((function(t,e){return t.y0-e.y0})).each((function(t,r){var n=t.y0-t.by/2;t.offset=n-5([\s\S]*)<\/extra>/;function O(t,e){var r=e.gd,i=r._fullLayout,a=e.hovermode,u=e.rotateLabels,f=e.bgColor,d=e.container,v=e.outerContainer,w=e.commonLabelOpts||{};if(0===t.length)return[[]];var T=e.fontFamily||m.HOVERFONT,k=e.fontSize||m.HOVERFONTSIZE,A=t[0],E=A.xa,L=A.ya,P=a.charAt(0),O=P+"Label",D=A[O];if(void 0===D&&"multicategory"===E.type)for(var z=0;zi.width-b?(g=i.width-b,e.attr("d","M"+(b-M)+",0L"+b+","+x+M+"v"+x+(2*S+m.height)+"H-"+b+"V"+x+M+"H"+(b-2*M)+"Z")):e.attr("d","M0,0L"+M+","+x+M+"H"+b+"v"+x+(2*S+m.height)+"H-"+b+"V"+x+M+"H-"+M+"Z"),Y.minX=g-b,Y.maxX=g+b,"top"===E.side?(Y.minY=y-(2*S+m.height),Y.maxY=y-S):(Y.minY=y+S,Y.maxY=y+(2*S+m.height))}else{var _,C,P;"right"===L.side?(_="start",C=1,P="",g=E._offset+E._length):(_="end",C=-1,P="-",g=E._offset),y=L._offset+(A.y0+A.y1)/2,l.attr("text-anchor",_),e.attr("d","M0,0L"+P+M+","+M+"V"+(S+m.height/2)+"h"+P+(2*S+m.width)+"V-"+(S+m.height/2)+"H"+P+M+"V-"+M+"Z"),Y.minY=y-(S+m.height/2),Y.maxY=y+(S+m.height/2),"right"===L.side?(Y.minX=g+M,Y.maxX=g+M+(2*S+m.width)):(Y.minX=g-M-(2*S+m.width),Y.maxX=g-M);var O,I=m.height/2,z=F-m.top-I,R="clip"+i._uid+"commonlabel"+L._id;if(g=0?lt:ut+ht=0?ut:bt+ht=0?ot:st+pt=0?st:_t+pt=0,"top"!==t.idealAlign&&G||!W?G?(O+=R/2,t.anchor="start"):t.anchor="middle":(O-=R/2,t.anchor="end"),t.crossPos=O;else{if(t.pos=O,G=P+z/2+Y<=B,W=P-z/2-Y>=0,"left"!==t.idealAlign&&G||!W)if(G)P+=z/2,t.anchor="start";else{t.anchor="middle";var X=Y/2,Z=P+X-B,K=P-X;Z>0&&(P-=Z),K<0&&(P+=-K)}else P-=z/2,t.anchor="end";t.crossPos=P}w.attr("text-anchor",t.anchor),E&&A.attr("text-anchor",t.anchor),e.attr("transform",s(P,O)+(u?l(_):""))})),{hoverLabels:wt,commonLabelBoundingBox:Y}}function I(t,e,r,n,i,a){var s="",l="";void 0!==t.nameOverride&&(t.name=t.nameOverride),t.name&&(t.trace._meta&&(t.name=o.templateString(t.name,t.trace._meta)),s=N(t.name,t.nameLength));var u=r.charAt(0),c="x"===u?"y":"x";void 0!==t.zLabel?(void 0!==t.xLabel&&(l+="x: "+t.xLabel+"
"),void 0!==t.yLabel&&(l+="y: "+t.yLabel+"
"),"choropleth"!==t.trace.type&&"choroplethmapbox"!==t.trace.type&&(l+=(l?"z: ":"")+t.zLabel)):e&&t[u+"Label"]===i?l=t[c+"Label"]||"":void 0===t.xLabel?void 0!==t.yLabel&&"scattercarpet"!==t.trace.type&&(l=t.yLabel):l=void 0===t.yLabel?t.xLabel:"("+t.xLabel+", "+t.yLabel+")",!t.text&&0!==t.text||Array.isArray(t.text)||(l+=(l?"
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i,s,l,u,f=r.select("text.nums"),p=t.anchor,d="end"===p?-1:1,v=(u=(l=(s={start:1,end:-1,middle:0}[(i=t).anchor])*(M+S))+s*(i.txwidth+S),"middle"===i.anchor&&(l-=i.tx2width/2,u+=i.txwidth/2+S),{alignShift:s,textShiftX:l,text2ShiftX:u}),g=D(t,e),y=g.x,m=g.y,x="middle"===p;r.select("path").attr("d",x?"M-"+a(t.bx/2+t.tx2width/2)+","+o(m-t.by/2)+"h"+a(t.bx)+"v"+o(t.by)+"h-"+a(t.bx)+"Z":"M0,0L"+a(d*M+y)+","+o(M+m)+"v"+o(t.by/2-M)+"h"+a(d*t.bx)+"v-"+o(t.by)+"H"+a(d*M+y)+"V"+o(m-M)+"Z");var b=y+v.textShiftX,_=m+t.ty0-t.by/2+S,w=t.textAlign||"auto";"auto"!==w&&("left"===w&&"start"!==p?(f.attr("text-anchor","start"),b=x?-t.bx/2-t.tx2width/2+S:-t.bx-S):"right"===w&&"end"!==p&&(f.attr("text-anchor","end"),b=x?t.bx/2-t.tx2width/2-S:t.bx+S)),f.call(c.positionText,a(b),o(_)),t.tx2width&&(r.select("text.name").call(c.positionText,a(v.text2ShiftX+v.alignShift*S+y),o(m+t.ty0-t.by/2+S)),r.select("rect").call(h.setRect,a(v.text2ShiftX+(v.alignShift-1)*t.tx2width/2+y),o(m-t.by/2-1),a(t.tx2width),o(t.by+2)))}))}function R(t,e){var r=t.index,n=t.trace||{},a=t.cd[0],s=t.cd[r]||{};function l(t){return t||i(t)&&0===t}var u=Array.isArray(r)?function(t,e){var i=o.castOption(a,r,t);return l(i)?i:o.extractOption({},n,"",e)}:function(t,e){return o.extractOption(s,n,t,e)};function c(e,r,n){var i=u(r,n);l(i)&&(t[e]=i)}if(c("hoverinfo","hi","hoverinfo"),c("bgcolor","hbg","hoverlabel.bgcolor"),c("borderColor","hbc","hoverlabel.bordercolor"),c("fontFamily","htf","hoverlabel.font.family"),c("fontSize","hts","hoverlabel.font.size"),c("fontColor","htc","hoverlabel.font.color"),c("nameLength","hnl","hoverlabel.namelength"),c("textAlign","hta","hoverlabel.align"),t.posref="y"===e||"closest"===e&&"h"===n.orientation?t.xa._offset+(t.x0+t.x1)/2:t.ya._offset+(t.y0+t.y1)/2,t.x0=o.constrain(t.x0,0,t.xa._length),t.x1=o.constrain(t.x1,0,t.xa._length),t.y0=o.constrain(t.y0,0,t.ya._length),t.y1=o.constrain(t.y1,0,t.ya._length),void 0!==t.xLabelVal&&(t.xLabel="xLabel"in t?t.xLabel:v.hoverLabelText(t.xa,t.xLabelVal,n.xhoverformat),t.xVal=t.xa.c2d(t.xLabelVal)),void 0!==t.yLabelVal&&(t.yLabel="yLabel"in t?t.yLabel:v.hoverLabelText(t.ya,t.yLabelVal,n.yhoverformat),t.yVal=t.ya.c2d(t.yLabelVal)),void 0!==t.zLabelVal&&void 0===t.zLabel&&(t.zLabel=String(t.zLabelVal)),!(isNaN(t.xerr)||"log"===t.xa.type&&t.xerr<=0)){var f=v.tickText(t.xa,t.xa.c2l(t.xerr),"hover").text;void 0!==t.xerrneg?t.xLabel+=" +"+f+" / -"+v.tickText(t.xa,t.xa.c2l(t.xerrneg),"hover").text:t.xLabel+=" ± "+f,"x"===e&&(t.distance+=1)}if(!(isNaN(t.yerr)||"log"===t.ya.type&&t.yerr<=0)){var h=v.tickText(t.ya,t.ya.c2l(t.yerr),"hover").text;void 0!==t.yerrneg?t.yLabel+=" +"+h+" / -"+v.tickText(t.ya,t.ya.c2l(t.yerrneg),"hover").text:t.yLabel+=" ± "+h,"y"===e&&(t.distance+=1)}var p=t.hoverinfo||t.trace.hoverinfo;return p&&"all"!==p&&(-1===(p=Array.isArray(p)?p:p.split("+")).indexOf("x")&&(t.xLabel=void 0),-1===p.indexOf("y")&&(t.yLabel=void 0),-1===p.indexOf("z")&&(t.zLabel=void 0),-1===p.indexOf("text")&&(t.text=void 0),-1===p.indexOf("name")&&(t.name=void 0)),t}function F(t,e,r){var n,i,o=r.container,s=r.fullLayout,l=s._size,u=r.event,c=!!e.hLinePoint,f=!!e.vLinePoint;if(o.selectAll(".spikeline").remove(),f||c){var d=p.combine(s.plot_bgcolor,s.paper_bgcolor);if(c){var g,y,m=e.hLinePoint;n=m&&m.xa,"cursor"===(i=m&&m.ya).spikesnap?(g=u.pointerX,y=u.pointerY):(g=n._offset+m.x,y=i._offset+m.y);var x,b,_=a.readability(m.color,d)<1.5?p.contrast(d):m.color,w=i.spikemode,T=i.spikethickness,k=i.spikecolor||_,A=v.getPxPosition(t,i);if(-1!==w.indexOf("toaxis")||-1!==w.indexOf("across")){if(-1!==w.indexOf("toaxis")&&(x=A,b=g),-1!==w.indexOf("across")){var 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l=o.selectAll("g."+f.headerGroupClassName).data(r,p);l.enter().append("g").classed(f.headerGroupClassName,!0);for(var u=s.ensureSingle(o,"g",f.dropdownButtonGroupClassName,(function(t){t.style("pointer-events","all")})),c=0;cw,A=s.barLength+2*s.barPad,M=s.barWidth+2*s.barPad,S=d,E=g+y;E+M>u&&(E=u-M);var L=this.container.selectAll("rect.scrollbar-horizontal").data(k?[0]:[]);L.exit().on(".drag",null).remove(),L.enter().append("rect").classed("scrollbar-horizontal",!0).call(i.fill,s.barColor),k?(this.hbar=L.attr({rx:s.barRadius,ry:s.barRadius,x:S,y:E,width:A,height:M}),this._hbarXMin=S+A/2,this._hbarTranslateMax=w-A):(delete this.hbar,delete this._hbarXMin,delete this._hbarTranslateMax);var C=y>T,P=s.barWidth+2*s.barPad,O=s.barLength+2*s.barPad,I=d+v,D=g;I+P>l&&(I=l-P);var z=this.container.selectAll("rect.scrollbar-vertical").data(C?[0]:[]);z.exit().on(".drag",null).remove(),z.enter().append("rect").classed("scrollbar-vertical",!0).call(i.fill,s.barColor),C?(this.vbar=z.attr({rx:s.barRadius,ry:s.barRadius,x:I,y:D,width:P,height:O}),this._vbarYMin=D+O/2,this._vbarTranslateMax=T-O):(delete this.vbar,delete this._vbarYMin,delete this._vbarTranslateMax);var R=this.id,F=c-.5,B=C?f+P+.5:f+.5,N=h-.5,j=k?p+M+.5:p+.5,U=o._topdefs.selectAll("#"+R).data(k||C?[0]:[]);if(U.exit().remove(),U.enter().append("clipPath").attr("id",R).append("rect"),k||C?(this._clipRect=U.select("rect").attr({x:Math.floor(F),y:Math.floor(N),width:Math.ceil(B)-Math.floor(F),height:Math.ceil(j)-Math.floor(N)}),this.container.call(a.setClipUrl,R,this.gd),this.bg.attr({x:d,y:g,width:v,height:y})):(this.bg.attr({width:0,height:0}),this.container.on("wheel",null).on(".drag",null).call(a.setClipUrl,null),delete this._clipRect),k||C){var 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r=this.position.w-this._box.w,n=this.position.h-this._box.h;if(t=o.constrain(t||0,0,r),e=o.constrain(e||0,0,n),this.translateX=t,this.translateY=e,this.container.call(a.setTranslate,this._box.l-this.position.l-t,this._box.t-this.position.t-e),this._clipRect&&this._clipRect.attr({x:Math.floor(this.position.l+t-.5),y:Math.floor(this.position.t+e-.5)}),this.hbar){var i=t/r;this.hbar.call(a.setTranslate,t+i*this._hbarTranslateMax,e)}if(this.vbar){var s=e/n;this.vbar.call(a.setTranslate,t,e+s*this._vbarTranslateMax)}}},84284:function(t){"use strict";t.exports={FROM_BL:{left:0,center:.5,right:1,bottom:0,middle:.5,top:1},FROM_TL:{left:0,center:.5,right:1,bottom:1,middle:.5,top:0},FROM_BR:{left:1,center:.5,right:0,bottom:0,middle:.5,top:1},LINE_SPACING:1.3,CAP_SHIFT:.7,MID_SHIFT:.35,OPPOSITE_SIDE:{left:"right",right:"left",top:"bottom",bottom:"top"}}},36208:function(t){"use strict";t.exports={axisRefDescription:function(t,e,r){return["If set to a",t,"axis id (e.g. *"+t+"* or","*"+t+"2*), the 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r=t[i[e]];r.visible?(this.enabled[e]=r.showspikes,this.colors[e]=n(r.spikecolor),this.drawSides[e]=r.spikesides,this.lineWidth[e]=r.spikethickness):(this.enabled[e]=!1,this.drawSides[e]=!1)}},t.exports=function(t){var e=new a;return e.merge(t),e}},87152:function(t,e,r){"use strict";t.exports=function(t){for(var e=t.axesOptions,r=t.glplot.axesPixels,s=t.fullSceneLayout,l=[[],[],[]],u=0;u<3;++u){var c=s[a[u]];if(c._length=(r[u].hi-r[u].lo)*r[u].pixelsPerDataUnit/t.dataScale[u],Math.abs(c._length)===1/0||isNaN(c._length))l[u]=[];else{c._input_range=c.range.slice(),c.range[0]=r[u].lo/t.dataScale[u],c.range[1]=r[u].hi/t.dataScale[u],c._m=1/(t.dataScale[u]*r[u].pixelsPerDataUnit),c.range[0]===c.range[1]&&(c.range[0]-=1,c.range[1]+=1);var f=c.tickmode;if("auto"===c.tickmode){c.tickmode="linear";var h=c.nticks||i.constrain(c._length/40,4,9);n.autoTicks(c,Math.abs(c.range[1]-c.range[0])/h)}for(var p=n.calcTicks(c,{msUTC:!0}),d=0;d/g," 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F=x[u=(l=c[M[o]]).type];R[o]=Math.pow(F.acc,1/F.count)/p[o]}g="data"===D||Math.max.apply(null,R)/Math.min.apply(null,R)<=4?R:[1,1,1]}c.aspectratio.x=f.aspectratio.x=g[0],c.aspectratio.y=f.aspectratio.y=g[1],c.aspectratio.z=f.aspectratio.z=g[2],n.glplot.setAspectratio(c.aspectratio),n.viewInitial.aspectratio||(n.viewInitial.aspectratio={x:c.aspectratio.x,y:c.aspectratio.y,z:c.aspectratio.z}),n.viewInitial.aspectmode||(n.viewInitial.aspectmode=c.aspectmode);var B=c.domain||null,N=e._size||null;if(B&&N){var j=n.container.style;j.position="absolute",j.left=N.l+B.x[0]*N.w+"px",j.top=N.t+(1-B.y[1])*N.h+"px",j.width=N.w*(B.x[1]-B.x[0])+"px",j.height=N.h*(B.y[1]-B.y[0])+"px"}n.glplot.redraw()}},k.destroy=function(){var t=this;t.glplot&&(t.camera.mouseListener.enabled=!1,t.container.removeEventListener("wheel",t.camera.wheelListener),t.camera=null,t.glplot.dispose(),t.container.parentNode.removeChild(t.container),t.glplot=null)},k.getCamera=function(){var t,e=this;return e.camera.view.recalcMatrix(e.camera.view.lastT()),{up:{x:(t=e.camera).up[0],y:t.up[1],z:t.up[2]},center:{x:t.center[0],y:t.center[1],z:t.center[2]},eye:{x:t.eye[0],y:t.eye[1],z:t.eye[2]},projection:{type:!0===t._ortho?"orthographic":"perspective"}}},k.setViewport=function(t){var e,r=this,n=t.camera;r.camera.lookAt.apply(this,[[(e=n).eye.x,e.eye.y,e.eye.z],[e.center.x,e.center.y,e.center.z],[e.up.x,e.up.y,e.up.z]]),r.glplot.setAspectratio(t.aspectratio),"orthographic"===n.projection.type!==r.camera._ortho&&(r.glplot.redraw(),r.glplot.clearRGBA(),r.glplot.dispose(),r.initializeGLPlot())},k.isCameraChanged=function(t){var e=this.getCamera(),r=f.nestedProperty(t,this.id+".camera").get();function n(t,e,r,n){var i=["up","center","eye"],a=["x","y","z"];return e[i[r]]&&t[i[r]][a[n]]===e[i[r]][a[n]]}var i=!1;if(void 0===r)i=!0;else{for(var a=0;a<3;a++)for(var o=0;o<3;o++)if(!n(e,r,a,o)){i=!0;break}(!r.projection||e.projection&&e.projection.type!==r.projection.type)&&(i=!0)}return i},k.isAspectChanged=function(t){var e=this.glplot.getAspectratio(),r=f.nestedProperty(t,this.id+".aspectratio").get();return void 0===r||r.x!==e.x||r.y!==e.y||r.z!==e.z},k.saveLayout=function(t){var e,r,n,i,a,o,s=this,l=s.fullLayout,u=s.isCameraChanged(t),h=s.isAspectChanged(t),p=u||h;if(p){var d={};u&&(e=s.getCamera(),n=(r=f.nestedProperty(t,s.id+".camera")).get(),d[s.id+".camera"]=n),h&&(i=s.glplot.getAspectratio(),o=(a=f.nestedProperty(t,s.id+".aspectratio")).get(),d[s.id+".aspectratio"]=o),c.call("_storeDirectGUIEdit",t,l._preGUI,d),u&&(r.set(e),f.nestedProperty(l,s.id+".camera").set(e)),h&&(a.set(i),f.nestedProperty(l,s.id+".aspectratio").set(i),s.glplot.redraw())}return p},k.updateFx=function(t,e){var r=this,n=r.camera;if(n)if("orbit"===t)n.mode="orbit",n.keyBindingMode="rotate";else if("turntable"===t){n.up=[0,0,1],n.mode="turntable",n.keyBindingMode="rotate";var i=r.graphDiv,a=i._fullLayout,o=r.fullSceneLayout.camera,s=o.up.x,l=o.up.y,u=o.up.z;if(u/Math.sqrt(s*s+l*l+u*u)<.999){var h=r.id+".camera.up",p={x:0,y:0,z:1},d={};d[h]=p;var v=i.layout;c.call("_storeDirectGUIEdit",v,a._preGUI,d),o.up=p,f.nestedProperty(v,h).set(p)}}else n.keyBindingMode=t;r.fullSceneLayout.hovermode=e},k.toImage=function(t){var e=this;t||(t="png"),e.staticMode&&e.container.appendChild(n),e.glplot.redraw();var r=e.glplot.gl,i=r.drawingBufferWidth,a=r.drawingBufferHeight;r.bindFramebuffer(r.FRAMEBUFFER,null);var o=new Uint8Array(i*a*4);r.readPixels(0,0,i,a,r.RGBA,r.UNSIGNED_BYTE,o),function(t,e,r){for(var n=0,i=r-1;n0)for(var s=255/o,l=0;l<3;++l)t[a+l]=Math.min(s*t[a+l],255)}}(o,i,a);var s=document.createElement("canvas");s.width=i,s.height=a;var 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t=i.numbersScaler(h);z+=t[2];var e,r=S(v,"numbersScale",1,t[0],z,Math.min);v._scaleNumbers||(r=1),e=v._isAngular?y-r*h.bottom:y-r*(h.top+h.bottom)/2,v._numbersTop=r*h.top+e;var n=h[T];"center"===T&&(n=(h.left+h.right)/2);var a=g-r*n;return a=S(v,"numbersTranslate",0,a,z,Math.max),l(a,e)+s(r)}))}(t,I,e,{numbersX:v,numbersY:E,numbersScaler:L,transitionOpts:r,onComplete:g}),D&&(C={range:O.gauge.axis.range,color:O.gauge.bgcolor,line:{color:O.gauge.bordercolor,width:0},thickness:1},P={range:O.gauge.axis.range,color:"rgba(0, 0, 0, 0)",line:{color:O.gauge.bordercolor,width:O.gauge.borderwidth},thickness:1});var W=I.selectAll("g.angular").data(z?e:[]);W.exit().remove();var Y=I.selectAll("g.angularaxis").data(z?e:[]);Y.exit().remove(),z&&function(t,e,r,a){var o,s,f,h,p=r[0].trace,v=a.size,g=a.radius,y=a.innerRadius,m=a.gaugeBg,x=a.gaugeOutline,b=[v.l+v.w/2,v.t+v.h/2+g/2],_=a.gauge,A=a.layer,M=a.transitionOpts,S=a.onComplete,E=Math.PI/2;function L(t){var 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U,V,q,H=j.select("path");w(M)?(H.transition().duration(M.duration).ease(M.easing).each("end",(function(){S&&S()})).each("interrupt",(function(){S&&S()})).attrTween("d",(U=N,V=L(r[0].lastY),q=L(r[0].y),function(){var t=i(V,q);return function(e){return U.endAngle(t(e))()}})),p._lastValue=r[0].y):H.attr("d","number"==typeof r[0].y?N.endAngle(L(r[0].y)):"M0,0Z"),H.call(T),j.exit().remove(),F=[];var G=p.gauge.threshold.value;(G||0===G)&&F.push({range:[G,G],color:p.gauge.threshold.color,line:{color:p.gauge.threshold.line.color,width:p.gauge.threshold.line.width},thickness:p.gauge.threshold.thickness});var W=_.selectAll("g.threshold-arc").data(F);W.enter().append("g").classed("threshold-arc",!0).append("path"),W.select("path").call(P).call(T),W.exit().remove();var Y=_.selectAll("g.gauge-outline").data([x]);Y.enter().append("g").classed("gauge-outline",!0).append("path"),Y.select("path").call(P).call(T),Y.exit().remove()}(t,0,e,{radius:U,innerRadius:V,gauge:W,layer:Y,size:B,gaugeBg:C,gaugeOutline:P,transitionOpts:r,onComplete:g});var X=I.selectAll("g.bullet").data(R?e:[]);X.exit().remove();var Z=I.selectAll("g.bulletaxis").data(R?e:[]);Z.exit().remove(),R&&function(t,e,r,n){var i,a,o,s,u,c=r[0].trace,f=n.gauge,p=n.layer,v=n.gaugeBg,g=n.gaugeOutline,y=n.size,x=c.domain,b=n.transitionOpts,_=n.onComplete;f.enter().append("g").classed("bullet",!0),f.attr("transform",l(y.l,y.t)),p.enter().append("g").classed("bulletaxis",!0).classed("crisp",!0),p.selectAll("g.xbulletaxistick,path,text").remove();var A=y.h,M=c.gauge.bar.thickness*A,S=x.x[0],E=x.x[0]+(x.x[1]-x.x[0])*(c._hasNumber||c._hasDelta?1-h.bulletNumberDomainSize:1);function L(t){t.attr("width",(function(t){return Math.max(0,i.c2p(t.range[1])-i.c2p(t.range[0]))})).attr("x",(function(t){return 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O=f.selectAll("g.value-bullet").data([c.gauge.bar]);O.enter().append("g").classed("value-bullet",!0).append("rect"),O.select("rect").attr("height",M).attr("y",(A-M)/2).call(T),w(b)?O.select("rect").transition().duration(b.duration).ease(b.easing).each("end",(function(){_&&_()})).each("interrupt",(function(){_&&_()})).attr("width",Math.max(0,i.c2p(Math.min(c.gauge.axis.range[1],r[0].y)))):O.select("rect").attr("width","number"==typeof r[0].y?Math.max(0,i.c2p(Math.min(c.gauge.axis.range[1],r[0].y))):0),O.exit().remove();var I=r.filter((function(){return 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n=r(49084),i=r(29736).axisHoverFormat,a=r(21776).Ks,o=r(16716),s=r(45464),l=r(92880).extendFlat;t.exports=l({x:{valType:"data_array",editType:"calc+clearAxisTypes"},y:{valType:"data_array",editType:"calc+clearAxisTypes"},z:{valType:"data_array",editType:"calc+clearAxisTypes"},i:{valType:"data_array",editType:"calc"},j:{valType:"data_array",editType:"calc"},k:{valType:"data_array",editType:"calc"},text:{valType:"string",dflt:"",arrayOk:!0,editType:"calc"},hovertext:{valType:"string",dflt:"",arrayOk:!0,editType:"calc"},hovertemplate:a({editType:"calc"}),xhoverformat:i("x"),yhoverformat:i("y"),zhoverformat:i("z"),delaunayaxis:{valType:"enumerated",values:["x","y","z"],dflt:"z",editType:"calc"},alphahull:{valType:"number",dflt:-1,editType:"calc"},intensity:{valType:"data_array",editType:"calc"},intensitymode:{valType:"enumerated",values:["vertex","cell"],dflt:"vertex",editType:"calc"},color:{valType:"color",editType:"calc"},vertexcolor:{valType:"data_array",editType:"calc"},facecolor:{valType:"data_array",editType:"calc"},transforms:void 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p=s(t,e,{name:"dimensions",handleItemDefaults:f}),d=function(t,e,r,o,s){s("line.shape"),s("line.hovertemplate");var l=s("line.color",o.colorway[0]);if(i(t,"line")&&n.isArrayOrTypedArray(l)){if(l.length)return s("line.colorscale"),a(t,e,o,s,{prefix:"line.",cLetter:"c"}),l.length;e.line.color=r}return 1/0}(t,e,r,c,h);o(e,c,h),Array.isArray(p)&&p.length||(e.visible=!1),u(e,p,"values",d),h("hoveron"),h("hovertemplate"),h("arrangement"),h("bundlecolors"),h("sortpaths"),h("counts");var v={family:c.font.family,size:Math.round(c.font.size),color:c.font.color};n.coerceFont(h,"labelfont",v);var g={family:c.font.family,size:Math.round(c.font.size/1.2),color:c.font.color};n.coerceFont(h,"tickfont",g)}},22020:function(t,e,r){"use strict";t.exports={attributes:r(72140),supplyDefaults:r(76671),calc:r(69136),plot:r(60268),colorbar:{container:"line",min:"cmin",max:"cmax"},moduleType:"trace",name:"parcats",basePlotModule:r(91800),categories:["noOpacity"],meta:{}}},51036:function(t,e,r){"use strict";var n=r(33428),i=r(67756).Gz,a=r(36424),o=r(93024),s=r(3400),l=s.strTranslate,u=r(43616),c=r(49760),f=r(72736);function h(t,e,r,i){var a=e._context.staticPlot,o=t.map(F.bind(0,e,r)),c=i.selectAll("g.parcatslayer").data([null]);c.enter().append("g").attr("class","parcatslayer").style("pointer-events",a?"none":"all");var h=c.selectAll("g.trace.parcats").data(o,p),m=h.enter().append("g").attr("class","trace parcats");h.attr("transform",(function(t){return l(t.x,t.y)})),m.append("g").attr("class","paths");var x=h.select("g.paths").selectAll("path.path").data((function(t){return t.paths}),p);x.attr("fill",(function(t){return t.model.color}));var w=x.enter().append("path").attr("class","path").attr("stroke-opacity",0).attr("fill",(function(t){return t.model.color})).attr("fill-opacity",0);_(w),x.attr("d",(function(t){return t.svgD})),w.empty()||x.sort(v),x.exit().remove(),x.on("mouseover",g).on("mouseout",y).on("click",b),m.append("g").attr("class","dimensions");var A=h.select("g.dimensions").selectAll("g.dimension").data((function(t){return t.dimensions}),p);A.enter().append("g").attr("class","dimension"),A.attr("transform",(function(t){return l(t.x,0)})),A.exit().remove();var M=A.selectAll("g.category").data((function(t){return t.categories}),p),S=M.enter().append("g").attr("class","category");M.attr("transform",(function(t){return l(0,t.y)})),S.append("rect").attr("class","catrect").attr("pointer-events","none"),M.select("rect.catrect").attr("fill","none").attr("width",(function(t){return t.width})).attr("height",(function(t){return t.height})),T(S);var E=M.selectAll("rect.bandrect").data((function(t){return t.bands}),p);E.each((function(){s.raiseToTop(this)})),E.attr("fill",(function(t){return t.color}));var D=E.enter().append("rect").attr("class","bandrect").attr("stroke-opacity",0).attr("fill",(function(t){return t.color})).attr("fill-opacity",0);E.attr("fill",(function(t){return t.color})).attr("width",(function(t){return t.width})).attr("height",(function(t){return t.height})).attr("y",(function(t){return t.y})).attr("cursor",(function(t){return"fixed"===t.parcatsViewModel.arrangement?"default":"perpendicular"===t.parcatsViewModel.arrangement?"ns-resize":"move"})),k(D),E.exit().remove(),S.append("text").attr("class","catlabel").attr("pointer-events","none");var z=e._fullLayout.paper_bgcolor;M.select("text.catlabel").attr("text-anchor",(function(t){return d(t)?"start":"end"})).attr("alignment-baseline","middle").style("text-shadow",f.makeTextShadow(z)).style("fill","rgb(0, 0, 0)").attr("x",(function(t){return d(t)?t.width+5:-5})).attr("y",(function(t){return t.height/2})).text((function(t){return t.model.categoryLabel})).each((function(t){u.font(n.select(this),t.parcatsViewModel.categorylabelfont),f.convertToTspans(n.select(this),e)})),S.append("text").attr("class","dimlabel"),M.select("text.dimlabel").attr("text-anchor","middle").attr("alignment-baseline","baseline").attr("cursor",(function(t){return"fixed"===t.parcatsViewModel.arrangement?"default":"ew-resize"})).attr("x",(function(t){return t.width/2})).attr("y",-5).text((function(t,e){return 0===e?t.parcatsViewModel.model.dimensions[t.model.dimensionInd].dimensionLabel:null})).each((function(t){u.font(n.select(this),t.parcatsViewModel.labelfont)})),M.selectAll("rect.bandrect").on("mouseover",L).on("mouseout",C),M.exit().remove(),A.call(n.behavior.drag().origin((function(t){return{x:t.x,y:0}})).on("dragstart",P).on("drag",O).on("dragend",I)),h.each((function(t){t.traceSelection=n.select(this),t.pathSelection=n.select(this).selectAll("g.paths").selectAll("path.path"),t.dimensionSelection=n.select(this).selectAll("g.dimensions").selectAll("g.dimension")})),h.exit().remove()}function p(t){return t.key}function d(t){var e=t.parcatsViewModel.dimensions.length,r=t.parcatsViewModel.dimensions[e-1].model.dimensionInd;return t.model.dimensionInd===r}function v(t,e){return t.model.rawColor>e.model.rawColor?1:t.model.rawColor"),L=n.mouse(f)[0];o.loneHover({trace:h,x:b-d.left+v.left,y:_-d.top+v.top,text:E,color:t.model.color,borderColor:"black",fontFamily:'Monaco, "Courier New", 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e=t.parcatsViewModel;e.dragDimension||(_(e.pathSelection),T(e.dimensionSelection.selectAll("g.category")),k(e.dimensionSelection.selectAll("g.category").selectAll("rect.bandrect")),o.loneUnhover(e.graphDiv._fullLayout._hoverlayer.node()),e.pathSelection.sort(v),-1!==e.hoverinfoItems.indexOf("skip"))||("color"===t.parcatsViewModel.hoveron?S(this,"plotly_unhover",n.event):M(this,"plotly_unhover",n.event))}function P(t){"fixed"!==t.parcatsViewModel.arrangement&&(t.dragDimensionDisplayInd=t.model.displayInd,t.initialDragDimensionDisplayInds=t.parcatsViewModel.model.dimensions.map((function(t){return t.displayInd})),t.dragHasMoved=!1,t.dragCategoryDisplayInd=null,n.select(this).selectAll("g.category").select("rect.catrect").each((function(e){var r=n.mouse(this)[0],i=n.mouse(this)[1];-2<=r&&r<=e.width+2&&-2<=i&&i<=e.height+2&&(t.dragCategoryDisplayInd=e.model.displayInd,t.initialDragCategoryDisplayInds=t.model.categories.map((function(t){return 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t,e,r=[];return{set:function(n){1===(r=n.map((function(t){return t.slice().sort(s)})).sort(A)).length&&r[0][0]===-1/0&&r[0][1]===1/0&&(r=[[0,-1]]),t=S(r),e=r.reduce((function(t,e){return[Math.min(t[0],e[0]),Math.max(t[1],e[1])]}),[1/0,-1/0])},get:function(){return r.slice()},getConsolidated:function(){return t},getBounds:function(){return e}}}();return l.set(r),{filter:l,filterSpecified:e,svgBrush:{extent:[],brushStartCallback:n,brushCallback:(o=i,function(t){var e=t.brush,r=function(t){return t.svgBrush.extent.map((function(t){return t.slice()}))}(e),n=r.slice();e.filter.set(n),o()}),brushEndCallback:a}}},ensureAxisBrush:function(t,e,r){var i=t.selectAll("."+n.cn.axisBrush).data(o,a);i.enter().append("g").classed(n.cn.axisBrush,!0),function(t,e,r){var 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n=e[0].trace;c[r]=n.index;var i=f[r]=n._fullInput.index;l[r]=t.data[i].dimensions,u[r]=t.data[i].dimensions.slice()})),n(t,e,{width:h.w,height:h.h,margin:{t:h.t,r:h.r,b:h.b,l:h.l}},{filterChanged:function(e,n,i){var a=u[e][n],o=i.map((function(t){return t.slice()})),s="dimensions["+n+"].constraintrange",l=r._tracePreGUI[t._fullData[c[e]]._fullInput.uid];if(void 0===l[s]){var h=a.constraintrange;l[s]=h||null}var p=t._fullData[c[e]].dimensions[n];o.length?(1===o.length&&(o=o[0]),a.constraintrange=o,p.constraintrange=o.slice(),o=[o]):(delete a.constraintrange,delete p.constraintrange,o=null);var d={};d[s]=o,t.emit("plotly_restyle",[d,[f[e]]])},hover:function(e){t.emit("plotly_hover",e)},unhover:function(e){t.emit("plotly_unhover",e)},axesMoved:function(e,r){var n=function(t,e){return function(r,n){return s(t,e,r)-s(t,e,n)}}(r,u[e].filter(a));l[e].sort(n),u[e].filter((function(t){return!a(t)})).sort((function(t){return 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n=r(45464),i=r(86968).u,a=r(25376),o=r(22548),s=r(21776).Ks,l=r(21776).Gw,u=r(92880).extendFlat,c=r(98192).c,f=a({editType:"plot",arrayOk:!0,colorEditType:"plot"});t.exports={labels:{valType:"data_array",editType:"calc"},label0:{valType:"number",dflt:0,editType:"calc"},dlabel:{valType:"number",dflt:1,editType:"calc"},values:{valType:"data_array",editType:"calc"},marker:{colors:{valType:"data_array",editType:"calc"},line:{color:{valType:"color",dflt:o.defaultLine,arrayOk:!0,editType:"style"},width:{valType:"number",min:0,dflt:0,arrayOk:!0,editType:"style"},editType:"calc"},pattern:c,editType:"calc"},text:{valType:"data_array",editType:"plot"},hovertext:{valType:"string",dflt:"",arrayOk:!0,editType:"style"},scalegroup:{valType:"string",dflt:"",editType:"calc"},textinfo:{valType:"flaglist",flags:["label","text","value","percent"],extras:["none"],editType:"calc"},hoverinfo:u({},n.hoverinfo,{flags:["label","text","value","percent","name"]}),hovertemplate:s({},{keys:["label","color","value","percent","text"]}),texttemplate:l({editType:"plot"},{keys:["label","color","value","percent","text"]}),textposition:{valType:"enumerated",values:["inside","outside","auto","none"],dflt:"auto",arrayOk:!0,editType:"plot"},textfont:u({},f,{}),insidetextorientation:{valType:"enumerated",values:["horizontal","radial","tangential","auto"],dflt:"auto",editType:"plot"},insidetextfont:u({},f,{}),outsidetextfont:u({},f,{}),automargin:{valType:"boolean",dflt:!1,editType:"plot"},title:{text:{valType:"string",dflt:"",editType:"plot"},font:u({},f,{}),position:{valType:"enumerated",values:["top 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n=r(38248),i=r(49760),a=r(76308),o={};function s(t){return function(e,r){return!!e&&!!(e=i(e)).isValid()&&(e=a.addOpacity(e,e.getAlpha()),t[r]||(t[r]=e),e)}}function l(t,e){var r,n=JSON.stringify(t),a=e[n];if(!a){for(a=t.slice(),r=0;r=0})),("funnelarea"===e.type?y:e.sort)&&a.sort((function(t,e){return e.v-t.v})),a[0]&&(a[0].vTotal=g),a},crossTraceCalc:function(t,e){var r=(e||{}).type;r||(r="pie");var n=t._fullLayout,i=t.calcdata,a=n[r+"colorway"],s=n["_"+r+"colormap"];n["extend"+r+"colors"]&&(a=l(a,o));for(var u=0,c=0;c0){s=!0;break}}s||(o=0)}return{hasLabels:r,hasValues:a,len:o}}function c(t,e,r,n,i){n("marker.line.width")&&n("marker.line.color",i?void 0:r.paper_bgcolor);var a=n("marker.colors");l(n,"marker.pattern",a),t.marker&&!e.marker.pattern.fgcolor&&(e.marker.pattern.fgcolor=t.marker.colors),e.marker.pattern.bgcolor||(e.marker.pattern.bgcolor=r.paper_bgcolor)}t.exports={handleLabelsAndValues:u,handleMarkerDefaults:c,supplyDefaults:function(t,e,r,n){function l(r,n){return i.coerce(t,e,a,r,n)}var f=u(l("labels"),l("values")),h=f.len;if(e._hasLabels=f.hasLabels,e._hasValues=f.hasValues,!e._hasLabels&&e._hasValues&&(l("label0"),l("dlabel")),h){e._length=h,c(t,e,n,l,!0),l("scalegroup");var p,d=l("text"),v=l("texttemplate");if(v||(p=l("textinfo",i.isArrayOrTypedArray(d)?"text+percent":"percent")),l("hovertext"),l("hovertemplate"),v||p&&"none"!==p){var g=l("textposition");s(t,e,n,l,g,{moduleHasSelected:!1,moduleHasUnselected:!1,moduleHasConstrain:!1,moduleHasCliponaxis:!1,moduleHasTextangle:!1,moduleHasInsideanchor:!1}),(Array.isArray(g)||"auto"===g||"outside"===g)&&l("automargin"),("inside"===g||"auto"===g||Array.isArray(g))&&l("insidetextorientation")}o(e,n,l);var y=l("hole");if(l("title.text")){var m=l("title.position",y?"middle center":"top center");y||"middle center"!==m||(e.title.position="top center"),i.coerceFont(l,"title.font",n.font)}l("sort"),l("direction"),l("rotation"),l("pull")}else e.visible=!1}}},53644:function(t,e,r){"use strict";var n=r(10624).appendArrayMultiPointValues;t.exports=function(t,e){var r={curveNumber:e.index,pointNumbers:t.pts,data:e._input,fullData:e,label:t.label,color:t.color,value:t.v,percent:t.percent,text:t.text,bbox:t.bbox,v:t.v};return 1===t.pts.length&&(r.pointNumber=r.i=t.pts[0]),n(r,e,t.pts),"funnelarea"===e.type&&(delete r.v,delete r.i),r}},21552:function(t,e,r){"use strict";var n=r(43616),i=r(76308);t.exports=function(t,e,r,a){var o=r.marker.pattern;o&&o.shape?n.pointStyle(t,r,a,e):i.fill(t,e.color)}},69656:function(t,e,r){"use strict";var n=r(3400);function i(t){return-1!==t.indexOf("e")?t.replace(/[.]?0+e/,"e"):-1!==t.indexOf(".")?t.replace(/[.]?0+$/,""):t}e.formatPiePercent=function(t,e){var r=i((100*t).toPrecision(3));return n.numSeparate(r,e)+"%"},e.formatPieValue=function(t,e){var r=i(t.toPrecision(10));return n.numSeparate(r,e)},e.getFirstFilled=function(t,e){if(n.isArrayOrTypedArray(t))for(var r=0;r"),name:f.hovertemplate||-1!==h.indexOf("name")?f.name:void 0,idealAlign:t.pxmid[0]<0?"left":"right",color:g.castOption(_.bgcolor,t.pts)||t.color,borderColor:g.castOption(_.bordercolor,t.pts),fontFamily:g.castOption(w.family,t.pts),fontSize:g.castOption(w.size,t.pts),fontColor:g.castOption(w.color,t.pts),nameLength:g.castOption(_.namelength,t.pts),textAlign:g.castOption(_.align,t.pts),hovertemplate:g.castOption(f.hovertemplate,t.pts),hovertemplateLabels:t,eventData:[y(t,f)]},{container:r._hoverlayer.node(),outerContainer:r._paper.node(),gd:e,inOut_bbox:T}),t.bbox=T[0],u._hasHoverLabel=!0}u._hasHoverEvent=!0,e.emit("plotly_hover",{points:[y(t,f)],event:n.event})}})),t.on("mouseout",(function(t){var r=e._fullLayout,i=e._fullData[u.index],o=n.select(this).datum();u._hasHoverEvent&&(t.originalEvent=n.event,e.emit("plotly_unhover",{points:[y(o,i)],event:n.event}),u._hasHoverEvent=!1),u._hasHoverLabel&&(a.loneUnhover(r._hoverlayer.node()),u._hasHoverLabel=!1)})),t.on("click",(function(t){var r=e._fullLayout,i=e._fullData[u.index];e._dragging||!1===r.hovermode||(e._hoverdata=[y(t,i)],a.click(e,n.event))}))}function b(t,e,r){var n=g.castOption(t.insidetextfont.color,e.pts);!n&&t._input.textfont&&(n=g.castOption(t._input.textfont.color,e.pts));var i=g.castOption(t.insidetextfont.family,e.pts)||g.castOption(t.textfont.family,e.pts)||r.family,a=g.castOption(t.insidetextfont.size,e.pts)||g.castOption(t.textfont.size,e.pts)||r.size;return{color:n||o.contrast(e.color),family:i,size:a}}function _(t,e){for(var r,n,i=0;ie&&e>n||r=-4;g-=2)y(Math.PI*g,"tan");for(g=4;g>=-4;g-=2)y(Math.PI*(g+1),"tan")}if(f||p){for(g=4;g>=-4;g-=2)y(Math.PI*(g+1.5),"rad");for(g=4;g>=-4;g-=2)y(Math.PI*(g+.5),"rad")}}if(s||d||f){var m=Math.sqrt(t.width*t.width+t.height*t.height);if((a={scale:i*n*2/m,rCenter:1-i,rotate:0}).textPosAngle=(e.startangle+e.stopangle)/2,a.scale>=1)return a;v.push(a)}(d||p)&&((a=T(t,n,o,l,u)).textPosAngle=(e.startangle+e.stopangle)/2,v.push(a)),(d||h)&&((a=k(t,n,o,l,u)).textPosAngle=(e.startangle+e.stopangle)/2,v.push(a));for(var x=0,b=0,_=0;_=1)break}return v[x]}function T(t,e,r,n,i){e=Math.max(0,e-2*v);var a=t.width/t.height,o=S(a,n,e,r);return{scale:2*o/t.height,rCenter:A(a,o/e),rotate:M(i)}}function k(t,e,r,n,i){e=Math.max(0,e-2*v);var a=t.height/t.width,o=S(a,n,e,r);return{scale:2*o/t.width,rCenter:A(a,o/e),rotate:M(i+Math.PI/2)}}function A(t,e){return Math.cos(e)-t*e}function M(t){return(180/Math.PI*t+720)%180-90}function S(t,e,r,n){var i=t+1/(2*Math.tan(e));return r*Math.min(1/(Math.sqrt(i*i+.5)+i),n/(Math.sqrt(t*t+n/2)+t))}function E(t,e){return t.v!==e.vTotal||e.trace.hole?Math.min(1/(1+1/Math.sin(t.halfangle)),t.ring/2):1}function L(t,e){var r=e.pxmid[0],n=e.pxmid[1],i=t.width/2,a=t.height/2;return r<0&&(i*=-1),n<0&&(a*=-1),{scale:1,rCenter:1,rotate:0,x:i+Math.abs(a)*(i>0?1:-1)/2,y:a/(1+r*r/(n*n)),outside:!0}}function C(t,e){var r,n,i,a=t.trace,o={x:t.cx,y:t.cy},s={tx:0,ty:0};s.ty+=a.title.font.size,i=O(a),-1!==a.title.position.indexOf("top")?(o.y-=(1+i)*t.r,s.ty-=t.titleBox.height):-1!==a.title.position.indexOf("bottom")&&(o.y+=(1+i)*t.r);var l,u=t.r/(void 0===(l=t.trace.aspectratio)?1:l),c=e.w*(a.domain.x[1]-a.domain.x[0])/2;return-1!==a.title.position.indexOf("left")?(c+=u,o.x-=(1+i)*u,s.tx+=t.titleBox.width/2):-1!==a.title.position.indexOf("center")?c*=2:-1!==a.title.position.indexOf("right")&&(c+=u,o.x+=(1+i)*u,s.tx-=t.titleBox.width/2),r=c/t.titleBox.width,n=P(t,e)/t.titleBox.height,{x:o.x,y:o.y,scale:Math.min(r,n),tx:s.tx,ty:s.ty}}function P(t,e){var r=t.trace,n=e.h*(r.domain.y[1]-r.domain.y[0]);return Math.min(t.titleBox.height,n/2)}function O(t){var e,r=t.pull;if(!r)return 0;if(l.isArrayOrTypedArray(r))for(r=0,e=0;er&&(r=t.pull[e]);return r}function I(t,e){for(var r=[],n=0;n1?c=(u=r.r)/i.aspectratio:u=(c=r.r)*i.aspectratio,l=(u*=(1+i.baseratio)/2)*c}o=Math.min(o,l/r.vTotal)}for(n=0;n")}if(a){var x=l.castOption(i,e.i,"texttemplate");if(x){var b=function(t){return{label:t.label,value:t.v,valueLabel:g.formatPieValue(t.v,n.separators),percent:t.v/r.vTotal,percentLabel:g.formatPiePercent(t.v/r.vTotal,n.separators),color:t.color,text:t.text,customdata:l.castOption(i,t.i,"customdata")}}(e),_=g.getFirstFilled(i.text,e.pts);(m(_)||""===_)&&(b.text=_),e.text=l.texttemplateString(x,b,t._fullLayout._d3locale,b,i._meta||{})}else e.text=""}}function R(t,e){var r=t.rotate*Math.PI/180,n=Math.cos(r),i=Math.sin(r),a=(e.left+e.right)/2,o=(e.top+e.bottom)/2;t.textX=a*n-o*i,t.textY=a*i+o*n,t.noCenter=!0}t.exports={plot:function(t,e){var r=t._context.staticPlot,a=t._fullLayout,h=a._size;d("pie",a),_(e,t),I(e,h);var v=l.makeTraceGroups(a._pielayer,e,"trace").each((function(e){var d=n.select(this),v=e[0],y=v.trace;!function(t){var e,r,n,i=t[0],a=i.r,o=i.trace,s=g.getRotationAngle(o.rotation),l=2*Math.PI/i.vTotal,u="px0",c="px1";if("counterclockwise"===o.direction){for(e=0;ei.vTotal/2?1:0,r.halfangle=Math.PI*Math.min(r.v/i.vTotal,.5),r.ring=1-o.hole,r.rInscribed=E(r,i))}(e),d.attr("stroke-linejoin","round"),d.each((function(){var m=n.select(this).selectAll("g.slice").data(e);m.enter().append("g").classed("slice",!0),m.exit().remove();var _=[[[],[]],[[],[]]],T=!1;m.each((function(i,o){if(i.hidden)n.select(this).selectAll("path,g").remove();else{i.pointNumber=i.i,i.curveNumber=y.index,_[i.pxmid[1]<0?0:1][i.pxmid[0]<0?0:1].push(i);var u=v.cx,c=v.cy,h=n.select(this),d=h.selectAll("path.surface").data([i]);if(d.enter().append("path").classed("surface",!0).style({"pointer-events":r?"none":"all"}),h.call(x,t,e),y.pull){var m=+g.castOption(y.pull,i.pts)||0;m>0&&(u+=m*i.pxmid[0],c+=m*i.pxmid[1])}i.cxFinal=u,i.cyFinal=c;var k=y.hole;if(i.v===v.vTotal){var A="M"+(u+i.px0[0])+","+(c+i.px0[1])+P(i.px0,i.pxmid,!0,1)+P(i.pxmid,i.px0,!0,1)+"Z";k?d.attr("d","M"+(u+k*i.px0[0])+","+(c+k*i.px0[1])+P(i.px0,i.pxmid,!1,k)+P(i.pxmid,i.px0,!1,k)+"Z"+A):d.attr("d",A)}else{var M=P(i.px0,i.px1,!0,1);if(k){var S=1-k;d.attr("d","M"+(u+k*i.px1[0])+","+(c+k*i.px1[1])+P(i.px1,i.px0,!1,k)+"l"+S*i.px0[0]+","+S*i.px0[1]+M+"Z")}else d.attr("d","M"+u+","+c+"l"+i.px0[0]+","+i.px0[1]+M+"Z")}z(t,i,v);var E=g.castOption(y.textposition,i.pts),C=h.selectAll("g.slicetext").data(i.text&&"none"!==E?[0]:[]);C.enter().append("g").classed("slicetext",!0),C.exit().remove(),C.each((function(){var r=l.ensureSingle(n.select(this),"text","",(function(t){t.attr("data-notex",1)})),h=l.ensureUniformFontSize(t,"outside"===E?function(t,e,r){return{color:g.castOption(t.outsidetextfont.color,e.pts)||g.castOption(t.textfont.color,e.pts)||r.color,family:g.castOption(t.outsidetextfont.family,e.pts)||g.castOption(t.textfont.family,e.pts)||r.family,size:g.castOption(t.outsidetextfont.size,e.pts)||g.castOption(t.textfont.size,e.pts)||r.size}}(y,i,a.font):b(y,i,a.font));r.text(i.text).attr({class:"slicetext",transform:"","text-anchor":"middle"}).call(s.font,h).call(f.convertToTspans,t);var d,m=s.bBox(r.node());if("outside"===E)d=L(m,i);else if(d=w(m,i,v),"auto"===E&&d.scale<1){var x=l.ensureUniformFontSize(t,y.outsidetextfont);r.call(s.font,x),d=L(m=s.bBox(r.node()),i)}var _=d.textPosAngle,k=void 0===_?i.pxmid:D(v.r,_);if(d.targetX=u+k[0]*d.rCenter+(d.x||0),d.targetY=c+k[1]*d.rCenter+(d.y||0),R(d,m),d.outside){var A=d.targetY;i.yLabelMin=A-m.height/2,i.yLabelMid=A,i.yLabelMax=A+m.height/2,i.labelExtraX=0,i.labelExtraY=0,T=!0}d.fontSize=h.size,p(y.type,d,a),e[o].transform=d,l.setTransormAndDisplay(r,d)}))}function P(t,e,r,n){var a=n*(e[0]-t[0]),o=n*(e[1]-t[1]);return"a"+n*v.r+","+n*v.r+" 0 "+i.largeArc+(r?" 1 ":" 0 ")+a+","+o}}));var k=n.select(this).selectAll("g.titletext").data(y.title.text?[0]:[]);if(k.enter().append("g").classed("titletext",!0),k.exit().remove(),k.each((function(){var e,r=l.ensureSingle(n.select(this),"text","",(function(t){t.attr("data-notex",1)})),i=y.title.text;y._meta&&(i=l.templateString(i,y._meta)),r.text(i).attr({class:"titletext",transform:"","text-anchor":"middle"}).call(s.font,y.title.font).call(f.convertToTspans,t),e="middle center"===y.title.position?function(t){var e=Math.sqrt(t.titleBox.width*t.titleBox.width+t.titleBox.height*t.titleBox.height);return{x:t.cx,y:t.cy,scale:t.trace.hole*t.r*2/e,tx:0,ty:-t.titleBox.height/2+t.trace.title.font.size}}(v):C(v,h),r.attr("transform",c(e.x,e.y)+u(Math.min(1,e.scale))+c(e.tx,e.ty))})),T&&function(t,e){var r,n,i,a,o,s,u,c,f,h,p,d,v;function y(t,e){return t.pxmid[1]-e.pxmid[1]}function m(t,e){return e.pxmid[1]-t.pxmid[1]}function x(t,r){r||(r={});var i,c,f,p,d=r.labelExtraY+(n?r.yLabelMax:r.yLabelMin),v=n?t.yLabelMin:t.yLabelMax,y=n?t.yLabelMax:t.yLabelMin,m=t.cyFinal+o(t.px0[1],t.px1[1]),x=d-v;if(x*u>0&&(t.labelExtraY=x),l.isArrayOrTypedArray(e.pull))for(c=0;c=(g.castOption(e.pull,f.pts)||0)||((t.pxmid[1]-f.pxmid[1])*u>0?(x=f.cyFinal+o(f.px0[1],f.px1[1])-v-t.labelExtraY)*u>0&&(t.labelExtraY+=x):(y+t.labelExtraY-m)*u>0&&(i=3*s*Math.abs(c-h.indexOf(t)),(p=f.cxFinal+a(f.px0[0],f.px1[0])+i-(t.cxFinal+t.pxmid[0])-t.labelExtraX)*s>0&&(t.labelExtraX+=p)))}for(n=0;n<2;n++)for(i=n?y:m,o=n?Math.max:Math.min,u=n?1:-1,r=0;r<2;r++){for(a=r?Math.max:Math.min,s=r?1:-1,(c=t[n][r]).sort(i),f=t[1-n][r],h=f.concat(c),d=[],p=0;pMath.abs(f)?s+="l"+f*t.pxmid[0]/t.pxmid[1]+","+f+"H"+(a+t.labelExtraX+u):s+="l"+t.labelExtraX+","+c+"v"+(f-c)+"h"+u}else s+="V"+(t.yLabelMid+t.labelExtraY)+"h"+u;l.ensureSingle(r,"path","textline").call(o.stroke,e.outsidetextfont.color).attr({"stroke-width":Math.min(2,e.outsidetextfont.size/8),d:s,fill:"none"})}else r.select("path.textline").remove()}))}(m,y),T&&y.automargin){var A=s.bBox(d.node()),M=y.domain,S=h.w*(M.x[1]-M.x[0]),E=h.h*(M.y[1]-M.y[0]),P=(.5*S-v.r)/h.w,O=(.5*E-v.r)/h.h;i.autoMargin(t,"pie."+y.uid+".automargin",{xl:M.x[0]-P,xr:M.x[1]+P,yb:M.y[0]-O,yt:M.y[1]+O,l:Math.max(v.cx-v.r-A.left,0),r:Math.max(A.right-(v.cx+v.r),0),b:Math.max(A.bottom-(v.cy+v.r),0),t:Math.max(v.cy-v.r-A.top,0),pad:5})}}))}));setTimeout((function(){v.selectAll("tspan").each((function(){var t=n.select(this);t.attr("dy")&&t.attr("dy",t.attr("dy"))}))}),0)},formatSliceLabel:z,transformInsideText:w,determineInsideTextFont:b,positionTitleOutside:C,prerenderTitles:_,layoutAreas:I,attachFxHandlers:x,computeTransform:R}},22152:function(t,e,r){"use strict";var n=r(33428),i=r(10528),a=r(82744).resizeText;t.exports=function(t){var e=t._fullLayout._pielayer.selectAll(".trace");a(t,e,"pie"),e.each((function(e){var r=e[0].trace,a=n.select(this);a.style({opacity:r.opacity}),a.selectAll("path.surface").each((function(e){n.select(this).call(i,e,r,t)}))}))}},10528:function(t,e,r){"use strict";var n=r(76308),i=r(69656).castOption,a=r(21552);t.exports=function(t,e,r,o){var s=r.marker.line,l=i(s.color,e.pts)||n.defaultLine,u=i(s.width,e.pts)||0;t.call(a,e,r,o).style("stroke-width",u).call(n.stroke,l)}},35484:function(t,e,r){"use strict";var n=r(52904);t.exports={x:n.x,y:n.y,xy:{valType:"data_array",editType:"calc"},indices:{valType:"data_array",editType:"calc"},xbounds:{valType:"data_array",editType:"calc"},ybounds:{valType:"data_array",editType:"calc"},text:n.text,marker:{color:{valType:"color",arrayOk:!1,editType:"calc"},opacity:{valType:"number",min:0,max:1,dflt:1,arrayOk:!1,editType:"calc"},blend:{valType:"boolean",dflt:null,editType:"calc"},sizemin:{valType:"number",min:.1,max:2,dflt:.5,editType:"calc"},sizemax:{valType:"number",min:.1,dflt:20,editType:"calc"},border:{color:{valType:"color",arrayOk:!1,editType:"calc"},arearatio:{valType:"number",min:0,max:1,dflt:0,editType:"calc"},editType:"calc"},editType:"calc"},transforms:void 0}},11072:function(t,e,r){"use strict";var n=r(67792).gl_pointcloud2d,i=r(3400).isArrayOrTypedArray,a=r(43080),o=r(19280).findExtremes,s=r(44928);function l(t,e){this.scene=t,this.uid=e,this.type="pointcloud",this.pickXData=[],this.pickYData=[],this.xData=[],this.yData=[],this.textLabels=[],this.color="rgb(0, 0, 0)",this.name="",this.hoverinfo="all",this.idToIndex=new Int32Array(0),this.bounds=[0,0,0,0],this.pointcloudOptions={positions:new Float32Array(0),idToIndex:this.idToIndex,sizemin:.5,sizemax:12,color:[0,0,0,1],areaRatio:1,borderColor:[0,0,0,1]},this.pointcloud=n(t.glplot,this.pointcloudOptions),this.pointcloud._trace=this}var u=l.prototype;u.handlePick=function(t){var e=this.idToIndex[t.pointId];return{trace:this,dataCoord:t.dataCoord,traceCoord:this.pickXYData?[this.pickXYData[2*e],this.pickXYData[2*e+1]]:[this.pickXData[e],this.pickYData[e]],textLabel:i(this.textLabels)?this.textLabels[e]:this.textLabels,color:this.color,name:this.name,pointIndex:e,hoverinfo:this.hoverinfo}},u.update=function(t){this.index=t.index,this.textLabels=t.text,this.name=t.name,this.hoverinfo=t.hoverinfo,this.bounds=[1/0,1/0,-1/0,-1/0],this.updateFast(t),this.color=s(t,{})},u.updateFast=function(t){var e,r,n,i,s,l,u=this.xData=this.pickXData=t.x,c=this.yData=this.pickYData=t.y,f=this.pickXYData=t.xy,h=t.xbounds&&t.ybounds,p=t.indices,d=this.bounds;if(f){if(n=f,e=f.length>>>1,h)d[0]=t.xbounds[0],d[2]=t.xbounds[1],d[1]=t.ybounds[0],d[3]=t.ybounds[1];else for(l=0;ld[2]&&(d[2]=i),sd[3]&&(d[3]=s);if(p)r=p;else for(r=new Int32Array(e),l=0;ld[2]&&(d[2]=i),sd[3]&&(d[3]=s);this.idToIndex=r,this.pointcloudOptions.idToIndex=r,this.pointcloudOptions.positions=n;var 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s(t,e,r,n){this.type="scattermapbox",this.subplot=t,this.uid=e,this.clusterEnabled=r,this.isHidden=n,this.sourceIds={fill:"source-"+e+"-fill",line:"source-"+e+"-line",circle:"source-"+e+"-circle",symbol:"source-"+e+"-symbol",cluster:"source-"+e+"-circle",clusterCount:"source-"+e+"-circle"},this.layerIds={fill:a+e+"-fill",line:a+e+"-line",circle:a+e+"-circle",symbol:a+e+"-symbol",cluster:a+e+"-cluster",clusterCount:a+e+"-cluster-count"},this.below=null}var l=s.prototype;l.addSource=function(t,e,r){var i={type:"geojson",data:e.geojson};r&&r.enabled&&n.extendFlat(i,{cluster:!0,clusterMaxZoom:r.maxzoom});var a=this.subplot.map.getSource(this.sourceIds[t]);a?a.setData(e.geojson):this.subplot.map.addSource(this.sourceIds[t],i)},l.setSourceData=function(t,e){this.subplot.map.getSource(this.sourceIds[t]).setData(e.geojson)},l.addLayer=function(t,e,r){var n={type:e.type,id:this.layerIds[t],source:this.sourceIds[t],layout:e.layout,paint:e.paint};e.filter&&(n.filter=e.filter);for(var i,a=this.layerIds[t],o=this.subplot.getMapLayers(),s=0;s=0;r--){var i=e[r];n.removeLayer(c.layerIds[i])}t||n.removeSource(c.sourceIds.circle)}(t):function(t){for(var e=o.nonCluster,r=e.length-1;r>=0;r--){var i=e[r];n.removeLayer(c.layerIds[i]),t||n.removeSource(c.sourceIds[i])}}(t)}function h(t){l?function(t){t||c.addSource("circle",a.circle,e.cluster);for(var r=o.cluster,n=0;n=0;r--){var n=e[r];t.removeLayer(this.layerIds[n]),t.removeSource(this.sourceIds[n])}},t.exports=function(t,e){var r,n,a,l=e[0].trace,u=l.cluster&&l.cluster.enabled,c=!0!==l.visible,f=new s(t,l.uid,u,c),h=i(t.gd,e),p=f.below=t.belowLookup["trace-"+l.uid];if(u)for(f.addSource("circle",h.circle,l.cluster),r=0;r")}}t.exports={hoverPoints:function(t,e,r,a){var o=n(t,e,r,a);if(o&&!1!==o[0].index){var s=o[0];if(void 0===s.index)return o;var l=t.subplot,u=s.cd[s.index],c=s.trace;if(l.isPtInside(u))return s.xLabelVal=void 0,s.yLabelVal=void 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n=r(47128);t.exports=function(t,e){e.surfacecolor?n(t,e,{vals:e.surfacecolor,containerStr:"",cLetter:"c"}):n(t,e,{vals:e.z,containerStr:"",cLetter:"c"})}},79164:function(t,e,r){"use strict";var n=r(67792).gl_surface3d,i=r(67792).ndarray,a=r(67792).ndarray_linear_interpolate.d2,o=r(70448),s=r(11240),l=r(3400).isArrayOrTypedArray,u=r(33040).parseColorScale,c=r(43080),f=r(8932).extractOpts;function h(t,e,r){this.scene=t,this.uid=r,this.surface=e,this.data=null,this.showContour=[!1,!1,!1],this.contourStart=[null,null,null],this.contourEnd=[null,null,null],this.contourSize=[0,0,0],this.minValues=[1/0,1/0,1/0],this.maxValues=[-1/0,-1/0,-1/0],this.dataScaleX=1,this.dataScaleY=1,this.refineData=!0,this.objectOffset=[0,0,0]}var p=h.prototype;p.getXat=function(t,e,r,n){var i=l(this.data.x)?l(this.data.x[0])?this.data.x[e][t]:this.data.x[t]:t;return void 0===r?i:n.d2l(i,0,r)},p.getYat=function(t,e,r,n){var i=l(this.data.y)?l(this.data.y[0])?this.data.y[e][t]:this.data.y[e]:e;return void 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r=c(e.cells.values),o=function(t){return t.slice(e.header.values.length,t.length)},v=c(e.header.values);v.length&&!v[0].length&&(v[0]=[""],v=c(v));var g=v.concat(o(r).map((function(){return f((v[0]||[""]).length)}))),y=e.domain,m=Math.floor(t._fullLayout._size.w*(y.x[1]-y.x[0])),x=Math.floor(t._fullLayout._size.h*(y.y[1]-y.y[0])),b=e.header.values.length?g[0].map((function(){return e.header.height})):[n.emptyHeaderHeight],_=r.length?r[0].map((function(){return e.cells.height})):[],w=b.reduce(u,0),T=d(_,x-w+n.uplift),k=p(d(b,w),[]),A=p(T,k),M={},S=e._fullInput.columnorder;s(S)&&(S=Array.from(S)),S=S.concat(o(r.map((function(t,e){return e}))));var E=g.map((function(t,r){var n=s(e.columnwidth)?e.columnwidth[Math.min(r,e.columnwidth.length-1)]:e.columnwidth;return a(n)?Number(n):1})),L=E.reduce(u,0);E=E.map((function(t){return t/L*m}));var C=Math.max(l(e.header.line.width),l(e.cells.line.width)),P={key:e.uid+t._context.staticPlot,translateX:y.x[0]*t._fullLayout._size.w,translateY:t._fullLayout._size.h*(1-y.y[1]),size:t._fullLayout._size,width:m,maxLineWidth:C,height:x,columnOrder:S,groupHeight:x,rowBlocks:A,headerRowBlocks:k,scrollY:0,cells:i({},e.cells,{values:r}),headerCells:i({},e.header,{values:g}),gdColumns:g.map((function(t){return t[0]})),gdColumnsOriginalOrder:g.map((function(t){return t[0]})),prevPages:[0,0],scrollbarState:{scrollbarScrollInProgress:!1},columns:g.map((function(t,e){var r=M[t];return M[t]=(r||0)+1,{key:t+"__"+M[t],label:t,specIndex:e,xIndex:S[e],xScale:h,x:void 0,calcdata:void 0,columnWidth:E[e]}}))};return P.columns.forEach((function(t){t.calcdata=P,t.x=h(t)})),P}},53056:function(t,e,r){"use strict";var n=r(92880).extendFlat;e.splitToPanels=function(t){var e=[0,0],r=n({},t,{key:"header",type:"header",page:0,prevPages:e,currentRepaint:[null,null],dragHandle:!0,values:t.calcdata.headerCells.values[t.specIndex],rowBlocks:t.calcdata.headerRowBlocks,calcdata:n({},t.calcdata,{cells:t.calcdata.headerCells})});return[n({},t,{key:"cells1",type:"cells",page:0,prevPages:e,currentRepaint:[null,null],dragHandle:!1,values:t.calcdata.cells.values[t.specIndex],rowBlocks:t.calcdata.rowBlocks}),n({},t,{key:"cells2",type:"cells",page:1,prevPages:e,currentRepaint:[null,null],dragHandle:!1,values:t.calcdata.cells.values[t.specIndex],rowBlocks:t.calcdata.rowBlocks}),r]},e.splitToCells=function(t){var e=function(t){var e=t.rowBlocks[t.page],r=e?e.rows[0].rowIndex:0;return[r,e?r+e.rows.length:0]}(t);return(t.values||[]).slice(e[0],e[1]).map((function(r,n){return{keyWithinBlock:n+("string"==typeof r&&r.match(/[<$&> 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f,h,p=c?"":k(t.calcdata.cells.prefix,e,r)||"",d=c?"":k(t.calcdata.cells.suffix,e,r)||"",v=c?null:k(t.calcdata.cells.format,e,r)||null,g=p+(v?o(v)(t.value):t.value)+d;if(t.wrappingNeeded=!t.wrapped&&!l&&!c&&(f=T(g)),t.cellHeightMayIncrease=s||c||t.mayHaveMarkup||(void 0===f?T(g):f),t.needsConvertToTspans=t.mayHaveMarkup||t.wrappingNeeded||t.latex,t.wrappingNeeded){var y=(" "===n.wrapSplitCharacter?g.replace(/i&&n.push(a),i+=l}return n}(i,l,s);1===u.length&&(u[0]===i.length-1?u.unshift(u[0]-1):u.push(u[0]+1)),u[0]%2&&u.reverse(),e.each((function(t,e){t.page=u[e],t.scrollY=l})),e.attr("transform",(function(t){var e=R(t.rowBlocks,t.page)-t.scrollY;return f(0,e)})),t&&(P(t,r,e,u,n.prevPages,n,0),P(t,r,e,u,n.prevPages,n,1),b(r,t))}}function C(t,e,r,a){return function(o){var s=o.calcdata?o.calcdata:o,l=e.filter((function(t){return s.key===t.key})),u=r||s.scrollbarState.dragMultiplier,c=s.scrollY;s.scrollY=void 0===a?s.scrollY+u*i.event.dy:a;var 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t&&t>=0);var e=0|Math.ceil(t/26),r=t%26;this._expand(e),r>0&&e--;for(var i=0;i0&&(this.words[i]=~this.words[i]&67108863>>26-r),this.strip()},a.prototype.notn=function(t){return this.clone().inotn(t)},a.prototype.setn=function(t,e){n("number"==typeof t&&t>=0);var r=t/26|0,i=t%26;return this._expand(r+1),this.words[r]=e?this.words[r]|1<t.length?(r=this,n=t):(r=t,n=this);for(var i=0,a=0;a>>26;for(;0!==i&&a>>26;if(this.length=r.length,0!==i)this.words[this.length]=i,this.length++;else if(r!==this)for(;at.length?this.clone().iadd(t):t.clone().iadd(this)},a.prototype.isub=function(t){if(0!==t.negative){t.negative=0;var e=this.iadd(t);return t.negative=1,e._normSign()}if(0!==this.negative)return this.negative=0,this.iadd(t),this.negative=1,this._normSign();var r,n,i=this.cmp(t);if(0===i)return this.negative=0,this.length=1,this.words[0]=0,this;i>0?(r=this,n=t):(r=t,n=this);for(var 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yt=(u+(n=n+Math.imul(f,H)|0)|0)+((8191&(i=(i=i+Math.imul(f,G)|0)+Math.imul(h,H)|0))<<13)|0;u=((a=a+Math.imul(h,G)|0)+(i>>>13)|0)+(yt>>>26)|0,yt&=67108863,n=Math.imul(y,U),i=(i=Math.imul(y,V))+Math.imul(m,U)|0,a=Math.imul(m,V),n=n+Math.imul(d,H)|0,i=(i=i+Math.imul(d,G)|0)+Math.imul(v,H)|0,a=a+Math.imul(v,G)|0;var mt=(u+(n=n+Math.imul(f,Y)|0)|0)+((8191&(i=(i=i+Math.imul(f,X)|0)+Math.imul(h,Y)|0))<<13)|0;u=((a=a+Math.imul(h,X)|0)+(i>>>13)|0)+(mt>>>26)|0,mt&=67108863,n=Math.imul(b,U),i=(i=Math.imul(b,V))+Math.imul(_,U)|0,a=Math.imul(_,V),n=n+Math.imul(y,H)|0,i=(i=i+Math.imul(y,G)|0)+Math.imul(m,H)|0,a=a+Math.imul(m,G)|0,n=n+Math.imul(d,Y)|0,i=(i=i+Math.imul(d,X)|0)+Math.imul(v,Y)|0,a=a+Math.imul(v,X)|0;var xt=(u+(n=n+Math.imul(f,K)|0)|0)+((8191&(i=(i=i+Math.imul(f,J)|0)+Math.imul(h,K)|0))<<13)|0;u=((a=a+Math.imul(h,J)|0)+(i>>>13)|0)+(xt>>>26)|0,xt&=67108863,n=Math.imul(T,U),i=(i=Math.imul(T,V))+Math.imul(k,U)|0,a=Math.imul(k,V),n=n+Math.imul(b,H)|0,i=(i=i+Math.imul(b,G)|0)+Math.imul(_,H)|0,a=a+Math.imul(_,G)|0,n=n+Math.imul(y,Y)|0,i=(i=i+Math.imul(y,X)|0)+Math.imul(m,Y)|0,a=a+Math.imul(m,X)|0,n=n+Math.imul(d,K)|0,i=(i=i+Math.imul(d,J)|0)+Math.imul(v,K)|0,a=a+Math.imul(v,J)|0;var bt=(u+(n=n+Math.imul(f,Q)|0)|0)+((8191&(i=(i=i+Math.imul(f,tt)|0)+Math.imul(h,Q)|0))<<13)|0;u=((a=a+Math.imul(h,tt)|0)+(i>>>13)|0)+(bt>>>26)|0,bt&=67108863,n=Math.imul(M,U),i=(i=Math.imul(M,V))+Math.imul(S,U)|0,a=Math.imul(S,V),n=n+Math.imul(T,H)|0,i=(i=i+Math.imul(T,G)|0)+Math.imul(k,H)|0,a=a+Math.imul(k,G)|0,n=n+Math.imul(b,Y)|0,i=(i=i+Math.imul(b,X)|0)+Math.imul(_,Y)|0,a=a+Math.imul(_,X)|0,n=n+Math.imul(y,K)|0,i=(i=i+Math.imul(y,J)|0)+Math.imul(m,K)|0,a=a+Math.imul(m,J)|0,n=n+Math.imul(d,Q)|0,i=(i=i+Math.imul(d,tt)|0)+Math.imul(v,Q)|0,a=a+Math.imul(v,tt)|0;var _t=(u+(n=n+Math.imul(f,rt)|0)|0)+((8191&(i=(i=i+Math.imul(f,nt)|0)+Math.imul(h,rt)|0))<<13)|0;u=((a=a+Math.imul(h,nt)|0)+(i>>>13)|0)+(_t>>>26)|0,_t&=67108863,n=Math.imul(L,U),i=(i=Math.imul(L,V))+Math.imul(C,U)|0,a=Math.imul(C,V),n=n+Math.imul(M,H)|0,i=(i=i+Math.imul(M,G)|0)+Math.imul(S,H)|0,a=a+Math.imul(S,G)|0,n=n+Math.imul(T,Y)|0,i=(i=i+Math.imul(T,X)|0)+Math.imul(k,Y)|0,a=a+Math.imul(k,X)|0,n=n+Math.imul(b,K)|0,i=(i=i+Math.imul(b,J)|0)+Math.imul(_,K)|0,a=a+Math.imul(_,J)|0,n=n+Math.imul(y,Q)|0,i=(i=i+Math.imul(y,tt)|0)+Math.imul(m,Q)|0,a=a+Math.imul(m,tt)|0,n=n+Math.imul(d,rt)|0,i=(i=i+Math.imul(d,nt)|0)+Math.imul(v,rt)|0,a=a+Math.imul(v,nt)|0;var wt=(u+(n=n+Math.imul(f,at)|0)|0)+((8191&(i=(i=i+Math.imul(f,ot)|0)+Math.imul(h,at)|0))<<13)|0;u=((a=a+Math.imul(h,ot)|0)+(i>>>13)|0)+(wt>>>26)|0,wt&=67108863,n=Math.imul(O,U),i=(i=Math.imul(O,V))+Math.imul(I,U)|0,a=Math.imul(I,V),n=n+Math.imul(L,H)|0,i=(i=i+Math.imul(L,G)|0)+Math.imul(C,H)|0,a=a+Math.imul(C,G)|0,n=n+Math.imul(M,Y)|0,i=(i=i+Math.imul(M,X)|0)+Math.imul(S,Y)|0,a=a+Math.imul(S,X)|0,n=n+Math.imul(T,K)|0,i=(i=i+Math.imul(T,J)|0)+Math.imul(k,K)|0,a=a+Math.imul(k,J)|0,n=n+Math.imul(b,Q)|0,i=(i=i+Math.imul(b,tt)|0)+Math.imul(_,Q)|0,a=a+Math.imul(_,tt)|0,n=n+Math.imul(y,rt)|0,i=(i=i+Math.imul(y,nt)|0)+Math.imul(m,rt)|0,a=a+Math.imul(m,nt)|0,n=n+Math.imul(d,at)|0,i=(i=i+Math.imul(d,ot)|0)+Math.imul(v,at)|0,a=a+Math.imul(v,ot)|0;var Tt=(u+(n=n+Math.imul(f,lt)|0)|0)+((8191&(i=(i=i+Math.imul(f,ut)|0)+Math.imul(h,lt)|0))<<13)|0;u=((a=a+Math.imul(h,ut)|0)+(i>>>13)|0)+(Tt>>>26)|0,Tt&=67108863,n=Math.imul(z,U),i=(i=Math.imul(z,V))+Math.imul(R,U)|0,a=Math.imul(R,V),n=n+Math.imul(O,H)|0,i=(i=i+Math.imul(O,G)|0)+Math.imul(I,H)|0,a=a+Math.imul(I,G)|0,n=n+Math.imul(L,Y)|0,i=(i=i+Math.imul(L,X)|0)+Math.imul(C,Y)|0,a=a+Math.imul(C,X)|0,n=n+Math.imul(M,K)|0,i=(i=i+Math.imul(M,J)|0)+Math.imul(S,K)|0,a=a+Math.imul(S,J)|0,n=n+Math.imul(T,Q)|0,i=(i=i+Math.imul(T,tt)|0)+Math.imul(k,Q)|0,a=a+Math.imul(k,tt)|0,n=n+Math.imul(b,rt)|0,i=(i=i+Math.imul(b,nt)|0)+Math.imul(_,rt)|0,a=a+Math.imul(_,nt)|0,n=n+Math.imul(y,at)|0,i=(i=i+Math.imul(y,ot)|0)+Math.imul(m,at)|0,a=a+Math.imul(m,ot)|0,n=n+Math.imul(d,lt)|0,i=(i=i+Math.imul(d,ut)|0)+Math.imul(v,lt)|0,a=a+Math.imul(v,ut)|0;var kt=(u+(n=n+Math.imul(f,ft)|0)|0)+((8191&(i=(i=i+Math.imul(f,ht)|0)+Math.imul(h,ft)|0))<<13)|0;u=((a=a+Math.imul(h,ht)|0)+(i>>>13)|0)+(kt>>>26)|0,kt&=67108863,n=Math.imul(B,U),i=(i=Math.imul(B,V))+Math.imul(N,U)|0,a=Math.imul(N,V),n=n+Math.imul(z,H)|0,i=(i=i+Math.imul(z,G)|0)+Math.imul(R,H)|0,a=a+Math.imul(R,G)|0,n=n+Math.imul(O,Y)|0,i=(i=i+Math.imul(O,X)|0)+Math.imul(I,Y)|0,a=a+Math.imul(I,X)|0,n=n+Math.imul(L,K)|0,i=(i=i+Math.imul(L,J)|0)+Math.imul(C,K)|0,a=a+Math.imul(C,J)|0,n=n+Math.imul(M,Q)|0,i=(i=i+Math.imul(M,tt)|0)+Math.imul(S,Q)|0,a=a+Math.imul(S,tt)|0,n=n+Math.imul(T,rt)|0,i=(i=i+Math.imul(T,nt)|0)+Math.imul(k,rt)|0,a=a+Math.imul(k,nt)|0,n=n+Math.imul(b,at)|0,i=(i=i+Math.imul(b,ot)|0)+Math.imul(_,at)|0,a=a+Math.imul(_,ot)|0,n=n+Math.imul(y,lt)|0,i=(i=i+Math.imul(y,ut)|0)+Math.imul(m,lt)|0,a=a+Math.imul(m,ut)|0,n=n+Math.imul(d,ft)|0,i=(i=i+Math.imul(d,ht)|0)+Math.imul(v,ft)|0,a=a+Math.imul(v,ht)|0;var At=(u+(n=n+Math.imul(f,dt)|0)|0)+((8191&(i=(i=i+Math.imul(f,vt)|0)+Math.imul(h,dt)|0))<<13)|0;u=((a=a+Math.imul(h,vt)|0)+(i>>>13)|0)+(At>>>26)|0,At&=67108863,n=Math.imul(B,H),i=(i=Math.imul(B,G))+Math.imul(N,H)|0,a=Math.imul(N,G),n=n+Math.imul(z,Y)|0,i=(i=i+Math.imul(z,X)|0)+Math.imul(R,Y)|0,a=a+Math.imul(R,X)|0,n=n+Math.imul(O,K)|0,i=(i=i+Math.imul(O,J)|0)+Math.imul(I,K)|0,a=a+Math.imul(I,J)|0,n=n+Math.imul(L,Q)|0,i=(i=i+Math.imul(L,tt)|0)+Math.imul(C,Q)|0,a=a+Math.imul(C,tt)|0,n=n+Math.imul(M,rt)|0,i=(i=i+Math.imul(M,nt)|0)+Math.imul(S,rt)|0,a=a+Math.imul(S,nt)|0,n=n+Math.imul(T,at)|0,i=(i=i+Math.imul(T,ot)|0)+Math.imul(k,at)|0,a=a+Math.imul(k,ot)|0,n=n+Math.imul(b,lt)|0,i=(i=i+Math.imul(b,ut)|0)+Math.imul(_,lt)|0,a=a+Math.imul(_,ut)|0,n=n+Math.imul(y,ft)|0,i=(i=i+Math.imul(y,ht)|0)+Math.imul(m,ft)|0,a=a+Math.imul(m,ht)|0;var Mt=(u+(n=n+Math.imul(d,dt)|0)|0)+((8191&(i=(i=i+Math.imul(d,vt)|0)+Math.imul(v,dt)|0))<<13)|0;u=((a=a+Math.imul(v,vt)|0)+(i>>>13)|0)+(Mt>>>26)|0,Mt&=67108863,n=Math.imul(B,Y),i=(i=Math.imul(B,X))+Math.imul(N,Y)|0,a=Math.imul(N,X),n=n+Math.imul(z,K)|0,i=(i=i+Math.imul(z,J)|0)+Math.imul(R,K)|0,a=a+Math.imul(R,J)|0,n=n+Math.imul(O,Q)|0,i=(i=i+Math.imul(O,tt)|0)+Math.imul(I,Q)|0,a=a+Math.imul(I,tt)|0,n=n+Math.imul(L,rt)|0,i=(i=i+Math.imul(L,nt)|0)+Math.imul(C,rt)|0,a=a+Math.imul(C,nt)|0,n=n+Math.imul(M,at)|0,i=(i=i+Math.imul(M,ot)|0)+Math.imul(S,at)|0,a=a+Math.imul(S,ot)|0,n=n+Math.imul(T,lt)|0,i=(i=i+Math.imul(T,ut)|0)+Math.imul(k,lt)|0,a=a+Math.imul(k,ut)|0,n=n+Math.imul(b,ft)|0,i=(i=i+Math.imul(b,ht)|0)+Math.imul(_,ft)|0,a=a+Math.imul(_,ht)|0;var St=(u+(n=n+Math.imul(y,dt)|0)|0)+((8191&(i=(i=i+Math.imul(y,vt)|0)+Math.imul(m,dt)|0))<<13)|0;u=((a=a+Math.imul(m,vt)|0)+(i>>>13)|0)+(St>>>26)|0,St&=67108863,n=Math.imul(B,K),i=(i=Math.imul(B,J))+Math.imul(N,K)|0,a=Math.imul(N,J),n=n+Math.imul(z,Q)|0,i=(i=i+Math.imul(z,tt)|0)+Math.imul(R,Q)|0,a=a+Math.imul(R,tt)|0,n=n+Math.imul(O,rt)|0,i=(i=i+Math.imul(O,nt)|0)+Math.imul(I,rt)|0,a=a+Math.imul(I,nt)|0,n=n+Math.imul(L,at)|0,i=(i=i+Math.imul(L,ot)|0)+Math.imul(C,at)|0,a=a+Math.imul(C,ot)|0,n=n+Math.imul(M,lt)|0,i=(i=i+Math.imul(M,ut)|0)+Math.imul(S,lt)|0,a=a+Math.imul(S,ut)|0,n=n+Math.imul(T,ft)|0,i=(i=i+Math.imul(T,ht)|0)+Math.imul(k,ft)|0,a=a+Math.imul(k,ht)|0;var Et=(u+(n=n+Math.imul(b,dt)|0)|0)+((8191&(i=(i=i+Math.imul(b,vt)|0)+Math.imul(_,dt)|0))<<13)|0;u=((a=a+Math.imul(_,vt)|0)+(i>>>13)|0)+(Et>>>26)|0,Et&=67108863,n=Math.imul(B,Q),i=(i=Math.imul(B,tt))+Math.imul(N,Q)|0,a=Math.imul(N,tt),n=n+Math.imul(z,rt)|0,i=(i=i+Math.imul(z,nt)|0)+Math.imul(R,rt)|0,a=a+Math.imul(R,nt)|0,n=n+Math.imul(O,at)|0,i=(i=i+Math.imul(O,ot)|0)+Math.imul(I,at)|0,a=a+Math.imul(I,ot)|0,n=n+Math.imul(L,lt)|0,i=(i=i+Math.imul(L,ut)|0)+Math.imul(C,lt)|0,a=a+Math.imul(C,ut)|0,n=n+Math.imul(M,ft)|0,i=(i=i+Math.imul(M,ht)|0)+Math.imul(S,ft)|0,a=a+Math.imul(S,ht)|0;var Lt=(u+(n=n+Math.imul(T,dt)|0)|0)+((8191&(i=(i=i+Math.imul(T,vt)|0)+Math.imul(k,dt)|0))<<13)|0;u=((a=a+Math.imul(k,vt)|0)+(i>>>13)|0)+(Lt>>>26)|0,Lt&=67108863,n=Math.imul(B,rt),i=(i=Math.imul(B,nt))+Math.imul(N,rt)|0,a=Math.imul(N,nt),n=n+Math.imul(z,at)|0,i=(i=i+Math.imul(z,ot)|0)+Math.imul(R,at)|0,a=a+Math.imul(R,ot)|0,n=n+Math.imul(O,lt)|0,i=(i=i+Math.imul(O,ut)|0)+Math.imul(I,lt)|0,a=a+Math.imul(I,ut)|0,n=n+Math.imul(L,ft)|0,i=(i=i+Math.imul(L,ht)|0)+Math.imul(C,ft)|0,a=a+Math.imul(C,ht)|0;var Ct=(u+(n=n+Math.imul(M,dt)|0)|0)+((8191&(i=(i=i+Math.imul(M,vt)|0)+Math.imul(S,dt)|0))<<13)|0;u=((a=a+Math.imul(S,vt)|0)+(i>>>13)|0)+(Ct>>>26)|0,Ct&=67108863,n=Math.imul(B,at),i=(i=Math.imul(B,ot))+Math.imul(N,at)|0,a=Math.imul(N,ot),n=n+Math.imul(z,lt)|0,i=(i=i+Math.imul(z,ut)|0)+Math.imul(R,lt)|0,a=a+Math.imul(R,ut)|0,n=n+Math.imul(O,ft)|0,i=(i=i+Math.imul(O,ht)|0)+Math.imul(I,ft)|0,a=a+Math.imul(I,ht)|0;var Pt=(u+(n=n+Math.imul(L,dt)|0)|0)+((8191&(i=(i=i+Math.imul(L,vt)|0)+Math.imul(C,dt)|0))<<13)|0;u=((a=a+Math.imul(C,vt)|0)+(i>>>13)|0)+(Pt>>>26)|0,Pt&=67108863,n=Math.imul(B,lt),i=(i=Math.imul(B,ut))+Math.imul(N,lt)|0,a=Math.imul(N,ut),n=n+Math.imul(z,ft)|0,i=(i=i+Math.imul(z,ht)|0)+Math.imul(R,ft)|0,a=a+Math.imul(R,ht)|0;var Ot=(u+(n=n+Math.imul(O,dt)|0)|0)+((8191&(i=(i=i+Math.imul(O,vt)|0)+Math.imul(I,dt)|0))<<13)|0;u=((a=a+Math.imul(I,vt)|0)+(i>>>13)|0)+(Ot>>>26)|0,Ot&=67108863,n=Math.imul(B,ft),i=(i=Math.imul(B,ht))+Math.imul(N,ft)|0,a=Math.imul(N,ht);var It=(u+(n=n+Math.imul(z,dt)|0)|0)+((8191&(i=(i=i+Math.imul(z,vt)|0)+Math.imul(R,dt)|0))<<13)|0;u=((a=a+Math.imul(R,vt)|0)+(i>>>13)|0)+(It>>>26)|0,It&=67108863;var Dt=(u+(n=Math.imul(B,dt))|0)+((8191&(i=(i=Math.imul(B,vt))+Math.imul(N,dt)|0))<<13)|0;return u=((a=Math.imul(N,vt))+(i>>>13)|0)+(Dt>>>26)|0,Dt&=67108863,l[0]=gt,l[1]=yt,l[2]=mt,l[3]=xt,l[4]=bt,l[5]=_t,l[6]=wt,l[7]=Tt,l[8]=kt,l[9]=At,l[10]=Mt,l[11]=St,l[12]=Et,l[13]=Lt,l[14]=Ct,l[15]=Pt,l[16]=Ot,l[17]=It,l[18]=Dt,0!==u&&(l[19]=u,r.length++),r};function v(t,e,r){return(new g).mulp(t,e,r)}function g(t,e){this.x=t,this.y=e}Math.imul||(d=p),a.prototype.mulTo=function(t,e){var r,n=this.length+t.length;return r=10===this.length&&10===t.length?d(this,t,e):n<63?p(this,t,e):n<1024?function(t,e,r){r.negative=e.negative^t.negative,r.length=t.length+e.length;for(var n=0,i=0,a=0;a>>26)|0)>>>26,o&=67108863}r.words[a]=s,n=o,o=i}return 0!==n?r.words[a]=n:r.length--,r.strip()}(this,t,e):v(this,t,e),r},g.prototype.makeRBT=function(t){for(var e=new Array(t),r=a.prototype._countBits(t)-1,n=0;n>=1;return n},g.prototype.permute=function(t,e,r,n,i,a){for(var o=0;o>>=1)i++;return 1<>>=13,r[2*o+1]=8191&a,a>>>=13;for(o=2*e;o>=26,e+=i/67108864|0,e+=a>>>26,this.words[r]=67108863&a}return 0!==e&&(this.words[r]=e,this.length++),this},a.prototype.muln=function(t){return this.clone().imuln(t)},a.prototype.sqr=function(){return this.mul(this)},a.prototype.isqr=function(){return this.imul(this.clone())},a.prototype.pow=function(t){var e=function(t){for(var e=new Array(t.bitLength()),r=0;r>>i}return e}(t);if(0===e.length)return new a(1);for(var r=this,n=0;n=0);var e,r=t%26,i=(t-r)/26,a=67108863>>>26-r<<26-r;if(0!==r){var o=0;for(e=0;e>>26-r}o&&(this.words[e]=o,this.length++)}if(0!==i){for(e=this.length-1;e>=0;e--)this.words[e+i]=this.words[e];for(e=0;e=0),i=e?(e-e%26)/26:0;var a=t%26,o=Math.min((t-a)/26,this.length),s=67108863^67108863>>>a<o)for(this.length-=o,u=0;u=0&&(0!==c||u>=i);u--){var f=0|this.words[u];this.words[u]=c<<26-a|f>>>a,c=f&s}return l&&0!==c&&(l.words[l.length++]=c),0===this.length&&(this.words[0]=0,this.length=1),this.strip()},a.prototype.ishrn=function(t,e,r){return n(0===this.negative),this.iushrn(t,e,r)},a.prototype.shln=function(t){return this.clone().ishln(t)},a.prototype.ushln=function(t){return this.clone().iushln(t)},a.prototype.shrn=function(t){return this.clone().ishrn(t)},a.prototype.ushrn=function(t){return this.clone().iushrn(t)},a.prototype.testn=function(t){n("number"==typeof t&&t>=0);var e=t%26,r=(t-e)/26,i=1<=0);var e=t%26,r=(t-e)/26;if(n(0===this.negative,"imaskn works only with positive numbers"),this.length<=r)return this;if(0!==e&&r++,this.length=Math.min(r,this.length),0!==e){var i=67108863^67108863>>>e<=67108864;e++)this.words[e]-=67108864,e===this.length-1?this.words[e+1]=1:this.words[e+1]++;return this.length=Math.max(this.length,e+1),this},a.prototype.isubn=function(t){if(n("number"==typeof t),n(t<67108864),t<0)return this.iaddn(-t);if(0!==this.negative)return this.negative=0,this.iaddn(t),this.negative=1,this;if(this.words[0]-=t,1===this.length&&this.words[0]<0)this.words[0]=-this.words[0],this.negative=1;else for(var e=0;e>26)-(l/67108864|0),this.words[i+r]=67108863&a}for(;i>26,this.words[i+r]=67108863&a;if(0===s)return this.strip();for(n(-1===s),s=0,i=0;i>26,this.words[i]=67108863&a;return this.negative=1,this.strip()},a.prototype._wordDiv=function(t,e){var r=(this.length,t.length),n=this.clone(),i=t,o=0|i.words[i.length-1];0!=(r=26-this._countBits(o))&&(i=i.ushln(r),n.iushln(r),o=0|i.words[i.length-1]);var s,l=n.length-i.length;if("mod"!==e){(s=new a(null)).length=l+1,s.words=new Array(s.length);for(var u=0;u=0;f--){var h=67108864*(0|n.words[i.length+f])+(0|n.words[i.length+f-1]);for(h=Math.min(h/o|0,67108863),n._ishlnsubmul(i,h,f);0!==n.negative;)h--,n.negative=0,n._ishlnsubmul(i,1,f),n.isZero()||(n.negative^=1);s&&(s.words[f]=h)}return s&&s.strip(),n.strip(),"div"!==e&&0!==r&&n.iushrn(r),{div:s||null,mod:n}},a.prototype.divmod=function(t,e,r){return n(!t.isZero()),this.isZero()?{div:new a(0),mod:new a(0)}:0!==this.negative&&0===t.negative?(s=this.neg().divmod(t,e),"mod"!==e&&(i=s.div.neg()),"div"!==e&&(o=s.mod.neg(),r&&0!==o.negative&&o.iadd(t)),{div:i,mod:o}):0===this.negative&&0!==t.negative?(s=this.divmod(t.neg(),e),"mod"!==e&&(i=s.div.neg()),{div:i,mod:s.mod}):0!=(this.negative&t.negative)?(s=this.neg().divmod(t.neg(),e),"div"!==e&&(o=s.mod.neg(),r&&0!==o.negative&&o.isub(t)),{div:s.div,mod:o}):t.length>this.length||this.cmp(t)<0?{div:new a(0),mod:this}:1===t.length?"div"===e?{div:this.divn(t.words[0]),mod:null}:"mod"===e?{div:null,mod:new a(this.modn(t.words[0]))}:{div:this.divn(t.words[0]),mod:new a(this.modn(t.words[0]))}:this._wordDiv(t,e);var i,o,s},a.prototype.div=function(t){return this.divmod(t,"div",!1).div},a.prototype.mod=function(t){return this.divmod(t,"mod",!1).mod},a.prototype.umod=function(t){return this.divmod(t,"mod",!0).mod},a.prototype.divRound=function(t){var e=this.divmod(t);if(e.mod.isZero())return e.div;var r=0!==e.div.negative?e.mod.isub(t):e.mod,n=t.ushrn(1),i=t.andln(1),a=r.cmp(n);return a<0||1===i&&0===a?e.div:0!==e.div.negative?e.div.isubn(1):e.div.iaddn(1)},a.prototype.modn=function(t){n(t<=67108863);for(var e=(1<<26)%t,r=0,i=this.length-1;i>=0;i--)r=(e*r+(0|this.words[i]))%t;return r},a.prototype.idivn=function(t){n(t<=67108863);for(var e=0,r=this.length-1;r>=0;r--){var i=(0|this.words[r])+67108864*e;this.words[r]=i/t|0,e=i%t}return this.strip()},a.prototype.divn=function(t){return this.clone().idivn(t)},a.prototype.egcd=function(t){n(0===t.negative),n(!t.isZero());var e=this,r=t.clone();e=0!==e.negative?e.umod(t):e.clone();for(var i=new a(1),o=new a(0),s=new a(0),l=new a(1),u=0;e.isEven()&&r.isEven();)e.iushrn(1),r.iushrn(1),++u;for(var c=r.clone(),f=e.clone();!e.isZero();){for(var h=0,p=1;0==(e.words[0]&p)&&h<26;++h,p<<=1);if(h>0)for(e.iushrn(h);h-- >0;)(i.isOdd()||o.isOdd())&&(i.iadd(c),o.isub(f)),i.iushrn(1),o.iushrn(1);for(var d=0,v=1;0==(r.words[0]&v)&&d<26;++d,v<<=1);if(d>0)for(r.iushrn(d);d-- >0;)(s.isOdd()||l.isOdd())&&(s.iadd(c),l.isub(f)),s.iushrn(1),l.iushrn(1);e.cmp(r)>=0?(e.isub(r),i.isub(s),o.isub(l)):(r.isub(e),s.isub(i),l.isub(o))}return{a:s,b:l,gcd:r.iushln(u)}},a.prototype._invmp=function(t){n(0===t.negative),n(!t.isZero());var e=this,r=t.clone();e=0!==e.negative?e.umod(t):e.clone();for(var i,o=new a(1),s=new a(0),l=r.clone();e.cmpn(1)>0&&r.cmpn(1)>0;){for(var u=0,c=1;0==(e.words[0]&c)&&u<26;++u,c<<=1);if(u>0)for(e.iushrn(u);u-- >0;)o.isOdd()&&o.iadd(l),o.iushrn(1);for(var f=0,h=1;0==(r.words[0]&h)&&f<26;++f,h<<=1);if(f>0)for(r.iushrn(f);f-- >0;)s.isOdd()&&s.iadd(l),s.iushrn(1);e.cmp(r)>=0?(e.isub(r),o.isub(s)):(r.isub(e),s.isub(o))}return(i=0===e.cmpn(1)?o:s).cmpn(0)<0&&i.iadd(t),i},a.prototype.gcd=function(t){if(this.isZero())return t.abs();if(t.isZero())return this.abs();var e=this.clone(),r=t.clone();e.negative=0,r.negative=0;for(var n=0;e.isEven()&&r.isEven();n++)e.iushrn(1),r.iushrn(1);for(;;){for(;e.isEven();)e.iushrn(1);for(;r.isEven();)r.iushrn(1);var i=e.cmp(r);if(i<0){var a=e;e=r,r=a}else if(0===i||0===r.cmpn(1))break;e.isub(r)}return r.iushln(n)},a.prototype.invm=function(t){return this.egcd(t).a.umod(t)},a.prototype.isEven=function(){return 0==(1&this.words[0])},a.prototype.isOdd=function(){return 1==(1&this.words[0])},a.prototype.andln=function(t){return this.words[0]&t},a.prototype.bincn=function(t){n("number"==typeof t);var e=t%26,r=(t-e)/26,i=1<>>26,s&=67108863,this.words[o]=s}return 0!==a&&(this.words[o]=a,this.length++),this},a.prototype.isZero=function(){return 1===this.length&&0===this.words[0]},a.prototype.cmpn=function(t){var e,r=t<0;if(0!==this.negative&&!r)return-1;if(0===this.negative&&r)return 1;if(this.strip(),this.length>1)e=1;else{r&&(t=-t),n(t<=67108863,"Number is too big");var i=0|this.words[0];e=i===t?0:it.length)return 1;if(this.length=0;r--){var n=0|this.words[r],i=0|t.words[r];if(n!==i){ni&&(e=1);break}}return e},a.prototype.gtn=function(t){return 1===this.cmpn(t)},a.prototype.gt=function(t){return 1===this.cmp(t)},a.prototype.gten=function(t){return this.cmpn(t)>=0},a.prototype.gte=function(t){return this.cmp(t)>=0},a.prototype.ltn=function(t){return-1===this.cmpn(t)},a.prototype.lt=function(t){return-1===this.cmp(t)},a.prototype.lten=function(t){return this.cmpn(t)<=0},a.prototype.lte=function(t){return this.cmp(t)<=0},a.prototype.eqn=function(t){return 0===this.cmpn(t)},a.prototype.eq=function(t){return 0===this.cmp(t)},a.red=function(t){return new T(t)},a.prototype.toRed=function(t){return n(!this.red,"Already a number in reduction context"),n(0===this.negative,"red works only with positives"),t.convertTo(this)._forceRed(t)},a.prototype.fromRed=function(){return n(this.red,"fromRed works only with numbers in reduction context"),this.red.convertFrom(this)},a.prototype._forceRed=function(t){return this.red=t,this},a.prototype.forceRed=function(t){return n(!this.red,"Already a number in reduction context"),this._forceRed(t)},a.prototype.redAdd=function(t){return n(this.red,"redAdd works only with red numbers"),this.red.add(this,t)},a.prototype.redIAdd=function(t){return n(this.red,"redIAdd works only with red numbers"),this.red.iadd(this,t)},a.prototype.redSub=function(t){return n(this.red,"redSub works only with red numbers"),this.red.sub(this,t)},a.prototype.redISub=function(t){return n(this.red,"redISub works only with red numbers"),this.red.isub(this,t)},a.prototype.redShl=function(t){return n(this.red,"redShl works only with red numbers"),this.red.shl(this,t)},a.prototype.redMul=function(t){return n(this.red,"redMul works only with red numbers"),this.red._verify2(this,t),this.red.mul(this,t)},a.prototype.redIMul=function(t){return n(this.red,"redMul works only with red numbers"),this.red._verify2(this,t),this.red.imul(this,t)},a.prototype.redSqr=function(){return n(this.red,"redSqr works only with red numbers"),this.red._verify1(this),this.red.sqr(this)},a.prototype.redISqr=function(){return n(this.red,"redISqr works only with red numbers"),this.red._verify1(this),this.red.isqr(this)},a.prototype.redSqrt=function(){return n(this.red,"redSqrt works only with red numbers"),this.red._verify1(this),this.red.sqrt(this)},a.prototype.redInvm=function(){return n(this.red,"redInvm works only with red numbers"),this.red._verify1(this),this.red.invm(this)},a.prototype.redNeg=function(){return n(this.red,"redNeg works only with red numbers"),this.red._verify1(this),this.red.neg(this)},a.prototype.redPow=function(t){return n(this.red&&!t.red,"redPow(normalNum)"),this.red._verify1(this),this.red.pow(this,t)};var y={k256:null,p224:null,p192:null,p25519:null};function m(t,e){this.name=t,this.p=new a(e,16),this.n=this.p.bitLength(),this.k=new a(1).iushln(this.n).isub(this.p),this.tmp=this._tmp()}function x(){m.call(this,"k256","ffffffff ffffffff ffffffff ffffffff ffffffff ffffffff fffffffe fffffc2f")}function b(){m.call(this,"p224","ffffffff ffffffff ffffffff ffffffff 00000000 00000000 00000001")}function _(){m.call(this,"p192","ffffffff ffffffff ffffffff fffffffe ffffffff ffffffff")}function w(){m.call(this,"25519","7fffffffffffffff ffffffffffffffff ffffffffffffffff ffffffffffffffed")}function T(t){if("string"==typeof t){var e=a._prime(t);this.m=e.p,this.prime=e}else n(t.gtn(1),"modulus must be greater than 1"),this.m=t,this.prime=null}function k(t){T.call(this,t),this.shift=this.m.bitLength(),this.shift%26!=0&&(this.shift+=26-this.shift%26),this.r=new a(1).iushln(this.shift),this.r2=this.imod(this.r.sqr()),this.rinv=this.r._invmp(this.m),this.minv=this.rinv.mul(this.r).isubn(1).div(this.m),this.minv=this.minv.umod(this.r),this.minv=this.r.sub(this.minv)}m.prototype._tmp=function(){var t=new a(null);return t.words=new Array(Math.ceil(this.n/13)),t},m.prototype.ireduce=function(t){var 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v=l("labels");l("labelFont")&&(v=!0),o("labelEnable"),a("labelSize"),a("labelPad"),u("labelColor"),o("lineEnable"),o("lineMirror"),a("lineWidth"),u("lineColor"),o("lineTickEnable"),o("lineTickMirror"),a("lineTickLength"),a("lineTickWidth"),u("lineTickColor"),o("gridEnable"),a("gridWidth"),u("gridColor"),o("zeroEnable"),u("zeroLineColor"),a("zeroLineWidth"),o("backgroundEnable"),u("backgroundColor"),this._text?this._text&&(v||c)&&this._text.update(this.bounds,this.labels,this.labelFont,this.ticks,this.tickFont):this._text=n(this.gl,this.bounds,this.labels,this.labelFont,this.ticks,this.tickFont),this._lines&&c&&(this._lines.dispose(),this._lines=null),this._lines||(this._lines=i(this.gl,this.bounds,this.ticks))};var p=[new h,new h,new h];function d(t,e,r,n,i){for(var a=t.primalOffset,o=t.primalMinor,s=t.mirrorOffset,l=t.mirrorMinor,u=n[e],c=0;c<3;++c)if(e!==c){var f=a,h=s,p=o,d=l;u&1<0?(p[c]=-1,d[c]=0):(p[c]=0,d[c]=1)}}var v=[0,0,0],g={model:l,view:l,projection:l,_ortho:!1};f.isOpaque=function(){return!0},f.isTransparent=function(){return!1},f.drawTransparent=function(t){};var y=[0,0,0],m=[0,0,0],x=[0,0,0];f.draw=function(t){t=t||g;for(var e=this.gl,r=t.model||l,n=t.view||l,i=t.projection||l,a=this.bounds,s=t._ortho||!1,c=o(r,n,i,a,s),f=c.cubeEdges,h=c.axis,b=n[12],_=n[13],w=n[14],T=n[15],k=(s?2:1)*this.pixelRatio*(i[3]*b+i[7]*_+i[11]*w+i[15]*T)/e.drawingBufferHeight,A=0;A<3;++A)this.lastCubeProps.cubeEdges[A]=f[A],this.lastCubeProps.axis[A]=h[A];var M=p;for(A=0;A<3;++A)d(p[A],A,this.bounds,f,h);e=this.gl;var S,E,L,C=v;for(A=0;A<3;++A)this.backgroundEnable[A]?C[A]=h[A]:C[A]=0;for(this._background.draw(r,n,i,a,C,this.backgroundColor),this._lines.bind(r,n,i,this),A=0;A<3;++A){var P=[0,0,0];h[A]>0?P[A]=a[1][A]:P[A]=a[0][A];for(var O=0;O<2;++O){var I=(A+1+O)%3,D=(A+1+(1^O))%3;this.gridEnable[I]&&this._lines.drawGrid(I,D,this.bounds,P,this.gridColor[I],this.gridWidth[I]*this.pixelRatio)}for(O=0;O<2;++O)I=(A+1+O)%3,D=(A+1+(1^O))%3,this.zeroEnable[D]&&Math.min(a[0][D],a[1][D])<=0&&Math.max(a[0][D],a[1][D])>=0&&this._lines.drawZero(I,D,this.bounds,P,this.zeroLineColor[D],this.zeroLineWidth[D]*this.pixelRatio)}for(A=0;A<3;++A){this.lineEnable[A]&&this._lines.drawAxisLine(A,this.bounds,M[A].primalOffset,this.lineColor[A],this.lineWidth[A]*this.pixelRatio),this.lineMirror[A]&&this._lines.drawAxisLine(A,this.bounds,M[A].mirrorOffset,this.lineColor[A],this.lineWidth[A]*this.pixelRatio);var z=u(y,M[A].primalMinor),R=u(m,M[A].mirrorMinor),F=this.lineTickLength;for(O=0;O<3;++O){var B=k/r[5*O];z[O]*=F[O]*B,R[O]*=F[O]*B}this.lineTickEnable[A]&&this._lines.drawAxisTicks(A,M[A].primalOffset,z,this.lineTickColor[A],this.lineTickWidth[A]*this.pixelRatio),this.lineTickMirror[A]&&this._lines.drawAxisTicks(A,M[A].mirrorOffset,R,this.lineTickColor[A],this.lineTickWidth[A]*this.pixelRatio)}function N(t){(L=[0,0,0])[t]=1}function j(t,e,r){var n=(t+1)%3,i=(t+2)%3,a=e[n],o=e[i],s=r[n],l=r[i];a>0&&l>0||a>0&&l<0||a<0&&l>0||a<0&&l<0?N(n):(o>0&&s>0||o>0&&s<0||o<0&&s>0||o<0&&s<0)&&N(i)}for(this._lines.unbind(),this._text.bind(r,n,i,this.pixelRatio),A=0;A<3;++A){var U=M[A].primalMinor,V=M[A].mirrorMinor,q=u(x,M[A].primalOffset);for(O=0;O<3;++O)this.lineTickEnable[A]&&(q[O]+=k*U[O]*Math.max(this.lineTickLength[O],0)/r[5*O]);var H=[0,0,0];if(H[A]=1,this.tickEnable[A]){for(-3600===this.tickAngle[A]?(this.tickAngle[A]=0,this.tickAlign[A]="auto"):this.tickAlign[A]=-1,E=1,"auto"===(S=[this.tickAlign[A],.5,E])[0]?S[0]=0:S[0]=parseInt(""+S[0]),L=[0,0,0],j(A,U,V),O=0;O<3;++O)q[O]+=k*U[O]*this.tickPad[O]/r[5*O];this._text.drawTicks(A,this.tickSize[A],this.tickAngle[A],q,this.tickColor[A],H,L,S)}if(this.labelEnable[A]){for(E=0,L=[0,0,0],this.labels[A].length>4&&(N(A),E=1),"auto"===(S=[this.labelAlign[A],.5,E])[0]?S[0]=0:S[0]=parseInt(""+S[0]),O=0;O<3;++O)q[O]+=k*U[O]*this.labelPad[O]/r[5*O];q[A]+=.5*(a[0][A]+a[1][A]),this._text.drawLabel(A,this.labelSize[A],this.labelAngle[A],q,this.labelColor[A],[0,0,0],L,S)}}this._text.unbind()},f.dispose=function(){this._text.dispose(),this._lines.dispose(),this._background.dispose(),this._lines=null,this._text=null,this._background=null,this.gl=null}},1011:function(t,e,r){"use strict";t.exports=function(t){for(var e=[],r=[],s=0,l=0;l<3;++l)for(var u=(l+1)%3,c=(l+2)%3,f=[0,0,0],h=[0,0,0],p=-1;p<=1;p+=2){r.push(s,s+2,s+1,s+1,s+2,s+3),f[l]=p,h[l]=p;for(var d=-1;d<=1;d+=2){f[u]=d;for(var v=-1;v<=1;v+=2)f[c]=v,e.push(f[0],f[1],f[2],h[0],h[1],h[2]),s+=1}var g=u;u=c,c=g}var y=n(t,new Float32Array(e)),m=n(t,new Uint16Array(r),t.ELEMENT_ARRAY_BUFFER),x=i(t,[{buffer:y,type:t.FLOAT,size:3,offset:0,stride:24},{buffer:y,type:t.FLOAT,size:3,offset:12,stride:24}],m),b=a(t);return b.attributes.position.location=0,b.attributes.normal.location=1,new o(t,y,x,b)};var n=r(5827),i=r(2944),a=r(1943).bg;function o(t,e,r,n){this.gl=t,this.buffer=e,this.vao=r,this.shader=n}var s=o.prototype;s.draw=function(t,e,r,n,i,a){for(var o=!1,s=0;s<3;++s)o=o||i[s];if(o){var l=this.gl;l.enable(l.POLYGON_OFFSET_FILL),l.polygonOffset(1,2),this.shader.bind(),this.shader.uniforms={model:t,view:e,projection:r,bounds:n,enable:i,colors:a},this.vao.bind(),this.vao.draw(this.gl.TRIANGLES,36),this.vao.unbind(),l.disable(l.POLYGON_OFFSET_FILL)}},s.dispose=function(){this.vao.dispose(),this.buffer.dispose(),this.shader.dispose()}},2864:function(t,e,r){"use strict";t.exports=function(t,e,r,a,p){i(s,e,t),i(s,r,s);for(var m=0,x=0;x<2;++x){c[2]=a[x][2];for(var b=0;b<2;++b){c[1]=a[b][1];for(var _=0;_<2;++_)c[0]=a[_][0],h(l[m],c,s),m+=1}}var w=-1;for(x=0;x<8;++x){for(var T=l[x][3],k=0;k<3;++k)u[x][k]=l[x][k]/T;p&&(u[x][2]*=-1),T<0&&(w<0||u[x][2]E&&(w|=1<E&&(w|=1<u[x][1])&&(R=x);var F=-1;for(x=0;x<3;++x)(N=R^1<u[B][0]&&(B=N))}var j=v;j[0]=j[1]=j[2]=0,j[n.log2(F^R)]=R&F,j[n.log2(R^B)]=R&B;var U=7^B;U===w||U===z?(U=7^F,j[n.log2(B^U)]=U&B):j[n.log2(F^U)]=U&F;var V=g,q=w;for(A=0;A<3;++A)V[A]=q&1< HALF_PI) && (b <= ONE_AND_HALF_PI)) ?\n b - PI :\n b;\n}\n\nfloat look_horizontal_or_vertical(float a, float ratio) {\n // ratio controls the ratio between being horizontal to (vertical + horizontal)\n // if ratio is set to 0.5 then it is 50%, 50%.\n // when using a higher ratio e.g. 0.75 the result would\n // likely be more horizontal than vertical.\n\n float b = positive_angle(a);\n\n return\n (b < ( ratio) * HALF_PI) ? 0.0 :\n (b < (2.0 - ratio) * HALF_PI) ? -HALF_PI :\n (b < (2.0 + ratio) * HALF_PI) ? 0.0 :\n (b < (4.0 - ratio) * HALF_PI) ? HALF_PI :\n 0.0;\n}\n\nfloat roundTo(float a, float b) {\n return float(b * floor((a + 0.5 * b) / b));\n}\n\nfloat look_round_n_directions(float a, int n) {\n float b = positive_angle(a);\n float div = TWO_PI / float(n);\n float c = roundTo(b, div);\n return look_upwards(c);\n}\n\nfloat applyAlignOption(float rawAngle, float delta) {\n return\n (option > 2) ? look_round_n_directions(rawAngle + delta, option) : // option 3-n: round to n directions\n (option == 2) ? look_horizontal_or_vertical(rawAngle + delta, hv_ratio) : // horizontal or vertical\n (option == 1) ? rawAngle + delta : // use free angle, and flip to align with one direction of the axis\n (option == 0) ? look_upwards(rawAngle) : // use free angle, and stay upwards\n (option ==-1) ? 0.0 : // useful for backward compatibility, all texts remains horizontal\n rawAngle; // otherwise return back raw input angle\n}\n\nbool isAxisTitle = (axis.x == 0.0) &&\n (axis.y == 0.0) &&\n (axis.z == 0.0);\n\nvoid main() {\n //Compute world offset\n float axisDistance = position.z;\n vec3 dataPosition = axisDistance * axis + offset;\n\n float beta = angle; // i.e. user defined attributes for each tick\n\n float axisAngle;\n float clipAngle;\n float flip;\n\n if (enableAlign) {\n axisAngle = (isAxisTitle) ? HALF_PI :\n computeViewAngle(dataPosition, dataPosition + axis);\n clipAngle = computeViewAngle(dataPosition, dataPosition + alignDir);\n\n axisAngle += (sin(axisAngle) < 0.0) ? PI : 0.0;\n clipAngle += (sin(clipAngle) < 0.0) ? PI : 0.0;\n\n flip = (dot(vec2(cos(axisAngle), sin(axisAngle)),\n vec2(sin(clipAngle),-cos(clipAngle))) > 0.0) ? 1.0 : 0.0;\n\n beta += applyAlignOption(clipAngle, flip * PI);\n }\n\n //Compute plane offset\n vec2 planeCoord = position.xy * pixelScale;\n\n mat2 planeXform = scale * mat2(\n cos(beta), sin(beta),\n -sin(beta), cos(beta)\n );\n\n vec2 viewOffset = 2.0 * planeXform * planeCoord / resolution;\n\n //Compute clip position\n vec3 clipPosition = project(dataPosition);\n\n //Apply text offset in clip coordinates\n clipPosition += vec3(viewOffset, 0.0);\n\n //Done\n gl_Position = vec4(clipPosition, 1.0);\n}"]),l=n(["precision highp float;\n#define GLSLIFY 1\n\nuniform vec4 color;\nvoid main() {\n gl_FragColor = color;\n}"]);e.f=function(t){return i(t,s,l,null,[{name:"position",type:"vec3"}])};var u=n(["precision highp float;\n#define GLSLIFY 1\n\nattribute vec3 position;\nattribute vec3 normal;\n\nuniform mat4 model, view, projection;\nuniform vec3 enable;\nuniform vec3 bounds[2];\n\nvarying vec3 colorChannel;\n\nvoid main() {\n\n vec3 signAxis = sign(bounds[1] - bounds[0]);\n\n vec3 realNormal = signAxis * normal;\n\n if(dot(realNormal, enable) > 0.0) {\n vec3 minRange = min(bounds[0], bounds[1]);\n vec3 maxRange = max(bounds[0], bounds[1]);\n vec3 nPosition = mix(minRange, maxRange, 0.5 * (position + 1.0));\n gl_Position = projection * view * model * vec4(nPosition, 1.0);\n } else {\n gl_Position = vec4(0,0,0,0);\n }\n\n colorChannel = abs(realNormal);\n}"]),c=n(["precision highp float;\n#define GLSLIFY 1\n\nuniform vec4 colors[3];\n\nvarying vec3 colorChannel;\n\nvoid main() {\n gl_FragColor = colorChannel.x * colors[0] +\n colorChannel.y * colors[1] +\n colorChannel.z * colors[2];\n}"]);e.bg=function(t){return i(t,u,c,null,[{name:"position",type:"vec3"},{name:"normal",type:"vec3"}])}},9557:function(t,e,r){"use strict";t.exports=function(t,e,r,i,o,l){var u=n(t),f=a(t,[{buffer:u,size:3}]),h=s(t);h.attributes.position.location=0;var p=new c(t,h,u,f);return p.update(e,r,i,o,l),p};var n=r(5827),a=r(2944),o=r(875),s=r(1943).f,l=window||i.global||{},u=l.__TEXT_CACHE||{};function c(t,e,r,n){this.gl=t,this.shader=e,this.buffer=r,this.vao=n,this.tickOffset=this.tickCount=this.labelOffset=this.labelCount=null}l.__TEXT_CACHE={};var f=c.prototype,h=[0,0];f.bind=function(t,e,r,n){this.vao.bind(),this.shader.bind();var i=this.shader.uniforms;i.model=t,i.view=e,i.projection=r,i.pixelScale=n,h[0]=this.gl.drawingBufferWidth,h[1]=this.gl.drawingBufferHeight,this.shader.uniforms.resolution=h},f.unbind=function(){this.vao.unbind()},f.update=function(t,e,r,n,i){var a=[];function s(t,e,r,n,i,s){var l=u[r];l||(l=u[r]={});var c=l[e];c||(c=l[e]=function(t,e){try{return o(t,e)}catch(e){return console.warn('error vectorizing text:"'+t+'" error:',e),{cells:[],positions:[]}}}(e,{triangles:!0,font:r,textAlign:"center",textBaseline:"middle",lineSpacing:i,styletags:s}));for(var f=(n||12)/12,h=c.positions,p=c.cells,d=0,v=p.length;d=0;--y){var m=h[g[y]];a.push(f*m[0],-f*m[1],t)}}for(var l=[0,0,0],c=[0,0,0],f=[0,0,0],h=[0,0,0],p={breaklines:!0,bolds:!0,italics:!0,subscripts:!0,superscripts:!0},d=0;d<3;++d){f[d]=a.length/3|0,s(.5*(t[0][d]+t[1][d]),e[d],r[d],12,1.25,p),h[d]=(a.length/3|0)-f[d],l[d]=a.length/3|0;for(var v=0;v=0&&(i=r.length-n-1);var a=Math.pow(10,i),o=Math.round(t*e*a),s=o+"";if(s.indexOf("e")>=0)return s;var l=o/a,u=o%a;o<0?(l=0|-Math.ceil(l),u=0|-u):(l=0|Math.floor(l),u|=0);var c=""+l;if(o<0&&(c="-"+c),i){for(var f=""+u;f.length=t[0][i];--o)a.push({x:o*e[i],text:r(e[i],o)});n.push(a)}return n},e.equal=function(t,e){for(var r=0;r<3;++r){if(t[r].length!==e[r].length)return!1;for(var n=0;nr)throw new Error("gl-buffer: If resizing buffer, must not specify offset");return t.bufferSubData(e,a,i),r}function c(t,e){for(var r=n.malloc(t.length,e),i=t.length,a=0;a=0;--n){if(e[n]!==r)return!1;r*=t[n]}return!0}(t.shape,t.stride))0===t.offset&&t.data.length===t.shape[0]?this.length=u(this.gl,this.type,this.length,this.usage,t.data,e):this.length=u(this.gl,this.type,this.length,this.usage,t.data.subarray(t.offset,t.shape[0]),e);else{var s=n.malloc(t.size,r),l=a(s,t.shape);i.assign(l,t),this.length=u(this.gl,this.type,this.length,this.usage,e<0?s:s.subarray(0,t.size),e),n.free(s)}}else if(Array.isArray(t)){var f;f=this.type===this.gl.ELEMENT_ARRAY_BUFFER?c(t,"uint16"):c(t,"float32"),this.length=u(this.gl,this.type,this.length,this.usage,e<0?f:f.subarray(0,t.length),e),n.free(f)}else if("object"==typeof t&&"number"==typeof t.length)this.length=u(this.gl,this.type,this.length,this.usage,t,e);else{if("number"!=typeof t&&void 0!==t)throw new Error("gl-buffer: Invalid data type");if(e>=0)throw new Error("gl-buffer: Cannot specify offset when resizing buffer");(t|=0)<=0&&(t=1),this.gl.bufferData(this.type,0|t,this.usage),this.length=t}},t.exports=function(t,e,r,n){if(r=r||t.ARRAY_BUFFER,n=n||t.DYNAMIC_DRAW,r!==t.ARRAY_BUFFER&&r!==t.ELEMENT_ARRAY_BUFFER)throw new Error("gl-buffer: Invalid type for webgl buffer, must be either gl.ARRAY_BUFFER or gl.ELEMENT_ARRAY_BUFFER");if(n!==t.DYNAMIC_DRAW&&n!==t.STATIC_DRAW&&n!==t.STREAM_DRAW)throw new Error("gl-buffer: Invalid usage for buffer, must be either gl.DYNAMIC_DRAW, gl.STATIC_DRAW or gl.STREAM_DRAW");var i=t.createBuffer(),a=new s(t,r,i,0,n);return a.update(e),a}},1140:function(t,e,r){"use strict";var n=r(2858);t.exports=function(t,e){var r=t.positions,i=t.vectors,a={positions:[],vertexIntensity:[],vertexIntensityBounds:t.vertexIntensityBounds,vectors:[],cells:[],coneOffset:t.coneOffset,colormap:t.colormap};if(0===t.positions.length)return e&&(e[0]=[0,0,0],e[1]=[0,0,0]),a;for(var o=0,s=1/0,l=-1/0,u=1/0,c=-1/0,f=1/0,h=-1/0,p=null,d=null,v=[],g=1/0,y=!1,m=0;mo&&(o=n.length(b)),m){var _=2*n.distance(p,x)/(n.length(d)+n.length(b));_?(g=Math.min(g,_),y=!1):y=!0}y||(p=x,d=b),v.push(b)}var w=[s,u,f],T=[l,c,h];e&&(e[0]=w,e[1]=T),0===o&&(o=1);var k=1/o;isFinite(g)||(g=1),a.vectorScale=g;var A=t.coneSize||.5;t.absoluteConeSize&&(A=t.absoluteConeSize*k),a.coneScale=A,m=0;for(var M=0;m=1},p.isTransparent=function(){return this.opacity<1},p.pickSlots=1,p.setPickBase=function(t){this.pickId=t},p.update=function(t){t=t||{};var e=this.gl;this.dirty=!0,"lightPosition"in t&&(this.lightPosition=t.lightPosition),"opacity"in t&&(this.opacity=t.opacity),"ambient"in t&&(this.ambientLight=t.ambient),"diffuse"in t&&(this.diffuseLight=t.diffuse),"specular"in t&&(this.specularLight=t.specular),"roughness"in t&&(this.roughness=t.roughness),"fresnel"in t&&(this.fresnel=t.fresnel),void 0!==t.tubeScale&&(this.tubeScale=t.tubeScale),void 0!==t.vectorScale&&(this.vectorScale=t.vectorScale),void 0!==t.coneScale&&(this.coneScale=t.coneScale),void 0!==t.coneOffset&&(this.coneOffset=t.coneOffset),t.colormap&&(this.texture.shape=[256,256],this.texture.minFilter=e.LINEAR_MIPMAP_LINEAR,this.texture.magFilter=e.LINEAR,this.texture.setPixels(function(t){for(var e=c({colormap:t,nshades:256,format:"rgba"}),r=new Uint8Array(1024),n=0;n<256;++n){for(var i=e[n],a=0;a<3;++a)r[4*n+a]=i[a];r[4*n+3]=255*i[3]}return u(r,[256,256,4],[4,0,1])}(t.colormap)),this.texture.generateMipmap());var r=t.cells,n=t.positions,i=t.vectors;if(n&&r&&i){var a=[],o=[],s=[],l=[],f=[];this.cells=r,this.positions=n,this.vectors=i;var h=t.meshColor||[1,1,1,1],p=t.vertexIntensity,d=1/0,v=-1/0;if(p)if(t.vertexIntensityBounds)d=+t.vertexIntensityBounds[0],v=+t.vertexIntensityBounds[1];else for(var g=0;g0){var v=this.triShader;v.bind(),v.uniforms=u,this.triangleVAO.bind(),e.drawArrays(e.TRIANGLES,0,3*this.triangleCount),this.triangleVAO.unbind()}},p.drawPick=function(t){t=t||{};for(var e=this.gl,r=t.model||f,n=t.view||f,i=t.projection||f,a=[[-1e6,-1e6,-1e6],[1e6,1e6,1e6]],o=0;o<3;++o)a[0][o]=Math.max(a[0][o],this.clipBounds[0][o]),a[1][o]=Math.min(a[1][o],this.clipBounds[1][o]);this._model=[].slice.call(r),this._view=[].slice.call(n),this._projection=[].slice.call(i),this._resolution=[e.drawingBufferWidth,e.drawingBufferHeight];var s={model:r,view:n,projection:i,clipBounds:a,tubeScale:this.tubeScale,vectorScale:this.vectorScale,coneScale:this.coneScale,coneOffset:this.coneOffset,pickId:this.pickId/255},l=this.pickShader;l.bind(),l.uniforms=s,this.triangleCount>0&&(this.triangleVAO.bind(),e.drawArrays(e.TRIANGLES,0,3*this.triangleCount),this.triangleVAO.unbind())},p.pick=function(t){if(!t)return null;if(t.id!==this.pickId)return null;var e=t.value[0]+256*t.value[1]+65536*t.value[2],r=this.cells[e],n=this.positions[r[1]].slice(0,3),i={position:n,dataCoordinate:n,index:Math.floor(r[1]/48)};return"cone"===this.traceType?i.index=Math.floor(r[1]/48):"streamtube"===this.traceType&&(i.intensity=this.intensity[r[1]],i.velocity=this.vectors[r[1]].slice(0,3),i.divergence=this.vectors[r[1]][3],i.index=e),i},p.dispose=function(){this.texture.dispose(),this.triShader.dispose(),this.pickShader.dispose(),this.triangleVAO.dispose(),this.trianglePositions.dispose(),this.triangleVectors.dispose(),this.triangleColors.dispose(),this.triangleUVs.dispose(),this.triangleIds.dispose()},t.exports=function(t,e,r){var s=r.shaders;1===arguments.length&&(t=(e=t).gl);var l=function(t,e){var r=n(t,e.meshShader.vertex,e.meshShader.fragment,null,e.meshShader.attributes);return r.attributes.position.location=0,r.attributes.color.location=2,r.attributes.uv.location=3,r.attributes.vector.location=4,r}(t,s),c=function(t,e){var r=n(t,e.pickShader.vertex,e.pickShader.fragment,null,e.pickShader.attributes);return r.attributes.position.location=0,r.attributes.id.location=1,r.attributes.vector.location=4,r}(t,s),f=o(t,u(new Uint8Array([255,255,255,255]),[1,1,4]));f.generateMipmap(),f.minFilter=t.LINEAR_MIPMAP_LINEAR,f.magFilter=t.LINEAR;var p=i(t),d=i(t),v=i(t),g=i(t),y=i(t),m=new h(t,f,l,c,p,d,y,v,g,a(t,[{buffer:p,type:t.FLOAT,size:4},{buffer:y,type:t.UNSIGNED_BYTE,size:4,normalized:!0},{buffer:v,type:t.FLOAT,size:4},{buffer:g,type:t.FLOAT,size:2},{buffer:d,type:t.FLOAT,size:4}]),r.traceType||"cone");return m.update(e),m}},7234:function(t,e,r){var n=r(6832),i=n(["precision highp float;\n\nprecision highp float;\n#define GLSLIFY 1\n\nvec3 getOrthogonalVector(vec3 v) {\n // Return up-vector for only-z vector.\n // Return ax + by + cz = 0, a point that lies on the plane that has v as a normal and that isn't (0,0,0).\n // From the above if-statement we have ||a|| > 0 U ||b|| > 0.\n // Assign z = 0, x = -b, y = a:\n // a*-b + b*a + c*0 = -ba + ba + 0 = 0\n if (v.x*v.x > v.z*v.z || v.y*v.y > v.z*v.z) {\n return normalize(vec3(-v.y, v.x, 0.0));\n } else {\n return normalize(vec3(0.0, v.z, -v.y));\n }\n}\n\n// Calculate the cone vertex and normal at the given index.\n//\n// The returned vertex is for a cone with its top at origin and height of 1.0,\n// pointing in the direction of the vector attribute.\n//\n// Each cone is made up of a top vertex, a center base vertex and base perimeter vertices.\n// These vertices are used to make up the triangles of the cone by the following:\n// segment + 0 top vertex\n// segment + 1 perimeter vertex a+1\n// segment + 2 perimeter vertex a\n// segment + 3 center base vertex\n// segment + 4 perimeter vertex a\n// segment + 5 perimeter vertex a+1\n// Where segment is the number of the radial segment * 6 and a is the angle at that radial segment.\n// To go from index to segment, floor(index / 6)\n// To go from segment to angle, 2*pi * (segment/segmentCount)\n// To go from index to segment index, index - (segment*6)\n//\nvec3 getConePosition(vec3 d, float rawIndex, float coneOffset, out vec3 normal) {\n\n const float segmentCount = 8.0;\n\n float index = rawIndex - floor(rawIndex /\n (segmentCount * 6.0)) *\n (segmentCount * 6.0);\n\n float segment = floor(0.001 + index/6.0);\n float segmentIndex = index - (segment*6.0);\n\n normal = -normalize(d);\n\n if (segmentIndex > 2.99 && segmentIndex < 3.01) {\n return mix(vec3(0.0), -d, coneOffset);\n }\n\n float nextAngle = (\n (segmentIndex > 0.99 && segmentIndex < 1.01) ||\n (segmentIndex > 4.99 && segmentIndex < 5.01)\n ) ? 1.0 : 0.0;\n float angle = 2.0 * 3.14159 * ((segment + nextAngle) / segmentCount);\n\n vec3 v1 = mix(d, vec3(0.0), coneOffset);\n vec3 v2 = v1 - d;\n\n vec3 u = getOrthogonalVector(d);\n vec3 v = normalize(cross(u, d));\n\n vec3 x = u * cos(angle) * length(d)*0.25;\n vec3 y = v * sin(angle) * length(d)*0.25;\n vec3 v3 = v2 + x + y;\n if (segmentIndex < 3.0) {\n vec3 tx = u * sin(angle);\n vec3 ty = v * -cos(angle);\n vec3 tangent = tx + ty;\n normal = normalize(cross(v3 - v1, tangent));\n }\n\n if (segmentIndex == 0.0) {\n return mix(d, vec3(0.0), coneOffset);\n }\n return v3;\n}\n\nattribute vec3 vector;\nattribute vec4 color, position;\nattribute vec2 uv;\n\nuniform float vectorScale, coneScale, coneOffset;\nuniform mat4 model, view, projection, inverseModel;\nuniform vec3 eyePosition, lightPosition;\n\nvarying vec3 f_normal, f_lightDirection, f_eyeDirection, f_data, f_position;\nvarying vec4 f_color;\nvarying vec2 f_uv;\n\nvoid main() {\n // Scale the vector magnitude to stay constant with\n // model & view changes.\n vec3 normal;\n vec3 XYZ = getConePosition(mat3(model) * ((vectorScale * coneScale) * vector), position.w, coneOffset, normal);\n vec4 conePosition = model * vec4(position.xyz, 1.0) + vec4(XYZ, 0.0);\n\n //Lighting geometry parameters\n vec4 cameraCoordinate = view * conePosition;\n cameraCoordinate.xyz /= cameraCoordinate.w;\n f_lightDirection = lightPosition - cameraCoordinate.xyz;\n f_eyeDirection = eyePosition - cameraCoordinate.xyz;\n f_normal = normalize((vec4(normal, 0.0) * inverseModel).xyz);\n\n // vec4 m_position = model * vec4(conePosition, 1.0);\n vec4 t_position = view * conePosition;\n gl_Position = projection * t_position;\n\n f_color = color;\n f_data = conePosition.xyz;\n f_position = position.xyz;\n f_uv = uv;\n}\n"]),a=n(["#extension GL_OES_standard_derivatives : enable\n\nprecision highp float;\n#define GLSLIFY 1\n\nfloat beckmannDistribution(float x, float roughness) {\n float NdotH = max(x, 0.0001);\n float cos2Alpha = NdotH * NdotH;\n float tan2Alpha = (cos2Alpha - 1.0) / cos2Alpha;\n float roughness2 = roughness * roughness;\n float denom = 3.141592653589793 * roughness2 * cos2Alpha * cos2Alpha;\n return exp(tan2Alpha / roughness2) / denom;\n}\n\nfloat cookTorranceSpecular(\n vec3 lightDirection,\n vec3 viewDirection,\n vec3 surfaceNormal,\n float roughness,\n float fresnel) {\n\n float VdotN = max(dot(viewDirection, surfaceNormal), 0.0);\n float LdotN = max(dot(lightDirection, surfaceNormal), 0.0);\n\n //Half angle vector\n vec3 H = normalize(lightDirection + viewDirection);\n\n //Geometric term\n float NdotH = max(dot(surfaceNormal, H), 0.0);\n float VdotH = max(dot(viewDirection, H), 0.000001);\n float LdotH = max(dot(lightDirection, H), 0.000001);\n float G1 = (2.0 * NdotH * VdotN) / VdotH;\n float G2 = (2.0 * NdotH * LdotN) / LdotH;\n float G = min(1.0, min(G1, G2));\n \n //Distribution term\n float D = beckmannDistribution(NdotH, roughness);\n\n //Fresnel term\n float F = pow(1.0 - VdotN, fresnel);\n\n //Multiply terms and done\n return G * F * D / max(3.14159265 * VdotN, 0.000001);\n}\n\nbool outOfRange(float a, float b, float p) {\n return ((p > max(a, b)) || \n (p < min(a, b)));\n}\n\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\n return (outOfRange(a.x, b.x, p.x) ||\n outOfRange(a.y, b.y, p.y));\n}\n\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\n return (outOfRange(a.x, b.x, p.x) ||\n outOfRange(a.y, b.y, p.y) ||\n outOfRange(a.z, b.z, p.z));\n}\n\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\n return outOfRange(a.xyz, b.xyz, p.xyz);\n}\n\nuniform vec3 clipBounds[2];\nuniform float roughness, fresnel, kambient, kdiffuse, kspecular, opacity;\nuniform sampler2D texture;\n\nvarying vec3 f_normal, f_lightDirection, f_eyeDirection, f_data, f_position;\nvarying vec4 f_color;\nvarying vec2 f_uv;\n\nvoid main() {\n if (outOfRange(clipBounds[0], clipBounds[1], f_position)) discard;\n vec3 N = normalize(f_normal);\n vec3 L = normalize(f_lightDirection);\n vec3 V = normalize(f_eyeDirection);\n\n if(gl_FrontFacing) {\n N = -N;\n }\n\n float specular = min(1.0, max(0.0, cookTorranceSpecular(L, V, N, roughness, fresnel)));\n float diffuse = min(kambient + kdiffuse * max(dot(N, L), 0.0), 1.0);\n\n vec4 surfaceColor = f_color * texture2D(texture, f_uv);\n vec4 litColor = surfaceColor.a * vec4(diffuse * surfaceColor.rgb + kspecular * vec3(1,1,1) * specular, 1.0);\n\n gl_FragColor = litColor * opacity;\n}\n"]),o=n(["precision highp float;\n\nprecision highp float;\n#define GLSLIFY 1\n\nvec3 getOrthogonalVector(vec3 v) {\n // Return up-vector for only-z vector.\n // Return ax + by + cz = 0, a point that lies on the plane that has v as a normal and that isn't (0,0,0).\n // From the above if-statement we have ||a|| > 0 U ||b|| > 0.\n // Assign z = 0, x = -b, y = a:\n // a*-b + b*a + c*0 = -ba + ba + 0 = 0\n if (v.x*v.x > v.z*v.z || v.y*v.y > v.z*v.z) {\n return normalize(vec3(-v.y, v.x, 0.0));\n } else {\n return normalize(vec3(0.0, v.z, -v.y));\n }\n}\n\n// Calculate the cone vertex and normal at the given index.\n//\n// The returned vertex is for a cone with its top at origin and height of 1.0,\n// pointing in the direction of the vector attribute.\n//\n// Each cone is made up of a top vertex, a center base vertex and base perimeter vertices.\n// These vertices are used to make up the triangles of the cone by the following:\n// segment + 0 top vertex\n// segment + 1 perimeter vertex a+1\n// segment + 2 perimeter vertex a\n// segment + 3 center base vertex\n// segment + 4 perimeter vertex a\n// segment + 5 perimeter vertex a+1\n// Where segment is the number of the radial segment * 6 and a is the angle at that radial segment.\n// To go from index to segment, floor(index / 6)\n// To go from segment to angle, 2*pi * (segment/segmentCount)\n// To go from index to segment index, index - (segment*6)\n//\nvec3 getConePosition(vec3 d, float rawIndex, float coneOffset, out vec3 normal) {\n\n const float segmentCount = 8.0;\n\n float index = rawIndex - floor(rawIndex /\n (segmentCount * 6.0)) *\n (segmentCount * 6.0);\n\n float segment = floor(0.001 + index/6.0);\n float segmentIndex = index - (segment*6.0);\n\n normal = -normalize(d);\n\n if (segmentIndex > 2.99 && segmentIndex < 3.01) {\n return mix(vec3(0.0), -d, coneOffset);\n }\n\n float nextAngle = (\n (segmentIndex > 0.99 && segmentIndex < 1.01) ||\n (segmentIndex > 4.99 && segmentIndex < 5.01)\n ) ? 1.0 : 0.0;\n float angle = 2.0 * 3.14159 * ((segment + nextAngle) / segmentCount);\n\n vec3 v1 = mix(d, vec3(0.0), coneOffset);\n vec3 v2 = v1 - d;\n\n vec3 u = getOrthogonalVector(d);\n vec3 v = normalize(cross(u, d));\n\n vec3 x = u * cos(angle) * length(d)*0.25;\n vec3 y = v * sin(angle) * length(d)*0.25;\n vec3 v3 = v2 + x + y;\n if (segmentIndex < 3.0) {\n vec3 tx = u * sin(angle);\n vec3 ty = v * -cos(angle);\n vec3 tangent = tx + ty;\n normal = normalize(cross(v3 - v1, tangent));\n }\n\n if (segmentIndex == 0.0) {\n return mix(d, vec3(0.0), coneOffset);\n }\n return v3;\n}\n\nattribute vec4 vector;\nattribute vec4 position;\nattribute vec4 id;\n\nuniform mat4 model, view, projection;\nuniform float vectorScale, coneScale, coneOffset;\n\nvarying vec3 f_position;\nvarying vec4 f_id;\n\nvoid main() {\n vec3 normal;\n vec3 XYZ = getConePosition(mat3(model) * ((vectorScale * coneScale) * vector.xyz), position.w, coneOffset, normal);\n vec4 conePosition = model * vec4(position.xyz, 1.0) + vec4(XYZ, 0.0);\n gl_Position = projection * view * conePosition;\n f_id = id;\n f_position = position.xyz;\n}\n"]),s=n(["precision highp float;\n#define GLSLIFY 1\n\nbool outOfRange(float a, float b, float p) {\n return ((p > max(a, b)) || \n (p < min(a, b)));\n}\n\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\n return (outOfRange(a.x, b.x, p.x) ||\n outOfRange(a.y, b.y, p.y));\n}\n\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\n return (outOfRange(a.x, b.x, p.x) ||\n outOfRange(a.y, b.y, p.y) ||\n outOfRange(a.z, b.z, p.z));\n}\n\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\n return outOfRange(a.xyz, b.xyz, p.xyz);\n}\n\nuniform vec3 clipBounds[2];\nuniform float pickId;\n\nvarying vec3 f_position;\nvarying vec4 f_id;\n\nvoid main() {\n if (outOfRange(clipBounds[0], clipBounds[1], f_position)) discard;\n\n gl_FragColor = vec4(pickId, f_id.xyz);\n}"]);e.meshShader={vertex:i,fragment:a,attributes:[{name:"position",type:"vec4"},{name:"color",type:"vec4"},{name:"uv",type:"vec2"},{name:"vector",type:"vec3"}]},e.pickShader={vertex:o,fragment:s,attributes:[{name:"position",type:"vec4"},{name:"id",type:"vec4"},{name:"vector",type:"vec3"}]}},1950:function(t){t.exports={0:"NONE",1:"ONE",2:"LINE_LOOP",3:"LINE_STRIP",4:"TRIANGLES",5:"TRIANGLE_STRIP",6:"TRIANGLE_FAN",256:"DEPTH_BUFFER_BIT",512:"NEVER",513:"LESS",514:"EQUAL",515:"LEQUAL",516:"GREATER",517:"NOTEQUAL",518:"GEQUAL",519:"ALWAYS",768:"SRC_COLOR",769:"ONE_MINUS_SRC_COLOR",770:"SRC_ALPHA",771:"ONE_MINUS_SRC_ALPHA",772:"DST_ALPHA",773:"ONE_MINUS_DST_ALPHA",774:"DST_COLOR",775:"ONE_MINUS_DST_COLOR",776:"SRC_ALPHA_SATURATE",1024:"STENCIL_BUFFER_BIT",1028:"FRONT",1029:"BACK",1032:"FRONT_AND_BACK",1280:"INVALID_ENUM",1281:"INVALID_VALUE",1282:"INVALID_OPERATION",1285:"OUT_OF_MEMORY",1286:"INVALID_FRAMEBUFFER_OPERATION",2304:"CW",2305:"CCW",2849:"LINE_WIDTH",2884:"CULL_FACE",2885:"CULL_FACE_MODE",2886:"FRONT_FACE",2928:"DEPTH_RANGE",2929:"DEPTH_TEST",2930:"DEPTH_WRITEMASK",2931:"DEPTH_CLEAR_VALUE",2932:"DEPTH_FUNC",2960:"STENCIL_TEST",2961:"STENCIL_CLEAR_VALUE",2962:"STENCIL_FUNC",2963:"STENCIL_VALUE_MASK",2964:"STENCIL_FAIL",2965:"STENCIL_PASS_DEPTH_FAIL",2966:"STENCIL_PASS_DEPTH_PASS",2967:"STENCIL_REF",2968:"STENCIL_WRITEMASK",2978:"VIEWPORT",3024:"DITHER",3042:"BLEND",3088:"SCISSOR_BOX",3089:"SCISSOR_TEST",3106:"COLOR_CLEAR_VALUE",3107:"COLOR_WRITEMASK",3317:"UNPACK_ALIGNMENT",3333:"PACK_ALIGNMENT",3379:"MAX_TEXTURE_SIZE",3386:"MAX_VIEWPORT_DIMS",3408:"SUBPIXEL_BITS",3410:"RED_BITS",3411:"GREEN_BITS",3412:"BLUE_BITS",3413:"ALPHA_BITS",3414:"DEPTH_BITS",3415:"STENCIL_BITS",3553:"TEXTURE_2D",4352:"DONT_CARE",4353:"FASTEST",4354:"NICEST",5120:"BYTE",5121:"UNSIGNED_BYTE",5122:"SHORT",5123:"UNSIGNED_SHORT",5124:"INT",5125:"UNSIGNED_INT",5126:"FLOAT",5386:"INVERT",5890:"TEXTURE",6401:"STENCIL_INDEX",6402:"DEPTH_COMPONENT",6406:"ALPHA",6407:"RGB",6408:"RGBA",6409:"LUMINANCE",6410:"LUMINANCE_ALPHA",7680:"KEEP",7681:"REPLACE",7682:"INCR",7683:"DECR",7936:"VENDOR",7937:"RENDERER",7938:"VERSION",9728:"NEAREST",9729:"LINEAR",9984:"NEAREST_MIPMAP_NEAREST",9985:"LINEAR_MIPMAP_NEAREST",9986:"NEAREST_MIPMAP_LINEAR",9987:"LINEAR_MIPMAP_LINEAR",10240:"TEXTURE_MAG_FILTER",10241:"TEXTURE_MIN_FILTER",10242:"TEXTURE_WRAP_S",10243:"TEXTURE_WRAP_T",10497:"REPEAT",10752:"POLYGON_OFFSET_UNITS",16384:"COLOR_BUFFER_BIT",32769:"CONSTANT_COLOR",32770:"ONE_MINUS_CONSTANT_COLOR",32771:"CONSTANT_ALPHA",32772:"ONE_MINUS_CONSTANT_ALPHA",32773:"BLEND_COLOR",32774:"FUNC_ADD",32777:"BLEND_EQUATION_RGB",32778:"FUNC_SUBTRACT",32779:"FUNC_REVERSE_SUBTRACT",32819:"UNSIGNED_SHORT_4_4_4_4",32820:"UNSIGNED_SHORT_5_5_5_1",32823:"POLYGON_OFFSET_FILL",32824:"POLYGON_OFFSET_FACTOR",32854:"RGBA4",32855:"RGB5_A1",32873:"TEXTURE_BINDING_2D",32926:"SAMPLE_ALPHA_TO_COVERAGE",32928:"SAMPLE_COVERAGE",32936:"SAMPLE_BUFFERS",32937:"SAMPLES",32938:"SAMPLE_COVERAGE_VALUE",32939:"SAMPLE_COVERAGE_INVERT",32968:"BLEND_DST_RGB",32969:"BLEND_SRC_RGB",32970:"BLEND_DST_ALPHA",32971:"BLEND_SRC_ALPHA",33071:"CLAMP_TO_EDGE",33170:"GENERATE_MIPMAP_HINT",33189:"DEPTH_COMPONENT16",33306:"DEPTH_STENCIL_ATTACHMENT",33635:"UNSIGNED_SHORT_5_6_5",33648:"MIRRORED_REPEAT",33901:"ALIASED_POINT_SIZE_RANGE",33902:"ALIASED_LINE_WIDTH_RANGE",33984:"TEXTURE0",33985:"TEXTURE1",33986:"TEXTURE2",33987:"TEXTURE3",33988:"TEXTURE4",33989:"TEXTURE5",33990:"TEXTURE6",33991:"TEXTURE7",33992:"TEXTURE8",33993:"TEXTURE9",33994:"TEXTURE10",33995:"TEXTURE11",33996:"TEXTURE12",33997:"TEXTURE13",33998:"TEXTURE14",33999:"TEXTURE15",34e3:"TEXTURE16",34001:"TEXTURE17",34002:"TEXTURE18",34003:"TEXTURE19",34004:"TEXTURE20",34005:"TEXTURE21",34006:"TEXTURE22",34007:"TEXTURE23",34008:"TEXTURE24",34009:"TEXTURE25",34010:"TEXTURE26",34011:"TEXTURE27",34012:"TEXTURE28",34013:"TEXTURE29",34014:"TEXTURE30",34015:"TEXTURE31",34016:"ACTIVE_TEXTURE",34024:"MAX_RENDERBUFFER_SIZE",34041:"DEPTH_STENCIL",34055:"INCR_WRAP",34056:"DECR_WRAP",34067:"TEXTURE_CUBE_MAP",34068:"TEXTURE_BINDING_CUBE_MAP",34069:"TEXTURE_CUBE_MAP_POSITIVE_X",34070:"TEXTURE_CUBE_MAP_NEGATIVE_X",34071:"TEXTURE_CUBE_MAP_POSITIVE_Y",34072:"TEXTURE_CUBE_MAP_NEGATIVE_Y",34073:"TEXTURE_CUBE_MAP_POSITIVE_Z",34074:"TEXTURE_CUBE_MAP_NEGATIVE_Z",34076:"MAX_CUBE_MAP_TEXTURE_SIZE",34338:"VERTEX_ATTRIB_ARRAY_ENABLED",34339:"VERTEX_ATTRIB_ARRAY_SIZE",34340:"VERTEX_ATTRIB_ARRAY_STRIDE",34341:"VERTEX_ATTRIB_ARRAY_TYPE",34342:"CURRENT_VERTEX_ATTRIB",34373:"VERTEX_ATTRIB_ARRAY_POINTER",34466:"NUM_COMPRESSED_TEXTURE_FORMATS",34467:"COMPRESSED_TEXTURE_FORMATS",34660:"BUFFER_SIZE",34661:"BUFFER_USAGE",34816:"STENCIL_BACK_FUNC",34817:"STENCIL_BACK_FAIL",34818:"STENCIL_BACK_PASS_DEPTH_FAIL",34819:"STENCIL_BACK_PASS_DEPTH_PASS",34877:"BLEND_EQUATION_ALPHA",34921:"MAX_VERTEX_ATTRIBS",34922:"VERTEX_ATTRIB_ARRAY_NORMALIZED",34930:"MAX_TEXTURE_IMAGE_UNITS",34962:"ARRAY_BUFFER",34963:"ELEMENT_ARRAY_BUFFER",34964:"ARRAY_BUFFER_BINDING",34965:"ELEMENT_ARRAY_BUFFER_BINDING",34975:"VERTEX_ATTRIB_ARRAY_BUFFER_BINDING",35040:"STREAM_DRAW",35044:"STATIC_DRAW",35048:"DYNAMIC_DRAW",35632:"FRAGMENT_SHADER",35633:"VERTEX_SHADER",35660:"MAX_VERTEX_TEXTURE_IMAGE_UNITS",35661:"MAX_COMBINED_TEXTURE_IMAGE_UNITS",35663:"SHADER_TYPE",35664:"FLOAT_VEC2",35665:"FLOAT_VEC3",35666:"FLOAT_VEC4",35667:"INT_VEC2",35668:"INT_VEC3",35669:"INT_VEC4",35670:"BOOL",35671:"BOOL_VEC2",35672:"BOOL_VEC3",35673:"BOOL_VEC4",35674:"FLOAT_MAT2",35675:"FLOAT_MAT3",35676:"FLOAT_MAT4",35678:"SAMPLER_2D",35680:"SAMPLER_CUBE",35712:"DELETE_STATUS",35713:"COMPILE_STATUS",35714:"LINK_STATUS",35715:"VALIDATE_STATUS",35716:"INFO_LOG_LENGTH",35717:"ATTACHED_SHADERS",35718:"ACTIVE_UNIFORMS",35719:"ACTIVE_UNIFORM_MAX_LENGTH",35720:"SHADER_SOURCE_LENGTH",35721:"ACTIVE_ATTRIBUTES",35722:"ACTIVE_ATTRIBUTE_MAX_LENGTH",35724:"SHADING_LANGUAGE_VERSION",35725:"CURRENT_PROGRAM",36003:"STENCIL_BACK_REF",36004:"STENCIL_BACK_VALUE_MASK",36005:"STENCIL_BACK_WRITEMASK",36006:"FRAMEBUFFER_BINDING",36007:"RENDERBUFFER_BINDING",36048:"FRAMEBUFFER_ATTACHMENT_OBJECT_TYPE",36049:"FRAMEBUFFER_ATTACHMENT_OBJECT_NAME",36050:"FRAMEBUFFER_ATTACHMENT_TEXTURE_LEVEL",36051:"FRAMEBUFFER_ATTACHMENT_TEXTURE_CUBE_MAP_FACE",36053:"FRAMEBUFFER_COMPLETE",36054:"FRAMEBUFFER_INCOMPLETE_ATTACHMENT",36055:"FRAMEBUFFER_INCOMPLETE_MISSING_ATTACHMENT",36057:"FRAMEBUFFER_INCOMPLETE_DIMENSIONS",36061:"FRAMEBUFFER_UNSUPPORTED",36064:"COLOR_ATTACHMENT0",36096:"DEPTH_ATTACHMENT",36128:"STENCIL_ATTACHMENT",36160:"FRAMEBUFFER",36161:"RENDERBUFFER",36162:"RENDERBUFFER_WIDTH",36163:"RENDERBUFFER_HEIGHT",36164:"RENDERBUFFER_INTERNAL_FORMAT",36168:"STENCIL_INDEX8",36176:"RENDERBUFFER_RED_SIZE",36177:"RENDERBUFFER_GREEN_SIZE",36178:"RENDERBUFFER_BLUE_SIZE",36179:"RENDERBUFFER_ALPHA_SIZE",36180:"RENDERBUFFER_DEPTH_SIZE",36181:"RENDERBUFFER_STENCIL_SIZE",36194:"RGB565",36336:"LOW_FLOAT",36337:"MEDIUM_FLOAT",36338:"HIGH_FLOAT",36339:"LOW_INT",36340:"MEDIUM_INT",36341:"HIGH_INT",36346:"SHADER_COMPILER",36347:"MAX_VERTEX_UNIFORM_VECTORS",36348:"MAX_VARYING_VECTORS",36349:"MAX_FRAGMENT_UNIFORM_VECTORS",37440:"UNPACK_FLIP_Y_WEBGL",37441:"UNPACK_PREMULTIPLY_ALPHA_WEBGL",37442:"CONTEXT_LOST_WEBGL",37443:"UNPACK_COLORSPACE_CONVERSION_WEBGL",37444:"BROWSER_DEFAULT_WEBGL"}},6603:function(t,e,r){var n=r(1950);t.exports=function(t){return n[t]}},3110:function(t,e,r){"use strict";t.exports=function(t){var e=t.gl,r=n(e),o=i(e,[{buffer:r,type:e.FLOAT,size:3,offset:0,stride:40},{buffer:r,type:e.FLOAT,size:4,offset:12,stride:40},{buffer:r,type:e.FLOAT,size:3,offset:28,stride:40}]),l=a(e);l.attributes.position.location=0,l.attributes.color.location=1,l.attributes.offset.location=2;var u=new s(e,r,o,l);return u.update(t),u};var n=r(5827),i=r(2944),a=r(7667),o=[1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1];function s(t,e,r,n){this.gl=t,this.shader=n,this.buffer=e,this.vao=r,this.pixelRatio=1,this.bounds=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]],this.clipBounds=[[-1/0,-1/0,-1/0],[1/0,1/0,1/0]],this.lineWidth=[1,1,1],this.capSize=[10,10,10],this.lineCount=[0,0,0],this.lineOffset=[0,0,0],this.opacity=1,this.hasAlpha=!1}var l=s.prototype;function u(t,e){for(var r=0;r<3;++r)t[0][r]=Math.min(t[0][r],e[r]),t[1][r]=Math.max(t[1][r],e[r])}l.isOpaque=function(){return!this.hasAlpha},l.isTransparent=function(){return this.hasAlpha},l.drawTransparent=l.draw=function(t){var e=this.gl,r=this.shader.uniforms;this.shader.bind();var n=r.view=t.view||o,i=r.projection=t.projection||o;r.model=t.model||o,r.clipBounds=this.clipBounds,r.opacity=this.opacity;var a=n[12],s=n[13],l=n[14],u=n[15],c=(t._ortho?2:1)*this.pixelRatio*(i[3]*a+i[7]*s+i[11]*l+i[15]*u)/e.drawingBufferHeight;this.vao.bind();for(var f=0;f<3;++f)e.lineWidth(this.lineWidth[f]*this.pixelRatio),r.capSize=this.capSize[f]*c,this.lineCount[f]&&e.drawArrays(e.LINES,this.lineOffset[f],this.lineCount[f]);this.vao.unbind()};var c=function(){for(var t=new Array(3),e=0;e<3;++e){for(var r=[],n=1;n<=2;++n)for(var i=-1;i<=1;i+=2){var a=[0,0,0];a[(n+e)%3]=i,r.push(a)}t[e]=r}return t}();function f(t,e,r,n){for(var i=c[n],a=0;a0&&((p=c.slice())[s]+=d[1][s],i.push(c[0],c[1],c[2],v[0],v[1],v[2],v[3],0,0,0,p[0],p[1],p[2],v[0],v[1],v[2],v[3],0,0,0),u(this.bounds,p),o+=2+f(i,p,v,s)))}this.lineCount[s]=o-this.lineOffset[s]}this.buffer.update(i)}},l.dispose=function(){this.shader.dispose(),this.buffer.dispose(),this.vao.dispose()}},7667:function(t,e,r){"use strict";var n=r(6832),i=r(5158),a=n(["precision highp float;\n#define GLSLIFY 1\n\nattribute vec3 position, offset;\nattribute vec4 color;\nuniform mat4 model, view, projection;\nuniform float capSize;\nvarying vec4 fragColor;\nvarying vec3 fragPosition;\n\nvoid main() {\n vec4 worldPosition = model * vec4(position, 1.0);\n worldPosition = (worldPosition / worldPosition.w) + vec4(capSize * offset, 0.0);\n gl_Position = projection * view * worldPosition;\n fragColor = color;\n fragPosition = position;\n}"]),o=n(["precision highp float;\n#define GLSLIFY 1\n\nbool outOfRange(float a, float b, float p) {\n return ((p > max(a, b)) || \n (p < min(a, b)));\n}\n\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\n return (outOfRange(a.x, b.x, p.x) ||\n outOfRange(a.y, b.y, p.y));\n}\n\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\n return (outOfRange(a.x, b.x, p.x) ||\n outOfRange(a.y, b.y, p.y) ||\n outOfRange(a.z, b.z, p.z));\n}\n\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\n return outOfRange(a.xyz, b.xyz, p.xyz);\n}\n\nuniform vec3 clipBounds[2];\nuniform float opacity;\nvarying vec3 fragPosition;\nvarying vec4 fragColor;\n\nvoid main() {\n if (\n outOfRange(clipBounds[0], clipBounds[1], fragPosition) ||\n fragColor.a * opacity == 0.\n ) discard;\n\n gl_FragColor = opacity * fragColor;\n}"]);t.exports=function(t){return i(t,a,o,null,[{name:"position",type:"vec3"},{name:"color",type:"vec4"},{name:"offset",type:"vec3"}])}},4234:function(t,e,r){"use strict";var n=r(8931);t.exports=function(t,e,r,n){i||(i=t.FRAMEBUFFER_UNSUPPORTED,a=t.FRAMEBUFFER_INCOMPLETE_ATTACHMENT,o=t.FRAMEBUFFER_INCOMPLETE_DIMENSIONS,s=t.FRAMEBUFFER_INCOMPLETE_MISSING_ATTACHMENT);var u=t.getExtension("WEBGL_draw_buffers");if(!l&&u&&function(t,e){var r=t.getParameter(e.MAX_COLOR_ATTACHMENTS_WEBGL);l=new Array(r+1);for(var n=0;n<=r;++n){for(var i=new Array(r),a=0;ac||r<0||r>c)throw new Error("gl-fbo: Parameters are too large for FBO");var f=1;if("color"in(n=n||{})){if((f=Math.max(0|n.color,0))<0)throw new Error("gl-fbo: Must specify a nonnegative number of colors");if(f>1){if(!u)throw new Error("gl-fbo: Multiple draw buffer extension not supported");if(f>t.getParameter(u.MAX_COLOR_ATTACHMENTS_WEBGL))throw new Error("gl-fbo: Context does not support "+f+" draw buffers")}}var h=t.UNSIGNED_BYTE,p=t.getExtension("OES_texture_float");if(n.float&&f>0){if(!p)throw new Error("gl-fbo: Context does not support floating point textures");h=t.FLOAT}else n.preferFloat&&f>0&&p&&(h=t.FLOAT);var v=!0;"depth"in n&&(v=!!n.depth);var g=!1;return"stencil"in n&&(g=!!n.stencil),new d(t,e,r,h,f,v,g,u)};var i,a,o,s,l=null;function u(t){return[t.getParameter(t.FRAMEBUFFER_BINDING),t.getParameter(t.RENDERBUFFER_BINDING),t.getParameter(t.TEXTURE_BINDING_2D)]}function c(t,e){t.bindFramebuffer(t.FRAMEBUFFER,e[0]),t.bindRenderbuffer(t.RENDERBUFFER,e[1]),t.bindTexture(t.TEXTURE_2D,e[2])}function f(t){switch(t){case i:throw new Error("gl-fbo: Framebuffer unsupported");case a:throw new Error("gl-fbo: Framebuffer incomplete attachment");case o:throw new Error("gl-fbo: Framebuffer incomplete dimensions");case s:throw new Error("gl-fbo: Framebuffer incomplete missing attachment");default:throw new Error("gl-fbo: Framebuffer failed for unspecified reason")}}function h(t,e,r,i,a,o){if(!i)return null;var s=n(t,e,r,a,i);return 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x=r.checkFramebufferStatus(r.FRAMEBUFFER);if(x!==r.FRAMEBUFFER_COMPLETE){for(t._destroyed=!0,r.bindFramebuffer(r.FRAMEBUFFER,null),r.deleteFramebuffer(t.handle),t.handle=null,t.depth&&(t.depth.dispose(),t.depth=null),t._depth_rb&&(r.deleteRenderbuffer(t._depth_rb),t._depth_rb=null),y=0;yi||r<0||r>i)throw new Error("gl-fbo: Can't resize FBO, invalid dimensions");t._shape[0]=e,t._shape[1]=r;for(var a=u(n),o=0;o>8*p&255;this.pickOffset=r,i.bind();var d=i.uniforms;d.viewTransform=t,d.pickOffset=e,d.shape=this.shape;var v=i.attributes;return this.positionBuffer.bind(),v.position.pointer(),this.weightBuffer.bind(),v.weight.pointer(s.UNSIGNED_BYTE,!1),this.idBuffer.bind(),v.pickId.pointer(s.UNSIGNED_BYTE,!1),s.drawArrays(s.TRIANGLES,0,o),r+this.shape[0]*this.shape[1]}}}(),f.pick=function(t,e,r){var n=this.pickOffset,i=this.shape[0]*this.shape[1];if(r=n+i)return null;var a=r-n,o=this.xData,s=this.yData;return{object:this,pointId:a,dataCoord:[o[a%this.shape[0]],s[a/this.shape[0]|0]]}},f.update=function(t){var e=(t=t||{}).shape||[0,0],r=t.x||i(e[0]),o=t.y||i(e[1]),s=t.z||new Float32Array(e[0]*e[1]),l=!1!==t.zsmooth;this.xData=r,this.yData=o;var u,c,f,p,d=t.colorLevels||[0],v=t.colorValues||[0,0,0,1],g=d.length,y=this.bounds;l?(u=y[0]=r[0],c=y[1]=o[0],f=y[2]=r[r.length-1],p=y[3]=o[o.length-1]):(u=y[0]=r[0]+(r[1]-r[0])/2,c=y[1]=o[0]+(o[1]-o[0])/2,f=y[2]=r[r.length-1]+(r[r.length-1]-r[r.length-2])/2,p=y[3]=o[o.length-1]+(o[o.length-1]-o[o.length-2])/2);var m=1/(f-u),x=1/(p-c),b=e[0],_=e[1];this.shape=[b,_];var w=(l?(b-1)*(_-1):b*_)*(h.length>>>1);this.numVertices=w;for(var T=a.mallocUint8(4*w),k=a.mallocFloat32(2*w),A=a.mallocUint8(2*w),M=a.mallocUint32(w),S=0,E=l?b-1:b,L=l?_-1:_,C=0;C max(a, b)) || \n (p < min(a, b)));\n}\n\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\n return (outOfRange(a.x, b.x, p.x) ||\n outOfRange(a.y, b.y, p.y));\n}\n\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\n return (outOfRange(a.x, b.x, p.x) ||\n outOfRange(a.y, b.y, p.y) ||\n outOfRange(a.z, b.z, p.z));\n}\n\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\n return outOfRange(a.xyz, b.xyz, p.xyz);\n}\n\nuniform vec3 clipBounds[2];\nuniform sampler2D dashTexture;\nuniform float dashScale;\nuniform float opacity;\n\nvarying vec3 worldPosition;\nvarying float pixelArcLength;\nvarying vec4 fragColor;\n\nvoid main() {\n if (\n outOfRange(clipBounds[0], clipBounds[1], worldPosition) ||\n fragColor.a * opacity == 0.\n ) discard;\n\n float dashWeight = texture2D(dashTexture, vec2(dashScale * pixelArcLength, 0)).r;\n if(dashWeight < 0.5) {\n discard;\n }\n gl_FragColor = fragColor * opacity;\n}\n"]),s=n(["precision highp float;\n#define GLSLIFY 1\n\n#define FLOAT_MAX 1.70141184e38\n#define FLOAT_MIN 1.17549435e-38\n\n// https://github.com/mikolalysenko/glsl-read-float/blob/master/index.glsl\nvec4 packFloat(float v) {\n float av = abs(v);\n\n //Handle special cases\n if(av < FLOAT_MIN) {\n return vec4(0.0, 0.0, 0.0, 0.0);\n } else if(v > FLOAT_MAX) {\n return vec4(127.0, 128.0, 0.0, 0.0) / 255.0;\n } else if(v < -FLOAT_MAX) {\n return vec4(255.0, 128.0, 0.0, 0.0) / 255.0;\n }\n\n vec4 c = vec4(0,0,0,0);\n\n //Compute exponent and mantissa\n float e = floor(log2(av));\n float m = av * pow(2.0, -e) - 1.0;\n\n //Unpack mantissa\n c[1] = floor(128.0 * m);\n m -= c[1] / 128.0;\n c[2] = floor(32768.0 * m);\n m -= c[2] / 32768.0;\n c[3] = floor(8388608.0 * m);\n\n //Unpack exponent\n float ebias = e + 127.0;\n c[0] = floor(ebias / 2.0);\n ebias -= c[0] * 2.0;\n c[1] += floor(ebias) * 128.0;\n\n //Unpack sign bit\n c[0] += 128.0 * step(0.0, -v);\n\n //Scale back to range\n return c / 255.0;\n}\n\nbool outOfRange(float a, float b, float p) {\n return ((p > max(a, b)) || \n (p < min(a, b)));\n}\n\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\n return (outOfRange(a.x, b.x, p.x) ||\n outOfRange(a.y, b.y, p.y));\n}\n\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\n return (outOfRange(a.x, b.x, p.x) ||\n outOfRange(a.y, b.y, p.y) ||\n outOfRange(a.z, b.z, p.z));\n}\n\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\n return outOfRange(a.xyz, b.xyz, p.xyz);\n}\n\nuniform float pickId;\nuniform vec3 clipBounds[2];\n\nvarying vec3 worldPosition;\nvarying float pixelArcLength;\nvarying vec4 fragColor;\n\nvoid main() {\n if (outOfRange(clipBounds[0], clipBounds[1], worldPosition)) discard;\n\n gl_FragColor = vec4(pickId/255.0, packFloat(pixelArcLength).xyz);\n}"]),l=[{name:"position",type:"vec3"},{name:"nextPosition",type:"vec3"},{name:"arcLength",type:"float"},{name:"lineWidth",type:"float"},{name:"color",type:"vec4"}];e.createShader=function(t){return i(t,a,o,null,l)},e.createPickShader=function(t){return i(t,a,s,null,l)}},6086:function(t,e,r){"use strict";t.exports=function(t){var e=t.gl||t.scene&&t.scene.gl,r=f(e);r.attributes.position.location=0,r.attributes.nextPosition.location=1,r.attributes.arcLength.location=2,r.attributes.lineWidth.location=3,r.attributes.color.location=4;var o=h(e);o.attributes.position.location=0,o.attributes.nextPosition.location=1,o.attributes.arcLength.location=2,o.attributes.lineWidth.location=3,o.attributes.color.location=4;for(var s=n(e),l=i(e,[{buffer:s,size:3,offset:0,stride:48},{buffer:s,size:3,offset:12,stride:48},{buffer:s,size:1,offset:24,stride:48},{buffer:s,size:1,offset:28,stride:48},{buffer:s,size:4,offset:32,stride:48}]),c=u(new Array(1024),[256,1,4]),p=0;p<1024;++p)c.data[p]=255;var d=a(e,c);d.wrap=e.REPEAT;var v=new y(e,r,o,s,l,d);return v.update(t),v};var n=r(5827),i=r(2944),a=r(8931),o=new Uint8Array(4),s=new Float32Array(o.buffer),l=r(5070),u=r(5050),c=r(248),f=c.createShader,h=c.createPickShader,p=[1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1];function d(t,e){for(var r=0,n=0;n<3;++n){var i=t[n]-e[n];r+=i*i}return Math.sqrt(r)}function v(t){for(var e=[[-1e6,-1e6,-1e6],[1e6,1e6,1e6]],r=0;r<3;++r)e[0][r]=Math.max(t[0][r],e[0][r]),e[1][r]=Math.min(t[1][r],e[1][r]);return e}function g(t,e,r,n){this.arcLength=t,this.position=e,this.index=r,this.dataCoordinate=n}function y(t,e,r,n,i,a){this.gl=t,this.shader=e,this.pickShader=r,this.buffer=n,this.vao=i,this.clipBounds=[[-1/0,-1/0,-1/0],[1/0,1/0,1/0]],this.points=[],this.arcLength=[],this.vertexCount=0,this.bounds=[[0,0,0],[0,0,0]],this.pickId=0,this.lineWidth=1,this.texture=a,this.dashScale=1,this.opacity=1,this.hasAlpha=!1,this.dirty=!0,this.pixelRatio=1}var m=y.prototype;m.isTransparent=function(){return this.hasAlpha},m.isOpaque=function(){return!this.hasAlpha},m.pickSlots=1,m.setPickBase=function(t){this.pickId=t},m.drawTransparent=m.draw=function(t){if(this.vertexCount){var e=this.gl,r=this.shader,n=this.vao;r.bind(),r.uniforms={model:t.model||p,view:t.view||p,projection:t.projection||p,clipBounds:v(this.clipBounds),dashTexture:this.texture.bind(),dashScale:this.dashScale/this.arcLength[this.arcLength.length-1],opacity:this.opacity,screenShape:[e.drawingBufferWidth,e.drawingBufferHeight],pixelRatio:this.pixelRatio},n.bind(),n.draw(e.TRIANGLE_STRIP,this.vertexCount),n.unbind()}},m.drawPick=function(t){if(this.vertexCount){var e=this.gl,r=this.pickShader,n=this.vao;r.bind(),r.uniforms={model:t.model||p,view:t.view||p,projection:t.projection||p,pickId:this.pickId,clipBounds:v(this.clipBounds),screenShape:[e.drawingBufferWidth,e.drawingBufferHeight],pixelRatio:this.pixelRatio},n.bind(),n.draw(e.TRIANGLE_STRIP,this.vertexCount),n.unbind()}},m.update=function(t){var e,r;this.dirty=!0;var n=!!t.connectGaps;"dashScale"in t&&(this.dashScale=t.dashScale),this.hasAlpha=!1,"opacity"in t&&(this.opacity=+t.opacity,this.opacity<1&&(this.hasAlpha=!0));var i=[],a=[],o=[],s=0,c=0,f=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]],h=t.position||t.positions;if(h){var p=t.color||t.colors||[0,0,0,1],v=t.lineWidth||1,g=!1;t:for(e=1;e0){for(var w=0;w<24;++w)i.push(i[i.length-12]);c+=2,g=!0}continue t}f[0][r]=Math.min(f[0][r],b[r],_[r]),f[1][r]=Math.max(f[1][r],b[r],_[r])}Array.isArray(p[0])?(y=p.length>e-1?p[e-1]:p.length>0?p[p.length-1]:[0,0,0,1],m=p.length>e?p[e]:p.length>0?p[p.length-1]:[0,0,0,1]):y=m=p,3===y.length&&(y=[y[0],y[1],y[2],1]),3===m.length&&(m=[m[0],m[1],m[2],1]),!this.hasAlpha&&y[3]<1&&(this.hasAlpha=!0),x=Array.isArray(v)?v.length>e-1?v[e-1]:v.length>0?v[v.length-1]:[0,0,0,1]:v;var T=s;if(s+=d(b,_),g){for(r=0;r<2;++r)i.push(b[0],b[1],b[2],_[0],_[1],_[2],T,x,y[0],y[1],y[2],y[3]);c+=2,g=!1}i.push(b[0],b[1],b[2],_[0],_[1],_[2],T,x,y[0],y[1],y[2],y[3],b[0],b[1],b[2],_[0],_[1],_[2],T,-x,y[0],y[1],y[2],y[3],_[0],_[1],_[2],b[0],b[1],b[2],s,-x,m[0],m[1],m[2],m[3],_[0],_[1],_[2],b[0],b[1],b[2],s,x,m[0],m[1],m[2],m[3]),c+=4}}if(this.buffer.update(i),a.push(s),o.push(h[h.length-1].slice()),this.bounds=f,this.vertexCount=c,this.points=o,this.arcLength=a,"dashes"in t){var k=t.dashes.slice();for(k.unshift(0),e=1;e1.0001)return null;y+=g[f]}return Math.abs(y-1)>.001?null:[h,s(t,g),g]}},2056:function(t,e,r){var n=r(6832),i=n(["precision highp float;\n#define GLSLIFY 1\n\nattribute vec3 position, normal;\nattribute vec4 color;\nattribute vec2 uv;\n\nuniform mat4 model\n , view\n , projection\n , inverseModel;\nuniform vec3 eyePosition\n , lightPosition;\n\nvarying vec3 f_normal\n , f_lightDirection\n , f_eyeDirection\n , f_data;\nvarying vec4 f_color;\nvarying vec2 f_uv;\n\nvec4 project(vec3 p) {\n return projection * view * model * vec4(p, 1.0);\n}\n\nvoid main() {\n gl_Position = project(position);\n\n //Lighting geometry parameters\n vec4 cameraCoordinate = view * vec4(position , 1.0);\n cameraCoordinate.xyz /= cameraCoordinate.w;\n f_lightDirection = lightPosition - cameraCoordinate.xyz;\n f_eyeDirection = eyePosition - cameraCoordinate.xyz;\n f_normal = normalize((vec4(normal, 0.0) * inverseModel).xyz);\n\n f_color = color;\n f_data = position;\n f_uv = uv;\n}\n"]),a=n(["#extension GL_OES_standard_derivatives : enable\n\nprecision highp float;\n#define GLSLIFY 1\n\nfloat beckmannDistribution(float x, float roughness) {\n float NdotH = max(x, 0.0001);\n float cos2Alpha = NdotH * NdotH;\n float tan2Alpha = (cos2Alpha - 1.0) / cos2Alpha;\n float roughness2 = roughness * roughness;\n float denom = 3.141592653589793 * roughness2 * cos2Alpha * cos2Alpha;\n return exp(tan2Alpha / roughness2) / denom;\n}\n\nfloat cookTorranceSpecular(\n vec3 lightDirection,\n vec3 viewDirection,\n vec3 surfaceNormal,\n float roughness,\n float fresnel) {\n\n float VdotN = max(dot(viewDirection, surfaceNormal), 0.0);\n float LdotN = max(dot(lightDirection, surfaceNormal), 0.0);\n\n //Half angle vector\n vec3 H = normalize(lightDirection + viewDirection);\n\n //Geometric term\n float NdotH = max(dot(surfaceNormal, H), 0.0);\n float VdotH = max(dot(viewDirection, H), 0.000001);\n float LdotH = max(dot(lightDirection, H), 0.000001);\n float G1 = (2.0 * NdotH * VdotN) / VdotH;\n float G2 = (2.0 * NdotH * LdotN) / LdotH;\n float G = min(1.0, min(G1, G2));\n \n //Distribution term\n float D = beckmannDistribution(NdotH, roughness);\n\n //Fresnel term\n float F = pow(1.0 - VdotN, fresnel);\n\n //Multiply terms and done\n return G * F * D / max(3.14159265 * VdotN, 0.000001);\n}\n\n//#pragma glslify: beckmann = require(glsl-specular-beckmann) // used in gl-surface3d\n\nbool outOfRange(float a, float b, float p) {\n return ((p > max(a, b)) || \n (p < min(a, b)));\n}\n\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\n return (outOfRange(a.x, b.x, p.x) ||\n outOfRange(a.y, b.y, p.y));\n}\n\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\n return (outOfRange(a.x, b.x, p.x) ||\n outOfRange(a.y, b.y, p.y) ||\n outOfRange(a.z, b.z, p.z));\n}\n\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\n return outOfRange(a.xyz, b.xyz, p.xyz);\n}\n\nuniform vec3 clipBounds[2];\nuniform float roughness\n , fresnel\n , kambient\n , kdiffuse\n , kspecular;\nuniform sampler2D texture;\n\nvarying vec3 f_normal\n , f_lightDirection\n , f_eyeDirection\n , f_data;\nvarying vec4 f_color;\nvarying vec2 f_uv;\n\nvoid main() {\n if (f_color.a == 0.0 ||\n outOfRange(clipBounds[0], clipBounds[1], f_data)\n ) discard;\n\n vec3 N = normalize(f_normal);\n vec3 L = normalize(f_lightDirection);\n vec3 V = normalize(f_eyeDirection);\n\n if(gl_FrontFacing) {\n N = -N;\n }\n\n float specular = min(1.0, max(0.0, cookTorranceSpecular(L, V, N, roughness, fresnel)));\n //float specular = max(0.0, beckmann(L, V, N, roughness)); // used in gl-surface3d\n\n float diffuse = min(kambient + kdiffuse * max(dot(N, L), 0.0), 1.0);\n\n vec4 surfaceColor = vec4(f_color.rgb, 1.0) * texture2D(texture, f_uv);\n vec4 litColor = surfaceColor.a * vec4(diffuse * surfaceColor.rgb + kspecular * vec3(1,1,1) * specular, 1.0);\n\n gl_FragColor = litColor * f_color.a;\n}\n"]),o=n(["precision highp float;\n#define GLSLIFY 1\n\nattribute vec3 position;\nattribute vec4 color;\nattribute vec2 uv;\n\nuniform mat4 model, view, projection;\n\nvarying vec4 f_color;\nvarying vec3 f_data;\nvarying vec2 f_uv;\n\nvoid main() {\n gl_Position = projection * view * model * vec4(position, 1.0);\n f_color = color;\n f_data = position;\n f_uv = uv;\n}"]),s=n(["precision highp float;\n#define GLSLIFY 1\n\nbool outOfRange(float a, float b, float p) {\n return ((p > max(a, b)) || \n (p < min(a, b)));\n}\n\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\n return (outOfRange(a.x, b.x, p.x) ||\n outOfRange(a.y, b.y, p.y));\n}\n\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\n return (outOfRange(a.x, b.x, p.x) ||\n outOfRange(a.y, b.y, p.y) ||\n outOfRange(a.z, b.z, p.z));\n}\n\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\n return outOfRange(a.xyz, b.xyz, p.xyz);\n}\n\nuniform vec3 clipBounds[2];\nuniform sampler2D texture;\nuniform float opacity;\n\nvarying vec4 f_color;\nvarying vec3 f_data;\nvarying vec2 f_uv;\n\nvoid main() {\n if (outOfRange(clipBounds[0], clipBounds[1], f_data)) discard;\n\n gl_FragColor = f_color * texture2D(texture, f_uv) * opacity;\n}"]),l=n(["precision highp float;\n#define GLSLIFY 1\n\nbool outOfRange(float a, float b, float p) {\n return ((p > max(a, b)) || \n (p < min(a, b)));\n}\n\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\n return (outOfRange(a.x, b.x, p.x) ||\n outOfRange(a.y, b.y, p.y));\n}\n\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\n return (outOfRange(a.x, b.x, p.x) ||\n outOfRange(a.y, b.y, p.y) ||\n outOfRange(a.z, b.z, p.z));\n}\n\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\n return outOfRange(a.xyz, b.xyz, p.xyz);\n}\n\nattribute vec3 position;\nattribute vec4 color;\nattribute vec2 uv;\nattribute float pointSize;\n\nuniform mat4 model, view, projection;\nuniform vec3 clipBounds[2];\n\nvarying vec4 f_color;\nvarying vec2 f_uv;\n\nvoid main() {\n if (outOfRange(clipBounds[0], clipBounds[1], position)) {\n\n gl_Position = vec4(0.0, 0.0 ,0.0 ,0.0);\n } else {\n gl_Position = projection * view * model * vec4(position, 1.0);\n }\n gl_PointSize = pointSize;\n f_color = color;\n f_uv = uv;\n}"]),u=n(["precision highp float;\n#define GLSLIFY 1\n\nuniform sampler2D texture;\nuniform float opacity;\n\nvarying vec4 f_color;\nvarying vec2 f_uv;\n\nvoid main() {\n vec2 pointR = gl_PointCoord.xy - vec2(0.5, 0.5);\n if(dot(pointR, pointR) > 0.25) {\n discard;\n }\n gl_FragColor = f_color * texture2D(texture, f_uv) * opacity;\n}"]),c=n(["precision highp float;\n#define GLSLIFY 1\n\nattribute vec3 position;\nattribute vec4 id;\n\nuniform mat4 model, view, projection;\n\nvarying vec3 f_position;\nvarying vec4 f_id;\n\nvoid main() {\n gl_Position = projection * view * model * vec4(position, 1.0);\n f_id = id;\n f_position = position;\n}"]),f=n(["precision highp float;\n#define GLSLIFY 1\n\nbool outOfRange(float a, float b, float p) {\n return ((p > max(a, b)) || \n (p < min(a, b)));\n}\n\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\n return (outOfRange(a.x, b.x, p.x) ||\n outOfRange(a.y, b.y, p.y));\n}\n\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\n return (outOfRange(a.x, b.x, p.x) ||\n outOfRange(a.y, b.y, p.y) ||\n outOfRange(a.z, b.z, p.z));\n}\n\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\n return outOfRange(a.xyz, b.xyz, p.xyz);\n}\n\nuniform vec3 clipBounds[2];\nuniform float pickId;\n\nvarying vec3 f_position;\nvarying vec4 f_id;\n\nvoid main() {\n if (outOfRange(clipBounds[0], clipBounds[1], f_position)) discard;\n\n gl_FragColor = vec4(pickId, f_id.xyz);\n}"]),h=n(["precision highp float;\n#define GLSLIFY 1\n\nbool outOfRange(float a, float b, float p) {\n return ((p > max(a, b)) || \n (p < min(a, b)));\n}\n\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\n return (outOfRange(a.x, b.x, p.x) ||\n outOfRange(a.y, b.y, p.y));\n}\n\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\n return (outOfRange(a.x, b.x, p.x) ||\n outOfRange(a.y, b.y, p.y) ||\n outOfRange(a.z, b.z, p.z));\n}\n\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\n return outOfRange(a.xyz, b.xyz, p.xyz);\n}\n\nattribute vec3 position;\nattribute float pointSize;\nattribute vec4 id;\n\nuniform mat4 model, view, projection;\nuniform vec3 clipBounds[2];\n\nvarying vec3 f_position;\nvarying vec4 f_id;\n\nvoid main() {\n if (outOfRange(clipBounds[0], clipBounds[1], position)) {\n\n gl_Position = vec4(0.0, 0.0, 0.0, 0.0);\n } else {\n gl_Position = projection * view * model * vec4(position, 1.0);\n gl_PointSize = pointSize;\n }\n f_id = id;\n f_position = position;\n}"]),p=n(["precision highp float;\n#define GLSLIFY 1\n\nattribute vec3 position;\n\nuniform mat4 model, view, projection;\n\nvoid main() {\n gl_Position = projection * view * model * vec4(position, 1.0);\n}"]),d=n(["precision highp float;\n#define GLSLIFY 1\n\nuniform vec3 contourColor;\n\nvoid main() {\n gl_FragColor = vec4(contourColor, 1.0);\n}\n"]);e.meshShader={vertex:i,fragment:a,attributes:[{name:"position",type:"vec3"},{name:"normal",type:"vec3"},{name:"color",type:"vec4"},{name:"uv",type:"vec2"}]},e.wireShader={vertex:o,fragment:s,attributes:[{name:"position",type:"vec3"},{name:"color",type:"vec4"},{name:"uv",type:"vec2"}]},e.pointShader={vertex:l,fragment:u,attributes:[{name:"position",type:"vec3"},{name:"color",type:"vec4"},{name:"uv",type:"vec2"},{name:"pointSize",type:"float"}]},e.pickShader={vertex:c,fragment:f,attributes:[{name:"position",type:"vec3"},{name:"id",type:"vec4"}]},e.pointPickShader={vertex:h,fragment:f,attributes:[{name:"position",type:"vec3"},{name:"pointSize",type:"float"},{name:"id",type:"vec4"}]},e.contourShader={vertex:p,fragment:d,attributes:[{name:"position",type:"vec3"}]}},8116:function(t,e,r){"use strict";var n=r(5158),i=r(5827),a=r(2944),o=r(8931),s=r(115),l=r(104),u=r(7437),c=r(5050),f=r(9156),h=r(7212),p=r(5306),d=r(2056),v=r(4340),g=d.meshShader,y=d.wireShader,m=d.pointShader,x=d.pickShader,b=d.pointPickShader,_=d.contourShader,w=[1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1];function T(t,e,r,n,i,a,o,s,l,u,c,f,h,p,d,v,g,y,m,x,b,_,T,k,A,M,S){this.gl=t,this.pixelRatio=1,this.cells=[],this.positions=[],this.intensity=[],this.texture=e,this.dirty=!0,this.triShader=r,this.lineShader=n,this.pointShader=i,this.pickShader=a,this.pointPickShader=o,this.contourShader=s,this.trianglePositions=l,this.triangleColors=c,this.triangleNormals=h,this.triangleUVs=f,this.triangleIds=u,this.triangleVAO=p,this.triangleCount=0,this.lineWidth=1,this.edgePositions=d,this.edgeColors=g,this.edgeUVs=y,this.edgeIds=v,this.edgeVAO=m,this.edgeCount=0,this.pointPositions=x,this.pointColors=_,this.pointUVs=T,this.pointSizes=k,this.pointIds=b,this.pointVAO=A,this.pointCount=0,this.contourLineWidth=1,this.contourPositions=M,this.contourVAO=S,this.contourCount=0,this.contourColor=[0,0,0],this.contourEnable=!0,this.pickVertex=!0,this.pickId=1,this.bounds=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]],this.clipBounds=[[-1/0,-1/0,-1/0],[1/0,1/0,1/0]],this.lightPosition=[1e5,1e5,0],this.ambientLight=.8,this.diffuseLight=.8,this.specularLight=2,this.roughness=.5,this.fresnel=1.5,this.opacity=1,this.hasAlpha=!1,this.opacityscale=!1,this._model=w,this._view=w,this._projection=w,this._resolution=[1,1]}var k=T.prototype;function A(t,e){if(!e)return 1;if(!e.length)return 1;for(var r=0;rt&&r>0){var n=(e[r][0]-t)/(e[r][0]-e[r-1][0]);return e[r][1]*(1-n)+n*e[r-1][1]}}return 1}function M(t){var e=n(t,m.vertex,m.fragment);return e.attributes.position.location=0,e.attributes.color.location=2,e.attributes.uv.location=3,e.attributes.pointSize.location=4,e}function S(t){var e=n(t,x.vertex,x.fragment);return e.attributes.position.location=0,e.attributes.id.location=1,e}function E(t){var e=n(t,b.vertex,b.fragment);return e.attributes.position.location=0,e.attributes.id.location=1,e.attributes.pointSize.location=4,e}function L(t){var e=n(t,_.vertex,_.fragment);return e.attributes.position.location=0,e}k.isOpaque=function(){return!this.hasAlpha},k.isTransparent=function(){return this.hasAlpha},k.pickSlots=1,k.setPickBase=function(t){this.pickId=t},k.highlight=function(t){if(t&&this.contourEnable){for(var e=h(this.cells,this.intensity,t.intensity),r=e.cells,n=e.vertexIds,i=e.vertexWeights,a=r.length,o=p.mallocFloat32(6*a),s=0,l=0;l0&&((f=this.triShader).bind(),f.uniforms=s,this.triangleVAO.bind(),e.drawArrays(e.TRIANGLES,0,3*this.triangleCount),this.triangleVAO.unbind()),this.edgeCount>0&&this.lineWidth>0&&((f=this.lineShader).bind(),f.uniforms=s,this.edgeVAO.bind(),e.lineWidth(this.lineWidth*this.pixelRatio),e.drawArrays(e.LINES,0,2*this.edgeCount),this.edgeVAO.unbind()),this.pointCount>0&&((f=this.pointShader).bind(),f.uniforms=s,this.pointVAO.bind(),e.drawArrays(e.POINTS,0,this.pointCount),this.pointVAO.unbind()),this.contourEnable&&this.contourCount>0&&this.contourLineWidth>0&&((f=this.contourShader).bind(),f.uniforms=s,this.contourVAO.bind(),e.drawArrays(e.LINES,0,this.contourCount),this.contourVAO.unbind())},k.drawPick=function(t){t=t||{};for(var e=this.gl,r=t.model||w,n=t.view||w,i=t.projection||w,a=[[-1e6,-1e6,-1e6],[1e6,1e6,1e6]],o=0;o<3;++o)a[0][o]=Math.max(a[0][o],this.clipBounds[0][o]),a[1][o]=Math.min(a[1][o],this.clipBounds[1][o]);this._model=[].slice.call(r),this._view=[].slice.call(n),this._projection=[].slice.call(i),this._resolution=[e.drawingBufferWidth,e.drawingBufferHeight];var s,l={model:r,view:n,projection:i,clipBounds:a,pickId:this.pickId/255};(s=this.pickShader).bind(),s.uniforms=l,this.triangleCount>0&&(this.triangleVAO.bind(),e.drawArrays(e.TRIANGLES,0,3*this.triangleCount),this.triangleVAO.unbind()),this.edgeCount>0&&(this.edgeVAO.bind(),e.lineWidth(this.lineWidth*this.pixelRatio),e.drawArrays(e.LINES,0,2*this.edgeCount),this.edgeVAO.unbind()),this.pointCount>0&&((s=this.pointPickShader).bind(),s.uniforms=l,this.pointVAO.bind(),e.drawArrays(e.POINTS,0,this.pointCount),this.pointVAO.unbind())},k.pick=function(t){if(!t)return null;if(t.id!==this.pickId)return null;for(var e=t.value[0]+256*t.value[1]+65536*t.value[2],r=this.cells[e],n=this.positions,i=new Array(r.length),a=0;ai[k]&&(r.uniforms.dataAxis=u,r.uniforms.screenOffset=c,r.uniforms.color=g[t],r.uniforms.angle=y[t],a.drawArrays(a.TRIANGLES,i[k],i[A]-i[k]))),m[t]&&T&&(c[1^t]-=M*p*x[t],r.uniforms.dataAxis=f,r.uniforms.screenOffset=c,r.uniforms.color=b[t],r.uniforms.angle=_[t],a.drawArrays(a.TRIANGLES,w,T)),c[1^t]=M*s[2+(1^t)]-1,d[t+2]&&(c[1^t]+=M*p*v[t+2],ki[k]&&(r.uniforms.dataAxis=u,r.uniforms.screenOffset=c,r.uniforms.color=g[t+2],r.uniforms.angle=y[t+2],a.drawArrays(a.TRIANGLES,i[k],i[A]-i[k]))),m[t+2]&&T&&(c[1^t]+=M*p*x[t+2],r.uniforms.dataAxis=f,r.uniforms.screenOffset=c,r.uniforms.color=b[t+2],r.uniforms.angle=_[t+2],a.drawArrays(a.TRIANGLES,w,T))}),v.drawTitle=function(){var t=[0,0],e=[0,0];return function(){var r=this.plot,n=this.shader,i=r.gl,a=r.screenBox,o=r.titleCenter,s=r.titleAngle,l=r.titleColor,u=r.pixelRatio;if(this.titleCount){for(var c=0;c<2;++c)e[c]=2*(o[c]*u-a[c])/(a[2+c]-a[c])-1;n.bind(),n.uniforms.dataAxis=t,n.uniforms.screenOffset=e,n.uniforms.angle=s,n.uniforms.color=l,i.drawArrays(i.TRIANGLES,this.titleOffset,this.titleCount)}}}(),v.bind=(h=[0,0],p=[0,0],d=[0,0],function(){var t=this.plot,e=this.shader,r=t._tickBounds,n=t.dataBox,i=t.screenBox,a=t.viewBox;e.bind();for(var o=0;o<2;++o){var s=r[o],l=r[o+2]-s,u=.5*(n[o+2]+n[o]),c=n[o+2]-n[o],f=a[o],v=a[o+2]-f,g=i[o],y=i[o+2]-g;p[o]=2*l/c*v/y,h[o]=2*(s-u)/c*v/y}d[1]=2*t.pixelRatio/(i[3]-i[1]),d[0]=d[1]*(i[3]-i[1])/(i[2]-i[0]),e.uniforms.dataScale=p,e.uniforms.dataShift=h,e.uniforms.textScale=d,this.vbo.bind(),e.attributes.textCoordinate.pointer()}),v.update=function(t){var e,r,n,i,o,s=[],l=t.ticks,u=t.bounds;for(o=0;o<2;++o){var c=[Math.floor(s.length/3)],f=[-1/0],h=l[o];for(e=0;e=0){var v=e[d]-n[d]*(e[d+2]-e[d])/(n[d+2]-n[d]);0===d?o.drawLine(v,e[1],v,e[3],p[d],h[d]):o.drawLine(e[0],v,e[2],v,p[d],h[d])}}for(d=0;d=0;--t)this.objects[t].dispose();for(this.objects.length=0,t=this.overlays.length-1;t>=0;--t)this.overlays[t].dispose();this.overlays.length=0,this.gl=null},u.addObject=function(t){this.objects.indexOf(t)<0&&(this.objects.push(t),this.setDirty())},u.removeObject=function(t){for(var e=this.objects,r=0;rMath.abs(e))u.rotate(a,0,0,-t*r*Math.PI*d.rotateSpeed/window.innerWidth);else if(!d._ortho){var o=-d.zoomSpeed*i*e/window.innerHeight*(a-u.lastT())/20;u.pan(a,0,0,f*(Math.exp(o)-1))}}}),!0)},d.enableMouseListeners(),d};var n=r(8161),i=r(1152),a=r(6145),o=r(6475),s=r(2565),l=r(5233)},8245:function(t,e,r){var n=r(6832),i=r(5158),a=n(["precision mediump float;\n#define GLSLIFY 1\nattribute vec2 position;\nvarying vec2 uv;\nvoid main() {\n uv = position;\n gl_Position = vec4(position, 0, 1);\n}"]),o=n(["precision mediump float;\n#define GLSLIFY 1\n\nuniform sampler2D accumBuffer;\nvarying vec2 uv;\n\nvoid main() {\n vec4 accum = texture2D(accumBuffer, 0.5 * (uv + 1.0));\n gl_FragColor = min(vec4(1,1,1,1), accum);\n}"]);t.exports=function(t){return i(t,a,o,null,[{name:"position",type:"vec2"}])}},1059:function(t,e,r){"use strict";var n=r(4296),i=r(7453),a=r(2771),o=r(6496),s=r(2611),l=r(4234),u=r(8126),c=r(6145),f=r(1120),h=r(5268),p=r(8245),d=r(2321)({tablet:!0,featureDetect:!0});function v(){this.mouse=[-1,-1],this.screen=null,this.distance=1/0,this.index=null,this.dataCoordinate=null,this.dataPosition=null,this.object=null,this.data=null}function g(t){var e=Math.round(Math.log(Math.abs(t))/Math.log(10));if(e<0){var r=Math.round(Math.pow(10,-e));return Math.ceil(t*r)/r}return e>0?(r=Math.round(Math.pow(10,e)),Math.ceil(t/r)*r):Math.ceil(t)}function y(t){return"boolean"!=typeof t||t}t.exports={createScene:function(t){(t=t||{}).camera=t.camera||{};var e=t.canvas;e||(e=document.createElement("canvas"),t.container?t.container.appendChild(e):document.body.appendChild(e));var r=t.gl;if(r||(t.glOptions&&(d=!!t.glOptions.preserveDrawingBuffer),r=function(t,e){var r=null;try{(r=t.getContext("webgl",e))||(r=t.getContext("experimental-webgl",e))}catch(t){return null}return r}(e,t.glOptions||{premultipliedAlpha:!0,antialias:!0,preserveDrawingBuffer:d})),!r)throw new Error("webgl not supported");var m=t.bounds||[[-10,-10,-10],[10,10,10]],x=new v,b=l(r,r.drawingBufferWidth,r.drawingBufferHeight,{preferFloat:!d}),_=p(r),w=t.cameraObject&&!0===t.cameraObject._ortho||t.camera.projection&&"orthographic"===t.camera.projection.type||!1,T={eye:t.camera.eye||[2,0,0],center:t.camera.center||[0,0,0],up:t.camera.up||[0,1,0],zoomMin:t.camera.zoomMax||.1,zoomMax:t.camera.zoomMin||100,mode:t.camera.mode||"turntable",_ortho:w},k=t.axes||{},A=i(r,k);A.enable=!k.disable;var M=t.spikes||{},S=o(r,M),E=[],L=[],C=[],P=[],O=!0,I=!0,D={view:null,projection:new Array(16),model:new Array(16),_ortho:!1},z=(I=!0,[r.drawingBufferWidth,r.drawingBufferHeight]),R=t.cameraObject||n(e,T),F={gl:r,contextLost:!1,pixelRatio:t.pixelRatio||1,canvas:e,selection:x,camera:R,axes:A,axesPixels:null,spikes:S,bounds:m,objects:E,shape:z,aspect:t.aspectRatio||[1,1,1],pickRadius:t.pickRadius||10,zNear:t.zNear||.01,zFar:t.zFar||1e3,fovy:t.fovy||Math.PI/4,clearColor:t.clearColor||[0,0,0,0],autoResize:y(t.autoResize),autoBounds:y(t.autoBounds),autoScale:!!t.autoScale,autoCenter:y(t.autoCenter),clipToBounds:y(t.clipToBounds),snapToData:!!t.snapToData,onselect:t.onselect||null,onrender:t.onrender||null,onclick:t.onclick||null,cameraParams:D,oncontextloss:null,mouseListener:null,_stopped:!1,getAspectratio:function(){return{x:this.aspect[0],y:this.aspect[1],z:this.aspect[2]}},setAspectratio:function(t){this.aspect[0]=t.x,this.aspect[1]=t.y,this.aspect[2]=t.z,I=!0},setBounds:function(t,e){this.bounds[0][t]=e.min,this.bounds[1][t]=e.max},setClearColor:function(t){this.clearColor=t},clearRGBA:function(){this.gl.clearColor(this.clearColor[0],this.clearColor[1],this.clearColor[2],this.clearColor[3]),this.gl.clear(this.gl.COLOR_BUFFER_BIT|this.gl.DEPTH_BUFFER_BIT)}},B=[r.drawingBufferWidth/F.pixelRatio|0,r.drawingBufferHeight/F.pixelRatio|0];function N(){if(!F._stopped&&F.autoResize){var t=e.parentNode,r=1,n=1;t&&t!==document.body?(r=t.clientWidth,n=t.clientHeight):(r=window.innerWidth,n=window.innerHeight);var i=0|Math.ceil(r*F.pixelRatio),a=0|Math.ceil(n*F.pixelRatio);if(i!==e.width||a!==e.height){e.width=i,e.height=a;var o=e.style;o.position=o.position||"absolute",o.left="0px",o.top="0px",o.width=r+"px",o.height=n+"px",O=!0}}}function j(){for(var t=E.length,e=P.length,n=0;n0&&0===C[e-1];)C.pop(),P.pop().dispose()}function U(){if(F.contextLost)return!0;r.isContextLost()&&(F.contextLost=!0,F.mouseListener.enabled=!1,F.selection.object=null,F.oncontextloss&&F.oncontextloss())}F.autoResize&&N(),window.addEventListener("resize",N),F.update=function(t){F._stopped||(t=t||{},O=!0,I=!0)},F.add=function(t){F._stopped||(t.axes=A,E.push(t),L.push(-1),O=!0,I=!0,j())},F.remove=function(t){if(!F._stopped){var e=E.indexOf(t);e<0||(E.splice(e,1),L.pop(),O=!0,I=!0,j())}},F.dispose=function(){if(!F._stopped&&(F._stopped=!0,window.removeEventListener("resize",N),e.removeEventListener("webglcontextlost",U),F.mouseListener.enabled=!1,!F.contextLost)){A.dispose(),S.dispose();for(var t=0;tx.distance)continue;for(var u=0;u 1.0) {\n discard;\n }\n baseColor = mix(borderColor, color, step(radius, centerFraction));\n gl_FragColor = vec4(baseColor.rgb * baseColor.a, baseColor.a);\n }\n}\n"]),e.pickVertex=n(["precision mediump float;\n#define GLSLIFY 1\n\nattribute vec2 position;\nattribute vec4 pickId;\n\nuniform mat3 matrix;\nuniform float pointSize;\nuniform vec4 pickOffset;\n\nvarying vec4 fragId;\n\nvoid main() {\n vec3 hgPosition = matrix * vec3(position, 1);\n gl_Position = vec4(hgPosition.xy, 0, hgPosition.z);\n gl_PointSize = pointSize;\n\n vec4 id = pickId + pickOffset;\n id.y += floor(id.x / 256.0);\n id.x -= floor(id.x / 256.0) * 256.0;\n\n id.z += floor(id.y / 256.0);\n id.y -= floor(id.y / 256.0) * 256.0;\n\n id.w += floor(id.z / 256.0);\n id.z -= floor(id.z / 256.0) * 256.0;\n\n fragId = id;\n}\n"]),e.pickFragment=n(["precision mediump float;\n#define GLSLIFY 1\n\nvarying vec4 fragId;\n\nvoid main() {\n float radius = length(2.0 * gl_PointCoord.xy - 1.0);\n if(radius > 1.0) {\n discard;\n }\n gl_FragColor = fragId / 255.0;\n}\n"])},8271:function(t,e,r){"use strict";var n=r(5158),i=r(5827),a=r(5306),o=r(8023);function s(t,e,r,n,i){this.plot=t,this.offsetBuffer=e,this.pickBuffer=r,this.shader=n,this.pickShader=i,this.sizeMin=.5,this.sizeMinCap=2,this.sizeMax=20,this.areaRatio=1,this.pointCount=0,this.color=[1,0,0,1],this.borderColor=[0,0,0,1],this.blend=!1,this.pickOffset=0,this.points=null}t.exports=function(t,e){var r=t.gl,a=new s(t,i(r),i(r),n(r,o.pointVertex,o.pointFragment),n(r,o.pickVertex,o.pickFragment));return a.update(e),t.addObject(a),a};var l,u,c=s.prototype;c.dispose=function(){this.shader.dispose(),this.pickShader.dispose(),this.offsetBuffer.dispose(),this.pickBuffer.dispose(),this.plot.removeObject(this)},c.update=function(t){var e;function r(e,r){return e in t?t[e]:r}t=t||{},this.sizeMin=r("sizeMin",.5),this.sizeMax=r("sizeMax",20),this.color=r("color",[1,0,0,1]).slice(),this.areaRatio=r("areaRatio",1),this.borderColor=r("borderColor",[0,0,0,1]).slice(),this.blend=r("blend",!1);var n=t.positions.length>>>1,i=t.positions instanceof Float32Array,o=t.idToIndex instanceof Int32Array&&t.idToIndex.length>=n,s=t.positions,l=i?s:a.mallocFloat32(s.length),u=o?t.idToIndex:a.mallocInt32(n);if(i||l.set(s),!o)for(l.set(s),e=0;e>>1;for(r=0;r=e[0]&&a<=e[2]&&o>=e[1]&&o<=e[3]&&n++}return n}(this.points,i),c=this.plot.pickPixelRatio*Math.max(Math.min(this.sizeMinCap,this.sizeMin),Math.min(this.sizeMax,this.sizeMax/Math.pow(s,.33333)));l[0]=2/a,l[4]=2/o,l[6]=-2*i[0]/a-1,l[7]=-2*i[1]/o-1,this.offsetBuffer.bind(),r.bind(),r.attributes.position.pointer(),r.uniforms.matrix=l,r.uniforms.color=this.color,r.uniforms.borderColor=this.borderColor,r.uniforms.pointCloud=c<5,r.uniforms.pointSize=c,r.uniforms.centerFraction=Math.min(1,Math.max(0,Math.sqrt(1-this.areaRatio))),e&&(u[0]=255&t,u[1]=t>>8&255,u[2]=t>>16&255,u[3]=t>>24&255,this.pickBuffer.bind(),r.attributes.pickId.pointer(n.UNSIGNED_BYTE),r.uniforms.pickOffset=u,this.pickOffset=t);var f=n.getParameter(n.BLEND),h=n.getParameter(n.DITHER);return f&&!this.blend&&n.disable(n.BLEND),h&&n.disable(n.DITHER),n.drawArrays(n.POINTS,0,this.pointCount),f&&!this.blend&&n.enable(n.BLEND),h&&n.enable(n.DITHER),t+this.pointCount}),c.draw=c.unifiedDraw,c.drawPick=c.unifiedDraw,c.pick=function(t,e,r){var n=this.pickOffset,i=this.pointCount;if(r=n+i)return null;var a=r-n,o=this.points;return{object:this,pointId:a,dataCoord:[o[2*a],o[2*a+1]]}}},6093:function(t){t.exports=function(t,e,r,n){var i,a,o,s,l,u=e[0],c=e[1],f=e[2],h=e[3],p=r[0],d=r[1],v=r[2],g=r[3];return(a=u*p+c*d+f*v+h*g)<0&&(a=-a,p=-p,d=-d,v=-v,g=-g),1-a>1e-6?(i=Math.acos(a),o=Math.sin(i),s=Math.sin((1-n)*i)/o,l=Math.sin(n*i)/o):(s=1-n,l=n),t[0]=s*u+l*p,t[1]=s*c+l*d,t[2]=s*f+l*v,t[3]=s*h+l*g,t}},8240:function(t){"use strict";t.exports=function(t){return t||0===t?t.toString():""}},4123:function(t,e,r){"use strict";var n=r(875);t.exports=function(t,e,r){var a=i[e];if(a||(a=i[e]={}),t in a)return a[t];var o={textAlign:"center",textBaseline:"middle",lineHeight:1,font:e,lineSpacing:1.25,styletags:{breaklines:!0,bolds:!0,italics:!0,subscripts:!0,superscripts:!0},triangles:!0},s=n(t,o);o.triangles=!1;var l,u,c=n(t,o);if(r&&1!==r){for(l=0;l max(a, b)) || \n (p < min(a, b)));\n}\n\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\n return (outOfRange(a.x, b.x, p.x) ||\n outOfRange(a.y, b.y, p.y));\n}\n\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\n return (outOfRange(a.x, b.x, p.x) ||\n outOfRange(a.y, b.y, p.y) ||\n outOfRange(a.z, b.z, p.z));\n}\n\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\n return outOfRange(a.xyz, b.xyz, p.xyz);\n}\n\nattribute vec3 position;\nattribute vec4 color;\nattribute vec2 glyph;\nattribute vec4 id;\n\nuniform vec4 highlightId;\nuniform float highlightScale;\nuniform mat4 model, view, projection;\nuniform vec3 clipBounds[2];\n\nvarying vec4 interpColor;\nvarying vec4 pickId;\nvarying vec3 dataCoordinate;\n\nvoid main() {\n if (outOfRange(clipBounds[0], clipBounds[1], position)) {\n\n gl_Position = vec4(0,0,0,0);\n } else {\n float scale = 1.0;\n if(distance(highlightId, id) < 0.0001) {\n scale = highlightScale;\n }\n\n vec4 worldPosition = model * vec4(position, 1);\n vec4 viewPosition = view * worldPosition;\n viewPosition = viewPosition / viewPosition.w;\n vec4 clipPosition = projection * (viewPosition + scale * vec4(glyph.x, -glyph.y, 0, 0));\n\n gl_Position = clipPosition;\n interpColor = color;\n pickId = id;\n dataCoordinate = position;\n }\n}"]),o=i(["precision highp float;\n#define GLSLIFY 1\n\nbool outOfRange(float a, float b, float p) {\n return ((p > max(a, b)) || \n (p < min(a, b)));\n}\n\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\n return (outOfRange(a.x, b.x, p.x) ||\n outOfRange(a.y, b.y, p.y));\n}\n\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\n return (outOfRange(a.x, b.x, p.x) ||\n outOfRange(a.y, b.y, p.y) ||\n outOfRange(a.z, b.z, p.z));\n}\n\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\n return outOfRange(a.xyz, b.xyz, p.xyz);\n}\n\nattribute vec3 position;\nattribute vec4 color;\nattribute vec2 glyph;\nattribute vec4 id;\n\nuniform mat4 model, view, projection;\nuniform vec2 screenSize;\nuniform vec3 clipBounds[2];\nuniform float highlightScale, pixelRatio;\nuniform vec4 highlightId;\n\nvarying vec4 interpColor;\nvarying vec4 pickId;\nvarying vec3 dataCoordinate;\n\nvoid main() {\n if (outOfRange(clipBounds[0], clipBounds[1], position)) {\n\n gl_Position = vec4(0,0,0,0);\n } else {\n float scale = pixelRatio;\n if(distance(highlightId.bgr, id.bgr) < 0.001) {\n scale *= highlightScale;\n }\n\n vec4 worldPosition = model * vec4(position, 1.0);\n vec4 viewPosition = view * worldPosition;\n vec4 clipPosition = projection * viewPosition;\n clipPosition /= clipPosition.w;\n\n gl_Position = clipPosition + vec4(screenSize * scale * vec2(glyph.x, -glyph.y), 0.0, 0.0);\n interpColor = color;\n pickId = id;\n dataCoordinate = position;\n }\n}"]),s=i(["precision highp float;\n#define GLSLIFY 1\n\nbool outOfRange(float a, float b, float p) {\n return ((p > max(a, b)) || \n (p < min(a, b)));\n}\n\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\n return (outOfRange(a.x, b.x, p.x) ||\n outOfRange(a.y, b.y, p.y));\n}\n\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\n return (outOfRange(a.x, b.x, p.x) ||\n outOfRange(a.y, b.y, p.y) ||\n outOfRange(a.z, b.z, p.z));\n}\n\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\n return outOfRange(a.xyz, b.xyz, p.xyz);\n}\n\nattribute vec3 position;\nattribute vec4 color;\nattribute vec2 glyph;\nattribute vec4 id;\n\nuniform float highlightScale;\nuniform vec4 highlightId;\nuniform vec3 axes[2];\nuniform mat4 model, view, projection;\nuniform vec2 screenSize;\nuniform vec3 clipBounds[2];\nuniform float scale, pixelRatio;\n\nvarying vec4 interpColor;\nvarying vec4 pickId;\nvarying vec3 dataCoordinate;\n\nvoid main() {\n if (outOfRange(clipBounds[0], clipBounds[1], position)) {\n\n gl_Position = vec4(0,0,0,0);\n } else {\n float lscale = pixelRatio * scale;\n if(distance(highlightId, id) < 0.0001) {\n lscale *= highlightScale;\n }\n\n vec4 clipCenter = projection * view * model * vec4(position, 1);\n vec3 dataPosition = position + 0.5*lscale*(axes[0] * glyph.x + axes[1] * glyph.y) * clipCenter.w * screenSize.y;\n vec4 clipPosition = projection * view * model * vec4(dataPosition, 1);\n\n gl_Position = clipPosition;\n interpColor = color;\n pickId = id;\n dataCoordinate = dataPosition;\n }\n}\n"]),l=i(["precision highp float;\n#define GLSLIFY 1\n\nbool outOfRange(float a, float b, float p) {\n return ((p > max(a, b)) || \n (p < min(a, b)));\n}\n\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\n return (outOfRange(a.x, b.x, p.x) ||\n outOfRange(a.y, b.y, p.y));\n}\n\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\n return (outOfRange(a.x, b.x, p.x) ||\n outOfRange(a.y, b.y, p.y) ||\n outOfRange(a.z, b.z, p.z));\n}\n\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\n return outOfRange(a.xyz, b.xyz, p.xyz);\n}\n\nuniform vec3 fragClipBounds[2];\nuniform float opacity;\n\nvarying vec4 interpColor;\nvarying vec3 dataCoordinate;\n\nvoid main() {\n if (\n outOfRange(fragClipBounds[0], fragClipBounds[1], dataCoordinate) ||\n interpColor.a * opacity == 0.\n ) discard;\n gl_FragColor = interpColor * opacity;\n}\n"]),u=i(["precision highp float;\n#define GLSLIFY 1\n\nbool outOfRange(float a, float b, float p) {\n return ((p > max(a, b)) || \n (p < min(a, b)));\n}\n\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\n return (outOfRange(a.x, b.x, p.x) ||\n outOfRange(a.y, b.y, p.y));\n}\n\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\n return (outOfRange(a.x, b.x, p.x) ||\n outOfRange(a.y, b.y, p.y) ||\n outOfRange(a.z, b.z, p.z));\n}\n\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\n return outOfRange(a.xyz, b.xyz, p.xyz);\n}\n\nuniform vec3 fragClipBounds[2];\nuniform float pickGroup;\n\nvarying vec4 pickId;\nvarying vec3 dataCoordinate;\n\nvoid main() {\n if (outOfRange(fragClipBounds[0], fragClipBounds[1], dataCoordinate)) discard;\n\n gl_FragColor = vec4(pickGroup, pickId.bgr);\n}"]),c=[{name:"position",type:"vec3"},{name:"color",type:"vec4"},{name:"glyph",type:"vec2"},{name:"id",type:"vec4"}],f={vertex:a,fragment:l,attributes:c},h={vertex:o,fragment:l,attributes:c},p={vertex:s,fragment:l,attributes:c},d={vertex:a,fragment:u,attributes:c},v={vertex:o,fragment:u,attributes:c},g={vertex:s,fragment:u,attributes:c};function y(t,e){var r=n(t,e),i=r.attributes;return i.position.location=0,i.color.location=1,i.glyph.location=2,i.id.location=3,r}e.createPerspective=function(t){return y(t,f)},e.createOrtho=function(t){return y(t,h)},e.createProject=function(t){return y(t,p)},e.createPickPerspective=function(t){return y(t,d)},e.createPickOrtho=function(t){return y(t,v)},e.createPickProject=function(t){return y(t,g)}},2182:function(t,e,r){"use strict";var n=r(3596),i=r(5827),a=r(2944),o=r(5306),s=r(104),l=r(9282),u=r(4123),c=r(8240),f=[1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1];function h(t,e){var r=t[0],n=t[1],i=t[2],a=t[3];return t[0]=e[0]*r+e[4]*n+e[8]*i+e[12]*a,t[1]=e[1]*r+e[5]*n+e[9]*i+e[13]*a,t[2]=e[2]*r+e[6]*n+e[10]*i+e[14]*a,t[3]=e[3]*r+e[7]*n+e[11]*i+e[15]*a,t}function p(t,e,r,n){return h(n,n),h(n,n),h(n,n)}function d(t,e){this.index=t,this.dataCoordinate=this.position=e}function v(t){return!0===t||t>1?1:t}function g(t,e,r,n,i,a,o,s,l,u,c,f){this.gl=t,this.pixelRatio=1,this.shader=e,this.orthoShader=r,this.projectShader=n,this.pointBuffer=i,this.colorBuffer=a,this.glyphBuffer=o,this.idBuffer=s,this.vao=l,this.vertexCount=0,this.lineVertexCount=0,this.opacity=1,this.hasAlpha=!1,this.lineWidth=0,this.projectScale=[2/3,2/3,2/3],this.projectOpacity=[1,1,1],this.projectHasAlpha=!1,this.pickId=0,this.pickPerspectiveShader=u,this.pickOrthoShader=c,this.pickProjectShader=f,this.points=[],this._selectResult=new d(0,[0,0,0]),this.useOrtho=!0,this.bounds=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]],this.axesProject=[!0,!0,!0],this.axesBounds=[[-1/0,-1/0,-1/0],[1/0,1/0,1/0]],this.highlightId=[1,1,1,1],this.highlightScale=2,this.clipBounds=[[-1/0,-1/0,-1/0],[1/0,1/0,1/0]],this.dirty=!0}t.exports=function(t){var e=t.gl,r=l.createPerspective(e),n=l.createOrtho(e),o=l.createProject(e),s=l.createPickPerspective(e),u=l.createPickOrtho(e),c=l.createPickProject(e),f=i(e),h=i(e),p=i(e),d=i(e),v=new g(e,r,n,o,f,h,p,d,a(e,[{buffer:f,size:3,type:e.FLOAT},{buffer:h,size:4,type:e.FLOAT},{buffer:p,size:2,type:e.FLOAT},{buffer:d,size:4,type:e.UNSIGNED_BYTE,normalized:!0}]),s,u,c);return v.update(t),v};var y=g.prototype;y.pickSlots=1,y.setPickBase=function(t){this.pickId=t},y.isTransparent=function(){if(this.hasAlpha)return!0;for(var t=0;t<3;++t)if(this.axesProject[t]&&this.projectHasAlpha)return!0;return!1},y.isOpaque=function(){if(!this.hasAlpha)return!0;for(var t=0;t<3;++t)if(this.axesProject[t]&&!this.projectHasAlpha)return!0;return!1};var m=[0,0],x=[0,0,0],b=[0,0,0],_=[0,0,0,1],w=[0,0,0,1],T=f.slice(),k=[0,0,0],A=[[0,0,0],[0,0,0]];function M(t){return t[0]=t[1]=t[2]=0,t}function S(t,e){return t[0]=e[0],t[1]=e[1],t[2]=e[2],t[3]=1,t}function E(t,e,r,n){return t[0]=e[0],t[1]=e[1],t[2]=e[2],t[r]=n,t}var L=[[-1e8,-1e8,-1e8],[1e8,1e8,1e8]];function C(t,e,r,n,i,a,o){var l=r.gl;if((a===r.projectHasAlpha||o)&&function(t,e,r,n){var i,a=e.axesProject,o=e.gl,l=t.uniforms,u=r.model||f,c=r.view||f,h=r.projection||f,d=e.axesBounds,v=function(t){for(var e=A,r=0;r<2;++r)for(var n=0;n<3;++n)e[r][n]=Math.max(Math.min(t[r][n],1e8),-1e8);return e}(e.clipBounds);i=e.axes&&e.axes.lastCubeProps?e.axes.lastCubeProps.axis:[1,1,1],m[0]=2/o.drawingBufferWidth,m[1]=2/o.drawingBufferHeight,t.bind(),l.view=c,l.projection=h,l.screenSize=m,l.highlightId=e.highlightId,l.highlightScale=e.highlightScale,l.clipBounds=v,l.pickGroup=e.pickId/255,l.pixelRatio=n;for(var g=0;g<3;++g)if(a[g]){l.scale=e.projectScale[g],l.opacity=e.projectOpacity[g];for(var y=T,L=0;L<16;++L)y[L]=0;for(L=0;L<4;++L)y[5*L]=1;y[5*g]=0,i[g]<0?y[12+g]=d[0][g]:y[12+g]=d[1][g],s(y,u,y),l.model=y;var C=(g+1)%3,P=(g+2)%3,O=M(x),I=M(b);O[C]=1,I[P]=1;var D=p(0,0,0,S(_,O)),z=p(0,0,0,S(w,I));if(Math.abs(D[1])>Math.abs(z[1])){var R=D;D=z,z=R,R=O,O=I,I=R;var F=C;C=P,P=F}D[0]<0&&(O[C]=-1),z[1]>0&&(I[P]=-1);var B=0,N=0;for(L=0;L<4;++L)B+=Math.pow(u[4*C+L],2),N+=Math.pow(u[4*P+L],2);O[C]/=Math.sqrt(B),I[P]/=Math.sqrt(N),l.axes[0]=O,l.axes[1]=I,l.fragClipBounds[0]=E(k,v[0],g,-1e8),l.fragClipBounds[1]=E(k,v[1],g,1e8),e.vao.bind(),e.vao.draw(o.TRIANGLES,e.vertexCount),e.lineWidth>0&&(o.lineWidth(e.lineWidth*n),e.vao.draw(o.LINES,e.lineVertexCount,e.vertexCount)),e.vao.unbind()}}(e,r,n,i),a===r.hasAlpha||o){t.bind();var u=t.uniforms;u.model=n.model||f,u.view=n.view||f,u.projection=n.projection||f,m[0]=2/l.drawingBufferWidth,m[1]=2/l.drawingBufferHeight,u.screenSize=m,u.highlightId=r.highlightId,u.highlightScale=r.highlightScale,u.fragClipBounds=L,u.clipBounds=r.axes.bounds,u.opacity=r.opacity,u.pickGroup=r.pickId/255,u.pixelRatio=i,r.vao.bind(),r.vao.draw(l.TRIANGLES,r.vertexCount),r.lineWidth>0&&(l.lineWidth(r.lineWidth*i),r.vao.draw(l.LINES,r.lineVertexCount,r.vertexCount)),r.vao.unbind()}}function P(t,e,r,i){var a;a=Array.isArray(t)?e=this.pointCount||e<0)return null;var r=this.points[e],n=this._selectResult;n.index=e;for(var i=0;i<3;++i)n.position[i]=n.dataCoordinate[i]=r[i];return n},y.highlight=function(t){if(t){var e=t.index,r=255&e,n=e>>8&255,i=e>>16&255;this.highlightId=[r/255,n/255,i/255,0]}else this.highlightId=[1,1,1,1]},y.update=function(t){if("perspective"in(t=t||{})&&(this.useOrtho=!t.perspective),"orthographic"in t&&(this.useOrtho=!!t.orthographic),"lineWidth"in t&&(this.lineWidth=t.lineWidth),"project"in t)if(Array.isArray(t.project))this.axesProject=t.project;else{var e=!!t.project;this.axesProject=[e,e,e]}if("projectScale"in t)if(Array.isArray(t.projectScale))this.projectScale=t.projectScale.slice();else{var r=+t.projectScale;this.projectScale=[r,r,r]}if(this.projectHasAlpha=!1,"projectOpacity"in t){Array.isArray(t.projectOpacity)?this.projectOpacity=t.projectOpacity.slice():(r=+t.projectOpacity,this.projectOpacity=[r,r,r]);for(var n=0;n<3;++n)this.projectOpacity[n]=v(this.projectOpacity[n]),this.projectOpacity[n]<1&&(this.projectHasAlpha=!0)}this.hasAlpha=!1,"opacity"in t&&(this.opacity=v(t.opacity),this.opacity<1&&(this.hasAlpha=!0)),this.dirty=!0;var i,a,s=t.position,l=t.font||"normal",u=t.alignment||[0,0];if(2===u.length)i=u[0],a=u[1];else for(i=[],a=[],n=0;n0){var I=0,D=x,z=[0,0,0,1],R=[0,0,0,1],F=Array.isArray(p)&&Array.isArray(p[0]),B=Array.isArray(y)&&Array.isArray(y[0]);t:for(n=0;n<_;++n){for(m+=1,w=s[n],T=0;T<3;++T){if(isNaN(w[T])||!isFinite(w[T]))continue t;f[T]=Math.max(f[T],w[T]),c[T]=Math.min(c[T],w[T])}k=(N=P(h,n,l,this.pixelRatio)).mesh,A=N.lines,M=N.bounds;var N,j=N.visible;if(j)if(Array.isArray(p)){if(3===(U=F?n0?1-M[0][0]:W<0?1+M[1][0]:1,Y*=Y>0?1-M[0][1]:Y<0?1+M[1][1]:1],Z=k.cells||[],K=k.positions||[];for(T=0;T0){var y=r*c;o.drawBox(f-y,h-y,p+y,h+y,a),o.drawBox(f-y,d-y,p+y,d+y,a),o.drawBox(f-y,h-y,f+y,d+y,a),o.drawBox(p-y,h-y,p+y,d+y,a)}}}},s.update=function(t){t=t||{},this.innerFill=!!t.innerFill,this.outerFill=!!t.outerFill,this.innerColor=(t.innerColor||[0,0,0,.5]).slice(),this.outerColor=(t.outerColor||[0,0,0,.5]).slice(),this.borderColor=(t.borderColor||[0,0,0,1]).slice(),this.borderWidth=t.borderWidth||0,this.selectBox=(t.selectBox||this.selectBox).slice()},s.dispose=function(){this.boxBuffer.dispose(),this.boxShader.dispose(),this.plot.removeOverlay(this)}},2611:function(t,e,r){"use strict";t.exports=function(t,e){var r=e[0],a=e[1];return new l(t,n(t,r,a,{}),i.mallocUint8(r*a*4))};var n=r(4234),i=r(5306),a=r(5050),o=r(2288).nextPow2;function s(t,e,r,n,i){this.coord=[t,e],this.id=r,this.value=n,this.distance=i}function l(t,e,r){this.gl=t,this.fbo=e,this.buffer=r,this._readTimeout=null;var n=this;this._readCallback=function(){n.gl&&(e.bind(),t.readPixels(0,0,e.shape[0],e.shape[1],t.RGBA,t.UNSIGNED_BYTE,n.buffer),n._readTimeout=null)}}var u=l.prototype;Object.defineProperty(u,"shape",{get:function(){return this.gl?this.fbo.shape.slice():[0,0]},set:function(t){if(this.gl){this.fbo.shape=t;var e=this.fbo.shape[0],r=this.fbo.shape[1];if(r*e*4>this.buffer.length){i.free(this.buffer);for(var n=this.buffer=i.mallocUint8(o(r*e*4)),a=0;ar)for(t=r;te)for(t=e;t=0){for(var T=0|w.type.charAt(w.type.length-1),k=new Array(T),A=0;A=0;)M+=1;_[m]=M}var S=new Array(r.length);function E(){h.program=o.program(p,h._vref,h._fref,b,_);for(var t=0;t=0){if((d=h.charCodeAt(h.length-1)-48)<2||d>4)throw new n("","Invalid data type for attribute "+f+": "+h);s(t,e,p[0],i,d,a,f)}else{if(!(h.indexOf("mat")>=0))throw new n("","Unknown data type for attribute "+f+": "+h);var d;if((d=h.charCodeAt(h.length-1)-48)<2||d>4)throw new n("","Invalid data type for attribute "+f+": "+h);l(t,e,p,i,d,a,f)}}}return a};var n=r(9068);function i(t,e,r,n,i,a){this._gl=t,this._wrapper=e,this._index=r,this._locations=n,this._dimension=i,this._constFunc=a}var a=i.prototype;a.pointer=function(t,e,r,n){var i=this,a=i._gl,o=i._locations[i._index];a.vertexAttribPointer(o,i._dimension,t||a.FLOAT,!!e,r||0,n||0),a.enableVertexAttribArray(o)},a.set=function(t,e,r,n){return this._constFunc(this._locations[this._index],t,e,r,n)},Object.defineProperty(a,"location",{get:function(){return this._locations[this._index]},set:function(t){return t!==this._locations[this._index]&&(this._locations[this._index]=0|t,this._wrapper.program=null),0|t}});var o=[function(t,e,r){return void 0===r.length?t.vertexAttrib1f(e,r):t.vertexAttrib1fv(e,r)},function(t,e,r,n){return void 0===r.length?t.vertexAttrib2f(e,r,n):t.vertexAttrib2fv(e,r)},function(t,e,r,n,i){return void 0===r.length?t.vertexAttrib3f(e,r,n,i):t.vertexAttrib3fv(e,r)},function(t,e,r,n,i,a){return void 0===r.length?t.vertexAttrib4f(e,r,n,i,a):t.vertexAttrib4fv(e,r)}];function s(t,e,r,n,a,s,l){var u=o[a],c=new i(t,e,r,n,a,u);Object.defineProperty(s,l,{set:function(e){return t.disableVertexAttribArray(n[r]),u(t,n[r],e),e},get:function(){return c},enumerable:!0})}function l(t,e,r,n,i,a,o){for(var l=new Array(i),u=new Array(i),c=0;c4)throw new i("","Invalid uniform dimension type for matrix "+name+": "+m);t["uniformMatrix"+y+"fv"](s[f],!1,h);break}throw new i("","Unknown uniform data type for "+name+": "+m)}if((y=m.charCodeAt(m.length-1)-48)<2||y>4)throw new i("","Invalid data type");switch(m.charAt(0)){case"b":case"i":t["uniform"+y+"iv"](s[f],h);break;case"v":t["uniform"+y+"fv"](s[f],h);break;default:throw new i("","Unrecognized data type for vector "+name+": "+m)}}}}}}function u(t,e){if("object"!=typeof e)return[[t,e]];var r=[];for(var n in e){var i=e[n],a=t;parseInt(n)+""===n?a+="["+n+"]":a+="."+n,"object"==typeof i?r.push.apply(r,u(a,i)):r.push([a,i])}return r}function c(t,e,n){if("object"==typeof n){var u=f(n);Object.defineProperty(t,e,{get:a(u),set:l(n),enumerable:!0,configurable:!1})}else s[n]?Object.defineProperty(t,e,{get:(c=n,function(t,e,r){return t.getUniform(e.program,r[c])}),set:l(n),enumerable:!0,configurable:!1}):t[e]=function(t){switch(t){case"bool":return!1;case"int":case"sampler2D":case"samplerCube":case"float":return 0;default:var e=t.indexOf("vec");if(0<=e&&e<=1&&t.length===4+e){if((r=t.charCodeAt(t.length-1)-48)<2||r>4)throw new i("","Invalid data type");return"b"===t.charAt(0)?o(r,!1):o(r,0)}if(0===t.indexOf("mat")&&4===t.length){var r;if((r=t.charCodeAt(t.length-1)-48)<2||r>4)throw new i("","Invalid uniform dimension type for matrix "+name+": "+t);return o(r*r,0)}throw new i("","Unknown uniform data type for "+name+": "+t)}}(r[n].type);var c}function f(t){var e;if(Array.isArray(t)){e=new Array(t.length);for(var r=0;r1){s[0]in a||(a[s[0]]=[]),a=a[s[0]];for(var l=1;l1)for(var l=0;l 0 U ||b|| > 0.\n // Assign z = 0, x = -b, y = a:\n // a*-b + b*a + c*0 = -ba + ba + 0 = 0\n if (v.x*v.x > v.z*v.z || v.y*v.y > v.z*v.z) {\n return normalize(vec3(-v.y, v.x, 0.0));\n } else {\n return normalize(vec3(0.0, v.z, -v.y));\n }\n}\n\n// Calculate the tube vertex and normal at the given index.\n//\n// The returned vertex is for a tube ring with its center at origin, radius of length(d), pointing in the direction of d.\n//\n// Each tube segment is made up of a ring of vertices.\n// These vertices are used to make up the triangles of the tube by connecting them together in the vertex array.\n// The indexes of tube segments run from 0 to 8.\n//\nvec3 getTubePosition(vec3 d, float index, out vec3 normal) {\n float segmentCount = 8.0;\n\n float angle = 2.0 * 3.14159 * (index / segmentCount);\n\n vec3 u = getOrthogonalVector(d);\n vec3 v = normalize(cross(u, d));\n\n vec3 x = u * cos(angle) * length(d);\n vec3 y = v * sin(angle) * length(d);\n vec3 v3 = x + y;\n\n normal = normalize(v3);\n\n return v3;\n}\n\nattribute vec4 vector;\nattribute vec4 color, position;\nattribute vec2 uv;\n\nuniform float vectorScale, tubeScale;\nuniform mat4 model, view, projection, inverseModel;\nuniform vec3 eyePosition, lightPosition;\n\nvarying vec3 f_normal, f_lightDirection, f_eyeDirection, f_data, f_position;\nvarying vec4 f_color;\nvarying vec2 f_uv;\n\nvoid main() {\n // Scale the vector magnitude to stay constant with\n // model & view changes.\n vec3 normal;\n vec3 XYZ = getTubePosition(mat3(model) * (tubeScale * vector.w * normalize(vector.xyz)), position.w, normal);\n vec4 tubePosition = model * vec4(position.xyz, 1.0) + vec4(XYZ, 0.0);\n\n //Lighting geometry parameters\n vec4 cameraCoordinate = view * tubePosition;\n cameraCoordinate.xyz /= cameraCoordinate.w;\n f_lightDirection = lightPosition - cameraCoordinate.xyz;\n f_eyeDirection = eyePosition - cameraCoordinate.xyz;\n f_normal = normalize((vec4(normal, 0.0) * inverseModel).xyz);\n\n // vec4 m_position = model * vec4(tubePosition, 1.0);\n vec4 t_position = view * tubePosition;\n gl_Position = projection * t_position;\n\n f_color = color;\n f_data = tubePosition.xyz;\n f_position = position.xyz;\n f_uv = uv;\n}\n"]),a=n(["#extension GL_OES_standard_derivatives : enable\n\nprecision highp float;\n#define GLSLIFY 1\n\nfloat beckmannDistribution(float x, float roughness) {\n float NdotH = max(x, 0.0001);\n float cos2Alpha = NdotH * NdotH;\n float tan2Alpha = (cos2Alpha - 1.0) / cos2Alpha;\n float roughness2 = roughness * roughness;\n float denom = 3.141592653589793 * roughness2 * cos2Alpha * cos2Alpha;\n return exp(tan2Alpha / roughness2) / denom;\n}\n\nfloat cookTorranceSpecular(\n vec3 lightDirection,\n vec3 viewDirection,\n vec3 surfaceNormal,\n float roughness,\n float fresnel) {\n\n float VdotN = max(dot(viewDirection, surfaceNormal), 0.0);\n float LdotN = max(dot(lightDirection, surfaceNormal), 0.0);\n\n //Half angle vector\n vec3 H = normalize(lightDirection + viewDirection);\n\n //Geometric term\n float NdotH = max(dot(surfaceNormal, H), 0.0);\n float VdotH = max(dot(viewDirection, H), 0.000001);\n float LdotH = max(dot(lightDirection, H), 0.000001);\n float G1 = (2.0 * NdotH * VdotN) / VdotH;\n float G2 = (2.0 * NdotH * LdotN) / LdotH;\n float G = min(1.0, min(G1, G2));\n \n //Distribution term\n float D = beckmannDistribution(NdotH, roughness);\n\n //Fresnel term\n float F = pow(1.0 - VdotN, fresnel);\n\n //Multiply terms and done\n return G * F * D / max(3.14159265 * VdotN, 0.000001);\n}\n\nbool outOfRange(float a, float b, float p) {\n return ((p > max(a, b)) || \n (p < min(a, b)));\n}\n\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\n return (outOfRange(a.x, b.x, p.x) ||\n outOfRange(a.y, b.y, p.y));\n}\n\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\n return (outOfRange(a.x, b.x, p.x) ||\n outOfRange(a.y, b.y, p.y) ||\n outOfRange(a.z, b.z, p.z));\n}\n\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\n return outOfRange(a.xyz, b.xyz, p.xyz);\n}\n\nuniform vec3 clipBounds[2];\nuniform float roughness, fresnel, kambient, kdiffuse, kspecular, opacity;\nuniform sampler2D texture;\n\nvarying vec3 f_normal, f_lightDirection, f_eyeDirection, f_data, f_position;\nvarying vec4 f_color;\nvarying vec2 f_uv;\n\nvoid main() {\n if (outOfRange(clipBounds[0], clipBounds[1], f_position)) discard;\n vec3 N = normalize(f_normal);\n vec3 L = normalize(f_lightDirection);\n vec3 V = normalize(f_eyeDirection);\n\n if(gl_FrontFacing) {\n N = -N;\n }\n\n float specular = min(1.0, max(0.0, cookTorranceSpecular(L, V, N, roughness, fresnel)));\n float diffuse = min(kambient + kdiffuse * max(dot(N, L), 0.0), 1.0);\n\n vec4 surfaceColor = f_color * texture2D(texture, f_uv);\n vec4 litColor = surfaceColor.a * vec4(diffuse * surfaceColor.rgb + kspecular * vec3(1,1,1) * specular, 1.0);\n\n gl_FragColor = litColor * opacity;\n}\n"]),o=n(["precision highp float;\n\nprecision highp float;\n#define GLSLIFY 1\n\nvec3 getOrthogonalVector(vec3 v) {\n // Return up-vector for only-z vector.\n // Return ax + by + cz = 0, a point that lies on the plane that has v as a normal and that isn't (0,0,0).\n // From the above if-statement we have ||a|| > 0 U ||b|| > 0.\n // Assign z = 0, x = -b, y = a:\n // a*-b + b*a + c*0 = -ba + ba + 0 = 0\n if (v.x*v.x > v.z*v.z || v.y*v.y > v.z*v.z) {\n return normalize(vec3(-v.y, v.x, 0.0));\n } else {\n return normalize(vec3(0.0, v.z, -v.y));\n }\n}\n\n// Calculate the tube vertex and normal at the given index.\n//\n// The returned vertex is for a tube ring with its center at origin, radius of length(d), pointing in the direction of d.\n//\n// Each tube segment is made up of a ring of vertices.\n// These vertices are used to make up the triangles of the tube by connecting them together in the vertex array.\n// The indexes of tube segments run from 0 to 8.\n//\nvec3 getTubePosition(vec3 d, float index, out vec3 normal) {\n float segmentCount = 8.0;\n\n float angle = 2.0 * 3.14159 * (index / segmentCount);\n\n vec3 u = getOrthogonalVector(d);\n vec3 v = normalize(cross(u, d));\n\n vec3 x = u * cos(angle) * length(d);\n vec3 y = v * sin(angle) * length(d);\n vec3 v3 = x + y;\n\n normal = normalize(v3);\n\n return v3;\n}\n\nattribute vec4 vector;\nattribute vec4 position;\nattribute vec4 id;\n\nuniform mat4 model, view, projection;\nuniform float tubeScale;\n\nvarying vec3 f_position;\nvarying vec4 f_id;\n\nvoid main() {\n vec3 normal;\n vec3 XYZ = getTubePosition(mat3(model) * (tubeScale * vector.w * normalize(vector.xyz)), position.w, normal);\n vec4 tubePosition = model * vec4(position.xyz, 1.0) + vec4(XYZ, 0.0);\n\n gl_Position = projection * view * tubePosition;\n f_id = id;\n f_position = position.xyz;\n}\n"]),s=n(["precision highp float;\n#define GLSLIFY 1\n\nbool outOfRange(float a, float b, float p) {\n return ((p > max(a, b)) || \n (p < min(a, b)));\n}\n\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\n return (outOfRange(a.x, b.x, p.x) ||\n outOfRange(a.y, b.y, p.y));\n}\n\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\n return (outOfRange(a.x, b.x, p.x) ||\n outOfRange(a.y, b.y, p.y) ||\n outOfRange(a.z, b.z, p.z));\n}\n\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\n return outOfRange(a.xyz, b.xyz, p.xyz);\n}\n\nuniform vec3 clipBounds[2];\nuniform float pickId;\n\nvarying vec3 f_position;\nvarying vec4 f_id;\n\nvoid main() {\n if (outOfRange(clipBounds[0], clipBounds[1], f_position)) discard;\n\n gl_FragColor = vec4(pickId, f_id.xyz);\n}"]);e.meshShader={vertex:i,fragment:a,attributes:[{name:"position",type:"vec4"},{name:"color",type:"vec4"},{name:"uv",type:"vec2"},{name:"vector",type:"vec4"}]},e.pickShader={vertex:o,fragment:s,attributes:[{name:"position",type:"vec4"},{name:"id",type:"vec4"},{name:"vector",type:"vec4"}]}},7307:function(t,e,r){"use strict";var n=r(2858),i=r(4020),a=["xyz","xzy","yxz","yzx","zxy","zyx"],o=function(t,e){var r,n=t.length;for(r=0;re)return r-1}return r},s=function(t,e,r){return tr?r:t},l=function(t){var e=1/0;t.sort((function(t,e){return t-e}));for(var r=t.length,n=1;nf-1||m>h-1||x>p-1)return n.create();var b,_,w,T,k,A,M=a[0][d],S=a[0][y],E=a[1][v],L=a[1][m],C=a[2][g],P=(l-M)/(S-M),O=(u-E)/(L-E),I=(c-C)/(a[2][x]-C);switch(isFinite(P)||(P=.5),isFinite(O)||(O=.5),isFinite(I)||(I=.5),r.reversedX&&(d=f-1-d,y=f-1-y),r.reversedY&&(v=h-1-v,m=h-1-m),r.reversedZ&&(g=p-1-g,x=p-1-x),r.filled){case 5:k=g,A=x,w=v*p,T=m*p,b=d*p*h,_=y*p*h;break;case 4:k=g,A=x,b=d*p,_=y*p,w=v*p*f,T=m*p*f;break;case 3:w=v,T=m,k=g*h,A=x*h,b=d*h*p,_=y*h*p;break;case 2:w=v,T=m,b=d*h,_=y*h,k=g*h*f,A=x*h*f;break;case 1:b=d,_=y,k=g*f,A=x*f,w=v*f*p,T=m*f*p;break;default:b=d,_=y,w=v*f,T=m*f,k=g*f*h,A=x*f*h}var D=i[b+w+k],z=i[b+w+A],R=i[b+T+k],F=i[b+T+A],B=i[_+w+k],N=i[_+w+A],j=i[_+T+k],U=i[_+T+A],V=n.create(),q=n.create(),H=n.create(),G=n.create();n.lerp(V,D,B,P),n.lerp(q,z,N,P),n.lerp(H,R,j,P),n.lerp(G,F,U,P);var W=n.create(),Y=n.create();n.lerp(W,V,H,O),n.lerp(Y,q,G,O);var X=n.create();return n.lerp(X,W,Y,I),X}(e,t,p)},v=t.getDivergence||function(t,e){var r=n.create(),i=1e-4;n.add(r,t,[i,0,0]);var a=d(r);n.subtract(a,a,e),n.scale(a,a,1/i),n.add(r,t,[0,i,0]);var o=d(r);n.subtract(o,o,e),n.scale(o,o,1/i),n.add(r,t,[0,0,i]);var s=d(r);return n.subtract(s,s,e),n.scale(s,s,1/i),n.add(r,a,o),n.add(r,r,s),r},g=[],y=e[0][0],m=e[0][1],x=e[0][2],b=e[1][0],_=e[1][1],w=e[1][2],T=function(t){var e=t[0],r=t[1],n=t[2];return!(eb||r_||nw)},k=10*n.distance(e[0],e[1])/u,A=k*k,M=1,S=0,E=r.length;E>1&&(M=function(t){for(var e=[],r=[],n=[],i={},a={},o={},s=t.length,u=0;uS&&(S=F),z.push(F),g.push({points:P,velocities:O,divergences:z});for(var B=0;B<100*u&&P.lengthA&&n.scale(N,N,k/Math.sqrt(j)),n.add(N,N,C),I=d(N),n.squaredDistance(D,N)-A>-1e-4*A&&(P.push(N),D=N,O.push(I),R=v(N,I),F=n.length(R),isFinite(F)&&F>S&&(S=F),z.push(F)),C=N}}var U=function(t,e,r,a){for(var o=0,s=0;s0)for(T=0;T<8;T++){var k=(T+1)%8;u.push(h[T],p[T],p[k],p[k],h[k],h[T]),f.push(m,y,y,y,m,m),d.push(v,g,g,g,v,v);var A=u.length;c.push([A-6,A-5,A-4],[A-3,A-2,A-1])}var M=h;h=p,p=M;var S=m;m=y,y=S;var E=v;v=g,g=E}return{positions:u,cells:c,vectors:f,vertexIntensity:d}}(t,r,a,o)})),f=[],h=[],p=[],d=[];for(s=0;s max(a, b)) || \n (p < min(a, b)));\n}\n\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\n return (outOfRange(a.x, b.x, p.x) ||\n outOfRange(a.y, b.y, p.y));\n}\n\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\n return (outOfRange(a.x, b.x, p.x) ||\n outOfRange(a.y, b.y, p.y) ||\n outOfRange(a.z, b.z, p.z));\n}\n\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\n return outOfRange(a.xyz, b.xyz, p.xyz);\n}\n\nuniform vec3 lowerBound, upperBound;\nuniform float contourTint;\nuniform vec4 contourColor;\nuniform sampler2D colormap;\nuniform vec3 clipBounds[2];\nuniform float roughness, fresnel, kambient, kdiffuse, kspecular, opacity;\nuniform float vertexColor;\n\nvarying float value, kill;\nvarying vec3 worldCoordinate;\nvarying vec3 lightDirection, eyeDirection, surfaceNormal;\nvarying vec4 vColor;\n\nvoid main() {\n if (\n kill > 0.0 ||\n vColor.a == 0.0 ||\n outOfRange(clipBounds[0], clipBounds[1], worldCoordinate)\n ) discard;\n\n vec3 N = normalize(surfaceNormal);\n vec3 V = normalize(eyeDirection);\n vec3 L = normalize(lightDirection);\n\n if(gl_FrontFacing) {\n N = -N;\n }\n\n float specular = max(beckmannSpecular(L, V, N, roughness), 0.);\n float diffuse = min(kambient + kdiffuse * max(dot(N, L), 0.0), 1.0);\n\n //decide how to interpolate color — in vertex or in fragment\n vec4 surfaceColor =\n step(vertexColor, .5) * texture2D(colormap, vec2(value, value)) +\n step(.5, vertexColor) * vColor;\n\n vec4 litColor = surfaceColor.a * vec4(diffuse * surfaceColor.rgb + kspecular * vec3(1,1,1) * specular, 1.0);\n\n gl_FragColor = mix(litColor, contourColor, contourTint) * opacity;\n}\n"]),s=i(["precision highp float;\n#define GLSLIFY 1\n\nattribute vec4 uv;\nattribute float f;\n\nuniform vec3 objectOffset;\nuniform mat3 permutation;\nuniform mat4 model, view, projection;\nuniform float height, zOffset;\nuniform sampler2D colormap;\n\nvarying float value, kill;\nvarying vec3 worldCoordinate;\nvarying vec2 planeCoordinate;\nvarying vec3 lightDirection, eyeDirection, surfaceNormal;\nvarying vec4 vColor;\n\nvoid main() {\n vec3 dataCoordinate = permutation * vec3(uv.xy, height);\n worldCoordinate = objectOffset + dataCoordinate;\n vec4 worldPosition = model * vec4(worldCoordinate, 1.0);\n\n vec4 clipPosition = projection * view * worldPosition;\n clipPosition.z += zOffset;\n\n gl_Position = clipPosition;\n value = f + objectOffset.z;\n kill = -1.0;\n planeCoordinate = uv.zw;\n\n vColor = texture2D(colormap, vec2(value, value));\n\n //Don't do lighting for contours\n surfaceNormal = vec3(1,0,0);\n eyeDirection = vec3(0,1,0);\n lightDirection = vec3(0,0,1);\n}\n"]),l=i(["precision highp float;\n#define GLSLIFY 1\n\nbool outOfRange(float a, float b, float p) {\n return ((p > max(a, b)) || \n (p < min(a, b)));\n}\n\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\n return (outOfRange(a.x, b.x, p.x) ||\n outOfRange(a.y, b.y, p.y));\n}\n\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\n return (outOfRange(a.x, b.x, p.x) ||\n outOfRange(a.y, b.y, p.y) ||\n outOfRange(a.z, b.z, p.z));\n}\n\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\n return outOfRange(a.xyz, b.xyz, p.xyz);\n}\n\nuniform vec2 shape;\nuniform vec3 clipBounds[2];\nuniform float pickId;\n\nvarying float value, kill;\nvarying vec3 worldCoordinate;\nvarying vec2 planeCoordinate;\nvarying vec3 surfaceNormal;\n\nvec2 splitFloat(float v) {\n float vh = 255.0 * v;\n float upper = floor(vh);\n float lower = fract(vh);\n return vec2(upper / 255.0, floor(lower * 16.0) / 16.0);\n}\n\nvoid main() {\n if ((kill > 0.0) ||\n (outOfRange(clipBounds[0], clipBounds[1], worldCoordinate))) discard;\n\n vec2 ux = splitFloat(planeCoordinate.x / shape.x);\n vec2 uy = splitFloat(planeCoordinate.y / shape.y);\n gl_FragColor = vec4(pickId, ux.x, uy.x, ux.y + (uy.y/16.0));\n}\n"]);e.createShader=function(t){var e=n(t,a,o,null,[{name:"uv",type:"vec4"},{name:"f",type:"vec3"},{name:"normal",type:"vec3"}]);return e.attributes.uv.location=0,e.attributes.f.location=1,e.attributes.normal.location=2,e},e.createPickShader=function(t){var e=n(t,a,l,null,[{name:"uv",type:"vec4"},{name:"f",type:"vec3"},{name:"normal",type:"vec3"}]);return e.attributes.uv.location=0,e.attributes.f.location=1,e.attributes.normal.location=2,e},e.createContourShader=function(t){var e=n(t,s,o,null,[{name:"uv",type:"vec4"},{name:"f",type:"float"}]);return e.attributes.uv.location=0,e.attributes.f.location=1,e},e.createPickContourShader=function(t){var e=n(t,s,l,null,[{name:"uv",type:"vec4"},{name:"f",type:"float"}]);return e.attributes.uv.location=0,e.attributes.f.location=1,e}},3754:function(t,e,r){"use strict";t.exports=function(t){var e=t.gl,r=m(e),n=b(e),s=x(e),l=_(e),u=i(e),c=a(e,[{buffer:u,size:4,stride:w,offset:0},{buffer:u,size:3,stride:w,offset:16},{buffer:u,size:3,stride:w,offset:28}]),f=i(e),h=a(e,[{buffer:f,size:4,stride:20,offset:0},{buffer:f,size:1,stride:20,offset:16}]),p=i(e),d=a(e,[{buffer:p,size:2,type:e.FLOAT}]),v=o(e,1,S,e.RGBA,e.UNSIGNED_BYTE);v.minFilter=e.LINEAR,v.magFilter=e.LINEAR;var g=new E(e,[0,0],[[0,0,0],[0,0,0]],r,n,u,c,v,s,l,f,h,p,d,[0,0,0]),y={levels:[[],[],[]]};for(var T in t)y[T]=t[T];return y.colormap=y.colormap||"jet",g.update(y),g};var n=r(2288),i=r(5827),a=r(2944),o=r(8931),s=r(5306),l=r(9156),u=r(7498),c=r(7382),f=r(5050),h=r(4162),p=r(104),d=r(7437),v=r(5070),g=r(9144),y=r(9054),m=y.createShader,x=y.createContourShader,b=y.createPickShader,_=y.createPickContourShader,w=40,T=[1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1],k=[[0,0],[0,1],[1,0],[1,1],[1,0],[0,1]],A=[[0,0,0,0,0,0,0,0,0],[0,0,0,0,0,0,0,0,0],[0,0,0,0,0,0,0,0,0]];function M(t,e,r,n,i){this.position=t,this.index=e,this.uv=r,this.level=n,this.dataCoordinate=i}!function(){for(var t=0;t<3;++t){var e=A[t],r=(t+2)%3;e[(t+1)%3+0]=1,e[r+3]=1,e[t+6]=1}}();var S=256;function E(t,e,r,n,i,a,o,l,u,c,h,p,d,v,g){this.gl=t,this.shape=e,this.bounds=r,this.objectOffset=g,this.intensityBounds=[],this._shader=n,this._pickShader=i,this._coordinateBuffer=a,this._vao=o,this._colorMap=l,this._contourShader=u,this._contourPickShader=c,this._contourBuffer=h,this._contourVAO=p,this._contourOffsets=[[],[],[]],this._contourCounts=[[],[],[]],this._vertexCount=0,this._pickResult=new M([0,0,0],[0,0],[0,0],[0,0,0],[0,0,0]),this._dynamicBuffer=d,this._dynamicVAO=v,this._dynamicOffsets=[0,0,0],this._dynamicCounts=[0,0,0],this.contourWidth=[1,1,1],this.contourLevels=[[1],[1],[1]],this.contourTint=[0,0,0],this.contourColor=[[.5,.5,.5,1],[.5,.5,.5,1],[.5,.5,.5,1]],this.showContour=!0,this.showSurface=!0,this.enableHighlight=[!0,!0,!0],this.highlightColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.highlightTint=[1,1,1],this.highlightLevel=[-1,-1,-1],this.enableDynamic=[!0,!0,!0],this.dynamicLevel=[NaN,NaN,NaN],this.dynamicColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.dynamicTint=[1,1,1],this.dynamicWidth=[1,1,1],this.axesBounds=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]],this.surfaceProject=[!1,!1,!1],this.contourProject=[[!1,!1,!1],[!1,!1,!1],[!1,!1,!1]],this.colorBounds=[!1,!1],this._field=[f(s.mallocFloat(1024),[0,0]),f(s.mallocFloat(1024),[0,0]),f(s.mallocFloat(1024),[0,0])],this.pickId=1,this.clipBounds=[[-1/0,-1/0,-1/0],[1/0,1/0,1/0]],this.snapToData=!1,this.pixelRatio=1,this.opacity=1,this.lightPosition=[10,1e4,0],this.ambientLight=.8,this.diffuseLight=.8,this.specularLight=2,this.roughness=.5,this.fresnel=1.5,this.vertexColor=0,this.dirty=!0}var L=E.prototype;L.genColormap=function(t,e){var r=!1,n=c([l({colormap:t,nshades:S,format:"rgba"}).map((function(t,n){var i=e?function(t,e){if(!e)return 1;if(!e.length)return 1;for(var r=0;rt&&r>0){var n=(e[r][0]-t)/(e[r][0]-e[r-1][0]);return e[r][1]*(1-n)+n*e[r-1][1]}}return 1}(n/255,e):t[3];return i<1&&(r=!0),[t[0],t[1],t[2],255*i]}))]);return u.divseq(n,255),this.hasAlphaScale=r,n},L.isTransparent=function(){return this.opacity<1||this.hasAlphaScale},L.isOpaque=function(){return!this.isTransparent()},L.pickSlots=1,L.setPickBase=function(t){this.pickId=t};var C=[0,0,0],P={showSurface:!1,showContour:!1,projections:[T.slice(),T.slice(),T.slice()],clipBounds:[[[0,0,0],[0,0,0]],[[0,0,0],[0,0,0]],[[0,0,0],[0,0,0]]]};function O(t,e){var r,n,i,a=e.axes&&e.axes.lastCubeProps.axis||C,o=e.showSurface,s=e.showContour;for(r=0;r<3;++r)for(o=o||e.surfaceProject[r],n=0;n<3;++n)s=s||e.contourProject[r][n];for(r=0;r<3;++r){var l=P.projections[r];for(n=0;n<16;++n)l[n]=0;for(n=0;n<4;++n)l[5*n]=1;l[5*r]=0,l[12+r]=e.axesBounds[+(a[r]>0)][r],p(l,t.model,l);var u=P.clipBounds[r];for(i=0;i<2;++i)for(n=0;n<3;++n)u[i][n]=t.clipBounds[i][n];u[0][r]=-1e8,u[1][r]=1e8}return P.showSurface=o,P.showContour=s,P}var I={model:T,view:T,projection:T,inverseModel:T.slice(),lowerBound:[0,0,0],upperBound:[0,0,0],colorMap:0,clipBounds:[[0,0,0],[0,0,0]],height:0,contourTint:0,contourColor:[0,0,0,1],permutation:[1,0,0,0,1,0,0,0,1],zOffset:-1e-4,objectOffset:[0,0,0],kambient:1,kdiffuse:1,kspecular:1,lightPosition:[1e3,1e3,1e3],eyePosition:[0,0,0],roughness:1,fresnel:1,opacity:1,vertexColor:0},D=T.slice(),z=[1,0,0,0,1,0,0,0,1];function R(t,e){t=t||{};var r=this.gl;r.disable(r.CULL_FACE),this._colorMap.bind(0);var n=I;n.model=t.model||T,n.view=t.view||T,n.projection=t.projection||T,n.lowerBound=[this.bounds[0][0],this.bounds[0][1],this.colorBounds[0]||this.bounds[0][2]],n.upperBound=[this.bounds[1][0],this.bounds[1][1],this.colorBounds[1]||this.bounds[1][2]],n.objectOffset=this.objectOffset,n.contourColor=this.contourColor[0],n.inverseModel=d(n.inverseModel,n.model);for(var i=0;i<2;++i)for(var a=n.clipBounds[i],o=0;o<3;++o)a[o]=Math.min(Math.max(this.clipBounds[i][o],-1e8),1e8);n.kambient=this.ambientLight,n.kdiffuse=this.diffuseLight,n.kspecular=this.specularLight,n.roughness=this.roughness,n.fresnel=this.fresnel,n.opacity=this.opacity,n.height=0,n.permutation=z,n.vertexColor=this.vertexColor;var s=D;for(p(s,n.view,n.model),p(s,n.projection,s),d(s,s),i=0;i<3;++i)n.eyePosition[i]=s[12+i]/s[15];var l=s[15];for(i=0;i<3;++i)l+=this.lightPosition[i]*s[4*i+3];for(i=0;i<3;++i){var u=s[12+i];for(o=0;o<3;++o)u+=s[4*o+i]*this.lightPosition[o];n.lightPosition[i]=u/l}var c=O(n,this);if(c.showSurface){for(this._shader.bind(),this._shader.uniforms=n,this._vao.bind(),this.showSurface&&this._vertexCount&&this._vao.draw(r.TRIANGLES,this._vertexCount),i=0;i<3;++i)this.surfaceProject[i]&&this.vertexCount&&(this._shader.uniforms.model=c.projections[i],this._shader.uniforms.clipBounds=c.clipBounds[i],this._vao.draw(r.TRIANGLES,this._vertexCount));this._vao.unbind()}if(c.showContour){var f=this._contourShader;n.kambient=1,n.kdiffuse=0,n.kspecular=0,n.opacity=1,f.bind(),f.uniforms=n;var h=this._contourVAO;for(h.bind(),i=0;i<3;++i)for(f.uniforms.permutation=A[i],r.lineWidth(this.contourWidth[i]*this.pixelRatio),o=0;o>4)/16)/255,i=Math.floor(n),a=n-i,o=e[1]*(t.value[1]+(15&t.value[2])/16)/255,s=Math.floor(o),l=o-s;i+=1,s+=1;var u=r.position;u[0]=u[1]=u[2]=0;for(var c=0;c<2;++c)for(var f=c?a:1-a,h=0;h<2;++h)for(var p=i+c,d=s+h,g=f*(h?l:1-l),y=0;y<3;++y)u[y]+=this._field[y].get(p,d)*g;for(var m=this._pickResult.level,x=0;x<3;++x)if(m[x]=v.le(this.contourLevels[x],u[x]),m[x]<0)this.contourLevels[x].length>0&&(m[x]=0);else if(m[x]Math.abs(_-u[x])&&(m[x]+=1)}for(r.index[0]=a<.5?i:i+1,r.index[1]=l<.5?s:s+1,r.uv[0]=n/e[0],r.uv[1]=o/e[1],y=0;y<3;++y)r.dataCoordinate[y]=this._field[y].get(r.index[0],r.index[1]);return r},L.padField=function(t,e){var r=e.shape.slice(),n=t.shape.slice();u.assign(t.lo(1,1).hi(r[0],r[1]),e),u.assign(t.lo(1).hi(r[0],1),e.hi(r[0],1)),u.assign(t.lo(1,n[1]-1).hi(r[0],1),e.lo(0,r[1]-1).hi(r[0],1)),u.assign(t.lo(0,1).hi(1,r[1]),e.hi(1)),u.assign(t.lo(n[0]-1,1).hi(1,r[1]),e.lo(r[0]-1)),t.set(0,0,e.get(0,0)),t.set(0,n[1]-1,e.get(0,r[1]-1)),t.set(n[0]-1,0,e.get(r[0]-1,0)),t.set(n[0]-1,n[1]-1,e.get(r[0]-1,r[1]-1))},L.update=function(t){t=t||{},this.objectOffset=t.objectOffset||this.objectOffset,this.dirty=!0,"contourWidth"in t&&(this.contourWidth=B(t.contourWidth,Number)),"showContour"in t&&(this.showContour=B(t.showContour,Boolean)),"showSurface"in t&&(this.showSurface=!!t.showSurface),"contourTint"in t&&(this.contourTint=B(t.contourTint,Boolean)),"contourColor"in t&&(this.contourColor=j(t.contourColor)),"contourProject"in t&&(this.contourProject=B(t.contourProject,(function(t){return B(t,Boolean)}))),"surfaceProject"in t&&(this.surfaceProject=t.surfaceProject),"dynamicColor"in t&&(this.dynamicColor=j(t.dynamicColor)),"dynamicTint"in t&&(this.dynamicTint=B(t.dynamicTint,Number)),"dynamicWidth"in t&&(this.dynamicWidth=B(t.dynamicWidth,Number)),"opacity"in t&&(this.opacity=t.opacity),"opacityscale"in t&&(this.opacityscale=t.opacityscale),"colorBounds"in t&&(this.colorBounds=t.colorBounds),"vertexColor"in t&&(this.vertexColor=t.vertexColor?1:0),"colormap"in t&&this._colorMap.setPixels(this.genColormap(t.colormap,this.opacityscale));var e=t.field||t.coords&&t.coords[2]||null,r=!1;if(e||(e=this._field[2].shape[0]||this._field[2].shape[2]?this._field[2].lo(1,1).hi(this._field[2].shape[0]-2,this._field[2].shape[1]-2):this._field[2].hi(0,0)),"field"in t||"coords"in t){var i=(e.shape[0]+2)*(e.shape[1]+2);i>this._field[2].data.length&&(s.freeFloat(this._field[2].data),this._field[2].data=s.mallocFloat(n.nextPow2(i))),this._field[2]=f(this._field[2].data,[e.shape[0]+2,e.shape[1]+2]),this.padField(this._field[2],e),this.shape=e.shape.slice();for(var a=this.shape,o=0;o<2;++o)this._field[2].size>this._field[o].data.length&&(s.freeFloat(this._field[o].data),this._field[o].data=s.mallocFloat(this._field[2].size)),this._field[o]=f(this._field[o].data,[a[0]+2,a[1]+2]);if(t.coords){var l=t.coords;if(!Array.isArray(l)||3!==l.length)throw new Error("gl-surface: invalid coordinates for x/y");for(o=0;o<2;++o){var u=l[o];for(y=0;y<2;++y)if(u.shape[y]!==a[y])throw new Error("gl-surface: coords have incorrect shape");this.padField(this._field[o],u)}}else if(t.ticks){var c=t.ticks;if(!Array.isArray(c)||2!==c.length)throw new Error("gl-surface: invalid ticks");for(o=0;o<2;++o){var p=c[o];if((Array.isArray(p)||p.length)&&(p=f(p)),p.shape[0]!==a[o])throw new Error("gl-surface: invalid tick length");var d=f(p.data,a);d.stride[o]=p.stride[0],d.stride[1^o]=0,this.padField(this._field[o],d)}}else{for(o=0;o<2;++o){var v=[0,0];v[o]=1,this._field[o]=f(this._field[o].data,[a[0]+2,a[1]+2],v,0)}this._field[0].set(0,0,0);for(var y=0;y0){for(var xt=0;xt<5;++xt)$.pop();U-=1}continue t}$.push(nt[0],nt[1],ot[0],ot[1],nt[2]),U+=1}}rt.push(U)}this._contourOffsets[Q]=et,this._contourCounts[Q]=rt}var bt=s.mallocFloat($.length);for(o=0;o<$.length;++o)bt[o]=$[o];this._contourBuffer.update(bt),s.freeFloat(bt)}},L.dispose=function(){this._shader.dispose(),this._vao.dispose(),this._coordinateBuffer.dispose(),this._colorMap.dispose(),this._contourBuffer.dispose(),this._contourVAO.dispose(),this._contourShader.dispose(),this._contourPickShader.dispose(),this._dynamicBuffer.dispose(),this._dynamicVAO.dispose();for(var t=0;t<3;++t)s.freeFloat(this._field[t].data)},L.highlight=function(t){var e,r;if(!t)return this._dynamicCounts=[0,0,0],this.dyanamicLevel=[NaN,NaN,NaN],void(this.highlightLevel=[-1,-1,-1]);for(e=0;e<3;++e)this.enableHighlight[e]?this.highlightLevel[e]=t.level[e]:this.highlightLevel[e]=-1;for(r=this.snapToData?t.dataCoordinate:t.position,e=0;e<3;++e)r[e]-=this.objectOffset[e];if(this.enableDynamic[0]&&r[0]!==this.dynamicLevel[0]||this.enableDynamic[1]&&r[1]!==this.dynamicLevel[1]||this.enableDynamic[2]&&r[2]!==this.dynamicLevel[2]){for(var n=0,i=this.shape,a=s.mallocFloat(12*i[0]*i[1]),o=0;o<3;++o)if(this.enableDynamic[o]){this.dynamicLevel[o]=r[o];var l=(o+1)%3,u=(o+2)%3,c=this._field[o],f=this._field[l],p=this._field[u],d=h(c,r[o]),v=d.cells,g=d.positions;for(this._dynamicOffsets[o]=n,e=0;es||o[1]<0||o[1]>s)throw new Error("gl-texture2d: Invalid texture size");var l=d(o,e.stride.slice()),u=0;"float32"===r?u=t.FLOAT:"float64"===r?(u=t.FLOAT,l=!1,r="float32"):"uint8"===r?u=t.UNSIGNED_BYTE:(u=t.UNSIGNED_BYTE,l=!1,r="uint8");var f,p,g=0;if(2===o.length)g=t.LUMINANCE,o=[o[0],o[1],1],e=n(e.data,o,[e.stride[0],e.stride[1],1],e.offset);else{if(3!==o.length)throw new Error("gl-texture2d: Invalid shape for texture");if(1===o[2])g=t.ALPHA;else if(2===o[2])g=t.LUMINANCE_ALPHA;else if(3===o[2])g=t.RGB;else{if(4!==o[2])throw new Error("gl-texture2d: Invalid shape for pixel coords");g=t.RGBA}}u!==t.FLOAT||t.getExtension("OES_texture_float")||(u=t.UNSIGNED_BYTE,l=!1);var y=e.size;if(l)f=0===e.offset&&e.data.length===y?e.data:e.data.subarray(e.offset,e.offset+y);else{var m=[o[2],o[2]*o[0],1];p=a.malloc(y,r);var x=n(p,o,m,0);"float32"!==r&&"float64"!==r||u!==t.UNSIGNED_BYTE?i.assign(x,e):c(x,e),f=p.subarray(0,y)}var b=v(t);return t.texImage2D(t.TEXTURE_2D,0,g,o[0],o[1],0,g,u,f),l||a.free(p),new h(t,b,o[0],o[1],g,u)}(t,e)}throw new Error("gl-texture2d: Invalid arguments for texture2d constructor")};var o=null,s=null,l=null;function u(t){return"undefined"!=typeof HTMLCanvasElement&&t instanceof HTMLCanvasElement||"undefined"!=typeof HTMLImageElement&&t instanceof HTMLImageElement||"undefined"!=typeof HTMLVideoElement&&t instanceof HTMLVideoElement||"undefined"!=typeof ImageData&&t instanceof ImageData}var c=function(t,e){i.muls(t,e,255)};function f(t,e,r){var n=t.gl,i=n.getParameter(n.MAX_TEXTURE_SIZE);if(e<0||e>i||r<0||r>i)throw new Error("gl-texture2d: Invalid texture size");return t._shape=[e,r],t.bind(),n.texImage2D(n.TEXTURE_2D,0,t.format,e,r,0,t.format,t.type,null),t._mipLevels=[0],t}function h(t,e,r,n,i,a){this.gl=t,this.handle=e,this.format=i,this.type=a,this._shape=[r,n],this._mipLevels=[0],this._magFilter=t.NEAREST,this._minFilter=t.NEAREST,this._wrapS=t.CLAMP_TO_EDGE,this._wrapT=t.CLAMP_TO_EDGE,this._anisoSamples=1;var o=this,s=[this._wrapS,this._wrapT];Object.defineProperties(s,[{get:function(){return o._wrapS},set:function(t){return o.wrapS=t}},{get:function(){return o._wrapT},set:function(t){return o.wrapT=t}}]),this._wrapVector=s;var l=[this._shape[0],this._shape[1]];Object.defineProperties(l,[{get:function(){return o._shape[0]},set:function(t){return o.width=t}},{get:function(){return o._shape[1]},set:function(t){return o.height=t}}]),this._shapeVector=l}var p=h.prototype;function d(t,e){return 3===t.length?1===e[2]&&e[1]===t[0]*t[2]&&e[0]===t[2]:1===e[0]&&e[1]===t[0]}function v(t){var e=t.createTexture();return t.bindTexture(t.TEXTURE_2D,e),t.texParameteri(t.TEXTURE_2D,t.TEXTURE_MIN_FILTER,t.NEAREST),t.texParameteri(t.TEXTURE_2D,t.TEXTURE_MAG_FILTER,t.NEAREST),t.texParameteri(t.TEXTURE_2D,t.TEXTURE_WRAP_S,t.CLAMP_TO_EDGE),t.texParameteri(t.TEXTURE_2D,t.TEXTURE_WRAP_T,t.CLAMP_TO_EDGE),e}function g(t,e,r,n,i){var a=t.getParameter(t.MAX_TEXTURE_SIZE);if(e<0||e>a||r<0||r>a)throw new Error("gl-texture2d: Invalid texture shape");if(i===t.FLOAT&&!t.getExtension("OES_texture_float"))throw new Error("gl-texture2d: Floating point textures not supported on this platform");var o=v(t);return t.texImage2D(t.TEXTURE_2D,0,n,e,r,0,n,i,null),new h(t,o,e,r,n,i)}Object.defineProperties(p,{minFilter:{get:function(){return this._minFilter},set:function(t){this.bind();var e=this.gl;if(this.type===e.FLOAT&&o.indexOf(t)>=0&&(e.getExtension("OES_texture_float_linear")||(t=e.NEAREST)),s.indexOf(t)<0)throw new Error("gl-texture2d: Unknown filter mode "+t);return e.texParameteri(e.TEXTURE_2D,e.TEXTURE_MIN_FILTER,t),this._minFilter=t}},magFilter:{get:function(){return this._magFilter},set:function(t){this.bind();var e=this.gl;if(this.type===e.FLOAT&&o.indexOf(t)>=0&&(e.getExtension("OES_texture_float_linear")||(t=e.NEAREST)),s.indexOf(t)<0)throw new Error("gl-texture2d: Unknown filter mode "+t);return e.texParameteri(e.TEXTURE_2D,e.TEXTURE_MAG_FILTER,t),this._magFilter=t}},mipSamples:{get:function(){return this._anisoSamples},set:function(t){var e=this._anisoSamples;if(this._anisoSamples=0|Math.max(t,1),e!==this._anisoSamples){var r=this.gl.getExtension("EXT_texture_filter_anisotropic");r&&this.gl.texParameterf(this.gl.TEXTURE_2D,r.TEXTURE_MAX_ANISOTROPY_EXT,this._anisoSamples)}return this._anisoSamples}},wrapS:{get:function(){return this._wrapS},set:function(t){if(this.bind(),l.indexOf(t)<0)throw new Error("gl-texture2d: Unknown wrap mode "+t);return this.gl.texParameteri(this.gl.TEXTURE_2D,this.gl.TEXTURE_WRAP_S,t),this._wrapS=t}},wrapT:{get:function(){return this._wrapT},set:function(t){if(this.bind(),l.indexOf(t)<0)throw new Error("gl-texture2d: Unknown wrap mode "+t);return this.gl.texParameteri(this.gl.TEXTURE_2D,this.gl.TEXTURE_WRAP_T,t),this._wrapT=t}},wrap:{get:function(){return this._wrapVector},set:function(t){if(Array.isArray(t)||(t=[t,t]),2!==t.length)throw new Error("gl-texture2d: Must specify wrap mode for rows and columns");for(var e=0;e<2;++e)if(l.indexOf(t[e])<0)throw new Error("gl-texture2d: Unknown wrap mode "+t);this._wrapS=t[0],this._wrapT=t[1];var r=this.gl;return this.bind(),r.texParameteri(r.TEXTURE_2D,r.TEXTURE_WRAP_S,this._wrapS),r.texParameteri(r.TEXTURE_2D,r.TEXTURE_WRAP_T,this._wrapT),t}},shape:{get:function(){return this._shapeVector},set:function(t){if(Array.isArray(t)){if(2!==t.length)throw new Error("gl-texture2d: Invalid texture shape")}else t=[0|t,0|t];return f(this,0|t[0],0|t[1]),[0|t[0],0|t[1]]}},width:{get:function(){return this._shape[0]},set:function(t){return f(this,t|=0,this._shape[1]),t}},height:{get:function(){return this._shape[1]},set:function(t){return t|=0,f(this,this._shape[0],t),t}}}),p.bind=function(t){var e=this.gl;return void 0!==t&&e.activeTexture(e.TEXTURE0+(0|t)),e.bindTexture(e.TEXTURE_2D,this.handle),void 0!==t?0|t:e.getParameter(e.ACTIVE_TEXTURE)-e.TEXTURE0},p.dispose=function(){this.gl.deleteTexture(this.handle)},p.generateMipmap=function(){this.bind(),this.gl.generateMipmap(this.gl.TEXTURE_2D);for(var t=Math.min(this._shape[0],this._shape[1]),e=0;t>0;++e,t>>>=1)this._mipLevels.indexOf(e)<0&&this._mipLevels.push(e)},p.setPixels=function(t,e,r,o){var s=this.gl;this.bind(),Array.isArray(e)?(o=r,r=0|e[1],e=0|e[0]):(e=e||0,r=r||0),o=o||0;var l=u(t)?t:t.raw;if(l)this._mipLevels.indexOf(o)<0?(s.texImage2D(s.TEXTURE_2D,0,this.format,this.format,this.type,l),this._mipLevels.push(o)):s.texSubImage2D(s.TEXTURE_2D,o,e,r,this.format,this.type,l);else{if(!(t.shape&&t.stride&&t.data))throw new Error("gl-texture2d: Unsupported data type");if(t.shape.length<2||e+t.shape[1]>this._shape[1]>>>o||r+t.shape[0]>this._shape[0]>>>o||e<0||r<0)throw new Error("gl-texture2d: Texture dimensions are out of bounds");!function(t,e,r,o,s,l,u,f){var h=f.dtype,p=f.shape.slice();if(p.length<2||p.length>3)throw new Error("gl-texture2d: Invalid ndarray, must be 2d or 3d");var v=0,g=0,y=d(p,f.stride.slice());if("float32"===h?v=t.FLOAT:"float64"===h?(v=t.FLOAT,y=!1,h="float32"):"uint8"===h?v=t.UNSIGNED_BYTE:(v=t.UNSIGNED_BYTE,y=!1,h="uint8"),2===p.length)g=t.LUMINANCE,p=[p[0],p[1],1],f=n(f.data,p,[f.stride[0],f.stride[1],1],f.offset);else{if(3!==p.length)throw new Error("gl-texture2d: Invalid shape for texture");if(1===p[2])g=t.ALPHA;else 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L=_*r[a]+w*h[a]+T*e[a];E[4*a+1]=k*r[a]+A*h[a]+M*e[a],E[4*a+2]=L,E[4*a+3]=0}var C=E[1],P=E[5],O=E[9],I=E[2],D=E[6],z=E[10],R=P*z-O*D,F=O*I-C*z,B=C*D-P*I,N=u(R,F,B);for(R/=N,F/=N,B/=N,E[0]=R,E[4]=F,E[8]=B,a=0;a<3;++a)S[a]=b[a]+E[2+4*a]*p;for(a=0;a<3;++a){c=0;for(var j=0;j<3;++j)c+=E[a+4*j]*S[j];E[12+a]=-c}E[15]=1},p.getMatrix=function(t,e){this.recalcMatrix(t);var r=this.computedMatrix;if(e){for(var n=0;n<16;++n)e[n]=r[n];return e}return r};var d=[0,0,0];p.rotate=function(t,e,r,n){if(this.angle.move(t,e,r),n){this.recalcMatrix(t);var i=this.computedMatrix;d[0]=i[2],d[1]=i[6],d[2]=i[10];for(var o=this.computedUp,s=this.computedRight,l=this.computedToward,u=0;u<3;++u)i[4*u]=o[u],i[4*u+1]=s[u],i[4*u+2]=l[u];for(a(i,i,n,d),u=0;u<3;++u)o[u]=i[4*u],s[u]=i[4*u+1];this.up.set(t,o[0],o[1],o[2]),this.right.set(t,s[0],s[1],s[2])}},p.pan=function(t,e,r,n){e=e||0,r=r||0,n=n||0,this.recalcMatrix(t);var 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this.uint16[f+0]=e,this.uint16[f+1]=r,this.uint16[f+2]=n,this.uint16[f+3]=i,this.uint16[f+4]=a,this.uint16[f+5]=o,this.uint16[f+6]=s,this.uint16[f+7]=l,this.uint16[f+8]=u,this.uint16[f+9]=c,t},e}(Qi);sa.prototype.bytesPerElement=20,oi("StructArrayLayout10ui20",sa);var la=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.int16=new Int16Array(this.arrayBuffer),this.uint16=new Uint16Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r,n,i,a,o,s,l,u,c,f){var h=this.length;return this.resize(h+1),this.emplace(h,t,e,r,n,i,a,o,s,l,u,c,f)},e.prototype.emplace=function(t,e,r,n,i,a,o,s,l,u,c,f,h){var p=12*t;return this.int16[p+0]=e,this.int16[p+1]=r,this.int16[p+2]=n,this.int16[p+3]=i,this.uint16[p+4]=a,this.uint16[p+5]=o,this.uint16[p+6]=s,this.uint16[p+7]=l,this.int16[p+8]=u,this.int16[p+9]=c,this.int16[p+10]=f,this.int16[p+11]=h,t},e}(Qi);la.prototype.bytesPerElement=24,oi("StructArrayLayout4i4ui4i24",la);var ua=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.float32=new Float32Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r){var n=this.length;return this.resize(n+1),this.emplace(n,t,e,r)},e.prototype.emplace=function(t,e,r,n){var i=3*t;return this.float32[i+0]=e,this.float32[i+1]=r,this.float32[i+2]=n,t},e}(Qi);ua.prototype.bytesPerElement=12,oi("StructArrayLayout3f12",ua);var ca=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.uint32=new Uint32Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t){var e=this.length;return this.resize(e+1),this.emplace(e,t)},e.prototype.emplace=function(t,e){var r=1*t;return this.uint32[r+0]=e,t},e}(Qi);ca.prototype.bytesPerElement=4,oi("StructArrayLayout1ul4",ca);var fa=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.int16=new Int16Array(this.arrayBuffer),this.uint32=new Uint32Array(this.arrayBuffer),this.uint16=new Uint16Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r,n,i,a,o,s,l){var u=this.length;return this.resize(u+1),this.emplace(u,t,e,r,n,i,a,o,s,l)},e.prototype.emplace=function(t,e,r,n,i,a,o,s,l,u){var c=10*t,f=5*t;return this.int16[c+0]=e,this.int16[c+1]=r,this.int16[c+2]=n,this.int16[c+3]=i,this.int16[c+4]=a,this.int16[c+5]=o,this.uint32[f+3]=s,this.uint16[c+8]=l,this.uint16[c+9]=u,t},e}(Qi);fa.prototype.bytesPerElement=20,oi("StructArrayLayout6i1ul2ui20",fa);var ha=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.int16=new Int16Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r,n,i,a){var o=this.length;return this.resize(o+1),this.emplace(o,t,e,r,n,i,a)},e.prototype.emplace=function(t,e,r,n,i,a,o){var s=6*t;return this.int16[s+0]=e,this.int16[s+1]=r,this.int16[s+2]=n,this.int16[s+3]=i,this.int16[s+4]=a,this.int16[s+5]=o,t},e}(Qi);ha.prototype.bytesPerElement=12,oi("StructArrayLayout2i2i2i12",ha);var pa=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.float32=new Float32Array(this.arrayBuffer),this.int16=new Int16Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r,n,i){var a=this.length;return this.resize(a+1),this.emplace(a,t,e,r,n,i)},e.prototype.emplace=function(t,e,r,n,i,a){var o=4*t,s=8*t;return this.float32[o+0]=e,this.float32[o+1]=r,this.float32[o+2]=n,this.int16[s+6]=i,this.int16[s+7]=a,t},e}(Qi);pa.prototype.bytesPerElement=16,oi("StructArrayLayout2f1f2i16",pa);var da=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.float32=new Float32Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r,n){var i=this.length;return this.resize(i+1),this.emplace(i,t,e,r,n)},e.prototype.emplace=function(t,e,r,n,i){var a=12*t,o=3*t;return this.uint8[a+0]=e,this.uint8[a+1]=r,this.float32[o+1]=n,this.float32[o+2]=i,t},e}(Qi);da.prototype.bytesPerElement=12,oi("StructArrayLayout2ub2f12",da);var va=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.uint16=new Uint16Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r){var n=this.length;return this.resize(n+1),this.emplace(n,t,e,r)},e.prototype.emplace=function(t,e,r,n){var i=3*t;return this.uint16[i+0]=e,this.uint16[i+1]=r,this.uint16[i+2]=n,t},e}(Qi);va.prototype.bytesPerElement=6,oi("StructArrayLayout3ui6",va);var ga=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.int16=new Int16Array(this.arrayBuffer),this.uint16=new Uint16Array(this.arrayBuffer),this.uint32=new Uint32Array(this.arrayBuffer),this.float32=new Float32Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r,n,i,a,o,s,l,u,c,f,h,p,d,v,g){var y=this.length;return this.resize(y+1),this.emplace(y,t,e,r,n,i,a,o,s,l,u,c,f,h,p,d,v,g)},e.prototype.emplace=function(t,e,r,n,i,a,o,s,l,u,c,f,h,p,d,v,g,y){var m=24*t,x=12*t,b=48*t;return this.int16[m+0]=e,this.int16[m+1]=r,this.uint16[m+2]=n,this.uint16[m+3]=i,this.uint32[x+2]=a,this.uint32[x+3]=o,this.uint32[x+4]=s,this.uint16[m+10]=l,this.uint16[m+11]=u,this.uint16[m+12]=c,this.float32[x+7]=f,this.float32[x+8]=h,this.uint8[b+36]=p,this.uint8[b+37]=d,this.uint8[b+38]=v,this.uint32[x+10]=g,this.int16[m+22]=y,t},e}(Qi);ga.prototype.bytesPerElement=48,oi("StructArrayLayout2i2ui3ul3ui2f3ub1ul1i48",ga);var ya=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.int16=new Int16Array(this.arrayBuffer),this.uint16=new Uint16Array(this.arrayBuffer),this.uint32=new Uint32Array(this.arrayBuffer),this.float32=new Float32Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r,n,i,a,o,s,l,u,c,f,h,p,d,v,g,y,m,x,b,_,w,T,k,A,M,S){var E=this.length;return this.resize(E+1),this.emplace(E,t,e,r,n,i,a,o,s,l,u,c,f,h,p,d,v,g,y,m,x,b,_,w,T,k,A,M,S)},e.prototype.emplace=function(t,e,r,n,i,a,o,s,l,u,c,f,h,p,d,v,g,y,m,x,b,_,w,T,k,A,M,S,E){var L=34*t,C=17*t;return this.int16[L+0]=e,this.int16[L+1]=r,this.int16[L+2]=n,this.int16[L+3]=i,this.int16[L+4]=a,this.int16[L+5]=o,this.int16[L+6]=s,this.int16[L+7]=l,this.uint16[L+8]=u,this.uint16[L+9]=c,this.uint16[L+10]=f,this.uint16[L+11]=h,this.uint16[L+12]=p,this.uint16[L+13]=d,this.uint16[L+14]=v,this.uint16[L+15]=g,this.uint16[L+16]=y,this.uint16[L+17]=m,this.uint16[L+18]=x,this.uint16[L+19]=b,this.uint16[L+20]=_,this.uint16[L+21]=w,this.uint16[L+22]=T,this.uint32[C+12]=k,this.float32[C+13]=A,this.float32[C+14]=M,this.float32[C+15]=S,this.float32[C+16]=E,t},e}(Qi);ya.prototype.bytesPerElement=68,oi("StructArrayLayout8i15ui1ul4f68",ya);var ma=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.float32=new Float32Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t){var e=this.length;return this.resize(e+1),this.emplace(e,t)},e.prototype.emplace=function(t,e){var r=1*t;return this.float32[r+0]=e,t},e}(Qi);ma.prototype.bytesPerElement=4,oi("StructArrayLayout1f4",ma);var xa=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.int16=new Int16Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r){var n=this.length;return this.resize(n+1),this.emplace(n,t,e,r)},e.prototype.emplace=function(t,e,r,n){var i=3*t;return this.int16[i+0]=e,this.int16[i+1]=r,this.int16[i+2]=n,t},e}(Qi);xa.prototype.bytesPerElement=6,oi("StructArrayLayout3i6",xa);var ba=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.uint32=new Uint32Array(this.arrayBuffer),this.uint16=new Uint16Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r){var n=this.length;return this.resize(n+1),this.emplace(n,t,e,r)},e.prototype.emplace=function(t,e,r,n){var i=2*t,a=4*t;return this.uint32[i+0]=e,this.uint16[a+2]=r,this.uint16[a+3]=n,t},e}(Qi);ba.prototype.bytesPerElement=8,oi("StructArrayLayout1ul2ui8",ba);var _a=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.uint16=new Uint16Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e){var r=this.length;return this.resize(r+1),this.emplace(r,t,e)},e.prototype.emplace=function(t,e,r){var n=2*t;return this.uint16[n+0]=e,this.uint16[n+1]=r,t},e}(Qi);_a.prototype.bytesPerElement=4,oi("StructArrayLayout2ui4",_a);var wa=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.uint16=new Uint16Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t){var e=this.length;return this.resize(e+1),this.emplace(e,t)},e.prototype.emplace=function(t,e){var r=1*t;return this.uint16[r+0]=e,t},e}(Qi);wa.prototype.bytesPerElement=2,oi("StructArrayLayout1ui2",wa);var Ta=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.float32=new Float32Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r,n){var i=this.length;return this.resize(i+1),this.emplace(i,t,e,r,n)},e.prototype.emplace=function(t,e,r,n,i){var a=4*t;return this.float32[a+0]=e,this.float32[a+1]=r,this.float32[a+2]=n,this.float32[a+3]=i,t},e}(Qi);Ta.prototype.bytesPerElement=16,oi("StructArrayLayout4f16",Ta);var ka=function(t){function e(){t.apply(this,arguments)}t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e;var r={anchorPointX:{configurable:!0},anchorPointY:{configurable:!0},x1:{configurable:!0},y1:{configurable:!0},x2:{configurable:!0},y2:{configurable:!0},featureIndex:{configurable:!0},sourceLayerIndex:{configurable:!0},bucketIndex:{configurable:!0},anchorPoint:{configurable:!0}};return r.anchorPointX.get=function(){return this._structArray.int16[this._pos2+0]},r.anchorPointY.get=function(){return this._structArray.int16[this._pos2+1]},r.x1.get=function(){return this._structArray.int16[this._pos2+2]},r.y1.get=function(){return this._structArray.int16[this._pos2+3]},r.x2.get=function(){return this._structArray.int16[this._pos2+4]},r.y2.get=function(){return this._structArray.int16[this._pos2+5]},r.featureIndex.get=function(){return this._structArray.uint32[this._pos4+3]},r.sourceLayerIndex.get=function(){return this._structArray.uint16[this._pos2+8]},r.bucketIndex.get=function(){return this._structArray.uint16[this._pos2+9]},r.anchorPoint.get=function(){return new a(this.anchorPointX,this.anchorPointY)},Object.defineProperties(e.prototype,r),e}($i);ka.prototype.size=20;var Aa=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.get=function(t){return new ka(this,t)},e}(fa);oi("CollisionBoxArray",Aa);var Ma=function(t){function e(){t.apply(this,arguments)}t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e;var r={anchorX:{configurable:!0},anchorY:{configurable:!0},glyphStartIndex:{configurable:!0},numGlyphs:{configurable:!0},vertexStartIndex:{configurable:!0},lineStartIndex:{configurable:!0},lineLength:{configurable:!0},segment:{configurable:!0},lowerSize:{configurable:!0},upperSize:{configurable:!0},lineOffsetX:{configurable:!0},lineOffsetY:{configurable:!0},writingMode:{configurable:!0},placedOrientation:{configurable:!0},hidden:{configurable:!0},crossTileID:{configurable:!0},associatedIconIndex:{configurable:!0}};return r.anchorX.get=function(){return this._structArray.int16[this._pos2+0]},r.anchorY.get=function(){return this._structArray.int16[this._pos2+1]},r.glyphStartIndex.get=function(){return this._structArray.uint16[this._pos2+2]},r.numGlyphs.get=function(){return this._structArray.uint16[this._pos2+3]},r.vertexStartIndex.get=function(){return this._structArray.uint32[this._pos4+2]},r.lineStartIndex.get=function(){return this._structArray.uint32[this._pos4+3]},r.lineLength.get=function(){return this._structArray.uint32[this._pos4+4]},r.segment.get=function(){return this._structArray.uint16[this._pos2+10]},r.lowerSize.get=function(){return this._structArray.uint16[this._pos2+11]},r.upperSize.get=function(){return this._structArray.uint16[this._pos2+12]},r.lineOffsetX.get=function(){return this._structArray.float32[this._pos4+7]},r.lineOffsetY.get=function(){return this._structArray.float32[this._pos4+8]},r.writingMode.get=function(){return this._structArray.uint8[this._pos1+36]},r.placedOrientation.get=function(){return this._structArray.uint8[this._pos1+37]},r.placedOrientation.set=function(t){this._structArray.uint8[this._pos1+37]=t},r.hidden.get=function(){return this._structArray.uint8[this._pos1+38]},r.hidden.set=function(t){this._structArray.uint8[this._pos1+38]=t},r.crossTileID.get=function(){return this._structArray.uint32[this._pos4+10]},r.crossTileID.set=function(t){this._structArray.uint32[this._pos4+10]=t},r.associatedIconIndex.get=function(){return this._structArray.int16[this._pos2+22]},Object.defineProperties(e.prototype,r),e}($i);Ma.prototype.size=48;var Sa=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.get=function(t){return new Ma(this,t)},e}(ga);oi("PlacedSymbolArray",Sa);var Ea=function(t){function e(){t.apply(this,arguments)}t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e;var r={anchorX:{configurable:!0},anchorY:{configurable:!0},rightJustifiedTextSymbolIndex:{configurable:!0},centerJustifiedTextSymbolIndex:{configurable:!0},leftJustifiedTextSymbolIndex:{configurable:!0},verticalPlacedTextSymbolIndex:{configurable:!0},placedIconSymbolIndex:{configurable:!0},verticalPlacedIconSymbolIndex:{configurable:!0},key:{configurable:!0},textBoxStartIndex:{configurable:!0},textBoxEndIndex:{configurable:!0},verticalTextBoxStartIndex:{configurable:!0},verticalTextBoxEndIndex:{configurable:!0},iconBoxStartIndex:{configurable:!0},iconBoxEndIndex:{configurable:!0},verticalIconBoxStartIndex:{configurable:!0},verticalIconBoxEndIndex:{configurable:!0},featureIndex:{configurable:!0},numHorizontalGlyphVertices:{configurable:!0},numVerticalGlyphVertices:{configurable:!0},numIconVertices:{configurable:!0},numVerticalIconVertices:{configurable:!0},useRuntimeCollisionCircles:{configurable:!0},crossTileID:{configurable:!0},textBoxScale:{configurable:!0},textOffset0:{configurable:!0},textOffset1:{configurable:!0},collisionCircleDiameter:{configurable:!0}};return 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L=Uu(h,y,v),C=Uu(p,m,g),P=0;P0&&(d=Math.max(10,d),this.circleDiameter=d)}else{var v=o.top*s-l,g=o.bottom*s+l,y=o.left*s-l,m=o.right*s+l,x=o.collisionPadding;if(x&&(y-=x[0]*s,v-=x[1]*s,m+=x[2]*s,g+=x[3]*s),c){var b=new a(y,v),_=new a(m,v),w=new a(y,g),T=new a(m,g),k=c*Math.PI/180;b._rotate(k),_._rotate(k),w._rotate(k),T._rotate(k),y=Math.min(b.x,_.x,w.x,T.x),m=Math.max(b.x,_.x,w.x,T.x),v=Math.min(b.y,_.y,w.y,T.y),g=Math.max(b.y,_.y,w.y,T.y)}t.emplaceBack(e.x,e.y,y,v,m,g,r,n,i)}this.boxEndIndex=t.length},Gu=function(t,e){if(void 0===t&&(t=[]),void 0===e&&(e=Wu),this.data=t,this.length=this.data.length,this.compare=e,this.length>0)for(var r=(this.length>>1)-1;r>=0;r--)this._down(r)};function Wu(t,e){return te?1:0}function Yu(t,e,r){void 0===e&&(e=1),void 0===r&&(r=!1);for(var n=1/0,i=1/0,o=-1/0,s=-1/0,l=t[0],u=0;uo)&&(o=c.x),(!u||c.y>s)&&(s=c.y)}var f=o-n,h=s-i,p=Math.min(f,h),d=p/2,v=new Gu([],Xu);if(0===p)return new a(n,i);for(var g=n;gm.d||!m.d)&&(m=b,r&&console.log("found best %d 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i=t-1>>1,a=e[i];if(r(n,a)>=0)break;e[t]=a,t=i}e[t]=n},Gu.prototype._down=function(t){for(var e=this.data,r=this.compare,n=this.length>>1,i=e[t];t=0)break;e[t]=o,t=a}e[t]=i};var Ku=7,Ju=Number.POSITIVE_INFINITY;function $u(t,e){return e[1]!==Ju?function(t,e,r){var n=0,i=0;switch(e=Math.abs(e),r=Math.abs(r),t){case"top-right":case"top-left":case"top":i=r-Ku;break;case"bottom-right":case"bottom-left":case"bottom":i=-r+Ku}switch(t){case"top-right":case"bottom-right":case"right":n=-e;break;case"top-left":case"bottom-left":case"left":n=e}return[n,i]}(t,e[0],e[1]):function(t,e){var r=0,n=0;e<0&&(e=0);var i=e/Math.sqrt(2);switch(t){case"top-right":case"top-left":n=i-Ku;break;case"bottom-right":case"bottom-left":n=-i+Ku;break;case"bottom":n=-e+Ku;break;case"top":n=e-Ku}switch(t){case"top-right":case"bottom-right":r=-i;break;case"top-left":case"bottom-left":r=i;break;case"left":r=e;break;case"right":r=-e}return[r,n]}(t,e[0])}function Qu(t){switch(t){case"right":case"top-right":case"bottom-right":return"right";case"left":case"top-left":case"bottom-left":return"left"}return"center"}var tc=255,ec=tc*Au;function rc(t,e,r,n,i,o,s,l,u,c,f,h,p,d,v){var g=function(t,e,r,n,i,o,s,l){for(var u=n.layout.get("text-rotate").evaluate(o,{})*Math.PI/180,c=[],f=0,h=e.positionedLines;fec&&k(t.layerIds[0]+': Value for "text-size" is >= '+tc+'. 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this.hasDebugData()&&this.iconCollisionBox.segments.get().length>0},hc.prototype.addIndicesForPlacedSymbol=function(t,e){for(var r=t.placedSymbolArray.get(e),n=r.vertexStartIndex+4*r.numGlyphs,i=r.vertexStartIndex;i1||this.icon.segments.get().length>1)){this.symbolInstanceIndexes=this.getSortedSymbolIndexes(t),this.sortedAngle=t,this.text.indexArray.clear(),this.icon.indexArray.clear(),this.featureSortOrder=[];for(var 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qi(Ft.layout_symbol["symbol-z-order"]),"icon-allow-overlap":new qi(Ft.layout_symbol["icon-allow-overlap"]),"icon-ignore-placement":new qi(Ft.layout_symbol["icon-ignore-placement"]),"icon-optional":new qi(Ft.layout_symbol["icon-optional"]),"icon-rotation-alignment":new qi(Ft.layout_symbol["icon-rotation-alignment"]),"icon-size":new Hi(Ft.layout_symbol["icon-size"]),"icon-text-fit":new qi(Ft.layout_symbol["icon-text-fit"]),"icon-text-fit-padding":new qi(Ft.layout_symbol["icon-text-fit-padding"]),"icon-image":new Hi(Ft.layout_symbol["icon-image"]),"icon-rotate":new Hi(Ft.layout_symbol["icon-rotate"]),"icon-padding":new qi(Ft.layout_symbol["icon-padding"]),"icon-keep-upright":new qi(Ft.layout_symbol["icon-keep-upright"]),"icon-offset":new Hi(Ft.layout_symbol["icon-offset"]),"icon-anchor":new Hi(Ft.layout_symbol["icon-anchor"]),"icon-pitch-alignment":new qi(Ft.layout_symbol["icon-pitch-alignment"]),"text-pitch-alignment":new qi(Ft.layout_symbol["text-pitch-alignment"]),"text-rotation-alignment":new qi(Ft.layout_symbol["text-rotation-alignment"]),"text-field":new Hi(Ft.layout_symbol["text-field"]),"text-font":new Hi(Ft.layout_symbol["text-font"]),"text-size":new Hi(Ft.layout_symbol["text-size"]),"text-max-width":new Hi(Ft.layout_symbol["text-max-width"]),"text-line-height":new qi(Ft.layout_symbol["text-line-height"]),"text-letter-spacing":new Hi(Ft.layout_symbol["text-letter-spacing"]),"text-justify":new Hi(Ft.layout_symbol["text-justify"]),"text-radial-offset":new Hi(Ft.layout_symbol["text-radial-offset"]),"text-variable-anchor":new qi(Ft.layout_symbol["text-variable-anchor"]),"text-anchor":new Hi(Ft.layout_symbol["text-anchor"]),"text-max-angle":new qi(Ft.layout_symbol["text-max-angle"]),"text-writing-mode":new qi(Ft.layout_symbol["text-writing-mode"]),"text-rotate":new Hi(Ft.layout_symbol["text-rotate"]),"text-padding":new qi(Ft.layout_symbol["text-padding"]),"text-keep-upright":new qi(Ft.layout_symbol["text-keep-upright"]),"text-transform":new Hi(Ft.layout_symbol["text-transform"]),"text-offset":new Hi(Ft.layout_symbol["text-offset"]),"text-allow-overlap":new qi(Ft.layout_symbol["text-allow-overlap"]),"text-ignore-placement":new qi(Ft.layout_symbol["text-ignore-placement"]),"text-optional":new qi(Ft.layout_symbol["text-optional"])}),dc={paint:new Xi({"icon-opacity":new Hi(Ft.paint_symbol["icon-opacity"]),"icon-color":new Hi(Ft.paint_symbol["icon-color"]),"icon-halo-color":new Hi(Ft.paint_symbol["icon-halo-color"]),"icon-halo-width":new Hi(Ft.paint_symbol["icon-halo-width"]),"icon-halo-blur":new Hi(Ft.paint_symbol["icon-halo-blur"]),"icon-translate":new qi(Ft.paint_symbol["icon-translate"]),"icon-translate-anchor":new qi(Ft.paint_symbol["icon-translate-anchor"]),"text-opacity":new Hi(Ft.paint_symbol["text-opacity"]),"text-color":new Hi(Ft.paint_symbol["text-color"],{runtimeType:Zt,getOverride:function(t){return t.textColor},hasOverride:function(t){return!!t.textColor}}),"text-halo-color":new Hi(Ft.paint_symbol["text-halo-color"]),"text-halo-width":new Hi(Ft.paint_symbol["text-halo-width"]),"text-halo-blur":new Hi(Ft.paint_symbol["text-halo-blur"]),"text-translate":new qi(Ft.paint_symbol["text-translate"]),"text-translate-anchor":new qi(Ft.paint_symbol["text-translate-anchor"])}),layout:pc},vc=function(t){this.type=t.property.overrides?t.property.overrides.runtimeType:Gt,this.defaultValue=t};vc.prototype.evaluate=function(t){if(t.formattedSection){var e=this.defaultValue.property.overrides;if(e&&e.hasOverride(t.formattedSection))return e.getOverride(t.formattedSection)}return t.feature&&t.featureState?this.defaultValue.evaluate(t.feature,t.featureState):this.defaultValue.property.specification.default},vc.prototype.eachChild=function(t){this.defaultValue.isConstant()||t(this.defaultValue.value._styleExpression.expression)},vc.prototype.outputDefined=function(){return!1},vc.prototype.serialize=function(){return null},oi("FormatSectionOverride",vc,{omit:["defaultValue"]});var gc=function(t){function e(e){t.call(this,e,dc)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.recalculate=function(e,r){if(t.prototype.recalculate.call(this,e,r),"auto"===this.layout.get("icon-rotation-alignment")&&("point"!==this.layout.get("symbol-placement")?this.layout._values["icon-rotation-alignment"]="map":this.layout._values["icon-rotation-alignment"]="viewport"),"auto"===this.layout.get("text-rotation-alignment")&&("point"!==this.layout.get("symbol-placement")?this.layout._values["text-rotation-alignment"]="map":this.layout._values["text-rotation-alignment"]="viewport"),"auto"===this.layout.get("text-pitch-alignment")&&(this.layout._values["text-pitch-alignment"]=this.layout.get("text-rotation-alignment")),"auto"===this.layout.get("icon-pitch-alignment")&&(this.layout._values["icon-pitch-alignment"]=this.layout.get("icon-rotation-alignment")),"point"===this.layout.get("symbol-placement")){var n=this.layout.get("text-writing-mode");if(n){for(var i=[],a=0,o=n;a",targetMapId:n,sourceMapId:a.mapId})}}},Cc.prototype.receive=function(t){var e=t.data,r=e.id;if(r&&(!e.targetMapId||this.mapId===e.targetMapId))if(""===e.type){delete this.tasks[r];var n=this.cancelCallbacks[r];delete this.cancelCallbacks[r],n&&n()}else S()||e.mustQueue?(this.tasks[r]=e,this.taskQueue.push(r),this.invoker.trigger()):this.processTask(r,e)},Cc.prototype.process=function(){if(this.taskQueue.length){var t=this.taskQueue.shift(),e=this.tasks[t];delete this.tasks[t],this.taskQueue.length&&this.invoker.trigger(),e&&this.processTask(t,e)}},Cc.prototype.processTask=function(t,e){var r=this;if(""===e.type){var n=this.callbacks[t];delete this.callbacks[t],n&&(e.error?n(fi(e.error)):n(null,fi(e.data)))}else{var i=!1,a=C(this.globalScope)?void 0:[],o=e.hasCallback?function(e,n){i=!0,delete r.cancelCallbacks[t],r.target.postMessage({id:t,type:"",sourceMapId:r.mapId,error:e?ci(e):null,data:ci(n,a)},a)}:function(t){i=!0},s=null,l=fi(e.data);if(this.parent[e.type])s=this.parent[e.type](e.sourceMapId,l,o);else if(this.parent.getWorkerSource){var u=e.type.split(".");s=this.parent.getWorkerSource(e.sourceMapId,u[0],l.source)[u[1]](l,o)}else o(new Error("Could not find function "+e.type));!i&&s&&s.cancel&&(this.cancelCallbacks[t]=s.cancel)}},Cc.prototype.remove=function(){this.invoker.remove(),this.target.removeEventListener("message",this.receive,!1)};var Oc=function(t,e){t&&(e?this.setSouthWest(t).setNorthEast(e):4===t.length?this.setSouthWest([t[0],t[1]]).setNorthEast([t[2],t[3]]):this.setSouthWest(t[0]).setNorthEast(t[1]))};Oc.prototype.setNorthEast=function(t){return this._ne=t instanceof Dc?new Dc(t.lng,t.lat):Dc.convert(t),this},Oc.prototype.setSouthWest=function(t){return this._sw=t instanceof Dc?new Dc(t.lng,t.lat):Dc.convert(t),this},Oc.prototype.extend=function(t){var e,r,n=this._sw,i=this._ne;if(t instanceof Dc)e=t,r=t;else{if(!(t instanceof Oc)){if(Array.isArray(t)){if(4===t.length||t.every(Array.isArray)){var a=t;return this.extend(Oc.convert(a))}var o=t;return this.extend(Dc.convert(o))}return this}if(e=t._sw,r=t._ne,!e||!r)return this}return n||i?(n.lng=Math.min(e.lng,n.lng),n.lat=Math.min(e.lat,n.lat),i.lng=Math.max(r.lng,i.lng),i.lat=Math.max(r.lat,i.lat)):(this._sw=new Dc(e.lng,e.lat),this._ne=new Dc(r.lng,r.lat)),this},Oc.prototype.getCenter=function(){return new Dc((this._sw.lng+this._ne.lng)/2,(this._sw.lat+this._ne.lat)/2)},Oc.prototype.getSouthWest=function(){return this._sw},Oc.prototype.getNorthEast=function(){return this._ne},Oc.prototype.getNorthWest=function(){return new Dc(this.getWest(),this.getNorth())},Oc.prototype.getSouthEast=function(){return new Dc(this.getEast(),this.getSouth())},Oc.prototype.getWest=function(){return this._sw.lng},Oc.prototype.getSouth=function(){return this._sw.lat},Oc.prototype.getEast=function(){return this._ne.lng},Oc.prototype.getNorth=function(){return this._ne.lat},Oc.prototype.toArray=function(){return[this._sw.toArray(),this._ne.toArray()]},Oc.prototype.toString=function(){return"LngLatBounds("+this._sw.toString()+", "+this._ne.toString()+")"},Oc.prototype.isEmpty=function(){return!(this._sw&&this._ne)},Oc.prototype.contains=function(t){var e=Dc.convert(t),r=e.lng,n=e.lat,i=this._sw.lat<=n&&n<=this._ne.lat,a=this._sw.lng<=r&&r<=this._ne.lng;return this._sw.lng>this._ne.lng&&(a=this._sw.lng>=r&&r>=this._ne.lng),i&&a},Oc.convert=function(t){return!t||t instanceof Oc?t:new Oc(t)};var Ic=6371008.8,Dc=function(t,e){if(isNaN(t)||isNaN(e))throw new Error("Invalid LngLat object: ("+t+", "+e+")");if(this.lng=+t,this.lat=+e,this.lat>90||this.lat<-90)throw new Error("Invalid LngLat latitude value: must be between -90 and 90")};Dc.prototype.wrap=function(){return new Dc(h(this.lng,-180,180),this.lat)},Dc.prototype.toArray=function(){return[this.lng,this.lat]},Dc.prototype.toString=function(){return"LngLat("+this.lng+", "+this.lat+")"},Dc.prototype.distanceTo=function(t){var e=Math.PI/180,r=this.lat*e,n=t.lat*e,i=Math.sin(r)*Math.sin(n)+Math.cos(r)*Math.cos(n)*Math.cos((t.lng-this.lng)*e);return Ic*Math.acos(Math.min(i,1))},Dc.prototype.toBounds=function(t){void 0===t&&(t=0);var e=360*t/40075017,r=e/Math.cos(Math.PI/180*this.lat);return new Oc(new Dc(this.lng-r,this.lat-e),new Dc(this.lng+r,this.lat+e))},Dc.convert=function(t){if(t instanceof Dc)return t;if(Array.isArray(t)&&(2===t.length||3===t.length))return new Dc(Number(t[0]),Number(t[1]));if(!Array.isArray(t)&&"object"==typeof t&&null!==t)return new Dc(Number("lng"in t?t.lng:t.lon),Number(t.lat));throw new Error("`LngLatLike` argument must be specified as a LngLat instance, an object {lng: , lat: }, an object {lon: , lat: }, or an array of [, ]")};var zc=2*Math.PI*Ic;function Rc(t){return zc*Math.cos(t*Math.PI/180)}function Fc(t){return(180+t)/360}function Bc(t){return(180-180/Math.PI*Math.log(Math.tan(Math.PI/4+t*Math.PI/360)))/360}function Nc(t,e){return t/Rc(e)}function jc(t){var e=180-360*t;return 360/Math.PI*Math.atan(Math.exp(e*Math.PI/180))-90}var Uc=function(t,e,r){void 0===r&&(r=0),this.x=+t,this.y=+e,this.z=+r};Uc.fromLngLat=function(t,e){void 0===e&&(e=0);var r=Dc.convert(t);return new Uc(Fc(r.lng),Bc(r.lat),Nc(e,r.lat))},Uc.prototype.toLngLat=function(){return new Dc(360*this.x-180,jc(this.y))},Uc.prototype.toAltitude=function(){return t=this.z,e=this.y,t*Rc(jc(e));var t,e},Uc.prototype.meterInMercatorCoordinateUnits=function(){return 1/zc*(t=jc(this.y),1/Math.cos(t*Math.PI/180));var t};var Vc=function(t,e,r){this.z=t,this.x=e,this.y=r,this.key=Gc(0,t,t,e,r)};Vc.prototype.equals=function(t){return this.z===t.z&&this.x===t.x&&this.y===t.y},Vc.prototype.url=function(t,e){var r,n,i,a,o,s=(r=this.x,n=this.y,i=this.z,a=Pc(256*r,256*(n=Math.pow(2,i)-n-1),i),o=Pc(256*(r+1),256*(n+1),i),a[0]+","+a[1]+","+o[0]+","+o[1]),l=function(t,e,r){for(var n,i="",a=t;a>0;a--)i+=(e&(n=1<this.canonical.z?new Hc(t,this.wrap,this.canonical.z,this.canonical.x,this.canonical.y):new Hc(t,this.wrap,t,this.canonical.x>>e,this.canonical.y>>e)},Hc.prototype.calculateScaledKey=function(t,e){var r=this.canonical.z-t;return t>this.canonical.z?Gc(this.wrap*+e,t,this.canonical.z,this.canonical.x,this.canonical.y):Gc(this.wrap*+e,t,t,this.canonical.x>>r,this.canonical.y>>r)},Hc.prototype.isChildOf=function(t){if(t.wrap!==this.wrap)return!1;var e=this.canonical.z-t.canonical.z;return 0===t.overscaledZ||t.overscaledZ>e&&t.canonical.y===this.canonical.y>>e},Hc.prototype.children=function(t){if(this.overscaledZ>=t)return[new Hc(this.overscaledZ+1,this.wrap,this.canonical.z,this.canonical.x,this.canonical.y)];var e=this.canonical.z+1,r=2*this.canonical.x,n=2*this.canonical.y;return[new Hc(e,this.wrap,e,r,n),new Hc(e,this.wrap,e,r+1,n),new Hc(e,this.wrap,e,r,n+1),new Hc(e,this.wrap,e,r+1,n+1)]},Hc.prototype.isLessThan=function(t){return this.wrapt.wrap)&&(this.overscaledZt.overscaledZ)&&(this.canonical.xt.canonical.x)&&this.canonical.y=this.dim+1||e<-1||e>=this.dim+1)throw new RangeError("out of range source coordinates for DEM data");return(e+1)*this.stride+(t+1)},Wc.prototype._unpackMapbox=function(t,e,r){return(256*t*256+256*e+r)/10-1e4},Wc.prototype._unpackTerrarium=function(t,e,r){return 256*t+e+r/256-32768},Wc.prototype.getPixels=function(){return new $o({width:this.stride,height:this.stride},new Uint8Array(this.data.buffer))},Wc.prototype.backfillBorder=function(t,e,r){if(this.dim!==t.dim)throw new Error("dem dimension mismatch");var n=e*this.dim,i=e*this.dim+this.dim,a=r*this.dim,o=r*this.dim+this.dim;switch(e){case-1:n=i-1;break;case 1:i=n+1}switch(r){case-1:a=o-1;break;case 1:o=a+1}for(var s=-e*this.dim,l=-r*this.dim,u=a;u=0&&c[3]>=0&&s.insert(o,c[0],c[1],c[2],c[3])}},Jc.prototype.loadVTLayers=function(){return this.vtLayers||(this.vtLayers=new tl.VectorTile(new Ol(this.rawTileData)).layers,this.sourceLayerCoder=new Yc(this.vtLayers?Object.keys(this.vtLayers).sort():["_geojsonTileLayer"])),this.vtLayers},Jc.prototype.query=function(t,e,r,n){var i=this;this.loadVTLayers();for(var o=t.params||{},s=po/t.tileSize/t.scale,l=An(o.filter),u=t.queryGeometry,c=t.queryPadding*s,f=Qc(u),h=this.grid.query(f.minX-c,f.minY-c,f.maxX+c,f.maxY+c),p=Qc(t.cameraQueryGeometry),d=0,v=this.grid3D.query(p.minX-c,p.minY-c,p.maxX+c,p.maxY+c,(function(e,r,n,i){return function(t,e,r,n,i){for(var o=0,s=t;o=l.x&&i>=l.y)return!0}var u=[new a(e,r),new a(e,i),new a(n,i),new a(n,r)];if(t.length>2)for(var c=0,f=u;c=0)return!0;return!1}(a,f)){var h=this.sourceLayerCoder.decode(r),d=this.vtLayers[h].feature(n);if(i.needGeometry){var v=mo(d,!0);if(!i.filter(new Di(this.tileID.overscaledZ),v,this.tileID.canonical))return}else if(!i.filter(new Di(this.tileID.overscaledZ),d))return;for(var g=this.getId(d,h),y=0;yn)i=!1;else if(e)if(this.expirationTimeht&&(t.getActor().send("enforceCacheSizeLimit",ft),xt=0)},t.clamp=f,t.clearTileCache=function(t){var e=s.caches.delete(ct);t&&e.catch(t).then((function(){return t()}))},t.clipLine=Fu,t.clone=function(t){var e=new Fo(16);return e[0]=t[0],e[1]=t[1],e[2]=t[2],e[3]=t[3],e[4]=t[4],e[5]=t[5],e[6]=t[6],e[7]=t[7],e[8]=t[8],e[9]=t[9],e[10]=t[10],e[11]=t[11],e[12]=t[12],e[13]=t[13],e[14]=t[14],e[15]=t[15],e},t.clone$1=w,t.clone$2=function(t){var e=new Fo(3);return e[0]=t[0],e[1]=t[1],e[2]=t[2],e},t.collisionCircleLayout=Ml,t.config=j,t.create=function(){var t=new Fo(16);return Fo!=Float32Array&&(t[1]=0,t[2]=0,t[3]=0,t[4]=0,t[6]=0,t[7]=0,t[8]=0,t[9]=0,t[11]=0,t[12]=0,t[13]=0,t[14]=0),t[0]=1,t[5]=1,t[10]=1,t[15]=1,t},t.create$1=function(){var t=new Fo(9);return Fo!=Float32Array&&(t[1]=0,t[2]=0,t[3]=0,t[5]=0,t[6]=0,t[7]=0),t[0]=1,t[4]=1,t[8]=1,t},t.create$2=function(){var t=new Fo(4);return Fo!=Float32Array&&(t[1]=0,t[2]=0),t[0]=1,t[3]=1,t},t.createCommonjsModule=e,t.createExpression=fn,t.createLayout=ta,t.createStyleLayer=function(t){return"custom"===t.type?new _c(t):new wc[t.type](t)},t.cross=function(t,e,r){var n=e[0],i=e[1],a=e[2],o=r[0],s=r[1],l=r[2];return t[0]=i*l-a*s,t[1]=a*o-n*l,t[2]=n*s-i*o,t},t.deepEqual=function t(e,r){if(Array.isArray(e)){if(!Array.isArray(r)||e.length!==r.length)return!1;for(var n=0;n0&&(a=1/Math.sqrt(a)),t[0]=e[0]*a,t[1]=e[1]*a,t[2]=e[2]*a,t},t.number=er,t.offscreenCanvasSupported=bt,t.ortho=function(t,e,r,n,i,a,o){var s=1/(e-r),l=1/(n-i),u=1/(a-o);return t[0]=-2*s,t[1]=0,t[2]=0,t[3]=0,t[4]=0,t[5]=-2*l,t[6]=0,t[7]=0,t[8]=0,t[9]=0,t[10]=2*u,t[11]=0,t[12]=(e+r)*s,t[13]=(i+n)*l,t[14]=(o+a)*u,t[15]=1,t},t.parseGlyphPBF=function(t){return new Ol(t).readFields(Ql,[])},t.pbf=Ol,t.performSymbolLayout=function(t,e,r,n,i,a,o){t.createArrays();var s=512*t.overscaling;t.tilePixelRatio=po/s,t.compareText={},t.iconsNeedLinear=!1;var l=t.layers[0].layout,u=t.layers[0]._unevaluatedLayout._values,c={};if("composite"===t.textSizeData.kind){var f=t.textSizeData,h=f.minZoom,p=f.maxZoom;c.compositeTextSizes=[u["text-size"].possiblyEvaluate(new Di(h),o),u["text-size"].possiblyEvaluate(new Di(p),o)]}if("composite"===t.iconSizeData.kind){var d=t.iconSizeData,v=d.minZoom,g=d.maxZoom;c.compositeIconSizes=[u["icon-size"].possiblyEvaluate(new Di(v),o),u["icon-size"].possiblyEvaluate(new Di(g),o)]}c.layoutTextSize=u["text-size"].possiblyEvaluate(new Di(t.zoom+1),o),c.layoutIconSize=u["icon-size"].possiblyEvaluate(new Di(t.zoom+1),o),c.textMaxSize=u["text-size"].possiblyEvaluate(new Di(18));for(var y=l.get("text-line-height")*Ll,m="map"===l.get("text-rotation-alignment")&&"point"!==l.get("symbol-placement"),x=l.get("text-keep-upright"),b=l.get("text-size"),_=function(){var a=T[w],s=l.get("text-font").evaluate(a,{},o).join(","),u=b.evaluate(a,{},o),f=c.layoutTextSize.evaluate(a,{},o),h=c.layoutIconSize.evaluate(a,{},o),p={horizontal:{},vertical:void 0},d=a.text,v=[0,0];if(d){var g=d.toString(),_=l.get("text-letter-spacing").evaluate(a,{},o)*Ll,A=function(t){for(var e=0,r=t;e=po||f.y<0||f.y>=po||function(t,e,r,n,i,a,o,s,l,u,c,f,h,p,d,v,g,y,m,x,b,_,w,T,A){var M,S,E,L,C,P=t.addToLineVertexArray(e,r),O=0,I=0,D=0,z=0,R=-1,F=-1,B={},N=ja(""),j=0,U=0;if(void 0===s._unevaluatedLayout.getValue("text-radial-offset")?(j=(M=s.layout.get("text-offset").evaluate(b,{},T).map((function(t){return t*Ll})))[0],U=M[1]):(j=s.layout.get("text-radial-offset").evaluate(b,{},T)*Ll,U=Ju),t.allowVerticalPlacement&&n.vertical){var V=s.layout.get("text-rotate").evaluate(b,{},T)+90,q=n.vertical;L=new Hu(l,e,u,c,f,q,h,p,d,V),o&&(C=new Hu(l,e,u,c,f,o,g,y,d,V))}if(i){var H=s.layout.get("icon-rotate").evaluate(b,{}),G="none"!==s.layout.get("icon-text-fit"),W=Nu(i,H,w,G),Y=o?Nu(o,H,w,G):void 0;E=new Hu(l,e,u,c,f,i,g,y,!1,H),O=4*W.length;var X=t.iconSizeData,Z=null;"source"===X.kind?(Z=[Au*s.layout.get("icon-size").evaluate(b,{})])[0]>ec&&k(t.layerIds[0]+': Value for "icon-size" is >= '+tc+'. Reduce your "icon-size".'):"composite"===X.kind&&((Z=[Au*_.compositeIconSizes[0].evaluate(b,{},T),Au*_.compositeIconSizes[1].evaluate(b,{},T)])[0]>ec||Z[1]>ec)&&k(t.layerIds[0]+': Value for "icon-size" is >= '+tc+'. Reduce your "icon-size".'),t.addSymbols(t.icon,W,Z,x,m,b,!1,e,P.lineStartIndex,P.lineLength,-1,T),R=t.icon.placedSymbolArray.length-1,Y&&(I=4*Y.length,t.addSymbols(t.icon,Y,Z,x,m,b,lu.vertical,e,P.lineStartIndex,P.lineLength,-1,T),F=t.icon.placedSymbolArray.length-1)}for(var K in n.horizontal){var J=n.horizontal[K];if(!S){N=ja(J.text);var $=s.layout.get("text-rotate").evaluate(b,{},T);S=new Hu(l,e,u,c,f,J,h,p,d,$)}var Q=1===J.positionedLines.length;if(D+=rc(t,e,J,a,s,d,b,v,P,n.vertical?lu.horizontal:lu.horizontalOnly,Q?Object.keys(n.horizontal):[K],B,R,_,T),Q)break}n.vertical&&(z+=rc(t,e,n.vertical,a,s,d,b,v,P,lu.vertical,["vertical"],B,F,_,T));var tt=S?S.boxStartIndex:t.collisionBoxArray.length,et=S?S.boxEndIndex:t.collisionBoxArray.length,rt=L?L.boxStartIndex:t.collisionBoxArray.length,nt=L?L.boxEndIndex:t.collisionBoxArray.length,it=E?E.boxStartIndex:t.collisionBoxArray.length,at=E?E.boxEndIndex:t.collisionBoxArray.length,ot=C?C.boxStartIndex:t.collisionBoxArray.length,st=C?C.boxEndIndex:t.collisionBoxArray.length,lt=-1,ut=function(t,e){return t&&t.circleDiameter?Math.max(t.circleDiameter,e):e};lt=ut(S,lt),lt=ut(L,lt),lt=ut(E,lt);var ct=(lt=ut(C,lt))>-1?1:0;ct&&(lt*=A/Ll),t.glyphOffsetArray.length>=hc.MAX_GLYPHS&&k("Too many glyphs being rendered in a tile. See https://github.com/mapbox/mapbox-gl-js/issues/2907"),void 0!==b.sortKey&&t.addToSortKeyRanges(t.symbolInstances.length,b.sortKey),t.symbolInstances.emplaceBack(e.x,e.y,B.right>=0?B.right:-1,B.center>=0?B.center:-1,B.left>=0?B.left:-1,B.vertical||-1,R,F,N,tt,et,rt,nt,it,at,ot,st,u,D,z,O,I,ct,0,h,j,U,lt)}(t,f,s,r,n,i,h,t.layers[0],t.collisionBoxArray,e.index,e.sourceLayerIndex,t.index,m,w,M,l,b,T,S,d,e,a,u,c,o)};if("line"===E)for(var O=0,I=Fu(e.geometry,0,0,po,po);O1){var U=Du(j,A,r.vertical||v,n,g,x);U&&P(j,U)}}else if("Polygon"===e.type)for(var V=0,q=Fs(e.geometry,0);V=E.maxzoom||"none"!==E.visibility&&(o(S,this.zoom,n),(v[E.id]=E.createBucket({index:c.bucketLayerIDs.length,layers:S,zoom:this.zoom,pixelRatio:this.pixelRatio,overscaling:this.overscaling,collisionBoxArray:this.collisionBoxArray,sourceLayerIndex:b,sourceID:this.source})).populate(_,g,this.tileID.canonical),c.bucketLayerIDs.push(S.map((function(t){return t.id}))))}}}var L=t.mapObject(g.glyphDependencies,(function(t){return Object.keys(t).map(Number)}));Object.keys(L).length?a.send("getGlyphs",{uid:this.uid,stacks:L},(function(t,e){f||(f=t,h=e,O.call(l))})):h={};var C=Object.keys(g.iconDependencies);C.length?a.send("getImages",{icons:C,source:this.source,tileID:this.tileID,type:"icons"},(function(t,e){f||(f=t,p=e,O.call(l))})):p={};var P=Object.keys(g.patternDependencies);function O(){if(f)return s(f);if(h&&p&&d){var e=new i(h),r=new t.ImageAtlas(p,d);for(var a in v){var l=v[a];l instanceof t.SymbolBucket?(o(l.layers,this.zoom,n),t.performSymbolLayout(l,h,e.positions,p,r.iconPositions,this.showCollisionBoxes,this.tileID.canonical)):l.hasPattern&&(l instanceof t.LineBucket||l instanceof t.FillBucket||l instanceof t.FillExtrusionBucket)&&(o(l.layers,this.zoom,n),l.addFeatures(g,this.tileID.canonical,r.patternPositions))}this.status="done",s(null,{buckets:t.values(v).filter((function(t){return!t.isEmpty()})),featureIndex:c,collisionBoxArray:this.collisionBoxArray,glyphAtlasImage:e.image,imageAtlas:r,glyphMap:this.returnDependencies?h:null,iconMap:this.returnDependencies?p:null,glyphPositions:this.returnDependencies?e.positions:null})}}P.length?a.send("getImages",{icons:P,source:this.source,tileID:this.tileID,type:"patterns"},(function(t,e){f||(f=t,d=e,O.call(l))})):d={},O.call(this)};var l=function(t,e,r,n){this.actor=t,this.layerIndex=e,this.availableImages=r,this.loadVectorData=n||s,this.loading={},this.loaded={}};l.prototype.loadTile=function(e,r){var n=this,i=e.uid;this.loading||(this.loading={});var o=!!(e&&e.request&&e.request.collectResourceTiming)&&new t.RequestPerformance(e.request),s=this.loading[i]=new a(e);s.abort=this.loadVectorData(e,(function(e,a){if(delete n.loading[i],e||!a)return s.status="done",n.loaded[i]=s,r(e);var l=a.rawData,u={};a.expires&&(u.expires=a.expires),a.cacheControl&&(u.cacheControl=a.cacheControl);var c={};if(o){var f=o.finish();f&&(c.resourceTiming=JSON.parse(JSON.stringify(f)))}s.vectorTile=a.vectorTile,s.parse(a.vectorTile,n.layerIndex,n.availableImages,n.actor,(function(e,n){if(e||!n)return r(e);r(null,t.extend({rawTileData:l.slice(0)},n,u,c))})),n.loaded=n.loaded||{},n.loaded[i]=s}))},l.prototype.reloadTile=function(t,e){var r=this,n=this.loaded,i=t.uid,a=this;if(n&&n[i]){var o=n[i];o.showCollisionBoxes=t.showCollisionBoxes;var s=function(t,n){var i=o.reloadCallback;i&&(delete o.reloadCallback,o.parse(o.vectorTile,a.layerIndex,r.availableImages,a.actor,i)),e(t,n)};"parsing"===o.status?o.reloadCallback=s:"done"===o.status&&(o.vectorTile?o.parse(o.vectorTile,this.layerIndex,this.availableImages,this.actor,s):s())}},l.prototype.abortTile=function(t,e){var r=this.loading,n=t.uid;r&&r[n]&&r[n].abort&&(r[n].abort(),delete r[n]),e()},l.prototype.removeTile=function(t,e){var r=this.loaded,n=t.uid;r&&r[n]&&delete r[n],e()};var u=t.window.ImageBitmap,c=function(){this.loaded={}};c.prototype.loadTile=function(e,r){var n=e.uid,i=e.encoding,a=e.rawImageData,o=u&&a instanceof u?this.getImageData(a):a,s=new t.DEMData(n,o,i);this.loaded=this.loaded||{},this.loaded[n]=s,r(null,s)},c.prototype.getImageData=function(e){this.offscreenCanvas&&this.offscreenCanvasContext||(this.offscreenCanvas=new OffscreenCanvas(e.width,e.height),this.offscreenCanvasContext=this.offscreenCanvas.getContext("2d")),this.offscreenCanvas.width=e.width,this.offscreenCanvas.height=e.height,this.offscreenCanvasContext.drawImage(e,0,0,e.width,e.height);var r=this.offscreenCanvasContext.getImageData(-1,-1,e.width+2,e.height+2);return this.offscreenCanvasContext.clearRect(0,0,this.offscreenCanvas.width,this.offscreenCanvas.height),new t.RGBAImage({width:r.width,height:r.height},r.data)},c.prototype.removeTile=function(t){var e=this.loaded,r=t.uid;e&&e[r]&&delete e[r]};var f=function t(e,r){var n,i=e&&e.type;if("FeatureCollection"===i)for(n=0;n=0!=!!e&&t.reverse()}var d=t.vectorTile.VectorTileFeature.prototype.toGeoJSON,v=function(e){this._feature=e,this.extent=t.EXTENT,this.type=e.type,this.properties=e.tags,"id"in e&&!isNaN(e.id)&&(this.id=parseInt(e.id,10))};v.prototype.loadGeometry=function(){if(1===this._feature.type){for(var e=[],r=0,n=this._feature.geometry;r>31}function P(t,e){for(var r=t.loadGeometry(),n=t.type,i=0,a=0,o=r.length,s=0;s>1;D(t,e,o,n,i,a%2),I(t,e,r,n,o-1,a+1),I(t,e,r,o+1,i,a+1)}}function D(t,e,r,n,i,a){for(;i>n;){if(i-n>600){var o=i-n+1,s=r-n+1,l=Math.log(o),u=.5*Math.exp(2*l/3),c=.5*Math.sqrt(l*u*(o-u)/o)*(s-o/2<0?-1:1);D(t,e,r,Math.max(n,Math.floor(r-s*u/o+c)),Math.min(i,Math.floor(r+(o-s)*u/o+c)),a)}var f=e[2*r+a],h=n,p=i;for(z(t,e,n,r),e[2*i+a]>f&&z(t,e,n,i);hf;)p--}e[2*n+a]===f?z(t,e,n,p):z(t,e,++p,i),p<=r&&(n=p+1),r<=p&&(i=p-1)}}function z(t,e,r,n){R(t,r,n),R(e,2*r,2*n),R(e,2*r+1,2*n+1)}function R(t,e,r){var n=t[e];t[e]=t[r],t[r]=n}function F(t,e,r,n){var i=t-r,a=e-n;return i*i+a*a}_.fromVectorTileJs=w,_.fromGeojsonVt=T,_.GeoJSONWrapper=k;var B=function(t){return t[0]},N=function(t){return t[1]},j=function(t,e,r,n,i){void 0===e&&(e=B),void 0===r&&(r=N),void 0===n&&(n=64),void 0===i&&(i=Float64Array),this.nodeSize=n,this.points=t;for(var a=t.length<65536?Uint16Array:Uint32Array,o=this.ids=new a(t.length),s=this.coords=new i(2*t.length),l=0;l=r&&s<=i&&l>=n&&l<=a&&c.push(t[d]);else{var v=Math.floor((p+h)/2);s=e[2*v],l=e[2*v+1],s>=r&&s<=i&&l>=n&&l<=a&&c.push(t[v]);var g=(f+1)%2;(0===f?r<=s:n<=l)&&(u.push(p),u.push(v-1),u.push(g)),(0===f?i>=s:a>=l)&&(u.push(v+1),u.push(h),u.push(g))}}return c}(this.ids,this.coords,t,e,r,n,this.nodeSize)},j.prototype.within=function(t,e,r){return function(t,e,r,n,i,a){for(var o=[0,t.length-1,0],s=[],l=i*i;o.length;){var u=o.pop(),c=o.pop(),f=o.pop();if(c-f<=a)for(var h=f;h<=c;h++)F(e[2*h],e[2*h+1],r,n)<=l&&s.push(t[h]);else{var p=Math.floor((f+c)/2),d=e[2*p],v=e[2*p+1];F(d,v,r,n)<=l&&s.push(t[p]);var g=(u+1)%2;(0===u?r-i<=d:n-i<=v)&&(o.push(f),o.push(p-1),o.push(g)),(0===u?r+i>=d:n+i>=v)&&(o.push(p+1),o.push(c),o.push(g))}}return s}(this.ids,this.coords,t,e,r,this.nodeSize)};var U={minZoom:0,maxZoom:16,minPoints:2,radius:40,extent:512,nodeSize:64,log:!1,generateId:!1,reduce:null,map:function(t){return t}},V=function(t){this.options=Z(Object.create(U),t),this.trees=new Array(this.options.maxZoom+1)};function q(t,e,r,n,i){return{x:t,y:e,zoom:1/0,id:r,parentId:-1,numPoints:n,properties:i}}function H(t,e){var r=t.geometry.coordinates,n=r[0],i=r[1];return{x:Y(n),y:X(i),zoom:1/0,index:e,parentId:-1}}function G(t){return{type:"Feature",id:t.id,properties:W(t),geometry:{type:"Point",coordinates:[(n=t.x,360*(n-.5)),(e=t.y,r=(180-360*e)*Math.PI/180,360*Math.atan(Math.exp(r))/Math.PI-90)]}};var e,r,n}function W(t){var e=t.numPoints,r=e>=1e4?Math.round(e/1e3)+"k":e>=1e3?Math.round(e/100)/10+"k":e;return Z(Z({},t.properties),{cluster:!0,cluster_id:t.id,point_count:e,point_count_abbreviated:r})}function Y(t){return t/360+.5}function X(t){var e=Math.sin(t*Math.PI/180),r=.5-.25*Math.log((1+e)/(1-e))/Math.PI;return r<0?0:r>1?1:r}function Z(t,e){for(var r in e)t[r]=e[r];return t}function K(t){return t.x}function J(t){return t.y}function $(t,e,r,n){for(var i,a=n,o=r-e>>1,s=r-e,l=t[e],u=t[e+1],c=t[r],f=t[r+1],h=e+3;ha)i=h,a=p;else if(p===a){var d=Math.abs(h-o);dn&&(i-e>3&&$(t,e,i,n),t[i+2]=a,r-i>3&&$(t,i,r,n))}function Q(t,e,r,n,i,a){var o=i-r,s=a-n;if(0!==o||0!==s){var l=((t-r)*o+(e-n)*s)/(o*o+s*s);l>1?(r=i,n=a):l>0&&(r+=o*l,n+=s*l)}return(o=t-r)*o+(s=e-n)*s}function tt(t,e,r,n){var i={id:void 0===t?null:t,type:e,geometry:r,tags:n,minX:1/0,minY:1/0,maxX:-1/0,maxY:-1/0};return function(t){var e=t.geometry,r=t.type;if("Point"===r||"MultiPoint"===r||"LineString"===r)et(t,e);else if("Polygon"===r||"MultiLineString"===r)for(var n=0;n0&&(o+=n?(i*u-l*a)/2:Math.sqrt(Math.pow(l-i,2)+Math.pow(u-a,2))),i=l,a=u}var c=e.length-3;e[2]=1,$(e,0,c,r),e[c+2]=1,e.size=Math.abs(o),e.start=0,e.end=e.size}function at(t,e,r,n){for(var i=0;i1?1:r}function lt(t,e,r,n,i,a,o,s){if(n/=e,a>=(r/=e)&&o=n)return null;for(var l=[],u=0;u=r&&d=n)){var v=[];if("Point"===h||"MultiPoint"===h)ut(f,v,r,n,i);else if("LineString"===h)ct(f,v,r,n,i,!1,s.lineMetrics);else if("MultiLineString"===h)ht(f,v,r,n,i,!1);else if("Polygon"===h)ht(f,v,r,n,i,!0);else if("MultiPolygon"===h)for(var g=0;g=r&&o<=n&&(e.push(t[a]),e.push(t[a+1]),e.push(t[a+2]))}}function ct(t,e,r,n,i,a,o){for(var s,l,u=ft(t),c=0===i?dt:vt,f=t.start,h=0;hr&&(l=c(u,p,d,g,y,r),o&&(u.start=f+s*l)):m>n?x=r&&(l=c(u,p,d,g,y,r),b=!0),x>n&&m<=n&&(l=c(u,p,d,g,y,n),b=!0),!a&&b&&(o&&(u.end=f+s*l),e.push(u),u=ft(t)),o&&(f+=s)}var _=t.length-3;p=t[_],d=t[_+1],v=t[_+2],(m=0===i?p:d)>=r&&m<=n&&pt(u,p,d,v),_=u.length-3,a&&_>=3&&(u[_]!==u[0]||u[_+1]!==u[1])&&pt(u,u[0],u[1],u[2]),u.length&&e.push(u)}function ft(t){var e=[];return e.size=t.size,e.start=t.start,e.end=t.end,e}function ht(t,e,r,n,i,a){for(var o=0;oo.maxX&&(o.maxX=c),f>o.maxY&&(o.maxY=f)}return o}function _t(t,e,r,n){var i=e.geometry,a=e.type,o=[];if("Point"===a||"MultiPoint"===a)for(var s=0;s0&&e.size<(i?o:n))r.numPoints+=e.length/3;else{for(var s=[],l=0;lo)&&(r.numSimplified++,s.push(e[l]),s.push(e[l+1])),r.numPoints++;i&&function(t,e){for(var r=0,n=0,i=t.length,a=i-2;n0===e)for(n=0,i=t.length;n24)throw new Error("maxZoom should be in the 0-24 range");if(e.promoteId&&e.generateId)throw new Error("promoteId and generateId cannot be used together.");var n=function(t,e){var r=[];if("FeatureCollection"===t.type)for(var n=0;n=n;u--){var c=+Date.now();s=this._cluster(s,u),this.trees[u]=new j(s,K,J,a,Float32Array),r&&console.log("z%d: %d clusters in %dms",u,s.length,+Date.now()-c)}return r&&console.timeEnd("total time"),this},V.prototype.getClusters=function(t,e){var r=((t[0]+180)%360+360)%360-180,n=Math.max(-90,Math.min(90,t[1])),i=180===t[2]?180:((t[2]+180)%360+360)%360-180,a=Math.max(-90,Math.min(90,t[3]));if(t[2]-t[0]>=360)r=-180,i=180;else if(r>i){var o=this.getClusters([r,n,180,a],e),s=this.getClusters([-180,n,i,a],e);return o.concat(s)}for(var l=this.trees[this._limitZoom(e)],u=[],c=0,f=l.range(Y(r),X(a),Y(i),X(n));ce&&(d+=m.numPoints||1)}if(d>=s){for(var x=c.x*p,b=c.y*p,_=o&&p>1?this._map(c,!0):null,w=(u<<5)+(e+1)+this.points.length,T=0,k=h;T1)for(var E=0,L=h;E>5},V.prototype._getOriginZoom=function(t){return(t-this.points.length)%32},V.prototype._map=function(t,e){if(t.numPoints)return e?Z({},t.properties):t.properties;var r=this.points[t.index].properties,n=this.options.map(r);return e&&n===r?Z({},n):n},Tt.prototype.options={maxZoom:14,indexMaxZoom:5,indexMaxPoints:1e5,tolerance:3,extent:4096,buffer:64,lineMetrics:!1,promoteId:null,generateId:!1,debug:0},Tt.prototype.splitTile=function(t,e,r,n,i,a,o){for(var s=[t,e,r,n],l=this.options,u=l.debug;s.length;){n=s.pop(),r=s.pop(),e=s.pop(),t=s.pop();var c=1<1&&console.time("creation"),h=this.tiles[f]=bt(t,e,r,n,l),this.tileCoords.push({z:e,x:r,y:n}),u)){u>1&&(console.log("tile z%d-%d-%d (features: %d, points: %d, simplified: %d)",e,r,n,h.numFeatures,h.numPoints,h.numSimplified),console.timeEnd("creation"));var p="z"+e;this.stats[p]=(this.stats[p]||0)+1,this.total++}if(h.source=t,i){if(e===l.maxZoom||e===i)continue;var d=1<1&&console.time("clipping");var v,g,y,m,x,b,_=.5*l.buffer/l.extent,w=.5-_,T=.5+_,k=1+_;v=g=y=m=null,x=lt(t,c,r-_,r+T,0,h.minX,h.maxX,l),b=lt(t,c,r+w,r+k,0,h.minX,h.maxX,l),t=null,x&&(v=lt(x,c,n-_,n+T,1,h.minY,h.maxY,l),g=lt(x,c,n+w,n+k,1,h.minY,h.maxY,l),x=null),b&&(y=lt(b,c,n-_,n+T,1,h.minY,h.maxY,l),m=lt(b,c,n+w,n+k,1,h.minY,h.maxY,l),b=null),u>1&&console.timeEnd("clipping"),s.push(v||[],e+1,2*r,2*n),s.push(g||[],e+1,2*r,2*n+1),s.push(y||[],e+1,2*r+1,2*n),s.push(m||[],e+1,2*r+1,2*n+1)}}},Tt.prototype.getTile=function(t,e,r){var n=this.options,i=n.extent,a=n.debug;if(t<0||t>24)return null;var o=1<1&&console.log("drilling down to z%d-%d-%d",t,e,r);for(var l,u=t,c=e,f=r;!l&&u>0;)u--,c=Math.floor(c/2),f=Math.floor(f/2),l=this.tiles[kt(u,c,f)];return l&&l.source?(a>1&&console.log("found parent tile z%d-%d-%d",u,c,f),a>1&&console.time("drilling down"),this.splitTile(l.source,u,c,f,t,e,r),a>1&&console.timeEnd("drilling down"),this.tiles[s]?mt(this.tiles[s],i):null):null};var Mt=function(e){function r(t,r,n,i){e.call(this,t,r,n,At),i&&(this.loadGeoJSON=i)}return e&&(r.__proto__=e),r.prototype=Object.create(e&&e.prototype),r.prototype.constructor=r,r.prototype.loadData=function(t,e){this._pendingCallback&&this._pendingCallback(null,{abandoned:!0}),this._pendingCallback=e,this._pendingLoadDataParams=t,this._state&&"Idle"!==this._state?this._state="NeedsLoadData":(this._state="Coalescing",this._loadData())},r.prototype._loadData=function(){var e=this;if(this._pendingCallback&&this._pendingLoadDataParams){var r=this._pendingCallback,n=this._pendingLoadDataParams;delete this._pendingCallback,delete this._pendingLoadDataParams;var i=!!(n&&n.request&&n.request.collectResourceTiming)&&new t.RequestPerformance(n.request);this.loadGeoJSON(n,(function(a,o){if(a||!o)return r(a);if("object"!=typeof o)return r(new Error("Input data given to '"+n.source+"' is not a valid GeoJSON object."));f(o,!0);try{if(n.filter){var s=t.createExpression(n.filter,{type:"boolean","property-type":"data-driven",overridable:!1,transition:!1});if("error"===s.result)throw new Error(s.value.map((function(t){return t.key+": "+t.message})).join(", "));var l=o.features.filter((function(t){return s.value.evaluate({zoom:0},t)}));o={type:"FeatureCollection",features:l}}e._geoJSONIndex=n.cluster?new V(function(e){var r=e.superclusterOptions,n=e.clusterProperties;if(!n||!r)return r;for(var i={},a={},o={accumulated:null,zoom:0},s={properties:null},l=Object.keys(n),u=0,c=l;u=0?0:e.button},r.remove=function(t){t.parentNode&&t.parentNode.removeChild(t)};var h=function(e){function r(){e.call(this),this.images={},this.updatedImages={},this.callbackDispatchedThisFrame={},this.loaded=!1,this.requestors=[],this.patterns={},this.atlasImage=new t.RGBAImage({width:1,height:1}),this.dirty=!0}return e&&(r.__proto__=e),r.prototype=Object.create(e&&e.prototype),r.prototype.constructor=r,r.prototype.isLoaded=function(){return this.loaded},r.prototype.setLoaded=function(t){if(this.loaded!==t&&(this.loaded=t,t)){for(var e=0,r=this.requestors;e=0?1.2:1))}function y(t,e,r,n,i,a,o){for(var s=0;s65535)e(new Error("glyphs > 65535 not supported"));else if(a.ranges[s])e(null,{stack:r,id:i,glyph:o});else{var l=a.requests[s];l||(l=a.requests[s]=[],x.loadGlyphRange(r,s,n.url,n.requestManager,(function(t,e){if(e){for(var r in e)n._doesCharSupportLocalGlyph(+r)||(a.glyphs[+r]=e[+r]);a.ranges[s]=!0}for(var i=0,o=l;i1&&(l=t[++s]);var c=Math.abs(u-l.left),f=Math.abs(u-l.right),h=Math.min(c,f),p=void 0,d=i/r*(n+1);if(l.isDash){var v=n-Math.abs(d);p=Math.sqrt(h*h+v*v)}else p=n-Math.sqrt(h*h+d*d);this.data[o+u]=Math.max(0,Math.min(255,p+128))}},k.prototype.addRegularDash=function(t){for(var e=t.length-1;e>=0;--e){var r=t[e],n=t[e+1];r.zeroLength?t.splice(e,1):n&&n.isDash===r.isDash&&(n.left=r.left,t.splice(e,1))}var i=t[0],a=t[t.length-1];i.isDash===a.isDash&&(i.left=a.left-this.width,a.right=i.right+this.width);for(var o=this.width*this.nextRow,s=0,l=t[s],u=0;u1&&(l=t[++s]);var c=Math.abs(u-l.left),f=Math.abs(u-l.right),h=Math.min(c,f),p=l.isDash?h:-h;this.data[o+u]=Math.max(0,Math.min(255,p+128))}},k.prototype.addDash=function(e,r){var n=r?7:0,i=2*n+1;if(this.nextRow+i>this.height)return t.warnOnce("LineAtlas out of space"),null;for(var a=0,o=0;o=n&&e.x=i&&e.y0&&(l[new t.OverscaledTileID(e.overscaledZ,a,r.z,i,r.y-1).key]={backfilled:!1},l[new t.OverscaledTileID(e.overscaledZ,e.wrap,r.z,r.x,r.y-1).key]={backfilled:!1},l[new t.OverscaledTileID(e.overscaledZ,s,r.z,o,r.y-1).key]={backfilled:!1}),r.y+10&&(n.resourceTiming=e._resourceTiming,e._resourceTiming=[]),e.fire(new t.Event("data",n))}}))},r.prototype.onAdd=function(t){this.map=t,this.load()},r.prototype.setData=function(e){var r=this;return this._data=e,this.fire(new t.Event("dataloading",{dataType:"source"})),this._updateWorkerData((function(e){if(e)r.fire(new t.ErrorEvent(e));else{var n={dataType:"source",sourceDataType:"content"};r._collectResourceTiming&&r._resourceTiming&&r._resourceTiming.length>0&&(n.resourceTiming=r._resourceTiming,r._resourceTiming=[]),r.fire(new t.Event("data",n))}})),this},r.prototype.getClusterExpansionZoom=function(t,e){return this.actor.send("geojson.getClusterExpansionZoom",{clusterId:t,source:this.id},e),this},r.prototype.getClusterChildren=function(t,e){return this.actor.send("geojson.getClusterChildren",{clusterId:t,source:this.id},e),this},r.prototype.getClusterLeaves=function(t,e,r,n){return this.actor.send("geojson.getClusterLeaves",{source:this.id,clusterId:t,limit:e,offset:r},n),this},r.prototype._updateWorkerData=function(e){var r=this;this._loaded=!1;var n=t.extend({},this.workerOptions),i=this._data;"string"==typeof i?(n.request=this.map._requestManager.transformRequest(t.browser.resolveURL(i),t.ResourceType.Source),n.request.collectResourceTiming=this._collectResourceTiming):n.data=JSON.stringify(i),this.actor.send(this.type+".loadData",n,(function(t,i){r._removed||i&&i.abandoned||(r._loaded=!0,i&&i.resourceTiming&&i.resourceTiming[r.id]&&(r._resourceTiming=i.resourceTiming[r.id].slice(0)),r.actor.send(r.type+".coalesce",{source:n.source},null),e(t))}))},r.prototype.loaded=function(){return this._loaded},r.prototype.loadTile=function(e,r){var n=this,i=e.actor?"reloadTile":"loadTile";e.actor=this.actor;var a={type:this.type,uid:e.uid,tileID:e.tileID,zoom:e.tileID.overscaledZ,maxZoom:this.maxzoom,tileSize:this.tileSize,source:this.id,pixelRatio:t.browser.devicePixelRatio,showCollisionBoxes:this.map.showCollisionBoxes,promoteId:this.promoteId};e.request=this.actor.send(i,a,(function(t,a){return delete e.request,e.unloadVectorData(),e.aborted?r(null):t?r(t):(e.loadVectorData(a,n.map.painter,"reloadTile"===i),r(null))}))},r.prototype.abortTile=function(t){t.request&&(t.request.cancel(),delete t.request),t.aborted=!0},r.prototype.unloadTile=function(t){t.unloadVectorData(),this.actor.send("removeTile",{uid:t.uid,type:this.type,source:this.id})},r.prototype.onRemove=function(){this._removed=!0,this.actor.send("removeSource",{type:this.type,source:this.id})},r.prototype.serialize=function(){return t.extend({},this._options,{type:this.type,data:this._data})},r.prototype.hasTransition=function(){return!1},r}(t.Evented),O=t.createLayout([{name:"a_pos",type:"Int16",components:2},{name:"a_texture_pos",type:"Int16",components:2}]),I=function(e){function r(t,r,n,i){e.call(this),this.id=t,this.dispatcher=n,this.coordinates=r.coordinates,this.type="image",this.minzoom=0,this.maxzoom=22,this.tileSize=512,this.tiles={},this._loaded=!1,this.setEventedParent(i),this.options=r}return e&&(r.__proto__=e),r.prototype=Object.create(e&&e.prototype),r.prototype.constructor=r,r.prototype.load=function(e,r){var n=this;this._loaded=!1,this.fire(new t.Event("dataloading",{dataType:"source"})),this.url=this.options.url,t.getImage(this.map._requestManager.transformRequest(this.url,t.ResourceType.Image),(function(i,a){n._loaded=!0,i?n.fire(new t.ErrorEvent(i)):a&&(n.image=a,e&&(n.coordinates=e),r&&r(),n._finishLoading())}))},r.prototype.loaded=function(){return this._loaded},r.prototype.updateImage=function(t){var e=this;return this.image&&t.url?(this.options.url=t.url,this.load(t.coordinates,(function(){e.texture=null})),this):this},r.prototype._finishLoading=function(){this.map&&(this.setCoordinates(this.coordinates),this.fire(new t.Event("data",{dataType:"source",sourceDataType:"metadata"})))},r.prototype.onAdd=function(t){this.map=t,this.load()},r.prototype.setCoordinates=function(e){var r=this;this.coordinates=e;var n=e.map(t.MercatorCoordinate.fromLngLat);this.tileID=function(e){for(var r=1/0,n=1/0,i=-1/0,a=-1/0,o=0,s=e;or.end(0)?this.fire(new t.ErrorEvent(new t.ValidationError("sources."+this.id,null,"Playback for this video can be set only between the "+r.start(0)+" and "+r.end(0)+"-second mark."))):this.video.currentTime=e}},r.prototype.getVideo=function(){return this.video},r.prototype.onAdd=function(t){this.map||(this.map=t,this.load(),this.video&&(this.video.play(),this.setCoordinates(this.coordinates)))},r.prototype.prepare=function(){if(!(0===Object.keys(this.tiles).length||this.video.readyState<2)){var e=this.map.painter.context,r=e.gl;for(var n in this.boundsBuffer||(this.boundsBuffer=e.createVertexBuffer(this._boundsArray,O.members)),this.boundsSegments||(this.boundsSegments=t.SegmentVector.simpleSegment(0,0,4,2)),this.texture?this.video.paused||(this.texture.bind(r.LINEAR,r.CLAMP_TO_EDGE),r.texSubImage2D(r.TEXTURE_2D,0,0,0,r.RGBA,r.UNSIGNED_BYTE,this.video)):(this.texture=new t.Texture(e,this.video,r.RGBA),this.texture.bind(r.LINEAR,r.CLAMP_TO_EDGE)),this.tiles){var i=this.tiles[n];"loaded"!==i.state&&(i.state="loaded",i.texture=this.texture)}}},r.prototype.serialize=function(){return{type:"video",urls:this.urls,coordinates:this.coordinates}},r.prototype.hasTransition=function(){return this.video&&!this.video.paused},r}(I),z=function(e){function r(r,n,i,a){e.call(this,r,n,i,a),n.coordinates?Array.isArray(n.coordinates)&&4===n.coordinates.length&&!n.coordinates.some((function(t){return!Array.isArray(t)||2!==t.length||t.some((function(t){return"number"!=typeof t}))}))||this.fire(new t.ErrorEvent(new t.ValidationError("sources."+r,null,'"coordinates" property must be an array of 4 longitude/latitude array pairs'))):this.fire(new t.ErrorEvent(new t.ValidationError("sources."+r,null,'missing required property "coordinates"'))),n.animate&&"boolean"!=typeof n.animate&&this.fire(new t.ErrorEvent(new t.ValidationError("sources."+r,null,'optional "animate" property must be a boolean value'))),n.canvas?"string"==typeof n.canvas||n.canvas instanceof t.window.HTMLCanvasElement||this.fire(new t.ErrorEvent(new t.ValidationError("sources."+r,null,'"canvas" must be either a string representing the ID of the canvas element from which to read, or an HTMLCanvasElement instance'))):this.fire(new t.ErrorEvent(new t.ValidationError("sources."+r,null,'missing required property "canvas"'))),this.options=n,this.animate=void 0===n.animate||n.animate}return e&&(r.__proto__=e),r.prototype=Object.create(e&&e.prototype),r.prototype.constructor=r,r.prototype.load=function(){this._loaded=!0,this.canvas||(this.canvas=this.options.canvas instanceof t.window.HTMLCanvasElement?this.options.canvas:t.window.document.getElementById(this.options.canvas)),this.width=this.canvas.width,this.height=this.canvas.height,this._hasInvalidDimensions()?this.fire(new t.ErrorEvent(new Error("Canvas dimensions cannot be less than or equal to zero."))):(this.play=function(){this._playing=!0,this.map.triggerRepaint()},this.pause=function(){this._playing&&(this.prepare(),this._playing=!1)},this._finishLoading())},r.prototype.getCanvas=function(){return this.canvas},r.prototype.onAdd=function(t){this.map=t,this.load(),this.canvas&&this.animate&&this.play()},r.prototype.onRemove=function(){this.pause()},r.prototype.prepare=function(){var e=!1;if(this.canvas.width!==this.width&&(this.width=this.canvas.width,e=!0),this.canvas.height!==this.height&&(this.height=this.canvas.height,e=!0),!this._hasInvalidDimensions()&&0!==Object.keys(this.tiles).length){var r=this.map.painter.context,n=r.gl;for(var i in this.boundsBuffer||(this.boundsBuffer=r.createVertexBuffer(this._boundsArray,O.members)),this.boundsSegments||(this.boundsSegments=t.SegmentVector.simpleSegment(0,0,4,2)),this.texture?(e||this._playing)&&this.texture.update(this.canvas,{premultiply:!0}):this.texture=new t.Texture(r,this.canvas,n.RGBA,{premultiply:!0}),this.tiles){var a=this.tiles[i];"loaded"!==a.state&&(a.state="loaded",a.texture=this.texture)}}},r.prototype.serialize=function(){return{type:"canvas",coordinates:this.coordinates}},r.prototype.hasTransition=function(){return this._playing},r.prototype._hasInvalidDimensions=function(){for(var t=0,e=[this.canvas.width,this.canvas.height];tthis.max){var o=this._getAndRemoveByKey(this.order[0]);o&&this.onRemove(o)}return this},j.prototype.has=function(t){return t.wrapped().key in this.data},j.prototype.getAndRemove=function(t){return this.has(t)?this._getAndRemoveByKey(t.wrapped().key):null},j.prototype._getAndRemoveByKey=function(t){var e=this.data[t].shift();return e.timeout&&clearTimeout(e.timeout),0===this.data[t].length&&delete this.data[t],this.order.splice(this.order.indexOf(t),1),e.value},j.prototype.getByKey=function(t){var e=this.data[t];return e?e[0].value:null},j.prototype.get=function(t){return this.has(t)?this.data[t.wrapped().key][0].value:null},j.prototype.remove=function(t,e){if(!this.has(t))return this;var r=t.wrapped().key,n=void 0===e?0:this.data[r].indexOf(e),i=this.data[r][n];return this.data[r].splice(n,1),i.timeout&&clearTimeout(i.timeout),0===this.data[r].length&&delete this.data[r],this.onRemove(i.value),this.order.splice(this.order.indexOf(r),1),this},j.prototype.setMaxSize=function(t){for(this.max=t;this.order.length>this.max;){var e=this._getAndRemoveByKey(this.order[0]);e&&this.onRemove(e)}return this},j.prototype.filter=function(t){var e=[];for(var r in this.data)for(var n=0,i=this.data[r];n1||(Math.abs(r)>1&&(1===Math.abs(r+i)?r+=i:1===Math.abs(r-i)&&(r-=i)),e.dem&&t.dem&&(t.dem.backfillBorder(e.dem,r,n),t.neighboringTiles&&t.neighboringTiles[a]&&(t.neighboringTiles[a].backfilled=!0)))}},r.prototype.getTile=function(t){return this.getTileByID(t.key)},r.prototype.getTileByID=function(t){return this._tiles[t]},r.prototype._retainLoadedChildren=function(t,e,r,n){for(var i in this._tiles){var a=this._tiles[i];if(!(n[i]||!a.hasData()||a.tileID.overscaledZ<=e||a.tileID.overscaledZ>r)){for(var o=a.tileID;a&&a.tileID.overscaledZ>e+1;){var s=a.tileID.scaledTo(a.tileID.overscaledZ-1);(a=this._tiles[s.key])&&a.hasData()&&(o=s)}for(var l=o;l.overscaledZ>e;)if(t[(l=l.scaledTo(l.overscaledZ-1)).key]){n[o.key]=o;break}}}},r.prototype.findLoadedParent=function(t,e){if(t.key in this._loadedParentTiles){var r=this._loadedParentTiles[t.key];return r&&r.tileID.overscaledZ>=e?r:null}for(var n=t.overscaledZ-1;n>=e;n--){var i=t.scaledTo(n),a=this._getLoadedTile(i);if(a)return a}},r.prototype._getLoadedTile=function(t){var e=this._tiles[t.key];return e&&e.hasData()?e:this._cache.getByKey(t.wrapped().key)},r.prototype.updateCacheSize=function(t){var e=(Math.ceil(t.width/this._source.tileSize)+1)*(Math.ceil(t.height/this._source.tileSize)+1),r=Math.floor(5*e),n="number"==typeof this._maxTileCacheSize?Math.min(this._maxTileCacheSize,r):r;this._cache.setMaxSize(n)},r.prototype.handleWrapJump=function(t){var e=(t-(void 0===this._prevLng?t:this._prevLng))/360,r=Math.round(e);if(this._prevLng=t,r){var n={};for(var i in this._tiles){var a=this._tiles[i];a.tileID=a.tileID.unwrapTo(a.tileID.wrap+r),n[a.tileID.key]=a}for(var o in this._tiles=n,this._timers)clearTimeout(this._timers[o]),delete this._timers[o];for(var s in this._tiles){var l=this._tiles[s];this._setTileReloadTimer(s,l)}}},r.prototype.update=function(e){var n=this;if(this.transform=e,this._sourceLoaded&&!this._paused){var i;this.updateCacheSize(e),this.handleWrapJump(this.transform.center.lng),this._coveredTiles={},this.used?this._source.tileID?i=e.getVisibleUnwrappedCoordinates(this._source.tileID).map((function(e){return new t.OverscaledTileID(e.canonical.z,e.wrap,e.canonical.z,e.canonical.x,e.canonical.y)})):(i=e.coveringTiles({tileSize:this._source.tileSize,minzoom:this._source.minzoom,maxzoom:this._source.maxzoom,roundZoom:this._source.roundZoom,reparseOverscaled:this._source.reparseOverscaled}),this._source.hasTile&&(i=i.filter((function(t){return n._source.hasTile(t)})))):i=[];var a=e.coveringZoomLevel(this._source),o=Math.max(a-r.maxOverzooming,this._source.minzoom),s=Math.max(a+r.maxUnderzooming,this._source.minzoom),l=this._updateRetainedTiles(i,a);if(Dt(this._source.type)){for(var u={},c={},f=0,h=Object.keys(l);fthis._source.maxzoom){var g=d.children(this._source.maxzoom)[0],y=this.getTile(g);if(y&&y.hasData()){n[g.key]=g;continue}}else{var m=d.children(this._source.maxzoom);if(n[m[0].key]&&n[m[1].key]&&n[m[2].key]&&n[m[3].key])continue}for(var x=v.wasRequested(),b=d.overscaledZ-1;b>=a;--b){var _=d.scaledTo(b);if(i[_.key])break;if(i[_.key]=!0,!(v=this.getTile(_))&&x&&(v=this._addTile(_)),v&&(n[_.key]=_,x=v.wasRequested(),v.hasData()))break}}}return n},r.prototype._updateLoadedParentTileCache=function(){for(var t in this._loadedParentTiles={},this._tiles){for(var e=[],r=void 0,n=this._tiles[t].tileID;n.overscaledZ>0;){if(n.key in this._loadedParentTiles){r=this._loadedParentTiles[n.key];break}e.push(n.key);var i=n.scaledTo(n.overscaledZ-1);if(r=this._getLoadedTile(i))break;n=i}for(var a=0,o=e;a0||(e.hasData()&&"reloading"!==e.state?this._cache.add(e.tileID,e,e.getExpiryTimeout()):(e.aborted=!0,this._abortTile(e),this._unloadTile(e))))},r.prototype.clearTiles=function(){for(var t in this._shouldReloadOnResume=!1,this._paused=!1,this._tiles)this._removeTile(t);this._cache.reset()},r.prototype.tilesIn=function(e,r,n){var i=this,a=[],o=this.transform;if(!o)return a;for(var s=n?o.getCameraQueryGeometry(e):e,l=e.map((function(t){return o.pointCoordinate(t)})),u=s.map((function(t){return o.pointCoordinate(t)})),c=this.getIds(),f=1/0,h=1/0,p=-1/0,d=-1/0,v=0,g=u;v=0&&y[1].y+g>=0){var m=l.map((function(t){return s.getTilePoint(t)})),x=u.map((function(t){return s.getTilePoint(t)}));a.push({tile:n,tileID:s,queryGeometry:m,cameraQueryGeometry:x,scale:v})}}},x=0;x=t.browser.now())return!0}return!1},r.prototype.setFeatureState=function(t,e,r){t=t||"_geojsonTileLayer",this._state.updateState(t,e,r)},r.prototype.removeFeatureState=function(t,e,r){t=t||"_geojsonTileLayer",this._state.removeFeatureState(t,e,r)},r.prototype.getFeatureState=function(t,e){return t=t||"_geojsonTileLayer",this._state.getState(t,e)},r.prototype.setDependencies=function(t,e,r){var n=this._tiles[t];n&&n.setDependencies(e,r)},r.prototype.reloadTilesForDependencies=function(t,e){for(var r in this._tiles)this._tiles[r].hasDependency(t,e)&&this._reloadTile(r,"reloading");this._cache.filter((function(r){return!r.hasDependency(t,e)}))},r}(t.Evented);function It(t,e){var r=Math.abs(2*t.wrap)-+(t.wrap<0),n=Math.abs(2*e.wrap)-+(e.wrap<0);return t.overscaledZ-e.overscaledZ||n-r||e.canonical.y-t.canonical.y||e.canonical.x-t.canonical.x}function Dt(t){return"raster"===t||"image"===t||"video"===t}function zt(){return new t.window.Worker(oa.workerUrl)}Ot.maxOverzooming=10,Ot.maxUnderzooming=3;var Rt="mapboxgl_preloaded_worker_pool",Ft=function(){this.active={}};Ft.prototype.acquire=function(t){if(!this.workers)for(this.workers=[];this.workers.length0?(i-o)/s:0;return this.points[a].mult(1-l).add(this.points[r].mult(l))};var Qt=function(t,e,r){var n=this.boxCells=[],i=this.circleCells=[];this.xCellCount=Math.ceil(t/r),this.yCellCount=Math.ceil(e/r);for(var a=0;a=-e[0]&&r<=e[0]&&n>=-e[1]&&n<=e[1]}function ae(e,r,n,i,a,o,s,l){var u=i?e.textSizeData:e.iconSizeData,c=t.evaluateSizeForZoom(u,n.transform.zoom),f=[256/n.width*2+1,256/n.height*2+1],h=i?e.text.dynamicLayoutVertexArray:e.icon.dynamicLayoutVertexArray;h.clear();for(var p=e.lineVertexArray,d=i?e.text.placedSymbolArray:e.icon.placedSymbolArray,v=n.transform.width/n.transform.height,g=!1,y=0;yMath.abs(n.x-r.x)*i?{useVertical:!0}:(e===t.WritingMode.vertical?r.yn.x)?{needsFlipping:!0}:null}function le(e,r,n,i,a,o,s,l,u,c,f,h,p,d){var v,g=r/24,y=e.lineOffsetX*g,m=e.lineOffsetY*g;if(e.numGlyphs>1){var x=e.glyphStartIndex+e.numGlyphs,b=e.lineStartIndex,_=e.lineStartIndex+e.lineLength,w=oe(g,l,y,m,n,f,h,e,u,o,p);if(!w)return{notEnoughRoom:!0};var T=re(w.first.point,s).point,k=re(w.last.point,s).point;if(i&&!n){var A=se(e.writingMode,T,k,d);if(A)return A}v=[w.first];for(var M=e.glyphStartIndex+1;M0?C.point:ue(h,L,S,1,a),O=se(e.writingMode,S,P,d);if(O)return O}var I=ce(g*l.getoffsetX(e.glyphStartIndex),y,m,n,f,h,e.segment,e.lineStartIndex,e.lineStartIndex+e.lineLength,u,o,p);if(!I)return{notEnoughRoom:!0};v=[I]}for(var D=0,z=v;D0?1:-1,v=0;i&&(d*=-1,v=Math.PI),d<0&&(v+=Math.PI);for(var g=d>0?l+s:l+s+1,y=a,m=a,x=0,b=0,_=Math.abs(p),w=[];x+b<=_;){if((g+=d)=u)return null;if(m=y,w.push(y),void 0===(y=h[g])){var T=new t.Point(c.getx(g),c.gety(g)),k=re(T,f);if(k.signedDistanceFromCamera>0)y=h[g]=k.point;else{var A=g-d;y=ue(0===x?o:new t.Point(c.getx(A),c.gety(A)),T,m,_-x+1,f)}}x+=b,b=m.dist(y)}var M=(_-x)/b,S=y.sub(m),E=S.mult(M)._add(m);E._add(S._unit()._perp()._mult(n*d));var L=v+Math.atan2(y.y-m.y,y.x-m.x);return w.push(E),{point:E,angle:L,path:w}}Qt.prototype.keysLength=function(){return this.boxKeys.length+this.circleKeys.length},Qt.prototype.insert=function(t,e,r,n,i){this._forEachCell(e,r,n,i,this._insertBoxCell,this.boxUid++),this.boxKeys.push(t),this.bboxes.push(e),this.bboxes.push(r),this.bboxes.push(n),this.bboxes.push(i)},Qt.prototype.insertCircle=function(t,e,r,n){this._forEachCell(e-n,r-n,e+n,r+n,this._insertCircleCell,this.circleUid++),this.circleKeys.push(t),this.circles.push(e),this.circles.push(r),this.circles.push(n)},Qt.prototype._insertBoxCell=function(t,e,r,n,i,a){this.boxCells[i].push(a)},Qt.prototype._insertCircleCell=function(t,e,r,n,i,a){this.circleCells[i].push(a)},Qt.prototype._query=function(t,e,r,n,i,a){if(r<0||t>this.width||n<0||e>this.height)return!i&&[];var o=[];if(t<=0&&e<=0&&this.width<=r&&this.height<=n){if(i)return!0;for(var s=0;s0:o},Qt.prototype._queryCircle=function(t,e,r,n,i){var a=t-r,o=t+r,s=e-r,l=e+r;if(o<0||a>this.width||l<0||s>this.height)return!n&&[];var u=[],c={hitTest:n,circle:{x:t,y:e,radius:r},seenUids:{box:{},circle:{}}};return this._forEachCell(a,s,o,l,this._queryCellCircle,u,c,i),n?u.length>0:u},Qt.prototype.query=function(t,e,r,n,i){return this._query(t,e,r,n,!1,i)},Qt.prototype.hitTest=function(t,e,r,n,i){return this._query(t,e,r,n,!0,i)},Qt.prototype.hitTestCircle=function(t,e,r,n){return this._queryCircle(t,e,r,!0,n)},Qt.prototype._queryCell=function(t,e,r,n,i,a,o,s){var l=o.seenUids,u=this.boxCells[i];if(null!==u)for(var c=this.bboxes,f=0,h=u;f=c[d+0]&&n>=c[d+1]&&(!s||s(this.boxKeys[p]))){if(o.hitTest)return a.push(!0),!0;a.push({key:this.boxKeys[p],x1:c[d],y1:c[d+1],x2:c[d+2],y2:c[d+3]})}}}var v=this.circleCells[i];if(null!==v)for(var g=this.circles,y=0,m=v;yo*o+s*s},Qt.prototype._circleAndRectCollide=function(t,e,r,n,i,a,o){var s=(a-n)/2,l=Math.abs(t-(n+s));if(l>s+r)return!1;var u=(o-i)/2,c=Math.abs(e-(i+u));if(c>u+r)return!1;if(l<=s||c<=u)return!0;var f=l-s,h=c-u;return f*f+h*h<=r*r};var fe=new Float32Array([-1/0,-1/0,0,-1/0,-1/0,0,-1/0,-1/0,0,-1/0,-1/0,0]);function he(t,e){for(var r=0;r=1;P--)C.push(E.path[P]);for(var O=1;O0){for(var R=C[0].clone(),F=C[0].clone(),B=1;B=A.x&&F.x<=M.x&&R.y>=A.y&&F.y<=M.y?[C]:F.xM.x||F.yM.y?[]:t.clipLine([C],A.x,A.y,M.x,M.y)}for(var N=0,j=z;N=this.screenRightBoundary||nthis.screenBottomBoundary},ve.prototype.isInsideGrid=function(t,e,r,n){return r>=0&&t=0&&e0?(this.prevPlacement&&this.prevPlacement.variableOffsets[f.crossTileID]&&this.prevPlacement.placements[f.crossTileID]&&this.prevPlacement.placements[f.crossTileID].text&&(v=this.prevPlacement.variableOffsets[f.crossTileID].anchor),this.variableOffsets[f.crossTileID]={textOffset:g,width:r,height:n,anchor:t,textBoxScale:i,prevAnchor:v},this.markUsedJustification(h,t,f,p),h.allowVerticalPlacement&&(this.markUsedOrientation(h,p,f),this.placedOrientations[f.crossTileID]=p),{shift:y,placedGlyphBoxes:m}):void 0},Ae.prototype.placeLayerBucketPart=function(e,r,n){var i=this,a=e.parameters,o=a.bucket,s=a.layout,l=a.posMatrix,u=a.textLabelPlaneMatrix,c=a.labelToScreenMatrix,f=a.textPixelRatio,h=a.holdingForFade,p=a.collisionBoxArray,d=a.partiallyEvaluatedTextSize,v=a.collisionGroup,g=s.get("text-optional"),y=s.get("icon-optional"),m=s.get("text-allow-overlap"),x=s.get("icon-allow-overlap"),b="map"===s.get("text-rotation-alignment"),_="map"===s.get("text-pitch-alignment"),w="none"!==s.get("icon-text-fit"),T="viewport-y"===s.get("symbol-z-order"),k=m&&(x||!o.hasIconData()||y),A=x&&(m||!o.hasTextData()||g);!o.collisionArrays&&p&&o.deserializeCollisionBoxes(p);var M=function(e,a){if(!r[e.crossTileID])if(h)i.placements[e.crossTileID]=new xe(!1,!1,!1);else{var p,T=!1,M=!1,S=!0,E=null,L={box:null,offscreen:null},C={box:null,offscreen:null},P=null,O=null,I=0,D=0,z=0;a.textFeatureIndex?I=a.textFeatureIndex:e.useRuntimeCollisionCircles&&(I=e.featureIndex),a.verticalTextFeatureIndex&&(D=a.verticalTextFeatureIndex);var R=a.textBox;if(R){var F=function(r){var n=t.WritingMode.horizontal;if(o.allowVerticalPlacement&&!r&&i.prevPlacement){var a=i.prevPlacement.placedOrientations[e.crossTileID];a&&(i.placedOrientations[e.crossTileID]=a,n=a,i.markUsedOrientation(o,n,e))}return n},B=function(r,n){if(o.allowVerticalPlacement&&e.numVerticalGlyphVertices>0&&a.verticalTextBox)for(var i=0,s=o.writingModes;i0&&(N=N.filter((function(t){return t!==j.anchor}))).unshift(j.anchor)}var U=function(t,r,n){for(var a=t.x2-t.x1,s=t.y2-t.y1,u=e.textBoxScale,c=w&&!x?r:null,h={box:[],offscreen:!1},p=m?2*N.length:N.length,d=0;d=N.length,k=i.attemptAnchorPlacement(g,t,a,s,u,b,_,f,l,v,y,e,o,n,c);if(k&&(h=k.placedGlyphBoxes)&&h.box&&h.box.length){T=!0,E=k.shift;break}}return h};B((function(){return U(R,a.iconBox,t.WritingMode.horizontal)}),(function(){var r=a.verticalTextBox,n=L&&L.box&&L.box.length;return o.allowVerticalPlacement&&!n&&e.numVerticalGlyphVertices>0&&r?U(r,a.verticalIconBox,t.WritingMode.vertical):{box:null,offscreen:null}})),L&&(T=L.box,S=L.offscreen);var V=F(L&&L.box);if(!T&&i.prevPlacement){var q=i.prevPlacement.variableOffsets[e.crossTileID];q&&(i.variableOffsets[e.crossTileID]=q,i.markUsedJustification(o,q.anchor,e,V))}}else{var H=function(t,r){var n=i.collisionIndex.placeCollisionBox(t,m,f,l,v.predicate);return n&&n.box&&n.box.length&&(i.markUsedOrientation(o,r,e),i.placedOrientations[e.crossTileID]=r),n};B((function(){return H(R,t.WritingMode.horizontal)}),(function(){var r=a.verticalTextBox;return o.allowVerticalPlacement&&e.numVerticalGlyphVertices>0&&r?H(r,t.WritingMode.vertical):{box:null,offscreen:null}})),F(L&&L.box&&L.box.length)}}if(T=(p=L)&&p.box&&p.box.length>0,S=p&&p.offscreen,e.useRuntimeCollisionCircles){var G=o.text.placedSymbolArray.get(e.centerJustifiedTextSymbolIndex),W=t.evaluateSizeForFeature(o.textSizeData,d,G),Y=s.get("text-padding"),X=e.collisionCircleDiameter;P=i.collisionIndex.placeCollisionCircles(m,G,o.lineVertexArray,o.glyphOffsetArray,W,l,u,c,n,_,v.predicate,X,Y),T=m||P.circles.length>0&&!P.collisionDetected,S=S&&P.offscreen}if(a.iconFeatureIndex&&(z=a.iconFeatureIndex),a.iconBox){var Z=function(t){var e=w&&E?ke(t,E.x,E.y,b,_,i.transform.angle):t;return i.collisionIndex.placeCollisionBox(e,x,f,l,v.predicate)};M=C&&C.box&&C.box.length&&a.verticalIconBox?(O=Z(a.verticalIconBox)).box.length>0:(O=Z(a.iconBox)).box.length>0,S=S&&O.offscreen}var K=g||0===e.numHorizontalGlyphVertices&&0===e.numVerticalGlyphVertices,J=y||0===e.numIconVertices;if(K||J?J?K||(M=M&&T):T=M&&T:M=T=M&&T,T&&p&&p.box&&(C&&C.box&&D?i.collisionIndex.insertCollisionBox(p.box,s.get("text-ignore-placement"),o.bucketInstanceId,D,v.ID):i.collisionIndex.insertCollisionBox(p.box,s.get("text-ignore-placement"),o.bucketInstanceId,I,v.ID)),M&&O&&i.collisionIndex.insertCollisionBox(O.box,s.get("icon-ignore-placement"),o.bucketInstanceId,z,v.ID),P&&(T&&i.collisionIndex.insertCollisionCircles(P.circles,s.get("text-ignore-placement"),o.bucketInstanceId,I,v.ID),n)){var $=o.bucketInstanceId,Q=i.collisionCircleArrays[$];void 0===Q&&(Q=i.collisionCircleArrays[$]=new be);for(var tt=0;tt=0;--E){var L=S[E];M(o.symbolInstances.get(L),o.collisionArrays[L])}else for(var C=e.symbolInstanceStart;C=0&&(e.text.placedSymbolArray.get(u).crossTileID=a>=0&&u!==a?0:n.crossTileID)}},Ae.prototype.markUsedOrientation=function(e,r,n){for(var i=r===t.WritingMode.horizontal||r===t.WritingMode.horizontalOnly?r:0,a=r===t.WritingMode.vertical?r:0,o=0,s=[n.leftJustifiedTextSymbolIndex,n.centerJustifiedTextSymbolIndex,n.rightJustifiedTextSymbolIndex];o0||l>0,x=a.numIconVertices>0,b=i.placedOrientations[a.crossTileID],_=b===t.WritingMode.vertical,w=b===t.WritingMode.horizontal||b===t.WritingMode.horizontalOnly;if(m){var T=De(y.text),k=_?ze:T;d(e.text,s,k);var A=w?ze:T;d(e.text,l,A);var M=y.text.isHidden();[a.rightJustifiedTextSymbolIndex,a.centerJustifiedTextSymbolIndex,a.leftJustifiedTextSymbolIndex].forEach((function(t){t>=0&&(e.text.placedSymbolArray.get(t).hidden=M||_?1:0)})),a.verticalPlacedTextSymbolIndex>=0&&(e.text.placedSymbolArray.get(a.verticalPlacedTextSymbolIndex).hidden=M||w?1:0);var S=i.variableOffsets[a.crossTileID];S&&i.markUsedJustification(e,S.anchor,a,b);var E=i.placedOrientations[a.crossTileID];E&&(i.markUsedJustification(e,"left",a,E),i.markUsedOrientation(e,E,a))}if(x){var L=De(y.icon),C=!(h&&a.verticalPlacedIconSymbolIndex&&_);if(a.placedIconSymbolIndex>=0){var P=C?L:ze;d(e.icon,a.numIconVertices,P),e.icon.placedSymbolArray.get(a.placedIconSymbolIndex).hidden=y.icon.isHidden()}if(a.verticalPlacedIconSymbolIndex>=0){var O=C?ze:L;d(e.icon,a.numVerticalIconVertices,O),e.icon.placedSymbolArray.get(a.verticalPlacedIconSymbolIndex).hidden=y.icon.isHidden()}}if(e.hasIconCollisionBoxData()||e.hasTextCollisionBoxData()){var I=e.collisionArrays[n];if(I){var D=new t.Point(0,0);if(I.textBox||I.verticalTextBox){var z=!0;if(u){var R=i.variableOffsets[v];R?(D=Te(R.anchor,R.width,R.height,R.textOffset,R.textBoxScale),c&&D._rotate(f?i.transform.angle:-i.transform.angle)):z=!1}I.textBox&&Me(e.textCollisionBox.collisionVertexArray,y.text.placed,!z||_,D.x,D.y),I.verticalTextBox&&Me(e.textCollisionBox.collisionVertexArray,y.text.placed,!z||w,D.x,D.y)}var F=Boolean(!w&&I.verticalIconBox);I.iconBox&&Me(e.iconCollisionBox.collisionVertexArray,y.icon.placed,F,h?D.x:0,h?D.y:0),I.verticalIconBox&&Me(e.iconCollisionBox.collisionVertexArray,y.icon.placed,!F,h?D.x:0,h?D.y:0)}}},g=0;gt},Ae.prototype.setStale=function(){this.stale=!0};var Se=Math.pow(2,25),Ee=Math.pow(2,24),Le=Math.pow(2,17),Ce=Math.pow(2,16),Pe=Math.pow(2,9),Oe=Math.pow(2,8),Ie=Math.pow(2,1);function De(t){if(0===t.opacity&&!t.placed)return 0;if(1===t.opacity&&t.placed)return 4294967295;var e=t.placed?1:0,r=Math.floor(127*t.opacity);return r*Se+e*Ee+r*Le+e*Ce+r*Pe+e*Oe+r*Ie+e}var ze=0,Re=function(t){this._sortAcrossTiles="viewport-y"!==t.layout.get("symbol-z-order")&&void 0!==t.layout.get("symbol-sort-key").constantOr(1),this._currentTileIndex=0,this._currentPartIndex=0,this._seenCrossTileIDs={},this._bucketParts=[]};Re.prototype.continuePlacement=function(t,e,r,n,i){for(var a=this._bucketParts;this._currentTileIndex2};this._currentPlacementIndex>=0;){var s=r[e[this._currentPlacementIndex]],l=this.placement.collisionIndex.transform.zoom;if("symbol"===s.type&&(!s.minzoom||s.minzoom<=l)&&(!s.maxzoom||s.maxzoom>l)){if(this._inProgressLayer||(this._inProgressLayer=new Re(s)),this._inProgressLayer.continuePlacement(n[s.source],this.placement,this._showCollisionBoxes,s,o))return;delete this._inProgressLayer}this._currentPlacementIndex--}this._done=!0},Fe.prototype.commit=function(t){return this.placement.commit(t),this.placement};var Be=512/t.EXTENT/2,Ne=function(t,e,r){this.tileID=t,this.indexedSymbolInstances={},this.bucketInstanceId=r;for(var n=0;nt.overscaledZ)for(var s in o){var l=o[s];l.tileID.isChildOf(t)&&l.findMatches(e.symbolInstances,t,i)}else{var u=o[t.scaledTo(Number(a)).key];u&&u.findMatches(e.symbolInstances,t,i)}}for(var c=0;c1?"@2x":"",l=t.getJSON(r.transformRequest(r.normalizeSpriteURL(e,s,".json"),t.ResourceType.SpriteJSON),(function(t,e){l=null,o||(o=t,i=e,c())})),u=t.getImage(r.transformRequest(r.normalizeSpriteURL(e,s,".png"),t.ResourceType.SpriteImage),(function(t,e){u=null,o||(o=t,a=e,c())}));function c(){if(o)n(o);else if(i&&a){var e=t.browser.getImageData(a),r={};for(var s in i){var l=i[s],u=l.width,c=l.height,f=l.x,h=l.y,p=l.sdf,d=l.pixelRatio,v=l.stretchX,g=l.stretchY,y=l.content,m=new t.RGBAImage({width:u,height:c});t.RGBAImage.copy(e,m,{x:f,y:h},{x:0,y:0},{width:u,height:c}),r[s]={data:m,pixelRatio:d,sdf:p,stretchX:v,stretchY:g,content:y}}n(null,r)}}return{cancel:function(){l&&(l.cancel(),l=null),u&&(u.cancel(),u=null)}}}(e,this.map._requestManager,(function(e,n){if(r._spriteRequest=null,e)r.fire(new t.ErrorEvent(e));else if(n)for(var i in n)r.imageManager.addImage(i,n[i]);r.imageManager.setLoaded(!0),r._availableImages=r.imageManager.listImages(),r.dispatcher.broadcast("setImages",r._availableImages),r.fire(new t.Event("data",{dataType:"style"}))}))},r.prototype._validateLayer=function(e){var r=this.sourceCaches[e.source];if(r){var n=e.sourceLayer;if(n){var i=r.getSource();("geojson"===i.type||i.vectorLayerIds&&-1===i.vectorLayerIds.indexOf(n))&&this.fire(new t.ErrorEvent(new Error('Source layer "'+n+'" does not exist on source "'+i.id+'" as specified by style layer "'+e.id+'"')))}}},r.prototype.loaded=function(){if(!this._loaded)return!1;if(Object.keys(this._updatedSources).length)return!1;for(var t in this.sourceCaches)if(!this.sourceCaches[t].loaded())return!1;return!!this.imageManager.isLoaded()},r.prototype._serializeLayers=function(t){for(var e=[],r=0,n=t;r0)throw new Error("Unimplemented: "+i.map((function(t){return t.command})).join(", ")+".");return n.forEach((function(t){"setTransition"!==t.command&&r[t.command].apply(r,t.args)})),this.stylesheet=e,!0},r.prototype.addImage=function(e,r){if(this.getImage(e))return this.fire(new t.ErrorEvent(new Error("An image with this name already exists.")));this.imageManager.addImage(e,r),this._afterImageUpdated(e)},r.prototype.updateImage=function(t,e){this.imageManager.updateImage(t,e)},r.prototype.getImage=function(t){return this.imageManager.getImage(t)},r.prototype.removeImage=function(e){if(!this.getImage(e))return this.fire(new t.ErrorEvent(new Error("No image with this name exists.")));this.imageManager.removeImage(e),this._afterImageUpdated(e)},r.prototype._afterImageUpdated=function(e){this._availableImages=this.imageManager.listImages(),this._changedImages[e]=!0,this._changed=!0,this.dispatcher.broadcast("setImages",this._availableImages),this.fire(new t.Event("data",{dataType:"style"}))},r.prototype.listImages=function(){return this._checkLoaded(),this.imageManager.listImages()},r.prototype.addSource=function(e,r,n){var i=this;if(void 0===n&&(n={}),this._checkLoaded(),void 0!==this.sourceCaches[e])throw new Error("There is already a source with this ID");if(!r.type)throw new Error("The type property must be defined, but only the following properties were given: "+Object.keys(r).join(", ")+".");if(!(["vector","raster","geojson","video","image"].indexOf(r.type)>=0&&this._validate(t.validateStyle.source,"sources."+e,r,null,n))){this.map&&this.map._collectResourceTiming&&(r.collectResourceTiming=!0);var a=this.sourceCaches[e]=new Ot(e,r,this.dispatcher);a.style=this,a.setEventedParent(this,(function(){return{isSourceLoaded:i.loaded(),source:a.serialize(),sourceId:e}})),a.onAdd(this.map),this._changed=!0}},r.prototype.removeSource=function(e){if(this._checkLoaded(),void 0===this.sourceCaches[e])throw new Error("There is no source with this ID");for(var r in this._layers)if(this._layers[r].source===e)return this.fire(new t.ErrorEvent(new Error('Source "'+e+'" cannot be removed while layer "'+r+'" is using it.')));var n=this.sourceCaches[e];delete this.sourceCaches[e],delete this._updatedSources[e],n.fire(new t.Event("data",{sourceDataType:"metadata",dataType:"source",sourceId:e})),n.setEventedParent(null),n.clearTiles(),n.onRemove&&n.onRemove(this.map),this._changed=!0},r.prototype.setGeoJSONSourceData=function(t,e){this._checkLoaded(),this.sourceCaches[t].getSource().setData(e),this._changed=!0},r.prototype.getSource=function(t){return this.sourceCaches[t]&&this.sourceCaches[t].getSource()},r.prototype.addLayer=function(e,r,n){void 0===n&&(n={}),this._checkLoaded();var i=e.id;if(this.getLayer(i))this.fire(new t.ErrorEvent(new Error('Layer with id "'+i+'" already exists on this map')));else{var a;if("custom"===e.type){if(qe(this,t.validateCustomStyleLayer(e)))return;a=t.createStyleLayer(e)}else{if("object"==typeof e.source&&(this.addSource(i,e.source),e=t.clone$1(e),e=t.extend(e,{source:i})),this._validate(t.validateStyle.layer,"layers."+i,e,{arrayIndex:-1},n))return;a=t.createStyleLayer(e),this._validateLayer(a),a.setEventedParent(this,{layer:{id:i}}),this._serializedLayers[a.id]=a.serialize()}var o=r?this._order.indexOf(r):this._order.length;if(r&&-1===o)this.fire(new t.ErrorEvent(new Error('Layer with id "'+r+'" does not exist on this map.')));else{if(this._order.splice(o,0,i),this._layerOrderChanged=!0,this._layers[i]=a,this._removedLayers[i]&&a.source&&"custom"!==a.type){var s=this._removedLayers[i];delete this._removedLayers[i],s.type!==a.type?this._updatedSources[a.source]="clear":(this._updatedSources[a.source]="reload",this.sourceCaches[a.source].pause())}this._updateLayer(a),a.onAdd&&a.onAdd(this.map)}}},r.prototype.moveLayer=function(e,r){if(this._checkLoaded(),this._changed=!0,this._layers[e]){if(e!==r){var n=this._order.indexOf(e);this._order.splice(n,1);var i=r?this._order.indexOf(r):this._order.length;r&&-1===i?this.fire(new t.ErrorEvent(new Error('Layer with id "'+r+'" does not exist on this map.'))):(this._order.splice(i,0,e),this._layerOrderChanged=!0)}}else this.fire(new t.ErrorEvent(new Error("The layer '"+e+"' does not exist in the map's style and cannot be moved.")))},r.prototype.removeLayer=function(e){this._checkLoaded();var r=this._layers[e];if(r){r.setEventedParent(null);var n=this._order.indexOf(e);this._order.splice(n,1),this._layerOrderChanged=!0,this._changed=!0,this._removedLayers[e]=r,delete this._layers[e],delete this._serializedLayers[e],delete this._updatedLayers[e],delete this._updatedPaintProps[e],r.onRemove&&r.onRemove(this.map)}else this.fire(new t.ErrorEvent(new Error("The layer '"+e+"' does not exist in the map's style and cannot be removed.")))},r.prototype.getLayer=function(t){return this._layers[t]},r.prototype.hasLayer=function(t){return t in this._layers},r.prototype.setLayerZoomRange=function(e,r,n){this._checkLoaded();var i=this.getLayer(e);i?i.minzoom===r&&i.maxzoom===n||(null!=r&&(i.minzoom=r),null!=n&&(i.maxzoom=n),this._updateLayer(i)):this.fire(new t.ErrorEvent(new Error("The layer '"+e+"' does not exist in the map's style and cannot have zoom extent.")))},r.prototype.setFilter=function(e,r,n){void 0===n&&(n={}),this._checkLoaded();var i=this.getLayer(e);if(i){if(!t.deepEqual(i.filter,r))return null==r?(i.filter=void 0,void this._updateLayer(i)):void(this._validate(t.validateStyle.filter,"layers."+i.id+".filter",r,null,n)||(i.filter=t.clone$1(r),this._updateLayer(i)))}else this.fire(new t.ErrorEvent(new Error("The layer '"+e+"' does not exist in the map's style and cannot be filtered.")))},r.prototype.getFilter=function(e){return t.clone$1(this.getLayer(e).filter)},r.prototype.setLayoutProperty=function(e,r,n,i){void 0===i&&(i={}),this._checkLoaded();var a=this.getLayer(e);a?t.deepEqual(a.getLayoutProperty(r),n)||(a.setLayoutProperty(r,n,i),this._updateLayer(a)):this.fire(new t.ErrorEvent(new Error("The layer '"+e+"' does not exist in the map's style and cannot be styled.")))},r.prototype.getLayoutProperty=function(e,r){var n=this.getLayer(e);if(n)return n.getLayoutProperty(r);this.fire(new t.ErrorEvent(new Error("The layer '"+e+"' does not exist in the map's style.")))},r.prototype.setPaintProperty=function(e,r,n,i){void 0===i&&(i={}),this._checkLoaded();var a=this.getLayer(e);a?t.deepEqual(a.getPaintProperty(r),n)||(a.setPaintProperty(r,n,i)&&this._updateLayer(a),this._changed=!0,this._updatedPaintProps[e]=!0):this.fire(new t.ErrorEvent(new Error("The layer '"+e+"' does not exist in the map's style and cannot be styled.")))},r.prototype.getPaintProperty=function(t,e){return this.getLayer(t).getPaintProperty(e)},r.prototype.setFeatureState=function(e,r){this._checkLoaded();var n=e.source,i=e.sourceLayer,a=this.sourceCaches[n];if(void 0!==a){var o=a.getSource().type;"geojson"===o&&i?this.fire(new t.ErrorEvent(new Error("GeoJSON sources cannot have a sourceLayer parameter."))):"vector"!==o||i?(void 0===e.id&&this.fire(new t.ErrorEvent(new Error("The feature id parameter must be provided."))),a.setFeatureState(i,e.id,r)):this.fire(new t.ErrorEvent(new Error("The sourceLayer parameter must be provided for vector source types.")))}else this.fire(new t.ErrorEvent(new Error("The source '"+n+"' does not exist in the map's style.")))},r.prototype.removeFeatureState=function(e,r){this._checkLoaded();var n=e.source,i=this.sourceCaches[n];if(void 0!==i){var a=i.getSource().type,o="vector"===a?e.sourceLayer:void 0;"vector"!==a||o?r&&"string"!=typeof e.id&&"number"!=typeof e.id?this.fire(new t.ErrorEvent(new Error("A feature id is required to remove its specific state property."))):i.removeFeatureState(o,e.id,r):this.fire(new t.ErrorEvent(new Error("The sourceLayer parameter must be provided for vector source types.")))}else this.fire(new t.ErrorEvent(new Error("The source '"+n+"' does not exist in the map's style.")))},r.prototype.getFeatureState=function(e){this._checkLoaded();var r=e.source,n=e.sourceLayer,i=this.sourceCaches[r];if(void 0!==i){if("vector"!==i.getSource().type||n)return void 0===e.id&&this.fire(new t.ErrorEvent(new Error("The feature id parameter must be provided."))),i.getFeatureState(n,e.id);this.fire(new t.ErrorEvent(new Error("The sourceLayer parameter must be provided for vector source types.")))}else this.fire(new t.ErrorEvent(new Error("The source '"+r+"' does not exist in the map's style.")))},r.prototype.getTransition=function(){return t.extend({duration:300,delay:0},this.stylesheet&&this.stylesheet.transition)},r.prototype.serialize=function(){return t.filterObject({version:this.stylesheet.version,name:this.stylesheet.name,metadata:this.stylesheet.metadata,light:this.stylesheet.light,center:this.stylesheet.center,zoom:this.stylesheet.zoom,bearing:this.stylesheet.bearing,pitch:this.stylesheet.pitch,sprite:this.stylesheet.sprite,glyphs:this.stylesheet.glyphs,transition:this.stylesheet.transition,sources:t.mapObject(this.sourceCaches,(function(t){return t.serialize()})),layers:this._serializeLayers(this._order)},(function(t){return void 0!==t}))},r.prototype._updateLayer=function(t){this._updatedLayers[t.id]=!0,t.source&&!this._updatedSources[t.source]&&"raster"!==this.sourceCaches[t.source].getSource().type&&(this._updatedSources[t.source]="reload",this.sourceCaches[t.source].pause()),this._changed=!0},r.prototype._flattenAndSortRenderedFeatures=function(t){for(var e=this,r=function(t){return"fill-extrusion"===e._layers[t].type},n={},i=[],a=this._order.length-1;a>=0;a--){var o=this._order[a];if(r(o)){n[o]=a;for(var s=0,l=t;s=0;d--){var v=this._order[d];if(r(v))for(var g=i.length-1;g>=0;g--){var y=i[g].feature;if(n[y.layer.id] 0.5) {gl_FragColor=vec4(0.0,0.0,1.0,0.5)*alpha;}if (v_notUsed > 0.5) {gl_FragColor*=.1;}}","attribute vec2 a_pos;attribute vec2 a_anchor_pos;attribute vec2 a_extrude;attribute vec2 a_placed;attribute vec2 a_shift;uniform mat4 u_matrix;uniform vec2 u_extrude_scale;uniform float u_camera_to_center_distance;varying float v_placed;varying float v_notUsed;void main() {vec4 projectedPoint=u_matrix*vec4(a_anchor_pos,0,1);highp float camera_to_anchor_distance=projectedPoint.w;highp float collision_perspective_ratio=clamp(0.5+0.5*(u_camera_to_center_distance/camera_to_anchor_distance),0.0,4.0);gl_Position=u_matrix*vec4(a_pos,0.0,1.0);gl_Position.xy+=(a_extrude+a_shift)*u_extrude_scale*gl_Position.w*collision_perspective_ratio;v_placed=a_placed.x;v_notUsed=a_placed.y;}"),nr=_r("varying float v_radius;varying vec2 v_extrude;varying float v_perspective_ratio;varying float v_collision;void main() {float alpha=0.5*min(v_perspective_ratio,1.0);float stroke_radius=0.9*max(v_perspective_ratio,1.0);float distance_to_center=length(v_extrude);float distance_to_edge=abs(distance_to_center-v_radius);float opacity_t=smoothstep(-stroke_radius,0.0,-distance_to_edge);vec4 color=mix(vec4(0.0,0.0,1.0,0.5),vec4(1.0,0.0,0.0,1.0),v_collision);gl_FragColor=color*alpha*opacity_t;}","attribute vec2 a_pos;attribute float a_radius;attribute vec2 a_flags;uniform mat4 u_matrix;uniform mat4 u_inv_matrix;uniform vec2 u_viewport_size;uniform float u_camera_to_center_distance;varying float v_radius;varying vec2 v_extrude;varying float v_perspective_ratio;varying float v_collision;vec3 toTilePosition(vec2 screenPos) {vec4 rayStart=u_inv_matrix*vec4(screenPos,-1.0,1.0);vec4 rayEnd =u_inv_matrix*vec4(screenPos, 1.0,1.0);rayStart.xyz/=rayStart.w;rayEnd.xyz /=rayEnd.w;highp float t=(0.0-rayStart.z)/(rayEnd.z-rayStart.z);return mix(rayStart.xyz,rayEnd.xyz,t);}void main() {vec2 quadCenterPos=a_pos;float radius=a_radius;float collision=a_flags.x;float vertexIdx=a_flags.y;vec2 quadVertexOffset=vec2(mix(-1.0,1.0,float(vertexIdx >=2.0)),mix(-1.0,1.0,float(vertexIdx >=1.0 && vertexIdx <=2.0)));vec2 quadVertexExtent=quadVertexOffset*radius;vec3 tilePos=toTilePosition(quadCenterPos);vec4 clipPos=u_matrix*vec4(tilePos,1.0);highp float camera_to_anchor_distance=clipPos.w;highp float collision_perspective_ratio=clamp(0.5+0.5*(u_camera_to_center_distance/camera_to_anchor_distance),0.0,4.0);float padding_factor=1.2;v_radius=radius;v_extrude=quadVertexExtent*padding_factor;v_perspective_ratio=collision_perspective_ratio;v_collision=collision;gl_Position=vec4(clipPos.xyz/clipPos.w,1.0)+vec4(quadVertexExtent*padding_factor/u_viewport_size*2.0,0.0,0.0);}"),ir=_r("uniform highp vec4 u_color;uniform sampler2D u_overlay;varying vec2 v_uv;void main() {vec4 overlay_color=texture2D(u_overlay,v_uv);gl_FragColor=mix(u_color,overlay_color,overlay_color.a);}","attribute vec2 a_pos;varying vec2 v_uv;uniform mat4 u_matrix;uniform float u_overlay_scale;void main() {v_uv=a_pos/8192.0;gl_Position=u_matrix*vec4(a_pos*u_overlay_scale,0,1);}"),ar=_r("#pragma mapbox: define highp vec4 color\n#pragma mapbox: define lowp float opacity\nvoid main() {\n#pragma mapbox: initialize highp vec4 color\n#pragma mapbox: initialize lowp float opacity\ngl_FragColor=color*opacity;\n#ifdef OVERDRAW_INSPECTOR\ngl_FragColor=vec4(1.0);\n#endif\n}","attribute vec2 a_pos;uniform mat4 u_matrix;\n#pragma mapbox: define highp vec4 color\n#pragma mapbox: define lowp float opacity\nvoid main() {\n#pragma mapbox: initialize highp vec4 color\n#pragma mapbox: initialize lowp float opacity\ngl_Position=u_matrix*vec4(a_pos,0,1);}"),or=_r("varying vec2 v_pos;\n#pragma mapbox: define highp vec4 outline_color\n#pragma mapbox: define lowp float opacity\nvoid main() {\n#pragma mapbox: initialize highp vec4 outline_color\n#pragma mapbox: initialize lowp float opacity\nfloat dist=length(v_pos-gl_FragCoord.xy);float alpha=1.0-smoothstep(0.0,1.0,dist);gl_FragColor=outline_color*(alpha*opacity);\n#ifdef OVERDRAW_INSPECTOR\ngl_FragColor=vec4(1.0);\n#endif\n}","attribute vec2 a_pos;uniform mat4 u_matrix;uniform vec2 u_world;varying vec2 v_pos;\n#pragma mapbox: define highp vec4 outline_color\n#pragma mapbox: define lowp float opacity\nvoid main() {\n#pragma mapbox: initialize highp vec4 outline_color\n#pragma mapbox: initialize lowp float opacity\ngl_Position=u_matrix*vec4(a_pos,0,1);v_pos=(gl_Position.xy/gl_Position.w+1.0)/2.0*u_world;}"),sr=_r("uniform vec2 u_texsize;uniform sampler2D u_image;uniform float u_fade;varying vec2 v_pos_a;varying vec2 v_pos_b;varying vec2 v_pos;\n#pragma mapbox: define lowp float opacity\n#pragma mapbox: define lowp vec4 pattern_from\n#pragma mapbox: define lowp vec4 pattern_to\nvoid main() {\n#pragma mapbox: initialize lowp float opacity\n#pragma mapbox: initialize mediump vec4 pattern_from\n#pragma mapbox: initialize mediump vec4 pattern_to\nvec2 pattern_tl_a=pattern_from.xy;vec2 pattern_br_a=pattern_from.zw;vec2 pattern_tl_b=pattern_to.xy;vec2 pattern_br_b=pattern_to.zw;vec2 imagecoord=mod(v_pos_a,1.0);vec2 pos=mix(pattern_tl_a/u_texsize,pattern_br_a/u_texsize,imagecoord);vec4 color1=texture2D(u_image,pos);vec2 imagecoord_b=mod(v_pos_b,1.0);vec2 pos2=mix(pattern_tl_b/u_texsize,pattern_br_b/u_texsize,imagecoord_b);vec4 color2=texture2D(u_image,pos2);float dist=length(v_pos-gl_FragCoord.xy);float alpha=1.0-smoothstep(0.0,1.0,dist);gl_FragColor=mix(color1,color2,u_fade)*alpha*opacity;\n#ifdef OVERDRAW_INSPECTOR\ngl_FragColor=vec4(1.0);\n#endif\n}","uniform mat4 u_matrix;uniform vec2 u_world;uniform vec2 u_pixel_coord_upper;uniform vec2 u_pixel_coord_lower;uniform vec3 u_scale;attribute vec2 a_pos;varying vec2 v_pos_a;varying vec2 v_pos_b;varying vec2 v_pos;\n#pragma mapbox: define lowp float opacity\n#pragma mapbox: define lowp vec4 pattern_from\n#pragma mapbox: define lowp vec4 pattern_to\n#pragma mapbox: define lowp float pixel_ratio_from\n#pragma mapbox: define lowp float pixel_ratio_to\nvoid main() {\n#pragma mapbox: initialize lowp float opacity\n#pragma mapbox: initialize mediump vec4 pattern_from\n#pragma mapbox: initialize mediump vec4 pattern_to\n#pragma mapbox: initialize lowp float pixel_ratio_from\n#pragma mapbox: initialize lowp float pixel_ratio_to\nvec2 pattern_tl_a=pattern_from.xy;vec2 pattern_br_a=pattern_from.zw;vec2 pattern_tl_b=pattern_to.xy;vec2 pattern_br_b=pattern_to.zw;float tileRatio=u_scale.x;float fromScale=u_scale.y;float toScale=u_scale.z;gl_Position=u_matrix*vec4(a_pos,0,1);vec2 display_size_a=(pattern_br_a-pattern_tl_a)/pixel_ratio_from;vec2 display_size_b=(pattern_br_b-pattern_tl_b)/pixel_ratio_to;v_pos_a=get_pattern_pos(u_pixel_coord_upper,u_pixel_coord_lower,fromScale*display_size_a,tileRatio,a_pos);v_pos_b=get_pattern_pos(u_pixel_coord_upper,u_pixel_coord_lower,toScale*display_size_b,tileRatio,a_pos);v_pos=(gl_Position.xy/gl_Position.w+1.0)/2.0*u_world;}"),lr=_r("uniform vec2 u_texsize;uniform float u_fade;uniform sampler2D u_image;varying vec2 v_pos_a;varying vec2 v_pos_b;\n#pragma mapbox: define lowp float opacity\n#pragma mapbox: define lowp vec4 pattern_from\n#pragma mapbox: define lowp vec4 pattern_to\nvoid main() {\n#pragma mapbox: initialize lowp float opacity\n#pragma mapbox: initialize mediump vec4 pattern_from\n#pragma mapbox: initialize mediump vec4 pattern_to\nvec2 pattern_tl_a=pattern_from.xy;vec2 pattern_br_a=pattern_from.zw;vec2 pattern_tl_b=pattern_to.xy;vec2 pattern_br_b=pattern_to.zw;vec2 imagecoord=mod(v_pos_a,1.0);vec2 pos=mix(pattern_tl_a/u_texsize,pattern_br_a/u_texsize,imagecoord);vec4 color1=texture2D(u_image,pos);vec2 imagecoord_b=mod(v_pos_b,1.0);vec2 pos2=mix(pattern_tl_b/u_texsize,pattern_br_b/u_texsize,imagecoord_b);vec4 color2=texture2D(u_image,pos2);gl_FragColor=mix(color1,color2,u_fade)*opacity;\n#ifdef OVERDRAW_INSPECTOR\ngl_FragColor=vec4(1.0);\n#endif\n}","uniform mat4 u_matrix;uniform vec2 u_pixel_coord_upper;uniform vec2 u_pixel_coord_lower;uniform vec3 u_scale;attribute vec2 a_pos;varying vec2 v_pos_a;varying vec2 v_pos_b;\n#pragma mapbox: define lowp float opacity\n#pragma mapbox: define lowp vec4 pattern_from\n#pragma mapbox: define lowp vec4 pattern_to\n#pragma mapbox: define lowp float pixel_ratio_from\n#pragma mapbox: define lowp float pixel_ratio_to\nvoid main() {\n#pragma mapbox: initialize lowp float opacity\n#pragma mapbox: initialize mediump vec4 pattern_from\n#pragma mapbox: initialize mediump vec4 pattern_to\n#pragma mapbox: initialize lowp float pixel_ratio_from\n#pragma mapbox: initialize lowp float pixel_ratio_to\nvec2 pattern_tl_a=pattern_from.xy;vec2 pattern_br_a=pattern_from.zw;vec2 pattern_tl_b=pattern_to.xy;vec2 pattern_br_b=pattern_to.zw;float tileZoomRatio=u_scale.x;float fromScale=u_scale.y;float toScale=u_scale.z;vec2 display_size_a=(pattern_br_a-pattern_tl_a)/pixel_ratio_from;vec2 display_size_b=(pattern_br_b-pattern_tl_b)/pixel_ratio_to;gl_Position=u_matrix*vec4(a_pos,0,1);v_pos_a=get_pattern_pos(u_pixel_coord_upper,u_pixel_coord_lower,fromScale*display_size_a,tileZoomRatio,a_pos);v_pos_b=get_pattern_pos(u_pixel_coord_upper,u_pixel_coord_lower,toScale*display_size_b,tileZoomRatio,a_pos);}"),ur=_r("varying vec4 v_color;void main() {gl_FragColor=v_color;\n#ifdef OVERDRAW_INSPECTOR\ngl_FragColor=vec4(1.0);\n#endif\n}","uniform mat4 u_matrix;uniform vec3 u_lightcolor;uniform lowp vec3 u_lightpos;uniform lowp float u_lightintensity;uniform float u_vertical_gradient;uniform lowp float u_opacity;attribute vec2 a_pos;attribute vec4 a_normal_ed;varying vec4 v_color;\n#pragma mapbox: define highp float base\n#pragma mapbox: define highp float height\n#pragma mapbox: define highp vec4 color\nvoid main() {\n#pragma mapbox: initialize highp float base\n#pragma mapbox: initialize highp float height\n#pragma mapbox: initialize highp vec4 color\nvec3 normal=a_normal_ed.xyz;base=max(0.0,base);height=max(0.0,height);float t=mod(normal.x,2.0);gl_Position=u_matrix*vec4(a_pos,t > 0.0 ? height : base,1);float colorvalue=color.r*0.2126+color.g*0.7152+color.b*0.0722;v_color=vec4(0.0,0.0,0.0,1.0);vec4 ambientlight=vec4(0.03,0.03,0.03,1.0);color+=ambientlight;float directional=clamp(dot(normal/16384.0,u_lightpos),0.0,1.0);directional=mix((1.0-u_lightintensity),max((1.0-colorvalue+u_lightintensity),1.0),directional);if (normal.y !=0.0) {directional*=((1.0-u_vertical_gradient)+(u_vertical_gradient*clamp((t+base)*pow(height/150.0,0.5),mix(0.7,0.98,1.0-u_lightintensity),1.0)));}v_color.r+=clamp(color.r*directional*u_lightcolor.r,mix(0.0,0.3,1.0-u_lightcolor.r),1.0);v_color.g+=clamp(color.g*directional*u_lightcolor.g,mix(0.0,0.3,1.0-u_lightcolor.g),1.0);v_color.b+=clamp(color.b*directional*u_lightcolor.b,mix(0.0,0.3,1.0-u_lightcolor.b),1.0);v_color*=u_opacity;}"),cr=_r("uniform vec2 u_texsize;uniform float u_fade;uniform sampler2D u_image;varying vec2 v_pos_a;varying vec2 v_pos_b;varying vec4 v_lighting;\n#pragma mapbox: define lowp float base\n#pragma mapbox: define lowp float height\n#pragma mapbox: define lowp vec4 pattern_from\n#pragma mapbox: define lowp vec4 pattern_to\n#pragma mapbox: define lowp float pixel_ratio_from\n#pragma mapbox: define lowp float pixel_ratio_to\nvoid main() {\n#pragma mapbox: initialize lowp float base\n#pragma mapbox: initialize lowp float height\n#pragma mapbox: initialize mediump vec4 pattern_from\n#pragma mapbox: initialize mediump vec4 pattern_to\n#pragma mapbox: initialize lowp float pixel_ratio_from\n#pragma mapbox: initialize lowp float pixel_ratio_to\nvec2 pattern_tl_a=pattern_from.xy;vec2 pattern_br_a=pattern_from.zw;vec2 pattern_tl_b=pattern_to.xy;vec2 pattern_br_b=pattern_to.zw;vec2 imagecoord=mod(v_pos_a,1.0);vec2 pos=mix(pattern_tl_a/u_texsize,pattern_br_a/u_texsize,imagecoord);vec4 color1=texture2D(u_image,pos);vec2 imagecoord_b=mod(v_pos_b,1.0);vec2 pos2=mix(pattern_tl_b/u_texsize,pattern_br_b/u_texsize,imagecoord_b);vec4 color2=texture2D(u_image,pos2);vec4 mixedColor=mix(color1,color2,u_fade);gl_FragColor=mixedColor*v_lighting;\n#ifdef OVERDRAW_INSPECTOR\ngl_FragColor=vec4(1.0);\n#endif\n}","uniform mat4 u_matrix;uniform vec2 u_pixel_coord_upper;uniform vec2 u_pixel_coord_lower;uniform float u_height_factor;uniform vec3 u_scale;uniform float u_vertical_gradient;uniform lowp float u_opacity;uniform vec3 u_lightcolor;uniform lowp vec3 u_lightpos;uniform lowp float u_lightintensity;attribute vec2 a_pos;attribute vec4 a_normal_ed;varying vec2 v_pos_a;varying vec2 v_pos_b;varying vec4 v_lighting;\n#pragma mapbox: define lowp float base\n#pragma mapbox: define lowp float height\n#pragma mapbox: define lowp vec4 pattern_from\n#pragma mapbox: define lowp vec4 pattern_to\n#pragma mapbox: define lowp float pixel_ratio_from\n#pragma mapbox: define lowp float pixel_ratio_to\nvoid main() {\n#pragma mapbox: initialize lowp float base\n#pragma mapbox: initialize lowp float height\n#pragma mapbox: initialize mediump vec4 pattern_from\n#pragma mapbox: initialize mediump vec4 pattern_to\n#pragma mapbox: initialize lowp float pixel_ratio_from\n#pragma mapbox: initialize lowp float pixel_ratio_to\nvec2 pattern_tl_a=pattern_from.xy;vec2 pattern_br_a=pattern_from.zw;vec2 pattern_tl_b=pattern_to.xy;vec2 pattern_br_b=pattern_to.zw;float tileRatio=u_scale.x;float fromScale=u_scale.y;float toScale=u_scale.z;vec3 normal=a_normal_ed.xyz;float edgedistance=a_normal_ed.w;vec2 display_size_a=(pattern_br_a-pattern_tl_a)/pixel_ratio_from;vec2 display_size_b=(pattern_br_b-pattern_tl_b)/pixel_ratio_to;base=max(0.0,base);height=max(0.0,height);float t=mod(normal.x,2.0);float z=t > 0.0 ? height : base;gl_Position=u_matrix*vec4(a_pos,z,1);vec2 pos=normal.x==1.0 && normal.y==0.0 && normal.z==16384.0\n? a_pos\n: vec2(edgedistance,z*u_height_factor);v_pos_a=get_pattern_pos(u_pixel_coord_upper,u_pixel_coord_lower,fromScale*display_size_a,tileRatio,pos);v_pos_b=get_pattern_pos(u_pixel_coord_upper,u_pixel_coord_lower,toScale*display_size_b,tileRatio,pos);v_lighting=vec4(0.0,0.0,0.0,1.0);float directional=clamp(dot(normal/16383.0,u_lightpos),0.0,1.0);directional=mix((1.0-u_lightintensity),max((0.5+u_lightintensity),1.0),directional);if (normal.y !=0.0) {directional*=((1.0-u_vertical_gradient)+(u_vertical_gradient*clamp((t+base)*pow(height/150.0,0.5),mix(0.7,0.98,1.0-u_lightintensity),1.0)));}v_lighting.rgb+=clamp(directional*u_lightcolor,mix(vec3(0.0),vec3(0.3),1.0-u_lightcolor),vec3(1.0));v_lighting*=u_opacity;}"),fr=_r("#ifdef GL_ES\nprecision highp float;\n#endif\nuniform sampler2D u_image;varying vec2 v_pos;uniform vec2 u_dimension;uniform float u_zoom;uniform vec4 u_unpack;float getElevation(vec2 coord,float bias) {vec4 data=texture2D(u_image,coord)*255.0;data.a=-1.0;return dot(data,u_unpack)/4.0;}void main() {vec2 epsilon=1.0/u_dimension;float a=getElevation(v_pos+vec2(-epsilon.x,-epsilon.y),0.0);float b=getElevation(v_pos+vec2(0,-epsilon.y),0.0);float c=getElevation(v_pos+vec2(epsilon.x,-epsilon.y),0.0);float d=getElevation(v_pos+vec2(-epsilon.x,0),0.0);float e=getElevation(v_pos,0.0);float f=getElevation(v_pos+vec2(epsilon.x,0),0.0);float g=getElevation(v_pos+vec2(-epsilon.x,epsilon.y),0.0);float h=getElevation(v_pos+vec2(0,epsilon.y),0.0);float i=getElevation(v_pos+vec2(epsilon.x,epsilon.y),0.0);float exaggerationFactor=u_zoom < 2.0 ? 0.4 : u_zoom < 4.5 ? 0.35 : 0.3;float exaggeration=u_zoom < 15.0 ? (u_zoom-15.0)*exaggerationFactor : 0.0;vec2 deriv=vec2((c+f+f+i)-(a+d+d+g),(g+h+h+i)-(a+b+b+c))/pow(2.0,exaggeration+(19.2562-u_zoom));gl_FragColor=clamp(vec4(deriv.x/2.0+0.5,deriv.y/2.0+0.5,1.0,1.0),0.0,1.0);\n#ifdef OVERDRAW_INSPECTOR\ngl_FragColor=vec4(1.0);\n#endif\n}","uniform mat4 u_matrix;uniform vec2 u_dimension;attribute vec2 a_pos;attribute vec2 a_texture_pos;varying vec2 v_pos;void main() {gl_Position=u_matrix*vec4(a_pos,0,1);highp vec2 epsilon=1.0/u_dimension;float scale=(u_dimension.x-2.0)/u_dimension.x;v_pos=(a_texture_pos/8192.0)*scale+epsilon;}"),hr=_r("uniform sampler2D u_image;varying vec2 v_pos;uniform vec2 u_latrange;uniform vec2 u_light;uniform vec4 u_shadow;uniform vec4 u_highlight;uniform vec4 u_accent;\n#define PI 3.141592653589793\nvoid main() {vec4 pixel=texture2D(u_image,v_pos);vec2 deriv=((pixel.rg*2.0)-1.0);float scaleFactor=cos(radians((u_latrange[0]-u_latrange[1])*(1.0-v_pos.y)+u_latrange[1]));float slope=atan(1.25*length(deriv)/scaleFactor);float aspect=deriv.x !=0.0 ? atan(deriv.y,-deriv.x) : PI/2.0*(deriv.y > 0.0 ? 1.0 :-1.0);float intensity=u_light.x;float azimuth=u_light.y+PI;float base=1.875-intensity*1.75;float maxValue=0.5*PI;float scaledSlope=intensity !=0.5 ? ((pow(base,slope)-1.0)/(pow(base,maxValue)-1.0))*maxValue : slope;float accent=cos(scaledSlope);vec4 accent_color=(1.0-accent)*u_accent*clamp(intensity*2.0,0.0,1.0);float shade=abs(mod((aspect+azimuth)/PI+0.5,2.0)-1.0);vec4 shade_color=mix(u_shadow,u_highlight,shade)*sin(scaledSlope)*clamp(intensity*2.0,0.0,1.0);gl_FragColor=accent_color*(1.0-shade_color.a)+shade_color;\n#ifdef OVERDRAW_INSPECTOR\ngl_FragColor=vec4(1.0);\n#endif\n}","uniform mat4 u_matrix;attribute vec2 a_pos;attribute vec2 a_texture_pos;varying vec2 v_pos;void main() {gl_Position=u_matrix*vec4(a_pos,0,1);v_pos=a_texture_pos/8192.0;}"),pr=_r("uniform lowp float u_device_pixel_ratio;varying vec2 v_width2;varying vec2 v_normal;varying float v_gamma_scale;\n#pragma mapbox: define highp vec4 color\n#pragma mapbox: define lowp float blur\n#pragma mapbox: define lowp float opacity\nvoid main() {\n#pragma mapbox: initialize highp vec4 color\n#pragma mapbox: initialize lowp float blur\n#pragma mapbox: initialize lowp float opacity\nfloat dist=length(v_normal)*v_width2.s;float blur2=(blur+1.0/u_device_pixel_ratio)*v_gamma_scale;float alpha=clamp(min(dist-(v_width2.t-blur2),v_width2.s-dist)/blur2,0.0,1.0);gl_FragColor=color*(alpha*opacity);\n#ifdef OVERDRAW_INSPECTOR\ngl_FragColor=vec4(1.0);\n#endif\n}","\n#define scale 0.015873016\nattribute vec2 a_pos_normal;attribute vec4 a_data;uniform mat4 u_matrix;uniform mediump float u_ratio;uniform vec2 u_units_to_pixels;uniform lowp float u_device_pixel_ratio;varying vec2 v_normal;varying vec2 v_width2;varying float v_gamma_scale;varying highp float v_linesofar;\n#pragma mapbox: define highp vec4 color\n#pragma mapbox: define lowp float blur\n#pragma mapbox: define lowp float opacity\n#pragma mapbox: define mediump float gapwidth\n#pragma mapbox: define lowp float offset\n#pragma mapbox: define mediump float width\nvoid main() {\n#pragma mapbox: initialize highp vec4 color\n#pragma mapbox: initialize lowp float blur\n#pragma mapbox: initialize lowp float opacity\n#pragma mapbox: initialize mediump float gapwidth\n#pragma mapbox: initialize lowp float offset\n#pragma mapbox: initialize mediump float width\nfloat ANTIALIASING=1.0/u_device_pixel_ratio/2.0;vec2 a_extrude=a_data.xy-128.0;float a_direction=mod(a_data.z,4.0)-1.0;v_linesofar=(floor(a_data.z/4.0)+a_data.w*64.0)*2.0;vec2 pos=floor(a_pos_normal*0.5);mediump vec2 normal=a_pos_normal-2.0*pos;normal.y=normal.y*2.0-1.0;v_normal=normal;gapwidth=gapwidth/2.0;float halfwidth=width/2.0;offset=-1.0*offset;float inset=gapwidth+(gapwidth > 0.0 ? ANTIALIASING : 0.0);float outset=gapwidth+halfwidth*(gapwidth > 0.0 ? 2.0 : 1.0)+(halfwidth==0.0 ? 0.0 : ANTIALIASING);mediump vec2 dist=outset*a_extrude*scale;mediump float u=0.5*a_direction;mediump float t=1.0-abs(u);mediump vec2 offset2=offset*a_extrude*scale*normal.y*mat2(t,-u,u,t);vec4 projected_extrude=u_matrix*vec4(dist/u_ratio,0.0,0.0);gl_Position=u_matrix*vec4(pos+offset2/u_ratio,0.0,1.0)+projected_extrude;float extrude_length_without_perspective=length(dist);float extrude_length_with_perspective=length(projected_extrude.xy/gl_Position.w*u_units_to_pixels);v_gamma_scale=extrude_length_without_perspective/extrude_length_with_perspective;v_width2=vec2(outset,inset);}"),dr=_r("uniform lowp float u_device_pixel_ratio;uniform sampler2D u_image;varying vec2 v_width2;varying vec2 v_normal;varying float v_gamma_scale;varying highp vec2 v_uv;\n#pragma mapbox: define lowp float blur\n#pragma mapbox: define lowp float opacity\nvoid main() {\n#pragma mapbox: initialize lowp float blur\n#pragma mapbox: initialize lowp float opacity\nfloat dist=length(v_normal)*v_width2.s;float blur2=(blur+1.0/u_device_pixel_ratio)*v_gamma_scale;float alpha=clamp(min(dist-(v_width2.t-blur2),v_width2.s-dist)/blur2,0.0,1.0);vec4 color=texture2D(u_image,v_uv);gl_FragColor=color*(alpha*opacity);\n#ifdef OVERDRAW_INSPECTOR\ngl_FragColor=vec4(1.0);\n#endif\n}","\n#define scale 0.015873016\nattribute vec2 a_pos_normal;attribute vec4 a_data;attribute float a_uv_x;attribute float a_split_index;uniform mat4 u_matrix;uniform mediump float u_ratio;uniform lowp float u_device_pixel_ratio;uniform vec2 u_units_to_pixels;uniform float u_image_height;varying vec2 v_normal;varying vec2 v_width2;varying float v_gamma_scale;varying highp vec2 v_uv;\n#pragma mapbox: define lowp float blur\n#pragma mapbox: define lowp float opacity\n#pragma mapbox: define mediump float gapwidth\n#pragma mapbox: define lowp float offset\n#pragma mapbox: define mediump float width\nvoid main() {\n#pragma mapbox: initialize lowp float blur\n#pragma mapbox: initialize lowp float opacity\n#pragma mapbox: initialize mediump float gapwidth\n#pragma mapbox: initialize lowp float offset\n#pragma mapbox: initialize mediump float width\nfloat ANTIALIASING=1.0/u_device_pixel_ratio/2.0;vec2 a_extrude=a_data.xy-128.0;float a_direction=mod(a_data.z,4.0)-1.0;highp float texel_height=1.0/u_image_height;highp float half_texel_height=0.5*texel_height;v_uv=vec2(a_uv_x,a_split_index*texel_height-half_texel_height);vec2 pos=floor(a_pos_normal*0.5);mediump vec2 normal=a_pos_normal-2.0*pos;normal.y=normal.y*2.0-1.0;v_normal=normal;gapwidth=gapwidth/2.0;float halfwidth=width/2.0;offset=-1.0*offset;float inset=gapwidth+(gapwidth > 0.0 ? ANTIALIASING : 0.0);float outset=gapwidth+halfwidth*(gapwidth > 0.0 ? 2.0 : 1.0)+(halfwidth==0.0 ? 0.0 : ANTIALIASING);mediump vec2 dist=outset*a_extrude*scale;mediump float u=0.5*a_direction;mediump float t=1.0-abs(u);mediump vec2 offset2=offset*a_extrude*scale*normal.y*mat2(t,-u,u,t);vec4 projected_extrude=u_matrix*vec4(dist/u_ratio,0.0,0.0);gl_Position=u_matrix*vec4(pos+offset2/u_ratio,0.0,1.0)+projected_extrude;float extrude_length_without_perspective=length(dist);float extrude_length_with_perspective=length(projected_extrude.xy/gl_Position.w*u_units_to_pixels);v_gamma_scale=extrude_length_without_perspective/extrude_length_with_perspective;v_width2=vec2(outset,inset);}"),vr=_r("uniform lowp float u_device_pixel_ratio;uniform vec2 u_texsize;uniform float u_fade;uniform mediump vec3 u_scale;uniform sampler2D u_image;varying vec2 v_normal;varying vec2 v_width2;varying float v_linesofar;varying float v_gamma_scale;varying float v_width;\n#pragma mapbox: define lowp vec4 pattern_from\n#pragma mapbox: define lowp vec4 pattern_to\n#pragma mapbox: define lowp float pixel_ratio_from\n#pragma mapbox: define lowp float pixel_ratio_to\n#pragma mapbox: define lowp float blur\n#pragma mapbox: define lowp float opacity\nvoid main() {\n#pragma mapbox: initialize mediump vec4 pattern_from\n#pragma mapbox: initialize mediump vec4 pattern_to\n#pragma mapbox: initialize lowp float pixel_ratio_from\n#pragma mapbox: initialize lowp float pixel_ratio_to\n#pragma mapbox: initialize lowp float blur\n#pragma mapbox: initialize lowp float opacity\nvec2 pattern_tl_a=pattern_from.xy;vec2 pattern_br_a=pattern_from.zw;vec2 pattern_tl_b=pattern_to.xy;vec2 pattern_br_b=pattern_to.zw;float tileZoomRatio=u_scale.x;float fromScale=u_scale.y;float toScale=u_scale.z;vec2 display_size_a=(pattern_br_a-pattern_tl_a)/pixel_ratio_from;vec2 display_size_b=(pattern_br_b-pattern_tl_b)/pixel_ratio_to;vec2 pattern_size_a=vec2(display_size_a.x*fromScale/tileZoomRatio,display_size_a.y);vec2 pattern_size_b=vec2(display_size_b.x*toScale/tileZoomRatio,display_size_b.y);float aspect_a=display_size_a.y/v_width;float aspect_b=display_size_b.y/v_width;float dist=length(v_normal)*v_width2.s;float blur2=(blur+1.0/u_device_pixel_ratio)*v_gamma_scale;float alpha=clamp(min(dist-(v_width2.t-blur2),v_width2.s-dist)/blur2,0.0,1.0);float x_a=mod(v_linesofar/pattern_size_a.x*aspect_a,1.0);float x_b=mod(v_linesofar/pattern_size_b.x*aspect_b,1.0);float y=0.5*v_normal.y+0.5;vec2 texel_size=1.0/u_texsize;vec2 pos_a=mix(pattern_tl_a*texel_size-texel_size,pattern_br_a*texel_size+texel_size,vec2(x_a,y));vec2 pos_b=mix(pattern_tl_b*texel_size-texel_size,pattern_br_b*texel_size+texel_size,vec2(x_b,y));vec4 color=mix(texture2D(u_image,pos_a),texture2D(u_image,pos_b),u_fade);gl_FragColor=color*alpha*opacity;\n#ifdef OVERDRAW_INSPECTOR\ngl_FragColor=vec4(1.0);\n#endif\n}","\n#define scale 0.015873016\n#define LINE_DISTANCE_SCALE 2.0\nattribute vec2 a_pos_normal;attribute vec4 a_data;uniform mat4 u_matrix;uniform vec2 u_units_to_pixels;uniform mediump float u_ratio;uniform lowp float u_device_pixel_ratio;varying vec2 v_normal;varying vec2 v_width2;varying float v_linesofar;varying float v_gamma_scale;varying float v_width;\n#pragma mapbox: define lowp float blur\n#pragma mapbox: define lowp float opacity\n#pragma mapbox: define lowp float offset\n#pragma mapbox: define mediump float gapwidth\n#pragma mapbox: define mediump float width\n#pragma mapbox: define lowp float floorwidth\n#pragma mapbox: define lowp vec4 pattern_from\n#pragma mapbox: define lowp vec4 pattern_to\n#pragma mapbox: define lowp float pixel_ratio_from\n#pragma mapbox: define lowp float pixel_ratio_to\nvoid main() {\n#pragma mapbox: initialize lowp float blur\n#pragma mapbox: initialize lowp float opacity\n#pragma mapbox: initialize lowp float offset\n#pragma mapbox: initialize mediump float gapwidth\n#pragma mapbox: initialize mediump float width\n#pragma mapbox: initialize lowp float floorwidth\n#pragma mapbox: initialize mediump vec4 pattern_from\n#pragma mapbox: initialize mediump vec4 pattern_to\n#pragma mapbox: initialize lowp float pixel_ratio_from\n#pragma mapbox: initialize lowp float pixel_ratio_to\nfloat ANTIALIASING=1.0/u_device_pixel_ratio/2.0;vec2 a_extrude=a_data.xy-128.0;float a_direction=mod(a_data.z,4.0)-1.0;float a_linesofar=(floor(a_data.z/4.0)+a_data.w*64.0)*LINE_DISTANCE_SCALE;vec2 pos=floor(a_pos_normal*0.5);mediump vec2 normal=a_pos_normal-2.0*pos;normal.y=normal.y*2.0-1.0;v_normal=normal;gapwidth=gapwidth/2.0;float halfwidth=width/2.0;offset=-1.0*offset;float inset=gapwidth+(gapwidth > 0.0 ? ANTIALIASING : 0.0);float outset=gapwidth+halfwidth*(gapwidth > 0.0 ? 2.0 : 1.0)+(halfwidth==0.0 ? 0.0 : ANTIALIASING);mediump vec2 dist=outset*a_extrude*scale;mediump float u=0.5*a_direction;mediump float t=1.0-abs(u);mediump vec2 offset2=offset*a_extrude*scale*normal.y*mat2(t,-u,u,t);vec4 projected_extrude=u_matrix*vec4(dist/u_ratio,0.0,0.0);gl_Position=u_matrix*vec4(pos+offset2/u_ratio,0.0,1.0)+projected_extrude;float extrude_length_without_perspective=length(dist);float extrude_length_with_perspective=length(projected_extrude.xy/gl_Position.w*u_units_to_pixels);v_gamma_scale=extrude_length_without_perspective/extrude_length_with_perspective;v_linesofar=a_linesofar;v_width2=vec2(outset,inset);v_width=floorwidth;}"),gr=_r("uniform lowp float u_device_pixel_ratio;uniform sampler2D u_image;uniform float u_sdfgamma;uniform float u_mix;varying vec2 v_normal;varying vec2 v_width2;varying vec2 v_tex_a;varying vec2 v_tex_b;varying float v_gamma_scale;\n#pragma mapbox: define highp vec4 color\n#pragma mapbox: define lowp float blur\n#pragma mapbox: define lowp float opacity\n#pragma mapbox: define mediump float width\n#pragma mapbox: define lowp float floorwidth\nvoid main() {\n#pragma mapbox: initialize highp vec4 color\n#pragma mapbox: initialize lowp float blur\n#pragma mapbox: initialize lowp float opacity\n#pragma mapbox: initialize mediump float width\n#pragma mapbox: initialize lowp float floorwidth\nfloat dist=length(v_normal)*v_width2.s;float blur2=(blur+1.0/u_device_pixel_ratio)*v_gamma_scale;float alpha=clamp(min(dist-(v_width2.t-blur2),v_width2.s-dist)/blur2,0.0,1.0);float sdfdist_a=texture2D(u_image,v_tex_a).a;float sdfdist_b=texture2D(u_image,v_tex_b).a;float sdfdist=mix(sdfdist_a,sdfdist_b,u_mix);alpha*=smoothstep(0.5-u_sdfgamma/floorwidth,0.5+u_sdfgamma/floorwidth,sdfdist);gl_FragColor=color*(alpha*opacity);\n#ifdef OVERDRAW_INSPECTOR\ngl_FragColor=vec4(1.0);\n#endif\n}","\n#define scale 0.015873016\n#define LINE_DISTANCE_SCALE 2.0\nattribute vec2 a_pos_normal;attribute vec4 a_data;uniform mat4 u_matrix;uniform mediump float u_ratio;uniform lowp float u_device_pixel_ratio;uniform vec2 u_patternscale_a;uniform float u_tex_y_a;uniform vec2 u_patternscale_b;uniform float u_tex_y_b;uniform vec2 u_units_to_pixels;varying vec2 v_normal;varying vec2 v_width2;varying vec2 v_tex_a;varying vec2 v_tex_b;varying float v_gamma_scale;\n#pragma mapbox: define highp vec4 color\n#pragma mapbox: define lowp float blur\n#pragma mapbox: define lowp float opacity\n#pragma mapbox: define mediump float gapwidth\n#pragma mapbox: define lowp float offset\n#pragma mapbox: define mediump float width\n#pragma mapbox: define lowp float floorwidth\nvoid main() {\n#pragma mapbox: initialize highp vec4 color\n#pragma mapbox: initialize lowp float blur\n#pragma mapbox: initialize lowp float opacity\n#pragma mapbox: initialize mediump float gapwidth\n#pragma mapbox: initialize lowp float offset\n#pragma mapbox: initialize mediump float width\n#pragma mapbox: initialize lowp float floorwidth\nfloat ANTIALIASING=1.0/u_device_pixel_ratio/2.0;vec2 a_extrude=a_data.xy-128.0;float a_direction=mod(a_data.z,4.0)-1.0;float a_linesofar=(floor(a_data.z/4.0)+a_data.w*64.0)*LINE_DISTANCE_SCALE;vec2 pos=floor(a_pos_normal*0.5);mediump vec2 normal=a_pos_normal-2.0*pos;normal.y=normal.y*2.0-1.0;v_normal=normal;gapwidth=gapwidth/2.0;float halfwidth=width/2.0;offset=-1.0*offset;float inset=gapwidth+(gapwidth > 0.0 ? ANTIALIASING : 0.0);float outset=gapwidth+halfwidth*(gapwidth > 0.0 ? 2.0 : 1.0)+(halfwidth==0.0 ? 0.0 : ANTIALIASING);mediump vec2 dist=outset*a_extrude*scale;mediump float u=0.5*a_direction;mediump float t=1.0-abs(u);mediump vec2 offset2=offset*a_extrude*scale*normal.y*mat2(t,-u,u,t);vec4 projected_extrude=u_matrix*vec4(dist/u_ratio,0.0,0.0);gl_Position=u_matrix*vec4(pos+offset2/u_ratio,0.0,1.0)+projected_extrude;float extrude_length_without_perspective=length(dist);float extrude_length_with_perspective=length(projected_extrude.xy/gl_Position.w*u_units_to_pixels);v_gamma_scale=extrude_length_without_perspective/extrude_length_with_perspective;v_tex_a=vec2(a_linesofar*u_patternscale_a.x/floorwidth,normal.y*u_patternscale_a.y+u_tex_y_a);v_tex_b=vec2(a_linesofar*u_patternscale_b.x/floorwidth,normal.y*u_patternscale_b.y+u_tex_y_b);v_width2=vec2(outset,inset);}"),yr=_r("uniform float u_fade_t;uniform float u_opacity;uniform sampler2D u_image0;uniform sampler2D u_image1;varying vec2 v_pos0;varying vec2 v_pos1;uniform float u_brightness_low;uniform float u_brightness_high;uniform float u_saturation_factor;uniform float u_contrast_factor;uniform vec3 u_spin_weights;void main() {vec4 color0=texture2D(u_image0,v_pos0);vec4 color1=texture2D(u_image1,v_pos1);if (color0.a > 0.0) {color0.rgb=color0.rgb/color0.a;}if (color1.a > 0.0) {color1.rgb=color1.rgb/color1.a;}vec4 color=mix(color0,color1,u_fade_t);color.a*=u_opacity;vec3 rgb=color.rgb;rgb=vec3(dot(rgb,u_spin_weights.xyz),dot(rgb,u_spin_weights.zxy),dot(rgb,u_spin_weights.yzx));float average=(color.r+color.g+color.b)/3.0;rgb+=(average-rgb)*u_saturation_factor;rgb=(rgb-0.5)*u_contrast_factor+0.5;vec3 u_high_vec=vec3(u_brightness_low,u_brightness_low,u_brightness_low);vec3 u_low_vec=vec3(u_brightness_high,u_brightness_high,u_brightness_high);gl_FragColor=vec4(mix(u_high_vec,u_low_vec,rgb)*color.a,color.a);\n#ifdef OVERDRAW_INSPECTOR\ngl_FragColor=vec4(1.0);\n#endif\n}","uniform mat4 u_matrix;uniform vec2 u_tl_parent;uniform float u_scale_parent;uniform float u_buffer_scale;attribute vec2 a_pos;attribute vec2 a_texture_pos;varying vec2 v_pos0;varying vec2 v_pos1;void main() {gl_Position=u_matrix*vec4(a_pos,0,1);v_pos0=(((a_texture_pos/8192.0)-0.5)/u_buffer_scale )+0.5;v_pos1=(v_pos0*u_scale_parent)+u_tl_parent;}"),mr=_r("uniform sampler2D u_texture;varying vec2 v_tex;varying float v_fade_opacity;\n#pragma mapbox: define lowp float opacity\nvoid main() {\n#pragma mapbox: initialize lowp float opacity\nlowp float alpha=opacity*v_fade_opacity;gl_FragColor=texture2D(u_texture,v_tex)*alpha;\n#ifdef OVERDRAW_INSPECTOR\ngl_FragColor=vec4(1.0);\n#endif\n}","const float PI=3.141592653589793;attribute vec4 a_pos_offset;attribute vec4 a_data;attribute vec4 a_pixeloffset;attribute vec3 a_projected_pos;attribute float a_fade_opacity;uniform bool u_is_size_zoom_constant;uniform bool u_is_size_feature_constant;uniform highp float u_size_t;uniform highp float u_size;uniform highp float u_camera_to_center_distance;uniform highp float u_pitch;uniform bool u_rotate_symbol;uniform highp float u_aspect_ratio;uniform float u_fade_change;uniform mat4 u_matrix;uniform mat4 u_label_plane_matrix;uniform mat4 u_coord_matrix;uniform bool u_is_text;uniform bool u_pitch_with_map;uniform vec2 u_texsize;varying vec2 v_tex;varying float v_fade_opacity;\n#pragma mapbox: define lowp float opacity\nvoid main() {\n#pragma mapbox: initialize lowp float opacity\nvec2 a_pos=a_pos_offset.xy;vec2 a_offset=a_pos_offset.zw;vec2 a_tex=a_data.xy;vec2 a_size=a_data.zw;float a_size_min=floor(a_size[0]*0.5);vec2 a_pxoffset=a_pixeloffset.xy;vec2 a_minFontScale=a_pixeloffset.zw/256.0;highp float segment_angle=-a_projected_pos[2];float size;if (!u_is_size_zoom_constant && !u_is_size_feature_constant) {size=mix(a_size_min,a_size[1],u_size_t)/128.0;} else if (u_is_size_zoom_constant && !u_is_size_feature_constant) {size=a_size_min/128.0;} else {size=u_size;}vec4 projectedPoint=u_matrix*vec4(a_pos,0,1);highp float camera_to_anchor_distance=projectedPoint.w;highp float distance_ratio=u_pitch_with_map ?\ncamera_to_anchor_distance/u_camera_to_center_distance :\nu_camera_to_center_distance/camera_to_anchor_distance;highp float perspective_ratio=clamp(0.5+0.5*distance_ratio,0.0,4.0);size*=perspective_ratio;float fontScale=u_is_text ? size/24.0 : size;highp float symbol_rotation=0.0;if (u_rotate_symbol) {vec4 offsetProjectedPoint=u_matrix*vec4(a_pos+vec2(1,0),0,1);vec2 a=projectedPoint.xy/projectedPoint.w;vec2 b=offsetProjectedPoint.xy/offsetProjectedPoint.w;symbol_rotation=atan((b.y-a.y)/u_aspect_ratio,b.x-a.x);}highp float angle_sin=sin(segment_angle+symbol_rotation);highp float angle_cos=cos(segment_angle+symbol_rotation);mat2 rotation_matrix=mat2(angle_cos,-1.0*angle_sin,angle_sin,angle_cos);vec4 projected_pos=u_label_plane_matrix*vec4(a_projected_pos.xy,0.0,1.0);gl_Position=u_coord_matrix*vec4(projected_pos.xy/projected_pos.w+rotation_matrix*(a_offset/32.0*max(a_minFontScale,fontScale)+a_pxoffset/16.0),0.0,1.0);v_tex=a_tex/u_texsize;vec2 fade_opacity=unpack_opacity(a_fade_opacity);float fade_change=fade_opacity[1] > 0.5 ? u_fade_change :-u_fade_change;v_fade_opacity=max(0.0,min(1.0,fade_opacity[0]+fade_change));}"),xr=_r("#define SDF_PX 8.0\nuniform bool u_is_halo;uniform sampler2D u_texture;uniform highp float u_gamma_scale;uniform lowp float u_device_pixel_ratio;uniform bool u_is_text;varying vec2 v_data0;varying vec3 v_data1;\n#pragma mapbox: define highp vec4 fill_color\n#pragma mapbox: define highp vec4 halo_color\n#pragma mapbox: define lowp float opacity\n#pragma mapbox: define lowp float halo_width\n#pragma mapbox: define lowp float halo_blur\nvoid main() {\n#pragma mapbox: initialize highp vec4 fill_color\n#pragma mapbox: initialize highp vec4 halo_color\n#pragma mapbox: initialize lowp float opacity\n#pragma mapbox: initialize lowp float halo_width\n#pragma mapbox: initialize lowp float halo_blur\nfloat EDGE_GAMMA=0.105/u_device_pixel_ratio;vec2 tex=v_data0.xy;float gamma_scale=v_data1.x;float size=v_data1.y;float fade_opacity=v_data1[2];float fontScale=u_is_text ? size/24.0 : size;lowp vec4 color=fill_color;highp float gamma=EDGE_GAMMA/(fontScale*u_gamma_scale);lowp float buff=(256.0-64.0)/256.0;if (u_is_halo) {color=halo_color;gamma=(halo_blur*1.19/SDF_PX+EDGE_GAMMA)/(fontScale*u_gamma_scale);buff=(6.0-halo_width/fontScale)/SDF_PX;}lowp float dist=texture2D(u_texture,tex).a;highp float gamma_scaled=gamma*gamma_scale;highp float alpha=smoothstep(buff-gamma_scaled,buff+gamma_scaled,dist);gl_FragColor=color*(alpha*opacity*fade_opacity);\n#ifdef OVERDRAW_INSPECTOR\ngl_FragColor=vec4(1.0);\n#endif\n}","const float PI=3.141592653589793;attribute vec4 a_pos_offset;attribute vec4 a_data;attribute vec4 a_pixeloffset;attribute vec3 a_projected_pos;attribute float a_fade_opacity;uniform bool u_is_size_zoom_constant;uniform bool u_is_size_feature_constant;uniform highp float u_size_t;uniform highp float u_size;uniform mat4 u_matrix;uniform mat4 u_label_plane_matrix;uniform mat4 u_coord_matrix;uniform bool u_is_text;uniform bool u_pitch_with_map;uniform highp float u_pitch;uniform bool u_rotate_symbol;uniform highp float u_aspect_ratio;uniform highp float u_camera_to_center_distance;uniform float u_fade_change;uniform vec2 u_texsize;varying vec2 v_data0;varying vec3 v_data1;\n#pragma mapbox: define highp vec4 fill_color\n#pragma mapbox: define highp vec4 halo_color\n#pragma mapbox: define lowp float opacity\n#pragma mapbox: define lowp float halo_width\n#pragma mapbox: define lowp float halo_blur\nvoid main() {\n#pragma mapbox: initialize highp vec4 fill_color\n#pragma mapbox: initialize highp vec4 halo_color\n#pragma mapbox: initialize lowp float opacity\n#pragma mapbox: initialize lowp float halo_width\n#pragma mapbox: initialize lowp float halo_blur\nvec2 a_pos=a_pos_offset.xy;vec2 a_offset=a_pos_offset.zw;vec2 a_tex=a_data.xy;vec2 a_size=a_data.zw;float a_size_min=floor(a_size[0]*0.5);vec2 a_pxoffset=a_pixeloffset.xy;highp float segment_angle=-a_projected_pos[2];float size;if (!u_is_size_zoom_constant && !u_is_size_feature_constant) {size=mix(a_size_min,a_size[1],u_size_t)/128.0;} else if (u_is_size_zoom_constant && !u_is_size_feature_constant) {size=a_size_min/128.0;} else {size=u_size;}vec4 projectedPoint=u_matrix*vec4(a_pos,0,1);highp float camera_to_anchor_distance=projectedPoint.w;highp float distance_ratio=u_pitch_with_map ?\ncamera_to_anchor_distance/u_camera_to_center_distance :\nu_camera_to_center_distance/camera_to_anchor_distance;highp float perspective_ratio=clamp(0.5+0.5*distance_ratio,0.0,4.0);size*=perspective_ratio;float fontScale=u_is_text ? size/24.0 : size;highp float symbol_rotation=0.0;if (u_rotate_symbol) {vec4 offsetProjectedPoint=u_matrix*vec4(a_pos+vec2(1,0),0,1);vec2 a=projectedPoint.xy/projectedPoint.w;vec2 b=offsetProjectedPoint.xy/offsetProjectedPoint.w;symbol_rotation=atan((b.y-a.y)/u_aspect_ratio,b.x-a.x);}highp float angle_sin=sin(segment_angle+symbol_rotation);highp float angle_cos=cos(segment_angle+symbol_rotation);mat2 rotation_matrix=mat2(angle_cos,-1.0*angle_sin,angle_sin,angle_cos);vec4 projected_pos=u_label_plane_matrix*vec4(a_projected_pos.xy,0.0,1.0);gl_Position=u_coord_matrix*vec4(projected_pos.xy/projected_pos.w+rotation_matrix*(a_offset/32.0*fontScale+a_pxoffset),0.0,1.0);float gamma_scale=gl_Position.w;vec2 fade_opacity=unpack_opacity(a_fade_opacity);float fade_change=fade_opacity[1] > 0.5 ? u_fade_change :-u_fade_change;float interpolated_fade_opacity=max(0.0,min(1.0,fade_opacity[0]+fade_change));v_data0=a_tex/u_texsize;v_data1=vec3(gamma_scale,size,interpolated_fade_opacity);}"),br=_r("#define SDF_PX 8.0\n#define SDF 1.0\n#define ICON 0.0\nuniform bool u_is_halo;uniform sampler2D u_texture;uniform sampler2D u_texture_icon;uniform highp float u_gamma_scale;uniform lowp float u_device_pixel_ratio;varying vec4 v_data0;varying vec4 v_data1;\n#pragma mapbox: define highp vec4 fill_color\n#pragma mapbox: define highp vec4 halo_color\n#pragma mapbox: define lowp float opacity\n#pragma mapbox: define lowp float halo_width\n#pragma mapbox: define lowp float halo_blur\nvoid main() {\n#pragma mapbox: initialize highp vec4 fill_color\n#pragma mapbox: initialize highp vec4 halo_color\n#pragma mapbox: initialize lowp float opacity\n#pragma mapbox: initialize lowp float halo_width\n#pragma mapbox: initialize lowp float halo_blur\nfloat fade_opacity=v_data1[2];if (v_data1.w==ICON) {vec2 tex_icon=v_data0.zw;lowp float alpha=opacity*fade_opacity;gl_FragColor=texture2D(u_texture_icon,tex_icon)*alpha;\n#ifdef OVERDRAW_INSPECTOR\ngl_FragColor=vec4(1.0);\n#endif\nreturn;}vec2 tex=v_data0.xy;float EDGE_GAMMA=0.105/u_device_pixel_ratio;float gamma_scale=v_data1.x;float size=v_data1.y;float fontScale=size/24.0;lowp vec4 color=fill_color;highp float gamma=EDGE_GAMMA/(fontScale*u_gamma_scale);lowp float buff=(256.0-64.0)/256.0;if (u_is_halo) {color=halo_color;gamma=(halo_blur*1.19/SDF_PX+EDGE_GAMMA)/(fontScale*u_gamma_scale);buff=(6.0-halo_width/fontScale)/SDF_PX;}lowp float dist=texture2D(u_texture,tex).a;highp float gamma_scaled=gamma*gamma_scale;highp float alpha=smoothstep(buff-gamma_scaled,buff+gamma_scaled,dist);gl_FragColor=color*(alpha*opacity*fade_opacity);\n#ifdef OVERDRAW_INSPECTOR\ngl_FragColor=vec4(1.0);\n#endif\n}","const float PI=3.141592653589793;attribute vec4 a_pos_offset;attribute vec4 a_data;attribute vec3 a_projected_pos;attribute float a_fade_opacity;uniform bool u_is_size_zoom_constant;uniform bool u_is_size_feature_constant;uniform highp float u_size_t;uniform highp float u_size;uniform mat4 u_matrix;uniform mat4 u_label_plane_matrix;uniform mat4 u_coord_matrix;uniform bool u_is_text;uniform bool u_pitch_with_map;uniform highp float u_pitch;uniform bool u_rotate_symbol;uniform highp float u_aspect_ratio;uniform highp float u_camera_to_center_distance;uniform float u_fade_change;uniform vec2 u_texsize;uniform vec2 u_texsize_icon;varying vec4 v_data0;varying vec4 v_data1;\n#pragma mapbox: define highp vec4 fill_color\n#pragma mapbox: define highp vec4 halo_color\n#pragma mapbox: define lowp float opacity\n#pragma mapbox: define lowp float halo_width\n#pragma mapbox: define lowp float halo_blur\nvoid main() {\n#pragma mapbox: initialize highp vec4 fill_color\n#pragma mapbox: initialize highp vec4 halo_color\n#pragma mapbox: initialize lowp float opacity\n#pragma mapbox: initialize lowp float halo_width\n#pragma mapbox: initialize lowp float halo_blur\nvec2 a_pos=a_pos_offset.xy;vec2 a_offset=a_pos_offset.zw;vec2 a_tex=a_data.xy;vec2 a_size=a_data.zw;float a_size_min=floor(a_size[0]*0.5);float is_sdf=a_size[0]-2.0*a_size_min;highp float segment_angle=-a_projected_pos[2];float size;if (!u_is_size_zoom_constant && !u_is_size_feature_constant) {size=mix(a_size_min,a_size[1],u_size_t)/128.0;} else if (u_is_size_zoom_constant && !u_is_size_feature_constant) {size=a_size_min/128.0;} else {size=u_size;}vec4 projectedPoint=u_matrix*vec4(a_pos,0,1);highp float camera_to_anchor_distance=projectedPoint.w;highp float distance_ratio=u_pitch_with_map ?\ncamera_to_anchor_distance/u_camera_to_center_distance :\nu_camera_to_center_distance/camera_to_anchor_distance;highp float perspective_ratio=clamp(0.5+0.5*distance_ratio,0.0,4.0);size*=perspective_ratio;float fontScale=size/24.0;highp float symbol_rotation=0.0;if (u_rotate_symbol) {vec4 offsetProjectedPoint=u_matrix*vec4(a_pos+vec2(1,0),0,1);vec2 a=projectedPoint.xy/projectedPoint.w;vec2 b=offsetProjectedPoint.xy/offsetProjectedPoint.w;symbol_rotation=atan((b.y-a.y)/u_aspect_ratio,b.x-a.x);}highp float angle_sin=sin(segment_angle+symbol_rotation);highp float angle_cos=cos(segment_angle+symbol_rotation);mat2 rotation_matrix=mat2(angle_cos,-1.0*angle_sin,angle_sin,angle_cos);vec4 projected_pos=u_label_plane_matrix*vec4(a_projected_pos.xy,0.0,1.0);gl_Position=u_coord_matrix*vec4(projected_pos.xy/projected_pos.w+rotation_matrix*(a_offset/32.0*fontScale),0.0,1.0);float gamma_scale=gl_Position.w;vec2 fade_opacity=unpack_opacity(a_fade_opacity);float fade_change=fade_opacity[1] > 0.5 ? u_fade_change :-u_fade_change;float interpolated_fade_opacity=max(0.0,min(1.0,fade_opacity[0]+fade_change));v_data0.xy=a_tex/u_texsize;v_data0.zw=a_tex/u_texsize_icon;v_data1=vec4(gamma_scale,size,interpolated_fade_opacity,is_sdf);}");function _r(t,e){var r=/#pragma mapbox: ([\w]+) ([\w]+) ([\w]+) ([\w]+)/g,n=e.match(/attribute ([\w]+) ([\w]+)/g),i=t.match(/uniform ([\w]+) ([\w]+)([\s]*)([\w]*)/g),a=e.match(/uniform ([\w]+) ([\w]+)([\s]*)([\w]*)/g),o=a?a.concat(i):i,s={};return{fragmentSource:t=t.replace(r,(function(t,e,r,n,i){return s[i]=!0,"define"===e?"\n#ifndef HAS_UNIFORM_u_"+i+"\nvarying "+r+" "+n+" "+i+";\n#else\nuniform "+r+" "+n+" u_"+i+";\n#endif\n":"\n#ifdef HAS_UNIFORM_u_"+i+"\n "+r+" "+n+" "+i+" = u_"+i+";\n#endif\n"})),vertexSource:e=e.replace(r,(function(t,e,r,n,i){var a="float"===n?"vec2":"vec4",o=i.match(/color/)?"color":a;return s[i]?"define"===e?"\n#ifndef HAS_UNIFORM_u_"+i+"\nuniform lowp float u_"+i+"_t;\nattribute "+r+" "+a+" a_"+i+";\nvarying "+r+" "+n+" "+i+";\n#else\nuniform "+r+" "+n+" u_"+i+";\n#endif\n":"vec4"===o?"\n#ifndef HAS_UNIFORM_u_"+i+"\n "+i+" = a_"+i+";\n#else\n "+r+" "+n+" "+i+" = u_"+i+";\n#endif\n":"\n#ifndef HAS_UNIFORM_u_"+i+"\n "+i+" = unpack_mix_"+o+"(a_"+i+", u_"+i+"_t);\n#else\n "+r+" "+n+" "+i+" = u_"+i+";\n#endif\n":"define"===e?"\n#ifndef HAS_UNIFORM_u_"+i+"\nuniform lowp float u_"+i+"_t;\nattribute "+r+" "+a+" a_"+i+";\n#else\nuniform "+r+" "+n+" u_"+i+";\n#endif\n":"vec4"===o?"\n#ifndef HAS_UNIFORM_u_"+i+"\n "+r+" "+n+" "+i+" = a_"+i+";\n#else\n "+r+" "+n+" "+i+" = u_"+i+";\n#endif\n":"\n#ifndef HAS_UNIFORM_u_"+i+"\n "+r+" "+n+" "+i+" = unpack_mix_"+o+"(a_"+i+", u_"+i+"_t);\n#else\n "+r+" "+n+" "+i+" = u_"+i+";\n#endif\n"})),staticAttributes:n,staticUniforms:o}}var wr=Object.freeze({__proto__:null,prelude:Ze,background:Ke,backgroundPattern:Je,circle:$e,clippingMask:Qe,heatmap:tr,heatmapTexture:er,collisionBox:rr,collisionCircle:nr,debug:ir,fill:ar,fillOutline:or,fillOutlinePattern:sr,fillPattern:lr,fillExtrusion:ur,fillExtrusionPattern:cr,hillshadePrepare:fr,hillshade:hr,line:pr,lineGradient:dr,linePattern:vr,lineSDF:gr,raster:yr,symbolIcon:mr,symbolSDF:xr,symbolTextAndIcon:br}),Tr=function(){this.boundProgram=null,this.boundLayoutVertexBuffer=null,this.boundPaintVertexBuffers=[],this.boundIndexBuffer=null,this.boundVertexOffset=null,this.boundDynamicVertexBuffer=null,this.vao=null};function kr(t){for(var e=[],r=0;r>16,s>>16],u_pixel_coord_lower:[65535&o,65535&s]}}Ar.prototype.draw=function(t,e,r,n,i,a,o,s,l,u,c,f,h,p,d,v){var g,y=t.gl;if(!this.failedToCreate){for(var m in t.program.set(this.program),t.setDepthMode(r),t.setStencilMode(n),t.setColorMode(i),t.setCullFace(a),this.fixedUniforms)this.fixedUniforms[m].set(o[m]);p&&p.setUniforms(t,this.binderUniforms,f,{zoom:h});for(var x=(g={},g[y.LINES]=2,g[y.TRIANGLES]=3,g[y.LINE_STRIP]=1,g)[e],b=0,_=c.get();b<_.length;b+=1){var w=_[b],T=w.vaos||(w.vaos={});(T[s]||(T[s]=new Tr)).bind(t,this,l,p?p.getPaintVertexBuffers():[],u,w.vertexOffset,d,v),y.drawElements(e,w.primitiveLength*x,y.UNSIGNED_SHORT,w.primitiveOffset*x*2)}}};var Sr=function(e,r,n,i){var a=r.style.light,o=a.properties.get("position"),s=[o.x,o.y,o.z],l=t.create$1();"viewport"===a.properties.get("anchor")&&t.fromRotation(l,-r.transform.angle),t.transformMat3(s,s,l);var u=a.properties.get("color");return{u_matrix:e,u_lightpos:s,u_lightintensity:a.properties.get("intensity"),u_lightcolor:[u.r,u.g,u.b],u_vertical_gradient:+n,u_opacity:i}},Er=function(e,r,n,i,a,o,s){return t.extend(Sr(e,r,n,i),Mr(o,r,s),{u_height_factor:-Math.pow(2,a.overscaledZ)/s.tileSize/8})},Lr=function(t){return{u_matrix:t}},Cr=function(e,r,n,i){return t.extend(Lr(e),Mr(n,r,i))},Pr=function(t,e){return{u_matrix:t,u_world:e}},Or=function(e,r,n,i,a){return t.extend(Cr(e,r,n,i),{u_world:a})},Ir=function(e,r,n,i){var a,o,s=e.transform;if("map"===i.paint.get("circle-pitch-alignment")){var l=ge(n,1,s.zoom);a=!0,o=[l,l]}else a=!1,o=s.pixelsToGLUnits;return{u_camera_to_center_distance:s.cameraToCenterDistance,u_scale_with_map:+("map"===i.paint.get("circle-pitch-scale")),u_matrix:e.translatePosMatrix(r.posMatrix,n,i.paint.get("circle-translate"),i.paint.get("circle-translate-anchor")),u_pitch_with_map:+a,u_device_pixel_ratio:t.browser.devicePixelRatio,u_extrude_scale:o}},Dr=function(t,e,r){var n=ge(r,1,e.zoom),i=Math.pow(2,e.zoom-r.tileID.overscaledZ),a=r.tileID.overscaleFactor();return{u_matrix:t,u_camera_to_center_distance:e.cameraToCenterDistance,u_pixels_to_tile_units:n,u_extrude_scale:[e.pixelsToGLUnits[0]/(n*i),e.pixelsToGLUnits[1]/(n*i)],u_overscale_factor:a}},zr=function(t,e,r){return{u_matrix:t,u_inv_matrix:e,u_camera_to_center_distance:r.cameraToCenterDistance,u_viewport_size:[r.width,r.height]}},Rr=function(t,e,r){return void 0===r&&(r=1),{u_matrix:t,u_color:e,u_overlay:0,u_overlay_scale:r}},Fr=function(t){return{u_matrix:t}},Br=function(t,e,r,n){return{u_matrix:t,u_extrude_scale:ge(e,1,r),u_intensity:n}},Nr=function(e,r,n,i){var a=t.create();t.ortho(a,0,e.width,e.height,0,0,1);var o=e.context.gl;return{u_matrix:a,u_world:[o.drawingBufferWidth,o.drawingBufferHeight],u_image:n,u_color_ramp:i,u_opacity:r.paint.get("heatmap-opacity")}},jr=function(e,r,n){var i=n.paint.get("hillshade-shadow-color"),a=n.paint.get("hillshade-highlight-color"),o=n.paint.get("hillshade-accent-color"),s=n.paint.get("hillshade-illumination-direction")*(Math.PI/180);"viewport"===n.paint.get("hillshade-illumination-anchor")&&(s-=e.transform.angle);var l,u,c,f=!e.options.moving;return{u_matrix:e.transform.calculatePosMatrix(r.tileID.toUnwrapped(),f),u_image:0,u_latrange:(l=r.tileID,u=Math.pow(2,l.canonical.z),c=l.canonical.y,[new t.MercatorCoordinate(0,c/u).toLngLat().lat,new t.MercatorCoordinate(0,(c+1)/u).toLngLat().lat]),u_light:[n.paint.get("hillshade-exaggeration"),s],u_shadow:i,u_highlight:a,u_accent:o}},Ur=function(e,r){var n=r.stride,i=t.create();return t.ortho(i,0,t.EXTENT,-t.EXTENT,0,0,1),t.translate(i,i,[0,-t.EXTENT,0]),{u_matrix:i,u_image:1,u_dimension:[n,n],u_zoom:e.overscaledZ,u_unpack:r.getUnpackVector()}};var Vr=function(e,r,n){var i=e.transform;return{u_matrix:Yr(e,r,n),u_ratio:1/ge(r,1,i.zoom),u_device_pixel_ratio:t.browser.devicePixelRatio,u_units_to_pixels:[1/i.pixelsToGLUnits[0],1/i.pixelsToGLUnits[1]]}},qr=function(e,r,n,i){return t.extend(Vr(e,r,n),{u_image:0,u_image_height:i})},Hr=function(e,r,n,i){var a=e.transform,o=Wr(r,a);return{u_matrix:Yr(e,r,n),u_texsize:r.imageAtlasTexture.size,u_ratio:1/ge(r,1,a.zoom),u_device_pixel_ratio:t.browser.devicePixelRatio,u_image:0,u_scale:[o,i.fromScale,i.toScale],u_fade:i.t,u_units_to_pixels:[1/a.pixelsToGLUnits[0],1/a.pixelsToGLUnits[1]]}},Gr=function(e,r,n,i,a){var o=e.transform,s=e.lineAtlas,l=Wr(r,o),u="round"===n.layout.get("line-cap"),c=s.getDash(i.from,u),f=s.getDash(i.to,u),h=c.width*a.fromScale,p=f.width*a.toScale;return t.extend(Vr(e,r,n),{u_patternscale_a:[l/h,-c.height/2],u_patternscale_b:[l/p,-f.height/2],u_sdfgamma:s.width/(256*Math.min(h,p)*t.browser.devicePixelRatio)/2,u_image:0,u_tex_y_a:c.y,u_tex_y_b:f.y,u_mix:a.t})};function Wr(t,e){return 1/ge(t,1,e.tileZoom)}function Yr(t,e,r){return t.translatePosMatrix(e.tileID.posMatrix,e,r.paint.get("line-translate"),r.paint.get("line-translate-anchor"))}var Xr=function(t,e,r,n,i){return{u_matrix:t,u_tl_parent:e,u_scale_parent:r,u_buffer_scale:1,u_fade_t:n.mix,u_opacity:n.opacity*i.paint.get("raster-opacity"),u_image0:0,u_image1:1,u_brightness_low:i.paint.get("raster-brightness-min"),u_brightness_high:i.paint.get("raster-brightness-max"),u_saturation_factor:(o=i.paint.get("raster-saturation"),o>0?1-1/(1.001-o):-o),u_contrast_factor:(a=i.paint.get("raster-contrast"),a>0?1/(1-a):1+a),u_spin_weights:Zr(i.paint.get("raster-hue-rotate"))};var a,o};function Zr(t){t*=Math.PI/180;var e=Math.sin(t),r=Math.cos(t);return[(2*r+1)/3,(-Math.sqrt(3)*e-r+1)/3,(Math.sqrt(3)*e-r+1)/3]}var Kr,Jr=function(t,e,r,n,i,a,o,s,l,u){var c=i.transform;return{u_is_size_zoom_constant:+("constant"===t||"source"===t),u_is_size_feature_constant:+("constant"===t||"camera"===t),u_size_t:e?e.uSizeT:0,u_size:e?e.uSize:0,u_camera_to_center_distance:c.cameraToCenterDistance,u_pitch:c.pitch/360*2*Math.PI,u_rotate_symbol:+r,u_aspect_ratio:c.width/c.height,u_fade_change:i.options.fadeDuration?i.symbolFadeChange:1,u_matrix:a,u_label_plane_matrix:o,u_coord_matrix:s,u_is_text:+l,u_pitch_with_map:+n,u_texsize:u,u_texture:0}},$r=function(e,r,n,i,a,o,s,l,u,c,f){var h=a.transform;return t.extend(Jr(e,r,n,i,a,o,s,l,u,c),{u_gamma_scale:i?Math.cos(h._pitch)*h.cameraToCenterDistance:1,u_device_pixel_ratio:t.browser.devicePixelRatio,u_is_halo:+f})},Qr=function(e,r,n,i,a,o,s,l,u,c){return t.extend($r(e,r,n,i,a,o,s,l,!0,u,!0),{u_texsize_icon:c,u_texture_icon:1})},tn=function(t,e,r){return{u_matrix:t,u_opacity:e,u_color:r}},en=function(e,r,n,i,a,o){return t.extend(function(t,e,r,n){var i=r.imageManager.getPattern(t.from.toString()),a=r.imageManager.getPattern(t.to.toString()),o=r.imageManager.getPixelSize(),s=o.width,l=o.height,u=Math.pow(2,n.tileID.overscaledZ),c=n.tileSize*Math.pow(2,r.transform.tileZoom)/u,f=c*(n.tileID.canonical.x+n.tileID.wrap*u),h=c*n.tileID.canonical.y;return{u_image:0,u_pattern_tl_a:i.tl,u_pattern_br_a:i.br,u_pattern_tl_b:a.tl,u_pattern_br_b:a.br,u_texsize:[s,l],u_mix:e.t,u_pattern_size_a:i.displaySize,u_pattern_size_b:a.displaySize,u_scale_a:e.fromScale,u_scale_b:e.toScale,u_tile_units_to_pixels:1/ge(n,1,r.transform.tileZoom),u_pixel_coord_upper:[f>>16,h>>16],u_pixel_coord_lower:[65535&f,65535&h]}}(i,o,n,a),{u_matrix:e,u_opacity:r})},rn={fillExtrusion:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_lightpos:new t.Uniform3f(e,r.u_lightpos),u_lightintensity:new t.Uniform1f(e,r.u_lightintensity),u_lightcolor:new t.Uniform3f(e,r.u_lightcolor),u_vertical_gradient:new t.Uniform1f(e,r.u_vertical_gradient),u_opacity:new t.Uniform1f(e,r.u_opacity)}},fillExtrusionPattern:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_lightpos:new t.Uniform3f(e,r.u_lightpos),u_lightintensity:new t.Uniform1f(e,r.u_lightintensity),u_lightcolor:new t.Uniform3f(e,r.u_lightcolor),u_vertical_gradient:new t.Uniform1f(e,r.u_vertical_gradient),u_height_factor:new t.Uniform1f(e,r.u_height_factor),u_image:new t.Uniform1i(e,r.u_image),u_texsize:new t.Uniform2f(e,r.u_texsize),u_pixel_coord_upper:new t.Uniform2f(e,r.u_pixel_coord_upper),u_pixel_coord_lower:new t.Uniform2f(e,r.u_pixel_coord_lower),u_scale:new t.Uniform3f(e,r.u_scale),u_fade:new t.Uniform1f(e,r.u_fade),u_opacity:new t.Uniform1f(e,r.u_opacity)}},fill:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix)}},fillPattern:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_image:new t.Uniform1i(e,r.u_image),u_texsize:new t.Uniform2f(e,r.u_texsize),u_pixel_coord_upper:new t.Uniform2f(e,r.u_pixel_coord_upper),u_pixel_coord_lower:new t.Uniform2f(e,r.u_pixel_coord_lower),u_scale:new t.Uniform3f(e,r.u_scale),u_fade:new t.Uniform1f(e,r.u_fade)}},fillOutline:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_world:new t.Uniform2f(e,r.u_world)}},fillOutlinePattern:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_world:new t.Uniform2f(e,r.u_world),u_image:new t.Uniform1i(e,r.u_image),u_texsize:new t.Uniform2f(e,r.u_texsize),u_pixel_coord_upper:new t.Uniform2f(e,r.u_pixel_coord_upper),u_pixel_coord_lower:new t.Uniform2f(e,r.u_pixel_coord_lower),u_scale:new t.Uniform3f(e,r.u_scale),u_fade:new t.Uniform1f(e,r.u_fade)}},circle:function(e,r){return{u_camera_to_center_distance:new t.Uniform1f(e,r.u_camera_to_center_distance),u_scale_with_map:new t.Uniform1i(e,r.u_scale_with_map),u_pitch_with_map:new t.Uniform1i(e,r.u_pitch_with_map),u_extrude_scale:new t.Uniform2f(e,r.u_extrude_scale),u_device_pixel_ratio:new t.Uniform1f(e,r.u_device_pixel_ratio),u_matrix:new t.UniformMatrix4f(e,r.u_matrix)}},collisionBox:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_camera_to_center_distance:new t.Uniform1f(e,r.u_camera_to_center_distance),u_pixels_to_tile_units:new t.Uniform1f(e,r.u_pixels_to_tile_units),u_extrude_scale:new t.Uniform2f(e,r.u_extrude_scale),u_overscale_factor:new t.Uniform1f(e,r.u_overscale_factor)}},collisionCircle:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_inv_matrix:new t.UniformMatrix4f(e,r.u_inv_matrix),u_camera_to_center_distance:new t.Uniform1f(e,r.u_camera_to_center_distance),u_viewport_size:new t.Uniform2f(e,r.u_viewport_size)}},debug:function(e,r){return{u_color:new t.UniformColor(e,r.u_color),u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_overlay:new t.Uniform1i(e,r.u_overlay),u_overlay_scale:new t.Uniform1f(e,r.u_overlay_scale)}},clippingMask:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix)}},heatmap:function(e,r){return{u_extrude_scale:new t.Uniform1f(e,r.u_extrude_scale),u_intensity:new t.Uniform1f(e,r.u_intensity),u_matrix:new t.UniformMatrix4f(e,r.u_matrix)}},heatmapTexture:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_world:new t.Uniform2f(e,r.u_world),u_image:new t.Uniform1i(e,r.u_image),u_color_ramp:new t.Uniform1i(e,r.u_color_ramp),u_opacity:new t.Uniform1f(e,r.u_opacity)}},hillshade:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_image:new t.Uniform1i(e,r.u_image),u_latrange:new t.Uniform2f(e,r.u_latrange),u_light:new t.Uniform2f(e,r.u_light),u_shadow:new t.UniformColor(e,r.u_shadow),u_highlight:new t.UniformColor(e,r.u_highlight),u_accent:new t.UniformColor(e,r.u_accent)}},hillshadePrepare:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_image:new t.Uniform1i(e,r.u_image),u_dimension:new t.Uniform2f(e,r.u_dimension),u_zoom:new t.Uniform1f(e,r.u_zoom),u_unpack:new t.Uniform4f(e,r.u_unpack)}},line:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_ratio:new t.Uniform1f(e,r.u_ratio),u_device_pixel_ratio:new t.Uniform1f(e,r.u_device_pixel_ratio),u_units_to_pixels:new t.Uniform2f(e,r.u_units_to_pixels)}},lineGradient:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_ratio:new t.Uniform1f(e,r.u_ratio),u_device_pixel_ratio:new t.Uniform1f(e,r.u_device_pixel_ratio),u_units_to_pixels:new t.Uniform2f(e,r.u_units_to_pixels),u_image:new t.Uniform1i(e,r.u_image),u_image_height:new t.Uniform1f(e,r.u_image_height)}},linePattern:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_texsize:new t.Uniform2f(e,r.u_texsize),u_ratio:new t.Uniform1f(e,r.u_ratio),u_device_pixel_ratio:new t.Uniform1f(e,r.u_device_pixel_ratio),u_image:new t.Uniform1i(e,r.u_image),u_units_to_pixels:new t.Uniform2f(e,r.u_units_to_pixels),u_scale:new t.Uniform3f(e,r.u_scale),u_fade:new t.Uniform1f(e,r.u_fade)}},lineSDF:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_ratio:new t.Uniform1f(e,r.u_ratio),u_device_pixel_ratio:new t.Uniform1f(e,r.u_device_pixel_ratio),u_units_to_pixels:new t.Uniform2f(e,r.u_units_to_pixels),u_patternscale_a:new t.Uniform2f(e,r.u_patternscale_a),u_patternscale_b:new t.Uniform2f(e,r.u_patternscale_b),u_sdfgamma:new t.Uniform1f(e,r.u_sdfgamma),u_image:new t.Uniform1i(e,r.u_image),u_tex_y_a:new t.Uniform1f(e,r.u_tex_y_a),u_tex_y_b:new t.Uniform1f(e,r.u_tex_y_b),u_mix:new t.Uniform1f(e,r.u_mix)}},raster:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_tl_parent:new t.Uniform2f(e,r.u_tl_parent),u_scale_parent:new t.Uniform1f(e,r.u_scale_parent),u_buffer_scale:new t.Uniform1f(e,r.u_buffer_scale),u_fade_t:new t.Uniform1f(e,r.u_fade_t),u_opacity:new t.Uniform1f(e,r.u_opacity),u_image0:new t.Uniform1i(e,r.u_image0),u_image1:new t.Uniform1i(e,r.u_image1),u_brightness_low:new t.Uniform1f(e,r.u_brightness_low),u_brightness_high:new t.Uniform1f(e,r.u_brightness_high),u_saturation_factor:new t.Uniform1f(e,r.u_saturation_factor),u_contrast_factor:new t.Uniform1f(e,r.u_contrast_factor),u_spin_weights:new t.Uniform3f(e,r.u_spin_weights)}},symbolIcon:function(e,r){return{u_is_size_zoom_constant:new t.Uniform1i(e,r.u_is_size_zoom_constant),u_is_size_feature_constant:new t.Uniform1i(e,r.u_is_size_feature_constant),u_size_t:new t.Uniform1f(e,r.u_size_t),u_size:new t.Uniform1f(e,r.u_size),u_camera_to_center_distance:new t.Uniform1f(e,r.u_camera_to_center_distance),u_pitch:new t.Uniform1f(e,r.u_pitch),u_rotate_symbol:new t.Uniform1i(e,r.u_rotate_symbol),u_aspect_ratio:new t.Uniform1f(e,r.u_aspect_ratio),u_fade_change:new t.Uniform1f(e,r.u_fade_change),u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_label_plane_matrix:new t.UniformMatrix4f(e,r.u_label_plane_matrix),u_coord_matrix:new t.UniformMatrix4f(e,r.u_coord_matrix),u_is_text:new t.Uniform1i(e,r.u_is_text),u_pitch_with_map:new t.Uniform1i(e,r.u_pitch_with_map),u_texsize:new t.Uniform2f(e,r.u_texsize),u_texture:new t.Uniform1i(e,r.u_texture)}},symbolSDF:function(e,r){return{u_is_size_zoom_constant:new t.Uniform1i(e,r.u_is_size_zoom_constant),u_is_size_feature_constant:new t.Uniform1i(e,r.u_is_size_feature_constant),u_size_t:new t.Uniform1f(e,r.u_size_t),u_size:new t.Uniform1f(e,r.u_size),u_camera_to_center_distance:new t.Uniform1f(e,r.u_camera_to_center_distance),u_pitch:new t.Uniform1f(e,r.u_pitch),u_rotate_symbol:new t.Uniform1i(e,r.u_rotate_symbol),u_aspect_ratio:new t.Uniform1f(e,r.u_aspect_ratio),u_fade_change:new t.Uniform1f(e,r.u_fade_change),u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_label_plane_matrix:new t.UniformMatrix4f(e,r.u_label_plane_matrix),u_coord_matrix:new t.UniformMatrix4f(e,r.u_coord_matrix),u_is_text:new t.Uniform1i(e,r.u_is_text),u_pitch_with_map:new t.Uniform1i(e,r.u_pitch_with_map),u_texsize:new t.Uniform2f(e,r.u_texsize),u_texture:new t.Uniform1i(e,r.u_texture),u_gamma_scale:new t.Uniform1f(e,r.u_gamma_scale),u_device_pixel_ratio:new t.Uniform1f(e,r.u_device_pixel_ratio),u_is_halo:new t.Uniform1i(e,r.u_is_halo)}},symbolTextAndIcon:function(e,r){return{u_is_size_zoom_constant:new t.Uniform1i(e,r.u_is_size_zoom_constant),u_is_size_feature_constant:new t.Uniform1i(e,r.u_is_size_feature_constant),u_size_t:new t.Uniform1f(e,r.u_size_t),u_size:new t.Uniform1f(e,r.u_size),u_camera_to_center_distance:new t.Uniform1f(e,r.u_camera_to_center_distance),u_pitch:new t.Uniform1f(e,r.u_pitch),u_rotate_symbol:new t.Uniform1i(e,r.u_rotate_symbol),u_aspect_ratio:new t.Uniform1f(e,r.u_aspect_ratio),u_fade_change:new t.Uniform1f(e,r.u_fade_change),u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_label_plane_matrix:new t.UniformMatrix4f(e,r.u_label_plane_matrix),u_coord_matrix:new t.UniformMatrix4f(e,r.u_coord_matrix),u_is_text:new t.Uniform1i(e,r.u_is_text),u_pitch_with_map:new t.Uniform1i(e,r.u_pitch_with_map),u_texsize:new t.Uniform2f(e,r.u_texsize),u_texsize_icon:new t.Uniform2f(e,r.u_texsize_icon),u_texture:new t.Uniform1i(e,r.u_texture),u_texture_icon:new t.Uniform1i(e,r.u_texture_icon),u_gamma_scale:new t.Uniform1f(e,r.u_gamma_scale),u_device_pixel_ratio:new t.Uniform1f(e,r.u_device_pixel_ratio),u_is_halo:new t.Uniform1i(e,r.u_is_halo)}},background:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_opacity:new t.Uniform1f(e,r.u_opacity),u_color:new t.UniformColor(e,r.u_color)}},backgroundPattern:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_opacity:new t.Uniform1f(e,r.u_opacity),u_image:new t.Uniform1i(e,r.u_image),u_pattern_tl_a:new t.Uniform2f(e,r.u_pattern_tl_a),u_pattern_br_a:new t.Uniform2f(e,r.u_pattern_br_a),u_pattern_tl_b:new t.Uniform2f(e,r.u_pattern_tl_b),u_pattern_br_b:new t.Uniform2f(e,r.u_pattern_br_b),u_texsize:new t.Uniform2f(e,r.u_texsize),u_mix:new t.Uniform1f(e,r.u_mix),u_pattern_size_a:new t.Uniform2f(e,r.u_pattern_size_a),u_pattern_size_b:new t.Uniform2f(e,r.u_pattern_size_b),u_scale_a:new t.Uniform1f(e,r.u_scale_a),u_scale_b:new t.Uniform1f(e,r.u_scale_b),u_pixel_coord_upper:new t.Uniform2f(e,r.u_pixel_coord_upper),u_pixel_coord_lower:new t.Uniform2f(e,r.u_pixel_coord_lower),u_tile_units_to_pixels:new t.Uniform1f(e,r.u_tile_units_to_pixels)}}};function nn(e,r,n,i,a,o,s){for(var l=e.context,u=l.gl,c=e.useProgram("collisionBox"),f=[],h=0,p=0,d=0;d0){var _=t.create(),w=m;t.mul(_,y.placementInvProjMatrix,e.transform.glCoordMatrix),t.mul(_,_,y.placementViewportMatrix),f.push({circleArray:b,circleOffset:p,transform:w,invTransform:_}),p=h+=b.length/4}x&&c.draw(l,u.LINES,Mt.disabled,Et.disabled,e.colorModeForRenderPass(),Ct.disabled,Dr(m,e.transform,g),n.id,x.layoutVertexBuffer,x.indexBuffer,x.segments,null,e.transform.zoom,null,null,x.collisionVertexBuffer)}}if(s&&f.length){var T=e.useProgram("collisionCircle"),k=new t.StructArrayLayout2f1f2i16;k.resize(4*h),k._trim();for(var A=0,M=0,S=f;M=0&&(v[y.associatedIconIndex]={shiftedAnchor:S,angle:E})}else he(y.numGlyphs,p)}if(f){d.clear();for(var C=e.icon.placedSymbolArray,P=0;P0){var s=t.browser.now(),l=(s-e.timeAdded)/o,u=r?(s-r.timeAdded)/o:-1,c=n.getSource(),f=a.coveringZoomLevel({tileSize:c.tileSize,roundZoom:c.roundZoom}),h=!r||Math.abs(r.tileID.overscaledZ-f)>Math.abs(e.tileID.overscaledZ-f),p=h&&e.refreshedUponExpiration?1:t.clamp(h?l:1-u,0,1);return e.refreshedUponExpiration&&l>=1&&(e.refreshedUponExpiration=!1),r?{opacity:1,mix:1-p}:{opacity:p,mix:0}}return{opacity:1,mix:0}}var gn=new t.Color(1,0,0,1),yn=new t.Color(0,1,0,1),mn=new t.Color(0,0,1,1),xn=new t.Color(1,0,1,1),bn=new t.Color(0,1,1,1);function _n(t){var e=t.transform.padding;wn(t,t.transform.height-(e.top||0),3,gn),wn(t,e.bottom||0,3,yn),Tn(t,e.left||0,3,mn),Tn(t,t.transform.width-(e.right||0),3,xn);var r=t.transform.centerPoint;!function(t,e,r,n){var i=20,a=2;kn(t,e-a/2,r-i/2,a,i,n),kn(t,e-i/2,r-a/2,i,a,n)}(t,r.x,t.transform.height-r.y,bn)}function wn(t,e,r,n){kn(t,0,e+r/2,t.transform.width,r,n)}function Tn(t,e,r,n){kn(t,e-r/2,0,r,t.transform.height,n)}function kn(e,r,n,i,a,o){var s=e.context,l=s.gl;l.enable(l.SCISSOR_TEST),l.scissor(r*t.browser.devicePixelRatio,n*t.browser.devicePixelRatio,i*t.browser.devicePixelRatio,a*t.browser.devicePixelRatio),s.clear({color:o}),l.disable(l.SCISSOR_TEST)}function An(e,r,n){var i=e.context,a=i.gl,o=n.posMatrix,s=e.useProgram("debug"),l=Mt.disabled,u=Et.disabled,c=e.colorModeForRenderPass(),f="$debug";i.activeTexture.set(a.TEXTURE0),e.emptyTexture.bind(a.LINEAR,a.CLAMP_TO_EDGE),s.draw(i,a.LINE_STRIP,l,u,c,Ct.disabled,Rr(o,t.Color.red),f,e.debugBuffer,e.tileBorderIndexBuffer,e.debugSegments);var h=r.getTileByID(n.key).latestRawTileData,p=h&&h.byteLength||0,d=Math.floor(p/1024),v=r.getTile(n).tileSize,g=512/Math.min(v,512)*(n.overscaledZ/e.transform.zoom)*.5,y=n.canonical.toString();n.overscaledZ!==n.canonical.z&&(y+=" => "+n.overscaledZ),function(t,e){t.initDebugOverlayCanvas();var r=t.debugOverlayCanvas,n=t.context.gl,i=t.debugOverlayCanvas.getContext("2d");i.clearRect(0,0,r.width,r.height),i.shadowColor="white",i.shadowBlur=2,i.lineWidth=1.5,i.strokeStyle="white",i.textBaseline="top",i.font="bold 36px Open Sans, sans-serif",i.fillText(e,5,5),i.strokeText(e,5,5),t.debugOverlayTexture.update(r),t.debugOverlayTexture.bind(n.LINEAR,n.CLAMP_TO_EDGE)}(e,y+" "+d+"kb"),s.draw(i,a.TRIANGLES,l,u,Lt.alphaBlended,Ct.disabled,Rr(o,t.Color.transparent,g),f,e.debugBuffer,e.quadTriangleIndexBuffer,e.debugSegments)}var Mn={symbol:function(e,r,n,i,a){if("translucent"===e.renderPass){var o=Et.disabled,s=e.colorModeForRenderPass();n.layout.get("text-variable-anchor")&&function(e,r,n,i,a,o,s){for(var l=r.transform,u="map"===a,c="map"===o,f=0,h=e;f256&&this.clearStencil(),r.setColorMode(Lt.disabled),r.setDepthMode(Mt.disabled);var i=this.useProgram("clippingMask");this._tileClippingMaskIDs={};for(var a=0,o=e;a256&&this.clearStencil();var t=this.nextStencilID++,e=this.context.gl;return new Et({func:e.NOTEQUAL,mask:255},t,255,e.KEEP,e.KEEP,e.REPLACE)},Sn.prototype.stencilModeForClipping=function(t){var e=this.context.gl;return new Et({func:e.EQUAL,mask:255},this._tileClippingMaskIDs[t.key],0,e.KEEP,e.KEEP,e.REPLACE)},Sn.prototype.stencilConfigForOverlap=function(t){var e,r=this.context.gl,n=t.sort((function(t,e){return e.overscaledZ-t.overscaledZ})),i=n[n.length-1].overscaledZ,a=n[0].overscaledZ-i+1;if(a>1){this.currentStencilSource=void 0,this.nextStencilID+a>256&&this.clearStencil();for(var o={},s=0;s=0;this.currentLayer--){var w=this.style._layers[i[this.currentLayer]],T=a[w.source],k=c[w.source];this._renderTileClippingMasks(w,k),this.renderLayer(this,T,w,k)}for(this.renderPass="translucent",this.currentLayer=0;this.currentLayer0?e.pop():null},Sn.prototype.isPatternMissing=function(t){if(!t)return!1;if(!t.from||!t.to)return!0;var e=this.imageManager.getPattern(t.from.toString()),r=this.imageManager.getPattern(t.to.toString());return!e||!r},Sn.prototype.useProgram=function(t,e){this.cache=this.cache||{};var r=""+t+(e?e.cacheKey:"")+(this._showOverdrawInspector?"/overdraw":"");return this.cache[r]||(this.cache[r]=new Ar(this.context,t,wr[t],e,rn[t],this._showOverdrawInspector)),this.cache[r]},Sn.prototype.setCustomLayerDefaults=function(){this.context.unbindVAO(),this.context.cullFace.setDefault(),this.context.activeTexture.setDefault(),this.context.pixelStoreUnpack.setDefault(),this.context.pixelStoreUnpackPremultiplyAlpha.setDefault(),this.context.pixelStoreUnpackFlipY.setDefault()},Sn.prototype.setBaseState=function(){var t=this.context.gl;this.context.cullFace.set(!1),this.context.viewport.set([0,0,this.width,this.height]),this.context.blendEquation.set(t.FUNC_ADD)},Sn.prototype.initDebugOverlayCanvas=function(){if(null==this.debugOverlayCanvas){this.debugOverlayCanvas=t.window.document.createElement("canvas"),this.debugOverlayCanvas.width=512,this.debugOverlayCanvas.height=512;var e=this.context.gl;this.debugOverlayTexture=new t.Texture(this.context,this.debugOverlayCanvas,e.RGBA)}},Sn.prototype.destroy=function(){this.emptyTexture.destroy(),this.debugOverlayTexture&&this.debugOverlayTexture.destroy()};var En=function(t,e){this.points=t,this.planes=e};En.fromInvProjectionMatrix=function(e,r,n){var i=Math.pow(2,n),a=[[-1,1,-1,1],[1,1,-1,1],[1,-1,-1,1],[-1,-1,-1,1],[-1,1,1,1],[1,1,1,1],[1,-1,1,1],[-1,-1,1,1]].map((function(r){return t.transformMat4([],r,e)})).map((function(e){return t.scale$1([],e,1/e[3]/r*i)})),o=[[0,1,2],[6,5,4],[0,3,7],[2,1,5],[3,2,6],[0,4,5]].map((function(e){var r=t.sub([],a[e[0]],a[e[1]]),n=t.sub([],a[e[2]],a[e[1]]),i=t.normalize([],t.cross([],r,n)),o=-t.dot(i,a[e[1]]);return i.concat(o)}));return new En(a,o)};var Ln=function(e,r){this.min=e,this.max=r,this.center=t.scale$2([],t.add([],this.min,this.max),.5)};Ln.prototype.quadrant=function(e){for(var r=[e%2==0,e<2],n=t.clone$2(this.min),i=t.clone$2(this.max),a=0;a=0;if(0===o)return 0;o!==r.length&&(n=!1)}if(n)return 2;for(var l=0;l<3;l++){for(var u=Number.MAX_VALUE,c=-Number.MAX_VALUE,f=0;fthis.max[l]-this.min[l])return 0}return 1};var Cn=function(t,e,r,n){if(void 0===t&&(t=0),void 0===e&&(e=0),void 0===r&&(r=0),void 0===n&&(n=0),isNaN(t)||t<0||isNaN(e)||e<0||isNaN(r)||r<0||isNaN(n)||n<0)throw new Error("Invalid value for edge-insets, top, bottom, left and right must all be numbers");this.top=t,this.bottom=e,this.left=r,this.right=n};Cn.prototype.interpolate=function(e,r,n){return null!=r.top&&null!=e.top&&(this.top=t.number(e.top,r.top,n)),null!=r.bottom&&null!=e.bottom&&(this.bottom=t.number(e.bottom,r.bottom,n)),null!=r.left&&null!=e.left&&(this.left=t.number(e.left,r.left,n)),null!=r.right&&null!=e.right&&(this.right=t.number(e.right,r.right,n)),this},Cn.prototype.getCenter=function(e,r){var n=t.clamp((this.left+e-this.right)/2,0,e),i=t.clamp((this.top+r-this.bottom)/2,0,r);return new t.Point(n,i)},Cn.prototype.equals=function(t){return this.top===t.top&&this.bottom===t.bottom&&this.left===t.left&&this.right===t.right},Cn.prototype.clone=function(){return new Cn(this.top,this.bottom,this.left,this.right)},Cn.prototype.toJSON=function(){return{top:this.top,bottom:this.bottom,left:this.left,right:this.right}};var Pn=function(e,r,n,i,a){this.tileSize=512,this.maxValidLatitude=85.051129,this._renderWorldCopies=void 0===a||a,this._minZoom=e||0,this._maxZoom=r||22,this._minPitch=null==n?0:n,this._maxPitch=null==i?60:i,this.setMaxBounds(),this.width=0,this.height=0,this._center=new t.LngLat(0,0),this.zoom=0,this.angle=0,this._fov=.6435011087932844,this._pitch=0,this._unmodified=!0,this._edgeInsets=new Cn,this._posMatrixCache={},this._alignedPosMatrixCache={}},On={minZoom:{configurable:!0},maxZoom:{configurable:!0},minPitch:{configurable:!0},maxPitch:{configurable:!0},renderWorldCopies:{configurable:!0},worldSize:{configurable:!0},centerOffset:{configurable:!0},size:{configurable:!0},bearing:{configurable:!0},pitch:{configurable:!0},fov:{configurable:!0},zoom:{configurable:!0},center:{configurable:!0},padding:{configurable:!0},centerPoint:{configurable:!0},unmodified:{configurable:!0},point:{configurable:!0}};Pn.prototype.clone=function(){var t=new Pn(this._minZoom,this._maxZoom,this._minPitch,this.maxPitch,this._renderWorldCopies);return t.tileSize=this.tileSize,t.latRange=this.latRange,t.width=this.width,t.height=this.height,t._center=this._center,t.zoom=this.zoom,t.angle=this.angle,t._fov=this._fov,t._pitch=this._pitch,t._unmodified=this._unmodified,t._edgeInsets=this._edgeInsets.clone(),t._calcMatrices(),t},On.minZoom.get=function(){return this._minZoom},On.minZoom.set=function(t){this._minZoom!==t&&(this._minZoom=t,this.zoom=Math.max(this.zoom,t))},On.maxZoom.get=function(){return this._maxZoom},On.maxZoom.set=function(t){this._maxZoom!==t&&(this._maxZoom=t,this.zoom=Math.min(this.zoom,t))},On.minPitch.get=function(){return this._minPitch},On.minPitch.set=function(t){this._minPitch!==t&&(this._minPitch=t,this.pitch=Math.max(this.pitch,t))},On.maxPitch.get=function(){return this._maxPitch},On.maxPitch.set=function(t){this._maxPitch!==t&&(this._maxPitch=t,this.pitch=Math.min(this.pitch,t))},On.renderWorldCopies.get=function(){return this._renderWorldCopies},On.renderWorldCopies.set=function(t){void 0===t?t=!0:null===t&&(t=!1),this._renderWorldCopies=t},On.worldSize.get=function(){return this.tileSize*this.scale},On.centerOffset.get=function(){return this.centerPoint._sub(this.size._div(2))},On.size.get=function(){return new t.Point(this.width,this.height)},On.bearing.get=function(){return-this.angle/Math.PI*180},On.bearing.set=function(e){var r=-t.wrap(e,-180,180)*Math.PI/180;this.angle!==r&&(this._unmodified=!1,this.angle=r,this._calcMatrices(),this.rotationMatrix=t.create$2(),t.rotate(this.rotationMatrix,this.rotationMatrix,this.angle))},On.pitch.get=function(){return this._pitch/Math.PI*180},On.pitch.set=function(e){var r=t.clamp(e,this.minPitch,this.maxPitch)/180*Math.PI;this._pitch!==r&&(this._unmodified=!1,this._pitch=r,this._calcMatrices())},On.fov.get=function(){return this._fov/Math.PI*180},On.fov.set=function(t){t=Math.max(.01,Math.min(60,t)),this._fov!==t&&(this._unmodified=!1,this._fov=t/180*Math.PI,this._calcMatrices())},On.zoom.get=function(){return this._zoom},On.zoom.set=function(t){var e=Math.min(Math.max(t,this.minZoom),this.maxZoom);this._zoom!==e&&(this._unmodified=!1,this._zoom=e,this.scale=this.zoomScale(e),this.tileZoom=Math.floor(e),this.zoomFraction=e-this.tileZoom,this._constrain(),this._calcMatrices())},On.center.get=function(){return this._center},On.center.set=function(t){t.lat===this._center.lat&&t.lng===this._center.lng||(this._unmodified=!1,this._center=t,this._constrain(),this._calcMatrices())},On.padding.get=function(){return this._edgeInsets.toJSON()},On.padding.set=function(t){this._edgeInsets.equals(t)||(this._unmodified=!1,this._edgeInsets.interpolate(this._edgeInsets,t,1),this._calcMatrices())},On.centerPoint.get=function(){return this._edgeInsets.getCenter(this.width,this.height)},Pn.prototype.isPaddingEqual=function(t){return this._edgeInsets.equals(t)},Pn.prototype.interpolatePadding=function(t,e,r){this._unmodified=!1,this._edgeInsets.interpolate(t,e,r),this._constrain(),this._calcMatrices()},Pn.prototype.coveringZoomLevel=function(t){var e=(t.roundZoom?Math.round:Math.floor)(this.zoom+this.scaleZoom(this.tileSize/t.tileSize));return Math.max(0,e)},Pn.prototype.getVisibleUnwrappedCoordinates=function(e){var r=[new t.UnwrappedTileID(0,e)];if(this._renderWorldCopies)for(var n=this.pointCoordinate(new t.Point(0,0)),i=this.pointCoordinate(new t.Point(this.width,0)),a=this.pointCoordinate(new t.Point(this.width,this.height)),o=this.pointCoordinate(new t.Point(0,this.height)),s=Math.floor(Math.min(n.x,i.x,a.x,o.x)),l=Math.floor(Math.max(n.x,i.x,a.x,o.x)),u=s-1;u<=l+1;u++)0!==u&&r.push(new t.UnwrappedTileID(u,e));return r},Pn.prototype.coveringTiles=function(e){var r=this.coveringZoomLevel(e),n=r;if(void 0!==e.minzoom&&re.maxzoom&&(r=e.maxzoom);var i=t.MercatorCoordinate.fromLngLat(this.center),a=Math.pow(2,r),o=[a*i.x,a*i.y,0],s=En.fromInvProjectionMatrix(this.invProjMatrix,this.worldSize,r),l=e.minzoom||0;this.pitch<=60&&this._edgeInsets.top<.1&&(l=r);var u=function(t){return{aabb:new Ln([t*a,0,0],[(t+1)*a,a,0]),zoom:0,x:0,y:0,wrap:t,fullyVisible:!1}},c=[],f=[],h=r,p=e.reparseOverscaled?n:r;if(this._renderWorldCopies)for(var d=1;d<=3;d++)c.push(u(-d)),c.push(u(d));for(c.push(u(0));c.length>0;){var v=c.pop(),g=v.x,y=v.y,m=v.fullyVisible;if(!m){var x=v.aabb.intersects(s);if(0===x)continue;m=2===x}var b=v.aabb.distanceX(o),_=v.aabb.distanceY(o),w=Math.max(Math.abs(b),Math.abs(_)),T=3+(1<T&&v.zoom>=l)f.push({tileID:new t.OverscaledTileID(v.zoom===h?p:v.zoom,v.wrap,v.zoom,g,y),distanceSq:t.sqrLen([o[0]-.5-g,o[1]-.5-y])});else for(var k=0;k<4;k++){var A=(g<<1)+k%2,M=(y<<1)+(k>>1);c.push({aabb:v.aabb.quadrant(k),zoom:v.zoom+1,x:A,y:M,wrap:v.wrap,fullyVisible:m})}}return f.sort((function(t,e){return t.distanceSq-e.distanceSq})).map((function(t){return t.tileID}))},Pn.prototype.resize=function(t,e){this.width=t,this.height=e,this.pixelsToGLUnits=[2/t,-2/e],this._constrain(),this._calcMatrices()},On.unmodified.get=function(){return this._unmodified},Pn.prototype.zoomScale=function(t){return Math.pow(2,t)},Pn.prototype.scaleZoom=function(t){return Math.log(t)/Math.LN2},Pn.prototype.project=function(e){var r=t.clamp(e.lat,-this.maxValidLatitude,this.maxValidLatitude);return new t.Point(t.mercatorXfromLng(e.lng)*this.worldSize,t.mercatorYfromLat(r)*this.worldSize)},Pn.prototype.unproject=function(e){return new t.MercatorCoordinate(e.x/this.worldSize,e.y/this.worldSize).toLngLat()},On.point.get=function(){return this.project(this.center)},Pn.prototype.setLocationAtPoint=function(e,r){var n=this.pointCoordinate(r),i=this.pointCoordinate(this.centerPoint),a=this.locationCoordinate(e),o=new t.MercatorCoordinate(a.x-(n.x-i.x),a.y-(n.y-i.y));this.center=this.coordinateLocation(o),this._renderWorldCopies&&(this.center=this.center.wrap())},Pn.prototype.locationPoint=function(t){return this.coordinatePoint(this.locationCoordinate(t))},Pn.prototype.pointLocation=function(t){return this.coordinateLocation(this.pointCoordinate(t))},Pn.prototype.locationCoordinate=function(e){return t.MercatorCoordinate.fromLngLat(e)},Pn.prototype.coordinateLocation=function(t){return t.toLngLat()},Pn.prototype.pointCoordinate=function(e){var r=[e.x,e.y,0,1],n=[e.x,e.y,1,1];t.transformMat4(r,r,this.pixelMatrixInverse),t.transformMat4(n,n,this.pixelMatrixInverse);var i=r[3],a=n[3],o=r[0]/i,s=n[0]/a,l=r[1]/i,u=n[1]/a,c=r[2]/i,f=n[2]/a,h=c===f?0:(0-c)/(f-c);return new t.MercatorCoordinate(t.number(o,s,h)/this.worldSize,t.number(l,u,h)/this.worldSize)},Pn.prototype.coordinatePoint=function(e){var r=[e.x*this.worldSize,e.y*this.worldSize,0,1];return t.transformMat4(r,r,this.pixelMatrix),new t.Point(r[0]/r[3],r[1]/r[3])},Pn.prototype.getBounds=function(){return(new t.LngLatBounds).extend(this.pointLocation(new t.Point(0,0))).extend(this.pointLocation(new t.Point(this.width,0))).extend(this.pointLocation(new t.Point(this.width,this.height))).extend(this.pointLocation(new t.Point(0,this.height)))},Pn.prototype.getMaxBounds=function(){return this.latRange&&2===this.latRange.length&&this.lngRange&&2===this.lngRange.length?new t.LngLatBounds([this.lngRange[0],this.latRange[0]],[this.lngRange[1],this.latRange[1]]):null},Pn.prototype.setMaxBounds=function(t){t?(this.lngRange=[t.getWest(),t.getEast()],this.latRange=[t.getSouth(),t.getNorth()],this._constrain()):(this.lngRange=null,this.latRange=[-this.maxValidLatitude,this.maxValidLatitude])},Pn.prototype.calculatePosMatrix=function(e,r){void 0===r&&(r=!1);var n=e.key,i=r?this._alignedPosMatrixCache:this._posMatrixCache;if(i[n])return i[n];var a=e.canonical,o=this.worldSize/this.zoomScale(a.z),s=a.x+Math.pow(2,a.z)*e.wrap,l=t.identity(new Float64Array(16));return t.translate(l,l,[s*o,a.y*o,0]),t.scale(l,l,[o/t.EXTENT,o/t.EXTENT,1]),t.multiply(l,r?this.alignedProjMatrix:this.projMatrix,l),i[n]=new Float32Array(l),i[n]},Pn.prototype.customLayerMatrix=function(){return this.mercatorMatrix.slice()},Pn.prototype._constrain=function(){if(this.center&&this.width&&this.height&&!this._constraining){this._constraining=!0;var e,r,n,i,a=-90,o=90,s=-180,l=180,u=this.size,c=this._unmodified;if(this.latRange){var f=this.latRange;a=t.mercatorYfromLat(f[1])*this.worldSize,e=(o=t.mercatorYfromLat(f[0])*this.worldSize)-ao&&(i=o-g)}if(this.lngRange){var y=p.x,m=u.x/2;y-ml&&(n=l-m)}void 0===n&&void 0===i||(this.center=this.unproject(new t.Point(void 0!==n?n:p.x,void 0!==i?i:p.y))),this._unmodified=c,this._constraining=!1}},Pn.prototype._calcMatrices=function(){if(this.height){var e=this._fov/2,r=this.centerOffset;this.cameraToCenterDistance=.5/Math.tan(e)*this.height;var n=Math.PI/2+this._pitch,i=this._fov*(.5+r.y/this.height),a=Math.sin(i)*this.cameraToCenterDistance/Math.sin(t.clamp(Math.PI-n-i,.01,Math.PI-.01)),o=this.point,s=o.x,l=o.y,u=1.01*(Math.cos(Math.PI/2-this._pitch)*a+this.cameraToCenterDistance),c=this.height/50,f=new Float64Array(16);t.perspective(f,this._fov,this.width/this.height,c,u),f[8]=2*-r.x/this.width,f[9]=2*r.y/this.height,t.scale(f,f,[1,-1,1]),t.translate(f,f,[0,0,-this.cameraToCenterDistance]),t.rotateX(f,f,this._pitch),t.rotateZ(f,f,this.angle),t.translate(f,f,[-s,-l,0]),this.mercatorMatrix=t.scale([],f,[this.worldSize,this.worldSize,this.worldSize]),t.scale(f,f,[1,1,t.mercatorZfromAltitude(1,this.center.lat)*this.worldSize,1]),this.projMatrix=f,this.invProjMatrix=t.invert([],this.projMatrix);var h=this.width%2/2,p=this.height%2/2,d=Math.cos(this.angle),v=Math.sin(this.angle),g=s-Math.round(s)+d*h+v*p,y=l-Math.round(l)+d*p+v*h,m=new Float64Array(f);if(t.translate(m,m,[g>.5?g-1:g,y>.5?y-1:y,0]),this.alignedProjMatrix=m,f=t.create(),t.scale(f,f,[this.width/2,-this.height/2,1]),t.translate(f,f,[1,-1,0]),this.labelPlaneMatrix=f,f=t.create(),t.scale(f,f,[1,-1,1]),t.translate(f,f,[-1,-1,0]),t.scale(f,f,[2/this.width,2/this.height,1]),this.glCoordMatrix=f,this.pixelMatrix=t.multiply(new Float64Array(16),this.labelPlaneMatrix,this.projMatrix),!(f=t.invert(new Float64Array(16),this.pixelMatrix)))throw new Error("failed to invert matrix");this.pixelMatrixInverse=f,this._posMatrixCache={},this._alignedPosMatrixCache={}}},Pn.prototype.maxPitchScaleFactor=function(){if(!this.pixelMatrixInverse)return 1;var e=this.pointCoordinate(new t.Point(0,0)),r=[e.x*this.worldSize,e.y*this.worldSize,0,1];return t.transformMat4(r,r,this.pixelMatrix)[3]/this.cameraToCenterDistance},Pn.prototype.getCameraPoint=function(){var e=this._pitch,r=Math.tan(e)*(this.cameraToCenterDistance||1);return this.centerPoint.add(new t.Point(0,r))},Pn.prototype.getCameraQueryGeometry=function(e){var r=this.getCameraPoint();if(1===e.length)return[e[0],r];for(var n=r.x,i=r.y,a=r.x,o=r.y,s=0,l=e;s=3&&!t.some((function(t){return isNaN(t)}))){var e=this._map.dragRotate.isEnabled()&&this._map.touchZoomRotate.isEnabled()?+(t[3]||0):this._map.getBearing();return this._map.jumpTo({center:[+t[2],+t[1]],zoom:+t[0],bearing:e,pitch:+(t[4]||0)}),!0}return!1},In.prototype._updateHashUnthrottled=function(){var e=t.window.location.href.replace(/(#.+)?$/,this.getHashString());try{t.window.history.replaceState(t.window.history.state,null,e)}catch(t){}};var Dn={linearity:.3,easing:t.bezier(0,0,.3,1)},zn=t.extend({deceleration:2500,maxSpeed:1400},Dn),Rn=t.extend({deceleration:20,maxSpeed:1400},Dn),Fn=t.extend({deceleration:1e3,maxSpeed:360},Dn),Bn=t.extend({deceleration:1e3,maxSpeed:90},Dn),Nn=function(t){this._map=t,this.clear()};function jn(t,e){(!t.duration||t.duration0&&r-e[0].time>160;)e.shift()},Nn.prototype._onMoveEnd=function(e){if(this._drainInertiaBuffer(),!(this._inertiaBuffer.length<2)){for(var r={zoom:0,bearing:0,pitch:0,pan:new t.Point(0,0),pinchAround:void 0,around:void 0},n=0,i=this._inertiaBuffer;n=this._clickTolerance||this._map.fire(new Vn(t.type,this._map,t))},Gn.prototype.dblclick=function(t){return this._firePreventable(new Vn(t.type,this._map,t))},Gn.prototype.mouseover=function(t){this._map.fire(new Vn(t.type,this._map,t))},Gn.prototype.mouseout=function(t){this._map.fire(new Vn(t.type,this._map,t))},Gn.prototype.touchstart=function(t){return this._firePreventable(new qn(t.type,this._map,t))},Gn.prototype.touchmove=function(t){this._map.fire(new qn(t.type,this._map,t))},Gn.prototype.touchend=function(t){this._map.fire(new qn(t.type,this._map,t))},Gn.prototype.touchcancel=function(t){this._map.fire(new qn(t.type,this._map,t))},Gn.prototype._firePreventable=function(t){if(this._map.fire(t),t.defaultPrevented)return{}},Gn.prototype.isEnabled=function(){return!0},Gn.prototype.isActive=function(){return!1},Gn.prototype.enable=function(){},Gn.prototype.disable=function(){};var Wn=function(t){this._map=t};Wn.prototype.reset=function(){this._delayContextMenu=!1,delete this._contextMenuEvent},Wn.prototype.mousemove=function(t){this._map.fire(new Vn(t.type,this._map,t))},Wn.prototype.mousedown=function(){this._delayContextMenu=!0},Wn.prototype.mouseup=function(){this._delayContextMenu=!1,this._contextMenuEvent&&(this._map.fire(new Vn("contextmenu",this._map,this._contextMenuEvent)),delete this._contextMenuEvent)},Wn.prototype.contextmenu=function(t){this._delayContextMenu?this._contextMenuEvent=t:this._map.fire(new Vn(t.type,this._map,t)),this._map.listens("contextmenu")&&t.preventDefault()},Wn.prototype.isEnabled=function(){return!0},Wn.prototype.isActive=function(){return!1},Wn.prototype.enable=function(){},Wn.prototype.disable=function(){};var Yn=function(t,e){this._map=t,this._el=t.getCanvasContainer(),this._container=t.getContainer(),this._clickTolerance=e.clickTolerance||1};function Xn(t,e){for(var r={},n=0;nthis.numTouches)&&(this.aborted=!0),this.aborted||(void 0===this.startTime&&(this.startTime=e.timeStamp),n.length===this.numTouches&&(this.centroid=function(e){for(var r=new t.Point(0,0),n=0,i=e;n30)&&(this.aborted=!0)}}},Zn.prototype.touchend=function(t,e,r){if((!this.centroid||t.timeStamp-this.startTime>500)&&(this.aborted=!0),0===r.length){var n=!this.aborted&&this.centroid;if(this.reset(),n)return n}};var Kn=function(t){this.singleTap=new Zn(t),this.numTaps=t.numTaps,this.reset()};Kn.prototype.reset=function(){this.lastTime=1/0,delete this.lastTap,this.count=0,this.singleTap.reset()},Kn.prototype.touchstart=function(t,e,r){this.singleTap.touchstart(t,e,r)},Kn.prototype.touchmove=function(t,e,r){this.singleTap.touchmove(t,e,r)},Kn.prototype.touchend=function(t,e,r){var n=this.singleTap.touchend(t,e,r);if(n){var i=t.timeStamp-this.lastTime<500,a=!this.lastTap||this.lastTap.dist(n)<30;if(i&&a||this.reset(),this.count++,this.lastTime=t.timeStamp,this.lastTap=n,this.count===this.numTaps)return this.reset(),n}};var Jn=function(){this._zoomIn=new Kn({numTouches:1,numTaps:2}),this._zoomOut=new Kn({numTouches:2,numTaps:1}),this.reset()};Jn.prototype.reset=function(){this._active=!1,this._zoomIn.reset(),this._zoomOut.reset()},Jn.prototype.touchstart=function(t,e,r){this._zoomIn.touchstart(t,e,r),this._zoomOut.touchstart(t,e,r)},Jn.prototype.touchmove=function(t,e,r){this._zoomIn.touchmove(t,e,r),this._zoomOut.touchmove(t,e,r)},Jn.prototype.touchend=function(t,e,r){var n=this,i=this._zoomIn.touchend(t,e,r),a=this._zoomOut.touchend(t,e,r);return i?(this._active=!0,t.preventDefault(),setTimeout((function(){return n.reset()}),0),{cameraAnimation:function(e){return e.easeTo({duration:300,zoom:e.getZoom()+1,around:e.unproject(i)},{originalEvent:t})}}):a?(this._active=!0,t.preventDefault(),setTimeout((function(){return n.reset()}),0),{cameraAnimation:function(e){return e.easeTo({duration:300,zoom:e.getZoom()-1,around:e.unproject(a)},{originalEvent:t})}}):void 0},Jn.prototype.touchcancel=function(){this.reset()},Jn.prototype.enable=function(){this._enabled=!0},Jn.prototype.disable=function(){this._enabled=!1,this.reset()},Jn.prototype.isEnabled=function(){return this._enabled},Jn.prototype.isActive=function(){return this._active};var $n={};$n[0]=1,$n[2]=2;var Qn=function(t){this.reset(),this._clickTolerance=t.clickTolerance||1};Qn.prototype.reset=function(){this._active=!1,this._moved=!1,delete this._lastPoint,delete this._eventButton},Qn.prototype._correctButton=function(t,e){return!1},Qn.prototype._move=function(t,e){return{}},Qn.prototype.mousedown=function(t,e){if(!this._lastPoint){var n=r.mouseButton(t);this._correctButton(t,n)&&(this._lastPoint=e,this._eventButton=n)}},Qn.prototype.mousemoveWindow=function(t,e){var r=this._lastPoint;if(r)if(t.preventDefault(),function(t,e){var r=$n[e];return void 0===t.buttons||(t.buttons&r)!==r}(t,this._eventButton))this.reset();else if(this._moved||!(e.dist(r)0&&(this._active=!0);var i=Xn(n,r),a=new t.Point(0,0),o=new t.Point(0,0),s=0;for(var l in i){var u=i[l],c=this._touches[l];c&&(a._add(u),o._add(u.sub(c)),s++,i[l]=u)}if(this._touches=i,!(sMath.abs(t.x)}var fi=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.reset=function(){t.prototype.reset.call(this),this._valid=void 0,delete this._firstMove,delete this._lastPoints},e.prototype._start=function(t){this._lastPoints=t,ci(t[0].sub(t[1]))&&(this._valid=!1)},e.prototype._move=function(t,e,r){var n=t[0].sub(this._lastPoints[0]),i=t[1].sub(this._lastPoints[1]);if(this._valid=this.gestureBeginsVertically(n,i,r.timeStamp),this._valid)return this._lastPoints=t,this._active=!0,{pitchDelta:(n.y+i.y)/2*-.5}},e.prototype.gestureBeginsVertically=function(t,e,r){if(void 0!==this._valid)return this._valid;var n=t.mag()>=2,i=e.mag()>=2;if(n||i){if(!n||!i)return void 0===this._firstMove&&(this._firstMove=r),r-this._firstMove<100&&void 0;var a=t.y>0==e.y>0;return ci(t)&&ci(e)&&a}},e}(ii),hi={panStep:100,bearingStep:15,pitchStep:10},pi=function(){var t=hi;this._panStep=t.panStep,this._bearingStep=t.bearingStep,this._pitchStep=t.pitchStep,this._rotationDisabled=!1};function di(t){return t*(2-t)}pi.prototype.reset=function(){this._active=!1},pi.prototype.keydown=function(t){var e=this;if(!(t.altKey||t.ctrlKey||t.metaKey)){var r=0,n=0,i=0,a=0,o=0;switch(t.keyCode){case 61:case 107:case 171:case 187:r=1;break;case 189:case 109:case 173:r=-1;break;case 37:t.shiftKey?n=-1:(t.preventDefault(),a=-1);break;case 39:t.shiftKey?n=1:(t.preventDefault(),a=1);break;case 38:t.shiftKey?i=1:(t.preventDefault(),o=-1);break;case 40:t.shiftKey?i=-1:(t.preventDefault(),o=1);break;default:return}return this._rotationDisabled&&(n=0,i=0),{cameraAnimation:function(s){var l=s.getZoom();s.easeTo({duration:300,easeId:"keyboardHandler",easing:di,zoom:r?Math.round(l)+r*(t.shiftKey?2:1):l,bearing:s.getBearing()+n*e._bearingStep,pitch:s.getPitch()+i*e._pitchStep,offset:[-a*e._panStep,-o*e._panStep],center:s.getCenter()},{originalEvent:t})}}}},pi.prototype.enable=function(){this._enabled=!0},pi.prototype.disable=function(){this._enabled=!1,this.reset()},pi.prototype.isEnabled=function(){return this._enabled},pi.prototype.isActive=function(){return this._active},pi.prototype.disableRotation=function(){this._rotationDisabled=!0},pi.prototype.enableRotation=function(){this._rotationDisabled=!1};var vi=4.000244140625,gi=function(e,r){this._map=e,this._el=e.getCanvasContainer(),this._handler=r,this._delta=0,this._defaultZoomRate=.01,this._wheelZoomRate=.0022222222222222222,t.bindAll(["_onTimeout"],this)};gi.prototype.setZoomRate=function(t){this._defaultZoomRate=t},gi.prototype.setWheelZoomRate=function(t){this._wheelZoomRate=t},gi.prototype.isEnabled=function(){return!!this._enabled},gi.prototype.isActive=function(){return!!this._active||void 0!==this._finishTimeout},gi.prototype.isZooming=function(){return!!this._zooming},gi.prototype.enable=function(t){this.isEnabled()||(this._enabled=!0,this._aroundCenter=t&&"center"===t.around)},gi.prototype.disable=function(){this.isEnabled()&&(this._enabled=!1)},gi.prototype.wheel=function(e){if(this.isEnabled()){var r=e.deltaMode===t.window.WheelEvent.DOM_DELTA_LINE?40*e.deltaY:e.deltaY,n=t.browser.now(),i=n-(this._lastWheelEventTime||0);this._lastWheelEventTime=n,0!==r&&r%vi==0?this._type="wheel":0!==r&&Math.abs(r)<4?this._type="trackpad":i>400?(this._type=null,this._lastValue=r,this._timeout=setTimeout(this._onTimeout,40,e)):this._type||(this._type=Math.abs(i*r)<200?"trackpad":"wheel",this._timeout&&(clearTimeout(this._timeout),this._timeout=null,r+=this._lastValue)),e.shiftKey&&r&&(r/=4),this._type&&(this._lastWheelEvent=e,this._delta-=r,this._active||this._start(e)),e.preventDefault()}},gi.prototype._onTimeout=function(t){this._type="wheel",this._delta-=this._lastValue,this._active||this._start(t)},gi.prototype._start=function(e){if(this._delta){this._frameId&&(this._frameId=null),this._active=!0,this.isZooming()||(this._zooming=!0),this._finishTimeout&&(clearTimeout(this._finishTimeout),delete this._finishTimeout);var n=r.mousePos(this._el,e);this._around=t.LngLat.convert(this._aroundCenter?this._map.getCenter():this._map.unproject(n)),this._aroundPoint=this._map.transform.locationPoint(this._around),this._frameId||(this._frameId=!0,this._handler._triggerRenderFrame())}},gi.prototype.renderFrame=function(){var e=this;if(this._frameId&&(this._frameId=null,this.isActive())){var r=this._map.transform;if(0!==this._delta){var n="wheel"===this._type&&Math.abs(this._delta)>vi?this._wheelZoomRate:this._defaultZoomRate,i=2/(1+Math.exp(-Math.abs(this._delta*n)));this._delta<0&&0!==i&&(i=1/i);var a="number"==typeof this._targetZoom?r.zoomScale(this._targetZoom):r.scale;this._targetZoom=Math.min(r.maxZoom,Math.max(r.minZoom,r.scaleZoom(a*i))),"wheel"===this._type&&(this._startZoom=r.zoom,this._easing=this._smoothOutEasing(200)),this._delta=0}var o,s="number"==typeof this._targetZoom?this._targetZoom:r.zoom,l=this._startZoom,u=this._easing,c=!1;if("wheel"===this._type&&l&&u){var f=Math.min((t.browser.now()-this._lastWheelEventTime)/200,1),h=u(f);o=t.number(l,s,h),f<1?this._frameId||(this._frameId=!0):c=!0}else o=s,c=!0;return this._active=!0,c&&(this._active=!1,this._finishTimeout=setTimeout((function(){e._zooming=!1,e._handler._triggerRenderFrame(),delete e._targetZoom,delete e._finishTimeout}),200)),{noInertia:!0,needsRenderFrame:!c,zoomDelta:o-r.zoom,around:this._aroundPoint,originalEvent:this._lastWheelEvent}}},gi.prototype._smoothOutEasing=function(e){var r=t.ease;if(this._prevEase){var n=this._prevEase,i=(t.browser.now()-n.start)/n.duration,a=n.easing(i+.01)-n.easing(i),o=.27/Math.sqrt(a*a+1e-4)*.01,s=Math.sqrt(.0729-o*o);r=t.bezier(o,s,.25,1)}return this._prevEase={start:t.browser.now(),duration:e,easing:r},r},gi.prototype.reset=function(){this._active=!1};var yi=function(t,e){this._clickZoom=t,this._tapZoom=e};yi.prototype.enable=function(){this._clickZoom.enable(),this._tapZoom.enable()},yi.prototype.disable=function(){this._clickZoom.disable(),this._tapZoom.disable()},yi.prototype.isEnabled=function(){return this._clickZoom.isEnabled()&&this._tapZoom.isEnabled()},yi.prototype.isActive=function(){return this._clickZoom.isActive()||this._tapZoom.isActive()};var mi=function(){this.reset()};mi.prototype.reset=function(){this._active=!1},mi.prototype.dblclick=function(t,e){return t.preventDefault(),{cameraAnimation:function(r){r.easeTo({duration:300,zoom:r.getZoom()+(t.shiftKey?-1:1),around:r.unproject(e)},{originalEvent:t})}}},mi.prototype.enable=function(){this._enabled=!0},mi.prototype.disable=function(){this._enabled=!1,this.reset()},mi.prototype.isEnabled=function(){return this._enabled},mi.prototype.isActive=function(){return this._active};var xi=function(){this._tap=new Kn({numTouches:1,numTaps:1}),this.reset()};xi.prototype.reset=function(){this._active=!1,delete this._swipePoint,delete this._swipeTouch,delete this._tapTime,this._tap.reset()},xi.prototype.touchstart=function(t,e,r){this._swipePoint||(this._tapTime&&t.timeStamp-this._tapTime>500&&this.reset(),this._tapTime?r.length>0&&(this._swipePoint=e[0],this._swipeTouch=r[0].identifier):this._tap.touchstart(t,e,r))},xi.prototype.touchmove=function(t,e,r){if(this._tapTime){if(this._swipePoint){if(r[0].identifier!==this._swipeTouch)return;var n=e[0],i=n.y-this._swipePoint.y;return this._swipePoint=n,t.preventDefault(),this._active=!0,{zoomDelta:i/128}}}else this._tap.touchmove(t,e,r)},xi.prototype.touchend=function(t,e,r){this._tapTime?this._swipePoint&&0===r.length&&this.reset():this._tap.touchend(t,e,r)&&(this._tapTime=t.timeStamp)},xi.prototype.touchcancel=function(){this.reset()},xi.prototype.enable=function(){this._enabled=!0},xi.prototype.disable=function(){this._enabled=!1,this.reset()},xi.prototype.isEnabled=function(){return this._enabled},xi.prototype.isActive=function(){return this._active};var bi=function(t,e,r){this._el=t,this._mousePan=e,this._touchPan=r};bi.prototype.enable=function(t){this._inertiaOptions=t||{},this._mousePan.enable(),this._touchPan.enable(),this._el.classList.add("mapboxgl-touch-drag-pan")},bi.prototype.disable=function(){this._mousePan.disable(),this._touchPan.disable(),this._el.classList.remove("mapboxgl-touch-drag-pan")},bi.prototype.isEnabled=function(){return this._mousePan.isEnabled()&&this._touchPan.isEnabled()},bi.prototype.isActive=function(){return this._mousePan.isActive()||this._touchPan.isActive()};var _i=function(t,e,r){this._pitchWithRotate=t.pitchWithRotate,this._mouseRotate=e,this._mousePitch=r};_i.prototype.enable=function(){this._mouseRotate.enable(),this._pitchWithRotate&&this._mousePitch.enable()},_i.prototype.disable=function(){this._mouseRotate.disable(),this._mousePitch.disable()},_i.prototype.isEnabled=function(){return this._mouseRotate.isEnabled()&&(!this._pitchWithRotate||this._mousePitch.isEnabled())},_i.prototype.isActive=function(){return this._mouseRotate.isActive()||this._mousePitch.isActive()};var wi=function(t,e,r,n){this._el=t,this._touchZoom=e,this._touchRotate=r,this._tapDragZoom=n,this._rotationDisabled=!1,this._enabled=!0};wi.prototype.enable=function(t){this._touchZoom.enable(t),this._rotationDisabled||this._touchRotate.enable(t),this._tapDragZoom.enable(),this._el.classList.add("mapboxgl-touch-zoom-rotate")},wi.prototype.disable=function(){this._touchZoom.disable(),this._touchRotate.disable(),this._tapDragZoom.disable(),this._el.classList.remove("mapboxgl-touch-zoom-rotate")},wi.prototype.isEnabled=function(){return this._touchZoom.isEnabled()&&(this._rotationDisabled||this._touchRotate.isEnabled())&&this._tapDragZoom.isEnabled()},wi.prototype.isActive=function(){return this._touchZoom.isActive()||this._touchRotate.isActive()||this._tapDragZoom.isActive()},wi.prototype.disableRotation=function(){this._rotationDisabled=!0,this._touchRotate.disable()},wi.prototype.enableRotation=function(){this._rotationDisabled=!1,this._touchZoom.isEnabled()&&this._touchRotate.enable()};var Ti=function(t){return t.zoom||t.drag||t.pitch||t.rotate},ki=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e}(t.Event);function Ai(t){return t.panDelta&&t.panDelta.mag()||t.zoomDelta||t.bearingDelta||t.pitchDelta}var Mi=function(e,n){this._map=e,this._el=this._map.getCanvasContainer(),this._handlers=[],this._handlersById={},this._changes=[],this._inertia=new Nn(e),this._bearingSnap=n.bearingSnap,this._previousActiveHandlers={},this._eventsInProgress={},this._addDefaultHandlers(n),t.bindAll(["handleEvent","handleWindowEvent"],this);var i=this._el;this._listeners=[[i,"touchstart",{passive:!0}],[i,"touchmove",{passive:!1}],[i,"touchend",void 0],[i,"touchcancel",void 0],[i,"mousedown",void 0],[i,"mousemove",void 0],[i,"mouseup",void 0],[t.window.document,"mousemove",{capture:!0}],[t.window.document,"mouseup",void 0],[i,"mouseover",void 0],[i,"mouseout",void 0],[i,"dblclick",void 0],[i,"click",void 0],[i,"keydown",{capture:!1}],[i,"keyup",void 0],[i,"wheel",{passive:!1}],[i,"contextmenu",void 0],[t.window,"blur",void 0]];for(var a=0,o=this._listeners;aa?Math.min(2,_):Math.max(.5,_),w=Math.pow(g,1-e),T=i.unproject(x.add(b.mult(e*w)).mult(v));i.setLocationAtPoint(i.renderWorldCopies?T.wrap():T,d)}n._fireMoveEvents(r)}),(function(t){n._afterEase(r,t)}),e),this},r.prototype._prepareEase=function(e,r,n){void 0===n&&(n={}),this._moving=!0,r||n.moving||this.fire(new t.Event("movestart",e)),this._zooming&&!n.zooming&&this.fire(new t.Event("zoomstart",e)),this._rotating&&!n.rotating&&this.fire(new t.Event("rotatestart",e)),this._pitching&&!n.pitching&&this.fire(new t.Event("pitchstart",e))},r.prototype._fireMoveEvents=function(e){this.fire(new t.Event("move",e)),this._zooming&&this.fire(new t.Event("zoom",e)),this._rotating&&this.fire(new t.Event("rotate",e)),this._pitching&&this.fire(new t.Event("pitch",e))},r.prototype._afterEase=function(e,r){if(!this._easeId||!r||this._easeId!==r){delete this._easeId;var n=this._zooming,i=this._rotating,a=this._pitching;this._moving=!1,this._zooming=!1,this._rotating=!1,this._pitching=!1,this._padding=!1,n&&this.fire(new t.Event("zoomend",e)),i&&this.fire(new t.Event("rotateend",e)),a&&this.fire(new t.Event("pitchend",e)),this.fire(new t.Event("moveend",e))}},r.prototype.flyTo=function(e,r){var n=this;if(!e.essential&&t.browser.prefersReducedMotion){var i=t.pick(e,["center","zoom","bearing","pitch","around"]);return this.jumpTo(i,r)}this.stop(),e=t.extend({offset:[0,0],speed:1.2,curve:1.42,easing:t.ease},e);var a=this.transform,o=this.getZoom(),s=this.getBearing(),l=this.getPitch(),u=this.getPadding(),c="zoom"in e?t.clamp(+e.zoom,a.minZoom,a.maxZoom):o,f="bearing"in e?this._normalizeBearing(e.bearing,s):s,h="pitch"in e?+e.pitch:l,p="padding"in e?e.padding:a.padding,d=a.zoomScale(c-o),v=t.Point.convert(e.offset),g=a.centerPoint.add(v),y=a.pointLocation(g),m=t.LngLat.convert(e.center||y);this._normalizeCenter(m);var x=a.project(y),b=a.project(m).sub(x),_=e.curve,w=Math.max(a.width,a.height),T=w/d,k=b.mag();if("minZoom"in e){var A=t.clamp(Math.min(e.minZoom,o,c),a.minZoom,a.maxZoom),M=w/a.zoomScale(A-o);_=Math.sqrt(M/k*2)}var S=_*_;function E(t){var e=(T*T-w*w+(t?-1:1)*S*S*k*k)/(2*(t?T:w)*S*k);return Math.log(Math.sqrt(e*e+1)-e)}function L(t){return(Math.exp(t)-Math.exp(-t))/2}function C(t){return(Math.exp(t)+Math.exp(-t))/2}var P=E(0),O=function(t){return C(P)/C(P+_*t)},I=function(t){return w*((C(P)*(L(e=P+_*t)/C(e))-L(P))/S)/k;var e},D=(E(1)-P)/_;if(Math.abs(k)<1e-6||!isFinite(D)){if(Math.abs(w-T)<1e-6)return this.easeTo(e,r);var z=Te.maxDuration&&(e.duration=0),this._zooming=!0,this._rotating=s!==f,this._pitching=h!==l,this._padding=!a.isPaddingEqual(p),this._prepareEase(r,!1),this._ease((function(e){var i=e*D,d=1/O(i);a.zoom=1===e?c:o+a.scaleZoom(d),n._rotating&&(a.bearing=t.number(s,f,e)),n._pitching&&(a.pitch=t.number(l,h,e)),n._padding&&(a.interpolatePadding(u,p,e),g=a.centerPoint.add(v));var y=1===e?m:a.unproject(x.add(b.mult(I(i))).mult(d));a.setLocationAtPoint(a.renderWorldCopies?y.wrap():y,g),n._fireMoveEvents(r)}),(function(){return n._afterEase(r)}),e),this},r.prototype.isEasing=function(){return!!this._easeFrameId},r.prototype.stop=function(){return this._stop()},r.prototype._stop=function(t,e){if(this._easeFrameId&&(this._cancelRenderFrame(this._easeFrameId),delete this._easeFrameId,delete this._onEaseFrame),this._onEaseEnd){var r=this._onEaseEnd;delete this._onEaseEnd,r.call(this,e)}if(!t){var n=this.handlers;n&&n.stop(!1)}return this},r.prototype._ease=function(e,r,n){!1===n.animate||0===n.duration?(e(1),r()):(this._easeStart=t.browser.now(),this._easeOptions=n,this._onEaseFrame=e,this._onEaseEnd=r,this._easeFrameId=this._requestRenderFrame(this._renderFrameCallback))},r.prototype._renderFrameCallback=function(){var e=Math.min((t.browser.now()-this._easeStart)/this._easeOptions.duration,1);this._onEaseFrame(this._easeOptions.easing(e)),e<1?this._easeFrameId=this._requestRenderFrame(this._renderFrameCallback):this.stop()},r.prototype._normalizeBearing=function(e,r){e=t.wrap(e,-180,180);var n=Math.abs(e-r);return Math.abs(e-360-r)180?-360:r<-180?360:0}},r}(t.Evented),Ei=function(e){void 0===e&&(e={}),this.options=e,t.bindAll(["_toggleAttribution","_updateEditLink","_updateData","_updateCompact"],this)};Ei.prototype.getDefaultPosition=function(){return"bottom-right"},Ei.prototype.onAdd=function(t){var e=this.options&&this.options.compact;return this._map=t,this._container=r.create("div","mapboxgl-ctrl mapboxgl-ctrl-attrib"),this._compactButton=r.create("button","mapboxgl-ctrl-attrib-button",this._container),this._compactButton.addEventListener("click",this._toggleAttribution),this._setElementTitle(this._compactButton,"ToggleAttribution"),this._innerContainer=r.create("div","mapboxgl-ctrl-attrib-inner",this._container),this._innerContainer.setAttribute("role","list"),e&&this._container.classList.add("mapboxgl-compact"),this._updateAttributions(),this._updateEditLink(),this._map.on("styledata",this._updateData),this._map.on("sourcedata",this._updateData),this._map.on("moveend",this._updateEditLink),void 0===e&&(this._map.on("resize",this._updateCompact),this._updateCompact()),this._container},Ei.prototype.onRemove=function(){r.remove(this._container),this._map.off("styledata",this._updateData),this._map.off("sourcedata",this._updateData),this._map.off("moveend",this._updateEditLink),this._map.off("resize",this._updateCompact),this._map=void 0,this._attribHTML=void 0},Ei.prototype._setElementTitle=function(t,e){var r=this._map._getUIString("AttributionControl."+e);t.title=r,t.setAttribute("aria-label",r)},Ei.prototype._toggleAttribution=function(){this._container.classList.contains("mapboxgl-compact-show")?(this._container.classList.remove("mapboxgl-compact-show"),this._compactButton.setAttribute("aria-pressed","false")):(this._container.classList.add("mapboxgl-compact-show"),this._compactButton.setAttribute("aria-pressed","true"))},Ei.prototype._updateEditLink=function(){var e=this._editLink;e||(e=this._editLink=this._container.querySelector(".mapbox-improve-map"));var r=[{key:"owner",value:this.styleOwner},{key:"id",value:this.styleId},{key:"access_token",value:this._map._requestManager._customAccessToken||t.config.ACCESS_TOKEN}];if(e){var n=r.reduce((function(t,e,n){return e.value&&(t+=e.key+"="+e.value+(n=0)return!1;return!0}))).join(" | ");o!==this._attribHTML&&(this._attribHTML=o,t.length?(this._innerContainer.innerHTML=o,this._container.classList.remove("mapboxgl-attrib-empty")):this._container.classList.add("mapboxgl-attrib-empty"),this._editLink=null)}},Ei.prototype._updateCompact=function(){this._map.getCanvasContainer().offsetWidth<=640?this._container.classList.add("mapboxgl-compact"):this._container.classList.remove("mapboxgl-compact","mapboxgl-compact-show")};var Li=function(){t.bindAll(["_updateLogo"],this),t.bindAll(["_updateCompact"],this)};Li.prototype.onAdd=function(t){this._map=t,this._container=r.create("div","mapboxgl-ctrl");var e=r.create("a","mapboxgl-ctrl-logo");return e.target="_blank",e.rel="noopener nofollow",e.href="https://www.mapbox.com/",e.setAttribute("aria-label",this._map._getUIString("LogoControl.Title")),e.setAttribute("rel","noopener nofollow"),this._container.appendChild(e),this._container.style.display="none",this._map.on("sourcedata",this._updateLogo),this._updateLogo(),this._map.on("resize",this._updateCompact),this._updateCompact(),this._container},Li.prototype.onRemove=function(){r.remove(this._container),this._map.off("sourcedata",this._updateLogo),this._map.off("resize",this._updateCompact)},Li.prototype.getDefaultPosition=function(){return"bottom-left"},Li.prototype._updateLogo=function(t){t&&"metadata"!==t.sourceDataType||(this._container.style.display=this._logoRequired()?"block":"none")},Li.prototype._logoRequired=function(){if(this._map.style){var t=this._map.style.sourceCaches;for(var e in t)if(t[e].getSource().mapbox_logo)return!0;return!1}},Li.prototype._updateCompact=function(){var t=this._container.children;if(t.length){var e=t[0];this._map.getCanvasContainer().offsetWidth<250?e.classList.add("mapboxgl-compact"):e.classList.remove("mapboxgl-compact")}};var Ci=function(){this._queue=[],this._id=0,this._cleared=!1,this._currentlyRunning=!1};Ci.prototype.add=function(t){var e=++this._id;return this._queue.push({callback:t,id:e,cancelled:!1}),e},Ci.prototype.remove=function(t){for(var e=this._currentlyRunning,r=0,n=e?this._queue.concat(e):this._queue;re.maxZoom)throw new Error("maxZoom must be greater than or equal to minZoom");if(null!=e.minPitch&&null!=e.maxPitch&&e.minPitch>e.maxPitch)throw new Error("maxPitch must be greater than or equal to minPitch");if(null!=e.minPitch&&e.minPitch<0)throw new Error("minPitch must be greater than or equal to 0");if(null!=e.maxPitch&&e.maxPitch>zi)throw new Error("maxPitch must be less than or equal to 60");var i=new Pn(e.minZoom,e.maxZoom,e.minPitch,e.maxPitch,e.renderWorldCopies);if(n.call(this,i,e),this._interactive=e.interactive,this._maxTileCacheSize=e.maxTileCacheSize,this._failIfMajorPerformanceCaveat=e.failIfMajorPerformanceCaveat,this._preserveDrawingBuffer=e.preserveDrawingBuffer,this._antialias=e.antialias,this._trackResize=e.trackResize,this._bearingSnap=e.bearingSnap,this._refreshExpiredTiles=e.refreshExpiredTiles,this._fadeDuration=e.fadeDuration,this._crossSourceCollisions=e.crossSourceCollisions,this._crossFadingFactor=1,this._collectResourceTiming=e.collectResourceTiming,this._renderTaskQueue=new Ci,this._controls=[],this._mapId=t.uniqueId(),this._locale=t.extend({},Pi,e.locale),this._clickTolerance=e.clickTolerance,this._requestManager=new t.RequestManager(e.transformRequest,e.accessToken),"string"==typeof e.container){if(this._container=t.window.document.getElementById(e.container),!this._container)throw new Error("Container '"+e.container+"' not found.")}else{if(!(e.container instanceof Ii))throw new Error("Invalid type: 'container' must be a String or HTMLElement.");this._container=e.container}if(e.maxBounds&&this.setMaxBounds(e.maxBounds),t.bindAll(["_onWindowOnline","_onWindowResize","_onMapScroll","_contextLost","_contextRestored"],this),this._setupContainer(),this._setupPainter(),void 0===this.painter)throw new Error("Failed to initialize WebGL.");this.on("move",(function(){return r._update(!1)})),this.on("moveend",(function(){return r._update(!1)})),this.on("zoom",(function(){return r._update(!0)})),void 0!==t.window&&(t.window.addEventListener("online",this._onWindowOnline,!1),t.window.addEventListener("resize",this._onWindowResize,!1),t.window.addEventListener("orientationchange",this._onWindowResize,!1)),this.handlers=new Mi(this,e);var a="string"==typeof e.hash&&e.hash||void 0;this._hash=e.hash&&new In(a).addTo(this),this._hash&&this._hash._onHashChange()||(this.jumpTo({center:e.center,zoom:e.zoom,bearing:e.bearing,pitch:e.pitch}),e.bounds&&(this.resize(),this.fitBounds(e.bounds,t.extend({},e.fitBoundsOptions,{duration:0})))),this.resize(),this._localIdeographFontFamily=e.localIdeographFontFamily,e.style&&this.setStyle(e.style,{localIdeographFontFamily:e.localIdeographFontFamily}),e.attributionControl&&this.addControl(new Ei({customAttribution:e.customAttribution})),this.addControl(new Li,e.logoPosition),this.on("style.load",(function(){r.transform.unmodified&&r.jumpTo(r.style.stylesheet)})),this.on("data",(function(e){r._update("style"===e.dataType),r.fire(new t.Event(e.dataType+"data",e))})),this.on("dataloading",(function(e){r.fire(new t.Event(e.dataType+"dataloading",e))}))}n&&(i.__proto__=n),i.prototype=Object.create(n&&n.prototype),i.prototype.constructor=i;var a={showTileBoundaries:{configurable:!0},showPadding:{configurable:!0},showCollisionBoxes:{configurable:!0},showOverdrawInspector:{configurable:!0},repaint:{configurable:!0},vertices:{configurable:!0},version:{configurable:!0}};return i.prototype._getMapId=function(){return this._mapId},i.prototype.addControl=function(e,r){if(void 0===r&&(r=e.getDefaultPosition?e.getDefaultPosition():"top-right"),!e||!e.onAdd)return this.fire(new t.ErrorEvent(new Error("Invalid argument to map.addControl(). Argument must be a control with onAdd and onRemove methods.")));var n=e.onAdd(this);this._controls.push(e);var i=this._controlPositions[r];return-1!==r.indexOf("bottom")?i.insertBefore(n,i.firstChild):i.appendChild(n),this},i.prototype.removeControl=function(e){if(!e||!e.onRemove)return this.fire(new t.ErrorEvent(new Error("Invalid argument to map.removeControl(). Argument must be a control with onAdd and onRemove methods.")));var r=this._controls.indexOf(e);return r>-1&&this._controls.splice(r,1),e.onRemove(this),this},i.prototype.hasControl=function(t){return this._controls.indexOf(t)>-1},i.prototype.resize=function(e){var r=this._containerDimensions(),n=r[0],i=r[1];this._resizeCanvas(n,i),this.transform.resize(n,i),this.painter.resize(n,i);var a=!this._moving;return a&&(this.stop(),this.fire(new t.Event("movestart",e)).fire(new t.Event("move",e))),this.fire(new t.Event("resize",e)),a&&this.fire(new t.Event("moveend",e)),this},i.prototype.getBounds=function(){return this.transform.getBounds()},i.prototype.getMaxBounds=function(){return this.transform.getMaxBounds()},i.prototype.setMaxBounds=function(e){return this.transform.setMaxBounds(t.LngLatBounds.convert(e)),this._update()},i.prototype.setMinZoom=function(t){if((t=null==t?-2:t)>=-2&&t<=this.transform.maxZoom)return this.transform.minZoom=t,this._update(),this.getZoom()=this.transform.minZoom)return this.transform.maxZoom=t,this._update(),this.getZoom()>t&&this.setZoom(t),this;throw new Error("maxZoom must be greater than the current minZoom")},i.prototype.getMaxZoom=function(){return this.transform.maxZoom},i.prototype.setMinPitch=function(t){if((t=null==t?0:t)<0)throw new Error("minPitch must be greater than or equal to 0");if(t>=0&&t<=this.transform.maxPitch)return this.transform.minPitch=t,this._update(),this.getPitch()zi)throw new Error("maxPitch must be less than or equal to 60");if(t>=this.transform.minPitch)return this.transform.maxPitch=t,this._update(),this.getPitch()>t&&this.setPitch(t),this;throw new Error("maxPitch must be greater than the current minPitch")},i.prototype.getMaxPitch=function(){return this.transform.maxPitch},i.prototype.getRenderWorldCopies=function(){return this.transform.renderWorldCopies},i.prototype.setRenderWorldCopies=function(t){return this.transform.renderWorldCopies=t,this._update()},i.prototype.project=function(e){return this.transform.locationPoint(t.LngLat.convert(e))},i.prototype.unproject=function(e){return this.transform.pointLocation(t.Point.convert(e))},i.prototype.isMoving=function(){return this._moving||this.handlers.isMoving()},i.prototype.isZooming=function(){return this._zooming||this.handlers.isZooming()},i.prototype.isRotating=function(){return this._rotating||this.handlers.isRotating()},i.prototype._createDelegatedListener=function(t,e,r){var n,i=this;if("mouseenter"===t||"mouseover"===t){var a=!1;return{layer:e,listener:r,delegates:{mousemove:function(n){var o=i.getLayer(e)?i.queryRenderedFeatures(n.point,{layers:[e]}):[];o.length?a||(a=!0,r.call(i,new Vn(t,i,n.originalEvent,{features:o}))):a=!1},mouseout:function(){a=!1}}}}if("mouseleave"===t||"mouseout"===t){var o=!1;return{layer:e,listener:r,delegates:{mousemove:function(n){(i.getLayer(e)?i.queryRenderedFeatures(n.point,{layers:[e]}):[]).length?o=!0:o&&(o=!1,r.call(i,new Vn(t,i,n.originalEvent)))},mouseout:function(e){o&&(o=!1,r.call(i,new Vn(t,i,e.originalEvent)))}}}}return{layer:e,listener:r,delegates:(n={},n[t]=function(t){var n=i.getLayer(e)?i.queryRenderedFeatures(t.point,{layers:[e]}):[];n.length&&(t.features=n,r.call(i,t),delete t.features)},n)}},i.prototype.on=function(t,e,r){if(void 0===r)return n.prototype.on.call(this,t,e);var i=this._createDelegatedListener(t,e,r);for(var a in this._delegatedListeners=this._delegatedListeners||{},this._delegatedListeners[t]=this._delegatedListeners[t]||[],this._delegatedListeners[t].push(i),i.delegates)this.on(a,i.delegates[a]);return this},i.prototype.once=function(t,e,r){if(void 0===r)return n.prototype.once.call(this,t,e);var i=this._createDelegatedListener(t,e,r);for(var a in i.delegates)this.once(a,i.delegates[a]);return this},i.prototype.off=function(t,e,r){var i=this;if(void 0===r)return n.prototype.off.call(this,t,e);return this._delegatedListeners&&this._delegatedListeners[t]&&function(n){for(var a=n[t],o=0;o180;){var s=n.locationPoint(e);if(s.x>=0&&s.y>=0&&s.x<=n.width&&s.y<=n.height)break;e.lng>n.center.lng?e.lng-=360:e.lng+=360}return e}Ui.prototype.down=function(t,e){this.mouseRotate.mousedown(t,e),this.mousePitch&&this.mousePitch.mousedown(t,e),r.disableDrag()},Ui.prototype.move=function(t,e){var r=this.map,n=this.mouseRotate.mousemoveWindow(t,e);if(n&&n.bearingDelta&&r.setBearing(r.getBearing()+n.bearingDelta),this.mousePitch){var i=this.mousePitch.mousemoveWindow(t,e);i&&i.pitchDelta&&r.setPitch(r.getPitch()+i.pitchDelta)}},Ui.prototype.off=function(){var t=this.element;r.removeEventListener(t,"mousedown",this.mousedown),r.removeEventListener(t,"touchstart",this.touchstart,{passive:!1}),r.removeEventListener(t,"touchmove",this.touchmove),r.removeEventListener(t,"touchend",this.touchend),r.removeEventListener(t,"touchcancel",this.reset),this.offTemp()},Ui.prototype.offTemp=function(){r.enableDrag(),r.removeEventListener(t.window,"mousemove",this.mousemove),r.removeEventListener(t.window,"mouseup",this.mouseup)},Ui.prototype.mousedown=function(e){this.down(t.extend({},e,{ctrlKey:!0,preventDefault:function(){return e.preventDefault()}}),r.mousePos(this.element,e)),r.addEventListener(t.window,"mousemove",this.mousemove),r.addEventListener(t.window,"mouseup",this.mouseup)},Ui.prototype.mousemove=function(t){this.move(t,r.mousePos(this.element,t))},Ui.prototype.mouseup=function(t){this.mouseRotate.mouseupWindow(t),this.mousePitch&&this.mousePitch.mouseupWindow(t),this.offTemp()},Ui.prototype.touchstart=function(t){1!==t.targetTouches.length?this.reset():(this._startPos=this._lastPos=r.touchPos(this.element,t.targetTouches)[0],this.down({type:"mousedown",button:0,ctrlKey:!0,preventDefault:function(){return t.preventDefault()}},this._startPos))},Ui.prototype.touchmove=function(t){1!==t.targetTouches.length?this.reset():(this._lastPos=r.touchPos(this.element,t.targetTouches)[0],this.move({preventDefault:function(){return t.preventDefault()}},this._lastPos))},Ui.prototype.touchend=function(t){0===t.targetTouches.length&&this._startPos&&this._lastPos&&this._startPos.dist(this._lastPos)=r}this._isDragging&&(this._pos=e.point.sub(this._positionDelta),this._lngLat=this._map.unproject(this._pos),this.setLngLat(this._lngLat),this._element.style.pointerEvents="none","pending"===this._state&&(this._state="active",this.fire(new t.Event("dragstart"))),this.fire(new t.Event("drag")))},n.prototype._onUp=function(){this._element.style.pointerEvents="auto",this._positionDelta=null,this._pointerdownPos=null,this._isDragging=!1,this._map.off("mousemove",this._onMove),this._map.off("touchmove",this._onMove),"active"===this._state&&this.fire(new t.Event("dragend")),this._state="inactive"},n.prototype._addDragHandler=function(t){this._element.contains(t.originalEvent.target)&&(t.preventDefault(),this._positionDelta=t.point.sub(this._pos).add(this._offset),this._pointerdownPos=t.point,this._state="pending",this._map.on("mousemove",this._onMove),this._map.on("touchmove",this._onMove),this._map.once("mouseup",this._onUp),this._map.once("touchend",this._onUp))},n.prototype.setDraggable=function(t){return this._draggable=!!t,this._map&&(t?(this._map.on("mousedown",this._addDragHandler),this._map.on("touchstart",this._addDragHandler)):(this._map.off("mousedown",this._addDragHandler),this._map.off("touchstart",this._addDragHandler))),this},n.prototype.isDraggable=function(){return this._draggable},n.prototype.setRotation=function(t){return this._rotation=t||0,this._update(),this},n.prototype.getRotation=function(){return this._rotation},n.prototype.setRotationAlignment=function(t){return this._rotationAlignment=t||"auto",this._update(),this},n.prototype.getRotationAlignment=function(){return this._rotationAlignment},n.prototype.setPitchAlignment=function(t){return this._pitchAlignment=t&&"auto"!==t?t:this._rotationAlignment,this._update(),this},n.prototype.getPitchAlignment=function(){return this._pitchAlignment},n}(t.Evented),Yi={positionOptions:{enableHighAccuracy:!1,maximumAge:0,timeout:6e3},fitBoundsOptions:{maxZoom:15},trackUserLocation:!1,showAccuracyCircle:!0,showUserLocation:!0};var Xi=0,Zi=!1,Ki=function(e){function n(r){e.call(this),this.options=t.extend({},Yi,r),t.bindAll(["_onSuccess","_onError","_onZoom","_finish","_setupUI","_updateCamera","_updateMarker"],this)}return e&&(n.__proto__=e),n.prototype=Object.create(e&&e.prototype),n.prototype.constructor=n,n.prototype.onAdd=function(e){return this._map=e,this._container=r.create("div","mapboxgl-ctrl mapboxgl-ctrl-group"),n=this._setupUI,void 0!==Gi?n(Gi):void 0!==t.window.navigator.permissions?t.window.navigator.permissions.query({name:"geolocation"}).then((function(t){Gi="denied"!==t.state,n(Gi)})):(Gi=!!t.window.navigator.geolocation,n(Gi)),this._container;var n},n.prototype.onRemove=function(){void 0!==this._geolocationWatchID&&(t.window.navigator.geolocation.clearWatch(this._geolocationWatchID),this._geolocationWatchID=void 0),this.options.showUserLocation&&this._userLocationDotMarker&&this._userLocationDotMarker.remove(),this.options.showAccuracyCircle&&this._accuracyCircleMarker&&this._accuracyCircleMarker.remove(),r.remove(this._container),this._map.off("zoom",this._onZoom),this._map=void 0,Xi=0,Zi=!1},n.prototype._isOutOfMapMaxBounds=function(t){var e=this._map.getMaxBounds(),r=t.coords;return e&&(r.longitudee.getEast()||r.latitudee.getNorth())},n.prototype._setErrorState=function(){switch(this._watchState){case"WAITING_ACTIVE":this._watchState="ACTIVE_ERROR",this._geolocateButton.classList.remove("mapboxgl-ctrl-geolocate-active"),this._geolocateButton.classList.add("mapboxgl-ctrl-geolocate-active-error");break;case"ACTIVE_LOCK":this._watchState="ACTIVE_ERROR",this._geolocateButton.classList.remove("mapboxgl-ctrl-geolocate-active"),this._geolocateButton.classList.add("mapboxgl-ctrl-geolocate-active-error"),this._geolocateButton.classList.add("mapboxgl-ctrl-geolocate-waiting");break;case"BACKGROUND":this._watchState="BACKGROUND_ERROR",this._geolocateButton.classList.remove("mapboxgl-ctrl-geolocate-background"),this._geolocateButton.classList.add("mapboxgl-ctrl-geolocate-background-error"),this._geolocateButton.classList.add("mapboxgl-ctrl-geolocate-waiting")}},n.prototype._onSuccess=function(e){if(this._map){if(this._isOutOfMapMaxBounds(e))return this._setErrorState(),this.fire(new t.Event("outofmaxbounds",e)),this._updateMarker(),void this._finish();if(this.options.trackUserLocation)switch(this._lastKnownPosition=e,this._watchState){case"WAITING_ACTIVE":case"ACTIVE_LOCK":case"ACTIVE_ERROR":this._watchState="ACTIVE_LOCK",this._geolocateButton.classList.remove("mapboxgl-ctrl-geolocate-waiting"),this._geolocateButton.classList.remove("mapboxgl-ctrl-geolocate-active-error"),this._geolocateButton.classList.add("mapboxgl-ctrl-geolocate-active");break;case"BACKGROUND":case"BACKGROUND_ERROR":this._watchState="BACKGROUND",this._geolocateButton.classList.remove("mapboxgl-ctrl-geolocate-waiting"),this._geolocateButton.classList.remove("mapboxgl-ctrl-geolocate-background-error"),this._geolocateButton.classList.add("mapboxgl-ctrl-geolocate-background")}this.options.showUserLocation&&"OFF"!==this._watchState&&this._updateMarker(e),this.options.trackUserLocation&&"ACTIVE_LOCK"!==this._watchState||this._updateCamera(e),this.options.showUserLocation&&this._dotElement.classList.remove("mapboxgl-user-location-dot-stale"),this.fire(new t.Event("geolocate",e)),this._finish()}},n.prototype._updateCamera=function(e){var r=new t.LngLat(e.coords.longitude,e.coords.latitude),n=e.coords.accuracy,i=this._map.getBearing(),a=t.extend({bearing:i},this.options.fitBoundsOptions);this._map.fitBounds(r.toBounds(n),a,{geolocateSource:!0})},n.prototype._updateMarker=function(e){if(e){var r=new t.LngLat(e.coords.longitude,e.coords.latitude);this._accuracyCircleMarker.setLngLat(r).addTo(this._map),this._userLocationDotMarker.setLngLat(r).addTo(this._map),this._accuracy=e.coords.accuracy,this.options.showUserLocation&&this.options.showAccuracyCircle&&this._updateCircleRadius()}else this._userLocationDotMarker.remove(),this._accuracyCircleMarker.remove()},n.prototype._updateCircleRadius=function(){var t=this._map._container.clientHeight/2,e=this._map.unproject([0,t]),r=this._map.unproject([1,t]),n=e.distanceTo(r),i=Math.ceil(2*this._accuracy/n);this._circleElement.style.width=i+"px",this._circleElement.style.height=i+"px"},n.prototype._onZoom=function(){this.options.showUserLocation&&this.options.showAccuracyCircle&&this._updateCircleRadius()},n.prototype._onError=function(e){if(this._map){if(this.options.trackUserLocation)if(1===e.code){this._watchState="OFF",this._geolocateButton.classList.remove("mapboxgl-ctrl-geolocate-waiting"),this._geolocateButton.classList.remove("mapboxgl-ctrl-geolocate-active"),this._geolocateButton.classList.remove("mapboxgl-ctrl-geolocate-active-error"),this._geolocateButton.classList.remove("mapboxgl-ctrl-geolocate-background"),this._geolocateButton.classList.remove("mapboxgl-ctrl-geolocate-background-error"),this._geolocateButton.disabled=!0;var r=this._map._getUIString("GeolocateControl.LocationNotAvailable");this._geolocateButton.title=r,this._geolocateButton.setAttribute("aria-label",r),void 0!==this._geolocationWatchID&&this._clearWatch()}else{if(3===e.code&&Zi)return;this._setErrorState()}"OFF"!==this._watchState&&this.options.showUserLocation&&this._dotElement.classList.add("mapboxgl-user-location-dot-stale"),this.fire(new t.Event("error",e)),this._finish()}},n.prototype._finish=function(){this._timeoutId&&clearTimeout(this._timeoutId),this._timeoutId=void 0},n.prototype._setupUI=function(e){var n=this;if(this._container.addEventListener("contextmenu",(function(t){return t.preventDefault()})),this._geolocateButton=r.create("button","mapboxgl-ctrl-geolocate",this._container),r.create("span","mapboxgl-ctrl-icon",this._geolocateButton).setAttribute("aria-hidden",!0),this._geolocateButton.type="button",!1===e){t.warnOnce("Geolocation support is not available so the GeolocateControl will be disabled.");var i=this._map._getUIString("GeolocateControl.LocationNotAvailable");this._geolocateButton.disabled=!0,this._geolocateButton.title=i,this._geolocateButton.setAttribute("aria-label",i)}else{var a=this._map._getUIString("GeolocateControl.FindMyLocation");this._geolocateButton.title=a,this._geolocateButton.setAttribute("aria-label",a)}this.options.trackUserLocation&&(this._geolocateButton.setAttribute("aria-pressed","false"),this._watchState="OFF"),this.options.showUserLocation&&(this._dotElement=r.create("div","mapboxgl-user-location-dot"),this._userLocationDotMarker=new Wi(this._dotElement),this._circleElement=r.create("div","mapboxgl-user-location-accuracy-circle"),this._accuracyCircleMarker=new Wi({element:this._circleElement,pitchAlignment:"map"}),this.options.trackUserLocation&&(this._watchState="OFF"),this._map.on("zoom",this._onZoom)),this._geolocateButton.addEventListener("click",this.trigger.bind(this)),this._setup=!0,this.options.trackUserLocation&&this._map.on("movestart",(function(e){var r=e.originalEvent&&"resize"===e.originalEvent.type;e.geolocateSource||"ACTIVE_LOCK"!==n._watchState||r||(n._watchState="BACKGROUND",n._geolocateButton.classList.add("mapboxgl-ctrl-geolocate-background"),n._geolocateButton.classList.remove("mapboxgl-ctrl-geolocate-active"),n.fire(new t.Event("trackuserlocationend")))}))},n.prototype.trigger=function(){if(!this._setup)return t.warnOnce("Geolocate control triggered before added to a map"),!1;if(this.options.trackUserLocation){switch(this._watchState){case"OFF":this._watchState="WAITING_ACTIVE",this.fire(new t.Event("trackuserlocationstart"));break;case"WAITING_ACTIVE":case"ACTIVE_LOCK":case"ACTIVE_ERROR":case"BACKGROUND_ERROR":Xi--,Zi=!1,this._watchState="OFF",this._geolocateButton.classList.remove("mapboxgl-ctrl-geolocate-waiting"),this._geolocateButton.classList.remove("mapboxgl-ctrl-geolocate-active"),this._geolocateButton.classList.remove("mapboxgl-ctrl-geolocate-active-error"),this._geolocateButton.classList.remove("mapboxgl-ctrl-geolocate-background"),this._geolocateButton.classList.remove("mapboxgl-ctrl-geolocate-background-error"),this.fire(new t.Event("trackuserlocationend"));break;case"BACKGROUND":this._watchState="ACTIVE_LOCK",this._geolocateButton.classList.remove("mapboxgl-ctrl-geolocate-background"),this._lastKnownPosition&&this._updateCamera(this._lastKnownPosition),this.fire(new t.Event("trackuserlocationstart"))}switch(this._watchState){case"WAITING_ACTIVE":this._geolocateButton.classList.add("mapboxgl-ctrl-geolocate-waiting"),this._geolocateButton.classList.add("mapboxgl-ctrl-geolocate-active");break;case"ACTIVE_LOCK":this._geolocateButton.classList.add("mapboxgl-ctrl-geolocate-active");break;case"ACTIVE_ERROR":this._geolocateButton.classList.add("mapboxgl-ctrl-geolocate-waiting"),this._geolocateButton.classList.add("mapboxgl-ctrl-geolocate-active-error");break;case"BACKGROUND":this._geolocateButton.classList.add("mapboxgl-ctrl-geolocate-background");break;case"BACKGROUND_ERROR":this._geolocateButton.classList.add("mapboxgl-ctrl-geolocate-waiting"),this._geolocateButton.classList.add("mapboxgl-ctrl-geolocate-background-error")}if("OFF"===this._watchState&&void 0!==this._geolocationWatchID)this._clearWatch();else if(void 0===this._geolocationWatchID){var e;this._geolocateButton.classList.add("mapboxgl-ctrl-geolocate-waiting"),this._geolocateButton.setAttribute("aria-pressed","true"),++Xi>1?(e={maximumAge:6e5,timeout:0},Zi=!0):(e=this.options.positionOptions,Zi=!1),this._geolocationWatchID=t.window.navigator.geolocation.watchPosition(this._onSuccess,this._onError,e)}}else t.window.navigator.geolocation.getCurrentPosition(this._onSuccess,this._onError,this.options.positionOptions),this._timeoutId=setTimeout(this._finish,1e4);return!0},n.prototype._clearWatch=function(){t.window.navigator.geolocation.clearWatch(this._geolocationWatchID),this._geolocationWatchID=void 0,this._geolocateButton.classList.remove("mapboxgl-ctrl-geolocate-waiting"),this._geolocateButton.setAttribute("aria-pressed","false"),this.options.showUserLocation&&this._updateMarker(null)},n}(t.Evented),Ji={maxWidth:100,unit:"metric"},$i=function(e){this.options=t.extend({},Ji,e),t.bindAll(["_onMove","setUnit"],this)};function Qi(t,e,r){var n=r&&r.maxWidth||100,i=t._container.clientHeight/2,a=t.unproject([0,i]),o=t.unproject([n,i]),s=a.distanceTo(o);if(r&&"imperial"===r.unit){var l=3.2808*s;l>5280?ta(e,n,l/5280,t._getUIString("ScaleControl.Miles")):ta(e,n,l,t._getUIString("ScaleControl.Feet"))}else r&&"nautical"===r.unit?ta(e,n,s/1852,t._getUIString("ScaleControl.NauticalMiles")):s>=1e3?ta(e,n,s/1e3,t._getUIString("ScaleControl.Kilometers")):ta(e,n,s,t._getUIString("ScaleControl.Meters"))}function ta(t,e,r,n){var i,a,o,s=(i=r,(a=Math.pow(10,(""+Math.floor(i)).length-1))*((o=i/a)>=10?10:o>=5?5:o>=3?3:o>=2?2:o>=1?1:function(t){var e=Math.pow(10,Math.ceil(-Math.log(t)/Math.LN10));return Math.round(t*e)/e}(o))),l=s/r;t.style.width=e*l+"px",t.innerHTML=s+" "+n}$i.prototype.getDefaultPosition=function(){return"bottom-left"},$i.prototype._onMove=function(){Qi(this._map,this._container,this.options)},$i.prototype.onAdd=function(t){return this._map=t,this._container=r.create("div","mapboxgl-ctrl mapboxgl-ctrl-scale",t.getContainer()),this._map.on("move",this._onMove),this._onMove(),this._container},$i.prototype.onRemove=function(){r.remove(this._container),this._map.off("move",this._onMove),this._map=void 0},$i.prototype.setUnit=function(t){this.options.unit=t,Qi(this._map,this._container,this.options)};var ea=function(e){this._fullscreen=!1,e&&e.container&&(e.container instanceof t.window.HTMLElement?this._container=e.container:t.warnOnce("Full screen control 'container' must be a DOM element.")),t.bindAll(["_onClickFullscreen","_changeIcon"],this),"onfullscreenchange"in t.window.document?this._fullscreenchange="fullscreenchange":"onmozfullscreenchange"in t.window.document?this._fullscreenchange="mozfullscreenchange":"onwebkitfullscreenchange"in t.window.document?this._fullscreenchange="webkitfullscreenchange":"onmsfullscreenchange"in t.window.document&&(this._fullscreenchange="MSFullscreenChange")};ea.prototype.onAdd=function(e){return this._map=e,this._container||(this._container=this._map.getContainer()),this._controlContainer=r.create("div","mapboxgl-ctrl mapboxgl-ctrl-group"),this._checkFullscreenSupport()?this._setupUI():(this._controlContainer.style.display="none",t.warnOnce("This device does not support fullscreen mode.")),this._controlContainer},ea.prototype.onRemove=function(){r.remove(this._controlContainer),this._map=null,t.window.document.removeEventListener(this._fullscreenchange,this._changeIcon)},ea.prototype._checkFullscreenSupport=function(){return!!(t.window.document.fullscreenEnabled||t.window.document.mozFullScreenEnabled||t.window.document.msFullscreenEnabled||t.window.document.webkitFullscreenEnabled)},ea.prototype._setupUI=function(){var e=this._fullscreenButton=r.create("button","mapboxgl-ctrl-fullscreen",this._controlContainer);r.create("span","mapboxgl-ctrl-icon",e).setAttribute("aria-hidden",!0),e.type="button",this._updateTitle(),this._fullscreenButton.addEventListener("click",this._onClickFullscreen),t.window.document.addEventListener(this._fullscreenchange,this._changeIcon)},ea.prototype._updateTitle=function(){var t=this._getTitle();this._fullscreenButton.setAttribute("aria-label",t),this._fullscreenButton.title=t},ea.prototype._getTitle=function(){return this._map._getUIString(this._isFullscreen()?"FullscreenControl.Exit":"FullscreenControl.Enter")},ea.prototype._isFullscreen=function(){return this._fullscreen},ea.prototype._changeIcon=function(){(t.window.document.fullscreenElement||t.window.document.mozFullScreenElement||t.window.document.webkitFullscreenElement||t.window.document.msFullscreenElement)===this._container!==this._fullscreen&&(this._fullscreen=!this._fullscreen,this._fullscreenButton.classList.toggle("mapboxgl-ctrl-shrink"),this._fullscreenButton.classList.toggle("mapboxgl-ctrl-fullscreen"),this._updateTitle())},ea.prototype._onClickFullscreen=function(){this._isFullscreen()?t.window.document.exitFullscreen?t.window.document.exitFullscreen():t.window.document.mozCancelFullScreen?t.window.document.mozCancelFullScreen():t.window.document.msExitFullscreen?t.window.document.msExitFullscreen():t.window.document.webkitCancelFullScreen&&t.window.document.webkitCancelFullScreen():this._container.requestFullscreen?this._container.requestFullscreen():this._container.mozRequestFullScreen?this._container.mozRequestFullScreen():this._container.msRequestFullscreen?this._container.msRequestFullscreen():this._container.webkitRequestFullscreen&&this._container.webkitRequestFullscreen()};var ra={closeButton:!0,closeOnClick:!0,focusAfterOpen:!0,className:"",maxWidth:"240px"},na=["a[href]","[tabindex]:not([tabindex='-1'])","[contenteditable]:not([contenteditable='false'])","button:not([disabled])","input:not([disabled])","select:not([disabled])","textarea:not([disabled])"].join(", "),ia=function(e){function n(r){e.call(this),this.options=t.extend(Object.create(ra),r),t.bindAll(["_update","_onClose","remove","_onMouseMove","_onMouseUp","_onDrag"],this)}return e&&(n.__proto__=e),n.prototype=Object.create(e&&e.prototype),n.prototype.constructor=n,n.prototype.addTo=function(e){return this._map&&this.remove(),this._map=e,this.options.closeOnClick&&this._map.on("click",this._onClose),this.options.closeOnMove&&this._map.on("move",this._onClose),this._map.on("remove",this.remove),this._update(),this._focusFirstElement(),this._trackPointer?(this._map.on("mousemove",this._onMouseMove),this._map.on("mouseup",this._onMouseUp),this._container&&this._container.classList.add("mapboxgl-popup-track-pointer"),this._map._canvasContainer.classList.add("mapboxgl-track-pointer")):this._map.on("move",this._update),this.fire(new t.Event("open")),this},n.prototype.isOpen=function(){return!!this._map},n.prototype.remove=function(){return this._content&&r.remove(this._content),this._container&&(r.remove(this._container),delete this._container),this._map&&(this._map.off("move",this._update),this._map.off("move",this._onClose),this._map.off("click",this._onClose),this._map.off("remove",this.remove),this._map.off("mousemove",this._onMouseMove),this._map.off("mouseup",this._onMouseUp),this._map.off("drag",this._onDrag),delete this._map),this.fire(new t.Event("close")),this},n.prototype.getLngLat=function(){return this._lngLat},n.prototype.setLngLat=function(e){return this._lngLat=t.LngLat.convert(e),this._pos=null,this._trackPointer=!1,this._update(),this._map&&(this._map.on("move",this._update),this._map.off("mousemove",this._onMouseMove),this._container&&this._container.classList.remove("mapboxgl-popup-track-pointer"),this._map._canvasContainer.classList.remove("mapboxgl-track-pointer")),this},n.prototype.trackPointer=function(){return this._trackPointer=!0,this._pos=null,this._update(),this._map&&(this._map.off("move",this._update),this._map.on("mousemove",this._onMouseMove),this._map.on("drag",this._onDrag),this._container&&this._container.classList.add("mapboxgl-popup-track-pointer"),this._map._canvasContainer.classList.add("mapboxgl-track-pointer")),this},n.prototype.getElement=function(){return this._container},n.prototype.setText=function(e){return this.setDOMContent(t.window.document.createTextNode(e))},n.prototype.setHTML=function(e){var r,n=t.window.document.createDocumentFragment(),i=t.window.document.createElement("body");for(i.innerHTML=e;r=i.firstChild;)n.appendChild(r);return this.setDOMContent(n)},n.prototype.getMaxWidth=function(){return this._container&&this._container.style.maxWidth},n.prototype.setMaxWidth=function(t){return this.options.maxWidth=t,this._update(),this},n.prototype.setDOMContent=function(t){if(this._content)for(;this._content.hasChildNodes();)this._content.firstChild&&this._content.removeChild(this._content.firstChild);else this._content=r.create("div","mapboxgl-popup-content",this._container);return this._content.appendChild(t),this._createCloseButton(),this._update(),this._focusFirstElement(),this},n.prototype.addClassName=function(t){this._container&&this._container.classList.add(t)},n.prototype.removeClassName=function(t){this._container&&this._container.classList.remove(t)},n.prototype.setOffset=function(t){return this.options.offset=t,this._update(),this},n.prototype.toggleClassName=function(t){if(this._container)return this._container.classList.toggle(t)},n.prototype._createCloseButton=function(){this.options.closeButton&&(this._closeButton=r.create("button","mapboxgl-popup-close-button",this._content),this._closeButton.type="button",this._closeButton.setAttribute("aria-label","Close popup"),this._closeButton.innerHTML="×",this._closeButton.addEventListener("click",this._onClose))},n.prototype._onMouseUp=function(t){this._update(t.point)},n.prototype._onMouseMove=function(t){this._update(t.point)},n.prototype._onDrag=function(t){this._update(t.point)},n.prototype._update=function(t){var e=this,n=this._lngLat||this._trackPointer;if(this._map&&n&&this._content&&(this._container||(this._container=r.create("div","mapboxgl-popup",this._map.getContainer()),this._tip=r.create("div","mapboxgl-popup-tip",this._container),this._container.appendChild(this._content),this.options.className&&this.options.className.split(" ").forEach((function(t){return e._container.classList.add(t)})),this._trackPointer&&this._container.classList.add("mapboxgl-popup-track-pointer")),this.options.maxWidth&&this._container.style.maxWidth!==this.options.maxWidth&&(this._container.style.maxWidth=this.options.maxWidth),this._map.transform.renderWorldCopies&&!this._trackPointer&&(this._lngLat=Vi(this._lngLat,this._pos,this._map.transform)),!this._trackPointer||t)){var i=this._pos=this._trackPointer&&t?t:this._map.project(this._lngLat),a=this.options.anchor,o=aa(this.options.offset);if(!a){var s,l=this._container.offsetWidth,u=this._container.offsetHeight;s=i.y+o.bottom.ythis._map.transform.height-u?["bottom"]:[],i.xthis._map.transform.width-l/2&&s.push("right"),a=0===s.length?"bottom":s.join("-")}var c=i.add(o[a]).round();r.setTransform(this._container,qi[a]+" translate("+c.x+"px,"+c.y+"px)"),Hi(this._container,a,"popup")}},n.prototype._focusFirstElement=function(){if(this.options.focusAfterOpen&&this._container){var t=this._container.querySelector(na);t&&t.focus()}},n.prototype._onClose=function(){this.remove()},n}(t.Evented);function aa(e){if(e){if("number"==typeof e){var r=Math.round(Math.sqrt(.5*Math.pow(e,2)));return{center:new t.Point(0,0),top:new t.Point(0,e),"top-left":new t.Point(r,r),"top-right":new t.Point(-r,r),bottom:new t.Point(0,-e),"bottom-left":new t.Point(r,-r),"bottom-right":new t.Point(-r,-r),left:new t.Point(e,0),right:new t.Point(-e,0)}}if(e instanceof t.Point||Array.isArray(e)){var n=t.Point.convert(e);return{center:n,top:n,"top-left":n,"top-right":n,bottom:n,"bottom-left":n,"bottom-right":n,left:n,right:n}}return{center:t.Point.convert(e.center||[0,0]),top:t.Point.convert(e.top||[0,0]),"top-left":t.Point.convert(e["top-left"]||[0,0]),"top-right":t.Point.convert(e["top-right"]||[0,0]),bottom:t.Point.convert(e.bottom||[0,0]),"bottom-left":t.Point.convert(e["bottom-left"]||[0,0]),"bottom-right":t.Point.convert(e["bottom-right"]||[0,0]),left:t.Point.convert(e.left||[0,0]),right:t.Point.convert(e.right||[0,0])}}return aa(new t.Point(0,0))}var oa={version:t.version,supported:e,setRTLTextPlugin:t.setRTLTextPlugin,getRTLTextPluginStatus:t.getRTLTextPluginStatus,Map:Fi,NavigationControl:ji,GeolocateControl:Ki,AttributionControl:Ei,ScaleControl:$i,FullscreenControl:ea,Popup:ia,Marker:Wi,Style:Ye,LngLat:t.LngLat,LngLatBounds:t.LngLatBounds,Point:t.Point,MercatorCoordinate:t.MercatorCoordinate,Evented:t.Evented,config:t.config,prewarm:function(){jt().acquire(Rt)},clearPrewarmedResources:function(){var t=Bt;t&&(t.isPreloaded()&&1===t.numActive()?(t.release(Rt),Bt=null):console.warn("Could not clear WebWorkers since there are active Map instances that still reference it. The pre-warmed WebWorker pool can only be cleared when all map instances have been removed with map.remove()"))},get accessToken(){return t.config.ACCESS_TOKEN},set accessToken(e){t.config.ACCESS_TOKEN=e},get baseApiUrl(){return t.config.API_URL},set baseApiUrl(e){t.config.API_URL=e},get workerCount(){return Ft.workerCount},set workerCount(t){Ft.workerCount=t},get maxParallelImageRequests(){return t.config.MAX_PARALLEL_IMAGE_REQUESTS},set maxParallelImageRequests(e){t.config.MAX_PARALLEL_IMAGE_REQUESTS=e},clearStorage:function(e){t.clearTileCache(e)},workerUrl:""};return oa})),r}()},3108:function(t,e,r){"use strict";t.exports=r(26099)},26099:function(t,e,r){"use strict";var n=r(64928),i=r(32420),a=r(51160),o=r(76752),s=r(55616),l=r(31264),u=r(47520),c=r(18400),f=r(72512),h=r(76244);function p(t,e){for(var r=e[0],n=e[1],a=1/(e[2]-r),o=1/(e[3]-n),s=new Array(t.length),l=0,u=t.length/2;l>>1;e.dtype||(e.dtype="array"),"string"==typeof e.dtype?d=new(f(e.dtype))(g):e.dtype&&(d=e.dtype,Array.isArray(d)&&(d.length=g));for(var y=0;yr||s>1073741824){for(var h=0;hr+i||M>n+i||S=C||o===s)){var l=m[a];void 0===s&&(s=l.length);for(var u=o;u=g&&f<=w&&h>=y&&h<=T&&P.push(c)}var p=x[a],d=p[4*o+0],v=p[4*o+1],b=p[4*o+2],_=p[4*o+3],k=function(t,e){for(var r=null,n=0;null===r;)if(r=t[4*e+n],++n>t.length)return null;return r}(p,o+1),E=.5*i,O=a+1;e(r,n,E,O,d,v||b||_||k),e(r,n+E,E,O,v,b||_||k),e(r+E,n,E,O,b,_||k),e(r+E,n+E,E,O,_,k)}}(0,0,1,0,0,1),P},d;function E(t,e,r){for(var n=1,i=.5,a=.5,o=.5,s=0;s0){e+=Math.abs(o(t[0]));for(var r=1;r2){for(l=0;l=0))throw new Error("precision must be a positive number");var r=Math.pow(10,e||0);return Math.round(t*r)/r},e.radiansToLength=c,e.lengthToRadians=f,e.lengthToDegrees=function(t,e){return h(f(t,e))},e.bearingToAzimuth=function(t){var e=t%360;return e<0&&(e+=360),e},e.radiansToDegrees=h,e.degreesToRadians=function(t){return t%360*Math.PI/180},e.convertLength=function(t,e,r){if(void 0===e&&(e="kilometers"),void 0===r&&(r="kilometers"),!(t>=0))throw new Error("length must be a positive number");return c(f(t,e),r)},e.convertArea=function(t,r,n){if(void 0===r&&(r="meters"),void 0===n&&(n="kilometers"),!(t>=0))throw new Error("area must be a positive number");var i=e.areaFactors[r];if(!i)throw new Error("invalid original units");var a=e.areaFactors[n];if(!a)throw new Error("invalid final units");return t/i*a},e.isNumber=p,e.isObject=function(t){return!!t&&t.constructor===Object},e.validateBBox=function(t){if(!t)throw new Error("bbox is required");if(!Array.isArray(t))throw new Error("bbox must be an Array");if(4!==t.length&&6!==t.length)throw new Error("bbox must be an Array of 4 or 6 numbers");t.forEach((function(t){if(!p(t))throw new Error("bbox must only contain numbers")}))},e.validateId=function(t){if(!t)throw new Error("id is required");if(-1===["string","number"].indexOf(typeof t))throw new Error("id must be a number or a string")}},3256:function(t,e,r){"use 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n=r(50896);function i(){this.regionalOptions=[],this.regionalOptions[""]={invalidCalendar:"Calendar {0} not found",invalidDate:"Invalid {0} date",invalidMonth:"Invalid {0} month",invalidYear:"Invalid {0} year",differentCalendars:"Cannot mix {0} and {1} dates"},this.local=this.regionalOptions[""],this.calendars={},this._localCals={}}function a(t,e,r,n){if(this._calendar=t,this._year=e,this._month=r,this._day=n,0===this._calendar._validateLevel&&!this._calendar.isValid(this._year,this._month,this._day))throw(u.local.invalidDate||u.regionalOptions[""].invalidDate).replace(/\{0\}/,this._calendar.local.name)}function o(t,e){return"000000".substring(0,e-(t=""+t).length)+t}function s(){this.shortYearCutoff="+10"}function l(t){this.local=this.regionalOptions[t]||this.regionalOptions[""]}n(i.prototype,{instance:function(t,e){t=(t||"gregorian").toLowerCase(),e=e||"";var r=this._localCals[t+"-"+e];if(!r&&this.calendars[t]&&(r=new 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0===arguments.length?this._day:this.set(t,"d")},date:function(t,e,r){if(!this._calendar.isValid(t,e,r))throw(u.local.invalidDate||u.regionalOptions[""].invalidDate).replace(/\{0\}/,this._calendar.local.name);return this._year=t,this._month=e,this._day=r,this},leapYear:function(){return this._calendar.leapYear(this)},epoch:function(){return this._calendar.epoch(this)},formatYear:function(){return this._calendar.formatYear(this)},monthOfYear:function(){return this._calendar.monthOfYear(this)},weekOfYear:function(){return this._calendar.weekOfYear(this)},daysInYear:function(){return this._calendar.daysInYear(this)},dayOfYear:function(){return this._calendar.dayOfYear(this)},daysInMonth:function(){return this._calendar.daysInMonth(this)},dayOfWeek:function(){return this._calendar.dayOfWeek(this)},weekDay:function(){return this._calendar.weekDay(this)},extraInfo:function(){return this._calendar.extraInfo(this)},add:function(t,e){return this._calendar.add(this,t,e)},set:function(t,e){return this._calendar.set(this,t,e)},compareTo:function(t){if(this._calendar.name!==t._calendar.name)throw(u.local.differentCalendars||u.regionalOptions[""].differentCalendars).replace(/\{0\}/,this._calendar.local.name).replace(/\{1\}/,t._calendar.local.name);var e=this._year!==t._year?this._year-t._year:this._month!==t._month?this.monthOfYear()-t.monthOfYear():this._day-t._day;return 0===e?0:e<0?-1:1},calendar:function(){return this._calendar},toJD:function(){return this._calendar.toJD(this)},fromJD:function(t){return this._calendar.fromJD(t)},toJSDate:function(){return this._calendar.toJSDate(this)},fromJSDate:function(t){return this._calendar.fromJSDate(t)},toString:function(){return(this.year()<0?"-":"")+o(Math.abs(this.year()),4)+"-"+o(this.month(),2)+"-"+o(this.day(),2)}}),n(s.prototype,{_validateLevel:0,newDate:function(t,e,r){return null==t?this.today():(t.year&&(this._validate(t,e,r,u.local.invalidDate||u.regionalOptions[""].invalidDate),r=t.day(),e=t.month(),t=t.year()),new a(this,t,e,r))},today:function(){return this.fromJSDate(new Date)},epoch:function(t){return this._validate(t,this.minMonth,this.minDay,u.local.invalidYear||u.regionalOptions[""].invalidYear).year()<0?this.local.epochs[0]:this.local.epochs[1]},formatYear:function(t){var e=this._validate(t,this.minMonth,this.minDay,u.local.invalidYear||u.regionalOptions[""].invalidYear);return(e.year()<0?"-":"")+o(Math.abs(e.year()),4)},monthsInYear:function(t){return this._validate(t,this.minMonth,this.minDay,u.local.invalidYear||u.regionalOptions[""].invalidYear),12},monthOfYear:function(t,e){var r=this._validate(t,e,this.minDay,u.local.invalidMonth||u.regionalOptions[""].invalidMonth);return(r.month()+this.monthsInYear(r)-this.firstMonth)%this.monthsInYear(r)+this.minMonth},fromMonthOfYear:function(t,e){var r=(e+this.firstMonth-2*this.minMonth)%this.monthsInYear(t)+this.minMonth;return 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0!==_&&Math.min(c,_)-Math.max(u,b)>1&&("left"===i.side?(s=i._mainLinePosition,l=r.width):l=i._mainLinePosition):void 0!==m&&void 0!==x&&Math.min(c,x)-Math.max(u,m)>1&&("top"===i.side?(s=i._mainLinePosition,l=r.height):l=i._mainLinePosition)}g[y++]=[{datum:t,traceIndex:t.trace.index,dp:0,pos:t.pos,posref:t.posref,size:t.by*(a?T:1)/2,pmin:s,pmax:l}]})),g.sort((function(t,e){return t[0].posref-e[0].posref||d*(e[0].traceIndex-t[0].traceIndex)}));!i&&p<=v;){for(p++,i=!0,s=0;s.01&&L.pmin===C.pmin&&L.pmax===C.pmax){for(l=E.length-1;l>=0;l--)E[l].dp+=a;for(S.push.apply(S,E),g.splice(s+1,1),c=0,l=S.length-1;l>=0;l--)c+=S[l].dp;for(o=c/S.length,l=S.length-1;l>=0;l--)S[l].dp-=o;i=!1}else s++}g.forEach(A)}for(s=g.length-1;s>=0;s--){var P=g[s];for(l=P.length-1;l>=0;l--){var O=P[l],I=O.datum;I.offset=O.dp,I.del=O.del}}}(Zt,Wt,c,Xt.commonLabelBoundingBox),z(Zt,Wt,c._invScaleX,c._invScaleY)),s&&s.tagName){var Kt=g.getComponentMethod("annotations","hasClickToShow")(t,Ot);f(n.select(s),Kt?"pointer":"")}s&&!a&&function(t,e,r){if(!r||r.length!==t._hoverdata.length)return!0;for(var n=r.length-1;n>=0;n--){var i=r[n],a=t._hoverdata[n];if(i.curveNumber!==a.curveNumber||String(i.pointNumber)!==String(a.pointNumber)||String(i.pointNumbers)!==String(a.pointNumbers))return!0}return!1}(t,0,Pt)&&(Pt&&t.emit("plotly_unhover",{event:e,points:Pt}),t.emit("plotly_hover",{event:e,points:t._hoverdata,xaxes:_,yaxes:w,xvals:H,yvals:G}))}(t,e,r,a,s)}))},e.loneHover=function(t,e){var r=!0;Array.isArray(t)||(r=!1,t=[t]);var i=e.gd,a=U(i),o=V(i),s=O(t.map((function(t){var r=t._x0||t.x0||t.x||0,n=t._x1||t.x1||t.x||0,s=t._y0||t.y0||t.y||0,l=t._y1||t.y1||t.y||0,u=t.eventData;if(u){var c=Math.min(r,n),f=Math.max(r,n),h=Math.min(s,l),d=Math.max(s,l),v=t.trace;if(g.traceIs(v,"gl3d")){var y=i._fullLayout[v.scene]._scene.container,m=y.offsetLeft,x=y.offsetTop;c+=m,f+=m,h+=x,d+=x}u.bbox={x0:c+o,x1:f+o,y0:h+a,y1:d+a},e.inOut_bbox&&e.inOut_bbox.push(u.bbox)}else u=!1;return{color:t.color||p.defaultLine,x0:t.x0||t.x||0,x1:t.x1||t.x||0,y0:t.y0||t.y||0,y1:t.y1||t.y||0,xLabel:t.xLabel,yLabel:t.yLabel,zLabel:t.zLabel,text:t.text,name:t.name,idealAlign:t.idealAlign,borderColor:t.borderColor,fontFamily:t.fontFamily,fontSize:t.fontSize,fontColor:t.fontColor,nameLength:t.nameLength,textAlign:t.textAlign,trace:t.trace||{index:0,hoverinfo:""},xa:{_offset:0},ya:{_offset:0},index:0,hovertemplate:t.hovertemplate||!1,hovertemplateLabels:t.hovertemplateLabels||!1,eventData:u}})),{gd:i,hovermode:"closest",rotateLabels:!1,bgColor:e.bgColor||p.background,container:n.select(e.container),outerContainer:e.outerContainer||e.container}).hoverLabels,l=0,u=0;return s.sort((function(t,e){return t.y0-e.y0})).each((function(t,r){var n=t.y0-t.by/2;t.offset=n-5([\s\S]*)<\/extra>/;function O(t,e){var r=e.gd,i=r._fullLayout,a=e.hovermode,u=e.rotateLabels,f=e.bgColor,d=e.container,v=e.outerContainer,w=e.commonLabelOpts||{};if(0===t.length)return[[]];var T=e.fontFamily||m.HOVERFONT,k=e.fontSize||m.HOVERFONTSIZE,A=t[0],E=A.xa,L=A.ya,P=a.charAt(0),O=P+"Label",D=A[O];if(void 0===D&&"multicategory"===E.type)for(var z=0;zi.width-b?(g=i.width-b,e.attr("d","M"+(b-M)+",0L"+b+","+x+M+"v"+x+(2*S+m.height)+"H-"+b+"V"+x+M+"H"+(b-2*M)+"Z")):e.attr("d","M0,0L"+M+","+x+M+"H"+b+"v"+x+(2*S+m.height)+"H-"+b+"V"+x+M+"H-"+M+"Z"),Y.minX=g-b,Y.maxX=g+b,"top"===E.side?(Y.minY=y-(2*S+m.height),Y.maxY=y-S):(Y.minY=y+S,Y.maxY=y+(2*S+m.height))}else{var _,C,P;"right"===L.side?(_="start",C=1,P="",g=E._offset+E._length):(_="end",C=-1,P="-",g=E._offset),y=L._offset+(A.y0+A.y1)/2,l.attr("text-anchor",_),e.attr("d","M0,0L"+P+M+","+M+"V"+(S+m.height/2)+"h"+P+(2*S+m.width)+"V-"+(S+m.height/2)+"H"+P+M+"V-"+M+"Z"),Y.minY=y-(S+m.height/2),Y.maxY=y+(S+m.height/2),"right"===L.side?(Y.minX=g+M,Y.maxX=g+M+(2*S+m.width)):(Y.minX=g-M-(2*S+m.width),Y.maxX=g-M);var O,I=m.height/2,z=F-m.top-I,R="clip"+i._uid+"commonlabel"+L._id;if(g=0?lt:ut+ht=0?ut:bt+ht=0?ot:st+pt=0?st:_t+pt=0,"top"!==t.idealAlign&&G||!W?G?(O+=R/2,t.anchor="start"):t.anchor="middle":(O-=R/2,t.anchor="end"),t.crossPos=O;else{if(t.pos=O,G=P+z/2+Y<=B,W=P-z/2-Y>=0,"left"!==t.idealAlign&&G||!W)if(G)P+=z/2,t.anchor="start";else{t.anchor="middle";var X=Y/2,Z=P+X-B,K=P-X;Z>0&&(P-=Z),K<0&&(P+=-K)}else P-=z/2,t.anchor="end";t.crossPos=P}w.attr("text-anchor",t.anchor),E&&A.attr("text-anchor",t.anchor),e.attr("transform",s(P,O)+(u?l(_):""))})),{hoverLabels:wt,commonLabelBoundingBox:Y}}function I(t,e,r,n,i,a){var s="",l="";void 0!==t.nameOverride&&(t.name=t.nameOverride),t.name&&(t.trace._meta&&(t.name=o.templateString(t.name,t.trace._meta)),s=N(t.name,t.nameLength));var u=r.charAt(0),c="x"===u?"y":"x";void 0!==t.zLabel?(void 0!==t.xLabel&&(l+="x: "+t.xLabel+"
"),void 0!==t.yLabel&&(l+="y: "+t.yLabel+"
"),"choropleth"!==t.trace.type&&"choroplethmapbox"!==t.trace.type&&(l+=(l?"z: ":"")+t.zLabel)):e&&t[u+"Label"]===i?l=t[c+"Label"]||"":void 0===t.xLabel?void 0!==t.yLabel&&"scattercarpet"!==t.trace.type&&(l=t.yLabel):l=void 0===t.yLabel?t.xLabel:"("+t.xLabel+", "+t.yLabel+")",!t.text&&0!==t.text||Array.isArray(t.text)||(l+=(l?"
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i,s,l,u,f=r.select("text.nums"),p=t.anchor,d="end"===p?-1:1,v=(u=(l=(s={start:1,end:-1,middle:0}[(i=t).anchor])*(M+S))+s*(i.txwidth+S),"middle"===i.anchor&&(l-=i.tx2width/2,u+=i.txwidth/2+S),{alignShift:s,textShiftX:l,text2ShiftX:u}),g=D(t,e),y=g.x,m=g.y,x="middle"===p;r.select("path").attr("d",x?"M-"+a(t.bx/2+t.tx2width/2)+","+o(m-t.by/2)+"h"+a(t.bx)+"v"+o(t.by)+"h-"+a(t.bx)+"Z":"M0,0L"+a(d*M+y)+","+o(M+m)+"v"+o(t.by/2-M)+"h"+a(d*t.bx)+"v-"+o(t.by)+"H"+a(d*M+y)+"V"+o(m-M)+"Z");var b=y+v.textShiftX,_=m+t.ty0-t.by/2+S,w=t.textAlign||"auto";"auto"!==w&&("left"===w&&"start"!==p?(f.attr("text-anchor","start"),b=x?-t.bx/2-t.tx2width/2+S:-t.bx-S):"right"===w&&"end"!==p&&(f.attr("text-anchor","end"),b=x?t.bx/2-t.tx2width/2-S:t.bx+S)),f.call(c.positionText,a(b),o(_)),t.tx2width&&(r.select("text.name").call(c.positionText,a(v.text2ShiftX+v.alignShift*S+y),o(m+t.ty0-t.by/2+S)),r.select("rect").call(h.setRect,a(v.text2ShiftX+(v.alignShift-1)*t.tx2width/2+y),o(m-t.by/2-1),a(t.tx2width),o(t.by+2)))}))}function R(t,e){var r=t.index,n=t.trace||{},a=t.cd[0],s=t.cd[r]||{};function l(t){return t||i(t)&&0===t}var u=Array.isArray(r)?function(t,e){var i=o.castOption(a,r,t);return l(i)?i:o.extractOption({},n,"",e)}:function(t,e){return o.extractOption(s,n,t,e)};function c(e,r,n){var i=u(r,n);l(i)&&(t[e]=i)}if(c("hoverinfo","hi","hoverinfo"),c("bgcolor","hbg","hoverlabel.bgcolor"),c("borderColor","hbc","hoverlabel.bordercolor"),c("fontFamily","htf","hoverlabel.font.family"),c("fontSize","hts","hoverlabel.font.size"),c("fontColor","htc","hoverlabel.font.color"),c("nameLength","hnl","hoverlabel.namelength"),c("textAlign","hta","hoverlabel.align"),t.posref="y"===e||"closest"===e&&"h"===n.orientation?t.xa._offset+(t.x0+t.x1)/2:t.ya._offset+(t.y0+t.y1)/2,t.x0=o.constrain(t.x0,0,t.xa._length),t.x1=o.constrain(t.x1,0,t.xa._length),t.y0=o.constrain(t.y0,0,t.ya._length),t.y1=o.constrain(t.y1,0,t.ya._length),void 0!==t.xLabelVal&&(t.xLabel="xLabel"in t?t.xLabel:v.hoverLabelText(t.xa,t.xLabelVal,n.xhoverformat),t.xVal=t.xa.c2d(t.xLabelVal)),void 0!==t.yLabelVal&&(t.yLabel="yLabel"in t?t.yLabel:v.hoverLabelText(t.ya,t.yLabelVal,n.yhoverformat),t.yVal=t.ya.c2d(t.yLabelVal)),void 0!==t.zLabelVal&&void 0===t.zLabel&&(t.zLabel=String(t.zLabelVal)),!(isNaN(t.xerr)||"log"===t.xa.type&&t.xerr<=0)){var f=v.tickText(t.xa,t.xa.c2l(t.xerr),"hover").text;void 0!==t.xerrneg?t.xLabel+=" +"+f+" / -"+v.tickText(t.xa,t.xa.c2l(t.xerrneg),"hover").text:t.xLabel+=" ± "+f,"x"===e&&(t.distance+=1)}if(!(isNaN(t.yerr)||"log"===t.ya.type&&t.yerr<=0)){var h=v.tickText(t.ya,t.ya.c2l(t.yerr),"hover").text;void 0!==t.yerrneg?t.yLabel+=" +"+h+" / -"+v.tickText(t.ya,t.ya.c2l(t.yerrneg),"hover").text:t.yLabel+=" ± "+h,"y"===e&&(t.distance+=1)}var p=t.hoverinfo||t.trace.hoverinfo;return p&&"all"!==p&&(-1===(p=Array.isArray(p)?p:p.split("+")).indexOf("x")&&(t.xLabel=void 0),-1===p.indexOf("y")&&(t.yLabel=void 0),-1===p.indexOf("z")&&(t.zLabel=void 0),-1===p.indexOf("text")&&(t.text=void 0),-1===p.indexOf("name")&&(t.name=void 0)),t}function F(t,e,r){var n,i,o=r.container,s=r.fullLayout,l=s._size,u=r.event,c=!!e.hLinePoint,f=!!e.vLinePoint;if(o.selectAll(".spikeline").remove(),f||c){var d=p.combine(s.plot_bgcolor,s.paper_bgcolor);if(c){var g,y,m=e.hLinePoint;n=m&&m.xa,"cursor"===(i=m&&m.ya).spikesnap?(g=u.pointerX,y=u.pointerY):(g=n._offset+m.x,y=i._offset+m.y);var x,b,_=a.readability(m.color,d)<1.5?p.contrast(d):m.color,w=i.spikemode,T=i.spikethickness,k=i.spikecolor||_,A=v.getPxPosition(t,i);if(-1!==w.indexOf("toaxis")||-1!==w.indexOf("across")){if(-1!==w.indexOf("toaxis")&&(x=A,b=g),-1!==w.indexOf("across")){var 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l=o.selectAll("g."+f.headerGroupClassName).data(r,p);l.enter().append("g").classed(f.headerGroupClassName,!0);for(var u=s.ensureSingle(o,"g",f.dropdownButtonGroupClassName,(function(t){t.style("pointer-events","all")})),c=0;cw,A=s.barLength+2*s.barPad,M=s.barWidth+2*s.barPad,S=d,E=g+y;E+M>u&&(E=u-M);var L=this.container.selectAll("rect.scrollbar-horizontal").data(k?[0]:[]);L.exit().on(".drag",null).remove(),L.enter().append("rect").classed("scrollbar-horizontal",!0).call(i.fill,s.barColor),k?(this.hbar=L.attr({rx:s.barRadius,ry:s.barRadius,x:S,y:E,width:A,height:M}),this._hbarXMin=S+A/2,this._hbarTranslateMax=w-A):(delete this.hbar,delete this._hbarXMin,delete this._hbarTranslateMax);var C=y>T,P=s.barWidth+2*s.barPad,O=s.barLength+2*s.barPad,I=d+v,D=g;I+P>l&&(I=l-P);var z=this.container.selectAll("rect.scrollbar-vertical").data(C?[0]:[]);z.exit().on(".drag",null).remove(),z.enter().append("rect").classed("scrollbar-vertical",!0).call(i.fill,s.barColor),C?(this.vbar=z.attr({rx:s.barRadius,ry:s.barRadius,x:I,y:D,width:P,height:O}),this._vbarYMin=D+O/2,this._vbarTranslateMax=T-O):(delete this.vbar,delete this._vbarYMin,delete this._vbarTranslateMax);var R=this.id,F=c-.5,B=C?f+P+.5:f+.5,N=h-.5,j=k?p+M+.5:p+.5,U=o._topdefs.selectAll("#"+R).data(k||C?[0]:[]);if(U.exit().remove(),U.enter().append("clipPath").attr("id",R).append("rect"),k||C?(this._clipRect=U.select("rect").attr({x:Math.floor(F),y:Math.floor(N),width:Math.ceil(B)-Math.floor(F),height:Math.ceil(j)-Math.floor(N)}),this.container.call(a.setClipUrl,R,this.gd),this.bg.attr({x:d,y:g,width:v,height:y})):(this.bg.attr({width:0,height:0}),this.container.on("wheel",null).on(".drag",null).call(a.setClipUrl,null),delete this._clipRect),k||C){var 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r=this.position.w-this._box.w,n=this.position.h-this._box.h;if(t=o.constrain(t||0,0,r),e=o.constrain(e||0,0,n),this.translateX=t,this.translateY=e,this.container.call(a.setTranslate,this._box.l-this.position.l-t,this._box.t-this.position.t-e),this._clipRect&&this._clipRect.attr({x:Math.floor(this.position.l+t-.5),y:Math.floor(this.position.t+e-.5)}),this.hbar){var i=t/r;this.hbar.call(a.setTranslate,t+i*this._hbarTranslateMax,e)}if(this.vbar){var s=e/n;this.vbar.call(a.setTranslate,t,e+s*this._vbarTranslateMax)}}},84284:function(t){"use strict";t.exports={FROM_BL:{left:0,center:.5,right:1,bottom:0,middle:.5,top:1},FROM_TL:{left:0,center:.5,right:1,bottom:1,middle:.5,top:0},FROM_BR:{left:1,center:.5,right:0,bottom:0,middle:.5,top:1},LINE_SPACING:1.3,CAP_SHIFT:.7,MID_SHIFT:.35,OPPOSITE_SIDE:{left:"right",right:"left",top:"bottom",bottom:"top"}}},36208:function(t){"use strict";t.exports={axisRefDescription:function(t,e,r){return["If set to a",t,"axis id (e.g. *"+t+"* or","*"+t+"2*), the 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r=t[i[e]];r.visible?(this.enabled[e]=r.showspikes,this.colors[e]=n(r.spikecolor),this.drawSides[e]=r.spikesides,this.lineWidth[e]=r.spikethickness):(this.enabled[e]=!1,this.drawSides[e]=!1)}},t.exports=function(t){var e=new a;return e.merge(t),e}},87152:function(t,e,r){"use strict";t.exports=function(t){for(var e=t.axesOptions,r=t.glplot.axesPixels,s=t.fullSceneLayout,l=[[],[],[]],u=0;u<3;++u){var c=s[a[u]];if(c._length=(r[u].hi-r[u].lo)*r[u].pixelsPerDataUnit/t.dataScale[u],Math.abs(c._length)===1/0||isNaN(c._length))l[u]=[];else{c._input_range=c.range.slice(),c.range[0]=r[u].lo/t.dataScale[u],c.range[1]=r[u].hi/t.dataScale[u],c._m=1/(t.dataScale[u]*r[u].pixelsPerDataUnit),c.range[0]===c.range[1]&&(c.range[0]-=1,c.range[1]+=1);var f=c.tickmode;if("auto"===c.tickmode){c.tickmode="linear";var h=c.nticks||i.constrain(c._length/40,4,9);n.autoTicks(c,Math.abs(c.range[1]-c.range[0])/h)}for(var p=n.calcTicks(c,{msUTC:!0}),d=0;d/g," 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F=x[u=(l=c[M[o]]).type];R[o]=Math.pow(F.acc,1/F.count)/p[o]}g="data"===D||Math.max.apply(null,R)/Math.min.apply(null,R)<=4?R:[1,1,1]}c.aspectratio.x=f.aspectratio.x=g[0],c.aspectratio.y=f.aspectratio.y=g[1],c.aspectratio.z=f.aspectratio.z=g[2],n.glplot.setAspectratio(c.aspectratio),n.viewInitial.aspectratio||(n.viewInitial.aspectratio={x:c.aspectratio.x,y:c.aspectratio.y,z:c.aspectratio.z}),n.viewInitial.aspectmode||(n.viewInitial.aspectmode=c.aspectmode);var B=c.domain||null,N=e._size||null;if(B&&N){var j=n.container.style;j.position="absolute",j.left=N.l+B.x[0]*N.w+"px",j.top=N.t+(1-B.y[1])*N.h+"px",j.width=N.w*(B.x[1]-B.x[0])+"px",j.height=N.h*(B.y[1]-B.y[0])+"px"}n.glplot.redraw()}},k.destroy=function(){var t=this;t.glplot&&(t.camera.mouseListener.enabled=!1,t.container.removeEventListener("wheel",t.camera.wheelListener),t.camera=null,t.glplot.dispose(),t.container.parentNode.removeChild(t.container),t.glplot=null)},k.getCamera=function(){var t,e=this;return e.camera.view.recalcMatrix(e.camera.view.lastT()),{up:{x:(t=e.camera).up[0],y:t.up[1],z:t.up[2]},center:{x:t.center[0],y:t.center[1],z:t.center[2]},eye:{x:t.eye[0],y:t.eye[1],z:t.eye[2]},projection:{type:!0===t._ortho?"orthographic":"perspective"}}},k.setViewport=function(t){var e,r=this,n=t.camera;r.camera.lookAt.apply(this,[[(e=n).eye.x,e.eye.y,e.eye.z],[e.center.x,e.center.y,e.center.z],[e.up.x,e.up.y,e.up.z]]),r.glplot.setAspectratio(t.aspectratio),"orthographic"===n.projection.type!==r.camera._ortho&&(r.glplot.redraw(),r.glplot.clearRGBA(),r.glplot.dispose(),r.initializeGLPlot())},k.isCameraChanged=function(t){var e=this.getCamera(),r=f.nestedProperty(t,this.id+".camera").get();function n(t,e,r,n){var i=["up","center","eye"],a=["x","y","z"];return e[i[r]]&&t[i[r]][a[n]]===e[i[r]][a[n]]}var i=!1;if(void 0===r)i=!0;else{for(var a=0;a<3;a++)for(var o=0;o<3;o++)if(!n(e,r,a,o)){i=!0;break}(!r.projection||e.projection&&e.projection.type!==r.projection.type)&&(i=!0)}return i},k.isAspectChanged=function(t){var e=this.glplot.getAspectratio(),r=f.nestedProperty(t,this.id+".aspectratio").get();return void 0===r||r.x!==e.x||r.y!==e.y||r.z!==e.z},k.saveLayout=function(t){var e,r,n,i,a,o,s=this,l=s.fullLayout,u=s.isCameraChanged(t),h=s.isAspectChanged(t),p=u||h;if(p){var d={};u&&(e=s.getCamera(),n=(r=f.nestedProperty(t,s.id+".camera")).get(),d[s.id+".camera"]=n),h&&(i=s.glplot.getAspectratio(),o=(a=f.nestedProperty(t,s.id+".aspectratio")).get(),d[s.id+".aspectratio"]=o),c.call("_storeDirectGUIEdit",t,l._preGUI,d),u&&(r.set(e),f.nestedProperty(l,s.id+".camera").set(e)),h&&(a.set(i),f.nestedProperty(l,s.id+".aspectratio").set(i),s.glplot.redraw())}return p},k.updateFx=function(t,e){var r=this,n=r.camera;if(n)if("orbit"===t)n.mode="orbit",n.keyBindingMode="rotate";else if("turntable"===t){n.up=[0,0,1],n.mode="turntable",n.keyBindingMode="rotate";var i=r.graphDiv,a=i._fullLayout,o=r.fullSceneLayout.camera,s=o.up.x,l=o.up.y,u=o.up.z;if(u/Math.sqrt(s*s+l*l+u*u)<.999){var h=r.id+".camera.up",p={x:0,y:0,z:1},d={};d[h]=p;var v=i.layout;c.call("_storeDirectGUIEdit",v,a._preGUI,d),o.up=p,f.nestedProperty(v,h).set(p)}}else n.keyBindingMode=t;r.fullSceneLayout.hovermode=e},k.toImage=function(t){var e=this;t||(t="png"),e.staticMode&&e.container.appendChild(n),e.glplot.redraw();var r=e.glplot.gl,i=r.drawingBufferWidth,a=r.drawingBufferHeight;r.bindFramebuffer(r.FRAMEBUFFER,null);var o=new Uint8Array(i*a*4);r.readPixels(0,0,i,a,r.RGBA,r.UNSIGNED_BYTE,o),function(t,e,r){for(var n=0,i=r-1;n0)for(var s=255/o,l=0;l<3;++l)t[a+l]=Math.min(s*t[a+l],255)}}(o,i,a);var s=document.createElement("canvas");s.width=i,s.height=a;var 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t=i.numbersScaler(h);z+=t[2];var e,r=S(v,"numbersScale",1,t[0],z,Math.min);v._scaleNumbers||(r=1),e=v._isAngular?y-r*h.bottom:y-r*(h.top+h.bottom)/2,v._numbersTop=r*h.top+e;var n=h[T];"center"===T&&(n=(h.left+h.right)/2);var a=g-r*n;return a=S(v,"numbersTranslate",0,a,z,Math.max),l(a,e)+s(r)}))}(t,I,e,{numbersX:v,numbersY:E,numbersScaler:L,transitionOpts:r,onComplete:g}),D&&(C={range:O.gauge.axis.range,color:O.gauge.bgcolor,line:{color:O.gauge.bordercolor,width:0},thickness:1},P={range:O.gauge.axis.range,color:"rgba(0, 0, 0, 0)",line:{color:O.gauge.bordercolor,width:O.gauge.borderwidth},thickness:1});var W=I.selectAll("g.angular").data(z?e:[]);W.exit().remove();var Y=I.selectAll("g.angularaxis").data(z?e:[]);Y.exit().remove(),z&&function(t,e,r,a){var o,s,f,h,p=r[0].trace,v=a.size,g=a.radius,y=a.innerRadius,m=a.gaugeBg,x=a.gaugeOutline,b=[v.l+v.w/2,v.t+v.h/2+g/2],_=a.gauge,A=a.layer,M=a.transitionOpts,S=a.onComplete,E=Math.PI/2;function L(t){var 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U,V,q,H=j.select("path");w(M)?(H.transition().duration(M.duration).ease(M.easing).each("end",(function(){S&&S()})).each("interrupt",(function(){S&&S()})).attrTween("d",(U=N,V=L(r[0].lastY),q=L(r[0].y),function(){var t=i(V,q);return function(e){return U.endAngle(t(e))()}})),p._lastValue=r[0].y):H.attr("d","number"==typeof r[0].y?N.endAngle(L(r[0].y)):"M0,0Z"),H.call(T),j.exit().remove(),F=[];var G=p.gauge.threshold.value;(G||0===G)&&F.push({range:[G,G],color:p.gauge.threshold.color,line:{color:p.gauge.threshold.line.color,width:p.gauge.threshold.line.width},thickness:p.gauge.threshold.thickness});var W=_.selectAll("g.threshold-arc").data(F);W.enter().append("g").classed("threshold-arc",!0).append("path"),W.select("path").call(P).call(T),W.exit().remove();var Y=_.selectAll("g.gauge-outline").data([x]);Y.enter().append("g").classed("gauge-outline",!0).append("path"),Y.select("path").call(P).call(T),Y.exit().remove()}(t,0,e,{radius:U,innerRadius:V,gauge:W,layer:Y,size:B,gaugeBg:C,gaugeOutline:P,transitionOpts:r,onComplete:g});var X=I.selectAll("g.bullet").data(R?e:[]);X.exit().remove();var Z=I.selectAll("g.bulletaxis").data(R?e:[]);Z.exit().remove(),R&&function(t,e,r,n){var i,a,o,s,u,c=r[0].trace,f=n.gauge,p=n.layer,v=n.gaugeBg,g=n.gaugeOutline,y=n.size,x=c.domain,b=n.transitionOpts,_=n.onComplete;f.enter().append("g").classed("bullet",!0),f.attr("transform",l(y.l,y.t)),p.enter().append("g").classed("bulletaxis",!0).classed("crisp",!0),p.selectAll("g.xbulletaxistick,path,text").remove();var A=y.h,M=c.gauge.bar.thickness*A,S=x.x[0],E=x.x[0]+(x.x[1]-x.x[0])*(c._hasNumber||c._hasDelta?1-h.bulletNumberDomainSize:1);function L(t){t.attr("width",(function(t){return Math.max(0,i.c2p(t.range[1])-i.c2p(t.range[0]))})).attr("x",(function(t){return 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O=f.selectAll("g.value-bullet").data([c.gauge.bar]);O.enter().append("g").classed("value-bullet",!0).append("rect"),O.select("rect").attr("height",M).attr("y",(A-M)/2).call(T),w(b)?O.select("rect").transition().duration(b.duration).ease(b.easing).each("end",(function(){_&&_()})).each("interrupt",(function(){_&&_()})).attr("width",Math.max(0,i.c2p(Math.min(c.gauge.axis.range[1],r[0].y)))):O.select("rect").attr("width","number"==typeof r[0].y?Math.max(0,i.c2p(Math.min(c.gauge.axis.range[1],r[0].y))):0),O.exit().remove();var I=r.filter((function(){return 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n=r(49084),i=r(29736).axisHoverFormat,a=r(21776).Ks,o=r(16716),s=r(45464),l=r(92880).extendFlat;t.exports=l({x:{valType:"data_array",editType:"calc+clearAxisTypes"},y:{valType:"data_array",editType:"calc+clearAxisTypes"},z:{valType:"data_array",editType:"calc+clearAxisTypes"},i:{valType:"data_array",editType:"calc"},j:{valType:"data_array",editType:"calc"},k:{valType:"data_array",editType:"calc"},text:{valType:"string",dflt:"",arrayOk:!0,editType:"calc"},hovertext:{valType:"string",dflt:"",arrayOk:!0,editType:"calc"},hovertemplate:a({editType:"calc"}),xhoverformat:i("x"),yhoverformat:i("y"),zhoverformat:i("z"),delaunayaxis:{valType:"enumerated",values:["x","y","z"],dflt:"z",editType:"calc"},alphahull:{valType:"number",dflt:-1,editType:"calc"},intensity:{valType:"data_array",editType:"calc"},intensitymode:{valType:"enumerated",values:["vertex","cell"],dflt:"vertex",editType:"calc"},color:{valType:"color",editType:"calc"},vertexcolor:{valType:"data_array",editType:"calc"},facecolor:{valType:"data_array",editType:"calc"},transforms:void 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p=s(t,e,{name:"dimensions",handleItemDefaults:f}),d=function(t,e,r,o,s){s("line.shape"),s("line.hovertemplate");var l=s("line.color",o.colorway[0]);if(i(t,"line")&&n.isArrayOrTypedArray(l)){if(l.length)return s("line.colorscale"),a(t,e,o,s,{prefix:"line.",cLetter:"c"}),l.length;e.line.color=r}return 1/0}(t,e,r,c,h);o(e,c,h),Array.isArray(p)&&p.length||(e.visible=!1),u(e,p,"values",d),h("hoveron"),h("hovertemplate"),h("arrangement"),h("bundlecolors"),h("sortpaths"),h("counts");var v={family:c.font.family,size:Math.round(c.font.size),color:c.font.color};n.coerceFont(h,"labelfont",v);var g={family:c.font.family,size:Math.round(c.font.size/1.2),color:c.font.color};n.coerceFont(h,"tickfont",g)}},22020:function(t,e,r){"use strict";t.exports={attributes:r(72140),supplyDefaults:r(76671),calc:r(69136),plot:r(60268),colorbar:{container:"line",min:"cmin",max:"cmax"},moduleType:"trace",name:"parcats",basePlotModule:r(91800),categories:["noOpacity"],meta:{}}},51036:function(t,e,r){"use strict";var n=r(33428),i=r(67756).Gz,a=r(36424),o=r(93024),s=r(3400),l=s.strTranslate,u=r(43616),c=r(49760),f=r(72736);function h(t,e,r,i){var a=e._context.staticPlot,o=t.map(F.bind(0,e,r)),c=i.selectAll("g.parcatslayer").data([null]);c.enter().append("g").attr("class","parcatslayer").style("pointer-events",a?"none":"all");var h=c.selectAll("g.trace.parcats").data(o,p),m=h.enter().append("g").attr("class","trace parcats");h.attr("transform",(function(t){return l(t.x,t.y)})),m.append("g").attr("class","paths");var x=h.select("g.paths").selectAll("path.path").data((function(t){return t.paths}),p);x.attr("fill",(function(t){return t.model.color}));var w=x.enter().append("path").attr("class","path").attr("stroke-opacity",0).attr("fill",(function(t){return t.model.color})).attr("fill-opacity",0);_(w),x.attr("d",(function(t){return t.svgD})),w.empty()||x.sort(v),x.exit().remove(),x.on("mouseover",g).on("mouseout",y).on("click",b),m.append("g").attr("class","dimensions");var A=h.select("g.dimensions").selectAll("g.dimension").data((function(t){return t.dimensions}),p);A.enter().append("g").attr("class","dimension"),A.attr("transform",(function(t){return l(t.x,0)})),A.exit().remove();var M=A.selectAll("g.category").data((function(t){return t.categories}),p),S=M.enter().append("g").attr("class","category");M.attr("transform",(function(t){return l(0,t.y)})),S.append("rect").attr("class","catrect").attr("pointer-events","none"),M.select("rect.catrect").attr("fill","none").attr("width",(function(t){return t.width})).attr("height",(function(t){return t.height})),T(S);var E=M.selectAll("rect.bandrect").data((function(t){return t.bands}),p);E.each((function(){s.raiseToTop(this)})),E.attr("fill",(function(t){return t.color}));var D=E.enter().append("rect").attr("class","bandrect").attr("stroke-opacity",0).attr("fill",(function(t){return t.color})).attr("fill-opacity",0);E.attr("fill",(function(t){return t.color})).attr("width",(function(t){return t.width})).attr("height",(function(t){return t.height})).attr("y",(function(t){return t.y})).attr("cursor",(function(t){return"fixed"===t.parcatsViewModel.arrangement?"default":"perpendicular"===t.parcatsViewModel.arrangement?"ns-resize":"move"})),k(D),E.exit().remove(),S.append("text").attr("class","catlabel").attr("pointer-events","none");var z=e._fullLayout.paper_bgcolor;M.select("text.catlabel").attr("text-anchor",(function(t){return d(t)?"start":"end"})).attr("alignment-baseline","middle").style("text-shadow",f.makeTextShadow(z)).style("fill","rgb(0, 0, 0)").attr("x",(function(t){return d(t)?t.width+5:-5})).attr("y",(function(t){return t.height/2})).text((function(t){return t.model.categoryLabel})).each((function(t){u.font(n.select(this),t.parcatsViewModel.categorylabelfont),f.convertToTspans(n.select(this),e)})),S.append("text").attr("class","dimlabel"),M.select("text.dimlabel").attr("text-anchor","middle").attr("alignment-baseline","baseline").attr("cursor",(function(t){return"fixed"===t.parcatsViewModel.arrangement?"default":"ew-resize"})).attr("x",(function(t){return t.width/2})).attr("y",-5).text((function(t,e){return 0===e?t.parcatsViewModel.model.dimensions[t.model.dimensionInd].dimensionLabel:null})).each((function(t){u.font(n.select(this),t.parcatsViewModel.labelfont)})),M.selectAll("rect.bandrect").on("mouseover",L).on("mouseout",C),M.exit().remove(),A.call(n.behavior.drag().origin((function(t){return{x:t.x,y:0}})).on("dragstart",P).on("drag",O).on("dragend",I)),h.each((function(t){t.traceSelection=n.select(this),t.pathSelection=n.select(this).selectAll("g.paths").selectAll("path.path"),t.dimensionSelection=n.select(this).selectAll("g.dimensions").selectAll("g.dimension")})),h.exit().remove()}function p(t){return t.key}function d(t){var e=t.parcatsViewModel.dimensions.length,r=t.parcatsViewModel.dimensions[e-1].model.dimensionInd;return t.model.dimensionInd===r}function v(t,e){return t.model.rawColor>e.model.rawColor?1:t.model.rawColor"),L=n.mouse(f)[0];o.loneHover({trace:h,x:b-d.left+v.left,y:_-d.top+v.top,text:E,color:t.model.color,borderColor:"black",fontFamily:'Monaco, "Courier New", 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e=t.parcatsViewModel;e.dragDimension||(_(e.pathSelection),T(e.dimensionSelection.selectAll("g.category")),k(e.dimensionSelection.selectAll("g.category").selectAll("rect.bandrect")),o.loneUnhover(e.graphDiv._fullLayout._hoverlayer.node()),e.pathSelection.sort(v),-1!==e.hoverinfoItems.indexOf("skip"))||("color"===t.parcatsViewModel.hoveron?S(this,"plotly_unhover",n.event):M(this,"plotly_unhover",n.event))}function P(t){"fixed"!==t.parcatsViewModel.arrangement&&(t.dragDimensionDisplayInd=t.model.displayInd,t.initialDragDimensionDisplayInds=t.parcatsViewModel.model.dimensions.map((function(t){return t.displayInd})),t.dragHasMoved=!1,t.dragCategoryDisplayInd=null,n.select(this).selectAll("g.category").select("rect.catrect").each((function(e){var r=n.mouse(this)[0],i=n.mouse(this)[1];-2<=r&&r<=e.width+2&&-2<=i&&i<=e.height+2&&(t.dragCategoryDisplayInd=e.model.displayInd,t.initialDragCategoryDisplayInds=t.model.categories.map((function(t){return 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t,e,r=[];return{set:function(n){1===(r=n.map((function(t){return t.slice().sort(s)})).sort(A)).length&&r[0][0]===-1/0&&r[0][1]===1/0&&(r=[[0,-1]]),t=S(r),e=r.reduce((function(t,e){return[Math.min(t[0],e[0]),Math.max(t[1],e[1])]}),[1/0,-1/0])},get:function(){return r.slice()},getConsolidated:function(){return t},getBounds:function(){return e}}}();return l.set(r),{filter:l,filterSpecified:e,svgBrush:{extent:[],brushStartCallback:n,brushCallback:(o=i,function(t){var e=t.brush,r=function(t){return t.svgBrush.extent.map((function(t){return t.slice()}))}(e),n=r.slice();e.filter.set(n),o()}),brushEndCallback:a}}},ensureAxisBrush:function(t,e,r){var i=t.selectAll("."+n.cn.axisBrush).data(o,a);i.enter().append("g").classed(n.cn.axisBrush,!0),function(t,e,r){var 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n=e[0].trace;c[r]=n.index;var i=f[r]=n._fullInput.index;l[r]=t.data[i].dimensions,u[r]=t.data[i].dimensions.slice()})),n(t,e,{width:h.w,height:h.h,margin:{t:h.t,r:h.r,b:h.b,l:h.l}},{filterChanged:function(e,n,i){var a=u[e][n],o=i.map((function(t){return t.slice()})),s="dimensions["+n+"].constraintrange",l=r._tracePreGUI[t._fullData[c[e]]._fullInput.uid];if(void 0===l[s]){var h=a.constraintrange;l[s]=h||null}var p=t._fullData[c[e]].dimensions[n];o.length?(1===o.length&&(o=o[0]),a.constraintrange=o,p.constraintrange=o.slice(),o=[o]):(delete a.constraintrange,delete p.constraintrange,o=null);var d={};d[s]=o,t.emit("plotly_restyle",[d,[f[e]]])},hover:function(e){t.emit("plotly_hover",e)},unhover:function(e){t.emit("plotly_unhover",e)},axesMoved:function(e,r){var n=function(t,e){return function(r,n){return s(t,e,r)-s(t,e,n)}}(r,u[e].filter(a));l[e].sort(n),u[e].filter((function(t){return!a(t)})).sort((function(t){return 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n=r(45464),i=r(86968).u,a=r(25376),o=r(22548),s=r(21776).Ks,l=r(21776).Gw,u=r(92880).extendFlat,c=r(98192).c,f=a({editType:"plot",arrayOk:!0,colorEditType:"plot"});t.exports={labels:{valType:"data_array",editType:"calc"},label0:{valType:"number",dflt:0,editType:"calc"},dlabel:{valType:"number",dflt:1,editType:"calc"},values:{valType:"data_array",editType:"calc"},marker:{colors:{valType:"data_array",editType:"calc"},line:{color:{valType:"color",dflt:o.defaultLine,arrayOk:!0,editType:"style"},width:{valType:"number",min:0,dflt:0,arrayOk:!0,editType:"style"},editType:"calc"},pattern:c,editType:"calc"},text:{valType:"data_array",editType:"plot"},hovertext:{valType:"string",dflt:"",arrayOk:!0,editType:"style"},scalegroup:{valType:"string",dflt:"",editType:"calc"},textinfo:{valType:"flaglist",flags:["label","text","value","percent"],extras:["none"],editType:"calc"},hoverinfo:u({},n.hoverinfo,{flags:["label","text","value","percent","name"]}),hovertemplate:s({},{keys:["label","color","value","percent","text"]}),texttemplate:l({editType:"plot"},{keys:["label","color","value","percent","text"]}),textposition:{valType:"enumerated",values:["inside","outside","auto","none"],dflt:"auto",arrayOk:!0,editType:"plot"},textfont:u({},f,{}),insidetextorientation:{valType:"enumerated",values:["horizontal","radial","tangential","auto"],dflt:"auto",editType:"plot"},insidetextfont:u({},f,{}),outsidetextfont:u({},f,{}),automargin:{valType:"boolean",dflt:!1,editType:"plot"},title:{text:{valType:"string",dflt:"",editType:"plot"},font:u({},f,{}),position:{valType:"enumerated",values:["top 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n=r(38248),i=r(49760),a=r(76308),o={};function s(t){return function(e,r){return!!e&&!!(e=i(e)).isValid()&&(e=a.addOpacity(e,e.getAlpha()),t[r]||(t[r]=e),e)}}function l(t,e){var r,n=JSON.stringify(t),a=e[n];if(!a){for(a=t.slice(),r=0;r=0})),("funnelarea"===e.type?y:e.sort)&&a.sort((function(t,e){return e.v-t.v})),a[0]&&(a[0].vTotal=g),a},crossTraceCalc:function(t,e){var r=(e||{}).type;r||(r="pie");var n=t._fullLayout,i=t.calcdata,a=n[r+"colorway"],s=n["_"+r+"colormap"];n["extend"+r+"colors"]&&(a=l(a,o));for(var u=0,c=0;c0){s=!0;break}}s||(o=0)}return{hasLabels:r,hasValues:a,len:o}}function c(t,e,r,n,i){n("marker.line.width")&&n("marker.line.color",i?void 0:r.paper_bgcolor);var a=n("marker.colors");l(n,"marker.pattern",a),t.marker&&!e.marker.pattern.fgcolor&&(e.marker.pattern.fgcolor=t.marker.colors),e.marker.pattern.bgcolor||(e.marker.pattern.bgcolor=r.paper_bgcolor)}t.exports={handleLabelsAndValues:u,handleMarkerDefaults:c,supplyDefaults:function(t,e,r,n){function l(r,n){return i.coerce(t,e,a,r,n)}var f=u(l("labels"),l("values")),h=f.len;if(e._hasLabels=f.hasLabels,e._hasValues=f.hasValues,!e._hasLabels&&e._hasValues&&(l("label0"),l("dlabel")),h){e._length=h,c(t,e,n,l,!0),l("scalegroup");var p,d=l("text"),v=l("texttemplate");if(v||(p=l("textinfo",i.isArrayOrTypedArray(d)?"text+percent":"percent")),l("hovertext"),l("hovertemplate"),v||p&&"none"!==p){var g=l("textposition");s(t,e,n,l,g,{moduleHasSelected:!1,moduleHasUnselected:!1,moduleHasConstrain:!1,moduleHasCliponaxis:!1,moduleHasTextangle:!1,moduleHasInsideanchor:!1}),(Array.isArray(g)||"auto"===g||"outside"===g)&&l("automargin"),("inside"===g||"auto"===g||Array.isArray(g))&&l("insidetextorientation")}o(e,n,l);var y=l("hole");if(l("title.text")){var m=l("title.position",y?"middle center":"top center");y||"middle center"!==m||(e.title.position="top center"),i.coerceFont(l,"title.font",n.font)}l("sort"),l("direction"),l("rotation"),l("pull")}else e.visible=!1}}},53644:function(t,e,r){"use strict";var n=r(10624).appendArrayMultiPointValues;t.exports=function(t,e){var r={curveNumber:e.index,pointNumbers:t.pts,data:e._input,fullData:e,label:t.label,color:t.color,value:t.v,percent:t.percent,text:t.text,bbox:t.bbox,v:t.v};return 1===t.pts.length&&(r.pointNumber=r.i=t.pts[0]),n(r,e,t.pts),"funnelarea"===e.type&&(delete r.v,delete r.i),r}},21552:function(t,e,r){"use strict";var n=r(43616),i=r(76308);t.exports=function(t,e,r,a){var o=r.marker.pattern;o&&o.shape?n.pointStyle(t,r,a,e):i.fill(t,e.color)}},69656:function(t,e,r){"use strict";var n=r(3400);function i(t){return-1!==t.indexOf("e")?t.replace(/[.]?0+e/,"e"):-1!==t.indexOf(".")?t.replace(/[.]?0+$/,""):t}e.formatPiePercent=function(t,e){var r=i((100*t).toPrecision(3));return n.numSeparate(r,e)+"%"},e.formatPieValue=function(t,e){var r=i(t.toPrecision(10));return n.numSeparate(r,e)},e.getFirstFilled=function(t,e){if(n.isArrayOrTypedArray(t))for(var r=0;r"),name:f.hovertemplate||-1!==h.indexOf("name")?f.name:void 0,idealAlign:t.pxmid[0]<0?"left":"right",color:g.castOption(_.bgcolor,t.pts)||t.color,borderColor:g.castOption(_.bordercolor,t.pts),fontFamily:g.castOption(w.family,t.pts),fontSize:g.castOption(w.size,t.pts),fontColor:g.castOption(w.color,t.pts),nameLength:g.castOption(_.namelength,t.pts),textAlign:g.castOption(_.align,t.pts),hovertemplate:g.castOption(f.hovertemplate,t.pts),hovertemplateLabels:t,eventData:[y(t,f)]},{container:r._hoverlayer.node(),outerContainer:r._paper.node(),gd:e,inOut_bbox:T}),t.bbox=T[0],u._hasHoverLabel=!0}u._hasHoverEvent=!0,e.emit("plotly_hover",{points:[y(t,f)],event:n.event})}})),t.on("mouseout",(function(t){var r=e._fullLayout,i=e._fullData[u.index],o=n.select(this).datum();u._hasHoverEvent&&(t.originalEvent=n.event,e.emit("plotly_unhover",{points:[y(o,i)],event:n.event}),u._hasHoverEvent=!1),u._hasHoverLabel&&(a.loneUnhover(r._hoverlayer.node()),u._hasHoverLabel=!1)})),t.on("click",(function(t){var r=e._fullLayout,i=e._fullData[u.index];e._dragging||!1===r.hovermode||(e._hoverdata=[y(t,i)],a.click(e,n.event))}))}function b(t,e,r){var n=g.castOption(t.insidetextfont.color,e.pts);!n&&t._input.textfont&&(n=g.castOption(t._input.textfont.color,e.pts));var i=g.castOption(t.insidetextfont.family,e.pts)||g.castOption(t.textfont.family,e.pts)||r.family,a=g.castOption(t.insidetextfont.size,e.pts)||g.castOption(t.textfont.size,e.pts)||r.size;return{color:n||o.contrast(e.color),family:i,size:a}}function _(t,e){for(var r,n,i=0;ie&&e>n||r=-4;g-=2)y(Math.PI*g,"tan");for(g=4;g>=-4;g-=2)y(Math.PI*(g+1),"tan")}if(f||p){for(g=4;g>=-4;g-=2)y(Math.PI*(g+1.5),"rad");for(g=4;g>=-4;g-=2)y(Math.PI*(g+.5),"rad")}}if(s||d||f){var m=Math.sqrt(t.width*t.width+t.height*t.height);if((a={scale:i*n*2/m,rCenter:1-i,rotate:0}).textPosAngle=(e.startangle+e.stopangle)/2,a.scale>=1)return a;v.push(a)}(d||p)&&((a=T(t,n,o,l,u)).textPosAngle=(e.startangle+e.stopangle)/2,v.push(a)),(d||h)&&((a=k(t,n,o,l,u)).textPosAngle=(e.startangle+e.stopangle)/2,v.push(a));for(var x=0,b=0,_=0;_=1)break}return v[x]}function T(t,e,r,n,i){e=Math.max(0,e-2*v);var a=t.width/t.height,o=S(a,n,e,r);return{scale:2*o/t.height,rCenter:A(a,o/e),rotate:M(i)}}function k(t,e,r,n,i){e=Math.max(0,e-2*v);var a=t.height/t.width,o=S(a,n,e,r);return{scale:2*o/t.width,rCenter:A(a,o/e),rotate:M(i+Math.PI/2)}}function A(t,e){return Math.cos(e)-t*e}function M(t){return(180/Math.PI*t+720)%180-90}function S(t,e,r,n){var i=t+1/(2*Math.tan(e));return r*Math.min(1/(Math.sqrt(i*i+.5)+i),n/(Math.sqrt(t*t+n/2)+t))}function E(t,e){return t.v!==e.vTotal||e.trace.hole?Math.min(1/(1+1/Math.sin(t.halfangle)),t.ring/2):1}function L(t,e){var r=e.pxmid[0],n=e.pxmid[1],i=t.width/2,a=t.height/2;return r<0&&(i*=-1),n<0&&(a*=-1),{scale:1,rCenter:1,rotate:0,x:i+Math.abs(a)*(i>0?1:-1)/2,y:a/(1+r*r/(n*n)),outside:!0}}function C(t,e){var r,n,i,a=t.trace,o={x:t.cx,y:t.cy},s={tx:0,ty:0};s.ty+=a.title.font.size,i=O(a),-1!==a.title.position.indexOf("top")?(o.y-=(1+i)*t.r,s.ty-=t.titleBox.height):-1!==a.title.position.indexOf("bottom")&&(o.y+=(1+i)*t.r);var l,u=t.r/(void 0===(l=t.trace.aspectratio)?1:l),c=e.w*(a.domain.x[1]-a.domain.x[0])/2;return-1!==a.title.position.indexOf("left")?(c+=u,o.x-=(1+i)*u,s.tx+=t.titleBox.width/2):-1!==a.title.position.indexOf("center")?c*=2:-1!==a.title.position.indexOf("right")&&(c+=u,o.x+=(1+i)*u,s.tx-=t.titleBox.width/2),r=c/t.titleBox.width,n=P(t,e)/t.titleBox.height,{x:o.x,y:o.y,scale:Math.min(r,n),tx:s.tx,ty:s.ty}}function P(t,e){var r=t.trace,n=e.h*(r.domain.y[1]-r.domain.y[0]);return Math.min(t.titleBox.height,n/2)}function O(t){var e,r=t.pull;if(!r)return 0;if(l.isArrayOrTypedArray(r))for(r=0,e=0;er&&(r=t.pull[e]);return r}function I(t,e){for(var r=[],n=0;n1?c=(u=r.r)/i.aspectratio:u=(c=r.r)*i.aspectratio,l=(u*=(1+i.baseratio)/2)*c}o=Math.min(o,l/r.vTotal)}for(n=0;n")}if(a){var x=l.castOption(i,e.i,"texttemplate");if(x){var b=function(t){return{label:t.label,value:t.v,valueLabel:g.formatPieValue(t.v,n.separators),percent:t.v/r.vTotal,percentLabel:g.formatPiePercent(t.v/r.vTotal,n.separators),color:t.color,text:t.text,customdata:l.castOption(i,t.i,"customdata")}}(e),_=g.getFirstFilled(i.text,e.pts);(m(_)||""===_)&&(b.text=_),e.text=l.texttemplateString(x,b,t._fullLayout._d3locale,b,i._meta||{})}else e.text=""}}function R(t,e){var r=t.rotate*Math.PI/180,n=Math.cos(r),i=Math.sin(r),a=(e.left+e.right)/2,o=(e.top+e.bottom)/2;t.textX=a*n-o*i,t.textY=a*i+o*n,t.noCenter=!0}t.exports={plot:function(t,e){var r=t._context.staticPlot,a=t._fullLayout,h=a._size;d("pie",a),_(e,t),I(e,h);var v=l.makeTraceGroups(a._pielayer,e,"trace").each((function(e){var d=n.select(this),v=e[0],y=v.trace;!function(t){var e,r,n,i=t[0],a=i.r,o=i.trace,s=g.getRotationAngle(o.rotation),l=2*Math.PI/i.vTotal,u="px0",c="px1";if("counterclockwise"===o.direction){for(e=0;ei.vTotal/2?1:0,r.halfangle=Math.PI*Math.min(r.v/i.vTotal,.5),r.ring=1-o.hole,r.rInscribed=E(r,i))}(e),d.attr("stroke-linejoin","round"),d.each((function(){var m=n.select(this).selectAll("g.slice").data(e);m.enter().append("g").classed("slice",!0),m.exit().remove();var _=[[[],[]],[[],[]]],T=!1;m.each((function(i,o){if(i.hidden)n.select(this).selectAll("path,g").remove();else{i.pointNumber=i.i,i.curveNumber=y.index,_[i.pxmid[1]<0?0:1][i.pxmid[0]<0?0:1].push(i);var u=v.cx,c=v.cy,h=n.select(this),d=h.selectAll("path.surface").data([i]);if(d.enter().append("path").classed("surface",!0).style({"pointer-events":r?"none":"all"}),h.call(x,t,e),y.pull){var m=+g.castOption(y.pull,i.pts)||0;m>0&&(u+=m*i.pxmid[0],c+=m*i.pxmid[1])}i.cxFinal=u,i.cyFinal=c;var k=y.hole;if(i.v===v.vTotal){var A="M"+(u+i.px0[0])+","+(c+i.px0[1])+P(i.px0,i.pxmid,!0,1)+P(i.pxmid,i.px0,!0,1)+"Z";k?d.attr("d","M"+(u+k*i.px0[0])+","+(c+k*i.px0[1])+P(i.px0,i.pxmid,!1,k)+P(i.pxmid,i.px0,!1,k)+"Z"+A):d.attr("d",A)}else{var M=P(i.px0,i.px1,!0,1);if(k){var S=1-k;d.attr("d","M"+(u+k*i.px1[0])+","+(c+k*i.px1[1])+P(i.px1,i.px0,!1,k)+"l"+S*i.px0[0]+","+S*i.px0[1]+M+"Z")}else d.attr("d","M"+u+","+c+"l"+i.px0[0]+","+i.px0[1]+M+"Z")}z(t,i,v);var E=g.castOption(y.textposition,i.pts),C=h.selectAll("g.slicetext").data(i.text&&"none"!==E?[0]:[]);C.enter().append("g").classed("slicetext",!0),C.exit().remove(),C.each((function(){var r=l.ensureSingle(n.select(this),"text","",(function(t){t.attr("data-notex",1)})),h=l.ensureUniformFontSize(t,"outside"===E?function(t,e,r){return{color:g.castOption(t.outsidetextfont.color,e.pts)||g.castOption(t.textfont.color,e.pts)||r.color,family:g.castOption(t.outsidetextfont.family,e.pts)||g.castOption(t.textfont.family,e.pts)||r.family,size:g.castOption(t.outsidetextfont.size,e.pts)||g.castOption(t.textfont.size,e.pts)||r.size}}(y,i,a.font):b(y,i,a.font));r.text(i.text).attr({class:"slicetext",transform:"","text-anchor":"middle"}).call(s.font,h).call(f.convertToTspans,t);var d,m=s.bBox(r.node());if("outside"===E)d=L(m,i);else if(d=w(m,i,v),"auto"===E&&d.scale<1){var x=l.ensureUniformFontSize(t,y.outsidetextfont);r.call(s.font,x),d=L(m=s.bBox(r.node()),i)}var _=d.textPosAngle,k=void 0===_?i.pxmid:D(v.r,_);if(d.targetX=u+k[0]*d.rCenter+(d.x||0),d.targetY=c+k[1]*d.rCenter+(d.y||0),R(d,m),d.outside){var A=d.targetY;i.yLabelMin=A-m.height/2,i.yLabelMid=A,i.yLabelMax=A+m.height/2,i.labelExtraX=0,i.labelExtraY=0,T=!0}d.fontSize=h.size,p(y.type,d,a),e[o].transform=d,l.setTransormAndDisplay(r,d)}))}function P(t,e,r,n){var a=n*(e[0]-t[0]),o=n*(e[1]-t[1]);return"a"+n*v.r+","+n*v.r+" 0 "+i.largeArc+(r?" 1 ":" 0 ")+a+","+o}}));var k=n.select(this).selectAll("g.titletext").data(y.title.text?[0]:[]);if(k.enter().append("g").classed("titletext",!0),k.exit().remove(),k.each((function(){var e,r=l.ensureSingle(n.select(this),"text","",(function(t){t.attr("data-notex",1)})),i=y.title.text;y._meta&&(i=l.templateString(i,y._meta)),r.text(i).attr({class:"titletext",transform:"","text-anchor":"middle"}).call(s.font,y.title.font).call(f.convertToTspans,t),e="middle center"===y.title.position?function(t){var e=Math.sqrt(t.titleBox.width*t.titleBox.width+t.titleBox.height*t.titleBox.height);return{x:t.cx,y:t.cy,scale:t.trace.hole*t.r*2/e,tx:0,ty:-t.titleBox.height/2+t.trace.title.font.size}}(v):C(v,h),r.attr("transform",c(e.x,e.y)+u(Math.min(1,e.scale))+c(e.tx,e.ty))})),T&&function(t,e){var r,n,i,a,o,s,u,c,f,h,p,d,v;function y(t,e){return t.pxmid[1]-e.pxmid[1]}function m(t,e){return e.pxmid[1]-t.pxmid[1]}function x(t,r){r||(r={});var i,c,f,p,d=r.labelExtraY+(n?r.yLabelMax:r.yLabelMin),v=n?t.yLabelMin:t.yLabelMax,y=n?t.yLabelMax:t.yLabelMin,m=t.cyFinal+o(t.px0[1],t.px1[1]),x=d-v;if(x*u>0&&(t.labelExtraY=x),l.isArrayOrTypedArray(e.pull))for(c=0;c=(g.castOption(e.pull,f.pts)||0)||((t.pxmid[1]-f.pxmid[1])*u>0?(x=f.cyFinal+o(f.px0[1],f.px1[1])-v-t.labelExtraY)*u>0&&(t.labelExtraY+=x):(y+t.labelExtraY-m)*u>0&&(i=3*s*Math.abs(c-h.indexOf(t)),(p=f.cxFinal+a(f.px0[0],f.px1[0])+i-(t.cxFinal+t.pxmid[0])-t.labelExtraX)*s>0&&(t.labelExtraX+=p)))}for(n=0;n<2;n++)for(i=n?y:m,o=n?Math.max:Math.min,u=n?1:-1,r=0;r<2;r++){for(a=r?Math.max:Math.min,s=r?1:-1,(c=t[n][r]).sort(i),f=t[1-n][r],h=f.concat(c),d=[],p=0;pMath.abs(f)?s+="l"+f*t.pxmid[0]/t.pxmid[1]+","+f+"H"+(a+t.labelExtraX+u):s+="l"+t.labelExtraX+","+c+"v"+(f-c)+"h"+u}else s+="V"+(t.yLabelMid+t.labelExtraY)+"h"+u;l.ensureSingle(r,"path","textline").call(o.stroke,e.outsidetextfont.color).attr({"stroke-width":Math.min(2,e.outsidetextfont.size/8),d:s,fill:"none"})}else r.select("path.textline").remove()}))}(m,y),T&&y.automargin){var A=s.bBox(d.node()),M=y.domain,S=h.w*(M.x[1]-M.x[0]),E=h.h*(M.y[1]-M.y[0]),P=(.5*S-v.r)/h.w,O=(.5*E-v.r)/h.h;i.autoMargin(t,"pie."+y.uid+".automargin",{xl:M.x[0]-P,xr:M.x[1]+P,yb:M.y[0]-O,yt:M.y[1]+O,l:Math.max(v.cx-v.r-A.left,0),r:Math.max(A.right-(v.cx+v.r),0),b:Math.max(A.bottom-(v.cy+v.r),0),t:Math.max(v.cy-v.r-A.top,0),pad:5})}}))}));setTimeout((function(){v.selectAll("tspan").each((function(){var t=n.select(this);t.attr("dy")&&t.attr("dy",t.attr("dy"))}))}),0)},formatSliceLabel:z,transformInsideText:w,determineInsideTextFont:b,positionTitleOutside:C,prerenderTitles:_,layoutAreas:I,attachFxHandlers:x,computeTransform:R}},22152:function(t,e,r){"use strict";var n=r(33428),i=r(10528),a=r(82744).resizeText;t.exports=function(t){var e=t._fullLayout._pielayer.selectAll(".trace");a(t,e,"pie"),e.each((function(e){var r=e[0].trace,a=n.select(this);a.style({opacity:r.opacity}),a.selectAll("path.surface").each((function(e){n.select(this).call(i,e,r,t)}))}))}},10528:function(t,e,r){"use strict";var n=r(76308),i=r(69656).castOption,a=r(21552);t.exports=function(t,e,r,o){var s=r.marker.line,l=i(s.color,e.pts)||n.defaultLine,u=i(s.width,e.pts)||0;t.call(a,e,r,o).style("stroke-width",u).call(n.stroke,l)}},35484:function(t,e,r){"use strict";var n=r(52904);t.exports={x:n.x,y:n.y,xy:{valType:"data_array",editType:"calc"},indices:{valType:"data_array",editType:"calc"},xbounds:{valType:"data_array",editType:"calc"},ybounds:{valType:"data_array",editType:"calc"},text:n.text,marker:{color:{valType:"color",arrayOk:!1,editType:"calc"},opacity:{valType:"number",min:0,max:1,dflt:1,arrayOk:!1,editType:"calc"},blend:{valType:"boolean",dflt:null,editType:"calc"},sizemin:{valType:"number",min:.1,max:2,dflt:.5,editType:"calc"},sizemax:{valType:"number",min:.1,dflt:20,editType:"calc"},border:{color:{valType:"color",arrayOk:!1,editType:"calc"},arearatio:{valType:"number",min:0,max:1,dflt:0,editType:"calc"},editType:"calc"},editType:"calc"},transforms:void 0}},11072:function(t,e,r){"use strict";var n=r(67792).gl_pointcloud2d,i=r(3400).isArrayOrTypedArray,a=r(43080),o=r(19280).findExtremes,s=r(44928);function l(t,e){this.scene=t,this.uid=e,this.type="pointcloud",this.pickXData=[],this.pickYData=[],this.xData=[],this.yData=[],this.textLabels=[],this.color="rgb(0, 0, 0)",this.name="",this.hoverinfo="all",this.idToIndex=new Int32Array(0),this.bounds=[0,0,0,0],this.pointcloudOptions={positions:new Float32Array(0),idToIndex:this.idToIndex,sizemin:.5,sizemax:12,color:[0,0,0,1],areaRatio:1,borderColor:[0,0,0,1]},this.pointcloud=n(t.glplot,this.pointcloudOptions),this.pointcloud._trace=this}var u=l.prototype;u.handlePick=function(t){var e=this.idToIndex[t.pointId];return{trace:this,dataCoord:t.dataCoord,traceCoord:this.pickXYData?[this.pickXYData[2*e],this.pickXYData[2*e+1]]:[this.pickXData[e],this.pickYData[e]],textLabel:i(this.textLabels)?this.textLabels[e]:this.textLabels,color:this.color,name:this.name,pointIndex:e,hoverinfo:this.hoverinfo}},u.update=function(t){this.index=t.index,this.textLabels=t.text,this.name=t.name,this.hoverinfo=t.hoverinfo,this.bounds=[1/0,1/0,-1/0,-1/0],this.updateFast(t),this.color=s(t,{})},u.updateFast=function(t){var e,r,n,i,s,l,u=this.xData=this.pickXData=t.x,c=this.yData=this.pickYData=t.y,f=this.pickXYData=t.xy,h=t.xbounds&&t.ybounds,p=t.indices,d=this.bounds;if(f){if(n=f,e=f.length>>>1,h)d[0]=t.xbounds[0],d[2]=t.xbounds[1],d[1]=t.ybounds[0],d[3]=t.ybounds[1];else for(l=0;ld[2]&&(d[2]=i),sd[3]&&(d[3]=s);if(p)r=p;else for(r=new Int32Array(e),l=0;ld[2]&&(d[2]=i),sd[3]&&(d[3]=s);this.idToIndex=r,this.pointcloudOptions.idToIndex=r,this.pointcloudOptions.positions=n;var 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s(t,e,r,n){this.type="scattermapbox",this.subplot=t,this.uid=e,this.clusterEnabled=r,this.isHidden=n,this.sourceIds={fill:"source-"+e+"-fill",line:"source-"+e+"-line",circle:"source-"+e+"-circle",symbol:"source-"+e+"-symbol",cluster:"source-"+e+"-circle",clusterCount:"source-"+e+"-circle"},this.layerIds={fill:a+e+"-fill",line:a+e+"-line",circle:a+e+"-circle",symbol:a+e+"-symbol",cluster:a+e+"-cluster",clusterCount:a+e+"-cluster-count"},this.below=null}var l=s.prototype;l.addSource=function(t,e,r){var i={type:"geojson",data:e.geojson};r&&r.enabled&&n.extendFlat(i,{cluster:!0,clusterMaxZoom:r.maxzoom});var a=this.subplot.map.getSource(this.sourceIds[t]);a?a.setData(e.geojson):this.subplot.map.addSource(this.sourceIds[t],i)},l.setSourceData=function(t,e){this.subplot.map.getSource(this.sourceIds[t]).setData(e.geojson)},l.addLayer=function(t,e,r){var n={type:e.type,id:this.layerIds[t],source:this.sourceIds[t],layout:e.layout,paint:e.paint};e.filter&&(n.filter=e.filter);for(var i,a=this.layerIds[t],o=this.subplot.getMapLayers(),s=0;s=0;r--){var i=e[r];n.removeLayer(c.layerIds[i])}t||n.removeSource(c.sourceIds.circle)}(t):function(t){for(var e=o.nonCluster,r=e.length-1;r>=0;r--){var i=e[r];n.removeLayer(c.layerIds[i]),t||n.removeSource(c.sourceIds[i])}}(t)}function h(t){l?function(t){t||c.addSource("circle",a.circle,e.cluster);for(var r=o.cluster,n=0;n=0;r--){var n=e[r];t.removeLayer(this.layerIds[n]),t.removeSource(this.sourceIds[n])}},t.exports=function(t,e){var r,n,a,l=e[0].trace,u=l.cluster&&l.cluster.enabled,c=!0!==l.visible,f=new s(t,l.uid,u,c),h=i(t.gd,e),p=f.below=t.belowLookup["trace-"+l.uid];if(u)for(f.addSource("circle",h.circle,l.cluster),r=0;r")}}t.exports={hoverPoints:function(t,e,r,a){var o=n(t,e,r,a);if(o&&!1!==o[0].index){var s=o[0];if(void 0===s.index)return o;var l=t.subplot,u=s.cd[s.index],c=s.trace;if(l.isPtInside(u))return s.xLabelVal=void 0,s.yLabelVal=void 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n=r(47128);t.exports=function(t,e){e.surfacecolor?n(t,e,{vals:e.surfacecolor,containerStr:"",cLetter:"c"}):n(t,e,{vals:e.z,containerStr:"",cLetter:"c"})}},79164:function(t,e,r){"use strict";var n=r(67792).gl_surface3d,i=r(67792).ndarray,a=r(67792).ndarray_linear_interpolate.d2,o=r(70448),s=r(11240),l=r(3400).isArrayOrTypedArray,u=r(33040).parseColorScale,c=r(43080),f=r(8932).extractOpts;function h(t,e,r){this.scene=t,this.uid=r,this.surface=e,this.data=null,this.showContour=[!1,!1,!1],this.contourStart=[null,null,null],this.contourEnd=[null,null,null],this.contourSize=[0,0,0],this.minValues=[1/0,1/0,1/0],this.maxValues=[-1/0,-1/0,-1/0],this.dataScaleX=1,this.dataScaleY=1,this.refineData=!0,this.objectOffset=[0,0,0]}var p=h.prototype;p.getXat=function(t,e,r,n){var i=l(this.data.x)?l(this.data.x[0])?this.data.x[e][t]:this.data.x[t]:t;return void 0===r?i:n.d2l(i,0,r)},p.getYat=function(t,e,r,n){var i=l(this.data.y)?l(this.data.y[0])?this.data.y[e][t]:this.data.y[e]:e;return void 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r=c(e.cells.values),o=function(t){return t.slice(e.header.values.length,t.length)},v=c(e.header.values);v.length&&!v[0].length&&(v[0]=[""],v=c(v));var g=v.concat(o(r).map((function(){return f((v[0]||[""]).length)}))),y=e.domain,m=Math.floor(t._fullLayout._size.w*(y.x[1]-y.x[0])),x=Math.floor(t._fullLayout._size.h*(y.y[1]-y.y[0])),b=e.header.values.length?g[0].map((function(){return e.header.height})):[n.emptyHeaderHeight],_=r.length?r[0].map((function(){return e.cells.height})):[],w=b.reduce(u,0),T=d(_,x-w+n.uplift),k=p(d(b,w),[]),A=p(T,k),M={},S=e._fullInput.columnorder;s(S)&&(S=Array.from(S)),S=S.concat(o(r.map((function(t,e){return e}))));var E=g.map((function(t,r){var n=s(e.columnwidth)?e.columnwidth[Math.min(r,e.columnwidth.length-1)]:e.columnwidth;return a(n)?Number(n):1})),L=E.reduce(u,0);E=E.map((function(t){return t/L*m}));var C=Math.max(l(e.header.line.width),l(e.cells.line.width)),P={key:e.uid+t._context.staticPlot,translateX:y.x[0]*t._fullLayout._size.w,translateY:t._fullLayout._size.h*(1-y.y[1]),size:t._fullLayout._size,width:m,maxLineWidth:C,height:x,columnOrder:S,groupHeight:x,rowBlocks:A,headerRowBlocks:k,scrollY:0,cells:i({},e.cells,{values:r}),headerCells:i({},e.header,{values:g}),gdColumns:g.map((function(t){return t[0]})),gdColumnsOriginalOrder:g.map((function(t){return t[0]})),prevPages:[0,0],scrollbarState:{scrollbarScrollInProgress:!1},columns:g.map((function(t,e){var r=M[t];return M[t]=(r||0)+1,{key:t+"__"+M[t],label:t,specIndex:e,xIndex:S[e],xScale:h,x:void 0,calcdata:void 0,columnWidth:E[e]}}))};return P.columns.forEach((function(t){t.calcdata=P,t.x=h(t)})),P}},53056:function(t,e,r){"use strict";var n=r(92880).extendFlat;e.splitToPanels=function(t){var e=[0,0],r=n({},t,{key:"header",type:"header",page:0,prevPages:e,currentRepaint:[null,null],dragHandle:!0,values:t.calcdata.headerCells.values[t.specIndex],rowBlocks:t.calcdata.headerRowBlocks,calcdata:n({},t.calcdata,{cells:t.calcdata.headerCells})});return[n({},t,{key:"cells1",type:"cells",page:0,prevPages:e,currentRepaint:[null,null],dragHandle:!1,values:t.calcdata.cells.values[t.specIndex],rowBlocks:t.calcdata.rowBlocks}),n({},t,{key:"cells2",type:"cells",page:1,prevPages:e,currentRepaint:[null,null],dragHandle:!1,values:t.calcdata.cells.values[t.specIndex],rowBlocks:t.calcdata.rowBlocks}),r]},e.splitToCells=function(t){var e=function(t){var e=t.rowBlocks[t.page],r=e?e.rows[0].rowIndex:0;return[r,e?r+e.rows.length:0]}(t);return(t.values||[]).slice(e[0],e[1]).map((function(r,n){return{keyWithinBlock:n+("string"==typeof r&&r.match(/[<$&> 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f,h,p=c?"":k(t.calcdata.cells.prefix,e,r)||"",d=c?"":k(t.calcdata.cells.suffix,e,r)||"",v=c?null:k(t.calcdata.cells.format,e,r)||null,g=p+(v?o(v)(t.value):t.value)+d;if(t.wrappingNeeded=!t.wrapped&&!l&&!c&&(f=T(g)),t.cellHeightMayIncrease=s||c||t.mayHaveMarkup||(void 0===f?T(g):f),t.needsConvertToTspans=t.mayHaveMarkup||t.wrappingNeeded||t.latex,t.wrappingNeeded){var y=(" "===n.wrapSplitCharacter?g.replace(/i&&n.push(a),i+=l}return n}(i,l,s);1===u.length&&(u[0]===i.length-1?u.unshift(u[0]-1):u.push(u[0]+1)),u[0]%2&&u.reverse(),e.each((function(t,e){t.page=u[e],t.scrollY=l})),e.attr("transform",(function(t){var e=R(t.rowBlocks,t.page)-t.scrollY;return f(0,e)})),t&&(P(t,r,e,u,n.prevPages,n,0),P(t,r,e,u,n.prevPages,n,1),b(r,t))}}function C(t,e,r,a){return function(o){var s=o.calcdata?o.calcdata:o,l=e.filter((function(t){return s.key===t.key})),u=r||s.scrollbarState.dragMultiplier,c=s.scrollY;s.scrollY=void 0===a?s.scrollY+u*i.event.dy:a;var 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t&&t>=0);var e=0|Math.ceil(t/26),r=t%26;this._expand(e),r>0&&e--;for(var i=0;i0&&(this.words[i]=~this.words[i]&67108863>>26-r),this.strip()},a.prototype.notn=function(t){return this.clone().inotn(t)},a.prototype.setn=function(t,e){n("number"==typeof t&&t>=0);var r=t/26|0,i=t%26;return this._expand(r+1),this.words[r]=e?this.words[r]|1<t.length?(r=this,n=t):(r=t,n=this);for(var i=0,a=0;a>>26;for(;0!==i&&a>>26;if(this.length=r.length,0!==i)this.words[this.length]=i,this.length++;else if(r!==this)for(;at.length?this.clone().iadd(t):t.clone().iadd(this)},a.prototype.isub=function(t){if(0!==t.negative){t.negative=0;var e=this.iadd(t);return t.negative=1,e._normSign()}if(0!==this.negative)return this.negative=0,this.iadd(t),this.negative=1,this._normSign();var r,n,i=this.cmp(t);if(0===i)return this.negative=0,this.length=1,this.words[0]=0,this;i>0?(r=this,n=t):(r=t,n=this);for(var 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yt=(u+(n=n+Math.imul(f,H)|0)|0)+((8191&(i=(i=i+Math.imul(f,G)|0)+Math.imul(h,H)|0))<<13)|0;u=((a=a+Math.imul(h,G)|0)+(i>>>13)|0)+(yt>>>26)|0,yt&=67108863,n=Math.imul(y,U),i=(i=Math.imul(y,V))+Math.imul(m,U)|0,a=Math.imul(m,V),n=n+Math.imul(d,H)|0,i=(i=i+Math.imul(d,G)|0)+Math.imul(v,H)|0,a=a+Math.imul(v,G)|0;var mt=(u+(n=n+Math.imul(f,Y)|0)|0)+((8191&(i=(i=i+Math.imul(f,X)|0)+Math.imul(h,Y)|0))<<13)|0;u=((a=a+Math.imul(h,X)|0)+(i>>>13)|0)+(mt>>>26)|0,mt&=67108863,n=Math.imul(b,U),i=(i=Math.imul(b,V))+Math.imul(_,U)|0,a=Math.imul(_,V),n=n+Math.imul(y,H)|0,i=(i=i+Math.imul(y,G)|0)+Math.imul(m,H)|0,a=a+Math.imul(m,G)|0,n=n+Math.imul(d,Y)|0,i=(i=i+Math.imul(d,X)|0)+Math.imul(v,Y)|0,a=a+Math.imul(v,X)|0;var xt=(u+(n=n+Math.imul(f,K)|0)|0)+((8191&(i=(i=i+Math.imul(f,J)|0)+Math.imul(h,K)|0))<<13)|0;u=((a=a+Math.imul(h,J)|0)+(i>>>13)|0)+(xt>>>26)|0,xt&=67108863,n=Math.imul(T,U),i=(i=Math.imul(T,V))+Math.imul(k,U)|0,a=Math.imul(k,V),n=n+Math.imul(b,H)|0,i=(i=i+Math.imul(b,G)|0)+Math.imul(_,H)|0,a=a+Math.imul(_,G)|0,n=n+Math.imul(y,Y)|0,i=(i=i+Math.imul(y,X)|0)+Math.imul(m,Y)|0,a=a+Math.imul(m,X)|0,n=n+Math.imul(d,K)|0,i=(i=i+Math.imul(d,J)|0)+Math.imul(v,K)|0,a=a+Math.imul(v,J)|0;var bt=(u+(n=n+Math.imul(f,Q)|0)|0)+((8191&(i=(i=i+Math.imul(f,tt)|0)+Math.imul(h,Q)|0))<<13)|0;u=((a=a+Math.imul(h,tt)|0)+(i>>>13)|0)+(bt>>>26)|0,bt&=67108863,n=Math.imul(M,U),i=(i=Math.imul(M,V))+Math.imul(S,U)|0,a=Math.imul(S,V),n=n+Math.imul(T,H)|0,i=(i=i+Math.imul(T,G)|0)+Math.imul(k,H)|0,a=a+Math.imul(k,G)|0,n=n+Math.imul(b,Y)|0,i=(i=i+Math.imul(b,X)|0)+Math.imul(_,Y)|0,a=a+Math.imul(_,X)|0,n=n+Math.imul(y,K)|0,i=(i=i+Math.imul(y,J)|0)+Math.imul(m,K)|0,a=a+Math.imul(m,J)|0,n=n+Math.imul(d,Q)|0,i=(i=i+Math.imul(d,tt)|0)+Math.imul(v,Q)|0,a=a+Math.imul(v,tt)|0;var _t=(u+(n=n+Math.imul(f,rt)|0)|0)+((8191&(i=(i=i+Math.imul(f,nt)|0)+Math.imul(h,rt)|0))<<13)|0;u=((a=a+Math.imul(h,nt)|0)+(i>>>13)|0)+(_t>>>26)|0,_t&=67108863,n=Math.imul(L,U),i=(i=Math.imul(L,V))+Math.imul(C,U)|0,a=Math.imul(C,V),n=n+Math.imul(M,H)|0,i=(i=i+Math.imul(M,G)|0)+Math.imul(S,H)|0,a=a+Math.imul(S,G)|0,n=n+Math.imul(T,Y)|0,i=(i=i+Math.imul(T,X)|0)+Math.imul(k,Y)|0,a=a+Math.imul(k,X)|0,n=n+Math.imul(b,K)|0,i=(i=i+Math.imul(b,J)|0)+Math.imul(_,K)|0,a=a+Math.imul(_,J)|0,n=n+Math.imul(y,Q)|0,i=(i=i+Math.imul(y,tt)|0)+Math.imul(m,Q)|0,a=a+Math.imul(m,tt)|0,n=n+Math.imul(d,rt)|0,i=(i=i+Math.imul(d,nt)|0)+Math.imul(v,rt)|0,a=a+Math.imul(v,nt)|0;var wt=(u+(n=n+Math.imul(f,at)|0)|0)+((8191&(i=(i=i+Math.imul(f,ot)|0)+Math.imul(h,at)|0))<<13)|0;u=((a=a+Math.imul(h,ot)|0)+(i>>>13)|0)+(wt>>>26)|0,wt&=67108863,n=Math.imul(O,U),i=(i=Math.imul(O,V))+Math.imul(I,U)|0,a=Math.imul(I,V),n=n+Math.imul(L,H)|0,i=(i=i+Math.imul(L,G)|0)+Math.imul(C,H)|0,a=a+Math.imul(C,G)|0,n=n+Math.imul(M,Y)|0,i=(i=i+Math.imul(M,X)|0)+Math.imul(S,Y)|0,a=a+Math.imul(S,X)|0,n=n+Math.imul(T,K)|0,i=(i=i+Math.imul(T,J)|0)+Math.imul(k,K)|0,a=a+Math.imul(k,J)|0,n=n+Math.imul(b,Q)|0,i=(i=i+Math.imul(b,tt)|0)+Math.imul(_,Q)|0,a=a+Math.imul(_,tt)|0,n=n+Math.imul(y,rt)|0,i=(i=i+Math.imul(y,nt)|0)+Math.imul(m,rt)|0,a=a+Math.imul(m,nt)|0,n=n+Math.imul(d,at)|0,i=(i=i+Math.imul(d,ot)|0)+Math.imul(v,at)|0,a=a+Math.imul(v,ot)|0;var Tt=(u+(n=n+Math.imul(f,lt)|0)|0)+((8191&(i=(i=i+Math.imul(f,ut)|0)+Math.imul(h,lt)|0))<<13)|0;u=((a=a+Math.imul(h,ut)|0)+(i>>>13)|0)+(Tt>>>26)|0,Tt&=67108863,n=Math.imul(z,U),i=(i=Math.imul(z,V))+Math.imul(R,U)|0,a=Math.imul(R,V),n=n+Math.imul(O,H)|0,i=(i=i+Math.imul(O,G)|0)+Math.imul(I,H)|0,a=a+Math.imul(I,G)|0,n=n+Math.imul(L,Y)|0,i=(i=i+Math.imul(L,X)|0)+Math.imul(C,Y)|0,a=a+Math.imul(C,X)|0,n=n+Math.imul(M,K)|0,i=(i=i+Math.imul(M,J)|0)+Math.imul(S,K)|0,a=a+Math.imul(S,J)|0,n=n+Math.imul(T,Q)|0,i=(i=i+Math.imul(T,tt)|0)+Math.imul(k,Q)|0,a=a+Math.imul(k,tt)|0,n=n+Math.imul(b,rt)|0,i=(i=i+Math.imul(b,nt)|0)+Math.imul(_,rt)|0,a=a+Math.imul(_,nt)|0,n=n+Math.imul(y,at)|0,i=(i=i+Math.imul(y,ot)|0)+Math.imul(m,at)|0,a=a+Math.imul(m,ot)|0,n=n+Math.imul(d,lt)|0,i=(i=i+Math.imul(d,ut)|0)+Math.imul(v,lt)|0,a=a+Math.imul(v,ut)|0;var kt=(u+(n=n+Math.imul(f,ft)|0)|0)+((8191&(i=(i=i+Math.imul(f,ht)|0)+Math.imul(h,ft)|0))<<13)|0;u=((a=a+Math.imul(h,ht)|0)+(i>>>13)|0)+(kt>>>26)|0,kt&=67108863,n=Math.imul(B,U),i=(i=Math.imul(B,V))+Math.imul(N,U)|0,a=Math.imul(N,V),n=n+Math.imul(z,H)|0,i=(i=i+Math.imul(z,G)|0)+Math.imul(R,H)|0,a=a+Math.imul(R,G)|0,n=n+Math.imul(O,Y)|0,i=(i=i+Math.imul(O,X)|0)+Math.imul(I,Y)|0,a=a+Math.imul(I,X)|0,n=n+Math.imul(L,K)|0,i=(i=i+Math.imul(L,J)|0)+Math.imul(C,K)|0,a=a+Math.imul(C,J)|0,n=n+Math.imul(M,Q)|0,i=(i=i+Math.imul(M,tt)|0)+Math.imul(S,Q)|0,a=a+Math.imul(S,tt)|0,n=n+Math.imul(T,rt)|0,i=(i=i+Math.imul(T,nt)|0)+Math.imul(k,rt)|0,a=a+Math.imul(k,nt)|0,n=n+Math.imul(b,at)|0,i=(i=i+Math.imul(b,ot)|0)+Math.imul(_,at)|0,a=a+Math.imul(_,ot)|0,n=n+Math.imul(y,lt)|0,i=(i=i+Math.imul(y,ut)|0)+Math.imul(m,lt)|0,a=a+Math.imul(m,ut)|0,n=n+Math.imul(d,ft)|0,i=(i=i+Math.imul(d,ht)|0)+Math.imul(v,ft)|0,a=a+Math.imul(v,ht)|0;var At=(u+(n=n+Math.imul(f,dt)|0)|0)+((8191&(i=(i=i+Math.imul(f,vt)|0)+Math.imul(h,dt)|0))<<13)|0;u=((a=a+Math.imul(h,vt)|0)+(i>>>13)|0)+(At>>>26)|0,At&=67108863,n=Math.imul(B,H),i=(i=Math.imul(B,G))+Math.imul(N,H)|0,a=Math.imul(N,G),n=n+Math.imul(z,Y)|0,i=(i=i+Math.imul(z,X)|0)+Math.imul(R,Y)|0,a=a+Math.imul(R,X)|0,n=n+Math.imul(O,K)|0,i=(i=i+Math.imul(O,J)|0)+Math.imul(I,K)|0,a=a+Math.imul(I,J)|0,n=n+Math.imul(L,Q)|0,i=(i=i+Math.imul(L,tt)|0)+Math.imul(C,Q)|0,a=a+Math.imul(C,tt)|0,n=n+Math.imul(M,rt)|0,i=(i=i+Math.imul(M,nt)|0)+Math.imul(S,rt)|0,a=a+Math.imul(S,nt)|0,n=n+Math.imul(T,at)|0,i=(i=i+Math.imul(T,ot)|0)+Math.imul(k,at)|0,a=a+Math.imul(k,ot)|0,n=n+Math.imul(b,lt)|0,i=(i=i+Math.imul(b,ut)|0)+Math.imul(_,lt)|0,a=a+Math.imul(_,ut)|0,n=n+Math.imul(y,ft)|0,i=(i=i+Math.imul(y,ht)|0)+Math.imul(m,ft)|0,a=a+Math.imul(m,ht)|0;var Mt=(u+(n=n+Math.imul(d,dt)|0)|0)+((8191&(i=(i=i+Math.imul(d,vt)|0)+Math.imul(v,dt)|0))<<13)|0;u=((a=a+Math.imul(v,vt)|0)+(i>>>13)|0)+(Mt>>>26)|0,Mt&=67108863,n=Math.imul(B,Y),i=(i=Math.imul(B,X))+Math.imul(N,Y)|0,a=Math.imul(N,X),n=n+Math.imul(z,K)|0,i=(i=i+Math.imul(z,J)|0)+Math.imul(R,K)|0,a=a+Math.imul(R,J)|0,n=n+Math.imul(O,Q)|0,i=(i=i+Math.imul(O,tt)|0)+Math.imul(I,Q)|0,a=a+Math.imul(I,tt)|0,n=n+Math.imul(L,rt)|0,i=(i=i+Math.imul(L,nt)|0)+Math.imul(C,rt)|0,a=a+Math.imul(C,nt)|0,n=n+Math.imul(M,at)|0,i=(i=i+Math.imul(M,ot)|0)+Math.imul(S,at)|0,a=a+Math.imul(S,ot)|0,n=n+Math.imul(T,lt)|0,i=(i=i+Math.imul(T,ut)|0)+Math.imul(k,lt)|0,a=a+Math.imul(k,ut)|0,n=n+Math.imul(b,ft)|0,i=(i=i+Math.imul(b,ht)|0)+Math.imul(_,ft)|0,a=a+Math.imul(_,ht)|0;var St=(u+(n=n+Math.imul(y,dt)|0)|0)+((8191&(i=(i=i+Math.imul(y,vt)|0)+Math.imul(m,dt)|0))<<13)|0;u=((a=a+Math.imul(m,vt)|0)+(i>>>13)|0)+(St>>>26)|0,St&=67108863,n=Math.imul(B,K),i=(i=Math.imul(B,J))+Math.imul(N,K)|0,a=Math.imul(N,J),n=n+Math.imul(z,Q)|0,i=(i=i+Math.imul(z,tt)|0)+Math.imul(R,Q)|0,a=a+Math.imul(R,tt)|0,n=n+Math.imul(O,rt)|0,i=(i=i+Math.imul(O,nt)|0)+Math.imul(I,rt)|0,a=a+Math.imul(I,nt)|0,n=n+Math.imul(L,at)|0,i=(i=i+Math.imul(L,ot)|0)+Math.imul(C,at)|0,a=a+Math.imul(C,ot)|0,n=n+Math.imul(M,lt)|0,i=(i=i+Math.imul(M,ut)|0)+Math.imul(S,lt)|0,a=a+Math.imul(S,ut)|0,n=n+Math.imul(T,ft)|0,i=(i=i+Math.imul(T,ht)|0)+Math.imul(k,ft)|0,a=a+Math.imul(k,ht)|0;var Et=(u+(n=n+Math.imul(b,dt)|0)|0)+((8191&(i=(i=i+Math.imul(b,vt)|0)+Math.imul(_,dt)|0))<<13)|0;u=((a=a+Math.imul(_,vt)|0)+(i>>>13)|0)+(Et>>>26)|0,Et&=67108863,n=Math.imul(B,Q),i=(i=Math.imul(B,tt))+Math.imul(N,Q)|0,a=Math.imul(N,tt),n=n+Math.imul(z,rt)|0,i=(i=i+Math.imul(z,nt)|0)+Math.imul(R,rt)|0,a=a+Math.imul(R,nt)|0,n=n+Math.imul(O,at)|0,i=(i=i+Math.imul(O,ot)|0)+Math.imul(I,at)|0,a=a+Math.imul(I,ot)|0,n=n+Math.imul(L,lt)|0,i=(i=i+Math.imul(L,ut)|0)+Math.imul(C,lt)|0,a=a+Math.imul(C,ut)|0,n=n+Math.imul(M,ft)|0,i=(i=i+Math.imul(M,ht)|0)+Math.imul(S,ft)|0,a=a+Math.imul(S,ht)|0;var Lt=(u+(n=n+Math.imul(T,dt)|0)|0)+((8191&(i=(i=i+Math.imul(T,vt)|0)+Math.imul(k,dt)|0))<<13)|0;u=((a=a+Math.imul(k,vt)|0)+(i>>>13)|0)+(Lt>>>26)|0,Lt&=67108863,n=Math.imul(B,rt),i=(i=Math.imul(B,nt))+Math.imul(N,rt)|0,a=Math.imul(N,nt),n=n+Math.imul(z,at)|0,i=(i=i+Math.imul(z,ot)|0)+Math.imul(R,at)|0,a=a+Math.imul(R,ot)|0,n=n+Math.imul(O,lt)|0,i=(i=i+Math.imul(O,ut)|0)+Math.imul(I,lt)|0,a=a+Math.imul(I,ut)|0,n=n+Math.imul(L,ft)|0,i=(i=i+Math.imul(L,ht)|0)+Math.imul(C,ft)|0,a=a+Math.imul(C,ht)|0;var Ct=(u+(n=n+Math.imul(M,dt)|0)|0)+((8191&(i=(i=i+Math.imul(M,vt)|0)+Math.imul(S,dt)|0))<<13)|0;u=((a=a+Math.imul(S,vt)|0)+(i>>>13)|0)+(Ct>>>26)|0,Ct&=67108863,n=Math.imul(B,at),i=(i=Math.imul(B,ot))+Math.imul(N,at)|0,a=Math.imul(N,ot),n=n+Math.imul(z,lt)|0,i=(i=i+Math.imul(z,ut)|0)+Math.imul(R,lt)|0,a=a+Math.imul(R,ut)|0,n=n+Math.imul(O,ft)|0,i=(i=i+Math.imul(O,ht)|0)+Math.imul(I,ft)|0,a=a+Math.imul(I,ht)|0;var Pt=(u+(n=n+Math.imul(L,dt)|0)|0)+((8191&(i=(i=i+Math.imul(L,vt)|0)+Math.imul(C,dt)|0))<<13)|0;u=((a=a+Math.imul(C,vt)|0)+(i>>>13)|0)+(Pt>>>26)|0,Pt&=67108863,n=Math.imul(B,lt),i=(i=Math.imul(B,ut))+Math.imul(N,lt)|0,a=Math.imul(N,ut),n=n+Math.imul(z,ft)|0,i=(i=i+Math.imul(z,ht)|0)+Math.imul(R,ft)|0,a=a+Math.imul(R,ht)|0;var Ot=(u+(n=n+Math.imul(O,dt)|0)|0)+((8191&(i=(i=i+Math.imul(O,vt)|0)+Math.imul(I,dt)|0))<<13)|0;u=((a=a+Math.imul(I,vt)|0)+(i>>>13)|0)+(Ot>>>26)|0,Ot&=67108863,n=Math.imul(B,ft),i=(i=Math.imul(B,ht))+Math.imul(N,ft)|0,a=Math.imul(N,ht);var It=(u+(n=n+Math.imul(z,dt)|0)|0)+((8191&(i=(i=i+Math.imul(z,vt)|0)+Math.imul(R,dt)|0))<<13)|0;u=((a=a+Math.imul(R,vt)|0)+(i>>>13)|0)+(It>>>26)|0,It&=67108863;var Dt=(u+(n=Math.imul(B,dt))|0)+((8191&(i=(i=Math.imul(B,vt))+Math.imul(N,dt)|0))<<13)|0;return u=((a=Math.imul(N,vt))+(i>>>13)|0)+(Dt>>>26)|0,Dt&=67108863,l[0]=gt,l[1]=yt,l[2]=mt,l[3]=xt,l[4]=bt,l[5]=_t,l[6]=wt,l[7]=Tt,l[8]=kt,l[9]=At,l[10]=Mt,l[11]=St,l[12]=Et,l[13]=Lt,l[14]=Ct,l[15]=Pt,l[16]=Ot,l[17]=It,l[18]=Dt,0!==u&&(l[19]=u,r.length++),r};function v(t,e,r){return(new g).mulp(t,e,r)}function g(t,e){this.x=t,this.y=e}Math.imul||(d=p),a.prototype.mulTo=function(t,e){var r,n=this.length+t.length;return r=10===this.length&&10===t.length?d(this,t,e):n<63?p(this,t,e):n<1024?function(t,e,r){r.negative=e.negative^t.negative,r.length=t.length+e.length;for(var n=0,i=0,a=0;a>>26)|0)>>>26,o&=67108863}r.words[a]=s,n=o,o=i}return 0!==n?r.words[a]=n:r.length--,r.strip()}(this,t,e):v(this,t,e),r},g.prototype.makeRBT=function(t){for(var e=new Array(t),r=a.prototype._countBits(t)-1,n=0;n>=1;return n},g.prototype.permute=function(t,e,r,n,i,a){for(var o=0;o>>=1)i++;return 1<>>=13,r[2*o+1]=8191&a,a>>>=13;for(o=2*e;o>=26,e+=i/67108864|0,e+=a>>>26,this.words[r]=67108863&a}return 0!==e&&(this.words[r]=e,this.length++),this},a.prototype.muln=function(t){return this.clone().imuln(t)},a.prototype.sqr=function(){return this.mul(this)},a.prototype.isqr=function(){return this.imul(this.clone())},a.prototype.pow=function(t){var e=function(t){for(var e=new Array(t.bitLength()),r=0;r>>i}return e}(t);if(0===e.length)return new a(1);for(var r=this,n=0;n=0);var e,r=t%26,i=(t-r)/26,a=67108863>>>26-r<<26-r;if(0!==r){var o=0;for(e=0;e>>26-r}o&&(this.words[e]=o,this.length++)}if(0!==i){for(e=this.length-1;e>=0;e--)this.words[e+i]=this.words[e];for(e=0;e=0),i=e?(e-e%26)/26:0;var a=t%26,o=Math.min((t-a)/26,this.length),s=67108863^67108863>>>a<o)for(this.length-=o,u=0;u=0&&(0!==c||u>=i);u--){var f=0|this.words[u];this.words[u]=c<<26-a|f>>>a,c=f&s}return l&&0!==c&&(l.words[l.length++]=c),0===this.length&&(this.words[0]=0,this.length=1),this.strip()},a.prototype.ishrn=function(t,e,r){return n(0===this.negative),this.iushrn(t,e,r)},a.prototype.shln=function(t){return this.clone().ishln(t)},a.prototype.ushln=function(t){return this.clone().iushln(t)},a.prototype.shrn=function(t){return this.clone().ishrn(t)},a.prototype.ushrn=function(t){return this.clone().iushrn(t)},a.prototype.testn=function(t){n("number"==typeof t&&t>=0);var e=t%26,r=(t-e)/26,i=1<=0);var e=t%26,r=(t-e)/26;if(n(0===this.negative,"imaskn works only with positive numbers"),this.length<=r)return this;if(0!==e&&r++,this.length=Math.min(r,this.length),0!==e){var i=67108863^67108863>>>e<=67108864;e++)this.words[e]-=67108864,e===this.length-1?this.words[e+1]=1:this.words[e+1]++;return this.length=Math.max(this.length,e+1),this},a.prototype.isubn=function(t){if(n("number"==typeof t),n(t<67108864),t<0)return this.iaddn(-t);if(0!==this.negative)return this.negative=0,this.iaddn(t),this.negative=1,this;if(this.words[0]-=t,1===this.length&&this.words[0]<0)this.words[0]=-this.words[0],this.negative=1;else for(var e=0;e>26)-(l/67108864|0),this.words[i+r]=67108863&a}for(;i>26,this.words[i+r]=67108863&a;if(0===s)return this.strip();for(n(-1===s),s=0,i=0;i>26,this.words[i]=67108863&a;return this.negative=1,this.strip()},a.prototype._wordDiv=function(t,e){var r=(this.length,t.length),n=this.clone(),i=t,o=0|i.words[i.length-1];0!=(r=26-this._countBits(o))&&(i=i.ushln(r),n.iushln(r),o=0|i.words[i.length-1]);var s,l=n.length-i.length;if("mod"!==e){(s=new a(null)).length=l+1,s.words=new Array(s.length);for(var u=0;u=0;f--){var h=67108864*(0|n.words[i.length+f])+(0|n.words[i.length+f-1]);for(h=Math.min(h/o|0,67108863),n._ishlnsubmul(i,h,f);0!==n.negative;)h--,n.negative=0,n._ishlnsubmul(i,1,f),n.isZero()||(n.negative^=1);s&&(s.words[f]=h)}return s&&s.strip(),n.strip(),"div"!==e&&0!==r&&n.iushrn(r),{div:s||null,mod:n}},a.prototype.divmod=function(t,e,r){return n(!t.isZero()),this.isZero()?{div:new a(0),mod:new a(0)}:0!==this.negative&&0===t.negative?(s=this.neg().divmod(t,e),"mod"!==e&&(i=s.div.neg()),"div"!==e&&(o=s.mod.neg(),r&&0!==o.negative&&o.iadd(t)),{div:i,mod:o}):0===this.negative&&0!==t.negative?(s=this.divmod(t.neg(),e),"mod"!==e&&(i=s.div.neg()),{div:i,mod:s.mod}):0!=(this.negative&t.negative)?(s=this.neg().divmod(t.neg(),e),"div"!==e&&(o=s.mod.neg(),r&&0!==o.negative&&o.isub(t)),{div:s.div,mod:o}):t.length>this.length||this.cmp(t)<0?{div:new a(0),mod:this}:1===t.length?"div"===e?{div:this.divn(t.words[0]),mod:null}:"mod"===e?{div:null,mod:new a(this.modn(t.words[0]))}:{div:this.divn(t.words[0]),mod:new a(this.modn(t.words[0]))}:this._wordDiv(t,e);var i,o,s},a.prototype.div=function(t){return this.divmod(t,"div",!1).div},a.prototype.mod=function(t){return this.divmod(t,"mod",!1).mod},a.prototype.umod=function(t){return this.divmod(t,"mod",!0).mod},a.prototype.divRound=function(t){var e=this.divmod(t);if(e.mod.isZero())return e.div;var r=0!==e.div.negative?e.mod.isub(t):e.mod,n=t.ushrn(1),i=t.andln(1),a=r.cmp(n);return a<0||1===i&&0===a?e.div:0!==e.div.negative?e.div.isubn(1):e.div.iaddn(1)},a.prototype.modn=function(t){n(t<=67108863);for(var e=(1<<26)%t,r=0,i=this.length-1;i>=0;i--)r=(e*r+(0|this.words[i]))%t;return r},a.prototype.idivn=function(t){n(t<=67108863);for(var e=0,r=this.length-1;r>=0;r--){var i=(0|this.words[r])+67108864*e;this.words[r]=i/t|0,e=i%t}return this.strip()},a.prototype.divn=function(t){return this.clone().idivn(t)},a.prototype.egcd=function(t){n(0===t.negative),n(!t.isZero());var e=this,r=t.clone();e=0!==e.negative?e.umod(t):e.clone();for(var i=new a(1),o=new a(0),s=new a(0),l=new a(1),u=0;e.isEven()&&r.isEven();)e.iushrn(1),r.iushrn(1),++u;for(var c=r.clone(),f=e.clone();!e.isZero();){for(var h=0,p=1;0==(e.words[0]&p)&&h<26;++h,p<<=1);if(h>0)for(e.iushrn(h);h-- >0;)(i.isOdd()||o.isOdd())&&(i.iadd(c),o.isub(f)),i.iushrn(1),o.iushrn(1);for(var d=0,v=1;0==(r.words[0]&v)&&d<26;++d,v<<=1);if(d>0)for(r.iushrn(d);d-- >0;)(s.isOdd()||l.isOdd())&&(s.iadd(c),l.isub(f)),s.iushrn(1),l.iushrn(1);e.cmp(r)>=0?(e.isub(r),i.isub(s),o.isub(l)):(r.isub(e),s.isub(i),l.isub(o))}return{a:s,b:l,gcd:r.iushln(u)}},a.prototype._invmp=function(t){n(0===t.negative),n(!t.isZero());var e=this,r=t.clone();e=0!==e.negative?e.umod(t):e.clone();for(var i,o=new a(1),s=new a(0),l=r.clone();e.cmpn(1)>0&&r.cmpn(1)>0;){for(var u=0,c=1;0==(e.words[0]&c)&&u<26;++u,c<<=1);if(u>0)for(e.iushrn(u);u-- >0;)o.isOdd()&&o.iadd(l),o.iushrn(1);for(var f=0,h=1;0==(r.words[0]&h)&&f<26;++f,h<<=1);if(f>0)for(r.iushrn(f);f-- >0;)s.isOdd()&&s.iadd(l),s.iushrn(1);e.cmp(r)>=0?(e.isub(r),o.isub(s)):(r.isub(e),s.isub(o))}return(i=0===e.cmpn(1)?o:s).cmpn(0)<0&&i.iadd(t),i},a.prototype.gcd=function(t){if(this.isZero())return t.abs();if(t.isZero())return this.abs();var e=this.clone(),r=t.clone();e.negative=0,r.negative=0;for(var n=0;e.isEven()&&r.isEven();n++)e.iushrn(1),r.iushrn(1);for(;;){for(;e.isEven();)e.iushrn(1);for(;r.isEven();)r.iushrn(1);var i=e.cmp(r);if(i<0){var a=e;e=r,r=a}else if(0===i||0===r.cmpn(1))break;e.isub(r)}return r.iushln(n)},a.prototype.invm=function(t){return this.egcd(t).a.umod(t)},a.prototype.isEven=function(){return 0==(1&this.words[0])},a.prototype.isOdd=function(){return 1==(1&this.words[0])},a.prototype.andln=function(t){return this.words[0]&t},a.prototype.bincn=function(t){n("number"==typeof t);var e=t%26,r=(t-e)/26,i=1<>>26,s&=67108863,this.words[o]=s}return 0!==a&&(this.words[o]=a,this.length++),this},a.prototype.isZero=function(){return 1===this.length&&0===this.words[0]},a.prototype.cmpn=function(t){var e,r=t<0;if(0!==this.negative&&!r)return-1;if(0===this.negative&&r)return 1;if(this.strip(),this.length>1)e=1;else{r&&(t=-t),n(t<=67108863,"Number is too big");var i=0|this.words[0];e=i===t?0:it.length)return 1;if(this.length=0;r--){var n=0|this.words[r],i=0|t.words[r];if(n!==i){ni&&(e=1);break}}return e},a.prototype.gtn=function(t){return 1===this.cmpn(t)},a.prototype.gt=function(t){return 1===this.cmp(t)},a.prototype.gten=function(t){return this.cmpn(t)>=0},a.prototype.gte=function(t){return this.cmp(t)>=0},a.prototype.ltn=function(t){return-1===this.cmpn(t)},a.prototype.lt=function(t){return-1===this.cmp(t)},a.prototype.lten=function(t){return this.cmpn(t)<=0},a.prototype.lte=function(t){return this.cmp(t)<=0},a.prototype.eqn=function(t){return 0===this.cmpn(t)},a.prototype.eq=function(t){return 0===this.cmp(t)},a.red=function(t){return new T(t)},a.prototype.toRed=function(t){return n(!this.red,"Already a number in reduction context"),n(0===this.negative,"red works only with positives"),t.convertTo(this)._forceRed(t)},a.prototype.fromRed=function(){return n(this.red,"fromRed works only with numbers in reduction context"),this.red.convertFrom(this)},a.prototype._forceRed=function(t){return this.red=t,this},a.prototype.forceRed=function(t){return n(!this.red,"Already a number in reduction context"),this._forceRed(t)},a.prototype.redAdd=function(t){return n(this.red,"redAdd works only with red numbers"),this.red.add(this,t)},a.prototype.redIAdd=function(t){return n(this.red,"redIAdd works only with red numbers"),this.red.iadd(this,t)},a.prototype.redSub=function(t){return n(this.red,"redSub works only with red numbers"),this.red.sub(this,t)},a.prototype.redISub=function(t){return n(this.red,"redISub works only with red numbers"),this.red.isub(this,t)},a.prototype.redShl=function(t){return n(this.red,"redShl works only with red numbers"),this.red.shl(this,t)},a.prototype.redMul=function(t){return n(this.red,"redMul works only with red numbers"),this.red._verify2(this,t),this.red.mul(this,t)},a.prototype.redIMul=function(t){return n(this.red,"redMul works only with red numbers"),this.red._verify2(this,t),this.red.imul(this,t)},a.prototype.redSqr=function(){return n(this.red,"redSqr works only with red numbers"),this.red._verify1(this),this.red.sqr(this)},a.prototype.redISqr=function(){return n(this.red,"redISqr works only with red numbers"),this.red._verify1(this),this.red.isqr(this)},a.prototype.redSqrt=function(){return n(this.red,"redSqrt works only with red numbers"),this.red._verify1(this),this.red.sqrt(this)},a.prototype.redInvm=function(){return n(this.red,"redInvm works only with red numbers"),this.red._verify1(this),this.red.invm(this)},a.prototype.redNeg=function(){return n(this.red,"redNeg works only with red numbers"),this.red._verify1(this),this.red.neg(this)},a.prototype.redPow=function(t){return n(this.red&&!t.red,"redPow(normalNum)"),this.red._verify1(this),this.red.pow(this,t)};var y={k256:null,p224:null,p192:null,p25519:null};function m(t,e){this.name=t,this.p=new a(e,16),this.n=this.p.bitLength(),this.k=new a(1).iushln(this.n).isub(this.p),this.tmp=this._tmp()}function x(){m.call(this,"k256","ffffffff ffffffff ffffffff ffffffff ffffffff ffffffff fffffffe fffffc2f")}function b(){m.call(this,"p224","ffffffff ffffffff ffffffff ffffffff 00000000 00000000 00000001")}function _(){m.call(this,"p192","ffffffff ffffffff ffffffff fffffffe ffffffff ffffffff")}function w(){m.call(this,"25519","7fffffffffffffff ffffffffffffffff ffffffffffffffff ffffffffffffffed")}function T(t){if("string"==typeof t){var e=a._prime(t);this.m=e.p,this.prime=e}else n(t.gtn(1),"modulus must be greater than 1"),this.m=t,this.prime=null}function k(t){T.call(this,t),this.shift=this.m.bitLength(),this.shift%26!=0&&(this.shift+=26-this.shift%26),this.r=new a(1).iushln(this.shift),this.r2=this.imod(this.r.sqr()),this.rinv=this.r._invmp(this.m),this.minv=this.rinv.mul(this.r).isubn(1).div(this.m),this.minv=this.minv.umod(this.r),this.minv=this.r.sub(this.minv)}m.prototype._tmp=function(){var t=new a(null);return t.words=new Array(Math.ceil(this.n/13)),t},m.prototype.ireduce=function(t){var 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v=l("labels");l("labelFont")&&(v=!0),o("labelEnable"),a("labelSize"),a("labelPad"),u("labelColor"),o("lineEnable"),o("lineMirror"),a("lineWidth"),u("lineColor"),o("lineTickEnable"),o("lineTickMirror"),a("lineTickLength"),a("lineTickWidth"),u("lineTickColor"),o("gridEnable"),a("gridWidth"),u("gridColor"),o("zeroEnable"),u("zeroLineColor"),a("zeroLineWidth"),o("backgroundEnable"),u("backgroundColor"),this._text?this._text&&(v||c)&&this._text.update(this.bounds,this.labels,this.labelFont,this.ticks,this.tickFont):this._text=n(this.gl,this.bounds,this.labels,this.labelFont,this.ticks,this.tickFont),this._lines&&c&&(this._lines.dispose(),this._lines=null),this._lines||(this._lines=i(this.gl,this.bounds,this.ticks))};var p=[new h,new h,new h];function d(t,e,r,n,i){for(var a=t.primalOffset,o=t.primalMinor,s=t.mirrorOffset,l=t.mirrorMinor,u=n[e],c=0;c<3;++c)if(e!==c){var f=a,h=s,p=o,d=l;u&1<0?(p[c]=-1,d[c]=0):(p[c]=0,d[c]=1)}}var v=[0,0,0],g={model:l,view:l,projection:l,_ortho:!1};f.isOpaque=function(){return!0},f.isTransparent=function(){return!1},f.drawTransparent=function(t){};var y=[0,0,0],m=[0,0,0],x=[0,0,0];f.draw=function(t){t=t||g;for(var e=this.gl,r=t.model||l,n=t.view||l,i=t.projection||l,a=this.bounds,s=t._ortho||!1,c=o(r,n,i,a,s),f=c.cubeEdges,h=c.axis,b=n[12],_=n[13],w=n[14],T=n[15],k=(s?2:1)*this.pixelRatio*(i[3]*b+i[7]*_+i[11]*w+i[15]*T)/e.drawingBufferHeight,A=0;A<3;++A)this.lastCubeProps.cubeEdges[A]=f[A],this.lastCubeProps.axis[A]=h[A];var M=p;for(A=0;A<3;++A)d(p[A],A,this.bounds,f,h);e=this.gl;var S,E,L,C=v;for(A=0;A<3;++A)this.backgroundEnable[A]?C[A]=h[A]:C[A]=0;for(this._background.draw(r,n,i,a,C,this.backgroundColor),this._lines.bind(r,n,i,this),A=0;A<3;++A){var P=[0,0,0];h[A]>0?P[A]=a[1][A]:P[A]=a[0][A];for(var O=0;O<2;++O){var I=(A+1+O)%3,D=(A+1+(1^O))%3;this.gridEnable[I]&&this._lines.drawGrid(I,D,this.bounds,P,this.gridColor[I],this.gridWidth[I]*this.pixelRatio)}for(O=0;O<2;++O)I=(A+1+O)%3,D=(A+1+(1^O))%3,this.zeroEnable[D]&&Math.min(a[0][D],a[1][D])<=0&&Math.max(a[0][D],a[1][D])>=0&&this._lines.drawZero(I,D,this.bounds,P,this.zeroLineColor[D],this.zeroLineWidth[D]*this.pixelRatio)}for(A=0;A<3;++A){this.lineEnable[A]&&this._lines.drawAxisLine(A,this.bounds,M[A].primalOffset,this.lineColor[A],this.lineWidth[A]*this.pixelRatio),this.lineMirror[A]&&this._lines.drawAxisLine(A,this.bounds,M[A].mirrorOffset,this.lineColor[A],this.lineWidth[A]*this.pixelRatio);var z=u(y,M[A].primalMinor),R=u(m,M[A].mirrorMinor),F=this.lineTickLength;for(O=0;O<3;++O){var B=k/r[5*O];z[O]*=F[O]*B,R[O]*=F[O]*B}this.lineTickEnable[A]&&this._lines.drawAxisTicks(A,M[A].primalOffset,z,this.lineTickColor[A],this.lineTickWidth[A]*this.pixelRatio),this.lineTickMirror[A]&&this._lines.drawAxisTicks(A,M[A].mirrorOffset,R,this.lineTickColor[A],this.lineTickWidth[A]*this.pixelRatio)}function N(t){(L=[0,0,0])[t]=1}function j(t,e,r){var n=(t+1)%3,i=(t+2)%3,a=e[n],o=e[i],s=r[n],l=r[i];a>0&&l>0||a>0&&l<0||a<0&&l>0||a<0&&l<0?N(n):(o>0&&s>0||o>0&&s<0||o<0&&s>0||o<0&&s<0)&&N(i)}for(this._lines.unbind(),this._text.bind(r,n,i,this.pixelRatio),A=0;A<3;++A){var U=M[A].primalMinor,V=M[A].mirrorMinor,q=u(x,M[A].primalOffset);for(O=0;O<3;++O)this.lineTickEnable[A]&&(q[O]+=k*U[O]*Math.max(this.lineTickLength[O],0)/r[5*O]);var H=[0,0,0];if(H[A]=1,this.tickEnable[A]){for(-3600===this.tickAngle[A]?(this.tickAngle[A]=0,this.tickAlign[A]="auto"):this.tickAlign[A]=-1,E=1,"auto"===(S=[this.tickAlign[A],.5,E])[0]?S[0]=0:S[0]=parseInt(""+S[0]),L=[0,0,0],j(A,U,V),O=0;O<3;++O)q[O]+=k*U[O]*this.tickPad[O]/r[5*O];this._text.drawTicks(A,this.tickSize[A],this.tickAngle[A],q,this.tickColor[A],H,L,S)}if(this.labelEnable[A]){for(E=0,L=[0,0,0],this.labels[A].length>4&&(N(A),E=1),"auto"===(S=[this.labelAlign[A],.5,E])[0]?S[0]=0:S[0]=parseInt(""+S[0]),O=0;O<3;++O)q[O]+=k*U[O]*this.labelPad[O]/r[5*O];q[A]+=.5*(a[0][A]+a[1][A]),this._text.drawLabel(A,this.labelSize[A],this.labelAngle[A],q,this.labelColor[A],[0,0,0],L,S)}}this._text.unbind()},f.dispose=function(){this._text.dispose(),this._lines.dispose(),this._background.dispose(),this._lines=null,this._text=null,this._background=null,this.gl=null}},1011:function(t,e,r){"use strict";t.exports=function(t){for(var e=[],r=[],s=0,l=0;l<3;++l)for(var u=(l+1)%3,c=(l+2)%3,f=[0,0,0],h=[0,0,0],p=-1;p<=1;p+=2){r.push(s,s+2,s+1,s+1,s+2,s+3),f[l]=p,h[l]=p;for(var d=-1;d<=1;d+=2){f[u]=d;for(var v=-1;v<=1;v+=2)f[c]=v,e.push(f[0],f[1],f[2],h[0],h[1],h[2]),s+=1}var g=u;u=c,c=g}var y=n(t,new Float32Array(e)),m=n(t,new Uint16Array(r),t.ELEMENT_ARRAY_BUFFER),x=i(t,[{buffer:y,type:t.FLOAT,size:3,offset:0,stride:24},{buffer:y,type:t.FLOAT,size:3,offset:12,stride:24}],m),b=a(t);return b.attributes.position.location=0,b.attributes.normal.location=1,new o(t,y,x,b)};var n=r(5827),i=r(2944),a=r(1943).bg;function o(t,e,r,n){this.gl=t,this.buffer=e,this.vao=r,this.shader=n}var s=o.prototype;s.draw=function(t,e,r,n,i,a){for(var o=!1,s=0;s<3;++s)o=o||i[s];if(o){var l=this.gl;l.enable(l.POLYGON_OFFSET_FILL),l.polygonOffset(1,2),this.shader.bind(),this.shader.uniforms={model:t,view:e,projection:r,bounds:n,enable:i,colors:a},this.vao.bind(),this.vao.draw(this.gl.TRIANGLES,36),this.vao.unbind(),l.disable(l.POLYGON_OFFSET_FILL)}},s.dispose=function(){this.vao.dispose(),this.buffer.dispose(),this.shader.dispose()}},2864:function(t,e,r){"use strict";t.exports=function(t,e,r,a,p){i(s,e,t),i(s,r,s);for(var m=0,x=0;x<2;++x){c[2]=a[x][2];for(var b=0;b<2;++b){c[1]=a[b][1];for(var _=0;_<2;++_)c[0]=a[_][0],h(l[m],c,s),m+=1}}var w=-1;for(x=0;x<8;++x){for(var T=l[x][3],k=0;k<3;++k)u[x][k]=l[x][k]/T;p&&(u[x][2]*=-1),T<0&&(w<0||u[x][2]E&&(w|=1<E&&(w|=1<u[x][1])&&(R=x);var F=-1;for(x=0;x<3;++x)(N=R^1<u[B][0]&&(B=N))}var j=v;j[0]=j[1]=j[2]=0,j[n.log2(F^R)]=R&F,j[n.log2(R^B)]=R&B;var U=7^B;U===w||U===z?(U=7^F,j[n.log2(B^U)]=U&B):j[n.log2(F^U)]=U&F;var V=g,q=w;for(A=0;A<3;++A)V[A]=q&1< HALF_PI) && (b <= ONE_AND_HALF_PI)) ?\n b - PI :\n b;\n}\n\nfloat look_horizontal_or_vertical(float a, float ratio) {\n // ratio controls the ratio between being horizontal to (vertical + horizontal)\n // if ratio is set to 0.5 then it is 50%, 50%.\n // when using a higher ratio e.g. 0.75 the result would\n // likely be more horizontal than vertical.\n\n float b = positive_angle(a);\n\n return\n (b < ( ratio) * HALF_PI) ? 0.0 :\n (b < (2.0 - ratio) * HALF_PI) ? -HALF_PI :\n (b < (2.0 + ratio) * HALF_PI) ? 0.0 :\n (b < (4.0 - ratio) * HALF_PI) ? HALF_PI :\n 0.0;\n}\n\nfloat roundTo(float a, float b) {\n return float(b * floor((a + 0.5 * b) / b));\n}\n\nfloat look_round_n_directions(float a, int n) {\n float b = positive_angle(a);\n float div = TWO_PI / float(n);\n float c = roundTo(b, div);\n return look_upwards(c);\n}\n\nfloat applyAlignOption(float rawAngle, float delta) {\n return\n (option > 2) ? look_round_n_directions(rawAngle + delta, option) : // option 3-n: round to n directions\n (option == 2) ? look_horizontal_or_vertical(rawAngle + delta, hv_ratio) : // horizontal or vertical\n (option == 1) ? rawAngle + delta : // use free angle, and flip to align with one direction of the axis\n (option == 0) ? look_upwards(rawAngle) : // use free angle, and stay upwards\n (option ==-1) ? 0.0 : // useful for backward compatibility, all texts remains horizontal\n rawAngle; // otherwise return back raw input angle\n}\n\nbool isAxisTitle = (axis.x == 0.0) &&\n (axis.y == 0.0) &&\n (axis.z == 0.0);\n\nvoid main() {\n //Compute world offset\n float axisDistance = position.z;\n vec3 dataPosition = axisDistance * axis + offset;\n\n float beta = angle; // i.e. user defined attributes for each tick\n\n float axisAngle;\n float clipAngle;\n float flip;\n\n if (enableAlign) {\n axisAngle = (isAxisTitle) ? HALF_PI :\n computeViewAngle(dataPosition, dataPosition + axis);\n clipAngle = computeViewAngle(dataPosition, dataPosition + alignDir);\n\n axisAngle += (sin(axisAngle) < 0.0) ? PI : 0.0;\n clipAngle += (sin(clipAngle) < 0.0) ? PI : 0.0;\n\n flip = (dot(vec2(cos(axisAngle), sin(axisAngle)),\n vec2(sin(clipAngle),-cos(clipAngle))) > 0.0) ? 1.0 : 0.0;\n\n beta += applyAlignOption(clipAngle, flip * PI);\n }\n\n //Compute plane offset\n vec2 planeCoord = position.xy * pixelScale;\n\n mat2 planeXform = scale * mat2(\n cos(beta), sin(beta),\n -sin(beta), cos(beta)\n );\n\n vec2 viewOffset = 2.0 * planeXform * planeCoord / resolution;\n\n //Compute clip position\n vec3 clipPosition = project(dataPosition);\n\n //Apply text offset in clip coordinates\n clipPosition += vec3(viewOffset, 0.0);\n\n //Done\n gl_Position = vec4(clipPosition, 1.0);\n}"]),l=n(["precision highp float;\n#define GLSLIFY 1\n\nuniform vec4 color;\nvoid main() {\n gl_FragColor = color;\n}"]);e.f=function(t){return i(t,s,l,null,[{name:"position",type:"vec3"}])};var u=n(["precision highp float;\n#define GLSLIFY 1\n\nattribute vec3 position;\nattribute vec3 normal;\n\nuniform mat4 model, view, projection;\nuniform vec3 enable;\nuniform vec3 bounds[2];\n\nvarying vec3 colorChannel;\n\nvoid main() {\n\n vec3 signAxis = sign(bounds[1] - bounds[0]);\n\n vec3 realNormal = signAxis * normal;\n\n if(dot(realNormal, enable) > 0.0) {\n vec3 minRange = min(bounds[0], bounds[1]);\n vec3 maxRange = max(bounds[0], bounds[1]);\n vec3 nPosition = mix(minRange, maxRange, 0.5 * (position + 1.0));\n gl_Position = projection * view * model * vec4(nPosition, 1.0);\n } else {\n gl_Position = vec4(0,0,0,0);\n }\n\n colorChannel = abs(realNormal);\n}"]),c=n(["precision highp float;\n#define GLSLIFY 1\n\nuniform vec4 colors[3];\n\nvarying vec3 colorChannel;\n\nvoid main() {\n gl_FragColor = colorChannel.x * colors[0] +\n colorChannel.y * colors[1] +\n colorChannel.z * colors[2];\n}"]);e.bg=function(t){return i(t,u,c,null,[{name:"position",type:"vec3"},{name:"normal",type:"vec3"}])}},9557:function(t,e,r){"use strict";t.exports=function(t,e,r,i,o,l){var u=n(t),f=a(t,[{buffer:u,size:3}]),h=s(t);h.attributes.position.location=0;var p=new c(t,h,u,f);return p.update(e,r,i,o,l),p};var n=r(5827),a=r(2944),o=r(875),s=r(1943).f,l=window||i.global||{},u=l.__TEXT_CACHE||{};function c(t,e,r,n){this.gl=t,this.shader=e,this.buffer=r,this.vao=n,this.tickOffset=this.tickCount=this.labelOffset=this.labelCount=null}l.__TEXT_CACHE={};var f=c.prototype,h=[0,0];f.bind=function(t,e,r,n){this.vao.bind(),this.shader.bind();var i=this.shader.uniforms;i.model=t,i.view=e,i.projection=r,i.pixelScale=n,h[0]=this.gl.drawingBufferWidth,h[1]=this.gl.drawingBufferHeight,this.shader.uniforms.resolution=h},f.unbind=function(){this.vao.unbind()},f.update=function(t,e,r,n,i){var a=[];function s(t,e,r,n,i,s){var l=u[r];l||(l=u[r]={});var c=l[e];c||(c=l[e]=function(t,e){try{return o(t,e)}catch(e){return console.warn('error vectorizing text:"'+t+'" error:',e),{cells:[],positions:[]}}}(e,{triangles:!0,font:r,textAlign:"center",textBaseline:"middle",lineSpacing:i,styletags:s}));for(var f=(n||12)/12,h=c.positions,p=c.cells,d=0,v=p.length;d=0;--y){var m=h[g[y]];a.push(f*m[0],-f*m[1],t)}}for(var l=[0,0,0],c=[0,0,0],f=[0,0,0],h=[0,0,0],p={breaklines:!0,bolds:!0,italics:!0,subscripts:!0,superscripts:!0},d=0;d<3;++d){f[d]=a.length/3|0,s(.5*(t[0][d]+t[1][d]),e[d],r[d],12,1.25,p),h[d]=(a.length/3|0)-f[d],l[d]=a.length/3|0;for(var v=0;v=0&&(i=r.length-n-1);var a=Math.pow(10,i),o=Math.round(t*e*a),s=o+"";if(s.indexOf("e")>=0)return s;var l=o/a,u=o%a;o<0?(l=0|-Math.ceil(l),u=0|-u):(l=0|Math.floor(l),u|=0);var c=""+l;if(o<0&&(c="-"+c),i){for(var f=""+u;f.length=t[0][i];--o)a.push({x:o*e[i],text:r(e[i],o)});n.push(a)}return n},e.equal=function(t,e){for(var r=0;r<3;++r){if(t[r].length!==e[r].length)return!1;for(var n=0;nr)throw new Error("gl-buffer: If resizing buffer, must not specify offset");return t.bufferSubData(e,a,i),r}function c(t,e){for(var r=n.malloc(t.length,e),i=t.length,a=0;a=0;--n){if(e[n]!==r)return!1;r*=t[n]}return!0}(t.shape,t.stride))0===t.offset&&t.data.length===t.shape[0]?this.length=u(this.gl,this.type,this.length,this.usage,t.data,e):this.length=u(this.gl,this.type,this.length,this.usage,t.data.subarray(t.offset,t.shape[0]),e);else{var s=n.malloc(t.size,r),l=a(s,t.shape);i.assign(l,t),this.length=u(this.gl,this.type,this.length,this.usage,e<0?s:s.subarray(0,t.size),e),n.free(s)}}else if(Array.isArray(t)){var f;f=this.type===this.gl.ELEMENT_ARRAY_BUFFER?c(t,"uint16"):c(t,"float32"),this.length=u(this.gl,this.type,this.length,this.usage,e<0?f:f.subarray(0,t.length),e),n.free(f)}else if("object"==typeof t&&"number"==typeof t.length)this.length=u(this.gl,this.type,this.length,this.usage,t,e);else{if("number"!=typeof t&&void 0!==t)throw new Error("gl-buffer: Invalid data type");if(e>=0)throw new Error("gl-buffer: Cannot specify offset when resizing buffer");(t|=0)<=0&&(t=1),this.gl.bufferData(this.type,0|t,this.usage),this.length=t}},t.exports=function(t,e,r,n){if(r=r||t.ARRAY_BUFFER,n=n||t.DYNAMIC_DRAW,r!==t.ARRAY_BUFFER&&r!==t.ELEMENT_ARRAY_BUFFER)throw new Error("gl-buffer: Invalid type for webgl buffer, must be either gl.ARRAY_BUFFER or gl.ELEMENT_ARRAY_BUFFER");if(n!==t.DYNAMIC_DRAW&&n!==t.STATIC_DRAW&&n!==t.STREAM_DRAW)throw new Error("gl-buffer: Invalid usage for buffer, must be either gl.DYNAMIC_DRAW, gl.STATIC_DRAW or gl.STREAM_DRAW");var i=t.createBuffer(),a=new s(t,r,i,0,n);return a.update(e),a}},1140:function(t,e,r){"use strict";var n=r(2858);t.exports=function(t,e){var r=t.positions,i=t.vectors,a={positions:[],vertexIntensity:[],vertexIntensityBounds:t.vertexIntensityBounds,vectors:[],cells:[],coneOffset:t.coneOffset,colormap:t.colormap};if(0===t.positions.length)return e&&(e[0]=[0,0,0],e[1]=[0,0,0]),a;for(var o=0,s=1/0,l=-1/0,u=1/0,c=-1/0,f=1/0,h=-1/0,p=null,d=null,v=[],g=1/0,y=!1,m=0;mo&&(o=n.length(b)),m){var _=2*n.distance(p,x)/(n.length(d)+n.length(b));_?(g=Math.min(g,_),y=!1):y=!0}y||(p=x,d=b),v.push(b)}var w=[s,u,f],T=[l,c,h];e&&(e[0]=w,e[1]=T),0===o&&(o=1);var k=1/o;isFinite(g)||(g=1),a.vectorScale=g;var A=t.coneSize||.5;t.absoluteConeSize&&(A=t.absoluteConeSize*k),a.coneScale=A,m=0;for(var M=0;m=1},p.isTransparent=function(){return this.opacity<1},p.pickSlots=1,p.setPickBase=function(t){this.pickId=t},p.update=function(t){t=t||{};var e=this.gl;this.dirty=!0,"lightPosition"in t&&(this.lightPosition=t.lightPosition),"opacity"in t&&(this.opacity=t.opacity),"ambient"in t&&(this.ambientLight=t.ambient),"diffuse"in t&&(this.diffuseLight=t.diffuse),"specular"in t&&(this.specularLight=t.specular),"roughness"in t&&(this.roughness=t.roughness),"fresnel"in t&&(this.fresnel=t.fresnel),void 0!==t.tubeScale&&(this.tubeScale=t.tubeScale),void 0!==t.vectorScale&&(this.vectorScale=t.vectorScale),void 0!==t.coneScale&&(this.coneScale=t.coneScale),void 0!==t.coneOffset&&(this.coneOffset=t.coneOffset),t.colormap&&(this.texture.shape=[256,256],this.texture.minFilter=e.LINEAR_MIPMAP_LINEAR,this.texture.magFilter=e.LINEAR,this.texture.setPixels(function(t){for(var e=c({colormap:t,nshades:256,format:"rgba"}),r=new Uint8Array(1024),n=0;n<256;++n){for(var i=e[n],a=0;a<3;++a)r[4*n+a]=i[a];r[4*n+3]=255*i[3]}return u(r,[256,256,4],[4,0,1])}(t.colormap)),this.texture.generateMipmap());var r=t.cells,n=t.positions,i=t.vectors;if(n&&r&&i){var a=[],o=[],s=[],l=[],f=[];this.cells=r,this.positions=n,this.vectors=i;var h=t.meshColor||[1,1,1,1],p=t.vertexIntensity,d=1/0,v=-1/0;if(p)if(t.vertexIntensityBounds)d=+t.vertexIntensityBounds[0],v=+t.vertexIntensityBounds[1];else for(var g=0;g0){var v=this.triShader;v.bind(),v.uniforms=u,this.triangleVAO.bind(),e.drawArrays(e.TRIANGLES,0,3*this.triangleCount),this.triangleVAO.unbind()}},p.drawPick=function(t){t=t||{};for(var e=this.gl,r=t.model||f,n=t.view||f,i=t.projection||f,a=[[-1e6,-1e6,-1e6],[1e6,1e6,1e6]],o=0;o<3;++o)a[0][o]=Math.max(a[0][o],this.clipBounds[0][o]),a[1][o]=Math.min(a[1][o],this.clipBounds[1][o]);this._model=[].slice.call(r),this._view=[].slice.call(n),this._projection=[].slice.call(i),this._resolution=[e.drawingBufferWidth,e.drawingBufferHeight];var s={model:r,view:n,projection:i,clipBounds:a,tubeScale:this.tubeScale,vectorScale:this.vectorScale,coneScale:this.coneScale,coneOffset:this.coneOffset,pickId:this.pickId/255},l=this.pickShader;l.bind(),l.uniforms=s,this.triangleCount>0&&(this.triangleVAO.bind(),e.drawArrays(e.TRIANGLES,0,3*this.triangleCount),this.triangleVAO.unbind())},p.pick=function(t){if(!t)return null;if(t.id!==this.pickId)return null;var e=t.value[0]+256*t.value[1]+65536*t.value[2],r=this.cells[e],n=this.positions[r[1]].slice(0,3),i={position:n,dataCoordinate:n,index:Math.floor(r[1]/48)};return"cone"===this.traceType?i.index=Math.floor(r[1]/48):"streamtube"===this.traceType&&(i.intensity=this.intensity[r[1]],i.velocity=this.vectors[r[1]].slice(0,3),i.divergence=this.vectors[r[1]][3],i.index=e),i},p.dispose=function(){this.texture.dispose(),this.triShader.dispose(),this.pickShader.dispose(),this.triangleVAO.dispose(),this.trianglePositions.dispose(),this.triangleVectors.dispose(),this.triangleColors.dispose(),this.triangleUVs.dispose(),this.triangleIds.dispose()},t.exports=function(t,e,r){var s=r.shaders;1===arguments.length&&(t=(e=t).gl);var l=function(t,e){var r=n(t,e.meshShader.vertex,e.meshShader.fragment,null,e.meshShader.attributes);return r.attributes.position.location=0,r.attributes.color.location=2,r.attributes.uv.location=3,r.attributes.vector.location=4,r}(t,s),c=function(t,e){var r=n(t,e.pickShader.vertex,e.pickShader.fragment,null,e.pickShader.attributes);return r.attributes.position.location=0,r.attributes.id.location=1,r.attributes.vector.location=4,r}(t,s),f=o(t,u(new Uint8Array([255,255,255,255]),[1,1,4]));f.generateMipmap(),f.minFilter=t.LINEAR_MIPMAP_LINEAR,f.magFilter=t.LINEAR;var p=i(t),d=i(t),v=i(t),g=i(t),y=i(t),m=new h(t,f,l,c,p,d,y,v,g,a(t,[{buffer:p,type:t.FLOAT,size:4},{buffer:y,type:t.UNSIGNED_BYTE,size:4,normalized:!0},{buffer:v,type:t.FLOAT,size:4},{buffer:g,type:t.FLOAT,size:2},{buffer:d,type:t.FLOAT,size:4}]),r.traceType||"cone");return m.update(e),m}},7234:function(t,e,r){var n=r(6832),i=n(["precision highp float;\n\nprecision highp float;\n#define GLSLIFY 1\n\nvec3 getOrthogonalVector(vec3 v) {\n // Return up-vector for only-z vector.\n // Return ax + by + cz = 0, a point that lies on the plane that has v as a normal and that isn't (0,0,0).\n // From the above if-statement we have ||a|| > 0 U ||b|| > 0.\n // Assign z = 0, x = -b, y = a:\n // a*-b + b*a + c*0 = -ba + ba + 0 = 0\n if (v.x*v.x > v.z*v.z || v.y*v.y > v.z*v.z) {\n return normalize(vec3(-v.y, v.x, 0.0));\n } else {\n return normalize(vec3(0.0, v.z, -v.y));\n }\n}\n\n// Calculate the cone vertex and normal at the given index.\n//\n// The returned vertex is for a cone with its top at origin and height of 1.0,\n// pointing in the direction of the vector attribute.\n//\n// Each cone is made up of a top vertex, a center base vertex and base perimeter vertices.\n// These vertices are used to make up the triangles of the cone by the following:\n// segment + 0 top vertex\n// segment + 1 perimeter vertex a+1\n// segment + 2 perimeter vertex a\n// segment + 3 center base vertex\n// segment + 4 perimeter vertex a\n// segment + 5 perimeter vertex a+1\n// Where segment is the number of the radial segment * 6 and a is the angle at that radial segment.\n// To go from index to segment, floor(index / 6)\n// To go from segment to angle, 2*pi * (segment/segmentCount)\n// To go from index to segment index, index - (segment*6)\n//\nvec3 getConePosition(vec3 d, float rawIndex, float coneOffset, out vec3 normal) {\n\n const float segmentCount = 8.0;\n\n float index = rawIndex - floor(rawIndex /\n (segmentCount * 6.0)) *\n (segmentCount * 6.0);\n\n float segment = floor(0.001 + index/6.0);\n float segmentIndex = index - (segment*6.0);\n\n normal = -normalize(d);\n\n if (segmentIndex > 2.99 && segmentIndex < 3.01) {\n return mix(vec3(0.0), -d, coneOffset);\n }\n\n float nextAngle = (\n (segmentIndex > 0.99 && segmentIndex < 1.01) ||\n (segmentIndex > 4.99 && segmentIndex < 5.01)\n ) ? 1.0 : 0.0;\n float angle = 2.0 * 3.14159 * ((segment + nextAngle) / segmentCount);\n\n vec3 v1 = mix(d, vec3(0.0), coneOffset);\n vec3 v2 = v1 - d;\n\n vec3 u = getOrthogonalVector(d);\n vec3 v = normalize(cross(u, d));\n\n vec3 x = u * cos(angle) * length(d)*0.25;\n vec3 y = v * sin(angle) * length(d)*0.25;\n vec3 v3 = v2 + x + y;\n if (segmentIndex < 3.0) {\n vec3 tx = u * sin(angle);\n vec3 ty = v * -cos(angle);\n vec3 tangent = tx + ty;\n normal = normalize(cross(v3 - v1, tangent));\n }\n\n if (segmentIndex == 0.0) {\n return mix(d, vec3(0.0), coneOffset);\n }\n return v3;\n}\n\nattribute vec3 vector;\nattribute vec4 color, position;\nattribute vec2 uv;\n\nuniform float vectorScale, coneScale, coneOffset;\nuniform mat4 model, view, projection, inverseModel;\nuniform vec3 eyePosition, lightPosition;\n\nvarying vec3 f_normal, f_lightDirection, f_eyeDirection, f_data, f_position;\nvarying vec4 f_color;\nvarying vec2 f_uv;\n\nvoid main() {\n // Scale the vector magnitude to stay constant with\n // model & view changes.\n vec3 normal;\n vec3 XYZ = getConePosition(mat3(model) * ((vectorScale * coneScale) * vector), position.w, coneOffset, normal);\n vec4 conePosition = model * vec4(position.xyz, 1.0) + vec4(XYZ, 0.0);\n\n //Lighting geometry parameters\n vec4 cameraCoordinate = view * conePosition;\n cameraCoordinate.xyz /= cameraCoordinate.w;\n f_lightDirection = lightPosition - cameraCoordinate.xyz;\n f_eyeDirection = eyePosition - cameraCoordinate.xyz;\n f_normal = normalize((vec4(normal, 0.0) * inverseModel).xyz);\n\n // vec4 m_position = model * vec4(conePosition, 1.0);\n vec4 t_position = view * conePosition;\n gl_Position = projection * t_position;\n\n f_color = color;\n f_data = conePosition.xyz;\n f_position = position.xyz;\n f_uv = uv;\n}\n"]),a=n(["#extension GL_OES_standard_derivatives : enable\n\nprecision highp float;\n#define GLSLIFY 1\n\nfloat beckmannDistribution(float x, float roughness) {\n float NdotH = max(x, 0.0001);\n float cos2Alpha = NdotH * NdotH;\n float tan2Alpha = (cos2Alpha - 1.0) / cos2Alpha;\n float roughness2 = roughness * roughness;\n float denom = 3.141592653589793 * roughness2 * cos2Alpha * cos2Alpha;\n return exp(tan2Alpha / roughness2) / denom;\n}\n\nfloat cookTorranceSpecular(\n vec3 lightDirection,\n vec3 viewDirection,\n vec3 surfaceNormal,\n float roughness,\n float fresnel) {\n\n float VdotN = max(dot(viewDirection, surfaceNormal), 0.0);\n float LdotN = max(dot(lightDirection, surfaceNormal), 0.0);\n\n //Half angle vector\n vec3 H = normalize(lightDirection + viewDirection);\n\n //Geometric term\n float NdotH = max(dot(surfaceNormal, H), 0.0);\n float VdotH = max(dot(viewDirection, H), 0.000001);\n float LdotH = max(dot(lightDirection, H), 0.000001);\n float G1 = (2.0 * NdotH * VdotN) / VdotH;\n float G2 = (2.0 * NdotH * LdotN) / LdotH;\n float G = min(1.0, min(G1, G2));\n \n //Distribution term\n float D = beckmannDistribution(NdotH, roughness);\n\n //Fresnel term\n float F = pow(1.0 - VdotN, fresnel);\n\n //Multiply terms and done\n return G * F * D / max(3.14159265 * VdotN, 0.000001);\n}\n\nbool outOfRange(float a, float b, float p) {\n return ((p > max(a, b)) || \n (p < min(a, b)));\n}\n\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\n return (outOfRange(a.x, b.x, p.x) ||\n outOfRange(a.y, b.y, p.y));\n}\n\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\n return (outOfRange(a.x, b.x, p.x) ||\n outOfRange(a.y, b.y, p.y) ||\n outOfRange(a.z, b.z, p.z));\n}\n\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\n return outOfRange(a.xyz, b.xyz, p.xyz);\n}\n\nuniform vec3 clipBounds[2];\nuniform float roughness, fresnel, kambient, kdiffuse, kspecular, opacity;\nuniform sampler2D texture;\n\nvarying vec3 f_normal, f_lightDirection, f_eyeDirection, f_data, f_position;\nvarying vec4 f_color;\nvarying vec2 f_uv;\n\nvoid main() {\n if (outOfRange(clipBounds[0], clipBounds[1], f_position)) discard;\n vec3 N = normalize(f_normal);\n vec3 L = normalize(f_lightDirection);\n vec3 V = normalize(f_eyeDirection);\n\n if(gl_FrontFacing) {\n N = -N;\n }\n\n float specular = min(1.0, max(0.0, cookTorranceSpecular(L, V, N, roughness, fresnel)));\n float diffuse = min(kambient + kdiffuse * max(dot(N, L), 0.0), 1.0);\n\n vec4 surfaceColor = f_color * texture2D(texture, f_uv);\n vec4 litColor = surfaceColor.a * vec4(diffuse * surfaceColor.rgb + kspecular * vec3(1,1,1) * specular, 1.0);\n\n gl_FragColor = litColor * opacity;\n}\n"]),o=n(["precision highp float;\n\nprecision highp float;\n#define GLSLIFY 1\n\nvec3 getOrthogonalVector(vec3 v) {\n // Return up-vector for only-z vector.\n // Return ax + by + cz = 0, a point that lies on the plane that has v as a normal and that isn't (0,0,0).\n // From the above if-statement we have ||a|| > 0 U ||b|| > 0.\n // Assign z = 0, x = -b, y = a:\n // a*-b + b*a + c*0 = -ba + ba + 0 = 0\n if (v.x*v.x > v.z*v.z || v.y*v.y > v.z*v.z) {\n return normalize(vec3(-v.y, v.x, 0.0));\n } else {\n return normalize(vec3(0.0, v.z, -v.y));\n }\n}\n\n// Calculate the cone vertex and normal at the given index.\n//\n// The returned vertex is for a cone with its top at origin and height of 1.0,\n// pointing in the direction of the vector attribute.\n//\n// Each cone is made up of a top vertex, a center base vertex and base perimeter vertices.\n// These vertices are used to make up the triangles of the cone by the following:\n// segment + 0 top vertex\n// segment + 1 perimeter vertex a+1\n// segment + 2 perimeter vertex a\n// segment + 3 center base vertex\n// segment + 4 perimeter vertex a\n// segment + 5 perimeter vertex a+1\n// Where segment is the number of the radial segment * 6 and a is the angle at that radial segment.\n// To go from index to segment, floor(index / 6)\n// To go from segment to angle, 2*pi * (segment/segmentCount)\n// To go from index to segment index, index - (segment*6)\n//\nvec3 getConePosition(vec3 d, float rawIndex, float coneOffset, out vec3 normal) {\n\n const float segmentCount = 8.0;\n\n float index = rawIndex - floor(rawIndex /\n (segmentCount * 6.0)) *\n (segmentCount * 6.0);\n\n float segment = floor(0.001 + index/6.0);\n float segmentIndex = index - (segment*6.0);\n\n normal = -normalize(d);\n\n if (segmentIndex > 2.99 && segmentIndex < 3.01) {\n return mix(vec3(0.0), -d, coneOffset);\n }\n\n float nextAngle = (\n (segmentIndex > 0.99 && segmentIndex < 1.01) ||\n (segmentIndex > 4.99 && segmentIndex < 5.01)\n ) ? 1.0 : 0.0;\n float angle = 2.0 * 3.14159 * ((segment + nextAngle) / segmentCount);\n\n vec3 v1 = mix(d, vec3(0.0), coneOffset);\n vec3 v2 = v1 - d;\n\n vec3 u = getOrthogonalVector(d);\n vec3 v = normalize(cross(u, d));\n\n vec3 x = u * cos(angle) * length(d)*0.25;\n vec3 y = v * sin(angle) * length(d)*0.25;\n vec3 v3 = v2 + x + y;\n if (segmentIndex < 3.0) {\n vec3 tx = u * sin(angle);\n vec3 ty = v * -cos(angle);\n vec3 tangent = tx + ty;\n normal = normalize(cross(v3 - v1, tangent));\n }\n\n if (segmentIndex == 0.0) {\n return mix(d, vec3(0.0), coneOffset);\n }\n return v3;\n}\n\nattribute vec4 vector;\nattribute vec4 position;\nattribute vec4 id;\n\nuniform mat4 model, view, projection;\nuniform float vectorScale, coneScale, coneOffset;\n\nvarying vec3 f_position;\nvarying vec4 f_id;\n\nvoid main() {\n vec3 normal;\n vec3 XYZ = getConePosition(mat3(model) * ((vectorScale * coneScale) * vector.xyz), position.w, coneOffset, normal);\n vec4 conePosition = model * vec4(position.xyz, 1.0) + vec4(XYZ, 0.0);\n gl_Position = projection * view * conePosition;\n f_id = id;\n f_position = position.xyz;\n}\n"]),s=n(["precision highp float;\n#define GLSLIFY 1\n\nbool outOfRange(float a, float b, float p) {\n return ((p > max(a, b)) || \n (p < min(a, b)));\n}\n\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\n return (outOfRange(a.x, b.x, p.x) ||\n outOfRange(a.y, b.y, p.y));\n}\n\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\n return (outOfRange(a.x, b.x, p.x) ||\n outOfRange(a.y, b.y, p.y) ||\n outOfRange(a.z, b.z, p.z));\n}\n\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\n return outOfRange(a.xyz, b.xyz, p.xyz);\n}\n\nuniform vec3 clipBounds[2];\nuniform float pickId;\n\nvarying vec3 f_position;\nvarying vec4 f_id;\n\nvoid main() {\n if (outOfRange(clipBounds[0], clipBounds[1], f_position)) discard;\n\n gl_FragColor = vec4(pickId, f_id.xyz);\n}"]);e.meshShader={vertex:i,fragment:a,attributes:[{name:"position",type:"vec4"},{name:"color",type:"vec4"},{name:"uv",type:"vec2"},{name:"vector",type:"vec3"}]},e.pickShader={vertex:o,fragment:s,attributes:[{name:"position",type:"vec4"},{name:"id",type:"vec4"},{name:"vector",type:"vec3"}]}},1950:function(t){t.exports={0:"NONE",1:"ONE",2:"LINE_LOOP",3:"LINE_STRIP",4:"TRIANGLES",5:"TRIANGLE_STRIP",6:"TRIANGLE_FAN",256:"DEPTH_BUFFER_BIT",512:"NEVER",513:"LESS",514:"EQUAL",515:"LEQUAL",516:"GREATER",517:"NOTEQUAL",518:"GEQUAL",519:"ALWAYS",768:"SRC_COLOR",769:"ONE_MINUS_SRC_COLOR",770:"SRC_ALPHA",771:"ONE_MINUS_SRC_ALPHA",772:"DST_ALPHA",773:"ONE_MINUS_DST_ALPHA",774:"DST_COLOR",775:"ONE_MINUS_DST_COLOR",776:"SRC_ALPHA_SATURATE",1024:"STENCIL_BUFFER_BIT",1028:"FRONT",1029:"BACK",1032:"FRONT_AND_BACK",1280:"INVALID_ENUM",1281:"INVALID_VALUE",1282:"INVALID_OPERATION",1285:"OUT_OF_MEMORY",1286:"INVALID_FRAMEBUFFER_OPERATION",2304:"CW",2305:"CCW",2849:"LINE_WIDTH",2884:"CULL_FACE",2885:"CULL_FACE_MODE",2886:"FRONT_FACE",2928:"DEPTH_RANGE",2929:"DEPTH_TEST",2930:"DEPTH_WRITEMASK",2931:"DEPTH_CLEAR_VALUE",2932:"DEPTH_FUNC",2960:"STENCIL_TEST",2961:"STENCIL_CLEAR_VALUE",2962:"STENCIL_FUNC",2963:"STENCIL_VALUE_MASK",2964:"STENCIL_FAIL",2965:"STENCIL_PASS_DEPTH_FAIL",2966:"STENCIL_PASS_DEPTH_PASS",2967:"STENCIL_REF",2968:"STENCIL_WRITEMASK",2978:"VIEWPORT",3024:"DITHER",3042:"BLEND",3088:"SCISSOR_BOX",3089:"SCISSOR_TEST",3106:"COLOR_CLEAR_VALUE",3107:"COLOR_WRITEMASK",3317:"UNPACK_ALIGNMENT",3333:"PACK_ALIGNMENT",3379:"MAX_TEXTURE_SIZE",3386:"MAX_VIEWPORT_DIMS",3408:"SUBPIXEL_BITS",3410:"RED_BITS",3411:"GREEN_BITS",3412:"BLUE_BITS",3413:"ALPHA_BITS",3414:"DEPTH_BITS",3415:"STENCIL_BITS",3553:"TEXTURE_2D",4352:"DONT_CARE",4353:"FASTEST",4354:"NICEST",5120:"BYTE",5121:"UNSIGNED_BYTE",5122:"SHORT",5123:"UNSIGNED_SHORT",5124:"INT",5125:"UNSIGNED_INT",5126:"FLOAT",5386:"INVERT",5890:"TEXTURE",6401:"STENCIL_INDEX",6402:"DEPTH_COMPONENT",6406:"ALPHA",6407:"RGB",6408:"RGBA",6409:"LUMINANCE",6410:"LUMINANCE_ALPHA",7680:"KEEP",7681:"REPLACE",7682:"INCR",7683:"DECR",7936:"VENDOR",7937:"RENDERER",7938:"VERSION",9728:"NEAREST",9729:"LINEAR",9984:"NEAREST_MIPMAP_NEAREST",9985:"LINEAR_MIPMAP_NEAREST",9986:"NEAREST_MIPMAP_LINEAR",9987:"LINEAR_MIPMAP_LINEAR",10240:"TEXTURE_MAG_FILTER",10241:"TEXTURE_MIN_FILTER",10242:"TEXTURE_WRAP_S",10243:"TEXTURE_WRAP_T",10497:"REPEAT",10752:"POLYGON_OFFSET_UNITS",16384:"COLOR_BUFFER_BIT",32769:"CONSTANT_COLOR",32770:"ONE_MINUS_CONSTANT_COLOR",32771:"CONSTANT_ALPHA",32772:"ONE_MINUS_CONSTANT_ALPHA",32773:"BLEND_COLOR",32774:"FUNC_ADD",32777:"BLEND_EQUATION_RGB",32778:"FUNC_SUBTRACT",32779:"FUNC_REVERSE_SUBTRACT",32819:"UNSIGNED_SHORT_4_4_4_4",32820:"UNSIGNED_SHORT_5_5_5_1",32823:"POLYGON_OFFSET_FILL",32824:"POLYGON_OFFSET_FACTOR",32854:"RGBA4",32855:"RGB5_A1",32873:"TEXTURE_BINDING_2D",32926:"SAMPLE_ALPHA_TO_COVERAGE",32928:"SAMPLE_COVERAGE",32936:"SAMPLE_BUFFERS",32937:"SAMPLES",32938:"SAMPLE_COVERAGE_VALUE",32939:"SAMPLE_COVERAGE_INVERT",32968:"BLEND_DST_RGB",32969:"BLEND_SRC_RGB",32970:"BLEND_DST_ALPHA",32971:"BLEND_SRC_ALPHA",33071:"CLAMP_TO_EDGE",33170:"GENERATE_MIPMAP_HINT",33189:"DEPTH_COMPONENT16",33306:"DEPTH_STENCIL_ATTACHMENT",33635:"UNSIGNED_SHORT_5_6_5",33648:"MIRRORED_REPEAT",33901:"ALIASED_POINT_SIZE_RANGE",33902:"ALIASED_LINE_WIDTH_RANGE",33984:"TEXTURE0",33985:"TEXTURE1",33986:"TEXTURE2",33987:"TEXTURE3",33988:"TEXTURE4",33989:"TEXTURE5",33990:"TEXTURE6",33991:"TEXTURE7",33992:"TEXTURE8",33993:"TEXTURE9",33994:"TEXTURE10",33995:"TEXTURE11",33996:"TEXTURE12",33997:"TEXTURE13",33998:"TEXTURE14",33999:"TEXTURE15",34e3:"TEXTURE16",34001:"TEXTURE17",34002:"TEXTURE18",34003:"TEXTURE19",34004:"TEXTURE20",34005:"TEXTURE21",34006:"TEXTURE22",34007:"TEXTURE23",34008:"TEXTURE24",34009:"TEXTURE25",34010:"TEXTURE26",34011:"TEXTURE27",34012:"TEXTURE28",34013:"TEXTURE29",34014:"TEXTURE30",34015:"TEXTURE31",34016:"ACTIVE_TEXTURE",34024:"MAX_RENDERBUFFER_SIZE",34041:"DEPTH_STENCIL",34055:"INCR_WRAP",34056:"DECR_WRAP",34067:"TEXTURE_CUBE_MAP",34068:"TEXTURE_BINDING_CUBE_MAP",34069:"TEXTURE_CUBE_MAP_POSITIVE_X",34070:"TEXTURE_CUBE_MAP_NEGATIVE_X",34071:"TEXTURE_CUBE_MAP_POSITIVE_Y",34072:"TEXTURE_CUBE_MAP_NEGATIVE_Y",34073:"TEXTURE_CUBE_MAP_POSITIVE_Z",34074:"TEXTURE_CUBE_MAP_NEGATIVE_Z",34076:"MAX_CUBE_MAP_TEXTURE_SIZE",34338:"VERTEX_ATTRIB_ARRAY_ENABLED",34339:"VERTEX_ATTRIB_ARRAY_SIZE",34340:"VERTEX_ATTRIB_ARRAY_STRIDE",34341:"VERTEX_ATTRIB_ARRAY_TYPE",34342:"CURRENT_VERTEX_ATTRIB",34373:"VERTEX_ATTRIB_ARRAY_POINTER",34466:"NUM_COMPRESSED_TEXTURE_FORMATS",34467:"COMPRESSED_TEXTURE_FORMATS",34660:"BUFFER_SIZE",34661:"BUFFER_USAGE",34816:"STENCIL_BACK_FUNC",34817:"STENCIL_BACK_FAIL",34818:"STENCIL_BACK_PASS_DEPTH_FAIL",34819:"STENCIL_BACK_PASS_DEPTH_PASS",34877:"BLEND_EQUATION_ALPHA",34921:"MAX_VERTEX_ATTRIBS",34922:"VERTEX_ATTRIB_ARRAY_NORMALIZED",34930:"MAX_TEXTURE_IMAGE_UNITS",34962:"ARRAY_BUFFER",34963:"ELEMENT_ARRAY_BUFFER",34964:"ARRAY_BUFFER_BINDING",34965:"ELEMENT_ARRAY_BUFFER_BINDING",34975:"VERTEX_ATTRIB_ARRAY_BUFFER_BINDING",35040:"STREAM_DRAW",35044:"STATIC_DRAW",35048:"DYNAMIC_DRAW",35632:"FRAGMENT_SHADER",35633:"VERTEX_SHADER",35660:"MAX_VERTEX_TEXTURE_IMAGE_UNITS",35661:"MAX_COMBINED_TEXTURE_IMAGE_UNITS",35663:"SHADER_TYPE",35664:"FLOAT_VEC2",35665:"FLOAT_VEC3",35666:"FLOAT_VEC4",35667:"INT_VEC2",35668:"INT_VEC3",35669:"INT_VEC4",35670:"BOOL",35671:"BOOL_VEC2",35672:"BOOL_VEC3",35673:"BOOL_VEC4",35674:"FLOAT_MAT2",35675:"FLOAT_MAT3",35676:"FLOAT_MAT4",35678:"SAMPLER_2D",35680:"SAMPLER_CUBE",35712:"DELETE_STATUS",35713:"COMPILE_STATUS",35714:"LINK_STATUS",35715:"VALIDATE_STATUS",35716:"INFO_LOG_LENGTH",35717:"ATTACHED_SHADERS",35718:"ACTIVE_UNIFORMS",35719:"ACTIVE_UNIFORM_MAX_LENGTH",35720:"SHADER_SOURCE_LENGTH",35721:"ACTIVE_ATTRIBUTES",35722:"ACTIVE_ATTRIBUTE_MAX_LENGTH",35724:"SHADING_LANGUAGE_VERSION",35725:"CURRENT_PROGRAM",36003:"STENCIL_BACK_REF",36004:"STENCIL_BACK_VALUE_MASK",36005:"STENCIL_BACK_WRITEMASK",36006:"FRAMEBUFFER_BINDING",36007:"RENDERBUFFER_BINDING",36048:"FRAMEBUFFER_ATTACHMENT_OBJECT_TYPE",36049:"FRAMEBUFFER_ATTACHMENT_OBJECT_NAME",36050:"FRAMEBUFFER_ATTACHMENT_TEXTURE_LEVEL",36051:"FRAMEBUFFER_ATTACHMENT_TEXTURE_CUBE_MAP_FACE",36053:"FRAMEBUFFER_COMPLETE",36054:"FRAMEBUFFER_INCOMPLETE_ATTACHMENT",36055:"FRAMEBUFFER_INCOMPLETE_MISSING_ATTACHMENT",36057:"FRAMEBUFFER_INCOMPLETE_DIMENSIONS",36061:"FRAMEBUFFER_UNSUPPORTED",36064:"COLOR_ATTACHMENT0",36096:"DEPTH_ATTACHMENT",36128:"STENCIL_ATTACHMENT",36160:"FRAMEBUFFER",36161:"RENDERBUFFER",36162:"RENDERBUFFER_WIDTH",36163:"RENDERBUFFER_HEIGHT",36164:"RENDERBUFFER_INTERNAL_FORMAT",36168:"STENCIL_INDEX8",36176:"RENDERBUFFER_RED_SIZE",36177:"RENDERBUFFER_GREEN_SIZE",36178:"RENDERBUFFER_BLUE_SIZE",36179:"RENDERBUFFER_ALPHA_SIZE",36180:"RENDERBUFFER_DEPTH_SIZE",36181:"RENDERBUFFER_STENCIL_SIZE",36194:"RGB565",36336:"LOW_FLOAT",36337:"MEDIUM_FLOAT",36338:"HIGH_FLOAT",36339:"LOW_INT",36340:"MEDIUM_INT",36341:"HIGH_INT",36346:"SHADER_COMPILER",36347:"MAX_VERTEX_UNIFORM_VECTORS",36348:"MAX_VARYING_VECTORS",36349:"MAX_FRAGMENT_UNIFORM_VECTORS",37440:"UNPACK_FLIP_Y_WEBGL",37441:"UNPACK_PREMULTIPLY_ALPHA_WEBGL",37442:"CONTEXT_LOST_WEBGL",37443:"UNPACK_COLORSPACE_CONVERSION_WEBGL",37444:"BROWSER_DEFAULT_WEBGL"}},6603:function(t,e,r){var n=r(1950);t.exports=function(t){return n[t]}},3110:function(t,e,r){"use strict";t.exports=function(t){var e=t.gl,r=n(e),o=i(e,[{buffer:r,type:e.FLOAT,size:3,offset:0,stride:40},{buffer:r,type:e.FLOAT,size:4,offset:12,stride:40},{buffer:r,type:e.FLOAT,size:3,offset:28,stride:40}]),l=a(e);l.attributes.position.location=0,l.attributes.color.location=1,l.attributes.offset.location=2;var u=new s(e,r,o,l);return u.update(t),u};var n=r(5827),i=r(2944),a=r(7667),o=[1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1];function s(t,e,r,n){this.gl=t,this.shader=n,this.buffer=e,this.vao=r,this.pixelRatio=1,this.bounds=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]],this.clipBounds=[[-1/0,-1/0,-1/0],[1/0,1/0,1/0]],this.lineWidth=[1,1,1],this.capSize=[10,10,10],this.lineCount=[0,0,0],this.lineOffset=[0,0,0],this.opacity=1,this.hasAlpha=!1}var l=s.prototype;function u(t,e){for(var r=0;r<3;++r)t[0][r]=Math.min(t[0][r],e[r]),t[1][r]=Math.max(t[1][r],e[r])}l.isOpaque=function(){return!this.hasAlpha},l.isTransparent=function(){return this.hasAlpha},l.drawTransparent=l.draw=function(t){var e=this.gl,r=this.shader.uniforms;this.shader.bind();var n=r.view=t.view||o,i=r.projection=t.projection||o;r.model=t.model||o,r.clipBounds=this.clipBounds,r.opacity=this.opacity;var a=n[12],s=n[13],l=n[14],u=n[15],c=(t._ortho?2:1)*this.pixelRatio*(i[3]*a+i[7]*s+i[11]*l+i[15]*u)/e.drawingBufferHeight;this.vao.bind();for(var f=0;f<3;++f)e.lineWidth(this.lineWidth[f]*this.pixelRatio),r.capSize=this.capSize[f]*c,this.lineCount[f]&&e.drawArrays(e.LINES,this.lineOffset[f],this.lineCount[f]);this.vao.unbind()};var c=function(){for(var t=new Array(3),e=0;e<3;++e){for(var r=[],n=1;n<=2;++n)for(var i=-1;i<=1;i+=2){var a=[0,0,0];a[(n+e)%3]=i,r.push(a)}t[e]=r}return t}();function f(t,e,r,n){for(var i=c[n],a=0;a0&&((p=c.slice())[s]+=d[1][s],i.push(c[0],c[1],c[2],v[0],v[1],v[2],v[3],0,0,0,p[0],p[1],p[2],v[0],v[1],v[2],v[3],0,0,0),u(this.bounds,p),o+=2+f(i,p,v,s)))}this.lineCount[s]=o-this.lineOffset[s]}this.buffer.update(i)}},l.dispose=function(){this.shader.dispose(),this.buffer.dispose(),this.vao.dispose()}},7667:function(t,e,r){"use strict";var n=r(6832),i=r(5158),a=n(["precision highp float;\n#define GLSLIFY 1\n\nattribute vec3 position, offset;\nattribute vec4 color;\nuniform mat4 model, view, projection;\nuniform float capSize;\nvarying vec4 fragColor;\nvarying vec3 fragPosition;\n\nvoid main() {\n vec4 worldPosition = model * vec4(position, 1.0);\n worldPosition = (worldPosition / worldPosition.w) + vec4(capSize * offset, 0.0);\n gl_Position = projection * view * worldPosition;\n fragColor = color;\n fragPosition = position;\n}"]),o=n(["precision highp float;\n#define GLSLIFY 1\n\nbool outOfRange(float a, float b, float p) {\n return ((p > max(a, b)) || \n (p < min(a, b)));\n}\n\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\n return (outOfRange(a.x, b.x, p.x) ||\n outOfRange(a.y, b.y, p.y));\n}\n\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\n return (outOfRange(a.x, b.x, p.x) ||\n outOfRange(a.y, b.y, p.y) ||\n outOfRange(a.z, b.z, p.z));\n}\n\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\n return outOfRange(a.xyz, b.xyz, p.xyz);\n}\n\nuniform vec3 clipBounds[2];\nuniform float opacity;\nvarying vec3 fragPosition;\nvarying vec4 fragColor;\n\nvoid main() {\n if (\n outOfRange(clipBounds[0], clipBounds[1], fragPosition) ||\n fragColor.a * opacity == 0.\n ) discard;\n\n gl_FragColor = opacity * fragColor;\n}"]);t.exports=function(t){return i(t,a,o,null,[{name:"position",type:"vec3"},{name:"color",type:"vec4"},{name:"offset",type:"vec3"}])}},4234:function(t,e,r){"use strict";var n=r(8931);t.exports=function(t,e,r,n){i||(i=t.FRAMEBUFFER_UNSUPPORTED,a=t.FRAMEBUFFER_INCOMPLETE_ATTACHMENT,o=t.FRAMEBUFFER_INCOMPLETE_DIMENSIONS,s=t.FRAMEBUFFER_INCOMPLETE_MISSING_ATTACHMENT);var u=t.getExtension("WEBGL_draw_buffers");if(!l&&u&&function(t,e){var r=t.getParameter(e.MAX_COLOR_ATTACHMENTS_WEBGL);l=new Array(r+1);for(var n=0;n<=r;++n){for(var i=new Array(r),a=0;ac||r<0||r>c)throw new Error("gl-fbo: Parameters are too large for FBO");var f=1;if("color"in(n=n||{})){if((f=Math.max(0|n.color,0))<0)throw new Error("gl-fbo: Must specify a nonnegative number of colors");if(f>1){if(!u)throw new Error("gl-fbo: Multiple draw buffer extension not supported");if(f>t.getParameter(u.MAX_COLOR_ATTACHMENTS_WEBGL))throw new Error("gl-fbo: Context does not support "+f+" draw buffers")}}var h=t.UNSIGNED_BYTE,p=t.getExtension("OES_texture_float");if(n.float&&f>0){if(!p)throw new Error("gl-fbo: Context does not support floating point textures");h=t.FLOAT}else n.preferFloat&&f>0&&p&&(h=t.FLOAT);var v=!0;"depth"in n&&(v=!!n.depth);var g=!1;return"stencil"in n&&(g=!!n.stencil),new d(t,e,r,h,f,v,g,u)};var i,a,o,s,l=null;function u(t){return[t.getParameter(t.FRAMEBUFFER_BINDING),t.getParameter(t.RENDERBUFFER_BINDING),t.getParameter(t.TEXTURE_BINDING_2D)]}function c(t,e){t.bindFramebuffer(t.FRAMEBUFFER,e[0]),t.bindRenderbuffer(t.RENDERBUFFER,e[1]),t.bindTexture(t.TEXTURE_2D,e[2])}function f(t){switch(t){case i:throw new Error("gl-fbo: Framebuffer unsupported");case a:throw new Error("gl-fbo: Framebuffer incomplete attachment");case o:throw new Error("gl-fbo: Framebuffer incomplete dimensions");case s:throw new Error("gl-fbo: Framebuffer incomplete missing attachment");default:throw new Error("gl-fbo: Framebuffer failed for unspecified reason")}}function h(t,e,r,i,a,o){if(!i)return null;var s=n(t,e,r,a,i);return 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x=r.checkFramebufferStatus(r.FRAMEBUFFER);if(x!==r.FRAMEBUFFER_COMPLETE){for(t._destroyed=!0,r.bindFramebuffer(r.FRAMEBUFFER,null),r.deleteFramebuffer(t.handle),t.handle=null,t.depth&&(t.depth.dispose(),t.depth=null),t._depth_rb&&(r.deleteRenderbuffer(t._depth_rb),t._depth_rb=null),y=0;yi||r<0||r>i)throw new Error("gl-fbo: Can't resize FBO, invalid dimensions");t._shape[0]=e,t._shape[1]=r;for(var a=u(n),o=0;o>8*p&255;this.pickOffset=r,i.bind();var d=i.uniforms;d.viewTransform=t,d.pickOffset=e,d.shape=this.shape;var v=i.attributes;return this.positionBuffer.bind(),v.position.pointer(),this.weightBuffer.bind(),v.weight.pointer(s.UNSIGNED_BYTE,!1),this.idBuffer.bind(),v.pickId.pointer(s.UNSIGNED_BYTE,!1),s.drawArrays(s.TRIANGLES,0,o),r+this.shape[0]*this.shape[1]}}}(),f.pick=function(t,e,r){var n=this.pickOffset,i=this.shape[0]*this.shape[1];if(r=n+i)return null;var a=r-n,o=this.xData,s=this.yData;return{object:this,pointId:a,dataCoord:[o[a%this.shape[0]],s[a/this.shape[0]|0]]}},f.update=function(t){var e=(t=t||{}).shape||[0,0],r=t.x||i(e[0]),o=t.y||i(e[1]),s=t.z||new Float32Array(e[0]*e[1]),l=!1!==t.zsmooth;this.xData=r,this.yData=o;var u,c,f,p,d=t.colorLevels||[0],v=t.colorValues||[0,0,0,1],g=d.length,y=this.bounds;l?(u=y[0]=r[0],c=y[1]=o[0],f=y[2]=r[r.length-1],p=y[3]=o[o.length-1]):(u=y[0]=r[0]+(r[1]-r[0])/2,c=y[1]=o[0]+(o[1]-o[0])/2,f=y[2]=r[r.length-1]+(r[r.length-1]-r[r.length-2])/2,p=y[3]=o[o.length-1]+(o[o.length-1]-o[o.length-2])/2);var m=1/(f-u),x=1/(p-c),b=e[0],_=e[1];this.shape=[b,_];var w=(l?(b-1)*(_-1):b*_)*(h.length>>>1);this.numVertices=w;for(var T=a.mallocUint8(4*w),k=a.mallocFloat32(2*w),A=a.mallocUint8(2*w),M=a.mallocUint32(w),S=0,E=l?b-1:b,L=l?_-1:_,C=0;C max(a, b)) || \n (p < min(a, b)));\n}\n\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\n return (outOfRange(a.x, b.x, p.x) ||\n outOfRange(a.y, b.y, p.y));\n}\n\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\n return (outOfRange(a.x, b.x, p.x) ||\n outOfRange(a.y, b.y, p.y) ||\n outOfRange(a.z, b.z, p.z));\n}\n\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\n return outOfRange(a.xyz, b.xyz, p.xyz);\n}\n\nuniform vec3 clipBounds[2];\nuniform sampler2D dashTexture;\nuniform float dashScale;\nuniform float opacity;\n\nvarying vec3 worldPosition;\nvarying float pixelArcLength;\nvarying vec4 fragColor;\n\nvoid main() {\n if (\n outOfRange(clipBounds[0], clipBounds[1], worldPosition) ||\n fragColor.a * opacity == 0.\n ) discard;\n\n float dashWeight = texture2D(dashTexture, vec2(dashScale * pixelArcLength, 0)).r;\n if(dashWeight < 0.5) {\n discard;\n }\n gl_FragColor = fragColor * opacity;\n}\n"]),s=n(["precision highp float;\n#define GLSLIFY 1\n\n#define FLOAT_MAX 1.70141184e38\n#define FLOAT_MIN 1.17549435e-38\n\n// https://github.com/mikolalysenko/glsl-read-float/blob/master/index.glsl\nvec4 packFloat(float v) {\n float av = abs(v);\n\n //Handle special cases\n if(av < FLOAT_MIN) {\n return vec4(0.0, 0.0, 0.0, 0.0);\n } else if(v > FLOAT_MAX) {\n return vec4(127.0, 128.0, 0.0, 0.0) / 255.0;\n } else if(v < -FLOAT_MAX) {\n return vec4(255.0, 128.0, 0.0, 0.0) / 255.0;\n }\n\n vec4 c = vec4(0,0,0,0);\n\n //Compute exponent and mantissa\n float e = floor(log2(av));\n float m = av * pow(2.0, -e) - 1.0;\n\n //Unpack mantissa\n c[1] = floor(128.0 * m);\n m -= c[1] / 128.0;\n c[2] = floor(32768.0 * m);\n m -= c[2] / 32768.0;\n c[3] = floor(8388608.0 * m);\n\n //Unpack exponent\n float ebias = e + 127.0;\n c[0] = floor(ebias / 2.0);\n ebias -= c[0] * 2.0;\n c[1] += floor(ebias) * 128.0;\n\n //Unpack sign bit\n c[0] += 128.0 * step(0.0, -v);\n\n //Scale back to range\n return c / 255.0;\n}\n\nbool outOfRange(float a, float b, float p) {\n return ((p > max(a, b)) || \n (p < min(a, b)));\n}\n\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\n return (outOfRange(a.x, b.x, p.x) ||\n outOfRange(a.y, b.y, p.y));\n}\n\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\n return (outOfRange(a.x, b.x, p.x) ||\n outOfRange(a.y, b.y, p.y) ||\n outOfRange(a.z, b.z, p.z));\n}\n\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\n return outOfRange(a.xyz, b.xyz, p.xyz);\n}\n\nuniform float pickId;\nuniform vec3 clipBounds[2];\n\nvarying vec3 worldPosition;\nvarying float pixelArcLength;\nvarying vec4 fragColor;\n\nvoid main() {\n if (outOfRange(clipBounds[0], clipBounds[1], worldPosition)) discard;\n\n gl_FragColor = vec4(pickId/255.0, packFloat(pixelArcLength).xyz);\n}"]),l=[{name:"position",type:"vec3"},{name:"nextPosition",type:"vec3"},{name:"arcLength",type:"float"},{name:"lineWidth",type:"float"},{name:"color",type:"vec4"}];e.createShader=function(t){return i(t,a,o,null,l)},e.createPickShader=function(t){return i(t,a,s,null,l)}},6086:function(t,e,r){"use strict";t.exports=function(t){var e=t.gl||t.scene&&t.scene.gl,r=f(e);r.attributes.position.location=0,r.attributes.nextPosition.location=1,r.attributes.arcLength.location=2,r.attributes.lineWidth.location=3,r.attributes.color.location=4;var o=h(e);o.attributes.position.location=0,o.attributes.nextPosition.location=1,o.attributes.arcLength.location=2,o.attributes.lineWidth.location=3,o.attributes.color.location=4;for(var s=n(e),l=i(e,[{buffer:s,size:3,offset:0,stride:48},{buffer:s,size:3,offset:12,stride:48},{buffer:s,size:1,offset:24,stride:48},{buffer:s,size:1,offset:28,stride:48},{buffer:s,size:4,offset:32,stride:48}]),c=u(new Array(1024),[256,1,4]),p=0;p<1024;++p)c.data[p]=255;var d=a(e,c);d.wrap=e.REPEAT;var v=new y(e,r,o,s,l,d);return v.update(t),v};var n=r(5827),i=r(2944),a=r(8931),o=new Uint8Array(4),s=new Float32Array(o.buffer),l=r(5070),u=r(5050),c=r(248),f=c.createShader,h=c.createPickShader,p=[1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1];function d(t,e){for(var r=0,n=0;n<3;++n){var i=t[n]-e[n];r+=i*i}return Math.sqrt(r)}function v(t){for(var e=[[-1e6,-1e6,-1e6],[1e6,1e6,1e6]],r=0;r<3;++r)e[0][r]=Math.max(t[0][r],e[0][r]),e[1][r]=Math.min(t[1][r],e[1][r]);return e}function g(t,e,r,n){this.arcLength=t,this.position=e,this.index=r,this.dataCoordinate=n}function y(t,e,r,n,i,a){this.gl=t,this.shader=e,this.pickShader=r,this.buffer=n,this.vao=i,this.clipBounds=[[-1/0,-1/0,-1/0],[1/0,1/0,1/0]],this.points=[],this.arcLength=[],this.vertexCount=0,this.bounds=[[0,0,0],[0,0,0]],this.pickId=0,this.lineWidth=1,this.texture=a,this.dashScale=1,this.opacity=1,this.hasAlpha=!1,this.dirty=!0,this.pixelRatio=1}var m=y.prototype;m.isTransparent=function(){return this.hasAlpha},m.isOpaque=function(){return!this.hasAlpha},m.pickSlots=1,m.setPickBase=function(t){this.pickId=t},m.drawTransparent=m.draw=function(t){if(this.vertexCount){var e=this.gl,r=this.shader,n=this.vao;r.bind(),r.uniforms={model:t.model||p,view:t.view||p,projection:t.projection||p,clipBounds:v(this.clipBounds),dashTexture:this.texture.bind(),dashScale:this.dashScale/this.arcLength[this.arcLength.length-1],opacity:this.opacity,screenShape:[e.drawingBufferWidth,e.drawingBufferHeight],pixelRatio:this.pixelRatio},n.bind(),n.draw(e.TRIANGLE_STRIP,this.vertexCount),n.unbind()}},m.drawPick=function(t){if(this.vertexCount){var e=this.gl,r=this.pickShader,n=this.vao;r.bind(),r.uniforms={model:t.model||p,view:t.view||p,projection:t.projection||p,pickId:this.pickId,clipBounds:v(this.clipBounds),screenShape:[e.drawingBufferWidth,e.drawingBufferHeight],pixelRatio:this.pixelRatio},n.bind(),n.draw(e.TRIANGLE_STRIP,this.vertexCount),n.unbind()}},m.update=function(t){var e,r;this.dirty=!0;var n=!!t.connectGaps;"dashScale"in t&&(this.dashScale=t.dashScale),this.hasAlpha=!1,"opacity"in t&&(this.opacity=+t.opacity,this.opacity<1&&(this.hasAlpha=!0));var i=[],a=[],o=[],s=0,c=0,f=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]],h=t.position||t.positions;if(h){var p=t.color||t.colors||[0,0,0,1],v=t.lineWidth||1,g=!1;t:for(e=1;e0){for(var w=0;w<24;++w)i.push(i[i.length-12]);c+=2,g=!0}continue t}f[0][r]=Math.min(f[0][r],b[r],_[r]),f[1][r]=Math.max(f[1][r],b[r],_[r])}Array.isArray(p[0])?(y=p.length>e-1?p[e-1]:p.length>0?p[p.length-1]:[0,0,0,1],m=p.length>e?p[e]:p.length>0?p[p.length-1]:[0,0,0,1]):y=m=p,3===y.length&&(y=[y[0],y[1],y[2],1]),3===m.length&&(m=[m[0],m[1],m[2],1]),!this.hasAlpha&&y[3]<1&&(this.hasAlpha=!0),x=Array.isArray(v)?v.length>e-1?v[e-1]:v.length>0?v[v.length-1]:[0,0,0,1]:v;var T=s;if(s+=d(b,_),g){for(r=0;r<2;++r)i.push(b[0],b[1],b[2],_[0],_[1],_[2],T,x,y[0],y[1],y[2],y[3]);c+=2,g=!1}i.push(b[0],b[1],b[2],_[0],_[1],_[2],T,x,y[0],y[1],y[2],y[3],b[0],b[1],b[2],_[0],_[1],_[2],T,-x,y[0],y[1],y[2],y[3],_[0],_[1],_[2],b[0],b[1],b[2],s,-x,m[0],m[1],m[2],m[3],_[0],_[1],_[2],b[0],b[1],b[2],s,x,m[0],m[1],m[2],m[3]),c+=4}}if(this.buffer.update(i),a.push(s),o.push(h[h.length-1].slice()),this.bounds=f,this.vertexCount=c,this.points=o,this.arcLength=a,"dashes"in t){var k=t.dashes.slice();for(k.unshift(0),e=1;e1.0001)return null;y+=g[f]}return Math.abs(y-1)>.001?null:[h,s(t,g),g]}},2056:function(t,e,r){var n=r(6832),i=n(["precision highp float;\n#define GLSLIFY 1\n\nattribute vec3 position, normal;\nattribute vec4 color;\nattribute vec2 uv;\n\nuniform mat4 model\n , view\n , projection\n , inverseModel;\nuniform vec3 eyePosition\n , lightPosition;\n\nvarying vec3 f_normal\n , f_lightDirection\n , f_eyeDirection\n , f_data;\nvarying vec4 f_color;\nvarying vec2 f_uv;\n\nvec4 project(vec3 p) {\n return projection * view * model * vec4(p, 1.0);\n}\n\nvoid main() {\n gl_Position = project(position);\n\n //Lighting geometry parameters\n vec4 cameraCoordinate = view * vec4(position , 1.0);\n cameraCoordinate.xyz /= cameraCoordinate.w;\n f_lightDirection = lightPosition - cameraCoordinate.xyz;\n f_eyeDirection = eyePosition - cameraCoordinate.xyz;\n f_normal = normalize((vec4(normal, 0.0) * inverseModel).xyz);\n\n f_color = color;\n f_data = position;\n f_uv = uv;\n}\n"]),a=n(["#extension GL_OES_standard_derivatives : enable\n\nprecision highp float;\n#define GLSLIFY 1\n\nfloat beckmannDistribution(float x, float roughness) {\n float NdotH = max(x, 0.0001);\n float cos2Alpha = NdotH * NdotH;\n float tan2Alpha = (cos2Alpha - 1.0) / cos2Alpha;\n float roughness2 = roughness * roughness;\n float denom = 3.141592653589793 * roughness2 * cos2Alpha * cos2Alpha;\n return exp(tan2Alpha / roughness2) / denom;\n}\n\nfloat cookTorranceSpecular(\n vec3 lightDirection,\n vec3 viewDirection,\n vec3 surfaceNormal,\n float roughness,\n float fresnel) {\n\n float VdotN = max(dot(viewDirection, surfaceNormal), 0.0);\n float LdotN = max(dot(lightDirection, surfaceNormal), 0.0);\n\n //Half angle vector\n vec3 H = normalize(lightDirection + viewDirection);\n\n //Geometric term\n float NdotH = max(dot(surfaceNormal, H), 0.0);\n float VdotH = max(dot(viewDirection, H), 0.000001);\n float LdotH = max(dot(lightDirection, H), 0.000001);\n float G1 = (2.0 * NdotH * VdotN) / VdotH;\n float G2 = (2.0 * NdotH * LdotN) / LdotH;\n float G = min(1.0, min(G1, G2));\n \n //Distribution term\n float D = beckmannDistribution(NdotH, roughness);\n\n //Fresnel term\n float F = pow(1.0 - VdotN, fresnel);\n\n //Multiply terms and done\n return G * F * D / max(3.14159265 * VdotN, 0.000001);\n}\n\n//#pragma glslify: beckmann = require(glsl-specular-beckmann) // used in gl-surface3d\n\nbool outOfRange(float a, float b, float p) {\n return ((p > max(a, b)) || \n (p < min(a, b)));\n}\n\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\n return (outOfRange(a.x, b.x, p.x) ||\n outOfRange(a.y, b.y, p.y));\n}\n\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\n return (outOfRange(a.x, b.x, p.x) ||\n outOfRange(a.y, b.y, p.y) ||\n outOfRange(a.z, b.z, p.z));\n}\n\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\n return outOfRange(a.xyz, b.xyz, p.xyz);\n}\n\nuniform vec3 clipBounds[2];\nuniform float roughness\n , fresnel\n , kambient\n , kdiffuse\n , kspecular;\nuniform sampler2D texture;\n\nvarying vec3 f_normal\n , f_lightDirection\n , f_eyeDirection\n , f_data;\nvarying vec4 f_color;\nvarying vec2 f_uv;\n\nvoid main() {\n if (f_color.a == 0.0 ||\n outOfRange(clipBounds[0], clipBounds[1], f_data)\n ) discard;\n\n vec3 N = normalize(f_normal);\n vec3 L = normalize(f_lightDirection);\n vec3 V = normalize(f_eyeDirection);\n\n if(gl_FrontFacing) {\n N = -N;\n }\n\n float specular = min(1.0, max(0.0, cookTorranceSpecular(L, V, N, roughness, fresnel)));\n //float specular = max(0.0, beckmann(L, V, N, roughness)); // used in gl-surface3d\n\n float diffuse = min(kambient + kdiffuse * max(dot(N, L), 0.0), 1.0);\n\n vec4 surfaceColor = vec4(f_color.rgb, 1.0) * texture2D(texture, f_uv);\n vec4 litColor = surfaceColor.a * vec4(diffuse * surfaceColor.rgb + kspecular * vec3(1,1,1) * specular, 1.0);\n\n gl_FragColor = litColor * f_color.a;\n}\n"]),o=n(["precision highp float;\n#define GLSLIFY 1\n\nattribute vec3 position;\nattribute vec4 color;\nattribute vec2 uv;\n\nuniform mat4 model, view, projection;\n\nvarying vec4 f_color;\nvarying vec3 f_data;\nvarying vec2 f_uv;\n\nvoid main() {\n gl_Position = projection * view * model * vec4(position, 1.0);\n f_color = color;\n f_data = position;\n f_uv = uv;\n}"]),s=n(["precision highp float;\n#define GLSLIFY 1\n\nbool outOfRange(float a, float b, float p) {\n return ((p > max(a, b)) || \n (p < min(a, b)));\n}\n\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\n return (outOfRange(a.x, b.x, p.x) ||\n outOfRange(a.y, b.y, p.y));\n}\n\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\n return (outOfRange(a.x, b.x, p.x) ||\n outOfRange(a.y, b.y, p.y) ||\n outOfRange(a.z, b.z, p.z));\n}\n\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\n return outOfRange(a.xyz, b.xyz, p.xyz);\n}\n\nuniform vec3 clipBounds[2];\nuniform sampler2D texture;\nuniform float opacity;\n\nvarying vec4 f_color;\nvarying vec3 f_data;\nvarying vec2 f_uv;\n\nvoid main() {\n if (outOfRange(clipBounds[0], clipBounds[1], f_data)) discard;\n\n gl_FragColor = f_color * texture2D(texture, f_uv) * opacity;\n}"]),l=n(["precision highp float;\n#define GLSLIFY 1\n\nbool outOfRange(float a, float b, float p) {\n return ((p > max(a, b)) || \n (p < min(a, b)));\n}\n\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\n return (outOfRange(a.x, b.x, p.x) ||\n outOfRange(a.y, b.y, p.y));\n}\n\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\n return (outOfRange(a.x, b.x, p.x) ||\n outOfRange(a.y, b.y, p.y) ||\n outOfRange(a.z, b.z, p.z));\n}\n\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\n return outOfRange(a.xyz, b.xyz, p.xyz);\n}\n\nattribute vec3 position;\nattribute vec4 color;\nattribute vec2 uv;\nattribute float pointSize;\n\nuniform mat4 model, view, projection;\nuniform vec3 clipBounds[2];\n\nvarying vec4 f_color;\nvarying vec2 f_uv;\n\nvoid main() {\n if (outOfRange(clipBounds[0], clipBounds[1], position)) {\n\n gl_Position = vec4(0.0, 0.0 ,0.0 ,0.0);\n } else {\n gl_Position = projection * view * model * vec4(position, 1.0);\n }\n gl_PointSize = pointSize;\n f_color = color;\n f_uv = uv;\n}"]),u=n(["precision highp float;\n#define GLSLIFY 1\n\nuniform sampler2D texture;\nuniform float opacity;\n\nvarying vec4 f_color;\nvarying vec2 f_uv;\n\nvoid main() {\n vec2 pointR = gl_PointCoord.xy - vec2(0.5, 0.5);\n if(dot(pointR, pointR) > 0.25) {\n discard;\n }\n gl_FragColor = f_color * texture2D(texture, f_uv) * opacity;\n}"]),c=n(["precision highp float;\n#define GLSLIFY 1\n\nattribute vec3 position;\nattribute vec4 id;\n\nuniform mat4 model, view, projection;\n\nvarying vec3 f_position;\nvarying vec4 f_id;\n\nvoid main() {\n gl_Position = projection * view * model * vec4(position, 1.0);\n f_id = id;\n f_position = position;\n}"]),f=n(["precision highp float;\n#define GLSLIFY 1\n\nbool outOfRange(float a, float b, float p) {\n return ((p > max(a, b)) || \n (p < min(a, b)));\n}\n\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\n return (outOfRange(a.x, b.x, p.x) ||\n outOfRange(a.y, b.y, p.y));\n}\n\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\n return (outOfRange(a.x, b.x, p.x) ||\n outOfRange(a.y, b.y, p.y) ||\n outOfRange(a.z, b.z, p.z));\n}\n\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\n return outOfRange(a.xyz, b.xyz, p.xyz);\n}\n\nuniform vec3 clipBounds[2];\nuniform float pickId;\n\nvarying vec3 f_position;\nvarying vec4 f_id;\n\nvoid main() {\n if (outOfRange(clipBounds[0], clipBounds[1], f_position)) discard;\n\n gl_FragColor = vec4(pickId, f_id.xyz);\n}"]),h=n(["precision highp float;\n#define GLSLIFY 1\n\nbool outOfRange(float a, float b, float p) {\n return ((p > max(a, b)) || \n (p < min(a, b)));\n}\n\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\n return (outOfRange(a.x, b.x, p.x) ||\n outOfRange(a.y, b.y, p.y));\n}\n\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\n return (outOfRange(a.x, b.x, p.x) ||\n outOfRange(a.y, b.y, p.y) ||\n outOfRange(a.z, b.z, p.z));\n}\n\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\n return outOfRange(a.xyz, b.xyz, p.xyz);\n}\n\nattribute vec3 position;\nattribute float pointSize;\nattribute vec4 id;\n\nuniform mat4 model, view, projection;\nuniform vec3 clipBounds[2];\n\nvarying vec3 f_position;\nvarying vec4 f_id;\n\nvoid main() {\n if (outOfRange(clipBounds[0], clipBounds[1], position)) {\n\n gl_Position = vec4(0.0, 0.0, 0.0, 0.0);\n } else {\n gl_Position = projection * view * model * vec4(position, 1.0);\n gl_PointSize = pointSize;\n }\n f_id = id;\n f_position = position;\n}"]),p=n(["precision highp float;\n#define GLSLIFY 1\n\nattribute vec3 position;\n\nuniform mat4 model, view, projection;\n\nvoid main() {\n gl_Position = projection * view * model * vec4(position, 1.0);\n}"]),d=n(["precision highp float;\n#define GLSLIFY 1\n\nuniform vec3 contourColor;\n\nvoid main() {\n gl_FragColor = vec4(contourColor, 1.0);\n}\n"]);e.meshShader={vertex:i,fragment:a,attributes:[{name:"position",type:"vec3"},{name:"normal",type:"vec3"},{name:"color",type:"vec4"},{name:"uv",type:"vec2"}]},e.wireShader={vertex:o,fragment:s,attributes:[{name:"position",type:"vec3"},{name:"color",type:"vec4"},{name:"uv",type:"vec2"}]},e.pointShader={vertex:l,fragment:u,attributes:[{name:"position",type:"vec3"},{name:"color",type:"vec4"},{name:"uv",type:"vec2"},{name:"pointSize",type:"float"}]},e.pickShader={vertex:c,fragment:f,attributes:[{name:"position",type:"vec3"},{name:"id",type:"vec4"}]},e.pointPickShader={vertex:h,fragment:f,attributes:[{name:"position",type:"vec3"},{name:"pointSize",type:"float"},{name:"id",type:"vec4"}]},e.contourShader={vertex:p,fragment:d,attributes:[{name:"position",type:"vec3"}]}},8116:function(t,e,r){"use strict";var n=r(5158),i=r(5827),a=r(2944),o=r(8931),s=r(115),l=r(104),u=r(7437),c=r(5050),f=r(9156),h=r(7212),p=r(5306),d=r(2056),v=r(4340),g=d.meshShader,y=d.wireShader,m=d.pointShader,x=d.pickShader,b=d.pointPickShader,_=d.contourShader,w=[1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1];function T(t,e,r,n,i,a,o,s,l,u,c,f,h,p,d,v,g,y,m,x,b,_,T,k,A,M,S){this.gl=t,this.pixelRatio=1,this.cells=[],this.positions=[],this.intensity=[],this.texture=e,this.dirty=!0,this.triShader=r,this.lineShader=n,this.pointShader=i,this.pickShader=a,this.pointPickShader=o,this.contourShader=s,this.trianglePositions=l,this.triangleColors=c,this.triangleNormals=h,this.triangleUVs=f,this.triangleIds=u,this.triangleVAO=p,this.triangleCount=0,this.lineWidth=1,this.edgePositions=d,this.edgeColors=g,this.edgeUVs=y,this.edgeIds=v,this.edgeVAO=m,this.edgeCount=0,this.pointPositions=x,this.pointColors=_,this.pointUVs=T,this.pointSizes=k,this.pointIds=b,this.pointVAO=A,this.pointCount=0,this.contourLineWidth=1,this.contourPositions=M,this.contourVAO=S,this.contourCount=0,this.contourColor=[0,0,0],this.contourEnable=!0,this.pickVertex=!0,this.pickId=1,this.bounds=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]],this.clipBounds=[[-1/0,-1/0,-1/0],[1/0,1/0,1/0]],this.lightPosition=[1e5,1e5,0],this.ambientLight=.8,this.diffuseLight=.8,this.specularLight=2,this.roughness=.5,this.fresnel=1.5,this.opacity=1,this.hasAlpha=!1,this.opacityscale=!1,this._model=w,this._view=w,this._projection=w,this._resolution=[1,1]}var k=T.prototype;function A(t,e){if(!e)return 1;if(!e.length)return 1;for(var r=0;rt&&r>0){var n=(e[r][0]-t)/(e[r][0]-e[r-1][0]);return e[r][1]*(1-n)+n*e[r-1][1]}}return 1}function M(t){var e=n(t,m.vertex,m.fragment);return e.attributes.position.location=0,e.attributes.color.location=2,e.attributes.uv.location=3,e.attributes.pointSize.location=4,e}function S(t){var e=n(t,x.vertex,x.fragment);return e.attributes.position.location=0,e.attributes.id.location=1,e}function E(t){var e=n(t,b.vertex,b.fragment);return e.attributes.position.location=0,e.attributes.id.location=1,e.attributes.pointSize.location=4,e}function L(t){var e=n(t,_.vertex,_.fragment);return e.attributes.position.location=0,e}k.isOpaque=function(){return!this.hasAlpha},k.isTransparent=function(){return this.hasAlpha},k.pickSlots=1,k.setPickBase=function(t){this.pickId=t},k.highlight=function(t){if(t&&this.contourEnable){for(var e=h(this.cells,this.intensity,t.intensity),r=e.cells,n=e.vertexIds,i=e.vertexWeights,a=r.length,o=p.mallocFloat32(6*a),s=0,l=0;l0&&((f=this.triShader).bind(),f.uniforms=s,this.triangleVAO.bind(),e.drawArrays(e.TRIANGLES,0,3*this.triangleCount),this.triangleVAO.unbind()),this.edgeCount>0&&this.lineWidth>0&&((f=this.lineShader).bind(),f.uniforms=s,this.edgeVAO.bind(),e.lineWidth(this.lineWidth*this.pixelRatio),e.drawArrays(e.LINES,0,2*this.edgeCount),this.edgeVAO.unbind()),this.pointCount>0&&((f=this.pointShader).bind(),f.uniforms=s,this.pointVAO.bind(),e.drawArrays(e.POINTS,0,this.pointCount),this.pointVAO.unbind()),this.contourEnable&&this.contourCount>0&&this.contourLineWidth>0&&((f=this.contourShader).bind(),f.uniforms=s,this.contourVAO.bind(),e.drawArrays(e.LINES,0,this.contourCount),this.contourVAO.unbind())},k.drawPick=function(t){t=t||{};for(var e=this.gl,r=t.model||w,n=t.view||w,i=t.projection||w,a=[[-1e6,-1e6,-1e6],[1e6,1e6,1e6]],o=0;o<3;++o)a[0][o]=Math.max(a[0][o],this.clipBounds[0][o]),a[1][o]=Math.min(a[1][o],this.clipBounds[1][o]);this._model=[].slice.call(r),this._view=[].slice.call(n),this._projection=[].slice.call(i),this._resolution=[e.drawingBufferWidth,e.drawingBufferHeight];var s,l={model:r,view:n,projection:i,clipBounds:a,pickId:this.pickId/255};(s=this.pickShader).bind(),s.uniforms=l,this.triangleCount>0&&(this.triangleVAO.bind(),e.drawArrays(e.TRIANGLES,0,3*this.triangleCount),this.triangleVAO.unbind()),this.edgeCount>0&&(this.edgeVAO.bind(),e.lineWidth(this.lineWidth*this.pixelRatio),e.drawArrays(e.LINES,0,2*this.edgeCount),this.edgeVAO.unbind()),this.pointCount>0&&((s=this.pointPickShader).bind(),s.uniforms=l,this.pointVAO.bind(),e.drawArrays(e.POINTS,0,this.pointCount),this.pointVAO.unbind())},k.pick=function(t){if(!t)return null;if(t.id!==this.pickId)return null;for(var e=t.value[0]+256*t.value[1]+65536*t.value[2],r=this.cells[e],n=this.positions,i=new Array(r.length),a=0;ai[k]&&(r.uniforms.dataAxis=u,r.uniforms.screenOffset=c,r.uniforms.color=g[t],r.uniforms.angle=y[t],a.drawArrays(a.TRIANGLES,i[k],i[A]-i[k]))),m[t]&&T&&(c[1^t]-=M*p*x[t],r.uniforms.dataAxis=f,r.uniforms.screenOffset=c,r.uniforms.color=b[t],r.uniforms.angle=_[t],a.drawArrays(a.TRIANGLES,w,T)),c[1^t]=M*s[2+(1^t)]-1,d[t+2]&&(c[1^t]+=M*p*v[t+2],ki[k]&&(r.uniforms.dataAxis=u,r.uniforms.screenOffset=c,r.uniforms.color=g[t+2],r.uniforms.angle=y[t+2],a.drawArrays(a.TRIANGLES,i[k],i[A]-i[k]))),m[t+2]&&T&&(c[1^t]+=M*p*x[t+2],r.uniforms.dataAxis=f,r.uniforms.screenOffset=c,r.uniforms.color=b[t+2],r.uniforms.angle=_[t+2],a.drawArrays(a.TRIANGLES,w,T))}),v.drawTitle=function(){var t=[0,0],e=[0,0];return function(){var r=this.plot,n=this.shader,i=r.gl,a=r.screenBox,o=r.titleCenter,s=r.titleAngle,l=r.titleColor,u=r.pixelRatio;if(this.titleCount){for(var c=0;c<2;++c)e[c]=2*(o[c]*u-a[c])/(a[2+c]-a[c])-1;n.bind(),n.uniforms.dataAxis=t,n.uniforms.screenOffset=e,n.uniforms.angle=s,n.uniforms.color=l,i.drawArrays(i.TRIANGLES,this.titleOffset,this.titleCount)}}}(),v.bind=(h=[0,0],p=[0,0],d=[0,0],function(){var t=this.plot,e=this.shader,r=t._tickBounds,n=t.dataBox,i=t.screenBox,a=t.viewBox;e.bind();for(var o=0;o<2;++o){var s=r[o],l=r[o+2]-s,u=.5*(n[o+2]+n[o]),c=n[o+2]-n[o],f=a[o],v=a[o+2]-f,g=i[o],y=i[o+2]-g;p[o]=2*l/c*v/y,h[o]=2*(s-u)/c*v/y}d[1]=2*t.pixelRatio/(i[3]-i[1]),d[0]=d[1]*(i[3]-i[1])/(i[2]-i[0]),e.uniforms.dataScale=p,e.uniforms.dataShift=h,e.uniforms.textScale=d,this.vbo.bind(),e.attributes.textCoordinate.pointer()}),v.update=function(t){var e,r,n,i,o,s=[],l=t.ticks,u=t.bounds;for(o=0;o<2;++o){var c=[Math.floor(s.length/3)],f=[-1/0],h=l[o];for(e=0;e=0){var v=e[d]-n[d]*(e[d+2]-e[d])/(n[d+2]-n[d]);0===d?o.drawLine(v,e[1],v,e[3],p[d],h[d]):o.drawLine(e[0],v,e[2],v,p[d],h[d])}}for(d=0;d=0;--t)this.objects[t].dispose();for(this.objects.length=0,t=this.overlays.length-1;t>=0;--t)this.overlays[t].dispose();this.overlays.length=0,this.gl=null},u.addObject=function(t){this.objects.indexOf(t)<0&&(this.objects.push(t),this.setDirty())},u.removeObject=function(t){for(var e=this.objects,r=0;rMath.abs(e))u.rotate(a,0,0,-t*r*Math.PI*d.rotateSpeed/window.innerWidth);else if(!d._ortho){var o=-d.zoomSpeed*i*e/window.innerHeight*(a-u.lastT())/20;u.pan(a,0,0,f*(Math.exp(o)-1))}}}),!0)},d.enableMouseListeners(),d};var n=r(8161),i=r(1152),a=r(6145),o=r(6475),s=r(2565),l=r(5233)},8245:function(t,e,r){var n=r(6832),i=r(5158),a=n(["precision mediump float;\n#define GLSLIFY 1\nattribute vec2 position;\nvarying vec2 uv;\nvoid main() {\n uv = position;\n gl_Position = vec4(position, 0, 1);\n}"]),o=n(["precision mediump float;\n#define GLSLIFY 1\n\nuniform sampler2D accumBuffer;\nvarying vec2 uv;\n\nvoid main() {\n vec4 accum = texture2D(accumBuffer, 0.5 * (uv + 1.0));\n gl_FragColor = min(vec4(1,1,1,1), accum);\n}"]);t.exports=function(t){return i(t,a,o,null,[{name:"position",type:"vec2"}])}},1059:function(t,e,r){"use strict";var n=r(4296),i=r(7453),a=r(2771),o=r(6496),s=r(2611),l=r(4234),u=r(8126),c=r(6145),f=r(1120),h=r(5268),p=r(8245),d=r(2321)({tablet:!0,featureDetect:!0});function v(){this.mouse=[-1,-1],this.screen=null,this.distance=1/0,this.index=null,this.dataCoordinate=null,this.dataPosition=null,this.object=null,this.data=null}function g(t){var e=Math.round(Math.log(Math.abs(t))/Math.log(10));if(e<0){var r=Math.round(Math.pow(10,-e));return Math.ceil(t*r)/r}return e>0?(r=Math.round(Math.pow(10,e)),Math.ceil(t/r)*r):Math.ceil(t)}function y(t){return"boolean"!=typeof t||t}t.exports={createScene:function(t){(t=t||{}).camera=t.camera||{};var e=t.canvas;e||(e=document.createElement("canvas"),t.container?t.container.appendChild(e):document.body.appendChild(e));var r=t.gl;if(r||(t.glOptions&&(d=!!t.glOptions.preserveDrawingBuffer),r=function(t,e){var r=null;try{(r=t.getContext("webgl",e))||(r=t.getContext("experimental-webgl",e))}catch(t){return null}return r}(e,t.glOptions||{premultipliedAlpha:!0,antialias:!0,preserveDrawingBuffer:d})),!r)throw new Error("webgl not supported");var m=t.bounds||[[-10,-10,-10],[10,10,10]],x=new v,b=l(r,r.drawingBufferWidth,r.drawingBufferHeight,{preferFloat:!d}),_=p(r),w=t.cameraObject&&!0===t.cameraObject._ortho||t.camera.projection&&"orthographic"===t.camera.projection.type||!1,T={eye:t.camera.eye||[2,0,0],center:t.camera.center||[0,0,0],up:t.camera.up||[0,1,0],zoomMin:t.camera.zoomMax||.1,zoomMax:t.camera.zoomMin||100,mode:t.camera.mode||"turntable",_ortho:w},k=t.axes||{},A=i(r,k);A.enable=!k.disable;var M=t.spikes||{},S=o(r,M),E=[],L=[],C=[],P=[],O=!0,I=!0,D={view:null,projection:new Array(16),model:new Array(16),_ortho:!1},z=(I=!0,[r.drawingBufferWidth,r.drawingBufferHeight]),R=t.cameraObject||n(e,T),F={gl:r,contextLost:!1,pixelRatio:t.pixelRatio||1,canvas:e,selection:x,camera:R,axes:A,axesPixels:null,spikes:S,bounds:m,objects:E,shape:z,aspect:t.aspectRatio||[1,1,1],pickRadius:t.pickRadius||10,zNear:t.zNear||.01,zFar:t.zFar||1e3,fovy:t.fovy||Math.PI/4,clearColor:t.clearColor||[0,0,0,0],autoResize:y(t.autoResize),autoBounds:y(t.autoBounds),autoScale:!!t.autoScale,autoCenter:y(t.autoCenter),clipToBounds:y(t.clipToBounds),snapToData:!!t.snapToData,onselect:t.onselect||null,onrender:t.onrender||null,onclick:t.onclick||null,cameraParams:D,oncontextloss:null,mouseListener:null,_stopped:!1,getAspectratio:function(){return{x:this.aspect[0],y:this.aspect[1],z:this.aspect[2]}},setAspectratio:function(t){this.aspect[0]=t.x,this.aspect[1]=t.y,this.aspect[2]=t.z,I=!0},setBounds:function(t,e){this.bounds[0][t]=e.min,this.bounds[1][t]=e.max},setClearColor:function(t){this.clearColor=t},clearRGBA:function(){this.gl.clearColor(this.clearColor[0],this.clearColor[1],this.clearColor[2],this.clearColor[3]),this.gl.clear(this.gl.COLOR_BUFFER_BIT|this.gl.DEPTH_BUFFER_BIT)}},B=[r.drawingBufferWidth/F.pixelRatio|0,r.drawingBufferHeight/F.pixelRatio|0];function N(){if(!F._stopped&&F.autoResize){var t=e.parentNode,r=1,n=1;t&&t!==document.body?(r=t.clientWidth,n=t.clientHeight):(r=window.innerWidth,n=window.innerHeight);var i=0|Math.ceil(r*F.pixelRatio),a=0|Math.ceil(n*F.pixelRatio);if(i!==e.width||a!==e.height){e.width=i,e.height=a;var o=e.style;o.position=o.position||"absolute",o.left="0px",o.top="0px",o.width=r+"px",o.height=n+"px",O=!0}}}function j(){for(var t=E.length,e=P.length,n=0;n0&&0===C[e-1];)C.pop(),P.pop().dispose()}function U(){if(F.contextLost)return!0;r.isContextLost()&&(F.contextLost=!0,F.mouseListener.enabled=!1,F.selection.object=null,F.oncontextloss&&F.oncontextloss())}F.autoResize&&N(),window.addEventListener("resize",N),F.update=function(t){F._stopped||(t=t||{},O=!0,I=!0)},F.add=function(t){F._stopped||(t.axes=A,E.push(t),L.push(-1),O=!0,I=!0,j())},F.remove=function(t){if(!F._stopped){var e=E.indexOf(t);e<0||(E.splice(e,1),L.pop(),O=!0,I=!0,j())}},F.dispose=function(){if(!F._stopped&&(F._stopped=!0,window.removeEventListener("resize",N),e.removeEventListener("webglcontextlost",U),F.mouseListener.enabled=!1,!F.contextLost)){A.dispose(),S.dispose();for(var t=0;tx.distance)continue;for(var u=0;u 1.0) {\n discard;\n }\n baseColor = mix(borderColor, color, step(radius, centerFraction));\n gl_FragColor = vec4(baseColor.rgb * baseColor.a, baseColor.a);\n }\n}\n"]),e.pickVertex=n(["precision mediump float;\n#define GLSLIFY 1\n\nattribute vec2 position;\nattribute vec4 pickId;\n\nuniform mat3 matrix;\nuniform float pointSize;\nuniform vec4 pickOffset;\n\nvarying vec4 fragId;\n\nvoid main() {\n vec3 hgPosition = matrix * vec3(position, 1);\n gl_Position = vec4(hgPosition.xy, 0, hgPosition.z);\n gl_PointSize = pointSize;\n\n vec4 id = pickId + pickOffset;\n id.y += floor(id.x / 256.0);\n id.x -= floor(id.x / 256.0) * 256.0;\n\n id.z += floor(id.y / 256.0);\n id.y -= floor(id.y / 256.0) * 256.0;\n\n id.w += floor(id.z / 256.0);\n id.z -= floor(id.z / 256.0) * 256.0;\n\n fragId = id;\n}\n"]),e.pickFragment=n(["precision mediump float;\n#define GLSLIFY 1\n\nvarying vec4 fragId;\n\nvoid main() {\n float radius = length(2.0 * gl_PointCoord.xy - 1.0);\n if(radius > 1.0) {\n discard;\n }\n gl_FragColor = fragId / 255.0;\n}\n"])},8271:function(t,e,r){"use strict";var n=r(5158),i=r(5827),a=r(5306),o=r(8023);function s(t,e,r,n,i){this.plot=t,this.offsetBuffer=e,this.pickBuffer=r,this.shader=n,this.pickShader=i,this.sizeMin=.5,this.sizeMinCap=2,this.sizeMax=20,this.areaRatio=1,this.pointCount=0,this.color=[1,0,0,1],this.borderColor=[0,0,0,1],this.blend=!1,this.pickOffset=0,this.points=null}t.exports=function(t,e){var r=t.gl,a=new s(t,i(r),i(r),n(r,o.pointVertex,o.pointFragment),n(r,o.pickVertex,o.pickFragment));return a.update(e),t.addObject(a),a};var l,u,c=s.prototype;c.dispose=function(){this.shader.dispose(),this.pickShader.dispose(),this.offsetBuffer.dispose(),this.pickBuffer.dispose(),this.plot.removeObject(this)},c.update=function(t){var e;function r(e,r){return e in t?t[e]:r}t=t||{},this.sizeMin=r("sizeMin",.5),this.sizeMax=r("sizeMax",20),this.color=r("color",[1,0,0,1]).slice(),this.areaRatio=r("areaRatio",1),this.borderColor=r("borderColor",[0,0,0,1]).slice(),this.blend=r("blend",!1);var n=t.positions.length>>>1,i=t.positions instanceof Float32Array,o=t.idToIndex instanceof Int32Array&&t.idToIndex.length>=n,s=t.positions,l=i?s:a.mallocFloat32(s.length),u=o?t.idToIndex:a.mallocInt32(n);if(i||l.set(s),!o)for(l.set(s),e=0;e>>1;for(r=0;r=e[0]&&a<=e[2]&&o>=e[1]&&o<=e[3]&&n++}return n}(this.points,i),c=this.plot.pickPixelRatio*Math.max(Math.min(this.sizeMinCap,this.sizeMin),Math.min(this.sizeMax,this.sizeMax/Math.pow(s,.33333)));l[0]=2/a,l[4]=2/o,l[6]=-2*i[0]/a-1,l[7]=-2*i[1]/o-1,this.offsetBuffer.bind(),r.bind(),r.attributes.position.pointer(),r.uniforms.matrix=l,r.uniforms.color=this.color,r.uniforms.borderColor=this.borderColor,r.uniforms.pointCloud=c<5,r.uniforms.pointSize=c,r.uniforms.centerFraction=Math.min(1,Math.max(0,Math.sqrt(1-this.areaRatio))),e&&(u[0]=255&t,u[1]=t>>8&255,u[2]=t>>16&255,u[3]=t>>24&255,this.pickBuffer.bind(),r.attributes.pickId.pointer(n.UNSIGNED_BYTE),r.uniforms.pickOffset=u,this.pickOffset=t);var f=n.getParameter(n.BLEND),h=n.getParameter(n.DITHER);return f&&!this.blend&&n.disable(n.BLEND),h&&n.disable(n.DITHER),n.drawArrays(n.POINTS,0,this.pointCount),f&&!this.blend&&n.enable(n.BLEND),h&&n.enable(n.DITHER),t+this.pointCount}),c.draw=c.unifiedDraw,c.drawPick=c.unifiedDraw,c.pick=function(t,e,r){var n=this.pickOffset,i=this.pointCount;if(r=n+i)return null;var a=r-n,o=this.points;return{object:this,pointId:a,dataCoord:[o[2*a],o[2*a+1]]}}},6093:function(t){t.exports=function(t,e,r,n){var i,a,o,s,l,u=e[0],c=e[1],f=e[2],h=e[3],p=r[0],d=r[1],v=r[2],g=r[3];return(a=u*p+c*d+f*v+h*g)<0&&(a=-a,p=-p,d=-d,v=-v,g=-g),1-a>1e-6?(i=Math.acos(a),o=Math.sin(i),s=Math.sin((1-n)*i)/o,l=Math.sin(n*i)/o):(s=1-n,l=n),t[0]=s*u+l*p,t[1]=s*c+l*d,t[2]=s*f+l*v,t[3]=s*h+l*g,t}},8240:function(t){"use strict";t.exports=function(t){return t||0===t?t.toString():""}},4123:function(t,e,r){"use strict";var n=r(875);t.exports=function(t,e,r){var a=i[e];if(a||(a=i[e]={}),t in a)return a[t];var o={textAlign:"center",textBaseline:"middle",lineHeight:1,font:e,lineSpacing:1.25,styletags:{breaklines:!0,bolds:!0,italics:!0,subscripts:!0,superscripts:!0},triangles:!0},s=n(t,o);o.triangles=!1;var l,u,c=n(t,o);if(r&&1!==r){for(l=0;l max(a, b)) || \n (p < min(a, b)));\n}\n\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\n return (outOfRange(a.x, b.x, p.x) ||\n outOfRange(a.y, b.y, p.y));\n}\n\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\n return (outOfRange(a.x, b.x, p.x) ||\n outOfRange(a.y, b.y, p.y) ||\n outOfRange(a.z, b.z, p.z));\n}\n\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\n return outOfRange(a.xyz, b.xyz, p.xyz);\n}\n\nattribute vec3 position;\nattribute vec4 color;\nattribute vec2 glyph;\nattribute vec4 id;\n\nuniform vec4 highlightId;\nuniform float highlightScale;\nuniform mat4 model, view, projection;\nuniform vec3 clipBounds[2];\n\nvarying vec4 interpColor;\nvarying vec4 pickId;\nvarying vec3 dataCoordinate;\n\nvoid main() {\n if (outOfRange(clipBounds[0], clipBounds[1], position)) {\n\n gl_Position = vec4(0,0,0,0);\n } else {\n float scale = 1.0;\n if(distance(highlightId, id) < 0.0001) {\n scale = highlightScale;\n }\n\n vec4 worldPosition = model * vec4(position, 1);\n vec4 viewPosition = view * worldPosition;\n viewPosition = viewPosition / viewPosition.w;\n vec4 clipPosition = projection * (viewPosition + scale * vec4(glyph.x, -glyph.y, 0, 0));\n\n gl_Position = clipPosition;\n interpColor = color;\n pickId = id;\n dataCoordinate = position;\n }\n}"]),o=i(["precision highp float;\n#define GLSLIFY 1\n\nbool outOfRange(float a, float b, float p) {\n return ((p > max(a, b)) || \n (p < min(a, b)));\n}\n\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\n return (outOfRange(a.x, b.x, p.x) ||\n outOfRange(a.y, b.y, p.y));\n}\n\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\n return (outOfRange(a.x, b.x, p.x) ||\n outOfRange(a.y, b.y, p.y) ||\n outOfRange(a.z, b.z, p.z));\n}\n\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\n return outOfRange(a.xyz, b.xyz, p.xyz);\n}\n\nattribute vec3 position;\nattribute vec4 color;\nattribute vec2 glyph;\nattribute vec4 id;\n\nuniform mat4 model, view, projection;\nuniform vec2 screenSize;\nuniform vec3 clipBounds[2];\nuniform float highlightScale, pixelRatio;\nuniform vec4 highlightId;\n\nvarying vec4 interpColor;\nvarying vec4 pickId;\nvarying vec3 dataCoordinate;\n\nvoid main() {\n if (outOfRange(clipBounds[0], clipBounds[1], position)) {\n\n gl_Position = vec4(0,0,0,0);\n } else {\n float scale = pixelRatio;\n if(distance(highlightId.bgr, id.bgr) < 0.001) {\n scale *= highlightScale;\n }\n\n vec4 worldPosition = model * vec4(position, 1.0);\n vec4 viewPosition = view * worldPosition;\n vec4 clipPosition = projection * viewPosition;\n clipPosition /= clipPosition.w;\n\n gl_Position = clipPosition + vec4(screenSize * scale * vec2(glyph.x, -glyph.y), 0.0, 0.0);\n interpColor = color;\n pickId = id;\n dataCoordinate = position;\n }\n}"]),s=i(["precision highp float;\n#define GLSLIFY 1\n\nbool outOfRange(float a, float b, float p) {\n return ((p > max(a, b)) || \n (p < min(a, b)));\n}\n\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\n return (outOfRange(a.x, b.x, p.x) ||\n outOfRange(a.y, b.y, p.y));\n}\n\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\n return (outOfRange(a.x, b.x, p.x) ||\n outOfRange(a.y, b.y, p.y) ||\n outOfRange(a.z, b.z, p.z));\n}\n\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\n return outOfRange(a.xyz, b.xyz, p.xyz);\n}\n\nattribute vec3 position;\nattribute vec4 color;\nattribute vec2 glyph;\nattribute vec4 id;\n\nuniform float highlightScale;\nuniform vec4 highlightId;\nuniform vec3 axes[2];\nuniform mat4 model, view, projection;\nuniform vec2 screenSize;\nuniform vec3 clipBounds[2];\nuniform float scale, pixelRatio;\n\nvarying vec4 interpColor;\nvarying vec4 pickId;\nvarying vec3 dataCoordinate;\n\nvoid main() {\n if (outOfRange(clipBounds[0], clipBounds[1], position)) {\n\n gl_Position = vec4(0,0,0,0);\n } else {\n float lscale = pixelRatio * scale;\n if(distance(highlightId, id) < 0.0001) {\n lscale *= highlightScale;\n }\n\n vec4 clipCenter = projection * view * model * vec4(position, 1);\n vec3 dataPosition = position + 0.5*lscale*(axes[0] * glyph.x + axes[1] * glyph.y) * clipCenter.w * screenSize.y;\n vec4 clipPosition = projection * view * model * vec4(dataPosition, 1);\n\n gl_Position = clipPosition;\n interpColor = color;\n pickId = id;\n dataCoordinate = dataPosition;\n }\n}\n"]),l=i(["precision highp float;\n#define GLSLIFY 1\n\nbool outOfRange(float a, float b, float p) {\n return ((p > max(a, b)) || \n (p < min(a, b)));\n}\n\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\n return (outOfRange(a.x, b.x, p.x) ||\n outOfRange(a.y, b.y, p.y));\n}\n\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\n return (outOfRange(a.x, b.x, p.x) ||\n outOfRange(a.y, b.y, p.y) ||\n outOfRange(a.z, b.z, p.z));\n}\n\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\n return outOfRange(a.xyz, b.xyz, p.xyz);\n}\n\nuniform vec3 fragClipBounds[2];\nuniform float opacity;\n\nvarying vec4 interpColor;\nvarying vec3 dataCoordinate;\n\nvoid main() {\n if (\n outOfRange(fragClipBounds[0], fragClipBounds[1], dataCoordinate) ||\n interpColor.a * opacity == 0.\n ) discard;\n gl_FragColor = interpColor * opacity;\n}\n"]),u=i(["precision highp float;\n#define GLSLIFY 1\n\nbool outOfRange(float a, float b, float p) {\n return ((p > max(a, b)) || \n (p < min(a, b)));\n}\n\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\n return (outOfRange(a.x, b.x, p.x) ||\n outOfRange(a.y, b.y, p.y));\n}\n\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\n return (outOfRange(a.x, b.x, p.x) ||\n outOfRange(a.y, b.y, p.y) ||\n outOfRange(a.z, b.z, p.z));\n}\n\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\n return outOfRange(a.xyz, b.xyz, p.xyz);\n}\n\nuniform vec3 fragClipBounds[2];\nuniform float pickGroup;\n\nvarying vec4 pickId;\nvarying vec3 dataCoordinate;\n\nvoid main() {\n if (outOfRange(fragClipBounds[0], fragClipBounds[1], dataCoordinate)) discard;\n\n gl_FragColor = vec4(pickGroup, pickId.bgr);\n}"]),c=[{name:"position",type:"vec3"},{name:"color",type:"vec4"},{name:"glyph",type:"vec2"},{name:"id",type:"vec4"}],f={vertex:a,fragment:l,attributes:c},h={vertex:o,fragment:l,attributes:c},p={vertex:s,fragment:l,attributes:c},d={vertex:a,fragment:u,attributes:c},v={vertex:o,fragment:u,attributes:c},g={vertex:s,fragment:u,attributes:c};function y(t,e){var r=n(t,e),i=r.attributes;return i.position.location=0,i.color.location=1,i.glyph.location=2,i.id.location=3,r}e.createPerspective=function(t){return y(t,f)},e.createOrtho=function(t){return y(t,h)},e.createProject=function(t){return y(t,p)},e.createPickPerspective=function(t){return y(t,d)},e.createPickOrtho=function(t){return y(t,v)},e.createPickProject=function(t){return y(t,g)}},2182:function(t,e,r){"use strict";var n=r(3596),i=r(5827),a=r(2944),o=r(5306),s=r(104),l=r(9282),u=r(4123),c=r(8240),f=[1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1];function h(t,e){var r=t[0],n=t[1],i=t[2],a=t[3];return t[0]=e[0]*r+e[4]*n+e[8]*i+e[12]*a,t[1]=e[1]*r+e[5]*n+e[9]*i+e[13]*a,t[2]=e[2]*r+e[6]*n+e[10]*i+e[14]*a,t[3]=e[3]*r+e[7]*n+e[11]*i+e[15]*a,t}function p(t,e,r,n){return h(n,n),h(n,n),h(n,n)}function d(t,e){this.index=t,this.dataCoordinate=this.position=e}function v(t){return!0===t||t>1?1:t}function g(t,e,r,n,i,a,o,s,l,u,c,f){this.gl=t,this.pixelRatio=1,this.shader=e,this.orthoShader=r,this.projectShader=n,this.pointBuffer=i,this.colorBuffer=a,this.glyphBuffer=o,this.idBuffer=s,this.vao=l,this.vertexCount=0,this.lineVertexCount=0,this.opacity=1,this.hasAlpha=!1,this.lineWidth=0,this.projectScale=[2/3,2/3,2/3],this.projectOpacity=[1,1,1],this.projectHasAlpha=!1,this.pickId=0,this.pickPerspectiveShader=u,this.pickOrthoShader=c,this.pickProjectShader=f,this.points=[],this._selectResult=new d(0,[0,0,0]),this.useOrtho=!0,this.bounds=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]],this.axesProject=[!0,!0,!0],this.axesBounds=[[-1/0,-1/0,-1/0],[1/0,1/0,1/0]],this.highlightId=[1,1,1,1],this.highlightScale=2,this.clipBounds=[[-1/0,-1/0,-1/0],[1/0,1/0,1/0]],this.dirty=!0}t.exports=function(t){var e=t.gl,r=l.createPerspective(e),n=l.createOrtho(e),o=l.createProject(e),s=l.createPickPerspective(e),u=l.createPickOrtho(e),c=l.createPickProject(e),f=i(e),h=i(e),p=i(e),d=i(e),v=new g(e,r,n,o,f,h,p,d,a(e,[{buffer:f,size:3,type:e.FLOAT},{buffer:h,size:4,type:e.FLOAT},{buffer:p,size:2,type:e.FLOAT},{buffer:d,size:4,type:e.UNSIGNED_BYTE,normalized:!0}]),s,u,c);return v.update(t),v};var y=g.prototype;y.pickSlots=1,y.setPickBase=function(t){this.pickId=t},y.isTransparent=function(){if(this.hasAlpha)return!0;for(var t=0;t<3;++t)if(this.axesProject[t]&&this.projectHasAlpha)return!0;return!1},y.isOpaque=function(){if(!this.hasAlpha)return!0;for(var t=0;t<3;++t)if(this.axesProject[t]&&!this.projectHasAlpha)return!0;return!1};var m=[0,0],x=[0,0,0],b=[0,0,0],_=[0,0,0,1],w=[0,0,0,1],T=f.slice(),k=[0,0,0],A=[[0,0,0],[0,0,0]];function M(t){return t[0]=t[1]=t[2]=0,t}function S(t,e){return t[0]=e[0],t[1]=e[1],t[2]=e[2],t[3]=1,t}function E(t,e,r,n){return t[0]=e[0],t[1]=e[1],t[2]=e[2],t[r]=n,t}var L=[[-1e8,-1e8,-1e8],[1e8,1e8,1e8]];function C(t,e,r,n,i,a,o){var l=r.gl;if((a===r.projectHasAlpha||o)&&function(t,e,r,n){var i,a=e.axesProject,o=e.gl,l=t.uniforms,u=r.model||f,c=r.view||f,h=r.projection||f,d=e.axesBounds,v=function(t){for(var e=A,r=0;r<2;++r)for(var n=0;n<3;++n)e[r][n]=Math.max(Math.min(t[r][n],1e8),-1e8);return e}(e.clipBounds);i=e.axes&&e.axes.lastCubeProps?e.axes.lastCubeProps.axis:[1,1,1],m[0]=2/o.drawingBufferWidth,m[1]=2/o.drawingBufferHeight,t.bind(),l.view=c,l.projection=h,l.screenSize=m,l.highlightId=e.highlightId,l.highlightScale=e.highlightScale,l.clipBounds=v,l.pickGroup=e.pickId/255,l.pixelRatio=n;for(var g=0;g<3;++g)if(a[g]){l.scale=e.projectScale[g],l.opacity=e.projectOpacity[g];for(var y=T,L=0;L<16;++L)y[L]=0;for(L=0;L<4;++L)y[5*L]=1;y[5*g]=0,i[g]<0?y[12+g]=d[0][g]:y[12+g]=d[1][g],s(y,u,y),l.model=y;var C=(g+1)%3,P=(g+2)%3,O=M(x),I=M(b);O[C]=1,I[P]=1;var D=p(0,0,0,S(_,O)),z=p(0,0,0,S(w,I));if(Math.abs(D[1])>Math.abs(z[1])){var R=D;D=z,z=R,R=O,O=I,I=R;var F=C;C=P,P=F}D[0]<0&&(O[C]=-1),z[1]>0&&(I[P]=-1);var B=0,N=0;for(L=0;L<4;++L)B+=Math.pow(u[4*C+L],2),N+=Math.pow(u[4*P+L],2);O[C]/=Math.sqrt(B),I[P]/=Math.sqrt(N),l.axes[0]=O,l.axes[1]=I,l.fragClipBounds[0]=E(k,v[0],g,-1e8),l.fragClipBounds[1]=E(k,v[1],g,1e8),e.vao.bind(),e.vao.draw(o.TRIANGLES,e.vertexCount),e.lineWidth>0&&(o.lineWidth(e.lineWidth*n),e.vao.draw(o.LINES,e.lineVertexCount,e.vertexCount)),e.vao.unbind()}}(e,r,n,i),a===r.hasAlpha||o){t.bind();var u=t.uniforms;u.model=n.model||f,u.view=n.view||f,u.projection=n.projection||f,m[0]=2/l.drawingBufferWidth,m[1]=2/l.drawingBufferHeight,u.screenSize=m,u.highlightId=r.highlightId,u.highlightScale=r.highlightScale,u.fragClipBounds=L,u.clipBounds=r.axes.bounds,u.opacity=r.opacity,u.pickGroup=r.pickId/255,u.pixelRatio=i,r.vao.bind(),r.vao.draw(l.TRIANGLES,r.vertexCount),r.lineWidth>0&&(l.lineWidth(r.lineWidth*i),r.vao.draw(l.LINES,r.lineVertexCount,r.vertexCount)),r.vao.unbind()}}function P(t,e,r,i){var a;a=Array.isArray(t)?e=this.pointCount||e<0)return null;var r=this.points[e],n=this._selectResult;n.index=e;for(var i=0;i<3;++i)n.position[i]=n.dataCoordinate[i]=r[i];return n},y.highlight=function(t){if(t){var e=t.index,r=255&e,n=e>>8&255,i=e>>16&255;this.highlightId=[r/255,n/255,i/255,0]}else this.highlightId=[1,1,1,1]},y.update=function(t){if("perspective"in(t=t||{})&&(this.useOrtho=!t.perspective),"orthographic"in t&&(this.useOrtho=!!t.orthographic),"lineWidth"in t&&(this.lineWidth=t.lineWidth),"project"in t)if(Array.isArray(t.project))this.axesProject=t.project;else{var e=!!t.project;this.axesProject=[e,e,e]}if("projectScale"in t)if(Array.isArray(t.projectScale))this.projectScale=t.projectScale.slice();else{var r=+t.projectScale;this.projectScale=[r,r,r]}if(this.projectHasAlpha=!1,"projectOpacity"in t){Array.isArray(t.projectOpacity)?this.projectOpacity=t.projectOpacity.slice():(r=+t.projectOpacity,this.projectOpacity=[r,r,r]);for(var n=0;n<3;++n)this.projectOpacity[n]=v(this.projectOpacity[n]),this.projectOpacity[n]<1&&(this.projectHasAlpha=!0)}this.hasAlpha=!1,"opacity"in t&&(this.opacity=v(t.opacity),this.opacity<1&&(this.hasAlpha=!0)),this.dirty=!0;var i,a,s=t.position,l=t.font||"normal",u=t.alignment||[0,0];if(2===u.length)i=u[0],a=u[1];else for(i=[],a=[],n=0;n0){var I=0,D=x,z=[0,0,0,1],R=[0,0,0,1],F=Array.isArray(p)&&Array.isArray(p[0]),B=Array.isArray(y)&&Array.isArray(y[0]);t:for(n=0;n<_;++n){for(m+=1,w=s[n],T=0;T<3;++T){if(isNaN(w[T])||!isFinite(w[T]))continue t;f[T]=Math.max(f[T],w[T]),c[T]=Math.min(c[T],w[T])}k=(N=P(h,n,l,this.pixelRatio)).mesh,A=N.lines,M=N.bounds;var N,j=N.visible;if(j)if(Array.isArray(p)){if(3===(U=F?n0?1-M[0][0]:W<0?1+M[1][0]:1,Y*=Y>0?1-M[0][1]:Y<0?1+M[1][1]:1],Z=k.cells||[],K=k.positions||[];for(T=0;T0){var y=r*c;o.drawBox(f-y,h-y,p+y,h+y,a),o.drawBox(f-y,d-y,p+y,d+y,a),o.drawBox(f-y,h-y,f+y,d+y,a),o.drawBox(p-y,h-y,p+y,d+y,a)}}}},s.update=function(t){t=t||{},this.innerFill=!!t.innerFill,this.outerFill=!!t.outerFill,this.innerColor=(t.innerColor||[0,0,0,.5]).slice(),this.outerColor=(t.outerColor||[0,0,0,.5]).slice(),this.borderColor=(t.borderColor||[0,0,0,1]).slice(),this.borderWidth=t.borderWidth||0,this.selectBox=(t.selectBox||this.selectBox).slice()},s.dispose=function(){this.boxBuffer.dispose(),this.boxShader.dispose(),this.plot.removeOverlay(this)}},2611:function(t,e,r){"use strict";t.exports=function(t,e){var r=e[0],a=e[1];return new l(t,n(t,r,a,{}),i.mallocUint8(r*a*4))};var n=r(4234),i=r(5306),a=r(5050),o=r(2288).nextPow2;function s(t,e,r,n,i){this.coord=[t,e],this.id=r,this.value=n,this.distance=i}function l(t,e,r){this.gl=t,this.fbo=e,this.buffer=r,this._readTimeout=null;var n=this;this._readCallback=function(){n.gl&&(e.bind(),t.readPixels(0,0,e.shape[0],e.shape[1],t.RGBA,t.UNSIGNED_BYTE,n.buffer),n._readTimeout=null)}}var u=l.prototype;Object.defineProperty(u,"shape",{get:function(){return this.gl?this.fbo.shape.slice():[0,0]},set:function(t){if(this.gl){this.fbo.shape=t;var e=this.fbo.shape[0],r=this.fbo.shape[1];if(r*e*4>this.buffer.length){i.free(this.buffer);for(var n=this.buffer=i.mallocUint8(o(r*e*4)),a=0;ar)for(t=r;te)for(t=e;t=0){for(var T=0|w.type.charAt(w.type.length-1),k=new Array(T),A=0;A=0;)M+=1;_[m]=M}var S=new Array(r.length);function E(){h.program=o.program(p,h._vref,h._fref,b,_);for(var t=0;t=0){if((d=h.charCodeAt(h.length-1)-48)<2||d>4)throw new n("","Invalid data type for attribute "+f+": "+h);s(t,e,p[0],i,d,a,f)}else{if(!(h.indexOf("mat")>=0))throw new n("","Unknown data type for attribute "+f+": "+h);var d;if((d=h.charCodeAt(h.length-1)-48)<2||d>4)throw new n("","Invalid data type for attribute "+f+": "+h);l(t,e,p,i,d,a,f)}}}return a};var n=r(9068);function i(t,e,r,n,i,a){this._gl=t,this._wrapper=e,this._index=r,this._locations=n,this._dimension=i,this._constFunc=a}var a=i.prototype;a.pointer=function(t,e,r,n){var i=this,a=i._gl,o=i._locations[i._index];a.vertexAttribPointer(o,i._dimension,t||a.FLOAT,!!e,r||0,n||0),a.enableVertexAttribArray(o)},a.set=function(t,e,r,n){return this._constFunc(this._locations[this._index],t,e,r,n)},Object.defineProperty(a,"location",{get:function(){return this._locations[this._index]},set:function(t){return t!==this._locations[this._index]&&(this._locations[this._index]=0|t,this._wrapper.program=null),0|t}});var o=[function(t,e,r){return void 0===r.length?t.vertexAttrib1f(e,r):t.vertexAttrib1fv(e,r)},function(t,e,r,n){return void 0===r.length?t.vertexAttrib2f(e,r,n):t.vertexAttrib2fv(e,r)},function(t,e,r,n,i){return void 0===r.length?t.vertexAttrib3f(e,r,n,i):t.vertexAttrib3fv(e,r)},function(t,e,r,n,i,a){return void 0===r.length?t.vertexAttrib4f(e,r,n,i,a):t.vertexAttrib4fv(e,r)}];function s(t,e,r,n,a,s,l){var u=o[a],c=new i(t,e,r,n,a,u);Object.defineProperty(s,l,{set:function(e){return t.disableVertexAttribArray(n[r]),u(t,n[r],e),e},get:function(){return c},enumerable:!0})}function l(t,e,r,n,i,a,o){for(var l=new Array(i),u=new Array(i),c=0;c4)throw new i("","Invalid uniform dimension type for matrix "+name+": "+m);t["uniformMatrix"+y+"fv"](s[f],!1,h);break}throw new i("","Unknown uniform data type for "+name+": "+m)}if((y=m.charCodeAt(m.length-1)-48)<2||y>4)throw new i("","Invalid data type");switch(m.charAt(0)){case"b":case"i":t["uniform"+y+"iv"](s[f],h);break;case"v":t["uniform"+y+"fv"](s[f],h);break;default:throw new i("","Unrecognized data type for vector "+name+": "+m)}}}}}}function u(t,e){if("object"!=typeof e)return[[t,e]];var r=[];for(var n in e){var i=e[n],a=t;parseInt(n)+""===n?a+="["+n+"]":a+="."+n,"object"==typeof i?r.push.apply(r,u(a,i)):r.push([a,i])}return r}function c(t,e,n){if("object"==typeof n){var u=f(n);Object.defineProperty(t,e,{get:a(u),set:l(n),enumerable:!0,configurable:!1})}else s[n]?Object.defineProperty(t,e,{get:(c=n,function(t,e,r){return t.getUniform(e.program,r[c])}),set:l(n),enumerable:!0,configurable:!1}):t[e]=function(t){switch(t){case"bool":return!1;case"int":case"sampler2D":case"samplerCube":case"float":return 0;default:var e=t.indexOf("vec");if(0<=e&&e<=1&&t.length===4+e){if((r=t.charCodeAt(t.length-1)-48)<2||r>4)throw new i("","Invalid data type");return"b"===t.charAt(0)?o(r,!1):o(r,0)}if(0===t.indexOf("mat")&&4===t.length){var r;if((r=t.charCodeAt(t.length-1)-48)<2||r>4)throw new i("","Invalid uniform dimension type for matrix "+name+": "+t);return o(r*r,0)}throw new i("","Unknown uniform data type for "+name+": "+t)}}(r[n].type);var c}function f(t){var e;if(Array.isArray(t)){e=new Array(t.length);for(var r=0;r1){s[0]in a||(a[s[0]]=[]),a=a[s[0]];for(var l=1;l1)for(var l=0;l 0 U ||b|| > 0.\n // Assign z = 0, x = -b, y = a:\n // a*-b + b*a + c*0 = -ba + ba + 0 = 0\n if (v.x*v.x > v.z*v.z || v.y*v.y > v.z*v.z) {\n return normalize(vec3(-v.y, v.x, 0.0));\n } else {\n return normalize(vec3(0.0, v.z, -v.y));\n }\n}\n\n// Calculate the tube vertex and normal at the given index.\n//\n// The returned vertex is for a tube ring with its center at origin, radius of length(d), pointing in the direction of d.\n//\n// Each tube segment is made up of a ring of vertices.\n// These vertices are used to make up the triangles of the tube by connecting them together in the vertex array.\n// The indexes of tube segments run from 0 to 8.\n//\nvec3 getTubePosition(vec3 d, float index, out vec3 normal) {\n float segmentCount = 8.0;\n\n float angle = 2.0 * 3.14159 * (index / segmentCount);\n\n vec3 u = getOrthogonalVector(d);\n vec3 v = normalize(cross(u, d));\n\n vec3 x = u * cos(angle) * length(d);\n vec3 y = v * sin(angle) * length(d);\n vec3 v3 = x + y;\n\n normal = normalize(v3);\n\n return v3;\n}\n\nattribute vec4 vector;\nattribute vec4 color, position;\nattribute vec2 uv;\n\nuniform float vectorScale, tubeScale;\nuniform mat4 model, view, projection, inverseModel;\nuniform vec3 eyePosition, lightPosition;\n\nvarying vec3 f_normal, f_lightDirection, f_eyeDirection, f_data, f_position;\nvarying vec4 f_color;\nvarying vec2 f_uv;\n\nvoid main() {\n // Scale the vector magnitude to stay constant with\n // model & view changes.\n vec3 normal;\n vec3 XYZ = getTubePosition(mat3(model) * (tubeScale * vector.w * normalize(vector.xyz)), position.w, normal);\n vec4 tubePosition = model * vec4(position.xyz, 1.0) + vec4(XYZ, 0.0);\n\n //Lighting geometry parameters\n vec4 cameraCoordinate = view * tubePosition;\n cameraCoordinate.xyz /= cameraCoordinate.w;\n f_lightDirection = lightPosition - cameraCoordinate.xyz;\n f_eyeDirection = eyePosition - cameraCoordinate.xyz;\n f_normal = normalize((vec4(normal, 0.0) * inverseModel).xyz);\n\n // vec4 m_position = model * vec4(tubePosition, 1.0);\n vec4 t_position = view * tubePosition;\n gl_Position = projection * t_position;\n\n f_color = color;\n f_data = tubePosition.xyz;\n f_position = position.xyz;\n f_uv = uv;\n}\n"]),a=n(["#extension GL_OES_standard_derivatives : enable\n\nprecision highp float;\n#define GLSLIFY 1\n\nfloat beckmannDistribution(float x, float roughness) {\n float NdotH = max(x, 0.0001);\n float cos2Alpha = NdotH * NdotH;\n float tan2Alpha = (cos2Alpha - 1.0) / cos2Alpha;\n float roughness2 = roughness * roughness;\n float denom = 3.141592653589793 * roughness2 * cos2Alpha * cos2Alpha;\n return exp(tan2Alpha / roughness2) / denom;\n}\n\nfloat cookTorranceSpecular(\n vec3 lightDirection,\n vec3 viewDirection,\n vec3 surfaceNormal,\n float roughness,\n float fresnel) {\n\n float VdotN = max(dot(viewDirection, surfaceNormal), 0.0);\n float LdotN = max(dot(lightDirection, surfaceNormal), 0.0);\n\n //Half angle vector\n vec3 H = normalize(lightDirection + viewDirection);\n\n //Geometric term\n float NdotH = max(dot(surfaceNormal, H), 0.0);\n float VdotH = max(dot(viewDirection, H), 0.000001);\n float LdotH = max(dot(lightDirection, H), 0.000001);\n float G1 = (2.0 * NdotH * VdotN) / VdotH;\n float G2 = (2.0 * NdotH * LdotN) / LdotH;\n float G = min(1.0, min(G1, G2));\n \n //Distribution term\n float D = beckmannDistribution(NdotH, roughness);\n\n //Fresnel term\n float F = pow(1.0 - VdotN, fresnel);\n\n //Multiply terms and done\n return G * F * D / max(3.14159265 * VdotN, 0.000001);\n}\n\nbool outOfRange(float a, float b, float p) {\n return ((p > max(a, b)) || \n (p < min(a, b)));\n}\n\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\n return (outOfRange(a.x, b.x, p.x) ||\n outOfRange(a.y, b.y, p.y));\n}\n\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\n return (outOfRange(a.x, b.x, p.x) ||\n outOfRange(a.y, b.y, p.y) ||\n outOfRange(a.z, b.z, p.z));\n}\n\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\n return outOfRange(a.xyz, b.xyz, p.xyz);\n}\n\nuniform vec3 clipBounds[2];\nuniform float roughness, fresnel, kambient, kdiffuse, kspecular, opacity;\nuniform sampler2D texture;\n\nvarying vec3 f_normal, f_lightDirection, f_eyeDirection, f_data, f_position;\nvarying vec4 f_color;\nvarying vec2 f_uv;\n\nvoid main() {\n if (outOfRange(clipBounds[0], clipBounds[1], f_position)) discard;\n vec3 N = normalize(f_normal);\n vec3 L = normalize(f_lightDirection);\n vec3 V = normalize(f_eyeDirection);\n\n if(gl_FrontFacing) {\n N = -N;\n }\n\n float specular = min(1.0, max(0.0, cookTorranceSpecular(L, V, N, roughness, fresnel)));\n float diffuse = min(kambient + kdiffuse * max(dot(N, L), 0.0), 1.0);\n\n vec4 surfaceColor = f_color * texture2D(texture, f_uv);\n vec4 litColor = surfaceColor.a * vec4(diffuse * surfaceColor.rgb + kspecular * vec3(1,1,1) * specular, 1.0);\n\n gl_FragColor = litColor * opacity;\n}\n"]),o=n(["precision highp float;\n\nprecision highp float;\n#define GLSLIFY 1\n\nvec3 getOrthogonalVector(vec3 v) {\n // Return up-vector for only-z vector.\n // Return ax + by + cz = 0, a point that lies on the plane that has v as a normal and that isn't (0,0,0).\n // From the above if-statement we have ||a|| > 0 U ||b|| > 0.\n // Assign z = 0, x = -b, y = a:\n // a*-b + b*a + c*0 = -ba + ba + 0 = 0\n if (v.x*v.x > v.z*v.z || v.y*v.y > v.z*v.z) {\n return normalize(vec3(-v.y, v.x, 0.0));\n } else {\n return normalize(vec3(0.0, v.z, -v.y));\n }\n}\n\n// Calculate the tube vertex and normal at the given index.\n//\n// The returned vertex is for a tube ring with its center at origin, radius of length(d), pointing in the direction of d.\n//\n// Each tube segment is made up of a ring of vertices.\n// These vertices are used to make up the triangles of the tube by connecting them together in the vertex array.\n// The indexes of tube segments run from 0 to 8.\n//\nvec3 getTubePosition(vec3 d, float index, out vec3 normal) {\n float segmentCount = 8.0;\n\n float angle = 2.0 * 3.14159 * (index / segmentCount);\n\n vec3 u = getOrthogonalVector(d);\n vec3 v = normalize(cross(u, d));\n\n vec3 x = u * cos(angle) * length(d);\n vec3 y = v * sin(angle) * length(d);\n vec3 v3 = x + y;\n\n normal = normalize(v3);\n\n return v3;\n}\n\nattribute vec4 vector;\nattribute vec4 position;\nattribute vec4 id;\n\nuniform mat4 model, view, projection;\nuniform float tubeScale;\n\nvarying vec3 f_position;\nvarying vec4 f_id;\n\nvoid main() {\n vec3 normal;\n vec3 XYZ = getTubePosition(mat3(model) * (tubeScale * vector.w * normalize(vector.xyz)), position.w, normal);\n vec4 tubePosition = model * vec4(position.xyz, 1.0) + vec4(XYZ, 0.0);\n\n gl_Position = projection * view * tubePosition;\n f_id = id;\n f_position = position.xyz;\n}\n"]),s=n(["precision highp float;\n#define GLSLIFY 1\n\nbool outOfRange(float a, float b, float p) {\n return ((p > max(a, b)) || \n (p < min(a, b)));\n}\n\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\n return (outOfRange(a.x, b.x, p.x) ||\n outOfRange(a.y, b.y, p.y));\n}\n\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\n return (outOfRange(a.x, b.x, p.x) ||\n outOfRange(a.y, b.y, p.y) ||\n outOfRange(a.z, b.z, p.z));\n}\n\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\n return outOfRange(a.xyz, b.xyz, p.xyz);\n}\n\nuniform vec3 clipBounds[2];\nuniform float pickId;\n\nvarying vec3 f_position;\nvarying vec4 f_id;\n\nvoid main() {\n if (outOfRange(clipBounds[0], clipBounds[1], f_position)) discard;\n\n gl_FragColor = vec4(pickId, f_id.xyz);\n}"]);e.meshShader={vertex:i,fragment:a,attributes:[{name:"position",type:"vec4"},{name:"color",type:"vec4"},{name:"uv",type:"vec2"},{name:"vector",type:"vec4"}]},e.pickShader={vertex:o,fragment:s,attributes:[{name:"position",type:"vec4"},{name:"id",type:"vec4"},{name:"vector",type:"vec4"}]}},7307:function(t,e,r){"use strict";var n=r(2858),i=r(4020),a=["xyz","xzy","yxz","yzx","zxy","zyx"],o=function(t,e){var r,n=t.length;for(r=0;re)return r-1}return r},s=function(t,e,r){return tr?r:t},l=function(t){var e=1/0;t.sort((function(t,e){return t-e}));for(var r=t.length,n=1;nf-1||m>h-1||x>p-1)return n.create();var b,_,w,T,k,A,M=a[0][d],S=a[0][y],E=a[1][v],L=a[1][m],C=a[2][g],P=(l-M)/(S-M),O=(u-E)/(L-E),I=(c-C)/(a[2][x]-C);switch(isFinite(P)||(P=.5),isFinite(O)||(O=.5),isFinite(I)||(I=.5),r.reversedX&&(d=f-1-d,y=f-1-y),r.reversedY&&(v=h-1-v,m=h-1-m),r.reversedZ&&(g=p-1-g,x=p-1-x),r.filled){case 5:k=g,A=x,w=v*p,T=m*p,b=d*p*h,_=y*p*h;break;case 4:k=g,A=x,b=d*p,_=y*p,w=v*p*f,T=m*p*f;break;case 3:w=v,T=m,k=g*h,A=x*h,b=d*h*p,_=y*h*p;break;case 2:w=v,T=m,b=d*h,_=y*h,k=g*h*f,A=x*h*f;break;case 1:b=d,_=y,k=g*f,A=x*f,w=v*f*p,T=m*f*p;break;default:b=d,_=y,w=v*f,T=m*f,k=g*f*h,A=x*f*h}var D=i[b+w+k],z=i[b+w+A],R=i[b+T+k],F=i[b+T+A],B=i[_+w+k],N=i[_+w+A],j=i[_+T+k],U=i[_+T+A],V=n.create(),q=n.create(),H=n.create(),G=n.create();n.lerp(V,D,B,P),n.lerp(q,z,N,P),n.lerp(H,R,j,P),n.lerp(G,F,U,P);var W=n.create(),Y=n.create();n.lerp(W,V,H,O),n.lerp(Y,q,G,O);var X=n.create();return n.lerp(X,W,Y,I),X}(e,t,p)},v=t.getDivergence||function(t,e){var r=n.create(),i=1e-4;n.add(r,t,[i,0,0]);var a=d(r);n.subtract(a,a,e),n.scale(a,a,1/i),n.add(r,t,[0,i,0]);var o=d(r);n.subtract(o,o,e),n.scale(o,o,1/i),n.add(r,t,[0,0,i]);var s=d(r);return n.subtract(s,s,e),n.scale(s,s,1/i),n.add(r,a,o),n.add(r,r,s),r},g=[],y=e[0][0],m=e[0][1],x=e[0][2],b=e[1][0],_=e[1][1],w=e[1][2],T=function(t){var e=t[0],r=t[1],n=t[2];return!(eb||r_||nw)},k=10*n.distance(e[0],e[1])/u,A=k*k,M=1,S=0,E=r.length;E>1&&(M=function(t){for(var e=[],r=[],n=[],i={},a={},o={},s=t.length,u=0;uS&&(S=F),z.push(F),g.push({points:P,velocities:O,divergences:z});for(var B=0;B<100*u&&P.lengthA&&n.scale(N,N,k/Math.sqrt(j)),n.add(N,N,C),I=d(N),n.squaredDistance(D,N)-A>-1e-4*A&&(P.push(N),D=N,O.push(I),R=v(N,I),F=n.length(R),isFinite(F)&&F>S&&(S=F),z.push(F)),C=N}}var U=function(t,e,r,a){for(var o=0,s=0;s0)for(T=0;T<8;T++){var k=(T+1)%8;u.push(h[T],p[T],p[k],p[k],h[k],h[T]),f.push(m,y,y,y,m,m),d.push(v,g,g,g,v,v);var A=u.length;c.push([A-6,A-5,A-4],[A-3,A-2,A-1])}var M=h;h=p,p=M;var S=m;m=y,y=S;var E=v;v=g,g=E}return{positions:u,cells:c,vectors:f,vertexIntensity:d}}(t,r,a,o)})),f=[],h=[],p=[],d=[];for(s=0;s max(a, b)) || \n (p < min(a, b)));\n}\n\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\n return (outOfRange(a.x, b.x, p.x) ||\n outOfRange(a.y, b.y, p.y));\n}\n\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\n return (outOfRange(a.x, b.x, p.x) ||\n outOfRange(a.y, b.y, p.y) ||\n outOfRange(a.z, b.z, p.z));\n}\n\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\n return outOfRange(a.xyz, b.xyz, p.xyz);\n}\n\nuniform vec3 lowerBound, upperBound;\nuniform float contourTint;\nuniform vec4 contourColor;\nuniform sampler2D colormap;\nuniform vec3 clipBounds[2];\nuniform float roughness, fresnel, kambient, kdiffuse, kspecular, opacity;\nuniform float vertexColor;\n\nvarying float value, kill;\nvarying vec3 worldCoordinate;\nvarying vec3 lightDirection, eyeDirection, surfaceNormal;\nvarying vec4 vColor;\n\nvoid main() {\n if (\n kill > 0.0 ||\n vColor.a == 0.0 ||\n outOfRange(clipBounds[0], clipBounds[1], worldCoordinate)\n ) discard;\n\n vec3 N = normalize(surfaceNormal);\n vec3 V = normalize(eyeDirection);\n vec3 L = normalize(lightDirection);\n\n if(gl_FrontFacing) {\n N = -N;\n }\n\n float specular = max(beckmannSpecular(L, V, N, roughness), 0.);\n float diffuse = min(kambient + kdiffuse * max(dot(N, L), 0.0), 1.0);\n\n //decide how to interpolate color — in vertex or in fragment\n vec4 surfaceColor =\n step(vertexColor, .5) * texture2D(colormap, vec2(value, value)) +\n step(.5, vertexColor) * vColor;\n\n vec4 litColor = surfaceColor.a * vec4(diffuse * surfaceColor.rgb + kspecular * vec3(1,1,1) * specular, 1.0);\n\n gl_FragColor = mix(litColor, contourColor, contourTint) * opacity;\n}\n"]),s=i(["precision highp float;\n#define GLSLIFY 1\n\nattribute vec4 uv;\nattribute float f;\n\nuniform vec3 objectOffset;\nuniform mat3 permutation;\nuniform mat4 model, view, projection;\nuniform float height, zOffset;\nuniform sampler2D colormap;\n\nvarying float value, kill;\nvarying vec3 worldCoordinate;\nvarying vec2 planeCoordinate;\nvarying vec3 lightDirection, eyeDirection, surfaceNormal;\nvarying vec4 vColor;\n\nvoid main() {\n vec3 dataCoordinate = permutation * vec3(uv.xy, height);\n worldCoordinate = objectOffset + dataCoordinate;\n vec4 worldPosition = model * vec4(worldCoordinate, 1.0);\n\n vec4 clipPosition = projection * view * worldPosition;\n clipPosition.z += zOffset;\n\n gl_Position = clipPosition;\n value = f + objectOffset.z;\n kill = -1.0;\n planeCoordinate = uv.zw;\n\n vColor = texture2D(colormap, vec2(value, value));\n\n //Don't do lighting for contours\n surfaceNormal = vec3(1,0,0);\n eyeDirection = vec3(0,1,0);\n lightDirection = vec3(0,0,1);\n}\n"]),l=i(["precision highp float;\n#define GLSLIFY 1\n\nbool outOfRange(float a, float b, float p) {\n return ((p > max(a, b)) || \n (p < min(a, b)));\n}\n\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\n return (outOfRange(a.x, b.x, p.x) ||\n outOfRange(a.y, b.y, p.y));\n}\n\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\n return (outOfRange(a.x, b.x, p.x) ||\n outOfRange(a.y, b.y, p.y) ||\n outOfRange(a.z, b.z, p.z));\n}\n\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\n return outOfRange(a.xyz, b.xyz, p.xyz);\n}\n\nuniform vec2 shape;\nuniform vec3 clipBounds[2];\nuniform float pickId;\n\nvarying float value, kill;\nvarying vec3 worldCoordinate;\nvarying vec2 planeCoordinate;\nvarying vec3 surfaceNormal;\n\nvec2 splitFloat(float v) {\n float vh = 255.0 * v;\n float upper = floor(vh);\n float lower = fract(vh);\n return vec2(upper / 255.0, floor(lower * 16.0) / 16.0);\n}\n\nvoid main() {\n if ((kill > 0.0) ||\n (outOfRange(clipBounds[0], clipBounds[1], worldCoordinate))) discard;\n\n vec2 ux = splitFloat(planeCoordinate.x / shape.x);\n vec2 uy = splitFloat(planeCoordinate.y / shape.y);\n gl_FragColor = vec4(pickId, ux.x, uy.x, ux.y + (uy.y/16.0));\n}\n"]);e.createShader=function(t){var e=n(t,a,o,null,[{name:"uv",type:"vec4"},{name:"f",type:"vec3"},{name:"normal",type:"vec3"}]);return e.attributes.uv.location=0,e.attributes.f.location=1,e.attributes.normal.location=2,e},e.createPickShader=function(t){var e=n(t,a,l,null,[{name:"uv",type:"vec4"},{name:"f",type:"vec3"},{name:"normal",type:"vec3"}]);return e.attributes.uv.location=0,e.attributes.f.location=1,e.attributes.normal.location=2,e},e.createContourShader=function(t){var e=n(t,s,o,null,[{name:"uv",type:"vec4"},{name:"f",type:"float"}]);return e.attributes.uv.location=0,e.attributes.f.location=1,e},e.createPickContourShader=function(t){var e=n(t,s,l,null,[{name:"uv",type:"vec4"},{name:"f",type:"float"}]);return e.attributes.uv.location=0,e.attributes.f.location=1,e}},3754:function(t,e,r){"use strict";t.exports=function(t){var e=t.gl,r=m(e),n=b(e),s=x(e),l=_(e),u=i(e),c=a(e,[{buffer:u,size:4,stride:w,offset:0},{buffer:u,size:3,stride:w,offset:16},{buffer:u,size:3,stride:w,offset:28}]),f=i(e),h=a(e,[{buffer:f,size:4,stride:20,offset:0},{buffer:f,size:1,stride:20,offset:16}]),p=i(e),d=a(e,[{buffer:p,size:2,type:e.FLOAT}]),v=o(e,1,S,e.RGBA,e.UNSIGNED_BYTE);v.minFilter=e.LINEAR,v.magFilter=e.LINEAR;var g=new E(e,[0,0],[[0,0,0],[0,0,0]],r,n,u,c,v,s,l,f,h,p,d,[0,0,0]),y={levels:[[],[],[]]};for(var T in t)y[T]=t[T];return y.colormap=y.colormap||"jet",g.update(y),g};var n=r(2288),i=r(5827),a=r(2944),o=r(8931),s=r(5306),l=r(9156),u=r(7498),c=r(7382),f=r(5050),h=r(4162),p=r(104),d=r(7437),v=r(5070),g=r(9144),y=r(9054),m=y.createShader,x=y.createContourShader,b=y.createPickShader,_=y.createPickContourShader,w=40,T=[1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1],k=[[0,0],[0,1],[1,0],[1,1],[1,0],[0,1]],A=[[0,0,0,0,0,0,0,0,0],[0,0,0,0,0,0,0,0,0],[0,0,0,0,0,0,0,0,0]];function M(t,e,r,n,i){this.position=t,this.index=e,this.uv=r,this.level=n,this.dataCoordinate=i}!function(){for(var t=0;t<3;++t){var e=A[t],r=(t+2)%3;e[(t+1)%3+0]=1,e[r+3]=1,e[t+6]=1}}();var S=256;function E(t,e,r,n,i,a,o,l,u,c,h,p,d,v,g){this.gl=t,this.shape=e,this.bounds=r,this.objectOffset=g,this.intensityBounds=[],this._shader=n,this._pickShader=i,this._coordinateBuffer=a,this._vao=o,this._colorMap=l,this._contourShader=u,this._contourPickShader=c,this._contourBuffer=h,this._contourVAO=p,this._contourOffsets=[[],[],[]],this._contourCounts=[[],[],[]],this._vertexCount=0,this._pickResult=new M([0,0,0],[0,0],[0,0],[0,0,0],[0,0,0]),this._dynamicBuffer=d,this._dynamicVAO=v,this._dynamicOffsets=[0,0,0],this._dynamicCounts=[0,0,0],this.contourWidth=[1,1,1],this.contourLevels=[[1],[1],[1]],this.contourTint=[0,0,0],this.contourColor=[[.5,.5,.5,1],[.5,.5,.5,1],[.5,.5,.5,1]],this.showContour=!0,this.showSurface=!0,this.enableHighlight=[!0,!0,!0],this.highlightColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.highlightTint=[1,1,1],this.highlightLevel=[-1,-1,-1],this.enableDynamic=[!0,!0,!0],this.dynamicLevel=[NaN,NaN,NaN],this.dynamicColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.dynamicTint=[1,1,1],this.dynamicWidth=[1,1,1],this.axesBounds=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]],this.surfaceProject=[!1,!1,!1],this.contourProject=[[!1,!1,!1],[!1,!1,!1],[!1,!1,!1]],this.colorBounds=[!1,!1],this._field=[f(s.mallocFloat(1024),[0,0]),f(s.mallocFloat(1024),[0,0]),f(s.mallocFloat(1024),[0,0])],this.pickId=1,this.clipBounds=[[-1/0,-1/0,-1/0],[1/0,1/0,1/0]],this.snapToData=!1,this.pixelRatio=1,this.opacity=1,this.lightPosition=[10,1e4,0],this.ambientLight=.8,this.diffuseLight=.8,this.specularLight=2,this.roughness=.5,this.fresnel=1.5,this.vertexColor=0,this.dirty=!0}var L=E.prototype;L.genColormap=function(t,e){var r=!1,n=c([l({colormap:t,nshades:S,format:"rgba"}).map((function(t,n){var i=e?function(t,e){if(!e)return 1;if(!e.length)return 1;for(var r=0;rt&&r>0){var n=(e[r][0]-t)/(e[r][0]-e[r-1][0]);return e[r][1]*(1-n)+n*e[r-1][1]}}return 1}(n/255,e):t[3];return i<1&&(r=!0),[t[0],t[1],t[2],255*i]}))]);return u.divseq(n,255),this.hasAlphaScale=r,n},L.isTransparent=function(){return this.opacity<1||this.hasAlphaScale},L.isOpaque=function(){return!this.isTransparent()},L.pickSlots=1,L.setPickBase=function(t){this.pickId=t};var C=[0,0,0],P={showSurface:!1,showContour:!1,projections:[T.slice(),T.slice(),T.slice()],clipBounds:[[[0,0,0],[0,0,0]],[[0,0,0],[0,0,0]],[[0,0,0],[0,0,0]]]};function O(t,e){var r,n,i,a=e.axes&&e.axes.lastCubeProps.axis||C,o=e.showSurface,s=e.showContour;for(r=0;r<3;++r)for(o=o||e.surfaceProject[r],n=0;n<3;++n)s=s||e.contourProject[r][n];for(r=0;r<3;++r){var l=P.projections[r];for(n=0;n<16;++n)l[n]=0;for(n=0;n<4;++n)l[5*n]=1;l[5*r]=0,l[12+r]=e.axesBounds[+(a[r]>0)][r],p(l,t.model,l);var u=P.clipBounds[r];for(i=0;i<2;++i)for(n=0;n<3;++n)u[i][n]=t.clipBounds[i][n];u[0][r]=-1e8,u[1][r]=1e8}return P.showSurface=o,P.showContour=s,P}var I={model:T,view:T,projection:T,inverseModel:T.slice(),lowerBound:[0,0,0],upperBound:[0,0,0],colorMap:0,clipBounds:[[0,0,0],[0,0,0]],height:0,contourTint:0,contourColor:[0,0,0,1],permutation:[1,0,0,0,1,0,0,0,1],zOffset:-1e-4,objectOffset:[0,0,0],kambient:1,kdiffuse:1,kspecular:1,lightPosition:[1e3,1e3,1e3],eyePosition:[0,0,0],roughness:1,fresnel:1,opacity:1,vertexColor:0},D=T.slice(),z=[1,0,0,0,1,0,0,0,1];function R(t,e){t=t||{};var r=this.gl;r.disable(r.CULL_FACE),this._colorMap.bind(0);var n=I;n.model=t.model||T,n.view=t.view||T,n.projection=t.projection||T,n.lowerBound=[this.bounds[0][0],this.bounds[0][1],this.colorBounds[0]||this.bounds[0][2]],n.upperBound=[this.bounds[1][0],this.bounds[1][1],this.colorBounds[1]||this.bounds[1][2]],n.objectOffset=this.objectOffset,n.contourColor=this.contourColor[0],n.inverseModel=d(n.inverseModel,n.model);for(var i=0;i<2;++i)for(var a=n.clipBounds[i],o=0;o<3;++o)a[o]=Math.min(Math.max(this.clipBounds[i][o],-1e8),1e8);n.kambient=this.ambientLight,n.kdiffuse=this.diffuseLight,n.kspecular=this.specularLight,n.roughness=this.roughness,n.fresnel=this.fresnel,n.opacity=this.opacity,n.height=0,n.permutation=z,n.vertexColor=this.vertexColor;var s=D;for(p(s,n.view,n.model),p(s,n.projection,s),d(s,s),i=0;i<3;++i)n.eyePosition[i]=s[12+i]/s[15];var l=s[15];for(i=0;i<3;++i)l+=this.lightPosition[i]*s[4*i+3];for(i=0;i<3;++i){var u=s[12+i];for(o=0;o<3;++o)u+=s[4*o+i]*this.lightPosition[o];n.lightPosition[i]=u/l}var c=O(n,this);if(c.showSurface){for(this._shader.bind(),this._shader.uniforms=n,this._vao.bind(),this.showSurface&&this._vertexCount&&this._vao.draw(r.TRIANGLES,this._vertexCount),i=0;i<3;++i)this.surfaceProject[i]&&this.vertexCount&&(this._shader.uniforms.model=c.projections[i],this._shader.uniforms.clipBounds=c.clipBounds[i],this._vao.draw(r.TRIANGLES,this._vertexCount));this._vao.unbind()}if(c.showContour){var f=this._contourShader;n.kambient=1,n.kdiffuse=0,n.kspecular=0,n.opacity=1,f.bind(),f.uniforms=n;var h=this._contourVAO;for(h.bind(),i=0;i<3;++i)for(f.uniforms.permutation=A[i],r.lineWidth(this.contourWidth[i]*this.pixelRatio),o=0;o>4)/16)/255,i=Math.floor(n),a=n-i,o=e[1]*(t.value[1]+(15&t.value[2])/16)/255,s=Math.floor(o),l=o-s;i+=1,s+=1;var u=r.position;u[0]=u[1]=u[2]=0;for(var c=0;c<2;++c)for(var f=c?a:1-a,h=0;h<2;++h)for(var p=i+c,d=s+h,g=f*(h?l:1-l),y=0;y<3;++y)u[y]+=this._field[y].get(p,d)*g;for(var m=this._pickResult.level,x=0;x<3;++x)if(m[x]=v.le(this.contourLevels[x],u[x]),m[x]<0)this.contourLevels[x].length>0&&(m[x]=0);else if(m[x]Math.abs(_-u[x])&&(m[x]+=1)}for(r.index[0]=a<.5?i:i+1,r.index[1]=l<.5?s:s+1,r.uv[0]=n/e[0],r.uv[1]=o/e[1],y=0;y<3;++y)r.dataCoordinate[y]=this._field[y].get(r.index[0],r.index[1]);return r},L.padField=function(t,e){var r=e.shape.slice(),n=t.shape.slice();u.assign(t.lo(1,1).hi(r[0],r[1]),e),u.assign(t.lo(1).hi(r[0],1),e.hi(r[0],1)),u.assign(t.lo(1,n[1]-1).hi(r[0],1),e.lo(0,r[1]-1).hi(r[0],1)),u.assign(t.lo(0,1).hi(1,r[1]),e.hi(1)),u.assign(t.lo(n[0]-1,1).hi(1,r[1]),e.lo(r[0]-1)),t.set(0,0,e.get(0,0)),t.set(0,n[1]-1,e.get(0,r[1]-1)),t.set(n[0]-1,0,e.get(r[0]-1,0)),t.set(n[0]-1,n[1]-1,e.get(r[0]-1,r[1]-1))},L.update=function(t){t=t||{},this.objectOffset=t.objectOffset||this.objectOffset,this.dirty=!0,"contourWidth"in t&&(this.contourWidth=B(t.contourWidth,Number)),"showContour"in t&&(this.showContour=B(t.showContour,Boolean)),"showSurface"in t&&(this.showSurface=!!t.showSurface),"contourTint"in t&&(this.contourTint=B(t.contourTint,Boolean)),"contourColor"in t&&(this.contourColor=j(t.contourColor)),"contourProject"in t&&(this.contourProject=B(t.contourProject,(function(t){return B(t,Boolean)}))),"surfaceProject"in t&&(this.surfaceProject=t.surfaceProject),"dynamicColor"in t&&(this.dynamicColor=j(t.dynamicColor)),"dynamicTint"in t&&(this.dynamicTint=B(t.dynamicTint,Number)),"dynamicWidth"in t&&(this.dynamicWidth=B(t.dynamicWidth,Number)),"opacity"in t&&(this.opacity=t.opacity),"opacityscale"in t&&(this.opacityscale=t.opacityscale),"colorBounds"in t&&(this.colorBounds=t.colorBounds),"vertexColor"in t&&(this.vertexColor=t.vertexColor?1:0),"colormap"in t&&this._colorMap.setPixels(this.genColormap(t.colormap,this.opacityscale));var e=t.field||t.coords&&t.coords[2]||null,r=!1;if(e||(e=this._field[2].shape[0]||this._field[2].shape[2]?this._field[2].lo(1,1).hi(this._field[2].shape[0]-2,this._field[2].shape[1]-2):this._field[2].hi(0,0)),"field"in t||"coords"in t){var i=(e.shape[0]+2)*(e.shape[1]+2);i>this._field[2].data.length&&(s.freeFloat(this._field[2].data),this._field[2].data=s.mallocFloat(n.nextPow2(i))),this._field[2]=f(this._field[2].data,[e.shape[0]+2,e.shape[1]+2]),this.padField(this._field[2],e),this.shape=e.shape.slice();for(var a=this.shape,o=0;o<2;++o)this._field[2].size>this._field[o].data.length&&(s.freeFloat(this._field[o].data),this._field[o].data=s.mallocFloat(this._field[2].size)),this._field[o]=f(this._field[o].data,[a[0]+2,a[1]+2]);if(t.coords){var l=t.coords;if(!Array.isArray(l)||3!==l.length)throw new Error("gl-surface: invalid coordinates for x/y");for(o=0;o<2;++o){var u=l[o];for(y=0;y<2;++y)if(u.shape[y]!==a[y])throw new Error("gl-surface: coords have incorrect shape");this.padField(this._field[o],u)}}else if(t.ticks){var c=t.ticks;if(!Array.isArray(c)||2!==c.length)throw new Error("gl-surface: invalid ticks");for(o=0;o<2;++o){var p=c[o];if((Array.isArray(p)||p.length)&&(p=f(p)),p.shape[0]!==a[o])throw new Error("gl-surface: invalid tick length");var d=f(p.data,a);d.stride[o]=p.stride[0],d.stride[1^o]=0,this.padField(this._field[o],d)}}else{for(o=0;o<2;++o){var v=[0,0];v[o]=1,this._field[o]=f(this._field[o].data,[a[0]+2,a[1]+2],v,0)}this._field[0].set(0,0,0);for(var y=0;y0){for(var xt=0;xt<5;++xt)$.pop();U-=1}continue t}$.push(nt[0],nt[1],ot[0],ot[1],nt[2]),U+=1}}rt.push(U)}this._contourOffsets[Q]=et,this._contourCounts[Q]=rt}var bt=s.mallocFloat($.length);for(o=0;o<$.length;++o)bt[o]=$[o];this._contourBuffer.update(bt),s.freeFloat(bt)}},L.dispose=function(){this._shader.dispose(),this._vao.dispose(),this._coordinateBuffer.dispose(),this._colorMap.dispose(),this._contourBuffer.dispose(),this._contourVAO.dispose(),this._contourShader.dispose(),this._contourPickShader.dispose(),this._dynamicBuffer.dispose(),this._dynamicVAO.dispose();for(var t=0;t<3;++t)s.freeFloat(this._field[t].data)},L.highlight=function(t){var e,r;if(!t)return this._dynamicCounts=[0,0,0],this.dyanamicLevel=[NaN,NaN,NaN],void(this.highlightLevel=[-1,-1,-1]);for(e=0;e<3;++e)this.enableHighlight[e]?this.highlightLevel[e]=t.level[e]:this.highlightLevel[e]=-1;for(r=this.snapToData?t.dataCoordinate:t.position,e=0;e<3;++e)r[e]-=this.objectOffset[e];if(this.enableDynamic[0]&&r[0]!==this.dynamicLevel[0]||this.enableDynamic[1]&&r[1]!==this.dynamicLevel[1]||this.enableDynamic[2]&&r[2]!==this.dynamicLevel[2]){for(var n=0,i=this.shape,a=s.mallocFloat(12*i[0]*i[1]),o=0;o<3;++o)if(this.enableDynamic[o]){this.dynamicLevel[o]=r[o];var l=(o+1)%3,u=(o+2)%3,c=this._field[o],f=this._field[l],p=this._field[u],d=h(c,r[o]),v=d.cells,g=d.positions;for(this._dynamicOffsets[o]=n,e=0;es||o[1]<0||o[1]>s)throw new Error("gl-texture2d: Invalid texture size");var l=d(o,e.stride.slice()),u=0;"float32"===r?u=t.FLOAT:"float64"===r?(u=t.FLOAT,l=!1,r="float32"):"uint8"===r?u=t.UNSIGNED_BYTE:(u=t.UNSIGNED_BYTE,l=!1,r="uint8");var f,p,g=0;if(2===o.length)g=t.LUMINANCE,o=[o[0],o[1],1],e=n(e.data,o,[e.stride[0],e.stride[1],1],e.offset);else{if(3!==o.length)throw new Error("gl-texture2d: Invalid shape for texture");if(1===o[2])g=t.ALPHA;else if(2===o[2])g=t.LUMINANCE_ALPHA;else if(3===o[2])g=t.RGB;else{if(4!==o[2])throw new Error("gl-texture2d: Invalid shape for pixel coords");g=t.RGBA}}u!==t.FLOAT||t.getExtension("OES_texture_float")||(u=t.UNSIGNED_BYTE,l=!1);var y=e.size;if(l)f=0===e.offset&&e.data.length===y?e.data:e.data.subarray(e.offset,e.offset+y);else{var m=[o[2],o[2]*o[0],1];p=a.malloc(y,r);var x=n(p,o,m,0);"float32"!==r&&"float64"!==r||u!==t.UNSIGNED_BYTE?i.assign(x,e):c(x,e),f=p.subarray(0,y)}var b=v(t);return t.texImage2D(t.TEXTURE_2D,0,g,o[0],o[1],0,g,u,f),l||a.free(p),new h(t,b,o[0],o[1],g,u)}(t,e)}throw new Error("gl-texture2d: Invalid arguments for texture2d constructor")};var o=null,s=null,l=null;function u(t){return"undefined"!=typeof HTMLCanvasElement&&t instanceof HTMLCanvasElement||"undefined"!=typeof HTMLImageElement&&t instanceof HTMLImageElement||"undefined"!=typeof HTMLVideoElement&&t instanceof HTMLVideoElement||"undefined"!=typeof ImageData&&t instanceof ImageData}var c=function(t,e){i.muls(t,e,255)};function f(t,e,r){var n=t.gl,i=n.getParameter(n.MAX_TEXTURE_SIZE);if(e<0||e>i||r<0||r>i)throw new Error("gl-texture2d: Invalid texture size");return t._shape=[e,r],t.bind(),n.texImage2D(n.TEXTURE_2D,0,t.format,e,r,0,t.format,t.type,null),t._mipLevels=[0],t}function h(t,e,r,n,i,a){this.gl=t,this.handle=e,this.format=i,this.type=a,this._shape=[r,n],this._mipLevels=[0],this._magFilter=t.NEAREST,this._minFilter=t.NEAREST,this._wrapS=t.CLAMP_TO_EDGE,this._wrapT=t.CLAMP_TO_EDGE,this._anisoSamples=1;var o=this,s=[this._wrapS,this._wrapT];Object.defineProperties(s,[{get:function(){return o._wrapS},set:function(t){return o.wrapS=t}},{get:function(){return o._wrapT},set:function(t){return o.wrapT=t}}]),this._wrapVector=s;var l=[this._shape[0],this._shape[1]];Object.defineProperties(l,[{get:function(){return o._shape[0]},set:function(t){return o.width=t}},{get:function(){return o._shape[1]},set:function(t){return o.height=t}}]),this._shapeVector=l}var p=h.prototype;function d(t,e){return 3===t.length?1===e[2]&&e[1]===t[0]*t[2]&&e[0]===t[2]:1===e[0]&&e[1]===t[0]}function v(t){var e=t.createTexture();return t.bindTexture(t.TEXTURE_2D,e),t.texParameteri(t.TEXTURE_2D,t.TEXTURE_MIN_FILTER,t.NEAREST),t.texParameteri(t.TEXTURE_2D,t.TEXTURE_MAG_FILTER,t.NEAREST),t.texParameteri(t.TEXTURE_2D,t.TEXTURE_WRAP_S,t.CLAMP_TO_EDGE),t.texParameteri(t.TEXTURE_2D,t.TEXTURE_WRAP_T,t.CLAMP_TO_EDGE),e}function g(t,e,r,n,i){var a=t.getParameter(t.MAX_TEXTURE_SIZE);if(e<0||e>a||r<0||r>a)throw new Error("gl-texture2d: Invalid texture shape");if(i===t.FLOAT&&!t.getExtension("OES_texture_float"))throw new Error("gl-texture2d: Floating point textures not supported on this platform");var o=v(t);return t.texImage2D(t.TEXTURE_2D,0,n,e,r,0,n,i,null),new h(t,o,e,r,n,i)}Object.defineProperties(p,{minFilter:{get:function(){return this._minFilter},set:function(t){this.bind();var e=this.gl;if(this.type===e.FLOAT&&o.indexOf(t)>=0&&(e.getExtension("OES_texture_float_linear")||(t=e.NEAREST)),s.indexOf(t)<0)throw new Error("gl-texture2d: Unknown filter mode "+t);return e.texParameteri(e.TEXTURE_2D,e.TEXTURE_MIN_FILTER,t),this._minFilter=t}},magFilter:{get:function(){return this._magFilter},set:function(t){this.bind();var e=this.gl;if(this.type===e.FLOAT&&o.indexOf(t)>=0&&(e.getExtension("OES_texture_float_linear")||(t=e.NEAREST)),s.indexOf(t)<0)throw new Error("gl-texture2d: Unknown filter mode "+t);return e.texParameteri(e.TEXTURE_2D,e.TEXTURE_MAG_FILTER,t),this._magFilter=t}},mipSamples:{get:function(){return this._anisoSamples},set:function(t){var e=this._anisoSamples;if(this._anisoSamples=0|Math.max(t,1),e!==this._anisoSamples){var r=this.gl.getExtension("EXT_texture_filter_anisotropic");r&&this.gl.texParameterf(this.gl.TEXTURE_2D,r.TEXTURE_MAX_ANISOTROPY_EXT,this._anisoSamples)}return this._anisoSamples}},wrapS:{get:function(){return this._wrapS},set:function(t){if(this.bind(),l.indexOf(t)<0)throw new Error("gl-texture2d: Unknown wrap mode "+t);return this.gl.texParameteri(this.gl.TEXTURE_2D,this.gl.TEXTURE_WRAP_S,t),this._wrapS=t}},wrapT:{get:function(){return this._wrapT},set:function(t){if(this.bind(),l.indexOf(t)<0)throw new Error("gl-texture2d: Unknown wrap mode "+t);return this.gl.texParameteri(this.gl.TEXTURE_2D,this.gl.TEXTURE_WRAP_T,t),this._wrapT=t}},wrap:{get:function(){return this._wrapVector},set:function(t){if(Array.isArray(t)||(t=[t,t]),2!==t.length)throw new Error("gl-texture2d: Must specify wrap mode for rows and columns");for(var e=0;e<2;++e)if(l.indexOf(t[e])<0)throw new Error("gl-texture2d: Unknown wrap mode "+t);this._wrapS=t[0],this._wrapT=t[1];var r=this.gl;return this.bind(),r.texParameteri(r.TEXTURE_2D,r.TEXTURE_WRAP_S,this._wrapS),r.texParameteri(r.TEXTURE_2D,r.TEXTURE_WRAP_T,this._wrapT),t}},shape:{get:function(){return this._shapeVector},set:function(t){if(Array.isArray(t)){if(2!==t.length)throw new Error("gl-texture2d: Invalid texture shape")}else t=[0|t,0|t];return f(this,0|t[0],0|t[1]),[0|t[0],0|t[1]]}},width:{get:function(){return this._shape[0]},set:function(t){return f(this,t|=0,this._shape[1]),t}},height:{get:function(){return this._shape[1]},set:function(t){return t|=0,f(this,this._shape[0],t),t}}}),p.bind=function(t){var e=this.gl;return void 0!==t&&e.activeTexture(e.TEXTURE0+(0|t)),e.bindTexture(e.TEXTURE_2D,this.handle),void 0!==t?0|t:e.getParameter(e.ACTIVE_TEXTURE)-e.TEXTURE0},p.dispose=function(){this.gl.deleteTexture(this.handle)},p.generateMipmap=function(){this.bind(),this.gl.generateMipmap(this.gl.TEXTURE_2D);for(var t=Math.min(this._shape[0],this._shape[1]),e=0;t>0;++e,t>>>=1)this._mipLevels.indexOf(e)<0&&this._mipLevels.push(e)},p.setPixels=function(t,e,r,o){var s=this.gl;this.bind(),Array.isArray(e)?(o=r,r=0|e[1],e=0|e[0]):(e=e||0,r=r||0),o=o||0;var l=u(t)?t:t.raw;if(l)this._mipLevels.indexOf(o)<0?(s.texImage2D(s.TEXTURE_2D,0,this.format,this.format,this.type,l),this._mipLevels.push(o)):s.texSubImage2D(s.TEXTURE_2D,o,e,r,this.format,this.type,l);else{if(!(t.shape&&t.stride&&t.data))throw new Error("gl-texture2d: Unsupported data type");if(t.shape.length<2||e+t.shape[1]>this._shape[1]>>>o||r+t.shape[0]>this._shape[0]>>>o||e<0||r<0)throw new Error("gl-texture2d: Texture dimensions are out of bounds");!function(t,e,r,o,s,l,u,f){var h=f.dtype,p=f.shape.slice();if(p.length<2||p.length>3)throw new Error("gl-texture2d: Invalid ndarray, must be 2d or 3d");var v=0,g=0,y=d(p,f.stride.slice());if("float32"===h?v=t.FLOAT:"float64"===h?(v=t.FLOAT,y=!1,h="float32"):"uint8"===h?v=t.UNSIGNED_BYTE:(v=t.UNSIGNED_BYTE,y=!1,h="uint8"),2===p.length)g=t.LUMINANCE,p=[p[0],p[1],1],f=n(f.data,p,[f.stride[0],f.stride[1],1],f.offset);else{if(3!==p.length)throw new Error("gl-texture2d: Invalid shape for texture");if(1===p[2])g=t.ALPHA;else 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L=_*r[a]+w*h[a]+T*e[a];E[4*a+1]=k*r[a]+A*h[a]+M*e[a],E[4*a+2]=L,E[4*a+3]=0}var C=E[1],P=E[5],O=E[9],I=E[2],D=E[6],z=E[10],R=P*z-O*D,F=O*I-C*z,B=C*D-P*I,N=u(R,F,B);for(R/=N,F/=N,B/=N,E[0]=R,E[4]=F,E[8]=B,a=0;a<3;++a)S[a]=b[a]+E[2+4*a]*p;for(a=0;a<3;++a){c=0;for(var j=0;j<3;++j)c+=E[a+4*j]*S[j];E[12+a]=-c}E[15]=1},p.getMatrix=function(t,e){this.recalcMatrix(t);var r=this.computedMatrix;if(e){for(var n=0;n<16;++n)e[n]=r[n];return e}return r};var d=[0,0,0];p.rotate=function(t,e,r,n){if(this.angle.move(t,e,r),n){this.recalcMatrix(t);var i=this.computedMatrix;d[0]=i[2],d[1]=i[6],d[2]=i[10];for(var o=this.computedUp,s=this.computedRight,l=this.computedToward,u=0;u<3;++u)i[4*u]=o[u],i[4*u+1]=s[u],i[4*u+2]=l[u];for(a(i,i,n,d),u=0;u<3;++u)o[u]=i[4*u],s[u]=i[4*u+1];this.up.set(t,o[0],o[1],o[2]),this.right.set(t,s[0],s[1],s[2])}},p.pan=function(t,e,r,n){e=e||0,r=r||0,n=n||0,this.recalcMatrix(t);var 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this.uint16[f+0]=e,this.uint16[f+1]=r,this.uint16[f+2]=n,this.uint16[f+3]=i,this.uint16[f+4]=a,this.uint16[f+5]=o,this.uint16[f+6]=s,this.uint16[f+7]=l,this.uint16[f+8]=u,this.uint16[f+9]=c,t},e}(Qi);sa.prototype.bytesPerElement=20,oi("StructArrayLayout10ui20",sa);var la=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.int16=new Int16Array(this.arrayBuffer),this.uint16=new Uint16Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r,n,i,a,o,s,l,u,c,f){var h=this.length;return this.resize(h+1),this.emplace(h,t,e,r,n,i,a,o,s,l,u,c,f)},e.prototype.emplace=function(t,e,r,n,i,a,o,s,l,u,c,f,h){var p=12*t;return this.int16[p+0]=e,this.int16[p+1]=r,this.int16[p+2]=n,this.int16[p+3]=i,this.uint16[p+4]=a,this.uint16[p+5]=o,this.uint16[p+6]=s,this.uint16[p+7]=l,this.int16[p+8]=u,this.int16[p+9]=c,this.int16[p+10]=f,this.int16[p+11]=h,t},e}(Qi);la.prototype.bytesPerElement=24,oi("StructArrayLayout4i4ui4i24",la);var ua=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.float32=new Float32Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r){var n=this.length;return this.resize(n+1),this.emplace(n,t,e,r)},e.prototype.emplace=function(t,e,r,n){var i=3*t;return this.float32[i+0]=e,this.float32[i+1]=r,this.float32[i+2]=n,t},e}(Qi);ua.prototype.bytesPerElement=12,oi("StructArrayLayout3f12",ua);var ca=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.uint32=new Uint32Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t){var e=this.length;return this.resize(e+1),this.emplace(e,t)},e.prototype.emplace=function(t,e){var r=1*t;return this.uint32[r+0]=e,t},e}(Qi);ca.prototype.bytesPerElement=4,oi("StructArrayLayout1ul4",ca);var fa=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.int16=new Int16Array(this.arrayBuffer),this.uint32=new Uint32Array(this.arrayBuffer),this.uint16=new Uint16Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r,n,i,a,o,s,l){var u=this.length;return this.resize(u+1),this.emplace(u,t,e,r,n,i,a,o,s,l)},e.prototype.emplace=function(t,e,r,n,i,a,o,s,l,u){var c=10*t,f=5*t;return this.int16[c+0]=e,this.int16[c+1]=r,this.int16[c+2]=n,this.int16[c+3]=i,this.int16[c+4]=a,this.int16[c+5]=o,this.uint32[f+3]=s,this.uint16[c+8]=l,this.uint16[c+9]=u,t},e}(Qi);fa.prototype.bytesPerElement=20,oi("StructArrayLayout6i1ul2ui20",fa);var ha=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.int16=new Int16Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r,n,i,a){var o=this.length;return this.resize(o+1),this.emplace(o,t,e,r,n,i,a)},e.prototype.emplace=function(t,e,r,n,i,a,o){var s=6*t;return this.int16[s+0]=e,this.int16[s+1]=r,this.int16[s+2]=n,this.int16[s+3]=i,this.int16[s+4]=a,this.int16[s+5]=o,t},e}(Qi);ha.prototype.bytesPerElement=12,oi("StructArrayLayout2i2i2i12",ha);var pa=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.float32=new Float32Array(this.arrayBuffer),this.int16=new Int16Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r,n,i){var a=this.length;return this.resize(a+1),this.emplace(a,t,e,r,n,i)},e.prototype.emplace=function(t,e,r,n,i,a){var o=4*t,s=8*t;return this.float32[o+0]=e,this.float32[o+1]=r,this.float32[o+2]=n,this.int16[s+6]=i,this.int16[s+7]=a,t},e}(Qi);pa.prototype.bytesPerElement=16,oi("StructArrayLayout2f1f2i16",pa);var da=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.float32=new Float32Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r,n){var i=this.length;return this.resize(i+1),this.emplace(i,t,e,r,n)},e.prototype.emplace=function(t,e,r,n,i){var a=12*t,o=3*t;return this.uint8[a+0]=e,this.uint8[a+1]=r,this.float32[o+1]=n,this.float32[o+2]=i,t},e}(Qi);da.prototype.bytesPerElement=12,oi("StructArrayLayout2ub2f12",da);var va=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.uint16=new Uint16Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r){var n=this.length;return this.resize(n+1),this.emplace(n,t,e,r)},e.prototype.emplace=function(t,e,r,n){var i=3*t;return this.uint16[i+0]=e,this.uint16[i+1]=r,this.uint16[i+2]=n,t},e}(Qi);va.prototype.bytesPerElement=6,oi("StructArrayLayout3ui6",va);var ga=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.int16=new Int16Array(this.arrayBuffer),this.uint16=new Uint16Array(this.arrayBuffer),this.uint32=new Uint32Array(this.arrayBuffer),this.float32=new Float32Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r,n,i,a,o,s,l,u,c,f,h,p,d,v,g){var y=this.length;return this.resize(y+1),this.emplace(y,t,e,r,n,i,a,o,s,l,u,c,f,h,p,d,v,g)},e.prototype.emplace=function(t,e,r,n,i,a,o,s,l,u,c,f,h,p,d,v,g,y){var m=24*t,x=12*t,b=48*t;return this.int16[m+0]=e,this.int16[m+1]=r,this.uint16[m+2]=n,this.uint16[m+3]=i,this.uint32[x+2]=a,this.uint32[x+3]=o,this.uint32[x+4]=s,this.uint16[m+10]=l,this.uint16[m+11]=u,this.uint16[m+12]=c,this.float32[x+7]=f,this.float32[x+8]=h,this.uint8[b+36]=p,this.uint8[b+37]=d,this.uint8[b+38]=v,this.uint32[x+10]=g,this.int16[m+22]=y,t},e}(Qi);ga.prototype.bytesPerElement=48,oi("StructArrayLayout2i2ui3ul3ui2f3ub1ul1i48",ga);var ya=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.int16=new Int16Array(this.arrayBuffer),this.uint16=new Uint16Array(this.arrayBuffer),this.uint32=new Uint32Array(this.arrayBuffer),this.float32=new Float32Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r,n,i,a,o,s,l,u,c,f,h,p,d,v,g,y,m,x,b,_,w,T,k,A,M,S){var E=this.length;return this.resize(E+1),this.emplace(E,t,e,r,n,i,a,o,s,l,u,c,f,h,p,d,v,g,y,m,x,b,_,w,T,k,A,M,S)},e.prototype.emplace=function(t,e,r,n,i,a,o,s,l,u,c,f,h,p,d,v,g,y,m,x,b,_,w,T,k,A,M,S,E){var L=34*t,C=17*t;return this.int16[L+0]=e,this.int16[L+1]=r,this.int16[L+2]=n,this.int16[L+3]=i,this.int16[L+4]=a,this.int16[L+5]=o,this.int16[L+6]=s,this.int16[L+7]=l,this.uint16[L+8]=u,this.uint16[L+9]=c,this.uint16[L+10]=f,this.uint16[L+11]=h,this.uint16[L+12]=p,this.uint16[L+13]=d,this.uint16[L+14]=v,this.uint16[L+15]=g,this.uint16[L+16]=y,this.uint16[L+17]=m,this.uint16[L+18]=x,this.uint16[L+19]=b,this.uint16[L+20]=_,this.uint16[L+21]=w,this.uint16[L+22]=T,this.uint32[C+12]=k,this.float32[C+13]=A,this.float32[C+14]=M,this.float32[C+15]=S,this.float32[C+16]=E,t},e}(Qi);ya.prototype.bytesPerElement=68,oi("StructArrayLayout8i15ui1ul4f68",ya);var ma=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.float32=new Float32Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t){var e=this.length;return this.resize(e+1),this.emplace(e,t)},e.prototype.emplace=function(t,e){var r=1*t;return this.float32[r+0]=e,t},e}(Qi);ma.prototype.bytesPerElement=4,oi("StructArrayLayout1f4",ma);var xa=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.int16=new Int16Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r){var n=this.length;return this.resize(n+1),this.emplace(n,t,e,r)},e.prototype.emplace=function(t,e,r,n){var i=3*t;return this.int16[i+0]=e,this.int16[i+1]=r,this.int16[i+2]=n,t},e}(Qi);xa.prototype.bytesPerElement=6,oi("StructArrayLayout3i6",xa);var ba=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.uint32=new Uint32Array(this.arrayBuffer),this.uint16=new Uint16Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r){var n=this.length;return this.resize(n+1),this.emplace(n,t,e,r)},e.prototype.emplace=function(t,e,r,n){var i=2*t,a=4*t;return this.uint32[i+0]=e,this.uint16[a+2]=r,this.uint16[a+3]=n,t},e}(Qi);ba.prototype.bytesPerElement=8,oi("StructArrayLayout1ul2ui8",ba);var _a=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.uint16=new Uint16Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e){var r=this.length;return this.resize(r+1),this.emplace(r,t,e)},e.prototype.emplace=function(t,e,r){var n=2*t;return this.uint16[n+0]=e,this.uint16[n+1]=r,t},e}(Qi);_a.prototype.bytesPerElement=4,oi("StructArrayLayout2ui4",_a);var wa=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.uint16=new Uint16Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t){var e=this.length;return this.resize(e+1),this.emplace(e,t)},e.prototype.emplace=function(t,e){var r=1*t;return this.uint16[r+0]=e,t},e}(Qi);wa.prototype.bytesPerElement=2,oi("StructArrayLayout1ui2",wa);var Ta=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.float32=new Float32Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r,n){var i=this.length;return this.resize(i+1),this.emplace(i,t,e,r,n)},e.prototype.emplace=function(t,e,r,n,i){var a=4*t;return this.float32[a+0]=e,this.float32[a+1]=r,this.float32[a+2]=n,this.float32[a+3]=i,t},e}(Qi);Ta.prototype.bytesPerElement=16,oi("StructArrayLayout4f16",Ta);var ka=function(t){function e(){t.apply(this,arguments)}t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e;var r={anchorPointX:{configurable:!0},anchorPointY:{configurable:!0},x1:{configurable:!0},y1:{configurable:!0},x2:{configurable:!0},y2:{configurable:!0},featureIndex:{configurable:!0},sourceLayerIndex:{configurable:!0},bucketIndex:{configurable:!0},anchorPoint:{configurable:!0}};return r.anchorPointX.get=function(){return this._structArray.int16[this._pos2+0]},r.anchorPointY.get=function(){return this._structArray.int16[this._pos2+1]},r.x1.get=function(){return this._structArray.int16[this._pos2+2]},r.y1.get=function(){return this._structArray.int16[this._pos2+3]},r.x2.get=function(){return this._structArray.int16[this._pos2+4]},r.y2.get=function(){return this._structArray.int16[this._pos2+5]},r.featureIndex.get=function(){return this._structArray.uint32[this._pos4+3]},r.sourceLayerIndex.get=function(){return this._structArray.uint16[this._pos2+8]},r.bucketIndex.get=function(){return this._structArray.uint16[this._pos2+9]},r.anchorPoint.get=function(){return new a(this.anchorPointX,this.anchorPointY)},Object.defineProperties(e.prototype,r),e}($i);ka.prototype.size=20;var Aa=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.get=function(t){return new ka(this,t)},e}(fa);oi("CollisionBoxArray",Aa);var Ma=function(t){function e(){t.apply(this,arguments)}t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e;var r={anchorX:{configurable:!0},anchorY:{configurable:!0},glyphStartIndex:{configurable:!0},numGlyphs:{configurable:!0},vertexStartIndex:{configurable:!0},lineStartIndex:{configurable:!0},lineLength:{configurable:!0},segment:{configurable:!0},lowerSize:{configurable:!0},upperSize:{configurable:!0},lineOffsetX:{configurable:!0},lineOffsetY:{configurable:!0},writingMode:{configurable:!0},placedOrientation:{configurable:!0},hidden:{configurable:!0},crossTileID:{configurable:!0},associatedIconIndex:{configurable:!0}};return r.anchorX.get=function(){return this._structArray.int16[this._pos2+0]},r.anchorY.get=function(){return this._structArray.int16[this._pos2+1]},r.glyphStartIndex.get=function(){return this._structArray.uint16[this._pos2+2]},r.numGlyphs.get=function(){return this._structArray.uint16[this._pos2+3]},r.vertexStartIndex.get=function(){return this._structArray.uint32[this._pos4+2]},r.lineStartIndex.get=function(){return this._structArray.uint32[this._pos4+3]},r.lineLength.get=function(){return this._structArray.uint32[this._pos4+4]},r.segment.get=function(){return this._structArray.uint16[this._pos2+10]},r.lowerSize.get=function(){return this._structArray.uint16[this._pos2+11]},r.upperSize.get=function(){return this._structArray.uint16[this._pos2+12]},r.lineOffsetX.get=function(){return this._structArray.float32[this._pos4+7]},r.lineOffsetY.get=function(){return this._structArray.float32[this._pos4+8]},r.writingMode.get=function(){return this._structArray.uint8[this._pos1+36]},r.placedOrientation.get=function(){return this._structArray.uint8[this._pos1+37]},r.placedOrientation.set=function(t){this._structArray.uint8[this._pos1+37]=t},r.hidden.get=function(){return this._structArray.uint8[this._pos1+38]},r.hidden.set=function(t){this._structArray.uint8[this._pos1+38]=t},r.crossTileID.get=function(){return this._structArray.uint32[this._pos4+10]},r.crossTileID.set=function(t){this._structArray.uint32[this._pos4+10]=t},r.associatedIconIndex.get=function(){return this._structArray.int16[this._pos2+22]},Object.defineProperties(e.prototype,r),e}($i);Ma.prototype.size=48;var Sa=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.get=function(t){return new Ma(this,t)},e}(ga);oi("PlacedSymbolArray",Sa);var Ea=function(t){function e(){t.apply(this,arguments)}t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e;var r={anchorX:{configurable:!0},anchorY:{configurable:!0},rightJustifiedTextSymbolIndex:{configurable:!0},centerJustifiedTextSymbolIndex:{configurable:!0},leftJustifiedTextSymbolIndex:{configurable:!0},verticalPlacedTextSymbolIndex:{configurable:!0},placedIconSymbolIndex:{configurable:!0},verticalPlacedIconSymbolIndex:{configurable:!0},key:{configurable:!0},textBoxStartIndex:{configurable:!0},textBoxEndIndex:{configurable:!0},verticalTextBoxStartIndex:{configurable:!0},verticalTextBoxEndIndex:{configurable:!0},iconBoxStartIndex:{configurable:!0},iconBoxEndIndex:{configurable:!0},verticalIconBoxStartIndex:{configurable:!0},verticalIconBoxEndIndex:{configurable:!0},featureIndex:{configurable:!0},numHorizontalGlyphVertices:{configurable:!0},numVerticalGlyphVertices:{configurable:!0},numIconVertices:{configurable:!0},numVerticalIconVertices:{configurable:!0},useRuntimeCollisionCircles:{configurable:!0},crossTileID:{configurable:!0},textBoxScale:{configurable:!0},textOffset0:{configurable:!0},textOffset1:{configurable:!0},collisionCircleDiameter:{configurable:!0}};return 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L=Uu(h,y,v),C=Uu(p,m,g),P=0;P0&&(d=Math.max(10,d),this.circleDiameter=d)}else{var v=o.top*s-l,g=o.bottom*s+l,y=o.left*s-l,m=o.right*s+l,x=o.collisionPadding;if(x&&(y-=x[0]*s,v-=x[1]*s,m+=x[2]*s,g+=x[3]*s),c){var b=new a(y,v),_=new a(m,v),w=new a(y,g),T=new a(m,g),k=c*Math.PI/180;b._rotate(k),_._rotate(k),w._rotate(k),T._rotate(k),y=Math.min(b.x,_.x,w.x,T.x),m=Math.max(b.x,_.x,w.x,T.x),v=Math.min(b.y,_.y,w.y,T.y),g=Math.max(b.y,_.y,w.y,T.y)}t.emplaceBack(e.x,e.y,y,v,m,g,r,n,i)}this.boxEndIndex=t.length},Gu=function(t,e){if(void 0===t&&(t=[]),void 0===e&&(e=Wu),this.data=t,this.length=this.data.length,this.compare=e,this.length>0)for(var r=(this.length>>1)-1;r>=0;r--)this._down(r)};function Wu(t,e){return te?1:0}function Yu(t,e,r){void 0===e&&(e=1),void 0===r&&(r=!1);for(var n=1/0,i=1/0,o=-1/0,s=-1/0,l=t[0],u=0;uo)&&(o=c.x),(!u||c.y>s)&&(s=c.y)}var f=o-n,h=s-i,p=Math.min(f,h),d=p/2,v=new Gu([],Xu);if(0===p)return new a(n,i);for(var g=n;gm.d||!m.d)&&(m=b,r&&console.log("found best %d 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i=t-1>>1,a=e[i];if(r(n,a)>=0)break;e[t]=a,t=i}e[t]=n},Gu.prototype._down=function(t){for(var e=this.data,r=this.compare,n=this.length>>1,i=e[t];t=0)break;e[t]=o,t=a}e[t]=i};var Ku=7,Ju=Number.POSITIVE_INFINITY;function $u(t,e){return e[1]!==Ju?function(t,e,r){var n=0,i=0;switch(e=Math.abs(e),r=Math.abs(r),t){case"top-right":case"top-left":case"top":i=r-Ku;break;case"bottom-right":case"bottom-left":case"bottom":i=-r+Ku}switch(t){case"top-right":case"bottom-right":case"right":n=-e;break;case"top-left":case"bottom-left":case"left":n=e}return[n,i]}(t,e[0],e[1]):function(t,e){var r=0,n=0;e<0&&(e=0);var i=e/Math.sqrt(2);switch(t){case"top-right":case"top-left":n=i-Ku;break;case"bottom-right":case"bottom-left":n=-i+Ku;break;case"bottom":n=-e+Ku;break;case"top":n=e-Ku}switch(t){case"top-right":case"bottom-right":r=-i;break;case"top-left":case"bottom-left":r=i;break;case"left":r=e;break;case"right":r=-e}return[r,n]}(t,e[0])}function Qu(t){switch(t){case"right":case"top-right":case"bottom-right":return"right";case"left":case"top-left":case"bottom-left":return"left"}return"center"}var tc=255,ec=tc*Au;function rc(t,e,r,n,i,o,s,l,u,c,f,h,p,d,v){var g=function(t,e,r,n,i,o,s,l){for(var u=n.layout.get("text-rotate").evaluate(o,{})*Math.PI/180,c=[],f=0,h=e.positionedLines;fec&&k(t.layerIds[0]+': Value for "text-size" is >= '+tc+'. 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this.hasDebugData()&&this.iconCollisionBox.segments.get().length>0},hc.prototype.addIndicesForPlacedSymbol=function(t,e){for(var r=t.placedSymbolArray.get(e),n=r.vertexStartIndex+4*r.numGlyphs,i=r.vertexStartIndex;i1||this.icon.segments.get().length>1)){this.symbolInstanceIndexes=this.getSortedSymbolIndexes(t),this.sortedAngle=t,this.text.indexArray.clear(),this.icon.indexArray.clear(),this.featureSortOrder=[];for(var 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qi(Ft.layout_symbol["symbol-z-order"]),"icon-allow-overlap":new qi(Ft.layout_symbol["icon-allow-overlap"]),"icon-ignore-placement":new qi(Ft.layout_symbol["icon-ignore-placement"]),"icon-optional":new qi(Ft.layout_symbol["icon-optional"]),"icon-rotation-alignment":new qi(Ft.layout_symbol["icon-rotation-alignment"]),"icon-size":new Hi(Ft.layout_symbol["icon-size"]),"icon-text-fit":new qi(Ft.layout_symbol["icon-text-fit"]),"icon-text-fit-padding":new qi(Ft.layout_symbol["icon-text-fit-padding"]),"icon-image":new Hi(Ft.layout_symbol["icon-image"]),"icon-rotate":new Hi(Ft.layout_symbol["icon-rotate"]),"icon-padding":new qi(Ft.layout_symbol["icon-padding"]),"icon-keep-upright":new qi(Ft.layout_symbol["icon-keep-upright"]),"icon-offset":new Hi(Ft.layout_symbol["icon-offset"]),"icon-anchor":new Hi(Ft.layout_symbol["icon-anchor"]),"icon-pitch-alignment":new qi(Ft.layout_symbol["icon-pitch-alignment"]),"text-pitch-alignment":new qi(Ft.layout_symbol["text-pitch-alignment"]),"text-rotation-alignment":new qi(Ft.layout_symbol["text-rotation-alignment"]),"text-field":new Hi(Ft.layout_symbol["text-field"]),"text-font":new Hi(Ft.layout_symbol["text-font"]),"text-size":new Hi(Ft.layout_symbol["text-size"]),"text-max-width":new Hi(Ft.layout_symbol["text-max-width"]),"text-line-height":new qi(Ft.layout_symbol["text-line-height"]),"text-letter-spacing":new Hi(Ft.layout_symbol["text-letter-spacing"]),"text-justify":new Hi(Ft.layout_symbol["text-justify"]),"text-radial-offset":new Hi(Ft.layout_symbol["text-radial-offset"]),"text-variable-anchor":new qi(Ft.layout_symbol["text-variable-anchor"]),"text-anchor":new Hi(Ft.layout_symbol["text-anchor"]),"text-max-angle":new qi(Ft.layout_symbol["text-max-angle"]),"text-writing-mode":new qi(Ft.layout_symbol["text-writing-mode"]),"text-rotate":new Hi(Ft.layout_symbol["text-rotate"]),"text-padding":new qi(Ft.layout_symbol["text-padding"]),"text-keep-upright":new qi(Ft.layout_symbol["text-keep-upright"]),"text-transform":new Hi(Ft.layout_symbol["text-transform"]),"text-offset":new Hi(Ft.layout_symbol["text-offset"]),"text-allow-overlap":new qi(Ft.layout_symbol["text-allow-overlap"]),"text-ignore-placement":new qi(Ft.layout_symbol["text-ignore-placement"]),"text-optional":new qi(Ft.layout_symbol["text-optional"])}),dc={paint:new Xi({"icon-opacity":new Hi(Ft.paint_symbol["icon-opacity"]),"icon-color":new Hi(Ft.paint_symbol["icon-color"]),"icon-halo-color":new Hi(Ft.paint_symbol["icon-halo-color"]),"icon-halo-width":new Hi(Ft.paint_symbol["icon-halo-width"]),"icon-halo-blur":new Hi(Ft.paint_symbol["icon-halo-blur"]),"icon-translate":new qi(Ft.paint_symbol["icon-translate"]),"icon-translate-anchor":new qi(Ft.paint_symbol["icon-translate-anchor"]),"text-opacity":new Hi(Ft.paint_symbol["text-opacity"]),"text-color":new Hi(Ft.paint_symbol["text-color"],{runtimeType:Zt,getOverride:function(t){return t.textColor},hasOverride:function(t){return!!t.textColor}}),"text-halo-color":new Hi(Ft.paint_symbol["text-halo-color"]),"text-halo-width":new Hi(Ft.paint_symbol["text-halo-width"]),"text-halo-blur":new Hi(Ft.paint_symbol["text-halo-blur"]),"text-translate":new qi(Ft.paint_symbol["text-translate"]),"text-translate-anchor":new qi(Ft.paint_symbol["text-translate-anchor"])}),layout:pc},vc=function(t){this.type=t.property.overrides?t.property.overrides.runtimeType:Gt,this.defaultValue=t};vc.prototype.evaluate=function(t){if(t.formattedSection){var e=this.defaultValue.property.overrides;if(e&&e.hasOverride(t.formattedSection))return e.getOverride(t.formattedSection)}return t.feature&&t.featureState?this.defaultValue.evaluate(t.feature,t.featureState):this.defaultValue.property.specification.default},vc.prototype.eachChild=function(t){this.defaultValue.isConstant()||t(this.defaultValue.value._styleExpression.expression)},vc.prototype.outputDefined=function(){return!1},vc.prototype.serialize=function(){return null},oi("FormatSectionOverride",vc,{omit:["defaultValue"]});var gc=function(t){function e(e){t.call(this,e,dc)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.recalculate=function(e,r){if(t.prototype.recalculate.call(this,e,r),"auto"===this.layout.get("icon-rotation-alignment")&&("point"!==this.layout.get("symbol-placement")?this.layout._values["icon-rotation-alignment"]="map":this.layout._values["icon-rotation-alignment"]="viewport"),"auto"===this.layout.get("text-rotation-alignment")&&("point"!==this.layout.get("symbol-placement")?this.layout._values["text-rotation-alignment"]="map":this.layout._values["text-rotation-alignment"]="viewport"),"auto"===this.layout.get("text-pitch-alignment")&&(this.layout._values["text-pitch-alignment"]=this.layout.get("text-rotation-alignment")),"auto"===this.layout.get("icon-pitch-alignment")&&(this.layout._values["icon-pitch-alignment"]=this.layout.get("icon-rotation-alignment")),"point"===this.layout.get("symbol-placement")){var n=this.layout.get("text-writing-mode");if(n){for(var i=[],a=0,o=n;a",targetMapId:n,sourceMapId:a.mapId})}}},Cc.prototype.receive=function(t){var e=t.data,r=e.id;if(r&&(!e.targetMapId||this.mapId===e.targetMapId))if(""===e.type){delete this.tasks[r];var n=this.cancelCallbacks[r];delete this.cancelCallbacks[r],n&&n()}else S()||e.mustQueue?(this.tasks[r]=e,this.taskQueue.push(r),this.invoker.trigger()):this.processTask(r,e)},Cc.prototype.process=function(){if(this.taskQueue.length){var t=this.taskQueue.shift(),e=this.tasks[t];delete this.tasks[t],this.taskQueue.length&&this.invoker.trigger(),e&&this.processTask(t,e)}},Cc.prototype.processTask=function(t,e){var r=this;if(""===e.type){var n=this.callbacks[t];delete this.callbacks[t],n&&(e.error?n(fi(e.error)):n(null,fi(e.data)))}else{var i=!1,a=C(this.globalScope)?void 0:[],o=e.hasCallback?function(e,n){i=!0,delete r.cancelCallbacks[t],r.target.postMessage({id:t,type:"",sourceMapId:r.mapId,error:e?ci(e):null,data:ci(n,a)},a)}:function(t){i=!0},s=null,l=fi(e.data);if(this.parent[e.type])s=this.parent[e.type](e.sourceMapId,l,o);else if(this.parent.getWorkerSource){var u=e.type.split(".");s=this.parent.getWorkerSource(e.sourceMapId,u[0],l.source)[u[1]](l,o)}else o(new Error("Could not find function "+e.type));!i&&s&&s.cancel&&(this.cancelCallbacks[t]=s.cancel)}},Cc.prototype.remove=function(){this.invoker.remove(),this.target.removeEventListener("message",this.receive,!1)};var Oc=function(t,e){t&&(e?this.setSouthWest(t).setNorthEast(e):4===t.length?this.setSouthWest([t[0],t[1]]).setNorthEast([t[2],t[3]]):this.setSouthWest(t[0]).setNorthEast(t[1]))};Oc.prototype.setNorthEast=function(t){return this._ne=t instanceof Dc?new Dc(t.lng,t.lat):Dc.convert(t),this},Oc.prototype.setSouthWest=function(t){return this._sw=t instanceof Dc?new Dc(t.lng,t.lat):Dc.convert(t),this},Oc.prototype.extend=function(t){var e,r,n=this._sw,i=this._ne;if(t instanceof Dc)e=t,r=t;else{if(!(t instanceof Oc)){if(Array.isArray(t)){if(4===t.length||t.every(Array.isArray)){var a=t;return this.extend(Oc.convert(a))}var o=t;return this.extend(Dc.convert(o))}return this}if(e=t._sw,r=t._ne,!e||!r)return this}return n||i?(n.lng=Math.min(e.lng,n.lng),n.lat=Math.min(e.lat,n.lat),i.lng=Math.max(r.lng,i.lng),i.lat=Math.max(r.lat,i.lat)):(this._sw=new Dc(e.lng,e.lat),this._ne=new Dc(r.lng,r.lat)),this},Oc.prototype.getCenter=function(){return new Dc((this._sw.lng+this._ne.lng)/2,(this._sw.lat+this._ne.lat)/2)},Oc.prototype.getSouthWest=function(){return this._sw},Oc.prototype.getNorthEast=function(){return this._ne},Oc.prototype.getNorthWest=function(){return new Dc(this.getWest(),this.getNorth())},Oc.prototype.getSouthEast=function(){return new Dc(this.getEast(),this.getSouth())},Oc.prototype.getWest=function(){return this._sw.lng},Oc.prototype.getSouth=function(){return this._sw.lat},Oc.prototype.getEast=function(){return this._ne.lng},Oc.prototype.getNorth=function(){return this._ne.lat},Oc.prototype.toArray=function(){return[this._sw.toArray(),this._ne.toArray()]},Oc.prototype.toString=function(){return"LngLatBounds("+this._sw.toString()+", "+this._ne.toString()+")"},Oc.prototype.isEmpty=function(){return!(this._sw&&this._ne)},Oc.prototype.contains=function(t){var e=Dc.convert(t),r=e.lng,n=e.lat,i=this._sw.lat<=n&&n<=this._ne.lat,a=this._sw.lng<=r&&r<=this._ne.lng;return this._sw.lng>this._ne.lng&&(a=this._sw.lng>=r&&r>=this._ne.lng),i&&a},Oc.convert=function(t){return!t||t instanceof Oc?t:new Oc(t)};var Ic=6371008.8,Dc=function(t,e){if(isNaN(t)||isNaN(e))throw new Error("Invalid LngLat object: ("+t+", "+e+")");if(this.lng=+t,this.lat=+e,this.lat>90||this.lat<-90)throw new Error("Invalid LngLat latitude value: must be between -90 and 90")};Dc.prototype.wrap=function(){return new Dc(h(this.lng,-180,180),this.lat)},Dc.prototype.toArray=function(){return[this.lng,this.lat]},Dc.prototype.toString=function(){return"LngLat("+this.lng+", "+this.lat+")"},Dc.prototype.distanceTo=function(t){var e=Math.PI/180,r=this.lat*e,n=t.lat*e,i=Math.sin(r)*Math.sin(n)+Math.cos(r)*Math.cos(n)*Math.cos((t.lng-this.lng)*e);return Ic*Math.acos(Math.min(i,1))},Dc.prototype.toBounds=function(t){void 0===t&&(t=0);var e=360*t/40075017,r=e/Math.cos(Math.PI/180*this.lat);return new Oc(new Dc(this.lng-r,this.lat-e),new Dc(this.lng+r,this.lat+e))},Dc.convert=function(t){if(t instanceof Dc)return t;if(Array.isArray(t)&&(2===t.length||3===t.length))return new Dc(Number(t[0]),Number(t[1]));if(!Array.isArray(t)&&"object"==typeof t&&null!==t)return new Dc(Number("lng"in t?t.lng:t.lon),Number(t.lat));throw new Error("`LngLatLike` argument must be specified as a LngLat instance, an object {lng: , lat: }, an object {lon: , lat: }, or an array of [, ]")};var zc=2*Math.PI*Ic;function Rc(t){return zc*Math.cos(t*Math.PI/180)}function Fc(t){return(180+t)/360}function Bc(t){return(180-180/Math.PI*Math.log(Math.tan(Math.PI/4+t*Math.PI/360)))/360}function Nc(t,e){return t/Rc(e)}function jc(t){var e=180-360*t;return 360/Math.PI*Math.atan(Math.exp(e*Math.PI/180))-90}var Uc=function(t,e,r){void 0===r&&(r=0),this.x=+t,this.y=+e,this.z=+r};Uc.fromLngLat=function(t,e){void 0===e&&(e=0);var r=Dc.convert(t);return new Uc(Fc(r.lng),Bc(r.lat),Nc(e,r.lat))},Uc.prototype.toLngLat=function(){return new Dc(360*this.x-180,jc(this.y))},Uc.prototype.toAltitude=function(){return t=this.z,e=this.y,t*Rc(jc(e));var t,e},Uc.prototype.meterInMercatorCoordinateUnits=function(){return 1/zc*(t=jc(this.y),1/Math.cos(t*Math.PI/180));var t};var Vc=function(t,e,r){this.z=t,this.x=e,this.y=r,this.key=Gc(0,t,t,e,r)};Vc.prototype.equals=function(t){return this.z===t.z&&this.x===t.x&&this.y===t.y},Vc.prototype.url=function(t,e){var r,n,i,a,o,s=(r=this.x,n=this.y,i=this.z,a=Pc(256*r,256*(n=Math.pow(2,i)-n-1),i),o=Pc(256*(r+1),256*(n+1),i),a[0]+","+a[1]+","+o[0]+","+o[1]),l=function(t,e,r){for(var n,i="",a=t;a>0;a--)i+=(e&(n=1<this.canonical.z?new Hc(t,this.wrap,this.canonical.z,this.canonical.x,this.canonical.y):new Hc(t,this.wrap,t,this.canonical.x>>e,this.canonical.y>>e)},Hc.prototype.calculateScaledKey=function(t,e){var r=this.canonical.z-t;return t>this.canonical.z?Gc(this.wrap*+e,t,this.canonical.z,this.canonical.x,this.canonical.y):Gc(this.wrap*+e,t,t,this.canonical.x>>r,this.canonical.y>>r)},Hc.prototype.isChildOf=function(t){if(t.wrap!==this.wrap)return!1;var e=this.canonical.z-t.canonical.z;return 0===t.overscaledZ||t.overscaledZ>e&&t.canonical.y===this.canonical.y>>e},Hc.prototype.children=function(t){if(this.overscaledZ>=t)return[new Hc(this.overscaledZ+1,this.wrap,this.canonical.z,this.canonical.x,this.canonical.y)];var e=this.canonical.z+1,r=2*this.canonical.x,n=2*this.canonical.y;return[new Hc(e,this.wrap,e,r,n),new Hc(e,this.wrap,e,r+1,n),new Hc(e,this.wrap,e,r,n+1),new Hc(e,this.wrap,e,r+1,n+1)]},Hc.prototype.isLessThan=function(t){return this.wrapt.wrap)&&(this.overscaledZt.overscaledZ)&&(this.canonical.xt.canonical.x)&&this.canonical.y=this.dim+1||e<-1||e>=this.dim+1)throw new RangeError("out of range source coordinates for DEM data");return(e+1)*this.stride+(t+1)},Wc.prototype._unpackMapbox=function(t,e,r){return(256*t*256+256*e+r)/10-1e4},Wc.prototype._unpackTerrarium=function(t,e,r){return 256*t+e+r/256-32768},Wc.prototype.getPixels=function(){return new $o({width:this.stride,height:this.stride},new Uint8Array(this.data.buffer))},Wc.prototype.backfillBorder=function(t,e,r){if(this.dim!==t.dim)throw new Error("dem dimension mismatch");var n=e*this.dim,i=e*this.dim+this.dim,a=r*this.dim,o=r*this.dim+this.dim;switch(e){case-1:n=i-1;break;case 1:i=n+1}switch(r){case-1:a=o-1;break;case 1:o=a+1}for(var s=-e*this.dim,l=-r*this.dim,u=a;u=0&&c[3]>=0&&s.insert(o,c[0],c[1],c[2],c[3])}},Jc.prototype.loadVTLayers=function(){return this.vtLayers||(this.vtLayers=new tl.VectorTile(new Ol(this.rawTileData)).layers,this.sourceLayerCoder=new Yc(this.vtLayers?Object.keys(this.vtLayers).sort():["_geojsonTileLayer"])),this.vtLayers},Jc.prototype.query=function(t,e,r,n){var i=this;this.loadVTLayers();for(var o=t.params||{},s=po/t.tileSize/t.scale,l=An(o.filter),u=t.queryGeometry,c=t.queryPadding*s,f=Qc(u),h=this.grid.query(f.minX-c,f.minY-c,f.maxX+c,f.maxY+c),p=Qc(t.cameraQueryGeometry),d=0,v=this.grid3D.query(p.minX-c,p.minY-c,p.maxX+c,p.maxY+c,(function(e,r,n,i){return function(t,e,r,n,i){for(var o=0,s=t;o=l.x&&i>=l.y)return!0}var u=[new a(e,r),new a(e,i),new a(n,i),new a(n,r)];if(t.length>2)for(var c=0,f=u;c=0)return!0;return!1}(a,f)){var h=this.sourceLayerCoder.decode(r),d=this.vtLayers[h].feature(n);if(i.needGeometry){var v=mo(d,!0);if(!i.filter(new Di(this.tileID.overscaledZ),v,this.tileID.canonical))return}else if(!i.filter(new Di(this.tileID.overscaledZ),d))return;for(var g=this.getId(d,h),y=0;yn)i=!1;else if(e)if(this.expirationTimeht&&(t.getActor().send("enforceCacheSizeLimit",ft),xt=0)},t.clamp=f,t.clearTileCache=function(t){var e=s.caches.delete(ct);t&&e.catch(t).then((function(){return t()}))},t.clipLine=Fu,t.clone=function(t){var e=new Fo(16);return e[0]=t[0],e[1]=t[1],e[2]=t[2],e[3]=t[3],e[4]=t[4],e[5]=t[5],e[6]=t[6],e[7]=t[7],e[8]=t[8],e[9]=t[9],e[10]=t[10],e[11]=t[11],e[12]=t[12],e[13]=t[13],e[14]=t[14],e[15]=t[15],e},t.clone$1=w,t.clone$2=function(t){var e=new Fo(3);return e[0]=t[0],e[1]=t[1],e[2]=t[2],e},t.collisionCircleLayout=Ml,t.config=j,t.create=function(){var t=new Fo(16);return Fo!=Float32Array&&(t[1]=0,t[2]=0,t[3]=0,t[4]=0,t[6]=0,t[7]=0,t[8]=0,t[9]=0,t[11]=0,t[12]=0,t[13]=0,t[14]=0),t[0]=1,t[5]=1,t[10]=1,t[15]=1,t},t.create$1=function(){var t=new Fo(9);return Fo!=Float32Array&&(t[1]=0,t[2]=0,t[3]=0,t[5]=0,t[6]=0,t[7]=0),t[0]=1,t[4]=1,t[8]=1,t},t.create$2=function(){var t=new Fo(4);return Fo!=Float32Array&&(t[1]=0,t[2]=0),t[0]=1,t[3]=1,t},t.createCommonjsModule=e,t.createExpression=fn,t.createLayout=ta,t.createStyleLayer=function(t){return"custom"===t.type?new _c(t):new wc[t.type](t)},t.cross=function(t,e,r){var n=e[0],i=e[1],a=e[2],o=r[0],s=r[1],l=r[2];return t[0]=i*l-a*s,t[1]=a*o-n*l,t[2]=n*s-i*o,t},t.deepEqual=function t(e,r){if(Array.isArray(e)){if(!Array.isArray(r)||e.length!==r.length)return!1;for(var n=0;n0&&(a=1/Math.sqrt(a)),t[0]=e[0]*a,t[1]=e[1]*a,t[2]=e[2]*a,t},t.number=er,t.offscreenCanvasSupported=bt,t.ortho=function(t,e,r,n,i,a,o){var s=1/(e-r),l=1/(n-i),u=1/(a-o);return t[0]=-2*s,t[1]=0,t[2]=0,t[3]=0,t[4]=0,t[5]=-2*l,t[6]=0,t[7]=0,t[8]=0,t[9]=0,t[10]=2*u,t[11]=0,t[12]=(e+r)*s,t[13]=(i+n)*l,t[14]=(o+a)*u,t[15]=1,t},t.parseGlyphPBF=function(t){return new Ol(t).readFields(Ql,[])},t.pbf=Ol,t.performSymbolLayout=function(t,e,r,n,i,a,o){t.createArrays();var s=512*t.overscaling;t.tilePixelRatio=po/s,t.compareText={},t.iconsNeedLinear=!1;var l=t.layers[0].layout,u=t.layers[0]._unevaluatedLayout._values,c={};if("composite"===t.textSizeData.kind){var f=t.textSizeData,h=f.minZoom,p=f.maxZoom;c.compositeTextSizes=[u["text-size"].possiblyEvaluate(new Di(h),o),u["text-size"].possiblyEvaluate(new Di(p),o)]}if("composite"===t.iconSizeData.kind){var d=t.iconSizeData,v=d.minZoom,g=d.maxZoom;c.compositeIconSizes=[u["icon-size"].possiblyEvaluate(new Di(v),o),u["icon-size"].possiblyEvaluate(new Di(g),o)]}c.layoutTextSize=u["text-size"].possiblyEvaluate(new Di(t.zoom+1),o),c.layoutIconSize=u["icon-size"].possiblyEvaluate(new Di(t.zoom+1),o),c.textMaxSize=u["text-size"].possiblyEvaluate(new Di(18));for(var y=l.get("text-line-height")*Ll,m="map"===l.get("text-rotation-alignment")&&"point"!==l.get("symbol-placement"),x=l.get("text-keep-upright"),b=l.get("text-size"),_=function(){var a=T[w],s=l.get("text-font").evaluate(a,{},o).join(","),u=b.evaluate(a,{},o),f=c.layoutTextSize.evaluate(a,{},o),h=c.layoutIconSize.evaluate(a,{},o),p={horizontal:{},vertical:void 0},d=a.text,v=[0,0];if(d){var g=d.toString(),_=l.get("text-letter-spacing").evaluate(a,{},o)*Ll,A=function(t){for(var e=0,r=t;e=po||f.y<0||f.y>=po||function(t,e,r,n,i,a,o,s,l,u,c,f,h,p,d,v,g,y,m,x,b,_,w,T,A){var M,S,E,L,C,P=t.addToLineVertexArray(e,r),O=0,I=0,D=0,z=0,R=-1,F=-1,B={},N=ja(""),j=0,U=0;if(void 0===s._unevaluatedLayout.getValue("text-radial-offset")?(j=(M=s.layout.get("text-offset").evaluate(b,{},T).map((function(t){return t*Ll})))[0],U=M[1]):(j=s.layout.get("text-radial-offset").evaluate(b,{},T)*Ll,U=Ju),t.allowVerticalPlacement&&n.vertical){var V=s.layout.get("text-rotate").evaluate(b,{},T)+90,q=n.vertical;L=new Hu(l,e,u,c,f,q,h,p,d,V),o&&(C=new Hu(l,e,u,c,f,o,g,y,d,V))}if(i){var H=s.layout.get("icon-rotate").evaluate(b,{}),G="none"!==s.layout.get("icon-text-fit"),W=Nu(i,H,w,G),Y=o?Nu(o,H,w,G):void 0;E=new Hu(l,e,u,c,f,i,g,y,!1,H),O=4*W.length;var X=t.iconSizeData,Z=null;"source"===X.kind?(Z=[Au*s.layout.get("icon-size").evaluate(b,{})])[0]>ec&&k(t.layerIds[0]+': Value for "icon-size" is >= '+tc+'. Reduce your "icon-size".'):"composite"===X.kind&&((Z=[Au*_.compositeIconSizes[0].evaluate(b,{},T),Au*_.compositeIconSizes[1].evaluate(b,{},T)])[0]>ec||Z[1]>ec)&&k(t.layerIds[0]+': Value for "icon-size" is >= '+tc+'. Reduce your "icon-size".'),t.addSymbols(t.icon,W,Z,x,m,b,!1,e,P.lineStartIndex,P.lineLength,-1,T),R=t.icon.placedSymbolArray.length-1,Y&&(I=4*Y.length,t.addSymbols(t.icon,Y,Z,x,m,b,lu.vertical,e,P.lineStartIndex,P.lineLength,-1,T),F=t.icon.placedSymbolArray.length-1)}for(var K in n.horizontal){var J=n.horizontal[K];if(!S){N=ja(J.text);var $=s.layout.get("text-rotate").evaluate(b,{},T);S=new Hu(l,e,u,c,f,J,h,p,d,$)}var Q=1===J.positionedLines.length;if(D+=rc(t,e,J,a,s,d,b,v,P,n.vertical?lu.horizontal:lu.horizontalOnly,Q?Object.keys(n.horizontal):[K],B,R,_,T),Q)break}n.vertical&&(z+=rc(t,e,n.vertical,a,s,d,b,v,P,lu.vertical,["vertical"],B,F,_,T));var tt=S?S.boxStartIndex:t.collisionBoxArray.length,et=S?S.boxEndIndex:t.collisionBoxArray.length,rt=L?L.boxStartIndex:t.collisionBoxArray.length,nt=L?L.boxEndIndex:t.collisionBoxArray.length,it=E?E.boxStartIndex:t.collisionBoxArray.length,at=E?E.boxEndIndex:t.collisionBoxArray.length,ot=C?C.boxStartIndex:t.collisionBoxArray.length,st=C?C.boxEndIndex:t.collisionBoxArray.length,lt=-1,ut=function(t,e){return t&&t.circleDiameter?Math.max(t.circleDiameter,e):e};lt=ut(S,lt),lt=ut(L,lt),lt=ut(E,lt);var ct=(lt=ut(C,lt))>-1?1:0;ct&&(lt*=A/Ll),t.glyphOffsetArray.length>=hc.MAX_GLYPHS&&k("Too many glyphs being rendered in a tile. See https://github.com/mapbox/mapbox-gl-js/issues/2907"),void 0!==b.sortKey&&t.addToSortKeyRanges(t.symbolInstances.length,b.sortKey),t.symbolInstances.emplaceBack(e.x,e.y,B.right>=0?B.right:-1,B.center>=0?B.center:-1,B.left>=0?B.left:-1,B.vertical||-1,R,F,N,tt,et,rt,nt,it,at,ot,st,u,D,z,O,I,ct,0,h,j,U,lt)}(t,f,s,r,n,i,h,t.layers[0],t.collisionBoxArray,e.index,e.sourceLayerIndex,t.index,m,w,M,l,b,T,S,d,e,a,u,c,o)};if("line"===E)for(var O=0,I=Fu(e.geometry,0,0,po,po);O1){var U=Du(j,A,r.vertical||v,n,g,x);U&&P(j,U)}}else if("Polygon"===e.type)for(var V=0,q=Fs(e.geometry,0);V=E.maxzoom||"none"!==E.visibility&&(o(S,this.zoom,n),(v[E.id]=E.createBucket({index:c.bucketLayerIDs.length,layers:S,zoom:this.zoom,pixelRatio:this.pixelRatio,overscaling:this.overscaling,collisionBoxArray:this.collisionBoxArray,sourceLayerIndex:b,sourceID:this.source})).populate(_,g,this.tileID.canonical),c.bucketLayerIDs.push(S.map((function(t){return t.id}))))}}}var L=t.mapObject(g.glyphDependencies,(function(t){return Object.keys(t).map(Number)}));Object.keys(L).length?a.send("getGlyphs",{uid:this.uid,stacks:L},(function(t,e){f||(f=t,h=e,O.call(l))})):h={};var C=Object.keys(g.iconDependencies);C.length?a.send("getImages",{icons:C,source:this.source,tileID:this.tileID,type:"icons"},(function(t,e){f||(f=t,p=e,O.call(l))})):p={};var P=Object.keys(g.patternDependencies);function O(){if(f)return s(f);if(h&&p&&d){var e=new i(h),r=new t.ImageAtlas(p,d);for(var a in v){var l=v[a];l instanceof t.SymbolBucket?(o(l.layers,this.zoom,n),t.performSymbolLayout(l,h,e.positions,p,r.iconPositions,this.showCollisionBoxes,this.tileID.canonical)):l.hasPattern&&(l instanceof t.LineBucket||l instanceof t.FillBucket||l instanceof t.FillExtrusionBucket)&&(o(l.layers,this.zoom,n),l.addFeatures(g,this.tileID.canonical,r.patternPositions))}this.status="done",s(null,{buckets:t.values(v).filter((function(t){return!t.isEmpty()})),featureIndex:c,collisionBoxArray:this.collisionBoxArray,glyphAtlasImage:e.image,imageAtlas:r,glyphMap:this.returnDependencies?h:null,iconMap:this.returnDependencies?p:null,glyphPositions:this.returnDependencies?e.positions:null})}}P.length?a.send("getImages",{icons:P,source:this.source,tileID:this.tileID,type:"patterns"},(function(t,e){f||(f=t,d=e,O.call(l))})):d={},O.call(this)};var l=function(t,e,r,n){this.actor=t,this.layerIndex=e,this.availableImages=r,this.loadVectorData=n||s,this.loading={},this.loaded={}};l.prototype.loadTile=function(e,r){var n=this,i=e.uid;this.loading||(this.loading={});var o=!!(e&&e.request&&e.request.collectResourceTiming)&&new t.RequestPerformance(e.request),s=this.loading[i]=new a(e);s.abort=this.loadVectorData(e,(function(e,a){if(delete n.loading[i],e||!a)return s.status="done",n.loaded[i]=s,r(e);var l=a.rawData,u={};a.expires&&(u.expires=a.expires),a.cacheControl&&(u.cacheControl=a.cacheControl);var c={};if(o){var f=o.finish();f&&(c.resourceTiming=JSON.parse(JSON.stringify(f)))}s.vectorTile=a.vectorTile,s.parse(a.vectorTile,n.layerIndex,n.availableImages,n.actor,(function(e,n){if(e||!n)return r(e);r(null,t.extend({rawTileData:l.slice(0)},n,u,c))})),n.loaded=n.loaded||{},n.loaded[i]=s}))},l.prototype.reloadTile=function(t,e){var r=this,n=this.loaded,i=t.uid,a=this;if(n&&n[i]){var o=n[i];o.showCollisionBoxes=t.showCollisionBoxes;var s=function(t,n){var i=o.reloadCallback;i&&(delete o.reloadCallback,o.parse(o.vectorTile,a.layerIndex,r.availableImages,a.actor,i)),e(t,n)};"parsing"===o.status?o.reloadCallback=s:"done"===o.status&&(o.vectorTile?o.parse(o.vectorTile,this.layerIndex,this.availableImages,this.actor,s):s())}},l.prototype.abortTile=function(t,e){var r=this.loading,n=t.uid;r&&r[n]&&r[n].abort&&(r[n].abort(),delete r[n]),e()},l.prototype.removeTile=function(t,e){var r=this.loaded,n=t.uid;r&&r[n]&&delete r[n],e()};var u=t.window.ImageBitmap,c=function(){this.loaded={}};c.prototype.loadTile=function(e,r){var n=e.uid,i=e.encoding,a=e.rawImageData,o=u&&a instanceof u?this.getImageData(a):a,s=new t.DEMData(n,o,i);this.loaded=this.loaded||{},this.loaded[n]=s,r(null,s)},c.prototype.getImageData=function(e){this.offscreenCanvas&&this.offscreenCanvasContext||(this.offscreenCanvas=new OffscreenCanvas(e.width,e.height),this.offscreenCanvasContext=this.offscreenCanvas.getContext("2d")),this.offscreenCanvas.width=e.width,this.offscreenCanvas.height=e.height,this.offscreenCanvasContext.drawImage(e,0,0,e.width,e.height);var r=this.offscreenCanvasContext.getImageData(-1,-1,e.width+2,e.height+2);return this.offscreenCanvasContext.clearRect(0,0,this.offscreenCanvas.width,this.offscreenCanvas.height),new t.RGBAImage({width:r.width,height:r.height},r.data)},c.prototype.removeTile=function(t){var e=this.loaded,r=t.uid;e&&e[r]&&delete e[r]};var f=function t(e,r){var n,i=e&&e.type;if("FeatureCollection"===i)for(n=0;n=0!=!!e&&t.reverse()}var d=t.vectorTile.VectorTileFeature.prototype.toGeoJSON,v=function(e){this._feature=e,this.extent=t.EXTENT,this.type=e.type,this.properties=e.tags,"id"in e&&!isNaN(e.id)&&(this.id=parseInt(e.id,10))};v.prototype.loadGeometry=function(){if(1===this._feature.type){for(var e=[],r=0,n=this._feature.geometry;r>31}function P(t,e){for(var r=t.loadGeometry(),n=t.type,i=0,a=0,o=r.length,s=0;s>1;D(t,e,o,n,i,a%2),I(t,e,r,n,o-1,a+1),I(t,e,r,o+1,i,a+1)}}function D(t,e,r,n,i,a){for(;i>n;){if(i-n>600){var o=i-n+1,s=r-n+1,l=Math.log(o),u=.5*Math.exp(2*l/3),c=.5*Math.sqrt(l*u*(o-u)/o)*(s-o/2<0?-1:1);D(t,e,r,Math.max(n,Math.floor(r-s*u/o+c)),Math.min(i,Math.floor(r+(o-s)*u/o+c)),a)}var f=e[2*r+a],h=n,p=i;for(z(t,e,n,r),e[2*i+a]>f&&z(t,e,n,i);hf;)p--}e[2*n+a]===f?z(t,e,n,p):z(t,e,++p,i),p<=r&&(n=p+1),r<=p&&(i=p-1)}}function z(t,e,r,n){R(t,r,n),R(e,2*r,2*n),R(e,2*r+1,2*n+1)}function R(t,e,r){var n=t[e];t[e]=t[r],t[r]=n}function F(t,e,r,n){var i=t-r,a=e-n;return i*i+a*a}_.fromVectorTileJs=w,_.fromGeojsonVt=T,_.GeoJSONWrapper=k;var B=function(t){return t[0]},N=function(t){return t[1]},j=function(t,e,r,n,i){void 0===e&&(e=B),void 0===r&&(r=N),void 0===n&&(n=64),void 0===i&&(i=Float64Array),this.nodeSize=n,this.points=t;for(var a=t.length<65536?Uint16Array:Uint32Array,o=this.ids=new a(t.length),s=this.coords=new i(2*t.length),l=0;l=r&&s<=i&&l>=n&&l<=a&&c.push(t[d]);else{var v=Math.floor((p+h)/2);s=e[2*v],l=e[2*v+1],s>=r&&s<=i&&l>=n&&l<=a&&c.push(t[v]);var g=(f+1)%2;(0===f?r<=s:n<=l)&&(u.push(p),u.push(v-1),u.push(g)),(0===f?i>=s:a>=l)&&(u.push(v+1),u.push(h),u.push(g))}}return c}(this.ids,this.coords,t,e,r,n,this.nodeSize)},j.prototype.within=function(t,e,r){return function(t,e,r,n,i,a){for(var o=[0,t.length-1,0],s=[],l=i*i;o.length;){var u=o.pop(),c=o.pop(),f=o.pop();if(c-f<=a)for(var h=f;h<=c;h++)F(e[2*h],e[2*h+1],r,n)<=l&&s.push(t[h]);else{var p=Math.floor((f+c)/2),d=e[2*p],v=e[2*p+1];F(d,v,r,n)<=l&&s.push(t[p]);var g=(u+1)%2;(0===u?r-i<=d:n-i<=v)&&(o.push(f),o.push(p-1),o.push(g)),(0===u?r+i>=d:n+i>=v)&&(o.push(p+1),o.push(c),o.push(g))}}return s}(this.ids,this.coords,t,e,r,this.nodeSize)};var U={minZoom:0,maxZoom:16,minPoints:2,radius:40,extent:512,nodeSize:64,log:!1,generateId:!1,reduce:null,map:function(t){return t}},V=function(t){this.options=Z(Object.create(U),t),this.trees=new Array(this.options.maxZoom+1)};function q(t,e,r,n,i){return{x:t,y:e,zoom:1/0,id:r,parentId:-1,numPoints:n,properties:i}}function H(t,e){var r=t.geometry.coordinates,n=r[0],i=r[1];return{x:Y(n),y:X(i),zoom:1/0,index:e,parentId:-1}}function G(t){return{type:"Feature",id:t.id,properties:W(t),geometry:{type:"Point",coordinates:[(n=t.x,360*(n-.5)),(e=t.y,r=(180-360*e)*Math.PI/180,360*Math.atan(Math.exp(r))/Math.PI-90)]}};var e,r,n}function W(t){var e=t.numPoints,r=e>=1e4?Math.round(e/1e3)+"k":e>=1e3?Math.round(e/100)/10+"k":e;return Z(Z({},t.properties),{cluster:!0,cluster_id:t.id,point_count:e,point_count_abbreviated:r})}function Y(t){return t/360+.5}function X(t){var e=Math.sin(t*Math.PI/180),r=.5-.25*Math.log((1+e)/(1-e))/Math.PI;return r<0?0:r>1?1:r}function Z(t,e){for(var r in e)t[r]=e[r];return t}function K(t){return t.x}function J(t){return t.y}function $(t,e,r,n){for(var i,a=n,o=r-e>>1,s=r-e,l=t[e],u=t[e+1],c=t[r],f=t[r+1],h=e+3;ha)i=h,a=p;else if(p===a){var d=Math.abs(h-o);dn&&(i-e>3&&$(t,e,i,n),t[i+2]=a,r-i>3&&$(t,i,r,n))}function Q(t,e,r,n,i,a){var o=i-r,s=a-n;if(0!==o||0!==s){var l=((t-r)*o+(e-n)*s)/(o*o+s*s);l>1?(r=i,n=a):l>0&&(r+=o*l,n+=s*l)}return(o=t-r)*o+(s=e-n)*s}function tt(t,e,r,n){var i={id:void 0===t?null:t,type:e,geometry:r,tags:n,minX:1/0,minY:1/0,maxX:-1/0,maxY:-1/0};return function(t){var e=t.geometry,r=t.type;if("Point"===r||"MultiPoint"===r||"LineString"===r)et(t,e);else if("Polygon"===r||"MultiLineString"===r)for(var n=0;n0&&(o+=n?(i*u-l*a)/2:Math.sqrt(Math.pow(l-i,2)+Math.pow(u-a,2))),i=l,a=u}var c=e.length-3;e[2]=1,$(e,0,c,r),e[c+2]=1,e.size=Math.abs(o),e.start=0,e.end=e.size}function at(t,e,r,n){for(var i=0;i1?1:r}function lt(t,e,r,n,i,a,o,s){if(n/=e,a>=(r/=e)&&o=n)return null;for(var l=[],u=0;u=r&&d=n)){var v=[];if("Point"===h||"MultiPoint"===h)ut(f,v,r,n,i);else if("LineString"===h)ct(f,v,r,n,i,!1,s.lineMetrics);else if("MultiLineString"===h)ht(f,v,r,n,i,!1);else if("Polygon"===h)ht(f,v,r,n,i,!0);else if("MultiPolygon"===h)for(var g=0;g=r&&o<=n&&(e.push(t[a]),e.push(t[a+1]),e.push(t[a+2]))}}function ct(t,e,r,n,i,a,o){for(var s,l,u=ft(t),c=0===i?dt:vt,f=t.start,h=0;hr&&(l=c(u,p,d,g,y,r),o&&(u.start=f+s*l)):m>n?x=r&&(l=c(u,p,d,g,y,r),b=!0),x>n&&m<=n&&(l=c(u,p,d,g,y,n),b=!0),!a&&b&&(o&&(u.end=f+s*l),e.push(u),u=ft(t)),o&&(f+=s)}var _=t.length-3;p=t[_],d=t[_+1],v=t[_+2],(m=0===i?p:d)>=r&&m<=n&&pt(u,p,d,v),_=u.length-3,a&&_>=3&&(u[_]!==u[0]||u[_+1]!==u[1])&&pt(u,u[0],u[1],u[2]),u.length&&e.push(u)}function ft(t){var e=[];return e.size=t.size,e.start=t.start,e.end=t.end,e}function ht(t,e,r,n,i,a){for(var o=0;oo.maxX&&(o.maxX=c),f>o.maxY&&(o.maxY=f)}return o}function _t(t,e,r,n){var i=e.geometry,a=e.type,o=[];if("Point"===a||"MultiPoint"===a)for(var s=0;s0&&e.size<(i?o:n))r.numPoints+=e.length/3;else{for(var s=[],l=0;lo)&&(r.numSimplified++,s.push(e[l]),s.push(e[l+1])),r.numPoints++;i&&function(t,e){for(var r=0,n=0,i=t.length,a=i-2;n0===e)for(n=0,i=t.length;n24)throw new Error("maxZoom should be in the 0-24 range");if(e.promoteId&&e.generateId)throw new Error("promoteId and generateId cannot be used together.");var n=function(t,e){var r=[];if("FeatureCollection"===t.type)for(var n=0;n=n;u--){var c=+Date.now();s=this._cluster(s,u),this.trees[u]=new j(s,K,J,a,Float32Array),r&&console.log("z%d: %d clusters in %dms",u,s.length,+Date.now()-c)}return r&&console.timeEnd("total time"),this},V.prototype.getClusters=function(t,e){var r=((t[0]+180)%360+360)%360-180,n=Math.max(-90,Math.min(90,t[1])),i=180===t[2]?180:((t[2]+180)%360+360)%360-180,a=Math.max(-90,Math.min(90,t[3]));if(t[2]-t[0]>=360)r=-180,i=180;else if(r>i){var o=this.getClusters([r,n,180,a],e),s=this.getClusters([-180,n,i,a],e);return o.concat(s)}for(var l=this.trees[this._limitZoom(e)],u=[],c=0,f=l.range(Y(r),X(a),Y(i),X(n));ce&&(d+=m.numPoints||1)}if(d>=s){for(var x=c.x*p,b=c.y*p,_=o&&p>1?this._map(c,!0):null,w=(u<<5)+(e+1)+this.points.length,T=0,k=h;T1)for(var E=0,L=h;E>5},V.prototype._getOriginZoom=function(t){return(t-this.points.length)%32},V.prototype._map=function(t,e){if(t.numPoints)return e?Z({},t.properties):t.properties;var r=this.points[t.index].properties,n=this.options.map(r);return e&&n===r?Z({},n):n},Tt.prototype.options={maxZoom:14,indexMaxZoom:5,indexMaxPoints:1e5,tolerance:3,extent:4096,buffer:64,lineMetrics:!1,promoteId:null,generateId:!1,debug:0},Tt.prototype.splitTile=function(t,e,r,n,i,a,o){for(var s=[t,e,r,n],l=this.options,u=l.debug;s.length;){n=s.pop(),r=s.pop(),e=s.pop(),t=s.pop();var c=1<1&&console.time("creation"),h=this.tiles[f]=bt(t,e,r,n,l),this.tileCoords.push({z:e,x:r,y:n}),u)){u>1&&(console.log("tile z%d-%d-%d (features: %d, points: %d, simplified: %d)",e,r,n,h.numFeatures,h.numPoints,h.numSimplified),console.timeEnd("creation"));var p="z"+e;this.stats[p]=(this.stats[p]||0)+1,this.total++}if(h.source=t,i){if(e===l.maxZoom||e===i)continue;var d=1<1&&console.time("clipping");var v,g,y,m,x,b,_=.5*l.buffer/l.extent,w=.5-_,T=.5+_,k=1+_;v=g=y=m=null,x=lt(t,c,r-_,r+T,0,h.minX,h.maxX,l),b=lt(t,c,r+w,r+k,0,h.minX,h.maxX,l),t=null,x&&(v=lt(x,c,n-_,n+T,1,h.minY,h.maxY,l),g=lt(x,c,n+w,n+k,1,h.minY,h.maxY,l),x=null),b&&(y=lt(b,c,n-_,n+T,1,h.minY,h.maxY,l),m=lt(b,c,n+w,n+k,1,h.minY,h.maxY,l),b=null),u>1&&console.timeEnd("clipping"),s.push(v||[],e+1,2*r,2*n),s.push(g||[],e+1,2*r,2*n+1),s.push(y||[],e+1,2*r+1,2*n),s.push(m||[],e+1,2*r+1,2*n+1)}}},Tt.prototype.getTile=function(t,e,r){var n=this.options,i=n.extent,a=n.debug;if(t<0||t>24)return null;var o=1<1&&console.log("drilling down to z%d-%d-%d",t,e,r);for(var l,u=t,c=e,f=r;!l&&u>0;)u--,c=Math.floor(c/2),f=Math.floor(f/2),l=this.tiles[kt(u,c,f)];return l&&l.source?(a>1&&console.log("found parent tile z%d-%d-%d",u,c,f),a>1&&console.time("drilling down"),this.splitTile(l.source,u,c,f,t,e,r),a>1&&console.timeEnd("drilling down"),this.tiles[s]?mt(this.tiles[s],i):null):null};var Mt=function(e){function r(t,r,n,i){e.call(this,t,r,n,At),i&&(this.loadGeoJSON=i)}return e&&(r.__proto__=e),r.prototype=Object.create(e&&e.prototype),r.prototype.constructor=r,r.prototype.loadData=function(t,e){this._pendingCallback&&this._pendingCallback(null,{abandoned:!0}),this._pendingCallback=e,this._pendingLoadDataParams=t,this._state&&"Idle"!==this._state?this._state="NeedsLoadData":(this._state="Coalescing",this._loadData())},r.prototype._loadData=function(){var e=this;if(this._pendingCallback&&this._pendingLoadDataParams){var r=this._pendingCallback,n=this._pendingLoadDataParams;delete this._pendingCallback,delete this._pendingLoadDataParams;var i=!!(n&&n.request&&n.request.collectResourceTiming)&&new t.RequestPerformance(n.request);this.loadGeoJSON(n,(function(a,o){if(a||!o)return r(a);if("object"!=typeof o)return r(new Error("Input data given to '"+n.source+"' is not a valid GeoJSON object."));f(o,!0);try{if(n.filter){var s=t.createExpression(n.filter,{type:"boolean","property-type":"data-driven",overridable:!1,transition:!1});if("error"===s.result)throw new Error(s.value.map((function(t){return t.key+": "+t.message})).join(", "));var l=o.features.filter((function(t){return s.value.evaluate({zoom:0},t)}));o={type:"FeatureCollection",features:l}}e._geoJSONIndex=n.cluster?new V(function(e){var r=e.superclusterOptions,n=e.clusterProperties;if(!n||!r)return r;for(var i={},a={},o={accumulated:null,zoom:0},s={properties:null},l=Object.keys(n),u=0,c=l;u=0?0:e.button},r.remove=function(t){t.parentNode&&t.parentNode.removeChild(t)};var h=function(e){function r(){e.call(this),this.images={},this.updatedImages={},this.callbackDispatchedThisFrame={},this.loaded=!1,this.requestors=[],this.patterns={},this.atlasImage=new t.RGBAImage({width:1,height:1}),this.dirty=!0}return e&&(r.__proto__=e),r.prototype=Object.create(e&&e.prototype),r.prototype.constructor=r,r.prototype.isLoaded=function(){return this.loaded},r.prototype.setLoaded=function(t){if(this.loaded!==t&&(this.loaded=t,t)){for(var e=0,r=this.requestors;e=0?1.2:1))}function y(t,e,r,n,i,a,o){for(var s=0;s65535)e(new Error("glyphs > 65535 not supported"));else if(a.ranges[s])e(null,{stack:r,id:i,glyph:o});else{var l=a.requests[s];l||(l=a.requests[s]=[],x.loadGlyphRange(r,s,n.url,n.requestManager,(function(t,e){if(e){for(var r in e)n._doesCharSupportLocalGlyph(+r)||(a.glyphs[+r]=e[+r]);a.ranges[s]=!0}for(var i=0,o=l;i1&&(l=t[++s]);var c=Math.abs(u-l.left),f=Math.abs(u-l.right),h=Math.min(c,f),p=void 0,d=i/r*(n+1);if(l.isDash){var v=n-Math.abs(d);p=Math.sqrt(h*h+v*v)}else p=n-Math.sqrt(h*h+d*d);this.data[o+u]=Math.max(0,Math.min(255,p+128))}},k.prototype.addRegularDash=function(t){for(var e=t.length-1;e>=0;--e){var r=t[e],n=t[e+1];r.zeroLength?t.splice(e,1):n&&n.isDash===r.isDash&&(n.left=r.left,t.splice(e,1))}var i=t[0],a=t[t.length-1];i.isDash===a.isDash&&(i.left=a.left-this.width,a.right=i.right+this.width);for(var o=this.width*this.nextRow,s=0,l=t[s],u=0;u1&&(l=t[++s]);var c=Math.abs(u-l.left),f=Math.abs(u-l.right),h=Math.min(c,f),p=l.isDash?h:-h;this.data[o+u]=Math.max(0,Math.min(255,p+128))}},k.prototype.addDash=function(e,r){var n=r?7:0,i=2*n+1;if(this.nextRow+i>this.height)return t.warnOnce("LineAtlas out of space"),null;for(var a=0,o=0;o=n&&e.x=i&&e.y0&&(l[new t.OverscaledTileID(e.overscaledZ,a,r.z,i,r.y-1).key]={backfilled:!1},l[new t.OverscaledTileID(e.overscaledZ,e.wrap,r.z,r.x,r.y-1).key]={backfilled:!1},l[new t.OverscaledTileID(e.overscaledZ,s,r.z,o,r.y-1).key]={backfilled:!1}),r.y+10&&(n.resourceTiming=e._resourceTiming,e._resourceTiming=[]),e.fire(new t.Event("data",n))}}))},r.prototype.onAdd=function(t){this.map=t,this.load()},r.prototype.setData=function(e){var r=this;return this._data=e,this.fire(new t.Event("dataloading",{dataType:"source"})),this._updateWorkerData((function(e){if(e)r.fire(new t.ErrorEvent(e));else{var n={dataType:"source",sourceDataType:"content"};r._collectResourceTiming&&r._resourceTiming&&r._resourceTiming.length>0&&(n.resourceTiming=r._resourceTiming,r._resourceTiming=[]),r.fire(new t.Event("data",n))}})),this},r.prototype.getClusterExpansionZoom=function(t,e){return this.actor.send("geojson.getClusterExpansionZoom",{clusterId:t,source:this.id},e),this},r.prototype.getClusterChildren=function(t,e){return this.actor.send("geojson.getClusterChildren",{clusterId:t,source:this.id},e),this},r.prototype.getClusterLeaves=function(t,e,r,n){return this.actor.send("geojson.getClusterLeaves",{source:this.id,clusterId:t,limit:e,offset:r},n),this},r.prototype._updateWorkerData=function(e){var r=this;this._loaded=!1;var n=t.extend({},this.workerOptions),i=this._data;"string"==typeof i?(n.request=this.map._requestManager.transformRequest(t.browser.resolveURL(i),t.ResourceType.Source),n.request.collectResourceTiming=this._collectResourceTiming):n.data=JSON.stringify(i),this.actor.send(this.type+".loadData",n,(function(t,i){r._removed||i&&i.abandoned||(r._loaded=!0,i&&i.resourceTiming&&i.resourceTiming[r.id]&&(r._resourceTiming=i.resourceTiming[r.id].slice(0)),r.actor.send(r.type+".coalesce",{source:n.source},null),e(t))}))},r.prototype.loaded=function(){return this._loaded},r.prototype.loadTile=function(e,r){var n=this,i=e.actor?"reloadTile":"loadTile";e.actor=this.actor;var a={type:this.type,uid:e.uid,tileID:e.tileID,zoom:e.tileID.overscaledZ,maxZoom:this.maxzoom,tileSize:this.tileSize,source:this.id,pixelRatio:t.browser.devicePixelRatio,showCollisionBoxes:this.map.showCollisionBoxes,promoteId:this.promoteId};e.request=this.actor.send(i,a,(function(t,a){return delete e.request,e.unloadVectorData(),e.aborted?r(null):t?r(t):(e.loadVectorData(a,n.map.painter,"reloadTile"===i),r(null))}))},r.prototype.abortTile=function(t){t.request&&(t.request.cancel(),delete t.request),t.aborted=!0},r.prototype.unloadTile=function(t){t.unloadVectorData(),this.actor.send("removeTile",{uid:t.uid,type:this.type,source:this.id})},r.prototype.onRemove=function(){this._removed=!0,this.actor.send("removeSource",{type:this.type,source:this.id})},r.prototype.serialize=function(){return t.extend({},this._options,{type:this.type,data:this._data})},r.prototype.hasTransition=function(){return!1},r}(t.Evented),O=t.createLayout([{name:"a_pos",type:"Int16",components:2},{name:"a_texture_pos",type:"Int16",components:2}]),I=function(e){function r(t,r,n,i){e.call(this),this.id=t,this.dispatcher=n,this.coordinates=r.coordinates,this.type="image",this.minzoom=0,this.maxzoom=22,this.tileSize=512,this.tiles={},this._loaded=!1,this.setEventedParent(i),this.options=r}return e&&(r.__proto__=e),r.prototype=Object.create(e&&e.prototype),r.prototype.constructor=r,r.prototype.load=function(e,r){var n=this;this._loaded=!1,this.fire(new t.Event("dataloading",{dataType:"source"})),this.url=this.options.url,t.getImage(this.map._requestManager.transformRequest(this.url,t.ResourceType.Image),(function(i,a){n._loaded=!0,i?n.fire(new t.ErrorEvent(i)):a&&(n.image=a,e&&(n.coordinates=e),r&&r(),n._finishLoading())}))},r.prototype.loaded=function(){return this._loaded},r.prototype.updateImage=function(t){var e=this;return this.image&&t.url?(this.options.url=t.url,this.load(t.coordinates,(function(){e.texture=null})),this):this},r.prototype._finishLoading=function(){this.map&&(this.setCoordinates(this.coordinates),this.fire(new t.Event("data",{dataType:"source",sourceDataType:"metadata"})))},r.prototype.onAdd=function(t){this.map=t,this.load()},r.prototype.setCoordinates=function(e){var r=this;this.coordinates=e;var n=e.map(t.MercatorCoordinate.fromLngLat);this.tileID=function(e){for(var r=1/0,n=1/0,i=-1/0,a=-1/0,o=0,s=e;or.end(0)?this.fire(new t.ErrorEvent(new t.ValidationError("sources."+this.id,null,"Playback for this video can be set only between the "+r.start(0)+" and "+r.end(0)+"-second mark."))):this.video.currentTime=e}},r.prototype.getVideo=function(){return this.video},r.prototype.onAdd=function(t){this.map||(this.map=t,this.load(),this.video&&(this.video.play(),this.setCoordinates(this.coordinates)))},r.prototype.prepare=function(){if(!(0===Object.keys(this.tiles).length||this.video.readyState<2)){var e=this.map.painter.context,r=e.gl;for(var n in this.boundsBuffer||(this.boundsBuffer=e.createVertexBuffer(this._boundsArray,O.members)),this.boundsSegments||(this.boundsSegments=t.SegmentVector.simpleSegment(0,0,4,2)),this.texture?this.video.paused||(this.texture.bind(r.LINEAR,r.CLAMP_TO_EDGE),r.texSubImage2D(r.TEXTURE_2D,0,0,0,r.RGBA,r.UNSIGNED_BYTE,this.video)):(this.texture=new t.Texture(e,this.video,r.RGBA),this.texture.bind(r.LINEAR,r.CLAMP_TO_EDGE)),this.tiles){var i=this.tiles[n];"loaded"!==i.state&&(i.state="loaded",i.texture=this.texture)}}},r.prototype.serialize=function(){return{type:"video",urls:this.urls,coordinates:this.coordinates}},r.prototype.hasTransition=function(){return this.video&&!this.video.paused},r}(I),z=function(e){function r(r,n,i,a){e.call(this,r,n,i,a),n.coordinates?Array.isArray(n.coordinates)&&4===n.coordinates.length&&!n.coordinates.some((function(t){return!Array.isArray(t)||2!==t.length||t.some((function(t){return"number"!=typeof t}))}))||this.fire(new t.ErrorEvent(new t.ValidationError("sources."+r,null,'"coordinates" property must be an array of 4 longitude/latitude array pairs'))):this.fire(new t.ErrorEvent(new t.ValidationError("sources."+r,null,'missing required property "coordinates"'))),n.animate&&"boolean"!=typeof n.animate&&this.fire(new t.ErrorEvent(new t.ValidationError("sources."+r,null,'optional "animate" property must be a boolean value'))),n.canvas?"string"==typeof n.canvas||n.canvas instanceof t.window.HTMLCanvasElement||this.fire(new t.ErrorEvent(new t.ValidationError("sources."+r,null,'"canvas" must be either a string representing the ID of the canvas element from which to read, or an HTMLCanvasElement instance'))):this.fire(new t.ErrorEvent(new t.ValidationError("sources."+r,null,'missing required property "canvas"'))),this.options=n,this.animate=void 0===n.animate||n.animate}return e&&(r.__proto__=e),r.prototype=Object.create(e&&e.prototype),r.prototype.constructor=r,r.prototype.load=function(){this._loaded=!0,this.canvas||(this.canvas=this.options.canvas instanceof t.window.HTMLCanvasElement?this.options.canvas:t.window.document.getElementById(this.options.canvas)),this.width=this.canvas.width,this.height=this.canvas.height,this._hasInvalidDimensions()?this.fire(new t.ErrorEvent(new Error("Canvas dimensions cannot be less than or equal to zero."))):(this.play=function(){this._playing=!0,this.map.triggerRepaint()},this.pause=function(){this._playing&&(this.prepare(),this._playing=!1)},this._finishLoading())},r.prototype.getCanvas=function(){return this.canvas},r.prototype.onAdd=function(t){this.map=t,this.load(),this.canvas&&this.animate&&this.play()},r.prototype.onRemove=function(){this.pause()},r.prototype.prepare=function(){var e=!1;if(this.canvas.width!==this.width&&(this.width=this.canvas.width,e=!0),this.canvas.height!==this.height&&(this.height=this.canvas.height,e=!0),!this._hasInvalidDimensions()&&0!==Object.keys(this.tiles).length){var r=this.map.painter.context,n=r.gl;for(var i in this.boundsBuffer||(this.boundsBuffer=r.createVertexBuffer(this._boundsArray,O.members)),this.boundsSegments||(this.boundsSegments=t.SegmentVector.simpleSegment(0,0,4,2)),this.texture?(e||this._playing)&&this.texture.update(this.canvas,{premultiply:!0}):this.texture=new t.Texture(r,this.canvas,n.RGBA,{premultiply:!0}),this.tiles){var a=this.tiles[i];"loaded"!==a.state&&(a.state="loaded",a.texture=this.texture)}}},r.prototype.serialize=function(){return{type:"canvas",coordinates:this.coordinates}},r.prototype.hasTransition=function(){return this._playing},r.prototype._hasInvalidDimensions=function(){for(var t=0,e=[this.canvas.width,this.canvas.height];tthis.max){var o=this._getAndRemoveByKey(this.order[0]);o&&this.onRemove(o)}return this},j.prototype.has=function(t){return t.wrapped().key in this.data},j.prototype.getAndRemove=function(t){return this.has(t)?this._getAndRemoveByKey(t.wrapped().key):null},j.prototype._getAndRemoveByKey=function(t){var e=this.data[t].shift();return e.timeout&&clearTimeout(e.timeout),0===this.data[t].length&&delete this.data[t],this.order.splice(this.order.indexOf(t),1),e.value},j.prototype.getByKey=function(t){var e=this.data[t];return e?e[0].value:null},j.prototype.get=function(t){return this.has(t)?this.data[t.wrapped().key][0].value:null},j.prototype.remove=function(t,e){if(!this.has(t))return this;var r=t.wrapped().key,n=void 0===e?0:this.data[r].indexOf(e),i=this.data[r][n];return this.data[r].splice(n,1),i.timeout&&clearTimeout(i.timeout),0===this.data[r].length&&delete this.data[r],this.onRemove(i.value),this.order.splice(this.order.indexOf(r),1),this},j.prototype.setMaxSize=function(t){for(this.max=t;this.order.length>this.max;){var e=this._getAndRemoveByKey(this.order[0]);e&&this.onRemove(e)}return this},j.prototype.filter=function(t){var e=[];for(var r in this.data)for(var n=0,i=this.data[r];n1||(Math.abs(r)>1&&(1===Math.abs(r+i)?r+=i:1===Math.abs(r-i)&&(r-=i)),e.dem&&t.dem&&(t.dem.backfillBorder(e.dem,r,n),t.neighboringTiles&&t.neighboringTiles[a]&&(t.neighboringTiles[a].backfilled=!0)))}},r.prototype.getTile=function(t){return this.getTileByID(t.key)},r.prototype.getTileByID=function(t){return this._tiles[t]},r.prototype._retainLoadedChildren=function(t,e,r,n){for(var i in this._tiles){var a=this._tiles[i];if(!(n[i]||!a.hasData()||a.tileID.overscaledZ<=e||a.tileID.overscaledZ>r)){for(var o=a.tileID;a&&a.tileID.overscaledZ>e+1;){var s=a.tileID.scaledTo(a.tileID.overscaledZ-1);(a=this._tiles[s.key])&&a.hasData()&&(o=s)}for(var l=o;l.overscaledZ>e;)if(t[(l=l.scaledTo(l.overscaledZ-1)).key]){n[o.key]=o;break}}}},r.prototype.findLoadedParent=function(t,e){if(t.key in this._loadedParentTiles){var r=this._loadedParentTiles[t.key];return r&&r.tileID.overscaledZ>=e?r:null}for(var n=t.overscaledZ-1;n>=e;n--){var i=t.scaledTo(n),a=this._getLoadedTile(i);if(a)return a}},r.prototype._getLoadedTile=function(t){var e=this._tiles[t.key];return e&&e.hasData()?e:this._cache.getByKey(t.wrapped().key)},r.prototype.updateCacheSize=function(t){var e=(Math.ceil(t.width/this._source.tileSize)+1)*(Math.ceil(t.height/this._source.tileSize)+1),r=Math.floor(5*e),n="number"==typeof this._maxTileCacheSize?Math.min(this._maxTileCacheSize,r):r;this._cache.setMaxSize(n)},r.prototype.handleWrapJump=function(t){var e=(t-(void 0===this._prevLng?t:this._prevLng))/360,r=Math.round(e);if(this._prevLng=t,r){var n={};for(var i in this._tiles){var a=this._tiles[i];a.tileID=a.tileID.unwrapTo(a.tileID.wrap+r),n[a.tileID.key]=a}for(var o in this._tiles=n,this._timers)clearTimeout(this._timers[o]),delete this._timers[o];for(var s in this._tiles){var l=this._tiles[s];this._setTileReloadTimer(s,l)}}},r.prototype.update=function(e){var n=this;if(this.transform=e,this._sourceLoaded&&!this._paused){var i;this.updateCacheSize(e),this.handleWrapJump(this.transform.center.lng),this._coveredTiles={},this.used?this._source.tileID?i=e.getVisibleUnwrappedCoordinates(this._source.tileID).map((function(e){return new t.OverscaledTileID(e.canonical.z,e.wrap,e.canonical.z,e.canonical.x,e.canonical.y)})):(i=e.coveringTiles({tileSize:this._source.tileSize,minzoom:this._source.minzoom,maxzoom:this._source.maxzoom,roundZoom:this._source.roundZoom,reparseOverscaled:this._source.reparseOverscaled}),this._source.hasTile&&(i=i.filter((function(t){return n._source.hasTile(t)})))):i=[];var a=e.coveringZoomLevel(this._source),o=Math.max(a-r.maxOverzooming,this._source.minzoom),s=Math.max(a+r.maxUnderzooming,this._source.minzoom),l=this._updateRetainedTiles(i,a);if(Dt(this._source.type)){for(var u={},c={},f=0,h=Object.keys(l);fthis._source.maxzoom){var g=d.children(this._source.maxzoom)[0],y=this.getTile(g);if(y&&y.hasData()){n[g.key]=g;continue}}else{var m=d.children(this._source.maxzoom);if(n[m[0].key]&&n[m[1].key]&&n[m[2].key]&&n[m[3].key])continue}for(var x=v.wasRequested(),b=d.overscaledZ-1;b>=a;--b){var _=d.scaledTo(b);if(i[_.key])break;if(i[_.key]=!0,!(v=this.getTile(_))&&x&&(v=this._addTile(_)),v&&(n[_.key]=_,x=v.wasRequested(),v.hasData()))break}}}return n},r.prototype._updateLoadedParentTileCache=function(){for(var t in this._loadedParentTiles={},this._tiles){for(var e=[],r=void 0,n=this._tiles[t].tileID;n.overscaledZ>0;){if(n.key in this._loadedParentTiles){r=this._loadedParentTiles[n.key];break}e.push(n.key);var i=n.scaledTo(n.overscaledZ-1);if(r=this._getLoadedTile(i))break;n=i}for(var a=0,o=e;a0||(e.hasData()&&"reloading"!==e.state?this._cache.add(e.tileID,e,e.getExpiryTimeout()):(e.aborted=!0,this._abortTile(e),this._unloadTile(e))))},r.prototype.clearTiles=function(){for(var t in this._shouldReloadOnResume=!1,this._paused=!1,this._tiles)this._removeTile(t);this._cache.reset()},r.prototype.tilesIn=function(e,r,n){var i=this,a=[],o=this.transform;if(!o)return a;for(var s=n?o.getCameraQueryGeometry(e):e,l=e.map((function(t){return o.pointCoordinate(t)})),u=s.map((function(t){return o.pointCoordinate(t)})),c=this.getIds(),f=1/0,h=1/0,p=-1/0,d=-1/0,v=0,g=u;v=0&&y[1].y+g>=0){var m=l.map((function(t){return s.getTilePoint(t)})),x=u.map((function(t){return s.getTilePoint(t)}));a.push({tile:n,tileID:s,queryGeometry:m,cameraQueryGeometry:x,scale:v})}}},x=0;x=t.browser.now())return!0}return!1},r.prototype.setFeatureState=function(t,e,r){t=t||"_geojsonTileLayer",this._state.updateState(t,e,r)},r.prototype.removeFeatureState=function(t,e,r){t=t||"_geojsonTileLayer",this._state.removeFeatureState(t,e,r)},r.prototype.getFeatureState=function(t,e){return t=t||"_geojsonTileLayer",this._state.getState(t,e)},r.prototype.setDependencies=function(t,e,r){var n=this._tiles[t];n&&n.setDependencies(e,r)},r.prototype.reloadTilesForDependencies=function(t,e){for(var r in this._tiles)this._tiles[r].hasDependency(t,e)&&this._reloadTile(r,"reloading");this._cache.filter((function(r){return!r.hasDependency(t,e)}))},r}(t.Evented);function It(t,e){var r=Math.abs(2*t.wrap)-+(t.wrap<0),n=Math.abs(2*e.wrap)-+(e.wrap<0);return t.overscaledZ-e.overscaledZ||n-r||e.canonical.y-t.canonical.y||e.canonical.x-t.canonical.x}function Dt(t){return"raster"===t||"image"===t||"video"===t}function zt(){return new t.window.Worker(oa.workerUrl)}Ot.maxOverzooming=10,Ot.maxUnderzooming=3;var Rt="mapboxgl_preloaded_worker_pool",Ft=function(){this.active={}};Ft.prototype.acquire=function(t){if(!this.workers)for(this.workers=[];this.workers.length0?(i-o)/s:0;return this.points[a].mult(1-l).add(this.points[r].mult(l))};var Qt=function(t,e,r){var n=this.boxCells=[],i=this.circleCells=[];this.xCellCount=Math.ceil(t/r),this.yCellCount=Math.ceil(e/r);for(var a=0;a=-e[0]&&r<=e[0]&&n>=-e[1]&&n<=e[1]}function ae(e,r,n,i,a,o,s,l){var u=i?e.textSizeData:e.iconSizeData,c=t.evaluateSizeForZoom(u,n.transform.zoom),f=[256/n.width*2+1,256/n.height*2+1],h=i?e.text.dynamicLayoutVertexArray:e.icon.dynamicLayoutVertexArray;h.clear();for(var p=e.lineVertexArray,d=i?e.text.placedSymbolArray:e.icon.placedSymbolArray,v=n.transform.width/n.transform.height,g=!1,y=0;yMath.abs(n.x-r.x)*i?{useVertical:!0}:(e===t.WritingMode.vertical?r.yn.x)?{needsFlipping:!0}:null}function le(e,r,n,i,a,o,s,l,u,c,f,h,p,d){var v,g=r/24,y=e.lineOffsetX*g,m=e.lineOffsetY*g;if(e.numGlyphs>1){var x=e.glyphStartIndex+e.numGlyphs,b=e.lineStartIndex,_=e.lineStartIndex+e.lineLength,w=oe(g,l,y,m,n,f,h,e,u,o,p);if(!w)return{notEnoughRoom:!0};var T=re(w.first.point,s).point,k=re(w.last.point,s).point;if(i&&!n){var A=se(e.writingMode,T,k,d);if(A)return A}v=[w.first];for(var M=e.glyphStartIndex+1;M0?C.point:ue(h,L,S,1,a),O=se(e.writingMode,S,P,d);if(O)return O}var I=ce(g*l.getoffsetX(e.glyphStartIndex),y,m,n,f,h,e.segment,e.lineStartIndex,e.lineStartIndex+e.lineLength,u,o,p);if(!I)return{notEnoughRoom:!0};v=[I]}for(var D=0,z=v;D0?1:-1,v=0;i&&(d*=-1,v=Math.PI),d<0&&(v+=Math.PI);for(var g=d>0?l+s:l+s+1,y=a,m=a,x=0,b=0,_=Math.abs(p),w=[];x+b<=_;){if((g+=d)=u)return null;if(m=y,w.push(y),void 0===(y=h[g])){var T=new t.Point(c.getx(g),c.gety(g)),k=re(T,f);if(k.signedDistanceFromCamera>0)y=h[g]=k.point;else{var A=g-d;y=ue(0===x?o:new t.Point(c.getx(A),c.gety(A)),T,m,_-x+1,f)}}x+=b,b=m.dist(y)}var M=(_-x)/b,S=y.sub(m),E=S.mult(M)._add(m);E._add(S._unit()._perp()._mult(n*d));var L=v+Math.atan2(y.y-m.y,y.x-m.x);return w.push(E),{point:E,angle:L,path:w}}Qt.prototype.keysLength=function(){return this.boxKeys.length+this.circleKeys.length},Qt.prototype.insert=function(t,e,r,n,i){this._forEachCell(e,r,n,i,this._insertBoxCell,this.boxUid++),this.boxKeys.push(t),this.bboxes.push(e),this.bboxes.push(r),this.bboxes.push(n),this.bboxes.push(i)},Qt.prototype.insertCircle=function(t,e,r,n){this._forEachCell(e-n,r-n,e+n,r+n,this._insertCircleCell,this.circleUid++),this.circleKeys.push(t),this.circles.push(e),this.circles.push(r),this.circles.push(n)},Qt.prototype._insertBoxCell=function(t,e,r,n,i,a){this.boxCells[i].push(a)},Qt.prototype._insertCircleCell=function(t,e,r,n,i,a){this.circleCells[i].push(a)},Qt.prototype._query=function(t,e,r,n,i,a){if(r<0||t>this.width||n<0||e>this.height)return!i&&[];var o=[];if(t<=0&&e<=0&&this.width<=r&&this.height<=n){if(i)return!0;for(var s=0;s0:o},Qt.prototype._queryCircle=function(t,e,r,n,i){var a=t-r,o=t+r,s=e-r,l=e+r;if(o<0||a>this.width||l<0||s>this.height)return!n&&[];var u=[],c={hitTest:n,circle:{x:t,y:e,radius:r},seenUids:{box:{},circle:{}}};return this._forEachCell(a,s,o,l,this._queryCellCircle,u,c,i),n?u.length>0:u},Qt.prototype.query=function(t,e,r,n,i){return this._query(t,e,r,n,!1,i)},Qt.prototype.hitTest=function(t,e,r,n,i){return this._query(t,e,r,n,!0,i)},Qt.prototype.hitTestCircle=function(t,e,r,n){return this._queryCircle(t,e,r,!0,n)},Qt.prototype._queryCell=function(t,e,r,n,i,a,o,s){var l=o.seenUids,u=this.boxCells[i];if(null!==u)for(var c=this.bboxes,f=0,h=u;f=c[d+0]&&n>=c[d+1]&&(!s||s(this.boxKeys[p]))){if(o.hitTest)return a.push(!0),!0;a.push({key:this.boxKeys[p],x1:c[d],y1:c[d+1],x2:c[d+2],y2:c[d+3]})}}}var v=this.circleCells[i];if(null!==v)for(var g=this.circles,y=0,m=v;yo*o+s*s},Qt.prototype._circleAndRectCollide=function(t,e,r,n,i,a,o){var s=(a-n)/2,l=Math.abs(t-(n+s));if(l>s+r)return!1;var u=(o-i)/2,c=Math.abs(e-(i+u));if(c>u+r)return!1;if(l<=s||c<=u)return!0;var f=l-s,h=c-u;return f*f+h*h<=r*r};var fe=new Float32Array([-1/0,-1/0,0,-1/0,-1/0,0,-1/0,-1/0,0,-1/0,-1/0,0]);function he(t,e){for(var r=0;r=1;P--)C.push(E.path[P]);for(var O=1;O0){for(var R=C[0].clone(),F=C[0].clone(),B=1;B=A.x&&F.x<=M.x&&R.y>=A.y&&F.y<=M.y?[C]:F.xM.x||F.yM.y?[]:t.clipLine([C],A.x,A.y,M.x,M.y)}for(var N=0,j=z;N=this.screenRightBoundary||nthis.screenBottomBoundary},ve.prototype.isInsideGrid=function(t,e,r,n){return r>=0&&t=0&&e0?(this.prevPlacement&&this.prevPlacement.variableOffsets[f.crossTileID]&&this.prevPlacement.placements[f.crossTileID]&&this.prevPlacement.placements[f.crossTileID].text&&(v=this.prevPlacement.variableOffsets[f.crossTileID].anchor),this.variableOffsets[f.crossTileID]={textOffset:g,width:r,height:n,anchor:t,textBoxScale:i,prevAnchor:v},this.markUsedJustification(h,t,f,p),h.allowVerticalPlacement&&(this.markUsedOrientation(h,p,f),this.placedOrientations[f.crossTileID]=p),{shift:y,placedGlyphBoxes:m}):void 0},Ae.prototype.placeLayerBucketPart=function(e,r,n){var i=this,a=e.parameters,o=a.bucket,s=a.layout,l=a.posMatrix,u=a.textLabelPlaneMatrix,c=a.labelToScreenMatrix,f=a.textPixelRatio,h=a.holdingForFade,p=a.collisionBoxArray,d=a.partiallyEvaluatedTextSize,v=a.collisionGroup,g=s.get("text-optional"),y=s.get("icon-optional"),m=s.get("text-allow-overlap"),x=s.get("icon-allow-overlap"),b="map"===s.get("text-rotation-alignment"),_="map"===s.get("text-pitch-alignment"),w="none"!==s.get("icon-text-fit"),T="viewport-y"===s.get("symbol-z-order"),k=m&&(x||!o.hasIconData()||y),A=x&&(m||!o.hasTextData()||g);!o.collisionArrays&&p&&o.deserializeCollisionBoxes(p);var M=function(e,a){if(!r[e.crossTileID])if(h)i.placements[e.crossTileID]=new xe(!1,!1,!1);else{var p,T=!1,M=!1,S=!0,E=null,L={box:null,offscreen:null},C={box:null,offscreen:null},P=null,O=null,I=0,D=0,z=0;a.textFeatureIndex?I=a.textFeatureIndex:e.useRuntimeCollisionCircles&&(I=e.featureIndex),a.verticalTextFeatureIndex&&(D=a.verticalTextFeatureIndex);var R=a.textBox;if(R){var F=function(r){var n=t.WritingMode.horizontal;if(o.allowVerticalPlacement&&!r&&i.prevPlacement){var a=i.prevPlacement.placedOrientations[e.crossTileID];a&&(i.placedOrientations[e.crossTileID]=a,n=a,i.markUsedOrientation(o,n,e))}return n},B=function(r,n){if(o.allowVerticalPlacement&&e.numVerticalGlyphVertices>0&&a.verticalTextBox)for(var i=0,s=o.writingModes;i0&&(N=N.filter((function(t){return t!==j.anchor}))).unshift(j.anchor)}var U=function(t,r,n){for(var a=t.x2-t.x1,s=t.y2-t.y1,u=e.textBoxScale,c=w&&!x?r:null,h={box:[],offscreen:!1},p=m?2*N.length:N.length,d=0;d=N.length,k=i.attemptAnchorPlacement(g,t,a,s,u,b,_,f,l,v,y,e,o,n,c);if(k&&(h=k.placedGlyphBoxes)&&h.box&&h.box.length){T=!0,E=k.shift;break}}return h};B((function(){return U(R,a.iconBox,t.WritingMode.horizontal)}),(function(){var r=a.verticalTextBox,n=L&&L.box&&L.box.length;return o.allowVerticalPlacement&&!n&&e.numVerticalGlyphVertices>0&&r?U(r,a.verticalIconBox,t.WritingMode.vertical):{box:null,offscreen:null}})),L&&(T=L.box,S=L.offscreen);var V=F(L&&L.box);if(!T&&i.prevPlacement){var q=i.prevPlacement.variableOffsets[e.crossTileID];q&&(i.variableOffsets[e.crossTileID]=q,i.markUsedJustification(o,q.anchor,e,V))}}else{var H=function(t,r){var n=i.collisionIndex.placeCollisionBox(t,m,f,l,v.predicate);return n&&n.box&&n.box.length&&(i.markUsedOrientation(o,r,e),i.placedOrientations[e.crossTileID]=r),n};B((function(){return H(R,t.WritingMode.horizontal)}),(function(){var r=a.verticalTextBox;return o.allowVerticalPlacement&&e.numVerticalGlyphVertices>0&&r?H(r,t.WritingMode.vertical):{box:null,offscreen:null}})),F(L&&L.box&&L.box.length)}}if(T=(p=L)&&p.box&&p.box.length>0,S=p&&p.offscreen,e.useRuntimeCollisionCircles){var G=o.text.placedSymbolArray.get(e.centerJustifiedTextSymbolIndex),W=t.evaluateSizeForFeature(o.textSizeData,d,G),Y=s.get("text-padding"),X=e.collisionCircleDiameter;P=i.collisionIndex.placeCollisionCircles(m,G,o.lineVertexArray,o.glyphOffsetArray,W,l,u,c,n,_,v.predicate,X,Y),T=m||P.circles.length>0&&!P.collisionDetected,S=S&&P.offscreen}if(a.iconFeatureIndex&&(z=a.iconFeatureIndex),a.iconBox){var Z=function(t){var e=w&&E?ke(t,E.x,E.y,b,_,i.transform.angle):t;return i.collisionIndex.placeCollisionBox(e,x,f,l,v.predicate)};M=C&&C.box&&C.box.length&&a.verticalIconBox?(O=Z(a.verticalIconBox)).box.length>0:(O=Z(a.iconBox)).box.length>0,S=S&&O.offscreen}var K=g||0===e.numHorizontalGlyphVertices&&0===e.numVerticalGlyphVertices,J=y||0===e.numIconVertices;if(K||J?J?K||(M=M&&T):T=M&&T:M=T=M&&T,T&&p&&p.box&&(C&&C.box&&D?i.collisionIndex.insertCollisionBox(p.box,s.get("text-ignore-placement"),o.bucketInstanceId,D,v.ID):i.collisionIndex.insertCollisionBox(p.box,s.get("text-ignore-placement"),o.bucketInstanceId,I,v.ID)),M&&O&&i.collisionIndex.insertCollisionBox(O.box,s.get("icon-ignore-placement"),o.bucketInstanceId,z,v.ID),P&&(T&&i.collisionIndex.insertCollisionCircles(P.circles,s.get("text-ignore-placement"),o.bucketInstanceId,I,v.ID),n)){var $=o.bucketInstanceId,Q=i.collisionCircleArrays[$];void 0===Q&&(Q=i.collisionCircleArrays[$]=new be);for(var tt=0;tt=0;--E){var L=S[E];M(o.symbolInstances.get(L),o.collisionArrays[L])}else for(var C=e.symbolInstanceStart;C=0&&(e.text.placedSymbolArray.get(u).crossTileID=a>=0&&u!==a?0:n.crossTileID)}},Ae.prototype.markUsedOrientation=function(e,r,n){for(var i=r===t.WritingMode.horizontal||r===t.WritingMode.horizontalOnly?r:0,a=r===t.WritingMode.vertical?r:0,o=0,s=[n.leftJustifiedTextSymbolIndex,n.centerJustifiedTextSymbolIndex,n.rightJustifiedTextSymbolIndex];o0||l>0,x=a.numIconVertices>0,b=i.placedOrientations[a.crossTileID],_=b===t.WritingMode.vertical,w=b===t.WritingMode.horizontal||b===t.WritingMode.horizontalOnly;if(m){var T=De(y.text),k=_?ze:T;d(e.text,s,k);var A=w?ze:T;d(e.text,l,A);var M=y.text.isHidden();[a.rightJustifiedTextSymbolIndex,a.centerJustifiedTextSymbolIndex,a.leftJustifiedTextSymbolIndex].forEach((function(t){t>=0&&(e.text.placedSymbolArray.get(t).hidden=M||_?1:0)})),a.verticalPlacedTextSymbolIndex>=0&&(e.text.placedSymbolArray.get(a.verticalPlacedTextSymbolIndex).hidden=M||w?1:0);var S=i.variableOffsets[a.crossTileID];S&&i.markUsedJustification(e,S.anchor,a,b);var E=i.placedOrientations[a.crossTileID];E&&(i.markUsedJustification(e,"left",a,E),i.markUsedOrientation(e,E,a))}if(x){var L=De(y.icon),C=!(h&&a.verticalPlacedIconSymbolIndex&&_);if(a.placedIconSymbolIndex>=0){var P=C?L:ze;d(e.icon,a.numIconVertices,P),e.icon.placedSymbolArray.get(a.placedIconSymbolIndex).hidden=y.icon.isHidden()}if(a.verticalPlacedIconSymbolIndex>=0){var O=C?ze:L;d(e.icon,a.numVerticalIconVertices,O),e.icon.placedSymbolArray.get(a.verticalPlacedIconSymbolIndex).hidden=y.icon.isHidden()}}if(e.hasIconCollisionBoxData()||e.hasTextCollisionBoxData()){var I=e.collisionArrays[n];if(I){var D=new t.Point(0,0);if(I.textBox||I.verticalTextBox){var z=!0;if(u){var R=i.variableOffsets[v];R?(D=Te(R.anchor,R.width,R.height,R.textOffset,R.textBoxScale),c&&D._rotate(f?i.transform.angle:-i.transform.angle)):z=!1}I.textBox&&Me(e.textCollisionBox.collisionVertexArray,y.text.placed,!z||_,D.x,D.y),I.verticalTextBox&&Me(e.textCollisionBox.collisionVertexArray,y.text.placed,!z||w,D.x,D.y)}var F=Boolean(!w&&I.verticalIconBox);I.iconBox&&Me(e.iconCollisionBox.collisionVertexArray,y.icon.placed,F,h?D.x:0,h?D.y:0),I.verticalIconBox&&Me(e.iconCollisionBox.collisionVertexArray,y.icon.placed,!F,h?D.x:0,h?D.y:0)}}},g=0;gt},Ae.prototype.setStale=function(){this.stale=!0};var Se=Math.pow(2,25),Ee=Math.pow(2,24),Le=Math.pow(2,17),Ce=Math.pow(2,16),Pe=Math.pow(2,9),Oe=Math.pow(2,8),Ie=Math.pow(2,1);function De(t){if(0===t.opacity&&!t.placed)return 0;if(1===t.opacity&&t.placed)return 4294967295;var e=t.placed?1:0,r=Math.floor(127*t.opacity);return r*Se+e*Ee+r*Le+e*Ce+r*Pe+e*Oe+r*Ie+e}var ze=0,Re=function(t){this._sortAcrossTiles="viewport-y"!==t.layout.get("symbol-z-order")&&void 0!==t.layout.get("symbol-sort-key").constantOr(1),this._currentTileIndex=0,this._currentPartIndex=0,this._seenCrossTileIDs={},this._bucketParts=[]};Re.prototype.continuePlacement=function(t,e,r,n,i){for(var a=this._bucketParts;this._currentTileIndex2};this._currentPlacementIndex>=0;){var s=r[e[this._currentPlacementIndex]],l=this.placement.collisionIndex.transform.zoom;if("symbol"===s.type&&(!s.minzoom||s.minzoom<=l)&&(!s.maxzoom||s.maxzoom>l)){if(this._inProgressLayer||(this._inProgressLayer=new Re(s)),this._inProgressLayer.continuePlacement(n[s.source],this.placement,this._showCollisionBoxes,s,o))return;delete this._inProgressLayer}this._currentPlacementIndex--}this._done=!0},Fe.prototype.commit=function(t){return this.placement.commit(t),this.placement};var Be=512/t.EXTENT/2,Ne=function(t,e,r){this.tileID=t,this.indexedSymbolInstances={},this.bucketInstanceId=r;for(var n=0;nt.overscaledZ)for(var s in o){var l=o[s];l.tileID.isChildOf(t)&&l.findMatches(e.symbolInstances,t,i)}else{var u=o[t.scaledTo(Number(a)).key];u&&u.findMatches(e.symbolInstances,t,i)}}for(var c=0;c1?"@2x":"",l=t.getJSON(r.transformRequest(r.normalizeSpriteURL(e,s,".json"),t.ResourceType.SpriteJSON),(function(t,e){l=null,o||(o=t,i=e,c())})),u=t.getImage(r.transformRequest(r.normalizeSpriteURL(e,s,".png"),t.ResourceType.SpriteImage),(function(t,e){u=null,o||(o=t,a=e,c())}));function c(){if(o)n(o);else if(i&&a){var e=t.browser.getImageData(a),r={};for(var s in i){var l=i[s],u=l.width,c=l.height,f=l.x,h=l.y,p=l.sdf,d=l.pixelRatio,v=l.stretchX,g=l.stretchY,y=l.content,m=new t.RGBAImage({width:u,height:c});t.RGBAImage.copy(e,m,{x:f,y:h},{x:0,y:0},{width:u,height:c}),r[s]={data:m,pixelRatio:d,sdf:p,stretchX:v,stretchY:g,content:y}}n(null,r)}}return{cancel:function(){l&&(l.cancel(),l=null),u&&(u.cancel(),u=null)}}}(e,this.map._requestManager,(function(e,n){if(r._spriteRequest=null,e)r.fire(new t.ErrorEvent(e));else if(n)for(var i in n)r.imageManager.addImage(i,n[i]);r.imageManager.setLoaded(!0),r._availableImages=r.imageManager.listImages(),r.dispatcher.broadcast("setImages",r._availableImages),r.fire(new t.Event("data",{dataType:"style"}))}))},r.prototype._validateLayer=function(e){var r=this.sourceCaches[e.source];if(r){var n=e.sourceLayer;if(n){var i=r.getSource();("geojson"===i.type||i.vectorLayerIds&&-1===i.vectorLayerIds.indexOf(n))&&this.fire(new t.ErrorEvent(new Error('Source layer "'+n+'" does not exist on source "'+i.id+'" as specified by style layer "'+e.id+'"')))}}},r.prototype.loaded=function(){if(!this._loaded)return!1;if(Object.keys(this._updatedSources).length)return!1;for(var t in this.sourceCaches)if(!this.sourceCaches[t].loaded())return!1;return!!this.imageManager.isLoaded()},r.prototype._serializeLayers=function(t){for(var e=[],r=0,n=t;r0)throw new Error("Unimplemented: "+i.map((function(t){return t.command})).join(", ")+".");return n.forEach((function(t){"setTransition"!==t.command&&r[t.command].apply(r,t.args)})),this.stylesheet=e,!0},r.prototype.addImage=function(e,r){if(this.getImage(e))return this.fire(new t.ErrorEvent(new Error("An image with this name already exists.")));this.imageManager.addImage(e,r),this._afterImageUpdated(e)},r.prototype.updateImage=function(t,e){this.imageManager.updateImage(t,e)},r.prototype.getImage=function(t){return this.imageManager.getImage(t)},r.prototype.removeImage=function(e){if(!this.getImage(e))return this.fire(new t.ErrorEvent(new Error("No image with this name exists.")));this.imageManager.removeImage(e),this._afterImageUpdated(e)},r.prototype._afterImageUpdated=function(e){this._availableImages=this.imageManager.listImages(),this._changedImages[e]=!0,this._changed=!0,this.dispatcher.broadcast("setImages",this._availableImages),this.fire(new t.Event("data",{dataType:"style"}))},r.prototype.listImages=function(){return this._checkLoaded(),this.imageManager.listImages()},r.prototype.addSource=function(e,r,n){var i=this;if(void 0===n&&(n={}),this._checkLoaded(),void 0!==this.sourceCaches[e])throw new Error("There is already a source with this ID");if(!r.type)throw new Error("The type property must be defined, but only the following properties were given: "+Object.keys(r).join(", ")+".");if(!(["vector","raster","geojson","video","image"].indexOf(r.type)>=0&&this._validate(t.validateStyle.source,"sources."+e,r,null,n))){this.map&&this.map._collectResourceTiming&&(r.collectResourceTiming=!0);var a=this.sourceCaches[e]=new Ot(e,r,this.dispatcher);a.style=this,a.setEventedParent(this,(function(){return{isSourceLoaded:i.loaded(),source:a.serialize(),sourceId:e}})),a.onAdd(this.map),this._changed=!0}},r.prototype.removeSource=function(e){if(this._checkLoaded(),void 0===this.sourceCaches[e])throw new Error("There is no source with this ID");for(var r in this._layers)if(this._layers[r].source===e)return this.fire(new t.ErrorEvent(new Error('Source "'+e+'" cannot be removed while layer "'+r+'" is using it.')));var n=this.sourceCaches[e];delete this.sourceCaches[e],delete this._updatedSources[e],n.fire(new t.Event("data",{sourceDataType:"metadata",dataType:"source",sourceId:e})),n.setEventedParent(null),n.clearTiles(),n.onRemove&&n.onRemove(this.map),this._changed=!0},r.prototype.setGeoJSONSourceData=function(t,e){this._checkLoaded(),this.sourceCaches[t].getSource().setData(e),this._changed=!0},r.prototype.getSource=function(t){return this.sourceCaches[t]&&this.sourceCaches[t].getSource()},r.prototype.addLayer=function(e,r,n){void 0===n&&(n={}),this._checkLoaded();var i=e.id;if(this.getLayer(i))this.fire(new t.ErrorEvent(new Error('Layer with id "'+i+'" already exists on this map')));else{var a;if("custom"===e.type){if(qe(this,t.validateCustomStyleLayer(e)))return;a=t.createStyleLayer(e)}else{if("object"==typeof e.source&&(this.addSource(i,e.source),e=t.clone$1(e),e=t.extend(e,{source:i})),this._validate(t.validateStyle.layer,"layers."+i,e,{arrayIndex:-1},n))return;a=t.createStyleLayer(e),this._validateLayer(a),a.setEventedParent(this,{layer:{id:i}}),this._serializedLayers[a.id]=a.serialize()}var o=r?this._order.indexOf(r):this._order.length;if(r&&-1===o)this.fire(new t.ErrorEvent(new Error('Layer with id "'+r+'" does not exist on this map.')));else{if(this._order.splice(o,0,i),this._layerOrderChanged=!0,this._layers[i]=a,this._removedLayers[i]&&a.source&&"custom"!==a.type){var s=this._removedLayers[i];delete this._removedLayers[i],s.type!==a.type?this._updatedSources[a.source]="clear":(this._updatedSources[a.source]="reload",this.sourceCaches[a.source].pause())}this._updateLayer(a),a.onAdd&&a.onAdd(this.map)}}},r.prototype.moveLayer=function(e,r){if(this._checkLoaded(),this._changed=!0,this._layers[e]){if(e!==r){var n=this._order.indexOf(e);this._order.splice(n,1);var i=r?this._order.indexOf(r):this._order.length;r&&-1===i?this.fire(new t.ErrorEvent(new Error('Layer with id "'+r+'" does not exist on this map.'))):(this._order.splice(i,0,e),this._layerOrderChanged=!0)}}else this.fire(new t.ErrorEvent(new Error("The layer '"+e+"' does not exist in the map's style and cannot be moved.")))},r.prototype.removeLayer=function(e){this._checkLoaded();var r=this._layers[e];if(r){r.setEventedParent(null);var n=this._order.indexOf(e);this._order.splice(n,1),this._layerOrderChanged=!0,this._changed=!0,this._removedLayers[e]=r,delete this._layers[e],delete this._serializedLayers[e],delete this._updatedLayers[e],delete this._updatedPaintProps[e],r.onRemove&&r.onRemove(this.map)}else this.fire(new t.ErrorEvent(new Error("The layer '"+e+"' does not exist in the map's style and cannot be removed.")))},r.prototype.getLayer=function(t){return this._layers[t]},r.prototype.hasLayer=function(t){return t in this._layers},r.prototype.setLayerZoomRange=function(e,r,n){this._checkLoaded();var i=this.getLayer(e);i?i.minzoom===r&&i.maxzoom===n||(null!=r&&(i.minzoom=r),null!=n&&(i.maxzoom=n),this._updateLayer(i)):this.fire(new t.ErrorEvent(new Error("The layer '"+e+"' does not exist in the map's style and cannot have zoom extent.")))},r.prototype.setFilter=function(e,r,n){void 0===n&&(n={}),this._checkLoaded();var i=this.getLayer(e);if(i){if(!t.deepEqual(i.filter,r))return null==r?(i.filter=void 0,void this._updateLayer(i)):void(this._validate(t.validateStyle.filter,"layers."+i.id+".filter",r,null,n)||(i.filter=t.clone$1(r),this._updateLayer(i)))}else this.fire(new t.ErrorEvent(new Error("The layer '"+e+"' does not exist in the map's style and cannot be filtered.")))},r.prototype.getFilter=function(e){return t.clone$1(this.getLayer(e).filter)},r.prototype.setLayoutProperty=function(e,r,n,i){void 0===i&&(i={}),this._checkLoaded();var a=this.getLayer(e);a?t.deepEqual(a.getLayoutProperty(r),n)||(a.setLayoutProperty(r,n,i),this._updateLayer(a)):this.fire(new t.ErrorEvent(new Error("The layer '"+e+"' does not exist in the map's style and cannot be styled.")))},r.prototype.getLayoutProperty=function(e,r){var n=this.getLayer(e);if(n)return n.getLayoutProperty(r);this.fire(new t.ErrorEvent(new Error("The layer '"+e+"' does not exist in the map's style.")))},r.prototype.setPaintProperty=function(e,r,n,i){void 0===i&&(i={}),this._checkLoaded();var a=this.getLayer(e);a?t.deepEqual(a.getPaintProperty(r),n)||(a.setPaintProperty(r,n,i)&&this._updateLayer(a),this._changed=!0,this._updatedPaintProps[e]=!0):this.fire(new t.ErrorEvent(new Error("The layer '"+e+"' does not exist in the map's style and cannot be styled.")))},r.prototype.getPaintProperty=function(t,e){return this.getLayer(t).getPaintProperty(e)},r.prototype.setFeatureState=function(e,r){this._checkLoaded();var n=e.source,i=e.sourceLayer,a=this.sourceCaches[n];if(void 0!==a){var o=a.getSource().type;"geojson"===o&&i?this.fire(new t.ErrorEvent(new Error("GeoJSON sources cannot have a sourceLayer parameter."))):"vector"!==o||i?(void 0===e.id&&this.fire(new t.ErrorEvent(new Error("The feature id parameter must be provided."))),a.setFeatureState(i,e.id,r)):this.fire(new t.ErrorEvent(new Error("The sourceLayer parameter must be provided for vector source types.")))}else this.fire(new t.ErrorEvent(new Error("The source '"+n+"' does not exist in the map's style.")))},r.prototype.removeFeatureState=function(e,r){this._checkLoaded();var n=e.source,i=this.sourceCaches[n];if(void 0!==i){var a=i.getSource().type,o="vector"===a?e.sourceLayer:void 0;"vector"!==a||o?r&&"string"!=typeof e.id&&"number"!=typeof e.id?this.fire(new t.ErrorEvent(new Error("A feature id is required to remove its specific state property."))):i.removeFeatureState(o,e.id,r):this.fire(new t.ErrorEvent(new Error("The sourceLayer parameter must be provided for vector source types.")))}else this.fire(new t.ErrorEvent(new Error("The source '"+n+"' does not exist in the map's style.")))},r.prototype.getFeatureState=function(e){this._checkLoaded();var r=e.source,n=e.sourceLayer,i=this.sourceCaches[r];if(void 0!==i){if("vector"!==i.getSource().type||n)return void 0===e.id&&this.fire(new t.ErrorEvent(new Error("The feature id parameter must be provided."))),i.getFeatureState(n,e.id);this.fire(new t.ErrorEvent(new Error("The sourceLayer parameter must be provided for vector source types.")))}else this.fire(new t.ErrorEvent(new Error("The source '"+r+"' does not exist in the map's style.")))},r.prototype.getTransition=function(){return t.extend({duration:300,delay:0},this.stylesheet&&this.stylesheet.transition)},r.prototype.serialize=function(){return t.filterObject({version:this.stylesheet.version,name:this.stylesheet.name,metadata:this.stylesheet.metadata,light:this.stylesheet.light,center:this.stylesheet.center,zoom:this.stylesheet.zoom,bearing:this.stylesheet.bearing,pitch:this.stylesheet.pitch,sprite:this.stylesheet.sprite,glyphs:this.stylesheet.glyphs,transition:this.stylesheet.transition,sources:t.mapObject(this.sourceCaches,(function(t){return t.serialize()})),layers:this._serializeLayers(this._order)},(function(t){return void 0!==t}))},r.prototype._updateLayer=function(t){this._updatedLayers[t.id]=!0,t.source&&!this._updatedSources[t.source]&&"raster"!==this.sourceCaches[t.source].getSource().type&&(this._updatedSources[t.source]="reload",this.sourceCaches[t.source].pause()),this._changed=!0},r.prototype._flattenAndSortRenderedFeatures=function(t){for(var e=this,r=function(t){return"fill-extrusion"===e._layers[t].type},n={},i=[],a=this._order.length-1;a>=0;a--){var o=this._order[a];if(r(o)){n[o]=a;for(var s=0,l=t;s=0;d--){var v=this._order[d];if(r(v))for(var g=i.length-1;g>=0;g--){var y=i[g].feature;if(n[y.layer.id] 0.5) {gl_FragColor=vec4(0.0,0.0,1.0,0.5)*alpha;}if (v_notUsed > 0.5) {gl_FragColor*=.1;}}","attribute vec2 a_pos;attribute vec2 a_anchor_pos;attribute vec2 a_extrude;attribute vec2 a_placed;attribute vec2 a_shift;uniform mat4 u_matrix;uniform vec2 u_extrude_scale;uniform float u_camera_to_center_distance;varying float v_placed;varying float v_notUsed;void main() {vec4 projectedPoint=u_matrix*vec4(a_anchor_pos,0,1);highp float camera_to_anchor_distance=projectedPoint.w;highp float collision_perspective_ratio=clamp(0.5+0.5*(u_camera_to_center_distance/camera_to_anchor_distance),0.0,4.0);gl_Position=u_matrix*vec4(a_pos,0.0,1.0);gl_Position.xy+=(a_extrude+a_shift)*u_extrude_scale*gl_Position.w*collision_perspective_ratio;v_placed=a_placed.x;v_notUsed=a_placed.y;}"),nr=_r("varying float v_radius;varying vec2 v_extrude;varying float v_perspective_ratio;varying float v_collision;void main() {float alpha=0.5*min(v_perspective_ratio,1.0);float stroke_radius=0.9*max(v_perspective_ratio,1.0);float distance_to_center=length(v_extrude);float distance_to_edge=abs(distance_to_center-v_radius);float opacity_t=smoothstep(-stroke_radius,0.0,-distance_to_edge);vec4 color=mix(vec4(0.0,0.0,1.0,0.5),vec4(1.0,0.0,0.0,1.0),v_collision);gl_FragColor=color*alpha*opacity_t;}","attribute vec2 a_pos;attribute float a_radius;attribute vec2 a_flags;uniform mat4 u_matrix;uniform mat4 u_inv_matrix;uniform vec2 u_viewport_size;uniform float u_camera_to_center_distance;varying float v_radius;varying vec2 v_extrude;varying float v_perspective_ratio;varying float v_collision;vec3 toTilePosition(vec2 screenPos) {vec4 rayStart=u_inv_matrix*vec4(screenPos,-1.0,1.0);vec4 rayEnd =u_inv_matrix*vec4(screenPos, 1.0,1.0);rayStart.xyz/=rayStart.w;rayEnd.xyz /=rayEnd.w;highp float t=(0.0-rayStart.z)/(rayEnd.z-rayStart.z);return mix(rayStart.xyz,rayEnd.xyz,t);}void main() {vec2 quadCenterPos=a_pos;float radius=a_radius;float collision=a_flags.x;float vertexIdx=a_flags.y;vec2 quadVertexOffset=vec2(mix(-1.0,1.0,float(vertexIdx >=2.0)),mix(-1.0,1.0,float(vertexIdx >=1.0 && vertexIdx <=2.0)));vec2 quadVertexExtent=quadVertexOffset*radius;vec3 tilePos=toTilePosition(quadCenterPos);vec4 clipPos=u_matrix*vec4(tilePos,1.0);highp float camera_to_anchor_distance=clipPos.w;highp float collision_perspective_ratio=clamp(0.5+0.5*(u_camera_to_center_distance/camera_to_anchor_distance),0.0,4.0);float padding_factor=1.2;v_radius=radius;v_extrude=quadVertexExtent*padding_factor;v_perspective_ratio=collision_perspective_ratio;v_collision=collision;gl_Position=vec4(clipPos.xyz/clipPos.w,1.0)+vec4(quadVertexExtent*padding_factor/u_viewport_size*2.0,0.0,0.0);}"),ir=_r("uniform highp vec4 u_color;uniform sampler2D u_overlay;varying vec2 v_uv;void main() {vec4 overlay_color=texture2D(u_overlay,v_uv);gl_FragColor=mix(u_color,overlay_color,overlay_color.a);}","attribute vec2 a_pos;varying vec2 v_uv;uniform mat4 u_matrix;uniform float u_overlay_scale;void main() {v_uv=a_pos/8192.0;gl_Position=u_matrix*vec4(a_pos*u_overlay_scale,0,1);}"),ar=_r("#pragma mapbox: define highp vec4 color\n#pragma mapbox: define lowp float opacity\nvoid main() {\n#pragma mapbox: initialize highp vec4 color\n#pragma mapbox: initialize lowp float opacity\ngl_FragColor=color*opacity;\n#ifdef OVERDRAW_INSPECTOR\ngl_FragColor=vec4(1.0);\n#endif\n}","attribute vec2 a_pos;uniform mat4 u_matrix;\n#pragma mapbox: define highp vec4 color\n#pragma mapbox: define lowp float opacity\nvoid main() {\n#pragma mapbox: initialize highp vec4 color\n#pragma mapbox: initialize lowp float opacity\ngl_Position=u_matrix*vec4(a_pos,0,1);}"),or=_r("varying vec2 v_pos;\n#pragma mapbox: define highp vec4 outline_color\n#pragma mapbox: define lowp float opacity\nvoid main() {\n#pragma mapbox: initialize highp vec4 outline_color\n#pragma mapbox: initialize lowp float opacity\nfloat dist=length(v_pos-gl_FragCoord.xy);float alpha=1.0-smoothstep(0.0,1.0,dist);gl_FragColor=outline_color*(alpha*opacity);\n#ifdef OVERDRAW_INSPECTOR\ngl_FragColor=vec4(1.0);\n#endif\n}","attribute vec2 a_pos;uniform mat4 u_matrix;uniform vec2 u_world;varying vec2 v_pos;\n#pragma mapbox: define highp vec4 outline_color\n#pragma mapbox: define lowp float opacity\nvoid main() {\n#pragma mapbox: initialize highp vec4 outline_color\n#pragma mapbox: initialize lowp float opacity\ngl_Position=u_matrix*vec4(a_pos,0,1);v_pos=(gl_Position.xy/gl_Position.w+1.0)/2.0*u_world;}"),sr=_r("uniform vec2 u_texsize;uniform sampler2D u_image;uniform float u_fade;varying vec2 v_pos_a;varying vec2 v_pos_b;varying vec2 v_pos;\n#pragma mapbox: define lowp float opacity\n#pragma mapbox: define lowp vec4 pattern_from\n#pragma mapbox: define lowp vec4 pattern_to\nvoid main() {\n#pragma mapbox: initialize lowp float opacity\n#pragma mapbox: initialize mediump vec4 pattern_from\n#pragma mapbox: initialize mediump vec4 pattern_to\nvec2 pattern_tl_a=pattern_from.xy;vec2 pattern_br_a=pattern_from.zw;vec2 pattern_tl_b=pattern_to.xy;vec2 pattern_br_b=pattern_to.zw;vec2 imagecoord=mod(v_pos_a,1.0);vec2 pos=mix(pattern_tl_a/u_texsize,pattern_br_a/u_texsize,imagecoord);vec4 color1=texture2D(u_image,pos);vec2 imagecoord_b=mod(v_pos_b,1.0);vec2 pos2=mix(pattern_tl_b/u_texsize,pattern_br_b/u_texsize,imagecoord_b);vec4 color2=texture2D(u_image,pos2);float dist=length(v_pos-gl_FragCoord.xy);float alpha=1.0-smoothstep(0.0,1.0,dist);gl_FragColor=mix(color1,color2,u_fade)*alpha*opacity;\n#ifdef OVERDRAW_INSPECTOR\ngl_FragColor=vec4(1.0);\n#endif\n}","uniform mat4 u_matrix;uniform vec2 u_world;uniform vec2 u_pixel_coord_upper;uniform vec2 u_pixel_coord_lower;uniform vec3 u_scale;attribute vec2 a_pos;varying vec2 v_pos_a;varying vec2 v_pos_b;varying vec2 v_pos;\n#pragma mapbox: define lowp float opacity\n#pragma mapbox: define lowp vec4 pattern_from\n#pragma mapbox: define lowp vec4 pattern_to\n#pragma mapbox: define lowp float pixel_ratio_from\n#pragma mapbox: define lowp float pixel_ratio_to\nvoid main() {\n#pragma mapbox: initialize lowp float opacity\n#pragma mapbox: initialize mediump vec4 pattern_from\n#pragma mapbox: initialize mediump vec4 pattern_to\n#pragma mapbox: initialize lowp float pixel_ratio_from\n#pragma mapbox: initialize lowp float pixel_ratio_to\nvec2 pattern_tl_a=pattern_from.xy;vec2 pattern_br_a=pattern_from.zw;vec2 pattern_tl_b=pattern_to.xy;vec2 pattern_br_b=pattern_to.zw;float tileRatio=u_scale.x;float fromScale=u_scale.y;float toScale=u_scale.z;gl_Position=u_matrix*vec4(a_pos,0,1);vec2 display_size_a=(pattern_br_a-pattern_tl_a)/pixel_ratio_from;vec2 display_size_b=(pattern_br_b-pattern_tl_b)/pixel_ratio_to;v_pos_a=get_pattern_pos(u_pixel_coord_upper,u_pixel_coord_lower,fromScale*display_size_a,tileRatio,a_pos);v_pos_b=get_pattern_pos(u_pixel_coord_upper,u_pixel_coord_lower,toScale*display_size_b,tileRatio,a_pos);v_pos=(gl_Position.xy/gl_Position.w+1.0)/2.0*u_world;}"),lr=_r("uniform vec2 u_texsize;uniform float u_fade;uniform sampler2D u_image;varying vec2 v_pos_a;varying vec2 v_pos_b;\n#pragma mapbox: define lowp float opacity\n#pragma mapbox: define lowp vec4 pattern_from\n#pragma mapbox: define lowp vec4 pattern_to\nvoid main() {\n#pragma mapbox: initialize lowp float opacity\n#pragma mapbox: initialize mediump vec4 pattern_from\n#pragma mapbox: initialize mediump vec4 pattern_to\nvec2 pattern_tl_a=pattern_from.xy;vec2 pattern_br_a=pattern_from.zw;vec2 pattern_tl_b=pattern_to.xy;vec2 pattern_br_b=pattern_to.zw;vec2 imagecoord=mod(v_pos_a,1.0);vec2 pos=mix(pattern_tl_a/u_texsize,pattern_br_a/u_texsize,imagecoord);vec4 color1=texture2D(u_image,pos);vec2 imagecoord_b=mod(v_pos_b,1.0);vec2 pos2=mix(pattern_tl_b/u_texsize,pattern_br_b/u_texsize,imagecoord_b);vec4 color2=texture2D(u_image,pos2);gl_FragColor=mix(color1,color2,u_fade)*opacity;\n#ifdef OVERDRAW_INSPECTOR\ngl_FragColor=vec4(1.0);\n#endif\n}","uniform mat4 u_matrix;uniform vec2 u_pixel_coord_upper;uniform vec2 u_pixel_coord_lower;uniform vec3 u_scale;attribute vec2 a_pos;varying vec2 v_pos_a;varying vec2 v_pos_b;\n#pragma mapbox: define lowp float opacity\n#pragma mapbox: define lowp vec4 pattern_from\n#pragma mapbox: define lowp vec4 pattern_to\n#pragma mapbox: define lowp float pixel_ratio_from\n#pragma mapbox: define lowp float pixel_ratio_to\nvoid main() {\n#pragma mapbox: initialize lowp float opacity\n#pragma mapbox: initialize mediump vec4 pattern_from\n#pragma mapbox: initialize mediump vec4 pattern_to\n#pragma mapbox: initialize lowp float pixel_ratio_from\n#pragma mapbox: initialize lowp float pixel_ratio_to\nvec2 pattern_tl_a=pattern_from.xy;vec2 pattern_br_a=pattern_from.zw;vec2 pattern_tl_b=pattern_to.xy;vec2 pattern_br_b=pattern_to.zw;float tileZoomRatio=u_scale.x;float fromScale=u_scale.y;float toScale=u_scale.z;vec2 display_size_a=(pattern_br_a-pattern_tl_a)/pixel_ratio_from;vec2 display_size_b=(pattern_br_b-pattern_tl_b)/pixel_ratio_to;gl_Position=u_matrix*vec4(a_pos,0,1);v_pos_a=get_pattern_pos(u_pixel_coord_upper,u_pixel_coord_lower,fromScale*display_size_a,tileZoomRatio,a_pos);v_pos_b=get_pattern_pos(u_pixel_coord_upper,u_pixel_coord_lower,toScale*display_size_b,tileZoomRatio,a_pos);}"),ur=_r("varying vec4 v_color;void main() {gl_FragColor=v_color;\n#ifdef OVERDRAW_INSPECTOR\ngl_FragColor=vec4(1.0);\n#endif\n}","uniform mat4 u_matrix;uniform vec3 u_lightcolor;uniform lowp vec3 u_lightpos;uniform lowp float u_lightintensity;uniform float u_vertical_gradient;uniform lowp float u_opacity;attribute vec2 a_pos;attribute vec4 a_normal_ed;varying vec4 v_color;\n#pragma mapbox: define highp float base\n#pragma mapbox: define highp float height\n#pragma mapbox: define highp vec4 color\nvoid main() {\n#pragma mapbox: initialize highp float base\n#pragma mapbox: initialize highp float height\n#pragma mapbox: initialize highp vec4 color\nvec3 normal=a_normal_ed.xyz;base=max(0.0,base);height=max(0.0,height);float t=mod(normal.x,2.0);gl_Position=u_matrix*vec4(a_pos,t > 0.0 ? height : base,1);float colorvalue=color.r*0.2126+color.g*0.7152+color.b*0.0722;v_color=vec4(0.0,0.0,0.0,1.0);vec4 ambientlight=vec4(0.03,0.03,0.03,1.0);color+=ambientlight;float directional=clamp(dot(normal/16384.0,u_lightpos),0.0,1.0);directional=mix((1.0-u_lightintensity),max((1.0-colorvalue+u_lightintensity),1.0),directional);if (normal.y !=0.0) {directional*=((1.0-u_vertical_gradient)+(u_vertical_gradient*clamp((t+base)*pow(height/150.0,0.5),mix(0.7,0.98,1.0-u_lightintensity),1.0)));}v_color.r+=clamp(color.r*directional*u_lightcolor.r,mix(0.0,0.3,1.0-u_lightcolor.r),1.0);v_color.g+=clamp(color.g*directional*u_lightcolor.g,mix(0.0,0.3,1.0-u_lightcolor.g),1.0);v_color.b+=clamp(color.b*directional*u_lightcolor.b,mix(0.0,0.3,1.0-u_lightcolor.b),1.0);v_color*=u_opacity;}"),cr=_r("uniform vec2 u_texsize;uniform float u_fade;uniform sampler2D u_image;varying vec2 v_pos_a;varying vec2 v_pos_b;varying vec4 v_lighting;\n#pragma mapbox: define lowp float base\n#pragma mapbox: define lowp float height\n#pragma mapbox: define lowp vec4 pattern_from\n#pragma mapbox: define lowp vec4 pattern_to\n#pragma mapbox: define lowp float pixel_ratio_from\n#pragma mapbox: define lowp float pixel_ratio_to\nvoid main() {\n#pragma mapbox: initialize lowp float base\n#pragma mapbox: initialize lowp float height\n#pragma mapbox: initialize mediump vec4 pattern_from\n#pragma mapbox: initialize mediump vec4 pattern_to\n#pragma mapbox: initialize lowp float pixel_ratio_from\n#pragma mapbox: initialize lowp float pixel_ratio_to\nvec2 pattern_tl_a=pattern_from.xy;vec2 pattern_br_a=pattern_from.zw;vec2 pattern_tl_b=pattern_to.xy;vec2 pattern_br_b=pattern_to.zw;vec2 imagecoord=mod(v_pos_a,1.0);vec2 pos=mix(pattern_tl_a/u_texsize,pattern_br_a/u_texsize,imagecoord);vec4 color1=texture2D(u_image,pos);vec2 imagecoord_b=mod(v_pos_b,1.0);vec2 pos2=mix(pattern_tl_b/u_texsize,pattern_br_b/u_texsize,imagecoord_b);vec4 color2=texture2D(u_image,pos2);vec4 mixedColor=mix(color1,color2,u_fade);gl_FragColor=mixedColor*v_lighting;\n#ifdef OVERDRAW_INSPECTOR\ngl_FragColor=vec4(1.0);\n#endif\n}","uniform mat4 u_matrix;uniform vec2 u_pixel_coord_upper;uniform vec2 u_pixel_coord_lower;uniform float u_height_factor;uniform vec3 u_scale;uniform float u_vertical_gradient;uniform lowp float u_opacity;uniform vec3 u_lightcolor;uniform lowp vec3 u_lightpos;uniform lowp float u_lightintensity;attribute vec2 a_pos;attribute vec4 a_normal_ed;varying vec2 v_pos_a;varying vec2 v_pos_b;varying vec4 v_lighting;\n#pragma mapbox: define lowp float base\n#pragma mapbox: define lowp float height\n#pragma mapbox: define lowp vec4 pattern_from\n#pragma mapbox: define lowp vec4 pattern_to\n#pragma mapbox: define lowp float pixel_ratio_from\n#pragma mapbox: define lowp float pixel_ratio_to\nvoid main() {\n#pragma mapbox: initialize lowp float base\n#pragma mapbox: initialize lowp float height\n#pragma mapbox: initialize mediump vec4 pattern_from\n#pragma mapbox: initialize mediump vec4 pattern_to\n#pragma mapbox: initialize lowp float pixel_ratio_from\n#pragma mapbox: initialize lowp float pixel_ratio_to\nvec2 pattern_tl_a=pattern_from.xy;vec2 pattern_br_a=pattern_from.zw;vec2 pattern_tl_b=pattern_to.xy;vec2 pattern_br_b=pattern_to.zw;float tileRatio=u_scale.x;float fromScale=u_scale.y;float toScale=u_scale.z;vec3 normal=a_normal_ed.xyz;float edgedistance=a_normal_ed.w;vec2 display_size_a=(pattern_br_a-pattern_tl_a)/pixel_ratio_from;vec2 display_size_b=(pattern_br_b-pattern_tl_b)/pixel_ratio_to;base=max(0.0,base);height=max(0.0,height);float t=mod(normal.x,2.0);float z=t > 0.0 ? height : base;gl_Position=u_matrix*vec4(a_pos,z,1);vec2 pos=normal.x==1.0 && normal.y==0.0 && normal.z==16384.0\n? a_pos\n: vec2(edgedistance,z*u_height_factor);v_pos_a=get_pattern_pos(u_pixel_coord_upper,u_pixel_coord_lower,fromScale*display_size_a,tileRatio,pos);v_pos_b=get_pattern_pos(u_pixel_coord_upper,u_pixel_coord_lower,toScale*display_size_b,tileRatio,pos);v_lighting=vec4(0.0,0.0,0.0,1.0);float directional=clamp(dot(normal/16383.0,u_lightpos),0.0,1.0);directional=mix((1.0-u_lightintensity),max((0.5+u_lightintensity),1.0),directional);if (normal.y !=0.0) {directional*=((1.0-u_vertical_gradient)+(u_vertical_gradient*clamp((t+base)*pow(height/150.0,0.5),mix(0.7,0.98,1.0-u_lightintensity),1.0)));}v_lighting.rgb+=clamp(directional*u_lightcolor,mix(vec3(0.0),vec3(0.3),1.0-u_lightcolor),vec3(1.0));v_lighting*=u_opacity;}"),fr=_r("#ifdef GL_ES\nprecision highp float;\n#endif\nuniform sampler2D u_image;varying vec2 v_pos;uniform vec2 u_dimension;uniform float u_zoom;uniform vec4 u_unpack;float getElevation(vec2 coord,float bias) {vec4 data=texture2D(u_image,coord)*255.0;data.a=-1.0;return dot(data,u_unpack)/4.0;}void main() {vec2 epsilon=1.0/u_dimension;float a=getElevation(v_pos+vec2(-epsilon.x,-epsilon.y),0.0);float b=getElevation(v_pos+vec2(0,-epsilon.y),0.0);float c=getElevation(v_pos+vec2(epsilon.x,-epsilon.y),0.0);float d=getElevation(v_pos+vec2(-epsilon.x,0),0.0);float e=getElevation(v_pos,0.0);float f=getElevation(v_pos+vec2(epsilon.x,0),0.0);float g=getElevation(v_pos+vec2(-epsilon.x,epsilon.y),0.0);float h=getElevation(v_pos+vec2(0,epsilon.y),0.0);float i=getElevation(v_pos+vec2(epsilon.x,epsilon.y),0.0);float exaggerationFactor=u_zoom < 2.0 ? 0.4 : u_zoom < 4.5 ? 0.35 : 0.3;float exaggeration=u_zoom < 15.0 ? (u_zoom-15.0)*exaggerationFactor : 0.0;vec2 deriv=vec2((c+f+f+i)-(a+d+d+g),(g+h+h+i)-(a+b+b+c))/pow(2.0,exaggeration+(19.2562-u_zoom));gl_FragColor=clamp(vec4(deriv.x/2.0+0.5,deriv.y/2.0+0.5,1.0,1.0),0.0,1.0);\n#ifdef OVERDRAW_INSPECTOR\ngl_FragColor=vec4(1.0);\n#endif\n}","uniform mat4 u_matrix;uniform vec2 u_dimension;attribute vec2 a_pos;attribute vec2 a_texture_pos;varying vec2 v_pos;void main() {gl_Position=u_matrix*vec4(a_pos,0,1);highp vec2 epsilon=1.0/u_dimension;float scale=(u_dimension.x-2.0)/u_dimension.x;v_pos=(a_texture_pos/8192.0)*scale+epsilon;}"),hr=_r("uniform sampler2D u_image;varying vec2 v_pos;uniform vec2 u_latrange;uniform vec2 u_light;uniform vec4 u_shadow;uniform vec4 u_highlight;uniform vec4 u_accent;\n#define PI 3.141592653589793\nvoid main() {vec4 pixel=texture2D(u_image,v_pos);vec2 deriv=((pixel.rg*2.0)-1.0);float scaleFactor=cos(radians((u_latrange[0]-u_latrange[1])*(1.0-v_pos.y)+u_latrange[1]));float slope=atan(1.25*length(deriv)/scaleFactor);float aspect=deriv.x !=0.0 ? atan(deriv.y,-deriv.x) : PI/2.0*(deriv.y > 0.0 ? 1.0 :-1.0);float intensity=u_light.x;float azimuth=u_light.y+PI;float base=1.875-intensity*1.75;float maxValue=0.5*PI;float scaledSlope=intensity !=0.5 ? ((pow(base,slope)-1.0)/(pow(base,maxValue)-1.0))*maxValue : slope;float accent=cos(scaledSlope);vec4 accent_color=(1.0-accent)*u_accent*clamp(intensity*2.0,0.0,1.0);float shade=abs(mod((aspect+azimuth)/PI+0.5,2.0)-1.0);vec4 shade_color=mix(u_shadow,u_highlight,shade)*sin(scaledSlope)*clamp(intensity*2.0,0.0,1.0);gl_FragColor=accent_color*(1.0-shade_color.a)+shade_color;\n#ifdef OVERDRAW_INSPECTOR\ngl_FragColor=vec4(1.0);\n#endif\n}","uniform mat4 u_matrix;attribute vec2 a_pos;attribute vec2 a_texture_pos;varying vec2 v_pos;void main() {gl_Position=u_matrix*vec4(a_pos,0,1);v_pos=a_texture_pos/8192.0;}"),pr=_r("uniform lowp float u_device_pixel_ratio;varying vec2 v_width2;varying vec2 v_normal;varying float v_gamma_scale;\n#pragma mapbox: define highp vec4 color\n#pragma mapbox: define lowp float blur\n#pragma mapbox: define lowp float opacity\nvoid main() {\n#pragma mapbox: initialize highp vec4 color\n#pragma mapbox: initialize lowp float blur\n#pragma mapbox: initialize lowp float opacity\nfloat dist=length(v_normal)*v_width2.s;float blur2=(blur+1.0/u_device_pixel_ratio)*v_gamma_scale;float alpha=clamp(min(dist-(v_width2.t-blur2),v_width2.s-dist)/blur2,0.0,1.0);gl_FragColor=color*(alpha*opacity);\n#ifdef OVERDRAW_INSPECTOR\ngl_FragColor=vec4(1.0);\n#endif\n}","\n#define scale 0.015873016\nattribute vec2 a_pos_normal;attribute vec4 a_data;uniform mat4 u_matrix;uniform mediump float u_ratio;uniform vec2 u_units_to_pixels;uniform lowp float u_device_pixel_ratio;varying vec2 v_normal;varying vec2 v_width2;varying float v_gamma_scale;varying highp float v_linesofar;\n#pragma mapbox: define highp vec4 color\n#pragma mapbox: define lowp float blur\n#pragma mapbox: define lowp float opacity\n#pragma mapbox: define mediump float gapwidth\n#pragma mapbox: define lowp float offset\n#pragma mapbox: define mediump float width\nvoid main() {\n#pragma mapbox: initialize highp vec4 color\n#pragma mapbox: initialize lowp float blur\n#pragma mapbox: initialize lowp float opacity\n#pragma mapbox: initialize mediump float gapwidth\n#pragma mapbox: initialize lowp float offset\n#pragma mapbox: initialize mediump float width\nfloat ANTIALIASING=1.0/u_device_pixel_ratio/2.0;vec2 a_extrude=a_data.xy-128.0;float a_direction=mod(a_data.z,4.0)-1.0;v_linesofar=(floor(a_data.z/4.0)+a_data.w*64.0)*2.0;vec2 pos=floor(a_pos_normal*0.5);mediump vec2 normal=a_pos_normal-2.0*pos;normal.y=normal.y*2.0-1.0;v_normal=normal;gapwidth=gapwidth/2.0;float halfwidth=width/2.0;offset=-1.0*offset;float inset=gapwidth+(gapwidth > 0.0 ? ANTIALIASING : 0.0);float outset=gapwidth+halfwidth*(gapwidth > 0.0 ? 2.0 : 1.0)+(halfwidth==0.0 ? 0.0 : ANTIALIASING);mediump vec2 dist=outset*a_extrude*scale;mediump float u=0.5*a_direction;mediump float t=1.0-abs(u);mediump vec2 offset2=offset*a_extrude*scale*normal.y*mat2(t,-u,u,t);vec4 projected_extrude=u_matrix*vec4(dist/u_ratio,0.0,0.0);gl_Position=u_matrix*vec4(pos+offset2/u_ratio,0.0,1.0)+projected_extrude;float extrude_length_without_perspective=length(dist);float extrude_length_with_perspective=length(projected_extrude.xy/gl_Position.w*u_units_to_pixels);v_gamma_scale=extrude_length_without_perspective/extrude_length_with_perspective;v_width2=vec2(outset,inset);}"),dr=_r("uniform lowp float u_device_pixel_ratio;uniform sampler2D u_image;varying vec2 v_width2;varying vec2 v_normal;varying float v_gamma_scale;varying highp vec2 v_uv;\n#pragma mapbox: define lowp float blur\n#pragma mapbox: define lowp float opacity\nvoid main() {\n#pragma mapbox: initialize lowp float blur\n#pragma mapbox: initialize lowp float opacity\nfloat dist=length(v_normal)*v_width2.s;float blur2=(blur+1.0/u_device_pixel_ratio)*v_gamma_scale;float alpha=clamp(min(dist-(v_width2.t-blur2),v_width2.s-dist)/blur2,0.0,1.0);vec4 color=texture2D(u_image,v_uv);gl_FragColor=color*(alpha*opacity);\n#ifdef OVERDRAW_INSPECTOR\ngl_FragColor=vec4(1.0);\n#endif\n}","\n#define scale 0.015873016\nattribute vec2 a_pos_normal;attribute vec4 a_data;attribute float a_uv_x;attribute float a_split_index;uniform mat4 u_matrix;uniform mediump float u_ratio;uniform lowp float u_device_pixel_ratio;uniform vec2 u_units_to_pixels;uniform float u_image_height;varying vec2 v_normal;varying vec2 v_width2;varying float v_gamma_scale;varying highp vec2 v_uv;\n#pragma mapbox: define lowp float blur\n#pragma mapbox: define lowp float opacity\n#pragma mapbox: define mediump float gapwidth\n#pragma mapbox: define lowp float offset\n#pragma mapbox: define mediump float width\nvoid main() {\n#pragma mapbox: initialize lowp float blur\n#pragma mapbox: initialize lowp float opacity\n#pragma mapbox: initialize mediump float gapwidth\n#pragma mapbox: initialize lowp float offset\n#pragma mapbox: initialize mediump float width\nfloat ANTIALIASING=1.0/u_device_pixel_ratio/2.0;vec2 a_extrude=a_data.xy-128.0;float a_direction=mod(a_data.z,4.0)-1.0;highp float texel_height=1.0/u_image_height;highp float half_texel_height=0.5*texel_height;v_uv=vec2(a_uv_x,a_split_index*texel_height-half_texel_height);vec2 pos=floor(a_pos_normal*0.5);mediump vec2 normal=a_pos_normal-2.0*pos;normal.y=normal.y*2.0-1.0;v_normal=normal;gapwidth=gapwidth/2.0;float halfwidth=width/2.0;offset=-1.0*offset;float inset=gapwidth+(gapwidth > 0.0 ? ANTIALIASING : 0.0);float outset=gapwidth+halfwidth*(gapwidth > 0.0 ? 2.0 : 1.0)+(halfwidth==0.0 ? 0.0 : ANTIALIASING);mediump vec2 dist=outset*a_extrude*scale;mediump float u=0.5*a_direction;mediump float t=1.0-abs(u);mediump vec2 offset2=offset*a_extrude*scale*normal.y*mat2(t,-u,u,t);vec4 projected_extrude=u_matrix*vec4(dist/u_ratio,0.0,0.0);gl_Position=u_matrix*vec4(pos+offset2/u_ratio,0.0,1.0)+projected_extrude;float extrude_length_without_perspective=length(dist);float extrude_length_with_perspective=length(projected_extrude.xy/gl_Position.w*u_units_to_pixels);v_gamma_scale=extrude_length_without_perspective/extrude_length_with_perspective;v_width2=vec2(outset,inset);}"),vr=_r("uniform lowp float u_device_pixel_ratio;uniform vec2 u_texsize;uniform float u_fade;uniform mediump vec3 u_scale;uniform sampler2D u_image;varying vec2 v_normal;varying vec2 v_width2;varying float v_linesofar;varying float v_gamma_scale;varying float v_width;\n#pragma mapbox: define lowp vec4 pattern_from\n#pragma mapbox: define lowp vec4 pattern_to\n#pragma mapbox: define lowp float pixel_ratio_from\n#pragma mapbox: define lowp float pixel_ratio_to\n#pragma mapbox: define lowp float blur\n#pragma mapbox: define lowp float opacity\nvoid main() {\n#pragma mapbox: initialize mediump vec4 pattern_from\n#pragma mapbox: initialize mediump vec4 pattern_to\n#pragma mapbox: initialize lowp float pixel_ratio_from\n#pragma mapbox: initialize lowp float pixel_ratio_to\n#pragma mapbox: initialize lowp float blur\n#pragma mapbox: initialize lowp float opacity\nvec2 pattern_tl_a=pattern_from.xy;vec2 pattern_br_a=pattern_from.zw;vec2 pattern_tl_b=pattern_to.xy;vec2 pattern_br_b=pattern_to.zw;float tileZoomRatio=u_scale.x;float fromScale=u_scale.y;float toScale=u_scale.z;vec2 display_size_a=(pattern_br_a-pattern_tl_a)/pixel_ratio_from;vec2 display_size_b=(pattern_br_b-pattern_tl_b)/pixel_ratio_to;vec2 pattern_size_a=vec2(display_size_a.x*fromScale/tileZoomRatio,display_size_a.y);vec2 pattern_size_b=vec2(display_size_b.x*toScale/tileZoomRatio,display_size_b.y);float aspect_a=display_size_a.y/v_width;float aspect_b=display_size_b.y/v_width;float dist=length(v_normal)*v_width2.s;float blur2=(blur+1.0/u_device_pixel_ratio)*v_gamma_scale;float alpha=clamp(min(dist-(v_width2.t-blur2),v_width2.s-dist)/blur2,0.0,1.0);float x_a=mod(v_linesofar/pattern_size_a.x*aspect_a,1.0);float x_b=mod(v_linesofar/pattern_size_b.x*aspect_b,1.0);float y=0.5*v_normal.y+0.5;vec2 texel_size=1.0/u_texsize;vec2 pos_a=mix(pattern_tl_a*texel_size-texel_size,pattern_br_a*texel_size+texel_size,vec2(x_a,y));vec2 pos_b=mix(pattern_tl_b*texel_size-texel_size,pattern_br_b*texel_size+texel_size,vec2(x_b,y));vec4 color=mix(texture2D(u_image,pos_a),texture2D(u_image,pos_b),u_fade);gl_FragColor=color*alpha*opacity;\n#ifdef OVERDRAW_INSPECTOR\ngl_FragColor=vec4(1.0);\n#endif\n}","\n#define scale 0.015873016\n#define LINE_DISTANCE_SCALE 2.0\nattribute vec2 a_pos_normal;attribute vec4 a_data;uniform mat4 u_matrix;uniform vec2 u_units_to_pixels;uniform mediump float u_ratio;uniform lowp float u_device_pixel_ratio;varying vec2 v_normal;varying vec2 v_width2;varying float v_linesofar;varying float v_gamma_scale;varying float v_width;\n#pragma mapbox: define lowp float blur\n#pragma mapbox: define lowp float opacity\n#pragma mapbox: define lowp float offset\n#pragma mapbox: define mediump float gapwidth\n#pragma mapbox: define mediump float width\n#pragma mapbox: define lowp float floorwidth\n#pragma mapbox: define lowp vec4 pattern_from\n#pragma mapbox: define lowp vec4 pattern_to\n#pragma mapbox: define lowp float pixel_ratio_from\n#pragma mapbox: define lowp float pixel_ratio_to\nvoid main() {\n#pragma mapbox: initialize lowp float blur\n#pragma mapbox: initialize lowp float opacity\n#pragma mapbox: initialize lowp float offset\n#pragma mapbox: initialize mediump float gapwidth\n#pragma mapbox: initialize mediump float width\n#pragma mapbox: initialize lowp float floorwidth\n#pragma mapbox: initialize mediump vec4 pattern_from\n#pragma mapbox: initialize mediump vec4 pattern_to\n#pragma mapbox: initialize lowp float pixel_ratio_from\n#pragma mapbox: initialize lowp float pixel_ratio_to\nfloat ANTIALIASING=1.0/u_device_pixel_ratio/2.0;vec2 a_extrude=a_data.xy-128.0;float a_direction=mod(a_data.z,4.0)-1.0;float a_linesofar=(floor(a_data.z/4.0)+a_data.w*64.0)*LINE_DISTANCE_SCALE;vec2 pos=floor(a_pos_normal*0.5);mediump vec2 normal=a_pos_normal-2.0*pos;normal.y=normal.y*2.0-1.0;v_normal=normal;gapwidth=gapwidth/2.0;float halfwidth=width/2.0;offset=-1.0*offset;float inset=gapwidth+(gapwidth > 0.0 ? ANTIALIASING : 0.0);float outset=gapwidth+halfwidth*(gapwidth > 0.0 ? 2.0 : 1.0)+(halfwidth==0.0 ? 0.0 : ANTIALIASING);mediump vec2 dist=outset*a_extrude*scale;mediump float u=0.5*a_direction;mediump float t=1.0-abs(u);mediump vec2 offset2=offset*a_extrude*scale*normal.y*mat2(t,-u,u,t);vec4 projected_extrude=u_matrix*vec4(dist/u_ratio,0.0,0.0);gl_Position=u_matrix*vec4(pos+offset2/u_ratio,0.0,1.0)+projected_extrude;float extrude_length_without_perspective=length(dist);float extrude_length_with_perspective=length(projected_extrude.xy/gl_Position.w*u_units_to_pixels);v_gamma_scale=extrude_length_without_perspective/extrude_length_with_perspective;v_linesofar=a_linesofar;v_width2=vec2(outset,inset);v_width=floorwidth;}"),gr=_r("uniform lowp float u_device_pixel_ratio;uniform sampler2D u_image;uniform float u_sdfgamma;uniform float u_mix;varying vec2 v_normal;varying vec2 v_width2;varying vec2 v_tex_a;varying vec2 v_tex_b;varying float v_gamma_scale;\n#pragma mapbox: define highp vec4 color\n#pragma mapbox: define lowp float blur\n#pragma mapbox: define lowp float opacity\n#pragma mapbox: define mediump float width\n#pragma mapbox: define lowp float floorwidth\nvoid main() {\n#pragma mapbox: initialize highp vec4 color\n#pragma mapbox: initialize lowp float blur\n#pragma mapbox: initialize lowp float opacity\n#pragma mapbox: initialize mediump float width\n#pragma mapbox: initialize lowp float floorwidth\nfloat dist=length(v_normal)*v_width2.s;float blur2=(blur+1.0/u_device_pixel_ratio)*v_gamma_scale;float alpha=clamp(min(dist-(v_width2.t-blur2),v_width2.s-dist)/blur2,0.0,1.0);float sdfdist_a=texture2D(u_image,v_tex_a).a;float sdfdist_b=texture2D(u_image,v_tex_b).a;float sdfdist=mix(sdfdist_a,sdfdist_b,u_mix);alpha*=smoothstep(0.5-u_sdfgamma/floorwidth,0.5+u_sdfgamma/floorwidth,sdfdist);gl_FragColor=color*(alpha*opacity);\n#ifdef OVERDRAW_INSPECTOR\ngl_FragColor=vec4(1.0);\n#endif\n}","\n#define scale 0.015873016\n#define LINE_DISTANCE_SCALE 2.0\nattribute vec2 a_pos_normal;attribute vec4 a_data;uniform mat4 u_matrix;uniform mediump float u_ratio;uniform lowp float u_device_pixel_ratio;uniform vec2 u_patternscale_a;uniform float u_tex_y_a;uniform vec2 u_patternscale_b;uniform float u_tex_y_b;uniform vec2 u_units_to_pixels;varying vec2 v_normal;varying vec2 v_width2;varying vec2 v_tex_a;varying vec2 v_tex_b;varying float v_gamma_scale;\n#pragma mapbox: define highp vec4 color\n#pragma mapbox: define lowp float blur\n#pragma mapbox: define lowp float opacity\n#pragma mapbox: define mediump float gapwidth\n#pragma mapbox: define lowp float offset\n#pragma mapbox: define mediump float width\n#pragma mapbox: define lowp float floorwidth\nvoid main() {\n#pragma mapbox: initialize highp vec4 color\n#pragma mapbox: initialize lowp float blur\n#pragma mapbox: initialize lowp float opacity\n#pragma mapbox: initialize mediump float gapwidth\n#pragma mapbox: initialize lowp float offset\n#pragma mapbox: initialize mediump float width\n#pragma mapbox: initialize lowp float floorwidth\nfloat ANTIALIASING=1.0/u_device_pixel_ratio/2.0;vec2 a_extrude=a_data.xy-128.0;float a_direction=mod(a_data.z,4.0)-1.0;float a_linesofar=(floor(a_data.z/4.0)+a_data.w*64.0)*LINE_DISTANCE_SCALE;vec2 pos=floor(a_pos_normal*0.5);mediump vec2 normal=a_pos_normal-2.0*pos;normal.y=normal.y*2.0-1.0;v_normal=normal;gapwidth=gapwidth/2.0;float halfwidth=width/2.0;offset=-1.0*offset;float inset=gapwidth+(gapwidth > 0.0 ? ANTIALIASING : 0.0);float outset=gapwidth+halfwidth*(gapwidth > 0.0 ? 2.0 : 1.0)+(halfwidth==0.0 ? 0.0 : ANTIALIASING);mediump vec2 dist=outset*a_extrude*scale;mediump float u=0.5*a_direction;mediump float t=1.0-abs(u);mediump vec2 offset2=offset*a_extrude*scale*normal.y*mat2(t,-u,u,t);vec4 projected_extrude=u_matrix*vec4(dist/u_ratio,0.0,0.0);gl_Position=u_matrix*vec4(pos+offset2/u_ratio,0.0,1.0)+projected_extrude;float extrude_length_without_perspective=length(dist);float extrude_length_with_perspective=length(projected_extrude.xy/gl_Position.w*u_units_to_pixels);v_gamma_scale=extrude_length_without_perspective/extrude_length_with_perspective;v_tex_a=vec2(a_linesofar*u_patternscale_a.x/floorwidth,normal.y*u_patternscale_a.y+u_tex_y_a);v_tex_b=vec2(a_linesofar*u_patternscale_b.x/floorwidth,normal.y*u_patternscale_b.y+u_tex_y_b);v_width2=vec2(outset,inset);}"),yr=_r("uniform float u_fade_t;uniform float u_opacity;uniform sampler2D u_image0;uniform sampler2D u_image1;varying vec2 v_pos0;varying vec2 v_pos1;uniform float u_brightness_low;uniform float u_brightness_high;uniform float u_saturation_factor;uniform float u_contrast_factor;uniform vec3 u_spin_weights;void main() {vec4 color0=texture2D(u_image0,v_pos0);vec4 color1=texture2D(u_image1,v_pos1);if (color0.a > 0.0) {color0.rgb=color0.rgb/color0.a;}if (color1.a > 0.0) {color1.rgb=color1.rgb/color1.a;}vec4 color=mix(color0,color1,u_fade_t);color.a*=u_opacity;vec3 rgb=color.rgb;rgb=vec3(dot(rgb,u_spin_weights.xyz),dot(rgb,u_spin_weights.zxy),dot(rgb,u_spin_weights.yzx));float average=(color.r+color.g+color.b)/3.0;rgb+=(average-rgb)*u_saturation_factor;rgb=(rgb-0.5)*u_contrast_factor+0.5;vec3 u_high_vec=vec3(u_brightness_low,u_brightness_low,u_brightness_low);vec3 u_low_vec=vec3(u_brightness_high,u_brightness_high,u_brightness_high);gl_FragColor=vec4(mix(u_high_vec,u_low_vec,rgb)*color.a,color.a);\n#ifdef OVERDRAW_INSPECTOR\ngl_FragColor=vec4(1.0);\n#endif\n}","uniform mat4 u_matrix;uniform vec2 u_tl_parent;uniform float u_scale_parent;uniform float u_buffer_scale;attribute vec2 a_pos;attribute vec2 a_texture_pos;varying vec2 v_pos0;varying vec2 v_pos1;void main() {gl_Position=u_matrix*vec4(a_pos,0,1);v_pos0=(((a_texture_pos/8192.0)-0.5)/u_buffer_scale )+0.5;v_pos1=(v_pos0*u_scale_parent)+u_tl_parent;}"),mr=_r("uniform sampler2D u_texture;varying vec2 v_tex;varying float v_fade_opacity;\n#pragma mapbox: define lowp float opacity\nvoid main() {\n#pragma mapbox: initialize lowp float opacity\nlowp float alpha=opacity*v_fade_opacity;gl_FragColor=texture2D(u_texture,v_tex)*alpha;\n#ifdef OVERDRAW_INSPECTOR\ngl_FragColor=vec4(1.0);\n#endif\n}","const float PI=3.141592653589793;attribute vec4 a_pos_offset;attribute vec4 a_data;attribute vec4 a_pixeloffset;attribute vec3 a_projected_pos;attribute float a_fade_opacity;uniform bool u_is_size_zoom_constant;uniform bool u_is_size_feature_constant;uniform highp float u_size_t;uniform highp float u_size;uniform highp float u_camera_to_center_distance;uniform highp float u_pitch;uniform bool u_rotate_symbol;uniform highp float u_aspect_ratio;uniform float u_fade_change;uniform mat4 u_matrix;uniform mat4 u_label_plane_matrix;uniform mat4 u_coord_matrix;uniform bool u_is_text;uniform bool u_pitch_with_map;uniform vec2 u_texsize;varying vec2 v_tex;varying float v_fade_opacity;\n#pragma mapbox: define lowp float opacity\nvoid main() {\n#pragma mapbox: initialize lowp float opacity\nvec2 a_pos=a_pos_offset.xy;vec2 a_offset=a_pos_offset.zw;vec2 a_tex=a_data.xy;vec2 a_size=a_data.zw;float a_size_min=floor(a_size[0]*0.5);vec2 a_pxoffset=a_pixeloffset.xy;vec2 a_minFontScale=a_pixeloffset.zw/256.0;highp float segment_angle=-a_projected_pos[2];float size;if (!u_is_size_zoom_constant && !u_is_size_feature_constant) {size=mix(a_size_min,a_size[1],u_size_t)/128.0;} else if (u_is_size_zoom_constant && !u_is_size_feature_constant) {size=a_size_min/128.0;} else {size=u_size;}vec4 projectedPoint=u_matrix*vec4(a_pos,0,1);highp float camera_to_anchor_distance=projectedPoint.w;highp float distance_ratio=u_pitch_with_map ?\ncamera_to_anchor_distance/u_camera_to_center_distance :\nu_camera_to_center_distance/camera_to_anchor_distance;highp float perspective_ratio=clamp(0.5+0.5*distance_ratio,0.0,4.0);size*=perspective_ratio;float fontScale=u_is_text ? size/24.0 : size;highp float symbol_rotation=0.0;if (u_rotate_symbol) {vec4 offsetProjectedPoint=u_matrix*vec4(a_pos+vec2(1,0),0,1);vec2 a=projectedPoint.xy/projectedPoint.w;vec2 b=offsetProjectedPoint.xy/offsetProjectedPoint.w;symbol_rotation=atan((b.y-a.y)/u_aspect_ratio,b.x-a.x);}highp float angle_sin=sin(segment_angle+symbol_rotation);highp float angle_cos=cos(segment_angle+symbol_rotation);mat2 rotation_matrix=mat2(angle_cos,-1.0*angle_sin,angle_sin,angle_cos);vec4 projected_pos=u_label_plane_matrix*vec4(a_projected_pos.xy,0.0,1.0);gl_Position=u_coord_matrix*vec4(projected_pos.xy/projected_pos.w+rotation_matrix*(a_offset/32.0*max(a_minFontScale,fontScale)+a_pxoffset/16.0),0.0,1.0);v_tex=a_tex/u_texsize;vec2 fade_opacity=unpack_opacity(a_fade_opacity);float fade_change=fade_opacity[1] > 0.5 ? u_fade_change :-u_fade_change;v_fade_opacity=max(0.0,min(1.0,fade_opacity[0]+fade_change));}"),xr=_r("#define SDF_PX 8.0\nuniform bool u_is_halo;uniform sampler2D u_texture;uniform highp float u_gamma_scale;uniform lowp float u_device_pixel_ratio;uniform bool u_is_text;varying vec2 v_data0;varying vec3 v_data1;\n#pragma mapbox: define highp vec4 fill_color\n#pragma mapbox: define highp vec4 halo_color\n#pragma mapbox: define lowp float opacity\n#pragma mapbox: define lowp float halo_width\n#pragma mapbox: define lowp float halo_blur\nvoid main() {\n#pragma mapbox: initialize highp vec4 fill_color\n#pragma mapbox: initialize highp vec4 halo_color\n#pragma mapbox: initialize lowp float opacity\n#pragma mapbox: initialize lowp float halo_width\n#pragma mapbox: initialize lowp float halo_blur\nfloat EDGE_GAMMA=0.105/u_device_pixel_ratio;vec2 tex=v_data0.xy;float gamma_scale=v_data1.x;float size=v_data1.y;float fade_opacity=v_data1[2];float fontScale=u_is_text ? size/24.0 : size;lowp vec4 color=fill_color;highp float gamma=EDGE_GAMMA/(fontScale*u_gamma_scale);lowp float buff=(256.0-64.0)/256.0;if (u_is_halo) {color=halo_color;gamma=(halo_blur*1.19/SDF_PX+EDGE_GAMMA)/(fontScale*u_gamma_scale);buff=(6.0-halo_width/fontScale)/SDF_PX;}lowp float dist=texture2D(u_texture,tex).a;highp float gamma_scaled=gamma*gamma_scale;highp float alpha=smoothstep(buff-gamma_scaled,buff+gamma_scaled,dist);gl_FragColor=color*(alpha*opacity*fade_opacity);\n#ifdef OVERDRAW_INSPECTOR\ngl_FragColor=vec4(1.0);\n#endif\n}","const float PI=3.141592653589793;attribute vec4 a_pos_offset;attribute vec4 a_data;attribute vec4 a_pixeloffset;attribute vec3 a_projected_pos;attribute float a_fade_opacity;uniform bool u_is_size_zoom_constant;uniform bool u_is_size_feature_constant;uniform highp float u_size_t;uniform highp float u_size;uniform mat4 u_matrix;uniform mat4 u_label_plane_matrix;uniform mat4 u_coord_matrix;uniform bool u_is_text;uniform bool u_pitch_with_map;uniform highp float u_pitch;uniform bool u_rotate_symbol;uniform highp float u_aspect_ratio;uniform highp float u_camera_to_center_distance;uniform float u_fade_change;uniform vec2 u_texsize;varying vec2 v_data0;varying vec3 v_data1;\n#pragma mapbox: define highp vec4 fill_color\n#pragma mapbox: define highp vec4 halo_color\n#pragma mapbox: define lowp float opacity\n#pragma mapbox: define lowp float halo_width\n#pragma mapbox: define lowp float halo_blur\nvoid main() {\n#pragma mapbox: initialize highp vec4 fill_color\n#pragma mapbox: initialize highp vec4 halo_color\n#pragma mapbox: initialize lowp float opacity\n#pragma mapbox: initialize lowp float halo_width\n#pragma mapbox: initialize lowp float halo_blur\nvec2 a_pos=a_pos_offset.xy;vec2 a_offset=a_pos_offset.zw;vec2 a_tex=a_data.xy;vec2 a_size=a_data.zw;float a_size_min=floor(a_size[0]*0.5);vec2 a_pxoffset=a_pixeloffset.xy;highp float segment_angle=-a_projected_pos[2];float size;if (!u_is_size_zoom_constant && !u_is_size_feature_constant) {size=mix(a_size_min,a_size[1],u_size_t)/128.0;} else if (u_is_size_zoom_constant && !u_is_size_feature_constant) {size=a_size_min/128.0;} else {size=u_size;}vec4 projectedPoint=u_matrix*vec4(a_pos,0,1);highp float camera_to_anchor_distance=projectedPoint.w;highp float distance_ratio=u_pitch_with_map ?\ncamera_to_anchor_distance/u_camera_to_center_distance :\nu_camera_to_center_distance/camera_to_anchor_distance;highp float perspective_ratio=clamp(0.5+0.5*distance_ratio,0.0,4.0);size*=perspective_ratio;float fontScale=u_is_text ? size/24.0 : size;highp float symbol_rotation=0.0;if (u_rotate_symbol) {vec4 offsetProjectedPoint=u_matrix*vec4(a_pos+vec2(1,0),0,1);vec2 a=projectedPoint.xy/projectedPoint.w;vec2 b=offsetProjectedPoint.xy/offsetProjectedPoint.w;symbol_rotation=atan((b.y-a.y)/u_aspect_ratio,b.x-a.x);}highp float angle_sin=sin(segment_angle+symbol_rotation);highp float angle_cos=cos(segment_angle+symbol_rotation);mat2 rotation_matrix=mat2(angle_cos,-1.0*angle_sin,angle_sin,angle_cos);vec4 projected_pos=u_label_plane_matrix*vec4(a_projected_pos.xy,0.0,1.0);gl_Position=u_coord_matrix*vec4(projected_pos.xy/projected_pos.w+rotation_matrix*(a_offset/32.0*fontScale+a_pxoffset),0.0,1.0);float gamma_scale=gl_Position.w;vec2 fade_opacity=unpack_opacity(a_fade_opacity);float fade_change=fade_opacity[1] > 0.5 ? u_fade_change :-u_fade_change;float interpolated_fade_opacity=max(0.0,min(1.0,fade_opacity[0]+fade_change));v_data0=a_tex/u_texsize;v_data1=vec3(gamma_scale,size,interpolated_fade_opacity);}"),br=_r("#define SDF_PX 8.0\n#define SDF 1.0\n#define ICON 0.0\nuniform bool u_is_halo;uniform sampler2D u_texture;uniform sampler2D u_texture_icon;uniform highp float u_gamma_scale;uniform lowp float u_device_pixel_ratio;varying vec4 v_data0;varying vec4 v_data1;\n#pragma mapbox: define highp vec4 fill_color\n#pragma mapbox: define highp vec4 halo_color\n#pragma mapbox: define lowp float opacity\n#pragma mapbox: define lowp float halo_width\n#pragma mapbox: define lowp float halo_blur\nvoid main() {\n#pragma mapbox: initialize highp vec4 fill_color\n#pragma mapbox: initialize highp vec4 halo_color\n#pragma mapbox: initialize lowp float opacity\n#pragma mapbox: initialize lowp float halo_width\n#pragma mapbox: initialize lowp float halo_blur\nfloat fade_opacity=v_data1[2];if (v_data1.w==ICON) {vec2 tex_icon=v_data0.zw;lowp float alpha=opacity*fade_opacity;gl_FragColor=texture2D(u_texture_icon,tex_icon)*alpha;\n#ifdef OVERDRAW_INSPECTOR\ngl_FragColor=vec4(1.0);\n#endif\nreturn;}vec2 tex=v_data0.xy;float EDGE_GAMMA=0.105/u_device_pixel_ratio;float gamma_scale=v_data1.x;float size=v_data1.y;float fontScale=size/24.0;lowp vec4 color=fill_color;highp float gamma=EDGE_GAMMA/(fontScale*u_gamma_scale);lowp float buff=(256.0-64.0)/256.0;if (u_is_halo) {color=halo_color;gamma=(halo_blur*1.19/SDF_PX+EDGE_GAMMA)/(fontScale*u_gamma_scale);buff=(6.0-halo_width/fontScale)/SDF_PX;}lowp float dist=texture2D(u_texture,tex).a;highp float gamma_scaled=gamma*gamma_scale;highp float alpha=smoothstep(buff-gamma_scaled,buff+gamma_scaled,dist);gl_FragColor=color*(alpha*opacity*fade_opacity);\n#ifdef OVERDRAW_INSPECTOR\ngl_FragColor=vec4(1.0);\n#endif\n}","const float PI=3.141592653589793;attribute vec4 a_pos_offset;attribute vec4 a_data;attribute vec3 a_projected_pos;attribute float a_fade_opacity;uniform bool u_is_size_zoom_constant;uniform bool u_is_size_feature_constant;uniform highp float u_size_t;uniform highp float u_size;uniform mat4 u_matrix;uniform mat4 u_label_plane_matrix;uniform mat4 u_coord_matrix;uniform bool u_is_text;uniform bool u_pitch_with_map;uniform highp float u_pitch;uniform bool u_rotate_symbol;uniform highp float u_aspect_ratio;uniform highp float u_camera_to_center_distance;uniform float u_fade_change;uniform vec2 u_texsize;uniform vec2 u_texsize_icon;varying vec4 v_data0;varying vec4 v_data1;\n#pragma mapbox: define highp vec4 fill_color\n#pragma mapbox: define highp vec4 halo_color\n#pragma mapbox: define lowp float opacity\n#pragma mapbox: define lowp float halo_width\n#pragma mapbox: define lowp float halo_blur\nvoid main() {\n#pragma mapbox: initialize highp vec4 fill_color\n#pragma mapbox: initialize highp vec4 halo_color\n#pragma mapbox: initialize lowp float opacity\n#pragma mapbox: initialize lowp float halo_width\n#pragma mapbox: initialize lowp float halo_blur\nvec2 a_pos=a_pos_offset.xy;vec2 a_offset=a_pos_offset.zw;vec2 a_tex=a_data.xy;vec2 a_size=a_data.zw;float a_size_min=floor(a_size[0]*0.5);float is_sdf=a_size[0]-2.0*a_size_min;highp float segment_angle=-a_projected_pos[2];float size;if (!u_is_size_zoom_constant && !u_is_size_feature_constant) {size=mix(a_size_min,a_size[1],u_size_t)/128.0;} else if (u_is_size_zoom_constant && !u_is_size_feature_constant) {size=a_size_min/128.0;} else {size=u_size;}vec4 projectedPoint=u_matrix*vec4(a_pos,0,1);highp float camera_to_anchor_distance=projectedPoint.w;highp float distance_ratio=u_pitch_with_map ?\ncamera_to_anchor_distance/u_camera_to_center_distance :\nu_camera_to_center_distance/camera_to_anchor_distance;highp float perspective_ratio=clamp(0.5+0.5*distance_ratio,0.0,4.0);size*=perspective_ratio;float fontScale=size/24.0;highp float symbol_rotation=0.0;if (u_rotate_symbol) {vec4 offsetProjectedPoint=u_matrix*vec4(a_pos+vec2(1,0),0,1);vec2 a=projectedPoint.xy/projectedPoint.w;vec2 b=offsetProjectedPoint.xy/offsetProjectedPoint.w;symbol_rotation=atan((b.y-a.y)/u_aspect_ratio,b.x-a.x);}highp float angle_sin=sin(segment_angle+symbol_rotation);highp float angle_cos=cos(segment_angle+symbol_rotation);mat2 rotation_matrix=mat2(angle_cos,-1.0*angle_sin,angle_sin,angle_cos);vec4 projected_pos=u_label_plane_matrix*vec4(a_projected_pos.xy,0.0,1.0);gl_Position=u_coord_matrix*vec4(projected_pos.xy/projected_pos.w+rotation_matrix*(a_offset/32.0*fontScale),0.0,1.0);float gamma_scale=gl_Position.w;vec2 fade_opacity=unpack_opacity(a_fade_opacity);float fade_change=fade_opacity[1] > 0.5 ? u_fade_change :-u_fade_change;float interpolated_fade_opacity=max(0.0,min(1.0,fade_opacity[0]+fade_change));v_data0.xy=a_tex/u_texsize;v_data0.zw=a_tex/u_texsize_icon;v_data1=vec4(gamma_scale,size,interpolated_fade_opacity,is_sdf);}");function _r(t,e){var r=/#pragma mapbox: ([\w]+) ([\w]+) ([\w]+) ([\w]+)/g,n=e.match(/attribute ([\w]+) ([\w]+)/g),i=t.match(/uniform ([\w]+) ([\w]+)([\s]*)([\w]*)/g),a=e.match(/uniform ([\w]+) ([\w]+)([\s]*)([\w]*)/g),o=a?a.concat(i):i,s={};return{fragmentSource:t=t.replace(r,(function(t,e,r,n,i){return s[i]=!0,"define"===e?"\n#ifndef HAS_UNIFORM_u_"+i+"\nvarying "+r+" "+n+" "+i+";\n#else\nuniform "+r+" "+n+" u_"+i+";\n#endif\n":"\n#ifdef HAS_UNIFORM_u_"+i+"\n "+r+" "+n+" "+i+" = u_"+i+";\n#endif\n"})),vertexSource:e=e.replace(r,(function(t,e,r,n,i){var a="float"===n?"vec2":"vec4",o=i.match(/color/)?"color":a;return s[i]?"define"===e?"\n#ifndef HAS_UNIFORM_u_"+i+"\nuniform lowp float u_"+i+"_t;\nattribute "+r+" "+a+" a_"+i+";\nvarying "+r+" "+n+" "+i+";\n#else\nuniform "+r+" "+n+" u_"+i+";\n#endif\n":"vec4"===o?"\n#ifndef HAS_UNIFORM_u_"+i+"\n "+i+" = a_"+i+";\n#else\n "+r+" "+n+" "+i+" = u_"+i+";\n#endif\n":"\n#ifndef HAS_UNIFORM_u_"+i+"\n "+i+" = unpack_mix_"+o+"(a_"+i+", u_"+i+"_t);\n#else\n "+r+" "+n+" "+i+" = u_"+i+";\n#endif\n":"define"===e?"\n#ifndef HAS_UNIFORM_u_"+i+"\nuniform lowp float u_"+i+"_t;\nattribute "+r+" "+a+" a_"+i+";\n#else\nuniform "+r+" "+n+" u_"+i+";\n#endif\n":"vec4"===o?"\n#ifndef HAS_UNIFORM_u_"+i+"\n "+r+" "+n+" "+i+" = a_"+i+";\n#else\n "+r+" "+n+" "+i+" = u_"+i+";\n#endif\n":"\n#ifndef HAS_UNIFORM_u_"+i+"\n "+r+" "+n+" "+i+" = unpack_mix_"+o+"(a_"+i+", u_"+i+"_t);\n#else\n "+r+" "+n+" "+i+" = u_"+i+";\n#endif\n"})),staticAttributes:n,staticUniforms:o}}var wr=Object.freeze({__proto__:null,prelude:Ze,background:Ke,backgroundPattern:Je,circle:$e,clippingMask:Qe,heatmap:tr,heatmapTexture:er,collisionBox:rr,collisionCircle:nr,debug:ir,fill:ar,fillOutline:or,fillOutlinePattern:sr,fillPattern:lr,fillExtrusion:ur,fillExtrusionPattern:cr,hillshadePrepare:fr,hillshade:hr,line:pr,lineGradient:dr,linePattern:vr,lineSDF:gr,raster:yr,symbolIcon:mr,symbolSDF:xr,symbolTextAndIcon:br}),Tr=function(){this.boundProgram=null,this.boundLayoutVertexBuffer=null,this.boundPaintVertexBuffers=[],this.boundIndexBuffer=null,this.boundVertexOffset=null,this.boundDynamicVertexBuffer=null,this.vao=null};function kr(t){for(var e=[],r=0;r>16,s>>16],u_pixel_coord_lower:[65535&o,65535&s]}}Ar.prototype.draw=function(t,e,r,n,i,a,o,s,l,u,c,f,h,p,d,v){var g,y=t.gl;if(!this.failedToCreate){for(var m in t.program.set(this.program),t.setDepthMode(r),t.setStencilMode(n),t.setColorMode(i),t.setCullFace(a),this.fixedUniforms)this.fixedUniforms[m].set(o[m]);p&&p.setUniforms(t,this.binderUniforms,f,{zoom:h});for(var x=(g={},g[y.LINES]=2,g[y.TRIANGLES]=3,g[y.LINE_STRIP]=1,g)[e],b=0,_=c.get();b<_.length;b+=1){var w=_[b],T=w.vaos||(w.vaos={});(T[s]||(T[s]=new Tr)).bind(t,this,l,p?p.getPaintVertexBuffers():[],u,w.vertexOffset,d,v),y.drawElements(e,w.primitiveLength*x,y.UNSIGNED_SHORT,w.primitiveOffset*x*2)}}};var Sr=function(e,r,n,i){var a=r.style.light,o=a.properties.get("position"),s=[o.x,o.y,o.z],l=t.create$1();"viewport"===a.properties.get("anchor")&&t.fromRotation(l,-r.transform.angle),t.transformMat3(s,s,l);var u=a.properties.get("color");return{u_matrix:e,u_lightpos:s,u_lightintensity:a.properties.get("intensity"),u_lightcolor:[u.r,u.g,u.b],u_vertical_gradient:+n,u_opacity:i}},Er=function(e,r,n,i,a,o,s){return t.extend(Sr(e,r,n,i),Mr(o,r,s),{u_height_factor:-Math.pow(2,a.overscaledZ)/s.tileSize/8})},Lr=function(t){return{u_matrix:t}},Cr=function(e,r,n,i){return t.extend(Lr(e),Mr(n,r,i))},Pr=function(t,e){return{u_matrix:t,u_world:e}},Or=function(e,r,n,i,a){return t.extend(Cr(e,r,n,i),{u_world:a})},Ir=function(e,r,n,i){var a,o,s=e.transform;if("map"===i.paint.get("circle-pitch-alignment")){var l=ge(n,1,s.zoom);a=!0,o=[l,l]}else a=!1,o=s.pixelsToGLUnits;return{u_camera_to_center_distance:s.cameraToCenterDistance,u_scale_with_map:+("map"===i.paint.get("circle-pitch-scale")),u_matrix:e.translatePosMatrix(r.posMatrix,n,i.paint.get("circle-translate"),i.paint.get("circle-translate-anchor")),u_pitch_with_map:+a,u_device_pixel_ratio:t.browser.devicePixelRatio,u_extrude_scale:o}},Dr=function(t,e,r){var n=ge(r,1,e.zoom),i=Math.pow(2,e.zoom-r.tileID.overscaledZ),a=r.tileID.overscaleFactor();return{u_matrix:t,u_camera_to_center_distance:e.cameraToCenterDistance,u_pixels_to_tile_units:n,u_extrude_scale:[e.pixelsToGLUnits[0]/(n*i),e.pixelsToGLUnits[1]/(n*i)],u_overscale_factor:a}},zr=function(t,e,r){return{u_matrix:t,u_inv_matrix:e,u_camera_to_center_distance:r.cameraToCenterDistance,u_viewport_size:[r.width,r.height]}},Rr=function(t,e,r){return void 0===r&&(r=1),{u_matrix:t,u_color:e,u_overlay:0,u_overlay_scale:r}},Fr=function(t){return{u_matrix:t}},Br=function(t,e,r,n){return{u_matrix:t,u_extrude_scale:ge(e,1,r),u_intensity:n}},Nr=function(e,r,n,i){var a=t.create();t.ortho(a,0,e.width,e.height,0,0,1);var o=e.context.gl;return{u_matrix:a,u_world:[o.drawingBufferWidth,o.drawingBufferHeight],u_image:n,u_color_ramp:i,u_opacity:r.paint.get("heatmap-opacity")}},jr=function(e,r,n){var i=n.paint.get("hillshade-shadow-color"),a=n.paint.get("hillshade-highlight-color"),o=n.paint.get("hillshade-accent-color"),s=n.paint.get("hillshade-illumination-direction")*(Math.PI/180);"viewport"===n.paint.get("hillshade-illumination-anchor")&&(s-=e.transform.angle);var l,u,c,f=!e.options.moving;return{u_matrix:e.transform.calculatePosMatrix(r.tileID.toUnwrapped(),f),u_image:0,u_latrange:(l=r.tileID,u=Math.pow(2,l.canonical.z),c=l.canonical.y,[new t.MercatorCoordinate(0,c/u).toLngLat().lat,new t.MercatorCoordinate(0,(c+1)/u).toLngLat().lat]),u_light:[n.paint.get("hillshade-exaggeration"),s],u_shadow:i,u_highlight:a,u_accent:o}},Ur=function(e,r){var n=r.stride,i=t.create();return t.ortho(i,0,t.EXTENT,-t.EXTENT,0,0,1),t.translate(i,i,[0,-t.EXTENT,0]),{u_matrix:i,u_image:1,u_dimension:[n,n],u_zoom:e.overscaledZ,u_unpack:r.getUnpackVector()}};var Vr=function(e,r,n){var i=e.transform;return{u_matrix:Yr(e,r,n),u_ratio:1/ge(r,1,i.zoom),u_device_pixel_ratio:t.browser.devicePixelRatio,u_units_to_pixels:[1/i.pixelsToGLUnits[0],1/i.pixelsToGLUnits[1]]}},qr=function(e,r,n,i){return t.extend(Vr(e,r,n),{u_image:0,u_image_height:i})},Hr=function(e,r,n,i){var a=e.transform,o=Wr(r,a);return{u_matrix:Yr(e,r,n),u_texsize:r.imageAtlasTexture.size,u_ratio:1/ge(r,1,a.zoom),u_device_pixel_ratio:t.browser.devicePixelRatio,u_image:0,u_scale:[o,i.fromScale,i.toScale],u_fade:i.t,u_units_to_pixels:[1/a.pixelsToGLUnits[0],1/a.pixelsToGLUnits[1]]}},Gr=function(e,r,n,i,a){var o=e.transform,s=e.lineAtlas,l=Wr(r,o),u="round"===n.layout.get("line-cap"),c=s.getDash(i.from,u),f=s.getDash(i.to,u),h=c.width*a.fromScale,p=f.width*a.toScale;return t.extend(Vr(e,r,n),{u_patternscale_a:[l/h,-c.height/2],u_patternscale_b:[l/p,-f.height/2],u_sdfgamma:s.width/(256*Math.min(h,p)*t.browser.devicePixelRatio)/2,u_image:0,u_tex_y_a:c.y,u_tex_y_b:f.y,u_mix:a.t})};function Wr(t,e){return 1/ge(t,1,e.tileZoom)}function Yr(t,e,r){return t.translatePosMatrix(e.tileID.posMatrix,e,r.paint.get("line-translate"),r.paint.get("line-translate-anchor"))}var Xr=function(t,e,r,n,i){return{u_matrix:t,u_tl_parent:e,u_scale_parent:r,u_buffer_scale:1,u_fade_t:n.mix,u_opacity:n.opacity*i.paint.get("raster-opacity"),u_image0:0,u_image1:1,u_brightness_low:i.paint.get("raster-brightness-min"),u_brightness_high:i.paint.get("raster-brightness-max"),u_saturation_factor:(o=i.paint.get("raster-saturation"),o>0?1-1/(1.001-o):-o),u_contrast_factor:(a=i.paint.get("raster-contrast"),a>0?1/(1-a):1+a),u_spin_weights:Zr(i.paint.get("raster-hue-rotate"))};var a,o};function Zr(t){t*=Math.PI/180;var e=Math.sin(t),r=Math.cos(t);return[(2*r+1)/3,(-Math.sqrt(3)*e-r+1)/3,(Math.sqrt(3)*e-r+1)/3]}var Kr,Jr=function(t,e,r,n,i,a,o,s,l,u){var c=i.transform;return{u_is_size_zoom_constant:+("constant"===t||"source"===t),u_is_size_feature_constant:+("constant"===t||"camera"===t),u_size_t:e?e.uSizeT:0,u_size:e?e.uSize:0,u_camera_to_center_distance:c.cameraToCenterDistance,u_pitch:c.pitch/360*2*Math.PI,u_rotate_symbol:+r,u_aspect_ratio:c.width/c.height,u_fade_change:i.options.fadeDuration?i.symbolFadeChange:1,u_matrix:a,u_label_plane_matrix:o,u_coord_matrix:s,u_is_text:+l,u_pitch_with_map:+n,u_texsize:u,u_texture:0}},$r=function(e,r,n,i,a,o,s,l,u,c,f){var h=a.transform;return t.extend(Jr(e,r,n,i,a,o,s,l,u,c),{u_gamma_scale:i?Math.cos(h._pitch)*h.cameraToCenterDistance:1,u_device_pixel_ratio:t.browser.devicePixelRatio,u_is_halo:+f})},Qr=function(e,r,n,i,a,o,s,l,u,c){return t.extend($r(e,r,n,i,a,o,s,l,!0,u,!0),{u_texsize_icon:c,u_texture_icon:1})},tn=function(t,e,r){return{u_matrix:t,u_opacity:e,u_color:r}},en=function(e,r,n,i,a,o){return t.extend(function(t,e,r,n){var i=r.imageManager.getPattern(t.from.toString()),a=r.imageManager.getPattern(t.to.toString()),o=r.imageManager.getPixelSize(),s=o.width,l=o.height,u=Math.pow(2,n.tileID.overscaledZ),c=n.tileSize*Math.pow(2,r.transform.tileZoom)/u,f=c*(n.tileID.canonical.x+n.tileID.wrap*u),h=c*n.tileID.canonical.y;return{u_image:0,u_pattern_tl_a:i.tl,u_pattern_br_a:i.br,u_pattern_tl_b:a.tl,u_pattern_br_b:a.br,u_texsize:[s,l],u_mix:e.t,u_pattern_size_a:i.displaySize,u_pattern_size_b:a.displaySize,u_scale_a:e.fromScale,u_scale_b:e.toScale,u_tile_units_to_pixels:1/ge(n,1,r.transform.tileZoom),u_pixel_coord_upper:[f>>16,h>>16],u_pixel_coord_lower:[65535&f,65535&h]}}(i,o,n,a),{u_matrix:e,u_opacity:r})},rn={fillExtrusion:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_lightpos:new t.Uniform3f(e,r.u_lightpos),u_lightintensity:new t.Uniform1f(e,r.u_lightintensity),u_lightcolor:new t.Uniform3f(e,r.u_lightcolor),u_vertical_gradient:new t.Uniform1f(e,r.u_vertical_gradient),u_opacity:new t.Uniform1f(e,r.u_opacity)}},fillExtrusionPattern:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_lightpos:new t.Uniform3f(e,r.u_lightpos),u_lightintensity:new t.Uniform1f(e,r.u_lightintensity),u_lightcolor:new t.Uniform3f(e,r.u_lightcolor),u_vertical_gradient:new t.Uniform1f(e,r.u_vertical_gradient),u_height_factor:new t.Uniform1f(e,r.u_height_factor),u_image:new t.Uniform1i(e,r.u_image),u_texsize:new t.Uniform2f(e,r.u_texsize),u_pixel_coord_upper:new t.Uniform2f(e,r.u_pixel_coord_upper),u_pixel_coord_lower:new t.Uniform2f(e,r.u_pixel_coord_lower),u_scale:new t.Uniform3f(e,r.u_scale),u_fade:new t.Uniform1f(e,r.u_fade),u_opacity:new t.Uniform1f(e,r.u_opacity)}},fill:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix)}},fillPattern:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_image:new t.Uniform1i(e,r.u_image),u_texsize:new t.Uniform2f(e,r.u_texsize),u_pixel_coord_upper:new t.Uniform2f(e,r.u_pixel_coord_upper),u_pixel_coord_lower:new t.Uniform2f(e,r.u_pixel_coord_lower),u_scale:new t.Uniform3f(e,r.u_scale),u_fade:new t.Uniform1f(e,r.u_fade)}},fillOutline:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_world:new t.Uniform2f(e,r.u_world)}},fillOutlinePattern:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_world:new t.Uniform2f(e,r.u_world),u_image:new t.Uniform1i(e,r.u_image),u_texsize:new t.Uniform2f(e,r.u_texsize),u_pixel_coord_upper:new t.Uniform2f(e,r.u_pixel_coord_upper),u_pixel_coord_lower:new t.Uniform2f(e,r.u_pixel_coord_lower),u_scale:new t.Uniform3f(e,r.u_scale),u_fade:new t.Uniform1f(e,r.u_fade)}},circle:function(e,r){return{u_camera_to_center_distance:new t.Uniform1f(e,r.u_camera_to_center_distance),u_scale_with_map:new t.Uniform1i(e,r.u_scale_with_map),u_pitch_with_map:new t.Uniform1i(e,r.u_pitch_with_map),u_extrude_scale:new t.Uniform2f(e,r.u_extrude_scale),u_device_pixel_ratio:new t.Uniform1f(e,r.u_device_pixel_ratio),u_matrix:new t.UniformMatrix4f(e,r.u_matrix)}},collisionBox:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_camera_to_center_distance:new t.Uniform1f(e,r.u_camera_to_center_distance),u_pixels_to_tile_units:new t.Uniform1f(e,r.u_pixels_to_tile_units),u_extrude_scale:new t.Uniform2f(e,r.u_extrude_scale),u_overscale_factor:new t.Uniform1f(e,r.u_overscale_factor)}},collisionCircle:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_inv_matrix:new t.UniformMatrix4f(e,r.u_inv_matrix),u_camera_to_center_distance:new t.Uniform1f(e,r.u_camera_to_center_distance),u_viewport_size:new t.Uniform2f(e,r.u_viewport_size)}},debug:function(e,r){return{u_color:new t.UniformColor(e,r.u_color),u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_overlay:new t.Uniform1i(e,r.u_overlay),u_overlay_scale:new t.Uniform1f(e,r.u_overlay_scale)}},clippingMask:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix)}},heatmap:function(e,r){return{u_extrude_scale:new t.Uniform1f(e,r.u_extrude_scale),u_intensity:new t.Uniform1f(e,r.u_intensity),u_matrix:new t.UniformMatrix4f(e,r.u_matrix)}},heatmapTexture:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_world:new t.Uniform2f(e,r.u_world),u_image:new t.Uniform1i(e,r.u_image),u_color_ramp:new t.Uniform1i(e,r.u_color_ramp),u_opacity:new t.Uniform1f(e,r.u_opacity)}},hillshade:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_image:new t.Uniform1i(e,r.u_image),u_latrange:new t.Uniform2f(e,r.u_latrange),u_light:new t.Uniform2f(e,r.u_light),u_shadow:new t.UniformColor(e,r.u_shadow),u_highlight:new t.UniformColor(e,r.u_highlight),u_accent:new t.UniformColor(e,r.u_accent)}},hillshadePrepare:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_image:new t.Uniform1i(e,r.u_image),u_dimension:new t.Uniform2f(e,r.u_dimension),u_zoom:new t.Uniform1f(e,r.u_zoom),u_unpack:new t.Uniform4f(e,r.u_unpack)}},line:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_ratio:new t.Uniform1f(e,r.u_ratio),u_device_pixel_ratio:new t.Uniform1f(e,r.u_device_pixel_ratio),u_units_to_pixels:new t.Uniform2f(e,r.u_units_to_pixels)}},lineGradient:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_ratio:new t.Uniform1f(e,r.u_ratio),u_device_pixel_ratio:new t.Uniform1f(e,r.u_device_pixel_ratio),u_units_to_pixels:new t.Uniform2f(e,r.u_units_to_pixels),u_image:new t.Uniform1i(e,r.u_image),u_image_height:new t.Uniform1f(e,r.u_image_height)}},linePattern:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_texsize:new t.Uniform2f(e,r.u_texsize),u_ratio:new t.Uniform1f(e,r.u_ratio),u_device_pixel_ratio:new t.Uniform1f(e,r.u_device_pixel_ratio),u_image:new t.Uniform1i(e,r.u_image),u_units_to_pixels:new t.Uniform2f(e,r.u_units_to_pixels),u_scale:new t.Uniform3f(e,r.u_scale),u_fade:new t.Uniform1f(e,r.u_fade)}},lineSDF:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_ratio:new t.Uniform1f(e,r.u_ratio),u_device_pixel_ratio:new t.Uniform1f(e,r.u_device_pixel_ratio),u_units_to_pixels:new t.Uniform2f(e,r.u_units_to_pixels),u_patternscale_a:new t.Uniform2f(e,r.u_patternscale_a),u_patternscale_b:new t.Uniform2f(e,r.u_patternscale_b),u_sdfgamma:new t.Uniform1f(e,r.u_sdfgamma),u_image:new t.Uniform1i(e,r.u_image),u_tex_y_a:new t.Uniform1f(e,r.u_tex_y_a),u_tex_y_b:new t.Uniform1f(e,r.u_tex_y_b),u_mix:new t.Uniform1f(e,r.u_mix)}},raster:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_tl_parent:new t.Uniform2f(e,r.u_tl_parent),u_scale_parent:new t.Uniform1f(e,r.u_scale_parent),u_buffer_scale:new t.Uniform1f(e,r.u_buffer_scale),u_fade_t:new t.Uniform1f(e,r.u_fade_t),u_opacity:new t.Uniform1f(e,r.u_opacity),u_image0:new t.Uniform1i(e,r.u_image0),u_image1:new t.Uniform1i(e,r.u_image1),u_brightness_low:new t.Uniform1f(e,r.u_brightness_low),u_brightness_high:new t.Uniform1f(e,r.u_brightness_high),u_saturation_factor:new t.Uniform1f(e,r.u_saturation_factor),u_contrast_factor:new t.Uniform1f(e,r.u_contrast_factor),u_spin_weights:new t.Uniform3f(e,r.u_spin_weights)}},symbolIcon:function(e,r){return{u_is_size_zoom_constant:new t.Uniform1i(e,r.u_is_size_zoom_constant),u_is_size_feature_constant:new t.Uniform1i(e,r.u_is_size_feature_constant),u_size_t:new t.Uniform1f(e,r.u_size_t),u_size:new t.Uniform1f(e,r.u_size),u_camera_to_center_distance:new t.Uniform1f(e,r.u_camera_to_center_distance),u_pitch:new t.Uniform1f(e,r.u_pitch),u_rotate_symbol:new t.Uniform1i(e,r.u_rotate_symbol),u_aspect_ratio:new t.Uniform1f(e,r.u_aspect_ratio),u_fade_change:new t.Uniform1f(e,r.u_fade_change),u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_label_plane_matrix:new t.UniformMatrix4f(e,r.u_label_plane_matrix),u_coord_matrix:new t.UniformMatrix4f(e,r.u_coord_matrix),u_is_text:new t.Uniform1i(e,r.u_is_text),u_pitch_with_map:new t.Uniform1i(e,r.u_pitch_with_map),u_texsize:new t.Uniform2f(e,r.u_texsize),u_texture:new t.Uniform1i(e,r.u_texture)}},symbolSDF:function(e,r){return{u_is_size_zoom_constant:new t.Uniform1i(e,r.u_is_size_zoom_constant),u_is_size_feature_constant:new t.Uniform1i(e,r.u_is_size_feature_constant),u_size_t:new t.Uniform1f(e,r.u_size_t),u_size:new t.Uniform1f(e,r.u_size),u_camera_to_center_distance:new t.Uniform1f(e,r.u_camera_to_center_distance),u_pitch:new t.Uniform1f(e,r.u_pitch),u_rotate_symbol:new t.Uniform1i(e,r.u_rotate_symbol),u_aspect_ratio:new t.Uniform1f(e,r.u_aspect_ratio),u_fade_change:new t.Uniform1f(e,r.u_fade_change),u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_label_plane_matrix:new t.UniformMatrix4f(e,r.u_label_plane_matrix),u_coord_matrix:new t.UniformMatrix4f(e,r.u_coord_matrix),u_is_text:new t.Uniform1i(e,r.u_is_text),u_pitch_with_map:new t.Uniform1i(e,r.u_pitch_with_map),u_texsize:new t.Uniform2f(e,r.u_texsize),u_texture:new t.Uniform1i(e,r.u_texture),u_gamma_scale:new t.Uniform1f(e,r.u_gamma_scale),u_device_pixel_ratio:new t.Uniform1f(e,r.u_device_pixel_ratio),u_is_halo:new t.Uniform1i(e,r.u_is_halo)}},symbolTextAndIcon:function(e,r){return{u_is_size_zoom_constant:new t.Uniform1i(e,r.u_is_size_zoom_constant),u_is_size_feature_constant:new t.Uniform1i(e,r.u_is_size_feature_constant),u_size_t:new t.Uniform1f(e,r.u_size_t),u_size:new t.Uniform1f(e,r.u_size),u_camera_to_center_distance:new t.Uniform1f(e,r.u_camera_to_center_distance),u_pitch:new t.Uniform1f(e,r.u_pitch),u_rotate_symbol:new t.Uniform1i(e,r.u_rotate_symbol),u_aspect_ratio:new t.Uniform1f(e,r.u_aspect_ratio),u_fade_change:new t.Uniform1f(e,r.u_fade_change),u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_label_plane_matrix:new t.UniformMatrix4f(e,r.u_label_plane_matrix),u_coord_matrix:new t.UniformMatrix4f(e,r.u_coord_matrix),u_is_text:new t.Uniform1i(e,r.u_is_text),u_pitch_with_map:new t.Uniform1i(e,r.u_pitch_with_map),u_texsize:new t.Uniform2f(e,r.u_texsize),u_texsize_icon:new t.Uniform2f(e,r.u_texsize_icon),u_texture:new t.Uniform1i(e,r.u_texture),u_texture_icon:new t.Uniform1i(e,r.u_texture_icon),u_gamma_scale:new t.Uniform1f(e,r.u_gamma_scale),u_device_pixel_ratio:new t.Uniform1f(e,r.u_device_pixel_ratio),u_is_halo:new t.Uniform1i(e,r.u_is_halo)}},background:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_opacity:new t.Uniform1f(e,r.u_opacity),u_color:new t.UniformColor(e,r.u_color)}},backgroundPattern:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_opacity:new t.Uniform1f(e,r.u_opacity),u_image:new t.Uniform1i(e,r.u_image),u_pattern_tl_a:new t.Uniform2f(e,r.u_pattern_tl_a),u_pattern_br_a:new t.Uniform2f(e,r.u_pattern_br_a),u_pattern_tl_b:new t.Uniform2f(e,r.u_pattern_tl_b),u_pattern_br_b:new t.Uniform2f(e,r.u_pattern_br_b),u_texsize:new t.Uniform2f(e,r.u_texsize),u_mix:new t.Uniform1f(e,r.u_mix),u_pattern_size_a:new t.Uniform2f(e,r.u_pattern_size_a),u_pattern_size_b:new t.Uniform2f(e,r.u_pattern_size_b),u_scale_a:new t.Uniform1f(e,r.u_scale_a),u_scale_b:new t.Uniform1f(e,r.u_scale_b),u_pixel_coord_upper:new t.Uniform2f(e,r.u_pixel_coord_upper),u_pixel_coord_lower:new t.Uniform2f(e,r.u_pixel_coord_lower),u_tile_units_to_pixels:new t.Uniform1f(e,r.u_tile_units_to_pixels)}}};function nn(e,r,n,i,a,o,s){for(var l=e.context,u=l.gl,c=e.useProgram("collisionBox"),f=[],h=0,p=0,d=0;d0){var _=t.create(),w=m;t.mul(_,y.placementInvProjMatrix,e.transform.glCoordMatrix),t.mul(_,_,y.placementViewportMatrix),f.push({circleArray:b,circleOffset:p,transform:w,invTransform:_}),p=h+=b.length/4}x&&c.draw(l,u.LINES,Mt.disabled,Et.disabled,e.colorModeForRenderPass(),Ct.disabled,Dr(m,e.transform,g),n.id,x.layoutVertexBuffer,x.indexBuffer,x.segments,null,e.transform.zoom,null,null,x.collisionVertexBuffer)}}if(s&&f.length){var T=e.useProgram("collisionCircle"),k=new t.StructArrayLayout2f1f2i16;k.resize(4*h),k._trim();for(var A=0,M=0,S=f;M=0&&(v[y.associatedIconIndex]={shiftedAnchor:S,angle:E})}else he(y.numGlyphs,p)}if(f){d.clear();for(var C=e.icon.placedSymbolArray,P=0;P0){var s=t.browser.now(),l=(s-e.timeAdded)/o,u=r?(s-r.timeAdded)/o:-1,c=n.getSource(),f=a.coveringZoomLevel({tileSize:c.tileSize,roundZoom:c.roundZoom}),h=!r||Math.abs(r.tileID.overscaledZ-f)>Math.abs(e.tileID.overscaledZ-f),p=h&&e.refreshedUponExpiration?1:t.clamp(h?l:1-u,0,1);return e.refreshedUponExpiration&&l>=1&&(e.refreshedUponExpiration=!1),r?{opacity:1,mix:1-p}:{opacity:p,mix:0}}return{opacity:1,mix:0}}var gn=new t.Color(1,0,0,1),yn=new t.Color(0,1,0,1),mn=new t.Color(0,0,1,1),xn=new t.Color(1,0,1,1),bn=new t.Color(0,1,1,1);function _n(t){var e=t.transform.padding;wn(t,t.transform.height-(e.top||0),3,gn),wn(t,e.bottom||0,3,yn),Tn(t,e.left||0,3,mn),Tn(t,t.transform.width-(e.right||0),3,xn);var r=t.transform.centerPoint;!function(t,e,r,n){var i=20,a=2;kn(t,e-a/2,r-i/2,a,i,n),kn(t,e-i/2,r-a/2,i,a,n)}(t,r.x,t.transform.height-r.y,bn)}function wn(t,e,r,n){kn(t,0,e+r/2,t.transform.width,r,n)}function Tn(t,e,r,n){kn(t,e-r/2,0,r,t.transform.height,n)}function kn(e,r,n,i,a,o){var s=e.context,l=s.gl;l.enable(l.SCISSOR_TEST),l.scissor(r*t.browser.devicePixelRatio,n*t.browser.devicePixelRatio,i*t.browser.devicePixelRatio,a*t.browser.devicePixelRatio),s.clear({color:o}),l.disable(l.SCISSOR_TEST)}function An(e,r,n){var i=e.context,a=i.gl,o=n.posMatrix,s=e.useProgram("debug"),l=Mt.disabled,u=Et.disabled,c=e.colorModeForRenderPass(),f="$debug";i.activeTexture.set(a.TEXTURE0),e.emptyTexture.bind(a.LINEAR,a.CLAMP_TO_EDGE),s.draw(i,a.LINE_STRIP,l,u,c,Ct.disabled,Rr(o,t.Color.red),f,e.debugBuffer,e.tileBorderIndexBuffer,e.debugSegments);var h=r.getTileByID(n.key).latestRawTileData,p=h&&h.byteLength||0,d=Math.floor(p/1024),v=r.getTile(n).tileSize,g=512/Math.min(v,512)*(n.overscaledZ/e.transform.zoom)*.5,y=n.canonical.toString();n.overscaledZ!==n.canonical.z&&(y+=" => "+n.overscaledZ),function(t,e){t.initDebugOverlayCanvas();var r=t.debugOverlayCanvas,n=t.context.gl,i=t.debugOverlayCanvas.getContext("2d");i.clearRect(0,0,r.width,r.height),i.shadowColor="white",i.shadowBlur=2,i.lineWidth=1.5,i.strokeStyle="white",i.textBaseline="top",i.font="bold 36px Open Sans, sans-serif",i.fillText(e,5,5),i.strokeText(e,5,5),t.debugOverlayTexture.update(r),t.debugOverlayTexture.bind(n.LINEAR,n.CLAMP_TO_EDGE)}(e,y+" "+d+"kb"),s.draw(i,a.TRIANGLES,l,u,Lt.alphaBlended,Ct.disabled,Rr(o,t.Color.transparent,g),f,e.debugBuffer,e.quadTriangleIndexBuffer,e.debugSegments)}var Mn={symbol:function(e,r,n,i,a){if("translucent"===e.renderPass){var o=Et.disabled,s=e.colorModeForRenderPass();n.layout.get("text-variable-anchor")&&function(e,r,n,i,a,o,s){for(var l=r.transform,u="map"===a,c="map"===o,f=0,h=e;f256&&this.clearStencil(),r.setColorMode(Lt.disabled),r.setDepthMode(Mt.disabled);var i=this.useProgram("clippingMask");this._tileClippingMaskIDs={};for(var a=0,o=e;a256&&this.clearStencil();var t=this.nextStencilID++,e=this.context.gl;return new Et({func:e.NOTEQUAL,mask:255},t,255,e.KEEP,e.KEEP,e.REPLACE)},Sn.prototype.stencilModeForClipping=function(t){var e=this.context.gl;return new Et({func:e.EQUAL,mask:255},this._tileClippingMaskIDs[t.key],0,e.KEEP,e.KEEP,e.REPLACE)},Sn.prototype.stencilConfigForOverlap=function(t){var e,r=this.context.gl,n=t.sort((function(t,e){return e.overscaledZ-t.overscaledZ})),i=n[n.length-1].overscaledZ,a=n[0].overscaledZ-i+1;if(a>1){this.currentStencilSource=void 0,this.nextStencilID+a>256&&this.clearStencil();for(var o={},s=0;s=0;this.currentLayer--){var w=this.style._layers[i[this.currentLayer]],T=a[w.source],k=c[w.source];this._renderTileClippingMasks(w,k),this.renderLayer(this,T,w,k)}for(this.renderPass="translucent",this.currentLayer=0;this.currentLayer0?e.pop():null},Sn.prototype.isPatternMissing=function(t){if(!t)return!1;if(!t.from||!t.to)return!0;var e=this.imageManager.getPattern(t.from.toString()),r=this.imageManager.getPattern(t.to.toString());return!e||!r},Sn.prototype.useProgram=function(t,e){this.cache=this.cache||{};var r=""+t+(e?e.cacheKey:"")+(this._showOverdrawInspector?"/overdraw":"");return this.cache[r]||(this.cache[r]=new Ar(this.context,t,wr[t],e,rn[t],this._showOverdrawInspector)),this.cache[r]},Sn.prototype.setCustomLayerDefaults=function(){this.context.unbindVAO(),this.context.cullFace.setDefault(),this.context.activeTexture.setDefault(),this.context.pixelStoreUnpack.setDefault(),this.context.pixelStoreUnpackPremultiplyAlpha.setDefault(),this.context.pixelStoreUnpackFlipY.setDefault()},Sn.prototype.setBaseState=function(){var t=this.context.gl;this.context.cullFace.set(!1),this.context.viewport.set([0,0,this.width,this.height]),this.context.blendEquation.set(t.FUNC_ADD)},Sn.prototype.initDebugOverlayCanvas=function(){if(null==this.debugOverlayCanvas){this.debugOverlayCanvas=t.window.document.createElement("canvas"),this.debugOverlayCanvas.width=512,this.debugOverlayCanvas.height=512;var e=this.context.gl;this.debugOverlayTexture=new t.Texture(this.context,this.debugOverlayCanvas,e.RGBA)}},Sn.prototype.destroy=function(){this.emptyTexture.destroy(),this.debugOverlayTexture&&this.debugOverlayTexture.destroy()};var En=function(t,e){this.points=t,this.planes=e};En.fromInvProjectionMatrix=function(e,r,n){var i=Math.pow(2,n),a=[[-1,1,-1,1],[1,1,-1,1],[1,-1,-1,1],[-1,-1,-1,1],[-1,1,1,1],[1,1,1,1],[1,-1,1,1],[-1,-1,1,1]].map((function(r){return t.transformMat4([],r,e)})).map((function(e){return t.scale$1([],e,1/e[3]/r*i)})),o=[[0,1,2],[6,5,4],[0,3,7],[2,1,5],[3,2,6],[0,4,5]].map((function(e){var r=t.sub([],a[e[0]],a[e[1]]),n=t.sub([],a[e[2]],a[e[1]]),i=t.normalize([],t.cross([],r,n)),o=-t.dot(i,a[e[1]]);return i.concat(o)}));return new En(a,o)};var Ln=function(e,r){this.min=e,this.max=r,this.center=t.scale$2([],t.add([],this.min,this.max),.5)};Ln.prototype.quadrant=function(e){for(var r=[e%2==0,e<2],n=t.clone$2(this.min),i=t.clone$2(this.max),a=0;a=0;if(0===o)return 0;o!==r.length&&(n=!1)}if(n)return 2;for(var l=0;l<3;l++){for(var u=Number.MAX_VALUE,c=-Number.MAX_VALUE,f=0;fthis.max[l]-this.min[l])return 0}return 1};var Cn=function(t,e,r,n){if(void 0===t&&(t=0),void 0===e&&(e=0),void 0===r&&(r=0),void 0===n&&(n=0),isNaN(t)||t<0||isNaN(e)||e<0||isNaN(r)||r<0||isNaN(n)||n<0)throw new Error("Invalid value for edge-insets, top, bottom, left and right must all be numbers");this.top=t,this.bottom=e,this.left=r,this.right=n};Cn.prototype.interpolate=function(e,r,n){return null!=r.top&&null!=e.top&&(this.top=t.number(e.top,r.top,n)),null!=r.bottom&&null!=e.bottom&&(this.bottom=t.number(e.bottom,r.bottom,n)),null!=r.left&&null!=e.left&&(this.left=t.number(e.left,r.left,n)),null!=r.right&&null!=e.right&&(this.right=t.number(e.right,r.right,n)),this},Cn.prototype.getCenter=function(e,r){var n=t.clamp((this.left+e-this.right)/2,0,e),i=t.clamp((this.top+r-this.bottom)/2,0,r);return new t.Point(n,i)},Cn.prototype.equals=function(t){return this.top===t.top&&this.bottom===t.bottom&&this.left===t.left&&this.right===t.right},Cn.prototype.clone=function(){return new Cn(this.top,this.bottom,this.left,this.right)},Cn.prototype.toJSON=function(){return{top:this.top,bottom:this.bottom,left:this.left,right:this.right}};var Pn=function(e,r,n,i,a){this.tileSize=512,this.maxValidLatitude=85.051129,this._renderWorldCopies=void 0===a||a,this._minZoom=e||0,this._maxZoom=r||22,this._minPitch=null==n?0:n,this._maxPitch=null==i?60:i,this.setMaxBounds(),this.width=0,this.height=0,this._center=new t.LngLat(0,0),this.zoom=0,this.angle=0,this._fov=.6435011087932844,this._pitch=0,this._unmodified=!0,this._edgeInsets=new Cn,this._posMatrixCache={},this._alignedPosMatrixCache={}},On={minZoom:{configurable:!0},maxZoom:{configurable:!0},minPitch:{configurable:!0},maxPitch:{configurable:!0},renderWorldCopies:{configurable:!0},worldSize:{configurable:!0},centerOffset:{configurable:!0},size:{configurable:!0},bearing:{configurable:!0},pitch:{configurable:!0},fov:{configurable:!0},zoom:{configurable:!0},center:{configurable:!0},padding:{configurable:!0},centerPoint:{configurable:!0},unmodified:{configurable:!0},point:{configurable:!0}};Pn.prototype.clone=function(){var t=new Pn(this._minZoom,this._maxZoom,this._minPitch,this.maxPitch,this._renderWorldCopies);return t.tileSize=this.tileSize,t.latRange=this.latRange,t.width=this.width,t.height=this.height,t._center=this._center,t.zoom=this.zoom,t.angle=this.angle,t._fov=this._fov,t._pitch=this._pitch,t._unmodified=this._unmodified,t._edgeInsets=this._edgeInsets.clone(),t._calcMatrices(),t},On.minZoom.get=function(){return this._minZoom},On.minZoom.set=function(t){this._minZoom!==t&&(this._minZoom=t,this.zoom=Math.max(this.zoom,t))},On.maxZoom.get=function(){return this._maxZoom},On.maxZoom.set=function(t){this._maxZoom!==t&&(this._maxZoom=t,this.zoom=Math.min(this.zoom,t))},On.minPitch.get=function(){return this._minPitch},On.minPitch.set=function(t){this._minPitch!==t&&(this._minPitch=t,this.pitch=Math.max(this.pitch,t))},On.maxPitch.get=function(){return this._maxPitch},On.maxPitch.set=function(t){this._maxPitch!==t&&(this._maxPitch=t,this.pitch=Math.min(this.pitch,t))},On.renderWorldCopies.get=function(){return this._renderWorldCopies},On.renderWorldCopies.set=function(t){void 0===t?t=!0:null===t&&(t=!1),this._renderWorldCopies=t},On.worldSize.get=function(){return this.tileSize*this.scale},On.centerOffset.get=function(){return this.centerPoint._sub(this.size._div(2))},On.size.get=function(){return new t.Point(this.width,this.height)},On.bearing.get=function(){return-this.angle/Math.PI*180},On.bearing.set=function(e){var r=-t.wrap(e,-180,180)*Math.PI/180;this.angle!==r&&(this._unmodified=!1,this.angle=r,this._calcMatrices(),this.rotationMatrix=t.create$2(),t.rotate(this.rotationMatrix,this.rotationMatrix,this.angle))},On.pitch.get=function(){return this._pitch/Math.PI*180},On.pitch.set=function(e){var r=t.clamp(e,this.minPitch,this.maxPitch)/180*Math.PI;this._pitch!==r&&(this._unmodified=!1,this._pitch=r,this._calcMatrices())},On.fov.get=function(){return this._fov/Math.PI*180},On.fov.set=function(t){t=Math.max(.01,Math.min(60,t)),this._fov!==t&&(this._unmodified=!1,this._fov=t/180*Math.PI,this._calcMatrices())},On.zoom.get=function(){return this._zoom},On.zoom.set=function(t){var e=Math.min(Math.max(t,this.minZoom),this.maxZoom);this._zoom!==e&&(this._unmodified=!1,this._zoom=e,this.scale=this.zoomScale(e),this.tileZoom=Math.floor(e),this.zoomFraction=e-this.tileZoom,this._constrain(),this._calcMatrices())},On.center.get=function(){return this._center},On.center.set=function(t){t.lat===this._center.lat&&t.lng===this._center.lng||(this._unmodified=!1,this._center=t,this._constrain(),this._calcMatrices())},On.padding.get=function(){return this._edgeInsets.toJSON()},On.padding.set=function(t){this._edgeInsets.equals(t)||(this._unmodified=!1,this._edgeInsets.interpolate(this._edgeInsets,t,1),this._calcMatrices())},On.centerPoint.get=function(){return this._edgeInsets.getCenter(this.width,this.height)},Pn.prototype.isPaddingEqual=function(t){return this._edgeInsets.equals(t)},Pn.prototype.interpolatePadding=function(t,e,r){this._unmodified=!1,this._edgeInsets.interpolate(t,e,r),this._constrain(),this._calcMatrices()},Pn.prototype.coveringZoomLevel=function(t){var e=(t.roundZoom?Math.round:Math.floor)(this.zoom+this.scaleZoom(this.tileSize/t.tileSize));return Math.max(0,e)},Pn.prototype.getVisibleUnwrappedCoordinates=function(e){var r=[new t.UnwrappedTileID(0,e)];if(this._renderWorldCopies)for(var n=this.pointCoordinate(new t.Point(0,0)),i=this.pointCoordinate(new t.Point(this.width,0)),a=this.pointCoordinate(new t.Point(this.width,this.height)),o=this.pointCoordinate(new t.Point(0,this.height)),s=Math.floor(Math.min(n.x,i.x,a.x,o.x)),l=Math.floor(Math.max(n.x,i.x,a.x,o.x)),u=s-1;u<=l+1;u++)0!==u&&r.push(new t.UnwrappedTileID(u,e));return r},Pn.prototype.coveringTiles=function(e){var r=this.coveringZoomLevel(e),n=r;if(void 0!==e.minzoom&&re.maxzoom&&(r=e.maxzoom);var i=t.MercatorCoordinate.fromLngLat(this.center),a=Math.pow(2,r),o=[a*i.x,a*i.y,0],s=En.fromInvProjectionMatrix(this.invProjMatrix,this.worldSize,r),l=e.minzoom||0;this.pitch<=60&&this._edgeInsets.top<.1&&(l=r);var u=function(t){return{aabb:new Ln([t*a,0,0],[(t+1)*a,a,0]),zoom:0,x:0,y:0,wrap:t,fullyVisible:!1}},c=[],f=[],h=r,p=e.reparseOverscaled?n:r;if(this._renderWorldCopies)for(var d=1;d<=3;d++)c.push(u(-d)),c.push(u(d));for(c.push(u(0));c.length>0;){var v=c.pop(),g=v.x,y=v.y,m=v.fullyVisible;if(!m){var x=v.aabb.intersects(s);if(0===x)continue;m=2===x}var b=v.aabb.distanceX(o),_=v.aabb.distanceY(o),w=Math.max(Math.abs(b),Math.abs(_)),T=3+(1<T&&v.zoom>=l)f.push({tileID:new t.OverscaledTileID(v.zoom===h?p:v.zoom,v.wrap,v.zoom,g,y),distanceSq:t.sqrLen([o[0]-.5-g,o[1]-.5-y])});else for(var k=0;k<4;k++){var A=(g<<1)+k%2,M=(y<<1)+(k>>1);c.push({aabb:v.aabb.quadrant(k),zoom:v.zoom+1,x:A,y:M,wrap:v.wrap,fullyVisible:m})}}return f.sort((function(t,e){return t.distanceSq-e.distanceSq})).map((function(t){return t.tileID}))},Pn.prototype.resize=function(t,e){this.width=t,this.height=e,this.pixelsToGLUnits=[2/t,-2/e],this._constrain(),this._calcMatrices()},On.unmodified.get=function(){return this._unmodified},Pn.prototype.zoomScale=function(t){return Math.pow(2,t)},Pn.prototype.scaleZoom=function(t){return Math.log(t)/Math.LN2},Pn.prototype.project=function(e){var r=t.clamp(e.lat,-this.maxValidLatitude,this.maxValidLatitude);return new t.Point(t.mercatorXfromLng(e.lng)*this.worldSize,t.mercatorYfromLat(r)*this.worldSize)},Pn.prototype.unproject=function(e){return new t.MercatorCoordinate(e.x/this.worldSize,e.y/this.worldSize).toLngLat()},On.point.get=function(){return this.project(this.center)},Pn.prototype.setLocationAtPoint=function(e,r){var n=this.pointCoordinate(r),i=this.pointCoordinate(this.centerPoint),a=this.locationCoordinate(e),o=new t.MercatorCoordinate(a.x-(n.x-i.x),a.y-(n.y-i.y));this.center=this.coordinateLocation(o),this._renderWorldCopies&&(this.center=this.center.wrap())},Pn.prototype.locationPoint=function(t){return this.coordinatePoint(this.locationCoordinate(t))},Pn.prototype.pointLocation=function(t){return this.coordinateLocation(this.pointCoordinate(t))},Pn.prototype.locationCoordinate=function(e){return t.MercatorCoordinate.fromLngLat(e)},Pn.prototype.coordinateLocation=function(t){return t.toLngLat()},Pn.prototype.pointCoordinate=function(e){var r=[e.x,e.y,0,1],n=[e.x,e.y,1,1];t.transformMat4(r,r,this.pixelMatrixInverse),t.transformMat4(n,n,this.pixelMatrixInverse);var i=r[3],a=n[3],o=r[0]/i,s=n[0]/a,l=r[1]/i,u=n[1]/a,c=r[2]/i,f=n[2]/a,h=c===f?0:(0-c)/(f-c);return new t.MercatorCoordinate(t.number(o,s,h)/this.worldSize,t.number(l,u,h)/this.worldSize)},Pn.prototype.coordinatePoint=function(e){var r=[e.x*this.worldSize,e.y*this.worldSize,0,1];return t.transformMat4(r,r,this.pixelMatrix),new t.Point(r[0]/r[3],r[1]/r[3])},Pn.prototype.getBounds=function(){return(new t.LngLatBounds).extend(this.pointLocation(new t.Point(0,0))).extend(this.pointLocation(new t.Point(this.width,0))).extend(this.pointLocation(new t.Point(this.width,this.height))).extend(this.pointLocation(new t.Point(0,this.height)))},Pn.prototype.getMaxBounds=function(){return this.latRange&&2===this.latRange.length&&this.lngRange&&2===this.lngRange.length?new t.LngLatBounds([this.lngRange[0],this.latRange[0]],[this.lngRange[1],this.latRange[1]]):null},Pn.prototype.setMaxBounds=function(t){t?(this.lngRange=[t.getWest(),t.getEast()],this.latRange=[t.getSouth(),t.getNorth()],this._constrain()):(this.lngRange=null,this.latRange=[-this.maxValidLatitude,this.maxValidLatitude])},Pn.prototype.calculatePosMatrix=function(e,r){void 0===r&&(r=!1);var n=e.key,i=r?this._alignedPosMatrixCache:this._posMatrixCache;if(i[n])return i[n];var a=e.canonical,o=this.worldSize/this.zoomScale(a.z),s=a.x+Math.pow(2,a.z)*e.wrap,l=t.identity(new Float64Array(16));return t.translate(l,l,[s*o,a.y*o,0]),t.scale(l,l,[o/t.EXTENT,o/t.EXTENT,1]),t.multiply(l,r?this.alignedProjMatrix:this.projMatrix,l),i[n]=new Float32Array(l),i[n]},Pn.prototype.customLayerMatrix=function(){return this.mercatorMatrix.slice()},Pn.prototype._constrain=function(){if(this.center&&this.width&&this.height&&!this._constraining){this._constraining=!0;var e,r,n,i,a=-90,o=90,s=-180,l=180,u=this.size,c=this._unmodified;if(this.latRange){var f=this.latRange;a=t.mercatorYfromLat(f[1])*this.worldSize,e=(o=t.mercatorYfromLat(f[0])*this.worldSize)-ao&&(i=o-g)}if(this.lngRange){var y=p.x,m=u.x/2;y-ml&&(n=l-m)}void 0===n&&void 0===i||(this.center=this.unproject(new t.Point(void 0!==n?n:p.x,void 0!==i?i:p.y))),this._unmodified=c,this._constraining=!1}},Pn.prototype._calcMatrices=function(){if(this.height){var e=this._fov/2,r=this.centerOffset;this.cameraToCenterDistance=.5/Math.tan(e)*this.height;var n=Math.PI/2+this._pitch,i=this._fov*(.5+r.y/this.height),a=Math.sin(i)*this.cameraToCenterDistance/Math.sin(t.clamp(Math.PI-n-i,.01,Math.PI-.01)),o=this.point,s=o.x,l=o.y,u=1.01*(Math.cos(Math.PI/2-this._pitch)*a+this.cameraToCenterDistance),c=this.height/50,f=new Float64Array(16);t.perspective(f,this._fov,this.width/this.height,c,u),f[8]=2*-r.x/this.width,f[9]=2*r.y/this.height,t.scale(f,f,[1,-1,1]),t.translate(f,f,[0,0,-this.cameraToCenterDistance]),t.rotateX(f,f,this._pitch),t.rotateZ(f,f,this.angle),t.translate(f,f,[-s,-l,0]),this.mercatorMatrix=t.scale([],f,[this.worldSize,this.worldSize,this.worldSize]),t.scale(f,f,[1,1,t.mercatorZfromAltitude(1,this.center.lat)*this.worldSize,1]),this.projMatrix=f,this.invProjMatrix=t.invert([],this.projMatrix);var h=this.width%2/2,p=this.height%2/2,d=Math.cos(this.angle),v=Math.sin(this.angle),g=s-Math.round(s)+d*h+v*p,y=l-Math.round(l)+d*p+v*h,m=new Float64Array(f);if(t.translate(m,m,[g>.5?g-1:g,y>.5?y-1:y,0]),this.alignedProjMatrix=m,f=t.create(),t.scale(f,f,[this.width/2,-this.height/2,1]),t.translate(f,f,[1,-1,0]),this.labelPlaneMatrix=f,f=t.create(),t.scale(f,f,[1,-1,1]),t.translate(f,f,[-1,-1,0]),t.scale(f,f,[2/this.width,2/this.height,1]),this.glCoordMatrix=f,this.pixelMatrix=t.multiply(new Float64Array(16),this.labelPlaneMatrix,this.projMatrix),!(f=t.invert(new Float64Array(16),this.pixelMatrix)))throw new Error("failed to invert matrix");this.pixelMatrixInverse=f,this._posMatrixCache={},this._alignedPosMatrixCache={}}},Pn.prototype.maxPitchScaleFactor=function(){if(!this.pixelMatrixInverse)return 1;var e=this.pointCoordinate(new t.Point(0,0)),r=[e.x*this.worldSize,e.y*this.worldSize,0,1];return t.transformMat4(r,r,this.pixelMatrix)[3]/this.cameraToCenterDistance},Pn.prototype.getCameraPoint=function(){var e=this._pitch,r=Math.tan(e)*(this.cameraToCenterDistance||1);return this.centerPoint.add(new t.Point(0,r))},Pn.prototype.getCameraQueryGeometry=function(e){var r=this.getCameraPoint();if(1===e.length)return[e[0],r];for(var n=r.x,i=r.y,a=r.x,o=r.y,s=0,l=e;s=3&&!t.some((function(t){return isNaN(t)}))){var e=this._map.dragRotate.isEnabled()&&this._map.touchZoomRotate.isEnabled()?+(t[3]||0):this._map.getBearing();return this._map.jumpTo({center:[+t[2],+t[1]],zoom:+t[0],bearing:e,pitch:+(t[4]||0)}),!0}return!1},In.prototype._updateHashUnthrottled=function(){var e=t.window.location.href.replace(/(#.+)?$/,this.getHashString());try{t.window.history.replaceState(t.window.history.state,null,e)}catch(t){}};var Dn={linearity:.3,easing:t.bezier(0,0,.3,1)},zn=t.extend({deceleration:2500,maxSpeed:1400},Dn),Rn=t.extend({deceleration:20,maxSpeed:1400},Dn),Fn=t.extend({deceleration:1e3,maxSpeed:360},Dn),Bn=t.extend({deceleration:1e3,maxSpeed:90},Dn),Nn=function(t){this._map=t,this.clear()};function jn(t,e){(!t.duration||t.duration0&&r-e[0].time>160;)e.shift()},Nn.prototype._onMoveEnd=function(e){if(this._drainInertiaBuffer(),!(this._inertiaBuffer.length<2)){for(var r={zoom:0,bearing:0,pitch:0,pan:new t.Point(0,0),pinchAround:void 0,around:void 0},n=0,i=this._inertiaBuffer;n=this._clickTolerance||this._map.fire(new Vn(t.type,this._map,t))},Gn.prototype.dblclick=function(t){return this._firePreventable(new Vn(t.type,this._map,t))},Gn.prototype.mouseover=function(t){this._map.fire(new Vn(t.type,this._map,t))},Gn.prototype.mouseout=function(t){this._map.fire(new Vn(t.type,this._map,t))},Gn.prototype.touchstart=function(t){return this._firePreventable(new qn(t.type,this._map,t))},Gn.prototype.touchmove=function(t){this._map.fire(new qn(t.type,this._map,t))},Gn.prototype.touchend=function(t){this._map.fire(new qn(t.type,this._map,t))},Gn.prototype.touchcancel=function(t){this._map.fire(new qn(t.type,this._map,t))},Gn.prototype._firePreventable=function(t){if(this._map.fire(t),t.defaultPrevented)return{}},Gn.prototype.isEnabled=function(){return!0},Gn.prototype.isActive=function(){return!1},Gn.prototype.enable=function(){},Gn.prototype.disable=function(){};var Wn=function(t){this._map=t};Wn.prototype.reset=function(){this._delayContextMenu=!1,delete this._contextMenuEvent},Wn.prototype.mousemove=function(t){this._map.fire(new Vn(t.type,this._map,t))},Wn.prototype.mousedown=function(){this._delayContextMenu=!0},Wn.prototype.mouseup=function(){this._delayContextMenu=!1,this._contextMenuEvent&&(this._map.fire(new Vn("contextmenu",this._map,this._contextMenuEvent)),delete this._contextMenuEvent)},Wn.prototype.contextmenu=function(t){this._delayContextMenu?this._contextMenuEvent=t:this._map.fire(new Vn(t.type,this._map,t)),this._map.listens("contextmenu")&&t.preventDefault()},Wn.prototype.isEnabled=function(){return!0},Wn.prototype.isActive=function(){return!1},Wn.prototype.enable=function(){},Wn.prototype.disable=function(){};var Yn=function(t,e){this._map=t,this._el=t.getCanvasContainer(),this._container=t.getContainer(),this._clickTolerance=e.clickTolerance||1};function Xn(t,e){for(var r={},n=0;nthis.numTouches)&&(this.aborted=!0),this.aborted||(void 0===this.startTime&&(this.startTime=e.timeStamp),n.length===this.numTouches&&(this.centroid=function(e){for(var r=new t.Point(0,0),n=0,i=e;n30)&&(this.aborted=!0)}}},Zn.prototype.touchend=function(t,e,r){if((!this.centroid||t.timeStamp-this.startTime>500)&&(this.aborted=!0),0===r.length){var n=!this.aborted&&this.centroid;if(this.reset(),n)return n}};var Kn=function(t){this.singleTap=new Zn(t),this.numTaps=t.numTaps,this.reset()};Kn.prototype.reset=function(){this.lastTime=1/0,delete this.lastTap,this.count=0,this.singleTap.reset()},Kn.prototype.touchstart=function(t,e,r){this.singleTap.touchstart(t,e,r)},Kn.prototype.touchmove=function(t,e,r){this.singleTap.touchmove(t,e,r)},Kn.prototype.touchend=function(t,e,r){var n=this.singleTap.touchend(t,e,r);if(n){var i=t.timeStamp-this.lastTime<500,a=!this.lastTap||this.lastTap.dist(n)<30;if(i&&a||this.reset(),this.count++,this.lastTime=t.timeStamp,this.lastTap=n,this.count===this.numTaps)return this.reset(),n}};var Jn=function(){this._zoomIn=new Kn({numTouches:1,numTaps:2}),this._zoomOut=new Kn({numTouches:2,numTaps:1}),this.reset()};Jn.prototype.reset=function(){this._active=!1,this._zoomIn.reset(),this._zoomOut.reset()},Jn.prototype.touchstart=function(t,e,r){this._zoomIn.touchstart(t,e,r),this._zoomOut.touchstart(t,e,r)},Jn.prototype.touchmove=function(t,e,r){this._zoomIn.touchmove(t,e,r),this._zoomOut.touchmove(t,e,r)},Jn.prototype.touchend=function(t,e,r){var n=this,i=this._zoomIn.touchend(t,e,r),a=this._zoomOut.touchend(t,e,r);return i?(this._active=!0,t.preventDefault(),setTimeout((function(){return n.reset()}),0),{cameraAnimation:function(e){return e.easeTo({duration:300,zoom:e.getZoom()+1,around:e.unproject(i)},{originalEvent:t})}}):a?(this._active=!0,t.preventDefault(),setTimeout((function(){return n.reset()}),0),{cameraAnimation:function(e){return e.easeTo({duration:300,zoom:e.getZoom()-1,around:e.unproject(a)},{originalEvent:t})}}):void 0},Jn.prototype.touchcancel=function(){this.reset()},Jn.prototype.enable=function(){this._enabled=!0},Jn.prototype.disable=function(){this._enabled=!1,this.reset()},Jn.prototype.isEnabled=function(){return this._enabled},Jn.prototype.isActive=function(){return this._active};var $n={};$n[0]=1,$n[2]=2;var Qn=function(t){this.reset(),this._clickTolerance=t.clickTolerance||1};Qn.prototype.reset=function(){this._active=!1,this._moved=!1,delete this._lastPoint,delete this._eventButton},Qn.prototype._correctButton=function(t,e){return!1},Qn.prototype._move=function(t,e){return{}},Qn.prototype.mousedown=function(t,e){if(!this._lastPoint){var n=r.mouseButton(t);this._correctButton(t,n)&&(this._lastPoint=e,this._eventButton=n)}},Qn.prototype.mousemoveWindow=function(t,e){var r=this._lastPoint;if(r)if(t.preventDefault(),function(t,e){var r=$n[e];return void 0===t.buttons||(t.buttons&r)!==r}(t,this._eventButton))this.reset();else if(this._moved||!(e.dist(r)0&&(this._active=!0);var i=Xn(n,r),a=new t.Point(0,0),o=new t.Point(0,0),s=0;for(var l in i){var u=i[l],c=this._touches[l];c&&(a._add(u),o._add(u.sub(c)),s++,i[l]=u)}if(this._touches=i,!(sMath.abs(t.x)}var fi=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.reset=function(){t.prototype.reset.call(this),this._valid=void 0,delete this._firstMove,delete this._lastPoints},e.prototype._start=function(t){this._lastPoints=t,ci(t[0].sub(t[1]))&&(this._valid=!1)},e.prototype._move=function(t,e,r){var n=t[0].sub(this._lastPoints[0]),i=t[1].sub(this._lastPoints[1]);if(this._valid=this.gestureBeginsVertically(n,i,r.timeStamp),this._valid)return this._lastPoints=t,this._active=!0,{pitchDelta:(n.y+i.y)/2*-.5}},e.prototype.gestureBeginsVertically=function(t,e,r){if(void 0!==this._valid)return this._valid;var n=t.mag()>=2,i=e.mag()>=2;if(n||i){if(!n||!i)return void 0===this._firstMove&&(this._firstMove=r),r-this._firstMove<100&&void 0;var a=t.y>0==e.y>0;return ci(t)&&ci(e)&&a}},e}(ii),hi={panStep:100,bearingStep:15,pitchStep:10},pi=function(){var t=hi;this._panStep=t.panStep,this._bearingStep=t.bearingStep,this._pitchStep=t.pitchStep,this._rotationDisabled=!1};function di(t){return t*(2-t)}pi.prototype.reset=function(){this._active=!1},pi.prototype.keydown=function(t){var e=this;if(!(t.altKey||t.ctrlKey||t.metaKey)){var r=0,n=0,i=0,a=0,o=0;switch(t.keyCode){case 61:case 107:case 171:case 187:r=1;break;case 189:case 109:case 173:r=-1;break;case 37:t.shiftKey?n=-1:(t.preventDefault(),a=-1);break;case 39:t.shiftKey?n=1:(t.preventDefault(),a=1);break;case 38:t.shiftKey?i=1:(t.preventDefault(),o=-1);break;case 40:t.shiftKey?i=-1:(t.preventDefault(),o=1);break;default:return}return this._rotationDisabled&&(n=0,i=0),{cameraAnimation:function(s){var l=s.getZoom();s.easeTo({duration:300,easeId:"keyboardHandler",easing:di,zoom:r?Math.round(l)+r*(t.shiftKey?2:1):l,bearing:s.getBearing()+n*e._bearingStep,pitch:s.getPitch()+i*e._pitchStep,offset:[-a*e._panStep,-o*e._panStep],center:s.getCenter()},{originalEvent:t})}}}},pi.prototype.enable=function(){this._enabled=!0},pi.prototype.disable=function(){this._enabled=!1,this.reset()},pi.prototype.isEnabled=function(){return this._enabled},pi.prototype.isActive=function(){return this._active},pi.prototype.disableRotation=function(){this._rotationDisabled=!0},pi.prototype.enableRotation=function(){this._rotationDisabled=!1};var vi=4.000244140625,gi=function(e,r){this._map=e,this._el=e.getCanvasContainer(),this._handler=r,this._delta=0,this._defaultZoomRate=.01,this._wheelZoomRate=.0022222222222222222,t.bindAll(["_onTimeout"],this)};gi.prototype.setZoomRate=function(t){this._defaultZoomRate=t},gi.prototype.setWheelZoomRate=function(t){this._wheelZoomRate=t},gi.prototype.isEnabled=function(){return!!this._enabled},gi.prototype.isActive=function(){return!!this._active||void 0!==this._finishTimeout},gi.prototype.isZooming=function(){return!!this._zooming},gi.prototype.enable=function(t){this.isEnabled()||(this._enabled=!0,this._aroundCenter=t&&"center"===t.around)},gi.prototype.disable=function(){this.isEnabled()&&(this._enabled=!1)},gi.prototype.wheel=function(e){if(this.isEnabled()){var r=e.deltaMode===t.window.WheelEvent.DOM_DELTA_LINE?40*e.deltaY:e.deltaY,n=t.browser.now(),i=n-(this._lastWheelEventTime||0);this._lastWheelEventTime=n,0!==r&&r%vi==0?this._type="wheel":0!==r&&Math.abs(r)<4?this._type="trackpad":i>400?(this._type=null,this._lastValue=r,this._timeout=setTimeout(this._onTimeout,40,e)):this._type||(this._type=Math.abs(i*r)<200?"trackpad":"wheel",this._timeout&&(clearTimeout(this._timeout),this._timeout=null,r+=this._lastValue)),e.shiftKey&&r&&(r/=4),this._type&&(this._lastWheelEvent=e,this._delta-=r,this._active||this._start(e)),e.preventDefault()}},gi.prototype._onTimeout=function(t){this._type="wheel",this._delta-=this._lastValue,this._active||this._start(t)},gi.prototype._start=function(e){if(this._delta){this._frameId&&(this._frameId=null),this._active=!0,this.isZooming()||(this._zooming=!0),this._finishTimeout&&(clearTimeout(this._finishTimeout),delete this._finishTimeout);var n=r.mousePos(this._el,e);this._around=t.LngLat.convert(this._aroundCenter?this._map.getCenter():this._map.unproject(n)),this._aroundPoint=this._map.transform.locationPoint(this._around),this._frameId||(this._frameId=!0,this._handler._triggerRenderFrame())}},gi.prototype.renderFrame=function(){var e=this;if(this._frameId&&(this._frameId=null,this.isActive())){var r=this._map.transform;if(0!==this._delta){var n="wheel"===this._type&&Math.abs(this._delta)>vi?this._wheelZoomRate:this._defaultZoomRate,i=2/(1+Math.exp(-Math.abs(this._delta*n)));this._delta<0&&0!==i&&(i=1/i);var a="number"==typeof this._targetZoom?r.zoomScale(this._targetZoom):r.scale;this._targetZoom=Math.min(r.maxZoom,Math.max(r.minZoom,r.scaleZoom(a*i))),"wheel"===this._type&&(this._startZoom=r.zoom,this._easing=this._smoothOutEasing(200)),this._delta=0}var o,s="number"==typeof this._targetZoom?this._targetZoom:r.zoom,l=this._startZoom,u=this._easing,c=!1;if("wheel"===this._type&&l&&u){var f=Math.min((t.browser.now()-this._lastWheelEventTime)/200,1),h=u(f);o=t.number(l,s,h),f<1?this._frameId||(this._frameId=!0):c=!0}else o=s,c=!0;return this._active=!0,c&&(this._active=!1,this._finishTimeout=setTimeout((function(){e._zooming=!1,e._handler._triggerRenderFrame(),delete e._targetZoom,delete e._finishTimeout}),200)),{noInertia:!0,needsRenderFrame:!c,zoomDelta:o-r.zoom,around:this._aroundPoint,originalEvent:this._lastWheelEvent}}},gi.prototype._smoothOutEasing=function(e){var r=t.ease;if(this._prevEase){var n=this._prevEase,i=(t.browser.now()-n.start)/n.duration,a=n.easing(i+.01)-n.easing(i),o=.27/Math.sqrt(a*a+1e-4)*.01,s=Math.sqrt(.0729-o*o);r=t.bezier(o,s,.25,1)}return this._prevEase={start:t.browser.now(),duration:e,easing:r},r},gi.prototype.reset=function(){this._active=!1};var yi=function(t,e){this._clickZoom=t,this._tapZoom=e};yi.prototype.enable=function(){this._clickZoom.enable(),this._tapZoom.enable()},yi.prototype.disable=function(){this._clickZoom.disable(),this._tapZoom.disable()},yi.prototype.isEnabled=function(){return this._clickZoom.isEnabled()&&this._tapZoom.isEnabled()},yi.prototype.isActive=function(){return this._clickZoom.isActive()||this._tapZoom.isActive()};var mi=function(){this.reset()};mi.prototype.reset=function(){this._active=!1},mi.prototype.dblclick=function(t,e){return t.preventDefault(),{cameraAnimation:function(r){r.easeTo({duration:300,zoom:r.getZoom()+(t.shiftKey?-1:1),around:r.unproject(e)},{originalEvent:t})}}},mi.prototype.enable=function(){this._enabled=!0},mi.prototype.disable=function(){this._enabled=!1,this.reset()},mi.prototype.isEnabled=function(){return this._enabled},mi.prototype.isActive=function(){return this._active};var xi=function(){this._tap=new Kn({numTouches:1,numTaps:1}),this.reset()};xi.prototype.reset=function(){this._active=!1,delete this._swipePoint,delete this._swipeTouch,delete this._tapTime,this._tap.reset()},xi.prototype.touchstart=function(t,e,r){this._swipePoint||(this._tapTime&&t.timeStamp-this._tapTime>500&&this.reset(),this._tapTime?r.length>0&&(this._swipePoint=e[0],this._swipeTouch=r[0].identifier):this._tap.touchstart(t,e,r))},xi.prototype.touchmove=function(t,e,r){if(this._tapTime){if(this._swipePoint){if(r[0].identifier!==this._swipeTouch)return;var n=e[0],i=n.y-this._swipePoint.y;return this._swipePoint=n,t.preventDefault(),this._active=!0,{zoomDelta:i/128}}}else this._tap.touchmove(t,e,r)},xi.prototype.touchend=function(t,e,r){this._tapTime?this._swipePoint&&0===r.length&&this.reset():this._tap.touchend(t,e,r)&&(this._tapTime=t.timeStamp)},xi.prototype.touchcancel=function(){this.reset()},xi.prototype.enable=function(){this._enabled=!0},xi.prototype.disable=function(){this._enabled=!1,this.reset()},xi.prototype.isEnabled=function(){return this._enabled},xi.prototype.isActive=function(){return this._active};var bi=function(t,e,r){this._el=t,this._mousePan=e,this._touchPan=r};bi.prototype.enable=function(t){this._inertiaOptions=t||{},this._mousePan.enable(),this._touchPan.enable(),this._el.classList.add("mapboxgl-touch-drag-pan")},bi.prototype.disable=function(){this._mousePan.disable(),this._touchPan.disable(),this._el.classList.remove("mapboxgl-touch-drag-pan")},bi.prototype.isEnabled=function(){return this._mousePan.isEnabled()&&this._touchPan.isEnabled()},bi.prototype.isActive=function(){return this._mousePan.isActive()||this._touchPan.isActive()};var _i=function(t,e,r){this._pitchWithRotate=t.pitchWithRotate,this._mouseRotate=e,this._mousePitch=r};_i.prototype.enable=function(){this._mouseRotate.enable(),this._pitchWithRotate&&this._mousePitch.enable()},_i.prototype.disable=function(){this._mouseRotate.disable(),this._mousePitch.disable()},_i.prototype.isEnabled=function(){return this._mouseRotate.isEnabled()&&(!this._pitchWithRotate||this._mousePitch.isEnabled())},_i.prototype.isActive=function(){return this._mouseRotate.isActive()||this._mousePitch.isActive()};var wi=function(t,e,r,n){this._el=t,this._touchZoom=e,this._touchRotate=r,this._tapDragZoom=n,this._rotationDisabled=!1,this._enabled=!0};wi.prototype.enable=function(t){this._touchZoom.enable(t),this._rotationDisabled||this._touchRotate.enable(t),this._tapDragZoom.enable(),this._el.classList.add("mapboxgl-touch-zoom-rotate")},wi.prototype.disable=function(){this._touchZoom.disable(),this._touchRotate.disable(),this._tapDragZoom.disable(),this._el.classList.remove("mapboxgl-touch-zoom-rotate")},wi.prototype.isEnabled=function(){return this._touchZoom.isEnabled()&&(this._rotationDisabled||this._touchRotate.isEnabled())&&this._tapDragZoom.isEnabled()},wi.prototype.isActive=function(){return this._touchZoom.isActive()||this._touchRotate.isActive()||this._tapDragZoom.isActive()},wi.prototype.disableRotation=function(){this._rotationDisabled=!0,this._touchRotate.disable()},wi.prototype.enableRotation=function(){this._rotationDisabled=!1,this._touchZoom.isEnabled()&&this._touchRotate.enable()};var Ti=function(t){return t.zoom||t.drag||t.pitch||t.rotate},ki=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e}(t.Event);function Ai(t){return t.panDelta&&t.panDelta.mag()||t.zoomDelta||t.bearingDelta||t.pitchDelta}var Mi=function(e,n){this._map=e,this._el=this._map.getCanvasContainer(),this._handlers=[],this._handlersById={},this._changes=[],this._inertia=new Nn(e),this._bearingSnap=n.bearingSnap,this._previousActiveHandlers={},this._eventsInProgress={},this._addDefaultHandlers(n),t.bindAll(["handleEvent","handleWindowEvent"],this);var i=this._el;this._listeners=[[i,"touchstart",{passive:!0}],[i,"touchmove",{passive:!1}],[i,"touchend",void 0],[i,"touchcancel",void 0],[i,"mousedown",void 0],[i,"mousemove",void 0],[i,"mouseup",void 0],[t.window.document,"mousemove",{capture:!0}],[t.window.document,"mouseup",void 0],[i,"mouseover",void 0],[i,"mouseout",void 0],[i,"dblclick",void 0],[i,"click",void 0],[i,"keydown",{capture:!1}],[i,"keyup",void 0],[i,"wheel",{passive:!1}],[i,"contextmenu",void 0],[t.window,"blur",void 0]];for(var a=0,o=this._listeners;aa?Math.min(2,_):Math.max(.5,_),w=Math.pow(g,1-e),T=i.unproject(x.add(b.mult(e*w)).mult(v));i.setLocationAtPoint(i.renderWorldCopies?T.wrap():T,d)}n._fireMoveEvents(r)}),(function(t){n._afterEase(r,t)}),e),this},r.prototype._prepareEase=function(e,r,n){void 0===n&&(n={}),this._moving=!0,r||n.moving||this.fire(new t.Event("movestart",e)),this._zooming&&!n.zooming&&this.fire(new t.Event("zoomstart",e)),this._rotating&&!n.rotating&&this.fire(new t.Event("rotatestart",e)),this._pitching&&!n.pitching&&this.fire(new t.Event("pitchstart",e))},r.prototype._fireMoveEvents=function(e){this.fire(new t.Event("move",e)),this._zooming&&this.fire(new t.Event("zoom",e)),this._rotating&&this.fire(new t.Event("rotate",e)),this._pitching&&this.fire(new t.Event("pitch",e))},r.prototype._afterEase=function(e,r){if(!this._easeId||!r||this._easeId!==r){delete this._easeId;var n=this._zooming,i=this._rotating,a=this._pitching;this._moving=!1,this._zooming=!1,this._rotating=!1,this._pitching=!1,this._padding=!1,n&&this.fire(new t.Event("zoomend",e)),i&&this.fire(new t.Event("rotateend",e)),a&&this.fire(new t.Event("pitchend",e)),this.fire(new t.Event("moveend",e))}},r.prototype.flyTo=function(e,r){var n=this;if(!e.essential&&t.browser.prefersReducedMotion){var i=t.pick(e,["center","zoom","bearing","pitch","around"]);return this.jumpTo(i,r)}this.stop(),e=t.extend({offset:[0,0],speed:1.2,curve:1.42,easing:t.ease},e);var a=this.transform,o=this.getZoom(),s=this.getBearing(),l=this.getPitch(),u=this.getPadding(),c="zoom"in e?t.clamp(+e.zoom,a.minZoom,a.maxZoom):o,f="bearing"in e?this._normalizeBearing(e.bearing,s):s,h="pitch"in e?+e.pitch:l,p="padding"in e?e.padding:a.padding,d=a.zoomScale(c-o),v=t.Point.convert(e.offset),g=a.centerPoint.add(v),y=a.pointLocation(g),m=t.LngLat.convert(e.center||y);this._normalizeCenter(m);var x=a.project(y),b=a.project(m).sub(x),_=e.curve,w=Math.max(a.width,a.height),T=w/d,k=b.mag();if("minZoom"in e){var A=t.clamp(Math.min(e.minZoom,o,c),a.minZoom,a.maxZoom),M=w/a.zoomScale(A-o);_=Math.sqrt(M/k*2)}var S=_*_;function E(t){var e=(T*T-w*w+(t?-1:1)*S*S*k*k)/(2*(t?T:w)*S*k);return Math.log(Math.sqrt(e*e+1)-e)}function L(t){return(Math.exp(t)-Math.exp(-t))/2}function C(t){return(Math.exp(t)+Math.exp(-t))/2}var P=E(0),O=function(t){return C(P)/C(P+_*t)},I=function(t){return w*((C(P)*(L(e=P+_*t)/C(e))-L(P))/S)/k;var e},D=(E(1)-P)/_;if(Math.abs(k)<1e-6||!isFinite(D)){if(Math.abs(w-T)<1e-6)return this.easeTo(e,r);var z=Te.maxDuration&&(e.duration=0),this._zooming=!0,this._rotating=s!==f,this._pitching=h!==l,this._padding=!a.isPaddingEqual(p),this._prepareEase(r,!1),this._ease((function(e){var i=e*D,d=1/O(i);a.zoom=1===e?c:o+a.scaleZoom(d),n._rotating&&(a.bearing=t.number(s,f,e)),n._pitching&&(a.pitch=t.number(l,h,e)),n._padding&&(a.interpolatePadding(u,p,e),g=a.centerPoint.add(v));var y=1===e?m:a.unproject(x.add(b.mult(I(i))).mult(d));a.setLocationAtPoint(a.renderWorldCopies?y.wrap():y,g),n._fireMoveEvents(r)}),(function(){return n._afterEase(r)}),e),this},r.prototype.isEasing=function(){return!!this._easeFrameId},r.prototype.stop=function(){return this._stop()},r.prototype._stop=function(t,e){if(this._easeFrameId&&(this._cancelRenderFrame(this._easeFrameId),delete this._easeFrameId,delete this._onEaseFrame),this._onEaseEnd){var r=this._onEaseEnd;delete this._onEaseEnd,r.call(this,e)}if(!t){var n=this.handlers;n&&n.stop(!1)}return this},r.prototype._ease=function(e,r,n){!1===n.animate||0===n.duration?(e(1),r()):(this._easeStart=t.browser.now(),this._easeOptions=n,this._onEaseFrame=e,this._onEaseEnd=r,this._easeFrameId=this._requestRenderFrame(this._renderFrameCallback))},r.prototype._renderFrameCallback=function(){var e=Math.min((t.browser.now()-this._easeStart)/this._easeOptions.duration,1);this._onEaseFrame(this._easeOptions.easing(e)),e<1?this._easeFrameId=this._requestRenderFrame(this._renderFrameCallback):this.stop()},r.prototype._normalizeBearing=function(e,r){e=t.wrap(e,-180,180);var n=Math.abs(e-r);return Math.abs(e-360-r)180?-360:r<-180?360:0}},r}(t.Evented),Ei=function(e){void 0===e&&(e={}),this.options=e,t.bindAll(["_toggleAttribution","_updateEditLink","_updateData","_updateCompact"],this)};Ei.prototype.getDefaultPosition=function(){return"bottom-right"},Ei.prototype.onAdd=function(t){var e=this.options&&this.options.compact;return this._map=t,this._container=r.create("div","mapboxgl-ctrl mapboxgl-ctrl-attrib"),this._compactButton=r.create("button","mapboxgl-ctrl-attrib-button",this._container),this._compactButton.addEventListener("click",this._toggleAttribution),this._setElementTitle(this._compactButton,"ToggleAttribution"),this._innerContainer=r.create("div","mapboxgl-ctrl-attrib-inner",this._container),this._innerContainer.setAttribute("role","list"),e&&this._container.classList.add("mapboxgl-compact"),this._updateAttributions(),this._updateEditLink(),this._map.on("styledata",this._updateData),this._map.on("sourcedata",this._updateData),this._map.on("moveend",this._updateEditLink),void 0===e&&(this._map.on("resize",this._updateCompact),this._updateCompact()),this._container},Ei.prototype.onRemove=function(){r.remove(this._container),this._map.off("styledata",this._updateData),this._map.off("sourcedata",this._updateData),this._map.off("moveend",this._updateEditLink),this._map.off("resize",this._updateCompact),this._map=void 0,this._attribHTML=void 0},Ei.prototype._setElementTitle=function(t,e){var r=this._map._getUIString("AttributionControl."+e);t.title=r,t.setAttribute("aria-label",r)},Ei.prototype._toggleAttribution=function(){this._container.classList.contains("mapboxgl-compact-show")?(this._container.classList.remove("mapboxgl-compact-show"),this._compactButton.setAttribute("aria-pressed","false")):(this._container.classList.add("mapboxgl-compact-show"),this._compactButton.setAttribute("aria-pressed","true"))},Ei.prototype._updateEditLink=function(){var e=this._editLink;e||(e=this._editLink=this._container.querySelector(".mapbox-improve-map"));var r=[{key:"owner",value:this.styleOwner},{key:"id",value:this.styleId},{key:"access_token",value:this._map._requestManager._customAccessToken||t.config.ACCESS_TOKEN}];if(e){var n=r.reduce((function(t,e,n){return e.value&&(t+=e.key+"="+e.value+(n=0)return!1;return!0}))).join(" | ");o!==this._attribHTML&&(this._attribHTML=o,t.length?(this._innerContainer.innerHTML=o,this._container.classList.remove("mapboxgl-attrib-empty")):this._container.classList.add("mapboxgl-attrib-empty"),this._editLink=null)}},Ei.prototype._updateCompact=function(){this._map.getCanvasContainer().offsetWidth<=640?this._container.classList.add("mapboxgl-compact"):this._container.classList.remove("mapboxgl-compact","mapboxgl-compact-show")};var Li=function(){t.bindAll(["_updateLogo"],this),t.bindAll(["_updateCompact"],this)};Li.prototype.onAdd=function(t){this._map=t,this._container=r.create("div","mapboxgl-ctrl");var e=r.create("a","mapboxgl-ctrl-logo");return e.target="_blank",e.rel="noopener nofollow",e.href="https://www.mapbox.com/",e.setAttribute("aria-label",this._map._getUIString("LogoControl.Title")),e.setAttribute("rel","noopener nofollow"),this._container.appendChild(e),this._container.style.display="none",this._map.on("sourcedata",this._updateLogo),this._updateLogo(),this._map.on("resize",this._updateCompact),this._updateCompact(),this._container},Li.prototype.onRemove=function(){r.remove(this._container),this._map.off("sourcedata",this._updateLogo),this._map.off("resize",this._updateCompact)},Li.prototype.getDefaultPosition=function(){return"bottom-left"},Li.prototype._updateLogo=function(t){t&&"metadata"!==t.sourceDataType||(this._container.style.display=this._logoRequired()?"block":"none")},Li.prototype._logoRequired=function(){if(this._map.style){var t=this._map.style.sourceCaches;for(var e in t)if(t[e].getSource().mapbox_logo)return!0;return!1}},Li.prototype._updateCompact=function(){var t=this._container.children;if(t.length){var e=t[0];this._map.getCanvasContainer().offsetWidth<250?e.classList.add("mapboxgl-compact"):e.classList.remove("mapboxgl-compact")}};var Ci=function(){this._queue=[],this._id=0,this._cleared=!1,this._currentlyRunning=!1};Ci.prototype.add=function(t){var e=++this._id;return this._queue.push({callback:t,id:e,cancelled:!1}),e},Ci.prototype.remove=function(t){for(var e=this._currentlyRunning,r=0,n=e?this._queue.concat(e):this._queue;re.maxZoom)throw new Error("maxZoom must be greater than or equal to minZoom");if(null!=e.minPitch&&null!=e.maxPitch&&e.minPitch>e.maxPitch)throw new Error("maxPitch must be greater than or equal to minPitch");if(null!=e.minPitch&&e.minPitch<0)throw new Error("minPitch must be greater than or equal to 0");if(null!=e.maxPitch&&e.maxPitch>zi)throw new Error("maxPitch must be less than or equal to 60");var i=new Pn(e.minZoom,e.maxZoom,e.minPitch,e.maxPitch,e.renderWorldCopies);if(n.call(this,i,e),this._interactive=e.interactive,this._maxTileCacheSize=e.maxTileCacheSize,this._failIfMajorPerformanceCaveat=e.failIfMajorPerformanceCaveat,this._preserveDrawingBuffer=e.preserveDrawingBuffer,this._antialias=e.antialias,this._trackResize=e.trackResize,this._bearingSnap=e.bearingSnap,this._refreshExpiredTiles=e.refreshExpiredTiles,this._fadeDuration=e.fadeDuration,this._crossSourceCollisions=e.crossSourceCollisions,this._crossFadingFactor=1,this._collectResourceTiming=e.collectResourceTiming,this._renderTaskQueue=new Ci,this._controls=[],this._mapId=t.uniqueId(),this._locale=t.extend({},Pi,e.locale),this._clickTolerance=e.clickTolerance,this._requestManager=new t.RequestManager(e.transformRequest,e.accessToken),"string"==typeof e.container){if(this._container=t.window.document.getElementById(e.container),!this._container)throw new Error("Container '"+e.container+"' not found.")}else{if(!(e.container instanceof Ii))throw new Error("Invalid type: 'container' must be a String or HTMLElement.");this._container=e.container}if(e.maxBounds&&this.setMaxBounds(e.maxBounds),t.bindAll(["_onWindowOnline","_onWindowResize","_onMapScroll","_contextLost","_contextRestored"],this),this._setupContainer(),this._setupPainter(),void 0===this.painter)throw new Error("Failed to initialize WebGL.");this.on("move",(function(){return r._update(!1)})),this.on("moveend",(function(){return r._update(!1)})),this.on("zoom",(function(){return r._update(!0)})),void 0!==t.window&&(t.window.addEventListener("online",this._onWindowOnline,!1),t.window.addEventListener("resize",this._onWindowResize,!1),t.window.addEventListener("orientationchange",this._onWindowResize,!1)),this.handlers=new Mi(this,e);var a="string"==typeof e.hash&&e.hash||void 0;this._hash=e.hash&&new In(a).addTo(this),this._hash&&this._hash._onHashChange()||(this.jumpTo({center:e.center,zoom:e.zoom,bearing:e.bearing,pitch:e.pitch}),e.bounds&&(this.resize(),this.fitBounds(e.bounds,t.extend({},e.fitBoundsOptions,{duration:0})))),this.resize(),this._localIdeographFontFamily=e.localIdeographFontFamily,e.style&&this.setStyle(e.style,{localIdeographFontFamily:e.localIdeographFontFamily}),e.attributionControl&&this.addControl(new Ei({customAttribution:e.customAttribution})),this.addControl(new Li,e.logoPosition),this.on("style.load",(function(){r.transform.unmodified&&r.jumpTo(r.style.stylesheet)})),this.on("data",(function(e){r._update("style"===e.dataType),r.fire(new t.Event(e.dataType+"data",e))})),this.on("dataloading",(function(e){r.fire(new t.Event(e.dataType+"dataloading",e))}))}n&&(i.__proto__=n),i.prototype=Object.create(n&&n.prototype),i.prototype.constructor=i;var a={showTileBoundaries:{configurable:!0},showPadding:{configurable:!0},showCollisionBoxes:{configurable:!0},showOverdrawInspector:{configurable:!0},repaint:{configurable:!0},vertices:{configurable:!0},version:{configurable:!0}};return i.prototype._getMapId=function(){return this._mapId},i.prototype.addControl=function(e,r){if(void 0===r&&(r=e.getDefaultPosition?e.getDefaultPosition():"top-right"),!e||!e.onAdd)return this.fire(new t.ErrorEvent(new Error("Invalid argument to map.addControl(). Argument must be a control with onAdd and onRemove methods.")));var n=e.onAdd(this);this._controls.push(e);var i=this._controlPositions[r];return-1!==r.indexOf("bottom")?i.insertBefore(n,i.firstChild):i.appendChild(n),this},i.prototype.removeControl=function(e){if(!e||!e.onRemove)return this.fire(new t.ErrorEvent(new Error("Invalid argument to map.removeControl(). Argument must be a control with onAdd and onRemove methods.")));var r=this._controls.indexOf(e);return r>-1&&this._controls.splice(r,1),e.onRemove(this),this},i.prototype.hasControl=function(t){return this._controls.indexOf(t)>-1},i.prototype.resize=function(e){var r=this._containerDimensions(),n=r[0],i=r[1];this._resizeCanvas(n,i),this.transform.resize(n,i),this.painter.resize(n,i);var a=!this._moving;return a&&(this.stop(),this.fire(new t.Event("movestart",e)).fire(new t.Event("move",e))),this.fire(new t.Event("resize",e)),a&&this.fire(new t.Event("moveend",e)),this},i.prototype.getBounds=function(){return this.transform.getBounds()},i.prototype.getMaxBounds=function(){return this.transform.getMaxBounds()},i.prototype.setMaxBounds=function(e){return this.transform.setMaxBounds(t.LngLatBounds.convert(e)),this._update()},i.prototype.setMinZoom=function(t){if((t=null==t?-2:t)>=-2&&t<=this.transform.maxZoom)return this.transform.minZoom=t,this._update(),this.getZoom()=this.transform.minZoom)return this.transform.maxZoom=t,this._update(),this.getZoom()>t&&this.setZoom(t),this;throw new Error("maxZoom must be greater than the current minZoom")},i.prototype.getMaxZoom=function(){return this.transform.maxZoom},i.prototype.setMinPitch=function(t){if((t=null==t?0:t)<0)throw new Error("minPitch must be greater than or equal to 0");if(t>=0&&t<=this.transform.maxPitch)return this.transform.minPitch=t,this._update(),this.getPitch()zi)throw new Error("maxPitch must be less than or equal to 60");if(t>=this.transform.minPitch)return this.transform.maxPitch=t,this._update(),this.getPitch()>t&&this.setPitch(t),this;throw new Error("maxPitch must be greater than the current minPitch")},i.prototype.getMaxPitch=function(){return this.transform.maxPitch},i.prototype.getRenderWorldCopies=function(){return this.transform.renderWorldCopies},i.prototype.setRenderWorldCopies=function(t){return this.transform.renderWorldCopies=t,this._update()},i.prototype.project=function(e){return this.transform.locationPoint(t.LngLat.convert(e))},i.prototype.unproject=function(e){return this.transform.pointLocation(t.Point.convert(e))},i.prototype.isMoving=function(){return this._moving||this.handlers.isMoving()},i.prototype.isZooming=function(){return this._zooming||this.handlers.isZooming()},i.prototype.isRotating=function(){return this._rotating||this.handlers.isRotating()},i.prototype._createDelegatedListener=function(t,e,r){var n,i=this;if("mouseenter"===t||"mouseover"===t){var a=!1;return{layer:e,listener:r,delegates:{mousemove:function(n){var o=i.getLayer(e)?i.queryRenderedFeatures(n.point,{layers:[e]}):[];o.length?a||(a=!0,r.call(i,new Vn(t,i,n.originalEvent,{features:o}))):a=!1},mouseout:function(){a=!1}}}}if("mouseleave"===t||"mouseout"===t){var o=!1;return{layer:e,listener:r,delegates:{mousemove:function(n){(i.getLayer(e)?i.queryRenderedFeatures(n.point,{layers:[e]}):[]).length?o=!0:o&&(o=!1,r.call(i,new Vn(t,i,n.originalEvent)))},mouseout:function(e){o&&(o=!1,r.call(i,new Vn(t,i,e.originalEvent)))}}}}return{layer:e,listener:r,delegates:(n={},n[t]=function(t){var n=i.getLayer(e)?i.queryRenderedFeatures(t.point,{layers:[e]}):[];n.length&&(t.features=n,r.call(i,t),delete t.features)},n)}},i.prototype.on=function(t,e,r){if(void 0===r)return n.prototype.on.call(this,t,e);var i=this._createDelegatedListener(t,e,r);for(var a in this._delegatedListeners=this._delegatedListeners||{},this._delegatedListeners[t]=this._delegatedListeners[t]||[],this._delegatedListeners[t].push(i),i.delegates)this.on(a,i.delegates[a]);return this},i.prototype.once=function(t,e,r){if(void 0===r)return n.prototype.once.call(this,t,e);var i=this._createDelegatedListener(t,e,r);for(var a in i.delegates)this.once(a,i.delegates[a]);return this},i.prototype.off=function(t,e,r){var i=this;if(void 0===r)return n.prototype.off.call(this,t,e);return this._delegatedListeners&&this._delegatedListeners[t]&&function(n){for(var a=n[t],o=0;o180;){var s=n.locationPoint(e);if(s.x>=0&&s.y>=0&&s.x<=n.width&&s.y<=n.height)break;e.lng>n.center.lng?e.lng-=360:e.lng+=360}return e}Ui.prototype.down=function(t,e){this.mouseRotate.mousedown(t,e),this.mousePitch&&this.mousePitch.mousedown(t,e),r.disableDrag()},Ui.prototype.move=function(t,e){var r=this.map,n=this.mouseRotate.mousemoveWindow(t,e);if(n&&n.bearingDelta&&r.setBearing(r.getBearing()+n.bearingDelta),this.mousePitch){var i=this.mousePitch.mousemoveWindow(t,e);i&&i.pitchDelta&&r.setPitch(r.getPitch()+i.pitchDelta)}},Ui.prototype.off=function(){var t=this.element;r.removeEventListener(t,"mousedown",this.mousedown),r.removeEventListener(t,"touchstart",this.touchstart,{passive:!1}),r.removeEventListener(t,"touchmove",this.touchmove),r.removeEventListener(t,"touchend",this.touchend),r.removeEventListener(t,"touchcancel",this.reset),this.offTemp()},Ui.prototype.offTemp=function(){r.enableDrag(),r.removeEventListener(t.window,"mousemove",this.mousemove),r.removeEventListener(t.window,"mouseup",this.mouseup)},Ui.prototype.mousedown=function(e){this.down(t.extend({},e,{ctrlKey:!0,preventDefault:function(){return e.preventDefault()}}),r.mousePos(this.element,e)),r.addEventListener(t.window,"mousemove",this.mousemove),r.addEventListener(t.window,"mouseup",this.mouseup)},Ui.prototype.mousemove=function(t){this.move(t,r.mousePos(this.element,t))},Ui.prototype.mouseup=function(t){this.mouseRotate.mouseupWindow(t),this.mousePitch&&this.mousePitch.mouseupWindow(t),this.offTemp()},Ui.prototype.touchstart=function(t){1!==t.targetTouches.length?this.reset():(this._startPos=this._lastPos=r.touchPos(this.element,t.targetTouches)[0],this.down({type:"mousedown",button:0,ctrlKey:!0,preventDefault:function(){return t.preventDefault()}},this._startPos))},Ui.prototype.touchmove=function(t){1!==t.targetTouches.length?this.reset():(this._lastPos=r.touchPos(this.element,t.targetTouches)[0],this.move({preventDefault:function(){return t.preventDefault()}},this._lastPos))},Ui.prototype.touchend=function(t){0===t.targetTouches.length&&this._startPos&&this._lastPos&&this._startPos.dist(this._lastPos)=r}this._isDragging&&(this._pos=e.point.sub(this._positionDelta),this._lngLat=this._map.unproject(this._pos),this.setLngLat(this._lngLat),this._element.style.pointerEvents="none","pending"===this._state&&(this._state="active",this.fire(new t.Event("dragstart"))),this.fire(new t.Event("drag")))},n.prototype._onUp=function(){this._element.style.pointerEvents="auto",this._positionDelta=null,this._pointerdownPos=null,this._isDragging=!1,this._map.off("mousemove",this._onMove),this._map.off("touchmove",this._onMove),"active"===this._state&&this.fire(new t.Event("dragend")),this._state="inactive"},n.prototype._addDragHandler=function(t){this._element.contains(t.originalEvent.target)&&(t.preventDefault(),this._positionDelta=t.point.sub(this._pos).add(this._offset),this._pointerdownPos=t.point,this._state="pending",this._map.on("mousemove",this._onMove),this._map.on("touchmove",this._onMove),this._map.once("mouseup",this._onUp),this._map.once("touchend",this._onUp))},n.prototype.setDraggable=function(t){return this._draggable=!!t,this._map&&(t?(this._map.on("mousedown",this._addDragHandler),this._map.on("touchstart",this._addDragHandler)):(this._map.off("mousedown",this._addDragHandler),this._map.off("touchstart",this._addDragHandler))),this},n.prototype.isDraggable=function(){return this._draggable},n.prototype.setRotation=function(t){return this._rotation=t||0,this._update(),this},n.prototype.getRotation=function(){return this._rotation},n.prototype.setRotationAlignment=function(t){return this._rotationAlignment=t||"auto",this._update(),this},n.prototype.getRotationAlignment=function(){return this._rotationAlignment},n.prototype.setPitchAlignment=function(t){return this._pitchAlignment=t&&"auto"!==t?t:this._rotationAlignment,this._update(),this},n.prototype.getPitchAlignment=function(){return this._pitchAlignment},n}(t.Evented),Yi={positionOptions:{enableHighAccuracy:!1,maximumAge:0,timeout:6e3},fitBoundsOptions:{maxZoom:15},trackUserLocation:!1,showAccuracyCircle:!0,showUserLocation:!0};var Xi=0,Zi=!1,Ki=function(e){function n(r){e.call(this),this.options=t.extend({},Yi,r),t.bindAll(["_onSuccess","_onError","_onZoom","_finish","_setupUI","_updateCamera","_updateMarker"],this)}return e&&(n.__proto__=e),n.prototype=Object.create(e&&e.prototype),n.prototype.constructor=n,n.prototype.onAdd=function(e){return this._map=e,this._container=r.create("div","mapboxgl-ctrl mapboxgl-ctrl-group"),n=this._setupUI,void 0!==Gi?n(Gi):void 0!==t.window.navigator.permissions?t.window.navigator.permissions.query({name:"geolocation"}).then((function(t){Gi="denied"!==t.state,n(Gi)})):(Gi=!!t.window.navigator.geolocation,n(Gi)),this._container;var n},n.prototype.onRemove=function(){void 0!==this._geolocationWatchID&&(t.window.navigator.geolocation.clearWatch(this._geolocationWatchID),this._geolocationWatchID=void 0),this.options.showUserLocation&&this._userLocationDotMarker&&this._userLocationDotMarker.remove(),this.options.showAccuracyCircle&&this._accuracyCircleMarker&&this._accuracyCircleMarker.remove(),r.remove(this._container),this._map.off("zoom",this._onZoom),this._map=void 0,Xi=0,Zi=!1},n.prototype._isOutOfMapMaxBounds=function(t){var e=this._map.getMaxBounds(),r=t.coords;return e&&(r.longitudee.getEast()||r.latitudee.getNorth())},n.prototype._setErrorState=function(){switch(this._watchState){case"WAITING_ACTIVE":this._watchState="ACTIVE_ERROR",this._geolocateButton.classList.remove("mapboxgl-ctrl-geolocate-active"),this._geolocateButton.classList.add("mapboxgl-ctrl-geolocate-active-error");break;case"ACTIVE_LOCK":this._watchState="ACTIVE_ERROR",this._geolocateButton.classList.remove("mapboxgl-ctrl-geolocate-active"),this._geolocateButton.classList.add("mapboxgl-ctrl-geolocate-active-error"),this._geolocateButton.classList.add("mapboxgl-ctrl-geolocate-waiting");break;case"BACKGROUND":this._watchState="BACKGROUND_ERROR",this._geolocateButton.classList.remove("mapboxgl-ctrl-geolocate-background"),this._geolocateButton.classList.add("mapboxgl-ctrl-geolocate-background-error"),this._geolocateButton.classList.add("mapboxgl-ctrl-geolocate-waiting")}},n.prototype._onSuccess=function(e){if(this._map){if(this._isOutOfMapMaxBounds(e))return this._setErrorState(),this.fire(new t.Event("outofmaxbounds",e)),this._updateMarker(),void this._finish();if(this.options.trackUserLocation)switch(this._lastKnownPosition=e,this._watchState){case"WAITING_ACTIVE":case"ACTIVE_LOCK":case"ACTIVE_ERROR":this._watchState="ACTIVE_LOCK",this._geolocateButton.classList.remove("mapboxgl-ctrl-geolocate-waiting"),this._geolocateButton.classList.remove("mapboxgl-ctrl-geolocate-active-error"),this._geolocateButton.classList.add("mapboxgl-ctrl-geolocate-active");break;case"BACKGROUND":case"BACKGROUND_ERROR":this._watchState="BACKGROUND",this._geolocateButton.classList.remove("mapboxgl-ctrl-geolocate-waiting"),this._geolocateButton.classList.remove("mapboxgl-ctrl-geolocate-background-error"),this._geolocateButton.classList.add("mapboxgl-ctrl-geolocate-background")}this.options.showUserLocation&&"OFF"!==this._watchState&&this._updateMarker(e),this.options.trackUserLocation&&"ACTIVE_LOCK"!==this._watchState||this._updateCamera(e),this.options.showUserLocation&&this._dotElement.classList.remove("mapboxgl-user-location-dot-stale"),this.fire(new t.Event("geolocate",e)),this._finish()}},n.prototype._updateCamera=function(e){var r=new t.LngLat(e.coords.longitude,e.coords.latitude),n=e.coords.accuracy,i=this._map.getBearing(),a=t.extend({bearing:i},this.options.fitBoundsOptions);this._map.fitBounds(r.toBounds(n),a,{geolocateSource:!0})},n.prototype._updateMarker=function(e){if(e){var r=new t.LngLat(e.coords.longitude,e.coords.latitude);this._accuracyCircleMarker.setLngLat(r).addTo(this._map),this._userLocationDotMarker.setLngLat(r).addTo(this._map),this._accuracy=e.coords.accuracy,this.options.showUserLocation&&this.options.showAccuracyCircle&&this._updateCircleRadius()}else this._userLocationDotMarker.remove(),this._accuracyCircleMarker.remove()},n.prototype._updateCircleRadius=function(){var t=this._map._container.clientHeight/2,e=this._map.unproject([0,t]),r=this._map.unproject([1,t]),n=e.distanceTo(r),i=Math.ceil(2*this._accuracy/n);this._circleElement.style.width=i+"px",this._circleElement.style.height=i+"px"},n.prototype._onZoom=function(){this.options.showUserLocation&&this.options.showAccuracyCircle&&this._updateCircleRadius()},n.prototype._onError=function(e){if(this._map){if(this.options.trackUserLocation)if(1===e.code){this._watchState="OFF",this._geolocateButton.classList.remove("mapboxgl-ctrl-geolocate-waiting"),this._geolocateButton.classList.remove("mapboxgl-ctrl-geolocate-active"),this._geolocateButton.classList.remove("mapboxgl-ctrl-geolocate-active-error"),this._geolocateButton.classList.remove("mapboxgl-ctrl-geolocate-background"),this._geolocateButton.classList.remove("mapboxgl-ctrl-geolocate-background-error"),this._geolocateButton.disabled=!0;var r=this._map._getUIString("GeolocateControl.LocationNotAvailable");this._geolocateButton.title=r,this._geolocateButton.setAttribute("aria-label",r),void 0!==this._geolocationWatchID&&this._clearWatch()}else{if(3===e.code&&Zi)return;this._setErrorState()}"OFF"!==this._watchState&&this.options.showUserLocation&&this._dotElement.classList.add("mapboxgl-user-location-dot-stale"),this.fire(new t.Event("error",e)),this._finish()}},n.prototype._finish=function(){this._timeoutId&&clearTimeout(this._timeoutId),this._timeoutId=void 0},n.prototype._setupUI=function(e){var n=this;if(this._container.addEventListener("contextmenu",(function(t){return t.preventDefault()})),this._geolocateButton=r.create("button","mapboxgl-ctrl-geolocate",this._container),r.create("span","mapboxgl-ctrl-icon",this._geolocateButton).setAttribute("aria-hidden",!0),this._geolocateButton.type="button",!1===e){t.warnOnce("Geolocation support is not available so the GeolocateControl will be disabled.");var i=this._map._getUIString("GeolocateControl.LocationNotAvailable");this._geolocateButton.disabled=!0,this._geolocateButton.title=i,this._geolocateButton.setAttribute("aria-label",i)}else{var a=this._map._getUIString("GeolocateControl.FindMyLocation");this._geolocateButton.title=a,this._geolocateButton.setAttribute("aria-label",a)}this.options.trackUserLocation&&(this._geolocateButton.setAttribute("aria-pressed","false"),this._watchState="OFF"),this.options.showUserLocation&&(this._dotElement=r.create("div","mapboxgl-user-location-dot"),this._userLocationDotMarker=new Wi(this._dotElement),this._circleElement=r.create("div","mapboxgl-user-location-accuracy-circle"),this._accuracyCircleMarker=new Wi({element:this._circleElement,pitchAlignment:"map"}),this.options.trackUserLocation&&(this._watchState="OFF"),this._map.on("zoom",this._onZoom)),this._geolocateButton.addEventListener("click",this.trigger.bind(this)),this._setup=!0,this.options.trackUserLocation&&this._map.on("movestart",(function(e){var r=e.originalEvent&&"resize"===e.originalEvent.type;e.geolocateSource||"ACTIVE_LOCK"!==n._watchState||r||(n._watchState="BACKGROUND",n._geolocateButton.classList.add("mapboxgl-ctrl-geolocate-background"),n._geolocateButton.classList.remove("mapboxgl-ctrl-geolocate-active"),n.fire(new t.Event("trackuserlocationend")))}))},n.prototype.trigger=function(){if(!this._setup)return t.warnOnce("Geolocate control triggered before added to a map"),!1;if(this.options.trackUserLocation){switch(this._watchState){case"OFF":this._watchState="WAITING_ACTIVE",this.fire(new t.Event("trackuserlocationstart"));break;case"WAITING_ACTIVE":case"ACTIVE_LOCK":case"ACTIVE_ERROR":case"BACKGROUND_ERROR":Xi--,Zi=!1,this._watchState="OFF",this._geolocateButton.classList.remove("mapboxgl-ctrl-geolocate-waiting"),this._geolocateButton.classList.remove("mapboxgl-ctrl-geolocate-active"),this._geolocateButton.classList.remove("mapboxgl-ctrl-geolocate-active-error"),this._geolocateButton.classList.remove("mapboxgl-ctrl-geolocate-background"),this._geolocateButton.classList.remove("mapboxgl-ctrl-geolocate-background-error"),this.fire(new t.Event("trackuserlocationend"));break;case"BACKGROUND":this._watchState="ACTIVE_LOCK",this._geolocateButton.classList.remove("mapboxgl-ctrl-geolocate-background"),this._lastKnownPosition&&this._updateCamera(this._lastKnownPosition),this.fire(new t.Event("trackuserlocationstart"))}switch(this._watchState){case"WAITING_ACTIVE":this._geolocateButton.classList.add("mapboxgl-ctrl-geolocate-waiting"),this._geolocateButton.classList.add("mapboxgl-ctrl-geolocate-active");break;case"ACTIVE_LOCK":this._geolocateButton.classList.add("mapboxgl-ctrl-geolocate-active");break;case"ACTIVE_ERROR":this._geolocateButton.classList.add("mapboxgl-ctrl-geolocate-waiting"),this._geolocateButton.classList.add("mapboxgl-ctrl-geolocate-active-error");break;case"BACKGROUND":this._geolocateButton.classList.add("mapboxgl-ctrl-geolocate-background");break;case"BACKGROUND_ERROR":this._geolocateButton.classList.add("mapboxgl-ctrl-geolocate-waiting"),this._geolocateButton.classList.add("mapboxgl-ctrl-geolocate-background-error")}if("OFF"===this._watchState&&void 0!==this._geolocationWatchID)this._clearWatch();else if(void 0===this._geolocationWatchID){var e;this._geolocateButton.classList.add("mapboxgl-ctrl-geolocate-waiting"),this._geolocateButton.setAttribute("aria-pressed","true"),++Xi>1?(e={maximumAge:6e5,timeout:0},Zi=!0):(e=this.options.positionOptions,Zi=!1),this._geolocationWatchID=t.window.navigator.geolocation.watchPosition(this._onSuccess,this._onError,e)}}else t.window.navigator.geolocation.getCurrentPosition(this._onSuccess,this._onError,this.options.positionOptions),this._timeoutId=setTimeout(this._finish,1e4);return!0},n.prototype._clearWatch=function(){t.window.navigator.geolocation.clearWatch(this._geolocationWatchID),this._geolocationWatchID=void 0,this._geolocateButton.classList.remove("mapboxgl-ctrl-geolocate-waiting"),this._geolocateButton.setAttribute("aria-pressed","false"),this.options.showUserLocation&&this._updateMarker(null)},n}(t.Evented),Ji={maxWidth:100,unit:"metric"},$i=function(e){this.options=t.extend({},Ji,e),t.bindAll(["_onMove","setUnit"],this)};function Qi(t,e,r){var n=r&&r.maxWidth||100,i=t._container.clientHeight/2,a=t.unproject([0,i]),o=t.unproject([n,i]),s=a.distanceTo(o);if(r&&"imperial"===r.unit){var l=3.2808*s;l>5280?ta(e,n,l/5280,t._getUIString("ScaleControl.Miles")):ta(e,n,l,t._getUIString("ScaleControl.Feet"))}else r&&"nautical"===r.unit?ta(e,n,s/1852,t._getUIString("ScaleControl.NauticalMiles")):s>=1e3?ta(e,n,s/1e3,t._getUIString("ScaleControl.Kilometers")):ta(e,n,s,t._getUIString("ScaleControl.Meters"))}function ta(t,e,r,n){var i,a,o,s=(i=r,(a=Math.pow(10,(""+Math.floor(i)).length-1))*((o=i/a)>=10?10:o>=5?5:o>=3?3:o>=2?2:o>=1?1:function(t){var e=Math.pow(10,Math.ceil(-Math.log(t)/Math.LN10));return Math.round(t*e)/e}(o))),l=s/r;t.style.width=e*l+"px",t.innerHTML=s+" "+n}$i.prototype.getDefaultPosition=function(){return"bottom-left"},$i.prototype._onMove=function(){Qi(this._map,this._container,this.options)},$i.prototype.onAdd=function(t){return this._map=t,this._container=r.create("div","mapboxgl-ctrl mapboxgl-ctrl-scale",t.getContainer()),this._map.on("move",this._onMove),this._onMove(),this._container},$i.prototype.onRemove=function(){r.remove(this._container),this._map.off("move",this._onMove),this._map=void 0},$i.prototype.setUnit=function(t){this.options.unit=t,Qi(this._map,this._container,this.options)};var ea=function(e){this._fullscreen=!1,e&&e.container&&(e.container instanceof t.window.HTMLElement?this._container=e.container:t.warnOnce("Full screen control 'container' must be a DOM element.")),t.bindAll(["_onClickFullscreen","_changeIcon"],this),"onfullscreenchange"in t.window.document?this._fullscreenchange="fullscreenchange":"onmozfullscreenchange"in t.window.document?this._fullscreenchange="mozfullscreenchange":"onwebkitfullscreenchange"in t.window.document?this._fullscreenchange="webkitfullscreenchange":"onmsfullscreenchange"in t.window.document&&(this._fullscreenchange="MSFullscreenChange")};ea.prototype.onAdd=function(e){return this._map=e,this._container||(this._container=this._map.getContainer()),this._controlContainer=r.create("div","mapboxgl-ctrl mapboxgl-ctrl-group"),this._checkFullscreenSupport()?this._setupUI():(this._controlContainer.style.display="none",t.warnOnce("This device does not support fullscreen mode.")),this._controlContainer},ea.prototype.onRemove=function(){r.remove(this._controlContainer),this._map=null,t.window.document.removeEventListener(this._fullscreenchange,this._changeIcon)},ea.prototype._checkFullscreenSupport=function(){return!!(t.window.document.fullscreenEnabled||t.window.document.mozFullScreenEnabled||t.window.document.msFullscreenEnabled||t.window.document.webkitFullscreenEnabled)},ea.prototype._setupUI=function(){var e=this._fullscreenButton=r.create("button","mapboxgl-ctrl-fullscreen",this._controlContainer);r.create("span","mapboxgl-ctrl-icon",e).setAttribute("aria-hidden",!0),e.type="button",this._updateTitle(),this._fullscreenButton.addEventListener("click",this._onClickFullscreen),t.window.document.addEventListener(this._fullscreenchange,this._changeIcon)},ea.prototype._updateTitle=function(){var t=this._getTitle();this._fullscreenButton.setAttribute("aria-label",t),this._fullscreenButton.title=t},ea.prototype._getTitle=function(){return this._map._getUIString(this._isFullscreen()?"FullscreenControl.Exit":"FullscreenControl.Enter")},ea.prototype._isFullscreen=function(){return this._fullscreen},ea.prototype._changeIcon=function(){(t.window.document.fullscreenElement||t.window.document.mozFullScreenElement||t.window.document.webkitFullscreenElement||t.window.document.msFullscreenElement)===this._container!==this._fullscreen&&(this._fullscreen=!this._fullscreen,this._fullscreenButton.classList.toggle("mapboxgl-ctrl-shrink"),this._fullscreenButton.classList.toggle("mapboxgl-ctrl-fullscreen"),this._updateTitle())},ea.prototype._onClickFullscreen=function(){this._isFullscreen()?t.window.document.exitFullscreen?t.window.document.exitFullscreen():t.window.document.mozCancelFullScreen?t.window.document.mozCancelFullScreen():t.window.document.msExitFullscreen?t.window.document.msExitFullscreen():t.window.document.webkitCancelFullScreen&&t.window.document.webkitCancelFullScreen():this._container.requestFullscreen?this._container.requestFullscreen():this._container.mozRequestFullScreen?this._container.mozRequestFullScreen():this._container.msRequestFullscreen?this._container.msRequestFullscreen():this._container.webkitRequestFullscreen&&this._container.webkitRequestFullscreen()};var ra={closeButton:!0,closeOnClick:!0,focusAfterOpen:!0,className:"",maxWidth:"240px"},na=["a[href]","[tabindex]:not([tabindex='-1'])","[contenteditable]:not([contenteditable='false'])","button:not([disabled])","input:not([disabled])","select:not([disabled])","textarea:not([disabled])"].join(", "),ia=function(e){function n(r){e.call(this),this.options=t.extend(Object.create(ra),r),t.bindAll(["_update","_onClose","remove","_onMouseMove","_onMouseUp","_onDrag"],this)}return e&&(n.__proto__=e),n.prototype=Object.create(e&&e.prototype),n.prototype.constructor=n,n.prototype.addTo=function(e){return this._map&&this.remove(),this._map=e,this.options.closeOnClick&&this._map.on("click",this._onClose),this.options.closeOnMove&&this._map.on("move",this._onClose),this._map.on("remove",this.remove),this._update(),this._focusFirstElement(),this._trackPointer?(this._map.on("mousemove",this._onMouseMove),this._map.on("mouseup",this._onMouseUp),this._container&&this._container.classList.add("mapboxgl-popup-track-pointer"),this._map._canvasContainer.classList.add("mapboxgl-track-pointer")):this._map.on("move",this._update),this.fire(new t.Event("open")),this},n.prototype.isOpen=function(){return!!this._map},n.prototype.remove=function(){return this._content&&r.remove(this._content),this._container&&(r.remove(this._container),delete this._container),this._map&&(this._map.off("move",this._update),this._map.off("move",this._onClose),this._map.off("click",this._onClose),this._map.off("remove",this.remove),this._map.off("mousemove",this._onMouseMove),this._map.off("mouseup",this._onMouseUp),this._map.off("drag",this._onDrag),delete this._map),this.fire(new t.Event("close")),this},n.prototype.getLngLat=function(){return this._lngLat},n.prototype.setLngLat=function(e){return this._lngLat=t.LngLat.convert(e),this._pos=null,this._trackPointer=!1,this._update(),this._map&&(this._map.on("move",this._update),this._map.off("mousemove",this._onMouseMove),this._container&&this._container.classList.remove("mapboxgl-popup-track-pointer"),this._map._canvasContainer.classList.remove("mapboxgl-track-pointer")),this},n.prototype.trackPointer=function(){return this._trackPointer=!0,this._pos=null,this._update(),this._map&&(this._map.off("move",this._update),this._map.on("mousemove",this._onMouseMove),this._map.on("drag",this._onDrag),this._container&&this._container.classList.add("mapboxgl-popup-track-pointer"),this._map._canvasContainer.classList.add("mapboxgl-track-pointer")),this},n.prototype.getElement=function(){return this._container},n.prototype.setText=function(e){return this.setDOMContent(t.window.document.createTextNode(e))},n.prototype.setHTML=function(e){var r,n=t.window.document.createDocumentFragment(),i=t.window.document.createElement("body");for(i.innerHTML=e;r=i.firstChild;)n.appendChild(r);return this.setDOMContent(n)},n.prototype.getMaxWidth=function(){return this._container&&this._container.style.maxWidth},n.prototype.setMaxWidth=function(t){return this.options.maxWidth=t,this._update(),this},n.prototype.setDOMContent=function(t){if(this._content)for(;this._content.hasChildNodes();)this._content.firstChild&&this._content.removeChild(this._content.firstChild);else this._content=r.create("div","mapboxgl-popup-content",this._container);return this._content.appendChild(t),this._createCloseButton(),this._update(),this._focusFirstElement(),this},n.prototype.addClassName=function(t){this._container&&this._container.classList.add(t)},n.prototype.removeClassName=function(t){this._container&&this._container.classList.remove(t)},n.prototype.setOffset=function(t){return this.options.offset=t,this._update(),this},n.prototype.toggleClassName=function(t){if(this._container)return this._container.classList.toggle(t)},n.prototype._createCloseButton=function(){this.options.closeButton&&(this._closeButton=r.create("button","mapboxgl-popup-close-button",this._content),this._closeButton.type="button",this._closeButton.setAttribute("aria-label","Close popup"),this._closeButton.innerHTML="×",this._closeButton.addEventListener("click",this._onClose))},n.prototype._onMouseUp=function(t){this._update(t.point)},n.prototype._onMouseMove=function(t){this._update(t.point)},n.prototype._onDrag=function(t){this._update(t.point)},n.prototype._update=function(t){var e=this,n=this._lngLat||this._trackPointer;if(this._map&&n&&this._content&&(this._container||(this._container=r.create("div","mapboxgl-popup",this._map.getContainer()),this._tip=r.create("div","mapboxgl-popup-tip",this._container),this._container.appendChild(this._content),this.options.className&&this.options.className.split(" ").forEach((function(t){return e._container.classList.add(t)})),this._trackPointer&&this._container.classList.add("mapboxgl-popup-track-pointer")),this.options.maxWidth&&this._container.style.maxWidth!==this.options.maxWidth&&(this._container.style.maxWidth=this.options.maxWidth),this._map.transform.renderWorldCopies&&!this._trackPointer&&(this._lngLat=Vi(this._lngLat,this._pos,this._map.transform)),!this._trackPointer||t)){var i=this._pos=this._trackPointer&&t?t:this._map.project(this._lngLat),a=this.options.anchor,o=aa(this.options.offset);if(!a){var s,l=this._container.offsetWidth,u=this._container.offsetHeight;s=i.y+o.bottom.ythis._map.transform.height-u?["bottom"]:[],i.xthis._map.transform.width-l/2&&s.push("right"),a=0===s.length?"bottom":s.join("-")}var c=i.add(o[a]).round();r.setTransform(this._container,qi[a]+" translate("+c.x+"px,"+c.y+"px)"),Hi(this._container,a,"popup")}},n.prototype._focusFirstElement=function(){if(this.options.focusAfterOpen&&this._container){var t=this._container.querySelector(na);t&&t.focus()}},n.prototype._onClose=function(){this.remove()},n}(t.Evented);function aa(e){if(e){if("number"==typeof e){var r=Math.round(Math.sqrt(.5*Math.pow(e,2)));return{center:new t.Point(0,0),top:new t.Point(0,e),"top-left":new t.Point(r,r),"top-right":new t.Point(-r,r),bottom:new t.Point(0,-e),"bottom-left":new t.Point(r,-r),"bottom-right":new t.Point(-r,-r),left:new t.Point(e,0),right:new t.Point(-e,0)}}if(e instanceof t.Point||Array.isArray(e)){var n=t.Point.convert(e);return{center:n,top:n,"top-left":n,"top-right":n,bottom:n,"bottom-left":n,"bottom-right":n,left:n,right:n}}return{center:t.Point.convert(e.center||[0,0]),top:t.Point.convert(e.top||[0,0]),"top-left":t.Point.convert(e["top-left"]||[0,0]),"top-right":t.Point.convert(e["top-right"]||[0,0]),bottom:t.Point.convert(e.bottom||[0,0]),"bottom-left":t.Point.convert(e["bottom-left"]||[0,0]),"bottom-right":t.Point.convert(e["bottom-right"]||[0,0]),left:t.Point.convert(e.left||[0,0]),right:t.Point.convert(e.right||[0,0])}}return aa(new t.Point(0,0))}var oa={version:t.version,supported:e,setRTLTextPlugin:t.setRTLTextPlugin,getRTLTextPluginStatus:t.getRTLTextPluginStatus,Map:Fi,NavigationControl:ji,GeolocateControl:Ki,AttributionControl:Ei,ScaleControl:$i,FullscreenControl:ea,Popup:ia,Marker:Wi,Style:Ye,LngLat:t.LngLat,LngLatBounds:t.LngLatBounds,Point:t.Point,MercatorCoordinate:t.MercatorCoordinate,Evented:t.Evented,config:t.config,prewarm:function(){jt().acquire(Rt)},clearPrewarmedResources:function(){var t=Bt;t&&(t.isPreloaded()&&1===t.numActive()?(t.release(Rt),Bt=null):console.warn("Could not clear WebWorkers since there are active Map instances that still reference it. The pre-warmed WebWorker pool can only be cleared when all map instances have been removed with map.remove()"))},get accessToken(){return t.config.ACCESS_TOKEN},set accessToken(e){t.config.ACCESS_TOKEN=e},get baseApiUrl(){return t.config.API_URL},set baseApiUrl(e){t.config.API_URL=e},get workerCount(){return Ft.workerCount},set workerCount(t){Ft.workerCount=t},get maxParallelImageRequests(){return t.config.MAX_PARALLEL_IMAGE_REQUESTS},set maxParallelImageRequests(e){t.config.MAX_PARALLEL_IMAGE_REQUESTS=e},clearStorage:function(e){t.clearTileCache(e)},workerUrl:""};return oa})),r}()},3108:function(t,e,r){"use strict";t.exports=r(26099)},26099:function(t,e,r){"use strict";var n=r(64928),i=r(32420),a=r(51160),o=r(76752),s=r(55616),l=r(31264),u=r(47520),c=r(18400),f=r(72512),h=r(76244);function p(t,e){for(var r=e[0],n=e[1],a=1/(e[2]-r),o=1/(e[3]-n),s=new Array(t.length),l=0,u=t.length/2;l>>1;e.dtype||(e.dtype="array"),"string"==typeof e.dtype?d=new(f(e.dtype))(g):e.dtype&&(d=e.dtype,Array.isArray(d)&&(d.length=g));for(var y=0;yr||s>1073741824){for(var h=0;hr+i||M>n+i||S=C||o===s)){var l=m[a];void 0===s&&(s=l.length);for(var u=o;u=g&&f<=w&&h>=y&&h<=T&&P.push(c)}var p=x[a],d=p[4*o+0],v=p[4*o+1],b=p[4*o+2],_=p[4*o+3],k=function(t,e){for(var r=null,n=0;null===r;)if(r=t[4*e+n],++n>t.length)return null;return r}(p,o+1),E=.5*i,O=a+1;e(r,n,E,O,d,v||b||_||k),e(r,n+E,E,O,v,b||_||k),e(r+E,n,E,O,b,_||k),e(r+E,n+E,E,O,_,k)}}(0,0,1,0,0,1),P},d;function E(t,e,r){for(var n=1,i=.5,a=.5,o=.5,s=0;s0){e+=Math.abs(o(t[0]));for(var r=1;r2){for(l=0;l=0))throw new Error("precision must be a positive number");var r=Math.pow(10,e||0);return Math.round(t*r)/r},e.radiansToLength=c,e.lengthToRadians=f,e.lengthToDegrees=function(t,e){return h(f(t,e))},e.bearingToAzimuth=function(t){var e=t%360;return e<0&&(e+=360),e},e.radiansToDegrees=h,e.degreesToRadians=function(t){return t%360*Math.PI/180},e.convertLength=function(t,e,r){if(void 0===e&&(e="kilometers"),void 0===r&&(r="kilometers"),!(t>=0))throw new Error("length must be a positive number");return c(f(t,e),r)},e.convertArea=function(t,r,n){if(void 0===r&&(r="meters"),void 0===n&&(n="kilometers"),!(t>=0))throw new Error("area must be a positive number");var i=e.areaFactors[r];if(!i)throw new Error("invalid original units");var a=e.areaFactors[n];if(!a)throw new Error("invalid final units");return t/i*a},e.isNumber=p,e.isObject=function(t){return!!t&&t.constructor===Object},e.validateBBox=function(t){if(!t)throw new Error("bbox is required");if(!Array.isArray(t))throw new Error("bbox must be an Array");if(4!==t.length&&6!==t.length)throw new Error("bbox must be an Array of 4 or 6 numbers");t.forEach((function(t){if(!p(t))throw new Error("bbox must only contain numbers")}))},e.validateId=function(t){if(!t)throw new Error("id is required");if(-1===["string","number"].indexOf(typeof t))throw new Error("id must be a number or a string")}},3256:function(t,e,r){"use 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n=r(50896);function i(){this.regionalOptions=[],this.regionalOptions[""]={invalidCalendar:"Calendar {0} not found",invalidDate:"Invalid {0} date",invalidMonth:"Invalid {0} month",invalidYear:"Invalid {0} year",differentCalendars:"Cannot mix {0} and {1} dates"},this.local=this.regionalOptions[""],this.calendars={},this._localCals={}}function a(t,e,r,n){if(this._calendar=t,this._year=e,this._month=r,this._day=n,0===this._calendar._validateLevel&&!this._calendar.isValid(this._year,this._month,this._day))throw(u.local.invalidDate||u.regionalOptions[""].invalidDate).replace(/\{0\}/,this._calendar.local.name)}function o(t,e){return"000000".substring(0,e-(t=""+t).length)+t}function s(){this.shortYearCutoff="+10"}function l(t){this.local=this.regionalOptions[t]||this.regionalOptions[""]}n(i.prototype,{instance:function(t,e){t=(t||"gregorian").toLowerCase(),e=e||"";var r=this._localCals[t+"-"+e];if(!r&&this.calendars[t]&&(r=new 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0===arguments.length?this._day:this.set(t,"d")},date:function(t,e,r){if(!this._calendar.isValid(t,e,r))throw(u.local.invalidDate||u.regionalOptions[""].invalidDate).replace(/\{0\}/,this._calendar.local.name);return this._year=t,this._month=e,this._day=r,this},leapYear:function(){return this._calendar.leapYear(this)},epoch:function(){return this._calendar.epoch(this)},formatYear:function(){return this._calendar.formatYear(this)},monthOfYear:function(){return this._calendar.monthOfYear(this)},weekOfYear:function(){return this._calendar.weekOfYear(this)},daysInYear:function(){return this._calendar.daysInYear(this)},dayOfYear:function(){return this._calendar.dayOfYear(this)},daysInMonth:function(){return this._calendar.daysInMonth(this)},dayOfWeek:function(){return this._calendar.dayOfWeek(this)},weekDay:function(){return this._calendar.weekDay(this)},extraInfo:function(){return this._calendar.extraInfo(this)},add:function(t,e){return this._calendar.add(this,t,e)},set:function(t,e){return this._calendar.set(this,t,e)},compareTo:function(t){if(this._calendar.name!==t._calendar.name)throw(u.local.differentCalendars||u.regionalOptions[""].differentCalendars).replace(/\{0\}/,this._calendar.local.name).replace(/\{1\}/,t._calendar.local.name);var e=this._year!==t._year?this._year-t._year:this._month!==t._month?this.monthOfYear()-t.monthOfYear():this._day-t._day;return 0===e?0:e<0?-1:1},calendar:function(){return this._calendar},toJD:function(){return this._calendar.toJD(this)},fromJD:function(t){return this._calendar.fromJD(t)},toJSDate:function(){return this._calendar.toJSDate(this)},fromJSDate:function(t){return this._calendar.fromJSDate(t)},toString:function(){return(this.year()<0?"-":"")+o(Math.abs(this.year()),4)+"-"+o(this.month(),2)+"-"+o(this.day(),2)}}),n(s.prototype,{_validateLevel:0,newDate:function(t,e,r){return null==t?this.today():(t.year&&(this._validate(t,e,r,u.local.invalidDate||u.regionalOptions[""].invalidDate),r=t.day(),e=t.month(),t=t.year()),new a(this,t,e,r))},today:function(){return this.fromJSDate(new Date)},epoch:function(t){return this._validate(t,this.minMonth,this.minDay,u.local.invalidYear||u.regionalOptions[""].invalidYear).year()<0?this.local.epochs[0]:this.local.epochs[1]},formatYear:function(t){var e=this._validate(t,this.minMonth,this.minDay,u.local.invalidYear||u.regionalOptions[""].invalidYear);return(e.year()<0?"-":"")+o(Math.abs(e.year()),4)},monthsInYear:function(t){return this._validate(t,this.minMonth,this.minDay,u.local.invalidYear||u.regionalOptions[""].invalidYear),12},monthOfYear:function(t,e){var r=this._validate(t,e,this.minDay,u.local.invalidMonth||u.regionalOptions[""].invalidMonth);return(r.month()+this.monthsInYear(r)-this.firstMonth)%this.monthsInYear(r)+this.minMonth},fromMonthOfYear:function(t,e){var r=(e+this.firstMonth-2*this.minMonth)%this.monthsInYear(t)+this.minMonth;return 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0!==_&&Math.min(c,_)-Math.max(u,b)>1&&("left"===i.side?(s=i._mainLinePosition,l=r.width):l=i._mainLinePosition):void 0!==m&&void 0!==x&&Math.min(c,x)-Math.max(u,m)>1&&("top"===i.side?(s=i._mainLinePosition,l=r.height):l=i._mainLinePosition)}g[y++]=[{datum:t,traceIndex:t.trace.index,dp:0,pos:t.pos,posref:t.posref,size:t.by*(a?T:1)/2,pmin:s,pmax:l}]})),g.sort((function(t,e){return t[0].posref-e[0].posref||d*(e[0].traceIndex-t[0].traceIndex)}));!i&&p<=v;){for(p++,i=!0,s=0;s.01&&L.pmin===C.pmin&&L.pmax===C.pmax){for(l=E.length-1;l>=0;l--)E[l].dp+=a;for(S.push.apply(S,E),g.splice(s+1,1),c=0,l=S.length-1;l>=0;l--)c+=S[l].dp;for(o=c/S.length,l=S.length-1;l>=0;l--)S[l].dp-=o;i=!1}else s++}g.forEach(A)}for(s=g.length-1;s>=0;s--){var P=g[s];for(l=P.length-1;l>=0;l--){var O=P[l],I=O.datum;I.offset=O.dp,I.del=O.del}}}(Zt,Wt,c,Xt.commonLabelBoundingBox),z(Zt,Wt,c._invScaleX,c._invScaleY)),s&&s.tagName){var Kt=g.getComponentMethod("annotations","hasClickToShow")(t,Ot);f(n.select(s),Kt?"pointer":"")}s&&!a&&function(t,e,r){if(!r||r.length!==t._hoverdata.length)return!0;for(var n=r.length-1;n>=0;n--){var i=r[n],a=t._hoverdata[n];if(i.curveNumber!==a.curveNumber||String(i.pointNumber)!==String(a.pointNumber)||String(i.pointNumbers)!==String(a.pointNumbers))return!0}return!1}(t,0,Pt)&&(Pt&&t.emit("plotly_unhover",{event:e,points:Pt}),t.emit("plotly_hover",{event:e,points:t._hoverdata,xaxes:_,yaxes:w,xvals:H,yvals:G}))}(t,e,r,a,s)}))},e.loneHover=function(t,e){var r=!0;Array.isArray(t)||(r=!1,t=[t]);var i=e.gd,a=U(i),o=V(i),s=O(t.map((function(t){var r=t._x0||t.x0||t.x||0,n=t._x1||t.x1||t.x||0,s=t._y0||t.y0||t.y||0,l=t._y1||t.y1||t.y||0,u=t.eventData;if(u){var c=Math.min(r,n),f=Math.max(r,n),h=Math.min(s,l),d=Math.max(s,l),v=t.trace;if(g.traceIs(v,"gl3d")){var y=i._fullLayout[v.scene]._scene.container,m=y.offsetLeft,x=y.offsetTop;c+=m,f+=m,h+=x,d+=x}u.bbox={x0:c+o,x1:f+o,y0:h+a,y1:d+a},e.inOut_bbox&&e.inOut_bbox.push(u.bbox)}else u=!1;return{color:t.color||p.defaultLine,x0:t.x0||t.x||0,x1:t.x1||t.x||0,y0:t.y0||t.y||0,y1:t.y1||t.y||0,xLabel:t.xLabel,yLabel:t.yLabel,zLabel:t.zLabel,text:t.text,name:t.name,idealAlign:t.idealAlign,borderColor:t.borderColor,fontFamily:t.fontFamily,fontSize:t.fontSize,fontColor:t.fontColor,nameLength:t.nameLength,textAlign:t.textAlign,trace:t.trace||{index:0,hoverinfo:""},xa:{_offset:0},ya:{_offset:0},index:0,hovertemplate:t.hovertemplate||!1,hovertemplateLabels:t.hovertemplateLabels||!1,eventData:u}})),{gd:i,hovermode:"closest",rotateLabels:!1,bgColor:e.bgColor||p.background,container:n.select(e.container),outerContainer:e.outerContainer||e.container}).hoverLabels,l=0,u=0;return s.sort((function(t,e){return t.y0-e.y0})).each((function(t,r){var n=t.y0-t.by/2;t.offset=n-5([\s\S]*)<\/extra>/;function O(t,e){var r=e.gd,i=r._fullLayout,a=e.hovermode,u=e.rotateLabels,f=e.bgColor,d=e.container,v=e.outerContainer,w=e.commonLabelOpts||{};if(0===t.length)return[[]];var T=e.fontFamily||m.HOVERFONT,k=e.fontSize||m.HOVERFONTSIZE,A=t[0],E=A.xa,L=A.ya,P=a.charAt(0),O=P+"Label",D=A[O];if(void 0===D&&"multicategory"===E.type)for(var z=0;zi.width-b?(g=i.width-b,e.attr("d","M"+(b-M)+",0L"+b+","+x+M+"v"+x+(2*S+m.height)+"H-"+b+"V"+x+M+"H"+(b-2*M)+"Z")):e.attr("d","M0,0L"+M+","+x+M+"H"+b+"v"+x+(2*S+m.height)+"H-"+b+"V"+x+M+"H-"+M+"Z"),Y.minX=g-b,Y.maxX=g+b,"top"===E.side?(Y.minY=y-(2*S+m.height),Y.maxY=y-S):(Y.minY=y+S,Y.maxY=y+(2*S+m.height))}else{var _,C,P;"right"===L.side?(_="start",C=1,P="",g=E._offset+E._length):(_="end",C=-1,P="-",g=E._offset),y=L._offset+(A.y0+A.y1)/2,l.attr("text-anchor",_),e.attr("d","M0,0L"+P+M+","+M+"V"+(S+m.height/2)+"h"+P+(2*S+m.width)+"V-"+(S+m.height/2)+"H"+P+M+"V-"+M+"Z"),Y.minY=y-(S+m.height/2),Y.maxY=y+(S+m.height/2),"right"===L.side?(Y.minX=g+M,Y.maxX=g+M+(2*S+m.width)):(Y.minX=g-M-(2*S+m.width),Y.maxX=g-M);var O,I=m.height/2,z=F-m.top-I,R="clip"+i._uid+"commonlabel"+L._id;if(g=0?lt:ut+ht=0?ut:bt+ht=0?ot:st+pt=0?st:_t+pt=0,"top"!==t.idealAlign&&G||!W?G?(O+=R/2,t.anchor="start"):t.anchor="middle":(O-=R/2,t.anchor="end"),t.crossPos=O;else{if(t.pos=O,G=P+z/2+Y<=B,W=P-z/2-Y>=0,"left"!==t.idealAlign&&G||!W)if(G)P+=z/2,t.anchor="start";else{t.anchor="middle";var X=Y/2,Z=P+X-B,K=P-X;Z>0&&(P-=Z),K<0&&(P+=-K)}else P-=z/2,t.anchor="end";t.crossPos=P}w.attr("text-anchor",t.anchor),E&&A.attr("text-anchor",t.anchor),e.attr("transform",s(P,O)+(u?l(_):""))})),{hoverLabels:wt,commonLabelBoundingBox:Y}}function I(t,e,r,n,i,a){var s="",l="";void 0!==t.nameOverride&&(t.name=t.nameOverride),t.name&&(t.trace._meta&&(t.name=o.templateString(t.name,t.trace._meta)),s=N(t.name,t.nameLength));var u=r.charAt(0),c="x"===u?"y":"x";void 0!==t.zLabel?(void 0!==t.xLabel&&(l+="x: "+t.xLabel+"
"),void 0!==t.yLabel&&(l+="y: "+t.yLabel+"
"),"choropleth"!==t.trace.type&&"choroplethmapbox"!==t.trace.type&&(l+=(l?"z: ":"")+t.zLabel)):e&&t[u+"Label"]===i?l=t[c+"Label"]||"":void 0===t.xLabel?void 0!==t.yLabel&&"scattercarpet"!==t.trace.type&&(l=t.yLabel):l=void 0===t.yLabel?t.xLabel:"("+t.xLabel+", "+t.yLabel+")",!t.text&&0!==t.text||Array.isArray(t.text)||(l+=(l?"
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i,s,l,u,f=r.select("text.nums"),p=t.anchor,d="end"===p?-1:1,v=(u=(l=(s={start:1,end:-1,middle:0}[(i=t).anchor])*(M+S))+s*(i.txwidth+S),"middle"===i.anchor&&(l-=i.tx2width/2,u+=i.txwidth/2+S),{alignShift:s,textShiftX:l,text2ShiftX:u}),g=D(t,e),y=g.x,m=g.y,x="middle"===p;r.select("path").attr("d",x?"M-"+a(t.bx/2+t.tx2width/2)+","+o(m-t.by/2)+"h"+a(t.bx)+"v"+o(t.by)+"h-"+a(t.bx)+"Z":"M0,0L"+a(d*M+y)+","+o(M+m)+"v"+o(t.by/2-M)+"h"+a(d*t.bx)+"v-"+o(t.by)+"H"+a(d*M+y)+"V"+o(m-M)+"Z");var b=y+v.textShiftX,_=m+t.ty0-t.by/2+S,w=t.textAlign||"auto";"auto"!==w&&("left"===w&&"start"!==p?(f.attr("text-anchor","start"),b=x?-t.bx/2-t.tx2width/2+S:-t.bx-S):"right"===w&&"end"!==p&&(f.attr("text-anchor","end"),b=x?t.bx/2-t.tx2width/2-S:t.bx+S)),f.call(c.positionText,a(b),o(_)),t.tx2width&&(r.select("text.name").call(c.positionText,a(v.text2ShiftX+v.alignShift*S+y),o(m+t.ty0-t.by/2+S)),r.select("rect").call(h.setRect,a(v.text2ShiftX+(v.alignShift-1)*t.tx2width/2+y),o(m-t.by/2-1),a(t.tx2width),o(t.by+2)))}))}function R(t,e){var r=t.index,n=t.trace||{},a=t.cd[0],s=t.cd[r]||{};function l(t){return t||i(t)&&0===t}var u=Array.isArray(r)?function(t,e){var i=o.castOption(a,r,t);return l(i)?i:o.extractOption({},n,"",e)}:function(t,e){return o.extractOption(s,n,t,e)};function c(e,r,n){var i=u(r,n);l(i)&&(t[e]=i)}if(c("hoverinfo","hi","hoverinfo"),c("bgcolor","hbg","hoverlabel.bgcolor"),c("borderColor","hbc","hoverlabel.bordercolor"),c("fontFamily","htf","hoverlabel.font.family"),c("fontSize","hts","hoverlabel.font.size"),c("fontColor","htc","hoverlabel.font.color"),c("nameLength","hnl","hoverlabel.namelength"),c("textAlign","hta","hoverlabel.align"),t.posref="y"===e||"closest"===e&&"h"===n.orientation?t.xa._offset+(t.x0+t.x1)/2:t.ya._offset+(t.y0+t.y1)/2,t.x0=o.constrain(t.x0,0,t.xa._length),t.x1=o.constrain(t.x1,0,t.xa._length),t.y0=o.constrain(t.y0,0,t.ya._length),t.y1=o.constrain(t.y1,0,t.ya._length),void 0!==t.xLabelVal&&(t.xLabel="xLabel"in t?t.xLabel:v.hoverLabelText(t.xa,t.xLabelVal,n.xhoverformat),t.xVal=t.xa.c2d(t.xLabelVal)),void 0!==t.yLabelVal&&(t.yLabel="yLabel"in t?t.yLabel:v.hoverLabelText(t.ya,t.yLabelVal,n.yhoverformat),t.yVal=t.ya.c2d(t.yLabelVal)),void 0!==t.zLabelVal&&void 0===t.zLabel&&(t.zLabel=String(t.zLabelVal)),!(isNaN(t.xerr)||"log"===t.xa.type&&t.xerr<=0)){var f=v.tickText(t.xa,t.xa.c2l(t.xerr),"hover").text;void 0!==t.xerrneg?t.xLabel+=" +"+f+" / -"+v.tickText(t.xa,t.xa.c2l(t.xerrneg),"hover").text:t.xLabel+=" ± "+f,"x"===e&&(t.distance+=1)}if(!(isNaN(t.yerr)||"log"===t.ya.type&&t.yerr<=0)){var h=v.tickText(t.ya,t.ya.c2l(t.yerr),"hover").text;void 0!==t.yerrneg?t.yLabel+=" +"+h+" / -"+v.tickText(t.ya,t.ya.c2l(t.yerrneg),"hover").text:t.yLabel+=" ± "+h,"y"===e&&(t.distance+=1)}var p=t.hoverinfo||t.trace.hoverinfo;return p&&"all"!==p&&(-1===(p=Array.isArray(p)?p:p.split("+")).indexOf("x")&&(t.xLabel=void 0),-1===p.indexOf("y")&&(t.yLabel=void 0),-1===p.indexOf("z")&&(t.zLabel=void 0),-1===p.indexOf("text")&&(t.text=void 0),-1===p.indexOf("name")&&(t.name=void 0)),t}function F(t,e,r){var n,i,o=r.container,s=r.fullLayout,l=s._size,u=r.event,c=!!e.hLinePoint,f=!!e.vLinePoint;if(o.selectAll(".spikeline").remove(),f||c){var d=p.combine(s.plot_bgcolor,s.paper_bgcolor);if(c){var g,y,m=e.hLinePoint;n=m&&m.xa,"cursor"===(i=m&&m.ya).spikesnap?(g=u.pointerX,y=u.pointerY):(g=n._offset+m.x,y=i._offset+m.y);var x,b,_=a.readability(m.color,d)<1.5?p.contrast(d):m.color,w=i.spikemode,T=i.spikethickness,k=i.spikecolor||_,A=v.getPxPosition(t,i);if(-1!==w.indexOf("toaxis")||-1!==w.indexOf("across")){if(-1!==w.indexOf("toaxis")&&(x=A,b=g),-1!==w.indexOf("across")){var 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l=o.selectAll("g."+f.headerGroupClassName).data(r,p);l.enter().append("g").classed(f.headerGroupClassName,!0);for(var u=s.ensureSingle(o,"g",f.dropdownButtonGroupClassName,(function(t){t.style("pointer-events","all")})),c=0;cw,A=s.barLength+2*s.barPad,M=s.barWidth+2*s.barPad,S=d,E=g+y;E+M>u&&(E=u-M);var L=this.container.selectAll("rect.scrollbar-horizontal").data(k?[0]:[]);L.exit().on(".drag",null).remove(),L.enter().append("rect").classed("scrollbar-horizontal",!0).call(i.fill,s.barColor),k?(this.hbar=L.attr({rx:s.barRadius,ry:s.barRadius,x:S,y:E,width:A,height:M}),this._hbarXMin=S+A/2,this._hbarTranslateMax=w-A):(delete this.hbar,delete this._hbarXMin,delete this._hbarTranslateMax);var C=y>T,P=s.barWidth+2*s.barPad,O=s.barLength+2*s.barPad,I=d+v,D=g;I+P>l&&(I=l-P);var z=this.container.selectAll("rect.scrollbar-vertical").data(C?[0]:[]);z.exit().on(".drag",null).remove(),z.enter().append("rect").classed("scrollbar-vertical",!0).call(i.fill,s.barColor),C?(this.vbar=z.attr({rx:s.barRadius,ry:s.barRadius,x:I,y:D,width:P,height:O}),this._vbarYMin=D+O/2,this._vbarTranslateMax=T-O):(delete this.vbar,delete this._vbarYMin,delete this._vbarTranslateMax);var R=this.id,F=c-.5,B=C?f+P+.5:f+.5,N=h-.5,j=k?p+M+.5:p+.5,U=o._topdefs.selectAll("#"+R).data(k||C?[0]:[]);if(U.exit().remove(),U.enter().append("clipPath").attr("id",R).append("rect"),k||C?(this._clipRect=U.select("rect").attr({x:Math.floor(F),y:Math.floor(N),width:Math.ceil(B)-Math.floor(F),height:Math.ceil(j)-Math.floor(N)}),this.container.call(a.setClipUrl,R,this.gd),this.bg.attr({x:d,y:g,width:v,height:y})):(this.bg.attr({width:0,height:0}),this.container.on("wheel",null).on(".drag",null).call(a.setClipUrl,null),delete this._clipRect),k||C){var 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r=this.position.w-this._box.w,n=this.position.h-this._box.h;if(t=o.constrain(t||0,0,r),e=o.constrain(e||0,0,n),this.translateX=t,this.translateY=e,this.container.call(a.setTranslate,this._box.l-this.position.l-t,this._box.t-this.position.t-e),this._clipRect&&this._clipRect.attr({x:Math.floor(this.position.l+t-.5),y:Math.floor(this.position.t+e-.5)}),this.hbar){var i=t/r;this.hbar.call(a.setTranslate,t+i*this._hbarTranslateMax,e)}if(this.vbar){var s=e/n;this.vbar.call(a.setTranslate,t,e+s*this._vbarTranslateMax)}}},84284:function(t){"use strict";t.exports={FROM_BL:{left:0,center:.5,right:1,bottom:0,middle:.5,top:1},FROM_TL:{left:0,center:.5,right:1,bottom:1,middle:.5,top:0},FROM_BR:{left:1,center:.5,right:0,bottom:0,middle:.5,top:1},LINE_SPACING:1.3,CAP_SHIFT:.7,MID_SHIFT:.35,OPPOSITE_SIDE:{left:"right",right:"left",top:"bottom",bottom:"top"}}},36208:function(t){"use strict";t.exports={axisRefDescription:function(t,e,r){return["If set to a",t,"axis id (e.g. *"+t+"* or","*"+t+"2*), the 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r=t[i[e]];r.visible?(this.enabled[e]=r.showspikes,this.colors[e]=n(r.spikecolor),this.drawSides[e]=r.spikesides,this.lineWidth[e]=r.spikethickness):(this.enabled[e]=!1,this.drawSides[e]=!1)}},t.exports=function(t){var e=new a;return e.merge(t),e}},87152:function(t,e,r){"use strict";t.exports=function(t){for(var e=t.axesOptions,r=t.glplot.axesPixels,s=t.fullSceneLayout,l=[[],[],[]],u=0;u<3;++u){var c=s[a[u]];if(c._length=(r[u].hi-r[u].lo)*r[u].pixelsPerDataUnit/t.dataScale[u],Math.abs(c._length)===1/0||isNaN(c._length))l[u]=[];else{c._input_range=c.range.slice(),c.range[0]=r[u].lo/t.dataScale[u],c.range[1]=r[u].hi/t.dataScale[u],c._m=1/(t.dataScale[u]*r[u].pixelsPerDataUnit),c.range[0]===c.range[1]&&(c.range[0]-=1,c.range[1]+=1);var f=c.tickmode;if("auto"===c.tickmode){c.tickmode="linear";var h=c.nticks||i.constrain(c._length/40,4,9);n.autoTicks(c,Math.abs(c.range[1]-c.range[0])/h)}for(var p=n.calcTicks(c,{msUTC:!0}),d=0;d/g," 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F=x[u=(l=c[M[o]]).type];R[o]=Math.pow(F.acc,1/F.count)/p[o]}g="data"===D||Math.max.apply(null,R)/Math.min.apply(null,R)<=4?R:[1,1,1]}c.aspectratio.x=f.aspectratio.x=g[0],c.aspectratio.y=f.aspectratio.y=g[1],c.aspectratio.z=f.aspectratio.z=g[2],n.glplot.setAspectratio(c.aspectratio),n.viewInitial.aspectratio||(n.viewInitial.aspectratio={x:c.aspectratio.x,y:c.aspectratio.y,z:c.aspectratio.z}),n.viewInitial.aspectmode||(n.viewInitial.aspectmode=c.aspectmode);var B=c.domain||null,N=e._size||null;if(B&&N){var j=n.container.style;j.position="absolute",j.left=N.l+B.x[0]*N.w+"px",j.top=N.t+(1-B.y[1])*N.h+"px",j.width=N.w*(B.x[1]-B.x[0])+"px",j.height=N.h*(B.y[1]-B.y[0])+"px"}n.glplot.redraw()}},k.destroy=function(){var t=this;t.glplot&&(t.camera.mouseListener.enabled=!1,t.container.removeEventListener("wheel",t.camera.wheelListener),t.camera=null,t.glplot.dispose(),t.container.parentNode.removeChild(t.container),t.glplot=null)},k.getCamera=function(){var t,e=this;return e.camera.view.recalcMatrix(e.camera.view.lastT()),{up:{x:(t=e.camera).up[0],y:t.up[1],z:t.up[2]},center:{x:t.center[0],y:t.center[1],z:t.center[2]},eye:{x:t.eye[0],y:t.eye[1],z:t.eye[2]},projection:{type:!0===t._ortho?"orthographic":"perspective"}}},k.setViewport=function(t){var e,r=this,n=t.camera;r.camera.lookAt.apply(this,[[(e=n).eye.x,e.eye.y,e.eye.z],[e.center.x,e.center.y,e.center.z],[e.up.x,e.up.y,e.up.z]]),r.glplot.setAspectratio(t.aspectratio),"orthographic"===n.projection.type!==r.camera._ortho&&(r.glplot.redraw(),r.glplot.clearRGBA(),r.glplot.dispose(),r.initializeGLPlot())},k.isCameraChanged=function(t){var e=this.getCamera(),r=f.nestedProperty(t,this.id+".camera").get();function n(t,e,r,n){var i=["up","center","eye"],a=["x","y","z"];return e[i[r]]&&t[i[r]][a[n]]===e[i[r]][a[n]]}var i=!1;if(void 0===r)i=!0;else{for(var a=0;a<3;a++)for(var o=0;o<3;o++)if(!n(e,r,a,o)){i=!0;break}(!r.projection||e.projection&&e.projection.type!==r.projection.type)&&(i=!0)}return i},k.isAspectChanged=function(t){var e=this.glplot.getAspectratio(),r=f.nestedProperty(t,this.id+".aspectratio").get();return void 0===r||r.x!==e.x||r.y!==e.y||r.z!==e.z},k.saveLayout=function(t){var e,r,n,i,a,o,s=this,l=s.fullLayout,u=s.isCameraChanged(t),h=s.isAspectChanged(t),p=u||h;if(p){var d={};u&&(e=s.getCamera(),n=(r=f.nestedProperty(t,s.id+".camera")).get(),d[s.id+".camera"]=n),h&&(i=s.glplot.getAspectratio(),o=(a=f.nestedProperty(t,s.id+".aspectratio")).get(),d[s.id+".aspectratio"]=o),c.call("_storeDirectGUIEdit",t,l._preGUI,d),u&&(r.set(e),f.nestedProperty(l,s.id+".camera").set(e)),h&&(a.set(i),f.nestedProperty(l,s.id+".aspectratio").set(i),s.glplot.redraw())}return p},k.updateFx=function(t,e){var r=this,n=r.camera;if(n)if("orbit"===t)n.mode="orbit",n.keyBindingMode="rotate";else if("turntable"===t){n.up=[0,0,1],n.mode="turntable",n.keyBindingMode="rotate";var i=r.graphDiv,a=i._fullLayout,o=r.fullSceneLayout.camera,s=o.up.x,l=o.up.y,u=o.up.z;if(u/Math.sqrt(s*s+l*l+u*u)<.999){var h=r.id+".camera.up",p={x:0,y:0,z:1},d={};d[h]=p;var v=i.layout;c.call("_storeDirectGUIEdit",v,a._preGUI,d),o.up=p,f.nestedProperty(v,h).set(p)}}else n.keyBindingMode=t;r.fullSceneLayout.hovermode=e},k.toImage=function(t){var e=this;t||(t="png"),e.staticMode&&e.container.appendChild(n),e.glplot.redraw();var r=e.glplot.gl,i=r.drawingBufferWidth,a=r.drawingBufferHeight;r.bindFramebuffer(r.FRAMEBUFFER,null);var o=new Uint8Array(i*a*4);r.readPixels(0,0,i,a,r.RGBA,r.UNSIGNED_BYTE,o),function(t,e,r){for(var n=0,i=r-1;n0)for(var s=255/o,l=0;l<3;++l)t[a+l]=Math.min(s*t[a+l],255)}}(o,i,a);var s=document.createElement("canvas");s.width=i,s.height=a;var 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t=i.numbersScaler(h);z+=t[2];var e,r=S(v,"numbersScale",1,t[0],z,Math.min);v._scaleNumbers||(r=1),e=v._isAngular?y-r*h.bottom:y-r*(h.top+h.bottom)/2,v._numbersTop=r*h.top+e;var n=h[T];"center"===T&&(n=(h.left+h.right)/2);var a=g-r*n;return a=S(v,"numbersTranslate",0,a,z,Math.max),l(a,e)+s(r)}))}(t,I,e,{numbersX:v,numbersY:E,numbersScaler:L,transitionOpts:r,onComplete:g}),D&&(C={range:O.gauge.axis.range,color:O.gauge.bgcolor,line:{color:O.gauge.bordercolor,width:0},thickness:1},P={range:O.gauge.axis.range,color:"rgba(0, 0, 0, 0)",line:{color:O.gauge.bordercolor,width:O.gauge.borderwidth},thickness:1});var W=I.selectAll("g.angular").data(z?e:[]);W.exit().remove();var Y=I.selectAll("g.angularaxis").data(z?e:[]);Y.exit().remove(),z&&function(t,e,r,a){var o,s,f,h,p=r[0].trace,v=a.size,g=a.radius,y=a.innerRadius,m=a.gaugeBg,x=a.gaugeOutline,b=[v.l+v.w/2,v.t+v.h/2+g/2],_=a.gauge,A=a.layer,M=a.transitionOpts,S=a.onComplete,E=Math.PI/2;function L(t){var 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U,V,q,H=j.select("path");w(M)?(H.transition().duration(M.duration).ease(M.easing).each("end",(function(){S&&S()})).each("interrupt",(function(){S&&S()})).attrTween("d",(U=N,V=L(r[0].lastY),q=L(r[0].y),function(){var t=i(V,q);return function(e){return U.endAngle(t(e))()}})),p._lastValue=r[0].y):H.attr("d","number"==typeof r[0].y?N.endAngle(L(r[0].y)):"M0,0Z"),H.call(T),j.exit().remove(),F=[];var G=p.gauge.threshold.value;(G||0===G)&&F.push({range:[G,G],color:p.gauge.threshold.color,line:{color:p.gauge.threshold.line.color,width:p.gauge.threshold.line.width},thickness:p.gauge.threshold.thickness});var W=_.selectAll("g.threshold-arc").data(F);W.enter().append("g").classed("threshold-arc",!0).append("path"),W.select("path").call(P).call(T),W.exit().remove();var Y=_.selectAll("g.gauge-outline").data([x]);Y.enter().append("g").classed("gauge-outline",!0).append("path"),Y.select("path").call(P).call(T),Y.exit().remove()}(t,0,e,{radius:U,innerRadius:V,gauge:W,layer:Y,size:B,gaugeBg:C,gaugeOutline:P,transitionOpts:r,onComplete:g});var X=I.selectAll("g.bullet").data(R?e:[]);X.exit().remove();var Z=I.selectAll("g.bulletaxis").data(R?e:[]);Z.exit().remove(),R&&function(t,e,r,n){var i,a,o,s,u,c=r[0].trace,f=n.gauge,p=n.layer,v=n.gaugeBg,g=n.gaugeOutline,y=n.size,x=c.domain,b=n.transitionOpts,_=n.onComplete;f.enter().append("g").classed("bullet",!0),f.attr("transform",l(y.l,y.t)),p.enter().append("g").classed("bulletaxis",!0).classed("crisp",!0),p.selectAll("g.xbulletaxistick,path,text").remove();var A=y.h,M=c.gauge.bar.thickness*A,S=x.x[0],E=x.x[0]+(x.x[1]-x.x[0])*(c._hasNumber||c._hasDelta?1-h.bulletNumberDomainSize:1);function L(t){t.attr("width",(function(t){return Math.max(0,i.c2p(t.range[1])-i.c2p(t.range[0]))})).attr("x",(function(t){return 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O=f.selectAll("g.value-bullet").data([c.gauge.bar]);O.enter().append("g").classed("value-bullet",!0).append("rect"),O.select("rect").attr("height",M).attr("y",(A-M)/2).call(T),w(b)?O.select("rect").transition().duration(b.duration).ease(b.easing).each("end",(function(){_&&_()})).each("interrupt",(function(){_&&_()})).attr("width",Math.max(0,i.c2p(Math.min(c.gauge.axis.range[1],r[0].y)))):O.select("rect").attr("width","number"==typeof r[0].y?Math.max(0,i.c2p(Math.min(c.gauge.axis.range[1],r[0].y))):0),O.exit().remove();var I=r.filter((function(){return 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n=r(49084),i=r(29736).axisHoverFormat,a=r(21776).Ks,o=r(16716),s=r(45464),l=r(92880).extendFlat;t.exports=l({x:{valType:"data_array",editType:"calc+clearAxisTypes"},y:{valType:"data_array",editType:"calc+clearAxisTypes"},z:{valType:"data_array",editType:"calc+clearAxisTypes"},i:{valType:"data_array",editType:"calc"},j:{valType:"data_array",editType:"calc"},k:{valType:"data_array",editType:"calc"},text:{valType:"string",dflt:"",arrayOk:!0,editType:"calc"},hovertext:{valType:"string",dflt:"",arrayOk:!0,editType:"calc"},hovertemplate:a({editType:"calc"}),xhoverformat:i("x"),yhoverformat:i("y"),zhoverformat:i("z"),delaunayaxis:{valType:"enumerated",values:["x","y","z"],dflt:"z",editType:"calc"},alphahull:{valType:"number",dflt:-1,editType:"calc"},intensity:{valType:"data_array",editType:"calc"},intensitymode:{valType:"enumerated",values:["vertex","cell"],dflt:"vertex",editType:"calc"},color:{valType:"color",editType:"calc"},vertexcolor:{valType:"data_array",editType:"calc"},facecolor:{valType:"data_array",editType:"calc"},transforms:void 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p=s(t,e,{name:"dimensions",handleItemDefaults:f}),d=function(t,e,r,o,s){s("line.shape"),s("line.hovertemplate");var l=s("line.color",o.colorway[0]);if(i(t,"line")&&n.isArrayOrTypedArray(l)){if(l.length)return s("line.colorscale"),a(t,e,o,s,{prefix:"line.",cLetter:"c"}),l.length;e.line.color=r}return 1/0}(t,e,r,c,h);o(e,c,h),Array.isArray(p)&&p.length||(e.visible=!1),u(e,p,"values",d),h("hoveron"),h("hovertemplate"),h("arrangement"),h("bundlecolors"),h("sortpaths"),h("counts");var v={family:c.font.family,size:Math.round(c.font.size),color:c.font.color};n.coerceFont(h,"labelfont",v);var g={family:c.font.family,size:Math.round(c.font.size/1.2),color:c.font.color};n.coerceFont(h,"tickfont",g)}},22020:function(t,e,r){"use strict";t.exports={attributes:r(72140),supplyDefaults:r(76671),calc:r(69136),plot:r(60268),colorbar:{container:"line",min:"cmin",max:"cmax"},moduleType:"trace",name:"parcats",basePlotModule:r(91800),categories:["noOpacity"],meta:{}}},51036:function(t,e,r){"use strict";var n=r(33428),i=r(67756).Gz,a=r(36424),o=r(93024),s=r(3400),l=s.strTranslate,u=r(43616),c=r(49760),f=r(72736);function h(t,e,r,i){var a=e._context.staticPlot,o=t.map(F.bind(0,e,r)),c=i.selectAll("g.parcatslayer").data([null]);c.enter().append("g").attr("class","parcatslayer").style("pointer-events",a?"none":"all");var h=c.selectAll("g.trace.parcats").data(o,p),m=h.enter().append("g").attr("class","trace parcats");h.attr("transform",(function(t){return l(t.x,t.y)})),m.append("g").attr("class","paths");var x=h.select("g.paths").selectAll("path.path").data((function(t){return t.paths}),p);x.attr("fill",(function(t){return t.model.color}));var w=x.enter().append("path").attr("class","path").attr("stroke-opacity",0).attr("fill",(function(t){return t.model.color})).attr("fill-opacity",0);_(w),x.attr("d",(function(t){return t.svgD})),w.empty()||x.sort(v),x.exit().remove(),x.on("mouseover",g).on("mouseout",y).on("click",b),m.append("g").attr("class","dimensions");var A=h.select("g.dimensions").selectAll("g.dimension").data((function(t){return t.dimensions}),p);A.enter().append("g").attr("class","dimension"),A.attr("transform",(function(t){return l(t.x,0)})),A.exit().remove();var M=A.selectAll("g.category").data((function(t){return t.categories}),p),S=M.enter().append("g").attr("class","category");M.attr("transform",(function(t){return l(0,t.y)})),S.append("rect").attr("class","catrect").attr("pointer-events","none"),M.select("rect.catrect").attr("fill","none").attr("width",(function(t){return t.width})).attr("height",(function(t){return t.height})),T(S);var E=M.selectAll("rect.bandrect").data((function(t){return t.bands}),p);E.each((function(){s.raiseToTop(this)})),E.attr("fill",(function(t){return t.color}));var D=E.enter().append("rect").attr("class","bandrect").attr("stroke-opacity",0).attr("fill",(function(t){return t.color})).attr("fill-opacity",0);E.attr("fill",(function(t){return t.color})).attr("width",(function(t){return t.width})).attr("height",(function(t){return t.height})).attr("y",(function(t){return t.y})).attr("cursor",(function(t){return"fixed"===t.parcatsViewModel.arrangement?"default":"perpendicular"===t.parcatsViewModel.arrangement?"ns-resize":"move"})),k(D),E.exit().remove(),S.append("text").attr("class","catlabel").attr("pointer-events","none");var z=e._fullLayout.paper_bgcolor;M.select("text.catlabel").attr("text-anchor",(function(t){return d(t)?"start":"end"})).attr("alignment-baseline","middle").style("text-shadow",f.makeTextShadow(z)).style("fill","rgb(0, 0, 0)").attr("x",(function(t){return d(t)?t.width+5:-5})).attr("y",(function(t){return t.height/2})).text((function(t){return t.model.categoryLabel})).each((function(t){u.font(n.select(this),t.parcatsViewModel.categorylabelfont),f.convertToTspans(n.select(this),e)})),S.append("text").attr("class","dimlabel"),M.select("text.dimlabel").attr("text-anchor","middle").attr("alignment-baseline","baseline").attr("cursor",(function(t){return"fixed"===t.parcatsViewModel.arrangement?"default":"ew-resize"})).attr("x",(function(t){return t.width/2})).attr("y",-5).text((function(t,e){return 0===e?t.parcatsViewModel.model.dimensions[t.model.dimensionInd].dimensionLabel:null})).each((function(t){u.font(n.select(this),t.parcatsViewModel.labelfont)})),M.selectAll("rect.bandrect").on("mouseover",L).on("mouseout",C),M.exit().remove(),A.call(n.behavior.drag().origin((function(t){return{x:t.x,y:0}})).on("dragstart",P).on("drag",O).on("dragend",I)),h.each((function(t){t.traceSelection=n.select(this),t.pathSelection=n.select(this).selectAll("g.paths").selectAll("path.path"),t.dimensionSelection=n.select(this).selectAll("g.dimensions").selectAll("g.dimension")})),h.exit().remove()}function p(t){return t.key}function d(t){var e=t.parcatsViewModel.dimensions.length,r=t.parcatsViewModel.dimensions[e-1].model.dimensionInd;return t.model.dimensionInd===r}function v(t,e){return t.model.rawColor>e.model.rawColor?1:t.model.rawColor"),L=n.mouse(f)[0];o.loneHover({trace:h,x:b-d.left+v.left,y:_-d.top+v.top,text:E,color:t.model.color,borderColor:"black",fontFamily:'Monaco, "Courier New", 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e=t.parcatsViewModel;e.dragDimension||(_(e.pathSelection),T(e.dimensionSelection.selectAll("g.category")),k(e.dimensionSelection.selectAll("g.category").selectAll("rect.bandrect")),o.loneUnhover(e.graphDiv._fullLayout._hoverlayer.node()),e.pathSelection.sort(v),-1!==e.hoverinfoItems.indexOf("skip"))||("color"===t.parcatsViewModel.hoveron?S(this,"plotly_unhover",n.event):M(this,"plotly_unhover",n.event))}function P(t){"fixed"!==t.parcatsViewModel.arrangement&&(t.dragDimensionDisplayInd=t.model.displayInd,t.initialDragDimensionDisplayInds=t.parcatsViewModel.model.dimensions.map((function(t){return t.displayInd})),t.dragHasMoved=!1,t.dragCategoryDisplayInd=null,n.select(this).selectAll("g.category").select("rect.catrect").each((function(e){var r=n.mouse(this)[0],i=n.mouse(this)[1];-2<=r&&r<=e.width+2&&-2<=i&&i<=e.height+2&&(t.dragCategoryDisplayInd=e.model.displayInd,t.initialDragCategoryDisplayInds=t.model.categories.map((function(t){return 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t,e,r=[];return{set:function(n){1===(r=n.map((function(t){return t.slice().sort(s)})).sort(A)).length&&r[0][0]===-1/0&&r[0][1]===1/0&&(r=[[0,-1]]),t=S(r),e=r.reduce((function(t,e){return[Math.min(t[0],e[0]),Math.max(t[1],e[1])]}),[1/0,-1/0])},get:function(){return r.slice()},getConsolidated:function(){return t},getBounds:function(){return e}}}();return l.set(r),{filter:l,filterSpecified:e,svgBrush:{extent:[],brushStartCallback:n,brushCallback:(o=i,function(t){var e=t.brush,r=function(t){return t.svgBrush.extent.map((function(t){return t.slice()}))}(e),n=r.slice();e.filter.set(n),o()}),brushEndCallback:a}}},ensureAxisBrush:function(t,e,r){var i=t.selectAll("."+n.cn.axisBrush).data(o,a);i.enter().append("g").classed(n.cn.axisBrush,!0),function(t,e,r){var 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n=e[0].trace;c[r]=n.index;var i=f[r]=n._fullInput.index;l[r]=t.data[i].dimensions,u[r]=t.data[i].dimensions.slice()})),n(t,e,{width:h.w,height:h.h,margin:{t:h.t,r:h.r,b:h.b,l:h.l}},{filterChanged:function(e,n,i){var a=u[e][n],o=i.map((function(t){return t.slice()})),s="dimensions["+n+"].constraintrange",l=r._tracePreGUI[t._fullData[c[e]]._fullInput.uid];if(void 0===l[s]){var h=a.constraintrange;l[s]=h||null}var p=t._fullData[c[e]].dimensions[n];o.length?(1===o.length&&(o=o[0]),a.constraintrange=o,p.constraintrange=o.slice(),o=[o]):(delete a.constraintrange,delete p.constraintrange,o=null);var d={};d[s]=o,t.emit("plotly_restyle",[d,[f[e]]])},hover:function(e){t.emit("plotly_hover",e)},unhover:function(e){t.emit("plotly_unhover",e)},axesMoved:function(e,r){var n=function(t,e){return function(r,n){return s(t,e,r)-s(t,e,n)}}(r,u[e].filter(a));l[e].sort(n),u[e].filter((function(t){return!a(t)})).sort((function(t){return 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n=r(45464),i=r(86968).u,a=r(25376),o=r(22548),s=r(21776).Ks,l=r(21776).Gw,u=r(92880).extendFlat,c=r(98192).c,f=a({editType:"plot",arrayOk:!0,colorEditType:"plot"});t.exports={labels:{valType:"data_array",editType:"calc"},label0:{valType:"number",dflt:0,editType:"calc"},dlabel:{valType:"number",dflt:1,editType:"calc"},values:{valType:"data_array",editType:"calc"},marker:{colors:{valType:"data_array",editType:"calc"},line:{color:{valType:"color",dflt:o.defaultLine,arrayOk:!0,editType:"style"},width:{valType:"number",min:0,dflt:0,arrayOk:!0,editType:"style"},editType:"calc"},pattern:c,editType:"calc"},text:{valType:"data_array",editType:"plot"},hovertext:{valType:"string",dflt:"",arrayOk:!0,editType:"style"},scalegroup:{valType:"string",dflt:"",editType:"calc"},textinfo:{valType:"flaglist",flags:["label","text","value","percent"],extras:["none"],editType:"calc"},hoverinfo:u({},n.hoverinfo,{flags:["label","text","value","percent","name"]}),hovertemplate:s({},{keys:["label","color","value","percent","text"]}),texttemplate:l({editType:"plot"},{keys:["label","color","value","percent","text"]}),textposition:{valType:"enumerated",values:["inside","outside","auto","none"],dflt:"auto",arrayOk:!0,editType:"plot"},textfont:u({},f,{}),insidetextorientation:{valType:"enumerated",values:["horizontal","radial","tangential","auto"],dflt:"auto",editType:"plot"},insidetextfont:u({},f,{}),outsidetextfont:u({},f,{}),automargin:{valType:"boolean",dflt:!1,editType:"plot"},title:{text:{valType:"string",dflt:"",editType:"plot"},font:u({},f,{}),position:{valType:"enumerated",values:["top 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n=r(38248),i=r(49760),a=r(76308),o={};function s(t){return function(e,r){return!!e&&!!(e=i(e)).isValid()&&(e=a.addOpacity(e,e.getAlpha()),t[r]||(t[r]=e),e)}}function l(t,e){var r,n=JSON.stringify(t),a=e[n];if(!a){for(a=t.slice(),r=0;r=0})),("funnelarea"===e.type?y:e.sort)&&a.sort((function(t,e){return e.v-t.v})),a[0]&&(a[0].vTotal=g),a},crossTraceCalc:function(t,e){var r=(e||{}).type;r||(r="pie");var n=t._fullLayout,i=t.calcdata,a=n[r+"colorway"],s=n["_"+r+"colormap"];n["extend"+r+"colors"]&&(a=l(a,o));for(var u=0,c=0;c0){s=!0;break}}s||(o=0)}return{hasLabels:r,hasValues:a,len:o}}function c(t,e,r,n,i){n("marker.line.width")&&n("marker.line.color",i?void 0:r.paper_bgcolor);var a=n("marker.colors");l(n,"marker.pattern",a),t.marker&&!e.marker.pattern.fgcolor&&(e.marker.pattern.fgcolor=t.marker.colors),e.marker.pattern.bgcolor||(e.marker.pattern.bgcolor=r.paper_bgcolor)}t.exports={handleLabelsAndValues:u,handleMarkerDefaults:c,supplyDefaults:function(t,e,r,n){function l(r,n){return i.coerce(t,e,a,r,n)}var f=u(l("labels"),l("values")),h=f.len;if(e._hasLabels=f.hasLabels,e._hasValues=f.hasValues,!e._hasLabels&&e._hasValues&&(l("label0"),l("dlabel")),h){e._length=h,c(t,e,n,l,!0),l("scalegroup");var p,d=l("text"),v=l("texttemplate");if(v||(p=l("textinfo",i.isArrayOrTypedArray(d)?"text+percent":"percent")),l("hovertext"),l("hovertemplate"),v||p&&"none"!==p){var g=l("textposition");s(t,e,n,l,g,{moduleHasSelected:!1,moduleHasUnselected:!1,moduleHasConstrain:!1,moduleHasCliponaxis:!1,moduleHasTextangle:!1,moduleHasInsideanchor:!1}),(Array.isArray(g)||"auto"===g||"outside"===g)&&l("automargin"),("inside"===g||"auto"===g||Array.isArray(g))&&l("insidetextorientation")}o(e,n,l);var y=l("hole");if(l("title.text")){var m=l("title.position",y?"middle center":"top center");y||"middle center"!==m||(e.title.position="top center"),i.coerceFont(l,"title.font",n.font)}l("sort"),l("direction"),l("rotation"),l("pull")}else e.visible=!1}}},53644:function(t,e,r){"use strict";var n=r(10624).appendArrayMultiPointValues;t.exports=function(t,e){var r={curveNumber:e.index,pointNumbers:t.pts,data:e._input,fullData:e,label:t.label,color:t.color,value:t.v,percent:t.percent,text:t.text,bbox:t.bbox,v:t.v};return 1===t.pts.length&&(r.pointNumber=r.i=t.pts[0]),n(r,e,t.pts),"funnelarea"===e.type&&(delete r.v,delete r.i),r}},21552:function(t,e,r){"use strict";var n=r(43616),i=r(76308);t.exports=function(t,e,r,a){var o=r.marker.pattern;o&&o.shape?n.pointStyle(t,r,a,e):i.fill(t,e.color)}},69656:function(t,e,r){"use strict";var n=r(3400);function i(t){return-1!==t.indexOf("e")?t.replace(/[.]?0+e/,"e"):-1!==t.indexOf(".")?t.replace(/[.]?0+$/,""):t}e.formatPiePercent=function(t,e){var r=i((100*t).toPrecision(3));return n.numSeparate(r,e)+"%"},e.formatPieValue=function(t,e){var r=i(t.toPrecision(10));return n.numSeparate(r,e)},e.getFirstFilled=function(t,e){if(n.isArrayOrTypedArray(t))for(var r=0;r"),name:f.hovertemplate||-1!==h.indexOf("name")?f.name:void 0,idealAlign:t.pxmid[0]<0?"left":"right",color:g.castOption(_.bgcolor,t.pts)||t.color,borderColor:g.castOption(_.bordercolor,t.pts),fontFamily:g.castOption(w.family,t.pts),fontSize:g.castOption(w.size,t.pts),fontColor:g.castOption(w.color,t.pts),nameLength:g.castOption(_.namelength,t.pts),textAlign:g.castOption(_.align,t.pts),hovertemplate:g.castOption(f.hovertemplate,t.pts),hovertemplateLabels:t,eventData:[y(t,f)]},{container:r._hoverlayer.node(),outerContainer:r._paper.node(),gd:e,inOut_bbox:T}),t.bbox=T[0],u._hasHoverLabel=!0}u._hasHoverEvent=!0,e.emit("plotly_hover",{points:[y(t,f)],event:n.event})}})),t.on("mouseout",(function(t){var r=e._fullLayout,i=e._fullData[u.index],o=n.select(this).datum();u._hasHoverEvent&&(t.originalEvent=n.event,e.emit("plotly_unhover",{points:[y(o,i)],event:n.event}),u._hasHoverEvent=!1),u._hasHoverLabel&&(a.loneUnhover(r._hoverlayer.node()),u._hasHoverLabel=!1)})),t.on("click",(function(t){var r=e._fullLayout,i=e._fullData[u.index];e._dragging||!1===r.hovermode||(e._hoverdata=[y(t,i)],a.click(e,n.event))}))}function b(t,e,r){var n=g.castOption(t.insidetextfont.color,e.pts);!n&&t._input.textfont&&(n=g.castOption(t._input.textfont.color,e.pts));var i=g.castOption(t.insidetextfont.family,e.pts)||g.castOption(t.textfont.family,e.pts)||r.family,a=g.castOption(t.insidetextfont.size,e.pts)||g.castOption(t.textfont.size,e.pts)||r.size;return{color:n||o.contrast(e.color),family:i,size:a}}function _(t,e){for(var r,n,i=0;ie&&e>n||r=-4;g-=2)y(Math.PI*g,"tan");for(g=4;g>=-4;g-=2)y(Math.PI*(g+1),"tan")}if(f||p){for(g=4;g>=-4;g-=2)y(Math.PI*(g+1.5),"rad");for(g=4;g>=-4;g-=2)y(Math.PI*(g+.5),"rad")}}if(s||d||f){var m=Math.sqrt(t.width*t.width+t.height*t.height);if((a={scale:i*n*2/m,rCenter:1-i,rotate:0}).textPosAngle=(e.startangle+e.stopangle)/2,a.scale>=1)return a;v.push(a)}(d||p)&&((a=T(t,n,o,l,u)).textPosAngle=(e.startangle+e.stopangle)/2,v.push(a)),(d||h)&&((a=k(t,n,o,l,u)).textPosAngle=(e.startangle+e.stopangle)/2,v.push(a));for(var x=0,b=0,_=0;_=1)break}return v[x]}function T(t,e,r,n,i){e=Math.max(0,e-2*v);var a=t.width/t.height,o=S(a,n,e,r);return{scale:2*o/t.height,rCenter:A(a,o/e),rotate:M(i)}}function k(t,e,r,n,i){e=Math.max(0,e-2*v);var a=t.height/t.width,o=S(a,n,e,r);return{scale:2*o/t.width,rCenter:A(a,o/e),rotate:M(i+Math.PI/2)}}function A(t,e){return Math.cos(e)-t*e}function M(t){return(180/Math.PI*t+720)%180-90}function S(t,e,r,n){var i=t+1/(2*Math.tan(e));return r*Math.min(1/(Math.sqrt(i*i+.5)+i),n/(Math.sqrt(t*t+n/2)+t))}function E(t,e){return t.v!==e.vTotal||e.trace.hole?Math.min(1/(1+1/Math.sin(t.halfangle)),t.ring/2):1}function L(t,e){var r=e.pxmid[0],n=e.pxmid[1],i=t.width/2,a=t.height/2;return r<0&&(i*=-1),n<0&&(a*=-1),{scale:1,rCenter:1,rotate:0,x:i+Math.abs(a)*(i>0?1:-1)/2,y:a/(1+r*r/(n*n)),outside:!0}}function C(t,e){var r,n,i,a=t.trace,o={x:t.cx,y:t.cy},s={tx:0,ty:0};s.ty+=a.title.font.size,i=O(a),-1!==a.title.position.indexOf("top")?(o.y-=(1+i)*t.r,s.ty-=t.titleBox.height):-1!==a.title.position.indexOf("bottom")&&(o.y+=(1+i)*t.r);var l,u=t.r/(void 0===(l=t.trace.aspectratio)?1:l),c=e.w*(a.domain.x[1]-a.domain.x[0])/2;return-1!==a.title.position.indexOf("left")?(c+=u,o.x-=(1+i)*u,s.tx+=t.titleBox.width/2):-1!==a.title.position.indexOf("center")?c*=2:-1!==a.title.position.indexOf("right")&&(c+=u,o.x+=(1+i)*u,s.tx-=t.titleBox.width/2),r=c/t.titleBox.width,n=P(t,e)/t.titleBox.height,{x:o.x,y:o.y,scale:Math.min(r,n),tx:s.tx,ty:s.ty}}function P(t,e){var r=t.trace,n=e.h*(r.domain.y[1]-r.domain.y[0]);return Math.min(t.titleBox.height,n/2)}function O(t){var e,r=t.pull;if(!r)return 0;if(l.isArrayOrTypedArray(r))for(r=0,e=0;er&&(r=t.pull[e]);return r}function I(t,e){for(var r=[],n=0;n1?c=(u=r.r)/i.aspectratio:u=(c=r.r)*i.aspectratio,l=(u*=(1+i.baseratio)/2)*c}o=Math.min(o,l/r.vTotal)}for(n=0;n")}if(a){var x=l.castOption(i,e.i,"texttemplate");if(x){var b=function(t){return{label:t.label,value:t.v,valueLabel:g.formatPieValue(t.v,n.separators),percent:t.v/r.vTotal,percentLabel:g.formatPiePercent(t.v/r.vTotal,n.separators),color:t.color,text:t.text,customdata:l.castOption(i,t.i,"customdata")}}(e),_=g.getFirstFilled(i.text,e.pts);(m(_)||""===_)&&(b.text=_),e.text=l.texttemplateString(x,b,t._fullLayout._d3locale,b,i._meta||{})}else e.text=""}}function R(t,e){var r=t.rotate*Math.PI/180,n=Math.cos(r),i=Math.sin(r),a=(e.left+e.right)/2,o=(e.top+e.bottom)/2;t.textX=a*n-o*i,t.textY=a*i+o*n,t.noCenter=!0}t.exports={plot:function(t,e){var r=t._context.staticPlot,a=t._fullLayout,h=a._size;d("pie",a),_(e,t),I(e,h);var v=l.makeTraceGroups(a._pielayer,e,"trace").each((function(e){var d=n.select(this),v=e[0],y=v.trace;!function(t){var e,r,n,i=t[0],a=i.r,o=i.trace,s=g.getRotationAngle(o.rotation),l=2*Math.PI/i.vTotal,u="px0",c="px1";if("counterclockwise"===o.direction){for(e=0;ei.vTotal/2?1:0,r.halfangle=Math.PI*Math.min(r.v/i.vTotal,.5),r.ring=1-o.hole,r.rInscribed=E(r,i))}(e),d.attr("stroke-linejoin","round"),d.each((function(){var m=n.select(this).selectAll("g.slice").data(e);m.enter().append("g").classed("slice",!0),m.exit().remove();var _=[[[],[]],[[],[]]],T=!1;m.each((function(i,o){if(i.hidden)n.select(this).selectAll("path,g").remove();else{i.pointNumber=i.i,i.curveNumber=y.index,_[i.pxmid[1]<0?0:1][i.pxmid[0]<0?0:1].push(i);var u=v.cx,c=v.cy,h=n.select(this),d=h.selectAll("path.surface").data([i]);if(d.enter().append("path").classed("surface",!0).style({"pointer-events":r?"none":"all"}),h.call(x,t,e),y.pull){var m=+g.castOption(y.pull,i.pts)||0;m>0&&(u+=m*i.pxmid[0],c+=m*i.pxmid[1])}i.cxFinal=u,i.cyFinal=c;var k=y.hole;if(i.v===v.vTotal){var A="M"+(u+i.px0[0])+","+(c+i.px0[1])+P(i.px0,i.pxmid,!0,1)+P(i.pxmid,i.px0,!0,1)+"Z";k?d.attr("d","M"+(u+k*i.px0[0])+","+(c+k*i.px0[1])+P(i.px0,i.pxmid,!1,k)+P(i.pxmid,i.px0,!1,k)+"Z"+A):d.attr("d",A)}else{var M=P(i.px0,i.px1,!0,1);if(k){var S=1-k;d.attr("d","M"+(u+k*i.px1[0])+","+(c+k*i.px1[1])+P(i.px1,i.px0,!1,k)+"l"+S*i.px0[0]+","+S*i.px0[1]+M+"Z")}else d.attr("d","M"+u+","+c+"l"+i.px0[0]+","+i.px0[1]+M+"Z")}z(t,i,v);var E=g.castOption(y.textposition,i.pts),C=h.selectAll("g.slicetext").data(i.text&&"none"!==E?[0]:[]);C.enter().append("g").classed("slicetext",!0),C.exit().remove(),C.each((function(){var r=l.ensureSingle(n.select(this),"text","",(function(t){t.attr("data-notex",1)})),h=l.ensureUniformFontSize(t,"outside"===E?function(t,e,r){return{color:g.castOption(t.outsidetextfont.color,e.pts)||g.castOption(t.textfont.color,e.pts)||r.color,family:g.castOption(t.outsidetextfont.family,e.pts)||g.castOption(t.textfont.family,e.pts)||r.family,size:g.castOption(t.outsidetextfont.size,e.pts)||g.castOption(t.textfont.size,e.pts)||r.size}}(y,i,a.font):b(y,i,a.font));r.text(i.text).attr({class:"slicetext",transform:"","text-anchor":"middle"}).call(s.font,h).call(f.convertToTspans,t);var d,m=s.bBox(r.node());if("outside"===E)d=L(m,i);else if(d=w(m,i,v),"auto"===E&&d.scale<1){var x=l.ensureUniformFontSize(t,y.outsidetextfont);r.call(s.font,x),d=L(m=s.bBox(r.node()),i)}var _=d.textPosAngle,k=void 0===_?i.pxmid:D(v.r,_);if(d.targetX=u+k[0]*d.rCenter+(d.x||0),d.targetY=c+k[1]*d.rCenter+(d.y||0),R(d,m),d.outside){var A=d.targetY;i.yLabelMin=A-m.height/2,i.yLabelMid=A,i.yLabelMax=A+m.height/2,i.labelExtraX=0,i.labelExtraY=0,T=!0}d.fontSize=h.size,p(y.type,d,a),e[o].transform=d,l.setTransormAndDisplay(r,d)}))}function P(t,e,r,n){var a=n*(e[0]-t[0]),o=n*(e[1]-t[1]);return"a"+n*v.r+","+n*v.r+" 0 "+i.largeArc+(r?" 1 ":" 0 ")+a+","+o}}));var k=n.select(this).selectAll("g.titletext").data(y.title.text?[0]:[]);if(k.enter().append("g").classed("titletext",!0),k.exit().remove(),k.each((function(){var e,r=l.ensureSingle(n.select(this),"text","",(function(t){t.attr("data-notex",1)})),i=y.title.text;y._meta&&(i=l.templateString(i,y._meta)),r.text(i).attr({class:"titletext",transform:"","text-anchor":"middle"}).call(s.font,y.title.font).call(f.convertToTspans,t),e="middle center"===y.title.position?function(t){var e=Math.sqrt(t.titleBox.width*t.titleBox.width+t.titleBox.height*t.titleBox.height);return{x:t.cx,y:t.cy,scale:t.trace.hole*t.r*2/e,tx:0,ty:-t.titleBox.height/2+t.trace.title.font.size}}(v):C(v,h),r.attr("transform",c(e.x,e.y)+u(Math.min(1,e.scale))+c(e.tx,e.ty))})),T&&function(t,e){var r,n,i,a,o,s,u,c,f,h,p,d,v;function y(t,e){return t.pxmid[1]-e.pxmid[1]}function m(t,e){return e.pxmid[1]-t.pxmid[1]}function x(t,r){r||(r={});var i,c,f,p,d=r.labelExtraY+(n?r.yLabelMax:r.yLabelMin),v=n?t.yLabelMin:t.yLabelMax,y=n?t.yLabelMax:t.yLabelMin,m=t.cyFinal+o(t.px0[1],t.px1[1]),x=d-v;if(x*u>0&&(t.labelExtraY=x),l.isArrayOrTypedArray(e.pull))for(c=0;c=(g.castOption(e.pull,f.pts)||0)||((t.pxmid[1]-f.pxmid[1])*u>0?(x=f.cyFinal+o(f.px0[1],f.px1[1])-v-t.labelExtraY)*u>0&&(t.labelExtraY+=x):(y+t.labelExtraY-m)*u>0&&(i=3*s*Math.abs(c-h.indexOf(t)),(p=f.cxFinal+a(f.px0[0],f.px1[0])+i-(t.cxFinal+t.pxmid[0])-t.labelExtraX)*s>0&&(t.labelExtraX+=p)))}for(n=0;n<2;n++)for(i=n?y:m,o=n?Math.max:Math.min,u=n?1:-1,r=0;r<2;r++){for(a=r?Math.max:Math.min,s=r?1:-1,(c=t[n][r]).sort(i),f=t[1-n][r],h=f.concat(c),d=[],p=0;pMath.abs(f)?s+="l"+f*t.pxmid[0]/t.pxmid[1]+","+f+"H"+(a+t.labelExtraX+u):s+="l"+t.labelExtraX+","+c+"v"+(f-c)+"h"+u}else s+="V"+(t.yLabelMid+t.labelExtraY)+"h"+u;l.ensureSingle(r,"path","textline").call(o.stroke,e.outsidetextfont.color).attr({"stroke-width":Math.min(2,e.outsidetextfont.size/8),d:s,fill:"none"})}else r.select("path.textline").remove()}))}(m,y),T&&y.automargin){var A=s.bBox(d.node()),M=y.domain,S=h.w*(M.x[1]-M.x[0]),E=h.h*(M.y[1]-M.y[0]),P=(.5*S-v.r)/h.w,O=(.5*E-v.r)/h.h;i.autoMargin(t,"pie."+y.uid+".automargin",{xl:M.x[0]-P,xr:M.x[1]+P,yb:M.y[0]-O,yt:M.y[1]+O,l:Math.max(v.cx-v.r-A.left,0),r:Math.max(A.right-(v.cx+v.r),0),b:Math.max(A.bottom-(v.cy+v.r),0),t:Math.max(v.cy-v.r-A.top,0),pad:5})}}))}));setTimeout((function(){v.selectAll("tspan").each((function(){var t=n.select(this);t.attr("dy")&&t.attr("dy",t.attr("dy"))}))}),0)},formatSliceLabel:z,transformInsideText:w,determineInsideTextFont:b,positionTitleOutside:C,prerenderTitles:_,layoutAreas:I,attachFxHandlers:x,computeTransform:R}},22152:function(t,e,r){"use strict";var n=r(33428),i=r(10528),a=r(82744).resizeText;t.exports=function(t){var e=t._fullLayout._pielayer.selectAll(".trace");a(t,e,"pie"),e.each((function(e){var r=e[0].trace,a=n.select(this);a.style({opacity:r.opacity}),a.selectAll("path.surface").each((function(e){n.select(this).call(i,e,r,t)}))}))}},10528:function(t,e,r){"use strict";var n=r(76308),i=r(69656).castOption,a=r(21552);t.exports=function(t,e,r,o){var s=r.marker.line,l=i(s.color,e.pts)||n.defaultLine,u=i(s.width,e.pts)||0;t.call(a,e,r,o).style("stroke-width",u).call(n.stroke,l)}},35484:function(t,e,r){"use strict";var n=r(52904);t.exports={x:n.x,y:n.y,xy:{valType:"data_array",editType:"calc"},indices:{valType:"data_array",editType:"calc"},xbounds:{valType:"data_array",editType:"calc"},ybounds:{valType:"data_array",editType:"calc"},text:n.text,marker:{color:{valType:"color",arrayOk:!1,editType:"calc"},opacity:{valType:"number",min:0,max:1,dflt:1,arrayOk:!1,editType:"calc"},blend:{valType:"boolean",dflt:null,editType:"calc"},sizemin:{valType:"number",min:.1,max:2,dflt:.5,editType:"calc"},sizemax:{valType:"number",min:.1,dflt:20,editType:"calc"},border:{color:{valType:"color",arrayOk:!1,editType:"calc"},arearatio:{valType:"number",min:0,max:1,dflt:0,editType:"calc"},editType:"calc"},editType:"calc"},transforms:void 0}},11072:function(t,e,r){"use strict";var n=r(67792).gl_pointcloud2d,i=r(3400).isArrayOrTypedArray,a=r(43080),o=r(19280).findExtremes,s=r(44928);function l(t,e){this.scene=t,this.uid=e,this.type="pointcloud",this.pickXData=[],this.pickYData=[],this.xData=[],this.yData=[],this.textLabels=[],this.color="rgb(0, 0, 0)",this.name="",this.hoverinfo="all",this.idToIndex=new Int32Array(0),this.bounds=[0,0,0,0],this.pointcloudOptions={positions:new Float32Array(0),idToIndex:this.idToIndex,sizemin:.5,sizemax:12,color:[0,0,0,1],areaRatio:1,borderColor:[0,0,0,1]},this.pointcloud=n(t.glplot,this.pointcloudOptions),this.pointcloud._trace=this}var u=l.prototype;u.handlePick=function(t){var e=this.idToIndex[t.pointId];return{trace:this,dataCoord:t.dataCoord,traceCoord:this.pickXYData?[this.pickXYData[2*e],this.pickXYData[2*e+1]]:[this.pickXData[e],this.pickYData[e]],textLabel:i(this.textLabels)?this.textLabels[e]:this.textLabels,color:this.color,name:this.name,pointIndex:e,hoverinfo:this.hoverinfo}},u.update=function(t){this.index=t.index,this.textLabels=t.text,this.name=t.name,this.hoverinfo=t.hoverinfo,this.bounds=[1/0,1/0,-1/0,-1/0],this.updateFast(t),this.color=s(t,{})},u.updateFast=function(t){var e,r,n,i,s,l,u=this.xData=this.pickXData=t.x,c=this.yData=this.pickYData=t.y,f=this.pickXYData=t.xy,h=t.xbounds&&t.ybounds,p=t.indices,d=this.bounds;if(f){if(n=f,e=f.length>>>1,h)d[0]=t.xbounds[0],d[2]=t.xbounds[1],d[1]=t.ybounds[0],d[3]=t.ybounds[1];else for(l=0;ld[2]&&(d[2]=i),sd[3]&&(d[3]=s);if(p)r=p;else for(r=new Int32Array(e),l=0;ld[2]&&(d[2]=i),sd[3]&&(d[3]=s);this.idToIndex=r,this.pointcloudOptions.idToIndex=r,this.pointcloudOptions.positions=n;var 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s(t,e,r,n){this.type="scattermapbox",this.subplot=t,this.uid=e,this.clusterEnabled=r,this.isHidden=n,this.sourceIds={fill:"source-"+e+"-fill",line:"source-"+e+"-line",circle:"source-"+e+"-circle",symbol:"source-"+e+"-symbol",cluster:"source-"+e+"-circle",clusterCount:"source-"+e+"-circle"},this.layerIds={fill:a+e+"-fill",line:a+e+"-line",circle:a+e+"-circle",symbol:a+e+"-symbol",cluster:a+e+"-cluster",clusterCount:a+e+"-cluster-count"},this.below=null}var l=s.prototype;l.addSource=function(t,e,r){var i={type:"geojson",data:e.geojson};r&&r.enabled&&n.extendFlat(i,{cluster:!0,clusterMaxZoom:r.maxzoom});var a=this.subplot.map.getSource(this.sourceIds[t]);a?a.setData(e.geojson):this.subplot.map.addSource(this.sourceIds[t],i)},l.setSourceData=function(t,e){this.subplot.map.getSource(this.sourceIds[t]).setData(e.geojson)},l.addLayer=function(t,e,r){var n={type:e.type,id:this.layerIds[t],source:this.sourceIds[t],layout:e.layout,paint:e.paint};e.filter&&(n.filter=e.filter);for(var i,a=this.layerIds[t],o=this.subplot.getMapLayers(),s=0;s=0;r--){var i=e[r];n.removeLayer(c.layerIds[i])}t||n.removeSource(c.sourceIds.circle)}(t):function(t){for(var e=o.nonCluster,r=e.length-1;r>=0;r--){var i=e[r];n.removeLayer(c.layerIds[i]),t||n.removeSource(c.sourceIds[i])}}(t)}function h(t){l?function(t){t||c.addSource("circle",a.circle,e.cluster);for(var r=o.cluster,n=0;n=0;r--){var n=e[r];t.removeLayer(this.layerIds[n]),t.removeSource(this.sourceIds[n])}},t.exports=function(t,e){var r,n,a,l=e[0].trace,u=l.cluster&&l.cluster.enabled,c=!0!==l.visible,f=new s(t,l.uid,u,c),h=i(t.gd,e),p=f.below=t.belowLookup["trace-"+l.uid];if(u)for(f.addSource("circle",h.circle,l.cluster),r=0;r")}}t.exports={hoverPoints:function(t,e,r,a){var o=n(t,e,r,a);if(o&&!1!==o[0].index){var s=o[0];if(void 0===s.index)return o;var l=t.subplot,u=s.cd[s.index],c=s.trace;if(l.isPtInside(u))return s.xLabelVal=void 0,s.yLabelVal=void 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n=r(47128);t.exports=function(t,e){e.surfacecolor?n(t,e,{vals:e.surfacecolor,containerStr:"",cLetter:"c"}):n(t,e,{vals:e.z,containerStr:"",cLetter:"c"})}},79164:function(t,e,r){"use strict";var n=r(67792).gl_surface3d,i=r(67792).ndarray,a=r(67792).ndarray_linear_interpolate.d2,o=r(70448),s=r(11240),l=r(3400).isArrayOrTypedArray,u=r(33040).parseColorScale,c=r(43080),f=r(8932).extractOpts;function h(t,e,r){this.scene=t,this.uid=r,this.surface=e,this.data=null,this.showContour=[!1,!1,!1],this.contourStart=[null,null,null],this.contourEnd=[null,null,null],this.contourSize=[0,0,0],this.minValues=[1/0,1/0,1/0],this.maxValues=[-1/0,-1/0,-1/0],this.dataScaleX=1,this.dataScaleY=1,this.refineData=!0,this.objectOffset=[0,0,0]}var p=h.prototype;p.getXat=function(t,e,r,n){var i=l(this.data.x)?l(this.data.x[0])?this.data.x[e][t]:this.data.x[t]:t;return void 0===r?i:n.d2l(i,0,r)},p.getYat=function(t,e,r,n){var i=l(this.data.y)?l(this.data.y[0])?this.data.y[e][t]:this.data.y[e]:e;return void 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r=c(e.cells.values),o=function(t){return t.slice(e.header.values.length,t.length)},v=c(e.header.values);v.length&&!v[0].length&&(v[0]=[""],v=c(v));var g=v.concat(o(r).map((function(){return f((v[0]||[""]).length)}))),y=e.domain,m=Math.floor(t._fullLayout._size.w*(y.x[1]-y.x[0])),x=Math.floor(t._fullLayout._size.h*(y.y[1]-y.y[0])),b=e.header.values.length?g[0].map((function(){return e.header.height})):[n.emptyHeaderHeight],_=r.length?r[0].map((function(){return e.cells.height})):[],w=b.reduce(u,0),T=d(_,x-w+n.uplift),k=p(d(b,w),[]),A=p(T,k),M={},S=e._fullInput.columnorder;s(S)&&(S=Array.from(S)),S=S.concat(o(r.map((function(t,e){return e}))));var E=g.map((function(t,r){var n=s(e.columnwidth)?e.columnwidth[Math.min(r,e.columnwidth.length-1)]:e.columnwidth;return a(n)?Number(n):1})),L=E.reduce(u,0);E=E.map((function(t){return t/L*m}));var C=Math.max(l(e.header.line.width),l(e.cells.line.width)),P={key:e.uid+t._context.staticPlot,translateX:y.x[0]*t._fullLayout._size.w,translateY:t._fullLayout._size.h*(1-y.y[1]),size:t._fullLayout._size,width:m,maxLineWidth:C,height:x,columnOrder:S,groupHeight:x,rowBlocks:A,headerRowBlocks:k,scrollY:0,cells:i({},e.cells,{values:r}),headerCells:i({},e.header,{values:g}),gdColumns:g.map((function(t){return t[0]})),gdColumnsOriginalOrder:g.map((function(t){return t[0]})),prevPages:[0,0],scrollbarState:{scrollbarScrollInProgress:!1},columns:g.map((function(t,e){var r=M[t];return M[t]=(r||0)+1,{key:t+"__"+M[t],label:t,specIndex:e,xIndex:S[e],xScale:h,x:void 0,calcdata:void 0,columnWidth:E[e]}}))};return P.columns.forEach((function(t){t.calcdata=P,t.x=h(t)})),P}},53056:function(t,e,r){"use strict";var n=r(92880).extendFlat;e.splitToPanels=function(t){var e=[0,0],r=n({},t,{key:"header",type:"header",page:0,prevPages:e,currentRepaint:[null,null],dragHandle:!0,values:t.calcdata.headerCells.values[t.specIndex],rowBlocks:t.calcdata.headerRowBlocks,calcdata:n({},t.calcdata,{cells:t.calcdata.headerCells})});return[n({},t,{key:"cells1",type:"cells",page:0,prevPages:e,currentRepaint:[null,null],dragHandle:!1,values:t.calcdata.cells.values[t.specIndex],rowBlocks:t.calcdata.rowBlocks}),n({},t,{key:"cells2",type:"cells",page:1,prevPages:e,currentRepaint:[null,null],dragHandle:!1,values:t.calcdata.cells.values[t.specIndex],rowBlocks:t.calcdata.rowBlocks}),r]},e.splitToCells=function(t){var e=function(t){var e=t.rowBlocks[t.page],r=e?e.rows[0].rowIndex:0;return[r,e?r+e.rows.length:0]}(t);return(t.values||[]).slice(e[0],e[1]).map((function(r,n){return{keyWithinBlock:n+("string"==typeof r&&r.match(/[<$&> 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f,h,p=c?"":k(t.calcdata.cells.prefix,e,r)||"",d=c?"":k(t.calcdata.cells.suffix,e,r)||"",v=c?null:k(t.calcdata.cells.format,e,r)||null,g=p+(v?o(v)(t.value):t.value)+d;if(t.wrappingNeeded=!t.wrapped&&!l&&!c&&(f=T(g)),t.cellHeightMayIncrease=s||c||t.mayHaveMarkup||(void 0===f?T(g):f),t.needsConvertToTspans=t.mayHaveMarkup||t.wrappingNeeded||t.latex,t.wrappingNeeded){var y=(" "===n.wrapSplitCharacter?g.replace(/i&&n.push(a),i+=l}return n}(i,l,s);1===u.length&&(u[0]===i.length-1?u.unshift(u[0]-1):u.push(u[0]+1)),u[0]%2&&u.reverse(),e.each((function(t,e){t.page=u[e],t.scrollY=l})),e.attr("transform",(function(t){var e=R(t.rowBlocks,t.page)-t.scrollY;return f(0,e)})),t&&(P(t,r,e,u,n.prevPages,n,0),P(t,r,e,u,n.prevPages,n,1),b(r,t))}}function C(t,e,r,a){return function(o){var s=o.calcdata?o.calcdata:o,l=e.filter((function(t){return s.key===t.key})),u=r||s.scrollbarState.dragMultiplier,c=s.scrollY;s.scrollY=void 0===a?s.scrollY+u*i.event.dy:a;var 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t&&t>=0);var e=0|Math.ceil(t/26),r=t%26;this._expand(e),r>0&&e--;for(var i=0;i0&&(this.words[i]=~this.words[i]&67108863>>26-r),this.strip()},a.prototype.notn=function(t){return this.clone().inotn(t)},a.prototype.setn=function(t,e){n("number"==typeof t&&t>=0);var r=t/26|0,i=t%26;return this._expand(r+1),this.words[r]=e?this.words[r]|1<t.length?(r=this,n=t):(r=t,n=this);for(var i=0,a=0;a>>26;for(;0!==i&&a>>26;if(this.length=r.length,0!==i)this.words[this.length]=i,this.length++;else if(r!==this)for(;at.length?this.clone().iadd(t):t.clone().iadd(this)},a.prototype.isub=function(t){if(0!==t.negative){t.negative=0;var e=this.iadd(t);return t.negative=1,e._normSign()}if(0!==this.negative)return this.negative=0,this.iadd(t),this.negative=1,this._normSign();var r,n,i=this.cmp(t);if(0===i)return this.negative=0,this.length=1,this.words[0]=0,this;i>0?(r=this,n=t):(r=t,n=this);for(var 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yt=(u+(n=n+Math.imul(f,H)|0)|0)+((8191&(i=(i=i+Math.imul(f,G)|0)+Math.imul(h,H)|0))<<13)|0;u=((a=a+Math.imul(h,G)|0)+(i>>>13)|0)+(yt>>>26)|0,yt&=67108863,n=Math.imul(y,U),i=(i=Math.imul(y,V))+Math.imul(m,U)|0,a=Math.imul(m,V),n=n+Math.imul(d,H)|0,i=(i=i+Math.imul(d,G)|0)+Math.imul(v,H)|0,a=a+Math.imul(v,G)|0;var mt=(u+(n=n+Math.imul(f,Y)|0)|0)+((8191&(i=(i=i+Math.imul(f,X)|0)+Math.imul(h,Y)|0))<<13)|0;u=((a=a+Math.imul(h,X)|0)+(i>>>13)|0)+(mt>>>26)|0,mt&=67108863,n=Math.imul(b,U),i=(i=Math.imul(b,V))+Math.imul(_,U)|0,a=Math.imul(_,V),n=n+Math.imul(y,H)|0,i=(i=i+Math.imul(y,G)|0)+Math.imul(m,H)|0,a=a+Math.imul(m,G)|0,n=n+Math.imul(d,Y)|0,i=(i=i+Math.imul(d,X)|0)+Math.imul(v,Y)|0,a=a+Math.imul(v,X)|0;var xt=(u+(n=n+Math.imul(f,K)|0)|0)+((8191&(i=(i=i+Math.imul(f,J)|0)+Math.imul(h,K)|0))<<13)|0;u=((a=a+Math.imul(h,J)|0)+(i>>>13)|0)+(xt>>>26)|0,xt&=67108863,n=Math.imul(T,U),i=(i=Math.imul(T,V))+Math.imul(k,U)|0,a=Math.imul(k,V),n=n+Math.imul(b,H)|0,i=(i=i+Math.imul(b,G)|0)+Math.imul(_,H)|0,a=a+Math.imul(_,G)|0,n=n+Math.imul(y,Y)|0,i=(i=i+Math.imul(y,X)|0)+Math.imul(m,Y)|0,a=a+Math.imul(m,X)|0,n=n+Math.imul(d,K)|0,i=(i=i+Math.imul(d,J)|0)+Math.imul(v,K)|0,a=a+Math.imul(v,J)|0;var bt=(u+(n=n+Math.imul(f,Q)|0)|0)+((8191&(i=(i=i+Math.imul(f,tt)|0)+Math.imul(h,Q)|0))<<13)|0;u=((a=a+Math.imul(h,tt)|0)+(i>>>13)|0)+(bt>>>26)|0,bt&=67108863,n=Math.imul(M,U),i=(i=Math.imul(M,V))+Math.imul(S,U)|0,a=Math.imul(S,V),n=n+Math.imul(T,H)|0,i=(i=i+Math.imul(T,G)|0)+Math.imul(k,H)|0,a=a+Math.imul(k,G)|0,n=n+Math.imul(b,Y)|0,i=(i=i+Math.imul(b,X)|0)+Math.imul(_,Y)|0,a=a+Math.imul(_,X)|0,n=n+Math.imul(y,K)|0,i=(i=i+Math.imul(y,J)|0)+Math.imul(m,K)|0,a=a+Math.imul(m,J)|0,n=n+Math.imul(d,Q)|0,i=(i=i+Math.imul(d,tt)|0)+Math.imul(v,Q)|0,a=a+Math.imul(v,tt)|0;var _t=(u+(n=n+Math.imul(f,rt)|0)|0)+((8191&(i=(i=i+Math.imul(f,nt)|0)+Math.imul(h,rt)|0))<<13)|0;u=((a=a+Math.imul(h,nt)|0)+(i>>>13)|0)+(_t>>>26)|0,_t&=67108863,n=Math.imul(L,U),i=(i=Math.imul(L,V))+Math.imul(C,U)|0,a=Math.imul(C,V),n=n+Math.imul(M,H)|0,i=(i=i+Math.imul(M,G)|0)+Math.imul(S,H)|0,a=a+Math.imul(S,G)|0,n=n+Math.imul(T,Y)|0,i=(i=i+Math.imul(T,X)|0)+Math.imul(k,Y)|0,a=a+Math.imul(k,X)|0,n=n+Math.imul(b,K)|0,i=(i=i+Math.imul(b,J)|0)+Math.imul(_,K)|0,a=a+Math.imul(_,J)|0,n=n+Math.imul(y,Q)|0,i=(i=i+Math.imul(y,tt)|0)+Math.imul(m,Q)|0,a=a+Math.imul(m,tt)|0,n=n+Math.imul(d,rt)|0,i=(i=i+Math.imul(d,nt)|0)+Math.imul(v,rt)|0,a=a+Math.imul(v,nt)|0;var wt=(u+(n=n+Math.imul(f,at)|0)|0)+((8191&(i=(i=i+Math.imul(f,ot)|0)+Math.imul(h,at)|0))<<13)|0;u=((a=a+Math.imul(h,ot)|0)+(i>>>13)|0)+(wt>>>26)|0,wt&=67108863,n=Math.imul(O,U),i=(i=Math.imul(O,V))+Math.imul(I,U)|0,a=Math.imul(I,V),n=n+Math.imul(L,H)|0,i=(i=i+Math.imul(L,G)|0)+Math.imul(C,H)|0,a=a+Math.imul(C,G)|0,n=n+Math.imul(M,Y)|0,i=(i=i+Math.imul(M,X)|0)+Math.imul(S,Y)|0,a=a+Math.imul(S,X)|0,n=n+Math.imul(T,K)|0,i=(i=i+Math.imul(T,J)|0)+Math.imul(k,K)|0,a=a+Math.imul(k,J)|0,n=n+Math.imul(b,Q)|0,i=(i=i+Math.imul(b,tt)|0)+Math.imul(_,Q)|0,a=a+Math.imul(_,tt)|0,n=n+Math.imul(y,rt)|0,i=(i=i+Math.imul(y,nt)|0)+Math.imul(m,rt)|0,a=a+Math.imul(m,nt)|0,n=n+Math.imul(d,at)|0,i=(i=i+Math.imul(d,ot)|0)+Math.imul(v,at)|0,a=a+Math.imul(v,ot)|0;var Tt=(u+(n=n+Math.imul(f,lt)|0)|0)+((8191&(i=(i=i+Math.imul(f,ut)|0)+Math.imul(h,lt)|0))<<13)|0;u=((a=a+Math.imul(h,ut)|0)+(i>>>13)|0)+(Tt>>>26)|0,Tt&=67108863,n=Math.imul(z,U),i=(i=Math.imul(z,V))+Math.imul(R,U)|0,a=Math.imul(R,V),n=n+Math.imul(O,H)|0,i=(i=i+Math.imul(O,G)|0)+Math.imul(I,H)|0,a=a+Math.imul(I,G)|0,n=n+Math.imul(L,Y)|0,i=(i=i+Math.imul(L,X)|0)+Math.imul(C,Y)|0,a=a+Math.imul(C,X)|0,n=n+Math.imul(M,K)|0,i=(i=i+Math.imul(M,J)|0)+Math.imul(S,K)|0,a=a+Math.imul(S,J)|0,n=n+Math.imul(T,Q)|0,i=(i=i+Math.imul(T,tt)|0)+Math.imul(k,Q)|0,a=a+Math.imul(k,tt)|0,n=n+Math.imul(b,rt)|0,i=(i=i+Math.imul(b,nt)|0)+Math.imul(_,rt)|0,a=a+Math.imul(_,nt)|0,n=n+Math.imul(y,at)|0,i=(i=i+Math.imul(y,ot)|0)+Math.imul(m,at)|0,a=a+Math.imul(m,ot)|0,n=n+Math.imul(d,lt)|0,i=(i=i+Math.imul(d,ut)|0)+Math.imul(v,lt)|0,a=a+Math.imul(v,ut)|0;var kt=(u+(n=n+Math.imul(f,ft)|0)|0)+((8191&(i=(i=i+Math.imul(f,ht)|0)+Math.imul(h,ft)|0))<<13)|0;u=((a=a+Math.imul(h,ht)|0)+(i>>>13)|0)+(kt>>>26)|0,kt&=67108863,n=Math.imul(B,U),i=(i=Math.imul(B,V))+Math.imul(N,U)|0,a=Math.imul(N,V),n=n+Math.imul(z,H)|0,i=(i=i+Math.imul(z,G)|0)+Math.imul(R,H)|0,a=a+Math.imul(R,G)|0,n=n+Math.imul(O,Y)|0,i=(i=i+Math.imul(O,X)|0)+Math.imul(I,Y)|0,a=a+Math.imul(I,X)|0,n=n+Math.imul(L,K)|0,i=(i=i+Math.imul(L,J)|0)+Math.imul(C,K)|0,a=a+Math.imul(C,J)|0,n=n+Math.imul(M,Q)|0,i=(i=i+Math.imul(M,tt)|0)+Math.imul(S,Q)|0,a=a+Math.imul(S,tt)|0,n=n+Math.imul(T,rt)|0,i=(i=i+Math.imul(T,nt)|0)+Math.imul(k,rt)|0,a=a+Math.imul(k,nt)|0,n=n+Math.imul(b,at)|0,i=(i=i+Math.imul(b,ot)|0)+Math.imul(_,at)|0,a=a+Math.imul(_,ot)|0,n=n+Math.imul(y,lt)|0,i=(i=i+Math.imul(y,ut)|0)+Math.imul(m,lt)|0,a=a+Math.imul(m,ut)|0,n=n+Math.imul(d,ft)|0,i=(i=i+Math.imul(d,ht)|0)+Math.imul(v,ft)|0,a=a+Math.imul(v,ht)|0;var At=(u+(n=n+Math.imul(f,dt)|0)|0)+((8191&(i=(i=i+Math.imul(f,vt)|0)+Math.imul(h,dt)|0))<<13)|0;u=((a=a+Math.imul(h,vt)|0)+(i>>>13)|0)+(At>>>26)|0,At&=67108863,n=Math.imul(B,H),i=(i=Math.imul(B,G))+Math.imul(N,H)|0,a=Math.imul(N,G),n=n+Math.imul(z,Y)|0,i=(i=i+Math.imul(z,X)|0)+Math.imul(R,Y)|0,a=a+Math.imul(R,X)|0,n=n+Math.imul(O,K)|0,i=(i=i+Math.imul(O,J)|0)+Math.imul(I,K)|0,a=a+Math.imul(I,J)|0,n=n+Math.imul(L,Q)|0,i=(i=i+Math.imul(L,tt)|0)+Math.imul(C,Q)|0,a=a+Math.imul(C,tt)|0,n=n+Math.imul(M,rt)|0,i=(i=i+Math.imul(M,nt)|0)+Math.imul(S,rt)|0,a=a+Math.imul(S,nt)|0,n=n+Math.imul(T,at)|0,i=(i=i+Math.imul(T,ot)|0)+Math.imul(k,at)|0,a=a+Math.imul(k,ot)|0,n=n+Math.imul(b,lt)|0,i=(i=i+Math.imul(b,ut)|0)+Math.imul(_,lt)|0,a=a+Math.imul(_,ut)|0,n=n+Math.imul(y,ft)|0,i=(i=i+Math.imul(y,ht)|0)+Math.imul(m,ft)|0,a=a+Math.imul(m,ht)|0;var Mt=(u+(n=n+Math.imul(d,dt)|0)|0)+((8191&(i=(i=i+Math.imul(d,vt)|0)+Math.imul(v,dt)|0))<<13)|0;u=((a=a+Math.imul(v,vt)|0)+(i>>>13)|0)+(Mt>>>26)|0,Mt&=67108863,n=Math.imul(B,Y),i=(i=Math.imul(B,X))+Math.imul(N,Y)|0,a=Math.imul(N,X),n=n+Math.imul(z,K)|0,i=(i=i+Math.imul(z,J)|0)+Math.imul(R,K)|0,a=a+Math.imul(R,J)|0,n=n+Math.imul(O,Q)|0,i=(i=i+Math.imul(O,tt)|0)+Math.imul(I,Q)|0,a=a+Math.imul(I,tt)|0,n=n+Math.imul(L,rt)|0,i=(i=i+Math.imul(L,nt)|0)+Math.imul(C,rt)|0,a=a+Math.imul(C,nt)|0,n=n+Math.imul(M,at)|0,i=(i=i+Math.imul(M,ot)|0)+Math.imul(S,at)|0,a=a+Math.imul(S,ot)|0,n=n+Math.imul(T,lt)|0,i=(i=i+Math.imul(T,ut)|0)+Math.imul(k,lt)|0,a=a+Math.imul(k,ut)|0,n=n+Math.imul(b,ft)|0,i=(i=i+Math.imul(b,ht)|0)+Math.imul(_,ft)|0,a=a+Math.imul(_,ht)|0;var St=(u+(n=n+Math.imul(y,dt)|0)|0)+((8191&(i=(i=i+Math.imul(y,vt)|0)+Math.imul(m,dt)|0))<<13)|0;u=((a=a+Math.imul(m,vt)|0)+(i>>>13)|0)+(St>>>26)|0,St&=67108863,n=Math.imul(B,K),i=(i=Math.imul(B,J))+Math.imul(N,K)|0,a=Math.imul(N,J),n=n+Math.imul(z,Q)|0,i=(i=i+Math.imul(z,tt)|0)+Math.imul(R,Q)|0,a=a+Math.imul(R,tt)|0,n=n+Math.imul(O,rt)|0,i=(i=i+Math.imul(O,nt)|0)+Math.imul(I,rt)|0,a=a+Math.imul(I,nt)|0,n=n+Math.imul(L,at)|0,i=(i=i+Math.imul(L,ot)|0)+Math.imul(C,at)|0,a=a+Math.imul(C,ot)|0,n=n+Math.imul(M,lt)|0,i=(i=i+Math.imul(M,ut)|0)+Math.imul(S,lt)|0,a=a+Math.imul(S,ut)|0,n=n+Math.imul(T,ft)|0,i=(i=i+Math.imul(T,ht)|0)+Math.imul(k,ft)|0,a=a+Math.imul(k,ht)|0;var Et=(u+(n=n+Math.imul(b,dt)|0)|0)+((8191&(i=(i=i+Math.imul(b,vt)|0)+Math.imul(_,dt)|0))<<13)|0;u=((a=a+Math.imul(_,vt)|0)+(i>>>13)|0)+(Et>>>26)|0,Et&=67108863,n=Math.imul(B,Q),i=(i=Math.imul(B,tt))+Math.imul(N,Q)|0,a=Math.imul(N,tt),n=n+Math.imul(z,rt)|0,i=(i=i+Math.imul(z,nt)|0)+Math.imul(R,rt)|0,a=a+Math.imul(R,nt)|0,n=n+Math.imul(O,at)|0,i=(i=i+Math.imul(O,ot)|0)+Math.imul(I,at)|0,a=a+Math.imul(I,ot)|0,n=n+Math.imul(L,lt)|0,i=(i=i+Math.imul(L,ut)|0)+Math.imul(C,lt)|0,a=a+Math.imul(C,ut)|0,n=n+Math.imul(M,ft)|0,i=(i=i+Math.imul(M,ht)|0)+Math.imul(S,ft)|0,a=a+Math.imul(S,ht)|0;var Lt=(u+(n=n+Math.imul(T,dt)|0)|0)+((8191&(i=(i=i+Math.imul(T,vt)|0)+Math.imul(k,dt)|0))<<13)|0;u=((a=a+Math.imul(k,vt)|0)+(i>>>13)|0)+(Lt>>>26)|0,Lt&=67108863,n=Math.imul(B,rt),i=(i=Math.imul(B,nt))+Math.imul(N,rt)|0,a=Math.imul(N,nt),n=n+Math.imul(z,at)|0,i=(i=i+Math.imul(z,ot)|0)+Math.imul(R,at)|0,a=a+Math.imul(R,ot)|0,n=n+Math.imul(O,lt)|0,i=(i=i+Math.imul(O,ut)|0)+Math.imul(I,lt)|0,a=a+Math.imul(I,ut)|0,n=n+Math.imul(L,ft)|0,i=(i=i+Math.imul(L,ht)|0)+Math.imul(C,ft)|0,a=a+Math.imul(C,ht)|0;var Ct=(u+(n=n+Math.imul(M,dt)|0)|0)+((8191&(i=(i=i+Math.imul(M,vt)|0)+Math.imul(S,dt)|0))<<13)|0;u=((a=a+Math.imul(S,vt)|0)+(i>>>13)|0)+(Ct>>>26)|0,Ct&=67108863,n=Math.imul(B,at),i=(i=Math.imul(B,ot))+Math.imul(N,at)|0,a=Math.imul(N,ot),n=n+Math.imul(z,lt)|0,i=(i=i+Math.imul(z,ut)|0)+Math.imul(R,lt)|0,a=a+Math.imul(R,ut)|0,n=n+Math.imul(O,ft)|0,i=(i=i+Math.imul(O,ht)|0)+Math.imul(I,ft)|0,a=a+Math.imul(I,ht)|0;var Pt=(u+(n=n+Math.imul(L,dt)|0)|0)+((8191&(i=(i=i+Math.imul(L,vt)|0)+Math.imul(C,dt)|0))<<13)|0;u=((a=a+Math.imul(C,vt)|0)+(i>>>13)|0)+(Pt>>>26)|0,Pt&=67108863,n=Math.imul(B,lt),i=(i=Math.imul(B,ut))+Math.imul(N,lt)|0,a=Math.imul(N,ut),n=n+Math.imul(z,ft)|0,i=(i=i+Math.imul(z,ht)|0)+Math.imul(R,ft)|0,a=a+Math.imul(R,ht)|0;var Ot=(u+(n=n+Math.imul(O,dt)|0)|0)+((8191&(i=(i=i+Math.imul(O,vt)|0)+Math.imul(I,dt)|0))<<13)|0;u=((a=a+Math.imul(I,vt)|0)+(i>>>13)|0)+(Ot>>>26)|0,Ot&=67108863,n=Math.imul(B,ft),i=(i=Math.imul(B,ht))+Math.imul(N,ft)|0,a=Math.imul(N,ht);var It=(u+(n=n+Math.imul(z,dt)|0)|0)+((8191&(i=(i=i+Math.imul(z,vt)|0)+Math.imul(R,dt)|0))<<13)|0;u=((a=a+Math.imul(R,vt)|0)+(i>>>13)|0)+(It>>>26)|0,It&=67108863;var Dt=(u+(n=Math.imul(B,dt))|0)+((8191&(i=(i=Math.imul(B,vt))+Math.imul(N,dt)|0))<<13)|0;return u=((a=Math.imul(N,vt))+(i>>>13)|0)+(Dt>>>26)|0,Dt&=67108863,l[0]=gt,l[1]=yt,l[2]=mt,l[3]=xt,l[4]=bt,l[5]=_t,l[6]=wt,l[7]=Tt,l[8]=kt,l[9]=At,l[10]=Mt,l[11]=St,l[12]=Et,l[13]=Lt,l[14]=Ct,l[15]=Pt,l[16]=Ot,l[17]=It,l[18]=Dt,0!==u&&(l[19]=u,r.length++),r};function v(t,e,r){return(new g).mulp(t,e,r)}function g(t,e){this.x=t,this.y=e}Math.imul||(d=p),a.prototype.mulTo=function(t,e){var r,n=this.length+t.length;return r=10===this.length&&10===t.length?d(this,t,e):n<63?p(this,t,e):n<1024?function(t,e,r){r.negative=e.negative^t.negative,r.length=t.length+e.length;for(var n=0,i=0,a=0;a>>26)|0)>>>26,o&=67108863}r.words[a]=s,n=o,o=i}return 0!==n?r.words[a]=n:r.length--,r.strip()}(this,t,e):v(this,t,e),r},g.prototype.makeRBT=function(t){for(var e=new Array(t),r=a.prototype._countBits(t)-1,n=0;n>=1;return n},g.prototype.permute=function(t,e,r,n,i,a){for(var o=0;o>>=1)i++;return 1<>>=13,r[2*o+1]=8191&a,a>>>=13;for(o=2*e;o>=26,e+=i/67108864|0,e+=a>>>26,this.words[r]=67108863&a}return 0!==e&&(this.words[r]=e,this.length++),this},a.prototype.muln=function(t){return this.clone().imuln(t)},a.prototype.sqr=function(){return this.mul(this)},a.prototype.isqr=function(){return this.imul(this.clone())},a.prototype.pow=function(t){var e=function(t){for(var e=new Array(t.bitLength()),r=0;r>>i}return e}(t);if(0===e.length)return new a(1);for(var r=this,n=0;n=0);var e,r=t%26,i=(t-r)/26,a=67108863>>>26-r<<26-r;if(0!==r){var o=0;for(e=0;e>>26-r}o&&(this.words[e]=o,this.length++)}if(0!==i){for(e=this.length-1;e>=0;e--)this.words[e+i]=this.words[e];for(e=0;e=0),i=e?(e-e%26)/26:0;var a=t%26,o=Math.min((t-a)/26,this.length),s=67108863^67108863>>>a<o)for(this.length-=o,u=0;u=0&&(0!==c||u>=i);u--){var f=0|this.words[u];this.words[u]=c<<26-a|f>>>a,c=f&s}return l&&0!==c&&(l.words[l.length++]=c),0===this.length&&(this.words[0]=0,this.length=1),this.strip()},a.prototype.ishrn=function(t,e,r){return n(0===this.negative),this.iushrn(t,e,r)},a.prototype.shln=function(t){return this.clone().ishln(t)},a.prototype.ushln=function(t){return this.clone().iushln(t)},a.prototype.shrn=function(t){return this.clone().ishrn(t)},a.prototype.ushrn=function(t){return this.clone().iushrn(t)},a.prototype.testn=function(t){n("number"==typeof t&&t>=0);var e=t%26,r=(t-e)/26,i=1<=0);var e=t%26,r=(t-e)/26;if(n(0===this.negative,"imaskn works only with positive numbers"),this.length<=r)return this;if(0!==e&&r++,this.length=Math.min(r,this.length),0!==e){var i=67108863^67108863>>>e<=67108864;e++)this.words[e]-=67108864,e===this.length-1?this.words[e+1]=1:this.words[e+1]++;return this.length=Math.max(this.length,e+1),this},a.prototype.isubn=function(t){if(n("number"==typeof t),n(t<67108864),t<0)return this.iaddn(-t);if(0!==this.negative)return this.negative=0,this.iaddn(t),this.negative=1,this;if(this.words[0]-=t,1===this.length&&this.words[0]<0)this.words[0]=-this.words[0],this.negative=1;else for(var e=0;e>26)-(l/67108864|0),this.words[i+r]=67108863&a}for(;i>26,this.words[i+r]=67108863&a;if(0===s)return this.strip();for(n(-1===s),s=0,i=0;i>26,this.words[i]=67108863&a;return this.negative=1,this.strip()},a.prototype._wordDiv=function(t,e){var r=(this.length,t.length),n=this.clone(),i=t,o=0|i.words[i.length-1];0!=(r=26-this._countBits(o))&&(i=i.ushln(r),n.iushln(r),o=0|i.words[i.length-1]);var s,l=n.length-i.length;if("mod"!==e){(s=new a(null)).length=l+1,s.words=new Array(s.length);for(var u=0;u=0;f--){var h=67108864*(0|n.words[i.length+f])+(0|n.words[i.length+f-1]);for(h=Math.min(h/o|0,67108863),n._ishlnsubmul(i,h,f);0!==n.negative;)h--,n.negative=0,n._ishlnsubmul(i,1,f),n.isZero()||(n.negative^=1);s&&(s.words[f]=h)}return s&&s.strip(),n.strip(),"div"!==e&&0!==r&&n.iushrn(r),{div:s||null,mod:n}},a.prototype.divmod=function(t,e,r){return n(!t.isZero()),this.isZero()?{div:new a(0),mod:new a(0)}:0!==this.negative&&0===t.negative?(s=this.neg().divmod(t,e),"mod"!==e&&(i=s.div.neg()),"div"!==e&&(o=s.mod.neg(),r&&0!==o.negative&&o.iadd(t)),{div:i,mod:o}):0===this.negative&&0!==t.negative?(s=this.divmod(t.neg(),e),"mod"!==e&&(i=s.div.neg()),{div:i,mod:s.mod}):0!=(this.negative&t.negative)?(s=this.neg().divmod(t.neg(),e),"div"!==e&&(o=s.mod.neg(),r&&0!==o.negative&&o.isub(t)),{div:s.div,mod:o}):t.length>this.length||this.cmp(t)<0?{div:new a(0),mod:this}:1===t.length?"div"===e?{div:this.divn(t.words[0]),mod:null}:"mod"===e?{div:null,mod:new a(this.modn(t.words[0]))}:{div:this.divn(t.words[0]),mod:new a(this.modn(t.words[0]))}:this._wordDiv(t,e);var i,o,s},a.prototype.div=function(t){return this.divmod(t,"div",!1).div},a.prototype.mod=function(t){return this.divmod(t,"mod",!1).mod},a.prototype.umod=function(t){return this.divmod(t,"mod",!0).mod},a.prototype.divRound=function(t){var e=this.divmod(t);if(e.mod.isZero())return e.div;var r=0!==e.div.negative?e.mod.isub(t):e.mod,n=t.ushrn(1),i=t.andln(1),a=r.cmp(n);return a<0||1===i&&0===a?e.div:0!==e.div.negative?e.div.isubn(1):e.div.iaddn(1)},a.prototype.modn=function(t){n(t<=67108863);for(var e=(1<<26)%t,r=0,i=this.length-1;i>=0;i--)r=(e*r+(0|this.words[i]))%t;return r},a.prototype.idivn=function(t){n(t<=67108863);for(var e=0,r=this.length-1;r>=0;r--){var i=(0|this.words[r])+67108864*e;this.words[r]=i/t|0,e=i%t}return this.strip()},a.prototype.divn=function(t){return this.clone().idivn(t)},a.prototype.egcd=function(t){n(0===t.negative),n(!t.isZero());var e=this,r=t.clone();e=0!==e.negative?e.umod(t):e.clone();for(var i=new a(1),o=new a(0),s=new a(0),l=new a(1),u=0;e.isEven()&&r.isEven();)e.iushrn(1),r.iushrn(1),++u;for(var c=r.clone(),f=e.clone();!e.isZero();){for(var h=0,p=1;0==(e.words[0]&p)&&h<26;++h,p<<=1);if(h>0)for(e.iushrn(h);h-- >0;)(i.isOdd()||o.isOdd())&&(i.iadd(c),o.isub(f)),i.iushrn(1),o.iushrn(1);for(var d=0,v=1;0==(r.words[0]&v)&&d<26;++d,v<<=1);if(d>0)for(r.iushrn(d);d-- >0;)(s.isOdd()||l.isOdd())&&(s.iadd(c),l.isub(f)),s.iushrn(1),l.iushrn(1);e.cmp(r)>=0?(e.isub(r),i.isub(s),o.isub(l)):(r.isub(e),s.isub(i),l.isub(o))}return{a:s,b:l,gcd:r.iushln(u)}},a.prototype._invmp=function(t){n(0===t.negative),n(!t.isZero());var e=this,r=t.clone();e=0!==e.negative?e.umod(t):e.clone();for(var i,o=new a(1),s=new a(0),l=r.clone();e.cmpn(1)>0&&r.cmpn(1)>0;){for(var u=0,c=1;0==(e.words[0]&c)&&u<26;++u,c<<=1);if(u>0)for(e.iushrn(u);u-- >0;)o.isOdd()&&o.iadd(l),o.iushrn(1);for(var f=0,h=1;0==(r.words[0]&h)&&f<26;++f,h<<=1);if(f>0)for(r.iushrn(f);f-- >0;)s.isOdd()&&s.iadd(l),s.iushrn(1);e.cmp(r)>=0?(e.isub(r),o.isub(s)):(r.isub(e),s.isub(o))}return(i=0===e.cmpn(1)?o:s).cmpn(0)<0&&i.iadd(t),i},a.prototype.gcd=function(t){if(this.isZero())return t.abs();if(t.isZero())return this.abs();var e=this.clone(),r=t.clone();e.negative=0,r.negative=0;for(var n=0;e.isEven()&&r.isEven();n++)e.iushrn(1),r.iushrn(1);for(;;){for(;e.isEven();)e.iushrn(1);for(;r.isEven();)r.iushrn(1);var i=e.cmp(r);if(i<0){var a=e;e=r,r=a}else if(0===i||0===r.cmpn(1))break;e.isub(r)}return r.iushln(n)},a.prototype.invm=function(t){return this.egcd(t).a.umod(t)},a.prototype.isEven=function(){return 0==(1&this.words[0])},a.prototype.isOdd=function(){return 1==(1&this.words[0])},a.prototype.andln=function(t){return this.words[0]&t},a.prototype.bincn=function(t){n("number"==typeof t);var e=t%26,r=(t-e)/26,i=1<>>26,s&=67108863,this.words[o]=s}return 0!==a&&(this.words[o]=a,this.length++),this},a.prototype.isZero=function(){return 1===this.length&&0===this.words[0]},a.prototype.cmpn=function(t){var e,r=t<0;if(0!==this.negative&&!r)return-1;if(0===this.negative&&r)return 1;if(this.strip(),this.length>1)e=1;else{r&&(t=-t),n(t<=67108863,"Number is too big");var i=0|this.words[0];e=i===t?0:it.length)return 1;if(this.length=0;r--){var n=0|this.words[r],i=0|t.words[r];if(n!==i){ni&&(e=1);break}}return e},a.prototype.gtn=function(t){return 1===this.cmpn(t)},a.prototype.gt=function(t){return 1===this.cmp(t)},a.prototype.gten=function(t){return this.cmpn(t)>=0},a.prototype.gte=function(t){return this.cmp(t)>=0},a.prototype.ltn=function(t){return-1===this.cmpn(t)},a.prototype.lt=function(t){return-1===this.cmp(t)},a.prototype.lten=function(t){return this.cmpn(t)<=0},a.prototype.lte=function(t){return this.cmp(t)<=0},a.prototype.eqn=function(t){return 0===this.cmpn(t)},a.prototype.eq=function(t){return 0===this.cmp(t)},a.red=function(t){return new T(t)},a.prototype.toRed=function(t){return n(!this.red,"Already a number in reduction context"),n(0===this.negative,"red works only with positives"),t.convertTo(this)._forceRed(t)},a.prototype.fromRed=function(){return n(this.red,"fromRed works only with numbers in reduction context"),this.red.convertFrom(this)},a.prototype._forceRed=function(t){return this.red=t,this},a.prototype.forceRed=function(t){return n(!this.red,"Already a number in reduction context"),this._forceRed(t)},a.prototype.redAdd=function(t){return n(this.red,"redAdd works only with red numbers"),this.red.add(this,t)},a.prototype.redIAdd=function(t){return n(this.red,"redIAdd works only with red numbers"),this.red.iadd(this,t)},a.prototype.redSub=function(t){return n(this.red,"redSub works only with red numbers"),this.red.sub(this,t)},a.prototype.redISub=function(t){return n(this.red,"redISub works only with red numbers"),this.red.isub(this,t)},a.prototype.redShl=function(t){return n(this.red,"redShl works only with red numbers"),this.red.shl(this,t)},a.prototype.redMul=function(t){return n(this.red,"redMul works only with red numbers"),this.red._verify2(this,t),this.red.mul(this,t)},a.prototype.redIMul=function(t){return n(this.red,"redMul works only with red numbers"),this.red._verify2(this,t),this.red.imul(this,t)},a.prototype.redSqr=function(){return n(this.red,"redSqr works only with red numbers"),this.red._verify1(this),this.red.sqr(this)},a.prototype.redISqr=function(){return n(this.red,"redISqr works only with red numbers"),this.red._verify1(this),this.red.isqr(this)},a.prototype.redSqrt=function(){return n(this.red,"redSqrt works only with red numbers"),this.red._verify1(this),this.red.sqrt(this)},a.prototype.redInvm=function(){return n(this.red,"redInvm works only with red numbers"),this.red._verify1(this),this.red.invm(this)},a.prototype.redNeg=function(){return n(this.red,"redNeg works only with red numbers"),this.red._verify1(this),this.red.neg(this)},a.prototype.redPow=function(t){return n(this.red&&!t.red,"redPow(normalNum)"),this.red._verify1(this),this.red.pow(this,t)};var y={k256:null,p224:null,p192:null,p25519:null};function m(t,e){this.name=t,this.p=new a(e,16),this.n=this.p.bitLength(),this.k=new a(1).iushln(this.n).isub(this.p),this.tmp=this._tmp()}function x(){m.call(this,"k256","ffffffff ffffffff ffffffff ffffffff ffffffff ffffffff fffffffe fffffc2f")}function b(){m.call(this,"p224","ffffffff ffffffff ffffffff ffffffff 00000000 00000000 00000001")}function _(){m.call(this,"p192","ffffffff ffffffff ffffffff fffffffe ffffffff ffffffff")}function w(){m.call(this,"25519","7fffffffffffffff ffffffffffffffff ffffffffffffffff ffffffffffffffed")}function T(t){if("string"==typeof t){var e=a._prime(t);this.m=e.p,this.prime=e}else n(t.gtn(1),"modulus must be greater than 1"),this.m=t,this.prime=null}function k(t){T.call(this,t),this.shift=this.m.bitLength(),this.shift%26!=0&&(this.shift+=26-this.shift%26),this.r=new a(1).iushln(this.shift),this.r2=this.imod(this.r.sqr()),this.rinv=this.r._invmp(this.m),this.minv=this.rinv.mul(this.r).isubn(1).div(this.m),this.minv=this.minv.umod(this.r),this.minv=this.r.sub(this.minv)}m.prototype._tmp=function(){var t=new a(null);return t.words=new Array(Math.ceil(this.n/13)),t},m.prototype.ireduce=function(t){var 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v=l("labels");l("labelFont")&&(v=!0),o("labelEnable"),a("labelSize"),a("labelPad"),u("labelColor"),o("lineEnable"),o("lineMirror"),a("lineWidth"),u("lineColor"),o("lineTickEnable"),o("lineTickMirror"),a("lineTickLength"),a("lineTickWidth"),u("lineTickColor"),o("gridEnable"),a("gridWidth"),u("gridColor"),o("zeroEnable"),u("zeroLineColor"),a("zeroLineWidth"),o("backgroundEnable"),u("backgroundColor"),this._text?this._text&&(v||c)&&this._text.update(this.bounds,this.labels,this.labelFont,this.ticks,this.tickFont):this._text=n(this.gl,this.bounds,this.labels,this.labelFont,this.ticks,this.tickFont),this._lines&&c&&(this._lines.dispose(),this._lines=null),this._lines||(this._lines=i(this.gl,this.bounds,this.ticks))};var p=[new h,new h,new h];function d(t,e,r,n,i){for(var a=t.primalOffset,o=t.primalMinor,s=t.mirrorOffset,l=t.mirrorMinor,u=n[e],c=0;c<3;++c)if(e!==c){var f=a,h=s,p=o,d=l;u&1<0?(p[c]=-1,d[c]=0):(p[c]=0,d[c]=1)}}var v=[0,0,0],g={model:l,view:l,projection:l,_ortho:!1};f.isOpaque=function(){return!0},f.isTransparent=function(){return!1},f.drawTransparent=function(t){};var y=[0,0,0],m=[0,0,0],x=[0,0,0];f.draw=function(t){t=t||g;for(var e=this.gl,r=t.model||l,n=t.view||l,i=t.projection||l,a=this.bounds,s=t._ortho||!1,c=o(r,n,i,a,s),f=c.cubeEdges,h=c.axis,b=n[12],_=n[13],w=n[14],T=n[15],k=(s?2:1)*this.pixelRatio*(i[3]*b+i[7]*_+i[11]*w+i[15]*T)/e.drawingBufferHeight,A=0;A<3;++A)this.lastCubeProps.cubeEdges[A]=f[A],this.lastCubeProps.axis[A]=h[A];var M=p;for(A=0;A<3;++A)d(p[A],A,this.bounds,f,h);e=this.gl;var S,E,L,C=v;for(A=0;A<3;++A)this.backgroundEnable[A]?C[A]=h[A]:C[A]=0;for(this._background.draw(r,n,i,a,C,this.backgroundColor),this._lines.bind(r,n,i,this),A=0;A<3;++A){var P=[0,0,0];h[A]>0?P[A]=a[1][A]:P[A]=a[0][A];for(var O=0;O<2;++O){var I=(A+1+O)%3,D=(A+1+(1^O))%3;this.gridEnable[I]&&this._lines.drawGrid(I,D,this.bounds,P,this.gridColor[I],this.gridWidth[I]*this.pixelRatio)}for(O=0;O<2;++O)I=(A+1+O)%3,D=(A+1+(1^O))%3,this.zeroEnable[D]&&Math.min(a[0][D],a[1][D])<=0&&Math.max(a[0][D],a[1][D])>=0&&this._lines.drawZero(I,D,this.bounds,P,this.zeroLineColor[D],this.zeroLineWidth[D]*this.pixelRatio)}for(A=0;A<3;++A){this.lineEnable[A]&&this._lines.drawAxisLine(A,this.bounds,M[A].primalOffset,this.lineColor[A],this.lineWidth[A]*this.pixelRatio),this.lineMirror[A]&&this._lines.drawAxisLine(A,this.bounds,M[A].mirrorOffset,this.lineColor[A],this.lineWidth[A]*this.pixelRatio);var z=u(y,M[A].primalMinor),R=u(m,M[A].mirrorMinor),F=this.lineTickLength;for(O=0;O<3;++O){var B=k/r[5*O];z[O]*=F[O]*B,R[O]*=F[O]*B}this.lineTickEnable[A]&&this._lines.drawAxisTicks(A,M[A].primalOffset,z,this.lineTickColor[A],this.lineTickWidth[A]*this.pixelRatio),this.lineTickMirror[A]&&this._lines.drawAxisTicks(A,M[A].mirrorOffset,R,this.lineTickColor[A],this.lineTickWidth[A]*this.pixelRatio)}function N(t){(L=[0,0,0])[t]=1}function j(t,e,r){var n=(t+1)%3,i=(t+2)%3,a=e[n],o=e[i],s=r[n],l=r[i];a>0&&l>0||a>0&&l<0||a<0&&l>0||a<0&&l<0?N(n):(o>0&&s>0||o>0&&s<0||o<0&&s>0||o<0&&s<0)&&N(i)}for(this._lines.unbind(),this._text.bind(r,n,i,this.pixelRatio),A=0;A<3;++A){var U=M[A].primalMinor,V=M[A].mirrorMinor,q=u(x,M[A].primalOffset);for(O=0;O<3;++O)this.lineTickEnable[A]&&(q[O]+=k*U[O]*Math.max(this.lineTickLength[O],0)/r[5*O]);var H=[0,0,0];if(H[A]=1,this.tickEnable[A]){for(-3600===this.tickAngle[A]?(this.tickAngle[A]=0,this.tickAlign[A]="auto"):this.tickAlign[A]=-1,E=1,"auto"===(S=[this.tickAlign[A],.5,E])[0]?S[0]=0:S[0]=parseInt(""+S[0]),L=[0,0,0],j(A,U,V),O=0;O<3;++O)q[O]+=k*U[O]*this.tickPad[O]/r[5*O];this._text.drawTicks(A,this.tickSize[A],this.tickAngle[A],q,this.tickColor[A],H,L,S)}if(this.labelEnable[A]){for(E=0,L=[0,0,0],this.labels[A].length>4&&(N(A),E=1),"auto"===(S=[this.labelAlign[A],.5,E])[0]?S[0]=0:S[0]=parseInt(""+S[0]),O=0;O<3;++O)q[O]+=k*U[O]*this.labelPad[O]/r[5*O];q[A]+=.5*(a[0][A]+a[1][A]),this._text.drawLabel(A,this.labelSize[A],this.labelAngle[A],q,this.labelColor[A],[0,0,0],L,S)}}this._text.unbind()},f.dispose=function(){this._text.dispose(),this._lines.dispose(),this._background.dispose(),this._lines=null,this._text=null,this._background=null,this.gl=null}},1011:function(t,e,r){"use strict";t.exports=function(t){for(var e=[],r=[],s=0,l=0;l<3;++l)for(var u=(l+1)%3,c=(l+2)%3,f=[0,0,0],h=[0,0,0],p=-1;p<=1;p+=2){r.push(s,s+2,s+1,s+1,s+2,s+3),f[l]=p,h[l]=p;for(var d=-1;d<=1;d+=2){f[u]=d;for(var v=-1;v<=1;v+=2)f[c]=v,e.push(f[0],f[1],f[2],h[0],h[1],h[2]),s+=1}var g=u;u=c,c=g}var y=n(t,new Float32Array(e)),m=n(t,new Uint16Array(r),t.ELEMENT_ARRAY_BUFFER),x=i(t,[{buffer:y,type:t.FLOAT,size:3,offset:0,stride:24},{buffer:y,type:t.FLOAT,size:3,offset:12,stride:24}],m),b=a(t);return b.attributes.position.location=0,b.attributes.normal.location=1,new o(t,y,x,b)};var n=r(5827),i=r(2944),a=r(1943).bg;function o(t,e,r,n){this.gl=t,this.buffer=e,this.vao=r,this.shader=n}var s=o.prototype;s.draw=function(t,e,r,n,i,a){for(var o=!1,s=0;s<3;++s)o=o||i[s];if(o){var l=this.gl;l.enable(l.POLYGON_OFFSET_FILL),l.polygonOffset(1,2),this.shader.bind(),this.shader.uniforms={model:t,view:e,projection:r,bounds:n,enable:i,colors:a},this.vao.bind(),this.vao.draw(this.gl.TRIANGLES,36),this.vao.unbind(),l.disable(l.POLYGON_OFFSET_FILL)}},s.dispose=function(){this.vao.dispose(),this.buffer.dispose(),this.shader.dispose()}},2864:function(t,e,r){"use strict";t.exports=function(t,e,r,a,p){i(s,e,t),i(s,r,s);for(var m=0,x=0;x<2;++x){c[2]=a[x][2];for(var b=0;b<2;++b){c[1]=a[b][1];for(var _=0;_<2;++_)c[0]=a[_][0],h(l[m],c,s),m+=1}}var w=-1;for(x=0;x<8;++x){for(var T=l[x][3],k=0;k<3;++k)u[x][k]=l[x][k]/T;p&&(u[x][2]*=-1),T<0&&(w<0||u[x][2]E&&(w|=1<E&&(w|=1<u[x][1])&&(R=x);var F=-1;for(x=0;x<3;++x)(N=R^1<u[B][0]&&(B=N))}var j=v;j[0]=j[1]=j[2]=0,j[n.log2(F^R)]=R&F,j[n.log2(R^B)]=R&B;var U=7^B;U===w||U===z?(U=7^F,j[n.log2(B^U)]=U&B):j[n.log2(F^U)]=U&F;var V=g,q=w;for(A=0;A<3;++A)V[A]=q&1< HALF_PI) && (b <= ONE_AND_HALF_PI)) ?\n b - PI :\n b;\n}\n\nfloat look_horizontal_or_vertical(float a, float ratio) {\n // ratio controls the ratio between being horizontal to (vertical + horizontal)\n // if ratio is set to 0.5 then it is 50%, 50%.\n // when using a higher ratio e.g. 0.75 the result would\n // likely be more horizontal than vertical.\n\n float b = positive_angle(a);\n\n return\n (b < ( ratio) * HALF_PI) ? 0.0 :\n (b < (2.0 - ratio) * HALF_PI) ? -HALF_PI :\n (b < (2.0 + ratio) * HALF_PI) ? 0.0 :\n (b < (4.0 - ratio) * HALF_PI) ? HALF_PI :\n 0.0;\n}\n\nfloat roundTo(float a, float b) {\n return float(b * floor((a + 0.5 * b) / b));\n}\n\nfloat look_round_n_directions(float a, int n) {\n float b = positive_angle(a);\n float div = TWO_PI / float(n);\n float c = roundTo(b, div);\n return look_upwards(c);\n}\n\nfloat applyAlignOption(float rawAngle, float delta) {\n return\n (option > 2) ? look_round_n_directions(rawAngle + delta, option) : // option 3-n: round to n directions\n (option == 2) ? look_horizontal_or_vertical(rawAngle + delta, hv_ratio) : // horizontal or vertical\n (option == 1) ? rawAngle + delta : // use free angle, and flip to align with one direction of the axis\n (option == 0) ? look_upwards(rawAngle) : // use free angle, and stay upwards\n (option ==-1) ? 0.0 : // useful for backward compatibility, all texts remains horizontal\n rawAngle; // otherwise return back raw input angle\n}\n\nbool isAxisTitle = (axis.x == 0.0) &&\n (axis.y == 0.0) &&\n (axis.z == 0.0);\n\nvoid main() {\n //Compute world offset\n float axisDistance = position.z;\n vec3 dataPosition = axisDistance * axis + offset;\n\n float beta = angle; // i.e. user defined attributes for each tick\n\n float axisAngle;\n float clipAngle;\n float flip;\n\n if (enableAlign) {\n axisAngle = (isAxisTitle) ? HALF_PI :\n computeViewAngle(dataPosition, dataPosition + axis);\n clipAngle = computeViewAngle(dataPosition, dataPosition + alignDir);\n\n axisAngle += (sin(axisAngle) < 0.0) ? PI : 0.0;\n clipAngle += (sin(clipAngle) < 0.0) ? PI : 0.0;\n\n flip = (dot(vec2(cos(axisAngle), sin(axisAngle)),\n vec2(sin(clipAngle),-cos(clipAngle))) > 0.0) ? 1.0 : 0.0;\n\n beta += applyAlignOption(clipAngle, flip * PI);\n }\n\n //Compute plane offset\n vec2 planeCoord = position.xy * pixelScale;\n\n mat2 planeXform = scale * mat2(\n cos(beta), sin(beta),\n -sin(beta), cos(beta)\n );\n\n vec2 viewOffset = 2.0 * planeXform * planeCoord / resolution;\n\n //Compute clip position\n vec3 clipPosition = project(dataPosition);\n\n //Apply text offset in clip coordinates\n clipPosition += vec3(viewOffset, 0.0);\n\n //Done\n gl_Position = vec4(clipPosition, 1.0);\n}"]),l=n(["precision highp float;\n#define GLSLIFY 1\n\nuniform vec4 color;\nvoid main() {\n gl_FragColor = color;\n}"]);e.f=function(t){return i(t,s,l,null,[{name:"position",type:"vec3"}])};var u=n(["precision highp float;\n#define GLSLIFY 1\n\nattribute vec3 position;\nattribute vec3 normal;\n\nuniform mat4 model, view, projection;\nuniform vec3 enable;\nuniform vec3 bounds[2];\n\nvarying vec3 colorChannel;\n\nvoid main() {\n\n vec3 signAxis = sign(bounds[1] - bounds[0]);\n\n vec3 realNormal = signAxis * normal;\n\n if(dot(realNormal, enable) > 0.0) {\n vec3 minRange = min(bounds[0], bounds[1]);\n vec3 maxRange = max(bounds[0], bounds[1]);\n vec3 nPosition = mix(minRange, maxRange, 0.5 * (position + 1.0));\n gl_Position = projection * view * model * vec4(nPosition, 1.0);\n } else {\n gl_Position = vec4(0,0,0,0);\n }\n\n colorChannel = abs(realNormal);\n}"]),c=n(["precision highp float;\n#define GLSLIFY 1\n\nuniform vec4 colors[3];\n\nvarying vec3 colorChannel;\n\nvoid main() {\n gl_FragColor = colorChannel.x * colors[0] +\n colorChannel.y * colors[1] +\n colorChannel.z * colors[2];\n}"]);e.bg=function(t){return i(t,u,c,null,[{name:"position",type:"vec3"},{name:"normal",type:"vec3"}])}},9557:function(t,e,r){"use strict";t.exports=function(t,e,r,i,o,l){var u=n(t),f=a(t,[{buffer:u,size:3}]),h=s(t);h.attributes.position.location=0;var p=new c(t,h,u,f);return p.update(e,r,i,o,l),p};var n=r(5827),a=r(2944),o=r(875),s=r(1943).f,l=window||i.global||{},u=l.__TEXT_CACHE||{};function c(t,e,r,n){this.gl=t,this.shader=e,this.buffer=r,this.vao=n,this.tickOffset=this.tickCount=this.labelOffset=this.labelCount=null}l.__TEXT_CACHE={};var f=c.prototype,h=[0,0];f.bind=function(t,e,r,n){this.vao.bind(),this.shader.bind();var i=this.shader.uniforms;i.model=t,i.view=e,i.projection=r,i.pixelScale=n,h[0]=this.gl.drawingBufferWidth,h[1]=this.gl.drawingBufferHeight,this.shader.uniforms.resolution=h},f.unbind=function(){this.vao.unbind()},f.update=function(t,e,r,n,i){var a=[];function s(t,e,r,n,i,s){var l=u[r];l||(l=u[r]={});var c=l[e];c||(c=l[e]=function(t,e){try{return o(t,e)}catch(e){return console.warn('error vectorizing text:"'+t+'" error:',e),{cells:[],positions:[]}}}(e,{triangles:!0,font:r,textAlign:"center",textBaseline:"middle",lineSpacing:i,styletags:s}));for(var f=(n||12)/12,h=c.positions,p=c.cells,d=0,v=p.length;d=0;--y){var m=h[g[y]];a.push(f*m[0],-f*m[1],t)}}for(var l=[0,0,0],c=[0,0,0],f=[0,0,0],h=[0,0,0],p={breaklines:!0,bolds:!0,italics:!0,subscripts:!0,superscripts:!0},d=0;d<3;++d){f[d]=a.length/3|0,s(.5*(t[0][d]+t[1][d]),e[d],r[d],12,1.25,p),h[d]=(a.length/3|0)-f[d],l[d]=a.length/3|0;for(var v=0;v=0&&(i=r.length-n-1);var a=Math.pow(10,i),o=Math.round(t*e*a),s=o+"";if(s.indexOf("e")>=0)return s;var l=o/a,u=o%a;o<0?(l=0|-Math.ceil(l),u=0|-u):(l=0|Math.floor(l),u|=0);var c=""+l;if(o<0&&(c="-"+c),i){for(var f=""+u;f.length=t[0][i];--o)a.push({x:o*e[i],text:r(e[i],o)});n.push(a)}return n},e.equal=function(t,e){for(var r=0;r<3;++r){if(t[r].length!==e[r].length)return!1;for(var n=0;nr)throw new Error("gl-buffer: If resizing buffer, must not specify offset");return t.bufferSubData(e,a,i),r}function c(t,e){for(var r=n.malloc(t.length,e),i=t.length,a=0;a=0;--n){if(e[n]!==r)return!1;r*=t[n]}return!0}(t.shape,t.stride))0===t.offset&&t.data.length===t.shape[0]?this.length=u(this.gl,this.type,this.length,this.usage,t.data,e):this.length=u(this.gl,this.type,this.length,this.usage,t.data.subarray(t.offset,t.shape[0]),e);else{var s=n.malloc(t.size,r),l=a(s,t.shape);i.assign(l,t),this.length=u(this.gl,this.type,this.length,this.usage,e<0?s:s.subarray(0,t.size),e),n.free(s)}}else if(Array.isArray(t)){var f;f=this.type===this.gl.ELEMENT_ARRAY_BUFFER?c(t,"uint16"):c(t,"float32"),this.length=u(this.gl,this.type,this.length,this.usage,e<0?f:f.subarray(0,t.length),e),n.free(f)}else if("object"==typeof t&&"number"==typeof t.length)this.length=u(this.gl,this.type,this.length,this.usage,t,e);else{if("number"!=typeof t&&void 0!==t)throw new Error("gl-buffer: Invalid data type");if(e>=0)throw new Error("gl-buffer: Cannot specify offset when resizing buffer");(t|=0)<=0&&(t=1),this.gl.bufferData(this.type,0|t,this.usage),this.length=t}},t.exports=function(t,e,r,n){if(r=r||t.ARRAY_BUFFER,n=n||t.DYNAMIC_DRAW,r!==t.ARRAY_BUFFER&&r!==t.ELEMENT_ARRAY_BUFFER)throw new Error("gl-buffer: Invalid type for webgl buffer, must be either gl.ARRAY_BUFFER or gl.ELEMENT_ARRAY_BUFFER");if(n!==t.DYNAMIC_DRAW&&n!==t.STATIC_DRAW&&n!==t.STREAM_DRAW)throw new Error("gl-buffer: Invalid usage for buffer, must be either gl.DYNAMIC_DRAW, gl.STATIC_DRAW or gl.STREAM_DRAW");var i=t.createBuffer(),a=new s(t,r,i,0,n);return a.update(e),a}},1140:function(t,e,r){"use strict";var n=r(2858);t.exports=function(t,e){var r=t.positions,i=t.vectors,a={positions:[],vertexIntensity:[],vertexIntensityBounds:t.vertexIntensityBounds,vectors:[],cells:[],coneOffset:t.coneOffset,colormap:t.colormap};if(0===t.positions.length)return e&&(e[0]=[0,0,0],e[1]=[0,0,0]),a;for(var o=0,s=1/0,l=-1/0,u=1/0,c=-1/0,f=1/0,h=-1/0,p=null,d=null,v=[],g=1/0,y=!1,m=0;mo&&(o=n.length(b)),m){var _=2*n.distance(p,x)/(n.length(d)+n.length(b));_?(g=Math.min(g,_),y=!1):y=!0}y||(p=x,d=b),v.push(b)}var w=[s,u,f],T=[l,c,h];e&&(e[0]=w,e[1]=T),0===o&&(o=1);var k=1/o;isFinite(g)||(g=1),a.vectorScale=g;var A=t.coneSize||.5;t.absoluteConeSize&&(A=t.absoluteConeSize*k),a.coneScale=A,m=0;for(var M=0;m=1},p.isTransparent=function(){return this.opacity<1},p.pickSlots=1,p.setPickBase=function(t){this.pickId=t},p.update=function(t){t=t||{};var e=this.gl;this.dirty=!0,"lightPosition"in t&&(this.lightPosition=t.lightPosition),"opacity"in t&&(this.opacity=t.opacity),"ambient"in t&&(this.ambientLight=t.ambient),"diffuse"in t&&(this.diffuseLight=t.diffuse),"specular"in t&&(this.specularLight=t.specular),"roughness"in t&&(this.roughness=t.roughness),"fresnel"in t&&(this.fresnel=t.fresnel),void 0!==t.tubeScale&&(this.tubeScale=t.tubeScale),void 0!==t.vectorScale&&(this.vectorScale=t.vectorScale),void 0!==t.coneScale&&(this.coneScale=t.coneScale),void 0!==t.coneOffset&&(this.coneOffset=t.coneOffset),t.colormap&&(this.texture.shape=[256,256],this.texture.minFilter=e.LINEAR_MIPMAP_LINEAR,this.texture.magFilter=e.LINEAR,this.texture.setPixels(function(t){for(var e=c({colormap:t,nshades:256,format:"rgba"}),r=new Uint8Array(1024),n=0;n<256;++n){for(var i=e[n],a=0;a<3;++a)r[4*n+a]=i[a];r[4*n+3]=255*i[3]}return u(r,[256,256,4],[4,0,1])}(t.colormap)),this.texture.generateMipmap());var r=t.cells,n=t.positions,i=t.vectors;if(n&&r&&i){var a=[],o=[],s=[],l=[],f=[];this.cells=r,this.positions=n,this.vectors=i;var h=t.meshColor||[1,1,1,1],p=t.vertexIntensity,d=1/0,v=-1/0;if(p)if(t.vertexIntensityBounds)d=+t.vertexIntensityBounds[0],v=+t.vertexIntensityBounds[1];else for(var g=0;g0){var v=this.triShader;v.bind(),v.uniforms=u,this.triangleVAO.bind(),e.drawArrays(e.TRIANGLES,0,3*this.triangleCount),this.triangleVAO.unbind()}},p.drawPick=function(t){t=t||{};for(var e=this.gl,r=t.model||f,n=t.view||f,i=t.projection||f,a=[[-1e6,-1e6,-1e6],[1e6,1e6,1e6]],o=0;o<3;++o)a[0][o]=Math.max(a[0][o],this.clipBounds[0][o]),a[1][o]=Math.min(a[1][o],this.clipBounds[1][o]);this._model=[].slice.call(r),this._view=[].slice.call(n),this._projection=[].slice.call(i),this._resolution=[e.drawingBufferWidth,e.drawingBufferHeight];var s={model:r,view:n,projection:i,clipBounds:a,tubeScale:this.tubeScale,vectorScale:this.vectorScale,coneScale:this.coneScale,coneOffset:this.coneOffset,pickId:this.pickId/255},l=this.pickShader;l.bind(),l.uniforms=s,this.triangleCount>0&&(this.triangleVAO.bind(),e.drawArrays(e.TRIANGLES,0,3*this.triangleCount),this.triangleVAO.unbind())},p.pick=function(t){if(!t)return null;if(t.id!==this.pickId)return null;var e=t.value[0]+256*t.value[1]+65536*t.value[2],r=this.cells[e],n=this.positions[r[1]].slice(0,3),i={position:n,dataCoordinate:n,index:Math.floor(r[1]/48)};return"cone"===this.traceType?i.index=Math.floor(r[1]/48):"streamtube"===this.traceType&&(i.intensity=this.intensity[r[1]],i.velocity=this.vectors[r[1]].slice(0,3),i.divergence=this.vectors[r[1]][3],i.index=e),i},p.dispose=function(){this.texture.dispose(),this.triShader.dispose(),this.pickShader.dispose(),this.triangleVAO.dispose(),this.trianglePositions.dispose(),this.triangleVectors.dispose(),this.triangleColors.dispose(),this.triangleUVs.dispose(),this.triangleIds.dispose()},t.exports=function(t,e,r){var s=r.shaders;1===arguments.length&&(t=(e=t).gl);var l=function(t,e){var r=n(t,e.meshShader.vertex,e.meshShader.fragment,null,e.meshShader.attributes);return r.attributes.position.location=0,r.attributes.color.location=2,r.attributes.uv.location=3,r.attributes.vector.location=4,r}(t,s),c=function(t,e){var r=n(t,e.pickShader.vertex,e.pickShader.fragment,null,e.pickShader.attributes);return r.attributes.position.location=0,r.attributes.id.location=1,r.attributes.vector.location=4,r}(t,s),f=o(t,u(new Uint8Array([255,255,255,255]),[1,1,4]));f.generateMipmap(),f.minFilter=t.LINEAR_MIPMAP_LINEAR,f.magFilter=t.LINEAR;var p=i(t),d=i(t),v=i(t),g=i(t),y=i(t),m=new h(t,f,l,c,p,d,y,v,g,a(t,[{buffer:p,type:t.FLOAT,size:4},{buffer:y,type:t.UNSIGNED_BYTE,size:4,normalized:!0},{buffer:v,type:t.FLOAT,size:4},{buffer:g,type:t.FLOAT,size:2},{buffer:d,type:t.FLOAT,size:4}]),r.traceType||"cone");return m.update(e),m}},7234:function(t,e,r){var n=r(6832),i=n(["precision highp float;\n\nprecision highp float;\n#define GLSLIFY 1\n\nvec3 getOrthogonalVector(vec3 v) {\n // Return up-vector for only-z vector.\n // Return ax + by + cz = 0, a point that lies on the plane that has v as a normal and that isn't (0,0,0).\n // From the above if-statement we have ||a|| > 0 U ||b|| > 0.\n // Assign z = 0, x = -b, y = a:\n // a*-b + b*a + c*0 = -ba + ba + 0 = 0\n if (v.x*v.x > v.z*v.z || v.y*v.y > v.z*v.z) {\n return normalize(vec3(-v.y, v.x, 0.0));\n } else {\n return normalize(vec3(0.0, v.z, -v.y));\n }\n}\n\n// Calculate the cone vertex and normal at the given index.\n//\n// The returned vertex is for a cone with its top at origin and height of 1.0,\n// pointing in the direction of the vector attribute.\n//\n// Each cone is made up of a top vertex, a center base vertex and base perimeter vertices.\n// These vertices are used to make up the triangles of the cone by the following:\n// segment + 0 top vertex\n// segment + 1 perimeter vertex a+1\n// segment + 2 perimeter vertex a\n// segment + 3 center base vertex\n// segment + 4 perimeter vertex a\n// segment + 5 perimeter vertex a+1\n// Where segment is the number of the radial segment * 6 and a is the angle at that radial segment.\n// To go from index to segment, floor(index / 6)\n// To go from segment to angle, 2*pi * (segment/segmentCount)\n// To go from index to segment index, index - (segment*6)\n//\nvec3 getConePosition(vec3 d, float rawIndex, float coneOffset, out vec3 normal) {\n\n const float segmentCount = 8.0;\n\n float index = rawIndex - floor(rawIndex /\n (segmentCount * 6.0)) *\n (segmentCount * 6.0);\n\n float segment = floor(0.001 + index/6.0);\n float segmentIndex = index - (segment*6.0);\n\n normal = -normalize(d);\n\n if (segmentIndex > 2.99 && segmentIndex < 3.01) {\n return mix(vec3(0.0), -d, coneOffset);\n }\n\n float nextAngle = (\n (segmentIndex > 0.99 && segmentIndex < 1.01) ||\n (segmentIndex > 4.99 && segmentIndex < 5.01)\n ) ? 1.0 : 0.0;\n float angle = 2.0 * 3.14159 * ((segment + nextAngle) / segmentCount);\n\n vec3 v1 = mix(d, vec3(0.0), coneOffset);\n vec3 v2 = v1 - d;\n\n vec3 u = getOrthogonalVector(d);\n vec3 v = normalize(cross(u, d));\n\n vec3 x = u * cos(angle) * length(d)*0.25;\n vec3 y = v * sin(angle) * length(d)*0.25;\n vec3 v3 = v2 + x + y;\n if (segmentIndex < 3.0) {\n vec3 tx = u * sin(angle);\n vec3 ty = v * -cos(angle);\n vec3 tangent = tx + ty;\n normal = normalize(cross(v3 - v1, tangent));\n }\n\n if (segmentIndex == 0.0) {\n return mix(d, vec3(0.0), coneOffset);\n }\n return v3;\n}\n\nattribute vec3 vector;\nattribute vec4 color, position;\nattribute vec2 uv;\n\nuniform float vectorScale, coneScale, coneOffset;\nuniform mat4 model, view, projection, inverseModel;\nuniform vec3 eyePosition, lightPosition;\n\nvarying vec3 f_normal, f_lightDirection, f_eyeDirection, f_data, f_position;\nvarying vec4 f_color;\nvarying vec2 f_uv;\n\nvoid main() {\n // Scale the vector magnitude to stay constant with\n // model & view changes.\n vec3 normal;\n vec3 XYZ = getConePosition(mat3(model) * ((vectorScale * coneScale) * vector), position.w, coneOffset, normal);\n vec4 conePosition = model * vec4(position.xyz, 1.0) + vec4(XYZ, 0.0);\n\n //Lighting geometry parameters\n vec4 cameraCoordinate = view * conePosition;\n cameraCoordinate.xyz /= cameraCoordinate.w;\n f_lightDirection = lightPosition - cameraCoordinate.xyz;\n f_eyeDirection = eyePosition - cameraCoordinate.xyz;\n f_normal = normalize((vec4(normal, 0.0) * inverseModel).xyz);\n\n // vec4 m_position = model * vec4(conePosition, 1.0);\n vec4 t_position = view * conePosition;\n gl_Position = projection * t_position;\n\n f_color = color;\n f_data = conePosition.xyz;\n f_position = position.xyz;\n f_uv = uv;\n}\n"]),a=n(["#extension GL_OES_standard_derivatives : enable\n\nprecision highp float;\n#define GLSLIFY 1\n\nfloat beckmannDistribution(float x, float roughness) {\n float NdotH = max(x, 0.0001);\n float cos2Alpha = NdotH * NdotH;\n float tan2Alpha = (cos2Alpha - 1.0) / cos2Alpha;\n float roughness2 = roughness * roughness;\n float denom = 3.141592653589793 * roughness2 * cos2Alpha * cos2Alpha;\n return exp(tan2Alpha / roughness2) / denom;\n}\n\nfloat cookTorranceSpecular(\n vec3 lightDirection,\n vec3 viewDirection,\n vec3 surfaceNormal,\n float roughness,\n float fresnel) {\n\n float VdotN = max(dot(viewDirection, surfaceNormal), 0.0);\n float LdotN = max(dot(lightDirection, surfaceNormal), 0.0);\n\n //Half angle vector\n vec3 H = normalize(lightDirection + viewDirection);\n\n //Geometric term\n float NdotH = max(dot(surfaceNormal, H), 0.0);\n float VdotH = max(dot(viewDirection, H), 0.000001);\n float LdotH = max(dot(lightDirection, H), 0.000001);\n float G1 = (2.0 * NdotH * VdotN) / VdotH;\n float G2 = (2.0 * NdotH * LdotN) / LdotH;\n float G = min(1.0, min(G1, G2));\n \n //Distribution term\n float D = beckmannDistribution(NdotH, roughness);\n\n //Fresnel term\n float F = pow(1.0 - VdotN, fresnel);\n\n //Multiply terms and done\n return G * F * D / max(3.14159265 * VdotN, 0.000001);\n}\n\nbool outOfRange(float a, float b, float p) {\n return ((p > max(a, b)) || \n (p < min(a, b)));\n}\n\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\n return (outOfRange(a.x, b.x, p.x) ||\n outOfRange(a.y, b.y, p.y));\n}\n\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\n return (outOfRange(a.x, b.x, p.x) ||\n outOfRange(a.y, b.y, p.y) ||\n outOfRange(a.z, b.z, p.z));\n}\n\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\n return outOfRange(a.xyz, b.xyz, p.xyz);\n}\n\nuniform vec3 clipBounds[2];\nuniform float roughness, fresnel, kambient, kdiffuse, kspecular, opacity;\nuniform sampler2D texture;\n\nvarying vec3 f_normal, f_lightDirection, f_eyeDirection, f_data, f_position;\nvarying vec4 f_color;\nvarying vec2 f_uv;\n\nvoid main() {\n if (outOfRange(clipBounds[0], clipBounds[1], f_position)) discard;\n vec3 N = normalize(f_normal);\n vec3 L = normalize(f_lightDirection);\n vec3 V = normalize(f_eyeDirection);\n\n if(gl_FrontFacing) {\n N = -N;\n }\n\n float specular = min(1.0, max(0.0, cookTorranceSpecular(L, V, N, roughness, fresnel)));\n float diffuse = min(kambient + kdiffuse * max(dot(N, L), 0.0), 1.0);\n\n vec4 surfaceColor = f_color * texture2D(texture, f_uv);\n vec4 litColor = surfaceColor.a * vec4(diffuse * surfaceColor.rgb + kspecular * vec3(1,1,1) * specular, 1.0);\n\n gl_FragColor = litColor * opacity;\n}\n"]),o=n(["precision highp float;\n\nprecision highp float;\n#define GLSLIFY 1\n\nvec3 getOrthogonalVector(vec3 v) {\n // Return up-vector for only-z vector.\n // Return ax + by + cz = 0, a point that lies on the plane that has v as a normal and that isn't (0,0,0).\n // From the above if-statement we have ||a|| > 0 U ||b|| > 0.\n // Assign z = 0, x = -b, y = a:\n // a*-b + b*a + c*0 = -ba + ba + 0 = 0\n if (v.x*v.x > v.z*v.z || v.y*v.y > v.z*v.z) {\n return normalize(vec3(-v.y, v.x, 0.0));\n } else {\n return normalize(vec3(0.0, v.z, -v.y));\n }\n}\n\n// Calculate the cone vertex and normal at the given index.\n//\n// The returned vertex is for a cone with its top at origin and height of 1.0,\n// pointing in the direction of the vector attribute.\n//\n// Each cone is made up of a top vertex, a center base vertex and base perimeter vertices.\n// These vertices are used to make up the triangles of the cone by the following:\n// segment + 0 top vertex\n// segment + 1 perimeter vertex a+1\n// segment + 2 perimeter vertex a\n// segment + 3 center base vertex\n// segment + 4 perimeter vertex a\n// segment + 5 perimeter vertex a+1\n// Where segment is the number of the radial segment * 6 and a is the angle at that radial segment.\n// To go from index to segment, floor(index / 6)\n// To go from segment to angle, 2*pi * (segment/segmentCount)\n// To go from index to segment index, index - (segment*6)\n//\nvec3 getConePosition(vec3 d, float rawIndex, float coneOffset, out vec3 normal) {\n\n const float segmentCount = 8.0;\n\n float index = rawIndex - floor(rawIndex /\n (segmentCount * 6.0)) *\n (segmentCount * 6.0);\n\n float segment = floor(0.001 + index/6.0);\n float segmentIndex = index - (segment*6.0);\n\n normal = -normalize(d);\n\n if (segmentIndex > 2.99 && segmentIndex < 3.01) {\n return mix(vec3(0.0), -d, coneOffset);\n }\n\n float nextAngle = (\n (segmentIndex > 0.99 && segmentIndex < 1.01) ||\n (segmentIndex > 4.99 && segmentIndex < 5.01)\n ) ? 1.0 : 0.0;\n float angle = 2.0 * 3.14159 * ((segment + nextAngle) / segmentCount);\n\n vec3 v1 = mix(d, vec3(0.0), coneOffset);\n vec3 v2 = v1 - d;\n\n vec3 u = getOrthogonalVector(d);\n vec3 v = normalize(cross(u, d));\n\n vec3 x = u * cos(angle) * length(d)*0.25;\n vec3 y = v * sin(angle) * length(d)*0.25;\n vec3 v3 = v2 + x + y;\n if (segmentIndex < 3.0) {\n vec3 tx = u * sin(angle);\n vec3 ty = v * -cos(angle);\n vec3 tangent = tx + ty;\n normal = normalize(cross(v3 - v1, tangent));\n }\n\n if (segmentIndex == 0.0) {\n return mix(d, vec3(0.0), coneOffset);\n }\n return v3;\n}\n\nattribute vec4 vector;\nattribute vec4 position;\nattribute vec4 id;\n\nuniform mat4 model, view, projection;\nuniform float vectorScale, coneScale, coneOffset;\n\nvarying vec3 f_position;\nvarying vec4 f_id;\n\nvoid main() {\n vec3 normal;\n vec3 XYZ = getConePosition(mat3(model) * ((vectorScale * coneScale) * vector.xyz), position.w, coneOffset, normal);\n vec4 conePosition = model * vec4(position.xyz, 1.0) + vec4(XYZ, 0.0);\n gl_Position = projection * view * conePosition;\n f_id = id;\n f_position = position.xyz;\n}\n"]),s=n(["precision highp float;\n#define GLSLIFY 1\n\nbool outOfRange(float a, float b, float p) {\n return ((p > max(a, b)) || \n (p < min(a, b)));\n}\n\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\n return (outOfRange(a.x, b.x, p.x) ||\n outOfRange(a.y, b.y, p.y));\n}\n\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\n return (outOfRange(a.x, b.x, p.x) ||\n outOfRange(a.y, b.y, p.y) ||\n outOfRange(a.z, b.z, p.z));\n}\n\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\n return outOfRange(a.xyz, b.xyz, p.xyz);\n}\n\nuniform vec3 clipBounds[2];\nuniform float pickId;\n\nvarying vec3 f_position;\nvarying vec4 f_id;\n\nvoid main() {\n if (outOfRange(clipBounds[0], clipBounds[1], f_position)) discard;\n\n gl_FragColor = vec4(pickId, f_id.xyz);\n}"]);e.meshShader={vertex:i,fragment:a,attributes:[{name:"position",type:"vec4"},{name:"color",type:"vec4"},{name:"uv",type:"vec2"},{name:"vector",type:"vec3"}]},e.pickShader={vertex:o,fragment:s,attributes:[{name:"position",type:"vec4"},{name:"id",type:"vec4"},{name:"vector",type:"vec3"}]}},1950:function(t){t.exports={0:"NONE",1:"ONE",2:"LINE_LOOP",3:"LINE_STRIP",4:"TRIANGLES",5:"TRIANGLE_STRIP",6:"TRIANGLE_FAN",256:"DEPTH_BUFFER_BIT",512:"NEVER",513:"LESS",514:"EQUAL",515:"LEQUAL",516:"GREATER",517:"NOTEQUAL",518:"GEQUAL",519:"ALWAYS",768:"SRC_COLOR",769:"ONE_MINUS_SRC_COLOR",770:"SRC_ALPHA",771:"ONE_MINUS_SRC_ALPHA",772:"DST_ALPHA",773:"ONE_MINUS_DST_ALPHA",774:"DST_COLOR",775:"ONE_MINUS_DST_COLOR",776:"SRC_ALPHA_SATURATE",1024:"STENCIL_BUFFER_BIT",1028:"FRONT",1029:"BACK",1032:"FRONT_AND_BACK",1280:"INVALID_ENUM",1281:"INVALID_VALUE",1282:"INVALID_OPERATION",1285:"OUT_OF_MEMORY",1286:"INVALID_FRAMEBUFFER_OPERATION",2304:"CW",2305:"CCW",2849:"LINE_WIDTH",2884:"CULL_FACE",2885:"CULL_FACE_MODE",2886:"FRONT_FACE",2928:"DEPTH_RANGE",2929:"DEPTH_TEST",2930:"DEPTH_WRITEMASK",2931:"DEPTH_CLEAR_VALUE",2932:"DEPTH_FUNC",2960:"STENCIL_TEST",2961:"STENCIL_CLEAR_VALUE",2962:"STENCIL_FUNC",2963:"STENCIL_VALUE_MASK",2964:"STENCIL_FAIL",2965:"STENCIL_PASS_DEPTH_FAIL",2966:"STENCIL_PASS_DEPTH_PASS",2967:"STENCIL_REF",2968:"STENCIL_WRITEMASK",2978:"VIEWPORT",3024:"DITHER",3042:"BLEND",3088:"SCISSOR_BOX",3089:"SCISSOR_TEST",3106:"COLOR_CLEAR_VALUE",3107:"COLOR_WRITEMASK",3317:"UNPACK_ALIGNMENT",3333:"PACK_ALIGNMENT",3379:"MAX_TEXTURE_SIZE",3386:"MAX_VIEWPORT_DIMS",3408:"SUBPIXEL_BITS",3410:"RED_BITS",3411:"GREEN_BITS",3412:"BLUE_BITS",3413:"ALPHA_BITS",3414:"DEPTH_BITS",3415:"STENCIL_BITS",3553:"TEXTURE_2D",4352:"DONT_CARE",4353:"FASTEST",4354:"NICEST",5120:"BYTE",5121:"UNSIGNED_BYTE",5122:"SHORT",5123:"UNSIGNED_SHORT",5124:"INT",5125:"UNSIGNED_INT",5126:"FLOAT",5386:"INVERT",5890:"TEXTURE",6401:"STENCIL_INDEX",6402:"DEPTH_COMPONENT",6406:"ALPHA",6407:"RGB",6408:"RGBA",6409:"LUMINANCE",6410:"LUMINANCE_ALPHA",7680:"KEEP",7681:"REPLACE",7682:"INCR",7683:"DECR",7936:"VENDOR",7937:"RENDERER",7938:"VERSION",9728:"NEAREST",9729:"LINEAR",9984:"NEAREST_MIPMAP_NEAREST",9985:"LINEAR_MIPMAP_NEAREST",9986:"NEAREST_MIPMAP_LINEAR",9987:"LINEAR_MIPMAP_LINEAR",10240:"TEXTURE_MAG_FILTER",10241:"TEXTURE_MIN_FILTER",10242:"TEXTURE_WRAP_S",10243:"TEXTURE_WRAP_T",10497:"REPEAT",10752:"POLYGON_OFFSET_UNITS",16384:"COLOR_BUFFER_BIT",32769:"CONSTANT_COLOR",32770:"ONE_MINUS_CONSTANT_COLOR",32771:"CONSTANT_ALPHA",32772:"ONE_MINUS_CONSTANT_ALPHA",32773:"BLEND_COLOR",32774:"FUNC_ADD",32777:"BLEND_EQUATION_RGB",32778:"FUNC_SUBTRACT",32779:"FUNC_REVERSE_SUBTRACT",32819:"UNSIGNED_SHORT_4_4_4_4",32820:"UNSIGNED_SHORT_5_5_5_1",32823:"POLYGON_OFFSET_FILL",32824:"POLYGON_OFFSET_FACTOR",32854:"RGBA4",32855:"RGB5_A1",32873:"TEXTURE_BINDING_2D",32926:"SAMPLE_ALPHA_TO_COVERAGE",32928:"SAMPLE_COVERAGE",32936:"SAMPLE_BUFFERS",32937:"SAMPLES",32938:"SAMPLE_COVERAGE_VALUE",32939:"SAMPLE_COVERAGE_INVERT",32968:"BLEND_DST_RGB",32969:"BLEND_SRC_RGB",32970:"BLEND_DST_ALPHA",32971:"BLEND_SRC_ALPHA",33071:"CLAMP_TO_EDGE",33170:"GENERATE_MIPMAP_HINT",33189:"DEPTH_COMPONENT16",33306:"DEPTH_STENCIL_ATTACHMENT",33635:"UNSIGNED_SHORT_5_6_5",33648:"MIRRORED_REPEAT",33901:"ALIASED_POINT_SIZE_RANGE",33902:"ALIASED_LINE_WIDTH_RANGE",33984:"TEXTURE0",33985:"TEXTURE1",33986:"TEXTURE2",33987:"TEXTURE3",33988:"TEXTURE4",33989:"TEXTURE5",33990:"TEXTURE6",33991:"TEXTURE7",33992:"TEXTURE8",33993:"TEXTURE9",33994:"TEXTURE10",33995:"TEXTURE11",33996:"TEXTURE12",33997:"TEXTURE13",33998:"TEXTURE14",33999:"TEXTURE15",34e3:"TEXTURE16",34001:"TEXTURE17",34002:"TEXTURE18",34003:"TEXTURE19",34004:"TEXTURE20",34005:"TEXTURE21",34006:"TEXTURE22",34007:"TEXTURE23",34008:"TEXTURE24",34009:"TEXTURE25",34010:"TEXTURE26",34011:"TEXTURE27",34012:"TEXTURE28",34013:"TEXTURE29",34014:"TEXTURE30",34015:"TEXTURE31",34016:"ACTIVE_TEXTURE",34024:"MAX_RENDERBUFFER_SIZE",34041:"DEPTH_STENCIL",34055:"INCR_WRAP",34056:"DECR_WRAP",34067:"TEXTURE_CUBE_MAP",34068:"TEXTURE_BINDING_CUBE_MAP",34069:"TEXTURE_CUBE_MAP_POSITIVE_X",34070:"TEXTURE_CUBE_MAP_NEGATIVE_X",34071:"TEXTURE_CUBE_MAP_POSITIVE_Y",34072:"TEXTURE_CUBE_MAP_NEGATIVE_Y",34073:"TEXTURE_CUBE_MAP_POSITIVE_Z",34074:"TEXTURE_CUBE_MAP_NEGATIVE_Z",34076:"MAX_CUBE_MAP_TEXTURE_SIZE",34338:"VERTEX_ATTRIB_ARRAY_ENABLED",34339:"VERTEX_ATTRIB_ARRAY_SIZE",34340:"VERTEX_ATTRIB_ARRAY_STRIDE",34341:"VERTEX_ATTRIB_ARRAY_TYPE",34342:"CURRENT_VERTEX_ATTRIB",34373:"VERTEX_ATTRIB_ARRAY_POINTER",34466:"NUM_COMPRESSED_TEXTURE_FORMATS",34467:"COMPRESSED_TEXTURE_FORMATS",34660:"BUFFER_SIZE",34661:"BUFFER_USAGE",34816:"STENCIL_BACK_FUNC",34817:"STENCIL_BACK_FAIL",34818:"STENCIL_BACK_PASS_DEPTH_FAIL",34819:"STENCIL_BACK_PASS_DEPTH_PASS",34877:"BLEND_EQUATION_ALPHA",34921:"MAX_VERTEX_ATTRIBS",34922:"VERTEX_ATTRIB_ARRAY_NORMALIZED",34930:"MAX_TEXTURE_IMAGE_UNITS",34962:"ARRAY_BUFFER",34963:"ELEMENT_ARRAY_BUFFER",34964:"ARRAY_BUFFER_BINDING",34965:"ELEMENT_ARRAY_BUFFER_BINDING",34975:"VERTEX_ATTRIB_ARRAY_BUFFER_BINDING",35040:"STREAM_DRAW",35044:"STATIC_DRAW",35048:"DYNAMIC_DRAW",35632:"FRAGMENT_SHADER",35633:"VERTEX_SHADER",35660:"MAX_VERTEX_TEXTURE_IMAGE_UNITS",35661:"MAX_COMBINED_TEXTURE_IMAGE_UNITS",35663:"SHADER_TYPE",35664:"FLOAT_VEC2",35665:"FLOAT_VEC3",35666:"FLOAT_VEC4",35667:"INT_VEC2",35668:"INT_VEC3",35669:"INT_VEC4",35670:"BOOL",35671:"BOOL_VEC2",35672:"BOOL_VEC3",35673:"BOOL_VEC4",35674:"FLOAT_MAT2",35675:"FLOAT_MAT3",35676:"FLOAT_MAT4",35678:"SAMPLER_2D",35680:"SAMPLER_CUBE",35712:"DELETE_STATUS",35713:"COMPILE_STATUS",35714:"LINK_STATUS",35715:"VALIDATE_STATUS",35716:"INFO_LOG_LENGTH",35717:"ATTACHED_SHADERS",35718:"ACTIVE_UNIFORMS",35719:"ACTIVE_UNIFORM_MAX_LENGTH",35720:"SHADER_SOURCE_LENGTH",35721:"ACTIVE_ATTRIBUTES",35722:"ACTIVE_ATTRIBUTE_MAX_LENGTH",35724:"SHADING_LANGUAGE_VERSION",35725:"CURRENT_PROGRAM",36003:"STENCIL_BACK_REF",36004:"STENCIL_BACK_VALUE_MASK",36005:"STENCIL_BACK_WRITEMASK",36006:"FRAMEBUFFER_BINDING",36007:"RENDERBUFFER_BINDING",36048:"FRAMEBUFFER_ATTACHMENT_OBJECT_TYPE",36049:"FRAMEBUFFER_ATTACHMENT_OBJECT_NAME",36050:"FRAMEBUFFER_ATTACHMENT_TEXTURE_LEVEL",36051:"FRAMEBUFFER_ATTACHMENT_TEXTURE_CUBE_MAP_FACE",36053:"FRAMEBUFFER_COMPLETE",36054:"FRAMEBUFFER_INCOMPLETE_ATTACHMENT",36055:"FRAMEBUFFER_INCOMPLETE_MISSING_ATTACHMENT",36057:"FRAMEBUFFER_INCOMPLETE_DIMENSIONS",36061:"FRAMEBUFFER_UNSUPPORTED",36064:"COLOR_ATTACHMENT0",36096:"DEPTH_ATTACHMENT",36128:"STENCIL_ATTACHMENT",36160:"FRAMEBUFFER",36161:"RENDERBUFFER",36162:"RENDERBUFFER_WIDTH",36163:"RENDERBUFFER_HEIGHT",36164:"RENDERBUFFER_INTERNAL_FORMAT",36168:"STENCIL_INDEX8",36176:"RENDERBUFFER_RED_SIZE",36177:"RENDERBUFFER_GREEN_SIZE",36178:"RENDERBUFFER_BLUE_SIZE",36179:"RENDERBUFFER_ALPHA_SIZE",36180:"RENDERBUFFER_DEPTH_SIZE",36181:"RENDERBUFFER_STENCIL_SIZE",36194:"RGB565",36336:"LOW_FLOAT",36337:"MEDIUM_FLOAT",36338:"HIGH_FLOAT",36339:"LOW_INT",36340:"MEDIUM_INT",36341:"HIGH_INT",36346:"SHADER_COMPILER",36347:"MAX_VERTEX_UNIFORM_VECTORS",36348:"MAX_VARYING_VECTORS",36349:"MAX_FRAGMENT_UNIFORM_VECTORS",37440:"UNPACK_FLIP_Y_WEBGL",37441:"UNPACK_PREMULTIPLY_ALPHA_WEBGL",37442:"CONTEXT_LOST_WEBGL",37443:"UNPACK_COLORSPACE_CONVERSION_WEBGL",37444:"BROWSER_DEFAULT_WEBGL"}},6603:function(t,e,r){var n=r(1950);t.exports=function(t){return n[t]}},3110:function(t,e,r){"use strict";t.exports=function(t){var e=t.gl,r=n(e),o=i(e,[{buffer:r,type:e.FLOAT,size:3,offset:0,stride:40},{buffer:r,type:e.FLOAT,size:4,offset:12,stride:40},{buffer:r,type:e.FLOAT,size:3,offset:28,stride:40}]),l=a(e);l.attributes.position.location=0,l.attributes.color.location=1,l.attributes.offset.location=2;var u=new s(e,r,o,l);return u.update(t),u};var n=r(5827),i=r(2944),a=r(7667),o=[1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1];function s(t,e,r,n){this.gl=t,this.shader=n,this.buffer=e,this.vao=r,this.pixelRatio=1,this.bounds=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]],this.clipBounds=[[-1/0,-1/0,-1/0],[1/0,1/0,1/0]],this.lineWidth=[1,1,1],this.capSize=[10,10,10],this.lineCount=[0,0,0],this.lineOffset=[0,0,0],this.opacity=1,this.hasAlpha=!1}var l=s.prototype;function u(t,e){for(var r=0;r<3;++r)t[0][r]=Math.min(t[0][r],e[r]),t[1][r]=Math.max(t[1][r],e[r])}l.isOpaque=function(){return!this.hasAlpha},l.isTransparent=function(){return this.hasAlpha},l.drawTransparent=l.draw=function(t){var e=this.gl,r=this.shader.uniforms;this.shader.bind();var n=r.view=t.view||o,i=r.projection=t.projection||o;r.model=t.model||o,r.clipBounds=this.clipBounds,r.opacity=this.opacity;var a=n[12],s=n[13],l=n[14],u=n[15],c=(t._ortho?2:1)*this.pixelRatio*(i[3]*a+i[7]*s+i[11]*l+i[15]*u)/e.drawingBufferHeight;this.vao.bind();for(var f=0;f<3;++f)e.lineWidth(this.lineWidth[f]*this.pixelRatio),r.capSize=this.capSize[f]*c,this.lineCount[f]&&e.drawArrays(e.LINES,this.lineOffset[f],this.lineCount[f]);this.vao.unbind()};var c=function(){for(var t=new Array(3),e=0;e<3;++e){for(var r=[],n=1;n<=2;++n)for(var i=-1;i<=1;i+=2){var a=[0,0,0];a[(n+e)%3]=i,r.push(a)}t[e]=r}return t}();function f(t,e,r,n){for(var i=c[n],a=0;a0&&((p=c.slice())[s]+=d[1][s],i.push(c[0],c[1],c[2],v[0],v[1],v[2],v[3],0,0,0,p[0],p[1],p[2],v[0],v[1],v[2],v[3],0,0,0),u(this.bounds,p),o+=2+f(i,p,v,s)))}this.lineCount[s]=o-this.lineOffset[s]}this.buffer.update(i)}},l.dispose=function(){this.shader.dispose(),this.buffer.dispose(),this.vao.dispose()}},7667:function(t,e,r){"use strict";var n=r(6832),i=r(5158),a=n(["precision highp float;\n#define GLSLIFY 1\n\nattribute vec3 position, offset;\nattribute vec4 color;\nuniform mat4 model, view, projection;\nuniform float capSize;\nvarying vec4 fragColor;\nvarying vec3 fragPosition;\n\nvoid main() {\n vec4 worldPosition = model * vec4(position, 1.0);\n worldPosition = (worldPosition / worldPosition.w) + vec4(capSize * offset, 0.0);\n gl_Position = projection * view * worldPosition;\n fragColor = color;\n fragPosition = position;\n}"]),o=n(["precision highp float;\n#define GLSLIFY 1\n\nbool outOfRange(float a, float b, float p) {\n return ((p > max(a, b)) || \n (p < min(a, b)));\n}\n\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\n return (outOfRange(a.x, b.x, p.x) ||\n outOfRange(a.y, b.y, p.y));\n}\n\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\n return (outOfRange(a.x, b.x, p.x) ||\n outOfRange(a.y, b.y, p.y) ||\n outOfRange(a.z, b.z, p.z));\n}\n\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\n return outOfRange(a.xyz, b.xyz, p.xyz);\n}\n\nuniform vec3 clipBounds[2];\nuniform float opacity;\nvarying vec3 fragPosition;\nvarying vec4 fragColor;\n\nvoid main() {\n if (\n outOfRange(clipBounds[0], clipBounds[1], fragPosition) ||\n fragColor.a * opacity == 0.\n ) discard;\n\n gl_FragColor = opacity * fragColor;\n}"]);t.exports=function(t){return i(t,a,o,null,[{name:"position",type:"vec3"},{name:"color",type:"vec4"},{name:"offset",type:"vec3"}])}},4234:function(t,e,r){"use strict";var n=r(8931);t.exports=function(t,e,r,n){i||(i=t.FRAMEBUFFER_UNSUPPORTED,a=t.FRAMEBUFFER_INCOMPLETE_ATTACHMENT,o=t.FRAMEBUFFER_INCOMPLETE_DIMENSIONS,s=t.FRAMEBUFFER_INCOMPLETE_MISSING_ATTACHMENT);var u=t.getExtension("WEBGL_draw_buffers");if(!l&&u&&function(t,e){var r=t.getParameter(e.MAX_COLOR_ATTACHMENTS_WEBGL);l=new Array(r+1);for(var n=0;n<=r;++n){for(var i=new Array(r),a=0;ac||r<0||r>c)throw new Error("gl-fbo: Parameters are too large for FBO");var f=1;if("color"in(n=n||{})){if((f=Math.max(0|n.color,0))<0)throw new Error("gl-fbo: Must specify a nonnegative number of colors");if(f>1){if(!u)throw new Error("gl-fbo: Multiple draw buffer extension not supported");if(f>t.getParameter(u.MAX_COLOR_ATTACHMENTS_WEBGL))throw new Error("gl-fbo: Context does not support "+f+" draw buffers")}}var h=t.UNSIGNED_BYTE,p=t.getExtension("OES_texture_float");if(n.float&&f>0){if(!p)throw new Error("gl-fbo: Context does not support floating point textures");h=t.FLOAT}else n.preferFloat&&f>0&&p&&(h=t.FLOAT);var v=!0;"depth"in n&&(v=!!n.depth);var g=!1;return"stencil"in n&&(g=!!n.stencil),new d(t,e,r,h,f,v,g,u)};var i,a,o,s,l=null;function u(t){return[t.getParameter(t.FRAMEBUFFER_BINDING),t.getParameter(t.RENDERBUFFER_BINDING),t.getParameter(t.TEXTURE_BINDING_2D)]}function c(t,e){t.bindFramebuffer(t.FRAMEBUFFER,e[0]),t.bindRenderbuffer(t.RENDERBUFFER,e[1]),t.bindTexture(t.TEXTURE_2D,e[2])}function f(t){switch(t){case i:throw new Error("gl-fbo: Framebuffer unsupported");case a:throw new Error("gl-fbo: Framebuffer incomplete attachment");case o:throw new Error("gl-fbo: Framebuffer incomplete dimensions");case s:throw new Error("gl-fbo: Framebuffer incomplete missing attachment");default:throw new Error("gl-fbo: Framebuffer failed for unspecified reason")}}function h(t,e,r,i,a,o){if(!i)return null;var s=n(t,e,r,a,i);return 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x=r.checkFramebufferStatus(r.FRAMEBUFFER);if(x!==r.FRAMEBUFFER_COMPLETE){for(t._destroyed=!0,r.bindFramebuffer(r.FRAMEBUFFER,null),r.deleteFramebuffer(t.handle),t.handle=null,t.depth&&(t.depth.dispose(),t.depth=null),t._depth_rb&&(r.deleteRenderbuffer(t._depth_rb),t._depth_rb=null),y=0;yi||r<0||r>i)throw new Error("gl-fbo: Can't resize FBO, invalid dimensions");t._shape[0]=e,t._shape[1]=r;for(var a=u(n),o=0;o>8*p&255;this.pickOffset=r,i.bind();var d=i.uniforms;d.viewTransform=t,d.pickOffset=e,d.shape=this.shape;var v=i.attributes;return this.positionBuffer.bind(),v.position.pointer(),this.weightBuffer.bind(),v.weight.pointer(s.UNSIGNED_BYTE,!1),this.idBuffer.bind(),v.pickId.pointer(s.UNSIGNED_BYTE,!1),s.drawArrays(s.TRIANGLES,0,o),r+this.shape[0]*this.shape[1]}}}(),f.pick=function(t,e,r){var n=this.pickOffset,i=this.shape[0]*this.shape[1];if(r=n+i)return null;var a=r-n,o=this.xData,s=this.yData;return{object:this,pointId:a,dataCoord:[o[a%this.shape[0]],s[a/this.shape[0]|0]]}},f.update=function(t){var e=(t=t||{}).shape||[0,0],r=t.x||i(e[0]),o=t.y||i(e[1]),s=t.z||new Float32Array(e[0]*e[1]),l=!1!==t.zsmooth;this.xData=r,this.yData=o;var u,c,f,p,d=t.colorLevels||[0],v=t.colorValues||[0,0,0,1],g=d.length,y=this.bounds;l?(u=y[0]=r[0],c=y[1]=o[0],f=y[2]=r[r.length-1],p=y[3]=o[o.length-1]):(u=y[0]=r[0]+(r[1]-r[0])/2,c=y[1]=o[0]+(o[1]-o[0])/2,f=y[2]=r[r.length-1]+(r[r.length-1]-r[r.length-2])/2,p=y[3]=o[o.length-1]+(o[o.length-1]-o[o.length-2])/2);var m=1/(f-u),x=1/(p-c),b=e[0],_=e[1];this.shape=[b,_];var w=(l?(b-1)*(_-1):b*_)*(h.length>>>1);this.numVertices=w;for(var T=a.mallocUint8(4*w),k=a.mallocFloat32(2*w),A=a.mallocUint8(2*w),M=a.mallocUint32(w),S=0,E=l?b-1:b,L=l?_-1:_,C=0;C max(a, b)) || \n (p < min(a, b)));\n}\n\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\n return (outOfRange(a.x, b.x, p.x) ||\n outOfRange(a.y, b.y, p.y));\n}\n\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\n return (outOfRange(a.x, b.x, p.x) ||\n outOfRange(a.y, b.y, p.y) ||\n outOfRange(a.z, b.z, p.z));\n}\n\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\n return outOfRange(a.xyz, b.xyz, p.xyz);\n}\n\nuniform vec3 clipBounds[2];\nuniform sampler2D dashTexture;\nuniform float dashScale;\nuniform float opacity;\n\nvarying vec3 worldPosition;\nvarying float pixelArcLength;\nvarying vec4 fragColor;\n\nvoid main() {\n if (\n outOfRange(clipBounds[0], clipBounds[1], worldPosition) ||\n fragColor.a * opacity == 0.\n ) discard;\n\n float dashWeight = texture2D(dashTexture, vec2(dashScale * pixelArcLength, 0)).r;\n if(dashWeight < 0.5) {\n discard;\n }\n gl_FragColor = fragColor * opacity;\n}\n"]),s=n(["precision highp float;\n#define GLSLIFY 1\n\n#define FLOAT_MAX 1.70141184e38\n#define FLOAT_MIN 1.17549435e-38\n\n// https://github.com/mikolalysenko/glsl-read-float/blob/master/index.glsl\nvec4 packFloat(float v) {\n float av = abs(v);\n\n //Handle special cases\n if(av < FLOAT_MIN) {\n return vec4(0.0, 0.0, 0.0, 0.0);\n } else if(v > FLOAT_MAX) {\n return vec4(127.0, 128.0, 0.0, 0.0) / 255.0;\n } else if(v < -FLOAT_MAX) {\n return vec4(255.0, 128.0, 0.0, 0.0) / 255.0;\n }\n\n vec4 c = vec4(0,0,0,0);\n\n //Compute exponent and mantissa\n float e = floor(log2(av));\n float m = av * pow(2.0, -e) - 1.0;\n\n //Unpack mantissa\n c[1] = floor(128.0 * m);\n m -= c[1] / 128.0;\n c[2] = floor(32768.0 * m);\n m -= c[2] / 32768.0;\n c[3] = floor(8388608.0 * m);\n\n //Unpack exponent\n float ebias = e + 127.0;\n c[0] = floor(ebias / 2.0);\n ebias -= c[0] * 2.0;\n c[1] += floor(ebias) * 128.0;\n\n //Unpack sign bit\n c[0] += 128.0 * step(0.0, -v);\n\n //Scale back to range\n return c / 255.0;\n}\n\nbool outOfRange(float a, float b, float p) {\n return ((p > max(a, b)) || \n (p < min(a, b)));\n}\n\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\n return (outOfRange(a.x, b.x, p.x) ||\n outOfRange(a.y, b.y, p.y));\n}\n\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\n return (outOfRange(a.x, b.x, p.x) ||\n outOfRange(a.y, b.y, p.y) ||\n outOfRange(a.z, b.z, p.z));\n}\n\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\n return outOfRange(a.xyz, b.xyz, p.xyz);\n}\n\nuniform float pickId;\nuniform vec3 clipBounds[2];\n\nvarying vec3 worldPosition;\nvarying float pixelArcLength;\nvarying vec4 fragColor;\n\nvoid main() {\n if (outOfRange(clipBounds[0], clipBounds[1], worldPosition)) discard;\n\n gl_FragColor = vec4(pickId/255.0, packFloat(pixelArcLength).xyz);\n}"]),l=[{name:"position",type:"vec3"},{name:"nextPosition",type:"vec3"},{name:"arcLength",type:"float"},{name:"lineWidth",type:"float"},{name:"color",type:"vec4"}];e.createShader=function(t){return i(t,a,o,null,l)},e.createPickShader=function(t){return i(t,a,s,null,l)}},6086:function(t,e,r){"use strict";t.exports=function(t){var e=t.gl||t.scene&&t.scene.gl,r=f(e);r.attributes.position.location=0,r.attributes.nextPosition.location=1,r.attributes.arcLength.location=2,r.attributes.lineWidth.location=3,r.attributes.color.location=4;var o=h(e);o.attributes.position.location=0,o.attributes.nextPosition.location=1,o.attributes.arcLength.location=2,o.attributes.lineWidth.location=3,o.attributes.color.location=4;for(var s=n(e),l=i(e,[{buffer:s,size:3,offset:0,stride:48},{buffer:s,size:3,offset:12,stride:48},{buffer:s,size:1,offset:24,stride:48},{buffer:s,size:1,offset:28,stride:48},{buffer:s,size:4,offset:32,stride:48}]),c=u(new Array(1024),[256,1,4]),p=0;p<1024;++p)c.data[p]=255;var d=a(e,c);d.wrap=e.REPEAT;var v=new y(e,r,o,s,l,d);return v.update(t),v};var n=r(5827),i=r(2944),a=r(8931),o=new Uint8Array(4),s=new Float32Array(o.buffer),l=r(5070),u=r(5050),c=r(248),f=c.createShader,h=c.createPickShader,p=[1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1];function d(t,e){for(var r=0,n=0;n<3;++n){var i=t[n]-e[n];r+=i*i}return Math.sqrt(r)}function v(t){for(var e=[[-1e6,-1e6,-1e6],[1e6,1e6,1e6]],r=0;r<3;++r)e[0][r]=Math.max(t[0][r],e[0][r]),e[1][r]=Math.min(t[1][r],e[1][r]);return e}function g(t,e,r,n){this.arcLength=t,this.position=e,this.index=r,this.dataCoordinate=n}function y(t,e,r,n,i,a){this.gl=t,this.shader=e,this.pickShader=r,this.buffer=n,this.vao=i,this.clipBounds=[[-1/0,-1/0,-1/0],[1/0,1/0,1/0]],this.points=[],this.arcLength=[],this.vertexCount=0,this.bounds=[[0,0,0],[0,0,0]],this.pickId=0,this.lineWidth=1,this.texture=a,this.dashScale=1,this.opacity=1,this.hasAlpha=!1,this.dirty=!0,this.pixelRatio=1}var m=y.prototype;m.isTransparent=function(){return this.hasAlpha},m.isOpaque=function(){return!this.hasAlpha},m.pickSlots=1,m.setPickBase=function(t){this.pickId=t},m.drawTransparent=m.draw=function(t){if(this.vertexCount){var e=this.gl,r=this.shader,n=this.vao;r.bind(),r.uniforms={model:t.model||p,view:t.view||p,projection:t.projection||p,clipBounds:v(this.clipBounds),dashTexture:this.texture.bind(),dashScale:this.dashScale/this.arcLength[this.arcLength.length-1],opacity:this.opacity,screenShape:[e.drawingBufferWidth,e.drawingBufferHeight],pixelRatio:this.pixelRatio},n.bind(),n.draw(e.TRIANGLE_STRIP,this.vertexCount),n.unbind()}},m.drawPick=function(t){if(this.vertexCount){var e=this.gl,r=this.pickShader,n=this.vao;r.bind(),r.uniforms={model:t.model||p,view:t.view||p,projection:t.projection||p,pickId:this.pickId,clipBounds:v(this.clipBounds),screenShape:[e.drawingBufferWidth,e.drawingBufferHeight],pixelRatio:this.pixelRatio},n.bind(),n.draw(e.TRIANGLE_STRIP,this.vertexCount),n.unbind()}},m.update=function(t){var e,r;this.dirty=!0;var n=!!t.connectGaps;"dashScale"in t&&(this.dashScale=t.dashScale),this.hasAlpha=!1,"opacity"in t&&(this.opacity=+t.opacity,this.opacity<1&&(this.hasAlpha=!0));var i=[],a=[],o=[],s=0,c=0,f=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]],h=t.position||t.positions;if(h){var p=t.color||t.colors||[0,0,0,1],v=t.lineWidth||1,g=!1;t:for(e=1;e0){for(var w=0;w<24;++w)i.push(i[i.length-12]);c+=2,g=!0}continue t}f[0][r]=Math.min(f[0][r],b[r],_[r]),f[1][r]=Math.max(f[1][r],b[r],_[r])}Array.isArray(p[0])?(y=p.length>e-1?p[e-1]:p.length>0?p[p.length-1]:[0,0,0,1],m=p.length>e?p[e]:p.length>0?p[p.length-1]:[0,0,0,1]):y=m=p,3===y.length&&(y=[y[0],y[1],y[2],1]),3===m.length&&(m=[m[0],m[1],m[2],1]),!this.hasAlpha&&y[3]<1&&(this.hasAlpha=!0),x=Array.isArray(v)?v.length>e-1?v[e-1]:v.length>0?v[v.length-1]:[0,0,0,1]:v;var T=s;if(s+=d(b,_),g){for(r=0;r<2;++r)i.push(b[0],b[1],b[2],_[0],_[1],_[2],T,x,y[0],y[1],y[2],y[3]);c+=2,g=!1}i.push(b[0],b[1],b[2],_[0],_[1],_[2],T,x,y[0],y[1],y[2],y[3],b[0],b[1],b[2],_[0],_[1],_[2],T,-x,y[0],y[1],y[2],y[3],_[0],_[1],_[2],b[0],b[1],b[2],s,-x,m[0],m[1],m[2],m[3],_[0],_[1],_[2],b[0],b[1],b[2],s,x,m[0],m[1],m[2],m[3]),c+=4}}if(this.buffer.update(i),a.push(s),o.push(h[h.length-1].slice()),this.bounds=f,this.vertexCount=c,this.points=o,this.arcLength=a,"dashes"in t){var k=t.dashes.slice();for(k.unshift(0),e=1;e1.0001)return null;y+=g[f]}return Math.abs(y-1)>.001?null:[h,s(t,g),g]}},2056:function(t,e,r){var n=r(6832),i=n(["precision highp float;\n#define GLSLIFY 1\n\nattribute vec3 position, normal;\nattribute vec4 color;\nattribute vec2 uv;\n\nuniform mat4 model\n , view\n , projection\n , inverseModel;\nuniform vec3 eyePosition\n , lightPosition;\n\nvarying vec3 f_normal\n , f_lightDirection\n , f_eyeDirection\n , f_data;\nvarying vec4 f_color;\nvarying vec2 f_uv;\n\nvec4 project(vec3 p) {\n return projection * view * model * vec4(p, 1.0);\n}\n\nvoid main() {\n gl_Position = project(position);\n\n //Lighting geometry parameters\n vec4 cameraCoordinate = view * vec4(position , 1.0);\n cameraCoordinate.xyz /= cameraCoordinate.w;\n f_lightDirection = lightPosition - cameraCoordinate.xyz;\n f_eyeDirection = eyePosition - cameraCoordinate.xyz;\n f_normal = normalize((vec4(normal, 0.0) * inverseModel).xyz);\n\n f_color = color;\n f_data = position;\n f_uv = uv;\n}\n"]),a=n(["#extension GL_OES_standard_derivatives : enable\n\nprecision highp float;\n#define GLSLIFY 1\n\nfloat beckmannDistribution(float x, float roughness) {\n float NdotH = max(x, 0.0001);\n float cos2Alpha = NdotH * NdotH;\n float tan2Alpha = (cos2Alpha - 1.0) / cos2Alpha;\n float roughness2 = roughness * roughness;\n float denom = 3.141592653589793 * roughness2 * cos2Alpha * cos2Alpha;\n return exp(tan2Alpha / roughness2) / denom;\n}\n\nfloat cookTorranceSpecular(\n vec3 lightDirection,\n vec3 viewDirection,\n vec3 surfaceNormal,\n float roughness,\n float fresnel) {\n\n float VdotN = max(dot(viewDirection, surfaceNormal), 0.0);\n float LdotN = max(dot(lightDirection, surfaceNormal), 0.0);\n\n //Half angle vector\n vec3 H = normalize(lightDirection + viewDirection);\n\n //Geometric term\n float NdotH = max(dot(surfaceNormal, H), 0.0);\n float VdotH = max(dot(viewDirection, H), 0.000001);\n float LdotH = max(dot(lightDirection, H), 0.000001);\n float G1 = (2.0 * NdotH * VdotN) / VdotH;\n float G2 = (2.0 * NdotH * LdotN) / LdotH;\n float G = min(1.0, min(G1, G2));\n \n //Distribution term\n float D = beckmannDistribution(NdotH, roughness);\n\n //Fresnel term\n float F = pow(1.0 - VdotN, fresnel);\n\n //Multiply terms and done\n return G * F * D / max(3.14159265 * VdotN, 0.000001);\n}\n\n//#pragma glslify: beckmann = require(glsl-specular-beckmann) // used in gl-surface3d\n\nbool outOfRange(float a, float b, float p) {\n return ((p > max(a, b)) || \n (p < min(a, b)));\n}\n\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\n return (outOfRange(a.x, b.x, p.x) ||\n outOfRange(a.y, b.y, p.y));\n}\n\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\n return (outOfRange(a.x, b.x, p.x) ||\n outOfRange(a.y, b.y, p.y) ||\n outOfRange(a.z, b.z, p.z));\n}\n\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\n return outOfRange(a.xyz, b.xyz, p.xyz);\n}\n\nuniform vec3 clipBounds[2];\nuniform float roughness\n , fresnel\n , kambient\n , kdiffuse\n , kspecular;\nuniform sampler2D texture;\n\nvarying vec3 f_normal\n , f_lightDirection\n , f_eyeDirection\n , f_data;\nvarying vec4 f_color;\nvarying vec2 f_uv;\n\nvoid main() {\n if (f_color.a == 0.0 ||\n outOfRange(clipBounds[0], clipBounds[1], f_data)\n ) discard;\n\n vec3 N = normalize(f_normal);\n vec3 L = normalize(f_lightDirection);\n vec3 V = normalize(f_eyeDirection);\n\n if(gl_FrontFacing) {\n N = -N;\n }\n\n float specular = min(1.0, max(0.0, cookTorranceSpecular(L, V, N, roughness, fresnel)));\n //float specular = max(0.0, beckmann(L, V, N, roughness)); // used in gl-surface3d\n\n float diffuse = min(kambient + kdiffuse * max(dot(N, L), 0.0), 1.0);\n\n vec4 surfaceColor = vec4(f_color.rgb, 1.0) * texture2D(texture, f_uv);\n vec4 litColor = surfaceColor.a * vec4(diffuse * surfaceColor.rgb + kspecular * vec3(1,1,1) * specular, 1.0);\n\n gl_FragColor = litColor * f_color.a;\n}\n"]),o=n(["precision highp float;\n#define GLSLIFY 1\n\nattribute vec3 position;\nattribute vec4 color;\nattribute vec2 uv;\n\nuniform mat4 model, view, projection;\n\nvarying vec4 f_color;\nvarying vec3 f_data;\nvarying vec2 f_uv;\n\nvoid main() {\n gl_Position = projection * view * model * vec4(position, 1.0);\n f_color = color;\n f_data = position;\n f_uv = uv;\n}"]),s=n(["precision highp float;\n#define GLSLIFY 1\n\nbool outOfRange(float a, float b, float p) {\n return ((p > max(a, b)) || \n (p < min(a, b)));\n}\n\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\n return (outOfRange(a.x, b.x, p.x) ||\n outOfRange(a.y, b.y, p.y));\n}\n\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\n return (outOfRange(a.x, b.x, p.x) ||\n outOfRange(a.y, b.y, p.y) ||\n outOfRange(a.z, b.z, p.z));\n}\n\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\n return outOfRange(a.xyz, b.xyz, p.xyz);\n}\n\nuniform vec3 clipBounds[2];\nuniform sampler2D texture;\nuniform float opacity;\n\nvarying vec4 f_color;\nvarying vec3 f_data;\nvarying vec2 f_uv;\n\nvoid main() {\n if (outOfRange(clipBounds[0], clipBounds[1], f_data)) discard;\n\n gl_FragColor = f_color * texture2D(texture, f_uv) * opacity;\n}"]),l=n(["precision highp float;\n#define GLSLIFY 1\n\nbool outOfRange(float a, float b, float p) {\n return ((p > max(a, b)) || \n (p < min(a, b)));\n}\n\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\n return (outOfRange(a.x, b.x, p.x) ||\n outOfRange(a.y, b.y, p.y));\n}\n\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\n return (outOfRange(a.x, b.x, p.x) ||\n outOfRange(a.y, b.y, p.y) ||\n outOfRange(a.z, b.z, p.z));\n}\n\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\n return outOfRange(a.xyz, b.xyz, p.xyz);\n}\n\nattribute vec3 position;\nattribute vec4 color;\nattribute vec2 uv;\nattribute float pointSize;\n\nuniform mat4 model, view, projection;\nuniform vec3 clipBounds[2];\n\nvarying vec4 f_color;\nvarying vec2 f_uv;\n\nvoid main() {\n if (outOfRange(clipBounds[0], clipBounds[1], position)) {\n\n gl_Position = vec4(0.0, 0.0 ,0.0 ,0.0);\n } else {\n gl_Position = projection * view * model * vec4(position, 1.0);\n }\n gl_PointSize = pointSize;\n f_color = color;\n f_uv = uv;\n}"]),u=n(["precision highp float;\n#define GLSLIFY 1\n\nuniform sampler2D texture;\nuniform float opacity;\n\nvarying vec4 f_color;\nvarying vec2 f_uv;\n\nvoid main() {\n vec2 pointR = gl_PointCoord.xy - vec2(0.5, 0.5);\n if(dot(pointR, pointR) > 0.25) {\n discard;\n }\n gl_FragColor = f_color * texture2D(texture, f_uv) * opacity;\n}"]),c=n(["precision highp float;\n#define GLSLIFY 1\n\nattribute vec3 position;\nattribute vec4 id;\n\nuniform mat4 model, view, projection;\n\nvarying vec3 f_position;\nvarying vec4 f_id;\n\nvoid main() {\n gl_Position = projection * view * model * vec4(position, 1.0);\n f_id = id;\n f_position = position;\n}"]),f=n(["precision highp float;\n#define GLSLIFY 1\n\nbool outOfRange(float a, float b, float p) {\n return ((p > max(a, b)) || \n (p < min(a, b)));\n}\n\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\n return (outOfRange(a.x, b.x, p.x) ||\n outOfRange(a.y, b.y, p.y));\n}\n\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\n return (outOfRange(a.x, b.x, p.x) ||\n outOfRange(a.y, b.y, p.y) ||\n outOfRange(a.z, b.z, p.z));\n}\n\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\n return outOfRange(a.xyz, b.xyz, p.xyz);\n}\n\nuniform vec3 clipBounds[2];\nuniform float pickId;\n\nvarying vec3 f_position;\nvarying vec4 f_id;\n\nvoid main() {\n if (outOfRange(clipBounds[0], clipBounds[1], f_position)) discard;\n\n gl_FragColor = vec4(pickId, f_id.xyz);\n}"]),h=n(["precision highp float;\n#define GLSLIFY 1\n\nbool outOfRange(float a, float b, float p) {\n return ((p > max(a, b)) || \n (p < min(a, b)));\n}\n\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\n return (outOfRange(a.x, b.x, p.x) ||\n outOfRange(a.y, b.y, p.y));\n}\n\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\n return (outOfRange(a.x, b.x, p.x) ||\n outOfRange(a.y, b.y, p.y) ||\n outOfRange(a.z, b.z, p.z));\n}\n\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\n return outOfRange(a.xyz, b.xyz, p.xyz);\n}\n\nattribute vec3 position;\nattribute float pointSize;\nattribute vec4 id;\n\nuniform mat4 model, view, projection;\nuniform vec3 clipBounds[2];\n\nvarying vec3 f_position;\nvarying vec4 f_id;\n\nvoid main() {\n if (outOfRange(clipBounds[0], clipBounds[1], position)) {\n\n gl_Position = vec4(0.0, 0.0, 0.0, 0.0);\n } else {\n gl_Position = projection * view * model * vec4(position, 1.0);\n gl_PointSize = pointSize;\n }\n f_id = id;\n f_position = position;\n}"]),p=n(["precision highp float;\n#define GLSLIFY 1\n\nattribute vec3 position;\n\nuniform mat4 model, view, projection;\n\nvoid main() {\n gl_Position = projection * view * model * vec4(position, 1.0);\n}"]),d=n(["precision highp float;\n#define GLSLIFY 1\n\nuniform vec3 contourColor;\n\nvoid main() {\n gl_FragColor = vec4(contourColor, 1.0);\n}\n"]);e.meshShader={vertex:i,fragment:a,attributes:[{name:"position",type:"vec3"},{name:"normal",type:"vec3"},{name:"color",type:"vec4"},{name:"uv",type:"vec2"}]},e.wireShader={vertex:o,fragment:s,attributes:[{name:"position",type:"vec3"},{name:"color",type:"vec4"},{name:"uv",type:"vec2"}]},e.pointShader={vertex:l,fragment:u,attributes:[{name:"position",type:"vec3"},{name:"color",type:"vec4"},{name:"uv",type:"vec2"},{name:"pointSize",type:"float"}]},e.pickShader={vertex:c,fragment:f,attributes:[{name:"position",type:"vec3"},{name:"id",type:"vec4"}]},e.pointPickShader={vertex:h,fragment:f,attributes:[{name:"position",type:"vec3"},{name:"pointSize",type:"float"},{name:"id",type:"vec4"}]},e.contourShader={vertex:p,fragment:d,attributes:[{name:"position",type:"vec3"}]}},8116:function(t,e,r){"use strict";var n=r(5158),i=r(5827),a=r(2944),o=r(8931),s=r(115),l=r(104),u=r(7437),c=r(5050),f=r(9156),h=r(7212),p=r(5306),d=r(2056),v=r(4340),g=d.meshShader,y=d.wireShader,m=d.pointShader,x=d.pickShader,b=d.pointPickShader,_=d.contourShader,w=[1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1];function T(t,e,r,n,i,a,o,s,l,u,c,f,h,p,d,v,g,y,m,x,b,_,T,k,A,M,S){this.gl=t,this.pixelRatio=1,this.cells=[],this.positions=[],this.intensity=[],this.texture=e,this.dirty=!0,this.triShader=r,this.lineShader=n,this.pointShader=i,this.pickShader=a,this.pointPickShader=o,this.contourShader=s,this.trianglePositions=l,this.triangleColors=c,this.triangleNormals=h,this.triangleUVs=f,this.triangleIds=u,this.triangleVAO=p,this.triangleCount=0,this.lineWidth=1,this.edgePositions=d,this.edgeColors=g,this.edgeUVs=y,this.edgeIds=v,this.edgeVAO=m,this.edgeCount=0,this.pointPositions=x,this.pointColors=_,this.pointUVs=T,this.pointSizes=k,this.pointIds=b,this.pointVAO=A,this.pointCount=0,this.contourLineWidth=1,this.contourPositions=M,this.contourVAO=S,this.contourCount=0,this.contourColor=[0,0,0],this.contourEnable=!0,this.pickVertex=!0,this.pickId=1,this.bounds=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]],this.clipBounds=[[-1/0,-1/0,-1/0],[1/0,1/0,1/0]],this.lightPosition=[1e5,1e5,0],this.ambientLight=.8,this.diffuseLight=.8,this.specularLight=2,this.roughness=.5,this.fresnel=1.5,this.opacity=1,this.hasAlpha=!1,this.opacityscale=!1,this._model=w,this._view=w,this._projection=w,this._resolution=[1,1]}var k=T.prototype;function A(t,e){if(!e)return 1;if(!e.length)return 1;for(var r=0;rt&&r>0){var n=(e[r][0]-t)/(e[r][0]-e[r-1][0]);return e[r][1]*(1-n)+n*e[r-1][1]}}return 1}function M(t){var e=n(t,m.vertex,m.fragment);return e.attributes.position.location=0,e.attributes.color.location=2,e.attributes.uv.location=3,e.attributes.pointSize.location=4,e}function S(t){var e=n(t,x.vertex,x.fragment);return e.attributes.position.location=0,e.attributes.id.location=1,e}function E(t){var e=n(t,b.vertex,b.fragment);return e.attributes.position.location=0,e.attributes.id.location=1,e.attributes.pointSize.location=4,e}function L(t){var e=n(t,_.vertex,_.fragment);return e.attributes.position.location=0,e}k.isOpaque=function(){return!this.hasAlpha},k.isTransparent=function(){return this.hasAlpha},k.pickSlots=1,k.setPickBase=function(t){this.pickId=t},k.highlight=function(t){if(t&&this.contourEnable){for(var e=h(this.cells,this.intensity,t.intensity),r=e.cells,n=e.vertexIds,i=e.vertexWeights,a=r.length,o=p.mallocFloat32(6*a),s=0,l=0;l0&&((f=this.triShader).bind(),f.uniforms=s,this.triangleVAO.bind(),e.drawArrays(e.TRIANGLES,0,3*this.triangleCount),this.triangleVAO.unbind()),this.edgeCount>0&&this.lineWidth>0&&((f=this.lineShader).bind(),f.uniforms=s,this.edgeVAO.bind(),e.lineWidth(this.lineWidth*this.pixelRatio),e.drawArrays(e.LINES,0,2*this.edgeCount),this.edgeVAO.unbind()),this.pointCount>0&&((f=this.pointShader).bind(),f.uniforms=s,this.pointVAO.bind(),e.drawArrays(e.POINTS,0,this.pointCount),this.pointVAO.unbind()),this.contourEnable&&this.contourCount>0&&this.contourLineWidth>0&&((f=this.contourShader).bind(),f.uniforms=s,this.contourVAO.bind(),e.drawArrays(e.LINES,0,this.contourCount),this.contourVAO.unbind())},k.drawPick=function(t){t=t||{};for(var e=this.gl,r=t.model||w,n=t.view||w,i=t.projection||w,a=[[-1e6,-1e6,-1e6],[1e6,1e6,1e6]],o=0;o<3;++o)a[0][o]=Math.max(a[0][o],this.clipBounds[0][o]),a[1][o]=Math.min(a[1][o],this.clipBounds[1][o]);this._model=[].slice.call(r),this._view=[].slice.call(n),this._projection=[].slice.call(i),this._resolution=[e.drawingBufferWidth,e.drawingBufferHeight];var s,l={model:r,view:n,projection:i,clipBounds:a,pickId:this.pickId/255};(s=this.pickShader).bind(),s.uniforms=l,this.triangleCount>0&&(this.triangleVAO.bind(),e.drawArrays(e.TRIANGLES,0,3*this.triangleCount),this.triangleVAO.unbind()),this.edgeCount>0&&(this.edgeVAO.bind(),e.lineWidth(this.lineWidth*this.pixelRatio),e.drawArrays(e.LINES,0,2*this.edgeCount),this.edgeVAO.unbind()),this.pointCount>0&&((s=this.pointPickShader).bind(),s.uniforms=l,this.pointVAO.bind(),e.drawArrays(e.POINTS,0,this.pointCount),this.pointVAO.unbind())},k.pick=function(t){if(!t)return null;if(t.id!==this.pickId)return null;for(var e=t.value[0]+256*t.value[1]+65536*t.value[2],r=this.cells[e],n=this.positions,i=new Array(r.length),a=0;ai[k]&&(r.uniforms.dataAxis=u,r.uniforms.screenOffset=c,r.uniforms.color=g[t],r.uniforms.angle=y[t],a.drawArrays(a.TRIANGLES,i[k],i[A]-i[k]))),m[t]&&T&&(c[1^t]-=M*p*x[t],r.uniforms.dataAxis=f,r.uniforms.screenOffset=c,r.uniforms.color=b[t],r.uniforms.angle=_[t],a.drawArrays(a.TRIANGLES,w,T)),c[1^t]=M*s[2+(1^t)]-1,d[t+2]&&(c[1^t]+=M*p*v[t+2],ki[k]&&(r.uniforms.dataAxis=u,r.uniforms.screenOffset=c,r.uniforms.color=g[t+2],r.uniforms.angle=y[t+2],a.drawArrays(a.TRIANGLES,i[k],i[A]-i[k]))),m[t+2]&&T&&(c[1^t]+=M*p*x[t+2],r.uniforms.dataAxis=f,r.uniforms.screenOffset=c,r.uniforms.color=b[t+2],r.uniforms.angle=_[t+2],a.drawArrays(a.TRIANGLES,w,T))}),v.drawTitle=function(){var t=[0,0],e=[0,0];return function(){var r=this.plot,n=this.shader,i=r.gl,a=r.screenBox,o=r.titleCenter,s=r.titleAngle,l=r.titleColor,u=r.pixelRatio;if(this.titleCount){for(var c=0;c<2;++c)e[c]=2*(o[c]*u-a[c])/(a[2+c]-a[c])-1;n.bind(),n.uniforms.dataAxis=t,n.uniforms.screenOffset=e,n.uniforms.angle=s,n.uniforms.color=l,i.drawArrays(i.TRIANGLES,this.titleOffset,this.titleCount)}}}(),v.bind=(h=[0,0],p=[0,0],d=[0,0],function(){var t=this.plot,e=this.shader,r=t._tickBounds,n=t.dataBox,i=t.screenBox,a=t.viewBox;e.bind();for(var o=0;o<2;++o){var s=r[o],l=r[o+2]-s,u=.5*(n[o+2]+n[o]),c=n[o+2]-n[o],f=a[o],v=a[o+2]-f,g=i[o],y=i[o+2]-g;p[o]=2*l/c*v/y,h[o]=2*(s-u)/c*v/y}d[1]=2*t.pixelRatio/(i[3]-i[1]),d[0]=d[1]*(i[3]-i[1])/(i[2]-i[0]),e.uniforms.dataScale=p,e.uniforms.dataShift=h,e.uniforms.textScale=d,this.vbo.bind(),e.attributes.textCoordinate.pointer()}),v.update=function(t){var e,r,n,i,o,s=[],l=t.ticks,u=t.bounds;for(o=0;o<2;++o){var c=[Math.floor(s.length/3)],f=[-1/0],h=l[o];for(e=0;e=0){var v=e[d]-n[d]*(e[d+2]-e[d])/(n[d+2]-n[d]);0===d?o.drawLine(v,e[1],v,e[3],p[d],h[d]):o.drawLine(e[0],v,e[2],v,p[d],h[d])}}for(d=0;d=0;--t)this.objects[t].dispose();for(this.objects.length=0,t=this.overlays.length-1;t>=0;--t)this.overlays[t].dispose();this.overlays.length=0,this.gl=null},u.addObject=function(t){this.objects.indexOf(t)<0&&(this.objects.push(t),this.setDirty())},u.removeObject=function(t){for(var e=this.objects,r=0;rMath.abs(e))u.rotate(a,0,0,-t*r*Math.PI*d.rotateSpeed/window.innerWidth);else if(!d._ortho){var o=-d.zoomSpeed*i*e/window.innerHeight*(a-u.lastT())/20;u.pan(a,0,0,f*(Math.exp(o)-1))}}}),!0)},d.enableMouseListeners(),d};var n=r(8161),i=r(1152),a=r(6145),o=r(6475),s=r(2565),l=r(5233)},8245:function(t,e,r){var n=r(6832),i=r(5158),a=n(["precision mediump float;\n#define GLSLIFY 1\nattribute vec2 position;\nvarying vec2 uv;\nvoid main() {\n uv = position;\n gl_Position = vec4(position, 0, 1);\n}"]),o=n(["precision mediump float;\n#define GLSLIFY 1\n\nuniform sampler2D accumBuffer;\nvarying vec2 uv;\n\nvoid main() {\n vec4 accum = texture2D(accumBuffer, 0.5 * (uv + 1.0));\n gl_FragColor = min(vec4(1,1,1,1), accum);\n}"]);t.exports=function(t){return i(t,a,o,null,[{name:"position",type:"vec2"}])}},1059:function(t,e,r){"use strict";var n=r(4296),i=r(7453),a=r(2771),o=r(6496),s=r(2611),l=r(4234),u=r(8126),c=r(6145),f=r(1120),h=r(5268),p=r(8245),d=r(2321)({tablet:!0,featureDetect:!0});function v(){this.mouse=[-1,-1],this.screen=null,this.distance=1/0,this.index=null,this.dataCoordinate=null,this.dataPosition=null,this.object=null,this.data=null}function g(t){var e=Math.round(Math.log(Math.abs(t))/Math.log(10));if(e<0){var r=Math.round(Math.pow(10,-e));return Math.ceil(t*r)/r}return e>0?(r=Math.round(Math.pow(10,e)),Math.ceil(t/r)*r):Math.ceil(t)}function y(t){return"boolean"!=typeof t||t}t.exports={createScene:function(t){(t=t||{}).camera=t.camera||{};var e=t.canvas;e||(e=document.createElement("canvas"),t.container?t.container.appendChild(e):document.body.appendChild(e));var r=t.gl;if(r||(t.glOptions&&(d=!!t.glOptions.preserveDrawingBuffer),r=function(t,e){var r=null;try{(r=t.getContext("webgl",e))||(r=t.getContext("experimental-webgl",e))}catch(t){return null}return r}(e,t.glOptions||{premultipliedAlpha:!0,antialias:!0,preserveDrawingBuffer:d})),!r)throw new Error("webgl not supported");var m=t.bounds||[[-10,-10,-10],[10,10,10]],x=new v,b=l(r,r.drawingBufferWidth,r.drawingBufferHeight,{preferFloat:!d}),_=p(r),w=t.cameraObject&&!0===t.cameraObject._ortho||t.camera.projection&&"orthographic"===t.camera.projection.type||!1,T={eye:t.camera.eye||[2,0,0],center:t.camera.center||[0,0,0],up:t.camera.up||[0,1,0],zoomMin:t.camera.zoomMax||.1,zoomMax:t.camera.zoomMin||100,mode:t.camera.mode||"turntable",_ortho:w},k=t.axes||{},A=i(r,k);A.enable=!k.disable;var M=t.spikes||{},S=o(r,M),E=[],L=[],C=[],P=[],O=!0,I=!0,D={view:null,projection:new Array(16),model:new Array(16),_ortho:!1},z=(I=!0,[r.drawingBufferWidth,r.drawingBufferHeight]),R=t.cameraObject||n(e,T),F={gl:r,contextLost:!1,pixelRatio:t.pixelRatio||1,canvas:e,selection:x,camera:R,axes:A,axesPixels:null,spikes:S,bounds:m,objects:E,shape:z,aspect:t.aspectRatio||[1,1,1],pickRadius:t.pickRadius||10,zNear:t.zNear||.01,zFar:t.zFar||1e3,fovy:t.fovy||Math.PI/4,clearColor:t.clearColor||[0,0,0,0],autoResize:y(t.autoResize),autoBounds:y(t.autoBounds),autoScale:!!t.autoScale,autoCenter:y(t.autoCenter),clipToBounds:y(t.clipToBounds),snapToData:!!t.snapToData,onselect:t.onselect||null,onrender:t.onrender||null,onclick:t.onclick||null,cameraParams:D,oncontextloss:null,mouseListener:null,_stopped:!1,getAspectratio:function(){return{x:this.aspect[0],y:this.aspect[1],z:this.aspect[2]}},setAspectratio:function(t){this.aspect[0]=t.x,this.aspect[1]=t.y,this.aspect[2]=t.z,I=!0},setBounds:function(t,e){this.bounds[0][t]=e.min,this.bounds[1][t]=e.max},setClearColor:function(t){this.clearColor=t},clearRGBA:function(){this.gl.clearColor(this.clearColor[0],this.clearColor[1],this.clearColor[2],this.clearColor[3]),this.gl.clear(this.gl.COLOR_BUFFER_BIT|this.gl.DEPTH_BUFFER_BIT)}},B=[r.drawingBufferWidth/F.pixelRatio|0,r.drawingBufferHeight/F.pixelRatio|0];function N(){if(!F._stopped&&F.autoResize){var t=e.parentNode,r=1,n=1;t&&t!==document.body?(r=t.clientWidth,n=t.clientHeight):(r=window.innerWidth,n=window.innerHeight);var i=0|Math.ceil(r*F.pixelRatio),a=0|Math.ceil(n*F.pixelRatio);if(i!==e.width||a!==e.height){e.width=i,e.height=a;var o=e.style;o.position=o.position||"absolute",o.left="0px",o.top="0px",o.width=r+"px",o.height=n+"px",O=!0}}}function j(){for(var t=E.length,e=P.length,n=0;n0&&0===C[e-1];)C.pop(),P.pop().dispose()}function U(){if(F.contextLost)return!0;r.isContextLost()&&(F.contextLost=!0,F.mouseListener.enabled=!1,F.selection.object=null,F.oncontextloss&&F.oncontextloss())}F.autoResize&&N(),window.addEventListener("resize",N),F.update=function(t){F._stopped||(t=t||{},O=!0,I=!0)},F.add=function(t){F._stopped||(t.axes=A,E.push(t),L.push(-1),O=!0,I=!0,j())},F.remove=function(t){if(!F._stopped){var e=E.indexOf(t);e<0||(E.splice(e,1),L.pop(),O=!0,I=!0,j())}},F.dispose=function(){if(!F._stopped&&(F._stopped=!0,window.removeEventListener("resize",N),e.removeEventListener("webglcontextlost",U),F.mouseListener.enabled=!1,!F.contextLost)){A.dispose(),S.dispose();for(var t=0;tx.distance)continue;for(var u=0;u 1.0) {\n discard;\n }\n baseColor = mix(borderColor, color, step(radius, centerFraction));\n gl_FragColor = vec4(baseColor.rgb * baseColor.a, baseColor.a);\n }\n}\n"]),e.pickVertex=n(["precision mediump float;\n#define GLSLIFY 1\n\nattribute vec2 position;\nattribute vec4 pickId;\n\nuniform mat3 matrix;\nuniform float pointSize;\nuniform vec4 pickOffset;\n\nvarying vec4 fragId;\n\nvoid main() {\n vec3 hgPosition = matrix * vec3(position, 1);\n gl_Position = vec4(hgPosition.xy, 0, hgPosition.z);\n gl_PointSize = pointSize;\n\n vec4 id = pickId + pickOffset;\n id.y += floor(id.x / 256.0);\n id.x -= floor(id.x / 256.0) * 256.0;\n\n id.z += floor(id.y / 256.0);\n id.y -= floor(id.y / 256.0) * 256.0;\n\n id.w += floor(id.z / 256.0);\n id.z -= floor(id.z / 256.0) * 256.0;\n\n fragId = id;\n}\n"]),e.pickFragment=n(["precision mediump float;\n#define GLSLIFY 1\n\nvarying vec4 fragId;\n\nvoid main() {\n float radius = length(2.0 * gl_PointCoord.xy - 1.0);\n if(radius > 1.0) {\n discard;\n }\n gl_FragColor = fragId / 255.0;\n}\n"])},8271:function(t,e,r){"use strict";var n=r(5158),i=r(5827),a=r(5306),o=r(8023);function s(t,e,r,n,i){this.plot=t,this.offsetBuffer=e,this.pickBuffer=r,this.shader=n,this.pickShader=i,this.sizeMin=.5,this.sizeMinCap=2,this.sizeMax=20,this.areaRatio=1,this.pointCount=0,this.color=[1,0,0,1],this.borderColor=[0,0,0,1],this.blend=!1,this.pickOffset=0,this.points=null}t.exports=function(t,e){var r=t.gl,a=new s(t,i(r),i(r),n(r,o.pointVertex,o.pointFragment),n(r,o.pickVertex,o.pickFragment));return a.update(e),t.addObject(a),a};var l,u,c=s.prototype;c.dispose=function(){this.shader.dispose(),this.pickShader.dispose(),this.offsetBuffer.dispose(),this.pickBuffer.dispose(),this.plot.removeObject(this)},c.update=function(t){var e;function r(e,r){return e in t?t[e]:r}t=t||{},this.sizeMin=r("sizeMin",.5),this.sizeMax=r("sizeMax",20),this.color=r("color",[1,0,0,1]).slice(),this.areaRatio=r("areaRatio",1),this.borderColor=r("borderColor",[0,0,0,1]).slice(),this.blend=r("blend",!1);var n=t.positions.length>>>1,i=t.positions instanceof Float32Array,o=t.idToIndex instanceof Int32Array&&t.idToIndex.length>=n,s=t.positions,l=i?s:a.mallocFloat32(s.length),u=o?t.idToIndex:a.mallocInt32(n);if(i||l.set(s),!o)for(l.set(s),e=0;e>>1;for(r=0;r=e[0]&&a<=e[2]&&o>=e[1]&&o<=e[3]&&n++}return n}(this.points,i),c=this.plot.pickPixelRatio*Math.max(Math.min(this.sizeMinCap,this.sizeMin),Math.min(this.sizeMax,this.sizeMax/Math.pow(s,.33333)));l[0]=2/a,l[4]=2/o,l[6]=-2*i[0]/a-1,l[7]=-2*i[1]/o-1,this.offsetBuffer.bind(),r.bind(),r.attributes.position.pointer(),r.uniforms.matrix=l,r.uniforms.color=this.color,r.uniforms.borderColor=this.borderColor,r.uniforms.pointCloud=c<5,r.uniforms.pointSize=c,r.uniforms.centerFraction=Math.min(1,Math.max(0,Math.sqrt(1-this.areaRatio))),e&&(u[0]=255&t,u[1]=t>>8&255,u[2]=t>>16&255,u[3]=t>>24&255,this.pickBuffer.bind(),r.attributes.pickId.pointer(n.UNSIGNED_BYTE),r.uniforms.pickOffset=u,this.pickOffset=t);var f=n.getParameter(n.BLEND),h=n.getParameter(n.DITHER);return f&&!this.blend&&n.disable(n.BLEND),h&&n.disable(n.DITHER),n.drawArrays(n.POINTS,0,this.pointCount),f&&!this.blend&&n.enable(n.BLEND),h&&n.enable(n.DITHER),t+this.pointCount}),c.draw=c.unifiedDraw,c.drawPick=c.unifiedDraw,c.pick=function(t,e,r){var n=this.pickOffset,i=this.pointCount;if(r=n+i)return null;var a=r-n,o=this.points;return{object:this,pointId:a,dataCoord:[o[2*a],o[2*a+1]]}}},6093:function(t){t.exports=function(t,e,r,n){var i,a,o,s,l,u=e[0],c=e[1],f=e[2],h=e[3],p=r[0],d=r[1],v=r[2],g=r[3];return(a=u*p+c*d+f*v+h*g)<0&&(a=-a,p=-p,d=-d,v=-v,g=-g),1-a>1e-6?(i=Math.acos(a),o=Math.sin(i),s=Math.sin((1-n)*i)/o,l=Math.sin(n*i)/o):(s=1-n,l=n),t[0]=s*u+l*p,t[1]=s*c+l*d,t[2]=s*f+l*v,t[3]=s*h+l*g,t}},8240:function(t){"use strict";t.exports=function(t){return t||0===t?t.toString():""}},4123:function(t,e,r){"use strict";var n=r(875);t.exports=function(t,e,r){var a=i[e];if(a||(a=i[e]={}),t in a)return a[t];var o={textAlign:"center",textBaseline:"middle",lineHeight:1,font:e,lineSpacing:1.25,styletags:{breaklines:!0,bolds:!0,italics:!0,subscripts:!0,superscripts:!0},triangles:!0},s=n(t,o);o.triangles=!1;var l,u,c=n(t,o);if(r&&1!==r){for(l=0;l max(a, b)) || \n (p < min(a, b)));\n}\n\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\n return (outOfRange(a.x, b.x, p.x) ||\n outOfRange(a.y, b.y, p.y));\n}\n\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\n return (outOfRange(a.x, b.x, p.x) ||\n outOfRange(a.y, b.y, p.y) ||\n outOfRange(a.z, b.z, p.z));\n}\n\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\n return outOfRange(a.xyz, b.xyz, p.xyz);\n}\n\nattribute vec3 position;\nattribute vec4 color;\nattribute vec2 glyph;\nattribute vec4 id;\n\nuniform vec4 highlightId;\nuniform float highlightScale;\nuniform mat4 model, view, projection;\nuniform vec3 clipBounds[2];\n\nvarying vec4 interpColor;\nvarying vec4 pickId;\nvarying vec3 dataCoordinate;\n\nvoid main() {\n if (outOfRange(clipBounds[0], clipBounds[1], position)) {\n\n gl_Position = vec4(0,0,0,0);\n } else {\n float scale = 1.0;\n if(distance(highlightId, id) < 0.0001) {\n scale = highlightScale;\n }\n\n vec4 worldPosition = model * vec4(position, 1);\n vec4 viewPosition = view * worldPosition;\n viewPosition = viewPosition / viewPosition.w;\n vec4 clipPosition = projection * (viewPosition + scale * vec4(glyph.x, -glyph.y, 0, 0));\n\n gl_Position = clipPosition;\n interpColor = color;\n pickId = id;\n dataCoordinate = position;\n }\n}"]),o=i(["precision highp float;\n#define GLSLIFY 1\n\nbool outOfRange(float a, float b, float p) {\n return ((p > max(a, b)) || \n (p < min(a, b)));\n}\n\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\n return (outOfRange(a.x, b.x, p.x) ||\n outOfRange(a.y, b.y, p.y));\n}\n\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\n return (outOfRange(a.x, b.x, p.x) ||\n outOfRange(a.y, b.y, p.y) ||\n outOfRange(a.z, b.z, p.z));\n}\n\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\n return outOfRange(a.xyz, b.xyz, p.xyz);\n}\n\nattribute vec3 position;\nattribute vec4 color;\nattribute vec2 glyph;\nattribute vec4 id;\n\nuniform mat4 model, view, projection;\nuniform vec2 screenSize;\nuniform vec3 clipBounds[2];\nuniform float highlightScale, pixelRatio;\nuniform vec4 highlightId;\n\nvarying vec4 interpColor;\nvarying vec4 pickId;\nvarying vec3 dataCoordinate;\n\nvoid main() {\n if (outOfRange(clipBounds[0], clipBounds[1], position)) {\n\n gl_Position = vec4(0,0,0,0);\n } else {\n float scale = pixelRatio;\n if(distance(highlightId.bgr, id.bgr) < 0.001) {\n scale *= highlightScale;\n }\n\n vec4 worldPosition = model * vec4(position, 1.0);\n vec4 viewPosition = view * worldPosition;\n vec4 clipPosition = projection * viewPosition;\n clipPosition /= clipPosition.w;\n\n gl_Position = clipPosition + vec4(screenSize * scale * vec2(glyph.x, -glyph.y), 0.0, 0.0);\n interpColor = color;\n pickId = id;\n dataCoordinate = position;\n }\n}"]),s=i(["precision highp float;\n#define GLSLIFY 1\n\nbool outOfRange(float a, float b, float p) {\n return ((p > max(a, b)) || \n (p < min(a, b)));\n}\n\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\n return (outOfRange(a.x, b.x, p.x) ||\n outOfRange(a.y, b.y, p.y));\n}\n\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\n return (outOfRange(a.x, b.x, p.x) ||\n outOfRange(a.y, b.y, p.y) ||\n outOfRange(a.z, b.z, p.z));\n}\n\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\n return outOfRange(a.xyz, b.xyz, p.xyz);\n}\n\nattribute vec3 position;\nattribute vec4 color;\nattribute vec2 glyph;\nattribute vec4 id;\n\nuniform float highlightScale;\nuniform vec4 highlightId;\nuniform vec3 axes[2];\nuniform mat4 model, view, projection;\nuniform vec2 screenSize;\nuniform vec3 clipBounds[2];\nuniform float scale, pixelRatio;\n\nvarying vec4 interpColor;\nvarying vec4 pickId;\nvarying vec3 dataCoordinate;\n\nvoid main() {\n if (outOfRange(clipBounds[0], clipBounds[1], position)) {\n\n gl_Position = vec4(0,0,0,0);\n } else {\n float lscale = pixelRatio * scale;\n if(distance(highlightId, id) < 0.0001) {\n lscale *= highlightScale;\n }\n\n vec4 clipCenter = projection * view * model * vec4(position, 1);\n vec3 dataPosition = position + 0.5*lscale*(axes[0] * glyph.x + axes[1] * glyph.y) * clipCenter.w * screenSize.y;\n vec4 clipPosition = projection * view * model * vec4(dataPosition, 1);\n\n gl_Position = clipPosition;\n interpColor = color;\n pickId = id;\n dataCoordinate = dataPosition;\n }\n}\n"]),l=i(["precision highp float;\n#define GLSLIFY 1\n\nbool outOfRange(float a, float b, float p) {\n return ((p > max(a, b)) || \n (p < min(a, b)));\n}\n\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\n return (outOfRange(a.x, b.x, p.x) ||\n outOfRange(a.y, b.y, p.y));\n}\n\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\n return (outOfRange(a.x, b.x, p.x) ||\n outOfRange(a.y, b.y, p.y) ||\n outOfRange(a.z, b.z, p.z));\n}\n\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\n return outOfRange(a.xyz, b.xyz, p.xyz);\n}\n\nuniform vec3 fragClipBounds[2];\nuniform float opacity;\n\nvarying vec4 interpColor;\nvarying vec3 dataCoordinate;\n\nvoid main() {\n if (\n outOfRange(fragClipBounds[0], fragClipBounds[1], dataCoordinate) ||\n interpColor.a * opacity == 0.\n ) discard;\n gl_FragColor = interpColor * opacity;\n}\n"]),u=i(["precision highp float;\n#define GLSLIFY 1\n\nbool outOfRange(float a, float b, float p) {\n return ((p > max(a, b)) || \n (p < min(a, b)));\n}\n\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\n return (outOfRange(a.x, b.x, p.x) ||\n outOfRange(a.y, b.y, p.y));\n}\n\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\n return (outOfRange(a.x, b.x, p.x) ||\n outOfRange(a.y, b.y, p.y) ||\n outOfRange(a.z, b.z, p.z));\n}\n\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\n return outOfRange(a.xyz, b.xyz, p.xyz);\n}\n\nuniform vec3 fragClipBounds[2];\nuniform float pickGroup;\n\nvarying vec4 pickId;\nvarying vec3 dataCoordinate;\n\nvoid main() {\n if (outOfRange(fragClipBounds[0], fragClipBounds[1], dataCoordinate)) discard;\n\n gl_FragColor = vec4(pickGroup, pickId.bgr);\n}"]),c=[{name:"position",type:"vec3"},{name:"color",type:"vec4"},{name:"glyph",type:"vec2"},{name:"id",type:"vec4"}],f={vertex:a,fragment:l,attributes:c},h={vertex:o,fragment:l,attributes:c},p={vertex:s,fragment:l,attributes:c},d={vertex:a,fragment:u,attributes:c},v={vertex:o,fragment:u,attributes:c},g={vertex:s,fragment:u,attributes:c};function y(t,e){var r=n(t,e),i=r.attributes;return i.position.location=0,i.color.location=1,i.glyph.location=2,i.id.location=3,r}e.createPerspective=function(t){return y(t,f)},e.createOrtho=function(t){return y(t,h)},e.createProject=function(t){return y(t,p)},e.createPickPerspective=function(t){return y(t,d)},e.createPickOrtho=function(t){return y(t,v)},e.createPickProject=function(t){return y(t,g)}},2182:function(t,e,r){"use strict";var n=r(3596),i=r(5827),a=r(2944),o=r(5306),s=r(104),l=r(9282),u=r(4123),c=r(8240),f=[1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1];function h(t,e){var r=t[0],n=t[1],i=t[2],a=t[3];return t[0]=e[0]*r+e[4]*n+e[8]*i+e[12]*a,t[1]=e[1]*r+e[5]*n+e[9]*i+e[13]*a,t[2]=e[2]*r+e[6]*n+e[10]*i+e[14]*a,t[3]=e[3]*r+e[7]*n+e[11]*i+e[15]*a,t}function p(t,e,r,n){return h(n,n),h(n,n),h(n,n)}function d(t,e){this.index=t,this.dataCoordinate=this.position=e}function v(t){return!0===t||t>1?1:t}function g(t,e,r,n,i,a,o,s,l,u,c,f){this.gl=t,this.pixelRatio=1,this.shader=e,this.orthoShader=r,this.projectShader=n,this.pointBuffer=i,this.colorBuffer=a,this.glyphBuffer=o,this.idBuffer=s,this.vao=l,this.vertexCount=0,this.lineVertexCount=0,this.opacity=1,this.hasAlpha=!1,this.lineWidth=0,this.projectScale=[2/3,2/3,2/3],this.projectOpacity=[1,1,1],this.projectHasAlpha=!1,this.pickId=0,this.pickPerspectiveShader=u,this.pickOrthoShader=c,this.pickProjectShader=f,this.points=[],this._selectResult=new d(0,[0,0,0]),this.useOrtho=!0,this.bounds=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]],this.axesProject=[!0,!0,!0],this.axesBounds=[[-1/0,-1/0,-1/0],[1/0,1/0,1/0]],this.highlightId=[1,1,1,1],this.highlightScale=2,this.clipBounds=[[-1/0,-1/0,-1/0],[1/0,1/0,1/0]],this.dirty=!0}t.exports=function(t){var e=t.gl,r=l.createPerspective(e),n=l.createOrtho(e),o=l.createProject(e),s=l.createPickPerspective(e),u=l.createPickOrtho(e),c=l.createPickProject(e),f=i(e),h=i(e),p=i(e),d=i(e),v=new g(e,r,n,o,f,h,p,d,a(e,[{buffer:f,size:3,type:e.FLOAT},{buffer:h,size:4,type:e.FLOAT},{buffer:p,size:2,type:e.FLOAT},{buffer:d,size:4,type:e.UNSIGNED_BYTE,normalized:!0}]),s,u,c);return v.update(t),v};var y=g.prototype;y.pickSlots=1,y.setPickBase=function(t){this.pickId=t},y.isTransparent=function(){if(this.hasAlpha)return!0;for(var t=0;t<3;++t)if(this.axesProject[t]&&this.projectHasAlpha)return!0;return!1},y.isOpaque=function(){if(!this.hasAlpha)return!0;for(var t=0;t<3;++t)if(this.axesProject[t]&&!this.projectHasAlpha)return!0;return!1};var m=[0,0],x=[0,0,0],b=[0,0,0],_=[0,0,0,1],w=[0,0,0,1],T=f.slice(),k=[0,0,0],A=[[0,0,0],[0,0,0]];function M(t){return t[0]=t[1]=t[2]=0,t}function S(t,e){return t[0]=e[0],t[1]=e[1],t[2]=e[2],t[3]=1,t}function E(t,e,r,n){return t[0]=e[0],t[1]=e[1],t[2]=e[2],t[r]=n,t}var L=[[-1e8,-1e8,-1e8],[1e8,1e8,1e8]];function C(t,e,r,n,i,a,o){var l=r.gl;if((a===r.projectHasAlpha||o)&&function(t,e,r,n){var i,a=e.axesProject,o=e.gl,l=t.uniforms,u=r.model||f,c=r.view||f,h=r.projection||f,d=e.axesBounds,v=function(t){for(var e=A,r=0;r<2;++r)for(var n=0;n<3;++n)e[r][n]=Math.max(Math.min(t[r][n],1e8),-1e8);return e}(e.clipBounds);i=e.axes&&e.axes.lastCubeProps?e.axes.lastCubeProps.axis:[1,1,1],m[0]=2/o.drawingBufferWidth,m[1]=2/o.drawingBufferHeight,t.bind(),l.view=c,l.projection=h,l.screenSize=m,l.highlightId=e.highlightId,l.highlightScale=e.highlightScale,l.clipBounds=v,l.pickGroup=e.pickId/255,l.pixelRatio=n;for(var g=0;g<3;++g)if(a[g]){l.scale=e.projectScale[g],l.opacity=e.projectOpacity[g];for(var y=T,L=0;L<16;++L)y[L]=0;for(L=0;L<4;++L)y[5*L]=1;y[5*g]=0,i[g]<0?y[12+g]=d[0][g]:y[12+g]=d[1][g],s(y,u,y),l.model=y;var C=(g+1)%3,P=(g+2)%3,O=M(x),I=M(b);O[C]=1,I[P]=1;var D=p(0,0,0,S(_,O)),z=p(0,0,0,S(w,I));if(Math.abs(D[1])>Math.abs(z[1])){var R=D;D=z,z=R,R=O,O=I,I=R;var F=C;C=P,P=F}D[0]<0&&(O[C]=-1),z[1]>0&&(I[P]=-1);var B=0,N=0;for(L=0;L<4;++L)B+=Math.pow(u[4*C+L],2),N+=Math.pow(u[4*P+L],2);O[C]/=Math.sqrt(B),I[P]/=Math.sqrt(N),l.axes[0]=O,l.axes[1]=I,l.fragClipBounds[0]=E(k,v[0],g,-1e8),l.fragClipBounds[1]=E(k,v[1],g,1e8),e.vao.bind(),e.vao.draw(o.TRIANGLES,e.vertexCount),e.lineWidth>0&&(o.lineWidth(e.lineWidth*n),e.vao.draw(o.LINES,e.lineVertexCount,e.vertexCount)),e.vao.unbind()}}(e,r,n,i),a===r.hasAlpha||o){t.bind();var u=t.uniforms;u.model=n.model||f,u.view=n.view||f,u.projection=n.projection||f,m[0]=2/l.drawingBufferWidth,m[1]=2/l.drawingBufferHeight,u.screenSize=m,u.highlightId=r.highlightId,u.highlightScale=r.highlightScale,u.fragClipBounds=L,u.clipBounds=r.axes.bounds,u.opacity=r.opacity,u.pickGroup=r.pickId/255,u.pixelRatio=i,r.vao.bind(),r.vao.draw(l.TRIANGLES,r.vertexCount),r.lineWidth>0&&(l.lineWidth(r.lineWidth*i),r.vao.draw(l.LINES,r.lineVertexCount,r.vertexCount)),r.vao.unbind()}}function P(t,e,r,i){var a;a=Array.isArray(t)?e=this.pointCount||e<0)return null;var r=this.points[e],n=this._selectResult;n.index=e;for(var i=0;i<3;++i)n.position[i]=n.dataCoordinate[i]=r[i];return n},y.highlight=function(t){if(t){var e=t.index,r=255&e,n=e>>8&255,i=e>>16&255;this.highlightId=[r/255,n/255,i/255,0]}else this.highlightId=[1,1,1,1]},y.update=function(t){if("perspective"in(t=t||{})&&(this.useOrtho=!t.perspective),"orthographic"in t&&(this.useOrtho=!!t.orthographic),"lineWidth"in t&&(this.lineWidth=t.lineWidth),"project"in t)if(Array.isArray(t.project))this.axesProject=t.project;else{var e=!!t.project;this.axesProject=[e,e,e]}if("projectScale"in t)if(Array.isArray(t.projectScale))this.projectScale=t.projectScale.slice();else{var r=+t.projectScale;this.projectScale=[r,r,r]}if(this.projectHasAlpha=!1,"projectOpacity"in t){Array.isArray(t.projectOpacity)?this.projectOpacity=t.projectOpacity.slice():(r=+t.projectOpacity,this.projectOpacity=[r,r,r]);for(var n=0;n<3;++n)this.projectOpacity[n]=v(this.projectOpacity[n]),this.projectOpacity[n]<1&&(this.projectHasAlpha=!0)}this.hasAlpha=!1,"opacity"in t&&(this.opacity=v(t.opacity),this.opacity<1&&(this.hasAlpha=!0)),this.dirty=!0;var i,a,s=t.position,l=t.font||"normal",u=t.alignment||[0,0];if(2===u.length)i=u[0],a=u[1];else for(i=[],a=[],n=0;n0){var I=0,D=x,z=[0,0,0,1],R=[0,0,0,1],F=Array.isArray(p)&&Array.isArray(p[0]),B=Array.isArray(y)&&Array.isArray(y[0]);t:for(n=0;n<_;++n){for(m+=1,w=s[n],T=0;T<3;++T){if(isNaN(w[T])||!isFinite(w[T]))continue t;f[T]=Math.max(f[T],w[T]),c[T]=Math.min(c[T],w[T])}k=(N=P(h,n,l,this.pixelRatio)).mesh,A=N.lines,M=N.bounds;var N,j=N.visible;if(j)if(Array.isArray(p)){if(3===(U=F?n0?1-M[0][0]:W<0?1+M[1][0]:1,Y*=Y>0?1-M[0][1]:Y<0?1+M[1][1]:1],Z=k.cells||[],K=k.positions||[];for(T=0;T0){var y=r*c;o.drawBox(f-y,h-y,p+y,h+y,a),o.drawBox(f-y,d-y,p+y,d+y,a),o.drawBox(f-y,h-y,f+y,d+y,a),o.drawBox(p-y,h-y,p+y,d+y,a)}}}},s.update=function(t){t=t||{},this.innerFill=!!t.innerFill,this.outerFill=!!t.outerFill,this.innerColor=(t.innerColor||[0,0,0,.5]).slice(),this.outerColor=(t.outerColor||[0,0,0,.5]).slice(),this.borderColor=(t.borderColor||[0,0,0,1]).slice(),this.borderWidth=t.borderWidth||0,this.selectBox=(t.selectBox||this.selectBox).slice()},s.dispose=function(){this.boxBuffer.dispose(),this.boxShader.dispose(),this.plot.removeOverlay(this)}},2611:function(t,e,r){"use strict";t.exports=function(t,e){var r=e[0],a=e[1];return new l(t,n(t,r,a,{}),i.mallocUint8(r*a*4))};var n=r(4234),i=r(5306),a=r(5050),o=r(2288).nextPow2;function s(t,e,r,n,i){this.coord=[t,e],this.id=r,this.value=n,this.distance=i}function l(t,e,r){this.gl=t,this.fbo=e,this.buffer=r,this._readTimeout=null;var n=this;this._readCallback=function(){n.gl&&(e.bind(),t.readPixels(0,0,e.shape[0],e.shape[1],t.RGBA,t.UNSIGNED_BYTE,n.buffer),n._readTimeout=null)}}var u=l.prototype;Object.defineProperty(u,"shape",{get:function(){return this.gl?this.fbo.shape.slice():[0,0]},set:function(t){if(this.gl){this.fbo.shape=t;var e=this.fbo.shape[0],r=this.fbo.shape[1];if(r*e*4>this.buffer.length){i.free(this.buffer);for(var n=this.buffer=i.mallocUint8(o(r*e*4)),a=0;ar)for(t=r;te)for(t=e;t=0){for(var T=0|w.type.charAt(w.type.length-1),k=new Array(T),A=0;A=0;)M+=1;_[m]=M}var S=new Array(r.length);function E(){h.program=o.program(p,h._vref,h._fref,b,_);for(var t=0;t=0){if((d=h.charCodeAt(h.length-1)-48)<2||d>4)throw new n("","Invalid data type for attribute "+f+": "+h);s(t,e,p[0],i,d,a,f)}else{if(!(h.indexOf("mat")>=0))throw new n("","Unknown data type for attribute "+f+": "+h);var d;if((d=h.charCodeAt(h.length-1)-48)<2||d>4)throw new n("","Invalid data type for attribute "+f+": "+h);l(t,e,p,i,d,a,f)}}}return a};var n=r(9068);function i(t,e,r,n,i,a){this._gl=t,this._wrapper=e,this._index=r,this._locations=n,this._dimension=i,this._constFunc=a}var a=i.prototype;a.pointer=function(t,e,r,n){var i=this,a=i._gl,o=i._locations[i._index];a.vertexAttribPointer(o,i._dimension,t||a.FLOAT,!!e,r||0,n||0),a.enableVertexAttribArray(o)},a.set=function(t,e,r,n){return this._constFunc(this._locations[this._index],t,e,r,n)},Object.defineProperty(a,"location",{get:function(){return this._locations[this._index]},set:function(t){return t!==this._locations[this._index]&&(this._locations[this._index]=0|t,this._wrapper.program=null),0|t}});var o=[function(t,e,r){return void 0===r.length?t.vertexAttrib1f(e,r):t.vertexAttrib1fv(e,r)},function(t,e,r,n){return void 0===r.length?t.vertexAttrib2f(e,r,n):t.vertexAttrib2fv(e,r)},function(t,e,r,n,i){return void 0===r.length?t.vertexAttrib3f(e,r,n,i):t.vertexAttrib3fv(e,r)},function(t,e,r,n,i,a){return void 0===r.length?t.vertexAttrib4f(e,r,n,i,a):t.vertexAttrib4fv(e,r)}];function s(t,e,r,n,a,s,l){var u=o[a],c=new i(t,e,r,n,a,u);Object.defineProperty(s,l,{set:function(e){return t.disableVertexAttribArray(n[r]),u(t,n[r],e),e},get:function(){return c},enumerable:!0})}function l(t,e,r,n,i,a,o){for(var l=new Array(i),u=new Array(i),c=0;c4)throw new i("","Invalid uniform dimension type for matrix "+name+": "+m);t["uniformMatrix"+y+"fv"](s[f],!1,h);break}throw new i("","Unknown uniform data type for "+name+": "+m)}if((y=m.charCodeAt(m.length-1)-48)<2||y>4)throw new i("","Invalid data type");switch(m.charAt(0)){case"b":case"i":t["uniform"+y+"iv"](s[f],h);break;case"v":t["uniform"+y+"fv"](s[f],h);break;default:throw new i("","Unrecognized data type for vector "+name+": "+m)}}}}}}function u(t,e){if("object"!=typeof e)return[[t,e]];var r=[];for(var n in e){var i=e[n],a=t;parseInt(n)+""===n?a+="["+n+"]":a+="."+n,"object"==typeof i?r.push.apply(r,u(a,i)):r.push([a,i])}return r}function c(t,e,n){if("object"==typeof n){var u=f(n);Object.defineProperty(t,e,{get:a(u),set:l(n),enumerable:!0,configurable:!1})}else s[n]?Object.defineProperty(t,e,{get:(c=n,function(t,e,r){return t.getUniform(e.program,r[c])}),set:l(n),enumerable:!0,configurable:!1}):t[e]=function(t){switch(t){case"bool":return!1;case"int":case"sampler2D":case"samplerCube":case"float":return 0;default:var e=t.indexOf("vec");if(0<=e&&e<=1&&t.length===4+e){if((r=t.charCodeAt(t.length-1)-48)<2||r>4)throw new i("","Invalid data type");return"b"===t.charAt(0)?o(r,!1):o(r,0)}if(0===t.indexOf("mat")&&4===t.length){var r;if((r=t.charCodeAt(t.length-1)-48)<2||r>4)throw new i("","Invalid uniform dimension type for matrix "+name+": "+t);return o(r*r,0)}throw new i("","Unknown uniform data type for "+name+": "+t)}}(r[n].type);var c}function f(t){var e;if(Array.isArray(t)){e=new Array(t.length);for(var r=0;r1){s[0]in a||(a[s[0]]=[]),a=a[s[0]];for(var l=1;l1)for(var l=0;l 0 U ||b|| > 0.\n // Assign z = 0, x = -b, y = a:\n // a*-b + b*a + c*0 = -ba + ba + 0 = 0\n if (v.x*v.x > v.z*v.z || v.y*v.y > v.z*v.z) {\n return normalize(vec3(-v.y, v.x, 0.0));\n } else {\n return normalize(vec3(0.0, v.z, -v.y));\n }\n}\n\n// Calculate the tube vertex and normal at the given index.\n//\n// The returned vertex is for a tube ring with its center at origin, radius of length(d), pointing in the direction of d.\n//\n// Each tube segment is made up of a ring of vertices.\n// These vertices are used to make up the triangles of the tube by connecting them together in the vertex array.\n// The indexes of tube segments run from 0 to 8.\n//\nvec3 getTubePosition(vec3 d, float index, out vec3 normal) {\n float segmentCount = 8.0;\n\n float angle = 2.0 * 3.14159 * (index / segmentCount);\n\n vec3 u = getOrthogonalVector(d);\n vec3 v = normalize(cross(u, d));\n\n vec3 x = u * cos(angle) * length(d);\n vec3 y = v * sin(angle) * length(d);\n vec3 v3 = x + y;\n\n normal = normalize(v3);\n\n return v3;\n}\n\nattribute vec4 vector;\nattribute vec4 color, position;\nattribute vec2 uv;\n\nuniform float vectorScale, tubeScale;\nuniform mat4 model, view, projection, inverseModel;\nuniform vec3 eyePosition, lightPosition;\n\nvarying vec3 f_normal, f_lightDirection, f_eyeDirection, f_data, f_position;\nvarying vec4 f_color;\nvarying vec2 f_uv;\n\nvoid main() {\n // Scale the vector magnitude to stay constant with\n // model & view changes.\n vec3 normal;\n vec3 XYZ = getTubePosition(mat3(model) * (tubeScale * vector.w * normalize(vector.xyz)), position.w, normal);\n vec4 tubePosition = model * vec4(position.xyz, 1.0) + vec4(XYZ, 0.0);\n\n //Lighting geometry parameters\n vec4 cameraCoordinate = view * tubePosition;\n cameraCoordinate.xyz /= cameraCoordinate.w;\n f_lightDirection = lightPosition - cameraCoordinate.xyz;\n f_eyeDirection = eyePosition - cameraCoordinate.xyz;\n f_normal = normalize((vec4(normal, 0.0) * inverseModel).xyz);\n\n // vec4 m_position = model * vec4(tubePosition, 1.0);\n vec4 t_position = view * tubePosition;\n gl_Position = projection * t_position;\n\n f_color = color;\n f_data = tubePosition.xyz;\n f_position = position.xyz;\n f_uv = uv;\n}\n"]),a=n(["#extension GL_OES_standard_derivatives : enable\n\nprecision highp float;\n#define GLSLIFY 1\n\nfloat beckmannDistribution(float x, float roughness) {\n float NdotH = max(x, 0.0001);\n float cos2Alpha = NdotH * NdotH;\n float tan2Alpha = (cos2Alpha - 1.0) / cos2Alpha;\n float roughness2 = roughness * roughness;\n float denom = 3.141592653589793 * roughness2 * cos2Alpha * cos2Alpha;\n return exp(tan2Alpha / roughness2) / denom;\n}\n\nfloat cookTorranceSpecular(\n vec3 lightDirection,\n vec3 viewDirection,\n vec3 surfaceNormal,\n float roughness,\n float fresnel) {\n\n float VdotN = max(dot(viewDirection, surfaceNormal), 0.0);\n float LdotN = max(dot(lightDirection, surfaceNormal), 0.0);\n\n //Half angle vector\n vec3 H = normalize(lightDirection + viewDirection);\n\n //Geometric term\n float NdotH = max(dot(surfaceNormal, H), 0.0);\n float VdotH = max(dot(viewDirection, H), 0.000001);\n float LdotH = max(dot(lightDirection, H), 0.000001);\n float G1 = (2.0 * NdotH * VdotN) / VdotH;\n float G2 = (2.0 * NdotH * LdotN) / LdotH;\n float G = min(1.0, min(G1, G2));\n \n //Distribution term\n float D = beckmannDistribution(NdotH, roughness);\n\n //Fresnel term\n float F = pow(1.0 - VdotN, fresnel);\n\n //Multiply terms and done\n return G * F * D / max(3.14159265 * VdotN, 0.000001);\n}\n\nbool outOfRange(float a, float b, float p) {\n return ((p > max(a, b)) || \n (p < min(a, b)));\n}\n\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\n return (outOfRange(a.x, b.x, p.x) ||\n outOfRange(a.y, b.y, p.y));\n}\n\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\n return (outOfRange(a.x, b.x, p.x) ||\n outOfRange(a.y, b.y, p.y) ||\n outOfRange(a.z, b.z, p.z));\n}\n\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\n return outOfRange(a.xyz, b.xyz, p.xyz);\n}\n\nuniform vec3 clipBounds[2];\nuniform float roughness, fresnel, kambient, kdiffuse, kspecular, opacity;\nuniform sampler2D texture;\n\nvarying vec3 f_normal, f_lightDirection, f_eyeDirection, f_data, f_position;\nvarying vec4 f_color;\nvarying vec2 f_uv;\n\nvoid main() {\n if (outOfRange(clipBounds[0], clipBounds[1], f_position)) discard;\n vec3 N = normalize(f_normal);\n vec3 L = normalize(f_lightDirection);\n vec3 V = normalize(f_eyeDirection);\n\n if(gl_FrontFacing) {\n N = -N;\n }\n\n float specular = min(1.0, max(0.0, cookTorranceSpecular(L, V, N, roughness, fresnel)));\n float diffuse = min(kambient + kdiffuse * max(dot(N, L), 0.0), 1.0);\n\n vec4 surfaceColor = f_color * texture2D(texture, f_uv);\n vec4 litColor = surfaceColor.a * vec4(diffuse * surfaceColor.rgb + kspecular * vec3(1,1,1) * specular, 1.0);\n\n gl_FragColor = litColor * opacity;\n}\n"]),o=n(["precision highp float;\n\nprecision highp float;\n#define GLSLIFY 1\n\nvec3 getOrthogonalVector(vec3 v) {\n // Return up-vector for only-z vector.\n // Return ax + by + cz = 0, a point that lies on the plane that has v as a normal and that isn't (0,0,0).\n // From the above if-statement we have ||a|| > 0 U ||b|| > 0.\n // Assign z = 0, x = -b, y = a:\n // a*-b + b*a + c*0 = -ba + ba + 0 = 0\n if (v.x*v.x > v.z*v.z || v.y*v.y > v.z*v.z) {\n return normalize(vec3(-v.y, v.x, 0.0));\n } else {\n return normalize(vec3(0.0, v.z, -v.y));\n }\n}\n\n// Calculate the tube vertex and normal at the given index.\n//\n// The returned vertex is for a tube ring with its center at origin, radius of length(d), pointing in the direction of d.\n//\n// Each tube segment is made up of a ring of vertices.\n// These vertices are used to make up the triangles of the tube by connecting them together in the vertex array.\n// The indexes of tube segments run from 0 to 8.\n//\nvec3 getTubePosition(vec3 d, float index, out vec3 normal) {\n float segmentCount = 8.0;\n\n float angle = 2.0 * 3.14159 * (index / segmentCount);\n\n vec3 u = getOrthogonalVector(d);\n vec3 v = normalize(cross(u, d));\n\n vec3 x = u * cos(angle) * length(d);\n vec3 y = v * sin(angle) * length(d);\n vec3 v3 = x + y;\n\n normal = normalize(v3);\n\n return v3;\n}\n\nattribute vec4 vector;\nattribute vec4 position;\nattribute vec4 id;\n\nuniform mat4 model, view, projection;\nuniform float tubeScale;\n\nvarying vec3 f_position;\nvarying vec4 f_id;\n\nvoid main() {\n vec3 normal;\n vec3 XYZ = getTubePosition(mat3(model) * (tubeScale * vector.w * normalize(vector.xyz)), position.w, normal);\n vec4 tubePosition = model * vec4(position.xyz, 1.0) + vec4(XYZ, 0.0);\n\n gl_Position = projection * view * tubePosition;\n f_id = id;\n f_position = position.xyz;\n}\n"]),s=n(["precision highp float;\n#define GLSLIFY 1\n\nbool outOfRange(float a, float b, float p) {\n return ((p > max(a, b)) || \n (p < min(a, b)));\n}\n\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\n return (outOfRange(a.x, b.x, p.x) ||\n outOfRange(a.y, b.y, p.y));\n}\n\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\n return (outOfRange(a.x, b.x, p.x) ||\n outOfRange(a.y, b.y, p.y) ||\n outOfRange(a.z, b.z, p.z));\n}\n\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\n return outOfRange(a.xyz, b.xyz, p.xyz);\n}\n\nuniform vec3 clipBounds[2];\nuniform float pickId;\n\nvarying vec3 f_position;\nvarying vec4 f_id;\n\nvoid main() {\n if (outOfRange(clipBounds[0], clipBounds[1], f_position)) discard;\n\n gl_FragColor = vec4(pickId, f_id.xyz);\n}"]);e.meshShader={vertex:i,fragment:a,attributes:[{name:"position",type:"vec4"},{name:"color",type:"vec4"},{name:"uv",type:"vec2"},{name:"vector",type:"vec4"}]},e.pickShader={vertex:o,fragment:s,attributes:[{name:"position",type:"vec4"},{name:"id",type:"vec4"},{name:"vector",type:"vec4"}]}},7307:function(t,e,r){"use strict";var n=r(2858),i=r(4020),a=["xyz","xzy","yxz","yzx","zxy","zyx"],o=function(t,e){var r,n=t.length;for(r=0;re)return r-1}return r},s=function(t,e,r){return tr?r:t},l=function(t){var e=1/0;t.sort((function(t,e){return t-e}));for(var r=t.length,n=1;nf-1||m>h-1||x>p-1)return n.create();var b,_,w,T,k,A,M=a[0][d],S=a[0][y],E=a[1][v],L=a[1][m],C=a[2][g],P=(l-M)/(S-M),O=(u-E)/(L-E),I=(c-C)/(a[2][x]-C);switch(isFinite(P)||(P=.5),isFinite(O)||(O=.5),isFinite(I)||(I=.5),r.reversedX&&(d=f-1-d,y=f-1-y),r.reversedY&&(v=h-1-v,m=h-1-m),r.reversedZ&&(g=p-1-g,x=p-1-x),r.filled){case 5:k=g,A=x,w=v*p,T=m*p,b=d*p*h,_=y*p*h;break;case 4:k=g,A=x,b=d*p,_=y*p,w=v*p*f,T=m*p*f;break;case 3:w=v,T=m,k=g*h,A=x*h,b=d*h*p,_=y*h*p;break;case 2:w=v,T=m,b=d*h,_=y*h,k=g*h*f,A=x*h*f;break;case 1:b=d,_=y,k=g*f,A=x*f,w=v*f*p,T=m*f*p;break;default:b=d,_=y,w=v*f,T=m*f,k=g*f*h,A=x*f*h}var D=i[b+w+k],z=i[b+w+A],R=i[b+T+k],F=i[b+T+A],B=i[_+w+k],N=i[_+w+A],j=i[_+T+k],U=i[_+T+A],V=n.create(),q=n.create(),H=n.create(),G=n.create();n.lerp(V,D,B,P),n.lerp(q,z,N,P),n.lerp(H,R,j,P),n.lerp(G,F,U,P);var W=n.create(),Y=n.create();n.lerp(W,V,H,O),n.lerp(Y,q,G,O);var X=n.create();return n.lerp(X,W,Y,I),X}(e,t,p)},v=t.getDivergence||function(t,e){var r=n.create(),i=1e-4;n.add(r,t,[i,0,0]);var a=d(r);n.subtract(a,a,e),n.scale(a,a,1/i),n.add(r,t,[0,i,0]);var o=d(r);n.subtract(o,o,e),n.scale(o,o,1/i),n.add(r,t,[0,0,i]);var s=d(r);return n.subtract(s,s,e),n.scale(s,s,1/i),n.add(r,a,o),n.add(r,r,s),r},g=[],y=e[0][0],m=e[0][1],x=e[0][2],b=e[1][0],_=e[1][1],w=e[1][2],T=function(t){var e=t[0],r=t[1],n=t[2];return!(eb||r_||nw)},k=10*n.distance(e[0],e[1])/u,A=k*k,M=1,S=0,E=r.length;E>1&&(M=function(t){for(var e=[],r=[],n=[],i={},a={},o={},s=t.length,u=0;uS&&(S=F),z.push(F),g.push({points:P,velocities:O,divergences:z});for(var B=0;B<100*u&&P.lengthA&&n.scale(N,N,k/Math.sqrt(j)),n.add(N,N,C),I=d(N),n.squaredDistance(D,N)-A>-1e-4*A&&(P.push(N),D=N,O.push(I),R=v(N,I),F=n.length(R),isFinite(F)&&F>S&&(S=F),z.push(F)),C=N}}var U=function(t,e,r,a){for(var o=0,s=0;s0)for(T=0;T<8;T++){var k=(T+1)%8;u.push(h[T],p[T],p[k],p[k],h[k],h[T]),f.push(m,y,y,y,m,m),d.push(v,g,g,g,v,v);var A=u.length;c.push([A-6,A-5,A-4],[A-3,A-2,A-1])}var M=h;h=p,p=M;var S=m;m=y,y=S;var E=v;v=g,g=E}return{positions:u,cells:c,vectors:f,vertexIntensity:d}}(t,r,a,o)})),f=[],h=[],p=[],d=[];for(s=0;s max(a, b)) || \n (p < min(a, b)));\n}\n\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\n return (outOfRange(a.x, b.x, p.x) ||\n outOfRange(a.y, b.y, p.y));\n}\n\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\n return (outOfRange(a.x, b.x, p.x) ||\n outOfRange(a.y, b.y, p.y) ||\n outOfRange(a.z, b.z, p.z));\n}\n\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\n return outOfRange(a.xyz, b.xyz, p.xyz);\n}\n\nuniform vec3 lowerBound, upperBound;\nuniform float contourTint;\nuniform vec4 contourColor;\nuniform sampler2D colormap;\nuniform vec3 clipBounds[2];\nuniform float roughness, fresnel, kambient, kdiffuse, kspecular, opacity;\nuniform float vertexColor;\n\nvarying float value, kill;\nvarying vec3 worldCoordinate;\nvarying vec3 lightDirection, eyeDirection, surfaceNormal;\nvarying vec4 vColor;\n\nvoid main() {\n if (\n kill > 0.0 ||\n vColor.a == 0.0 ||\n outOfRange(clipBounds[0], clipBounds[1], worldCoordinate)\n ) discard;\n\n vec3 N = normalize(surfaceNormal);\n vec3 V = normalize(eyeDirection);\n vec3 L = normalize(lightDirection);\n\n if(gl_FrontFacing) {\n N = -N;\n }\n\n float specular = max(beckmannSpecular(L, V, N, roughness), 0.);\n float diffuse = min(kambient + kdiffuse * max(dot(N, L), 0.0), 1.0);\n\n //decide how to interpolate color — in vertex or in fragment\n vec4 surfaceColor =\n step(vertexColor, .5) * texture2D(colormap, vec2(value, value)) +\n step(.5, vertexColor) * vColor;\n\n vec4 litColor = surfaceColor.a * vec4(diffuse * surfaceColor.rgb + kspecular * vec3(1,1,1) * specular, 1.0);\n\n gl_FragColor = mix(litColor, contourColor, contourTint) * opacity;\n}\n"]),s=i(["precision highp float;\n#define GLSLIFY 1\n\nattribute vec4 uv;\nattribute float f;\n\nuniform vec3 objectOffset;\nuniform mat3 permutation;\nuniform mat4 model, view, projection;\nuniform float height, zOffset;\nuniform sampler2D colormap;\n\nvarying float value, kill;\nvarying vec3 worldCoordinate;\nvarying vec2 planeCoordinate;\nvarying vec3 lightDirection, eyeDirection, surfaceNormal;\nvarying vec4 vColor;\n\nvoid main() {\n vec3 dataCoordinate = permutation * vec3(uv.xy, height);\n worldCoordinate = objectOffset + dataCoordinate;\n vec4 worldPosition = model * vec4(worldCoordinate, 1.0);\n\n vec4 clipPosition = projection * view * worldPosition;\n clipPosition.z += zOffset;\n\n gl_Position = clipPosition;\n value = f + objectOffset.z;\n kill = -1.0;\n planeCoordinate = uv.zw;\n\n vColor = texture2D(colormap, vec2(value, value));\n\n //Don't do lighting for contours\n surfaceNormal = vec3(1,0,0);\n eyeDirection = vec3(0,1,0);\n lightDirection = vec3(0,0,1);\n}\n"]),l=i(["precision highp float;\n#define GLSLIFY 1\n\nbool outOfRange(float a, float b, float p) {\n return ((p > max(a, b)) || \n (p < min(a, b)));\n}\n\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\n return (outOfRange(a.x, b.x, p.x) ||\n outOfRange(a.y, b.y, p.y));\n}\n\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\n return (outOfRange(a.x, b.x, p.x) ||\n outOfRange(a.y, b.y, p.y) ||\n outOfRange(a.z, b.z, p.z));\n}\n\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\n return outOfRange(a.xyz, b.xyz, p.xyz);\n}\n\nuniform vec2 shape;\nuniform vec3 clipBounds[2];\nuniform float pickId;\n\nvarying float value, kill;\nvarying vec3 worldCoordinate;\nvarying vec2 planeCoordinate;\nvarying vec3 surfaceNormal;\n\nvec2 splitFloat(float v) {\n float vh = 255.0 * v;\n float upper = floor(vh);\n float lower = fract(vh);\n return vec2(upper / 255.0, floor(lower * 16.0) / 16.0);\n}\n\nvoid main() {\n if ((kill > 0.0) ||\n (outOfRange(clipBounds[0], clipBounds[1], worldCoordinate))) discard;\n\n vec2 ux = splitFloat(planeCoordinate.x / shape.x);\n vec2 uy = splitFloat(planeCoordinate.y / shape.y);\n gl_FragColor = vec4(pickId, ux.x, uy.x, ux.y + (uy.y/16.0));\n}\n"]);e.createShader=function(t){var e=n(t,a,o,null,[{name:"uv",type:"vec4"},{name:"f",type:"vec3"},{name:"normal",type:"vec3"}]);return e.attributes.uv.location=0,e.attributes.f.location=1,e.attributes.normal.location=2,e},e.createPickShader=function(t){var e=n(t,a,l,null,[{name:"uv",type:"vec4"},{name:"f",type:"vec3"},{name:"normal",type:"vec3"}]);return e.attributes.uv.location=0,e.attributes.f.location=1,e.attributes.normal.location=2,e},e.createContourShader=function(t){var e=n(t,s,o,null,[{name:"uv",type:"vec4"},{name:"f",type:"float"}]);return e.attributes.uv.location=0,e.attributes.f.location=1,e},e.createPickContourShader=function(t){var e=n(t,s,l,null,[{name:"uv",type:"vec4"},{name:"f",type:"float"}]);return e.attributes.uv.location=0,e.attributes.f.location=1,e}},3754:function(t,e,r){"use strict";t.exports=function(t){var e=t.gl,r=m(e),n=b(e),s=x(e),l=_(e),u=i(e),c=a(e,[{buffer:u,size:4,stride:w,offset:0},{buffer:u,size:3,stride:w,offset:16},{buffer:u,size:3,stride:w,offset:28}]),f=i(e),h=a(e,[{buffer:f,size:4,stride:20,offset:0},{buffer:f,size:1,stride:20,offset:16}]),p=i(e),d=a(e,[{buffer:p,size:2,type:e.FLOAT}]),v=o(e,1,S,e.RGBA,e.UNSIGNED_BYTE);v.minFilter=e.LINEAR,v.magFilter=e.LINEAR;var g=new E(e,[0,0],[[0,0,0],[0,0,0]],r,n,u,c,v,s,l,f,h,p,d,[0,0,0]),y={levels:[[],[],[]]};for(var T in t)y[T]=t[T];return y.colormap=y.colormap||"jet",g.update(y),g};var n=r(2288),i=r(5827),a=r(2944),o=r(8931),s=r(5306),l=r(9156),u=r(7498),c=r(7382),f=r(5050),h=r(4162),p=r(104),d=r(7437),v=r(5070),g=r(9144),y=r(9054),m=y.createShader,x=y.createContourShader,b=y.createPickShader,_=y.createPickContourShader,w=40,T=[1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1],k=[[0,0],[0,1],[1,0],[1,1],[1,0],[0,1]],A=[[0,0,0,0,0,0,0,0,0],[0,0,0,0,0,0,0,0,0],[0,0,0,0,0,0,0,0,0]];function M(t,e,r,n,i){this.position=t,this.index=e,this.uv=r,this.level=n,this.dataCoordinate=i}!function(){for(var t=0;t<3;++t){var e=A[t],r=(t+2)%3;e[(t+1)%3+0]=1,e[r+3]=1,e[t+6]=1}}();var S=256;function E(t,e,r,n,i,a,o,l,u,c,h,p,d,v,g){this.gl=t,this.shape=e,this.bounds=r,this.objectOffset=g,this.intensityBounds=[],this._shader=n,this._pickShader=i,this._coordinateBuffer=a,this._vao=o,this._colorMap=l,this._contourShader=u,this._contourPickShader=c,this._contourBuffer=h,this._contourVAO=p,this._contourOffsets=[[],[],[]],this._contourCounts=[[],[],[]],this._vertexCount=0,this._pickResult=new M([0,0,0],[0,0],[0,0],[0,0,0],[0,0,0]),this._dynamicBuffer=d,this._dynamicVAO=v,this._dynamicOffsets=[0,0,0],this._dynamicCounts=[0,0,0],this.contourWidth=[1,1,1],this.contourLevels=[[1],[1],[1]],this.contourTint=[0,0,0],this.contourColor=[[.5,.5,.5,1],[.5,.5,.5,1],[.5,.5,.5,1]],this.showContour=!0,this.showSurface=!0,this.enableHighlight=[!0,!0,!0],this.highlightColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.highlightTint=[1,1,1],this.highlightLevel=[-1,-1,-1],this.enableDynamic=[!0,!0,!0],this.dynamicLevel=[NaN,NaN,NaN],this.dynamicColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.dynamicTint=[1,1,1],this.dynamicWidth=[1,1,1],this.axesBounds=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]],this.surfaceProject=[!1,!1,!1],this.contourProject=[[!1,!1,!1],[!1,!1,!1],[!1,!1,!1]],this.colorBounds=[!1,!1],this._field=[f(s.mallocFloat(1024),[0,0]),f(s.mallocFloat(1024),[0,0]),f(s.mallocFloat(1024),[0,0])],this.pickId=1,this.clipBounds=[[-1/0,-1/0,-1/0],[1/0,1/0,1/0]],this.snapToData=!1,this.pixelRatio=1,this.opacity=1,this.lightPosition=[10,1e4,0],this.ambientLight=.8,this.diffuseLight=.8,this.specularLight=2,this.roughness=.5,this.fresnel=1.5,this.vertexColor=0,this.dirty=!0}var L=E.prototype;L.genColormap=function(t,e){var r=!1,n=c([l({colormap:t,nshades:S,format:"rgba"}).map((function(t,n){var i=e?function(t,e){if(!e)return 1;if(!e.length)return 1;for(var r=0;rt&&r>0){var n=(e[r][0]-t)/(e[r][0]-e[r-1][0]);return e[r][1]*(1-n)+n*e[r-1][1]}}return 1}(n/255,e):t[3];return i<1&&(r=!0),[t[0],t[1],t[2],255*i]}))]);return u.divseq(n,255),this.hasAlphaScale=r,n},L.isTransparent=function(){return this.opacity<1||this.hasAlphaScale},L.isOpaque=function(){return!this.isTransparent()},L.pickSlots=1,L.setPickBase=function(t){this.pickId=t};var C=[0,0,0],P={showSurface:!1,showContour:!1,projections:[T.slice(),T.slice(),T.slice()],clipBounds:[[[0,0,0],[0,0,0]],[[0,0,0],[0,0,0]],[[0,0,0],[0,0,0]]]};function O(t,e){var r,n,i,a=e.axes&&e.axes.lastCubeProps.axis||C,o=e.showSurface,s=e.showContour;for(r=0;r<3;++r)for(o=o||e.surfaceProject[r],n=0;n<3;++n)s=s||e.contourProject[r][n];for(r=0;r<3;++r){var l=P.projections[r];for(n=0;n<16;++n)l[n]=0;for(n=0;n<4;++n)l[5*n]=1;l[5*r]=0,l[12+r]=e.axesBounds[+(a[r]>0)][r],p(l,t.model,l);var u=P.clipBounds[r];for(i=0;i<2;++i)for(n=0;n<3;++n)u[i][n]=t.clipBounds[i][n];u[0][r]=-1e8,u[1][r]=1e8}return P.showSurface=o,P.showContour=s,P}var I={model:T,view:T,projection:T,inverseModel:T.slice(),lowerBound:[0,0,0],upperBound:[0,0,0],colorMap:0,clipBounds:[[0,0,0],[0,0,0]],height:0,contourTint:0,contourColor:[0,0,0,1],permutation:[1,0,0,0,1,0,0,0,1],zOffset:-1e-4,objectOffset:[0,0,0],kambient:1,kdiffuse:1,kspecular:1,lightPosition:[1e3,1e3,1e3],eyePosition:[0,0,0],roughness:1,fresnel:1,opacity:1,vertexColor:0},D=T.slice(),z=[1,0,0,0,1,0,0,0,1];function R(t,e){t=t||{};var r=this.gl;r.disable(r.CULL_FACE),this._colorMap.bind(0);var n=I;n.model=t.model||T,n.view=t.view||T,n.projection=t.projection||T,n.lowerBound=[this.bounds[0][0],this.bounds[0][1],this.colorBounds[0]||this.bounds[0][2]],n.upperBound=[this.bounds[1][0],this.bounds[1][1],this.colorBounds[1]||this.bounds[1][2]],n.objectOffset=this.objectOffset,n.contourColor=this.contourColor[0],n.inverseModel=d(n.inverseModel,n.model);for(var i=0;i<2;++i)for(var a=n.clipBounds[i],o=0;o<3;++o)a[o]=Math.min(Math.max(this.clipBounds[i][o],-1e8),1e8);n.kambient=this.ambientLight,n.kdiffuse=this.diffuseLight,n.kspecular=this.specularLight,n.roughness=this.roughness,n.fresnel=this.fresnel,n.opacity=this.opacity,n.height=0,n.permutation=z,n.vertexColor=this.vertexColor;var s=D;for(p(s,n.view,n.model),p(s,n.projection,s),d(s,s),i=0;i<3;++i)n.eyePosition[i]=s[12+i]/s[15];var l=s[15];for(i=0;i<3;++i)l+=this.lightPosition[i]*s[4*i+3];for(i=0;i<3;++i){var u=s[12+i];for(o=0;o<3;++o)u+=s[4*o+i]*this.lightPosition[o];n.lightPosition[i]=u/l}var c=O(n,this);if(c.showSurface){for(this._shader.bind(),this._shader.uniforms=n,this._vao.bind(),this.showSurface&&this._vertexCount&&this._vao.draw(r.TRIANGLES,this._vertexCount),i=0;i<3;++i)this.surfaceProject[i]&&this.vertexCount&&(this._shader.uniforms.model=c.projections[i],this._shader.uniforms.clipBounds=c.clipBounds[i],this._vao.draw(r.TRIANGLES,this._vertexCount));this._vao.unbind()}if(c.showContour){var f=this._contourShader;n.kambient=1,n.kdiffuse=0,n.kspecular=0,n.opacity=1,f.bind(),f.uniforms=n;var h=this._contourVAO;for(h.bind(),i=0;i<3;++i)for(f.uniforms.permutation=A[i],r.lineWidth(this.contourWidth[i]*this.pixelRatio),o=0;o>4)/16)/255,i=Math.floor(n),a=n-i,o=e[1]*(t.value[1]+(15&t.value[2])/16)/255,s=Math.floor(o),l=o-s;i+=1,s+=1;var u=r.position;u[0]=u[1]=u[2]=0;for(var c=0;c<2;++c)for(var f=c?a:1-a,h=0;h<2;++h)for(var p=i+c,d=s+h,g=f*(h?l:1-l),y=0;y<3;++y)u[y]+=this._field[y].get(p,d)*g;for(var m=this._pickResult.level,x=0;x<3;++x)if(m[x]=v.le(this.contourLevels[x],u[x]),m[x]<0)this.contourLevels[x].length>0&&(m[x]=0);else if(m[x]Math.abs(_-u[x])&&(m[x]+=1)}for(r.index[0]=a<.5?i:i+1,r.index[1]=l<.5?s:s+1,r.uv[0]=n/e[0],r.uv[1]=o/e[1],y=0;y<3;++y)r.dataCoordinate[y]=this._field[y].get(r.index[0],r.index[1]);return r},L.padField=function(t,e){var r=e.shape.slice(),n=t.shape.slice();u.assign(t.lo(1,1).hi(r[0],r[1]),e),u.assign(t.lo(1).hi(r[0],1),e.hi(r[0],1)),u.assign(t.lo(1,n[1]-1).hi(r[0],1),e.lo(0,r[1]-1).hi(r[0],1)),u.assign(t.lo(0,1).hi(1,r[1]),e.hi(1)),u.assign(t.lo(n[0]-1,1).hi(1,r[1]),e.lo(r[0]-1)),t.set(0,0,e.get(0,0)),t.set(0,n[1]-1,e.get(0,r[1]-1)),t.set(n[0]-1,0,e.get(r[0]-1,0)),t.set(n[0]-1,n[1]-1,e.get(r[0]-1,r[1]-1))},L.update=function(t){t=t||{},this.objectOffset=t.objectOffset||this.objectOffset,this.dirty=!0,"contourWidth"in t&&(this.contourWidth=B(t.contourWidth,Number)),"showContour"in t&&(this.showContour=B(t.showContour,Boolean)),"showSurface"in t&&(this.showSurface=!!t.showSurface),"contourTint"in t&&(this.contourTint=B(t.contourTint,Boolean)),"contourColor"in t&&(this.contourColor=j(t.contourColor)),"contourProject"in t&&(this.contourProject=B(t.contourProject,(function(t){return B(t,Boolean)}))),"surfaceProject"in t&&(this.surfaceProject=t.surfaceProject),"dynamicColor"in t&&(this.dynamicColor=j(t.dynamicColor)),"dynamicTint"in t&&(this.dynamicTint=B(t.dynamicTint,Number)),"dynamicWidth"in t&&(this.dynamicWidth=B(t.dynamicWidth,Number)),"opacity"in t&&(this.opacity=t.opacity),"opacityscale"in t&&(this.opacityscale=t.opacityscale),"colorBounds"in t&&(this.colorBounds=t.colorBounds),"vertexColor"in t&&(this.vertexColor=t.vertexColor?1:0),"colormap"in t&&this._colorMap.setPixels(this.genColormap(t.colormap,this.opacityscale));var e=t.field||t.coords&&t.coords[2]||null,r=!1;if(e||(e=this._field[2].shape[0]||this._field[2].shape[2]?this._field[2].lo(1,1).hi(this._field[2].shape[0]-2,this._field[2].shape[1]-2):this._field[2].hi(0,0)),"field"in t||"coords"in t){var i=(e.shape[0]+2)*(e.shape[1]+2);i>this._field[2].data.length&&(s.freeFloat(this._field[2].data),this._field[2].data=s.mallocFloat(n.nextPow2(i))),this._field[2]=f(this._field[2].data,[e.shape[0]+2,e.shape[1]+2]),this.padField(this._field[2],e),this.shape=e.shape.slice();for(var a=this.shape,o=0;o<2;++o)this._field[2].size>this._field[o].data.length&&(s.freeFloat(this._field[o].data),this._field[o].data=s.mallocFloat(this._field[2].size)),this._field[o]=f(this._field[o].data,[a[0]+2,a[1]+2]);if(t.coords){var l=t.coords;if(!Array.isArray(l)||3!==l.length)throw new Error("gl-surface: invalid coordinates for x/y");for(o=0;o<2;++o){var u=l[o];for(y=0;y<2;++y)if(u.shape[y]!==a[y])throw new Error("gl-surface: coords have incorrect shape");this.padField(this._field[o],u)}}else if(t.ticks){var c=t.ticks;if(!Array.isArray(c)||2!==c.length)throw new Error("gl-surface: invalid ticks");for(o=0;o<2;++o){var p=c[o];if((Array.isArray(p)||p.length)&&(p=f(p)),p.shape[0]!==a[o])throw new Error("gl-surface: invalid tick length");var d=f(p.data,a);d.stride[o]=p.stride[0],d.stride[1^o]=0,this.padField(this._field[o],d)}}else{for(o=0;o<2;++o){var v=[0,0];v[o]=1,this._field[o]=f(this._field[o].data,[a[0]+2,a[1]+2],v,0)}this._field[0].set(0,0,0);for(var y=0;y0){for(var xt=0;xt<5;++xt)$.pop();U-=1}continue t}$.push(nt[0],nt[1],ot[0],ot[1],nt[2]),U+=1}}rt.push(U)}this._contourOffsets[Q]=et,this._contourCounts[Q]=rt}var bt=s.mallocFloat($.length);for(o=0;o<$.length;++o)bt[o]=$[o];this._contourBuffer.update(bt),s.freeFloat(bt)}},L.dispose=function(){this._shader.dispose(),this._vao.dispose(),this._coordinateBuffer.dispose(),this._colorMap.dispose(),this._contourBuffer.dispose(),this._contourVAO.dispose(),this._contourShader.dispose(),this._contourPickShader.dispose(),this._dynamicBuffer.dispose(),this._dynamicVAO.dispose();for(var t=0;t<3;++t)s.freeFloat(this._field[t].data)},L.highlight=function(t){var e,r;if(!t)return this._dynamicCounts=[0,0,0],this.dyanamicLevel=[NaN,NaN,NaN],void(this.highlightLevel=[-1,-1,-1]);for(e=0;e<3;++e)this.enableHighlight[e]?this.highlightLevel[e]=t.level[e]:this.highlightLevel[e]=-1;for(r=this.snapToData?t.dataCoordinate:t.position,e=0;e<3;++e)r[e]-=this.objectOffset[e];if(this.enableDynamic[0]&&r[0]!==this.dynamicLevel[0]||this.enableDynamic[1]&&r[1]!==this.dynamicLevel[1]||this.enableDynamic[2]&&r[2]!==this.dynamicLevel[2]){for(var n=0,i=this.shape,a=s.mallocFloat(12*i[0]*i[1]),o=0;o<3;++o)if(this.enableDynamic[o]){this.dynamicLevel[o]=r[o];var l=(o+1)%3,u=(o+2)%3,c=this._field[o],f=this._field[l],p=this._field[u],d=h(c,r[o]),v=d.cells,g=d.positions;for(this._dynamicOffsets[o]=n,e=0;es||o[1]<0||o[1]>s)throw new Error("gl-texture2d: Invalid texture size");var l=d(o,e.stride.slice()),u=0;"float32"===r?u=t.FLOAT:"float64"===r?(u=t.FLOAT,l=!1,r="float32"):"uint8"===r?u=t.UNSIGNED_BYTE:(u=t.UNSIGNED_BYTE,l=!1,r="uint8");var f,p,g=0;if(2===o.length)g=t.LUMINANCE,o=[o[0],o[1],1],e=n(e.data,o,[e.stride[0],e.stride[1],1],e.offset);else{if(3!==o.length)throw new Error("gl-texture2d: Invalid shape for texture");if(1===o[2])g=t.ALPHA;else if(2===o[2])g=t.LUMINANCE_ALPHA;else if(3===o[2])g=t.RGB;else{if(4!==o[2])throw new Error("gl-texture2d: Invalid shape for pixel coords");g=t.RGBA}}u!==t.FLOAT||t.getExtension("OES_texture_float")||(u=t.UNSIGNED_BYTE,l=!1);var y=e.size;if(l)f=0===e.offset&&e.data.length===y?e.data:e.data.subarray(e.offset,e.offset+y);else{var m=[o[2],o[2]*o[0],1];p=a.malloc(y,r);var x=n(p,o,m,0);"float32"!==r&&"float64"!==r||u!==t.UNSIGNED_BYTE?i.assign(x,e):c(x,e),f=p.subarray(0,y)}var b=v(t);return t.texImage2D(t.TEXTURE_2D,0,g,o[0],o[1],0,g,u,f),l||a.free(p),new h(t,b,o[0],o[1],g,u)}(t,e)}throw new Error("gl-texture2d: Invalid arguments for texture2d constructor")};var o=null,s=null,l=null;function u(t){return"undefined"!=typeof HTMLCanvasElement&&t instanceof HTMLCanvasElement||"undefined"!=typeof HTMLImageElement&&t instanceof HTMLImageElement||"undefined"!=typeof HTMLVideoElement&&t instanceof HTMLVideoElement||"undefined"!=typeof ImageData&&t instanceof ImageData}var c=function(t,e){i.muls(t,e,255)};function f(t,e,r){var n=t.gl,i=n.getParameter(n.MAX_TEXTURE_SIZE);if(e<0||e>i||r<0||r>i)throw new Error("gl-texture2d: Invalid texture size");return t._shape=[e,r],t.bind(),n.texImage2D(n.TEXTURE_2D,0,t.format,e,r,0,t.format,t.type,null),t._mipLevels=[0],t}function h(t,e,r,n,i,a){this.gl=t,this.handle=e,this.format=i,this.type=a,this._shape=[r,n],this._mipLevels=[0],this._magFilter=t.NEAREST,this._minFilter=t.NEAREST,this._wrapS=t.CLAMP_TO_EDGE,this._wrapT=t.CLAMP_TO_EDGE,this._anisoSamples=1;var o=this,s=[this._wrapS,this._wrapT];Object.defineProperties(s,[{get:function(){return o._wrapS},set:function(t){return o.wrapS=t}},{get:function(){return o._wrapT},set:function(t){return o.wrapT=t}}]),this._wrapVector=s;var l=[this._shape[0],this._shape[1]];Object.defineProperties(l,[{get:function(){return o._shape[0]},set:function(t){return o.width=t}},{get:function(){return o._shape[1]},set:function(t){return o.height=t}}]),this._shapeVector=l}var p=h.prototype;function d(t,e){return 3===t.length?1===e[2]&&e[1]===t[0]*t[2]&&e[0]===t[2]:1===e[0]&&e[1]===t[0]}function v(t){var e=t.createTexture();return t.bindTexture(t.TEXTURE_2D,e),t.texParameteri(t.TEXTURE_2D,t.TEXTURE_MIN_FILTER,t.NEAREST),t.texParameteri(t.TEXTURE_2D,t.TEXTURE_MAG_FILTER,t.NEAREST),t.texParameteri(t.TEXTURE_2D,t.TEXTURE_WRAP_S,t.CLAMP_TO_EDGE),t.texParameteri(t.TEXTURE_2D,t.TEXTURE_WRAP_T,t.CLAMP_TO_EDGE),e}function g(t,e,r,n,i){var a=t.getParameter(t.MAX_TEXTURE_SIZE);if(e<0||e>a||r<0||r>a)throw new Error("gl-texture2d: Invalid texture shape");if(i===t.FLOAT&&!t.getExtension("OES_texture_float"))throw new Error("gl-texture2d: Floating point textures not supported on this platform");var o=v(t);return t.texImage2D(t.TEXTURE_2D,0,n,e,r,0,n,i,null),new h(t,o,e,r,n,i)}Object.defineProperties(p,{minFilter:{get:function(){return this._minFilter},set:function(t){this.bind();var e=this.gl;if(this.type===e.FLOAT&&o.indexOf(t)>=0&&(e.getExtension("OES_texture_float_linear")||(t=e.NEAREST)),s.indexOf(t)<0)throw new Error("gl-texture2d: Unknown filter mode "+t);return e.texParameteri(e.TEXTURE_2D,e.TEXTURE_MIN_FILTER,t),this._minFilter=t}},magFilter:{get:function(){return this._magFilter},set:function(t){this.bind();var e=this.gl;if(this.type===e.FLOAT&&o.indexOf(t)>=0&&(e.getExtension("OES_texture_float_linear")||(t=e.NEAREST)),s.indexOf(t)<0)throw new Error("gl-texture2d: Unknown filter mode "+t);return e.texParameteri(e.TEXTURE_2D,e.TEXTURE_MAG_FILTER,t),this._magFilter=t}},mipSamples:{get:function(){return this._anisoSamples},set:function(t){var e=this._anisoSamples;if(this._anisoSamples=0|Math.max(t,1),e!==this._anisoSamples){var r=this.gl.getExtension("EXT_texture_filter_anisotropic");r&&this.gl.texParameterf(this.gl.TEXTURE_2D,r.TEXTURE_MAX_ANISOTROPY_EXT,this._anisoSamples)}return this._anisoSamples}},wrapS:{get:function(){return this._wrapS},set:function(t){if(this.bind(),l.indexOf(t)<0)throw new Error("gl-texture2d: Unknown wrap mode "+t);return this.gl.texParameteri(this.gl.TEXTURE_2D,this.gl.TEXTURE_WRAP_S,t),this._wrapS=t}},wrapT:{get:function(){return this._wrapT},set:function(t){if(this.bind(),l.indexOf(t)<0)throw new Error("gl-texture2d: Unknown wrap mode "+t);return this.gl.texParameteri(this.gl.TEXTURE_2D,this.gl.TEXTURE_WRAP_T,t),this._wrapT=t}},wrap:{get:function(){return this._wrapVector},set:function(t){if(Array.isArray(t)||(t=[t,t]),2!==t.length)throw new Error("gl-texture2d: Must specify wrap mode for rows and columns");for(var e=0;e<2;++e)if(l.indexOf(t[e])<0)throw new Error("gl-texture2d: Unknown wrap mode "+t);this._wrapS=t[0],this._wrapT=t[1];var r=this.gl;return this.bind(),r.texParameteri(r.TEXTURE_2D,r.TEXTURE_WRAP_S,this._wrapS),r.texParameteri(r.TEXTURE_2D,r.TEXTURE_WRAP_T,this._wrapT),t}},shape:{get:function(){return this._shapeVector},set:function(t){if(Array.isArray(t)){if(2!==t.length)throw new Error("gl-texture2d: Invalid texture shape")}else t=[0|t,0|t];return f(this,0|t[0],0|t[1]),[0|t[0],0|t[1]]}},width:{get:function(){return this._shape[0]},set:function(t){return f(this,t|=0,this._shape[1]),t}},height:{get:function(){return this._shape[1]},set:function(t){return t|=0,f(this,this._shape[0],t),t}}}),p.bind=function(t){var e=this.gl;return void 0!==t&&e.activeTexture(e.TEXTURE0+(0|t)),e.bindTexture(e.TEXTURE_2D,this.handle),void 0!==t?0|t:e.getParameter(e.ACTIVE_TEXTURE)-e.TEXTURE0},p.dispose=function(){this.gl.deleteTexture(this.handle)},p.generateMipmap=function(){this.bind(),this.gl.generateMipmap(this.gl.TEXTURE_2D);for(var t=Math.min(this._shape[0],this._shape[1]),e=0;t>0;++e,t>>>=1)this._mipLevels.indexOf(e)<0&&this._mipLevels.push(e)},p.setPixels=function(t,e,r,o){var s=this.gl;this.bind(),Array.isArray(e)?(o=r,r=0|e[1],e=0|e[0]):(e=e||0,r=r||0),o=o||0;var l=u(t)?t:t.raw;if(l)this._mipLevels.indexOf(o)<0?(s.texImage2D(s.TEXTURE_2D,0,this.format,this.format,this.type,l),this._mipLevels.push(o)):s.texSubImage2D(s.TEXTURE_2D,o,e,r,this.format,this.type,l);else{if(!(t.shape&&t.stride&&t.data))throw new Error("gl-texture2d: Unsupported data type");if(t.shape.length<2||e+t.shape[1]>this._shape[1]>>>o||r+t.shape[0]>this._shape[0]>>>o||e<0||r<0)throw new Error("gl-texture2d: Texture dimensions are out of bounds");!function(t,e,r,o,s,l,u,f){var h=f.dtype,p=f.shape.slice();if(p.length<2||p.length>3)throw new Error("gl-texture2d: Invalid ndarray, must be 2d or 3d");var v=0,g=0,y=d(p,f.stride.slice());if("float32"===h?v=t.FLOAT:"float64"===h?(v=t.FLOAT,y=!1,h="float32"):"uint8"===h?v=t.UNSIGNED_BYTE:(v=t.UNSIGNED_BYTE,y=!1,h="uint8"),2===p.length)g=t.LUMINANCE,p=[p[0],p[1],1],f=n(f.data,p,[f.stride[0],f.stride[1],1],f.offset);else{if(3!==p.length)throw new Error("gl-texture2d: Invalid shape for texture");if(1===p[2])g=t.ALPHA;else 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L=_*r[a]+w*h[a]+T*e[a];E[4*a+1]=k*r[a]+A*h[a]+M*e[a],E[4*a+2]=L,E[4*a+3]=0}var C=E[1],P=E[5],O=E[9],I=E[2],D=E[6],z=E[10],R=P*z-O*D,F=O*I-C*z,B=C*D-P*I,N=u(R,F,B);for(R/=N,F/=N,B/=N,E[0]=R,E[4]=F,E[8]=B,a=0;a<3;++a)S[a]=b[a]+E[2+4*a]*p;for(a=0;a<3;++a){c=0;for(var j=0;j<3;++j)c+=E[a+4*j]*S[j];E[12+a]=-c}E[15]=1},p.getMatrix=function(t,e){this.recalcMatrix(t);var r=this.computedMatrix;if(e){for(var n=0;n<16;++n)e[n]=r[n];return e}return r};var d=[0,0,0];p.rotate=function(t,e,r,n){if(this.angle.move(t,e,r),n){this.recalcMatrix(t);var i=this.computedMatrix;d[0]=i[2],d[1]=i[6],d[2]=i[10];for(var o=this.computedUp,s=this.computedRight,l=this.computedToward,u=0;u<3;++u)i[4*u]=o[u],i[4*u+1]=s[u],i[4*u+2]=l[u];for(a(i,i,n,d),u=0;u<3;++u)o[u]=i[4*u],s[u]=i[4*u+1];this.up.set(t,o[0],o[1],o[2]),this.right.set(t,s[0],s[1],s[2])}},p.pan=function(t,e,r,n){e=e||0,r=r||0,n=n||0,this.recalcMatrix(t);var 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this.uint16[f+0]=e,this.uint16[f+1]=r,this.uint16[f+2]=n,this.uint16[f+3]=i,this.uint16[f+4]=a,this.uint16[f+5]=o,this.uint16[f+6]=s,this.uint16[f+7]=l,this.uint16[f+8]=u,this.uint16[f+9]=c,t},e}(Qi);sa.prototype.bytesPerElement=20,oi("StructArrayLayout10ui20",sa);var la=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.int16=new Int16Array(this.arrayBuffer),this.uint16=new Uint16Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r,n,i,a,o,s,l,u,c,f){var h=this.length;return this.resize(h+1),this.emplace(h,t,e,r,n,i,a,o,s,l,u,c,f)},e.prototype.emplace=function(t,e,r,n,i,a,o,s,l,u,c,f,h){var p=12*t;return this.int16[p+0]=e,this.int16[p+1]=r,this.int16[p+2]=n,this.int16[p+3]=i,this.uint16[p+4]=a,this.uint16[p+5]=o,this.uint16[p+6]=s,this.uint16[p+7]=l,this.int16[p+8]=u,this.int16[p+9]=c,this.int16[p+10]=f,this.int16[p+11]=h,t},e}(Qi);la.prototype.bytesPerElement=24,oi("StructArrayLayout4i4ui4i24",la);var ua=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.float32=new Float32Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r){var n=this.length;return this.resize(n+1),this.emplace(n,t,e,r)},e.prototype.emplace=function(t,e,r,n){var i=3*t;return this.float32[i+0]=e,this.float32[i+1]=r,this.float32[i+2]=n,t},e}(Qi);ua.prototype.bytesPerElement=12,oi("StructArrayLayout3f12",ua);var ca=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.uint32=new Uint32Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t){var e=this.length;return this.resize(e+1),this.emplace(e,t)},e.prototype.emplace=function(t,e){var r=1*t;return this.uint32[r+0]=e,t},e}(Qi);ca.prototype.bytesPerElement=4,oi("StructArrayLayout1ul4",ca);var fa=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.int16=new Int16Array(this.arrayBuffer),this.uint32=new Uint32Array(this.arrayBuffer),this.uint16=new Uint16Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r,n,i,a,o,s,l){var u=this.length;return this.resize(u+1),this.emplace(u,t,e,r,n,i,a,o,s,l)},e.prototype.emplace=function(t,e,r,n,i,a,o,s,l,u){var c=10*t,f=5*t;return this.int16[c+0]=e,this.int16[c+1]=r,this.int16[c+2]=n,this.int16[c+3]=i,this.int16[c+4]=a,this.int16[c+5]=o,this.uint32[f+3]=s,this.uint16[c+8]=l,this.uint16[c+9]=u,t},e}(Qi);fa.prototype.bytesPerElement=20,oi("StructArrayLayout6i1ul2ui20",fa);var ha=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.int16=new Int16Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r,n,i,a){var o=this.length;return this.resize(o+1),this.emplace(o,t,e,r,n,i,a)},e.prototype.emplace=function(t,e,r,n,i,a,o){var s=6*t;return this.int16[s+0]=e,this.int16[s+1]=r,this.int16[s+2]=n,this.int16[s+3]=i,this.int16[s+4]=a,this.int16[s+5]=o,t},e}(Qi);ha.prototype.bytesPerElement=12,oi("StructArrayLayout2i2i2i12",ha);var pa=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.float32=new Float32Array(this.arrayBuffer),this.int16=new Int16Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r,n,i){var a=this.length;return this.resize(a+1),this.emplace(a,t,e,r,n,i)},e.prototype.emplace=function(t,e,r,n,i,a){var o=4*t,s=8*t;return this.float32[o+0]=e,this.float32[o+1]=r,this.float32[o+2]=n,this.int16[s+6]=i,this.int16[s+7]=a,t},e}(Qi);pa.prototype.bytesPerElement=16,oi("StructArrayLayout2f1f2i16",pa);var da=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.float32=new Float32Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r,n){var i=this.length;return this.resize(i+1),this.emplace(i,t,e,r,n)},e.prototype.emplace=function(t,e,r,n,i){var a=12*t,o=3*t;return this.uint8[a+0]=e,this.uint8[a+1]=r,this.float32[o+1]=n,this.float32[o+2]=i,t},e}(Qi);da.prototype.bytesPerElement=12,oi("StructArrayLayout2ub2f12",da);var va=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.uint16=new Uint16Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r){var n=this.length;return this.resize(n+1),this.emplace(n,t,e,r)},e.prototype.emplace=function(t,e,r,n){var i=3*t;return this.uint16[i+0]=e,this.uint16[i+1]=r,this.uint16[i+2]=n,t},e}(Qi);va.prototype.bytesPerElement=6,oi("StructArrayLayout3ui6",va);var ga=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.int16=new Int16Array(this.arrayBuffer),this.uint16=new Uint16Array(this.arrayBuffer),this.uint32=new Uint32Array(this.arrayBuffer),this.float32=new Float32Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r,n,i,a,o,s,l,u,c,f,h,p,d,v,g){var y=this.length;return this.resize(y+1),this.emplace(y,t,e,r,n,i,a,o,s,l,u,c,f,h,p,d,v,g)},e.prototype.emplace=function(t,e,r,n,i,a,o,s,l,u,c,f,h,p,d,v,g,y){var m=24*t,x=12*t,b=48*t;return this.int16[m+0]=e,this.int16[m+1]=r,this.uint16[m+2]=n,this.uint16[m+3]=i,this.uint32[x+2]=a,this.uint32[x+3]=o,this.uint32[x+4]=s,this.uint16[m+10]=l,this.uint16[m+11]=u,this.uint16[m+12]=c,this.float32[x+7]=f,this.float32[x+8]=h,this.uint8[b+36]=p,this.uint8[b+37]=d,this.uint8[b+38]=v,this.uint32[x+10]=g,this.int16[m+22]=y,t},e}(Qi);ga.prototype.bytesPerElement=48,oi("StructArrayLayout2i2ui3ul3ui2f3ub1ul1i48",ga);var ya=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.int16=new Int16Array(this.arrayBuffer),this.uint16=new Uint16Array(this.arrayBuffer),this.uint32=new Uint32Array(this.arrayBuffer),this.float32=new Float32Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r,n,i,a,o,s,l,u,c,f,h,p,d,v,g,y,m,x,b,_,w,T,k,A,M,S){var E=this.length;return this.resize(E+1),this.emplace(E,t,e,r,n,i,a,o,s,l,u,c,f,h,p,d,v,g,y,m,x,b,_,w,T,k,A,M,S)},e.prototype.emplace=function(t,e,r,n,i,a,o,s,l,u,c,f,h,p,d,v,g,y,m,x,b,_,w,T,k,A,M,S,E){var L=34*t,C=17*t;return this.int16[L+0]=e,this.int16[L+1]=r,this.int16[L+2]=n,this.int16[L+3]=i,this.int16[L+4]=a,this.int16[L+5]=o,this.int16[L+6]=s,this.int16[L+7]=l,this.uint16[L+8]=u,this.uint16[L+9]=c,this.uint16[L+10]=f,this.uint16[L+11]=h,this.uint16[L+12]=p,this.uint16[L+13]=d,this.uint16[L+14]=v,this.uint16[L+15]=g,this.uint16[L+16]=y,this.uint16[L+17]=m,this.uint16[L+18]=x,this.uint16[L+19]=b,this.uint16[L+20]=_,this.uint16[L+21]=w,this.uint16[L+22]=T,this.uint32[C+12]=k,this.float32[C+13]=A,this.float32[C+14]=M,this.float32[C+15]=S,this.float32[C+16]=E,t},e}(Qi);ya.prototype.bytesPerElement=68,oi("StructArrayLayout8i15ui1ul4f68",ya);var ma=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.float32=new Float32Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t){var e=this.length;return this.resize(e+1),this.emplace(e,t)},e.prototype.emplace=function(t,e){var r=1*t;return this.float32[r+0]=e,t},e}(Qi);ma.prototype.bytesPerElement=4,oi("StructArrayLayout1f4",ma);var xa=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.int16=new Int16Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r){var n=this.length;return this.resize(n+1),this.emplace(n,t,e,r)},e.prototype.emplace=function(t,e,r,n){var i=3*t;return this.int16[i+0]=e,this.int16[i+1]=r,this.int16[i+2]=n,t},e}(Qi);xa.prototype.bytesPerElement=6,oi("StructArrayLayout3i6",xa);var ba=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.uint32=new Uint32Array(this.arrayBuffer),this.uint16=new Uint16Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r){var n=this.length;return this.resize(n+1),this.emplace(n,t,e,r)},e.prototype.emplace=function(t,e,r,n){var i=2*t,a=4*t;return this.uint32[i+0]=e,this.uint16[a+2]=r,this.uint16[a+3]=n,t},e}(Qi);ba.prototype.bytesPerElement=8,oi("StructArrayLayout1ul2ui8",ba);var _a=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.uint16=new Uint16Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e){var r=this.length;return this.resize(r+1),this.emplace(r,t,e)},e.prototype.emplace=function(t,e,r){var n=2*t;return this.uint16[n+0]=e,this.uint16[n+1]=r,t},e}(Qi);_a.prototype.bytesPerElement=4,oi("StructArrayLayout2ui4",_a);var wa=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.uint16=new Uint16Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t){var e=this.length;return this.resize(e+1),this.emplace(e,t)},e.prototype.emplace=function(t,e){var r=1*t;return this.uint16[r+0]=e,t},e}(Qi);wa.prototype.bytesPerElement=2,oi("StructArrayLayout1ui2",wa);var Ta=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.float32=new Float32Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r,n){var i=this.length;return this.resize(i+1),this.emplace(i,t,e,r,n)},e.prototype.emplace=function(t,e,r,n,i){var a=4*t;return this.float32[a+0]=e,this.float32[a+1]=r,this.float32[a+2]=n,this.float32[a+3]=i,t},e}(Qi);Ta.prototype.bytesPerElement=16,oi("StructArrayLayout4f16",Ta);var ka=function(t){function e(){t.apply(this,arguments)}t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e;var r={anchorPointX:{configurable:!0},anchorPointY:{configurable:!0},x1:{configurable:!0},y1:{configurable:!0},x2:{configurable:!0},y2:{configurable:!0},featureIndex:{configurable:!0},sourceLayerIndex:{configurable:!0},bucketIndex:{configurable:!0},anchorPoint:{configurable:!0}};return r.anchorPointX.get=function(){return this._structArray.int16[this._pos2+0]},r.anchorPointY.get=function(){return this._structArray.int16[this._pos2+1]},r.x1.get=function(){return this._structArray.int16[this._pos2+2]},r.y1.get=function(){return this._structArray.int16[this._pos2+3]},r.x2.get=function(){return this._structArray.int16[this._pos2+4]},r.y2.get=function(){return this._structArray.int16[this._pos2+5]},r.featureIndex.get=function(){return this._structArray.uint32[this._pos4+3]},r.sourceLayerIndex.get=function(){return this._structArray.uint16[this._pos2+8]},r.bucketIndex.get=function(){return this._structArray.uint16[this._pos2+9]},r.anchorPoint.get=function(){return new a(this.anchorPointX,this.anchorPointY)},Object.defineProperties(e.prototype,r),e}($i);ka.prototype.size=20;var Aa=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.get=function(t){return new ka(this,t)},e}(fa);oi("CollisionBoxArray",Aa);var Ma=function(t){function e(){t.apply(this,arguments)}t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e;var r={anchorX:{configurable:!0},anchorY:{configurable:!0},glyphStartIndex:{configurable:!0},numGlyphs:{configurable:!0},vertexStartIndex:{configurable:!0},lineStartIndex:{configurable:!0},lineLength:{configurable:!0},segment:{configurable:!0},lowerSize:{configurable:!0},upperSize:{configurable:!0},lineOffsetX:{configurable:!0},lineOffsetY:{configurable:!0},writingMode:{configurable:!0},placedOrientation:{configurable:!0},hidden:{configurable:!0},crossTileID:{configurable:!0},associatedIconIndex:{configurable:!0}};return r.anchorX.get=function(){return this._structArray.int16[this._pos2+0]},r.anchorY.get=function(){return this._structArray.int16[this._pos2+1]},r.glyphStartIndex.get=function(){return this._structArray.uint16[this._pos2+2]},r.numGlyphs.get=function(){return this._structArray.uint16[this._pos2+3]},r.vertexStartIndex.get=function(){return this._structArray.uint32[this._pos4+2]},r.lineStartIndex.get=function(){return this._structArray.uint32[this._pos4+3]},r.lineLength.get=function(){return this._structArray.uint32[this._pos4+4]},r.segment.get=function(){return this._structArray.uint16[this._pos2+10]},r.lowerSize.get=function(){return this._structArray.uint16[this._pos2+11]},r.upperSize.get=function(){return this._structArray.uint16[this._pos2+12]},r.lineOffsetX.get=function(){return this._structArray.float32[this._pos4+7]},r.lineOffsetY.get=function(){return this._structArray.float32[this._pos4+8]},r.writingMode.get=function(){return this._structArray.uint8[this._pos1+36]},r.placedOrientation.get=function(){return this._structArray.uint8[this._pos1+37]},r.placedOrientation.set=function(t){this._structArray.uint8[this._pos1+37]=t},r.hidden.get=function(){return this._structArray.uint8[this._pos1+38]},r.hidden.set=function(t){this._structArray.uint8[this._pos1+38]=t},r.crossTileID.get=function(){return this._structArray.uint32[this._pos4+10]},r.crossTileID.set=function(t){this._structArray.uint32[this._pos4+10]=t},r.associatedIconIndex.get=function(){return this._structArray.int16[this._pos2+22]},Object.defineProperties(e.prototype,r),e}($i);Ma.prototype.size=48;var Sa=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.get=function(t){return new Ma(this,t)},e}(ga);oi("PlacedSymbolArray",Sa);var Ea=function(t){function e(){t.apply(this,arguments)}t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e;var r={anchorX:{configurable:!0},anchorY:{configurable:!0},rightJustifiedTextSymbolIndex:{configurable:!0},centerJustifiedTextSymbolIndex:{configurable:!0},leftJustifiedTextSymbolIndex:{configurable:!0},verticalPlacedTextSymbolIndex:{configurable:!0},placedIconSymbolIndex:{configurable:!0},verticalPlacedIconSymbolIndex:{configurable:!0},key:{configurable:!0},textBoxStartIndex:{configurable:!0},textBoxEndIndex:{configurable:!0},verticalTextBoxStartIndex:{configurable:!0},verticalTextBoxEndIndex:{configurable:!0},iconBoxStartIndex:{configurable:!0},iconBoxEndIndex:{configurable:!0},verticalIconBoxStartIndex:{configurable:!0},verticalIconBoxEndIndex:{configurable:!0},featureIndex:{configurable:!0},numHorizontalGlyphVertices:{configurable:!0},numVerticalGlyphVertices:{configurable:!0},numIconVertices:{configurable:!0},numVerticalIconVertices:{configurable:!0},useRuntimeCollisionCircles:{configurable:!0},crossTileID:{configurable:!0},textBoxScale:{configurable:!0},textOffset0:{configurable:!0},textOffset1:{configurable:!0},collisionCircleDiameter:{configurable:!0}};return 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L=Uu(h,y,v),C=Uu(p,m,g),P=0;P0&&(d=Math.max(10,d),this.circleDiameter=d)}else{var v=o.top*s-l,g=o.bottom*s+l,y=o.left*s-l,m=o.right*s+l,x=o.collisionPadding;if(x&&(y-=x[0]*s,v-=x[1]*s,m+=x[2]*s,g+=x[3]*s),c){var b=new a(y,v),_=new a(m,v),w=new a(y,g),T=new a(m,g),k=c*Math.PI/180;b._rotate(k),_._rotate(k),w._rotate(k),T._rotate(k),y=Math.min(b.x,_.x,w.x,T.x),m=Math.max(b.x,_.x,w.x,T.x),v=Math.min(b.y,_.y,w.y,T.y),g=Math.max(b.y,_.y,w.y,T.y)}t.emplaceBack(e.x,e.y,y,v,m,g,r,n,i)}this.boxEndIndex=t.length},Gu=function(t,e){if(void 0===t&&(t=[]),void 0===e&&(e=Wu),this.data=t,this.length=this.data.length,this.compare=e,this.length>0)for(var r=(this.length>>1)-1;r>=0;r--)this._down(r)};function Wu(t,e){return te?1:0}function Yu(t,e,r){void 0===e&&(e=1),void 0===r&&(r=!1);for(var n=1/0,i=1/0,o=-1/0,s=-1/0,l=t[0],u=0;uo)&&(o=c.x),(!u||c.y>s)&&(s=c.y)}var f=o-n,h=s-i,p=Math.min(f,h),d=p/2,v=new Gu([],Xu);if(0===p)return new a(n,i);for(var g=n;gm.d||!m.d)&&(m=b,r&&console.log("found best %d 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i=t-1>>1,a=e[i];if(r(n,a)>=0)break;e[t]=a,t=i}e[t]=n},Gu.prototype._down=function(t){for(var e=this.data,r=this.compare,n=this.length>>1,i=e[t];t=0)break;e[t]=o,t=a}e[t]=i};var Ku=7,Ju=Number.POSITIVE_INFINITY;function $u(t,e){return e[1]!==Ju?function(t,e,r){var n=0,i=0;switch(e=Math.abs(e),r=Math.abs(r),t){case"top-right":case"top-left":case"top":i=r-Ku;break;case"bottom-right":case"bottom-left":case"bottom":i=-r+Ku}switch(t){case"top-right":case"bottom-right":case"right":n=-e;break;case"top-left":case"bottom-left":case"left":n=e}return[n,i]}(t,e[0],e[1]):function(t,e){var r=0,n=0;e<0&&(e=0);var i=e/Math.sqrt(2);switch(t){case"top-right":case"top-left":n=i-Ku;break;case"bottom-right":case"bottom-left":n=-i+Ku;break;case"bottom":n=-e+Ku;break;case"top":n=e-Ku}switch(t){case"top-right":case"bottom-right":r=-i;break;case"top-left":case"bottom-left":r=i;break;case"left":r=e;break;case"right":r=-e}return[r,n]}(t,e[0])}function Qu(t){switch(t){case"right":case"top-right":case"bottom-right":return"right";case"left":case"top-left":case"bottom-left":return"left"}return"center"}var tc=255,ec=tc*Au;function rc(t,e,r,n,i,o,s,l,u,c,f,h,p,d,v){var g=function(t,e,r,n,i,o,s,l){for(var u=n.layout.get("text-rotate").evaluate(o,{})*Math.PI/180,c=[],f=0,h=e.positionedLines;fec&&k(t.layerIds[0]+': Value for "text-size" is >= '+tc+'. 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this.hasDebugData()&&this.iconCollisionBox.segments.get().length>0},hc.prototype.addIndicesForPlacedSymbol=function(t,e){for(var r=t.placedSymbolArray.get(e),n=r.vertexStartIndex+4*r.numGlyphs,i=r.vertexStartIndex;i1||this.icon.segments.get().length>1)){this.symbolInstanceIndexes=this.getSortedSymbolIndexes(t),this.sortedAngle=t,this.text.indexArray.clear(),this.icon.indexArray.clear(),this.featureSortOrder=[];for(var 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qi(Ft.layout_symbol["symbol-z-order"]),"icon-allow-overlap":new qi(Ft.layout_symbol["icon-allow-overlap"]),"icon-ignore-placement":new qi(Ft.layout_symbol["icon-ignore-placement"]),"icon-optional":new qi(Ft.layout_symbol["icon-optional"]),"icon-rotation-alignment":new qi(Ft.layout_symbol["icon-rotation-alignment"]),"icon-size":new Hi(Ft.layout_symbol["icon-size"]),"icon-text-fit":new qi(Ft.layout_symbol["icon-text-fit"]),"icon-text-fit-padding":new qi(Ft.layout_symbol["icon-text-fit-padding"]),"icon-image":new Hi(Ft.layout_symbol["icon-image"]),"icon-rotate":new Hi(Ft.layout_symbol["icon-rotate"]),"icon-padding":new qi(Ft.layout_symbol["icon-padding"]),"icon-keep-upright":new qi(Ft.layout_symbol["icon-keep-upright"]),"icon-offset":new Hi(Ft.layout_symbol["icon-offset"]),"icon-anchor":new Hi(Ft.layout_symbol["icon-anchor"]),"icon-pitch-alignment":new qi(Ft.layout_symbol["icon-pitch-alignment"]),"text-pitch-alignment":new qi(Ft.layout_symbol["text-pitch-alignment"]),"text-rotation-alignment":new qi(Ft.layout_symbol["text-rotation-alignment"]),"text-field":new Hi(Ft.layout_symbol["text-field"]),"text-font":new Hi(Ft.layout_symbol["text-font"]),"text-size":new Hi(Ft.layout_symbol["text-size"]),"text-max-width":new Hi(Ft.layout_symbol["text-max-width"]),"text-line-height":new qi(Ft.layout_symbol["text-line-height"]),"text-letter-spacing":new Hi(Ft.layout_symbol["text-letter-spacing"]),"text-justify":new Hi(Ft.layout_symbol["text-justify"]),"text-radial-offset":new Hi(Ft.layout_symbol["text-radial-offset"]),"text-variable-anchor":new qi(Ft.layout_symbol["text-variable-anchor"]),"text-anchor":new Hi(Ft.layout_symbol["text-anchor"]),"text-max-angle":new qi(Ft.layout_symbol["text-max-angle"]),"text-writing-mode":new qi(Ft.layout_symbol["text-writing-mode"]),"text-rotate":new Hi(Ft.layout_symbol["text-rotate"]),"text-padding":new qi(Ft.layout_symbol["text-padding"]),"text-keep-upright":new qi(Ft.layout_symbol["text-keep-upright"]),"text-transform":new Hi(Ft.layout_symbol["text-transform"]),"text-offset":new Hi(Ft.layout_symbol["text-offset"]),"text-allow-overlap":new qi(Ft.layout_symbol["text-allow-overlap"]),"text-ignore-placement":new qi(Ft.layout_symbol["text-ignore-placement"]),"text-optional":new qi(Ft.layout_symbol["text-optional"])}),dc={paint:new Xi({"icon-opacity":new Hi(Ft.paint_symbol["icon-opacity"]),"icon-color":new Hi(Ft.paint_symbol["icon-color"]),"icon-halo-color":new Hi(Ft.paint_symbol["icon-halo-color"]),"icon-halo-width":new Hi(Ft.paint_symbol["icon-halo-width"]),"icon-halo-blur":new Hi(Ft.paint_symbol["icon-halo-blur"]),"icon-translate":new qi(Ft.paint_symbol["icon-translate"]),"icon-translate-anchor":new qi(Ft.paint_symbol["icon-translate-anchor"]),"text-opacity":new Hi(Ft.paint_symbol["text-opacity"]),"text-color":new Hi(Ft.paint_symbol["text-color"],{runtimeType:Zt,getOverride:function(t){return t.textColor},hasOverride:function(t){return!!t.textColor}}),"text-halo-color":new Hi(Ft.paint_symbol["text-halo-color"]),"text-halo-width":new Hi(Ft.paint_symbol["text-halo-width"]),"text-halo-blur":new Hi(Ft.paint_symbol["text-halo-blur"]),"text-translate":new qi(Ft.paint_symbol["text-translate"]),"text-translate-anchor":new qi(Ft.paint_symbol["text-translate-anchor"])}),layout:pc},vc=function(t){this.type=t.property.overrides?t.property.overrides.runtimeType:Gt,this.defaultValue=t};vc.prototype.evaluate=function(t){if(t.formattedSection){var e=this.defaultValue.property.overrides;if(e&&e.hasOverride(t.formattedSection))return e.getOverride(t.formattedSection)}return t.feature&&t.featureState?this.defaultValue.evaluate(t.feature,t.featureState):this.defaultValue.property.specification.default},vc.prototype.eachChild=function(t){this.defaultValue.isConstant()||t(this.defaultValue.value._styleExpression.expression)},vc.prototype.outputDefined=function(){return!1},vc.prototype.serialize=function(){return null},oi("FormatSectionOverride",vc,{omit:["defaultValue"]});var gc=function(t){function e(e){t.call(this,e,dc)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.recalculate=function(e,r){if(t.prototype.recalculate.call(this,e,r),"auto"===this.layout.get("icon-rotation-alignment")&&("point"!==this.layout.get("symbol-placement")?this.layout._values["icon-rotation-alignment"]="map":this.layout._values["icon-rotation-alignment"]="viewport"),"auto"===this.layout.get("text-rotation-alignment")&&("point"!==this.layout.get("symbol-placement")?this.layout._values["text-rotation-alignment"]="map":this.layout._values["text-rotation-alignment"]="viewport"),"auto"===this.layout.get("text-pitch-alignment")&&(this.layout._values["text-pitch-alignment"]=this.layout.get("text-rotation-alignment")),"auto"===this.layout.get("icon-pitch-alignment")&&(this.layout._values["icon-pitch-alignment"]=this.layout.get("icon-rotation-alignment")),"point"===this.layout.get("symbol-placement")){var n=this.layout.get("text-writing-mode");if(n){for(var i=[],a=0,o=n;a",targetMapId:n,sourceMapId:a.mapId})}}},Cc.prototype.receive=function(t){var e=t.data,r=e.id;if(r&&(!e.targetMapId||this.mapId===e.targetMapId))if(""===e.type){delete this.tasks[r];var n=this.cancelCallbacks[r];delete this.cancelCallbacks[r],n&&n()}else S()||e.mustQueue?(this.tasks[r]=e,this.taskQueue.push(r),this.invoker.trigger()):this.processTask(r,e)},Cc.prototype.process=function(){if(this.taskQueue.length){var t=this.taskQueue.shift(),e=this.tasks[t];delete this.tasks[t],this.taskQueue.length&&this.invoker.trigger(),e&&this.processTask(t,e)}},Cc.prototype.processTask=function(t,e){var r=this;if(""===e.type){var n=this.callbacks[t];delete this.callbacks[t],n&&(e.error?n(fi(e.error)):n(null,fi(e.data)))}else{var i=!1,a=C(this.globalScope)?void 0:[],o=e.hasCallback?function(e,n){i=!0,delete r.cancelCallbacks[t],r.target.postMessage({id:t,type:"",sourceMapId:r.mapId,error:e?ci(e):null,data:ci(n,a)},a)}:function(t){i=!0},s=null,l=fi(e.data);if(this.parent[e.type])s=this.parent[e.type](e.sourceMapId,l,o);else if(this.parent.getWorkerSource){var u=e.type.split(".");s=this.parent.getWorkerSource(e.sourceMapId,u[0],l.source)[u[1]](l,o)}else o(new Error("Could not find function "+e.type));!i&&s&&s.cancel&&(this.cancelCallbacks[t]=s.cancel)}},Cc.prototype.remove=function(){this.invoker.remove(),this.target.removeEventListener("message",this.receive,!1)};var Oc=function(t,e){t&&(e?this.setSouthWest(t).setNorthEast(e):4===t.length?this.setSouthWest([t[0],t[1]]).setNorthEast([t[2],t[3]]):this.setSouthWest(t[0]).setNorthEast(t[1]))};Oc.prototype.setNorthEast=function(t){return this._ne=t instanceof Dc?new Dc(t.lng,t.lat):Dc.convert(t),this},Oc.prototype.setSouthWest=function(t){return this._sw=t instanceof Dc?new Dc(t.lng,t.lat):Dc.convert(t),this},Oc.prototype.extend=function(t){var e,r,n=this._sw,i=this._ne;if(t instanceof Dc)e=t,r=t;else{if(!(t instanceof Oc)){if(Array.isArray(t)){if(4===t.length||t.every(Array.isArray)){var a=t;return this.extend(Oc.convert(a))}var o=t;return this.extend(Dc.convert(o))}return this}if(e=t._sw,r=t._ne,!e||!r)return this}return n||i?(n.lng=Math.min(e.lng,n.lng),n.lat=Math.min(e.lat,n.lat),i.lng=Math.max(r.lng,i.lng),i.lat=Math.max(r.lat,i.lat)):(this._sw=new Dc(e.lng,e.lat),this._ne=new Dc(r.lng,r.lat)),this},Oc.prototype.getCenter=function(){return new Dc((this._sw.lng+this._ne.lng)/2,(this._sw.lat+this._ne.lat)/2)},Oc.prototype.getSouthWest=function(){return this._sw},Oc.prototype.getNorthEast=function(){return this._ne},Oc.prototype.getNorthWest=function(){return new Dc(this.getWest(),this.getNorth())},Oc.prototype.getSouthEast=function(){return new Dc(this.getEast(),this.getSouth())},Oc.prototype.getWest=function(){return this._sw.lng},Oc.prototype.getSouth=function(){return this._sw.lat},Oc.prototype.getEast=function(){return this._ne.lng},Oc.prototype.getNorth=function(){return this._ne.lat},Oc.prototype.toArray=function(){return[this._sw.toArray(),this._ne.toArray()]},Oc.prototype.toString=function(){return"LngLatBounds("+this._sw.toString()+", "+this._ne.toString()+")"},Oc.prototype.isEmpty=function(){return!(this._sw&&this._ne)},Oc.prototype.contains=function(t){var e=Dc.convert(t),r=e.lng,n=e.lat,i=this._sw.lat<=n&&n<=this._ne.lat,a=this._sw.lng<=r&&r<=this._ne.lng;return this._sw.lng>this._ne.lng&&(a=this._sw.lng>=r&&r>=this._ne.lng),i&&a},Oc.convert=function(t){return!t||t instanceof Oc?t:new Oc(t)};var Ic=6371008.8,Dc=function(t,e){if(isNaN(t)||isNaN(e))throw new Error("Invalid LngLat object: ("+t+", "+e+")");if(this.lng=+t,this.lat=+e,this.lat>90||this.lat<-90)throw new Error("Invalid LngLat latitude value: must be between -90 and 90")};Dc.prototype.wrap=function(){return new Dc(h(this.lng,-180,180),this.lat)},Dc.prototype.toArray=function(){return[this.lng,this.lat]},Dc.prototype.toString=function(){return"LngLat("+this.lng+", "+this.lat+")"},Dc.prototype.distanceTo=function(t){var e=Math.PI/180,r=this.lat*e,n=t.lat*e,i=Math.sin(r)*Math.sin(n)+Math.cos(r)*Math.cos(n)*Math.cos((t.lng-this.lng)*e);return Ic*Math.acos(Math.min(i,1))},Dc.prototype.toBounds=function(t){void 0===t&&(t=0);var e=360*t/40075017,r=e/Math.cos(Math.PI/180*this.lat);return new Oc(new Dc(this.lng-r,this.lat-e),new Dc(this.lng+r,this.lat+e))},Dc.convert=function(t){if(t instanceof Dc)return t;if(Array.isArray(t)&&(2===t.length||3===t.length))return new Dc(Number(t[0]),Number(t[1]));if(!Array.isArray(t)&&"object"==typeof t&&null!==t)return new Dc(Number("lng"in t?t.lng:t.lon),Number(t.lat));throw new Error("`LngLatLike` argument must be specified as a LngLat instance, an object {lng: , lat: }, an object {lon: , lat: }, or an array of [, ]")};var zc=2*Math.PI*Ic;function Rc(t){return zc*Math.cos(t*Math.PI/180)}function Fc(t){return(180+t)/360}function Bc(t){return(180-180/Math.PI*Math.log(Math.tan(Math.PI/4+t*Math.PI/360)))/360}function Nc(t,e){return t/Rc(e)}function jc(t){var e=180-360*t;return 360/Math.PI*Math.atan(Math.exp(e*Math.PI/180))-90}var Uc=function(t,e,r){void 0===r&&(r=0),this.x=+t,this.y=+e,this.z=+r};Uc.fromLngLat=function(t,e){void 0===e&&(e=0);var r=Dc.convert(t);return new Uc(Fc(r.lng),Bc(r.lat),Nc(e,r.lat))},Uc.prototype.toLngLat=function(){return new Dc(360*this.x-180,jc(this.y))},Uc.prototype.toAltitude=function(){return t=this.z,e=this.y,t*Rc(jc(e));var t,e},Uc.prototype.meterInMercatorCoordinateUnits=function(){return 1/zc*(t=jc(this.y),1/Math.cos(t*Math.PI/180));var t};var Vc=function(t,e,r){this.z=t,this.x=e,this.y=r,this.key=Gc(0,t,t,e,r)};Vc.prototype.equals=function(t){return this.z===t.z&&this.x===t.x&&this.y===t.y},Vc.prototype.url=function(t,e){var r,n,i,a,o,s=(r=this.x,n=this.y,i=this.z,a=Pc(256*r,256*(n=Math.pow(2,i)-n-1),i),o=Pc(256*(r+1),256*(n+1),i),a[0]+","+a[1]+","+o[0]+","+o[1]),l=function(t,e,r){for(var n,i="",a=t;a>0;a--)i+=(e&(n=1<this.canonical.z?new Hc(t,this.wrap,this.canonical.z,this.canonical.x,this.canonical.y):new Hc(t,this.wrap,t,this.canonical.x>>e,this.canonical.y>>e)},Hc.prototype.calculateScaledKey=function(t,e){var r=this.canonical.z-t;return t>this.canonical.z?Gc(this.wrap*+e,t,this.canonical.z,this.canonical.x,this.canonical.y):Gc(this.wrap*+e,t,t,this.canonical.x>>r,this.canonical.y>>r)},Hc.prototype.isChildOf=function(t){if(t.wrap!==this.wrap)return!1;var e=this.canonical.z-t.canonical.z;return 0===t.overscaledZ||t.overscaledZ>e&&t.canonical.y===this.canonical.y>>e},Hc.prototype.children=function(t){if(this.overscaledZ>=t)return[new Hc(this.overscaledZ+1,this.wrap,this.canonical.z,this.canonical.x,this.canonical.y)];var e=this.canonical.z+1,r=2*this.canonical.x,n=2*this.canonical.y;return[new Hc(e,this.wrap,e,r,n),new Hc(e,this.wrap,e,r+1,n),new Hc(e,this.wrap,e,r,n+1),new Hc(e,this.wrap,e,r+1,n+1)]},Hc.prototype.isLessThan=function(t){return this.wrapt.wrap)&&(this.overscaledZt.overscaledZ)&&(this.canonical.xt.canonical.x)&&this.canonical.y=this.dim+1||e<-1||e>=this.dim+1)throw new RangeError("out of range source coordinates for DEM data");return(e+1)*this.stride+(t+1)},Wc.prototype._unpackMapbox=function(t,e,r){return(256*t*256+256*e+r)/10-1e4},Wc.prototype._unpackTerrarium=function(t,e,r){return 256*t+e+r/256-32768},Wc.prototype.getPixels=function(){return new $o({width:this.stride,height:this.stride},new Uint8Array(this.data.buffer))},Wc.prototype.backfillBorder=function(t,e,r){if(this.dim!==t.dim)throw new Error("dem dimension mismatch");var n=e*this.dim,i=e*this.dim+this.dim,a=r*this.dim,o=r*this.dim+this.dim;switch(e){case-1:n=i-1;break;case 1:i=n+1}switch(r){case-1:a=o-1;break;case 1:o=a+1}for(var s=-e*this.dim,l=-r*this.dim,u=a;u=0&&c[3]>=0&&s.insert(o,c[0],c[1],c[2],c[3])}},Jc.prototype.loadVTLayers=function(){return this.vtLayers||(this.vtLayers=new tl.VectorTile(new Ol(this.rawTileData)).layers,this.sourceLayerCoder=new Yc(this.vtLayers?Object.keys(this.vtLayers).sort():["_geojsonTileLayer"])),this.vtLayers},Jc.prototype.query=function(t,e,r,n){var i=this;this.loadVTLayers();for(var o=t.params||{},s=po/t.tileSize/t.scale,l=An(o.filter),u=t.queryGeometry,c=t.queryPadding*s,f=Qc(u),h=this.grid.query(f.minX-c,f.minY-c,f.maxX+c,f.maxY+c),p=Qc(t.cameraQueryGeometry),d=0,v=this.grid3D.query(p.minX-c,p.minY-c,p.maxX+c,p.maxY+c,(function(e,r,n,i){return function(t,e,r,n,i){for(var o=0,s=t;o=l.x&&i>=l.y)return!0}var u=[new a(e,r),new a(e,i),new a(n,i),new a(n,r)];if(t.length>2)for(var c=0,f=u;c=0)return!0;return!1}(a,f)){var h=this.sourceLayerCoder.decode(r),d=this.vtLayers[h].feature(n);if(i.needGeometry){var v=mo(d,!0);if(!i.filter(new Di(this.tileID.overscaledZ),v,this.tileID.canonical))return}else if(!i.filter(new Di(this.tileID.overscaledZ),d))return;for(var g=this.getId(d,h),y=0;yn)i=!1;else if(e)if(this.expirationTimeht&&(t.getActor().send("enforceCacheSizeLimit",ft),xt=0)},t.clamp=f,t.clearTileCache=function(t){var e=s.caches.delete(ct);t&&e.catch(t).then((function(){return t()}))},t.clipLine=Fu,t.clone=function(t){var e=new Fo(16);return e[0]=t[0],e[1]=t[1],e[2]=t[2],e[3]=t[3],e[4]=t[4],e[5]=t[5],e[6]=t[6],e[7]=t[7],e[8]=t[8],e[9]=t[9],e[10]=t[10],e[11]=t[11],e[12]=t[12],e[13]=t[13],e[14]=t[14],e[15]=t[15],e},t.clone$1=w,t.clone$2=function(t){var e=new Fo(3);return e[0]=t[0],e[1]=t[1],e[2]=t[2],e},t.collisionCircleLayout=Ml,t.config=j,t.create=function(){var t=new Fo(16);return Fo!=Float32Array&&(t[1]=0,t[2]=0,t[3]=0,t[4]=0,t[6]=0,t[7]=0,t[8]=0,t[9]=0,t[11]=0,t[12]=0,t[13]=0,t[14]=0),t[0]=1,t[5]=1,t[10]=1,t[15]=1,t},t.create$1=function(){var t=new Fo(9);return Fo!=Float32Array&&(t[1]=0,t[2]=0,t[3]=0,t[5]=0,t[6]=0,t[7]=0),t[0]=1,t[4]=1,t[8]=1,t},t.create$2=function(){var t=new Fo(4);return Fo!=Float32Array&&(t[1]=0,t[2]=0),t[0]=1,t[3]=1,t},t.createCommonjsModule=e,t.createExpression=fn,t.createLayout=ta,t.createStyleLayer=function(t){return"custom"===t.type?new _c(t):new wc[t.type](t)},t.cross=function(t,e,r){var n=e[0],i=e[1],a=e[2],o=r[0],s=r[1],l=r[2];return t[0]=i*l-a*s,t[1]=a*o-n*l,t[2]=n*s-i*o,t},t.deepEqual=function t(e,r){if(Array.isArray(e)){if(!Array.isArray(r)||e.length!==r.length)return!1;for(var n=0;n0&&(a=1/Math.sqrt(a)),t[0]=e[0]*a,t[1]=e[1]*a,t[2]=e[2]*a,t},t.number=er,t.offscreenCanvasSupported=bt,t.ortho=function(t,e,r,n,i,a,o){var s=1/(e-r),l=1/(n-i),u=1/(a-o);return t[0]=-2*s,t[1]=0,t[2]=0,t[3]=0,t[4]=0,t[5]=-2*l,t[6]=0,t[7]=0,t[8]=0,t[9]=0,t[10]=2*u,t[11]=0,t[12]=(e+r)*s,t[13]=(i+n)*l,t[14]=(o+a)*u,t[15]=1,t},t.parseGlyphPBF=function(t){return new Ol(t).readFields(Ql,[])},t.pbf=Ol,t.performSymbolLayout=function(t,e,r,n,i,a,o){t.createArrays();var s=512*t.overscaling;t.tilePixelRatio=po/s,t.compareText={},t.iconsNeedLinear=!1;var l=t.layers[0].layout,u=t.layers[0]._unevaluatedLayout._values,c={};if("composite"===t.textSizeData.kind){var f=t.textSizeData,h=f.minZoom,p=f.maxZoom;c.compositeTextSizes=[u["text-size"].possiblyEvaluate(new Di(h),o),u["text-size"].possiblyEvaluate(new Di(p),o)]}if("composite"===t.iconSizeData.kind){var d=t.iconSizeData,v=d.minZoom,g=d.maxZoom;c.compositeIconSizes=[u["icon-size"].possiblyEvaluate(new Di(v),o),u["icon-size"].possiblyEvaluate(new Di(g),o)]}c.layoutTextSize=u["text-size"].possiblyEvaluate(new Di(t.zoom+1),o),c.layoutIconSize=u["icon-size"].possiblyEvaluate(new Di(t.zoom+1),o),c.textMaxSize=u["text-size"].possiblyEvaluate(new Di(18));for(var y=l.get("text-line-height")*Ll,m="map"===l.get("text-rotation-alignment")&&"point"!==l.get("symbol-placement"),x=l.get("text-keep-upright"),b=l.get("text-size"),_=function(){var a=T[w],s=l.get("text-font").evaluate(a,{},o).join(","),u=b.evaluate(a,{},o),f=c.layoutTextSize.evaluate(a,{},o),h=c.layoutIconSize.evaluate(a,{},o),p={horizontal:{},vertical:void 0},d=a.text,v=[0,0];if(d){var g=d.toString(),_=l.get("text-letter-spacing").evaluate(a,{},o)*Ll,A=function(t){for(var e=0,r=t;e=po||f.y<0||f.y>=po||function(t,e,r,n,i,a,o,s,l,u,c,f,h,p,d,v,g,y,m,x,b,_,w,T,A){var M,S,E,L,C,P=t.addToLineVertexArray(e,r),O=0,I=0,D=0,z=0,R=-1,F=-1,B={},N=ja(""),j=0,U=0;if(void 0===s._unevaluatedLayout.getValue("text-radial-offset")?(j=(M=s.layout.get("text-offset").evaluate(b,{},T).map((function(t){return t*Ll})))[0],U=M[1]):(j=s.layout.get("text-radial-offset").evaluate(b,{},T)*Ll,U=Ju),t.allowVerticalPlacement&&n.vertical){var V=s.layout.get("text-rotate").evaluate(b,{},T)+90,q=n.vertical;L=new Hu(l,e,u,c,f,q,h,p,d,V),o&&(C=new Hu(l,e,u,c,f,o,g,y,d,V))}if(i){var H=s.layout.get("icon-rotate").evaluate(b,{}),G="none"!==s.layout.get("icon-text-fit"),W=Nu(i,H,w,G),Y=o?Nu(o,H,w,G):void 0;E=new Hu(l,e,u,c,f,i,g,y,!1,H),O=4*W.length;var X=t.iconSizeData,Z=null;"source"===X.kind?(Z=[Au*s.layout.get("icon-size").evaluate(b,{})])[0]>ec&&k(t.layerIds[0]+': Value for "icon-size" is >= '+tc+'. Reduce your "icon-size".'):"composite"===X.kind&&((Z=[Au*_.compositeIconSizes[0].evaluate(b,{},T),Au*_.compositeIconSizes[1].evaluate(b,{},T)])[0]>ec||Z[1]>ec)&&k(t.layerIds[0]+': Value for "icon-size" is >= '+tc+'. Reduce your "icon-size".'),t.addSymbols(t.icon,W,Z,x,m,b,!1,e,P.lineStartIndex,P.lineLength,-1,T),R=t.icon.placedSymbolArray.length-1,Y&&(I=4*Y.length,t.addSymbols(t.icon,Y,Z,x,m,b,lu.vertical,e,P.lineStartIndex,P.lineLength,-1,T),F=t.icon.placedSymbolArray.length-1)}for(var K in n.horizontal){var J=n.horizontal[K];if(!S){N=ja(J.text);var $=s.layout.get("text-rotate").evaluate(b,{},T);S=new Hu(l,e,u,c,f,J,h,p,d,$)}var Q=1===J.positionedLines.length;if(D+=rc(t,e,J,a,s,d,b,v,P,n.vertical?lu.horizontal:lu.horizontalOnly,Q?Object.keys(n.horizontal):[K],B,R,_,T),Q)break}n.vertical&&(z+=rc(t,e,n.vertical,a,s,d,b,v,P,lu.vertical,["vertical"],B,F,_,T));var tt=S?S.boxStartIndex:t.collisionBoxArray.length,et=S?S.boxEndIndex:t.collisionBoxArray.length,rt=L?L.boxStartIndex:t.collisionBoxArray.length,nt=L?L.boxEndIndex:t.collisionBoxArray.length,it=E?E.boxStartIndex:t.collisionBoxArray.length,at=E?E.boxEndIndex:t.collisionBoxArray.length,ot=C?C.boxStartIndex:t.collisionBoxArray.length,st=C?C.boxEndIndex:t.collisionBoxArray.length,lt=-1,ut=function(t,e){return t&&t.circleDiameter?Math.max(t.circleDiameter,e):e};lt=ut(S,lt),lt=ut(L,lt),lt=ut(E,lt);var ct=(lt=ut(C,lt))>-1?1:0;ct&&(lt*=A/Ll),t.glyphOffsetArray.length>=hc.MAX_GLYPHS&&k("Too many glyphs being rendered in a tile. See https://github.com/mapbox/mapbox-gl-js/issues/2907"),void 0!==b.sortKey&&t.addToSortKeyRanges(t.symbolInstances.length,b.sortKey),t.symbolInstances.emplaceBack(e.x,e.y,B.right>=0?B.right:-1,B.center>=0?B.center:-1,B.left>=0?B.left:-1,B.vertical||-1,R,F,N,tt,et,rt,nt,it,at,ot,st,u,D,z,O,I,ct,0,h,j,U,lt)}(t,f,s,r,n,i,h,t.layers[0],t.collisionBoxArray,e.index,e.sourceLayerIndex,t.index,m,w,M,l,b,T,S,d,e,a,u,c,o)};if("line"===E)for(var O=0,I=Fu(e.geometry,0,0,po,po);O1){var U=Du(j,A,r.vertical||v,n,g,x);U&&P(j,U)}}else if("Polygon"===e.type)for(var V=0,q=Fs(e.geometry,0);V=E.maxzoom||"none"!==E.visibility&&(o(S,this.zoom,n),(v[E.id]=E.createBucket({index:c.bucketLayerIDs.length,layers:S,zoom:this.zoom,pixelRatio:this.pixelRatio,overscaling:this.overscaling,collisionBoxArray:this.collisionBoxArray,sourceLayerIndex:b,sourceID:this.source})).populate(_,g,this.tileID.canonical),c.bucketLayerIDs.push(S.map((function(t){return t.id}))))}}}var L=t.mapObject(g.glyphDependencies,(function(t){return Object.keys(t).map(Number)}));Object.keys(L).length?a.send("getGlyphs",{uid:this.uid,stacks:L},(function(t,e){f||(f=t,h=e,O.call(l))})):h={};var C=Object.keys(g.iconDependencies);C.length?a.send("getImages",{icons:C,source:this.source,tileID:this.tileID,type:"icons"},(function(t,e){f||(f=t,p=e,O.call(l))})):p={};var P=Object.keys(g.patternDependencies);function O(){if(f)return s(f);if(h&&p&&d){var e=new i(h),r=new t.ImageAtlas(p,d);for(var a in v){var l=v[a];l instanceof t.SymbolBucket?(o(l.layers,this.zoom,n),t.performSymbolLayout(l,h,e.positions,p,r.iconPositions,this.showCollisionBoxes,this.tileID.canonical)):l.hasPattern&&(l instanceof t.LineBucket||l instanceof t.FillBucket||l instanceof t.FillExtrusionBucket)&&(o(l.layers,this.zoom,n),l.addFeatures(g,this.tileID.canonical,r.patternPositions))}this.status="done",s(null,{buckets:t.values(v).filter((function(t){return!t.isEmpty()})),featureIndex:c,collisionBoxArray:this.collisionBoxArray,glyphAtlasImage:e.image,imageAtlas:r,glyphMap:this.returnDependencies?h:null,iconMap:this.returnDependencies?p:null,glyphPositions:this.returnDependencies?e.positions:null})}}P.length?a.send("getImages",{icons:P,source:this.source,tileID:this.tileID,type:"patterns"},(function(t,e){f||(f=t,d=e,O.call(l))})):d={},O.call(this)};var l=function(t,e,r,n){this.actor=t,this.layerIndex=e,this.availableImages=r,this.loadVectorData=n||s,this.loading={},this.loaded={}};l.prototype.loadTile=function(e,r){var n=this,i=e.uid;this.loading||(this.loading={});var o=!!(e&&e.request&&e.request.collectResourceTiming)&&new t.RequestPerformance(e.request),s=this.loading[i]=new a(e);s.abort=this.loadVectorData(e,(function(e,a){if(delete n.loading[i],e||!a)return s.status="done",n.loaded[i]=s,r(e);var l=a.rawData,u={};a.expires&&(u.expires=a.expires),a.cacheControl&&(u.cacheControl=a.cacheControl);var c={};if(o){var f=o.finish();f&&(c.resourceTiming=JSON.parse(JSON.stringify(f)))}s.vectorTile=a.vectorTile,s.parse(a.vectorTile,n.layerIndex,n.availableImages,n.actor,(function(e,n){if(e||!n)return r(e);r(null,t.extend({rawTileData:l.slice(0)},n,u,c))})),n.loaded=n.loaded||{},n.loaded[i]=s}))},l.prototype.reloadTile=function(t,e){var r=this,n=this.loaded,i=t.uid,a=this;if(n&&n[i]){var o=n[i];o.showCollisionBoxes=t.showCollisionBoxes;var s=function(t,n){var i=o.reloadCallback;i&&(delete o.reloadCallback,o.parse(o.vectorTile,a.layerIndex,r.availableImages,a.actor,i)),e(t,n)};"parsing"===o.status?o.reloadCallback=s:"done"===o.status&&(o.vectorTile?o.parse(o.vectorTile,this.layerIndex,this.availableImages,this.actor,s):s())}},l.prototype.abortTile=function(t,e){var r=this.loading,n=t.uid;r&&r[n]&&r[n].abort&&(r[n].abort(),delete r[n]),e()},l.prototype.removeTile=function(t,e){var r=this.loaded,n=t.uid;r&&r[n]&&delete r[n],e()};var u=t.window.ImageBitmap,c=function(){this.loaded={}};c.prototype.loadTile=function(e,r){var n=e.uid,i=e.encoding,a=e.rawImageData,o=u&&a instanceof u?this.getImageData(a):a,s=new t.DEMData(n,o,i);this.loaded=this.loaded||{},this.loaded[n]=s,r(null,s)},c.prototype.getImageData=function(e){this.offscreenCanvas&&this.offscreenCanvasContext||(this.offscreenCanvas=new OffscreenCanvas(e.width,e.height),this.offscreenCanvasContext=this.offscreenCanvas.getContext("2d")),this.offscreenCanvas.width=e.width,this.offscreenCanvas.height=e.height,this.offscreenCanvasContext.drawImage(e,0,0,e.width,e.height);var r=this.offscreenCanvasContext.getImageData(-1,-1,e.width+2,e.height+2);return this.offscreenCanvasContext.clearRect(0,0,this.offscreenCanvas.width,this.offscreenCanvas.height),new t.RGBAImage({width:r.width,height:r.height},r.data)},c.prototype.removeTile=function(t){var e=this.loaded,r=t.uid;e&&e[r]&&delete e[r]};var f=function t(e,r){var n,i=e&&e.type;if("FeatureCollection"===i)for(n=0;n=0!=!!e&&t.reverse()}var d=t.vectorTile.VectorTileFeature.prototype.toGeoJSON,v=function(e){this._feature=e,this.extent=t.EXTENT,this.type=e.type,this.properties=e.tags,"id"in e&&!isNaN(e.id)&&(this.id=parseInt(e.id,10))};v.prototype.loadGeometry=function(){if(1===this._feature.type){for(var e=[],r=0,n=this._feature.geometry;r>31}function P(t,e){for(var r=t.loadGeometry(),n=t.type,i=0,a=0,o=r.length,s=0;s>1;D(t,e,o,n,i,a%2),I(t,e,r,n,o-1,a+1),I(t,e,r,o+1,i,a+1)}}function D(t,e,r,n,i,a){for(;i>n;){if(i-n>600){var o=i-n+1,s=r-n+1,l=Math.log(o),u=.5*Math.exp(2*l/3),c=.5*Math.sqrt(l*u*(o-u)/o)*(s-o/2<0?-1:1);D(t,e,r,Math.max(n,Math.floor(r-s*u/o+c)),Math.min(i,Math.floor(r+(o-s)*u/o+c)),a)}var f=e[2*r+a],h=n,p=i;for(z(t,e,n,r),e[2*i+a]>f&&z(t,e,n,i);hf;)p--}e[2*n+a]===f?z(t,e,n,p):z(t,e,++p,i),p<=r&&(n=p+1),r<=p&&(i=p-1)}}function z(t,e,r,n){R(t,r,n),R(e,2*r,2*n),R(e,2*r+1,2*n+1)}function R(t,e,r){var n=t[e];t[e]=t[r],t[r]=n}function F(t,e,r,n){var i=t-r,a=e-n;return i*i+a*a}_.fromVectorTileJs=w,_.fromGeojsonVt=T,_.GeoJSONWrapper=k;var B=function(t){return t[0]},N=function(t){return t[1]},j=function(t,e,r,n,i){void 0===e&&(e=B),void 0===r&&(r=N),void 0===n&&(n=64),void 0===i&&(i=Float64Array),this.nodeSize=n,this.points=t;for(var a=t.length<65536?Uint16Array:Uint32Array,o=this.ids=new a(t.length),s=this.coords=new i(2*t.length),l=0;l=r&&s<=i&&l>=n&&l<=a&&c.push(t[d]);else{var v=Math.floor((p+h)/2);s=e[2*v],l=e[2*v+1],s>=r&&s<=i&&l>=n&&l<=a&&c.push(t[v]);var g=(f+1)%2;(0===f?r<=s:n<=l)&&(u.push(p),u.push(v-1),u.push(g)),(0===f?i>=s:a>=l)&&(u.push(v+1),u.push(h),u.push(g))}}return c}(this.ids,this.coords,t,e,r,n,this.nodeSize)},j.prototype.within=function(t,e,r){return function(t,e,r,n,i,a){for(var o=[0,t.length-1,0],s=[],l=i*i;o.length;){var u=o.pop(),c=o.pop(),f=o.pop();if(c-f<=a)for(var h=f;h<=c;h++)F(e[2*h],e[2*h+1],r,n)<=l&&s.push(t[h]);else{var p=Math.floor((f+c)/2),d=e[2*p],v=e[2*p+1];F(d,v,r,n)<=l&&s.push(t[p]);var g=(u+1)%2;(0===u?r-i<=d:n-i<=v)&&(o.push(f),o.push(p-1),o.push(g)),(0===u?r+i>=d:n+i>=v)&&(o.push(p+1),o.push(c),o.push(g))}}return s}(this.ids,this.coords,t,e,r,this.nodeSize)};var U={minZoom:0,maxZoom:16,minPoints:2,radius:40,extent:512,nodeSize:64,log:!1,generateId:!1,reduce:null,map:function(t){return t}},V=function(t){this.options=Z(Object.create(U),t),this.trees=new Array(this.options.maxZoom+1)};function q(t,e,r,n,i){return{x:t,y:e,zoom:1/0,id:r,parentId:-1,numPoints:n,properties:i}}function H(t,e){var r=t.geometry.coordinates,n=r[0],i=r[1];return{x:Y(n),y:X(i),zoom:1/0,index:e,parentId:-1}}function G(t){return{type:"Feature",id:t.id,properties:W(t),geometry:{type:"Point",coordinates:[(n=t.x,360*(n-.5)),(e=t.y,r=(180-360*e)*Math.PI/180,360*Math.atan(Math.exp(r))/Math.PI-90)]}};var e,r,n}function W(t){var e=t.numPoints,r=e>=1e4?Math.round(e/1e3)+"k":e>=1e3?Math.round(e/100)/10+"k":e;return Z(Z({},t.properties),{cluster:!0,cluster_id:t.id,point_count:e,point_count_abbreviated:r})}function Y(t){return t/360+.5}function X(t){var e=Math.sin(t*Math.PI/180),r=.5-.25*Math.log((1+e)/(1-e))/Math.PI;return r<0?0:r>1?1:r}function Z(t,e){for(var r in e)t[r]=e[r];return t}function K(t){return t.x}function J(t){return t.y}function $(t,e,r,n){for(var i,a=n,o=r-e>>1,s=r-e,l=t[e],u=t[e+1],c=t[r],f=t[r+1],h=e+3;ha)i=h,a=p;else if(p===a){var d=Math.abs(h-o);dn&&(i-e>3&&$(t,e,i,n),t[i+2]=a,r-i>3&&$(t,i,r,n))}function Q(t,e,r,n,i,a){var o=i-r,s=a-n;if(0!==o||0!==s){var l=((t-r)*o+(e-n)*s)/(o*o+s*s);l>1?(r=i,n=a):l>0&&(r+=o*l,n+=s*l)}return(o=t-r)*o+(s=e-n)*s}function tt(t,e,r,n){var i={id:void 0===t?null:t,type:e,geometry:r,tags:n,minX:1/0,minY:1/0,maxX:-1/0,maxY:-1/0};return function(t){var e=t.geometry,r=t.type;if("Point"===r||"MultiPoint"===r||"LineString"===r)et(t,e);else if("Polygon"===r||"MultiLineString"===r)for(var n=0;n0&&(o+=n?(i*u-l*a)/2:Math.sqrt(Math.pow(l-i,2)+Math.pow(u-a,2))),i=l,a=u}var c=e.length-3;e[2]=1,$(e,0,c,r),e[c+2]=1,e.size=Math.abs(o),e.start=0,e.end=e.size}function at(t,e,r,n){for(var i=0;i1?1:r}function lt(t,e,r,n,i,a,o,s){if(n/=e,a>=(r/=e)&&o=n)return null;for(var l=[],u=0;u=r&&d=n)){var v=[];if("Point"===h||"MultiPoint"===h)ut(f,v,r,n,i);else if("LineString"===h)ct(f,v,r,n,i,!1,s.lineMetrics);else if("MultiLineString"===h)ht(f,v,r,n,i,!1);else if("Polygon"===h)ht(f,v,r,n,i,!0);else if("MultiPolygon"===h)for(var g=0;g=r&&o<=n&&(e.push(t[a]),e.push(t[a+1]),e.push(t[a+2]))}}function ct(t,e,r,n,i,a,o){for(var s,l,u=ft(t),c=0===i?dt:vt,f=t.start,h=0;hr&&(l=c(u,p,d,g,y,r),o&&(u.start=f+s*l)):m>n?x=r&&(l=c(u,p,d,g,y,r),b=!0),x>n&&m<=n&&(l=c(u,p,d,g,y,n),b=!0),!a&&b&&(o&&(u.end=f+s*l),e.push(u),u=ft(t)),o&&(f+=s)}var _=t.length-3;p=t[_],d=t[_+1],v=t[_+2],(m=0===i?p:d)>=r&&m<=n&&pt(u,p,d,v),_=u.length-3,a&&_>=3&&(u[_]!==u[0]||u[_+1]!==u[1])&&pt(u,u[0],u[1],u[2]),u.length&&e.push(u)}function ft(t){var e=[];return e.size=t.size,e.start=t.start,e.end=t.end,e}function ht(t,e,r,n,i,a){for(var o=0;oo.maxX&&(o.maxX=c),f>o.maxY&&(o.maxY=f)}return o}function _t(t,e,r,n){var i=e.geometry,a=e.type,o=[];if("Point"===a||"MultiPoint"===a)for(var s=0;s0&&e.size<(i?o:n))r.numPoints+=e.length/3;else{for(var s=[],l=0;lo)&&(r.numSimplified++,s.push(e[l]),s.push(e[l+1])),r.numPoints++;i&&function(t,e){for(var r=0,n=0,i=t.length,a=i-2;n0===e)for(n=0,i=t.length;n24)throw new Error("maxZoom should be in the 0-24 range");if(e.promoteId&&e.generateId)throw new Error("promoteId and generateId cannot be used together.");var n=function(t,e){var r=[];if("FeatureCollection"===t.type)for(var n=0;n=n;u--){var c=+Date.now();s=this._cluster(s,u),this.trees[u]=new j(s,K,J,a,Float32Array),r&&console.log("z%d: %d clusters in %dms",u,s.length,+Date.now()-c)}return r&&console.timeEnd("total time"),this},V.prototype.getClusters=function(t,e){var r=((t[0]+180)%360+360)%360-180,n=Math.max(-90,Math.min(90,t[1])),i=180===t[2]?180:((t[2]+180)%360+360)%360-180,a=Math.max(-90,Math.min(90,t[3]));if(t[2]-t[0]>=360)r=-180,i=180;else if(r>i){var o=this.getClusters([r,n,180,a],e),s=this.getClusters([-180,n,i,a],e);return o.concat(s)}for(var l=this.trees[this._limitZoom(e)],u=[],c=0,f=l.range(Y(r),X(a),Y(i),X(n));ce&&(d+=m.numPoints||1)}if(d>=s){for(var x=c.x*p,b=c.y*p,_=o&&p>1?this._map(c,!0):null,w=(u<<5)+(e+1)+this.points.length,T=0,k=h;T1)for(var E=0,L=h;E>5},V.prototype._getOriginZoom=function(t){return(t-this.points.length)%32},V.prototype._map=function(t,e){if(t.numPoints)return e?Z({},t.properties):t.properties;var r=this.points[t.index].properties,n=this.options.map(r);return e&&n===r?Z({},n):n},Tt.prototype.options={maxZoom:14,indexMaxZoom:5,indexMaxPoints:1e5,tolerance:3,extent:4096,buffer:64,lineMetrics:!1,promoteId:null,generateId:!1,debug:0},Tt.prototype.splitTile=function(t,e,r,n,i,a,o){for(var s=[t,e,r,n],l=this.options,u=l.debug;s.length;){n=s.pop(),r=s.pop(),e=s.pop(),t=s.pop();var c=1<1&&console.time("creation"),h=this.tiles[f]=bt(t,e,r,n,l),this.tileCoords.push({z:e,x:r,y:n}),u)){u>1&&(console.log("tile z%d-%d-%d (features: %d, points: %d, simplified: %d)",e,r,n,h.numFeatures,h.numPoints,h.numSimplified),console.timeEnd("creation"));var p="z"+e;this.stats[p]=(this.stats[p]||0)+1,this.total++}if(h.source=t,i){if(e===l.maxZoom||e===i)continue;var d=1<1&&console.time("clipping");var v,g,y,m,x,b,_=.5*l.buffer/l.extent,w=.5-_,T=.5+_,k=1+_;v=g=y=m=null,x=lt(t,c,r-_,r+T,0,h.minX,h.maxX,l),b=lt(t,c,r+w,r+k,0,h.minX,h.maxX,l),t=null,x&&(v=lt(x,c,n-_,n+T,1,h.minY,h.maxY,l),g=lt(x,c,n+w,n+k,1,h.minY,h.maxY,l),x=null),b&&(y=lt(b,c,n-_,n+T,1,h.minY,h.maxY,l),m=lt(b,c,n+w,n+k,1,h.minY,h.maxY,l),b=null),u>1&&console.timeEnd("clipping"),s.push(v||[],e+1,2*r,2*n),s.push(g||[],e+1,2*r,2*n+1),s.push(y||[],e+1,2*r+1,2*n),s.push(m||[],e+1,2*r+1,2*n+1)}}},Tt.prototype.getTile=function(t,e,r){var n=this.options,i=n.extent,a=n.debug;if(t<0||t>24)return null;var o=1<1&&console.log("drilling down to z%d-%d-%d",t,e,r);for(var l,u=t,c=e,f=r;!l&&u>0;)u--,c=Math.floor(c/2),f=Math.floor(f/2),l=this.tiles[kt(u,c,f)];return l&&l.source?(a>1&&console.log("found parent tile z%d-%d-%d",u,c,f),a>1&&console.time("drilling down"),this.splitTile(l.source,u,c,f,t,e,r),a>1&&console.timeEnd("drilling down"),this.tiles[s]?mt(this.tiles[s],i):null):null};var Mt=function(e){function r(t,r,n,i){e.call(this,t,r,n,At),i&&(this.loadGeoJSON=i)}return e&&(r.__proto__=e),r.prototype=Object.create(e&&e.prototype),r.prototype.constructor=r,r.prototype.loadData=function(t,e){this._pendingCallback&&this._pendingCallback(null,{abandoned:!0}),this._pendingCallback=e,this._pendingLoadDataParams=t,this._state&&"Idle"!==this._state?this._state="NeedsLoadData":(this._state="Coalescing",this._loadData())},r.prototype._loadData=function(){var e=this;if(this._pendingCallback&&this._pendingLoadDataParams){var r=this._pendingCallback,n=this._pendingLoadDataParams;delete this._pendingCallback,delete this._pendingLoadDataParams;var i=!!(n&&n.request&&n.request.collectResourceTiming)&&new t.RequestPerformance(n.request);this.loadGeoJSON(n,(function(a,o){if(a||!o)return r(a);if("object"!=typeof o)return r(new Error("Input data given to '"+n.source+"' is not a valid GeoJSON object."));f(o,!0);try{if(n.filter){var s=t.createExpression(n.filter,{type:"boolean","property-type":"data-driven",overridable:!1,transition:!1});if("error"===s.result)throw new Error(s.value.map((function(t){return t.key+": "+t.message})).join(", "));var l=o.features.filter((function(t){return s.value.evaluate({zoom:0},t)}));o={type:"FeatureCollection",features:l}}e._geoJSONIndex=n.cluster?new V(function(e){var r=e.superclusterOptions,n=e.clusterProperties;if(!n||!r)return r;for(var i={},a={},o={accumulated:null,zoom:0},s={properties:null},l=Object.keys(n),u=0,c=l;u=0?0:e.button},r.remove=function(t){t.parentNode&&t.parentNode.removeChild(t)};var h=function(e){function r(){e.call(this),this.images={},this.updatedImages={},this.callbackDispatchedThisFrame={},this.loaded=!1,this.requestors=[],this.patterns={},this.atlasImage=new t.RGBAImage({width:1,height:1}),this.dirty=!0}return e&&(r.__proto__=e),r.prototype=Object.create(e&&e.prototype),r.prototype.constructor=r,r.prototype.isLoaded=function(){return this.loaded},r.prototype.setLoaded=function(t){if(this.loaded!==t&&(this.loaded=t,t)){for(var e=0,r=this.requestors;e=0?1.2:1))}function y(t,e,r,n,i,a,o){for(var s=0;s65535)e(new Error("glyphs > 65535 not supported"));else if(a.ranges[s])e(null,{stack:r,id:i,glyph:o});else{var l=a.requests[s];l||(l=a.requests[s]=[],x.loadGlyphRange(r,s,n.url,n.requestManager,(function(t,e){if(e){for(var r in e)n._doesCharSupportLocalGlyph(+r)||(a.glyphs[+r]=e[+r]);a.ranges[s]=!0}for(var i=0,o=l;i1&&(l=t[++s]);var c=Math.abs(u-l.left),f=Math.abs(u-l.right),h=Math.min(c,f),p=void 0,d=i/r*(n+1);if(l.isDash){var v=n-Math.abs(d);p=Math.sqrt(h*h+v*v)}else p=n-Math.sqrt(h*h+d*d);this.data[o+u]=Math.max(0,Math.min(255,p+128))}},k.prototype.addRegularDash=function(t){for(var e=t.length-1;e>=0;--e){var r=t[e],n=t[e+1];r.zeroLength?t.splice(e,1):n&&n.isDash===r.isDash&&(n.left=r.left,t.splice(e,1))}var i=t[0],a=t[t.length-1];i.isDash===a.isDash&&(i.left=a.left-this.width,a.right=i.right+this.width);for(var o=this.width*this.nextRow,s=0,l=t[s],u=0;u1&&(l=t[++s]);var c=Math.abs(u-l.left),f=Math.abs(u-l.right),h=Math.min(c,f),p=l.isDash?h:-h;this.data[o+u]=Math.max(0,Math.min(255,p+128))}},k.prototype.addDash=function(e,r){var n=r?7:0,i=2*n+1;if(this.nextRow+i>this.height)return t.warnOnce("LineAtlas out of space"),null;for(var a=0,o=0;o=n&&e.x=i&&e.y0&&(l[new t.OverscaledTileID(e.overscaledZ,a,r.z,i,r.y-1).key]={backfilled:!1},l[new t.OverscaledTileID(e.overscaledZ,e.wrap,r.z,r.x,r.y-1).key]={backfilled:!1},l[new t.OverscaledTileID(e.overscaledZ,s,r.z,o,r.y-1).key]={backfilled:!1}),r.y+10&&(n.resourceTiming=e._resourceTiming,e._resourceTiming=[]),e.fire(new t.Event("data",n))}}))},r.prototype.onAdd=function(t){this.map=t,this.load()},r.prototype.setData=function(e){var r=this;return this._data=e,this.fire(new t.Event("dataloading",{dataType:"source"})),this._updateWorkerData((function(e){if(e)r.fire(new t.ErrorEvent(e));else{var n={dataType:"source",sourceDataType:"content"};r._collectResourceTiming&&r._resourceTiming&&r._resourceTiming.length>0&&(n.resourceTiming=r._resourceTiming,r._resourceTiming=[]),r.fire(new t.Event("data",n))}})),this},r.prototype.getClusterExpansionZoom=function(t,e){return this.actor.send("geojson.getClusterExpansionZoom",{clusterId:t,source:this.id},e),this},r.prototype.getClusterChildren=function(t,e){return this.actor.send("geojson.getClusterChildren",{clusterId:t,source:this.id},e),this},r.prototype.getClusterLeaves=function(t,e,r,n){return this.actor.send("geojson.getClusterLeaves",{source:this.id,clusterId:t,limit:e,offset:r},n),this},r.prototype._updateWorkerData=function(e){var r=this;this._loaded=!1;var n=t.extend({},this.workerOptions),i=this._data;"string"==typeof i?(n.request=this.map._requestManager.transformRequest(t.browser.resolveURL(i),t.ResourceType.Source),n.request.collectResourceTiming=this._collectResourceTiming):n.data=JSON.stringify(i),this.actor.send(this.type+".loadData",n,(function(t,i){r._removed||i&&i.abandoned||(r._loaded=!0,i&&i.resourceTiming&&i.resourceTiming[r.id]&&(r._resourceTiming=i.resourceTiming[r.id].slice(0)),r.actor.send(r.type+".coalesce",{source:n.source},null),e(t))}))},r.prototype.loaded=function(){return this._loaded},r.prototype.loadTile=function(e,r){var n=this,i=e.actor?"reloadTile":"loadTile";e.actor=this.actor;var a={type:this.type,uid:e.uid,tileID:e.tileID,zoom:e.tileID.overscaledZ,maxZoom:this.maxzoom,tileSize:this.tileSize,source:this.id,pixelRatio:t.browser.devicePixelRatio,showCollisionBoxes:this.map.showCollisionBoxes,promoteId:this.promoteId};e.request=this.actor.send(i,a,(function(t,a){return delete e.request,e.unloadVectorData(),e.aborted?r(null):t?r(t):(e.loadVectorData(a,n.map.painter,"reloadTile"===i),r(null))}))},r.prototype.abortTile=function(t){t.request&&(t.request.cancel(),delete t.request),t.aborted=!0},r.prototype.unloadTile=function(t){t.unloadVectorData(),this.actor.send("removeTile",{uid:t.uid,type:this.type,source:this.id})},r.prototype.onRemove=function(){this._removed=!0,this.actor.send("removeSource",{type:this.type,source:this.id})},r.prototype.serialize=function(){return t.extend({},this._options,{type:this.type,data:this._data})},r.prototype.hasTransition=function(){return!1},r}(t.Evented),O=t.createLayout([{name:"a_pos",type:"Int16",components:2},{name:"a_texture_pos",type:"Int16",components:2}]),I=function(e){function r(t,r,n,i){e.call(this),this.id=t,this.dispatcher=n,this.coordinates=r.coordinates,this.type="image",this.minzoom=0,this.maxzoom=22,this.tileSize=512,this.tiles={},this._loaded=!1,this.setEventedParent(i),this.options=r}return e&&(r.__proto__=e),r.prototype=Object.create(e&&e.prototype),r.prototype.constructor=r,r.prototype.load=function(e,r){var n=this;this._loaded=!1,this.fire(new t.Event("dataloading",{dataType:"source"})),this.url=this.options.url,t.getImage(this.map._requestManager.transformRequest(this.url,t.ResourceType.Image),(function(i,a){n._loaded=!0,i?n.fire(new t.ErrorEvent(i)):a&&(n.image=a,e&&(n.coordinates=e),r&&r(),n._finishLoading())}))},r.prototype.loaded=function(){return this._loaded},r.prototype.updateImage=function(t){var e=this;return this.image&&t.url?(this.options.url=t.url,this.load(t.coordinates,(function(){e.texture=null})),this):this},r.prototype._finishLoading=function(){this.map&&(this.setCoordinates(this.coordinates),this.fire(new t.Event("data",{dataType:"source",sourceDataType:"metadata"})))},r.prototype.onAdd=function(t){this.map=t,this.load()},r.prototype.setCoordinates=function(e){var r=this;this.coordinates=e;var n=e.map(t.MercatorCoordinate.fromLngLat);this.tileID=function(e){for(var r=1/0,n=1/0,i=-1/0,a=-1/0,o=0,s=e;or.end(0)?this.fire(new t.ErrorEvent(new t.ValidationError("sources."+this.id,null,"Playback for this video can be set only between the "+r.start(0)+" and "+r.end(0)+"-second mark."))):this.video.currentTime=e}},r.prototype.getVideo=function(){return this.video},r.prototype.onAdd=function(t){this.map||(this.map=t,this.load(),this.video&&(this.video.play(),this.setCoordinates(this.coordinates)))},r.prototype.prepare=function(){if(!(0===Object.keys(this.tiles).length||this.video.readyState<2)){var e=this.map.painter.context,r=e.gl;for(var n in this.boundsBuffer||(this.boundsBuffer=e.createVertexBuffer(this._boundsArray,O.members)),this.boundsSegments||(this.boundsSegments=t.SegmentVector.simpleSegment(0,0,4,2)),this.texture?this.video.paused||(this.texture.bind(r.LINEAR,r.CLAMP_TO_EDGE),r.texSubImage2D(r.TEXTURE_2D,0,0,0,r.RGBA,r.UNSIGNED_BYTE,this.video)):(this.texture=new t.Texture(e,this.video,r.RGBA),this.texture.bind(r.LINEAR,r.CLAMP_TO_EDGE)),this.tiles){var i=this.tiles[n];"loaded"!==i.state&&(i.state="loaded",i.texture=this.texture)}}},r.prototype.serialize=function(){return{type:"video",urls:this.urls,coordinates:this.coordinates}},r.prototype.hasTransition=function(){return this.video&&!this.video.paused},r}(I),z=function(e){function r(r,n,i,a){e.call(this,r,n,i,a),n.coordinates?Array.isArray(n.coordinates)&&4===n.coordinates.length&&!n.coordinates.some((function(t){return!Array.isArray(t)||2!==t.length||t.some((function(t){return"number"!=typeof t}))}))||this.fire(new t.ErrorEvent(new t.ValidationError("sources."+r,null,'"coordinates" property must be an array of 4 longitude/latitude array pairs'))):this.fire(new t.ErrorEvent(new t.ValidationError("sources."+r,null,'missing required property "coordinates"'))),n.animate&&"boolean"!=typeof n.animate&&this.fire(new t.ErrorEvent(new t.ValidationError("sources."+r,null,'optional "animate" property must be a boolean value'))),n.canvas?"string"==typeof n.canvas||n.canvas instanceof t.window.HTMLCanvasElement||this.fire(new t.ErrorEvent(new t.ValidationError("sources."+r,null,'"canvas" must be either a string representing the ID of the canvas element from which to read, or an HTMLCanvasElement instance'))):this.fire(new t.ErrorEvent(new t.ValidationError("sources."+r,null,'missing required property "canvas"'))),this.options=n,this.animate=void 0===n.animate||n.animate}return e&&(r.__proto__=e),r.prototype=Object.create(e&&e.prototype),r.prototype.constructor=r,r.prototype.load=function(){this._loaded=!0,this.canvas||(this.canvas=this.options.canvas instanceof t.window.HTMLCanvasElement?this.options.canvas:t.window.document.getElementById(this.options.canvas)),this.width=this.canvas.width,this.height=this.canvas.height,this._hasInvalidDimensions()?this.fire(new t.ErrorEvent(new Error("Canvas dimensions cannot be less than or equal to zero."))):(this.play=function(){this._playing=!0,this.map.triggerRepaint()},this.pause=function(){this._playing&&(this.prepare(),this._playing=!1)},this._finishLoading())},r.prototype.getCanvas=function(){return this.canvas},r.prototype.onAdd=function(t){this.map=t,this.load(),this.canvas&&this.animate&&this.play()},r.prototype.onRemove=function(){this.pause()},r.prototype.prepare=function(){var e=!1;if(this.canvas.width!==this.width&&(this.width=this.canvas.width,e=!0),this.canvas.height!==this.height&&(this.height=this.canvas.height,e=!0),!this._hasInvalidDimensions()&&0!==Object.keys(this.tiles).length){var r=this.map.painter.context,n=r.gl;for(var i in this.boundsBuffer||(this.boundsBuffer=r.createVertexBuffer(this._boundsArray,O.members)),this.boundsSegments||(this.boundsSegments=t.SegmentVector.simpleSegment(0,0,4,2)),this.texture?(e||this._playing)&&this.texture.update(this.canvas,{premultiply:!0}):this.texture=new t.Texture(r,this.canvas,n.RGBA,{premultiply:!0}),this.tiles){var a=this.tiles[i];"loaded"!==a.state&&(a.state="loaded",a.texture=this.texture)}}},r.prototype.serialize=function(){return{type:"canvas",coordinates:this.coordinates}},r.prototype.hasTransition=function(){return this._playing},r.prototype._hasInvalidDimensions=function(){for(var t=0,e=[this.canvas.width,this.canvas.height];tthis.max){var o=this._getAndRemoveByKey(this.order[0]);o&&this.onRemove(o)}return this},j.prototype.has=function(t){return t.wrapped().key in this.data},j.prototype.getAndRemove=function(t){return this.has(t)?this._getAndRemoveByKey(t.wrapped().key):null},j.prototype._getAndRemoveByKey=function(t){var e=this.data[t].shift();return e.timeout&&clearTimeout(e.timeout),0===this.data[t].length&&delete this.data[t],this.order.splice(this.order.indexOf(t),1),e.value},j.prototype.getByKey=function(t){var e=this.data[t];return e?e[0].value:null},j.prototype.get=function(t){return this.has(t)?this.data[t.wrapped().key][0].value:null},j.prototype.remove=function(t,e){if(!this.has(t))return this;var r=t.wrapped().key,n=void 0===e?0:this.data[r].indexOf(e),i=this.data[r][n];return this.data[r].splice(n,1),i.timeout&&clearTimeout(i.timeout),0===this.data[r].length&&delete this.data[r],this.onRemove(i.value),this.order.splice(this.order.indexOf(r),1),this},j.prototype.setMaxSize=function(t){for(this.max=t;this.order.length>this.max;){var e=this._getAndRemoveByKey(this.order[0]);e&&this.onRemove(e)}return this},j.prototype.filter=function(t){var e=[];for(var r in this.data)for(var n=0,i=this.data[r];n1||(Math.abs(r)>1&&(1===Math.abs(r+i)?r+=i:1===Math.abs(r-i)&&(r-=i)),e.dem&&t.dem&&(t.dem.backfillBorder(e.dem,r,n),t.neighboringTiles&&t.neighboringTiles[a]&&(t.neighboringTiles[a].backfilled=!0)))}},r.prototype.getTile=function(t){return this.getTileByID(t.key)},r.prototype.getTileByID=function(t){return this._tiles[t]},r.prototype._retainLoadedChildren=function(t,e,r,n){for(var i in this._tiles){var a=this._tiles[i];if(!(n[i]||!a.hasData()||a.tileID.overscaledZ<=e||a.tileID.overscaledZ>r)){for(var o=a.tileID;a&&a.tileID.overscaledZ>e+1;){var s=a.tileID.scaledTo(a.tileID.overscaledZ-1);(a=this._tiles[s.key])&&a.hasData()&&(o=s)}for(var l=o;l.overscaledZ>e;)if(t[(l=l.scaledTo(l.overscaledZ-1)).key]){n[o.key]=o;break}}}},r.prototype.findLoadedParent=function(t,e){if(t.key in this._loadedParentTiles){var r=this._loadedParentTiles[t.key];return r&&r.tileID.overscaledZ>=e?r:null}for(var n=t.overscaledZ-1;n>=e;n--){var i=t.scaledTo(n),a=this._getLoadedTile(i);if(a)return a}},r.prototype._getLoadedTile=function(t){var e=this._tiles[t.key];return e&&e.hasData()?e:this._cache.getByKey(t.wrapped().key)},r.prototype.updateCacheSize=function(t){var e=(Math.ceil(t.width/this._source.tileSize)+1)*(Math.ceil(t.height/this._source.tileSize)+1),r=Math.floor(5*e),n="number"==typeof this._maxTileCacheSize?Math.min(this._maxTileCacheSize,r):r;this._cache.setMaxSize(n)},r.prototype.handleWrapJump=function(t){var e=(t-(void 0===this._prevLng?t:this._prevLng))/360,r=Math.round(e);if(this._prevLng=t,r){var n={};for(var i in this._tiles){var a=this._tiles[i];a.tileID=a.tileID.unwrapTo(a.tileID.wrap+r),n[a.tileID.key]=a}for(var o in this._tiles=n,this._timers)clearTimeout(this._timers[o]),delete this._timers[o];for(var s in this._tiles){var l=this._tiles[s];this._setTileReloadTimer(s,l)}}},r.prototype.update=function(e){var n=this;if(this.transform=e,this._sourceLoaded&&!this._paused){var i;this.updateCacheSize(e),this.handleWrapJump(this.transform.center.lng),this._coveredTiles={},this.used?this._source.tileID?i=e.getVisibleUnwrappedCoordinates(this._source.tileID).map((function(e){return new t.OverscaledTileID(e.canonical.z,e.wrap,e.canonical.z,e.canonical.x,e.canonical.y)})):(i=e.coveringTiles({tileSize:this._source.tileSize,minzoom:this._source.minzoom,maxzoom:this._source.maxzoom,roundZoom:this._source.roundZoom,reparseOverscaled:this._source.reparseOverscaled}),this._source.hasTile&&(i=i.filter((function(t){return n._source.hasTile(t)})))):i=[];var a=e.coveringZoomLevel(this._source),o=Math.max(a-r.maxOverzooming,this._source.minzoom),s=Math.max(a+r.maxUnderzooming,this._source.minzoom),l=this._updateRetainedTiles(i,a);if(Dt(this._source.type)){for(var u={},c={},f=0,h=Object.keys(l);fthis._source.maxzoom){var g=d.children(this._source.maxzoom)[0],y=this.getTile(g);if(y&&y.hasData()){n[g.key]=g;continue}}else{var m=d.children(this._source.maxzoom);if(n[m[0].key]&&n[m[1].key]&&n[m[2].key]&&n[m[3].key])continue}for(var x=v.wasRequested(),b=d.overscaledZ-1;b>=a;--b){var _=d.scaledTo(b);if(i[_.key])break;if(i[_.key]=!0,!(v=this.getTile(_))&&x&&(v=this._addTile(_)),v&&(n[_.key]=_,x=v.wasRequested(),v.hasData()))break}}}return n},r.prototype._updateLoadedParentTileCache=function(){for(var t in this._loadedParentTiles={},this._tiles){for(var e=[],r=void 0,n=this._tiles[t].tileID;n.overscaledZ>0;){if(n.key in this._loadedParentTiles){r=this._loadedParentTiles[n.key];break}e.push(n.key);var i=n.scaledTo(n.overscaledZ-1);if(r=this._getLoadedTile(i))break;n=i}for(var a=0,o=e;a0||(e.hasData()&&"reloading"!==e.state?this._cache.add(e.tileID,e,e.getExpiryTimeout()):(e.aborted=!0,this._abortTile(e),this._unloadTile(e))))},r.prototype.clearTiles=function(){for(var t in this._shouldReloadOnResume=!1,this._paused=!1,this._tiles)this._removeTile(t);this._cache.reset()},r.prototype.tilesIn=function(e,r,n){var i=this,a=[],o=this.transform;if(!o)return a;for(var s=n?o.getCameraQueryGeometry(e):e,l=e.map((function(t){return o.pointCoordinate(t)})),u=s.map((function(t){return o.pointCoordinate(t)})),c=this.getIds(),f=1/0,h=1/0,p=-1/0,d=-1/0,v=0,g=u;v=0&&y[1].y+g>=0){var m=l.map((function(t){return s.getTilePoint(t)})),x=u.map((function(t){return s.getTilePoint(t)}));a.push({tile:n,tileID:s,queryGeometry:m,cameraQueryGeometry:x,scale:v})}}},x=0;x=t.browser.now())return!0}return!1},r.prototype.setFeatureState=function(t,e,r){t=t||"_geojsonTileLayer",this._state.updateState(t,e,r)},r.prototype.removeFeatureState=function(t,e,r){t=t||"_geojsonTileLayer",this._state.removeFeatureState(t,e,r)},r.prototype.getFeatureState=function(t,e){return t=t||"_geojsonTileLayer",this._state.getState(t,e)},r.prototype.setDependencies=function(t,e,r){var n=this._tiles[t];n&&n.setDependencies(e,r)},r.prototype.reloadTilesForDependencies=function(t,e){for(var r in this._tiles)this._tiles[r].hasDependency(t,e)&&this._reloadTile(r,"reloading");this._cache.filter((function(r){return!r.hasDependency(t,e)}))},r}(t.Evented);function It(t,e){var r=Math.abs(2*t.wrap)-+(t.wrap<0),n=Math.abs(2*e.wrap)-+(e.wrap<0);return t.overscaledZ-e.overscaledZ||n-r||e.canonical.y-t.canonical.y||e.canonical.x-t.canonical.x}function Dt(t){return"raster"===t||"image"===t||"video"===t}function zt(){return new t.window.Worker(oa.workerUrl)}Ot.maxOverzooming=10,Ot.maxUnderzooming=3;var Rt="mapboxgl_preloaded_worker_pool",Ft=function(){this.active={}};Ft.prototype.acquire=function(t){if(!this.workers)for(this.workers=[];this.workers.length0?(i-o)/s:0;return this.points[a].mult(1-l).add(this.points[r].mult(l))};var Qt=function(t,e,r){var n=this.boxCells=[],i=this.circleCells=[];this.xCellCount=Math.ceil(t/r),this.yCellCount=Math.ceil(e/r);for(var a=0;a=-e[0]&&r<=e[0]&&n>=-e[1]&&n<=e[1]}function ae(e,r,n,i,a,o,s,l){var u=i?e.textSizeData:e.iconSizeData,c=t.evaluateSizeForZoom(u,n.transform.zoom),f=[256/n.width*2+1,256/n.height*2+1],h=i?e.text.dynamicLayoutVertexArray:e.icon.dynamicLayoutVertexArray;h.clear();for(var p=e.lineVertexArray,d=i?e.text.placedSymbolArray:e.icon.placedSymbolArray,v=n.transform.width/n.transform.height,g=!1,y=0;yMath.abs(n.x-r.x)*i?{useVertical:!0}:(e===t.WritingMode.vertical?r.yn.x)?{needsFlipping:!0}:null}function le(e,r,n,i,a,o,s,l,u,c,f,h,p,d){var v,g=r/24,y=e.lineOffsetX*g,m=e.lineOffsetY*g;if(e.numGlyphs>1){var x=e.glyphStartIndex+e.numGlyphs,b=e.lineStartIndex,_=e.lineStartIndex+e.lineLength,w=oe(g,l,y,m,n,f,h,e,u,o,p);if(!w)return{notEnoughRoom:!0};var T=re(w.first.point,s).point,k=re(w.last.point,s).point;if(i&&!n){var A=se(e.writingMode,T,k,d);if(A)return A}v=[w.first];for(var M=e.glyphStartIndex+1;M0?C.point:ue(h,L,S,1,a),O=se(e.writingMode,S,P,d);if(O)return O}var I=ce(g*l.getoffsetX(e.glyphStartIndex),y,m,n,f,h,e.segment,e.lineStartIndex,e.lineStartIndex+e.lineLength,u,o,p);if(!I)return{notEnoughRoom:!0};v=[I]}for(var D=0,z=v;D0?1:-1,v=0;i&&(d*=-1,v=Math.PI),d<0&&(v+=Math.PI);for(var g=d>0?l+s:l+s+1,y=a,m=a,x=0,b=0,_=Math.abs(p),w=[];x+b<=_;){if((g+=d)=u)return null;if(m=y,w.push(y),void 0===(y=h[g])){var T=new t.Point(c.getx(g),c.gety(g)),k=re(T,f);if(k.signedDistanceFromCamera>0)y=h[g]=k.point;else{var A=g-d;y=ue(0===x?o:new t.Point(c.getx(A),c.gety(A)),T,m,_-x+1,f)}}x+=b,b=m.dist(y)}var M=(_-x)/b,S=y.sub(m),E=S.mult(M)._add(m);E._add(S._unit()._perp()._mult(n*d));var L=v+Math.atan2(y.y-m.y,y.x-m.x);return w.push(E),{point:E,angle:L,path:w}}Qt.prototype.keysLength=function(){return this.boxKeys.length+this.circleKeys.length},Qt.prototype.insert=function(t,e,r,n,i){this._forEachCell(e,r,n,i,this._insertBoxCell,this.boxUid++),this.boxKeys.push(t),this.bboxes.push(e),this.bboxes.push(r),this.bboxes.push(n),this.bboxes.push(i)},Qt.prototype.insertCircle=function(t,e,r,n){this._forEachCell(e-n,r-n,e+n,r+n,this._insertCircleCell,this.circleUid++),this.circleKeys.push(t),this.circles.push(e),this.circles.push(r),this.circles.push(n)},Qt.prototype._insertBoxCell=function(t,e,r,n,i,a){this.boxCells[i].push(a)},Qt.prototype._insertCircleCell=function(t,e,r,n,i,a){this.circleCells[i].push(a)},Qt.prototype._query=function(t,e,r,n,i,a){if(r<0||t>this.width||n<0||e>this.height)return!i&&[];var o=[];if(t<=0&&e<=0&&this.width<=r&&this.height<=n){if(i)return!0;for(var s=0;s0:o},Qt.prototype._queryCircle=function(t,e,r,n,i){var a=t-r,o=t+r,s=e-r,l=e+r;if(o<0||a>this.width||l<0||s>this.height)return!n&&[];var u=[],c={hitTest:n,circle:{x:t,y:e,radius:r},seenUids:{box:{},circle:{}}};return this._forEachCell(a,s,o,l,this._queryCellCircle,u,c,i),n?u.length>0:u},Qt.prototype.query=function(t,e,r,n,i){return this._query(t,e,r,n,!1,i)},Qt.prototype.hitTest=function(t,e,r,n,i){return this._query(t,e,r,n,!0,i)},Qt.prototype.hitTestCircle=function(t,e,r,n){return this._queryCircle(t,e,r,!0,n)},Qt.prototype._queryCell=function(t,e,r,n,i,a,o,s){var l=o.seenUids,u=this.boxCells[i];if(null!==u)for(var c=this.bboxes,f=0,h=u;f=c[d+0]&&n>=c[d+1]&&(!s||s(this.boxKeys[p]))){if(o.hitTest)return a.push(!0),!0;a.push({key:this.boxKeys[p],x1:c[d],y1:c[d+1],x2:c[d+2],y2:c[d+3]})}}}var v=this.circleCells[i];if(null!==v)for(var g=this.circles,y=0,m=v;yo*o+s*s},Qt.prototype._circleAndRectCollide=function(t,e,r,n,i,a,o){var s=(a-n)/2,l=Math.abs(t-(n+s));if(l>s+r)return!1;var u=(o-i)/2,c=Math.abs(e-(i+u));if(c>u+r)return!1;if(l<=s||c<=u)return!0;var f=l-s,h=c-u;return f*f+h*h<=r*r};var fe=new Float32Array([-1/0,-1/0,0,-1/0,-1/0,0,-1/0,-1/0,0,-1/0,-1/0,0]);function he(t,e){for(var r=0;r=1;P--)C.push(E.path[P]);for(var O=1;O0){for(var R=C[0].clone(),F=C[0].clone(),B=1;B=A.x&&F.x<=M.x&&R.y>=A.y&&F.y<=M.y?[C]:F.xM.x||F.yM.y?[]:t.clipLine([C],A.x,A.y,M.x,M.y)}for(var N=0,j=z;N=this.screenRightBoundary||nthis.screenBottomBoundary},ve.prototype.isInsideGrid=function(t,e,r,n){return r>=0&&t=0&&e0?(this.prevPlacement&&this.prevPlacement.variableOffsets[f.crossTileID]&&this.prevPlacement.placements[f.crossTileID]&&this.prevPlacement.placements[f.crossTileID].text&&(v=this.prevPlacement.variableOffsets[f.crossTileID].anchor),this.variableOffsets[f.crossTileID]={textOffset:g,width:r,height:n,anchor:t,textBoxScale:i,prevAnchor:v},this.markUsedJustification(h,t,f,p),h.allowVerticalPlacement&&(this.markUsedOrientation(h,p,f),this.placedOrientations[f.crossTileID]=p),{shift:y,placedGlyphBoxes:m}):void 0},Ae.prototype.placeLayerBucketPart=function(e,r,n){var i=this,a=e.parameters,o=a.bucket,s=a.layout,l=a.posMatrix,u=a.textLabelPlaneMatrix,c=a.labelToScreenMatrix,f=a.textPixelRatio,h=a.holdingForFade,p=a.collisionBoxArray,d=a.partiallyEvaluatedTextSize,v=a.collisionGroup,g=s.get("text-optional"),y=s.get("icon-optional"),m=s.get("text-allow-overlap"),x=s.get("icon-allow-overlap"),b="map"===s.get("text-rotation-alignment"),_="map"===s.get("text-pitch-alignment"),w="none"!==s.get("icon-text-fit"),T="viewport-y"===s.get("symbol-z-order"),k=m&&(x||!o.hasIconData()||y),A=x&&(m||!o.hasTextData()||g);!o.collisionArrays&&p&&o.deserializeCollisionBoxes(p);var M=function(e,a){if(!r[e.crossTileID])if(h)i.placements[e.crossTileID]=new xe(!1,!1,!1);else{var p,T=!1,M=!1,S=!0,E=null,L={box:null,offscreen:null},C={box:null,offscreen:null},P=null,O=null,I=0,D=0,z=0;a.textFeatureIndex?I=a.textFeatureIndex:e.useRuntimeCollisionCircles&&(I=e.featureIndex),a.verticalTextFeatureIndex&&(D=a.verticalTextFeatureIndex);var R=a.textBox;if(R){var F=function(r){var n=t.WritingMode.horizontal;if(o.allowVerticalPlacement&&!r&&i.prevPlacement){var a=i.prevPlacement.placedOrientations[e.crossTileID];a&&(i.placedOrientations[e.crossTileID]=a,n=a,i.markUsedOrientation(o,n,e))}return n},B=function(r,n){if(o.allowVerticalPlacement&&e.numVerticalGlyphVertices>0&&a.verticalTextBox)for(var i=0,s=o.writingModes;i0&&(N=N.filter((function(t){return t!==j.anchor}))).unshift(j.anchor)}var U=function(t,r,n){for(var a=t.x2-t.x1,s=t.y2-t.y1,u=e.textBoxScale,c=w&&!x?r:null,h={box:[],offscreen:!1},p=m?2*N.length:N.length,d=0;d=N.length,k=i.attemptAnchorPlacement(g,t,a,s,u,b,_,f,l,v,y,e,o,n,c);if(k&&(h=k.placedGlyphBoxes)&&h.box&&h.box.length){T=!0,E=k.shift;break}}return h};B((function(){return U(R,a.iconBox,t.WritingMode.horizontal)}),(function(){var r=a.verticalTextBox,n=L&&L.box&&L.box.length;return o.allowVerticalPlacement&&!n&&e.numVerticalGlyphVertices>0&&r?U(r,a.verticalIconBox,t.WritingMode.vertical):{box:null,offscreen:null}})),L&&(T=L.box,S=L.offscreen);var V=F(L&&L.box);if(!T&&i.prevPlacement){var q=i.prevPlacement.variableOffsets[e.crossTileID];q&&(i.variableOffsets[e.crossTileID]=q,i.markUsedJustification(o,q.anchor,e,V))}}else{var H=function(t,r){var n=i.collisionIndex.placeCollisionBox(t,m,f,l,v.predicate);return n&&n.box&&n.box.length&&(i.markUsedOrientation(o,r,e),i.placedOrientations[e.crossTileID]=r),n};B((function(){return H(R,t.WritingMode.horizontal)}),(function(){var r=a.verticalTextBox;return o.allowVerticalPlacement&&e.numVerticalGlyphVertices>0&&r?H(r,t.WritingMode.vertical):{box:null,offscreen:null}})),F(L&&L.box&&L.box.length)}}if(T=(p=L)&&p.box&&p.box.length>0,S=p&&p.offscreen,e.useRuntimeCollisionCircles){var G=o.text.placedSymbolArray.get(e.centerJustifiedTextSymbolIndex),W=t.evaluateSizeForFeature(o.textSizeData,d,G),Y=s.get("text-padding"),X=e.collisionCircleDiameter;P=i.collisionIndex.placeCollisionCircles(m,G,o.lineVertexArray,o.glyphOffsetArray,W,l,u,c,n,_,v.predicate,X,Y),T=m||P.circles.length>0&&!P.collisionDetected,S=S&&P.offscreen}if(a.iconFeatureIndex&&(z=a.iconFeatureIndex),a.iconBox){var Z=function(t){var e=w&&E?ke(t,E.x,E.y,b,_,i.transform.angle):t;return i.collisionIndex.placeCollisionBox(e,x,f,l,v.predicate)};M=C&&C.box&&C.box.length&&a.verticalIconBox?(O=Z(a.verticalIconBox)).box.length>0:(O=Z(a.iconBox)).box.length>0,S=S&&O.offscreen}var K=g||0===e.numHorizontalGlyphVertices&&0===e.numVerticalGlyphVertices,J=y||0===e.numIconVertices;if(K||J?J?K||(M=M&&T):T=M&&T:M=T=M&&T,T&&p&&p.box&&(C&&C.box&&D?i.collisionIndex.insertCollisionBox(p.box,s.get("text-ignore-placement"),o.bucketInstanceId,D,v.ID):i.collisionIndex.insertCollisionBox(p.box,s.get("text-ignore-placement"),o.bucketInstanceId,I,v.ID)),M&&O&&i.collisionIndex.insertCollisionBox(O.box,s.get("icon-ignore-placement"),o.bucketInstanceId,z,v.ID),P&&(T&&i.collisionIndex.insertCollisionCircles(P.circles,s.get("text-ignore-placement"),o.bucketInstanceId,I,v.ID),n)){var $=o.bucketInstanceId,Q=i.collisionCircleArrays[$];void 0===Q&&(Q=i.collisionCircleArrays[$]=new be);for(var tt=0;tt=0;--E){var L=S[E];M(o.symbolInstances.get(L),o.collisionArrays[L])}else for(var C=e.symbolInstanceStart;C=0&&(e.text.placedSymbolArray.get(u).crossTileID=a>=0&&u!==a?0:n.crossTileID)}},Ae.prototype.markUsedOrientation=function(e,r,n){for(var i=r===t.WritingMode.horizontal||r===t.WritingMode.horizontalOnly?r:0,a=r===t.WritingMode.vertical?r:0,o=0,s=[n.leftJustifiedTextSymbolIndex,n.centerJustifiedTextSymbolIndex,n.rightJustifiedTextSymbolIndex];o0||l>0,x=a.numIconVertices>0,b=i.placedOrientations[a.crossTileID],_=b===t.WritingMode.vertical,w=b===t.WritingMode.horizontal||b===t.WritingMode.horizontalOnly;if(m){var T=De(y.text),k=_?ze:T;d(e.text,s,k);var A=w?ze:T;d(e.text,l,A);var M=y.text.isHidden();[a.rightJustifiedTextSymbolIndex,a.centerJustifiedTextSymbolIndex,a.leftJustifiedTextSymbolIndex].forEach((function(t){t>=0&&(e.text.placedSymbolArray.get(t).hidden=M||_?1:0)})),a.verticalPlacedTextSymbolIndex>=0&&(e.text.placedSymbolArray.get(a.verticalPlacedTextSymbolIndex).hidden=M||w?1:0);var S=i.variableOffsets[a.crossTileID];S&&i.markUsedJustification(e,S.anchor,a,b);var E=i.placedOrientations[a.crossTileID];E&&(i.markUsedJustification(e,"left",a,E),i.markUsedOrientation(e,E,a))}if(x){var L=De(y.icon),C=!(h&&a.verticalPlacedIconSymbolIndex&&_);if(a.placedIconSymbolIndex>=0){var P=C?L:ze;d(e.icon,a.numIconVertices,P),e.icon.placedSymbolArray.get(a.placedIconSymbolIndex).hidden=y.icon.isHidden()}if(a.verticalPlacedIconSymbolIndex>=0){var O=C?ze:L;d(e.icon,a.numVerticalIconVertices,O),e.icon.placedSymbolArray.get(a.verticalPlacedIconSymbolIndex).hidden=y.icon.isHidden()}}if(e.hasIconCollisionBoxData()||e.hasTextCollisionBoxData()){var I=e.collisionArrays[n];if(I){var D=new t.Point(0,0);if(I.textBox||I.verticalTextBox){var z=!0;if(u){var R=i.variableOffsets[v];R?(D=Te(R.anchor,R.width,R.height,R.textOffset,R.textBoxScale),c&&D._rotate(f?i.transform.angle:-i.transform.angle)):z=!1}I.textBox&&Me(e.textCollisionBox.collisionVertexArray,y.text.placed,!z||_,D.x,D.y),I.verticalTextBox&&Me(e.textCollisionBox.collisionVertexArray,y.text.placed,!z||w,D.x,D.y)}var F=Boolean(!w&&I.verticalIconBox);I.iconBox&&Me(e.iconCollisionBox.collisionVertexArray,y.icon.placed,F,h?D.x:0,h?D.y:0),I.verticalIconBox&&Me(e.iconCollisionBox.collisionVertexArray,y.icon.placed,!F,h?D.x:0,h?D.y:0)}}},g=0;gt},Ae.prototype.setStale=function(){this.stale=!0};var Se=Math.pow(2,25),Ee=Math.pow(2,24),Le=Math.pow(2,17),Ce=Math.pow(2,16),Pe=Math.pow(2,9),Oe=Math.pow(2,8),Ie=Math.pow(2,1);function De(t){if(0===t.opacity&&!t.placed)return 0;if(1===t.opacity&&t.placed)return 4294967295;var e=t.placed?1:0,r=Math.floor(127*t.opacity);return r*Se+e*Ee+r*Le+e*Ce+r*Pe+e*Oe+r*Ie+e}var ze=0,Re=function(t){this._sortAcrossTiles="viewport-y"!==t.layout.get("symbol-z-order")&&void 0!==t.layout.get("symbol-sort-key").constantOr(1),this._currentTileIndex=0,this._currentPartIndex=0,this._seenCrossTileIDs={},this._bucketParts=[]};Re.prototype.continuePlacement=function(t,e,r,n,i){for(var a=this._bucketParts;this._currentTileIndex2};this._currentPlacementIndex>=0;){var s=r[e[this._currentPlacementIndex]],l=this.placement.collisionIndex.transform.zoom;if("symbol"===s.type&&(!s.minzoom||s.minzoom<=l)&&(!s.maxzoom||s.maxzoom>l)){if(this._inProgressLayer||(this._inProgressLayer=new Re(s)),this._inProgressLayer.continuePlacement(n[s.source],this.placement,this._showCollisionBoxes,s,o))return;delete this._inProgressLayer}this._currentPlacementIndex--}this._done=!0},Fe.prototype.commit=function(t){return this.placement.commit(t),this.placement};var Be=512/t.EXTENT/2,Ne=function(t,e,r){this.tileID=t,this.indexedSymbolInstances={},this.bucketInstanceId=r;for(var n=0;nt.overscaledZ)for(var s in o){var l=o[s];l.tileID.isChildOf(t)&&l.findMatches(e.symbolInstances,t,i)}else{var u=o[t.scaledTo(Number(a)).key];u&&u.findMatches(e.symbolInstances,t,i)}}for(var c=0;c1?"@2x":"",l=t.getJSON(r.transformRequest(r.normalizeSpriteURL(e,s,".json"),t.ResourceType.SpriteJSON),(function(t,e){l=null,o||(o=t,i=e,c())})),u=t.getImage(r.transformRequest(r.normalizeSpriteURL(e,s,".png"),t.ResourceType.SpriteImage),(function(t,e){u=null,o||(o=t,a=e,c())}));function c(){if(o)n(o);else if(i&&a){var e=t.browser.getImageData(a),r={};for(var s in i){var l=i[s],u=l.width,c=l.height,f=l.x,h=l.y,p=l.sdf,d=l.pixelRatio,v=l.stretchX,g=l.stretchY,y=l.content,m=new t.RGBAImage({width:u,height:c});t.RGBAImage.copy(e,m,{x:f,y:h},{x:0,y:0},{width:u,height:c}),r[s]={data:m,pixelRatio:d,sdf:p,stretchX:v,stretchY:g,content:y}}n(null,r)}}return{cancel:function(){l&&(l.cancel(),l=null),u&&(u.cancel(),u=null)}}}(e,this.map._requestManager,(function(e,n){if(r._spriteRequest=null,e)r.fire(new t.ErrorEvent(e));else if(n)for(var i in n)r.imageManager.addImage(i,n[i]);r.imageManager.setLoaded(!0),r._availableImages=r.imageManager.listImages(),r.dispatcher.broadcast("setImages",r._availableImages),r.fire(new t.Event("data",{dataType:"style"}))}))},r.prototype._validateLayer=function(e){var r=this.sourceCaches[e.source];if(r){var n=e.sourceLayer;if(n){var i=r.getSource();("geojson"===i.type||i.vectorLayerIds&&-1===i.vectorLayerIds.indexOf(n))&&this.fire(new t.ErrorEvent(new Error('Source layer "'+n+'" does not exist on source "'+i.id+'" as specified by style layer "'+e.id+'"')))}}},r.prototype.loaded=function(){if(!this._loaded)return!1;if(Object.keys(this._updatedSources).length)return!1;for(var t in this.sourceCaches)if(!this.sourceCaches[t].loaded())return!1;return!!this.imageManager.isLoaded()},r.prototype._serializeLayers=function(t){for(var e=[],r=0,n=t;r0)throw new Error("Unimplemented: "+i.map((function(t){return t.command})).join(", ")+".");return n.forEach((function(t){"setTransition"!==t.command&&r[t.command].apply(r,t.args)})),this.stylesheet=e,!0},r.prototype.addImage=function(e,r){if(this.getImage(e))return this.fire(new t.ErrorEvent(new Error("An image with this name already exists.")));this.imageManager.addImage(e,r),this._afterImageUpdated(e)},r.prototype.updateImage=function(t,e){this.imageManager.updateImage(t,e)},r.prototype.getImage=function(t){return this.imageManager.getImage(t)},r.prototype.removeImage=function(e){if(!this.getImage(e))return this.fire(new t.ErrorEvent(new Error("No image with this name exists.")));this.imageManager.removeImage(e),this._afterImageUpdated(e)},r.prototype._afterImageUpdated=function(e){this._availableImages=this.imageManager.listImages(),this._changedImages[e]=!0,this._changed=!0,this.dispatcher.broadcast("setImages",this._availableImages),this.fire(new t.Event("data",{dataType:"style"}))},r.prototype.listImages=function(){return this._checkLoaded(),this.imageManager.listImages()},r.prototype.addSource=function(e,r,n){var i=this;if(void 0===n&&(n={}),this._checkLoaded(),void 0!==this.sourceCaches[e])throw new Error("There is already a source with this ID");if(!r.type)throw new Error("The type property must be defined, but only the following properties were given: "+Object.keys(r).join(", ")+".");if(!(["vector","raster","geojson","video","image"].indexOf(r.type)>=0&&this._validate(t.validateStyle.source,"sources."+e,r,null,n))){this.map&&this.map._collectResourceTiming&&(r.collectResourceTiming=!0);var a=this.sourceCaches[e]=new Ot(e,r,this.dispatcher);a.style=this,a.setEventedParent(this,(function(){return{isSourceLoaded:i.loaded(),source:a.serialize(),sourceId:e}})),a.onAdd(this.map),this._changed=!0}},r.prototype.removeSource=function(e){if(this._checkLoaded(),void 0===this.sourceCaches[e])throw new Error("There is no source with this ID");for(var r in this._layers)if(this._layers[r].source===e)return this.fire(new t.ErrorEvent(new Error('Source "'+e+'" cannot be removed while layer "'+r+'" is using it.')));var n=this.sourceCaches[e];delete this.sourceCaches[e],delete this._updatedSources[e],n.fire(new t.Event("data",{sourceDataType:"metadata",dataType:"source",sourceId:e})),n.setEventedParent(null),n.clearTiles(),n.onRemove&&n.onRemove(this.map),this._changed=!0},r.prototype.setGeoJSONSourceData=function(t,e){this._checkLoaded(),this.sourceCaches[t].getSource().setData(e),this._changed=!0},r.prototype.getSource=function(t){return this.sourceCaches[t]&&this.sourceCaches[t].getSource()},r.prototype.addLayer=function(e,r,n){void 0===n&&(n={}),this._checkLoaded();var i=e.id;if(this.getLayer(i))this.fire(new t.ErrorEvent(new Error('Layer with id "'+i+'" already exists on this map')));else{var a;if("custom"===e.type){if(qe(this,t.validateCustomStyleLayer(e)))return;a=t.createStyleLayer(e)}else{if("object"==typeof e.source&&(this.addSource(i,e.source),e=t.clone$1(e),e=t.extend(e,{source:i})),this._validate(t.validateStyle.layer,"layers."+i,e,{arrayIndex:-1},n))return;a=t.createStyleLayer(e),this._validateLayer(a),a.setEventedParent(this,{layer:{id:i}}),this._serializedLayers[a.id]=a.serialize()}var o=r?this._order.indexOf(r):this._order.length;if(r&&-1===o)this.fire(new t.ErrorEvent(new Error('Layer with id "'+r+'" does not exist on this map.')));else{if(this._order.splice(o,0,i),this._layerOrderChanged=!0,this._layers[i]=a,this._removedLayers[i]&&a.source&&"custom"!==a.type){var s=this._removedLayers[i];delete this._removedLayers[i],s.type!==a.type?this._updatedSources[a.source]="clear":(this._updatedSources[a.source]="reload",this.sourceCaches[a.source].pause())}this._updateLayer(a),a.onAdd&&a.onAdd(this.map)}}},r.prototype.moveLayer=function(e,r){if(this._checkLoaded(),this._changed=!0,this._layers[e]){if(e!==r){var n=this._order.indexOf(e);this._order.splice(n,1);var i=r?this._order.indexOf(r):this._order.length;r&&-1===i?this.fire(new t.ErrorEvent(new Error('Layer with id "'+r+'" does not exist on this map.'))):(this._order.splice(i,0,e),this._layerOrderChanged=!0)}}else this.fire(new t.ErrorEvent(new Error("The layer '"+e+"' does not exist in the map's style and cannot be moved.")))},r.prototype.removeLayer=function(e){this._checkLoaded();var r=this._layers[e];if(r){r.setEventedParent(null);var n=this._order.indexOf(e);this._order.splice(n,1),this._layerOrderChanged=!0,this._changed=!0,this._removedLayers[e]=r,delete this._layers[e],delete this._serializedLayers[e],delete this._updatedLayers[e],delete this._updatedPaintProps[e],r.onRemove&&r.onRemove(this.map)}else this.fire(new t.ErrorEvent(new Error("The layer '"+e+"' does not exist in the map's style and cannot be removed.")))},r.prototype.getLayer=function(t){return this._layers[t]},r.prototype.hasLayer=function(t){return t in this._layers},r.prototype.setLayerZoomRange=function(e,r,n){this._checkLoaded();var i=this.getLayer(e);i?i.minzoom===r&&i.maxzoom===n||(null!=r&&(i.minzoom=r),null!=n&&(i.maxzoom=n),this._updateLayer(i)):this.fire(new t.ErrorEvent(new Error("The layer '"+e+"' does not exist in the map's style and cannot have zoom extent.")))},r.prototype.setFilter=function(e,r,n){void 0===n&&(n={}),this._checkLoaded();var i=this.getLayer(e);if(i){if(!t.deepEqual(i.filter,r))return null==r?(i.filter=void 0,void this._updateLayer(i)):void(this._validate(t.validateStyle.filter,"layers."+i.id+".filter",r,null,n)||(i.filter=t.clone$1(r),this._updateLayer(i)))}else this.fire(new t.ErrorEvent(new Error("The layer '"+e+"' does not exist in the map's style and cannot be filtered.")))},r.prototype.getFilter=function(e){return t.clone$1(this.getLayer(e).filter)},r.prototype.setLayoutProperty=function(e,r,n,i){void 0===i&&(i={}),this._checkLoaded();var a=this.getLayer(e);a?t.deepEqual(a.getLayoutProperty(r),n)||(a.setLayoutProperty(r,n,i),this._updateLayer(a)):this.fire(new t.ErrorEvent(new Error("The layer '"+e+"' does not exist in the map's style and cannot be styled.")))},r.prototype.getLayoutProperty=function(e,r){var n=this.getLayer(e);if(n)return n.getLayoutProperty(r);this.fire(new t.ErrorEvent(new Error("The layer '"+e+"' does not exist in the map's style.")))},r.prototype.setPaintProperty=function(e,r,n,i){void 0===i&&(i={}),this._checkLoaded();var a=this.getLayer(e);a?t.deepEqual(a.getPaintProperty(r),n)||(a.setPaintProperty(r,n,i)&&this._updateLayer(a),this._changed=!0,this._updatedPaintProps[e]=!0):this.fire(new t.ErrorEvent(new Error("The layer '"+e+"' does not exist in the map's style and cannot be styled.")))},r.prototype.getPaintProperty=function(t,e){return this.getLayer(t).getPaintProperty(e)},r.prototype.setFeatureState=function(e,r){this._checkLoaded();var n=e.source,i=e.sourceLayer,a=this.sourceCaches[n];if(void 0!==a){var o=a.getSource().type;"geojson"===o&&i?this.fire(new t.ErrorEvent(new Error("GeoJSON sources cannot have a sourceLayer parameter."))):"vector"!==o||i?(void 0===e.id&&this.fire(new t.ErrorEvent(new Error("The feature id parameter must be provided."))),a.setFeatureState(i,e.id,r)):this.fire(new t.ErrorEvent(new Error("The sourceLayer parameter must be provided for vector source types.")))}else this.fire(new t.ErrorEvent(new Error("The source '"+n+"' does not exist in the map's style.")))},r.prototype.removeFeatureState=function(e,r){this._checkLoaded();var n=e.source,i=this.sourceCaches[n];if(void 0!==i){var a=i.getSource().type,o="vector"===a?e.sourceLayer:void 0;"vector"!==a||o?r&&"string"!=typeof e.id&&"number"!=typeof e.id?this.fire(new t.ErrorEvent(new Error("A feature id is required to remove its specific state property."))):i.removeFeatureState(o,e.id,r):this.fire(new t.ErrorEvent(new Error("The sourceLayer parameter must be provided for vector source types.")))}else this.fire(new t.ErrorEvent(new Error("The source '"+n+"' does not exist in the map's style.")))},r.prototype.getFeatureState=function(e){this._checkLoaded();var r=e.source,n=e.sourceLayer,i=this.sourceCaches[r];if(void 0!==i){if("vector"!==i.getSource().type||n)return void 0===e.id&&this.fire(new t.ErrorEvent(new Error("The feature id parameter must be provided."))),i.getFeatureState(n,e.id);this.fire(new t.ErrorEvent(new Error("The sourceLayer parameter must be provided for vector source types.")))}else this.fire(new t.ErrorEvent(new Error("The source '"+r+"' does not exist in the map's style.")))},r.prototype.getTransition=function(){return t.extend({duration:300,delay:0},this.stylesheet&&this.stylesheet.transition)},r.prototype.serialize=function(){return t.filterObject({version:this.stylesheet.version,name:this.stylesheet.name,metadata:this.stylesheet.metadata,light:this.stylesheet.light,center:this.stylesheet.center,zoom:this.stylesheet.zoom,bearing:this.stylesheet.bearing,pitch:this.stylesheet.pitch,sprite:this.stylesheet.sprite,glyphs:this.stylesheet.glyphs,transition:this.stylesheet.transition,sources:t.mapObject(this.sourceCaches,(function(t){return t.serialize()})),layers:this._serializeLayers(this._order)},(function(t){return void 0!==t}))},r.prototype._updateLayer=function(t){this._updatedLayers[t.id]=!0,t.source&&!this._updatedSources[t.source]&&"raster"!==this.sourceCaches[t.source].getSource().type&&(this._updatedSources[t.source]="reload",this.sourceCaches[t.source].pause()),this._changed=!0},r.prototype._flattenAndSortRenderedFeatures=function(t){for(var e=this,r=function(t){return"fill-extrusion"===e._layers[t].type},n={},i=[],a=this._order.length-1;a>=0;a--){var o=this._order[a];if(r(o)){n[o]=a;for(var s=0,l=t;s=0;d--){var v=this._order[d];if(r(v))for(var g=i.length-1;g>=0;g--){var y=i[g].feature;if(n[y.layer.id] 0.5) {gl_FragColor=vec4(0.0,0.0,1.0,0.5)*alpha;}if (v_notUsed > 0.5) {gl_FragColor*=.1;}}","attribute vec2 a_pos;attribute vec2 a_anchor_pos;attribute vec2 a_extrude;attribute vec2 a_placed;attribute vec2 a_shift;uniform mat4 u_matrix;uniform vec2 u_extrude_scale;uniform float u_camera_to_center_distance;varying float v_placed;varying float v_notUsed;void main() {vec4 projectedPoint=u_matrix*vec4(a_anchor_pos,0,1);highp float camera_to_anchor_distance=projectedPoint.w;highp float collision_perspective_ratio=clamp(0.5+0.5*(u_camera_to_center_distance/camera_to_anchor_distance),0.0,4.0);gl_Position=u_matrix*vec4(a_pos,0.0,1.0);gl_Position.xy+=(a_extrude+a_shift)*u_extrude_scale*gl_Position.w*collision_perspective_ratio;v_placed=a_placed.x;v_notUsed=a_placed.y;}"),nr=_r("varying float v_radius;varying vec2 v_extrude;varying float v_perspective_ratio;varying float v_collision;void main() {float alpha=0.5*min(v_perspective_ratio,1.0);float stroke_radius=0.9*max(v_perspective_ratio,1.0);float distance_to_center=length(v_extrude);float distance_to_edge=abs(distance_to_center-v_radius);float opacity_t=smoothstep(-stroke_radius,0.0,-distance_to_edge);vec4 color=mix(vec4(0.0,0.0,1.0,0.5),vec4(1.0,0.0,0.0,1.0),v_collision);gl_FragColor=color*alpha*opacity_t;}","attribute vec2 a_pos;attribute float a_radius;attribute vec2 a_flags;uniform mat4 u_matrix;uniform mat4 u_inv_matrix;uniform vec2 u_viewport_size;uniform float u_camera_to_center_distance;varying float v_radius;varying vec2 v_extrude;varying float v_perspective_ratio;varying float v_collision;vec3 toTilePosition(vec2 screenPos) {vec4 rayStart=u_inv_matrix*vec4(screenPos,-1.0,1.0);vec4 rayEnd =u_inv_matrix*vec4(screenPos, 1.0,1.0);rayStart.xyz/=rayStart.w;rayEnd.xyz /=rayEnd.w;highp float t=(0.0-rayStart.z)/(rayEnd.z-rayStart.z);return mix(rayStart.xyz,rayEnd.xyz,t);}void main() {vec2 quadCenterPos=a_pos;float radius=a_radius;float collision=a_flags.x;float vertexIdx=a_flags.y;vec2 quadVertexOffset=vec2(mix(-1.0,1.0,float(vertexIdx >=2.0)),mix(-1.0,1.0,float(vertexIdx >=1.0 && vertexIdx <=2.0)));vec2 quadVertexExtent=quadVertexOffset*radius;vec3 tilePos=toTilePosition(quadCenterPos);vec4 clipPos=u_matrix*vec4(tilePos,1.0);highp float camera_to_anchor_distance=clipPos.w;highp float collision_perspective_ratio=clamp(0.5+0.5*(u_camera_to_center_distance/camera_to_anchor_distance),0.0,4.0);float padding_factor=1.2;v_radius=radius;v_extrude=quadVertexExtent*padding_factor;v_perspective_ratio=collision_perspective_ratio;v_collision=collision;gl_Position=vec4(clipPos.xyz/clipPos.w,1.0)+vec4(quadVertexExtent*padding_factor/u_viewport_size*2.0,0.0,0.0);}"),ir=_r("uniform highp vec4 u_color;uniform sampler2D u_overlay;varying vec2 v_uv;void main() {vec4 overlay_color=texture2D(u_overlay,v_uv);gl_FragColor=mix(u_color,overlay_color,overlay_color.a);}","attribute vec2 a_pos;varying vec2 v_uv;uniform mat4 u_matrix;uniform float u_overlay_scale;void main() {v_uv=a_pos/8192.0;gl_Position=u_matrix*vec4(a_pos*u_overlay_scale,0,1);}"),ar=_r("#pragma mapbox: define highp vec4 color\n#pragma mapbox: define lowp float opacity\nvoid main() {\n#pragma mapbox: initialize highp vec4 color\n#pragma mapbox: initialize lowp float opacity\ngl_FragColor=color*opacity;\n#ifdef OVERDRAW_INSPECTOR\ngl_FragColor=vec4(1.0);\n#endif\n}","attribute vec2 a_pos;uniform mat4 u_matrix;\n#pragma mapbox: define highp vec4 color\n#pragma mapbox: define lowp float opacity\nvoid main() {\n#pragma mapbox: initialize highp vec4 color\n#pragma mapbox: initialize lowp float opacity\ngl_Position=u_matrix*vec4(a_pos,0,1);}"),or=_r("varying vec2 v_pos;\n#pragma mapbox: define highp vec4 outline_color\n#pragma mapbox: define lowp float opacity\nvoid main() {\n#pragma mapbox: initialize highp vec4 outline_color\n#pragma mapbox: initialize lowp float opacity\nfloat dist=length(v_pos-gl_FragCoord.xy);float alpha=1.0-smoothstep(0.0,1.0,dist);gl_FragColor=outline_color*(alpha*opacity);\n#ifdef OVERDRAW_INSPECTOR\ngl_FragColor=vec4(1.0);\n#endif\n}","attribute vec2 a_pos;uniform mat4 u_matrix;uniform vec2 u_world;varying vec2 v_pos;\n#pragma mapbox: define highp vec4 outline_color\n#pragma mapbox: define lowp float opacity\nvoid main() {\n#pragma mapbox: initialize highp vec4 outline_color\n#pragma mapbox: initialize lowp float opacity\ngl_Position=u_matrix*vec4(a_pos,0,1);v_pos=(gl_Position.xy/gl_Position.w+1.0)/2.0*u_world;}"),sr=_r("uniform vec2 u_texsize;uniform sampler2D u_image;uniform float u_fade;varying vec2 v_pos_a;varying vec2 v_pos_b;varying vec2 v_pos;\n#pragma mapbox: define lowp float opacity\n#pragma mapbox: define lowp vec4 pattern_from\n#pragma mapbox: define lowp vec4 pattern_to\nvoid main() {\n#pragma mapbox: initialize lowp float opacity\n#pragma mapbox: initialize mediump vec4 pattern_from\n#pragma mapbox: initialize mediump vec4 pattern_to\nvec2 pattern_tl_a=pattern_from.xy;vec2 pattern_br_a=pattern_from.zw;vec2 pattern_tl_b=pattern_to.xy;vec2 pattern_br_b=pattern_to.zw;vec2 imagecoord=mod(v_pos_a,1.0);vec2 pos=mix(pattern_tl_a/u_texsize,pattern_br_a/u_texsize,imagecoord);vec4 color1=texture2D(u_image,pos);vec2 imagecoord_b=mod(v_pos_b,1.0);vec2 pos2=mix(pattern_tl_b/u_texsize,pattern_br_b/u_texsize,imagecoord_b);vec4 color2=texture2D(u_image,pos2);float dist=length(v_pos-gl_FragCoord.xy);float alpha=1.0-smoothstep(0.0,1.0,dist);gl_FragColor=mix(color1,color2,u_fade)*alpha*opacity;\n#ifdef OVERDRAW_INSPECTOR\ngl_FragColor=vec4(1.0);\n#endif\n}","uniform mat4 u_matrix;uniform vec2 u_world;uniform vec2 u_pixel_coord_upper;uniform vec2 u_pixel_coord_lower;uniform vec3 u_scale;attribute vec2 a_pos;varying vec2 v_pos_a;varying vec2 v_pos_b;varying vec2 v_pos;\n#pragma mapbox: define lowp float opacity\n#pragma mapbox: define lowp vec4 pattern_from\n#pragma mapbox: define lowp vec4 pattern_to\n#pragma mapbox: define lowp float pixel_ratio_from\n#pragma mapbox: define lowp float pixel_ratio_to\nvoid main() {\n#pragma mapbox: initialize lowp float opacity\n#pragma mapbox: initialize mediump vec4 pattern_from\n#pragma mapbox: initialize mediump vec4 pattern_to\n#pragma mapbox: initialize lowp float pixel_ratio_from\n#pragma mapbox: initialize lowp float pixel_ratio_to\nvec2 pattern_tl_a=pattern_from.xy;vec2 pattern_br_a=pattern_from.zw;vec2 pattern_tl_b=pattern_to.xy;vec2 pattern_br_b=pattern_to.zw;float tileRatio=u_scale.x;float fromScale=u_scale.y;float toScale=u_scale.z;gl_Position=u_matrix*vec4(a_pos,0,1);vec2 display_size_a=(pattern_br_a-pattern_tl_a)/pixel_ratio_from;vec2 display_size_b=(pattern_br_b-pattern_tl_b)/pixel_ratio_to;v_pos_a=get_pattern_pos(u_pixel_coord_upper,u_pixel_coord_lower,fromScale*display_size_a,tileRatio,a_pos);v_pos_b=get_pattern_pos(u_pixel_coord_upper,u_pixel_coord_lower,toScale*display_size_b,tileRatio,a_pos);v_pos=(gl_Position.xy/gl_Position.w+1.0)/2.0*u_world;}"),lr=_r("uniform vec2 u_texsize;uniform float u_fade;uniform sampler2D u_image;varying vec2 v_pos_a;varying vec2 v_pos_b;\n#pragma mapbox: define lowp float opacity\n#pragma mapbox: define lowp vec4 pattern_from\n#pragma mapbox: define lowp vec4 pattern_to\nvoid main() {\n#pragma mapbox: initialize lowp float opacity\n#pragma mapbox: initialize mediump vec4 pattern_from\n#pragma mapbox: initialize mediump vec4 pattern_to\nvec2 pattern_tl_a=pattern_from.xy;vec2 pattern_br_a=pattern_from.zw;vec2 pattern_tl_b=pattern_to.xy;vec2 pattern_br_b=pattern_to.zw;vec2 imagecoord=mod(v_pos_a,1.0);vec2 pos=mix(pattern_tl_a/u_texsize,pattern_br_a/u_texsize,imagecoord);vec4 color1=texture2D(u_image,pos);vec2 imagecoord_b=mod(v_pos_b,1.0);vec2 pos2=mix(pattern_tl_b/u_texsize,pattern_br_b/u_texsize,imagecoord_b);vec4 color2=texture2D(u_image,pos2);gl_FragColor=mix(color1,color2,u_fade)*opacity;\n#ifdef OVERDRAW_INSPECTOR\ngl_FragColor=vec4(1.0);\n#endif\n}","uniform mat4 u_matrix;uniform vec2 u_pixel_coord_upper;uniform vec2 u_pixel_coord_lower;uniform vec3 u_scale;attribute vec2 a_pos;varying vec2 v_pos_a;varying vec2 v_pos_b;\n#pragma mapbox: define lowp float opacity\n#pragma mapbox: define lowp vec4 pattern_from\n#pragma mapbox: define lowp vec4 pattern_to\n#pragma mapbox: define lowp float pixel_ratio_from\n#pragma mapbox: define lowp float pixel_ratio_to\nvoid main() {\n#pragma mapbox: initialize lowp float opacity\n#pragma mapbox: initialize mediump vec4 pattern_from\n#pragma mapbox: initialize mediump vec4 pattern_to\n#pragma mapbox: initialize lowp float pixel_ratio_from\n#pragma mapbox: initialize lowp float pixel_ratio_to\nvec2 pattern_tl_a=pattern_from.xy;vec2 pattern_br_a=pattern_from.zw;vec2 pattern_tl_b=pattern_to.xy;vec2 pattern_br_b=pattern_to.zw;float tileZoomRatio=u_scale.x;float fromScale=u_scale.y;float toScale=u_scale.z;vec2 display_size_a=(pattern_br_a-pattern_tl_a)/pixel_ratio_from;vec2 display_size_b=(pattern_br_b-pattern_tl_b)/pixel_ratio_to;gl_Position=u_matrix*vec4(a_pos,0,1);v_pos_a=get_pattern_pos(u_pixel_coord_upper,u_pixel_coord_lower,fromScale*display_size_a,tileZoomRatio,a_pos);v_pos_b=get_pattern_pos(u_pixel_coord_upper,u_pixel_coord_lower,toScale*display_size_b,tileZoomRatio,a_pos);}"),ur=_r("varying vec4 v_color;void main() {gl_FragColor=v_color;\n#ifdef OVERDRAW_INSPECTOR\ngl_FragColor=vec4(1.0);\n#endif\n}","uniform mat4 u_matrix;uniform vec3 u_lightcolor;uniform lowp vec3 u_lightpos;uniform lowp float u_lightintensity;uniform float u_vertical_gradient;uniform lowp float u_opacity;attribute vec2 a_pos;attribute vec4 a_normal_ed;varying vec4 v_color;\n#pragma mapbox: define highp float base\n#pragma mapbox: define highp float height\n#pragma mapbox: define highp vec4 color\nvoid main() {\n#pragma mapbox: initialize highp float base\n#pragma mapbox: initialize highp float height\n#pragma mapbox: initialize highp vec4 color\nvec3 normal=a_normal_ed.xyz;base=max(0.0,base);height=max(0.0,height);float t=mod(normal.x,2.0);gl_Position=u_matrix*vec4(a_pos,t > 0.0 ? height : base,1);float colorvalue=color.r*0.2126+color.g*0.7152+color.b*0.0722;v_color=vec4(0.0,0.0,0.0,1.0);vec4 ambientlight=vec4(0.03,0.03,0.03,1.0);color+=ambientlight;float directional=clamp(dot(normal/16384.0,u_lightpos),0.0,1.0);directional=mix((1.0-u_lightintensity),max((1.0-colorvalue+u_lightintensity),1.0),directional);if (normal.y !=0.0) {directional*=((1.0-u_vertical_gradient)+(u_vertical_gradient*clamp((t+base)*pow(height/150.0,0.5),mix(0.7,0.98,1.0-u_lightintensity),1.0)));}v_color.r+=clamp(color.r*directional*u_lightcolor.r,mix(0.0,0.3,1.0-u_lightcolor.r),1.0);v_color.g+=clamp(color.g*directional*u_lightcolor.g,mix(0.0,0.3,1.0-u_lightcolor.g),1.0);v_color.b+=clamp(color.b*directional*u_lightcolor.b,mix(0.0,0.3,1.0-u_lightcolor.b),1.0);v_color*=u_opacity;}"),cr=_r("uniform vec2 u_texsize;uniform float u_fade;uniform sampler2D u_image;varying vec2 v_pos_a;varying vec2 v_pos_b;varying vec4 v_lighting;\n#pragma mapbox: define lowp float base\n#pragma mapbox: define lowp float height\n#pragma mapbox: define lowp vec4 pattern_from\n#pragma mapbox: define lowp vec4 pattern_to\n#pragma mapbox: define lowp float pixel_ratio_from\n#pragma mapbox: define lowp float pixel_ratio_to\nvoid main() {\n#pragma mapbox: initialize lowp float base\n#pragma mapbox: initialize lowp float height\n#pragma mapbox: initialize mediump vec4 pattern_from\n#pragma mapbox: initialize mediump vec4 pattern_to\n#pragma mapbox: initialize lowp float pixel_ratio_from\n#pragma mapbox: initialize lowp float pixel_ratio_to\nvec2 pattern_tl_a=pattern_from.xy;vec2 pattern_br_a=pattern_from.zw;vec2 pattern_tl_b=pattern_to.xy;vec2 pattern_br_b=pattern_to.zw;vec2 imagecoord=mod(v_pos_a,1.0);vec2 pos=mix(pattern_tl_a/u_texsize,pattern_br_a/u_texsize,imagecoord);vec4 color1=texture2D(u_image,pos);vec2 imagecoord_b=mod(v_pos_b,1.0);vec2 pos2=mix(pattern_tl_b/u_texsize,pattern_br_b/u_texsize,imagecoord_b);vec4 color2=texture2D(u_image,pos2);vec4 mixedColor=mix(color1,color2,u_fade);gl_FragColor=mixedColor*v_lighting;\n#ifdef OVERDRAW_INSPECTOR\ngl_FragColor=vec4(1.0);\n#endif\n}","uniform mat4 u_matrix;uniform vec2 u_pixel_coord_upper;uniform vec2 u_pixel_coord_lower;uniform float u_height_factor;uniform vec3 u_scale;uniform float u_vertical_gradient;uniform lowp float u_opacity;uniform vec3 u_lightcolor;uniform lowp vec3 u_lightpos;uniform lowp float u_lightintensity;attribute vec2 a_pos;attribute vec4 a_normal_ed;varying vec2 v_pos_a;varying vec2 v_pos_b;varying vec4 v_lighting;\n#pragma mapbox: define lowp float base\n#pragma mapbox: define lowp float height\n#pragma mapbox: define lowp vec4 pattern_from\n#pragma mapbox: define lowp vec4 pattern_to\n#pragma mapbox: define lowp float pixel_ratio_from\n#pragma mapbox: define lowp float pixel_ratio_to\nvoid main() {\n#pragma mapbox: initialize lowp float base\n#pragma mapbox: initialize lowp float height\n#pragma mapbox: initialize mediump vec4 pattern_from\n#pragma mapbox: initialize mediump vec4 pattern_to\n#pragma mapbox: initialize lowp float pixel_ratio_from\n#pragma mapbox: initialize lowp float pixel_ratio_to\nvec2 pattern_tl_a=pattern_from.xy;vec2 pattern_br_a=pattern_from.zw;vec2 pattern_tl_b=pattern_to.xy;vec2 pattern_br_b=pattern_to.zw;float tileRatio=u_scale.x;float fromScale=u_scale.y;float toScale=u_scale.z;vec3 normal=a_normal_ed.xyz;float edgedistance=a_normal_ed.w;vec2 display_size_a=(pattern_br_a-pattern_tl_a)/pixel_ratio_from;vec2 display_size_b=(pattern_br_b-pattern_tl_b)/pixel_ratio_to;base=max(0.0,base);height=max(0.0,height);float t=mod(normal.x,2.0);float z=t > 0.0 ? height : base;gl_Position=u_matrix*vec4(a_pos,z,1);vec2 pos=normal.x==1.0 && normal.y==0.0 && normal.z==16384.0\n? a_pos\n: vec2(edgedistance,z*u_height_factor);v_pos_a=get_pattern_pos(u_pixel_coord_upper,u_pixel_coord_lower,fromScale*display_size_a,tileRatio,pos);v_pos_b=get_pattern_pos(u_pixel_coord_upper,u_pixel_coord_lower,toScale*display_size_b,tileRatio,pos);v_lighting=vec4(0.0,0.0,0.0,1.0);float directional=clamp(dot(normal/16383.0,u_lightpos),0.0,1.0);directional=mix((1.0-u_lightintensity),max((0.5+u_lightintensity),1.0),directional);if (normal.y !=0.0) {directional*=((1.0-u_vertical_gradient)+(u_vertical_gradient*clamp((t+base)*pow(height/150.0,0.5),mix(0.7,0.98,1.0-u_lightintensity),1.0)));}v_lighting.rgb+=clamp(directional*u_lightcolor,mix(vec3(0.0),vec3(0.3),1.0-u_lightcolor),vec3(1.0));v_lighting*=u_opacity;}"),fr=_r("#ifdef GL_ES\nprecision highp float;\n#endif\nuniform sampler2D u_image;varying vec2 v_pos;uniform vec2 u_dimension;uniform float u_zoom;uniform vec4 u_unpack;float getElevation(vec2 coord,float bias) {vec4 data=texture2D(u_image,coord)*255.0;data.a=-1.0;return dot(data,u_unpack)/4.0;}void main() {vec2 epsilon=1.0/u_dimension;float a=getElevation(v_pos+vec2(-epsilon.x,-epsilon.y),0.0);float b=getElevation(v_pos+vec2(0,-epsilon.y),0.0);float c=getElevation(v_pos+vec2(epsilon.x,-epsilon.y),0.0);float d=getElevation(v_pos+vec2(-epsilon.x,0),0.0);float e=getElevation(v_pos,0.0);float f=getElevation(v_pos+vec2(epsilon.x,0),0.0);float g=getElevation(v_pos+vec2(-epsilon.x,epsilon.y),0.0);float h=getElevation(v_pos+vec2(0,epsilon.y),0.0);float i=getElevation(v_pos+vec2(epsilon.x,epsilon.y),0.0);float exaggerationFactor=u_zoom < 2.0 ? 0.4 : u_zoom < 4.5 ? 0.35 : 0.3;float exaggeration=u_zoom < 15.0 ? (u_zoom-15.0)*exaggerationFactor : 0.0;vec2 deriv=vec2((c+f+f+i)-(a+d+d+g),(g+h+h+i)-(a+b+b+c))/pow(2.0,exaggeration+(19.2562-u_zoom));gl_FragColor=clamp(vec4(deriv.x/2.0+0.5,deriv.y/2.0+0.5,1.0,1.0),0.0,1.0);\n#ifdef OVERDRAW_INSPECTOR\ngl_FragColor=vec4(1.0);\n#endif\n}","uniform mat4 u_matrix;uniform vec2 u_dimension;attribute vec2 a_pos;attribute vec2 a_texture_pos;varying vec2 v_pos;void main() {gl_Position=u_matrix*vec4(a_pos,0,1);highp vec2 epsilon=1.0/u_dimension;float scale=(u_dimension.x-2.0)/u_dimension.x;v_pos=(a_texture_pos/8192.0)*scale+epsilon;}"),hr=_r("uniform sampler2D u_image;varying vec2 v_pos;uniform vec2 u_latrange;uniform vec2 u_light;uniform vec4 u_shadow;uniform vec4 u_highlight;uniform vec4 u_accent;\n#define PI 3.141592653589793\nvoid main() {vec4 pixel=texture2D(u_image,v_pos);vec2 deriv=((pixel.rg*2.0)-1.0);float scaleFactor=cos(radians((u_latrange[0]-u_latrange[1])*(1.0-v_pos.y)+u_latrange[1]));float slope=atan(1.25*length(deriv)/scaleFactor);float aspect=deriv.x !=0.0 ? atan(deriv.y,-deriv.x) : PI/2.0*(deriv.y > 0.0 ? 1.0 :-1.0);float intensity=u_light.x;float azimuth=u_light.y+PI;float base=1.875-intensity*1.75;float maxValue=0.5*PI;float scaledSlope=intensity !=0.5 ? ((pow(base,slope)-1.0)/(pow(base,maxValue)-1.0))*maxValue : slope;float accent=cos(scaledSlope);vec4 accent_color=(1.0-accent)*u_accent*clamp(intensity*2.0,0.0,1.0);float shade=abs(mod((aspect+azimuth)/PI+0.5,2.0)-1.0);vec4 shade_color=mix(u_shadow,u_highlight,shade)*sin(scaledSlope)*clamp(intensity*2.0,0.0,1.0);gl_FragColor=accent_color*(1.0-shade_color.a)+shade_color;\n#ifdef OVERDRAW_INSPECTOR\ngl_FragColor=vec4(1.0);\n#endif\n}","uniform mat4 u_matrix;attribute vec2 a_pos;attribute vec2 a_texture_pos;varying vec2 v_pos;void main() {gl_Position=u_matrix*vec4(a_pos,0,1);v_pos=a_texture_pos/8192.0;}"),pr=_r("uniform lowp float u_device_pixel_ratio;varying vec2 v_width2;varying vec2 v_normal;varying float v_gamma_scale;\n#pragma mapbox: define highp vec4 color\n#pragma mapbox: define lowp float blur\n#pragma mapbox: define lowp float opacity\nvoid main() {\n#pragma mapbox: initialize highp vec4 color\n#pragma mapbox: initialize lowp float blur\n#pragma mapbox: initialize lowp float opacity\nfloat dist=length(v_normal)*v_width2.s;float blur2=(blur+1.0/u_device_pixel_ratio)*v_gamma_scale;float alpha=clamp(min(dist-(v_width2.t-blur2),v_width2.s-dist)/blur2,0.0,1.0);gl_FragColor=color*(alpha*opacity);\n#ifdef OVERDRAW_INSPECTOR\ngl_FragColor=vec4(1.0);\n#endif\n}","\n#define scale 0.015873016\nattribute vec2 a_pos_normal;attribute vec4 a_data;uniform mat4 u_matrix;uniform mediump float u_ratio;uniform vec2 u_units_to_pixels;uniform lowp float u_device_pixel_ratio;varying vec2 v_normal;varying vec2 v_width2;varying float v_gamma_scale;varying highp float v_linesofar;\n#pragma mapbox: define highp vec4 color\n#pragma mapbox: define lowp float blur\n#pragma mapbox: define lowp float opacity\n#pragma mapbox: define mediump float gapwidth\n#pragma mapbox: define lowp float offset\n#pragma mapbox: define mediump float width\nvoid main() {\n#pragma mapbox: initialize highp vec4 color\n#pragma mapbox: initialize lowp float blur\n#pragma mapbox: initialize lowp float opacity\n#pragma mapbox: initialize mediump float gapwidth\n#pragma mapbox: initialize lowp float offset\n#pragma mapbox: initialize mediump float width\nfloat ANTIALIASING=1.0/u_device_pixel_ratio/2.0;vec2 a_extrude=a_data.xy-128.0;float a_direction=mod(a_data.z,4.0)-1.0;v_linesofar=(floor(a_data.z/4.0)+a_data.w*64.0)*2.0;vec2 pos=floor(a_pos_normal*0.5);mediump vec2 normal=a_pos_normal-2.0*pos;normal.y=normal.y*2.0-1.0;v_normal=normal;gapwidth=gapwidth/2.0;float halfwidth=width/2.0;offset=-1.0*offset;float inset=gapwidth+(gapwidth > 0.0 ? ANTIALIASING : 0.0);float outset=gapwidth+halfwidth*(gapwidth > 0.0 ? 2.0 : 1.0)+(halfwidth==0.0 ? 0.0 : ANTIALIASING);mediump vec2 dist=outset*a_extrude*scale;mediump float u=0.5*a_direction;mediump float t=1.0-abs(u);mediump vec2 offset2=offset*a_extrude*scale*normal.y*mat2(t,-u,u,t);vec4 projected_extrude=u_matrix*vec4(dist/u_ratio,0.0,0.0);gl_Position=u_matrix*vec4(pos+offset2/u_ratio,0.0,1.0)+projected_extrude;float extrude_length_without_perspective=length(dist);float extrude_length_with_perspective=length(projected_extrude.xy/gl_Position.w*u_units_to_pixels);v_gamma_scale=extrude_length_without_perspective/extrude_length_with_perspective;v_width2=vec2(outset,inset);}"),dr=_r("uniform lowp float u_device_pixel_ratio;uniform sampler2D u_image;varying vec2 v_width2;varying vec2 v_normal;varying float v_gamma_scale;varying highp vec2 v_uv;\n#pragma mapbox: define lowp float blur\n#pragma mapbox: define lowp float opacity\nvoid main() {\n#pragma mapbox: initialize lowp float blur\n#pragma mapbox: initialize lowp float opacity\nfloat dist=length(v_normal)*v_width2.s;float blur2=(blur+1.0/u_device_pixel_ratio)*v_gamma_scale;float alpha=clamp(min(dist-(v_width2.t-blur2),v_width2.s-dist)/blur2,0.0,1.0);vec4 color=texture2D(u_image,v_uv);gl_FragColor=color*(alpha*opacity);\n#ifdef OVERDRAW_INSPECTOR\ngl_FragColor=vec4(1.0);\n#endif\n}","\n#define scale 0.015873016\nattribute vec2 a_pos_normal;attribute vec4 a_data;attribute float a_uv_x;attribute float a_split_index;uniform mat4 u_matrix;uniform mediump float u_ratio;uniform lowp float u_device_pixel_ratio;uniform vec2 u_units_to_pixels;uniform float u_image_height;varying vec2 v_normal;varying vec2 v_width2;varying float v_gamma_scale;varying highp vec2 v_uv;\n#pragma mapbox: define lowp float blur\n#pragma mapbox: define lowp float opacity\n#pragma mapbox: define mediump float gapwidth\n#pragma mapbox: define lowp float offset\n#pragma mapbox: define mediump float width\nvoid main() {\n#pragma mapbox: initialize lowp float blur\n#pragma mapbox: initialize lowp float opacity\n#pragma mapbox: initialize mediump float gapwidth\n#pragma mapbox: initialize lowp float offset\n#pragma mapbox: initialize mediump float width\nfloat ANTIALIASING=1.0/u_device_pixel_ratio/2.0;vec2 a_extrude=a_data.xy-128.0;float a_direction=mod(a_data.z,4.0)-1.0;highp float texel_height=1.0/u_image_height;highp float half_texel_height=0.5*texel_height;v_uv=vec2(a_uv_x,a_split_index*texel_height-half_texel_height);vec2 pos=floor(a_pos_normal*0.5);mediump vec2 normal=a_pos_normal-2.0*pos;normal.y=normal.y*2.0-1.0;v_normal=normal;gapwidth=gapwidth/2.0;float halfwidth=width/2.0;offset=-1.0*offset;float inset=gapwidth+(gapwidth > 0.0 ? ANTIALIASING : 0.0);float outset=gapwidth+halfwidth*(gapwidth > 0.0 ? 2.0 : 1.0)+(halfwidth==0.0 ? 0.0 : ANTIALIASING);mediump vec2 dist=outset*a_extrude*scale;mediump float u=0.5*a_direction;mediump float t=1.0-abs(u);mediump vec2 offset2=offset*a_extrude*scale*normal.y*mat2(t,-u,u,t);vec4 projected_extrude=u_matrix*vec4(dist/u_ratio,0.0,0.0);gl_Position=u_matrix*vec4(pos+offset2/u_ratio,0.0,1.0)+projected_extrude;float extrude_length_without_perspective=length(dist);float extrude_length_with_perspective=length(projected_extrude.xy/gl_Position.w*u_units_to_pixels);v_gamma_scale=extrude_length_without_perspective/extrude_length_with_perspective;v_width2=vec2(outset,inset);}"),vr=_r("uniform lowp float u_device_pixel_ratio;uniform vec2 u_texsize;uniform float u_fade;uniform mediump vec3 u_scale;uniform sampler2D u_image;varying vec2 v_normal;varying vec2 v_width2;varying float v_linesofar;varying float v_gamma_scale;varying float v_width;\n#pragma mapbox: define lowp vec4 pattern_from\n#pragma mapbox: define lowp vec4 pattern_to\n#pragma mapbox: define lowp float pixel_ratio_from\n#pragma mapbox: define lowp float pixel_ratio_to\n#pragma mapbox: define lowp float blur\n#pragma mapbox: define lowp float opacity\nvoid main() {\n#pragma mapbox: initialize mediump vec4 pattern_from\n#pragma mapbox: initialize mediump vec4 pattern_to\n#pragma mapbox: initialize lowp float pixel_ratio_from\n#pragma mapbox: initialize lowp float pixel_ratio_to\n#pragma mapbox: initialize lowp float blur\n#pragma mapbox: initialize lowp float opacity\nvec2 pattern_tl_a=pattern_from.xy;vec2 pattern_br_a=pattern_from.zw;vec2 pattern_tl_b=pattern_to.xy;vec2 pattern_br_b=pattern_to.zw;float tileZoomRatio=u_scale.x;float fromScale=u_scale.y;float toScale=u_scale.z;vec2 display_size_a=(pattern_br_a-pattern_tl_a)/pixel_ratio_from;vec2 display_size_b=(pattern_br_b-pattern_tl_b)/pixel_ratio_to;vec2 pattern_size_a=vec2(display_size_a.x*fromScale/tileZoomRatio,display_size_a.y);vec2 pattern_size_b=vec2(display_size_b.x*toScale/tileZoomRatio,display_size_b.y);float aspect_a=display_size_a.y/v_width;float aspect_b=display_size_b.y/v_width;float dist=length(v_normal)*v_width2.s;float blur2=(blur+1.0/u_device_pixel_ratio)*v_gamma_scale;float alpha=clamp(min(dist-(v_width2.t-blur2),v_width2.s-dist)/blur2,0.0,1.0);float x_a=mod(v_linesofar/pattern_size_a.x*aspect_a,1.0);float x_b=mod(v_linesofar/pattern_size_b.x*aspect_b,1.0);float y=0.5*v_normal.y+0.5;vec2 texel_size=1.0/u_texsize;vec2 pos_a=mix(pattern_tl_a*texel_size-texel_size,pattern_br_a*texel_size+texel_size,vec2(x_a,y));vec2 pos_b=mix(pattern_tl_b*texel_size-texel_size,pattern_br_b*texel_size+texel_size,vec2(x_b,y));vec4 color=mix(texture2D(u_image,pos_a),texture2D(u_image,pos_b),u_fade);gl_FragColor=color*alpha*opacity;\n#ifdef OVERDRAW_INSPECTOR\ngl_FragColor=vec4(1.0);\n#endif\n}","\n#define scale 0.015873016\n#define LINE_DISTANCE_SCALE 2.0\nattribute vec2 a_pos_normal;attribute vec4 a_data;uniform mat4 u_matrix;uniform vec2 u_units_to_pixels;uniform mediump float u_ratio;uniform lowp float u_device_pixel_ratio;varying vec2 v_normal;varying vec2 v_width2;varying float v_linesofar;varying float v_gamma_scale;varying float v_width;\n#pragma mapbox: define lowp float blur\n#pragma mapbox: define lowp float opacity\n#pragma mapbox: define lowp float offset\n#pragma mapbox: define mediump float gapwidth\n#pragma mapbox: define mediump float width\n#pragma mapbox: define lowp float floorwidth\n#pragma mapbox: define lowp vec4 pattern_from\n#pragma mapbox: define lowp vec4 pattern_to\n#pragma mapbox: define lowp float pixel_ratio_from\n#pragma mapbox: define lowp float pixel_ratio_to\nvoid main() {\n#pragma mapbox: initialize lowp float blur\n#pragma mapbox: initialize lowp float opacity\n#pragma mapbox: initialize lowp float offset\n#pragma mapbox: initialize mediump float gapwidth\n#pragma mapbox: initialize mediump float width\n#pragma mapbox: initialize lowp float floorwidth\n#pragma mapbox: initialize mediump vec4 pattern_from\n#pragma mapbox: initialize mediump vec4 pattern_to\n#pragma mapbox: initialize lowp float pixel_ratio_from\n#pragma mapbox: initialize lowp float pixel_ratio_to\nfloat ANTIALIASING=1.0/u_device_pixel_ratio/2.0;vec2 a_extrude=a_data.xy-128.0;float a_direction=mod(a_data.z,4.0)-1.0;float a_linesofar=(floor(a_data.z/4.0)+a_data.w*64.0)*LINE_DISTANCE_SCALE;vec2 pos=floor(a_pos_normal*0.5);mediump vec2 normal=a_pos_normal-2.0*pos;normal.y=normal.y*2.0-1.0;v_normal=normal;gapwidth=gapwidth/2.0;float halfwidth=width/2.0;offset=-1.0*offset;float inset=gapwidth+(gapwidth > 0.0 ? ANTIALIASING : 0.0);float outset=gapwidth+halfwidth*(gapwidth > 0.0 ? 2.0 : 1.0)+(halfwidth==0.0 ? 0.0 : ANTIALIASING);mediump vec2 dist=outset*a_extrude*scale;mediump float u=0.5*a_direction;mediump float t=1.0-abs(u);mediump vec2 offset2=offset*a_extrude*scale*normal.y*mat2(t,-u,u,t);vec4 projected_extrude=u_matrix*vec4(dist/u_ratio,0.0,0.0);gl_Position=u_matrix*vec4(pos+offset2/u_ratio,0.0,1.0)+projected_extrude;float extrude_length_without_perspective=length(dist);float extrude_length_with_perspective=length(projected_extrude.xy/gl_Position.w*u_units_to_pixels);v_gamma_scale=extrude_length_without_perspective/extrude_length_with_perspective;v_linesofar=a_linesofar;v_width2=vec2(outset,inset);v_width=floorwidth;}"),gr=_r("uniform lowp float u_device_pixel_ratio;uniform sampler2D u_image;uniform float u_sdfgamma;uniform float u_mix;varying vec2 v_normal;varying vec2 v_width2;varying vec2 v_tex_a;varying vec2 v_tex_b;varying float v_gamma_scale;\n#pragma mapbox: define highp vec4 color\n#pragma mapbox: define lowp float blur\n#pragma mapbox: define lowp float opacity\n#pragma mapbox: define mediump float width\n#pragma mapbox: define lowp float floorwidth\nvoid main() {\n#pragma mapbox: initialize highp vec4 color\n#pragma mapbox: initialize lowp float blur\n#pragma mapbox: initialize lowp float opacity\n#pragma mapbox: initialize mediump float width\n#pragma mapbox: initialize lowp float floorwidth\nfloat dist=length(v_normal)*v_width2.s;float blur2=(blur+1.0/u_device_pixel_ratio)*v_gamma_scale;float alpha=clamp(min(dist-(v_width2.t-blur2),v_width2.s-dist)/blur2,0.0,1.0);float sdfdist_a=texture2D(u_image,v_tex_a).a;float sdfdist_b=texture2D(u_image,v_tex_b).a;float sdfdist=mix(sdfdist_a,sdfdist_b,u_mix);alpha*=smoothstep(0.5-u_sdfgamma/floorwidth,0.5+u_sdfgamma/floorwidth,sdfdist);gl_FragColor=color*(alpha*opacity);\n#ifdef OVERDRAW_INSPECTOR\ngl_FragColor=vec4(1.0);\n#endif\n}","\n#define scale 0.015873016\n#define LINE_DISTANCE_SCALE 2.0\nattribute vec2 a_pos_normal;attribute vec4 a_data;uniform mat4 u_matrix;uniform mediump float u_ratio;uniform lowp float u_device_pixel_ratio;uniform vec2 u_patternscale_a;uniform float u_tex_y_a;uniform vec2 u_patternscale_b;uniform float u_tex_y_b;uniform vec2 u_units_to_pixels;varying vec2 v_normal;varying vec2 v_width2;varying vec2 v_tex_a;varying vec2 v_tex_b;varying float v_gamma_scale;\n#pragma mapbox: define highp vec4 color\n#pragma mapbox: define lowp float blur\n#pragma mapbox: define lowp float opacity\n#pragma mapbox: define mediump float gapwidth\n#pragma mapbox: define lowp float offset\n#pragma mapbox: define mediump float width\n#pragma mapbox: define lowp float floorwidth\nvoid main() {\n#pragma mapbox: initialize highp vec4 color\n#pragma mapbox: initialize lowp float blur\n#pragma mapbox: initialize lowp float opacity\n#pragma mapbox: initialize mediump float gapwidth\n#pragma mapbox: initialize lowp float offset\n#pragma mapbox: initialize mediump float width\n#pragma mapbox: initialize lowp float floorwidth\nfloat ANTIALIASING=1.0/u_device_pixel_ratio/2.0;vec2 a_extrude=a_data.xy-128.0;float a_direction=mod(a_data.z,4.0)-1.0;float a_linesofar=(floor(a_data.z/4.0)+a_data.w*64.0)*LINE_DISTANCE_SCALE;vec2 pos=floor(a_pos_normal*0.5);mediump vec2 normal=a_pos_normal-2.0*pos;normal.y=normal.y*2.0-1.0;v_normal=normal;gapwidth=gapwidth/2.0;float halfwidth=width/2.0;offset=-1.0*offset;float inset=gapwidth+(gapwidth > 0.0 ? ANTIALIASING : 0.0);float outset=gapwidth+halfwidth*(gapwidth > 0.0 ? 2.0 : 1.0)+(halfwidth==0.0 ? 0.0 : ANTIALIASING);mediump vec2 dist=outset*a_extrude*scale;mediump float u=0.5*a_direction;mediump float t=1.0-abs(u);mediump vec2 offset2=offset*a_extrude*scale*normal.y*mat2(t,-u,u,t);vec4 projected_extrude=u_matrix*vec4(dist/u_ratio,0.0,0.0);gl_Position=u_matrix*vec4(pos+offset2/u_ratio,0.0,1.0)+projected_extrude;float extrude_length_without_perspective=length(dist);float extrude_length_with_perspective=length(projected_extrude.xy/gl_Position.w*u_units_to_pixels);v_gamma_scale=extrude_length_without_perspective/extrude_length_with_perspective;v_tex_a=vec2(a_linesofar*u_patternscale_a.x/floorwidth,normal.y*u_patternscale_a.y+u_tex_y_a);v_tex_b=vec2(a_linesofar*u_patternscale_b.x/floorwidth,normal.y*u_patternscale_b.y+u_tex_y_b);v_width2=vec2(outset,inset);}"),yr=_r("uniform float u_fade_t;uniform float u_opacity;uniform sampler2D u_image0;uniform sampler2D u_image1;varying vec2 v_pos0;varying vec2 v_pos1;uniform float u_brightness_low;uniform float u_brightness_high;uniform float u_saturation_factor;uniform float u_contrast_factor;uniform vec3 u_spin_weights;void main() {vec4 color0=texture2D(u_image0,v_pos0);vec4 color1=texture2D(u_image1,v_pos1);if (color0.a > 0.0) {color0.rgb=color0.rgb/color0.a;}if (color1.a > 0.0) {color1.rgb=color1.rgb/color1.a;}vec4 color=mix(color0,color1,u_fade_t);color.a*=u_opacity;vec3 rgb=color.rgb;rgb=vec3(dot(rgb,u_spin_weights.xyz),dot(rgb,u_spin_weights.zxy),dot(rgb,u_spin_weights.yzx));float average=(color.r+color.g+color.b)/3.0;rgb+=(average-rgb)*u_saturation_factor;rgb=(rgb-0.5)*u_contrast_factor+0.5;vec3 u_high_vec=vec3(u_brightness_low,u_brightness_low,u_brightness_low);vec3 u_low_vec=vec3(u_brightness_high,u_brightness_high,u_brightness_high);gl_FragColor=vec4(mix(u_high_vec,u_low_vec,rgb)*color.a,color.a);\n#ifdef OVERDRAW_INSPECTOR\ngl_FragColor=vec4(1.0);\n#endif\n}","uniform mat4 u_matrix;uniform vec2 u_tl_parent;uniform float u_scale_parent;uniform float u_buffer_scale;attribute vec2 a_pos;attribute vec2 a_texture_pos;varying vec2 v_pos0;varying vec2 v_pos1;void main() {gl_Position=u_matrix*vec4(a_pos,0,1);v_pos0=(((a_texture_pos/8192.0)-0.5)/u_buffer_scale )+0.5;v_pos1=(v_pos0*u_scale_parent)+u_tl_parent;}"),mr=_r("uniform sampler2D u_texture;varying vec2 v_tex;varying float v_fade_opacity;\n#pragma mapbox: define lowp float opacity\nvoid main() {\n#pragma mapbox: initialize lowp float opacity\nlowp float alpha=opacity*v_fade_opacity;gl_FragColor=texture2D(u_texture,v_tex)*alpha;\n#ifdef OVERDRAW_INSPECTOR\ngl_FragColor=vec4(1.0);\n#endif\n}","const float PI=3.141592653589793;attribute vec4 a_pos_offset;attribute vec4 a_data;attribute vec4 a_pixeloffset;attribute vec3 a_projected_pos;attribute float a_fade_opacity;uniform bool u_is_size_zoom_constant;uniform bool u_is_size_feature_constant;uniform highp float u_size_t;uniform highp float u_size;uniform highp float u_camera_to_center_distance;uniform highp float u_pitch;uniform bool u_rotate_symbol;uniform highp float u_aspect_ratio;uniform float u_fade_change;uniform mat4 u_matrix;uniform mat4 u_label_plane_matrix;uniform mat4 u_coord_matrix;uniform bool u_is_text;uniform bool u_pitch_with_map;uniform vec2 u_texsize;varying vec2 v_tex;varying float v_fade_opacity;\n#pragma mapbox: define lowp float opacity\nvoid main() {\n#pragma mapbox: initialize lowp float opacity\nvec2 a_pos=a_pos_offset.xy;vec2 a_offset=a_pos_offset.zw;vec2 a_tex=a_data.xy;vec2 a_size=a_data.zw;float a_size_min=floor(a_size[0]*0.5);vec2 a_pxoffset=a_pixeloffset.xy;vec2 a_minFontScale=a_pixeloffset.zw/256.0;highp float segment_angle=-a_projected_pos[2];float size;if (!u_is_size_zoom_constant && !u_is_size_feature_constant) {size=mix(a_size_min,a_size[1],u_size_t)/128.0;} else if (u_is_size_zoom_constant && !u_is_size_feature_constant) {size=a_size_min/128.0;} else {size=u_size;}vec4 projectedPoint=u_matrix*vec4(a_pos,0,1);highp float camera_to_anchor_distance=projectedPoint.w;highp float distance_ratio=u_pitch_with_map ?\ncamera_to_anchor_distance/u_camera_to_center_distance :\nu_camera_to_center_distance/camera_to_anchor_distance;highp float perspective_ratio=clamp(0.5+0.5*distance_ratio,0.0,4.0);size*=perspective_ratio;float fontScale=u_is_text ? size/24.0 : size;highp float symbol_rotation=0.0;if (u_rotate_symbol) {vec4 offsetProjectedPoint=u_matrix*vec4(a_pos+vec2(1,0),0,1);vec2 a=projectedPoint.xy/projectedPoint.w;vec2 b=offsetProjectedPoint.xy/offsetProjectedPoint.w;symbol_rotation=atan((b.y-a.y)/u_aspect_ratio,b.x-a.x);}highp float angle_sin=sin(segment_angle+symbol_rotation);highp float angle_cos=cos(segment_angle+symbol_rotation);mat2 rotation_matrix=mat2(angle_cos,-1.0*angle_sin,angle_sin,angle_cos);vec4 projected_pos=u_label_plane_matrix*vec4(a_projected_pos.xy,0.0,1.0);gl_Position=u_coord_matrix*vec4(projected_pos.xy/projected_pos.w+rotation_matrix*(a_offset/32.0*max(a_minFontScale,fontScale)+a_pxoffset/16.0),0.0,1.0);v_tex=a_tex/u_texsize;vec2 fade_opacity=unpack_opacity(a_fade_opacity);float fade_change=fade_opacity[1] > 0.5 ? u_fade_change :-u_fade_change;v_fade_opacity=max(0.0,min(1.0,fade_opacity[0]+fade_change));}"),xr=_r("#define SDF_PX 8.0\nuniform bool u_is_halo;uniform sampler2D u_texture;uniform highp float u_gamma_scale;uniform lowp float u_device_pixel_ratio;uniform bool u_is_text;varying vec2 v_data0;varying vec3 v_data1;\n#pragma mapbox: define highp vec4 fill_color\n#pragma mapbox: define highp vec4 halo_color\n#pragma mapbox: define lowp float opacity\n#pragma mapbox: define lowp float halo_width\n#pragma mapbox: define lowp float halo_blur\nvoid main() {\n#pragma mapbox: initialize highp vec4 fill_color\n#pragma mapbox: initialize highp vec4 halo_color\n#pragma mapbox: initialize lowp float opacity\n#pragma mapbox: initialize lowp float halo_width\n#pragma mapbox: initialize lowp float halo_blur\nfloat EDGE_GAMMA=0.105/u_device_pixel_ratio;vec2 tex=v_data0.xy;float gamma_scale=v_data1.x;float size=v_data1.y;float fade_opacity=v_data1[2];float fontScale=u_is_text ? size/24.0 : size;lowp vec4 color=fill_color;highp float gamma=EDGE_GAMMA/(fontScale*u_gamma_scale);lowp float buff=(256.0-64.0)/256.0;if (u_is_halo) {color=halo_color;gamma=(halo_blur*1.19/SDF_PX+EDGE_GAMMA)/(fontScale*u_gamma_scale);buff=(6.0-halo_width/fontScale)/SDF_PX;}lowp float dist=texture2D(u_texture,tex).a;highp float gamma_scaled=gamma*gamma_scale;highp float alpha=smoothstep(buff-gamma_scaled,buff+gamma_scaled,dist);gl_FragColor=color*(alpha*opacity*fade_opacity);\n#ifdef OVERDRAW_INSPECTOR\ngl_FragColor=vec4(1.0);\n#endif\n}","const float PI=3.141592653589793;attribute vec4 a_pos_offset;attribute vec4 a_data;attribute vec4 a_pixeloffset;attribute vec3 a_projected_pos;attribute float a_fade_opacity;uniform bool u_is_size_zoom_constant;uniform bool u_is_size_feature_constant;uniform highp float u_size_t;uniform highp float u_size;uniform mat4 u_matrix;uniform mat4 u_label_plane_matrix;uniform mat4 u_coord_matrix;uniform bool u_is_text;uniform bool u_pitch_with_map;uniform highp float u_pitch;uniform bool u_rotate_symbol;uniform highp float u_aspect_ratio;uniform highp float u_camera_to_center_distance;uniform float u_fade_change;uniform vec2 u_texsize;varying vec2 v_data0;varying vec3 v_data1;\n#pragma mapbox: define highp vec4 fill_color\n#pragma mapbox: define highp vec4 halo_color\n#pragma mapbox: define lowp float opacity\n#pragma mapbox: define lowp float halo_width\n#pragma mapbox: define lowp float halo_blur\nvoid main() {\n#pragma mapbox: initialize highp vec4 fill_color\n#pragma mapbox: initialize highp vec4 halo_color\n#pragma mapbox: initialize lowp float opacity\n#pragma mapbox: initialize lowp float halo_width\n#pragma mapbox: initialize lowp float halo_blur\nvec2 a_pos=a_pos_offset.xy;vec2 a_offset=a_pos_offset.zw;vec2 a_tex=a_data.xy;vec2 a_size=a_data.zw;float a_size_min=floor(a_size[0]*0.5);vec2 a_pxoffset=a_pixeloffset.xy;highp float segment_angle=-a_projected_pos[2];float size;if (!u_is_size_zoom_constant && !u_is_size_feature_constant) {size=mix(a_size_min,a_size[1],u_size_t)/128.0;} else if (u_is_size_zoom_constant && !u_is_size_feature_constant) {size=a_size_min/128.0;} else {size=u_size;}vec4 projectedPoint=u_matrix*vec4(a_pos,0,1);highp float camera_to_anchor_distance=projectedPoint.w;highp float distance_ratio=u_pitch_with_map ?\ncamera_to_anchor_distance/u_camera_to_center_distance :\nu_camera_to_center_distance/camera_to_anchor_distance;highp float perspective_ratio=clamp(0.5+0.5*distance_ratio,0.0,4.0);size*=perspective_ratio;float fontScale=u_is_text ? size/24.0 : size;highp float symbol_rotation=0.0;if (u_rotate_symbol) {vec4 offsetProjectedPoint=u_matrix*vec4(a_pos+vec2(1,0),0,1);vec2 a=projectedPoint.xy/projectedPoint.w;vec2 b=offsetProjectedPoint.xy/offsetProjectedPoint.w;symbol_rotation=atan((b.y-a.y)/u_aspect_ratio,b.x-a.x);}highp float angle_sin=sin(segment_angle+symbol_rotation);highp float angle_cos=cos(segment_angle+symbol_rotation);mat2 rotation_matrix=mat2(angle_cos,-1.0*angle_sin,angle_sin,angle_cos);vec4 projected_pos=u_label_plane_matrix*vec4(a_projected_pos.xy,0.0,1.0);gl_Position=u_coord_matrix*vec4(projected_pos.xy/projected_pos.w+rotation_matrix*(a_offset/32.0*fontScale+a_pxoffset),0.0,1.0);float gamma_scale=gl_Position.w;vec2 fade_opacity=unpack_opacity(a_fade_opacity);float fade_change=fade_opacity[1] > 0.5 ? u_fade_change :-u_fade_change;float interpolated_fade_opacity=max(0.0,min(1.0,fade_opacity[0]+fade_change));v_data0=a_tex/u_texsize;v_data1=vec3(gamma_scale,size,interpolated_fade_opacity);}"),br=_r("#define SDF_PX 8.0\n#define SDF 1.0\n#define ICON 0.0\nuniform bool u_is_halo;uniform sampler2D u_texture;uniform sampler2D u_texture_icon;uniform highp float u_gamma_scale;uniform lowp float u_device_pixel_ratio;varying vec4 v_data0;varying vec4 v_data1;\n#pragma mapbox: define highp vec4 fill_color\n#pragma mapbox: define highp vec4 halo_color\n#pragma mapbox: define lowp float opacity\n#pragma mapbox: define lowp float halo_width\n#pragma mapbox: define lowp float halo_blur\nvoid main() {\n#pragma mapbox: initialize highp vec4 fill_color\n#pragma mapbox: initialize highp vec4 halo_color\n#pragma mapbox: initialize lowp float opacity\n#pragma mapbox: initialize lowp float halo_width\n#pragma mapbox: initialize lowp float halo_blur\nfloat fade_opacity=v_data1[2];if (v_data1.w==ICON) {vec2 tex_icon=v_data0.zw;lowp float alpha=opacity*fade_opacity;gl_FragColor=texture2D(u_texture_icon,tex_icon)*alpha;\n#ifdef OVERDRAW_INSPECTOR\ngl_FragColor=vec4(1.0);\n#endif\nreturn;}vec2 tex=v_data0.xy;float EDGE_GAMMA=0.105/u_device_pixel_ratio;float gamma_scale=v_data1.x;float size=v_data1.y;float fontScale=size/24.0;lowp vec4 color=fill_color;highp float gamma=EDGE_GAMMA/(fontScale*u_gamma_scale);lowp float buff=(256.0-64.0)/256.0;if (u_is_halo) {color=halo_color;gamma=(halo_blur*1.19/SDF_PX+EDGE_GAMMA)/(fontScale*u_gamma_scale);buff=(6.0-halo_width/fontScale)/SDF_PX;}lowp float dist=texture2D(u_texture,tex).a;highp float gamma_scaled=gamma*gamma_scale;highp float alpha=smoothstep(buff-gamma_scaled,buff+gamma_scaled,dist);gl_FragColor=color*(alpha*opacity*fade_opacity);\n#ifdef OVERDRAW_INSPECTOR\ngl_FragColor=vec4(1.0);\n#endif\n}","const float PI=3.141592653589793;attribute vec4 a_pos_offset;attribute vec4 a_data;attribute vec3 a_projected_pos;attribute float a_fade_opacity;uniform bool u_is_size_zoom_constant;uniform bool u_is_size_feature_constant;uniform highp float u_size_t;uniform highp float u_size;uniform mat4 u_matrix;uniform mat4 u_label_plane_matrix;uniform mat4 u_coord_matrix;uniform bool u_is_text;uniform bool u_pitch_with_map;uniform highp float u_pitch;uniform bool u_rotate_symbol;uniform highp float u_aspect_ratio;uniform highp float u_camera_to_center_distance;uniform float u_fade_change;uniform vec2 u_texsize;uniform vec2 u_texsize_icon;varying vec4 v_data0;varying vec4 v_data1;\n#pragma mapbox: define highp vec4 fill_color\n#pragma mapbox: define highp vec4 halo_color\n#pragma mapbox: define lowp float opacity\n#pragma mapbox: define lowp float halo_width\n#pragma mapbox: define lowp float halo_blur\nvoid main() {\n#pragma mapbox: initialize highp vec4 fill_color\n#pragma mapbox: initialize highp vec4 halo_color\n#pragma mapbox: initialize lowp float opacity\n#pragma mapbox: initialize lowp float halo_width\n#pragma mapbox: initialize lowp float halo_blur\nvec2 a_pos=a_pos_offset.xy;vec2 a_offset=a_pos_offset.zw;vec2 a_tex=a_data.xy;vec2 a_size=a_data.zw;float a_size_min=floor(a_size[0]*0.5);float is_sdf=a_size[0]-2.0*a_size_min;highp float segment_angle=-a_projected_pos[2];float size;if (!u_is_size_zoom_constant && !u_is_size_feature_constant) {size=mix(a_size_min,a_size[1],u_size_t)/128.0;} else if (u_is_size_zoom_constant && !u_is_size_feature_constant) {size=a_size_min/128.0;} else {size=u_size;}vec4 projectedPoint=u_matrix*vec4(a_pos,0,1);highp float camera_to_anchor_distance=projectedPoint.w;highp float distance_ratio=u_pitch_with_map ?\ncamera_to_anchor_distance/u_camera_to_center_distance :\nu_camera_to_center_distance/camera_to_anchor_distance;highp float perspective_ratio=clamp(0.5+0.5*distance_ratio,0.0,4.0);size*=perspective_ratio;float fontScale=size/24.0;highp float symbol_rotation=0.0;if (u_rotate_symbol) {vec4 offsetProjectedPoint=u_matrix*vec4(a_pos+vec2(1,0),0,1);vec2 a=projectedPoint.xy/projectedPoint.w;vec2 b=offsetProjectedPoint.xy/offsetProjectedPoint.w;symbol_rotation=atan((b.y-a.y)/u_aspect_ratio,b.x-a.x);}highp float angle_sin=sin(segment_angle+symbol_rotation);highp float angle_cos=cos(segment_angle+symbol_rotation);mat2 rotation_matrix=mat2(angle_cos,-1.0*angle_sin,angle_sin,angle_cos);vec4 projected_pos=u_label_plane_matrix*vec4(a_projected_pos.xy,0.0,1.0);gl_Position=u_coord_matrix*vec4(projected_pos.xy/projected_pos.w+rotation_matrix*(a_offset/32.0*fontScale),0.0,1.0);float gamma_scale=gl_Position.w;vec2 fade_opacity=unpack_opacity(a_fade_opacity);float fade_change=fade_opacity[1] > 0.5 ? u_fade_change :-u_fade_change;float interpolated_fade_opacity=max(0.0,min(1.0,fade_opacity[0]+fade_change));v_data0.xy=a_tex/u_texsize;v_data0.zw=a_tex/u_texsize_icon;v_data1=vec4(gamma_scale,size,interpolated_fade_opacity,is_sdf);}");function _r(t,e){var r=/#pragma mapbox: ([\w]+) ([\w]+) ([\w]+) ([\w]+)/g,n=e.match(/attribute ([\w]+) ([\w]+)/g),i=t.match(/uniform ([\w]+) ([\w]+)([\s]*)([\w]*)/g),a=e.match(/uniform ([\w]+) ([\w]+)([\s]*)([\w]*)/g),o=a?a.concat(i):i,s={};return{fragmentSource:t=t.replace(r,(function(t,e,r,n,i){return s[i]=!0,"define"===e?"\n#ifndef HAS_UNIFORM_u_"+i+"\nvarying "+r+" "+n+" "+i+";\n#else\nuniform "+r+" "+n+" u_"+i+";\n#endif\n":"\n#ifdef HAS_UNIFORM_u_"+i+"\n "+r+" "+n+" "+i+" = u_"+i+";\n#endif\n"})),vertexSource:e=e.replace(r,(function(t,e,r,n,i){var a="float"===n?"vec2":"vec4",o=i.match(/color/)?"color":a;return s[i]?"define"===e?"\n#ifndef HAS_UNIFORM_u_"+i+"\nuniform lowp float u_"+i+"_t;\nattribute "+r+" "+a+" a_"+i+";\nvarying "+r+" "+n+" "+i+";\n#else\nuniform "+r+" "+n+" u_"+i+";\n#endif\n":"vec4"===o?"\n#ifndef HAS_UNIFORM_u_"+i+"\n "+i+" = a_"+i+";\n#else\n "+r+" "+n+" "+i+" = u_"+i+";\n#endif\n":"\n#ifndef HAS_UNIFORM_u_"+i+"\n "+i+" = unpack_mix_"+o+"(a_"+i+", u_"+i+"_t);\n#else\n "+r+" "+n+" "+i+" = u_"+i+";\n#endif\n":"define"===e?"\n#ifndef HAS_UNIFORM_u_"+i+"\nuniform lowp float u_"+i+"_t;\nattribute "+r+" "+a+" a_"+i+";\n#else\nuniform "+r+" "+n+" u_"+i+";\n#endif\n":"vec4"===o?"\n#ifndef HAS_UNIFORM_u_"+i+"\n "+r+" "+n+" "+i+" = a_"+i+";\n#else\n "+r+" "+n+" "+i+" = u_"+i+";\n#endif\n":"\n#ifndef HAS_UNIFORM_u_"+i+"\n "+r+" "+n+" "+i+" = unpack_mix_"+o+"(a_"+i+", u_"+i+"_t);\n#else\n "+r+" "+n+" "+i+" = u_"+i+";\n#endif\n"})),staticAttributes:n,staticUniforms:o}}var wr=Object.freeze({__proto__:null,prelude:Ze,background:Ke,backgroundPattern:Je,circle:$e,clippingMask:Qe,heatmap:tr,heatmapTexture:er,collisionBox:rr,collisionCircle:nr,debug:ir,fill:ar,fillOutline:or,fillOutlinePattern:sr,fillPattern:lr,fillExtrusion:ur,fillExtrusionPattern:cr,hillshadePrepare:fr,hillshade:hr,line:pr,lineGradient:dr,linePattern:vr,lineSDF:gr,raster:yr,symbolIcon:mr,symbolSDF:xr,symbolTextAndIcon:br}),Tr=function(){this.boundProgram=null,this.boundLayoutVertexBuffer=null,this.boundPaintVertexBuffers=[],this.boundIndexBuffer=null,this.boundVertexOffset=null,this.boundDynamicVertexBuffer=null,this.vao=null};function kr(t){for(var e=[],r=0;r>16,s>>16],u_pixel_coord_lower:[65535&o,65535&s]}}Ar.prototype.draw=function(t,e,r,n,i,a,o,s,l,u,c,f,h,p,d,v){var g,y=t.gl;if(!this.failedToCreate){for(var m in t.program.set(this.program),t.setDepthMode(r),t.setStencilMode(n),t.setColorMode(i),t.setCullFace(a),this.fixedUniforms)this.fixedUniforms[m].set(o[m]);p&&p.setUniforms(t,this.binderUniforms,f,{zoom:h});for(var x=(g={},g[y.LINES]=2,g[y.TRIANGLES]=3,g[y.LINE_STRIP]=1,g)[e],b=0,_=c.get();b<_.length;b+=1){var w=_[b],T=w.vaos||(w.vaos={});(T[s]||(T[s]=new Tr)).bind(t,this,l,p?p.getPaintVertexBuffers():[],u,w.vertexOffset,d,v),y.drawElements(e,w.primitiveLength*x,y.UNSIGNED_SHORT,w.primitiveOffset*x*2)}}};var Sr=function(e,r,n,i){var a=r.style.light,o=a.properties.get("position"),s=[o.x,o.y,o.z],l=t.create$1();"viewport"===a.properties.get("anchor")&&t.fromRotation(l,-r.transform.angle),t.transformMat3(s,s,l);var u=a.properties.get("color");return{u_matrix:e,u_lightpos:s,u_lightintensity:a.properties.get("intensity"),u_lightcolor:[u.r,u.g,u.b],u_vertical_gradient:+n,u_opacity:i}},Er=function(e,r,n,i,a,o,s){return t.extend(Sr(e,r,n,i),Mr(o,r,s),{u_height_factor:-Math.pow(2,a.overscaledZ)/s.tileSize/8})},Lr=function(t){return{u_matrix:t}},Cr=function(e,r,n,i){return t.extend(Lr(e),Mr(n,r,i))},Pr=function(t,e){return{u_matrix:t,u_world:e}},Or=function(e,r,n,i,a){return t.extend(Cr(e,r,n,i),{u_world:a})},Ir=function(e,r,n,i){var a,o,s=e.transform;if("map"===i.paint.get("circle-pitch-alignment")){var l=ge(n,1,s.zoom);a=!0,o=[l,l]}else a=!1,o=s.pixelsToGLUnits;return{u_camera_to_center_distance:s.cameraToCenterDistance,u_scale_with_map:+("map"===i.paint.get("circle-pitch-scale")),u_matrix:e.translatePosMatrix(r.posMatrix,n,i.paint.get("circle-translate"),i.paint.get("circle-translate-anchor")),u_pitch_with_map:+a,u_device_pixel_ratio:t.browser.devicePixelRatio,u_extrude_scale:o}},Dr=function(t,e,r){var n=ge(r,1,e.zoom),i=Math.pow(2,e.zoom-r.tileID.overscaledZ),a=r.tileID.overscaleFactor();return{u_matrix:t,u_camera_to_center_distance:e.cameraToCenterDistance,u_pixels_to_tile_units:n,u_extrude_scale:[e.pixelsToGLUnits[0]/(n*i),e.pixelsToGLUnits[1]/(n*i)],u_overscale_factor:a}},zr=function(t,e,r){return{u_matrix:t,u_inv_matrix:e,u_camera_to_center_distance:r.cameraToCenterDistance,u_viewport_size:[r.width,r.height]}},Rr=function(t,e,r){return void 0===r&&(r=1),{u_matrix:t,u_color:e,u_overlay:0,u_overlay_scale:r}},Fr=function(t){return{u_matrix:t}},Br=function(t,e,r,n){return{u_matrix:t,u_extrude_scale:ge(e,1,r),u_intensity:n}},Nr=function(e,r,n,i){var a=t.create();t.ortho(a,0,e.width,e.height,0,0,1);var o=e.context.gl;return{u_matrix:a,u_world:[o.drawingBufferWidth,o.drawingBufferHeight],u_image:n,u_color_ramp:i,u_opacity:r.paint.get("heatmap-opacity")}},jr=function(e,r,n){var i=n.paint.get("hillshade-shadow-color"),a=n.paint.get("hillshade-highlight-color"),o=n.paint.get("hillshade-accent-color"),s=n.paint.get("hillshade-illumination-direction")*(Math.PI/180);"viewport"===n.paint.get("hillshade-illumination-anchor")&&(s-=e.transform.angle);var l,u,c,f=!e.options.moving;return{u_matrix:e.transform.calculatePosMatrix(r.tileID.toUnwrapped(),f),u_image:0,u_latrange:(l=r.tileID,u=Math.pow(2,l.canonical.z),c=l.canonical.y,[new t.MercatorCoordinate(0,c/u).toLngLat().lat,new t.MercatorCoordinate(0,(c+1)/u).toLngLat().lat]),u_light:[n.paint.get("hillshade-exaggeration"),s],u_shadow:i,u_highlight:a,u_accent:o}},Ur=function(e,r){var n=r.stride,i=t.create();return t.ortho(i,0,t.EXTENT,-t.EXTENT,0,0,1),t.translate(i,i,[0,-t.EXTENT,0]),{u_matrix:i,u_image:1,u_dimension:[n,n],u_zoom:e.overscaledZ,u_unpack:r.getUnpackVector()}};var Vr=function(e,r,n){var i=e.transform;return{u_matrix:Yr(e,r,n),u_ratio:1/ge(r,1,i.zoom),u_device_pixel_ratio:t.browser.devicePixelRatio,u_units_to_pixels:[1/i.pixelsToGLUnits[0],1/i.pixelsToGLUnits[1]]}},qr=function(e,r,n,i){return t.extend(Vr(e,r,n),{u_image:0,u_image_height:i})},Hr=function(e,r,n,i){var a=e.transform,o=Wr(r,a);return{u_matrix:Yr(e,r,n),u_texsize:r.imageAtlasTexture.size,u_ratio:1/ge(r,1,a.zoom),u_device_pixel_ratio:t.browser.devicePixelRatio,u_image:0,u_scale:[o,i.fromScale,i.toScale],u_fade:i.t,u_units_to_pixels:[1/a.pixelsToGLUnits[0],1/a.pixelsToGLUnits[1]]}},Gr=function(e,r,n,i,a){var o=e.transform,s=e.lineAtlas,l=Wr(r,o),u="round"===n.layout.get("line-cap"),c=s.getDash(i.from,u),f=s.getDash(i.to,u),h=c.width*a.fromScale,p=f.width*a.toScale;return t.extend(Vr(e,r,n),{u_patternscale_a:[l/h,-c.height/2],u_patternscale_b:[l/p,-f.height/2],u_sdfgamma:s.width/(256*Math.min(h,p)*t.browser.devicePixelRatio)/2,u_image:0,u_tex_y_a:c.y,u_tex_y_b:f.y,u_mix:a.t})};function Wr(t,e){return 1/ge(t,1,e.tileZoom)}function Yr(t,e,r){return t.translatePosMatrix(e.tileID.posMatrix,e,r.paint.get("line-translate"),r.paint.get("line-translate-anchor"))}var Xr=function(t,e,r,n,i){return{u_matrix:t,u_tl_parent:e,u_scale_parent:r,u_buffer_scale:1,u_fade_t:n.mix,u_opacity:n.opacity*i.paint.get("raster-opacity"),u_image0:0,u_image1:1,u_brightness_low:i.paint.get("raster-brightness-min"),u_brightness_high:i.paint.get("raster-brightness-max"),u_saturation_factor:(o=i.paint.get("raster-saturation"),o>0?1-1/(1.001-o):-o),u_contrast_factor:(a=i.paint.get("raster-contrast"),a>0?1/(1-a):1+a),u_spin_weights:Zr(i.paint.get("raster-hue-rotate"))};var a,o};function Zr(t){t*=Math.PI/180;var e=Math.sin(t),r=Math.cos(t);return[(2*r+1)/3,(-Math.sqrt(3)*e-r+1)/3,(Math.sqrt(3)*e-r+1)/3]}var Kr,Jr=function(t,e,r,n,i,a,o,s,l,u){var c=i.transform;return{u_is_size_zoom_constant:+("constant"===t||"source"===t),u_is_size_feature_constant:+("constant"===t||"camera"===t),u_size_t:e?e.uSizeT:0,u_size:e?e.uSize:0,u_camera_to_center_distance:c.cameraToCenterDistance,u_pitch:c.pitch/360*2*Math.PI,u_rotate_symbol:+r,u_aspect_ratio:c.width/c.height,u_fade_change:i.options.fadeDuration?i.symbolFadeChange:1,u_matrix:a,u_label_plane_matrix:o,u_coord_matrix:s,u_is_text:+l,u_pitch_with_map:+n,u_texsize:u,u_texture:0}},$r=function(e,r,n,i,a,o,s,l,u,c,f){var h=a.transform;return t.extend(Jr(e,r,n,i,a,o,s,l,u,c),{u_gamma_scale:i?Math.cos(h._pitch)*h.cameraToCenterDistance:1,u_device_pixel_ratio:t.browser.devicePixelRatio,u_is_halo:+f})},Qr=function(e,r,n,i,a,o,s,l,u,c){return t.extend($r(e,r,n,i,a,o,s,l,!0,u,!0),{u_texsize_icon:c,u_texture_icon:1})},tn=function(t,e,r){return{u_matrix:t,u_opacity:e,u_color:r}},en=function(e,r,n,i,a,o){return t.extend(function(t,e,r,n){var i=r.imageManager.getPattern(t.from.toString()),a=r.imageManager.getPattern(t.to.toString()),o=r.imageManager.getPixelSize(),s=o.width,l=o.height,u=Math.pow(2,n.tileID.overscaledZ),c=n.tileSize*Math.pow(2,r.transform.tileZoom)/u,f=c*(n.tileID.canonical.x+n.tileID.wrap*u),h=c*n.tileID.canonical.y;return{u_image:0,u_pattern_tl_a:i.tl,u_pattern_br_a:i.br,u_pattern_tl_b:a.tl,u_pattern_br_b:a.br,u_texsize:[s,l],u_mix:e.t,u_pattern_size_a:i.displaySize,u_pattern_size_b:a.displaySize,u_scale_a:e.fromScale,u_scale_b:e.toScale,u_tile_units_to_pixels:1/ge(n,1,r.transform.tileZoom),u_pixel_coord_upper:[f>>16,h>>16],u_pixel_coord_lower:[65535&f,65535&h]}}(i,o,n,a),{u_matrix:e,u_opacity:r})},rn={fillExtrusion:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_lightpos:new t.Uniform3f(e,r.u_lightpos),u_lightintensity:new t.Uniform1f(e,r.u_lightintensity),u_lightcolor:new t.Uniform3f(e,r.u_lightcolor),u_vertical_gradient:new t.Uniform1f(e,r.u_vertical_gradient),u_opacity:new t.Uniform1f(e,r.u_opacity)}},fillExtrusionPattern:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_lightpos:new t.Uniform3f(e,r.u_lightpos),u_lightintensity:new t.Uniform1f(e,r.u_lightintensity),u_lightcolor:new t.Uniform3f(e,r.u_lightcolor),u_vertical_gradient:new t.Uniform1f(e,r.u_vertical_gradient),u_height_factor:new t.Uniform1f(e,r.u_height_factor),u_image:new t.Uniform1i(e,r.u_image),u_texsize:new t.Uniform2f(e,r.u_texsize),u_pixel_coord_upper:new t.Uniform2f(e,r.u_pixel_coord_upper),u_pixel_coord_lower:new t.Uniform2f(e,r.u_pixel_coord_lower),u_scale:new t.Uniform3f(e,r.u_scale),u_fade:new t.Uniform1f(e,r.u_fade),u_opacity:new t.Uniform1f(e,r.u_opacity)}},fill:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix)}},fillPattern:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_image:new t.Uniform1i(e,r.u_image),u_texsize:new t.Uniform2f(e,r.u_texsize),u_pixel_coord_upper:new t.Uniform2f(e,r.u_pixel_coord_upper),u_pixel_coord_lower:new t.Uniform2f(e,r.u_pixel_coord_lower),u_scale:new t.Uniform3f(e,r.u_scale),u_fade:new t.Uniform1f(e,r.u_fade)}},fillOutline:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_world:new t.Uniform2f(e,r.u_world)}},fillOutlinePattern:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_world:new t.Uniform2f(e,r.u_world),u_image:new t.Uniform1i(e,r.u_image),u_texsize:new t.Uniform2f(e,r.u_texsize),u_pixel_coord_upper:new t.Uniform2f(e,r.u_pixel_coord_upper),u_pixel_coord_lower:new t.Uniform2f(e,r.u_pixel_coord_lower),u_scale:new t.Uniform3f(e,r.u_scale),u_fade:new t.Uniform1f(e,r.u_fade)}},circle:function(e,r){return{u_camera_to_center_distance:new t.Uniform1f(e,r.u_camera_to_center_distance),u_scale_with_map:new t.Uniform1i(e,r.u_scale_with_map),u_pitch_with_map:new t.Uniform1i(e,r.u_pitch_with_map),u_extrude_scale:new t.Uniform2f(e,r.u_extrude_scale),u_device_pixel_ratio:new t.Uniform1f(e,r.u_device_pixel_ratio),u_matrix:new t.UniformMatrix4f(e,r.u_matrix)}},collisionBox:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_camera_to_center_distance:new t.Uniform1f(e,r.u_camera_to_center_distance),u_pixels_to_tile_units:new t.Uniform1f(e,r.u_pixels_to_tile_units),u_extrude_scale:new t.Uniform2f(e,r.u_extrude_scale),u_overscale_factor:new t.Uniform1f(e,r.u_overscale_factor)}},collisionCircle:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_inv_matrix:new t.UniformMatrix4f(e,r.u_inv_matrix),u_camera_to_center_distance:new t.Uniform1f(e,r.u_camera_to_center_distance),u_viewport_size:new t.Uniform2f(e,r.u_viewport_size)}},debug:function(e,r){return{u_color:new t.UniformColor(e,r.u_color),u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_overlay:new t.Uniform1i(e,r.u_overlay),u_overlay_scale:new t.Uniform1f(e,r.u_overlay_scale)}},clippingMask:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix)}},heatmap:function(e,r){return{u_extrude_scale:new t.Uniform1f(e,r.u_extrude_scale),u_intensity:new t.Uniform1f(e,r.u_intensity),u_matrix:new t.UniformMatrix4f(e,r.u_matrix)}},heatmapTexture:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_world:new t.Uniform2f(e,r.u_world),u_image:new t.Uniform1i(e,r.u_image),u_color_ramp:new t.Uniform1i(e,r.u_color_ramp),u_opacity:new t.Uniform1f(e,r.u_opacity)}},hillshade:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_image:new t.Uniform1i(e,r.u_image),u_latrange:new t.Uniform2f(e,r.u_latrange),u_light:new t.Uniform2f(e,r.u_light),u_shadow:new t.UniformColor(e,r.u_shadow),u_highlight:new t.UniformColor(e,r.u_highlight),u_accent:new t.UniformColor(e,r.u_accent)}},hillshadePrepare:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_image:new t.Uniform1i(e,r.u_image),u_dimension:new t.Uniform2f(e,r.u_dimension),u_zoom:new t.Uniform1f(e,r.u_zoom),u_unpack:new t.Uniform4f(e,r.u_unpack)}},line:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_ratio:new t.Uniform1f(e,r.u_ratio),u_device_pixel_ratio:new t.Uniform1f(e,r.u_device_pixel_ratio),u_units_to_pixels:new t.Uniform2f(e,r.u_units_to_pixels)}},lineGradient:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_ratio:new t.Uniform1f(e,r.u_ratio),u_device_pixel_ratio:new t.Uniform1f(e,r.u_device_pixel_ratio),u_units_to_pixels:new t.Uniform2f(e,r.u_units_to_pixels),u_image:new t.Uniform1i(e,r.u_image),u_image_height:new t.Uniform1f(e,r.u_image_height)}},linePattern:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_texsize:new t.Uniform2f(e,r.u_texsize),u_ratio:new t.Uniform1f(e,r.u_ratio),u_device_pixel_ratio:new t.Uniform1f(e,r.u_device_pixel_ratio),u_image:new t.Uniform1i(e,r.u_image),u_units_to_pixels:new t.Uniform2f(e,r.u_units_to_pixels),u_scale:new t.Uniform3f(e,r.u_scale),u_fade:new t.Uniform1f(e,r.u_fade)}},lineSDF:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_ratio:new t.Uniform1f(e,r.u_ratio),u_device_pixel_ratio:new t.Uniform1f(e,r.u_device_pixel_ratio),u_units_to_pixels:new t.Uniform2f(e,r.u_units_to_pixels),u_patternscale_a:new t.Uniform2f(e,r.u_patternscale_a),u_patternscale_b:new t.Uniform2f(e,r.u_patternscale_b),u_sdfgamma:new t.Uniform1f(e,r.u_sdfgamma),u_image:new t.Uniform1i(e,r.u_image),u_tex_y_a:new t.Uniform1f(e,r.u_tex_y_a),u_tex_y_b:new t.Uniform1f(e,r.u_tex_y_b),u_mix:new t.Uniform1f(e,r.u_mix)}},raster:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_tl_parent:new t.Uniform2f(e,r.u_tl_parent),u_scale_parent:new t.Uniform1f(e,r.u_scale_parent),u_buffer_scale:new t.Uniform1f(e,r.u_buffer_scale),u_fade_t:new t.Uniform1f(e,r.u_fade_t),u_opacity:new t.Uniform1f(e,r.u_opacity),u_image0:new t.Uniform1i(e,r.u_image0),u_image1:new t.Uniform1i(e,r.u_image1),u_brightness_low:new t.Uniform1f(e,r.u_brightness_low),u_brightness_high:new t.Uniform1f(e,r.u_brightness_high),u_saturation_factor:new t.Uniform1f(e,r.u_saturation_factor),u_contrast_factor:new t.Uniform1f(e,r.u_contrast_factor),u_spin_weights:new t.Uniform3f(e,r.u_spin_weights)}},symbolIcon:function(e,r){return{u_is_size_zoom_constant:new t.Uniform1i(e,r.u_is_size_zoom_constant),u_is_size_feature_constant:new t.Uniform1i(e,r.u_is_size_feature_constant),u_size_t:new t.Uniform1f(e,r.u_size_t),u_size:new t.Uniform1f(e,r.u_size),u_camera_to_center_distance:new t.Uniform1f(e,r.u_camera_to_center_distance),u_pitch:new t.Uniform1f(e,r.u_pitch),u_rotate_symbol:new t.Uniform1i(e,r.u_rotate_symbol),u_aspect_ratio:new t.Uniform1f(e,r.u_aspect_ratio),u_fade_change:new t.Uniform1f(e,r.u_fade_change),u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_label_plane_matrix:new t.UniformMatrix4f(e,r.u_label_plane_matrix),u_coord_matrix:new t.UniformMatrix4f(e,r.u_coord_matrix),u_is_text:new t.Uniform1i(e,r.u_is_text),u_pitch_with_map:new t.Uniform1i(e,r.u_pitch_with_map),u_texsize:new t.Uniform2f(e,r.u_texsize),u_texture:new t.Uniform1i(e,r.u_texture)}},symbolSDF:function(e,r){return{u_is_size_zoom_constant:new t.Uniform1i(e,r.u_is_size_zoom_constant),u_is_size_feature_constant:new t.Uniform1i(e,r.u_is_size_feature_constant),u_size_t:new t.Uniform1f(e,r.u_size_t),u_size:new t.Uniform1f(e,r.u_size),u_camera_to_center_distance:new t.Uniform1f(e,r.u_camera_to_center_distance),u_pitch:new t.Uniform1f(e,r.u_pitch),u_rotate_symbol:new t.Uniform1i(e,r.u_rotate_symbol),u_aspect_ratio:new t.Uniform1f(e,r.u_aspect_ratio),u_fade_change:new t.Uniform1f(e,r.u_fade_change),u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_label_plane_matrix:new t.UniformMatrix4f(e,r.u_label_plane_matrix),u_coord_matrix:new t.UniformMatrix4f(e,r.u_coord_matrix),u_is_text:new t.Uniform1i(e,r.u_is_text),u_pitch_with_map:new t.Uniform1i(e,r.u_pitch_with_map),u_texsize:new t.Uniform2f(e,r.u_texsize),u_texture:new t.Uniform1i(e,r.u_texture),u_gamma_scale:new t.Uniform1f(e,r.u_gamma_scale),u_device_pixel_ratio:new t.Uniform1f(e,r.u_device_pixel_ratio),u_is_halo:new t.Uniform1i(e,r.u_is_halo)}},symbolTextAndIcon:function(e,r){return{u_is_size_zoom_constant:new t.Uniform1i(e,r.u_is_size_zoom_constant),u_is_size_feature_constant:new t.Uniform1i(e,r.u_is_size_feature_constant),u_size_t:new t.Uniform1f(e,r.u_size_t),u_size:new t.Uniform1f(e,r.u_size),u_camera_to_center_distance:new t.Uniform1f(e,r.u_camera_to_center_distance),u_pitch:new t.Uniform1f(e,r.u_pitch),u_rotate_symbol:new t.Uniform1i(e,r.u_rotate_symbol),u_aspect_ratio:new t.Uniform1f(e,r.u_aspect_ratio),u_fade_change:new t.Uniform1f(e,r.u_fade_change),u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_label_plane_matrix:new t.UniformMatrix4f(e,r.u_label_plane_matrix),u_coord_matrix:new t.UniformMatrix4f(e,r.u_coord_matrix),u_is_text:new t.Uniform1i(e,r.u_is_text),u_pitch_with_map:new t.Uniform1i(e,r.u_pitch_with_map),u_texsize:new t.Uniform2f(e,r.u_texsize),u_texsize_icon:new t.Uniform2f(e,r.u_texsize_icon),u_texture:new t.Uniform1i(e,r.u_texture),u_texture_icon:new t.Uniform1i(e,r.u_texture_icon),u_gamma_scale:new t.Uniform1f(e,r.u_gamma_scale),u_device_pixel_ratio:new t.Uniform1f(e,r.u_device_pixel_ratio),u_is_halo:new t.Uniform1i(e,r.u_is_halo)}},background:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_opacity:new t.Uniform1f(e,r.u_opacity),u_color:new t.UniformColor(e,r.u_color)}},backgroundPattern:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_opacity:new t.Uniform1f(e,r.u_opacity),u_image:new t.Uniform1i(e,r.u_image),u_pattern_tl_a:new t.Uniform2f(e,r.u_pattern_tl_a),u_pattern_br_a:new t.Uniform2f(e,r.u_pattern_br_a),u_pattern_tl_b:new t.Uniform2f(e,r.u_pattern_tl_b),u_pattern_br_b:new t.Uniform2f(e,r.u_pattern_br_b),u_texsize:new t.Uniform2f(e,r.u_texsize),u_mix:new t.Uniform1f(e,r.u_mix),u_pattern_size_a:new t.Uniform2f(e,r.u_pattern_size_a),u_pattern_size_b:new t.Uniform2f(e,r.u_pattern_size_b),u_scale_a:new t.Uniform1f(e,r.u_scale_a),u_scale_b:new t.Uniform1f(e,r.u_scale_b),u_pixel_coord_upper:new t.Uniform2f(e,r.u_pixel_coord_upper),u_pixel_coord_lower:new t.Uniform2f(e,r.u_pixel_coord_lower),u_tile_units_to_pixels:new t.Uniform1f(e,r.u_tile_units_to_pixels)}}};function nn(e,r,n,i,a,o,s){for(var l=e.context,u=l.gl,c=e.useProgram("collisionBox"),f=[],h=0,p=0,d=0;d0){var _=t.create(),w=m;t.mul(_,y.placementInvProjMatrix,e.transform.glCoordMatrix),t.mul(_,_,y.placementViewportMatrix),f.push({circleArray:b,circleOffset:p,transform:w,invTransform:_}),p=h+=b.length/4}x&&c.draw(l,u.LINES,Mt.disabled,Et.disabled,e.colorModeForRenderPass(),Ct.disabled,Dr(m,e.transform,g),n.id,x.layoutVertexBuffer,x.indexBuffer,x.segments,null,e.transform.zoom,null,null,x.collisionVertexBuffer)}}if(s&&f.length){var T=e.useProgram("collisionCircle"),k=new t.StructArrayLayout2f1f2i16;k.resize(4*h),k._trim();for(var A=0,M=0,S=f;M=0&&(v[y.associatedIconIndex]={shiftedAnchor:S,angle:E})}else he(y.numGlyphs,p)}if(f){d.clear();for(var C=e.icon.placedSymbolArray,P=0;P0){var s=t.browser.now(),l=(s-e.timeAdded)/o,u=r?(s-r.timeAdded)/o:-1,c=n.getSource(),f=a.coveringZoomLevel({tileSize:c.tileSize,roundZoom:c.roundZoom}),h=!r||Math.abs(r.tileID.overscaledZ-f)>Math.abs(e.tileID.overscaledZ-f),p=h&&e.refreshedUponExpiration?1:t.clamp(h?l:1-u,0,1);return e.refreshedUponExpiration&&l>=1&&(e.refreshedUponExpiration=!1),r?{opacity:1,mix:1-p}:{opacity:p,mix:0}}return{opacity:1,mix:0}}var gn=new t.Color(1,0,0,1),yn=new t.Color(0,1,0,1),mn=new t.Color(0,0,1,1),xn=new t.Color(1,0,1,1),bn=new t.Color(0,1,1,1);function _n(t){var e=t.transform.padding;wn(t,t.transform.height-(e.top||0),3,gn),wn(t,e.bottom||0,3,yn),Tn(t,e.left||0,3,mn),Tn(t,t.transform.width-(e.right||0),3,xn);var r=t.transform.centerPoint;!function(t,e,r,n){var i=20,a=2;kn(t,e-a/2,r-i/2,a,i,n),kn(t,e-i/2,r-a/2,i,a,n)}(t,r.x,t.transform.height-r.y,bn)}function wn(t,e,r,n){kn(t,0,e+r/2,t.transform.width,r,n)}function Tn(t,e,r,n){kn(t,e-r/2,0,r,t.transform.height,n)}function kn(e,r,n,i,a,o){var s=e.context,l=s.gl;l.enable(l.SCISSOR_TEST),l.scissor(r*t.browser.devicePixelRatio,n*t.browser.devicePixelRatio,i*t.browser.devicePixelRatio,a*t.browser.devicePixelRatio),s.clear({color:o}),l.disable(l.SCISSOR_TEST)}function An(e,r,n){var i=e.context,a=i.gl,o=n.posMatrix,s=e.useProgram("debug"),l=Mt.disabled,u=Et.disabled,c=e.colorModeForRenderPass(),f="$debug";i.activeTexture.set(a.TEXTURE0),e.emptyTexture.bind(a.LINEAR,a.CLAMP_TO_EDGE),s.draw(i,a.LINE_STRIP,l,u,c,Ct.disabled,Rr(o,t.Color.red),f,e.debugBuffer,e.tileBorderIndexBuffer,e.debugSegments);var h=r.getTileByID(n.key).latestRawTileData,p=h&&h.byteLength||0,d=Math.floor(p/1024),v=r.getTile(n).tileSize,g=512/Math.min(v,512)*(n.overscaledZ/e.transform.zoom)*.5,y=n.canonical.toString();n.overscaledZ!==n.canonical.z&&(y+=" => "+n.overscaledZ),function(t,e){t.initDebugOverlayCanvas();var r=t.debugOverlayCanvas,n=t.context.gl,i=t.debugOverlayCanvas.getContext("2d");i.clearRect(0,0,r.width,r.height),i.shadowColor="white",i.shadowBlur=2,i.lineWidth=1.5,i.strokeStyle="white",i.textBaseline="top",i.font="bold 36px Open Sans, sans-serif",i.fillText(e,5,5),i.strokeText(e,5,5),t.debugOverlayTexture.update(r),t.debugOverlayTexture.bind(n.LINEAR,n.CLAMP_TO_EDGE)}(e,y+" "+d+"kb"),s.draw(i,a.TRIANGLES,l,u,Lt.alphaBlended,Ct.disabled,Rr(o,t.Color.transparent,g),f,e.debugBuffer,e.quadTriangleIndexBuffer,e.debugSegments)}var Mn={symbol:function(e,r,n,i,a){if("translucent"===e.renderPass){var o=Et.disabled,s=e.colorModeForRenderPass();n.layout.get("text-variable-anchor")&&function(e,r,n,i,a,o,s){for(var l=r.transform,u="map"===a,c="map"===o,f=0,h=e;f256&&this.clearStencil(),r.setColorMode(Lt.disabled),r.setDepthMode(Mt.disabled);var i=this.useProgram("clippingMask");this._tileClippingMaskIDs={};for(var a=0,o=e;a256&&this.clearStencil();var t=this.nextStencilID++,e=this.context.gl;return new Et({func:e.NOTEQUAL,mask:255},t,255,e.KEEP,e.KEEP,e.REPLACE)},Sn.prototype.stencilModeForClipping=function(t){var e=this.context.gl;return new Et({func:e.EQUAL,mask:255},this._tileClippingMaskIDs[t.key],0,e.KEEP,e.KEEP,e.REPLACE)},Sn.prototype.stencilConfigForOverlap=function(t){var e,r=this.context.gl,n=t.sort((function(t,e){return e.overscaledZ-t.overscaledZ})),i=n[n.length-1].overscaledZ,a=n[0].overscaledZ-i+1;if(a>1){this.currentStencilSource=void 0,this.nextStencilID+a>256&&this.clearStencil();for(var o={},s=0;s=0;this.currentLayer--){var w=this.style._layers[i[this.currentLayer]],T=a[w.source],k=c[w.source];this._renderTileClippingMasks(w,k),this.renderLayer(this,T,w,k)}for(this.renderPass="translucent",this.currentLayer=0;this.currentLayer0?e.pop():null},Sn.prototype.isPatternMissing=function(t){if(!t)return!1;if(!t.from||!t.to)return!0;var e=this.imageManager.getPattern(t.from.toString()),r=this.imageManager.getPattern(t.to.toString());return!e||!r},Sn.prototype.useProgram=function(t,e){this.cache=this.cache||{};var r=""+t+(e?e.cacheKey:"")+(this._showOverdrawInspector?"/overdraw":"");return this.cache[r]||(this.cache[r]=new Ar(this.context,t,wr[t],e,rn[t],this._showOverdrawInspector)),this.cache[r]},Sn.prototype.setCustomLayerDefaults=function(){this.context.unbindVAO(),this.context.cullFace.setDefault(),this.context.activeTexture.setDefault(),this.context.pixelStoreUnpack.setDefault(),this.context.pixelStoreUnpackPremultiplyAlpha.setDefault(),this.context.pixelStoreUnpackFlipY.setDefault()},Sn.prototype.setBaseState=function(){var t=this.context.gl;this.context.cullFace.set(!1),this.context.viewport.set([0,0,this.width,this.height]),this.context.blendEquation.set(t.FUNC_ADD)},Sn.prototype.initDebugOverlayCanvas=function(){if(null==this.debugOverlayCanvas){this.debugOverlayCanvas=t.window.document.createElement("canvas"),this.debugOverlayCanvas.width=512,this.debugOverlayCanvas.height=512;var e=this.context.gl;this.debugOverlayTexture=new t.Texture(this.context,this.debugOverlayCanvas,e.RGBA)}},Sn.prototype.destroy=function(){this.emptyTexture.destroy(),this.debugOverlayTexture&&this.debugOverlayTexture.destroy()};var En=function(t,e){this.points=t,this.planes=e};En.fromInvProjectionMatrix=function(e,r,n){var i=Math.pow(2,n),a=[[-1,1,-1,1],[1,1,-1,1],[1,-1,-1,1],[-1,-1,-1,1],[-1,1,1,1],[1,1,1,1],[1,-1,1,1],[-1,-1,1,1]].map((function(r){return t.transformMat4([],r,e)})).map((function(e){return t.scale$1([],e,1/e[3]/r*i)})),o=[[0,1,2],[6,5,4],[0,3,7],[2,1,5],[3,2,6],[0,4,5]].map((function(e){var r=t.sub([],a[e[0]],a[e[1]]),n=t.sub([],a[e[2]],a[e[1]]),i=t.normalize([],t.cross([],r,n)),o=-t.dot(i,a[e[1]]);return i.concat(o)}));return new En(a,o)};var Ln=function(e,r){this.min=e,this.max=r,this.center=t.scale$2([],t.add([],this.min,this.max),.5)};Ln.prototype.quadrant=function(e){for(var r=[e%2==0,e<2],n=t.clone$2(this.min),i=t.clone$2(this.max),a=0;a=0;if(0===o)return 0;o!==r.length&&(n=!1)}if(n)return 2;for(var l=0;l<3;l++){for(var u=Number.MAX_VALUE,c=-Number.MAX_VALUE,f=0;fthis.max[l]-this.min[l])return 0}return 1};var Cn=function(t,e,r,n){if(void 0===t&&(t=0),void 0===e&&(e=0),void 0===r&&(r=0),void 0===n&&(n=0),isNaN(t)||t<0||isNaN(e)||e<0||isNaN(r)||r<0||isNaN(n)||n<0)throw new Error("Invalid value for edge-insets, top, bottom, left and right must all be numbers");this.top=t,this.bottom=e,this.left=r,this.right=n};Cn.prototype.interpolate=function(e,r,n){return null!=r.top&&null!=e.top&&(this.top=t.number(e.top,r.top,n)),null!=r.bottom&&null!=e.bottom&&(this.bottom=t.number(e.bottom,r.bottom,n)),null!=r.left&&null!=e.left&&(this.left=t.number(e.left,r.left,n)),null!=r.right&&null!=e.right&&(this.right=t.number(e.right,r.right,n)),this},Cn.prototype.getCenter=function(e,r){var n=t.clamp((this.left+e-this.right)/2,0,e),i=t.clamp((this.top+r-this.bottom)/2,0,r);return new t.Point(n,i)},Cn.prototype.equals=function(t){return this.top===t.top&&this.bottom===t.bottom&&this.left===t.left&&this.right===t.right},Cn.prototype.clone=function(){return new Cn(this.top,this.bottom,this.left,this.right)},Cn.prototype.toJSON=function(){return{top:this.top,bottom:this.bottom,left:this.left,right:this.right}};var Pn=function(e,r,n,i,a){this.tileSize=512,this.maxValidLatitude=85.051129,this._renderWorldCopies=void 0===a||a,this._minZoom=e||0,this._maxZoom=r||22,this._minPitch=null==n?0:n,this._maxPitch=null==i?60:i,this.setMaxBounds(),this.width=0,this.height=0,this._center=new t.LngLat(0,0),this.zoom=0,this.angle=0,this._fov=.6435011087932844,this._pitch=0,this._unmodified=!0,this._edgeInsets=new Cn,this._posMatrixCache={},this._alignedPosMatrixCache={}},On={minZoom:{configurable:!0},maxZoom:{configurable:!0},minPitch:{configurable:!0},maxPitch:{configurable:!0},renderWorldCopies:{configurable:!0},worldSize:{configurable:!0},centerOffset:{configurable:!0},size:{configurable:!0},bearing:{configurable:!0},pitch:{configurable:!0},fov:{configurable:!0},zoom:{configurable:!0},center:{configurable:!0},padding:{configurable:!0},centerPoint:{configurable:!0},unmodified:{configurable:!0},point:{configurable:!0}};Pn.prototype.clone=function(){var t=new Pn(this._minZoom,this._maxZoom,this._minPitch,this.maxPitch,this._renderWorldCopies);return t.tileSize=this.tileSize,t.latRange=this.latRange,t.width=this.width,t.height=this.height,t._center=this._center,t.zoom=this.zoom,t.angle=this.angle,t._fov=this._fov,t._pitch=this._pitch,t._unmodified=this._unmodified,t._edgeInsets=this._edgeInsets.clone(),t._calcMatrices(),t},On.minZoom.get=function(){return this._minZoom},On.minZoom.set=function(t){this._minZoom!==t&&(this._minZoom=t,this.zoom=Math.max(this.zoom,t))},On.maxZoom.get=function(){return this._maxZoom},On.maxZoom.set=function(t){this._maxZoom!==t&&(this._maxZoom=t,this.zoom=Math.min(this.zoom,t))},On.minPitch.get=function(){return this._minPitch},On.minPitch.set=function(t){this._minPitch!==t&&(this._minPitch=t,this.pitch=Math.max(this.pitch,t))},On.maxPitch.get=function(){return this._maxPitch},On.maxPitch.set=function(t){this._maxPitch!==t&&(this._maxPitch=t,this.pitch=Math.min(this.pitch,t))},On.renderWorldCopies.get=function(){return this._renderWorldCopies},On.renderWorldCopies.set=function(t){void 0===t?t=!0:null===t&&(t=!1),this._renderWorldCopies=t},On.worldSize.get=function(){return this.tileSize*this.scale},On.centerOffset.get=function(){return this.centerPoint._sub(this.size._div(2))},On.size.get=function(){return new t.Point(this.width,this.height)},On.bearing.get=function(){return-this.angle/Math.PI*180},On.bearing.set=function(e){var r=-t.wrap(e,-180,180)*Math.PI/180;this.angle!==r&&(this._unmodified=!1,this.angle=r,this._calcMatrices(),this.rotationMatrix=t.create$2(),t.rotate(this.rotationMatrix,this.rotationMatrix,this.angle))},On.pitch.get=function(){return this._pitch/Math.PI*180},On.pitch.set=function(e){var r=t.clamp(e,this.minPitch,this.maxPitch)/180*Math.PI;this._pitch!==r&&(this._unmodified=!1,this._pitch=r,this._calcMatrices())},On.fov.get=function(){return this._fov/Math.PI*180},On.fov.set=function(t){t=Math.max(.01,Math.min(60,t)),this._fov!==t&&(this._unmodified=!1,this._fov=t/180*Math.PI,this._calcMatrices())},On.zoom.get=function(){return this._zoom},On.zoom.set=function(t){var e=Math.min(Math.max(t,this.minZoom),this.maxZoom);this._zoom!==e&&(this._unmodified=!1,this._zoom=e,this.scale=this.zoomScale(e),this.tileZoom=Math.floor(e),this.zoomFraction=e-this.tileZoom,this._constrain(),this._calcMatrices())},On.center.get=function(){return this._center},On.center.set=function(t){t.lat===this._center.lat&&t.lng===this._center.lng||(this._unmodified=!1,this._center=t,this._constrain(),this._calcMatrices())},On.padding.get=function(){return this._edgeInsets.toJSON()},On.padding.set=function(t){this._edgeInsets.equals(t)||(this._unmodified=!1,this._edgeInsets.interpolate(this._edgeInsets,t,1),this._calcMatrices())},On.centerPoint.get=function(){return this._edgeInsets.getCenter(this.width,this.height)},Pn.prototype.isPaddingEqual=function(t){return this._edgeInsets.equals(t)},Pn.prototype.interpolatePadding=function(t,e,r){this._unmodified=!1,this._edgeInsets.interpolate(t,e,r),this._constrain(),this._calcMatrices()},Pn.prototype.coveringZoomLevel=function(t){var e=(t.roundZoom?Math.round:Math.floor)(this.zoom+this.scaleZoom(this.tileSize/t.tileSize));return Math.max(0,e)},Pn.prototype.getVisibleUnwrappedCoordinates=function(e){var r=[new t.UnwrappedTileID(0,e)];if(this._renderWorldCopies)for(var n=this.pointCoordinate(new t.Point(0,0)),i=this.pointCoordinate(new t.Point(this.width,0)),a=this.pointCoordinate(new t.Point(this.width,this.height)),o=this.pointCoordinate(new t.Point(0,this.height)),s=Math.floor(Math.min(n.x,i.x,a.x,o.x)),l=Math.floor(Math.max(n.x,i.x,a.x,o.x)),u=s-1;u<=l+1;u++)0!==u&&r.push(new t.UnwrappedTileID(u,e));return r},Pn.prototype.coveringTiles=function(e){var r=this.coveringZoomLevel(e),n=r;if(void 0!==e.minzoom&&re.maxzoom&&(r=e.maxzoom);var i=t.MercatorCoordinate.fromLngLat(this.center),a=Math.pow(2,r),o=[a*i.x,a*i.y,0],s=En.fromInvProjectionMatrix(this.invProjMatrix,this.worldSize,r),l=e.minzoom||0;this.pitch<=60&&this._edgeInsets.top<.1&&(l=r);var u=function(t){return{aabb:new Ln([t*a,0,0],[(t+1)*a,a,0]),zoom:0,x:0,y:0,wrap:t,fullyVisible:!1}},c=[],f=[],h=r,p=e.reparseOverscaled?n:r;if(this._renderWorldCopies)for(var d=1;d<=3;d++)c.push(u(-d)),c.push(u(d));for(c.push(u(0));c.length>0;){var v=c.pop(),g=v.x,y=v.y,m=v.fullyVisible;if(!m){var x=v.aabb.intersects(s);if(0===x)continue;m=2===x}var b=v.aabb.distanceX(o),_=v.aabb.distanceY(o),w=Math.max(Math.abs(b),Math.abs(_)),T=3+(1<T&&v.zoom>=l)f.push({tileID:new t.OverscaledTileID(v.zoom===h?p:v.zoom,v.wrap,v.zoom,g,y),distanceSq:t.sqrLen([o[0]-.5-g,o[1]-.5-y])});else for(var k=0;k<4;k++){var A=(g<<1)+k%2,M=(y<<1)+(k>>1);c.push({aabb:v.aabb.quadrant(k),zoom:v.zoom+1,x:A,y:M,wrap:v.wrap,fullyVisible:m})}}return f.sort((function(t,e){return t.distanceSq-e.distanceSq})).map((function(t){return t.tileID}))},Pn.prototype.resize=function(t,e){this.width=t,this.height=e,this.pixelsToGLUnits=[2/t,-2/e],this._constrain(),this._calcMatrices()},On.unmodified.get=function(){return this._unmodified},Pn.prototype.zoomScale=function(t){return Math.pow(2,t)},Pn.prototype.scaleZoom=function(t){return Math.log(t)/Math.LN2},Pn.prototype.project=function(e){var r=t.clamp(e.lat,-this.maxValidLatitude,this.maxValidLatitude);return new t.Point(t.mercatorXfromLng(e.lng)*this.worldSize,t.mercatorYfromLat(r)*this.worldSize)},Pn.prototype.unproject=function(e){return new t.MercatorCoordinate(e.x/this.worldSize,e.y/this.worldSize).toLngLat()},On.point.get=function(){return this.project(this.center)},Pn.prototype.setLocationAtPoint=function(e,r){var n=this.pointCoordinate(r),i=this.pointCoordinate(this.centerPoint),a=this.locationCoordinate(e),o=new t.MercatorCoordinate(a.x-(n.x-i.x),a.y-(n.y-i.y));this.center=this.coordinateLocation(o),this._renderWorldCopies&&(this.center=this.center.wrap())},Pn.prototype.locationPoint=function(t){return this.coordinatePoint(this.locationCoordinate(t))},Pn.prototype.pointLocation=function(t){return this.coordinateLocation(this.pointCoordinate(t))},Pn.prototype.locationCoordinate=function(e){return t.MercatorCoordinate.fromLngLat(e)},Pn.prototype.coordinateLocation=function(t){return t.toLngLat()},Pn.prototype.pointCoordinate=function(e){var r=[e.x,e.y,0,1],n=[e.x,e.y,1,1];t.transformMat4(r,r,this.pixelMatrixInverse),t.transformMat4(n,n,this.pixelMatrixInverse);var i=r[3],a=n[3],o=r[0]/i,s=n[0]/a,l=r[1]/i,u=n[1]/a,c=r[2]/i,f=n[2]/a,h=c===f?0:(0-c)/(f-c);return new t.MercatorCoordinate(t.number(o,s,h)/this.worldSize,t.number(l,u,h)/this.worldSize)},Pn.prototype.coordinatePoint=function(e){var r=[e.x*this.worldSize,e.y*this.worldSize,0,1];return t.transformMat4(r,r,this.pixelMatrix),new t.Point(r[0]/r[3],r[1]/r[3])},Pn.prototype.getBounds=function(){return(new t.LngLatBounds).extend(this.pointLocation(new t.Point(0,0))).extend(this.pointLocation(new t.Point(this.width,0))).extend(this.pointLocation(new t.Point(this.width,this.height))).extend(this.pointLocation(new t.Point(0,this.height)))},Pn.prototype.getMaxBounds=function(){return this.latRange&&2===this.latRange.length&&this.lngRange&&2===this.lngRange.length?new t.LngLatBounds([this.lngRange[0],this.latRange[0]],[this.lngRange[1],this.latRange[1]]):null},Pn.prototype.setMaxBounds=function(t){t?(this.lngRange=[t.getWest(),t.getEast()],this.latRange=[t.getSouth(),t.getNorth()],this._constrain()):(this.lngRange=null,this.latRange=[-this.maxValidLatitude,this.maxValidLatitude])},Pn.prototype.calculatePosMatrix=function(e,r){void 0===r&&(r=!1);var n=e.key,i=r?this._alignedPosMatrixCache:this._posMatrixCache;if(i[n])return i[n];var a=e.canonical,o=this.worldSize/this.zoomScale(a.z),s=a.x+Math.pow(2,a.z)*e.wrap,l=t.identity(new Float64Array(16));return t.translate(l,l,[s*o,a.y*o,0]),t.scale(l,l,[o/t.EXTENT,o/t.EXTENT,1]),t.multiply(l,r?this.alignedProjMatrix:this.projMatrix,l),i[n]=new Float32Array(l),i[n]},Pn.prototype.customLayerMatrix=function(){return this.mercatorMatrix.slice()},Pn.prototype._constrain=function(){if(this.center&&this.width&&this.height&&!this._constraining){this._constraining=!0;var e,r,n,i,a=-90,o=90,s=-180,l=180,u=this.size,c=this._unmodified;if(this.latRange){var f=this.latRange;a=t.mercatorYfromLat(f[1])*this.worldSize,e=(o=t.mercatorYfromLat(f[0])*this.worldSize)-ao&&(i=o-g)}if(this.lngRange){var y=p.x,m=u.x/2;y-ml&&(n=l-m)}void 0===n&&void 0===i||(this.center=this.unproject(new t.Point(void 0!==n?n:p.x,void 0!==i?i:p.y))),this._unmodified=c,this._constraining=!1}},Pn.prototype._calcMatrices=function(){if(this.height){var e=this._fov/2,r=this.centerOffset;this.cameraToCenterDistance=.5/Math.tan(e)*this.height;var n=Math.PI/2+this._pitch,i=this._fov*(.5+r.y/this.height),a=Math.sin(i)*this.cameraToCenterDistance/Math.sin(t.clamp(Math.PI-n-i,.01,Math.PI-.01)),o=this.point,s=o.x,l=o.y,u=1.01*(Math.cos(Math.PI/2-this._pitch)*a+this.cameraToCenterDistance),c=this.height/50,f=new Float64Array(16);t.perspective(f,this._fov,this.width/this.height,c,u),f[8]=2*-r.x/this.width,f[9]=2*r.y/this.height,t.scale(f,f,[1,-1,1]),t.translate(f,f,[0,0,-this.cameraToCenterDistance]),t.rotateX(f,f,this._pitch),t.rotateZ(f,f,this.angle),t.translate(f,f,[-s,-l,0]),this.mercatorMatrix=t.scale([],f,[this.worldSize,this.worldSize,this.worldSize]),t.scale(f,f,[1,1,t.mercatorZfromAltitude(1,this.center.lat)*this.worldSize,1]),this.projMatrix=f,this.invProjMatrix=t.invert([],this.projMatrix);var h=this.width%2/2,p=this.height%2/2,d=Math.cos(this.angle),v=Math.sin(this.angle),g=s-Math.round(s)+d*h+v*p,y=l-Math.round(l)+d*p+v*h,m=new Float64Array(f);if(t.translate(m,m,[g>.5?g-1:g,y>.5?y-1:y,0]),this.alignedProjMatrix=m,f=t.create(),t.scale(f,f,[this.width/2,-this.height/2,1]),t.translate(f,f,[1,-1,0]),this.labelPlaneMatrix=f,f=t.create(),t.scale(f,f,[1,-1,1]),t.translate(f,f,[-1,-1,0]),t.scale(f,f,[2/this.width,2/this.height,1]),this.glCoordMatrix=f,this.pixelMatrix=t.multiply(new Float64Array(16),this.labelPlaneMatrix,this.projMatrix),!(f=t.invert(new Float64Array(16),this.pixelMatrix)))throw new Error("failed to invert matrix");this.pixelMatrixInverse=f,this._posMatrixCache={},this._alignedPosMatrixCache={}}},Pn.prototype.maxPitchScaleFactor=function(){if(!this.pixelMatrixInverse)return 1;var e=this.pointCoordinate(new t.Point(0,0)),r=[e.x*this.worldSize,e.y*this.worldSize,0,1];return t.transformMat4(r,r,this.pixelMatrix)[3]/this.cameraToCenterDistance},Pn.prototype.getCameraPoint=function(){var e=this._pitch,r=Math.tan(e)*(this.cameraToCenterDistance||1);return this.centerPoint.add(new t.Point(0,r))},Pn.prototype.getCameraQueryGeometry=function(e){var r=this.getCameraPoint();if(1===e.length)return[e[0],r];for(var n=r.x,i=r.y,a=r.x,o=r.y,s=0,l=e;s=3&&!t.some((function(t){return isNaN(t)}))){var e=this._map.dragRotate.isEnabled()&&this._map.touchZoomRotate.isEnabled()?+(t[3]||0):this._map.getBearing();return this._map.jumpTo({center:[+t[2],+t[1]],zoom:+t[0],bearing:e,pitch:+(t[4]||0)}),!0}return!1},In.prototype._updateHashUnthrottled=function(){var e=t.window.location.href.replace(/(#.+)?$/,this.getHashString());try{t.window.history.replaceState(t.window.history.state,null,e)}catch(t){}};var Dn={linearity:.3,easing:t.bezier(0,0,.3,1)},zn=t.extend({deceleration:2500,maxSpeed:1400},Dn),Rn=t.extend({deceleration:20,maxSpeed:1400},Dn),Fn=t.extend({deceleration:1e3,maxSpeed:360},Dn),Bn=t.extend({deceleration:1e3,maxSpeed:90},Dn),Nn=function(t){this._map=t,this.clear()};function jn(t,e){(!t.duration||t.duration0&&r-e[0].time>160;)e.shift()},Nn.prototype._onMoveEnd=function(e){if(this._drainInertiaBuffer(),!(this._inertiaBuffer.length<2)){for(var r={zoom:0,bearing:0,pitch:0,pan:new t.Point(0,0),pinchAround:void 0,around:void 0},n=0,i=this._inertiaBuffer;n=this._clickTolerance||this._map.fire(new Vn(t.type,this._map,t))},Gn.prototype.dblclick=function(t){return this._firePreventable(new Vn(t.type,this._map,t))},Gn.prototype.mouseover=function(t){this._map.fire(new Vn(t.type,this._map,t))},Gn.prototype.mouseout=function(t){this._map.fire(new Vn(t.type,this._map,t))},Gn.prototype.touchstart=function(t){return this._firePreventable(new qn(t.type,this._map,t))},Gn.prototype.touchmove=function(t){this._map.fire(new qn(t.type,this._map,t))},Gn.prototype.touchend=function(t){this._map.fire(new qn(t.type,this._map,t))},Gn.prototype.touchcancel=function(t){this._map.fire(new qn(t.type,this._map,t))},Gn.prototype._firePreventable=function(t){if(this._map.fire(t),t.defaultPrevented)return{}},Gn.prototype.isEnabled=function(){return!0},Gn.prototype.isActive=function(){return!1},Gn.prototype.enable=function(){},Gn.prototype.disable=function(){};var Wn=function(t){this._map=t};Wn.prototype.reset=function(){this._delayContextMenu=!1,delete this._contextMenuEvent},Wn.prototype.mousemove=function(t){this._map.fire(new Vn(t.type,this._map,t))},Wn.prototype.mousedown=function(){this._delayContextMenu=!0},Wn.prototype.mouseup=function(){this._delayContextMenu=!1,this._contextMenuEvent&&(this._map.fire(new Vn("contextmenu",this._map,this._contextMenuEvent)),delete this._contextMenuEvent)},Wn.prototype.contextmenu=function(t){this._delayContextMenu?this._contextMenuEvent=t:this._map.fire(new Vn(t.type,this._map,t)),this._map.listens("contextmenu")&&t.preventDefault()},Wn.prototype.isEnabled=function(){return!0},Wn.prototype.isActive=function(){return!1},Wn.prototype.enable=function(){},Wn.prototype.disable=function(){};var Yn=function(t,e){this._map=t,this._el=t.getCanvasContainer(),this._container=t.getContainer(),this._clickTolerance=e.clickTolerance||1};function Xn(t,e){for(var r={},n=0;nthis.numTouches)&&(this.aborted=!0),this.aborted||(void 0===this.startTime&&(this.startTime=e.timeStamp),n.length===this.numTouches&&(this.centroid=function(e){for(var r=new t.Point(0,0),n=0,i=e;n30)&&(this.aborted=!0)}}},Zn.prototype.touchend=function(t,e,r){if((!this.centroid||t.timeStamp-this.startTime>500)&&(this.aborted=!0),0===r.length){var n=!this.aborted&&this.centroid;if(this.reset(),n)return n}};var Kn=function(t){this.singleTap=new Zn(t),this.numTaps=t.numTaps,this.reset()};Kn.prototype.reset=function(){this.lastTime=1/0,delete this.lastTap,this.count=0,this.singleTap.reset()},Kn.prototype.touchstart=function(t,e,r){this.singleTap.touchstart(t,e,r)},Kn.prototype.touchmove=function(t,e,r){this.singleTap.touchmove(t,e,r)},Kn.prototype.touchend=function(t,e,r){var n=this.singleTap.touchend(t,e,r);if(n){var i=t.timeStamp-this.lastTime<500,a=!this.lastTap||this.lastTap.dist(n)<30;if(i&&a||this.reset(),this.count++,this.lastTime=t.timeStamp,this.lastTap=n,this.count===this.numTaps)return this.reset(),n}};var Jn=function(){this._zoomIn=new Kn({numTouches:1,numTaps:2}),this._zoomOut=new Kn({numTouches:2,numTaps:1}),this.reset()};Jn.prototype.reset=function(){this._active=!1,this._zoomIn.reset(),this._zoomOut.reset()},Jn.prototype.touchstart=function(t,e,r){this._zoomIn.touchstart(t,e,r),this._zoomOut.touchstart(t,e,r)},Jn.prototype.touchmove=function(t,e,r){this._zoomIn.touchmove(t,e,r),this._zoomOut.touchmove(t,e,r)},Jn.prototype.touchend=function(t,e,r){var n=this,i=this._zoomIn.touchend(t,e,r),a=this._zoomOut.touchend(t,e,r);return i?(this._active=!0,t.preventDefault(),setTimeout((function(){return n.reset()}),0),{cameraAnimation:function(e){return e.easeTo({duration:300,zoom:e.getZoom()+1,around:e.unproject(i)},{originalEvent:t})}}):a?(this._active=!0,t.preventDefault(),setTimeout((function(){return n.reset()}),0),{cameraAnimation:function(e){return e.easeTo({duration:300,zoom:e.getZoom()-1,around:e.unproject(a)},{originalEvent:t})}}):void 0},Jn.prototype.touchcancel=function(){this.reset()},Jn.prototype.enable=function(){this._enabled=!0},Jn.prototype.disable=function(){this._enabled=!1,this.reset()},Jn.prototype.isEnabled=function(){return this._enabled},Jn.prototype.isActive=function(){return this._active};var $n={};$n[0]=1,$n[2]=2;var Qn=function(t){this.reset(),this._clickTolerance=t.clickTolerance||1};Qn.prototype.reset=function(){this._active=!1,this._moved=!1,delete this._lastPoint,delete this._eventButton},Qn.prototype._correctButton=function(t,e){return!1},Qn.prototype._move=function(t,e){return{}},Qn.prototype.mousedown=function(t,e){if(!this._lastPoint){var n=r.mouseButton(t);this._correctButton(t,n)&&(this._lastPoint=e,this._eventButton=n)}},Qn.prototype.mousemoveWindow=function(t,e){var r=this._lastPoint;if(r)if(t.preventDefault(),function(t,e){var r=$n[e];return void 0===t.buttons||(t.buttons&r)!==r}(t,this._eventButton))this.reset();else if(this._moved||!(e.dist(r)0&&(this._active=!0);var i=Xn(n,r),a=new t.Point(0,0),o=new t.Point(0,0),s=0;for(var l in i){var u=i[l],c=this._touches[l];c&&(a._add(u),o._add(u.sub(c)),s++,i[l]=u)}if(this._touches=i,!(sMath.abs(t.x)}var fi=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.reset=function(){t.prototype.reset.call(this),this._valid=void 0,delete this._firstMove,delete this._lastPoints},e.prototype._start=function(t){this._lastPoints=t,ci(t[0].sub(t[1]))&&(this._valid=!1)},e.prototype._move=function(t,e,r){var n=t[0].sub(this._lastPoints[0]),i=t[1].sub(this._lastPoints[1]);if(this._valid=this.gestureBeginsVertically(n,i,r.timeStamp),this._valid)return this._lastPoints=t,this._active=!0,{pitchDelta:(n.y+i.y)/2*-.5}},e.prototype.gestureBeginsVertically=function(t,e,r){if(void 0!==this._valid)return this._valid;var n=t.mag()>=2,i=e.mag()>=2;if(n||i){if(!n||!i)return void 0===this._firstMove&&(this._firstMove=r),r-this._firstMove<100&&void 0;var a=t.y>0==e.y>0;return ci(t)&&ci(e)&&a}},e}(ii),hi={panStep:100,bearingStep:15,pitchStep:10},pi=function(){var t=hi;this._panStep=t.panStep,this._bearingStep=t.bearingStep,this._pitchStep=t.pitchStep,this._rotationDisabled=!1};function di(t){return t*(2-t)}pi.prototype.reset=function(){this._active=!1},pi.prototype.keydown=function(t){var e=this;if(!(t.altKey||t.ctrlKey||t.metaKey)){var r=0,n=0,i=0,a=0,o=0;switch(t.keyCode){case 61:case 107:case 171:case 187:r=1;break;case 189:case 109:case 173:r=-1;break;case 37:t.shiftKey?n=-1:(t.preventDefault(),a=-1);break;case 39:t.shiftKey?n=1:(t.preventDefault(),a=1);break;case 38:t.shiftKey?i=1:(t.preventDefault(),o=-1);break;case 40:t.shiftKey?i=-1:(t.preventDefault(),o=1);break;default:return}return this._rotationDisabled&&(n=0,i=0),{cameraAnimation:function(s){var l=s.getZoom();s.easeTo({duration:300,easeId:"keyboardHandler",easing:di,zoom:r?Math.round(l)+r*(t.shiftKey?2:1):l,bearing:s.getBearing()+n*e._bearingStep,pitch:s.getPitch()+i*e._pitchStep,offset:[-a*e._panStep,-o*e._panStep],center:s.getCenter()},{originalEvent:t})}}}},pi.prototype.enable=function(){this._enabled=!0},pi.prototype.disable=function(){this._enabled=!1,this.reset()},pi.prototype.isEnabled=function(){return this._enabled},pi.prototype.isActive=function(){return this._active},pi.prototype.disableRotation=function(){this._rotationDisabled=!0},pi.prototype.enableRotation=function(){this._rotationDisabled=!1};var vi=4.000244140625,gi=function(e,r){this._map=e,this._el=e.getCanvasContainer(),this._handler=r,this._delta=0,this._defaultZoomRate=.01,this._wheelZoomRate=.0022222222222222222,t.bindAll(["_onTimeout"],this)};gi.prototype.setZoomRate=function(t){this._defaultZoomRate=t},gi.prototype.setWheelZoomRate=function(t){this._wheelZoomRate=t},gi.prototype.isEnabled=function(){return!!this._enabled},gi.prototype.isActive=function(){return!!this._active||void 0!==this._finishTimeout},gi.prototype.isZooming=function(){return!!this._zooming},gi.prototype.enable=function(t){this.isEnabled()||(this._enabled=!0,this._aroundCenter=t&&"center"===t.around)},gi.prototype.disable=function(){this.isEnabled()&&(this._enabled=!1)},gi.prototype.wheel=function(e){if(this.isEnabled()){var r=e.deltaMode===t.window.WheelEvent.DOM_DELTA_LINE?40*e.deltaY:e.deltaY,n=t.browser.now(),i=n-(this._lastWheelEventTime||0);this._lastWheelEventTime=n,0!==r&&r%vi==0?this._type="wheel":0!==r&&Math.abs(r)<4?this._type="trackpad":i>400?(this._type=null,this._lastValue=r,this._timeout=setTimeout(this._onTimeout,40,e)):this._type||(this._type=Math.abs(i*r)<200?"trackpad":"wheel",this._timeout&&(clearTimeout(this._timeout),this._timeout=null,r+=this._lastValue)),e.shiftKey&&r&&(r/=4),this._type&&(this._lastWheelEvent=e,this._delta-=r,this._active||this._start(e)),e.preventDefault()}},gi.prototype._onTimeout=function(t){this._type="wheel",this._delta-=this._lastValue,this._active||this._start(t)},gi.prototype._start=function(e){if(this._delta){this._frameId&&(this._frameId=null),this._active=!0,this.isZooming()||(this._zooming=!0),this._finishTimeout&&(clearTimeout(this._finishTimeout),delete this._finishTimeout);var n=r.mousePos(this._el,e);this._around=t.LngLat.convert(this._aroundCenter?this._map.getCenter():this._map.unproject(n)),this._aroundPoint=this._map.transform.locationPoint(this._around),this._frameId||(this._frameId=!0,this._handler._triggerRenderFrame())}},gi.prototype.renderFrame=function(){var e=this;if(this._frameId&&(this._frameId=null,this.isActive())){var r=this._map.transform;if(0!==this._delta){var n="wheel"===this._type&&Math.abs(this._delta)>vi?this._wheelZoomRate:this._defaultZoomRate,i=2/(1+Math.exp(-Math.abs(this._delta*n)));this._delta<0&&0!==i&&(i=1/i);var a="number"==typeof this._targetZoom?r.zoomScale(this._targetZoom):r.scale;this._targetZoom=Math.min(r.maxZoom,Math.max(r.minZoom,r.scaleZoom(a*i))),"wheel"===this._type&&(this._startZoom=r.zoom,this._easing=this._smoothOutEasing(200)),this._delta=0}var o,s="number"==typeof this._targetZoom?this._targetZoom:r.zoom,l=this._startZoom,u=this._easing,c=!1;if("wheel"===this._type&&l&&u){var f=Math.min((t.browser.now()-this._lastWheelEventTime)/200,1),h=u(f);o=t.number(l,s,h),f<1?this._frameId||(this._frameId=!0):c=!0}else o=s,c=!0;return this._active=!0,c&&(this._active=!1,this._finishTimeout=setTimeout((function(){e._zooming=!1,e._handler._triggerRenderFrame(),delete e._targetZoom,delete e._finishTimeout}),200)),{noInertia:!0,needsRenderFrame:!c,zoomDelta:o-r.zoom,around:this._aroundPoint,originalEvent:this._lastWheelEvent}}},gi.prototype._smoothOutEasing=function(e){var r=t.ease;if(this._prevEase){var n=this._prevEase,i=(t.browser.now()-n.start)/n.duration,a=n.easing(i+.01)-n.easing(i),o=.27/Math.sqrt(a*a+1e-4)*.01,s=Math.sqrt(.0729-o*o);r=t.bezier(o,s,.25,1)}return this._prevEase={start:t.browser.now(),duration:e,easing:r},r},gi.prototype.reset=function(){this._active=!1};var yi=function(t,e){this._clickZoom=t,this._tapZoom=e};yi.prototype.enable=function(){this._clickZoom.enable(),this._tapZoom.enable()},yi.prototype.disable=function(){this._clickZoom.disable(),this._tapZoom.disable()},yi.prototype.isEnabled=function(){return this._clickZoom.isEnabled()&&this._tapZoom.isEnabled()},yi.prototype.isActive=function(){return this._clickZoom.isActive()||this._tapZoom.isActive()};var mi=function(){this.reset()};mi.prototype.reset=function(){this._active=!1},mi.prototype.dblclick=function(t,e){return t.preventDefault(),{cameraAnimation:function(r){r.easeTo({duration:300,zoom:r.getZoom()+(t.shiftKey?-1:1),around:r.unproject(e)},{originalEvent:t})}}},mi.prototype.enable=function(){this._enabled=!0},mi.prototype.disable=function(){this._enabled=!1,this.reset()},mi.prototype.isEnabled=function(){return this._enabled},mi.prototype.isActive=function(){return this._active};var xi=function(){this._tap=new Kn({numTouches:1,numTaps:1}),this.reset()};xi.prototype.reset=function(){this._active=!1,delete this._swipePoint,delete this._swipeTouch,delete this._tapTime,this._tap.reset()},xi.prototype.touchstart=function(t,e,r){this._swipePoint||(this._tapTime&&t.timeStamp-this._tapTime>500&&this.reset(),this._tapTime?r.length>0&&(this._swipePoint=e[0],this._swipeTouch=r[0].identifier):this._tap.touchstart(t,e,r))},xi.prototype.touchmove=function(t,e,r){if(this._tapTime){if(this._swipePoint){if(r[0].identifier!==this._swipeTouch)return;var n=e[0],i=n.y-this._swipePoint.y;return this._swipePoint=n,t.preventDefault(),this._active=!0,{zoomDelta:i/128}}}else this._tap.touchmove(t,e,r)},xi.prototype.touchend=function(t,e,r){this._tapTime?this._swipePoint&&0===r.length&&this.reset():this._tap.touchend(t,e,r)&&(this._tapTime=t.timeStamp)},xi.prototype.touchcancel=function(){this.reset()},xi.prototype.enable=function(){this._enabled=!0},xi.prototype.disable=function(){this._enabled=!1,this.reset()},xi.prototype.isEnabled=function(){return this._enabled},xi.prototype.isActive=function(){return this._active};var bi=function(t,e,r){this._el=t,this._mousePan=e,this._touchPan=r};bi.prototype.enable=function(t){this._inertiaOptions=t||{},this._mousePan.enable(),this._touchPan.enable(),this._el.classList.add("mapboxgl-touch-drag-pan")},bi.prototype.disable=function(){this._mousePan.disable(),this._touchPan.disable(),this._el.classList.remove("mapboxgl-touch-drag-pan")},bi.prototype.isEnabled=function(){return this._mousePan.isEnabled()&&this._touchPan.isEnabled()},bi.prototype.isActive=function(){return this._mousePan.isActive()||this._touchPan.isActive()};var _i=function(t,e,r){this._pitchWithRotate=t.pitchWithRotate,this._mouseRotate=e,this._mousePitch=r};_i.prototype.enable=function(){this._mouseRotate.enable(),this._pitchWithRotate&&this._mousePitch.enable()},_i.prototype.disable=function(){this._mouseRotate.disable(),this._mousePitch.disable()},_i.prototype.isEnabled=function(){return this._mouseRotate.isEnabled()&&(!this._pitchWithRotate||this._mousePitch.isEnabled())},_i.prototype.isActive=function(){return this._mouseRotate.isActive()||this._mousePitch.isActive()};var wi=function(t,e,r,n){this._el=t,this._touchZoom=e,this._touchRotate=r,this._tapDragZoom=n,this._rotationDisabled=!1,this._enabled=!0};wi.prototype.enable=function(t){this._touchZoom.enable(t),this._rotationDisabled||this._touchRotate.enable(t),this._tapDragZoom.enable(),this._el.classList.add("mapboxgl-touch-zoom-rotate")},wi.prototype.disable=function(){this._touchZoom.disable(),this._touchRotate.disable(),this._tapDragZoom.disable(),this._el.classList.remove("mapboxgl-touch-zoom-rotate")},wi.prototype.isEnabled=function(){return this._touchZoom.isEnabled()&&(this._rotationDisabled||this._touchRotate.isEnabled())&&this._tapDragZoom.isEnabled()},wi.prototype.isActive=function(){return this._touchZoom.isActive()||this._touchRotate.isActive()||this._tapDragZoom.isActive()},wi.prototype.disableRotation=function(){this._rotationDisabled=!0,this._touchRotate.disable()},wi.prototype.enableRotation=function(){this._rotationDisabled=!1,this._touchZoom.isEnabled()&&this._touchRotate.enable()};var Ti=function(t){return t.zoom||t.drag||t.pitch||t.rotate},ki=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e}(t.Event);function Ai(t){return t.panDelta&&t.panDelta.mag()||t.zoomDelta||t.bearingDelta||t.pitchDelta}var Mi=function(e,n){this._map=e,this._el=this._map.getCanvasContainer(),this._handlers=[],this._handlersById={},this._changes=[],this._inertia=new Nn(e),this._bearingSnap=n.bearingSnap,this._previousActiveHandlers={},this._eventsInProgress={},this._addDefaultHandlers(n),t.bindAll(["handleEvent","handleWindowEvent"],this);var i=this._el;this._listeners=[[i,"touchstart",{passive:!0}],[i,"touchmove",{passive:!1}],[i,"touchend",void 0],[i,"touchcancel",void 0],[i,"mousedown",void 0],[i,"mousemove",void 0],[i,"mouseup",void 0],[t.window.document,"mousemove",{capture:!0}],[t.window.document,"mouseup",void 0],[i,"mouseover",void 0],[i,"mouseout",void 0],[i,"dblclick",void 0],[i,"click",void 0],[i,"keydown",{capture:!1}],[i,"keyup",void 0],[i,"wheel",{passive:!1}],[i,"contextmenu",void 0],[t.window,"blur",void 0]];for(var a=0,o=this._listeners;aa?Math.min(2,_):Math.max(.5,_),w=Math.pow(g,1-e),T=i.unproject(x.add(b.mult(e*w)).mult(v));i.setLocationAtPoint(i.renderWorldCopies?T.wrap():T,d)}n._fireMoveEvents(r)}),(function(t){n._afterEase(r,t)}),e),this},r.prototype._prepareEase=function(e,r,n){void 0===n&&(n={}),this._moving=!0,r||n.moving||this.fire(new t.Event("movestart",e)),this._zooming&&!n.zooming&&this.fire(new t.Event("zoomstart",e)),this._rotating&&!n.rotating&&this.fire(new t.Event("rotatestart",e)),this._pitching&&!n.pitching&&this.fire(new t.Event("pitchstart",e))},r.prototype._fireMoveEvents=function(e){this.fire(new t.Event("move",e)),this._zooming&&this.fire(new t.Event("zoom",e)),this._rotating&&this.fire(new t.Event("rotate",e)),this._pitching&&this.fire(new t.Event("pitch",e))},r.prototype._afterEase=function(e,r){if(!this._easeId||!r||this._easeId!==r){delete this._easeId;var n=this._zooming,i=this._rotating,a=this._pitching;this._moving=!1,this._zooming=!1,this._rotating=!1,this._pitching=!1,this._padding=!1,n&&this.fire(new t.Event("zoomend",e)),i&&this.fire(new t.Event("rotateend",e)),a&&this.fire(new t.Event("pitchend",e)),this.fire(new t.Event("moveend",e))}},r.prototype.flyTo=function(e,r){var n=this;if(!e.essential&&t.browser.prefersReducedMotion){var i=t.pick(e,["center","zoom","bearing","pitch","around"]);return this.jumpTo(i,r)}this.stop(),e=t.extend({offset:[0,0],speed:1.2,curve:1.42,easing:t.ease},e);var a=this.transform,o=this.getZoom(),s=this.getBearing(),l=this.getPitch(),u=this.getPadding(),c="zoom"in e?t.clamp(+e.zoom,a.minZoom,a.maxZoom):o,f="bearing"in e?this._normalizeBearing(e.bearing,s):s,h="pitch"in e?+e.pitch:l,p="padding"in e?e.padding:a.padding,d=a.zoomScale(c-o),v=t.Point.convert(e.offset),g=a.centerPoint.add(v),y=a.pointLocation(g),m=t.LngLat.convert(e.center||y);this._normalizeCenter(m);var x=a.project(y),b=a.project(m).sub(x),_=e.curve,w=Math.max(a.width,a.height),T=w/d,k=b.mag();if("minZoom"in e){var A=t.clamp(Math.min(e.minZoom,o,c),a.minZoom,a.maxZoom),M=w/a.zoomScale(A-o);_=Math.sqrt(M/k*2)}var S=_*_;function E(t){var e=(T*T-w*w+(t?-1:1)*S*S*k*k)/(2*(t?T:w)*S*k);return Math.log(Math.sqrt(e*e+1)-e)}function L(t){return(Math.exp(t)-Math.exp(-t))/2}function C(t){return(Math.exp(t)+Math.exp(-t))/2}var P=E(0),O=function(t){return C(P)/C(P+_*t)},I=function(t){return w*((C(P)*(L(e=P+_*t)/C(e))-L(P))/S)/k;var e},D=(E(1)-P)/_;if(Math.abs(k)<1e-6||!isFinite(D)){if(Math.abs(w-T)<1e-6)return this.easeTo(e,r);var z=Te.maxDuration&&(e.duration=0),this._zooming=!0,this._rotating=s!==f,this._pitching=h!==l,this._padding=!a.isPaddingEqual(p),this._prepareEase(r,!1),this._ease((function(e){var i=e*D,d=1/O(i);a.zoom=1===e?c:o+a.scaleZoom(d),n._rotating&&(a.bearing=t.number(s,f,e)),n._pitching&&(a.pitch=t.number(l,h,e)),n._padding&&(a.interpolatePadding(u,p,e),g=a.centerPoint.add(v));var y=1===e?m:a.unproject(x.add(b.mult(I(i))).mult(d));a.setLocationAtPoint(a.renderWorldCopies?y.wrap():y,g),n._fireMoveEvents(r)}),(function(){return n._afterEase(r)}),e),this},r.prototype.isEasing=function(){return!!this._easeFrameId},r.prototype.stop=function(){return this._stop()},r.prototype._stop=function(t,e){if(this._easeFrameId&&(this._cancelRenderFrame(this._easeFrameId),delete this._easeFrameId,delete this._onEaseFrame),this._onEaseEnd){var r=this._onEaseEnd;delete this._onEaseEnd,r.call(this,e)}if(!t){var n=this.handlers;n&&n.stop(!1)}return this},r.prototype._ease=function(e,r,n){!1===n.animate||0===n.duration?(e(1),r()):(this._easeStart=t.browser.now(),this._easeOptions=n,this._onEaseFrame=e,this._onEaseEnd=r,this._easeFrameId=this._requestRenderFrame(this._renderFrameCallback))},r.prototype._renderFrameCallback=function(){var e=Math.min((t.browser.now()-this._easeStart)/this._easeOptions.duration,1);this._onEaseFrame(this._easeOptions.easing(e)),e<1?this._easeFrameId=this._requestRenderFrame(this._renderFrameCallback):this.stop()},r.prototype._normalizeBearing=function(e,r){e=t.wrap(e,-180,180);var n=Math.abs(e-r);return Math.abs(e-360-r)180?-360:r<-180?360:0}},r}(t.Evented),Ei=function(e){void 0===e&&(e={}),this.options=e,t.bindAll(["_toggleAttribution","_updateEditLink","_updateData","_updateCompact"],this)};Ei.prototype.getDefaultPosition=function(){return"bottom-right"},Ei.prototype.onAdd=function(t){var e=this.options&&this.options.compact;return this._map=t,this._container=r.create("div","mapboxgl-ctrl mapboxgl-ctrl-attrib"),this._compactButton=r.create("button","mapboxgl-ctrl-attrib-button",this._container),this._compactButton.addEventListener("click",this._toggleAttribution),this._setElementTitle(this._compactButton,"ToggleAttribution"),this._innerContainer=r.create("div","mapboxgl-ctrl-attrib-inner",this._container),this._innerContainer.setAttribute("role","list"),e&&this._container.classList.add("mapboxgl-compact"),this._updateAttributions(),this._updateEditLink(),this._map.on("styledata",this._updateData),this._map.on("sourcedata",this._updateData),this._map.on("moveend",this._updateEditLink),void 0===e&&(this._map.on("resize",this._updateCompact),this._updateCompact()),this._container},Ei.prototype.onRemove=function(){r.remove(this._container),this._map.off("styledata",this._updateData),this._map.off("sourcedata",this._updateData),this._map.off("moveend",this._updateEditLink),this._map.off("resize",this._updateCompact),this._map=void 0,this._attribHTML=void 0},Ei.prototype._setElementTitle=function(t,e){var r=this._map._getUIString("AttributionControl."+e);t.title=r,t.setAttribute("aria-label",r)},Ei.prototype._toggleAttribution=function(){this._container.classList.contains("mapboxgl-compact-show")?(this._container.classList.remove("mapboxgl-compact-show"),this._compactButton.setAttribute("aria-pressed","false")):(this._container.classList.add("mapboxgl-compact-show"),this._compactButton.setAttribute("aria-pressed","true"))},Ei.prototype._updateEditLink=function(){var e=this._editLink;e||(e=this._editLink=this._container.querySelector(".mapbox-improve-map"));var r=[{key:"owner",value:this.styleOwner},{key:"id",value:this.styleId},{key:"access_token",value:this._map._requestManager._customAccessToken||t.config.ACCESS_TOKEN}];if(e){var n=r.reduce((function(t,e,n){return e.value&&(t+=e.key+"="+e.value+(n=0)return!1;return!0}))).join(" | ");o!==this._attribHTML&&(this._attribHTML=o,t.length?(this._innerContainer.innerHTML=o,this._container.classList.remove("mapboxgl-attrib-empty")):this._container.classList.add("mapboxgl-attrib-empty"),this._editLink=null)}},Ei.prototype._updateCompact=function(){this._map.getCanvasContainer().offsetWidth<=640?this._container.classList.add("mapboxgl-compact"):this._container.classList.remove("mapboxgl-compact","mapboxgl-compact-show")};var Li=function(){t.bindAll(["_updateLogo"],this),t.bindAll(["_updateCompact"],this)};Li.prototype.onAdd=function(t){this._map=t,this._container=r.create("div","mapboxgl-ctrl");var e=r.create("a","mapboxgl-ctrl-logo");return e.target="_blank",e.rel="noopener nofollow",e.href="https://www.mapbox.com/",e.setAttribute("aria-label",this._map._getUIString("LogoControl.Title")),e.setAttribute("rel","noopener nofollow"),this._container.appendChild(e),this._container.style.display="none",this._map.on("sourcedata",this._updateLogo),this._updateLogo(),this._map.on("resize",this._updateCompact),this._updateCompact(),this._container},Li.prototype.onRemove=function(){r.remove(this._container),this._map.off("sourcedata",this._updateLogo),this._map.off("resize",this._updateCompact)},Li.prototype.getDefaultPosition=function(){return"bottom-left"},Li.prototype._updateLogo=function(t){t&&"metadata"!==t.sourceDataType||(this._container.style.display=this._logoRequired()?"block":"none")},Li.prototype._logoRequired=function(){if(this._map.style){var t=this._map.style.sourceCaches;for(var e in t)if(t[e].getSource().mapbox_logo)return!0;return!1}},Li.prototype._updateCompact=function(){var t=this._container.children;if(t.length){var e=t[0];this._map.getCanvasContainer().offsetWidth<250?e.classList.add("mapboxgl-compact"):e.classList.remove("mapboxgl-compact")}};var Ci=function(){this._queue=[],this._id=0,this._cleared=!1,this._currentlyRunning=!1};Ci.prototype.add=function(t){var e=++this._id;return this._queue.push({callback:t,id:e,cancelled:!1}),e},Ci.prototype.remove=function(t){for(var e=this._currentlyRunning,r=0,n=e?this._queue.concat(e):this._queue;re.maxZoom)throw new Error("maxZoom must be greater than or equal to minZoom");if(null!=e.minPitch&&null!=e.maxPitch&&e.minPitch>e.maxPitch)throw new Error("maxPitch must be greater than or equal to minPitch");if(null!=e.minPitch&&e.minPitch<0)throw new Error("minPitch must be greater than or equal to 0");if(null!=e.maxPitch&&e.maxPitch>zi)throw new Error("maxPitch must be less than or equal to 60");var i=new Pn(e.minZoom,e.maxZoom,e.minPitch,e.maxPitch,e.renderWorldCopies);if(n.call(this,i,e),this._interactive=e.interactive,this._maxTileCacheSize=e.maxTileCacheSize,this._failIfMajorPerformanceCaveat=e.failIfMajorPerformanceCaveat,this._preserveDrawingBuffer=e.preserveDrawingBuffer,this._antialias=e.antialias,this._trackResize=e.trackResize,this._bearingSnap=e.bearingSnap,this._refreshExpiredTiles=e.refreshExpiredTiles,this._fadeDuration=e.fadeDuration,this._crossSourceCollisions=e.crossSourceCollisions,this._crossFadingFactor=1,this._collectResourceTiming=e.collectResourceTiming,this._renderTaskQueue=new Ci,this._controls=[],this._mapId=t.uniqueId(),this._locale=t.extend({},Pi,e.locale),this._clickTolerance=e.clickTolerance,this._requestManager=new t.RequestManager(e.transformRequest,e.accessToken),"string"==typeof e.container){if(this._container=t.window.document.getElementById(e.container),!this._container)throw new Error("Container '"+e.container+"' not found.")}else{if(!(e.container instanceof Ii))throw new Error("Invalid type: 'container' must be a String or HTMLElement.");this._container=e.container}if(e.maxBounds&&this.setMaxBounds(e.maxBounds),t.bindAll(["_onWindowOnline","_onWindowResize","_onMapScroll","_contextLost","_contextRestored"],this),this._setupContainer(),this._setupPainter(),void 0===this.painter)throw new Error("Failed to initialize WebGL.");this.on("move",(function(){return r._update(!1)})),this.on("moveend",(function(){return r._update(!1)})),this.on("zoom",(function(){return r._update(!0)})),void 0!==t.window&&(t.window.addEventListener("online",this._onWindowOnline,!1),t.window.addEventListener("resize",this._onWindowResize,!1),t.window.addEventListener("orientationchange",this._onWindowResize,!1)),this.handlers=new Mi(this,e);var a="string"==typeof e.hash&&e.hash||void 0;this._hash=e.hash&&new In(a).addTo(this),this._hash&&this._hash._onHashChange()||(this.jumpTo({center:e.center,zoom:e.zoom,bearing:e.bearing,pitch:e.pitch}),e.bounds&&(this.resize(),this.fitBounds(e.bounds,t.extend({},e.fitBoundsOptions,{duration:0})))),this.resize(),this._localIdeographFontFamily=e.localIdeographFontFamily,e.style&&this.setStyle(e.style,{localIdeographFontFamily:e.localIdeographFontFamily}),e.attributionControl&&this.addControl(new Ei({customAttribution:e.customAttribution})),this.addControl(new Li,e.logoPosition),this.on("style.load",(function(){r.transform.unmodified&&r.jumpTo(r.style.stylesheet)})),this.on("data",(function(e){r._update("style"===e.dataType),r.fire(new t.Event(e.dataType+"data",e))})),this.on("dataloading",(function(e){r.fire(new t.Event(e.dataType+"dataloading",e))}))}n&&(i.__proto__=n),i.prototype=Object.create(n&&n.prototype),i.prototype.constructor=i;var a={showTileBoundaries:{configurable:!0},showPadding:{configurable:!0},showCollisionBoxes:{configurable:!0},showOverdrawInspector:{configurable:!0},repaint:{configurable:!0},vertices:{configurable:!0},version:{configurable:!0}};return i.prototype._getMapId=function(){return this._mapId},i.prototype.addControl=function(e,r){if(void 0===r&&(r=e.getDefaultPosition?e.getDefaultPosition():"top-right"),!e||!e.onAdd)return this.fire(new t.ErrorEvent(new Error("Invalid argument to map.addControl(). Argument must be a control with onAdd and onRemove methods.")));var n=e.onAdd(this);this._controls.push(e);var i=this._controlPositions[r];return-1!==r.indexOf("bottom")?i.insertBefore(n,i.firstChild):i.appendChild(n),this},i.prototype.removeControl=function(e){if(!e||!e.onRemove)return this.fire(new t.ErrorEvent(new Error("Invalid argument to map.removeControl(). Argument must be a control with onAdd and onRemove methods.")));var r=this._controls.indexOf(e);return r>-1&&this._controls.splice(r,1),e.onRemove(this),this},i.prototype.hasControl=function(t){return this._controls.indexOf(t)>-1},i.prototype.resize=function(e){var r=this._containerDimensions(),n=r[0],i=r[1];this._resizeCanvas(n,i),this.transform.resize(n,i),this.painter.resize(n,i);var a=!this._moving;return a&&(this.stop(),this.fire(new t.Event("movestart",e)).fire(new t.Event("move",e))),this.fire(new t.Event("resize",e)),a&&this.fire(new t.Event("moveend",e)),this},i.prototype.getBounds=function(){return this.transform.getBounds()},i.prototype.getMaxBounds=function(){return this.transform.getMaxBounds()},i.prototype.setMaxBounds=function(e){return this.transform.setMaxBounds(t.LngLatBounds.convert(e)),this._update()},i.prototype.setMinZoom=function(t){if((t=null==t?-2:t)>=-2&&t<=this.transform.maxZoom)return this.transform.minZoom=t,this._update(),this.getZoom()=this.transform.minZoom)return this.transform.maxZoom=t,this._update(),this.getZoom()>t&&this.setZoom(t),this;throw new Error("maxZoom must be greater than the current minZoom")},i.prototype.getMaxZoom=function(){return this.transform.maxZoom},i.prototype.setMinPitch=function(t){if((t=null==t?0:t)<0)throw new Error("minPitch must be greater than or equal to 0");if(t>=0&&t<=this.transform.maxPitch)return this.transform.minPitch=t,this._update(),this.getPitch()zi)throw new Error("maxPitch must be less than or equal to 60");if(t>=this.transform.minPitch)return this.transform.maxPitch=t,this._update(),this.getPitch()>t&&this.setPitch(t),this;throw new Error("maxPitch must be greater than the current minPitch")},i.prototype.getMaxPitch=function(){return this.transform.maxPitch},i.prototype.getRenderWorldCopies=function(){return this.transform.renderWorldCopies},i.prototype.setRenderWorldCopies=function(t){return this.transform.renderWorldCopies=t,this._update()},i.prototype.project=function(e){return this.transform.locationPoint(t.LngLat.convert(e))},i.prototype.unproject=function(e){return this.transform.pointLocation(t.Point.convert(e))},i.prototype.isMoving=function(){return this._moving||this.handlers.isMoving()},i.prototype.isZooming=function(){return this._zooming||this.handlers.isZooming()},i.prototype.isRotating=function(){return this._rotating||this.handlers.isRotating()},i.prototype._createDelegatedListener=function(t,e,r){var n,i=this;if("mouseenter"===t||"mouseover"===t){var a=!1;return{layer:e,listener:r,delegates:{mousemove:function(n){var o=i.getLayer(e)?i.queryRenderedFeatures(n.point,{layers:[e]}):[];o.length?a||(a=!0,r.call(i,new Vn(t,i,n.originalEvent,{features:o}))):a=!1},mouseout:function(){a=!1}}}}if("mouseleave"===t||"mouseout"===t){var o=!1;return{layer:e,listener:r,delegates:{mousemove:function(n){(i.getLayer(e)?i.queryRenderedFeatures(n.point,{layers:[e]}):[]).length?o=!0:o&&(o=!1,r.call(i,new Vn(t,i,n.originalEvent)))},mouseout:function(e){o&&(o=!1,r.call(i,new Vn(t,i,e.originalEvent)))}}}}return{layer:e,listener:r,delegates:(n={},n[t]=function(t){var n=i.getLayer(e)?i.queryRenderedFeatures(t.point,{layers:[e]}):[];n.length&&(t.features=n,r.call(i,t),delete t.features)},n)}},i.prototype.on=function(t,e,r){if(void 0===r)return n.prototype.on.call(this,t,e);var i=this._createDelegatedListener(t,e,r);for(var a in this._delegatedListeners=this._delegatedListeners||{},this._delegatedListeners[t]=this._delegatedListeners[t]||[],this._delegatedListeners[t].push(i),i.delegates)this.on(a,i.delegates[a]);return this},i.prototype.once=function(t,e,r){if(void 0===r)return n.prototype.once.call(this,t,e);var i=this._createDelegatedListener(t,e,r);for(var a in i.delegates)this.once(a,i.delegates[a]);return this},i.prototype.off=function(t,e,r){var i=this;if(void 0===r)return n.prototype.off.call(this,t,e);return this._delegatedListeners&&this._delegatedListeners[t]&&function(n){for(var a=n[t],o=0;o180;){var s=n.locationPoint(e);if(s.x>=0&&s.y>=0&&s.x<=n.width&&s.y<=n.height)break;e.lng>n.center.lng?e.lng-=360:e.lng+=360}return e}Ui.prototype.down=function(t,e){this.mouseRotate.mousedown(t,e),this.mousePitch&&this.mousePitch.mousedown(t,e),r.disableDrag()},Ui.prototype.move=function(t,e){var r=this.map,n=this.mouseRotate.mousemoveWindow(t,e);if(n&&n.bearingDelta&&r.setBearing(r.getBearing()+n.bearingDelta),this.mousePitch){var i=this.mousePitch.mousemoveWindow(t,e);i&&i.pitchDelta&&r.setPitch(r.getPitch()+i.pitchDelta)}},Ui.prototype.off=function(){var t=this.element;r.removeEventListener(t,"mousedown",this.mousedown),r.removeEventListener(t,"touchstart",this.touchstart,{passive:!1}),r.removeEventListener(t,"touchmove",this.touchmove),r.removeEventListener(t,"touchend",this.touchend),r.removeEventListener(t,"touchcancel",this.reset),this.offTemp()},Ui.prototype.offTemp=function(){r.enableDrag(),r.removeEventListener(t.window,"mousemove",this.mousemove),r.removeEventListener(t.window,"mouseup",this.mouseup)},Ui.prototype.mousedown=function(e){this.down(t.extend({},e,{ctrlKey:!0,preventDefault:function(){return e.preventDefault()}}),r.mousePos(this.element,e)),r.addEventListener(t.window,"mousemove",this.mousemove),r.addEventListener(t.window,"mouseup",this.mouseup)},Ui.prototype.mousemove=function(t){this.move(t,r.mousePos(this.element,t))},Ui.prototype.mouseup=function(t){this.mouseRotate.mouseupWindow(t),this.mousePitch&&this.mousePitch.mouseupWindow(t),this.offTemp()},Ui.prototype.touchstart=function(t){1!==t.targetTouches.length?this.reset():(this._startPos=this._lastPos=r.touchPos(this.element,t.targetTouches)[0],this.down({type:"mousedown",button:0,ctrlKey:!0,preventDefault:function(){return t.preventDefault()}},this._startPos))},Ui.prototype.touchmove=function(t){1!==t.targetTouches.length?this.reset():(this._lastPos=r.touchPos(this.element,t.targetTouches)[0],this.move({preventDefault:function(){return t.preventDefault()}},this._lastPos))},Ui.prototype.touchend=function(t){0===t.targetTouches.length&&this._startPos&&this._lastPos&&this._startPos.dist(this._lastPos)=r}this._isDragging&&(this._pos=e.point.sub(this._positionDelta),this._lngLat=this._map.unproject(this._pos),this.setLngLat(this._lngLat),this._element.style.pointerEvents="none","pending"===this._state&&(this._state="active",this.fire(new t.Event("dragstart"))),this.fire(new t.Event("drag")))},n.prototype._onUp=function(){this._element.style.pointerEvents="auto",this._positionDelta=null,this._pointerdownPos=null,this._isDragging=!1,this._map.off("mousemove",this._onMove),this._map.off("touchmove",this._onMove),"active"===this._state&&this.fire(new t.Event("dragend")),this._state="inactive"},n.prototype._addDragHandler=function(t){this._element.contains(t.originalEvent.target)&&(t.preventDefault(),this._positionDelta=t.point.sub(this._pos).add(this._offset),this._pointerdownPos=t.point,this._state="pending",this._map.on("mousemove",this._onMove),this._map.on("touchmove",this._onMove),this._map.once("mouseup",this._onUp),this._map.once("touchend",this._onUp))},n.prototype.setDraggable=function(t){return this._draggable=!!t,this._map&&(t?(this._map.on("mousedown",this._addDragHandler),this._map.on("touchstart",this._addDragHandler)):(this._map.off("mousedown",this._addDragHandler),this._map.off("touchstart",this._addDragHandler))),this},n.prototype.isDraggable=function(){return this._draggable},n.prototype.setRotation=function(t){return this._rotation=t||0,this._update(),this},n.prototype.getRotation=function(){return this._rotation},n.prototype.setRotationAlignment=function(t){return this._rotationAlignment=t||"auto",this._update(),this},n.prototype.getRotationAlignment=function(){return this._rotationAlignment},n.prototype.setPitchAlignment=function(t){return this._pitchAlignment=t&&"auto"!==t?t:this._rotationAlignment,this._update(),this},n.prototype.getPitchAlignment=function(){return this._pitchAlignment},n}(t.Evented),Yi={positionOptions:{enableHighAccuracy:!1,maximumAge:0,timeout:6e3},fitBoundsOptions:{maxZoom:15},trackUserLocation:!1,showAccuracyCircle:!0,showUserLocation:!0};var Xi=0,Zi=!1,Ki=function(e){function n(r){e.call(this),this.options=t.extend({},Yi,r),t.bindAll(["_onSuccess","_onError","_onZoom","_finish","_setupUI","_updateCamera","_updateMarker"],this)}return e&&(n.__proto__=e),n.prototype=Object.create(e&&e.prototype),n.prototype.constructor=n,n.prototype.onAdd=function(e){return this._map=e,this._container=r.create("div","mapboxgl-ctrl mapboxgl-ctrl-group"),n=this._setupUI,void 0!==Gi?n(Gi):void 0!==t.window.navigator.permissions?t.window.navigator.permissions.query({name:"geolocation"}).then((function(t){Gi="denied"!==t.state,n(Gi)})):(Gi=!!t.window.navigator.geolocation,n(Gi)),this._container;var n},n.prototype.onRemove=function(){void 0!==this._geolocationWatchID&&(t.window.navigator.geolocation.clearWatch(this._geolocationWatchID),this._geolocationWatchID=void 0),this.options.showUserLocation&&this._userLocationDotMarker&&this._userLocationDotMarker.remove(),this.options.showAccuracyCircle&&this._accuracyCircleMarker&&this._accuracyCircleMarker.remove(),r.remove(this._container),this._map.off("zoom",this._onZoom),this._map=void 0,Xi=0,Zi=!1},n.prototype._isOutOfMapMaxBounds=function(t){var e=this._map.getMaxBounds(),r=t.coords;return e&&(r.longitudee.getEast()||r.latitudee.getNorth())},n.prototype._setErrorState=function(){switch(this._watchState){case"WAITING_ACTIVE":this._watchState="ACTIVE_ERROR",this._geolocateButton.classList.remove("mapboxgl-ctrl-geolocate-active"),this._geolocateButton.classList.add("mapboxgl-ctrl-geolocate-active-error");break;case"ACTIVE_LOCK":this._watchState="ACTIVE_ERROR",this._geolocateButton.classList.remove("mapboxgl-ctrl-geolocate-active"),this._geolocateButton.classList.add("mapboxgl-ctrl-geolocate-active-error"),this._geolocateButton.classList.add("mapboxgl-ctrl-geolocate-waiting");break;case"BACKGROUND":this._watchState="BACKGROUND_ERROR",this._geolocateButton.classList.remove("mapboxgl-ctrl-geolocate-background"),this._geolocateButton.classList.add("mapboxgl-ctrl-geolocate-background-error"),this._geolocateButton.classList.add("mapboxgl-ctrl-geolocate-waiting")}},n.prototype._onSuccess=function(e){if(this._map){if(this._isOutOfMapMaxBounds(e))return this._setErrorState(),this.fire(new t.Event("outofmaxbounds",e)),this._updateMarker(),void this._finish();if(this.options.trackUserLocation)switch(this._lastKnownPosition=e,this._watchState){case"WAITING_ACTIVE":case"ACTIVE_LOCK":case"ACTIVE_ERROR":this._watchState="ACTIVE_LOCK",this._geolocateButton.classList.remove("mapboxgl-ctrl-geolocate-waiting"),this._geolocateButton.classList.remove("mapboxgl-ctrl-geolocate-active-error"),this._geolocateButton.classList.add("mapboxgl-ctrl-geolocate-active");break;case"BACKGROUND":case"BACKGROUND_ERROR":this._watchState="BACKGROUND",this._geolocateButton.classList.remove("mapboxgl-ctrl-geolocate-waiting"),this._geolocateButton.classList.remove("mapboxgl-ctrl-geolocate-background-error"),this._geolocateButton.classList.add("mapboxgl-ctrl-geolocate-background")}this.options.showUserLocation&&"OFF"!==this._watchState&&this._updateMarker(e),this.options.trackUserLocation&&"ACTIVE_LOCK"!==this._watchState||this._updateCamera(e),this.options.showUserLocation&&this._dotElement.classList.remove("mapboxgl-user-location-dot-stale"),this.fire(new t.Event("geolocate",e)),this._finish()}},n.prototype._updateCamera=function(e){var r=new t.LngLat(e.coords.longitude,e.coords.latitude),n=e.coords.accuracy,i=this._map.getBearing(),a=t.extend({bearing:i},this.options.fitBoundsOptions);this._map.fitBounds(r.toBounds(n),a,{geolocateSource:!0})},n.prototype._updateMarker=function(e){if(e){var r=new t.LngLat(e.coords.longitude,e.coords.latitude);this._accuracyCircleMarker.setLngLat(r).addTo(this._map),this._userLocationDotMarker.setLngLat(r).addTo(this._map),this._accuracy=e.coords.accuracy,this.options.showUserLocation&&this.options.showAccuracyCircle&&this._updateCircleRadius()}else this._userLocationDotMarker.remove(),this._accuracyCircleMarker.remove()},n.prototype._updateCircleRadius=function(){var t=this._map._container.clientHeight/2,e=this._map.unproject([0,t]),r=this._map.unproject([1,t]),n=e.distanceTo(r),i=Math.ceil(2*this._accuracy/n);this._circleElement.style.width=i+"px",this._circleElement.style.height=i+"px"},n.prototype._onZoom=function(){this.options.showUserLocation&&this.options.showAccuracyCircle&&this._updateCircleRadius()},n.prototype._onError=function(e){if(this._map){if(this.options.trackUserLocation)if(1===e.code){this._watchState="OFF",this._geolocateButton.classList.remove("mapboxgl-ctrl-geolocate-waiting"),this._geolocateButton.classList.remove("mapboxgl-ctrl-geolocate-active"),this._geolocateButton.classList.remove("mapboxgl-ctrl-geolocate-active-error"),this._geolocateButton.classList.remove("mapboxgl-ctrl-geolocate-background"),this._geolocateButton.classList.remove("mapboxgl-ctrl-geolocate-background-error"),this._geolocateButton.disabled=!0;var r=this._map._getUIString("GeolocateControl.LocationNotAvailable");this._geolocateButton.title=r,this._geolocateButton.setAttribute("aria-label",r),void 0!==this._geolocationWatchID&&this._clearWatch()}else{if(3===e.code&&Zi)return;this._setErrorState()}"OFF"!==this._watchState&&this.options.showUserLocation&&this._dotElement.classList.add("mapboxgl-user-location-dot-stale"),this.fire(new t.Event("error",e)),this._finish()}},n.prototype._finish=function(){this._timeoutId&&clearTimeout(this._timeoutId),this._timeoutId=void 0},n.prototype._setupUI=function(e){var n=this;if(this._container.addEventListener("contextmenu",(function(t){return t.preventDefault()})),this._geolocateButton=r.create("button","mapboxgl-ctrl-geolocate",this._container),r.create("span","mapboxgl-ctrl-icon",this._geolocateButton).setAttribute("aria-hidden",!0),this._geolocateButton.type="button",!1===e){t.warnOnce("Geolocation support is not available so the GeolocateControl will be disabled.");var i=this._map._getUIString("GeolocateControl.LocationNotAvailable");this._geolocateButton.disabled=!0,this._geolocateButton.title=i,this._geolocateButton.setAttribute("aria-label",i)}else{var a=this._map._getUIString("GeolocateControl.FindMyLocation");this._geolocateButton.title=a,this._geolocateButton.setAttribute("aria-label",a)}this.options.trackUserLocation&&(this._geolocateButton.setAttribute("aria-pressed","false"),this._watchState="OFF"),this.options.showUserLocation&&(this._dotElement=r.create("div","mapboxgl-user-location-dot"),this._userLocationDotMarker=new Wi(this._dotElement),this._circleElement=r.create("div","mapboxgl-user-location-accuracy-circle"),this._accuracyCircleMarker=new Wi({element:this._circleElement,pitchAlignment:"map"}),this.options.trackUserLocation&&(this._watchState="OFF"),this._map.on("zoom",this._onZoom)),this._geolocateButton.addEventListener("click",this.trigger.bind(this)),this._setup=!0,this.options.trackUserLocation&&this._map.on("movestart",(function(e){var r=e.originalEvent&&"resize"===e.originalEvent.type;e.geolocateSource||"ACTIVE_LOCK"!==n._watchState||r||(n._watchState="BACKGROUND",n._geolocateButton.classList.add("mapboxgl-ctrl-geolocate-background"),n._geolocateButton.classList.remove("mapboxgl-ctrl-geolocate-active"),n.fire(new t.Event("trackuserlocationend")))}))},n.prototype.trigger=function(){if(!this._setup)return t.warnOnce("Geolocate control triggered before added to a map"),!1;if(this.options.trackUserLocation){switch(this._watchState){case"OFF":this._watchState="WAITING_ACTIVE",this.fire(new t.Event("trackuserlocationstart"));break;case"WAITING_ACTIVE":case"ACTIVE_LOCK":case"ACTIVE_ERROR":case"BACKGROUND_ERROR":Xi--,Zi=!1,this._watchState="OFF",this._geolocateButton.classList.remove("mapboxgl-ctrl-geolocate-waiting"),this._geolocateButton.classList.remove("mapboxgl-ctrl-geolocate-active"),this._geolocateButton.classList.remove("mapboxgl-ctrl-geolocate-active-error"),this._geolocateButton.classList.remove("mapboxgl-ctrl-geolocate-background"),this._geolocateButton.classList.remove("mapboxgl-ctrl-geolocate-background-error"),this.fire(new t.Event("trackuserlocationend"));break;case"BACKGROUND":this._watchState="ACTIVE_LOCK",this._geolocateButton.classList.remove("mapboxgl-ctrl-geolocate-background"),this._lastKnownPosition&&this._updateCamera(this._lastKnownPosition),this.fire(new t.Event("trackuserlocationstart"))}switch(this._watchState){case"WAITING_ACTIVE":this._geolocateButton.classList.add("mapboxgl-ctrl-geolocate-waiting"),this._geolocateButton.classList.add("mapboxgl-ctrl-geolocate-active");break;case"ACTIVE_LOCK":this._geolocateButton.classList.add("mapboxgl-ctrl-geolocate-active");break;case"ACTIVE_ERROR":this._geolocateButton.classList.add("mapboxgl-ctrl-geolocate-waiting"),this._geolocateButton.classList.add("mapboxgl-ctrl-geolocate-active-error");break;case"BACKGROUND":this._geolocateButton.classList.add("mapboxgl-ctrl-geolocate-background");break;case"BACKGROUND_ERROR":this._geolocateButton.classList.add("mapboxgl-ctrl-geolocate-waiting"),this._geolocateButton.classList.add("mapboxgl-ctrl-geolocate-background-error")}if("OFF"===this._watchState&&void 0!==this._geolocationWatchID)this._clearWatch();else if(void 0===this._geolocationWatchID){var e;this._geolocateButton.classList.add("mapboxgl-ctrl-geolocate-waiting"),this._geolocateButton.setAttribute("aria-pressed","true"),++Xi>1?(e={maximumAge:6e5,timeout:0},Zi=!0):(e=this.options.positionOptions,Zi=!1),this._geolocationWatchID=t.window.navigator.geolocation.watchPosition(this._onSuccess,this._onError,e)}}else t.window.navigator.geolocation.getCurrentPosition(this._onSuccess,this._onError,this.options.positionOptions),this._timeoutId=setTimeout(this._finish,1e4);return!0},n.prototype._clearWatch=function(){t.window.navigator.geolocation.clearWatch(this._geolocationWatchID),this._geolocationWatchID=void 0,this._geolocateButton.classList.remove("mapboxgl-ctrl-geolocate-waiting"),this._geolocateButton.setAttribute("aria-pressed","false"),this.options.showUserLocation&&this._updateMarker(null)},n}(t.Evented),Ji={maxWidth:100,unit:"metric"},$i=function(e){this.options=t.extend({},Ji,e),t.bindAll(["_onMove","setUnit"],this)};function Qi(t,e,r){var n=r&&r.maxWidth||100,i=t._container.clientHeight/2,a=t.unproject([0,i]),o=t.unproject([n,i]),s=a.distanceTo(o);if(r&&"imperial"===r.unit){var l=3.2808*s;l>5280?ta(e,n,l/5280,t._getUIString("ScaleControl.Miles")):ta(e,n,l,t._getUIString("ScaleControl.Feet"))}else r&&"nautical"===r.unit?ta(e,n,s/1852,t._getUIString("ScaleControl.NauticalMiles")):s>=1e3?ta(e,n,s/1e3,t._getUIString("ScaleControl.Kilometers")):ta(e,n,s,t._getUIString("ScaleControl.Meters"))}function ta(t,e,r,n){var i,a,o,s=(i=r,(a=Math.pow(10,(""+Math.floor(i)).length-1))*((o=i/a)>=10?10:o>=5?5:o>=3?3:o>=2?2:o>=1?1:function(t){var e=Math.pow(10,Math.ceil(-Math.log(t)/Math.LN10));return Math.round(t*e)/e}(o))),l=s/r;t.style.width=e*l+"px",t.innerHTML=s+" "+n}$i.prototype.getDefaultPosition=function(){return"bottom-left"},$i.prototype._onMove=function(){Qi(this._map,this._container,this.options)},$i.prototype.onAdd=function(t){return this._map=t,this._container=r.create("div","mapboxgl-ctrl mapboxgl-ctrl-scale",t.getContainer()),this._map.on("move",this._onMove),this._onMove(),this._container},$i.prototype.onRemove=function(){r.remove(this._container),this._map.off("move",this._onMove),this._map=void 0},$i.prototype.setUnit=function(t){this.options.unit=t,Qi(this._map,this._container,this.options)};var ea=function(e){this._fullscreen=!1,e&&e.container&&(e.container instanceof t.window.HTMLElement?this._container=e.container:t.warnOnce("Full screen control 'container' must be a DOM element.")),t.bindAll(["_onClickFullscreen","_changeIcon"],this),"onfullscreenchange"in t.window.document?this._fullscreenchange="fullscreenchange":"onmozfullscreenchange"in t.window.document?this._fullscreenchange="mozfullscreenchange":"onwebkitfullscreenchange"in t.window.document?this._fullscreenchange="webkitfullscreenchange":"onmsfullscreenchange"in t.window.document&&(this._fullscreenchange="MSFullscreenChange")};ea.prototype.onAdd=function(e){return this._map=e,this._container||(this._container=this._map.getContainer()),this._controlContainer=r.create("div","mapboxgl-ctrl mapboxgl-ctrl-group"),this._checkFullscreenSupport()?this._setupUI():(this._controlContainer.style.display="none",t.warnOnce("This device does not support fullscreen mode.")),this._controlContainer},ea.prototype.onRemove=function(){r.remove(this._controlContainer),this._map=null,t.window.document.removeEventListener(this._fullscreenchange,this._changeIcon)},ea.prototype._checkFullscreenSupport=function(){return!!(t.window.document.fullscreenEnabled||t.window.document.mozFullScreenEnabled||t.window.document.msFullscreenEnabled||t.window.document.webkitFullscreenEnabled)},ea.prototype._setupUI=function(){var e=this._fullscreenButton=r.create("button","mapboxgl-ctrl-fullscreen",this._controlContainer);r.create("span","mapboxgl-ctrl-icon",e).setAttribute("aria-hidden",!0),e.type="button",this._updateTitle(),this._fullscreenButton.addEventListener("click",this._onClickFullscreen),t.window.document.addEventListener(this._fullscreenchange,this._changeIcon)},ea.prototype._updateTitle=function(){var t=this._getTitle();this._fullscreenButton.setAttribute("aria-label",t),this._fullscreenButton.title=t},ea.prototype._getTitle=function(){return this._map._getUIString(this._isFullscreen()?"FullscreenControl.Exit":"FullscreenControl.Enter")},ea.prototype._isFullscreen=function(){return this._fullscreen},ea.prototype._changeIcon=function(){(t.window.document.fullscreenElement||t.window.document.mozFullScreenElement||t.window.document.webkitFullscreenElement||t.window.document.msFullscreenElement)===this._container!==this._fullscreen&&(this._fullscreen=!this._fullscreen,this._fullscreenButton.classList.toggle("mapboxgl-ctrl-shrink"),this._fullscreenButton.classList.toggle("mapboxgl-ctrl-fullscreen"),this._updateTitle())},ea.prototype._onClickFullscreen=function(){this._isFullscreen()?t.window.document.exitFullscreen?t.window.document.exitFullscreen():t.window.document.mozCancelFullScreen?t.window.document.mozCancelFullScreen():t.window.document.msExitFullscreen?t.window.document.msExitFullscreen():t.window.document.webkitCancelFullScreen&&t.window.document.webkitCancelFullScreen():this._container.requestFullscreen?this._container.requestFullscreen():this._container.mozRequestFullScreen?this._container.mozRequestFullScreen():this._container.msRequestFullscreen?this._container.msRequestFullscreen():this._container.webkitRequestFullscreen&&this._container.webkitRequestFullscreen()};var ra={closeButton:!0,closeOnClick:!0,focusAfterOpen:!0,className:"",maxWidth:"240px"},na=["a[href]","[tabindex]:not([tabindex='-1'])","[contenteditable]:not([contenteditable='false'])","button:not([disabled])","input:not([disabled])","select:not([disabled])","textarea:not([disabled])"].join(", "),ia=function(e){function n(r){e.call(this),this.options=t.extend(Object.create(ra),r),t.bindAll(["_update","_onClose","remove","_onMouseMove","_onMouseUp","_onDrag"],this)}return e&&(n.__proto__=e),n.prototype=Object.create(e&&e.prototype),n.prototype.constructor=n,n.prototype.addTo=function(e){return this._map&&this.remove(),this._map=e,this.options.closeOnClick&&this._map.on("click",this._onClose),this.options.closeOnMove&&this._map.on("move",this._onClose),this._map.on("remove",this.remove),this._update(),this._focusFirstElement(),this._trackPointer?(this._map.on("mousemove",this._onMouseMove),this._map.on("mouseup",this._onMouseUp),this._container&&this._container.classList.add("mapboxgl-popup-track-pointer"),this._map._canvasContainer.classList.add("mapboxgl-track-pointer")):this._map.on("move",this._update),this.fire(new t.Event("open")),this},n.prototype.isOpen=function(){return!!this._map},n.prototype.remove=function(){return this._content&&r.remove(this._content),this._container&&(r.remove(this._container),delete this._container),this._map&&(this._map.off("move",this._update),this._map.off("move",this._onClose),this._map.off("click",this._onClose),this._map.off("remove",this.remove),this._map.off("mousemove",this._onMouseMove),this._map.off("mouseup",this._onMouseUp),this._map.off("drag",this._onDrag),delete this._map),this.fire(new t.Event("close")),this},n.prototype.getLngLat=function(){return this._lngLat},n.prototype.setLngLat=function(e){return this._lngLat=t.LngLat.convert(e),this._pos=null,this._trackPointer=!1,this._update(),this._map&&(this._map.on("move",this._update),this._map.off("mousemove",this._onMouseMove),this._container&&this._container.classList.remove("mapboxgl-popup-track-pointer"),this._map._canvasContainer.classList.remove("mapboxgl-track-pointer")),this},n.prototype.trackPointer=function(){return this._trackPointer=!0,this._pos=null,this._update(),this._map&&(this._map.off("move",this._update),this._map.on("mousemove",this._onMouseMove),this._map.on("drag",this._onDrag),this._container&&this._container.classList.add("mapboxgl-popup-track-pointer"),this._map._canvasContainer.classList.add("mapboxgl-track-pointer")),this},n.prototype.getElement=function(){return this._container},n.prototype.setText=function(e){return this.setDOMContent(t.window.document.createTextNode(e))},n.prototype.setHTML=function(e){var r,n=t.window.document.createDocumentFragment(),i=t.window.document.createElement("body");for(i.innerHTML=e;r=i.firstChild;)n.appendChild(r);return this.setDOMContent(n)},n.prototype.getMaxWidth=function(){return this._container&&this._container.style.maxWidth},n.prototype.setMaxWidth=function(t){return this.options.maxWidth=t,this._update(),this},n.prototype.setDOMContent=function(t){if(this._content)for(;this._content.hasChildNodes();)this._content.firstChild&&this._content.removeChild(this._content.firstChild);else this._content=r.create("div","mapboxgl-popup-content",this._container);return this._content.appendChild(t),this._createCloseButton(),this._update(),this._focusFirstElement(),this},n.prototype.addClassName=function(t){this._container&&this._container.classList.add(t)},n.prototype.removeClassName=function(t){this._container&&this._container.classList.remove(t)},n.prototype.setOffset=function(t){return this.options.offset=t,this._update(),this},n.prototype.toggleClassName=function(t){if(this._container)return this._container.classList.toggle(t)},n.prototype._createCloseButton=function(){this.options.closeButton&&(this._closeButton=r.create("button","mapboxgl-popup-close-button",this._content),this._closeButton.type="button",this._closeButton.setAttribute("aria-label","Close popup"),this._closeButton.innerHTML="×",this._closeButton.addEventListener("click",this._onClose))},n.prototype._onMouseUp=function(t){this._update(t.point)},n.prototype._onMouseMove=function(t){this._update(t.point)},n.prototype._onDrag=function(t){this._update(t.point)},n.prototype._update=function(t){var e=this,n=this._lngLat||this._trackPointer;if(this._map&&n&&this._content&&(this._container||(this._container=r.create("div","mapboxgl-popup",this._map.getContainer()),this._tip=r.create("div","mapboxgl-popup-tip",this._container),this._container.appendChild(this._content),this.options.className&&this.options.className.split(" ").forEach((function(t){return e._container.classList.add(t)})),this._trackPointer&&this._container.classList.add("mapboxgl-popup-track-pointer")),this.options.maxWidth&&this._container.style.maxWidth!==this.options.maxWidth&&(this._container.style.maxWidth=this.options.maxWidth),this._map.transform.renderWorldCopies&&!this._trackPointer&&(this._lngLat=Vi(this._lngLat,this._pos,this._map.transform)),!this._trackPointer||t)){var i=this._pos=this._trackPointer&&t?t:this._map.project(this._lngLat),a=this.options.anchor,o=aa(this.options.offset);if(!a){var s,l=this._container.offsetWidth,u=this._container.offsetHeight;s=i.y+o.bottom.ythis._map.transform.height-u?["bottom"]:[],i.xthis._map.transform.width-l/2&&s.push("right"),a=0===s.length?"bottom":s.join("-")}var c=i.add(o[a]).round();r.setTransform(this._container,qi[a]+" translate("+c.x+"px,"+c.y+"px)"),Hi(this._container,a,"popup")}},n.prototype._focusFirstElement=function(){if(this.options.focusAfterOpen&&this._container){var t=this._container.querySelector(na);t&&t.focus()}},n.prototype._onClose=function(){this.remove()},n}(t.Evented);function aa(e){if(e){if("number"==typeof e){var r=Math.round(Math.sqrt(.5*Math.pow(e,2)));return{center:new t.Point(0,0),top:new t.Point(0,e),"top-left":new t.Point(r,r),"top-right":new t.Point(-r,r),bottom:new t.Point(0,-e),"bottom-left":new t.Point(r,-r),"bottom-right":new t.Point(-r,-r),left:new t.Point(e,0),right:new t.Point(-e,0)}}if(e instanceof t.Point||Array.isArray(e)){var n=t.Point.convert(e);return{center:n,top:n,"top-left":n,"top-right":n,bottom:n,"bottom-left":n,"bottom-right":n,left:n,right:n}}return{center:t.Point.convert(e.center||[0,0]),top:t.Point.convert(e.top||[0,0]),"top-left":t.Point.convert(e["top-left"]||[0,0]),"top-right":t.Point.convert(e["top-right"]||[0,0]),bottom:t.Point.convert(e.bottom||[0,0]),"bottom-left":t.Point.convert(e["bottom-left"]||[0,0]),"bottom-right":t.Point.convert(e["bottom-right"]||[0,0]),left:t.Point.convert(e.left||[0,0]),right:t.Point.convert(e.right||[0,0])}}return aa(new t.Point(0,0))}var oa={version:t.version,supported:e,setRTLTextPlugin:t.setRTLTextPlugin,getRTLTextPluginStatus:t.getRTLTextPluginStatus,Map:Fi,NavigationControl:ji,GeolocateControl:Ki,AttributionControl:Ei,ScaleControl:$i,FullscreenControl:ea,Popup:ia,Marker:Wi,Style:Ye,LngLat:t.LngLat,LngLatBounds:t.LngLatBounds,Point:t.Point,MercatorCoordinate:t.MercatorCoordinate,Evented:t.Evented,config:t.config,prewarm:function(){jt().acquire(Rt)},clearPrewarmedResources:function(){var t=Bt;t&&(t.isPreloaded()&&1===t.numActive()?(t.release(Rt),Bt=null):console.warn("Could not clear WebWorkers since there are active Map instances that still reference it. The pre-warmed WebWorker pool can only be cleared when all map instances have been removed with map.remove()"))},get accessToken(){return t.config.ACCESS_TOKEN},set accessToken(e){t.config.ACCESS_TOKEN=e},get baseApiUrl(){return t.config.API_URL},set baseApiUrl(e){t.config.API_URL=e},get workerCount(){return Ft.workerCount},set workerCount(t){Ft.workerCount=t},get maxParallelImageRequests(){return t.config.MAX_PARALLEL_IMAGE_REQUESTS},set maxParallelImageRequests(e){t.config.MAX_PARALLEL_IMAGE_REQUESTS=e},clearStorage:function(e){t.clearTileCache(e)},workerUrl:""};return oa})),r}()},3108:function(t,e,r){"use strict";t.exports=r(26099)},26099:function(t,e,r){"use strict";var n=r(64928),i=r(32420),a=r(51160),o=r(76752),s=r(55616),l=r(31264),u=r(47520),c=r(18400),f=r(72512),h=r(76244);function p(t,e){for(var r=e[0],n=e[1],a=1/(e[2]-r),o=1/(e[3]-n),s=new Array(t.length),l=0,u=t.length/2;l>>1;e.dtype||(e.dtype="array"),"string"==typeof e.dtype?d=new(f(e.dtype))(g):e.dtype&&(d=e.dtype,Array.isArray(d)&&(d.length=g));for(var y=0;yr||s>1073741824){for(var h=0;hr+i||M>n+i||S=C||o===s)){var l=m[a];void 0===s&&(s=l.length);for(var u=o;u=g&&f<=w&&h>=y&&h<=T&&P.push(c)}var p=x[a],d=p[4*o+0],v=p[4*o+1],b=p[4*o+2],_=p[4*o+3],k=function(t,e){for(var r=null,n=0;null===r;)if(r=t[4*e+n],++n>t.length)return null;return r}(p,o+1),E=.5*i,O=a+1;e(r,n,E,O,d,v||b||_||k),e(r,n+E,E,O,v,b||_||k),e(r+E,n,E,O,b,_||k),e(r+E,n+E,E,O,_,k)}}(0,0,1,0,0,1),P},d;function E(t,e,r){for(var n=1,i=.5,a=.5,o=.5,s=0;s0){e+=Math.abs(o(t[0]));for(var r=1;r2){for(l=0;l=0))throw new Error("precision must be a positive number");var r=Math.pow(10,e||0);return Math.round(t*r)/r},e.radiansToLength=c,e.lengthToRadians=f,e.lengthToDegrees=function(t,e){return h(f(t,e))},e.bearingToAzimuth=function(t){var e=t%360;return e<0&&(e+=360),e},e.radiansToDegrees=h,e.degreesToRadians=function(t){return t%360*Math.PI/180},e.convertLength=function(t,e,r){if(void 0===e&&(e="kilometers"),void 0===r&&(r="kilometers"),!(t>=0))throw new Error("length must be a positive number");return c(f(t,e),r)},e.convertArea=function(t,r,n){if(void 0===r&&(r="meters"),void 0===n&&(n="kilometers"),!(t>=0))throw new Error("area must be a positive number");var i=e.areaFactors[r];if(!i)throw new Error("invalid original units");var a=e.areaFactors[n];if(!a)throw new Error("invalid final units");return t/i*a},e.isNumber=p,e.isObject=function(t){return!!t&&t.constructor===Object},e.validateBBox=function(t){if(!t)throw new Error("bbox is required");if(!Array.isArray(t))throw new Error("bbox must be an Array");if(4!==t.length&&6!==t.length)throw new Error("bbox must be an Array of 4 or 6 numbers");t.forEach((function(t){if(!p(t))throw new Error("bbox must only contain numbers")}))},e.validateId=function(t){if(!t)throw new Error("id is required");if(-1===["string","number"].indexOf(typeof t))throw new Error("id must be a number or a string")}},3256:function(t,e,r){"use 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n=r(50896);function i(){this.regionalOptions=[],this.regionalOptions[""]={invalidCalendar:"Calendar {0} not found",invalidDate:"Invalid {0} date",invalidMonth:"Invalid {0} month",invalidYear:"Invalid {0} year",differentCalendars:"Cannot mix {0} and {1} dates"},this.local=this.regionalOptions[""],this.calendars={},this._localCals={}}function a(t,e,r,n){if(this._calendar=t,this._year=e,this._month=r,this._day=n,0===this._calendar._validateLevel&&!this._calendar.isValid(this._year,this._month,this._day))throw(u.local.invalidDate||u.regionalOptions[""].invalidDate).replace(/\{0\}/,this._calendar.local.name)}function o(t,e){return"000000".substring(0,e-(t=""+t).length)+t}function s(){this.shortYearCutoff="+10"}function l(t){this.local=this.regionalOptions[t]||this.regionalOptions[""]}n(i.prototype,{instance:function(t,e){t=(t||"gregorian").toLowerCase(),e=e||"";var r=this._localCals[t+"-"+e];if(!r&&this.calendars[t]&&(r=new 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0===arguments.length?this._day:this.set(t,"d")},date:function(t,e,r){if(!this._calendar.isValid(t,e,r))throw(u.local.invalidDate||u.regionalOptions[""].invalidDate).replace(/\{0\}/,this._calendar.local.name);return this._year=t,this._month=e,this._day=r,this},leapYear:function(){return this._calendar.leapYear(this)},epoch:function(){return this._calendar.epoch(this)},formatYear:function(){return this._calendar.formatYear(this)},monthOfYear:function(){return this._calendar.monthOfYear(this)},weekOfYear:function(){return this._calendar.weekOfYear(this)},daysInYear:function(){return this._calendar.daysInYear(this)},dayOfYear:function(){return this._calendar.dayOfYear(this)},daysInMonth:function(){return this._calendar.daysInMonth(this)},dayOfWeek:function(){return this._calendar.dayOfWeek(this)},weekDay:function(){return this._calendar.weekDay(this)},extraInfo:function(){return this._calendar.extraInfo(this)},add:function(t,e){return this._calendar.add(this,t,e)},set:function(t,e){return this._calendar.set(this,t,e)},compareTo:function(t){if(this._calendar.name!==t._calendar.name)throw(u.local.differentCalendars||u.regionalOptions[""].differentCalendars).replace(/\{0\}/,this._calendar.local.name).replace(/\{1\}/,t._calendar.local.name);var e=this._year!==t._year?this._year-t._year:this._month!==t._month?this.monthOfYear()-t.monthOfYear():this._day-t._day;return 0===e?0:e<0?-1:1},calendar:function(){return this._calendar},toJD:function(){return this._calendar.toJD(this)},fromJD:function(t){return this._calendar.fromJD(t)},toJSDate:function(){return this._calendar.toJSDate(this)},fromJSDate:function(t){return this._calendar.fromJSDate(t)},toString:function(){return(this.year()<0?"-":"")+o(Math.abs(this.year()),4)+"-"+o(this.month(),2)+"-"+o(this.day(),2)}}),n(s.prototype,{_validateLevel:0,newDate:function(t,e,r){return null==t?this.today():(t.year&&(this._validate(t,e,r,u.local.invalidDate||u.regionalOptions[""].invalidDate),r=t.day(),e=t.month(),t=t.year()),new a(this,t,e,r))},today:function(){return this.fromJSDate(new Date)},epoch:function(t){return this._validate(t,this.minMonth,this.minDay,u.local.invalidYear||u.regionalOptions[""].invalidYear).year()<0?this.local.epochs[0]:this.local.epochs[1]},formatYear:function(t){var e=this._validate(t,this.minMonth,this.minDay,u.local.invalidYear||u.regionalOptions[""].invalidYear);return(e.year()<0?"-":"")+o(Math.abs(e.year()),4)},monthsInYear:function(t){return this._validate(t,this.minMonth,this.minDay,u.local.invalidYear||u.regionalOptions[""].invalidYear),12},monthOfYear:function(t,e){var r=this._validate(t,e,this.minDay,u.local.invalidMonth||u.regionalOptions[""].invalidMonth);return(r.month()+this.monthsInYear(r)-this.firstMonth)%this.monthsInYear(r)+this.minMonth},fromMonthOfYear:function(t,e){var r=(e+this.firstMonth-2*this.minMonth)%this.monthsInYear(t)+this.minMonth;return 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0!==_&&Math.min(c,_)-Math.max(u,b)>1&&("left"===i.side?(s=i._mainLinePosition,l=r.width):l=i._mainLinePosition):void 0!==m&&void 0!==x&&Math.min(c,x)-Math.max(u,m)>1&&("top"===i.side?(s=i._mainLinePosition,l=r.height):l=i._mainLinePosition)}g[y++]=[{datum:t,traceIndex:t.trace.index,dp:0,pos:t.pos,posref:t.posref,size:t.by*(a?T:1)/2,pmin:s,pmax:l}]})),g.sort((function(t,e){return t[0].posref-e[0].posref||d*(e[0].traceIndex-t[0].traceIndex)}));!i&&p<=v;){for(p++,i=!0,s=0;s.01&&L.pmin===C.pmin&&L.pmax===C.pmax){for(l=E.length-1;l>=0;l--)E[l].dp+=a;for(S.push.apply(S,E),g.splice(s+1,1),c=0,l=S.length-1;l>=0;l--)c+=S[l].dp;for(o=c/S.length,l=S.length-1;l>=0;l--)S[l].dp-=o;i=!1}else s++}g.forEach(A)}for(s=g.length-1;s>=0;s--){var P=g[s];for(l=P.length-1;l>=0;l--){var O=P[l],I=O.datum;I.offset=O.dp,I.del=O.del}}}(Zt,Wt,c,Xt.commonLabelBoundingBox),z(Zt,Wt,c._invScaleX,c._invScaleY)),s&&s.tagName){var Kt=g.getComponentMethod("annotations","hasClickToShow")(t,Ot);f(n.select(s),Kt?"pointer":"")}s&&!a&&function(t,e,r){if(!r||r.length!==t._hoverdata.length)return!0;for(var n=r.length-1;n>=0;n--){var i=r[n],a=t._hoverdata[n];if(i.curveNumber!==a.curveNumber||String(i.pointNumber)!==String(a.pointNumber)||String(i.pointNumbers)!==String(a.pointNumbers))return!0}return!1}(t,0,Pt)&&(Pt&&t.emit("plotly_unhover",{event:e,points:Pt}),t.emit("plotly_hover",{event:e,points:t._hoverdata,xaxes:_,yaxes:w,xvals:H,yvals:G}))}(t,e,r,a,s)}))},e.loneHover=function(t,e){var r=!0;Array.isArray(t)||(r=!1,t=[t]);var i=e.gd,a=U(i),o=V(i),s=O(t.map((function(t){var r=t._x0||t.x0||t.x||0,n=t._x1||t.x1||t.x||0,s=t._y0||t.y0||t.y||0,l=t._y1||t.y1||t.y||0,u=t.eventData;if(u){var c=Math.min(r,n),f=Math.max(r,n),h=Math.min(s,l),d=Math.max(s,l),v=t.trace;if(g.traceIs(v,"gl3d")){var y=i._fullLayout[v.scene]._scene.container,m=y.offsetLeft,x=y.offsetTop;c+=m,f+=m,h+=x,d+=x}u.bbox={x0:c+o,x1:f+o,y0:h+a,y1:d+a},e.inOut_bbox&&e.inOut_bbox.push(u.bbox)}else u=!1;return{color:t.color||p.defaultLine,x0:t.x0||t.x||0,x1:t.x1||t.x||0,y0:t.y0||t.y||0,y1:t.y1||t.y||0,xLabel:t.xLabel,yLabel:t.yLabel,zLabel:t.zLabel,text:t.text,name:t.name,idealAlign:t.idealAlign,borderColor:t.borderColor,fontFamily:t.fontFamily,fontSize:t.fontSize,fontColor:t.fontColor,nameLength:t.nameLength,textAlign:t.textAlign,trace:t.trace||{index:0,hoverinfo:""},xa:{_offset:0},ya:{_offset:0},index:0,hovertemplate:t.hovertemplate||!1,hovertemplateLabels:t.hovertemplateLabels||!1,eventData:u}})),{gd:i,hovermode:"closest",rotateLabels:!1,bgColor:e.bgColor||p.background,container:n.select(e.container),outerContainer:e.outerContainer||e.container}).hoverLabels,l=0,u=0;return s.sort((function(t,e){return t.y0-e.y0})).each((function(t,r){var n=t.y0-t.by/2;t.offset=n-5([\s\S]*)<\/extra>/;function O(t,e){var r=e.gd,i=r._fullLayout,a=e.hovermode,u=e.rotateLabels,f=e.bgColor,d=e.container,v=e.outerContainer,w=e.commonLabelOpts||{};if(0===t.length)return[[]];var T=e.fontFamily||m.HOVERFONT,k=e.fontSize||m.HOVERFONTSIZE,A=t[0],E=A.xa,L=A.ya,P=a.charAt(0),O=P+"Label",D=A[O];if(void 0===D&&"multicategory"===E.type)for(var z=0;zi.width-b?(g=i.width-b,e.attr("d","M"+(b-M)+",0L"+b+","+x+M+"v"+x+(2*S+m.height)+"H-"+b+"V"+x+M+"H"+(b-2*M)+"Z")):e.attr("d","M0,0L"+M+","+x+M+"H"+b+"v"+x+(2*S+m.height)+"H-"+b+"V"+x+M+"H-"+M+"Z"),Y.minX=g-b,Y.maxX=g+b,"top"===E.side?(Y.minY=y-(2*S+m.height),Y.maxY=y-S):(Y.minY=y+S,Y.maxY=y+(2*S+m.height))}else{var _,C,P;"right"===L.side?(_="start",C=1,P="",g=E._offset+E._length):(_="end",C=-1,P="-",g=E._offset),y=L._offset+(A.y0+A.y1)/2,l.attr("text-anchor",_),e.attr("d","M0,0L"+P+M+","+M+"V"+(S+m.height/2)+"h"+P+(2*S+m.width)+"V-"+(S+m.height/2)+"H"+P+M+"V-"+M+"Z"),Y.minY=y-(S+m.height/2),Y.maxY=y+(S+m.height/2),"right"===L.side?(Y.minX=g+M,Y.maxX=g+M+(2*S+m.width)):(Y.minX=g-M-(2*S+m.width),Y.maxX=g-M);var O,I=m.height/2,z=F-m.top-I,R="clip"+i._uid+"commonlabel"+L._id;if(g=0?lt:ut+ht=0?ut:bt+ht=0?ot:st+pt=0?st:_t+pt=0,"top"!==t.idealAlign&&G||!W?G?(O+=R/2,t.anchor="start"):t.anchor="middle":(O-=R/2,t.anchor="end"),t.crossPos=O;else{if(t.pos=O,G=P+z/2+Y<=B,W=P-z/2-Y>=0,"left"!==t.idealAlign&&G||!W)if(G)P+=z/2,t.anchor="start";else{t.anchor="middle";var X=Y/2,Z=P+X-B,K=P-X;Z>0&&(P-=Z),K<0&&(P+=-K)}else P-=z/2,t.anchor="end";t.crossPos=P}w.attr("text-anchor",t.anchor),E&&A.attr("text-anchor",t.anchor),e.attr("transform",s(P,O)+(u?l(_):""))})),{hoverLabels:wt,commonLabelBoundingBox:Y}}function I(t,e,r,n,i,a){var s="",l="";void 0!==t.nameOverride&&(t.name=t.nameOverride),t.name&&(t.trace._meta&&(t.name=o.templateString(t.name,t.trace._meta)),s=N(t.name,t.nameLength));var u=r.charAt(0),c="x"===u?"y":"x";void 0!==t.zLabel?(void 0!==t.xLabel&&(l+="x: "+t.xLabel+"
"),void 0!==t.yLabel&&(l+="y: "+t.yLabel+"
"),"choropleth"!==t.trace.type&&"choroplethmapbox"!==t.trace.type&&(l+=(l?"z: ":"")+t.zLabel)):e&&t[u+"Label"]===i?l=t[c+"Label"]||"":void 0===t.xLabel?void 0!==t.yLabel&&"scattercarpet"!==t.trace.type&&(l=t.yLabel):l=void 0===t.yLabel?t.xLabel:"("+t.xLabel+", "+t.yLabel+")",!t.text&&0!==t.text||Array.isArray(t.text)||(l+=(l?"
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i,s,l,u,f=r.select("text.nums"),p=t.anchor,d="end"===p?-1:1,v=(u=(l=(s={start:1,end:-1,middle:0}[(i=t).anchor])*(M+S))+s*(i.txwidth+S),"middle"===i.anchor&&(l-=i.tx2width/2,u+=i.txwidth/2+S),{alignShift:s,textShiftX:l,text2ShiftX:u}),g=D(t,e),y=g.x,m=g.y,x="middle"===p;r.select("path").attr("d",x?"M-"+a(t.bx/2+t.tx2width/2)+","+o(m-t.by/2)+"h"+a(t.bx)+"v"+o(t.by)+"h-"+a(t.bx)+"Z":"M0,0L"+a(d*M+y)+","+o(M+m)+"v"+o(t.by/2-M)+"h"+a(d*t.bx)+"v-"+o(t.by)+"H"+a(d*M+y)+"V"+o(m-M)+"Z");var b=y+v.textShiftX,_=m+t.ty0-t.by/2+S,w=t.textAlign||"auto";"auto"!==w&&("left"===w&&"start"!==p?(f.attr("text-anchor","start"),b=x?-t.bx/2-t.tx2width/2+S:-t.bx-S):"right"===w&&"end"!==p&&(f.attr("text-anchor","end"),b=x?t.bx/2-t.tx2width/2-S:t.bx+S)),f.call(c.positionText,a(b),o(_)),t.tx2width&&(r.select("text.name").call(c.positionText,a(v.text2ShiftX+v.alignShift*S+y),o(m+t.ty0-t.by/2+S)),r.select("rect").call(h.setRect,a(v.text2ShiftX+(v.alignShift-1)*t.tx2width/2+y),o(m-t.by/2-1),a(t.tx2width),o(t.by+2)))}))}function R(t,e){var r=t.index,n=t.trace||{},a=t.cd[0],s=t.cd[r]||{};function l(t){return t||i(t)&&0===t}var u=Array.isArray(r)?function(t,e){var i=o.castOption(a,r,t);return l(i)?i:o.extractOption({},n,"",e)}:function(t,e){return o.extractOption(s,n,t,e)};function c(e,r,n){var i=u(r,n);l(i)&&(t[e]=i)}if(c("hoverinfo","hi","hoverinfo"),c("bgcolor","hbg","hoverlabel.bgcolor"),c("borderColor","hbc","hoverlabel.bordercolor"),c("fontFamily","htf","hoverlabel.font.family"),c("fontSize","hts","hoverlabel.font.size"),c("fontColor","htc","hoverlabel.font.color"),c("nameLength","hnl","hoverlabel.namelength"),c("textAlign","hta","hoverlabel.align"),t.posref="y"===e||"closest"===e&&"h"===n.orientation?t.xa._offset+(t.x0+t.x1)/2:t.ya._offset+(t.y0+t.y1)/2,t.x0=o.constrain(t.x0,0,t.xa._length),t.x1=o.constrain(t.x1,0,t.xa._length),t.y0=o.constrain(t.y0,0,t.ya._length),t.y1=o.constrain(t.y1,0,t.ya._length),void 0!==t.xLabelVal&&(t.xLabel="xLabel"in t?t.xLabel:v.hoverLabelText(t.xa,t.xLabelVal,n.xhoverformat),t.xVal=t.xa.c2d(t.xLabelVal)),void 0!==t.yLabelVal&&(t.yLabel="yLabel"in t?t.yLabel:v.hoverLabelText(t.ya,t.yLabelVal,n.yhoverformat),t.yVal=t.ya.c2d(t.yLabelVal)),void 0!==t.zLabelVal&&void 0===t.zLabel&&(t.zLabel=String(t.zLabelVal)),!(isNaN(t.xerr)||"log"===t.xa.type&&t.xerr<=0)){var f=v.tickText(t.xa,t.xa.c2l(t.xerr),"hover").text;void 0!==t.xerrneg?t.xLabel+=" +"+f+" / -"+v.tickText(t.xa,t.xa.c2l(t.xerrneg),"hover").text:t.xLabel+=" ± "+f,"x"===e&&(t.distance+=1)}if(!(isNaN(t.yerr)||"log"===t.ya.type&&t.yerr<=0)){var h=v.tickText(t.ya,t.ya.c2l(t.yerr),"hover").text;void 0!==t.yerrneg?t.yLabel+=" +"+h+" / -"+v.tickText(t.ya,t.ya.c2l(t.yerrneg),"hover").text:t.yLabel+=" ± "+h,"y"===e&&(t.distance+=1)}var p=t.hoverinfo||t.trace.hoverinfo;return p&&"all"!==p&&(-1===(p=Array.isArray(p)?p:p.split("+")).indexOf("x")&&(t.xLabel=void 0),-1===p.indexOf("y")&&(t.yLabel=void 0),-1===p.indexOf("z")&&(t.zLabel=void 0),-1===p.indexOf("text")&&(t.text=void 0),-1===p.indexOf("name")&&(t.name=void 0)),t}function F(t,e,r){var n,i,o=r.container,s=r.fullLayout,l=s._size,u=r.event,c=!!e.hLinePoint,f=!!e.vLinePoint;if(o.selectAll(".spikeline").remove(),f||c){var d=p.combine(s.plot_bgcolor,s.paper_bgcolor);if(c){var g,y,m=e.hLinePoint;n=m&&m.xa,"cursor"===(i=m&&m.ya).spikesnap?(g=u.pointerX,y=u.pointerY):(g=n._offset+m.x,y=i._offset+m.y);var x,b,_=a.readability(m.color,d)<1.5?p.contrast(d):m.color,w=i.spikemode,T=i.spikethickness,k=i.spikecolor||_,A=v.getPxPosition(t,i);if(-1!==w.indexOf("toaxis")||-1!==w.indexOf("across")){if(-1!==w.indexOf("toaxis")&&(x=A,b=g),-1!==w.indexOf("across")){var 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l=o.selectAll("g."+f.headerGroupClassName).data(r,p);l.enter().append("g").classed(f.headerGroupClassName,!0);for(var u=s.ensureSingle(o,"g",f.dropdownButtonGroupClassName,(function(t){t.style("pointer-events","all")})),c=0;cw,A=s.barLength+2*s.barPad,M=s.barWidth+2*s.barPad,S=d,E=g+y;E+M>u&&(E=u-M);var L=this.container.selectAll("rect.scrollbar-horizontal").data(k?[0]:[]);L.exit().on(".drag",null).remove(),L.enter().append("rect").classed("scrollbar-horizontal",!0).call(i.fill,s.barColor),k?(this.hbar=L.attr({rx:s.barRadius,ry:s.barRadius,x:S,y:E,width:A,height:M}),this._hbarXMin=S+A/2,this._hbarTranslateMax=w-A):(delete this.hbar,delete this._hbarXMin,delete this._hbarTranslateMax);var C=y>T,P=s.barWidth+2*s.barPad,O=s.barLength+2*s.barPad,I=d+v,D=g;I+P>l&&(I=l-P);var z=this.container.selectAll("rect.scrollbar-vertical").data(C?[0]:[]);z.exit().on(".drag",null).remove(),z.enter().append("rect").classed("scrollbar-vertical",!0).call(i.fill,s.barColor),C?(this.vbar=z.attr({rx:s.barRadius,ry:s.barRadius,x:I,y:D,width:P,height:O}),this._vbarYMin=D+O/2,this._vbarTranslateMax=T-O):(delete this.vbar,delete this._vbarYMin,delete this._vbarTranslateMax);var R=this.id,F=c-.5,B=C?f+P+.5:f+.5,N=h-.5,j=k?p+M+.5:p+.5,U=o._topdefs.selectAll("#"+R).data(k||C?[0]:[]);if(U.exit().remove(),U.enter().append("clipPath").attr("id",R).append("rect"),k||C?(this._clipRect=U.select("rect").attr({x:Math.floor(F),y:Math.floor(N),width:Math.ceil(B)-Math.floor(F),height:Math.ceil(j)-Math.floor(N)}),this.container.call(a.setClipUrl,R,this.gd),this.bg.attr({x:d,y:g,width:v,height:y})):(this.bg.attr({width:0,height:0}),this.container.on("wheel",null).on(".drag",null).call(a.setClipUrl,null),delete this._clipRect),k||C){var 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r=this.position.w-this._box.w,n=this.position.h-this._box.h;if(t=o.constrain(t||0,0,r),e=o.constrain(e||0,0,n),this.translateX=t,this.translateY=e,this.container.call(a.setTranslate,this._box.l-this.position.l-t,this._box.t-this.position.t-e),this._clipRect&&this._clipRect.attr({x:Math.floor(this.position.l+t-.5),y:Math.floor(this.position.t+e-.5)}),this.hbar){var i=t/r;this.hbar.call(a.setTranslate,t+i*this._hbarTranslateMax,e)}if(this.vbar){var s=e/n;this.vbar.call(a.setTranslate,t,e+s*this._vbarTranslateMax)}}},84284:function(t){"use strict";t.exports={FROM_BL:{left:0,center:.5,right:1,bottom:0,middle:.5,top:1},FROM_TL:{left:0,center:.5,right:1,bottom:1,middle:.5,top:0},FROM_BR:{left:1,center:.5,right:0,bottom:0,middle:.5,top:1},LINE_SPACING:1.3,CAP_SHIFT:.7,MID_SHIFT:.35,OPPOSITE_SIDE:{left:"right",right:"left",top:"bottom",bottom:"top"}}},36208:function(t){"use strict";t.exports={axisRefDescription:function(t,e,r){return["If set to a",t,"axis id (e.g. *"+t+"* or","*"+t+"2*), the 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r=t[i[e]];r.visible?(this.enabled[e]=r.showspikes,this.colors[e]=n(r.spikecolor),this.drawSides[e]=r.spikesides,this.lineWidth[e]=r.spikethickness):(this.enabled[e]=!1,this.drawSides[e]=!1)}},t.exports=function(t){var e=new a;return e.merge(t),e}},87152:function(t,e,r){"use strict";t.exports=function(t){for(var e=t.axesOptions,r=t.glplot.axesPixels,s=t.fullSceneLayout,l=[[],[],[]],u=0;u<3;++u){var c=s[a[u]];if(c._length=(r[u].hi-r[u].lo)*r[u].pixelsPerDataUnit/t.dataScale[u],Math.abs(c._length)===1/0||isNaN(c._length))l[u]=[];else{c._input_range=c.range.slice(),c.range[0]=r[u].lo/t.dataScale[u],c.range[1]=r[u].hi/t.dataScale[u],c._m=1/(t.dataScale[u]*r[u].pixelsPerDataUnit),c.range[0]===c.range[1]&&(c.range[0]-=1,c.range[1]+=1);var f=c.tickmode;if("auto"===c.tickmode){c.tickmode="linear";var h=c.nticks||i.constrain(c._length/40,4,9);n.autoTicks(c,Math.abs(c.range[1]-c.range[0])/h)}for(var p=n.calcTicks(c,{msUTC:!0}),d=0;d/g," 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F=x[u=(l=c[M[o]]).type];R[o]=Math.pow(F.acc,1/F.count)/p[o]}g="data"===D||Math.max.apply(null,R)/Math.min.apply(null,R)<=4?R:[1,1,1]}c.aspectratio.x=f.aspectratio.x=g[0],c.aspectratio.y=f.aspectratio.y=g[1],c.aspectratio.z=f.aspectratio.z=g[2],n.glplot.setAspectratio(c.aspectratio),n.viewInitial.aspectratio||(n.viewInitial.aspectratio={x:c.aspectratio.x,y:c.aspectratio.y,z:c.aspectratio.z}),n.viewInitial.aspectmode||(n.viewInitial.aspectmode=c.aspectmode);var B=c.domain||null,N=e._size||null;if(B&&N){var j=n.container.style;j.position="absolute",j.left=N.l+B.x[0]*N.w+"px",j.top=N.t+(1-B.y[1])*N.h+"px",j.width=N.w*(B.x[1]-B.x[0])+"px",j.height=N.h*(B.y[1]-B.y[0])+"px"}n.glplot.redraw()}},k.destroy=function(){var t=this;t.glplot&&(t.camera.mouseListener.enabled=!1,t.container.removeEventListener("wheel",t.camera.wheelListener),t.camera=null,t.glplot.dispose(),t.container.parentNode.removeChild(t.container),t.glplot=null)},k.getCamera=function(){var t,e=this;return e.camera.view.recalcMatrix(e.camera.view.lastT()),{up:{x:(t=e.camera).up[0],y:t.up[1],z:t.up[2]},center:{x:t.center[0],y:t.center[1],z:t.center[2]},eye:{x:t.eye[0],y:t.eye[1],z:t.eye[2]},projection:{type:!0===t._ortho?"orthographic":"perspective"}}},k.setViewport=function(t){var e,r=this,n=t.camera;r.camera.lookAt.apply(this,[[(e=n).eye.x,e.eye.y,e.eye.z],[e.center.x,e.center.y,e.center.z],[e.up.x,e.up.y,e.up.z]]),r.glplot.setAspectratio(t.aspectratio),"orthographic"===n.projection.type!==r.camera._ortho&&(r.glplot.redraw(),r.glplot.clearRGBA(),r.glplot.dispose(),r.initializeGLPlot())},k.isCameraChanged=function(t){var e=this.getCamera(),r=f.nestedProperty(t,this.id+".camera").get();function n(t,e,r,n){var i=["up","center","eye"],a=["x","y","z"];return e[i[r]]&&t[i[r]][a[n]]===e[i[r]][a[n]]}var i=!1;if(void 0===r)i=!0;else{for(var a=0;a<3;a++)for(var o=0;o<3;o++)if(!n(e,r,a,o)){i=!0;break}(!r.projection||e.projection&&e.projection.type!==r.projection.type)&&(i=!0)}return i},k.isAspectChanged=function(t){var e=this.glplot.getAspectratio(),r=f.nestedProperty(t,this.id+".aspectratio").get();return void 0===r||r.x!==e.x||r.y!==e.y||r.z!==e.z},k.saveLayout=function(t){var e,r,n,i,a,o,s=this,l=s.fullLayout,u=s.isCameraChanged(t),h=s.isAspectChanged(t),p=u||h;if(p){var d={};u&&(e=s.getCamera(),n=(r=f.nestedProperty(t,s.id+".camera")).get(),d[s.id+".camera"]=n),h&&(i=s.glplot.getAspectratio(),o=(a=f.nestedProperty(t,s.id+".aspectratio")).get(),d[s.id+".aspectratio"]=o),c.call("_storeDirectGUIEdit",t,l._preGUI,d),u&&(r.set(e),f.nestedProperty(l,s.id+".camera").set(e)),h&&(a.set(i),f.nestedProperty(l,s.id+".aspectratio").set(i),s.glplot.redraw())}return p},k.updateFx=function(t,e){var r=this,n=r.camera;if(n)if("orbit"===t)n.mode="orbit",n.keyBindingMode="rotate";else if("turntable"===t){n.up=[0,0,1],n.mode="turntable",n.keyBindingMode="rotate";var i=r.graphDiv,a=i._fullLayout,o=r.fullSceneLayout.camera,s=o.up.x,l=o.up.y,u=o.up.z;if(u/Math.sqrt(s*s+l*l+u*u)<.999){var h=r.id+".camera.up",p={x:0,y:0,z:1},d={};d[h]=p;var v=i.layout;c.call("_storeDirectGUIEdit",v,a._preGUI,d),o.up=p,f.nestedProperty(v,h).set(p)}}else n.keyBindingMode=t;r.fullSceneLayout.hovermode=e},k.toImage=function(t){var e=this;t||(t="png"),e.staticMode&&e.container.appendChild(n),e.glplot.redraw();var r=e.glplot.gl,i=r.drawingBufferWidth,a=r.drawingBufferHeight;r.bindFramebuffer(r.FRAMEBUFFER,null);var o=new Uint8Array(i*a*4);r.readPixels(0,0,i,a,r.RGBA,r.UNSIGNED_BYTE,o),function(t,e,r){for(var n=0,i=r-1;n0)for(var s=255/o,l=0;l<3;++l)t[a+l]=Math.min(s*t[a+l],255)}}(o,i,a);var s=document.createElement("canvas");s.width=i,s.height=a;var 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t=i.numbersScaler(h);z+=t[2];var e,r=S(v,"numbersScale",1,t[0],z,Math.min);v._scaleNumbers||(r=1),e=v._isAngular?y-r*h.bottom:y-r*(h.top+h.bottom)/2,v._numbersTop=r*h.top+e;var n=h[T];"center"===T&&(n=(h.left+h.right)/2);var a=g-r*n;return a=S(v,"numbersTranslate",0,a,z,Math.max),l(a,e)+s(r)}))}(t,I,e,{numbersX:v,numbersY:E,numbersScaler:L,transitionOpts:r,onComplete:g}),D&&(C={range:O.gauge.axis.range,color:O.gauge.bgcolor,line:{color:O.gauge.bordercolor,width:0},thickness:1},P={range:O.gauge.axis.range,color:"rgba(0, 0, 0, 0)",line:{color:O.gauge.bordercolor,width:O.gauge.borderwidth},thickness:1});var W=I.selectAll("g.angular").data(z?e:[]);W.exit().remove();var Y=I.selectAll("g.angularaxis").data(z?e:[]);Y.exit().remove(),z&&function(t,e,r,a){var o,s,f,h,p=r[0].trace,v=a.size,g=a.radius,y=a.innerRadius,m=a.gaugeBg,x=a.gaugeOutline,b=[v.l+v.w/2,v.t+v.h/2+g/2],_=a.gauge,A=a.layer,M=a.transitionOpts,S=a.onComplete,E=Math.PI/2;function L(t){var 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U,V,q,H=j.select("path");w(M)?(H.transition().duration(M.duration).ease(M.easing).each("end",(function(){S&&S()})).each("interrupt",(function(){S&&S()})).attrTween("d",(U=N,V=L(r[0].lastY),q=L(r[0].y),function(){var t=i(V,q);return function(e){return U.endAngle(t(e))()}})),p._lastValue=r[0].y):H.attr("d","number"==typeof r[0].y?N.endAngle(L(r[0].y)):"M0,0Z"),H.call(T),j.exit().remove(),F=[];var G=p.gauge.threshold.value;(G||0===G)&&F.push({range:[G,G],color:p.gauge.threshold.color,line:{color:p.gauge.threshold.line.color,width:p.gauge.threshold.line.width},thickness:p.gauge.threshold.thickness});var W=_.selectAll("g.threshold-arc").data(F);W.enter().append("g").classed("threshold-arc",!0).append("path"),W.select("path").call(P).call(T),W.exit().remove();var Y=_.selectAll("g.gauge-outline").data([x]);Y.enter().append("g").classed("gauge-outline",!0).append("path"),Y.select("path").call(P).call(T),Y.exit().remove()}(t,0,e,{radius:U,innerRadius:V,gauge:W,layer:Y,size:B,gaugeBg:C,gaugeOutline:P,transitionOpts:r,onComplete:g});var X=I.selectAll("g.bullet").data(R?e:[]);X.exit().remove();var Z=I.selectAll("g.bulletaxis").data(R?e:[]);Z.exit().remove(),R&&function(t,e,r,n){var i,a,o,s,u,c=r[0].trace,f=n.gauge,p=n.layer,v=n.gaugeBg,g=n.gaugeOutline,y=n.size,x=c.domain,b=n.transitionOpts,_=n.onComplete;f.enter().append("g").classed("bullet",!0),f.attr("transform",l(y.l,y.t)),p.enter().append("g").classed("bulletaxis",!0).classed("crisp",!0),p.selectAll("g.xbulletaxistick,path,text").remove();var A=y.h,M=c.gauge.bar.thickness*A,S=x.x[0],E=x.x[0]+(x.x[1]-x.x[0])*(c._hasNumber||c._hasDelta?1-h.bulletNumberDomainSize:1);function L(t){t.attr("width",(function(t){return Math.max(0,i.c2p(t.range[1])-i.c2p(t.range[0]))})).attr("x",(function(t){return 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O=f.selectAll("g.value-bullet").data([c.gauge.bar]);O.enter().append("g").classed("value-bullet",!0).append("rect"),O.select("rect").attr("height",M).attr("y",(A-M)/2).call(T),w(b)?O.select("rect").transition().duration(b.duration).ease(b.easing).each("end",(function(){_&&_()})).each("interrupt",(function(){_&&_()})).attr("width",Math.max(0,i.c2p(Math.min(c.gauge.axis.range[1],r[0].y)))):O.select("rect").attr("width","number"==typeof r[0].y?Math.max(0,i.c2p(Math.min(c.gauge.axis.range[1],r[0].y))):0),O.exit().remove();var I=r.filter((function(){return 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n=r(49084),i=r(29736).axisHoverFormat,a=r(21776).Ks,o=r(16716),s=r(45464),l=r(92880).extendFlat;t.exports=l({x:{valType:"data_array",editType:"calc+clearAxisTypes"},y:{valType:"data_array",editType:"calc+clearAxisTypes"},z:{valType:"data_array",editType:"calc+clearAxisTypes"},i:{valType:"data_array",editType:"calc"},j:{valType:"data_array",editType:"calc"},k:{valType:"data_array",editType:"calc"},text:{valType:"string",dflt:"",arrayOk:!0,editType:"calc"},hovertext:{valType:"string",dflt:"",arrayOk:!0,editType:"calc"},hovertemplate:a({editType:"calc"}),xhoverformat:i("x"),yhoverformat:i("y"),zhoverformat:i("z"),delaunayaxis:{valType:"enumerated",values:["x","y","z"],dflt:"z",editType:"calc"},alphahull:{valType:"number",dflt:-1,editType:"calc"},intensity:{valType:"data_array",editType:"calc"},intensitymode:{valType:"enumerated",values:["vertex","cell"],dflt:"vertex",editType:"calc"},color:{valType:"color",editType:"calc"},vertexcolor:{valType:"data_array",editType:"calc"},facecolor:{valType:"data_array",editType:"calc"},transforms:void 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p=s(t,e,{name:"dimensions",handleItemDefaults:f}),d=function(t,e,r,o,s){s("line.shape"),s("line.hovertemplate");var l=s("line.color",o.colorway[0]);if(i(t,"line")&&n.isArrayOrTypedArray(l)){if(l.length)return s("line.colorscale"),a(t,e,o,s,{prefix:"line.",cLetter:"c"}),l.length;e.line.color=r}return 1/0}(t,e,r,c,h);o(e,c,h),Array.isArray(p)&&p.length||(e.visible=!1),u(e,p,"values",d),h("hoveron"),h("hovertemplate"),h("arrangement"),h("bundlecolors"),h("sortpaths"),h("counts");var v={family:c.font.family,size:Math.round(c.font.size),color:c.font.color};n.coerceFont(h,"labelfont",v);var g={family:c.font.family,size:Math.round(c.font.size/1.2),color:c.font.color};n.coerceFont(h,"tickfont",g)}},22020:function(t,e,r){"use strict";t.exports={attributes:r(72140),supplyDefaults:r(76671),calc:r(69136),plot:r(60268),colorbar:{container:"line",min:"cmin",max:"cmax"},moduleType:"trace",name:"parcats",basePlotModule:r(91800),categories:["noOpacity"],meta:{}}},51036:function(t,e,r){"use strict";var n=r(33428),i=r(67756).Gz,a=r(36424),o=r(93024),s=r(3400),l=s.strTranslate,u=r(43616),c=r(49760),f=r(72736);function h(t,e,r,i){var a=e._context.staticPlot,o=t.map(F.bind(0,e,r)),c=i.selectAll("g.parcatslayer").data([null]);c.enter().append("g").attr("class","parcatslayer").style("pointer-events",a?"none":"all");var h=c.selectAll("g.trace.parcats").data(o,p),m=h.enter().append("g").attr("class","trace parcats");h.attr("transform",(function(t){return l(t.x,t.y)})),m.append("g").attr("class","paths");var x=h.select("g.paths").selectAll("path.path").data((function(t){return t.paths}),p);x.attr("fill",(function(t){return t.model.color}));var w=x.enter().append("path").attr("class","path").attr("stroke-opacity",0).attr("fill",(function(t){return t.model.color})).attr("fill-opacity",0);_(w),x.attr("d",(function(t){return t.svgD})),w.empty()||x.sort(v),x.exit().remove(),x.on("mouseover",g).on("mouseout",y).on("click",b),m.append("g").attr("class","dimensions");var A=h.select("g.dimensions").selectAll("g.dimension").data((function(t){return t.dimensions}),p);A.enter().append("g").attr("class","dimension"),A.attr("transform",(function(t){return l(t.x,0)})),A.exit().remove();var M=A.selectAll("g.category").data((function(t){return t.categories}),p),S=M.enter().append("g").attr("class","category");M.attr("transform",(function(t){return l(0,t.y)})),S.append("rect").attr("class","catrect").attr("pointer-events","none"),M.select("rect.catrect").attr("fill","none").attr("width",(function(t){return t.width})).attr("height",(function(t){return t.height})),T(S);var E=M.selectAll("rect.bandrect").data((function(t){return t.bands}),p);E.each((function(){s.raiseToTop(this)})),E.attr("fill",(function(t){return t.color}));var D=E.enter().append("rect").attr("class","bandrect").attr("stroke-opacity",0).attr("fill",(function(t){return t.color})).attr("fill-opacity",0);E.attr("fill",(function(t){return t.color})).attr("width",(function(t){return t.width})).attr("height",(function(t){return t.height})).attr("y",(function(t){return t.y})).attr("cursor",(function(t){return"fixed"===t.parcatsViewModel.arrangement?"default":"perpendicular"===t.parcatsViewModel.arrangement?"ns-resize":"move"})),k(D),E.exit().remove(),S.append("text").attr("class","catlabel").attr("pointer-events","none");var z=e._fullLayout.paper_bgcolor;M.select("text.catlabel").attr("text-anchor",(function(t){return d(t)?"start":"end"})).attr("alignment-baseline","middle").style("text-shadow",f.makeTextShadow(z)).style("fill","rgb(0, 0, 0)").attr("x",(function(t){return d(t)?t.width+5:-5})).attr("y",(function(t){return t.height/2})).text((function(t){return t.model.categoryLabel})).each((function(t){u.font(n.select(this),t.parcatsViewModel.categorylabelfont),f.convertToTspans(n.select(this),e)})),S.append("text").attr("class","dimlabel"),M.select("text.dimlabel").attr("text-anchor","middle").attr("alignment-baseline","baseline").attr("cursor",(function(t){return"fixed"===t.parcatsViewModel.arrangement?"default":"ew-resize"})).attr("x",(function(t){return t.width/2})).attr("y",-5).text((function(t,e){return 0===e?t.parcatsViewModel.model.dimensions[t.model.dimensionInd].dimensionLabel:null})).each((function(t){u.font(n.select(this),t.parcatsViewModel.labelfont)})),M.selectAll("rect.bandrect").on("mouseover",L).on("mouseout",C),M.exit().remove(),A.call(n.behavior.drag().origin((function(t){return{x:t.x,y:0}})).on("dragstart",P).on("drag",O).on("dragend",I)),h.each((function(t){t.traceSelection=n.select(this),t.pathSelection=n.select(this).selectAll("g.paths").selectAll("path.path"),t.dimensionSelection=n.select(this).selectAll("g.dimensions").selectAll("g.dimension")})),h.exit().remove()}function p(t){return t.key}function d(t){var e=t.parcatsViewModel.dimensions.length,r=t.parcatsViewModel.dimensions[e-1].model.dimensionInd;return t.model.dimensionInd===r}function v(t,e){return t.model.rawColor>e.model.rawColor?1:t.model.rawColor"),L=n.mouse(f)[0];o.loneHover({trace:h,x:b-d.left+v.left,y:_-d.top+v.top,text:E,color:t.model.color,borderColor:"black",fontFamily:'Monaco, "Courier New", 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e=t.parcatsViewModel;e.dragDimension||(_(e.pathSelection),T(e.dimensionSelection.selectAll("g.category")),k(e.dimensionSelection.selectAll("g.category").selectAll("rect.bandrect")),o.loneUnhover(e.graphDiv._fullLayout._hoverlayer.node()),e.pathSelection.sort(v),-1!==e.hoverinfoItems.indexOf("skip"))||("color"===t.parcatsViewModel.hoveron?S(this,"plotly_unhover",n.event):M(this,"plotly_unhover",n.event))}function P(t){"fixed"!==t.parcatsViewModel.arrangement&&(t.dragDimensionDisplayInd=t.model.displayInd,t.initialDragDimensionDisplayInds=t.parcatsViewModel.model.dimensions.map((function(t){return t.displayInd})),t.dragHasMoved=!1,t.dragCategoryDisplayInd=null,n.select(this).selectAll("g.category").select("rect.catrect").each((function(e){var r=n.mouse(this)[0],i=n.mouse(this)[1];-2<=r&&r<=e.width+2&&-2<=i&&i<=e.height+2&&(t.dragCategoryDisplayInd=e.model.displayInd,t.initialDragCategoryDisplayInds=t.model.categories.map((function(t){return 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t,e,r=[];return{set:function(n){1===(r=n.map((function(t){return t.slice().sort(s)})).sort(A)).length&&r[0][0]===-1/0&&r[0][1]===1/0&&(r=[[0,-1]]),t=S(r),e=r.reduce((function(t,e){return[Math.min(t[0],e[0]),Math.max(t[1],e[1])]}),[1/0,-1/0])},get:function(){return r.slice()},getConsolidated:function(){return t},getBounds:function(){return e}}}();return l.set(r),{filter:l,filterSpecified:e,svgBrush:{extent:[],brushStartCallback:n,brushCallback:(o=i,function(t){var e=t.brush,r=function(t){return t.svgBrush.extent.map((function(t){return t.slice()}))}(e),n=r.slice();e.filter.set(n),o()}),brushEndCallback:a}}},ensureAxisBrush:function(t,e,r){var i=t.selectAll("."+n.cn.axisBrush).data(o,a);i.enter().append("g").classed(n.cn.axisBrush,!0),function(t,e,r){var 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n=e[0].trace;c[r]=n.index;var i=f[r]=n._fullInput.index;l[r]=t.data[i].dimensions,u[r]=t.data[i].dimensions.slice()})),n(t,e,{width:h.w,height:h.h,margin:{t:h.t,r:h.r,b:h.b,l:h.l}},{filterChanged:function(e,n,i){var a=u[e][n],o=i.map((function(t){return t.slice()})),s="dimensions["+n+"].constraintrange",l=r._tracePreGUI[t._fullData[c[e]]._fullInput.uid];if(void 0===l[s]){var h=a.constraintrange;l[s]=h||null}var p=t._fullData[c[e]].dimensions[n];o.length?(1===o.length&&(o=o[0]),a.constraintrange=o,p.constraintrange=o.slice(),o=[o]):(delete a.constraintrange,delete p.constraintrange,o=null);var d={};d[s]=o,t.emit("plotly_restyle",[d,[f[e]]])},hover:function(e){t.emit("plotly_hover",e)},unhover:function(e){t.emit("plotly_unhover",e)},axesMoved:function(e,r){var n=function(t,e){return function(r,n){return s(t,e,r)-s(t,e,n)}}(r,u[e].filter(a));l[e].sort(n),u[e].filter((function(t){return!a(t)})).sort((function(t){return 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n=r(45464),i=r(86968).u,a=r(25376),o=r(22548),s=r(21776).Ks,l=r(21776).Gw,u=r(92880).extendFlat,c=r(98192).c,f=a({editType:"plot",arrayOk:!0,colorEditType:"plot"});t.exports={labels:{valType:"data_array",editType:"calc"},label0:{valType:"number",dflt:0,editType:"calc"},dlabel:{valType:"number",dflt:1,editType:"calc"},values:{valType:"data_array",editType:"calc"},marker:{colors:{valType:"data_array",editType:"calc"},line:{color:{valType:"color",dflt:o.defaultLine,arrayOk:!0,editType:"style"},width:{valType:"number",min:0,dflt:0,arrayOk:!0,editType:"style"},editType:"calc"},pattern:c,editType:"calc"},text:{valType:"data_array",editType:"plot"},hovertext:{valType:"string",dflt:"",arrayOk:!0,editType:"style"},scalegroup:{valType:"string",dflt:"",editType:"calc"},textinfo:{valType:"flaglist",flags:["label","text","value","percent"],extras:["none"],editType:"calc"},hoverinfo:u({},n.hoverinfo,{flags:["label","text","value","percent","name"]}),hovertemplate:s({},{keys:["label","color","value","percent","text"]}),texttemplate:l({editType:"plot"},{keys:["label","color","value","percent","text"]}),textposition:{valType:"enumerated",values:["inside","outside","auto","none"],dflt:"auto",arrayOk:!0,editType:"plot"},textfont:u({},f,{}),insidetextorientation:{valType:"enumerated",values:["horizontal","radial","tangential","auto"],dflt:"auto",editType:"plot"},insidetextfont:u({},f,{}),outsidetextfont:u({},f,{}),automargin:{valType:"boolean",dflt:!1,editType:"plot"},title:{text:{valType:"string",dflt:"",editType:"plot"},font:u({},f,{}),position:{valType:"enumerated",values:["top 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n=r(38248),i=r(49760),a=r(76308),o={};function s(t){return function(e,r){return!!e&&!!(e=i(e)).isValid()&&(e=a.addOpacity(e,e.getAlpha()),t[r]||(t[r]=e),e)}}function l(t,e){var r,n=JSON.stringify(t),a=e[n];if(!a){for(a=t.slice(),r=0;r=0})),("funnelarea"===e.type?y:e.sort)&&a.sort((function(t,e){return e.v-t.v})),a[0]&&(a[0].vTotal=g),a},crossTraceCalc:function(t,e){var r=(e||{}).type;r||(r="pie");var n=t._fullLayout,i=t.calcdata,a=n[r+"colorway"],s=n["_"+r+"colormap"];n["extend"+r+"colors"]&&(a=l(a,o));for(var u=0,c=0;c0){s=!0;break}}s||(o=0)}return{hasLabels:r,hasValues:a,len:o}}function c(t,e,r,n,i){n("marker.line.width")&&n("marker.line.color",i?void 0:r.paper_bgcolor);var a=n("marker.colors");l(n,"marker.pattern",a),t.marker&&!e.marker.pattern.fgcolor&&(e.marker.pattern.fgcolor=t.marker.colors),e.marker.pattern.bgcolor||(e.marker.pattern.bgcolor=r.paper_bgcolor)}t.exports={handleLabelsAndValues:u,handleMarkerDefaults:c,supplyDefaults:function(t,e,r,n){function l(r,n){return i.coerce(t,e,a,r,n)}var f=u(l("labels"),l("values")),h=f.len;if(e._hasLabels=f.hasLabels,e._hasValues=f.hasValues,!e._hasLabels&&e._hasValues&&(l("label0"),l("dlabel")),h){e._length=h,c(t,e,n,l,!0),l("scalegroup");var p,d=l("text"),v=l("texttemplate");if(v||(p=l("textinfo",i.isArrayOrTypedArray(d)?"text+percent":"percent")),l("hovertext"),l("hovertemplate"),v||p&&"none"!==p){var g=l("textposition");s(t,e,n,l,g,{moduleHasSelected:!1,moduleHasUnselected:!1,moduleHasConstrain:!1,moduleHasCliponaxis:!1,moduleHasTextangle:!1,moduleHasInsideanchor:!1}),(Array.isArray(g)||"auto"===g||"outside"===g)&&l("automargin"),("inside"===g||"auto"===g||Array.isArray(g))&&l("insidetextorientation")}o(e,n,l);var y=l("hole");if(l("title.text")){var m=l("title.position",y?"middle center":"top center");y||"middle center"!==m||(e.title.position="top center"),i.coerceFont(l,"title.font",n.font)}l("sort"),l("direction"),l("rotation"),l("pull")}else e.visible=!1}}},53644:function(t,e,r){"use strict";var n=r(10624).appendArrayMultiPointValues;t.exports=function(t,e){var r={curveNumber:e.index,pointNumbers:t.pts,data:e._input,fullData:e,label:t.label,color:t.color,value:t.v,percent:t.percent,text:t.text,bbox:t.bbox,v:t.v};return 1===t.pts.length&&(r.pointNumber=r.i=t.pts[0]),n(r,e,t.pts),"funnelarea"===e.type&&(delete r.v,delete r.i),r}},21552:function(t,e,r){"use strict";var n=r(43616),i=r(76308);t.exports=function(t,e,r,a){var o=r.marker.pattern;o&&o.shape?n.pointStyle(t,r,a,e):i.fill(t,e.color)}},69656:function(t,e,r){"use strict";var n=r(3400);function i(t){return-1!==t.indexOf("e")?t.replace(/[.]?0+e/,"e"):-1!==t.indexOf(".")?t.replace(/[.]?0+$/,""):t}e.formatPiePercent=function(t,e){var r=i((100*t).toPrecision(3));return n.numSeparate(r,e)+"%"},e.formatPieValue=function(t,e){var r=i(t.toPrecision(10));return n.numSeparate(r,e)},e.getFirstFilled=function(t,e){if(n.isArrayOrTypedArray(t))for(var r=0;r"),name:f.hovertemplate||-1!==h.indexOf("name")?f.name:void 0,idealAlign:t.pxmid[0]<0?"left":"right",color:g.castOption(_.bgcolor,t.pts)||t.color,borderColor:g.castOption(_.bordercolor,t.pts),fontFamily:g.castOption(w.family,t.pts),fontSize:g.castOption(w.size,t.pts),fontColor:g.castOption(w.color,t.pts),nameLength:g.castOption(_.namelength,t.pts),textAlign:g.castOption(_.align,t.pts),hovertemplate:g.castOption(f.hovertemplate,t.pts),hovertemplateLabels:t,eventData:[y(t,f)]},{container:r._hoverlayer.node(),outerContainer:r._paper.node(),gd:e,inOut_bbox:T}),t.bbox=T[0],u._hasHoverLabel=!0}u._hasHoverEvent=!0,e.emit("plotly_hover",{points:[y(t,f)],event:n.event})}})),t.on("mouseout",(function(t){var r=e._fullLayout,i=e._fullData[u.index],o=n.select(this).datum();u._hasHoverEvent&&(t.originalEvent=n.event,e.emit("plotly_unhover",{points:[y(o,i)],event:n.event}),u._hasHoverEvent=!1),u._hasHoverLabel&&(a.loneUnhover(r._hoverlayer.node()),u._hasHoverLabel=!1)})),t.on("click",(function(t){var r=e._fullLayout,i=e._fullData[u.index];e._dragging||!1===r.hovermode||(e._hoverdata=[y(t,i)],a.click(e,n.event))}))}function b(t,e,r){var n=g.castOption(t.insidetextfont.color,e.pts);!n&&t._input.textfont&&(n=g.castOption(t._input.textfont.color,e.pts));var i=g.castOption(t.insidetextfont.family,e.pts)||g.castOption(t.textfont.family,e.pts)||r.family,a=g.castOption(t.insidetextfont.size,e.pts)||g.castOption(t.textfont.size,e.pts)||r.size;return{color:n||o.contrast(e.color),family:i,size:a}}function _(t,e){for(var r,n,i=0;ie&&e>n||r=-4;g-=2)y(Math.PI*g,"tan");for(g=4;g>=-4;g-=2)y(Math.PI*(g+1),"tan")}if(f||p){for(g=4;g>=-4;g-=2)y(Math.PI*(g+1.5),"rad");for(g=4;g>=-4;g-=2)y(Math.PI*(g+.5),"rad")}}if(s||d||f){var m=Math.sqrt(t.width*t.width+t.height*t.height);if((a={scale:i*n*2/m,rCenter:1-i,rotate:0}).textPosAngle=(e.startangle+e.stopangle)/2,a.scale>=1)return a;v.push(a)}(d||p)&&((a=T(t,n,o,l,u)).textPosAngle=(e.startangle+e.stopangle)/2,v.push(a)),(d||h)&&((a=k(t,n,o,l,u)).textPosAngle=(e.startangle+e.stopangle)/2,v.push(a));for(var x=0,b=0,_=0;_=1)break}return v[x]}function T(t,e,r,n,i){e=Math.max(0,e-2*v);var a=t.width/t.height,o=S(a,n,e,r);return{scale:2*o/t.height,rCenter:A(a,o/e),rotate:M(i)}}function k(t,e,r,n,i){e=Math.max(0,e-2*v);var a=t.height/t.width,o=S(a,n,e,r);return{scale:2*o/t.width,rCenter:A(a,o/e),rotate:M(i+Math.PI/2)}}function A(t,e){return Math.cos(e)-t*e}function M(t){return(180/Math.PI*t+720)%180-90}function S(t,e,r,n){var i=t+1/(2*Math.tan(e));return r*Math.min(1/(Math.sqrt(i*i+.5)+i),n/(Math.sqrt(t*t+n/2)+t))}function E(t,e){return t.v!==e.vTotal||e.trace.hole?Math.min(1/(1+1/Math.sin(t.halfangle)),t.ring/2):1}function L(t,e){var r=e.pxmid[0],n=e.pxmid[1],i=t.width/2,a=t.height/2;return r<0&&(i*=-1),n<0&&(a*=-1),{scale:1,rCenter:1,rotate:0,x:i+Math.abs(a)*(i>0?1:-1)/2,y:a/(1+r*r/(n*n)),outside:!0}}function C(t,e){var r,n,i,a=t.trace,o={x:t.cx,y:t.cy},s={tx:0,ty:0};s.ty+=a.title.font.size,i=O(a),-1!==a.title.position.indexOf("top")?(o.y-=(1+i)*t.r,s.ty-=t.titleBox.height):-1!==a.title.position.indexOf("bottom")&&(o.y+=(1+i)*t.r);var l,u=t.r/(void 0===(l=t.trace.aspectratio)?1:l),c=e.w*(a.domain.x[1]-a.domain.x[0])/2;return-1!==a.title.position.indexOf("left")?(c+=u,o.x-=(1+i)*u,s.tx+=t.titleBox.width/2):-1!==a.title.position.indexOf("center")?c*=2:-1!==a.title.position.indexOf("right")&&(c+=u,o.x+=(1+i)*u,s.tx-=t.titleBox.width/2),r=c/t.titleBox.width,n=P(t,e)/t.titleBox.height,{x:o.x,y:o.y,scale:Math.min(r,n),tx:s.tx,ty:s.ty}}function P(t,e){var r=t.trace,n=e.h*(r.domain.y[1]-r.domain.y[0]);return Math.min(t.titleBox.height,n/2)}function O(t){var e,r=t.pull;if(!r)return 0;if(l.isArrayOrTypedArray(r))for(r=0,e=0;er&&(r=t.pull[e]);return r}function I(t,e){for(var r=[],n=0;n1?c=(u=r.r)/i.aspectratio:u=(c=r.r)*i.aspectratio,l=(u*=(1+i.baseratio)/2)*c}o=Math.min(o,l/r.vTotal)}for(n=0;n")}if(a){var x=l.castOption(i,e.i,"texttemplate");if(x){var b=function(t){return{label:t.label,value:t.v,valueLabel:g.formatPieValue(t.v,n.separators),percent:t.v/r.vTotal,percentLabel:g.formatPiePercent(t.v/r.vTotal,n.separators),color:t.color,text:t.text,customdata:l.castOption(i,t.i,"customdata")}}(e),_=g.getFirstFilled(i.text,e.pts);(m(_)||""===_)&&(b.text=_),e.text=l.texttemplateString(x,b,t._fullLayout._d3locale,b,i._meta||{})}else e.text=""}}function R(t,e){var r=t.rotate*Math.PI/180,n=Math.cos(r),i=Math.sin(r),a=(e.left+e.right)/2,o=(e.top+e.bottom)/2;t.textX=a*n-o*i,t.textY=a*i+o*n,t.noCenter=!0}t.exports={plot:function(t,e){var r=t._context.staticPlot,a=t._fullLayout,h=a._size;d("pie",a),_(e,t),I(e,h);var v=l.makeTraceGroups(a._pielayer,e,"trace").each((function(e){var d=n.select(this),v=e[0],y=v.trace;!function(t){var e,r,n,i=t[0],a=i.r,o=i.trace,s=g.getRotationAngle(o.rotation),l=2*Math.PI/i.vTotal,u="px0",c="px1";if("counterclockwise"===o.direction){for(e=0;ei.vTotal/2?1:0,r.halfangle=Math.PI*Math.min(r.v/i.vTotal,.5),r.ring=1-o.hole,r.rInscribed=E(r,i))}(e),d.attr("stroke-linejoin","round"),d.each((function(){var m=n.select(this).selectAll("g.slice").data(e);m.enter().append("g").classed("slice",!0),m.exit().remove();var _=[[[],[]],[[],[]]],T=!1;m.each((function(i,o){if(i.hidden)n.select(this).selectAll("path,g").remove();else{i.pointNumber=i.i,i.curveNumber=y.index,_[i.pxmid[1]<0?0:1][i.pxmid[0]<0?0:1].push(i);var u=v.cx,c=v.cy,h=n.select(this),d=h.selectAll("path.surface").data([i]);if(d.enter().append("path").classed("surface",!0).style({"pointer-events":r?"none":"all"}),h.call(x,t,e),y.pull){var m=+g.castOption(y.pull,i.pts)||0;m>0&&(u+=m*i.pxmid[0],c+=m*i.pxmid[1])}i.cxFinal=u,i.cyFinal=c;var k=y.hole;if(i.v===v.vTotal){var A="M"+(u+i.px0[0])+","+(c+i.px0[1])+P(i.px0,i.pxmid,!0,1)+P(i.pxmid,i.px0,!0,1)+"Z";k?d.attr("d","M"+(u+k*i.px0[0])+","+(c+k*i.px0[1])+P(i.px0,i.pxmid,!1,k)+P(i.pxmid,i.px0,!1,k)+"Z"+A):d.attr("d",A)}else{var M=P(i.px0,i.px1,!0,1);if(k){var S=1-k;d.attr("d","M"+(u+k*i.px1[0])+","+(c+k*i.px1[1])+P(i.px1,i.px0,!1,k)+"l"+S*i.px0[0]+","+S*i.px0[1]+M+"Z")}else d.attr("d","M"+u+","+c+"l"+i.px0[0]+","+i.px0[1]+M+"Z")}z(t,i,v);var E=g.castOption(y.textposition,i.pts),C=h.selectAll("g.slicetext").data(i.text&&"none"!==E?[0]:[]);C.enter().append("g").classed("slicetext",!0),C.exit().remove(),C.each((function(){var r=l.ensureSingle(n.select(this),"text","",(function(t){t.attr("data-notex",1)})),h=l.ensureUniformFontSize(t,"outside"===E?function(t,e,r){return{color:g.castOption(t.outsidetextfont.color,e.pts)||g.castOption(t.textfont.color,e.pts)||r.color,family:g.castOption(t.outsidetextfont.family,e.pts)||g.castOption(t.textfont.family,e.pts)||r.family,size:g.castOption(t.outsidetextfont.size,e.pts)||g.castOption(t.textfont.size,e.pts)||r.size}}(y,i,a.font):b(y,i,a.font));r.text(i.text).attr({class:"slicetext",transform:"","text-anchor":"middle"}).call(s.font,h).call(f.convertToTspans,t);var d,m=s.bBox(r.node());if("outside"===E)d=L(m,i);else if(d=w(m,i,v),"auto"===E&&d.scale<1){var x=l.ensureUniformFontSize(t,y.outsidetextfont);r.call(s.font,x),d=L(m=s.bBox(r.node()),i)}var _=d.textPosAngle,k=void 0===_?i.pxmid:D(v.r,_);if(d.targetX=u+k[0]*d.rCenter+(d.x||0),d.targetY=c+k[1]*d.rCenter+(d.y||0),R(d,m),d.outside){var A=d.targetY;i.yLabelMin=A-m.height/2,i.yLabelMid=A,i.yLabelMax=A+m.height/2,i.labelExtraX=0,i.labelExtraY=0,T=!0}d.fontSize=h.size,p(y.type,d,a),e[o].transform=d,l.setTransormAndDisplay(r,d)}))}function P(t,e,r,n){var a=n*(e[0]-t[0]),o=n*(e[1]-t[1]);return"a"+n*v.r+","+n*v.r+" 0 "+i.largeArc+(r?" 1 ":" 0 ")+a+","+o}}));var k=n.select(this).selectAll("g.titletext").data(y.title.text?[0]:[]);if(k.enter().append("g").classed("titletext",!0),k.exit().remove(),k.each((function(){var e,r=l.ensureSingle(n.select(this),"text","",(function(t){t.attr("data-notex",1)})),i=y.title.text;y._meta&&(i=l.templateString(i,y._meta)),r.text(i).attr({class:"titletext",transform:"","text-anchor":"middle"}).call(s.font,y.title.font).call(f.convertToTspans,t),e="middle center"===y.title.position?function(t){var e=Math.sqrt(t.titleBox.width*t.titleBox.width+t.titleBox.height*t.titleBox.height);return{x:t.cx,y:t.cy,scale:t.trace.hole*t.r*2/e,tx:0,ty:-t.titleBox.height/2+t.trace.title.font.size}}(v):C(v,h),r.attr("transform",c(e.x,e.y)+u(Math.min(1,e.scale))+c(e.tx,e.ty))})),T&&function(t,e){var r,n,i,a,o,s,u,c,f,h,p,d,v;function y(t,e){return t.pxmid[1]-e.pxmid[1]}function m(t,e){return e.pxmid[1]-t.pxmid[1]}function x(t,r){r||(r={});var i,c,f,p,d=r.labelExtraY+(n?r.yLabelMax:r.yLabelMin),v=n?t.yLabelMin:t.yLabelMax,y=n?t.yLabelMax:t.yLabelMin,m=t.cyFinal+o(t.px0[1],t.px1[1]),x=d-v;if(x*u>0&&(t.labelExtraY=x),l.isArrayOrTypedArray(e.pull))for(c=0;c=(g.castOption(e.pull,f.pts)||0)||((t.pxmid[1]-f.pxmid[1])*u>0?(x=f.cyFinal+o(f.px0[1],f.px1[1])-v-t.labelExtraY)*u>0&&(t.labelExtraY+=x):(y+t.labelExtraY-m)*u>0&&(i=3*s*Math.abs(c-h.indexOf(t)),(p=f.cxFinal+a(f.px0[0],f.px1[0])+i-(t.cxFinal+t.pxmid[0])-t.labelExtraX)*s>0&&(t.labelExtraX+=p)))}for(n=0;n<2;n++)for(i=n?y:m,o=n?Math.max:Math.min,u=n?1:-1,r=0;r<2;r++){for(a=r?Math.max:Math.min,s=r?1:-1,(c=t[n][r]).sort(i),f=t[1-n][r],h=f.concat(c),d=[],p=0;pMath.abs(f)?s+="l"+f*t.pxmid[0]/t.pxmid[1]+","+f+"H"+(a+t.labelExtraX+u):s+="l"+t.labelExtraX+","+c+"v"+(f-c)+"h"+u}else s+="V"+(t.yLabelMid+t.labelExtraY)+"h"+u;l.ensureSingle(r,"path","textline").call(o.stroke,e.outsidetextfont.color).attr({"stroke-width":Math.min(2,e.outsidetextfont.size/8),d:s,fill:"none"})}else r.select("path.textline").remove()}))}(m,y),T&&y.automargin){var A=s.bBox(d.node()),M=y.domain,S=h.w*(M.x[1]-M.x[0]),E=h.h*(M.y[1]-M.y[0]),P=(.5*S-v.r)/h.w,O=(.5*E-v.r)/h.h;i.autoMargin(t,"pie."+y.uid+".automargin",{xl:M.x[0]-P,xr:M.x[1]+P,yb:M.y[0]-O,yt:M.y[1]+O,l:Math.max(v.cx-v.r-A.left,0),r:Math.max(A.right-(v.cx+v.r),0),b:Math.max(A.bottom-(v.cy+v.r),0),t:Math.max(v.cy-v.r-A.top,0),pad:5})}}))}));setTimeout((function(){v.selectAll("tspan").each((function(){var t=n.select(this);t.attr("dy")&&t.attr("dy",t.attr("dy"))}))}),0)},formatSliceLabel:z,transformInsideText:w,determineInsideTextFont:b,positionTitleOutside:C,prerenderTitles:_,layoutAreas:I,attachFxHandlers:x,computeTransform:R}},22152:function(t,e,r){"use strict";var n=r(33428),i=r(10528),a=r(82744).resizeText;t.exports=function(t){var e=t._fullLayout._pielayer.selectAll(".trace");a(t,e,"pie"),e.each((function(e){var r=e[0].trace,a=n.select(this);a.style({opacity:r.opacity}),a.selectAll("path.surface").each((function(e){n.select(this).call(i,e,r,t)}))}))}},10528:function(t,e,r){"use strict";var n=r(76308),i=r(69656).castOption,a=r(21552);t.exports=function(t,e,r,o){var s=r.marker.line,l=i(s.color,e.pts)||n.defaultLine,u=i(s.width,e.pts)||0;t.call(a,e,r,o).style("stroke-width",u).call(n.stroke,l)}},35484:function(t,e,r){"use strict";var n=r(52904);t.exports={x:n.x,y:n.y,xy:{valType:"data_array",editType:"calc"},indices:{valType:"data_array",editType:"calc"},xbounds:{valType:"data_array",editType:"calc"},ybounds:{valType:"data_array",editType:"calc"},text:n.text,marker:{color:{valType:"color",arrayOk:!1,editType:"calc"},opacity:{valType:"number",min:0,max:1,dflt:1,arrayOk:!1,editType:"calc"},blend:{valType:"boolean",dflt:null,editType:"calc"},sizemin:{valType:"number",min:.1,max:2,dflt:.5,editType:"calc"},sizemax:{valType:"number",min:.1,dflt:20,editType:"calc"},border:{color:{valType:"color",arrayOk:!1,editType:"calc"},arearatio:{valType:"number",min:0,max:1,dflt:0,editType:"calc"},editType:"calc"},editType:"calc"},transforms:void 0}},11072:function(t,e,r){"use strict";var n=r(67792).gl_pointcloud2d,i=r(3400).isArrayOrTypedArray,a=r(43080),o=r(19280).findExtremes,s=r(44928);function l(t,e){this.scene=t,this.uid=e,this.type="pointcloud",this.pickXData=[],this.pickYData=[],this.xData=[],this.yData=[],this.textLabels=[],this.color="rgb(0, 0, 0)",this.name="",this.hoverinfo="all",this.idToIndex=new Int32Array(0),this.bounds=[0,0,0,0],this.pointcloudOptions={positions:new Float32Array(0),idToIndex:this.idToIndex,sizemin:.5,sizemax:12,color:[0,0,0,1],areaRatio:1,borderColor:[0,0,0,1]},this.pointcloud=n(t.glplot,this.pointcloudOptions),this.pointcloud._trace=this}var u=l.prototype;u.handlePick=function(t){var e=this.idToIndex[t.pointId];return{trace:this,dataCoord:t.dataCoord,traceCoord:this.pickXYData?[this.pickXYData[2*e],this.pickXYData[2*e+1]]:[this.pickXData[e],this.pickYData[e]],textLabel:i(this.textLabels)?this.textLabels[e]:this.textLabels,color:this.color,name:this.name,pointIndex:e,hoverinfo:this.hoverinfo}},u.update=function(t){this.index=t.index,this.textLabels=t.text,this.name=t.name,this.hoverinfo=t.hoverinfo,this.bounds=[1/0,1/0,-1/0,-1/0],this.updateFast(t),this.color=s(t,{})},u.updateFast=function(t){var e,r,n,i,s,l,u=this.xData=this.pickXData=t.x,c=this.yData=this.pickYData=t.y,f=this.pickXYData=t.xy,h=t.xbounds&&t.ybounds,p=t.indices,d=this.bounds;if(f){if(n=f,e=f.length>>>1,h)d[0]=t.xbounds[0],d[2]=t.xbounds[1],d[1]=t.ybounds[0],d[3]=t.ybounds[1];else for(l=0;ld[2]&&(d[2]=i),sd[3]&&(d[3]=s);if(p)r=p;else for(r=new Int32Array(e),l=0;ld[2]&&(d[2]=i),sd[3]&&(d[3]=s);this.idToIndex=r,this.pointcloudOptions.idToIndex=r,this.pointcloudOptions.positions=n;var 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s(t,e,r,n){this.type="scattermapbox",this.subplot=t,this.uid=e,this.clusterEnabled=r,this.isHidden=n,this.sourceIds={fill:"source-"+e+"-fill",line:"source-"+e+"-line",circle:"source-"+e+"-circle",symbol:"source-"+e+"-symbol",cluster:"source-"+e+"-circle",clusterCount:"source-"+e+"-circle"},this.layerIds={fill:a+e+"-fill",line:a+e+"-line",circle:a+e+"-circle",symbol:a+e+"-symbol",cluster:a+e+"-cluster",clusterCount:a+e+"-cluster-count"},this.below=null}var l=s.prototype;l.addSource=function(t,e,r){var i={type:"geojson",data:e.geojson};r&&r.enabled&&n.extendFlat(i,{cluster:!0,clusterMaxZoom:r.maxzoom});var a=this.subplot.map.getSource(this.sourceIds[t]);a?a.setData(e.geojson):this.subplot.map.addSource(this.sourceIds[t],i)},l.setSourceData=function(t,e){this.subplot.map.getSource(this.sourceIds[t]).setData(e.geojson)},l.addLayer=function(t,e,r){var n={type:e.type,id:this.layerIds[t],source:this.sourceIds[t],layout:e.layout,paint:e.paint};e.filter&&(n.filter=e.filter);for(var i,a=this.layerIds[t],o=this.subplot.getMapLayers(),s=0;s=0;r--){var i=e[r];n.removeLayer(c.layerIds[i])}t||n.removeSource(c.sourceIds.circle)}(t):function(t){for(var e=o.nonCluster,r=e.length-1;r>=0;r--){var i=e[r];n.removeLayer(c.layerIds[i]),t||n.removeSource(c.sourceIds[i])}}(t)}function h(t){l?function(t){t||c.addSource("circle",a.circle,e.cluster);for(var r=o.cluster,n=0;n=0;r--){var n=e[r];t.removeLayer(this.layerIds[n]),t.removeSource(this.sourceIds[n])}},t.exports=function(t,e){var r,n,a,l=e[0].trace,u=l.cluster&&l.cluster.enabled,c=!0!==l.visible,f=new s(t,l.uid,u,c),h=i(t.gd,e),p=f.below=t.belowLookup["trace-"+l.uid];if(u)for(f.addSource("circle",h.circle,l.cluster),r=0;r")}}t.exports={hoverPoints:function(t,e,r,a){var o=n(t,e,r,a);if(o&&!1!==o[0].index){var s=o[0];if(void 0===s.index)return o;var l=t.subplot,u=s.cd[s.index],c=s.trace;if(l.isPtInside(u))return s.xLabelVal=void 0,s.yLabelVal=void 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n=r(47128);t.exports=function(t,e){e.surfacecolor?n(t,e,{vals:e.surfacecolor,containerStr:"",cLetter:"c"}):n(t,e,{vals:e.z,containerStr:"",cLetter:"c"})}},79164:function(t,e,r){"use strict";var n=r(67792).gl_surface3d,i=r(67792).ndarray,a=r(67792).ndarray_linear_interpolate.d2,o=r(70448),s=r(11240),l=r(3400).isArrayOrTypedArray,u=r(33040).parseColorScale,c=r(43080),f=r(8932).extractOpts;function h(t,e,r){this.scene=t,this.uid=r,this.surface=e,this.data=null,this.showContour=[!1,!1,!1],this.contourStart=[null,null,null],this.contourEnd=[null,null,null],this.contourSize=[0,0,0],this.minValues=[1/0,1/0,1/0],this.maxValues=[-1/0,-1/0,-1/0],this.dataScaleX=1,this.dataScaleY=1,this.refineData=!0,this.objectOffset=[0,0,0]}var p=h.prototype;p.getXat=function(t,e,r,n){var i=l(this.data.x)?l(this.data.x[0])?this.data.x[e][t]:this.data.x[t]:t;return void 0===r?i:n.d2l(i,0,r)},p.getYat=function(t,e,r,n){var i=l(this.data.y)?l(this.data.y[0])?this.data.y[e][t]:this.data.y[e]:e;return void 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r=c(e.cells.values),o=function(t){return t.slice(e.header.values.length,t.length)},v=c(e.header.values);v.length&&!v[0].length&&(v[0]=[""],v=c(v));var g=v.concat(o(r).map((function(){return f((v[0]||[""]).length)}))),y=e.domain,m=Math.floor(t._fullLayout._size.w*(y.x[1]-y.x[0])),x=Math.floor(t._fullLayout._size.h*(y.y[1]-y.y[0])),b=e.header.values.length?g[0].map((function(){return e.header.height})):[n.emptyHeaderHeight],_=r.length?r[0].map((function(){return e.cells.height})):[],w=b.reduce(u,0),T=d(_,x-w+n.uplift),k=p(d(b,w),[]),A=p(T,k),M={},S=e._fullInput.columnorder;s(S)&&(S=Array.from(S)),S=S.concat(o(r.map((function(t,e){return e}))));var E=g.map((function(t,r){var n=s(e.columnwidth)?e.columnwidth[Math.min(r,e.columnwidth.length-1)]:e.columnwidth;return a(n)?Number(n):1})),L=E.reduce(u,0);E=E.map((function(t){return t/L*m}));var C=Math.max(l(e.header.line.width),l(e.cells.line.width)),P={key:e.uid+t._context.staticPlot,translateX:y.x[0]*t._fullLayout._size.w,translateY:t._fullLayout._size.h*(1-y.y[1]),size:t._fullLayout._size,width:m,maxLineWidth:C,height:x,columnOrder:S,groupHeight:x,rowBlocks:A,headerRowBlocks:k,scrollY:0,cells:i({},e.cells,{values:r}),headerCells:i({},e.header,{values:g}),gdColumns:g.map((function(t){return t[0]})),gdColumnsOriginalOrder:g.map((function(t){return t[0]})),prevPages:[0,0],scrollbarState:{scrollbarScrollInProgress:!1},columns:g.map((function(t,e){var r=M[t];return M[t]=(r||0)+1,{key:t+"__"+M[t],label:t,specIndex:e,xIndex:S[e],xScale:h,x:void 0,calcdata:void 0,columnWidth:E[e]}}))};return P.columns.forEach((function(t){t.calcdata=P,t.x=h(t)})),P}},53056:function(t,e,r){"use strict";var n=r(92880).extendFlat;e.splitToPanels=function(t){var e=[0,0],r=n({},t,{key:"header",type:"header",page:0,prevPages:e,currentRepaint:[null,null],dragHandle:!0,values:t.calcdata.headerCells.values[t.specIndex],rowBlocks:t.calcdata.headerRowBlocks,calcdata:n({},t.calcdata,{cells:t.calcdata.headerCells})});return[n({},t,{key:"cells1",type:"cells",page:0,prevPages:e,currentRepaint:[null,null],dragHandle:!1,values:t.calcdata.cells.values[t.specIndex],rowBlocks:t.calcdata.rowBlocks}),n({},t,{key:"cells2",type:"cells",page:1,prevPages:e,currentRepaint:[null,null],dragHandle:!1,values:t.calcdata.cells.values[t.specIndex],rowBlocks:t.calcdata.rowBlocks}),r]},e.splitToCells=function(t){var e=function(t){var e=t.rowBlocks[t.page],r=e?e.rows[0].rowIndex:0;return[r,e?r+e.rows.length:0]}(t);return(t.values||[]).slice(e[0],e[1]).map((function(r,n){return{keyWithinBlock:n+("string"==typeof r&&r.match(/[<$&> 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f,h,p=c?"":k(t.calcdata.cells.prefix,e,r)||"",d=c?"":k(t.calcdata.cells.suffix,e,r)||"",v=c?null:k(t.calcdata.cells.format,e,r)||null,g=p+(v?o(v)(t.value):t.value)+d;if(t.wrappingNeeded=!t.wrapped&&!l&&!c&&(f=T(g)),t.cellHeightMayIncrease=s||c||t.mayHaveMarkup||(void 0===f?T(g):f),t.needsConvertToTspans=t.mayHaveMarkup||t.wrappingNeeded||t.latex,t.wrappingNeeded){var y=(" "===n.wrapSplitCharacter?g.replace(/i&&n.push(a),i+=l}return n}(i,l,s);1===u.length&&(u[0]===i.length-1?u.unshift(u[0]-1):u.push(u[0]+1)),u[0]%2&&u.reverse(),e.each((function(t,e){t.page=u[e],t.scrollY=l})),e.attr("transform",(function(t){var e=R(t.rowBlocks,t.page)-t.scrollY;return f(0,e)})),t&&(P(t,r,e,u,n.prevPages,n,0),P(t,r,e,u,n.prevPages,n,1),b(r,t))}}function C(t,e,r,a){return function(o){var s=o.calcdata?o.calcdata:o,l=e.filter((function(t){return s.key===t.key})),u=r||s.scrollbarState.dragMultiplier,c=s.scrollY;s.scrollY=void 0===a?s.scrollY+u*i.event.dy:a;var 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t&&t>=0);var e=0|Math.ceil(t/26),r=t%26;this._expand(e),r>0&&e--;for(var i=0;i0&&(this.words[i]=~this.words[i]&67108863>>26-r),this.strip()},a.prototype.notn=function(t){return this.clone().inotn(t)},a.prototype.setn=function(t,e){n("number"==typeof t&&t>=0);var r=t/26|0,i=t%26;return this._expand(r+1),this.words[r]=e?this.words[r]|1<t.length?(r=this,n=t):(r=t,n=this);for(var i=0,a=0;a>>26;for(;0!==i&&a>>26;if(this.length=r.length,0!==i)this.words[this.length]=i,this.length++;else if(r!==this)for(;at.length?this.clone().iadd(t):t.clone().iadd(this)},a.prototype.isub=function(t){if(0!==t.negative){t.negative=0;var e=this.iadd(t);return t.negative=1,e._normSign()}if(0!==this.negative)return this.negative=0,this.iadd(t),this.negative=1,this._normSign();var r,n,i=this.cmp(t);if(0===i)return this.negative=0,this.length=1,this.words[0]=0,this;i>0?(r=this,n=t):(r=t,n=this);for(var 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yt=(u+(n=n+Math.imul(f,H)|0)|0)+((8191&(i=(i=i+Math.imul(f,G)|0)+Math.imul(h,H)|0))<<13)|0;u=((a=a+Math.imul(h,G)|0)+(i>>>13)|0)+(yt>>>26)|0,yt&=67108863,n=Math.imul(y,U),i=(i=Math.imul(y,V))+Math.imul(m,U)|0,a=Math.imul(m,V),n=n+Math.imul(d,H)|0,i=(i=i+Math.imul(d,G)|0)+Math.imul(v,H)|0,a=a+Math.imul(v,G)|0;var mt=(u+(n=n+Math.imul(f,Y)|0)|0)+((8191&(i=(i=i+Math.imul(f,X)|0)+Math.imul(h,Y)|0))<<13)|0;u=((a=a+Math.imul(h,X)|0)+(i>>>13)|0)+(mt>>>26)|0,mt&=67108863,n=Math.imul(b,U),i=(i=Math.imul(b,V))+Math.imul(_,U)|0,a=Math.imul(_,V),n=n+Math.imul(y,H)|0,i=(i=i+Math.imul(y,G)|0)+Math.imul(m,H)|0,a=a+Math.imul(m,G)|0,n=n+Math.imul(d,Y)|0,i=(i=i+Math.imul(d,X)|0)+Math.imul(v,Y)|0,a=a+Math.imul(v,X)|0;var xt=(u+(n=n+Math.imul(f,K)|0)|0)+((8191&(i=(i=i+Math.imul(f,J)|0)+Math.imul(h,K)|0))<<13)|0;u=((a=a+Math.imul(h,J)|0)+(i>>>13)|0)+(xt>>>26)|0,xt&=67108863,n=Math.imul(T,U),i=(i=Math.imul(T,V))+Math.imul(k,U)|0,a=Math.imul(k,V),n=n+Math.imul(b,H)|0,i=(i=i+Math.imul(b,G)|0)+Math.imul(_,H)|0,a=a+Math.imul(_,G)|0,n=n+Math.imul(y,Y)|0,i=(i=i+Math.imul(y,X)|0)+Math.imul(m,Y)|0,a=a+Math.imul(m,X)|0,n=n+Math.imul(d,K)|0,i=(i=i+Math.imul(d,J)|0)+Math.imul(v,K)|0,a=a+Math.imul(v,J)|0;var bt=(u+(n=n+Math.imul(f,Q)|0)|0)+((8191&(i=(i=i+Math.imul(f,tt)|0)+Math.imul(h,Q)|0))<<13)|0;u=((a=a+Math.imul(h,tt)|0)+(i>>>13)|0)+(bt>>>26)|0,bt&=67108863,n=Math.imul(M,U),i=(i=Math.imul(M,V))+Math.imul(S,U)|0,a=Math.imul(S,V),n=n+Math.imul(T,H)|0,i=(i=i+Math.imul(T,G)|0)+Math.imul(k,H)|0,a=a+Math.imul(k,G)|0,n=n+Math.imul(b,Y)|0,i=(i=i+Math.imul(b,X)|0)+Math.imul(_,Y)|0,a=a+Math.imul(_,X)|0,n=n+Math.imul(y,K)|0,i=(i=i+Math.imul(y,J)|0)+Math.imul(m,K)|0,a=a+Math.imul(m,J)|0,n=n+Math.imul(d,Q)|0,i=(i=i+Math.imul(d,tt)|0)+Math.imul(v,Q)|0,a=a+Math.imul(v,tt)|0;var _t=(u+(n=n+Math.imul(f,rt)|0)|0)+((8191&(i=(i=i+Math.imul(f,nt)|0)+Math.imul(h,rt)|0))<<13)|0;u=((a=a+Math.imul(h,nt)|0)+(i>>>13)|0)+(_t>>>26)|0,_t&=67108863,n=Math.imul(L,U),i=(i=Math.imul(L,V))+Math.imul(C,U)|0,a=Math.imul(C,V),n=n+Math.imul(M,H)|0,i=(i=i+Math.imul(M,G)|0)+Math.imul(S,H)|0,a=a+Math.imul(S,G)|0,n=n+Math.imul(T,Y)|0,i=(i=i+Math.imul(T,X)|0)+Math.imul(k,Y)|0,a=a+Math.imul(k,X)|0,n=n+Math.imul(b,K)|0,i=(i=i+Math.imul(b,J)|0)+Math.imul(_,K)|0,a=a+Math.imul(_,J)|0,n=n+Math.imul(y,Q)|0,i=(i=i+Math.imul(y,tt)|0)+Math.imul(m,Q)|0,a=a+Math.imul(m,tt)|0,n=n+Math.imul(d,rt)|0,i=(i=i+Math.imul(d,nt)|0)+Math.imul(v,rt)|0,a=a+Math.imul(v,nt)|0;var wt=(u+(n=n+Math.imul(f,at)|0)|0)+((8191&(i=(i=i+Math.imul(f,ot)|0)+Math.imul(h,at)|0))<<13)|0;u=((a=a+Math.imul(h,ot)|0)+(i>>>13)|0)+(wt>>>26)|0,wt&=67108863,n=Math.imul(O,U),i=(i=Math.imul(O,V))+Math.imul(I,U)|0,a=Math.imul(I,V),n=n+Math.imul(L,H)|0,i=(i=i+Math.imul(L,G)|0)+Math.imul(C,H)|0,a=a+Math.imul(C,G)|0,n=n+Math.imul(M,Y)|0,i=(i=i+Math.imul(M,X)|0)+Math.imul(S,Y)|0,a=a+Math.imul(S,X)|0,n=n+Math.imul(T,K)|0,i=(i=i+Math.imul(T,J)|0)+Math.imul(k,K)|0,a=a+Math.imul(k,J)|0,n=n+Math.imul(b,Q)|0,i=(i=i+Math.imul(b,tt)|0)+Math.imul(_,Q)|0,a=a+Math.imul(_,tt)|0,n=n+Math.imul(y,rt)|0,i=(i=i+Math.imul(y,nt)|0)+Math.imul(m,rt)|0,a=a+Math.imul(m,nt)|0,n=n+Math.imul(d,at)|0,i=(i=i+Math.imul(d,ot)|0)+Math.imul(v,at)|0,a=a+Math.imul(v,ot)|0;var Tt=(u+(n=n+Math.imul(f,lt)|0)|0)+((8191&(i=(i=i+Math.imul(f,ut)|0)+Math.imul(h,lt)|0))<<13)|0;u=((a=a+Math.imul(h,ut)|0)+(i>>>13)|0)+(Tt>>>26)|0,Tt&=67108863,n=Math.imul(z,U),i=(i=Math.imul(z,V))+Math.imul(R,U)|0,a=Math.imul(R,V),n=n+Math.imul(O,H)|0,i=(i=i+Math.imul(O,G)|0)+Math.imul(I,H)|0,a=a+Math.imul(I,G)|0,n=n+Math.imul(L,Y)|0,i=(i=i+Math.imul(L,X)|0)+Math.imul(C,Y)|0,a=a+Math.imul(C,X)|0,n=n+Math.imul(M,K)|0,i=(i=i+Math.imul(M,J)|0)+Math.imul(S,K)|0,a=a+Math.imul(S,J)|0,n=n+Math.imul(T,Q)|0,i=(i=i+Math.imul(T,tt)|0)+Math.imul(k,Q)|0,a=a+Math.imul(k,tt)|0,n=n+Math.imul(b,rt)|0,i=(i=i+Math.imul(b,nt)|0)+Math.imul(_,rt)|0,a=a+Math.imul(_,nt)|0,n=n+Math.imul(y,at)|0,i=(i=i+Math.imul(y,ot)|0)+Math.imul(m,at)|0,a=a+Math.imul(m,ot)|0,n=n+Math.imul(d,lt)|0,i=(i=i+Math.imul(d,ut)|0)+Math.imul(v,lt)|0,a=a+Math.imul(v,ut)|0;var kt=(u+(n=n+Math.imul(f,ft)|0)|0)+((8191&(i=(i=i+Math.imul(f,ht)|0)+Math.imul(h,ft)|0))<<13)|0;u=((a=a+Math.imul(h,ht)|0)+(i>>>13)|0)+(kt>>>26)|0,kt&=67108863,n=Math.imul(B,U),i=(i=Math.imul(B,V))+Math.imul(N,U)|0,a=Math.imul(N,V),n=n+Math.imul(z,H)|0,i=(i=i+Math.imul(z,G)|0)+Math.imul(R,H)|0,a=a+Math.imul(R,G)|0,n=n+Math.imul(O,Y)|0,i=(i=i+Math.imul(O,X)|0)+Math.imul(I,Y)|0,a=a+Math.imul(I,X)|0,n=n+Math.imul(L,K)|0,i=(i=i+Math.imul(L,J)|0)+Math.imul(C,K)|0,a=a+Math.imul(C,J)|0,n=n+Math.imul(M,Q)|0,i=(i=i+Math.imul(M,tt)|0)+Math.imul(S,Q)|0,a=a+Math.imul(S,tt)|0,n=n+Math.imul(T,rt)|0,i=(i=i+Math.imul(T,nt)|0)+Math.imul(k,rt)|0,a=a+Math.imul(k,nt)|0,n=n+Math.imul(b,at)|0,i=(i=i+Math.imul(b,ot)|0)+Math.imul(_,at)|0,a=a+Math.imul(_,ot)|0,n=n+Math.imul(y,lt)|0,i=(i=i+Math.imul(y,ut)|0)+Math.imul(m,lt)|0,a=a+Math.imul(m,ut)|0,n=n+Math.imul(d,ft)|0,i=(i=i+Math.imul(d,ht)|0)+Math.imul(v,ft)|0,a=a+Math.imul(v,ht)|0;var At=(u+(n=n+Math.imul(f,dt)|0)|0)+((8191&(i=(i=i+Math.imul(f,vt)|0)+Math.imul(h,dt)|0))<<13)|0;u=((a=a+Math.imul(h,vt)|0)+(i>>>13)|0)+(At>>>26)|0,At&=67108863,n=Math.imul(B,H),i=(i=Math.imul(B,G))+Math.imul(N,H)|0,a=Math.imul(N,G),n=n+Math.imul(z,Y)|0,i=(i=i+Math.imul(z,X)|0)+Math.imul(R,Y)|0,a=a+Math.imul(R,X)|0,n=n+Math.imul(O,K)|0,i=(i=i+Math.imul(O,J)|0)+Math.imul(I,K)|0,a=a+Math.imul(I,J)|0,n=n+Math.imul(L,Q)|0,i=(i=i+Math.imul(L,tt)|0)+Math.imul(C,Q)|0,a=a+Math.imul(C,tt)|0,n=n+Math.imul(M,rt)|0,i=(i=i+Math.imul(M,nt)|0)+Math.imul(S,rt)|0,a=a+Math.imul(S,nt)|0,n=n+Math.imul(T,at)|0,i=(i=i+Math.imul(T,ot)|0)+Math.imul(k,at)|0,a=a+Math.imul(k,ot)|0,n=n+Math.imul(b,lt)|0,i=(i=i+Math.imul(b,ut)|0)+Math.imul(_,lt)|0,a=a+Math.imul(_,ut)|0,n=n+Math.imul(y,ft)|0,i=(i=i+Math.imul(y,ht)|0)+Math.imul(m,ft)|0,a=a+Math.imul(m,ht)|0;var Mt=(u+(n=n+Math.imul(d,dt)|0)|0)+((8191&(i=(i=i+Math.imul(d,vt)|0)+Math.imul(v,dt)|0))<<13)|0;u=((a=a+Math.imul(v,vt)|0)+(i>>>13)|0)+(Mt>>>26)|0,Mt&=67108863,n=Math.imul(B,Y),i=(i=Math.imul(B,X))+Math.imul(N,Y)|0,a=Math.imul(N,X),n=n+Math.imul(z,K)|0,i=(i=i+Math.imul(z,J)|0)+Math.imul(R,K)|0,a=a+Math.imul(R,J)|0,n=n+Math.imul(O,Q)|0,i=(i=i+Math.imul(O,tt)|0)+Math.imul(I,Q)|0,a=a+Math.imul(I,tt)|0,n=n+Math.imul(L,rt)|0,i=(i=i+Math.imul(L,nt)|0)+Math.imul(C,rt)|0,a=a+Math.imul(C,nt)|0,n=n+Math.imul(M,at)|0,i=(i=i+Math.imul(M,ot)|0)+Math.imul(S,at)|0,a=a+Math.imul(S,ot)|0,n=n+Math.imul(T,lt)|0,i=(i=i+Math.imul(T,ut)|0)+Math.imul(k,lt)|0,a=a+Math.imul(k,ut)|0,n=n+Math.imul(b,ft)|0,i=(i=i+Math.imul(b,ht)|0)+Math.imul(_,ft)|0,a=a+Math.imul(_,ht)|0;var St=(u+(n=n+Math.imul(y,dt)|0)|0)+((8191&(i=(i=i+Math.imul(y,vt)|0)+Math.imul(m,dt)|0))<<13)|0;u=((a=a+Math.imul(m,vt)|0)+(i>>>13)|0)+(St>>>26)|0,St&=67108863,n=Math.imul(B,K),i=(i=Math.imul(B,J))+Math.imul(N,K)|0,a=Math.imul(N,J),n=n+Math.imul(z,Q)|0,i=(i=i+Math.imul(z,tt)|0)+Math.imul(R,Q)|0,a=a+Math.imul(R,tt)|0,n=n+Math.imul(O,rt)|0,i=(i=i+Math.imul(O,nt)|0)+Math.imul(I,rt)|0,a=a+Math.imul(I,nt)|0,n=n+Math.imul(L,at)|0,i=(i=i+Math.imul(L,ot)|0)+Math.imul(C,at)|0,a=a+Math.imul(C,ot)|0,n=n+Math.imul(M,lt)|0,i=(i=i+Math.imul(M,ut)|0)+Math.imul(S,lt)|0,a=a+Math.imul(S,ut)|0,n=n+Math.imul(T,ft)|0,i=(i=i+Math.imul(T,ht)|0)+Math.imul(k,ft)|0,a=a+Math.imul(k,ht)|0;var Et=(u+(n=n+Math.imul(b,dt)|0)|0)+((8191&(i=(i=i+Math.imul(b,vt)|0)+Math.imul(_,dt)|0))<<13)|0;u=((a=a+Math.imul(_,vt)|0)+(i>>>13)|0)+(Et>>>26)|0,Et&=67108863,n=Math.imul(B,Q),i=(i=Math.imul(B,tt))+Math.imul(N,Q)|0,a=Math.imul(N,tt),n=n+Math.imul(z,rt)|0,i=(i=i+Math.imul(z,nt)|0)+Math.imul(R,rt)|0,a=a+Math.imul(R,nt)|0,n=n+Math.imul(O,at)|0,i=(i=i+Math.imul(O,ot)|0)+Math.imul(I,at)|0,a=a+Math.imul(I,ot)|0,n=n+Math.imul(L,lt)|0,i=(i=i+Math.imul(L,ut)|0)+Math.imul(C,lt)|0,a=a+Math.imul(C,ut)|0,n=n+Math.imul(M,ft)|0,i=(i=i+Math.imul(M,ht)|0)+Math.imul(S,ft)|0,a=a+Math.imul(S,ht)|0;var Lt=(u+(n=n+Math.imul(T,dt)|0)|0)+((8191&(i=(i=i+Math.imul(T,vt)|0)+Math.imul(k,dt)|0))<<13)|0;u=((a=a+Math.imul(k,vt)|0)+(i>>>13)|0)+(Lt>>>26)|0,Lt&=67108863,n=Math.imul(B,rt),i=(i=Math.imul(B,nt))+Math.imul(N,rt)|0,a=Math.imul(N,nt),n=n+Math.imul(z,at)|0,i=(i=i+Math.imul(z,ot)|0)+Math.imul(R,at)|0,a=a+Math.imul(R,ot)|0,n=n+Math.imul(O,lt)|0,i=(i=i+Math.imul(O,ut)|0)+Math.imul(I,lt)|0,a=a+Math.imul(I,ut)|0,n=n+Math.imul(L,ft)|0,i=(i=i+Math.imul(L,ht)|0)+Math.imul(C,ft)|0,a=a+Math.imul(C,ht)|0;var Ct=(u+(n=n+Math.imul(M,dt)|0)|0)+((8191&(i=(i=i+Math.imul(M,vt)|0)+Math.imul(S,dt)|0))<<13)|0;u=((a=a+Math.imul(S,vt)|0)+(i>>>13)|0)+(Ct>>>26)|0,Ct&=67108863,n=Math.imul(B,at),i=(i=Math.imul(B,ot))+Math.imul(N,at)|0,a=Math.imul(N,ot),n=n+Math.imul(z,lt)|0,i=(i=i+Math.imul(z,ut)|0)+Math.imul(R,lt)|0,a=a+Math.imul(R,ut)|0,n=n+Math.imul(O,ft)|0,i=(i=i+Math.imul(O,ht)|0)+Math.imul(I,ft)|0,a=a+Math.imul(I,ht)|0;var Pt=(u+(n=n+Math.imul(L,dt)|0)|0)+((8191&(i=(i=i+Math.imul(L,vt)|0)+Math.imul(C,dt)|0))<<13)|0;u=((a=a+Math.imul(C,vt)|0)+(i>>>13)|0)+(Pt>>>26)|0,Pt&=67108863,n=Math.imul(B,lt),i=(i=Math.imul(B,ut))+Math.imul(N,lt)|0,a=Math.imul(N,ut),n=n+Math.imul(z,ft)|0,i=(i=i+Math.imul(z,ht)|0)+Math.imul(R,ft)|0,a=a+Math.imul(R,ht)|0;var Ot=(u+(n=n+Math.imul(O,dt)|0)|0)+((8191&(i=(i=i+Math.imul(O,vt)|0)+Math.imul(I,dt)|0))<<13)|0;u=((a=a+Math.imul(I,vt)|0)+(i>>>13)|0)+(Ot>>>26)|0,Ot&=67108863,n=Math.imul(B,ft),i=(i=Math.imul(B,ht))+Math.imul(N,ft)|0,a=Math.imul(N,ht);var It=(u+(n=n+Math.imul(z,dt)|0)|0)+((8191&(i=(i=i+Math.imul(z,vt)|0)+Math.imul(R,dt)|0))<<13)|0;u=((a=a+Math.imul(R,vt)|0)+(i>>>13)|0)+(It>>>26)|0,It&=67108863;var Dt=(u+(n=Math.imul(B,dt))|0)+((8191&(i=(i=Math.imul(B,vt))+Math.imul(N,dt)|0))<<13)|0;return u=((a=Math.imul(N,vt))+(i>>>13)|0)+(Dt>>>26)|0,Dt&=67108863,l[0]=gt,l[1]=yt,l[2]=mt,l[3]=xt,l[4]=bt,l[5]=_t,l[6]=wt,l[7]=Tt,l[8]=kt,l[9]=At,l[10]=Mt,l[11]=St,l[12]=Et,l[13]=Lt,l[14]=Ct,l[15]=Pt,l[16]=Ot,l[17]=It,l[18]=Dt,0!==u&&(l[19]=u,r.length++),r};function v(t,e,r){return(new g).mulp(t,e,r)}function g(t,e){this.x=t,this.y=e}Math.imul||(d=p),a.prototype.mulTo=function(t,e){var r,n=this.length+t.length;return r=10===this.length&&10===t.length?d(this,t,e):n<63?p(this,t,e):n<1024?function(t,e,r){r.negative=e.negative^t.negative,r.length=t.length+e.length;for(var n=0,i=0,a=0;a>>26)|0)>>>26,o&=67108863}r.words[a]=s,n=o,o=i}return 0!==n?r.words[a]=n:r.length--,r.strip()}(this,t,e):v(this,t,e),r},g.prototype.makeRBT=function(t){for(var e=new Array(t),r=a.prototype._countBits(t)-1,n=0;n>=1;return n},g.prototype.permute=function(t,e,r,n,i,a){for(var o=0;o>>=1)i++;return 1<>>=13,r[2*o+1]=8191&a,a>>>=13;for(o=2*e;o>=26,e+=i/67108864|0,e+=a>>>26,this.words[r]=67108863&a}return 0!==e&&(this.words[r]=e,this.length++),this},a.prototype.muln=function(t){return this.clone().imuln(t)},a.prototype.sqr=function(){return this.mul(this)},a.prototype.isqr=function(){return this.imul(this.clone())},a.prototype.pow=function(t){var e=function(t){for(var e=new Array(t.bitLength()),r=0;r>>i}return e}(t);if(0===e.length)return new a(1);for(var r=this,n=0;n=0);var e,r=t%26,i=(t-r)/26,a=67108863>>>26-r<<26-r;if(0!==r){var o=0;for(e=0;e>>26-r}o&&(this.words[e]=o,this.length++)}if(0!==i){for(e=this.length-1;e>=0;e--)this.words[e+i]=this.words[e];for(e=0;e=0),i=e?(e-e%26)/26:0;var a=t%26,o=Math.min((t-a)/26,this.length),s=67108863^67108863>>>a<o)for(this.length-=o,u=0;u=0&&(0!==c||u>=i);u--){var f=0|this.words[u];this.words[u]=c<<26-a|f>>>a,c=f&s}return l&&0!==c&&(l.words[l.length++]=c),0===this.length&&(this.words[0]=0,this.length=1),this.strip()},a.prototype.ishrn=function(t,e,r){return n(0===this.negative),this.iushrn(t,e,r)},a.prototype.shln=function(t){return this.clone().ishln(t)},a.prototype.ushln=function(t){return this.clone().iushln(t)},a.prototype.shrn=function(t){return this.clone().ishrn(t)},a.prototype.ushrn=function(t){return this.clone().iushrn(t)},a.prototype.testn=function(t){n("number"==typeof t&&t>=0);var e=t%26,r=(t-e)/26,i=1<=0);var e=t%26,r=(t-e)/26;if(n(0===this.negative,"imaskn works only with positive numbers"),this.length<=r)return this;if(0!==e&&r++,this.length=Math.min(r,this.length),0!==e){var i=67108863^67108863>>>e<=67108864;e++)this.words[e]-=67108864,e===this.length-1?this.words[e+1]=1:this.words[e+1]++;return this.length=Math.max(this.length,e+1),this},a.prototype.isubn=function(t){if(n("number"==typeof t),n(t<67108864),t<0)return this.iaddn(-t);if(0!==this.negative)return this.negative=0,this.iaddn(t),this.negative=1,this;if(this.words[0]-=t,1===this.length&&this.words[0]<0)this.words[0]=-this.words[0],this.negative=1;else for(var e=0;e>26)-(l/67108864|0),this.words[i+r]=67108863&a}for(;i>26,this.words[i+r]=67108863&a;if(0===s)return this.strip();for(n(-1===s),s=0,i=0;i>26,this.words[i]=67108863&a;return this.negative=1,this.strip()},a.prototype._wordDiv=function(t,e){var r=(this.length,t.length),n=this.clone(),i=t,o=0|i.words[i.length-1];0!=(r=26-this._countBits(o))&&(i=i.ushln(r),n.iushln(r),o=0|i.words[i.length-1]);var s,l=n.length-i.length;if("mod"!==e){(s=new a(null)).length=l+1,s.words=new Array(s.length);for(var u=0;u=0;f--){var h=67108864*(0|n.words[i.length+f])+(0|n.words[i.length+f-1]);for(h=Math.min(h/o|0,67108863),n._ishlnsubmul(i,h,f);0!==n.negative;)h--,n.negative=0,n._ishlnsubmul(i,1,f),n.isZero()||(n.negative^=1);s&&(s.words[f]=h)}return s&&s.strip(),n.strip(),"div"!==e&&0!==r&&n.iushrn(r),{div:s||null,mod:n}},a.prototype.divmod=function(t,e,r){return n(!t.isZero()),this.isZero()?{div:new a(0),mod:new a(0)}:0!==this.negative&&0===t.negative?(s=this.neg().divmod(t,e),"mod"!==e&&(i=s.div.neg()),"div"!==e&&(o=s.mod.neg(),r&&0!==o.negative&&o.iadd(t)),{div:i,mod:o}):0===this.negative&&0!==t.negative?(s=this.divmod(t.neg(),e),"mod"!==e&&(i=s.div.neg()),{div:i,mod:s.mod}):0!=(this.negative&t.negative)?(s=this.neg().divmod(t.neg(),e),"div"!==e&&(o=s.mod.neg(),r&&0!==o.negative&&o.isub(t)),{div:s.div,mod:o}):t.length>this.length||this.cmp(t)<0?{div:new a(0),mod:this}:1===t.length?"div"===e?{div:this.divn(t.words[0]),mod:null}:"mod"===e?{div:null,mod:new a(this.modn(t.words[0]))}:{div:this.divn(t.words[0]),mod:new a(this.modn(t.words[0]))}:this._wordDiv(t,e);var i,o,s},a.prototype.div=function(t){return this.divmod(t,"div",!1).div},a.prototype.mod=function(t){return this.divmod(t,"mod",!1).mod},a.prototype.umod=function(t){return this.divmod(t,"mod",!0).mod},a.prototype.divRound=function(t){var e=this.divmod(t);if(e.mod.isZero())return e.div;var r=0!==e.div.negative?e.mod.isub(t):e.mod,n=t.ushrn(1),i=t.andln(1),a=r.cmp(n);return a<0||1===i&&0===a?e.div:0!==e.div.negative?e.div.isubn(1):e.div.iaddn(1)},a.prototype.modn=function(t){n(t<=67108863);for(var e=(1<<26)%t,r=0,i=this.length-1;i>=0;i--)r=(e*r+(0|this.words[i]))%t;return r},a.prototype.idivn=function(t){n(t<=67108863);for(var e=0,r=this.length-1;r>=0;r--){var i=(0|this.words[r])+67108864*e;this.words[r]=i/t|0,e=i%t}return this.strip()},a.prototype.divn=function(t){return this.clone().idivn(t)},a.prototype.egcd=function(t){n(0===t.negative),n(!t.isZero());var e=this,r=t.clone();e=0!==e.negative?e.umod(t):e.clone();for(var i=new a(1),o=new a(0),s=new a(0),l=new a(1),u=0;e.isEven()&&r.isEven();)e.iushrn(1),r.iushrn(1),++u;for(var c=r.clone(),f=e.clone();!e.isZero();){for(var h=0,p=1;0==(e.words[0]&p)&&h<26;++h,p<<=1);if(h>0)for(e.iushrn(h);h-- >0;)(i.isOdd()||o.isOdd())&&(i.iadd(c),o.isub(f)),i.iushrn(1),o.iushrn(1);for(var d=0,v=1;0==(r.words[0]&v)&&d<26;++d,v<<=1);if(d>0)for(r.iushrn(d);d-- >0;)(s.isOdd()||l.isOdd())&&(s.iadd(c),l.isub(f)),s.iushrn(1),l.iushrn(1);e.cmp(r)>=0?(e.isub(r),i.isub(s),o.isub(l)):(r.isub(e),s.isub(i),l.isub(o))}return{a:s,b:l,gcd:r.iushln(u)}},a.prototype._invmp=function(t){n(0===t.negative),n(!t.isZero());var e=this,r=t.clone();e=0!==e.negative?e.umod(t):e.clone();for(var i,o=new a(1),s=new a(0),l=r.clone();e.cmpn(1)>0&&r.cmpn(1)>0;){for(var u=0,c=1;0==(e.words[0]&c)&&u<26;++u,c<<=1);if(u>0)for(e.iushrn(u);u-- >0;)o.isOdd()&&o.iadd(l),o.iushrn(1);for(var f=0,h=1;0==(r.words[0]&h)&&f<26;++f,h<<=1);if(f>0)for(r.iushrn(f);f-- >0;)s.isOdd()&&s.iadd(l),s.iushrn(1);e.cmp(r)>=0?(e.isub(r),o.isub(s)):(r.isub(e),s.isub(o))}return(i=0===e.cmpn(1)?o:s).cmpn(0)<0&&i.iadd(t),i},a.prototype.gcd=function(t){if(this.isZero())return t.abs();if(t.isZero())return this.abs();var e=this.clone(),r=t.clone();e.negative=0,r.negative=0;for(var n=0;e.isEven()&&r.isEven();n++)e.iushrn(1),r.iushrn(1);for(;;){for(;e.isEven();)e.iushrn(1);for(;r.isEven();)r.iushrn(1);var i=e.cmp(r);if(i<0){var a=e;e=r,r=a}else if(0===i||0===r.cmpn(1))break;e.isub(r)}return r.iushln(n)},a.prototype.invm=function(t){return this.egcd(t).a.umod(t)},a.prototype.isEven=function(){return 0==(1&this.words[0])},a.prototype.isOdd=function(){return 1==(1&this.words[0])},a.prototype.andln=function(t){return this.words[0]&t},a.prototype.bincn=function(t){n("number"==typeof t);var e=t%26,r=(t-e)/26,i=1<>>26,s&=67108863,this.words[o]=s}return 0!==a&&(this.words[o]=a,this.length++),this},a.prototype.isZero=function(){return 1===this.length&&0===this.words[0]},a.prototype.cmpn=function(t){var e,r=t<0;if(0!==this.negative&&!r)return-1;if(0===this.negative&&r)return 1;if(this.strip(),this.length>1)e=1;else{r&&(t=-t),n(t<=67108863,"Number is too big");var i=0|this.words[0];e=i===t?0:it.length)return 1;if(this.length=0;r--){var n=0|this.words[r],i=0|t.words[r];if(n!==i){ni&&(e=1);break}}return e},a.prototype.gtn=function(t){return 1===this.cmpn(t)},a.prototype.gt=function(t){return 1===this.cmp(t)},a.prototype.gten=function(t){return this.cmpn(t)>=0},a.prototype.gte=function(t){return this.cmp(t)>=0},a.prototype.ltn=function(t){return-1===this.cmpn(t)},a.prototype.lt=function(t){return-1===this.cmp(t)},a.prototype.lten=function(t){return this.cmpn(t)<=0},a.prototype.lte=function(t){return this.cmp(t)<=0},a.prototype.eqn=function(t){return 0===this.cmpn(t)},a.prototype.eq=function(t){return 0===this.cmp(t)},a.red=function(t){return new T(t)},a.prototype.toRed=function(t){return n(!this.red,"Already a number in reduction context"),n(0===this.negative,"red works only with positives"),t.convertTo(this)._forceRed(t)},a.prototype.fromRed=function(){return n(this.red,"fromRed works only with numbers in reduction context"),this.red.convertFrom(this)},a.prototype._forceRed=function(t){return this.red=t,this},a.prototype.forceRed=function(t){return n(!this.red,"Already a number in reduction context"),this._forceRed(t)},a.prototype.redAdd=function(t){return n(this.red,"redAdd works only with red numbers"),this.red.add(this,t)},a.prototype.redIAdd=function(t){return n(this.red,"redIAdd works only with red numbers"),this.red.iadd(this,t)},a.prototype.redSub=function(t){return n(this.red,"redSub works only with red numbers"),this.red.sub(this,t)},a.prototype.redISub=function(t){return n(this.red,"redISub works only with red numbers"),this.red.isub(this,t)},a.prototype.redShl=function(t){return n(this.red,"redShl works only with red numbers"),this.red.shl(this,t)},a.prototype.redMul=function(t){return n(this.red,"redMul works only with red numbers"),this.red._verify2(this,t),this.red.mul(this,t)},a.prototype.redIMul=function(t){return n(this.red,"redMul works only with red numbers"),this.red._verify2(this,t),this.red.imul(this,t)},a.prototype.redSqr=function(){return n(this.red,"redSqr works only with red numbers"),this.red._verify1(this),this.red.sqr(this)},a.prototype.redISqr=function(){return n(this.red,"redISqr works only with red numbers"),this.red._verify1(this),this.red.isqr(this)},a.prototype.redSqrt=function(){return n(this.red,"redSqrt works only with red numbers"),this.red._verify1(this),this.red.sqrt(this)},a.prototype.redInvm=function(){return n(this.red,"redInvm works only with red numbers"),this.red._verify1(this),this.red.invm(this)},a.prototype.redNeg=function(){return n(this.red,"redNeg works only with red numbers"),this.red._verify1(this),this.red.neg(this)},a.prototype.redPow=function(t){return n(this.red&&!t.red,"redPow(normalNum)"),this.red._verify1(this),this.red.pow(this,t)};var y={k256:null,p224:null,p192:null,p25519:null};function m(t,e){this.name=t,this.p=new a(e,16),this.n=this.p.bitLength(),this.k=new a(1).iushln(this.n).isub(this.p),this.tmp=this._tmp()}function x(){m.call(this,"k256","ffffffff ffffffff ffffffff ffffffff ffffffff ffffffff fffffffe fffffc2f")}function b(){m.call(this,"p224","ffffffff ffffffff ffffffff ffffffff 00000000 00000000 00000001")}function _(){m.call(this,"p192","ffffffff ffffffff ffffffff fffffffe ffffffff ffffffff")}function w(){m.call(this,"25519","7fffffffffffffff ffffffffffffffff ffffffffffffffff ffffffffffffffed")}function T(t){if("string"==typeof t){var e=a._prime(t);this.m=e.p,this.prime=e}else n(t.gtn(1),"modulus must be greater than 1"),this.m=t,this.prime=null}function k(t){T.call(this,t),this.shift=this.m.bitLength(),this.shift%26!=0&&(this.shift+=26-this.shift%26),this.r=new a(1).iushln(this.shift),this.r2=this.imod(this.r.sqr()),this.rinv=this.r._invmp(this.m),this.minv=this.rinv.mul(this.r).isubn(1).div(this.m),this.minv=this.minv.umod(this.r),this.minv=this.r.sub(this.minv)}m.prototype._tmp=function(){var t=new a(null);return t.words=new Array(Math.ceil(this.n/13)),t},m.prototype.ireduce=function(t){var 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v=l("labels");l("labelFont")&&(v=!0),o("labelEnable"),a("labelSize"),a("labelPad"),u("labelColor"),o("lineEnable"),o("lineMirror"),a("lineWidth"),u("lineColor"),o("lineTickEnable"),o("lineTickMirror"),a("lineTickLength"),a("lineTickWidth"),u("lineTickColor"),o("gridEnable"),a("gridWidth"),u("gridColor"),o("zeroEnable"),u("zeroLineColor"),a("zeroLineWidth"),o("backgroundEnable"),u("backgroundColor"),this._text?this._text&&(v||c)&&this._text.update(this.bounds,this.labels,this.labelFont,this.ticks,this.tickFont):this._text=n(this.gl,this.bounds,this.labels,this.labelFont,this.ticks,this.tickFont),this._lines&&c&&(this._lines.dispose(),this._lines=null),this._lines||(this._lines=i(this.gl,this.bounds,this.ticks))};var p=[new h,new h,new h];function d(t,e,r,n,i){for(var a=t.primalOffset,o=t.primalMinor,s=t.mirrorOffset,l=t.mirrorMinor,u=n[e],c=0;c<3;++c)if(e!==c){var f=a,h=s,p=o,d=l;u&1<0?(p[c]=-1,d[c]=0):(p[c]=0,d[c]=1)}}var v=[0,0,0],g={model:l,view:l,projection:l,_ortho:!1};f.isOpaque=function(){return!0},f.isTransparent=function(){return!1},f.drawTransparent=function(t){};var y=[0,0,0],m=[0,0,0],x=[0,0,0];f.draw=function(t){t=t||g;for(var e=this.gl,r=t.model||l,n=t.view||l,i=t.projection||l,a=this.bounds,s=t._ortho||!1,c=o(r,n,i,a,s),f=c.cubeEdges,h=c.axis,b=n[12],_=n[13],w=n[14],T=n[15],k=(s?2:1)*this.pixelRatio*(i[3]*b+i[7]*_+i[11]*w+i[15]*T)/e.drawingBufferHeight,A=0;A<3;++A)this.lastCubeProps.cubeEdges[A]=f[A],this.lastCubeProps.axis[A]=h[A];var M=p;for(A=0;A<3;++A)d(p[A],A,this.bounds,f,h);e=this.gl;var S,E,L,C=v;for(A=0;A<3;++A)this.backgroundEnable[A]?C[A]=h[A]:C[A]=0;for(this._background.draw(r,n,i,a,C,this.backgroundColor),this._lines.bind(r,n,i,this),A=0;A<3;++A){var P=[0,0,0];h[A]>0?P[A]=a[1][A]:P[A]=a[0][A];for(var O=0;O<2;++O){var I=(A+1+O)%3,D=(A+1+(1^O))%3;this.gridEnable[I]&&this._lines.drawGrid(I,D,this.bounds,P,this.gridColor[I],this.gridWidth[I]*this.pixelRatio)}for(O=0;O<2;++O)I=(A+1+O)%3,D=(A+1+(1^O))%3,this.zeroEnable[D]&&Math.min(a[0][D],a[1][D])<=0&&Math.max(a[0][D],a[1][D])>=0&&this._lines.drawZero(I,D,this.bounds,P,this.zeroLineColor[D],this.zeroLineWidth[D]*this.pixelRatio)}for(A=0;A<3;++A){this.lineEnable[A]&&this._lines.drawAxisLine(A,this.bounds,M[A].primalOffset,this.lineColor[A],this.lineWidth[A]*this.pixelRatio),this.lineMirror[A]&&this._lines.drawAxisLine(A,this.bounds,M[A].mirrorOffset,this.lineColor[A],this.lineWidth[A]*this.pixelRatio);var z=u(y,M[A].primalMinor),R=u(m,M[A].mirrorMinor),F=this.lineTickLength;for(O=0;O<3;++O){var B=k/r[5*O];z[O]*=F[O]*B,R[O]*=F[O]*B}this.lineTickEnable[A]&&this._lines.drawAxisTicks(A,M[A].primalOffset,z,this.lineTickColor[A],this.lineTickWidth[A]*this.pixelRatio),this.lineTickMirror[A]&&this._lines.drawAxisTicks(A,M[A].mirrorOffset,R,this.lineTickColor[A],this.lineTickWidth[A]*this.pixelRatio)}function N(t){(L=[0,0,0])[t]=1}function j(t,e,r){var n=(t+1)%3,i=(t+2)%3,a=e[n],o=e[i],s=r[n],l=r[i];a>0&&l>0||a>0&&l<0||a<0&&l>0||a<0&&l<0?N(n):(o>0&&s>0||o>0&&s<0||o<0&&s>0||o<0&&s<0)&&N(i)}for(this._lines.unbind(),this._text.bind(r,n,i,this.pixelRatio),A=0;A<3;++A){var U=M[A].primalMinor,V=M[A].mirrorMinor,q=u(x,M[A].primalOffset);for(O=0;O<3;++O)this.lineTickEnable[A]&&(q[O]+=k*U[O]*Math.max(this.lineTickLength[O],0)/r[5*O]);var H=[0,0,0];if(H[A]=1,this.tickEnable[A]){for(-3600===this.tickAngle[A]?(this.tickAngle[A]=0,this.tickAlign[A]="auto"):this.tickAlign[A]=-1,E=1,"auto"===(S=[this.tickAlign[A],.5,E])[0]?S[0]=0:S[0]=parseInt(""+S[0]),L=[0,0,0],j(A,U,V),O=0;O<3;++O)q[O]+=k*U[O]*this.tickPad[O]/r[5*O];this._text.drawTicks(A,this.tickSize[A],this.tickAngle[A],q,this.tickColor[A],H,L,S)}if(this.labelEnable[A]){for(E=0,L=[0,0,0],this.labels[A].length>4&&(N(A),E=1),"auto"===(S=[this.labelAlign[A],.5,E])[0]?S[0]=0:S[0]=parseInt(""+S[0]),O=0;O<3;++O)q[O]+=k*U[O]*this.labelPad[O]/r[5*O];q[A]+=.5*(a[0][A]+a[1][A]),this._text.drawLabel(A,this.labelSize[A],this.labelAngle[A],q,this.labelColor[A],[0,0,0],L,S)}}this._text.unbind()},f.dispose=function(){this._text.dispose(),this._lines.dispose(),this._background.dispose(),this._lines=null,this._text=null,this._background=null,this.gl=null}},1011:function(t,e,r){"use strict";t.exports=function(t){for(var e=[],r=[],s=0,l=0;l<3;++l)for(var u=(l+1)%3,c=(l+2)%3,f=[0,0,0],h=[0,0,0],p=-1;p<=1;p+=2){r.push(s,s+2,s+1,s+1,s+2,s+3),f[l]=p,h[l]=p;for(var d=-1;d<=1;d+=2){f[u]=d;for(var v=-1;v<=1;v+=2)f[c]=v,e.push(f[0],f[1],f[2],h[0],h[1],h[2]),s+=1}var g=u;u=c,c=g}var y=n(t,new Float32Array(e)),m=n(t,new Uint16Array(r),t.ELEMENT_ARRAY_BUFFER),x=i(t,[{buffer:y,type:t.FLOAT,size:3,offset:0,stride:24},{buffer:y,type:t.FLOAT,size:3,offset:12,stride:24}],m),b=a(t);return b.attributes.position.location=0,b.attributes.normal.location=1,new o(t,y,x,b)};var n=r(5827),i=r(2944),a=r(1943).bg;function o(t,e,r,n){this.gl=t,this.buffer=e,this.vao=r,this.shader=n}var s=o.prototype;s.draw=function(t,e,r,n,i,a){for(var o=!1,s=0;s<3;++s)o=o||i[s];if(o){var l=this.gl;l.enable(l.POLYGON_OFFSET_FILL),l.polygonOffset(1,2),this.shader.bind(),this.shader.uniforms={model:t,view:e,projection:r,bounds:n,enable:i,colors:a},this.vao.bind(),this.vao.draw(this.gl.TRIANGLES,36),this.vao.unbind(),l.disable(l.POLYGON_OFFSET_FILL)}},s.dispose=function(){this.vao.dispose(),this.buffer.dispose(),this.shader.dispose()}},2864:function(t,e,r){"use strict";t.exports=function(t,e,r,a,p){i(s,e,t),i(s,r,s);for(var m=0,x=0;x<2;++x){c[2]=a[x][2];for(var b=0;b<2;++b){c[1]=a[b][1];for(var _=0;_<2;++_)c[0]=a[_][0],h(l[m],c,s),m+=1}}var w=-1;for(x=0;x<8;++x){for(var T=l[x][3],k=0;k<3;++k)u[x][k]=l[x][k]/T;p&&(u[x][2]*=-1),T<0&&(w<0||u[x][2]E&&(w|=1<E&&(w|=1<u[x][1])&&(R=x);var F=-1;for(x=0;x<3;++x)(N=R^1<u[B][0]&&(B=N))}var j=v;j[0]=j[1]=j[2]=0,j[n.log2(F^R)]=R&F,j[n.log2(R^B)]=R&B;var U=7^B;U===w||U===z?(U=7^F,j[n.log2(B^U)]=U&B):j[n.log2(F^U)]=U&F;var V=g,q=w;for(A=0;A<3;++A)V[A]=q&1< HALF_PI) && (b <= ONE_AND_HALF_PI)) ?\n b - PI :\n b;\n}\n\nfloat look_horizontal_or_vertical(float a, float ratio) {\n // ratio controls the ratio between being horizontal to (vertical + horizontal)\n // if ratio is set to 0.5 then it is 50%, 50%.\n // when using a higher ratio e.g. 0.75 the result would\n // likely be more horizontal than vertical.\n\n float b = positive_angle(a);\n\n return\n (b < ( ratio) * HALF_PI) ? 0.0 :\n (b < (2.0 - ratio) * HALF_PI) ? -HALF_PI :\n (b < (2.0 + ratio) * HALF_PI) ? 0.0 :\n (b < (4.0 - ratio) * HALF_PI) ? HALF_PI :\n 0.0;\n}\n\nfloat roundTo(float a, float b) {\n return float(b * floor((a + 0.5 * b) / b));\n}\n\nfloat look_round_n_directions(float a, int n) {\n float b = positive_angle(a);\n float div = TWO_PI / float(n);\n float c = roundTo(b, div);\n return look_upwards(c);\n}\n\nfloat applyAlignOption(float rawAngle, float delta) {\n return\n (option > 2) ? look_round_n_directions(rawAngle + delta, option) : // option 3-n: round to n directions\n (option == 2) ? look_horizontal_or_vertical(rawAngle + delta, hv_ratio) : // horizontal or vertical\n (option == 1) ? rawAngle + delta : // use free angle, and flip to align with one direction of the axis\n (option == 0) ? look_upwards(rawAngle) : // use free angle, and stay upwards\n (option ==-1) ? 0.0 : // useful for backward compatibility, all texts remains horizontal\n rawAngle; // otherwise return back raw input angle\n}\n\nbool isAxisTitle = (axis.x == 0.0) &&\n (axis.y == 0.0) &&\n (axis.z == 0.0);\n\nvoid main() {\n //Compute world offset\n float axisDistance = position.z;\n vec3 dataPosition = axisDistance * axis + offset;\n\n float beta = angle; // i.e. user defined attributes for each tick\n\n float axisAngle;\n float clipAngle;\n float flip;\n\n if (enableAlign) {\n axisAngle = (isAxisTitle) ? HALF_PI :\n computeViewAngle(dataPosition, dataPosition + axis);\n clipAngle = computeViewAngle(dataPosition, dataPosition + alignDir);\n\n axisAngle += (sin(axisAngle) < 0.0) ? PI : 0.0;\n clipAngle += (sin(clipAngle) < 0.0) ? PI : 0.0;\n\n flip = (dot(vec2(cos(axisAngle), sin(axisAngle)),\n vec2(sin(clipAngle),-cos(clipAngle))) > 0.0) ? 1.0 : 0.0;\n\n beta += applyAlignOption(clipAngle, flip * PI);\n }\n\n //Compute plane offset\n vec2 planeCoord = position.xy * pixelScale;\n\n mat2 planeXform = scale * mat2(\n cos(beta), sin(beta),\n -sin(beta), cos(beta)\n );\n\n vec2 viewOffset = 2.0 * planeXform * planeCoord / resolution;\n\n //Compute clip position\n vec3 clipPosition = project(dataPosition);\n\n //Apply text offset in clip coordinates\n clipPosition += vec3(viewOffset, 0.0);\n\n //Done\n gl_Position = vec4(clipPosition, 1.0);\n}"]),l=n(["precision highp float;\n#define GLSLIFY 1\n\nuniform vec4 color;\nvoid main() {\n gl_FragColor = color;\n}"]);e.f=function(t){return i(t,s,l,null,[{name:"position",type:"vec3"}])};var u=n(["precision highp float;\n#define GLSLIFY 1\n\nattribute vec3 position;\nattribute vec3 normal;\n\nuniform mat4 model, view, projection;\nuniform vec3 enable;\nuniform vec3 bounds[2];\n\nvarying vec3 colorChannel;\n\nvoid main() {\n\n vec3 signAxis = sign(bounds[1] - bounds[0]);\n\n vec3 realNormal = signAxis * normal;\n\n if(dot(realNormal, enable) > 0.0) {\n vec3 minRange = min(bounds[0], bounds[1]);\n vec3 maxRange = max(bounds[0], bounds[1]);\n vec3 nPosition = mix(minRange, maxRange, 0.5 * (position + 1.0));\n gl_Position = projection * view * model * vec4(nPosition, 1.0);\n } else {\n gl_Position = vec4(0,0,0,0);\n }\n\n colorChannel = abs(realNormal);\n}"]),c=n(["precision highp float;\n#define GLSLIFY 1\n\nuniform vec4 colors[3];\n\nvarying vec3 colorChannel;\n\nvoid main() {\n gl_FragColor = colorChannel.x * colors[0] +\n colorChannel.y * colors[1] +\n colorChannel.z * colors[2];\n}"]);e.bg=function(t){return i(t,u,c,null,[{name:"position",type:"vec3"},{name:"normal",type:"vec3"}])}},9557:function(t,e,r){"use strict";t.exports=function(t,e,r,i,o,l){var u=n(t),f=a(t,[{buffer:u,size:3}]),h=s(t);h.attributes.position.location=0;var p=new c(t,h,u,f);return p.update(e,r,i,o,l),p};var n=r(5827),a=r(2944),o=r(875),s=r(1943).f,l=window||i.global||{},u=l.__TEXT_CACHE||{};function c(t,e,r,n){this.gl=t,this.shader=e,this.buffer=r,this.vao=n,this.tickOffset=this.tickCount=this.labelOffset=this.labelCount=null}l.__TEXT_CACHE={};var f=c.prototype,h=[0,0];f.bind=function(t,e,r,n){this.vao.bind(),this.shader.bind();var i=this.shader.uniforms;i.model=t,i.view=e,i.projection=r,i.pixelScale=n,h[0]=this.gl.drawingBufferWidth,h[1]=this.gl.drawingBufferHeight,this.shader.uniforms.resolution=h},f.unbind=function(){this.vao.unbind()},f.update=function(t,e,r,n,i){var a=[];function s(t,e,r,n,i,s){var l=u[r];l||(l=u[r]={});var c=l[e];c||(c=l[e]=function(t,e){try{return o(t,e)}catch(e){return console.warn('error vectorizing text:"'+t+'" error:',e),{cells:[],positions:[]}}}(e,{triangles:!0,font:r,textAlign:"center",textBaseline:"middle",lineSpacing:i,styletags:s}));for(var f=(n||12)/12,h=c.positions,p=c.cells,d=0,v=p.length;d=0;--y){var m=h[g[y]];a.push(f*m[0],-f*m[1],t)}}for(var l=[0,0,0],c=[0,0,0],f=[0,0,0],h=[0,0,0],p={breaklines:!0,bolds:!0,italics:!0,subscripts:!0,superscripts:!0},d=0;d<3;++d){f[d]=a.length/3|0,s(.5*(t[0][d]+t[1][d]),e[d],r[d],12,1.25,p),h[d]=(a.length/3|0)-f[d],l[d]=a.length/3|0;for(var v=0;v=0&&(i=r.length-n-1);var a=Math.pow(10,i),o=Math.round(t*e*a),s=o+"";if(s.indexOf("e")>=0)return s;var l=o/a,u=o%a;o<0?(l=0|-Math.ceil(l),u=0|-u):(l=0|Math.floor(l),u|=0);var c=""+l;if(o<0&&(c="-"+c),i){for(var f=""+u;f.length=t[0][i];--o)a.push({x:o*e[i],text:r(e[i],o)});n.push(a)}return n},e.equal=function(t,e){for(var r=0;r<3;++r){if(t[r].length!==e[r].length)return!1;for(var n=0;nr)throw new Error("gl-buffer: If resizing buffer, must not specify offset");return t.bufferSubData(e,a,i),r}function c(t,e){for(var r=n.malloc(t.length,e),i=t.length,a=0;a=0;--n){if(e[n]!==r)return!1;r*=t[n]}return!0}(t.shape,t.stride))0===t.offset&&t.data.length===t.shape[0]?this.length=u(this.gl,this.type,this.length,this.usage,t.data,e):this.length=u(this.gl,this.type,this.length,this.usage,t.data.subarray(t.offset,t.shape[0]),e);else{var s=n.malloc(t.size,r),l=a(s,t.shape);i.assign(l,t),this.length=u(this.gl,this.type,this.length,this.usage,e<0?s:s.subarray(0,t.size),e),n.free(s)}}else if(Array.isArray(t)){var f;f=this.type===this.gl.ELEMENT_ARRAY_BUFFER?c(t,"uint16"):c(t,"float32"),this.length=u(this.gl,this.type,this.length,this.usage,e<0?f:f.subarray(0,t.length),e),n.free(f)}else if("object"==typeof t&&"number"==typeof t.length)this.length=u(this.gl,this.type,this.length,this.usage,t,e);else{if("number"!=typeof t&&void 0!==t)throw new Error("gl-buffer: Invalid data type");if(e>=0)throw new Error("gl-buffer: Cannot specify offset when resizing buffer");(t|=0)<=0&&(t=1),this.gl.bufferData(this.type,0|t,this.usage),this.length=t}},t.exports=function(t,e,r,n){if(r=r||t.ARRAY_BUFFER,n=n||t.DYNAMIC_DRAW,r!==t.ARRAY_BUFFER&&r!==t.ELEMENT_ARRAY_BUFFER)throw new Error("gl-buffer: Invalid type for webgl buffer, must be either gl.ARRAY_BUFFER or gl.ELEMENT_ARRAY_BUFFER");if(n!==t.DYNAMIC_DRAW&&n!==t.STATIC_DRAW&&n!==t.STREAM_DRAW)throw new Error("gl-buffer: Invalid usage for buffer, must be either gl.DYNAMIC_DRAW, gl.STATIC_DRAW or gl.STREAM_DRAW");var i=t.createBuffer(),a=new s(t,r,i,0,n);return a.update(e),a}},1140:function(t,e,r){"use strict";var n=r(2858);t.exports=function(t,e){var r=t.positions,i=t.vectors,a={positions:[],vertexIntensity:[],vertexIntensityBounds:t.vertexIntensityBounds,vectors:[],cells:[],coneOffset:t.coneOffset,colormap:t.colormap};if(0===t.positions.length)return e&&(e[0]=[0,0,0],e[1]=[0,0,0]),a;for(var o=0,s=1/0,l=-1/0,u=1/0,c=-1/0,f=1/0,h=-1/0,p=null,d=null,v=[],g=1/0,y=!1,m=0;mo&&(o=n.length(b)),m){var _=2*n.distance(p,x)/(n.length(d)+n.length(b));_?(g=Math.min(g,_),y=!1):y=!0}y||(p=x,d=b),v.push(b)}var w=[s,u,f],T=[l,c,h];e&&(e[0]=w,e[1]=T),0===o&&(o=1);var k=1/o;isFinite(g)||(g=1),a.vectorScale=g;var A=t.coneSize||.5;t.absoluteConeSize&&(A=t.absoluteConeSize*k),a.coneScale=A,m=0;for(var M=0;m=1},p.isTransparent=function(){return this.opacity<1},p.pickSlots=1,p.setPickBase=function(t){this.pickId=t},p.update=function(t){t=t||{};var e=this.gl;this.dirty=!0,"lightPosition"in t&&(this.lightPosition=t.lightPosition),"opacity"in t&&(this.opacity=t.opacity),"ambient"in t&&(this.ambientLight=t.ambient),"diffuse"in t&&(this.diffuseLight=t.diffuse),"specular"in t&&(this.specularLight=t.specular),"roughness"in t&&(this.roughness=t.roughness),"fresnel"in t&&(this.fresnel=t.fresnel),void 0!==t.tubeScale&&(this.tubeScale=t.tubeScale),void 0!==t.vectorScale&&(this.vectorScale=t.vectorScale),void 0!==t.coneScale&&(this.coneScale=t.coneScale),void 0!==t.coneOffset&&(this.coneOffset=t.coneOffset),t.colormap&&(this.texture.shape=[256,256],this.texture.minFilter=e.LINEAR_MIPMAP_LINEAR,this.texture.magFilter=e.LINEAR,this.texture.setPixels(function(t){for(var e=c({colormap:t,nshades:256,format:"rgba"}),r=new Uint8Array(1024),n=0;n<256;++n){for(var i=e[n],a=0;a<3;++a)r[4*n+a]=i[a];r[4*n+3]=255*i[3]}return u(r,[256,256,4],[4,0,1])}(t.colormap)),this.texture.generateMipmap());var r=t.cells,n=t.positions,i=t.vectors;if(n&&r&&i){var a=[],o=[],s=[],l=[],f=[];this.cells=r,this.positions=n,this.vectors=i;var h=t.meshColor||[1,1,1,1],p=t.vertexIntensity,d=1/0,v=-1/0;if(p)if(t.vertexIntensityBounds)d=+t.vertexIntensityBounds[0],v=+t.vertexIntensityBounds[1];else for(var g=0;g0){var v=this.triShader;v.bind(),v.uniforms=u,this.triangleVAO.bind(),e.drawArrays(e.TRIANGLES,0,3*this.triangleCount),this.triangleVAO.unbind()}},p.drawPick=function(t){t=t||{};for(var e=this.gl,r=t.model||f,n=t.view||f,i=t.projection||f,a=[[-1e6,-1e6,-1e6],[1e6,1e6,1e6]],o=0;o<3;++o)a[0][o]=Math.max(a[0][o],this.clipBounds[0][o]),a[1][o]=Math.min(a[1][o],this.clipBounds[1][o]);this._model=[].slice.call(r),this._view=[].slice.call(n),this._projection=[].slice.call(i),this._resolution=[e.drawingBufferWidth,e.drawingBufferHeight];var s={model:r,view:n,projection:i,clipBounds:a,tubeScale:this.tubeScale,vectorScale:this.vectorScale,coneScale:this.coneScale,coneOffset:this.coneOffset,pickId:this.pickId/255},l=this.pickShader;l.bind(),l.uniforms=s,this.triangleCount>0&&(this.triangleVAO.bind(),e.drawArrays(e.TRIANGLES,0,3*this.triangleCount),this.triangleVAO.unbind())},p.pick=function(t){if(!t)return null;if(t.id!==this.pickId)return null;var e=t.value[0]+256*t.value[1]+65536*t.value[2],r=this.cells[e],n=this.positions[r[1]].slice(0,3),i={position:n,dataCoordinate:n,index:Math.floor(r[1]/48)};return"cone"===this.traceType?i.index=Math.floor(r[1]/48):"streamtube"===this.traceType&&(i.intensity=this.intensity[r[1]],i.velocity=this.vectors[r[1]].slice(0,3),i.divergence=this.vectors[r[1]][3],i.index=e),i},p.dispose=function(){this.texture.dispose(),this.triShader.dispose(),this.pickShader.dispose(),this.triangleVAO.dispose(),this.trianglePositions.dispose(),this.triangleVectors.dispose(),this.triangleColors.dispose(),this.triangleUVs.dispose(),this.triangleIds.dispose()},t.exports=function(t,e,r){var s=r.shaders;1===arguments.length&&(t=(e=t).gl);var l=function(t,e){var r=n(t,e.meshShader.vertex,e.meshShader.fragment,null,e.meshShader.attributes);return r.attributes.position.location=0,r.attributes.color.location=2,r.attributes.uv.location=3,r.attributes.vector.location=4,r}(t,s),c=function(t,e){var r=n(t,e.pickShader.vertex,e.pickShader.fragment,null,e.pickShader.attributes);return r.attributes.position.location=0,r.attributes.id.location=1,r.attributes.vector.location=4,r}(t,s),f=o(t,u(new Uint8Array([255,255,255,255]),[1,1,4]));f.generateMipmap(),f.minFilter=t.LINEAR_MIPMAP_LINEAR,f.magFilter=t.LINEAR;var p=i(t),d=i(t),v=i(t),g=i(t),y=i(t),m=new h(t,f,l,c,p,d,y,v,g,a(t,[{buffer:p,type:t.FLOAT,size:4},{buffer:y,type:t.UNSIGNED_BYTE,size:4,normalized:!0},{buffer:v,type:t.FLOAT,size:4},{buffer:g,type:t.FLOAT,size:2},{buffer:d,type:t.FLOAT,size:4}]),r.traceType||"cone");return m.update(e),m}},7234:function(t,e,r){var n=r(6832),i=n(["precision highp float;\n\nprecision highp float;\n#define GLSLIFY 1\n\nvec3 getOrthogonalVector(vec3 v) {\n // Return up-vector for only-z vector.\n // Return ax + by + cz = 0, a point that lies on the plane that has v as a normal and that isn't (0,0,0).\n // From the above if-statement we have ||a|| > 0 U ||b|| > 0.\n // Assign z = 0, x = -b, y = a:\n // a*-b + b*a + c*0 = -ba + ba + 0 = 0\n if (v.x*v.x > v.z*v.z || v.y*v.y > v.z*v.z) {\n return normalize(vec3(-v.y, v.x, 0.0));\n } else {\n return normalize(vec3(0.0, v.z, -v.y));\n }\n}\n\n// Calculate the cone vertex and normal at the given index.\n//\n// The returned vertex is for a cone with its top at origin and height of 1.0,\n// pointing in the direction of the vector attribute.\n//\n// Each cone is made up of a top vertex, a center base vertex and base perimeter vertices.\n// These vertices are used to make up the triangles of the cone by the following:\n// segment + 0 top vertex\n// segment + 1 perimeter vertex a+1\n// segment + 2 perimeter vertex a\n// segment + 3 center base vertex\n// segment + 4 perimeter vertex a\n// segment + 5 perimeter vertex a+1\n// Where segment is the number of the radial segment * 6 and a is the angle at that radial segment.\n// To go from index to segment, floor(index / 6)\n// To go from segment to angle, 2*pi * (segment/segmentCount)\n// To go from index to segment index, index - (segment*6)\n//\nvec3 getConePosition(vec3 d, float rawIndex, float coneOffset, out vec3 normal) {\n\n const float segmentCount = 8.0;\n\n float index = rawIndex - floor(rawIndex /\n (segmentCount * 6.0)) *\n (segmentCount * 6.0);\n\n float segment = floor(0.001 + index/6.0);\n float segmentIndex = index - (segment*6.0);\n\n normal = -normalize(d);\n\n if (segmentIndex > 2.99 && segmentIndex < 3.01) {\n return mix(vec3(0.0), -d, coneOffset);\n }\n\n float nextAngle = (\n (segmentIndex > 0.99 && segmentIndex < 1.01) ||\n (segmentIndex > 4.99 && segmentIndex < 5.01)\n ) ? 1.0 : 0.0;\n float angle = 2.0 * 3.14159 * ((segment + nextAngle) / segmentCount);\n\n vec3 v1 = mix(d, vec3(0.0), coneOffset);\n vec3 v2 = v1 - d;\n\n vec3 u = getOrthogonalVector(d);\n vec3 v = normalize(cross(u, d));\n\n vec3 x = u * cos(angle) * length(d)*0.25;\n vec3 y = v * sin(angle) * length(d)*0.25;\n vec3 v3 = v2 + x + y;\n if (segmentIndex < 3.0) {\n vec3 tx = u * sin(angle);\n vec3 ty = v * -cos(angle);\n vec3 tangent = tx + ty;\n normal = normalize(cross(v3 - v1, tangent));\n }\n\n if (segmentIndex == 0.0) {\n return mix(d, vec3(0.0), coneOffset);\n }\n return v3;\n}\n\nattribute vec3 vector;\nattribute vec4 color, position;\nattribute vec2 uv;\n\nuniform float vectorScale, coneScale, coneOffset;\nuniform mat4 model, view, projection, inverseModel;\nuniform vec3 eyePosition, lightPosition;\n\nvarying vec3 f_normal, f_lightDirection, f_eyeDirection, f_data, f_position;\nvarying vec4 f_color;\nvarying vec2 f_uv;\n\nvoid main() {\n // Scale the vector magnitude to stay constant with\n // model & view changes.\n vec3 normal;\n vec3 XYZ = getConePosition(mat3(model) * ((vectorScale * coneScale) * vector), position.w, coneOffset, normal);\n vec4 conePosition = model * vec4(position.xyz, 1.0) + vec4(XYZ, 0.0);\n\n //Lighting geometry parameters\n vec4 cameraCoordinate = view * conePosition;\n cameraCoordinate.xyz /= cameraCoordinate.w;\n f_lightDirection = lightPosition - cameraCoordinate.xyz;\n f_eyeDirection = eyePosition - cameraCoordinate.xyz;\n f_normal = normalize((vec4(normal, 0.0) * inverseModel).xyz);\n\n // vec4 m_position = model * vec4(conePosition, 1.0);\n vec4 t_position = view * conePosition;\n gl_Position = projection * t_position;\n\n f_color = color;\n f_data = conePosition.xyz;\n f_position = position.xyz;\n f_uv = uv;\n}\n"]),a=n(["#extension GL_OES_standard_derivatives : enable\n\nprecision highp float;\n#define GLSLIFY 1\n\nfloat beckmannDistribution(float x, float roughness) {\n float NdotH = max(x, 0.0001);\n float cos2Alpha = NdotH * NdotH;\n float tan2Alpha = (cos2Alpha - 1.0) / cos2Alpha;\n float roughness2 = roughness * roughness;\n float denom = 3.141592653589793 * roughness2 * cos2Alpha * cos2Alpha;\n return exp(tan2Alpha / roughness2) / denom;\n}\n\nfloat cookTorranceSpecular(\n vec3 lightDirection,\n vec3 viewDirection,\n vec3 surfaceNormal,\n float roughness,\n float fresnel) {\n\n float VdotN = max(dot(viewDirection, surfaceNormal), 0.0);\n float LdotN = max(dot(lightDirection, surfaceNormal), 0.0);\n\n //Half angle vector\n vec3 H = normalize(lightDirection + viewDirection);\n\n //Geometric term\n float NdotH = max(dot(surfaceNormal, H), 0.0);\n float VdotH = max(dot(viewDirection, H), 0.000001);\n float LdotH = max(dot(lightDirection, H), 0.000001);\n float G1 = (2.0 * NdotH * VdotN) / VdotH;\n float G2 = (2.0 * NdotH * LdotN) / LdotH;\n float G = min(1.0, min(G1, G2));\n \n //Distribution term\n float D = beckmannDistribution(NdotH, roughness);\n\n //Fresnel term\n float F = pow(1.0 - VdotN, fresnel);\n\n //Multiply terms and done\n return G * F * D / max(3.14159265 * VdotN, 0.000001);\n}\n\nbool outOfRange(float a, float b, float p) {\n return ((p > max(a, b)) || \n (p < min(a, b)));\n}\n\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\n return (outOfRange(a.x, b.x, p.x) ||\n outOfRange(a.y, b.y, p.y));\n}\n\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\n return (outOfRange(a.x, b.x, p.x) ||\n outOfRange(a.y, b.y, p.y) ||\n outOfRange(a.z, b.z, p.z));\n}\n\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\n return outOfRange(a.xyz, b.xyz, p.xyz);\n}\n\nuniform vec3 clipBounds[2];\nuniform float roughness, fresnel, kambient, kdiffuse, kspecular, opacity;\nuniform sampler2D texture;\n\nvarying vec3 f_normal, f_lightDirection, f_eyeDirection, f_data, f_position;\nvarying vec4 f_color;\nvarying vec2 f_uv;\n\nvoid main() {\n if (outOfRange(clipBounds[0], clipBounds[1], f_position)) discard;\n vec3 N = normalize(f_normal);\n vec3 L = normalize(f_lightDirection);\n vec3 V = normalize(f_eyeDirection);\n\n if(gl_FrontFacing) {\n N = -N;\n }\n\n float specular = min(1.0, max(0.0, cookTorranceSpecular(L, V, N, roughness, fresnel)));\n float diffuse = min(kambient + kdiffuse * max(dot(N, L), 0.0), 1.0);\n\n vec4 surfaceColor = f_color * texture2D(texture, f_uv);\n vec4 litColor = surfaceColor.a * vec4(diffuse * surfaceColor.rgb + kspecular * vec3(1,1,1) * specular, 1.0);\n\n gl_FragColor = litColor * opacity;\n}\n"]),o=n(["precision highp float;\n\nprecision highp float;\n#define GLSLIFY 1\n\nvec3 getOrthogonalVector(vec3 v) {\n // Return up-vector for only-z vector.\n // Return ax + by + cz = 0, a point that lies on the plane that has v as a normal and that isn't (0,0,0).\n // From the above if-statement we have ||a|| > 0 U ||b|| > 0.\n // Assign z = 0, x = -b, y = a:\n // a*-b + b*a + c*0 = -ba + ba + 0 = 0\n if (v.x*v.x > v.z*v.z || v.y*v.y > v.z*v.z) {\n return normalize(vec3(-v.y, v.x, 0.0));\n } else {\n return normalize(vec3(0.0, v.z, -v.y));\n }\n}\n\n// Calculate the cone vertex and normal at the given index.\n//\n// The returned vertex is for a cone with its top at origin and height of 1.0,\n// pointing in the direction of the vector attribute.\n//\n// Each cone is made up of a top vertex, a center base vertex and base perimeter vertices.\n// These vertices are used to make up the triangles of the cone by the following:\n// segment + 0 top vertex\n// segment + 1 perimeter vertex a+1\n// segment + 2 perimeter vertex a\n// segment + 3 center base vertex\n// segment + 4 perimeter vertex a\n// segment + 5 perimeter vertex a+1\n// Where segment is the number of the radial segment * 6 and a is the angle at that radial segment.\n// To go from index to segment, floor(index / 6)\n// To go from segment to angle, 2*pi * (segment/segmentCount)\n// To go from index to segment index, index - (segment*6)\n//\nvec3 getConePosition(vec3 d, float rawIndex, float coneOffset, out vec3 normal) {\n\n const float segmentCount = 8.0;\n\n float index = rawIndex - floor(rawIndex /\n (segmentCount * 6.0)) *\n (segmentCount * 6.0);\n\n float segment = floor(0.001 + index/6.0);\n float segmentIndex = index - (segment*6.0);\n\n normal = -normalize(d);\n\n if (segmentIndex > 2.99 && segmentIndex < 3.01) {\n return mix(vec3(0.0), -d, coneOffset);\n }\n\n float nextAngle = (\n (segmentIndex > 0.99 && segmentIndex < 1.01) ||\n (segmentIndex > 4.99 && segmentIndex < 5.01)\n ) ? 1.0 : 0.0;\n float angle = 2.0 * 3.14159 * ((segment + nextAngle) / segmentCount);\n\n vec3 v1 = mix(d, vec3(0.0), coneOffset);\n vec3 v2 = v1 - d;\n\n vec3 u = getOrthogonalVector(d);\n vec3 v = normalize(cross(u, d));\n\n vec3 x = u * cos(angle) * length(d)*0.25;\n vec3 y = v * sin(angle) * length(d)*0.25;\n vec3 v3 = v2 + x + y;\n if (segmentIndex < 3.0) {\n vec3 tx = u * sin(angle);\n vec3 ty = v * -cos(angle);\n vec3 tangent = tx + ty;\n normal = normalize(cross(v3 - v1, tangent));\n }\n\n if (segmentIndex == 0.0) {\n return mix(d, vec3(0.0), coneOffset);\n }\n return v3;\n}\n\nattribute vec4 vector;\nattribute vec4 position;\nattribute vec4 id;\n\nuniform mat4 model, view, projection;\nuniform float vectorScale, coneScale, coneOffset;\n\nvarying vec3 f_position;\nvarying vec4 f_id;\n\nvoid main() {\n vec3 normal;\n vec3 XYZ = getConePosition(mat3(model) * ((vectorScale * coneScale) * vector.xyz), position.w, coneOffset, normal);\n vec4 conePosition = model * vec4(position.xyz, 1.0) + vec4(XYZ, 0.0);\n gl_Position = projection * view * conePosition;\n f_id = id;\n f_position = position.xyz;\n}\n"]),s=n(["precision highp float;\n#define GLSLIFY 1\n\nbool outOfRange(float a, float b, float p) {\n return ((p > max(a, b)) || \n (p < min(a, b)));\n}\n\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\n return (outOfRange(a.x, b.x, p.x) ||\n outOfRange(a.y, b.y, p.y));\n}\n\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\n return (outOfRange(a.x, b.x, p.x) ||\n outOfRange(a.y, b.y, p.y) ||\n outOfRange(a.z, b.z, p.z));\n}\n\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\n return outOfRange(a.xyz, b.xyz, p.xyz);\n}\n\nuniform vec3 clipBounds[2];\nuniform float pickId;\n\nvarying vec3 f_position;\nvarying vec4 f_id;\n\nvoid main() {\n if (outOfRange(clipBounds[0], clipBounds[1], f_position)) discard;\n\n gl_FragColor = vec4(pickId, f_id.xyz);\n}"]);e.meshShader={vertex:i,fragment:a,attributes:[{name:"position",type:"vec4"},{name:"color",type:"vec4"},{name:"uv",type:"vec2"},{name:"vector",type:"vec3"}]},e.pickShader={vertex:o,fragment:s,attributes:[{name:"position",type:"vec4"},{name:"id",type:"vec4"},{name:"vector",type:"vec3"}]}},1950:function(t){t.exports={0:"NONE",1:"ONE",2:"LINE_LOOP",3:"LINE_STRIP",4:"TRIANGLES",5:"TRIANGLE_STRIP",6:"TRIANGLE_FAN",256:"DEPTH_BUFFER_BIT",512:"NEVER",513:"LESS",514:"EQUAL",515:"LEQUAL",516:"GREATER",517:"NOTEQUAL",518:"GEQUAL",519:"ALWAYS",768:"SRC_COLOR",769:"ONE_MINUS_SRC_COLOR",770:"SRC_ALPHA",771:"ONE_MINUS_SRC_ALPHA",772:"DST_ALPHA",773:"ONE_MINUS_DST_ALPHA",774:"DST_COLOR",775:"ONE_MINUS_DST_COLOR",776:"SRC_ALPHA_SATURATE",1024:"STENCIL_BUFFER_BIT",1028:"FRONT",1029:"BACK",1032:"FRONT_AND_BACK",1280:"INVALID_ENUM",1281:"INVALID_VALUE",1282:"INVALID_OPERATION",1285:"OUT_OF_MEMORY",1286:"INVALID_FRAMEBUFFER_OPERATION",2304:"CW",2305:"CCW",2849:"LINE_WIDTH",2884:"CULL_FACE",2885:"CULL_FACE_MODE",2886:"FRONT_FACE",2928:"DEPTH_RANGE",2929:"DEPTH_TEST",2930:"DEPTH_WRITEMASK",2931:"DEPTH_CLEAR_VALUE",2932:"DEPTH_FUNC",2960:"STENCIL_TEST",2961:"STENCIL_CLEAR_VALUE",2962:"STENCIL_FUNC",2963:"STENCIL_VALUE_MASK",2964:"STENCIL_FAIL",2965:"STENCIL_PASS_DEPTH_FAIL",2966:"STENCIL_PASS_DEPTH_PASS",2967:"STENCIL_REF",2968:"STENCIL_WRITEMASK",2978:"VIEWPORT",3024:"DITHER",3042:"BLEND",3088:"SCISSOR_BOX",3089:"SCISSOR_TEST",3106:"COLOR_CLEAR_VALUE",3107:"COLOR_WRITEMASK",3317:"UNPACK_ALIGNMENT",3333:"PACK_ALIGNMENT",3379:"MAX_TEXTURE_SIZE",3386:"MAX_VIEWPORT_DIMS",3408:"SUBPIXEL_BITS",3410:"RED_BITS",3411:"GREEN_BITS",3412:"BLUE_BITS",3413:"ALPHA_BITS",3414:"DEPTH_BITS",3415:"STENCIL_BITS",3553:"TEXTURE_2D",4352:"DONT_CARE",4353:"FASTEST",4354:"NICEST",5120:"BYTE",5121:"UNSIGNED_BYTE",5122:"SHORT",5123:"UNSIGNED_SHORT",5124:"INT",5125:"UNSIGNED_INT",5126:"FLOAT",5386:"INVERT",5890:"TEXTURE",6401:"STENCIL_INDEX",6402:"DEPTH_COMPONENT",6406:"ALPHA",6407:"RGB",6408:"RGBA",6409:"LUMINANCE",6410:"LUMINANCE_ALPHA",7680:"KEEP",7681:"REPLACE",7682:"INCR",7683:"DECR",7936:"VENDOR",7937:"RENDERER",7938:"VERSION",9728:"NEAREST",9729:"LINEAR",9984:"NEAREST_MIPMAP_NEAREST",9985:"LINEAR_MIPMAP_NEAREST",9986:"NEAREST_MIPMAP_LINEAR",9987:"LINEAR_MIPMAP_LINEAR",10240:"TEXTURE_MAG_FILTER",10241:"TEXTURE_MIN_FILTER",10242:"TEXTURE_WRAP_S",10243:"TEXTURE_WRAP_T",10497:"REPEAT",10752:"POLYGON_OFFSET_UNITS",16384:"COLOR_BUFFER_BIT",32769:"CONSTANT_COLOR",32770:"ONE_MINUS_CONSTANT_COLOR",32771:"CONSTANT_ALPHA",32772:"ONE_MINUS_CONSTANT_ALPHA",32773:"BLEND_COLOR",32774:"FUNC_ADD",32777:"BLEND_EQUATION_RGB",32778:"FUNC_SUBTRACT",32779:"FUNC_REVERSE_SUBTRACT",32819:"UNSIGNED_SHORT_4_4_4_4",32820:"UNSIGNED_SHORT_5_5_5_1",32823:"POLYGON_OFFSET_FILL",32824:"POLYGON_OFFSET_FACTOR",32854:"RGBA4",32855:"RGB5_A1",32873:"TEXTURE_BINDING_2D",32926:"SAMPLE_ALPHA_TO_COVERAGE",32928:"SAMPLE_COVERAGE",32936:"SAMPLE_BUFFERS",32937:"SAMPLES",32938:"SAMPLE_COVERAGE_VALUE",32939:"SAMPLE_COVERAGE_INVERT",32968:"BLEND_DST_RGB",32969:"BLEND_SRC_RGB",32970:"BLEND_DST_ALPHA",32971:"BLEND_SRC_ALPHA",33071:"CLAMP_TO_EDGE",33170:"GENERATE_MIPMAP_HINT",33189:"DEPTH_COMPONENT16",33306:"DEPTH_STENCIL_ATTACHMENT",33635:"UNSIGNED_SHORT_5_6_5",33648:"MIRRORED_REPEAT",33901:"ALIASED_POINT_SIZE_RANGE",33902:"ALIASED_LINE_WIDTH_RANGE",33984:"TEXTURE0",33985:"TEXTURE1",33986:"TEXTURE2",33987:"TEXTURE3",33988:"TEXTURE4",33989:"TEXTURE5",33990:"TEXTURE6",33991:"TEXTURE7",33992:"TEXTURE8",33993:"TEXTURE9",33994:"TEXTURE10",33995:"TEXTURE11",33996:"TEXTURE12",33997:"TEXTURE13",33998:"TEXTURE14",33999:"TEXTURE15",34e3:"TEXTURE16",34001:"TEXTURE17",34002:"TEXTURE18",34003:"TEXTURE19",34004:"TEXTURE20",34005:"TEXTURE21",34006:"TEXTURE22",34007:"TEXTURE23",34008:"TEXTURE24",34009:"TEXTURE25",34010:"TEXTURE26",34011:"TEXTURE27",34012:"TEXTURE28",34013:"TEXTURE29",34014:"TEXTURE30",34015:"TEXTURE31",34016:"ACTIVE_TEXTURE",34024:"MAX_RENDERBUFFER_SIZE",34041:"DEPTH_STENCIL",34055:"INCR_WRAP",34056:"DECR_WRAP",34067:"TEXTURE_CUBE_MAP",34068:"TEXTURE_BINDING_CUBE_MAP",34069:"TEXTURE_CUBE_MAP_POSITIVE_X",34070:"TEXTURE_CUBE_MAP_NEGATIVE_X",34071:"TEXTURE_CUBE_MAP_POSITIVE_Y",34072:"TEXTURE_CUBE_MAP_NEGATIVE_Y",34073:"TEXTURE_CUBE_MAP_POSITIVE_Z",34074:"TEXTURE_CUBE_MAP_NEGATIVE_Z",34076:"MAX_CUBE_MAP_TEXTURE_SIZE",34338:"VERTEX_ATTRIB_ARRAY_ENABLED",34339:"VERTEX_ATTRIB_ARRAY_SIZE",34340:"VERTEX_ATTRIB_ARRAY_STRIDE",34341:"VERTEX_ATTRIB_ARRAY_TYPE",34342:"CURRENT_VERTEX_ATTRIB",34373:"VERTEX_ATTRIB_ARRAY_POINTER",34466:"NUM_COMPRESSED_TEXTURE_FORMATS",34467:"COMPRESSED_TEXTURE_FORMATS",34660:"BUFFER_SIZE",34661:"BUFFER_USAGE",34816:"STENCIL_BACK_FUNC",34817:"STENCIL_BACK_FAIL",34818:"STENCIL_BACK_PASS_DEPTH_FAIL",34819:"STENCIL_BACK_PASS_DEPTH_PASS",34877:"BLEND_EQUATION_ALPHA",34921:"MAX_VERTEX_ATTRIBS",34922:"VERTEX_ATTRIB_ARRAY_NORMALIZED",34930:"MAX_TEXTURE_IMAGE_UNITS",34962:"ARRAY_BUFFER",34963:"ELEMENT_ARRAY_BUFFER",34964:"ARRAY_BUFFER_BINDING",34965:"ELEMENT_ARRAY_BUFFER_BINDING",34975:"VERTEX_ATTRIB_ARRAY_BUFFER_BINDING",35040:"STREAM_DRAW",35044:"STATIC_DRAW",35048:"DYNAMIC_DRAW",35632:"FRAGMENT_SHADER",35633:"VERTEX_SHADER",35660:"MAX_VERTEX_TEXTURE_IMAGE_UNITS",35661:"MAX_COMBINED_TEXTURE_IMAGE_UNITS",35663:"SHADER_TYPE",35664:"FLOAT_VEC2",35665:"FLOAT_VEC3",35666:"FLOAT_VEC4",35667:"INT_VEC2",35668:"INT_VEC3",35669:"INT_VEC4",35670:"BOOL",35671:"BOOL_VEC2",35672:"BOOL_VEC3",35673:"BOOL_VEC4",35674:"FLOAT_MAT2",35675:"FLOAT_MAT3",35676:"FLOAT_MAT4",35678:"SAMPLER_2D",35680:"SAMPLER_CUBE",35712:"DELETE_STATUS",35713:"COMPILE_STATUS",35714:"LINK_STATUS",35715:"VALIDATE_STATUS",35716:"INFO_LOG_LENGTH",35717:"ATTACHED_SHADERS",35718:"ACTIVE_UNIFORMS",35719:"ACTIVE_UNIFORM_MAX_LENGTH",35720:"SHADER_SOURCE_LENGTH",35721:"ACTIVE_ATTRIBUTES",35722:"ACTIVE_ATTRIBUTE_MAX_LENGTH",35724:"SHADING_LANGUAGE_VERSION",35725:"CURRENT_PROGRAM",36003:"STENCIL_BACK_REF",36004:"STENCIL_BACK_VALUE_MASK",36005:"STENCIL_BACK_WRITEMASK",36006:"FRAMEBUFFER_BINDING",36007:"RENDERBUFFER_BINDING",36048:"FRAMEBUFFER_ATTACHMENT_OBJECT_TYPE",36049:"FRAMEBUFFER_ATTACHMENT_OBJECT_NAME",36050:"FRAMEBUFFER_ATTACHMENT_TEXTURE_LEVEL",36051:"FRAMEBUFFER_ATTACHMENT_TEXTURE_CUBE_MAP_FACE",36053:"FRAMEBUFFER_COMPLETE",36054:"FRAMEBUFFER_INCOMPLETE_ATTACHMENT",36055:"FRAMEBUFFER_INCOMPLETE_MISSING_ATTACHMENT",36057:"FRAMEBUFFER_INCOMPLETE_DIMENSIONS",36061:"FRAMEBUFFER_UNSUPPORTED",36064:"COLOR_ATTACHMENT0",36096:"DEPTH_ATTACHMENT",36128:"STENCIL_ATTACHMENT",36160:"FRAMEBUFFER",36161:"RENDERBUFFER",36162:"RENDERBUFFER_WIDTH",36163:"RENDERBUFFER_HEIGHT",36164:"RENDERBUFFER_INTERNAL_FORMAT",36168:"STENCIL_INDEX8",36176:"RENDERBUFFER_RED_SIZE",36177:"RENDERBUFFER_GREEN_SIZE",36178:"RENDERBUFFER_BLUE_SIZE",36179:"RENDERBUFFER_ALPHA_SIZE",36180:"RENDERBUFFER_DEPTH_SIZE",36181:"RENDERBUFFER_STENCIL_SIZE",36194:"RGB565",36336:"LOW_FLOAT",36337:"MEDIUM_FLOAT",36338:"HIGH_FLOAT",36339:"LOW_INT",36340:"MEDIUM_INT",36341:"HIGH_INT",36346:"SHADER_COMPILER",36347:"MAX_VERTEX_UNIFORM_VECTORS",36348:"MAX_VARYING_VECTORS",36349:"MAX_FRAGMENT_UNIFORM_VECTORS",37440:"UNPACK_FLIP_Y_WEBGL",37441:"UNPACK_PREMULTIPLY_ALPHA_WEBGL",37442:"CONTEXT_LOST_WEBGL",37443:"UNPACK_COLORSPACE_CONVERSION_WEBGL",37444:"BROWSER_DEFAULT_WEBGL"}},6603:function(t,e,r){var n=r(1950);t.exports=function(t){return n[t]}},3110:function(t,e,r){"use strict";t.exports=function(t){var e=t.gl,r=n(e),o=i(e,[{buffer:r,type:e.FLOAT,size:3,offset:0,stride:40},{buffer:r,type:e.FLOAT,size:4,offset:12,stride:40},{buffer:r,type:e.FLOAT,size:3,offset:28,stride:40}]),l=a(e);l.attributes.position.location=0,l.attributes.color.location=1,l.attributes.offset.location=2;var u=new s(e,r,o,l);return u.update(t),u};var n=r(5827),i=r(2944),a=r(7667),o=[1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1];function s(t,e,r,n){this.gl=t,this.shader=n,this.buffer=e,this.vao=r,this.pixelRatio=1,this.bounds=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]],this.clipBounds=[[-1/0,-1/0,-1/0],[1/0,1/0,1/0]],this.lineWidth=[1,1,1],this.capSize=[10,10,10],this.lineCount=[0,0,0],this.lineOffset=[0,0,0],this.opacity=1,this.hasAlpha=!1}var l=s.prototype;function u(t,e){for(var r=0;r<3;++r)t[0][r]=Math.min(t[0][r],e[r]),t[1][r]=Math.max(t[1][r],e[r])}l.isOpaque=function(){return!this.hasAlpha},l.isTransparent=function(){return this.hasAlpha},l.drawTransparent=l.draw=function(t){var e=this.gl,r=this.shader.uniforms;this.shader.bind();var n=r.view=t.view||o,i=r.projection=t.projection||o;r.model=t.model||o,r.clipBounds=this.clipBounds,r.opacity=this.opacity;var a=n[12],s=n[13],l=n[14],u=n[15],c=(t._ortho?2:1)*this.pixelRatio*(i[3]*a+i[7]*s+i[11]*l+i[15]*u)/e.drawingBufferHeight;this.vao.bind();for(var f=0;f<3;++f)e.lineWidth(this.lineWidth[f]*this.pixelRatio),r.capSize=this.capSize[f]*c,this.lineCount[f]&&e.drawArrays(e.LINES,this.lineOffset[f],this.lineCount[f]);this.vao.unbind()};var c=function(){for(var t=new Array(3),e=0;e<3;++e){for(var r=[],n=1;n<=2;++n)for(var i=-1;i<=1;i+=2){var a=[0,0,0];a[(n+e)%3]=i,r.push(a)}t[e]=r}return t}();function f(t,e,r,n){for(var i=c[n],a=0;a0&&((p=c.slice())[s]+=d[1][s],i.push(c[0],c[1],c[2],v[0],v[1],v[2],v[3],0,0,0,p[0],p[1],p[2],v[0],v[1],v[2],v[3],0,0,0),u(this.bounds,p),o+=2+f(i,p,v,s)))}this.lineCount[s]=o-this.lineOffset[s]}this.buffer.update(i)}},l.dispose=function(){this.shader.dispose(),this.buffer.dispose(),this.vao.dispose()}},7667:function(t,e,r){"use strict";var n=r(6832),i=r(5158),a=n(["precision highp float;\n#define GLSLIFY 1\n\nattribute vec3 position, offset;\nattribute vec4 color;\nuniform mat4 model, view, projection;\nuniform float capSize;\nvarying vec4 fragColor;\nvarying vec3 fragPosition;\n\nvoid main() {\n vec4 worldPosition = model * vec4(position, 1.0);\n worldPosition = (worldPosition / worldPosition.w) + vec4(capSize * offset, 0.0);\n gl_Position = projection * view * worldPosition;\n fragColor = color;\n fragPosition = position;\n}"]),o=n(["precision highp float;\n#define GLSLIFY 1\n\nbool outOfRange(float a, float b, float p) {\n return ((p > max(a, b)) || \n (p < min(a, b)));\n}\n\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\n return (outOfRange(a.x, b.x, p.x) ||\n outOfRange(a.y, b.y, p.y));\n}\n\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\n return (outOfRange(a.x, b.x, p.x) ||\n outOfRange(a.y, b.y, p.y) ||\n outOfRange(a.z, b.z, p.z));\n}\n\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\n return outOfRange(a.xyz, b.xyz, p.xyz);\n}\n\nuniform vec3 clipBounds[2];\nuniform float opacity;\nvarying vec3 fragPosition;\nvarying vec4 fragColor;\n\nvoid main() {\n if (\n outOfRange(clipBounds[0], clipBounds[1], fragPosition) ||\n fragColor.a * opacity == 0.\n ) discard;\n\n gl_FragColor = opacity * fragColor;\n}"]);t.exports=function(t){return i(t,a,o,null,[{name:"position",type:"vec3"},{name:"color",type:"vec4"},{name:"offset",type:"vec3"}])}},4234:function(t,e,r){"use strict";var n=r(8931);t.exports=function(t,e,r,n){i||(i=t.FRAMEBUFFER_UNSUPPORTED,a=t.FRAMEBUFFER_INCOMPLETE_ATTACHMENT,o=t.FRAMEBUFFER_INCOMPLETE_DIMENSIONS,s=t.FRAMEBUFFER_INCOMPLETE_MISSING_ATTACHMENT);var u=t.getExtension("WEBGL_draw_buffers");if(!l&&u&&function(t,e){var r=t.getParameter(e.MAX_COLOR_ATTACHMENTS_WEBGL);l=new Array(r+1);for(var n=0;n<=r;++n){for(var i=new Array(r),a=0;ac||r<0||r>c)throw new Error("gl-fbo: Parameters are too large for FBO");var f=1;if("color"in(n=n||{})){if((f=Math.max(0|n.color,0))<0)throw new Error("gl-fbo: Must specify a nonnegative number of colors");if(f>1){if(!u)throw new Error("gl-fbo: Multiple draw buffer extension not supported");if(f>t.getParameter(u.MAX_COLOR_ATTACHMENTS_WEBGL))throw new Error("gl-fbo: Context does not support "+f+" draw buffers")}}var h=t.UNSIGNED_BYTE,p=t.getExtension("OES_texture_float");if(n.float&&f>0){if(!p)throw new Error("gl-fbo: Context does not support floating point textures");h=t.FLOAT}else n.preferFloat&&f>0&&p&&(h=t.FLOAT);var v=!0;"depth"in n&&(v=!!n.depth);var g=!1;return"stencil"in n&&(g=!!n.stencil),new d(t,e,r,h,f,v,g,u)};var i,a,o,s,l=null;function u(t){return[t.getParameter(t.FRAMEBUFFER_BINDING),t.getParameter(t.RENDERBUFFER_BINDING),t.getParameter(t.TEXTURE_BINDING_2D)]}function c(t,e){t.bindFramebuffer(t.FRAMEBUFFER,e[0]),t.bindRenderbuffer(t.RENDERBUFFER,e[1]),t.bindTexture(t.TEXTURE_2D,e[2])}function f(t){switch(t){case i:throw new Error("gl-fbo: Framebuffer unsupported");case a:throw new Error("gl-fbo: Framebuffer incomplete attachment");case o:throw new Error("gl-fbo: Framebuffer incomplete dimensions");case s:throw new Error("gl-fbo: Framebuffer incomplete missing attachment");default:throw new Error("gl-fbo: Framebuffer failed for unspecified reason")}}function h(t,e,r,i,a,o){if(!i)return null;var s=n(t,e,r,a,i);return 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x=r.checkFramebufferStatus(r.FRAMEBUFFER);if(x!==r.FRAMEBUFFER_COMPLETE){for(t._destroyed=!0,r.bindFramebuffer(r.FRAMEBUFFER,null),r.deleteFramebuffer(t.handle),t.handle=null,t.depth&&(t.depth.dispose(),t.depth=null),t._depth_rb&&(r.deleteRenderbuffer(t._depth_rb),t._depth_rb=null),y=0;yi||r<0||r>i)throw new Error("gl-fbo: Can't resize FBO, invalid dimensions");t._shape[0]=e,t._shape[1]=r;for(var a=u(n),o=0;o>8*p&255;this.pickOffset=r,i.bind();var d=i.uniforms;d.viewTransform=t,d.pickOffset=e,d.shape=this.shape;var v=i.attributes;return this.positionBuffer.bind(),v.position.pointer(),this.weightBuffer.bind(),v.weight.pointer(s.UNSIGNED_BYTE,!1),this.idBuffer.bind(),v.pickId.pointer(s.UNSIGNED_BYTE,!1),s.drawArrays(s.TRIANGLES,0,o),r+this.shape[0]*this.shape[1]}}}(),f.pick=function(t,e,r){var n=this.pickOffset,i=this.shape[0]*this.shape[1];if(r=n+i)return null;var a=r-n,o=this.xData,s=this.yData;return{object:this,pointId:a,dataCoord:[o[a%this.shape[0]],s[a/this.shape[0]|0]]}},f.update=function(t){var e=(t=t||{}).shape||[0,0],r=t.x||i(e[0]),o=t.y||i(e[1]),s=t.z||new Float32Array(e[0]*e[1]),l=!1!==t.zsmooth;this.xData=r,this.yData=o;var u,c,f,p,d=t.colorLevels||[0],v=t.colorValues||[0,0,0,1],g=d.length,y=this.bounds;l?(u=y[0]=r[0],c=y[1]=o[0],f=y[2]=r[r.length-1],p=y[3]=o[o.length-1]):(u=y[0]=r[0]+(r[1]-r[0])/2,c=y[1]=o[0]+(o[1]-o[0])/2,f=y[2]=r[r.length-1]+(r[r.length-1]-r[r.length-2])/2,p=y[3]=o[o.length-1]+(o[o.length-1]-o[o.length-2])/2);var m=1/(f-u),x=1/(p-c),b=e[0],_=e[1];this.shape=[b,_];var w=(l?(b-1)*(_-1):b*_)*(h.length>>>1);this.numVertices=w;for(var T=a.mallocUint8(4*w),k=a.mallocFloat32(2*w),A=a.mallocUint8(2*w),M=a.mallocUint32(w),S=0,E=l?b-1:b,L=l?_-1:_,C=0;C max(a, b)) || \n (p < min(a, b)));\n}\n\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\n return (outOfRange(a.x, b.x, p.x) ||\n outOfRange(a.y, b.y, p.y));\n}\n\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\n return (outOfRange(a.x, b.x, p.x) ||\n outOfRange(a.y, b.y, p.y) ||\n outOfRange(a.z, b.z, p.z));\n}\n\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\n return outOfRange(a.xyz, b.xyz, p.xyz);\n}\n\nuniform vec3 clipBounds[2];\nuniform sampler2D dashTexture;\nuniform float dashScale;\nuniform float opacity;\n\nvarying vec3 worldPosition;\nvarying float pixelArcLength;\nvarying vec4 fragColor;\n\nvoid main() {\n if (\n outOfRange(clipBounds[0], clipBounds[1], worldPosition) ||\n fragColor.a * opacity == 0.\n ) discard;\n\n float dashWeight = texture2D(dashTexture, vec2(dashScale * pixelArcLength, 0)).r;\n if(dashWeight < 0.5) {\n discard;\n }\n gl_FragColor = fragColor * opacity;\n}\n"]),s=n(["precision highp float;\n#define GLSLIFY 1\n\n#define FLOAT_MAX 1.70141184e38\n#define FLOAT_MIN 1.17549435e-38\n\n// https://github.com/mikolalysenko/glsl-read-float/blob/master/index.glsl\nvec4 packFloat(float v) {\n float av = abs(v);\n\n //Handle special cases\n if(av < FLOAT_MIN) {\n return vec4(0.0, 0.0, 0.0, 0.0);\n } else if(v > FLOAT_MAX) {\n return vec4(127.0, 128.0, 0.0, 0.0) / 255.0;\n } else if(v < -FLOAT_MAX) {\n return vec4(255.0, 128.0, 0.0, 0.0) / 255.0;\n }\n\n vec4 c = vec4(0,0,0,0);\n\n //Compute exponent and mantissa\n float e = floor(log2(av));\n float m = av * pow(2.0, -e) - 1.0;\n\n //Unpack mantissa\n c[1] = floor(128.0 * m);\n m -= c[1] / 128.0;\n c[2] = floor(32768.0 * m);\n m -= c[2] / 32768.0;\n c[3] = floor(8388608.0 * m);\n\n //Unpack exponent\n float ebias = e + 127.0;\n c[0] = floor(ebias / 2.0);\n ebias -= c[0] * 2.0;\n c[1] += floor(ebias) * 128.0;\n\n //Unpack sign bit\n c[0] += 128.0 * step(0.0, -v);\n\n //Scale back to range\n return c / 255.0;\n}\n\nbool outOfRange(float a, float b, float p) {\n return ((p > max(a, b)) || \n (p < min(a, b)));\n}\n\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\n return (outOfRange(a.x, b.x, p.x) ||\n outOfRange(a.y, b.y, p.y));\n}\n\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\n return (outOfRange(a.x, b.x, p.x) ||\n outOfRange(a.y, b.y, p.y) ||\n outOfRange(a.z, b.z, p.z));\n}\n\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\n return outOfRange(a.xyz, b.xyz, p.xyz);\n}\n\nuniform float pickId;\nuniform vec3 clipBounds[2];\n\nvarying vec3 worldPosition;\nvarying float pixelArcLength;\nvarying vec4 fragColor;\n\nvoid main() {\n if (outOfRange(clipBounds[0], clipBounds[1], worldPosition)) discard;\n\n gl_FragColor = vec4(pickId/255.0, packFloat(pixelArcLength).xyz);\n}"]),l=[{name:"position",type:"vec3"},{name:"nextPosition",type:"vec3"},{name:"arcLength",type:"float"},{name:"lineWidth",type:"float"},{name:"color",type:"vec4"}];e.createShader=function(t){return i(t,a,o,null,l)},e.createPickShader=function(t){return i(t,a,s,null,l)}},6086:function(t,e,r){"use strict";t.exports=function(t){var e=t.gl||t.scene&&t.scene.gl,r=f(e);r.attributes.position.location=0,r.attributes.nextPosition.location=1,r.attributes.arcLength.location=2,r.attributes.lineWidth.location=3,r.attributes.color.location=4;var o=h(e);o.attributes.position.location=0,o.attributes.nextPosition.location=1,o.attributes.arcLength.location=2,o.attributes.lineWidth.location=3,o.attributes.color.location=4;for(var s=n(e),l=i(e,[{buffer:s,size:3,offset:0,stride:48},{buffer:s,size:3,offset:12,stride:48},{buffer:s,size:1,offset:24,stride:48},{buffer:s,size:1,offset:28,stride:48},{buffer:s,size:4,offset:32,stride:48}]),c=u(new Array(1024),[256,1,4]),p=0;p<1024;++p)c.data[p]=255;var d=a(e,c);d.wrap=e.REPEAT;var v=new y(e,r,o,s,l,d);return v.update(t),v};var n=r(5827),i=r(2944),a=r(8931),o=new Uint8Array(4),s=new Float32Array(o.buffer),l=r(5070),u=r(5050),c=r(248),f=c.createShader,h=c.createPickShader,p=[1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1];function d(t,e){for(var r=0,n=0;n<3;++n){var i=t[n]-e[n];r+=i*i}return Math.sqrt(r)}function v(t){for(var e=[[-1e6,-1e6,-1e6],[1e6,1e6,1e6]],r=0;r<3;++r)e[0][r]=Math.max(t[0][r],e[0][r]),e[1][r]=Math.min(t[1][r],e[1][r]);return e}function g(t,e,r,n){this.arcLength=t,this.position=e,this.index=r,this.dataCoordinate=n}function y(t,e,r,n,i,a){this.gl=t,this.shader=e,this.pickShader=r,this.buffer=n,this.vao=i,this.clipBounds=[[-1/0,-1/0,-1/0],[1/0,1/0,1/0]],this.points=[],this.arcLength=[],this.vertexCount=0,this.bounds=[[0,0,0],[0,0,0]],this.pickId=0,this.lineWidth=1,this.texture=a,this.dashScale=1,this.opacity=1,this.hasAlpha=!1,this.dirty=!0,this.pixelRatio=1}var m=y.prototype;m.isTransparent=function(){return this.hasAlpha},m.isOpaque=function(){return!this.hasAlpha},m.pickSlots=1,m.setPickBase=function(t){this.pickId=t},m.drawTransparent=m.draw=function(t){if(this.vertexCount){var e=this.gl,r=this.shader,n=this.vao;r.bind(),r.uniforms={model:t.model||p,view:t.view||p,projection:t.projection||p,clipBounds:v(this.clipBounds),dashTexture:this.texture.bind(),dashScale:this.dashScale/this.arcLength[this.arcLength.length-1],opacity:this.opacity,screenShape:[e.drawingBufferWidth,e.drawingBufferHeight],pixelRatio:this.pixelRatio},n.bind(),n.draw(e.TRIANGLE_STRIP,this.vertexCount),n.unbind()}},m.drawPick=function(t){if(this.vertexCount){var e=this.gl,r=this.pickShader,n=this.vao;r.bind(),r.uniforms={model:t.model||p,view:t.view||p,projection:t.projection||p,pickId:this.pickId,clipBounds:v(this.clipBounds),screenShape:[e.drawingBufferWidth,e.drawingBufferHeight],pixelRatio:this.pixelRatio},n.bind(),n.draw(e.TRIANGLE_STRIP,this.vertexCount),n.unbind()}},m.update=function(t){var e,r;this.dirty=!0;var n=!!t.connectGaps;"dashScale"in t&&(this.dashScale=t.dashScale),this.hasAlpha=!1,"opacity"in t&&(this.opacity=+t.opacity,this.opacity<1&&(this.hasAlpha=!0));var i=[],a=[],o=[],s=0,c=0,f=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]],h=t.position||t.positions;if(h){var p=t.color||t.colors||[0,0,0,1],v=t.lineWidth||1,g=!1;t:for(e=1;e0){for(var w=0;w<24;++w)i.push(i[i.length-12]);c+=2,g=!0}continue t}f[0][r]=Math.min(f[0][r],b[r],_[r]),f[1][r]=Math.max(f[1][r],b[r],_[r])}Array.isArray(p[0])?(y=p.length>e-1?p[e-1]:p.length>0?p[p.length-1]:[0,0,0,1],m=p.length>e?p[e]:p.length>0?p[p.length-1]:[0,0,0,1]):y=m=p,3===y.length&&(y=[y[0],y[1],y[2],1]),3===m.length&&(m=[m[0],m[1],m[2],1]),!this.hasAlpha&&y[3]<1&&(this.hasAlpha=!0),x=Array.isArray(v)?v.length>e-1?v[e-1]:v.length>0?v[v.length-1]:[0,0,0,1]:v;var T=s;if(s+=d(b,_),g){for(r=0;r<2;++r)i.push(b[0],b[1],b[2],_[0],_[1],_[2],T,x,y[0],y[1],y[2],y[3]);c+=2,g=!1}i.push(b[0],b[1],b[2],_[0],_[1],_[2],T,x,y[0],y[1],y[2],y[3],b[0],b[1],b[2],_[0],_[1],_[2],T,-x,y[0],y[1],y[2],y[3],_[0],_[1],_[2],b[0],b[1],b[2],s,-x,m[0],m[1],m[2],m[3],_[0],_[1],_[2],b[0],b[1],b[2],s,x,m[0],m[1],m[2],m[3]),c+=4}}if(this.buffer.update(i),a.push(s),o.push(h[h.length-1].slice()),this.bounds=f,this.vertexCount=c,this.points=o,this.arcLength=a,"dashes"in t){var k=t.dashes.slice();for(k.unshift(0),e=1;e1.0001)return null;y+=g[f]}return Math.abs(y-1)>.001?null:[h,s(t,g),g]}},2056:function(t,e,r){var n=r(6832),i=n(["precision highp float;\n#define GLSLIFY 1\n\nattribute vec3 position, normal;\nattribute vec4 color;\nattribute vec2 uv;\n\nuniform mat4 model\n , view\n , projection\n , inverseModel;\nuniform vec3 eyePosition\n , lightPosition;\n\nvarying vec3 f_normal\n , f_lightDirection\n , f_eyeDirection\n , f_data;\nvarying vec4 f_color;\nvarying vec2 f_uv;\n\nvec4 project(vec3 p) {\n return projection * view * model * vec4(p, 1.0);\n}\n\nvoid main() {\n gl_Position = project(position);\n\n //Lighting geometry parameters\n vec4 cameraCoordinate = view * vec4(position , 1.0);\n cameraCoordinate.xyz /= cameraCoordinate.w;\n f_lightDirection = lightPosition - cameraCoordinate.xyz;\n f_eyeDirection = eyePosition - cameraCoordinate.xyz;\n f_normal = normalize((vec4(normal, 0.0) * inverseModel).xyz);\n\n f_color = color;\n f_data = position;\n f_uv = uv;\n}\n"]),a=n(["#extension GL_OES_standard_derivatives : enable\n\nprecision highp float;\n#define GLSLIFY 1\n\nfloat beckmannDistribution(float x, float roughness) {\n float NdotH = max(x, 0.0001);\n float cos2Alpha = NdotH * NdotH;\n float tan2Alpha = (cos2Alpha - 1.0) / cos2Alpha;\n float roughness2 = roughness * roughness;\n float denom = 3.141592653589793 * roughness2 * cos2Alpha * cos2Alpha;\n return exp(tan2Alpha / roughness2) / denom;\n}\n\nfloat cookTorranceSpecular(\n vec3 lightDirection,\n vec3 viewDirection,\n vec3 surfaceNormal,\n float roughness,\n float fresnel) {\n\n float VdotN = max(dot(viewDirection, surfaceNormal), 0.0);\n float LdotN = max(dot(lightDirection, surfaceNormal), 0.0);\n\n //Half angle vector\n vec3 H = normalize(lightDirection + viewDirection);\n\n //Geometric term\n float NdotH = max(dot(surfaceNormal, H), 0.0);\n float VdotH = max(dot(viewDirection, H), 0.000001);\n float LdotH = max(dot(lightDirection, H), 0.000001);\n float G1 = (2.0 * NdotH * VdotN) / VdotH;\n float G2 = (2.0 * NdotH * LdotN) / LdotH;\n float G = min(1.0, min(G1, G2));\n \n //Distribution term\n float D = beckmannDistribution(NdotH, roughness);\n\n //Fresnel term\n float F = pow(1.0 - VdotN, fresnel);\n\n //Multiply terms and done\n return G * F * D / max(3.14159265 * VdotN, 0.000001);\n}\n\n//#pragma glslify: beckmann = require(glsl-specular-beckmann) // used in gl-surface3d\n\nbool outOfRange(float a, float b, float p) {\n return ((p > max(a, b)) || \n (p < min(a, b)));\n}\n\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\n return (outOfRange(a.x, b.x, p.x) ||\n outOfRange(a.y, b.y, p.y));\n}\n\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\n return (outOfRange(a.x, b.x, p.x) ||\n outOfRange(a.y, b.y, p.y) ||\n outOfRange(a.z, b.z, p.z));\n}\n\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\n return outOfRange(a.xyz, b.xyz, p.xyz);\n}\n\nuniform vec3 clipBounds[2];\nuniform float roughness\n , fresnel\n , kambient\n , kdiffuse\n , kspecular;\nuniform sampler2D texture;\n\nvarying vec3 f_normal\n , f_lightDirection\n , f_eyeDirection\n , f_data;\nvarying vec4 f_color;\nvarying vec2 f_uv;\n\nvoid main() {\n if (f_color.a == 0.0 ||\n outOfRange(clipBounds[0], clipBounds[1], f_data)\n ) discard;\n\n vec3 N = normalize(f_normal);\n vec3 L = normalize(f_lightDirection);\n vec3 V = normalize(f_eyeDirection);\n\n if(gl_FrontFacing) {\n N = -N;\n }\n\n float specular = min(1.0, max(0.0, cookTorranceSpecular(L, V, N, roughness, fresnel)));\n //float specular = max(0.0, beckmann(L, V, N, roughness)); // used in gl-surface3d\n\n float diffuse = min(kambient + kdiffuse * max(dot(N, L), 0.0), 1.0);\n\n vec4 surfaceColor = vec4(f_color.rgb, 1.0) * texture2D(texture, f_uv);\n vec4 litColor = surfaceColor.a * vec4(diffuse * surfaceColor.rgb + kspecular * vec3(1,1,1) * specular, 1.0);\n\n gl_FragColor = litColor * f_color.a;\n}\n"]),o=n(["precision highp float;\n#define GLSLIFY 1\n\nattribute vec3 position;\nattribute vec4 color;\nattribute vec2 uv;\n\nuniform mat4 model, view, projection;\n\nvarying vec4 f_color;\nvarying vec3 f_data;\nvarying vec2 f_uv;\n\nvoid main() {\n gl_Position = projection * view * model * vec4(position, 1.0);\n f_color = color;\n f_data = position;\n f_uv = uv;\n}"]),s=n(["precision highp float;\n#define GLSLIFY 1\n\nbool outOfRange(float a, float b, float p) {\n return ((p > max(a, b)) || \n (p < min(a, b)));\n}\n\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\n return (outOfRange(a.x, b.x, p.x) ||\n outOfRange(a.y, b.y, p.y));\n}\n\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\n return (outOfRange(a.x, b.x, p.x) ||\n outOfRange(a.y, b.y, p.y) ||\n outOfRange(a.z, b.z, p.z));\n}\n\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\n return outOfRange(a.xyz, b.xyz, p.xyz);\n}\n\nuniform vec3 clipBounds[2];\nuniform sampler2D texture;\nuniform float opacity;\n\nvarying vec4 f_color;\nvarying vec3 f_data;\nvarying vec2 f_uv;\n\nvoid main() {\n if (outOfRange(clipBounds[0], clipBounds[1], f_data)) discard;\n\n gl_FragColor = f_color * texture2D(texture, f_uv) * opacity;\n}"]),l=n(["precision highp float;\n#define GLSLIFY 1\n\nbool outOfRange(float a, float b, float p) {\n return ((p > max(a, b)) || \n (p < min(a, b)));\n}\n\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\n return (outOfRange(a.x, b.x, p.x) ||\n outOfRange(a.y, b.y, p.y));\n}\n\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\n return (outOfRange(a.x, b.x, p.x) ||\n outOfRange(a.y, b.y, p.y) ||\n outOfRange(a.z, b.z, p.z));\n}\n\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\n return outOfRange(a.xyz, b.xyz, p.xyz);\n}\n\nattribute vec3 position;\nattribute vec4 color;\nattribute vec2 uv;\nattribute float pointSize;\n\nuniform mat4 model, view, projection;\nuniform vec3 clipBounds[2];\n\nvarying vec4 f_color;\nvarying vec2 f_uv;\n\nvoid main() {\n if (outOfRange(clipBounds[0], clipBounds[1], position)) {\n\n gl_Position = vec4(0.0, 0.0 ,0.0 ,0.0);\n } else {\n gl_Position = projection * view * model * vec4(position, 1.0);\n }\n gl_PointSize = pointSize;\n f_color = color;\n f_uv = uv;\n}"]),u=n(["precision highp float;\n#define GLSLIFY 1\n\nuniform sampler2D texture;\nuniform float opacity;\n\nvarying vec4 f_color;\nvarying vec2 f_uv;\n\nvoid main() {\n vec2 pointR = gl_PointCoord.xy - vec2(0.5, 0.5);\n if(dot(pointR, pointR) > 0.25) {\n discard;\n }\n gl_FragColor = f_color * texture2D(texture, f_uv) * opacity;\n}"]),c=n(["precision highp float;\n#define GLSLIFY 1\n\nattribute vec3 position;\nattribute vec4 id;\n\nuniform mat4 model, view, projection;\n\nvarying vec3 f_position;\nvarying vec4 f_id;\n\nvoid main() {\n gl_Position = projection * view * model * vec4(position, 1.0);\n f_id = id;\n f_position = position;\n}"]),f=n(["precision highp float;\n#define GLSLIFY 1\n\nbool outOfRange(float a, float b, float p) {\n return ((p > max(a, b)) || \n (p < min(a, b)));\n}\n\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\n return (outOfRange(a.x, b.x, p.x) ||\n outOfRange(a.y, b.y, p.y));\n}\n\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\n return (outOfRange(a.x, b.x, p.x) ||\n outOfRange(a.y, b.y, p.y) ||\n outOfRange(a.z, b.z, p.z));\n}\n\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\n return outOfRange(a.xyz, b.xyz, p.xyz);\n}\n\nuniform vec3 clipBounds[2];\nuniform float pickId;\n\nvarying vec3 f_position;\nvarying vec4 f_id;\n\nvoid main() {\n if (outOfRange(clipBounds[0], clipBounds[1], f_position)) discard;\n\n gl_FragColor = vec4(pickId, f_id.xyz);\n}"]),h=n(["precision highp float;\n#define GLSLIFY 1\n\nbool outOfRange(float a, float b, float p) {\n return ((p > max(a, b)) || \n (p < min(a, b)));\n}\n\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\n return (outOfRange(a.x, b.x, p.x) ||\n outOfRange(a.y, b.y, p.y));\n}\n\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\n return (outOfRange(a.x, b.x, p.x) ||\n outOfRange(a.y, b.y, p.y) ||\n outOfRange(a.z, b.z, p.z));\n}\n\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\n return outOfRange(a.xyz, b.xyz, p.xyz);\n}\n\nattribute vec3 position;\nattribute float pointSize;\nattribute vec4 id;\n\nuniform mat4 model, view, projection;\nuniform vec3 clipBounds[2];\n\nvarying vec3 f_position;\nvarying vec4 f_id;\n\nvoid main() {\n if (outOfRange(clipBounds[0], clipBounds[1], position)) {\n\n gl_Position = vec4(0.0, 0.0, 0.0, 0.0);\n } else {\n gl_Position = projection * view * model * vec4(position, 1.0);\n gl_PointSize = pointSize;\n }\n f_id = id;\n f_position = position;\n}"]),p=n(["precision highp float;\n#define GLSLIFY 1\n\nattribute vec3 position;\n\nuniform mat4 model, view, projection;\n\nvoid main() {\n gl_Position = projection * view * model * vec4(position, 1.0);\n}"]),d=n(["precision highp float;\n#define GLSLIFY 1\n\nuniform vec3 contourColor;\n\nvoid main() {\n gl_FragColor = vec4(contourColor, 1.0);\n}\n"]);e.meshShader={vertex:i,fragment:a,attributes:[{name:"position",type:"vec3"},{name:"normal",type:"vec3"},{name:"color",type:"vec4"},{name:"uv",type:"vec2"}]},e.wireShader={vertex:o,fragment:s,attributes:[{name:"position",type:"vec3"},{name:"color",type:"vec4"},{name:"uv",type:"vec2"}]},e.pointShader={vertex:l,fragment:u,attributes:[{name:"position",type:"vec3"},{name:"color",type:"vec4"},{name:"uv",type:"vec2"},{name:"pointSize",type:"float"}]},e.pickShader={vertex:c,fragment:f,attributes:[{name:"position",type:"vec3"},{name:"id",type:"vec4"}]},e.pointPickShader={vertex:h,fragment:f,attributes:[{name:"position",type:"vec3"},{name:"pointSize",type:"float"},{name:"id",type:"vec4"}]},e.contourShader={vertex:p,fragment:d,attributes:[{name:"position",type:"vec3"}]}},8116:function(t,e,r){"use strict";var n=r(5158),i=r(5827),a=r(2944),o=r(8931),s=r(115),l=r(104),u=r(7437),c=r(5050),f=r(9156),h=r(7212),p=r(5306),d=r(2056),v=r(4340),g=d.meshShader,y=d.wireShader,m=d.pointShader,x=d.pickShader,b=d.pointPickShader,_=d.contourShader,w=[1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1];function T(t,e,r,n,i,a,o,s,l,u,c,f,h,p,d,v,g,y,m,x,b,_,T,k,A,M,S){this.gl=t,this.pixelRatio=1,this.cells=[],this.positions=[],this.intensity=[],this.texture=e,this.dirty=!0,this.triShader=r,this.lineShader=n,this.pointShader=i,this.pickShader=a,this.pointPickShader=o,this.contourShader=s,this.trianglePositions=l,this.triangleColors=c,this.triangleNormals=h,this.triangleUVs=f,this.triangleIds=u,this.triangleVAO=p,this.triangleCount=0,this.lineWidth=1,this.edgePositions=d,this.edgeColors=g,this.edgeUVs=y,this.edgeIds=v,this.edgeVAO=m,this.edgeCount=0,this.pointPositions=x,this.pointColors=_,this.pointUVs=T,this.pointSizes=k,this.pointIds=b,this.pointVAO=A,this.pointCount=0,this.contourLineWidth=1,this.contourPositions=M,this.contourVAO=S,this.contourCount=0,this.contourColor=[0,0,0],this.contourEnable=!0,this.pickVertex=!0,this.pickId=1,this.bounds=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]],this.clipBounds=[[-1/0,-1/0,-1/0],[1/0,1/0,1/0]],this.lightPosition=[1e5,1e5,0],this.ambientLight=.8,this.diffuseLight=.8,this.specularLight=2,this.roughness=.5,this.fresnel=1.5,this.opacity=1,this.hasAlpha=!1,this.opacityscale=!1,this._model=w,this._view=w,this._projection=w,this._resolution=[1,1]}var k=T.prototype;function A(t,e){if(!e)return 1;if(!e.length)return 1;for(var r=0;rt&&r>0){var n=(e[r][0]-t)/(e[r][0]-e[r-1][0]);return e[r][1]*(1-n)+n*e[r-1][1]}}return 1}function M(t){var e=n(t,m.vertex,m.fragment);return e.attributes.position.location=0,e.attributes.color.location=2,e.attributes.uv.location=3,e.attributes.pointSize.location=4,e}function S(t){var e=n(t,x.vertex,x.fragment);return e.attributes.position.location=0,e.attributes.id.location=1,e}function E(t){var e=n(t,b.vertex,b.fragment);return e.attributes.position.location=0,e.attributes.id.location=1,e.attributes.pointSize.location=4,e}function L(t){var e=n(t,_.vertex,_.fragment);return e.attributes.position.location=0,e}k.isOpaque=function(){return!this.hasAlpha},k.isTransparent=function(){return this.hasAlpha},k.pickSlots=1,k.setPickBase=function(t){this.pickId=t},k.highlight=function(t){if(t&&this.contourEnable){for(var e=h(this.cells,this.intensity,t.intensity),r=e.cells,n=e.vertexIds,i=e.vertexWeights,a=r.length,o=p.mallocFloat32(6*a),s=0,l=0;l0&&((f=this.triShader).bind(),f.uniforms=s,this.triangleVAO.bind(),e.drawArrays(e.TRIANGLES,0,3*this.triangleCount),this.triangleVAO.unbind()),this.edgeCount>0&&this.lineWidth>0&&((f=this.lineShader).bind(),f.uniforms=s,this.edgeVAO.bind(),e.lineWidth(this.lineWidth*this.pixelRatio),e.drawArrays(e.LINES,0,2*this.edgeCount),this.edgeVAO.unbind()),this.pointCount>0&&((f=this.pointShader).bind(),f.uniforms=s,this.pointVAO.bind(),e.drawArrays(e.POINTS,0,this.pointCount),this.pointVAO.unbind()),this.contourEnable&&this.contourCount>0&&this.contourLineWidth>0&&((f=this.contourShader).bind(),f.uniforms=s,this.contourVAO.bind(),e.drawArrays(e.LINES,0,this.contourCount),this.contourVAO.unbind())},k.drawPick=function(t){t=t||{};for(var e=this.gl,r=t.model||w,n=t.view||w,i=t.projection||w,a=[[-1e6,-1e6,-1e6],[1e6,1e6,1e6]],o=0;o<3;++o)a[0][o]=Math.max(a[0][o],this.clipBounds[0][o]),a[1][o]=Math.min(a[1][o],this.clipBounds[1][o]);this._model=[].slice.call(r),this._view=[].slice.call(n),this._projection=[].slice.call(i),this._resolution=[e.drawingBufferWidth,e.drawingBufferHeight];var s,l={model:r,view:n,projection:i,clipBounds:a,pickId:this.pickId/255};(s=this.pickShader).bind(),s.uniforms=l,this.triangleCount>0&&(this.triangleVAO.bind(),e.drawArrays(e.TRIANGLES,0,3*this.triangleCount),this.triangleVAO.unbind()),this.edgeCount>0&&(this.edgeVAO.bind(),e.lineWidth(this.lineWidth*this.pixelRatio),e.drawArrays(e.LINES,0,2*this.edgeCount),this.edgeVAO.unbind()),this.pointCount>0&&((s=this.pointPickShader).bind(),s.uniforms=l,this.pointVAO.bind(),e.drawArrays(e.POINTS,0,this.pointCount),this.pointVAO.unbind())},k.pick=function(t){if(!t)return null;if(t.id!==this.pickId)return null;for(var e=t.value[0]+256*t.value[1]+65536*t.value[2],r=this.cells[e],n=this.positions,i=new Array(r.length),a=0;ai[k]&&(r.uniforms.dataAxis=u,r.uniforms.screenOffset=c,r.uniforms.color=g[t],r.uniforms.angle=y[t],a.drawArrays(a.TRIANGLES,i[k],i[A]-i[k]))),m[t]&&T&&(c[1^t]-=M*p*x[t],r.uniforms.dataAxis=f,r.uniforms.screenOffset=c,r.uniforms.color=b[t],r.uniforms.angle=_[t],a.drawArrays(a.TRIANGLES,w,T)),c[1^t]=M*s[2+(1^t)]-1,d[t+2]&&(c[1^t]+=M*p*v[t+2],ki[k]&&(r.uniforms.dataAxis=u,r.uniforms.screenOffset=c,r.uniforms.color=g[t+2],r.uniforms.angle=y[t+2],a.drawArrays(a.TRIANGLES,i[k],i[A]-i[k]))),m[t+2]&&T&&(c[1^t]+=M*p*x[t+2],r.uniforms.dataAxis=f,r.uniforms.screenOffset=c,r.uniforms.color=b[t+2],r.uniforms.angle=_[t+2],a.drawArrays(a.TRIANGLES,w,T))}),v.drawTitle=function(){var t=[0,0],e=[0,0];return function(){var r=this.plot,n=this.shader,i=r.gl,a=r.screenBox,o=r.titleCenter,s=r.titleAngle,l=r.titleColor,u=r.pixelRatio;if(this.titleCount){for(var c=0;c<2;++c)e[c]=2*(o[c]*u-a[c])/(a[2+c]-a[c])-1;n.bind(),n.uniforms.dataAxis=t,n.uniforms.screenOffset=e,n.uniforms.angle=s,n.uniforms.color=l,i.drawArrays(i.TRIANGLES,this.titleOffset,this.titleCount)}}}(),v.bind=(h=[0,0],p=[0,0],d=[0,0],function(){var t=this.plot,e=this.shader,r=t._tickBounds,n=t.dataBox,i=t.screenBox,a=t.viewBox;e.bind();for(var o=0;o<2;++o){var s=r[o],l=r[o+2]-s,u=.5*(n[o+2]+n[o]),c=n[o+2]-n[o],f=a[o],v=a[o+2]-f,g=i[o],y=i[o+2]-g;p[o]=2*l/c*v/y,h[o]=2*(s-u)/c*v/y}d[1]=2*t.pixelRatio/(i[3]-i[1]),d[0]=d[1]*(i[3]-i[1])/(i[2]-i[0]),e.uniforms.dataScale=p,e.uniforms.dataShift=h,e.uniforms.textScale=d,this.vbo.bind(),e.attributes.textCoordinate.pointer()}),v.update=function(t){var e,r,n,i,o,s=[],l=t.ticks,u=t.bounds;for(o=0;o<2;++o){var c=[Math.floor(s.length/3)],f=[-1/0],h=l[o];for(e=0;e=0){var v=e[d]-n[d]*(e[d+2]-e[d])/(n[d+2]-n[d]);0===d?o.drawLine(v,e[1],v,e[3],p[d],h[d]):o.drawLine(e[0],v,e[2],v,p[d],h[d])}}for(d=0;d=0;--t)this.objects[t].dispose();for(this.objects.length=0,t=this.overlays.length-1;t>=0;--t)this.overlays[t].dispose();this.overlays.length=0,this.gl=null},u.addObject=function(t){this.objects.indexOf(t)<0&&(this.objects.push(t),this.setDirty())},u.removeObject=function(t){for(var e=this.objects,r=0;rMath.abs(e))u.rotate(a,0,0,-t*r*Math.PI*d.rotateSpeed/window.innerWidth);else if(!d._ortho){var o=-d.zoomSpeed*i*e/window.innerHeight*(a-u.lastT())/20;u.pan(a,0,0,f*(Math.exp(o)-1))}}}),!0)},d.enableMouseListeners(),d};var n=r(8161),i=r(1152),a=r(6145),o=r(6475),s=r(2565),l=r(5233)},8245:function(t,e,r){var n=r(6832),i=r(5158),a=n(["precision mediump float;\n#define GLSLIFY 1\nattribute vec2 position;\nvarying vec2 uv;\nvoid main() {\n uv = position;\n gl_Position = vec4(position, 0, 1);\n}"]),o=n(["precision mediump float;\n#define GLSLIFY 1\n\nuniform sampler2D accumBuffer;\nvarying vec2 uv;\n\nvoid main() {\n vec4 accum = texture2D(accumBuffer, 0.5 * (uv + 1.0));\n gl_FragColor = min(vec4(1,1,1,1), accum);\n}"]);t.exports=function(t){return i(t,a,o,null,[{name:"position",type:"vec2"}])}},1059:function(t,e,r){"use strict";var n=r(4296),i=r(7453),a=r(2771),o=r(6496),s=r(2611),l=r(4234),u=r(8126),c=r(6145),f=r(1120),h=r(5268),p=r(8245),d=r(2321)({tablet:!0,featureDetect:!0});function v(){this.mouse=[-1,-1],this.screen=null,this.distance=1/0,this.index=null,this.dataCoordinate=null,this.dataPosition=null,this.object=null,this.data=null}function g(t){var e=Math.round(Math.log(Math.abs(t))/Math.log(10));if(e<0){var r=Math.round(Math.pow(10,-e));return Math.ceil(t*r)/r}return e>0?(r=Math.round(Math.pow(10,e)),Math.ceil(t/r)*r):Math.ceil(t)}function y(t){return"boolean"!=typeof t||t}t.exports={createScene:function(t){(t=t||{}).camera=t.camera||{};var e=t.canvas;e||(e=document.createElement("canvas"),t.container?t.container.appendChild(e):document.body.appendChild(e));var r=t.gl;if(r||(t.glOptions&&(d=!!t.glOptions.preserveDrawingBuffer),r=function(t,e){var r=null;try{(r=t.getContext("webgl",e))||(r=t.getContext("experimental-webgl",e))}catch(t){return null}return r}(e,t.glOptions||{premultipliedAlpha:!0,antialias:!0,preserveDrawingBuffer:d})),!r)throw new Error("webgl not supported");var m=t.bounds||[[-10,-10,-10],[10,10,10]],x=new v,b=l(r,r.drawingBufferWidth,r.drawingBufferHeight,{preferFloat:!d}),_=p(r),w=t.cameraObject&&!0===t.cameraObject._ortho||t.camera.projection&&"orthographic"===t.camera.projection.type||!1,T={eye:t.camera.eye||[2,0,0],center:t.camera.center||[0,0,0],up:t.camera.up||[0,1,0],zoomMin:t.camera.zoomMax||.1,zoomMax:t.camera.zoomMin||100,mode:t.camera.mode||"turntable",_ortho:w},k=t.axes||{},A=i(r,k);A.enable=!k.disable;var M=t.spikes||{},S=o(r,M),E=[],L=[],C=[],P=[],O=!0,I=!0,D={view:null,projection:new Array(16),model:new Array(16),_ortho:!1},z=(I=!0,[r.drawingBufferWidth,r.drawingBufferHeight]),R=t.cameraObject||n(e,T),F={gl:r,contextLost:!1,pixelRatio:t.pixelRatio||1,canvas:e,selection:x,camera:R,axes:A,axesPixels:null,spikes:S,bounds:m,objects:E,shape:z,aspect:t.aspectRatio||[1,1,1],pickRadius:t.pickRadius||10,zNear:t.zNear||.01,zFar:t.zFar||1e3,fovy:t.fovy||Math.PI/4,clearColor:t.clearColor||[0,0,0,0],autoResize:y(t.autoResize),autoBounds:y(t.autoBounds),autoScale:!!t.autoScale,autoCenter:y(t.autoCenter),clipToBounds:y(t.clipToBounds),snapToData:!!t.snapToData,onselect:t.onselect||null,onrender:t.onrender||null,onclick:t.onclick||null,cameraParams:D,oncontextloss:null,mouseListener:null,_stopped:!1,getAspectratio:function(){return{x:this.aspect[0],y:this.aspect[1],z:this.aspect[2]}},setAspectratio:function(t){this.aspect[0]=t.x,this.aspect[1]=t.y,this.aspect[2]=t.z,I=!0},setBounds:function(t,e){this.bounds[0][t]=e.min,this.bounds[1][t]=e.max},setClearColor:function(t){this.clearColor=t},clearRGBA:function(){this.gl.clearColor(this.clearColor[0],this.clearColor[1],this.clearColor[2],this.clearColor[3]),this.gl.clear(this.gl.COLOR_BUFFER_BIT|this.gl.DEPTH_BUFFER_BIT)}},B=[r.drawingBufferWidth/F.pixelRatio|0,r.drawingBufferHeight/F.pixelRatio|0];function N(){if(!F._stopped&&F.autoResize){var t=e.parentNode,r=1,n=1;t&&t!==document.body?(r=t.clientWidth,n=t.clientHeight):(r=window.innerWidth,n=window.innerHeight);var i=0|Math.ceil(r*F.pixelRatio),a=0|Math.ceil(n*F.pixelRatio);if(i!==e.width||a!==e.height){e.width=i,e.height=a;var o=e.style;o.position=o.position||"absolute",o.left="0px",o.top="0px",o.width=r+"px",o.height=n+"px",O=!0}}}function j(){for(var t=E.length,e=P.length,n=0;n0&&0===C[e-1];)C.pop(),P.pop().dispose()}function U(){if(F.contextLost)return!0;r.isContextLost()&&(F.contextLost=!0,F.mouseListener.enabled=!1,F.selection.object=null,F.oncontextloss&&F.oncontextloss())}F.autoResize&&N(),window.addEventListener("resize",N),F.update=function(t){F._stopped||(t=t||{},O=!0,I=!0)},F.add=function(t){F._stopped||(t.axes=A,E.push(t),L.push(-1),O=!0,I=!0,j())},F.remove=function(t){if(!F._stopped){var e=E.indexOf(t);e<0||(E.splice(e,1),L.pop(),O=!0,I=!0,j())}},F.dispose=function(){if(!F._stopped&&(F._stopped=!0,window.removeEventListener("resize",N),e.removeEventListener("webglcontextlost",U),F.mouseListener.enabled=!1,!F.contextLost)){A.dispose(),S.dispose();for(var t=0;tx.distance)continue;for(var u=0;u 1.0) {\n discard;\n }\n baseColor = mix(borderColor, color, step(radius, centerFraction));\n gl_FragColor = vec4(baseColor.rgb * baseColor.a, baseColor.a);\n }\n}\n"]),e.pickVertex=n(["precision mediump float;\n#define GLSLIFY 1\n\nattribute vec2 position;\nattribute vec4 pickId;\n\nuniform mat3 matrix;\nuniform float pointSize;\nuniform vec4 pickOffset;\n\nvarying vec4 fragId;\n\nvoid main() {\n vec3 hgPosition = matrix * vec3(position, 1);\n gl_Position = vec4(hgPosition.xy, 0, hgPosition.z);\n gl_PointSize = pointSize;\n\n vec4 id = pickId + pickOffset;\n id.y += floor(id.x / 256.0);\n id.x -= floor(id.x / 256.0) * 256.0;\n\n id.z += floor(id.y / 256.0);\n id.y -= floor(id.y / 256.0) * 256.0;\n\n id.w += floor(id.z / 256.0);\n id.z -= floor(id.z / 256.0) * 256.0;\n\n fragId = id;\n}\n"]),e.pickFragment=n(["precision mediump float;\n#define GLSLIFY 1\n\nvarying vec4 fragId;\n\nvoid main() {\n float radius = length(2.0 * gl_PointCoord.xy - 1.0);\n if(radius > 1.0) {\n discard;\n }\n gl_FragColor = fragId / 255.0;\n}\n"])},8271:function(t,e,r){"use strict";var n=r(5158),i=r(5827),a=r(5306),o=r(8023);function s(t,e,r,n,i){this.plot=t,this.offsetBuffer=e,this.pickBuffer=r,this.shader=n,this.pickShader=i,this.sizeMin=.5,this.sizeMinCap=2,this.sizeMax=20,this.areaRatio=1,this.pointCount=0,this.color=[1,0,0,1],this.borderColor=[0,0,0,1],this.blend=!1,this.pickOffset=0,this.points=null}t.exports=function(t,e){var r=t.gl,a=new s(t,i(r),i(r),n(r,o.pointVertex,o.pointFragment),n(r,o.pickVertex,o.pickFragment));return a.update(e),t.addObject(a),a};var l,u,c=s.prototype;c.dispose=function(){this.shader.dispose(),this.pickShader.dispose(),this.offsetBuffer.dispose(),this.pickBuffer.dispose(),this.plot.removeObject(this)},c.update=function(t){var e;function r(e,r){return e in t?t[e]:r}t=t||{},this.sizeMin=r("sizeMin",.5),this.sizeMax=r("sizeMax",20),this.color=r("color",[1,0,0,1]).slice(),this.areaRatio=r("areaRatio",1),this.borderColor=r("borderColor",[0,0,0,1]).slice(),this.blend=r("blend",!1);var n=t.positions.length>>>1,i=t.positions instanceof Float32Array,o=t.idToIndex instanceof Int32Array&&t.idToIndex.length>=n,s=t.positions,l=i?s:a.mallocFloat32(s.length),u=o?t.idToIndex:a.mallocInt32(n);if(i||l.set(s),!o)for(l.set(s),e=0;e>>1;for(r=0;r=e[0]&&a<=e[2]&&o>=e[1]&&o<=e[3]&&n++}return n}(this.points,i),c=this.plot.pickPixelRatio*Math.max(Math.min(this.sizeMinCap,this.sizeMin),Math.min(this.sizeMax,this.sizeMax/Math.pow(s,.33333)));l[0]=2/a,l[4]=2/o,l[6]=-2*i[0]/a-1,l[7]=-2*i[1]/o-1,this.offsetBuffer.bind(),r.bind(),r.attributes.position.pointer(),r.uniforms.matrix=l,r.uniforms.color=this.color,r.uniforms.borderColor=this.borderColor,r.uniforms.pointCloud=c<5,r.uniforms.pointSize=c,r.uniforms.centerFraction=Math.min(1,Math.max(0,Math.sqrt(1-this.areaRatio))),e&&(u[0]=255&t,u[1]=t>>8&255,u[2]=t>>16&255,u[3]=t>>24&255,this.pickBuffer.bind(),r.attributes.pickId.pointer(n.UNSIGNED_BYTE),r.uniforms.pickOffset=u,this.pickOffset=t);var f=n.getParameter(n.BLEND),h=n.getParameter(n.DITHER);return f&&!this.blend&&n.disable(n.BLEND),h&&n.disable(n.DITHER),n.drawArrays(n.POINTS,0,this.pointCount),f&&!this.blend&&n.enable(n.BLEND),h&&n.enable(n.DITHER),t+this.pointCount}),c.draw=c.unifiedDraw,c.drawPick=c.unifiedDraw,c.pick=function(t,e,r){var n=this.pickOffset,i=this.pointCount;if(r=n+i)return null;var a=r-n,o=this.points;return{object:this,pointId:a,dataCoord:[o[2*a],o[2*a+1]]}}},6093:function(t){t.exports=function(t,e,r,n){var i,a,o,s,l,u=e[0],c=e[1],f=e[2],h=e[3],p=r[0],d=r[1],v=r[2],g=r[3];return(a=u*p+c*d+f*v+h*g)<0&&(a=-a,p=-p,d=-d,v=-v,g=-g),1-a>1e-6?(i=Math.acos(a),o=Math.sin(i),s=Math.sin((1-n)*i)/o,l=Math.sin(n*i)/o):(s=1-n,l=n),t[0]=s*u+l*p,t[1]=s*c+l*d,t[2]=s*f+l*v,t[3]=s*h+l*g,t}},8240:function(t){"use strict";t.exports=function(t){return t||0===t?t.toString():""}},4123:function(t,e,r){"use strict";var n=r(875);t.exports=function(t,e,r){var a=i[e];if(a||(a=i[e]={}),t in a)return a[t];var o={textAlign:"center",textBaseline:"middle",lineHeight:1,font:e,lineSpacing:1.25,styletags:{breaklines:!0,bolds:!0,italics:!0,subscripts:!0,superscripts:!0},triangles:!0},s=n(t,o);o.triangles=!1;var l,u,c=n(t,o);if(r&&1!==r){for(l=0;l max(a, b)) || \n (p < min(a, b)));\n}\n\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\n return (outOfRange(a.x, b.x, p.x) ||\n outOfRange(a.y, b.y, p.y));\n}\n\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\n return (outOfRange(a.x, b.x, p.x) ||\n outOfRange(a.y, b.y, p.y) ||\n outOfRange(a.z, b.z, p.z));\n}\n\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\n return outOfRange(a.xyz, b.xyz, p.xyz);\n}\n\nattribute vec3 position;\nattribute vec4 color;\nattribute vec2 glyph;\nattribute vec4 id;\n\nuniform vec4 highlightId;\nuniform float highlightScale;\nuniform mat4 model, view, projection;\nuniform vec3 clipBounds[2];\n\nvarying vec4 interpColor;\nvarying vec4 pickId;\nvarying vec3 dataCoordinate;\n\nvoid main() {\n if (outOfRange(clipBounds[0], clipBounds[1], position)) {\n\n gl_Position = vec4(0,0,0,0);\n } else {\n float scale = 1.0;\n if(distance(highlightId, id) < 0.0001) {\n scale = highlightScale;\n }\n\n vec4 worldPosition = model * vec4(position, 1);\n vec4 viewPosition = view * worldPosition;\n viewPosition = viewPosition / viewPosition.w;\n vec4 clipPosition = projection * (viewPosition + scale * vec4(glyph.x, -glyph.y, 0, 0));\n\n gl_Position = clipPosition;\n interpColor = color;\n pickId = id;\n dataCoordinate = position;\n }\n}"]),o=i(["precision highp float;\n#define GLSLIFY 1\n\nbool outOfRange(float a, float b, float p) {\n return ((p > max(a, b)) || \n (p < min(a, b)));\n}\n\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\n return (outOfRange(a.x, b.x, p.x) ||\n outOfRange(a.y, b.y, p.y));\n}\n\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\n return (outOfRange(a.x, b.x, p.x) ||\n outOfRange(a.y, b.y, p.y) ||\n outOfRange(a.z, b.z, p.z));\n}\n\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\n return outOfRange(a.xyz, b.xyz, p.xyz);\n}\n\nattribute vec3 position;\nattribute vec4 color;\nattribute vec2 glyph;\nattribute vec4 id;\n\nuniform mat4 model, view, projection;\nuniform vec2 screenSize;\nuniform vec3 clipBounds[2];\nuniform float highlightScale, pixelRatio;\nuniform vec4 highlightId;\n\nvarying vec4 interpColor;\nvarying vec4 pickId;\nvarying vec3 dataCoordinate;\n\nvoid main() {\n if (outOfRange(clipBounds[0], clipBounds[1], position)) {\n\n gl_Position = vec4(0,0,0,0);\n } else {\n float scale = pixelRatio;\n if(distance(highlightId.bgr, id.bgr) < 0.001) {\n scale *= highlightScale;\n }\n\n vec4 worldPosition = model * vec4(position, 1.0);\n vec4 viewPosition = view * worldPosition;\n vec4 clipPosition = projection * viewPosition;\n clipPosition /= clipPosition.w;\n\n gl_Position = clipPosition + vec4(screenSize * scale * vec2(glyph.x, -glyph.y), 0.0, 0.0);\n interpColor = color;\n pickId = id;\n dataCoordinate = position;\n }\n}"]),s=i(["precision highp float;\n#define GLSLIFY 1\n\nbool outOfRange(float a, float b, float p) {\n return ((p > max(a, b)) || \n (p < min(a, b)));\n}\n\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\n return (outOfRange(a.x, b.x, p.x) ||\n outOfRange(a.y, b.y, p.y));\n}\n\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\n return (outOfRange(a.x, b.x, p.x) ||\n outOfRange(a.y, b.y, p.y) ||\n outOfRange(a.z, b.z, p.z));\n}\n\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\n return outOfRange(a.xyz, b.xyz, p.xyz);\n}\n\nattribute vec3 position;\nattribute vec4 color;\nattribute vec2 glyph;\nattribute vec4 id;\n\nuniform float highlightScale;\nuniform vec4 highlightId;\nuniform vec3 axes[2];\nuniform mat4 model, view, projection;\nuniform vec2 screenSize;\nuniform vec3 clipBounds[2];\nuniform float scale, pixelRatio;\n\nvarying vec4 interpColor;\nvarying vec4 pickId;\nvarying vec3 dataCoordinate;\n\nvoid main() {\n if (outOfRange(clipBounds[0], clipBounds[1], position)) {\n\n gl_Position = vec4(0,0,0,0);\n } else {\n float lscale = pixelRatio * scale;\n if(distance(highlightId, id) < 0.0001) {\n lscale *= highlightScale;\n }\n\n vec4 clipCenter = projection * view * model * vec4(position, 1);\n vec3 dataPosition = position + 0.5*lscale*(axes[0] * glyph.x + axes[1] * glyph.y) * clipCenter.w * screenSize.y;\n vec4 clipPosition = projection * view * model * vec4(dataPosition, 1);\n\n gl_Position = clipPosition;\n interpColor = color;\n pickId = id;\n dataCoordinate = dataPosition;\n }\n}\n"]),l=i(["precision highp float;\n#define GLSLIFY 1\n\nbool outOfRange(float a, float b, float p) {\n return ((p > max(a, b)) || \n (p < min(a, b)));\n}\n\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\n return (outOfRange(a.x, b.x, p.x) ||\n outOfRange(a.y, b.y, p.y));\n}\n\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\n return (outOfRange(a.x, b.x, p.x) ||\n outOfRange(a.y, b.y, p.y) ||\n outOfRange(a.z, b.z, p.z));\n}\n\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\n return outOfRange(a.xyz, b.xyz, p.xyz);\n}\n\nuniform vec3 fragClipBounds[2];\nuniform float opacity;\n\nvarying vec4 interpColor;\nvarying vec3 dataCoordinate;\n\nvoid main() {\n if (\n outOfRange(fragClipBounds[0], fragClipBounds[1], dataCoordinate) ||\n interpColor.a * opacity == 0.\n ) discard;\n gl_FragColor = interpColor * opacity;\n}\n"]),u=i(["precision highp float;\n#define GLSLIFY 1\n\nbool outOfRange(float a, float b, float p) {\n return ((p > max(a, b)) || \n (p < min(a, b)));\n}\n\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\n return (outOfRange(a.x, b.x, p.x) ||\n outOfRange(a.y, b.y, p.y));\n}\n\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\n return (outOfRange(a.x, b.x, p.x) ||\n outOfRange(a.y, b.y, p.y) ||\n outOfRange(a.z, b.z, p.z));\n}\n\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\n return outOfRange(a.xyz, b.xyz, p.xyz);\n}\n\nuniform vec3 fragClipBounds[2];\nuniform float pickGroup;\n\nvarying vec4 pickId;\nvarying vec3 dataCoordinate;\n\nvoid main() {\n if (outOfRange(fragClipBounds[0], fragClipBounds[1], dataCoordinate)) discard;\n\n gl_FragColor = vec4(pickGroup, pickId.bgr);\n}"]),c=[{name:"position",type:"vec3"},{name:"color",type:"vec4"},{name:"glyph",type:"vec2"},{name:"id",type:"vec4"}],f={vertex:a,fragment:l,attributes:c},h={vertex:o,fragment:l,attributes:c},p={vertex:s,fragment:l,attributes:c},d={vertex:a,fragment:u,attributes:c},v={vertex:o,fragment:u,attributes:c},g={vertex:s,fragment:u,attributes:c};function y(t,e){var r=n(t,e),i=r.attributes;return i.position.location=0,i.color.location=1,i.glyph.location=2,i.id.location=3,r}e.createPerspective=function(t){return y(t,f)},e.createOrtho=function(t){return y(t,h)},e.createProject=function(t){return y(t,p)},e.createPickPerspective=function(t){return y(t,d)},e.createPickOrtho=function(t){return y(t,v)},e.createPickProject=function(t){return y(t,g)}},2182:function(t,e,r){"use strict";var n=r(3596),i=r(5827),a=r(2944),o=r(5306),s=r(104),l=r(9282),u=r(4123),c=r(8240),f=[1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1];function h(t,e){var r=t[0],n=t[1],i=t[2],a=t[3];return t[0]=e[0]*r+e[4]*n+e[8]*i+e[12]*a,t[1]=e[1]*r+e[5]*n+e[9]*i+e[13]*a,t[2]=e[2]*r+e[6]*n+e[10]*i+e[14]*a,t[3]=e[3]*r+e[7]*n+e[11]*i+e[15]*a,t}function p(t,e,r,n){return h(n,n),h(n,n),h(n,n)}function d(t,e){this.index=t,this.dataCoordinate=this.position=e}function v(t){return!0===t||t>1?1:t}function g(t,e,r,n,i,a,o,s,l,u,c,f){this.gl=t,this.pixelRatio=1,this.shader=e,this.orthoShader=r,this.projectShader=n,this.pointBuffer=i,this.colorBuffer=a,this.glyphBuffer=o,this.idBuffer=s,this.vao=l,this.vertexCount=0,this.lineVertexCount=0,this.opacity=1,this.hasAlpha=!1,this.lineWidth=0,this.projectScale=[2/3,2/3,2/3],this.projectOpacity=[1,1,1],this.projectHasAlpha=!1,this.pickId=0,this.pickPerspectiveShader=u,this.pickOrthoShader=c,this.pickProjectShader=f,this.points=[],this._selectResult=new d(0,[0,0,0]),this.useOrtho=!0,this.bounds=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]],this.axesProject=[!0,!0,!0],this.axesBounds=[[-1/0,-1/0,-1/0],[1/0,1/0,1/0]],this.highlightId=[1,1,1,1],this.highlightScale=2,this.clipBounds=[[-1/0,-1/0,-1/0],[1/0,1/0,1/0]],this.dirty=!0}t.exports=function(t){var e=t.gl,r=l.createPerspective(e),n=l.createOrtho(e),o=l.createProject(e),s=l.createPickPerspective(e),u=l.createPickOrtho(e),c=l.createPickProject(e),f=i(e),h=i(e),p=i(e),d=i(e),v=new g(e,r,n,o,f,h,p,d,a(e,[{buffer:f,size:3,type:e.FLOAT},{buffer:h,size:4,type:e.FLOAT},{buffer:p,size:2,type:e.FLOAT},{buffer:d,size:4,type:e.UNSIGNED_BYTE,normalized:!0}]),s,u,c);return v.update(t),v};var y=g.prototype;y.pickSlots=1,y.setPickBase=function(t){this.pickId=t},y.isTransparent=function(){if(this.hasAlpha)return!0;for(var t=0;t<3;++t)if(this.axesProject[t]&&this.projectHasAlpha)return!0;return!1},y.isOpaque=function(){if(!this.hasAlpha)return!0;for(var t=0;t<3;++t)if(this.axesProject[t]&&!this.projectHasAlpha)return!0;return!1};var m=[0,0],x=[0,0,0],b=[0,0,0],_=[0,0,0,1],w=[0,0,0,1],T=f.slice(),k=[0,0,0],A=[[0,0,0],[0,0,0]];function M(t){return t[0]=t[1]=t[2]=0,t}function S(t,e){return t[0]=e[0],t[1]=e[1],t[2]=e[2],t[3]=1,t}function E(t,e,r,n){return t[0]=e[0],t[1]=e[1],t[2]=e[2],t[r]=n,t}var L=[[-1e8,-1e8,-1e8],[1e8,1e8,1e8]];function C(t,e,r,n,i,a,o){var l=r.gl;if((a===r.projectHasAlpha||o)&&function(t,e,r,n){var i,a=e.axesProject,o=e.gl,l=t.uniforms,u=r.model||f,c=r.view||f,h=r.projection||f,d=e.axesBounds,v=function(t){for(var e=A,r=0;r<2;++r)for(var n=0;n<3;++n)e[r][n]=Math.max(Math.min(t[r][n],1e8),-1e8);return e}(e.clipBounds);i=e.axes&&e.axes.lastCubeProps?e.axes.lastCubeProps.axis:[1,1,1],m[0]=2/o.drawingBufferWidth,m[1]=2/o.drawingBufferHeight,t.bind(),l.view=c,l.projection=h,l.screenSize=m,l.highlightId=e.highlightId,l.highlightScale=e.highlightScale,l.clipBounds=v,l.pickGroup=e.pickId/255,l.pixelRatio=n;for(var g=0;g<3;++g)if(a[g]){l.scale=e.projectScale[g],l.opacity=e.projectOpacity[g];for(var y=T,L=0;L<16;++L)y[L]=0;for(L=0;L<4;++L)y[5*L]=1;y[5*g]=0,i[g]<0?y[12+g]=d[0][g]:y[12+g]=d[1][g],s(y,u,y),l.model=y;var C=(g+1)%3,P=(g+2)%3,O=M(x),I=M(b);O[C]=1,I[P]=1;var D=p(0,0,0,S(_,O)),z=p(0,0,0,S(w,I));if(Math.abs(D[1])>Math.abs(z[1])){var R=D;D=z,z=R,R=O,O=I,I=R;var F=C;C=P,P=F}D[0]<0&&(O[C]=-1),z[1]>0&&(I[P]=-1);var B=0,N=0;for(L=0;L<4;++L)B+=Math.pow(u[4*C+L],2),N+=Math.pow(u[4*P+L],2);O[C]/=Math.sqrt(B),I[P]/=Math.sqrt(N),l.axes[0]=O,l.axes[1]=I,l.fragClipBounds[0]=E(k,v[0],g,-1e8),l.fragClipBounds[1]=E(k,v[1],g,1e8),e.vao.bind(),e.vao.draw(o.TRIANGLES,e.vertexCount),e.lineWidth>0&&(o.lineWidth(e.lineWidth*n),e.vao.draw(o.LINES,e.lineVertexCount,e.vertexCount)),e.vao.unbind()}}(e,r,n,i),a===r.hasAlpha||o){t.bind();var u=t.uniforms;u.model=n.model||f,u.view=n.view||f,u.projection=n.projection||f,m[0]=2/l.drawingBufferWidth,m[1]=2/l.drawingBufferHeight,u.screenSize=m,u.highlightId=r.highlightId,u.highlightScale=r.highlightScale,u.fragClipBounds=L,u.clipBounds=r.axes.bounds,u.opacity=r.opacity,u.pickGroup=r.pickId/255,u.pixelRatio=i,r.vao.bind(),r.vao.draw(l.TRIANGLES,r.vertexCount),r.lineWidth>0&&(l.lineWidth(r.lineWidth*i),r.vao.draw(l.LINES,r.lineVertexCount,r.vertexCount)),r.vao.unbind()}}function P(t,e,r,i){var a;a=Array.isArray(t)?e=this.pointCount||e<0)return null;var r=this.points[e],n=this._selectResult;n.index=e;for(var i=0;i<3;++i)n.position[i]=n.dataCoordinate[i]=r[i];return n},y.highlight=function(t){if(t){var e=t.index,r=255&e,n=e>>8&255,i=e>>16&255;this.highlightId=[r/255,n/255,i/255,0]}else this.highlightId=[1,1,1,1]},y.update=function(t){if("perspective"in(t=t||{})&&(this.useOrtho=!t.perspective),"orthographic"in t&&(this.useOrtho=!!t.orthographic),"lineWidth"in t&&(this.lineWidth=t.lineWidth),"project"in t)if(Array.isArray(t.project))this.axesProject=t.project;else{var e=!!t.project;this.axesProject=[e,e,e]}if("projectScale"in t)if(Array.isArray(t.projectScale))this.projectScale=t.projectScale.slice();else{var r=+t.projectScale;this.projectScale=[r,r,r]}if(this.projectHasAlpha=!1,"projectOpacity"in t){Array.isArray(t.projectOpacity)?this.projectOpacity=t.projectOpacity.slice():(r=+t.projectOpacity,this.projectOpacity=[r,r,r]);for(var n=0;n<3;++n)this.projectOpacity[n]=v(this.projectOpacity[n]),this.projectOpacity[n]<1&&(this.projectHasAlpha=!0)}this.hasAlpha=!1,"opacity"in t&&(this.opacity=v(t.opacity),this.opacity<1&&(this.hasAlpha=!0)),this.dirty=!0;var i,a,s=t.position,l=t.font||"normal",u=t.alignment||[0,0];if(2===u.length)i=u[0],a=u[1];else for(i=[],a=[],n=0;n0){var I=0,D=x,z=[0,0,0,1],R=[0,0,0,1],F=Array.isArray(p)&&Array.isArray(p[0]),B=Array.isArray(y)&&Array.isArray(y[0]);t:for(n=0;n<_;++n){for(m+=1,w=s[n],T=0;T<3;++T){if(isNaN(w[T])||!isFinite(w[T]))continue t;f[T]=Math.max(f[T],w[T]),c[T]=Math.min(c[T],w[T])}k=(N=P(h,n,l,this.pixelRatio)).mesh,A=N.lines,M=N.bounds;var N,j=N.visible;if(j)if(Array.isArray(p)){if(3===(U=F?n0?1-M[0][0]:W<0?1+M[1][0]:1,Y*=Y>0?1-M[0][1]:Y<0?1+M[1][1]:1],Z=k.cells||[],K=k.positions||[];for(T=0;T0){var y=r*c;o.drawBox(f-y,h-y,p+y,h+y,a),o.drawBox(f-y,d-y,p+y,d+y,a),o.drawBox(f-y,h-y,f+y,d+y,a),o.drawBox(p-y,h-y,p+y,d+y,a)}}}},s.update=function(t){t=t||{},this.innerFill=!!t.innerFill,this.outerFill=!!t.outerFill,this.innerColor=(t.innerColor||[0,0,0,.5]).slice(),this.outerColor=(t.outerColor||[0,0,0,.5]).slice(),this.borderColor=(t.borderColor||[0,0,0,1]).slice(),this.borderWidth=t.borderWidth||0,this.selectBox=(t.selectBox||this.selectBox).slice()},s.dispose=function(){this.boxBuffer.dispose(),this.boxShader.dispose(),this.plot.removeOverlay(this)}},2611:function(t,e,r){"use strict";t.exports=function(t,e){var r=e[0],a=e[1];return new l(t,n(t,r,a,{}),i.mallocUint8(r*a*4))};var n=r(4234),i=r(5306),a=r(5050),o=r(2288).nextPow2;function s(t,e,r,n,i){this.coord=[t,e],this.id=r,this.value=n,this.distance=i}function l(t,e,r){this.gl=t,this.fbo=e,this.buffer=r,this._readTimeout=null;var n=this;this._readCallback=function(){n.gl&&(e.bind(),t.readPixels(0,0,e.shape[0],e.shape[1],t.RGBA,t.UNSIGNED_BYTE,n.buffer),n._readTimeout=null)}}var u=l.prototype;Object.defineProperty(u,"shape",{get:function(){return this.gl?this.fbo.shape.slice():[0,0]},set:function(t){if(this.gl){this.fbo.shape=t;var e=this.fbo.shape[0],r=this.fbo.shape[1];if(r*e*4>this.buffer.length){i.free(this.buffer);for(var n=this.buffer=i.mallocUint8(o(r*e*4)),a=0;ar)for(t=r;te)for(t=e;t=0){for(var T=0|w.type.charAt(w.type.length-1),k=new Array(T),A=0;A=0;)M+=1;_[m]=M}var S=new Array(r.length);function E(){h.program=o.program(p,h._vref,h._fref,b,_);for(var t=0;t=0){if((d=h.charCodeAt(h.length-1)-48)<2||d>4)throw new n("","Invalid data type for attribute "+f+": "+h);s(t,e,p[0],i,d,a,f)}else{if(!(h.indexOf("mat")>=0))throw new n("","Unknown data type for attribute "+f+": "+h);var d;if((d=h.charCodeAt(h.length-1)-48)<2||d>4)throw new n("","Invalid data type for attribute "+f+": "+h);l(t,e,p,i,d,a,f)}}}return a};var n=r(9068);function i(t,e,r,n,i,a){this._gl=t,this._wrapper=e,this._index=r,this._locations=n,this._dimension=i,this._constFunc=a}var a=i.prototype;a.pointer=function(t,e,r,n){var i=this,a=i._gl,o=i._locations[i._index];a.vertexAttribPointer(o,i._dimension,t||a.FLOAT,!!e,r||0,n||0),a.enableVertexAttribArray(o)},a.set=function(t,e,r,n){return this._constFunc(this._locations[this._index],t,e,r,n)},Object.defineProperty(a,"location",{get:function(){return this._locations[this._index]},set:function(t){return t!==this._locations[this._index]&&(this._locations[this._index]=0|t,this._wrapper.program=null),0|t}});var o=[function(t,e,r){return void 0===r.length?t.vertexAttrib1f(e,r):t.vertexAttrib1fv(e,r)},function(t,e,r,n){return void 0===r.length?t.vertexAttrib2f(e,r,n):t.vertexAttrib2fv(e,r)},function(t,e,r,n,i){return void 0===r.length?t.vertexAttrib3f(e,r,n,i):t.vertexAttrib3fv(e,r)},function(t,e,r,n,i,a){return void 0===r.length?t.vertexAttrib4f(e,r,n,i,a):t.vertexAttrib4fv(e,r)}];function s(t,e,r,n,a,s,l){var u=o[a],c=new i(t,e,r,n,a,u);Object.defineProperty(s,l,{set:function(e){return t.disableVertexAttribArray(n[r]),u(t,n[r],e),e},get:function(){return c},enumerable:!0})}function l(t,e,r,n,i,a,o){for(var l=new Array(i),u=new Array(i),c=0;c4)throw new i("","Invalid uniform dimension type for matrix "+name+": "+m);t["uniformMatrix"+y+"fv"](s[f],!1,h);break}throw new i("","Unknown uniform data type for "+name+": "+m)}if((y=m.charCodeAt(m.length-1)-48)<2||y>4)throw new i("","Invalid data type");switch(m.charAt(0)){case"b":case"i":t["uniform"+y+"iv"](s[f],h);break;case"v":t["uniform"+y+"fv"](s[f],h);break;default:throw new i("","Unrecognized data type for vector "+name+": "+m)}}}}}}function u(t,e){if("object"!=typeof e)return[[t,e]];var r=[];for(var n in e){var i=e[n],a=t;parseInt(n)+""===n?a+="["+n+"]":a+="."+n,"object"==typeof i?r.push.apply(r,u(a,i)):r.push([a,i])}return r}function c(t,e,n){if("object"==typeof n){var u=f(n);Object.defineProperty(t,e,{get:a(u),set:l(n),enumerable:!0,configurable:!1})}else s[n]?Object.defineProperty(t,e,{get:(c=n,function(t,e,r){return t.getUniform(e.program,r[c])}),set:l(n),enumerable:!0,configurable:!1}):t[e]=function(t){switch(t){case"bool":return!1;case"int":case"sampler2D":case"samplerCube":case"float":return 0;default:var e=t.indexOf("vec");if(0<=e&&e<=1&&t.length===4+e){if((r=t.charCodeAt(t.length-1)-48)<2||r>4)throw new i("","Invalid data type");return"b"===t.charAt(0)?o(r,!1):o(r,0)}if(0===t.indexOf("mat")&&4===t.length){var r;if((r=t.charCodeAt(t.length-1)-48)<2||r>4)throw new i("","Invalid uniform dimension type for matrix "+name+": "+t);return o(r*r,0)}throw new i("","Unknown uniform data type for "+name+": "+t)}}(r[n].type);var c}function f(t){var e;if(Array.isArray(t)){e=new Array(t.length);for(var r=0;r1){s[0]in a||(a[s[0]]=[]),a=a[s[0]];for(var l=1;l1)for(var l=0;l 0 U ||b|| > 0.\n // Assign z = 0, x = -b, y = a:\n // a*-b + b*a + c*0 = -ba + ba + 0 = 0\n if (v.x*v.x > v.z*v.z || v.y*v.y > v.z*v.z) {\n return normalize(vec3(-v.y, v.x, 0.0));\n } else {\n return normalize(vec3(0.0, v.z, -v.y));\n }\n}\n\n// Calculate the tube vertex and normal at the given index.\n//\n// The returned vertex is for a tube ring with its center at origin, radius of length(d), pointing in the direction of d.\n//\n// Each tube segment is made up of a ring of vertices.\n// These vertices are used to make up the triangles of the tube by connecting them together in the vertex array.\n// The indexes of tube segments run from 0 to 8.\n//\nvec3 getTubePosition(vec3 d, float index, out vec3 normal) {\n float segmentCount = 8.0;\n\n float angle = 2.0 * 3.14159 * (index / segmentCount);\n\n vec3 u = getOrthogonalVector(d);\n vec3 v = normalize(cross(u, d));\n\n vec3 x = u * cos(angle) * length(d);\n vec3 y = v * sin(angle) * length(d);\n vec3 v3 = x + y;\n\n normal = normalize(v3);\n\n return v3;\n}\n\nattribute vec4 vector;\nattribute vec4 color, position;\nattribute vec2 uv;\n\nuniform float vectorScale, tubeScale;\nuniform mat4 model, view, projection, inverseModel;\nuniform vec3 eyePosition, lightPosition;\n\nvarying vec3 f_normal, f_lightDirection, f_eyeDirection, f_data, f_position;\nvarying vec4 f_color;\nvarying vec2 f_uv;\n\nvoid main() {\n // Scale the vector magnitude to stay constant with\n // model & view changes.\n vec3 normal;\n vec3 XYZ = getTubePosition(mat3(model) * (tubeScale * vector.w * normalize(vector.xyz)), position.w, normal);\n vec4 tubePosition = model * vec4(position.xyz, 1.0) + vec4(XYZ, 0.0);\n\n //Lighting geometry parameters\n vec4 cameraCoordinate = view * tubePosition;\n cameraCoordinate.xyz /= cameraCoordinate.w;\n f_lightDirection = lightPosition - cameraCoordinate.xyz;\n f_eyeDirection = eyePosition - cameraCoordinate.xyz;\n f_normal = normalize((vec4(normal, 0.0) * inverseModel).xyz);\n\n // vec4 m_position = model * vec4(tubePosition, 1.0);\n vec4 t_position = view * tubePosition;\n gl_Position = projection * t_position;\n\n f_color = color;\n f_data = tubePosition.xyz;\n f_position = position.xyz;\n f_uv = uv;\n}\n"]),a=n(["#extension GL_OES_standard_derivatives : enable\n\nprecision highp float;\n#define GLSLIFY 1\n\nfloat beckmannDistribution(float x, float roughness) {\n float NdotH = max(x, 0.0001);\n float cos2Alpha = NdotH * NdotH;\n float tan2Alpha = (cos2Alpha - 1.0) / cos2Alpha;\n float roughness2 = roughness * roughness;\n float denom = 3.141592653589793 * roughness2 * cos2Alpha * cos2Alpha;\n return exp(tan2Alpha / roughness2) / denom;\n}\n\nfloat cookTorranceSpecular(\n vec3 lightDirection,\n vec3 viewDirection,\n vec3 surfaceNormal,\n float roughness,\n float fresnel) {\n\n float VdotN = max(dot(viewDirection, surfaceNormal), 0.0);\n float LdotN = max(dot(lightDirection, surfaceNormal), 0.0);\n\n //Half angle vector\n vec3 H = normalize(lightDirection + viewDirection);\n\n //Geometric term\n float NdotH = max(dot(surfaceNormal, H), 0.0);\n float VdotH = max(dot(viewDirection, H), 0.000001);\n float LdotH = max(dot(lightDirection, H), 0.000001);\n float G1 = (2.0 * NdotH * VdotN) / VdotH;\n float G2 = (2.0 * NdotH * LdotN) / LdotH;\n float G = min(1.0, min(G1, G2));\n \n //Distribution term\n float D = beckmannDistribution(NdotH, roughness);\n\n //Fresnel term\n float F = pow(1.0 - VdotN, fresnel);\n\n //Multiply terms and done\n return G * F * D / max(3.14159265 * VdotN, 0.000001);\n}\n\nbool outOfRange(float a, float b, float p) {\n return ((p > max(a, b)) || \n (p < min(a, b)));\n}\n\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\n return (outOfRange(a.x, b.x, p.x) ||\n outOfRange(a.y, b.y, p.y));\n}\n\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\n return (outOfRange(a.x, b.x, p.x) ||\n outOfRange(a.y, b.y, p.y) ||\n outOfRange(a.z, b.z, p.z));\n}\n\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\n return outOfRange(a.xyz, b.xyz, p.xyz);\n}\n\nuniform vec3 clipBounds[2];\nuniform float roughness, fresnel, kambient, kdiffuse, kspecular, opacity;\nuniform sampler2D texture;\n\nvarying vec3 f_normal, f_lightDirection, f_eyeDirection, f_data, f_position;\nvarying vec4 f_color;\nvarying vec2 f_uv;\n\nvoid main() {\n if (outOfRange(clipBounds[0], clipBounds[1], f_position)) discard;\n vec3 N = normalize(f_normal);\n vec3 L = normalize(f_lightDirection);\n vec3 V = normalize(f_eyeDirection);\n\n if(gl_FrontFacing) {\n N = -N;\n }\n\n float specular = min(1.0, max(0.0, cookTorranceSpecular(L, V, N, roughness, fresnel)));\n float diffuse = min(kambient + kdiffuse * max(dot(N, L), 0.0), 1.0);\n\n vec4 surfaceColor = f_color * texture2D(texture, f_uv);\n vec4 litColor = surfaceColor.a * vec4(diffuse * surfaceColor.rgb + kspecular * vec3(1,1,1) * specular, 1.0);\n\n gl_FragColor = litColor * opacity;\n}\n"]),o=n(["precision highp float;\n\nprecision highp float;\n#define GLSLIFY 1\n\nvec3 getOrthogonalVector(vec3 v) {\n // Return up-vector for only-z vector.\n // Return ax + by + cz = 0, a point that lies on the plane that has v as a normal and that isn't (0,0,0).\n // From the above if-statement we have ||a|| > 0 U ||b|| > 0.\n // Assign z = 0, x = -b, y = a:\n // a*-b + b*a + c*0 = -ba + ba + 0 = 0\n if (v.x*v.x > v.z*v.z || v.y*v.y > v.z*v.z) {\n return normalize(vec3(-v.y, v.x, 0.0));\n } else {\n return normalize(vec3(0.0, v.z, -v.y));\n }\n}\n\n// Calculate the tube vertex and normal at the given index.\n//\n// The returned vertex is for a tube ring with its center at origin, radius of length(d), pointing in the direction of d.\n//\n// Each tube segment is made up of a ring of vertices.\n// These vertices are used to make up the triangles of the tube by connecting them together in the vertex array.\n// The indexes of tube segments run from 0 to 8.\n//\nvec3 getTubePosition(vec3 d, float index, out vec3 normal) {\n float segmentCount = 8.0;\n\n float angle = 2.0 * 3.14159 * (index / segmentCount);\n\n vec3 u = getOrthogonalVector(d);\n vec3 v = normalize(cross(u, d));\n\n vec3 x = u * cos(angle) * length(d);\n vec3 y = v * sin(angle) * length(d);\n vec3 v3 = x + y;\n\n normal = normalize(v3);\n\n return v3;\n}\n\nattribute vec4 vector;\nattribute vec4 position;\nattribute vec4 id;\n\nuniform mat4 model, view, projection;\nuniform float tubeScale;\n\nvarying vec3 f_position;\nvarying vec4 f_id;\n\nvoid main() {\n vec3 normal;\n vec3 XYZ = getTubePosition(mat3(model) * (tubeScale * vector.w * normalize(vector.xyz)), position.w, normal);\n vec4 tubePosition = model * vec4(position.xyz, 1.0) + vec4(XYZ, 0.0);\n\n gl_Position = projection * view * tubePosition;\n f_id = id;\n f_position = position.xyz;\n}\n"]),s=n(["precision highp float;\n#define GLSLIFY 1\n\nbool outOfRange(float a, float b, float p) {\n return ((p > max(a, b)) || \n (p < min(a, b)));\n}\n\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\n return (outOfRange(a.x, b.x, p.x) ||\n outOfRange(a.y, b.y, p.y));\n}\n\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\n return (outOfRange(a.x, b.x, p.x) ||\n outOfRange(a.y, b.y, p.y) ||\n outOfRange(a.z, b.z, p.z));\n}\n\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\n return outOfRange(a.xyz, b.xyz, p.xyz);\n}\n\nuniform vec3 clipBounds[2];\nuniform float pickId;\n\nvarying vec3 f_position;\nvarying vec4 f_id;\n\nvoid main() {\n if (outOfRange(clipBounds[0], clipBounds[1], f_position)) discard;\n\n gl_FragColor = vec4(pickId, f_id.xyz);\n}"]);e.meshShader={vertex:i,fragment:a,attributes:[{name:"position",type:"vec4"},{name:"color",type:"vec4"},{name:"uv",type:"vec2"},{name:"vector",type:"vec4"}]},e.pickShader={vertex:o,fragment:s,attributes:[{name:"position",type:"vec4"},{name:"id",type:"vec4"},{name:"vector",type:"vec4"}]}},7307:function(t,e,r){"use strict";var n=r(2858),i=r(4020),a=["xyz","xzy","yxz","yzx","zxy","zyx"],o=function(t,e){var r,n=t.length;for(r=0;re)return r-1}return r},s=function(t,e,r){return tr?r:t},l=function(t){var e=1/0;t.sort((function(t,e){return t-e}));for(var r=t.length,n=1;nf-1||m>h-1||x>p-1)return n.create();var b,_,w,T,k,A,M=a[0][d],S=a[0][y],E=a[1][v],L=a[1][m],C=a[2][g],P=(l-M)/(S-M),O=(u-E)/(L-E),I=(c-C)/(a[2][x]-C);switch(isFinite(P)||(P=.5),isFinite(O)||(O=.5),isFinite(I)||(I=.5),r.reversedX&&(d=f-1-d,y=f-1-y),r.reversedY&&(v=h-1-v,m=h-1-m),r.reversedZ&&(g=p-1-g,x=p-1-x),r.filled){case 5:k=g,A=x,w=v*p,T=m*p,b=d*p*h,_=y*p*h;break;case 4:k=g,A=x,b=d*p,_=y*p,w=v*p*f,T=m*p*f;break;case 3:w=v,T=m,k=g*h,A=x*h,b=d*h*p,_=y*h*p;break;case 2:w=v,T=m,b=d*h,_=y*h,k=g*h*f,A=x*h*f;break;case 1:b=d,_=y,k=g*f,A=x*f,w=v*f*p,T=m*f*p;break;default:b=d,_=y,w=v*f,T=m*f,k=g*f*h,A=x*f*h}var D=i[b+w+k],z=i[b+w+A],R=i[b+T+k],F=i[b+T+A],B=i[_+w+k],N=i[_+w+A],j=i[_+T+k],U=i[_+T+A],V=n.create(),q=n.create(),H=n.create(),G=n.create();n.lerp(V,D,B,P),n.lerp(q,z,N,P),n.lerp(H,R,j,P),n.lerp(G,F,U,P);var W=n.create(),Y=n.create();n.lerp(W,V,H,O),n.lerp(Y,q,G,O);var X=n.create();return n.lerp(X,W,Y,I),X}(e,t,p)},v=t.getDivergence||function(t,e){var r=n.create(),i=1e-4;n.add(r,t,[i,0,0]);var a=d(r);n.subtract(a,a,e),n.scale(a,a,1/i),n.add(r,t,[0,i,0]);var o=d(r);n.subtract(o,o,e),n.scale(o,o,1/i),n.add(r,t,[0,0,i]);var s=d(r);return n.subtract(s,s,e),n.scale(s,s,1/i),n.add(r,a,o),n.add(r,r,s),r},g=[],y=e[0][0],m=e[0][1],x=e[0][2],b=e[1][0],_=e[1][1],w=e[1][2],T=function(t){var e=t[0],r=t[1],n=t[2];return!(eb||r_||nw)},k=10*n.distance(e[0],e[1])/u,A=k*k,M=1,S=0,E=r.length;E>1&&(M=function(t){for(var e=[],r=[],n=[],i={},a={},o={},s=t.length,u=0;uS&&(S=F),z.push(F),g.push({points:P,velocities:O,divergences:z});for(var B=0;B<100*u&&P.lengthA&&n.scale(N,N,k/Math.sqrt(j)),n.add(N,N,C),I=d(N),n.squaredDistance(D,N)-A>-1e-4*A&&(P.push(N),D=N,O.push(I),R=v(N,I),F=n.length(R),isFinite(F)&&F>S&&(S=F),z.push(F)),C=N}}var U=function(t,e,r,a){for(var o=0,s=0;s0)for(T=0;T<8;T++){var k=(T+1)%8;u.push(h[T],p[T],p[k],p[k],h[k],h[T]),f.push(m,y,y,y,m,m),d.push(v,g,g,g,v,v);var A=u.length;c.push([A-6,A-5,A-4],[A-3,A-2,A-1])}var M=h;h=p,p=M;var S=m;m=y,y=S;var E=v;v=g,g=E}return{positions:u,cells:c,vectors:f,vertexIntensity:d}}(t,r,a,o)})),f=[],h=[],p=[],d=[];for(s=0;s max(a, b)) || \n (p < min(a, b)));\n}\n\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\n return (outOfRange(a.x, b.x, p.x) ||\n outOfRange(a.y, b.y, p.y));\n}\n\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\n return (outOfRange(a.x, b.x, p.x) ||\n outOfRange(a.y, b.y, p.y) ||\n outOfRange(a.z, b.z, p.z));\n}\n\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\n return outOfRange(a.xyz, b.xyz, p.xyz);\n}\n\nuniform vec3 lowerBound, upperBound;\nuniform float contourTint;\nuniform vec4 contourColor;\nuniform sampler2D colormap;\nuniform vec3 clipBounds[2];\nuniform float roughness, fresnel, kambient, kdiffuse, kspecular, opacity;\nuniform float vertexColor;\n\nvarying float value, kill;\nvarying vec3 worldCoordinate;\nvarying vec3 lightDirection, eyeDirection, surfaceNormal;\nvarying vec4 vColor;\n\nvoid main() {\n if (\n kill > 0.0 ||\n vColor.a == 0.0 ||\n outOfRange(clipBounds[0], clipBounds[1], worldCoordinate)\n ) discard;\n\n vec3 N = normalize(surfaceNormal);\n vec3 V = normalize(eyeDirection);\n vec3 L = normalize(lightDirection);\n\n if(gl_FrontFacing) {\n N = -N;\n }\n\n float specular = max(beckmannSpecular(L, V, N, roughness), 0.);\n float diffuse = min(kambient + kdiffuse * max(dot(N, L), 0.0), 1.0);\n\n //decide how to interpolate color — in vertex or in fragment\n vec4 surfaceColor =\n step(vertexColor, .5) * texture2D(colormap, vec2(value, value)) +\n step(.5, vertexColor) * vColor;\n\n vec4 litColor = surfaceColor.a * vec4(diffuse * surfaceColor.rgb + kspecular * vec3(1,1,1) * specular, 1.0);\n\n gl_FragColor = mix(litColor, contourColor, contourTint) * opacity;\n}\n"]),s=i(["precision highp float;\n#define GLSLIFY 1\n\nattribute vec4 uv;\nattribute float f;\n\nuniform vec3 objectOffset;\nuniform mat3 permutation;\nuniform mat4 model, view, projection;\nuniform float height, zOffset;\nuniform sampler2D colormap;\n\nvarying float value, kill;\nvarying vec3 worldCoordinate;\nvarying vec2 planeCoordinate;\nvarying vec3 lightDirection, eyeDirection, surfaceNormal;\nvarying vec4 vColor;\n\nvoid main() {\n vec3 dataCoordinate = permutation * vec3(uv.xy, height);\n worldCoordinate = objectOffset + dataCoordinate;\n vec4 worldPosition = model * vec4(worldCoordinate, 1.0);\n\n vec4 clipPosition = projection * view * worldPosition;\n clipPosition.z += zOffset;\n\n gl_Position = clipPosition;\n value = f + objectOffset.z;\n kill = -1.0;\n planeCoordinate = uv.zw;\n\n vColor = texture2D(colormap, vec2(value, value));\n\n //Don't do lighting for contours\n surfaceNormal = vec3(1,0,0);\n eyeDirection = vec3(0,1,0);\n lightDirection = vec3(0,0,1);\n}\n"]),l=i(["precision highp float;\n#define GLSLIFY 1\n\nbool outOfRange(float a, float b, float p) {\n return ((p > max(a, b)) || \n (p < min(a, b)));\n}\n\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\n return (outOfRange(a.x, b.x, p.x) ||\n outOfRange(a.y, b.y, p.y));\n}\n\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\n return (outOfRange(a.x, b.x, p.x) ||\n outOfRange(a.y, b.y, p.y) ||\n outOfRange(a.z, b.z, p.z));\n}\n\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\n return outOfRange(a.xyz, b.xyz, p.xyz);\n}\n\nuniform vec2 shape;\nuniform vec3 clipBounds[2];\nuniform float pickId;\n\nvarying float value, kill;\nvarying vec3 worldCoordinate;\nvarying vec2 planeCoordinate;\nvarying vec3 surfaceNormal;\n\nvec2 splitFloat(float v) {\n float vh = 255.0 * v;\n float upper = floor(vh);\n float lower = fract(vh);\n return vec2(upper / 255.0, floor(lower * 16.0) / 16.0);\n}\n\nvoid main() {\n if ((kill > 0.0) ||\n (outOfRange(clipBounds[0], clipBounds[1], worldCoordinate))) discard;\n\n vec2 ux = splitFloat(planeCoordinate.x / shape.x);\n vec2 uy = splitFloat(planeCoordinate.y / shape.y);\n gl_FragColor = vec4(pickId, ux.x, uy.x, ux.y + (uy.y/16.0));\n}\n"]);e.createShader=function(t){var e=n(t,a,o,null,[{name:"uv",type:"vec4"},{name:"f",type:"vec3"},{name:"normal",type:"vec3"}]);return e.attributes.uv.location=0,e.attributes.f.location=1,e.attributes.normal.location=2,e},e.createPickShader=function(t){var e=n(t,a,l,null,[{name:"uv",type:"vec4"},{name:"f",type:"vec3"},{name:"normal",type:"vec3"}]);return e.attributes.uv.location=0,e.attributes.f.location=1,e.attributes.normal.location=2,e},e.createContourShader=function(t){var e=n(t,s,o,null,[{name:"uv",type:"vec4"},{name:"f",type:"float"}]);return e.attributes.uv.location=0,e.attributes.f.location=1,e},e.createPickContourShader=function(t){var e=n(t,s,l,null,[{name:"uv",type:"vec4"},{name:"f",type:"float"}]);return e.attributes.uv.location=0,e.attributes.f.location=1,e}},3754:function(t,e,r){"use strict";t.exports=function(t){var e=t.gl,r=m(e),n=b(e),s=x(e),l=_(e),u=i(e),c=a(e,[{buffer:u,size:4,stride:w,offset:0},{buffer:u,size:3,stride:w,offset:16},{buffer:u,size:3,stride:w,offset:28}]),f=i(e),h=a(e,[{buffer:f,size:4,stride:20,offset:0},{buffer:f,size:1,stride:20,offset:16}]),p=i(e),d=a(e,[{buffer:p,size:2,type:e.FLOAT}]),v=o(e,1,S,e.RGBA,e.UNSIGNED_BYTE);v.minFilter=e.LINEAR,v.magFilter=e.LINEAR;var g=new E(e,[0,0],[[0,0,0],[0,0,0]],r,n,u,c,v,s,l,f,h,p,d,[0,0,0]),y={levels:[[],[],[]]};for(var T in t)y[T]=t[T];return y.colormap=y.colormap||"jet",g.update(y),g};var n=r(2288),i=r(5827),a=r(2944),o=r(8931),s=r(5306),l=r(9156),u=r(7498),c=r(7382),f=r(5050),h=r(4162),p=r(104),d=r(7437),v=r(5070),g=r(9144),y=r(9054),m=y.createShader,x=y.createContourShader,b=y.createPickShader,_=y.createPickContourShader,w=40,T=[1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1],k=[[0,0],[0,1],[1,0],[1,1],[1,0],[0,1]],A=[[0,0,0,0,0,0,0,0,0],[0,0,0,0,0,0,0,0,0],[0,0,0,0,0,0,0,0,0]];function M(t,e,r,n,i){this.position=t,this.index=e,this.uv=r,this.level=n,this.dataCoordinate=i}!function(){for(var t=0;t<3;++t){var e=A[t],r=(t+2)%3;e[(t+1)%3+0]=1,e[r+3]=1,e[t+6]=1}}();var S=256;function E(t,e,r,n,i,a,o,l,u,c,h,p,d,v,g){this.gl=t,this.shape=e,this.bounds=r,this.objectOffset=g,this.intensityBounds=[],this._shader=n,this._pickShader=i,this._coordinateBuffer=a,this._vao=o,this._colorMap=l,this._contourShader=u,this._contourPickShader=c,this._contourBuffer=h,this._contourVAO=p,this._contourOffsets=[[],[],[]],this._contourCounts=[[],[],[]],this._vertexCount=0,this._pickResult=new M([0,0,0],[0,0],[0,0],[0,0,0],[0,0,0]),this._dynamicBuffer=d,this._dynamicVAO=v,this._dynamicOffsets=[0,0,0],this._dynamicCounts=[0,0,0],this.contourWidth=[1,1,1],this.contourLevels=[[1],[1],[1]],this.contourTint=[0,0,0],this.contourColor=[[.5,.5,.5,1],[.5,.5,.5,1],[.5,.5,.5,1]],this.showContour=!0,this.showSurface=!0,this.enableHighlight=[!0,!0,!0],this.highlightColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.highlightTint=[1,1,1],this.highlightLevel=[-1,-1,-1],this.enableDynamic=[!0,!0,!0],this.dynamicLevel=[NaN,NaN,NaN],this.dynamicColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.dynamicTint=[1,1,1],this.dynamicWidth=[1,1,1],this.axesBounds=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]],this.surfaceProject=[!1,!1,!1],this.contourProject=[[!1,!1,!1],[!1,!1,!1],[!1,!1,!1]],this.colorBounds=[!1,!1],this._field=[f(s.mallocFloat(1024),[0,0]),f(s.mallocFloat(1024),[0,0]),f(s.mallocFloat(1024),[0,0])],this.pickId=1,this.clipBounds=[[-1/0,-1/0,-1/0],[1/0,1/0,1/0]],this.snapToData=!1,this.pixelRatio=1,this.opacity=1,this.lightPosition=[10,1e4,0],this.ambientLight=.8,this.diffuseLight=.8,this.specularLight=2,this.roughness=.5,this.fresnel=1.5,this.vertexColor=0,this.dirty=!0}var L=E.prototype;L.genColormap=function(t,e){var r=!1,n=c([l({colormap:t,nshades:S,format:"rgba"}).map((function(t,n){var i=e?function(t,e){if(!e)return 1;if(!e.length)return 1;for(var r=0;rt&&r>0){var n=(e[r][0]-t)/(e[r][0]-e[r-1][0]);return e[r][1]*(1-n)+n*e[r-1][1]}}return 1}(n/255,e):t[3];return i<1&&(r=!0),[t[0],t[1],t[2],255*i]}))]);return u.divseq(n,255),this.hasAlphaScale=r,n},L.isTransparent=function(){return this.opacity<1||this.hasAlphaScale},L.isOpaque=function(){return!this.isTransparent()},L.pickSlots=1,L.setPickBase=function(t){this.pickId=t};var C=[0,0,0],P={showSurface:!1,showContour:!1,projections:[T.slice(),T.slice(),T.slice()],clipBounds:[[[0,0,0],[0,0,0]],[[0,0,0],[0,0,0]],[[0,0,0],[0,0,0]]]};function O(t,e){var r,n,i,a=e.axes&&e.axes.lastCubeProps.axis||C,o=e.showSurface,s=e.showContour;for(r=0;r<3;++r)for(o=o||e.surfaceProject[r],n=0;n<3;++n)s=s||e.contourProject[r][n];for(r=0;r<3;++r){var l=P.projections[r];for(n=0;n<16;++n)l[n]=0;for(n=0;n<4;++n)l[5*n]=1;l[5*r]=0,l[12+r]=e.axesBounds[+(a[r]>0)][r],p(l,t.model,l);var u=P.clipBounds[r];for(i=0;i<2;++i)for(n=0;n<3;++n)u[i][n]=t.clipBounds[i][n];u[0][r]=-1e8,u[1][r]=1e8}return P.showSurface=o,P.showContour=s,P}var I={model:T,view:T,projection:T,inverseModel:T.slice(),lowerBound:[0,0,0],upperBound:[0,0,0],colorMap:0,clipBounds:[[0,0,0],[0,0,0]],height:0,contourTint:0,contourColor:[0,0,0,1],permutation:[1,0,0,0,1,0,0,0,1],zOffset:-1e-4,objectOffset:[0,0,0],kambient:1,kdiffuse:1,kspecular:1,lightPosition:[1e3,1e3,1e3],eyePosition:[0,0,0],roughness:1,fresnel:1,opacity:1,vertexColor:0},D=T.slice(),z=[1,0,0,0,1,0,0,0,1];function R(t,e){t=t||{};var r=this.gl;r.disable(r.CULL_FACE),this._colorMap.bind(0);var n=I;n.model=t.model||T,n.view=t.view||T,n.projection=t.projection||T,n.lowerBound=[this.bounds[0][0],this.bounds[0][1],this.colorBounds[0]||this.bounds[0][2]],n.upperBound=[this.bounds[1][0],this.bounds[1][1],this.colorBounds[1]||this.bounds[1][2]],n.objectOffset=this.objectOffset,n.contourColor=this.contourColor[0],n.inverseModel=d(n.inverseModel,n.model);for(var i=0;i<2;++i)for(var a=n.clipBounds[i],o=0;o<3;++o)a[o]=Math.min(Math.max(this.clipBounds[i][o],-1e8),1e8);n.kambient=this.ambientLight,n.kdiffuse=this.diffuseLight,n.kspecular=this.specularLight,n.roughness=this.roughness,n.fresnel=this.fresnel,n.opacity=this.opacity,n.height=0,n.permutation=z,n.vertexColor=this.vertexColor;var s=D;for(p(s,n.view,n.model),p(s,n.projection,s),d(s,s),i=0;i<3;++i)n.eyePosition[i]=s[12+i]/s[15];var l=s[15];for(i=0;i<3;++i)l+=this.lightPosition[i]*s[4*i+3];for(i=0;i<3;++i){var u=s[12+i];for(o=0;o<3;++o)u+=s[4*o+i]*this.lightPosition[o];n.lightPosition[i]=u/l}var c=O(n,this);if(c.showSurface){for(this._shader.bind(),this._shader.uniforms=n,this._vao.bind(),this.showSurface&&this._vertexCount&&this._vao.draw(r.TRIANGLES,this._vertexCount),i=0;i<3;++i)this.surfaceProject[i]&&this.vertexCount&&(this._shader.uniforms.model=c.projections[i],this._shader.uniforms.clipBounds=c.clipBounds[i],this._vao.draw(r.TRIANGLES,this._vertexCount));this._vao.unbind()}if(c.showContour){var f=this._contourShader;n.kambient=1,n.kdiffuse=0,n.kspecular=0,n.opacity=1,f.bind(),f.uniforms=n;var h=this._contourVAO;for(h.bind(),i=0;i<3;++i)for(f.uniforms.permutation=A[i],r.lineWidth(this.contourWidth[i]*this.pixelRatio),o=0;o>4)/16)/255,i=Math.floor(n),a=n-i,o=e[1]*(t.value[1]+(15&t.value[2])/16)/255,s=Math.floor(o),l=o-s;i+=1,s+=1;var u=r.position;u[0]=u[1]=u[2]=0;for(var c=0;c<2;++c)for(var f=c?a:1-a,h=0;h<2;++h)for(var p=i+c,d=s+h,g=f*(h?l:1-l),y=0;y<3;++y)u[y]+=this._field[y].get(p,d)*g;for(var m=this._pickResult.level,x=0;x<3;++x)if(m[x]=v.le(this.contourLevels[x],u[x]),m[x]<0)this.contourLevels[x].length>0&&(m[x]=0);else if(m[x]Math.abs(_-u[x])&&(m[x]+=1)}for(r.index[0]=a<.5?i:i+1,r.index[1]=l<.5?s:s+1,r.uv[0]=n/e[0],r.uv[1]=o/e[1],y=0;y<3;++y)r.dataCoordinate[y]=this._field[y].get(r.index[0],r.index[1]);return r},L.padField=function(t,e){var r=e.shape.slice(),n=t.shape.slice();u.assign(t.lo(1,1).hi(r[0],r[1]),e),u.assign(t.lo(1).hi(r[0],1),e.hi(r[0],1)),u.assign(t.lo(1,n[1]-1).hi(r[0],1),e.lo(0,r[1]-1).hi(r[0],1)),u.assign(t.lo(0,1).hi(1,r[1]),e.hi(1)),u.assign(t.lo(n[0]-1,1).hi(1,r[1]),e.lo(r[0]-1)),t.set(0,0,e.get(0,0)),t.set(0,n[1]-1,e.get(0,r[1]-1)),t.set(n[0]-1,0,e.get(r[0]-1,0)),t.set(n[0]-1,n[1]-1,e.get(r[0]-1,r[1]-1))},L.update=function(t){t=t||{},this.objectOffset=t.objectOffset||this.objectOffset,this.dirty=!0,"contourWidth"in t&&(this.contourWidth=B(t.contourWidth,Number)),"showContour"in t&&(this.showContour=B(t.showContour,Boolean)),"showSurface"in t&&(this.showSurface=!!t.showSurface),"contourTint"in t&&(this.contourTint=B(t.contourTint,Boolean)),"contourColor"in t&&(this.contourColor=j(t.contourColor)),"contourProject"in t&&(this.contourProject=B(t.contourProject,(function(t){return B(t,Boolean)}))),"surfaceProject"in t&&(this.surfaceProject=t.surfaceProject),"dynamicColor"in t&&(this.dynamicColor=j(t.dynamicColor)),"dynamicTint"in t&&(this.dynamicTint=B(t.dynamicTint,Number)),"dynamicWidth"in t&&(this.dynamicWidth=B(t.dynamicWidth,Number)),"opacity"in t&&(this.opacity=t.opacity),"opacityscale"in t&&(this.opacityscale=t.opacityscale),"colorBounds"in t&&(this.colorBounds=t.colorBounds),"vertexColor"in t&&(this.vertexColor=t.vertexColor?1:0),"colormap"in t&&this._colorMap.setPixels(this.genColormap(t.colormap,this.opacityscale));var e=t.field||t.coords&&t.coords[2]||null,r=!1;if(e||(e=this._field[2].shape[0]||this._field[2].shape[2]?this._field[2].lo(1,1).hi(this._field[2].shape[0]-2,this._field[2].shape[1]-2):this._field[2].hi(0,0)),"field"in t||"coords"in t){var i=(e.shape[0]+2)*(e.shape[1]+2);i>this._field[2].data.length&&(s.freeFloat(this._field[2].data),this._field[2].data=s.mallocFloat(n.nextPow2(i))),this._field[2]=f(this._field[2].data,[e.shape[0]+2,e.shape[1]+2]),this.padField(this._field[2],e),this.shape=e.shape.slice();for(var a=this.shape,o=0;o<2;++o)this._field[2].size>this._field[o].data.length&&(s.freeFloat(this._field[o].data),this._field[o].data=s.mallocFloat(this._field[2].size)),this._field[o]=f(this._field[o].data,[a[0]+2,a[1]+2]);if(t.coords){var l=t.coords;if(!Array.isArray(l)||3!==l.length)throw new Error("gl-surface: invalid coordinates for x/y");for(o=0;o<2;++o){var u=l[o];for(y=0;y<2;++y)if(u.shape[y]!==a[y])throw new Error("gl-surface: coords have incorrect shape");this.padField(this._field[o],u)}}else if(t.ticks){var c=t.ticks;if(!Array.isArray(c)||2!==c.length)throw new Error("gl-surface: invalid ticks");for(o=0;o<2;++o){var p=c[o];if((Array.isArray(p)||p.length)&&(p=f(p)),p.shape[0]!==a[o])throw new Error("gl-surface: invalid tick length");var d=f(p.data,a);d.stride[o]=p.stride[0],d.stride[1^o]=0,this.padField(this._field[o],d)}}else{for(o=0;o<2;++o){var v=[0,0];v[o]=1,this._field[o]=f(this._field[o].data,[a[0]+2,a[1]+2],v,0)}this._field[0].set(0,0,0);for(var y=0;y0){for(var xt=0;xt<5;++xt)$.pop();U-=1}continue t}$.push(nt[0],nt[1],ot[0],ot[1],nt[2]),U+=1}}rt.push(U)}this._contourOffsets[Q]=et,this._contourCounts[Q]=rt}var bt=s.mallocFloat($.length);for(o=0;o<$.length;++o)bt[o]=$[o];this._contourBuffer.update(bt),s.freeFloat(bt)}},L.dispose=function(){this._shader.dispose(),this._vao.dispose(),this._coordinateBuffer.dispose(),this._colorMap.dispose(),this._contourBuffer.dispose(),this._contourVAO.dispose(),this._contourShader.dispose(),this._contourPickShader.dispose(),this._dynamicBuffer.dispose(),this._dynamicVAO.dispose();for(var t=0;t<3;++t)s.freeFloat(this._field[t].data)},L.highlight=function(t){var e,r;if(!t)return this._dynamicCounts=[0,0,0],this.dyanamicLevel=[NaN,NaN,NaN],void(this.highlightLevel=[-1,-1,-1]);for(e=0;e<3;++e)this.enableHighlight[e]?this.highlightLevel[e]=t.level[e]:this.highlightLevel[e]=-1;for(r=this.snapToData?t.dataCoordinate:t.position,e=0;e<3;++e)r[e]-=this.objectOffset[e];if(this.enableDynamic[0]&&r[0]!==this.dynamicLevel[0]||this.enableDynamic[1]&&r[1]!==this.dynamicLevel[1]||this.enableDynamic[2]&&r[2]!==this.dynamicLevel[2]){for(var n=0,i=this.shape,a=s.mallocFloat(12*i[0]*i[1]),o=0;o<3;++o)if(this.enableDynamic[o]){this.dynamicLevel[o]=r[o];var l=(o+1)%3,u=(o+2)%3,c=this._field[o],f=this._field[l],p=this._field[u],d=h(c,r[o]),v=d.cells,g=d.positions;for(this._dynamicOffsets[o]=n,e=0;es||o[1]<0||o[1]>s)throw new Error("gl-texture2d: Invalid texture size");var l=d(o,e.stride.slice()),u=0;"float32"===r?u=t.FLOAT:"float64"===r?(u=t.FLOAT,l=!1,r="float32"):"uint8"===r?u=t.UNSIGNED_BYTE:(u=t.UNSIGNED_BYTE,l=!1,r="uint8");var f,p,g=0;if(2===o.length)g=t.LUMINANCE,o=[o[0],o[1],1],e=n(e.data,o,[e.stride[0],e.stride[1],1],e.offset);else{if(3!==o.length)throw new Error("gl-texture2d: Invalid shape for texture");if(1===o[2])g=t.ALPHA;else if(2===o[2])g=t.LUMINANCE_ALPHA;else if(3===o[2])g=t.RGB;else{if(4!==o[2])throw new Error("gl-texture2d: Invalid shape for pixel coords");g=t.RGBA}}u!==t.FLOAT||t.getExtension("OES_texture_float")||(u=t.UNSIGNED_BYTE,l=!1);var y=e.size;if(l)f=0===e.offset&&e.data.length===y?e.data:e.data.subarray(e.offset,e.offset+y);else{var m=[o[2],o[2]*o[0],1];p=a.malloc(y,r);var x=n(p,o,m,0);"float32"!==r&&"float64"!==r||u!==t.UNSIGNED_BYTE?i.assign(x,e):c(x,e),f=p.subarray(0,y)}var b=v(t);return t.texImage2D(t.TEXTURE_2D,0,g,o[0],o[1],0,g,u,f),l||a.free(p),new h(t,b,o[0],o[1],g,u)}(t,e)}throw new Error("gl-texture2d: Invalid arguments for texture2d constructor")};var o=null,s=null,l=null;function u(t){return"undefined"!=typeof HTMLCanvasElement&&t instanceof HTMLCanvasElement||"undefined"!=typeof HTMLImageElement&&t instanceof HTMLImageElement||"undefined"!=typeof HTMLVideoElement&&t instanceof HTMLVideoElement||"undefined"!=typeof ImageData&&t instanceof ImageData}var c=function(t,e){i.muls(t,e,255)};function f(t,e,r){var n=t.gl,i=n.getParameter(n.MAX_TEXTURE_SIZE);if(e<0||e>i||r<0||r>i)throw new Error("gl-texture2d: Invalid texture size");return t._shape=[e,r],t.bind(),n.texImage2D(n.TEXTURE_2D,0,t.format,e,r,0,t.format,t.type,null),t._mipLevels=[0],t}function h(t,e,r,n,i,a){this.gl=t,this.handle=e,this.format=i,this.type=a,this._shape=[r,n],this._mipLevels=[0],this._magFilter=t.NEAREST,this._minFilter=t.NEAREST,this._wrapS=t.CLAMP_TO_EDGE,this._wrapT=t.CLAMP_TO_EDGE,this._anisoSamples=1;var o=this,s=[this._wrapS,this._wrapT];Object.defineProperties(s,[{get:function(){return o._wrapS},set:function(t){return o.wrapS=t}},{get:function(){return o._wrapT},set:function(t){return o.wrapT=t}}]),this._wrapVector=s;var l=[this._shape[0],this._shape[1]];Object.defineProperties(l,[{get:function(){return o._shape[0]},set:function(t){return o.width=t}},{get:function(){return o._shape[1]},set:function(t){return o.height=t}}]),this._shapeVector=l}var p=h.prototype;function d(t,e){return 3===t.length?1===e[2]&&e[1]===t[0]*t[2]&&e[0]===t[2]:1===e[0]&&e[1]===t[0]}function v(t){var e=t.createTexture();return t.bindTexture(t.TEXTURE_2D,e),t.texParameteri(t.TEXTURE_2D,t.TEXTURE_MIN_FILTER,t.NEAREST),t.texParameteri(t.TEXTURE_2D,t.TEXTURE_MAG_FILTER,t.NEAREST),t.texParameteri(t.TEXTURE_2D,t.TEXTURE_WRAP_S,t.CLAMP_TO_EDGE),t.texParameteri(t.TEXTURE_2D,t.TEXTURE_WRAP_T,t.CLAMP_TO_EDGE),e}function g(t,e,r,n,i){var a=t.getParameter(t.MAX_TEXTURE_SIZE);if(e<0||e>a||r<0||r>a)throw new Error("gl-texture2d: Invalid texture shape");if(i===t.FLOAT&&!t.getExtension("OES_texture_float"))throw new Error("gl-texture2d: Floating point textures not supported on this platform");var o=v(t);return t.texImage2D(t.TEXTURE_2D,0,n,e,r,0,n,i,null),new h(t,o,e,r,n,i)}Object.defineProperties(p,{minFilter:{get:function(){return this._minFilter},set:function(t){this.bind();var e=this.gl;if(this.type===e.FLOAT&&o.indexOf(t)>=0&&(e.getExtension("OES_texture_float_linear")||(t=e.NEAREST)),s.indexOf(t)<0)throw new Error("gl-texture2d: Unknown filter mode "+t);return e.texParameteri(e.TEXTURE_2D,e.TEXTURE_MIN_FILTER,t),this._minFilter=t}},magFilter:{get:function(){return this._magFilter},set:function(t){this.bind();var e=this.gl;if(this.type===e.FLOAT&&o.indexOf(t)>=0&&(e.getExtension("OES_texture_float_linear")||(t=e.NEAREST)),s.indexOf(t)<0)throw new Error("gl-texture2d: Unknown filter mode "+t);return e.texParameteri(e.TEXTURE_2D,e.TEXTURE_MAG_FILTER,t),this._magFilter=t}},mipSamples:{get:function(){return this._anisoSamples},set:function(t){var e=this._anisoSamples;if(this._anisoSamples=0|Math.max(t,1),e!==this._anisoSamples){var r=this.gl.getExtension("EXT_texture_filter_anisotropic");r&&this.gl.texParameterf(this.gl.TEXTURE_2D,r.TEXTURE_MAX_ANISOTROPY_EXT,this._anisoSamples)}return this._anisoSamples}},wrapS:{get:function(){return this._wrapS},set:function(t){if(this.bind(),l.indexOf(t)<0)throw new Error("gl-texture2d: Unknown wrap mode "+t);return this.gl.texParameteri(this.gl.TEXTURE_2D,this.gl.TEXTURE_WRAP_S,t),this._wrapS=t}},wrapT:{get:function(){return this._wrapT},set:function(t){if(this.bind(),l.indexOf(t)<0)throw new Error("gl-texture2d: Unknown wrap mode "+t);return this.gl.texParameteri(this.gl.TEXTURE_2D,this.gl.TEXTURE_WRAP_T,t),this._wrapT=t}},wrap:{get:function(){return this._wrapVector},set:function(t){if(Array.isArray(t)||(t=[t,t]),2!==t.length)throw new Error("gl-texture2d: Must specify wrap mode for rows and columns");for(var e=0;e<2;++e)if(l.indexOf(t[e])<0)throw new Error("gl-texture2d: Unknown wrap mode "+t);this._wrapS=t[0],this._wrapT=t[1];var r=this.gl;return this.bind(),r.texParameteri(r.TEXTURE_2D,r.TEXTURE_WRAP_S,this._wrapS),r.texParameteri(r.TEXTURE_2D,r.TEXTURE_WRAP_T,this._wrapT),t}},shape:{get:function(){return this._shapeVector},set:function(t){if(Array.isArray(t)){if(2!==t.length)throw new Error("gl-texture2d: Invalid texture shape")}else t=[0|t,0|t];return f(this,0|t[0],0|t[1]),[0|t[0],0|t[1]]}},width:{get:function(){return this._shape[0]},set:function(t){return f(this,t|=0,this._shape[1]),t}},height:{get:function(){return this._shape[1]},set:function(t){return t|=0,f(this,this._shape[0],t),t}}}),p.bind=function(t){var e=this.gl;return void 0!==t&&e.activeTexture(e.TEXTURE0+(0|t)),e.bindTexture(e.TEXTURE_2D,this.handle),void 0!==t?0|t:e.getParameter(e.ACTIVE_TEXTURE)-e.TEXTURE0},p.dispose=function(){this.gl.deleteTexture(this.handle)},p.generateMipmap=function(){this.bind(),this.gl.generateMipmap(this.gl.TEXTURE_2D);for(var t=Math.min(this._shape[0],this._shape[1]),e=0;t>0;++e,t>>>=1)this._mipLevels.indexOf(e)<0&&this._mipLevels.push(e)},p.setPixels=function(t,e,r,o){var s=this.gl;this.bind(),Array.isArray(e)?(o=r,r=0|e[1],e=0|e[0]):(e=e||0,r=r||0),o=o||0;var l=u(t)?t:t.raw;if(l)this._mipLevels.indexOf(o)<0?(s.texImage2D(s.TEXTURE_2D,0,this.format,this.format,this.type,l),this._mipLevels.push(o)):s.texSubImage2D(s.TEXTURE_2D,o,e,r,this.format,this.type,l);else{if(!(t.shape&&t.stride&&t.data))throw new Error("gl-texture2d: Unsupported data type");if(t.shape.length<2||e+t.shape[1]>this._shape[1]>>>o||r+t.shape[0]>this._shape[0]>>>o||e<0||r<0)throw new Error("gl-texture2d: Texture dimensions are out of bounds");!function(t,e,r,o,s,l,u,f){var h=f.dtype,p=f.shape.slice();if(p.length<2||p.length>3)throw new Error("gl-texture2d: Invalid ndarray, must be 2d or 3d");var v=0,g=0,y=d(p,f.stride.slice());if("float32"===h?v=t.FLOAT:"float64"===h?(v=t.FLOAT,y=!1,h="float32"):"uint8"===h?v=t.UNSIGNED_BYTE:(v=t.UNSIGNED_BYTE,y=!1,h="uint8"),2===p.length)g=t.LUMINANCE,p=[p[0],p[1],1],f=n(f.data,p,[f.stride[0],f.stride[1],1],f.offset);else{if(3!==p.length)throw new Error("gl-texture2d: Invalid shape for texture");if(1===p[2])g=t.ALPHA;else 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L=_*r[a]+w*h[a]+T*e[a];E[4*a+1]=k*r[a]+A*h[a]+M*e[a],E[4*a+2]=L,E[4*a+3]=0}var C=E[1],P=E[5],O=E[9],I=E[2],D=E[6],z=E[10],R=P*z-O*D,F=O*I-C*z,B=C*D-P*I,N=u(R,F,B);for(R/=N,F/=N,B/=N,E[0]=R,E[4]=F,E[8]=B,a=0;a<3;++a)S[a]=b[a]+E[2+4*a]*p;for(a=0;a<3;++a){c=0;for(var j=0;j<3;++j)c+=E[a+4*j]*S[j];E[12+a]=-c}E[15]=1},p.getMatrix=function(t,e){this.recalcMatrix(t);var r=this.computedMatrix;if(e){for(var n=0;n<16;++n)e[n]=r[n];return e}return r};var d=[0,0,0];p.rotate=function(t,e,r,n){if(this.angle.move(t,e,r),n){this.recalcMatrix(t);var i=this.computedMatrix;d[0]=i[2],d[1]=i[6],d[2]=i[10];for(var o=this.computedUp,s=this.computedRight,l=this.computedToward,u=0;u<3;++u)i[4*u]=o[u],i[4*u+1]=s[u],i[4*u+2]=l[u];for(a(i,i,n,d),u=0;u<3;++u)o[u]=i[4*u],s[u]=i[4*u+1];this.up.set(t,o[0],o[1],o[2]),this.right.set(t,s[0],s[1],s[2])}},p.pan=function(t,e,r,n){e=e||0,r=r||0,n=n||0,this.recalcMatrix(t);var 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this.uint16[f+0]=e,this.uint16[f+1]=r,this.uint16[f+2]=n,this.uint16[f+3]=i,this.uint16[f+4]=a,this.uint16[f+5]=o,this.uint16[f+6]=s,this.uint16[f+7]=l,this.uint16[f+8]=u,this.uint16[f+9]=c,t},e}(Qi);sa.prototype.bytesPerElement=20,oi("StructArrayLayout10ui20",sa);var la=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.int16=new Int16Array(this.arrayBuffer),this.uint16=new Uint16Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r,n,i,a,o,s,l,u,c,f){var h=this.length;return this.resize(h+1),this.emplace(h,t,e,r,n,i,a,o,s,l,u,c,f)},e.prototype.emplace=function(t,e,r,n,i,a,o,s,l,u,c,f,h){var p=12*t;return this.int16[p+0]=e,this.int16[p+1]=r,this.int16[p+2]=n,this.int16[p+3]=i,this.uint16[p+4]=a,this.uint16[p+5]=o,this.uint16[p+6]=s,this.uint16[p+7]=l,this.int16[p+8]=u,this.int16[p+9]=c,this.int16[p+10]=f,this.int16[p+11]=h,t},e}(Qi);la.prototype.bytesPerElement=24,oi("StructArrayLayout4i4ui4i24",la);var ua=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.float32=new Float32Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r){var n=this.length;return this.resize(n+1),this.emplace(n,t,e,r)},e.prototype.emplace=function(t,e,r,n){var i=3*t;return this.float32[i+0]=e,this.float32[i+1]=r,this.float32[i+2]=n,t},e}(Qi);ua.prototype.bytesPerElement=12,oi("StructArrayLayout3f12",ua);var ca=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.uint32=new Uint32Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t){var e=this.length;return this.resize(e+1),this.emplace(e,t)},e.prototype.emplace=function(t,e){var r=1*t;return this.uint32[r+0]=e,t},e}(Qi);ca.prototype.bytesPerElement=4,oi("StructArrayLayout1ul4",ca);var fa=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.int16=new Int16Array(this.arrayBuffer),this.uint32=new Uint32Array(this.arrayBuffer),this.uint16=new Uint16Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r,n,i,a,o,s,l){var u=this.length;return this.resize(u+1),this.emplace(u,t,e,r,n,i,a,o,s,l)},e.prototype.emplace=function(t,e,r,n,i,a,o,s,l,u){var c=10*t,f=5*t;return this.int16[c+0]=e,this.int16[c+1]=r,this.int16[c+2]=n,this.int16[c+3]=i,this.int16[c+4]=a,this.int16[c+5]=o,this.uint32[f+3]=s,this.uint16[c+8]=l,this.uint16[c+9]=u,t},e}(Qi);fa.prototype.bytesPerElement=20,oi("StructArrayLayout6i1ul2ui20",fa);var ha=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.int16=new Int16Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r,n,i,a){var o=this.length;return this.resize(o+1),this.emplace(o,t,e,r,n,i,a)},e.prototype.emplace=function(t,e,r,n,i,a,o){var s=6*t;return this.int16[s+0]=e,this.int16[s+1]=r,this.int16[s+2]=n,this.int16[s+3]=i,this.int16[s+4]=a,this.int16[s+5]=o,t},e}(Qi);ha.prototype.bytesPerElement=12,oi("StructArrayLayout2i2i2i12",ha);var pa=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.float32=new Float32Array(this.arrayBuffer),this.int16=new Int16Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r,n,i){var a=this.length;return this.resize(a+1),this.emplace(a,t,e,r,n,i)},e.prototype.emplace=function(t,e,r,n,i,a){var o=4*t,s=8*t;return this.float32[o+0]=e,this.float32[o+1]=r,this.float32[o+2]=n,this.int16[s+6]=i,this.int16[s+7]=a,t},e}(Qi);pa.prototype.bytesPerElement=16,oi("StructArrayLayout2f1f2i16",pa);var da=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.float32=new Float32Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r,n){var i=this.length;return this.resize(i+1),this.emplace(i,t,e,r,n)},e.prototype.emplace=function(t,e,r,n,i){var a=12*t,o=3*t;return this.uint8[a+0]=e,this.uint8[a+1]=r,this.float32[o+1]=n,this.float32[o+2]=i,t},e}(Qi);da.prototype.bytesPerElement=12,oi("StructArrayLayout2ub2f12",da);var va=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.uint16=new Uint16Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r){var n=this.length;return this.resize(n+1),this.emplace(n,t,e,r)},e.prototype.emplace=function(t,e,r,n){var i=3*t;return this.uint16[i+0]=e,this.uint16[i+1]=r,this.uint16[i+2]=n,t},e}(Qi);va.prototype.bytesPerElement=6,oi("StructArrayLayout3ui6",va);var ga=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.int16=new Int16Array(this.arrayBuffer),this.uint16=new Uint16Array(this.arrayBuffer),this.uint32=new Uint32Array(this.arrayBuffer),this.float32=new Float32Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r,n,i,a,o,s,l,u,c,f,h,p,d,v,g){var y=this.length;return this.resize(y+1),this.emplace(y,t,e,r,n,i,a,o,s,l,u,c,f,h,p,d,v,g)},e.prototype.emplace=function(t,e,r,n,i,a,o,s,l,u,c,f,h,p,d,v,g,y){var m=24*t,x=12*t,b=48*t;return this.int16[m+0]=e,this.int16[m+1]=r,this.uint16[m+2]=n,this.uint16[m+3]=i,this.uint32[x+2]=a,this.uint32[x+3]=o,this.uint32[x+4]=s,this.uint16[m+10]=l,this.uint16[m+11]=u,this.uint16[m+12]=c,this.float32[x+7]=f,this.float32[x+8]=h,this.uint8[b+36]=p,this.uint8[b+37]=d,this.uint8[b+38]=v,this.uint32[x+10]=g,this.int16[m+22]=y,t},e}(Qi);ga.prototype.bytesPerElement=48,oi("StructArrayLayout2i2ui3ul3ui2f3ub1ul1i48",ga);var ya=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.int16=new Int16Array(this.arrayBuffer),this.uint16=new Uint16Array(this.arrayBuffer),this.uint32=new Uint32Array(this.arrayBuffer),this.float32=new Float32Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r,n,i,a,o,s,l,u,c,f,h,p,d,v,g,y,m,x,b,_,w,T,k,A,M,S){var E=this.length;return this.resize(E+1),this.emplace(E,t,e,r,n,i,a,o,s,l,u,c,f,h,p,d,v,g,y,m,x,b,_,w,T,k,A,M,S)},e.prototype.emplace=function(t,e,r,n,i,a,o,s,l,u,c,f,h,p,d,v,g,y,m,x,b,_,w,T,k,A,M,S,E){var L=34*t,C=17*t;return this.int16[L+0]=e,this.int16[L+1]=r,this.int16[L+2]=n,this.int16[L+3]=i,this.int16[L+4]=a,this.int16[L+5]=o,this.int16[L+6]=s,this.int16[L+7]=l,this.uint16[L+8]=u,this.uint16[L+9]=c,this.uint16[L+10]=f,this.uint16[L+11]=h,this.uint16[L+12]=p,this.uint16[L+13]=d,this.uint16[L+14]=v,this.uint16[L+15]=g,this.uint16[L+16]=y,this.uint16[L+17]=m,this.uint16[L+18]=x,this.uint16[L+19]=b,this.uint16[L+20]=_,this.uint16[L+21]=w,this.uint16[L+22]=T,this.uint32[C+12]=k,this.float32[C+13]=A,this.float32[C+14]=M,this.float32[C+15]=S,this.float32[C+16]=E,t},e}(Qi);ya.prototype.bytesPerElement=68,oi("StructArrayLayout8i15ui1ul4f68",ya);var ma=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.float32=new Float32Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t){var e=this.length;return this.resize(e+1),this.emplace(e,t)},e.prototype.emplace=function(t,e){var r=1*t;return this.float32[r+0]=e,t},e}(Qi);ma.prototype.bytesPerElement=4,oi("StructArrayLayout1f4",ma);var xa=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.int16=new Int16Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r){var n=this.length;return this.resize(n+1),this.emplace(n,t,e,r)},e.prototype.emplace=function(t,e,r,n){var i=3*t;return this.int16[i+0]=e,this.int16[i+1]=r,this.int16[i+2]=n,t},e}(Qi);xa.prototype.bytesPerElement=6,oi("StructArrayLayout3i6",xa);var ba=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.uint32=new Uint32Array(this.arrayBuffer),this.uint16=new Uint16Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r){var n=this.length;return this.resize(n+1),this.emplace(n,t,e,r)},e.prototype.emplace=function(t,e,r,n){var i=2*t,a=4*t;return this.uint32[i+0]=e,this.uint16[a+2]=r,this.uint16[a+3]=n,t},e}(Qi);ba.prototype.bytesPerElement=8,oi("StructArrayLayout1ul2ui8",ba);var _a=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.uint16=new Uint16Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e){var r=this.length;return this.resize(r+1),this.emplace(r,t,e)},e.prototype.emplace=function(t,e,r){var n=2*t;return this.uint16[n+0]=e,this.uint16[n+1]=r,t},e}(Qi);_a.prototype.bytesPerElement=4,oi("StructArrayLayout2ui4",_a);var wa=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.uint16=new Uint16Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t){var e=this.length;return this.resize(e+1),this.emplace(e,t)},e.prototype.emplace=function(t,e){var r=1*t;return this.uint16[r+0]=e,t},e}(Qi);wa.prototype.bytesPerElement=2,oi("StructArrayLayout1ui2",wa);var Ta=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.float32=new Float32Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r,n){var i=this.length;return this.resize(i+1),this.emplace(i,t,e,r,n)},e.prototype.emplace=function(t,e,r,n,i){var a=4*t;return this.float32[a+0]=e,this.float32[a+1]=r,this.float32[a+2]=n,this.float32[a+3]=i,t},e}(Qi);Ta.prototype.bytesPerElement=16,oi("StructArrayLayout4f16",Ta);var ka=function(t){function e(){t.apply(this,arguments)}t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e;var r={anchorPointX:{configurable:!0},anchorPointY:{configurable:!0},x1:{configurable:!0},y1:{configurable:!0},x2:{configurable:!0},y2:{configurable:!0},featureIndex:{configurable:!0},sourceLayerIndex:{configurable:!0},bucketIndex:{configurable:!0},anchorPoint:{configurable:!0}};return r.anchorPointX.get=function(){return this._structArray.int16[this._pos2+0]},r.anchorPointY.get=function(){return this._structArray.int16[this._pos2+1]},r.x1.get=function(){return this._structArray.int16[this._pos2+2]},r.y1.get=function(){return this._structArray.int16[this._pos2+3]},r.x2.get=function(){return this._structArray.int16[this._pos2+4]},r.y2.get=function(){return this._structArray.int16[this._pos2+5]},r.featureIndex.get=function(){return this._structArray.uint32[this._pos4+3]},r.sourceLayerIndex.get=function(){return this._structArray.uint16[this._pos2+8]},r.bucketIndex.get=function(){return this._structArray.uint16[this._pos2+9]},r.anchorPoint.get=function(){return new a(this.anchorPointX,this.anchorPointY)},Object.defineProperties(e.prototype,r),e}($i);ka.prototype.size=20;var Aa=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.get=function(t){return new ka(this,t)},e}(fa);oi("CollisionBoxArray",Aa);var Ma=function(t){function e(){t.apply(this,arguments)}t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e;var r={anchorX:{configurable:!0},anchorY:{configurable:!0},glyphStartIndex:{configurable:!0},numGlyphs:{configurable:!0},vertexStartIndex:{configurable:!0},lineStartIndex:{configurable:!0},lineLength:{configurable:!0},segment:{configurable:!0},lowerSize:{configurable:!0},upperSize:{configurable:!0},lineOffsetX:{configurable:!0},lineOffsetY:{configurable:!0},writingMode:{configurable:!0},placedOrientation:{configurable:!0},hidden:{configurable:!0},crossTileID:{configurable:!0},associatedIconIndex:{configurable:!0}};return r.anchorX.get=function(){return this._structArray.int16[this._pos2+0]},r.anchorY.get=function(){return this._structArray.int16[this._pos2+1]},r.glyphStartIndex.get=function(){return this._structArray.uint16[this._pos2+2]},r.numGlyphs.get=function(){return this._structArray.uint16[this._pos2+3]},r.vertexStartIndex.get=function(){return this._structArray.uint32[this._pos4+2]},r.lineStartIndex.get=function(){return this._structArray.uint32[this._pos4+3]},r.lineLength.get=function(){return this._structArray.uint32[this._pos4+4]},r.segment.get=function(){return this._structArray.uint16[this._pos2+10]},r.lowerSize.get=function(){return this._structArray.uint16[this._pos2+11]},r.upperSize.get=function(){return this._structArray.uint16[this._pos2+12]},r.lineOffsetX.get=function(){return this._structArray.float32[this._pos4+7]},r.lineOffsetY.get=function(){return this._structArray.float32[this._pos4+8]},r.writingMode.get=function(){return this._structArray.uint8[this._pos1+36]},r.placedOrientation.get=function(){return this._structArray.uint8[this._pos1+37]},r.placedOrientation.set=function(t){this._structArray.uint8[this._pos1+37]=t},r.hidden.get=function(){return this._structArray.uint8[this._pos1+38]},r.hidden.set=function(t){this._structArray.uint8[this._pos1+38]=t},r.crossTileID.get=function(){return this._structArray.uint32[this._pos4+10]},r.crossTileID.set=function(t){this._structArray.uint32[this._pos4+10]=t},r.associatedIconIndex.get=function(){return this._structArray.int16[this._pos2+22]},Object.defineProperties(e.prototype,r),e}($i);Ma.prototype.size=48;var Sa=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.get=function(t){return new Ma(this,t)},e}(ga);oi("PlacedSymbolArray",Sa);var Ea=function(t){function e(){t.apply(this,arguments)}t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e;var r={anchorX:{configurable:!0},anchorY:{configurable:!0},rightJustifiedTextSymbolIndex:{configurable:!0},centerJustifiedTextSymbolIndex:{configurable:!0},leftJustifiedTextSymbolIndex:{configurable:!0},verticalPlacedTextSymbolIndex:{configurable:!0},placedIconSymbolIndex:{configurable:!0},verticalPlacedIconSymbolIndex:{configurable:!0},key:{configurable:!0},textBoxStartIndex:{configurable:!0},textBoxEndIndex:{configurable:!0},verticalTextBoxStartIndex:{configurable:!0},verticalTextBoxEndIndex:{configurable:!0},iconBoxStartIndex:{configurable:!0},iconBoxEndIndex:{configurable:!0},verticalIconBoxStartIndex:{configurable:!0},verticalIconBoxEndIndex:{configurable:!0},featureIndex:{configurable:!0},numHorizontalGlyphVertices:{configurable:!0},numVerticalGlyphVertices:{configurable:!0},numIconVertices:{configurable:!0},numVerticalIconVertices:{configurable:!0},useRuntimeCollisionCircles:{configurable:!0},crossTileID:{configurable:!0},textBoxScale:{configurable:!0},textOffset0:{configurable:!0},textOffset1:{configurable:!0},collisionCircleDiameter:{configurable:!0}};return 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L=Uu(h,y,v),C=Uu(p,m,g),P=0;P0&&(d=Math.max(10,d),this.circleDiameter=d)}else{var v=o.top*s-l,g=o.bottom*s+l,y=o.left*s-l,m=o.right*s+l,x=o.collisionPadding;if(x&&(y-=x[0]*s,v-=x[1]*s,m+=x[2]*s,g+=x[3]*s),c){var b=new a(y,v),_=new a(m,v),w=new a(y,g),T=new a(m,g),k=c*Math.PI/180;b._rotate(k),_._rotate(k),w._rotate(k),T._rotate(k),y=Math.min(b.x,_.x,w.x,T.x),m=Math.max(b.x,_.x,w.x,T.x),v=Math.min(b.y,_.y,w.y,T.y),g=Math.max(b.y,_.y,w.y,T.y)}t.emplaceBack(e.x,e.y,y,v,m,g,r,n,i)}this.boxEndIndex=t.length},Gu=function(t,e){if(void 0===t&&(t=[]),void 0===e&&(e=Wu),this.data=t,this.length=this.data.length,this.compare=e,this.length>0)for(var r=(this.length>>1)-1;r>=0;r--)this._down(r)};function Wu(t,e){return te?1:0}function Yu(t,e,r){void 0===e&&(e=1),void 0===r&&(r=!1);for(var n=1/0,i=1/0,o=-1/0,s=-1/0,l=t[0],u=0;uo)&&(o=c.x),(!u||c.y>s)&&(s=c.y)}var f=o-n,h=s-i,p=Math.min(f,h),d=p/2,v=new Gu([],Xu);if(0===p)return new a(n,i);for(var g=n;gm.d||!m.d)&&(m=b,r&&console.log("found best %d 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i=t-1>>1,a=e[i];if(r(n,a)>=0)break;e[t]=a,t=i}e[t]=n},Gu.prototype._down=function(t){for(var e=this.data,r=this.compare,n=this.length>>1,i=e[t];t=0)break;e[t]=o,t=a}e[t]=i};var Ku=7,Ju=Number.POSITIVE_INFINITY;function $u(t,e){return e[1]!==Ju?function(t,e,r){var n=0,i=0;switch(e=Math.abs(e),r=Math.abs(r),t){case"top-right":case"top-left":case"top":i=r-Ku;break;case"bottom-right":case"bottom-left":case"bottom":i=-r+Ku}switch(t){case"top-right":case"bottom-right":case"right":n=-e;break;case"top-left":case"bottom-left":case"left":n=e}return[n,i]}(t,e[0],e[1]):function(t,e){var r=0,n=0;e<0&&(e=0);var i=e/Math.sqrt(2);switch(t){case"top-right":case"top-left":n=i-Ku;break;case"bottom-right":case"bottom-left":n=-i+Ku;break;case"bottom":n=-e+Ku;break;case"top":n=e-Ku}switch(t){case"top-right":case"bottom-right":r=-i;break;case"top-left":case"bottom-left":r=i;break;case"left":r=e;break;case"right":r=-e}return[r,n]}(t,e[0])}function Qu(t){switch(t){case"right":case"top-right":case"bottom-right":return"right";case"left":case"top-left":case"bottom-left":return"left"}return"center"}var tc=255,ec=tc*Au;function rc(t,e,r,n,i,o,s,l,u,c,f,h,p,d,v){var g=function(t,e,r,n,i,o,s,l){for(var u=n.layout.get("text-rotate").evaluate(o,{})*Math.PI/180,c=[],f=0,h=e.positionedLines;fec&&k(t.layerIds[0]+': Value for "text-size" is >= '+tc+'. 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this.hasDebugData()&&this.iconCollisionBox.segments.get().length>0},hc.prototype.addIndicesForPlacedSymbol=function(t,e){for(var r=t.placedSymbolArray.get(e),n=r.vertexStartIndex+4*r.numGlyphs,i=r.vertexStartIndex;i1||this.icon.segments.get().length>1)){this.symbolInstanceIndexes=this.getSortedSymbolIndexes(t),this.sortedAngle=t,this.text.indexArray.clear(),this.icon.indexArray.clear(),this.featureSortOrder=[];for(var 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qi(Ft.layout_symbol["symbol-z-order"]),"icon-allow-overlap":new qi(Ft.layout_symbol["icon-allow-overlap"]),"icon-ignore-placement":new qi(Ft.layout_symbol["icon-ignore-placement"]),"icon-optional":new qi(Ft.layout_symbol["icon-optional"]),"icon-rotation-alignment":new qi(Ft.layout_symbol["icon-rotation-alignment"]),"icon-size":new Hi(Ft.layout_symbol["icon-size"]),"icon-text-fit":new qi(Ft.layout_symbol["icon-text-fit"]),"icon-text-fit-padding":new qi(Ft.layout_symbol["icon-text-fit-padding"]),"icon-image":new Hi(Ft.layout_symbol["icon-image"]),"icon-rotate":new Hi(Ft.layout_symbol["icon-rotate"]),"icon-padding":new qi(Ft.layout_symbol["icon-padding"]),"icon-keep-upright":new qi(Ft.layout_symbol["icon-keep-upright"]),"icon-offset":new Hi(Ft.layout_symbol["icon-offset"]),"icon-anchor":new Hi(Ft.layout_symbol["icon-anchor"]),"icon-pitch-alignment":new qi(Ft.layout_symbol["icon-pitch-alignment"]),"text-pitch-alignment":new qi(Ft.layout_symbol["text-pitch-alignment"]),"text-rotation-alignment":new qi(Ft.layout_symbol["text-rotation-alignment"]),"text-field":new Hi(Ft.layout_symbol["text-field"]),"text-font":new Hi(Ft.layout_symbol["text-font"]),"text-size":new Hi(Ft.layout_symbol["text-size"]),"text-max-width":new Hi(Ft.layout_symbol["text-max-width"]),"text-line-height":new qi(Ft.layout_symbol["text-line-height"]),"text-letter-spacing":new Hi(Ft.layout_symbol["text-letter-spacing"]),"text-justify":new Hi(Ft.layout_symbol["text-justify"]),"text-radial-offset":new Hi(Ft.layout_symbol["text-radial-offset"]),"text-variable-anchor":new qi(Ft.layout_symbol["text-variable-anchor"]),"text-anchor":new Hi(Ft.layout_symbol["text-anchor"]),"text-max-angle":new qi(Ft.layout_symbol["text-max-angle"]),"text-writing-mode":new qi(Ft.layout_symbol["text-writing-mode"]),"text-rotate":new Hi(Ft.layout_symbol["text-rotate"]),"text-padding":new qi(Ft.layout_symbol["text-padding"]),"text-keep-upright":new qi(Ft.layout_symbol["text-keep-upright"]),"text-transform":new Hi(Ft.layout_symbol["text-transform"]),"text-offset":new Hi(Ft.layout_symbol["text-offset"]),"text-allow-overlap":new qi(Ft.layout_symbol["text-allow-overlap"]),"text-ignore-placement":new qi(Ft.layout_symbol["text-ignore-placement"]),"text-optional":new qi(Ft.layout_symbol["text-optional"])}),dc={paint:new Xi({"icon-opacity":new Hi(Ft.paint_symbol["icon-opacity"]),"icon-color":new Hi(Ft.paint_symbol["icon-color"]),"icon-halo-color":new Hi(Ft.paint_symbol["icon-halo-color"]),"icon-halo-width":new Hi(Ft.paint_symbol["icon-halo-width"]),"icon-halo-blur":new Hi(Ft.paint_symbol["icon-halo-blur"]),"icon-translate":new qi(Ft.paint_symbol["icon-translate"]),"icon-translate-anchor":new qi(Ft.paint_symbol["icon-translate-anchor"]),"text-opacity":new Hi(Ft.paint_symbol["text-opacity"]),"text-color":new Hi(Ft.paint_symbol["text-color"],{runtimeType:Zt,getOverride:function(t){return t.textColor},hasOverride:function(t){return!!t.textColor}}),"text-halo-color":new Hi(Ft.paint_symbol["text-halo-color"]),"text-halo-width":new Hi(Ft.paint_symbol["text-halo-width"]),"text-halo-blur":new Hi(Ft.paint_symbol["text-halo-blur"]),"text-translate":new qi(Ft.paint_symbol["text-translate"]),"text-translate-anchor":new qi(Ft.paint_symbol["text-translate-anchor"])}),layout:pc},vc=function(t){this.type=t.property.overrides?t.property.overrides.runtimeType:Gt,this.defaultValue=t};vc.prototype.evaluate=function(t){if(t.formattedSection){var e=this.defaultValue.property.overrides;if(e&&e.hasOverride(t.formattedSection))return e.getOverride(t.formattedSection)}return t.feature&&t.featureState?this.defaultValue.evaluate(t.feature,t.featureState):this.defaultValue.property.specification.default},vc.prototype.eachChild=function(t){this.defaultValue.isConstant()||t(this.defaultValue.value._styleExpression.expression)},vc.prototype.outputDefined=function(){return!1},vc.prototype.serialize=function(){return null},oi("FormatSectionOverride",vc,{omit:["defaultValue"]});var gc=function(t){function e(e){t.call(this,e,dc)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.recalculate=function(e,r){if(t.prototype.recalculate.call(this,e,r),"auto"===this.layout.get("icon-rotation-alignment")&&("point"!==this.layout.get("symbol-placement")?this.layout._values["icon-rotation-alignment"]="map":this.layout._values["icon-rotation-alignment"]="viewport"),"auto"===this.layout.get("text-rotation-alignment")&&("point"!==this.layout.get("symbol-placement")?this.layout._values["text-rotation-alignment"]="map":this.layout._values["text-rotation-alignment"]="viewport"),"auto"===this.layout.get("text-pitch-alignment")&&(this.layout._values["text-pitch-alignment"]=this.layout.get("text-rotation-alignment")),"auto"===this.layout.get("icon-pitch-alignment")&&(this.layout._values["icon-pitch-alignment"]=this.layout.get("icon-rotation-alignment")),"point"===this.layout.get("symbol-placement")){var n=this.layout.get("text-writing-mode");if(n){for(var i=[],a=0,o=n;a",targetMapId:n,sourceMapId:a.mapId})}}},Cc.prototype.receive=function(t){var e=t.data,r=e.id;if(r&&(!e.targetMapId||this.mapId===e.targetMapId))if(""===e.type){delete this.tasks[r];var n=this.cancelCallbacks[r];delete this.cancelCallbacks[r],n&&n()}else S()||e.mustQueue?(this.tasks[r]=e,this.taskQueue.push(r),this.invoker.trigger()):this.processTask(r,e)},Cc.prototype.process=function(){if(this.taskQueue.length){var t=this.taskQueue.shift(),e=this.tasks[t];delete this.tasks[t],this.taskQueue.length&&this.invoker.trigger(),e&&this.processTask(t,e)}},Cc.prototype.processTask=function(t,e){var r=this;if(""===e.type){var n=this.callbacks[t];delete this.callbacks[t],n&&(e.error?n(fi(e.error)):n(null,fi(e.data)))}else{var i=!1,a=C(this.globalScope)?void 0:[],o=e.hasCallback?function(e,n){i=!0,delete r.cancelCallbacks[t],r.target.postMessage({id:t,type:"",sourceMapId:r.mapId,error:e?ci(e):null,data:ci(n,a)},a)}:function(t){i=!0},s=null,l=fi(e.data);if(this.parent[e.type])s=this.parent[e.type](e.sourceMapId,l,o);else if(this.parent.getWorkerSource){var u=e.type.split(".");s=this.parent.getWorkerSource(e.sourceMapId,u[0],l.source)[u[1]](l,o)}else o(new Error("Could not find function "+e.type));!i&&s&&s.cancel&&(this.cancelCallbacks[t]=s.cancel)}},Cc.prototype.remove=function(){this.invoker.remove(),this.target.removeEventListener("message",this.receive,!1)};var Oc=function(t,e){t&&(e?this.setSouthWest(t).setNorthEast(e):4===t.length?this.setSouthWest([t[0],t[1]]).setNorthEast([t[2],t[3]]):this.setSouthWest(t[0]).setNorthEast(t[1]))};Oc.prototype.setNorthEast=function(t){return this._ne=t instanceof Dc?new Dc(t.lng,t.lat):Dc.convert(t),this},Oc.prototype.setSouthWest=function(t){return this._sw=t instanceof Dc?new Dc(t.lng,t.lat):Dc.convert(t),this},Oc.prototype.extend=function(t){var e,r,n=this._sw,i=this._ne;if(t instanceof Dc)e=t,r=t;else{if(!(t instanceof Oc)){if(Array.isArray(t)){if(4===t.length||t.every(Array.isArray)){var a=t;return this.extend(Oc.convert(a))}var o=t;return this.extend(Dc.convert(o))}return this}if(e=t._sw,r=t._ne,!e||!r)return this}return n||i?(n.lng=Math.min(e.lng,n.lng),n.lat=Math.min(e.lat,n.lat),i.lng=Math.max(r.lng,i.lng),i.lat=Math.max(r.lat,i.lat)):(this._sw=new Dc(e.lng,e.lat),this._ne=new Dc(r.lng,r.lat)),this},Oc.prototype.getCenter=function(){return new Dc((this._sw.lng+this._ne.lng)/2,(this._sw.lat+this._ne.lat)/2)},Oc.prototype.getSouthWest=function(){return this._sw},Oc.prototype.getNorthEast=function(){return this._ne},Oc.prototype.getNorthWest=function(){return new Dc(this.getWest(),this.getNorth())},Oc.prototype.getSouthEast=function(){return new Dc(this.getEast(),this.getSouth())},Oc.prototype.getWest=function(){return this._sw.lng},Oc.prototype.getSouth=function(){return this._sw.lat},Oc.prototype.getEast=function(){return this._ne.lng},Oc.prototype.getNorth=function(){return this._ne.lat},Oc.prototype.toArray=function(){return[this._sw.toArray(),this._ne.toArray()]},Oc.prototype.toString=function(){return"LngLatBounds("+this._sw.toString()+", "+this._ne.toString()+")"},Oc.prototype.isEmpty=function(){return!(this._sw&&this._ne)},Oc.prototype.contains=function(t){var e=Dc.convert(t),r=e.lng,n=e.lat,i=this._sw.lat<=n&&n<=this._ne.lat,a=this._sw.lng<=r&&r<=this._ne.lng;return this._sw.lng>this._ne.lng&&(a=this._sw.lng>=r&&r>=this._ne.lng),i&&a},Oc.convert=function(t){return!t||t instanceof Oc?t:new Oc(t)};var Ic=6371008.8,Dc=function(t,e){if(isNaN(t)||isNaN(e))throw new Error("Invalid LngLat object: ("+t+", "+e+")");if(this.lng=+t,this.lat=+e,this.lat>90||this.lat<-90)throw new Error("Invalid LngLat latitude value: must be between -90 and 90")};Dc.prototype.wrap=function(){return new Dc(h(this.lng,-180,180),this.lat)},Dc.prototype.toArray=function(){return[this.lng,this.lat]},Dc.prototype.toString=function(){return"LngLat("+this.lng+", "+this.lat+")"},Dc.prototype.distanceTo=function(t){var e=Math.PI/180,r=this.lat*e,n=t.lat*e,i=Math.sin(r)*Math.sin(n)+Math.cos(r)*Math.cos(n)*Math.cos((t.lng-this.lng)*e);return Ic*Math.acos(Math.min(i,1))},Dc.prototype.toBounds=function(t){void 0===t&&(t=0);var e=360*t/40075017,r=e/Math.cos(Math.PI/180*this.lat);return new Oc(new Dc(this.lng-r,this.lat-e),new Dc(this.lng+r,this.lat+e))},Dc.convert=function(t){if(t instanceof Dc)return t;if(Array.isArray(t)&&(2===t.length||3===t.length))return new Dc(Number(t[0]),Number(t[1]));if(!Array.isArray(t)&&"object"==typeof t&&null!==t)return new Dc(Number("lng"in t?t.lng:t.lon),Number(t.lat));throw new Error("`LngLatLike` argument must be specified as a LngLat instance, an object {lng: , lat: }, an object {lon: , lat: }, or an array of [, ]")};var zc=2*Math.PI*Ic;function Rc(t){return zc*Math.cos(t*Math.PI/180)}function Fc(t){return(180+t)/360}function Bc(t){return(180-180/Math.PI*Math.log(Math.tan(Math.PI/4+t*Math.PI/360)))/360}function Nc(t,e){return t/Rc(e)}function jc(t){var e=180-360*t;return 360/Math.PI*Math.atan(Math.exp(e*Math.PI/180))-90}var Uc=function(t,e,r){void 0===r&&(r=0),this.x=+t,this.y=+e,this.z=+r};Uc.fromLngLat=function(t,e){void 0===e&&(e=0);var r=Dc.convert(t);return new Uc(Fc(r.lng),Bc(r.lat),Nc(e,r.lat))},Uc.prototype.toLngLat=function(){return new Dc(360*this.x-180,jc(this.y))},Uc.prototype.toAltitude=function(){return t=this.z,e=this.y,t*Rc(jc(e));var t,e},Uc.prototype.meterInMercatorCoordinateUnits=function(){return 1/zc*(t=jc(this.y),1/Math.cos(t*Math.PI/180));var t};var Vc=function(t,e,r){this.z=t,this.x=e,this.y=r,this.key=Gc(0,t,t,e,r)};Vc.prototype.equals=function(t){return this.z===t.z&&this.x===t.x&&this.y===t.y},Vc.prototype.url=function(t,e){var r,n,i,a,o,s=(r=this.x,n=this.y,i=this.z,a=Pc(256*r,256*(n=Math.pow(2,i)-n-1),i),o=Pc(256*(r+1),256*(n+1),i),a[0]+","+a[1]+","+o[0]+","+o[1]),l=function(t,e,r){for(var n,i="",a=t;a>0;a--)i+=(e&(n=1<this.canonical.z?new Hc(t,this.wrap,this.canonical.z,this.canonical.x,this.canonical.y):new Hc(t,this.wrap,t,this.canonical.x>>e,this.canonical.y>>e)},Hc.prototype.calculateScaledKey=function(t,e){var r=this.canonical.z-t;return t>this.canonical.z?Gc(this.wrap*+e,t,this.canonical.z,this.canonical.x,this.canonical.y):Gc(this.wrap*+e,t,t,this.canonical.x>>r,this.canonical.y>>r)},Hc.prototype.isChildOf=function(t){if(t.wrap!==this.wrap)return!1;var e=this.canonical.z-t.canonical.z;return 0===t.overscaledZ||t.overscaledZ>e&&t.canonical.y===this.canonical.y>>e},Hc.prototype.children=function(t){if(this.overscaledZ>=t)return[new Hc(this.overscaledZ+1,this.wrap,this.canonical.z,this.canonical.x,this.canonical.y)];var e=this.canonical.z+1,r=2*this.canonical.x,n=2*this.canonical.y;return[new Hc(e,this.wrap,e,r,n),new Hc(e,this.wrap,e,r+1,n),new Hc(e,this.wrap,e,r,n+1),new Hc(e,this.wrap,e,r+1,n+1)]},Hc.prototype.isLessThan=function(t){return this.wrapt.wrap)&&(this.overscaledZt.overscaledZ)&&(this.canonical.xt.canonical.x)&&this.canonical.y=this.dim+1||e<-1||e>=this.dim+1)throw new RangeError("out of range source coordinates for DEM data");return(e+1)*this.stride+(t+1)},Wc.prototype._unpackMapbox=function(t,e,r){return(256*t*256+256*e+r)/10-1e4},Wc.prototype._unpackTerrarium=function(t,e,r){return 256*t+e+r/256-32768},Wc.prototype.getPixels=function(){return new $o({width:this.stride,height:this.stride},new Uint8Array(this.data.buffer))},Wc.prototype.backfillBorder=function(t,e,r){if(this.dim!==t.dim)throw new Error("dem dimension mismatch");var n=e*this.dim,i=e*this.dim+this.dim,a=r*this.dim,o=r*this.dim+this.dim;switch(e){case-1:n=i-1;break;case 1:i=n+1}switch(r){case-1:a=o-1;break;case 1:o=a+1}for(var s=-e*this.dim,l=-r*this.dim,u=a;u=0&&c[3]>=0&&s.insert(o,c[0],c[1],c[2],c[3])}},Jc.prototype.loadVTLayers=function(){return this.vtLayers||(this.vtLayers=new tl.VectorTile(new Ol(this.rawTileData)).layers,this.sourceLayerCoder=new Yc(this.vtLayers?Object.keys(this.vtLayers).sort():["_geojsonTileLayer"])),this.vtLayers},Jc.prototype.query=function(t,e,r,n){var i=this;this.loadVTLayers();for(var o=t.params||{},s=po/t.tileSize/t.scale,l=An(o.filter),u=t.queryGeometry,c=t.queryPadding*s,f=Qc(u),h=this.grid.query(f.minX-c,f.minY-c,f.maxX+c,f.maxY+c),p=Qc(t.cameraQueryGeometry),d=0,v=this.grid3D.query(p.minX-c,p.minY-c,p.maxX+c,p.maxY+c,(function(e,r,n,i){return function(t,e,r,n,i){for(var o=0,s=t;o=l.x&&i>=l.y)return!0}var u=[new a(e,r),new a(e,i),new a(n,i),new a(n,r)];if(t.length>2)for(var c=0,f=u;c=0)return!0;return!1}(a,f)){var h=this.sourceLayerCoder.decode(r),d=this.vtLayers[h].feature(n);if(i.needGeometry){var v=mo(d,!0);if(!i.filter(new Di(this.tileID.overscaledZ),v,this.tileID.canonical))return}else if(!i.filter(new Di(this.tileID.overscaledZ),d))return;for(var g=this.getId(d,h),y=0;yn)i=!1;else if(e)if(this.expirationTimeht&&(t.getActor().send("enforceCacheSizeLimit",ft),xt=0)},t.clamp=f,t.clearTileCache=function(t){var e=s.caches.delete(ct);t&&e.catch(t).then((function(){return t()}))},t.clipLine=Fu,t.clone=function(t){var e=new Fo(16);return e[0]=t[0],e[1]=t[1],e[2]=t[2],e[3]=t[3],e[4]=t[4],e[5]=t[5],e[6]=t[6],e[7]=t[7],e[8]=t[8],e[9]=t[9],e[10]=t[10],e[11]=t[11],e[12]=t[12],e[13]=t[13],e[14]=t[14],e[15]=t[15],e},t.clone$1=w,t.clone$2=function(t){var e=new Fo(3);return e[0]=t[0],e[1]=t[1],e[2]=t[2],e},t.collisionCircleLayout=Ml,t.config=j,t.create=function(){var t=new Fo(16);return Fo!=Float32Array&&(t[1]=0,t[2]=0,t[3]=0,t[4]=0,t[6]=0,t[7]=0,t[8]=0,t[9]=0,t[11]=0,t[12]=0,t[13]=0,t[14]=0),t[0]=1,t[5]=1,t[10]=1,t[15]=1,t},t.create$1=function(){var t=new Fo(9);return Fo!=Float32Array&&(t[1]=0,t[2]=0,t[3]=0,t[5]=0,t[6]=0,t[7]=0),t[0]=1,t[4]=1,t[8]=1,t},t.create$2=function(){var t=new Fo(4);return Fo!=Float32Array&&(t[1]=0,t[2]=0),t[0]=1,t[3]=1,t},t.createCommonjsModule=e,t.createExpression=fn,t.createLayout=ta,t.createStyleLayer=function(t){return"custom"===t.type?new _c(t):new wc[t.type](t)},t.cross=function(t,e,r){var n=e[0],i=e[1],a=e[2],o=r[0],s=r[1],l=r[2];return t[0]=i*l-a*s,t[1]=a*o-n*l,t[2]=n*s-i*o,t},t.deepEqual=function t(e,r){if(Array.isArray(e)){if(!Array.isArray(r)||e.length!==r.length)return!1;for(var n=0;n0&&(a=1/Math.sqrt(a)),t[0]=e[0]*a,t[1]=e[1]*a,t[2]=e[2]*a,t},t.number=er,t.offscreenCanvasSupported=bt,t.ortho=function(t,e,r,n,i,a,o){var s=1/(e-r),l=1/(n-i),u=1/(a-o);return t[0]=-2*s,t[1]=0,t[2]=0,t[3]=0,t[4]=0,t[5]=-2*l,t[6]=0,t[7]=0,t[8]=0,t[9]=0,t[10]=2*u,t[11]=0,t[12]=(e+r)*s,t[13]=(i+n)*l,t[14]=(o+a)*u,t[15]=1,t},t.parseGlyphPBF=function(t){return new Ol(t).readFields(Ql,[])},t.pbf=Ol,t.performSymbolLayout=function(t,e,r,n,i,a,o){t.createArrays();var s=512*t.overscaling;t.tilePixelRatio=po/s,t.compareText={},t.iconsNeedLinear=!1;var l=t.layers[0].layout,u=t.layers[0]._unevaluatedLayout._values,c={};if("composite"===t.textSizeData.kind){var f=t.textSizeData,h=f.minZoom,p=f.maxZoom;c.compositeTextSizes=[u["text-size"].possiblyEvaluate(new Di(h),o),u["text-size"].possiblyEvaluate(new Di(p),o)]}if("composite"===t.iconSizeData.kind){var d=t.iconSizeData,v=d.minZoom,g=d.maxZoom;c.compositeIconSizes=[u["icon-size"].possiblyEvaluate(new Di(v),o),u["icon-size"].possiblyEvaluate(new Di(g),o)]}c.layoutTextSize=u["text-size"].possiblyEvaluate(new Di(t.zoom+1),o),c.layoutIconSize=u["icon-size"].possiblyEvaluate(new Di(t.zoom+1),o),c.textMaxSize=u["text-size"].possiblyEvaluate(new Di(18));for(var y=l.get("text-line-height")*Ll,m="map"===l.get("text-rotation-alignment")&&"point"!==l.get("symbol-placement"),x=l.get("text-keep-upright"),b=l.get("text-size"),_=function(){var a=T[w],s=l.get("text-font").evaluate(a,{},o).join(","),u=b.evaluate(a,{},o),f=c.layoutTextSize.evaluate(a,{},o),h=c.layoutIconSize.evaluate(a,{},o),p={horizontal:{},vertical:void 0},d=a.text,v=[0,0];if(d){var g=d.toString(),_=l.get("text-letter-spacing").evaluate(a,{},o)*Ll,A=function(t){for(var e=0,r=t;e=po||f.y<0||f.y>=po||function(t,e,r,n,i,a,o,s,l,u,c,f,h,p,d,v,g,y,m,x,b,_,w,T,A){var M,S,E,L,C,P=t.addToLineVertexArray(e,r),O=0,I=0,D=0,z=0,R=-1,F=-1,B={},N=ja(""),j=0,U=0;if(void 0===s._unevaluatedLayout.getValue("text-radial-offset")?(j=(M=s.layout.get("text-offset").evaluate(b,{},T).map((function(t){return t*Ll})))[0],U=M[1]):(j=s.layout.get("text-radial-offset").evaluate(b,{},T)*Ll,U=Ju),t.allowVerticalPlacement&&n.vertical){var V=s.layout.get("text-rotate").evaluate(b,{},T)+90,q=n.vertical;L=new Hu(l,e,u,c,f,q,h,p,d,V),o&&(C=new Hu(l,e,u,c,f,o,g,y,d,V))}if(i){var H=s.layout.get("icon-rotate").evaluate(b,{}),G="none"!==s.layout.get("icon-text-fit"),W=Nu(i,H,w,G),Y=o?Nu(o,H,w,G):void 0;E=new Hu(l,e,u,c,f,i,g,y,!1,H),O=4*W.length;var X=t.iconSizeData,Z=null;"source"===X.kind?(Z=[Au*s.layout.get("icon-size").evaluate(b,{})])[0]>ec&&k(t.layerIds[0]+': Value for "icon-size" is >= '+tc+'. Reduce your "icon-size".'):"composite"===X.kind&&((Z=[Au*_.compositeIconSizes[0].evaluate(b,{},T),Au*_.compositeIconSizes[1].evaluate(b,{},T)])[0]>ec||Z[1]>ec)&&k(t.layerIds[0]+': Value for "icon-size" is >= '+tc+'. Reduce your "icon-size".'),t.addSymbols(t.icon,W,Z,x,m,b,!1,e,P.lineStartIndex,P.lineLength,-1,T),R=t.icon.placedSymbolArray.length-1,Y&&(I=4*Y.length,t.addSymbols(t.icon,Y,Z,x,m,b,lu.vertical,e,P.lineStartIndex,P.lineLength,-1,T),F=t.icon.placedSymbolArray.length-1)}for(var K in n.horizontal){var J=n.horizontal[K];if(!S){N=ja(J.text);var $=s.layout.get("text-rotate").evaluate(b,{},T);S=new Hu(l,e,u,c,f,J,h,p,d,$)}var Q=1===J.positionedLines.length;if(D+=rc(t,e,J,a,s,d,b,v,P,n.vertical?lu.horizontal:lu.horizontalOnly,Q?Object.keys(n.horizontal):[K],B,R,_,T),Q)break}n.vertical&&(z+=rc(t,e,n.vertical,a,s,d,b,v,P,lu.vertical,["vertical"],B,F,_,T));var tt=S?S.boxStartIndex:t.collisionBoxArray.length,et=S?S.boxEndIndex:t.collisionBoxArray.length,rt=L?L.boxStartIndex:t.collisionBoxArray.length,nt=L?L.boxEndIndex:t.collisionBoxArray.length,it=E?E.boxStartIndex:t.collisionBoxArray.length,at=E?E.boxEndIndex:t.collisionBoxArray.length,ot=C?C.boxStartIndex:t.collisionBoxArray.length,st=C?C.boxEndIndex:t.collisionBoxArray.length,lt=-1,ut=function(t,e){return t&&t.circleDiameter?Math.max(t.circleDiameter,e):e};lt=ut(S,lt),lt=ut(L,lt),lt=ut(E,lt);var ct=(lt=ut(C,lt))>-1?1:0;ct&&(lt*=A/Ll),t.glyphOffsetArray.length>=hc.MAX_GLYPHS&&k("Too many glyphs being rendered in a tile. See https://github.com/mapbox/mapbox-gl-js/issues/2907"),void 0!==b.sortKey&&t.addToSortKeyRanges(t.symbolInstances.length,b.sortKey),t.symbolInstances.emplaceBack(e.x,e.y,B.right>=0?B.right:-1,B.center>=0?B.center:-1,B.left>=0?B.left:-1,B.vertical||-1,R,F,N,tt,et,rt,nt,it,at,ot,st,u,D,z,O,I,ct,0,h,j,U,lt)}(t,f,s,r,n,i,h,t.layers[0],t.collisionBoxArray,e.index,e.sourceLayerIndex,t.index,m,w,M,l,b,T,S,d,e,a,u,c,o)};if("line"===E)for(var O=0,I=Fu(e.geometry,0,0,po,po);O1){var U=Du(j,A,r.vertical||v,n,g,x);U&&P(j,U)}}else if("Polygon"===e.type)for(var V=0,q=Fs(e.geometry,0);V=E.maxzoom||"none"!==E.visibility&&(o(S,this.zoom,n),(v[E.id]=E.createBucket({index:c.bucketLayerIDs.length,layers:S,zoom:this.zoom,pixelRatio:this.pixelRatio,overscaling:this.overscaling,collisionBoxArray:this.collisionBoxArray,sourceLayerIndex:b,sourceID:this.source})).populate(_,g,this.tileID.canonical),c.bucketLayerIDs.push(S.map((function(t){return t.id}))))}}}var L=t.mapObject(g.glyphDependencies,(function(t){return Object.keys(t).map(Number)}));Object.keys(L).length?a.send("getGlyphs",{uid:this.uid,stacks:L},(function(t,e){f||(f=t,h=e,O.call(l))})):h={};var C=Object.keys(g.iconDependencies);C.length?a.send("getImages",{icons:C,source:this.source,tileID:this.tileID,type:"icons"},(function(t,e){f||(f=t,p=e,O.call(l))})):p={};var P=Object.keys(g.patternDependencies);function O(){if(f)return s(f);if(h&&p&&d){var e=new i(h),r=new t.ImageAtlas(p,d);for(var a in v){var l=v[a];l instanceof t.SymbolBucket?(o(l.layers,this.zoom,n),t.performSymbolLayout(l,h,e.positions,p,r.iconPositions,this.showCollisionBoxes,this.tileID.canonical)):l.hasPattern&&(l instanceof t.LineBucket||l instanceof t.FillBucket||l instanceof t.FillExtrusionBucket)&&(o(l.layers,this.zoom,n),l.addFeatures(g,this.tileID.canonical,r.patternPositions))}this.status="done",s(null,{buckets:t.values(v).filter((function(t){return!t.isEmpty()})),featureIndex:c,collisionBoxArray:this.collisionBoxArray,glyphAtlasImage:e.image,imageAtlas:r,glyphMap:this.returnDependencies?h:null,iconMap:this.returnDependencies?p:null,glyphPositions:this.returnDependencies?e.positions:null})}}P.length?a.send("getImages",{icons:P,source:this.source,tileID:this.tileID,type:"patterns"},(function(t,e){f||(f=t,d=e,O.call(l))})):d={},O.call(this)};var l=function(t,e,r,n){this.actor=t,this.layerIndex=e,this.availableImages=r,this.loadVectorData=n||s,this.loading={},this.loaded={}};l.prototype.loadTile=function(e,r){var n=this,i=e.uid;this.loading||(this.loading={});var o=!!(e&&e.request&&e.request.collectResourceTiming)&&new t.RequestPerformance(e.request),s=this.loading[i]=new a(e);s.abort=this.loadVectorData(e,(function(e,a){if(delete n.loading[i],e||!a)return s.status="done",n.loaded[i]=s,r(e);var l=a.rawData,u={};a.expires&&(u.expires=a.expires),a.cacheControl&&(u.cacheControl=a.cacheControl);var c={};if(o){var f=o.finish();f&&(c.resourceTiming=JSON.parse(JSON.stringify(f)))}s.vectorTile=a.vectorTile,s.parse(a.vectorTile,n.layerIndex,n.availableImages,n.actor,(function(e,n){if(e||!n)return r(e);r(null,t.extend({rawTileData:l.slice(0)},n,u,c))})),n.loaded=n.loaded||{},n.loaded[i]=s}))},l.prototype.reloadTile=function(t,e){var r=this,n=this.loaded,i=t.uid,a=this;if(n&&n[i]){var o=n[i];o.showCollisionBoxes=t.showCollisionBoxes;var s=function(t,n){var i=o.reloadCallback;i&&(delete o.reloadCallback,o.parse(o.vectorTile,a.layerIndex,r.availableImages,a.actor,i)),e(t,n)};"parsing"===o.status?o.reloadCallback=s:"done"===o.status&&(o.vectorTile?o.parse(o.vectorTile,this.layerIndex,this.availableImages,this.actor,s):s())}},l.prototype.abortTile=function(t,e){var r=this.loading,n=t.uid;r&&r[n]&&r[n].abort&&(r[n].abort(),delete r[n]),e()},l.prototype.removeTile=function(t,e){var r=this.loaded,n=t.uid;r&&r[n]&&delete r[n],e()};var u=t.window.ImageBitmap,c=function(){this.loaded={}};c.prototype.loadTile=function(e,r){var n=e.uid,i=e.encoding,a=e.rawImageData,o=u&&a instanceof u?this.getImageData(a):a,s=new t.DEMData(n,o,i);this.loaded=this.loaded||{},this.loaded[n]=s,r(null,s)},c.prototype.getImageData=function(e){this.offscreenCanvas&&this.offscreenCanvasContext||(this.offscreenCanvas=new OffscreenCanvas(e.width,e.height),this.offscreenCanvasContext=this.offscreenCanvas.getContext("2d")),this.offscreenCanvas.width=e.width,this.offscreenCanvas.height=e.height,this.offscreenCanvasContext.drawImage(e,0,0,e.width,e.height);var r=this.offscreenCanvasContext.getImageData(-1,-1,e.width+2,e.height+2);return this.offscreenCanvasContext.clearRect(0,0,this.offscreenCanvas.width,this.offscreenCanvas.height),new t.RGBAImage({width:r.width,height:r.height},r.data)},c.prototype.removeTile=function(t){var e=this.loaded,r=t.uid;e&&e[r]&&delete e[r]};var f=function t(e,r){var n,i=e&&e.type;if("FeatureCollection"===i)for(n=0;n=0!=!!e&&t.reverse()}var d=t.vectorTile.VectorTileFeature.prototype.toGeoJSON,v=function(e){this._feature=e,this.extent=t.EXTENT,this.type=e.type,this.properties=e.tags,"id"in e&&!isNaN(e.id)&&(this.id=parseInt(e.id,10))};v.prototype.loadGeometry=function(){if(1===this._feature.type){for(var e=[],r=0,n=this._feature.geometry;r>31}function P(t,e){for(var r=t.loadGeometry(),n=t.type,i=0,a=0,o=r.length,s=0;s>1;D(t,e,o,n,i,a%2),I(t,e,r,n,o-1,a+1),I(t,e,r,o+1,i,a+1)}}function D(t,e,r,n,i,a){for(;i>n;){if(i-n>600){var o=i-n+1,s=r-n+1,l=Math.log(o),u=.5*Math.exp(2*l/3),c=.5*Math.sqrt(l*u*(o-u)/o)*(s-o/2<0?-1:1);D(t,e,r,Math.max(n,Math.floor(r-s*u/o+c)),Math.min(i,Math.floor(r+(o-s)*u/o+c)),a)}var f=e[2*r+a],h=n,p=i;for(z(t,e,n,r),e[2*i+a]>f&&z(t,e,n,i);hf;)p--}e[2*n+a]===f?z(t,e,n,p):z(t,e,++p,i),p<=r&&(n=p+1),r<=p&&(i=p-1)}}function z(t,e,r,n){R(t,r,n),R(e,2*r,2*n),R(e,2*r+1,2*n+1)}function R(t,e,r){var n=t[e];t[e]=t[r],t[r]=n}function F(t,e,r,n){var i=t-r,a=e-n;return i*i+a*a}_.fromVectorTileJs=w,_.fromGeojsonVt=T,_.GeoJSONWrapper=k;var B=function(t){return t[0]},N=function(t){return t[1]},j=function(t,e,r,n,i){void 0===e&&(e=B),void 0===r&&(r=N),void 0===n&&(n=64),void 0===i&&(i=Float64Array),this.nodeSize=n,this.points=t;for(var a=t.length<65536?Uint16Array:Uint32Array,o=this.ids=new a(t.length),s=this.coords=new i(2*t.length),l=0;l=r&&s<=i&&l>=n&&l<=a&&c.push(t[d]);else{var v=Math.floor((p+h)/2);s=e[2*v],l=e[2*v+1],s>=r&&s<=i&&l>=n&&l<=a&&c.push(t[v]);var g=(f+1)%2;(0===f?r<=s:n<=l)&&(u.push(p),u.push(v-1),u.push(g)),(0===f?i>=s:a>=l)&&(u.push(v+1),u.push(h),u.push(g))}}return c}(this.ids,this.coords,t,e,r,n,this.nodeSize)},j.prototype.within=function(t,e,r){return function(t,e,r,n,i,a){for(var o=[0,t.length-1,0],s=[],l=i*i;o.length;){var u=o.pop(),c=o.pop(),f=o.pop();if(c-f<=a)for(var h=f;h<=c;h++)F(e[2*h],e[2*h+1],r,n)<=l&&s.push(t[h]);else{var p=Math.floor((f+c)/2),d=e[2*p],v=e[2*p+1];F(d,v,r,n)<=l&&s.push(t[p]);var g=(u+1)%2;(0===u?r-i<=d:n-i<=v)&&(o.push(f),o.push(p-1),o.push(g)),(0===u?r+i>=d:n+i>=v)&&(o.push(p+1),o.push(c),o.push(g))}}return s}(this.ids,this.coords,t,e,r,this.nodeSize)};var U={minZoom:0,maxZoom:16,minPoints:2,radius:40,extent:512,nodeSize:64,log:!1,generateId:!1,reduce:null,map:function(t){return t}},V=function(t){this.options=Z(Object.create(U),t),this.trees=new Array(this.options.maxZoom+1)};function q(t,e,r,n,i){return{x:t,y:e,zoom:1/0,id:r,parentId:-1,numPoints:n,properties:i}}function H(t,e){var r=t.geometry.coordinates,n=r[0],i=r[1];return{x:Y(n),y:X(i),zoom:1/0,index:e,parentId:-1}}function G(t){return{type:"Feature",id:t.id,properties:W(t),geometry:{type:"Point",coordinates:[(n=t.x,360*(n-.5)),(e=t.y,r=(180-360*e)*Math.PI/180,360*Math.atan(Math.exp(r))/Math.PI-90)]}};var e,r,n}function W(t){var e=t.numPoints,r=e>=1e4?Math.round(e/1e3)+"k":e>=1e3?Math.round(e/100)/10+"k":e;return Z(Z({},t.properties),{cluster:!0,cluster_id:t.id,point_count:e,point_count_abbreviated:r})}function Y(t){return t/360+.5}function X(t){var e=Math.sin(t*Math.PI/180),r=.5-.25*Math.log((1+e)/(1-e))/Math.PI;return r<0?0:r>1?1:r}function Z(t,e){for(var r in e)t[r]=e[r];return t}function K(t){return t.x}function J(t){return t.y}function $(t,e,r,n){for(var i,a=n,o=r-e>>1,s=r-e,l=t[e],u=t[e+1],c=t[r],f=t[r+1],h=e+3;ha)i=h,a=p;else if(p===a){var d=Math.abs(h-o);dn&&(i-e>3&&$(t,e,i,n),t[i+2]=a,r-i>3&&$(t,i,r,n))}function Q(t,e,r,n,i,a){var o=i-r,s=a-n;if(0!==o||0!==s){var l=((t-r)*o+(e-n)*s)/(o*o+s*s);l>1?(r=i,n=a):l>0&&(r+=o*l,n+=s*l)}return(o=t-r)*o+(s=e-n)*s}function tt(t,e,r,n){var i={id:void 0===t?null:t,type:e,geometry:r,tags:n,minX:1/0,minY:1/0,maxX:-1/0,maxY:-1/0};return function(t){var e=t.geometry,r=t.type;if("Point"===r||"MultiPoint"===r||"LineString"===r)et(t,e);else if("Polygon"===r||"MultiLineString"===r)for(var n=0;n0&&(o+=n?(i*u-l*a)/2:Math.sqrt(Math.pow(l-i,2)+Math.pow(u-a,2))),i=l,a=u}var c=e.length-3;e[2]=1,$(e,0,c,r),e[c+2]=1,e.size=Math.abs(o),e.start=0,e.end=e.size}function at(t,e,r,n){for(var i=0;i1?1:r}function lt(t,e,r,n,i,a,o,s){if(n/=e,a>=(r/=e)&&o=n)return null;for(var l=[],u=0;u=r&&d=n)){var v=[];if("Point"===h||"MultiPoint"===h)ut(f,v,r,n,i);else if("LineString"===h)ct(f,v,r,n,i,!1,s.lineMetrics);else if("MultiLineString"===h)ht(f,v,r,n,i,!1);else if("Polygon"===h)ht(f,v,r,n,i,!0);else if("MultiPolygon"===h)for(var g=0;g=r&&o<=n&&(e.push(t[a]),e.push(t[a+1]),e.push(t[a+2]))}}function ct(t,e,r,n,i,a,o){for(var s,l,u=ft(t),c=0===i?dt:vt,f=t.start,h=0;hr&&(l=c(u,p,d,g,y,r),o&&(u.start=f+s*l)):m>n?x=r&&(l=c(u,p,d,g,y,r),b=!0),x>n&&m<=n&&(l=c(u,p,d,g,y,n),b=!0),!a&&b&&(o&&(u.end=f+s*l),e.push(u),u=ft(t)),o&&(f+=s)}var _=t.length-3;p=t[_],d=t[_+1],v=t[_+2],(m=0===i?p:d)>=r&&m<=n&&pt(u,p,d,v),_=u.length-3,a&&_>=3&&(u[_]!==u[0]||u[_+1]!==u[1])&&pt(u,u[0],u[1],u[2]),u.length&&e.push(u)}function ft(t){var e=[];return e.size=t.size,e.start=t.start,e.end=t.end,e}function ht(t,e,r,n,i,a){for(var o=0;oo.maxX&&(o.maxX=c),f>o.maxY&&(o.maxY=f)}return o}function _t(t,e,r,n){var i=e.geometry,a=e.type,o=[];if("Point"===a||"MultiPoint"===a)for(var s=0;s0&&e.size<(i?o:n))r.numPoints+=e.length/3;else{for(var s=[],l=0;lo)&&(r.numSimplified++,s.push(e[l]),s.push(e[l+1])),r.numPoints++;i&&function(t,e){for(var r=0,n=0,i=t.length,a=i-2;n0===e)for(n=0,i=t.length;n24)throw new Error("maxZoom should be in the 0-24 range");if(e.promoteId&&e.generateId)throw new Error("promoteId and generateId cannot be used together.");var n=function(t,e){var r=[];if("FeatureCollection"===t.type)for(var n=0;n=n;u--){var c=+Date.now();s=this._cluster(s,u),this.trees[u]=new j(s,K,J,a,Float32Array),r&&console.log("z%d: %d clusters in %dms",u,s.length,+Date.now()-c)}return r&&console.timeEnd("total time"),this},V.prototype.getClusters=function(t,e){var r=((t[0]+180)%360+360)%360-180,n=Math.max(-90,Math.min(90,t[1])),i=180===t[2]?180:((t[2]+180)%360+360)%360-180,a=Math.max(-90,Math.min(90,t[3]));if(t[2]-t[0]>=360)r=-180,i=180;else if(r>i){var o=this.getClusters([r,n,180,a],e),s=this.getClusters([-180,n,i,a],e);return o.concat(s)}for(var l=this.trees[this._limitZoom(e)],u=[],c=0,f=l.range(Y(r),X(a),Y(i),X(n));ce&&(d+=m.numPoints||1)}if(d>=s){for(var x=c.x*p,b=c.y*p,_=o&&p>1?this._map(c,!0):null,w=(u<<5)+(e+1)+this.points.length,T=0,k=h;T1)for(var E=0,L=h;E>5},V.prototype._getOriginZoom=function(t){return(t-this.points.length)%32},V.prototype._map=function(t,e){if(t.numPoints)return e?Z({},t.properties):t.properties;var r=this.points[t.index].properties,n=this.options.map(r);return e&&n===r?Z({},n):n},Tt.prototype.options={maxZoom:14,indexMaxZoom:5,indexMaxPoints:1e5,tolerance:3,extent:4096,buffer:64,lineMetrics:!1,promoteId:null,generateId:!1,debug:0},Tt.prototype.splitTile=function(t,e,r,n,i,a,o){for(var s=[t,e,r,n],l=this.options,u=l.debug;s.length;){n=s.pop(),r=s.pop(),e=s.pop(),t=s.pop();var c=1<1&&console.time("creation"),h=this.tiles[f]=bt(t,e,r,n,l),this.tileCoords.push({z:e,x:r,y:n}),u)){u>1&&(console.log("tile z%d-%d-%d (features: %d, points: %d, simplified: %d)",e,r,n,h.numFeatures,h.numPoints,h.numSimplified),console.timeEnd("creation"));var p="z"+e;this.stats[p]=(this.stats[p]||0)+1,this.total++}if(h.source=t,i){if(e===l.maxZoom||e===i)continue;var d=1<1&&console.time("clipping");var v,g,y,m,x,b,_=.5*l.buffer/l.extent,w=.5-_,T=.5+_,k=1+_;v=g=y=m=null,x=lt(t,c,r-_,r+T,0,h.minX,h.maxX,l),b=lt(t,c,r+w,r+k,0,h.minX,h.maxX,l),t=null,x&&(v=lt(x,c,n-_,n+T,1,h.minY,h.maxY,l),g=lt(x,c,n+w,n+k,1,h.minY,h.maxY,l),x=null),b&&(y=lt(b,c,n-_,n+T,1,h.minY,h.maxY,l),m=lt(b,c,n+w,n+k,1,h.minY,h.maxY,l),b=null),u>1&&console.timeEnd("clipping"),s.push(v||[],e+1,2*r,2*n),s.push(g||[],e+1,2*r,2*n+1),s.push(y||[],e+1,2*r+1,2*n),s.push(m||[],e+1,2*r+1,2*n+1)}}},Tt.prototype.getTile=function(t,e,r){var n=this.options,i=n.extent,a=n.debug;if(t<0||t>24)return null;var o=1<1&&console.log("drilling down to z%d-%d-%d",t,e,r);for(var l,u=t,c=e,f=r;!l&&u>0;)u--,c=Math.floor(c/2),f=Math.floor(f/2),l=this.tiles[kt(u,c,f)];return l&&l.source?(a>1&&console.log("found parent tile z%d-%d-%d",u,c,f),a>1&&console.time("drilling down"),this.splitTile(l.source,u,c,f,t,e,r),a>1&&console.timeEnd("drilling down"),this.tiles[s]?mt(this.tiles[s],i):null):null};var Mt=function(e){function r(t,r,n,i){e.call(this,t,r,n,At),i&&(this.loadGeoJSON=i)}return e&&(r.__proto__=e),r.prototype=Object.create(e&&e.prototype),r.prototype.constructor=r,r.prototype.loadData=function(t,e){this._pendingCallback&&this._pendingCallback(null,{abandoned:!0}),this._pendingCallback=e,this._pendingLoadDataParams=t,this._state&&"Idle"!==this._state?this._state="NeedsLoadData":(this._state="Coalescing",this._loadData())},r.prototype._loadData=function(){var e=this;if(this._pendingCallback&&this._pendingLoadDataParams){var r=this._pendingCallback,n=this._pendingLoadDataParams;delete this._pendingCallback,delete this._pendingLoadDataParams;var i=!!(n&&n.request&&n.request.collectResourceTiming)&&new t.RequestPerformance(n.request);this.loadGeoJSON(n,(function(a,o){if(a||!o)return r(a);if("object"!=typeof o)return r(new Error("Input data given to '"+n.source+"' is not a valid GeoJSON object."));f(o,!0);try{if(n.filter){var s=t.createExpression(n.filter,{type:"boolean","property-type":"data-driven",overridable:!1,transition:!1});if("error"===s.result)throw new Error(s.value.map((function(t){return t.key+": "+t.message})).join(", "));var l=o.features.filter((function(t){return s.value.evaluate({zoom:0},t)}));o={type:"FeatureCollection",features:l}}e._geoJSONIndex=n.cluster?new V(function(e){var r=e.superclusterOptions,n=e.clusterProperties;if(!n||!r)return r;for(var i={},a={},o={accumulated:null,zoom:0},s={properties:null},l=Object.keys(n),u=0,c=l;u=0?0:e.button},r.remove=function(t){t.parentNode&&t.parentNode.removeChild(t)};var h=function(e){function r(){e.call(this),this.images={},this.updatedImages={},this.callbackDispatchedThisFrame={},this.loaded=!1,this.requestors=[],this.patterns={},this.atlasImage=new t.RGBAImage({width:1,height:1}),this.dirty=!0}return e&&(r.__proto__=e),r.prototype=Object.create(e&&e.prototype),r.prototype.constructor=r,r.prototype.isLoaded=function(){return this.loaded},r.prototype.setLoaded=function(t){if(this.loaded!==t&&(this.loaded=t,t)){for(var e=0,r=this.requestors;e=0?1.2:1))}function y(t,e,r,n,i,a,o){for(var s=0;s65535)e(new Error("glyphs > 65535 not supported"));else if(a.ranges[s])e(null,{stack:r,id:i,glyph:o});else{var l=a.requests[s];l||(l=a.requests[s]=[],x.loadGlyphRange(r,s,n.url,n.requestManager,(function(t,e){if(e){for(var r in e)n._doesCharSupportLocalGlyph(+r)||(a.glyphs[+r]=e[+r]);a.ranges[s]=!0}for(var i=0,o=l;i1&&(l=t[++s]);var c=Math.abs(u-l.left),f=Math.abs(u-l.right),h=Math.min(c,f),p=void 0,d=i/r*(n+1);if(l.isDash){var v=n-Math.abs(d);p=Math.sqrt(h*h+v*v)}else p=n-Math.sqrt(h*h+d*d);this.data[o+u]=Math.max(0,Math.min(255,p+128))}},k.prototype.addRegularDash=function(t){for(var e=t.length-1;e>=0;--e){var r=t[e],n=t[e+1];r.zeroLength?t.splice(e,1):n&&n.isDash===r.isDash&&(n.left=r.left,t.splice(e,1))}var i=t[0],a=t[t.length-1];i.isDash===a.isDash&&(i.left=a.left-this.width,a.right=i.right+this.width);for(var o=this.width*this.nextRow,s=0,l=t[s],u=0;u1&&(l=t[++s]);var c=Math.abs(u-l.left),f=Math.abs(u-l.right),h=Math.min(c,f),p=l.isDash?h:-h;this.data[o+u]=Math.max(0,Math.min(255,p+128))}},k.prototype.addDash=function(e,r){var n=r?7:0,i=2*n+1;if(this.nextRow+i>this.height)return t.warnOnce("LineAtlas out of space"),null;for(var a=0,o=0;o=n&&e.x=i&&e.y0&&(l[new t.OverscaledTileID(e.overscaledZ,a,r.z,i,r.y-1).key]={backfilled:!1},l[new t.OverscaledTileID(e.overscaledZ,e.wrap,r.z,r.x,r.y-1).key]={backfilled:!1},l[new t.OverscaledTileID(e.overscaledZ,s,r.z,o,r.y-1).key]={backfilled:!1}),r.y+10&&(n.resourceTiming=e._resourceTiming,e._resourceTiming=[]),e.fire(new t.Event("data",n))}}))},r.prototype.onAdd=function(t){this.map=t,this.load()},r.prototype.setData=function(e){var r=this;return this._data=e,this.fire(new t.Event("dataloading",{dataType:"source"})),this._updateWorkerData((function(e){if(e)r.fire(new t.ErrorEvent(e));else{var n={dataType:"source",sourceDataType:"content"};r._collectResourceTiming&&r._resourceTiming&&r._resourceTiming.length>0&&(n.resourceTiming=r._resourceTiming,r._resourceTiming=[]),r.fire(new t.Event("data",n))}})),this},r.prototype.getClusterExpansionZoom=function(t,e){return this.actor.send("geojson.getClusterExpansionZoom",{clusterId:t,source:this.id},e),this},r.prototype.getClusterChildren=function(t,e){return this.actor.send("geojson.getClusterChildren",{clusterId:t,source:this.id},e),this},r.prototype.getClusterLeaves=function(t,e,r,n){return this.actor.send("geojson.getClusterLeaves",{source:this.id,clusterId:t,limit:e,offset:r},n),this},r.prototype._updateWorkerData=function(e){var r=this;this._loaded=!1;var n=t.extend({},this.workerOptions),i=this._data;"string"==typeof i?(n.request=this.map._requestManager.transformRequest(t.browser.resolveURL(i),t.ResourceType.Source),n.request.collectResourceTiming=this._collectResourceTiming):n.data=JSON.stringify(i),this.actor.send(this.type+".loadData",n,(function(t,i){r._removed||i&&i.abandoned||(r._loaded=!0,i&&i.resourceTiming&&i.resourceTiming[r.id]&&(r._resourceTiming=i.resourceTiming[r.id].slice(0)),r.actor.send(r.type+".coalesce",{source:n.source},null),e(t))}))},r.prototype.loaded=function(){return this._loaded},r.prototype.loadTile=function(e,r){var n=this,i=e.actor?"reloadTile":"loadTile";e.actor=this.actor;var a={type:this.type,uid:e.uid,tileID:e.tileID,zoom:e.tileID.overscaledZ,maxZoom:this.maxzoom,tileSize:this.tileSize,source:this.id,pixelRatio:t.browser.devicePixelRatio,showCollisionBoxes:this.map.showCollisionBoxes,promoteId:this.promoteId};e.request=this.actor.send(i,a,(function(t,a){return delete e.request,e.unloadVectorData(),e.aborted?r(null):t?r(t):(e.loadVectorData(a,n.map.painter,"reloadTile"===i),r(null))}))},r.prototype.abortTile=function(t){t.request&&(t.request.cancel(),delete t.request),t.aborted=!0},r.prototype.unloadTile=function(t){t.unloadVectorData(),this.actor.send("removeTile",{uid:t.uid,type:this.type,source:this.id})},r.prototype.onRemove=function(){this._removed=!0,this.actor.send("removeSource",{type:this.type,source:this.id})},r.prototype.serialize=function(){return t.extend({},this._options,{type:this.type,data:this._data})},r.prototype.hasTransition=function(){return!1},r}(t.Evented),O=t.createLayout([{name:"a_pos",type:"Int16",components:2},{name:"a_texture_pos",type:"Int16",components:2}]),I=function(e){function r(t,r,n,i){e.call(this),this.id=t,this.dispatcher=n,this.coordinates=r.coordinates,this.type="image",this.minzoom=0,this.maxzoom=22,this.tileSize=512,this.tiles={},this._loaded=!1,this.setEventedParent(i),this.options=r}return e&&(r.__proto__=e),r.prototype=Object.create(e&&e.prototype),r.prototype.constructor=r,r.prototype.load=function(e,r){var n=this;this._loaded=!1,this.fire(new t.Event("dataloading",{dataType:"source"})),this.url=this.options.url,t.getImage(this.map._requestManager.transformRequest(this.url,t.ResourceType.Image),(function(i,a){n._loaded=!0,i?n.fire(new t.ErrorEvent(i)):a&&(n.image=a,e&&(n.coordinates=e),r&&r(),n._finishLoading())}))},r.prototype.loaded=function(){return this._loaded},r.prototype.updateImage=function(t){var e=this;return this.image&&t.url?(this.options.url=t.url,this.load(t.coordinates,(function(){e.texture=null})),this):this},r.prototype._finishLoading=function(){this.map&&(this.setCoordinates(this.coordinates),this.fire(new t.Event("data",{dataType:"source",sourceDataType:"metadata"})))},r.prototype.onAdd=function(t){this.map=t,this.load()},r.prototype.setCoordinates=function(e){var r=this;this.coordinates=e;var n=e.map(t.MercatorCoordinate.fromLngLat);this.tileID=function(e){for(var r=1/0,n=1/0,i=-1/0,a=-1/0,o=0,s=e;or.end(0)?this.fire(new t.ErrorEvent(new t.ValidationError("sources."+this.id,null,"Playback for this video can be set only between the "+r.start(0)+" and "+r.end(0)+"-second mark."))):this.video.currentTime=e}},r.prototype.getVideo=function(){return this.video},r.prototype.onAdd=function(t){this.map||(this.map=t,this.load(),this.video&&(this.video.play(),this.setCoordinates(this.coordinates)))},r.prototype.prepare=function(){if(!(0===Object.keys(this.tiles).length||this.video.readyState<2)){var e=this.map.painter.context,r=e.gl;for(var n in this.boundsBuffer||(this.boundsBuffer=e.createVertexBuffer(this._boundsArray,O.members)),this.boundsSegments||(this.boundsSegments=t.SegmentVector.simpleSegment(0,0,4,2)),this.texture?this.video.paused||(this.texture.bind(r.LINEAR,r.CLAMP_TO_EDGE),r.texSubImage2D(r.TEXTURE_2D,0,0,0,r.RGBA,r.UNSIGNED_BYTE,this.video)):(this.texture=new t.Texture(e,this.video,r.RGBA),this.texture.bind(r.LINEAR,r.CLAMP_TO_EDGE)),this.tiles){var i=this.tiles[n];"loaded"!==i.state&&(i.state="loaded",i.texture=this.texture)}}},r.prototype.serialize=function(){return{type:"video",urls:this.urls,coordinates:this.coordinates}},r.prototype.hasTransition=function(){return this.video&&!this.video.paused},r}(I),z=function(e){function r(r,n,i,a){e.call(this,r,n,i,a),n.coordinates?Array.isArray(n.coordinates)&&4===n.coordinates.length&&!n.coordinates.some((function(t){return!Array.isArray(t)||2!==t.length||t.some((function(t){return"number"!=typeof t}))}))||this.fire(new t.ErrorEvent(new t.ValidationError("sources."+r,null,'"coordinates" property must be an array of 4 longitude/latitude array pairs'))):this.fire(new t.ErrorEvent(new t.ValidationError("sources."+r,null,'missing required property "coordinates"'))),n.animate&&"boolean"!=typeof n.animate&&this.fire(new t.ErrorEvent(new t.ValidationError("sources."+r,null,'optional "animate" property must be a boolean value'))),n.canvas?"string"==typeof n.canvas||n.canvas instanceof t.window.HTMLCanvasElement||this.fire(new t.ErrorEvent(new t.ValidationError("sources."+r,null,'"canvas" must be either a string representing the ID of the canvas element from which to read, or an HTMLCanvasElement instance'))):this.fire(new t.ErrorEvent(new t.ValidationError("sources."+r,null,'missing required property "canvas"'))),this.options=n,this.animate=void 0===n.animate||n.animate}return e&&(r.__proto__=e),r.prototype=Object.create(e&&e.prototype),r.prototype.constructor=r,r.prototype.load=function(){this._loaded=!0,this.canvas||(this.canvas=this.options.canvas instanceof t.window.HTMLCanvasElement?this.options.canvas:t.window.document.getElementById(this.options.canvas)),this.width=this.canvas.width,this.height=this.canvas.height,this._hasInvalidDimensions()?this.fire(new t.ErrorEvent(new Error("Canvas dimensions cannot be less than or equal to zero."))):(this.play=function(){this._playing=!0,this.map.triggerRepaint()},this.pause=function(){this._playing&&(this.prepare(),this._playing=!1)},this._finishLoading())},r.prototype.getCanvas=function(){return this.canvas},r.prototype.onAdd=function(t){this.map=t,this.load(),this.canvas&&this.animate&&this.play()},r.prototype.onRemove=function(){this.pause()},r.prototype.prepare=function(){var e=!1;if(this.canvas.width!==this.width&&(this.width=this.canvas.width,e=!0),this.canvas.height!==this.height&&(this.height=this.canvas.height,e=!0),!this._hasInvalidDimensions()&&0!==Object.keys(this.tiles).length){var r=this.map.painter.context,n=r.gl;for(var i in this.boundsBuffer||(this.boundsBuffer=r.createVertexBuffer(this._boundsArray,O.members)),this.boundsSegments||(this.boundsSegments=t.SegmentVector.simpleSegment(0,0,4,2)),this.texture?(e||this._playing)&&this.texture.update(this.canvas,{premultiply:!0}):this.texture=new t.Texture(r,this.canvas,n.RGBA,{premultiply:!0}),this.tiles){var a=this.tiles[i];"loaded"!==a.state&&(a.state="loaded",a.texture=this.texture)}}},r.prototype.serialize=function(){return{type:"canvas",coordinates:this.coordinates}},r.prototype.hasTransition=function(){return this._playing},r.prototype._hasInvalidDimensions=function(){for(var t=0,e=[this.canvas.width,this.canvas.height];tthis.max){var o=this._getAndRemoveByKey(this.order[0]);o&&this.onRemove(o)}return this},j.prototype.has=function(t){return t.wrapped().key in this.data},j.prototype.getAndRemove=function(t){return this.has(t)?this._getAndRemoveByKey(t.wrapped().key):null},j.prototype._getAndRemoveByKey=function(t){var e=this.data[t].shift();return e.timeout&&clearTimeout(e.timeout),0===this.data[t].length&&delete this.data[t],this.order.splice(this.order.indexOf(t),1),e.value},j.prototype.getByKey=function(t){var e=this.data[t];return e?e[0].value:null},j.prototype.get=function(t){return this.has(t)?this.data[t.wrapped().key][0].value:null},j.prototype.remove=function(t,e){if(!this.has(t))return this;var r=t.wrapped().key,n=void 0===e?0:this.data[r].indexOf(e),i=this.data[r][n];return this.data[r].splice(n,1),i.timeout&&clearTimeout(i.timeout),0===this.data[r].length&&delete this.data[r],this.onRemove(i.value),this.order.splice(this.order.indexOf(r),1),this},j.prototype.setMaxSize=function(t){for(this.max=t;this.order.length>this.max;){var e=this._getAndRemoveByKey(this.order[0]);e&&this.onRemove(e)}return this},j.prototype.filter=function(t){var e=[];for(var r in this.data)for(var n=0,i=this.data[r];n1||(Math.abs(r)>1&&(1===Math.abs(r+i)?r+=i:1===Math.abs(r-i)&&(r-=i)),e.dem&&t.dem&&(t.dem.backfillBorder(e.dem,r,n),t.neighboringTiles&&t.neighboringTiles[a]&&(t.neighboringTiles[a].backfilled=!0)))}},r.prototype.getTile=function(t){return this.getTileByID(t.key)},r.prototype.getTileByID=function(t){return this._tiles[t]},r.prototype._retainLoadedChildren=function(t,e,r,n){for(var i in this._tiles){var a=this._tiles[i];if(!(n[i]||!a.hasData()||a.tileID.overscaledZ<=e||a.tileID.overscaledZ>r)){for(var o=a.tileID;a&&a.tileID.overscaledZ>e+1;){var s=a.tileID.scaledTo(a.tileID.overscaledZ-1);(a=this._tiles[s.key])&&a.hasData()&&(o=s)}for(var l=o;l.overscaledZ>e;)if(t[(l=l.scaledTo(l.overscaledZ-1)).key]){n[o.key]=o;break}}}},r.prototype.findLoadedParent=function(t,e){if(t.key in this._loadedParentTiles){var r=this._loadedParentTiles[t.key];return r&&r.tileID.overscaledZ>=e?r:null}for(var n=t.overscaledZ-1;n>=e;n--){var i=t.scaledTo(n),a=this._getLoadedTile(i);if(a)return a}},r.prototype._getLoadedTile=function(t){var e=this._tiles[t.key];return e&&e.hasData()?e:this._cache.getByKey(t.wrapped().key)},r.prototype.updateCacheSize=function(t){var e=(Math.ceil(t.width/this._source.tileSize)+1)*(Math.ceil(t.height/this._source.tileSize)+1),r=Math.floor(5*e),n="number"==typeof this._maxTileCacheSize?Math.min(this._maxTileCacheSize,r):r;this._cache.setMaxSize(n)},r.prototype.handleWrapJump=function(t){var e=(t-(void 0===this._prevLng?t:this._prevLng))/360,r=Math.round(e);if(this._prevLng=t,r){var n={};for(var i in this._tiles){var a=this._tiles[i];a.tileID=a.tileID.unwrapTo(a.tileID.wrap+r),n[a.tileID.key]=a}for(var o in this._tiles=n,this._timers)clearTimeout(this._timers[o]),delete this._timers[o];for(var s in this._tiles){var l=this._tiles[s];this._setTileReloadTimer(s,l)}}},r.prototype.update=function(e){var n=this;if(this.transform=e,this._sourceLoaded&&!this._paused){var i;this.updateCacheSize(e),this.handleWrapJump(this.transform.center.lng),this._coveredTiles={},this.used?this._source.tileID?i=e.getVisibleUnwrappedCoordinates(this._source.tileID).map((function(e){return new t.OverscaledTileID(e.canonical.z,e.wrap,e.canonical.z,e.canonical.x,e.canonical.y)})):(i=e.coveringTiles({tileSize:this._source.tileSize,minzoom:this._source.minzoom,maxzoom:this._source.maxzoom,roundZoom:this._source.roundZoom,reparseOverscaled:this._source.reparseOverscaled}),this._source.hasTile&&(i=i.filter((function(t){return n._source.hasTile(t)})))):i=[];var a=e.coveringZoomLevel(this._source),o=Math.max(a-r.maxOverzooming,this._source.minzoom),s=Math.max(a+r.maxUnderzooming,this._source.minzoom),l=this._updateRetainedTiles(i,a);if(Dt(this._source.type)){for(var u={},c={},f=0,h=Object.keys(l);fthis._source.maxzoom){var g=d.children(this._source.maxzoom)[0],y=this.getTile(g);if(y&&y.hasData()){n[g.key]=g;continue}}else{var m=d.children(this._source.maxzoom);if(n[m[0].key]&&n[m[1].key]&&n[m[2].key]&&n[m[3].key])continue}for(var x=v.wasRequested(),b=d.overscaledZ-1;b>=a;--b){var _=d.scaledTo(b);if(i[_.key])break;if(i[_.key]=!0,!(v=this.getTile(_))&&x&&(v=this._addTile(_)),v&&(n[_.key]=_,x=v.wasRequested(),v.hasData()))break}}}return n},r.prototype._updateLoadedParentTileCache=function(){for(var t in this._loadedParentTiles={},this._tiles){for(var e=[],r=void 0,n=this._tiles[t].tileID;n.overscaledZ>0;){if(n.key in this._loadedParentTiles){r=this._loadedParentTiles[n.key];break}e.push(n.key);var i=n.scaledTo(n.overscaledZ-1);if(r=this._getLoadedTile(i))break;n=i}for(var a=0,o=e;a0||(e.hasData()&&"reloading"!==e.state?this._cache.add(e.tileID,e,e.getExpiryTimeout()):(e.aborted=!0,this._abortTile(e),this._unloadTile(e))))},r.prototype.clearTiles=function(){for(var t in this._shouldReloadOnResume=!1,this._paused=!1,this._tiles)this._removeTile(t);this._cache.reset()},r.prototype.tilesIn=function(e,r,n){var i=this,a=[],o=this.transform;if(!o)return a;for(var s=n?o.getCameraQueryGeometry(e):e,l=e.map((function(t){return o.pointCoordinate(t)})),u=s.map((function(t){return o.pointCoordinate(t)})),c=this.getIds(),f=1/0,h=1/0,p=-1/0,d=-1/0,v=0,g=u;v=0&&y[1].y+g>=0){var m=l.map((function(t){return s.getTilePoint(t)})),x=u.map((function(t){return s.getTilePoint(t)}));a.push({tile:n,tileID:s,queryGeometry:m,cameraQueryGeometry:x,scale:v})}}},x=0;x=t.browser.now())return!0}return!1},r.prototype.setFeatureState=function(t,e,r){t=t||"_geojsonTileLayer",this._state.updateState(t,e,r)},r.prototype.removeFeatureState=function(t,e,r){t=t||"_geojsonTileLayer",this._state.removeFeatureState(t,e,r)},r.prototype.getFeatureState=function(t,e){return t=t||"_geojsonTileLayer",this._state.getState(t,e)},r.prototype.setDependencies=function(t,e,r){var n=this._tiles[t];n&&n.setDependencies(e,r)},r.prototype.reloadTilesForDependencies=function(t,e){for(var r in this._tiles)this._tiles[r].hasDependency(t,e)&&this._reloadTile(r,"reloading");this._cache.filter((function(r){return!r.hasDependency(t,e)}))},r}(t.Evented);function It(t,e){var r=Math.abs(2*t.wrap)-+(t.wrap<0),n=Math.abs(2*e.wrap)-+(e.wrap<0);return t.overscaledZ-e.overscaledZ||n-r||e.canonical.y-t.canonical.y||e.canonical.x-t.canonical.x}function Dt(t){return"raster"===t||"image"===t||"video"===t}function zt(){return new t.window.Worker(oa.workerUrl)}Ot.maxOverzooming=10,Ot.maxUnderzooming=3;var Rt="mapboxgl_preloaded_worker_pool",Ft=function(){this.active={}};Ft.prototype.acquire=function(t){if(!this.workers)for(this.workers=[];this.workers.length0?(i-o)/s:0;return this.points[a].mult(1-l).add(this.points[r].mult(l))};var Qt=function(t,e,r){var n=this.boxCells=[],i=this.circleCells=[];this.xCellCount=Math.ceil(t/r),this.yCellCount=Math.ceil(e/r);for(var a=0;a=-e[0]&&r<=e[0]&&n>=-e[1]&&n<=e[1]}function ae(e,r,n,i,a,o,s,l){var u=i?e.textSizeData:e.iconSizeData,c=t.evaluateSizeForZoom(u,n.transform.zoom),f=[256/n.width*2+1,256/n.height*2+1],h=i?e.text.dynamicLayoutVertexArray:e.icon.dynamicLayoutVertexArray;h.clear();for(var p=e.lineVertexArray,d=i?e.text.placedSymbolArray:e.icon.placedSymbolArray,v=n.transform.width/n.transform.height,g=!1,y=0;yMath.abs(n.x-r.x)*i?{useVertical:!0}:(e===t.WritingMode.vertical?r.yn.x)?{needsFlipping:!0}:null}function le(e,r,n,i,a,o,s,l,u,c,f,h,p,d){var v,g=r/24,y=e.lineOffsetX*g,m=e.lineOffsetY*g;if(e.numGlyphs>1){var x=e.glyphStartIndex+e.numGlyphs,b=e.lineStartIndex,_=e.lineStartIndex+e.lineLength,w=oe(g,l,y,m,n,f,h,e,u,o,p);if(!w)return{notEnoughRoom:!0};var T=re(w.first.point,s).point,k=re(w.last.point,s).point;if(i&&!n){var A=se(e.writingMode,T,k,d);if(A)return A}v=[w.first];for(var M=e.glyphStartIndex+1;M0?C.point:ue(h,L,S,1,a),O=se(e.writingMode,S,P,d);if(O)return O}var I=ce(g*l.getoffsetX(e.glyphStartIndex),y,m,n,f,h,e.segment,e.lineStartIndex,e.lineStartIndex+e.lineLength,u,o,p);if(!I)return{notEnoughRoom:!0};v=[I]}for(var D=0,z=v;D0?1:-1,v=0;i&&(d*=-1,v=Math.PI),d<0&&(v+=Math.PI);for(var g=d>0?l+s:l+s+1,y=a,m=a,x=0,b=0,_=Math.abs(p),w=[];x+b<=_;){if((g+=d)=u)return null;if(m=y,w.push(y),void 0===(y=h[g])){var T=new t.Point(c.getx(g),c.gety(g)),k=re(T,f);if(k.signedDistanceFromCamera>0)y=h[g]=k.point;else{var A=g-d;y=ue(0===x?o:new t.Point(c.getx(A),c.gety(A)),T,m,_-x+1,f)}}x+=b,b=m.dist(y)}var M=(_-x)/b,S=y.sub(m),E=S.mult(M)._add(m);E._add(S._unit()._perp()._mult(n*d));var L=v+Math.atan2(y.y-m.y,y.x-m.x);return w.push(E),{point:E,angle:L,path:w}}Qt.prototype.keysLength=function(){return this.boxKeys.length+this.circleKeys.length},Qt.prototype.insert=function(t,e,r,n,i){this._forEachCell(e,r,n,i,this._insertBoxCell,this.boxUid++),this.boxKeys.push(t),this.bboxes.push(e),this.bboxes.push(r),this.bboxes.push(n),this.bboxes.push(i)},Qt.prototype.insertCircle=function(t,e,r,n){this._forEachCell(e-n,r-n,e+n,r+n,this._insertCircleCell,this.circleUid++),this.circleKeys.push(t),this.circles.push(e),this.circles.push(r),this.circles.push(n)},Qt.prototype._insertBoxCell=function(t,e,r,n,i,a){this.boxCells[i].push(a)},Qt.prototype._insertCircleCell=function(t,e,r,n,i,a){this.circleCells[i].push(a)},Qt.prototype._query=function(t,e,r,n,i,a){if(r<0||t>this.width||n<0||e>this.height)return!i&&[];var o=[];if(t<=0&&e<=0&&this.width<=r&&this.height<=n){if(i)return!0;for(var s=0;s0:o},Qt.prototype._queryCircle=function(t,e,r,n,i){var a=t-r,o=t+r,s=e-r,l=e+r;if(o<0||a>this.width||l<0||s>this.height)return!n&&[];var u=[],c={hitTest:n,circle:{x:t,y:e,radius:r},seenUids:{box:{},circle:{}}};return this._forEachCell(a,s,o,l,this._queryCellCircle,u,c,i),n?u.length>0:u},Qt.prototype.query=function(t,e,r,n,i){return this._query(t,e,r,n,!1,i)},Qt.prototype.hitTest=function(t,e,r,n,i){return this._query(t,e,r,n,!0,i)},Qt.prototype.hitTestCircle=function(t,e,r,n){return this._queryCircle(t,e,r,!0,n)},Qt.prototype._queryCell=function(t,e,r,n,i,a,o,s){var l=o.seenUids,u=this.boxCells[i];if(null!==u)for(var c=this.bboxes,f=0,h=u;f=c[d+0]&&n>=c[d+1]&&(!s||s(this.boxKeys[p]))){if(o.hitTest)return a.push(!0),!0;a.push({key:this.boxKeys[p],x1:c[d],y1:c[d+1],x2:c[d+2],y2:c[d+3]})}}}var v=this.circleCells[i];if(null!==v)for(var g=this.circles,y=0,m=v;yo*o+s*s},Qt.prototype._circleAndRectCollide=function(t,e,r,n,i,a,o){var s=(a-n)/2,l=Math.abs(t-(n+s));if(l>s+r)return!1;var u=(o-i)/2,c=Math.abs(e-(i+u));if(c>u+r)return!1;if(l<=s||c<=u)return!0;var f=l-s,h=c-u;return f*f+h*h<=r*r};var fe=new Float32Array([-1/0,-1/0,0,-1/0,-1/0,0,-1/0,-1/0,0,-1/0,-1/0,0]);function he(t,e){for(var r=0;r=1;P--)C.push(E.path[P]);for(var O=1;O0){for(var R=C[0].clone(),F=C[0].clone(),B=1;B=A.x&&F.x<=M.x&&R.y>=A.y&&F.y<=M.y?[C]:F.xM.x||F.yM.y?[]:t.clipLine([C],A.x,A.y,M.x,M.y)}for(var N=0,j=z;N=this.screenRightBoundary||nthis.screenBottomBoundary},ve.prototype.isInsideGrid=function(t,e,r,n){return r>=0&&t=0&&e0?(this.prevPlacement&&this.prevPlacement.variableOffsets[f.crossTileID]&&this.prevPlacement.placements[f.crossTileID]&&this.prevPlacement.placements[f.crossTileID].text&&(v=this.prevPlacement.variableOffsets[f.crossTileID].anchor),this.variableOffsets[f.crossTileID]={textOffset:g,width:r,height:n,anchor:t,textBoxScale:i,prevAnchor:v},this.markUsedJustification(h,t,f,p),h.allowVerticalPlacement&&(this.markUsedOrientation(h,p,f),this.placedOrientations[f.crossTileID]=p),{shift:y,placedGlyphBoxes:m}):void 0},Ae.prototype.placeLayerBucketPart=function(e,r,n){var i=this,a=e.parameters,o=a.bucket,s=a.layout,l=a.posMatrix,u=a.textLabelPlaneMatrix,c=a.labelToScreenMatrix,f=a.textPixelRatio,h=a.holdingForFade,p=a.collisionBoxArray,d=a.partiallyEvaluatedTextSize,v=a.collisionGroup,g=s.get("text-optional"),y=s.get("icon-optional"),m=s.get("text-allow-overlap"),x=s.get("icon-allow-overlap"),b="map"===s.get("text-rotation-alignment"),_="map"===s.get("text-pitch-alignment"),w="none"!==s.get("icon-text-fit"),T="viewport-y"===s.get("symbol-z-order"),k=m&&(x||!o.hasIconData()||y),A=x&&(m||!o.hasTextData()||g);!o.collisionArrays&&p&&o.deserializeCollisionBoxes(p);var M=function(e,a){if(!r[e.crossTileID])if(h)i.placements[e.crossTileID]=new xe(!1,!1,!1);else{var p,T=!1,M=!1,S=!0,E=null,L={box:null,offscreen:null},C={box:null,offscreen:null},P=null,O=null,I=0,D=0,z=0;a.textFeatureIndex?I=a.textFeatureIndex:e.useRuntimeCollisionCircles&&(I=e.featureIndex),a.verticalTextFeatureIndex&&(D=a.verticalTextFeatureIndex);var R=a.textBox;if(R){var F=function(r){var n=t.WritingMode.horizontal;if(o.allowVerticalPlacement&&!r&&i.prevPlacement){var a=i.prevPlacement.placedOrientations[e.crossTileID];a&&(i.placedOrientations[e.crossTileID]=a,n=a,i.markUsedOrientation(o,n,e))}return n},B=function(r,n){if(o.allowVerticalPlacement&&e.numVerticalGlyphVertices>0&&a.verticalTextBox)for(var i=0,s=o.writingModes;i0&&(N=N.filter((function(t){return t!==j.anchor}))).unshift(j.anchor)}var U=function(t,r,n){for(var a=t.x2-t.x1,s=t.y2-t.y1,u=e.textBoxScale,c=w&&!x?r:null,h={box:[],offscreen:!1},p=m?2*N.length:N.length,d=0;d=N.length,k=i.attemptAnchorPlacement(g,t,a,s,u,b,_,f,l,v,y,e,o,n,c);if(k&&(h=k.placedGlyphBoxes)&&h.box&&h.box.length){T=!0,E=k.shift;break}}return h};B((function(){return U(R,a.iconBox,t.WritingMode.horizontal)}),(function(){var r=a.verticalTextBox,n=L&&L.box&&L.box.length;return o.allowVerticalPlacement&&!n&&e.numVerticalGlyphVertices>0&&r?U(r,a.verticalIconBox,t.WritingMode.vertical):{box:null,offscreen:null}})),L&&(T=L.box,S=L.offscreen);var V=F(L&&L.box);if(!T&&i.prevPlacement){var q=i.prevPlacement.variableOffsets[e.crossTileID];q&&(i.variableOffsets[e.crossTileID]=q,i.markUsedJustification(o,q.anchor,e,V))}}else{var H=function(t,r){var n=i.collisionIndex.placeCollisionBox(t,m,f,l,v.predicate);return n&&n.box&&n.box.length&&(i.markUsedOrientation(o,r,e),i.placedOrientations[e.crossTileID]=r),n};B((function(){return H(R,t.WritingMode.horizontal)}),(function(){var r=a.verticalTextBox;return o.allowVerticalPlacement&&e.numVerticalGlyphVertices>0&&r?H(r,t.WritingMode.vertical):{box:null,offscreen:null}})),F(L&&L.box&&L.box.length)}}if(T=(p=L)&&p.box&&p.box.length>0,S=p&&p.offscreen,e.useRuntimeCollisionCircles){var G=o.text.placedSymbolArray.get(e.centerJustifiedTextSymbolIndex),W=t.evaluateSizeForFeature(o.textSizeData,d,G),Y=s.get("text-padding"),X=e.collisionCircleDiameter;P=i.collisionIndex.placeCollisionCircles(m,G,o.lineVertexArray,o.glyphOffsetArray,W,l,u,c,n,_,v.predicate,X,Y),T=m||P.circles.length>0&&!P.collisionDetected,S=S&&P.offscreen}if(a.iconFeatureIndex&&(z=a.iconFeatureIndex),a.iconBox){var Z=function(t){var e=w&&E?ke(t,E.x,E.y,b,_,i.transform.angle):t;return i.collisionIndex.placeCollisionBox(e,x,f,l,v.predicate)};M=C&&C.box&&C.box.length&&a.verticalIconBox?(O=Z(a.verticalIconBox)).box.length>0:(O=Z(a.iconBox)).box.length>0,S=S&&O.offscreen}var K=g||0===e.numHorizontalGlyphVertices&&0===e.numVerticalGlyphVertices,J=y||0===e.numIconVertices;if(K||J?J?K||(M=M&&T):T=M&&T:M=T=M&&T,T&&p&&p.box&&(C&&C.box&&D?i.collisionIndex.insertCollisionBox(p.box,s.get("text-ignore-placement"),o.bucketInstanceId,D,v.ID):i.collisionIndex.insertCollisionBox(p.box,s.get("text-ignore-placement"),o.bucketInstanceId,I,v.ID)),M&&O&&i.collisionIndex.insertCollisionBox(O.box,s.get("icon-ignore-placement"),o.bucketInstanceId,z,v.ID),P&&(T&&i.collisionIndex.insertCollisionCircles(P.circles,s.get("text-ignore-placement"),o.bucketInstanceId,I,v.ID),n)){var $=o.bucketInstanceId,Q=i.collisionCircleArrays[$];void 0===Q&&(Q=i.collisionCircleArrays[$]=new be);for(var tt=0;tt=0;--E){var L=S[E];M(o.symbolInstances.get(L),o.collisionArrays[L])}else for(var C=e.symbolInstanceStart;C=0&&(e.text.placedSymbolArray.get(u).crossTileID=a>=0&&u!==a?0:n.crossTileID)}},Ae.prototype.markUsedOrientation=function(e,r,n){for(var i=r===t.WritingMode.horizontal||r===t.WritingMode.horizontalOnly?r:0,a=r===t.WritingMode.vertical?r:0,o=0,s=[n.leftJustifiedTextSymbolIndex,n.centerJustifiedTextSymbolIndex,n.rightJustifiedTextSymbolIndex];o0||l>0,x=a.numIconVertices>0,b=i.placedOrientations[a.crossTileID],_=b===t.WritingMode.vertical,w=b===t.WritingMode.horizontal||b===t.WritingMode.horizontalOnly;if(m){var T=De(y.text),k=_?ze:T;d(e.text,s,k);var A=w?ze:T;d(e.text,l,A);var M=y.text.isHidden();[a.rightJustifiedTextSymbolIndex,a.centerJustifiedTextSymbolIndex,a.leftJustifiedTextSymbolIndex].forEach((function(t){t>=0&&(e.text.placedSymbolArray.get(t).hidden=M||_?1:0)})),a.verticalPlacedTextSymbolIndex>=0&&(e.text.placedSymbolArray.get(a.verticalPlacedTextSymbolIndex).hidden=M||w?1:0);var S=i.variableOffsets[a.crossTileID];S&&i.markUsedJustification(e,S.anchor,a,b);var E=i.placedOrientations[a.crossTileID];E&&(i.markUsedJustification(e,"left",a,E),i.markUsedOrientation(e,E,a))}if(x){var L=De(y.icon),C=!(h&&a.verticalPlacedIconSymbolIndex&&_);if(a.placedIconSymbolIndex>=0){var P=C?L:ze;d(e.icon,a.numIconVertices,P),e.icon.placedSymbolArray.get(a.placedIconSymbolIndex).hidden=y.icon.isHidden()}if(a.verticalPlacedIconSymbolIndex>=0){var O=C?ze:L;d(e.icon,a.numVerticalIconVertices,O),e.icon.placedSymbolArray.get(a.verticalPlacedIconSymbolIndex).hidden=y.icon.isHidden()}}if(e.hasIconCollisionBoxData()||e.hasTextCollisionBoxData()){var I=e.collisionArrays[n];if(I){var D=new t.Point(0,0);if(I.textBox||I.verticalTextBox){var z=!0;if(u){var R=i.variableOffsets[v];R?(D=Te(R.anchor,R.width,R.height,R.textOffset,R.textBoxScale),c&&D._rotate(f?i.transform.angle:-i.transform.angle)):z=!1}I.textBox&&Me(e.textCollisionBox.collisionVertexArray,y.text.placed,!z||_,D.x,D.y),I.verticalTextBox&&Me(e.textCollisionBox.collisionVertexArray,y.text.placed,!z||w,D.x,D.y)}var F=Boolean(!w&&I.verticalIconBox);I.iconBox&&Me(e.iconCollisionBox.collisionVertexArray,y.icon.placed,F,h?D.x:0,h?D.y:0),I.verticalIconBox&&Me(e.iconCollisionBox.collisionVertexArray,y.icon.placed,!F,h?D.x:0,h?D.y:0)}}},g=0;gt},Ae.prototype.setStale=function(){this.stale=!0};var Se=Math.pow(2,25),Ee=Math.pow(2,24),Le=Math.pow(2,17),Ce=Math.pow(2,16),Pe=Math.pow(2,9),Oe=Math.pow(2,8),Ie=Math.pow(2,1);function De(t){if(0===t.opacity&&!t.placed)return 0;if(1===t.opacity&&t.placed)return 4294967295;var e=t.placed?1:0,r=Math.floor(127*t.opacity);return r*Se+e*Ee+r*Le+e*Ce+r*Pe+e*Oe+r*Ie+e}var ze=0,Re=function(t){this._sortAcrossTiles="viewport-y"!==t.layout.get("symbol-z-order")&&void 0!==t.layout.get("symbol-sort-key").constantOr(1),this._currentTileIndex=0,this._currentPartIndex=0,this._seenCrossTileIDs={},this._bucketParts=[]};Re.prototype.continuePlacement=function(t,e,r,n,i){for(var a=this._bucketParts;this._currentTileIndex2};this._currentPlacementIndex>=0;){var s=r[e[this._currentPlacementIndex]],l=this.placement.collisionIndex.transform.zoom;if("symbol"===s.type&&(!s.minzoom||s.minzoom<=l)&&(!s.maxzoom||s.maxzoom>l)){if(this._inProgressLayer||(this._inProgressLayer=new Re(s)),this._inProgressLayer.continuePlacement(n[s.source],this.placement,this._showCollisionBoxes,s,o))return;delete this._inProgressLayer}this._currentPlacementIndex--}this._done=!0},Fe.prototype.commit=function(t){return this.placement.commit(t),this.placement};var Be=512/t.EXTENT/2,Ne=function(t,e,r){this.tileID=t,this.indexedSymbolInstances={},this.bucketInstanceId=r;for(var n=0;nt.overscaledZ)for(var s in o){var l=o[s];l.tileID.isChildOf(t)&&l.findMatches(e.symbolInstances,t,i)}else{var u=o[t.scaledTo(Number(a)).key];u&&u.findMatches(e.symbolInstances,t,i)}}for(var c=0;c1?"@2x":"",l=t.getJSON(r.transformRequest(r.normalizeSpriteURL(e,s,".json"),t.ResourceType.SpriteJSON),(function(t,e){l=null,o||(o=t,i=e,c())})),u=t.getImage(r.transformRequest(r.normalizeSpriteURL(e,s,".png"),t.ResourceType.SpriteImage),(function(t,e){u=null,o||(o=t,a=e,c())}));function c(){if(o)n(o);else if(i&&a){var e=t.browser.getImageData(a),r={};for(var s in i){var l=i[s],u=l.width,c=l.height,f=l.x,h=l.y,p=l.sdf,d=l.pixelRatio,v=l.stretchX,g=l.stretchY,y=l.content,m=new t.RGBAImage({width:u,height:c});t.RGBAImage.copy(e,m,{x:f,y:h},{x:0,y:0},{width:u,height:c}),r[s]={data:m,pixelRatio:d,sdf:p,stretchX:v,stretchY:g,content:y}}n(null,r)}}return{cancel:function(){l&&(l.cancel(),l=null),u&&(u.cancel(),u=null)}}}(e,this.map._requestManager,(function(e,n){if(r._spriteRequest=null,e)r.fire(new t.ErrorEvent(e));else if(n)for(var i in n)r.imageManager.addImage(i,n[i]);r.imageManager.setLoaded(!0),r._availableImages=r.imageManager.listImages(),r.dispatcher.broadcast("setImages",r._availableImages),r.fire(new t.Event("data",{dataType:"style"}))}))},r.prototype._validateLayer=function(e){var r=this.sourceCaches[e.source];if(r){var n=e.sourceLayer;if(n){var i=r.getSource();("geojson"===i.type||i.vectorLayerIds&&-1===i.vectorLayerIds.indexOf(n))&&this.fire(new t.ErrorEvent(new Error('Source layer "'+n+'" does not exist on source "'+i.id+'" as specified by style layer "'+e.id+'"')))}}},r.prototype.loaded=function(){if(!this._loaded)return!1;if(Object.keys(this._updatedSources).length)return!1;for(var t in this.sourceCaches)if(!this.sourceCaches[t].loaded())return!1;return!!this.imageManager.isLoaded()},r.prototype._serializeLayers=function(t){for(var e=[],r=0,n=t;r0)throw new Error("Unimplemented: "+i.map((function(t){return t.command})).join(", ")+".");return n.forEach((function(t){"setTransition"!==t.command&&r[t.command].apply(r,t.args)})),this.stylesheet=e,!0},r.prototype.addImage=function(e,r){if(this.getImage(e))return this.fire(new t.ErrorEvent(new Error("An image with this name already exists.")));this.imageManager.addImage(e,r),this._afterImageUpdated(e)},r.prototype.updateImage=function(t,e){this.imageManager.updateImage(t,e)},r.prototype.getImage=function(t){return this.imageManager.getImage(t)},r.prototype.removeImage=function(e){if(!this.getImage(e))return this.fire(new t.ErrorEvent(new Error("No image with this name exists.")));this.imageManager.removeImage(e),this._afterImageUpdated(e)},r.prototype._afterImageUpdated=function(e){this._availableImages=this.imageManager.listImages(),this._changedImages[e]=!0,this._changed=!0,this.dispatcher.broadcast("setImages",this._availableImages),this.fire(new t.Event("data",{dataType:"style"}))},r.prototype.listImages=function(){return this._checkLoaded(),this.imageManager.listImages()},r.prototype.addSource=function(e,r,n){var i=this;if(void 0===n&&(n={}),this._checkLoaded(),void 0!==this.sourceCaches[e])throw new Error("There is already a source with this ID");if(!r.type)throw new Error("The type property must be defined, but only the following properties were given: "+Object.keys(r).join(", ")+".");if(!(["vector","raster","geojson","video","image"].indexOf(r.type)>=0&&this._validate(t.validateStyle.source,"sources."+e,r,null,n))){this.map&&this.map._collectResourceTiming&&(r.collectResourceTiming=!0);var a=this.sourceCaches[e]=new Ot(e,r,this.dispatcher);a.style=this,a.setEventedParent(this,(function(){return{isSourceLoaded:i.loaded(),source:a.serialize(),sourceId:e}})),a.onAdd(this.map),this._changed=!0}},r.prototype.removeSource=function(e){if(this._checkLoaded(),void 0===this.sourceCaches[e])throw new Error("There is no source with this ID");for(var r in this._layers)if(this._layers[r].source===e)return this.fire(new t.ErrorEvent(new Error('Source "'+e+'" cannot be removed while layer "'+r+'" is using it.')));var n=this.sourceCaches[e];delete this.sourceCaches[e],delete this._updatedSources[e],n.fire(new t.Event("data",{sourceDataType:"metadata",dataType:"source",sourceId:e})),n.setEventedParent(null),n.clearTiles(),n.onRemove&&n.onRemove(this.map),this._changed=!0},r.prototype.setGeoJSONSourceData=function(t,e){this._checkLoaded(),this.sourceCaches[t].getSource().setData(e),this._changed=!0},r.prototype.getSource=function(t){return this.sourceCaches[t]&&this.sourceCaches[t].getSource()},r.prototype.addLayer=function(e,r,n){void 0===n&&(n={}),this._checkLoaded();var i=e.id;if(this.getLayer(i))this.fire(new t.ErrorEvent(new Error('Layer with id "'+i+'" already exists on this map')));else{var a;if("custom"===e.type){if(qe(this,t.validateCustomStyleLayer(e)))return;a=t.createStyleLayer(e)}else{if("object"==typeof e.source&&(this.addSource(i,e.source),e=t.clone$1(e),e=t.extend(e,{source:i})),this._validate(t.validateStyle.layer,"layers."+i,e,{arrayIndex:-1},n))return;a=t.createStyleLayer(e),this._validateLayer(a),a.setEventedParent(this,{layer:{id:i}}),this._serializedLayers[a.id]=a.serialize()}var o=r?this._order.indexOf(r):this._order.length;if(r&&-1===o)this.fire(new t.ErrorEvent(new Error('Layer with id "'+r+'" does not exist on this map.')));else{if(this._order.splice(o,0,i),this._layerOrderChanged=!0,this._layers[i]=a,this._removedLayers[i]&&a.source&&"custom"!==a.type){var s=this._removedLayers[i];delete this._removedLayers[i],s.type!==a.type?this._updatedSources[a.source]="clear":(this._updatedSources[a.source]="reload",this.sourceCaches[a.source].pause())}this._updateLayer(a),a.onAdd&&a.onAdd(this.map)}}},r.prototype.moveLayer=function(e,r){if(this._checkLoaded(),this._changed=!0,this._layers[e]){if(e!==r){var n=this._order.indexOf(e);this._order.splice(n,1);var i=r?this._order.indexOf(r):this._order.length;r&&-1===i?this.fire(new t.ErrorEvent(new Error('Layer with id "'+r+'" does not exist on this map.'))):(this._order.splice(i,0,e),this._layerOrderChanged=!0)}}else this.fire(new t.ErrorEvent(new Error("The layer '"+e+"' does not exist in the map's style and cannot be moved.")))},r.prototype.removeLayer=function(e){this._checkLoaded();var r=this._layers[e];if(r){r.setEventedParent(null);var n=this._order.indexOf(e);this._order.splice(n,1),this._layerOrderChanged=!0,this._changed=!0,this._removedLayers[e]=r,delete this._layers[e],delete this._serializedLayers[e],delete this._updatedLayers[e],delete this._updatedPaintProps[e],r.onRemove&&r.onRemove(this.map)}else this.fire(new t.ErrorEvent(new Error("The layer '"+e+"' does not exist in the map's style and cannot be removed.")))},r.prototype.getLayer=function(t){return this._layers[t]},r.prototype.hasLayer=function(t){return t in this._layers},r.prototype.setLayerZoomRange=function(e,r,n){this._checkLoaded();var i=this.getLayer(e);i?i.minzoom===r&&i.maxzoom===n||(null!=r&&(i.minzoom=r),null!=n&&(i.maxzoom=n),this._updateLayer(i)):this.fire(new t.ErrorEvent(new Error("The layer '"+e+"' does not exist in the map's style and cannot have zoom extent.")))},r.prototype.setFilter=function(e,r,n){void 0===n&&(n={}),this._checkLoaded();var i=this.getLayer(e);if(i){if(!t.deepEqual(i.filter,r))return null==r?(i.filter=void 0,void this._updateLayer(i)):void(this._validate(t.validateStyle.filter,"layers."+i.id+".filter",r,null,n)||(i.filter=t.clone$1(r),this._updateLayer(i)))}else this.fire(new t.ErrorEvent(new Error("The layer '"+e+"' does not exist in the map's style and cannot be filtered.")))},r.prototype.getFilter=function(e){return t.clone$1(this.getLayer(e).filter)},r.prototype.setLayoutProperty=function(e,r,n,i){void 0===i&&(i={}),this._checkLoaded();var a=this.getLayer(e);a?t.deepEqual(a.getLayoutProperty(r),n)||(a.setLayoutProperty(r,n,i),this._updateLayer(a)):this.fire(new t.ErrorEvent(new Error("The layer '"+e+"' does not exist in the map's style and cannot be styled.")))},r.prototype.getLayoutProperty=function(e,r){var n=this.getLayer(e);if(n)return n.getLayoutProperty(r);this.fire(new t.ErrorEvent(new Error("The layer '"+e+"' does not exist in the map's style.")))},r.prototype.setPaintProperty=function(e,r,n,i){void 0===i&&(i={}),this._checkLoaded();var a=this.getLayer(e);a?t.deepEqual(a.getPaintProperty(r),n)||(a.setPaintProperty(r,n,i)&&this._updateLayer(a),this._changed=!0,this._updatedPaintProps[e]=!0):this.fire(new t.ErrorEvent(new Error("The layer '"+e+"' does not exist in the map's style and cannot be styled.")))},r.prototype.getPaintProperty=function(t,e){return this.getLayer(t).getPaintProperty(e)},r.prototype.setFeatureState=function(e,r){this._checkLoaded();var n=e.source,i=e.sourceLayer,a=this.sourceCaches[n];if(void 0!==a){var o=a.getSource().type;"geojson"===o&&i?this.fire(new t.ErrorEvent(new Error("GeoJSON sources cannot have a sourceLayer parameter."))):"vector"!==o||i?(void 0===e.id&&this.fire(new t.ErrorEvent(new Error("The feature id parameter must be provided."))),a.setFeatureState(i,e.id,r)):this.fire(new t.ErrorEvent(new Error("The sourceLayer parameter must be provided for vector source types.")))}else this.fire(new t.ErrorEvent(new Error("The source '"+n+"' does not exist in the map's style.")))},r.prototype.removeFeatureState=function(e,r){this._checkLoaded();var n=e.source,i=this.sourceCaches[n];if(void 0!==i){var a=i.getSource().type,o="vector"===a?e.sourceLayer:void 0;"vector"!==a||o?r&&"string"!=typeof e.id&&"number"!=typeof e.id?this.fire(new t.ErrorEvent(new Error("A feature id is required to remove its specific state property."))):i.removeFeatureState(o,e.id,r):this.fire(new t.ErrorEvent(new Error("The sourceLayer parameter must be provided for vector source types.")))}else this.fire(new t.ErrorEvent(new Error("The source '"+n+"' does not exist in the map's style.")))},r.prototype.getFeatureState=function(e){this._checkLoaded();var r=e.source,n=e.sourceLayer,i=this.sourceCaches[r];if(void 0!==i){if("vector"!==i.getSource().type||n)return void 0===e.id&&this.fire(new t.ErrorEvent(new Error("The feature id parameter must be provided."))),i.getFeatureState(n,e.id);this.fire(new t.ErrorEvent(new Error("The sourceLayer parameter must be provided for vector source types.")))}else this.fire(new t.ErrorEvent(new Error("The source '"+r+"' does not exist in the map's style.")))},r.prototype.getTransition=function(){return t.extend({duration:300,delay:0},this.stylesheet&&this.stylesheet.transition)},r.prototype.serialize=function(){return t.filterObject({version:this.stylesheet.version,name:this.stylesheet.name,metadata:this.stylesheet.metadata,light:this.stylesheet.light,center:this.stylesheet.center,zoom:this.stylesheet.zoom,bearing:this.stylesheet.bearing,pitch:this.stylesheet.pitch,sprite:this.stylesheet.sprite,glyphs:this.stylesheet.glyphs,transition:this.stylesheet.transition,sources:t.mapObject(this.sourceCaches,(function(t){return t.serialize()})),layers:this._serializeLayers(this._order)},(function(t){return void 0!==t}))},r.prototype._updateLayer=function(t){this._updatedLayers[t.id]=!0,t.source&&!this._updatedSources[t.source]&&"raster"!==this.sourceCaches[t.source].getSource().type&&(this._updatedSources[t.source]="reload",this.sourceCaches[t.source].pause()),this._changed=!0},r.prototype._flattenAndSortRenderedFeatures=function(t){for(var e=this,r=function(t){return"fill-extrusion"===e._layers[t].type},n={},i=[],a=this._order.length-1;a>=0;a--){var o=this._order[a];if(r(o)){n[o]=a;for(var s=0,l=t;s=0;d--){var v=this._order[d];if(r(v))for(var g=i.length-1;g>=0;g--){var y=i[g].feature;if(n[y.layer.id] 0.5) {gl_FragColor=vec4(0.0,0.0,1.0,0.5)*alpha;}if (v_notUsed > 0.5) {gl_FragColor*=.1;}}","attribute vec2 a_pos;attribute vec2 a_anchor_pos;attribute vec2 a_extrude;attribute vec2 a_placed;attribute vec2 a_shift;uniform mat4 u_matrix;uniform vec2 u_extrude_scale;uniform float u_camera_to_center_distance;varying float v_placed;varying float v_notUsed;void main() {vec4 projectedPoint=u_matrix*vec4(a_anchor_pos,0,1);highp float camera_to_anchor_distance=projectedPoint.w;highp float collision_perspective_ratio=clamp(0.5+0.5*(u_camera_to_center_distance/camera_to_anchor_distance),0.0,4.0);gl_Position=u_matrix*vec4(a_pos,0.0,1.0);gl_Position.xy+=(a_extrude+a_shift)*u_extrude_scale*gl_Position.w*collision_perspective_ratio;v_placed=a_placed.x;v_notUsed=a_placed.y;}"),nr=_r("varying float v_radius;varying vec2 v_extrude;varying float v_perspective_ratio;varying float v_collision;void main() {float alpha=0.5*min(v_perspective_ratio,1.0);float stroke_radius=0.9*max(v_perspective_ratio,1.0);float distance_to_center=length(v_extrude);float distance_to_edge=abs(distance_to_center-v_radius);float opacity_t=smoothstep(-stroke_radius,0.0,-distance_to_edge);vec4 color=mix(vec4(0.0,0.0,1.0,0.5),vec4(1.0,0.0,0.0,1.0),v_collision);gl_FragColor=color*alpha*opacity_t;}","attribute vec2 a_pos;attribute float a_radius;attribute vec2 a_flags;uniform mat4 u_matrix;uniform mat4 u_inv_matrix;uniform vec2 u_viewport_size;uniform float u_camera_to_center_distance;varying float v_radius;varying vec2 v_extrude;varying float v_perspective_ratio;varying float v_collision;vec3 toTilePosition(vec2 screenPos) {vec4 rayStart=u_inv_matrix*vec4(screenPos,-1.0,1.0);vec4 rayEnd =u_inv_matrix*vec4(screenPos, 1.0,1.0);rayStart.xyz/=rayStart.w;rayEnd.xyz /=rayEnd.w;highp float t=(0.0-rayStart.z)/(rayEnd.z-rayStart.z);return mix(rayStart.xyz,rayEnd.xyz,t);}void main() {vec2 quadCenterPos=a_pos;float radius=a_radius;float collision=a_flags.x;float vertexIdx=a_flags.y;vec2 quadVertexOffset=vec2(mix(-1.0,1.0,float(vertexIdx >=2.0)),mix(-1.0,1.0,float(vertexIdx >=1.0 && vertexIdx <=2.0)));vec2 quadVertexExtent=quadVertexOffset*radius;vec3 tilePos=toTilePosition(quadCenterPos);vec4 clipPos=u_matrix*vec4(tilePos,1.0);highp float camera_to_anchor_distance=clipPos.w;highp float collision_perspective_ratio=clamp(0.5+0.5*(u_camera_to_center_distance/camera_to_anchor_distance),0.0,4.0);float padding_factor=1.2;v_radius=radius;v_extrude=quadVertexExtent*padding_factor;v_perspective_ratio=collision_perspective_ratio;v_collision=collision;gl_Position=vec4(clipPos.xyz/clipPos.w,1.0)+vec4(quadVertexExtent*padding_factor/u_viewport_size*2.0,0.0,0.0);}"),ir=_r("uniform highp vec4 u_color;uniform sampler2D u_overlay;varying vec2 v_uv;void main() {vec4 overlay_color=texture2D(u_overlay,v_uv);gl_FragColor=mix(u_color,overlay_color,overlay_color.a);}","attribute vec2 a_pos;varying vec2 v_uv;uniform mat4 u_matrix;uniform float u_overlay_scale;void main() {v_uv=a_pos/8192.0;gl_Position=u_matrix*vec4(a_pos*u_overlay_scale,0,1);}"),ar=_r("#pragma mapbox: define highp vec4 color\n#pragma mapbox: define lowp float opacity\nvoid main() {\n#pragma mapbox: initialize highp vec4 color\n#pragma mapbox: initialize lowp float opacity\ngl_FragColor=color*opacity;\n#ifdef OVERDRAW_INSPECTOR\ngl_FragColor=vec4(1.0);\n#endif\n}","attribute vec2 a_pos;uniform mat4 u_matrix;\n#pragma mapbox: define highp vec4 color\n#pragma mapbox: define lowp float opacity\nvoid main() {\n#pragma mapbox: initialize highp vec4 color\n#pragma mapbox: initialize lowp float opacity\ngl_Position=u_matrix*vec4(a_pos,0,1);}"),or=_r("varying vec2 v_pos;\n#pragma mapbox: define highp vec4 outline_color\n#pragma mapbox: define lowp float opacity\nvoid main() {\n#pragma mapbox: initialize highp vec4 outline_color\n#pragma mapbox: initialize lowp float opacity\nfloat dist=length(v_pos-gl_FragCoord.xy);float alpha=1.0-smoothstep(0.0,1.0,dist);gl_FragColor=outline_color*(alpha*opacity);\n#ifdef OVERDRAW_INSPECTOR\ngl_FragColor=vec4(1.0);\n#endif\n}","attribute vec2 a_pos;uniform mat4 u_matrix;uniform vec2 u_world;varying vec2 v_pos;\n#pragma mapbox: define highp vec4 outline_color\n#pragma mapbox: define lowp float opacity\nvoid main() {\n#pragma mapbox: initialize highp vec4 outline_color\n#pragma mapbox: initialize lowp float opacity\ngl_Position=u_matrix*vec4(a_pos,0,1);v_pos=(gl_Position.xy/gl_Position.w+1.0)/2.0*u_world;}"),sr=_r("uniform vec2 u_texsize;uniform sampler2D u_image;uniform float u_fade;varying vec2 v_pos_a;varying vec2 v_pos_b;varying vec2 v_pos;\n#pragma mapbox: define lowp float opacity\n#pragma mapbox: define lowp vec4 pattern_from\n#pragma mapbox: define lowp vec4 pattern_to\nvoid main() {\n#pragma mapbox: initialize lowp float opacity\n#pragma mapbox: initialize mediump vec4 pattern_from\n#pragma mapbox: initialize mediump vec4 pattern_to\nvec2 pattern_tl_a=pattern_from.xy;vec2 pattern_br_a=pattern_from.zw;vec2 pattern_tl_b=pattern_to.xy;vec2 pattern_br_b=pattern_to.zw;vec2 imagecoord=mod(v_pos_a,1.0);vec2 pos=mix(pattern_tl_a/u_texsize,pattern_br_a/u_texsize,imagecoord);vec4 color1=texture2D(u_image,pos);vec2 imagecoord_b=mod(v_pos_b,1.0);vec2 pos2=mix(pattern_tl_b/u_texsize,pattern_br_b/u_texsize,imagecoord_b);vec4 color2=texture2D(u_image,pos2);float dist=length(v_pos-gl_FragCoord.xy);float alpha=1.0-smoothstep(0.0,1.0,dist);gl_FragColor=mix(color1,color2,u_fade)*alpha*opacity;\n#ifdef OVERDRAW_INSPECTOR\ngl_FragColor=vec4(1.0);\n#endif\n}","uniform mat4 u_matrix;uniform vec2 u_world;uniform vec2 u_pixel_coord_upper;uniform vec2 u_pixel_coord_lower;uniform vec3 u_scale;attribute vec2 a_pos;varying vec2 v_pos_a;varying vec2 v_pos_b;varying vec2 v_pos;\n#pragma mapbox: define lowp float opacity\n#pragma mapbox: define lowp vec4 pattern_from\n#pragma mapbox: define lowp vec4 pattern_to\n#pragma mapbox: define lowp float pixel_ratio_from\n#pragma mapbox: define lowp float pixel_ratio_to\nvoid main() {\n#pragma mapbox: initialize lowp float opacity\n#pragma mapbox: initialize mediump vec4 pattern_from\n#pragma mapbox: initialize mediump vec4 pattern_to\n#pragma mapbox: initialize lowp float pixel_ratio_from\n#pragma mapbox: initialize lowp float pixel_ratio_to\nvec2 pattern_tl_a=pattern_from.xy;vec2 pattern_br_a=pattern_from.zw;vec2 pattern_tl_b=pattern_to.xy;vec2 pattern_br_b=pattern_to.zw;float tileRatio=u_scale.x;float fromScale=u_scale.y;float toScale=u_scale.z;gl_Position=u_matrix*vec4(a_pos,0,1);vec2 display_size_a=(pattern_br_a-pattern_tl_a)/pixel_ratio_from;vec2 display_size_b=(pattern_br_b-pattern_tl_b)/pixel_ratio_to;v_pos_a=get_pattern_pos(u_pixel_coord_upper,u_pixel_coord_lower,fromScale*display_size_a,tileRatio,a_pos);v_pos_b=get_pattern_pos(u_pixel_coord_upper,u_pixel_coord_lower,toScale*display_size_b,tileRatio,a_pos);v_pos=(gl_Position.xy/gl_Position.w+1.0)/2.0*u_world;}"),lr=_r("uniform vec2 u_texsize;uniform float u_fade;uniform sampler2D u_image;varying vec2 v_pos_a;varying vec2 v_pos_b;\n#pragma mapbox: define lowp float opacity\n#pragma mapbox: define lowp vec4 pattern_from\n#pragma mapbox: define lowp vec4 pattern_to\nvoid main() {\n#pragma mapbox: initialize lowp float opacity\n#pragma mapbox: initialize mediump vec4 pattern_from\n#pragma mapbox: initialize mediump vec4 pattern_to\nvec2 pattern_tl_a=pattern_from.xy;vec2 pattern_br_a=pattern_from.zw;vec2 pattern_tl_b=pattern_to.xy;vec2 pattern_br_b=pattern_to.zw;vec2 imagecoord=mod(v_pos_a,1.0);vec2 pos=mix(pattern_tl_a/u_texsize,pattern_br_a/u_texsize,imagecoord);vec4 color1=texture2D(u_image,pos);vec2 imagecoord_b=mod(v_pos_b,1.0);vec2 pos2=mix(pattern_tl_b/u_texsize,pattern_br_b/u_texsize,imagecoord_b);vec4 color2=texture2D(u_image,pos2);gl_FragColor=mix(color1,color2,u_fade)*opacity;\n#ifdef OVERDRAW_INSPECTOR\ngl_FragColor=vec4(1.0);\n#endif\n}","uniform mat4 u_matrix;uniform vec2 u_pixel_coord_upper;uniform vec2 u_pixel_coord_lower;uniform vec3 u_scale;attribute vec2 a_pos;varying vec2 v_pos_a;varying vec2 v_pos_b;\n#pragma mapbox: define lowp float opacity\n#pragma mapbox: define lowp vec4 pattern_from\n#pragma mapbox: define lowp vec4 pattern_to\n#pragma mapbox: define lowp float pixel_ratio_from\n#pragma mapbox: define lowp float pixel_ratio_to\nvoid main() {\n#pragma mapbox: initialize lowp float opacity\n#pragma mapbox: initialize mediump vec4 pattern_from\n#pragma mapbox: initialize mediump vec4 pattern_to\n#pragma mapbox: initialize lowp float pixel_ratio_from\n#pragma mapbox: initialize lowp float pixel_ratio_to\nvec2 pattern_tl_a=pattern_from.xy;vec2 pattern_br_a=pattern_from.zw;vec2 pattern_tl_b=pattern_to.xy;vec2 pattern_br_b=pattern_to.zw;float tileZoomRatio=u_scale.x;float fromScale=u_scale.y;float toScale=u_scale.z;vec2 display_size_a=(pattern_br_a-pattern_tl_a)/pixel_ratio_from;vec2 display_size_b=(pattern_br_b-pattern_tl_b)/pixel_ratio_to;gl_Position=u_matrix*vec4(a_pos,0,1);v_pos_a=get_pattern_pos(u_pixel_coord_upper,u_pixel_coord_lower,fromScale*display_size_a,tileZoomRatio,a_pos);v_pos_b=get_pattern_pos(u_pixel_coord_upper,u_pixel_coord_lower,toScale*display_size_b,tileZoomRatio,a_pos);}"),ur=_r("varying vec4 v_color;void main() {gl_FragColor=v_color;\n#ifdef OVERDRAW_INSPECTOR\ngl_FragColor=vec4(1.0);\n#endif\n}","uniform mat4 u_matrix;uniform vec3 u_lightcolor;uniform lowp vec3 u_lightpos;uniform lowp float u_lightintensity;uniform float u_vertical_gradient;uniform lowp float u_opacity;attribute vec2 a_pos;attribute vec4 a_normal_ed;varying vec4 v_color;\n#pragma mapbox: define highp float base\n#pragma mapbox: define highp float height\n#pragma mapbox: define highp vec4 color\nvoid main() {\n#pragma mapbox: initialize highp float base\n#pragma mapbox: initialize highp float height\n#pragma mapbox: initialize highp vec4 color\nvec3 normal=a_normal_ed.xyz;base=max(0.0,base);height=max(0.0,height);float t=mod(normal.x,2.0);gl_Position=u_matrix*vec4(a_pos,t > 0.0 ? height : base,1);float colorvalue=color.r*0.2126+color.g*0.7152+color.b*0.0722;v_color=vec4(0.0,0.0,0.0,1.0);vec4 ambientlight=vec4(0.03,0.03,0.03,1.0);color+=ambientlight;float directional=clamp(dot(normal/16384.0,u_lightpos),0.0,1.0);directional=mix((1.0-u_lightintensity),max((1.0-colorvalue+u_lightintensity),1.0),directional);if (normal.y !=0.0) {directional*=((1.0-u_vertical_gradient)+(u_vertical_gradient*clamp((t+base)*pow(height/150.0,0.5),mix(0.7,0.98,1.0-u_lightintensity),1.0)));}v_color.r+=clamp(color.r*directional*u_lightcolor.r,mix(0.0,0.3,1.0-u_lightcolor.r),1.0);v_color.g+=clamp(color.g*directional*u_lightcolor.g,mix(0.0,0.3,1.0-u_lightcolor.g),1.0);v_color.b+=clamp(color.b*directional*u_lightcolor.b,mix(0.0,0.3,1.0-u_lightcolor.b),1.0);v_color*=u_opacity;}"),cr=_r("uniform vec2 u_texsize;uniform float u_fade;uniform sampler2D u_image;varying vec2 v_pos_a;varying vec2 v_pos_b;varying vec4 v_lighting;\n#pragma mapbox: define lowp float base\n#pragma mapbox: define lowp float height\n#pragma mapbox: define lowp vec4 pattern_from\n#pragma mapbox: define lowp vec4 pattern_to\n#pragma mapbox: define lowp float pixel_ratio_from\n#pragma mapbox: define lowp float pixel_ratio_to\nvoid main() {\n#pragma mapbox: initialize lowp float base\n#pragma mapbox: initialize lowp float height\n#pragma mapbox: initialize mediump vec4 pattern_from\n#pragma mapbox: initialize mediump vec4 pattern_to\n#pragma mapbox: initialize lowp float pixel_ratio_from\n#pragma mapbox: initialize lowp float pixel_ratio_to\nvec2 pattern_tl_a=pattern_from.xy;vec2 pattern_br_a=pattern_from.zw;vec2 pattern_tl_b=pattern_to.xy;vec2 pattern_br_b=pattern_to.zw;vec2 imagecoord=mod(v_pos_a,1.0);vec2 pos=mix(pattern_tl_a/u_texsize,pattern_br_a/u_texsize,imagecoord);vec4 color1=texture2D(u_image,pos);vec2 imagecoord_b=mod(v_pos_b,1.0);vec2 pos2=mix(pattern_tl_b/u_texsize,pattern_br_b/u_texsize,imagecoord_b);vec4 color2=texture2D(u_image,pos2);vec4 mixedColor=mix(color1,color2,u_fade);gl_FragColor=mixedColor*v_lighting;\n#ifdef OVERDRAW_INSPECTOR\ngl_FragColor=vec4(1.0);\n#endif\n}","uniform mat4 u_matrix;uniform vec2 u_pixel_coord_upper;uniform vec2 u_pixel_coord_lower;uniform float u_height_factor;uniform vec3 u_scale;uniform float u_vertical_gradient;uniform lowp float u_opacity;uniform vec3 u_lightcolor;uniform lowp vec3 u_lightpos;uniform lowp float u_lightintensity;attribute vec2 a_pos;attribute vec4 a_normal_ed;varying vec2 v_pos_a;varying vec2 v_pos_b;varying vec4 v_lighting;\n#pragma mapbox: define lowp float base\n#pragma mapbox: define lowp float height\n#pragma mapbox: define lowp vec4 pattern_from\n#pragma mapbox: define lowp vec4 pattern_to\n#pragma mapbox: define lowp float pixel_ratio_from\n#pragma mapbox: define lowp float pixel_ratio_to\nvoid main() {\n#pragma mapbox: initialize lowp float base\n#pragma mapbox: initialize lowp float height\n#pragma mapbox: initialize mediump vec4 pattern_from\n#pragma mapbox: initialize mediump vec4 pattern_to\n#pragma mapbox: initialize lowp float pixel_ratio_from\n#pragma mapbox: initialize lowp float pixel_ratio_to\nvec2 pattern_tl_a=pattern_from.xy;vec2 pattern_br_a=pattern_from.zw;vec2 pattern_tl_b=pattern_to.xy;vec2 pattern_br_b=pattern_to.zw;float tileRatio=u_scale.x;float fromScale=u_scale.y;float toScale=u_scale.z;vec3 normal=a_normal_ed.xyz;float edgedistance=a_normal_ed.w;vec2 display_size_a=(pattern_br_a-pattern_tl_a)/pixel_ratio_from;vec2 display_size_b=(pattern_br_b-pattern_tl_b)/pixel_ratio_to;base=max(0.0,base);height=max(0.0,height);float t=mod(normal.x,2.0);float z=t > 0.0 ? height : base;gl_Position=u_matrix*vec4(a_pos,z,1);vec2 pos=normal.x==1.0 && normal.y==0.0 && normal.z==16384.0\n? a_pos\n: vec2(edgedistance,z*u_height_factor);v_pos_a=get_pattern_pos(u_pixel_coord_upper,u_pixel_coord_lower,fromScale*display_size_a,tileRatio,pos);v_pos_b=get_pattern_pos(u_pixel_coord_upper,u_pixel_coord_lower,toScale*display_size_b,tileRatio,pos);v_lighting=vec4(0.0,0.0,0.0,1.0);float directional=clamp(dot(normal/16383.0,u_lightpos),0.0,1.0);directional=mix((1.0-u_lightintensity),max((0.5+u_lightintensity),1.0),directional);if (normal.y !=0.0) {directional*=((1.0-u_vertical_gradient)+(u_vertical_gradient*clamp((t+base)*pow(height/150.0,0.5),mix(0.7,0.98,1.0-u_lightintensity),1.0)));}v_lighting.rgb+=clamp(directional*u_lightcolor,mix(vec3(0.0),vec3(0.3),1.0-u_lightcolor),vec3(1.0));v_lighting*=u_opacity;}"),fr=_r("#ifdef GL_ES\nprecision highp float;\n#endif\nuniform sampler2D u_image;varying vec2 v_pos;uniform vec2 u_dimension;uniform float u_zoom;uniform vec4 u_unpack;float getElevation(vec2 coord,float bias) {vec4 data=texture2D(u_image,coord)*255.0;data.a=-1.0;return dot(data,u_unpack)/4.0;}void main() {vec2 epsilon=1.0/u_dimension;float a=getElevation(v_pos+vec2(-epsilon.x,-epsilon.y),0.0);float b=getElevation(v_pos+vec2(0,-epsilon.y),0.0);float c=getElevation(v_pos+vec2(epsilon.x,-epsilon.y),0.0);float d=getElevation(v_pos+vec2(-epsilon.x,0),0.0);float e=getElevation(v_pos,0.0);float f=getElevation(v_pos+vec2(epsilon.x,0),0.0);float g=getElevation(v_pos+vec2(-epsilon.x,epsilon.y),0.0);float h=getElevation(v_pos+vec2(0,epsilon.y),0.0);float i=getElevation(v_pos+vec2(epsilon.x,epsilon.y),0.0);float exaggerationFactor=u_zoom < 2.0 ? 0.4 : u_zoom < 4.5 ? 0.35 : 0.3;float exaggeration=u_zoom < 15.0 ? (u_zoom-15.0)*exaggerationFactor : 0.0;vec2 deriv=vec2((c+f+f+i)-(a+d+d+g),(g+h+h+i)-(a+b+b+c))/pow(2.0,exaggeration+(19.2562-u_zoom));gl_FragColor=clamp(vec4(deriv.x/2.0+0.5,deriv.y/2.0+0.5,1.0,1.0),0.0,1.0);\n#ifdef OVERDRAW_INSPECTOR\ngl_FragColor=vec4(1.0);\n#endif\n}","uniform mat4 u_matrix;uniform vec2 u_dimension;attribute vec2 a_pos;attribute vec2 a_texture_pos;varying vec2 v_pos;void main() {gl_Position=u_matrix*vec4(a_pos,0,1);highp vec2 epsilon=1.0/u_dimension;float scale=(u_dimension.x-2.0)/u_dimension.x;v_pos=(a_texture_pos/8192.0)*scale+epsilon;}"),hr=_r("uniform sampler2D u_image;varying vec2 v_pos;uniform vec2 u_latrange;uniform vec2 u_light;uniform vec4 u_shadow;uniform vec4 u_highlight;uniform vec4 u_accent;\n#define PI 3.141592653589793\nvoid main() {vec4 pixel=texture2D(u_image,v_pos);vec2 deriv=((pixel.rg*2.0)-1.0);float scaleFactor=cos(radians((u_latrange[0]-u_latrange[1])*(1.0-v_pos.y)+u_latrange[1]));float slope=atan(1.25*length(deriv)/scaleFactor);float aspect=deriv.x !=0.0 ? atan(deriv.y,-deriv.x) : PI/2.0*(deriv.y > 0.0 ? 1.0 :-1.0);float intensity=u_light.x;float azimuth=u_light.y+PI;float base=1.875-intensity*1.75;float maxValue=0.5*PI;float scaledSlope=intensity !=0.5 ? ((pow(base,slope)-1.0)/(pow(base,maxValue)-1.0))*maxValue : slope;float accent=cos(scaledSlope);vec4 accent_color=(1.0-accent)*u_accent*clamp(intensity*2.0,0.0,1.0);float shade=abs(mod((aspect+azimuth)/PI+0.5,2.0)-1.0);vec4 shade_color=mix(u_shadow,u_highlight,shade)*sin(scaledSlope)*clamp(intensity*2.0,0.0,1.0);gl_FragColor=accent_color*(1.0-shade_color.a)+shade_color;\n#ifdef OVERDRAW_INSPECTOR\ngl_FragColor=vec4(1.0);\n#endif\n}","uniform mat4 u_matrix;attribute vec2 a_pos;attribute vec2 a_texture_pos;varying vec2 v_pos;void main() {gl_Position=u_matrix*vec4(a_pos,0,1);v_pos=a_texture_pos/8192.0;}"),pr=_r("uniform lowp float u_device_pixel_ratio;varying vec2 v_width2;varying vec2 v_normal;varying float v_gamma_scale;\n#pragma mapbox: define highp vec4 color\n#pragma mapbox: define lowp float blur\n#pragma mapbox: define lowp float opacity\nvoid main() {\n#pragma mapbox: initialize highp vec4 color\n#pragma mapbox: initialize lowp float blur\n#pragma mapbox: initialize lowp float opacity\nfloat dist=length(v_normal)*v_width2.s;float blur2=(blur+1.0/u_device_pixel_ratio)*v_gamma_scale;float alpha=clamp(min(dist-(v_width2.t-blur2),v_width2.s-dist)/blur2,0.0,1.0);gl_FragColor=color*(alpha*opacity);\n#ifdef OVERDRAW_INSPECTOR\ngl_FragColor=vec4(1.0);\n#endif\n}","\n#define scale 0.015873016\nattribute vec2 a_pos_normal;attribute vec4 a_data;uniform mat4 u_matrix;uniform mediump float u_ratio;uniform vec2 u_units_to_pixels;uniform lowp float u_device_pixel_ratio;varying vec2 v_normal;varying vec2 v_width2;varying float v_gamma_scale;varying highp float v_linesofar;\n#pragma mapbox: define highp vec4 color\n#pragma mapbox: define lowp float blur\n#pragma mapbox: define lowp float opacity\n#pragma mapbox: define mediump float gapwidth\n#pragma mapbox: define lowp float offset\n#pragma mapbox: define mediump float width\nvoid main() {\n#pragma mapbox: initialize highp vec4 color\n#pragma mapbox: initialize lowp float blur\n#pragma mapbox: initialize lowp float opacity\n#pragma mapbox: initialize mediump float gapwidth\n#pragma mapbox: initialize lowp float offset\n#pragma mapbox: initialize mediump float width\nfloat ANTIALIASING=1.0/u_device_pixel_ratio/2.0;vec2 a_extrude=a_data.xy-128.0;float a_direction=mod(a_data.z,4.0)-1.0;v_linesofar=(floor(a_data.z/4.0)+a_data.w*64.0)*2.0;vec2 pos=floor(a_pos_normal*0.5);mediump vec2 normal=a_pos_normal-2.0*pos;normal.y=normal.y*2.0-1.0;v_normal=normal;gapwidth=gapwidth/2.0;float halfwidth=width/2.0;offset=-1.0*offset;float inset=gapwidth+(gapwidth > 0.0 ? ANTIALIASING : 0.0);float outset=gapwidth+halfwidth*(gapwidth > 0.0 ? 2.0 : 1.0)+(halfwidth==0.0 ? 0.0 : ANTIALIASING);mediump vec2 dist=outset*a_extrude*scale;mediump float u=0.5*a_direction;mediump float t=1.0-abs(u);mediump vec2 offset2=offset*a_extrude*scale*normal.y*mat2(t,-u,u,t);vec4 projected_extrude=u_matrix*vec4(dist/u_ratio,0.0,0.0);gl_Position=u_matrix*vec4(pos+offset2/u_ratio,0.0,1.0)+projected_extrude;float extrude_length_without_perspective=length(dist);float extrude_length_with_perspective=length(projected_extrude.xy/gl_Position.w*u_units_to_pixels);v_gamma_scale=extrude_length_without_perspective/extrude_length_with_perspective;v_width2=vec2(outset,inset);}"),dr=_r("uniform lowp float u_device_pixel_ratio;uniform sampler2D u_image;varying vec2 v_width2;varying vec2 v_normal;varying float v_gamma_scale;varying highp vec2 v_uv;\n#pragma mapbox: define lowp float blur\n#pragma mapbox: define lowp float opacity\nvoid main() {\n#pragma mapbox: initialize lowp float blur\n#pragma mapbox: initialize lowp float opacity\nfloat dist=length(v_normal)*v_width2.s;float blur2=(blur+1.0/u_device_pixel_ratio)*v_gamma_scale;float alpha=clamp(min(dist-(v_width2.t-blur2),v_width2.s-dist)/blur2,0.0,1.0);vec4 color=texture2D(u_image,v_uv);gl_FragColor=color*(alpha*opacity);\n#ifdef OVERDRAW_INSPECTOR\ngl_FragColor=vec4(1.0);\n#endif\n}","\n#define scale 0.015873016\nattribute vec2 a_pos_normal;attribute vec4 a_data;attribute float a_uv_x;attribute float a_split_index;uniform mat4 u_matrix;uniform mediump float u_ratio;uniform lowp float u_device_pixel_ratio;uniform vec2 u_units_to_pixels;uniform float u_image_height;varying vec2 v_normal;varying vec2 v_width2;varying float v_gamma_scale;varying highp vec2 v_uv;\n#pragma mapbox: define lowp float blur\n#pragma mapbox: define lowp float opacity\n#pragma mapbox: define mediump float gapwidth\n#pragma mapbox: define lowp float offset\n#pragma mapbox: define mediump float width\nvoid main() {\n#pragma mapbox: initialize lowp float blur\n#pragma mapbox: initialize lowp float opacity\n#pragma mapbox: initialize mediump float gapwidth\n#pragma mapbox: initialize lowp float offset\n#pragma mapbox: initialize mediump float width\nfloat ANTIALIASING=1.0/u_device_pixel_ratio/2.0;vec2 a_extrude=a_data.xy-128.0;float a_direction=mod(a_data.z,4.0)-1.0;highp float texel_height=1.0/u_image_height;highp float half_texel_height=0.5*texel_height;v_uv=vec2(a_uv_x,a_split_index*texel_height-half_texel_height);vec2 pos=floor(a_pos_normal*0.5);mediump vec2 normal=a_pos_normal-2.0*pos;normal.y=normal.y*2.0-1.0;v_normal=normal;gapwidth=gapwidth/2.0;float halfwidth=width/2.0;offset=-1.0*offset;float inset=gapwidth+(gapwidth > 0.0 ? ANTIALIASING : 0.0);float outset=gapwidth+halfwidth*(gapwidth > 0.0 ? 2.0 : 1.0)+(halfwidth==0.0 ? 0.0 : ANTIALIASING);mediump vec2 dist=outset*a_extrude*scale;mediump float u=0.5*a_direction;mediump float t=1.0-abs(u);mediump vec2 offset2=offset*a_extrude*scale*normal.y*mat2(t,-u,u,t);vec4 projected_extrude=u_matrix*vec4(dist/u_ratio,0.0,0.0);gl_Position=u_matrix*vec4(pos+offset2/u_ratio,0.0,1.0)+projected_extrude;float extrude_length_without_perspective=length(dist);float extrude_length_with_perspective=length(projected_extrude.xy/gl_Position.w*u_units_to_pixels);v_gamma_scale=extrude_length_without_perspective/extrude_length_with_perspective;v_width2=vec2(outset,inset);}"),vr=_r("uniform lowp float u_device_pixel_ratio;uniform vec2 u_texsize;uniform float u_fade;uniform mediump vec3 u_scale;uniform sampler2D u_image;varying vec2 v_normal;varying vec2 v_width2;varying float v_linesofar;varying float v_gamma_scale;varying float v_width;\n#pragma mapbox: define lowp vec4 pattern_from\n#pragma mapbox: define lowp vec4 pattern_to\n#pragma mapbox: define lowp float pixel_ratio_from\n#pragma mapbox: define lowp float pixel_ratio_to\n#pragma mapbox: define lowp float blur\n#pragma mapbox: define lowp float opacity\nvoid main() {\n#pragma mapbox: initialize mediump vec4 pattern_from\n#pragma mapbox: initialize mediump vec4 pattern_to\n#pragma mapbox: initialize lowp float pixel_ratio_from\n#pragma mapbox: initialize lowp float pixel_ratio_to\n#pragma mapbox: initialize lowp float blur\n#pragma mapbox: initialize lowp float opacity\nvec2 pattern_tl_a=pattern_from.xy;vec2 pattern_br_a=pattern_from.zw;vec2 pattern_tl_b=pattern_to.xy;vec2 pattern_br_b=pattern_to.zw;float tileZoomRatio=u_scale.x;float fromScale=u_scale.y;float toScale=u_scale.z;vec2 display_size_a=(pattern_br_a-pattern_tl_a)/pixel_ratio_from;vec2 display_size_b=(pattern_br_b-pattern_tl_b)/pixel_ratio_to;vec2 pattern_size_a=vec2(display_size_a.x*fromScale/tileZoomRatio,display_size_a.y);vec2 pattern_size_b=vec2(display_size_b.x*toScale/tileZoomRatio,display_size_b.y);float aspect_a=display_size_a.y/v_width;float aspect_b=display_size_b.y/v_width;float dist=length(v_normal)*v_width2.s;float blur2=(blur+1.0/u_device_pixel_ratio)*v_gamma_scale;float alpha=clamp(min(dist-(v_width2.t-blur2),v_width2.s-dist)/blur2,0.0,1.0);float x_a=mod(v_linesofar/pattern_size_a.x*aspect_a,1.0);float x_b=mod(v_linesofar/pattern_size_b.x*aspect_b,1.0);float y=0.5*v_normal.y+0.5;vec2 texel_size=1.0/u_texsize;vec2 pos_a=mix(pattern_tl_a*texel_size-texel_size,pattern_br_a*texel_size+texel_size,vec2(x_a,y));vec2 pos_b=mix(pattern_tl_b*texel_size-texel_size,pattern_br_b*texel_size+texel_size,vec2(x_b,y));vec4 color=mix(texture2D(u_image,pos_a),texture2D(u_image,pos_b),u_fade);gl_FragColor=color*alpha*opacity;\n#ifdef OVERDRAW_INSPECTOR\ngl_FragColor=vec4(1.0);\n#endif\n}","\n#define scale 0.015873016\n#define LINE_DISTANCE_SCALE 2.0\nattribute vec2 a_pos_normal;attribute vec4 a_data;uniform mat4 u_matrix;uniform vec2 u_units_to_pixels;uniform mediump float u_ratio;uniform lowp float u_device_pixel_ratio;varying vec2 v_normal;varying vec2 v_width2;varying float v_linesofar;varying float v_gamma_scale;varying float v_width;\n#pragma mapbox: define lowp float blur\n#pragma mapbox: define lowp float opacity\n#pragma mapbox: define lowp float offset\n#pragma mapbox: define mediump float gapwidth\n#pragma mapbox: define mediump float width\n#pragma mapbox: define lowp float floorwidth\n#pragma mapbox: define lowp vec4 pattern_from\n#pragma mapbox: define lowp vec4 pattern_to\n#pragma mapbox: define lowp float pixel_ratio_from\n#pragma mapbox: define lowp float pixel_ratio_to\nvoid main() {\n#pragma mapbox: initialize lowp float blur\n#pragma mapbox: initialize lowp float opacity\n#pragma mapbox: initialize lowp float offset\n#pragma mapbox: initialize mediump float gapwidth\n#pragma mapbox: initialize mediump float width\n#pragma mapbox: initialize lowp float floorwidth\n#pragma mapbox: initialize mediump vec4 pattern_from\n#pragma mapbox: initialize mediump vec4 pattern_to\n#pragma mapbox: initialize lowp float pixel_ratio_from\n#pragma mapbox: initialize lowp float pixel_ratio_to\nfloat ANTIALIASING=1.0/u_device_pixel_ratio/2.0;vec2 a_extrude=a_data.xy-128.0;float a_direction=mod(a_data.z,4.0)-1.0;float a_linesofar=(floor(a_data.z/4.0)+a_data.w*64.0)*LINE_DISTANCE_SCALE;vec2 pos=floor(a_pos_normal*0.5);mediump vec2 normal=a_pos_normal-2.0*pos;normal.y=normal.y*2.0-1.0;v_normal=normal;gapwidth=gapwidth/2.0;float halfwidth=width/2.0;offset=-1.0*offset;float inset=gapwidth+(gapwidth > 0.0 ? ANTIALIASING : 0.0);float outset=gapwidth+halfwidth*(gapwidth > 0.0 ? 2.0 : 1.0)+(halfwidth==0.0 ? 0.0 : ANTIALIASING);mediump vec2 dist=outset*a_extrude*scale;mediump float u=0.5*a_direction;mediump float t=1.0-abs(u);mediump vec2 offset2=offset*a_extrude*scale*normal.y*mat2(t,-u,u,t);vec4 projected_extrude=u_matrix*vec4(dist/u_ratio,0.0,0.0);gl_Position=u_matrix*vec4(pos+offset2/u_ratio,0.0,1.0)+projected_extrude;float extrude_length_without_perspective=length(dist);float extrude_length_with_perspective=length(projected_extrude.xy/gl_Position.w*u_units_to_pixels);v_gamma_scale=extrude_length_without_perspective/extrude_length_with_perspective;v_linesofar=a_linesofar;v_width2=vec2(outset,inset);v_width=floorwidth;}"),gr=_r("uniform lowp float u_device_pixel_ratio;uniform sampler2D u_image;uniform float u_sdfgamma;uniform float u_mix;varying vec2 v_normal;varying vec2 v_width2;varying vec2 v_tex_a;varying vec2 v_tex_b;varying float v_gamma_scale;\n#pragma mapbox: define highp vec4 color\n#pragma mapbox: define lowp float blur\n#pragma mapbox: define lowp float opacity\n#pragma mapbox: define mediump float width\n#pragma mapbox: define lowp float floorwidth\nvoid main() {\n#pragma mapbox: initialize highp vec4 color\n#pragma mapbox: initialize lowp float blur\n#pragma mapbox: initialize lowp float opacity\n#pragma mapbox: initialize mediump float width\n#pragma mapbox: initialize lowp float floorwidth\nfloat dist=length(v_normal)*v_width2.s;float blur2=(blur+1.0/u_device_pixel_ratio)*v_gamma_scale;float alpha=clamp(min(dist-(v_width2.t-blur2),v_width2.s-dist)/blur2,0.0,1.0);float sdfdist_a=texture2D(u_image,v_tex_a).a;float sdfdist_b=texture2D(u_image,v_tex_b).a;float sdfdist=mix(sdfdist_a,sdfdist_b,u_mix);alpha*=smoothstep(0.5-u_sdfgamma/floorwidth,0.5+u_sdfgamma/floorwidth,sdfdist);gl_FragColor=color*(alpha*opacity);\n#ifdef OVERDRAW_INSPECTOR\ngl_FragColor=vec4(1.0);\n#endif\n}","\n#define scale 0.015873016\n#define LINE_DISTANCE_SCALE 2.0\nattribute vec2 a_pos_normal;attribute vec4 a_data;uniform mat4 u_matrix;uniform mediump float u_ratio;uniform lowp float u_device_pixel_ratio;uniform vec2 u_patternscale_a;uniform float u_tex_y_a;uniform vec2 u_patternscale_b;uniform float u_tex_y_b;uniform vec2 u_units_to_pixels;varying vec2 v_normal;varying vec2 v_width2;varying vec2 v_tex_a;varying vec2 v_tex_b;varying float v_gamma_scale;\n#pragma mapbox: define highp vec4 color\n#pragma mapbox: define lowp float blur\n#pragma mapbox: define lowp float opacity\n#pragma mapbox: define mediump float gapwidth\n#pragma mapbox: define lowp float offset\n#pragma mapbox: define mediump float width\n#pragma mapbox: define lowp float floorwidth\nvoid main() {\n#pragma mapbox: initialize highp vec4 color\n#pragma mapbox: initialize lowp float blur\n#pragma mapbox: initialize lowp float opacity\n#pragma mapbox: initialize mediump float gapwidth\n#pragma mapbox: initialize lowp float offset\n#pragma mapbox: initialize mediump float width\n#pragma mapbox: initialize lowp float floorwidth\nfloat ANTIALIASING=1.0/u_device_pixel_ratio/2.0;vec2 a_extrude=a_data.xy-128.0;float a_direction=mod(a_data.z,4.0)-1.0;float a_linesofar=(floor(a_data.z/4.0)+a_data.w*64.0)*LINE_DISTANCE_SCALE;vec2 pos=floor(a_pos_normal*0.5);mediump vec2 normal=a_pos_normal-2.0*pos;normal.y=normal.y*2.0-1.0;v_normal=normal;gapwidth=gapwidth/2.0;float halfwidth=width/2.0;offset=-1.0*offset;float inset=gapwidth+(gapwidth > 0.0 ? ANTIALIASING : 0.0);float outset=gapwidth+halfwidth*(gapwidth > 0.0 ? 2.0 : 1.0)+(halfwidth==0.0 ? 0.0 : ANTIALIASING);mediump vec2 dist=outset*a_extrude*scale;mediump float u=0.5*a_direction;mediump float t=1.0-abs(u);mediump vec2 offset2=offset*a_extrude*scale*normal.y*mat2(t,-u,u,t);vec4 projected_extrude=u_matrix*vec4(dist/u_ratio,0.0,0.0);gl_Position=u_matrix*vec4(pos+offset2/u_ratio,0.0,1.0)+projected_extrude;float extrude_length_without_perspective=length(dist);float extrude_length_with_perspective=length(projected_extrude.xy/gl_Position.w*u_units_to_pixels);v_gamma_scale=extrude_length_without_perspective/extrude_length_with_perspective;v_tex_a=vec2(a_linesofar*u_patternscale_a.x/floorwidth,normal.y*u_patternscale_a.y+u_tex_y_a);v_tex_b=vec2(a_linesofar*u_patternscale_b.x/floorwidth,normal.y*u_patternscale_b.y+u_tex_y_b);v_width2=vec2(outset,inset);}"),yr=_r("uniform float u_fade_t;uniform float u_opacity;uniform sampler2D u_image0;uniform sampler2D u_image1;varying vec2 v_pos0;varying vec2 v_pos1;uniform float u_brightness_low;uniform float u_brightness_high;uniform float u_saturation_factor;uniform float u_contrast_factor;uniform vec3 u_spin_weights;void main() {vec4 color0=texture2D(u_image0,v_pos0);vec4 color1=texture2D(u_image1,v_pos1);if (color0.a > 0.0) {color0.rgb=color0.rgb/color0.a;}if (color1.a > 0.0) {color1.rgb=color1.rgb/color1.a;}vec4 color=mix(color0,color1,u_fade_t);color.a*=u_opacity;vec3 rgb=color.rgb;rgb=vec3(dot(rgb,u_spin_weights.xyz),dot(rgb,u_spin_weights.zxy),dot(rgb,u_spin_weights.yzx));float average=(color.r+color.g+color.b)/3.0;rgb+=(average-rgb)*u_saturation_factor;rgb=(rgb-0.5)*u_contrast_factor+0.5;vec3 u_high_vec=vec3(u_brightness_low,u_brightness_low,u_brightness_low);vec3 u_low_vec=vec3(u_brightness_high,u_brightness_high,u_brightness_high);gl_FragColor=vec4(mix(u_high_vec,u_low_vec,rgb)*color.a,color.a);\n#ifdef OVERDRAW_INSPECTOR\ngl_FragColor=vec4(1.0);\n#endif\n}","uniform mat4 u_matrix;uniform vec2 u_tl_parent;uniform float u_scale_parent;uniform float u_buffer_scale;attribute vec2 a_pos;attribute vec2 a_texture_pos;varying vec2 v_pos0;varying vec2 v_pos1;void main() {gl_Position=u_matrix*vec4(a_pos,0,1);v_pos0=(((a_texture_pos/8192.0)-0.5)/u_buffer_scale )+0.5;v_pos1=(v_pos0*u_scale_parent)+u_tl_parent;}"),mr=_r("uniform sampler2D u_texture;varying vec2 v_tex;varying float v_fade_opacity;\n#pragma mapbox: define lowp float opacity\nvoid main() {\n#pragma mapbox: initialize lowp float opacity\nlowp float alpha=opacity*v_fade_opacity;gl_FragColor=texture2D(u_texture,v_tex)*alpha;\n#ifdef OVERDRAW_INSPECTOR\ngl_FragColor=vec4(1.0);\n#endif\n}","const float PI=3.141592653589793;attribute vec4 a_pos_offset;attribute vec4 a_data;attribute vec4 a_pixeloffset;attribute vec3 a_projected_pos;attribute float a_fade_opacity;uniform bool u_is_size_zoom_constant;uniform bool u_is_size_feature_constant;uniform highp float u_size_t;uniform highp float u_size;uniform highp float u_camera_to_center_distance;uniform highp float u_pitch;uniform bool u_rotate_symbol;uniform highp float u_aspect_ratio;uniform float u_fade_change;uniform mat4 u_matrix;uniform mat4 u_label_plane_matrix;uniform mat4 u_coord_matrix;uniform bool u_is_text;uniform bool u_pitch_with_map;uniform vec2 u_texsize;varying vec2 v_tex;varying float v_fade_opacity;\n#pragma mapbox: define lowp float opacity\nvoid main() {\n#pragma mapbox: initialize lowp float opacity\nvec2 a_pos=a_pos_offset.xy;vec2 a_offset=a_pos_offset.zw;vec2 a_tex=a_data.xy;vec2 a_size=a_data.zw;float a_size_min=floor(a_size[0]*0.5);vec2 a_pxoffset=a_pixeloffset.xy;vec2 a_minFontScale=a_pixeloffset.zw/256.0;highp float segment_angle=-a_projected_pos[2];float size;if (!u_is_size_zoom_constant && !u_is_size_feature_constant) {size=mix(a_size_min,a_size[1],u_size_t)/128.0;} else if (u_is_size_zoom_constant && !u_is_size_feature_constant) {size=a_size_min/128.0;} else {size=u_size;}vec4 projectedPoint=u_matrix*vec4(a_pos,0,1);highp float camera_to_anchor_distance=projectedPoint.w;highp float distance_ratio=u_pitch_with_map ?\ncamera_to_anchor_distance/u_camera_to_center_distance :\nu_camera_to_center_distance/camera_to_anchor_distance;highp float perspective_ratio=clamp(0.5+0.5*distance_ratio,0.0,4.0);size*=perspective_ratio;float fontScale=u_is_text ? size/24.0 : size;highp float symbol_rotation=0.0;if (u_rotate_symbol) {vec4 offsetProjectedPoint=u_matrix*vec4(a_pos+vec2(1,0),0,1);vec2 a=projectedPoint.xy/projectedPoint.w;vec2 b=offsetProjectedPoint.xy/offsetProjectedPoint.w;symbol_rotation=atan((b.y-a.y)/u_aspect_ratio,b.x-a.x);}highp float angle_sin=sin(segment_angle+symbol_rotation);highp float angle_cos=cos(segment_angle+symbol_rotation);mat2 rotation_matrix=mat2(angle_cos,-1.0*angle_sin,angle_sin,angle_cos);vec4 projected_pos=u_label_plane_matrix*vec4(a_projected_pos.xy,0.0,1.0);gl_Position=u_coord_matrix*vec4(projected_pos.xy/projected_pos.w+rotation_matrix*(a_offset/32.0*max(a_minFontScale,fontScale)+a_pxoffset/16.0),0.0,1.0);v_tex=a_tex/u_texsize;vec2 fade_opacity=unpack_opacity(a_fade_opacity);float fade_change=fade_opacity[1] > 0.5 ? u_fade_change :-u_fade_change;v_fade_opacity=max(0.0,min(1.0,fade_opacity[0]+fade_change));}"),xr=_r("#define SDF_PX 8.0\nuniform bool u_is_halo;uniform sampler2D u_texture;uniform highp float u_gamma_scale;uniform lowp float u_device_pixel_ratio;uniform bool u_is_text;varying vec2 v_data0;varying vec3 v_data1;\n#pragma mapbox: define highp vec4 fill_color\n#pragma mapbox: define highp vec4 halo_color\n#pragma mapbox: define lowp float opacity\n#pragma mapbox: define lowp float halo_width\n#pragma mapbox: define lowp float halo_blur\nvoid main() {\n#pragma mapbox: initialize highp vec4 fill_color\n#pragma mapbox: initialize highp vec4 halo_color\n#pragma mapbox: initialize lowp float opacity\n#pragma mapbox: initialize lowp float halo_width\n#pragma mapbox: initialize lowp float halo_blur\nfloat EDGE_GAMMA=0.105/u_device_pixel_ratio;vec2 tex=v_data0.xy;float gamma_scale=v_data1.x;float size=v_data1.y;float fade_opacity=v_data1[2];float fontScale=u_is_text ? size/24.0 : size;lowp vec4 color=fill_color;highp float gamma=EDGE_GAMMA/(fontScale*u_gamma_scale);lowp float buff=(256.0-64.0)/256.0;if (u_is_halo) {color=halo_color;gamma=(halo_blur*1.19/SDF_PX+EDGE_GAMMA)/(fontScale*u_gamma_scale);buff=(6.0-halo_width/fontScale)/SDF_PX;}lowp float dist=texture2D(u_texture,tex).a;highp float gamma_scaled=gamma*gamma_scale;highp float alpha=smoothstep(buff-gamma_scaled,buff+gamma_scaled,dist);gl_FragColor=color*(alpha*opacity*fade_opacity);\n#ifdef OVERDRAW_INSPECTOR\ngl_FragColor=vec4(1.0);\n#endif\n}","const float PI=3.141592653589793;attribute vec4 a_pos_offset;attribute vec4 a_data;attribute vec4 a_pixeloffset;attribute vec3 a_projected_pos;attribute float a_fade_opacity;uniform bool u_is_size_zoom_constant;uniform bool u_is_size_feature_constant;uniform highp float u_size_t;uniform highp float u_size;uniform mat4 u_matrix;uniform mat4 u_label_plane_matrix;uniform mat4 u_coord_matrix;uniform bool u_is_text;uniform bool u_pitch_with_map;uniform highp float u_pitch;uniform bool u_rotate_symbol;uniform highp float u_aspect_ratio;uniform highp float u_camera_to_center_distance;uniform float u_fade_change;uniform vec2 u_texsize;varying vec2 v_data0;varying vec3 v_data1;\n#pragma mapbox: define highp vec4 fill_color\n#pragma mapbox: define highp vec4 halo_color\n#pragma mapbox: define lowp float opacity\n#pragma mapbox: define lowp float halo_width\n#pragma mapbox: define lowp float halo_blur\nvoid main() {\n#pragma mapbox: initialize highp vec4 fill_color\n#pragma mapbox: initialize highp vec4 halo_color\n#pragma mapbox: initialize lowp float opacity\n#pragma mapbox: initialize lowp float halo_width\n#pragma mapbox: initialize lowp float halo_blur\nvec2 a_pos=a_pos_offset.xy;vec2 a_offset=a_pos_offset.zw;vec2 a_tex=a_data.xy;vec2 a_size=a_data.zw;float a_size_min=floor(a_size[0]*0.5);vec2 a_pxoffset=a_pixeloffset.xy;highp float segment_angle=-a_projected_pos[2];float size;if (!u_is_size_zoom_constant && !u_is_size_feature_constant) {size=mix(a_size_min,a_size[1],u_size_t)/128.0;} else if (u_is_size_zoom_constant && !u_is_size_feature_constant) {size=a_size_min/128.0;} else {size=u_size;}vec4 projectedPoint=u_matrix*vec4(a_pos,0,1);highp float camera_to_anchor_distance=projectedPoint.w;highp float distance_ratio=u_pitch_with_map ?\ncamera_to_anchor_distance/u_camera_to_center_distance :\nu_camera_to_center_distance/camera_to_anchor_distance;highp float perspective_ratio=clamp(0.5+0.5*distance_ratio,0.0,4.0);size*=perspective_ratio;float fontScale=u_is_text ? size/24.0 : size;highp float symbol_rotation=0.0;if (u_rotate_symbol) {vec4 offsetProjectedPoint=u_matrix*vec4(a_pos+vec2(1,0),0,1);vec2 a=projectedPoint.xy/projectedPoint.w;vec2 b=offsetProjectedPoint.xy/offsetProjectedPoint.w;symbol_rotation=atan((b.y-a.y)/u_aspect_ratio,b.x-a.x);}highp float angle_sin=sin(segment_angle+symbol_rotation);highp float angle_cos=cos(segment_angle+symbol_rotation);mat2 rotation_matrix=mat2(angle_cos,-1.0*angle_sin,angle_sin,angle_cos);vec4 projected_pos=u_label_plane_matrix*vec4(a_projected_pos.xy,0.0,1.0);gl_Position=u_coord_matrix*vec4(projected_pos.xy/projected_pos.w+rotation_matrix*(a_offset/32.0*fontScale+a_pxoffset),0.0,1.0);float gamma_scale=gl_Position.w;vec2 fade_opacity=unpack_opacity(a_fade_opacity);float fade_change=fade_opacity[1] > 0.5 ? u_fade_change :-u_fade_change;float interpolated_fade_opacity=max(0.0,min(1.0,fade_opacity[0]+fade_change));v_data0=a_tex/u_texsize;v_data1=vec3(gamma_scale,size,interpolated_fade_opacity);}"),br=_r("#define SDF_PX 8.0\n#define SDF 1.0\n#define ICON 0.0\nuniform bool u_is_halo;uniform sampler2D u_texture;uniform sampler2D u_texture_icon;uniform highp float u_gamma_scale;uniform lowp float u_device_pixel_ratio;varying vec4 v_data0;varying vec4 v_data1;\n#pragma mapbox: define highp vec4 fill_color\n#pragma mapbox: define highp vec4 halo_color\n#pragma mapbox: define lowp float opacity\n#pragma mapbox: define lowp float halo_width\n#pragma mapbox: define lowp float halo_blur\nvoid main() {\n#pragma mapbox: initialize highp vec4 fill_color\n#pragma mapbox: initialize highp vec4 halo_color\n#pragma mapbox: initialize lowp float opacity\n#pragma mapbox: initialize lowp float halo_width\n#pragma mapbox: initialize lowp float halo_blur\nfloat fade_opacity=v_data1[2];if (v_data1.w==ICON) {vec2 tex_icon=v_data0.zw;lowp float alpha=opacity*fade_opacity;gl_FragColor=texture2D(u_texture_icon,tex_icon)*alpha;\n#ifdef OVERDRAW_INSPECTOR\ngl_FragColor=vec4(1.0);\n#endif\nreturn;}vec2 tex=v_data0.xy;float EDGE_GAMMA=0.105/u_device_pixel_ratio;float gamma_scale=v_data1.x;float size=v_data1.y;float fontScale=size/24.0;lowp vec4 color=fill_color;highp float gamma=EDGE_GAMMA/(fontScale*u_gamma_scale);lowp float buff=(256.0-64.0)/256.0;if (u_is_halo) {color=halo_color;gamma=(halo_blur*1.19/SDF_PX+EDGE_GAMMA)/(fontScale*u_gamma_scale);buff=(6.0-halo_width/fontScale)/SDF_PX;}lowp float dist=texture2D(u_texture,tex).a;highp float gamma_scaled=gamma*gamma_scale;highp float alpha=smoothstep(buff-gamma_scaled,buff+gamma_scaled,dist);gl_FragColor=color*(alpha*opacity*fade_opacity);\n#ifdef OVERDRAW_INSPECTOR\ngl_FragColor=vec4(1.0);\n#endif\n}","const float PI=3.141592653589793;attribute vec4 a_pos_offset;attribute vec4 a_data;attribute vec3 a_projected_pos;attribute float a_fade_opacity;uniform bool u_is_size_zoom_constant;uniform bool u_is_size_feature_constant;uniform highp float u_size_t;uniform highp float u_size;uniform mat4 u_matrix;uniform mat4 u_label_plane_matrix;uniform mat4 u_coord_matrix;uniform bool u_is_text;uniform bool u_pitch_with_map;uniform highp float u_pitch;uniform bool u_rotate_symbol;uniform highp float u_aspect_ratio;uniform highp float u_camera_to_center_distance;uniform float u_fade_change;uniform vec2 u_texsize;uniform vec2 u_texsize_icon;varying vec4 v_data0;varying vec4 v_data1;\n#pragma mapbox: define highp vec4 fill_color\n#pragma mapbox: define highp vec4 halo_color\n#pragma mapbox: define lowp float opacity\n#pragma mapbox: define lowp float halo_width\n#pragma mapbox: define lowp float halo_blur\nvoid main() {\n#pragma mapbox: initialize highp vec4 fill_color\n#pragma mapbox: initialize highp vec4 halo_color\n#pragma mapbox: initialize lowp float opacity\n#pragma mapbox: initialize lowp float halo_width\n#pragma mapbox: initialize lowp float halo_blur\nvec2 a_pos=a_pos_offset.xy;vec2 a_offset=a_pos_offset.zw;vec2 a_tex=a_data.xy;vec2 a_size=a_data.zw;float a_size_min=floor(a_size[0]*0.5);float is_sdf=a_size[0]-2.0*a_size_min;highp float segment_angle=-a_projected_pos[2];float size;if (!u_is_size_zoom_constant && !u_is_size_feature_constant) {size=mix(a_size_min,a_size[1],u_size_t)/128.0;} else if (u_is_size_zoom_constant && !u_is_size_feature_constant) {size=a_size_min/128.0;} else {size=u_size;}vec4 projectedPoint=u_matrix*vec4(a_pos,0,1);highp float camera_to_anchor_distance=projectedPoint.w;highp float distance_ratio=u_pitch_with_map ?\ncamera_to_anchor_distance/u_camera_to_center_distance :\nu_camera_to_center_distance/camera_to_anchor_distance;highp float perspective_ratio=clamp(0.5+0.5*distance_ratio,0.0,4.0);size*=perspective_ratio;float fontScale=size/24.0;highp float symbol_rotation=0.0;if (u_rotate_symbol) {vec4 offsetProjectedPoint=u_matrix*vec4(a_pos+vec2(1,0),0,1);vec2 a=projectedPoint.xy/projectedPoint.w;vec2 b=offsetProjectedPoint.xy/offsetProjectedPoint.w;symbol_rotation=atan((b.y-a.y)/u_aspect_ratio,b.x-a.x);}highp float angle_sin=sin(segment_angle+symbol_rotation);highp float angle_cos=cos(segment_angle+symbol_rotation);mat2 rotation_matrix=mat2(angle_cos,-1.0*angle_sin,angle_sin,angle_cos);vec4 projected_pos=u_label_plane_matrix*vec4(a_projected_pos.xy,0.0,1.0);gl_Position=u_coord_matrix*vec4(projected_pos.xy/projected_pos.w+rotation_matrix*(a_offset/32.0*fontScale),0.0,1.0);float gamma_scale=gl_Position.w;vec2 fade_opacity=unpack_opacity(a_fade_opacity);float fade_change=fade_opacity[1] > 0.5 ? u_fade_change :-u_fade_change;float interpolated_fade_opacity=max(0.0,min(1.0,fade_opacity[0]+fade_change));v_data0.xy=a_tex/u_texsize;v_data0.zw=a_tex/u_texsize_icon;v_data1=vec4(gamma_scale,size,interpolated_fade_opacity,is_sdf);}");function _r(t,e){var r=/#pragma mapbox: ([\w]+) ([\w]+) ([\w]+) ([\w]+)/g,n=e.match(/attribute ([\w]+) ([\w]+)/g),i=t.match(/uniform ([\w]+) ([\w]+)([\s]*)([\w]*)/g),a=e.match(/uniform ([\w]+) ([\w]+)([\s]*)([\w]*)/g),o=a?a.concat(i):i,s={};return{fragmentSource:t=t.replace(r,(function(t,e,r,n,i){return s[i]=!0,"define"===e?"\n#ifndef HAS_UNIFORM_u_"+i+"\nvarying "+r+" "+n+" "+i+";\n#else\nuniform "+r+" "+n+" u_"+i+";\n#endif\n":"\n#ifdef HAS_UNIFORM_u_"+i+"\n "+r+" "+n+" "+i+" = u_"+i+";\n#endif\n"})),vertexSource:e=e.replace(r,(function(t,e,r,n,i){var a="float"===n?"vec2":"vec4",o=i.match(/color/)?"color":a;return s[i]?"define"===e?"\n#ifndef HAS_UNIFORM_u_"+i+"\nuniform lowp float u_"+i+"_t;\nattribute "+r+" "+a+" a_"+i+";\nvarying "+r+" "+n+" "+i+";\n#else\nuniform "+r+" "+n+" u_"+i+";\n#endif\n":"vec4"===o?"\n#ifndef HAS_UNIFORM_u_"+i+"\n "+i+" = a_"+i+";\n#else\n "+r+" "+n+" "+i+" = u_"+i+";\n#endif\n":"\n#ifndef HAS_UNIFORM_u_"+i+"\n "+i+" = unpack_mix_"+o+"(a_"+i+", u_"+i+"_t);\n#else\n "+r+" "+n+" "+i+" = u_"+i+";\n#endif\n":"define"===e?"\n#ifndef HAS_UNIFORM_u_"+i+"\nuniform lowp float u_"+i+"_t;\nattribute "+r+" "+a+" a_"+i+";\n#else\nuniform "+r+" "+n+" u_"+i+";\n#endif\n":"vec4"===o?"\n#ifndef HAS_UNIFORM_u_"+i+"\n "+r+" "+n+" "+i+" = a_"+i+";\n#else\n "+r+" "+n+" "+i+" = u_"+i+";\n#endif\n":"\n#ifndef HAS_UNIFORM_u_"+i+"\n "+r+" "+n+" "+i+" = unpack_mix_"+o+"(a_"+i+", u_"+i+"_t);\n#else\n "+r+" "+n+" "+i+" = u_"+i+";\n#endif\n"})),staticAttributes:n,staticUniforms:o}}var wr=Object.freeze({__proto__:null,prelude:Ze,background:Ke,backgroundPattern:Je,circle:$e,clippingMask:Qe,heatmap:tr,heatmapTexture:er,collisionBox:rr,collisionCircle:nr,debug:ir,fill:ar,fillOutline:or,fillOutlinePattern:sr,fillPattern:lr,fillExtrusion:ur,fillExtrusionPattern:cr,hillshadePrepare:fr,hillshade:hr,line:pr,lineGradient:dr,linePattern:vr,lineSDF:gr,raster:yr,symbolIcon:mr,symbolSDF:xr,symbolTextAndIcon:br}),Tr=function(){this.boundProgram=null,this.boundLayoutVertexBuffer=null,this.boundPaintVertexBuffers=[],this.boundIndexBuffer=null,this.boundVertexOffset=null,this.boundDynamicVertexBuffer=null,this.vao=null};function kr(t){for(var e=[],r=0;r>16,s>>16],u_pixel_coord_lower:[65535&o,65535&s]}}Ar.prototype.draw=function(t,e,r,n,i,a,o,s,l,u,c,f,h,p,d,v){var g,y=t.gl;if(!this.failedToCreate){for(var m in t.program.set(this.program),t.setDepthMode(r),t.setStencilMode(n),t.setColorMode(i),t.setCullFace(a),this.fixedUniforms)this.fixedUniforms[m].set(o[m]);p&&p.setUniforms(t,this.binderUniforms,f,{zoom:h});for(var x=(g={},g[y.LINES]=2,g[y.TRIANGLES]=3,g[y.LINE_STRIP]=1,g)[e],b=0,_=c.get();b<_.length;b+=1){var w=_[b],T=w.vaos||(w.vaos={});(T[s]||(T[s]=new Tr)).bind(t,this,l,p?p.getPaintVertexBuffers():[],u,w.vertexOffset,d,v),y.drawElements(e,w.primitiveLength*x,y.UNSIGNED_SHORT,w.primitiveOffset*x*2)}}};var Sr=function(e,r,n,i){var a=r.style.light,o=a.properties.get("position"),s=[o.x,o.y,o.z],l=t.create$1();"viewport"===a.properties.get("anchor")&&t.fromRotation(l,-r.transform.angle),t.transformMat3(s,s,l);var u=a.properties.get("color");return{u_matrix:e,u_lightpos:s,u_lightintensity:a.properties.get("intensity"),u_lightcolor:[u.r,u.g,u.b],u_vertical_gradient:+n,u_opacity:i}},Er=function(e,r,n,i,a,o,s){return t.extend(Sr(e,r,n,i),Mr(o,r,s),{u_height_factor:-Math.pow(2,a.overscaledZ)/s.tileSize/8})},Lr=function(t){return{u_matrix:t}},Cr=function(e,r,n,i){return t.extend(Lr(e),Mr(n,r,i))},Pr=function(t,e){return{u_matrix:t,u_world:e}},Or=function(e,r,n,i,a){return t.extend(Cr(e,r,n,i),{u_world:a})},Ir=function(e,r,n,i){var a,o,s=e.transform;if("map"===i.paint.get("circle-pitch-alignment")){var l=ge(n,1,s.zoom);a=!0,o=[l,l]}else a=!1,o=s.pixelsToGLUnits;return{u_camera_to_center_distance:s.cameraToCenterDistance,u_scale_with_map:+("map"===i.paint.get("circle-pitch-scale")),u_matrix:e.translatePosMatrix(r.posMatrix,n,i.paint.get("circle-translate"),i.paint.get("circle-translate-anchor")),u_pitch_with_map:+a,u_device_pixel_ratio:t.browser.devicePixelRatio,u_extrude_scale:o}},Dr=function(t,e,r){var n=ge(r,1,e.zoom),i=Math.pow(2,e.zoom-r.tileID.overscaledZ),a=r.tileID.overscaleFactor();return{u_matrix:t,u_camera_to_center_distance:e.cameraToCenterDistance,u_pixels_to_tile_units:n,u_extrude_scale:[e.pixelsToGLUnits[0]/(n*i),e.pixelsToGLUnits[1]/(n*i)],u_overscale_factor:a}},zr=function(t,e,r){return{u_matrix:t,u_inv_matrix:e,u_camera_to_center_distance:r.cameraToCenterDistance,u_viewport_size:[r.width,r.height]}},Rr=function(t,e,r){return void 0===r&&(r=1),{u_matrix:t,u_color:e,u_overlay:0,u_overlay_scale:r}},Fr=function(t){return{u_matrix:t}},Br=function(t,e,r,n){return{u_matrix:t,u_extrude_scale:ge(e,1,r),u_intensity:n}},Nr=function(e,r,n,i){var a=t.create();t.ortho(a,0,e.width,e.height,0,0,1);var o=e.context.gl;return{u_matrix:a,u_world:[o.drawingBufferWidth,o.drawingBufferHeight],u_image:n,u_color_ramp:i,u_opacity:r.paint.get("heatmap-opacity")}},jr=function(e,r,n){var i=n.paint.get("hillshade-shadow-color"),a=n.paint.get("hillshade-highlight-color"),o=n.paint.get("hillshade-accent-color"),s=n.paint.get("hillshade-illumination-direction")*(Math.PI/180);"viewport"===n.paint.get("hillshade-illumination-anchor")&&(s-=e.transform.angle);var l,u,c,f=!e.options.moving;return{u_matrix:e.transform.calculatePosMatrix(r.tileID.toUnwrapped(),f),u_image:0,u_latrange:(l=r.tileID,u=Math.pow(2,l.canonical.z),c=l.canonical.y,[new t.MercatorCoordinate(0,c/u).toLngLat().lat,new t.MercatorCoordinate(0,(c+1)/u).toLngLat().lat]),u_light:[n.paint.get("hillshade-exaggeration"),s],u_shadow:i,u_highlight:a,u_accent:o}},Ur=function(e,r){var n=r.stride,i=t.create();return t.ortho(i,0,t.EXTENT,-t.EXTENT,0,0,1),t.translate(i,i,[0,-t.EXTENT,0]),{u_matrix:i,u_image:1,u_dimension:[n,n],u_zoom:e.overscaledZ,u_unpack:r.getUnpackVector()}};var Vr=function(e,r,n){var i=e.transform;return{u_matrix:Yr(e,r,n),u_ratio:1/ge(r,1,i.zoom),u_device_pixel_ratio:t.browser.devicePixelRatio,u_units_to_pixels:[1/i.pixelsToGLUnits[0],1/i.pixelsToGLUnits[1]]}},qr=function(e,r,n,i){return t.extend(Vr(e,r,n),{u_image:0,u_image_height:i})},Hr=function(e,r,n,i){var a=e.transform,o=Wr(r,a);return{u_matrix:Yr(e,r,n),u_texsize:r.imageAtlasTexture.size,u_ratio:1/ge(r,1,a.zoom),u_device_pixel_ratio:t.browser.devicePixelRatio,u_image:0,u_scale:[o,i.fromScale,i.toScale],u_fade:i.t,u_units_to_pixels:[1/a.pixelsToGLUnits[0],1/a.pixelsToGLUnits[1]]}},Gr=function(e,r,n,i,a){var o=e.transform,s=e.lineAtlas,l=Wr(r,o),u="round"===n.layout.get("line-cap"),c=s.getDash(i.from,u),f=s.getDash(i.to,u),h=c.width*a.fromScale,p=f.width*a.toScale;return t.extend(Vr(e,r,n),{u_patternscale_a:[l/h,-c.height/2],u_patternscale_b:[l/p,-f.height/2],u_sdfgamma:s.width/(256*Math.min(h,p)*t.browser.devicePixelRatio)/2,u_image:0,u_tex_y_a:c.y,u_tex_y_b:f.y,u_mix:a.t})};function Wr(t,e){return 1/ge(t,1,e.tileZoom)}function Yr(t,e,r){return t.translatePosMatrix(e.tileID.posMatrix,e,r.paint.get("line-translate"),r.paint.get("line-translate-anchor"))}var Xr=function(t,e,r,n,i){return{u_matrix:t,u_tl_parent:e,u_scale_parent:r,u_buffer_scale:1,u_fade_t:n.mix,u_opacity:n.opacity*i.paint.get("raster-opacity"),u_image0:0,u_image1:1,u_brightness_low:i.paint.get("raster-brightness-min"),u_brightness_high:i.paint.get("raster-brightness-max"),u_saturation_factor:(o=i.paint.get("raster-saturation"),o>0?1-1/(1.001-o):-o),u_contrast_factor:(a=i.paint.get("raster-contrast"),a>0?1/(1-a):1+a),u_spin_weights:Zr(i.paint.get("raster-hue-rotate"))};var a,o};function Zr(t){t*=Math.PI/180;var e=Math.sin(t),r=Math.cos(t);return[(2*r+1)/3,(-Math.sqrt(3)*e-r+1)/3,(Math.sqrt(3)*e-r+1)/3]}var Kr,Jr=function(t,e,r,n,i,a,o,s,l,u){var c=i.transform;return{u_is_size_zoom_constant:+("constant"===t||"source"===t),u_is_size_feature_constant:+("constant"===t||"camera"===t),u_size_t:e?e.uSizeT:0,u_size:e?e.uSize:0,u_camera_to_center_distance:c.cameraToCenterDistance,u_pitch:c.pitch/360*2*Math.PI,u_rotate_symbol:+r,u_aspect_ratio:c.width/c.height,u_fade_change:i.options.fadeDuration?i.symbolFadeChange:1,u_matrix:a,u_label_plane_matrix:o,u_coord_matrix:s,u_is_text:+l,u_pitch_with_map:+n,u_texsize:u,u_texture:0}},$r=function(e,r,n,i,a,o,s,l,u,c,f){var h=a.transform;return t.extend(Jr(e,r,n,i,a,o,s,l,u,c),{u_gamma_scale:i?Math.cos(h._pitch)*h.cameraToCenterDistance:1,u_device_pixel_ratio:t.browser.devicePixelRatio,u_is_halo:+f})},Qr=function(e,r,n,i,a,o,s,l,u,c){return t.extend($r(e,r,n,i,a,o,s,l,!0,u,!0),{u_texsize_icon:c,u_texture_icon:1})},tn=function(t,e,r){return{u_matrix:t,u_opacity:e,u_color:r}},en=function(e,r,n,i,a,o){return t.extend(function(t,e,r,n){var i=r.imageManager.getPattern(t.from.toString()),a=r.imageManager.getPattern(t.to.toString()),o=r.imageManager.getPixelSize(),s=o.width,l=o.height,u=Math.pow(2,n.tileID.overscaledZ),c=n.tileSize*Math.pow(2,r.transform.tileZoom)/u,f=c*(n.tileID.canonical.x+n.tileID.wrap*u),h=c*n.tileID.canonical.y;return{u_image:0,u_pattern_tl_a:i.tl,u_pattern_br_a:i.br,u_pattern_tl_b:a.tl,u_pattern_br_b:a.br,u_texsize:[s,l],u_mix:e.t,u_pattern_size_a:i.displaySize,u_pattern_size_b:a.displaySize,u_scale_a:e.fromScale,u_scale_b:e.toScale,u_tile_units_to_pixels:1/ge(n,1,r.transform.tileZoom),u_pixel_coord_upper:[f>>16,h>>16],u_pixel_coord_lower:[65535&f,65535&h]}}(i,o,n,a),{u_matrix:e,u_opacity:r})},rn={fillExtrusion:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_lightpos:new t.Uniform3f(e,r.u_lightpos),u_lightintensity:new t.Uniform1f(e,r.u_lightintensity),u_lightcolor:new t.Uniform3f(e,r.u_lightcolor),u_vertical_gradient:new t.Uniform1f(e,r.u_vertical_gradient),u_opacity:new t.Uniform1f(e,r.u_opacity)}},fillExtrusionPattern:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_lightpos:new t.Uniform3f(e,r.u_lightpos),u_lightintensity:new t.Uniform1f(e,r.u_lightintensity),u_lightcolor:new t.Uniform3f(e,r.u_lightcolor),u_vertical_gradient:new t.Uniform1f(e,r.u_vertical_gradient),u_height_factor:new t.Uniform1f(e,r.u_height_factor),u_image:new t.Uniform1i(e,r.u_image),u_texsize:new t.Uniform2f(e,r.u_texsize),u_pixel_coord_upper:new t.Uniform2f(e,r.u_pixel_coord_upper),u_pixel_coord_lower:new t.Uniform2f(e,r.u_pixel_coord_lower),u_scale:new t.Uniform3f(e,r.u_scale),u_fade:new t.Uniform1f(e,r.u_fade),u_opacity:new t.Uniform1f(e,r.u_opacity)}},fill:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix)}},fillPattern:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_image:new t.Uniform1i(e,r.u_image),u_texsize:new t.Uniform2f(e,r.u_texsize),u_pixel_coord_upper:new t.Uniform2f(e,r.u_pixel_coord_upper),u_pixel_coord_lower:new t.Uniform2f(e,r.u_pixel_coord_lower),u_scale:new t.Uniform3f(e,r.u_scale),u_fade:new t.Uniform1f(e,r.u_fade)}},fillOutline:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_world:new t.Uniform2f(e,r.u_world)}},fillOutlinePattern:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_world:new t.Uniform2f(e,r.u_world),u_image:new t.Uniform1i(e,r.u_image),u_texsize:new t.Uniform2f(e,r.u_texsize),u_pixel_coord_upper:new t.Uniform2f(e,r.u_pixel_coord_upper),u_pixel_coord_lower:new t.Uniform2f(e,r.u_pixel_coord_lower),u_scale:new t.Uniform3f(e,r.u_scale),u_fade:new t.Uniform1f(e,r.u_fade)}},circle:function(e,r){return{u_camera_to_center_distance:new t.Uniform1f(e,r.u_camera_to_center_distance),u_scale_with_map:new t.Uniform1i(e,r.u_scale_with_map),u_pitch_with_map:new t.Uniform1i(e,r.u_pitch_with_map),u_extrude_scale:new t.Uniform2f(e,r.u_extrude_scale),u_device_pixel_ratio:new t.Uniform1f(e,r.u_device_pixel_ratio),u_matrix:new t.UniformMatrix4f(e,r.u_matrix)}},collisionBox:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_camera_to_center_distance:new t.Uniform1f(e,r.u_camera_to_center_distance),u_pixels_to_tile_units:new t.Uniform1f(e,r.u_pixels_to_tile_units),u_extrude_scale:new t.Uniform2f(e,r.u_extrude_scale),u_overscale_factor:new t.Uniform1f(e,r.u_overscale_factor)}},collisionCircle:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_inv_matrix:new t.UniformMatrix4f(e,r.u_inv_matrix),u_camera_to_center_distance:new t.Uniform1f(e,r.u_camera_to_center_distance),u_viewport_size:new t.Uniform2f(e,r.u_viewport_size)}},debug:function(e,r){return{u_color:new t.UniformColor(e,r.u_color),u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_overlay:new t.Uniform1i(e,r.u_overlay),u_overlay_scale:new t.Uniform1f(e,r.u_overlay_scale)}},clippingMask:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix)}},heatmap:function(e,r){return{u_extrude_scale:new t.Uniform1f(e,r.u_extrude_scale),u_intensity:new t.Uniform1f(e,r.u_intensity),u_matrix:new t.UniformMatrix4f(e,r.u_matrix)}},heatmapTexture:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_world:new t.Uniform2f(e,r.u_world),u_image:new t.Uniform1i(e,r.u_image),u_color_ramp:new t.Uniform1i(e,r.u_color_ramp),u_opacity:new t.Uniform1f(e,r.u_opacity)}},hillshade:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_image:new t.Uniform1i(e,r.u_image),u_latrange:new t.Uniform2f(e,r.u_latrange),u_light:new t.Uniform2f(e,r.u_light),u_shadow:new t.UniformColor(e,r.u_shadow),u_highlight:new t.UniformColor(e,r.u_highlight),u_accent:new t.UniformColor(e,r.u_accent)}},hillshadePrepare:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_image:new t.Uniform1i(e,r.u_image),u_dimension:new t.Uniform2f(e,r.u_dimension),u_zoom:new t.Uniform1f(e,r.u_zoom),u_unpack:new t.Uniform4f(e,r.u_unpack)}},line:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_ratio:new t.Uniform1f(e,r.u_ratio),u_device_pixel_ratio:new t.Uniform1f(e,r.u_device_pixel_ratio),u_units_to_pixels:new t.Uniform2f(e,r.u_units_to_pixels)}},lineGradient:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_ratio:new t.Uniform1f(e,r.u_ratio),u_device_pixel_ratio:new t.Uniform1f(e,r.u_device_pixel_ratio),u_units_to_pixels:new t.Uniform2f(e,r.u_units_to_pixels),u_image:new t.Uniform1i(e,r.u_image),u_image_height:new t.Uniform1f(e,r.u_image_height)}},linePattern:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_texsize:new t.Uniform2f(e,r.u_texsize),u_ratio:new t.Uniform1f(e,r.u_ratio),u_device_pixel_ratio:new t.Uniform1f(e,r.u_device_pixel_ratio),u_image:new t.Uniform1i(e,r.u_image),u_units_to_pixels:new t.Uniform2f(e,r.u_units_to_pixels),u_scale:new t.Uniform3f(e,r.u_scale),u_fade:new t.Uniform1f(e,r.u_fade)}},lineSDF:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_ratio:new t.Uniform1f(e,r.u_ratio),u_device_pixel_ratio:new t.Uniform1f(e,r.u_device_pixel_ratio),u_units_to_pixels:new t.Uniform2f(e,r.u_units_to_pixels),u_patternscale_a:new t.Uniform2f(e,r.u_patternscale_a),u_patternscale_b:new t.Uniform2f(e,r.u_patternscale_b),u_sdfgamma:new t.Uniform1f(e,r.u_sdfgamma),u_image:new t.Uniform1i(e,r.u_image),u_tex_y_a:new t.Uniform1f(e,r.u_tex_y_a),u_tex_y_b:new t.Uniform1f(e,r.u_tex_y_b),u_mix:new t.Uniform1f(e,r.u_mix)}},raster:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_tl_parent:new t.Uniform2f(e,r.u_tl_parent),u_scale_parent:new t.Uniform1f(e,r.u_scale_parent),u_buffer_scale:new t.Uniform1f(e,r.u_buffer_scale),u_fade_t:new t.Uniform1f(e,r.u_fade_t),u_opacity:new t.Uniform1f(e,r.u_opacity),u_image0:new t.Uniform1i(e,r.u_image0),u_image1:new t.Uniform1i(e,r.u_image1),u_brightness_low:new t.Uniform1f(e,r.u_brightness_low),u_brightness_high:new t.Uniform1f(e,r.u_brightness_high),u_saturation_factor:new t.Uniform1f(e,r.u_saturation_factor),u_contrast_factor:new t.Uniform1f(e,r.u_contrast_factor),u_spin_weights:new t.Uniform3f(e,r.u_spin_weights)}},symbolIcon:function(e,r){return{u_is_size_zoom_constant:new t.Uniform1i(e,r.u_is_size_zoom_constant),u_is_size_feature_constant:new t.Uniform1i(e,r.u_is_size_feature_constant),u_size_t:new t.Uniform1f(e,r.u_size_t),u_size:new t.Uniform1f(e,r.u_size),u_camera_to_center_distance:new t.Uniform1f(e,r.u_camera_to_center_distance),u_pitch:new t.Uniform1f(e,r.u_pitch),u_rotate_symbol:new t.Uniform1i(e,r.u_rotate_symbol),u_aspect_ratio:new t.Uniform1f(e,r.u_aspect_ratio),u_fade_change:new t.Uniform1f(e,r.u_fade_change),u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_label_plane_matrix:new t.UniformMatrix4f(e,r.u_label_plane_matrix),u_coord_matrix:new t.UniformMatrix4f(e,r.u_coord_matrix),u_is_text:new t.Uniform1i(e,r.u_is_text),u_pitch_with_map:new t.Uniform1i(e,r.u_pitch_with_map),u_texsize:new t.Uniform2f(e,r.u_texsize),u_texture:new t.Uniform1i(e,r.u_texture)}},symbolSDF:function(e,r){return{u_is_size_zoom_constant:new t.Uniform1i(e,r.u_is_size_zoom_constant),u_is_size_feature_constant:new t.Uniform1i(e,r.u_is_size_feature_constant),u_size_t:new t.Uniform1f(e,r.u_size_t),u_size:new t.Uniform1f(e,r.u_size),u_camera_to_center_distance:new t.Uniform1f(e,r.u_camera_to_center_distance),u_pitch:new t.Uniform1f(e,r.u_pitch),u_rotate_symbol:new t.Uniform1i(e,r.u_rotate_symbol),u_aspect_ratio:new t.Uniform1f(e,r.u_aspect_ratio),u_fade_change:new t.Uniform1f(e,r.u_fade_change),u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_label_plane_matrix:new t.UniformMatrix4f(e,r.u_label_plane_matrix),u_coord_matrix:new t.UniformMatrix4f(e,r.u_coord_matrix),u_is_text:new t.Uniform1i(e,r.u_is_text),u_pitch_with_map:new t.Uniform1i(e,r.u_pitch_with_map),u_texsize:new t.Uniform2f(e,r.u_texsize),u_texture:new t.Uniform1i(e,r.u_texture),u_gamma_scale:new t.Uniform1f(e,r.u_gamma_scale),u_device_pixel_ratio:new t.Uniform1f(e,r.u_device_pixel_ratio),u_is_halo:new t.Uniform1i(e,r.u_is_halo)}},symbolTextAndIcon:function(e,r){return{u_is_size_zoom_constant:new t.Uniform1i(e,r.u_is_size_zoom_constant),u_is_size_feature_constant:new t.Uniform1i(e,r.u_is_size_feature_constant),u_size_t:new t.Uniform1f(e,r.u_size_t),u_size:new t.Uniform1f(e,r.u_size),u_camera_to_center_distance:new t.Uniform1f(e,r.u_camera_to_center_distance),u_pitch:new t.Uniform1f(e,r.u_pitch),u_rotate_symbol:new t.Uniform1i(e,r.u_rotate_symbol),u_aspect_ratio:new t.Uniform1f(e,r.u_aspect_ratio),u_fade_change:new t.Uniform1f(e,r.u_fade_change),u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_label_plane_matrix:new t.UniformMatrix4f(e,r.u_label_plane_matrix),u_coord_matrix:new t.UniformMatrix4f(e,r.u_coord_matrix),u_is_text:new t.Uniform1i(e,r.u_is_text),u_pitch_with_map:new t.Uniform1i(e,r.u_pitch_with_map),u_texsize:new t.Uniform2f(e,r.u_texsize),u_texsize_icon:new t.Uniform2f(e,r.u_texsize_icon),u_texture:new t.Uniform1i(e,r.u_texture),u_texture_icon:new t.Uniform1i(e,r.u_texture_icon),u_gamma_scale:new t.Uniform1f(e,r.u_gamma_scale),u_device_pixel_ratio:new t.Uniform1f(e,r.u_device_pixel_ratio),u_is_halo:new t.Uniform1i(e,r.u_is_halo)}},background:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_opacity:new t.Uniform1f(e,r.u_opacity),u_color:new t.UniformColor(e,r.u_color)}},backgroundPattern:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_opacity:new t.Uniform1f(e,r.u_opacity),u_image:new t.Uniform1i(e,r.u_image),u_pattern_tl_a:new t.Uniform2f(e,r.u_pattern_tl_a),u_pattern_br_a:new t.Uniform2f(e,r.u_pattern_br_a),u_pattern_tl_b:new t.Uniform2f(e,r.u_pattern_tl_b),u_pattern_br_b:new t.Uniform2f(e,r.u_pattern_br_b),u_texsize:new t.Uniform2f(e,r.u_texsize),u_mix:new t.Uniform1f(e,r.u_mix),u_pattern_size_a:new t.Uniform2f(e,r.u_pattern_size_a),u_pattern_size_b:new t.Uniform2f(e,r.u_pattern_size_b),u_scale_a:new t.Uniform1f(e,r.u_scale_a),u_scale_b:new t.Uniform1f(e,r.u_scale_b),u_pixel_coord_upper:new t.Uniform2f(e,r.u_pixel_coord_upper),u_pixel_coord_lower:new t.Uniform2f(e,r.u_pixel_coord_lower),u_tile_units_to_pixels:new t.Uniform1f(e,r.u_tile_units_to_pixels)}}};function nn(e,r,n,i,a,o,s){for(var l=e.context,u=l.gl,c=e.useProgram("collisionBox"),f=[],h=0,p=0,d=0;d0){var _=t.create(),w=m;t.mul(_,y.placementInvProjMatrix,e.transform.glCoordMatrix),t.mul(_,_,y.placementViewportMatrix),f.push({circleArray:b,circleOffset:p,transform:w,invTransform:_}),p=h+=b.length/4}x&&c.draw(l,u.LINES,Mt.disabled,Et.disabled,e.colorModeForRenderPass(),Ct.disabled,Dr(m,e.transform,g),n.id,x.layoutVertexBuffer,x.indexBuffer,x.segments,null,e.transform.zoom,null,null,x.collisionVertexBuffer)}}if(s&&f.length){var T=e.useProgram("collisionCircle"),k=new t.StructArrayLayout2f1f2i16;k.resize(4*h),k._trim();for(var A=0,M=0,S=f;M=0&&(v[y.associatedIconIndex]={shiftedAnchor:S,angle:E})}else he(y.numGlyphs,p)}if(f){d.clear();for(var C=e.icon.placedSymbolArray,P=0;P0){var s=t.browser.now(),l=(s-e.timeAdded)/o,u=r?(s-r.timeAdded)/o:-1,c=n.getSource(),f=a.coveringZoomLevel({tileSize:c.tileSize,roundZoom:c.roundZoom}),h=!r||Math.abs(r.tileID.overscaledZ-f)>Math.abs(e.tileID.overscaledZ-f),p=h&&e.refreshedUponExpiration?1:t.clamp(h?l:1-u,0,1);return e.refreshedUponExpiration&&l>=1&&(e.refreshedUponExpiration=!1),r?{opacity:1,mix:1-p}:{opacity:p,mix:0}}return{opacity:1,mix:0}}var gn=new t.Color(1,0,0,1),yn=new t.Color(0,1,0,1),mn=new t.Color(0,0,1,1),xn=new t.Color(1,0,1,1),bn=new t.Color(0,1,1,1);function _n(t){var e=t.transform.padding;wn(t,t.transform.height-(e.top||0),3,gn),wn(t,e.bottom||0,3,yn),Tn(t,e.left||0,3,mn),Tn(t,t.transform.width-(e.right||0),3,xn);var r=t.transform.centerPoint;!function(t,e,r,n){var i=20,a=2;kn(t,e-a/2,r-i/2,a,i,n),kn(t,e-i/2,r-a/2,i,a,n)}(t,r.x,t.transform.height-r.y,bn)}function wn(t,e,r,n){kn(t,0,e+r/2,t.transform.width,r,n)}function Tn(t,e,r,n){kn(t,e-r/2,0,r,t.transform.height,n)}function kn(e,r,n,i,a,o){var s=e.context,l=s.gl;l.enable(l.SCISSOR_TEST),l.scissor(r*t.browser.devicePixelRatio,n*t.browser.devicePixelRatio,i*t.browser.devicePixelRatio,a*t.browser.devicePixelRatio),s.clear({color:o}),l.disable(l.SCISSOR_TEST)}function An(e,r,n){var i=e.context,a=i.gl,o=n.posMatrix,s=e.useProgram("debug"),l=Mt.disabled,u=Et.disabled,c=e.colorModeForRenderPass(),f="$debug";i.activeTexture.set(a.TEXTURE0),e.emptyTexture.bind(a.LINEAR,a.CLAMP_TO_EDGE),s.draw(i,a.LINE_STRIP,l,u,c,Ct.disabled,Rr(o,t.Color.red),f,e.debugBuffer,e.tileBorderIndexBuffer,e.debugSegments);var h=r.getTileByID(n.key).latestRawTileData,p=h&&h.byteLength||0,d=Math.floor(p/1024),v=r.getTile(n).tileSize,g=512/Math.min(v,512)*(n.overscaledZ/e.transform.zoom)*.5,y=n.canonical.toString();n.overscaledZ!==n.canonical.z&&(y+=" => "+n.overscaledZ),function(t,e){t.initDebugOverlayCanvas();var r=t.debugOverlayCanvas,n=t.context.gl,i=t.debugOverlayCanvas.getContext("2d");i.clearRect(0,0,r.width,r.height),i.shadowColor="white",i.shadowBlur=2,i.lineWidth=1.5,i.strokeStyle="white",i.textBaseline="top",i.font="bold 36px Open Sans, sans-serif",i.fillText(e,5,5),i.strokeText(e,5,5),t.debugOverlayTexture.update(r),t.debugOverlayTexture.bind(n.LINEAR,n.CLAMP_TO_EDGE)}(e,y+" "+d+"kb"),s.draw(i,a.TRIANGLES,l,u,Lt.alphaBlended,Ct.disabled,Rr(o,t.Color.transparent,g),f,e.debugBuffer,e.quadTriangleIndexBuffer,e.debugSegments)}var Mn={symbol:function(e,r,n,i,a){if("translucent"===e.renderPass){var o=Et.disabled,s=e.colorModeForRenderPass();n.layout.get("text-variable-anchor")&&function(e,r,n,i,a,o,s){for(var l=r.transform,u="map"===a,c="map"===o,f=0,h=e;f256&&this.clearStencil(),r.setColorMode(Lt.disabled),r.setDepthMode(Mt.disabled);var i=this.useProgram("clippingMask");this._tileClippingMaskIDs={};for(var a=0,o=e;a256&&this.clearStencil();var t=this.nextStencilID++,e=this.context.gl;return new Et({func:e.NOTEQUAL,mask:255},t,255,e.KEEP,e.KEEP,e.REPLACE)},Sn.prototype.stencilModeForClipping=function(t){var e=this.context.gl;return new Et({func:e.EQUAL,mask:255},this._tileClippingMaskIDs[t.key],0,e.KEEP,e.KEEP,e.REPLACE)},Sn.prototype.stencilConfigForOverlap=function(t){var e,r=this.context.gl,n=t.sort((function(t,e){return e.overscaledZ-t.overscaledZ})),i=n[n.length-1].overscaledZ,a=n[0].overscaledZ-i+1;if(a>1){this.currentStencilSource=void 0,this.nextStencilID+a>256&&this.clearStencil();for(var o={},s=0;s=0;this.currentLayer--){var w=this.style._layers[i[this.currentLayer]],T=a[w.source],k=c[w.source];this._renderTileClippingMasks(w,k),this.renderLayer(this,T,w,k)}for(this.renderPass="translucent",this.currentLayer=0;this.currentLayer0?e.pop():null},Sn.prototype.isPatternMissing=function(t){if(!t)return!1;if(!t.from||!t.to)return!0;var e=this.imageManager.getPattern(t.from.toString()),r=this.imageManager.getPattern(t.to.toString());return!e||!r},Sn.prototype.useProgram=function(t,e){this.cache=this.cache||{};var r=""+t+(e?e.cacheKey:"")+(this._showOverdrawInspector?"/overdraw":"");return this.cache[r]||(this.cache[r]=new Ar(this.context,t,wr[t],e,rn[t],this._showOverdrawInspector)),this.cache[r]},Sn.prototype.setCustomLayerDefaults=function(){this.context.unbindVAO(),this.context.cullFace.setDefault(),this.context.activeTexture.setDefault(),this.context.pixelStoreUnpack.setDefault(),this.context.pixelStoreUnpackPremultiplyAlpha.setDefault(),this.context.pixelStoreUnpackFlipY.setDefault()},Sn.prototype.setBaseState=function(){var t=this.context.gl;this.context.cullFace.set(!1),this.context.viewport.set([0,0,this.width,this.height]),this.context.blendEquation.set(t.FUNC_ADD)},Sn.prototype.initDebugOverlayCanvas=function(){if(null==this.debugOverlayCanvas){this.debugOverlayCanvas=t.window.document.createElement("canvas"),this.debugOverlayCanvas.width=512,this.debugOverlayCanvas.height=512;var e=this.context.gl;this.debugOverlayTexture=new t.Texture(this.context,this.debugOverlayCanvas,e.RGBA)}},Sn.prototype.destroy=function(){this.emptyTexture.destroy(),this.debugOverlayTexture&&this.debugOverlayTexture.destroy()};var En=function(t,e){this.points=t,this.planes=e};En.fromInvProjectionMatrix=function(e,r,n){var i=Math.pow(2,n),a=[[-1,1,-1,1],[1,1,-1,1],[1,-1,-1,1],[-1,-1,-1,1],[-1,1,1,1],[1,1,1,1],[1,-1,1,1],[-1,-1,1,1]].map((function(r){return t.transformMat4([],r,e)})).map((function(e){return t.scale$1([],e,1/e[3]/r*i)})),o=[[0,1,2],[6,5,4],[0,3,7],[2,1,5],[3,2,6],[0,4,5]].map((function(e){var r=t.sub([],a[e[0]],a[e[1]]),n=t.sub([],a[e[2]],a[e[1]]),i=t.normalize([],t.cross([],r,n)),o=-t.dot(i,a[e[1]]);return i.concat(o)}));return new En(a,o)};var Ln=function(e,r){this.min=e,this.max=r,this.center=t.scale$2([],t.add([],this.min,this.max),.5)};Ln.prototype.quadrant=function(e){for(var r=[e%2==0,e<2],n=t.clone$2(this.min),i=t.clone$2(this.max),a=0;a=0;if(0===o)return 0;o!==r.length&&(n=!1)}if(n)return 2;for(var l=0;l<3;l++){for(var u=Number.MAX_VALUE,c=-Number.MAX_VALUE,f=0;fthis.max[l]-this.min[l])return 0}return 1};var Cn=function(t,e,r,n){if(void 0===t&&(t=0),void 0===e&&(e=0),void 0===r&&(r=0),void 0===n&&(n=0),isNaN(t)||t<0||isNaN(e)||e<0||isNaN(r)||r<0||isNaN(n)||n<0)throw new Error("Invalid value for edge-insets, top, bottom, left and right must all be numbers");this.top=t,this.bottom=e,this.left=r,this.right=n};Cn.prototype.interpolate=function(e,r,n){return null!=r.top&&null!=e.top&&(this.top=t.number(e.top,r.top,n)),null!=r.bottom&&null!=e.bottom&&(this.bottom=t.number(e.bottom,r.bottom,n)),null!=r.left&&null!=e.left&&(this.left=t.number(e.left,r.left,n)),null!=r.right&&null!=e.right&&(this.right=t.number(e.right,r.right,n)),this},Cn.prototype.getCenter=function(e,r){var n=t.clamp((this.left+e-this.right)/2,0,e),i=t.clamp((this.top+r-this.bottom)/2,0,r);return new t.Point(n,i)},Cn.prototype.equals=function(t){return this.top===t.top&&this.bottom===t.bottom&&this.left===t.left&&this.right===t.right},Cn.prototype.clone=function(){return new Cn(this.top,this.bottom,this.left,this.right)},Cn.prototype.toJSON=function(){return{top:this.top,bottom:this.bottom,left:this.left,right:this.right}};var Pn=function(e,r,n,i,a){this.tileSize=512,this.maxValidLatitude=85.051129,this._renderWorldCopies=void 0===a||a,this._minZoom=e||0,this._maxZoom=r||22,this._minPitch=null==n?0:n,this._maxPitch=null==i?60:i,this.setMaxBounds(),this.width=0,this.height=0,this._center=new t.LngLat(0,0),this.zoom=0,this.angle=0,this._fov=.6435011087932844,this._pitch=0,this._unmodified=!0,this._edgeInsets=new Cn,this._posMatrixCache={},this._alignedPosMatrixCache={}},On={minZoom:{configurable:!0},maxZoom:{configurable:!0},minPitch:{configurable:!0},maxPitch:{configurable:!0},renderWorldCopies:{configurable:!0},worldSize:{configurable:!0},centerOffset:{configurable:!0},size:{configurable:!0},bearing:{configurable:!0},pitch:{configurable:!0},fov:{configurable:!0},zoom:{configurable:!0},center:{configurable:!0},padding:{configurable:!0},centerPoint:{configurable:!0},unmodified:{configurable:!0},point:{configurable:!0}};Pn.prototype.clone=function(){var t=new Pn(this._minZoom,this._maxZoom,this._minPitch,this.maxPitch,this._renderWorldCopies);return t.tileSize=this.tileSize,t.latRange=this.latRange,t.width=this.width,t.height=this.height,t._center=this._center,t.zoom=this.zoom,t.angle=this.angle,t._fov=this._fov,t._pitch=this._pitch,t._unmodified=this._unmodified,t._edgeInsets=this._edgeInsets.clone(),t._calcMatrices(),t},On.minZoom.get=function(){return this._minZoom},On.minZoom.set=function(t){this._minZoom!==t&&(this._minZoom=t,this.zoom=Math.max(this.zoom,t))},On.maxZoom.get=function(){return this._maxZoom},On.maxZoom.set=function(t){this._maxZoom!==t&&(this._maxZoom=t,this.zoom=Math.min(this.zoom,t))},On.minPitch.get=function(){return this._minPitch},On.minPitch.set=function(t){this._minPitch!==t&&(this._minPitch=t,this.pitch=Math.max(this.pitch,t))},On.maxPitch.get=function(){return this._maxPitch},On.maxPitch.set=function(t){this._maxPitch!==t&&(this._maxPitch=t,this.pitch=Math.min(this.pitch,t))},On.renderWorldCopies.get=function(){return this._renderWorldCopies},On.renderWorldCopies.set=function(t){void 0===t?t=!0:null===t&&(t=!1),this._renderWorldCopies=t},On.worldSize.get=function(){return this.tileSize*this.scale},On.centerOffset.get=function(){return this.centerPoint._sub(this.size._div(2))},On.size.get=function(){return new t.Point(this.width,this.height)},On.bearing.get=function(){return-this.angle/Math.PI*180},On.bearing.set=function(e){var r=-t.wrap(e,-180,180)*Math.PI/180;this.angle!==r&&(this._unmodified=!1,this.angle=r,this._calcMatrices(),this.rotationMatrix=t.create$2(),t.rotate(this.rotationMatrix,this.rotationMatrix,this.angle))},On.pitch.get=function(){return this._pitch/Math.PI*180},On.pitch.set=function(e){var r=t.clamp(e,this.minPitch,this.maxPitch)/180*Math.PI;this._pitch!==r&&(this._unmodified=!1,this._pitch=r,this._calcMatrices())},On.fov.get=function(){return this._fov/Math.PI*180},On.fov.set=function(t){t=Math.max(.01,Math.min(60,t)),this._fov!==t&&(this._unmodified=!1,this._fov=t/180*Math.PI,this._calcMatrices())},On.zoom.get=function(){return this._zoom},On.zoom.set=function(t){var e=Math.min(Math.max(t,this.minZoom),this.maxZoom);this._zoom!==e&&(this._unmodified=!1,this._zoom=e,this.scale=this.zoomScale(e),this.tileZoom=Math.floor(e),this.zoomFraction=e-this.tileZoom,this._constrain(),this._calcMatrices())},On.center.get=function(){return this._center},On.center.set=function(t){t.lat===this._center.lat&&t.lng===this._center.lng||(this._unmodified=!1,this._center=t,this._constrain(),this._calcMatrices())},On.padding.get=function(){return this._edgeInsets.toJSON()},On.padding.set=function(t){this._edgeInsets.equals(t)||(this._unmodified=!1,this._edgeInsets.interpolate(this._edgeInsets,t,1),this._calcMatrices())},On.centerPoint.get=function(){return this._edgeInsets.getCenter(this.width,this.height)},Pn.prototype.isPaddingEqual=function(t){return this._edgeInsets.equals(t)},Pn.prototype.interpolatePadding=function(t,e,r){this._unmodified=!1,this._edgeInsets.interpolate(t,e,r),this._constrain(),this._calcMatrices()},Pn.prototype.coveringZoomLevel=function(t){var e=(t.roundZoom?Math.round:Math.floor)(this.zoom+this.scaleZoom(this.tileSize/t.tileSize));return Math.max(0,e)},Pn.prototype.getVisibleUnwrappedCoordinates=function(e){var r=[new t.UnwrappedTileID(0,e)];if(this._renderWorldCopies)for(var n=this.pointCoordinate(new t.Point(0,0)),i=this.pointCoordinate(new t.Point(this.width,0)),a=this.pointCoordinate(new t.Point(this.width,this.height)),o=this.pointCoordinate(new t.Point(0,this.height)),s=Math.floor(Math.min(n.x,i.x,a.x,o.x)),l=Math.floor(Math.max(n.x,i.x,a.x,o.x)),u=s-1;u<=l+1;u++)0!==u&&r.push(new t.UnwrappedTileID(u,e));return r},Pn.prototype.coveringTiles=function(e){var r=this.coveringZoomLevel(e),n=r;if(void 0!==e.minzoom&&re.maxzoom&&(r=e.maxzoom);var i=t.MercatorCoordinate.fromLngLat(this.center),a=Math.pow(2,r),o=[a*i.x,a*i.y,0],s=En.fromInvProjectionMatrix(this.invProjMatrix,this.worldSize,r),l=e.minzoom||0;this.pitch<=60&&this._edgeInsets.top<.1&&(l=r);var u=function(t){return{aabb:new Ln([t*a,0,0],[(t+1)*a,a,0]),zoom:0,x:0,y:0,wrap:t,fullyVisible:!1}},c=[],f=[],h=r,p=e.reparseOverscaled?n:r;if(this._renderWorldCopies)for(var d=1;d<=3;d++)c.push(u(-d)),c.push(u(d));for(c.push(u(0));c.length>0;){var v=c.pop(),g=v.x,y=v.y,m=v.fullyVisible;if(!m){var x=v.aabb.intersects(s);if(0===x)continue;m=2===x}var b=v.aabb.distanceX(o),_=v.aabb.distanceY(o),w=Math.max(Math.abs(b),Math.abs(_)),T=3+(1<T&&v.zoom>=l)f.push({tileID:new t.OverscaledTileID(v.zoom===h?p:v.zoom,v.wrap,v.zoom,g,y),distanceSq:t.sqrLen([o[0]-.5-g,o[1]-.5-y])});else for(var k=0;k<4;k++){var A=(g<<1)+k%2,M=(y<<1)+(k>>1);c.push({aabb:v.aabb.quadrant(k),zoom:v.zoom+1,x:A,y:M,wrap:v.wrap,fullyVisible:m})}}return f.sort((function(t,e){return t.distanceSq-e.distanceSq})).map((function(t){return t.tileID}))},Pn.prototype.resize=function(t,e){this.width=t,this.height=e,this.pixelsToGLUnits=[2/t,-2/e],this._constrain(),this._calcMatrices()},On.unmodified.get=function(){return this._unmodified},Pn.prototype.zoomScale=function(t){return Math.pow(2,t)},Pn.prototype.scaleZoom=function(t){return Math.log(t)/Math.LN2},Pn.prototype.project=function(e){var r=t.clamp(e.lat,-this.maxValidLatitude,this.maxValidLatitude);return new t.Point(t.mercatorXfromLng(e.lng)*this.worldSize,t.mercatorYfromLat(r)*this.worldSize)},Pn.prototype.unproject=function(e){return new t.MercatorCoordinate(e.x/this.worldSize,e.y/this.worldSize).toLngLat()},On.point.get=function(){return this.project(this.center)},Pn.prototype.setLocationAtPoint=function(e,r){var n=this.pointCoordinate(r),i=this.pointCoordinate(this.centerPoint),a=this.locationCoordinate(e),o=new t.MercatorCoordinate(a.x-(n.x-i.x),a.y-(n.y-i.y));this.center=this.coordinateLocation(o),this._renderWorldCopies&&(this.center=this.center.wrap())},Pn.prototype.locationPoint=function(t){return this.coordinatePoint(this.locationCoordinate(t))},Pn.prototype.pointLocation=function(t){return this.coordinateLocation(this.pointCoordinate(t))},Pn.prototype.locationCoordinate=function(e){return t.MercatorCoordinate.fromLngLat(e)},Pn.prototype.coordinateLocation=function(t){return t.toLngLat()},Pn.prototype.pointCoordinate=function(e){var r=[e.x,e.y,0,1],n=[e.x,e.y,1,1];t.transformMat4(r,r,this.pixelMatrixInverse),t.transformMat4(n,n,this.pixelMatrixInverse);var i=r[3],a=n[3],o=r[0]/i,s=n[0]/a,l=r[1]/i,u=n[1]/a,c=r[2]/i,f=n[2]/a,h=c===f?0:(0-c)/(f-c);return new t.MercatorCoordinate(t.number(o,s,h)/this.worldSize,t.number(l,u,h)/this.worldSize)},Pn.prototype.coordinatePoint=function(e){var r=[e.x*this.worldSize,e.y*this.worldSize,0,1];return t.transformMat4(r,r,this.pixelMatrix),new t.Point(r[0]/r[3],r[1]/r[3])},Pn.prototype.getBounds=function(){return(new t.LngLatBounds).extend(this.pointLocation(new t.Point(0,0))).extend(this.pointLocation(new t.Point(this.width,0))).extend(this.pointLocation(new t.Point(this.width,this.height))).extend(this.pointLocation(new t.Point(0,this.height)))},Pn.prototype.getMaxBounds=function(){return this.latRange&&2===this.latRange.length&&this.lngRange&&2===this.lngRange.length?new t.LngLatBounds([this.lngRange[0],this.latRange[0]],[this.lngRange[1],this.latRange[1]]):null},Pn.prototype.setMaxBounds=function(t){t?(this.lngRange=[t.getWest(),t.getEast()],this.latRange=[t.getSouth(),t.getNorth()],this._constrain()):(this.lngRange=null,this.latRange=[-this.maxValidLatitude,this.maxValidLatitude])},Pn.prototype.calculatePosMatrix=function(e,r){void 0===r&&(r=!1);var n=e.key,i=r?this._alignedPosMatrixCache:this._posMatrixCache;if(i[n])return i[n];var a=e.canonical,o=this.worldSize/this.zoomScale(a.z),s=a.x+Math.pow(2,a.z)*e.wrap,l=t.identity(new Float64Array(16));return t.translate(l,l,[s*o,a.y*o,0]),t.scale(l,l,[o/t.EXTENT,o/t.EXTENT,1]),t.multiply(l,r?this.alignedProjMatrix:this.projMatrix,l),i[n]=new Float32Array(l),i[n]},Pn.prototype.customLayerMatrix=function(){return this.mercatorMatrix.slice()},Pn.prototype._constrain=function(){if(this.center&&this.width&&this.height&&!this._constraining){this._constraining=!0;var e,r,n,i,a=-90,o=90,s=-180,l=180,u=this.size,c=this._unmodified;if(this.latRange){var f=this.latRange;a=t.mercatorYfromLat(f[1])*this.worldSize,e=(o=t.mercatorYfromLat(f[0])*this.worldSize)-ao&&(i=o-g)}if(this.lngRange){var y=p.x,m=u.x/2;y-ml&&(n=l-m)}void 0===n&&void 0===i||(this.center=this.unproject(new t.Point(void 0!==n?n:p.x,void 0!==i?i:p.y))),this._unmodified=c,this._constraining=!1}},Pn.prototype._calcMatrices=function(){if(this.height){var e=this._fov/2,r=this.centerOffset;this.cameraToCenterDistance=.5/Math.tan(e)*this.height;var n=Math.PI/2+this._pitch,i=this._fov*(.5+r.y/this.height),a=Math.sin(i)*this.cameraToCenterDistance/Math.sin(t.clamp(Math.PI-n-i,.01,Math.PI-.01)),o=this.point,s=o.x,l=o.y,u=1.01*(Math.cos(Math.PI/2-this._pitch)*a+this.cameraToCenterDistance),c=this.height/50,f=new Float64Array(16);t.perspective(f,this._fov,this.width/this.height,c,u),f[8]=2*-r.x/this.width,f[9]=2*r.y/this.height,t.scale(f,f,[1,-1,1]),t.translate(f,f,[0,0,-this.cameraToCenterDistance]),t.rotateX(f,f,this._pitch),t.rotateZ(f,f,this.angle),t.translate(f,f,[-s,-l,0]),this.mercatorMatrix=t.scale([],f,[this.worldSize,this.worldSize,this.worldSize]),t.scale(f,f,[1,1,t.mercatorZfromAltitude(1,this.center.lat)*this.worldSize,1]),this.projMatrix=f,this.invProjMatrix=t.invert([],this.projMatrix);var h=this.width%2/2,p=this.height%2/2,d=Math.cos(this.angle),v=Math.sin(this.angle),g=s-Math.round(s)+d*h+v*p,y=l-Math.round(l)+d*p+v*h,m=new Float64Array(f);if(t.translate(m,m,[g>.5?g-1:g,y>.5?y-1:y,0]),this.alignedProjMatrix=m,f=t.create(),t.scale(f,f,[this.width/2,-this.height/2,1]),t.translate(f,f,[1,-1,0]),this.labelPlaneMatrix=f,f=t.create(),t.scale(f,f,[1,-1,1]),t.translate(f,f,[-1,-1,0]),t.scale(f,f,[2/this.width,2/this.height,1]),this.glCoordMatrix=f,this.pixelMatrix=t.multiply(new Float64Array(16),this.labelPlaneMatrix,this.projMatrix),!(f=t.invert(new Float64Array(16),this.pixelMatrix)))throw new Error("failed to invert matrix");this.pixelMatrixInverse=f,this._posMatrixCache={},this._alignedPosMatrixCache={}}},Pn.prototype.maxPitchScaleFactor=function(){if(!this.pixelMatrixInverse)return 1;var e=this.pointCoordinate(new t.Point(0,0)),r=[e.x*this.worldSize,e.y*this.worldSize,0,1];return t.transformMat4(r,r,this.pixelMatrix)[3]/this.cameraToCenterDistance},Pn.prototype.getCameraPoint=function(){var e=this._pitch,r=Math.tan(e)*(this.cameraToCenterDistance||1);return this.centerPoint.add(new t.Point(0,r))},Pn.prototype.getCameraQueryGeometry=function(e){var r=this.getCameraPoint();if(1===e.length)return[e[0],r];for(var n=r.x,i=r.y,a=r.x,o=r.y,s=0,l=e;s=3&&!t.some((function(t){return isNaN(t)}))){var e=this._map.dragRotate.isEnabled()&&this._map.touchZoomRotate.isEnabled()?+(t[3]||0):this._map.getBearing();return this._map.jumpTo({center:[+t[2],+t[1]],zoom:+t[0],bearing:e,pitch:+(t[4]||0)}),!0}return!1},In.prototype._updateHashUnthrottled=function(){var e=t.window.location.href.replace(/(#.+)?$/,this.getHashString());try{t.window.history.replaceState(t.window.history.state,null,e)}catch(t){}};var Dn={linearity:.3,easing:t.bezier(0,0,.3,1)},zn=t.extend({deceleration:2500,maxSpeed:1400},Dn),Rn=t.extend({deceleration:20,maxSpeed:1400},Dn),Fn=t.extend({deceleration:1e3,maxSpeed:360},Dn),Bn=t.extend({deceleration:1e3,maxSpeed:90},Dn),Nn=function(t){this._map=t,this.clear()};function jn(t,e){(!t.duration||t.duration0&&r-e[0].time>160;)e.shift()},Nn.prototype._onMoveEnd=function(e){if(this._drainInertiaBuffer(),!(this._inertiaBuffer.length<2)){for(var r={zoom:0,bearing:0,pitch:0,pan:new t.Point(0,0),pinchAround:void 0,around:void 0},n=0,i=this._inertiaBuffer;n=this._clickTolerance||this._map.fire(new Vn(t.type,this._map,t))},Gn.prototype.dblclick=function(t){return this._firePreventable(new Vn(t.type,this._map,t))},Gn.prototype.mouseover=function(t){this._map.fire(new Vn(t.type,this._map,t))},Gn.prototype.mouseout=function(t){this._map.fire(new Vn(t.type,this._map,t))},Gn.prototype.touchstart=function(t){return this._firePreventable(new qn(t.type,this._map,t))},Gn.prototype.touchmove=function(t){this._map.fire(new qn(t.type,this._map,t))},Gn.prototype.touchend=function(t){this._map.fire(new qn(t.type,this._map,t))},Gn.prototype.touchcancel=function(t){this._map.fire(new qn(t.type,this._map,t))},Gn.prototype._firePreventable=function(t){if(this._map.fire(t),t.defaultPrevented)return{}},Gn.prototype.isEnabled=function(){return!0},Gn.prototype.isActive=function(){return!1},Gn.prototype.enable=function(){},Gn.prototype.disable=function(){};var Wn=function(t){this._map=t};Wn.prototype.reset=function(){this._delayContextMenu=!1,delete this._contextMenuEvent},Wn.prototype.mousemove=function(t){this._map.fire(new Vn(t.type,this._map,t))},Wn.prototype.mousedown=function(){this._delayContextMenu=!0},Wn.prototype.mouseup=function(){this._delayContextMenu=!1,this._contextMenuEvent&&(this._map.fire(new Vn("contextmenu",this._map,this._contextMenuEvent)),delete this._contextMenuEvent)},Wn.prototype.contextmenu=function(t){this._delayContextMenu?this._contextMenuEvent=t:this._map.fire(new Vn(t.type,this._map,t)),this._map.listens("contextmenu")&&t.preventDefault()},Wn.prototype.isEnabled=function(){return!0},Wn.prototype.isActive=function(){return!1},Wn.prototype.enable=function(){},Wn.prototype.disable=function(){};var Yn=function(t,e){this._map=t,this._el=t.getCanvasContainer(),this._container=t.getContainer(),this._clickTolerance=e.clickTolerance||1};function Xn(t,e){for(var r={},n=0;nthis.numTouches)&&(this.aborted=!0),this.aborted||(void 0===this.startTime&&(this.startTime=e.timeStamp),n.length===this.numTouches&&(this.centroid=function(e){for(var r=new t.Point(0,0),n=0,i=e;n30)&&(this.aborted=!0)}}},Zn.prototype.touchend=function(t,e,r){if((!this.centroid||t.timeStamp-this.startTime>500)&&(this.aborted=!0),0===r.length){var n=!this.aborted&&this.centroid;if(this.reset(),n)return n}};var Kn=function(t){this.singleTap=new Zn(t),this.numTaps=t.numTaps,this.reset()};Kn.prototype.reset=function(){this.lastTime=1/0,delete this.lastTap,this.count=0,this.singleTap.reset()},Kn.prototype.touchstart=function(t,e,r){this.singleTap.touchstart(t,e,r)},Kn.prototype.touchmove=function(t,e,r){this.singleTap.touchmove(t,e,r)},Kn.prototype.touchend=function(t,e,r){var n=this.singleTap.touchend(t,e,r);if(n){var i=t.timeStamp-this.lastTime<500,a=!this.lastTap||this.lastTap.dist(n)<30;if(i&&a||this.reset(),this.count++,this.lastTime=t.timeStamp,this.lastTap=n,this.count===this.numTaps)return this.reset(),n}};var Jn=function(){this._zoomIn=new Kn({numTouches:1,numTaps:2}),this._zoomOut=new Kn({numTouches:2,numTaps:1}),this.reset()};Jn.prototype.reset=function(){this._active=!1,this._zoomIn.reset(),this._zoomOut.reset()},Jn.prototype.touchstart=function(t,e,r){this._zoomIn.touchstart(t,e,r),this._zoomOut.touchstart(t,e,r)},Jn.prototype.touchmove=function(t,e,r){this._zoomIn.touchmove(t,e,r),this._zoomOut.touchmove(t,e,r)},Jn.prototype.touchend=function(t,e,r){var n=this,i=this._zoomIn.touchend(t,e,r),a=this._zoomOut.touchend(t,e,r);return i?(this._active=!0,t.preventDefault(),setTimeout((function(){return n.reset()}),0),{cameraAnimation:function(e){return e.easeTo({duration:300,zoom:e.getZoom()+1,around:e.unproject(i)},{originalEvent:t})}}):a?(this._active=!0,t.preventDefault(),setTimeout((function(){return n.reset()}),0),{cameraAnimation:function(e){return e.easeTo({duration:300,zoom:e.getZoom()-1,around:e.unproject(a)},{originalEvent:t})}}):void 0},Jn.prototype.touchcancel=function(){this.reset()},Jn.prototype.enable=function(){this._enabled=!0},Jn.prototype.disable=function(){this._enabled=!1,this.reset()},Jn.prototype.isEnabled=function(){return this._enabled},Jn.prototype.isActive=function(){return this._active};var $n={};$n[0]=1,$n[2]=2;var Qn=function(t){this.reset(),this._clickTolerance=t.clickTolerance||1};Qn.prototype.reset=function(){this._active=!1,this._moved=!1,delete this._lastPoint,delete this._eventButton},Qn.prototype._correctButton=function(t,e){return!1},Qn.prototype._move=function(t,e){return{}},Qn.prototype.mousedown=function(t,e){if(!this._lastPoint){var n=r.mouseButton(t);this._correctButton(t,n)&&(this._lastPoint=e,this._eventButton=n)}},Qn.prototype.mousemoveWindow=function(t,e){var r=this._lastPoint;if(r)if(t.preventDefault(),function(t,e){var r=$n[e];return void 0===t.buttons||(t.buttons&r)!==r}(t,this._eventButton))this.reset();else if(this._moved||!(e.dist(r)0&&(this._active=!0);var i=Xn(n,r),a=new t.Point(0,0),o=new t.Point(0,0),s=0;for(var l in i){var u=i[l],c=this._touches[l];c&&(a._add(u),o._add(u.sub(c)),s++,i[l]=u)}if(this._touches=i,!(sMath.abs(t.x)}var fi=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.reset=function(){t.prototype.reset.call(this),this._valid=void 0,delete this._firstMove,delete this._lastPoints},e.prototype._start=function(t){this._lastPoints=t,ci(t[0].sub(t[1]))&&(this._valid=!1)},e.prototype._move=function(t,e,r){var n=t[0].sub(this._lastPoints[0]),i=t[1].sub(this._lastPoints[1]);if(this._valid=this.gestureBeginsVertically(n,i,r.timeStamp),this._valid)return this._lastPoints=t,this._active=!0,{pitchDelta:(n.y+i.y)/2*-.5}},e.prototype.gestureBeginsVertically=function(t,e,r){if(void 0!==this._valid)return this._valid;var n=t.mag()>=2,i=e.mag()>=2;if(n||i){if(!n||!i)return void 0===this._firstMove&&(this._firstMove=r),r-this._firstMove<100&&void 0;var a=t.y>0==e.y>0;return ci(t)&&ci(e)&&a}},e}(ii),hi={panStep:100,bearingStep:15,pitchStep:10},pi=function(){var t=hi;this._panStep=t.panStep,this._bearingStep=t.bearingStep,this._pitchStep=t.pitchStep,this._rotationDisabled=!1};function di(t){return t*(2-t)}pi.prototype.reset=function(){this._active=!1},pi.prototype.keydown=function(t){var e=this;if(!(t.altKey||t.ctrlKey||t.metaKey)){var r=0,n=0,i=0,a=0,o=0;switch(t.keyCode){case 61:case 107:case 171:case 187:r=1;break;case 189:case 109:case 173:r=-1;break;case 37:t.shiftKey?n=-1:(t.preventDefault(),a=-1);break;case 39:t.shiftKey?n=1:(t.preventDefault(),a=1);break;case 38:t.shiftKey?i=1:(t.preventDefault(),o=-1);break;case 40:t.shiftKey?i=-1:(t.preventDefault(),o=1);break;default:return}return this._rotationDisabled&&(n=0,i=0),{cameraAnimation:function(s){var l=s.getZoom();s.easeTo({duration:300,easeId:"keyboardHandler",easing:di,zoom:r?Math.round(l)+r*(t.shiftKey?2:1):l,bearing:s.getBearing()+n*e._bearingStep,pitch:s.getPitch()+i*e._pitchStep,offset:[-a*e._panStep,-o*e._panStep],center:s.getCenter()},{originalEvent:t})}}}},pi.prototype.enable=function(){this._enabled=!0},pi.prototype.disable=function(){this._enabled=!1,this.reset()},pi.prototype.isEnabled=function(){return this._enabled},pi.prototype.isActive=function(){return this._active},pi.prototype.disableRotation=function(){this._rotationDisabled=!0},pi.prototype.enableRotation=function(){this._rotationDisabled=!1};var vi=4.000244140625,gi=function(e,r){this._map=e,this._el=e.getCanvasContainer(),this._handler=r,this._delta=0,this._defaultZoomRate=.01,this._wheelZoomRate=.0022222222222222222,t.bindAll(["_onTimeout"],this)};gi.prototype.setZoomRate=function(t){this._defaultZoomRate=t},gi.prototype.setWheelZoomRate=function(t){this._wheelZoomRate=t},gi.prototype.isEnabled=function(){return!!this._enabled},gi.prototype.isActive=function(){return!!this._active||void 0!==this._finishTimeout},gi.prototype.isZooming=function(){return!!this._zooming},gi.prototype.enable=function(t){this.isEnabled()||(this._enabled=!0,this._aroundCenter=t&&"center"===t.around)},gi.prototype.disable=function(){this.isEnabled()&&(this._enabled=!1)},gi.prototype.wheel=function(e){if(this.isEnabled()){var r=e.deltaMode===t.window.WheelEvent.DOM_DELTA_LINE?40*e.deltaY:e.deltaY,n=t.browser.now(),i=n-(this._lastWheelEventTime||0);this._lastWheelEventTime=n,0!==r&&r%vi==0?this._type="wheel":0!==r&&Math.abs(r)<4?this._type="trackpad":i>400?(this._type=null,this._lastValue=r,this._timeout=setTimeout(this._onTimeout,40,e)):this._type||(this._type=Math.abs(i*r)<200?"trackpad":"wheel",this._timeout&&(clearTimeout(this._timeout),this._timeout=null,r+=this._lastValue)),e.shiftKey&&r&&(r/=4),this._type&&(this._lastWheelEvent=e,this._delta-=r,this._active||this._start(e)),e.preventDefault()}},gi.prototype._onTimeout=function(t){this._type="wheel",this._delta-=this._lastValue,this._active||this._start(t)},gi.prototype._start=function(e){if(this._delta){this._frameId&&(this._frameId=null),this._active=!0,this.isZooming()||(this._zooming=!0),this._finishTimeout&&(clearTimeout(this._finishTimeout),delete this._finishTimeout);var n=r.mousePos(this._el,e);this._around=t.LngLat.convert(this._aroundCenter?this._map.getCenter():this._map.unproject(n)),this._aroundPoint=this._map.transform.locationPoint(this._around),this._frameId||(this._frameId=!0,this._handler._triggerRenderFrame())}},gi.prototype.renderFrame=function(){var e=this;if(this._frameId&&(this._frameId=null,this.isActive())){var r=this._map.transform;if(0!==this._delta){var n="wheel"===this._type&&Math.abs(this._delta)>vi?this._wheelZoomRate:this._defaultZoomRate,i=2/(1+Math.exp(-Math.abs(this._delta*n)));this._delta<0&&0!==i&&(i=1/i);var a="number"==typeof this._targetZoom?r.zoomScale(this._targetZoom):r.scale;this._targetZoom=Math.min(r.maxZoom,Math.max(r.minZoom,r.scaleZoom(a*i))),"wheel"===this._type&&(this._startZoom=r.zoom,this._easing=this._smoothOutEasing(200)),this._delta=0}var o,s="number"==typeof this._targetZoom?this._targetZoom:r.zoom,l=this._startZoom,u=this._easing,c=!1;if("wheel"===this._type&&l&&u){var f=Math.min((t.browser.now()-this._lastWheelEventTime)/200,1),h=u(f);o=t.number(l,s,h),f<1?this._frameId||(this._frameId=!0):c=!0}else o=s,c=!0;return this._active=!0,c&&(this._active=!1,this._finishTimeout=setTimeout((function(){e._zooming=!1,e._handler._triggerRenderFrame(),delete e._targetZoom,delete e._finishTimeout}),200)),{noInertia:!0,needsRenderFrame:!c,zoomDelta:o-r.zoom,around:this._aroundPoint,originalEvent:this._lastWheelEvent}}},gi.prototype._smoothOutEasing=function(e){var r=t.ease;if(this._prevEase){var n=this._prevEase,i=(t.browser.now()-n.start)/n.duration,a=n.easing(i+.01)-n.easing(i),o=.27/Math.sqrt(a*a+1e-4)*.01,s=Math.sqrt(.0729-o*o);r=t.bezier(o,s,.25,1)}return this._prevEase={start:t.browser.now(),duration:e,easing:r},r},gi.prototype.reset=function(){this._active=!1};var yi=function(t,e){this._clickZoom=t,this._tapZoom=e};yi.prototype.enable=function(){this._clickZoom.enable(),this._tapZoom.enable()},yi.prototype.disable=function(){this._clickZoom.disable(),this._tapZoom.disable()},yi.prototype.isEnabled=function(){return this._clickZoom.isEnabled()&&this._tapZoom.isEnabled()},yi.prototype.isActive=function(){return this._clickZoom.isActive()||this._tapZoom.isActive()};var mi=function(){this.reset()};mi.prototype.reset=function(){this._active=!1},mi.prototype.dblclick=function(t,e){return t.preventDefault(),{cameraAnimation:function(r){r.easeTo({duration:300,zoom:r.getZoom()+(t.shiftKey?-1:1),around:r.unproject(e)},{originalEvent:t})}}},mi.prototype.enable=function(){this._enabled=!0},mi.prototype.disable=function(){this._enabled=!1,this.reset()},mi.prototype.isEnabled=function(){return this._enabled},mi.prototype.isActive=function(){return this._active};var xi=function(){this._tap=new Kn({numTouches:1,numTaps:1}),this.reset()};xi.prototype.reset=function(){this._active=!1,delete this._swipePoint,delete this._swipeTouch,delete this._tapTime,this._tap.reset()},xi.prototype.touchstart=function(t,e,r){this._swipePoint||(this._tapTime&&t.timeStamp-this._tapTime>500&&this.reset(),this._tapTime?r.length>0&&(this._swipePoint=e[0],this._swipeTouch=r[0].identifier):this._tap.touchstart(t,e,r))},xi.prototype.touchmove=function(t,e,r){if(this._tapTime){if(this._swipePoint){if(r[0].identifier!==this._swipeTouch)return;var n=e[0],i=n.y-this._swipePoint.y;return this._swipePoint=n,t.preventDefault(),this._active=!0,{zoomDelta:i/128}}}else this._tap.touchmove(t,e,r)},xi.prototype.touchend=function(t,e,r){this._tapTime?this._swipePoint&&0===r.length&&this.reset():this._tap.touchend(t,e,r)&&(this._tapTime=t.timeStamp)},xi.prototype.touchcancel=function(){this.reset()},xi.prototype.enable=function(){this._enabled=!0},xi.prototype.disable=function(){this._enabled=!1,this.reset()},xi.prototype.isEnabled=function(){return this._enabled},xi.prototype.isActive=function(){return this._active};var bi=function(t,e,r){this._el=t,this._mousePan=e,this._touchPan=r};bi.prototype.enable=function(t){this._inertiaOptions=t||{},this._mousePan.enable(),this._touchPan.enable(),this._el.classList.add("mapboxgl-touch-drag-pan")},bi.prototype.disable=function(){this._mousePan.disable(),this._touchPan.disable(),this._el.classList.remove("mapboxgl-touch-drag-pan")},bi.prototype.isEnabled=function(){return this._mousePan.isEnabled()&&this._touchPan.isEnabled()},bi.prototype.isActive=function(){return this._mousePan.isActive()||this._touchPan.isActive()};var _i=function(t,e,r){this._pitchWithRotate=t.pitchWithRotate,this._mouseRotate=e,this._mousePitch=r};_i.prototype.enable=function(){this._mouseRotate.enable(),this._pitchWithRotate&&this._mousePitch.enable()},_i.prototype.disable=function(){this._mouseRotate.disable(),this._mousePitch.disable()},_i.prototype.isEnabled=function(){return this._mouseRotate.isEnabled()&&(!this._pitchWithRotate||this._mousePitch.isEnabled())},_i.prototype.isActive=function(){return this._mouseRotate.isActive()||this._mousePitch.isActive()};var wi=function(t,e,r,n){this._el=t,this._touchZoom=e,this._touchRotate=r,this._tapDragZoom=n,this._rotationDisabled=!1,this._enabled=!0};wi.prototype.enable=function(t){this._touchZoom.enable(t),this._rotationDisabled||this._touchRotate.enable(t),this._tapDragZoom.enable(),this._el.classList.add("mapboxgl-touch-zoom-rotate")},wi.prototype.disable=function(){this._touchZoom.disable(),this._touchRotate.disable(),this._tapDragZoom.disable(),this._el.classList.remove("mapboxgl-touch-zoom-rotate")},wi.prototype.isEnabled=function(){return this._touchZoom.isEnabled()&&(this._rotationDisabled||this._touchRotate.isEnabled())&&this._tapDragZoom.isEnabled()},wi.prototype.isActive=function(){return this._touchZoom.isActive()||this._touchRotate.isActive()||this._tapDragZoom.isActive()},wi.prototype.disableRotation=function(){this._rotationDisabled=!0,this._touchRotate.disable()},wi.prototype.enableRotation=function(){this._rotationDisabled=!1,this._touchZoom.isEnabled()&&this._touchRotate.enable()};var Ti=function(t){return t.zoom||t.drag||t.pitch||t.rotate},ki=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e}(t.Event);function Ai(t){return t.panDelta&&t.panDelta.mag()||t.zoomDelta||t.bearingDelta||t.pitchDelta}var Mi=function(e,n){this._map=e,this._el=this._map.getCanvasContainer(),this._handlers=[],this._handlersById={},this._changes=[],this._inertia=new Nn(e),this._bearingSnap=n.bearingSnap,this._previousActiveHandlers={},this._eventsInProgress={},this._addDefaultHandlers(n),t.bindAll(["handleEvent","handleWindowEvent"],this);var i=this._el;this._listeners=[[i,"touchstart",{passive:!0}],[i,"touchmove",{passive:!1}],[i,"touchend",void 0],[i,"touchcancel",void 0],[i,"mousedown",void 0],[i,"mousemove",void 0],[i,"mouseup",void 0],[t.window.document,"mousemove",{capture:!0}],[t.window.document,"mouseup",void 0],[i,"mouseover",void 0],[i,"mouseout",void 0],[i,"dblclick",void 0],[i,"click",void 0],[i,"keydown",{capture:!1}],[i,"keyup",void 0],[i,"wheel",{passive:!1}],[i,"contextmenu",void 0],[t.window,"blur",void 0]];for(var a=0,o=this._listeners;aa?Math.min(2,_):Math.max(.5,_),w=Math.pow(g,1-e),T=i.unproject(x.add(b.mult(e*w)).mult(v));i.setLocationAtPoint(i.renderWorldCopies?T.wrap():T,d)}n._fireMoveEvents(r)}),(function(t){n._afterEase(r,t)}),e),this},r.prototype._prepareEase=function(e,r,n){void 0===n&&(n={}),this._moving=!0,r||n.moving||this.fire(new t.Event("movestart",e)),this._zooming&&!n.zooming&&this.fire(new t.Event("zoomstart",e)),this._rotating&&!n.rotating&&this.fire(new t.Event("rotatestart",e)),this._pitching&&!n.pitching&&this.fire(new t.Event("pitchstart",e))},r.prototype._fireMoveEvents=function(e){this.fire(new t.Event("move",e)),this._zooming&&this.fire(new t.Event("zoom",e)),this._rotating&&this.fire(new t.Event("rotate",e)),this._pitching&&this.fire(new t.Event("pitch",e))},r.prototype._afterEase=function(e,r){if(!this._easeId||!r||this._easeId!==r){delete this._easeId;var n=this._zooming,i=this._rotating,a=this._pitching;this._moving=!1,this._zooming=!1,this._rotating=!1,this._pitching=!1,this._padding=!1,n&&this.fire(new t.Event("zoomend",e)),i&&this.fire(new t.Event("rotateend",e)),a&&this.fire(new t.Event("pitchend",e)),this.fire(new t.Event("moveend",e))}},r.prototype.flyTo=function(e,r){var n=this;if(!e.essential&&t.browser.prefersReducedMotion){var i=t.pick(e,["center","zoom","bearing","pitch","around"]);return this.jumpTo(i,r)}this.stop(),e=t.extend({offset:[0,0],speed:1.2,curve:1.42,easing:t.ease},e);var a=this.transform,o=this.getZoom(),s=this.getBearing(),l=this.getPitch(),u=this.getPadding(),c="zoom"in e?t.clamp(+e.zoom,a.minZoom,a.maxZoom):o,f="bearing"in e?this._normalizeBearing(e.bearing,s):s,h="pitch"in e?+e.pitch:l,p="padding"in e?e.padding:a.padding,d=a.zoomScale(c-o),v=t.Point.convert(e.offset),g=a.centerPoint.add(v),y=a.pointLocation(g),m=t.LngLat.convert(e.center||y);this._normalizeCenter(m);var x=a.project(y),b=a.project(m).sub(x),_=e.curve,w=Math.max(a.width,a.height),T=w/d,k=b.mag();if("minZoom"in e){var A=t.clamp(Math.min(e.minZoom,o,c),a.minZoom,a.maxZoom),M=w/a.zoomScale(A-o);_=Math.sqrt(M/k*2)}var S=_*_;function E(t){var e=(T*T-w*w+(t?-1:1)*S*S*k*k)/(2*(t?T:w)*S*k);return Math.log(Math.sqrt(e*e+1)-e)}function L(t){return(Math.exp(t)-Math.exp(-t))/2}function C(t){return(Math.exp(t)+Math.exp(-t))/2}var P=E(0),O=function(t){return C(P)/C(P+_*t)},I=function(t){return w*((C(P)*(L(e=P+_*t)/C(e))-L(P))/S)/k;var e},D=(E(1)-P)/_;if(Math.abs(k)<1e-6||!isFinite(D)){if(Math.abs(w-T)<1e-6)return this.easeTo(e,r);var z=Te.maxDuration&&(e.duration=0),this._zooming=!0,this._rotating=s!==f,this._pitching=h!==l,this._padding=!a.isPaddingEqual(p),this._prepareEase(r,!1),this._ease((function(e){var i=e*D,d=1/O(i);a.zoom=1===e?c:o+a.scaleZoom(d),n._rotating&&(a.bearing=t.number(s,f,e)),n._pitching&&(a.pitch=t.number(l,h,e)),n._padding&&(a.interpolatePadding(u,p,e),g=a.centerPoint.add(v));var y=1===e?m:a.unproject(x.add(b.mult(I(i))).mult(d));a.setLocationAtPoint(a.renderWorldCopies?y.wrap():y,g),n._fireMoveEvents(r)}),(function(){return n._afterEase(r)}),e),this},r.prototype.isEasing=function(){return!!this._easeFrameId},r.prototype.stop=function(){return this._stop()},r.prototype._stop=function(t,e){if(this._easeFrameId&&(this._cancelRenderFrame(this._easeFrameId),delete this._easeFrameId,delete this._onEaseFrame),this._onEaseEnd){var r=this._onEaseEnd;delete this._onEaseEnd,r.call(this,e)}if(!t){var n=this.handlers;n&&n.stop(!1)}return this},r.prototype._ease=function(e,r,n){!1===n.animate||0===n.duration?(e(1),r()):(this._easeStart=t.browser.now(),this._easeOptions=n,this._onEaseFrame=e,this._onEaseEnd=r,this._easeFrameId=this._requestRenderFrame(this._renderFrameCallback))},r.prototype._renderFrameCallback=function(){var e=Math.min((t.browser.now()-this._easeStart)/this._easeOptions.duration,1);this._onEaseFrame(this._easeOptions.easing(e)),e<1?this._easeFrameId=this._requestRenderFrame(this._renderFrameCallback):this.stop()},r.prototype._normalizeBearing=function(e,r){e=t.wrap(e,-180,180);var n=Math.abs(e-r);return Math.abs(e-360-r)180?-360:r<-180?360:0}},r}(t.Evented),Ei=function(e){void 0===e&&(e={}),this.options=e,t.bindAll(["_toggleAttribution","_updateEditLink","_updateData","_updateCompact"],this)};Ei.prototype.getDefaultPosition=function(){return"bottom-right"},Ei.prototype.onAdd=function(t){var e=this.options&&this.options.compact;return this._map=t,this._container=r.create("div","mapboxgl-ctrl mapboxgl-ctrl-attrib"),this._compactButton=r.create("button","mapboxgl-ctrl-attrib-button",this._container),this._compactButton.addEventListener("click",this._toggleAttribution),this._setElementTitle(this._compactButton,"ToggleAttribution"),this._innerContainer=r.create("div","mapboxgl-ctrl-attrib-inner",this._container),this._innerContainer.setAttribute("role","list"),e&&this._container.classList.add("mapboxgl-compact"),this._updateAttributions(),this._updateEditLink(),this._map.on("styledata",this._updateData),this._map.on("sourcedata",this._updateData),this._map.on("moveend",this._updateEditLink),void 0===e&&(this._map.on("resize",this._updateCompact),this._updateCompact()),this._container},Ei.prototype.onRemove=function(){r.remove(this._container),this._map.off("styledata",this._updateData),this._map.off("sourcedata",this._updateData),this._map.off("moveend",this._updateEditLink),this._map.off("resize",this._updateCompact),this._map=void 0,this._attribHTML=void 0},Ei.prototype._setElementTitle=function(t,e){var r=this._map._getUIString("AttributionControl."+e);t.title=r,t.setAttribute("aria-label",r)},Ei.prototype._toggleAttribution=function(){this._container.classList.contains("mapboxgl-compact-show")?(this._container.classList.remove("mapboxgl-compact-show"),this._compactButton.setAttribute("aria-pressed","false")):(this._container.classList.add("mapboxgl-compact-show"),this._compactButton.setAttribute("aria-pressed","true"))},Ei.prototype._updateEditLink=function(){var e=this._editLink;e||(e=this._editLink=this._container.querySelector(".mapbox-improve-map"));var r=[{key:"owner",value:this.styleOwner},{key:"id",value:this.styleId},{key:"access_token",value:this._map._requestManager._customAccessToken||t.config.ACCESS_TOKEN}];if(e){var n=r.reduce((function(t,e,n){return e.value&&(t+=e.key+"="+e.value+(n=0)return!1;return!0}))).join(" | ");o!==this._attribHTML&&(this._attribHTML=o,t.length?(this._innerContainer.innerHTML=o,this._container.classList.remove("mapboxgl-attrib-empty")):this._container.classList.add("mapboxgl-attrib-empty"),this._editLink=null)}},Ei.prototype._updateCompact=function(){this._map.getCanvasContainer().offsetWidth<=640?this._container.classList.add("mapboxgl-compact"):this._container.classList.remove("mapboxgl-compact","mapboxgl-compact-show")};var Li=function(){t.bindAll(["_updateLogo"],this),t.bindAll(["_updateCompact"],this)};Li.prototype.onAdd=function(t){this._map=t,this._container=r.create("div","mapboxgl-ctrl");var e=r.create("a","mapboxgl-ctrl-logo");return e.target="_blank",e.rel="noopener nofollow",e.href="https://www.mapbox.com/",e.setAttribute("aria-label",this._map._getUIString("LogoControl.Title")),e.setAttribute("rel","noopener nofollow"),this._container.appendChild(e),this._container.style.display="none",this._map.on("sourcedata",this._updateLogo),this._updateLogo(),this._map.on("resize",this._updateCompact),this._updateCompact(),this._container},Li.prototype.onRemove=function(){r.remove(this._container),this._map.off("sourcedata",this._updateLogo),this._map.off("resize",this._updateCompact)},Li.prototype.getDefaultPosition=function(){return"bottom-left"},Li.prototype._updateLogo=function(t){t&&"metadata"!==t.sourceDataType||(this._container.style.display=this._logoRequired()?"block":"none")},Li.prototype._logoRequired=function(){if(this._map.style){var t=this._map.style.sourceCaches;for(var e in t)if(t[e].getSource().mapbox_logo)return!0;return!1}},Li.prototype._updateCompact=function(){var t=this._container.children;if(t.length){var e=t[0];this._map.getCanvasContainer().offsetWidth<250?e.classList.add("mapboxgl-compact"):e.classList.remove("mapboxgl-compact")}};var Ci=function(){this._queue=[],this._id=0,this._cleared=!1,this._currentlyRunning=!1};Ci.prototype.add=function(t){var e=++this._id;return this._queue.push({callback:t,id:e,cancelled:!1}),e},Ci.prototype.remove=function(t){for(var e=this._currentlyRunning,r=0,n=e?this._queue.concat(e):this._queue;re.maxZoom)throw new Error("maxZoom must be greater than or equal to minZoom");if(null!=e.minPitch&&null!=e.maxPitch&&e.minPitch>e.maxPitch)throw new Error("maxPitch must be greater than or equal to minPitch");if(null!=e.minPitch&&e.minPitch<0)throw new Error("minPitch must be greater than or equal to 0");if(null!=e.maxPitch&&e.maxPitch>zi)throw new Error("maxPitch must be less than or equal to 60");var i=new Pn(e.minZoom,e.maxZoom,e.minPitch,e.maxPitch,e.renderWorldCopies);if(n.call(this,i,e),this._interactive=e.interactive,this._maxTileCacheSize=e.maxTileCacheSize,this._failIfMajorPerformanceCaveat=e.failIfMajorPerformanceCaveat,this._preserveDrawingBuffer=e.preserveDrawingBuffer,this._antialias=e.antialias,this._trackResize=e.trackResize,this._bearingSnap=e.bearingSnap,this._refreshExpiredTiles=e.refreshExpiredTiles,this._fadeDuration=e.fadeDuration,this._crossSourceCollisions=e.crossSourceCollisions,this._crossFadingFactor=1,this._collectResourceTiming=e.collectResourceTiming,this._renderTaskQueue=new Ci,this._controls=[],this._mapId=t.uniqueId(),this._locale=t.extend({},Pi,e.locale),this._clickTolerance=e.clickTolerance,this._requestManager=new t.RequestManager(e.transformRequest,e.accessToken),"string"==typeof e.container){if(this._container=t.window.document.getElementById(e.container),!this._container)throw new Error("Container '"+e.container+"' not found.")}else{if(!(e.container instanceof Ii))throw new Error("Invalid type: 'container' must be a String or HTMLElement.");this._container=e.container}if(e.maxBounds&&this.setMaxBounds(e.maxBounds),t.bindAll(["_onWindowOnline","_onWindowResize","_onMapScroll","_contextLost","_contextRestored"],this),this._setupContainer(),this._setupPainter(),void 0===this.painter)throw new Error("Failed to initialize WebGL.");this.on("move",(function(){return r._update(!1)})),this.on("moveend",(function(){return r._update(!1)})),this.on("zoom",(function(){return r._update(!0)})),void 0!==t.window&&(t.window.addEventListener("online",this._onWindowOnline,!1),t.window.addEventListener("resize",this._onWindowResize,!1),t.window.addEventListener("orientationchange",this._onWindowResize,!1)),this.handlers=new Mi(this,e);var a="string"==typeof e.hash&&e.hash||void 0;this._hash=e.hash&&new In(a).addTo(this),this._hash&&this._hash._onHashChange()||(this.jumpTo({center:e.center,zoom:e.zoom,bearing:e.bearing,pitch:e.pitch}),e.bounds&&(this.resize(),this.fitBounds(e.bounds,t.extend({},e.fitBoundsOptions,{duration:0})))),this.resize(),this._localIdeographFontFamily=e.localIdeographFontFamily,e.style&&this.setStyle(e.style,{localIdeographFontFamily:e.localIdeographFontFamily}),e.attributionControl&&this.addControl(new Ei({customAttribution:e.customAttribution})),this.addControl(new Li,e.logoPosition),this.on("style.load",(function(){r.transform.unmodified&&r.jumpTo(r.style.stylesheet)})),this.on("data",(function(e){r._update("style"===e.dataType),r.fire(new t.Event(e.dataType+"data",e))})),this.on("dataloading",(function(e){r.fire(new t.Event(e.dataType+"dataloading",e))}))}n&&(i.__proto__=n),i.prototype=Object.create(n&&n.prototype),i.prototype.constructor=i;var a={showTileBoundaries:{configurable:!0},showPadding:{configurable:!0},showCollisionBoxes:{configurable:!0},showOverdrawInspector:{configurable:!0},repaint:{configurable:!0},vertices:{configurable:!0},version:{configurable:!0}};return i.prototype._getMapId=function(){return this._mapId},i.prototype.addControl=function(e,r){if(void 0===r&&(r=e.getDefaultPosition?e.getDefaultPosition():"top-right"),!e||!e.onAdd)return this.fire(new t.ErrorEvent(new Error("Invalid argument to map.addControl(). Argument must be a control with onAdd and onRemove methods.")));var n=e.onAdd(this);this._controls.push(e);var i=this._controlPositions[r];return-1!==r.indexOf("bottom")?i.insertBefore(n,i.firstChild):i.appendChild(n),this},i.prototype.removeControl=function(e){if(!e||!e.onRemove)return this.fire(new t.ErrorEvent(new Error("Invalid argument to map.removeControl(). Argument must be a control with onAdd and onRemove methods.")));var r=this._controls.indexOf(e);return r>-1&&this._controls.splice(r,1),e.onRemove(this),this},i.prototype.hasControl=function(t){return this._controls.indexOf(t)>-1},i.prototype.resize=function(e){var r=this._containerDimensions(),n=r[0],i=r[1];this._resizeCanvas(n,i),this.transform.resize(n,i),this.painter.resize(n,i);var a=!this._moving;return a&&(this.stop(),this.fire(new t.Event("movestart",e)).fire(new t.Event("move",e))),this.fire(new t.Event("resize",e)),a&&this.fire(new t.Event("moveend",e)),this},i.prototype.getBounds=function(){return this.transform.getBounds()},i.prototype.getMaxBounds=function(){return this.transform.getMaxBounds()},i.prototype.setMaxBounds=function(e){return this.transform.setMaxBounds(t.LngLatBounds.convert(e)),this._update()},i.prototype.setMinZoom=function(t){if((t=null==t?-2:t)>=-2&&t<=this.transform.maxZoom)return this.transform.minZoom=t,this._update(),this.getZoom()=this.transform.minZoom)return this.transform.maxZoom=t,this._update(),this.getZoom()>t&&this.setZoom(t),this;throw new Error("maxZoom must be greater than the current minZoom")},i.prototype.getMaxZoom=function(){return this.transform.maxZoom},i.prototype.setMinPitch=function(t){if((t=null==t?0:t)<0)throw new Error("minPitch must be greater than or equal to 0");if(t>=0&&t<=this.transform.maxPitch)return this.transform.minPitch=t,this._update(),this.getPitch()zi)throw new Error("maxPitch must be less than or equal to 60");if(t>=this.transform.minPitch)return this.transform.maxPitch=t,this._update(),this.getPitch()>t&&this.setPitch(t),this;throw new Error("maxPitch must be greater than the current minPitch")},i.prototype.getMaxPitch=function(){return this.transform.maxPitch},i.prototype.getRenderWorldCopies=function(){return this.transform.renderWorldCopies},i.prototype.setRenderWorldCopies=function(t){return this.transform.renderWorldCopies=t,this._update()},i.prototype.project=function(e){return this.transform.locationPoint(t.LngLat.convert(e))},i.prototype.unproject=function(e){return this.transform.pointLocation(t.Point.convert(e))},i.prototype.isMoving=function(){return this._moving||this.handlers.isMoving()},i.prototype.isZooming=function(){return this._zooming||this.handlers.isZooming()},i.prototype.isRotating=function(){return this._rotating||this.handlers.isRotating()},i.prototype._createDelegatedListener=function(t,e,r){var n,i=this;if("mouseenter"===t||"mouseover"===t){var a=!1;return{layer:e,listener:r,delegates:{mousemove:function(n){var o=i.getLayer(e)?i.queryRenderedFeatures(n.point,{layers:[e]}):[];o.length?a||(a=!0,r.call(i,new Vn(t,i,n.originalEvent,{features:o}))):a=!1},mouseout:function(){a=!1}}}}if("mouseleave"===t||"mouseout"===t){var o=!1;return{layer:e,listener:r,delegates:{mousemove:function(n){(i.getLayer(e)?i.queryRenderedFeatures(n.point,{layers:[e]}):[]).length?o=!0:o&&(o=!1,r.call(i,new Vn(t,i,n.originalEvent)))},mouseout:function(e){o&&(o=!1,r.call(i,new Vn(t,i,e.originalEvent)))}}}}return{layer:e,listener:r,delegates:(n={},n[t]=function(t){var n=i.getLayer(e)?i.queryRenderedFeatures(t.point,{layers:[e]}):[];n.length&&(t.features=n,r.call(i,t),delete t.features)},n)}},i.prototype.on=function(t,e,r){if(void 0===r)return n.prototype.on.call(this,t,e);var i=this._createDelegatedListener(t,e,r);for(var a in this._delegatedListeners=this._delegatedListeners||{},this._delegatedListeners[t]=this._delegatedListeners[t]||[],this._delegatedListeners[t].push(i),i.delegates)this.on(a,i.delegates[a]);return this},i.prototype.once=function(t,e,r){if(void 0===r)return n.prototype.once.call(this,t,e);var i=this._createDelegatedListener(t,e,r);for(var a in i.delegates)this.once(a,i.delegates[a]);return this},i.prototype.off=function(t,e,r){var i=this;if(void 0===r)return n.prototype.off.call(this,t,e);return this._delegatedListeners&&this._delegatedListeners[t]&&function(n){for(var a=n[t],o=0;o180;){var s=n.locationPoint(e);if(s.x>=0&&s.y>=0&&s.x<=n.width&&s.y<=n.height)break;e.lng>n.center.lng?e.lng-=360:e.lng+=360}return e}Ui.prototype.down=function(t,e){this.mouseRotate.mousedown(t,e),this.mousePitch&&this.mousePitch.mousedown(t,e),r.disableDrag()},Ui.prototype.move=function(t,e){var r=this.map,n=this.mouseRotate.mousemoveWindow(t,e);if(n&&n.bearingDelta&&r.setBearing(r.getBearing()+n.bearingDelta),this.mousePitch){var i=this.mousePitch.mousemoveWindow(t,e);i&&i.pitchDelta&&r.setPitch(r.getPitch()+i.pitchDelta)}},Ui.prototype.off=function(){var t=this.element;r.removeEventListener(t,"mousedown",this.mousedown),r.removeEventListener(t,"touchstart",this.touchstart,{passive:!1}),r.removeEventListener(t,"touchmove",this.touchmove),r.removeEventListener(t,"touchend",this.touchend),r.removeEventListener(t,"touchcancel",this.reset),this.offTemp()},Ui.prototype.offTemp=function(){r.enableDrag(),r.removeEventListener(t.window,"mousemove",this.mousemove),r.removeEventListener(t.window,"mouseup",this.mouseup)},Ui.prototype.mousedown=function(e){this.down(t.extend({},e,{ctrlKey:!0,preventDefault:function(){return e.preventDefault()}}),r.mousePos(this.element,e)),r.addEventListener(t.window,"mousemove",this.mousemove),r.addEventListener(t.window,"mouseup",this.mouseup)},Ui.prototype.mousemove=function(t){this.move(t,r.mousePos(this.element,t))},Ui.prototype.mouseup=function(t){this.mouseRotate.mouseupWindow(t),this.mousePitch&&this.mousePitch.mouseupWindow(t),this.offTemp()},Ui.prototype.touchstart=function(t){1!==t.targetTouches.length?this.reset():(this._startPos=this._lastPos=r.touchPos(this.element,t.targetTouches)[0],this.down({type:"mousedown",button:0,ctrlKey:!0,preventDefault:function(){return t.preventDefault()}},this._startPos))},Ui.prototype.touchmove=function(t){1!==t.targetTouches.length?this.reset():(this._lastPos=r.touchPos(this.element,t.targetTouches)[0],this.move({preventDefault:function(){return t.preventDefault()}},this._lastPos))},Ui.prototype.touchend=function(t){0===t.targetTouches.length&&this._startPos&&this._lastPos&&this._startPos.dist(this._lastPos)=r}this._isDragging&&(this._pos=e.point.sub(this._positionDelta),this._lngLat=this._map.unproject(this._pos),this.setLngLat(this._lngLat),this._element.style.pointerEvents="none","pending"===this._state&&(this._state="active",this.fire(new t.Event("dragstart"))),this.fire(new t.Event("drag")))},n.prototype._onUp=function(){this._element.style.pointerEvents="auto",this._positionDelta=null,this._pointerdownPos=null,this._isDragging=!1,this._map.off("mousemove",this._onMove),this._map.off("touchmove",this._onMove),"active"===this._state&&this.fire(new t.Event("dragend")),this._state="inactive"},n.prototype._addDragHandler=function(t){this._element.contains(t.originalEvent.target)&&(t.preventDefault(),this._positionDelta=t.point.sub(this._pos).add(this._offset),this._pointerdownPos=t.point,this._state="pending",this._map.on("mousemove",this._onMove),this._map.on("touchmove",this._onMove),this._map.once("mouseup",this._onUp),this._map.once("touchend",this._onUp))},n.prototype.setDraggable=function(t){return this._draggable=!!t,this._map&&(t?(this._map.on("mousedown",this._addDragHandler),this._map.on("touchstart",this._addDragHandler)):(this._map.off("mousedown",this._addDragHandler),this._map.off("touchstart",this._addDragHandler))),this},n.prototype.isDraggable=function(){return this._draggable},n.prototype.setRotation=function(t){return this._rotation=t||0,this._update(),this},n.prototype.getRotation=function(){return this._rotation},n.prototype.setRotationAlignment=function(t){return this._rotationAlignment=t||"auto",this._update(),this},n.prototype.getRotationAlignment=function(){return this._rotationAlignment},n.prototype.setPitchAlignment=function(t){return this._pitchAlignment=t&&"auto"!==t?t:this._rotationAlignment,this._update(),this},n.prototype.getPitchAlignment=function(){return this._pitchAlignment},n}(t.Evented),Yi={positionOptions:{enableHighAccuracy:!1,maximumAge:0,timeout:6e3},fitBoundsOptions:{maxZoom:15},trackUserLocation:!1,showAccuracyCircle:!0,showUserLocation:!0};var Xi=0,Zi=!1,Ki=function(e){function n(r){e.call(this),this.options=t.extend({},Yi,r),t.bindAll(["_onSuccess","_onError","_onZoom","_finish","_setupUI","_updateCamera","_updateMarker"],this)}return e&&(n.__proto__=e),n.prototype=Object.create(e&&e.prototype),n.prototype.constructor=n,n.prototype.onAdd=function(e){return this._map=e,this._container=r.create("div","mapboxgl-ctrl mapboxgl-ctrl-group"),n=this._setupUI,void 0!==Gi?n(Gi):void 0!==t.window.navigator.permissions?t.window.navigator.permissions.query({name:"geolocation"}).then((function(t){Gi="denied"!==t.state,n(Gi)})):(Gi=!!t.window.navigator.geolocation,n(Gi)),this._container;var n},n.prototype.onRemove=function(){void 0!==this._geolocationWatchID&&(t.window.navigator.geolocation.clearWatch(this._geolocationWatchID),this._geolocationWatchID=void 0),this.options.showUserLocation&&this._userLocationDotMarker&&this._userLocationDotMarker.remove(),this.options.showAccuracyCircle&&this._accuracyCircleMarker&&this._accuracyCircleMarker.remove(),r.remove(this._container),this._map.off("zoom",this._onZoom),this._map=void 0,Xi=0,Zi=!1},n.prototype._isOutOfMapMaxBounds=function(t){var e=this._map.getMaxBounds(),r=t.coords;return e&&(r.longitudee.getEast()||r.latitudee.getNorth())},n.prototype._setErrorState=function(){switch(this._watchState){case"WAITING_ACTIVE":this._watchState="ACTIVE_ERROR",this._geolocateButton.classList.remove("mapboxgl-ctrl-geolocate-active"),this._geolocateButton.classList.add("mapboxgl-ctrl-geolocate-active-error");break;case"ACTIVE_LOCK":this._watchState="ACTIVE_ERROR",this._geolocateButton.classList.remove("mapboxgl-ctrl-geolocate-active"),this._geolocateButton.classList.add("mapboxgl-ctrl-geolocate-active-error"),this._geolocateButton.classList.add("mapboxgl-ctrl-geolocate-waiting");break;case"BACKGROUND":this._watchState="BACKGROUND_ERROR",this._geolocateButton.classList.remove("mapboxgl-ctrl-geolocate-background"),this._geolocateButton.classList.add("mapboxgl-ctrl-geolocate-background-error"),this._geolocateButton.classList.add("mapboxgl-ctrl-geolocate-waiting")}},n.prototype._onSuccess=function(e){if(this._map){if(this._isOutOfMapMaxBounds(e))return this._setErrorState(),this.fire(new t.Event("outofmaxbounds",e)),this._updateMarker(),void this._finish();if(this.options.trackUserLocation)switch(this._lastKnownPosition=e,this._watchState){case"WAITING_ACTIVE":case"ACTIVE_LOCK":case"ACTIVE_ERROR":this._watchState="ACTIVE_LOCK",this._geolocateButton.classList.remove("mapboxgl-ctrl-geolocate-waiting"),this._geolocateButton.classList.remove("mapboxgl-ctrl-geolocate-active-error"),this._geolocateButton.classList.add("mapboxgl-ctrl-geolocate-active");break;case"BACKGROUND":case"BACKGROUND_ERROR":this._watchState="BACKGROUND",this._geolocateButton.classList.remove("mapboxgl-ctrl-geolocate-waiting"),this._geolocateButton.classList.remove("mapboxgl-ctrl-geolocate-background-error"),this._geolocateButton.classList.add("mapboxgl-ctrl-geolocate-background")}this.options.showUserLocation&&"OFF"!==this._watchState&&this._updateMarker(e),this.options.trackUserLocation&&"ACTIVE_LOCK"!==this._watchState||this._updateCamera(e),this.options.showUserLocation&&this._dotElement.classList.remove("mapboxgl-user-location-dot-stale"),this.fire(new t.Event("geolocate",e)),this._finish()}},n.prototype._updateCamera=function(e){var r=new t.LngLat(e.coords.longitude,e.coords.latitude),n=e.coords.accuracy,i=this._map.getBearing(),a=t.extend({bearing:i},this.options.fitBoundsOptions);this._map.fitBounds(r.toBounds(n),a,{geolocateSource:!0})},n.prototype._updateMarker=function(e){if(e){var r=new t.LngLat(e.coords.longitude,e.coords.latitude);this._accuracyCircleMarker.setLngLat(r).addTo(this._map),this._userLocationDotMarker.setLngLat(r).addTo(this._map),this._accuracy=e.coords.accuracy,this.options.showUserLocation&&this.options.showAccuracyCircle&&this._updateCircleRadius()}else this._userLocationDotMarker.remove(),this._accuracyCircleMarker.remove()},n.prototype._updateCircleRadius=function(){var t=this._map._container.clientHeight/2,e=this._map.unproject([0,t]),r=this._map.unproject([1,t]),n=e.distanceTo(r),i=Math.ceil(2*this._accuracy/n);this._circleElement.style.width=i+"px",this._circleElement.style.height=i+"px"},n.prototype._onZoom=function(){this.options.showUserLocation&&this.options.showAccuracyCircle&&this._updateCircleRadius()},n.prototype._onError=function(e){if(this._map){if(this.options.trackUserLocation)if(1===e.code){this._watchState="OFF",this._geolocateButton.classList.remove("mapboxgl-ctrl-geolocate-waiting"),this._geolocateButton.classList.remove("mapboxgl-ctrl-geolocate-active"),this._geolocateButton.classList.remove("mapboxgl-ctrl-geolocate-active-error"),this._geolocateButton.classList.remove("mapboxgl-ctrl-geolocate-background"),this._geolocateButton.classList.remove("mapboxgl-ctrl-geolocate-background-error"),this._geolocateButton.disabled=!0;var r=this._map._getUIString("GeolocateControl.LocationNotAvailable");this._geolocateButton.title=r,this._geolocateButton.setAttribute("aria-label",r),void 0!==this._geolocationWatchID&&this._clearWatch()}else{if(3===e.code&&Zi)return;this._setErrorState()}"OFF"!==this._watchState&&this.options.showUserLocation&&this._dotElement.classList.add("mapboxgl-user-location-dot-stale"),this.fire(new t.Event("error",e)),this._finish()}},n.prototype._finish=function(){this._timeoutId&&clearTimeout(this._timeoutId),this._timeoutId=void 0},n.prototype._setupUI=function(e){var n=this;if(this._container.addEventListener("contextmenu",(function(t){return t.preventDefault()})),this._geolocateButton=r.create("button","mapboxgl-ctrl-geolocate",this._container),r.create("span","mapboxgl-ctrl-icon",this._geolocateButton).setAttribute("aria-hidden",!0),this._geolocateButton.type="button",!1===e){t.warnOnce("Geolocation support is not available so the GeolocateControl will be disabled.");var i=this._map._getUIString("GeolocateControl.LocationNotAvailable");this._geolocateButton.disabled=!0,this._geolocateButton.title=i,this._geolocateButton.setAttribute("aria-label",i)}else{var a=this._map._getUIString("GeolocateControl.FindMyLocation");this._geolocateButton.title=a,this._geolocateButton.setAttribute("aria-label",a)}this.options.trackUserLocation&&(this._geolocateButton.setAttribute("aria-pressed","false"),this._watchState="OFF"),this.options.showUserLocation&&(this._dotElement=r.create("div","mapboxgl-user-location-dot"),this._userLocationDotMarker=new Wi(this._dotElement),this._circleElement=r.create("div","mapboxgl-user-location-accuracy-circle"),this._accuracyCircleMarker=new Wi({element:this._circleElement,pitchAlignment:"map"}),this.options.trackUserLocation&&(this._watchState="OFF"),this._map.on("zoom",this._onZoom)),this._geolocateButton.addEventListener("click",this.trigger.bind(this)),this._setup=!0,this.options.trackUserLocation&&this._map.on("movestart",(function(e){var r=e.originalEvent&&"resize"===e.originalEvent.type;e.geolocateSource||"ACTIVE_LOCK"!==n._watchState||r||(n._watchState="BACKGROUND",n._geolocateButton.classList.add("mapboxgl-ctrl-geolocate-background"),n._geolocateButton.classList.remove("mapboxgl-ctrl-geolocate-active"),n.fire(new t.Event("trackuserlocationend")))}))},n.prototype.trigger=function(){if(!this._setup)return t.warnOnce("Geolocate control triggered before added to a map"),!1;if(this.options.trackUserLocation){switch(this._watchState){case"OFF":this._watchState="WAITING_ACTIVE",this.fire(new t.Event("trackuserlocationstart"));break;case"WAITING_ACTIVE":case"ACTIVE_LOCK":case"ACTIVE_ERROR":case"BACKGROUND_ERROR":Xi--,Zi=!1,this._watchState="OFF",this._geolocateButton.classList.remove("mapboxgl-ctrl-geolocate-waiting"),this._geolocateButton.classList.remove("mapboxgl-ctrl-geolocate-active"),this._geolocateButton.classList.remove("mapboxgl-ctrl-geolocate-active-error"),this._geolocateButton.classList.remove("mapboxgl-ctrl-geolocate-background"),this._geolocateButton.classList.remove("mapboxgl-ctrl-geolocate-background-error"),this.fire(new t.Event("trackuserlocationend"));break;case"BACKGROUND":this._watchState="ACTIVE_LOCK",this._geolocateButton.classList.remove("mapboxgl-ctrl-geolocate-background"),this._lastKnownPosition&&this._updateCamera(this._lastKnownPosition),this.fire(new t.Event("trackuserlocationstart"))}switch(this._watchState){case"WAITING_ACTIVE":this._geolocateButton.classList.add("mapboxgl-ctrl-geolocate-waiting"),this._geolocateButton.classList.add("mapboxgl-ctrl-geolocate-active");break;case"ACTIVE_LOCK":this._geolocateButton.classList.add("mapboxgl-ctrl-geolocate-active");break;case"ACTIVE_ERROR":this._geolocateButton.classList.add("mapboxgl-ctrl-geolocate-waiting"),this._geolocateButton.classList.add("mapboxgl-ctrl-geolocate-active-error");break;case"BACKGROUND":this._geolocateButton.classList.add("mapboxgl-ctrl-geolocate-background");break;case"BACKGROUND_ERROR":this._geolocateButton.classList.add("mapboxgl-ctrl-geolocate-waiting"),this._geolocateButton.classList.add("mapboxgl-ctrl-geolocate-background-error")}if("OFF"===this._watchState&&void 0!==this._geolocationWatchID)this._clearWatch();else if(void 0===this._geolocationWatchID){var e;this._geolocateButton.classList.add("mapboxgl-ctrl-geolocate-waiting"),this._geolocateButton.setAttribute("aria-pressed","true"),++Xi>1?(e={maximumAge:6e5,timeout:0},Zi=!0):(e=this.options.positionOptions,Zi=!1),this._geolocationWatchID=t.window.navigator.geolocation.watchPosition(this._onSuccess,this._onError,e)}}else t.window.navigator.geolocation.getCurrentPosition(this._onSuccess,this._onError,this.options.positionOptions),this._timeoutId=setTimeout(this._finish,1e4);return!0},n.prototype._clearWatch=function(){t.window.navigator.geolocation.clearWatch(this._geolocationWatchID),this._geolocationWatchID=void 0,this._geolocateButton.classList.remove("mapboxgl-ctrl-geolocate-waiting"),this._geolocateButton.setAttribute("aria-pressed","false"),this.options.showUserLocation&&this._updateMarker(null)},n}(t.Evented),Ji={maxWidth:100,unit:"metric"},$i=function(e){this.options=t.extend({},Ji,e),t.bindAll(["_onMove","setUnit"],this)};function Qi(t,e,r){var n=r&&r.maxWidth||100,i=t._container.clientHeight/2,a=t.unproject([0,i]),o=t.unproject([n,i]),s=a.distanceTo(o);if(r&&"imperial"===r.unit){var l=3.2808*s;l>5280?ta(e,n,l/5280,t._getUIString("ScaleControl.Miles")):ta(e,n,l,t._getUIString("ScaleControl.Feet"))}else r&&"nautical"===r.unit?ta(e,n,s/1852,t._getUIString("ScaleControl.NauticalMiles")):s>=1e3?ta(e,n,s/1e3,t._getUIString("ScaleControl.Kilometers")):ta(e,n,s,t._getUIString("ScaleControl.Meters"))}function ta(t,e,r,n){var i,a,o,s=(i=r,(a=Math.pow(10,(""+Math.floor(i)).length-1))*((o=i/a)>=10?10:o>=5?5:o>=3?3:o>=2?2:o>=1?1:function(t){var e=Math.pow(10,Math.ceil(-Math.log(t)/Math.LN10));return Math.round(t*e)/e}(o))),l=s/r;t.style.width=e*l+"px",t.innerHTML=s+" "+n}$i.prototype.getDefaultPosition=function(){return"bottom-left"},$i.prototype._onMove=function(){Qi(this._map,this._container,this.options)},$i.prototype.onAdd=function(t){return this._map=t,this._container=r.create("div","mapboxgl-ctrl mapboxgl-ctrl-scale",t.getContainer()),this._map.on("move",this._onMove),this._onMove(),this._container},$i.prototype.onRemove=function(){r.remove(this._container),this._map.off("move",this._onMove),this._map=void 0},$i.prototype.setUnit=function(t){this.options.unit=t,Qi(this._map,this._container,this.options)};var ea=function(e){this._fullscreen=!1,e&&e.container&&(e.container instanceof t.window.HTMLElement?this._container=e.container:t.warnOnce("Full screen control 'container' must be a DOM element.")),t.bindAll(["_onClickFullscreen","_changeIcon"],this),"onfullscreenchange"in t.window.document?this._fullscreenchange="fullscreenchange":"onmozfullscreenchange"in t.window.document?this._fullscreenchange="mozfullscreenchange":"onwebkitfullscreenchange"in t.window.document?this._fullscreenchange="webkitfullscreenchange":"onmsfullscreenchange"in t.window.document&&(this._fullscreenchange="MSFullscreenChange")};ea.prototype.onAdd=function(e){return this._map=e,this._container||(this._container=this._map.getContainer()),this._controlContainer=r.create("div","mapboxgl-ctrl mapboxgl-ctrl-group"),this._checkFullscreenSupport()?this._setupUI():(this._controlContainer.style.display="none",t.warnOnce("This device does not support fullscreen mode.")),this._controlContainer},ea.prototype.onRemove=function(){r.remove(this._controlContainer),this._map=null,t.window.document.removeEventListener(this._fullscreenchange,this._changeIcon)},ea.prototype._checkFullscreenSupport=function(){return!!(t.window.document.fullscreenEnabled||t.window.document.mozFullScreenEnabled||t.window.document.msFullscreenEnabled||t.window.document.webkitFullscreenEnabled)},ea.prototype._setupUI=function(){var e=this._fullscreenButton=r.create("button","mapboxgl-ctrl-fullscreen",this._controlContainer);r.create("span","mapboxgl-ctrl-icon",e).setAttribute("aria-hidden",!0),e.type="button",this._updateTitle(),this._fullscreenButton.addEventListener("click",this._onClickFullscreen),t.window.document.addEventListener(this._fullscreenchange,this._changeIcon)},ea.prototype._updateTitle=function(){var t=this._getTitle();this._fullscreenButton.setAttribute("aria-label",t),this._fullscreenButton.title=t},ea.prototype._getTitle=function(){return this._map._getUIString(this._isFullscreen()?"FullscreenControl.Exit":"FullscreenControl.Enter")},ea.prototype._isFullscreen=function(){return this._fullscreen},ea.prototype._changeIcon=function(){(t.window.document.fullscreenElement||t.window.document.mozFullScreenElement||t.window.document.webkitFullscreenElement||t.window.document.msFullscreenElement)===this._container!==this._fullscreen&&(this._fullscreen=!this._fullscreen,this._fullscreenButton.classList.toggle("mapboxgl-ctrl-shrink"),this._fullscreenButton.classList.toggle("mapboxgl-ctrl-fullscreen"),this._updateTitle())},ea.prototype._onClickFullscreen=function(){this._isFullscreen()?t.window.document.exitFullscreen?t.window.document.exitFullscreen():t.window.document.mozCancelFullScreen?t.window.document.mozCancelFullScreen():t.window.document.msExitFullscreen?t.window.document.msExitFullscreen():t.window.document.webkitCancelFullScreen&&t.window.document.webkitCancelFullScreen():this._container.requestFullscreen?this._container.requestFullscreen():this._container.mozRequestFullScreen?this._container.mozRequestFullScreen():this._container.msRequestFullscreen?this._container.msRequestFullscreen():this._container.webkitRequestFullscreen&&this._container.webkitRequestFullscreen()};var ra={closeButton:!0,closeOnClick:!0,focusAfterOpen:!0,className:"",maxWidth:"240px"},na=["a[href]","[tabindex]:not([tabindex='-1'])","[contenteditable]:not([contenteditable='false'])","button:not([disabled])","input:not([disabled])","select:not([disabled])","textarea:not([disabled])"].join(", "),ia=function(e){function n(r){e.call(this),this.options=t.extend(Object.create(ra),r),t.bindAll(["_update","_onClose","remove","_onMouseMove","_onMouseUp","_onDrag"],this)}return e&&(n.__proto__=e),n.prototype=Object.create(e&&e.prototype),n.prototype.constructor=n,n.prototype.addTo=function(e){return this._map&&this.remove(),this._map=e,this.options.closeOnClick&&this._map.on("click",this._onClose),this.options.closeOnMove&&this._map.on("move",this._onClose),this._map.on("remove",this.remove),this._update(),this._focusFirstElement(),this._trackPointer?(this._map.on("mousemove",this._onMouseMove),this._map.on("mouseup",this._onMouseUp),this._container&&this._container.classList.add("mapboxgl-popup-track-pointer"),this._map._canvasContainer.classList.add("mapboxgl-track-pointer")):this._map.on("move",this._update),this.fire(new t.Event("open")),this},n.prototype.isOpen=function(){return!!this._map},n.prototype.remove=function(){return this._content&&r.remove(this._content),this._container&&(r.remove(this._container),delete this._container),this._map&&(this._map.off("move",this._update),this._map.off("move",this._onClose),this._map.off("click",this._onClose),this._map.off("remove",this.remove),this._map.off("mousemove",this._onMouseMove),this._map.off("mouseup",this._onMouseUp),this._map.off("drag",this._onDrag),delete this._map),this.fire(new t.Event("close")),this},n.prototype.getLngLat=function(){return this._lngLat},n.prototype.setLngLat=function(e){return this._lngLat=t.LngLat.convert(e),this._pos=null,this._trackPointer=!1,this._update(),this._map&&(this._map.on("move",this._update),this._map.off("mousemove",this._onMouseMove),this._container&&this._container.classList.remove("mapboxgl-popup-track-pointer"),this._map._canvasContainer.classList.remove("mapboxgl-track-pointer")),this},n.prototype.trackPointer=function(){return this._trackPointer=!0,this._pos=null,this._update(),this._map&&(this._map.off("move",this._update),this._map.on("mousemove",this._onMouseMove),this._map.on("drag",this._onDrag),this._container&&this._container.classList.add("mapboxgl-popup-track-pointer"),this._map._canvasContainer.classList.add("mapboxgl-track-pointer")),this},n.prototype.getElement=function(){return this._container},n.prototype.setText=function(e){return this.setDOMContent(t.window.document.createTextNode(e))},n.prototype.setHTML=function(e){var r,n=t.window.document.createDocumentFragment(),i=t.window.document.createElement("body");for(i.innerHTML=e;r=i.firstChild;)n.appendChild(r);return this.setDOMContent(n)},n.prototype.getMaxWidth=function(){return this._container&&this._container.style.maxWidth},n.prototype.setMaxWidth=function(t){return this.options.maxWidth=t,this._update(),this},n.prototype.setDOMContent=function(t){if(this._content)for(;this._content.hasChildNodes();)this._content.firstChild&&this._content.removeChild(this._content.firstChild);else this._content=r.create("div","mapboxgl-popup-content",this._container);return this._content.appendChild(t),this._createCloseButton(),this._update(),this._focusFirstElement(),this},n.prototype.addClassName=function(t){this._container&&this._container.classList.add(t)},n.prototype.removeClassName=function(t){this._container&&this._container.classList.remove(t)},n.prototype.setOffset=function(t){return this.options.offset=t,this._update(),this},n.prototype.toggleClassName=function(t){if(this._container)return this._container.classList.toggle(t)},n.prototype._createCloseButton=function(){this.options.closeButton&&(this._closeButton=r.create("button","mapboxgl-popup-close-button",this._content),this._closeButton.type="button",this._closeButton.setAttribute("aria-label","Close popup"),this._closeButton.innerHTML="×",this._closeButton.addEventListener("click",this._onClose))},n.prototype._onMouseUp=function(t){this._update(t.point)},n.prototype._onMouseMove=function(t){this._update(t.point)},n.prototype._onDrag=function(t){this._update(t.point)},n.prototype._update=function(t){var e=this,n=this._lngLat||this._trackPointer;if(this._map&&n&&this._content&&(this._container||(this._container=r.create("div","mapboxgl-popup",this._map.getContainer()),this._tip=r.create("div","mapboxgl-popup-tip",this._container),this._container.appendChild(this._content),this.options.className&&this.options.className.split(" ").forEach((function(t){return e._container.classList.add(t)})),this._trackPointer&&this._container.classList.add("mapboxgl-popup-track-pointer")),this.options.maxWidth&&this._container.style.maxWidth!==this.options.maxWidth&&(this._container.style.maxWidth=this.options.maxWidth),this._map.transform.renderWorldCopies&&!this._trackPointer&&(this._lngLat=Vi(this._lngLat,this._pos,this._map.transform)),!this._trackPointer||t)){var i=this._pos=this._trackPointer&&t?t:this._map.project(this._lngLat),a=this.options.anchor,o=aa(this.options.offset);if(!a){var s,l=this._container.offsetWidth,u=this._container.offsetHeight;s=i.y+o.bottom.ythis._map.transform.height-u?["bottom"]:[],i.xthis._map.transform.width-l/2&&s.push("right"),a=0===s.length?"bottom":s.join("-")}var c=i.add(o[a]).round();r.setTransform(this._container,qi[a]+" translate("+c.x+"px,"+c.y+"px)"),Hi(this._container,a,"popup")}},n.prototype._focusFirstElement=function(){if(this.options.focusAfterOpen&&this._container){var t=this._container.querySelector(na);t&&t.focus()}},n.prototype._onClose=function(){this.remove()},n}(t.Evented);function aa(e){if(e){if("number"==typeof e){var r=Math.round(Math.sqrt(.5*Math.pow(e,2)));return{center:new t.Point(0,0),top:new t.Point(0,e),"top-left":new t.Point(r,r),"top-right":new t.Point(-r,r),bottom:new t.Point(0,-e),"bottom-left":new t.Point(r,-r),"bottom-right":new t.Point(-r,-r),left:new t.Point(e,0),right:new t.Point(-e,0)}}if(e instanceof t.Point||Array.isArray(e)){var n=t.Point.convert(e);return{center:n,top:n,"top-left":n,"top-right":n,bottom:n,"bottom-left":n,"bottom-right":n,left:n,right:n}}return{center:t.Point.convert(e.center||[0,0]),top:t.Point.convert(e.top||[0,0]),"top-left":t.Point.convert(e["top-left"]||[0,0]),"top-right":t.Point.convert(e["top-right"]||[0,0]),bottom:t.Point.convert(e.bottom||[0,0]),"bottom-left":t.Point.convert(e["bottom-left"]||[0,0]),"bottom-right":t.Point.convert(e["bottom-right"]||[0,0]),left:t.Point.convert(e.left||[0,0]),right:t.Point.convert(e.right||[0,0])}}return aa(new t.Point(0,0))}var oa={version:t.version,supported:e,setRTLTextPlugin:t.setRTLTextPlugin,getRTLTextPluginStatus:t.getRTLTextPluginStatus,Map:Fi,NavigationControl:ji,GeolocateControl:Ki,AttributionControl:Ei,ScaleControl:$i,FullscreenControl:ea,Popup:ia,Marker:Wi,Style:Ye,LngLat:t.LngLat,LngLatBounds:t.LngLatBounds,Point:t.Point,MercatorCoordinate:t.MercatorCoordinate,Evented:t.Evented,config:t.config,prewarm:function(){jt().acquire(Rt)},clearPrewarmedResources:function(){var t=Bt;t&&(t.isPreloaded()&&1===t.numActive()?(t.release(Rt),Bt=null):console.warn("Could not clear WebWorkers since there are active Map instances that still reference it. The pre-warmed WebWorker pool can only be cleared when all map instances have been removed with map.remove()"))},get accessToken(){return t.config.ACCESS_TOKEN},set accessToken(e){t.config.ACCESS_TOKEN=e},get baseApiUrl(){return t.config.API_URL},set baseApiUrl(e){t.config.API_URL=e},get workerCount(){return Ft.workerCount},set workerCount(t){Ft.workerCount=t},get maxParallelImageRequests(){return t.config.MAX_PARALLEL_IMAGE_REQUESTS},set maxParallelImageRequests(e){t.config.MAX_PARALLEL_IMAGE_REQUESTS=e},clearStorage:function(e){t.clearTileCache(e)},workerUrl:""};return oa})),r}()},3108:function(t,e,r){"use strict";t.exports=r(26099)},26099:function(t,e,r){"use strict";var n=r(64928),i=r(32420),a=r(51160),o=r(76752),s=r(55616),l=r(31264),u=r(47520),c=r(18400),f=r(72512),h=r(76244);function p(t,e){for(var r=e[0],n=e[1],a=1/(e[2]-r),o=1/(e[3]-n),s=new Array(t.length),l=0,u=t.length/2;l>>1;e.dtype||(e.dtype="array"),"string"==typeof e.dtype?d=new(f(e.dtype))(g):e.dtype&&(d=e.dtype,Array.isArray(d)&&(d.length=g));for(var y=0;yr||s>1073741824){for(var h=0;hr+i||M>n+i||S=C||o===s)){var l=m[a];void 0===s&&(s=l.length);for(var u=o;u=g&&f<=w&&h>=y&&h<=T&&P.push(c)}var p=x[a],d=p[4*o+0],v=p[4*o+1],b=p[4*o+2],_=p[4*o+3],k=function(t,e){for(var r=null,n=0;null===r;)if(r=t[4*e+n],++n>t.length)return null;return r}(p,o+1),E=.5*i,O=a+1;e(r,n,E,O,d,v||b||_||k),e(r,n+E,E,O,v,b||_||k),e(r+E,n,E,O,b,_||k),e(r+E,n+E,E,O,_,k)}}(0,0,1,0,0,1),P},d;function E(t,e,r){for(var n=1,i=.5,a=.5,o=.5,s=0;s0){e+=Math.abs(o(t[0]));for(var r=1;r2){for(l=0;l=0))throw new Error("precision must be a positive number");var r=Math.pow(10,e||0);return Math.round(t*r)/r},e.radiansToLength=c,e.lengthToRadians=f,e.lengthToDegrees=function(t,e){return h(f(t,e))},e.bearingToAzimuth=function(t){var e=t%360;return e<0&&(e+=360),e},e.radiansToDegrees=h,e.degreesToRadians=function(t){return t%360*Math.PI/180},e.convertLength=function(t,e,r){if(void 0===e&&(e="kilometers"),void 0===r&&(r="kilometers"),!(t>=0))throw new Error("length must be a positive number");return c(f(t,e),r)},e.convertArea=function(t,r,n){if(void 0===r&&(r="meters"),void 0===n&&(n="kilometers"),!(t>=0))throw new Error("area must be a positive number");var i=e.areaFactors[r];if(!i)throw new Error("invalid original units");var a=e.areaFactors[n];if(!a)throw new Error("invalid final units");return t/i*a},e.isNumber=p,e.isObject=function(t){return!!t&&t.constructor===Object},e.validateBBox=function(t){if(!t)throw new Error("bbox is required");if(!Array.isArray(t))throw new Error("bbox must be an Array");if(4!==t.length&&6!==t.length)throw new Error("bbox must be an Array of 4 or 6 numbers");t.forEach((function(t){if(!p(t))throw new Error("bbox must only contain numbers")}))},e.validateId=function(t){if(!t)throw new Error("id is required");if(-1===["string","number"].indexOf(typeof t))throw new Error("id must be a number or a string")}},3256:function(t,e,r){"use 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n=r(50896);function i(){this.regionalOptions=[],this.regionalOptions[""]={invalidCalendar:"Calendar {0} not found",invalidDate:"Invalid {0} date",invalidMonth:"Invalid {0} month",invalidYear:"Invalid {0} year",differentCalendars:"Cannot mix {0} and {1} dates"},this.local=this.regionalOptions[""],this.calendars={},this._localCals={}}function a(t,e,r,n){if(this._calendar=t,this._year=e,this._month=r,this._day=n,0===this._calendar._validateLevel&&!this._calendar.isValid(this._year,this._month,this._day))throw(u.local.invalidDate||u.regionalOptions[""].invalidDate).replace(/\{0\}/,this._calendar.local.name)}function o(t,e){return"000000".substring(0,e-(t=""+t).length)+t}function s(){this.shortYearCutoff="+10"}function l(t){this.local=this.regionalOptions[t]||this.regionalOptions[""]}n(i.prototype,{instance:function(t,e){t=(t||"gregorian").toLowerCase(),e=e||"";var r=this._localCals[t+"-"+e];if(!r&&this.calendars[t]&&(r=new 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0===arguments.length?this._day:this.set(t,"d")},date:function(t,e,r){if(!this._calendar.isValid(t,e,r))throw(u.local.invalidDate||u.regionalOptions[""].invalidDate).replace(/\{0\}/,this._calendar.local.name);return this._year=t,this._month=e,this._day=r,this},leapYear:function(){return this._calendar.leapYear(this)},epoch:function(){return this._calendar.epoch(this)},formatYear:function(){return this._calendar.formatYear(this)},monthOfYear:function(){return this._calendar.monthOfYear(this)},weekOfYear:function(){return this._calendar.weekOfYear(this)},daysInYear:function(){return this._calendar.daysInYear(this)},dayOfYear:function(){return this._calendar.dayOfYear(this)},daysInMonth:function(){return this._calendar.daysInMonth(this)},dayOfWeek:function(){return this._calendar.dayOfWeek(this)},weekDay:function(){return this._calendar.weekDay(this)},extraInfo:function(){return this._calendar.extraInfo(this)},add:function(t,e){return this._calendar.add(this,t,e)},set:function(t,e){return this._calendar.set(this,t,e)},compareTo:function(t){if(this._calendar.name!==t._calendar.name)throw(u.local.differentCalendars||u.regionalOptions[""].differentCalendars).replace(/\{0\}/,this._calendar.local.name).replace(/\{1\}/,t._calendar.local.name);var e=this._year!==t._year?this._year-t._year:this._month!==t._month?this.monthOfYear()-t.monthOfYear():this._day-t._day;return 0===e?0:e<0?-1:1},calendar:function(){return this._calendar},toJD:function(){return this._calendar.toJD(this)},fromJD:function(t){return this._calendar.fromJD(t)},toJSDate:function(){return this._calendar.toJSDate(this)},fromJSDate:function(t){return this._calendar.fromJSDate(t)},toString:function(){return(this.year()<0?"-":"")+o(Math.abs(this.year()),4)+"-"+o(this.month(),2)+"-"+o(this.day(),2)}}),n(s.prototype,{_validateLevel:0,newDate:function(t,e,r){return null==t?this.today():(t.year&&(this._validate(t,e,r,u.local.invalidDate||u.regionalOptions[""].invalidDate),r=t.day(),e=t.month(),t=t.year()),new a(this,t,e,r))},today:function(){return this.fromJSDate(new Date)},epoch:function(t){return this._validate(t,this.minMonth,this.minDay,u.local.invalidYear||u.regionalOptions[""].invalidYear).year()<0?this.local.epochs[0]:this.local.epochs[1]},formatYear:function(t){var e=this._validate(t,this.minMonth,this.minDay,u.local.invalidYear||u.regionalOptions[""].invalidYear);return(e.year()<0?"-":"")+o(Math.abs(e.year()),4)},monthsInYear:function(t){return this._validate(t,this.minMonth,this.minDay,u.local.invalidYear||u.regionalOptions[""].invalidYear),12},monthOfYear:function(t,e){var r=this._validate(t,e,this.minDay,u.local.invalidMonth||u.regionalOptions[""].invalidMonth);return(r.month()+this.monthsInYear(r)-this.firstMonth)%this.monthsInYear(r)+this.minMonth},fromMonthOfYear:function(t,e){var r=(e+this.firstMonth-2*this.minMonth)%this.monthsInYear(t)+this.minMonth;return 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0!==_&&Math.min(c,_)-Math.max(u,b)>1&&("left"===i.side?(s=i._mainLinePosition,l=r.width):l=i._mainLinePosition):void 0!==m&&void 0!==x&&Math.min(c,x)-Math.max(u,m)>1&&("top"===i.side?(s=i._mainLinePosition,l=r.height):l=i._mainLinePosition)}g[y++]=[{datum:t,traceIndex:t.trace.index,dp:0,pos:t.pos,posref:t.posref,size:t.by*(a?T:1)/2,pmin:s,pmax:l}]})),g.sort((function(t,e){return t[0].posref-e[0].posref||d*(e[0].traceIndex-t[0].traceIndex)}));!i&&p<=v;){for(p++,i=!0,s=0;s.01&&L.pmin===C.pmin&&L.pmax===C.pmax){for(l=E.length-1;l>=0;l--)E[l].dp+=a;for(S.push.apply(S,E),g.splice(s+1,1),c=0,l=S.length-1;l>=0;l--)c+=S[l].dp;for(o=c/S.length,l=S.length-1;l>=0;l--)S[l].dp-=o;i=!1}else s++}g.forEach(A)}for(s=g.length-1;s>=0;s--){var P=g[s];for(l=P.length-1;l>=0;l--){var O=P[l],I=O.datum;I.offset=O.dp,I.del=O.del}}}(Zt,Wt,c,Xt.commonLabelBoundingBox),z(Zt,Wt,c._invScaleX,c._invScaleY)),s&&s.tagName){var Kt=g.getComponentMethod("annotations","hasClickToShow")(t,Ot);f(n.select(s),Kt?"pointer":"")}s&&!a&&function(t,e,r){if(!r||r.length!==t._hoverdata.length)return!0;for(var n=r.length-1;n>=0;n--){var i=r[n],a=t._hoverdata[n];if(i.curveNumber!==a.curveNumber||String(i.pointNumber)!==String(a.pointNumber)||String(i.pointNumbers)!==String(a.pointNumbers))return!0}return!1}(t,0,Pt)&&(Pt&&t.emit("plotly_unhover",{event:e,points:Pt}),t.emit("plotly_hover",{event:e,points:t._hoverdata,xaxes:_,yaxes:w,xvals:H,yvals:G}))}(t,e,r,a,s)}))},e.loneHover=function(t,e){var r=!0;Array.isArray(t)||(r=!1,t=[t]);var i=e.gd,a=U(i),o=V(i),s=O(t.map((function(t){var r=t._x0||t.x0||t.x||0,n=t._x1||t.x1||t.x||0,s=t._y0||t.y0||t.y||0,l=t._y1||t.y1||t.y||0,u=t.eventData;if(u){var c=Math.min(r,n),f=Math.max(r,n),h=Math.min(s,l),d=Math.max(s,l),v=t.trace;if(g.traceIs(v,"gl3d")){var y=i._fullLayout[v.scene]._scene.container,m=y.offsetLeft,x=y.offsetTop;c+=m,f+=m,h+=x,d+=x}u.bbox={x0:c+o,x1:f+o,y0:h+a,y1:d+a},e.inOut_bbox&&e.inOut_bbox.push(u.bbox)}else u=!1;return{color:t.color||p.defaultLine,x0:t.x0||t.x||0,x1:t.x1||t.x||0,y0:t.y0||t.y||0,y1:t.y1||t.y||0,xLabel:t.xLabel,yLabel:t.yLabel,zLabel:t.zLabel,text:t.text,name:t.name,idealAlign:t.idealAlign,borderColor:t.borderColor,fontFamily:t.fontFamily,fontSize:t.fontSize,fontColor:t.fontColor,nameLength:t.nameLength,textAlign:t.textAlign,trace:t.trace||{index:0,hoverinfo:""},xa:{_offset:0},ya:{_offset:0},index:0,hovertemplate:t.hovertemplate||!1,hovertemplateLabels:t.hovertemplateLabels||!1,eventData:u}})),{gd:i,hovermode:"closest",rotateLabels:!1,bgColor:e.bgColor||p.background,container:n.select(e.container),outerContainer:e.outerContainer||e.container}).hoverLabels,l=0,u=0;return s.sort((function(t,e){return t.y0-e.y0})).each((function(t,r){var n=t.y0-t.by/2;t.offset=n-5([\s\S]*)<\/extra>/;function O(t,e){var r=e.gd,i=r._fullLayout,a=e.hovermode,u=e.rotateLabels,f=e.bgColor,d=e.container,v=e.outerContainer,w=e.commonLabelOpts||{};if(0===t.length)return[[]];var T=e.fontFamily||m.HOVERFONT,k=e.fontSize||m.HOVERFONTSIZE,A=t[0],E=A.xa,L=A.ya,P=a.charAt(0),O=P+"Label",D=A[O];if(void 0===D&&"multicategory"===E.type)for(var z=0;zi.width-b?(g=i.width-b,e.attr("d","M"+(b-M)+",0L"+b+","+x+M+"v"+x+(2*S+m.height)+"H-"+b+"V"+x+M+"H"+(b-2*M)+"Z")):e.attr("d","M0,0L"+M+","+x+M+"H"+b+"v"+x+(2*S+m.height)+"H-"+b+"V"+x+M+"H-"+M+"Z"),Y.minX=g-b,Y.maxX=g+b,"top"===E.side?(Y.minY=y-(2*S+m.height),Y.maxY=y-S):(Y.minY=y+S,Y.maxY=y+(2*S+m.height))}else{var _,C,P;"right"===L.side?(_="start",C=1,P="",g=E._offset+E._length):(_="end",C=-1,P="-",g=E._offset),y=L._offset+(A.y0+A.y1)/2,l.attr("text-anchor",_),e.attr("d","M0,0L"+P+M+","+M+"V"+(S+m.height/2)+"h"+P+(2*S+m.width)+"V-"+(S+m.height/2)+"H"+P+M+"V-"+M+"Z"),Y.minY=y-(S+m.height/2),Y.maxY=y+(S+m.height/2),"right"===L.side?(Y.minX=g+M,Y.maxX=g+M+(2*S+m.width)):(Y.minX=g-M-(2*S+m.width),Y.maxX=g-M);var O,I=m.height/2,z=F-m.top-I,R="clip"+i._uid+"commonlabel"+L._id;if(g=0?lt:ut+ht=0?ut:bt+ht=0?ot:st+pt=0?st:_t+pt=0,"top"!==t.idealAlign&&G||!W?G?(O+=R/2,t.anchor="start"):t.anchor="middle":(O-=R/2,t.anchor="end"),t.crossPos=O;else{if(t.pos=O,G=P+z/2+Y<=B,W=P-z/2-Y>=0,"left"!==t.idealAlign&&G||!W)if(G)P+=z/2,t.anchor="start";else{t.anchor="middle";var X=Y/2,Z=P+X-B,K=P-X;Z>0&&(P-=Z),K<0&&(P+=-K)}else P-=z/2,t.anchor="end";t.crossPos=P}w.attr("text-anchor",t.anchor),E&&A.attr("text-anchor",t.anchor),e.attr("transform",s(P,O)+(u?l(_):""))})),{hoverLabels:wt,commonLabelBoundingBox:Y}}function I(t,e,r,n,i,a){var s="",l="";void 0!==t.nameOverride&&(t.name=t.nameOverride),t.name&&(t.trace._meta&&(t.name=o.templateString(t.name,t.trace._meta)),s=N(t.name,t.nameLength));var u=r.charAt(0),c="x"===u?"y":"x";void 0!==t.zLabel?(void 0!==t.xLabel&&(l+="x: "+t.xLabel+"
"),void 0!==t.yLabel&&(l+="y: "+t.yLabel+"
"),"choropleth"!==t.trace.type&&"choroplethmapbox"!==t.trace.type&&(l+=(l?"z: ":"")+t.zLabel)):e&&t[u+"Label"]===i?l=t[c+"Label"]||"":void 0===t.xLabel?void 0!==t.yLabel&&"scattercarpet"!==t.trace.type&&(l=t.yLabel):l=void 0===t.yLabel?t.xLabel:"("+t.xLabel+", "+t.yLabel+")",!t.text&&0!==t.text||Array.isArray(t.text)||(l+=(l?"
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i,s,l,u,f=r.select("text.nums"),p=t.anchor,d="end"===p?-1:1,v=(u=(l=(s={start:1,end:-1,middle:0}[(i=t).anchor])*(M+S))+s*(i.txwidth+S),"middle"===i.anchor&&(l-=i.tx2width/2,u+=i.txwidth/2+S),{alignShift:s,textShiftX:l,text2ShiftX:u}),g=D(t,e),y=g.x,m=g.y,x="middle"===p;r.select("path").attr("d",x?"M-"+a(t.bx/2+t.tx2width/2)+","+o(m-t.by/2)+"h"+a(t.bx)+"v"+o(t.by)+"h-"+a(t.bx)+"Z":"M0,0L"+a(d*M+y)+","+o(M+m)+"v"+o(t.by/2-M)+"h"+a(d*t.bx)+"v-"+o(t.by)+"H"+a(d*M+y)+"V"+o(m-M)+"Z");var b=y+v.textShiftX,_=m+t.ty0-t.by/2+S,w=t.textAlign||"auto";"auto"!==w&&("left"===w&&"start"!==p?(f.attr("text-anchor","start"),b=x?-t.bx/2-t.tx2width/2+S:-t.bx-S):"right"===w&&"end"!==p&&(f.attr("text-anchor","end"),b=x?t.bx/2-t.tx2width/2-S:t.bx+S)),f.call(c.positionText,a(b),o(_)),t.tx2width&&(r.select("text.name").call(c.positionText,a(v.text2ShiftX+v.alignShift*S+y),o(m+t.ty0-t.by/2+S)),r.select("rect").call(h.setRect,a(v.text2ShiftX+(v.alignShift-1)*t.tx2width/2+y),o(m-t.by/2-1),a(t.tx2width),o(t.by+2)))}))}function R(t,e){var r=t.index,n=t.trace||{},a=t.cd[0],s=t.cd[r]||{};function l(t){return t||i(t)&&0===t}var u=Array.isArray(r)?function(t,e){var i=o.castOption(a,r,t);return l(i)?i:o.extractOption({},n,"",e)}:function(t,e){return o.extractOption(s,n,t,e)};function c(e,r,n){var i=u(r,n);l(i)&&(t[e]=i)}if(c("hoverinfo","hi","hoverinfo"),c("bgcolor","hbg","hoverlabel.bgcolor"),c("borderColor","hbc","hoverlabel.bordercolor"),c("fontFamily","htf","hoverlabel.font.family"),c("fontSize","hts","hoverlabel.font.size"),c("fontColor","htc","hoverlabel.font.color"),c("nameLength","hnl","hoverlabel.namelength"),c("textAlign","hta","hoverlabel.align"),t.posref="y"===e||"closest"===e&&"h"===n.orientation?t.xa._offset+(t.x0+t.x1)/2:t.ya._offset+(t.y0+t.y1)/2,t.x0=o.constrain(t.x0,0,t.xa._length),t.x1=o.constrain(t.x1,0,t.xa._length),t.y0=o.constrain(t.y0,0,t.ya._length),t.y1=o.constrain(t.y1,0,t.ya._length),void 0!==t.xLabelVal&&(t.xLabel="xLabel"in t?t.xLabel:v.hoverLabelText(t.xa,t.xLabelVal,n.xhoverformat),t.xVal=t.xa.c2d(t.xLabelVal)),void 0!==t.yLabelVal&&(t.yLabel="yLabel"in t?t.yLabel:v.hoverLabelText(t.ya,t.yLabelVal,n.yhoverformat),t.yVal=t.ya.c2d(t.yLabelVal)),void 0!==t.zLabelVal&&void 0===t.zLabel&&(t.zLabel=String(t.zLabelVal)),!(isNaN(t.xerr)||"log"===t.xa.type&&t.xerr<=0)){var f=v.tickText(t.xa,t.xa.c2l(t.xerr),"hover").text;void 0!==t.xerrneg?t.xLabel+=" +"+f+" / -"+v.tickText(t.xa,t.xa.c2l(t.xerrneg),"hover").text:t.xLabel+=" ± "+f,"x"===e&&(t.distance+=1)}if(!(isNaN(t.yerr)||"log"===t.ya.type&&t.yerr<=0)){var h=v.tickText(t.ya,t.ya.c2l(t.yerr),"hover").text;void 0!==t.yerrneg?t.yLabel+=" +"+h+" / -"+v.tickText(t.ya,t.ya.c2l(t.yerrneg),"hover").text:t.yLabel+=" ± "+h,"y"===e&&(t.distance+=1)}var p=t.hoverinfo||t.trace.hoverinfo;return p&&"all"!==p&&(-1===(p=Array.isArray(p)?p:p.split("+")).indexOf("x")&&(t.xLabel=void 0),-1===p.indexOf("y")&&(t.yLabel=void 0),-1===p.indexOf("z")&&(t.zLabel=void 0),-1===p.indexOf("text")&&(t.text=void 0),-1===p.indexOf("name")&&(t.name=void 0)),t}function F(t,e,r){var n,i,o=r.container,s=r.fullLayout,l=s._size,u=r.event,c=!!e.hLinePoint,f=!!e.vLinePoint;if(o.selectAll(".spikeline").remove(),f||c){var d=p.combine(s.plot_bgcolor,s.paper_bgcolor);if(c){var g,y,m=e.hLinePoint;n=m&&m.xa,"cursor"===(i=m&&m.ya).spikesnap?(g=u.pointerX,y=u.pointerY):(g=n._offset+m.x,y=i._offset+m.y);var x,b,_=a.readability(m.color,d)<1.5?p.contrast(d):m.color,w=i.spikemode,T=i.spikethickness,k=i.spikecolor||_,A=v.getPxPosition(t,i);if(-1!==w.indexOf("toaxis")||-1!==w.indexOf("across")){if(-1!==w.indexOf("toaxis")&&(x=A,b=g),-1!==w.indexOf("across")){var 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l=o.selectAll("g."+f.headerGroupClassName).data(r,p);l.enter().append("g").classed(f.headerGroupClassName,!0);for(var u=s.ensureSingle(o,"g",f.dropdownButtonGroupClassName,(function(t){t.style("pointer-events","all")})),c=0;cw,A=s.barLength+2*s.barPad,M=s.barWidth+2*s.barPad,S=d,E=g+y;E+M>u&&(E=u-M);var L=this.container.selectAll("rect.scrollbar-horizontal").data(k?[0]:[]);L.exit().on(".drag",null).remove(),L.enter().append("rect").classed("scrollbar-horizontal",!0).call(i.fill,s.barColor),k?(this.hbar=L.attr({rx:s.barRadius,ry:s.barRadius,x:S,y:E,width:A,height:M}),this._hbarXMin=S+A/2,this._hbarTranslateMax=w-A):(delete this.hbar,delete this._hbarXMin,delete this._hbarTranslateMax);var C=y>T,P=s.barWidth+2*s.barPad,O=s.barLength+2*s.barPad,I=d+v,D=g;I+P>l&&(I=l-P);var z=this.container.selectAll("rect.scrollbar-vertical").data(C?[0]:[]);z.exit().on(".drag",null).remove(),z.enter().append("rect").classed("scrollbar-vertical",!0).call(i.fill,s.barColor),C?(this.vbar=z.attr({rx:s.barRadius,ry:s.barRadius,x:I,y:D,width:P,height:O}),this._vbarYMin=D+O/2,this._vbarTranslateMax=T-O):(delete this.vbar,delete this._vbarYMin,delete this._vbarTranslateMax);var R=this.id,F=c-.5,B=C?f+P+.5:f+.5,N=h-.5,j=k?p+M+.5:p+.5,U=o._topdefs.selectAll("#"+R).data(k||C?[0]:[]);if(U.exit().remove(),U.enter().append("clipPath").attr("id",R).append("rect"),k||C?(this._clipRect=U.select("rect").attr({x:Math.floor(F),y:Math.floor(N),width:Math.ceil(B)-Math.floor(F),height:Math.ceil(j)-Math.floor(N)}),this.container.call(a.setClipUrl,R,this.gd),this.bg.attr({x:d,y:g,width:v,height:y})):(this.bg.attr({width:0,height:0}),this.container.on("wheel",null).on(".drag",null).call(a.setClipUrl,null),delete this._clipRect),k||C){var 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r=this.position.w-this._box.w,n=this.position.h-this._box.h;if(t=o.constrain(t||0,0,r),e=o.constrain(e||0,0,n),this.translateX=t,this.translateY=e,this.container.call(a.setTranslate,this._box.l-this.position.l-t,this._box.t-this.position.t-e),this._clipRect&&this._clipRect.attr({x:Math.floor(this.position.l+t-.5),y:Math.floor(this.position.t+e-.5)}),this.hbar){var i=t/r;this.hbar.call(a.setTranslate,t+i*this._hbarTranslateMax,e)}if(this.vbar){var s=e/n;this.vbar.call(a.setTranslate,t,e+s*this._vbarTranslateMax)}}},84284:function(t){"use strict";t.exports={FROM_BL:{left:0,center:.5,right:1,bottom:0,middle:.5,top:1},FROM_TL:{left:0,center:.5,right:1,bottom:1,middle:.5,top:0},FROM_BR:{left:1,center:.5,right:0,bottom:0,middle:.5,top:1},LINE_SPACING:1.3,CAP_SHIFT:.7,MID_SHIFT:.35,OPPOSITE_SIDE:{left:"right",right:"left",top:"bottom",bottom:"top"}}},36208:function(t){"use strict";t.exports={axisRefDescription:function(t,e,r){return["If set to a",t,"axis id (e.g. *"+t+"* or","*"+t+"2*), the 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r=t[i[e]];r.visible?(this.enabled[e]=r.showspikes,this.colors[e]=n(r.spikecolor),this.drawSides[e]=r.spikesides,this.lineWidth[e]=r.spikethickness):(this.enabled[e]=!1,this.drawSides[e]=!1)}},t.exports=function(t){var e=new a;return e.merge(t),e}},87152:function(t,e,r){"use strict";t.exports=function(t){for(var e=t.axesOptions,r=t.glplot.axesPixels,s=t.fullSceneLayout,l=[[],[],[]],u=0;u<3;++u){var c=s[a[u]];if(c._length=(r[u].hi-r[u].lo)*r[u].pixelsPerDataUnit/t.dataScale[u],Math.abs(c._length)===1/0||isNaN(c._length))l[u]=[];else{c._input_range=c.range.slice(),c.range[0]=r[u].lo/t.dataScale[u],c.range[1]=r[u].hi/t.dataScale[u],c._m=1/(t.dataScale[u]*r[u].pixelsPerDataUnit),c.range[0]===c.range[1]&&(c.range[0]-=1,c.range[1]+=1);var f=c.tickmode;if("auto"===c.tickmode){c.tickmode="linear";var h=c.nticks||i.constrain(c._length/40,4,9);n.autoTicks(c,Math.abs(c.range[1]-c.range[0])/h)}for(var p=n.calcTicks(c,{msUTC:!0}),d=0;d/g," 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F=x[u=(l=c[M[o]]).type];R[o]=Math.pow(F.acc,1/F.count)/p[o]}g="data"===D||Math.max.apply(null,R)/Math.min.apply(null,R)<=4?R:[1,1,1]}c.aspectratio.x=f.aspectratio.x=g[0],c.aspectratio.y=f.aspectratio.y=g[1],c.aspectratio.z=f.aspectratio.z=g[2],n.glplot.setAspectratio(c.aspectratio),n.viewInitial.aspectratio||(n.viewInitial.aspectratio={x:c.aspectratio.x,y:c.aspectratio.y,z:c.aspectratio.z}),n.viewInitial.aspectmode||(n.viewInitial.aspectmode=c.aspectmode);var B=c.domain||null,N=e._size||null;if(B&&N){var j=n.container.style;j.position="absolute",j.left=N.l+B.x[0]*N.w+"px",j.top=N.t+(1-B.y[1])*N.h+"px",j.width=N.w*(B.x[1]-B.x[0])+"px",j.height=N.h*(B.y[1]-B.y[0])+"px"}n.glplot.redraw()}},k.destroy=function(){var t=this;t.glplot&&(t.camera.mouseListener.enabled=!1,t.container.removeEventListener("wheel",t.camera.wheelListener),t.camera=null,t.glplot.dispose(),t.container.parentNode.removeChild(t.container),t.glplot=null)},k.getCamera=function(){var t,e=this;return e.camera.view.recalcMatrix(e.camera.view.lastT()),{up:{x:(t=e.camera).up[0],y:t.up[1],z:t.up[2]},center:{x:t.center[0],y:t.center[1],z:t.center[2]},eye:{x:t.eye[0],y:t.eye[1],z:t.eye[2]},projection:{type:!0===t._ortho?"orthographic":"perspective"}}},k.setViewport=function(t){var e,r=this,n=t.camera;r.camera.lookAt.apply(this,[[(e=n).eye.x,e.eye.y,e.eye.z],[e.center.x,e.center.y,e.center.z],[e.up.x,e.up.y,e.up.z]]),r.glplot.setAspectratio(t.aspectratio),"orthographic"===n.projection.type!==r.camera._ortho&&(r.glplot.redraw(),r.glplot.clearRGBA(),r.glplot.dispose(),r.initializeGLPlot())},k.isCameraChanged=function(t){var e=this.getCamera(),r=f.nestedProperty(t,this.id+".camera").get();function n(t,e,r,n){var i=["up","center","eye"],a=["x","y","z"];return e[i[r]]&&t[i[r]][a[n]]===e[i[r]][a[n]]}var i=!1;if(void 0===r)i=!0;else{for(var a=0;a<3;a++)for(var o=0;o<3;o++)if(!n(e,r,a,o)){i=!0;break}(!r.projection||e.projection&&e.projection.type!==r.projection.type)&&(i=!0)}return i},k.isAspectChanged=function(t){var e=this.glplot.getAspectratio(),r=f.nestedProperty(t,this.id+".aspectratio").get();return void 0===r||r.x!==e.x||r.y!==e.y||r.z!==e.z},k.saveLayout=function(t){var e,r,n,i,a,o,s=this,l=s.fullLayout,u=s.isCameraChanged(t),h=s.isAspectChanged(t),p=u||h;if(p){var d={};u&&(e=s.getCamera(),n=(r=f.nestedProperty(t,s.id+".camera")).get(),d[s.id+".camera"]=n),h&&(i=s.glplot.getAspectratio(),o=(a=f.nestedProperty(t,s.id+".aspectratio")).get(),d[s.id+".aspectratio"]=o),c.call("_storeDirectGUIEdit",t,l._preGUI,d),u&&(r.set(e),f.nestedProperty(l,s.id+".camera").set(e)),h&&(a.set(i),f.nestedProperty(l,s.id+".aspectratio").set(i),s.glplot.redraw())}return p},k.updateFx=function(t,e){var r=this,n=r.camera;if(n)if("orbit"===t)n.mode="orbit",n.keyBindingMode="rotate";else if("turntable"===t){n.up=[0,0,1],n.mode="turntable",n.keyBindingMode="rotate";var i=r.graphDiv,a=i._fullLayout,o=r.fullSceneLayout.camera,s=o.up.x,l=o.up.y,u=o.up.z;if(u/Math.sqrt(s*s+l*l+u*u)<.999){var h=r.id+".camera.up",p={x:0,y:0,z:1},d={};d[h]=p;var v=i.layout;c.call("_storeDirectGUIEdit",v,a._preGUI,d),o.up=p,f.nestedProperty(v,h).set(p)}}else n.keyBindingMode=t;r.fullSceneLayout.hovermode=e},k.toImage=function(t){var e=this;t||(t="png"),e.staticMode&&e.container.appendChild(n),e.glplot.redraw();var r=e.glplot.gl,i=r.drawingBufferWidth,a=r.drawingBufferHeight;r.bindFramebuffer(r.FRAMEBUFFER,null);var o=new Uint8Array(i*a*4);r.readPixels(0,0,i,a,r.RGBA,r.UNSIGNED_BYTE,o),function(t,e,r){for(var n=0,i=r-1;n0)for(var s=255/o,l=0;l<3;++l)t[a+l]=Math.min(s*t[a+l],255)}}(o,i,a);var s=document.createElement("canvas");s.width=i,s.height=a;var 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t=i.numbersScaler(h);z+=t[2];var e,r=S(v,"numbersScale",1,t[0],z,Math.min);v._scaleNumbers||(r=1),e=v._isAngular?y-r*h.bottom:y-r*(h.top+h.bottom)/2,v._numbersTop=r*h.top+e;var n=h[T];"center"===T&&(n=(h.left+h.right)/2);var a=g-r*n;return a=S(v,"numbersTranslate",0,a,z,Math.max),l(a,e)+s(r)}))}(t,I,e,{numbersX:v,numbersY:E,numbersScaler:L,transitionOpts:r,onComplete:g}),D&&(C={range:O.gauge.axis.range,color:O.gauge.bgcolor,line:{color:O.gauge.bordercolor,width:0},thickness:1},P={range:O.gauge.axis.range,color:"rgba(0, 0, 0, 0)",line:{color:O.gauge.bordercolor,width:O.gauge.borderwidth},thickness:1});var W=I.selectAll("g.angular").data(z?e:[]);W.exit().remove();var Y=I.selectAll("g.angularaxis").data(z?e:[]);Y.exit().remove(),z&&function(t,e,r,a){var o,s,f,h,p=r[0].trace,v=a.size,g=a.radius,y=a.innerRadius,m=a.gaugeBg,x=a.gaugeOutline,b=[v.l+v.w/2,v.t+v.h/2+g/2],_=a.gauge,A=a.layer,M=a.transitionOpts,S=a.onComplete,E=Math.PI/2;function L(t){var 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U,V,q,H=j.select("path");w(M)?(H.transition().duration(M.duration).ease(M.easing).each("end",(function(){S&&S()})).each("interrupt",(function(){S&&S()})).attrTween("d",(U=N,V=L(r[0].lastY),q=L(r[0].y),function(){var t=i(V,q);return function(e){return U.endAngle(t(e))()}})),p._lastValue=r[0].y):H.attr("d","number"==typeof r[0].y?N.endAngle(L(r[0].y)):"M0,0Z"),H.call(T),j.exit().remove(),F=[];var G=p.gauge.threshold.value;(G||0===G)&&F.push({range:[G,G],color:p.gauge.threshold.color,line:{color:p.gauge.threshold.line.color,width:p.gauge.threshold.line.width},thickness:p.gauge.threshold.thickness});var W=_.selectAll("g.threshold-arc").data(F);W.enter().append("g").classed("threshold-arc",!0).append("path"),W.select("path").call(P).call(T),W.exit().remove();var Y=_.selectAll("g.gauge-outline").data([x]);Y.enter().append("g").classed("gauge-outline",!0).append("path"),Y.select("path").call(P).call(T),Y.exit().remove()}(t,0,e,{radius:U,innerRadius:V,gauge:W,layer:Y,size:B,gaugeBg:C,gaugeOutline:P,transitionOpts:r,onComplete:g});var X=I.selectAll("g.bullet").data(R?e:[]);X.exit().remove();var Z=I.selectAll("g.bulletaxis").data(R?e:[]);Z.exit().remove(),R&&function(t,e,r,n){var i,a,o,s,u,c=r[0].trace,f=n.gauge,p=n.layer,v=n.gaugeBg,g=n.gaugeOutline,y=n.size,x=c.domain,b=n.transitionOpts,_=n.onComplete;f.enter().append("g").classed("bullet",!0),f.attr("transform",l(y.l,y.t)),p.enter().append("g").classed("bulletaxis",!0).classed("crisp",!0),p.selectAll("g.xbulletaxistick,path,text").remove();var A=y.h,M=c.gauge.bar.thickness*A,S=x.x[0],E=x.x[0]+(x.x[1]-x.x[0])*(c._hasNumber||c._hasDelta?1-h.bulletNumberDomainSize:1);function L(t){t.attr("width",(function(t){return Math.max(0,i.c2p(t.range[1])-i.c2p(t.range[0]))})).attr("x",(function(t){return 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O=f.selectAll("g.value-bullet").data([c.gauge.bar]);O.enter().append("g").classed("value-bullet",!0).append("rect"),O.select("rect").attr("height",M).attr("y",(A-M)/2).call(T),w(b)?O.select("rect").transition().duration(b.duration).ease(b.easing).each("end",(function(){_&&_()})).each("interrupt",(function(){_&&_()})).attr("width",Math.max(0,i.c2p(Math.min(c.gauge.axis.range[1],r[0].y)))):O.select("rect").attr("width","number"==typeof r[0].y?Math.max(0,i.c2p(Math.min(c.gauge.axis.range[1],r[0].y))):0),O.exit().remove();var I=r.filter((function(){return 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n=r(49084),i=r(29736).axisHoverFormat,a=r(21776).Ks,o=r(16716),s=r(45464),l=r(92880).extendFlat;t.exports=l({x:{valType:"data_array",editType:"calc+clearAxisTypes"},y:{valType:"data_array",editType:"calc+clearAxisTypes"},z:{valType:"data_array",editType:"calc+clearAxisTypes"},i:{valType:"data_array",editType:"calc"},j:{valType:"data_array",editType:"calc"},k:{valType:"data_array",editType:"calc"},text:{valType:"string",dflt:"",arrayOk:!0,editType:"calc"},hovertext:{valType:"string",dflt:"",arrayOk:!0,editType:"calc"},hovertemplate:a({editType:"calc"}),xhoverformat:i("x"),yhoverformat:i("y"),zhoverformat:i("z"),delaunayaxis:{valType:"enumerated",values:["x","y","z"],dflt:"z",editType:"calc"},alphahull:{valType:"number",dflt:-1,editType:"calc"},intensity:{valType:"data_array",editType:"calc"},intensitymode:{valType:"enumerated",values:["vertex","cell"],dflt:"vertex",editType:"calc"},color:{valType:"color",editType:"calc"},vertexcolor:{valType:"data_array",editType:"calc"},facecolor:{valType:"data_array",editType:"calc"},transforms:void 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p=s(t,e,{name:"dimensions",handleItemDefaults:f}),d=function(t,e,r,o,s){s("line.shape"),s("line.hovertemplate");var l=s("line.color",o.colorway[0]);if(i(t,"line")&&n.isArrayOrTypedArray(l)){if(l.length)return s("line.colorscale"),a(t,e,o,s,{prefix:"line.",cLetter:"c"}),l.length;e.line.color=r}return 1/0}(t,e,r,c,h);o(e,c,h),Array.isArray(p)&&p.length||(e.visible=!1),u(e,p,"values",d),h("hoveron"),h("hovertemplate"),h("arrangement"),h("bundlecolors"),h("sortpaths"),h("counts");var v={family:c.font.family,size:Math.round(c.font.size),color:c.font.color};n.coerceFont(h,"labelfont",v);var g={family:c.font.family,size:Math.round(c.font.size/1.2),color:c.font.color};n.coerceFont(h,"tickfont",g)}},22020:function(t,e,r){"use strict";t.exports={attributes:r(72140),supplyDefaults:r(76671),calc:r(69136),plot:r(60268),colorbar:{container:"line",min:"cmin",max:"cmax"},moduleType:"trace",name:"parcats",basePlotModule:r(91800),categories:["noOpacity"],meta:{}}},51036:function(t,e,r){"use strict";var n=r(33428),i=r(67756).Gz,a=r(36424),o=r(93024),s=r(3400),l=s.strTranslate,u=r(43616),c=r(49760),f=r(72736);function h(t,e,r,i){var a=e._context.staticPlot,o=t.map(F.bind(0,e,r)),c=i.selectAll("g.parcatslayer").data([null]);c.enter().append("g").attr("class","parcatslayer").style("pointer-events",a?"none":"all");var h=c.selectAll("g.trace.parcats").data(o,p),m=h.enter().append("g").attr("class","trace parcats");h.attr("transform",(function(t){return l(t.x,t.y)})),m.append("g").attr("class","paths");var x=h.select("g.paths").selectAll("path.path").data((function(t){return t.paths}),p);x.attr("fill",(function(t){return t.model.color}));var w=x.enter().append("path").attr("class","path").attr("stroke-opacity",0).attr("fill",(function(t){return t.model.color})).attr("fill-opacity",0);_(w),x.attr("d",(function(t){return t.svgD})),w.empty()||x.sort(v),x.exit().remove(),x.on("mouseover",g).on("mouseout",y).on("click",b),m.append("g").attr("class","dimensions");var A=h.select("g.dimensions").selectAll("g.dimension").data((function(t){return t.dimensions}),p);A.enter().append("g").attr("class","dimension"),A.attr("transform",(function(t){return l(t.x,0)})),A.exit().remove();var M=A.selectAll("g.category").data((function(t){return t.categories}),p),S=M.enter().append("g").attr("class","category");M.attr("transform",(function(t){return l(0,t.y)})),S.append("rect").attr("class","catrect").attr("pointer-events","none"),M.select("rect.catrect").attr("fill","none").attr("width",(function(t){return t.width})).attr("height",(function(t){return t.height})),T(S);var E=M.selectAll("rect.bandrect").data((function(t){return t.bands}),p);E.each((function(){s.raiseToTop(this)})),E.attr("fill",(function(t){return t.color}));var D=E.enter().append("rect").attr("class","bandrect").attr("stroke-opacity",0).attr("fill",(function(t){return t.color})).attr("fill-opacity",0);E.attr("fill",(function(t){return t.color})).attr("width",(function(t){return t.width})).attr("height",(function(t){return t.height})).attr("y",(function(t){return t.y})).attr("cursor",(function(t){return"fixed"===t.parcatsViewModel.arrangement?"default":"perpendicular"===t.parcatsViewModel.arrangement?"ns-resize":"move"})),k(D),E.exit().remove(),S.append("text").attr("class","catlabel").attr("pointer-events","none");var z=e._fullLayout.paper_bgcolor;M.select("text.catlabel").attr("text-anchor",(function(t){return d(t)?"start":"end"})).attr("alignment-baseline","middle").style("text-shadow",f.makeTextShadow(z)).style("fill","rgb(0, 0, 0)").attr("x",(function(t){return d(t)?t.width+5:-5})).attr("y",(function(t){return t.height/2})).text((function(t){return t.model.categoryLabel})).each((function(t){u.font(n.select(this),t.parcatsViewModel.categorylabelfont),f.convertToTspans(n.select(this),e)})),S.append("text").attr("class","dimlabel"),M.select("text.dimlabel").attr("text-anchor","middle").attr("alignment-baseline","baseline").attr("cursor",(function(t){return"fixed"===t.parcatsViewModel.arrangement?"default":"ew-resize"})).attr("x",(function(t){return t.width/2})).attr("y",-5).text((function(t,e){return 0===e?t.parcatsViewModel.model.dimensions[t.model.dimensionInd].dimensionLabel:null})).each((function(t){u.font(n.select(this),t.parcatsViewModel.labelfont)})),M.selectAll("rect.bandrect").on("mouseover",L).on("mouseout",C),M.exit().remove(),A.call(n.behavior.drag().origin((function(t){return{x:t.x,y:0}})).on("dragstart",P).on("drag",O).on("dragend",I)),h.each((function(t){t.traceSelection=n.select(this),t.pathSelection=n.select(this).selectAll("g.paths").selectAll("path.path"),t.dimensionSelection=n.select(this).selectAll("g.dimensions").selectAll("g.dimension")})),h.exit().remove()}function p(t){return t.key}function d(t){var e=t.parcatsViewModel.dimensions.length,r=t.parcatsViewModel.dimensions[e-1].model.dimensionInd;return t.model.dimensionInd===r}function v(t,e){return t.model.rawColor>e.model.rawColor?1:t.model.rawColor"),L=n.mouse(f)[0];o.loneHover({trace:h,x:b-d.left+v.left,y:_-d.top+v.top,text:E,color:t.model.color,borderColor:"black",fontFamily:'Monaco, "Courier New", 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e=t.parcatsViewModel;e.dragDimension||(_(e.pathSelection),T(e.dimensionSelection.selectAll("g.category")),k(e.dimensionSelection.selectAll("g.category").selectAll("rect.bandrect")),o.loneUnhover(e.graphDiv._fullLayout._hoverlayer.node()),e.pathSelection.sort(v),-1!==e.hoverinfoItems.indexOf("skip"))||("color"===t.parcatsViewModel.hoveron?S(this,"plotly_unhover",n.event):M(this,"plotly_unhover",n.event))}function P(t){"fixed"!==t.parcatsViewModel.arrangement&&(t.dragDimensionDisplayInd=t.model.displayInd,t.initialDragDimensionDisplayInds=t.parcatsViewModel.model.dimensions.map((function(t){return t.displayInd})),t.dragHasMoved=!1,t.dragCategoryDisplayInd=null,n.select(this).selectAll("g.category").select("rect.catrect").each((function(e){var r=n.mouse(this)[0],i=n.mouse(this)[1];-2<=r&&r<=e.width+2&&-2<=i&&i<=e.height+2&&(t.dragCategoryDisplayInd=e.model.displayInd,t.initialDragCategoryDisplayInds=t.model.categories.map((function(t){return 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t,e,r=[];return{set:function(n){1===(r=n.map((function(t){return t.slice().sort(s)})).sort(A)).length&&r[0][0]===-1/0&&r[0][1]===1/0&&(r=[[0,-1]]),t=S(r),e=r.reduce((function(t,e){return[Math.min(t[0],e[0]),Math.max(t[1],e[1])]}),[1/0,-1/0])},get:function(){return r.slice()},getConsolidated:function(){return t},getBounds:function(){return e}}}();return l.set(r),{filter:l,filterSpecified:e,svgBrush:{extent:[],brushStartCallback:n,brushCallback:(o=i,function(t){var e=t.brush,r=function(t){return t.svgBrush.extent.map((function(t){return t.slice()}))}(e),n=r.slice();e.filter.set(n),o()}),brushEndCallback:a}}},ensureAxisBrush:function(t,e,r){var i=t.selectAll("."+n.cn.axisBrush).data(o,a);i.enter().append("g").classed(n.cn.axisBrush,!0),function(t,e,r){var 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n=e[0].trace;c[r]=n.index;var i=f[r]=n._fullInput.index;l[r]=t.data[i].dimensions,u[r]=t.data[i].dimensions.slice()})),n(t,e,{width:h.w,height:h.h,margin:{t:h.t,r:h.r,b:h.b,l:h.l}},{filterChanged:function(e,n,i){var a=u[e][n],o=i.map((function(t){return t.slice()})),s="dimensions["+n+"].constraintrange",l=r._tracePreGUI[t._fullData[c[e]]._fullInput.uid];if(void 0===l[s]){var h=a.constraintrange;l[s]=h||null}var p=t._fullData[c[e]].dimensions[n];o.length?(1===o.length&&(o=o[0]),a.constraintrange=o,p.constraintrange=o.slice(),o=[o]):(delete a.constraintrange,delete p.constraintrange,o=null);var d={};d[s]=o,t.emit("plotly_restyle",[d,[f[e]]])},hover:function(e){t.emit("plotly_hover",e)},unhover:function(e){t.emit("plotly_unhover",e)},axesMoved:function(e,r){var n=function(t,e){return function(r,n){return s(t,e,r)-s(t,e,n)}}(r,u[e].filter(a));l[e].sort(n),u[e].filter((function(t){return!a(t)})).sort((function(t){return 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n=r(45464),i=r(86968).u,a=r(25376),o=r(22548),s=r(21776).Ks,l=r(21776).Gw,u=r(92880).extendFlat,c=r(98192).c,f=a({editType:"plot",arrayOk:!0,colorEditType:"plot"});t.exports={labels:{valType:"data_array",editType:"calc"},label0:{valType:"number",dflt:0,editType:"calc"},dlabel:{valType:"number",dflt:1,editType:"calc"},values:{valType:"data_array",editType:"calc"},marker:{colors:{valType:"data_array",editType:"calc"},line:{color:{valType:"color",dflt:o.defaultLine,arrayOk:!0,editType:"style"},width:{valType:"number",min:0,dflt:0,arrayOk:!0,editType:"style"},editType:"calc"},pattern:c,editType:"calc"},text:{valType:"data_array",editType:"plot"},hovertext:{valType:"string",dflt:"",arrayOk:!0,editType:"style"},scalegroup:{valType:"string",dflt:"",editType:"calc"},textinfo:{valType:"flaglist",flags:["label","text","value","percent"],extras:["none"],editType:"calc"},hoverinfo:u({},n.hoverinfo,{flags:["label","text","value","percent","name"]}),hovertemplate:s({},{keys:["label","color","value","percent","text"]}),texttemplate:l({editType:"plot"},{keys:["label","color","value","percent","text"]}),textposition:{valType:"enumerated",values:["inside","outside","auto","none"],dflt:"auto",arrayOk:!0,editType:"plot"},textfont:u({},f,{}),insidetextorientation:{valType:"enumerated",values:["horizontal","radial","tangential","auto"],dflt:"auto",editType:"plot"},insidetextfont:u({},f,{}),outsidetextfont:u({},f,{}),automargin:{valType:"boolean",dflt:!1,editType:"plot"},title:{text:{valType:"string",dflt:"",editType:"plot"},font:u({},f,{}),position:{valType:"enumerated",values:["top 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n=r(38248),i=r(49760),a=r(76308),o={};function s(t){return function(e,r){return!!e&&!!(e=i(e)).isValid()&&(e=a.addOpacity(e,e.getAlpha()),t[r]||(t[r]=e),e)}}function l(t,e){var r,n=JSON.stringify(t),a=e[n];if(!a){for(a=t.slice(),r=0;r=0})),("funnelarea"===e.type?y:e.sort)&&a.sort((function(t,e){return e.v-t.v})),a[0]&&(a[0].vTotal=g),a},crossTraceCalc:function(t,e){var r=(e||{}).type;r||(r="pie");var n=t._fullLayout,i=t.calcdata,a=n[r+"colorway"],s=n["_"+r+"colormap"];n["extend"+r+"colors"]&&(a=l(a,o));for(var u=0,c=0;c0){s=!0;break}}s||(o=0)}return{hasLabels:r,hasValues:a,len:o}}function c(t,e,r,n,i){n("marker.line.width")&&n("marker.line.color",i?void 0:r.paper_bgcolor);var a=n("marker.colors");l(n,"marker.pattern",a),t.marker&&!e.marker.pattern.fgcolor&&(e.marker.pattern.fgcolor=t.marker.colors),e.marker.pattern.bgcolor||(e.marker.pattern.bgcolor=r.paper_bgcolor)}t.exports={handleLabelsAndValues:u,handleMarkerDefaults:c,supplyDefaults:function(t,e,r,n){function l(r,n){return i.coerce(t,e,a,r,n)}var f=u(l("labels"),l("values")),h=f.len;if(e._hasLabels=f.hasLabels,e._hasValues=f.hasValues,!e._hasLabels&&e._hasValues&&(l("label0"),l("dlabel")),h){e._length=h,c(t,e,n,l,!0),l("scalegroup");var p,d=l("text"),v=l("texttemplate");if(v||(p=l("textinfo",i.isArrayOrTypedArray(d)?"text+percent":"percent")),l("hovertext"),l("hovertemplate"),v||p&&"none"!==p){var g=l("textposition");s(t,e,n,l,g,{moduleHasSelected:!1,moduleHasUnselected:!1,moduleHasConstrain:!1,moduleHasCliponaxis:!1,moduleHasTextangle:!1,moduleHasInsideanchor:!1}),(Array.isArray(g)||"auto"===g||"outside"===g)&&l("automargin"),("inside"===g||"auto"===g||Array.isArray(g))&&l("insidetextorientation")}o(e,n,l);var y=l("hole");if(l("title.text")){var m=l("title.position",y?"middle center":"top center");y||"middle center"!==m||(e.title.position="top center"),i.coerceFont(l,"title.font",n.font)}l("sort"),l("direction"),l("rotation"),l("pull")}else e.visible=!1}}},53644:function(t,e,r){"use strict";var n=r(10624).appendArrayMultiPointValues;t.exports=function(t,e){var r={curveNumber:e.index,pointNumbers:t.pts,data:e._input,fullData:e,label:t.label,color:t.color,value:t.v,percent:t.percent,text:t.text,bbox:t.bbox,v:t.v};return 1===t.pts.length&&(r.pointNumber=r.i=t.pts[0]),n(r,e,t.pts),"funnelarea"===e.type&&(delete r.v,delete r.i),r}},21552:function(t,e,r){"use strict";var n=r(43616),i=r(76308);t.exports=function(t,e,r,a){var o=r.marker.pattern;o&&o.shape?n.pointStyle(t,r,a,e):i.fill(t,e.color)}},69656:function(t,e,r){"use strict";var n=r(3400);function i(t){return-1!==t.indexOf("e")?t.replace(/[.]?0+e/,"e"):-1!==t.indexOf(".")?t.replace(/[.]?0+$/,""):t}e.formatPiePercent=function(t,e){var r=i((100*t).toPrecision(3));return n.numSeparate(r,e)+"%"},e.formatPieValue=function(t,e){var r=i(t.toPrecision(10));return n.numSeparate(r,e)},e.getFirstFilled=function(t,e){if(n.isArrayOrTypedArray(t))for(var r=0;r"),name:f.hovertemplate||-1!==h.indexOf("name")?f.name:void 0,idealAlign:t.pxmid[0]<0?"left":"right",color:g.castOption(_.bgcolor,t.pts)||t.color,borderColor:g.castOption(_.bordercolor,t.pts),fontFamily:g.castOption(w.family,t.pts),fontSize:g.castOption(w.size,t.pts),fontColor:g.castOption(w.color,t.pts),nameLength:g.castOption(_.namelength,t.pts),textAlign:g.castOption(_.align,t.pts),hovertemplate:g.castOption(f.hovertemplate,t.pts),hovertemplateLabels:t,eventData:[y(t,f)]},{container:r._hoverlayer.node(),outerContainer:r._paper.node(),gd:e,inOut_bbox:T}),t.bbox=T[0],u._hasHoverLabel=!0}u._hasHoverEvent=!0,e.emit("plotly_hover",{points:[y(t,f)],event:n.event})}})),t.on("mouseout",(function(t){var r=e._fullLayout,i=e._fullData[u.index],o=n.select(this).datum();u._hasHoverEvent&&(t.originalEvent=n.event,e.emit("plotly_unhover",{points:[y(o,i)],event:n.event}),u._hasHoverEvent=!1),u._hasHoverLabel&&(a.loneUnhover(r._hoverlayer.node()),u._hasHoverLabel=!1)})),t.on("click",(function(t){var r=e._fullLayout,i=e._fullData[u.index];e._dragging||!1===r.hovermode||(e._hoverdata=[y(t,i)],a.click(e,n.event))}))}function b(t,e,r){var n=g.castOption(t.insidetextfont.color,e.pts);!n&&t._input.textfont&&(n=g.castOption(t._input.textfont.color,e.pts));var i=g.castOption(t.insidetextfont.family,e.pts)||g.castOption(t.textfont.family,e.pts)||r.family,a=g.castOption(t.insidetextfont.size,e.pts)||g.castOption(t.textfont.size,e.pts)||r.size;return{color:n||o.contrast(e.color),family:i,size:a}}function _(t,e){for(var r,n,i=0;ie&&e>n||r=-4;g-=2)y(Math.PI*g,"tan");for(g=4;g>=-4;g-=2)y(Math.PI*(g+1),"tan")}if(f||p){for(g=4;g>=-4;g-=2)y(Math.PI*(g+1.5),"rad");for(g=4;g>=-4;g-=2)y(Math.PI*(g+.5),"rad")}}if(s||d||f){var m=Math.sqrt(t.width*t.width+t.height*t.height);if((a={scale:i*n*2/m,rCenter:1-i,rotate:0}).textPosAngle=(e.startangle+e.stopangle)/2,a.scale>=1)return a;v.push(a)}(d||p)&&((a=T(t,n,o,l,u)).textPosAngle=(e.startangle+e.stopangle)/2,v.push(a)),(d||h)&&((a=k(t,n,o,l,u)).textPosAngle=(e.startangle+e.stopangle)/2,v.push(a));for(var x=0,b=0,_=0;_=1)break}return v[x]}function T(t,e,r,n,i){e=Math.max(0,e-2*v);var a=t.width/t.height,o=S(a,n,e,r);return{scale:2*o/t.height,rCenter:A(a,o/e),rotate:M(i)}}function k(t,e,r,n,i){e=Math.max(0,e-2*v);var a=t.height/t.width,o=S(a,n,e,r);return{scale:2*o/t.width,rCenter:A(a,o/e),rotate:M(i+Math.PI/2)}}function A(t,e){return Math.cos(e)-t*e}function M(t){return(180/Math.PI*t+720)%180-90}function S(t,e,r,n){var i=t+1/(2*Math.tan(e));return r*Math.min(1/(Math.sqrt(i*i+.5)+i),n/(Math.sqrt(t*t+n/2)+t))}function E(t,e){return t.v!==e.vTotal||e.trace.hole?Math.min(1/(1+1/Math.sin(t.halfangle)),t.ring/2):1}function L(t,e){var r=e.pxmid[0],n=e.pxmid[1],i=t.width/2,a=t.height/2;return r<0&&(i*=-1),n<0&&(a*=-1),{scale:1,rCenter:1,rotate:0,x:i+Math.abs(a)*(i>0?1:-1)/2,y:a/(1+r*r/(n*n)),outside:!0}}function C(t,e){var r,n,i,a=t.trace,o={x:t.cx,y:t.cy},s={tx:0,ty:0};s.ty+=a.title.font.size,i=O(a),-1!==a.title.position.indexOf("top")?(o.y-=(1+i)*t.r,s.ty-=t.titleBox.height):-1!==a.title.position.indexOf("bottom")&&(o.y+=(1+i)*t.r);var l,u=t.r/(void 0===(l=t.trace.aspectratio)?1:l),c=e.w*(a.domain.x[1]-a.domain.x[0])/2;return-1!==a.title.position.indexOf("left")?(c+=u,o.x-=(1+i)*u,s.tx+=t.titleBox.width/2):-1!==a.title.position.indexOf("center")?c*=2:-1!==a.title.position.indexOf("right")&&(c+=u,o.x+=(1+i)*u,s.tx-=t.titleBox.width/2),r=c/t.titleBox.width,n=P(t,e)/t.titleBox.height,{x:o.x,y:o.y,scale:Math.min(r,n),tx:s.tx,ty:s.ty}}function P(t,e){var r=t.trace,n=e.h*(r.domain.y[1]-r.domain.y[0]);return Math.min(t.titleBox.height,n/2)}function O(t){var e,r=t.pull;if(!r)return 0;if(l.isArrayOrTypedArray(r))for(r=0,e=0;er&&(r=t.pull[e]);return r}function I(t,e){for(var r=[],n=0;n1?c=(u=r.r)/i.aspectratio:u=(c=r.r)*i.aspectratio,l=(u*=(1+i.baseratio)/2)*c}o=Math.min(o,l/r.vTotal)}for(n=0;n")}if(a){var x=l.castOption(i,e.i,"texttemplate");if(x){var b=function(t){return{label:t.label,value:t.v,valueLabel:g.formatPieValue(t.v,n.separators),percent:t.v/r.vTotal,percentLabel:g.formatPiePercent(t.v/r.vTotal,n.separators),color:t.color,text:t.text,customdata:l.castOption(i,t.i,"customdata")}}(e),_=g.getFirstFilled(i.text,e.pts);(m(_)||""===_)&&(b.text=_),e.text=l.texttemplateString(x,b,t._fullLayout._d3locale,b,i._meta||{})}else e.text=""}}function R(t,e){var r=t.rotate*Math.PI/180,n=Math.cos(r),i=Math.sin(r),a=(e.left+e.right)/2,o=(e.top+e.bottom)/2;t.textX=a*n-o*i,t.textY=a*i+o*n,t.noCenter=!0}t.exports={plot:function(t,e){var r=t._context.staticPlot,a=t._fullLayout,h=a._size;d("pie",a),_(e,t),I(e,h);var v=l.makeTraceGroups(a._pielayer,e,"trace").each((function(e){var d=n.select(this),v=e[0],y=v.trace;!function(t){var e,r,n,i=t[0],a=i.r,o=i.trace,s=g.getRotationAngle(o.rotation),l=2*Math.PI/i.vTotal,u="px0",c="px1";if("counterclockwise"===o.direction){for(e=0;ei.vTotal/2?1:0,r.halfangle=Math.PI*Math.min(r.v/i.vTotal,.5),r.ring=1-o.hole,r.rInscribed=E(r,i))}(e),d.attr("stroke-linejoin","round"),d.each((function(){var m=n.select(this).selectAll("g.slice").data(e);m.enter().append("g").classed("slice",!0),m.exit().remove();var _=[[[],[]],[[],[]]],T=!1;m.each((function(i,o){if(i.hidden)n.select(this).selectAll("path,g").remove();else{i.pointNumber=i.i,i.curveNumber=y.index,_[i.pxmid[1]<0?0:1][i.pxmid[0]<0?0:1].push(i);var u=v.cx,c=v.cy,h=n.select(this),d=h.selectAll("path.surface").data([i]);if(d.enter().append("path").classed("surface",!0).style({"pointer-events":r?"none":"all"}),h.call(x,t,e),y.pull){var m=+g.castOption(y.pull,i.pts)||0;m>0&&(u+=m*i.pxmid[0],c+=m*i.pxmid[1])}i.cxFinal=u,i.cyFinal=c;var k=y.hole;if(i.v===v.vTotal){var A="M"+(u+i.px0[0])+","+(c+i.px0[1])+P(i.px0,i.pxmid,!0,1)+P(i.pxmid,i.px0,!0,1)+"Z";k?d.attr("d","M"+(u+k*i.px0[0])+","+(c+k*i.px0[1])+P(i.px0,i.pxmid,!1,k)+P(i.pxmid,i.px0,!1,k)+"Z"+A):d.attr("d",A)}else{var M=P(i.px0,i.px1,!0,1);if(k){var S=1-k;d.attr("d","M"+(u+k*i.px1[0])+","+(c+k*i.px1[1])+P(i.px1,i.px0,!1,k)+"l"+S*i.px0[0]+","+S*i.px0[1]+M+"Z")}else d.attr("d","M"+u+","+c+"l"+i.px0[0]+","+i.px0[1]+M+"Z")}z(t,i,v);var E=g.castOption(y.textposition,i.pts),C=h.selectAll("g.slicetext").data(i.text&&"none"!==E?[0]:[]);C.enter().append("g").classed("slicetext",!0),C.exit().remove(),C.each((function(){var r=l.ensureSingle(n.select(this),"text","",(function(t){t.attr("data-notex",1)})),h=l.ensureUniformFontSize(t,"outside"===E?function(t,e,r){return{color:g.castOption(t.outsidetextfont.color,e.pts)||g.castOption(t.textfont.color,e.pts)||r.color,family:g.castOption(t.outsidetextfont.family,e.pts)||g.castOption(t.textfont.family,e.pts)||r.family,size:g.castOption(t.outsidetextfont.size,e.pts)||g.castOption(t.textfont.size,e.pts)||r.size}}(y,i,a.font):b(y,i,a.font));r.text(i.text).attr({class:"slicetext",transform:"","text-anchor":"middle"}).call(s.font,h).call(f.convertToTspans,t);var d,m=s.bBox(r.node());if("outside"===E)d=L(m,i);else if(d=w(m,i,v),"auto"===E&&d.scale<1){var x=l.ensureUniformFontSize(t,y.outsidetextfont);r.call(s.font,x),d=L(m=s.bBox(r.node()),i)}var _=d.textPosAngle,k=void 0===_?i.pxmid:D(v.r,_);if(d.targetX=u+k[0]*d.rCenter+(d.x||0),d.targetY=c+k[1]*d.rCenter+(d.y||0),R(d,m),d.outside){var A=d.targetY;i.yLabelMin=A-m.height/2,i.yLabelMid=A,i.yLabelMax=A+m.height/2,i.labelExtraX=0,i.labelExtraY=0,T=!0}d.fontSize=h.size,p(y.type,d,a),e[o].transform=d,l.setTransormAndDisplay(r,d)}))}function P(t,e,r,n){var a=n*(e[0]-t[0]),o=n*(e[1]-t[1]);return"a"+n*v.r+","+n*v.r+" 0 "+i.largeArc+(r?" 1 ":" 0 ")+a+","+o}}));var k=n.select(this).selectAll("g.titletext").data(y.title.text?[0]:[]);if(k.enter().append("g").classed("titletext",!0),k.exit().remove(),k.each((function(){var e,r=l.ensureSingle(n.select(this),"text","",(function(t){t.attr("data-notex",1)})),i=y.title.text;y._meta&&(i=l.templateString(i,y._meta)),r.text(i).attr({class:"titletext",transform:"","text-anchor":"middle"}).call(s.font,y.title.font).call(f.convertToTspans,t),e="middle center"===y.title.position?function(t){var e=Math.sqrt(t.titleBox.width*t.titleBox.width+t.titleBox.height*t.titleBox.height);return{x:t.cx,y:t.cy,scale:t.trace.hole*t.r*2/e,tx:0,ty:-t.titleBox.height/2+t.trace.title.font.size}}(v):C(v,h),r.attr("transform",c(e.x,e.y)+u(Math.min(1,e.scale))+c(e.tx,e.ty))})),T&&function(t,e){var r,n,i,a,o,s,u,c,f,h,p,d,v;function y(t,e){return t.pxmid[1]-e.pxmid[1]}function m(t,e){return e.pxmid[1]-t.pxmid[1]}function x(t,r){r||(r={});var i,c,f,p,d=r.labelExtraY+(n?r.yLabelMax:r.yLabelMin),v=n?t.yLabelMin:t.yLabelMax,y=n?t.yLabelMax:t.yLabelMin,m=t.cyFinal+o(t.px0[1],t.px1[1]),x=d-v;if(x*u>0&&(t.labelExtraY=x),l.isArrayOrTypedArray(e.pull))for(c=0;c=(g.castOption(e.pull,f.pts)||0)||((t.pxmid[1]-f.pxmid[1])*u>0?(x=f.cyFinal+o(f.px0[1],f.px1[1])-v-t.labelExtraY)*u>0&&(t.labelExtraY+=x):(y+t.labelExtraY-m)*u>0&&(i=3*s*Math.abs(c-h.indexOf(t)),(p=f.cxFinal+a(f.px0[0],f.px1[0])+i-(t.cxFinal+t.pxmid[0])-t.labelExtraX)*s>0&&(t.labelExtraX+=p)))}for(n=0;n<2;n++)for(i=n?y:m,o=n?Math.max:Math.min,u=n?1:-1,r=0;r<2;r++){for(a=r?Math.max:Math.min,s=r?1:-1,(c=t[n][r]).sort(i),f=t[1-n][r],h=f.concat(c),d=[],p=0;pMath.abs(f)?s+="l"+f*t.pxmid[0]/t.pxmid[1]+","+f+"H"+(a+t.labelExtraX+u):s+="l"+t.labelExtraX+","+c+"v"+(f-c)+"h"+u}else s+="V"+(t.yLabelMid+t.labelExtraY)+"h"+u;l.ensureSingle(r,"path","textline").call(o.stroke,e.outsidetextfont.color).attr({"stroke-width":Math.min(2,e.outsidetextfont.size/8),d:s,fill:"none"})}else r.select("path.textline").remove()}))}(m,y),T&&y.automargin){var A=s.bBox(d.node()),M=y.domain,S=h.w*(M.x[1]-M.x[0]),E=h.h*(M.y[1]-M.y[0]),P=(.5*S-v.r)/h.w,O=(.5*E-v.r)/h.h;i.autoMargin(t,"pie."+y.uid+".automargin",{xl:M.x[0]-P,xr:M.x[1]+P,yb:M.y[0]-O,yt:M.y[1]+O,l:Math.max(v.cx-v.r-A.left,0),r:Math.max(A.right-(v.cx+v.r),0),b:Math.max(A.bottom-(v.cy+v.r),0),t:Math.max(v.cy-v.r-A.top,0),pad:5})}}))}));setTimeout((function(){v.selectAll("tspan").each((function(){var t=n.select(this);t.attr("dy")&&t.attr("dy",t.attr("dy"))}))}),0)},formatSliceLabel:z,transformInsideText:w,determineInsideTextFont:b,positionTitleOutside:C,prerenderTitles:_,layoutAreas:I,attachFxHandlers:x,computeTransform:R}},22152:function(t,e,r){"use strict";var n=r(33428),i=r(10528),a=r(82744).resizeText;t.exports=function(t){var e=t._fullLayout._pielayer.selectAll(".trace");a(t,e,"pie"),e.each((function(e){var r=e[0].trace,a=n.select(this);a.style({opacity:r.opacity}),a.selectAll("path.surface").each((function(e){n.select(this).call(i,e,r,t)}))}))}},10528:function(t,e,r){"use strict";var n=r(76308),i=r(69656).castOption,a=r(21552);t.exports=function(t,e,r,o){var s=r.marker.line,l=i(s.color,e.pts)||n.defaultLine,u=i(s.width,e.pts)||0;t.call(a,e,r,o).style("stroke-width",u).call(n.stroke,l)}},35484:function(t,e,r){"use strict";var n=r(52904);t.exports={x:n.x,y:n.y,xy:{valType:"data_array",editType:"calc"},indices:{valType:"data_array",editType:"calc"},xbounds:{valType:"data_array",editType:"calc"},ybounds:{valType:"data_array",editType:"calc"},text:n.text,marker:{color:{valType:"color",arrayOk:!1,editType:"calc"},opacity:{valType:"number",min:0,max:1,dflt:1,arrayOk:!1,editType:"calc"},blend:{valType:"boolean",dflt:null,editType:"calc"},sizemin:{valType:"number",min:.1,max:2,dflt:.5,editType:"calc"},sizemax:{valType:"number",min:.1,dflt:20,editType:"calc"},border:{color:{valType:"color",arrayOk:!1,editType:"calc"},arearatio:{valType:"number",min:0,max:1,dflt:0,editType:"calc"},editType:"calc"},editType:"calc"},transforms:void 0}},11072:function(t,e,r){"use strict";var n=r(67792).gl_pointcloud2d,i=r(3400).isArrayOrTypedArray,a=r(43080),o=r(19280).findExtremes,s=r(44928);function l(t,e){this.scene=t,this.uid=e,this.type="pointcloud",this.pickXData=[],this.pickYData=[],this.xData=[],this.yData=[],this.textLabels=[],this.color="rgb(0, 0, 0)",this.name="",this.hoverinfo="all",this.idToIndex=new Int32Array(0),this.bounds=[0,0,0,0],this.pointcloudOptions={positions:new Float32Array(0),idToIndex:this.idToIndex,sizemin:.5,sizemax:12,color:[0,0,0,1],areaRatio:1,borderColor:[0,0,0,1]},this.pointcloud=n(t.glplot,this.pointcloudOptions),this.pointcloud._trace=this}var u=l.prototype;u.handlePick=function(t){var e=this.idToIndex[t.pointId];return{trace:this,dataCoord:t.dataCoord,traceCoord:this.pickXYData?[this.pickXYData[2*e],this.pickXYData[2*e+1]]:[this.pickXData[e],this.pickYData[e]],textLabel:i(this.textLabels)?this.textLabels[e]:this.textLabels,color:this.color,name:this.name,pointIndex:e,hoverinfo:this.hoverinfo}},u.update=function(t){this.index=t.index,this.textLabels=t.text,this.name=t.name,this.hoverinfo=t.hoverinfo,this.bounds=[1/0,1/0,-1/0,-1/0],this.updateFast(t),this.color=s(t,{})},u.updateFast=function(t){var e,r,n,i,s,l,u=this.xData=this.pickXData=t.x,c=this.yData=this.pickYData=t.y,f=this.pickXYData=t.xy,h=t.xbounds&&t.ybounds,p=t.indices,d=this.bounds;if(f){if(n=f,e=f.length>>>1,h)d[0]=t.xbounds[0],d[2]=t.xbounds[1],d[1]=t.ybounds[0],d[3]=t.ybounds[1];else for(l=0;ld[2]&&(d[2]=i),sd[3]&&(d[3]=s);if(p)r=p;else for(r=new Int32Array(e),l=0;ld[2]&&(d[2]=i),sd[3]&&(d[3]=s);this.idToIndex=r,this.pointcloudOptions.idToIndex=r,this.pointcloudOptions.positions=n;var 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s(t,e,r,n){this.type="scattermapbox",this.subplot=t,this.uid=e,this.clusterEnabled=r,this.isHidden=n,this.sourceIds={fill:"source-"+e+"-fill",line:"source-"+e+"-line",circle:"source-"+e+"-circle",symbol:"source-"+e+"-symbol",cluster:"source-"+e+"-circle",clusterCount:"source-"+e+"-circle"},this.layerIds={fill:a+e+"-fill",line:a+e+"-line",circle:a+e+"-circle",symbol:a+e+"-symbol",cluster:a+e+"-cluster",clusterCount:a+e+"-cluster-count"},this.below=null}var l=s.prototype;l.addSource=function(t,e,r){var i={type:"geojson",data:e.geojson};r&&r.enabled&&n.extendFlat(i,{cluster:!0,clusterMaxZoom:r.maxzoom});var a=this.subplot.map.getSource(this.sourceIds[t]);a?a.setData(e.geojson):this.subplot.map.addSource(this.sourceIds[t],i)},l.setSourceData=function(t,e){this.subplot.map.getSource(this.sourceIds[t]).setData(e.geojson)},l.addLayer=function(t,e,r){var n={type:e.type,id:this.layerIds[t],source:this.sourceIds[t],layout:e.layout,paint:e.paint};e.filter&&(n.filter=e.filter);for(var i,a=this.layerIds[t],o=this.subplot.getMapLayers(),s=0;s=0;r--){var i=e[r];n.removeLayer(c.layerIds[i])}t||n.removeSource(c.sourceIds.circle)}(t):function(t){for(var e=o.nonCluster,r=e.length-1;r>=0;r--){var i=e[r];n.removeLayer(c.layerIds[i]),t||n.removeSource(c.sourceIds[i])}}(t)}function h(t){l?function(t){t||c.addSource("circle",a.circle,e.cluster);for(var r=o.cluster,n=0;n=0;r--){var n=e[r];t.removeLayer(this.layerIds[n]),t.removeSource(this.sourceIds[n])}},t.exports=function(t,e){var r,n,a,l=e[0].trace,u=l.cluster&&l.cluster.enabled,c=!0!==l.visible,f=new s(t,l.uid,u,c),h=i(t.gd,e),p=f.below=t.belowLookup["trace-"+l.uid];if(u)for(f.addSource("circle",h.circle,l.cluster),r=0;r")}}t.exports={hoverPoints:function(t,e,r,a){var o=n(t,e,r,a);if(o&&!1!==o[0].index){var s=o[0];if(void 0===s.index)return o;var l=t.subplot,u=s.cd[s.index],c=s.trace;if(l.isPtInside(u))return s.xLabelVal=void 0,s.yLabelVal=void 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n=r(47128);t.exports=function(t,e){e.surfacecolor?n(t,e,{vals:e.surfacecolor,containerStr:"",cLetter:"c"}):n(t,e,{vals:e.z,containerStr:"",cLetter:"c"})}},79164:function(t,e,r){"use strict";var n=r(67792).gl_surface3d,i=r(67792).ndarray,a=r(67792).ndarray_linear_interpolate.d2,o=r(70448),s=r(11240),l=r(3400).isArrayOrTypedArray,u=r(33040).parseColorScale,c=r(43080),f=r(8932).extractOpts;function h(t,e,r){this.scene=t,this.uid=r,this.surface=e,this.data=null,this.showContour=[!1,!1,!1],this.contourStart=[null,null,null],this.contourEnd=[null,null,null],this.contourSize=[0,0,0],this.minValues=[1/0,1/0,1/0],this.maxValues=[-1/0,-1/0,-1/0],this.dataScaleX=1,this.dataScaleY=1,this.refineData=!0,this.objectOffset=[0,0,0]}var p=h.prototype;p.getXat=function(t,e,r,n){var i=l(this.data.x)?l(this.data.x[0])?this.data.x[e][t]:this.data.x[t]:t;return void 0===r?i:n.d2l(i,0,r)},p.getYat=function(t,e,r,n){var i=l(this.data.y)?l(this.data.y[0])?this.data.y[e][t]:this.data.y[e]:e;return void 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r=c(e.cells.values),o=function(t){return t.slice(e.header.values.length,t.length)},v=c(e.header.values);v.length&&!v[0].length&&(v[0]=[""],v=c(v));var g=v.concat(o(r).map((function(){return f((v[0]||[""]).length)}))),y=e.domain,m=Math.floor(t._fullLayout._size.w*(y.x[1]-y.x[0])),x=Math.floor(t._fullLayout._size.h*(y.y[1]-y.y[0])),b=e.header.values.length?g[0].map((function(){return e.header.height})):[n.emptyHeaderHeight],_=r.length?r[0].map((function(){return e.cells.height})):[],w=b.reduce(u,0),T=d(_,x-w+n.uplift),k=p(d(b,w),[]),A=p(T,k),M={},S=e._fullInput.columnorder;s(S)&&(S=Array.from(S)),S=S.concat(o(r.map((function(t,e){return e}))));var E=g.map((function(t,r){var n=s(e.columnwidth)?e.columnwidth[Math.min(r,e.columnwidth.length-1)]:e.columnwidth;return a(n)?Number(n):1})),L=E.reduce(u,0);E=E.map((function(t){return t/L*m}));var C=Math.max(l(e.header.line.width),l(e.cells.line.width)),P={key:e.uid+t._context.staticPlot,translateX:y.x[0]*t._fullLayout._size.w,translateY:t._fullLayout._size.h*(1-y.y[1]),size:t._fullLayout._size,width:m,maxLineWidth:C,height:x,columnOrder:S,groupHeight:x,rowBlocks:A,headerRowBlocks:k,scrollY:0,cells:i({},e.cells,{values:r}),headerCells:i({},e.header,{values:g}),gdColumns:g.map((function(t){return t[0]})),gdColumnsOriginalOrder:g.map((function(t){return t[0]})),prevPages:[0,0],scrollbarState:{scrollbarScrollInProgress:!1},columns:g.map((function(t,e){var r=M[t];return M[t]=(r||0)+1,{key:t+"__"+M[t],label:t,specIndex:e,xIndex:S[e],xScale:h,x:void 0,calcdata:void 0,columnWidth:E[e]}}))};return P.columns.forEach((function(t){t.calcdata=P,t.x=h(t)})),P}},53056:function(t,e,r){"use strict";var n=r(92880).extendFlat;e.splitToPanels=function(t){var e=[0,0],r=n({},t,{key:"header",type:"header",page:0,prevPages:e,currentRepaint:[null,null],dragHandle:!0,values:t.calcdata.headerCells.values[t.specIndex],rowBlocks:t.calcdata.headerRowBlocks,calcdata:n({},t.calcdata,{cells:t.calcdata.headerCells})});return[n({},t,{key:"cells1",type:"cells",page:0,prevPages:e,currentRepaint:[null,null],dragHandle:!1,values:t.calcdata.cells.values[t.specIndex],rowBlocks:t.calcdata.rowBlocks}),n({},t,{key:"cells2",type:"cells",page:1,prevPages:e,currentRepaint:[null,null],dragHandle:!1,values:t.calcdata.cells.values[t.specIndex],rowBlocks:t.calcdata.rowBlocks}),r]},e.splitToCells=function(t){var e=function(t){var e=t.rowBlocks[t.page],r=e?e.rows[0].rowIndex:0;return[r,e?r+e.rows.length:0]}(t);return(t.values||[]).slice(e[0],e[1]).map((function(r,n){return{keyWithinBlock:n+("string"==typeof r&&r.match(/[<$&> 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f,h,p=c?"":k(t.calcdata.cells.prefix,e,r)||"",d=c?"":k(t.calcdata.cells.suffix,e,r)||"",v=c?null:k(t.calcdata.cells.format,e,r)||null,g=p+(v?o(v)(t.value):t.value)+d;if(t.wrappingNeeded=!t.wrapped&&!l&&!c&&(f=T(g)),t.cellHeightMayIncrease=s||c||t.mayHaveMarkup||(void 0===f?T(g):f),t.needsConvertToTspans=t.mayHaveMarkup||t.wrappingNeeded||t.latex,t.wrappingNeeded){var y=(" "===n.wrapSplitCharacter?g.replace(/i&&n.push(a),i+=l}return n}(i,l,s);1===u.length&&(u[0]===i.length-1?u.unshift(u[0]-1):u.push(u[0]+1)),u[0]%2&&u.reverse(),e.each((function(t,e){t.page=u[e],t.scrollY=l})),e.attr("transform",(function(t){var e=R(t.rowBlocks,t.page)-t.scrollY;return f(0,e)})),t&&(P(t,r,e,u,n.prevPages,n,0),P(t,r,e,u,n.prevPages,n,1),b(r,t))}}function C(t,e,r,a){return function(o){var s=o.calcdata?o.calcdata:o,l=e.filter((function(t){return s.key===t.key})),u=r||s.scrollbarState.dragMultiplier,c=s.scrollY;s.scrollY=void 0===a?s.scrollY+u*i.event.dy:a;var 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t&&t>=0);var e=0|Math.ceil(t/26),r=t%26;this._expand(e),r>0&&e--;for(var i=0;i0&&(this.words[i]=~this.words[i]&67108863>>26-r),this.strip()},a.prototype.notn=function(t){return this.clone().inotn(t)},a.prototype.setn=function(t,e){n("number"==typeof t&&t>=0);var r=t/26|0,i=t%26;return this._expand(r+1),this.words[r]=e?this.words[r]|1<t.length?(r=this,n=t):(r=t,n=this);for(var i=0,a=0;a>>26;for(;0!==i&&a>>26;if(this.length=r.length,0!==i)this.words[this.length]=i,this.length++;else if(r!==this)for(;at.length?this.clone().iadd(t):t.clone().iadd(this)},a.prototype.isub=function(t){if(0!==t.negative){t.negative=0;var e=this.iadd(t);return t.negative=1,e._normSign()}if(0!==this.negative)return this.negative=0,this.iadd(t),this.negative=1,this._normSign();var r,n,i=this.cmp(t);if(0===i)return this.negative=0,this.length=1,this.words[0]=0,this;i>0?(r=this,n=t):(r=t,n=this);for(var 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yt=(u+(n=n+Math.imul(f,H)|0)|0)+((8191&(i=(i=i+Math.imul(f,G)|0)+Math.imul(h,H)|0))<<13)|0;u=((a=a+Math.imul(h,G)|0)+(i>>>13)|0)+(yt>>>26)|0,yt&=67108863,n=Math.imul(y,U),i=(i=Math.imul(y,V))+Math.imul(m,U)|0,a=Math.imul(m,V),n=n+Math.imul(d,H)|0,i=(i=i+Math.imul(d,G)|0)+Math.imul(v,H)|0,a=a+Math.imul(v,G)|0;var mt=(u+(n=n+Math.imul(f,Y)|0)|0)+((8191&(i=(i=i+Math.imul(f,X)|0)+Math.imul(h,Y)|0))<<13)|0;u=((a=a+Math.imul(h,X)|0)+(i>>>13)|0)+(mt>>>26)|0,mt&=67108863,n=Math.imul(b,U),i=(i=Math.imul(b,V))+Math.imul(_,U)|0,a=Math.imul(_,V),n=n+Math.imul(y,H)|0,i=(i=i+Math.imul(y,G)|0)+Math.imul(m,H)|0,a=a+Math.imul(m,G)|0,n=n+Math.imul(d,Y)|0,i=(i=i+Math.imul(d,X)|0)+Math.imul(v,Y)|0,a=a+Math.imul(v,X)|0;var xt=(u+(n=n+Math.imul(f,K)|0)|0)+((8191&(i=(i=i+Math.imul(f,J)|0)+Math.imul(h,K)|0))<<13)|0;u=((a=a+Math.imul(h,J)|0)+(i>>>13)|0)+(xt>>>26)|0,xt&=67108863,n=Math.imul(T,U),i=(i=Math.imul(T,V))+Math.imul(k,U)|0,a=Math.imul(k,V),n=n+Math.imul(b,H)|0,i=(i=i+Math.imul(b,G)|0)+Math.imul(_,H)|0,a=a+Math.imul(_,G)|0,n=n+Math.imul(y,Y)|0,i=(i=i+Math.imul(y,X)|0)+Math.imul(m,Y)|0,a=a+Math.imul(m,X)|0,n=n+Math.imul(d,K)|0,i=(i=i+Math.imul(d,J)|0)+Math.imul(v,K)|0,a=a+Math.imul(v,J)|0;var bt=(u+(n=n+Math.imul(f,Q)|0)|0)+((8191&(i=(i=i+Math.imul(f,tt)|0)+Math.imul(h,Q)|0))<<13)|0;u=((a=a+Math.imul(h,tt)|0)+(i>>>13)|0)+(bt>>>26)|0,bt&=67108863,n=Math.imul(M,U),i=(i=Math.imul(M,V))+Math.imul(S,U)|0,a=Math.imul(S,V),n=n+Math.imul(T,H)|0,i=(i=i+Math.imul(T,G)|0)+Math.imul(k,H)|0,a=a+Math.imul(k,G)|0,n=n+Math.imul(b,Y)|0,i=(i=i+Math.imul(b,X)|0)+Math.imul(_,Y)|0,a=a+Math.imul(_,X)|0,n=n+Math.imul(y,K)|0,i=(i=i+Math.imul(y,J)|0)+Math.imul(m,K)|0,a=a+Math.imul(m,J)|0,n=n+Math.imul(d,Q)|0,i=(i=i+Math.imul(d,tt)|0)+Math.imul(v,Q)|0,a=a+Math.imul(v,tt)|0;var _t=(u+(n=n+Math.imul(f,rt)|0)|0)+((8191&(i=(i=i+Math.imul(f,nt)|0)+Math.imul(h,rt)|0))<<13)|0;u=((a=a+Math.imul(h,nt)|0)+(i>>>13)|0)+(_t>>>26)|0,_t&=67108863,n=Math.imul(L,U),i=(i=Math.imul(L,V))+Math.imul(C,U)|0,a=Math.imul(C,V),n=n+Math.imul(M,H)|0,i=(i=i+Math.imul(M,G)|0)+Math.imul(S,H)|0,a=a+Math.imul(S,G)|0,n=n+Math.imul(T,Y)|0,i=(i=i+Math.imul(T,X)|0)+Math.imul(k,Y)|0,a=a+Math.imul(k,X)|0,n=n+Math.imul(b,K)|0,i=(i=i+Math.imul(b,J)|0)+Math.imul(_,K)|0,a=a+Math.imul(_,J)|0,n=n+Math.imul(y,Q)|0,i=(i=i+Math.imul(y,tt)|0)+Math.imul(m,Q)|0,a=a+Math.imul(m,tt)|0,n=n+Math.imul(d,rt)|0,i=(i=i+Math.imul(d,nt)|0)+Math.imul(v,rt)|0,a=a+Math.imul(v,nt)|0;var wt=(u+(n=n+Math.imul(f,at)|0)|0)+((8191&(i=(i=i+Math.imul(f,ot)|0)+Math.imul(h,at)|0))<<13)|0;u=((a=a+Math.imul(h,ot)|0)+(i>>>13)|0)+(wt>>>26)|0,wt&=67108863,n=Math.imul(O,U),i=(i=Math.imul(O,V))+Math.imul(I,U)|0,a=Math.imul(I,V),n=n+Math.imul(L,H)|0,i=(i=i+Math.imul(L,G)|0)+Math.imul(C,H)|0,a=a+Math.imul(C,G)|0,n=n+Math.imul(M,Y)|0,i=(i=i+Math.imul(M,X)|0)+Math.imul(S,Y)|0,a=a+Math.imul(S,X)|0,n=n+Math.imul(T,K)|0,i=(i=i+Math.imul(T,J)|0)+Math.imul(k,K)|0,a=a+Math.imul(k,J)|0,n=n+Math.imul(b,Q)|0,i=(i=i+Math.imul(b,tt)|0)+Math.imul(_,Q)|0,a=a+Math.imul(_,tt)|0,n=n+Math.imul(y,rt)|0,i=(i=i+Math.imul(y,nt)|0)+Math.imul(m,rt)|0,a=a+Math.imul(m,nt)|0,n=n+Math.imul(d,at)|0,i=(i=i+Math.imul(d,ot)|0)+Math.imul(v,at)|0,a=a+Math.imul(v,ot)|0;var Tt=(u+(n=n+Math.imul(f,lt)|0)|0)+((8191&(i=(i=i+Math.imul(f,ut)|0)+Math.imul(h,lt)|0))<<13)|0;u=((a=a+Math.imul(h,ut)|0)+(i>>>13)|0)+(Tt>>>26)|0,Tt&=67108863,n=Math.imul(z,U),i=(i=Math.imul(z,V))+Math.imul(R,U)|0,a=Math.imul(R,V),n=n+Math.imul(O,H)|0,i=(i=i+Math.imul(O,G)|0)+Math.imul(I,H)|0,a=a+Math.imul(I,G)|0,n=n+Math.imul(L,Y)|0,i=(i=i+Math.imul(L,X)|0)+Math.imul(C,Y)|0,a=a+Math.imul(C,X)|0,n=n+Math.imul(M,K)|0,i=(i=i+Math.imul(M,J)|0)+Math.imul(S,K)|0,a=a+Math.imul(S,J)|0,n=n+Math.imul(T,Q)|0,i=(i=i+Math.imul(T,tt)|0)+Math.imul(k,Q)|0,a=a+Math.imul(k,tt)|0,n=n+Math.imul(b,rt)|0,i=(i=i+Math.imul(b,nt)|0)+Math.imul(_,rt)|0,a=a+Math.imul(_,nt)|0,n=n+Math.imul(y,at)|0,i=(i=i+Math.imul(y,ot)|0)+Math.imul(m,at)|0,a=a+Math.imul(m,ot)|0,n=n+Math.imul(d,lt)|0,i=(i=i+Math.imul(d,ut)|0)+Math.imul(v,lt)|0,a=a+Math.imul(v,ut)|0;var kt=(u+(n=n+Math.imul(f,ft)|0)|0)+((8191&(i=(i=i+Math.imul(f,ht)|0)+Math.imul(h,ft)|0))<<13)|0;u=((a=a+Math.imul(h,ht)|0)+(i>>>13)|0)+(kt>>>26)|0,kt&=67108863,n=Math.imul(B,U),i=(i=Math.imul(B,V))+Math.imul(N,U)|0,a=Math.imul(N,V),n=n+Math.imul(z,H)|0,i=(i=i+Math.imul(z,G)|0)+Math.imul(R,H)|0,a=a+Math.imul(R,G)|0,n=n+Math.imul(O,Y)|0,i=(i=i+Math.imul(O,X)|0)+Math.imul(I,Y)|0,a=a+Math.imul(I,X)|0,n=n+Math.imul(L,K)|0,i=(i=i+Math.imul(L,J)|0)+Math.imul(C,K)|0,a=a+Math.imul(C,J)|0,n=n+Math.imul(M,Q)|0,i=(i=i+Math.imul(M,tt)|0)+Math.imul(S,Q)|0,a=a+Math.imul(S,tt)|0,n=n+Math.imul(T,rt)|0,i=(i=i+Math.imul(T,nt)|0)+Math.imul(k,rt)|0,a=a+Math.imul(k,nt)|0,n=n+Math.imul(b,at)|0,i=(i=i+Math.imul(b,ot)|0)+Math.imul(_,at)|0,a=a+Math.imul(_,ot)|0,n=n+Math.imul(y,lt)|0,i=(i=i+Math.imul(y,ut)|0)+Math.imul(m,lt)|0,a=a+Math.imul(m,ut)|0,n=n+Math.imul(d,ft)|0,i=(i=i+Math.imul(d,ht)|0)+Math.imul(v,ft)|0,a=a+Math.imul(v,ht)|0;var At=(u+(n=n+Math.imul(f,dt)|0)|0)+((8191&(i=(i=i+Math.imul(f,vt)|0)+Math.imul(h,dt)|0))<<13)|0;u=((a=a+Math.imul(h,vt)|0)+(i>>>13)|0)+(At>>>26)|0,At&=67108863,n=Math.imul(B,H),i=(i=Math.imul(B,G))+Math.imul(N,H)|0,a=Math.imul(N,G),n=n+Math.imul(z,Y)|0,i=(i=i+Math.imul(z,X)|0)+Math.imul(R,Y)|0,a=a+Math.imul(R,X)|0,n=n+Math.imul(O,K)|0,i=(i=i+Math.imul(O,J)|0)+Math.imul(I,K)|0,a=a+Math.imul(I,J)|0,n=n+Math.imul(L,Q)|0,i=(i=i+Math.imul(L,tt)|0)+Math.imul(C,Q)|0,a=a+Math.imul(C,tt)|0,n=n+Math.imul(M,rt)|0,i=(i=i+Math.imul(M,nt)|0)+Math.imul(S,rt)|0,a=a+Math.imul(S,nt)|0,n=n+Math.imul(T,at)|0,i=(i=i+Math.imul(T,ot)|0)+Math.imul(k,at)|0,a=a+Math.imul(k,ot)|0,n=n+Math.imul(b,lt)|0,i=(i=i+Math.imul(b,ut)|0)+Math.imul(_,lt)|0,a=a+Math.imul(_,ut)|0,n=n+Math.imul(y,ft)|0,i=(i=i+Math.imul(y,ht)|0)+Math.imul(m,ft)|0,a=a+Math.imul(m,ht)|0;var Mt=(u+(n=n+Math.imul(d,dt)|0)|0)+((8191&(i=(i=i+Math.imul(d,vt)|0)+Math.imul(v,dt)|0))<<13)|0;u=((a=a+Math.imul(v,vt)|0)+(i>>>13)|0)+(Mt>>>26)|0,Mt&=67108863,n=Math.imul(B,Y),i=(i=Math.imul(B,X))+Math.imul(N,Y)|0,a=Math.imul(N,X),n=n+Math.imul(z,K)|0,i=(i=i+Math.imul(z,J)|0)+Math.imul(R,K)|0,a=a+Math.imul(R,J)|0,n=n+Math.imul(O,Q)|0,i=(i=i+Math.imul(O,tt)|0)+Math.imul(I,Q)|0,a=a+Math.imul(I,tt)|0,n=n+Math.imul(L,rt)|0,i=(i=i+Math.imul(L,nt)|0)+Math.imul(C,rt)|0,a=a+Math.imul(C,nt)|0,n=n+Math.imul(M,at)|0,i=(i=i+Math.imul(M,ot)|0)+Math.imul(S,at)|0,a=a+Math.imul(S,ot)|0,n=n+Math.imul(T,lt)|0,i=(i=i+Math.imul(T,ut)|0)+Math.imul(k,lt)|0,a=a+Math.imul(k,ut)|0,n=n+Math.imul(b,ft)|0,i=(i=i+Math.imul(b,ht)|0)+Math.imul(_,ft)|0,a=a+Math.imul(_,ht)|0;var St=(u+(n=n+Math.imul(y,dt)|0)|0)+((8191&(i=(i=i+Math.imul(y,vt)|0)+Math.imul(m,dt)|0))<<13)|0;u=((a=a+Math.imul(m,vt)|0)+(i>>>13)|0)+(St>>>26)|0,St&=67108863,n=Math.imul(B,K),i=(i=Math.imul(B,J))+Math.imul(N,K)|0,a=Math.imul(N,J),n=n+Math.imul(z,Q)|0,i=(i=i+Math.imul(z,tt)|0)+Math.imul(R,Q)|0,a=a+Math.imul(R,tt)|0,n=n+Math.imul(O,rt)|0,i=(i=i+Math.imul(O,nt)|0)+Math.imul(I,rt)|0,a=a+Math.imul(I,nt)|0,n=n+Math.imul(L,at)|0,i=(i=i+Math.imul(L,ot)|0)+Math.imul(C,at)|0,a=a+Math.imul(C,ot)|0,n=n+Math.imul(M,lt)|0,i=(i=i+Math.imul(M,ut)|0)+Math.imul(S,lt)|0,a=a+Math.imul(S,ut)|0,n=n+Math.imul(T,ft)|0,i=(i=i+Math.imul(T,ht)|0)+Math.imul(k,ft)|0,a=a+Math.imul(k,ht)|0;var Et=(u+(n=n+Math.imul(b,dt)|0)|0)+((8191&(i=(i=i+Math.imul(b,vt)|0)+Math.imul(_,dt)|0))<<13)|0;u=((a=a+Math.imul(_,vt)|0)+(i>>>13)|0)+(Et>>>26)|0,Et&=67108863,n=Math.imul(B,Q),i=(i=Math.imul(B,tt))+Math.imul(N,Q)|0,a=Math.imul(N,tt),n=n+Math.imul(z,rt)|0,i=(i=i+Math.imul(z,nt)|0)+Math.imul(R,rt)|0,a=a+Math.imul(R,nt)|0,n=n+Math.imul(O,at)|0,i=(i=i+Math.imul(O,ot)|0)+Math.imul(I,at)|0,a=a+Math.imul(I,ot)|0,n=n+Math.imul(L,lt)|0,i=(i=i+Math.imul(L,ut)|0)+Math.imul(C,lt)|0,a=a+Math.imul(C,ut)|0,n=n+Math.imul(M,ft)|0,i=(i=i+Math.imul(M,ht)|0)+Math.imul(S,ft)|0,a=a+Math.imul(S,ht)|0;var Lt=(u+(n=n+Math.imul(T,dt)|0)|0)+((8191&(i=(i=i+Math.imul(T,vt)|0)+Math.imul(k,dt)|0))<<13)|0;u=((a=a+Math.imul(k,vt)|0)+(i>>>13)|0)+(Lt>>>26)|0,Lt&=67108863,n=Math.imul(B,rt),i=(i=Math.imul(B,nt))+Math.imul(N,rt)|0,a=Math.imul(N,nt),n=n+Math.imul(z,at)|0,i=(i=i+Math.imul(z,ot)|0)+Math.imul(R,at)|0,a=a+Math.imul(R,ot)|0,n=n+Math.imul(O,lt)|0,i=(i=i+Math.imul(O,ut)|0)+Math.imul(I,lt)|0,a=a+Math.imul(I,ut)|0,n=n+Math.imul(L,ft)|0,i=(i=i+Math.imul(L,ht)|0)+Math.imul(C,ft)|0,a=a+Math.imul(C,ht)|0;var Ct=(u+(n=n+Math.imul(M,dt)|0)|0)+((8191&(i=(i=i+Math.imul(M,vt)|0)+Math.imul(S,dt)|0))<<13)|0;u=((a=a+Math.imul(S,vt)|0)+(i>>>13)|0)+(Ct>>>26)|0,Ct&=67108863,n=Math.imul(B,at),i=(i=Math.imul(B,ot))+Math.imul(N,at)|0,a=Math.imul(N,ot),n=n+Math.imul(z,lt)|0,i=(i=i+Math.imul(z,ut)|0)+Math.imul(R,lt)|0,a=a+Math.imul(R,ut)|0,n=n+Math.imul(O,ft)|0,i=(i=i+Math.imul(O,ht)|0)+Math.imul(I,ft)|0,a=a+Math.imul(I,ht)|0;var Pt=(u+(n=n+Math.imul(L,dt)|0)|0)+((8191&(i=(i=i+Math.imul(L,vt)|0)+Math.imul(C,dt)|0))<<13)|0;u=((a=a+Math.imul(C,vt)|0)+(i>>>13)|0)+(Pt>>>26)|0,Pt&=67108863,n=Math.imul(B,lt),i=(i=Math.imul(B,ut))+Math.imul(N,lt)|0,a=Math.imul(N,ut),n=n+Math.imul(z,ft)|0,i=(i=i+Math.imul(z,ht)|0)+Math.imul(R,ft)|0,a=a+Math.imul(R,ht)|0;var Ot=(u+(n=n+Math.imul(O,dt)|0)|0)+((8191&(i=(i=i+Math.imul(O,vt)|0)+Math.imul(I,dt)|0))<<13)|0;u=((a=a+Math.imul(I,vt)|0)+(i>>>13)|0)+(Ot>>>26)|0,Ot&=67108863,n=Math.imul(B,ft),i=(i=Math.imul(B,ht))+Math.imul(N,ft)|0,a=Math.imul(N,ht);var It=(u+(n=n+Math.imul(z,dt)|0)|0)+((8191&(i=(i=i+Math.imul(z,vt)|0)+Math.imul(R,dt)|0))<<13)|0;u=((a=a+Math.imul(R,vt)|0)+(i>>>13)|0)+(It>>>26)|0,It&=67108863;var Dt=(u+(n=Math.imul(B,dt))|0)+((8191&(i=(i=Math.imul(B,vt))+Math.imul(N,dt)|0))<<13)|0;return u=((a=Math.imul(N,vt))+(i>>>13)|0)+(Dt>>>26)|0,Dt&=67108863,l[0]=gt,l[1]=yt,l[2]=mt,l[3]=xt,l[4]=bt,l[5]=_t,l[6]=wt,l[7]=Tt,l[8]=kt,l[9]=At,l[10]=Mt,l[11]=St,l[12]=Et,l[13]=Lt,l[14]=Ct,l[15]=Pt,l[16]=Ot,l[17]=It,l[18]=Dt,0!==u&&(l[19]=u,r.length++),r};function v(t,e,r){return(new g).mulp(t,e,r)}function g(t,e){this.x=t,this.y=e}Math.imul||(d=p),a.prototype.mulTo=function(t,e){var r,n=this.length+t.length;return r=10===this.length&&10===t.length?d(this,t,e):n<63?p(this,t,e):n<1024?function(t,e,r){r.negative=e.negative^t.negative,r.length=t.length+e.length;for(var n=0,i=0,a=0;a>>26)|0)>>>26,o&=67108863}r.words[a]=s,n=o,o=i}return 0!==n?r.words[a]=n:r.length--,r.strip()}(this,t,e):v(this,t,e),r},g.prototype.makeRBT=function(t){for(var e=new Array(t),r=a.prototype._countBits(t)-1,n=0;n>=1;return n},g.prototype.permute=function(t,e,r,n,i,a){for(var o=0;o>>=1)i++;return 1<>>=13,r[2*o+1]=8191&a,a>>>=13;for(o=2*e;o>=26,e+=i/67108864|0,e+=a>>>26,this.words[r]=67108863&a}return 0!==e&&(this.words[r]=e,this.length++),this},a.prototype.muln=function(t){return this.clone().imuln(t)},a.prototype.sqr=function(){return this.mul(this)},a.prototype.isqr=function(){return this.imul(this.clone())},a.prototype.pow=function(t){var e=function(t){for(var e=new Array(t.bitLength()),r=0;r>>i}return e}(t);if(0===e.length)return new a(1);for(var r=this,n=0;n=0);var e,r=t%26,i=(t-r)/26,a=67108863>>>26-r<<26-r;if(0!==r){var o=0;for(e=0;e>>26-r}o&&(this.words[e]=o,this.length++)}if(0!==i){for(e=this.length-1;e>=0;e--)this.words[e+i]=this.words[e];for(e=0;e=0),i=e?(e-e%26)/26:0;var a=t%26,o=Math.min((t-a)/26,this.length),s=67108863^67108863>>>a<o)for(this.length-=o,u=0;u=0&&(0!==c||u>=i);u--){var f=0|this.words[u];this.words[u]=c<<26-a|f>>>a,c=f&s}return l&&0!==c&&(l.words[l.length++]=c),0===this.length&&(this.words[0]=0,this.length=1),this.strip()},a.prototype.ishrn=function(t,e,r){return n(0===this.negative),this.iushrn(t,e,r)},a.prototype.shln=function(t){return this.clone().ishln(t)},a.prototype.ushln=function(t){return this.clone().iushln(t)},a.prototype.shrn=function(t){return this.clone().ishrn(t)},a.prototype.ushrn=function(t){return this.clone().iushrn(t)},a.prototype.testn=function(t){n("number"==typeof t&&t>=0);var e=t%26,r=(t-e)/26,i=1<=0);var e=t%26,r=(t-e)/26;if(n(0===this.negative,"imaskn works only with positive numbers"),this.length<=r)return this;if(0!==e&&r++,this.length=Math.min(r,this.length),0!==e){var i=67108863^67108863>>>e<=67108864;e++)this.words[e]-=67108864,e===this.length-1?this.words[e+1]=1:this.words[e+1]++;return this.length=Math.max(this.length,e+1),this},a.prototype.isubn=function(t){if(n("number"==typeof t),n(t<67108864),t<0)return this.iaddn(-t);if(0!==this.negative)return this.negative=0,this.iaddn(t),this.negative=1,this;if(this.words[0]-=t,1===this.length&&this.words[0]<0)this.words[0]=-this.words[0],this.negative=1;else for(var e=0;e>26)-(l/67108864|0),this.words[i+r]=67108863&a}for(;i>26,this.words[i+r]=67108863&a;if(0===s)return this.strip();for(n(-1===s),s=0,i=0;i>26,this.words[i]=67108863&a;return this.negative=1,this.strip()},a.prototype._wordDiv=function(t,e){var r=(this.length,t.length),n=this.clone(),i=t,o=0|i.words[i.length-1];0!=(r=26-this._countBits(o))&&(i=i.ushln(r),n.iushln(r),o=0|i.words[i.length-1]);var s,l=n.length-i.length;if("mod"!==e){(s=new a(null)).length=l+1,s.words=new Array(s.length);for(var u=0;u=0;f--){var h=67108864*(0|n.words[i.length+f])+(0|n.words[i.length+f-1]);for(h=Math.min(h/o|0,67108863),n._ishlnsubmul(i,h,f);0!==n.negative;)h--,n.negative=0,n._ishlnsubmul(i,1,f),n.isZero()||(n.negative^=1);s&&(s.words[f]=h)}return s&&s.strip(),n.strip(),"div"!==e&&0!==r&&n.iushrn(r),{div:s||null,mod:n}},a.prototype.divmod=function(t,e,r){return n(!t.isZero()),this.isZero()?{div:new a(0),mod:new a(0)}:0!==this.negative&&0===t.negative?(s=this.neg().divmod(t,e),"mod"!==e&&(i=s.div.neg()),"div"!==e&&(o=s.mod.neg(),r&&0!==o.negative&&o.iadd(t)),{div:i,mod:o}):0===this.negative&&0!==t.negative?(s=this.divmod(t.neg(),e),"mod"!==e&&(i=s.div.neg()),{div:i,mod:s.mod}):0!=(this.negative&t.negative)?(s=this.neg().divmod(t.neg(),e),"div"!==e&&(o=s.mod.neg(),r&&0!==o.negative&&o.isub(t)),{div:s.div,mod:o}):t.length>this.length||this.cmp(t)<0?{div:new a(0),mod:this}:1===t.length?"div"===e?{div:this.divn(t.words[0]),mod:null}:"mod"===e?{div:null,mod:new a(this.modn(t.words[0]))}:{div:this.divn(t.words[0]),mod:new a(this.modn(t.words[0]))}:this._wordDiv(t,e);var i,o,s},a.prototype.div=function(t){return this.divmod(t,"div",!1).div},a.prototype.mod=function(t){return this.divmod(t,"mod",!1).mod},a.prototype.umod=function(t){return this.divmod(t,"mod",!0).mod},a.prototype.divRound=function(t){var e=this.divmod(t);if(e.mod.isZero())return e.div;var r=0!==e.div.negative?e.mod.isub(t):e.mod,n=t.ushrn(1),i=t.andln(1),a=r.cmp(n);return a<0||1===i&&0===a?e.div:0!==e.div.negative?e.div.isubn(1):e.div.iaddn(1)},a.prototype.modn=function(t){n(t<=67108863);for(var e=(1<<26)%t,r=0,i=this.length-1;i>=0;i--)r=(e*r+(0|this.words[i]))%t;return r},a.prototype.idivn=function(t){n(t<=67108863);for(var e=0,r=this.length-1;r>=0;r--){var i=(0|this.words[r])+67108864*e;this.words[r]=i/t|0,e=i%t}return this.strip()},a.prototype.divn=function(t){return this.clone().idivn(t)},a.prototype.egcd=function(t){n(0===t.negative),n(!t.isZero());var e=this,r=t.clone();e=0!==e.negative?e.umod(t):e.clone();for(var i=new a(1),o=new a(0),s=new a(0),l=new a(1),u=0;e.isEven()&&r.isEven();)e.iushrn(1),r.iushrn(1),++u;for(var c=r.clone(),f=e.clone();!e.isZero();){for(var h=0,p=1;0==(e.words[0]&p)&&h<26;++h,p<<=1);if(h>0)for(e.iushrn(h);h-- >0;)(i.isOdd()||o.isOdd())&&(i.iadd(c),o.isub(f)),i.iushrn(1),o.iushrn(1);for(var d=0,v=1;0==(r.words[0]&v)&&d<26;++d,v<<=1);if(d>0)for(r.iushrn(d);d-- >0;)(s.isOdd()||l.isOdd())&&(s.iadd(c),l.isub(f)),s.iushrn(1),l.iushrn(1);e.cmp(r)>=0?(e.isub(r),i.isub(s),o.isub(l)):(r.isub(e),s.isub(i),l.isub(o))}return{a:s,b:l,gcd:r.iushln(u)}},a.prototype._invmp=function(t){n(0===t.negative),n(!t.isZero());var e=this,r=t.clone();e=0!==e.negative?e.umod(t):e.clone();for(var i,o=new a(1),s=new a(0),l=r.clone();e.cmpn(1)>0&&r.cmpn(1)>0;){for(var u=0,c=1;0==(e.words[0]&c)&&u<26;++u,c<<=1);if(u>0)for(e.iushrn(u);u-- >0;)o.isOdd()&&o.iadd(l),o.iushrn(1);for(var f=0,h=1;0==(r.words[0]&h)&&f<26;++f,h<<=1);if(f>0)for(r.iushrn(f);f-- >0;)s.isOdd()&&s.iadd(l),s.iushrn(1);e.cmp(r)>=0?(e.isub(r),o.isub(s)):(r.isub(e),s.isub(o))}return(i=0===e.cmpn(1)?o:s).cmpn(0)<0&&i.iadd(t),i},a.prototype.gcd=function(t){if(this.isZero())return t.abs();if(t.isZero())return this.abs();var e=this.clone(),r=t.clone();e.negative=0,r.negative=0;for(var n=0;e.isEven()&&r.isEven();n++)e.iushrn(1),r.iushrn(1);for(;;){for(;e.isEven();)e.iushrn(1);for(;r.isEven();)r.iushrn(1);var i=e.cmp(r);if(i<0){var a=e;e=r,r=a}else if(0===i||0===r.cmpn(1))break;e.isub(r)}return r.iushln(n)},a.prototype.invm=function(t){return this.egcd(t).a.umod(t)},a.prototype.isEven=function(){return 0==(1&this.words[0])},a.prototype.isOdd=function(){return 1==(1&this.words[0])},a.prototype.andln=function(t){return this.words[0]&t},a.prototype.bincn=function(t){n("number"==typeof t);var e=t%26,r=(t-e)/26,i=1<>>26,s&=67108863,this.words[o]=s}return 0!==a&&(this.words[o]=a,this.length++),this},a.prototype.isZero=function(){return 1===this.length&&0===this.words[0]},a.prototype.cmpn=function(t){var e,r=t<0;if(0!==this.negative&&!r)return-1;if(0===this.negative&&r)return 1;if(this.strip(),this.length>1)e=1;else{r&&(t=-t),n(t<=67108863,"Number is too big");var i=0|this.words[0];e=i===t?0:it.length)return 1;if(this.length=0;r--){var n=0|this.words[r],i=0|t.words[r];if(n!==i){ni&&(e=1);break}}return e},a.prototype.gtn=function(t){return 1===this.cmpn(t)},a.prototype.gt=function(t){return 1===this.cmp(t)},a.prototype.gten=function(t){return this.cmpn(t)>=0},a.prototype.gte=function(t){return this.cmp(t)>=0},a.prototype.ltn=function(t){return-1===this.cmpn(t)},a.prototype.lt=function(t){return-1===this.cmp(t)},a.prototype.lten=function(t){return this.cmpn(t)<=0},a.prototype.lte=function(t){return this.cmp(t)<=0},a.prototype.eqn=function(t){return 0===this.cmpn(t)},a.prototype.eq=function(t){return 0===this.cmp(t)},a.red=function(t){return new T(t)},a.prototype.toRed=function(t){return n(!this.red,"Already a number in reduction context"),n(0===this.negative,"red works only with positives"),t.convertTo(this)._forceRed(t)},a.prototype.fromRed=function(){return n(this.red,"fromRed works only with numbers in reduction context"),this.red.convertFrom(this)},a.prototype._forceRed=function(t){return this.red=t,this},a.prototype.forceRed=function(t){return n(!this.red,"Already a number in reduction context"),this._forceRed(t)},a.prototype.redAdd=function(t){return n(this.red,"redAdd works only with red numbers"),this.red.add(this,t)},a.prototype.redIAdd=function(t){return n(this.red,"redIAdd works only with red numbers"),this.red.iadd(this,t)},a.prototype.redSub=function(t){return n(this.red,"redSub works only with red numbers"),this.red.sub(this,t)},a.prototype.redISub=function(t){return n(this.red,"redISub works only with red numbers"),this.red.isub(this,t)},a.prototype.redShl=function(t){return n(this.red,"redShl works only with red numbers"),this.red.shl(this,t)},a.prototype.redMul=function(t){return n(this.red,"redMul works only with red numbers"),this.red._verify2(this,t),this.red.mul(this,t)},a.prototype.redIMul=function(t){return n(this.red,"redMul works only with red numbers"),this.red._verify2(this,t),this.red.imul(this,t)},a.prototype.redSqr=function(){return n(this.red,"redSqr works only with red numbers"),this.red._verify1(this),this.red.sqr(this)},a.prototype.redISqr=function(){return n(this.red,"redISqr works only with red numbers"),this.red._verify1(this),this.red.isqr(this)},a.prototype.redSqrt=function(){return n(this.red,"redSqrt works only with red numbers"),this.red._verify1(this),this.red.sqrt(this)},a.prototype.redInvm=function(){return n(this.red,"redInvm works only with red numbers"),this.red._verify1(this),this.red.invm(this)},a.prototype.redNeg=function(){return n(this.red,"redNeg works only with red numbers"),this.red._verify1(this),this.red.neg(this)},a.prototype.redPow=function(t){return n(this.red&&!t.red,"redPow(normalNum)"),this.red._verify1(this),this.red.pow(this,t)};var y={k256:null,p224:null,p192:null,p25519:null};function m(t,e){this.name=t,this.p=new a(e,16),this.n=this.p.bitLength(),this.k=new a(1).iushln(this.n).isub(this.p),this.tmp=this._tmp()}function x(){m.call(this,"k256","ffffffff ffffffff ffffffff ffffffff ffffffff ffffffff fffffffe fffffc2f")}function b(){m.call(this,"p224","ffffffff ffffffff ffffffff ffffffff 00000000 00000000 00000001")}function _(){m.call(this,"p192","ffffffff ffffffff ffffffff fffffffe ffffffff ffffffff")}function w(){m.call(this,"25519","7fffffffffffffff ffffffffffffffff ffffffffffffffff ffffffffffffffed")}function T(t){if("string"==typeof t){var e=a._prime(t);this.m=e.p,this.prime=e}else n(t.gtn(1),"modulus must be greater than 1"),this.m=t,this.prime=null}function k(t){T.call(this,t),this.shift=this.m.bitLength(),this.shift%26!=0&&(this.shift+=26-this.shift%26),this.r=new a(1).iushln(this.shift),this.r2=this.imod(this.r.sqr()),this.rinv=this.r._invmp(this.m),this.minv=this.rinv.mul(this.r).isubn(1).div(this.m),this.minv=this.minv.umod(this.r),this.minv=this.r.sub(this.minv)}m.prototype._tmp=function(){var t=new a(null);return t.words=new Array(Math.ceil(this.n/13)),t},m.prototype.ireduce=function(t){var 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v=l("labels");l("labelFont")&&(v=!0),o("labelEnable"),a("labelSize"),a("labelPad"),u("labelColor"),o("lineEnable"),o("lineMirror"),a("lineWidth"),u("lineColor"),o("lineTickEnable"),o("lineTickMirror"),a("lineTickLength"),a("lineTickWidth"),u("lineTickColor"),o("gridEnable"),a("gridWidth"),u("gridColor"),o("zeroEnable"),u("zeroLineColor"),a("zeroLineWidth"),o("backgroundEnable"),u("backgroundColor"),this._text?this._text&&(v||c)&&this._text.update(this.bounds,this.labels,this.labelFont,this.ticks,this.tickFont):this._text=n(this.gl,this.bounds,this.labels,this.labelFont,this.ticks,this.tickFont),this._lines&&c&&(this._lines.dispose(),this._lines=null),this._lines||(this._lines=i(this.gl,this.bounds,this.ticks))};var p=[new h,new h,new h];function d(t,e,r,n,i){for(var a=t.primalOffset,o=t.primalMinor,s=t.mirrorOffset,l=t.mirrorMinor,u=n[e],c=0;c<3;++c)if(e!==c){var f=a,h=s,p=o,d=l;u&1<0?(p[c]=-1,d[c]=0):(p[c]=0,d[c]=1)}}var v=[0,0,0],g={model:l,view:l,projection:l,_ortho:!1};f.isOpaque=function(){return!0},f.isTransparent=function(){return!1},f.drawTransparent=function(t){};var y=[0,0,0],m=[0,0,0],x=[0,0,0];f.draw=function(t){t=t||g;for(var e=this.gl,r=t.model||l,n=t.view||l,i=t.projection||l,a=this.bounds,s=t._ortho||!1,c=o(r,n,i,a,s),f=c.cubeEdges,h=c.axis,b=n[12],_=n[13],w=n[14],T=n[15],k=(s?2:1)*this.pixelRatio*(i[3]*b+i[7]*_+i[11]*w+i[15]*T)/e.drawingBufferHeight,A=0;A<3;++A)this.lastCubeProps.cubeEdges[A]=f[A],this.lastCubeProps.axis[A]=h[A];var M=p;for(A=0;A<3;++A)d(p[A],A,this.bounds,f,h);e=this.gl;var S,E,L,C=v;for(A=0;A<3;++A)this.backgroundEnable[A]?C[A]=h[A]:C[A]=0;for(this._background.draw(r,n,i,a,C,this.backgroundColor),this._lines.bind(r,n,i,this),A=0;A<3;++A){var P=[0,0,0];h[A]>0?P[A]=a[1][A]:P[A]=a[0][A];for(var O=0;O<2;++O){var I=(A+1+O)%3,D=(A+1+(1^O))%3;this.gridEnable[I]&&this._lines.drawGrid(I,D,this.bounds,P,this.gridColor[I],this.gridWidth[I]*this.pixelRatio)}for(O=0;O<2;++O)I=(A+1+O)%3,D=(A+1+(1^O))%3,this.zeroEnable[D]&&Math.min(a[0][D],a[1][D])<=0&&Math.max(a[0][D],a[1][D])>=0&&this._lines.drawZero(I,D,this.bounds,P,this.zeroLineColor[D],this.zeroLineWidth[D]*this.pixelRatio)}for(A=0;A<3;++A){this.lineEnable[A]&&this._lines.drawAxisLine(A,this.bounds,M[A].primalOffset,this.lineColor[A],this.lineWidth[A]*this.pixelRatio),this.lineMirror[A]&&this._lines.drawAxisLine(A,this.bounds,M[A].mirrorOffset,this.lineColor[A],this.lineWidth[A]*this.pixelRatio);var z=u(y,M[A].primalMinor),R=u(m,M[A].mirrorMinor),F=this.lineTickLength;for(O=0;O<3;++O){var B=k/r[5*O];z[O]*=F[O]*B,R[O]*=F[O]*B}this.lineTickEnable[A]&&this._lines.drawAxisTicks(A,M[A].primalOffset,z,this.lineTickColor[A],this.lineTickWidth[A]*this.pixelRatio),this.lineTickMirror[A]&&this._lines.drawAxisTicks(A,M[A].mirrorOffset,R,this.lineTickColor[A],this.lineTickWidth[A]*this.pixelRatio)}function N(t){(L=[0,0,0])[t]=1}function j(t,e,r){var n=(t+1)%3,i=(t+2)%3,a=e[n],o=e[i],s=r[n],l=r[i];a>0&&l>0||a>0&&l<0||a<0&&l>0||a<0&&l<0?N(n):(o>0&&s>0||o>0&&s<0||o<0&&s>0||o<0&&s<0)&&N(i)}for(this._lines.unbind(),this._text.bind(r,n,i,this.pixelRatio),A=0;A<3;++A){var U=M[A].primalMinor,V=M[A].mirrorMinor,q=u(x,M[A].primalOffset);for(O=0;O<3;++O)this.lineTickEnable[A]&&(q[O]+=k*U[O]*Math.max(this.lineTickLength[O],0)/r[5*O]);var H=[0,0,0];if(H[A]=1,this.tickEnable[A]){for(-3600===this.tickAngle[A]?(this.tickAngle[A]=0,this.tickAlign[A]="auto"):this.tickAlign[A]=-1,E=1,"auto"===(S=[this.tickAlign[A],.5,E])[0]?S[0]=0:S[0]=parseInt(""+S[0]),L=[0,0,0],j(A,U,V),O=0;O<3;++O)q[O]+=k*U[O]*this.tickPad[O]/r[5*O];this._text.drawTicks(A,this.tickSize[A],this.tickAngle[A],q,this.tickColor[A],H,L,S)}if(this.labelEnable[A]){for(E=0,L=[0,0,0],this.labels[A].length>4&&(N(A),E=1),"auto"===(S=[this.labelAlign[A],.5,E])[0]?S[0]=0:S[0]=parseInt(""+S[0]),O=0;O<3;++O)q[O]+=k*U[O]*this.labelPad[O]/r[5*O];q[A]+=.5*(a[0][A]+a[1][A]),this._text.drawLabel(A,this.labelSize[A],this.labelAngle[A],q,this.labelColor[A],[0,0,0],L,S)}}this._text.unbind()},f.dispose=function(){this._text.dispose(),this._lines.dispose(),this._background.dispose(),this._lines=null,this._text=null,this._background=null,this.gl=null}},1011:function(t,e,r){"use strict";t.exports=function(t){for(var e=[],r=[],s=0,l=0;l<3;++l)for(var u=(l+1)%3,c=(l+2)%3,f=[0,0,0],h=[0,0,0],p=-1;p<=1;p+=2){r.push(s,s+2,s+1,s+1,s+2,s+3),f[l]=p,h[l]=p;for(var d=-1;d<=1;d+=2){f[u]=d;for(var v=-1;v<=1;v+=2)f[c]=v,e.push(f[0],f[1],f[2],h[0],h[1],h[2]),s+=1}var g=u;u=c,c=g}var y=n(t,new Float32Array(e)),m=n(t,new Uint16Array(r),t.ELEMENT_ARRAY_BUFFER),x=i(t,[{buffer:y,type:t.FLOAT,size:3,offset:0,stride:24},{buffer:y,type:t.FLOAT,size:3,offset:12,stride:24}],m),b=a(t);return b.attributes.position.location=0,b.attributes.normal.location=1,new o(t,y,x,b)};var n=r(5827),i=r(2944),a=r(1943).bg;function o(t,e,r,n){this.gl=t,this.buffer=e,this.vao=r,this.shader=n}var s=o.prototype;s.draw=function(t,e,r,n,i,a){for(var o=!1,s=0;s<3;++s)o=o||i[s];if(o){var l=this.gl;l.enable(l.POLYGON_OFFSET_FILL),l.polygonOffset(1,2),this.shader.bind(),this.shader.uniforms={model:t,view:e,projection:r,bounds:n,enable:i,colors:a},this.vao.bind(),this.vao.draw(this.gl.TRIANGLES,36),this.vao.unbind(),l.disable(l.POLYGON_OFFSET_FILL)}},s.dispose=function(){this.vao.dispose(),this.buffer.dispose(),this.shader.dispose()}},2864:function(t,e,r){"use strict";t.exports=function(t,e,r,a,p){i(s,e,t),i(s,r,s);for(var m=0,x=0;x<2;++x){c[2]=a[x][2];for(var b=0;b<2;++b){c[1]=a[b][1];for(var _=0;_<2;++_)c[0]=a[_][0],h(l[m],c,s),m+=1}}var w=-1;for(x=0;x<8;++x){for(var T=l[x][3],k=0;k<3;++k)u[x][k]=l[x][k]/T;p&&(u[x][2]*=-1),T<0&&(w<0||u[x][2]E&&(w|=1<E&&(w|=1<u[x][1])&&(R=x);var F=-1;for(x=0;x<3;++x)(N=R^1<u[B][0]&&(B=N))}var j=v;j[0]=j[1]=j[2]=0,j[n.log2(F^R)]=R&F,j[n.log2(R^B)]=R&B;var U=7^B;U===w||U===z?(U=7^F,j[n.log2(B^U)]=U&B):j[n.log2(F^U)]=U&F;var V=g,q=w;for(A=0;A<3;++A)V[A]=q&1< HALF_PI) && (b <= ONE_AND_HALF_PI)) ?\n b - PI :\n b;\n}\n\nfloat look_horizontal_or_vertical(float a, float ratio) {\n // ratio controls the ratio between being horizontal to (vertical + horizontal)\n // if ratio is set to 0.5 then it is 50%, 50%.\n // when using a higher ratio e.g. 0.75 the result would\n // likely be more horizontal than vertical.\n\n float b = positive_angle(a);\n\n return\n (b < ( ratio) * HALF_PI) ? 0.0 :\n (b < (2.0 - ratio) * HALF_PI) ? -HALF_PI :\n (b < (2.0 + ratio) * HALF_PI) ? 0.0 :\n (b < (4.0 - ratio) * HALF_PI) ? HALF_PI :\n 0.0;\n}\n\nfloat roundTo(float a, float b) {\n return float(b * floor((a + 0.5 * b) / b));\n}\n\nfloat look_round_n_directions(float a, int n) {\n float b = positive_angle(a);\n float div = TWO_PI / float(n);\n float c = roundTo(b, div);\n return look_upwards(c);\n}\n\nfloat applyAlignOption(float rawAngle, float delta) {\n return\n (option > 2) ? look_round_n_directions(rawAngle + delta, option) : // option 3-n: round to n directions\n (option == 2) ? look_horizontal_or_vertical(rawAngle + delta, hv_ratio) : // horizontal or vertical\n (option == 1) ? rawAngle + delta : // use free angle, and flip to align with one direction of the axis\n (option == 0) ? look_upwards(rawAngle) : // use free angle, and stay upwards\n (option ==-1) ? 0.0 : // useful for backward compatibility, all texts remains horizontal\n rawAngle; // otherwise return back raw input angle\n}\n\nbool isAxisTitle = (axis.x == 0.0) &&\n (axis.y == 0.0) &&\n (axis.z == 0.0);\n\nvoid main() {\n //Compute world offset\n float axisDistance = position.z;\n vec3 dataPosition = axisDistance * axis + offset;\n\n float beta = angle; // i.e. user defined attributes for each tick\n\n float axisAngle;\n float clipAngle;\n float flip;\n\n if (enableAlign) {\n axisAngle = (isAxisTitle) ? HALF_PI :\n computeViewAngle(dataPosition, dataPosition + axis);\n clipAngle = computeViewAngle(dataPosition, dataPosition + alignDir);\n\n axisAngle += (sin(axisAngle) < 0.0) ? PI : 0.0;\n clipAngle += (sin(clipAngle) < 0.0) ? PI : 0.0;\n\n flip = (dot(vec2(cos(axisAngle), sin(axisAngle)),\n vec2(sin(clipAngle),-cos(clipAngle))) > 0.0) ? 1.0 : 0.0;\n\n beta += applyAlignOption(clipAngle, flip * PI);\n }\n\n //Compute plane offset\n vec2 planeCoord = position.xy * pixelScale;\n\n mat2 planeXform = scale * mat2(\n cos(beta), sin(beta),\n -sin(beta), cos(beta)\n );\n\n vec2 viewOffset = 2.0 * planeXform * planeCoord / resolution;\n\n //Compute clip position\n vec3 clipPosition = project(dataPosition);\n\n //Apply text offset in clip coordinates\n clipPosition += vec3(viewOffset, 0.0);\n\n //Done\n gl_Position = vec4(clipPosition, 1.0);\n}"]),l=n(["precision highp float;\n#define GLSLIFY 1\n\nuniform vec4 color;\nvoid main() {\n gl_FragColor = color;\n}"]);e.f=function(t){return i(t,s,l,null,[{name:"position",type:"vec3"}])};var u=n(["precision highp float;\n#define GLSLIFY 1\n\nattribute vec3 position;\nattribute vec3 normal;\n\nuniform mat4 model, view, projection;\nuniform vec3 enable;\nuniform vec3 bounds[2];\n\nvarying vec3 colorChannel;\n\nvoid main() {\n\n vec3 signAxis = sign(bounds[1] - bounds[0]);\n\n vec3 realNormal = signAxis * normal;\n\n if(dot(realNormal, enable) > 0.0) {\n vec3 minRange = min(bounds[0], bounds[1]);\n vec3 maxRange = max(bounds[0], bounds[1]);\n vec3 nPosition = mix(minRange, maxRange, 0.5 * (position + 1.0));\n gl_Position = projection * view * model * vec4(nPosition, 1.0);\n } else {\n gl_Position = vec4(0,0,0,0);\n }\n\n colorChannel = abs(realNormal);\n}"]),c=n(["precision highp float;\n#define GLSLIFY 1\n\nuniform vec4 colors[3];\n\nvarying vec3 colorChannel;\n\nvoid main() {\n gl_FragColor = colorChannel.x * colors[0] +\n colorChannel.y * colors[1] +\n colorChannel.z * colors[2];\n}"]);e.bg=function(t){return i(t,u,c,null,[{name:"position",type:"vec3"},{name:"normal",type:"vec3"}])}},9557:function(t,e,r){"use strict";t.exports=function(t,e,r,i,o,l){var u=n(t),f=a(t,[{buffer:u,size:3}]),h=s(t);h.attributes.position.location=0;var p=new c(t,h,u,f);return p.update(e,r,i,o,l),p};var n=r(5827),a=r(2944),o=r(875),s=r(1943).f,l=window||i.global||{},u=l.__TEXT_CACHE||{};function c(t,e,r,n){this.gl=t,this.shader=e,this.buffer=r,this.vao=n,this.tickOffset=this.tickCount=this.labelOffset=this.labelCount=null}l.__TEXT_CACHE={};var f=c.prototype,h=[0,0];f.bind=function(t,e,r,n){this.vao.bind(),this.shader.bind();var i=this.shader.uniforms;i.model=t,i.view=e,i.projection=r,i.pixelScale=n,h[0]=this.gl.drawingBufferWidth,h[1]=this.gl.drawingBufferHeight,this.shader.uniforms.resolution=h},f.unbind=function(){this.vao.unbind()},f.update=function(t,e,r,n,i){var a=[];function s(t,e,r,n,i,s){var l=u[r];l||(l=u[r]={});var c=l[e];c||(c=l[e]=function(t,e){try{return o(t,e)}catch(e){return console.warn('error vectorizing text:"'+t+'" error:',e),{cells:[],positions:[]}}}(e,{triangles:!0,font:r,textAlign:"center",textBaseline:"middle",lineSpacing:i,styletags:s}));for(var f=(n||12)/12,h=c.positions,p=c.cells,d=0,v=p.length;d=0;--y){var m=h[g[y]];a.push(f*m[0],-f*m[1],t)}}for(var l=[0,0,0],c=[0,0,0],f=[0,0,0],h=[0,0,0],p={breaklines:!0,bolds:!0,italics:!0,subscripts:!0,superscripts:!0},d=0;d<3;++d){f[d]=a.length/3|0,s(.5*(t[0][d]+t[1][d]),e[d],r[d],12,1.25,p),h[d]=(a.length/3|0)-f[d],l[d]=a.length/3|0;for(var v=0;v=0&&(i=r.length-n-1);var a=Math.pow(10,i),o=Math.round(t*e*a),s=o+"";if(s.indexOf("e")>=0)return s;var l=o/a,u=o%a;o<0?(l=0|-Math.ceil(l),u=0|-u):(l=0|Math.floor(l),u|=0);var c=""+l;if(o<0&&(c="-"+c),i){for(var f=""+u;f.length=t[0][i];--o)a.push({x:o*e[i],text:r(e[i],o)});n.push(a)}return n},e.equal=function(t,e){for(var r=0;r<3;++r){if(t[r].length!==e[r].length)return!1;for(var n=0;nr)throw new Error("gl-buffer: If resizing buffer, must not specify offset");return t.bufferSubData(e,a,i),r}function c(t,e){for(var r=n.malloc(t.length,e),i=t.length,a=0;a=0;--n){if(e[n]!==r)return!1;r*=t[n]}return!0}(t.shape,t.stride))0===t.offset&&t.data.length===t.shape[0]?this.length=u(this.gl,this.type,this.length,this.usage,t.data,e):this.length=u(this.gl,this.type,this.length,this.usage,t.data.subarray(t.offset,t.shape[0]),e);else{var s=n.malloc(t.size,r),l=a(s,t.shape);i.assign(l,t),this.length=u(this.gl,this.type,this.length,this.usage,e<0?s:s.subarray(0,t.size),e),n.free(s)}}else if(Array.isArray(t)){var f;f=this.type===this.gl.ELEMENT_ARRAY_BUFFER?c(t,"uint16"):c(t,"float32"),this.length=u(this.gl,this.type,this.length,this.usage,e<0?f:f.subarray(0,t.length),e),n.free(f)}else if("object"==typeof t&&"number"==typeof t.length)this.length=u(this.gl,this.type,this.length,this.usage,t,e);else{if("number"!=typeof t&&void 0!==t)throw new Error("gl-buffer: Invalid data type");if(e>=0)throw new Error("gl-buffer: Cannot specify offset when resizing buffer");(t|=0)<=0&&(t=1),this.gl.bufferData(this.type,0|t,this.usage),this.length=t}},t.exports=function(t,e,r,n){if(r=r||t.ARRAY_BUFFER,n=n||t.DYNAMIC_DRAW,r!==t.ARRAY_BUFFER&&r!==t.ELEMENT_ARRAY_BUFFER)throw new Error("gl-buffer: Invalid type for webgl buffer, must be either gl.ARRAY_BUFFER or gl.ELEMENT_ARRAY_BUFFER");if(n!==t.DYNAMIC_DRAW&&n!==t.STATIC_DRAW&&n!==t.STREAM_DRAW)throw new Error("gl-buffer: Invalid usage for buffer, must be either gl.DYNAMIC_DRAW, gl.STATIC_DRAW or gl.STREAM_DRAW");var i=t.createBuffer(),a=new s(t,r,i,0,n);return a.update(e),a}},1140:function(t,e,r){"use strict";var n=r(2858);t.exports=function(t,e){var r=t.positions,i=t.vectors,a={positions:[],vertexIntensity:[],vertexIntensityBounds:t.vertexIntensityBounds,vectors:[],cells:[],coneOffset:t.coneOffset,colormap:t.colormap};if(0===t.positions.length)return e&&(e[0]=[0,0,0],e[1]=[0,0,0]),a;for(var o=0,s=1/0,l=-1/0,u=1/0,c=-1/0,f=1/0,h=-1/0,p=null,d=null,v=[],g=1/0,y=!1,m=0;mo&&(o=n.length(b)),m){var _=2*n.distance(p,x)/(n.length(d)+n.length(b));_?(g=Math.min(g,_),y=!1):y=!0}y||(p=x,d=b),v.push(b)}var w=[s,u,f],T=[l,c,h];e&&(e[0]=w,e[1]=T),0===o&&(o=1);var k=1/o;isFinite(g)||(g=1),a.vectorScale=g;var A=t.coneSize||.5;t.absoluteConeSize&&(A=t.absoluteConeSize*k),a.coneScale=A,m=0;for(var M=0;m=1},p.isTransparent=function(){return this.opacity<1},p.pickSlots=1,p.setPickBase=function(t){this.pickId=t},p.update=function(t){t=t||{};var e=this.gl;this.dirty=!0,"lightPosition"in t&&(this.lightPosition=t.lightPosition),"opacity"in t&&(this.opacity=t.opacity),"ambient"in t&&(this.ambientLight=t.ambient),"diffuse"in t&&(this.diffuseLight=t.diffuse),"specular"in t&&(this.specularLight=t.specular),"roughness"in t&&(this.roughness=t.roughness),"fresnel"in t&&(this.fresnel=t.fresnel),void 0!==t.tubeScale&&(this.tubeScale=t.tubeScale),void 0!==t.vectorScale&&(this.vectorScale=t.vectorScale),void 0!==t.coneScale&&(this.coneScale=t.coneScale),void 0!==t.coneOffset&&(this.coneOffset=t.coneOffset),t.colormap&&(this.texture.shape=[256,256],this.texture.minFilter=e.LINEAR_MIPMAP_LINEAR,this.texture.magFilter=e.LINEAR,this.texture.setPixels(function(t){for(var e=c({colormap:t,nshades:256,format:"rgba"}),r=new Uint8Array(1024),n=0;n<256;++n){for(var i=e[n],a=0;a<3;++a)r[4*n+a]=i[a];r[4*n+3]=255*i[3]}return u(r,[256,256,4],[4,0,1])}(t.colormap)),this.texture.generateMipmap());var r=t.cells,n=t.positions,i=t.vectors;if(n&&r&&i){var a=[],o=[],s=[],l=[],f=[];this.cells=r,this.positions=n,this.vectors=i;var h=t.meshColor||[1,1,1,1],p=t.vertexIntensity,d=1/0,v=-1/0;if(p)if(t.vertexIntensityBounds)d=+t.vertexIntensityBounds[0],v=+t.vertexIntensityBounds[1];else for(var g=0;g0){var v=this.triShader;v.bind(),v.uniforms=u,this.triangleVAO.bind(),e.drawArrays(e.TRIANGLES,0,3*this.triangleCount),this.triangleVAO.unbind()}},p.drawPick=function(t){t=t||{};for(var e=this.gl,r=t.model||f,n=t.view||f,i=t.projection||f,a=[[-1e6,-1e6,-1e6],[1e6,1e6,1e6]],o=0;o<3;++o)a[0][o]=Math.max(a[0][o],this.clipBounds[0][o]),a[1][o]=Math.min(a[1][o],this.clipBounds[1][o]);this._model=[].slice.call(r),this._view=[].slice.call(n),this._projection=[].slice.call(i),this._resolution=[e.drawingBufferWidth,e.drawingBufferHeight];var s={model:r,view:n,projection:i,clipBounds:a,tubeScale:this.tubeScale,vectorScale:this.vectorScale,coneScale:this.coneScale,coneOffset:this.coneOffset,pickId:this.pickId/255},l=this.pickShader;l.bind(),l.uniforms=s,this.triangleCount>0&&(this.triangleVAO.bind(),e.drawArrays(e.TRIANGLES,0,3*this.triangleCount),this.triangleVAO.unbind())},p.pick=function(t){if(!t)return null;if(t.id!==this.pickId)return null;var e=t.value[0]+256*t.value[1]+65536*t.value[2],r=this.cells[e],n=this.positions[r[1]].slice(0,3),i={position:n,dataCoordinate:n,index:Math.floor(r[1]/48)};return"cone"===this.traceType?i.index=Math.floor(r[1]/48):"streamtube"===this.traceType&&(i.intensity=this.intensity[r[1]],i.velocity=this.vectors[r[1]].slice(0,3),i.divergence=this.vectors[r[1]][3],i.index=e),i},p.dispose=function(){this.texture.dispose(),this.triShader.dispose(),this.pickShader.dispose(),this.triangleVAO.dispose(),this.trianglePositions.dispose(),this.triangleVectors.dispose(),this.triangleColors.dispose(),this.triangleUVs.dispose(),this.triangleIds.dispose()},t.exports=function(t,e,r){var s=r.shaders;1===arguments.length&&(t=(e=t).gl);var l=function(t,e){var r=n(t,e.meshShader.vertex,e.meshShader.fragment,null,e.meshShader.attributes);return r.attributes.position.location=0,r.attributes.color.location=2,r.attributes.uv.location=3,r.attributes.vector.location=4,r}(t,s),c=function(t,e){var r=n(t,e.pickShader.vertex,e.pickShader.fragment,null,e.pickShader.attributes);return r.attributes.position.location=0,r.attributes.id.location=1,r.attributes.vector.location=4,r}(t,s),f=o(t,u(new Uint8Array([255,255,255,255]),[1,1,4]));f.generateMipmap(),f.minFilter=t.LINEAR_MIPMAP_LINEAR,f.magFilter=t.LINEAR;var p=i(t),d=i(t),v=i(t),g=i(t),y=i(t),m=new h(t,f,l,c,p,d,y,v,g,a(t,[{buffer:p,type:t.FLOAT,size:4},{buffer:y,type:t.UNSIGNED_BYTE,size:4,normalized:!0},{buffer:v,type:t.FLOAT,size:4},{buffer:g,type:t.FLOAT,size:2},{buffer:d,type:t.FLOAT,size:4}]),r.traceType||"cone");return m.update(e),m}},7234:function(t,e,r){var n=r(6832),i=n(["precision highp float;\n\nprecision highp float;\n#define GLSLIFY 1\n\nvec3 getOrthogonalVector(vec3 v) {\n // Return up-vector for only-z vector.\n // Return ax + by + cz = 0, a point that lies on the plane that has v as a normal and that isn't (0,0,0).\n // From the above if-statement we have ||a|| > 0 U ||b|| > 0.\n // Assign z = 0, x = -b, y = a:\n // a*-b + b*a + c*0 = -ba + ba + 0 = 0\n if (v.x*v.x > v.z*v.z || v.y*v.y > v.z*v.z) {\n return normalize(vec3(-v.y, v.x, 0.0));\n } else {\n return normalize(vec3(0.0, v.z, -v.y));\n }\n}\n\n// Calculate the cone vertex and normal at the given index.\n//\n// The returned vertex is for a cone with its top at origin and height of 1.0,\n// pointing in the direction of the vector attribute.\n//\n// Each cone is made up of a top vertex, a center base vertex and base perimeter vertices.\n// These vertices are used to make up the triangles of the cone by the following:\n// segment + 0 top vertex\n// segment + 1 perimeter vertex a+1\n// segment + 2 perimeter vertex a\n// segment + 3 center base vertex\n// segment + 4 perimeter vertex a\n// segment + 5 perimeter vertex a+1\n// Where segment is the number of the radial segment * 6 and a is the angle at that radial segment.\n// To go from index to segment, floor(index / 6)\n// To go from segment to angle, 2*pi * (segment/segmentCount)\n// To go from index to segment index, index - (segment*6)\n//\nvec3 getConePosition(vec3 d, float rawIndex, float coneOffset, out vec3 normal) {\n\n const float segmentCount = 8.0;\n\n float index = rawIndex - floor(rawIndex /\n (segmentCount * 6.0)) *\n (segmentCount * 6.0);\n\n float segment = floor(0.001 + index/6.0);\n float segmentIndex = index - (segment*6.0);\n\n normal = -normalize(d);\n\n if (segmentIndex > 2.99 && segmentIndex < 3.01) {\n return mix(vec3(0.0), -d, coneOffset);\n }\n\n float nextAngle = (\n (segmentIndex > 0.99 && segmentIndex < 1.01) ||\n (segmentIndex > 4.99 && segmentIndex < 5.01)\n ) ? 1.0 : 0.0;\n float angle = 2.0 * 3.14159 * ((segment + nextAngle) / segmentCount);\n\n vec3 v1 = mix(d, vec3(0.0), coneOffset);\n vec3 v2 = v1 - d;\n\n vec3 u = getOrthogonalVector(d);\n vec3 v = normalize(cross(u, d));\n\n vec3 x = u * cos(angle) * length(d)*0.25;\n vec3 y = v * sin(angle) * length(d)*0.25;\n vec3 v3 = v2 + x + y;\n if (segmentIndex < 3.0) {\n vec3 tx = u * sin(angle);\n vec3 ty = v * -cos(angle);\n vec3 tangent = tx + ty;\n normal = normalize(cross(v3 - v1, tangent));\n }\n\n if (segmentIndex == 0.0) {\n return mix(d, vec3(0.0), coneOffset);\n }\n return v3;\n}\n\nattribute vec3 vector;\nattribute vec4 color, position;\nattribute vec2 uv;\n\nuniform float vectorScale, coneScale, coneOffset;\nuniform mat4 model, view, projection, inverseModel;\nuniform vec3 eyePosition, lightPosition;\n\nvarying vec3 f_normal, f_lightDirection, f_eyeDirection, f_data, f_position;\nvarying vec4 f_color;\nvarying vec2 f_uv;\n\nvoid main() {\n // Scale the vector magnitude to stay constant with\n // model & view changes.\n vec3 normal;\n vec3 XYZ = getConePosition(mat3(model) * ((vectorScale * coneScale) * vector), position.w, coneOffset, normal);\n vec4 conePosition = model * vec4(position.xyz, 1.0) + vec4(XYZ, 0.0);\n\n //Lighting geometry parameters\n vec4 cameraCoordinate = view * conePosition;\n cameraCoordinate.xyz /= cameraCoordinate.w;\n f_lightDirection = lightPosition - cameraCoordinate.xyz;\n f_eyeDirection = eyePosition - cameraCoordinate.xyz;\n f_normal = normalize((vec4(normal, 0.0) * inverseModel).xyz);\n\n // vec4 m_position = model * vec4(conePosition, 1.0);\n vec4 t_position = view * conePosition;\n gl_Position = projection * t_position;\n\n f_color = color;\n f_data = conePosition.xyz;\n f_position = position.xyz;\n f_uv = uv;\n}\n"]),a=n(["#extension GL_OES_standard_derivatives : enable\n\nprecision highp float;\n#define GLSLIFY 1\n\nfloat beckmannDistribution(float x, float roughness) {\n float NdotH = max(x, 0.0001);\n float cos2Alpha = NdotH * NdotH;\n float tan2Alpha = (cos2Alpha - 1.0) / cos2Alpha;\n float roughness2 = roughness * roughness;\n float denom = 3.141592653589793 * roughness2 * cos2Alpha * cos2Alpha;\n return exp(tan2Alpha / roughness2) / denom;\n}\n\nfloat cookTorranceSpecular(\n vec3 lightDirection,\n vec3 viewDirection,\n vec3 surfaceNormal,\n float roughness,\n float fresnel) {\n\n float VdotN = max(dot(viewDirection, surfaceNormal), 0.0);\n float LdotN = max(dot(lightDirection, surfaceNormal), 0.0);\n\n //Half angle vector\n vec3 H = normalize(lightDirection + viewDirection);\n\n //Geometric term\n float NdotH = max(dot(surfaceNormal, H), 0.0);\n float VdotH = max(dot(viewDirection, H), 0.000001);\n float LdotH = max(dot(lightDirection, H), 0.000001);\n float G1 = (2.0 * NdotH * VdotN) / VdotH;\n float G2 = (2.0 * NdotH * LdotN) / LdotH;\n float G = min(1.0, min(G1, G2));\n \n //Distribution term\n float D = beckmannDistribution(NdotH, roughness);\n\n //Fresnel term\n float F = pow(1.0 - VdotN, fresnel);\n\n //Multiply terms and done\n return G * F * D / max(3.14159265 * VdotN, 0.000001);\n}\n\nbool outOfRange(float a, float b, float p) {\n return ((p > max(a, b)) || \n (p < min(a, b)));\n}\n\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\n return (outOfRange(a.x, b.x, p.x) ||\n outOfRange(a.y, b.y, p.y));\n}\n\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\n return (outOfRange(a.x, b.x, p.x) ||\n outOfRange(a.y, b.y, p.y) ||\n outOfRange(a.z, b.z, p.z));\n}\n\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\n return outOfRange(a.xyz, b.xyz, p.xyz);\n}\n\nuniform vec3 clipBounds[2];\nuniform float roughness, fresnel, kambient, kdiffuse, kspecular, opacity;\nuniform sampler2D texture;\n\nvarying vec3 f_normal, f_lightDirection, f_eyeDirection, f_data, f_position;\nvarying vec4 f_color;\nvarying vec2 f_uv;\n\nvoid main() {\n if (outOfRange(clipBounds[0], clipBounds[1], f_position)) discard;\n vec3 N = normalize(f_normal);\n vec3 L = normalize(f_lightDirection);\n vec3 V = normalize(f_eyeDirection);\n\n if(gl_FrontFacing) {\n N = -N;\n }\n\n float specular = min(1.0, max(0.0, cookTorranceSpecular(L, V, N, roughness, fresnel)));\n float diffuse = min(kambient + kdiffuse * max(dot(N, L), 0.0), 1.0);\n\n vec4 surfaceColor = f_color * texture2D(texture, f_uv);\n vec4 litColor = surfaceColor.a * vec4(diffuse * surfaceColor.rgb + kspecular * vec3(1,1,1) * specular, 1.0);\n\n gl_FragColor = litColor * opacity;\n}\n"]),o=n(["precision highp float;\n\nprecision highp float;\n#define GLSLIFY 1\n\nvec3 getOrthogonalVector(vec3 v) {\n // Return up-vector for only-z vector.\n // Return ax + by + cz = 0, a point that lies on the plane that has v as a normal and that isn't (0,0,0).\n // From the above if-statement we have ||a|| > 0 U ||b|| > 0.\n // Assign z = 0, x = -b, y = a:\n // a*-b + b*a + c*0 = -ba + ba + 0 = 0\n if (v.x*v.x > v.z*v.z || v.y*v.y > v.z*v.z) {\n return normalize(vec3(-v.y, v.x, 0.0));\n } else {\n return normalize(vec3(0.0, v.z, -v.y));\n }\n}\n\n// Calculate the cone vertex and normal at the given index.\n//\n// The returned vertex is for a cone with its top at origin and height of 1.0,\n// pointing in the direction of the vector attribute.\n//\n// Each cone is made up of a top vertex, a center base vertex and base perimeter vertices.\n// These vertices are used to make up the triangles of the cone by the following:\n// segment + 0 top vertex\n// segment + 1 perimeter vertex a+1\n// segment + 2 perimeter vertex a\n// segment + 3 center base vertex\n// segment + 4 perimeter vertex a\n// segment + 5 perimeter vertex a+1\n// Where segment is the number of the radial segment * 6 and a is the angle at that radial segment.\n// To go from index to segment, floor(index / 6)\n// To go from segment to angle, 2*pi * (segment/segmentCount)\n// To go from index to segment index, index - (segment*6)\n//\nvec3 getConePosition(vec3 d, float rawIndex, float coneOffset, out vec3 normal) {\n\n const float segmentCount = 8.0;\n\n float index = rawIndex - floor(rawIndex /\n (segmentCount * 6.0)) *\n (segmentCount * 6.0);\n\n float segment = floor(0.001 + index/6.0);\n float segmentIndex = index - (segment*6.0);\n\n normal = -normalize(d);\n\n if (segmentIndex > 2.99 && segmentIndex < 3.01) {\n return mix(vec3(0.0), -d, coneOffset);\n }\n\n float nextAngle = (\n (segmentIndex > 0.99 && segmentIndex < 1.01) ||\n (segmentIndex > 4.99 && segmentIndex < 5.01)\n ) ? 1.0 : 0.0;\n float angle = 2.0 * 3.14159 * ((segment + nextAngle) / segmentCount);\n\n vec3 v1 = mix(d, vec3(0.0), coneOffset);\n vec3 v2 = v1 - d;\n\n vec3 u = getOrthogonalVector(d);\n vec3 v = normalize(cross(u, d));\n\n vec3 x = u * cos(angle) * length(d)*0.25;\n vec3 y = v * sin(angle) * length(d)*0.25;\n vec3 v3 = v2 + x + y;\n if (segmentIndex < 3.0) {\n vec3 tx = u * sin(angle);\n vec3 ty = v * -cos(angle);\n vec3 tangent = tx + ty;\n normal = normalize(cross(v3 - v1, tangent));\n }\n\n if (segmentIndex == 0.0) {\n return mix(d, vec3(0.0), coneOffset);\n }\n return v3;\n}\n\nattribute vec4 vector;\nattribute vec4 position;\nattribute vec4 id;\n\nuniform mat4 model, view, projection;\nuniform float vectorScale, coneScale, coneOffset;\n\nvarying vec3 f_position;\nvarying vec4 f_id;\n\nvoid main() {\n vec3 normal;\n vec3 XYZ = getConePosition(mat3(model) * ((vectorScale * coneScale) * vector.xyz), position.w, coneOffset, normal);\n vec4 conePosition = model * vec4(position.xyz, 1.0) + vec4(XYZ, 0.0);\n gl_Position = projection * view * conePosition;\n f_id = id;\n f_position = position.xyz;\n}\n"]),s=n(["precision highp float;\n#define GLSLIFY 1\n\nbool outOfRange(float a, float b, float p) {\n return ((p > max(a, b)) || \n (p < min(a, b)));\n}\n\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\n return (outOfRange(a.x, b.x, p.x) ||\n outOfRange(a.y, b.y, p.y));\n}\n\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\n return (outOfRange(a.x, b.x, p.x) ||\n outOfRange(a.y, b.y, p.y) ||\n outOfRange(a.z, b.z, p.z));\n}\n\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\n return outOfRange(a.xyz, b.xyz, p.xyz);\n}\n\nuniform vec3 clipBounds[2];\nuniform float pickId;\n\nvarying vec3 f_position;\nvarying vec4 f_id;\n\nvoid main() {\n if (outOfRange(clipBounds[0], clipBounds[1], f_position)) discard;\n\n gl_FragColor = vec4(pickId, f_id.xyz);\n}"]);e.meshShader={vertex:i,fragment:a,attributes:[{name:"position",type:"vec4"},{name:"color",type:"vec4"},{name:"uv",type:"vec2"},{name:"vector",type:"vec3"}]},e.pickShader={vertex:o,fragment:s,attributes:[{name:"position",type:"vec4"},{name:"id",type:"vec4"},{name:"vector",type:"vec3"}]}},1950:function(t){t.exports={0:"NONE",1:"ONE",2:"LINE_LOOP",3:"LINE_STRIP",4:"TRIANGLES",5:"TRIANGLE_STRIP",6:"TRIANGLE_FAN",256:"DEPTH_BUFFER_BIT",512:"NEVER",513:"LESS",514:"EQUAL",515:"LEQUAL",516:"GREATER",517:"NOTEQUAL",518:"GEQUAL",519:"ALWAYS",768:"SRC_COLOR",769:"ONE_MINUS_SRC_COLOR",770:"SRC_ALPHA",771:"ONE_MINUS_SRC_ALPHA",772:"DST_ALPHA",773:"ONE_MINUS_DST_ALPHA",774:"DST_COLOR",775:"ONE_MINUS_DST_COLOR",776:"SRC_ALPHA_SATURATE",1024:"STENCIL_BUFFER_BIT",1028:"FRONT",1029:"BACK",1032:"FRONT_AND_BACK",1280:"INVALID_ENUM",1281:"INVALID_VALUE",1282:"INVALID_OPERATION",1285:"OUT_OF_MEMORY",1286:"INVALID_FRAMEBUFFER_OPERATION",2304:"CW",2305:"CCW",2849:"LINE_WIDTH",2884:"CULL_FACE",2885:"CULL_FACE_MODE",2886:"FRONT_FACE",2928:"DEPTH_RANGE",2929:"DEPTH_TEST",2930:"DEPTH_WRITEMASK",2931:"DEPTH_CLEAR_VALUE",2932:"DEPTH_FUNC",2960:"STENCIL_TEST",2961:"STENCIL_CLEAR_VALUE",2962:"STENCIL_FUNC",2963:"STENCIL_VALUE_MASK",2964:"STENCIL_FAIL",2965:"STENCIL_PASS_DEPTH_FAIL",2966:"STENCIL_PASS_DEPTH_PASS",2967:"STENCIL_REF",2968:"STENCIL_WRITEMASK",2978:"VIEWPORT",3024:"DITHER",3042:"BLEND",3088:"SCISSOR_BOX",3089:"SCISSOR_TEST",3106:"COLOR_CLEAR_VALUE",3107:"COLOR_WRITEMASK",3317:"UNPACK_ALIGNMENT",3333:"PACK_ALIGNMENT",3379:"MAX_TEXTURE_SIZE",3386:"MAX_VIEWPORT_DIMS",3408:"SUBPIXEL_BITS",3410:"RED_BITS",3411:"GREEN_BITS",3412:"BLUE_BITS",3413:"ALPHA_BITS",3414:"DEPTH_BITS",3415:"STENCIL_BITS",3553:"TEXTURE_2D",4352:"DONT_CARE",4353:"FASTEST",4354:"NICEST",5120:"BYTE",5121:"UNSIGNED_BYTE",5122:"SHORT",5123:"UNSIGNED_SHORT",5124:"INT",5125:"UNSIGNED_INT",5126:"FLOAT",5386:"INVERT",5890:"TEXTURE",6401:"STENCIL_INDEX",6402:"DEPTH_COMPONENT",6406:"ALPHA",6407:"RGB",6408:"RGBA",6409:"LUMINANCE",6410:"LUMINANCE_ALPHA",7680:"KEEP",7681:"REPLACE",7682:"INCR",7683:"DECR",7936:"VENDOR",7937:"RENDERER",7938:"VERSION",9728:"NEAREST",9729:"LINEAR",9984:"NEAREST_MIPMAP_NEAREST",9985:"LINEAR_MIPMAP_NEAREST",9986:"NEAREST_MIPMAP_LINEAR",9987:"LINEAR_MIPMAP_LINEAR",10240:"TEXTURE_MAG_FILTER",10241:"TEXTURE_MIN_FILTER",10242:"TEXTURE_WRAP_S",10243:"TEXTURE_WRAP_T",10497:"REPEAT",10752:"POLYGON_OFFSET_UNITS",16384:"COLOR_BUFFER_BIT",32769:"CONSTANT_COLOR",32770:"ONE_MINUS_CONSTANT_COLOR",32771:"CONSTANT_ALPHA",32772:"ONE_MINUS_CONSTANT_ALPHA",32773:"BLEND_COLOR",32774:"FUNC_ADD",32777:"BLEND_EQUATION_RGB",32778:"FUNC_SUBTRACT",32779:"FUNC_REVERSE_SUBTRACT",32819:"UNSIGNED_SHORT_4_4_4_4",32820:"UNSIGNED_SHORT_5_5_5_1",32823:"POLYGON_OFFSET_FILL",32824:"POLYGON_OFFSET_FACTOR",32854:"RGBA4",32855:"RGB5_A1",32873:"TEXTURE_BINDING_2D",32926:"SAMPLE_ALPHA_TO_COVERAGE",32928:"SAMPLE_COVERAGE",32936:"SAMPLE_BUFFERS",32937:"SAMPLES",32938:"SAMPLE_COVERAGE_VALUE",32939:"SAMPLE_COVERAGE_INVERT",32968:"BLEND_DST_RGB",32969:"BLEND_SRC_RGB",32970:"BLEND_DST_ALPHA",32971:"BLEND_SRC_ALPHA",33071:"CLAMP_TO_EDGE",33170:"GENERATE_MIPMAP_HINT",33189:"DEPTH_COMPONENT16",33306:"DEPTH_STENCIL_ATTACHMENT",33635:"UNSIGNED_SHORT_5_6_5",33648:"MIRRORED_REPEAT",33901:"ALIASED_POINT_SIZE_RANGE",33902:"ALIASED_LINE_WIDTH_RANGE",33984:"TEXTURE0",33985:"TEXTURE1",33986:"TEXTURE2",33987:"TEXTURE3",33988:"TEXTURE4",33989:"TEXTURE5",33990:"TEXTURE6",33991:"TEXTURE7",33992:"TEXTURE8",33993:"TEXTURE9",33994:"TEXTURE10",33995:"TEXTURE11",33996:"TEXTURE12",33997:"TEXTURE13",33998:"TEXTURE14",33999:"TEXTURE15",34e3:"TEXTURE16",34001:"TEXTURE17",34002:"TEXTURE18",34003:"TEXTURE19",34004:"TEXTURE20",34005:"TEXTURE21",34006:"TEXTURE22",34007:"TEXTURE23",34008:"TEXTURE24",34009:"TEXTURE25",34010:"TEXTURE26",34011:"TEXTURE27",34012:"TEXTURE28",34013:"TEXTURE29",34014:"TEXTURE30",34015:"TEXTURE31",34016:"ACTIVE_TEXTURE",34024:"MAX_RENDERBUFFER_SIZE",34041:"DEPTH_STENCIL",34055:"INCR_WRAP",34056:"DECR_WRAP",34067:"TEXTURE_CUBE_MAP",34068:"TEXTURE_BINDING_CUBE_MAP",34069:"TEXTURE_CUBE_MAP_POSITIVE_X",34070:"TEXTURE_CUBE_MAP_NEGATIVE_X",34071:"TEXTURE_CUBE_MAP_POSITIVE_Y",34072:"TEXTURE_CUBE_MAP_NEGATIVE_Y",34073:"TEXTURE_CUBE_MAP_POSITIVE_Z",34074:"TEXTURE_CUBE_MAP_NEGATIVE_Z",34076:"MAX_CUBE_MAP_TEXTURE_SIZE",34338:"VERTEX_ATTRIB_ARRAY_ENABLED",34339:"VERTEX_ATTRIB_ARRAY_SIZE",34340:"VERTEX_ATTRIB_ARRAY_STRIDE",34341:"VERTEX_ATTRIB_ARRAY_TYPE",34342:"CURRENT_VERTEX_ATTRIB",34373:"VERTEX_ATTRIB_ARRAY_POINTER",34466:"NUM_COMPRESSED_TEXTURE_FORMATS",34467:"COMPRESSED_TEXTURE_FORMATS",34660:"BUFFER_SIZE",34661:"BUFFER_USAGE",34816:"STENCIL_BACK_FUNC",34817:"STENCIL_BACK_FAIL",34818:"STENCIL_BACK_PASS_DEPTH_FAIL",34819:"STENCIL_BACK_PASS_DEPTH_PASS",34877:"BLEND_EQUATION_ALPHA",34921:"MAX_VERTEX_ATTRIBS",34922:"VERTEX_ATTRIB_ARRAY_NORMALIZED",34930:"MAX_TEXTURE_IMAGE_UNITS",34962:"ARRAY_BUFFER",34963:"ELEMENT_ARRAY_BUFFER",34964:"ARRAY_BUFFER_BINDING",34965:"ELEMENT_ARRAY_BUFFER_BINDING",34975:"VERTEX_ATTRIB_ARRAY_BUFFER_BINDING",35040:"STREAM_DRAW",35044:"STATIC_DRAW",35048:"DYNAMIC_DRAW",35632:"FRAGMENT_SHADER",35633:"VERTEX_SHADER",35660:"MAX_VERTEX_TEXTURE_IMAGE_UNITS",35661:"MAX_COMBINED_TEXTURE_IMAGE_UNITS",35663:"SHADER_TYPE",35664:"FLOAT_VEC2",35665:"FLOAT_VEC3",35666:"FLOAT_VEC4",35667:"INT_VEC2",35668:"INT_VEC3",35669:"INT_VEC4",35670:"BOOL",35671:"BOOL_VEC2",35672:"BOOL_VEC3",35673:"BOOL_VEC4",35674:"FLOAT_MAT2",35675:"FLOAT_MAT3",35676:"FLOAT_MAT4",35678:"SAMPLER_2D",35680:"SAMPLER_CUBE",35712:"DELETE_STATUS",35713:"COMPILE_STATUS",35714:"LINK_STATUS",35715:"VALIDATE_STATUS",35716:"INFO_LOG_LENGTH",35717:"ATTACHED_SHADERS",35718:"ACTIVE_UNIFORMS",35719:"ACTIVE_UNIFORM_MAX_LENGTH",35720:"SHADER_SOURCE_LENGTH",35721:"ACTIVE_ATTRIBUTES",35722:"ACTIVE_ATTRIBUTE_MAX_LENGTH",35724:"SHADING_LANGUAGE_VERSION",35725:"CURRENT_PROGRAM",36003:"STENCIL_BACK_REF",36004:"STENCIL_BACK_VALUE_MASK",36005:"STENCIL_BACK_WRITEMASK",36006:"FRAMEBUFFER_BINDING",36007:"RENDERBUFFER_BINDING",36048:"FRAMEBUFFER_ATTACHMENT_OBJECT_TYPE",36049:"FRAMEBUFFER_ATTACHMENT_OBJECT_NAME",36050:"FRAMEBUFFER_ATTACHMENT_TEXTURE_LEVEL",36051:"FRAMEBUFFER_ATTACHMENT_TEXTURE_CUBE_MAP_FACE",36053:"FRAMEBUFFER_COMPLETE",36054:"FRAMEBUFFER_INCOMPLETE_ATTACHMENT",36055:"FRAMEBUFFER_INCOMPLETE_MISSING_ATTACHMENT",36057:"FRAMEBUFFER_INCOMPLETE_DIMENSIONS",36061:"FRAMEBUFFER_UNSUPPORTED",36064:"COLOR_ATTACHMENT0",36096:"DEPTH_ATTACHMENT",36128:"STENCIL_ATTACHMENT",36160:"FRAMEBUFFER",36161:"RENDERBUFFER",36162:"RENDERBUFFER_WIDTH",36163:"RENDERBUFFER_HEIGHT",36164:"RENDERBUFFER_INTERNAL_FORMAT",36168:"STENCIL_INDEX8",36176:"RENDERBUFFER_RED_SIZE",36177:"RENDERBUFFER_GREEN_SIZE",36178:"RENDERBUFFER_BLUE_SIZE",36179:"RENDERBUFFER_ALPHA_SIZE",36180:"RENDERBUFFER_DEPTH_SIZE",36181:"RENDERBUFFER_STENCIL_SIZE",36194:"RGB565",36336:"LOW_FLOAT",36337:"MEDIUM_FLOAT",36338:"HIGH_FLOAT",36339:"LOW_INT",36340:"MEDIUM_INT",36341:"HIGH_INT",36346:"SHADER_COMPILER",36347:"MAX_VERTEX_UNIFORM_VECTORS",36348:"MAX_VARYING_VECTORS",36349:"MAX_FRAGMENT_UNIFORM_VECTORS",37440:"UNPACK_FLIP_Y_WEBGL",37441:"UNPACK_PREMULTIPLY_ALPHA_WEBGL",37442:"CONTEXT_LOST_WEBGL",37443:"UNPACK_COLORSPACE_CONVERSION_WEBGL",37444:"BROWSER_DEFAULT_WEBGL"}},6603:function(t,e,r){var n=r(1950);t.exports=function(t){return n[t]}},3110:function(t,e,r){"use strict";t.exports=function(t){var e=t.gl,r=n(e),o=i(e,[{buffer:r,type:e.FLOAT,size:3,offset:0,stride:40},{buffer:r,type:e.FLOAT,size:4,offset:12,stride:40},{buffer:r,type:e.FLOAT,size:3,offset:28,stride:40}]),l=a(e);l.attributes.position.location=0,l.attributes.color.location=1,l.attributes.offset.location=2;var u=new s(e,r,o,l);return u.update(t),u};var n=r(5827),i=r(2944),a=r(7667),o=[1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1];function s(t,e,r,n){this.gl=t,this.shader=n,this.buffer=e,this.vao=r,this.pixelRatio=1,this.bounds=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]],this.clipBounds=[[-1/0,-1/0,-1/0],[1/0,1/0,1/0]],this.lineWidth=[1,1,1],this.capSize=[10,10,10],this.lineCount=[0,0,0],this.lineOffset=[0,0,0],this.opacity=1,this.hasAlpha=!1}var l=s.prototype;function u(t,e){for(var r=0;r<3;++r)t[0][r]=Math.min(t[0][r],e[r]),t[1][r]=Math.max(t[1][r],e[r])}l.isOpaque=function(){return!this.hasAlpha},l.isTransparent=function(){return this.hasAlpha},l.drawTransparent=l.draw=function(t){var e=this.gl,r=this.shader.uniforms;this.shader.bind();var n=r.view=t.view||o,i=r.projection=t.projection||o;r.model=t.model||o,r.clipBounds=this.clipBounds,r.opacity=this.opacity;var a=n[12],s=n[13],l=n[14],u=n[15],c=(t._ortho?2:1)*this.pixelRatio*(i[3]*a+i[7]*s+i[11]*l+i[15]*u)/e.drawingBufferHeight;this.vao.bind();for(var f=0;f<3;++f)e.lineWidth(this.lineWidth[f]*this.pixelRatio),r.capSize=this.capSize[f]*c,this.lineCount[f]&&e.drawArrays(e.LINES,this.lineOffset[f],this.lineCount[f]);this.vao.unbind()};var c=function(){for(var t=new Array(3),e=0;e<3;++e){for(var r=[],n=1;n<=2;++n)for(var i=-1;i<=1;i+=2){var a=[0,0,0];a[(n+e)%3]=i,r.push(a)}t[e]=r}return t}();function f(t,e,r,n){for(var i=c[n],a=0;a0&&((p=c.slice())[s]+=d[1][s],i.push(c[0],c[1],c[2],v[0],v[1],v[2],v[3],0,0,0,p[0],p[1],p[2],v[0],v[1],v[2],v[3],0,0,0),u(this.bounds,p),o+=2+f(i,p,v,s)))}this.lineCount[s]=o-this.lineOffset[s]}this.buffer.update(i)}},l.dispose=function(){this.shader.dispose(),this.buffer.dispose(),this.vao.dispose()}},7667:function(t,e,r){"use strict";var n=r(6832),i=r(5158),a=n(["precision highp float;\n#define GLSLIFY 1\n\nattribute vec3 position, offset;\nattribute vec4 color;\nuniform mat4 model, view, projection;\nuniform float capSize;\nvarying vec4 fragColor;\nvarying vec3 fragPosition;\n\nvoid main() {\n vec4 worldPosition = model * vec4(position, 1.0);\n worldPosition = (worldPosition / worldPosition.w) + vec4(capSize * offset, 0.0);\n gl_Position = projection * view * worldPosition;\n fragColor = color;\n fragPosition = position;\n}"]),o=n(["precision highp float;\n#define GLSLIFY 1\n\nbool outOfRange(float a, float b, float p) {\n return ((p > max(a, b)) || \n (p < min(a, b)));\n}\n\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\n return (outOfRange(a.x, b.x, p.x) ||\n outOfRange(a.y, b.y, p.y));\n}\n\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\n return (outOfRange(a.x, b.x, p.x) ||\n outOfRange(a.y, b.y, p.y) ||\n outOfRange(a.z, b.z, p.z));\n}\n\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\n return outOfRange(a.xyz, b.xyz, p.xyz);\n}\n\nuniform vec3 clipBounds[2];\nuniform float opacity;\nvarying vec3 fragPosition;\nvarying vec4 fragColor;\n\nvoid main() {\n if (\n outOfRange(clipBounds[0], clipBounds[1], fragPosition) ||\n fragColor.a * opacity == 0.\n ) discard;\n\n gl_FragColor = opacity * fragColor;\n}"]);t.exports=function(t){return i(t,a,o,null,[{name:"position",type:"vec3"},{name:"color",type:"vec4"},{name:"offset",type:"vec3"}])}},4234:function(t,e,r){"use strict";var n=r(8931);t.exports=function(t,e,r,n){i||(i=t.FRAMEBUFFER_UNSUPPORTED,a=t.FRAMEBUFFER_INCOMPLETE_ATTACHMENT,o=t.FRAMEBUFFER_INCOMPLETE_DIMENSIONS,s=t.FRAMEBUFFER_INCOMPLETE_MISSING_ATTACHMENT);var u=t.getExtension("WEBGL_draw_buffers");if(!l&&u&&function(t,e){var r=t.getParameter(e.MAX_COLOR_ATTACHMENTS_WEBGL);l=new Array(r+1);for(var n=0;n<=r;++n){for(var i=new Array(r),a=0;ac||r<0||r>c)throw new Error("gl-fbo: Parameters are too large for FBO");var f=1;if("color"in(n=n||{})){if((f=Math.max(0|n.color,0))<0)throw new Error("gl-fbo: Must specify a nonnegative number of colors");if(f>1){if(!u)throw new Error("gl-fbo: Multiple draw buffer extension not supported");if(f>t.getParameter(u.MAX_COLOR_ATTACHMENTS_WEBGL))throw new Error("gl-fbo: Context does not support "+f+" draw buffers")}}var h=t.UNSIGNED_BYTE,p=t.getExtension("OES_texture_float");if(n.float&&f>0){if(!p)throw new Error("gl-fbo: Context does not support floating point textures");h=t.FLOAT}else n.preferFloat&&f>0&&p&&(h=t.FLOAT);var v=!0;"depth"in n&&(v=!!n.depth);var g=!1;return"stencil"in n&&(g=!!n.stencil),new d(t,e,r,h,f,v,g,u)};var i,a,o,s,l=null;function u(t){return[t.getParameter(t.FRAMEBUFFER_BINDING),t.getParameter(t.RENDERBUFFER_BINDING),t.getParameter(t.TEXTURE_BINDING_2D)]}function c(t,e){t.bindFramebuffer(t.FRAMEBUFFER,e[0]),t.bindRenderbuffer(t.RENDERBUFFER,e[1]),t.bindTexture(t.TEXTURE_2D,e[2])}function f(t){switch(t){case i:throw new Error("gl-fbo: Framebuffer unsupported");case a:throw new Error("gl-fbo: Framebuffer incomplete attachment");case o:throw new Error("gl-fbo: Framebuffer incomplete dimensions");case s:throw new Error("gl-fbo: Framebuffer incomplete missing attachment");default:throw new Error("gl-fbo: Framebuffer failed for unspecified reason")}}function h(t,e,r,i,a,o){if(!i)return null;var s=n(t,e,r,a,i);return 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x=r.checkFramebufferStatus(r.FRAMEBUFFER);if(x!==r.FRAMEBUFFER_COMPLETE){for(t._destroyed=!0,r.bindFramebuffer(r.FRAMEBUFFER,null),r.deleteFramebuffer(t.handle),t.handle=null,t.depth&&(t.depth.dispose(),t.depth=null),t._depth_rb&&(r.deleteRenderbuffer(t._depth_rb),t._depth_rb=null),y=0;yi||r<0||r>i)throw new Error("gl-fbo: Can't resize FBO, invalid dimensions");t._shape[0]=e,t._shape[1]=r;for(var a=u(n),o=0;o>8*p&255;this.pickOffset=r,i.bind();var d=i.uniforms;d.viewTransform=t,d.pickOffset=e,d.shape=this.shape;var v=i.attributes;return this.positionBuffer.bind(),v.position.pointer(),this.weightBuffer.bind(),v.weight.pointer(s.UNSIGNED_BYTE,!1),this.idBuffer.bind(),v.pickId.pointer(s.UNSIGNED_BYTE,!1),s.drawArrays(s.TRIANGLES,0,o),r+this.shape[0]*this.shape[1]}}}(),f.pick=function(t,e,r){var n=this.pickOffset,i=this.shape[0]*this.shape[1];if(r=n+i)return null;var a=r-n,o=this.xData,s=this.yData;return{object:this,pointId:a,dataCoord:[o[a%this.shape[0]],s[a/this.shape[0]|0]]}},f.update=function(t){var e=(t=t||{}).shape||[0,0],r=t.x||i(e[0]),o=t.y||i(e[1]),s=t.z||new Float32Array(e[0]*e[1]),l=!1!==t.zsmooth;this.xData=r,this.yData=o;var u,c,f,p,d=t.colorLevels||[0],v=t.colorValues||[0,0,0,1],g=d.length,y=this.bounds;l?(u=y[0]=r[0],c=y[1]=o[0],f=y[2]=r[r.length-1],p=y[3]=o[o.length-1]):(u=y[0]=r[0]+(r[1]-r[0])/2,c=y[1]=o[0]+(o[1]-o[0])/2,f=y[2]=r[r.length-1]+(r[r.length-1]-r[r.length-2])/2,p=y[3]=o[o.length-1]+(o[o.length-1]-o[o.length-2])/2);var m=1/(f-u),x=1/(p-c),b=e[0],_=e[1];this.shape=[b,_];var w=(l?(b-1)*(_-1):b*_)*(h.length>>>1);this.numVertices=w;for(var T=a.mallocUint8(4*w),k=a.mallocFloat32(2*w),A=a.mallocUint8(2*w),M=a.mallocUint32(w),S=0,E=l?b-1:b,L=l?_-1:_,C=0;C max(a, b)) || \n (p < min(a, b)));\n}\n\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\n return (outOfRange(a.x, b.x, p.x) ||\n outOfRange(a.y, b.y, p.y));\n}\n\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\n return (outOfRange(a.x, b.x, p.x) ||\n outOfRange(a.y, b.y, p.y) ||\n outOfRange(a.z, b.z, p.z));\n}\n\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\n return outOfRange(a.xyz, b.xyz, p.xyz);\n}\n\nuniform vec3 clipBounds[2];\nuniform sampler2D dashTexture;\nuniform float dashScale;\nuniform float opacity;\n\nvarying vec3 worldPosition;\nvarying float pixelArcLength;\nvarying vec4 fragColor;\n\nvoid main() {\n if (\n outOfRange(clipBounds[0], clipBounds[1], worldPosition) ||\n fragColor.a * opacity == 0.\n ) discard;\n\n float dashWeight = texture2D(dashTexture, vec2(dashScale * pixelArcLength, 0)).r;\n if(dashWeight < 0.5) {\n discard;\n }\n gl_FragColor = fragColor * opacity;\n}\n"]),s=n(["precision highp float;\n#define GLSLIFY 1\n\n#define FLOAT_MAX 1.70141184e38\n#define FLOAT_MIN 1.17549435e-38\n\n// https://github.com/mikolalysenko/glsl-read-float/blob/master/index.glsl\nvec4 packFloat(float v) {\n float av = abs(v);\n\n //Handle special cases\n if(av < FLOAT_MIN) {\n return vec4(0.0, 0.0, 0.0, 0.0);\n } else if(v > FLOAT_MAX) {\n return vec4(127.0, 128.0, 0.0, 0.0) / 255.0;\n } else if(v < -FLOAT_MAX) {\n return vec4(255.0, 128.0, 0.0, 0.0) / 255.0;\n }\n\n vec4 c = vec4(0,0,0,0);\n\n //Compute exponent and mantissa\n float e = floor(log2(av));\n float m = av * pow(2.0, -e) - 1.0;\n\n //Unpack mantissa\n c[1] = floor(128.0 * m);\n m -= c[1] / 128.0;\n c[2] = floor(32768.0 * m);\n m -= c[2] / 32768.0;\n c[3] = floor(8388608.0 * m);\n\n //Unpack exponent\n float ebias = e + 127.0;\n c[0] = floor(ebias / 2.0);\n ebias -= c[0] * 2.0;\n c[1] += floor(ebias) * 128.0;\n\n //Unpack sign bit\n c[0] += 128.0 * step(0.0, -v);\n\n //Scale back to range\n return c / 255.0;\n}\n\nbool outOfRange(float a, float b, float p) {\n return ((p > max(a, b)) || \n (p < min(a, b)));\n}\n\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\n return (outOfRange(a.x, b.x, p.x) ||\n outOfRange(a.y, b.y, p.y));\n}\n\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\n return (outOfRange(a.x, b.x, p.x) ||\n outOfRange(a.y, b.y, p.y) ||\n outOfRange(a.z, b.z, p.z));\n}\n\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\n return outOfRange(a.xyz, b.xyz, p.xyz);\n}\n\nuniform float pickId;\nuniform vec3 clipBounds[2];\n\nvarying vec3 worldPosition;\nvarying float pixelArcLength;\nvarying vec4 fragColor;\n\nvoid main() {\n if (outOfRange(clipBounds[0], clipBounds[1], worldPosition)) discard;\n\n gl_FragColor = vec4(pickId/255.0, packFloat(pixelArcLength).xyz);\n}"]),l=[{name:"position",type:"vec3"},{name:"nextPosition",type:"vec3"},{name:"arcLength",type:"float"},{name:"lineWidth",type:"float"},{name:"color",type:"vec4"}];e.createShader=function(t){return i(t,a,o,null,l)},e.createPickShader=function(t){return i(t,a,s,null,l)}},6086:function(t,e,r){"use strict";t.exports=function(t){var e=t.gl||t.scene&&t.scene.gl,r=f(e);r.attributes.position.location=0,r.attributes.nextPosition.location=1,r.attributes.arcLength.location=2,r.attributes.lineWidth.location=3,r.attributes.color.location=4;var o=h(e);o.attributes.position.location=0,o.attributes.nextPosition.location=1,o.attributes.arcLength.location=2,o.attributes.lineWidth.location=3,o.attributes.color.location=4;for(var s=n(e),l=i(e,[{buffer:s,size:3,offset:0,stride:48},{buffer:s,size:3,offset:12,stride:48},{buffer:s,size:1,offset:24,stride:48},{buffer:s,size:1,offset:28,stride:48},{buffer:s,size:4,offset:32,stride:48}]),c=u(new Array(1024),[256,1,4]),p=0;p<1024;++p)c.data[p]=255;var d=a(e,c);d.wrap=e.REPEAT;var v=new y(e,r,o,s,l,d);return v.update(t),v};var n=r(5827),i=r(2944),a=r(8931),o=new Uint8Array(4),s=new Float32Array(o.buffer),l=r(5070),u=r(5050),c=r(248),f=c.createShader,h=c.createPickShader,p=[1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1];function d(t,e){for(var r=0,n=0;n<3;++n){var i=t[n]-e[n];r+=i*i}return Math.sqrt(r)}function v(t){for(var e=[[-1e6,-1e6,-1e6],[1e6,1e6,1e6]],r=0;r<3;++r)e[0][r]=Math.max(t[0][r],e[0][r]),e[1][r]=Math.min(t[1][r],e[1][r]);return e}function g(t,e,r,n){this.arcLength=t,this.position=e,this.index=r,this.dataCoordinate=n}function y(t,e,r,n,i,a){this.gl=t,this.shader=e,this.pickShader=r,this.buffer=n,this.vao=i,this.clipBounds=[[-1/0,-1/0,-1/0],[1/0,1/0,1/0]],this.points=[],this.arcLength=[],this.vertexCount=0,this.bounds=[[0,0,0],[0,0,0]],this.pickId=0,this.lineWidth=1,this.texture=a,this.dashScale=1,this.opacity=1,this.hasAlpha=!1,this.dirty=!0,this.pixelRatio=1}var m=y.prototype;m.isTransparent=function(){return this.hasAlpha},m.isOpaque=function(){return!this.hasAlpha},m.pickSlots=1,m.setPickBase=function(t){this.pickId=t},m.drawTransparent=m.draw=function(t){if(this.vertexCount){var e=this.gl,r=this.shader,n=this.vao;r.bind(),r.uniforms={model:t.model||p,view:t.view||p,projection:t.projection||p,clipBounds:v(this.clipBounds),dashTexture:this.texture.bind(),dashScale:this.dashScale/this.arcLength[this.arcLength.length-1],opacity:this.opacity,screenShape:[e.drawingBufferWidth,e.drawingBufferHeight],pixelRatio:this.pixelRatio},n.bind(),n.draw(e.TRIANGLE_STRIP,this.vertexCount),n.unbind()}},m.drawPick=function(t){if(this.vertexCount){var e=this.gl,r=this.pickShader,n=this.vao;r.bind(),r.uniforms={model:t.model||p,view:t.view||p,projection:t.projection||p,pickId:this.pickId,clipBounds:v(this.clipBounds),screenShape:[e.drawingBufferWidth,e.drawingBufferHeight],pixelRatio:this.pixelRatio},n.bind(),n.draw(e.TRIANGLE_STRIP,this.vertexCount),n.unbind()}},m.update=function(t){var e,r;this.dirty=!0;var n=!!t.connectGaps;"dashScale"in t&&(this.dashScale=t.dashScale),this.hasAlpha=!1,"opacity"in t&&(this.opacity=+t.opacity,this.opacity<1&&(this.hasAlpha=!0));var i=[],a=[],o=[],s=0,c=0,f=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]],h=t.position||t.positions;if(h){var p=t.color||t.colors||[0,0,0,1],v=t.lineWidth||1,g=!1;t:for(e=1;e0){for(var w=0;w<24;++w)i.push(i[i.length-12]);c+=2,g=!0}continue t}f[0][r]=Math.min(f[0][r],b[r],_[r]),f[1][r]=Math.max(f[1][r],b[r],_[r])}Array.isArray(p[0])?(y=p.length>e-1?p[e-1]:p.length>0?p[p.length-1]:[0,0,0,1],m=p.length>e?p[e]:p.length>0?p[p.length-1]:[0,0,0,1]):y=m=p,3===y.length&&(y=[y[0],y[1],y[2],1]),3===m.length&&(m=[m[0],m[1],m[2],1]),!this.hasAlpha&&y[3]<1&&(this.hasAlpha=!0),x=Array.isArray(v)?v.length>e-1?v[e-1]:v.length>0?v[v.length-1]:[0,0,0,1]:v;var T=s;if(s+=d(b,_),g){for(r=0;r<2;++r)i.push(b[0],b[1],b[2],_[0],_[1],_[2],T,x,y[0],y[1],y[2],y[3]);c+=2,g=!1}i.push(b[0],b[1],b[2],_[0],_[1],_[2],T,x,y[0],y[1],y[2],y[3],b[0],b[1],b[2],_[0],_[1],_[2],T,-x,y[0],y[1],y[2],y[3],_[0],_[1],_[2],b[0],b[1],b[2],s,-x,m[0],m[1],m[2],m[3],_[0],_[1],_[2],b[0],b[1],b[2],s,x,m[0],m[1],m[2],m[3]),c+=4}}if(this.buffer.update(i),a.push(s),o.push(h[h.length-1].slice()),this.bounds=f,this.vertexCount=c,this.points=o,this.arcLength=a,"dashes"in t){var k=t.dashes.slice();for(k.unshift(0),e=1;e1.0001)return null;y+=g[f]}return Math.abs(y-1)>.001?null:[h,s(t,g),g]}},2056:function(t,e,r){var n=r(6832),i=n(["precision highp float;\n#define GLSLIFY 1\n\nattribute vec3 position, normal;\nattribute vec4 color;\nattribute vec2 uv;\n\nuniform mat4 model\n , view\n , projection\n , inverseModel;\nuniform vec3 eyePosition\n , lightPosition;\n\nvarying vec3 f_normal\n , f_lightDirection\n , f_eyeDirection\n , f_data;\nvarying vec4 f_color;\nvarying vec2 f_uv;\n\nvec4 project(vec3 p) {\n return projection * view * model * vec4(p, 1.0);\n}\n\nvoid main() {\n gl_Position = project(position);\n\n //Lighting geometry parameters\n vec4 cameraCoordinate = view * vec4(position , 1.0);\n cameraCoordinate.xyz /= cameraCoordinate.w;\n f_lightDirection = lightPosition - cameraCoordinate.xyz;\n f_eyeDirection = eyePosition - cameraCoordinate.xyz;\n f_normal = normalize((vec4(normal, 0.0) * inverseModel).xyz);\n\n f_color = color;\n f_data = position;\n f_uv = uv;\n}\n"]),a=n(["#extension GL_OES_standard_derivatives : enable\n\nprecision highp float;\n#define GLSLIFY 1\n\nfloat beckmannDistribution(float x, float roughness) {\n float NdotH = max(x, 0.0001);\n float cos2Alpha = NdotH * NdotH;\n float tan2Alpha = (cos2Alpha - 1.0) / cos2Alpha;\n float roughness2 = roughness * roughness;\n float denom = 3.141592653589793 * roughness2 * cos2Alpha * cos2Alpha;\n return exp(tan2Alpha / roughness2) / denom;\n}\n\nfloat cookTorranceSpecular(\n vec3 lightDirection,\n vec3 viewDirection,\n vec3 surfaceNormal,\n float roughness,\n float fresnel) {\n\n float VdotN = max(dot(viewDirection, surfaceNormal), 0.0);\n float LdotN = max(dot(lightDirection, surfaceNormal), 0.0);\n\n //Half angle vector\n vec3 H = normalize(lightDirection + viewDirection);\n\n //Geometric term\n float NdotH = max(dot(surfaceNormal, H), 0.0);\n float VdotH = max(dot(viewDirection, H), 0.000001);\n float LdotH = max(dot(lightDirection, H), 0.000001);\n float G1 = (2.0 * NdotH * VdotN) / VdotH;\n float G2 = (2.0 * NdotH * LdotN) / LdotH;\n float G = min(1.0, min(G1, G2));\n \n //Distribution term\n float D = beckmannDistribution(NdotH, roughness);\n\n //Fresnel term\n float F = pow(1.0 - VdotN, fresnel);\n\n //Multiply terms and done\n return G * F * D / max(3.14159265 * VdotN, 0.000001);\n}\n\n//#pragma glslify: beckmann = require(glsl-specular-beckmann) // used in gl-surface3d\n\nbool outOfRange(float a, float b, float p) {\n return ((p > max(a, b)) || \n (p < min(a, b)));\n}\n\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\n return (outOfRange(a.x, b.x, p.x) ||\n outOfRange(a.y, b.y, p.y));\n}\n\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\n return (outOfRange(a.x, b.x, p.x) ||\n outOfRange(a.y, b.y, p.y) ||\n outOfRange(a.z, b.z, p.z));\n}\n\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\n return outOfRange(a.xyz, b.xyz, p.xyz);\n}\n\nuniform vec3 clipBounds[2];\nuniform float roughness\n , fresnel\n , kambient\n , kdiffuse\n , kspecular;\nuniform sampler2D texture;\n\nvarying vec3 f_normal\n , f_lightDirection\n , f_eyeDirection\n , f_data;\nvarying vec4 f_color;\nvarying vec2 f_uv;\n\nvoid main() {\n if (f_color.a == 0.0 ||\n outOfRange(clipBounds[0], clipBounds[1], f_data)\n ) discard;\n\n vec3 N = normalize(f_normal);\n vec3 L = normalize(f_lightDirection);\n vec3 V = normalize(f_eyeDirection);\n\n if(gl_FrontFacing) {\n N = -N;\n }\n\n float specular = min(1.0, max(0.0, cookTorranceSpecular(L, V, N, roughness, fresnel)));\n //float specular = max(0.0, beckmann(L, V, N, roughness)); // used in gl-surface3d\n\n float diffuse = min(kambient + kdiffuse * max(dot(N, L), 0.0), 1.0);\n\n vec4 surfaceColor = vec4(f_color.rgb, 1.0) * texture2D(texture, f_uv);\n vec4 litColor = surfaceColor.a * vec4(diffuse * surfaceColor.rgb + kspecular * vec3(1,1,1) * specular, 1.0);\n\n gl_FragColor = litColor * f_color.a;\n}\n"]),o=n(["precision highp float;\n#define GLSLIFY 1\n\nattribute vec3 position;\nattribute vec4 color;\nattribute vec2 uv;\n\nuniform mat4 model, view, projection;\n\nvarying vec4 f_color;\nvarying vec3 f_data;\nvarying vec2 f_uv;\n\nvoid main() {\n gl_Position = projection * view * model * vec4(position, 1.0);\n f_color = color;\n f_data = position;\n f_uv = uv;\n}"]),s=n(["precision highp float;\n#define GLSLIFY 1\n\nbool outOfRange(float a, float b, float p) {\n return ((p > max(a, b)) || \n (p < min(a, b)));\n}\n\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\n return (outOfRange(a.x, b.x, p.x) ||\n outOfRange(a.y, b.y, p.y));\n}\n\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\n return (outOfRange(a.x, b.x, p.x) ||\n outOfRange(a.y, b.y, p.y) ||\n outOfRange(a.z, b.z, p.z));\n}\n\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\n return outOfRange(a.xyz, b.xyz, p.xyz);\n}\n\nuniform vec3 clipBounds[2];\nuniform sampler2D texture;\nuniform float opacity;\n\nvarying vec4 f_color;\nvarying vec3 f_data;\nvarying vec2 f_uv;\n\nvoid main() {\n if (outOfRange(clipBounds[0], clipBounds[1], f_data)) discard;\n\n gl_FragColor = f_color * texture2D(texture, f_uv) * opacity;\n}"]),l=n(["precision highp float;\n#define GLSLIFY 1\n\nbool outOfRange(float a, float b, float p) {\n return ((p > max(a, b)) || \n (p < min(a, b)));\n}\n\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\n return (outOfRange(a.x, b.x, p.x) ||\n outOfRange(a.y, b.y, p.y));\n}\n\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\n return (outOfRange(a.x, b.x, p.x) ||\n outOfRange(a.y, b.y, p.y) ||\n outOfRange(a.z, b.z, p.z));\n}\n\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\n return outOfRange(a.xyz, b.xyz, p.xyz);\n}\n\nattribute vec3 position;\nattribute vec4 color;\nattribute vec2 uv;\nattribute float pointSize;\n\nuniform mat4 model, view, projection;\nuniform vec3 clipBounds[2];\n\nvarying vec4 f_color;\nvarying vec2 f_uv;\n\nvoid main() {\n if (outOfRange(clipBounds[0], clipBounds[1], position)) {\n\n gl_Position = vec4(0.0, 0.0 ,0.0 ,0.0);\n } else {\n gl_Position = projection * view * model * vec4(position, 1.0);\n }\n gl_PointSize = pointSize;\n f_color = color;\n f_uv = uv;\n}"]),u=n(["precision highp float;\n#define GLSLIFY 1\n\nuniform sampler2D texture;\nuniform float opacity;\n\nvarying vec4 f_color;\nvarying vec2 f_uv;\n\nvoid main() {\n vec2 pointR = gl_PointCoord.xy - vec2(0.5, 0.5);\n if(dot(pointR, pointR) > 0.25) {\n discard;\n }\n gl_FragColor = f_color * texture2D(texture, f_uv) * opacity;\n}"]),c=n(["precision highp float;\n#define GLSLIFY 1\n\nattribute vec3 position;\nattribute vec4 id;\n\nuniform mat4 model, view, projection;\n\nvarying vec3 f_position;\nvarying vec4 f_id;\n\nvoid main() {\n gl_Position = projection * view * model * vec4(position, 1.0);\n f_id = id;\n f_position = position;\n}"]),f=n(["precision highp float;\n#define GLSLIFY 1\n\nbool outOfRange(float a, float b, float p) {\n return ((p > max(a, b)) || \n (p < min(a, b)));\n}\n\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\n return (outOfRange(a.x, b.x, p.x) ||\n outOfRange(a.y, b.y, p.y));\n}\n\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\n return (outOfRange(a.x, b.x, p.x) ||\n outOfRange(a.y, b.y, p.y) ||\n outOfRange(a.z, b.z, p.z));\n}\n\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\n return outOfRange(a.xyz, b.xyz, p.xyz);\n}\n\nuniform vec3 clipBounds[2];\nuniform float pickId;\n\nvarying vec3 f_position;\nvarying vec4 f_id;\n\nvoid main() {\n if (outOfRange(clipBounds[0], clipBounds[1], f_position)) discard;\n\n gl_FragColor = vec4(pickId, f_id.xyz);\n}"]),h=n(["precision highp float;\n#define GLSLIFY 1\n\nbool outOfRange(float a, float b, float p) {\n return ((p > max(a, b)) || \n (p < min(a, b)));\n}\n\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\n return (outOfRange(a.x, b.x, p.x) ||\n outOfRange(a.y, b.y, p.y));\n}\n\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\n return (outOfRange(a.x, b.x, p.x) ||\n outOfRange(a.y, b.y, p.y) ||\n outOfRange(a.z, b.z, p.z));\n}\n\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\n return outOfRange(a.xyz, b.xyz, p.xyz);\n}\n\nattribute vec3 position;\nattribute float pointSize;\nattribute vec4 id;\n\nuniform mat4 model, view, projection;\nuniform vec3 clipBounds[2];\n\nvarying vec3 f_position;\nvarying vec4 f_id;\n\nvoid main() {\n if (outOfRange(clipBounds[0], clipBounds[1], position)) {\n\n gl_Position = vec4(0.0, 0.0, 0.0, 0.0);\n } else {\n gl_Position = projection * view * model * vec4(position, 1.0);\n gl_PointSize = pointSize;\n }\n f_id = id;\n f_position = position;\n}"]),p=n(["precision highp float;\n#define GLSLIFY 1\n\nattribute vec3 position;\n\nuniform mat4 model, view, projection;\n\nvoid main() {\n gl_Position = projection * view * model * vec4(position, 1.0);\n}"]),d=n(["precision highp float;\n#define GLSLIFY 1\n\nuniform vec3 contourColor;\n\nvoid main() {\n gl_FragColor = vec4(contourColor, 1.0);\n}\n"]);e.meshShader={vertex:i,fragment:a,attributes:[{name:"position",type:"vec3"},{name:"normal",type:"vec3"},{name:"color",type:"vec4"},{name:"uv",type:"vec2"}]},e.wireShader={vertex:o,fragment:s,attributes:[{name:"position",type:"vec3"},{name:"color",type:"vec4"},{name:"uv",type:"vec2"}]},e.pointShader={vertex:l,fragment:u,attributes:[{name:"position",type:"vec3"},{name:"color",type:"vec4"},{name:"uv",type:"vec2"},{name:"pointSize",type:"float"}]},e.pickShader={vertex:c,fragment:f,attributes:[{name:"position",type:"vec3"},{name:"id",type:"vec4"}]},e.pointPickShader={vertex:h,fragment:f,attributes:[{name:"position",type:"vec3"},{name:"pointSize",type:"float"},{name:"id",type:"vec4"}]},e.contourShader={vertex:p,fragment:d,attributes:[{name:"position",type:"vec3"}]}},8116:function(t,e,r){"use strict";var n=r(5158),i=r(5827),a=r(2944),o=r(8931),s=r(115),l=r(104),u=r(7437),c=r(5050),f=r(9156),h=r(7212),p=r(5306),d=r(2056),v=r(4340),g=d.meshShader,y=d.wireShader,m=d.pointShader,x=d.pickShader,b=d.pointPickShader,_=d.contourShader,w=[1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1];function T(t,e,r,n,i,a,o,s,l,u,c,f,h,p,d,v,g,y,m,x,b,_,T,k,A,M,S){this.gl=t,this.pixelRatio=1,this.cells=[],this.positions=[],this.intensity=[],this.texture=e,this.dirty=!0,this.triShader=r,this.lineShader=n,this.pointShader=i,this.pickShader=a,this.pointPickShader=o,this.contourShader=s,this.trianglePositions=l,this.triangleColors=c,this.triangleNormals=h,this.triangleUVs=f,this.triangleIds=u,this.triangleVAO=p,this.triangleCount=0,this.lineWidth=1,this.edgePositions=d,this.edgeColors=g,this.edgeUVs=y,this.edgeIds=v,this.edgeVAO=m,this.edgeCount=0,this.pointPositions=x,this.pointColors=_,this.pointUVs=T,this.pointSizes=k,this.pointIds=b,this.pointVAO=A,this.pointCount=0,this.contourLineWidth=1,this.contourPositions=M,this.contourVAO=S,this.contourCount=0,this.contourColor=[0,0,0],this.contourEnable=!0,this.pickVertex=!0,this.pickId=1,this.bounds=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]],this.clipBounds=[[-1/0,-1/0,-1/0],[1/0,1/0,1/0]],this.lightPosition=[1e5,1e5,0],this.ambientLight=.8,this.diffuseLight=.8,this.specularLight=2,this.roughness=.5,this.fresnel=1.5,this.opacity=1,this.hasAlpha=!1,this.opacityscale=!1,this._model=w,this._view=w,this._projection=w,this._resolution=[1,1]}var k=T.prototype;function A(t,e){if(!e)return 1;if(!e.length)return 1;for(var r=0;rt&&r>0){var n=(e[r][0]-t)/(e[r][0]-e[r-1][0]);return e[r][1]*(1-n)+n*e[r-1][1]}}return 1}function M(t){var e=n(t,m.vertex,m.fragment);return e.attributes.position.location=0,e.attributes.color.location=2,e.attributes.uv.location=3,e.attributes.pointSize.location=4,e}function S(t){var e=n(t,x.vertex,x.fragment);return e.attributes.position.location=0,e.attributes.id.location=1,e}function E(t){var e=n(t,b.vertex,b.fragment);return e.attributes.position.location=0,e.attributes.id.location=1,e.attributes.pointSize.location=4,e}function L(t){var e=n(t,_.vertex,_.fragment);return e.attributes.position.location=0,e}k.isOpaque=function(){return!this.hasAlpha},k.isTransparent=function(){return this.hasAlpha},k.pickSlots=1,k.setPickBase=function(t){this.pickId=t},k.highlight=function(t){if(t&&this.contourEnable){for(var e=h(this.cells,this.intensity,t.intensity),r=e.cells,n=e.vertexIds,i=e.vertexWeights,a=r.length,o=p.mallocFloat32(6*a),s=0,l=0;l0&&((f=this.triShader).bind(),f.uniforms=s,this.triangleVAO.bind(),e.drawArrays(e.TRIANGLES,0,3*this.triangleCount),this.triangleVAO.unbind()),this.edgeCount>0&&this.lineWidth>0&&((f=this.lineShader).bind(),f.uniforms=s,this.edgeVAO.bind(),e.lineWidth(this.lineWidth*this.pixelRatio),e.drawArrays(e.LINES,0,2*this.edgeCount),this.edgeVAO.unbind()),this.pointCount>0&&((f=this.pointShader).bind(),f.uniforms=s,this.pointVAO.bind(),e.drawArrays(e.POINTS,0,this.pointCount),this.pointVAO.unbind()),this.contourEnable&&this.contourCount>0&&this.contourLineWidth>0&&((f=this.contourShader).bind(),f.uniforms=s,this.contourVAO.bind(),e.drawArrays(e.LINES,0,this.contourCount),this.contourVAO.unbind())},k.drawPick=function(t){t=t||{};for(var e=this.gl,r=t.model||w,n=t.view||w,i=t.projection||w,a=[[-1e6,-1e6,-1e6],[1e6,1e6,1e6]],o=0;o<3;++o)a[0][o]=Math.max(a[0][o],this.clipBounds[0][o]),a[1][o]=Math.min(a[1][o],this.clipBounds[1][o]);this._model=[].slice.call(r),this._view=[].slice.call(n),this._projection=[].slice.call(i),this._resolution=[e.drawingBufferWidth,e.drawingBufferHeight];var s,l={model:r,view:n,projection:i,clipBounds:a,pickId:this.pickId/255};(s=this.pickShader).bind(),s.uniforms=l,this.triangleCount>0&&(this.triangleVAO.bind(),e.drawArrays(e.TRIANGLES,0,3*this.triangleCount),this.triangleVAO.unbind()),this.edgeCount>0&&(this.edgeVAO.bind(),e.lineWidth(this.lineWidth*this.pixelRatio),e.drawArrays(e.LINES,0,2*this.edgeCount),this.edgeVAO.unbind()),this.pointCount>0&&((s=this.pointPickShader).bind(),s.uniforms=l,this.pointVAO.bind(),e.drawArrays(e.POINTS,0,this.pointCount),this.pointVAO.unbind())},k.pick=function(t){if(!t)return null;if(t.id!==this.pickId)return null;for(var e=t.value[0]+256*t.value[1]+65536*t.value[2],r=this.cells[e],n=this.positions,i=new Array(r.length),a=0;ai[k]&&(r.uniforms.dataAxis=u,r.uniforms.screenOffset=c,r.uniforms.color=g[t],r.uniforms.angle=y[t],a.drawArrays(a.TRIANGLES,i[k],i[A]-i[k]))),m[t]&&T&&(c[1^t]-=M*p*x[t],r.uniforms.dataAxis=f,r.uniforms.screenOffset=c,r.uniforms.color=b[t],r.uniforms.angle=_[t],a.drawArrays(a.TRIANGLES,w,T)),c[1^t]=M*s[2+(1^t)]-1,d[t+2]&&(c[1^t]+=M*p*v[t+2],ki[k]&&(r.uniforms.dataAxis=u,r.uniforms.screenOffset=c,r.uniforms.color=g[t+2],r.uniforms.angle=y[t+2],a.drawArrays(a.TRIANGLES,i[k],i[A]-i[k]))),m[t+2]&&T&&(c[1^t]+=M*p*x[t+2],r.uniforms.dataAxis=f,r.uniforms.screenOffset=c,r.uniforms.color=b[t+2],r.uniforms.angle=_[t+2],a.drawArrays(a.TRIANGLES,w,T))}),v.drawTitle=function(){var t=[0,0],e=[0,0];return function(){var r=this.plot,n=this.shader,i=r.gl,a=r.screenBox,o=r.titleCenter,s=r.titleAngle,l=r.titleColor,u=r.pixelRatio;if(this.titleCount){for(var c=0;c<2;++c)e[c]=2*(o[c]*u-a[c])/(a[2+c]-a[c])-1;n.bind(),n.uniforms.dataAxis=t,n.uniforms.screenOffset=e,n.uniforms.angle=s,n.uniforms.color=l,i.drawArrays(i.TRIANGLES,this.titleOffset,this.titleCount)}}}(),v.bind=(h=[0,0],p=[0,0],d=[0,0],function(){var t=this.plot,e=this.shader,r=t._tickBounds,n=t.dataBox,i=t.screenBox,a=t.viewBox;e.bind();for(var o=0;o<2;++o){var s=r[o],l=r[o+2]-s,u=.5*(n[o+2]+n[o]),c=n[o+2]-n[o],f=a[o],v=a[o+2]-f,g=i[o],y=i[o+2]-g;p[o]=2*l/c*v/y,h[o]=2*(s-u)/c*v/y}d[1]=2*t.pixelRatio/(i[3]-i[1]),d[0]=d[1]*(i[3]-i[1])/(i[2]-i[0]),e.uniforms.dataScale=p,e.uniforms.dataShift=h,e.uniforms.textScale=d,this.vbo.bind(),e.attributes.textCoordinate.pointer()}),v.update=function(t){var e,r,n,i,o,s=[],l=t.ticks,u=t.bounds;for(o=0;o<2;++o){var c=[Math.floor(s.length/3)],f=[-1/0],h=l[o];for(e=0;e=0){var v=e[d]-n[d]*(e[d+2]-e[d])/(n[d+2]-n[d]);0===d?o.drawLine(v,e[1],v,e[3],p[d],h[d]):o.drawLine(e[0],v,e[2],v,p[d],h[d])}}for(d=0;d=0;--t)this.objects[t].dispose();for(this.objects.length=0,t=this.overlays.length-1;t>=0;--t)this.overlays[t].dispose();this.overlays.length=0,this.gl=null},u.addObject=function(t){this.objects.indexOf(t)<0&&(this.objects.push(t),this.setDirty())},u.removeObject=function(t){for(var e=this.objects,r=0;rMath.abs(e))u.rotate(a,0,0,-t*r*Math.PI*d.rotateSpeed/window.innerWidth);else if(!d._ortho){var o=-d.zoomSpeed*i*e/window.innerHeight*(a-u.lastT())/20;u.pan(a,0,0,f*(Math.exp(o)-1))}}}),!0)},d.enableMouseListeners(),d};var n=r(8161),i=r(1152),a=r(6145),o=r(6475),s=r(2565),l=r(5233)},8245:function(t,e,r){var n=r(6832),i=r(5158),a=n(["precision mediump float;\n#define GLSLIFY 1\nattribute vec2 position;\nvarying vec2 uv;\nvoid main() {\n uv = position;\n gl_Position = vec4(position, 0, 1);\n}"]),o=n(["precision mediump float;\n#define GLSLIFY 1\n\nuniform sampler2D accumBuffer;\nvarying vec2 uv;\n\nvoid main() {\n vec4 accum = texture2D(accumBuffer, 0.5 * (uv + 1.0));\n gl_FragColor = min(vec4(1,1,1,1), accum);\n}"]);t.exports=function(t){return i(t,a,o,null,[{name:"position",type:"vec2"}])}},1059:function(t,e,r){"use strict";var n=r(4296),i=r(7453),a=r(2771),o=r(6496),s=r(2611),l=r(4234),u=r(8126),c=r(6145),f=r(1120),h=r(5268),p=r(8245),d=r(2321)({tablet:!0,featureDetect:!0});function v(){this.mouse=[-1,-1],this.screen=null,this.distance=1/0,this.index=null,this.dataCoordinate=null,this.dataPosition=null,this.object=null,this.data=null}function g(t){var e=Math.round(Math.log(Math.abs(t))/Math.log(10));if(e<0){var r=Math.round(Math.pow(10,-e));return Math.ceil(t*r)/r}return e>0?(r=Math.round(Math.pow(10,e)),Math.ceil(t/r)*r):Math.ceil(t)}function y(t){return"boolean"!=typeof t||t}t.exports={createScene:function(t){(t=t||{}).camera=t.camera||{};var e=t.canvas;e||(e=document.createElement("canvas"),t.container?t.container.appendChild(e):document.body.appendChild(e));var r=t.gl;if(r||(t.glOptions&&(d=!!t.glOptions.preserveDrawingBuffer),r=function(t,e){var r=null;try{(r=t.getContext("webgl",e))||(r=t.getContext("experimental-webgl",e))}catch(t){return null}return r}(e,t.glOptions||{premultipliedAlpha:!0,antialias:!0,preserveDrawingBuffer:d})),!r)throw new Error("webgl not supported");var m=t.bounds||[[-10,-10,-10],[10,10,10]],x=new v,b=l(r,r.drawingBufferWidth,r.drawingBufferHeight,{preferFloat:!d}),_=p(r),w=t.cameraObject&&!0===t.cameraObject._ortho||t.camera.projection&&"orthographic"===t.camera.projection.type||!1,T={eye:t.camera.eye||[2,0,0],center:t.camera.center||[0,0,0],up:t.camera.up||[0,1,0],zoomMin:t.camera.zoomMax||.1,zoomMax:t.camera.zoomMin||100,mode:t.camera.mode||"turntable",_ortho:w},k=t.axes||{},A=i(r,k);A.enable=!k.disable;var M=t.spikes||{},S=o(r,M),E=[],L=[],C=[],P=[],O=!0,I=!0,D={view:null,projection:new Array(16),model:new Array(16),_ortho:!1},z=(I=!0,[r.drawingBufferWidth,r.drawingBufferHeight]),R=t.cameraObject||n(e,T),F={gl:r,contextLost:!1,pixelRatio:t.pixelRatio||1,canvas:e,selection:x,camera:R,axes:A,axesPixels:null,spikes:S,bounds:m,objects:E,shape:z,aspect:t.aspectRatio||[1,1,1],pickRadius:t.pickRadius||10,zNear:t.zNear||.01,zFar:t.zFar||1e3,fovy:t.fovy||Math.PI/4,clearColor:t.clearColor||[0,0,0,0],autoResize:y(t.autoResize),autoBounds:y(t.autoBounds),autoScale:!!t.autoScale,autoCenter:y(t.autoCenter),clipToBounds:y(t.clipToBounds),snapToData:!!t.snapToData,onselect:t.onselect||null,onrender:t.onrender||null,onclick:t.onclick||null,cameraParams:D,oncontextloss:null,mouseListener:null,_stopped:!1,getAspectratio:function(){return{x:this.aspect[0],y:this.aspect[1],z:this.aspect[2]}},setAspectratio:function(t){this.aspect[0]=t.x,this.aspect[1]=t.y,this.aspect[2]=t.z,I=!0},setBounds:function(t,e){this.bounds[0][t]=e.min,this.bounds[1][t]=e.max},setClearColor:function(t){this.clearColor=t},clearRGBA:function(){this.gl.clearColor(this.clearColor[0],this.clearColor[1],this.clearColor[2],this.clearColor[3]),this.gl.clear(this.gl.COLOR_BUFFER_BIT|this.gl.DEPTH_BUFFER_BIT)}},B=[r.drawingBufferWidth/F.pixelRatio|0,r.drawingBufferHeight/F.pixelRatio|0];function N(){if(!F._stopped&&F.autoResize){var t=e.parentNode,r=1,n=1;t&&t!==document.body?(r=t.clientWidth,n=t.clientHeight):(r=window.innerWidth,n=window.innerHeight);var i=0|Math.ceil(r*F.pixelRatio),a=0|Math.ceil(n*F.pixelRatio);if(i!==e.width||a!==e.height){e.width=i,e.height=a;var o=e.style;o.position=o.position||"absolute",o.left="0px",o.top="0px",o.width=r+"px",o.height=n+"px",O=!0}}}function j(){for(var t=E.length,e=P.length,n=0;n0&&0===C[e-1];)C.pop(),P.pop().dispose()}function U(){if(F.contextLost)return!0;r.isContextLost()&&(F.contextLost=!0,F.mouseListener.enabled=!1,F.selection.object=null,F.oncontextloss&&F.oncontextloss())}F.autoResize&&N(),window.addEventListener("resize",N),F.update=function(t){F._stopped||(t=t||{},O=!0,I=!0)},F.add=function(t){F._stopped||(t.axes=A,E.push(t),L.push(-1),O=!0,I=!0,j())},F.remove=function(t){if(!F._stopped){var e=E.indexOf(t);e<0||(E.splice(e,1),L.pop(),O=!0,I=!0,j())}},F.dispose=function(){if(!F._stopped&&(F._stopped=!0,window.removeEventListener("resize",N),e.removeEventListener("webglcontextlost",U),F.mouseListener.enabled=!1,!F.contextLost)){A.dispose(),S.dispose();for(var t=0;tx.distance)continue;for(var u=0;u 1.0) {\n discard;\n }\n baseColor = mix(borderColor, color, step(radius, centerFraction));\n gl_FragColor = vec4(baseColor.rgb * baseColor.a, baseColor.a);\n }\n}\n"]),e.pickVertex=n(["precision mediump float;\n#define GLSLIFY 1\n\nattribute vec2 position;\nattribute vec4 pickId;\n\nuniform mat3 matrix;\nuniform float pointSize;\nuniform vec4 pickOffset;\n\nvarying vec4 fragId;\n\nvoid main() {\n vec3 hgPosition = matrix * vec3(position, 1);\n gl_Position = vec4(hgPosition.xy, 0, hgPosition.z);\n gl_PointSize = pointSize;\n\n vec4 id = pickId + pickOffset;\n id.y += floor(id.x / 256.0);\n id.x -= floor(id.x / 256.0) * 256.0;\n\n id.z += floor(id.y / 256.0);\n id.y -= floor(id.y / 256.0) * 256.0;\n\n id.w += floor(id.z / 256.0);\n id.z -= floor(id.z / 256.0) * 256.0;\n\n fragId = id;\n}\n"]),e.pickFragment=n(["precision mediump float;\n#define GLSLIFY 1\n\nvarying vec4 fragId;\n\nvoid main() {\n float radius = length(2.0 * gl_PointCoord.xy - 1.0);\n if(radius > 1.0) {\n discard;\n }\n gl_FragColor = fragId / 255.0;\n}\n"])},8271:function(t,e,r){"use strict";var n=r(5158),i=r(5827),a=r(5306),o=r(8023);function s(t,e,r,n,i){this.plot=t,this.offsetBuffer=e,this.pickBuffer=r,this.shader=n,this.pickShader=i,this.sizeMin=.5,this.sizeMinCap=2,this.sizeMax=20,this.areaRatio=1,this.pointCount=0,this.color=[1,0,0,1],this.borderColor=[0,0,0,1],this.blend=!1,this.pickOffset=0,this.points=null}t.exports=function(t,e){var r=t.gl,a=new s(t,i(r),i(r),n(r,o.pointVertex,o.pointFragment),n(r,o.pickVertex,o.pickFragment));return a.update(e),t.addObject(a),a};var l,u,c=s.prototype;c.dispose=function(){this.shader.dispose(),this.pickShader.dispose(),this.offsetBuffer.dispose(),this.pickBuffer.dispose(),this.plot.removeObject(this)},c.update=function(t){var e;function r(e,r){return e in t?t[e]:r}t=t||{},this.sizeMin=r("sizeMin",.5),this.sizeMax=r("sizeMax",20),this.color=r("color",[1,0,0,1]).slice(),this.areaRatio=r("areaRatio",1),this.borderColor=r("borderColor",[0,0,0,1]).slice(),this.blend=r("blend",!1);var n=t.positions.length>>>1,i=t.positions instanceof Float32Array,o=t.idToIndex instanceof Int32Array&&t.idToIndex.length>=n,s=t.positions,l=i?s:a.mallocFloat32(s.length),u=o?t.idToIndex:a.mallocInt32(n);if(i||l.set(s),!o)for(l.set(s),e=0;e>>1;for(r=0;r=e[0]&&a<=e[2]&&o>=e[1]&&o<=e[3]&&n++}return n}(this.points,i),c=this.plot.pickPixelRatio*Math.max(Math.min(this.sizeMinCap,this.sizeMin),Math.min(this.sizeMax,this.sizeMax/Math.pow(s,.33333)));l[0]=2/a,l[4]=2/o,l[6]=-2*i[0]/a-1,l[7]=-2*i[1]/o-1,this.offsetBuffer.bind(),r.bind(),r.attributes.position.pointer(),r.uniforms.matrix=l,r.uniforms.color=this.color,r.uniforms.borderColor=this.borderColor,r.uniforms.pointCloud=c<5,r.uniforms.pointSize=c,r.uniforms.centerFraction=Math.min(1,Math.max(0,Math.sqrt(1-this.areaRatio))),e&&(u[0]=255&t,u[1]=t>>8&255,u[2]=t>>16&255,u[3]=t>>24&255,this.pickBuffer.bind(),r.attributes.pickId.pointer(n.UNSIGNED_BYTE),r.uniforms.pickOffset=u,this.pickOffset=t);var f=n.getParameter(n.BLEND),h=n.getParameter(n.DITHER);return f&&!this.blend&&n.disable(n.BLEND),h&&n.disable(n.DITHER),n.drawArrays(n.POINTS,0,this.pointCount),f&&!this.blend&&n.enable(n.BLEND),h&&n.enable(n.DITHER),t+this.pointCount}),c.draw=c.unifiedDraw,c.drawPick=c.unifiedDraw,c.pick=function(t,e,r){var n=this.pickOffset,i=this.pointCount;if(r=n+i)return null;var a=r-n,o=this.points;return{object:this,pointId:a,dataCoord:[o[2*a],o[2*a+1]]}}},6093:function(t){t.exports=function(t,e,r,n){var i,a,o,s,l,u=e[0],c=e[1],f=e[2],h=e[3],p=r[0],d=r[1],v=r[2],g=r[3];return(a=u*p+c*d+f*v+h*g)<0&&(a=-a,p=-p,d=-d,v=-v,g=-g),1-a>1e-6?(i=Math.acos(a),o=Math.sin(i),s=Math.sin((1-n)*i)/o,l=Math.sin(n*i)/o):(s=1-n,l=n),t[0]=s*u+l*p,t[1]=s*c+l*d,t[2]=s*f+l*v,t[3]=s*h+l*g,t}},8240:function(t){"use strict";t.exports=function(t){return t||0===t?t.toString():""}},4123:function(t,e,r){"use strict";var n=r(875);t.exports=function(t,e,r){var a=i[e];if(a||(a=i[e]={}),t in a)return a[t];var o={textAlign:"center",textBaseline:"middle",lineHeight:1,font:e,lineSpacing:1.25,styletags:{breaklines:!0,bolds:!0,italics:!0,subscripts:!0,superscripts:!0},triangles:!0},s=n(t,o);o.triangles=!1;var l,u,c=n(t,o);if(r&&1!==r){for(l=0;l max(a, b)) || \n (p < min(a, b)));\n}\n\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\n return (outOfRange(a.x, b.x, p.x) ||\n outOfRange(a.y, b.y, p.y));\n}\n\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\n return (outOfRange(a.x, b.x, p.x) ||\n outOfRange(a.y, b.y, p.y) ||\n outOfRange(a.z, b.z, p.z));\n}\n\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\n return outOfRange(a.xyz, b.xyz, p.xyz);\n}\n\nattribute vec3 position;\nattribute vec4 color;\nattribute vec2 glyph;\nattribute vec4 id;\n\nuniform vec4 highlightId;\nuniform float highlightScale;\nuniform mat4 model, view, projection;\nuniform vec3 clipBounds[2];\n\nvarying vec4 interpColor;\nvarying vec4 pickId;\nvarying vec3 dataCoordinate;\n\nvoid main() {\n if (outOfRange(clipBounds[0], clipBounds[1], position)) {\n\n gl_Position = vec4(0,0,0,0);\n } else {\n float scale = 1.0;\n if(distance(highlightId, id) < 0.0001) {\n scale = highlightScale;\n }\n\n vec4 worldPosition = model * vec4(position, 1);\n vec4 viewPosition = view * worldPosition;\n viewPosition = viewPosition / viewPosition.w;\n vec4 clipPosition = projection * (viewPosition + scale * vec4(glyph.x, -glyph.y, 0, 0));\n\n gl_Position = clipPosition;\n interpColor = color;\n pickId = id;\n dataCoordinate = position;\n }\n}"]),o=i(["precision highp float;\n#define GLSLIFY 1\n\nbool outOfRange(float a, float b, float p) {\n return ((p > max(a, b)) || \n (p < min(a, b)));\n}\n\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\n return (outOfRange(a.x, b.x, p.x) ||\n outOfRange(a.y, b.y, p.y));\n}\n\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\n return (outOfRange(a.x, b.x, p.x) ||\n outOfRange(a.y, b.y, p.y) ||\n outOfRange(a.z, b.z, p.z));\n}\n\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\n return outOfRange(a.xyz, b.xyz, p.xyz);\n}\n\nattribute vec3 position;\nattribute vec4 color;\nattribute vec2 glyph;\nattribute vec4 id;\n\nuniform mat4 model, view, projection;\nuniform vec2 screenSize;\nuniform vec3 clipBounds[2];\nuniform float highlightScale, pixelRatio;\nuniform vec4 highlightId;\n\nvarying vec4 interpColor;\nvarying vec4 pickId;\nvarying vec3 dataCoordinate;\n\nvoid main() {\n if (outOfRange(clipBounds[0], clipBounds[1], position)) {\n\n gl_Position = vec4(0,0,0,0);\n } else {\n float scale = pixelRatio;\n if(distance(highlightId.bgr, id.bgr) < 0.001) {\n scale *= highlightScale;\n }\n\n vec4 worldPosition = model * vec4(position, 1.0);\n vec4 viewPosition = view * worldPosition;\n vec4 clipPosition = projection * viewPosition;\n clipPosition /= clipPosition.w;\n\n gl_Position = clipPosition + vec4(screenSize * scale * vec2(glyph.x, -glyph.y), 0.0, 0.0);\n interpColor = color;\n pickId = id;\n dataCoordinate = position;\n }\n}"]),s=i(["precision highp float;\n#define GLSLIFY 1\n\nbool outOfRange(float a, float b, float p) {\n return ((p > max(a, b)) || \n (p < min(a, b)));\n}\n\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\n return (outOfRange(a.x, b.x, p.x) ||\n outOfRange(a.y, b.y, p.y));\n}\n\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\n return (outOfRange(a.x, b.x, p.x) ||\n outOfRange(a.y, b.y, p.y) ||\n outOfRange(a.z, b.z, p.z));\n}\n\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\n return outOfRange(a.xyz, b.xyz, p.xyz);\n}\n\nattribute vec3 position;\nattribute vec4 color;\nattribute vec2 glyph;\nattribute vec4 id;\n\nuniform float highlightScale;\nuniform vec4 highlightId;\nuniform vec3 axes[2];\nuniform mat4 model, view, projection;\nuniform vec2 screenSize;\nuniform vec3 clipBounds[2];\nuniform float scale, pixelRatio;\n\nvarying vec4 interpColor;\nvarying vec4 pickId;\nvarying vec3 dataCoordinate;\n\nvoid main() {\n if (outOfRange(clipBounds[0], clipBounds[1], position)) {\n\n gl_Position = vec4(0,0,0,0);\n } else {\n float lscale = pixelRatio * scale;\n if(distance(highlightId, id) < 0.0001) {\n lscale *= highlightScale;\n }\n\n vec4 clipCenter = projection * view * model * vec4(position, 1);\n vec3 dataPosition = position + 0.5*lscale*(axes[0] * glyph.x + axes[1] * glyph.y) * clipCenter.w * screenSize.y;\n vec4 clipPosition = projection * view * model * vec4(dataPosition, 1);\n\n gl_Position = clipPosition;\n interpColor = color;\n pickId = id;\n dataCoordinate = dataPosition;\n }\n}\n"]),l=i(["precision highp float;\n#define GLSLIFY 1\n\nbool outOfRange(float a, float b, float p) {\n return ((p > max(a, b)) || \n (p < min(a, b)));\n}\n\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\n return (outOfRange(a.x, b.x, p.x) ||\n outOfRange(a.y, b.y, p.y));\n}\n\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\n return (outOfRange(a.x, b.x, p.x) ||\n outOfRange(a.y, b.y, p.y) ||\n outOfRange(a.z, b.z, p.z));\n}\n\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\n return outOfRange(a.xyz, b.xyz, p.xyz);\n}\n\nuniform vec3 fragClipBounds[2];\nuniform float opacity;\n\nvarying vec4 interpColor;\nvarying vec3 dataCoordinate;\n\nvoid main() {\n if (\n outOfRange(fragClipBounds[0], fragClipBounds[1], dataCoordinate) ||\n interpColor.a * opacity == 0.\n ) discard;\n gl_FragColor = interpColor * opacity;\n}\n"]),u=i(["precision highp float;\n#define GLSLIFY 1\n\nbool outOfRange(float a, float b, float p) {\n return ((p > max(a, b)) || \n (p < min(a, b)));\n}\n\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\n return (outOfRange(a.x, b.x, p.x) ||\n outOfRange(a.y, b.y, p.y));\n}\n\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\n return (outOfRange(a.x, b.x, p.x) ||\n outOfRange(a.y, b.y, p.y) ||\n outOfRange(a.z, b.z, p.z));\n}\n\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\n return outOfRange(a.xyz, b.xyz, p.xyz);\n}\n\nuniform vec3 fragClipBounds[2];\nuniform float pickGroup;\n\nvarying vec4 pickId;\nvarying vec3 dataCoordinate;\n\nvoid main() {\n if (outOfRange(fragClipBounds[0], fragClipBounds[1], dataCoordinate)) discard;\n\n gl_FragColor = vec4(pickGroup, pickId.bgr);\n}"]),c=[{name:"position",type:"vec3"},{name:"color",type:"vec4"},{name:"glyph",type:"vec2"},{name:"id",type:"vec4"}],f={vertex:a,fragment:l,attributes:c},h={vertex:o,fragment:l,attributes:c},p={vertex:s,fragment:l,attributes:c},d={vertex:a,fragment:u,attributes:c},v={vertex:o,fragment:u,attributes:c},g={vertex:s,fragment:u,attributes:c};function y(t,e){var r=n(t,e),i=r.attributes;return i.position.location=0,i.color.location=1,i.glyph.location=2,i.id.location=3,r}e.createPerspective=function(t){return y(t,f)},e.createOrtho=function(t){return y(t,h)},e.createProject=function(t){return y(t,p)},e.createPickPerspective=function(t){return y(t,d)},e.createPickOrtho=function(t){return y(t,v)},e.createPickProject=function(t){return y(t,g)}},2182:function(t,e,r){"use strict";var n=r(3596),i=r(5827),a=r(2944),o=r(5306),s=r(104),l=r(9282),u=r(4123),c=r(8240),f=[1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1];function h(t,e){var r=t[0],n=t[1],i=t[2],a=t[3];return t[0]=e[0]*r+e[4]*n+e[8]*i+e[12]*a,t[1]=e[1]*r+e[5]*n+e[9]*i+e[13]*a,t[2]=e[2]*r+e[6]*n+e[10]*i+e[14]*a,t[3]=e[3]*r+e[7]*n+e[11]*i+e[15]*a,t}function p(t,e,r,n){return h(n,n),h(n,n),h(n,n)}function d(t,e){this.index=t,this.dataCoordinate=this.position=e}function v(t){return!0===t||t>1?1:t}function g(t,e,r,n,i,a,o,s,l,u,c,f){this.gl=t,this.pixelRatio=1,this.shader=e,this.orthoShader=r,this.projectShader=n,this.pointBuffer=i,this.colorBuffer=a,this.glyphBuffer=o,this.idBuffer=s,this.vao=l,this.vertexCount=0,this.lineVertexCount=0,this.opacity=1,this.hasAlpha=!1,this.lineWidth=0,this.projectScale=[2/3,2/3,2/3],this.projectOpacity=[1,1,1],this.projectHasAlpha=!1,this.pickId=0,this.pickPerspectiveShader=u,this.pickOrthoShader=c,this.pickProjectShader=f,this.points=[],this._selectResult=new d(0,[0,0,0]),this.useOrtho=!0,this.bounds=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]],this.axesProject=[!0,!0,!0],this.axesBounds=[[-1/0,-1/0,-1/0],[1/0,1/0,1/0]],this.highlightId=[1,1,1,1],this.highlightScale=2,this.clipBounds=[[-1/0,-1/0,-1/0],[1/0,1/0,1/0]],this.dirty=!0}t.exports=function(t){var e=t.gl,r=l.createPerspective(e),n=l.createOrtho(e),o=l.createProject(e),s=l.createPickPerspective(e),u=l.createPickOrtho(e),c=l.createPickProject(e),f=i(e),h=i(e),p=i(e),d=i(e),v=new g(e,r,n,o,f,h,p,d,a(e,[{buffer:f,size:3,type:e.FLOAT},{buffer:h,size:4,type:e.FLOAT},{buffer:p,size:2,type:e.FLOAT},{buffer:d,size:4,type:e.UNSIGNED_BYTE,normalized:!0}]),s,u,c);return v.update(t),v};var y=g.prototype;y.pickSlots=1,y.setPickBase=function(t){this.pickId=t},y.isTransparent=function(){if(this.hasAlpha)return!0;for(var t=0;t<3;++t)if(this.axesProject[t]&&this.projectHasAlpha)return!0;return!1},y.isOpaque=function(){if(!this.hasAlpha)return!0;for(var t=0;t<3;++t)if(this.axesProject[t]&&!this.projectHasAlpha)return!0;return!1};var m=[0,0],x=[0,0,0],b=[0,0,0],_=[0,0,0,1],w=[0,0,0,1],T=f.slice(),k=[0,0,0],A=[[0,0,0],[0,0,0]];function M(t){return t[0]=t[1]=t[2]=0,t}function S(t,e){return t[0]=e[0],t[1]=e[1],t[2]=e[2],t[3]=1,t}function E(t,e,r,n){return t[0]=e[0],t[1]=e[1],t[2]=e[2],t[r]=n,t}var L=[[-1e8,-1e8,-1e8],[1e8,1e8,1e8]];function C(t,e,r,n,i,a,o){var l=r.gl;if((a===r.projectHasAlpha||o)&&function(t,e,r,n){var i,a=e.axesProject,o=e.gl,l=t.uniforms,u=r.model||f,c=r.view||f,h=r.projection||f,d=e.axesBounds,v=function(t){for(var e=A,r=0;r<2;++r)for(var n=0;n<3;++n)e[r][n]=Math.max(Math.min(t[r][n],1e8),-1e8);return e}(e.clipBounds);i=e.axes&&e.axes.lastCubeProps?e.axes.lastCubeProps.axis:[1,1,1],m[0]=2/o.drawingBufferWidth,m[1]=2/o.drawingBufferHeight,t.bind(),l.view=c,l.projection=h,l.screenSize=m,l.highlightId=e.highlightId,l.highlightScale=e.highlightScale,l.clipBounds=v,l.pickGroup=e.pickId/255,l.pixelRatio=n;for(var g=0;g<3;++g)if(a[g]){l.scale=e.projectScale[g],l.opacity=e.projectOpacity[g];for(var y=T,L=0;L<16;++L)y[L]=0;for(L=0;L<4;++L)y[5*L]=1;y[5*g]=0,i[g]<0?y[12+g]=d[0][g]:y[12+g]=d[1][g],s(y,u,y),l.model=y;var C=(g+1)%3,P=(g+2)%3,O=M(x),I=M(b);O[C]=1,I[P]=1;var D=p(0,0,0,S(_,O)),z=p(0,0,0,S(w,I));if(Math.abs(D[1])>Math.abs(z[1])){var R=D;D=z,z=R,R=O,O=I,I=R;var F=C;C=P,P=F}D[0]<0&&(O[C]=-1),z[1]>0&&(I[P]=-1);var B=0,N=0;for(L=0;L<4;++L)B+=Math.pow(u[4*C+L],2),N+=Math.pow(u[4*P+L],2);O[C]/=Math.sqrt(B),I[P]/=Math.sqrt(N),l.axes[0]=O,l.axes[1]=I,l.fragClipBounds[0]=E(k,v[0],g,-1e8),l.fragClipBounds[1]=E(k,v[1],g,1e8),e.vao.bind(),e.vao.draw(o.TRIANGLES,e.vertexCount),e.lineWidth>0&&(o.lineWidth(e.lineWidth*n),e.vao.draw(o.LINES,e.lineVertexCount,e.vertexCount)),e.vao.unbind()}}(e,r,n,i),a===r.hasAlpha||o){t.bind();var u=t.uniforms;u.model=n.model||f,u.view=n.view||f,u.projection=n.projection||f,m[0]=2/l.drawingBufferWidth,m[1]=2/l.drawingBufferHeight,u.screenSize=m,u.highlightId=r.highlightId,u.highlightScale=r.highlightScale,u.fragClipBounds=L,u.clipBounds=r.axes.bounds,u.opacity=r.opacity,u.pickGroup=r.pickId/255,u.pixelRatio=i,r.vao.bind(),r.vao.draw(l.TRIANGLES,r.vertexCount),r.lineWidth>0&&(l.lineWidth(r.lineWidth*i),r.vao.draw(l.LINES,r.lineVertexCount,r.vertexCount)),r.vao.unbind()}}function P(t,e,r,i){var a;a=Array.isArray(t)?e=this.pointCount||e<0)return null;var r=this.points[e],n=this._selectResult;n.index=e;for(var i=0;i<3;++i)n.position[i]=n.dataCoordinate[i]=r[i];return n},y.highlight=function(t){if(t){var e=t.index,r=255&e,n=e>>8&255,i=e>>16&255;this.highlightId=[r/255,n/255,i/255,0]}else this.highlightId=[1,1,1,1]},y.update=function(t){if("perspective"in(t=t||{})&&(this.useOrtho=!t.perspective),"orthographic"in t&&(this.useOrtho=!!t.orthographic),"lineWidth"in t&&(this.lineWidth=t.lineWidth),"project"in t)if(Array.isArray(t.project))this.axesProject=t.project;else{var e=!!t.project;this.axesProject=[e,e,e]}if("projectScale"in t)if(Array.isArray(t.projectScale))this.projectScale=t.projectScale.slice();else{var r=+t.projectScale;this.projectScale=[r,r,r]}if(this.projectHasAlpha=!1,"projectOpacity"in t){Array.isArray(t.projectOpacity)?this.projectOpacity=t.projectOpacity.slice():(r=+t.projectOpacity,this.projectOpacity=[r,r,r]);for(var n=0;n<3;++n)this.projectOpacity[n]=v(this.projectOpacity[n]),this.projectOpacity[n]<1&&(this.projectHasAlpha=!0)}this.hasAlpha=!1,"opacity"in t&&(this.opacity=v(t.opacity),this.opacity<1&&(this.hasAlpha=!0)),this.dirty=!0;var i,a,s=t.position,l=t.font||"normal",u=t.alignment||[0,0];if(2===u.length)i=u[0],a=u[1];else for(i=[],a=[],n=0;n0){var I=0,D=x,z=[0,0,0,1],R=[0,0,0,1],F=Array.isArray(p)&&Array.isArray(p[0]),B=Array.isArray(y)&&Array.isArray(y[0]);t:for(n=0;n<_;++n){for(m+=1,w=s[n],T=0;T<3;++T){if(isNaN(w[T])||!isFinite(w[T]))continue t;f[T]=Math.max(f[T],w[T]),c[T]=Math.min(c[T],w[T])}k=(N=P(h,n,l,this.pixelRatio)).mesh,A=N.lines,M=N.bounds;var N,j=N.visible;if(j)if(Array.isArray(p)){if(3===(U=F?n0?1-M[0][0]:W<0?1+M[1][0]:1,Y*=Y>0?1-M[0][1]:Y<0?1+M[1][1]:1],Z=k.cells||[],K=k.positions||[];for(T=0;T0){var y=r*c;o.drawBox(f-y,h-y,p+y,h+y,a),o.drawBox(f-y,d-y,p+y,d+y,a),o.drawBox(f-y,h-y,f+y,d+y,a),o.drawBox(p-y,h-y,p+y,d+y,a)}}}},s.update=function(t){t=t||{},this.innerFill=!!t.innerFill,this.outerFill=!!t.outerFill,this.innerColor=(t.innerColor||[0,0,0,.5]).slice(),this.outerColor=(t.outerColor||[0,0,0,.5]).slice(),this.borderColor=(t.borderColor||[0,0,0,1]).slice(),this.borderWidth=t.borderWidth||0,this.selectBox=(t.selectBox||this.selectBox).slice()},s.dispose=function(){this.boxBuffer.dispose(),this.boxShader.dispose(),this.plot.removeOverlay(this)}},2611:function(t,e,r){"use strict";t.exports=function(t,e){var r=e[0],a=e[1];return new l(t,n(t,r,a,{}),i.mallocUint8(r*a*4))};var n=r(4234),i=r(5306),a=r(5050),o=r(2288).nextPow2;function s(t,e,r,n,i){this.coord=[t,e],this.id=r,this.value=n,this.distance=i}function l(t,e,r){this.gl=t,this.fbo=e,this.buffer=r,this._readTimeout=null;var n=this;this._readCallback=function(){n.gl&&(e.bind(),t.readPixels(0,0,e.shape[0],e.shape[1],t.RGBA,t.UNSIGNED_BYTE,n.buffer),n._readTimeout=null)}}var u=l.prototype;Object.defineProperty(u,"shape",{get:function(){return this.gl?this.fbo.shape.slice():[0,0]},set:function(t){if(this.gl){this.fbo.shape=t;var e=this.fbo.shape[0],r=this.fbo.shape[1];if(r*e*4>this.buffer.length){i.free(this.buffer);for(var n=this.buffer=i.mallocUint8(o(r*e*4)),a=0;ar)for(t=r;te)for(t=e;t=0){for(var T=0|w.type.charAt(w.type.length-1),k=new Array(T),A=0;A=0;)M+=1;_[m]=M}var S=new Array(r.length);function E(){h.program=o.program(p,h._vref,h._fref,b,_);for(var t=0;t=0){if((d=h.charCodeAt(h.length-1)-48)<2||d>4)throw new n("","Invalid data type for attribute "+f+": "+h);s(t,e,p[0],i,d,a,f)}else{if(!(h.indexOf("mat")>=0))throw new n("","Unknown data type for attribute "+f+": "+h);var d;if((d=h.charCodeAt(h.length-1)-48)<2||d>4)throw new n("","Invalid data type for attribute "+f+": "+h);l(t,e,p,i,d,a,f)}}}return a};var n=r(9068);function i(t,e,r,n,i,a){this._gl=t,this._wrapper=e,this._index=r,this._locations=n,this._dimension=i,this._constFunc=a}var a=i.prototype;a.pointer=function(t,e,r,n){var i=this,a=i._gl,o=i._locations[i._index];a.vertexAttribPointer(o,i._dimension,t||a.FLOAT,!!e,r||0,n||0),a.enableVertexAttribArray(o)},a.set=function(t,e,r,n){return this._constFunc(this._locations[this._index],t,e,r,n)},Object.defineProperty(a,"location",{get:function(){return this._locations[this._index]},set:function(t){return t!==this._locations[this._index]&&(this._locations[this._index]=0|t,this._wrapper.program=null),0|t}});var o=[function(t,e,r){return void 0===r.length?t.vertexAttrib1f(e,r):t.vertexAttrib1fv(e,r)},function(t,e,r,n){return void 0===r.length?t.vertexAttrib2f(e,r,n):t.vertexAttrib2fv(e,r)},function(t,e,r,n,i){return void 0===r.length?t.vertexAttrib3f(e,r,n,i):t.vertexAttrib3fv(e,r)},function(t,e,r,n,i,a){return void 0===r.length?t.vertexAttrib4f(e,r,n,i,a):t.vertexAttrib4fv(e,r)}];function s(t,e,r,n,a,s,l){var u=o[a],c=new i(t,e,r,n,a,u);Object.defineProperty(s,l,{set:function(e){return t.disableVertexAttribArray(n[r]),u(t,n[r],e),e},get:function(){return c},enumerable:!0})}function l(t,e,r,n,i,a,o){for(var l=new Array(i),u=new Array(i),c=0;c4)throw new i("","Invalid uniform dimension type for matrix "+name+": "+m);t["uniformMatrix"+y+"fv"](s[f],!1,h);break}throw new i("","Unknown uniform data type for "+name+": "+m)}if((y=m.charCodeAt(m.length-1)-48)<2||y>4)throw new i("","Invalid data type");switch(m.charAt(0)){case"b":case"i":t["uniform"+y+"iv"](s[f],h);break;case"v":t["uniform"+y+"fv"](s[f],h);break;default:throw new i("","Unrecognized data type for vector "+name+": "+m)}}}}}}function u(t,e){if("object"!=typeof e)return[[t,e]];var r=[];for(var n in e){var i=e[n],a=t;parseInt(n)+""===n?a+="["+n+"]":a+="."+n,"object"==typeof i?r.push.apply(r,u(a,i)):r.push([a,i])}return r}function c(t,e,n){if("object"==typeof n){var u=f(n);Object.defineProperty(t,e,{get:a(u),set:l(n),enumerable:!0,configurable:!1})}else s[n]?Object.defineProperty(t,e,{get:(c=n,function(t,e,r){return t.getUniform(e.program,r[c])}),set:l(n),enumerable:!0,configurable:!1}):t[e]=function(t){switch(t){case"bool":return!1;case"int":case"sampler2D":case"samplerCube":case"float":return 0;default:var e=t.indexOf("vec");if(0<=e&&e<=1&&t.length===4+e){if((r=t.charCodeAt(t.length-1)-48)<2||r>4)throw new i("","Invalid data type");return"b"===t.charAt(0)?o(r,!1):o(r,0)}if(0===t.indexOf("mat")&&4===t.length){var r;if((r=t.charCodeAt(t.length-1)-48)<2||r>4)throw new i("","Invalid uniform dimension type for matrix "+name+": "+t);return o(r*r,0)}throw new i("","Unknown uniform data type for "+name+": "+t)}}(r[n].type);var c}function f(t){var e;if(Array.isArray(t)){e=new Array(t.length);for(var r=0;r1){s[0]in a||(a[s[0]]=[]),a=a[s[0]];for(var l=1;l1)for(var l=0;l 0 U ||b|| > 0.\n // Assign z = 0, x = -b, y = a:\n // a*-b + b*a + c*0 = -ba + ba + 0 = 0\n if (v.x*v.x > v.z*v.z || v.y*v.y > v.z*v.z) {\n return normalize(vec3(-v.y, v.x, 0.0));\n } else {\n return normalize(vec3(0.0, v.z, -v.y));\n }\n}\n\n// Calculate the tube vertex and normal at the given index.\n//\n// The returned vertex is for a tube ring with its center at origin, radius of length(d), pointing in the direction of d.\n//\n// Each tube segment is made up of a ring of vertices.\n// These vertices are used to make up the triangles of the tube by connecting them together in the vertex array.\n// The indexes of tube segments run from 0 to 8.\n//\nvec3 getTubePosition(vec3 d, float index, out vec3 normal) {\n float segmentCount = 8.0;\n\n float angle = 2.0 * 3.14159 * (index / segmentCount);\n\n vec3 u = getOrthogonalVector(d);\n vec3 v = normalize(cross(u, d));\n\n vec3 x = u * cos(angle) * length(d);\n vec3 y = v * sin(angle) * length(d);\n vec3 v3 = x + y;\n\n normal = normalize(v3);\n\n return v3;\n}\n\nattribute vec4 vector;\nattribute vec4 color, position;\nattribute vec2 uv;\n\nuniform float vectorScale, tubeScale;\nuniform mat4 model, view, projection, inverseModel;\nuniform vec3 eyePosition, lightPosition;\n\nvarying vec3 f_normal, f_lightDirection, f_eyeDirection, f_data, f_position;\nvarying vec4 f_color;\nvarying vec2 f_uv;\n\nvoid main() {\n // Scale the vector magnitude to stay constant with\n // model & view changes.\n vec3 normal;\n vec3 XYZ = getTubePosition(mat3(model) * (tubeScale * vector.w * normalize(vector.xyz)), position.w, normal);\n vec4 tubePosition = model * vec4(position.xyz, 1.0) + vec4(XYZ, 0.0);\n\n //Lighting geometry parameters\n vec4 cameraCoordinate = view * tubePosition;\n cameraCoordinate.xyz /= cameraCoordinate.w;\n f_lightDirection = lightPosition - cameraCoordinate.xyz;\n f_eyeDirection = eyePosition - cameraCoordinate.xyz;\n f_normal = normalize((vec4(normal, 0.0) * inverseModel).xyz);\n\n // vec4 m_position = model * vec4(tubePosition, 1.0);\n vec4 t_position = view * tubePosition;\n gl_Position = projection * t_position;\n\n f_color = color;\n f_data = tubePosition.xyz;\n f_position = position.xyz;\n f_uv = uv;\n}\n"]),a=n(["#extension GL_OES_standard_derivatives : enable\n\nprecision highp float;\n#define GLSLIFY 1\n\nfloat beckmannDistribution(float x, float roughness) {\n float NdotH = max(x, 0.0001);\n float cos2Alpha = NdotH * NdotH;\n float tan2Alpha = (cos2Alpha - 1.0) / cos2Alpha;\n float roughness2 = roughness * roughness;\n float denom = 3.141592653589793 * roughness2 * cos2Alpha * cos2Alpha;\n return exp(tan2Alpha / roughness2) / denom;\n}\n\nfloat cookTorranceSpecular(\n vec3 lightDirection,\n vec3 viewDirection,\n vec3 surfaceNormal,\n float roughness,\n float fresnel) {\n\n float VdotN = max(dot(viewDirection, surfaceNormal), 0.0);\n float LdotN = max(dot(lightDirection, surfaceNormal), 0.0);\n\n //Half angle vector\n vec3 H = normalize(lightDirection + viewDirection);\n\n //Geometric term\n float NdotH = max(dot(surfaceNormal, H), 0.0);\n float VdotH = max(dot(viewDirection, H), 0.000001);\n float LdotH = max(dot(lightDirection, H), 0.000001);\n float G1 = (2.0 * NdotH * VdotN) / VdotH;\n float G2 = (2.0 * NdotH * LdotN) / LdotH;\n float G = min(1.0, min(G1, G2));\n \n //Distribution term\n float D = beckmannDistribution(NdotH, roughness);\n\n //Fresnel term\n float F = pow(1.0 - VdotN, fresnel);\n\n //Multiply terms and done\n return G * F * D / max(3.14159265 * VdotN, 0.000001);\n}\n\nbool outOfRange(float a, float b, float p) {\n return ((p > max(a, b)) || \n (p < min(a, b)));\n}\n\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\n return (outOfRange(a.x, b.x, p.x) ||\n outOfRange(a.y, b.y, p.y));\n}\n\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\n return (outOfRange(a.x, b.x, p.x) ||\n outOfRange(a.y, b.y, p.y) ||\n outOfRange(a.z, b.z, p.z));\n}\n\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\n return outOfRange(a.xyz, b.xyz, p.xyz);\n}\n\nuniform vec3 clipBounds[2];\nuniform float roughness, fresnel, kambient, kdiffuse, kspecular, opacity;\nuniform sampler2D texture;\n\nvarying vec3 f_normal, f_lightDirection, f_eyeDirection, f_data, f_position;\nvarying vec4 f_color;\nvarying vec2 f_uv;\n\nvoid main() {\n if (outOfRange(clipBounds[0], clipBounds[1], f_position)) discard;\n vec3 N = normalize(f_normal);\n vec3 L = normalize(f_lightDirection);\n vec3 V = normalize(f_eyeDirection);\n\n if(gl_FrontFacing) {\n N = -N;\n }\n\n float specular = min(1.0, max(0.0, cookTorranceSpecular(L, V, N, roughness, fresnel)));\n float diffuse = min(kambient + kdiffuse * max(dot(N, L), 0.0), 1.0);\n\n vec4 surfaceColor = f_color * texture2D(texture, f_uv);\n vec4 litColor = surfaceColor.a * vec4(diffuse * surfaceColor.rgb + kspecular * vec3(1,1,1) * specular, 1.0);\n\n gl_FragColor = litColor * opacity;\n}\n"]),o=n(["precision highp float;\n\nprecision highp float;\n#define GLSLIFY 1\n\nvec3 getOrthogonalVector(vec3 v) {\n // Return up-vector for only-z vector.\n // Return ax + by + cz = 0, a point that lies on the plane that has v as a normal and that isn't (0,0,0).\n // From the above if-statement we have ||a|| > 0 U ||b|| > 0.\n // Assign z = 0, x = -b, y = a:\n // a*-b + b*a + c*0 = -ba + ba + 0 = 0\n if (v.x*v.x > v.z*v.z || v.y*v.y > v.z*v.z) {\n return normalize(vec3(-v.y, v.x, 0.0));\n } else {\n return normalize(vec3(0.0, v.z, -v.y));\n }\n}\n\n// Calculate the tube vertex and normal at the given index.\n//\n// The returned vertex is for a tube ring with its center at origin, radius of length(d), pointing in the direction of d.\n//\n// Each tube segment is made up of a ring of vertices.\n// These vertices are used to make up the triangles of the tube by connecting them together in the vertex array.\n// The indexes of tube segments run from 0 to 8.\n//\nvec3 getTubePosition(vec3 d, float index, out vec3 normal) {\n float segmentCount = 8.0;\n\n float angle = 2.0 * 3.14159 * (index / segmentCount);\n\n vec3 u = getOrthogonalVector(d);\n vec3 v = normalize(cross(u, d));\n\n vec3 x = u * cos(angle) * length(d);\n vec3 y = v * sin(angle) * length(d);\n vec3 v3 = x + y;\n\n normal = normalize(v3);\n\n return v3;\n}\n\nattribute vec4 vector;\nattribute vec4 position;\nattribute vec4 id;\n\nuniform mat4 model, view, projection;\nuniform float tubeScale;\n\nvarying vec3 f_position;\nvarying vec4 f_id;\n\nvoid main() {\n vec3 normal;\n vec3 XYZ = getTubePosition(mat3(model) * (tubeScale * vector.w * normalize(vector.xyz)), position.w, normal);\n vec4 tubePosition = model * vec4(position.xyz, 1.0) + vec4(XYZ, 0.0);\n\n gl_Position = projection * view * tubePosition;\n f_id = id;\n f_position = position.xyz;\n}\n"]),s=n(["precision highp float;\n#define GLSLIFY 1\n\nbool outOfRange(float a, float b, float p) {\n return ((p > max(a, b)) || \n (p < min(a, b)));\n}\n\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\n return (outOfRange(a.x, b.x, p.x) ||\n outOfRange(a.y, b.y, p.y));\n}\n\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\n return (outOfRange(a.x, b.x, p.x) ||\n outOfRange(a.y, b.y, p.y) ||\n outOfRange(a.z, b.z, p.z));\n}\n\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\n return outOfRange(a.xyz, b.xyz, p.xyz);\n}\n\nuniform vec3 clipBounds[2];\nuniform float pickId;\n\nvarying vec3 f_position;\nvarying vec4 f_id;\n\nvoid main() {\n if (outOfRange(clipBounds[0], clipBounds[1], f_position)) discard;\n\n gl_FragColor = vec4(pickId, f_id.xyz);\n}"]);e.meshShader={vertex:i,fragment:a,attributes:[{name:"position",type:"vec4"},{name:"color",type:"vec4"},{name:"uv",type:"vec2"},{name:"vector",type:"vec4"}]},e.pickShader={vertex:o,fragment:s,attributes:[{name:"position",type:"vec4"},{name:"id",type:"vec4"},{name:"vector",type:"vec4"}]}},7307:function(t,e,r){"use strict";var n=r(2858),i=r(4020),a=["xyz","xzy","yxz","yzx","zxy","zyx"],o=function(t,e){var r,n=t.length;for(r=0;re)return r-1}return r},s=function(t,e,r){return tr?r:t},l=function(t){var e=1/0;t.sort((function(t,e){return t-e}));for(var r=t.length,n=1;nf-1||m>h-1||x>p-1)return n.create();var b,_,w,T,k,A,M=a[0][d],S=a[0][y],E=a[1][v],L=a[1][m],C=a[2][g],P=(l-M)/(S-M),O=(u-E)/(L-E),I=(c-C)/(a[2][x]-C);switch(isFinite(P)||(P=.5),isFinite(O)||(O=.5),isFinite(I)||(I=.5),r.reversedX&&(d=f-1-d,y=f-1-y),r.reversedY&&(v=h-1-v,m=h-1-m),r.reversedZ&&(g=p-1-g,x=p-1-x),r.filled){case 5:k=g,A=x,w=v*p,T=m*p,b=d*p*h,_=y*p*h;break;case 4:k=g,A=x,b=d*p,_=y*p,w=v*p*f,T=m*p*f;break;case 3:w=v,T=m,k=g*h,A=x*h,b=d*h*p,_=y*h*p;break;case 2:w=v,T=m,b=d*h,_=y*h,k=g*h*f,A=x*h*f;break;case 1:b=d,_=y,k=g*f,A=x*f,w=v*f*p,T=m*f*p;break;default:b=d,_=y,w=v*f,T=m*f,k=g*f*h,A=x*f*h}var D=i[b+w+k],z=i[b+w+A],R=i[b+T+k],F=i[b+T+A],B=i[_+w+k],N=i[_+w+A],j=i[_+T+k],U=i[_+T+A],V=n.create(),q=n.create(),H=n.create(),G=n.create();n.lerp(V,D,B,P),n.lerp(q,z,N,P),n.lerp(H,R,j,P),n.lerp(G,F,U,P);var W=n.create(),Y=n.create();n.lerp(W,V,H,O),n.lerp(Y,q,G,O);var X=n.create();return n.lerp(X,W,Y,I),X}(e,t,p)},v=t.getDivergence||function(t,e){var r=n.create(),i=1e-4;n.add(r,t,[i,0,0]);var a=d(r);n.subtract(a,a,e),n.scale(a,a,1/i),n.add(r,t,[0,i,0]);var o=d(r);n.subtract(o,o,e),n.scale(o,o,1/i),n.add(r,t,[0,0,i]);var s=d(r);return n.subtract(s,s,e),n.scale(s,s,1/i),n.add(r,a,o),n.add(r,r,s),r},g=[],y=e[0][0],m=e[0][1],x=e[0][2],b=e[1][0],_=e[1][1],w=e[1][2],T=function(t){var e=t[0],r=t[1],n=t[2];return!(eb||r_||nw)},k=10*n.distance(e[0],e[1])/u,A=k*k,M=1,S=0,E=r.length;E>1&&(M=function(t){for(var e=[],r=[],n=[],i={},a={},o={},s=t.length,u=0;uS&&(S=F),z.push(F),g.push({points:P,velocities:O,divergences:z});for(var B=0;B<100*u&&P.lengthA&&n.scale(N,N,k/Math.sqrt(j)),n.add(N,N,C),I=d(N),n.squaredDistance(D,N)-A>-1e-4*A&&(P.push(N),D=N,O.push(I),R=v(N,I),F=n.length(R),isFinite(F)&&F>S&&(S=F),z.push(F)),C=N}}var U=function(t,e,r,a){for(var o=0,s=0;s0)for(T=0;T<8;T++){var k=(T+1)%8;u.push(h[T],p[T],p[k],p[k],h[k],h[T]),f.push(m,y,y,y,m,m),d.push(v,g,g,g,v,v);var A=u.length;c.push([A-6,A-5,A-4],[A-3,A-2,A-1])}var M=h;h=p,p=M;var S=m;m=y,y=S;var E=v;v=g,g=E}return{positions:u,cells:c,vectors:f,vertexIntensity:d}}(t,r,a,o)})),f=[],h=[],p=[],d=[];for(s=0;s max(a, b)) || \n (p < min(a, b)));\n}\n\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\n return (outOfRange(a.x, b.x, p.x) ||\n outOfRange(a.y, b.y, p.y));\n}\n\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\n return (outOfRange(a.x, b.x, p.x) ||\n outOfRange(a.y, b.y, p.y) ||\n outOfRange(a.z, b.z, p.z));\n}\n\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\n return outOfRange(a.xyz, b.xyz, p.xyz);\n}\n\nuniform vec3 lowerBound, upperBound;\nuniform float contourTint;\nuniform vec4 contourColor;\nuniform sampler2D colormap;\nuniform vec3 clipBounds[2];\nuniform float roughness, fresnel, kambient, kdiffuse, kspecular, opacity;\nuniform float vertexColor;\n\nvarying float value, kill;\nvarying vec3 worldCoordinate;\nvarying vec3 lightDirection, eyeDirection, surfaceNormal;\nvarying vec4 vColor;\n\nvoid main() {\n if (\n kill > 0.0 ||\n vColor.a == 0.0 ||\n outOfRange(clipBounds[0], clipBounds[1], worldCoordinate)\n ) discard;\n\n vec3 N = normalize(surfaceNormal);\n vec3 V = normalize(eyeDirection);\n vec3 L = normalize(lightDirection);\n\n if(gl_FrontFacing) {\n N = -N;\n }\n\n float specular = max(beckmannSpecular(L, V, N, roughness), 0.);\n float diffuse = min(kambient + kdiffuse * max(dot(N, L), 0.0), 1.0);\n\n //decide how to interpolate color — in vertex or in fragment\n vec4 surfaceColor =\n step(vertexColor, .5) * texture2D(colormap, vec2(value, value)) +\n step(.5, vertexColor) * vColor;\n\n vec4 litColor = surfaceColor.a * vec4(diffuse * surfaceColor.rgb + kspecular * vec3(1,1,1) * specular, 1.0);\n\n gl_FragColor = mix(litColor, contourColor, contourTint) * opacity;\n}\n"]),s=i(["precision highp float;\n#define GLSLIFY 1\n\nattribute vec4 uv;\nattribute float f;\n\nuniform vec3 objectOffset;\nuniform mat3 permutation;\nuniform mat4 model, view, projection;\nuniform float height, zOffset;\nuniform sampler2D colormap;\n\nvarying float value, kill;\nvarying vec3 worldCoordinate;\nvarying vec2 planeCoordinate;\nvarying vec3 lightDirection, eyeDirection, surfaceNormal;\nvarying vec4 vColor;\n\nvoid main() {\n vec3 dataCoordinate = permutation * vec3(uv.xy, height);\n worldCoordinate = objectOffset + dataCoordinate;\n vec4 worldPosition = model * vec4(worldCoordinate, 1.0);\n\n vec4 clipPosition = projection * view * worldPosition;\n clipPosition.z += zOffset;\n\n gl_Position = clipPosition;\n value = f + objectOffset.z;\n kill = -1.0;\n planeCoordinate = uv.zw;\n\n vColor = texture2D(colormap, vec2(value, value));\n\n //Don't do lighting for contours\n surfaceNormal = vec3(1,0,0);\n eyeDirection = vec3(0,1,0);\n lightDirection = vec3(0,0,1);\n}\n"]),l=i(["precision highp float;\n#define GLSLIFY 1\n\nbool outOfRange(float a, float b, float p) {\n return ((p > max(a, b)) || \n (p < min(a, b)));\n}\n\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\n return (outOfRange(a.x, b.x, p.x) ||\n outOfRange(a.y, b.y, p.y));\n}\n\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\n return (outOfRange(a.x, b.x, p.x) ||\n outOfRange(a.y, b.y, p.y) ||\n outOfRange(a.z, b.z, p.z));\n}\n\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\n return outOfRange(a.xyz, b.xyz, p.xyz);\n}\n\nuniform vec2 shape;\nuniform vec3 clipBounds[2];\nuniform float pickId;\n\nvarying float value, kill;\nvarying vec3 worldCoordinate;\nvarying vec2 planeCoordinate;\nvarying vec3 surfaceNormal;\n\nvec2 splitFloat(float v) {\n float vh = 255.0 * v;\n float upper = floor(vh);\n float lower = fract(vh);\n return vec2(upper / 255.0, floor(lower * 16.0) / 16.0);\n}\n\nvoid main() {\n if ((kill > 0.0) ||\n (outOfRange(clipBounds[0], clipBounds[1], worldCoordinate))) discard;\n\n vec2 ux = splitFloat(planeCoordinate.x / shape.x);\n vec2 uy = splitFloat(planeCoordinate.y / shape.y);\n gl_FragColor = vec4(pickId, ux.x, uy.x, ux.y + (uy.y/16.0));\n}\n"]);e.createShader=function(t){var e=n(t,a,o,null,[{name:"uv",type:"vec4"},{name:"f",type:"vec3"},{name:"normal",type:"vec3"}]);return e.attributes.uv.location=0,e.attributes.f.location=1,e.attributes.normal.location=2,e},e.createPickShader=function(t){var e=n(t,a,l,null,[{name:"uv",type:"vec4"},{name:"f",type:"vec3"},{name:"normal",type:"vec3"}]);return e.attributes.uv.location=0,e.attributes.f.location=1,e.attributes.normal.location=2,e},e.createContourShader=function(t){var e=n(t,s,o,null,[{name:"uv",type:"vec4"},{name:"f",type:"float"}]);return e.attributes.uv.location=0,e.attributes.f.location=1,e},e.createPickContourShader=function(t){var e=n(t,s,l,null,[{name:"uv",type:"vec4"},{name:"f",type:"float"}]);return e.attributes.uv.location=0,e.attributes.f.location=1,e}},3754:function(t,e,r){"use strict";t.exports=function(t){var e=t.gl,r=m(e),n=b(e),s=x(e),l=_(e),u=i(e),c=a(e,[{buffer:u,size:4,stride:w,offset:0},{buffer:u,size:3,stride:w,offset:16},{buffer:u,size:3,stride:w,offset:28}]),f=i(e),h=a(e,[{buffer:f,size:4,stride:20,offset:0},{buffer:f,size:1,stride:20,offset:16}]),p=i(e),d=a(e,[{buffer:p,size:2,type:e.FLOAT}]),v=o(e,1,S,e.RGBA,e.UNSIGNED_BYTE);v.minFilter=e.LINEAR,v.magFilter=e.LINEAR;var g=new E(e,[0,0],[[0,0,0],[0,0,0]],r,n,u,c,v,s,l,f,h,p,d,[0,0,0]),y={levels:[[],[],[]]};for(var T in t)y[T]=t[T];return y.colormap=y.colormap||"jet",g.update(y),g};var n=r(2288),i=r(5827),a=r(2944),o=r(8931),s=r(5306),l=r(9156),u=r(7498),c=r(7382),f=r(5050),h=r(4162),p=r(104),d=r(7437),v=r(5070),g=r(9144),y=r(9054),m=y.createShader,x=y.createContourShader,b=y.createPickShader,_=y.createPickContourShader,w=40,T=[1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1],k=[[0,0],[0,1],[1,0],[1,1],[1,0],[0,1]],A=[[0,0,0,0,0,0,0,0,0],[0,0,0,0,0,0,0,0,0],[0,0,0,0,0,0,0,0,0]];function M(t,e,r,n,i){this.position=t,this.index=e,this.uv=r,this.level=n,this.dataCoordinate=i}!function(){for(var t=0;t<3;++t){var e=A[t],r=(t+2)%3;e[(t+1)%3+0]=1,e[r+3]=1,e[t+6]=1}}();var S=256;function E(t,e,r,n,i,a,o,l,u,c,h,p,d,v,g){this.gl=t,this.shape=e,this.bounds=r,this.objectOffset=g,this.intensityBounds=[],this._shader=n,this._pickShader=i,this._coordinateBuffer=a,this._vao=o,this._colorMap=l,this._contourShader=u,this._contourPickShader=c,this._contourBuffer=h,this._contourVAO=p,this._contourOffsets=[[],[],[]],this._contourCounts=[[],[],[]],this._vertexCount=0,this._pickResult=new M([0,0,0],[0,0],[0,0],[0,0,0],[0,0,0]),this._dynamicBuffer=d,this._dynamicVAO=v,this._dynamicOffsets=[0,0,0],this._dynamicCounts=[0,0,0],this.contourWidth=[1,1,1],this.contourLevels=[[1],[1],[1]],this.contourTint=[0,0,0],this.contourColor=[[.5,.5,.5,1],[.5,.5,.5,1],[.5,.5,.5,1]],this.showContour=!0,this.showSurface=!0,this.enableHighlight=[!0,!0,!0],this.highlightColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.highlightTint=[1,1,1],this.highlightLevel=[-1,-1,-1],this.enableDynamic=[!0,!0,!0],this.dynamicLevel=[NaN,NaN,NaN],this.dynamicColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.dynamicTint=[1,1,1],this.dynamicWidth=[1,1,1],this.axesBounds=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]],this.surfaceProject=[!1,!1,!1],this.contourProject=[[!1,!1,!1],[!1,!1,!1],[!1,!1,!1]],this.colorBounds=[!1,!1],this._field=[f(s.mallocFloat(1024),[0,0]),f(s.mallocFloat(1024),[0,0]),f(s.mallocFloat(1024),[0,0])],this.pickId=1,this.clipBounds=[[-1/0,-1/0,-1/0],[1/0,1/0,1/0]],this.snapToData=!1,this.pixelRatio=1,this.opacity=1,this.lightPosition=[10,1e4,0],this.ambientLight=.8,this.diffuseLight=.8,this.specularLight=2,this.roughness=.5,this.fresnel=1.5,this.vertexColor=0,this.dirty=!0}var L=E.prototype;L.genColormap=function(t,e){var r=!1,n=c([l({colormap:t,nshades:S,format:"rgba"}).map((function(t,n){var i=e?function(t,e){if(!e)return 1;if(!e.length)return 1;for(var r=0;rt&&r>0){var n=(e[r][0]-t)/(e[r][0]-e[r-1][0]);return e[r][1]*(1-n)+n*e[r-1][1]}}return 1}(n/255,e):t[3];return i<1&&(r=!0),[t[0],t[1],t[2],255*i]}))]);return u.divseq(n,255),this.hasAlphaScale=r,n},L.isTransparent=function(){return this.opacity<1||this.hasAlphaScale},L.isOpaque=function(){return!this.isTransparent()},L.pickSlots=1,L.setPickBase=function(t){this.pickId=t};var C=[0,0,0],P={showSurface:!1,showContour:!1,projections:[T.slice(),T.slice(),T.slice()],clipBounds:[[[0,0,0],[0,0,0]],[[0,0,0],[0,0,0]],[[0,0,0],[0,0,0]]]};function O(t,e){var r,n,i,a=e.axes&&e.axes.lastCubeProps.axis||C,o=e.showSurface,s=e.showContour;for(r=0;r<3;++r)for(o=o||e.surfaceProject[r],n=0;n<3;++n)s=s||e.contourProject[r][n];for(r=0;r<3;++r){var l=P.projections[r];for(n=0;n<16;++n)l[n]=0;for(n=0;n<4;++n)l[5*n]=1;l[5*r]=0,l[12+r]=e.axesBounds[+(a[r]>0)][r],p(l,t.model,l);var u=P.clipBounds[r];for(i=0;i<2;++i)for(n=0;n<3;++n)u[i][n]=t.clipBounds[i][n];u[0][r]=-1e8,u[1][r]=1e8}return P.showSurface=o,P.showContour=s,P}var I={model:T,view:T,projection:T,inverseModel:T.slice(),lowerBound:[0,0,0],upperBound:[0,0,0],colorMap:0,clipBounds:[[0,0,0],[0,0,0]],height:0,contourTint:0,contourColor:[0,0,0,1],permutation:[1,0,0,0,1,0,0,0,1],zOffset:-1e-4,objectOffset:[0,0,0],kambient:1,kdiffuse:1,kspecular:1,lightPosition:[1e3,1e3,1e3],eyePosition:[0,0,0],roughness:1,fresnel:1,opacity:1,vertexColor:0},D=T.slice(),z=[1,0,0,0,1,0,0,0,1];function R(t,e){t=t||{};var r=this.gl;r.disable(r.CULL_FACE),this._colorMap.bind(0);var n=I;n.model=t.model||T,n.view=t.view||T,n.projection=t.projection||T,n.lowerBound=[this.bounds[0][0],this.bounds[0][1],this.colorBounds[0]||this.bounds[0][2]],n.upperBound=[this.bounds[1][0],this.bounds[1][1],this.colorBounds[1]||this.bounds[1][2]],n.objectOffset=this.objectOffset,n.contourColor=this.contourColor[0],n.inverseModel=d(n.inverseModel,n.model);for(var i=0;i<2;++i)for(var a=n.clipBounds[i],o=0;o<3;++o)a[o]=Math.min(Math.max(this.clipBounds[i][o],-1e8),1e8);n.kambient=this.ambientLight,n.kdiffuse=this.diffuseLight,n.kspecular=this.specularLight,n.roughness=this.roughness,n.fresnel=this.fresnel,n.opacity=this.opacity,n.height=0,n.permutation=z,n.vertexColor=this.vertexColor;var s=D;for(p(s,n.view,n.model),p(s,n.projection,s),d(s,s),i=0;i<3;++i)n.eyePosition[i]=s[12+i]/s[15];var l=s[15];for(i=0;i<3;++i)l+=this.lightPosition[i]*s[4*i+3];for(i=0;i<3;++i){var u=s[12+i];for(o=0;o<3;++o)u+=s[4*o+i]*this.lightPosition[o];n.lightPosition[i]=u/l}var c=O(n,this);if(c.showSurface){for(this._shader.bind(),this._shader.uniforms=n,this._vao.bind(),this.showSurface&&this._vertexCount&&this._vao.draw(r.TRIANGLES,this._vertexCount),i=0;i<3;++i)this.surfaceProject[i]&&this.vertexCount&&(this._shader.uniforms.model=c.projections[i],this._shader.uniforms.clipBounds=c.clipBounds[i],this._vao.draw(r.TRIANGLES,this._vertexCount));this._vao.unbind()}if(c.showContour){var f=this._contourShader;n.kambient=1,n.kdiffuse=0,n.kspecular=0,n.opacity=1,f.bind(),f.uniforms=n;var h=this._contourVAO;for(h.bind(),i=0;i<3;++i)for(f.uniforms.permutation=A[i],r.lineWidth(this.contourWidth[i]*this.pixelRatio),o=0;o>4)/16)/255,i=Math.floor(n),a=n-i,o=e[1]*(t.value[1]+(15&t.value[2])/16)/255,s=Math.floor(o),l=o-s;i+=1,s+=1;var u=r.position;u[0]=u[1]=u[2]=0;for(var c=0;c<2;++c)for(var f=c?a:1-a,h=0;h<2;++h)for(var p=i+c,d=s+h,g=f*(h?l:1-l),y=0;y<3;++y)u[y]+=this._field[y].get(p,d)*g;for(var m=this._pickResult.level,x=0;x<3;++x)if(m[x]=v.le(this.contourLevels[x],u[x]),m[x]<0)this.contourLevels[x].length>0&&(m[x]=0);else if(m[x]Math.abs(_-u[x])&&(m[x]+=1)}for(r.index[0]=a<.5?i:i+1,r.index[1]=l<.5?s:s+1,r.uv[0]=n/e[0],r.uv[1]=o/e[1],y=0;y<3;++y)r.dataCoordinate[y]=this._field[y].get(r.index[0],r.index[1]);return r},L.padField=function(t,e){var r=e.shape.slice(),n=t.shape.slice();u.assign(t.lo(1,1).hi(r[0],r[1]),e),u.assign(t.lo(1).hi(r[0],1),e.hi(r[0],1)),u.assign(t.lo(1,n[1]-1).hi(r[0],1),e.lo(0,r[1]-1).hi(r[0],1)),u.assign(t.lo(0,1).hi(1,r[1]),e.hi(1)),u.assign(t.lo(n[0]-1,1).hi(1,r[1]),e.lo(r[0]-1)),t.set(0,0,e.get(0,0)),t.set(0,n[1]-1,e.get(0,r[1]-1)),t.set(n[0]-1,0,e.get(r[0]-1,0)),t.set(n[0]-1,n[1]-1,e.get(r[0]-1,r[1]-1))},L.update=function(t){t=t||{},this.objectOffset=t.objectOffset||this.objectOffset,this.dirty=!0,"contourWidth"in t&&(this.contourWidth=B(t.contourWidth,Number)),"showContour"in t&&(this.showContour=B(t.showContour,Boolean)),"showSurface"in t&&(this.showSurface=!!t.showSurface),"contourTint"in t&&(this.contourTint=B(t.contourTint,Boolean)),"contourColor"in t&&(this.contourColor=j(t.contourColor)),"contourProject"in t&&(this.contourProject=B(t.contourProject,(function(t){return B(t,Boolean)}))),"surfaceProject"in t&&(this.surfaceProject=t.surfaceProject),"dynamicColor"in t&&(this.dynamicColor=j(t.dynamicColor)),"dynamicTint"in t&&(this.dynamicTint=B(t.dynamicTint,Number)),"dynamicWidth"in t&&(this.dynamicWidth=B(t.dynamicWidth,Number)),"opacity"in t&&(this.opacity=t.opacity),"opacityscale"in t&&(this.opacityscale=t.opacityscale),"colorBounds"in t&&(this.colorBounds=t.colorBounds),"vertexColor"in t&&(this.vertexColor=t.vertexColor?1:0),"colormap"in t&&this._colorMap.setPixels(this.genColormap(t.colormap,this.opacityscale));var e=t.field||t.coords&&t.coords[2]||null,r=!1;if(e||(e=this._field[2].shape[0]||this._field[2].shape[2]?this._field[2].lo(1,1).hi(this._field[2].shape[0]-2,this._field[2].shape[1]-2):this._field[2].hi(0,0)),"field"in t||"coords"in t){var i=(e.shape[0]+2)*(e.shape[1]+2);i>this._field[2].data.length&&(s.freeFloat(this._field[2].data),this._field[2].data=s.mallocFloat(n.nextPow2(i))),this._field[2]=f(this._field[2].data,[e.shape[0]+2,e.shape[1]+2]),this.padField(this._field[2],e),this.shape=e.shape.slice();for(var a=this.shape,o=0;o<2;++o)this._field[2].size>this._field[o].data.length&&(s.freeFloat(this._field[o].data),this._field[o].data=s.mallocFloat(this._field[2].size)),this._field[o]=f(this._field[o].data,[a[0]+2,a[1]+2]);if(t.coords){var l=t.coords;if(!Array.isArray(l)||3!==l.length)throw new Error("gl-surface: invalid coordinates for x/y");for(o=0;o<2;++o){var u=l[o];for(y=0;y<2;++y)if(u.shape[y]!==a[y])throw new Error("gl-surface: coords have incorrect shape");this.padField(this._field[o],u)}}else if(t.ticks){var c=t.ticks;if(!Array.isArray(c)||2!==c.length)throw new Error("gl-surface: invalid ticks");for(o=0;o<2;++o){var p=c[o];if((Array.isArray(p)||p.length)&&(p=f(p)),p.shape[0]!==a[o])throw new Error("gl-surface: invalid tick length");var d=f(p.data,a);d.stride[o]=p.stride[0],d.stride[1^o]=0,this.padField(this._field[o],d)}}else{for(o=0;o<2;++o){var v=[0,0];v[o]=1,this._field[o]=f(this._field[o].data,[a[0]+2,a[1]+2],v,0)}this._field[0].set(0,0,0);for(var y=0;y0){for(var xt=0;xt<5;++xt)$.pop();U-=1}continue t}$.push(nt[0],nt[1],ot[0],ot[1],nt[2]),U+=1}}rt.push(U)}this._contourOffsets[Q]=et,this._contourCounts[Q]=rt}var bt=s.mallocFloat($.length);for(o=0;o<$.length;++o)bt[o]=$[o];this._contourBuffer.update(bt),s.freeFloat(bt)}},L.dispose=function(){this._shader.dispose(),this._vao.dispose(),this._coordinateBuffer.dispose(),this._colorMap.dispose(),this._contourBuffer.dispose(),this._contourVAO.dispose(),this._contourShader.dispose(),this._contourPickShader.dispose(),this._dynamicBuffer.dispose(),this._dynamicVAO.dispose();for(var t=0;t<3;++t)s.freeFloat(this._field[t].data)},L.highlight=function(t){var e,r;if(!t)return this._dynamicCounts=[0,0,0],this.dyanamicLevel=[NaN,NaN,NaN],void(this.highlightLevel=[-1,-1,-1]);for(e=0;e<3;++e)this.enableHighlight[e]?this.highlightLevel[e]=t.level[e]:this.highlightLevel[e]=-1;for(r=this.snapToData?t.dataCoordinate:t.position,e=0;e<3;++e)r[e]-=this.objectOffset[e];if(this.enableDynamic[0]&&r[0]!==this.dynamicLevel[0]||this.enableDynamic[1]&&r[1]!==this.dynamicLevel[1]||this.enableDynamic[2]&&r[2]!==this.dynamicLevel[2]){for(var n=0,i=this.shape,a=s.mallocFloat(12*i[0]*i[1]),o=0;o<3;++o)if(this.enableDynamic[o]){this.dynamicLevel[o]=r[o];var l=(o+1)%3,u=(o+2)%3,c=this._field[o],f=this._field[l],p=this._field[u],d=h(c,r[o]),v=d.cells,g=d.positions;for(this._dynamicOffsets[o]=n,e=0;es||o[1]<0||o[1]>s)throw new Error("gl-texture2d: Invalid texture size");var l=d(o,e.stride.slice()),u=0;"float32"===r?u=t.FLOAT:"float64"===r?(u=t.FLOAT,l=!1,r="float32"):"uint8"===r?u=t.UNSIGNED_BYTE:(u=t.UNSIGNED_BYTE,l=!1,r="uint8");var f,p,g=0;if(2===o.length)g=t.LUMINANCE,o=[o[0],o[1],1],e=n(e.data,o,[e.stride[0],e.stride[1],1],e.offset);else{if(3!==o.length)throw new Error("gl-texture2d: Invalid shape for texture");if(1===o[2])g=t.ALPHA;else if(2===o[2])g=t.LUMINANCE_ALPHA;else if(3===o[2])g=t.RGB;else{if(4!==o[2])throw new Error("gl-texture2d: Invalid shape for pixel coords");g=t.RGBA}}u!==t.FLOAT||t.getExtension("OES_texture_float")||(u=t.UNSIGNED_BYTE,l=!1);var y=e.size;if(l)f=0===e.offset&&e.data.length===y?e.data:e.data.subarray(e.offset,e.offset+y);else{var m=[o[2],o[2]*o[0],1];p=a.malloc(y,r);var x=n(p,o,m,0);"float32"!==r&&"float64"!==r||u!==t.UNSIGNED_BYTE?i.assign(x,e):c(x,e),f=p.subarray(0,y)}var b=v(t);return t.texImage2D(t.TEXTURE_2D,0,g,o[0],o[1],0,g,u,f),l||a.free(p),new h(t,b,o[0],o[1],g,u)}(t,e)}throw new Error("gl-texture2d: Invalid arguments for texture2d constructor")};var o=null,s=null,l=null;function u(t){return"undefined"!=typeof HTMLCanvasElement&&t instanceof HTMLCanvasElement||"undefined"!=typeof HTMLImageElement&&t instanceof HTMLImageElement||"undefined"!=typeof HTMLVideoElement&&t instanceof HTMLVideoElement||"undefined"!=typeof ImageData&&t instanceof ImageData}var c=function(t,e){i.muls(t,e,255)};function f(t,e,r){var n=t.gl,i=n.getParameter(n.MAX_TEXTURE_SIZE);if(e<0||e>i||r<0||r>i)throw new Error("gl-texture2d: Invalid texture size");return t._shape=[e,r],t.bind(),n.texImage2D(n.TEXTURE_2D,0,t.format,e,r,0,t.format,t.type,null),t._mipLevels=[0],t}function h(t,e,r,n,i,a){this.gl=t,this.handle=e,this.format=i,this.type=a,this._shape=[r,n],this._mipLevels=[0],this._magFilter=t.NEAREST,this._minFilter=t.NEAREST,this._wrapS=t.CLAMP_TO_EDGE,this._wrapT=t.CLAMP_TO_EDGE,this._anisoSamples=1;var o=this,s=[this._wrapS,this._wrapT];Object.defineProperties(s,[{get:function(){return o._wrapS},set:function(t){return o.wrapS=t}},{get:function(){return o._wrapT},set:function(t){return o.wrapT=t}}]),this._wrapVector=s;var l=[this._shape[0],this._shape[1]];Object.defineProperties(l,[{get:function(){return o._shape[0]},set:function(t){return o.width=t}},{get:function(){return o._shape[1]},set:function(t){return o.height=t}}]),this._shapeVector=l}var p=h.prototype;function d(t,e){return 3===t.length?1===e[2]&&e[1]===t[0]*t[2]&&e[0]===t[2]:1===e[0]&&e[1]===t[0]}function v(t){var e=t.createTexture();return t.bindTexture(t.TEXTURE_2D,e),t.texParameteri(t.TEXTURE_2D,t.TEXTURE_MIN_FILTER,t.NEAREST),t.texParameteri(t.TEXTURE_2D,t.TEXTURE_MAG_FILTER,t.NEAREST),t.texParameteri(t.TEXTURE_2D,t.TEXTURE_WRAP_S,t.CLAMP_TO_EDGE),t.texParameteri(t.TEXTURE_2D,t.TEXTURE_WRAP_T,t.CLAMP_TO_EDGE),e}function g(t,e,r,n,i){var a=t.getParameter(t.MAX_TEXTURE_SIZE);if(e<0||e>a||r<0||r>a)throw new Error("gl-texture2d: Invalid texture shape");if(i===t.FLOAT&&!t.getExtension("OES_texture_float"))throw new Error("gl-texture2d: Floating point textures not supported on this platform");var o=v(t);return t.texImage2D(t.TEXTURE_2D,0,n,e,r,0,n,i,null),new h(t,o,e,r,n,i)}Object.defineProperties(p,{minFilter:{get:function(){return this._minFilter},set:function(t){this.bind();var e=this.gl;if(this.type===e.FLOAT&&o.indexOf(t)>=0&&(e.getExtension("OES_texture_float_linear")||(t=e.NEAREST)),s.indexOf(t)<0)throw new Error("gl-texture2d: Unknown filter mode "+t);return e.texParameteri(e.TEXTURE_2D,e.TEXTURE_MIN_FILTER,t),this._minFilter=t}},magFilter:{get:function(){return this._magFilter},set:function(t){this.bind();var e=this.gl;if(this.type===e.FLOAT&&o.indexOf(t)>=0&&(e.getExtension("OES_texture_float_linear")||(t=e.NEAREST)),s.indexOf(t)<0)throw new Error("gl-texture2d: Unknown filter mode "+t);return e.texParameteri(e.TEXTURE_2D,e.TEXTURE_MAG_FILTER,t),this._magFilter=t}},mipSamples:{get:function(){return this._anisoSamples},set:function(t){var e=this._anisoSamples;if(this._anisoSamples=0|Math.max(t,1),e!==this._anisoSamples){var r=this.gl.getExtension("EXT_texture_filter_anisotropic");r&&this.gl.texParameterf(this.gl.TEXTURE_2D,r.TEXTURE_MAX_ANISOTROPY_EXT,this._anisoSamples)}return this._anisoSamples}},wrapS:{get:function(){return this._wrapS},set:function(t){if(this.bind(),l.indexOf(t)<0)throw new Error("gl-texture2d: Unknown wrap mode "+t);return this.gl.texParameteri(this.gl.TEXTURE_2D,this.gl.TEXTURE_WRAP_S,t),this._wrapS=t}},wrapT:{get:function(){return this._wrapT},set:function(t){if(this.bind(),l.indexOf(t)<0)throw new Error("gl-texture2d: Unknown wrap mode "+t);return this.gl.texParameteri(this.gl.TEXTURE_2D,this.gl.TEXTURE_WRAP_T,t),this._wrapT=t}},wrap:{get:function(){return this._wrapVector},set:function(t){if(Array.isArray(t)||(t=[t,t]),2!==t.length)throw new Error("gl-texture2d: Must specify wrap mode for rows and columns");for(var e=0;e<2;++e)if(l.indexOf(t[e])<0)throw new Error("gl-texture2d: Unknown wrap mode "+t);this._wrapS=t[0],this._wrapT=t[1];var r=this.gl;return this.bind(),r.texParameteri(r.TEXTURE_2D,r.TEXTURE_WRAP_S,this._wrapS),r.texParameteri(r.TEXTURE_2D,r.TEXTURE_WRAP_T,this._wrapT),t}},shape:{get:function(){return this._shapeVector},set:function(t){if(Array.isArray(t)){if(2!==t.length)throw new Error("gl-texture2d: Invalid texture shape")}else t=[0|t,0|t];return f(this,0|t[0],0|t[1]),[0|t[0],0|t[1]]}},width:{get:function(){return this._shape[0]},set:function(t){return f(this,t|=0,this._shape[1]),t}},height:{get:function(){return this._shape[1]},set:function(t){return t|=0,f(this,this._shape[0],t),t}}}),p.bind=function(t){var e=this.gl;return void 0!==t&&e.activeTexture(e.TEXTURE0+(0|t)),e.bindTexture(e.TEXTURE_2D,this.handle),void 0!==t?0|t:e.getParameter(e.ACTIVE_TEXTURE)-e.TEXTURE0},p.dispose=function(){this.gl.deleteTexture(this.handle)},p.generateMipmap=function(){this.bind(),this.gl.generateMipmap(this.gl.TEXTURE_2D);for(var t=Math.min(this._shape[0],this._shape[1]),e=0;t>0;++e,t>>>=1)this._mipLevels.indexOf(e)<0&&this._mipLevels.push(e)},p.setPixels=function(t,e,r,o){var s=this.gl;this.bind(),Array.isArray(e)?(o=r,r=0|e[1],e=0|e[0]):(e=e||0,r=r||0),o=o||0;var l=u(t)?t:t.raw;if(l)this._mipLevels.indexOf(o)<0?(s.texImage2D(s.TEXTURE_2D,0,this.format,this.format,this.type,l),this._mipLevels.push(o)):s.texSubImage2D(s.TEXTURE_2D,o,e,r,this.format,this.type,l);else{if(!(t.shape&&t.stride&&t.data))throw new Error("gl-texture2d: Unsupported data type");if(t.shape.length<2||e+t.shape[1]>this._shape[1]>>>o||r+t.shape[0]>this._shape[0]>>>o||e<0||r<0)throw new Error("gl-texture2d: Texture dimensions are out of bounds");!function(t,e,r,o,s,l,u,f){var h=f.dtype,p=f.shape.slice();if(p.length<2||p.length>3)throw new Error("gl-texture2d: Invalid ndarray, must be 2d or 3d");var v=0,g=0,y=d(p,f.stride.slice());if("float32"===h?v=t.FLOAT:"float64"===h?(v=t.FLOAT,y=!1,h="float32"):"uint8"===h?v=t.UNSIGNED_BYTE:(v=t.UNSIGNED_BYTE,y=!1,h="uint8"),2===p.length)g=t.LUMINANCE,p=[p[0],p[1],1],f=n(f.data,p,[f.stride[0],f.stride[1],1],f.offset);else{if(3!==p.length)throw new Error("gl-texture2d: Invalid shape for texture");if(1===p[2])g=t.ALPHA;else 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L=_*r[a]+w*h[a]+T*e[a];E[4*a+1]=k*r[a]+A*h[a]+M*e[a],E[4*a+2]=L,E[4*a+3]=0}var C=E[1],P=E[5],O=E[9],I=E[2],D=E[6],z=E[10],R=P*z-O*D,F=O*I-C*z,B=C*D-P*I,N=u(R,F,B);for(R/=N,F/=N,B/=N,E[0]=R,E[4]=F,E[8]=B,a=0;a<3;++a)S[a]=b[a]+E[2+4*a]*p;for(a=0;a<3;++a){c=0;for(var j=0;j<3;++j)c+=E[a+4*j]*S[j];E[12+a]=-c}E[15]=1},p.getMatrix=function(t,e){this.recalcMatrix(t);var r=this.computedMatrix;if(e){for(var n=0;n<16;++n)e[n]=r[n];return e}return r};var d=[0,0,0];p.rotate=function(t,e,r,n){if(this.angle.move(t,e,r),n){this.recalcMatrix(t);var i=this.computedMatrix;d[0]=i[2],d[1]=i[6],d[2]=i[10];for(var o=this.computedUp,s=this.computedRight,l=this.computedToward,u=0;u<3;++u)i[4*u]=o[u],i[4*u+1]=s[u],i[4*u+2]=l[u];for(a(i,i,n,d),u=0;u<3;++u)o[u]=i[4*u],s[u]=i[4*u+1];this.up.set(t,o[0],o[1],o[2]),this.right.set(t,s[0],s[1],s[2])}},p.pan=function(t,e,r,n){e=e||0,r=r||0,n=n||0,this.recalcMatrix(t);var 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this.uint16[f+0]=e,this.uint16[f+1]=r,this.uint16[f+2]=n,this.uint16[f+3]=i,this.uint16[f+4]=a,this.uint16[f+5]=o,this.uint16[f+6]=s,this.uint16[f+7]=l,this.uint16[f+8]=u,this.uint16[f+9]=c,t},e}(Qi);sa.prototype.bytesPerElement=20,oi("StructArrayLayout10ui20",sa);var la=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.int16=new Int16Array(this.arrayBuffer),this.uint16=new Uint16Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r,n,i,a,o,s,l,u,c,f){var h=this.length;return this.resize(h+1),this.emplace(h,t,e,r,n,i,a,o,s,l,u,c,f)},e.prototype.emplace=function(t,e,r,n,i,a,o,s,l,u,c,f,h){var p=12*t;return this.int16[p+0]=e,this.int16[p+1]=r,this.int16[p+2]=n,this.int16[p+3]=i,this.uint16[p+4]=a,this.uint16[p+5]=o,this.uint16[p+6]=s,this.uint16[p+7]=l,this.int16[p+8]=u,this.int16[p+9]=c,this.int16[p+10]=f,this.int16[p+11]=h,t},e}(Qi);la.prototype.bytesPerElement=24,oi("StructArrayLayout4i4ui4i24",la);var ua=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.float32=new Float32Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r){var n=this.length;return this.resize(n+1),this.emplace(n,t,e,r)},e.prototype.emplace=function(t,e,r,n){var i=3*t;return this.float32[i+0]=e,this.float32[i+1]=r,this.float32[i+2]=n,t},e}(Qi);ua.prototype.bytesPerElement=12,oi("StructArrayLayout3f12",ua);var ca=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.uint32=new Uint32Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t){var e=this.length;return this.resize(e+1),this.emplace(e,t)},e.prototype.emplace=function(t,e){var r=1*t;return this.uint32[r+0]=e,t},e}(Qi);ca.prototype.bytesPerElement=4,oi("StructArrayLayout1ul4",ca);var fa=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.int16=new Int16Array(this.arrayBuffer),this.uint32=new Uint32Array(this.arrayBuffer),this.uint16=new Uint16Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r,n,i,a,o,s,l){var u=this.length;return this.resize(u+1),this.emplace(u,t,e,r,n,i,a,o,s,l)},e.prototype.emplace=function(t,e,r,n,i,a,o,s,l,u){var c=10*t,f=5*t;return this.int16[c+0]=e,this.int16[c+1]=r,this.int16[c+2]=n,this.int16[c+3]=i,this.int16[c+4]=a,this.int16[c+5]=o,this.uint32[f+3]=s,this.uint16[c+8]=l,this.uint16[c+9]=u,t},e}(Qi);fa.prototype.bytesPerElement=20,oi("StructArrayLayout6i1ul2ui20",fa);var ha=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.int16=new Int16Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r,n,i,a){var o=this.length;return this.resize(o+1),this.emplace(o,t,e,r,n,i,a)},e.prototype.emplace=function(t,e,r,n,i,a,o){var s=6*t;return this.int16[s+0]=e,this.int16[s+1]=r,this.int16[s+2]=n,this.int16[s+3]=i,this.int16[s+4]=a,this.int16[s+5]=o,t},e}(Qi);ha.prototype.bytesPerElement=12,oi("StructArrayLayout2i2i2i12",ha);var pa=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.float32=new Float32Array(this.arrayBuffer),this.int16=new Int16Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r,n,i){var a=this.length;return this.resize(a+1),this.emplace(a,t,e,r,n,i)},e.prototype.emplace=function(t,e,r,n,i,a){var o=4*t,s=8*t;return this.float32[o+0]=e,this.float32[o+1]=r,this.float32[o+2]=n,this.int16[s+6]=i,this.int16[s+7]=a,t},e}(Qi);pa.prototype.bytesPerElement=16,oi("StructArrayLayout2f1f2i16",pa);var da=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.float32=new Float32Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r,n){var i=this.length;return this.resize(i+1),this.emplace(i,t,e,r,n)},e.prototype.emplace=function(t,e,r,n,i){var a=12*t,o=3*t;return this.uint8[a+0]=e,this.uint8[a+1]=r,this.float32[o+1]=n,this.float32[o+2]=i,t},e}(Qi);da.prototype.bytesPerElement=12,oi("StructArrayLayout2ub2f12",da);var va=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.uint16=new Uint16Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r){var n=this.length;return this.resize(n+1),this.emplace(n,t,e,r)},e.prototype.emplace=function(t,e,r,n){var i=3*t;return this.uint16[i+0]=e,this.uint16[i+1]=r,this.uint16[i+2]=n,t},e}(Qi);va.prototype.bytesPerElement=6,oi("StructArrayLayout3ui6",va);var ga=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.int16=new Int16Array(this.arrayBuffer),this.uint16=new Uint16Array(this.arrayBuffer),this.uint32=new Uint32Array(this.arrayBuffer),this.float32=new Float32Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r,n,i,a,o,s,l,u,c,f,h,p,d,v,g){var y=this.length;return this.resize(y+1),this.emplace(y,t,e,r,n,i,a,o,s,l,u,c,f,h,p,d,v,g)},e.prototype.emplace=function(t,e,r,n,i,a,o,s,l,u,c,f,h,p,d,v,g,y){var m=24*t,x=12*t,b=48*t;return this.int16[m+0]=e,this.int16[m+1]=r,this.uint16[m+2]=n,this.uint16[m+3]=i,this.uint32[x+2]=a,this.uint32[x+3]=o,this.uint32[x+4]=s,this.uint16[m+10]=l,this.uint16[m+11]=u,this.uint16[m+12]=c,this.float32[x+7]=f,this.float32[x+8]=h,this.uint8[b+36]=p,this.uint8[b+37]=d,this.uint8[b+38]=v,this.uint32[x+10]=g,this.int16[m+22]=y,t},e}(Qi);ga.prototype.bytesPerElement=48,oi("StructArrayLayout2i2ui3ul3ui2f3ub1ul1i48",ga);var ya=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.int16=new Int16Array(this.arrayBuffer),this.uint16=new Uint16Array(this.arrayBuffer),this.uint32=new Uint32Array(this.arrayBuffer),this.float32=new Float32Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r,n,i,a,o,s,l,u,c,f,h,p,d,v,g,y,m,x,b,_,w,T,k,A,M,S){var E=this.length;return this.resize(E+1),this.emplace(E,t,e,r,n,i,a,o,s,l,u,c,f,h,p,d,v,g,y,m,x,b,_,w,T,k,A,M,S)},e.prototype.emplace=function(t,e,r,n,i,a,o,s,l,u,c,f,h,p,d,v,g,y,m,x,b,_,w,T,k,A,M,S,E){var L=34*t,C=17*t;return this.int16[L+0]=e,this.int16[L+1]=r,this.int16[L+2]=n,this.int16[L+3]=i,this.int16[L+4]=a,this.int16[L+5]=o,this.int16[L+6]=s,this.int16[L+7]=l,this.uint16[L+8]=u,this.uint16[L+9]=c,this.uint16[L+10]=f,this.uint16[L+11]=h,this.uint16[L+12]=p,this.uint16[L+13]=d,this.uint16[L+14]=v,this.uint16[L+15]=g,this.uint16[L+16]=y,this.uint16[L+17]=m,this.uint16[L+18]=x,this.uint16[L+19]=b,this.uint16[L+20]=_,this.uint16[L+21]=w,this.uint16[L+22]=T,this.uint32[C+12]=k,this.float32[C+13]=A,this.float32[C+14]=M,this.float32[C+15]=S,this.float32[C+16]=E,t},e}(Qi);ya.prototype.bytesPerElement=68,oi("StructArrayLayout8i15ui1ul4f68",ya);var ma=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.float32=new Float32Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t){var e=this.length;return this.resize(e+1),this.emplace(e,t)},e.prototype.emplace=function(t,e){var r=1*t;return this.float32[r+0]=e,t},e}(Qi);ma.prototype.bytesPerElement=4,oi("StructArrayLayout1f4",ma);var xa=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.int16=new Int16Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r){var n=this.length;return this.resize(n+1),this.emplace(n,t,e,r)},e.prototype.emplace=function(t,e,r,n){var i=3*t;return this.int16[i+0]=e,this.int16[i+1]=r,this.int16[i+2]=n,t},e}(Qi);xa.prototype.bytesPerElement=6,oi("StructArrayLayout3i6",xa);var ba=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.uint32=new Uint32Array(this.arrayBuffer),this.uint16=new Uint16Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r){var n=this.length;return this.resize(n+1),this.emplace(n,t,e,r)},e.prototype.emplace=function(t,e,r,n){var i=2*t,a=4*t;return this.uint32[i+0]=e,this.uint16[a+2]=r,this.uint16[a+3]=n,t},e}(Qi);ba.prototype.bytesPerElement=8,oi("StructArrayLayout1ul2ui8",ba);var _a=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.uint16=new Uint16Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e){var r=this.length;return this.resize(r+1),this.emplace(r,t,e)},e.prototype.emplace=function(t,e,r){var n=2*t;return this.uint16[n+0]=e,this.uint16[n+1]=r,t},e}(Qi);_a.prototype.bytesPerElement=4,oi("StructArrayLayout2ui4",_a);var wa=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.uint16=new Uint16Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t){var e=this.length;return this.resize(e+1),this.emplace(e,t)},e.prototype.emplace=function(t,e){var r=1*t;return this.uint16[r+0]=e,t},e}(Qi);wa.prototype.bytesPerElement=2,oi("StructArrayLayout1ui2",wa);var Ta=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.float32=new Float32Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r,n){var i=this.length;return this.resize(i+1),this.emplace(i,t,e,r,n)},e.prototype.emplace=function(t,e,r,n,i){var a=4*t;return this.float32[a+0]=e,this.float32[a+1]=r,this.float32[a+2]=n,this.float32[a+3]=i,t},e}(Qi);Ta.prototype.bytesPerElement=16,oi("StructArrayLayout4f16",Ta);var ka=function(t){function e(){t.apply(this,arguments)}t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e;var r={anchorPointX:{configurable:!0},anchorPointY:{configurable:!0},x1:{configurable:!0},y1:{configurable:!0},x2:{configurable:!0},y2:{configurable:!0},featureIndex:{configurable:!0},sourceLayerIndex:{configurable:!0},bucketIndex:{configurable:!0},anchorPoint:{configurable:!0}};return r.anchorPointX.get=function(){return this._structArray.int16[this._pos2+0]},r.anchorPointY.get=function(){return this._structArray.int16[this._pos2+1]},r.x1.get=function(){return this._structArray.int16[this._pos2+2]},r.y1.get=function(){return this._structArray.int16[this._pos2+3]},r.x2.get=function(){return this._structArray.int16[this._pos2+4]},r.y2.get=function(){return this._structArray.int16[this._pos2+5]},r.featureIndex.get=function(){return this._structArray.uint32[this._pos4+3]},r.sourceLayerIndex.get=function(){return this._structArray.uint16[this._pos2+8]},r.bucketIndex.get=function(){return this._structArray.uint16[this._pos2+9]},r.anchorPoint.get=function(){return new a(this.anchorPointX,this.anchorPointY)},Object.defineProperties(e.prototype,r),e}($i);ka.prototype.size=20;var Aa=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.get=function(t){return new ka(this,t)},e}(fa);oi("CollisionBoxArray",Aa);var Ma=function(t){function e(){t.apply(this,arguments)}t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e;var r={anchorX:{configurable:!0},anchorY:{configurable:!0},glyphStartIndex:{configurable:!0},numGlyphs:{configurable:!0},vertexStartIndex:{configurable:!0},lineStartIndex:{configurable:!0},lineLength:{configurable:!0},segment:{configurable:!0},lowerSize:{configurable:!0},upperSize:{configurable:!0},lineOffsetX:{configurable:!0},lineOffsetY:{configurable:!0},writingMode:{configurable:!0},placedOrientation:{configurable:!0},hidden:{configurable:!0},crossTileID:{configurable:!0},associatedIconIndex:{configurable:!0}};return r.anchorX.get=function(){return this._structArray.int16[this._pos2+0]},r.anchorY.get=function(){return this._structArray.int16[this._pos2+1]},r.glyphStartIndex.get=function(){return this._structArray.uint16[this._pos2+2]},r.numGlyphs.get=function(){return this._structArray.uint16[this._pos2+3]},r.vertexStartIndex.get=function(){return this._structArray.uint32[this._pos4+2]},r.lineStartIndex.get=function(){return this._structArray.uint32[this._pos4+3]},r.lineLength.get=function(){return this._structArray.uint32[this._pos4+4]},r.segment.get=function(){return this._structArray.uint16[this._pos2+10]},r.lowerSize.get=function(){return this._structArray.uint16[this._pos2+11]},r.upperSize.get=function(){return this._structArray.uint16[this._pos2+12]},r.lineOffsetX.get=function(){return this._structArray.float32[this._pos4+7]},r.lineOffsetY.get=function(){return this._structArray.float32[this._pos4+8]},r.writingMode.get=function(){return this._structArray.uint8[this._pos1+36]},r.placedOrientation.get=function(){return this._structArray.uint8[this._pos1+37]},r.placedOrientation.set=function(t){this._structArray.uint8[this._pos1+37]=t},r.hidden.get=function(){return this._structArray.uint8[this._pos1+38]},r.hidden.set=function(t){this._structArray.uint8[this._pos1+38]=t},r.crossTileID.get=function(){return this._structArray.uint32[this._pos4+10]},r.crossTileID.set=function(t){this._structArray.uint32[this._pos4+10]=t},r.associatedIconIndex.get=function(){return this._structArray.int16[this._pos2+22]},Object.defineProperties(e.prototype,r),e}($i);Ma.prototype.size=48;var Sa=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.get=function(t){return new Ma(this,t)},e}(ga);oi("PlacedSymbolArray",Sa);var Ea=function(t){function e(){t.apply(this,arguments)}t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e;var r={anchorX:{configurable:!0},anchorY:{configurable:!0},rightJustifiedTextSymbolIndex:{configurable:!0},centerJustifiedTextSymbolIndex:{configurable:!0},leftJustifiedTextSymbolIndex:{configurable:!0},verticalPlacedTextSymbolIndex:{configurable:!0},placedIconSymbolIndex:{configurable:!0},verticalPlacedIconSymbolIndex:{configurable:!0},key:{configurable:!0},textBoxStartIndex:{configurable:!0},textBoxEndIndex:{configurable:!0},verticalTextBoxStartIndex:{configurable:!0},verticalTextBoxEndIndex:{configurable:!0},iconBoxStartIndex:{configurable:!0},iconBoxEndIndex:{configurable:!0},verticalIconBoxStartIndex:{configurable:!0},verticalIconBoxEndIndex:{configurable:!0},featureIndex:{configurable:!0},numHorizontalGlyphVertices:{configurable:!0},numVerticalGlyphVertices:{configurable:!0},numIconVertices:{configurable:!0},numVerticalIconVertices:{configurable:!0},useRuntimeCollisionCircles:{configurable:!0},crossTileID:{configurable:!0},textBoxScale:{configurable:!0},textOffset0:{configurable:!0},textOffset1:{configurable:!0},collisionCircleDiameter:{configurable:!0}};return 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L=Uu(h,y,v),C=Uu(p,m,g),P=0;P0&&(d=Math.max(10,d),this.circleDiameter=d)}else{var v=o.top*s-l,g=o.bottom*s+l,y=o.left*s-l,m=o.right*s+l,x=o.collisionPadding;if(x&&(y-=x[0]*s,v-=x[1]*s,m+=x[2]*s,g+=x[3]*s),c){var b=new a(y,v),_=new a(m,v),w=new a(y,g),T=new a(m,g),k=c*Math.PI/180;b._rotate(k),_._rotate(k),w._rotate(k),T._rotate(k),y=Math.min(b.x,_.x,w.x,T.x),m=Math.max(b.x,_.x,w.x,T.x),v=Math.min(b.y,_.y,w.y,T.y),g=Math.max(b.y,_.y,w.y,T.y)}t.emplaceBack(e.x,e.y,y,v,m,g,r,n,i)}this.boxEndIndex=t.length},Gu=function(t,e){if(void 0===t&&(t=[]),void 0===e&&(e=Wu),this.data=t,this.length=this.data.length,this.compare=e,this.length>0)for(var r=(this.length>>1)-1;r>=0;r--)this._down(r)};function Wu(t,e){return te?1:0}function Yu(t,e,r){void 0===e&&(e=1),void 0===r&&(r=!1);for(var n=1/0,i=1/0,o=-1/0,s=-1/0,l=t[0],u=0;uo)&&(o=c.x),(!u||c.y>s)&&(s=c.y)}var f=o-n,h=s-i,p=Math.min(f,h),d=p/2,v=new Gu([],Xu);if(0===p)return new a(n,i);for(var g=n;gm.d||!m.d)&&(m=b,r&&console.log("found best %d 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i=t-1>>1,a=e[i];if(r(n,a)>=0)break;e[t]=a,t=i}e[t]=n},Gu.prototype._down=function(t){for(var e=this.data,r=this.compare,n=this.length>>1,i=e[t];t=0)break;e[t]=o,t=a}e[t]=i};var Ku=7,Ju=Number.POSITIVE_INFINITY;function $u(t,e){return e[1]!==Ju?function(t,e,r){var n=0,i=0;switch(e=Math.abs(e),r=Math.abs(r),t){case"top-right":case"top-left":case"top":i=r-Ku;break;case"bottom-right":case"bottom-left":case"bottom":i=-r+Ku}switch(t){case"top-right":case"bottom-right":case"right":n=-e;break;case"top-left":case"bottom-left":case"left":n=e}return[n,i]}(t,e[0],e[1]):function(t,e){var r=0,n=0;e<0&&(e=0);var i=e/Math.sqrt(2);switch(t){case"top-right":case"top-left":n=i-Ku;break;case"bottom-right":case"bottom-left":n=-i+Ku;break;case"bottom":n=-e+Ku;break;case"top":n=e-Ku}switch(t){case"top-right":case"bottom-right":r=-i;break;case"top-left":case"bottom-left":r=i;break;case"left":r=e;break;case"right":r=-e}return[r,n]}(t,e[0])}function Qu(t){switch(t){case"right":case"top-right":case"bottom-right":return"right";case"left":case"top-left":case"bottom-left":return"left"}return"center"}var tc=255,ec=tc*Au;function rc(t,e,r,n,i,o,s,l,u,c,f,h,p,d,v){var g=function(t,e,r,n,i,o,s,l){for(var u=n.layout.get("text-rotate").evaluate(o,{})*Math.PI/180,c=[],f=0,h=e.positionedLines;fec&&k(t.layerIds[0]+': Value for "text-size" is >= '+tc+'. 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this.hasDebugData()&&this.iconCollisionBox.segments.get().length>0},hc.prototype.addIndicesForPlacedSymbol=function(t,e){for(var r=t.placedSymbolArray.get(e),n=r.vertexStartIndex+4*r.numGlyphs,i=r.vertexStartIndex;i1||this.icon.segments.get().length>1)){this.symbolInstanceIndexes=this.getSortedSymbolIndexes(t),this.sortedAngle=t,this.text.indexArray.clear(),this.icon.indexArray.clear(),this.featureSortOrder=[];for(var 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qi(Ft.layout_symbol["symbol-z-order"]),"icon-allow-overlap":new qi(Ft.layout_symbol["icon-allow-overlap"]),"icon-ignore-placement":new qi(Ft.layout_symbol["icon-ignore-placement"]),"icon-optional":new qi(Ft.layout_symbol["icon-optional"]),"icon-rotation-alignment":new qi(Ft.layout_symbol["icon-rotation-alignment"]),"icon-size":new Hi(Ft.layout_symbol["icon-size"]),"icon-text-fit":new qi(Ft.layout_symbol["icon-text-fit"]),"icon-text-fit-padding":new qi(Ft.layout_symbol["icon-text-fit-padding"]),"icon-image":new Hi(Ft.layout_symbol["icon-image"]),"icon-rotate":new Hi(Ft.layout_symbol["icon-rotate"]),"icon-padding":new qi(Ft.layout_symbol["icon-padding"]),"icon-keep-upright":new qi(Ft.layout_symbol["icon-keep-upright"]),"icon-offset":new Hi(Ft.layout_symbol["icon-offset"]),"icon-anchor":new Hi(Ft.layout_symbol["icon-anchor"]),"icon-pitch-alignment":new qi(Ft.layout_symbol["icon-pitch-alignment"]),"text-pitch-alignment":new qi(Ft.layout_symbol["text-pitch-alignment"]),"text-rotation-alignment":new qi(Ft.layout_symbol["text-rotation-alignment"]),"text-field":new Hi(Ft.layout_symbol["text-field"]),"text-font":new Hi(Ft.layout_symbol["text-font"]),"text-size":new Hi(Ft.layout_symbol["text-size"]),"text-max-width":new Hi(Ft.layout_symbol["text-max-width"]),"text-line-height":new qi(Ft.layout_symbol["text-line-height"]),"text-letter-spacing":new Hi(Ft.layout_symbol["text-letter-spacing"]),"text-justify":new Hi(Ft.layout_symbol["text-justify"]),"text-radial-offset":new Hi(Ft.layout_symbol["text-radial-offset"]),"text-variable-anchor":new qi(Ft.layout_symbol["text-variable-anchor"]),"text-anchor":new Hi(Ft.layout_symbol["text-anchor"]),"text-max-angle":new qi(Ft.layout_symbol["text-max-angle"]),"text-writing-mode":new qi(Ft.layout_symbol["text-writing-mode"]),"text-rotate":new Hi(Ft.layout_symbol["text-rotate"]),"text-padding":new qi(Ft.layout_symbol["text-padding"]),"text-keep-upright":new qi(Ft.layout_symbol["text-keep-upright"]),"text-transform":new Hi(Ft.layout_symbol["text-transform"]),"text-offset":new Hi(Ft.layout_symbol["text-offset"]),"text-allow-overlap":new qi(Ft.layout_symbol["text-allow-overlap"]),"text-ignore-placement":new qi(Ft.layout_symbol["text-ignore-placement"]),"text-optional":new qi(Ft.layout_symbol["text-optional"])}),dc={paint:new Xi({"icon-opacity":new Hi(Ft.paint_symbol["icon-opacity"]),"icon-color":new Hi(Ft.paint_symbol["icon-color"]),"icon-halo-color":new Hi(Ft.paint_symbol["icon-halo-color"]),"icon-halo-width":new Hi(Ft.paint_symbol["icon-halo-width"]),"icon-halo-blur":new Hi(Ft.paint_symbol["icon-halo-blur"]),"icon-translate":new qi(Ft.paint_symbol["icon-translate"]),"icon-translate-anchor":new qi(Ft.paint_symbol["icon-translate-anchor"]),"text-opacity":new Hi(Ft.paint_symbol["text-opacity"]),"text-color":new Hi(Ft.paint_symbol["text-color"],{runtimeType:Zt,getOverride:function(t){return t.textColor},hasOverride:function(t){return!!t.textColor}}),"text-halo-color":new Hi(Ft.paint_symbol["text-halo-color"]),"text-halo-width":new Hi(Ft.paint_symbol["text-halo-width"]),"text-halo-blur":new Hi(Ft.paint_symbol["text-halo-blur"]),"text-translate":new qi(Ft.paint_symbol["text-translate"]),"text-translate-anchor":new qi(Ft.paint_symbol["text-translate-anchor"])}),layout:pc},vc=function(t){this.type=t.property.overrides?t.property.overrides.runtimeType:Gt,this.defaultValue=t};vc.prototype.evaluate=function(t){if(t.formattedSection){var e=this.defaultValue.property.overrides;if(e&&e.hasOverride(t.formattedSection))return e.getOverride(t.formattedSection)}return t.feature&&t.featureState?this.defaultValue.evaluate(t.feature,t.featureState):this.defaultValue.property.specification.default},vc.prototype.eachChild=function(t){this.defaultValue.isConstant()||t(this.defaultValue.value._styleExpression.expression)},vc.prototype.outputDefined=function(){return!1},vc.prototype.serialize=function(){return null},oi("FormatSectionOverride",vc,{omit:["defaultValue"]});var gc=function(t){function e(e){t.call(this,e,dc)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.recalculate=function(e,r){if(t.prototype.recalculate.call(this,e,r),"auto"===this.layout.get("icon-rotation-alignment")&&("point"!==this.layout.get("symbol-placement")?this.layout._values["icon-rotation-alignment"]="map":this.layout._values["icon-rotation-alignment"]="viewport"),"auto"===this.layout.get("text-rotation-alignment")&&("point"!==this.layout.get("symbol-placement")?this.layout._values["text-rotation-alignment"]="map":this.layout._values["text-rotation-alignment"]="viewport"),"auto"===this.layout.get("text-pitch-alignment")&&(this.layout._values["text-pitch-alignment"]=this.layout.get("text-rotation-alignment")),"auto"===this.layout.get("icon-pitch-alignment")&&(this.layout._values["icon-pitch-alignment"]=this.layout.get("icon-rotation-alignment")),"point"===this.layout.get("symbol-placement")){var n=this.layout.get("text-writing-mode");if(n){for(var i=[],a=0,o=n;a",targetMapId:n,sourceMapId:a.mapId})}}},Cc.prototype.receive=function(t){var e=t.data,r=e.id;if(r&&(!e.targetMapId||this.mapId===e.targetMapId))if(""===e.type){delete this.tasks[r];var n=this.cancelCallbacks[r];delete this.cancelCallbacks[r],n&&n()}else S()||e.mustQueue?(this.tasks[r]=e,this.taskQueue.push(r),this.invoker.trigger()):this.processTask(r,e)},Cc.prototype.process=function(){if(this.taskQueue.length){var t=this.taskQueue.shift(),e=this.tasks[t];delete this.tasks[t],this.taskQueue.length&&this.invoker.trigger(),e&&this.processTask(t,e)}},Cc.prototype.processTask=function(t,e){var r=this;if(""===e.type){var n=this.callbacks[t];delete this.callbacks[t],n&&(e.error?n(fi(e.error)):n(null,fi(e.data)))}else{var i=!1,a=C(this.globalScope)?void 0:[],o=e.hasCallback?function(e,n){i=!0,delete r.cancelCallbacks[t],r.target.postMessage({id:t,type:"",sourceMapId:r.mapId,error:e?ci(e):null,data:ci(n,a)},a)}:function(t){i=!0},s=null,l=fi(e.data);if(this.parent[e.type])s=this.parent[e.type](e.sourceMapId,l,o);else if(this.parent.getWorkerSource){var u=e.type.split(".");s=this.parent.getWorkerSource(e.sourceMapId,u[0],l.source)[u[1]](l,o)}else o(new Error("Could not find function "+e.type));!i&&s&&s.cancel&&(this.cancelCallbacks[t]=s.cancel)}},Cc.prototype.remove=function(){this.invoker.remove(),this.target.removeEventListener("message",this.receive,!1)};var Oc=function(t,e){t&&(e?this.setSouthWest(t).setNorthEast(e):4===t.length?this.setSouthWest([t[0],t[1]]).setNorthEast([t[2],t[3]]):this.setSouthWest(t[0]).setNorthEast(t[1]))};Oc.prototype.setNorthEast=function(t){return this._ne=t instanceof Dc?new Dc(t.lng,t.lat):Dc.convert(t),this},Oc.prototype.setSouthWest=function(t){return this._sw=t instanceof Dc?new Dc(t.lng,t.lat):Dc.convert(t),this},Oc.prototype.extend=function(t){var e,r,n=this._sw,i=this._ne;if(t instanceof Dc)e=t,r=t;else{if(!(t instanceof Oc)){if(Array.isArray(t)){if(4===t.length||t.every(Array.isArray)){var a=t;return this.extend(Oc.convert(a))}var o=t;return this.extend(Dc.convert(o))}return this}if(e=t._sw,r=t._ne,!e||!r)return this}return n||i?(n.lng=Math.min(e.lng,n.lng),n.lat=Math.min(e.lat,n.lat),i.lng=Math.max(r.lng,i.lng),i.lat=Math.max(r.lat,i.lat)):(this._sw=new Dc(e.lng,e.lat),this._ne=new Dc(r.lng,r.lat)),this},Oc.prototype.getCenter=function(){return new Dc((this._sw.lng+this._ne.lng)/2,(this._sw.lat+this._ne.lat)/2)},Oc.prototype.getSouthWest=function(){return this._sw},Oc.prototype.getNorthEast=function(){return this._ne},Oc.prototype.getNorthWest=function(){return new Dc(this.getWest(),this.getNorth())},Oc.prototype.getSouthEast=function(){return new Dc(this.getEast(),this.getSouth())},Oc.prototype.getWest=function(){return this._sw.lng},Oc.prototype.getSouth=function(){return this._sw.lat},Oc.prototype.getEast=function(){return this._ne.lng},Oc.prototype.getNorth=function(){return this._ne.lat},Oc.prototype.toArray=function(){return[this._sw.toArray(),this._ne.toArray()]},Oc.prototype.toString=function(){return"LngLatBounds("+this._sw.toString()+", "+this._ne.toString()+")"},Oc.prototype.isEmpty=function(){return!(this._sw&&this._ne)},Oc.prototype.contains=function(t){var e=Dc.convert(t),r=e.lng,n=e.lat,i=this._sw.lat<=n&&n<=this._ne.lat,a=this._sw.lng<=r&&r<=this._ne.lng;return this._sw.lng>this._ne.lng&&(a=this._sw.lng>=r&&r>=this._ne.lng),i&&a},Oc.convert=function(t){return!t||t instanceof Oc?t:new Oc(t)};var Ic=6371008.8,Dc=function(t,e){if(isNaN(t)||isNaN(e))throw new Error("Invalid LngLat object: ("+t+", "+e+")");if(this.lng=+t,this.lat=+e,this.lat>90||this.lat<-90)throw new Error("Invalid LngLat latitude value: must be between -90 and 90")};Dc.prototype.wrap=function(){return new Dc(h(this.lng,-180,180),this.lat)},Dc.prototype.toArray=function(){return[this.lng,this.lat]},Dc.prototype.toString=function(){return"LngLat("+this.lng+", "+this.lat+")"},Dc.prototype.distanceTo=function(t){var e=Math.PI/180,r=this.lat*e,n=t.lat*e,i=Math.sin(r)*Math.sin(n)+Math.cos(r)*Math.cos(n)*Math.cos((t.lng-this.lng)*e);return Ic*Math.acos(Math.min(i,1))},Dc.prototype.toBounds=function(t){void 0===t&&(t=0);var e=360*t/40075017,r=e/Math.cos(Math.PI/180*this.lat);return new Oc(new Dc(this.lng-r,this.lat-e),new Dc(this.lng+r,this.lat+e))},Dc.convert=function(t){if(t instanceof Dc)return t;if(Array.isArray(t)&&(2===t.length||3===t.length))return new Dc(Number(t[0]),Number(t[1]));if(!Array.isArray(t)&&"object"==typeof t&&null!==t)return new Dc(Number("lng"in t?t.lng:t.lon),Number(t.lat));throw new Error("`LngLatLike` argument must be specified as a LngLat instance, an object {lng: , lat: }, an object {lon: , lat: }, or an array of [, ]")};var zc=2*Math.PI*Ic;function Rc(t){return zc*Math.cos(t*Math.PI/180)}function Fc(t){return(180+t)/360}function Bc(t){return(180-180/Math.PI*Math.log(Math.tan(Math.PI/4+t*Math.PI/360)))/360}function Nc(t,e){return t/Rc(e)}function jc(t){var e=180-360*t;return 360/Math.PI*Math.atan(Math.exp(e*Math.PI/180))-90}var Uc=function(t,e,r){void 0===r&&(r=0),this.x=+t,this.y=+e,this.z=+r};Uc.fromLngLat=function(t,e){void 0===e&&(e=0);var r=Dc.convert(t);return new Uc(Fc(r.lng),Bc(r.lat),Nc(e,r.lat))},Uc.prototype.toLngLat=function(){return new Dc(360*this.x-180,jc(this.y))},Uc.prototype.toAltitude=function(){return t=this.z,e=this.y,t*Rc(jc(e));var t,e},Uc.prototype.meterInMercatorCoordinateUnits=function(){return 1/zc*(t=jc(this.y),1/Math.cos(t*Math.PI/180));var t};var Vc=function(t,e,r){this.z=t,this.x=e,this.y=r,this.key=Gc(0,t,t,e,r)};Vc.prototype.equals=function(t){return this.z===t.z&&this.x===t.x&&this.y===t.y},Vc.prototype.url=function(t,e){var r,n,i,a,o,s=(r=this.x,n=this.y,i=this.z,a=Pc(256*r,256*(n=Math.pow(2,i)-n-1),i),o=Pc(256*(r+1),256*(n+1),i),a[0]+","+a[1]+","+o[0]+","+o[1]),l=function(t,e,r){for(var n,i="",a=t;a>0;a--)i+=(e&(n=1<this.canonical.z?new Hc(t,this.wrap,this.canonical.z,this.canonical.x,this.canonical.y):new Hc(t,this.wrap,t,this.canonical.x>>e,this.canonical.y>>e)},Hc.prototype.calculateScaledKey=function(t,e){var r=this.canonical.z-t;return t>this.canonical.z?Gc(this.wrap*+e,t,this.canonical.z,this.canonical.x,this.canonical.y):Gc(this.wrap*+e,t,t,this.canonical.x>>r,this.canonical.y>>r)},Hc.prototype.isChildOf=function(t){if(t.wrap!==this.wrap)return!1;var e=this.canonical.z-t.canonical.z;return 0===t.overscaledZ||t.overscaledZ>e&&t.canonical.y===this.canonical.y>>e},Hc.prototype.children=function(t){if(this.overscaledZ>=t)return[new Hc(this.overscaledZ+1,this.wrap,this.canonical.z,this.canonical.x,this.canonical.y)];var e=this.canonical.z+1,r=2*this.canonical.x,n=2*this.canonical.y;return[new Hc(e,this.wrap,e,r,n),new Hc(e,this.wrap,e,r+1,n),new Hc(e,this.wrap,e,r,n+1),new Hc(e,this.wrap,e,r+1,n+1)]},Hc.prototype.isLessThan=function(t){return this.wrapt.wrap)&&(this.overscaledZt.overscaledZ)&&(this.canonical.xt.canonical.x)&&this.canonical.y=this.dim+1||e<-1||e>=this.dim+1)throw new RangeError("out of range source coordinates for DEM data");return(e+1)*this.stride+(t+1)},Wc.prototype._unpackMapbox=function(t,e,r){return(256*t*256+256*e+r)/10-1e4},Wc.prototype._unpackTerrarium=function(t,e,r){return 256*t+e+r/256-32768},Wc.prototype.getPixels=function(){return new $o({width:this.stride,height:this.stride},new Uint8Array(this.data.buffer))},Wc.prototype.backfillBorder=function(t,e,r){if(this.dim!==t.dim)throw new Error("dem dimension mismatch");var n=e*this.dim,i=e*this.dim+this.dim,a=r*this.dim,o=r*this.dim+this.dim;switch(e){case-1:n=i-1;break;case 1:i=n+1}switch(r){case-1:a=o-1;break;case 1:o=a+1}for(var s=-e*this.dim,l=-r*this.dim,u=a;u=0&&c[3]>=0&&s.insert(o,c[0],c[1],c[2],c[3])}},Jc.prototype.loadVTLayers=function(){return this.vtLayers||(this.vtLayers=new tl.VectorTile(new Ol(this.rawTileData)).layers,this.sourceLayerCoder=new Yc(this.vtLayers?Object.keys(this.vtLayers).sort():["_geojsonTileLayer"])),this.vtLayers},Jc.prototype.query=function(t,e,r,n){var i=this;this.loadVTLayers();for(var o=t.params||{},s=po/t.tileSize/t.scale,l=An(o.filter),u=t.queryGeometry,c=t.queryPadding*s,f=Qc(u),h=this.grid.query(f.minX-c,f.minY-c,f.maxX+c,f.maxY+c),p=Qc(t.cameraQueryGeometry),d=0,v=this.grid3D.query(p.minX-c,p.minY-c,p.maxX+c,p.maxY+c,(function(e,r,n,i){return function(t,e,r,n,i){for(var o=0,s=t;o=l.x&&i>=l.y)return!0}var u=[new a(e,r),new a(e,i),new a(n,i),new a(n,r)];if(t.length>2)for(var c=0,f=u;c=0)return!0;return!1}(a,f)){var h=this.sourceLayerCoder.decode(r),d=this.vtLayers[h].feature(n);if(i.needGeometry){var v=mo(d,!0);if(!i.filter(new Di(this.tileID.overscaledZ),v,this.tileID.canonical))return}else if(!i.filter(new Di(this.tileID.overscaledZ),d))return;for(var g=this.getId(d,h),y=0;yn)i=!1;else if(e)if(this.expirationTimeht&&(t.getActor().send("enforceCacheSizeLimit",ft),xt=0)},t.clamp=f,t.clearTileCache=function(t){var e=s.caches.delete(ct);t&&e.catch(t).then((function(){return t()}))},t.clipLine=Fu,t.clone=function(t){var e=new Fo(16);return e[0]=t[0],e[1]=t[1],e[2]=t[2],e[3]=t[3],e[4]=t[4],e[5]=t[5],e[6]=t[6],e[7]=t[7],e[8]=t[8],e[9]=t[9],e[10]=t[10],e[11]=t[11],e[12]=t[12],e[13]=t[13],e[14]=t[14],e[15]=t[15],e},t.clone$1=w,t.clone$2=function(t){var e=new Fo(3);return e[0]=t[0],e[1]=t[1],e[2]=t[2],e},t.collisionCircleLayout=Ml,t.config=j,t.create=function(){var t=new Fo(16);return Fo!=Float32Array&&(t[1]=0,t[2]=0,t[3]=0,t[4]=0,t[6]=0,t[7]=0,t[8]=0,t[9]=0,t[11]=0,t[12]=0,t[13]=0,t[14]=0),t[0]=1,t[5]=1,t[10]=1,t[15]=1,t},t.create$1=function(){var t=new Fo(9);return Fo!=Float32Array&&(t[1]=0,t[2]=0,t[3]=0,t[5]=0,t[6]=0,t[7]=0),t[0]=1,t[4]=1,t[8]=1,t},t.create$2=function(){var t=new Fo(4);return Fo!=Float32Array&&(t[1]=0,t[2]=0),t[0]=1,t[3]=1,t},t.createCommonjsModule=e,t.createExpression=fn,t.createLayout=ta,t.createStyleLayer=function(t){return"custom"===t.type?new _c(t):new wc[t.type](t)},t.cross=function(t,e,r){var n=e[0],i=e[1],a=e[2],o=r[0],s=r[1],l=r[2];return t[0]=i*l-a*s,t[1]=a*o-n*l,t[2]=n*s-i*o,t},t.deepEqual=function t(e,r){if(Array.isArray(e)){if(!Array.isArray(r)||e.length!==r.length)return!1;for(var n=0;n0&&(a=1/Math.sqrt(a)),t[0]=e[0]*a,t[1]=e[1]*a,t[2]=e[2]*a,t},t.number=er,t.offscreenCanvasSupported=bt,t.ortho=function(t,e,r,n,i,a,o){var s=1/(e-r),l=1/(n-i),u=1/(a-o);return t[0]=-2*s,t[1]=0,t[2]=0,t[3]=0,t[4]=0,t[5]=-2*l,t[6]=0,t[7]=0,t[8]=0,t[9]=0,t[10]=2*u,t[11]=0,t[12]=(e+r)*s,t[13]=(i+n)*l,t[14]=(o+a)*u,t[15]=1,t},t.parseGlyphPBF=function(t){return new Ol(t).readFields(Ql,[])},t.pbf=Ol,t.performSymbolLayout=function(t,e,r,n,i,a,o){t.createArrays();var s=512*t.overscaling;t.tilePixelRatio=po/s,t.compareText={},t.iconsNeedLinear=!1;var l=t.layers[0].layout,u=t.layers[0]._unevaluatedLayout._values,c={};if("composite"===t.textSizeData.kind){var f=t.textSizeData,h=f.minZoom,p=f.maxZoom;c.compositeTextSizes=[u["text-size"].possiblyEvaluate(new Di(h),o),u["text-size"].possiblyEvaluate(new Di(p),o)]}if("composite"===t.iconSizeData.kind){var d=t.iconSizeData,v=d.minZoom,g=d.maxZoom;c.compositeIconSizes=[u["icon-size"].possiblyEvaluate(new Di(v),o),u["icon-size"].possiblyEvaluate(new Di(g),o)]}c.layoutTextSize=u["text-size"].possiblyEvaluate(new Di(t.zoom+1),o),c.layoutIconSize=u["icon-size"].possiblyEvaluate(new Di(t.zoom+1),o),c.textMaxSize=u["text-size"].possiblyEvaluate(new Di(18));for(var y=l.get("text-line-height")*Ll,m="map"===l.get("text-rotation-alignment")&&"point"!==l.get("symbol-placement"),x=l.get("text-keep-upright"),b=l.get("text-size"),_=function(){var a=T[w],s=l.get("text-font").evaluate(a,{},o).join(","),u=b.evaluate(a,{},o),f=c.layoutTextSize.evaluate(a,{},o),h=c.layoutIconSize.evaluate(a,{},o),p={horizontal:{},vertical:void 0},d=a.text,v=[0,0];if(d){var g=d.toString(),_=l.get("text-letter-spacing").evaluate(a,{},o)*Ll,A=function(t){for(var e=0,r=t;e=po||f.y<0||f.y>=po||function(t,e,r,n,i,a,o,s,l,u,c,f,h,p,d,v,g,y,m,x,b,_,w,T,A){var M,S,E,L,C,P=t.addToLineVertexArray(e,r),O=0,I=0,D=0,z=0,R=-1,F=-1,B={},N=ja(""),j=0,U=0;if(void 0===s._unevaluatedLayout.getValue("text-radial-offset")?(j=(M=s.layout.get("text-offset").evaluate(b,{},T).map((function(t){return t*Ll})))[0],U=M[1]):(j=s.layout.get("text-radial-offset").evaluate(b,{},T)*Ll,U=Ju),t.allowVerticalPlacement&&n.vertical){var V=s.layout.get("text-rotate").evaluate(b,{},T)+90,q=n.vertical;L=new Hu(l,e,u,c,f,q,h,p,d,V),o&&(C=new Hu(l,e,u,c,f,o,g,y,d,V))}if(i){var H=s.layout.get("icon-rotate").evaluate(b,{}),G="none"!==s.layout.get("icon-text-fit"),W=Nu(i,H,w,G),Y=o?Nu(o,H,w,G):void 0;E=new Hu(l,e,u,c,f,i,g,y,!1,H),O=4*W.length;var X=t.iconSizeData,Z=null;"source"===X.kind?(Z=[Au*s.layout.get("icon-size").evaluate(b,{})])[0]>ec&&k(t.layerIds[0]+': Value for "icon-size" is >= '+tc+'. Reduce your "icon-size".'):"composite"===X.kind&&((Z=[Au*_.compositeIconSizes[0].evaluate(b,{},T),Au*_.compositeIconSizes[1].evaluate(b,{},T)])[0]>ec||Z[1]>ec)&&k(t.layerIds[0]+': Value for "icon-size" is >= '+tc+'. Reduce your "icon-size".'),t.addSymbols(t.icon,W,Z,x,m,b,!1,e,P.lineStartIndex,P.lineLength,-1,T),R=t.icon.placedSymbolArray.length-1,Y&&(I=4*Y.length,t.addSymbols(t.icon,Y,Z,x,m,b,lu.vertical,e,P.lineStartIndex,P.lineLength,-1,T),F=t.icon.placedSymbolArray.length-1)}for(var K in n.horizontal){var J=n.horizontal[K];if(!S){N=ja(J.text);var $=s.layout.get("text-rotate").evaluate(b,{},T);S=new Hu(l,e,u,c,f,J,h,p,d,$)}var Q=1===J.positionedLines.length;if(D+=rc(t,e,J,a,s,d,b,v,P,n.vertical?lu.horizontal:lu.horizontalOnly,Q?Object.keys(n.horizontal):[K],B,R,_,T),Q)break}n.vertical&&(z+=rc(t,e,n.vertical,a,s,d,b,v,P,lu.vertical,["vertical"],B,F,_,T));var tt=S?S.boxStartIndex:t.collisionBoxArray.length,et=S?S.boxEndIndex:t.collisionBoxArray.length,rt=L?L.boxStartIndex:t.collisionBoxArray.length,nt=L?L.boxEndIndex:t.collisionBoxArray.length,it=E?E.boxStartIndex:t.collisionBoxArray.length,at=E?E.boxEndIndex:t.collisionBoxArray.length,ot=C?C.boxStartIndex:t.collisionBoxArray.length,st=C?C.boxEndIndex:t.collisionBoxArray.length,lt=-1,ut=function(t,e){return t&&t.circleDiameter?Math.max(t.circleDiameter,e):e};lt=ut(S,lt),lt=ut(L,lt),lt=ut(E,lt);var ct=(lt=ut(C,lt))>-1?1:0;ct&&(lt*=A/Ll),t.glyphOffsetArray.length>=hc.MAX_GLYPHS&&k("Too many glyphs being rendered in a tile. See https://github.com/mapbox/mapbox-gl-js/issues/2907"),void 0!==b.sortKey&&t.addToSortKeyRanges(t.symbolInstances.length,b.sortKey),t.symbolInstances.emplaceBack(e.x,e.y,B.right>=0?B.right:-1,B.center>=0?B.center:-1,B.left>=0?B.left:-1,B.vertical||-1,R,F,N,tt,et,rt,nt,it,at,ot,st,u,D,z,O,I,ct,0,h,j,U,lt)}(t,f,s,r,n,i,h,t.layers[0],t.collisionBoxArray,e.index,e.sourceLayerIndex,t.index,m,w,M,l,b,T,S,d,e,a,u,c,o)};if("line"===E)for(var O=0,I=Fu(e.geometry,0,0,po,po);O1){var U=Du(j,A,r.vertical||v,n,g,x);U&&P(j,U)}}else if("Polygon"===e.type)for(var V=0,q=Fs(e.geometry,0);V=E.maxzoom||"none"!==E.visibility&&(o(S,this.zoom,n),(v[E.id]=E.createBucket({index:c.bucketLayerIDs.length,layers:S,zoom:this.zoom,pixelRatio:this.pixelRatio,overscaling:this.overscaling,collisionBoxArray:this.collisionBoxArray,sourceLayerIndex:b,sourceID:this.source})).populate(_,g,this.tileID.canonical),c.bucketLayerIDs.push(S.map((function(t){return t.id}))))}}}var L=t.mapObject(g.glyphDependencies,(function(t){return Object.keys(t).map(Number)}));Object.keys(L).length?a.send("getGlyphs",{uid:this.uid,stacks:L},(function(t,e){f||(f=t,h=e,O.call(l))})):h={};var C=Object.keys(g.iconDependencies);C.length?a.send("getImages",{icons:C,source:this.source,tileID:this.tileID,type:"icons"},(function(t,e){f||(f=t,p=e,O.call(l))})):p={};var P=Object.keys(g.patternDependencies);function O(){if(f)return s(f);if(h&&p&&d){var e=new i(h),r=new t.ImageAtlas(p,d);for(var a in v){var l=v[a];l instanceof t.SymbolBucket?(o(l.layers,this.zoom,n),t.performSymbolLayout(l,h,e.positions,p,r.iconPositions,this.showCollisionBoxes,this.tileID.canonical)):l.hasPattern&&(l instanceof t.LineBucket||l instanceof t.FillBucket||l instanceof t.FillExtrusionBucket)&&(o(l.layers,this.zoom,n),l.addFeatures(g,this.tileID.canonical,r.patternPositions))}this.status="done",s(null,{buckets:t.values(v).filter((function(t){return!t.isEmpty()})),featureIndex:c,collisionBoxArray:this.collisionBoxArray,glyphAtlasImage:e.image,imageAtlas:r,glyphMap:this.returnDependencies?h:null,iconMap:this.returnDependencies?p:null,glyphPositions:this.returnDependencies?e.positions:null})}}P.length?a.send("getImages",{icons:P,source:this.source,tileID:this.tileID,type:"patterns"},(function(t,e){f||(f=t,d=e,O.call(l))})):d={},O.call(this)};var l=function(t,e,r,n){this.actor=t,this.layerIndex=e,this.availableImages=r,this.loadVectorData=n||s,this.loading={},this.loaded={}};l.prototype.loadTile=function(e,r){var n=this,i=e.uid;this.loading||(this.loading={});var o=!!(e&&e.request&&e.request.collectResourceTiming)&&new t.RequestPerformance(e.request),s=this.loading[i]=new a(e);s.abort=this.loadVectorData(e,(function(e,a){if(delete n.loading[i],e||!a)return s.status="done",n.loaded[i]=s,r(e);var l=a.rawData,u={};a.expires&&(u.expires=a.expires),a.cacheControl&&(u.cacheControl=a.cacheControl);var c={};if(o){var f=o.finish();f&&(c.resourceTiming=JSON.parse(JSON.stringify(f)))}s.vectorTile=a.vectorTile,s.parse(a.vectorTile,n.layerIndex,n.availableImages,n.actor,(function(e,n){if(e||!n)return r(e);r(null,t.extend({rawTileData:l.slice(0)},n,u,c))})),n.loaded=n.loaded||{},n.loaded[i]=s}))},l.prototype.reloadTile=function(t,e){var r=this,n=this.loaded,i=t.uid,a=this;if(n&&n[i]){var o=n[i];o.showCollisionBoxes=t.showCollisionBoxes;var s=function(t,n){var i=o.reloadCallback;i&&(delete o.reloadCallback,o.parse(o.vectorTile,a.layerIndex,r.availableImages,a.actor,i)),e(t,n)};"parsing"===o.status?o.reloadCallback=s:"done"===o.status&&(o.vectorTile?o.parse(o.vectorTile,this.layerIndex,this.availableImages,this.actor,s):s())}},l.prototype.abortTile=function(t,e){var r=this.loading,n=t.uid;r&&r[n]&&r[n].abort&&(r[n].abort(),delete r[n]),e()},l.prototype.removeTile=function(t,e){var r=this.loaded,n=t.uid;r&&r[n]&&delete r[n],e()};var u=t.window.ImageBitmap,c=function(){this.loaded={}};c.prototype.loadTile=function(e,r){var n=e.uid,i=e.encoding,a=e.rawImageData,o=u&&a instanceof u?this.getImageData(a):a,s=new t.DEMData(n,o,i);this.loaded=this.loaded||{},this.loaded[n]=s,r(null,s)},c.prototype.getImageData=function(e){this.offscreenCanvas&&this.offscreenCanvasContext||(this.offscreenCanvas=new OffscreenCanvas(e.width,e.height),this.offscreenCanvasContext=this.offscreenCanvas.getContext("2d")),this.offscreenCanvas.width=e.width,this.offscreenCanvas.height=e.height,this.offscreenCanvasContext.drawImage(e,0,0,e.width,e.height);var r=this.offscreenCanvasContext.getImageData(-1,-1,e.width+2,e.height+2);return this.offscreenCanvasContext.clearRect(0,0,this.offscreenCanvas.width,this.offscreenCanvas.height),new t.RGBAImage({width:r.width,height:r.height},r.data)},c.prototype.removeTile=function(t){var e=this.loaded,r=t.uid;e&&e[r]&&delete e[r]};var f=function t(e,r){var n,i=e&&e.type;if("FeatureCollection"===i)for(n=0;n=0!=!!e&&t.reverse()}var d=t.vectorTile.VectorTileFeature.prototype.toGeoJSON,v=function(e){this._feature=e,this.extent=t.EXTENT,this.type=e.type,this.properties=e.tags,"id"in e&&!isNaN(e.id)&&(this.id=parseInt(e.id,10))};v.prototype.loadGeometry=function(){if(1===this._feature.type){for(var e=[],r=0,n=this._feature.geometry;r>31}function P(t,e){for(var r=t.loadGeometry(),n=t.type,i=0,a=0,o=r.length,s=0;s>1;D(t,e,o,n,i,a%2),I(t,e,r,n,o-1,a+1),I(t,e,r,o+1,i,a+1)}}function D(t,e,r,n,i,a){for(;i>n;){if(i-n>600){var o=i-n+1,s=r-n+1,l=Math.log(o),u=.5*Math.exp(2*l/3),c=.5*Math.sqrt(l*u*(o-u)/o)*(s-o/2<0?-1:1);D(t,e,r,Math.max(n,Math.floor(r-s*u/o+c)),Math.min(i,Math.floor(r+(o-s)*u/o+c)),a)}var f=e[2*r+a],h=n,p=i;for(z(t,e,n,r),e[2*i+a]>f&&z(t,e,n,i);hf;)p--}e[2*n+a]===f?z(t,e,n,p):z(t,e,++p,i),p<=r&&(n=p+1),r<=p&&(i=p-1)}}function z(t,e,r,n){R(t,r,n),R(e,2*r,2*n),R(e,2*r+1,2*n+1)}function R(t,e,r){var n=t[e];t[e]=t[r],t[r]=n}function F(t,e,r,n){var i=t-r,a=e-n;return i*i+a*a}_.fromVectorTileJs=w,_.fromGeojsonVt=T,_.GeoJSONWrapper=k;var B=function(t){return t[0]},N=function(t){return t[1]},j=function(t,e,r,n,i){void 0===e&&(e=B),void 0===r&&(r=N),void 0===n&&(n=64),void 0===i&&(i=Float64Array),this.nodeSize=n,this.points=t;for(var a=t.length<65536?Uint16Array:Uint32Array,o=this.ids=new a(t.length),s=this.coords=new i(2*t.length),l=0;l=r&&s<=i&&l>=n&&l<=a&&c.push(t[d]);else{var v=Math.floor((p+h)/2);s=e[2*v],l=e[2*v+1],s>=r&&s<=i&&l>=n&&l<=a&&c.push(t[v]);var g=(f+1)%2;(0===f?r<=s:n<=l)&&(u.push(p),u.push(v-1),u.push(g)),(0===f?i>=s:a>=l)&&(u.push(v+1),u.push(h),u.push(g))}}return c}(this.ids,this.coords,t,e,r,n,this.nodeSize)},j.prototype.within=function(t,e,r){return function(t,e,r,n,i,a){for(var o=[0,t.length-1,0],s=[],l=i*i;o.length;){var u=o.pop(),c=o.pop(),f=o.pop();if(c-f<=a)for(var h=f;h<=c;h++)F(e[2*h],e[2*h+1],r,n)<=l&&s.push(t[h]);else{var p=Math.floor((f+c)/2),d=e[2*p],v=e[2*p+1];F(d,v,r,n)<=l&&s.push(t[p]);var g=(u+1)%2;(0===u?r-i<=d:n-i<=v)&&(o.push(f),o.push(p-1),o.push(g)),(0===u?r+i>=d:n+i>=v)&&(o.push(p+1),o.push(c),o.push(g))}}return s}(this.ids,this.coords,t,e,r,this.nodeSize)};var U={minZoom:0,maxZoom:16,minPoints:2,radius:40,extent:512,nodeSize:64,log:!1,generateId:!1,reduce:null,map:function(t){return t}},V=function(t){this.options=Z(Object.create(U),t),this.trees=new Array(this.options.maxZoom+1)};function q(t,e,r,n,i){return{x:t,y:e,zoom:1/0,id:r,parentId:-1,numPoints:n,properties:i}}function H(t,e){var r=t.geometry.coordinates,n=r[0],i=r[1];return{x:Y(n),y:X(i),zoom:1/0,index:e,parentId:-1}}function G(t){return{type:"Feature",id:t.id,properties:W(t),geometry:{type:"Point",coordinates:[(n=t.x,360*(n-.5)),(e=t.y,r=(180-360*e)*Math.PI/180,360*Math.atan(Math.exp(r))/Math.PI-90)]}};var e,r,n}function W(t){var e=t.numPoints,r=e>=1e4?Math.round(e/1e3)+"k":e>=1e3?Math.round(e/100)/10+"k":e;return Z(Z({},t.properties),{cluster:!0,cluster_id:t.id,point_count:e,point_count_abbreviated:r})}function Y(t){return t/360+.5}function X(t){var e=Math.sin(t*Math.PI/180),r=.5-.25*Math.log((1+e)/(1-e))/Math.PI;return r<0?0:r>1?1:r}function Z(t,e){for(var r in e)t[r]=e[r];return t}function K(t){return t.x}function J(t){return t.y}function $(t,e,r,n){for(var i,a=n,o=r-e>>1,s=r-e,l=t[e],u=t[e+1],c=t[r],f=t[r+1],h=e+3;ha)i=h,a=p;else if(p===a){var d=Math.abs(h-o);dn&&(i-e>3&&$(t,e,i,n),t[i+2]=a,r-i>3&&$(t,i,r,n))}function Q(t,e,r,n,i,a){var o=i-r,s=a-n;if(0!==o||0!==s){var l=((t-r)*o+(e-n)*s)/(o*o+s*s);l>1?(r=i,n=a):l>0&&(r+=o*l,n+=s*l)}return(o=t-r)*o+(s=e-n)*s}function tt(t,e,r,n){var i={id:void 0===t?null:t,type:e,geometry:r,tags:n,minX:1/0,minY:1/0,maxX:-1/0,maxY:-1/0};return function(t){var e=t.geometry,r=t.type;if("Point"===r||"MultiPoint"===r||"LineString"===r)et(t,e);else if("Polygon"===r||"MultiLineString"===r)for(var n=0;n0&&(o+=n?(i*u-l*a)/2:Math.sqrt(Math.pow(l-i,2)+Math.pow(u-a,2))),i=l,a=u}var c=e.length-3;e[2]=1,$(e,0,c,r),e[c+2]=1,e.size=Math.abs(o),e.start=0,e.end=e.size}function at(t,e,r,n){for(var i=0;i1?1:r}function lt(t,e,r,n,i,a,o,s){if(n/=e,a>=(r/=e)&&o=n)return null;for(var l=[],u=0;u=r&&d=n)){var v=[];if("Point"===h||"MultiPoint"===h)ut(f,v,r,n,i);else if("LineString"===h)ct(f,v,r,n,i,!1,s.lineMetrics);else if("MultiLineString"===h)ht(f,v,r,n,i,!1);else if("Polygon"===h)ht(f,v,r,n,i,!0);else if("MultiPolygon"===h)for(var g=0;g=r&&o<=n&&(e.push(t[a]),e.push(t[a+1]),e.push(t[a+2]))}}function ct(t,e,r,n,i,a,o){for(var s,l,u=ft(t),c=0===i?dt:vt,f=t.start,h=0;hr&&(l=c(u,p,d,g,y,r),o&&(u.start=f+s*l)):m>n?x=r&&(l=c(u,p,d,g,y,r),b=!0),x>n&&m<=n&&(l=c(u,p,d,g,y,n),b=!0),!a&&b&&(o&&(u.end=f+s*l),e.push(u),u=ft(t)),o&&(f+=s)}var _=t.length-3;p=t[_],d=t[_+1],v=t[_+2],(m=0===i?p:d)>=r&&m<=n&&pt(u,p,d,v),_=u.length-3,a&&_>=3&&(u[_]!==u[0]||u[_+1]!==u[1])&&pt(u,u[0],u[1],u[2]),u.length&&e.push(u)}function ft(t){var e=[];return e.size=t.size,e.start=t.start,e.end=t.end,e}function ht(t,e,r,n,i,a){for(var o=0;oo.maxX&&(o.maxX=c),f>o.maxY&&(o.maxY=f)}return o}function _t(t,e,r,n){var i=e.geometry,a=e.type,o=[];if("Point"===a||"MultiPoint"===a)for(var s=0;s0&&e.size<(i?o:n))r.numPoints+=e.length/3;else{for(var s=[],l=0;lo)&&(r.numSimplified++,s.push(e[l]),s.push(e[l+1])),r.numPoints++;i&&function(t,e){for(var r=0,n=0,i=t.length,a=i-2;n0===e)for(n=0,i=t.length;n24)throw new Error("maxZoom should be in the 0-24 range");if(e.promoteId&&e.generateId)throw new Error("promoteId and generateId cannot be used together.");var n=function(t,e){var r=[];if("FeatureCollection"===t.type)for(var n=0;n=n;u--){var c=+Date.now();s=this._cluster(s,u),this.trees[u]=new j(s,K,J,a,Float32Array),r&&console.log("z%d: %d clusters in %dms",u,s.length,+Date.now()-c)}return r&&console.timeEnd("total time"),this},V.prototype.getClusters=function(t,e){var r=((t[0]+180)%360+360)%360-180,n=Math.max(-90,Math.min(90,t[1])),i=180===t[2]?180:((t[2]+180)%360+360)%360-180,a=Math.max(-90,Math.min(90,t[3]));if(t[2]-t[0]>=360)r=-180,i=180;else if(r>i){var o=this.getClusters([r,n,180,a],e),s=this.getClusters([-180,n,i,a],e);return o.concat(s)}for(var l=this.trees[this._limitZoom(e)],u=[],c=0,f=l.range(Y(r),X(a),Y(i),X(n));ce&&(d+=m.numPoints||1)}if(d>=s){for(var x=c.x*p,b=c.y*p,_=o&&p>1?this._map(c,!0):null,w=(u<<5)+(e+1)+this.points.length,T=0,k=h;T1)for(var E=0,L=h;E>5},V.prototype._getOriginZoom=function(t){return(t-this.points.length)%32},V.prototype._map=function(t,e){if(t.numPoints)return e?Z({},t.properties):t.properties;var r=this.points[t.index].properties,n=this.options.map(r);return e&&n===r?Z({},n):n},Tt.prototype.options={maxZoom:14,indexMaxZoom:5,indexMaxPoints:1e5,tolerance:3,extent:4096,buffer:64,lineMetrics:!1,promoteId:null,generateId:!1,debug:0},Tt.prototype.splitTile=function(t,e,r,n,i,a,o){for(var s=[t,e,r,n],l=this.options,u=l.debug;s.length;){n=s.pop(),r=s.pop(),e=s.pop(),t=s.pop();var c=1<1&&console.time("creation"),h=this.tiles[f]=bt(t,e,r,n,l),this.tileCoords.push({z:e,x:r,y:n}),u)){u>1&&(console.log("tile z%d-%d-%d (features: %d, points: %d, simplified: %d)",e,r,n,h.numFeatures,h.numPoints,h.numSimplified),console.timeEnd("creation"));var p="z"+e;this.stats[p]=(this.stats[p]||0)+1,this.total++}if(h.source=t,i){if(e===l.maxZoom||e===i)continue;var d=1<1&&console.time("clipping");var v,g,y,m,x,b,_=.5*l.buffer/l.extent,w=.5-_,T=.5+_,k=1+_;v=g=y=m=null,x=lt(t,c,r-_,r+T,0,h.minX,h.maxX,l),b=lt(t,c,r+w,r+k,0,h.minX,h.maxX,l),t=null,x&&(v=lt(x,c,n-_,n+T,1,h.minY,h.maxY,l),g=lt(x,c,n+w,n+k,1,h.minY,h.maxY,l),x=null),b&&(y=lt(b,c,n-_,n+T,1,h.minY,h.maxY,l),m=lt(b,c,n+w,n+k,1,h.minY,h.maxY,l),b=null),u>1&&console.timeEnd("clipping"),s.push(v||[],e+1,2*r,2*n),s.push(g||[],e+1,2*r,2*n+1),s.push(y||[],e+1,2*r+1,2*n),s.push(m||[],e+1,2*r+1,2*n+1)}}},Tt.prototype.getTile=function(t,e,r){var n=this.options,i=n.extent,a=n.debug;if(t<0||t>24)return null;var o=1<1&&console.log("drilling down to z%d-%d-%d",t,e,r);for(var l,u=t,c=e,f=r;!l&&u>0;)u--,c=Math.floor(c/2),f=Math.floor(f/2),l=this.tiles[kt(u,c,f)];return l&&l.source?(a>1&&console.log("found parent tile z%d-%d-%d",u,c,f),a>1&&console.time("drilling down"),this.splitTile(l.source,u,c,f,t,e,r),a>1&&console.timeEnd("drilling down"),this.tiles[s]?mt(this.tiles[s],i):null):null};var Mt=function(e){function r(t,r,n,i){e.call(this,t,r,n,At),i&&(this.loadGeoJSON=i)}return e&&(r.__proto__=e),r.prototype=Object.create(e&&e.prototype),r.prototype.constructor=r,r.prototype.loadData=function(t,e){this._pendingCallback&&this._pendingCallback(null,{abandoned:!0}),this._pendingCallback=e,this._pendingLoadDataParams=t,this._state&&"Idle"!==this._state?this._state="NeedsLoadData":(this._state="Coalescing",this._loadData())},r.prototype._loadData=function(){var e=this;if(this._pendingCallback&&this._pendingLoadDataParams){var r=this._pendingCallback,n=this._pendingLoadDataParams;delete this._pendingCallback,delete this._pendingLoadDataParams;var i=!!(n&&n.request&&n.request.collectResourceTiming)&&new t.RequestPerformance(n.request);this.loadGeoJSON(n,(function(a,o){if(a||!o)return r(a);if("object"!=typeof o)return r(new Error("Input data given to '"+n.source+"' is not a valid GeoJSON object."));f(o,!0);try{if(n.filter){var s=t.createExpression(n.filter,{type:"boolean","property-type":"data-driven",overridable:!1,transition:!1});if("error"===s.result)throw new Error(s.value.map((function(t){return t.key+": "+t.message})).join(", "));var l=o.features.filter((function(t){return s.value.evaluate({zoom:0},t)}));o={type:"FeatureCollection",features:l}}e._geoJSONIndex=n.cluster?new V(function(e){var r=e.superclusterOptions,n=e.clusterProperties;if(!n||!r)return r;for(var i={},a={},o={accumulated:null,zoom:0},s={properties:null},l=Object.keys(n),u=0,c=l;u=0?0:e.button},r.remove=function(t){t.parentNode&&t.parentNode.removeChild(t)};var h=function(e){function r(){e.call(this),this.images={},this.updatedImages={},this.callbackDispatchedThisFrame={},this.loaded=!1,this.requestors=[],this.patterns={},this.atlasImage=new t.RGBAImage({width:1,height:1}),this.dirty=!0}return e&&(r.__proto__=e),r.prototype=Object.create(e&&e.prototype),r.prototype.constructor=r,r.prototype.isLoaded=function(){return this.loaded},r.prototype.setLoaded=function(t){if(this.loaded!==t&&(this.loaded=t,t)){for(var e=0,r=this.requestors;e=0?1.2:1))}function y(t,e,r,n,i,a,o){for(var s=0;s65535)e(new Error("glyphs > 65535 not supported"));else if(a.ranges[s])e(null,{stack:r,id:i,glyph:o});else{var l=a.requests[s];l||(l=a.requests[s]=[],x.loadGlyphRange(r,s,n.url,n.requestManager,(function(t,e){if(e){for(var r in e)n._doesCharSupportLocalGlyph(+r)||(a.glyphs[+r]=e[+r]);a.ranges[s]=!0}for(var i=0,o=l;i1&&(l=t[++s]);var c=Math.abs(u-l.left),f=Math.abs(u-l.right),h=Math.min(c,f),p=void 0,d=i/r*(n+1);if(l.isDash){var v=n-Math.abs(d);p=Math.sqrt(h*h+v*v)}else p=n-Math.sqrt(h*h+d*d);this.data[o+u]=Math.max(0,Math.min(255,p+128))}},k.prototype.addRegularDash=function(t){for(var e=t.length-1;e>=0;--e){var r=t[e],n=t[e+1];r.zeroLength?t.splice(e,1):n&&n.isDash===r.isDash&&(n.left=r.left,t.splice(e,1))}var i=t[0],a=t[t.length-1];i.isDash===a.isDash&&(i.left=a.left-this.width,a.right=i.right+this.width);for(var o=this.width*this.nextRow,s=0,l=t[s],u=0;u1&&(l=t[++s]);var c=Math.abs(u-l.left),f=Math.abs(u-l.right),h=Math.min(c,f),p=l.isDash?h:-h;this.data[o+u]=Math.max(0,Math.min(255,p+128))}},k.prototype.addDash=function(e,r){var n=r?7:0,i=2*n+1;if(this.nextRow+i>this.height)return t.warnOnce("LineAtlas out of space"),null;for(var a=0,o=0;o=n&&e.x=i&&e.y0&&(l[new t.OverscaledTileID(e.overscaledZ,a,r.z,i,r.y-1).key]={backfilled:!1},l[new t.OverscaledTileID(e.overscaledZ,e.wrap,r.z,r.x,r.y-1).key]={backfilled:!1},l[new t.OverscaledTileID(e.overscaledZ,s,r.z,o,r.y-1).key]={backfilled:!1}),r.y+10&&(n.resourceTiming=e._resourceTiming,e._resourceTiming=[]),e.fire(new t.Event("data",n))}}))},r.prototype.onAdd=function(t){this.map=t,this.load()},r.prototype.setData=function(e){var r=this;return this._data=e,this.fire(new t.Event("dataloading",{dataType:"source"})),this._updateWorkerData((function(e){if(e)r.fire(new t.ErrorEvent(e));else{var n={dataType:"source",sourceDataType:"content"};r._collectResourceTiming&&r._resourceTiming&&r._resourceTiming.length>0&&(n.resourceTiming=r._resourceTiming,r._resourceTiming=[]),r.fire(new t.Event("data",n))}})),this},r.prototype.getClusterExpansionZoom=function(t,e){return this.actor.send("geojson.getClusterExpansionZoom",{clusterId:t,source:this.id},e),this},r.prototype.getClusterChildren=function(t,e){return this.actor.send("geojson.getClusterChildren",{clusterId:t,source:this.id},e),this},r.prototype.getClusterLeaves=function(t,e,r,n){return this.actor.send("geojson.getClusterLeaves",{source:this.id,clusterId:t,limit:e,offset:r},n),this},r.prototype._updateWorkerData=function(e){var r=this;this._loaded=!1;var n=t.extend({},this.workerOptions),i=this._data;"string"==typeof i?(n.request=this.map._requestManager.transformRequest(t.browser.resolveURL(i),t.ResourceType.Source),n.request.collectResourceTiming=this._collectResourceTiming):n.data=JSON.stringify(i),this.actor.send(this.type+".loadData",n,(function(t,i){r._removed||i&&i.abandoned||(r._loaded=!0,i&&i.resourceTiming&&i.resourceTiming[r.id]&&(r._resourceTiming=i.resourceTiming[r.id].slice(0)),r.actor.send(r.type+".coalesce",{source:n.source},null),e(t))}))},r.prototype.loaded=function(){return this._loaded},r.prototype.loadTile=function(e,r){var n=this,i=e.actor?"reloadTile":"loadTile";e.actor=this.actor;var a={type:this.type,uid:e.uid,tileID:e.tileID,zoom:e.tileID.overscaledZ,maxZoom:this.maxzoom,tileSize:this.tileSize,source:this.id,pixelRatio:t.browser.devicePixelRatio,showCollisionBoxes:this.map.showCollisionBoxes,promoteId:this.promoteId};e.request=this.actor.send(i,a,(function(t,a){return delete e.request,e.unloadVectorData(),e.aborted?r(null):t?r(t):(e.loadVectorData(a,n.map.painter,"reloadTile"===i),r(null))}))},r.prototype.abortTile=function(t){t.request&&(t.request.cancel(),delete t.request),t.aborted=!0},r.prototype.unloadTile=function(t){t.unloadVectorData(),this.actor.send("removeTile",{uid:t.uid,type:this.type,source:this.id})},r.prototype.onRemove=function(){this._removed=!0,this.actor.send("removeSource",{type:this.type,source:this.id})},r.prototype.serialize=function(){return t.extend({},this._options,{type:this.type,data:this._data})},r.prototype.hasTransition=function(){return!1},r}(t.Evented),O=t.createLayout([{name:"a_pos",type:"Int16",components:2},{name:"a_texture_pos",type:"Int16",components:2}]),I=function(e){function r(t,r,n,i){e.call(this),this.id=t,this.dispatcher=n,this.coordinates=r.coordinates,this.type="image",this.minzoom=0,this.maxzoom=22,this.tileSize=512,this.tiles={},this._loaded=!1,this.setEventedParent(i),this.options=r}return e&&(r.__proto__=e),r.prototype=Object.create(e&&e.prototype),r.prototype.constructor=r,r.prototype.load=function(e,r){var n=this;this._loaded=!1,this.fire(new t.Event("dataloading",{dataType:"source"})),this.url=this.options.url,t.getImage(this.map._requestManager.transformRequest(this.url,t.ResourceType.Image),(function(i,a){n._loaded=!0,i?n.fire(new t.ErrorEvent(i)):a&&(n.image=a,e&&(n.coordinates=e),r&&r(),n._finishLoading())}))},r.prototype.loaded=function(){return this._loaded},r.prototype.updateImage=function(t){var e=this;return this.image&&t.url?(this.options.url=t.url,this.load(t.coordinates,(function(){e.texture=null})),this):this},r.prototype._finishLoading=function(){this.map&&(this.setCoordinates(this.coordinates),this.fire(new t.Event("data",{dataType:"source",sourceDataType:"metadata"})))},r.prototype.onAdd=function(t){this.map=t,this.load()},r.prototype.setCoordinates=function(e){var r=this;this.coordinates=e;var n=e.map(t.MercatorCoordinate.fromLngLat);this.tileID=function(e){for(var r=1/0,n=1/0,i=-1/0,a=-1/0,o=0,s=e;or.end(0)?this.fire(new t.ErrorEvent(new t.ValidationError("sources."+this.id,null,"Playback for this video can be set only between the "+r.start(0)+" and "+r.end(0)+"-second mark."))):this.video.currentTime=e}},r.prototype.getVideo=function(){return this.video},r.prototype.onAdd=function(t){this.map||(this.map=t,this.load(),this.video&&(this.video.play(),this.setCoordinates(this.coordinates)))},r.prototype.prepare=function(){if(!(0===Object.keys(this.tiles).length||this.video.readyState<2)){var e=this.map.painter.context,r=e.gl;for(var n in this.boundsBuffer||(this.boundsBuffer=e.createVertexBuffer(this._boundsArray,O.members)),this.boundsSegments||(this.boundsSegments=t.SegmentVector.simpleSegment(0,0,4,2)),this.texture?this.video.paused||(this.texture.bind(r.LINEAR,r.CLAMP_TO_EDGE),r.texSubImage2D(r.TEXTURE_2D,0,0,0,r.RGBA,r.UNSIGNED_BYTE,this.video)):(this.texture=new t.Texture(e,this.video,r.RGBA),this.texture.bind(r.LINEAR,r.CLAMP_TO_EDGE)),this.tiles){var i=this.tiles[n];"loaded"!==i.state&&(i.state="loaded",i.texture=this.texture)}}},r.prototype.serialize=function(){return{type:"video",urls:this.urls,coordinates:this.coordinates}},r.prototype.hasTransition=function(){return this.video&&!this.video.paused},r}(I),z=function(e){function r(r,n,i,a){e.call(this,r,n,i,a),n.coordinates?Array.isArray(n.coordinates)&&4===n.coordinates.length&&!n.coordinates.some((function(t){return!Array.isArray(t)||2!==t.length||t.some((function(t){return"number"!=typeof t}))}))||this.fire(new t.ErrorEvent(new t.ValidationError("sources."+r,null,'"coordinates" property must be an array of 4 longitude/latitude array pairs'))):this.fire(new t.ErrorEvent(new t.ValidationError("sources."+r,null,'missing required property "coordinates"'))),n.animate&&"boolean"!=typeof n.animate&&this.fire(new t.ErrorEvent(new t.ValidationError("sources."+r,null,'optional "animate" property must be a boolean value'))),n.canvas?"string"==typeof n.canvas||n.canvas instanceof t.window.HTMLCanvasElement||this.fire(new t.ErrorEvent(new t.ValidationError("sources."+r,null,'"canvas" must be either a string representing the ID of the canvas element from which to read, or an HTMLCanvasElement instance'))):this.fire(new t.ErrorEvent(new t.ValidationError("sources."+r,null,'missing required property "canvas"'))),this.options=n,this.animate=void 0===n.animate||n.animate}return e&&(r.__proto__=e),r.prototype=Object.create(e&&e.prototype),r.prototype.constructor=r,r.prototype.load=function(){this._loaded=!0,this.canvas||(this.canvas=this.options.canvas instanceof t.window.HTMLCanvasElement?this.options.canvas:t.window.document.getElementById(this.options.canvas)),this.width=this.canvas.width,this.height=this.canvas.height,this._hasInvalidDimensions()?this.fire(new t.ErrorEvent(new Error("Canvas dimensions cannot be less than or equal to zero."))):(this.play=function(){this._playing=!0,this.map.triggerRepaint()},this.pause=function(){this._playing&&(this.prepare(),this._playing=!1)},this._finishLoading())},r.prototype.getCanvas=function(){return this.canvas},r.prototype.onAdd=function(t){this.map=t,this.load(),this.canvas&&this.animate&&this.play()},r.prototype.onRemove=function(){this.pause()},r.prototype.prepare=function(){var e=!1;if(this.canvas.width!==this.width&&(this.width=this.canvas.width,e=!0),this.canvas.height!==this.height&&(this.height=this.canvas.height,e=!0),!this._hasInvalidDimensions()&&0!==Object.keys(this.tiles).length){var r=this.map.painter.context,n=r.gl;for(var i in this.boundsBuffer||(this.boundsBuffer=r.createVertexBuffer(this._boundsArray,O.members)),this.boundsSegments||(this.boundsSegments=t.SegmentVector.simpleSegment(0,0,4,2)),this.texture?(e||this._playing)&&this.texture.update(this.canvas,{premultiply:!0}):this.texture=new t.Texture(r,this.canvas,n.RGBA,{premultiply:!0}),this.tiles){var a=this.tiles[i];"loaded"!==a.state&&(a.state="loaded",a.texture=this.texture)}}},r.prototype.serialize=function(){return{type:"canvas",coordinates:this.coordinates}},r.prototype.hasTransition=function(){return this._playing},r.prototype._hasInvalidDimensions=function(){for(var t=0,e=[this.canvas.width,this.canvas.height];tthis.max){var o=this._getAndRemoveByKey(this.order[0]);o&&this.onRemove(o)}return this},j.prototype.has=function(t){return t.wrapped().key in this.data},j.prototype.getAndRemove=function(t){return this.has(t)?this._getAndRemoveByKey(t.wrapped().key):null},j.prototype._getAndRemoveByKey=function(t){var e=this.data[t].shift();return e.timeout&&clearTimeout(e.timeout),0===this.data[t].length&&delete this.data[t],this.order.splice(this.order.indexOf(t),1),e.value},j.prototype.getByKey=function(t){var e=this.data[t];return e?e[0].value:null},j.prototype.get=function(t){return this.has(t)?this.data[t.wrapped().key][0].value:null},j.prototype.remove=function(t,e){if(!this.has(t))return this;var r=t.wrapped().key,n=void 0===e?0:this.data[r].indexOf(e),i=this.data[r][n];return this.data[r].splice(n,1),i.timeout&&clearTimeout(i.timeout),0===this.data[r].length&&delete this.data[r],this.onRemove(i.value),this.order.splice(this.order.indexOf(r),1),this},j.prototype.setMaxSize=function(t){for(this.max=t;this.order.length>this.max;){var e=this._getAndRemoveByKey(this.order[0]);e&&this.onRemove(e)}return this},j.prototype.filter=function(t){var e=[];for(var r in this.data)for(var n=0,i=this.data[r];n1||(Math.abs(r)>1&&(1===Math.abs(r+i)?r+=i:1===Math.abs(r-i)&&(r-=i)),e.dem&&t.dem&&(t.dem.backfillBorder(e.dem,r,n),t.neighboringTiles&&t.neighboringTiles[a]&&(t.neighboringTiles[a].backfilled=!0)))}},r.prototype.getTile=function(t){return this.getTileByID(t.key)},r.prototype.getTileByID=function(t){return this._tiles[t]},r.prototype._retainLoadedChildren=function(t,e,r,n){for(var i in this._tiles){var a=this._tiles[i];if(!(n[i]||!a.hasData()||a.tileID.overscaledZ<=e||a.tileID.overscaledZ>r)){for(var o=a.tileID;a&&a.tileID.overscaledZ>e+1;){var s=a.tileID.scaledTo(a.tileID.overscaledZ-1);(a=this._tiles[s.key])&&a.hasData()&&(o=s)}for(var l=o;l.overscaledZ>e;)if(t[(l=l.scaledTo(l.overscaledZ-1)).key]){n[o.key]=o;break}}}},r.prototype.findLoadedParent=function(t,e){if(t.key in this._loadedParentTiles){var r=this._loadedParentTiles[t.key];return r&&r.tileID.overscaledZ>=e?r:null}for(var n=t.overscaledZ-1;n>=e;n--){var i=t.scaledTo(n),a=this._getLoadedTile(i);if(a)return a}},r.prototype._getLoadedTile=function(t){var e=this._tiles[t.key];return e&&e.hasData()?e:this._cache.getByKey(t.wrapped().key)},r.prototype.updateCacheSize=function(t){var e=(Math.ceil(t.width/this._source.tileSize)+1)*(Math.ceil(t.height/this._source.tileSize)+1),r=Math.floor(5*e),n="number"==typeof this._maxTileCacheSize?Math.min(this._maxTileCacheSize,r):r;this._cache.setMaxSize(n)},r.prototype.handleWrapJump=function(t){var e=(t-(void 0===this._prevLng?t:this._prevLng))/360,r=Math.round(e);if(this._prevLng=t,r){var n={};for(var i in this._tiles){var a=this._tiles[i];a.tileID=a.tileID.unwrapTo(a.tileID.wrap+r),n[a.tileID.key]=a}for(var o in this._tiles=n,this._timers)clearTimeout(this._timers[o]),delete this._timers[o];for(var s in this._tiles){var l=this._tiles[s];this._setTileReloadTimer(s,l)}}},r.prototype.update=function(e){var n=this;if(this.transform=e,this._sourceLoaded&&!this._paused){var i;this.updateCacheSize(e),this.handleWrapJump(this.transform.center.lng),this._coveredTiles={},this.used?this._source.tileID?i=e.getVisibleUnwrappedCoordinates(this._source.tileID).map((function(e){return new t.OverscaledTileID(e.canonical.z,e.wrap,e.canonical.z,e.canonical.x,e.canonical.y)})):(i=e.coveringTiles({tileSize:this._source.tileSize,minzoom:this._source.minzoom,maxzoom:this._source.maxzoom,roundZoom:this._source.roundZoom,reparseOverscaled:this._source.reparseOverscaled}),this._source.hasTile&&(i=i.filter((function(t){return n._source.hasTile(t)})))):i=[];var a=e.coveringZoomLevel(this._source),o=Math.max(a-r.maxOverzooming,this._source.minzoom),s=Math.max(a+r.maxUnderzooming,this._source.minzoom),l=this._updateRetainedTiles(i,a);if(Dt(this._source.type)){for(var u={},c={},f=0,h=Object.keys(l);fthis._source.maxzoom){var g=d.children(this._source.maxzoom)[0],y=this.getTile(g);if(y&&y.hasData()){n[g.key]=g;continue}}else{var m=d.children(this._source.maxzoom);if(n[m[0].key]&&n[m[1].key]&&n[m[2].key]&&n[m[3].key])continue}for(var x=v.wasRequested(),b=d.overscaledZ-1;b>=a;--b){var _=d.scaledTo(b);if(i[_.key])break;if(i[_.key]=!0,!(v=this.getTile(_))&&x&&(v=this._addTile(_)),v&&(n[_.key]=_,x=v.wasRequested(),v.hasData()))break}}}return n},r.prototype._updateLoadedParentTileCache=function(){for(var t in this._loadedParentTiles={},this._tiles){for(var e=[],r=void 0,n=this._tiles[t].tileID;n.overscaledZ>0;){if(n.key in this._loadedParentTiles){r=this._loadedParentTiles[n.key];break}e.push(n.key);var i=n.scaledTo(n.overscaledZ-1);if(r=this._getLoadedTile(i))break;n=i}for(var a=0,o=e;a0||(e.hasData()&&"reloading"!==e.state?this._cache.add(e.tileID,e,e.getExpiryTimeout()):(e.aborted=!0,this._abortTile(e),this._unloadTile(e))))},r.prototype.clearTiles=function(){for(var t in this._shouldReloadOnResume=!1,this._paused=!1,this._tiles)this._removeTile(t);this._cache.reset()},r.prototype.tilesIn=function(e,r,n){var i=this,a=[],o=this.transform;if(!o)return a;for(var s=n?o.getCameraQueryGeometry(e):e,l=e.map((function(t){return o.pointCoordinate(t)})),u=s.map((function(t){return o.pointCoordinate(t)})),c=this.getIds(),f=1/0,h=1/0,p=-1/0,d=-1/0,v=0,g=u;v=0&&y[1].y+g>=0){var m=l.map((function(t){return s.getTilePoint(t)})),x=u.map((function(t){return s.getTilePoint(t)}));a.push({tile:n,tileID:s,queryGeometry:m,cameraQueryGeometry:x,scale:v})}}},x=0;x=t.browser.now())return!0}return!1},r.prototype.setFeatureState=function(t,e,r){t=t||"_geojsonTileLayer",this._state.updateState(t,e,r)},r.prototype.removeFeatureState=function(t,e,r){t=t||"_geojsonTileLayer",this._state.removeFeatureState(t,e,r)},r.prototype.getFeatureState=function(t,e){return t=t||"_geojsonTileLayer",this._state.getState(t,e)},r.prototype.setDependencies=function(t,e,r){var n=this._tiles[t];n&&n.setDependencies(e,r)},r.prototype.reloadTilesForDependencies=function(t,e){for(var r in this._tiles)this._tiles[r].hasDependency(t,e)&&this._reloadTile(r,"reloading");this._cache.filter((function(r){return!r.hasDependency(t,e)}))},r}(t.Evented);function It(t,e){var r=Math.abs(2*t.wrap)-+(t.wrap<0),n=Math.abs(2*e.wrap)-+(e.wrap<0);return t.overscaledZ-e.overscaledZ||n-r||e.canonical.y-t.canonical.y||e.canonical.x-t.canonical.x}function Dt(t){return"raster"===t||"image"===t||"video"===t}function zt(){return new t.window.Worker(oa.workerUrl)}Ot.maxOverzooming=10,Ot.maxUnderzooming=3;var Rt="mapboxgl_preloaded_worker_pool",Ft=function(){this.active={}};Ft.prototype.acquire=function(t){if(!this.workers)for(this.workers=[];this.workers.length0?(i-o)/s:0;return this.points[a].mult(1-l).add(this.points[r].mult(l))};var Qt=function(t,e,r){var n=this.boxCells=[],i=this.circleCells=[];this.xCellCount=Math.ceil(t/r),this.yCellCount=Math.ceil(e/r);for(var a=0;a=-e[0]&&r<=e[0]&&n>=-e[1]&&n<=e[1]}function ae(e,r,n,i,a,o,s,l){var u=i?e.textSizeData:e.iconSizeData,c=t.evaluateSizeForZoom(u,n.transform.zoom),f=[256/n.width*2+1,256/n.height*2+1],h=i?e.text.dynamicLayoutVertexArray:e.icon.dynamicLayoutVertexArray;h.clear();for(var p=e.lineVertexArray,d=i?e.text.placedSymbolArray:e.icon.placedSymbolArray,v=n.transform.width/n.transform.height,g=!1,y=0;yMath.abs(n.x-r.x)*i?{useVertical:!0}:(e===t.WritingMode.vertical?r.yn.x)?{needsFlipping:!0}:null}function le(e,r,n,i,a,o,s,l,u,c,f,h,p,d){var v,g=r/24,y=e.lineOffsetX*g,m=e.lineOffsetY*g;if(e.numGlyphs>1){var x=e.glyphStartIndex+e.numGlyphs,b=e.lineStartIndex,_=e.lineStartIndex+e.lineLength,w=oe(g,l,y,m,n,f,h,e,u,o,p);if(!w)return{notEnoughRoom:!0};var T=re(w.first.point,s).point,k=re(w.last.point,s).point;if(i&&!n){var A=se(e.writingMode,T,k,d);if(A)return A}v=[w.first];for(var M=e.glyphStartIndex+1;M0?C.point:ue(h,L,S,1,a),O=se(e.writingMode,S,P,d);if(O)return O}var I=ce(g*l.getoffsetX(e.glyphStartIndex),y,m,n,f,h,e.segment,e.lineStartIndex,e.lineStartIndex+e.lineLength,u,o,p);if(!I)return{notEnoughRoom:!0};v=[I]}for(var D=0,z=v;D0?1:-1,v=0;i&&(d*=-1,v=Math.PI),d<0&&(v+=Math.PI);for(var g=d>0?l+s:l+s+1,y=a,m=a,x=0,b=0,_=Math.abs(p),w=[];x+b<=_;){if((g+=d)=u)return null;if(m=y,w.push(y),void 0===(y=h[g])){var T=new t.Point(c.getx(g),c.gety(g)),k=re(T,f);if(k.signedDistanceFromCamera>0)y=h[g]=k.point;else{var A=g-d;y=ue(0===x?o:new t.Point(c.getx(A),c.gety(A)),T,m,_-x+1,f)}}x+=b,b=m.dist(y)}var M=(_-x)/b,S=y.sub(m),E=S.mult(M)._add(m);E._add(S._unit()._perp()._mult(n*d));var L=v+Math.atan2(y.y-m.y,y.x-m.x);return w.push(E),{point:E,angle:L,path:w}}Qt.prototype.keysLength=function(){return this.boxKeys.length+this.circleKeys.length},Qt.prototype.insert=function(t,e,r,n,i){this._forEachCell(e,r,n,i,this._insertBoxCell,this.boxUid++),this.boxKeys.push(t),this.bboxes.push(e),this.bboxes.push(r),this.bboxes.push(n),this.bboxes.push(i)},Qt.prototype.insertCircle=function(t,e,r,n){this._forEachCell(e-n,r-n,e+n,r+n,this._insertCircleCell,this.circleUid++),this.circleKeys.push(t),this.circles.push(e),this.circles.push(r),this.circles.push(n)},Qt.prototype._insertBoxCell=function(t,e,r,n,i,a){this.boxCells[i].push(a)},Qt.prototype._insertCircleCell=function(t,e,r,n,i,a){this.circleCells[i].push(a)},Qt.prototype._query=function(t,e,r,n,i,a){if(r<0||t>this.width||n<0||e>this.height)return!i&&[];var o=[];if(t<=0&&e<=0&&this.width<=r&&this.height<=n){if(i)return!0;for(var s=0;s0:o},Qt.prototype._queryCircle=function(t,e,r,n,i){var a=t-r,o=t+r,s=e-r,l=e+r;if(o<0||a>this.width||l<0||s>this.height)return!n&&[];var u=[],c={hitTest:n,circle:{x:t,y:e,radius:r},seenUids:{box:{},circle:{}}};return this._forEachCell(a,s,o,l,this._queryCellCircle,u,c,i),n?u.length>0:u},Qt.prototype.query=function(t,e,r,n,i){return this._query(t,e,r,n,!1,i)},Qt.prototype.hitTest=function(t,e,r,n,i){return this._query(t,e,r,n,!0,i)},Qt.prototype.hitTestCircle=function(t,e,r,n){return this._queryCircle(t,e,r,!0,n)},Qt.prototype._queryCell=function(t,e,r,n,i,a,o,s){var l=o.seenUids,u=this.boxCells[i];if(null!==u)for(var c=this.bboxes,f=0,h=u;f=c[d+0]&&n>=c[d+1]&&(!s||s(this.boxKeys[p]))){if(o.hitTest)return a.push(!0),!0;a.push({key:this.boxKeys[p],x1:c[d],y1:c[d+1],x2:c[d+2],y2:c[d+3]})}}}var v=this.circleCells[i];if(null!==v)for(var g=this.circles,y=0,m=v;yo*o+s*s},Qt.prototype._circleAndRectCollide=function(t,e,r,n,i,a,o){var s=(a-n)/2,l=Math.abs(t-(n+s));if(l>s+r)return!1;var u=(o-i)/2,c=Math.abs(e-(i+u));if(c>u+r)return!1;if(l<=s||c<=u)return!0;var f=l-s,h=c-u;return f*f+h*h<=r*r};var fe=new Float32Array([-1/0,-1/0,0,-1/0,-1/0,0,-1/0,-1/0,0,-1/0,-1/0,0]);function he(t,e){for(var r=0;r=1;P--)C.push(E.path[P]);for(var O=1;O0){for(var R=C[0].clone(),F=C[0].clone(),B=1;B=A.x&&F.x<=M.x&&R.y>=A.y&&F.y<=M.y?[C]:F.xM.x||F.yM.y?[]:t.clipLine([C],A.x,A.y,M.x,M.y)}for(var N=0,j=z;N=this.screenRightBoundary||nthis.screenBottomBoundary},ve.prototype.isInsideGrid=function(t,e,r,n){return r>=0&&t=0&&e0?(this.prevPlacement&&this.prevPlacement.variableOffsets[f.crossTileID]&&this.prevPlacement.placements[f.crossTileID]&&this.prevPlacement.placements[f.crossTileID].text&&(v=this.prevPlacement.variableOffsets[f.crossTileID].anchor),this.variableOffsets[f.crossTileID]={textOffset:g,width:r,height:n,anchor:t,textBoxScale:i,prevAnchor:v},this.markUsedJustification(h,t,f,p),h.allowVerticalPlacement&&(this.markUsedOrientation(h,p,f),this.placedOrientations[f.crossTileID]=p),{shift:y,placedGlyphBoxes:m}):void 0},Ae.prototype.placeLayerBucketPart=function(e,r,n){var i=this,a=e.parameters,o=a.bucket,s=a.layout,l=a.posMatrix,u=a.textLabelPlaneMatrix,c=a.labelToScreenMatrix,f=a.textPixelRatio,h=a.holdingForFade,p=a.collisionBoxArray,d=a.partiallyEvaluatedTextSize,v=a.collisionGroup,g=s.get("text-optional"),y=s.get("icon-optional"),m=s.get("text-allow-overlap"),x=s.get("icon-allow-overlap"),b="map"===s.get("text-rotation-alignment"),_="map"===s.get("text-pitch-alignment"),w="none"!==s.get("icon-text-fit"),T="viewport-y"===s.get("symbol-z-order"),k=m&&(x||!o.hasIconData()||y),A=x&&(m||!o.hasTextData()||g);!o.collisionArrays&&p&&o.deserializeCollisionBoxes(p);var M=function(e,a){if(!r[e.crossTileID])if(h)i.placements[e.crossTileID]=new xe(!1,!1,!1);else{var p,T=!1,M=!1,S=!0,E=null,L={box:null,offscreen:null},C={box:null,offscreen:null},P=null,O=null,I=0,D=0,z=0;a.textFeatureIndex?I=a.textFeatureIndex:e.useRuntimeCollisionCircles&&(I=e.featureIndex),a.verticalTextFeatureIndex&&(D=a.verticalTextFeatureIndex);var R=a.textBox;if(R){var F=function(r){var n=t.WritingMode.horizontal;if(o.allowVerticalPlacement&&!r&&i.prevPlacement){var a=i.prevPlacement.placedOrientations[e.crossTileID];a&&(i.placedOrientations[e.crossTileID]=a,n=a,i.markUsedOrientation(o,n,e))}return n},B=function(r,n){if(o.allowVerticalPlacement&&e.numVerticalGlyphVertices>0&&a.verticalTextBox)for(var i=0,s=o.writingModes;i0&&(N=N.filter((function(t){return t!==j.anchor}))).unshift(j.anchor)}var U=function(t,r,n){for(var a=t.x2-t.x1,s=t.y2-t.y1,u=e.textBoxScale,c=w&&!x?r:null,h={box:[],offscreen:!1},p=m?2*N.length:N.length,d=0;d=N.length,k=i.attemptAnchorPlacement(g,t,a,s,u,b,_,f,l,v,y,e,o,n,c);if(k&&(h=k.placedGlyphBoxes)&&h.box&&h.box.length){T=!0,E=k.shift;break}}return h};B((function(){return U(R,a.iconBox,t.WritingMode.horizontal)}),(function(){var r=a.verticalTextBox,n=L&&L.box&&L.box.length;return o.allowVerticalPlacement&&!n&&e.numVerticalGlyphVertices>0&&r?U(r,a.verticalIconBox,t.WritingMode.vertical):{box:null,offscreen:null}})),L&&(T=L.box,S=L.offscreen);var V=F(L&&L.box);if(!T&&i.prevPlacement){var q=i.prevPlacement.variableOffsets[e.crossTileID];q&&(i.variableOffsets[e.crossTileID]=q,i.markUsedJustification(o,q.anchor,e,V))}}else{var H=function(t,r){var n=i.collisionIndex.placeCollisionBox(t,m,f,l,v.predicate);return n&&n.box&&n.box.length&&(i.markUsedOrientation(o,r,e),i.placedOrientations[e.crossTileID]=r),n};B((function(){return H(R,t.WritingMode.horizontal)}),(function(){var r=a.verticalTextBox;return o.allowVerticalPlacement&&e.numVerticalGlyphVertices>0&&r?H(r,t.WritingMode.vertical):{box:null,offscreen:null}})),F(L&&L.box&&L.box.length)}}if(T=(p=L)&&p.box&&p.box.length>0,S=p&&p.offscreen,e.useRuntimeCollisionCircles){var G=o.text.placedSymbolArray.get(e.centerJustifiedTextSymbolIndex),W=t.evaluateSizeForFeature(o.textSizeData,d,G),Y=s.get("text-padding"),X=e.collisionCircleDiameter;P=i.collisionIndex.placeCollisionCircles(m,G,o.lineVertexArray,o.glyphOffsetArray,W,l,u,c,n,_,v.predicate,X,Y),T=m||P.circles.length>0&&!P.collisionDetected,S=S&&P.offscreen}if(a.iconFeatureIndex&&(z=a.iconFeatureIndex),a.iconBox){var Z=function(t){var e=w&&E?ke(t,E.x,E.y,b,_,i.transform.angle):t;return i.collisionIndex.placeCollisionBox(e,x,f,l,v.predicate)};M=C&&C.box&&C.box.length&&a.verticalIconBox?(O=Z(a.verticalIconBox)).box.length>0:(O=Z(a.iconBox)).box.length>0,S=S&&O.offscreen}var K=g||0===e.numHorizontalGlyphVertices&&0===e.numVerticalGlyphVertices,J=y||0===e.numIconVertices;if(K||J?J?K||(M=M&&T):T=M&&T:M=T=M&&T,T&&p&&p.box&&(C&&C.box&&D?i.collisionIndex.insertCollisionBox(p.box,s.get("text-ignore-placement"),o.bucketInstanceId,D,v.ID):i.collisionIndex.insertCollisionBox(p.box,s.get("text-ignore-placement"),o.bucketInstanceId,I,v.ID)),M&&O&&i.collisionIndex.insertCollisionBox(O.box,s.get("icon-ignore-placement"),o.bucketInstanceId,z,v.ID),P&&(T&&i.collisionIndex.insertCollisionCircles(P.circles,s.get("text-ignore-placement"),o.bucketInstanceId,I,v.ID),n)){var $=o.bucketInstanceId,Q=i.collisionCircleArrays[$];void 0===Q&&(Q=i.collisionCircleArrays[$]=new be);for(var tt=0;tt=0;--E){var L=S[E];M(o.symbolInstances.get(L),o.collisionArrays[L])}else for(var C=e.symbolInstanceStart;C=0&&(e.text.placedSymbolArray.get(u).crossTileID=a>=0&&u!==a?0:n.crossTileID)}},Ae.prototype.markUsedOrientation=function(e,r,n){for(var i=r===t.WritingMode.horizontal||r===t.WritingMode.horizontalOnly?r:0,a=r===t.WritingMode.vertical?r:0,o=0,s=[n.leftJustifiedTextSymbolIndex,n.centerJustifiedTextSymbolIndex,n.rightJustifiedTextSymbolIndex];o0||l>0,x=a.numIconVertices>0,b=i.placedOrientations[a.crossTileID],_=b===t.WritingMode.vertical,w=b===t.WritingMode.horizontal||b===t.WritingMode.horizontalOnly;if(m){var T=De(y.text),k=_?ze:T;d(e.text,s,k);var A=w?ze:T;d(e.text,l,A);var M=y.text.isHidden();[a.rightJustifiedTextSymbolIndex,a.centerJustifiedTextSymbolIndex,a.leftJustifiedTextSymbolIndex].forEach((function(t){t>=0&&(e.text.placedSymbolArray.get(t).hidden=M||_?1:0)})),a.verticalPlacedTextSymbolIndex>=0&&(e.text.placedSymbolArray.get(a.verticalPlacedTextSymbolIndex).hidden=M||w?1:0);var S=i.variableOffsets[a.crossTileID];S&&i.markUsedJustification(e,S.anchor,a,b);var E=i.placedOrientations[a.crossTileID];E&&(i.markUsedJustification(e,"left",a,E),i.markUsedOrientation(e,E,a))}if(x){var L=De(y.icon),C=!(h&&a.verticalPlacedIconSymbolIndex&&_);if(a.placedIconSymbolIndex>=0){var P=C?L:ze;d(e.icon,a.numIconVertices,P),e.icon.placedSymbolArray.get(a.placedIconSymbolIndex).hidden=y.icon.isHidden()}if(a.verticalPlacedIconSymbolIndex>=0){var O=C?ze:L;d(e.icon,a.numVerticalIconVertices,O),e.icon.placedSymbolArray.get(a.verticalPlacedIconSymbolIndex).hidden=y.icon.isHidden()}}if(e.hasIconCollisionBoxData()||e.hasTextCollisionBoxData()){var I=e.collisionArrays[n];if(I){var D=new t.Point(0,0);if(I.textBox||I.verticalTextBox){var z=!0;if(u){var R=i.variableOffsets[v];R?(D=Te(R.anchor,R.width,R.height,R.textOffset,R.textBoxScale),c&&D._rotate(f?i.transform.angle:-i.transform.angle)):z=!1}I.textBox&&Me(e.textCollisionBox.collisionVertexArray,y.text.placed,!z||_,D.x,D.y),I.verticalTextBox&&Me(e.textCollisionBox.collisionVertexArray,y.text.placed,!z||w,D.x,D.y)}var F=Boolean(!w&&I.verticalIconBox);I.iconBox&&Me(e.iconCollisionBox.collisionVertexArray,y.icon.placed,F,h?D.x:0,h?D.y:0),I.verticalIconBox&&Me(e.iconCollisionBox.collisionVertexArray,y.icon.placed,!F,h?D.x:0,h?D.y:0)}}},g=0;gt},Ae.prototype.setStale=function(){this.stale=!0};var Se=Math.pow(2,25),Ee=Math.pow(2,24),Le=Math.pow(2,17),Ce=Math.pow(2,16),Pe=Math.pow(2,9),Oe=Math.pow(2,8),Ie=Math.pow(2,1);function De(t){if(0===t.opacity&&!t.placed)return 0;if(1===t.opacity&&t.placed)return 4294967295;var e=t.placed?1:0,r=Math.floor(127*t.opacity);return r*Se+e*Ee+r*Le+e*Ce+r*Pe+e*Oe+r*Ie+e}var ze=0,Re=function(t){this._sortAcrossTiles="viewport-y"!==t.layout.get("symbol-z-order")&&void 0!==t.layout.get("symbol-sort-key").constantOr(1),this._currentTileIndex=0,this._currentPartIndex=0,this._seenCrossTileIDs={},this._bucketParts=[]};Re.prototype.continuePlacement=function(t,e,r,n,i){for(var a=this._bucketParts;this._currentTileIndex2};this._currentPlacementIndex>=0;){var s=r[e[this._currentPlacementIndex]],l=this.placement.collisionIndex.transform.zoom;if("symbol"===s.type&&(!s.minzoom||s.minzoom<=l)&&(!s.maxzoom||s.maxzoom>l)){if(this._inProgressLayer||(this._inProgressLayer=new Re(s)),this._inProgressLayer.continuePlacement(n[s.source],this.placement,this._showCollisionBoxes,s,o))return;delete this._inProgressLayer}this._currentPlacementIndex--}this._done=!0},Fe.prototype.commit=function(t){return this.placement.commit(t),this.placement};var Be=512/t.EXTENT/2,Ne=function(t,e,r){this.tileID=t,this.indexedSymbolInstances={},this.bucketInstanceId=r;for(var n=0;nt.overscaledZ)for(var s in o){var l=o[s];l.tileID.isChildOf(t)&&l.findMatches(e.symbolInstances,t,i)}else{var u=o[t.scaledTo(Number(a)).key];u&&u.findMatches(e.symbolInstances,t,i)}}for(var c=0;c1?"@2x":"",l=t.getJSON(r.transformRequest(r.normalizeSpriteURL(e,s,".json"),t.ResourceType.SpriteJSON),(function(t,e){l=null,o||(o=t,i=e,c())})),u=t.getImage(r.transformRequest(r.normalizeSpriteURL(e,s,".png"),t.ResourceType.SpriteImage),(function(t,e){u=null,o||(o=t,a=e,c())}));function c(){if(o)n(o);else if(i&&a){var e=t.browser.getImageData(a),r={};for(var s in i){var l=i[s],u=l.width,c=l.height,f=l.x,h=l.y,p=l.sdf,d=l.pixelRatio,v=l.stretchX,g=l.stretchY,y=l.content,m=new t.RGBAImage({width:u,height:c});t.RGBAImage.copy(e,m,{x:f,y:h},{x:0,y:0},{width:u,height:c}),r[s]={data:m,pixelRatio:d,sdf:p,stretchX:v,stretchY:g,content:y}}n(null,r)}}return{cancel:function(){l&&(l.cancel(),l=null),u&&(u.cancel(),u=null)}}}(e,this.map._requestManager,(function(e,n){if(r._spriteRequest=null,e)r.fire(new t.ErrorEvent(e));else if(n)for(var i in n)r.imageManager.addImage(i,n[i]);r.imageManager.setLoaded(!0),r._availableImages=r.imageManager.listImages(),r.dispatcher.broadcast("setImages",r._availableImages),r.fire(new t.Event("data",{dataType:"style"}))}))},r.prototype._validateLayer=function(e){var r=this.sourceCaches[e.source];if(r){var n=e.sourceLayer;if(n){var i=r.getSource();("geojson"===i.type||i.vectorLayerIds&&-1===i.vectorLayerIds.indexOf(n))&&this.fire(new t.ErrorEvent(new Error('Source layer "'+n+'" does not exist on source "'+i.id+'" as specified by style layer "'+e.id+'"')))}}},r.prototype.loaded=function(){if(!this._loaded)return!1;if(Object.keys(this._updatedSources).length)return!1;for(var t in this.sourceCaches)if(!this.sourceCaches[t].loaded())return!1;return!!this.imageManager.isLoaded()},r.prototype._serializeLayers=function(t){for(var e=[],r=0,n=t;r0)throw new Error("Unimplemented: "+i.map((function(t){return t.command})).join(", ")+".");return n.forEach((function(t){"setTransition"!==t.command&&r[t.command].apply(r,t.args)})),this.stylesheet=e,!0},r.prototype.addImage=function(e,r){if(this.getImage(e))return this.fire(new t.ErrorEvent(new Error("An image with this name already exists.")));this.imageManager.addImage(e,r),this._afterImageUpdated(e)},r.prototype.updateImage=function(t,e){this.imageManager.updateImage(t,e)},r.prototype.getImage=function(t){return this.imageManager.getImage(t)},r.prototype.removeImage=function(e){if(!this.getImage(e))return this.fire(new t.ErrorEvent(new Error("No image with this name exists.")));this.imageManager.removeImage(e),this._afterImageUpdated(e)},r.prototype._afterImageUpdated=function(e){this._availableImages=this.imageManager.listImages(),this._changedImages[e]=!0,this._changed=!0,this.dispatcher.broadcast("setImages",this._availableImages),this.fire(new t.Event("data",{dataType:"style"}))},r.prototype.listImages=function(){return this._checkLoaded(),this.imageManager.listImages()},r.prototype.addSource=function(e,r,n){var i=this;if(void 0===n&&(n={}),this._checkLoaded(),void 0!==this.sourceCaches[e])throw new Error("There is already a source with this ID");if(!r.type)throw new Error("The type property must be defined, but only the following properties were given: "+Object.keys(r).join(", ")+".");if(!(["vector","raster","geojson","video","image"].indexOf(r.type)>=0&&this._validate(t.validateStyle.source,"sources."+e,r,null,n))){this.map&&this.map._collectResourceTiming&&(r.collectResourceTiming=!0);var a=this.sourceCaches[e]=new Ot(e,r,this.dispatcher);a.style=this,a.setEventedParent(this,(function(){return{isSourceLoaded:i.loaded(),source:a.serialize(),sourceId:e}})),a.onAdd(this.map),this._changed=!0}},r.prototype.removeSource=function(e){if(this._checkLoaded(),void 0===this.sourceCaches[e])throw new Error("There is no source with this ID");for(var r in this._layers)if(this._layers[r].source===e)return this.fire(new t.ErrorEvent(new Error('Source "'+e+'" cannot be removed while layer "'+r+'" is using it.')));var n=this.sourceCaches[e];delete this.sourceCaches[e],delete this._updatedSources[e],n.fire(new t.Event("data",{sourceDataType:"metadata",dataType:"source",sourceId:e})),n.setEventedParent(null),n.clearTiles(),n.onRemove&&n.onRemove(this.map),this._changed=!0},r.prototype.setGeoJSONSourceData=function(t,e){this._checkLoaded(),this.sourceCaches[t].getSource().setData(e),this._changed=!0},r.prototype.getSource=function(t){return this.sourceCaches[t]&&this.sourceCaches[t].getSource()},r.prototype.addLayer=function(e,r,n){void 0===n&&(n={}),this._checkLoaded();var i=e.id;if(this.getLayer(i))this.fire(new t.ErrorEvent(new Error('Layer with id "'+i+'" already exists on this map')));else{var a;if("custom"===e.type){if(qe(this,t.validateCustomStyleLayer(e)))return;a=t.createStyleLayer(e)}else{if("object"==typeof e.source&&(this.addSource(i,e.source),e=t.clone$1(e),e=t.extend(e,{source:i})),this._validate(t.validateStyle.layer,"layers."+i,e,{arrayIndex:-1},n))return;a=t.createStyleLayer(e),this._validateLayer(a),a.setEventedParent(this,{layer:{id:i}}),this._serializedLayers[a.id]=a.serialize()}var o=r?this._order.indexOf(r):this._order.length;if(r&&-1===o)this.fire(new t.ErrorEvent(new Error('Layer with id "'+r+'" does not exist on this map.')));else{if(this._order.splice(o,0,i),this._layerOrderChanged=!0,this._layers[i]=a,this._removedLayers[i]&&a.source&&"custom"!==a.type){var s=this._removedLayers[i];delete this._removedLayers[i],s.type!==a.type?this._updatedSources[a.source]="clear":(this._updatedSources[a.source]="reload",this.sourceCaches[a.source].pause())}this._updateLayer(a),a.onAdd&&a.onAdd(this.map)}}},r.prototype.moveLayer=function(e,r){if(this._checkLoaded(),this._changed=!0,this._layers[e]){if(e!==r){var n=this._order.indexOf(e);this._order.splice(n,1);var i=r?this._order.indexOf(r):this._order.length;r&&-1===i?this.fire(new t.ErrorEvent(new Error('Layer with id "'+r+'" does not exist on this map.'))):(this._order.splice(i,0,e),this._layerOrderChanged=!0)}}else this.fire(new t.ErrorEvent(new Error("The layer '"+e+"' does not exist in the map's style and cannot be moved.")))},r.prototype.removeLayer=function(e){this._checkLoaded();var r=this._layers[e];if(r){r.setEventedParent(null);var n=this._order.indexOf(e);this._order.splice(n,1),this._layerOrderChanged=!0,this._changed=!0,this._removedLayers[e]=r,delete this._layers[e],delete this._serializedLayers[e],delete this._updatedLayers[e],delete this._updatedPaintProps[e],r.onRemove&&r.onRemove(this.map)}else this.fire(new t.ErrorEvent(new Error("The layer '"+e+"' does not exist in the map's style and cannot be removed.")))},r.prototype.getLayer=function(t){return this._layers[t]},r.prototype.hasLayer=function(t){return t in this._layers},r.prototype.setLayerZoomRange=function(e,r,n){this._checkLoaded();var i=this.getLayer(e);i?i.minzoom===r&&i.maxzoom===n||(null!=r&&(i.minzoom=r),null!=n&&(i.maxzoom=n),this._updateLayer(i)):this.fire(new t.ErrorEvent(new Error("The layer '"+e+"' does not exist in the map's style and cannot have zoom extent.")))},r.prototype.setFilter=function(e,r,n){void 0===n&&(n={}),this._checkLoaded();var i=this.getLayer(e);if(i){if(!t.deepEqual(i.filter,r))return null==r?(i.filter=void 0,void this._updateLayer(i)):void(this._validate(t.validateStyle.filter,"layers."+i.id+".filter",r,null,n)||(i.filter=t.clone$1(r),this._updateLayer(i)))}else this.fire(new t.ErrorEvent(new Error("The layer '"+e+"' does not exist in the map's style and cannot be filtered.")))},r.prototype.getFilter=function(e){return t.clone$1(this.getLayer(e).filter)},r.prototype.setLayoutProperty=function(e,r,n,i){void 0===i&&(i={}),this._checkLoaded();var a=this.getLayer(e);a?t.deepEqual(a.getLayoutProperty(r),n)||(a.setLayoutProperty(r,n,i),this._updateLayer(a)):this.fire(new t.ErrorEvent(new Error("The layer '"+e+"' does not exist in the map's style and cannot be styled.")))},r.prototype.getLayoutProperty=function(e,r){var n=this.getLayer(e);if(n)return n.getLayoutProperty(r);this.fire(new t.ErrorEvent(new Error("The layer '"+e+"' does not exist in the map's style.")))},r.prototype.setPaintProperty=function(e,r,n,i){void 0===i&&(i={}),this._checkLoaded();var a=this.getLayer(e);a?t.deepEqual(a.getPaintProperty(r),n)||(a.setPaintProperty(r,n,i)&&this._updateLayer(a),this._changed=!0,this._updatedPaintProps[e]=!0):this.fire(new t.ErrorEvent(new Error("The layer '"+e+"' does not exist in the map's style and cannot be styled.")))},r.prototype.getPaintProperty=function(t,e){return this.getLayer(t).getPaintProperty(e)},r.prototype.setFeatureState=function(e,r){this._checkLoaded();var n=e.source,i=e.sourceLayer,a=this.sourceCaches[n];if(void 0!==a){var o=a.getSource().type;"geojson"===o&&i?this.fire(new t.ErrorEvent(new Error("GeoJSON sources cannot have a sourceLayer parameter."))):"vector"!==o||i?(void 0===e.id&&this.fire(new t.ErrorEvent(new Error("The feature id parameter must be provided."))),a.setFeatureState(i,e.id,r)):this.fire(new t.ErrorEvent(new Error("The sourceLayer parameter must be provided for vector source types.")))}else this.fire(new t.ErrorEvent(new Error("The source '"+n+"' does not exist in the map's style.")))},r.prototype.removeFeatureState=function(e,r){this._checkLoaded();var n=e.source,i=this.sourceCaches[n];if(void 0!==i){var a=i.getSource().type,o="vector"===a?e.sourceLayer:void 0;"vector"!==a||o?r&&"string"!=typeof e.id&&"number"!=typeof e.id?this.fire(new t.ErrorEvent(new Error("A feature id is required to remove its specific state property."))):i.removeFeatureState(o,e.id,r):this.fire(new t.ErrorEvent(new Error("The sourceLayer parameter must be provided for vector source types.")))}else this.fire(new t.ErrorEvent(new Error("The source '"+n+"' does not exist in the map's style.")))},r.prototype.getFeatureState=function(e){this._checkLoaded();var r=e.source,n=e.sourceLayer,i=this.sourceCaches[r];if(void 0!==i){if("vector"!==i.getSource().type||n)return void 0===e.id&&this.fire(new t.ErrorEvent(new Error("The feature id parameter must be provided."))),i.getFeatureState(n,e.id);this.fire(new t.ErrorEvent(new Error("The sourceLayer parameter must be provided for vector source types.")))}else this.fire(new t.ErrorEvent(new Error("The source '"+r+"' does not exist in the map's style.")))},r.prototype.getTransition=function(){return t.extend({duration:300,delay:0},this.stylesheet&&this.stylesheet.transition)},r.prototype.serialize=function(){return t.filterObject({version:this.stylesheet.version,name:this.stylesheet.name,metadata:this.stylesheet.metadata,light:this.stylesheet.light,center:this.stylesheet.center,zoom:this.stylesheet.zoom,bearing:this.stylesheet.bearing,pitch:this.stylesheet.pitch,sprite:this.stylesheet.sprite,glyphs:this.stylesheet.glyphs,transition:this.stylesheet.transition,sources:t.mapObject(this.sourceCaches,(function(t){return t.serialize()})),layers:this._serializeLayers(this._order)},(function(t){return void 0!==t}))},r.prototype._updateLayer=function(t){this._updatedLayers[t.id]=!0,t.source&&!this._updatedSources[t.source]&&"raster"!==this.sourceCaches[t.source].getSource().type&&(this._updatedSources[t.source]="reload",this.sourceCaches[t.source].pause()),this._changed=!0},r.prototype._flattenAndSortRenderedFeatures=function(t){for(var e=this,r=function(t){return"fill-extrusion"===e._layers[t].type},n={},i=[],a=this._order.length-1;a>=0;a--){var o=this._order[a];if(r(o)){n[o]=a;for(var s=0,l=t;s=0;d--){var v=this._order[d];if(r(v))for(var g=i.length-1;g>=0;g--){var y=i[g].feature;if(n[y.layer.id] 0.5) {gl_FragColor=vec4(0.0,0.0,1.0,0.5)*alpha;}if (v_notUsed > 0.5) {gl_FragColor*=.1;}}","attribute vec2 a_pos;attribute vec2 a_anchor_pos;attribute vec2 a_extrude;attribute vec2 a_placed;attribute vec2 a_shift;uniform mat4 u_matrix;uniform vec2 u_extrude_scale;uniform float u_camera_to_center_distance;varying float v_placed;varying float v_notUsed;void main() {vec4 projectedPoint=u_matrix*vec4(a_anchor_pos,0,1);highp float camera_to_anchor_distance=projectedPoint.w;highp float collision_perspective_ratio=clamp(0.5+0.5*(u_camera_to_center_distance/camera_to_anchor_distance),0.0,4.0);gl_Position=u_matrix*vec4(a_pos,0.0,1.0);gl_Position.xy+=(a_extrude+a_shift)*u_extrude_scale*gl_Position.w*collision_perspective_ratio;v_placed=a_placed.x;v_notUsed=a_placed.y;}"),nr=_r("varying float v_radius;varying vec2 v_extrude;varying float v_perspective_ratio;varying float v_collision;void main() {float alpha=0.5*min(v_perspective_ratio,1.0);float stroke_radius=0.9*max(v_perspective_ratio,1.0);float distance_to_center=length(v_extrude);float distance_to_edge=abs(distance_to_center-v_radius);float opacity_t=smoothstep(-stroke_radius,0.0,-distance_to_edge);vec4 color=mix(vec4(0.0,0.0,1.0,0.5),vec4(1.0,0.0,0.0,1.0),v_collision);gl_FragColor=color*alpha*opacity_t;}","attribute vec2 a_pos;attribute float a_radius;attribute vec2 a_flags;uniform mat4 u_matrix;uniform mat4 u_inv_matrix;uniform vec2 u_viewport_size;uniform float u_camera_to_center_distance;varying float v_radius;varying vec2 v_extrude;varying float v_perspective_ratio;varying float v_collision;vec3 toTilePosition(vec2 screenPos) {vec4 rayStart=u_inv_matrix*vec4(screenPos,-1.0,1.0);vec4 rayEnd =u_inv_matrix*vec4(screenPos, 1.0,1.0);rayStart.xyz/=rayStart.w;rayEnd.xyz /=rayEnd.w;highp float t=(0.0-rayStart.z)/(rayEnd.z-rayStart.z);return mix(rayStart.xyz,rayEnd.xyz,t);}void main() {vec2 quadCenterPos=a_pos;float radius=a_radius;float collision=a_flags.x;float vertexIdx=a_flags.y;vec2 quadVertexOffset=vec2(mix(-1.0,1.0,float(vertexIdx >=2.0)),mix(-1.0,1.0,float(vertexIdx >=1.0 && vertexIdx <=2.0)));vec2 quadVertexExtent=quadVertexOffset*radius;vec3 tilePos=toTilePosition(quadCenterPos);vec4 clipPos=u_matrix*vec4(tilePos,1.0);highp float camera_to_anchor_distance=clipPos.w;highp float collision_perspective_ratio=clamp(0.5+0.5*(u_camera_to_center_distance/camera_to_anchor_distance),0.0,4.0);float padding_factor=1.2;v_radius=radius;v_extrude=quadVertexExtent*padding_factor;v_perspective_ratio=collision_perspective_ratio;v_collision=collision;gl_Position=vec4(clipPos.xyz/clipPos.w,1.0)+vec4(quadVertexExtent*padding_factor/u_viewport_size*2.0,0.0,0.0);}"),ir=_r("uniform highp vec4 u_color;uniform sampler2D u_overlay;varying vec2 v_uv;void main() {vec4 overlay_color=texture2D(u_overlay,v_uv);gl_FragColor=mix(u_color,overlay_color,overlay_color.a);}","attribute vec2 a_pos;varying vec2 v_uv;uniform mat4 u_matrix;uniform float u_overlay_scale;void main() {v_uv=a_pos/8192.0;gl_Position=u_matrix*vec4(a_pos*u_overlay_scale,0,1);}"),ar=_r("#pragma mapbox: define highp vec4 color\n#pragma mapbox: define lowp float opacity\nvoid main() {\n#pragma mapbox: initialize highp vec4 color\n#pragma mapbox: initialize lowp float opacity\ngl_FragColor=color*opacity;\n#ifdef OVERDRAW_INSPECTOR\ngl_FragColor=vec4(1.0);\n#endif\n}","attribute vec2 a_pos;uniform mat4 u_matrix;\n#pragma mapbox: define highp vec4 color\n#pragma mapbox: define lowp float opacity\nvoid main() {\n#pragma mapbox: initialize highp vec4 color\n#pragma mapbox: initialize lowp float opacity\ngl_Position=u_matrix*vec4(a_pos,0,1);}"),or=_r("varying vec2 v_pos;\n#pragma mapbox: define highp vec4 outline_color\n#pragma mapbox: define lowp float opacity\nvoid main() {\n#pragma mapbox: initialize highp vec4 outline_color\n#pragma mapbox: initialize lowp float opacity\nfloat dist=length(v_pos-gl_FragCoord.xy);float alpha=1.0-smoothstep(0.0,1.0,dist);gl_FragColor=outline_color*(alpha*opacity);\n#ifdef OVERDRAW_INSPECTOR\ngl_FragColor=vec4(1.0);\n#endif\n}","attribute vec2 a_pos;uniform mat4 u_matrix;uniform vec2 u_world;varying vec2 v_pos;\n#pragma mapbox: define highp vec4 outline_color\n#pragma mapbox: define lowp float opacity\nvoid main() {\n#pragma mapbox: initialize highp vec4 outline_color\n#pragma mapbox: initialize lowp float opacity\ngl_Position=u_matrix*vec4(a_pos,0,1);v_pos=(gl_Position.xy/gl_Position.w+1.0)/2.0*u_world;}"),sr=_r("uniform vec2 u_texsize;uniform sampler2D u_image;uniform float u_fade;varying vec2 v_pos_a;varying vec2 v_pos_b;varying vec2 v_pos;\n#pragma mapbox: define lowp float opacity\n#pragma mapbox: define lowp vec4 pattern_from\n#pragma mapbox: define lowp vec4 pattern_to\nvoid main() {\n#pragma mapbox: initialize lowp float opacity\n#pragma mapbox: initialize mediump vec4 pattern_from\n#pragma mapbox: initialize mediump vec4 pattern_to\nvec2 pattern_tl_a=pattern_from.xy;vec2 pattern_br_a=pattern_from.zw;vec2 pattern_tl_b=pattern_to.xy;vec2 pattern_br_b=pattern_to.zw;vec2 imagecoord=mod(v_pos_a,1.0);vec2 pos=mix(pattern_tl_a/u_texsize,pattern_br_a/u_texsize,imagecoord);vec4 color1=texture2D(u_image,pos);vec2 imagecoord_b=mod(v_pos_b,1.0);vec2 pos2=mix(pattern_tl_b/u_texsize,pattern_br_b/u_texsize,imagecoord_b);vec4 color2=texture2D(u_image,pos2);float dist=length(v_pos-gl_FragCoord.xy);float alpha=1.0-smoothstep(0.0,1.0,dist);gl_FragColor=mix(color1,color2,u_fade)*alpha*opacity;\n#ifdef OVERDRAW_INSPECTOR\ngl_FragColor=vec4(1.0);\n#endif\n}","uniform mat4 u_matrix;uniform vec2 u_world;uniform vec2 u_pixel_coord_upper;uniform vec2 u_pixel_coord_lower;uniform vec3 u_scale;attribute vec2 a_pos;varying vec2 v_pos_a;varying vec2 v_pos_b;varying vec2 v_pos;\n#pragma mapbox: define lowp float opacity\n#pragma mapbox: define lowp vec4 pattern_from\n#pragma mapbox: define lowp vec4 pattern_to\n#pragma mapbox: define lowp float pixel_ratio_from\n#pragma mapbox: define lowp float pixel_ratio_to\nvoid main() {\n#pragma mapbox: initialize lowp float opacity\n#pragma mapbox: initialize mediump vec4 pattern_from\n#pragma mapbox: initialize mediump vec4 pattern_to\n#pragma mapbox: initialize lowp float pixel_ratio_from\n#pragma mapbox: initialize lowp float pixel_ratio_to\nvec2 pattern_tl_a=pattern_from.xy;vec2 pattern_br_a=pattern_from.zw;vec2 pattern_tl_b=pattern_to.xy;vec2 pattern_br_b=pattern_to.zw;float tileRatio=u_scale.x;float fromScale=u_scale.y;float toScale=u_scale.z;gl_Position=u_matrix*vec4(a_pos,0,1);vec2 display_size_a=(pattern_br_a-pattern_tl_a)/pixel_ratio_from;vec2 display_size_b=(pattern_br_b-pattern_tl_b)/pixel_ratio_to;v_pos_a=get_pattern_pos(u_pixel_coord_upper,u_pixel_coord_lower,fromScale*display_size_a,tileRatio,a_pos);v_pos_b=get_pattern_pos(u_pixel_coord_upper,u_pixel_coord_lower,toScale*display_size_b,tileRatio,a_pos);v_pos=(gl_Position.xy/gl_Position.w+1.0)/2.0*u_world;}"),lr=_r("uniform vec2 u_texsize;uniform float u_fade;uniform sampler2D u_image;varying vec2 v_pos_a;varying vec2 v_pos_b;\n#pragma mapbox: define lowp float opacity\n#pragma mapbox: define lowp vec4 pattern_from\n#pragma mapbox: define lowp vec4 pattern_to\nvoid main() {\n#pragma mapbox: initialize lowp float opacity\n#pragma mapbox: initialize mediump vec4 pattern_from\n#pragma mapbox: initialize mediump vec4 pattern_to\nvec2 pattern_tl_a=pattern_from.xy;vec2 pattern_br_a=pattern_from.zw;vec2 pattern_tl_b=pattern_to.xy;vec2 pattern_br_b=pattern_to.zw;vec2 imagecoord=mod(v_pos_a,1.0);vec2 pos=mix(pattern_tl_a/u_texsize,pattern_br_a/u_texsize,imagecoord);vec4 color1=texture2D(u_image,pos);vec2 imagecoord_b=mod(v_pos_b,1.0);vec2 pos2=mix(pattern_tl_b/u_texsize,pattern_br_b/u_texsize,imagecoord_b);vec4 color2=texture2D(u_image,pos2);gl_FragColor=mix(color1,color2,u_fade)*opacity;\n#ifdef OVERDRAW_INSPECTOR\ngl_FragColor=vec4(1.0);\n#endif\n}","uniform mat4 u_matrix;uniform vec2 u_pixel_coord_upper;uniform vec2 u_pixel_coord_lower;uniform vec3 u_scale;attribute vec2 a_pos;varying vec2 v_pos_a;varying vec2 v_pos_b;\n#pragma mapbox: define lowp float opacity\n#pragma mapbox: define lowp vec4 pattern_from\n#pragma mapbox: define lowp vec4 pattern_to\n#pragma mapbox: define lowp float pixel_ratio_from\n#pragma mapbox: define lowp float pixel_ratio_to\nvoid main() {\n#pragma mapbox: initialize lowp float opacity\n#pragma mapbox: initialize mediump vec4 pattern_from\n#pragma mapbox: initialize mediump vec4 pattern_to\n#pragma mapbox: initialize lowp float pixel_ratio_from\n#pragma mapbox: initialize lowp float pixel_ratio_to\nvec2 pattern_tl_a=pattern_from.xy;vec2 pattern_br_a=pattern_from.zw;vec2 pattern_tl_b=pattern_to.xy;vec2 pattern_br_b=pattern_to.zw;float tileZoomRatio=u_scale.x;float fromScale=u_scale.y;float toScale=u_scale.z;vec2 display_size_a=(pattern_br_a-pattern_tl_a)/pixel_ratio_from;vec2 display_size_b=(pattern_br_b-pattern_tl_b)/pixel_ratio_to;gl_Position=u_matrix*vec4(a_pos,0,1);v_pos_a=get_pattern_pos(u_pixel_coord_upper,u_pixel_coord_lower,fromScale*display_size_a,tileZoomRatio,a_pos);v_pos_b=get_pattern_pos(u_pixel_coord_upper,u_pixel_coord_lower,toScale*display_size_b,tileZoomRatio,a_pos);}"),ur=_r("varying vec4 v_color;void main() {gl_FragColor=v_color;\n#ifdef OVERDRAW_INSPECTOR\ngl_FragColor=vec4(1.0);\n#endif\n}","uniform mat4 u_matrix;uniform vec3 u_lightcolor;uniform lowp vec3 u_lightpos;uniform lowp float u_lightintensity;uniform float u_vertical_gradient;uniform lowp float u_opacity;attribute vec2 a_pos;attribute vec4 a_normal_ed;varying vec4 v_color;\n#pragma mapbox: define highp float base\n#pragma mapbox: define highp float height\n#pragma mapbox: define highp vec4 color\nvoid main() {\n#pragma mapbox: initialize highp float base\n#pragma mapbox: initialize highp float height\n#pragma mapbox: initialize highp vec4 color\nvec3 normal=a_normal_ed.xyz;base=max(0.0,base);height=max(0.0,height);float t=mod(normal.x,2.0);gl_Position=u_matrix*vec4(a_pos,t > 0.0 ? height : base,1);float colorvalue=color.r*0.2126+color.g*0.7152+color.b*0.0722;v_color=vec4(0.0,0.0,0.0,1.0);vec4 ambientlight=vec4(0.03,0.03,0.03,1.0);color+=ambientlight;float directional=clamp(dot(normal/16384.0,u_lightpos),0.0,1.0);directional=mix((1.0-u_lightintensity),max((1.0-colorvalue+u_lightintensity),1.0),directional);if (normal.y !=0.0) {directional*=((1.0-u_vertical_gradient)+(u_vertical_gradient*clamp((t+base)*pow(height/150.0,0.5),mix(0.7,0.98,1.0-u_lightintensity),1.0)));}v_color.r+=clamp(color.r*directional*u_lightcolor.r,mix(0.0,0.3,1.0-u_lightcolor.r),1.0);v_color.g+=clamp(color.g*directional*u_lightcolor.g,mix(0.0,0.3,1.0-u_lightcolor.g),1.0);v_color.b+=clamp(color.b*directional*u_lightcolor.b,mix(0.0,0.3,1.0-u_lightcolor.b),1.0);v_color*=u_opacity;}"),cr=_r("uniform vec2 u_texsize;uniform float u_fade;uniform sampler2D u_image;varying vec2 v_pos_a;varying vec2 v_pos_b;varying vec4 v_lighting;\n#pragma mapbox: define lowp float base\n#pragma mapbox: define lowp float height\n#pragma mapbox: define lowp vec4 pattern_from\n#pragma mapbox: define lowp vec4 pattern_to\n#pragma mapbox: define lowp float pixel_ratio_from\n#pragma mapbox: define lowp float pixel_ratio_to\nvoid main() {\n#pragma mapbox: initialize lowp float base\n#pragma mapbox: initialize lowp float height\n#pragma mapbox: initialize mediump vec4 pattern_from\n#pragma mapbox: initialize mediump vec4 pattern_to\n#pragma mapbox: initialize lowp float pixel_ratio_from\n#pragma mapbox: initialize lowp float pixel_ratio_to\nvec2 pattern_tl_a=pattern_from.xy;vec2 pattern_br_a=pattern_from.zw;vec2 pattern_tl_b=pattern_to.xy;vec2 pattern_br_b=pattern_to.zw;vec2 imagecoord=mod(v_pos_a,1.0);vec2 pos=mix(pattern_tl_a/u_texsize,pattern_br_a/u_texsize,imagecoord);vec4 color1=texture2D(u_image,pos);vec2 imagecoord_b=mod(v_pos_b,1.0);vec2 pos2=mix(pattern_tl_b/u_texsize,pattern_br_b/u_texsize,imagecoord_b);vec4 color2=texture2D(u_image,pos2);vec4 mixedColor=mix(color1,color2,u_fade);gl_FragColor=mixedColor*v_lighting;\n#ifdef OVERDRAW_INSPECTOR\ngl_FragColor=vec4(1.0);\n#endif\n}","uniform mat4 u_matrix;uniform vec2 u_pixel_coord_upper;uniform vec2 u_pixel_coord_lower;uniform float u_height_factor;uniform vec3 u_scale;uniform float u_vertical_gradient;uniform lowp float u_opacity;uniform vec3 u_lightcolor;uniform lowp vec3 u_lightpos;uniform lowp float u_lightintensity;attribute vec2 a_pos;attribute vec4 a_normal_ed;varying vec2 v_pos_a;varying vec2 v_pos_b;varying vec4 v_lighting;\n#pragma mapbox: define lowp float base\n#pragma mapbox: define lowp float height\n#pragma mapbox: define lowp vec4 pattern_from\n#pragma mapbox: define lowp vec4 pattern_to\n#pragma mapbox: define lowp float pixel_ratio_from\n#pragma mapbox: define lowp float pixel_ratio_to\nvoid main() {\n#pragma mapbox: initialize lowp float base\n#pragma mapbox: initialize lowp float height\n#pragma mapbox: initialize mediump vec4 pattern_from\n#pragma mapbox: initialize mediump vec4 pattern_to\n#pragma mapbox: initialize lowp float pixel_ratio_from\n#pragma mapbox: initialize lowp float pixel_ratio_to\nvec2 pattern_tl_a=pattern_from.xy;vec2 pattern_br_a=pattern_from.zw;vec2 pattern_tl_b=pattern_to.xy;vec2 pattern_br_b=pattern_to.zw;float tileRatio=u_scale.x;float fromScale=u_scale.y;float toScale=u_scale.z;vec3 normal=a_normal_ed.xyz;float edgedistance=a_normal_ed.w;vec2 display_size_a=(pattern_br_a-pattern_tl_a)/pixel_ratio_from;vec2 display_size_b=(pattern_br_b-pattern_tl_b)/pixel_ratio_to;base=max(0.0,base);height=max(0.0,height);float t=mod(normal.x,2.0);float z=t > 0.0 ? height : base;gl_Position=u_matrix*vec4(a_pos,z,1);vec2 pos=normal.x==1.0 && normal.y==0.0 && normal.z==16384.0\n? a_pos\n: vec2(edgedistance,z*u_height_factor);v_pos_a=get_pattern_pos(u_pixel_coord_upper,u_pixel_coord_lower,fromScale*display_size_a,tileRatio,pos);v_pos_b=get_pattern_pos(u_pixel_coord_upper,u_pixel_coord_lower,toScale*display_size_b,tileRatio,pos);v_lighting=vec4(0.0,0.0,0.0,1.0);float directional=clamp(dot(normal/16383.0,u_lightpos),0.0,1.0);directional=mix((1.0-u_lightintensity),max((0.5+u_lightintensity),1.0),directional);if (normal.y !=0.0) {directional*=((1.0-u_vertical_gradient)+(u_vertical_gradient*clamp((t+base)*pow(height/150.0,0.5),mix(0.7,0.98,1.0-u_lightintensity),1.0)));}v_lighting.rgb+=clamp(directional*u_lightcolor,mix(vec3(0.0),vec3(0.3),1.0-u_lightcolor),vec3(1.0));v_lighting*=u_opacity;}"),fr=_r("#ifdef GL_ES\nprecision highp float;\n#endif\nuniform sampler2D u_image;varying vec2 v_pos;uniform vec2 u_dimension;uniform float u_zoom;uniform vec4 u_unpack;float getElevation(vec2 coord,float bias) {vec4 data=texture2D(u_image,coord)*255.0;data.a=-1.0;return dot(data,u_unpack)/4.0;}void main() {vec2 epsilon=1.0/u_dimension;float a=getElevation(v_pos+vec2(-epsilon.x,-epsilon.y),0.0);float b=getElevation(v_pos+vec2(0,-epsilon.y),0.0);float c=getElevation(v_pos+vec2(epsilon.x,-epsilon.y),0.0);float d=getElevation(v_pos+vec2(-epsilon.x,0),0.0);float e=getElevation(v_pos,0.0);float f=getElevation(v_pos+vec2(epsilon.x,0),0.0);float g=getElevation(v_pos+vec2(-epsilon.x,epsilon.y),0.0);float h=getElevation(v_pos+vec2(0,epsilon.y),0.0);float i=getElevation(v_pos+vec2(epsilon.x,epsilon.y),0.0);float exaggerationFactor=u_zoom < 2.0 ? 0.4 : u_zoom < 4.5 ? 0.35 : 0.3;float exaggeration=u_zoom < 15.0 ? (u_zoom-15.0)*exaggerationFactor : 0.0;vec2 deriv=vec2((c+f+f+i)-(a+d+d+g),(g+h+h+i)-(a+b+b+c))/pow(2.0,exaggeration+(19.2562-u_zoom));gl_FragColor=clamp(vec4(deriv.x/2.0+0.5,deriv.y/2.0+0.5,1.0,1.0),0.0,1.0);\n#ifdef OVERDRAW_INSPECTOR\ngl_FragColor=vec4(1.0);\n#endif\n}","uniform mat4 u_matrix;uniform vec2 u_dimension;attribute vec2 a_pos;attribute vec2 a_texture_pos;varying vec2 v_pos;void main() {gl_Position=u_matrix*vec4(a_pos,0,1);highp vec2 epsilon=1.0/u_dimension;float scale=(u_dimension.x-2.0)/u_dimension.x;v_pos=(a_texture_pos/8192.0)*scale+epsilon;}"),hr=_r("uniform sampler2D u_image;varying vec2 v_pos;uniform vec2 u_latrange;uniform vec2 u_light;uniform vec4 u_shadow;uniform vec4 u_highlight;uniform vec4 u_accent;\n#define PI 3.141592653589793\nvoid main() {vec4 pixel=texture2D(u_image,v_pos);vec2 deriv=((pixel.rg*2.0)-1.0);float scaleFactor=cos(radians((u_latrange[0]-u_latrange[1])*(1.0-v_pos.y)+u_latrange[1]));float slope=atan(1.25*length(deriv)/scaleFactor);float aspect=deriv.x !=0.0 ? atan(deriv.y,-deriv.x) : PI/2.0*(deriv.y > 0.0 ? 1.0 :-1.0);float intensity=u_light.x;float azimuth=u_light.y+PI;float base=1.875-intensity*1.75;float maxValue=0.5*PI;float scaledSlope=intensity !=0.5 ? ((pow(base,slope)-1.0)/(pow(base,maxValue)-1.0))*maxValue : slope;float accent=cos(scaledSlope);vec4 accent_color=(1.0-accent)*u_accent*clamp(intensity*2.0,0.0,1.0);float shade=abs(mod((aspect+azimuth)/PI+0.5,2.0)-1.0);vec4 shade_color=mix(u_shadow,u_highlight,shade)*sin(scaledSlope)*clamp(intensity*2.0,0.0,1.0);gl_FragColor=accent_color*(1.0-shade_color.a)+shade_color;\n#ifdef OVERDRAW_INSPECTOR\ngl_FragColor=vec4(1.0);\n#endif\n}","uniform mat4 u_matrix;attribute vec2 a_pos;attribute vec2 a_texture_pos;varying vec2 v_pos;void main() {gl_Position=u_matrix*vec4(a_pos,0,1);v_pos=a_texture_pos/8192.0;}"),pr=_r("uniform lowp float u_device_pixel_ratio;varying vec2 v_width2;varying vec2 v_normal;varying float v_gamma_scale;\n#pragma mapbox: define highp vec4 color\n#pragma mapbox: define lowp float blur\n#pragma mapbox: define lowp float opacity\nvoid main() {\n#pragma mapbox: initialize highp vec4 color\n#pragma mapbox: initialize lowp float blur\n#pragma mapbox: initialize lowp float opacity\nfloat dist=length(v_normal)*v_width2.s;float blur2=(blur+1.0/u_device_pixel_ratio)*v_gamma_scale;float alpha=clamp(min(dist-(v_width2.t-blur2),v_width2.s-dist)/blur2,0.0,1.0);gl_FragColor=color*(alpha*opacity);\n#ifdef OVERDRAW_INSPECTOR\ngl_FragColor=vec4(1.0);\n#endif\n}","\n#define scale 0.015873016\nattribute vec2 a_pos_normal;attribute vec4 a_data;uniform mat4 u_matrix;uniform mediump float u_ratio;uniform vec2 u_units_to_pixels;uniform lowp float u_device_pixel_ratio;varying vec2 v_normal;varying vec2 v_width2;varying float v_gamma_scale;varying highp float v_linesofar;\n#pragma mapbox: define highp vec4 color\n#pragma mapbox: define lowp float blur\n#pragma mapbox: define lowp float opacity\n#pragma mapbox: define mediump float gapwidth\n#pragma mapbox: define lowp float offset\n#pragma mapbox: define mediump float width\nvoid main() {\n#pragma mapbox: initialize highp vec4 color\n#pragma mapbox: initialize lowp float blur\n#pragma mapbox: initialize lowp float opacity\n#pragma mapbox: initialize mediump float gapwidth\n#pragma mapbox: initialize lowp float offset\n#pragma mapbox: initialize mediump float width\nfloat ANTIALIASING=1.0/u_device_pixel_ratio/2.0;vec2 a_extrude=a_data.xy-128.0;float a_direction=mod(a_data.z,4.0)-1.0;v_linesofar=(floor(a_data.z/4.0)+a_data.w*64.0)*2.0;vec2 pos=floor(a_pos_normal*0.5);mediump vec2 normal=a_pos_normal-2.0*pos;normal.y=normal.y*2.0-1.0;v_normal=normal;gapwidth=gapwidth/2.0;float halfwidth=width/2.0;offset=-1.0*offset;float inset=gapwidth+(gapwidth > 0.0 ? ANTIALIASING : 0.0);float outset=gapwidth+halfwidth*(gapwidth > 0.0 ? 2.0 : 1.0)+(halfwidth==0.0 ? 0.0 : ANTIALIASING);mediump vec2 dist=outset*a_extrude*scale;mediump float u=0.5*a_direction;mediump float t=1.0-abs(u);mediump vec2 offset2=offset*a_extrude*scale*normal.y*mat2(t,-u,u,t);vec4 projected_extrude=u_matrix*vec4(dist/u_ratio,0.0,0.0);gl_Position=u_matrix*vec4(pos+offset2/u_ratio,0.0,1.0)+projected_extrude;float extrude_length_without_perspective=length(dist);float extrude_length_with_perspective=length(projected_extrude.xy/gl_Position.w*u_units_to_pixels);v_gamma_scale=extrude_length_without_perspective/extrude_length_with_perspective;v_width2=vec2(outset,inset);}"),dr=_r("uniform lowp float u_device_pixel_ratio;uniform sampler2D u_image;varying vec2 v_width2;varying vec2 v_normal;varying float v_gamma_scale;varying highp vec2 v_uv;\n#pragma mapbox: define lowp float blur\n#pragma mapbox: define lowp float opacity\nvoid main() {\n#pragma mapbox: initialize lowp float blur\n#pragma mapbox: initialize lowp float opacity\nfloat dist=length(v_normal)*v_width2.s;float blur2=(blur+1.0/u_device_pixel_ratio)*v_gamma_scale;float alpha=clamp(min(dist-(v_width2.t-blur2),v_width2.s-dist)/blur2,0.0,1.0);vec4 color=texture2D(u_image,v_uv);gl_FragColor=color*(alpha*opacity);\n#ifdef OVERDRAW_INSPECTOR\ngl_FragColor=vec4(1.0);\n#endif\n}","\n#define scale 0.015873016\nattribute vec2 a_pos_normal;attribute vec4 a_data;attribute float a_uv_x;attribute float a_split_index;uniform mat4 u_matrix;uniform mediump float u_ratio;uniform lowp float u_device_pixel_ratio;uniform vec2 u_units_to_pixels;uniform float u_image_height;varying vec2 v_normal;varying vec2 v_width2;varying float v_gamma_scale;varying highp vec2 v_uv;\n#pragma mapbox: define lowp float blur\n#pragma mapbox: define lowp float opacity\n#pragma mapbox: define mediump float gapwidth\n#pragma mapbox: define lowp float offset\n#pragma mapbox: define mediump float width\nvoid main() {\n#pragma mapbox: initialize lowp float blur\n#pragma mapbox: initialize lowp float opacity\n#pragma mapbox: initialize mediump float gapwidth\n#pragma mapbox: initialize lowp float offset\n#pragma mapbox: initialize mediump float width\nfloat ANTIALIASING=1.0/u_device_pixel_ratio/2.0;vec2 a_extrude=a_data.xy-128.0;float a_direction=mod(a_data.z,4.0)-1.0;highp float texel_height=1.0/u_image_height;highp float half_texel_height=0.5*texel_height;v_uv=vec2(a_uv_x,a_split_index*texel_height-half_texel_height);vec2 pos=floor(a_pos_normal*0.5);mediump vec2 normal=a_pos_normal-2.0*pos;normal.y=normal.y*2.0-1.0;v_normal=normal;gapwidth=gapwidth/2.0;float halfwidth=width/2.0;offset=-1.0*offset;float inset=gapwidth+(gapwidth > 0.0 ? ANTIALIASING : 0.0);float outset=gapwidth+halfwidth*(gapwidth > 0.0 ? 2.0 : 1.0)+(halfwidth==0.0 ? 0.0 : ANTIALIASING);mediump vec2 dist=outset*a_extrude*scale;mediump float u=0.5*a_direction;mediump float t=1.0-abs(u);mediump vec2 offset2=offset*a_extrude*scale*normal.y*mat2(t,-u,u,t);vec4 projected_extrude=u_matrix*vec4(dist/u_ratio,0.0,0.0);gl_Position=u_matrix*vec4(pos+offset2/u_ratio,0.0,1.0)+projected_extrude;float extrude_length_without_perspective=length(dist);float extrude_length_with_perspective=length(projected_extrude.xy/gl_Position.w*u_units_to_pixels);v_gamma_scale=extrude_length_without_perspective/extrude_length_with_perspective;v_width2=vec2(outset,inset);}"),vr=_r("uniform lowp float u_device_pixel_ratio;uniform vec2 u_texsize;uniform float u_fade;uniform mediump vec3 u_scale;uniform sampler2D u_image;varying vec2 v_normal;varying vec2 v_width2;varying float v_linesofar;varying float v_gamma_scale;varying float v_width;\n#pragma mapbox: define lowp vec4 pattern_from\n#pragma mapbox: define lowp vec4 pattern_to\n#pragma mapbox: define lowp float pixel_ratio_from\n#pragma mapbox: define lowp float pixel_ratio_to\n#pragma mapbox: define lowp float blur\n#pragma mapbox: define lowp float opacity\nvoid main() {\n#pragma mapbox: initialize mediump vec4 pattern_from\n#pragma mapbox: initialize mediump vec4 pattern_to\n#pragma mapbox: initialize lowp float pixel_ratio_from\n#pragma mapbox: initialize lowp float pixel_ratio_to\n#pragma mapbox: initialize lowp float blur\n#pragma mapbox: initialize lowp float opacity\nvec2 pattern_tl_a=pattern_from.xy;vec2 pattern_br_a=pattern_from.zw;vec2 pattern_tl_b=pattern_to.xy;vec2 pattern_br_b=pattern_to.zw;float tileZoomRatio=u_scale.x;float fromScale=u_scale.y;float toScale=u_scale.z;vec2 display_size_a=(pattern_br_a-pattern_tl_a)/pixel_ratio_from;vec2 display_size_b=(pattern_br_b-pattern_tl_b)/pixel_ratio_to;vec2 pattern_size_a=vec2(display_size_a.x*fromScale/tileZoomRatio,display_size_a.y);vec2 pattern_size_b=vec2(display_size_b.x*toScale/tileZoomRatio,display_size_b.y);float aspect_a=display_size_a.y/v_width;float aspect_b=display_size_b.y/v_width;float dist=length(v_normal)*v_width2.s;float blur2=(blur+1.0/u_device_pixel_ratio)*v_gamma_scale;float alpha=clamp(min(dist-(v_width2.t-blur2),v_width2.s-dist)/blur2,0.0,1.0);float x_a=mod(v_linesofar/pattern_size_a.x*aspect_a,1.0);float x_b=mod(v_linesofar/pattern_size_b.x*aspect_b,1.0);float y=0.5*v_normal.y+0.5;vec2 texel_size=1.0/u_texsize;vec2 pos_a=mix(pattern_tl_a*texel_size-texel_size,pattern_br_a*texel_size+texel_size,vec2(x_a,y));vec2 pos_b=mix(pattern_tl_b*texel_size-texel_size,pattern_br_b*texel_size+texel_size,vec2(x_b,y));vec4 color=mix(texture2D(u_image,pos_a),texture2D(u_image,pos_b),u_fade);gl_FragColor=color*alpha*opacity;\n#ifdef OVERDRAW_INSPECTOR\ngl_FragColor=vec4(1.0);\n#endif\n}","\n#define scale 0.015873016\n#define LINE_DISTANCE_SCALE 2.0\nattribute vec2 a_pos_normal;attribute vec4 a_data;uniform mat4 u_matrix;uniform vec2 u_units_to_pixels;uniform mediump float u_ratio;uniform lowp float u_device_pixel_ratio;varying vec2 v_normal;varying vec2 v_width2;varying float v_linesofar;varying float v_gamma_scale;varying float v_width;\n#pragma mapbox: define lowp float blur\n#pragma mapbox: define lowp float opacity\n#pragma mapbox: define lowp float offset\n#pragma mapbox: define mediump float gapwidth\n#pragma mapbox: define mediump float width\n#pragma mapbox: define lowp float floorwidth\n#pragma mapbox: define lowp vec4 pattern_from\n#pragma mapbox: define lowp vec4 pattern_to\n#pragma mapbox: define lowp float pixel_ratio_from\n#pragma mapbox: define lowp float pixel_ratio_to\nvoid main() {\n#pragma mapbox: initialize lowp float blur\n#pragma mapbox: initialize lowp float opacity\n#pragma mapbox: initialize lowp float offset\n#pragma mapbox: initialize mediump float gapwidth\n#pragma mapbox: initialize mediump float width\n#pragma mapbox: initialize lowp float floorwidth\n#pragma mapbox: initialize mediump vec4 pattern_from\n#pragma mapbox: initialize mediump vec4 pattern_to\n#pragma mapbox: initialize lowp float pixel_ratio_from\n#pragma mapbox: initialize lowp float pixel_ratio_to\nfloat ANTIALIASING=1.0/u_device_pixel_ratio/2.0;vec2 a_extrude=a_data.xy-128.0;float a_direction=mod(a_data.z,4.0)-1.0;float a_linesofar=(floor(a_data.z/4.0)+a_data.w*64.0)*LINE_DISTANCE_SCALE;vec2 pos=floor(a_pos_normal*0.5);mediump vec2 normal=a_pos_normal-2.0*pos;normal.y=normal.y*2.0-1.0;v_normal=normal;gapwidth=gapwidth/2.0;float halfwidth=width/2.0;offset=-1.0*offset;float inset=gapwidth+(gapwidth > 0.0 ? ANTIALIASING : 0.0);float outset=gapwidth+halfwidth*(gapwidth > 0.0 ? 2.0 : 1.0)+(halfwidth==0.0 ? 0.0 : ANTIALIASING);mediump vec2 dist=outset*a_extrude*scale;mediump float u=0.5*a_direction;mediump float t=1.0-abs(u);mediump vec2 offset2=offset*a_extrude*scale*normal.y*mat2(t,-u,u,t);vec4 projected_extrude=u_matrix*vec4(dist/u_ratio,0.0,0.0);gl_Position=u_matrix*vec4(pos+offset2/u_ratio,0.0,1.0)+projected_extrude;float extrude_length_without_perspective=length(dist);float extrude_length_with_perspective=length(projected_extrude.xy/gl_Position.w*u_units_to_pixels);v_gamma_scale=extrude_length_without_perspective/extrude_length_with_perspective;v_linesofar=a_linesofar;v_width2=vec2(outset,inset);v_width=floorwidth;}"),gr=_r("uniform lowp float u_device_pixel_ratio;uniform sampler2D u_image;uniform float u_sdfgamma;uniform float u_mix;varying vec2 v_normal;varying vec2 v_width2;varying vec2 v_tex_a;varying vec2 v_tex_b;varying float v_gamma_scale;\n#pragma mapbox: define highp vec4 color\n#pragma mapbox: define lowp float blur\n#pragma mapbox: define lowp float opacity\n#pragma mapbox: define mediump float width\n#pragma mapbox: define lowp float floorwidth\nvoid main() {\n#pragma mapbox: initialize highp vec4 color\n#pragma mapbox: initialize lowp float blur\n#pragma mapbox: initialize lowp float opacity\n#pragma mapbox: initialize mediump float width\n#pragma mapbox: initialize lowp float floorwidth\nfloat dist=length(v_normal)*v_width2.s;float blur2=(blur+1.0/u_device_pixel_ratio)*v_gamma_scale;float alpha=clamp(min(dist-(v_width2.t-blur2),v_width2.s-dist)/blur2,0.0,1.0);float sdfdist_a=texture2D(u_image,v_tex_a).a;float sdfdist_b=texture2D(u_image,v_tex_b).a;float sdfdist=mix(sdfdist_a,sdfdist_b,u_mix);alpha*=smoothstep(0.5-u_sdfgamma/floorwidth,0.5+u_sdfgamma/floorwidth,sdfdist);gl_FragColor=color*(alpha*opacity);\n#ifdef OVERDRAW_INSPECTOR\ngl_FragColor=vec4(1.0);\n#endif\n}","\n#define scale 0.015873016\n#define LINE_DISTANCE_SCALE 2.0\nattribute vec2 a_pos_normal;attribute vec4 a_data;uniform mat4 u_matrix;uniform mediump float u_ratio;uniform lowp float u_device_pixel_ratio;uniform vec2 u_patternscale_a;uniform float u_tex_y_a;uniform vec2 u_patternscale_b;uniform float u_tex_y_b;uniform vec2 u_units_to_pixels;varying vec2 v_normal;varying vec2 v_width2;varying vec2 v_tex_a;varying vec2 v_tex_b;varying float v_gamma_scale;\n#pragma mapbox: define highp vec4 color\n#pragma mapbox: define lowp float blur\n#pragma mapbox: define lowp float opacity\n#pragma mapbox: define mediump float gapwidth\n#pragma mapbox: define lowp float offset\n#pragma mapbox: define mediump float width\n#pragma mapbox: define lowp float floorwidth\nvoid main() {\n#pragma mapbox: initialize highp vec4 color\n#pragma mapbox: initialize lowp float blur\n#pragma mapbox: initialize lowp float opacity\n#pragma mapbox: initialize mediump float gapwidth\n#pragma mapbox: initialize lowp float offset\n#pragma mapbox: initialize mediump float width\n#pragma mapbox: initialize lowp float floorwidth\nfloat ANTIALIASING=1.0/u_device_pixel_ratio/2.0;vec2 a_extrude=a_data.xy-128.0;float a_direction=mod(a_data.z,4.0)-1.0;float a_linesofar=(floor(a_data.z/4.0)+a_data.w*64.0)*LINE_DISTANCE_SCALE;vec2 pos=floor(a_pos_normal*0.5);mediump vec2 normal=a_pos_normal-2.0*pos;normal.y=normal.y*2.0-1.0;v_normal=normal;gapwidth=gapwidth/2.0;float halfwidth=width/2.0;offset=-1.0*offset;float inset=gapwidth+(gapwidth > 0.0 ? ANTIALIASING : 0.0);float outset=gapwidth+halfwidth*(gapwidth > 0.0 ? 2.0 : 1.0)+(halfwidth==0.0 ? 0.0 : ANTIALIASING);mediump vec2 dist=outset*a_extrude*scale;mediump float u=0.5*a_direction;mediump float t=1.0-abs(u);mediump vec2 offset2=offset*a_extrude*scale*normal.y*mat2(t,-u,u,t);vec4 projected_extrude=u_matrix*vec4(dist/u_ratio,0.0,0.0);gl_Position=u_matrix*vec4(pos+offset2/u_ratio,0.0,1.0)+projected_extrude;float extrude_length_without_perspective=length(dist);float extrude_length_with_perspective=length(projected_extrude.xy/gl_Position.w*u_units_to_pixels);v_gamma_scale=extrude_length_without_perspective/extrude_length_with_perspective;v_tex_a=vec2(a_linesofar*u_patternscale_a.x/floorwidth,normal.y*u_patternscale_a.y+u_tex_y_a);v_tex_b=vec2(a_linesofar*u_patternscale_b.x/floorwidth,normal.y*u_patternscale_b.y+u_tex_y_b);v_width2=vec2(outset,inset);}"),yr=_r("uniform float u_fade_t;uniform float u_opacity;uniform sampler2D u_image0;uniform sampler2D u_image1;varying vec2 v_pos0;varying vec2 v_pos1;uniform float u_brightness_low;uniform float u_brightness_high;uniform float u_saturation_factor;uniform float u_contrast_factor;uniform vec3 u_spin_weights;void main() {vec4 color0=texture2D(u_image0,v_pos0);vec4 color1=texture2D(u_image1,v_pos1);if (color0.a > 0.0) {color0.rgb=color0.rgb/color0.a;}if (color1.a > 0.0) {color1.rgb=color1.rgb/color1.a;}vec4 color=mix(color0,color1,u_fade_t);color.a*=u_opacity;vec3 rgb=color.rgb;rgb=vec3(dot(rgb,u_spin_weights.xyz),dot(rgb,u_spin_weights.zxy),dot(rgb,u_spin_weights.yzx));float average=(color.r+color.g+color.b)/3.0;rgb+=(average-rgb)*u_saturation_factor;rgb=(rgb-0.5)*u_contrast_factor+0.5;vec3 u_high_vec=vec3(u_brightness_low,u_brightness_low,u_brightness_low);vec3 u_low_vec=vec3(u_brightness_high,u_brightness_high,u_brightness_high);gl_FragColor=vec4(mix(u_high_vec,u_low_vec,rgb)*color.a,color.a);\n#ifdef OVERDRAW_INSPECTOR\ngl_FragColor=vec4(1.0);\n#endif\n}","uniform mat4 u_matrix;uniform vec2 u_tl_parent;uniform float u_scale_parent;uniform float u_buffer_scale;attribute vec2 a_pos;attribute vec2 a_texture_pos;varying vec2 v_pos0;varying vec2 v_pos1;void main() {gl_Position=u_matrix*vec4(a_pos,0,1);v_pos0=(((a_texture_pos/8192.0)-0.5)/u_buffer_scale )+0.5;v_pos1=(v_pos0*u_scale_parent)+u_tl_parent;}"),mr=_r("uniform sampler2D u_texture;varying vec2 v_tex;varying float v_fade_opacity;\n#pragma mapbox: define lowp float opacity\nvoid main() {\n#pragma mapbox: initialize lowp float opacity\nlowp float alpha=opacity*v_fade_opacity;gl_FragColor=texture2D(u_texture,v_tex)*alpha;\n#ifdef OVERDRAW_INSPECTOR\ngl_FragColor=vec4(1.0);\n#endif\n}","const float PI=3.141592653589793;attribute vec4 a_pos_offset;attribute vec4 a_data;attribute vec4 a_pixeloffset;attribute vec3 a_projected_pos;attribute float a_fade_opacity;uniform bool u_is_size_zoom_constant;uniform bool u_is_size_feature_constant;uniform highp float u_size_t;uniform highp float u_size;uniform highp float u_camera_to_center_distance;uniform highp float u_pitch;uniform bool u_rotate_symbol;uniform highp float u_aspect_ratio;uniform float u_fade_change;uniform mat4 u_matrix;uniform mat4 u_label_plane_matrix;uniform mat4 u_coord_matrix;uniform bool u_is_text;uniform bool u_pitch_with_map;uniform vec2 u_texsize;varying vec2 v_tex;varying float v_fade_opacity;\n#pragma mapbox: define lowp float opacity\nvoid main() {\n#pragma mapbox: initialize lowp float opacity\nvec2 a_pos=a_pos_offset.xy;vec2 a_offset=a_pos_offset.zw;vec2 a_tex=a_data.xy;vec2 a_size=a_data.zw;float a_size_min=floor(a_size[0]*0.5);vec2 a_pxoffset=a_pixeloffset.xy;vec2 a_minFontScale=a_pixeloffset.zw/256.0;highp float segment_angle=-a_projected_pos[2];float size;if (!u_is_size_zoom_constant && !u_is_size_feature_constant) {size=mix(a_size_min,a_size[1],u_size_t)/128.0;} else if (u_is_size_zoom_constant && !u_is_size_feature_constant) {size=a_size_min/128.0;} else {size=u_size;}vec4 projectedPoint=u_matrix*vec4(a_pos,0,1);highp float camera_to_anchor_distance=projectedPoint.w;highp float distance_ratio=u_pitch_with_map ?\ncamera_to_anchor_distance/u_camera_to_center_distance :\nu_camera_to_center_distance/camera_to_anchor_distance;highp float perspective_ratio=clamp(0.5+0.5*distance_ratio,0.0,4.0);size*=perspective_ratio;float fontScale=u_is_text ? size/24.0 : size;highp float symbol_rotation=0.0;if (u_rotate_symbol) {vec4 offsetProjectedPoint=u_matrix*vec4(a_pos+vec2(1,0),0,1);vec2 a=projectedPoint.xy/projectedPoint.w;vec2 b=offsetProjectedPoint.xy/offsetProjectedPoint.w;symbol_rotation=atan((b.y-a.y)/u_aspect_ratio,b.x-a.x);}highp float angle_sin=sin(segment_angle+symbol_rotation);highp float angle_cos=cos(segment_angle+symbol_rotation);mat2 rotation_matrix=mat2(angle_cos,-1.0*angle_sin,angle_sin,angle_cos);vec4 projected_pos=u_label_plane_matrix*vec4(a_projected_pos.xy,0.0,1.0);gl_Position=u_coord_matrix*vec4(projected_pos.xy/projected_pos.w+rotation_matrix*(a_offset/32.0*max(a_minFontScale,fontScale)+a_pxoffset/16.0),0.0,1.0);v_tex=a_tex/u_texsize;vec2 fade_opacity=unpack_opacity(a_fade_opacity);float fade_change=fade_opacity[1] > 0.5 ? u_fade_change :-u_fade_change;v_fade_opacity=max(0.0,min(1.0,fade_opacity[0]+fade_change));}"),xr=_r("#define SDF_PX 8.0\nuniform bool u_is_halo;uniform sampler2D u_texture;uniform highp float u_gamma_scale;uniform lowp float u_device_pixel_ratio;uniform bool u_is_text;varying vec2 v_data0;varying vec3 v_data1;\n#pragma mapbox: define highp vec4 fill_color\n#pragma mapbox: define highp vec4 halo_color\n#pragma mapbox: define lowp float opacity\n#pragma mapbox: define lowp float halo_width\n#pragma mapbox: define lowp float halo_blur\nvoid main() {\n#pragma mapbox: initialize highp vec4 fill_color\n#pragma mapbox: initialize highp vec4 halo_color\n#pragma mapbox: initialize lowp float opacity\n#pragma mapbox: initialize lowp float halo_width\n#pragma mapbox: initialize lowp float halo_blur\nfloat EDGE_GAMMA=0.105/u_device_pixel_ratio;vec2 tex=v_data0.xy;float gamma_scale=v_data1.x;float size=v_data1.y;float fade_opacity=v_data1[2];float fontScale=u_is_text ? size/24.0 : size;lowp vec4 color=fill_color;highp float gamma=EDGE_GAMMA/(fontScale*u_gamma_scale);lowp float buff=(256.0-64.0)/256.0;if (u_is_halo) {color=halo_color;gamma=(halo_blur*1.19/SDF_PX+EDGE_GAMMA)/(fontScale*u_gamma_scale);buff=(6.0-halo_width/fontScale)/SDF_PX;}lowp float dist=texture2D(u_texture,tex).a;highp float gamma_scaled=gamma*gamma_scale;highp float alpha=smoothstep(buff-gamma_scaled,buff+gamma_scaled,dist);gl_FragColor=color*(alpha*opacity*fade_opacity);\n#ifdef OVERDRAW_INSPECTOR\ngl_FragColor=vec4(1.0);\n#endif\n}","const float PI=3.141592653589793;attribute vec4 a_pos_offset;attribute vec4 a_data;attribute vec4 a_pixeloffset;attribute vec3 a_projected_pos;attribute float a_fade_opacity;uniform bool u_is_size_zoom_constant;uniform bool u_is_size_feature_constant;uniform highp float u_size_t;uniform highp float u_size;uniform mat4 u_matrix;uniform mat4 u_label_plane_matrix;uniform mat4 u_coord_matrix;uniform bool u_is_text;uniform bool u_pitch_with_map;uniform highp float u_pitch;uniform bool u_rotate_symbol;uniform highp float u_aspect_ratio;uniform highp float u_camera_to_center_distance;uniform float u_fade_change;uniform vec2 u_texsize;varying vec2 v_data0;varying vec3 v_data1;\n#pragma mapbox: define highp vec4 fill_color\n#pragma mapbox: define highp vec4 halo_color\n#pragma mapbox: define lowp float opacity\n#pragma mapbox: define lowp float halo_width\n#pragma mapbox: define lowp float halo_blur\nvoid main() {\n#pragma mapbox: initialize highp vec4 fill_color\n#pragma mapbox: initialize highp vec4 halo_color\n#pragma mapbox: initialize lowp float opacity\n#pragma mapbox: initialize lowp float halo_width\n#pragma mapbox: initialize lowp float halo_blur\nvec2 a_pos=a_pos_offset.xy;vec2 a_offset=a_pos_offset.zw;vec2 a_tex=a_data.xy;vec2 a_size=a_data.zw;float a_size_min=floor(a_size[0]*0.5);vec2 a_pxoffset=a_pixeloffset.xy;highp float segment_angle=-a_projected_pos[2];float size;if (!u_is_size_zoom_constant && !u_is_size_feature_constant) {size=mix(a_size_min,a_size[1],u_size_t)/128.0;} else if (u_is_size_zoom_constant && !u_is_size_feature_constant) {size=a_size_min/128.0;} else {size=u_size;}vec4 projectedPoint=u_matrix*vec4(a_pos,0,1);highp float camera_to_anchor_distance=projectedPoint.w;highp float distance_ratio=u_pitch_with_map ?\ncamera_to_anchor_distance/u_camera_to_center_distance :\nu_camera_to_center_distance/camera_to_anchor_distance;highp float perspective_ratio=clamp(0.5+0.5*distance_ratio,0.0,4.0);size*=perspective_ratio;float fontScale=u_is_text ? size/24.0 : size;highp float symbol_rotation=0.0;if (u_rotate_symbol) {vec4 offsetProjectedPoint=u_matrix*vec4(a_pos+vec2(1,0),0,1);vec2 a=projectedPoint.xy/projectedPoint.w;vec2 b=offsetProjectedPoint.xy/offsetProjectedPoint.w;symbol_rotation=atan((b.y-a.y)/u_aspect_ratio,b.x-a.x);}highp float angle_sin=sin(segment_angle+symbol_rotation);highp float angle_cos=cos(segment_angle+symbol_rotation);mat2 rotation_matrix=mat2(angle_cos,-1.0*angle_sin,angle_sin,angle_cos);vec4 projected_pos=u_label_plane_matrix*vec4(a_projected_pos.xy,0.0,1.0);gl_Position=u_coord_matrix*vec4(projected_pos.xy/projected_pos.w+rotation_matrix*(a_offset/32.0*fontScale+a_pxoffset),0.0,1.0);float gamma_scale=gl_Position.w;vec2 fade_opacity=unpack_opacity(a_fade_opacity);float fade_change=fade_opacity[1] > 0.5 ? u_fade_change :-u_fade_change;float interpolated_fade_opacity=max(0.0,min(1.0,fade_opacity[0]+fade_change));v_data0=a_tex/u_texsize;v_data1=vec3(gamma_scale,size,interpolated_fade_opacity);}"),br=_r("#define SDF_PX 8.0\n#define SDF 1.0\n#define ICON 0.0\nuniform bool u_is_halo;uniform sampler2D u_texture;uniform sampler2D u_texture_icon;uniform highp float u_gamma_scale;uniform lowp float u_device_pixel_ratio;varying vec4 v_data0;varying vec4 v_data1;\n#pragma mapbox: define highp vec4 fill_color\n#pragma mapbox: define highp vec4 halo_color\n#pragma mapbox: define lowp float opacity\n#pragma mapbox: define lowp float halo_width\n#pragma mapbox: define lowp float halo_blur\nvoid main() {\n#pragma mapbox: initialize highp vec4 fill_color\n#pragma mapbox: initialize highp vec4 halo_color\n#pragma mapbox: initialize lowp float opacity\n#pragma mapbox: initialize lowp float halo_width\n#pragma mapbox: initialize lowp float halo_blur\nfloat fade_opacity=v_data1[2];if (v_data1.w==ICON) {vec2 tex_icon=v_data0.zw;lowp float alpha=opacity*fade_opacity;gl_FragColor=texture2D(u_texture_icon,tex_icon)*alpha;\n#ifdef OVERDRAW_INSPECTOR\ngl_FragColor=vec4(1.0);\n#endif\nreturn;}vec2 tex=v_data0.xy;float EDGE_GAMMA=0.105/u_device_pixel_ratio;float gamma_scale=v_data1.x;float size=v_data1.y;float fontScale=size/24.0;lowp vec4 color=fill_color;highp float gamma=EDGE_GAMMA/(fontScale*u_gamma_scale);lowp float buff=(256.0-64.0)/256.0;if (u_is_halo) {color=halo_color;gamma=(halo_blur*1.19/SDF_PX+EDGE_GAMMA)/(fontScale*u_gamma_scale);buff=(6.0-halo_width/fontScale)/SDF_PX;}lowp float dist=texture2D(u_texture,tex).a;highp float gamma_scaled=gamma*gamma_scale;highp float alpha=smoothstep(buff-gamma_scaled,buff+gamma_scaled,dist);gl_FragColor=color*(alpha*opacity*fade_opacity);\n#ifdef OVERDRAW_INSPECTOR\ngl_FragColor=vec4(1.0);\n#endif\n}","const float PI=3.141592653589793;attribute vec4 a_pos_offset;attribute vec4 a_data;attribute vec3 a_projected_pos;attribute float a_fade_opacity;uniform bool u_is_size_zoom_constant;uniform bool u_is_size_feature_constant;uniform highp float u_size_t;uniform highp float u_size;uniform mat4 u_matrix;uniform mat4 u_label_plane_matrix;uniform mat4 u_coord_matrix;uniform bool u_is_text;uniform bool u_pitch_with_map;uniform highp float u_pitch;uniform bool u_rotate_symbol;uniform highp float u_aspect_ratio;uniform highp float u_camera_to_center_distance;uniform float u_fade_change;uniform vec2 u_texsize;uniform vec2 u_texsize_icon;varying vec4 v_data0;varying vec4 v_data1;\n#pragma mapbox: define highp vec4 fill_color\n#pragma mapbox: define highp vec4 halo_color\n#pragma mapbox: define lowp float opacity\n#pragma mapbox: define lowp float halo_width\n#pragma mapbox: define lowp float halo_blur\nvoid main() {\n#pragma mapbox: initialize highp vec4 fill_color\n#pragma mapbox: initialize highp vec4 halo_color\n#pragma mapbox: initialize lowp float opacity\n#pragma mapbox: initialize lowp float halo_width\n#pragma mapbox: initialize lowp float halo_blur\nvec2 a_pos=a_pos_offset.xy;vec2 a_offset=a_pos_offset.zw;vec2 a_tex=a_data.xy;vec2 a_size=a_data.zw;float a_size_min=floor(a_size[0]*0.5);float is_sdf=a_size[0]-2.0*a_size_min;highp float segment_angle=-a_projected_pos[2];float size;if (!u_is_size_zoom_constant && !u_is_size_feature_constant) {size=mix(a_size_min,a_size[1],u_size_t)/128.0;} else if (u_is_size_zoom_constant && !u_is_size_feature_constant) {size=a_size_min/128.0;} else {size=u_size;}vec4 projectedPoint=u_matrix*vec4(a_pos,0,1);highp float camera_to_anchor_distance=projectedPoint.w;highp float distance_ratio=u_pitch_with_map ?\ncamera_to_anchor_distance/u_camera_to_center_distance :\nu_camera_to_center_distance/camera_to_anchor_distance;highp float perspective_ratio=clamp(0.5+0.5*distance_ratio,0.0,4.0);size*=perspective_ratio;float fontScale=size/24.0;highp float symbol_rotation=0.0;if (u_rotate_symbol) {vec4 offsetProjectedPoint=u_matrix*vec4(a_pos+vec2(1,0),0,1);vec2 a=projectedPoint.xy/projectedPoint.w;vec2 b=offsetProjectedPoint.xy/offsetProjectedPoint.w;symbol_rotation=atan((b.y-a.y)/u_aspect_ratio,b.x-a.x);}highp float angle_sin=sin(segment_angle+symbol_rotation);highp float angle_cos=cos(segment_angle+symbol_rotation);mat2 rotation_matrix=mat2(angle_cos,-1.0*angle_sin,angle_sin,angle_cos);vec4 projected_pos=u_label_plane_matrix*vec4(a_projected_pos.xy,0.0,1.0);gl_Position=u_coord_matrix*vec4(projected_pos.xy/projected_pos.w+rotation_matrix*(a_offset/32.0*fontScale),0.0,1.0);float gamma_scale=gl_Position.w;vec2 fade_opacity=unpack_opacity(a_fade_opacity);float fade_change=fade_opacity[1] > 0.5 ? u_fade_change :-u_fade_change;float interpolated_fade_opacity=max(0.0,min(1.0,fade_opacity[0]+fade_change));v_data0.xy=a_tex/u_texsize;v_data0.zw=a_tex/u_texsize_icon;v_data1=vec4(gamma_scale,size,interpolated_fade_opacity,is_sdf);}");function _r(t,e){var r=/#pragma mapbox: ([\w]+) ([\w]+) ([\w]+) ([\w]+)/g,n=e.match(/attribute ([\w]+) ([\w]+)/g),i=t.match(/uniform ([\w]+) ([\w]+)([\s]*)([\w]*)/g),a=e.match(/uniform ([\w]+) ([\w]+)([\s]*)([\w]*)/g),o=a?a.concat(i):i,s={};return{fragmentSource:t=t.replace(r,(function(t,e,r,n,i){return s[i]=!0,"define"===e?"\n#ifndef HAS_UNIFORM_u_"+i+"\nvarying "+r+" "+n+" "+i+";\n#else\nuniform "+r+" "+n+" u_"+i+";\n#endif\n":"\n#ifdef HAS_UNIFORM_u_"+i+"\n "+r+" "+n+" "+i+" = u_"+i+";\n#endif\n"})),vertexSource:e=e.replace(r,(function(t,e,r,n,i){var a="float"===n?"vec2":"vec4",o=i.match(/color/)?"color":a;return s[i]?"define"===e?"\n#ifndef HAS_UNIFORM_u_"+i+"\nuniform lowp float u_"+i+"_t;\nattribute "+r+" "+a+" a_"+i+";\nvarying "+r+" "+n+" "+i+";\n#else\nuniform "+r+" "+n+" u_"+i+";\n#endif\n":"vec4"===o?"\n#ifndef HAS_UNIFORM_u_"+i+"\n "+i+" = a_"+i+";\n#else\n "+r+" "+n+" "+i+" = u_"+i+";\n#endif\n":"\n#ifndef HAS_UNIFORM_u_"+i+"\n "+i+" = unpack_mix_"+o+"(a_"+i+", u_"+i+"_t);\n#else\n "+r+" "+n+" "+i+" = u_"+i+";\n#endif\n":"define"===e?"\n#ifndef HAS_UNIFORM_u_"+i+"\nuniform lowp float u_"+i+"_t;\nattribute "+r+" "+a+" a_"+i+";\n#else\nuniform "+r+" "+n+" u_"+i+";\n#endif\n":"vec4"===o?"\n#ifndef HAS_UNIFORM_u_"+i+"\n "+r+" "+n+" "+i+" = a_"+i+";\n#else\n "+r+" "+n+" "+i+" = u_"+i+";\n#endif\n":"\n#ifndef HAS_UNIFORM_u_"+i+"\n "+r+" "+n+" "+i+" = unpack_mix_"+o+"(a_"+i+", u_"+i+"_t);\n#else\n "+r+" "+n+" "+i+" = u_"+i+";\n#endif\n"})),staticAttributes:n,staticUniforms:o}}var wr=Object.freeze({__proto__:null,prelude:Ze,background:Ke,backgroundPattern:Je,circle:$e,clippingMask:Qe,heatmap:tr,heatmapTexture:er,collisionBox:rr,collisionCircle:nr,debug:ir,fill:ar,fillOutline:or,fillOutlinePattern:sr,fillPattern:lr,fillExtrusion:ur,fillExtrusionPattern:cr,hillshadePrepare:fr,hillshade:hr,line:pr,lineGradient:dr,linePattern:vr,lineSDF:gr,raster:yr,symbolIcon:mr,symbolSDF:xr,symbolTextAndIcon:br}),Tr=function(){this.boundProgram=null,this.boundLayoutVertexBuffer=null,this.boundPaintVertexBuffers=[],this.boundIndexBuffer=null,this.boundVertexOffset=null,this.boundDynamicVertexBuffer=null,this.vao=null};function kr(t){for(var e=[],r=0;r>16,s>>16],u_pixel_coord_lower:[65535&o,65535&s]}}Ar.prototype.draw=function(t,e,r,n,i,a,o,s,l,u,c,f,h,p,d,v){var g,y=t.gl;if(!this.failedToCreate){for(var m in t.program.set(this.program),t.setDepthMode(r),t.setStencilMode(n),t.setColorMode(i),t.setCullFace(a),this.fixedUniforms)this.fixedUniforms[m].set(o[m]);p&&p.setUniforms(t,this.binderUniforms,f,{zoom:h});for(var x=(g={},g[y.LINES]=2,g[y.TRIANGLES]=3,g[y.LINE_STRIP]=1,g)[e],b=0,_=c.get();b<_.length;b+=1){var w=_[b],T=w.vaos||(w.vaos={});(T[s]||(T[s]=new Tr)).bind(t,this,l,p?p.getPaintVertexBuffers():[],u,w.vertexOffset,d,v),y.drawElements(e,w.primitiveLength*x,y.UNSIGNED_SHORT,w.primitiveOffset*x*2)}}};var Sr=function(e,r,n,i){var a=r.style.light,o=a.properties.get("position"),s=[o.x,o.y,o.z],l=t.create$1();"viewport"===a.properties.get("anchor")&&t.fromRotation(l,-r.transform.angle),t.transformMat3(s,s,l);var u=a.properties.get("color");return{u_matrix:e,u_lightpos:s,u_lightintensity:a.properties.get("intensity"),u_lightcolor:[u.r,u.g,u.b],u_vertical_gradient:+n,u_opacity:i}},Er=function(e,r,n,i,a,o,s){return t.extend(Sr(e,r,n,i),Mr(o,r,s),{u_height_factor:-Math.pow(2,a.overscaledZ)/s.tileSize/8})},Lr=function(t){return{u_matrix:t}},Cr=function(e,r,n,i){return t.extend(Lr(e),Mr(n,r,i))},Pr=function(t,e){return{u_matrix:t,u_world:e}},Or=function(e,r,n,i,a){return t.extend(Cr(e,r,n,i),{u_world:a})},Ir=function(e,r,n,i){var a,o,s=e.transform;if("map"===i.paint.get("circle-pitch-alignment")){var l=ge(n,1,s.zoom);a=!0,o=[l,l]}else a=!1,o=s.pixelsToGLUnits;return{u_camera_to_center_distance:s.cameraToCenterDistance,u_scale_with_map:+("map"===i.paint.get("circle-pitch-scale")),u_matrix:e.translatePosMatrix(r.posMatrix,n,i.paint.get("circle-translate"),i.paint.get("circle-translate-anchor")),u_pitch_with_map:+a,u_device_pixel_ratio:t.browser.devicePixelRatio,u_extrude_scale:o}},Dr=function(t,e,r){var n=ge(r,1,e.zoom),i=Math.pow(2,e.zoom-r.tileID.overscaledZ),a=r.tileID.overscaleFactor();return{u_matrix:t,u_camera_to_center_distance:e.cameraToCenterDistance,u_pixels_to_tile_units:n,u_extrude_scale:[e.pixelsToGLUnits[0]/(n*i),e.pixelsToGLUnits[1]/(n*i)],u_overscale_factor:a}},zr=function(t,e,r){return{u_matrix:t,u_inv_matrix:e,u_camera_to_center_distance:r.cameraToCenterDistance,u_viewport_size:[r.width,r.height]}},Rr=function(t,e,r){return void 0===r&&(r=1),{u_matrix:t,u_color:e,u_overlay:0,u_overlay_scale:r}},Fr=function(t){return{u_matrix:t}},Br=function(t,e,r,n){return{u_matrix:t,u_extrude_scale:ge(e,1,r),u_intensity:n}},Nr=function(e,r,n,i){var a=t.create();t.ortho(a,0,e.width,e.height,0,0,1);var o=e.context.gl;return{u_matrix:a,u_world:[o.drawingBufferWidth,o.drawingBufferHeight],u_image:n,u_color_ramp:i,u_opacity:r.paint.get("heatmap-opacity")}},jr=function(e,r,n){var i=n.paint.get("hillshade-shadow-color"),a=n.paint.get("hillshade-highlight-color"),o=n.paint.get("hillshade-accent-color"),s=n.paint.get("hillshade-illumination-direction")*(Math.PI/180);"viewport"===n.paint.get("hillshade-illumination-anchor")&&(s-=e.transform.angle);var l,u,c,f=!e.options.moving;return{u_matrix:e.transform.calculatePosMatrix(r.tileID.toUnwrapped(),f),u_image:0,u_latrange:(l=r.tileID,u=Math.pow(2,l.canonical.z),c=l.canonical.y,[new t.MercatorCoordinate(0,c/u).toLngLat().lat,new t.MercatorCoordinate(0,(c+1)/u).toLngLat().lat]),u_light:[n.paint.get("hillshade-exaggeration"),s],u_shadow:i,u_highlight:a,u_accent:o}},Ur=function(e,r){var n=r.stride,i=t.create();return t.ortho(i,0,t.EXTENT,-t.EXTENT,0,0,1),t.translate(i,i,[0,-t.EXTENT,0]),{u_matrix:i,u_image:1,u_dimension:[n,n],u_zoom:e.overscaledZ,u_unpack:r.getUnpackVector()}};var Vr=function(e,r,n){var i=e.transform;return{u_matrix:Yr(e,r,n),u_ratio:1/ge(r,1,i.zoom),u_device_pixel_ratio:t.browser.devicePixelRatio,u_units_to_pixels:[1/i.pixelsToGLUnits[0],1/i.pixelsToGLUnits[1]]}},qr=function(e,r,n,i){return t.extend(Vr(e,r,n),{u_image:0,u_image_height:i})},Hr=function(e,r,n,i){var a=e.transform,o=Wr(r,a);return{u_matrix:Yr(e,r,n),u_texsize:r.imageAtlasTexture.size,u_ratio:1/ge(r,1,a.zoom),u_device_pixel_ratio:t.browser.devicePixelRatio,u_image:0,u_scale:[o,i.fromScale,i.toScale],u_fade:i.t,u_units_to_pixels:[1/a.pixelsToGLUnits[0],1/a.pixelsToGLUnits[1]]}},Gr=function(e,r,n,i,a){var o=e.transform,s=e.lineAtlas,l=Wr(r,o),u="round"===n.layout.get("line-cap"),c=s.getDash(i.from,u),f=s.getDash(i.to,u),h=c.width*a.fromScale,p=f.width*a.toScale;return t.extend(Vr(e,r,n),{u_patternscale_a:[l/h,-c.height/2],u_patternscale_b:[l/p,-f.height/2],u_sdfgamma:s.width/(256*Math.min(h,p)*t.browser.devicePixelRatio)/2,u_image:0,u_tex_y_a:c.y,u_tex_y_b:f.y,u_mix:a.t})};function Wr(t,e){return 1/ge(t,1,e.tileZoom)}function Yr(t,e,r){return t.translatePosMatrix(e.tileID.posMatrix,e,r.paint.get("line-translate"),r.paint.get("line-translate-anchor"))}var Xr=function(t,e,r,n,i){return{u_matrix:t,u_tl_parent:e,u_scale_parent:r,u_buffer_scale:1,u_fade_t:n.mix,u_opacity:n.opacity*i.paint.get("raster-opacity"),u_image0:0,u_image1:1,u_brightness_low:i.paint.get("raster-brightness-min"),u_brightness_high:i.paint.get("raster-brightness-max"),u_saturation_factor:(o=i.paint.get("raster-saturation"),o>0?1-1/(1.001-o):-o),u_contrast_factor:(a=i.paint.get("raster-contrast"),a>0?1/(1-a):1+a),u_spin_weights:Zr(i.paint.get("raster-hue-rotate"))};var a,o};function Zr(t){t*=Math.PI/180;var e=Math.sin(t),r=Math.cos(t);return[(2*r+1)/3,(-Math.sqrt(3)*e-r+1)/3,(Math.sqrt(3)*e-r+1)/3]}var Kr,Jr=function(t,e,r,n,i,a,o,s,l,u){var c=i.transform;return{u_is_size_zoom_constant:+("constant"===t||"source"===t),u_is_size_feature_constant:+("constant"===t||"camera"===t),u_size_t:e?e.uSizeT:0,u_size:e?e.uSize:0,u_camera_to_center_distance:c.cameraToCenterDistance,u_pitch:c.pitch/360*2*Math.PI,u_rotate_symbol:+r,u_aspect_ratio:c.width/c.height,u_fade_change:i.options.fadeDuration?i.symbolFadeChange:1,u_matrix:a,u_label_plane_matrix:o,u_coord_matrix:s,u_is_text:+l,u_pitch_with_map:+n,u_texsize:u,u_texture:0}},$r=function(e,r,n,i,a,o,s,l,u,c,f){var h=a.transform;return t.extend(Jr(e,r,n,i,a,o,s,l,u,c),{u_gamma_scale:i?Math.cos(h._pitch)*h.cameraToCenterDistance:1,u_device_pixel_ratio:t.browser.devicePixelRatio,u_is_halo:+f})},Qr=function(e,r,n,i,a,o,s,l,u,c){return t.extend($r(e,r,n,i,a,o,s,l,!0,u,!0),{u_texsize_icon:c,u_texture_icon:1})},tn=function(t,e,r){return{u_matrix:t,u_opacity:e,u_color:r}},en=function(e,r,n,i,a,o){return t.extend(function(t,e,r,n){var i=r.imageManager.getPattern(t.from.toString()),a=r.imageManager.getPattern(t.to.toString()),o=r.imageManager.getPixelSize(),s=o.width,l=o.height,u=Math.pow(2,n.tileID.overscaledZ),c=n.tileSize*Math.pow(2,r.transform.tileZoom)/u,f=c*(n.tileID.canonical.x+n.tileID.wrap*u),h=c*n.tileID.canonical.y;return{u_image:0,u_pattern_tl_a:i.tl,u_pattern_br_a:i.br,u_pattern_tl_b:a.tl,u_pattern_br_b:a.br,u_texsize:[s,l],u_mix:e.t,u_pattern_size_a:i.displaySize,u_pattern_size_b:a.displaySize,u_scale_a:e.fromScale,u_scale_b:e.toScale,u_tile_units_to_pixels:1/ge(n,1,r.transform.tileZoom),u_pixel_coord_upper:[f>>16,h>>16],u_pixel_coord_lower:[65535&f,65535&h]}}(i,o,n,a),{u_matrix:e,u_opacity:r})},rn={fillExtrusion:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_lightpos:new t.Uniform3f(e,r.u_lightpos),u_lightintensity:new t.Uniform1f(e,r.u_lightintensity),u_lightcolor:new t.Uniform3f(e,r.u_lightcolor),u_vertical_gradient:new t.Uniform1f(e,r.u_vertical_gradient),u_opacity:new t.Uniform1f(e,r.u_opacity)}},fillExtrusionPattern:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_lightpos:new t.Uniform3f(e,r.u_lightpos),u_lightintensity:new t.Uniform1f(e,r.u_lightintensity),u_lightcolor:new t.Uniform3f(e,r.u_lightcolor),u_vertical_gradient:new t.Uniform1f(e,r.u_vertical_gradient),u_height_factor:new t.Uniform1f(e,r.u_height_factor),u_image:new t.Uniform1i(e,r.u_image),u_texsize:new t.Uniform2f(e,r.u_texsize),u_pixel_coord_upper:new t.Uniform2f(e,r.u_pixel_coord_upper),u_pixel_coord_lower:new t.Uniform2f(e,r.u_pixel_coord_lower),u_scale:new t.Uniform3f(e,r.u_scale),u_fade:new t.Uniform1f(e,r.u_fade),u_opacity:new t.Uniform1f(e,r.u_opacity)}},fill:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix)}},fillPattern:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_image:new t.Uniform1i(e,r.u_image),u_texsize:new t.Uniform2f(e,r.u_texsize),u_pixel_coord_upper:new t.Uniform2f(e,r.u_pixel_coord_upper),u_pixel_coord_lower:new t.Uniform2f(e,r.u_pixel_coord_lower),u_scale:new t.Uniform3f(e,r.u_scale),u_fade:new t.Uniform1f(e,r.u_fade)}},fillOutline:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_world:new t.Uniform2f(e,r.u_world)}},fillOutlinePattern:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_world:new t.Uniform2f(e,r.u_world),u_image:new t.Uniform1i(e,r.u_image),u_texsize:new t.Uniform2f(e,r.u_texsize),u_pixel_coord_upper:new t.Uniform2f(e,r.u_pixel_coord_upper),u_pixel_coord_lower:new t.Uniform2f(e,r.u_pixel_coord_lower),u_scale:new t.Uniform3f(e,r.u_scale),u_fade:new t.Uniform1f(e,r.u_fade)}},circle:function(e,r){return{u_camera_to_center_distance:new t.Uniform1f(e,r.u_camera_to_center_distance),u_scale_with_map:new t.Uniform1i(e,r.u_scale_with_map),u_pitch_with_map:new t.Uniform1i(e,r.u_pitch_with_map),u_extrude_scale:new t.Uniform2f(e,r.u_extrude_scale),u_device_pixel_ratio:new t.Uniform1f(e,r.u_device_pixel_ratio),u_matrix:new t.UniformMatrix4f(e,r.u_matrix)}},collisionBox:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_camera_to_center_distance:new t.Uniform1f(e,r.u_camera_to_center_distance),u_pixels_to_tile_units:new t.Uniform1f(e,r.u_pixels_to_tile_units),u_extrude_scale:new t.Uniform2f(e,r.u_extrude_scale),u_overscale_factor:new t.Uniform1f(e,r.u_overscale_factor)}},collisionCircle:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_inv_matrix:new t.UniformMatrix4f(e,r.u_inv_matrix),u_camera_to_center_distance:new t.Uniform1f(e,r.u_camera_to_center_distance),u_viewport_size:new t.Uniform2f(e,r.u_viewport_size)}},debug:function(e,r){return{u_color:new t.UniformColor(e,r.u_color),u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_overlay:new t.Uniform1i(e,r.u_overlay),u_overlay_scale:new t.Uniform1f(e,r.u_overlay_scale)}},clippingMask:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix)}},heatmap:function(e,r){return{u_extrude_scale:new t.Uniform1f(e,r.u_extrude_scale),u_intensity:new t.Uniform1f(e,r.u_intensity),u_matrix:new t.UniformMatrix4f(e,r.u_matrix)}},heatmapTexture:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_world:new t.Uniform2f(e,r.u_world),u_image:new t.Uniform1i(e,r.u_image),u_color_ramp:new t.Uniform1i(e,r.u_color_ramp),u_opacity:new t.Uniform1f(e,r.u_opacity)}},hillshade:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_image:new t.Uniform1i(e,r.u_image),u_latrange:new t.Uniform2f(e,r.u_latrange),u_light:new t.Uniform2f(e,r.u_light),u_shadow:new t.UniformColor(e,r.u_shadow),u_highlight:new t.UniformColor(e,r.u_highlight),u_accent:new t.UniformColor(e,r.u_accent)}},hillshadePrepare:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_image:new t.Uniform1i(e,r.u_image),u_dimension:new t.Uniform2f(e,r.u_dimension),u_zoom:new t.Uniform1f(e,r.u_zoom),u_unpack:new t.Uniform4f(e,r.u_unpack)}},line:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_ratio:new t.Uniform1f(e,r.u_ratio),u_device_pixel_ratio:new t.Uniform1f(e,r.u_device_pixel_ratio),u_units_to_pixels:new t.Uniform2f(e,r.u_units_to_pixels)}},lineGradient:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_ratio:new t.Uniform1f(e,r.u_ratio),u_device_pixel_ratio:new t.Uniform1f(e,r.u_device_pixel_ratio),u_units_to_pixels:new t.Uniform2f(e,r.u_units_to_pixels),u_image:new t.Uniform1i(e,r.u_image),u_image_height:new t.Uniform1f(e,r.u_image_height)}},linePattern:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_texsize:new t.Uniform2f(e,r.u_texsize),u_ratio:new t.Uniform1f(e,r.u_ratio),u_device_pixel_ratio:new t.Uniform1f(e,r.u_device_pixel_ratio),u_image:new t.Uniform1i(e,r.u_image),u_units_to_pixels:new t.Uniform2f(e,r.u_units_to_pixels),u_scale:new t.Uniform3f(e,r.u_scale),u_fade:new t.Uniform1f(e,r.u_fade)}},lineSDF:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_ratio:new t.Uniform1f(e,r.u_ratio),u_device_pixel_ratio:new t.Uniform1f(e,r.u_device_pixel_ratio),u_units_to_pixels:new t.Uniform2f(e,r.u_units_to_pixels),u_patternscale_a:new t.Uniform2f(e,r.u_patternscale_a),u_patternscale_b:new t.Uniform2f(e,r.u_patternscale_b),u_sdfgamma:new t.Uniform1f(e,r.u_sdfgamma),u_image:new t.Uniform1i(e,r.u_image),u_tex_y_a:new t.Uniform1f(e,r.u_tex_y_a),u_tex_y_b:new t.Uniform1f(e,r.u_tex_y_b),u_mix:new t.Uniform1f(e,r.u_mix)}},raster:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_tl_parent:new t.Uniform2f(e,r.u_tl_parent),u_scale_parent:new t.Uniform1f(e,r.u_scale_parent),u_buffer_scale:new t.Uniform1f(e,r.u_buffer_scale),u_fade_t:new t.Uniform1f(e,r.u_fade_t),u_opacity:new t.Uniform1f(e,r.u_opacity),u_image0:new t.Uniform1i(e,r.u_image0),u_image1:new t.Uniform1i(e,r.u_image1),u_brightness_low:new t.Uniform1f(e,r.u_brightness_low),u_brightness_high:new t.Uniform1f(e,r.u_brightness_high),u_saturation_factor:new t.Uniform1f(e,r.u_saturation_factor),u_contrast_factor:new t.Uniform1f(e,r.u_contrast_factor),u_spin_weights:new t.Uniform3f(e,r.u_spin_weights)}},symbolIcon:function(e,r){return{u_is_size_zoom_constant:new t.Uniform1i(e,r.u_is_size_zoom_constant),u_is_size_feature_constant:new t.Uniform1i(e,r.u_is_size_feature_constant),u_size_t:new t.Uniform1f(e,r.u_size_t),u_size:new t.Uniform1f(e,r.u_size),u_camera_to_center_distance:new t.Uniform1f(e,r.u_camera_to_center_distance),u_pitch:new t.Uniform1f(e,r.u_pitch),u_rotate_symbol:new t.Uniform1i(e,r.u_rotate_symbol),u_aspect_ratio:new t.Uniform1f(e,r.u_aspect_ratio),u_fade_change:new t.Uniform1f(e,r.u_fade_change),u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_label_plane_matrix:new t.UniformMatrix4f(e,r.u_label_plane_matrix),u_coord_matrix:new t.UniformMatrix4f(e,r.u_coord_matrix),u_is_text:new t.Uniform1i(e,r.u_is_text),u_pitch_with_map:new t.Uniform1i(e,r.u_pitch_with_map),u_texsize:new t.Uniform2f(e,r.u_texsize),u_texture:new t.Uniform1i(e,r.u_texture)}},symbolSDF:function(e,r){return{u_is_size_zoom_constant:new t.Uniform1i(e,r.u_is_size_zoom_constant),u_is_size_feature_constant:new t.Uniform1i(e,r.u_is_size_feature_constant),u_size_t:new t.Uniform1f(e,r.u_size_t),u_size:new t.Uniform1f(e,r.u_size),u_camera_to_center_distance:new t.Uniform1f(e,r.u_camera_to_center_distance),u_pitch:new t.Uniform1f(e,r.u_pitch),u_rotate_symbol:new t.Uniform1i(e,r.u_rotate_symbol),u_aspect_ratio:new t.Uniform1f(e,r.u_aspect_ratio),u_fade_change:new t.Uniform1f(e,r.u_fade_change),u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_label_plane_matrix:new t.UniformMatrix4f(e,r.u_label_plane_matrix),u_coord_matrix:new t.UniformMatrix4f(e,r.u_coord_matrix),u_is_text:new t.Uniform1i(e,r.u_is_text),u_pitch_with_map:new t.Uniform1i(e,r.u_pitch_with_map),u_texsize:new t.Uniform2f(e,r.u_texsize),u_texture:new t.Uniform1i(e,r.u_texture),u_gamma_scale:new t.Uniform1f(e,r.u_gamma_scale),u_device_pixel_ratio:new t.Uniform1f(e,r.u_device_pixel_ratio),u_is_halo:new t.Uniform1i(e,r.u_is_halo)}},symbolTextAndIcon:function(e,r){return{u_is_size_zoom_constant:new t.Uniform1i(e,r.u_is_size_zoom_constant),u_is_size_feature_constant:new t.Uniform1i(e,r.u_is_size_feature_constant),u_size_t:new t.Uniform1f(e,r.u_size_t),u_size:new t.Uniform1f(e,r.u_size),u_camera_to_center_distance:new t.Uniform1f(e,r.u_camera_to_center_distance),u_pitch:new t.Uniform1f(e,r.u_pitch),u_rotate_symbol:new t.Uniform1i(e,r.u_rotate_symbol),u_aspect_ratio:new t.Uniform1f(e,r.u_aspect_ratio),u_fade_change:new t.Uniform1f(e,r.u_fade_change),u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_label_plane_matrix:new t.UniformMatrix4f(e,r.u_label_plane_matrix),u_coord_matrix:new t.UniformMatrix4f(e,r.u_coord_matrix),u_is_text:new t.Uniform1i(e,r.u_is_text),u_pitch_with_map:new t.Uniform1i(e,r.u_pitch_with_map),u_texsize:new t.Uniform2f(e,r.u_texsize),u_texsize_icon:new t.Uniform2f(e,r.u_texsize_icon),u_texture:new t.Uniform1i(e,r.u_texture),u_texture_icon:new t.Uniform1i(e,r.u_texture_icon),u_gamma_scale:new t.Uniform1f(e,r.u_gamma_scale),u_device_pixel_ratio:new t.Uniform1f(e,r.u_device_pixel_ratio),u_is_halo:new t.Uniform1i(e,r.u_is_halo)}},background:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_opacity:new t.Uniform1f(e,r.u_opacity),u_color:new t.UniformColor(e,r.u_color)}},backgroundPattern:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_opacity:new t.Uniform1f(e,r.u_opacity),u_image:new t.Uniform1i(e,r.u_image),u_pattern_tl_a:new t.Uniform2f(e,r.u_pattern_tl_a),u_pattern_br_a:new t.Uniform2f(e,r.u_pattern_br_a),u_pattern_tl_b:new t.Uniform2f(e,r.u_pattern_tl_b),u_pattern_br_b:new t.Uniform2f(e,r.u_pattern_br_b),u_texsize:new t.Uniform2f(e,r.u_texsize),u_mix:new t.Uniform1f(e,r.u_mix),u_pattern_size_a:new t.Uniform2f(e,r.u_pattern_size_a),u_pattern_size_b:new t.Uniform2f(e,r.u_pattern_size_b),u_scale_a:new t.Uniform1f(e,r.u_scale_a),u_scale_b:new t.Uniform1f(e,r.u_scale_b),u_pixel_coord_upper:new t.Uniform2f(e,r.u_pixel_coord_upper),u_pixel_coord_lower:new t.Uniform2f(e,r.u_pixel_coord_lower),u_tile_units_to_pixels:new t.Uniform1f(e,r.u_tile_units_to_pixels)}}};function nn(e,r,n,i,a,o,s){for(var l=e.context,u=l.gl,c=e.useProgram("collisionBox"),f=[],h=0,p=0,d=0;d0){var _=t.create(),w=m;t.mul(_,y.placementInvProjMatrix,e.transform.glCoordMatrix),t.mul(_,_,y.placementViewportMatrix),f.push({circleArray:b,circleOffset:p,transform:w,invTransform:_}),p=h+=b.length/4}x&&c.draw(l,u.LINES,Mt.disabled,Et.disabled,e.colorModeForRenderPass(),Ct.disabled,Dr(m,e.transform,g),n.id,x.layoutVertexBuffer,x.indexBuffer,x.segments,null,e.transform.zoom,null,null,x.collisionVertexBuffer)}}if(s&&f.length){var T=e.useProgram("collisionCircle"),k=new t.StructArrayLayout2f1f2i16;k.resize(4*h),k._trim();for(var A=0,M=0,S=f;M=0&&(v[y.associatedIconIndex]={shiftedAnchor:S,angle:E})}else he(y.numGlyphs,p)}if(f){d.clear();for(var C=e.icon.placedSymbolArray,P=0;P0){var s=t.browser.now(),l=(s-e.timeAdded)/o,u=r?(s-r.timeAdded)/o:-1,c=n.getSource(),f=a.coveringZoomLevel({tileSize:c.tileSize,roundZoom:c.roundZoom}),h=!r||Math.abs(r.tileID.overscaledZ-f)>Math.abs(e.tileID.overscaledZ-f),p=h&&e.refreshedUponExpiration?1:t.clamp(h?l:1-u,0,1);return e.refreshedUponExpiration&&l>=1&&(e.refreshedUponExpiration=!1),r?{opacity:1,mix:1-p}:{opacity:p,mix:0}}return{opacity:1,mix:0}}var gn=new t.Color(1,0,0,1),yn=new t.Color(0,1,0,1),mn=new t.Color(0,0,1,1),xn=new t.Color(1,0,1,1),bn=new t.Color(0,1,1,1);function _n(t){var e=t.transform.padding;wn(t,t.transform.height-(e.top||0),3,gn),wn(t,e.bottom||0,3,yn),Tn(t,e.left||0,3,mn),Tn(t,t.transform.width-(e.right||0),3,xn);var r=t.transform.centerPoint;!function(t,e,r,n){var i=20,a=2;kn(t,e-a/2,r-i/2,a,i,n),kn(t,e-i/2,r-a/2,i,a,n)}(t,r.x,t.transform.height-r.y,bn)}function wn(t,e,r,n){kn(t,0,e+r/2,t.transform.width,r,n)}function Tn(t,e,r,n){kn(t,e-r/2,0,r,t.transform.height,n)}function kn(e,r,n,i,a,o){var s=e.context,l=s.gl;l.enable(l.SCISSOR_TEST),l.scissor(r*t.browser.devicePixelRatio,n*t.browser.devicePixelRatio,i*t.browser.devicePixelRatio,a*t.browser.devicePixelRatio),s.clear({color:o}),l.disable(l.SCISSOR_TEST)}function An(e,r,n){var i=e.context,a=i.gl,o=n.posMatrix,s=e.useProgram("debug"),l=Mt.disabled,u=Et.disabled,c=e.colorModeForRenderPass(),f="$debug";i.activeTexture.set(a.TEXTURE0),e.emptyTexture.bind(a.LINEAR,a.CLAMP_TO_EDGE),s.draw(i,a.LINE_STRIP,l,u,c,Ct.disabled,Rr(o,t.Color.red),f,e.debugBuffer,e.tileBorderIndexBuffer,e.debugSegments);var h=r.getTileByID(n.key).latestRawTileData,p=h&&h.byteLength||0,d=Math.floor(p/1024),v=r.getTile(n).tileSize,g=512/Math.min(v,512)*(n.overscaledZ/e.transform.zoom)*.5,y=n.canonical.toString();n.overscaledZ!==n.canonical.z&&(y+=" => "+n.overscaledZ),function(t,e){t.initDebugOverlayCanvas();var r=t.debugOverlayCanvas,n=t.context.gl,i=t.debugOverlayCanvas.getContext("2d");i.clearRect(0,0,r.width,r.height),i.shadowColor="white",i.shadowBlur=2,i.lineWidth=1.5,i.strokeStyle="white",i.textBaseline="top",i.font="bold 36px Open Sans, sans-serif",i.fillText(e,5,5),i.strokeText(e,5,5),t.debugOverlayTexture.update(r),t.debugOverlayTexture.bind(n.LINEAR,n.CLAMP_TO_EDGE)}(e,y+" "+d+"kb"),s.draw(i,a.TRIANGLES,l,u,Lt.alphaBlended,Ct.disabled,Rr(o,t.Color.transparent,g),f,e.debugBuffer,e.quadTriangleIndexBuffer,e.debugSegments)}var Mn={symbol:function(e,r,n,i,a){if("translucent"===e.renderPass){var o=Et.disabled,s=e.colorModeForRenderPass();n.layout.get("text-variable-anchor")&&function(e,r,n,i,a,o,s){for(var l=r.transform,u="map"===a,c="map"===o,f=0,h=e;f256&&this.clearStencil(),r.setColorMode(Lt.disabled),r.setDepthMode(Mt.disabled);var i=this.useProgram("clippingMask");this._tileClippingMaskIDs={};for(var a=0,o=e;a256&&this.clearStencil();var t=this.nextStencilID++,e=this.context.gl;return new Et({func:e.NOTEQUAL,mask:255},t,255,e.KEEP,e.KEEP,e.REPLACE)},Sn.prototype.stencilModeForClipping=function(t){var e=this.context.gl;return new Et({func:e.EQUAL,mask:255},this._tileClippingMaskIDs[t.key],0,e.KEEP,e.KEEP,e.REPLACE)},Sn.prototype.stencilConfigForOverlap=function(t){var e,r=this.context.gl,n=t.sort((function(t,e){return e.overscaledZ-t.overscaledZ})),i=n[n.length-1].overscaledZ,a=n[0].overscaledZ-i+1;if(a>1){this.currentStencilSource=void 0,this.nextStencilID+a>256&&this.clearStencil();for(var o={},s=0;s=0;this.currentLayer--){var w=this.style._layers[i[this.currentLayer]],T=a[w.source],k=c[w.source];this._renderTileClippingMasks(w,k),this.renderLayer(this,T,w,k)}for(this.renderPass="translucent",this.currentLayer=0;this.currentLayer0?e.pop():null},Sn.prototype.isPatternMissing=function(t){if(!t)return!1;if(!t.from||!t.to)return!0;var e=this.imageManager.getPattern(t.from.toString()),r=this.imageManager.getPattern(t.to.toString());return!e||!r},Sn.prototype.useProgram=function(t,e){this.cache=this.cache||{};var r=""+t+(e?e.cacheKey:"")+(this._showOverdrawInspector?"/overdraw":"");return this.cache[r]||(this.cache[r]=new Ar(this.context,t,wr[t],e,rn[t],this._showOverdrawInspector)),this.cache[r]},Sn.prototype.setCustomLayerDefaults=function(){this.context.unbindVAO(),this.context.cullFace.setDefault(),this.context.activeTexture.setDefault(),this.context.pixelStoreUnpack.setDefault(),this.context.pixelStoreUnpackPremultiplyAlpha.setDefault(),this.context.pixelStoreUnpackFlipY.setDefault()},Sn.prototype.setBaseState=function(){var t=this.context.gl;this.context.cullFace.set(!1),this.context.viewport.set([0,0,this.width,this.height]),this.context.blendEquation.set(t.FUNC_ADD)},Sn.prototype.initDebugOverlayCanvas=function(){if(null==this.debugOverlayCanvas){this.debugOverlayCanvas=t.window.document.createElement("canvas"),this.debugOverlayCanvas.width=512,this.debugOverlayCanvas.height=512;var e=this.context.gl;this.debugOverlayTexture=new t.Texture(this.context,this.debugOverlayCanvas,e.RGBA)}},Sn.prototype.destroy=function(){this.emptyTexture.destroy(),this.debugOverlayTexture&&this.debugOverlayTexture.destroy()};var En=function(t,e){this.points=t,this.planes=e};En.fromInvProjectionMatrix=function(e,r,n){var i=Math.pow(2,n),a=[[-1,1,-1,1],[1,1,-1,1],[1,-1,-1,1],[-1,-1,-1,1],[-1,1,1,1],[1,1,1,1],[1,-1,1,1],[-1,-1,1,1]].map((function(r){return t.transformMat4([],r,e)})).map((function(e){return t.scale$1([],e,1/e[3]/r*i)})),o=[[0,1,2],[6,5,4],[0,3,7],[2,1,5],[3,2,6],[0,4,5]].map((function(e){var r=t.sub([],a[e[0]],a[e[1]]),n=t.sub([],a[e[2]],a[e[1]]),i=t.normalize([],t.cross([],r,n)),o=-t.dot(i,a[e[1]]);return i.concat(o)}));return new En(a,o)};var Ln=function(e,r){this.min=e,this.max=r,this.center=t.scale$2([],t.add([],this.min,this.max),.5)};Ln.prototype.quadrant=function(e){for(var r=[e%2==0,e<2],n=t.clone$2(this.min),i=t.clone$2(this.max),a=0;a=0;if(0===o)return 0;o!==r.length&&(n=!1)}if(n)return 2;for(var l=0;l<3;l++){for(var u=Number.MAX_VALUE,c=-Number.MAX_VALUE,f=0;fthis.max[l]-this.min[l])return 0}return 1};var Cn=function(t,e,r,n){if(void 0===t&&(t=0),void 0===e&&(e=0),void 0===r&&(r=0),void 0===n&&(n=0),isNaN(t)||t<0||isNaN(e)||e<0||isNaN(r)||r<0||isNaN(n)||n<0)throw new Error("Invalid value for edge-insets, top, bottom, left and right must all be numbers");this.top=t,this.bottom=e,this.left=r,this.right=n};Cn.prototype.interpolate=function(e,r,n){return null!=r.top&&null!=e.top&&(this.top=t.number(e.top,r.top,n)),null!=r.bottom&&null!=e.bottom&&(this.bottom=t.number(e.bottom,r.bottom,n)),null!=r.left&&null!=e.left&&(this.left=t.number(e.left,r.left,n)),null!=r.right&&null!=e.right&&(this.right=t.number(e.right,r.right,n)),this},Cn.prototype.getCenter=function(e,r){var n=t.clamp((this.left+e-this.right)/2,0,e),i=t.clamp((this.top+r-this.bottom)/2,0,r);return new t.Point(n,i)},Cn.prototype.equals=function(t){return this.top===t.top&&this.bottom===t.bottom&&this.left===t.left&&this.right===t.right},Cn.prototype.clone=function(){return new Cn(this.top,this.bottom,this.left,this.right)},Cn.prototype.toJSON=function(){return{top:this.top,bottom:this.bottom,left:this.left,right:this.right}};var Pn=function(e,r,n,i,a){this.tileSize=512,this.maxValidLatitude=85.051129,this._renderWorldCopies=void 0===a||a,this._minZoom=e||0,this._maxZoom=r||22,this._minPitch=null==n?0:n,this._maxPitch=null==i?60:i,this.setMaxBounds(),this.width=0,this.height=0,this._center=new t.LngLat(0,0),this.zoom=0,this.angle=0,this._fov=.6435011087932844,this._pitch=0,this._unmodified=!0,this._edgeInsets=new Cn,this._posMatrixCache={},this._alignedPosMatrixCache={}},On={minZoom:{configurable:!0},maxZoom:{configurable:!0},minPitch:{configurable:!0},maxPitch:{configurable:!0},renderWorldCopies:{configurable:!0},worldSize:{configurable:!0},centerOffset:{configurable:!0},size:{configurable:!0},bearing:{configurable:!0},pitch:{configurable:!0},fov:{configurable:!0},zoom:{configurable:!0},center:{configurable:!0},padding:{configurable:!0},centerPoint:{configurable:!0},unmodified:{configurable:!0},point:{configurable:!0}};Pn.prototype.clone=function(){var t=new Pn(this._minZoom,this._maxZoom,this._minPitch,this.maxPitch,this._renderWorldCopies);return t.tileSize=this.tileSize,t.latRange=this.latRange,t.width=this.width,t.height=this.height,t._center=this._center,t.zoom=this.zoom,t.angle=this.angle,t._fov=this._fov,t._pitch=this._pitch,t._unmodified=this._unmodified,t._edgeInsets=this._edgeInsets.clone(),t._calcMatrices(),t},On.minZoom.get=function(){return this._minZoom},On.minZoom.set=function(t){this._minZoom!==t&&(this._minZoom=t,this.zoom=Math.max(this.zoom,t))},On.maxZoom.get=function(){return this._maxZoom},On.maxZoom.set=function(t){this._maxZoom!==t&&(this._maxZoom=t,this.zoom=Math.min(this.zoom,t))},On.minPitch.get=function(){return this._minPitch},On.minPitch.set=function(t){this._minPitch!==t&&(this._minPitch=t,this.pitch=Math.max(this.pitch,t))},On.maxPitch.get=function(){return this._maxPitch},On.maxPitch.set=function(t){this._maxPitch!==t&&(this._maxPitch=t,this.pitch=Math.min(this.pitch,t))},On.renderWorldCopies.get=function(){return this._renderWorldCopies},On.renderWorldCopies.set=function(t){void 0===t?t=!0:null===t&&(t=!1),this._renderWorldCopies=t},On.worldSize.get=function(){return this.tileSize*this.scale},On.centerOffset.get=function(){return this.centerPoint._sub(this.size._div(2))},On.size.get=function(){return new t.Point(this.width,this.height)},On.bearing.get=function(){return-this.angle/Math.PI*180},On.bearing.set=function(e){var r=-t.wrap(e,-180,180)*Math.PI/180;this.angle!==r&&(this._unmodified=!1,this.angle=r,this._calcMatrices(),this.rotationMatrix=t.create$2(),t.rotate(this.rotationMatrix,this.rotationMatrix,this.angle))},On.pitch.get=function(){return this._pitch/Math.PI*180},On.pitch.set=function(e){var r=t.clamp(e,this.minPitch,this.maxPitch)/180*Math.PI;this._pitch!==r&&(this._unmodified=!1,this._pitch=r,this._calcMatrices())},On.fov.get=function(){return this._fov/Math.PI*180},On.fov.set=function(t){t=Math.max(.01,Math.min(60,t)),this._fov!==t&&(this._unmodified=!1,this._fov=t/180*Math.PI,this._calcMatrices())},On.zoom.get=function(){return this._zoom},On.zoom.set=function(t){var e=Math.min(Math.max(t,this.minZoom),this.maxZoom);this._zoom!==e&&(this._unmodified=!1,this._zoom=e,this.scale=this.zoomScale(e),this.tileZoom=Math.floor(e),this.zoomFraction=e-this.tileZoom,this._constrain(),this._calcMatrices())},On.center.get=function(){return this._center},On.center.set=function(t){t.lat===this._center.lat&&t.lng===this._center.lng||(this._unmodified=!1,this._center=t,this._constrain(),this._calcMatrices())},On.padding.get=function(){return this._edgeInsets.toJSON()},On.padding.set=function(t){this._edgeInsets.equals(t)||(this._unmodified=!1,this._edgeInsets.interpolate(this._edgeInsets,t,1),this._calcMatrices())},On.centerPoint.get=function(){return this._edgeInsets.getCenter(this.width,this.height)},Pn.prototype.isPaddingEqual=function(t){return this._edgeInsets.equals(t)},Pn.prototype.interpolatePadding=function(t,e,r){this._unmodified=!1,this._edgeInsets.interpolate(t,e,r),this._constrain(),this._calcMatrices()},Pn.prototype.coveringZoomLevel=function(t){var e=(t.roundZoom?Math.round:Math.floor)(this.zoom+this.scaleZoom(this.tileSize/t.tileSize));return Math.max(0,e)},Pn.prototype.getVisibleUnwrappedCoordinates=function(e){var r=[new t.UnwrappedTileID(0,e)];if(this._renderWorldCopies)for(var n=this.pointCoordinate(new t.Point(0,0)),i=this.pointCoordinate(new t.Point(this.width,0)),a=this.pointCoordinate(new t.Point(this.width,this.height)),o=this.pointCoordinate(new t.Point(0,this.height)),s=Math.floor(Math.min(n.x,i.x,a.x,o.x)),l=Math.floor(Math.max(n.x,i.x,a.x,o.x)),u=s-1;u<=l+1;u++)0!==u&&r.push(new t.UnwrappedTileID(u,e));return r},Pn.prototype.coveringTiles=function(e){var r=this.coveringZoomLevel(e),n=r;if(void 0!==e.minzoom&&re.maxzoom&&(r=e.maxzoom);var i=t.MercatorCoordinate.fromLngLat(this.center),a=Math.pow(2,r),o=[a*i.x,a*i.y,0],s=En.fromInvProjectionMatrix(this.invProjMatrix,this.worldSize,r),l=e.minzoom||0;this.pitch<=60&&this._edgeInsets.top<.1&&(l=r);var u=function(t){return{aabb:new Ln([t*a,0,0],[(t+1)*a,a,0]),zoom:0,x:0,y:0,wrap:t,fullyVisible:!1}},c=[],f=[],h=r,p=e.reparseOverscaled?n:r;if(this._renderWorldCopies)for(var d=1;d<=3;d++)c.push(u(-d)),c.push(u(d));for(c.push(u(0));c.length>0;){var v=c.pop(),g=v.x,y=v.y,m=v.fullyVisible;if(!m){var x=v.aabb.intersects(s);if(0===x)continue;m=2===x}var b=v.aabb.distanceX(o),_=v.aabb.distanceY(o),w=Math.max(Math.abs(b),Math.abs(_)),T=3+(1<T&&v.zoom>=l)f.push({tileID:new t.OverscaledTileID(v.zoom===h?p:v.zoom,v.wrap,v.zoom,g,y),distanceSq:t.sqrLen([o[0]-.5-g,o[1]-.5-y])});else for(var k=0;k<4;k++){var A=(g<<1)+k%2,M=(y<<1)+(k>>1);c.push({aabb:v.aabb.quadrant(k),zoom:v.zoom+1,x:A,y:M,wrap:v.wrap,fullyVisible:m})}}return f.sort((function(t,e){return t.distanceSq-e.distanceSq})).map((function(t){return t.tileID}))},Pn.prototype.resize=function(t,e){this.width=t,this.height=e,this.pixelsToGLUnits=[2/t,-2/e],this._constrain(),this._calcMatrices()},On.unmodified.get=function(){return this._unmodified},Pn.prototype.zoomScale=function(t){return Math.pow(2,t)},Pn.prototype.scaleZoom=function(t){return Math.log(t)/Math.LN2},Pn.prototype.project=function(e){var r=t.clamp(e.lat,-this.maxValidLatitude,this.maxValidLatitude);return new t.Point(t.mercatorXfromLng(e.lng)*this.worldSize,t.mercatorYfromLat(r)*this.worldSize)},Pn.prototype.unproject=function(e){return new t.MercatorCoordinate(e.x/this.worldSize,e.y/this.worldSize).toLngLat()},On.point.get=function(){return this.project(this.center)},Pn.prototype.setLocationAtPoint=function(e,r){var n=this.pointCoordinate(r),i=this.pointCoordinate(this.centerPoint),a=this.locationCoordinate(e),o=new t.MercatorCoordinate(a.x-(n.x-i.x),a.y-(n.y-i.y));this.center=this.coordinateLocation(o),this._renderWorldCopies&&(this.center=this.center.wrap())},Pn.prototype.locationPoint=function(t){return this.coordinatePoint(this.locationCoordinate(t))},Pn.prototype.pointLocation=function(t){return this.coordinateLocation(this.pointCoordinate(t))},Pn.prototype.locationCoordinate=function(e){return t.MercatorCoordinate.fromLngLat(e)},Pn.prototype.coordinateLocation=function(t){return t.toLngLat()},Pn.prototype.pointCoordinate=function(e){var r=[e.x,e.y,0,1],n=[e.x,e.y,1,1];t.transformMat4(r,r,this.pixelMatrixInverse),t.transformMat4(n,n,this.pixelMatrixInverse);var i=r[3],a=n[3],o=r[0]/i,s=n[0]/a,l=r[1]/i,u=n[1]/a,c=r[2]/i,f=n[2]/a,h=c===f?0:(0-c)/(f-c);return new t.MercatorCoordinate(t.number(o,s,h)/this.worldSize,t.number(l,u,h)/this.worldSize)},Pn.prototype.coordinatePoint=function(e){var r=[e.x*this.worldSize,e.y*this.worldSize,0,1];return t.transformMat4(r,r,this.pixelMatrix),new t.Point(r[0]/r[3],r[1]/r[3])},Pn.prototype.getBounds=function(){return(new t.LngLatBounds).extend(this.pointLocation(new t.Point(0,0))).extend(this.pointLocation(new t.Point(this.width,0))).extend(this.pointLocation(new t.Point(this.width,this.height))).extend(this.pointLocation(new t.Point(0,this.height)))},Pn.prototype.getMaxBounds=function(){return this.latRange&&2===this.latRange.length&&this.lngRange&&2===this.lngRange.length?new t.LngLatBounds([this.lngRange[0],this.latRange[0]],[this.lngRange[1],this.latRange[1]]):null},Pn.prototype.setMaxBounds=function(t){t?(this.lngRange=[t.getWest(),t.getEast()],this.latRange=[t.getSouth(),t.getNorth()],this._constrain()):(this.lngRange=null,this.latRange=[-this.maxValidLatitude,this.maxValidLatitude])},Pn.prototype.calculatePosMatrix=function(e,r){void 0===r&&(r=!1);var n=e.key,i=r?this._alignedPosMatrixCache:this._posMatrixCache;if(i[n])return i[n];var a=e.canonical,o=this.worldSize/this.zoomScale(a.z),s=a.x+Math.pow(2,a.z)*e.wrap,l=t.identity(new Float64Array(16));return t.translate(l,l,[s*o,a.y*o,0]),t.scale(l,l,[o/t.EXTENT,o/t.EXTENT,1]),t.multiply(l,r?this.alignedProjMatrix:this.projMatrix,l),i[n]=new Float32Array(l),i[n]},Pn.prototype.customLayerMatrix=function(){return this.mercatorMatrix.slice()},Pn.prototype._constrain=function(){if(this.center&&this.width&&this.height&&!this._constraining){this._constraining=!0;var e,r,n,i,a=-90,o=90,s=-180,l=180,u=this.size,c=this._unmodified;if(this.latRange){var f=this.latRange;a=t.mercatorYfromLat(f[1])*this.worldSize,e=(o=t.mercatorYfromLat(f[0])*this.worldSize)-ao&&(i=o-g)}if(this.lngRange){var y=p.x,m=u.x/2;y-ml&&(n=l-m)}void 0===n&&void 0===i||(this.center=this.unproject(new t.Point(void 0!==n?n:p.x,void 0!==i?i:p.y))),this._unmodified=c,this._constraining=!1}},Pn.prototype._calcMatrices=function(){if(this.height){var e=this._fov/2,r=this.centerOffset;this.cameraToCenterDistance=.5/Math.tan(e)*this.height;var n=Math.PI/2+this._pitch,i=this._fov*(.5+r.y/this.height),a=Math.sin(i)*this.cameraToCenterDistance/Math.sin(t.clamp(Math.PI-n-i,.01,Math.PI-.01)),o=this.point,s=o.x,l=o.y,u=1.01*(Math.cos(Math.PI/2-this._pitch)*a+this.cameraToCenterDistance),c=this.height/50,f=new Float64Array(16);t.perspective(f,this._fov,this.width/this.height,c,u),f[8]=2*-r.x/this.width,f[9]=2*r.y/this.height,t.scale(f,f,[1,-1,1]),t.translate(f,f,[0,0,-this.cameraToCenterDistance]),t.rotateX(f,f,this._pitch),t.rotateZ(f,f,this.angle),t.translate(f,f,[-s,-l,0]),this.mercatorMatrix=t.scale([],f,[this.worldSize,this.worldSize,this.worldSize]),t.scale(f,f,[1,1,t.mercatorZfromAltitude(1,this.center.lat)*this.worldSize,1]),this.projMatrix=f,this.invProjMatrix=t.invert([],this.projMatrix);var h=this.width%2/2,p=this.height%2/2,d=Math.cos(this.angle),v=Math.sin(this.angle),g=s-Math.round(s)+d*h+v*p,y=l-Math.round(l)+d*p+v*h,m=new Float64Array(f);if(t.translate(m,m,[g>.5?g-1:g,y>.5?y-1:y,0]),this.alignedProjMatrix=m,f=t.create(),t.scale(f,f,[this.width/2,-this.height/2,1]),t.translate(f,f,[1,-1,0]),this.labelPlaneMatrix=f,f=t.create(),t.scale(f,f,[1,-1,1]),t.translate(f,f,[-1,-1,0]),t.scale(f,f,[2/this.width,2/this.height,1]),this.glCoordMatrix=f,this.pixelMatrix=t.multiply(new Float64Array(16),this.labelPlaneMatrix,this.projMatrix),!(f=t.invert(new Float64Array(16),this.pixelMatrix)))throw new Error("failed to invert matrix");this.pixelMatrixInverse=f,this._posMatrixCache={},this._alignedPosMatrixCache={}}},Pn.prototype.maxPitchScaleFactor=function(){if(!this.pixelMatrixInverse)return 1;var e=this.pointCoordinate(new t.Point(0,0)),r=[e.x*this.worldSize,e.y*this.worldSize,0,1];return t.transformMat4(r,r,this.pixelMatrix)[3]/this.cameraToCenterDistance},Pn.prototype.getCameraPoint=function(){var e=this._pitch,r=Math.tan(e)*(this.cameraToCenterDistance||1);return this.centerPoint.add(new t.Point(0,r))},Pn.prototype.getCameraQueryGeometry=function(e){var r=this.getCameraPoint();if(1===e.length)return[e[0],r];for(var n=r.x,i=r.y,a=r.x,o=r.y,s=0,l=e;s=3&&!t.some((function(t){return isNaN(t)}))){var e=this._map.dragRotate.isEnabled()&&this._map.touchZoomRotate.isEnabled()?+(t[3]||0):this._map.getBearing();return this._map.jumpTo({center:[+t[2],+t[1]],zoom:+t[0],bearing:e,pitch:+(t[4]||0)}),!0}return!1},In.prototype._updateHashUnthrottled=function(){var e=t.window.location.href.replace(/(#.+)?$/,this.getHashString());try{t.window.history.replaceState(t.window.history.state,null,e)}catch(t){}};var Dn={linearity:.3,easing:t.bezier(0,0,.3,1)},zn=t.extend({deceleration:2500,maxSpeed:1400},Dn),Rn=t.extend({deceleration:20,maxSpeed:1400},Dn),Fn=t.extend({deceleration:1e3,maxSpeed:360},Dn),Bn=t.extend({deceleration:1e3,maxSpeed:90},Dn),Nn=function(t){this._map=t,this.clear()};function jn(t,e){(!t.duration||t.duration0&&r-e[0].time>160;)e.shift()},Nn.prototype._onMoveEnd=function(e){if(this._drainInertiaBuffer(),!(this._inertiaBuffer.length<2)){for(var r={zoom:0,bearing:0,pitch:0,pan:new t.Point(0,0),pinchAround:void 0,around:void 0},n=0,i=this._inertiaBuffer;n=this._clickTolerance||this._map.fire(new Vn(t.type,this._map,t))},Gn.prototype.dblclick=function(t){return this._firePreventable(new Vn(t.type,this._map,t))},Gn.prototype.mouseover=function(t){this._map.fire(new Vn(t.type,this._map,t))},Gn.prototype.mouseout=function(t){this._map.fire(new Vn(t.type,this._map,t))},Gn.prototype.touchstart=function(t){return this._firePreventable(new qn(t.type,this._map,t))},Gn.prototype.touchmove=function(t){this._map.fire(new qn(t.type,this._map,t))},Gn.prototype.touchend=function(t){this._map.fire(new qn(t.type,this._map,t))},Gn.prototype.touchcancel=function(t){this._map.fire(new qn(t.type,this._map,t))},Gn.prototype._firePreventable=function(t){if(this._map.fire(t),t.defaultPrevented)return{}},Gn.prototype.isEnabled=function(){return!0},Gn.prototype.isActive=function(){return!1},Gn.prototype.enable=function(){},Gn.prototype.disable=function(){};var Wn=function(t){this._map=t};Wn.prototype.reset=function(){this._delayContextMenu=!1,delete this._contextMenuEvent},Wn.prototype.mousemove=function(t){this._map.fire(new Vn(t.type,this._map,t))},Wn.prototype.mousedown=function(){this._delayContextMenu=!0},Wn.prototype.mouseup=function(){this._delayContextMenu=!1,this._contextMenuEvent&&(this._map.fire(new Vn("contextmenu",this._map,this._contextMenuEvent)),delete this._contextMenuEvent)},Wn.prototype.contextmenu=function(t){this._delayContextMenu?this._contextMenuEvent=t:this._map.fire(new Vn(t.type,this._map,t)),this._map.listens("contextmenu")&&t.preventDefault()},Wn.prototype.isEnabled=function(){return!0},Wn.prototype.isActive=function(){return!1},Wn.prototype.enable=function(){},Wn.prototype.disable=function(){};var Yn=function(t,e){this._map=t,this._el=t.getCanvasContainer(),this._container=t.getContainer(),this._clickTolerance=e.clickTolerance||1};function Xn(t,e){for(var r={},n=0;nthis.numTouches)&&(this.aborted=!0),this.aborted||(void 0===this.startTime&&(this.startTime=e.timeStamp),n.length===this.numTouches&&(this.centroid=function(e){for(var r=new t.Point(0,0),n=0,i=e;n30)&&(this.aborted=!0)}}},Zn.prototype.touchend=function(t,e,r){if((!this.centroid||t.timeStamp-this.startTime>500)&&(this.aborted=!0),0===r.length){var n=!this.aborted&&this.centroid;if(this.reset(),n)return n}};var Kn=function(t){this.singleTap=new Zn(t),this.numTaps=t.numTaps,this.reset()};Kn.prototype.reset=function(){this.lastTime=1/0,delete this.lastTap,this.count=0,this.singleTap.reset()},Kn.prototype.touchstart=function(t,e,r){this.singleTap.touchstart(t,e,r)},Kn.prototype.touchmove=function(t,e,r){this.singleTap.touchmove(t,e,r)},Kn.prototype.touchend=function(t,e,r){var n=this.singleTap.touchend(t,e,r);if(n){var i=t.timeStamp-this.lastTime<500,a=!this.lastTap||this.lastTap.dist(n)<30;if(i&&a||this.reset(),this.count++,this.lastTime=t.timeStamp,this.lastTap=n,this.count===this.numTaps)return this.reset(),n}};var Jn=function(){this._zoomIn=new Kn({numTouches:1,numTaps:2}),this._zoomOut=new Kn({numTouches:2,numTaps:1}),this.reset()};Jn.prototype.reset=function(){this._active=!1,this._zoomIn.reset(),this._zoomOut.reset()},Jn.prototype.touchstart=function(t,e,r){this._zoomIn.touchstart(t,e,r),this._zoomOut.touchstart(t,e,r)},Jn.prototype.touchmove=function(t,e,r){this._zoomIn.touchmove(t,e,r),this._zoomOut.touchmove(t,e,r)},Jn.prototype.touchend=function(t,e,r){var n=this,i=this._zoomIn.touchend(t,e,r),a=this._zoomOut.touchend(t,e,r);return i?(this._active=!0,t.preventDefault(),setTimeout((function(){return n.reset()}),0),{cameraAnimation:function(e){return e.easeTo({duration:300,zoom:e.getZoom()+1,around:e.unproject(i)},{originalEvent:t})}}):a?(this._active=!0,t.preventDefault(),setTimeout((function(){return n.reset()}),0),{cameraAnimation:function(e){return e.easeTo({duration:300,zoom:e.getZoom()-1,around:e.unproject(a)},{originalEvent:t})}}):void 0},Jn.prototype.touchcancel=function(){this.reset()},Jn.prototype.enable=function(){this._enabled=!0},Jn.prototype.disable=function(){this._enabled=!1,this.reset()},Jn.prototype.isEnabled=function(){return this._enabled},Jn.prototype.isActive=function(){return this._active};var $n={};$n[0]=1,$n[2]=2;var Qn=function(t){this.reset(),this._clickTolerance=t.clickTolerance||1};Qn.prototype.reset=function(){this._active=!1,this._moved=!1,delete this._lastPoint,delete this._eventButton},Qn.prototype._correctButton=function(t,e){return!1},Qn.prototype._move=function(t,e){return{}},Qn.prototype.mousedown=function(t,e){if(!this._lastPoint){var n=r.mouseButton(t);this._correctButton(t,n)&&(this._lastPoint=e,this._eventButton=n)}},Qn.prototype.mousemoveWindow=function(t,e){var r=this._lastPoint;if(r)if(t.preventDefault(),function(t,e){var r=$n[e];return void 0===t.buttons||(t.buttons&r)!==r}(t,this._eventButton))this.reset();else if(this._moved||!(e.dist(r)0&&(this._active=!0);var i=Xn(n,r),a=new t.Point(0,0),o=new t.Point(0,0),s=0;for(var l in i){var u=i[l],c=this._touches[l];c&&(a._add(u),o._add(u.sub(c)),s++,i[l]=u)}if(this._touches=i,!(sMath.abs(t.x)}var fi=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.reset=function(){t.prototype.reset.call(this),this._valid=void 0,delete this._firstMove,delete this._lastPoints},e.prototype._start=function(t){this._lastPoints=t,ci(t[0].sub(t[1]))&&(this._valid=!1)},e.prototype._move=function(t,e,r){var n=t[0].sub(this._lastPoints[0]),i=t[1].sub(this._lastPoints[1]);if(this._valid=this.gestureBeginsVertically(n,i,r.timeStamp),this._valid)return this._lastPoints=t,this._active=!0,{pitchDelta:(n.y+i.y)/2*-.5}},e.prototype.gestureBeginsVertically=function(t,e,r){if(void 0!==this._valid)return this._valid;var n=t.mag()>=2,i=e.mag()>=2;if(n||i){if(!n||!i)return void 0===this._firstMove&&(this._firstMove=r),r-this._firstMove<100&&void 0;var a=t.y>0==e.y>0;return ci(t)&&ci(e)&&a}},e}(ii),hi={panStep:100,bearingStep:15,pitchStep:10},pi=function(){var t=hi;this._panStep=t.panStep,this._bearingStep=t.bearingStep,this._pitchStep=t.pitchStep,this._rotationDisabled=!1};function di(t){return t*(2-t)}pi.prototype.reset=function(){this._active=!1},pi.prototype.keydown=function(t){var e=this;if(!(t.altKey||t.ctrlKey||t.metaKey)){var r=0,n=0,i=0,a=0,o=0;switch(t.keyCode){case 61:case 107:case 171:case 187:r=1;break;case 189:case 109:case 173:r=-1;break;case 37:t.shiftKey?n=-1:(t.preventDefault(),a=-1);break;case 39:t.shiftKey?n=1:(t.preventDefault(),a=1);break;case 38:t.shiftKey?i=1:(t.preventDefault(),o=-1);break;case 40:t.shiftKey?i=-1:(t.preventDefault(),o=1);break;default:return}return this._rotationDisabled&&(n=0,i=0),{cameraAnimation:function(s){var l=s.getZoom();s.easeTo({duration:300,easeId:"keyboardHandler",easing:di,zoom:r?Math.round(l)+r*(t.shiftKey?2:1):l,bearing:s.getBearing()+n*e._bearingStep,pitch:s.getPitch()+i*e._pitchStep,offset:[-a*e._panStep,-o*e._panStep],center:s.getCenter()},{originalEvent:t})}}}},pi.prototype.enable=function(){this._enabled=!0},pi.prototype.disable=function(){this._enabled=!1,this.reset()},pi.prototype.isEnabled=function(){return this._enabled},pi.prototype.isActive=function(){return this._active},pi.prototype.disableRotation=function(){this._rotationDisabled=!0},pi.prototype.enableRotation=function(){this._rotationDisabled=!1};var vi=4.000244140625,gi=function(e,r){this._map=e,this._el=e.getCanvasContainer(),this._handler=r,this._delta=0,this._defaultZoomRate=.01,this._wheelZoomRate=.0022222222222222222,t.bindAll(["_onTimeout"],this)};gi.prototype.setZoomRate=function(t){this._defaultZoomRate=t},gi.prototype.setWheelZoomRate=function(t){this._wheelZoomRate=t},gi.prototype.isEnabled=function(){return!!this._enabled},gi.prototype.isActive=function(){return!!this._active||void 0!==this._finishTimeout},gi.prototype.isZooming=function(){return!!this._zooming},gi.prototype.enable=function(t){this.isEnabled()||(this._enabled=!0,this._aroundCenter=t&&"center"===t.around)},gi.prototype.disable=function(){this.isEnabled()&&(this._enabled=!1)},gi.prototype.wheel=function(e){if(this.isEnabled()){var r=e.deltaMode===t.window.WheelEvent.DOM_DELTA_LINE?40*e.deltaY:e.deltaY,n=t.browser.now(),i=n-(this._lastWheelEventTime||0);this._lastWheelEventTime=n,0!==r&&r%vi==0?this._type="wheel":0!==r&&Math.abs(r)<4?this._type="trackpad":i>400?(this._type=null,this._lastValue=r,this._timeout=setTimeout(this._onTimeout,40,e)):this._type||(this._type=Math.abs(i*r)<200?"trackpad":"wheel",this._timeout&&(clearTimeout(this._timeout),this._timeout=null,r+=this._lastValue)),e.shiftKey&&r&&(r/=4),this._type&&(this._lastWheelEvent=e,this._delta-=r,this._active||this._start(e)),e.preventDefault()}},gi.prototype._onTimeout=function(t){this._type="wheel",this._delta-=this._lastValue,this._active||this._start(t)},gi.prototype._start=function(e){if(this._delta){this._frameId&&(this._frameId=null),this._active=!0,this.isZooming()||(this._zooming=!0),this._finishTimeout&&(clearTimeout(this._finishTimeout),delete this._finishTimeout);var n=r.mousePos(this._el,e);this._around=t.LngLat.convert(this._aroundCenter?this._map.getCenter():this._map.unproject(n)),this._aroundPoint=this._map.transform.locationPoint(this._around),this._frameId||(this._frameId=!0,this._handler._triggerRenderFrame())}},gi.prototype.renderFrame=function(){var e=this;if(this._frameId&&(this._frameId=null,this.isActive())){var r=this._map.transform;if(0!==this._delta){var n="wheel"===this._type&&Math.abs(this._delta)>vi?this._wheelZoomRate:this._defaultZoomRate,i=2/(1+Math.exp(-Math.abs(this._delta*n)));this._delta<0&&0!==i&&(i=1/i);var a="number"==typeof this._targetZoom?r.zoomScale(this._targetZoom):r.scale;this._targetZoom=Math.min(r.maxZoom,Math.max(r.minZoom,r.scaleZoom(a*i))),"wheel"===this._type&&(this._startZoom=r.zoom,this._easing=this._smoothOutEasing(200)),this._delta=0}var o,s="number"==typeof this._targetZoom?this._targetZoom:r.zoom,l=this._startZoom,u=this._easing,c=!1;if("wheel"===this._type&&l&&u){var f=Math.min((t.browser.now()-this._lastWheelEventTime)/200,1),h=u(f);o=t.number(l,s,h),f<1?this._frameId||(this._frameId=!0):c=!0}else o=s,c=!0;return this._active=!0,c&&(this._active=!1,this._finishTimeout=setTimeout((function(){e._zooming=!1,e._handler._triggerRenderFrame(),delete e._targetZoom,delete e._finishTimeout}),200)),{noInertia:!0,needsRenderFrame:!c,zoomDelta:o-r.zoom,around:this._aroundPoint,originalEvent:this._lastWheelEvent}}},gi.prototype._smoothOutEasing=function(e){var r=t.ease;if(this._prevEase){var n=this._prevEase,i=(t.browser.now()-n.start)/n.duration,a=n.easing(i+.01)-n.easing(i),o=.27/Math.sqrt(a*a+1e-4)*.01,s=Math.sqrt(.0729-o*o);r=t.bezier(o,s,.25,1)}return this._prevEase={start:t.browser.now(),duration:e,easing:r},r},gi.prototype.reset=function(){this._active=!1};var yi=function(t,e){this._clickZoom=t,this._tapZoom=e};yi.prototype.enable=function(){this._clickZoom.enable(),this._tapZoom.enable()},yi.prototype.disable=function(){this._clickZoom.disable(),this._tapZoom.disable()},yi.prototype.isEnabled=function(){return this._clickZoom.isEnabled()&&this._tapZoom.isEnabled()},yi.prototype.isActive=function(){return this._clickZoom.isActive()||this._tapZoom.isActive()};var mi=function(){this.reset()};mi.prototype.reset=function(){this._active=!1},mi.prototype.dblclick=function(t,e){return t.preventDefault(),{cameraAnimation:function(r){r.easeTo({duration:300,zoom:r.getZoom()+(t.shiftKey?-1:1),around:r.unproject(e)},{originalEvent:t})}}},mi.prototype.enable=function(){this._enabled=!0},mi.prototype.disable=function(){this._enabled=!1,this.reset()},mi.prototype.isEnabled=function(){return this._enabled},mi.prototype.isActive=function(){return this._active};var xi=function(){this._tap=new Kn({numTouches:1,numTaps:1}),this.reset()};xi.prototype.reset=function(){this._active=!1,delete this._swipePoint,delete this._swipeTouch,delete this._tapTime,this._tap.reset()},xi.prototype.touchstart=function(t,e,r){this._swipePoint||(this._tapTime&&t.timeStamp-this._tapTime>500&&this.reset(),this._tapTime?r.length>0&&(this._swipePoint=e[0],this._swipeTouch=r[0].identifier):this._tap.touchstart(t,e,r))},xi.prototype.touchmove=function(t,e,r){if(this._tapTime){if(this._swipePoint){if(r[0].identifier!==this._swipeTouch)return;var n=e[0],i=n.y-this._swipePoint.y;return this._swipePoint=n,t.preventDefault(),this._active=!0,{zoomDelta:i/128}}}else this._tap.touchmove(t,e,r)},xi.prototype.touchend=function(t,e,r){this._tapTime?this._swipePoint&&0===r.length&&this.reset():this._tap.touchend(t,e,r)&&(this._tapTime=t.timeStamp)},xi.prototype.touchcancel=function(){this.reset()},xi.prototype.enable=function(){this._enabled=!0},xi.prototype.disable=function(){this._enabled=!1,this.reset()},xi.prototype.isEnabled=function(){return this._enabled},xi.prototype.isActive=function(){return this._active};var bi=function(t,e,r){this._el=t,this._mousePan=e,this._touchPan=r};bi.prototype.enable=function(t){this._inertiaOptions=t||{},this._mousePan.enable(),this._touchPan.enable(),this._el.classList.add("mapboxgl-touch-drag-pan")},bi.prototype.disable=function(){this._mousePan.disable(),this._touchPan.disable(),this._el.classList.remove("mapboxgl-touch-drag-pan")},bi.prototype.isEnabled=function(){return this._mousePan.isEnabled()&&this._touchPan.isEnabled()},bi.prototype.isActive=function(){return this._mousePan.isActive()||this._touchPan.isActive()};var _i=function(t,e,r){this._pitchWithRotate=t.pitchWithRotate,this._mouseRotate=e,this._mousePitch=r};_i.prototype.enable=function(){this._mouseRotate.enable(),this._pitchWithRotate&&this._mousePitch.enable()},_i.prototype.disable=function(){this._mouseRotate.disable(),this._mousePitch.disable()},_i.prototype.isEnabled=function(){return this._mouseRotate.isEnabled()&&(!this._pitchWithRotate||this._mousePitch.isEnabled())},_i.prototype.isActive=function(){return this._mouseRotate.isActive()||this._mousePitch.isActive()};var wi=function(t,e,r,n){this._el=t,this._touchZoom=e,this._touchRotate=r,this._tapDragZoom=n,this._rotationDisabled=!1,this._enabled=!0};wi.prototype.enable=function(t){this._touchZoom.enable(t),this._rotationDisabled||this._touchRotate.enable(t),this._tapDragZoom.enable(),this._el.classList.add("mapboxgl-touch-zoom-rotate")},wi.prototype.disable=function(){this._touchZoom.disable(),this._touchRotate.disable(),this._tapDragZoom.disable(),this._el.classList.remove("mapboxgl-touch-zoom-rotate")},wi.prototype.isEnabled=function(){return this._touchZoom.isEnabled()&&(this._rotationDisabled||this._touchRotate.isEnabled())&&this._tapDragZoom.isEnabled()},wi.prototype.isActive=function(){return this._touchZoom.isActive()||this._touchRotate.isActive()||this._tapDragZoom.isActive()},wi.prototype.disableRotation=function(){this._rotationDisabled=!0,this._touchRotate.disable()},wi.prototype.enableRotation=function(){this._rotationDisabled=!1,this._touchZoom.isEnabled()&&this._touchRotate.enable()};var Ti=function(t){return t.zoom||t.drag||t.pitch||t.rotate},ki=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e}(t.Event);function Ai(t){return t.panDelta&&t.panDelta.mag()||t.zoomDelta||t.bearingDelta||t.pitchDelta}var Mi=function(e,n){this._map=e,this._el=this._map.getCanvasContainer(),this._handlers=[],this._handlersById={},this._changes=[],this._inertia=new Nn(e),this._bearingSnap=n.bearingSnap,this._previousActiveHandlers={},this._eventsInProgress={},this._addDefaultHandlers(n),t.bindAll(["handleEvent","handleWindowEvent"],this);var i=this._el;this._listeners=[[i,"touchstart",{passive:!0}],[i,"touchmove",{passive:!1}],[i,"touchend",void 0],[i,"touchcancel",void 0],[i,"mousedown",void 0],[i,"mousemove",void 0],[i,"mouseup",void 0],[t.window.document,"mousemove",{capture:!0}],[t.window.document,"mouseup",void 0],[i,"mouseover",void 0],[i,"mouseout",void 0],[i,"dblclick",void 0],[i,"click",void 0],[i,"keydown",{capture:!1}],[i,"keyup",void 0],[i,"wheel",{passive:!1}],[i,"contextmenu",void 0],[t.window,"blur",void 0]];for(var a=0,o=this._listeners;aa?Math.min(2,_):Math.max(.5,_),w=Math.pow(g,1-e),T=i.unproject(x.add(b.mult(e*w)).mult(v));i.setLocationAtPoint(i.renderWorldCopies?T.wrap():T,d)}n._fireMoveEvents(r)}),(function(t){n._afterEase(r,t)}),e),this},r.prototype._prepareEase=function(e,r,n){void 0===n&&(n={}),this._moving=!0,r||n.moving||this.fire(new t.Event("movestart",e)),this._zooming&&!n.zooming&&this.fire(new t.Event("zoomstart",e)),this._rotating&&!n.rotating&&this.fire(new t.Event("rotatestart",e)),this._pitching&&!n.pitching&&this.fire(new t.Event("pitchstart",e))},r.prototype._fireMoveEvents=function(e){this.fire(new t.Event("move",e)),this._zooming&&this.fire(new t.Event("zoom",e)),this._rotating&&this.fire(new t.Event("rotate",e)),this._pitching&&this.fire(new t.Event("pitch",e))},r.prototype._afterEase=function(e,r){if(!this._easeId||!r||this._easeId!==r){delete this._easeId;var n=this._zooming,i=this._rotating,a=this._pitching;this._moving=!1,this._zooming=!1,this._rotating=!1,this._pitching=!1,this._padding=!1,n&&this.fire(new t.Event("zoomend",e)),i&&this.fire(new t.Event("rotateend",e)),a&&this.fire(new t.Event("pitchend",e)),this.fire(new t.Event("moveend",e))}},r.prototype.flyTo=function(e,r){var n=this;if(!e.essential&&t.browser.prefersReducedMotion){var i=t.pick(e,["center","zoom","bearing","pitch","around"]);return this.jumpTo(i,r)}this.stop(),e=t.extend({offset:[0,0],speed:1.2,curve:1.42,easing:t.ease},e);var a=this.transform,o=this.getZoom(),s=this.getBearing(),l=this.getPitch(),u=this.getPadding(),c="zoom"in e?t.clamp(+e.zoom,a.minZoom,a.maxZoom):o,f="bearing"in e?this._normalizeBearing(e.bearing,s):s,h="pitch"in e?+e.pitch:l,p="padding"in e?e.padding:a.padding,d=a.zoomScale(c-o),v=t.Point.convert(e.offset),g=a.centerPoint.add(v),y=a.pointLocation(g),m=t.LngLat.convert(e.center||y);this._normalizeCenter(m);var x=a.project(y),b=a.project(m).sub(x),_=e.curve,w=Math.max(a.width,a.height),T=w/d,k=b.mag();if("minZoom"in e){var A=t.clamp(Math.min(e.minZoom,o,c),a.minZoom,a.maxZoom),M=w/a.zoomScale(A-o);_=Math.sqrt(M/k*2)}var S=_*_;function E(t){var e=(T*T-w*w+(t?-1:1)*S*S*k*k)/(2*(t?T:w)*S*k);return Math.log(Math.sqrt(e*e+1)-e)}function L(t){return(Math.exp(t)-Math.exp(-t))/2}function C(t){return(Math.exp(t)+Math.exp(-t))/2}var P=E(0),O=function(t){return C(P)/C(P+_*t)},I=function(t){return w*((C(P)*(L(e=P+_*t)/C(e))-L(P))/S)/k;var e},D=(E(1)-P)/_;if(Math.abs(k)<1e-6||!isFinite(D)){if(Math.abs(w-T)<1e-6)return this.easeTo(e,r);var z=Te.maxDuration&&(e.duration=0),this._zooming=!0,this._rotating=s!==f,this._pitching=h!==l,this._padding=!a.isPaddingEqual(p),this._prepareEase(r,!1),this._ease((function(e){var i=e*D,d=1/O(i);a.zoom=1===e?c:o+a.scaleZoom(d),n._rotating&&(a.bearing=t.number(s,f,e)),n._pitching&&(a.pitch=t.number(l,h,e)),n._padding&&(a.interpolatePadding(u,p,e),g=a.centerPoint.add(v));var y=1===e?m:a.unproject(x.add(b.mult(I(i))).mult(d));a.setLocationAtPoint(a.renderWorldCopies?y.wrap():y,g),n._fireMoveEvents(r)}),(function(){return n._afterEase(r)}),e),this},r.prototype.isEasing=function(){return!!this._easeFrameId},r.prototype.stop=function(){return this._stop()},r.prototype._stop=function(t,e){if(this._easeFrameId&&(this._cancelRenderFrame(this._easeFrameId),delete this._easeFrameId,delete this._onEaseFrame),this._onEaseEnd){var r=this._onEaseEnd;delete this._onEaseEnd,r.call(this,e)}if(!t){var n=this.handlers;n&&n.stop(!1)}return this},r.prototype._ease=function(e,r,n){!1===n.animate||0===n.duration?(e(1),r()):(this._easeStart=t.browser.now(),this._easeOptions=n,this._onEaseFrame=e,this._onEaseEnd=r,this._easeFrameId=this._requestRenderFrame(this._renderFrameCallback))},r.prototype._renderFrameCallback=function(){var e=Math.min((t.browser.now()-this._easeStart)/this._easeOptions.duration,1);this._onEaseFrame(this._easeOptions.easing(e)),e<1?this._easeFrameId=this._requestRenderFrame(this._renderFrameCallback):this.stop()},r.prototype._normalizeBearing=function(e,r){e=t.wrap(e,-180,180);var n=Math.abs(e-r);return Math.abs(e-360-r)180?-360:r<-180?360:0}},r}(t.Evented),Ei=function(e){void 0===e&&(e={}),this.options=e,t.bindAll(["_toggleAttribution","_updateEditLink","_updateData","_updateCompact"],this)};Ei.prototype.getDefaultPosition=function(){return"bottom-right"},Ei.prototype.onAdd=function(t){var e=this.options&&this.options.compact;return this._map=t,this._container=r.create("div","mapboxgl-ctrl mapboxgl-ctrl-attrib"),this._compactButton=r.create("button","mapboxgl-ctrl-attrib-button",this._container),this._compactButton.addEventListener("click",this._toggleAttribution),this._setElementTitle(this._compactButton,"ToggleAttribution"),this._innerContainer=r.create("div","mapboxgl-ctrl-attrib-inner",this._container),this._innerContainer.setAttribute("role","list"),e&&this._container.classList.add("mapboxgl-compact"),this._updateAttributions(),this._updateEditLink(),this._map.on("styledata",this._updateData),this._map.on("sourcedata",this._updateData),this._map.on("moveend",this._updateEditLink),void 0===e&&(this._map.on("resize",this._updateCompact),this._updateCompact()),this._container},Ei.prototype.onRemove=function(){r.remove(this._container),this._map.off("styledata",this._updateData),this._map.off("sourcedata",this._updateData),this._map.off("moveend",this._updateEditLink),this._map.off("resize",this._updateCompact),this._map=void 0,this._attribHTML=void 0},Ei.prototype._setElementTitle=function(t,e){var r=this._map._getUIString("AttributionControl."+e);t.title=r,t.setAttribute("aria-label",r)},Ei.prototype._toggleAttribution=function(){this._container.classList.contains("mapboxgl-compact-show")?(this._container.classList.remove("mapboxgl-compact-show"),this._compactButton.setAttribute("aria-pressed","false")):(this._container.classList.add("mapboxgl-compact-show"),this._compactButton.setAttribute("aria-pressed","true"))},Ei.prototype._updateEditLink=function(){var e=this._editLink;e||(e=this._editLink=this._container.querySelector(".mapbox-improve-map"));var r=[{key:"owner",value:this.styleOwner},{key:"id",value:this.styleId},{key:"access_token",value:this._map._requestManager._customAccessToken||t.config.ACCESS_TOKEN}];if(e){var n=r.reduce((function(t,e,n){return e.value&&(t+=e.key+"="+e.value+(n=0)return!1;return!0}))).join(" | ");o!==this._attribHTML&&(this._attribHTML=o,t.length?(this._innerContainer.innerHTML=o,this._container.classList.remove("mapboxgl-attrib-empty")):this._container.classList.add("mapboxgl-attrib-empty"),this._editLink=null)}},Ei.prototype._updateCompact=function(){this._map.getCanvasContainer().offsetWidth<=640?this._container.classList.add("mapboxgl-compact"):this._container.classList.remove("mapboxgl-compact","mapboxgl-compact-show")};var Li=function(){t.bindAll(["_updateLogo"],this),t.bindAll(["_updateCompact"],this)};Li.prototype.onAdd=function(t){this._map=t,this._container=r.create("div","mapboxgl-ctrl");var e=r.create("a","mapboxgl-ctrl-logo");return e.target="_blank",e.rel="noopener nofollow",e.href="https://www.mapbox.com/",e.setAttribute("aria-label",this._map._getUIString("LogoControl.Title")),e.setAttribute("rel","noopener nofollow"),this._container.appendChild(e),this._container.style.display="none",this._map.on("sourcedata",this._updateLogo),this._updateLogo(),this._map.on("resize",this._updateCompact),this._updateCompact(),this._container},Li.prototype.onRemove=function(){r.remove(this._container),this._map.off("sourcedata",this._updateLogo),this._map.off("resize",this._updateCompact)},Li.prototype.getDefaultPosition=function(){return"bottom-left"},Li.prototype._updateLogo=function(t){t&&"metadata"!==t.sourceDataType||(this._container.style.display=this._logoRequired()?"block":"none")},Li.prototype._logoRequired=function(){if(this._map.style){var t=this._map.style.sourceCaches;for(var e in t)if(t[e].getSource().mapbox_logo)return!0;return!1}},Li.prototype._updateCompact=function(){var t=this._container.children;if(t.length){var e=t[0];this._map.getCanvasContainer().offsetWidth<250?e.classList.add("mapboxgl-compact"):e.classList.remove("mapboxgl-compact")}};var Ci=function(){this._queue=[],this._id=0,this._cleared=!1,this._currentlyRunning=!1};Ci.prototype.add=function(t){var e=++this._id;return this._queue.push({callback:t,id:e,cancelled:!1}),e},Ci.prototype.remove=function(t){for(var e=this._currentlyRunning,r=0,n=e?this._queue.concat(e):this._queue;re.maxZoom)throw new Error("maxZoom must be greater than or equal to minZoom");if(null!=e.minPitch&&null!=e.maxPitch&&e.minPitch>e.maxPitch)throw new Error("maxPitch must be greater than or equal to minPitch");if(null!=e.minPitch&&e.minPitch<0)throw new Error("minPitch must be greater than or equal to 0");if(null!=e.maxPitch&&e.maxPitch>zi)throw new Error("maxPitch must be less than or equal to 60");var i=new Pn(e.minZoom,e.maxZoom,e.minPitch,e.maxPitch,e.renderWorldCopies);if(n.call(this,i,e),this._interactive=e.interactive,this._maxTileCacheSize=e.maxTileCacheSize,this._failIfMajorPerformanceCaveat=e.failIfMajorPerformanceCaveat,this._preserveDrawingBuffer=e.preserveDrawingBuffer,this._antialias=e.antialias,this._trackResize=e.trackResize,this._bearingSnap=e.bearingSnap,this._refreshExpiredTiles=e.refreshExpiredTiles,this._fadeDuration=e.fadeDuration,this._crossSourceCollisions=e.crossSourceCollisions,this._crossFadingFactor=1,this._collectResourceTiming=e.collectResourceTiming,this._renderTaskQueue=new Ci,this._controls=[],this._mapId=t.uniqueId(),this._locale=t.extend({},Pi,e.locale),this._clickTolerance=e.clickTolerance,this._requestManager=new t.RequestManager(e.transformRequest,e.accessToken),"string"==typeof e.container){if(this._container=t.window.document.getElementById(e.container),!this._container)throw new Error("Container '"+e.container+"' not found.")}else{if(!(e.container instanceof Ii))throw new Error("Invalid type: 'container' must be a String or HTMLElement.");this._container=e.container}if(e.maxBounds&&this.setMaxBounds(e.maxBounds),t.bindAll(["_onWindowOnline","_onWindowResize","_onMapScroll","_contextLost","_contextRestored"],this),this._setupContainer(),this._setupPainter(),void 0===this.painter)throw new Error("Failed to initialize WebGL.");this.on("move",(function(){return r._update(!1)})),this.on("moveend",(function(){return r._update(!1)})),this.on("zoom",(function(){return r._update(!0)})),void 0!==t.window&&(t.window.addEventListener("online",this._onWindowOnline,!1),t.window.addEventListener("resize",this._onWindowResize,!1),t.window.addEventListener("orientationchange",this._onWindowResize,!1)),this.handlers=new Mi(this,e);var a="string"==typeof e.hash&&e.hash||void 0;this._hash=e.hash&&new In(a).addTo(this),this._hash&&this._hash._onHashChange()||(this.jumpTo({center:e.center,zoom:e.zoom,bearing:e.bearing,pitch:e.pitch}),e.bounds&&(this.resize(),this.fitBounds(e.bounds,t.extend({},e.fitBoundsOptions,{duration:0})))),this.resize(),this._localIdeographFontFamily=e.localIdeographFontFamily,e.style&&this.setStyle(e.style,{localIdeographFontFamily:e.localIdeographFontFamily}),e.attributionControl&&this.addControl(new Ei({customAttribution:e.customAttribution})),this.addControl(new Li,e.logoPosition),this.on("style.load",(function(){r.transform.unmodified&&r.jumpTo(r.style.stylesheet)})),this.on("data",(function(e){r._update("style"===e.dataType),r.fire(new t.Event(e.dataType+"data",e))})),this.on("dataloading",(function(e){r.fire(new t.Event(e.dataType+"dataloading",e))}))}n&&(i.__proto__=n),i.prototype=Object.create(n&&n.prototype),i.prototype.constructor=i;var a={showTileBoundaries:{configurable:!0},showPadding:{configurable:!0},showCollisionBoxes:{configurable:!0},showOverdrawInspector:{configurable:!0},repaint:{configurable:!0},vertices:{configurable:!0},version:{configurable:!0}};return i.prototype._getMapId=function(){return this._mapId},i.prototype.addControl=function(e,r){if(void 0===r&&(r=e.getDefaultPosition?e.getDefaultPosition():"top-right"),!e||!e.onAdd)return this.fire(new t.ErrorEvent(new Error("Invalid argument to map.addControl(). Argument must be a control with onAdd and onRemove methods.")));var n=e.onAdd(this);this._controls.push(e);var i=this._controlPositions[r];return-1!==r.indexOf("bottom")?i.insertBefore(n,i.firstChild):i.appendChild(n),this},i.prototype.removeControl=function(e){if(!e||!e.onRemove)return this.fire(new t.ErrorEvent(new Error("Invalid argument to map.removeControl(). Argument must be a control with onAdd and onRemove methods.")));var r=this._controls.indexOf(e);return r>-1&&this._controls.splice(r,1),e.onRemove(this),this},i.prototype.hasControl=function(t){return this._controls.indexOf(t)>-1},i.prototype.resize=function(e){var r=this._containerDimensions(),n=r[0],i=r[1];this._resizeCanvas(n,i),this.transform.resize(n,i),this.painter.resize(n,i);var a=!this._moving;return a&&(this.stop(),this.fire(new t.Event("movestart",e)).fire(new t.Event("move",e))),this.fire(new t.Event("resize",e)),a&&this.fire(new t.Event("moveend",e)),this},i.prototype.getBounds=function(){return this.transform.getBounds()},i.prototype.getMaxBounds=function(){return this.transform.getMaxBounds()},i.prototype.setMaxBounds=function(e){return this.transform.setMaxBounds(t.LngLatBounds.convert(e)),this._update()},i.prototype.setMinZoom=function(t){if((t=null==t?-2:t)>=-2&&t<=this.transform.maxZoom)return this.transform.minZoom=t,this._update(),this.getZoom()=this.transform.minZoom)return this.transform.maxZoom=t,this._update(),this.getZoom()>t&&this.setZoom(t),this;throw new Error("maxZoom must be greater than the current minZoom")},i.prototype.getMaxZoom=function(){return this.transform.maxZoom},i.prototype.setMinPitch=function(t){if((t=null==t?0:t)<0)throw new Error("minPitch must be greater than or equal to 0");if(t>=0&&t<=this.transform.maxPitch)return this.transform.minPitch=t,this._update(),this.getPitch()zi)throw new Error("maxPitch must be less than or equal to 60");if(t>=this.transform.minPitch)return this.transform.maxPitch=t,this._update(),this.getPitch()>t&&this.setPitch(t),this;throw new Error("maxPitch must be greater than the current minPitch")},i.prototype.getMaxPitch=function(){return this.transform.maxPitch},i.prototype.getRenderWorldCopies=function(){return this.transform.renderWorldCopies},i.prototype.setRenderWorldCopies=function(t){return this.transform.renderWorldCopies=t,this._update()},i.prototype.project=function(e){return this.transform.locationPoint(t.LngLat.convert(e))},i.prototype.unproject=function(e){return this.transform.pointLocation(t.Point.convert(e))},i.prototype.isMoving=function(){return this._moving||this.handlers.isMoving()},i.prototype.isZooming=function(){return this._zooming||this.handlers.isZooming()},i.prototype.isRotating=function(){return this._rotating||this.handlers.isRotating()},i.prototype._createDelegatedListener=function(t,e,r){var n,i=this;if("mouseenter"===t||"mouseover"===t){var a=!1;return{layer:e,listener:r,delegates:{mousemove:function(n){var o=i.getLayer(e)?i.queryRenderedFeatures(n.point,{layers:[e]}):[];o.length?a||(a=!0,r.call(i,new Vn(t,i,n.originalEvent,{features:o}))):a=!1},mouseout:function(){a=!1}}}}if("mouseleave"===t||"mouseout"===t){var o=!1;return{layer:e,listener:r,delegates:{mousemove:function(n){(i.getLayer(e)?i.queryRenderedFeatures(n.point,{layers:[e]}):[]).length?o=!0:o&&(o=!1,r.call(i,new Vn(t,i,n.originalEvent)))},mouseout:function(e){o&&(o=!1,r.call(i,new Vn(t,i,e.originalEvent)))}}}}return{layer:e,listener:r,delegates:(n={},n[t]=function(t){var n=i.getLayer(e)?i.queryRenderedFeatures(t.point,{layers:[e]}):[];n.length&&(t.features=n,r.call(i,t),delete t.features)},n)}},i.prototype.on=function(t,e,r){if(void 0===r)return n.prototype.on.call(this,t,e);var i=this._createDelegatedListener(t,e,r);for(var a in this._delegatedListeners=this._delegatedListeners||{},this._delegatedListeners[t]=this._delegatedListeners[t]||[],this._delegatedListeners[t].push(i),i.delegates)this.on(a,i.delegates[a]);return this},i.prototype.once=function(t,e,r){if(void 0===r)return n.prototype.once.call(this,t,e);var i=this._createDelegatedListener(t,e,r);for(var a in i.delegates)this.once(a,i.delegates[a]);return this},i.prototype.off=function(t,e,r){var i=this;if(void 0===r)return n.prototype.off.call(this,t,e);return this._delegatedListeners&&this._delegatedListeners[t]&&function(n){for(var a=n[t],o=0;o180;){var s=n.locationPoint(e);if(s.x>=0&&s.y>=0&&s.x<=n.width&&s.y<=n.height)break;e.lng>n.center.lng?e.lng-=360:e.lng+=360}return e}Ui.prototype.down=function(t,e){this.mouseRotate.mousedown(t,e),this.mousePitch&&this.mousePitch.mousedown(t,e),r.disableDrag()},Ui.prototype.move=function(t,e){var r=this.map,n=this.mouseRotate.mousemoveWindow(t,e);if(n&&n.bearingDelta&&r.setBearing(r.getBearing()+n.bearingDelta),this.mousePitch){var i=this.mousePitch.mousemoveWindow(t,e);i&&i.pitchDelta&&r.setPitch(r.getPitch()+i.pitchDelta)}},Ui.prototype.off=function(){var t=this.element;r.removeEventListener(t,"mousedown",this.mousedown),r.removeEventListener(t,"touchstart",this.touchstart,{passive:!1}),r.removeEventListener(t,"touchmove",this.touchmove),r.removeEventListener(t,"touchend",this.touchend),r.removeEventListener(t,"touchcancel",this.reset),this.offTemp()},Ui.prototype.offTemp=function(){r.enableDrag(),r.removeEventListener(t.window,"mousemove",this.mousemove),r.removeEventListener(t.window,"mouseup",this.mouseup)},Ui.prototype.mousedown=function(e){this.down(t.extend({},e,{ctrlKey:!0,preventDefault:function(){return e.preventDefault()}}),r.mousePos(this.element,e)),r.addEventListener(t.window,"mousemove",this.mousemove),r.addEventListener(t.window,"mouseup",this.mouseup)},Ui.prototype.mousemove=function(t){this.move(t,r.mousePos(this.element,t))},Ui.prototype.mouseup=function(t){this.mouseRotate.mouseupWindow(t),this.mousePitch&&this.mousePitch.mouseupWindow(t),this.offTemp()},Ui.prototype.touchstart=function(t){1!==t.targetTouches.length?this.reset():(this._startPos=this._lastPos=r.touchPos(this.element,t.targetTouches)[0],this.down({type:"mousedown",button:0,ctrlKey:!0,preventDefault:function(){return t.preventDefault()}},this._startPos))},Ui.prototype.touchmove=function(t){1!==t.targetTouches.length?this.reset():(this._lastPos=r.touchPos(this.element,t.targetTouches)[0],this.move({preventDefault:function(){return t.preventDefault()}},this._lastPos))},Ui.prototype.touchend=function(t){0===t.targetTouches.length&&this._startPos&&this._lastPos&&this._startPos.dist(this._lastPos)=r}this._isDragging&&(this._pos=e.point.sub(this._positionDelta),this._lngLat=this._map.unproject(this._pos),this.setLngLat(this._lngLat),this._element.style.pointerEvents="none","pending"===this._state&&(this._state="active",this.fire(new t.Event("dragstart"))),this.fire(new t.Event("drag")))},n.prototype._onUp=function(){this._element.style.pointerEvents="auto",this._positionDelta=null,this._pointerdownPos=null,this._isDragging=!1,this._map.off("mousemove",this._onMove),this._map.off("touchmove",this._onMove),"active"===this._state&&this.fire(new t.Event("dragend")),this._state="inactive"},n.prototype._addDragHandler=function(t){this._element.contains(t.originalEvent.target)&&(t.preventDefault(),this._positionDelta=t.point.sub(this._pos).add(this._offset),this._pointerdownPos=t.point,this._state="pending",this._map.on("mousemove",this._onMove),this._map.on("touchmove",this._onMove),this._map.once("mouseup",this._onUp),this._map.once("touchend",this._onUp))},n.prototype.setDraggable=function(t){return this._draggable=!!t,this._map&&(t?(this._map.on("mousedown",this._addDragHandler),this._map.on("touchstart",this._addDragHandler)):(this._map.off("mousedown",this._addDragHandler),this._map.off("touchstart",this._addDragHandler))),this},n.prototype.isDraggable=function(){return this._draggable},n.prototype.setRotation=function(t){return this._rotation=t||0,this._update(),this},n.prototype.getRotation=function(){return this._rotation},n.prototype.setRotationAlignment=function(t){return this._rotationAlignment=t||"auto",this._update(),this},n.prototype.getRotationAlignment=function(){return this._rotationAlignment},n.prototype.setPitchAlignment=function(t){return this._pitchAlignment=t&&"auto"!==t?t:this._rotationAlignment,this._update(),this},n.prototype.getPitchAlignment=function(){return this._pitchAlignment},n}(t.Evented),Yi={positionOptions:{enableHighAccuracy:!1,maximumAge:0,timeout:6e3},fitBoundsOptions:{maxZoom:15},trackUserLocation:!1,showAccuracyCircle:!0,showUserLocation:!0};var Xi=0,Zi=!1,Ki=function(e){function n(r){e.call(this),this.options=t.extend({},Yi,r),t.bindAll(["_onSuccess","_onError","_onZoom","_finish","_setupUI","_updateCamera","_updateMarker"],this)}return e&&(n.__proto__=e),n.prototype=Object.create(e&&e.prototype),n.prototype.constructor=n,n.prototype.onAdd=function(e){return this._map=e,this._container=r.create("div","mapboxgl-ctrl mapboxgl-ctrl-group"),n=this._setupUI,void 0!==Gi?n(Gi):void 0!==t.window.navigator.permissions?t.window.navigator.permissions.query({name:"geolocation"}).then((function(t){Gi="denied"!==t.state,n(Gi)})):(Gi=!!t.window.navigator.geolocation,n(Gi)),this._container;var n},n.prototype.onRemove=function(){void 0!==this._geolocationWatchID&&(t.window.navigator.geolocation.clearWatch(this._geolocationWatchID),this._geolocationWatchID=void 0),this.options.showUserLocation&&this._userLocationDotMarker&&this._userLocationDotMarker.remove(),this.options.showAccuracyCircle&&this._accuracyCircleMarker&&this._accuracyCircleMarker.remove(),r.remove(this._container),this._map.off("zoom",this._onZoom),this._map=void 0,Xi=0,Zi=!1},n.prototype._isOutOfMapMaxBounds=function(t){var e=this._map.getMaxBounds(),r=t.coords;return e&&(r.longitudee.getEast()||r.latitudee.getNorth())},n.prototype._setErrorState=function(){switch(this._watchState){case"WAITING_ACTIVE":this._watchState="ACTIVE_ERROR",this._geolocateButton.classList.remove("mapboxgl-ctrl-geolocate-active"),this._geolocateButton.classList.add("mapboxgl-ctrl-geolocate-active-error");break;case"ACTIVE_LOCK":this._watchState="ACTIVE_ERROR",this._geolocateButton.classList.remove("mapboxgl-ctrl-geolocate-active"),this._geolocateButton.classList.add("mapboxgl-ctrl-geolocate-active-error"),this._geolocateButton.classList.add("mapboxgl-ctrl-geolocate-waiting");break;case"BACKGROUND":this._watchState="BACKGROUND_ERROR",this._geolocateButton.classList.remove("mapboxgl-ctrl-geolocate-background"),this._geolocateButton.classList.add("mapboxgl-ctrl-geolocate-background-error"),this._geolocateButton.classList.add("mapboxgl-ctrl-geolocate-waiting")}},n.prototype._onSuccess=function(e){if(this._map){if(this._isOutOfMapMaxBounds(e))return this._setErrorState(),this.fire(new t.Event("outofmaxbounds",e)),this._updateMarker(),void this._finish();if(this.options.trackUserLocation)switch(this._lastKnownPosition=e,this._watchState){case"WAITING_ACTIVE":case"ACTIVE_LOCK":case"ACTIVE_ERROR":this._watchState="ACTIVE_LOCK",this._geolocateButton.classList.remove("mapboxgl-ctrl-geolocate-waiting"),this._geolocateButton.classList.remove("mapboxgl-ctrl-geolocate-active-error"),this._geolocateButton.classList.add("mapboxgl-ctrl-geolocate-active");break;case"BACKGROUND":case"BACKGROUND_ERROR":this._watchState="BACKGROUND",this._geolocateButton.classList.remove("mapboxgl-ctrl-geolocate-waiting"),this._geolocateButton.classList.remove("mapboxgl-ctrl-geolocate-background-error"),this._geolocateButton.classList.add("mapboxgl-ctrl-geolocate-background")}this.options.showUserLocation&&"OFF"!==this._watchState&&this._updateMarker(e),this.options.trackUserLocation&&"ACTIVE_LOCK"!==this._watchState||this._updateCamera(e),this.options.showUserLocation&&this._dotElement.classList.remove("mapboxgl-user-location-dot-stale"),this.fire(new t.Event("geolocate",e)),this._finish()}},n.prototype._updateCamera=function(e){var r=new t.LngLat(e.coords.longitude,e.coords.latitude),n=e.coords.accuracy,i=this._map.getBearing(),a=t.extend({bearing:i},this.options.fitBoundsOptions);this._map.fitBounds(r.toBounds(n),a,{geolocateSource:!0})},n.prototype._updateMarker=function(e){if(e){var r=new t.LngLat(e.coords.longitude,e.coords.latitude);this._accuracyCircleMarker.setLngLat(r).addTo(this._map),this._userLocationDotMarker.setLngLat(r).addTo(this._map),this._accuracy=e.coords.accuracy,this.options.showUserLocation&&this.options.showAccuracyCircle&&this._updateCircleRadius()}else this._userLocationDotMarker.remove(),this._accuracyCircleMarker.remove()},n.prototype._updateCircleRadius=function(){var t=this._map._container.clientHeight/2,e=this._map.unproject([0,t]),r=this._map.unproject([1,t]),n=e.distanceTo(r),i=Math.ceil(2*this._accuracy/n);this._circleElement.style.width=i+"px",this._circleElement.style.height=i+"px"},n.prototype._onZoom=function(){this.options.showUserLocation&&this.options.showAccuracyCircle&&this._updateCircleRadius()},n.prototype._onError=function(e){if(this._map){if(this.options.trackUserLocation)if(1===e.code){this._watchState="OFF",this._geolocateButton.classList.remove("mapboxgl-ctrl-geolocate-waiting"),this._geolocateButton.classList.remove("mapboxgl-ctrl-geolocate-active"),this._geolocateButton.classList.remove("mapboxgl-ctrl-geolocate-active-error"),this._geolocateButton.classList.remove("mapboxgl-ctrl-geolocate-background"),this._geolocateButton.classList.remove("mapboxgl-ctrl-geolocate-background-error"),this._geolocateButton.disabled=!0;var r=this._map._getUIString("GeolocateControl.LocationNotAvailable");this._geolocateButton.title=r,this._geolocateButton.setAttribute("aria-label",r),void 0!==this._geolocationWatchID&&this._clearWatch()}else{if(3===e.code&&Zi)return;this._setErrorState()}"OFF"!==this._watchState&&this.options.showUserLocation&&this._dotElement.classList.add("mapboxgl-user-location-dot-stale"),this.fire(new t.Event("error",e)),this._finish()}},n.prototype._finish=function(){this._timeoutId&&clearTimeout(this._timeoutId),this._timeoutId=void 0},n.prototype._setupUI=function(e){var n=this;if(this._container.addEventListener("contextmenu",(function(t){return t.preventDefault()})),this._geolocateButton=r.create("button","mapboxgl-ctrl-geolocate",this._container),r.create("span","mapboxgl-ctrl-icon",this._geolocateButton).setAttribute("aria-hidden",!0),this._geolocateButton.type="button",!1===e){t.warnOnce("Geolocation support is not available so the GeolocateControl will be disabled.");var i=this._map._getUIString("GeolocateControl.LocationNotAvailable");this._geolocateButton.disabled=!0,this._geolocateButton.title=i,this._geolocateButton.setAttribute("aria-label",i)}else{var a=this._map._getUIString("GeolocateControl.FindMyLocation");this._geolocateButton.title=a,this._geolocateButton.setAttribute("aria-label",a)}this.options.trackUserLocation&&(this._geolocateButton.setAttribute("aria-pressed","false"),this._watchState="OFF"),this.options.showUserLocation&&(this._dotElement=r.create("div","mapboxgl-user-location-dot"),this._userLocationDotMarker=new Wi(this._dotElement),this._circleElement=r.create("div","mapboxgl-user-location-accuracy-circle"),this._accuracyCircleMarker=new Wi({element:this._circleElement,pitchAlignment:"map"}),this.options.trackUserLocation&&(this._watchState="OFF"),this._map.on("zoom",this._onZoom)),this._geolocateButton.addEventListener("click",this.trigger.bind(this)),this._setup=!0,this.options.trackUserLocation&&this._map.on("movestart",(function(e){var r=e.originalEvent&&"resize"===e.originalEvent.type;e.geolocateSource||"ACTIVE_LOCK"!==n._watchState||r||(n._watchState="BACKGROUND",n._geolocateButton.classList.add("mapboxgl-ctrl-geolocate-background"),n._geolocateButton.classList.remove("mapboxgl-ctrl-geolocate-active"),n.fire(new t.Event("trackuserlocationend")))}))},n.prototype.trigger=function(){if(!this._setup)return t.warnOnce("Geolocate control triggered before added to a map"),!1;if(this.options.trackUserLocation){switch(this._watchState){case"OFF":this._watchState="WAITING_ACTIVE",this.fire(new t.Event("trackuserlocationstart"));break;case"WAITING_ACTIVE":case"ACTIVE_LOCK":case"ACTIVE_ERROR":case"BACKGROUND_ERROR":Xi--,Zi=!1,this._watchState="OFF",this._geolocateButton.classList.remove("mapboxgl-ctrl-geolocate-waiting"),this._geolocateButton.classList.remove("mapboxgl-ctrl-geolocate-active"),this._geolocateButton.classList.remove("mapboxgl-ctrl-geolocate-active-error"),this._geolocateButton.classList.remove("mapboxgl-ctrl-geolocate-background"),this._geolocateButton.classList.remove("mapboxgl-ctrl-geolocate-background-error"),this.fire(new t.Event("trackuserlocationend"));break;case"BACKGROUND":this._watchState="ACTIVE_LOCK",this._geolocateButton.classList.remove("mapboxgl-ctrl-geolocate-background"),this._lastKnownPosition&&this._updateCamera(this._lastKnownPosition),this.fire(new t.Event("trackuserlocationstart"))}switch(this._watchState){case"WAITING_ACTIVE":this._geolocateButton.classList.add("mapboxgl-ctrl-geolocate-waiting"),this._geolocateButton.classList.add("mapboxgl-ctrl-geolocate-active");break;case"ACTIVE_LOCK":this._geolocateButton.classList.add("mapboxgl-ctrl-geolocate-active");break;case"ACTIVE_ERROR":this._geolocateButton.classList.add("mapboxgl-ctrl-geolocate-waiting"),this._geolocateButton.classList.add("mapboxgl-ctrl-geolocate-active-error");break;case"BACKGROUND":this._geolocateButton.classList.add("mapboxgl-ctrl-geolocate-background");break;case"BACKGROUND_ERROR":this._geolocateButton.classList.add("mapboxgl-ctrl-geolocate-waiting"),this._geolocateButton.classList.add("mapboxgl-ctrl-geolocate-background-error")}if("OFF"===this._watchState&&void 0!==this._geolocationWatchID)this._clearWatch();else if(void 0===this._geolocationWatchID){var e;this._geolocateButton.classList.add("mapboxgl-ctrl-geolocate-waiting"),this._geolocateButton.setAttribute("aria-pressed","true"),++Xi>1?(e={maximumAge:6e5,timeout:0},Zi=!0):(e=this.options.positionOptions,Zi=!1),this._geolocationWatchID=t.window.navigator.geolocation.watchPosition(this._onSuccess,this._onError,e)}}else t.window.navigator.geolocation.getCurrentPosition(this._onSuccess,this._onError,this.options.positionOptions),this._timeoutId=setTimeout(this._finish,1e4);return!0},n.prototype._clearWatch=function(){t.window.navigator.geolocation.clearWatch(this._geolocationWatchID),this._geolocationWatchID=void 0,this._geolocateButton.classList.remove("mapboxgl-ctrl-geolocate-waiting"),this._geolocateButton.setAttribute("aria-pressed","false"),this.options.showUserLocation&&this._updateMarker(null)},n}(t.Evented),Ji={maxWidth:100,unit:"metric"},$i=function(e){this.options=t.extend({},Ji,e),t.bindAll(["_onMove","setUnit"],this)};function Qi(t,e,r){var n=r&&r.maxWidth||100,i=t._container.clientHeight/2,a=t.unproject([0,i]),o=t.unproject([n,i]),s=a.distanceTo(o);if(r&&"imperial"===r.unit){var l=3.2808*s;l>5280?ta(e,n,l/5280,t._getUIString("ScaleControl.Miles")):ta(e,n,l,t._getUIString("ScaleControl.Feet"))}else r&&"nautical"===r.unit?ta(e,n,s/1852,t._getUIString("ScaleControl.NauticalMiles")):s>=1e3?ta(e,n,s/1e3,t._getUIString("ScaleControl.Kilometers")):ta(e,n,s,t._getUIString("ScaleControl.Meters"))}function ta(t,e,r,n){var i,a,o,s=(i=r,(a=Math.pow(10,(""+Math.floor(i)).length-1))*((o=i/a)>=10?10:o>=5?5:o>=3?3:o>=2?2:o>=1?1:function(t){var e=Math.pow(10,Math.ceil(-Math.log(t)/Math.LN10));return Math.round(t*e)/e}(o))),l=s/r;t.style.width=e*l+"px",t.innerHTML=s+" "+n}$i.prototype.getDefaultPosition=function(){return"bottom-left"},$i.prototype._onMove=function(){Qi(this._map,this._container,this.options)},$i.prototype.onAdd=function(t){return this._map=t,this._container=r.create("div","mapboxgl-ctrl mapboxgl-ctrl-scale",t.getContainer()),this._map.on("move",this._onMove),this._onMove(),this._container},$i.prototype.onRemove=function(){r.remove(this._container),this._map.off("move",this._onMove),this._map=void 0},$i.prototype.setUnit=function(t){this.options.unit=t,Qi(this._map,this._container,this.options)};var ea=function(e){this._fullscreen=!1,e&&e.container&&(e.container instanceof t.window.HTMLElement?this._container=e.container:t.warnOnce("Full screen control 'container' must be a DOM element.")),t.bindAll(["_onClickFullscreen","_changeIcon"],this),"onfullscreenchange"in t.window.document?this._fullscreenchange="fullscreenchange":"onmozfullscreenchange"in t.window.document?this._fullscreenchange="mozfullscreenchange":"onwebkitfullscreenchange"in t.window.document?this._fullscreenchange="webkitfullscreenchange":"onmsfullscreenchange"in t.window.document&&(this._fullscreenchange="MSFullscreenChange")};ea.prototype.onAdd=function(e){return this._map=e,this._container||(this._container=this._map.getContainer()),this._controlContainer=r.create("div","mapboxgl-ctrl mapboxgl-ctrl-group"),this._checkFullscreenSupport()?this._setupUI():(this._controlContainer.style.display="none",t.warnOnce("This device does not support fullscreen mode.")),this._controlContainer},ea.prototype.onRemove=function(){r.remove(this._controlContainer),this._map=null,t.window.document.removeEventListener(this._fullscreenchange,this._changeIcon)},ea.prototype._checkFullscreenSupport=function(){return!!(t.window.document.fullscreenEnabled||t.window.document.mozFullScreenEnabled||t.window.document.msFullscreenEnabled||t.window.document.webkitFullscreenEnabled)},ea.prototype._setupUI=function(){var e=this._fullscreenButton=r.create("button","mapboxgl-ctrl-fullscreen",this._controlContainer);r.create("span","mapboxgl-ctrl-icon",e).setAttribute("aria-hidden",!0),e.type="button",this._updateTitle(),this._fullscreenButton.addEventListener("click",this._onClickFullscreen),t.window.document.addEventListener(this._fullscreenchange,this._changeIcon)},ea.prototype._updateTitle=function(){var t=this._getTitle();this._fullscreenButton.setAttribute("aria-label",t),this._fullscreenButton.title=t},ea.prototype._getTitle=function(){return this._map._getUIString(this._isFullscreen()?"FullscreenControl.Exit":"FullscreenControl.Enter")},ea.prototype._isFullscreen=function(){return this._fullscreen},ea.prototype._changeIcon=function(){(t.window.document.fullscreenElement||t.window.document.mozFullScreenElement||t.window.document.webkitFullscreenElement||t.window.document.msFullscreenElement)===this._container!==this._fullscreen&&(this._fullscreen=!this._fullscreen,this._fullscreenButton.classList.toggle("mapboxgl-ctrl-shrink"),this._fullscreenButton.classList.toggle("mapboxgl-ctrl-fullscreen"),this._updateTitle())},ea.prototype._onClickFullscreen=function(){this._isFullscreen()?t.window.document.exitFullscreen?t.window.document.exitFullscreen():t.window.document.mozCancelFullScreen?t.window.document.mozCancelFullScreen():t.window.document.msExitFullscreen?t.window.document.msExitFullscreen():t.window.document.webkitCancelFullScreen&&t.window.document.webkitCancelFullScreen():this._container.requestFullscreen?this._container.requestFullscreen():this._container.mozRequestFullScreen?this._container.mozRequestFullScreen():this._container.msRequestFullscreen?this._container.msRequestFullscreen():this._container.webkitRequestFullscreen&&this._container.webkitRequestFullscreen()};var ra={closeButton:!0,closeOnClick:!0,focusAfterOpen:!0,className:"",maxWidth:"240px"},na=["a[href]","[tabindex]:not([tabindex='-1'])","[contenteditable]:not([contenteditable='false'])","button:not([disabled])","input:not([disabled])","select:not([disabled])","textarea:not([disabled])"].join(", "),ia=function(e){function n(r){e.call(this),this.options=t.extend(Object.create(ra),r),t.bindAll(["_update","_onClose","remove","_onMouseMove","_onMouseUp","_onDrag"],this)}return e&&(n.__proto__=e),n.prototype=Object.create(e&&e.prototype),n.prototype.constructor=n,n.prototype.addTo=function(e){return this._map&&this.remove(),this._map=e,this.options.closeOnClick&&this._map.on("click",this._onClose),this.options.closeOnMove&&this._map.on("move",this._onClose),this._map.on("remove",this.remove),this._update(),this._focusFirstElement(),this._trackPointer?(this._map.on("mousemove",this._onMouseMove),this._map.on("mouseup",this._onMouseUp),this._container&&this._container.classList.add("mapboxgl-popup-track-pointer"),this._map._canvasContainer.classList.add("mapboxgl-track-pointer")):this._map.on("move",this._update),this.fire(new t.Event("open")),this},n.prototype.isOpen=function(){return!!this._map},n.prototype.remove=function(){return this._content&&r.remove(this._content),this._container&&(r.remove(this._container),delete this._container),this._map&&(this._map.off("move",this._update),this._map.off("move",this._onClose),this._map.off("click",this._onClose),this._map.off("remove",this.remove),this._map.off("mousemove",this._onMouseMove),this._map.off("mouseup",this._onMouseUp),this._map.off("drag",this._onDrag),delete this._map),this.fire(new t.Event("close")),this},n.prototype.getLngLat=function(){return this._lngLat},n.prototype.setLngLat=function(e){return this._lngLat=t.LngLat.convert(e),this._pos=null,this._trackPointer=!1,this._update(),this._map&&(this._map.on("move",this._update),this._map.off("mousemove",this._onMouseMove),this._container&&this._container.classList.remove("mapboxgl-popup-track-pointer"),this._map._canvasContainer.classList.remove("mapboxgl-track-pointer")),this},n.prototype.trackPointer=function(){return this._trackPointer=!0,this._pos=null,this._update(),this._map&&(this._map.off("move",this._update),this._map.on("mousemove",this._onMouseMove),this._map.on("drag",this._onDrag),this._container&&this._container.classList.add("mapboxgl-popup-track-pointer"),this._map._canvasContainer.classList.add("mapboxgl-track-pointer")),this},n.prototype.getElement=function(){return this._container},n.prototype.setText=function(e){return this.setDOMContent(t.window.document.createTextNode(e))},n.prototype.setHTML=function(e){var r,n=t.window.document.createDocumentFragment(),i=t.window.document.createElement("body");for(i.innerHTML=e;r=i.firstChild;)n.appendChild(r);return this.setDOMContent(n)},n.prototype.getMaxWidth=function(){return this._container&&this._container.style.maxWidth},n.prototype.setMaxWidth=function(t){return this.options.maxWidth=t,this._update(),this},n.prototype.setDOMContent=function(t){if(this._content)for(;this._content.hasChildNodes();)this._content.firstChild&&this._content.removeChild(this._content.firstChild);else this._content=r.create("div","mapboxgl-popup-content",this._container);return this._content.appendChild(t),this._createCloseButton(),this._update(),this._focusFirstElement(),this},n.prototype.addClassName=function(t){this._container&&this._container.classList.add(t)},n.prototype.removeClassName=function(t){this._container&&this._container.classList.remove(t)},n.prototype.setOffset=function(t){return this.options.offset=t,this._update(),this},n.prototype.toggleClassName=function(t){if(this._container)return this._container.classList.toggle(t)},n.prototype._createCloseButton=function(){this.options.closeButton&&(this._closeButton=r.create("button","mapboxgl-popup-close-button",this._content),this._closeButton.type="button",this._closeButton.setAttribute("aria-label","Close popup"),this._closeButton.innerHTML="×",this._closeButton.addEventListener("click",this._onClose))},n.prototype._onMouseUp=function(t){this._update(t.point)},n.prototype._onMouseMove=function(t){this._update(t.point)},n.prototype._onDrag=function(t){this._update(t.point)},n.prototype._update=function(t){var e=this,n=this._lngLat||this._trackPointer;if(this._map&&n&&this._content&&(this._container||(this._container=r.create("div","mapboxgl-popup",this._map.getContainer()),this._tip=r.create("div","mapboxgl-popup-tip",this._container),this._container.appendChild(this._content),this.options.className&&this.options.className.split(" ").forEach((function(t){return e._container.classList.add(t)})),this._trackPointer&&this._container.classList.add("mapboxgl-popup-track-pointer")),this.options.maxWidth&&this._container.style.maxWidth!==this.options.maxWidth&&(this._container.style.maxWidth=this.options.maxWidth),this._map.transform.renderWorldCopies&&!this._trackPointer&&(this._lngLat=Vi(this._lngLat,this._pos,this._map.transform)),!this._trackPointer||t)){var i=this._pos=this._trackPointer&&t?t:this._map.project(this._lngLat),a=this.options.anchor,o=aa(this.options.offset);if(!a){var s,l=this._container.offsetWidth,u=this._container.offsetHeight;s=i.y+o.bottom.ythis._map.transform.height-u?["bottom"]:[],i.xthis._map.transform.width-l/2&&s.push("right"),a=0===s.length?"bottom":s.join("-")}var c=i.add(o[a]).round();r.setTransform(this._container,qi[a]+" translate("+c.x+"px,"+c.y+"px)"),Hi(this._container,a,"popup")}},n.prototype._focusFirstElement=function(){if(this.options.focusAfterOpen&&this._container){var t=this._container.querySelector(na);t&&t.focus()}},n.prototype._onClose=function(){this.remove()},n}(t.Evented);function aa(e){if(e){if("number"==typeof e){var r=Math.round(Math.sqrt(.5*Math.pow(e,2)));return{center:new t.Point(0,0),top:new t.Point(0,e),"top-left":new t.Point(r,r),"top-right":new t.Point(-r,r),bottom:new t.Point(0,-e),"bottom-left":new t.Point(r,-r),"bottom-right":new t.Point(-r,-r),left:new t.Point(e,0),right:new t.Point(-e,0)}}if(e instanceof t.Point||Array.isArray(e)){var n=t.Point.convert(e);return{center:n,top:n,"top-left":n,"top-right":n,bottom:n,"bottom-left":n,"bottom-right":n,left:n,right:n}}return{center:t.Point.convert(e.center||[0,0]),top:t.Point.convert(e.top||[0,0]),"top-left":t.Point.convert(e["top-left"]||[0,0]),"top-right":t.Point.convert(e["top-right"]||[0,0]),bottom:t.Point.convert(e.bottom||[0,0]),"bottom-left":t.Point.convert(e["bottom-left"]||[0,0]),"bottom-right":t.Point.convert(e["bottom-right"]||[0,0]),left:t.Point.convert(e.left||[0,0]),right:t.Point.convert(e.right||[0,0])}}return aa(new t.Point(0,0))}var oa={version:t.version,supported:e,setRTLTextPlugin:t.setRTLTextPlugin,getRTLTextPluginStatus:t.getRTLTextPluginStatus,Map:Fi,NavigationControl:ji,GeolocateControl:Ki,AttributionControl:Ei,ScaleControl:$i,FullscreenControl:ea,Popup:ia,Marker:Wi,Style:Ye,LngLat:t.LngLat,LngLatBounds:t.LngLatBounds,Point:t.Point,MercatorCoordinate:t.MercatorCoordinate,Evented:t.Evented,config:t.config,prewarm:function(){jt().acquire(Rt)},clearPrewarmedResources:function(){var t=Bt;t&&(t.isPreloaded()&&1===t.numActive()?(t.release(Rt),Bt=null):console.warn("Could not clear WebWorkers since there are active Map instances that still reference it. The pre-warmed WebWorker pool can only be cleared when all map instances have been removed with map.remove()"))},get accessToken(){return t.config.ACCESS_TOKEN},set accessToken(e){t.config.ACCESS_TOKEN=e},get baseApiUrl(){return t.config.API_URL},set baseApiUrl(e){t.config.API_URL=e},get workerCount(){return Ft.workerCount},set workerCount(t){Ft.workerCount=t},get maxParallelImageRequests(){return t.config.MAX_PARALLEL_IMAGE_REQUESTS},set maxParallelImageRequests(e){t.config.MAX_PARALLEL_IMAGE_REQUESTS=e},clearStorage:function(e){t.clearTileCache(e)},workerUrl:""};return oa})),r}()},3108:function(t,e,r){"use strict";t.exports=r(26099)},26099:function(t,e,r){"use strict";var n=r(64928),i=r(32420),a=r(51160),o=r(76752),s=r(55616),l=r(31264),u=r(47520),c=r(18400),f=r(72512),h=r(76244);function p(t,e){for(var r=e[0],n=e[1],a=1/(e[2]-r),o=1/(e[3]-n),s=new Array(t.length),l=0,u=t.length/2;l>>1;e.dtype||(e.dtype="array"),"string"==typeof e.dtype?d=new(f(e.dtype))(g):e.dtype&&(d=e.dtype,Array.isArray(d)&&(d.length=g));for(var y=0;yr||s>1073741824){for(var h=0;hr+i||M>n+i||S=C||o===s)){var l=m[a];void 0===s&&(s=l.length);for(var u=o;u=g&&f<=w&&h>=y&&h<=T&&P.push(c)}var p=x[a],d=p[4*o+0],v=p[4*o+1],b=p[4*o+2],_=p[4*o+3],k=function(t,e){for(var r=null,n=0;null===r;)if(r=t[4*e+n],++n>t.length)return null;return r}(p,o+1),E=.5*i,O=a+1;e(r,n,E,O,d,v||b||_||k),e(r,n+E,E,O,v,b||_||k),e(r+E,n,E,O,b,_||k),e(r+E,n+E,E,O,_,k)}}(0,0,1,0,0,1),P},d;function E(t,e,r){for(var n=1,i=.5,a=.5,o=.5,s=0;s0){e+=Math.abs(o(t[0]));for(var r=1;r2){for(l=0;l=0))throw new Error("precision must be a positive number");var r=Math.pow(10,e||0);return Math.round(t*r)/r},e.radiansToLength=c,e.lengthToRadians=f,e.lengthToDegrees=function(t,e){return h(f(t,e))},e.bearingToAzimuth=function(t){var e=t%360;return e<0&&(e+=360),e},e.radiansToDegrees=h,e.degreesToRadians=function(t){return t%360*Math.PI/180},e.convertLength=function(t,e,r){if(void 0===e&&(e="kilometers"),void 0===r&&(r="kilometers"),!(t>=0))throw new Error("length must be a positive number");return c(f(t,e),r)},e.convertArea=function(t,r,n){if(void 0===r&&(r="meters"),void 0===n&&(n="kilometers"),!(t>=0))throw new Error("area must be a positive number");var i=e.areaFactors[r];if(!i)throw new Error("invalid original units");var a=e.areaFactors[n];if(!a)throw new Error("invalid final units");return t/i*a},e.isNumber=p,e.isObject=function(t){return!!t&&t.constructor===Object},e.validateBBox=function(t){if(!t)throw new Error("bbox is required");if(!Array.isArray(t))throw new Error("bbox must be an Array");if(4!==t.length&&6!==t.length)throw new Error("bbox must be an Array of 4 or 6 numbers");t.forEach((function(t){if(!p(t))throw new Error("bbox must only contain numbers")}))},e.validateId=function(t){if(!t)throw new Error("id is required");if(-1===["string","number"].indexOf(typeof t))throw new Error("id must be a number or a string")}},3256:function(t,e,r){"use 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n=r(50896);function i(){this.regionalOptions=[],this.regionalOptions[""]={invalidCalendar:"Calendar {0} not found",invalidDate:"Invalid {0} date",invalidMonth:"Invalid {0} month",invalidYear:"Invalid {0} year",differentCalendars:"Cannot mix {0} and {1} dates"},this.local=this.regionalOptions[""],this.calendars={},this._localCals={}}function a(t,e,r,n){if(this._calendar=t,this._year=e,this._month=r,this._day=n,0===this._calendar._validateLevel&&!this._calendar.isValid(this._year,this._month,this._day))throw(u.local.invalidDate||u.regionalOptions[""].invalidDate).replace(/\{0\}/,this._calendar.local.name)}function o(t,e){return"000000".substring(0,e-(t=""+t).length)+t}function s(){this.shortYearCutoff="+10"}function l(t){this.local=this.regionalOptions[t]||this.regionalOptions[""]}n(i.prototype,{instance:function(t,e){t=(t||"gregorian").toLowerCase(),e=e||"";var r=this._localCals[t+"-"+e];if(!r&&this.calendars[t]&&(r=new 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0===arguments.length?this._day:this.set(t,"d")},date:function(t,e,r){if(!this._calendar.isValid(t,e,r))throw(u.local.invalidDate||u.regionalOptions[""].invalidDate).replace(/\{0\}/,this._calendar.local.name);return this._year=t,this._month=e,this._day=r,this},leapYear:function(){return this._calendar.leapYear(this)},epoch:function(){return this._calendar.epoch(this)},formatYear:function(){return this._calendar.formatYear(this)},monthOfYear:function(){return this._calendar.monthOfYear(this)},weekOfYear:function(){return this._calendar.weekOfYear(this)},daysInYear:function(){return this._calendar.daysInYear(this)},dayOfYear:function(){return this._calendar.dayOfYear(this)},daysInMonth:function(){return this._calendar.daysInMonth(this)},dayOfWeek:function(){return this._calendar.dayOfWeek(this)},weekDay:function(){return this._calendar.weekDay(this)},extraInfo:function(){return this._calendar.extraInfo(this)},add:function(t,e){return this._calendar.add(this,t,e)},set:function(t,e){return this._calendar.set(this,t,e)},compareTo:function(t){if(this._calendar.name!==t._calendar.name)throw(u.local.differentCalendars||u.regionalOptions[""].differentCalendars).replace(/\{0\}/,this._calendar.local.name).replace(/\{1\}/,t._calendar.local.name);var e=this._year!==t._year?this._year-t._year:this._month!==t._month?this.monthOfYear()-t.monthOfYear():this._day-t._day;return 0===e?0:e<0?-1:1},calendar:function(){return this._calendar},toJD:function(){return this._calendar.toJD(this)},fromJD:function(t){return this._calendar.fromJD(t)},toJSDate:function(){return this._calendar.toJSDate(this)},fromJSDate:function(t){return this._calendar.fromJSDate(t)},toString:function(){return(this.year()<0?"-":"")+o(Math.abs(this.year()),4)+"-"+o(this.month(),2)+"-"+o(this.day(),2)}}),n(s.prototype,{_validateLevel:0,newDate:function(t,e,r){return null==t?this.today():(t.year&&(this._validate(t,e,r,u.local.invalidDate||u.regionalOptions[""].invalidDate),r=t.day(),e=t.month(),t=t.year()),new a(this,t,e,r))},today:function(){return this.fromJSDate(new Date)},epoch:function(t){return this._validate(t,this.minMonth,this.minDay,u.local.invalidYear||u.regionalOptions[""].invalidYear).year()<0?this.local.epochs[0]:this.local.epochs[1]},formatYear:function(t){var e=this._validate(t,this.minMonth,this.minDay,u.local.invalidYear||u.regionalOptions[""].invalidYear);return(e.year()<0?"-":"")+o(Math.abs(e.year()),4)},monthsInYear:function(t){return this._validate(t,this.minMonth,this.minDay,u.local.invalidYear||u.regionalOptions[""].invalidYear),12},monthOfYear:function(t,e){var r=this._validate(t,e,this.minDay,u.local.invalidMonth||u.regionalOptions[""].invalidMonth);return(r.month()+this.monthsInYear(r)-this.firstMonth)%this.monthsInYear(r)+this.minMonth},fromMonthOfYear:function(t,e){var r=(e+this.firstMonth-2*this.minMonth)%this.monthsInYear(t)+this.minMonth;return 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0!==_&&Math.min(c,_)-Math.max(u,b)>1&&("left"===i.side?(s=i._mainLinePosition,l=r.width):l=i._mainLinePosition):void 0!==m&&void 0!==x&&Math.min(c,x)-Math.max(u,m)>1&&("top"===i.side?(s=i._mainLinePosition,l=r.height):l=i._mainLinePosition)}g[y++]=[{datum:t,traceIndex:t.trace.index,dp:0,pos:t.pos,posref:t.posref,size:t.by*(a?T:1)/2,pmin:s,pmax:l}]})),g.sort((function(t,e){return t[0].posref-e[0].posref||d*(e[0].traceIndex-t[0].traceIndex)}));!i&&p<=v;){for(p++,i=!0,s=0;s.01&&L.pmin===C.pmin&&L.pmax===C.pmax){for(l=E.length-1;l>=0;l--)E[l].dp+=a;for(S.push.apply(S,E),g.splice(s+1,1),c=0,l=S.length-1;l>=0;l--)c+=S[l].dp;for(o=c/S.length,l=S.length-1;l>=0;l--)S[l].dp-=o;i=!1}else s++}g.forEach(A)}for(s=g.length-1;s>=0;s--){var P=g[s];for(l=P.length-1;l>=0;l--){var O=P[l],I=O.datum;I.offset=O.dp,I.del=O.del}}}(Zt,Wt,c,Xt.commonLabelBoundingBox),z(Zt,Wt,c._invScaleX,c._invScaleY)),s&&s.tagName){var Kt=g.getComponentMethod("annotations","hasClickToShow")(t,Ot);f(n.select(s),Kt?"pointer":"")}s&&!a&&function(t,e,r){if(!r||r.length!==t._hoverdata.length)return!0;for(var n=r.length-1;n>=0;n--){var i=r[n],a=t._hoverdata[n];if(i.curveNumber!==a.curveNumber||String(i.pointNumber)!==String(a.pointNumber)||String(i.pointNumbers)!==String(a.pointNumbers))return!0}return!1}(t,0,Pt)&&(Pt&&t.emit("plotly_unhover",{event:e,points:Pt}),t.emit("plotly_hover",{event:e,points:t._hoverdata,xaxes:_,yaxes:w,xvals:H,yvals:G}))}(t,e,r,a,s)}))},e.loneHover=function(t,e){var r=!0;Array.isArray(t)||(r=!1,t=[t]);var i=e.gd,a=U(i),o=V(i),s=O(t.map((function(t){var r=t._x0||t.x0||t.x||0,n=t._x1||t.x1||t.x||0,s=t._y0||t.y0||t.y||0,l=t._y1||t.y1||t.y||0,u=t.eventData;if(u){var c=Math.min(r,n),f=Math.max(r,n),h=Math.min(s,l),d=Math.max(s,l),v=t.trace;if(g.traceIs(v,"gl3d")){var y=i._fullLayout[v.scene]._scene.container,m=y.offsetLeft,x=y.offsetTop;c+=m,f+=m,h+=x,d+=x}u.bbox={x0:c+o,x1:f+o,y0:h+a,y1:d+a},e.inOut_bbox&&e.inOut_bbox.push(u.bbox)}else u=!1;return{color:t.color||p.defaultLine,x0:t.x0||t.x||0,x1:t.x1||t.x||0,y0:t.y0||t.y||0,y1:t.y1||t.y||0,xLabel:t.xLabel,yLabel:t.yLabel,zLabel:t.zLabel,text:t.text,name:t.name,idealAlign:t.idealAlign,borderColor:t.borderColor,fontFamily:t.fontFamily,fontSize:t.fontSize,fontColor:t.fontColor,nameLength:t.nameLength,textAlign:t.textAlign,trace:t.trace||{index:0,hoverinfo:""},xa:{_offset:0},ya:{_offset:0},index:0,hovertemplate:t.hovertemplate||!1,hovertemplateLabels:t.hovertemplateLabels||!1,eventData:u}})),{gd:i,hovermode:"closest",rotateLabels:!1,bgColor:e.bgColor||p.background,container:n.select(e.container),outerContainer:e.outerContainer||e.container}).hoverLabels,l=0,u=0;return s.sort((function(t,e){return t.y0-e.y0})).each((function(t,r){var n=t.y0-t.by/2;t.offset=n-5([\s\S]*)<\/extra>/;function O(t,e){var r=e.gd,i=r._fullLayout,a=e.hovermode,u=e.rotateLabels,f=e.bgColor,d=e.container,v=e.outerContainer,w=e.commonLabelOpts||{};if(0===t.length)return[[]];var T=e.fontFamily||m.HOVERFONT,k=e.fontSize||m.HOVERFONTSIZE,A=t[0],E=A.xa,L=A.ya,P=a.charAt(0),O=P+"Label",D=A[O];if(void 0===D&&"multicategory"===E.type)for(var z=0;zi.width-b?(g=i.width-b,e.attr("d","M"+(b-M)+",0L"+b+","+x+M+"v"+x+(2*S+m.height)+"H-"+b+"V"+x+M+"H"+(b-2*M)+"Z")):e.attr("d","M0,0L"+M+","+x+M+"H"+b+"v"+x+(2*S+m.height)+"H-"+b+"V"+x+M+"H-"+M+"Z"),Y.minX=g-b,Y.maxX=g+b,"top"===E.side?(Y.minY=y-(2*S+m.height),Y.maxY=y-S):(Y.minY=y+S,Y.maxY=y+(2*S+m.height))}else{var _,C,P;"right"===L.side?(_="start",C=1,P="",g=E._offset+E._length):(_="end",C=-1,P="-",g=E._offset),y=L._offset+(A.y0+A.y1)/2,l.attr("text-anchor",_),e.attr("d","M0,0L"+P+M+","+M+"V"+(S+m.height/2)+"h"+P+(2*S+m.width)+"V-"+(S+m.height/2)+"H"+P+M+"V-"+M+"Z"),Y.minY=y-(S+m.height/2),Y.maxY=y+(S+m.height/2),"right"===L.side?(Y.minX=g+M,Y.maxX=g+M+(2*S+m.width)):(Y.minX=g-M-(2*S+m.width),Y.maxX=g-M);var O,I=m.height/2,z=F-m.top-I,R="clip"+i._uid+"commonlabel"+L._id;if(g=0?lt:ut+ht=0?ut:bt+ht=0?ot:st+pt=0?st:_t+pt=0,"top"!==t.idealAlign&&G||!W?G?(O+=R/2,t.anchor="start"):t.anchor="middle":(O-=R/2,t.anchor="end"),t.crossPos=O;else{if(t.pos=O,G=P+z/2+Y<=B,W=P-z/2-Y>=0,"left"!==t.idealAlign&&G||!W)if(G)P+=z/2,t.anchor="start";else{t.anchor="middle";var X=Y/2,Z=P+X-B,K=P-X;Z>0&&(P-=Z),K<0&&(P+=-K)}else P-=z/2,t.anchor="end";t.crossPos=P}w.attr("text-anchor",t.anchor),E&&A.attr("text-anchor",t.anchor),e.attr("transform",s(P,O)+(u?l(_):""))})),{hoverLabels:wt,commonLabelBoundingBox:Y}}function I(t,e,r,n,i,a){var s="",l="";void 0!==t.nameOverride&&(t.name=t.nameOverride),t.name&&(t.trace._meta&&(t.name=o.templateString(t.name,t.trace._meta)),s=N(t.name,t.nameLength));var u=r.charAt(0),c="x"===u?"y":"x";void 0!==t.zLabel?(void 0!==t.xLabel&&(l+="x: "+t.xLabel+"
"),void 0!==t.yLabel&&(l+="y: "+t.yLabel+"
"),"choropleth"!==t.trace.type&&"choroplethmapbox"!==t.trace.type&&(l+=(l?"z: ":"")+t.zLabel)):e&&t[u+"Label"]===i?l=t[c+"Label"]||"":void 0===t.xLabel?void 0!==t.yLabel&&"scattercarpet"!==t.trace.type&&(l=t.yLabel):l=void 0===t.yLabel?t.xLabel:"("+t.xLabel+", "+t.yLabel+")",!t.text&&0!==t.text||Array.isArray(t.text)||(l+=(l?"
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i,s,l,u,f=r.select("text.nums"),p=t.anchor,d="end"===p?-1:1,v=(u=(l=(s={start:1,end:-1,middle:0}[(i=t).anchor])*(M+S))+s*(i.txwidth+S),"middle"===i.anchor&&(l-=i.tx2width/2,u+=i.txwidth/2+S),{alignShift:s,textShiftX:l,text2ShiftX:u}),g=D(t,e),y=g.x,m=g.y,x="middle"===p;r.select("path").attr("d",x?"M-"+a(t.bx/2+t.tx2width/2)+","+o(m-t.by/2)+"h"+a(t.bx)+"v"+o(t.by)+"h-"+a(t.bx)+"Z":"M0,0L"+a(d*M+y)+","+o(M+m)+"v"+o(t.by/2-M)+"h"+a(d*t.bx)+"v-"+o(t.by)+"H"+a(d*M+y)+"V"+o(m-M)+"Z");var b=y+v.textShiftX,_=m+t.ty0-t.by/2+S,w=t.textAlign||"auto";"auto"!==w&&("left"===w&&"start"!==p?(f.attr("text-anchor","start"),b=x?-t.bx/2-t.tx2width/2+S:-t.bx-S):"right"===w&&"end"!==p&&(f.attr("text-anchor","end"),b=x?t.bx/2-t.tx2width/2-S:t.bx+S)),f.call(c.positionText,a(b),o(_)),t.tx2width&&(r.select("text.name").call(c.positionText,a(v.text2ShiftX+v.alignShift*S+y),o(m+t.ty0-t.by/2+S)),r.select("rect").call(h.setRect,a(v.text2ShiftX+(v.alignShift-1)*t.tx2width/2+y),o(m-t.by/2-1),a(t.tx2width),o(t.by+2)))}))}function R(t,e){var r=t.index,n=t.trace||{},a=t.cd[0],s=t.cd[r]||{};function l(t){return t||i(t)&&0===t}var u=Array.isArray(r)?function(t,e){var i=o.castOption(a,r,t);return l(i)?i:o.extractOption({},n,"",e)}:function(t,e){return o.extractOption(s,n,t,e)};function c(e,r,n){var i=u(r,n);l(i)&&(t[e]=i)}if(c("hoverinfo","hi","hoverinfo"),c("bgcolor","hbg","hoverlabel.bgcolor"),c("borderColor","hbc","hoverlabel.bordercolor"),c("fontFamily","htf","hoverlabel.font.family"),c("fontSize","hts","hoverlabel.font.size"),c("fontColor","htc","hoverlabel.font.color"),c("nameLength","hnl","hoverlabel.namelength"),c("textAlign","hta","hoverlabel.align"),t.posref="y"===e||"closest"===e&&"h"===n.orientation?t.xa._offset+(t.x0+t.x1)/2:t.ya._offset+(t.y0+t.y1)/2,t.x0=o.constrain(t.x0,0,t.xa._length),t.x1=o.constrain(t.x1,0,t.xa._length),t.y0=o.constrain(t.y0,0,t.ya._length),t.y1=o.constrain(t.y1,0,t.ya._length),void 0!==t.xLabelVal&&(t.xLabel="xLabel"in t?t.xLabel:v.hoverLabelText(t.xa,t.xLabelVal,n.xhoverformat),t.xVal=t.xa.c2d(t.xLabelVal)),void 0!==t.yLabelVal&&(t.yLabel="yLabel"in t?t.yLabel:v.hoverLabelText(t.ya,t.yLabelVal,n.yhoverformat),t.yVal=t.ya.c2d(t.yLabelVal)),void 0!==t.zLabelVal&&void 0===t.zLabel&&(t.zLabel=String(t.zLabelVal)),!(isNaN(t.xerr)||"log"===t.xa.type&&t.xerr<=0)){var f=v.tickText(t.xa,t.xa.c2l(t.xerr),"hover").text;void 0!==t.xerrneg?t.xLabel+=" +"+f+" / -"+v.tickText(t.xa,t.xa.c2l(t.xerrneg),"hover").text:t.xLabel+=" ± "+f,"x"===e&&(t.distance+=1)}if(!(isNaN(t.yerr)||"log"===t.ya.type&&t.yerr<=0)){var h=v.tickText(t.ya,t.ya.c2l(t.yerr),"hover").text;void 0!==t.yerrneg?t.yLabel+=" +"+h+" / -"+v.tickText(t.ya,t.ya.c2l(t.yerrneg),"hover").text:t.yLabel+=" ± "+h,"y"===e&&(t.distance+=1)}var p=t.hoverinfo||t.trace.hoverinfo;return p&&"all"!==p&&(-1===(p=Array.isArray(p)?p:p.split("+")).indexOf("x")&&(t.xLabel=void 0),-1===p.indexOf("y")&&(t.yLabel=void 0),-1===p.indexOf("z")&&(t.zLabel=void 0),-1===p.indexOf("text")&&(t.text=void 0),-1===p.indexOf("name")&&(t.name=void 0)),t}function F(t,e,r){var n,i,o=r.container,s=r.fullLayout,l=s._size,u=r.event,c=!!e.hLinePoint,f=!!e.vLinePoint;if(o.selectAll(".spikeline").remove(),f||c){var d=p.combine(s.plot_bgcolor,s.paper_bgcolor);if(c){var g,y,m=e.hLinePoint;n=m&&m.xa,"cursor"===(i=m&&m.ya).spikesnap?(g=u.pointerX,y=u.pointerY):(g=n._offset+m.x,y=i._offset+m.y);var x,b,_=a.readability(m.color,d)<1.5?p.contrast(d):m.color,w=i.spikemode,T=i.spikethickness,k=i.spikecolor||_,A=v.getPxPosition(t,i);if(-1!==w.indexOf("toaxis")||-1!==w.indexOf("across")){if(-1!==w.indexOf("toaxis")&&(x=A,b=g),-1!==w.indexOf("across")){var 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l=o.selectAll("g."+f.headerGroupClassName).data(r,p);l.enter().append("g").classed(f.headerGroupClassName,!0);for(var u=s.ensureSingle(o,"g",f.dropdownButtonGroupClassName,(function(t){t.style("pointer-events","all")})),c=0;cw,A=s.barLength+2*s.barPad,M=s.barWidth+2*s.barPad,S=d,E=g+y;E+M>u&&(E=u-M);var L=this.container.selectAll("rect.scrollbar-horizontal").data(k?[0]:[]);L.exit().on(".drag",null).remove(),L.enter().append("rect").classed("scrollbar-horizontal",!0).call(i.fill,s.barColor),k?(this.hbar=L.attr({rx:s.barRadius,ry:s.barRadius,x:S,y:E,width:A,height:M}),this._hbarXMin=S+A/2,this._hbarTranslateMax=w-A):(delete this.hbar,delete this._hbarXMin,delete this._hbarTranslateMax);var C=y>T,P=s.barWidth+2*s.barPad,O=s.barLength+2*s.barPad,I=d+v,D=g;I+P>l&&(I=l-P);var z=this.container.selectAll("rect.scrollbar-vertical").data(C?[0]:[]);z.exit().on(".drag",null).remove(),z.enter().append("rect").classed("scrollbar-vertical",!0).call(i.fill,s.barColor),C?(this.vbar=z.attr({rx:s.barRadius,ry:s.barRadius,x:I,y:D,width:P,height:O}),this._vbarYMin=D+O/2,this._vbarTranslateMax=T-O):(delete this.vbar,delete this._vbarYMin,delete this._vbarTranslateMax);var R=this.id,F=c-.5,B=C?f+P+.5:f+.5,N=h-.5,j=k?p+M+.5:p+.5,U=o._topdefs.selectAll("#"+R).data(k||C?[0]:[]);if(U.exit().remove(),U.enter().append("clipPath").attr("id",R).append("rect"),k||C?(this._clipRect=U.select("rect").attr({x:Math.floor(F),y:Math.floor(N),width:Math.ceil(B)-Math.floor(F),height:Math.ceil(j)-Math.floor(N)}),this.container.call(a.setClipUrl,R,this.gd),this.bg.attr({x:d,y:g,width:v,height:y})):(this.bg.attr({width:0,height:0}),this.container.on("wheel",null).on(".drag",null).call(a.setClipUrl,null),delete this._clipRect),k||C){var 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r=this.position.w-this._box.w,n=this.position.h-this._box.h;if(t=o.constrain(t||0,0,r),e=o.constrain(e||0,0,n),this.translateX=t,this.translateY=e,this.container.call(a.setTranslate,this._box.l-this.position.l-t,this._box.t-this.position.t-e),this._clipRect&&this._clipRect.attr({x:Math.floor(this.position.l+t-.5),y:Math.floor(this.position.t+e-.5)}),this.hbar){var i=t/r;this.hbar.call(a.setTranslate,t+i*this._hbarTranslateMax,e)}if(this.vbar){var s=e/n;this.vbar.call(a.setTranslate,t,e+s*this._vbarTranslateMax)}}},84284:function(t){"use strict";t.exports={FROM_BL:{left:0,center:.5,right:1,bottom:0,middle:.5,top:1},FROM_TL:{left:0,center:.5,right:1,bottom:1,middle:.5,top:0},FROM_BR:{left:1,center:.5,right:0,bottom:0,middle:.5,top:1},LINE_SPACING:1.3,CAP_SHIFT:.7,MID_SHIFT:.35,OPPOSITE_SIDE:{left:"right",right:"left",top:"bottom",bottom:"top"}}},36208:function(t){"use strict";t.exports={axisRefDescription:function(t,e,r){return["If set to a",t,"axis id (e.g. *"+t+"* or","*"+t+"2*), the 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r=t[i[e]];r.visible?(this.enabled[e]=r.showspikes,this.colors[e]=n(r.spikecolor),this.drawSides[e]=r.spikesides,this.lineWidth[e]=r.spikethickness):(this.enabled[e]=!1,this.drawSides[e]=!1)}},t.exports=function(t){var e=new a;return e.merge(t),e}},87152:function(t,e,r){"use strict";t.exports=function(t){for(var e=t.axesOptions,r=t.glplot.axesPixels,s=t.fullSceneLayout,l=[[],[],[]],u=0;u<3;++u){var c=s[a[u]];if(c._length=(r[u].hi-r[u].lo)*r[u].pixelsPerDataUnit/t.dataScale[u],Math.abs(c._length)===1/0||isNaN(c._length))l[u]=[];else{c._input_range=c.range.slice(),c.range[0]=r[u].lo/t.dataScale[u],c.range[1]=r[u].hi/t.dataScale[u],c._m=1/(t.dataScale[u]*r[u].pixelsPerDataUnit),c.range[0]===c.range[1]&&(c.range[0]-=1,c.range[1]+=1);var f=c.tickmode;if("auto"===c.tickmode){c.tickmode="linear";var h=c.nticks||i.constrain(c._length/40,4,9);n.autoTicks(c,Math.abs(c.range[1]-c.range[0])/h)}for(var p=n.calcTicks(c,{msUTC:!0}),d=0;d/g," 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F=x[u=(l=c[M[o]]).type];R[o]=Math.pow(F.acc,1/F.count)/p[o]}g="data"===D||Math.max.apply(null,R)/Math.min.apply(null,R)<=4?R:[1,1,1]}c.aspectratio.x=f.aspectratio.x=g[0],c.aspectratio.y=f.aspectratio.y=g[1],c.aspectratio.z=f.aspectratio.z=g[2],n.glplot.setAspectratio(c.aspectratio),n.viewInitial.aspectratio||(n.viewInitial.aspectratio={x:c.aspectratio.x,y:c.aspectratio.y,z:c.aspectratio.z}),n.viewInitial.aspectmode||(n.viewInitial.aspectmode=c.aspectmode);var B=c.domain||null,N=e._size||null;if(B&&N){var j=n.container.style;j.position="absolute",j.left=N.l+B.x[0]*N.w+"px",j.top=N.t+(1-B.y[1])*N.h+"px",j.width=N.w*(B.x[1]-B.x[0])+"px",j.height=N.h*(B.y[1]-B.y[0])+"px"}n.glplot.redraw()}},k.destroy=function(){var t=this;t.glplot&&(t.camera.mouseListener.enabled=!1,t.container.removeEventListener("wheel",t.camera.wheelListener),t.camera=null,t.glplot.dispose(),t.container.parentNode.removeChild(t.container),t.glplot=null)},k.getCamera=function(){var t,e=this;return e.camera.view.recalcMatrix(e.camera.view.lastT()),{up:{x:(t=e.camera).up[0],y:t.up[1],z:t.up[2]},center:{x:t.center[0],y:t.center[1],z:t.center[2]},eye:{x:t.eye[0],y:t.eye[1],z:t.eye[2]},projection:{type:!0===t._ortho?"orthographic":"perspective"}}},k.setViewport=function(t){var e,r=this,n=t.camera;r.camera.lookAt.apply(this,[[(e=n).eye.x,e.eye.y,e.eye.z],[e.center.x,e.center.y,e.center.z],[e.up.x,e.up.y,e.up.z]]),r.glplot.setAspectratio(t.aspectratio),"orthographic"===n.projection.type!==r.camera._ortho&&(r.glplot.redraw(),r.glplot.clearRGBA(),r.glplot.dispose(),r.initializeGLPlot())},k.isCameraChanged=function(t){var e=this.getCamera(),r=f.nestedProperty(t,this.id+".camera").get();function n(t,e,r,n){var i=["up","center","eye"],a=["x","y","z"];return e[i[r]]&&t[i[r]][a[n]]===e[i[r]][a[n]]}var i=!1;if(void 0===r)i=!0;else{for(var a=0;a<3;a++)for(var o=0;o<3;o++)if(!n(e,r,a,o)){i=!0;break}(!r.projection||e.projection&&e.projection.type!==r.projection.type)&&(i=!0)}return i},k.isAspectChanged=function(t){var e=this.glplot.getAspectratio(),r=f.nestedProperty(t,this.id+".aspectratio").get();return void 0===r||r.x!==e.x||r.y!==e.y||r.z!==e.z},k.saveLayout=function(t){var e,r,n,i,a,o,s=this,l=s.fullLayout,u=s.isCameraChanged(t),h=s.isAspectChanged(t),p=u||h;if(p){var d={};u&&(e=s.getCamera(),n=(r=f.nestedProperty(t,s.id+".camera")).get(),d[s.id+".camera"]=n),h&&(i=s.glplot.getAspectratio(),o=(a=f.nestedProperty(t,s.id+".aspectratio")).get(),d[s.id+".aspectratio"]=o),c.call("_storeDirectGUIEdit",t,l._preGUI,d),u&&(r.set(e),f.nestedProperty(l,s.id+".camera").set(e)),h&&(a.set(i),f.nestedProperty(l,s.id+".aspectratio").set(i),s.glplot.redraw())}return p},k.updateFx=function(t,e){var r=this,n=r.camera;if(n)if("orbit"===t)n.mode="orbit",n.keyBindingMode="rotate";else if("turntable"===t){n.up=[0,0,1],n.mode="turntable",n.keyBindingMode="rotate";var i=r.graphDiv,a=i._fullLayout,o=r.fullSceneLayout.camera,s=o.up.x,l=o.up.y,u=o.up.z;if(u/Math.sqrt(s*s+l*l+u*u)<.999){var h=r.id+".camera.up",p={x:0,y:0,z:1},d={};d[h]=p;var v=i.layout;c.call("_storeDirectGUIEdit",v,a._preGUI,d),o.up=p,f.nestedProperty(v,h).set(p)}}else n.keyBindingMode=t;r.fullSceneLayout.hovermode=e},k.toImage=function(t){var e=this;t||(t="png"),e.staticMode&&e.container.appendChild(n),e.glplot.redraw();var r=e.glplot.gl,i=r.drawingBufferWidth,a=r.drawingBufferHeight;r.bindFramebuffer(r.FRAMEBUFFER,null);var o=new Uint8Array(i*a*4);r.readPixels(0,0,i,a,r.RGBA,r.UNSIGNED_BYTE,o),function(t,e,r){for(var n=0,i=r-1;n0)for(var s=255/o,l=0;l<3;++l)t[a+l]=Math.min(s*t[a+l],255)}}(o,i,a);var s=document.createElement("canvas");s.width=i,s.height=a;var 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t=i.numbersScaler(h);z+=t[2];var e,r=S(v,"numbersScale",1,t[0],z,Math.min);v._scaleNumbers||(r=1),e=v._isAngular?y-r*h.bottom:y-r*(h.top+h.bottom)/2,v._numbersTop=r*h.top+e;var n=h[T];"center"===T&&(n=(h.left+h.right)/2);var a=g-r*n;return a=S(v,"numbersTranslate",0,a,z,Math.max),l(a,e)+s(r)}))}(t,I,e,{numbersX:v,numbersY:E,numbersScaler:L,transitionOpts:r,onComplete:g}),D&&(C={range:O.gauge.axis.range,color:O.gauge.bgcolor,line:{color:O.gauge.bordercolor,width:0},thickness:1},P={range:O.gauge.axis.range,color:"rgba(0, 0, 0, 0)",line:{color:O.gauge.bordercolor,width:O.gauge.borderwidth},thickness:1});var W=I.selectAll("g.angular").data(z?e:[]);W.exit().remove();var Y=I.selectAll("g.angularaxis").data(z?e:[]);Y.exit().remove(),z&&function(t,e,r,a){var o,s,f,h,p=r[0].trace,v=a.size,g=a.radius,y=a.innerRadius,m=a.gaugeBg,x=a.gaugeOutline,b=[v.l+v.w/2,v.t+v.h/2+g/2],_=a.gauge,A=a.layer,M=a.transitionOpts,S=a.onComplete,E=Math.PI/2;function L(t){var 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U,V,q,H=j.select("path");w(M)?(H.transition().duration(M.duration).ease(M.easing).each("end",(function(){S&&S()})).each("interrupt",(function(){S&&S()})).attrTween("d",(U=N,V=L(r[0].lastY),q=L(r[0].y),function(){var t=i(V,q);return function(e){return U.endAngle(t(e))()}})),p._lastValue=r[0].y):H.attr("d","number"==typeof r[0].y?N.endAngle(L(r[0].y)):"M0,0Z"),H.call(T),j.exit().remove(),F=[];var G=p.gauge.threshold.value;(G||0===G)&&F.push({range:[G,G],color:p.gauge.threshold.color,line:{color:p.gauge.threshold.line.color,width:p.gauge.threshold.line.width},thickness:p.gauge.threshold.thickness});var W=_.selectAll("g.threshold-arc").data(F);W.enter().append("g").classed("threshold-arc",!0).append("path"),W.select("path").call(P).call(T),W.exit().remove();var Y=_.selectAll("g.gauge-outline").data([x]);Y.enter().append("g").classed("gauge-outline",!0).append("path"),Y.select("path").call(P).call(T),Y.exit().remove()}(t,0,e,{radius:U,innerRadius:V,gauge:W,layer:Y,size:B,gaugeBg:C,gaugeOutline:P,transitionOpts:r,onComplete:g});var X=I.selectAll("g.bullet").data(R?e:[]);X.exit().remove();var Z=I.selectAll("g.bulletaxis").data(R?e:[]);Z.exit().remove(),R&&function(t,e,r,n){var i,a,o,s,u,c=r[0].trace,f=n.gauge,p=n.layer,v=n.gaugeBg,g=n.gaugeOutline,y=n.size,x=c.domain,b=n.transitionOpts,_=n.onComplete;f.enter().append("g").classed("bullet",!0),f.attr("transform",l(y.l,y.t)),p.enter().append("g").classed("bulletaxis",!0).classed("crisp",!0),p.selectAll("g.xbulletaxistick,path,text").remove();var A=y.h,M=c.gauge.bar.thickness*A,S=x.x[0],E=x.x[0]+(x.x[1]-x.x[0])*(c._hasNumber||c._hasDelta?1-h.bulletNumberDomainSize:1);function L(t){t.attr("width",(function(t){return Math.max(0,i.c2p(t.range[1])-i.c2p(t.range[0]))})).attr("x",(function(t){return 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O=f.selectAll("g.value-bullet").data([c.gauge.bar]);O.enter().append("g").classed("value-bullet",!0).append("rect"),O.select("rect").attr("height",M).attr("y",(A-M)/2).call(T),w(b)?O.select("rect").transition().duration(b.duration).ease(b.easing).each("end",(function(){_&&_()})).each("interrupt",(function(){_&&_()})).attr("width",Math.max(0,i.c2p(Math.min(c.gauge.axis.range[1],r[0].y)))):O.select("rect").attr("width","number"==typeof r[0].y?Math.max(0,i.c2p(Math.min(c.gauge.axis.range[1],r[0].y))):0),O.exit().remove();var I=r.filter((function(){return 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n=r(49084),i=r(29736).axisHoverFormat,a=r(21776).Ks,o=r(16716),s=r(45464),l=r(92880).extendFlat;t.exports=l({x:{valType:"data_array",editType:"calc+clearAxisTypes"},y:{valType:"data_array",editType:"calc+clearAxisTypes"},z:{valType:"data_array",editType:"calc+clearAxisTypes"},i:{valType:"data_array",editType:"calc"},j:{valType:"data_array",editType:"calc"},k:{valType:"data_array",editType:"calc"},text:{valType:"string",dflt:"",arrayOk:!0,editType:"calc"},hovertext:{valType:"string",dflt:"",arrayOk:!0,editType:"calc"},hovertemplate:a({editType:"calc"}),xhoverformat:i("x"),yhoverformat:i("y"),zhoverformat:i("z"),delaunayaxis:{valType:"enumerated",values:["x","y","z"],dflt:"z",editType:"calc"},alphahull:{valType:"number",dflt:-1,editType:"calc"},intensity:{valType:"data_array",editType:"calc"},intensitymode:{valType:"enumerated",values:["vertex","cell"],dflt:"vertex",editType:"calc"},color:{valType:"color",editType:"calc"},vertexcolor:{valType:"data_array",editType:"calc"},facecolor:{valType:"data_array",editType:"calc"},transforms:void 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p=s(t,e,{name:"dimensions",handleItemDefaults:f}),d=function(t,e,r,o,s){s("line.shape"),s("line.hovertemplate");var l=s("line.color",o.colorway[0]);if(i(t,"line")&&n.isArrayOrTypedArray(l)){if(l.length)return s("line.colorscale"),a(t,e,o,s,{prefix:"line.",cLetter:"c"}),l.length;e.line.color=r}return 1/0}(t,e,r,c,h);o(e,c,h),Array.isArray(p)&&p.length||(e.visible=!1),u(e,p,"values",d),h("hoveron"),h("hovertemplate"),h("arrangement"),h("bundlecolors"),h("sortpaths"),h("counts");var v={family:c.font.family,size:Math.round(c.font.size),color:c.font.color};n.coerceFont(h,"labelfont",v);var g={family:c.font.family,size:Math.round(c.font.size/1.2),color:c.font.color};n.coerceFont(h,"tickfont",g)}},22020:function(t,e,r){"use strict";t.exports={attributes:r(72140),supplyDefaults:r(76671),calc:r(69136),plot:r(60268),colorbar:{container:"line",min:"cmin",max:"cmax"},moduleType:"trace",name:"parcats",basePlotModule:r(91800),categories:["noOpacity"],meta:{}}},51036:function(t,e,r){"use strict";var n=r(33428),i=r(67756).Gz,a=r(36424),o=r(93024),s=r(3400),l=s.strTranslate,u=r(43616),c=r(49760),f=r(72736);function h(t,e,r,i){var a=e._context.staticPlot,o=t.map(F.bind(0,e,r)),c=i.selectAll("g.parcatslayer").data([null]);c.enter().append("g").attr("class","parcatslayer").style("pointer-events",a?"none":"all");var h=c.selectAll("g.trace.parcats").data(o,p),m=h.enter().append("g").attr("class","trace parcats");h.attr("transform",(function(t){return l(t.x,t.y)})),m.append("g").attr("class","paths");var x=h.select("g.paths").selectAll("path.path").data((function(t){return t.paths}),p);x.attr("fill",(function(t){return t.model.color}));var w=x.enter().append("path").attr("class","path").attr("stroke-opacity",0).attr("fill",(function(t){return t.model.color})).attr("fill-opacity",0);_(w),x.attr("d",(function(t){return t.svgD})),w.empty()||x.sort(v),x.exit().remove(),x.on("mouseover",g).on("mouseout",y).on("click",b),m.append("g").attr("class","dimensions");var A=h.select("g.dimensions").selectAll("g.dimension").data((function(t){return t.dimensions}),p);A.enter().append("g").attr("class","dimension"),A.attr("transform",(function(t){return l(t.x,0)})),A.exit().remove();var M=A.selectAll("g.category").data((function(t){return t.categories}),p),S=M.enter().append("g").attr("class","category");M.attr("transform",(function(t){return l(0,t.y)})),S.append("rect").attr("class","catrect").attr("pointer-events","none"),M.select("rect.catrect").attr("fill","none").attr("width",(function(t){return t.width})).attr("height",(function(t){return t.height})),T(S);var E=M.selectAll("rect.bandrect").data((function(t){return t.bands}),p);E.each((function(){s.raiseToTop(this)})),E.attr("fill",(function(t){return t.color}));var D=E.enter().append("rect").attr("class","bandrect").attr("stroke-opacity",0).attr("fill",(function(t){return t.color})).attr("fill-opacity",0);E.attr("fill",(function(t){return t.color})).attr("width",(function(t){return t.width})).attr("height",(function(t){return t.height})).attr("y",(function(t){return t.y})).attr("cursor",(function(t){return"fixed"===t.parcatsViewModel.arrangement?"default":"perpendicular"===t.parcatsViewModel.arrangement?"ns-resize":"move"})),k(D),E.exit().remove(),S.append("text").attr("class","catlabel").attr("pointer-events","none");var z=e._fullLayout.paper_bgcolor;M.select("text.catlabel").attr("text-anchor",(function(t){return d(t)?"start":"end"})).attr("alignment-baseline","middle").style("text-shadow",f.makeTextShadow(z)).style("fill","rgb(0, 0, 0)").attr("x",(function(t){return d(t)?t.width+5:-5})).attr("y",(function(t){return t.height/2})).text((function(t){return t.model.categoryLabel})).each((function(t){u.font(n.select(this),t.parcatsViewModel.categorylabelfont),f.convertToTspans(n.select(this),e)})),S.append("text").attr("class","dimlabel"),M.select("text.dimlabel").attr("text-anchor","middle").attr("alignment-baseline","baseline").attr("cursor",(function(t){return"fixed"===t.parcatsViewModel.arrangement?"default":"ew-resize"})).attr("x",(function(t){return t.width/2})).attr("y",-5).text((function(t,e){return 0===e?t.parcatsViewModel.model.dimensions[t.model.dimensionInd].dimensionLabel:null})).each((function(t){u.font(n.select(this),t.parcatsViewModel.labelfont)})),M.selectAll("rect.bandrect").on("mouseover",L).on("mouseout",C),M.exit().remove(),A.call(n.behavior.drag().origin((function(t){return{x:t.x,y:0}})).on("dragstart",P).on("drag",O).on("dragend",I)),h.each((function(t){t.traceSelection=n.select(this),t.pathSelection=n.select(this).selectAll("g.paths").selectAll("path.path"),t.dimensionSelection=n.select(this).selectAll("g.dimensions").selectAll("g.dimension")})),h.exit().remove()}function p(t){return t.key}function d(t){var e=t.parcatsViewModel.dimensions.length,r=t.parcatsViewModel.dimensions[e-1].model.dimensionInd;return t.model.dimensionInd===r}function v(t,e){return t.model.rawColor>e.model.rawColor?1:t.model.rawColor"),L=n.mouse(f)[0];o.loneHover({trace:h,x:b-d.left+v.left,y:_-d.top+v.top,text:E,color:t.model.color,borderColor:"black",fontFamily:'Monaco, "Courier New", 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e=t.parcatsViewModel;e.dragDimension||(_(e.pathSelection),T(e.dimensionSelection.selectAll("g.category")),k(e.dimensionSelection.selectAll("g.category").selectAll("rect.bandrect")),o.loneUnhover(e.graphDiv._fullLayout._hoverlayer.node()),e.pathSelection.sort(v),-1!==e.hoverinfoItems.indexOf("skip"))||("color"===t.parcatsViewModel.hoveron?S(this,"plotly_unhover",n.event):M(this,"plotly_unhover",n.event))}function P(t){"fixed"!==t.parcatsViewModel.arrangement&&(t.dragDimensionDisplayInd=t.model.displayInd,t.initialDragDimensionDisplayInds=t.parcatsViewModel.model.dimensions.map((function(t){return t.displayInd})),t.dragHasMoved=!1,t.dragCategoryDisplayInd=null,n.select(this).selectAll("g.category").select("rect.catrect").each((function(e){var r=n.mouse(this)[0],i=n.mouse(this)[1];-2<=r&&r<=e.width+2&&-2<=i&&i<=e.height+2&&(t.dragCategoryDisplayInd=e.model.displayInd,t.initialDragCategoryDisplayInds=t.model.categories.map((function(t){return 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t,e,r=[];return{set:function(n){1===(r=n.map((function(t){return t.slice().sort(s)})).sort(A)).length&&r[0][0]===-1/0&&r[0][1]===1/0&&(r=[[0,-1]]),t=S(r),e=r.reduce((function(t,e){return[Math.min(t[0],e[0]),Math.max(t[1],e[1])]}),[1/0,-1/0])},get:function(){return r.slice()},getConsolidated:function(){return t},getBounds:function(){return e}}}();return l.set(r),{filter:l,filterSpecified:e,svgBrush:{extent:[],brushStartCallback:n,brushCallback:(o=i,function(t){var e=t.brush,r=function(t){return t.svgBrush.extent.map((function(t){return t.slice()}))}(e),n=r.slice();e.filter.set(n),o()}),brushEndCallback:a}}},ensureAxisBrush:function(t,e,r){var i=t.selectAll("."+n.cn.axisBrush).data(o,a);i.enter().append("g").classed(n.cn.axisBrush,!0),function(t,e,r){var 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n=e[0].trace;c[r]=n.index;var i=f[r]=n._fullInput.index;l[r]=t.data[i].dimensions,u[r]=t.data[i].dimensions.slice()})),n(t,e,{width:h.w,height:h.h,margin:{t:h.t,r:h.r,b:h.b,l:h.l}},{filterChanged:function(e,n,i){var a=u[e][n],o=i.map((function(t){return t.slice()})),s="dimensions["+n+"].constraintrange",l=r._tracePreGUI[t._fullData[c[e]]._fullInput.uid];if(void 0===l[s]){var h=a.constraintrange;l[s]=h||null}var p=t._fullData[c[e]].dimensions[n];o.length?(1===o.length&&(o=o[0]),a.constraintrange=o,p.constraintrange=o.slice(),o=[o]):(delete a.constraintrange,delete p.constraintrange,o=null);var d={};d[s]=o,t.emit("plotly_restyle",[d,[f[e]]])},hover:function(e){t.emit("plotly_hover",e)},unhover:function(e){t.emit("plotly_unhover",e)},axesMoved:function(e,r){var n=function(t,e){return function(r,n){return s(t,e,r)-s(t,e,n)}}(r,u[e].filter(a));l[e].sort(n),u[e].filter((function(t){return!a(t)})).sort((function(t){return 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n=r(45464),i=r(86968).u,a=r(25376),o=r(22548),s=r(21776).Ks,l=r(21776).Gw,u=r(92880).extendFlat,c=r(98192).c,f=a({editType:"plot",arrayOk:!0,colorEditType:"plot"});t.exports={labels:{valType:"data_array",editType:"calc"},label0:{valType:"number",dflt:0,editType:"calc"},dlabel:{valType:"number",dflt:1,editType:"calc"},values:{valType:"data_array",editType:"calc"},marker:{colors:{valType:"data_array",editType:"calc"},line:{color:{valType:"color",dflt:o.defaultLine,arrayOk:!0,editType:"style"},width:{valType:"number",min:0,dflt:0,arrayOk:!0,editType:"style"},editType:"calc"},pattern:c,editType:"calc"},text:{valType:"data_array",editType:"plot"},hovertext:{valType:"string",dflt:"",arrayOk:!0,editType:"style"},scalegroup:{valType:"string",dflt:"",editType:"calc"},textinfo:{valType:"flaglist",flags:["label","text","value","percent"],extras:["none"],editType:"calc"},hoverinfo:u({},n.hoverinfo,{flags:["label","text","value","percent","name"]}),hovertemplate:s({},{keys:["label","color","value","percent","text"]}),texttemplate:l({editType:"plot"},{keys:["label","color","value","percent","text"]}),textposition:{valType:"enumerated",values:["inside","outside","auto","none"],dflt:"auto",arrayOk:!0,editType:"plot"},textfont:u({},f,{}),insidetextorientation:{valType:"enumerated",values:["horizontal","radial","tangential","auto"],dflt:"auto",editType:"plot"},insidetextfont:u({},f,{}),outsidetextfont:u({},f,{}),automargin:{valType:"boolean",dflt:!1,editType:"plot"},title:{text:{valType:"string",dflt:"",editType:"plot"},font:u({},f,{}),position:{valType:"enumerated",values:["top 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n=r(38248),i=r(49760),a=r(76308),o={};function s(t){return function(e,r){return!!e&&!!(e=i(e)).isValid()&&(e=a.addOpacity(e,e.getAlpha()),t[r]||(t[r]=e),e)}}function l(t,e){var r,n=JSON.stringify(t),a=e[n];if(!a){for(a=t.slice(),r=0;r=0})),("funnelarea"===e.type?y:e.sort)&&a.sort((function(t,e){return e.v-t.v})),a[0]&&(a[0].vTotal=g),a},crossTraceCalc:function(t,e){var r=(e||{}).type;r||(r="pie");var n=t._fullLayout,i=t.calcdata,a=n[r+"colorway"],s=n["_"+r+"colormap"];n["extend"+r+"colors"]&&(a=l(a,o));for(var u=0,c=0;c0){s=!0;break}}s||(o=0)}return{hasLabels:r,hasValues:a,len:o}}function c(t,e,r,n,i){n("marker.line.width")&&n("marker.line.color",i?void 0:r.paper_bgcolor);var a=n("marker.colors");l(n,"marker.pattern",a),t.marker&&!e.marker.pattern.fgcolor&&(e.marker.pattern.fgcolor=t.marker.colors),e.marker.pattern.bgcolor||(e.marker.pattern.bgcolor=r.paper_bgcolor)}t.exports={handleLabelsAndValues:u,handleMarkerDefaults:c,supplyDefaults:function(t,e,r,n){function l(r,n){return i.coerce(t,e,a,r,n)}var f=u(l("labels"),l("values")),h=f.len;if(e._hasLabels=f.hasLabels,e._hasValues=f.hasValues,!e._hasLabels&&e._hasValues&&(l("label0"),l("dlabel")),h){e._length=h,c(t,e,n,l,!0),l("scalegroup");var p,d=l("text"),v=l("texttemplate");if(v||(p=l("textinfo",i.isArrayOrTypedArray(d)?"text+percent":"percent")),l("hovertext"),l("hovertemplate"),v||p&&"none"!==p){var g=l("textposition");s(t,e,n,l,g,{moduleHasSelected:!1,moduleHasUnselected:!1,moduleHasConstrain:!1,moduleHasCliponaxis:!1,moduleHasTextangle:!1,moduleHasInsideanchor:!1}),(Array.isArray(g)||"auto"===g||"outside"===g)&&l("automargin"),("inside"===g||"auto"===g||Array.isArray(g))&&l("insidetextorientation")}o(e,n,l);var y=l("hole");if(l("title.text")){var m=l("title.position",y?"middle center":"top center");y||"middle center"!==m||(e.title.position="top center"),i.coerceFont(l,"title.font",n.font)}l("sort"),l("direction"),l("rotation"),l("pull")}else e.visible=!1}}},53644:function(t,e,r){"use strict";var n=r(10624).appendArrayMultiPointValues;t.exports=function(t,e){var r={curveNumber:e.index,pointNumbers:t.pts,data:e._input,fullData:e,label:t.label,color:t.color,value:t.v,percent:t.percent,text:t.text,bbox:t.bbox,v:t.v};return 1===t.pts.length&&(r.pointNumber=r.i=t.pts[0]),n(r,e,t.pts),"funnelarea"===e.type&&(delete r.v,delete r.i),r}},21552:function(t,e,r){"use strict";var n=r(43616),i=r(76308);t.exports=function(t,e,r,a){var o=r.marker.pattern;o&&o.shape?n.pointStyle(t,r,a,e):i.fill(t,e.color)}},69656:function(t,e,r){"use strict";var n=r(3400);function i(t){return-1!==t.indexOf("e")?t.replace(/[.]?0+e/,"e"):-1!==t.indexOf(".")?t.replace(/[.]?0+$/,""):t}e.formatPiePercent=function(t,e){var r=i((100*t).toPrecision(3));return n.numSeparate(r,e)+"%"},e.formatPieValue=function(t,e){var r=i(t.toPrecision(10));return n.numSeparate(r,e)},e.getFirstFilled=function(t,e){if(n.isArrayOrTypedArray(t))for(var r=0;r"),name:f.hovertemplate||-1!==h.indexOf("name")?f.name:void 0,idealAlign:t.pxmid[0]<0?"left":"right",color:g.castOption(_.bgcolor,t.pts)||t.color,borderColor:g.castOption(_.bordercolor,t.pts),fontFamily:g.castOption(w.family,t.pts),fontSize:g.castOption(w.size,t.pts),fontColor:g.castOption(w.color,t.pts),nameLength:g.castOption(_.namelength,t.pts),textAlign:g.castOption(_.align,t.pts),hovertemplate:g.castOption(f.hovertemplate,t.pts),hovertemplateLabels:t,eventData:[y(t,f)]},{container:r._hoverlayer.node(),outerContainer:r._paper.node(),gd:e,inOut_bbox:T}),t.bbox=T[0],u._hasHoverLabel=!0}u._hasHoverEvent=!0,e.emit("plotly_hover",{points:[y(t,f)],event:n.event})}})),t.on("mouseout",(function(t){var r=e._fullLayout,i=e._fullData[u.index],o=n.select(this).datum();u._hasHoverEvent&&(t.originalEvent=n.event,e.emit("plotly_unhover",{points:[y(o,i)],event:n.event}),u._hasHoverEvent=!1),u._hasHoverLabel&&(a.loneUnhover(r._hoverlayer.node()),u._hasHoverLabel=!1)})),t.on("click",(function(t){var r=e._fullLayout,i=e._fullData[u.index];e._dragging||!1===r.hovermode||(e._hoverdata=[y(t,i)],a.click(e,n.event))}))}function b(t,e,r){var n=g.castOption(t.insidetextfont.color,e.pts);!n&&t._input.textfont&&(n=g.castOption(t._input.textfont.color,e.pts));var i=g.castOption(t.insidetextfont.family,e.pts)||g.castOption(t.textfont.family,e.pts)||r.family,a=g.castOption(t.insidetextfont.size,e.pts)||g.castOption(t.textfont.size,e.pts)||r.size;return{color:n||o.contrast(e.color),family:i,size:a}}function _(t,e){for(var r,n,i=0;ie&&e>n||r=-4;g-=2)y(Math.PI*g,"tan");for(g=4;g>=-4;g-=2)y(Math.PI*(g+1),"tan")}if(f||p){for(g=4;g>=-4;g-=2)y(Math.PI*(g+1.5),"rad");for(g=4;g>=-4;g-=2)y(Math.PI*(g+.5),"rad")}}if(s||d||f){var m=Math.sqrt(t.width*t.width+t.height*t.height);if((a={scale:i*n*2/m,rCenter:1-i,rotate:0}).textPosAngle=(e.startangle+e.stopangle)/2,a.scale>=1)return a;v.push(a)}(d||p)&&((a=T(t,n,o,l,u)).textPosAngle=(e.startangle+e.stopangle)/2,v.push(a)),(d||h)&&((a=k(t,n,o,l,u)).textPosAngle=(e.startangle+e.stopangle)/2,v.push(a));for(var x=0,b=0,_=0;_=1)break}return v[x]}function T(t,e,r,n,i){e=Math.max(0,e-2*v);var a=t.width/t.height,o=S(a,n,e,r);return{scale:2*o/t.height,rCenter:A(a,o/e),rotate:M(i)}}function k(t,e,r,n,i){e=Math.max(0,e-2*v);var a=t.height/t.width,o=S(a,n,e,r);return{scale:2*o/t.width,rCenter:A(a,o/e),rotate:M(i+Math.PI/2)}}function A(t,e){return Math.cos(e)-t*e}function M(t){return(180/Math.PI*t+720)%180-90}function S(t,e,r,n){var i=t+1/(2*Math.tan(e));return r*Math.min(1/(Math.sqrt(i*i+.5)+i),n/(Math.sqrt(t*t+n/2)+t))}function E(t,e){return t.v!==e.vTotal||e.trace.hole?Math.min(1/(1+1/Math.sin(t.halfangle)),t.ring/2):1}function L(t,e){var r=e.pxmid[0],n=e.pxmid[1],i=t.width/2,a=t.height/2;return r<0&&(i*=-1),n<0&&(a*=-1),{scale:1,rCenter:1,rotate:0,x:i+Math.abs(a)*(i>0?1:-1)/2,y:a/(1+r*r/(n*n)),outside:!0}}function C(t,e){var r,n,i,a=t.trace,o={x:t.cx,y:t.cy},s={tx:0,ty:0};s.ty+=a.title.font.size,i=O(a),-1!==a.title.position.indexOf("top")?(o.y-=(1+i)*t.r,s.ty-=t.titleBox.height):-1!==a.title.position.indexOf("bottom")&&(o.y+=(1+i)*t.r);var l,u=t.r/(void 0===(l=t.trace.aspectratio)?1:l),c=e.w*(a.domain.x[1]-a.domain.x[0])/2;return-1!==a.title.position.indexOf("left")?(c+=u,o.x-=(1+i)*u,s.tx+=t.titleBox.width/2):-1!==a.title.position.indexOf("center")?c*=2:-1!==a.title.position.indexOf("right")&&(c+=u,o.x+=(1+i)*u,s.tx-=t.titleBox.width/2),r=c/t.titleBox.width,n=P(t,e)/t.titleBox.height,{x:o.x,y:o.y,scale:Math.min(r,n),tx:s.tx,ty:s.ty}}function P(t,e){var r=t.trace,n=e.h*(r.domain.y[1]-r.domain.y[0]);return Math.min(t.titleBox.height,n/2)}function O(t){var e,r=t.pull;if(!r)return 0;if(l.isArrayOrTypedArray(r))for(r=0,e=0;er&&(r=t.pull[e]);return r}function I(t,e){for(var r=[],n=0;n1?c=(u=r.r)/i.aspectratio:u=(c=r.r)*i.aspectratio,l=(u*=(1+i.baseratio)/2)*c}o=Math.min(o,l/r.vTotal)}for(n=0;n")}if(a){var x=l.castOption(i,e.i,"texttemplate");if(x){var b=function(t){return{label:t.label,value:t.v,valueLabel:g.formatPieValue(t.v,n.separators),percent:t.v/r.vTotal,percentLabel:g.formatPiePercent(t.v/r.vTotal,n.separators),color:t.color,text:t.text,customdata:l.castOption(i,t.i,"customdata")}}(e),_=g.getFirstFilled(i.text,e.pts);(m(_)||""===_)&&(b.text=_),e.text=l.texttemplateString(x,b,t._fullLayout._d3locale,b,i._meta||{})}else e.text=""}}function R(t,e){var r=t.rotate*Math.PI/180,n=Math.cos(r),i=Math.sin(r),a=(e.left+e.right)/2,o=(e.top+e.bottom)/2;t.textX=a*n-o*i,t.textY=a*i+o*n,t.noCenter=!0}t.exports={plot:function(t,e){var r=t._context.staticPlot,a=t._fullLayout,h=a._size;d("pie",a),_(e,t),I(e,h);var v=l.makeTraceGroups(a._pielayer,e,"trace").each((function(e){var d=n.select(this),v=e[0],y=v.trace;!function(t){var e,r,n,i=t[0],a=i.r,o=i.trace,s=g.getRotationAngle(o.rotation),l=2*Math.PI/i.vTotal,u="px0",c="px1";if("counterclockwise"===o.direction){for(e=0;ei.vTotal/2?1:0,r.halfangle=Math.PI*Math.min(r.v/i.vTotal,.5),r.ring=1-o.hole,r.rInscribed=E(r,i))}(e),d.attr("stroke-linejoin","round"),d.each((function(){var m=n.select(this).selectAll("g.slice").data(e);m.enter().append("g").classed("slice",!0),m.exit().remove();var _=[[[],[]],[[],[]]],T=!1;m.each((function(i,o){if(i.hidden)n.select(this).selectAll("path,g").remove();else{i.pointNumber=i.i,i.curveNumber=y.index,_[i.pxmid[1]<0?0:1][i.pxmid[0]<0?0:1].push(i);var u=v.cx,c=v.cy,h=n.select(this),d=h.selectAll("path.surface").data([i]);if(d.enter().append("path").classed("surface",!0).style({"pointer-events":r?"none":"all"}),h.call(x,t,e),y.pull){var m=+g.castOption(y.pull,i.pts)||0;m>0&&(u+=m*i.pxmid[0],c+=m*i.pxmid[1])}i.cxFinal=u,i.cyFinal=c;var k=y.hole;if(i.v===v.vTotal){var A="M"+(u+i.px0[0])+","+(c+i.px0[1])+P(i.px0,i.pxmid,!0,1)+P(i.pxmid,i.px0,!0,1)+"Z";k?d.attr("d","M"+(u+k*i.px0[0])+","+(c+k*i.px0[1])+P(i.px0,i.pxmid,!1,k)+P(i.pxmid,i.px0,!1,k)+"Z"+A):d.attr("d",A)}else{var M=P(i.px0,i.px1,!0,1);if(k){var S=1-k;d.attr("d","M"+(u+k*i.px1[0])+","+(c+k*i.px1[1])+P(i.px1,i.px0,!1,k)+"l"+S*i.px0[0]+","+S*i.px0[1]+M+"Z")}else d.attr("d","M"+u+","+c+"l"+i.px0[0]+","+i.px0[1]+M+"Z")}z(t,i,v);var E=g.castOption(y.textposition,i.pts),C=h.selectAll("g.slicetext").data(i.text&&"none"!==E?[0]:[]);C.enter().append("g").classed("slicetext",!0),C.exit().remove(),C.each((function(){var r=l.ensureSingle(n.select(this),"text","",(function(t){t.attr("data-notex",1)})),h=l.ensureUniformFontSize(t,"outside"===E?function(t,e,r){return{color:g.castOption(t.outsidetextfont.color,e.pts)||g.castOption(t.textfont.color,e.pts)||r.color,family:g.castOption(t.outsidetextfont.family,e.pts)||g.castOption(t.textfont.family,e.pts)||r.family,size:g.castOption(t.outsidetextfont.size,e.pts)||g.castOption(t.textfont.size,e.pts)||r.size}}(y,i,a.font):b(y,i,a.font));r.text(i.text).attr({class:"slicetext",transform:"","text-anchor":"middle"}).call(s.font,h).call(f.convertToTspans,t);var d,m=s.bBox(r.node());if("outside"===E)d=L(m,i);else if(d=w(m,i,v),"auto"===E&&d.scale<1){var x=l.ensureUniformFontSize(t,y.outsidetextfont);r.call(s.font,x),d=L(m=s.bBox(r.node()),i)}var _=d.textPosAngle,k=void 0===_?i.pxmid:D(v.r,_);if(d.targetX=u+k[0]*d.rCenter+(d.x||0),d.targetY=c+k[1]*d.rCenter+(d.y||0),R(d,m),d.outside){var A=d.targetY;i.yLabelMin=A-m.height/2,i.yLabelMid=A,i.yLabelMax=A+m.height/2,i.labelExtraX=0,i.labelExtraY=0,T=!0}d.fontSize=h.size,p(y.type,d,a),e[o].transform=d,l.setTransormAndDisplay(r,d)}))}function P(t,e,r,n){var a=n*(e[0]-t[0]),o=n*(e[1]-t[1]);return"a"+n*v.r+","+n*v.r+" 0 "+i.largeArc+(r?" 1 ":" 0 ")+a+","+o}}));var k=n.select(this).selectAll("g.titletext").data(y.title.text?[0]:[]);if(k.enter().append("g").classed("titletext",!0),k.exit().remove(),k.each((function(){var e,r=l.ensureSingle(n.select(this),"text","",(function(t){t.attr("data-notex",1)})),i=y.title.text;y._meta&&(i=l.templateString(i,y._meta)),r.text(i).attr({class:"titletext",transform:"","text-anchor":"middle"}).call(s.font,y.title.font).call(f.convertToTspans,t),e="middle center"===y.title.position?function(t){var e=Math.sqrt(t.titleBox.width*t.titleBox.width+t.titleBox.height*t.titleBox.height);return{x:t.cx,y:t.cy,scale:t.trace.hole*t.r*2/e,tx:0,ty:-t.titleBox.height/2+t.trace.title.font.size}}(v):C(v,h),r.attr("transform",c(e.x,e.y)+u(Math.min(1,e.scale))+c(e.tx,e.ty))})),T&&function(t,e){var r,n,i,a,o,s,u,c,f,h,p,d,v;function y(t,e){return t.pxmid[1]-e.pxmid[1]}function m(t,e){return e.pxmid[1]-t.pxmid[1]}function x(t,r){r||(r={});var i,c,f,p,d=r.labelExtraY+(n?r.yLabelMax:r.yLabelMin),v=n?t.yLabelMin:t.yLabelMax,y=n?t.yLabelMax:t.yLabelMin,m=t.cyFinal+o(t.px0[1],t.px1[1]),x=d-v;if(x*u>0&&(t.labelExtraY=x),l.isArrayOrTypedArray(e.pull))for(c=0;c=(g.castOption(e.pull,f.pts)||0)||((t.pxmid[1]-f.pxmid[1])*u>0?(x=f.cyFinal+o(f.px0[1],f.px1[1])-v-t.labelExtraY)*u>0&&(t.labelExtraY+=x):(y+t.labelExtraY-m)*u>0&&(i=3*s*Math.abs(c-h.indexOf(t)),(p=f.cxFinal+a(f.px0[0],f.px1[0])+i-(t.cxFinal+t.pxmid[0])-t.labelExtraX)*s>0&&(t.labelExtraX+=p)))}for(n=0;n<2;n++)for(i=n?y:m,o=n?Math.max:Math.min,u=n?1:-1,r=0;r<2;r++){for(a=r?Math.max:Math.min,s=r?1:-1,(c=t[n][r]).sort(i),f=t[1-n][r],h=f.concat(c),d=[],p=0;pMath.abs(f)?s+="l"+f*t.pxmid[0]/t.pxmid[1]+","+f+"H"+(a+t.labelExtraX+u):s+="l"+t.labelExtraX+","+c+"v"+(f-c)+"h"+u}else s+="V"+(t.yLabelMid+t.labelExtraY)+"h"+u;l.ensureSingle(r,"path","textline").call(o.stroke,e.outsidetextfont.color).attr({"stroke-width":Math.min(2,e.outsidetextfont.size/8),d:s,fill:"none"})}else r.select("path.textline").remove()}))}(m,y),T&&y.automargin){var A=s.bBox(d.node()),M=y.domain,S=h.w*(M.x[1]-M.x[0]),E=h.h*(M.y[1]-M.y[0]),P=(.5*S-v.r)/h.w,O=(.5*E-v.r)/h.h;i.autoMargin(t,"pie."+y.uid+".automargin",{xl:M.x[0]-P,xr:M.x[1]+P,yb:M.y[0]-O,yt:M.y[1]+O,l:Math.max(v.cx-v.r-A.left,0),r:Math.max(A.right-(v.cx+v.r),0),b:Math.max(A.bottom-(v.cy+v.r),0),t:Math.max(v.cy-v.r-A.top,0),pad:5})}}))}));setTimeout((function(){v.selectAll("tspan").each((function(){var t=n.select(this);t.attr("dy")&&t.attr("dy",t.attr("dy"))}))}),0)},formatSliceLabel:z,transformInsideText:w,determineInsideTextFont:b,positionTitleOutside:C,prerenderTitles:_,layoutAreas:I,attachFxHandlers:x,computeTransform:R}},22152:function(t,e,r){"use strict";var n=r(33428),i=r(10528),a=r(82744).resizeText;t.exports=function(t){var e=t._fullLayout._pielayer.selectAll(".trace");a(t,e,"pie"),e.each((function(e){var r=e[0].trace,a=n.select(this);a.style({opacity:r.opacity}),a.selectAll("path.surface").each((function(e){n.select(this).call(i,e,r,t)}))}))}},10528:function(t,e,r){"use strict";var n=r(76308),i=r(69656).castOption,a=r(21552);t.exports=function(t,e,r,o){var s=r.marker.line,l=i(s.color,e.pts)||n.defaultLine,u=i(s.width,e.pts)||0;t.call(a,e,r,o).style("stroke-width",u).call(n.stroke,l)}},35484:function(t,e,r){"use strict";var n=r(52904);t.exports={x:n.x,y:n.y,xy:{valType:"data_array",editType:"calc"},indices:{valType:"data_array",editType:"calc"},xbounds:{valType:"data_array",editType:"calc"},ybounds:{valType:"data_array",editType:"calc"},text:n.text,marker:{color:{valType:"color",arrayOk:!1,editType:"calc"},opacity:{valType:"number",min:0,max:1,dflt:1,arrayOk:!1,editType:"calc"},blend:{valType:"boolean",dflt:null,editType:"calc"},sizemin:{valType:"number",min:.1,max:2,dflt:.5,editType:"calc"},sizemax:{valType:"number",min:.1,dflt:20,editType:"calc"},border:{color:{valType:"color",arrayOk:!1,editType:"calc"},arearatio:{valType:"number",min:0,max:1,dflt:0,editType:"calc"},editType:"calc"},editType:"calc"},transforms:void 0}},11072:function(t,e,r){"use strict";var n=r(67792).gl_pointcloud2d,i=r(3400).isArrayOrTypedArray,a=r(43080),o=r(19280).findExtremes,s=r(44928);function l(t,e){this.scene=t,this.uid=e,this.type="pointcloud",this.pickXData=[],this.pickYData=[],this.xData=[],this.yData=[],this.textLabels=[],this.color="rgb(0, 0, 0)",this.name="",this.hoverinfo="all",this.idToIndex=new Int32Array(0),this.bounds=[0,0,0,0],this.pointcloudOptions={positions:new Float32Array(0),idToIndex:this.idToIndex,sizemin:.5,sizemax:12,color:[0,0,0,1],areaRatio:1,borderColor:[0,0,0,1]},this.pointcloud=n(t.glplot,this.pointcloudOptions),this.pointcloud._trace=this}var u=l.prototype;u.handlePick=function(t){var e=this.idToIndex[t.pointId];return{trace:this,dataCoord:t.dataCoord,traceCoord:this.pickXYData?[this.pickXYData[2*e],this.pickXYData[2*e+1]]:[this.pickXData[e],this.pickYData[e]],textLabel:i(this.textLabels)?this.textLabels[e]:this.textLabels,color:this.color,name:this.name,pointIndex:e,hoverinfo:this.hoverinfo}},u.update=function(t){this.index=t.index,this.textLabels=t.text,this.name=t.name,this.hoverinfo=t.hoverinfo,this.bounds=[1/0,1/0,-1/0,-1/0],this.updateFast(t),this.color=s(t,{})},u.updateFast=function(t){var e,r,n,i,s,l,u=this.xData=this.pickXData=t.x,c=this.yData=this.pickYData=t.y,f=this.pickXYData=t.xy,h=t.xbounds&&t.ybounds,p=t.indices,d=this.bounds;if(f){if(n=f,e=f.length>>>1,h)d[0]=t.xbounds[0],d[2]=t.xbounds[1],d[1]=t.ybounds[0],d[3]=t.ybounds[1];else for(l=0;ld[2]&&(d[2]=i),sd[3]&&(d[3]=s);if(p)r=p;else for(r=new Int32Array(e),l=0;ld[2]&&(d[2]=i),sd[3]&&(d[3]=s);this.idToIndex=r,this.pointcloudOptions.idToIndex=r,this.pointcloudOptions.positions=n;var 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s(t,e,r,n){this.type="scattermapbox",this.subplot=t,this.uid=e,this.clusterEnabled=r,this.isHidden=n,this.sourceIds={fill:"source-"+e+"-fill",line:"source-"+e+"-line",circle:"source-"+e+"-circle",symbol:"source-"+e+"-symbol",cluster:"source-"+e+"-circle",clusterCount:"source-"+e+"-circle"},this.layerIds={fill:a+e+"-fill",line:a+e+"-line",circle:a+e+"-circle",symbol:a+e+"-symbol",cluster:a+e+"-cluster",clusterCount:a+e+"-cluster-count"},this.below=null}var l=s.prototype;l.addSource=function(t,e,r){var i={type:"geojson",data:e.geojson};r&&r.enabled&&n.extendFlat(i,{cluster:!0,clusterMaxZoom:r.maxzoom});var a=this.subplot.map.getSource(this.sourceIds[t]);a?a.setData(e.geojson):this.subplot.map.addSource(this.sourceIds[t],i)},l.setSourceData=function(t,e){this.subplot.map.getSource(this.sourceIds[t]).setData(e.geojson)},l.addLayer=function(t,e,r){var n={type:e.type,id:this.layerIds[t],source:this.sourceIds[t],layout:e.layout,paint:e.paint};e.filter&&(n.filter=e.filter);for(var i,a=this.layerIds[t],o=this.subplot.getMapLayers(),s=0;s=0;r--){var i=e[r];n.removeLayer(c.layerIds[i])}t||n.removeSource(c.sourceIds.circle)}(t):function(t){for(var e=o.nonCluster,r=e.length-1;r>=0;r--){var i=e[r];n.removeLayer(c.layerIds[i]),t||n.removeSource(c.sourceIds[i])}}(t)}function h(t){l?function(t){t||c.addSource("circle",a.circle,e.cluster);for(var r=o.cluster,n=0;n=0;r--){var n=e[r];t.removeLayer(this.layerIds[n]),t.removeSource(this.sourceIds[n])}},t.exports=function(t,e){var r,n,a,l=e[0].trace,u=l.cluster&&l.cluster.enabled,c=!0!==l.visible,f=new s(t,l.uid,u,c),h=i(t.gd,e),p=f.below=t.belowLookup["trace-"+l.uid];if(u)for(f.addSource("circle",h.circle,l.cluster),r=0;r")}}t.exports={hoverPoints:function(t,e,r,a){var o=n(t,e,r,a);if(o&&!1!==o[0].index){var s=o[0];if(void 0===s.index)return o;var l=t.subplot,u=s.cd[s.index],c=s.trace;if(l.isPtInside(u))return s.xLabelVal=void 0,s.yLabelVal=void 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n=r(47128);t.exports=function(t,e){e.surfacecolor?n(t,e,{vals:e.surfacecolor,containerStr:"",cLetter:"c"}):n(t,e,{vals:e.z,containerStr:"",cLetter:"c"})}},79164:function(t,e,r){"use strict";var n=r(67792).gl_surface3d,i=r(67792).ndarray,a=r(67792).ndarray_linear_interpolate.d2,o=r(70448),s=r(11240),l=r(3400).isArrayOrTypedArray,u=r(33040).parseColorScale,c=r(43080),f=r(8932).extractOpts;function h(t,e,r){this.scene=t,this.uid=r,this.surface=e,this.data=null,this.showContour=[!1,!1,!1],this.contourStart=[null,null,null],this.contourEnd=[null,null,null],this.contourSize=[0,0,0],this.minValues=[1/0,1/0,1/0],this.maxValues=[-1/0,-1/0,-1/0],this.dataScaleX=1,this.dataScaleY=1,this.refineData=!0,this.objectOffset=[0,0,0]}var p=h.prototype;p.getXat=function(t,e,r,n){var i=l(this.data.x)?l(this.data.x[0])?this.data.x[e][t]:this.data.x[t]:t;return void 0===r?i:n.d2l(i,0,r)},p.getYat=function(t,e,r,n){var i=l(this.data.y)?l(this.data.y[0])?this.data.y[e][t]:this.data.y[e]:e;return void 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r=c(e.cells.values),o=function(t){return t.slice(e.header.values.length,t.length)},v=c(e.header.values);v.length&&!v[0].length&&(v[0]=[""],v=c(v));var g=v.concat(o(r).map((function(){return f((v[0]||[""]).length)}))),y=e.domain,m=Math.floor(t._fullLayout._size.w*(y.x[1]-y.x[0])),x=Math.floor(t._fullLayout._size.h*(y.y[1]-y.y[0])),b=e.header.values.length?g[0].map((function(){return e.header.height})):[n.emptyHeaderHeight],_=r.length?r[0].map((function(){return e.cells.height})):[],w=b.reduce(u,0),T=d(_,x-w+n.uplift),k=p(d(b,w),[]),A=p(T,k),M={},S=e._fullInput.columnorder;s(S)&&(S=Array.from(S)),S=S.concat(o(r.map((function(t,e){return e}))));var E=g.map((function(t,r){var n=s(e.columnwidth)?e.columnwidth[Math.min(r,e.columnwidth.length-1)]:e.columnwidth;return a(n)?Number(n):1})),L=E.reduce(u,0);E=E.map((function(t){return t/L*m}));var C=Math.max(l(e.header.line.width),l(e.cells.line.width)),P={key:e.uid+t._context.staticPlot,translateX:y.x[0]*t._fullLayout._size.w,translateY:t._fullLayout._size.h*(1-y.y[1]),size:t._fullLayout._size,width:m,maxLineWidth:C,height:x,columnOrder:S,groupHeight:x,rowBlocks:A,headerRowBlocks:k,scrollY:0,cells:i({},e.cells,{values:r}),headerCells:i({},e.header,{values:g}),gdColumns:g.map((function(t){return t[0]})),gdColumnsOriginalOrder:g.map((function(t){return t[0]})),prevPages:[0,0],scrollbarState:{scrollbarScrollInProgress:!1},columns:g.map((function(t,e){var r=M[t];return M[t]=(r||0)+1,{key:t+"__"+M[t],label:t,specIndex:e,xIndex:S[e],xScale:h,x:void 0,calcdata:void 0,columnWidth:E[e]}}))};return P.columns.forEach((function(t){t.calcdata=P,t.x=h(t)})),P}},53056:function(t,e,r){"use strict";var n=r(92880).extendFlat;e.splitToPanels=function(t){var e=[0,0],r=n({},t,{key:"header",type:"header",page:0,prevPages:e,currentRepaint:[null,null],dragHandle:!0,values:t.calcdata.headerCells.values[t.specIndex],rowBlocks:t.calcdata.headerRowBlocks,calcdata:n({},t.calcdata,{cells:t.calcdata.headerCells})});return[n({},t,{key:"cells1",type:"cells",page:0,prevPages:e,currentRepaint:[null,null],dragHandle:!1,values:t.calcdata.cells.values[t.specIndex],rowBlocks:t.calcdata.rowBlocks}),n({},t,{key:"cells2",type:"cells",page:1,prevPages:e,currentRepaint:[null,null],dragHandle:!1,values:t.calcdata.cells.values[t.specIndex],rowBlocks:t.calcdata.rowBlocks}),r]},e.splitToCells=function(t){var e=function(t){var e=t.rowBlocks[t.page],r=e?e.rows[0].rowIndex:0;return[r,e?r+e.rows.length:0]}(t);return(t.values||[]).slice(e[0],e[1]).map((function(r,n){return{keyWithinBlock:n+("string"==typeof r&&r.match(/[<$&> 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f,h,p=c?"":k(t.calcdata.cells.prefix,e,r)||"",d=c?"":k(t.calcdata.cells.suffix,e,r)||"",v=c?null:k(t.calcdata.cells.format,e,r)||null,g=p+(v?o(v)(t.value):t.value)+d;if(t.wrappingNeeded=!t.wrapped&&!l&&!c&&(f=T(g)),t.cellHeightMayIncrease=s||c||t.mayHaveMarkup||(void 0===f?T(g):f),t.needsConvertToTspans=t.mayHaveMarkup||t.wrappingNeeded||t.latex,t.wrappingNeeded){var y=(" "===n.wrapSplitCharacter?g.replace(/i&&n.push(a),i+=l}return n}(i,l,s);1===u.length&&(u[0]===i.length-1?u.unshift(u[0]-1):u.push(u[0]+1)),u[0]%2&&u.reverse(),e.each((function(t,e){t.page=u[e],t.scrollY=l})),e.attr("transform",(function(t){var e=R(t.rowBlocks,t.page)-t.scrollY;return f(0,e)})),t&&(P(t,r,e,u,n.prevPages,n,0),P(t,r,e,u,n.prevPages,n,1),b(r,t))}}function C(t,e,r,a){return function(o){var s=o.calcdata?o.calcdata:o,l=e.filter((function(t){return s.key===t.key})),u=r||s.scrollbarState.dragMultiplier,c=s.scrollY;s.scrollY=void 0===a?s.scrollY+u*i.event.dy:a;var 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t&&t>=0);var e=0|Math.ceil(t/26),r=t%26;this._expand(e),r>0&&e--;for(var i=0;i0&&(this.words[i]=~this.words[i]&67108863>>26-r),this.strip()},a.prototype.notn=function(t){return this.clone().inotn(t)},a.prototype.setn=function(t,e){n("number"==typeof t&&t>=0);var r=t/26|0,i=t%26;return this._expand(r+1),this.words[r]=e?this.words[r]|1<t.length?(r=this,n=t):(r=t,n=this);for(var i=0,a=0;a>>26;for(;0!==i&&a>>26;if(this.length=r.length,0!==i)this.words[this.length]=i,this.length++;else if(r!==this)for(;at.length?this.clone().iadd(t):t.clone().iadd(this)},a.prototype.isub=function(t){if(0!==t.negative){t.negative=0;var e=this.iadd(t);return t.negative=1,e._normSign()}if(0!==this.negative)return this.negative=0,this.iadd(t),this.negative=1,this._normSign();var r,n,i=this.cmp(t);if(0===i)return this.negative=0,this.length=1,this.words[0]=0,this;i>0?(r=this,n=t):(r=t,n=this);for(var 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yt=(u+(n=n+Math.imul(f,H)|0)|0)+((8191&(i=(i=i+Math.imul(f,G)|0)+Math.imul(h,H)|0))<<13)|0;u=((a=a+Math.imul(h,G)|0)+(i>>>13)|0)+(yt>>>26)|0,yt&=67108863,n=Math.imul(y,U),i=(i=Math.imul(y,V))+Math.imul(m,U)|0,a=Math.imul(m,V),n=n+Math.imul(d,H)|0,i=(i=i+Math.imul(d,G)|0)+Math.imul(v,H)|0,a=a+Math.imul(v,G)|0;var mt=(u+(n=n+Math.imul(f,Y)|0)|0)+((8191&(i=(i=i+Math.imul(f,X)|0)+Math.imul(h,Y)|0))<<13)|0;u=((a=a+Math.imul(h,X)|0)+(i>>>13)|0)+(mt>>>26)|0,mt&=67108863,n=Math.imul(b,U),i=(i=Math.imul(b,V))+Math.imul(_,U)|0,a=Math.imul(_,V),n=n+Math.imul(y,H)|0,i=(i=i+Math.imul(y,G)|0)+Math.imul(m,H)|0,a=a+Math.imul(m,G)|0,n=n+Math.imul(d,Y)|0,i=(i=i+Math.imul(d,X)|0)+Math.imul(v,Y)|0,a=a+Math.imul(v,X)|0;var xt=(u+(n=n+Math.imul(f,K)|0)|0)+((8191&(i=(i=i+Math.imul(f,J)|0)+Math.imul(h,K)|0))<<13)|0;u=((a=a+Math.imul(h,J)|0)+(i>>>13)|0)+(xt>>>26)|0,xt&=67108863,n=Math.imul(T,U),i=(i=Math.imul(T,V))+Math.imul(k,U)|0,a=Math.imul(k,V),n=n+Math.imul(b,H)|0,i=(i=i+Math.imul(b,G)|0)+Math.imul(_,H)|0,a=a+Math.imul(_,G)|0,n=n+Math.imul(y,Y)|0,i=(i=i+Math.imul(y,X)|0)+Math.imul(m,Y)|0,a=a+Math.imul(m,X)|0,n=n+Math.imul(d,K)|0,i=(i=i+Math.imul(d,J)|0)+Math.imul(v,K)|0,a=a+Math.imul(v,J)|0;var bt=(u+(n=n+Math.imul(f,Q)|0)|0)+((8191&(i=(i=i+Math.imul(f,tt)|0)+Math.imul(h,Q)|0))<<13)|0;u=((a=a+Math.imul(h,tt)|0)+(i>>>13)|0)+(bt>>>26)|0,bt&=67108863,n=Math.imul(M,U),i=(i=Math.imul(M,V))+Math.imul(S,U)|0,a=Math.imul(S,V),n=n+Math.imul(T,H)|0,i=(i=i+Math.imul(T,G)|0)+Math.imul(k,H)|0,a=a+Math.imul(k,G)|0,n=n+Math.imul(b,Y)|0,i=(i=i+Math.imul(b,X)|0)+Math.imul(_,Y)|0,a=a+Math.imul(_,X)|0,n=n+Math.imul(y,K)|0,i=(i=i+Math.imul(y,J)|0)+Math.imul(m,K)|0,a=a+Math.imul(m,J)|0,n=n+Math.imul(d,Q)|0,i=(i=i+Math.imul(d,tt)|0)+Math.imul(v,Q)|0,a=a+Math.imul(v,tt)|0;var _t=(u+(n=n+Math.imul(f,rt)|0)|0)+((8191&(i=(i=i+Math.imul(f,nt)|0)+Math.imul(h,rt)|0))<<13)|0;u=((a=a+Math.imul(h,nt)|0)+(i>>>13)|0)+(_t>>>26)|0,_t&=67108863,n=Math.imul(L,U),i=(i=Math.imul(L,V))+Math.imul(C,U)|0,a=Math.imul(C,V),n=n+Math.imul(M,H)|0,i=(i=i+Math.imul(M,G)|0)+Math.imul(S,H)|0,a=a+Math.imul(S,G)|0,n=n+Math.imul(T,Y)|0,i=(i=i+Math.imul(T,X)|0)+Math.imul(k,Y)|0,a=a+Math.imul(k,X)|0,n=n+Math.imul(b,K)|0,i=(i=i+Math.imul(b,J)|0)+Math.imul(_,K)|0,a=a+Math.imul(_,J)|0,n=n+Math.imul(y,Q)|0,i=(i=i+Math.imul(y,tt)|0)+Math.imul(m,Q)|0,a=a+Math.imul(m,tt)|0,n=n+Math.imul(d,rt)|0,i=(i=i+Math.imul(d,nt)|0)+Math.imul(v,rt)|0,a=a+Math.imul(v,nt)|0;var wt=(u+(n=n+Math.imul(f,at)|0)|0)+((8191&(i=(i=i+Math.imul(f,ot)|0)+Math.imul(h,at)|0))<<13)|0;u=((a=a+Math.imul(h,ot)|0)+(i>>>13)|0)+(wt>>>26)|0,wt&=67108863,n=Math.imul(O,U),i=(i=Math.imul(O,V))+Math.imul(I,U)|0,a=Math.imul(I,V),n=n+Math.imul(L,H)|0,i=(i=i+Math.imul(L,G)|0)+Math.imul(C,H)|0,a=a+Math.imul(C,G)|0,n=n+Math.imul(M,Y)|0,i=(i=i+Math.imul(M,X)|0)+Math.imul(S,Y)|0,a=a+Math.imul(S,X)|0,n=n+Math.imul(T,K)|0,i=(i=i+Math.imul(T,J)|0)+Math.imul(k,K)|0,a=a+Math.imul(k,J)|0,n=n+Math.imul(b,Q)|0,i=(i=i+Math.imul(b,tt)|0)+Math.imul(_,Q)|0,a=a+Math.imul(_,tt)|0,n=n+Math.imul(y,rt)|0,i=(i=i+Math.imul(y,nt)|0)+Math.imul(m,rt)|0,a=a+Math.imul(m,nt)|0,n=n+Math.imul(d,at)|0,i=(i=i+Math.imul(d,ot)|0)+Math.imul(v,at)|0,a=a+Math.imul(v,ot)|0;var Tt=(u+(n=n+Math.imul(f,lt)|0)|0)+((8191&(i=(i=i+Math.imul(f,ut)|0)+Math.imul(h,lt)|0))<<13)|0;u=((a=a+Math.imul(h,ut)|0)+(i>>>13)|0)+(Tt>>>26)|0,Tt&=67108863,n=Math.imul(z,U),i=(i=Math.imul(z,V))+Math.imul(R,U)|0,a=Math.imul(R,V),n=n+Math.imul(O,H)|0,i=(i=i+Math.imul(O,G)|0)+Math.imul(I,H)|0,a=a+Math.imul(I,G)|0,n=n+Math.imul(L,Y)|0,i=(i=i+Math.imul(L,X)|0)+Math.imul(C,Y)|0,a=a+Math.imul(C,X)|0,n=n+Math.imul(M,K)|0,i=(i=i+Math.imul(M,J)|0)+Math.imul(S,K)|0,a=a+Math.imul(S,J)|0,n=n+Math.imul(T,Q)|0,i=(i=i+Math.imul(T,tt)|0)+Math.imul(k,Q)|0,a=a+Math.imul(k,tt)|0,n=n+Math.imul(b,rt)|0,i=(i=i+Math.imul(b,nt)|0)+Math.imul(_,rt)|0,a=a+Math.imul(_,nt)|0,n=n+Math.imul(y,at)|0,i=(i=i+Math.imul(y,ot)|0)+Math.imul(m,at)|0,a=a+Math.imul(m,ot)|0,n=n+Math.imul(d,lt)|0,i=(i=i+Math.imul(d,ut)|0)+Math.imul(v,lt)|0,a=a+Math.imul(v,ut)|0;var kt=(u+(n=n+Math.imul(f,ft)|0)|0)+((8191&(i=(i=i+Math.imul(f,ht)|0)+Math.imul(h,ft)|0))<<13)|0;u=((a=a+Math.imul(h,ht)|0)+(i>>>13)|0)+(kt>>>26)|0,kt&=67108863,n=Math.imul(B,U),i=(i=Math.imul(B,V))+Math.imul(N,U)|0,a=Math.imul(N,V),n=n+Math.imul(z,H)|0,i=(i=i+Math.imul(z,G)|0)+Math.imul(R,H)|0,a=a+Math.imul(R,G)|0,n=n+Math.imul(O,Y)|0,i=(i=i+Math.imul(O,X)|0)+Math.imul(I,Y)|0,a=a+Math.imul(I,X)|0,n=n+Math.imul(L,K)|0,i=(i=i+Math.imul(L,J)|0)+Math.imul(C,K)|0,a=a+Math.imul(C,J)|0,n=n+Math.imul(M,Q)|0,i=(i=i+Math.imul(M,tt)|0)+Math.imul(S,Q)|0,a=a+Math.imul(S,tt)|0,n=n+Math.imul(T,rt)|0,i=(i=i+Math.imul(T,nt)|0)+Math.imul(k,rt)|0,a=a+Math.imul(k,nt)|0,n=n+Math.imul(b,at)|0,i=(i=i+Math.imul(b,ot)|0)+Math.imul(_,at)|0,a=a+Math.imul(_,ot)|0,n=n+Math.imul(y,lt)|0,i=(i=i+Math.imul(y,ut)|0)+Math.imul(m,lt)|0,a=a+Math.imul(m,ut)|0,n=n+Math.imul(d,ft)|0,i=(i=i+Math.imul(d,ht)|0)+Math.imul(v,ft)|0,a=a+Math.imul(v,ht)|0;var At=(u+(n=n+Math.imul(f,dt)|0)|0)+((8191&(i=(i=i+Math.imul(f,vt)|0)+Math.imul(h,dt)|0))<<13)|0;u=((a=a+Math.imul(h,vt)|0)+(i>>>13)|0)+(At>>>26)|0,At&=67108863,n=Math.imul(B,H),i=(i=Math.imul(B,G))+Math.imul(N,H)|0,a=Math.imul(N,G),n=n+Math.imul(z,Y)|0,i=(i=i+Math.imul(z,X)|0)+Math.imul(R,Y)|0,a=a+Math.imul(R,X)|0,n=n+Math.imul(O,K)|0,i=(i=i+Math.imul(O,J)|0)+Math.imul(I,K)|0,a=a+Math.imul(I,J)|0,n=n+Math.imul(L,Q)|0,i=(i=i+Math.imul(L,tt)|0)+Math.imul(C,Q)|0,a=a+Math.imul(C,tt)|0,n=n+Math.imul(M,rt)|0,i=(i=i+Math.imul(M,nt)|0)+Math.imul(S,rt)|0,a=a+Math.imul(S,nt)|0,n=n+Math.imul(T,at)|0,i=(i=i+Math.imul(T,ot)|0)+Math.imul(k,at)|0,a=a+Math.imul(k,ot)|0,n=n+Math.imul(b,lt)|0,i=(i=i+Math.imul(b,ut)|0)+Math.imul(_,lt)|0,a=a+Math.imul(_,ut)|0,n=n+Math.imul(y,ft)|0,i=(i=i+Math.imul(y,ht)|0)+Math.imul(m,ft)|0,a=a+Math.imul(m,ht)|0;var Mt=(u+(n=n+Math.imul(d,dt)|0)|0)+((8191&(i=(i=i+Math.imul(d,vt)|0)+Math.imul(v,dt)|0))<<13)|0;u=((a=a+Math.imul(v,vt)|0)+(i>>>13)|0)+(Mt>>>26)|0,Mt&=67108863,n=Math.imul(B,Y),i=(i=Math.imul(B,X))+Math.imul(N,Y)|0,a=Math.imul(N,X),n=n+Math.imul(z,K)|0,i=(i=i+Math.imul(z,J)|0)+Math.imul(R,K)|0,a=a+Math.imul(R,J)|0,n=n+Math.imul(O,Q)|0,i=(i=i+Math.imul(O,tt)|0)+Math.imul(I,Q)|0,a=a+Math.imul(I,tt)|0,n=n+Math.imul(L,rt)|0,i=(i=i+Math.imul(L,nt)|0)+Math.imul(C,rt)|0,a=a+Math.imul(C,nt)|0,n=n+Math.imul(M,at)|0,i=(i=i+Math.imul(M,ot)|0)+Math.imul(S,at)|0,a=a+Math.imul(S,ot)|0,n=n+Math.imul(T,lt)|0,i=(i=i+Math.imul(T,ut)|0)+Math.imul(k,lt)|0,a=a+Math.imul(k,ut)|0,n=n+Math.imul(b,ft)|0,i=(i=i+Math.imul(b,ht)|0)+Math.imul(_,ft)|0,a=a+Math.imul(_,ht)|0;var St=(u+(n=n+Math.imul(y,dt)|0)|0)+((8191&(i=(i=i+Math.imul(y,vt)|0)+Math.imul(m,dt)|0))<<13)|0;u=((a=a+Math.imul(m,vt)|0)+(i>>>13)|0)+(St>>>26)|0,St&=67108863,n=Math.imul(B,K),i=(i=Math.imul(B,J))+Math.imul(N,K)|0,a=Math.imul(N,J),n=n+Math.imul(z,Q)|0,i=(i=i+Math.imul(z,tt)|0)+Math.imul(R,Q)|0,a=a+Math.imul(R,tt)|0,n=n+Math.imul(O,rt)|0,i=(i=i+Math.imul(O,nt)|0)+Math.imul(I,rt)|0,a=a+Math.imul(I,nt)|0,n=n+Math.imul(L,at)|0,i=(i=i+Math.imul(L,ot)|0)+Math.imul(C,at)|0,a=a+Math.imul(C,ot)|0,n=n+Math.imul(M,lt)|0,i=(i=i+Math.imul(M,ut)|0)+Math.imul(S,lt)|0,a=a+Math.imul(S,ut)|0,n=n+Math.imul(T,ft)|0,i=(i=i+Math.imul(T,ht)|0)+Math.imul(k,ft)|0,a=a+Math.imul(k,ht)|0;var Et=(u+(n=n+Math.imul(b,dt)|0)|0)+((8191&(i=(i=i+Math.imul(b,vt)|0)+Math.imul(_,dt)|0))<<13)|0;u=((a=a+Math.imul(_,vt)|0)+(i>>>13)|0)+(Et>>>26)|0,Et&=67108863,n=Math.imul(B,Q),i=(i=Math.imul(B,tt))+Math.imul(N,Q)|0,a=Math.imul(N,tt),n=n+Math.imul(z,rt)|0,i=(i=i+Math.imul(z,nt)|0)+Math.imul(R,rt)|0,a=a+Math.imul(R,nt)|0,n=n+Math.imul(O,at)|0,i=(i=i+Math.imul(O,ot)|0)+Math.imul(I,at)|0,a=a+Math.imul(I,ot)|0,n=n+Math.imul(L,lt)|0,i=(i=i+Math.imul(L,ut)|0)+Math.imul(C,lt)|0,a=a+Math.imul(C,ut)|0,n=n+Math.imul(M,ft)|0,i=(i=i+Math.imul(M,ht)|0)+Math.imul(S,ft)|0,a=a+Math.imul(S,ht)|0;var Lt=(u+(n=n+Math.imul(T,dt)|0)|0)+((8191&(i=(i=i+Math.imul(T,vt)|0)+Math.imul(k,dt)|0))<<13)|0;u=((a=a+Math.imul(k,vt)|0)+(i>>>13)|0)+(Lt>>>26)|0,Lt&=67108863,n=Math.imul(B,rt),i=(i=Math.imul(B,nt))+Math.imul(N,rt)|0,a=Math.imul(N,nt),n=n+Math.imul(z,at)|0,i=(i=i+Math.imul(z,ot)|0)+Math.imul(R,at)|0,a=a+Math.imul(R,ot)|0,n=n+Math.imul(O,lt)|0,i=(i=i+Math.imul(O,ut)|0)+Math.imul(I,lt)|0,a=a+Math.imul(I,ut)|0,n=n+Math.imul(L,ft)|0,i=(i=i+Math.imul(L,ht)|0)+Math.imul(C,ft)|0,a=a+Math.imul(C,ht)|0;var Ct=(u+(n=n+Math.imul(M,dt)|0)|0)+((8191&(i=(i=i+Math.imul(M,vt)|0)+Math.imul(S,dt)|0))<<13)|0;u=((a=a+Math.imul(S,vt)|0)+(i>>>13)|0)+(Ct>>>26)|0,Ct&=67108863,n=Math.imul(B,at),i=(i=Math.imul(B,ot))+Math.imul(N,at)|0,a=Math.imul(N,ot),n=n+Math.imul(z,lt)|0,i=(i=i+Math.imul(z,ut)|0)+Math.imul(R,lt)|0,a=a+Math.imul(R,ut)|0,n=n+Math.imul(O,ft)|0,i=(i=i+Math.imul(O,ht)|0)+Math.imul(I,ft)|0,a=a+Math.imul(I,ht)|0;var Pt=(u+(n=n+Math.imul(L,dt)|0)|0)+((8191&(i=(i=i+Math.imul(L,vt)|0)+Math.imul(C,dt)|0))<<13)|0;u=((a=a+Math.imul(C,vt)|0)+(i>>>13)|0)+(Pt>>>26)|0,Pt&=67108863,n=Math.imul(B,lt),i=(i=Math.imul(B,ut))+Math.imul(N,lt)|0,a=Math.imul(N,ut),n=n+Math.imul(z,ft)|0,i=(i=i+Math.imul(z,ht)|0)+Math.imul(R,ft)|0,a=a+Math.imul(R,ht)|0;var Ot=(u+(n=n+Math.imul(O,dt)|0)|0)+((8191&(i=(i=i+Math.imul(O,vt)|0)+Math.imul(I,dt)|0))<<13)|0;u=((a=a+Math.imul(I,vt)|0)+(i>>>13)|0)+(Ot>>>26)|0,Ot&=67108863,n=Math.imul(B,ft),i=(i=Math.imul(B,ht))+Math.imul(N,ft)|0,a=Math.imul(N,ht);var It=(u+(n=n+Math.imul(z,dt)|0)|0)+((8191&(i=(i=i+Math.imul(z,vt)|0)+Math.imul(R,dt)|0))<<13)|0;u=((a=a+Math.imul(R,vt)|0)+(i>>>13)|0)+(It>>>26)|0,It&=67108863;var Dt=(u+(n=Math.imul(B,dt))|0)+((8191&(i=(i=Math.imul(B,vt))+Math.imul(N,dt)|0))<<13)|0;return u=((a=Math.imul(N,vt))+(i>>>13)|0)+(Dt>>>26)|0,Dt&=67108863,l[0]=gt,l[1]=yt,l[2]=mt,l[3]=xt,l[4]=bt,l[5]=_t,l[6]=wt,l[7]=Tt,l[8]=kt,l[9]=At,l[10]=Mt,l[11]=St,l[12]=Et,l[13]=Lt,l[14]=Ct,l[15]=Pt,l[16]=Ot,l[17]=It,l[18]=Dt,0!==u&&(l[19]=u,r.length++),r};function v(t,e,r){return(new g).mulp(t,e,r)}function g(t,e){this.x=t,this.y=e}Math.imul||(d=p),a.prototype.mulTo=function(t,e){var r,n=this.length+t.length;return r=10===this.length&&10===t.length?d(this,t,e):n<63?p(this,t,e):n<1024?function(t,e,r){r.negative=e.negative^t.negative,r.length=t.length+e.length;for(var n=0,i=0,a=0;a>>26)|0)>>>26,o&=67108863}r.words[a]=s,n=o,o=i}return 0!==n?r.words[a]=n:r.length--,r.strip()}(this,t,e):v(this,t,e),r},g.prototype.makeRBT=function(t){for(var e=new Array(t),r=a.prototype._countBits(t)-1,n=0;n>=1;return n},g.prototype.permute=function(t,e,r,n,i,a){for(var o=0;o>>=1)i++;return 1<>>=13,r[2*o+1]=8191&a,a>>>=13;for(o=2*e;o>=26,e+=i/67108864|0,e+=a>>>26,this.words[r]=67108863&a}return 0!==e&&(this.words[r]=e,this.length++),this},a.prototype.muln=function(t){return this.clone().imuln(t)},a.prototype.sqr=function(){return this.mul(this)},a.prototype.isqr=function(){return this.imul(this.clone())},a.prototype.pow=function(t){var e=function(t){for(var e=new Array(t.bitLength()),r=0;r>>i}return e}(t);if(0===e.length)return new a(1);for(var r=this,n=0;n=0);var e,r=t%26,i=(t-r)/26,a=67108863>>>26-r<<26-r;if(0!==r){var o=0;for(e=0;e>>26-r}o&&(this.words[e]=o,this.length++)}if(0!==i){for(e=this.length-1;e>=0;e--)this.words[e+i]=this.words[e];for(e=0;e=0),i=e?(e-e%26)/26:0;var a=t%26,o=Math.min((t-a)/26,this.length),s=67108863^67108863>>>a<o)for(this.length-=o,u=0;u=0&&(0!==c||u>=i);u--){var f=0|this.words[u];this.words[u]=c<<26-a|f>>>a,c=f&s}return l&&0!==c&&(l.words[l.length++]=c),0===this.length&&(this.words[0]=0,this.length=1),this.strip()},a.prototype.ishrn=function(t,e,r){return n(0===this.negative),this.iushrn(t,e,r)},a.prototype.shln=function(t){return this.clone().ishln(t)},a.prototype.ushln=function(t){return this.clone().iushln(t)},a.prototype.shrn=function(t){return this.clone().ishrn(t)},a.prototype.ushrn=function(t){return this.clone().iushrn(t)},a.prototype.testn=function(t){n("number"==typeof t&&t>=0);var e=t%26,r=(t-e)/26,i=1<=0);var e=t%26,r=(t-e)/26;if(n(0===this.negative,"imaskn works only with positive numbers"),this.length<=r)return this;if(0!==e&&r++,this.length=Math.min(r,this.length),0!==e){var i=67108863^67108863>>>e<=67108864;e++)this.words[e]-=67108864,e===this.length-1?this.words[e+1]=1:this.words[e+1]++;return this.length=Math.max(this.length,e+1),this},a.prototype.isubn=function(t){if(n("number"==typeof t),n(t<67108864),t<0)return this.iaddn(-t);if(0!==this.negative)return this.negative=0,this.iaddn(t),this.negative=1,this;if(this.words[0]-=t,1===this.length&&this.words[0]<0)this.words[0]=-this.words[0],this.negative=1;else for(var e=0;e>26)-(l/67108864|0),this.words[i+r]=67108863&a}for(;i>26,this.words[i+r]=67108863&a;if(0===s)return this.strip();for(n(-1===s),s=0,i=0;i>26,this.words[i]=67108863&a;return this.negative=1,this.strip()},a.prototype._wordDiv=function(t,e){var r=(this.length,t.length),n=this.clone(),i=t,o=0|i.words[i.length-1];0!=(r=26-this._countBits(o))&&(i=i.ushln(r),n.iushln(r),o=0|i.words[i.length-1]);var s,l=n.length-i.length;if("mod"!==e){(s=new a(null)).length=l+1,s.words=new Array(s.length);for(var u=0;u=0;f--){var h=67108864*(0|n.words[i.length+f])+(0|n.words[i.length+f-1]);for(h=Math.min(h/o|0,67108863),n._ishlnsubmul(i,h,f);0!==n.negative;)h--,n.negative=0,n._ishlnsubmul(i,1,f),n.isZero()||(n.negative^=1);s&&(s.words[f]=h)}return s&&s.strip(),n.strip(),"div"!==e&&0!==r&&n.iushrn(r),{div:s||null,mod:n}},a.prototype.divmod=function(t,e,r){return n(!t.isZero()),this.isZero()?{div:new a(0),mod:new a(0)}:0!==this.negative&&0===t.negative?(s=this.neg().divmod(t,e),"mod"!==e&&(i=s.div.neg()),"div"!==e&&(o=s.mod.neg(),r&&0!==o.negative&&o.iadd(t)),{div:i,mod:o}):0===this.negative&&0!==t.negative?(s=this.divmod(t.neg(),e),"mod"!==e&&(i=s.div.neg()),{div:i,mod:s.mod}):0!=(this.negative&t.negative)?(s=this.neg().divmod(t.neg(),e),"div"!==e&&(o=s.mod.neg(),r&&0!==o.negative&&o.isub(t)),{div:s.div,mod:o}):t.length>this.length||this.cmp(t)<0?{div:new a(0),mod:this}:1===t.length?"div"===e?{div:this.divn(t.words[0]),mod:null}:"mod"===e?{div:null,mod:new a(this.modn(t.words[0]))}:{div:this.divn(t.words[0]),mod:new a(this.modn(t.words[0]))}:this._wordDiv(t,e);var i,o,s},a.prototype.div=function(t){return this.divmod(t,"div",!1).div},a.prototype.mod=function(t){return this.divmod(t,"mod",!1).mod},a.prototype.umod=function(t){return this.divmod(t,"mod",!0).mod},a.prototype.divRound=function(t){var e=this.divmod(t);if(e.mod.isZero())return e.div;var r=0!==e.div.negative?e.mod.isub(t):e.mod,n=t.ushrn(1),i=t.andln(1),a=r.cmp(n);return a<0||1===i&&0===a?e.div:0!==e.div.negative?e.div.isubn(1):e.div.iaddn(1)},a.prototype.modn=function(t){n(t<=67108863);for(var e=(1<<26)%t,r=0,i=this.length-1;i>=0;i--)r=(e*r+(0|this.words[i]))%t;return r},a.prototype.idivn=function(t){n(t<=67108863);for(var e=0,r=this.length-1;r>=0;r--){var i=(0|this.words[r])+67108864*e;this.words[r]=i/t|0,e=i%t}return this.strip()},a.prototype.divn=function(t){return this.clone().idivn(t)},a.prototype.egcd=function(t){n(0===t.negative),n(!t.isZero());var e=this,r=t.clone();e=0!==e.negative?e.umod(t):e.clone();for(var i=new a(1),o=new a(0),s=new a(0),l=new a(1),u=0;e.isEven()&&r.isEven();)e.iushrn(1),r.iushrn(1),++u;for(var c=r.clone(),f=e.clone();!e.isZero();){for(var h=0,p=1;0==(e.words[0]&p)&&h<26;++h,p<<=1);if(h>0)for(e.iushrn(h);h-- >0;)(i.isOdd()||o.isOdd())&&(i.iadd(c),o.isub(f)),i.iushrn(1),o.iushrn(1);for(var d=0,v=1;0==(r.words[0]&v)&&d<26;++d,v<<=1);if(d>0)for(r.iushrn(d);d-- >0;)(s.isOdd()||l.isOdd())&&(s.iadd(c),l.isub(f)),s.iushrn(1),l.iushrn(1);e.cmp(r)>=0?(e.isub(r),i.isub(s),o.isub(l)):(r.isub(e),s.isub(i),l.isub(o))}return{a:s,b:l,gcd:r.iushln(u)}},a.prototype._invmp=function(t){n(0===t.negative),n(!t.isZero());var e=this,r=t.clone();e=0!==e.negative?e.umod(t):e.clone();for(var i,o=new a(1),s=new a(0),l=r.clone();e.cmpn(1)>0&&r.cmpn(1)>0;){for(var u=0,c=1;0==(e.words[0]&c)&&u<26;++u,c<<=1);if(u>0)for(e.iushrn(u);u-- >0;)o.isOdd()&&o.iadd(l),o.iushrn(1);for(var f=0,h=1;0==(r.words[0]&h)&&f<26;++f,h<<=1);if(f>0)for(r.iushrn(f);f-- >0;)s.isOdd()&&s.iadd(l),s.iushrn(1);e.cmp(r)>=0?(e.isub(r),o.isub(s)):(r.isub(e),s.isub(o))}return(i=0===e.cmpn(1)?o:s).cmpn(0)<0&&i.iadd(t),i},a.prototype.gcd=function(t){if(this.isZero())return t.abs();if(t.isZero())return this.abs();var e=this.clone(),r=t.clone();e.negative=0,r.negative=0;for(var n=0;e.isEven()&&r.isEven();n++)e.iushrn(1),r.iushrn(1);for(;;){for(;e.isEven();)e.iushrn(1);for(;r.isEven();)r.iushrn(1);var i=e.cmp(r);if(i<0){var a=e;e=r,r=a}else if(0===i||0===r.cmpn(1))break;e.isub(r)}return r.iushln(n)},a.prototype.invm=function(t){return this.egcd(t).a.umod(t)},a.prototype.isEven=function(){return 0==(1&this.words[0])},a.prototype.isOdd=function(){return 1==(1&this.words[0])},a.prototype.andln=function(t){return this.words[0]&t},a.prototype.bincn=function(t){n("number"==typeof t);var e=t%26,r=(t-e)/26,i=1<>>26,s&=67108863,this.words[o]=s}return 0!==a&&(this.words[o]=a,this.length++),this},a.prototype.isZero=function(){return 1===this.length&&0===this.words[0]},a.prototype.cmpn=function(t){var e,r=t<0;if(0!==this.negative&&!r)return-1;if(0===this.negative&&r)return 1;if(this.strip(),this.length>1)e=1;else{r&&(t=-t),n(t<=67108863,"Number is too big");var i=0|this.words[0];e=i===t?0:it.length)return 1;if(this.length=0;r--){var n=0|this.words[r],i=0|t.words[r];if(n!==i){ni&&(e=1);break}}return e},a.prototype.gtn=function(t){return 1===this.cmpn(t)},a.prototype.gt=function(t){return 1===this.cmp(t)},a.prototype.gten=function(t){return this.cmpn(t)>=0},a.prototype.gte=function(t){return this.cmp(t)>=0},a.prototype.ltn=function(t){return-1===this.cmpn(t)},a.prototype.lt=function(t){return-1===this.cmp(t)},a.prototype.lten=function(t){return this.cmpn(t)<=0},a.prototype.lte=function(t){return this.cmp(t)<=0},a.prototype.eqn=function(t){return 0===this.cmpn(t)},a.prototype.eq=function(t){return 0===this.cmp(t)},a.red=function(t){return new T(t)},a.prototype.toRed=function(t){return n(!this.red,"Already a number in reduction context"),n(0===this.negative,"red works only with positives"),t.convertTo(this)._forceRed(t)},a.prototype.fromRed=function(){return n(this.red,"fromRed works only with numbers in reduction context"),this.red.convertFrom(this)},a.prototype._forceRed=function(t){return this.red=t,this},a.prototype.forceRed=function(t){return n(!this.red,"Already a number in reduction context"),this._forceRed(t)},a.prototype.redAdd=function(t){return n(this.red,"redAdd works only with red numbers"),this.red.add(this,t)},a.prototype.redIAdd=function(t){return n(this.red,"redIAdd works only with red numbers"),this.red.iadd(this,t)},a.prototype.redSub=function(t){return n(this.red,"redSub works only with red numbers"),this.red.sub(this,t)},a.prototype.redISub=function(t){return n(this.red,"redISub works only with red numbers"),this.red.isub(this,t)},a.prototype.redShl=function(t){return n(this.red,"redShl works only with red numbers"),this.red.shl(this,t)},a.prototype.redMul=function(t){return n(this.red,"redMul works only with red numbers"),this.red._verify2(this,t),this.red.mul(this,t)},a.prototype.redIMul=function(t){return n(this.red,"redMul works only with red numbers"),this.red._verify2(this,t),this.red.imul(this,t)},a.prototype.redSqr=function(){return n(this.red,"redSqr works only with red numbers"),this.red._verify1(this),this.red.sqr(this)},a.prototype.redISqr=function(){return n(this.red,"redISqr works only with red numbers"),this.red._verify1(this),this.red.isqr(this)},a.prototype.redSqrt=function(){return n(this.red,"redSqrt works only with red numbers"),this.red._verify1(this),this.red.sqrt(this)},a.prototype.redInvm=function(){return n(this.red,"redInvm works only with red numbers"),this.red._verify1(this),this.red.invm(this)},a.prototype.redNeg=function(){return n(this.red,"redNeg works only with red numbers"),this.red._verify1(this),this.red.neg(this)},a.prototype.redPow=function(t){return n(this.red&&!t.red,"redPow(normalNum)"),this.red._verify1(this),this.red.pow(this,t)};var y={k256:null,p224:null,p192:null,p25519:null};function m(t,e){this.name=t,this.p=new a(e,16),this.n=this.p.bitLength(),this.k=new a(1).iushln(this.n).isub(this.p),this.tmp=this._tmp()}function x(){m.call(this,"k256","ffffffff ffffffff ffffffff ffffffff ffffffff ffffffff fffffffe fffffc2f")}function b(){m.call(this,"p224","ffffffff ffffffff ffffffff ffffffff 00000000 00000000 00000001")}function _(){m.call(this,"p192","ffffffff ffffffff ffffffff fffffffe ffffffff ffffffff")}function w(){m.call(this,"25519","7fffffffffffffff ffffffffffffffff ffffffffffffffff ffffffffffffffed")}function T(t){if("string"==typeof t){var e=a._prime(t);this.m=e.p,this.prime=e}else n(t.gtn(1),"modulus must be greater than 1"),this.m=t,this.prime=null}function k(t){T.call(this,t),this.shift=this.m.bitLength(),this.shift%26!=0&&(this.shift+=26-this.shift%26),this.r=new a(1).iushln(this.shift),this.r2=this.imod(this.r.sqr()),this.rinv=this.r._invmp(this.m),this.minv=this.rinv.mul(this.r).isubn(1).div(this.m),this.minv=this.minv.umod(this.r),this.minv=this.r.sub(this.minv)}m.prototype._tmp=function(){var t=new a(null);return t.words=new Array(Math.ceil(this.n/13)),t},m.prototype.ireduce=function(t){var 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v=l("labels");l("labelFont")&&(v=!0),o("labelEnable"),a("labelSize"),a("labelPad"),u("labelColor"),o("lineEnable"),o("lineMirror"),a("lineWidth"),u("lineColor"),o("lineTickEnable"),o("lineTickMirror"),a("lineTickLength"),a("lineTickWidth"),u("lineTickColor"),o("gridEnable"),a("gridWidth"),u("gridColor"),o("zeroEnable"),u("zeroLineColor"),a("zeroLineWidth"),o("backgroundEnable"),u("backgroundColor"),this._text?this._text&&(v||c)&&this._text.update(this.bounds,this.labels,this.labelFont,this.ticks,this.tickFont):this._text=n(this.gl,this.bounds,this.labels,this.labelFont,this.ticks,this.tickFont),this._lines&&c&&(this._lines.dispose(),this._lines=null),this._lines||(this._lines=i(this.gl,this.bounds,this.ticks))};var p=[new h,new h,new h];function d(t,e,r,n,i){for(var a=t.primalOffset,o=t.primalMinor,s=t.mirrorOffset,l=t.mirrorMinor,u=n[e],c=0;c<3;++c)if(e!==c){var f=a,h=s,p=o,d=l;u&1<0?(p[c]=-1,d[c]=0):(p[c]=0,d[c]=1)}}var v=[0,0,0],g={model:l,view:l,projection:l,_ortho:!1};f.isOpaque=function(){return!0},f.isTransparent=function(){return!1},f.drawTransparent=function(t){};var y=[0,0,0],m=[0,0,0],x=[0,0,0];f.draw=function(t){t=t||g;for(var e=this.gl,r=t.model||l,n=t.view||l,i=t.projection||l,a=this.bounds,s=t._ortho||!1,c=o(r,n,i,a,s),f=c.cubeEdges,h=c.axis,b=n[12],_=n[13],w=n[14],T=n[15],k=(s?2:1)*this.pixelRatio*(i[3]*b+i[7]*_+i[11]*w+i[15]*T)/e.drawingBufferHeight,A=0;A<3;++A)this.lastCubeProps.cubeEdges[A]=f[A],this.lastCubeProps.axis[A]=h[A];var M=p;for(A=0;A<3;++A)d(p[A],A,this.bounds,f,h);e=this.gl;var S,E,L,C=v;for(A=0;A<3;++A)this.backgroundEnable[A]?C[A]=h[A]:C[A]=0;for(this._background.draw(r,n,i,a,C,this.backgroundColor),this._lines.bind(r,n,i,this),A=0;A<3;++A){var P=[0,0,0];h[A]>0?P[A]=a[1][A]:P[A]=a[0][A];for(var O=0;O<2;++O){var I=(A+1+O)%3,D=(A+1+(1^O))%3;this.gridEnable[I]&&this._lines.drawGrid(I,D,this.bounds,P,this.gridColor[I],this.gridWidth[I]*this.pixelRatio)}for(O=0;O<2;++O)I=(A+1+O)%3,D=(A+1+(1^O))%3,this.zeroEnable[D]&&Math.min(a[0][D],a[1][D])<=0&&Math.max(a[0][D],a[1][D])>=0&&this._lines.drawZero(I,D,this.bounds,P,this.zeroLineColor[D],this.zeroLineWidth[D]*this.pixelRatio)}for(A=0;A<3;++A){this.lineEnable[A]&&this._lines.drawAxisLine(A,this.bounds,M[A].primalOffset,this.lineColor[A],this.lineWidth[A]*this.pixelRatio),this.lineMirror[A]&&this._lines.drawAxisLine(A,this.bounds,M[A].mirrorOffset,this.lineColor[A],this.lineWidth[A]*this.pixelRatio);var z=u(y,M[A].primalMinor),R=u(m,M[A].mirrorMinor),F=this.lineTickLength;for(O=0;O<3;++O){var B=k/r[5*O];z[O]*=F[O]*B,R[O]*=F[O]*B}this.lineTickEnable[A]&&this._lines.drawAxisTicks(A,M[A].primalOffset,z,this.lineTickColor[A],this.lineTickWidth[A]*this.pixelRatio),this.lineTickMirror[A]&&this._lines.drawAxisTicks(A,M[A].mirrorOffset,R,this.lineTickColor[A],this.lineTickWidth[A]*this.pixelRatio)}function N(t){(L=[0,0,0])[t]=1}function j(t,e,r){var n=(t+1)%3,i=(t+2)%3,a=e[n],o=e[i],s=r[n],l=r[i];a>0&&l>0||a>0&&l<0||a<0&&l>0||a<0&&l<0?N(n):(o>0&&s>0||o>0&&s<0||o<0&&s>0||o<0&&s<0)&&N(i)}for(this._lines.unbind(),this._text.bind(r,n,i,this.pixelRatio),A=0;A<3;++A){var U=M[A].primalMinor,V=M[A].mirrorMinor,q=u(x,M[A].primalOffset);for(O=0;O<3;++O)this.lineTickEnable[A]&&(q[O]+=k*U[O]*Math.max(this.lineTickLength[O],0)/r[5*O]);var H=[0,0,0];if(H[A]=1,this.tickEnable[A]){for(-3600===this.tickAngle[A]?(this.tickAngle[A]=0,this.tickAlign[A]="auto"):this.tickAlign[A]=-1,E=1,"auto"===(S=[this.tickAlign[A],.5,E])[0]?S[0]=0:S[0]=parseInt(""+S[0]),L=[0,0,0],j(A,U,V),O=0;O<3;++O)q[O]+=k*U[O]*this.tickPad[O]/r[5*O];this._text.drawTicks(A,this.tickSize[A],this.tickAngle[A],q,this.tickColor[A],H,L,S)}if(this.labelEnable[A]){for(E=0,L=[0,0,0],this.labels[A].length>4&&(N(A),E=1),"auto"===(S=[this.labelAlign[A],.5,E])[0]?S[0]=0:S[0]=parseInt(""+S[0]),O=0;O<3;++O)q[O]+=k*U[O]*this.labelPad[O]/r[5*O];q[A]+=.5*(a[0][A]+a[1][A]),this._text.drawLabel(A,this.labelSize[A],this.labelAngle[A],q,this.labelColor[A],[0,0,0],L,S)}}this._text.unbind()},f.dispose=function(){this._text.dispose(),this._lines.dispose(),this._background.dispose(),this._lines=null,this._text=null,this._background=null,this.gl=null}},1011:function(t,e,r){"use strict";t.exports=function(t){for(var e=[],r=[],s=0,l=0;l<3;++l)for(var u=(l+1)%3,c=(l+2)%3,f=[0,0,0],h=[0,0,0],p=-1;p<=1;p+=2){r.push(s,s+2,s+1,s+1,s+2,s+3),f[l]=p,h[l]=p;for(var d=-1;d<=1;d+=2){f[u]=d;for(var v=-1;v<=1;v+=2)f[c]=v,e.push(f[0],f[1],f[2],h[0],h[1],h[2]),s+=1}var g=u;u=c,c=g}var y=n(t,new Float32Array(e)),m=n(t,new Uint16Array(r),t.ELEMENT_ARRAY_BUFFER),x=i(t,[{buffer:y,type:t.FLOAT,size:3,offset:0,stride:24},{buffer:y,type:t.FLOAT,size:3,offset:12,stride:24}],m),b=a(t);return b.attributes.position.location=0,b.attributes.normal.location=1,new o(t,y,x,b)};var n=r(5827),i=r(2944),a=r(1943).bg;function o(t,e,r,n){this.gl=t,this.buffer=e,this.vao=r,this.shader=n}var s=o.prototype;s.draw=function(t,e,r,n,i,a){for(var o=!1,s=0;s<3;++s)o=o||i[s];if(o){var l=this.gl;l.enable(l.POLYGON_OFFSET_FILL),l.polygonOffset(1,2),this.shader.bind(),this.shader.uniforms={model:t,view:e,projection:r,bounds:n,enable:i,colors:a},this.vao.bind(),this.vao.draw(this.gl.TRIANGLES,36),this.vao.unbind(),l.disable(l.POLYGON_OFFSET_FILL)}},s.dispose=function(){this.vao.dispose(),this.buffer.dispose(),this.shader.dispose()}},2864:function(t,e,r){"use strict";t.exports=function(t,e,r,a,p){i(s,e,t),i(s,r,s);for(var m=0,x=0;x<2;++x){c[2]=a[x][2];for(var b=0;b<2;++b){c[1]=a[b][1];for(var _=0;_<2;++_)c[0]=a[_][0],h(l[m],c,s),m+=1}}var w=-1;for(x=0;x<8;++x){for(var T=l[x][3],k=0;k<3;++k)u[x][k]=l[x][k]/T;p&&(u[x][2]*=-1),T<0&&(w<0||u[x][2]E&&(w|=1<E&&(w|=1<u[x][1])&&(R=x);var F=-1;for(x=0;x<3;++x)(N=R^1<u[B][0]&&(B=N))}var j=v;j[0]=j[1]=j[2]=0,j[n.log2(F^R)]=R&F,j[n.log2(R^B)]=R&B;var U=7^B;U===w||U===z?(U=7^F,j[n.log2(B^U)]=U&B):j[n.log2(F^U)]=U&F;var V=g,q=w;for(A=0;A<3;++A)V[A]=q&1< HALF_PI) && (b <= ONE_AND_HALF_PI)) ?\n b - PI :\n b;\n}\n\nfloat look_horizontal_or_vertical(float a, float ratio) {\n // ratio controls the ratio between being horizontal to (vertical + horizontal)\n // if ratio is set to 0.5 then it is 50%, 50%.\n // when using a higher ratio e.g. 0.75 the result would\n // likely be more horizontal than vertical.\n\n float b = positive_angle(a);\n\n return\n (b < ( ratio) * HALF_PI) ? 0.0 :\n (b < (2.0 - ratio) * HALF_PI) ? -HALF_PI :\n (b < (2.0 + ratio) * HALF_PI) ? 0.0 :\n (b < (4.0 - ratio) * HALF_PI) ? HALF_PI :\n 0.0;\n}\n\nfloat roundTo(float a, float b) {\n return float(b * floor((a + 0.5 * b) / b));\n}\n\nfloat look_round_n_directions(float a, int n) {\n float b = positive_angle(a);\n float div = TWO_PI / float(n);\n float c = roundTo(b, div);\n return look_upwards(c);\n}\n\nfloat applyAlignOption(float rawAngle, float delta) {\n return\n (option > 2) ? look_round_n_directions(rawAngle + delta, option) : // option 3-n: round to n directions\n (option == 2) ? look_horizontal_or_vertical(rawAngle + delta, hv_ratio) : // horizontal or vertical\n (option == 1) ? rawAngle + delta : // use free angle, and flip to align with one direction of the axis\n (option == 0) ? look_upwards(rawAngle) : // use free angle, and stay upwards\n (option ==-1) ? 0.0 : // useful for backward compatibility, all texts remains horizontal\n rawAngle; // otherwise return back raw input angle\n}\n\nbool isAxisTitle = (axis.x == 0.0) &&\n (axis.y == 0.0) &&\n (axis.z == 0.0);\n\nvoid main() {\n //Compute world offset\n float axisDistance = position.z;\n vec3 dataPosition = axisDistance * axis + offset;\n\n float beta = angle; // i.e. user defined attributes for each tick\n\n float axisAngle;\n float clipAngle;\n float flip;\n\n if (enableAlign) {\n axisAngle = (isAxisTitle) ? HALF_PI :\n computeViewAngle(dataPosition, dataPosition + axis);\n clipAngle = computeViewAngle(dataPosition, dataPosition + alignDir);\n\n axisAngle += (sin(axisAngle) < 0.0) ? PI : 0.0;\n clipAngle += (sin(clipAngle) < 0.0) ? PI : 0.0;\n\n flip = (dot(vec2(cos(axisAngle), sin(axisAngle)),\n vec2(sin(clipAngle),-cos(clipAngle))) > 0.0) ? 1.0 : 0.0;\n\n beta += applyAlignOption(clipAngle, flip * PI);\n }\n\n //Compute plane offset\n vec2 planeCoord = position.xy * pixelScale;\n\n mat2 planeXform = scale * mat2(\n cos(beta), sin(beta),\n -sin(beta), cos(beta)\n );\n\n vec2 viewOffset = 2.0 * planeXform * planeCoord / resolution;\n\n //Compute clip position\n vec3 clipPosition = project(dataPosition);\n\n //Apply text offset in clip coordinates\n clipPosition += vec3(viewOffset, 0.0);\n\n //Done\n gl_Position = vec4(clipPosition, 1.0);\n}"]),l=n(["precision highp float;\n#define GLSLIFY 1\n\nuniform vec4 color;\nvoid main() {\n gl_FragColor = color;\n}"]);e.f=function(t){return i(t,s,l,null,[{name:"position",type:"vec3"}])};var u=n(["precision highp float;\n#define GLSLIFY 1\n\nattribute vec3 position;\nattribute vec3 normal;\n\nuniform mat4 model, view, projection;\nuniform vec3 enable;\nuniform vec3 bounds[2];\n\nvarying vec3 colorChannel;\n\nvoid main() {\n\n vec3 signAxis = sign(bounds[1] - bounds[0]);\n\n vec3 realNormal = signAxis * normal;\n\n if(dot(realNormal, enable) > 0.0) {\n vec3 minRange = min(bounds[0], bounds[1]);\n vec3 maxRange = max(bounds[0], bounds[1]);\n vec3 nPosition = mix(minRange, maxRange, 0.5 * (position + 1.0));\n gl_Position = projection * view * model * vec4(nPosition, 1.0);\n } else {\n gl_Position = vec4(0,0,0,0);\n }\n\n colorChannel = abs(realNormal);\n}"]),c=n(["precision highp float;\n#define GLSLIFY 1\n\nuniform vec4 colors[3];\n\nvarying vec3 colorChannel;\n\nvoid main() {\n gl_FragColor = colorChannel.x * colors[0] +\n colorChannel.y * colors[1] +\n colorChannel.z * colors[2];\n}"]);e.bg=function(t){return i(t,u,c,null,[{name:"position",type:"vec3"},{name:"normal",type:"vec3"}])}},9557:function(t,e,r){"use strict";t.exports=function(t,e,r,i,o,l){var u=n(t),f=a(t,[{buffer:u,size:3}]),h=s(t);h.attributes.position.location=0;var p=new c(t,h,u,f);return p.update(e,r,i,o,l),p};var n=r(5827),a=r(2944),o=r(875),s=r(1943).f,l=window||i.global||{},u=l.__TEXT_CACHE||{};function c(t,e,r,n){this.gl=t,this.shader=e,this.buffer=r,this.vao=n,this.tickOffset=this.tickCount=this.labelOffset=this.labelCount=null}l.__TEXT_CACHE={};var f=c.prototype,h=[0,0];f.bind=function(t,e,r,n){this.vao.bind(),this.shader.bind();var i=this.shader.uniforms;i.model=t,i.view=e,i.projection=r,i.pixelScale=n,h[0]=this.gl.drawingBufferWidth,h[1]=this.gl.drawingBufferHeight,this.shader.uniforms.resolution=h},f.unbind=function(){this.vao.unbind()},f.update=function(t,e,r,n,i){var a=[];function s(t,e,r,n,i,s){var l=u[r];l||(l=u[r]={});var c=l[e];c||(c=l[e]=function(t,e){try{return o(t,e)}catch(e){return console.warn('error vectorizing text:"'+t+'" error:',e),{cells:[],positions:[]}}}(e,{triangles:!0,font:r,textAlign:"center",textBaseline:"middle",lineSpacing:i,styletags:s}));for(var f=(n||12)/12,h=c.positions,p=c.cells,d=0,v=p.length;d=0;--y){var m=h[g[y]];a.push(f*m[0],-f*m[1],t)}}for(var l=[0,0,0],c=[0,0,0],f=[0,0,0],h=[0,0,0],p={breaklines:!0,bolds:!0,italics:!0,subscripts:!0,superscripts:!0},d=0;d<3;++d){f[d]=a.length/3|0,s(.5*(t[0][d]+t[1][d]),e[d],r[d],12,1.25,p),h[d]=(a.length/3|0)-f[d],l[d]=a.length/3|0;for(var v=0;v=0&&(i=r.length-n-1);var a=Math.pow(10,i),o=Math.round(t*e*a),s=o+"";if(s.indexOf("e")>=0)return s;var l=o/a,u=o%a;o<0?(l=0|-Math.ceil(l),u=0|-u):(l=0|Math.floor(l),u|=0);var c=""+l;if(o<0&&(c="-"+c),i){for(var f=""+u;f.length=t[0][i];--o)a.push({x:o*e[i],text:r(e[i],o)});n.push(a)}return n},e.equal=function(t,e){for(var r=0;r<3;++r){if(t[r].length!==e[r].length)return!1;for(var n=0;nr)throw new Error("gl-buffer: If resizing buffer, must not specify offset");return t.bufferSubData(e,a,i),r}function c(t,e){for(var r=n.malloc(t.length,e),i=t.length,a=0;a=0;--n){if(e[n]!==r)return!1;r*=t[n]}return!0}(t.shape,t.stride))0===t.offset&&t.data.length===t.shape[0]?this.length=u(this.gl,this.type,this.length,this.usage,t.data,e):this.length=u(this.gl,this.type,this.length,this.usage,t.data.subarray(t.offset,t.shape[0]),e);else{var s=n.malloc(t.size,r),l=a(s,t.shape);i.assign(l,t),this.length=u(this.gl,this.type,this.length,this.usage,e<0?s:s.subarray(0,t.size),e),n.free(s)}}else if(Array.isArray(t)){var f;f=this.type===this.gl.ELEMENT_ARRAY_BUFFER?c(t,"uint16"):c(t,"float32"),this.length=u(this.gl,this.type,this.length,this.usage,e<0?f:f.subarray(0,t.length),e),n.free(f)}else if("object"==typeof t&&"number"==typeof t.length)this.length=u(this.gl,this.type,this.length,this.usage,t,e);else{if("number"!=typeof t&&void 0!==t)throw new Error("gl-buffer: Invalid data type");if(e>=0)throw new Error("gl-buffer: Cannot specify offset when resizing buffer");(t|=0)<=0&&(t=1),this.gl.bufferData(this.type,0|t,this.usage),this.length=t}},t.exports=function(t,e,r,n){if(r=r||t.ARRAY_BUFFER,n=n||t.DYNAMIC_DRAW,r!==t.ARRAY_BUFFER&&r!==t.ELEMENT_ARRAY_BUFFER)throw new Error("gl-buffer: Invalid type for webgl buffer, must be either gl.ARRAY_BUFFER or gl.ELEMENT_ARRAY_BUFFER");if(n!==t.DYNAMIC_DRAW&&n!==t.STATIC_DRAW&&n!==t.STREAM_DRAW)throw new Error("gl-buffer: Invalid usage for buffer, must be either gl.DYNAMIC_DRAW, gl.STATIC_DRAW or gl.STREAM_DRAW");var i=t.createBuffer(),a=new s(t,r,i,0,n);return a.update(e),a}},1140:function(t,e,r){"use strict";var n=r(2858);t.exports=function(t,e){var r=t.positions,i=t.vectors,a={positions:[],vertexIntensity:[],vertexIntensityBounds:t.vertexIntensityBounds,vectors:[],cells:[],coneOffset:t.coneOffset,colormap:t.colormap};if(0===t.positions.length)return e&&(e[0]=[0,0,0],e[1]=[0,0,0]),a;for(var o=0,s=1/0,l=-1/0,u=1/0,c=-1/0,f=1/0,h=-1/0,p=null,d=null,v=[],g=1/0,y=!1,m=0;mo&&(o=n.length(b)),m){var _=2*n.distance(p,x)/(n.length(d)+n.length(b));_?(g=Math.min(g,_),y=!1):y=!0}y||(p=x,d=b),v.push(b)}var w=[s,u,f],T=[l,c,h];e&&(e[0]=w,e[1]=T),0===o&&(o=1);var k=1/o;isFinite(g)||(g=1),a.vectorScale=g;var A=t.coneSize||.5;t.absoluteConeSize&&(A=t.absoluteConeSize*k),a.coneScale=A,m=0;for(var M=0;m=1},p.isTransparent=function(){return this.opacity<1},p.pickSlots=1,p.setPickBase=function(t){this.pickId=t},p.update=function(t){t=t||{};var e=this.gl;this.dirty=!0,"lightPosition"in t&&(this.lightPosition=t.lightPosition),"opacity"in t&&(this.opacity=t.opacity),"ambient"in t&&(this.ambientLight=t.ambient),"diffuse"in t&&(this.diffuseLight=t.diffuse),"specular"in t&&(this.specularLight=t.specular),"roughness"in t&&(this.roughness=t.roughness),"fresnel"in t&&(this.fresnel=t.fresnel),void 0!==t.tubeScale&&(this.tubeScale=t.tubeScale),void 0!==t.vectorScale&&(this.vectorScale=t.vectorScale),void 0!==t.coneScale&&(this.coneScale=t.coneScale),void 0!==t.coneOffset&&(this.coneOffset=t.coneOffset),t.colormap&&(this.texture.shape=[256,256],this.texture.minFilter=e.LINEAR_MIPMAP_LINEAR,this.texture.magFilter=e.LINEAR,this.texture.setPixels(function(t){for(var e=c({colormap:t,nshades:256,format:"rgba"}),r=new Uint8Array(1024),n=0;n<256;++n){for(var i=e[n],a=0;a<3;++a)r[4*n+a]=i[a];r[4*n+3]=255*i[3]}return u(r,[256,256,4],[4,0,1])}(t.colormap)),this.texture.generateMipmap());var r=t.cells,n=t.positions,i=t.vectors;if(n&&r&&i){var a=[],o=[],s=[],l=[],f=[];this.cells=r,this.positions=n,this.vectors=i;var h=t.meshColor||[1,1,1,1],p=t.vertexIntensity,d=1/0,v=-1/0;if(p)if(t.vertexIntensityBounds)d=+t.vertexIntensityBounds[0],v=+t.vertexIntensityBounds[1];else for(var g=0;g0){var v=this.triShader;v.bind(),v.uniforms=u,this.triangleVAO.bind(),e.drawArrays(e.TRIANGLES,0,3*this.triangleCount),this.triangleVAO.unbind()}},p.drawPick=function(t){t=t||{};for(var e=this.gl,r=t.model||f,n=t.view||f,i=t.projection||f,a=[[-1e6,-1e6,-1e6],[1e6,1e6,1e6]],o=0;o<3;++o)a[0][o]=Math.max(a[0][o],this.clipBounds[0][o]),a[1][o]=Math.min(a[1][o],this.clipBounds[1][o]);this._model=[].slice.call(r),this._view=[].slice.call(n),this._projection=[].slice.call(i),this._resolution=[e.drawingBufferWidth,e.drawingBufferHeight];var s={model:r,view:n,projection:i,clipBounds:a,tubeScale:this.tubeScale,vectorScale:this.vectorScale,coneScale:this.coneScale,coneOffset:this.coneOffset,pickId:this.pickId/255},l=this.pickShader;l.bind(),l.uniforms=s,this.triangleCount>0&&(this.triangleVAO.bind(),e.drawArrays(e.TRIANGLES,0,3*this.triangleCount),this.triangleVAO.unbind())},p.pick=function(t){if(!t)return null;if(t.id!==this.pickId)return null;var e=t.value[0]+256*t.value[1]+65536*t.value[2],r=this.cells[e],n=this.positions[r[1]].slice(0,3),i={position:n,dataCoordinate:n,index:Math.floor(r[1]/48)};return"cone"===this.traceType?i.index=Math.floor(r[1]/48):"streamtube"===this.traceType&&(i.intensity=this.intensity[r[1]],i.velocity=this.vectors[r[1]].slice(0,3),i.divergence=this.vectors[r[1]][3],i.index=e),i},p.dispose=function(){this.texture.dispose(),this.triShader.dispose(),this.pickShader.dispose(),this.triangleVAO.dispose(),this.trianglePositions.dispose(),this.triangleVectors.dispose(),this.triangleColors.dispose(),this.triangleUVs.dispose(),this.triangleIds.dispose()},t.exports=function(t,e,r){var s=r.shaders;1===arguments.length&&(t=(e=t).gl);var l=function(t,e){var r=n(t,e.meshShader.vertex,e.meshShader.fragment,null,e.meshShader.attributes);return r.attributes.position.location=0,r.attributes.color.location=2,r.attributes.uv.location=3,r.attributes.vector.location=4,r}(t,s),c=function(t,e){var r=n(t,e.pickShader.vertex,e.pickShader.fragment,null,e.pickShader.attributes);return r.attributes.position.location=0,r.attributes.id.location=1,r.attributes.vector.location=4,r}(t,s),f=o(t,u(new Uint8Array([255,255,255,255]),[1,1,4]));f.generateMipmap(),f.minFilter=t.LINEAR_MIPMAP_LINEAR,f.magFilter=t.LINEAR;var p=i(t),d=i(t),v=i(t),g=i(t),y=i(t),m=new h(t,f,l,c,p,d,y,v,g,a(t,[{buffer:p,type:t.FLOAT,size:4},{buffer:y,type:t.UNSIGNED_BYTE,size:4,normalized:!0},{buffer:v,type:t.FLOAT,size:4},{buffer:g,type:t.FLOAT,size:2},{buffer:d,type:t.FLOAT,size:4}]),r.traceType||"cone");return m.update(e),m}},7234:function(t,e,r){var n=r(6832),i=n(["precision highp float;\n\nprecision highp float;\n#define GLSLIFY 1\n\nvec3 getOrthogonalVector(vec3 v) {\n // Return up-vector for only-z vector.\n // Return ax + by + cz = 0, a point that lies on the plane that has v as a normal and that isn't (0,0,0).\n // From the above if-statement we have ||a|| > 0 U ||b|| > 0.\n // Assign z = 0, x = -b, y = a:\n // a*-b + b*a + c*0 = -ba + ba + 0 = 0\n if (v.x*v.x > v.z*v.z || v.y*v.y > v.z*v.z) {\n return normalize(vec3(-v.y, v.x, 0.0));\n } else {\n return normalize(vec3(0.0, v.z, -v.y));\n }\n}\n\n// Calculate the cone vertex and normal at the given index.\n//\n// The returned vertex is for a cone with its top at origin and height of 1.0,\n// pointing in the direction of the vector attribute.\n//\n// Each cone is made up of a top vertex, a center base vertex and base perimeter vertices.\n// These vertices are used to make up the triangles of the cone by the following:\n// segment + 0 top vertex\n// segment + 1 perimeter vertex a+1\n// segment + 2 perimeter vertex a\n// segment + 3 center base vertex\n// segment + 4 perimeter vertex a\n// segment + 5 perimeter vertex a+1\n// Where segment is the number of the radial segment * 6 and a is the angle at that radial segment.\n// To go from index to segment, floor(index / 6)\n// To go from segment to angle, 2*pi * (segment/segmentCount)\n// To go from index to segment index, index - (segment*6)\n//\nvec3 getConePosition(vec3 d, float rawIndex, float coneOffset, out vec3 normal) {\n\n const float segmentCount = 8.0;\n\n float index = rawIndex - floor(rawIndex /\n (segmentCount * 6.0)) *\n (segmentCount * 6.0);\n\n float segment = floor(0.001 + index/6.0);\n float segmentIndex = index - (segment*6.0);\n\n normal = -normalize(d);\n\n if (segmentIndex > 2.99 && segmentIndex < 3.01) {\n return mix(vec3(0.0), -d, coneOffset);\n }\n\n float nextAngle = (\n (segmentIndex > 0.99 && segmentIndex < 1.01) ||\n (segmentIndex > 4.99 && segmentIndex < 5.01)\n ) ? 1.0 : 0.0;\n float angle = 2.0 * 3.14159 * ((segment + nextAngle) / segmentCount);\n\n vec3 v1 = mix(d, vec3(0.0), coneOffset);\n vec3 v2 = v1 - d;\n\n vec3 u = getOrthogonalVector(d);\n vec3 v = normalize(cross(u, d));\n\n vec3 x = u * cos(angle) * length(d)*0.25;\n vec3 y = v * sin(angle) * length(d)*0.25;\n vec3 v3 = v2 + x + y;\n if (segmentIndex < 3.0) {\n vec3 tx = u * sin(angle);\n vec3 ty = v * -cos(angle);\n vec3 tangent = tx + ty;\n normal = normalize(cross(v3 - v1, tangent));\n }\n\n if (segmentIndex == 0.0) {\n return mix(d, vec3(0.0), coneOffset);\n }\n return v3;\n}\n\nattribute vec3 vector;\nattribute vec4 color, position;\nattribute vec2 uv;\n\nuniform float vectorScale, coneScale, coneOffset;\nuniform mat4 model, view, projection, inverseModel;\nuniform vec3 eyePosition, lightPosition;\n\nvarying vec3 f_normal, f_lightDirection, f_eyeDirection, f_data, f_position;\nvarying vec4 f_color;\nvarying vec2 f_uv;\n\nvoid main() {\n // Scale the vector magnitude to stay constant with\n // model & view changes.\n vec3 normal;\n vec3 XYZ = getConePosition(mat3(model) * ((vectorScale * coneScale) * vector), position.w, coneOffset, normal);\n vec4 conePosition = model * vec4(position.xyz, 1.0) + vec4(XYZ, 0.0);\n\n //Lighting geometry parameters\n vec4 cameraCoordinate = view * conePosition;\n cameraCoordinate.xyz /= cameraCoordinate.w;\n f_lightDirection = lightPosition - cameraCoordinate.xyz;\n f_eyeDirection = eyePosition - cameraCoordinate.xyz;\n f_normal = normalize((vec4(normal, 0.0) * inverseModel).xyz);\n\n // vec4 m_position = model * vec4(conePosition, 1.0);\n vec4 t_position = view * conePosition;\n gl_Position = projection * t_position;\n\n f_color = color;\n f_data = conePosition.xyz;\n f_position = position.xyz;\n f_uv = uv;\n}\n"]),a=n(["#extension GL_OES_standard_derivatives : enable\n\nprecision highp float;\n#define GLSLIFY 1\n\nfloat beckmannDistribution(float x, float roughness) {\n float NdotH = max(x, 0.0001);\n float cos2Alpha = NdotH * NdotH;\n float tan2Alpha = (cos2Alpha - 1.0) / cos2Alpha;\n float roughness2 = roughness * roughness;\n float denom = 3.141592653589793 * roughness2 * cos2Alpha * cos2Alpha;\n return exp(tan2Alpha / roughness2) / denom;\n}\n\nfloat cookTorranceSpecular(\n vec3 lightDirection,\n vec3 viewDirection,\n vec3 surfaceNormal,\n float roughness,\n float fresnel) {\n\n float VdotN = max(dot(viewDirection, surfaceNormal), 0.0);\n float LdotN = max(dot(lightDirection, surfaceNormal), 0.0);\n\n //Half angle vector\n vec3 H = normalize(lightDirection + viewDirection);\n\n //Geometric term\n float NdotH = max(dot(surfaceNormal, H), 0.0);\n float VdotH = max(dot(viewDirection, H), 0.000001);\n float LdotH = max(dot(lightDirection, H), 0.000001);\n float G1 = (2.0 * NdotH * VdotN) / VdotH;\n float G2 = (2.0 * NdotH * LdotN) / LdotH;\n float G = min(1.0, min(G1, G2));\n \n //Distribution term\n float D = beckmannDistribution(NdotH, roughness);\n\n //Fresnel term\n float F = pow(1.0 - VdotN, fresnel);\n\n //Multiply terms and done\n return G * F * D / max(3.14159265 * VdotN, 0.000001);\n}\n\nbool outOfRange(float a, float b, float p) {\n return ((p > max(a, b)) || \n (p < min(a, b)));\n}\n\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\n return (outOfRange(a.x, b.x, p.x) ||\n outOfRange(a.y, b.y, p.y));\n}\n\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\n return (outOfRange(a.x, b.x, p.x) ||\n outOfRange(a.y, b.y, p.y) ||\n outOfRange(a.z, b.z, p.z));\n}\n\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\n return outOfRange(a.xyz, b.xyz, p.xyz);\n}\n\nuniform vec3 clipBounds[2];\nuniform float roughness, fresnel, kambient, kdiffuse, kspecular, opacity;\nuniform sampler2D texture;\n\nvarying vec3 f_normal, f_lightDirection, f_eyeDirection, f_data, f_position;\nvarying vec4 f_color;\nvarying vec2 f_uv;\n\nvoid main() {\n if (outOfRange(clipBounds[0], clipBounds[1], f_position)) discard;\n vec3 N = normalize(f_normal);\n vec3 L = normalize(f_lightDirection);\n vec3 V = normalize(f_eyeDirection);\n\n if(gl_FrontFacing) {\n N = -N;\n }\n\n float specular = min(1.0, max(0.0, cookTorranceSpecular(L, V, N, roughness, fresnel)));\n float diffuse = min(kambient + kdiffuse * max(dot(N, L), 0.0), 1.0);\n\n vec4 surfaceColor = f_color * texture2D(texture, f_uv);\n vec4 litColor = surfaceColor.a * vec4(diffuse * surfaceColor.rgb + kspecular * vec3(1,1,1) * specular, 1.0);\n\n gl_FragColor = litColor * opacity;\n}\n"]),o=n(["precision highp float;\n\nprecision highp float;\n#define GLSLIFY 1\n\nvec3 getOrthogonalVector(vec3 v) {\n // Return up-vector for only-z vector.\n // Return ax + by + cz = 0, a point that lies on the plane that has v as a normal and that isn't (0,0,0).\n // From the above if-statement we have ||a|| > 0 U ||b|| > 0.\n // Assign z = 0, x = -b, y = a:\n // a*-b + b*a + c*0 = -ba + ba + 0 = 0\n if (v.x*v.x > v.z*v.z || v.y*v.y > v.z*v.z) {\n return normalize(vec3(-v.y, v.x, 0.0));\n } else {\n return normalize(vec3(0.0, v.z, -v.y));\n }\n}\n\n// Calculate the cone vertex and normal at the given index.\n//\n// The returned vertex is for a cone with its top at origin and height of 1.0,\n// pointing in the direction of the vector attribute.\n//\n// Each cone is made up of a top vertex, a center base vertex and base perimeter vertices.\n// These vertices are used to make up the triangles of the cone by the following:\n// segment + 0 top vertex\n// segment + 1 perimeter vertex a+1\n// segment + 2 perimeter vertex a\n// segment + 3 center base vertex\n// segment + 4 perimeter vertex a\n// segment + 5 perimeter vertex a+1\n// Where segment is the number of the radial segment * 6 and a is the angle at that radial segment.\n// To go from index to segment, floor(index / 6)\n// To go from segment to angle, 2*pi * (segment/segmentCount)\n// To go from index to segment index, index - (segment*6)\n//\nvec3 getConePosition(vec3 d, float rawIndex, float coneOffset, out vec3 normal) {\n\n const float segmentCount = 8.0;\n\n float index = rawIndex - floor(rawIndex /\n (segmentCount * 6.0)) *\n (segmentCount * 6.0);\n\n float segment = floor(0.001 + index/6.0);\n float segmentIndex = index - (segment*6.0);\n\n normal = -normalize(d);\n\n if (segmentIndex > 2.99 && segmentIndex < 3.01) {\n return mix(vec3(0.0), -d, coneOffset);\n }\n\n float nextAngle = (\n (segmentIndex > 0.99 && segmentIndex < 1.01) ||\n (segmentIndex > 4.99 && segmentIndex < 5.01)\n ) ? 1.0 : 0.0;\n float angle = 2.0 * 3.14159 * ((segment + nextAngle) / segmentCount);\n\n vec3 v1 = mix(d, vec3(0.0), coneOffset);\n vec3 v2 = v1 - d;\n\n vec3 u = getOrthogonalVector(d);\n vec3 v = normalize(cross(u, d));\n\n vec3 x = u * cos(angle) * length(d)*0.25;\n vec3 y = v * sin(angle) * length(d)*0.25;\n vec3 v3 = v2 + x + y;\n if (segmentIndex < 3.0) {\n vec3 tx = u * sin(angle);\n vec3 ty = v * -cos(angle);\n vec3 tangent = tx + ty;\n normal = normalize(cross(v3 - v1, tangent));\n }\n\n if (segmentIndex == 0.0) {\n return mix(d, vec3(0.0), coneOffset);\n }\n return v3;\n}\n\nattribute vec4 vector;\nattribute vec4 position;\nattribute vec4 id;\n\nuniform mat4 model, view, projection;\nuniform float vectorScale, coneScale, coneOffset;\n\nvarying vec3 f_position;\nvarying vec4 f_id;\n\nvoid main() {\n vec3 normal;\n vec3 XYZ = getConePosition(mat3(model) * ((vectorScale * coneScale) * vector.xyz), position.w, coneOffset, normal);\n vec4 conePosition = model * vec4(position.xyz, 1.0) + vec4(XYZ, 0.0);\n gl_Position = projection * view * conePosition;\n f_id = id;\n f_position = position.xyz;\n}\n"]),s=n(["precision highp float;\n#define GLSLIFY 1\n\nbool outOfRange(float a, float b, float p) {\n return ((p > max(a, b)) || \n (p < min(a, b)));\n}\n\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\n return (outOfRange(a.x, b.x, p.x) ||\n outOfRange(a.y, b.y, p.y));\n}\n\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\n return (outOfRange(a.x, b.x, p.x) ||\n outOfRange(a.y, b.y, p.y) ||\n outOfRange(a.z, b.z, p.z));\n}\n\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\n return outOfRange(a.xyz, b.xyz, p.xyz);\n}\n\nuniform vec3 clipBounds[2];\nuniform float pickId;\n\nvarying vec3 f_position;\nvarying vec4 f_id;\n\nvoid main() {\n if (outOfRange(clipBounds[0], clipBounds[1], f_position)) discard;\n\n gl_FragColor = vec4(pickId, f_id.xyz);\n}"]);e.meshShader={vertex:i,fragment:a,attributes:[{name:"position",type:"vec4"},{name:"color",type:"vec4"},{name:"uv",type:"vec2"},{name:"vector",type:"vec3"}]},e.pickShader={vertex:o,fragment:s,attributes:[{name:"position",type:"vec4"},{name:"id",type:"vec4"},{name:"vector",type:"vec3"}]}},1950:function(t){t.exports={0:"NONE",1:"ONE",2:"LINE_LOOP",3:"LINE_STRIP",4:"TRIANGLES",5:"TRIANGLE_STRIP",6:"TRIANGLE_FAN",256:"DEPTH_BUFFER_BIT",512:"NEVER",513:"LESS",514:"EQUAL",515:"LEQUAL",516:"GREATER",517:"NOTEQUAL",518:"GEQUAL",519:"ALWAYS",768:"SRC_COLOR",769:"ONE_MINUS_SRC_COLOR",770:"SRC_ALPHA",771:"ONE_MINUS_SRC_ALPHA",772:"DST_ALPHA",773:"ONE_MINUS_DST_ALPHA",774:"DST_COLOR",775:"ONE_MINUS_DST_COLOR",776:"SRC_ALPHA_SATURATE",1024:"STENCIL_BUFFER_BIT",1028:"FRONT",1029:"BACK",1032:"FRONT_AND_BACK",1280:"INVALID_ENUM",1281:"INVALID_VALUE",1282:"INVALID_OPERATION",1285:"OUT_OF_MEMORY",1286:"INVALID_FRAMEBUFFER_OPERATION",2304:"CW",2305:"CCW",2849:"LINE_WIDTH",2884:"CULL_FACE",2885:"CULL_FACE_MODE",2886:"FRONT_FACE",2928:"DEPTH_RANGE",2929:"DEPTH_TEST",2930:"DEPTH_WRITEMASK",2931:"DEPTH_CLEAR_VALUE",2932:"DEPTH_FUNC",2960:"STENCIL_TEST",2961:"STENCIL_CLEAR_VALUE",2962:"STENCIL_FUNC",2963:"STENCIL_VALUE_MASK",2964:"STENCIL_FAIL",2965:"STENCIL_PASS_DEPTH_FAIL",2966:"STENCIL_PASS_DEPTH_PASS",2967:"STENCIL_REF",2968:"STENCIL_WRITEMASK",2978:"VIEWPORT",3024:"DITHER",3042:"BLEND",3088:"SCISSOR_BOX",3089:"SCISSOR_TEST",3106:"COLOR_CLEAR_VALUE",3107:"COLOR_WRITEMASK",3317:"UNPACK_ALIGNMENT",3333:"PACK_ALIGNMENT",3379:"MAX_TEXTURE_SIZE",3386:"MAX_VIEWPORT_DIMS",3408:"SUBPIXEL_BITS",3410:"RED_BITS",3411:"GREEN_BITS",3412:"BLUE_BITS",3413:"ALPHA_BITS",3414:"DEPTH_BITS",3415:"STENCIL_BITS",3553:"TEXTURE_2D",4352:"DONT_CARE",4353:"FASTEST",4354:"NICEST",5120:"BYTE",5121:"UNSIGNED_BYTE",5122:"SHORT",5123:"UNSIGNED_SHORT",5124:"INT",5125:"UNSIGNED_INT",5126:"FLOAT",5386:"INVERT",5890:"TEXTURE",6401:"STENCIL_INDEX",6402:"DEPTH_COMPONENT",6406:"ALPHA",6407:"RGB",6408:"RGBA",6409:"LUMINANCE",6410:"LUMINANCE_ALPHA",7680:"KEEP",7681:"REPLACE",7682:"INCR",7683:"DECR",7936:"VENDOR",7937:"RENDERER",7938:"VERSION",9728:"NEAREST",9729:"LINEAR",9984:"NEAREST_MIPMAP_NEAREST",9985:"LINEAR_MIPMAP_NEAREST",9986:"NEAREST_MIPMAP_LINEAR",9987:"LINEAR_MIPMAP_LINEAR",10240:"TEXTURE_MAG_FILTER",10241:"TEXTURE_MIN_FILTER",10242:"TEXTURE_WRAP_S",10243:"TEXTURE_WRAP_T",10497:"REPEAT",10752:"POLYGON_OFFSET_UNITS",16384:"COLOR_BUFFER_BIT",32769:"CONSTANT_COLOR",32770:"ONE_MINUS_CONSTANT_COLOR",32771:"CONSTANT_ALPHA",32772:"ONE_MINUS_CONSTANT_ALPHA",32773:"BLEND_COLOR",32774:"FUNC_ADD",32777:"BLEND_EQUATION_RGB",32778:"FUNC_SUBTRACT",32779:"FUNC_REVERSE_SUBTRACT",32819:"UNSIGNED_SHORT_4_4_4_4",32820:"UNSIGNED_SHORT_5_5_5_1",32823:"POLYGON_OFFSET_FILL",32824:"POLYGON_OFFSET_FACTOR",32854:"RGBA4",32855:"RGB5_A1",32873:"TEXTURE_BINDING_2D",32926:"SAMPLE_ALPHA_TO_COVERAGE",32928:"SAMPLE_COVERAGE",32936:"SAMPLE_BUFFERS",32937:"SAMPLES",32938:"SAMPLE_COVERAGE_VALUE",32939:"SAMPLE_COVERAGE_INVERT",32968:"BLEND_DST_RGB",32969:"BLEND_SRC_RGB",32970:"BLEND_DST_ALPHA",32971:"BLEND_SRC_ALPHA",33071:"CLAMP_TO_EDGE",33170:"GENERATE_MIPMAP_HINT",33189:"DEPTH_COMPONENT16",33306:"DEPTH_STENCIL_ATTACHMENT",33635:"UNSIGNED_SHORT_5_6_5",33648:"MIRRORED_REPEAT",33901:"ALIASED_POINT_SIZE_RANGE",33902:"ALIASED_LINE_WIDTH_RANGE",33984:"TEXTURE0",33985:"TEXTURE1",33986:"TEXTURE2",33987:"TEXTURE3",33988:"TEXTURE4",33989:"TEXTURE5",33990:"TEXTURE6",33991:"TEXTURE7",33992:"TEXTURE8",33993:"TEXTURE9",33994:"TEXTURE10",33995:"TEXTURE11",33996:"TEXTURE12",33997:"TEXTURE13",33998:"TEXTURE14",33999:"TEXTURE15",34e3:"TEXTURE16",34001:"TEXTURE17",34002:"TEXTURE18",34003:"TEXTURE19",34004:"TEXTURE20",34005:"TEXTURE21",34006:"TEXTURE22",34007:"TEXTURE23",34008:"TEXTURE24",34009:"TEXTURE25",34010:"TEXTURE26",34011:"TEXTURE27",34012:"TEXTURE28",34013:"TEXTURE29",34014:"TEXTURE30",34015:"TEXTURE31",34016:"ACTIVE_TEXTURE",34024:"MAX_RENDERBUFFER_SIZE",34041:"DEPTH_STENCIL",34055:"INCR_WRAP",34056:"DECR_WRAP",34067:"TEXTURE_CUBE_MAP",34068:"TEXTURE_BINDING_CUBE_MAP",34069:"TEXTURE_CUBE_MAP_POSITIVE_X",34070:"TEXTURE_CUBE_MAP_NEGATIVE_X",34071:"TEXTURE_CUBE_MAP_POSITIVE_Y",34072:"TEXTURE_CUBE_MAP_NEGATIVE_Y",34073:"TEXTURE_CUBE_MAP_POSITIVE_Z",34074:"TEXTURE_CUBE_MAP_NEGATIVE_Z",34076:"MAX_CUBE_MAP_TEXTURE_SIZE",34338:"VERTEX_ATTRIB_ARRAY_ENABLED",34339:"VERTEX_ATTRIB_ARRAY_SIZE",34340:"VERTEX_ATTRIB_ARRAY_STRIDE",34341:"VERTEX_ATTRIB_ARRAY_TYPE",34342:"CURRENT_VERTEX_ATTRIB",34373:"VERTEX_ATTRIB_ARRAY_POINTER",34466:"NUM_COMPRESSED_TEXTURE_FORMATS",34467:"COMPRESSED_TEXTURE_FORMATS",34660:"BUFFER_SIZE",34661:"BUFFER_USAGE",34816:"STENCIL_BACK_FUNC",34817:"STENCIL_BACK_FAIL",34818:"STENCIL_BACK_PASS_DEPTH_FAIL",34819:"STENCIL_BACK_PASS_DEPTH_PASS",34877:"BLEND_EQUATION_ALPHA",34921:"MAX_VERTEX_ATTRIBS",34922:"VERTEX_ATTRIB_ARRAY_NORMALIZED",34930:"MAX_TEXTURE_IMAGE_UNITS",34962:"ARRAY_BUFFER",34963:"ELEMENT_ARRAY_BUFFER",34964:"ARRAY_BUFFER_BINDING",34965:"ELEMENT_ARRAY_BUFFER_BINDING",34975:"VERTEX_ATTRIB_ARRAY_BUFFER_BINDING",35040:"STREAM_DRAW",35044:"STATIC_DRAW",35048:"DYNAMIC_DRAW",35632:"FRAGMENT_SHADER",35633:"VERTEX_SHADER",35660:"MAX_VERTEX_TEXTURE_IMAGE_UNITS",35661:"MAX_COMBINED_TEXTURE_IMAGE_UNITS",35663:"SHADER_TYPE",35664:"FLOAT_VEC2",35665:"FLOAT_VEC3",35666:"FLOAT_VEC4",35667:"INT_VEC2",35668:"INT_VEC3",35669:"INT_VEC4",35670:"BOOL",35671:"BOOL_VEC2",35672:"BOOL_VEC3",35673:"BOOL_VEC4",35674:"FLOAT_MAT2",35675:"FLOAT_MAT3",35676:"FLOAT_MAT4",35678:"SAMPLER_2D",35680:"SAMPLER_CUBE",35712:"DELETE_STATUS",35713:"COMPILE_STATUS",35714:"LINK_STATUS",35715:"VALIDATE_STATUS",35716:"INFO_LOG_LENGTH",35717:"ATTACHED_SHADERS",35718:"ACTIVE_UNIFORMS",35719:"ACTIVE_UNIFORM_MAX_LENGTH",35720:"SHADER_SOURCE_LENGTH",35721:"ACTIVE_ATTRIBUTES",35722:"ACTIVE_ATTRIBUTE_MAX_LENGTH",35724:"SHADING_LANGUAGE_VERSION",35725:"CURRENT_PROGRAM",36003:"STENCIL_BACK_REF",36004:"STENCIL_BACK_VALUE_MASK",36005:"STENCIL_BACK_WRITEMASK",36006:"FRAMEBUFFER_BINDING",36007:"RENDERBUFFER_BINDING",36048:"FRAMEBUFFER_ATTACHMENT_OBJECT_TYPE",36049:"FRAMEBUFFER_ATTACHMENT_OBJECT_NAME",36050:"FRAMEBUFFER_ATTACHMENT_TEXTURE_LEVEL",36051:"FRAMEBUFFER_ATTACHMENT_TEXTURE_CUBE_MAP_FACE",36053:"FRAMEBUFFER_COMPLETE",36054:"FRAMEBUFFER_INCOMPLETE_ATTACHMENT",36055:"FRAMEBUFFER_INCOMPLETE_MISSING_ATTACHMENT",36057:"FRAMEBUFFER_INCOMPLETE_DIMENSIONS",36061:"FRAMEBUFFER_UNSUPPORTED",36064:"COLOR_ATTACHMENT0",36096:"DEPTH_ATTACHMENT",36128:"STENCIL_ATTACHMENT",36160:"FRAMEBUFFER",36161:"RENDERBUFFER",36162:"RENDERBUFFER_WIDTH",36163:"RENDERBUFFER_HEIGHT",36164:"RENDERBUFFER_INTERNAL_FORMAT",36168:"STENCIL_INDEX8",36176:"RENDERBUFFER_RED_SIZE",36177:"RENDERBUFFER_GREEN_SIZE",36178:"RENDERBUFFER_BLUE_SIZE",36179:"RENDERBUFFER_ALPHA_SIZE",36180:"RENDERBUFFER_DEPTH_SIZE",36181:"RENDERBUFFER_STENCIL_SIZE",36194:"RGB565",36336:"LOW_FLOAT",36337:"MEDIUM_FLOAT",36338:"HIGH_FLOAT",36339:"LOW_INT",36340:"MEDIUM_INT",36341:"HIGH_INT",36346:"SHADER_COMPILER",36347:"MAX_VERTEX_UNIFORM_VECTORS",36348:"MAX_VARYING_VECTORS",36349:"MAX_FRAGMENT_UNIFORM_VECTORS",37440:"UNPACK_FLIP_Y_WEBGL",37441:"UNPACK_PREMULTIPLY_ALPHA_WEBGL",37442:"CONTEXT_LOST_WEBGL",37443:"UNPACK_COLORSPACE_CONVERSION_WEBGL",37444:"BROWSER_DEFAULT_WEBGL"}},6603:function(t,e,r){var n=r(1950);t.exports=function(t){return n[t]}},3110:function(t,e,r){"use strict";t.exports=function(t){var e=t.gl,r=n(e),o=i(e,[{buffer:r,type:e.FLOAT,size:3,offset:0,stride:40},{buffer:r,type:e.FLOAT,size:4,offset:12,stride:40},{buffer:r,type:e.FLOAT,size:3,offset:28,stride:40}]),l=a(e);l.attributes.position.location=0,l.attributes.color.location=1,l.attributes.offset.location=2;var u=new s(e,r,o,l);return u.update(t),u};var n=r(5827),i=r(2944),a=r(7667),o=[1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1];function s(t,e,r,n){this.gl=t,this.shader=n,this.buffer=e,this.vao=r,this.pixelRatio=1,this.bounds=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]],this.clipBounds=[[-1/0,-1/0,-1/0],[1/0,1/0,1/0]],this.lineWidth=[1,1,1],this.capSize=[10,10,10],this.lineCount=[0,0,0],this.lineOffset=[0,0,0],this.opacity=1,this.hasAlpha=!1}var l=s.prototype;function u(t,e){for(var r=0;r<3;++r)t[0][r]=Math.min(t[0][r],e[r]),t[1][r]=Math.max(t[1][r],e[r])}l.isOpaque=function(){return!this.hasAlpha},l.isTransparent=function(){return this.hasAlpha},l.drawTransparent=l.draw=function(t){var e=this.gl,r=this.shader.uniforms;this.shader.bind();var n=r.view=t.view||o,i=r.projection=t.projection||o;r.model=t.model||o,r.clipBounds=this.clipBounds,r.opacity=this.opacity;var a=n[12],s=n[13],l=n[14],u=n[15],c=(t._ortho?2:1)*this.pixelRatio*(i[3]*a+i[7]*s+i[11]*l+i[15]*u)/e.drawingBufferHeight;this.vao.bind();for(var f=0;f<3;++f)e.lineWidth(this.lineWidth[f]*this.pixelRatio),r.capSize=this.capSize[f]*c,this.lineCount[f]&&e.drawArrays(e.LINES,this.lineOffset[f],this.lineCount[f]);this.vao.unbind()};var c=function(){for(var t=new Array(3),e=0;e<3;++e){for(var r=[],n=1;n<=2;++n)for(var i=-1;i<=1;i+=2){var a=[0,0,0];a[(n+e)%3]=i,r.push(a)}t[e]=r}return t}();function f(t,e,r,n){for(var i=c[n],a=0;a0&&((p=c.slice())[s]+=d[1][s],i.push(c[0],c[1],c[2],v[0],v[1],v[2],v[3],0,0,0,p[0],p[1],p[2],v[0],v[1],v[2],v[3],0,0,0),u(this.bounds,p),o+=2+f(i,p,v,s)))}this.lineCount[s]=o-this.lineOffset[s]}this.buffer.update(i)}},l.dispose=function(){this.shader.dispose(),this.buffer.dispose(),this.vao.dispose()}},7667:function(t,e,r){"use strict";var n=r(6832),i=r(5158),a=n(["precision highp float;\n#define GLSLIFY 1\n\nattribute vec3 position, offset;\nattribute vec4 color;\nuniform mat4 model, view, projection;\nuniform float capSize;\nvarying vec4 fragColor;\nvarying vec3 fragPosition;\n\nvoid main() {\n vec4 worldPosition = model * vec4(position, 1.0);\n worldPosition = (worldPosition / worldPosition.w) + vec4(capSize * offset, 0.0);\n gl_Position = projection * view * worldPosition;\n fragColor = color;\n fragPosition = position;\n}"]),o=n(["precision highp float;\n#define GLSLIFY 1\n\nbool outOfRange(float a, float b, float p) {\n return ((p > max(a, b)) || \n (p < min(a, b)));\n}\n\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\n return (outOfRange(a.x, b.x, p.x) ||\n outOfRange(a.y, b.y, p.y));\n}\n\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\n return (outOfRange(a.x, b.x, p.x) ||\n outOfRange(a.y, b.y, p.y) ||\n outOfRange(a.z, b.z, p.z));\n}\n\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\n return outOfRange(a.xyz, b.xyz, p.xyz);\n}\n\nuniform vec3 clipBounds[2];\nuniform float opacity;\nvarying vec3 fragPosition;\nvarying vec4 fragColor;\n\nvoid main() {\n if (\n outOfRange(clipBounds[0], clipBounds[1], fragPosition) ||\n fragColor.a * opacity == 0.\n ) discard;\n\n gl_FragColor = opacity * fragColor;\n}"]);t.exports=function(t){return i(t,a,o,null,[{name:"position",type:"vec3"},{name:"color",type:"vec4"},{name:"offset",type:"vec3"}])}},4234:function(t,e,r){"use strict";var n=r(8931);t.exports=function(t,e,r,n){i||(i=t.FRAMEBUFFER_UNSUPPORTED,a=t.FRAMEBUFFER_INCOMPLETE_ATTACHMENT,o=t.FRAMEBUFFER_INCOMPLETE_DIMENSIONS,s=t.FRAMEBUFFER_INCOMPLETE_MISSING_ATTACHMENT);var u=t.getExtension("WEBGL_draw_buffers");if(!l&&u&&function(t,e){var r=t.getParameter(e.MAX_COLOR_ATTACHMENTS_WEBGL);l=new Array(r+1);for(var n=0;n<=r;++n){for(var i=new Array(r),a=0;ac||r<0||r>c)throw new Error("gl-fbo: Parameters are too large for FBO");var f=1;if("color"in(n=n||{})){if((f=Math.max(0|n.color,0))<0)throw new Error("gl-fbo: Must specify a nonnegative number of colors");if(f>1){if(!u)throw new Error("gl-fbo: Multiple draw buffer extension not supported");if(f>t.getParameter(u.MAX_COLOR_ATTACHMENTS_WEBGL))throw new Error("gl-fbo: Context does not support "+f+" draw buffers")}}var h=t.UNSIGNED_BYTE,p=t.getExtension("OES_texture_float");if(n.float&&f>0){if(!p)throw new Error("gl-fbo: Context does not support floating point textures");h=t.FLOAT}else n.preferFloat&&f>0&&p&&(h=t.FLOAT);var v=!0;"depth"in n&&(v=!!n.depth);var g=!1;return"stencil"in n&&(g=!!n.stencil),new d(t,e,r,h,f,v,g,u)};var i,a,o,s,l=null;function u(t){return[t.getParameter(t.FRAMEBUFFER_BINDING),t.getParameter(t.RENDERBUFFER_BINDING),t.getParameter(t.TEXTURE_BINDING_2D)]}function c(t,e){t.bindFramebuffer(t.FRAMEBUFFER,e[0]),t.bindRenderbuffer(t.RENDERBUFFER,e[1]),t.bindTexture(t.TEXTURE_2D,e[2])}function f(t){switch(t){case i:throw new Error("gl-fbo: Framebuffer unsupported");case a:throw new Error("gl-fbo: Framebuffer incomplete attachment");case o:throw new Error("gl-fbo: Framebuffer incomplete dimensions");case s:throw new Error("gl-fbo: Framebuffer incomplete missing attachment");default:throw new Error("gl-fbo: Framebuffer failed for unspecified reason")}}function h(t,e,r,i,a,o){if(!i)return null;var s=n(t,e,r,a,i);return 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x=r.checkFramebufferStatus(r.FRAMEBUFFER);if(x!==r.FRAMEBUFFER_COMPLETE){for(t._destroyed=!0,r.bindFramebuffer(r.FRAMEBUFFER,null),r.deleteFramebuffer(t.handle),t.handle=null,t.depth&&(t.depth.dispose(),t.depth=null),t._depth_rb&&(r.deleteRenderbuffer(t._depth_rb),t._depth_rb=null),y=0;yi||r<0||r>i)throw new Error("gl-fbo: Can't resize FBO, invalid dimensions");t._shape[0]=e,t._shape[1]=r;for(var a=u(n),o=0;o>8*p&255;this.pickOffset=r,i.bind();var d=i.uniforms;d.viewTransform=t,d.pickOffset=e,d.shape=this.shape;var v=i.attributes;return this.positionBuffer.bind(),v.position.pointer(),this.weightBuffer.bind(),v.weight.pointer(s.UNSIGNED_BYTE,!1),this.idBuffer.bind(),v.pickId.pointer(s.UNSIGNED_BYTE,!1),s.drawArrays(s.TRIANGLES,0,o),r+this.shape[0]*this.shape[1]}}}(),f.pick=function(t,e,r){var n=this.pickOffset,i=this.shape[0]*this.shape[1];if(r=n+i)return null;var a=r-n,o=this.xData,s=this.yData;return{object:this,pointId:a,dataCoord:[o[a%this.shape[0]],s[a/this.shape[0]|0]]}},f.update=function(t){var e=(t=t||{}).shape||[0,0],r=t.x||i(e[0]),o=t.y||i(e[1]),s=t.z||new Float32Array(e[0]*e[1]),l=!1!==t.zsmooth;this.xData=r,this.yData=o;var u,c,f,p,d=t.colorLevels||[0],v=t.colorValues||[0,0,0,1],g=d.length,y=this.bounds;l?(u=y[0]=r[0],c=y[1]=o[0],f=y[2]=r[r.length-1],p=y[3]=o[o.length-1]):(u=y[0]=r[0]+(r[1]-r[0])/2,c=y[1]=o[0]+(o[1]-o[0])/2,f=y[2]=r[r.length-1]+(r[r.length-1]-r[r.length-2])/2,p=y[3]=o[o.length-1]+(o[o.length-1]-o[o.length-2])/2);var m=1/(f-u),x=1/(p-c),b=e[0],_=e[1];this.shape=[b,_];var w=(l?(b-1)*(_-1):b*_)*(h.length>>>1);this.numVertices=w;for(var T=a.mallocUint8(4*w),k=a.mallocFloat32(2*w),A=a.mallocUint8(2*w),M=a.mallocUint32(w),S=0,E=l?b-1:b,L=l?_-1:_,C=0;C max(a, b)) || \n (p < min(a, b)));\n}\n\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\n return (outOfRange(a.x, b.x, p.x) ||\n outOfRange(a.y, b.y, p.y));\n}\n\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\n return (outOfRange(a.x, b.x, p.x) ||\n outOfRange(a.y, b.y, p.y) ||\n outOfRange(a.z, b.z, p.z));\n}\n\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\n return outOfRange(a.xyz, b.xyz, p.xyz);\n}\n\nuniform vec3 clipBounds[2];\nuniform sampler2D dashTexture;\nuniform float dashScale;\nuniform float opacity;\n\nvarying vec3 worldPosition;\nvarying float pixelArcLength;\nvarying vec4 fragColor;\n\nvoid main() {\n if (\n outOfRange(clipBounds[0], clipBounds[1], worldPosition) ||\n fragColor.a * opacity == 0.\n ) discard;\n\n float dashWeight = texture2D(dashTexture, vec2(dashScale * pixelArcLength, 0)).r;\n if(dashWeight < 0.5) {\n discard;\n }\n gl_FragColor = fragColor * opacity;\n}\n"]),s=n(["precision highp float;\n#define GLSLIFY 1\n\n#define FLOAT_MAX 1.70141184e38\n#define FLOAT_MIN 1.17549435e-38\n\n// https://github.com/mikolalysenko/glsl-read-float/blob/master/index.glsl\nvec4 packFloat(float v) {\n float av = abs(v);\n\n //Handle special cases\n if(av < FLOAT_MIN) {\n return vec4(0.0, 0.0, 0.0, 0.0);\n } else if(v > FLOAT_MAX) {\n return vec4(127.0, 128.0, 0.0, 0.0) / 255.0;\n } else if(v < -FLOAT_MAX) {\n return vec4(255.0, 128.0, 0.0, 0.0) / 255.0;\n }\n\n vec4 c = vec4(0,0,0,0);\n\n //Compute exponent and mantissa\n float e = floor(log2(av));\n float m = av * pow(2.0, -e) - 1.0;\n\n //Unpack mantissa\n c[1] = floor(128.0 * m);\n m -= c[1] / 128.0;\n c[2] = floor(32768.0 * m);\n m -= c[2] / 32768.0;\n c[3] = floor(8388608.0 * m);\n\n //Unpack exponent\n float ebias = e + 127.0;\n c[0] = floor(ebias / 2.0);\n ebias -= c[0] * 2.0;\n c[1] += floor(ebias) * 128.0;\n\n //Unpack sign bit\n c[0] += 128.0 * step(0.0, -v);\n\n //Scale back to range\n return c / 255.0;\n}\n\nbool outOfRange(float a, float b, float p) {\n return ((p > max(a, b)) || \n (p < min(a, b)));\n}\n\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\n return (outOfRange(a.x, b.x, p.x) ||\n outOfRange(a.y, b.y, p.y));\n}\n\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\n return (outOfRange(a.x, b.x, p.x) ||\n outOfRange(a.y, b.y, p.y) ||\n outOfRange(a.z, b.z, p.z));\n}\n\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\n return outOfRange(a.xyz, b.xyz, p.xyz);\n}\n\nuniform float pickId;\nuniform vec3 clipBounds[2];\n\nvarying vec3 worldPosition;\nvarying float pixelArcLength;\nvarying vec4 fragColor;\n\nvoid main() {\n if (outOfRange(clipBounds[0], clipBounds[1], worldPosition)) discard;\n\n gl_FragColor = vec4(pickId/255.0, packFloat(pixelArcLength).xyz);\n}"]),l=[{name:"position",type:"vec3"},{name:"nextPosition",type:"vec3"},{name:"arcLength",type:"float"},{name:"lineWidth",type:"float"},{name:"color",type:"vec4"}];e.createShader=function(t){return i(t,a,o,null,l)},e.createPickShader=function(t){return i(t,a,s,null,l)}},6086:function(t,e,r){"use strict";t.exports=function(t){var e=t.gl||t.scene&&t.scene.gl,r=f(e);r.attributes.position.location=0,r.attributes.nextPosition.location=1,r.attributes.arcLength.location=2,r.attributes.lineWidth.location=3,r.attributes.color.location=4;var o=h(e);o.attributes.position.location=0,o.attributes.nextPosition.location=1,o.attributes.arcLength.location=2,o.attributes.lineWidth.location=3,o.attributes.color.location=4;for(var s=n(e),l=i(e,[{buffer:s,size:3,offset:0,stride:48},{buffer:s,size:3,offset:12,stride:48},{buffer:s,size:1,offset:24,stride:48},{buffer:s,size:1,offset:28,stride:48},{buffer:s,size:4,offset:32,stride:48}]),c=u(new Array(1024),[256,1,4]),p=0;p<1024;++p)c.data[p]=255;var d=a(e,c);d.wrap=e.REPEAT;var v=new y(e,r,o,s,l,d);return v.update(t),v};var n=r(5827),i=r(2944),a=r(8931),o=new Uint8Array(4),s=new Float32Array(o.buffer),l=r(5070),u=r(5050),c=r(248),f=c.createShader,h=c.createPickShader,p=[1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1];function d(t,e){for(var r=0,n=0;n<3;++n){var i=t[n]-e[n];r+=i*i}return Math.sqrt(r)}function v(t){for(var e=[[-1e6,-1e6,-1e6],[1e6,1e6,1e6]],r=0;r<3;++r)e[0][r]=Math.max(t[0][r],e[0][r]),e[1][r]=Math.min(t[1][r],e[1][r]);return e}function g(t,e,r,n){this.arcLength=t,this.position=e,this.index=r,this.dataCoordinate=n}function y(t,e,r,n,i,a){this.gl=t,this.shader=e,this.pickShader=r,this.buffer=n,this.vao=i,this.clipBounds=[[-1/0,-1/0,-1/0],[1/0,1/0,1/0]],this.points=[],this.arcLength=[],this.vertexCount=0,this.bounds=[[0,0,0],[0,0,0]],this.pickId=0,this.lineWidth=1,this.texture=a,this.dashScale=1,this.opacity=1,this.hasAlpha=!1,this.dirty=!0,this.pixelRatio=1}var m=y.prototype;m.isTransparent=function(){return this.hasAlpha},m.isOpaque=function(){return!this.hasAlpha},m.pickSlots=1,m.setPickBase=function(t){this.pickId=t},m.drawTransparent=m.draw=function(t){if(this.vertexCount){var e=this.gl,r=this.shader,n=this.vao;r.bind(),r.uniforms={model:t.model||p,view:t.view||p,projection:t.projection||p,clipBounds:v(this.clipBounds),dashTexture:this.texture.bind(),dashScale:this.dashScale/this.arcLength[this.arcLength.length-1],opacity:this.opacity,screenShape:[e.drawingBufferWidth,e.drawingBufferHeight],pixelRatio:this.pixelRatio},n.bind(),n.draw(e.TRIANGLE_STRIP,this.vertexCount),n.unbind()}},m.drawPick=function(t){if(this.vertexCount){var e=this.gl,r=this.pickShader,n=this.vao;r.bind(),r.uniforms={model:t.model||p,view:t.view||p,projection:t.projection||p,pickId:this.pickId,clipBounds:v(this.clipBounds),screenShape:[e.drawingBufferWidth,e.drawingBufferHeight],pixelRatio:this.pixelRatio},n.bind(),n.draw(e.TRIANGLE_STRIP,this.vertexCount),n.unbind()}},m.update=function(t){var e,r;this.dirty=!0;var n=!!t.connectGaps;"dashScale"in t&&(this.dashScale=t.dashScale),this.hasAlpha=!1,"opacity"in t&&(this.opacity=+t.opacity,this.opacity<1&&(this.hasAlpha=!0));var i=[],a=[],o=[],s=0,c=0,f=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]],h=t.position||t.positions;if(h){var p=t.color||t.colors||[0,0,0,1],v=t.lineWidth||1,g=!1;t:for(e=1;e0){for(var w=0;w<24;++w)i.push(i[i.length-12]);c+=2,g=!0}continue t}f[0][r]=Math.min(f[0][r],b[r],_[r]),f[1][r]=Math.max(f[1][r],b[r],_[r])}Array.isArray(p[0])?(y=p.length>e-1?p[e-1]:p.length>0?p[p.length-1]:[0,0,0,1],m=p.length>e?p[e]:p.length>0?p[p.length-1]:[0,0,0,1]):y=m=p,3===y.length&&(y=[y[0],y[1],y[2],1]),3===m.length&&(m=[m[0],m[1],m[2],1]),!this.hasAlpha&&y[3]<1&&(this.hasAlpha=!0),x=Array.isArray(v)?v.length>e-1?v[e-1]:v.length>0?v[v.length-1]:[0,0,0,1]:v;var T=s;if(s+=d(b,_),g){for(r=0;r<2;++r)i.push(b[0],b[1],b[2],_[0],_[1],_[2],T,x,y[0],y[1],y[2],y[3]);c+=2,g=!1}i.push(b[0],b[1],b[2],_[0],_[1],_[2],T,x,y[0],y[1],y[2],y[3],b[0],b[1],b[2],_[0],_[1],_[2],T,-x,y[0],y[1],y[2],y[3],_[0],_[1],_[2],b[0],b[1],b[2],s,-x,m[0],m[1],m[2],m[3],_[0],_[1],_[2],b[0],b[1],b[2],s,x,m[0],m[1],m[2],m[3]),c+=4}}if(this.buffer.update(i),a.push(s),o.push(h[h.length-1].slice()),this.bounds=f,this.vertexCount=c,this.points=o,this.arcLength=a,"dashes"in t){var k=t.dashes.slice();for(k.unshift(0),e=1;e1.0001)return null;y+=g[f]}return Math.abs(y-1)>.001?null:[h,s(t,g),g]}},2056:function(t,e,r){var n=r(6832),i=n(["precision highp float;\n#define GLSLIFY 1\n\nattribute vec3 position, normal;\nattribute vec4 color;\nattribute vec2 uv;\n\nuniform mat4 model\n , view\n , projection\n , inverseModel;\nuniform vec3 eyePosition\n , lightPosition;\n\nvarying vec3 f_normal\n , f_lightDirection\n , f_eyeDirection\n , f_data;\nvarying vec4 f_color;\nvarying vec2 f_uv;\n\nvec4 project(vec3 p) {\n return projection * view * model * vec4(p, 1.0);\n}\n\nvoid main() {\n gl_Position = project(position);\n\n //Lighting geometry parameters\n vec4 cameraCoordinate = view * vec4(position , 1.0);\n cameraCoordinate.xyz /= cameraCoordinate.w;\n f_lightDirection = lightPosition - cameraCoordinate.xyz;\n f_eyeDirection = eyePosition - cameraCoordinate.xyz;\n f_normal = normalize((vec4(normal, 0.0) * inverseModel).xyz);\n\n f_color = color;\n f_data = position;\n f_uv = uv;\n}\n"]),a=n(["#extension GL_OES_standard_derivatives : enable\n\nprecision highp float;\n#define GLSLIFY 1\n\nfloat beckmannDistribution(float x, float roughness) {\n float NdotH = max(x, 0.0001);\n float cos2Alpha = NdotH * NdotH;\n float tan2Alpha = (cos2Alpha - 1.0) / cos2Alpha;\n float roughness2 = roughness * roughness;\n float denom = 3.141592653589793 * roughness2 * cos2Alpha * cos2Alpha;\n return exp(tan2Alpha / roughness2) / denom;\n}\n\nfloat cookTorranceSpecular(\n vec3 lightDirection,\n vec3 viewDirection,\n vec3 surfaceNormal,\n float roughness,\n float fresnel) {\n\n float VdotN = max(dot(viewDirection, surfaceNormal), 0.0);\n float LdotN = max(dot(lightDirection, surfaceNormal), 0.0);\n\n //Half angle vector\n vec3 H = normalize(lightDirection + viewDirection);\n\n //Geometric term\n float NdotH = max(dot(surfaceNormal, H), 0.0);\n float VdotH = max(dot(viewDirection, H), 0.000001);\n float LdotH = max(dot(lightDirection, H), 0.000001);\n float G1 = (2.0 * NdotH * VdotN) / VdotH;\n float G2 = (2.0 * NdotH * LdotN) / LdotH;\n float G = min(1.0, min(G1, G2));\n \n //Distribution term\n float D = beckmannDistribution(NdotH, roughness);\n\n //Fresnel term\n float F = pow(1.0 - VdotN, fresnel);\n\n //Multiply terms and done\n return G * F * D / max(3.14159265 * VdotN, 0.000001);\n}\n\n//#pragma glslify: beckmann = require(glsl-specular-beckmann) // used in gl-surface3d\n\nbool outOfRange(float a, float b, float p) {\n return ((p > max(a, b)) || \n (p < min(a, b)));\n}\n\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\n return (outOfRange(a.x, b.x, p.x) ||\n outOfRange(a.y, b.y, p.y));\n}\n\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\n return (outOfRange(a.x, b.x, p.x) ||\n outOfRange(a.y, b.y, p.y) ||\n outOfRange(a.z, b.z, p.z));\n}\n\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\n return outOfRange(a.xyz, b.xyz, p.xyz);\n}\n\nuniform vec3 clipBounds[2];\nuniform float roughness\n , fresnel\n , kambient\n , kdiffuse\n , kspecular;\nuniform sampler2D texture;\n\nvarying vec3 f_normal\n , f_lightDirection\n , f_eyeDirection\n , f_data;\nvarying vec4 f_color;\nvarying vec2 f_uv;\n\nvoid main() {\n if (f_color.a == 0.0 ||\n outOfRange(clipBounds[0], clipBounds[1], f_data)\n ) discard;\n\n vec3 N = normalize(f_normal);\n vec3 L = normalize(f_lightDirection);\n vec3 V = normalize(f_eyeDirection);\n\n if(gl_FrontFacing) {\n N = -N;\n }\n\n float specular = min(1.0, max(0.0, cookTorranceSpecular(L, V, N, roughness, fresnel)));\n //float specular = max(0.0, beckmann(L, V, N, roughness)); // used in gl-surface3d\n\n float diffuse = min(kambient + kdiffuse * max(dot(N, L), 0.0), 1.0);\n\n vec4 surfaceColor = vec4(f_color.rgb, 1.0) * texture2D(texture, f_uv);\n vec4 litColor = surfaceColor.a * vec4(diffuse * surfaceColor.rgb + kspecular * vec3(1,1,1) * specular, 1.0);\n\n gl_FragColor = litColor * f_color.a;\n}\n"]),o=n(["precision highp float;\n#define GLSLIFY 1\n\nattribute vec3 position;\nattribute vec4 color;\nattribute vec2 uv;\n\nuniform mat4 model, view, projection;\n\nvarying vec4 f_color;\nvarying vec3 f_data;\nvarying vec2 f_uv;\n\nvoid main() {\n gl_Position = projection * view * model * vec4(position, 1.0);\n f_color = color;\n f_data = position;\n f_uv = uv;\n}"]),s=n(["precision highp float;\n#define GLSLIFY 1\n\nbool outOfRange(float a, float b, float p) {\n return ((p > max(a, b)) || \n (p < min(a, b)));\n}\n\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\n return (outOfRange(a.x, b.x, p.x) ||\n outOfRange(a.y, b.y, p.y));\n}\n\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\n return (outOfRange(a.x, b.x, p.x) ||\n outOfRange(a.y, b.y, p.y) ||\n outOfRange(a.z, b.z, p.z));\n}\n\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\n return outOfRange(a.xyz, b.xyz, p.xyz);\n}\n\nuniform vec3 clipBounds[2];\nuniform sampler2D texture;\nuniform float opacity;\n\nvarying vec4 f_color;\nvarying vec3 f_data;\nvarying vec2 f_uv;\n\nvoid main() {\n if (outOfRange(clipBounds[0], clipBounds[1], f_data)) discard;\n\n gl_FragColor = f_color * texture2D(texture, f_uv) * opacity;\n}"]),l=n(["precision highp float;\n#define GLSLIFY 1\n\nbool outOfRange(float a, float b, float p) {\n return ((p > max(a, b)) || \n (p < min(a, b)));\n}\n\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\n return (outOfRange(a.x, b.x, p.x) ||\n outOfRange(a.y, b.y, p.y));\n}\n\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\n return (outOfRange(a.x, b.x, p.x) ||\n outOfRange(a.y, b.y, p.y) ||\n outOfRange(a.z, b.z, p.z));\n}\n\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\n return outOfRange(a.xyz, b.xyz, p.xyz);\n}\n\nattribute vec3 position;\nattribute vec4 color;\nattribute vec2 uv;\nattribute float pointSize;\n\nuniform mat4 model, view, projection;\nuniform vec3 clipBounds[2];\n\nvarying vec4 f_color;\nvarying vec2 f_uv;\n\nvoid main() {\n if (outOfRange(clipBounds[0], clipBounds[1], position)) {\n\n gl_Position = vec4(0.0, 0.0 ,0.0 ,0.0);\n } else {\n gl_Position = projection * view * model * vec4(position, 1.0);\n }\n gl_PointSize = pointSize;\n f_color = color;\n f_uv = uv;\n}"]),u=n(["precision highp float;\n#define GLSLIFY 1\n\nuniform sampler2D texture;\nuniform float opacity;\n\nvarying vec4 f_color;\nvarying vec2 f_uv;\n\nvoid main() {\n vec2 pointR = gl_PointCoord.xy - vec2(0.5, 0.5);\n if(dot(pointR, pointR) > 0.25) {\n discard;\n }\n gl_FragColor = f_color * texture2D(texture, f_uv) * opacity;\n}"]),c=n(["precision highp float;\n#define GLSLIFY 1\n\nattribute vec3 position;\nattribute vec4 id;\n\nuniform mat4 model, view, projection;\n\nvarying vec3 f_position;\nvarying vec4 f_id;\n\nvoid main() {\n gl_Position = projection * view * model * vec4(position, 1.0);\n f_id = id;\n f_position = position;\n}"]),f=n(["precision highp float;\n#define GLSLIFY 1\n\nbool outOfRange(float a, float b, float p) {\n return ((p > max(a, b)) || \n (p < min(a, b)));\n}\n\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\n return (outOfRange(a.x, b.x, p.x) ||\n outOfRange(a.y, b.y, p.y));\n}\n\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\n return (outOfRange(a.x, b.x, p.x) ||\n outOfRange(a.y, b.y, p.y) ||\n outOfRange(a.z, b.z, p.z));\n}\n\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\n return outOfRange(a.xyz, b.xyz, p.xyz);\n}\n\nuniform vec3 clipBounds[2];\nuniform float pickId;\n\nvarying vec3 f_position;\nvarying vec4 f_id;\n\nvoid main() {\n if (outOfRange(clipBounds[0], clipBounds[1], f_position)) discard;\n\n gl_FragColor = vec4(pickId, f_id.xyz);\n}"]),h=n(["precision highp float;\n#define GLSLIFY 1\n\nbool outOfRange(float a, float b, float p) {\n return ((p > max(a, b)) || \n (p < min(a, b)));\n}\n\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\n return (outOfRange(a.x, b.x, p.x) ||\n outOfRange(a.y, b.y, p.y));\n}\n\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\n return (outOfRange(a.x, b.x, p.x) ||\n outOfRange(a.y, b.y, p.y) ||\n outOfRange(a.z, b.z, p.z));\n}\n\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\n return outOfRange(a.xyz, b.xyz, p.xyz);\n}\n\nattribute vec3 position;\nattribute float pointSize;\nattribute vec4 id;\n\nuniform mat4 model, view, projection;\nuniform vec3 clipBounds[2];\n\nvarying vec3 f_position;\nvarying vec4 f_id;\n\nvoid main() {\n if (outOfRange(clipBounds[0], clipBounds[1], position)) {\n\n gl_Position = vec4(0.0, 0.0, 0.0, 0.0);\n } else {\n gl_Position = projection * view * model * vec4(position, 1.0);\n gl_PointSize = pointSize;\n }\n f_id = id;\n f_position = position;\n}"]),p=n(["precision highp float;\n#define GLSLIFY 1\n\nattribute vec3 position;\n\nuniform mat4 model, view, projection;\n\nvoid main() {\n gl_Position = projection * view * model * vec4(position, 1.0);\n}"]),d=n(["precision highp float;\n#define GLSLIFY 1\n\nuniform vec3 contourColor;\n\nvoid main() {\n gl_FragColor = vec4(contourColor, 1.0);\n}\n"]);e.meshShader={vertex:i,fragment:a,attributes:[{name:"position",type:"vec3"},{name:"normal",type:"vec3"},{name:"color",type:"vec4"},{name:"uv",type:"vec2"}]},e.wireShader={vertex:o,fragment:s,attributes:[{name:"position",type:"vec3"},{name:"color",type:"vec4"},{name:"uv",type:"vec2"}]},e.pointShader={vertex:l,fragment:u,attributes:[{name:"position",type:"vec3"},{name:"color",type:"vec4"},{name:"uv",type:"vec2"},{name:"pointSize",type:"float"}]},e.pickShader={vertex:c,fragment:f,attributes:[{name:"position",type:"vec3"},{name:"id",type:"vec4"}]},e.pointPickShader={vertex:h,fragment:f,attributes:[{name:"position",type:"vec3"},{name:"pointSize",type:"float"},{name:"id",type:"vec4"}]},e.contourShader={vertex:p,fragment:d,attributes:[{name:"position",type:"vec3"}]}},8116:function(t,e,r){"use strict";var n=r(5158),i=r(5827),a=r(2944),o=r(8931),s=r(115),l=r(104),u=r(7437),c=r(5050),f=r(9156),h=r(7212),p=r(5306),d=r(2056),v=r(4340),g=d.meshShader,y=d.wireShader,m=d.pointShader,x=d.pickShader,b=d.pointPickShader,_=d.contourShader,w=[1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1];function T(t,e,r,n,i,a,o,s,l,u,c,f,h,p,d,v,g,y,m,x,b,_,T,k,A,M,S){this.gl=t,this.pixelRatio=1,this.cells=[],this.positions=[],this.intensity=[],this.texture=e,this.dirty=!0,this.triShader=r,this.lineShader=n,this.pointShader=i,this.pickShader=a,this.pointPickShader=o,this.contourShader=s,this.trianglePositions=l,this.triangleColors=c,this.triangleNormals=h,this.triangleUVs=f,this.triangleIds=u,this.triangleVAO=p,this.triangleCount=0,this.lineWidth=1,this.edgePositions=d,this.edgeColors=g,this.edgeUVs=y,this.edgeIds=v,this.edgeVAO=m,this.edgeCount=0,this.pointPositions=x,this.pointColors=_,this.pointUVs=T,this.pointSizes=k,this.pointIds=b,this.pointVAO=A,this.pointCount=0,this.contourLineWidth=1,this.contourPositions=M,this.contourVAO=S,this.contourCount=0,this.contourColor=[0,0,0],this.contourEnable=!0,this.pickVertex=!0,this.pickId=1,this.bounds=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]],this.clipBounds=[[-1/0,-1/0,-1/0],[1/0,1/0,1/0]],this.lightPosition=[1e5,1e5,0],this.ambientLight=.8,this.diffuseLight=.8,this.specularLight=2,this.roughness=.5,this.fresnel=1.5,this.opacity=1,this.hasAlpha=!1,this.opacityscale=!1,this._model=w,this._view=w,this._projection=w,this._resolution=[1,1]}var k=T.prototype;function A(t,e){if(!e)return 1;if(!e.length)return 1;for(var r=0;rt&&r>0){var n=(e[r][0]-t)/(e[r][0]-e[r-1][0]);return e[r][1]*(1-n)+n*e[r-1][1]}}return 1}function M(t){var e=n(t,m.vertex,m.fragment);return e.attributes.position.location=0,e.attributes.color.location=2,e.attributes.uv.location=3,e.attributes.pointSize.location=4,e}function S(t){var e=n(t,x.vertex,x.fragment);return e.attributes.position.location=0,e.attributes.id.location=1,e}function E(t){var e=n(t,b.vertex,b.fragment);return e.attributes.position.location=0,e.attributes.id.location=1,e.attributes.pointSize.location=4,e}function L(t){var e=n(t,_.vertex,_.fragment);return e.attributes.position.location=0,e}k.isOpaque=function(){return!this.hasAlpha},k.isTransparent=function(){return this.hasAlpha},k.pickSlots=1,k.setPickBase=function(t){this.pickId=t},k.highlight=function(t){if(t&&this.contourEnable){for(var e=h(this.cells,this.intensity,t.intensity),r=e.cells,n=e.vertexIds,i=e.vertexWeights,a=r.length,o=p.mallocFloat32(6*a),s=0,l=0;l0&&((f=this.triShader).bind(),f.uniforms=s,this.triangleVAO.bind(),e.drawArrays(e.TRIANGLES,0,3*this.triangleCount),this.triangleVAO.unbind()),this.edgeCount>0&&this.lineWidth>0&&((f=this.lineShader).bind(),f.uniforms=s,this.edgeVAO.bind(),e.lineWidth(this.lineWidth*this.pixelRatio),e.drawArrays(e.LINES,0,2*this.edgeCount),this.edgeVAO.unbind()),this.pointCount>0&&((f=this.pointShader).bind(),f.uniforms=s,this.pointVAO.bind(),e.drawArrays(e.POINTS,0,this.pointCount),this.pointVAO.unbind()),this.contourEnable&&this.contourCount>0&&this.contourLineWidth>0&&((f=this.contourShader).bind(),f.uniforms=s,this.contourVAO.bind(),e.drawArrays(e.LINES,0,this.contourCount),this.contourVAO.unbind())},k.drawPick=function(t){t=t||{};for(var e=this.gl,r=t.model||w,n=t.view||w,i=t.projection||w,a=[[-1e6,-1e6,-1e6],[1e6,1e6,1e6]],o=0;o<3;++o)a[0][o]=Math.max(a[0][o],this.clipBounds[0][o]),a[1][o]=Math.min(a[1][o],this.clipBounds[1][o]);this._model=[].slice.call(r),this._view=[].slice.call(n),this._projection=[].slice.call(i),this._resolution=[e.drawingBufferWidth,e.drawingBufferHeight];var s,l={model:r,view:n,projection:i,clipBounds:a,pickId:this.pickId/255};(s=this.pickShader).bind(),s.uniforms=l,this.triangleCount>0&&(this.triangleVAO.bind(),e.drawArrays(e.TRIANGLES,0,3*this.triangleCount),this.triangleVAO.unbind()),this.edgeCount>0&&(this.edgeVAO.bind(),e.lineWidth(this.lineWidth*this.pixelRatio),e.drawArrays(e.LINES,0,2*this.edgeCount),this.edgeVAO.unbind()),this.pointCount>0&&((s=this.pointPickShader).bind(),s.uniforms=l,this.pointVAO.bind(),e.drawArrays(e.POINTS,0,this.pointCount),this.pointVAO.unbind())},k.pick=function(t){if(!t)return null;if(t.id!==this.pickId)return null;for(var e=t.value[0]+256*t.value[1]+65536*t.value[2],r=this.cells[e],n=this.positions,i=new Array(r.length),a=0;ai[k]&&(r.uniforms.dataAxis=u,r.uniforms.screenOffset=c,r.uniforms.color=g[t],r.uniforms.angle=y[t],a.drawArrays(a.TRIANGLES,i[k],i[A]-i[k]))),m[t]&&T&&(c[1^t]-=M*p*x[t],r.uniforms.dataAxis=f,r.uniforms.screenOffset=c,r.uniforms.color=b[t],r.uniforms.angle=_[t],a.drawArrays(a.TRIANGLES,w,T)),c[1^t]=M*s[2+(1^t)]-1,d[t+2]&&(c[1^t]+=M*p*v[t+2],ki[k]&&(r.uniforms.dataAxis=u,r.uniforms.screenOffset=c,r.uniforms.color=g[t+2],r.uniforms.angle=y[t+2],a.drawArrays(a.TRIANGLES,i[k],i[A]-i[k]))),m[t+2]&&T&&(c[1^t]+=M*p*x[t+2],r.uniforms.dataAxis=f,r.uniforms.screenOffset=c,r.uniforms.color=b[t+2],r.uniforms.angle=_[t+2],a.drawArrays(a.TRIANGLES,w,T))}),v.drawTitle=function(){var t=[0,0],e=[0,0];return function(){var r=this.plot,n=this.shader,i=r.gl,a=r.screenBox,o=r.titleCenter,s=r.titleAngle,l=r.titleColor,u=r.pixelRatio;if(this.titleCount){for(var c=0;c<2;++c)e[c]=2*(o[c]*u-a[c])/(a[2+c]-a[c])-1;n.bind(),n.uniforms.dataAxis=t,n.uniforms.screenOffset=e,n.uniforms.angle=s,n.uniforms.color=l,i.drawArrays(i.TRIANGLES,this.titleOffset,this.titleCount)}}}(),v.bind=(h=[0,0],p=[0,0],d=[0,0],function(){var t=this.plot,e=this.shader,r=t._tickBounds,n=t.dataBox,i=t.screenBox,a=t.viewBox;e.bind();for(var o=0;o<2;++o){var s=r[o],l=r[o+2]-s,u=.5*(n[o+2]+n[o]),c=n[o+2]-n[o],f=a[o],v=a[o+2]-f,g=i[o],y=i[o+2]-g;p[o]=2*l/c*v/y,h[o]=2*(s-u)/c*v/y}d[1]=2*t.pixelRatio/(i[3]-i[1]),d[0]=d[1]*(i[3]-i[1])/(i[2]-i[0]),e.uniforms.dataScale=p,e.uniforms.dataShift=h,e.uniforms.textScale=d,this.vbo.bind(),e.attributes.textCoordinate.pointer()}),v.update=function(t){var e,r,n,i,o,s=[],l=t.ticks,u=t.bounds;for(o=0;o<2;++o){var c=[Math.floor(s.length/3)],f=[-1/0],h=l[o];for(e=0;e=0){var v=e[d]-n[d]*(e[d+2]-e[d])/(n[d+2]-n[d]);0===d?o.drawLine(v,e[1],v,e[3],p[d],h[d]):o.drawLine(e[0],v,e[2],v,p[d],h[d])}}for(d=0;d=0;--t)this.objects[t].dispose();for(this.objects.length=0,t=this.overlays.length-1;t>=0;--t)this.overlays[t].dispose();this.overlays.length=0,this.gl=null},u.addObject=function(t){this.objects.indexOf(t)<0&&(this.objects.push(t),this.setDirty())},u.removeObject=function(t){for(var e=this.objects,r=0;rMath.abs(e))u.rotate(a,0,0,-t*r*Math.PI*d.rotateSpeed/window.innerWidth);else if(!d._ortho){var o=-d.zoomSpeed*i*e/window.innerHeight*(a-u.lastT())/20;u.pan(a,0,0,f*(Math.exp(o)-1))}}}),!0)},d.enableMouseListeners(),d};var n=r(8161),i=r(1152),a=r(6145),o=r(6475),s=r(2565),l=r(5233)},8245:function(t,e,r){var n=r(6832),i=r(5158),a=n(["precision mediump float;\n#define GLSLIFY 1\nattribute vec2 position;\nvarying vec2 uv;\nvoid main() {\n uv = position;\n gl_Position = vec4(position, 0, 1);\n}"]),o=n(["precision mediump float;\n#define GLSLIFY 1\n\nuniform sampler2D accumBuffer;\nvarying vec2 uv;\n\nvoid main() {\n vec4 accum = texture2D(accumBuffer, 0.5 * (uv + 1.0));\n gl_FragColor = min(vec4(1,1,1,1), accum);\n}"]);t.exports=function(t){return i(t,a,o,null,[{name:"position",type:"vec2"}])}},1059:function(t,e,r){"use strict";var n=r(4296),i=r(7453),a=r(2771),o=r(6496),s=r(2611),l=r(4234),u=r(8126),c=r(6145),f=r(1120),h=r(5268),p=r(8245),d=r(2321)({tablet:!0,featureDetect:!0});function v(){this.mouse=[-1,-1],this.screen=null,this.distance=1/0,this.index=null,this.dataCoordinate=null,this.dataPosition=null,this.object=null,this.data=null}function g(t){var e=Math.round(Math.log(Math.abs(t))/Math.log(10));if(e<0){var r=Math.round(Math.pow(10,-e));return Math.ceil(t*r)/r}return e>0?(r=Math.round(Math.pow(10,e)),Math.ceil(t/r)*r):Math.ceil(t)}function y(t){return"boolean"!=typeof t||t}t.exports={createScene:function(t){(t=t||{}).camera=t.camera||{};var e=t.canvas;e||(e=document.createElement("canvas"),t.container?t.container.appendChild(e):document.body.appendChild(e));var r=t.gl;if(r||(t.glOptions&&(d=!!t.glOptions.preserveDrawingBuffer),r=function(t,e){var r=null;try{(r=t.getContext("webgl",e))||(r=t.getContext("experimental-webgl",e))}catch(t){return null}return r}(e,t.glOptions||{premultipliedAlpha:!0,antialias:!0,preserveDrawingBuffer:d})),!r)throw new Error("webgl not supported");var m=t.bounds||[[-10,-10,-10],[10,10,10]],x=new v,b=l(r,r.drawingBufferWidth,r.drawingBufferHeight,{preferFloat:!d}),_=p(r),w=t.cameraObject&&!0===t.cameraObject._ortho||t.camera.projection&&"orthographic"===t.camera.projection.type||!1,T={eye:t.camera.eye||[2,0,0],center:t.camera.center||[0,0,0],up:t.camera.up||[0,1,0],zoomMin:t.camera.zoomMax||.1,zoomMax:t.camera.zoomMin||100,mode:t.camera.mode||"turntable",_ortho:w},k=t.axes||{},A=i(r,k);A.enable=!k.disable;var M=t.spikes||{},S=o(r,M),E=[],L=[],C=[],P=[],O=!0,I=!0,D={view:null,projection:new Array(16),model:new Array(16),_ortho:!1},z=(I=!0,[r.drawingBufferWidth,r.drawingBufferHeight]),R=t.cameraObject||n(e,T),F={gl:r,contextLost:!1,pixelRatio:t.pixelRatio||1,canvas:e,selection:x,camera:R,axes:A,axesPixels:null,spikes:S,bounds:m,objects:E,shape:z,aspect:t.aspectRatio||[1,1,1],pickRadius:t.pickRadius||10,zNear:t.zNear||.01,zFar:t.zFar||1e3,fovy:t.fovy||Math.PI/4,clearColor:t.clearColor||[0,0,0,0],autoResize:y(t.autoResize),autoBounds:y(t.autoBounds),autoScale:!!t.autoScale,autoCenter:y(t.autoCenter),clipToBounds:y(t.clipToBounds),snapToData:!!t.snapToData,onselect:t.onselect||null,onrender:t.onrender||null,onclick:t.onclick||null,cameraParams:D,oncontextloss:null,mouseListener:null,_stopped:!1,getAspectratio:function(){return{x:this.aspect[0],y:this.aspect[1],z:this.aspect[2]}},setAspectratio:function(t){this.aspect[0]=t.x,this.aspect[1]=t.y,this.aspect[2]=t.z,I=!0},setBounds:function(t,e){this.bounds[0][t]=e.min,this.bounds[1][t]=e.max},setClearColor:function(t){this.clearColor=t},clearRGBA:function(){this.gl.clearColor(this.clearColor[0],this.clearColor[1],this.clearColor[2],this.clearColor[3]),this.gl.clear(this.gl.COLOR_BUFFER_BIT|this.gl.DEPTH_BUFFER_BIT)}},B=[r.drawingBufferWidth/F.pixelRatio|0,r.drawingBufferHeight/F.pixelRatio|0];function N(){if(!F._stopped&&F.autoResize){var t=e.parentNode,r=1,n=1;t&&t!==document.body?(r=t.clientWidth,n=t.clientHeight):(r=window.innerWidth,n=window.innerHeight);var i=0|Math.ceil(r*F.pixelRatio),a=0|Math.ceil(n*F.pixelRatio);if(i!==e.width||a!==e.height){e.width=i,e.height=a;var o=e.style;o.position=o.position||"absolute",o.left="0px",o.top="0px",o.width=r+"px",o.height=n+"px",O=!0}}}function j(){for(var t=E.length,e=P.length,n=0;n0&&0===C[e-1];)C.pop(),P.pop().dispose()}function U(){if(F.contextLost)return!0;r.isContextLost()&&(F.contextLost=!0,F.mouseListener.enabled=!1,F.selection.object=null,F.oncontextloss&&F.oncontextloss())}F.autoResize&&N(),window.addEventListener("resize",N),F.update=function(t){F._stopped||(t=t||{},O=!0,I=!0)},F.add=function(t){F._stopped||(t.axes=A,E.push(t),L.push(-1),O=!0,I=!0,j())},F.remove=function(t){if(!F._stopped){var e=E.indexOf(t);e<0||(E.splice(e,1),L.pop(),O=!0,I=!0,j())}},F.dispose=function(){if(!F._stopped&&(F._stopped=!0,window.removeEventListener("resize",N),e.removeEventListener("webglcontextlost",U),F.mouseListener.enabled=!1,!F.contextLost)){A.dispose(),S.dispose();for(var t=0;tx.distance)continue;for(var u=0;u 1.0) {\n discard;\n }\n baseColor = mix(borderColor, color, step(radius, centerFraction));\n gl_FragColor = vec4(baseColor.rgb * baseColor.a, baseColor.a);\n }\n}\n"]),e.pickVertex=n(["precision mediump float;\n#define GLSLIFY 1\n\nattribute vec2 position;\nattribute vec4 pickId;\n\nuniform mat3 matrix;\nuniform float pointSize;\nuniform vec4 pickOffset;\n\nvarying vec4 fragId;\n\nvoid main() {\n vec3 hgPosition = matrix * vec3(position, 1);\n gl_Position = vec4(hgPosition.xy, 0, hgPosition.z);\n gl_PointSize = pointSize;\n\n vec4 id = pickId + pickOffset;\n id.y += floor(id.x / 256.0);\n id.x -= floor(id.x / 256.0) * 256.0;\n\n id.z += floor(id.y / 256.0);\n id.y -= floor(id.y / 256.0) * 256.0;\n\n id.w += floor(id.z / 256.0);\n id.z -= floor(id.z / 256.0) * 256.0;\n\n fragId = id;\n}\n"]),e.pickFragment=n(["precision mediump float;\n#define GLSLIFY 1\n\nvarying vec4 fragId;\n\nvoid main() {\n float radius = length(2.0 * gl_PointCoord.xy - 1.0);\n if(radius > 1.0) {\n discard;\n }\n gl_FragColor = fragId / 255.0;\n}\n"])},8271:function(t,e,r){"use strict";var n=r(5158),i=r(5827),a=r(5306),o=r(8023);function s(t,e,r,n,i){this.plot=t,this.offsetBuffer=e,this.pickBuffer=r,this.shader=n,this.pickShader=i,this.sizeMin=.5,this.sizeMinCap=2,this.sizeMax=20,this.areaRatio=1,this.pointCount=0,this.color=[1,0,0,1],this.borderColor=[0,0,0,1],this.blend=!1,this.pickOffset=0,this.points=null}t.exports=function(t,e){var r=t.gl,a=new s(t,i(r),i(r),n(r,o.pointVertex,o.pointFragment),n(r,o.pickVertex,o.pickFragment));return a.update(e),t.addObject(a),a};var l,u,c=s.prototype;c.dispose=function(){this.shader.dispose(),this.pickShader.dispose(),this.offsetBuffer.dispose(),this.pickBuffer.dispose(),this.plot.removeObject(this)},c.update=function(t){var e;function r(e,r){return e in t?t[e]:r}t=t||{},this.sizeMin=r("sizeMin",.5),this.sizeMax=r("sizeMax",20),this.color=r("color",[1,0,0,1]).slice(),this.areaRatio=r("areaRatio",1),this.borderColor=r("borderColor",[0,0,0,1]).slice(),this.blend=r("blend",!1);var n=t.positions.length>>>1,i=t.positions instanceof Float32Array,o=t.idToIndex instanceof Int32Array&&t.idToIndex.length>=n,s=t.positions,l=i?s:a.mallocFloat32(s.length),u=o?t.idToIndex:a.mallocInt32(n);if(i||l.set(s),!o)for(l.set(s),e=0;e>>1;for(r=0;r=e[0]&&a<=e[2]&&o>=e[1]&&o<=e[3]&&n++}return n}(this.points,i),c=this.plot.pickPixelRatio*Math.max(Math.min(this.sizeMinCap,this.sizeMin),Math.min(this.sizeMax,this.sizeMax/Math.pow(s,.33333)));l[0]=2/a,l[4]=2/o,l[6]=-2*i[0]/a-1,l[7]=-2*i[1]/o-1,this.offsetBuffer.bind(),r.bind(),r.attributes.position.pointer(),r.uniforms.matrix=l,r.uniforms.color=this.color,r.uniforms.borderColor=this.borderColor,r.uniforms.pointCloud=c<5,r.uniforms.pointSize=c,r.uniforms.centerFraction=Math.min(1,Math.max(0,Math.sqrt(1-this.areaRatio))),e&&(u[0]=255&t,u[1]=t>>8&255,u[2]=t>>16&255,u[3]=t>>24&255,this.pickBuffer.bind(),r.attributes.pickId.pointer(n.UNSIGNED_BYTE),r.uniforms.pickOffset=u,this.pickOffset=t);var f=n.getParameter(n.BLEND),h=n.getParameter(n.DITHER);return f&&!this.blend&&n.disable(n.BLEND),h&&n.disable(n.DITHER),n.drawArrays(n.POINTS,0,this.pointCount),f&&!this.blend&&n.enable(n.BLEND),h&&n.enable(n.DITHER),t+this.pointCount}),c.draw=c.unifiedDraw,c.drawPick=c.unifiedDraw,c.pick=function(t,e,r){var n=this.pickOffset,i=this.pointCount;if(r=n+i)return null;var a=r-n,o=this.points;return{object:this,pointId:a,dataCoord:[o[2*a],o[2*a+1]]}}},6093:function(t){t.exports=function(t,e,r,n){var i,a,o,s,l,u=e[0],c=e[1],f=e[2],h=e[3],p=r[0],d=r[1],v=r[2],g=r[3];return(a=u*p+c*d+f*v+h*g)<0&&(a=-a,p=-p,d=-d,v=-v,g=-g),1-a>1e-6?(i=Math.acos(a),o=Math.sin(i),s=Math.sin((1-n)*i)/o,l=Math.sin(n*i)/o):(s=1-n,l=n),t[0]=s*u+l*p,t[1]=s*c+l*d,t[2]=s*f+l*v,t[3]=s*h+l*g,t}},8240:function(t){"use strict";t.exports=function(t){return t||0===t?t.toString():""}},4123:function(t,e,r){"use strict";var n=r(875);t.exports=function(t,e,r){var a=i[e];if(a||(a=i[e]={}),t in a)return a[t];var o={textAlign:"center",textBaseline:"middle",lineHeight:1,font:e,lineSpacing:1.25,styletags:{breaklines:!0,bolds:!0,italics:!0,subscripts:!0,superscripts:!0},triangles:!0},s=n(t,o);o.triangles=!1;var l,u,c=n(t,o);if(r&&1!==r){for(l=0;l max(a, b)) || \n (p < min(a, b)));\n}\n\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\n return (outOfRange(a.x, b.x, p.x) ||\n outOfRange(a.y, b.y, p.y));\n}\n\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\n return (outOfRange(a.x, b.x, p.x) ||\n outOfRange(a.y, b.y, p.y) ||\n outOfRange(a.z, b.z, p.z));\n}\n\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\n return outOfRange(a.xyz, b.xyz, p.xyz);\n}\n\nattribute vec3 position;\nattribute vec4 color;\nattribute vec2 glyph;\nattribute vec4 id;\n\nuniform vec4 highlightId;\nuniform float highlightScale;\nuniform mat4 model, view, projection;\nuniform vec3 clipBounds[2];\n\nvarying vec4 interpColor;\nvarying vec4 pickId;\nvarying vec3 dataCoordinate;\n\nvoid main() {\n if (outOfRange(clipBounds[0], clipBounds[1], position)) {\n\n gl_Position = vec4(0,0,0,0);\n } else {\n float scale = 1.0;\n if(distance(highlightId, id) < 0.0001) {\n scale = highlightScale;\n }\n\n vec4 worldPosition = model * vec4(position, 1);\n vec4 viewPosition = view * worldPosition;\n viewPosition = viewPosition / viewPosition.w;\n vec4 clipPosition = projection * (viewPosition + scale * vec4(glyph.x, -glyph.y, 0, 0));\n\n gl_Position = clipPosition;\n interpColor = color;\n pickId = id;\n dataCoordinate = position;\n }\n}"]),o=i(["precision highp float;\n#define GLSLIFY 1\n\nbool outOfRange(float a, float b, float p) {\n return ((p > max(a, b)) || \n (p < min(a, b)));\n}\n\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\n return (outOfRange(a.x, b.x, p.x) ||\n outOfRange(a.y, b.y, p.y));\n}\n\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\n return (outOfRange(a.x, b.x, p.x) ||\n outOfRange(a.y, b.y, p.y) ||\n outOfRange(a.z, b.z, p.z));\n}\n\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\n return outOfRange(a.xyz, b.xyz, p.xyz);\n}\n\nattribute vec3 position;\nattribute vec4 color;\nattribute vec2 glyph;\nattribute vec4 id;\n\nuniform mat4 model, view, projection;\nuniform vec2 screenSize;\nuniform vec3 clipBounds[2];\nuniform float highlightScale, pixelRatio;\nuniform vec4 highlightId;\n\nvarying vec4 interpColor;\nvarying vec4 pickId;\nvarying vec3 dataCoordinate;\n\nvoid main() {\n if (outOfRange(clipBounds[0], clipBounds[1], position)) {\n\n gl_Position = vec4(0,0,0,0);\n } else {\n float scale = pixelRatio;\n if(distance(highlightId.bgr, id.bgr) < 0.001) {\n scale *= highlightScale;\n }\n\n vec4 worldPosition = model * vec4(position, 1.0);\n vec4 viewPosition = view * worldPosition;\n vec4 clipPosition = projection * viewPosition;\n clipPosition /= clipPosition.w;\n\n gl_Position = clipPosition + vec4(screenSize * scale * vec2(glyph.x, -glyph.y), 0.0, 0.0);\n interpColor = color;\n pickId = id;\n dataCoordinate = position;\n }\n}"]),s=i(["precision highp float;\n#define GLSLIFY 1\n\nbool outOfRange(float a, float b, float p) {\n return ((p > max(a, b)) || \n (p < min(a, b)));\n}\n\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\n return (outOfRange(a.x, b.x, p.x) ||\n outOfRange(a.y, b.y, p.y));\n}\n\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\n return (outOfRange(a.x, b.x, p.x) ||\n outOfRange(a.y, b.y, p.y) ||\n outOfRange(a.z, b.z, p.z));\n}\n\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\n return outOfRange(a.xyz, b.xyz, p.xyz);\n}\n\nattribute vec3 position;\nattribute vec4 color;\nattribute vec2 glyph;\nattribute vec4 id;\n\nuniform float highlightScale;\nuniform vec4 highlightId;\nuniform vec3 axes[2];\nuniform mat4 model, view, projection;\nuniform vec2 screenSize;\nuniform vec3 clipBounds[2];\nuniform float scale, pixelRatio;\n\nvarying vec4 interpColor;\nvarying vec4 pickId;\nvarying vec3 dataCoordinate;\n\nvoid main() {\n if (outOfRange(clipBounds[0], clipBounds[1], position)) {\n\n gl_Position = vec4(0,0,0,0);\n } else {\n float lscale = pixelRatio * scale;\n if(distance(highlightId, id) < 0.0001) {\n lscale *= highlightScale;\n }\n\n vec4 clipCenter = projection * view * model * vec4(position, 1);\n vec3 dataPosition = position + 0.5*lscale*(axes[0] * glyph.x + axes[1] * glyph.y) * clipCenter.w * screenSize.y;\n vec4 clipPosition = projection * view * model * vec4(dataPosition, 1);\n\n gl_Position = clipPosition;\n interpColor = color;\n pickId = id;\n dataCoordinate = dataPosition;\n }\n}\n"]),l=i(["precision highp float;\n#define GLSLIFY 1\n\nbool outOfRange(float a, float b, float p) {\n return ((p > max(a, b)) || \n (p < min(a, b)));\n}\n\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\n return (outOfRange(a.x, b.x, p.x) ||\n outOfRange(a.y, b.y, p.y));\n}\n\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\n return (outOfRange(a.x, b.x, p.x) ||\n outOfRange(a.y, b.y, p.y) ||\n outOfRange(a.z, b.z, p.z));\n}\n\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\n return outOfRange(a.xyz, b.xyz, p.xyz);\n}\n\nuniform vec3 fragClipBounds[2];\nuniform float opacity;\n\nvarying vec4 interpColor;\nvarying vec3 dataCoordinate;\n\nvoid main() {\n if (\n outOfRange(fragClipBounds[0], fragClipBounds[1], dataCoordinate) ||\n interpColor.a * opacity == 0.\n ) discard;\n gl_FragColor = interpColor * opacity;\n}\n"]),u=i(["precision highp float;\n#define GLSLIFY 1\n\nbool outOfRange(float a, float b, float p) {\n return ((p > max(a, b)) || \n (p < min(a, b)));\n}\n\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\n return (outOfRange(a.x, b.x, p.x) ||\n outOfRange(a.y, b.y, p.y));\n}\n\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\n return (outOfRange(a.x, b.x, p.x) ||\n outOfRange(a.y, b.y, p.y) ||\n outOfRange(a.z, b.z, p.z));\n}\n\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\n return outOfRange(a.xyz, b.xyz, p.xyz);\n}\n\nuniform vec3 fragClipBounds[2];\nuniform float pickGroup;\n\nvarying vec4 pickId;\nvarying vec3 dataCoordinate;\n\nvoid main() {\n if (outOfRange(fragClipBounds[0], fragClipBounds[1], dataCoordinate)) discard;\n\n gl_FragColor = vec4(pickGroup, pickId.bgr);\n}"]),c=[{name:"position",type:"vec3"},{name:"color",type:"vec4"},{name:"glyph",type:"vec2"},{name:"id",type:"vec4"}],f={vertex:a,fragment:l,attributes:c},h={vertex:o,fragment:l,attributes:c},p={vertex:s,fragment:l,attributes:c},d={vertex:a,fragment:u,attributes:c},v={vertex:o,fragment:u,attributes:c},g={vertex:s,fragment:u,attributes:c};function y(t,e){var r=n(t,e),i=r.attributes;return i.position.location=0,i.color.location=1,i.glyph.location=2,i.id.location=3,r}e.createPerspective=function(t){return y(t,f)},e.createOrtho=function(t){return y(t,h)},e.createProject=function(t){return y(t,p)},e.createPickPerspective=function(t){return y(t,d)},e.createPickOrtho=function(t){return y(t,v)},e.createPickProject=function(t){return y(t,g)}},2182:function(t,e,r){"use strict";var n=r(3596),i=r(5827),a=r(2944),o=r(5306),s=r(104),l=r(9282),u=r(4123),c=r(8240),f=[1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1];function h(t,e){var r=t[0],n=t[1],i=t[2],a=t[3];return t[0]=e[0]*r+e[4]*n+e[8]*i+e[12]*a,t[1]=e[1]*r+e[5]*n+e[9]*i+e[13]*a,t[2]=e[2]*r+e[6]*n+e[10]*i+e[14]*a,t[3]=e[3]*r+e[7]*n+e[11]*i+e[15]*a,t}function p(t,e,r,n){return h(n,n),h(n,n),h(n,n)}function d(t,e){this.index=t,this.dataCoordinate=this.position=e}function v(t){return!0===t||t>1?1:t}function g(t,e,r,n,i,a,o,s,l,u,c,f){this.gl=t,this.pixelRatio=1,this.shader=e,this.orthoShader=r,this.projectShader=n,this.pointBuffer=i,this.colorBuffer=a,this.glyphBuffer=o,this.idBuffer=s,this.vao=l,this.vertexCount=0,this.lineVertexCount=0,this.opacity=1,this.hasAlpha=!1,this.lineWidth=0,this.projectScale=[2/3,2/3,2/3],this.projectOpacity=[1,1,1],this.projectHasAlpha=!1,this.pickId=0,this.pickPerspectiveShader=u,this.pickOrthoShader=c,this.pickProjectShader=f,this.points=[],this._selectResult=new d(0,[0,0,0]),this.useOrtho=!0,this.bounds=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]],this.axesProject=[!0,!0,!0],this.axesBounds=[[-1/0,-1/0,-1/0],[1/0,1/0,1/0]],this.highlightId=[1,1,1,1],this.highlightScale=2,this.clipBounds=[[-1/0,-1/0,-1/0],[1/0,1/0,1/0]],this.dirty=!0}t.exports=function(t){var e=t.gl,r=l.createPerspective(e),n=l.createOrtho(e),o=l.createProject(e),s=l.createPickPerspective(e),u=l.createPickOrtho(e),c=l.createPickProject(e),f=i(e),h=i(e),p=i(e),d=i(e),v=new g(e,r,n,o,f,h,p,d,a(e,[{buffer:f,size:3,type:e.FLOAT},{buffer:h,size:4,type:e.FLOAT},{buffer:p,size:2,type:e.FLOAT},{buffer:d,size:4,type:e.UNSIGNED_BYTE,normalized:!0}]),s,u,c);return v.update(t),v};var y=g.prototype;y.pickSlots=1,y.setPickBase=function(t){this.pickId=t},y.isTransparent=function(){if(this.hasAlpha)return!0;for(var t=0;t<3;++t)if(this.axesProject[t]&&this.projectHasAlpha)return!0;return!1},y.isOpaque=function(){if(!this.hasAlpha)return!0;for(var t=0;t<3;++t)if(this.axesProject[t]&&!this.projectHasAlpha)return!0;return!1};var m=[0,0],x=[0,0,0],b=[0,0,0],_=[0,0,0,1],w=[0,0,0,1],T=f.slice(),k=[0,0,0],A=[[0,0,0],[0,0,0]];function M(t){return t[0]=t[1]=t[2]=0,t}function S(t,e){return t[0]=e[0],t[1]=e[1],t[2]=e[2],t[3]=1,t}function E(t,e,r,n){return t[0]=e[0],t[1]=e[1],t[2]=e[2],t[r]=n,t}var L=[[-1e8,-1e8,-1e8],[1e8,1e8,1e8]];function C(t,e,r,n,i,a,o){var l=r.gl;if((a===r.projectHasAlpha||o)&&function(t,e,r,n){var i,a=e.axesProject,o=e.gl,l=t.uniforms,u=r.model||f,c=r.view||f,h=r.projection||f,d=e.axesBounds,v=function(t){for(var e=A,r=0;r<2;++r)for(var n=0;n<3;++n)e[r][n]=Math.max(Math.min(t[r][n],1e8),-1e8);return e}(e.clipBounds);i=e.axes&&e.axes.lastCubeProps?e.axes.lastCubeProps.axis:[1,1,1],m[0]=2/o.drawingBufferWidth,m[1]=2/o.drawingBufferHeight,t.bind(),l.view=c,l.projection=h,l.screenSize=m,l.highlightId=e.highlightId,l.highlightScale=e.highlightScale,l.clipBounds=v,l.pickGroup=e.pickId/255,l.pixelRatio=n;for(var g=0;g<3;++g)if(a[g]){l.scale=e.projectScale[g],l.opacity=e.projectOpacity[g];for(var y=T,L=0;L<16;++L)y[L]=0;for(L=0;L<4;++L)y[5*L]=1;y[5*g]=0,i[g]<0?y[12+g]=d[0][g]:y[12+g]=d[1][g],s(y,u,y),l.model=y;var C=(g+1)%3,P=(g+2)%3,O=M(x),I=M(b);O[C]=1,I[P]=1;var D=p(0,0,0,S(_,O)),z=p(0,0,0,S(w,I));if(Math.abs(D[1])>Math.abs(z[1])){var R=D;D=z,z=R,R=O,O=I,I=R;var F=C;C=P,P=F}D[0]<0&&(O[C]=-1),z[1]>0&&(I[P]=-1);var B=0,N=0;for(L=0;L<4;++L)B+=Math.pow(u[4*C+L],2),N+=Math.pow(u[4*P+L],2);O[C]/=Math.sqrt(B),I[P]/=Math.sqrt(N),l.axes[0]=O,l.axes[1]=I,l.fragClipBounds[0]=E(k,v[0],g,-1e8),l.fragClipBounds[1]=E(k,v[1],g,1e8),e.vao.bind(),e.vao.draw(o.TRIANGLES,e.vertexCount),e.lineWidth>0&&(o.lineWidth(e.lineWidth*n),e.vao.draw(o.LINES,e.lineVertexCount,e.vertexCount)),e.vao.unbind()}}(e,r,n,i),a===r.hasAlpha||o){t.bind();var u=t.uniforms;u.model=n.model||f,u.view=n.view||f,u.projection=n.projection||f,m[0]=2/l.drawingBufferWidth,m[1]=2/l.drawingBufferHeight,u.screenSize=m,u.highlightId=r.highlightId,u.highlightScale=r.highlightScale,u.fragClipBounds=L,u.clipBounds=r.axes.bounds,u.opacity=r.opacity,u.pickGroup=r.pickId/255,u.pixelRatio=i,r.vao.bind(),r.vao.draw(l.TRIANGLES,r.vertexCount),r.lineWidth>0&&(l.lineWidth(r.lineWidth*i),r.vao.draw(l.LINES,r.lineVertexCount,r.vertexCount)),r.vao.unbind()}}function P(t,e,r,i){var a;a=Array.isArray(t)?e=this.pointCount||e<0)return null;var r=this.points[e],n=this._selectResult;n.index=e;for(var i=0;i<3;++i)n.position[i]=n.dataCoordinate[i]=r[i];return n},y.highlight=function(t){if(t){var e=t.index,r=255&e,n=e>>8&255,i=e>>16&255;this.highlightId=[r/255,n/255,i/255,0]}else this.highlightId=[1,1,1,1]},y.update=function(t){if("perspective"in(t=t||{})&&(this.useOrtho=!t.perspective),"orthographic"in t&&(this.useOrtho=!!t.orthographic),"lineWidth"in t&&(this.lineWidth=t.lineWidth),"project"in t)if(Array.isArray(t.project))this.axesProject=t.project;else{var e=!!t.project;this.axesProject=[e,e,e]}if("projectScale"in t)if(Array.isArray(t.projectScale))this.projectScale=t.projectScale.slice();else{var r=+t.projectScale;this.projectScale=[r,r,r]}if(this.projectHasAlpha=!1,"projectOpacity"in t){Array.isArray(t.projectOpacity)?this.projectOpacity=t.projectOpacity.slice():(r=+t.projectOpacity,this.projectOpacity=[r,r,r]);for(var n=0;n<3;++n)this.projectOpacity[n]=v(this.projectOpacity[n]),this.projectOpacity[n]<1&&(this.projectHasAlpha=!0)}this.hasAlpha=!1,"opacity"in t&&(this.opacity=v(t.opacity),this.opacity<1&&(this.hasAlpha=!0)),this.dirty=!0;var i,a,s=t.position,l=t.font||"normal",u=t.alignment||[0,0];if(2===u.length)i=u[0],a=u[1];else for(i=[],a=[],n=0;n0){var I=0,D=x,z=[0,0,0,1],R=[0,0,0,1],F=Array.isArray(p)&&Array.isArray(p[0]),B=Array.isArray(y)&&Array.isArray(y[0]);t:for(n=0;n<_;++n){for(m+=1,w=s[n],T=0;T<3;++T){if(isNaN(w[T])||!isFinite(w[T]))continue t;f[T]=Math.max(f[T],w[T]),c[T]=Math.min(c[T],w[T])}k=(N=P(h,n,l,this.pixelRatio)).mesh,A=N.lines,M=N.bounds;var N,j=N.visible;if(j)if(Array.isArray(p)){if(3===(U=F?n0?1-M[0][0]:W<0?1+M[1][0]:1,Y*=Y>0?1-M[0][1]:Y<0?1+M[1][1]:1],Z=k.cells||[],K=k.positions||[];for(T=0;T0){var y=r*c;o.drawBox(f-y,h-y,p+y,h+y,a),o.drawBox(f-y,d-y,p+y,d+y,a),o.drawBox(f-y,h-y,f+y,d+y,a),o.drawBox(p-y,h-y,p+y,d+y,a)}}}},s.update=function(t){t=t||{},this.innerFill=!!t.innerFill,this.outerFill=!!t.outerFill,this.innerColor=(t.innerColor||[0,0,0,.5]).slice(),this.outerColor=(t.outerColor||[0,0,0,.5]).slice(),this.borderColor=(t.borderColor||[0,0,0,1]).slice(),this.borderWidth=t.borderWidth||0,this.selectBox=(t.selectBox||this.selectBox).slice()},s.dispose=function(){this.boxBuffer.dispose(),this.boxShader.dispose(),this.plot.removeOverlay(this)}},2611:function(t,e,r){"use strict";t.exports=function(t,e){var r=e[0],a=e[1];return new l(t,n(t,r,a,{}),i.mallocUint8(r*a*4))};var n=r(4234),i=r(5306),a=r(5050),o=r(2288).nextPow2;function s(t,e,r,n,i){this.coord=[t,e],this.id=r,this.value=n,this.distance=i}function l(t,e,r){this.gl=t,this.fbo=e,this.buffer=r,this._readTimeout=null;var n=this;this._readCallback=function(){n.gl&&(e.bind(),t.readPixels(0,0,e.shape[0],e.shape[1],t.RGBA,t.UNSIGNED_BYTE,n.buffer),n._readTimeout=null)}}var u=l.prototype;Object.defineProperty(u,"shape",{get:function(){return this.gl?this.fbo.shape.slice():[0,0]},set:function(t){if(this.gl){this.fbo.shape=t;var e=this.fbo.shape[0],r=this.fbo.shape[1];if(r*e*4>this.buffer.length){i.free(this.buffer);for(var n=this.buffer=i.mallocUint8(o(r*e*4)),a=0;ar)for(t=r;te)for(t=e;t=0){for(var T=0|w.type.charAt(w.type.length-1),k=new Array(T),A=0;A=0;)M+=1;_[m]=M}var S=new Array(r.length);function E(){h.program=o.program(p,h._vref,h._fref,b,_);for(var t=0;t=0){if((d=h.charCodeAt(h.length-1)-48)<2||d>4)throw new n("","Invalid data type for attribute "+f+": "+h);s(t,e,p[0],i,d,a,f)}else{if(!(h.indexOf("mat")>=0))throw new n("","Unknown data type for attribute "+f+": "+h);var d;if((d=h.charCodeAt(h.length-1)-48)<2||d>4)throw new n("","Invalid data type for attribute "+f+": "+h);l(t,e,p,i,d,a,f)}}}return a};var n=r(9068);function i(t,e,r,n,i,a){this._gl=t,this._wrapper=e,this._index=r,this._locations=n,this._dimension=i,this._constFunc=a}var a=i.prototype;a.pointer=function(t,e,r,n){var i=this,a=i._gl,o=i._locations[i._index];a.vertexAttribPointer(o,i._dimension,t||a.FLOAT,!!e,r||0,n||0),a.enableVertexAttribArray(o)},a.set=function(t,e,r,n){return this._constFunc(this._locations[this._index],t,e,r,n)},Object.defineProperty(a,"location",{get:function(){return this._locations[this._index]},set:function(t){return t!==this._locations[this._index]&&(this._locations[this._index]=0|t,this._wrapper.program=null),0|t}});var o=[function(t,e,r){return void 0===r.length?t.vertexAttrib1f(e,r):t.vertexAttrib1fv(e,r)},function(t,e,r,n){return void 0===r.length?t.vertexAttrib2f(e,r,n):t.vertexAttrib2fv(e,r)},function(t,e,r,n,i){return void 0===r.length?t.vertexAttrib3f(e,r,n,i):t.vertexAttrib3fv(e,r)},function(t,e,r,n,i,a){return void 0===r.length?t.vertexAttrib4f(e,r,n,i,a):t.vertexAttrib4fv(e,r)}];function s(t,e,r,n,a,s,l){var u=o[a],c=new i(t,e,r,n,a,u);Object.defineProperty(s,l,{set:function(e){return t.disableVertexAttribArray(n[r]),u(t,n[r],e),e},get:function(){return c},enumerable:!0})}function l(t,e,r,n,i,a,o){for(var l=new Array(i),u=new Array(i),c=0;c4)throw new i("","Invalid uniform dimension type for matrix "+name+": "+m);t["uniformMatrix"+y+"fv"](s[f],!1,h);break}throw new i("","Unknown uniform data type for "+name+": "+m)}if((y=m.charCodeAt(m.length-1)-48)<2||y>4)throw new i("","Invalid data type");switch(m.charAt(0)){case"b":case"i":t["uniform"+y+"iv"](s[f],h);break;case"v":t["uniform"+y+"fv"](s[f],h);break;default:throw new i("","Unrecognized data type for vector "+name+": "+m)}}}}}}function u(t,e){if("object"!=typeof e)return[[t,e]];var r=[];for(var n in e){var i=e[n],a=t;parseInt(n)+""===n?a+="["+n+"]":a+="."+n,"object"==typeof i?r.push.apply(r,u(a,i)):r.push([a,i])}return r}function c(t,e,n){if("object"==typeof n){var u=f(n);Object.defineProperty(t,e,{get:a(u),set:l(n),enumerable:!0,configurable:!1})}else s[n]?Object.defineProperty(t,e,{get:(c=n,function(t,e,r){return t.getUniform(e.program,r[c])}),set:l(n),enumerable:!0,configurable:!1}):t[e]=function(t){switch(t){case"bool":return!1;case"int":case"sampler2D":case"samplerCube":case"float":return 0;default:var e=t.indexOf("vec");if(0<=e&&e<=1&&t.length===4+e){if((r=t.charCodeAt(t.length-1)-48)<2||r>4)throw new i("","Invalid data type");return"b"===t.charAt(0)?o(r,!1):o(r,0)}if(0===t.indexOf("mat")&&4===t.length){var r;if((r=t.charCodeAt(t.length-1)-48)<2||r>4)throw new i("","Invalid uniform dimension type for matrix "+name+": "+t);return o(r*r,0)}throw new i("","Unknown uniform data type for "+name+": "+t)}}(r[n].type);var c}function f(t){var e;if(Array.isArray(t)){e=new Array(t.length);for(var r=0;r1){s[0]in a||(a[s[0]]=[]),a=a[s[0]];for(var l=1;l1)for(var l=0;l 0 U ||b|| > 0.\n // Assign z = 0, x = -b, y = a:\n // a*-b + b*a + c*0 = -ba + ba + 0 = 0\n if (v.x*v.x > v.z*v.z || v.y*v.y > v.z*v.z) {\n return normalize(vec3(-v.y, v.x, 0.0));\n } else {\n return normalize(vec3(0.0, v.z, -v.y));\n }\n}\n\n// Calculate the tube vertex and normal at the given index.\n//\n// The returned vertex is for a tube ring with its center at origin, radius of length(d), pointing in the direction of d.\n//\n// Each tube segment is made up of a ring of vertices.\n// These vertices are used to make up the triangles of the tube by connecting them together in the vertex array.\n// The indexes of tube segments run from 0 to 8.\n//\nvec3 getTubePosition(vec3 d, float index, out vec3 normal) {\n float segmentCount = 8.0;\n\n float angle = 2.0 * 3.14159 * (index / segmentCount);\n\n vec3 u = getOrthogonalVector(d);\n vec3 v = normalize(cross(u, d));\n\n vec3 x = u * cos(angle) * length(d);\n vec3 y = v * sin(angle) * length(d);\n vec3 v3 = x + y;\n\n normal = normalize(v3);\n\n return v3;\n}\n\nattribute vec4 vector;\nattribute vec4 color, position;\nattribute vec2 uv;\n\nuniform float vectorScale, tubeScale;\nuniform mat4 model, view, projection, inverseModel;\nuniform vec3 eyePosition, lightPosition;\n\nvarying vec3 f_normal, f_lightDirection, f_eyeDirection, f_data, f_position;\nvarying vec4 f_color;\nvarying vec2 f_uv;\n\nvoid main() {\n // Scale the vector magnitude to stay constant with\n // model & view changes.\n vec3 normal;\n vec3 XYZ = getTubePosition(mat3(model) * (tubeScale * vector.w * normalize(vector.xyz)), position.w, normal);\n vec4 tubePosition = model * vec4(position.xyz, 1.0) + vec4(XYZ, 0.0);\n\n //Lighting geometry parameters\n vec4 cameraCoordinate = view * tubePosition;\n cameraCoordinate.xyz /= cameraCoordinate.w;\n f_lightDirection = lightPosition - cameraCoordinate.xyz;\n f_eyeDirection = eyePosition - cameraCoordinate.xyz;\n f_normal = normalize((vec4(normal, 0.0) * inverseModel).xyz);\n\n // vec4 m_position = model * vec4(tubePosition, 1.0);\n vec4 t_position = view * tubePosition;\n gl_Position = projection * t_position;\n\n f_color = color;\n f_data = tubePosition.xyz;\n f_position = position.xyz;\n f_uv = uv;\n}\n"]),a=n(["#extension GL_OES_standard_derivatives : enable\n\nprecision highp float;\n#define GLSLIFY 1\n\nfloat beckmannDistribution(float x, float roughness) {\n float NdotH = max(x, 0.0001);\n float cos2Alpha = NdotH * NdotH;\n float tan2Alpha = (cos2Alpha - 1.0) / cos2Alpha;\n float roughness2 = roughness * roughness;\n float denom = 3.141592653589793 * roughness2 * cos2Alpha * cos2Alpha;\n return exp(tan2Alpha / roughness2) / denom;\n}\n\nfloat cookTorranceSpecular(\n vec3 lightDirection,\n vec3 viewDirection,\n vec3 surfaceNormal,\n float roughness,\n float fresnel) {\n\n float VdotN = max(dot(viewDirection, surfaceNormal), 0.0);\n float LdotN = max(dot(lightDirection, surfaceNormal), 0.0);\n\n //Half angle vector\n vec3 H = normalize(lightDirection + viewDirection);\n\n //Geometric term\n float NdotH = max(dot(surfaceNormal, H), 0.0);\n float VdotH = max(dot(viewDirection, H), 0.000001);\n float LdotH = max(dot(lightDirection, H), 0.000001);\n float G1 = (2.0 * NdotH * VdotN) / VdotH;\n float G2 = (2.0 * NdotH * LdotN) / LdotH;\n float G = min(1.0, min(G1, G2));\n \n //Distribution term\n float D = beckmannDistribution(NdotH, roughness);\n\n //Fresnel term\n float F = pow(1.0 - VdotN, fresnel);\n\n //Multiply terms and done\n return G * F * D / max(3.14159265 * VdotN, 0.000001);\n}\n\nbool outOfRange(float a, float b, float p) {\n return ((p > max(a, b)) || \n (p < min(a, b)));\n}\n\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\n return (outOfRange(a.x, b.x, p.x) ||\n outOfRange(a.y, b.y, p.y));\n}\n\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\n return (outOfRange(a.x, b.x, p.x) ||\n outOfRange(a.y, b.y, p.y) ||\n outOfRange(a.z, b.z, p.z));\n}\n\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\n return outOfRange(a.xyz, b.xyz, p.xyz);\n}\n\nuniform vec3 clipBounds[2];\nuniform float roughness, fresnel, kambient, kdiffuse, kspecular, opacity;\nuniform sampler2D texture;\n\nvarying vec3 f_normal, f_lightDirection, f_eyeDirection, f_data, f_position;\nvarying vec4 f_color;\nvarying vec2 f_uv;\n\nvoid main() {\n if (outOfRange(clipBounds[0], clipBounds[1], f_position)) discard;\n vec3 N = normalize(f_normal);\n vec3 L = normalize(f_lightDirection);\n vec3 V = normalize(f_eyeDirection);\n\n if(gl_FrontFacing) {\n N = -N;\n }\n\n float specular = min(1.0, max(0.0, cookTorranceSpecular(L, V, N, roughness, fresnel)));\n float diffuse = min(kambient + kdiffuse * max(dot(N, L), 0.0), 1.0);\n\n vec4 surfaceColor = f_color * texture2D(texture, f_uv);\n vec4 litColor = surfaceColor.a * vec4(diffuse * surfaceColor.rgb + kspecular * vec3(1,1,1) * specular, 1.0);\n\n gl_FragColor = litColor * opacity;\n}\n"]),o=n(["precision highp float;\n\nprecision highp float;\n#define GLSLIFY 1\n\nvec3 getOrthogonalVector(vec3 v) {\n // Return up-vector for only-z vector.\n // Return ax + by + cz = 0, a point that lies on the plane that has v as a normal and that isn't (0,0,0).\n // From the above if-statement we have ||a|| > 0 U ||b|| > 0.\n // Assign z = 0, x = -b, y = a:\n // a*-b + b*a + c*0 = -ba + ba + 0 = 0\n if (v.x*v.x > v.z*v.z || v.y*v.y > v.z*v.z) {\n return normalize(vec3(-v.y, v.x, 0.0));\n } else {\n return normalize(vec3(0.0, v.z, -v.y));\n }\n}\n\n// Calculate the tube vertex and normal at the given index.\n//\n// The returned vertex is for a tube ring with its center at origin, radius of length(d), pointing in the direction of d.\n//\n// Each tube segment is made up of a ring of vertices.\n// These vertices are used to make up the triangles of the tube by connecting them together in the vertex array.\n// The indexes of tube segments run from 0 to 8.\n//\nvec3 getTubePosition(vec3 d, float index, out vec3 normal) {\n float segmentCount = 8.0;\n\n float angle = 2.0 * 3.14159 * (index / segmentCount);\n\n vec3 u = getOrthogonalVector(d);\n vec3 v = normalize(cross(u, d));\n\n vec3 x = u * cos(angle) * length(d);\n vec3 y = v * sin(angle) * length(d);\n vec3 v3 = x + y;\n\n normal = normalize(v3);\n\n return v3;\n}\n\nattribute vec4 vector;\nattribute vec4 position;\nattribute vec4 id;\n\nuniform mat4 model, view, projection;\nuniform float tubeScale;\n\nvarying vec3 f_position;\nvarying vec4 f_id;\n\nvoid main() {\n vec3 normal;\n vec3 XYZ = getTubePosition(mat3(model) * (tubeScale * vector.w * normalize(vector.xyz)), position.w, normal);\n vec4 tubePosition = model * vec4(position.xyz, 1.0) + vec4(XYZ, 0.0);\n\n gl_Position = projection * view * tubePosition;\n f_id = id;\n f_position = position.xyz;\n}\n"]),s=n(["precision highp float;\n#define GLSLIFY 1\n\nbool outOfRange(float a, float b, float p) {\n return ((p > max(a, b)) || \n (p < min(a, b)));\n}\n\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\n return (outOfRange(a.x, b.x, p.x) ||\n outOfRange(a.y, b.y, p.y));\n}\n\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\n return (outOfRange(a.x, b.x, p.x) ||\n outOfRange(a.y, b.y, p.y) ||\n outOfRange(a.z, b.z, p.z));\n}\n\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\n return outOfRange(a.xyz, b.xyz, p.xyz);\n}\n\nuniform vec3 clipBounds[2];\nuniform float pickId;\n\nvarying vec3 f_position;\nvarying vec4 f_id;\n\nvoid main() {\n if (outOfRange(clipBounds[0], clipBounds[1], f_position)) discard;\n\n gl_FragColor = vec4(pickId, f_id.xyz);\n}"]);e.meshShader={vertex:i,fragment:a,attributes:[{name:"position",type:"vec4"},{name:"color",type:"vec4"},{name:"uv",type:"vec2"},{name:"vector",type:"vec4"}]},e.pickShader={vertex:o,fragment:s,attributes:[{name:"position",type:"vec4"},{name:"id",type:"vec4"},{name:"vector",type:"vec4"}]}},7307:function(t,e,r){"use strict";var n=r(2858),i=r(4020),a=["xyz","xzy","yxz","yzx","zxy","zyx"],o=function(t,e){var r,n=t.length;for(r=0;re)return r-1}return r},s=function(t,e,r){return tr?r:t},l=function(t){var e=1/0;t.sort((function(t,e){return t-e}));for(var r=t.length,n=1;nf-1||m>h-1||x>p-1)return n.create();var b,_,w,T,k,A,M=a[0][d],S=a[0][y],E=a[1][v],L=a[1][m],C=a[2][g],P=(l-M)/(S-M),O=(u-E)/(L-E),I=(c-C)/(a[2][x]-C);switch(isFinite(P)||(P=.5),isFinite(O)||(O=.5),isFinite(I)||(I=.5),r.reversedX&&(d=f-1-d,y=f-1-y),r.reversedY&&(v=h-1-v,m=h-1-m),r.reversedZ&&(g=p-1-g,x=p-1-x),r.filled){case 5:k=g,A=x,w=v*p,T=m*p,b=d*p*h,_=y*p*h;break;case 4:k=g,A=x,b=d*p,_=y*p,w=v*p*f,T=m*p*f;break;case 3:w=v,T=m,k=g*h,A=x*h,b=d*h*p,_=y*h*p;break;case 2:w=v,T=m,b=d*h,_=y*h,k=g*h*f,A=x*h*f;break;case 1:b=d,_=y,k=g*f,A=x*f,w=v*f*p,T=m*f*p;break;default:b=d,_=y,w=v*f,T=m*f,k=g*f*h,A=x*f*h}var D=i[b+w+k],z=i[b+w+A],R=i[b+T+k],F=i[b+T+A],B=i[_+w+k],N=i[_+w+A],j=i[_+T+k],U=i[_+T+A],V=n.create(),q=n.create(),H=n.create(),G=n.create();n.lerp(V,D,B,P),n.lerp(q,z,N,P),n.lerp(H,R,j,P),n.lerp(G,F,U,P);var W=n.create(),Y=n.create();n.lerp(W,V,H,O),n.lerp(Y,q,G,O);var X=n.create();return n.lerp(X,W,Y,I),X}(e,t,p)},v=t.getDivergence||function(t,e){var r=n.create(),i=1e-4;n.add(r,t,[i,0,0]);var a=d(r);n.subtract(a,a,e),n.scale(a,a,1/i),n.add(r,t,[0,i,0]);var o=d(r);n.subtract(o,o,e),n.scale(o,o,1/i),n.add(r,t,[0,0,i]);var s=d(r);return n.subtract(s,s,e),n.scale(s,s,1/i),n.add(r,a,o),n.add(r,r,s),r},g=[],y=e[0][0],m=e[0][1],x=e[0][2],b=e[1][0],_=e[1][1],w=e[1][2],T=function(t){var e=t[0],r=t[1],n=t[2];return!(eb||r_||nw)},k=10*n.distance(e[0],e[1])/u,A=k*k,M=1,S=0,E=r.length;E>1&&(M=function(t){for(var e=[],r=[],n=[],i={},a={},o={},s=t.length,u=0;uS&&(S=F),z.push(F),g.push({points:P,velocities:O,divergences:z});for(var B=0;B<100*u&&P.lengthA&&n.scale(N,N,k/Math.sqrt(j)),n.add(N,N,C),I=d(N),n.squaredDistance(D,N)-A>-1e-4*A&&(P.push(N),D=N,O.push(I),R=v(N,I),F=n.length(R),isFinite(F)&&F>S&&(S=F),z.push(F)),C=N}}var U=function(t,e,r,a){for(var o=0,s=0;s0)for(T=0;T<8;T++){var k=(T+1)%8;u.push(h[T],p[T],p[k],p[k],h[k],h[T]),f.push(m,y,y,y,m,m),d.push(v,g,g,g,v,v);var A=u.length;c.push([A-6,A-5,A-4],[A-3,A-2,A-1])}var M=h;h=p,p=M;var S=m;m=y,y=S;var E=v;v=g,g=E}return{positions:u,cells:c,vectors:f,vertexIntensity:d}}(t,r,a,o)})),f=[],h=[],p=[],d=[];for(s=0;s max(a, b)) || \n (p < min(a, b)));\n}\n\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\n return (outOfRange(a.x, b.x, p.x) ||\n outOfRange(a.y, b.y, p.y));\n}\n\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\n return (outOfRange(a.x, b.x, p.x) ||\n outOfRange(a.y, b.y, p.y) ||\n outOfRange(a.z, b.z, p.z));\n}\n\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\n return outOfRange(a.xyz, b.xyz, p.xyz);\n}\n\nuniform vec3 lowerBound, upperBound;\nuniform float contourTint;\nuniform vec4 contourColor;\nuniform sampler2D colormap;\nuniform vec3 clipBounds[2];\nuniform float roughness, fresnel, kambient, kdiffuse, kspecular, opacity;\nuniform float vertexColor;\n\nvarying float value, kill;\nvarying vec3 worldCoordinate;\nvarying vec3 lightDirection, eyeDirection, surfaceNormal;\nvarying vec4 vColor;\n\nvoid main() {\n if (\n kill > 0.0 ||\n vColor.a == 0.0 ||\n outOfRange(clipBounds[0], clipBounds[1], worldCoordinate)\n ) discard;\n\n vec3 N = normalize(surfaceNormal);\n vec3 V = normalize(eyeDirection);\n vec3 L = normalize(lightDirection);\n\n if(gl_FrontFacing) {\n N = -N;\n }\n\n float specular = max(beckmannSpecular(L, V, N, roughness), 0.);\n float diffuse = min(kambient + kdiffuse * max(dot(N, L), 0.0), 1.0);\n\n //decide how to interpolate color — in vertex or in fragment\n vec4 surfaceColor =\n step(vertexColor, .5) * texture2D(colormap, vec2(value, value)) +\n step(.5, vertexColor) * vColor;\n\n vec4 litColor = surfaceColor.a * vec4(diffuse * surfaceColor.rgb + kspecular * vec3(1,1,1) * specular, 1.0);\n\n gl_FragColor = mix(litColor, contourColor, contourTint) * opacity;\n}\n"]),s=i(["precision highp float;\n#define GLSLIFY 1\n\nattribute vec4 uv;\nattribute float f;\n\nuniform vec3 objectOffset;\nuniform mat3 permutation;\nuniform mat4 model, view, projection;\nuniform float height, zOffset;\nuniform sampler2D colormap;\n\nvarying float value, kill;\nvarying vec3 worldCoordinate;\nvarying vec2 planeCoordinate;\nvarying vec3 lightDirection, eyeDirection, surfaceNormal;\nvarying vec4 vColor;\n\nvoid main() {\n vec3 dataCoordinate = permutation * vec3(uv.xy, height);\n worldCoordinate = objectOffset + dataCoordinate;\n vec4 worldPosition = model * vec4(worldCoordinate, 1.0);\n\n vec4 clipPosition = projection * view * worldPosition;\n clipPosition.z += zOffset;\n\n gl_Position = clipPosition;\n value = f + objectOffset.z;\n kill = -1.0;\n planeCoordinate = uv.zw;\n\n vColor = texture2D(colormap, vec2(value, value));\n\n //Don't do lighting for contours\n surfaceNormal = vec3(1,0,0);\n eyeDirection = vec3(0,1,0);\n lightDirection = vec3(0,0,1);\n}\n"]),l=i(["precision highp float;\n#define GLSLIFY 1\n\nbool outOfRange(float a, float b, float p) {\n return ((p > max(a, b)) || \n (p < min(a, b)));\n}\n\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\n return (outOfRange(a.x, b.x, p.x) ||\n outOfRange(a.y, b.y, p.y));\n}\n\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\n return (outOfRange(a.x, b.x, p.x) ||\n outOfRange(a.y, b.y, p.y) ||\n outOfRange(a.z, b.z, p.z));\n}\n\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\n return outOfRange(a.xyz, b.xyz, p.xyz);\n}\n\nuniform vec2 shape;\nuniform vec3 clipBounds[2];\nuniform float pickId;\n\nvarying float value, kill;\nvarying vec3 worldCoordinate;\nvarying vec2 planeCoordinate;\nvarying vec3 surfaceNormal;\n\nvec2 splitFloat(float v) {\n float vh = 255.0 * v;\n float upper = floor(vh);\n float lower = fract(vh);\n return vec2(upper / 255.0, floor(lower * 16.0) / 16.0);\n}\n\nvoid main() {\n if ((kill > 0.0) ||\n (outOfRange(clipBounds[0], clipBounds[1], worldCoordinate))) discard;\n\n vec2 ux = splitFloat(planeCoordinate.x / shape.x);\n vec2 uy = splitFloat(planeCoordinate.y / shape.y);\n gl_FragColor = vec4(pickId, ux.x, uy.x, ux.y + (uy.y/16.0));\n}\n"]);e.createShader=function(t){var e=n(t,a,o,null,[{name:"uv",type:"vec4"},{name:"f",type:"vec3"},{name:"normal",type:"vec3"}]);return e.attributes.uv.location=0,e.attributes.f.location=1,e.attributes.normal.location=2,e},e.createPickShader=function(t){var e=n(t,a,l,null,[{name:"uv",type:"vec4"},{name:"f",type:"vec3"},{name:"normal",type:"vec3"}]);return e.attributes.uv.location=0,e.attributes.f.location=1,e.attributes.normal.location=2,e},e.createContourShader=function(t){var e=n(t,s,o,null,[{name:"uv",type:"vec4"},{name:"f",type:"float"}]);return e.attributes.uv.location=0,e.attributes.f.location=1,e},e.createPickContourShader=function(t){var e=n(t,s,l,null,[{name:"uv",type:"vec4"},{name:"f",type:"float"}]);return e.attributes.uv.location=0,e.attributes.f.location=1,e}},3754:function(t,e,r){"use strict";t.exports=function(t){var e=t.gl,r=m(e),n=b(e),s=x(e),l=_(e),u=i(e),c=a(e,[{buffer:u,size:4,stride:w,offset:0},{buffer:u,size:3,stride:w,offset:16},{buffer:u,size:3,stride:w,offset:28}]),f=i(e),h=a(e,[{buffer:f,size:4,stride:20,offset:0},{buffer:f,size:1,stride:20,offset:16}]),p=i(e),d=a(e,[{buffer:p,size:2,type:e.FLOAT}]),v=o(e,1,S,e.RGBA,e.UNSIGNED_BYTE);v.minFilter=e.LINEAR,v.magFilter=e.LINEAR;var g=new E(e,[0,0],[[0,0,0],[0,0,0]],r,n,u,c,v,s,l,f,h,p,d,[0,0,0]),y={levels:[[],[],[]]};for(var T in t)y[T]=t[T];return y.colormap=y.colormap||"jet",g.update(y),g};var n=r(2288),i=r(5827),a=r(2944),o=r(8931),s=r(5306),l=r(9156),u=r(7498),c=r(7382),f=r(5050),h=r(4162),p=r(104),d=r(7437),v=r(5070),g=r(9144),y=r(9054),m=y.createShader,x=y.createContourShader,b=y.createPickShader,_=y.createPickContourShader,w=40,T=[1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1],k=[[0,0],[0,1],[1,0],[1,1],[1,0],[0,1]],A=[[0,0,0,0,0,0,0,0,0],[0,0,0,0,0,0,0,0,0],[0,0,0,0,0,0,0,0,0]];function M(t,e,r,n,i){this.position=t,this.index=e,this.uv=r,this.level=n,this.dataCoordinate=i}!function(){for(var t=0;t<3;++t){var e=A[t],r=(t+2)%3;e[(t+1)%3+0]=1,e[r+3]=1,e[t+6]=1}}();var S=256;function E(t,e,r,n,i,a,o,l,u,c,h,p,d,v,g){this.gl=t,this.shape=e,this.bounds=r,this.objectOffset=g,this.intensityBounds=[],this._shader=n,this._pickShader=i,this._coordinateBuffer=a,this._vao=o,this._colorMap=l,this._contourShader=u,this._contourPickShader=c,this._contourBuffer=h,this._contourVAO=p,this._contourOffsets=[[],[],[]],this._contourCounts=[[],[],[]],this._vertexCount=0,this._pickResult=new M([0,0,0],[0,0],[0,0],[0,0,0],[0,0,0]),this._dynamicBuffer=d,this._dynamicVAO=v,this._dynamicOffsets=[0,0,0],this._dynamicCounts=[0,0,0],this.contourWidth=[1,1,1],this.contourLevels=[[1],[1],[1]],this.contourTint=[0,0,0],this.contourColor=[[.5,.5,.5,1],[.5,.5,.5,1],[.5,.5,.5,1]],this.showContour=!0,this.showSurface=!0,this.enableHighlight=[!0,!0,!0],this.highlightColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.highlightTint=[1,1,1],this.highlightLevel=[-1,-1,-1],this.enableDynamic=[!0,!0,!0],this.dynamicLevel=[NaN,NaN,NaN],this.dynamicColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.dynamicTint=[1,1,1],this.dynamicWidth=[1,1,1],this.axesBounds=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]],this.surfaceProject=[!1,!1,!1],this.contourProject=[[!1,!1,!1],[!1,!1,!1],[!1,!1,!1]],this.colorBounds=[!1,!1],this._field=[f(s.mallocFloat(1024),[0,0]),f(s.mallocFloat(1024),[0,0]),f(s.mallocFloat(1024),[0,0])],this.pickId=1,this.clipBounds=[[-1/0,-1/0,-1/0],[1/0,1/0,1/0]],this.snapToData=!1,this.pixelRatio=1,this.opacity=1,this.lightPosition=[10,1e4,0],this.ambientLight=.8,this.diffuseLight=.8,this.specularLight=2,this.roughness=.5,this.fresnel=1.5,this.vertexColor=0,this.dirty=!0}var L=E.prototype;L.genColormap=function(t,e){var r=!1,n=c([l({colormap:t,nshades:S,format:"rgba"}).map((function(t,n){var i=e?function(t,e){if(!e)return 1;if(!e.length)return 1;for(var r=0;rt&&r>0){var n=(e[r][0]-t)/(e[r][0]-e[r-1][0]);return e[r][1]*(1-n)+n*e[r-1][1]}}return 1}(n/255,e):t[3];return i<1&&(r=!0),[t[0],t[1],t[2],255*i]}))]);return u.divseq(n,255),this.hasAlphaScale=r,n},L.isTransparent=function(){return this.opacity<1||this.hasAlphaScale},L.isOpaque=function(){return!this.isTransparent()},L.pickSlots=1,L.setPickBase=function(t){this.pickId=t};var C=[0,0,0],P={showSurface:!1,showContour:!1,projections:[T.slice(),T.slice(),T.slice()],clipBounds:[[[0,0,0],[0,0,0]],[[0,0,0],[0,0,0]],[[0,0,0],[0,0,0]]]};function O(t,e){var r,n,i,a=e.axes&&e.axes.lastCubeProps.axis||C,o=e.showSurface,s=e.showContour;for(r=0;r<3;++r)for(o=o||e.surfaceProject[r],n=0;n<3;++n)s=s||e.contourProject[r][n];for(r=0;r<3;++r){var l=P.projections[r];for(n=0;n<16;++n)l[n]=0;for(n=0;n<4;++n)l[5*n]=1;l[5*r]=0,l[12+r]=e.axesBounds[+(a[r]>0)][r],p(l,t.model,l);var u=P.clipBounds[r];for(i=0;i<2;++i)for(n=0;n<3;++n)u[i][n]=t.clipBounds[i][n];u[0][r]=-1e8,u[1][r]=1e8}return P.showSurface=o,P.showContour=s,P}var I={model:T,view:T,projection:T,inverseModel:T.slice(),lowerBound:[0,0,0],upperBound:[0,0,0],colorMap:0,clipBounds:[[0,0,0],[0,0,0]],height:0,contourTint:0,contourColor:[0,0,0,1],permutation:[1,0,0,0,1,0,0,0,1],zOffset:-1e-4,objectOffset:[0,0,0],kambient:1,kdiffuse:1,kspecular:1,lightPosition:[1e3,1e3,1e3],eyePosition:[0,0,0],roughness:1,fresnel:1,opacity:1,vertexColor:0},D=T.slice(),z=[1,0,0,0,1,0,0,0,1];function R(t,e){t=t||{};var r=this.gl;r.disable(r.CULL_FACE),this._colorMap.bind(0);var n=I;n.model=t.model||T,n.view=t.view||T,n.projection=t.projection||T,n.lowerBound=[this.bounds[0][0],this.bounds[0][1],this.colorBounds[0]||this.bounds[0][2]],n.upperBound=[this.bounds[1][0],this.bounds[1][1],this.colorBounds[1]||this.bounds[1][2]],n.objectOffset=this.objectOffset,n.contourColor=this.contourColor[0],n.inverseModel=d(n.inverseModel,n.model);for(var i=0;i<2;++i)for(var a=n.clipBounds[i],o=0;o<3;++o)a[o]=Math.min(Math.max(this.clipBounds[i][o],-1e8),1e8);n.kambient=this.ambientLight,n.kdiffuse=this.diffuseLight,n.kspecular=this.specularLight,n.roughness=this.roughness,n.fresnel=this.fresnel,n.opacity=this.opacity,n.height=0,n.permutation=z,n.vertexColor=this.vertexColor;var s=D;for(p(s,n.view,n.model),p(s,n.projection,s),d(s,s),i=0;i<3;++i)n.eyePosition[i]=s[12+i]/s[15];var l=s[15];for(i=0;i<3;++i)l+=this.lightPosition[i]*s[4*i+3];for(i=0;i<3;++i){var u=s[12+i];for(o=0;o<3;++o)u+=s[4*o+i]*this.lightPosition[o];n.lightPosition[i]=u/l}var c=O(n,this);if(c.showSurface){for(this._shader.bind(),this._shader.uniforms=n,this._vao.bind(),this.showSurface&&this._vertexCount&&this._vao.draw(r.TRIANGLES,this._vertexCount),i=0;i<3;++i)this.surfaceProject[i]&&this.vertexCount&&(this._shader.uniforms.model=c.projections[i],this._shader.uniforms.clipBounds=c.clipBounds[i],this._vao.draw(r.TRIANGLES,this._vertexCount));this._vao.unbind()}if(c.showContour){var f=this._contourShader;n.kambient=1,n.kdiffuse=0,n.kspecular=0,n.opacity=1,f.bind(),f.uniforms=n;var h=this._contourVAO;for(h.bind(),i=0;i<3;++i)for(f.uniforms.permutation=A[i],r.lineWidth(this.contourWidth[i]*this.pixelRatio),o=0;o>4)/16)/255,i=Math.floor(n),a=n-i,o=e[1]*(t.value[1]+(15&t.value[2])/16)/255,s=Math.floor(o),l=o-s;i+=1,s+=1;var u=r.position;u[0]=u[1]=u[2]=0;for(var c=0;c<2;++c)for(var f=c?a:1-a,h=0;h<2;++h)for(var p=i+c,d=s+h,g=f*(h?l:1-l),y=0;y<3;++y)u[y]+=this._field[y].get(p,d)*g;for(var m=this._pickResult.level,x=0;x<3;++x)if(m[x]=v.le(this.contourLevels[x],u[x]),m[x]<0)this.contourLevels[x].length>0&&(m[x]=0);else if(m[x]Math.abs(_-u[x])&&(m[x]+=1)}for(r.index[0]=a<.5?i:i+1,r.index[1]=l<.5?s:s+1,r.uv[0]=n/e[0],r.uv[1]=o/e[1],y=0;y<3;++y)r.dataCoordinate[y]=this._field[y].get(r.index[0],r.index[1]);return r},L.padField=function(t,e){var r=e.shape.slice(),n=t.shape.slice();u.assign(t.lo(1,1).hi(r[0],r[1]),e),u.assign(t.lo(1).hi(r[0],1),e.hi(r[0],1)),u.assign(t.lo(1,n[1]-1).hi(r[0],1),e.lo(0,r[1]-1).hi(r[0],1)),u.assign(t.lo(0,1).hi(1,r[1]),e.hi(1)),u.assign(t.lo(n[0]-1,1).hi(1,r[1]),e.lo(r[0]-1)),t.set(0,0,e.get(0,0)),t.set(0,n[1]-1,e.get(0,r[1]-1)),t.set(n[0]-1,0,e.get(r[0]-1,0)),t.set(n[0]-1,n[1]-1,e.get(r[0]-1,r[1]-1))},L.update=function(t){t=t||{},this.objectOffset=t.objectOffset||this.objectOffset,this.dirty=!0,"contourWidth"in t&&(this.contourWidth=B(t.contourWidth,Number)),"showContour"in t&&(this.showContour=B(t.showContour,Boolean)),"showSurface"in t&&(this.showSurface=!!t.showSurface),"contourTint"in t&&(this.contourTint=B(t.contourTint,Boolean)),"contourColor"in t&&(this.contourColor=j(t.contourColor)),"contourProject"in t&&(this.contourProject=B(t.contourProject,(function(t){return B(t,Boolean)}))),"surfaceProject"in t&&(this.surfaceProject=t.surfaceProject),"dynamicColor"in t&&(this.dynamicColor=j(t.dynamicColor)),"dynamicTint"in t&&(this.dynamicTint=B(t.dynamicTint,Number)),"dynamicWidth"in t&&(this.dynamicWidth=B(t.dynamicWidth,Number)),"opacity"in t&&(this.opacity=t.opacity),"opacityscale"in t&&(this.opacityscale=t.opacityscale),"colorBounds"in t&&(this.colorBounds=t.colorBounds),"vertexColor"in t&&(this.vertexColor=t.vertexColor?1:0),"colormap"in t&&this._colorMap.setPixels(this.genColormap(t.colormap,this.opacityscale));var e=t.field||t.coords&&t.coords[2]||null,r=!1;if(e||(e=this._field[2].shape[0]||this._field[2].shape[2]?this._field[2].lo(1,1).hi(this._field[2].shape[0]-2,this._field[2].shape[1]-2):this._field[2].hi(0,0)),"field"in t||"coords"in t){var i=(e.shape[0]+2)*(e.shape[1]+2);i>this._field[2].data.length&&(s.freeFloat(this._field[2].data),this._field[2].data=s.mallocFloat(n.nextPow2(i))),this._field[2]=f(this._field[2].data,[e.shape[0]+2,e.shape[1]+2]),this.padField(this._field[2],e),this.shape=e.shape.slice();for(var a=this.shape,o=0;o<2;++o)this._field[2].size>this._field[o].data.length&&(s.freeFloat(this._field[o].data),this._field[o].data=s.mallocFloat(this._field[2].size)),this._field[o]=f(this._field[o].data,[a[0]+2,a[1]+2]);if(t.coords){var l=t.coords;if(!Array.isArray(l)||3!==l.length)throw new Error("gl-surface: invalid coordinates for x/y");for(o=0;o<2;++o){var u=l[o];for(y=0;y<2;++y)if(u.shape[y]!==a[y])throw new Error("gl-surface: coords have incorrect shape");this.padField(this._field[o],u)}}else if(t.ticks){var c=t.ticks;if(!Array.isArray(c)||2!==c.length)throw new Error("gl-surface: invalid ticks");for(o=0;o<2;++o){var p=c[o];if((Array.isArray(p)||p.length)&&(p=f(p)),p.shape[0]!==a[o])throw new Error("gl-surface: invalid tick length");var d=f(p.data,a);d.stride[o]=p.stride[0],d.stride[1^o]=0,this.padField(this._field[o],d)}}else{for(o=0;o<2;++o){var v=[0,0];v[o]=1,this._field[o]=f(this._field[o].data,[a[0]+2,a[1]+2],v,0)}this._field[0].set(0,0,0);for(var y=0;y0){for(var xt=0;xt<5;++xt)$.pop();U-=1}continue t}$.push(nt[0],nt[1],ot[0],ot[1],nt[2]),U+=1}}rt.push(U)}this._contourOffsets[Q]=et,this._contourCounts[Q]=rt}var bt=s.mallocFloat($.length);for(o=0;o<$.length;++o)bt[o]=$[o];this._contourBuffer.update(bt),s.freeFloat(bt)}},L.dispose=function(){this._shader.dispose(),this._vao.dispose(),this._coordinateBuffer.dispose(),this._colorMap.dispose(),this._contourBuffer.dispose(),this._contourVAO.dispose(),this._contourShader.dispose(),this._contourPickShader.dispose(),this._dynamicBuffer.dispose(),this._dynamicVAO.dispose();for(var t=0;t<3;++t)s.freeFloat(this._field[t].data)},L.highlight=function(t){var e,r;if(!t)return this._dynamicCounts=[0,0,0],this.dyanamicLevel=[NaN,NaN,NaN],void(this.highlightLevel=[-1,-1,-1]);for(e=0;e<3;++e)this.enableHighlight[e]?this.highlightLevel[e]=t.level[e]:this.highlightLevel[e]=-1;for(r=this.snapToData?t.dataCoordinate:t.position,e=0;e<3;++e)r[e]-=this.objectOffset[e];if(this.enableDynamic[0]&&r[0]!==this.dynamicLevel[0]||this.enableDynamic[1]&&r[1]!==this.dynamicLevel[1]||this.enableDynamic[2]&&r[2]!==this.dynamicLevel[2]){for(var n=0,i=this.shape,a=s.mallocFloat(12*i[0]*i[1]),o=0;o<3;++o)if(this.enableDynamic[o]){this.dynamicLevel[o]=r[o];var l=(o+1)%3,u=(o+2)%3,c=this._field[o],f=this._field[l],p=this._field[u],d=h(c,r[o]),v=d.cells,g=d.positions;for(this._dynamicOffsets[o]=n,e=0;es||o[1]<0||o[1]>s)throw new Error("gl-texture2d: Invalid texture size");var l=d(o,e.stride.slice()),u=0;"float32"===r?u=t.FLOAT:"float64"===r?(u=t.FLOAT,l=!1,r="float32"):"uint8"===r?u=t.UNSIGNED_BYTE:(u=t.UNSIGNED_BYTE,l=!1,r="uint8");var f,p,g=0;if(2===o.length)g=t.LUMINANCE,o=[o[0],o[1],1],e=n(e.data,o,[e.stride[0],e.stride[1],1],e.offset);else{if(3!==o.length)throw new Error("gl-texture2d: Invalid shape for texture");if(1===o[2])g=t.ALPHA;else if(2===o[2])g=t.LUMINANCE_ALPHA;else if(3===o[2])g=t.RGB;else{if(4!==o[2])throw new Error("gl-texture2d: Invalid shape for pixel coords");g=t.RGBA}}u!==t.FLOAT||t.getExtension("OES_texture_float")||(u=t.UNSIGNED_BYTE,l=!1);var y=e.size;if(l)f=0===e.offset&&e.data.length===y?e.data:e.data.subarray(e.offset,e.offset+y);else{var m=[o[2],o[2]*o[0],1];p=a.malloc(y,r);var x=n(p,o,m,0);"float32"!==r&&"float64"!==r||u!==t.UNSIGNED_BYTE?i.assign(x,e):c(x,e),f=p.subarray(0,y)}var b=v(t);return t.texImage2D(t.TEXTURE_2D,0,g,o[0],o[1],0,g,u,f),l||a.free(p),new h(t,b,o[0],o[1],g,u)}(t,e)}throw new Error("gl-texture2d: Invalid arguments for texture2d constructor")};var o=null,s=null,l=null;function u(t){return"undefined"!=typeof HTMLCanvasElement&&t instanceof HTMLCanvasElement||"undefined"!=typeof HTMLImageElement&&t instanceof HTMLImageElement||"undefined"!=typeof HTMLVideoElement&&t instanceof HTMLVideoElement||"undefined"!=typeof ImageData&&t instanceof ImageData}var c=function(t,e){i.muls(t,e,255)};function f(t,e,r){var n=t.gl,i=n.getParameter(n.MAX_TEXTURE_SIZE);if(e<0||e>i||r<0||r>i)throw new Error("gl-texture2d: Invalid texture size");return t._shape=[e,r],t.bind(),n.texImage2D(n.TEXTURE_2D,0,t.format,e,r,0,t.format,t.type,null),t._mipLevels=[0],t}function h(t,e,r,n,i,a){this.gl=t,this.handle=e,this.format=i,this.type=a,this._shape=[r,n],this._mipLevels=[0],this._magFilter=t.NEAREST,this._minFilter=t.NEAREST,this._wrapS=t.CLAMP_TO_EDGE,this._wrapT=t.CLAMP_TO_EDGE,this._anisoSamples=1;var o=this,s=[this._wrapS,this._wrapT];Object.defineProperties(s,[{get:function(){return o._wrapS},set:function(t){return o.wrapS=t}},{get:function(){return o._wrapT},set:function(t){return o.wrapT=t}}]),this._wrapVector=s;var l=[this._shape[0],this._shape[1]];Object.defineProperties(l,[{get:function(){return o._shape[0]},set:function(t){return o.width=t}},{get:function(){return o._shape[1]},set:function(t){return o.height=t}}]),this._shapeVector=l}var p=h.prototype;function d(t,e){return 3===t.length?1===e[2]&&e[1]===t[0]*t[2]&&e[0]===t[2]:1===e[0]&&e[1]===t[0]}function v(t){var e=t.createTexture();return t.bindTexture(t.TEXTURE_2D,e),t.texParameteri(t.TEXTURE_2D,t.TEXTURE_MIN_FILTER,t.NEAREST),t.texParameteri(t.TEXTURE_2D,t.TEXTURE_MAG_FILTER,t.NEAREST),t.texParameteri(t.TEXTURE_2D,t.TEXTURE_WRAP_S,t.CLAMP_TO_EDGE),t.texParameteri(t.TEXTURE_2D,t.TEXTURE_WRAP_T,t.CLAMP_TO_EDGE),e}function g(t,e,r,n,i){var a=t.getParameter(t.MAX_TEXTURE_SIZE);if(e<0||e>a||r<0||r>a)throw new Error("gl-texture2d: Invalid texture shape");if(i===t.FLOAT&&!t.getExtension("OES_texture_float"))throw new Error("gl-texture2d: Floating point textures not supported on this platform");var o=v(t);return t.texImage2D(t.TEXTURE_2D,0,n,e,r,0,n,i,null),new h(t,o,e,r,n,i)}Object.defineProperties(p,{minFilter:{get:function(){return this._minFilter},set:function(t){this.bind();var e=this.gl;if(this.type===e.FLOAT&&o.indexOf(t)>=0&&(e.getExtension("OES_texture_float_linear")||(t=e.NEAREST)),s.indexOf(t)<0)throw new Error("gl-texture2d: Unknown filter mode "+t);return e.texParameteri(e.TEXTURE_2D,e.TEXTURE_MIN_FILTER,t),this._minFilter=t}},magFilter:{get:function(){return this._magFilter},set:function(t){this.bind();var e=this.gl;if(this.type===e.FLOAT&&o.indexOf(t)>=0&&(e.getExtension("OES_texture_float_linear")||(t=e.NEAREST)),s.indexOf(t)<0)throw new Error("gl-texture2d: Unknown filter mode "+t);return e.texParameteri(e.TEXTURE_2D,e.TEXTURE_MAG_FILTER,t),this._magFilter=t}},mipSamples:{get:function(){return this._anisoSamples},set:function(t){var e=this._anisoSamples;if(this._anisoSamples=0|Math.max(t,1),e!==this._anisoSamples){var r=this.gl.getExtension("EXT_texture_filter_anisotropic");r&&this.gl.texParameterf(this.gl.TEXTURE_2D,r.TEXTURE_MAX_ANISOTROPY_EXT,this._anisoSamples)}return this._anisoSamples}},wrapS:{get:function(){return this._wrapS},set:function(t){if(this.bind(),l.indexOf(t)<0)throw new Error("gl-texture2d: Unknown wrap mode "+t);return this.gl.texParameteri(this.gl.TEXTURE_2D,this.gl.TEXTURE_WRAP_S,t),this._wrapS=t}},wrapT:{get:function(){return this._wrapT},set:function(t){if(this.bind(),l.indexOf(t)<0)throw new Error("gl-texture2d: Unknown wrap mode "+t);return this.gl.texParameteri(this.gl.TEXTURE_2D,this.gl.TEXTURE_WRAP_T,t),this._wrapT=t}},wrap:{get:function(){return this._wrapVector},set:function(t){if(Array.isArray(t)||(t=[t,t]),2!==t.length)throw new Error("gl-texture2d: Must specify wrap mode for rows and columns");for(var e=0;e<2;++e)if(l.indexOf(t[e])<0)throw new Error("gl-texture2d: Unknown wrap mode "+t);this._wrapS=t[0],this._wrapT=t[1];var r=this.gl;return this.bind(),r.texParameteri(r.TEXTURE_2D,r.TEXTURE_WRAP_S,this._wrapS),r.texParameteri(r.TEXTURE_2D,r.TEXTURE_WRAP_T,this._wrapT),t}},shape:{get:function(){return this._shapeVector},set:function(t){if(Array.isArray(t)){if(2!==t.length)throw new Error("gl-texture2d: Invalid texture shape")}else t=[0|t,0|t];return f(this,0|t[0],0|t[1]),[0|t[0],0|t[1]]}},width:{get:function(){return this._shape[0]},set:function(t){return f(this,t|=0,this._shape[1]),t}},height:{get:function(){return this._shape[1]},set:function(t){return t|=0,f(this,this._shape[0],t),t}}}),p.bind=function(t){var e=this.gl;return void 0!==t&&e.activeTexture(e.TEXTURE0+(0|t)),e.bindTexture(e.TEXTURE_2D,this.handle),void 0!==t?0|t:e.getParameter(e.ACTIVE_TEXTURE)-e.TEXTURE0},p.dispose=function(){this.gl.deleteTexture(this.handle)},p.generateMipmap=function(){this.bind(),this.gl.generateMipmap(this.gl.TEXTURE_2D);for(var t=Math.min(this._shape[0],this._shape[1]),e=0;t>0;++e,t>>>=1)this._mipLevels.indexOf(e)<0&&this._mipLevels.push(e)},p.setPixels=function(t,e,r,o){var s=this.gl;this.bind(),Array.isArray(e)?(o=r,r=0|e[1],e=0|e[0]):(e=e||0,r=r||0),o=o||0;var l=u(t)?t:t.raw;if(l)this._mipLevels.indexOf(o)<0?(s.texImage2D(s.TEXTURE_2D,0,this.format,this.format,this.type,l),this._mipLevels.push(o)):s.texSubImage2D(s.TEXTURE_2D,o,e,r,this.format,this.type,l);else{if(!(t.shape&&t.stride&&t.data))throw new Error("gl-texture2d: Unsupported data type");if(t.shape.length<2||e+t.shape[1]>this._shape[1]>>>o||r+t.shape[0]>this._shape[0]>>>o||e<0||r<0)throw new Error("gl-texture2d: Texture dimensions are out of bounds");!function(t,e,r,o,s,l,u,f){var h=f.dtype,p=f.shape.slice();if(p.length<2||p.length>3)throw new Error("gl-texture2d: Invalid ndarray, must be 2d or 3d");var v=0,g=0,y=d(p,f.stride.slice());if("float32"===h?v=t.FLOAT:"float64"===h?(v=t.FLOAT,y=!1,h="float32"):"uint8"===h?v=t.UNSIGNED_BYTE:(v=t.UNSIGNED_BYTE,y=!1,h="uint8"),2===p.length)g=t.LUMINANCE,p=[p[0],p[1],1],f=n(f.data,p,[f.stride[0],f.stride[1],1],f.offset);else{if(3!==p.length)throw new Error("gl-texture2d: Invalid shape for texture");if(1===p[2])g=t.ALPHA;else 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L=_*r[a]+w*h[a]+T*e[a];E[4*a+1]=k*r[a]+A*h[a]+M*e[a],E[4*a+2]=L,E[4*a+3]=0}var C=E[1],P=E[5],O=E[9],I=E[2],D=E[6],z=E[10],R=P*z-O*D,F=O*I-C*z,B=C*D-P*I,N=u(R,F,B);for(R/=N,F/=N,B/=N,E[0]=R,E[4]=F,E[8]=B,a=0;a<3;++a)S[a]=b[a]+E[2+4*a]*p;for(a=0;a<3;++a){c=0;for(var j=0;j<3;++j)c+=E[a+4*j]*S[j];E[12+a]=-c}E[15]=1},p.getMatrix=function(t,e){this.recalcMatrix(t);var r=this.computedMatrix;if(e){for(var n=0;n<16;++n)e[n]=r[n];return e}return r};var d=[0,0,0];p.rotate=function(t,e,r,n){if(this.angle.move(t,e,r),n){this.recalcMatrix(t);var i=this.computedMatrix;d[0]=i[2],d[1]=i[6],d[2]=i[10];for(var o=this.computedUp,s=this.computedRight,l=this.computedToward,u=0;u<3;++u)i[4*u]=o[u],i[4*u+1]=s[u],i[4*u+2]=l[u];for(a(i,i,n,d),u=0;u<3;++u)o[u]=i[4*u],s[u]=i[4*u+1];this.up.set(t,o[0],o[1],o[2]),this.right.set(t,s[0],s[1],s[2])}},p.pan=function(t,e,r,n){e=e||0,r=r||0,n=n||0,this.recalcMatrix(t);var 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this.uint16[f+0]=e,this.uint16[f+1]=r,this.uint16[f+2]=n,this.uint16[f+3]=i,this.uint16[f+4]=a,this.uint16[f+5]=o,this.uint16[f+6]=s,this.uint16[f+7]=l,this.uint16[f+8]=u,this.uint16[f+9]=c,t},e}(Qi);sa.prototype.bytesPerElement=20,oi("StructArrayLayout10ui20",sa);var la=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.int16=new Int16Array(this.arrayBuffer),this.uint16=new Uint16Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r,n,i,a,o,s,l,u,c,f){var h=this.length;return this.resize(h+1),this.emplace(h,t,e,r,n,i,a,o,s,l,u,c,f)},e.prototype.emplace=function(t,e,r,n,i,a,o,s,l,u,c,f,h){var p=12*t;return this.int16[p+0]=e,this.int16[p+1]=r,this.int16[p+2]=n,this.int16[p+3]=i,this.uint16[p+4]=a,this.uint16[p+5]=o,this.uint16[p+6]=s,this.uint16[p+7]=l,this.int16[p+8]=u,this.int16[p+9]=c,this.int16[p+10]=f,this.int16[p+11]=h,t},e}(Qi);la.prototype.bytesPerElement=24,oi("StructArrayLayout4i4ui4i24",la);var ua=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.float32=new Float32Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r){var n=this.length;return this.resize(n+1),this.emplace(n,t,e,r)},e.prototype.emplace=function(t,e,r,n){var i=3*t;return this.float32[i+0]=e,this.float32[i+1]=r,this.float32[i+2]=n,t},e}(Qi);ua.prototype.bytesPerElement=12,oi("StructArrayLayout3f12",ua);var ca=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.uint32=new Uint32Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t){var e=this.length;return this.resize(e+1),this.emplace(e,t)},e.prototype.emplace=function(t,e){var r=1*t;return this.uint32[r+0]=e,t},e}(Qi);ca.prototype.bytesPerElement=4,oi("StructArrayLayout1ul4",ca);var fa=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.int16=new Int16Array(this.arrayBuffer),this.uint32=new Uint32Array(this.arrayBuffer),this.uint16=new Uint16Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r,n,i,a,o,s,l){var u=this.length;return this.resize(u+1),this.emplace(u,t,e,r,n,i,a,o,s,l)},e.prototype.emplace=function(t,e,r,n,i,a,o,s,l,u){var c=10*t,f=5*t;return this.int16[c+0]=e,this.int16[c+1]=r,this.int16[c+2]=n,this.int16[c+3]=i,this.int16[c+4]=a,this.int16[c+5]=o,this.uint32[f+3]=s,this.uint16[c+8]=l,this.uint16[c+9]=u,t},e}(Qi);fa.prototype.bytesPerElement=20,oi("StructArrayLayout6i1ul2ui20",fa);var ha=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.int16=new Int16Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r,n,i,a){var o=this.length;return this.resize(o+1),this.emplace(o,t,e,r,n,i,a)},e.prototype.emplace=function(t,e,r,n,i,a,o){var s=6*t;return this.int16[s+0]=e,this.int16[s+1]=r,this.int16[s+2]=n,this.int16[s+3]=i,this.int16[s+4]=a,this.int16[s+5]=o,t},e}(Qi);ha.prototype.bytesPerElement=12,oi("StructArrayLayout2i2i2i12",ha);var pa=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.float32=new Float32Array(this.arrayBuffer),this.int16=new Int16Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r,n,i){var a=this.length;return this.resize(a+1),this.emplace(a,t,e,r,n,i)},e.prototype.emplace=function(t,e,r,n,i,a){var o=4*t,s=8*t;return this.float32[o+0]=e,this.float32[o+1]=r,this.float32[o+2]=n,this.int16[s+6]=i,this.int16[s+7]=a,t},e}(Qi);pa.prototype.bytesPerElement=16,oi("StructArrayLayout2f1f2i16",pa);var da=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.float32=new Float32Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r,n){var i=this.length;return this.resize(i+1),this.emplace(i,t,e,r,n)},e.prototype.emplace=function(t,e,r,n,i){var a=12*t,o=3*t;return this.uint8[a+0]=e,this.uint8[a+1]=r,this.float32[o+1]=n,this.float32[o+2]=i,t},e}(Qi);da.prototype.bytesPerElement=12,oi("StructArrayLayout2ub2f12",da);var va=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.uint16=new Uint16Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r){var n=this.length;return this.resize(n+1),this.emplace(n,t,e,r)},e.prototype.emplace=function(t,e,r,n){var i=3*t;return this.uint16[i+0]=e,this.uint16[i+1]=r,this.uint16[i+2]=n,t},e}(Qi);va.prototype.bytesPerElement=6,oi("StructArrayLayout3ui6",va);var ga=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.int16=new Int16Array(this.arrayBuffer),this.uint16=new Uint16Array(this.arrayBuffer),this.uint32=new Uint32Array(this.arrayBuffer),this.float32=new Float32Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r,n,i,a,o,s,l,u,c,f,h,p,d,v,g){var y=this.length;return this.resize(y+1),this.emplace(y,t,e,r,n,i,a,o,s,l,u,c,f,h,p,d,v,g)},e.prototype.emplace=function(t,e,r,n,i,a,o,s,l,u,c,f,h,p,d,v,g,y){var m=24*t,x=12*t,b=48*t;return this.int16[m+0]=e,this.int16[m+1]=r,this.uint16[m+2]=n,this.uint16[m+3]=i,this.uint32[x+2]=a,this.uint32[x+3]=o,this.uint32[x+4]=s,this.uint16[m+10]=l,this.uint16[m+11]=u,this.uint16[m+12]=c,this.float32[x+7]=f,this.float32[x+8]=h,this.uint8[b+36]=p,this.uint8[b+37]=d,this.uint8[b+38]=v,this.uint32[x+10]=g,this.int16[m+22]=y,t},e}(Qi);ga.prototype.bytesPerElement=48,oi("StructArrayLayout2i2ui3ul3ui2f3ub1ul1i48",ga);var ya=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.int16=new Int16Array(this.arrayBuffer),this.uint16=new Uint16Array(this.arrayBuffer),this.uint32=new Uint32Array(this.arrayBuffer),this.float32=new Float32Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r,n,i,a,o,s,l,u,c,f,h,p,d,v,g,y,m,x,b,_,w,T,k,A,M,S){var E=this.length;return this.resize(E+1),this.emplace(E,t,e,r,n,i,a,o,s,l,u,c,f,h,p,d,v,g,y,m,x,b,_,w,T,k,A,M,S)},e.prototype.emplace=function(t,e,r,n,i,a,o,s,l,u,c,f,h,p,d,v,g,y,m,x,b,_,w,T,k,A,M,S,E){var L=34*t,C=17*t;return this.int16[L+0]=e,this.int16[L+1]=r,this.int16[L+2]=n,this.int16[L+3]=i,this.int16[L+4]=a,this.int16[L+5]=o,this.int16[L+6]=s,this.int16[L+7]=l,this.uint16[L+8]=u,this.uint16[L+9]=c,this.uint16[L+10]=f,this.uint16[L+11]=h,this.uint16[L+12]=p,this.uint16[L+13]=d,this.uint16[L+14]=v,this.uint16[L+15]=g,this.uint16[L+16]=y,this.uint16[L+17]=m,this.uint16[L+18]=x,this.uint16[L+19]=b,this.uint16[L+20]=_,this.uint16[L+21]=w,this.uint16[L+22]=T,this.uint32[C+12]=k,this.float32[C+13]=A,this.float32[C+14]=M,this.float32[C+15]=S,this.float32[C+16]=E,t},e}(Qi);ya.prototype.bytesPerElement=68,oi("StructArrayLayout8i15ui1ul4f68",ya);var ma=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.float32=new Float32Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t){var e=this.length;return this.resize(e+1),this.emplace(e,t)},e.prototype.emplace=function(t,e){var r=1*t;return this.float32[r+0]=e,t},e}(Qi);ma.prototype.bytesPerElement=4,oi("StructArrayLayout1f4",ma);var xa=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.int16=new Int16Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r){var n=this.length;return this.resize(n+1),this.emplace(n,t,e,r)},e.prototype.emplace=function(t,e,r,n){var i=3*t;return this.int16[i+0]=e,this.int16[i+1]=r,this.int16[i+2]=n,t},e}(Qi);xa.prototype.bytesPerElement=6,oi("StructArrayLayout3i6",xa);var ba=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.uint32=new Uint32Array(this.arrayBuffer),this.uint16=new Uint16Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r){var n=this.length;return this.resize(n+1),this.emplace(n,t,e,r)},e.prototype.emplace=function(t,e,r,n){var i=2*t,a=4*t;return this.uint32[i+0]=e,this.uint16[a+2]=r,this.uint16[a+3]=n,t},e}(Qi);ba.prototype.bytesPerElement=8,oi("StructArrayLayout1ul2ui8",ba);var _a=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.uint16=new Uint16Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e){var r=this.length;return this.resize(r+1),this.emplace(r,t,e)},e.prototype.emplace=function(t,e,r){var n=2*t;return this.uint16[n+0]=e,this.uint16[n+1]=r,t},e}(Qi);_a.prototype.bytesPerElement=4,oi("StructArrayLayout2ui4",_a);var wa=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.uint16=new Uint16Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t){var e=this.length;return this.resize(e+1),this.emplace(e,t)},e.prototype.emplace=function(t,e){var r=1*t;return this.uint16[r+0]=e,t},e}(Qi);wa.prototype.bytesPerElement=2,oi("StructArrayLayout1ui2",wa);var Ta=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.float32=new Float32Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r,n){var i=this.length;return this.resize(i+1),this.emplace(i,t,e,r,n)},e.prototype.emplace=function(t,e,r,n,i){var a=4*t;return this.float32[a+0]=e,this.float32[a+1]=r,this.float32[a+2]=n,this.float32[a+3]=i,t},e}(Qi);Ta.prototype.bytesPerElement=16,oi("StructArrayLayout4f16",Ta);var ka=function(t){function e(){t.apply(this,arguments)}t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e;var r={anchorPointX:{configurable:!0},anchorPointY:{configurable:!0},x1:{configurable:!0},y1:{configurable:!0},x2:{configurable:!0},y2:{configurable:!0},featureIndex:{configurable:!0},sourceLayerIndex:{configurable:!0},bucketIndex:{configurable:!0},anchorPoint:{configurable:!0}};return r.anchorPointX.get=function(){return this._structArray.int16[this._pos2+0]},r.anchorPointY.get=function(){return this._structArray.int16[this._pos2+1]},r.x1.get=function(){return this._structArray.int16[this._pos2+2]},r.y1.get=function(){return this._structArray.int16[this._pos2+3]},r.x2.get=function(){return this._structArray.int16[this._pos2+4]},r.y2.get=function(){return this._structArray.int16[this._pos2+5]},r.featureIndex.get=function(){return this._structArray.uint32[this._pos4+3]},r.sourceLayerIndex.get=function(){return this._structArray.uint16[this._pos2+8]},r.bucketIndex.get=function(){return this._structArray.uint16[this._pos2+9]},r.anchorPoint.get=function(){return new a(this.anchorPointX,this.anchorPointY)},Object.defineProperties(e.prototype,r),e}($i);ka.prototype.size=20;var Aa=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.get=function(t){return new ka(this,t)},e}(fa);oi("CollisionBoxArray",Aa);var Ma=function(t){function e(){t.apply(this,arguments)}t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e;var r={anchorX:{configurable:!0},anchorY:{configurable:!0},glyphStartIndex:{configurable:!0},numGlyphs:{configurable:!0},vertexStartIndex:{configurable:!0},lineStartIndex:{configurable:!0},lineLength:{configurable:!0},segment:{configurable:!0},lowerSize:{configurable:!0},upperSize:{configurable:!0},lineOffsetX:{configurable:!0},lineOffsetY:{configurable:!0},writingMode:{configurable:!0},placedOrientation:{configurable:!0},hidden:{configurable:!0},crossTileID:{configurable:!0},associatedIconIndex:{configurable:!0}};return r.anchorX.get=function(){return this._structArray.int16[this._pos2+0]},r.anchorY.get=function(){return this._structArray.int16[this._pos2+1]},r.glyphStartIndex.get=function(){return this._structArray.uint16[this._pos2+2]},r.numGlyphs.get=function(){return this._structArray.uint16[this._pos2+3]},r.vertexStartIndex.get=function(){return this._structArray.uint32[this._pos4+2]},r.lineStartIndex.get=function(){return this._structArray.uint32[this._pos4+3]},r.lineLength.get=function(){return this._structArray.uint32[this._pos4+4]},r.segment.get=function(){return this._structArray.uint16[this._pos2+10]},r.lowerSize.get=function(){return this._structArray.uint16[this._pos2+11]},r.upperSize.get=function(){return this._structArray.uint16[this._pos2+12]},r.lineOffsetX.get=function(){return this._structArray.float32[this._pos4+7]},r.lineOffsetY.get=function(){return this._structArray.float32[this._pos4+8]},r.writingMode.get=function(){return this._structArray.uint8[this._pos1+36]},r.placedOrientation.get=function(){return this._structArray.uint8[this._pos1+37]},r.placedOrientation.set=function(t){this._structArray.uint8[this._pos1+37]=t},r.hidden.get=function(){return this._structArray.uint8[this._pos1+38]},r.hidden.set=function(t){this._structArray.uint8[this._pos1+38]=t},r.crossTileID.get=function(){return this._structArray.uint32[this._pos4+10]},r.crossTileID.set=function(t){this._structArray.uint32[this._pos4+10]=t},r.associatedIconIndex.get=function(){return this._structArray.int16[this._pos2+22]},Object.defineProperties(e.prototype,r),e}($i);Ma.prototype.size=48;var Sa=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.get=function(t){return new Ma(this,t)},e}(ga);oi("PlacedSymbolArray",Sa);var Ea=function(t){function e(){t.apply(this,arguments)}t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e;var r={anchorX:{configurable:!0},anchorY:{configurable:!0},rightJustifiedTextSymbolIndex:{configurable:!0},centerJustifiedTextSymbolIndex:{configurable:!0},leftJustifiedTextSymbolIndex:{configurable:!0},verticalPlacedTextSymbolIndex:{configurable:!0},placedIconSymbolIndex:{configurable:!0},verticalPlacedIconSymbolIndex:{configurable:!0},key:{configurable:!0},textBoxStartIndex:{configurable:!0},textBoxEndIndex:{configurable:!0},verticalTextBoxStartIndex:{configurable:!0},verticalTextBoxEndIndex:{configurable:!0},iconBoxStartIndex:{configurable:!0},iconBoxEndIndex:{configurable:!0},verticalIconBoxStartIndex:{configurable:!0},verticalIconBoxEndIndex:{configurable:!0},featureIndex:{configurable:!0},numHorizontalGlyphVertices:{configurable:!0},numVerticalGlyphVertices:{configurable:!0},numIconVertices:{configurable:!0},numVerticalIconVertices:{configurable:!0},useRuntimeCollisionCircles:{configurable:!0},crossTileID:{configurable:!0},textBoxScale:{configurable:!0},textOffset0:{configurable:!0},textOffset1:{configurable:!0},collisionCircleDiameter:{configurable:!0}};return 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L=Uu(h,y,v),C=Uu(p,m,g),P=0;P0&&(d=Math.max(10,d),this.circleDiameter=d)}else{var v=o.top*s-l,g=o.bottom*s+l,y=o.left*s-l,m=o.right*s+l,x=o.collisionPadding;if(x&&(y-=x[0]*s,v-=x[1]*s,m+=x[2]*s,g+=x[3]*s),c){var b=new a(y,v),_=new a(m,v),w=new a(y,g),T=new a(m,g),k=c*Math.PI/180;b._rotate(k),_._rotate(k),w._rotate(k),T._rotate(k),y=Math.min(b.x,_.x,w.x,T.x),m=Math.max(b.x,_.x,w.x,T.x),v=Math.min(b.y,_.y,w.y,T.y),g=Math.max(b.y,_.y,w.y,T.y)}t.emplaceBack(e.x,e.y,y,v,m,g,r,n,i)}this.boxEndIndex=t.length},Gu=function(t,e){if(void 0===t&&(t=[]),void 0===e&&(e=Wu),this.data=t,this.length=this.data.length,this.compare=e,this.length>0)for(var r=(this.length>>1)-1;r>=0;r--)this._down(r)};function Wu(t,e){return te?1:0}function Yu(t,e,r){void 0===e&&(e=1),void 0===r&&(r=!1);for(var n=1/0,i=1/0,o=-1/0,s=-1/0,l=t[0],u=0;uo)&&(o=c.x),(!u||c.y>s)&&(s=c.y)}var f=o-n,h=s-i,p=Math.min(f,h),d=p/2,v=new Gu([],Xu);if(0===p)return new a(n,i);for(var g=n;gm.d||!m.d)&&(m=b,r&&console.log("found best %d 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i=t-1>>1,a=e[i];if(r(n,a)>=0)break;e[t]=a,t=i}e[t]=n},Gu.prototype._down=function(t){for(var e=this.data,r=this.compare,n=this.length>>1,i=e[t];t=0)break;e[t]=o,t=a}e[t]=i};var Ku=7,Ju=Number.POSITIVE_INFINITY;function $u(t,e){return e[1]!==Ju?function(t,e,r){var n=0,i=0;switch(e=Math.abs(e),r=Math.abs(r),t){case"top-right":case"top-left":case"top":i=r-Ku;break;case"bottom-right":case"bottom-left":case"bottom":i=-r+Ku}switch(t){case"top-right":case"bottom-right":case"right":n=-e;break;case"top-left":case"bottom-left":case"left":n=e}return[n,i]}(t,e[0],e[1]):function(t,e){var r=0,n=0;e<0&&(e=0);var i=e/Math.sqrt(2);switch(t){case"top-right":case"top-left":n=i-Ku;break;case"bottom-right":case"bottom-left":n=-i+Ku;break;case"bottom":n=-e+Ku;break;case"top":n=e-Ku}switch(t){case"top-right":case"bottom-right":r=-i;break;case"top-left":case"bottom-left":r=i;break;case"left":r=e;break;case"right":r=-e}return[r,n]}(t,e[0])}function Qu(t){switch(t){case"right":case"top-right":case"bottom-right":return"right";case"left":case"top-left":case"bottom-left":return"left"}return"center"}var tc=255,ec=tc*Au;function rc(t,e,r,n,i,o,s,l,u,c,f,h,p,d,v){var g=function(t,e,r,n,i,o,s,l){for(var u=n.layout.get("text-rotate").evaluate(o,{})*Math.PI/180,c=[],f=0,h=e.positionedLines;fec&&k(t.layerIds[0]+': Value for "text-size" is >= '+tc+'. 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this.hasDebugData()&&this.iconCollisionBox.segments.get().length>0},hc.prototype.addIndicesForPlacedSymbol=function(t,e){for(var r=t.placedSymbolArray.get(e),n=r.vertexStartIndex+4*r.numGlyphs,i=r.vertexStartIndex;i1||this.icon.segments.get().length>1)){this.symbolInstanceIndexes=this.getSortedSymbolIndexes(t),this.sortedAngle=t,this.text.indexArray.clear(),this.icon.indexArray.clear(),this.featureSortOrder=[];for(var 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qi(Ft.layout_symbol["symbol-z-order"]),"icon-allow-overlap":new qi(Ft.layout_symbol["icon-allow-overlap"]),"icon-ignore-placement":new qi(Ft.layout_symbol["icon-ignore-placement"]),"icon-optional":new qi(Ft.layout_symbol["icon-optional"]),"icon-rotation-alignment":new qi(Ft.layout_symbol["icon-rotation-alignment"]),"icon-size":new Hi(Ft.layout_symbol["icon-size"]),"icon-text-fit":new qi(Ft.layout_symbol["icon-text-fit"]),"icon-text-fit-padding":new qi(Ft.layout_symbol["icon-text-fit-padding"]),"icon-image":new Hi(Ft.layout_symbol["icon-image"]),"icon-rotate":new Hi(Ft.layout_symbol["icon-rotate"]),"icon-padding":new qi(Ft.layout_symbol["icon-padding"]),"icon-keep-upright":new qi(Ft.layout_symbol["icon-keep-upright"]),"icon-offset":new Hi(Ft.layout_symbol["icon-offset"]),"icon-anchor":new Hi(Ft.layout_symbol["icon-anchor"]),"icon-pitch-alignment":new qi(Ft.layout_symbol["icon-pitch-alignment"]),"text-pitch-alignment":new qi(Ft.layout_symbol["text-pitch-alignment"]),"text-rotation-alignment":new qi(Ft.layout_symbol["text-rotation-alignment"]),"text-field":new Hi(Ft.layout_symbol["text-field"]),"text-font":new Hi(Ft.layout_symbol["text-font"]),"text-size":new Hi(Ft.layout_symbol["text-size"]),"text-max-width":new Hi(Ft.layout_symbol["text-max-width"]),"text-line-height":new qi(Ft.layout_symbol["text-line-height"]),"text-letter-spacing":new Hi(Ft.layout_symbol["text-letter-spacing"]),"text-justify":new Hi(Ft.layout_symbol["text-justify"]),"text-radial-offset":new Hi(Ft.layout_symbol["text-radial-offset"]),"text-variable-anchor":new qi(Ft.layout_symbol["text-variable-anchor"]),"text-anchor":new Hi(Ft.layout_symbol["text-anchor"]),"text-max-angle":new qi(Ft.layout_symbol["text-max-angle"]),"text-writing-mode":new qi(Ft.layout_symbol["text-writing-mode"]),"text-rotate":new Hi(Ft.layout_symbol["text-rotate"]),"text-padding":new qi(Ft.layout_symbol["text-padding"]),"text-keep-upright":new qi(Ft.layout_symbol["text-keep-upright"]),"text-transform":new Hi(Ft.layout_symbol["text-transform"]),"text-offset":new Hi(Ft.layout_symbol["text-offset"]),"text-allow-overlap":new qi(Ft.layout_symbol["text-allow-overlap"]),"text-ignore-placement":new qi(Ft.layout_symbol["text-ignore-placement"]),"text-optional":new qi(Ft.layout_symbol["text-optional"])}),dc={paint:new Xi({"icon-opacity":new Hi(Ft.paint_symbol["icon-opacity"]),"icon-color":new Hi(Ft.paint_symbol["icon-color"]),"icon-halo-color":new Hi(Ft.paint_symbol["icon-halo-color"]),"icon-halo-width":new Hi(Ft.paint_symbol["icon-halo-width"]),"icon-halo-blur":new Hi(Ft.paint_symbol["icon-halo-blur"]),"icon-translate":new qi(Ft.paint_symbol["icon-translate"]),"icon-translate-anchor":new qi(Ft.paint_symbol["icon-translate-anchor"]),"text-opacity":new Hi(Ft.paint_symbol["text-opacity"]),"text-color":new Hi(Ft.paint_symbol["text-color"],{runtimeType:Zt,getOverride:function(t){return t.textColor},hasOverride:function(t){return!!t.textColor}}),"text-halo-color":new Hi(Ft.paint_symbol["text-halo-color"]),"text-halo-width":new Hi(Ft.paint_symbol["text-halo-width"]),"text-halo-blur":new Hi(Ft.paint_symbol["text-halo-blur"]),"text-translate":new qi(Ft.paint_symbol["text-translate"]),"text-translate-anchor":new qi(Ft.paint_symbol["text-translate-anchor"])}),layout:pc},vc=function(t){this.type=t.property.overrides?t.property.overrides.runtimeType:Gt,this.defaultValue=t};vc.prototype.evaluate=function(t){if(t.formattedSection){var e=this.defaultValue.property.overrides;if(e&&e.hasOverride(t.formattedSection))return e.getOverride(t.formattedSection)}return t.feature&&t.featureState?this.defaultValue.evaluate(t.feature,t.featureState):this.defaultValue.property.specification.default},vc.prototype.eachChild=function(t){this.defaultValue.isConstant()||t(this.defaultValue.value._styleExpression.expression)},vc.prototype.outputDefined=function(){return!1},vc.prototype.serialize=function(){return null},oi("FormatSectionOverride",vc,{omit:["defaultValue"]});var gc=function(t){function e(e){t.call(this,e,dc)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.recalculate=function(e,r){if(t.prototype.recalculate.call(this,e,r),"auto"===this.layout.get("icon-rotation-alignment")&&("point"!==this.layout.get("symbol-placement")?this.layout._values["icon-rotation-alignment"]="map":this.layout._values["icon-rotation-alignment"]="viewport"),"auto"===this.layout.get("text-rotation-alignment")&&("point"!==this.layout.get("symbol-placement")?this.layout._values["text-rotation-alignment"]="map":this.layout._values["text-rotation-alignment"]="viewport"),"auto"===this.layout.get("text-pitch-alignment")&&(this.layout._values["text-pitch-alignment"]=this.layout.get("text-rotation-alignment")),"auto"===this.layout.get("icon-pitch-alignment")&&(this.layout._values["icon-pitch-alignment"]=this.layout.get("icon-rotation-alignment")),"point"===this.layout.get("symbol-placement")){var n=this.layout.get("text-writing-mode");if(n){for(var i=[],a=0,o=n;a",targetMapId:n,sourceMapId:a.mapId})}}},Cc.prototype.receive=function(t){var e=t.data,r=e.id;if(r&&(!e.targetMapId||this.mapId===e.targetMapId))if(""===e.type){delete this.tasks[r];var n=this.cancelCallbacks[r];delete this.cancelCallbacks[r],n&&n()}else S()||e.mustQueue?(this.tasks[r]=e,this.taskQueue.push(r),this.invoker.trigger()):this.processTask(r,e)},Cc.prototype.process=function(){if(this.taskQueue.length){var t=this.taskQueue.shift(),e=this.tasks[t];delete this.tasks[t],this.taskQueue.length&&this.invoker.trigger(),e&&this.processTask(t,e)}},Cc.prototype.processTask=function(t,e){var r=this;if(""===e.type){var n=this.callbacks[t];delete this.callbacks[t],n&&(e.error?n(fi(e.error)):n(null,fi(e.data)))}else{var i=!1,a=C(this.globalScope)?void 0:[],o=e.hasCallback?function(e,n){i=!0,delete r.cancelCallbacks[t],r.target.postMessage({id:t,type:"",sourceMapId:r.mapId,error:e?ci(e):null,data:ci(n,a)},a)}:function(t){i=!0},s=null,l=fi(e.data);if(this.parent[e.type])s=this.parent[e.type](e.sourceMapId,l,o);else if(this.parent.getWorkerSource){var u=e.type.split(".");s=this.parent.getWorkerSource(e.sourceMapId,u[0],l.source)[u[1]](l,o)}else o(new Error("Could not find function "+e.type));!i&&s&&s.cancel&&(this.cancelCallbacks[t]=s.cancel)}},Cc.prototype.remove=function(){this.invoker.remove(),this.target.removeEventListener("message",this.receive,!1)};var Oc=function(t,e){t&&(e?this.setSouthWest(t).setNorthEast(e):4===t.length?this.setSouthWest([t[0],t[1]]).setNorthEast([t[2],t[3]]):this.setSouthWest(t[0]).setNorthEast(t[1]))};Oc.prototype.setNorthEast=function(t){return this._ne=t instanceof Dc?new Dc(t.lng,t.lat):Dc.convert(t),this},Oc.prototype.setSouthWest=function(t){return this._sw=t instanceof Dc?new Dc(t.lng,t.lat):Dc.convert(t),this},Oc.prototype.extend=function(t){var e,r,n=this._sw,i=this._ne;if(t instanceof Dc)e=t,r=t;else{if(!(t instanceof Oc)){if(Array.isArray(t)){if(4===t.length||t.every(Array.isArray)){var a=t;return this.extend(Oc.convert(a))}var o=t;return this.extend(Dc.convert(o))}return this}if(e=t._sw,r=t._ne,!e||!r)return this}return n||i?(n.lng=Math.min(e.lng,n.lng),n.lat=Math.min(e.lat,n.lat),i.lng=Math.max(r.lng,i.lng),i.lat=Math.max(r.lat,i.lat)):(this._sw=new Dc(e.lng,e.lat),this._ne=new Dc(r.lng,r.lat)),this},Oc.prototype.getCenter=function(){return new Dc((this._sw.lng+this._ne.lng)/2,(this._sw.lat+this._ne.lat)/2)},Oc.prototype.getSouthWest=function(){return this._sw},Oc.prototype.getNorthEast=function(){return this._ne},Oc.prototype.getNorthWest=function(){return new Dc(this.getWest(),this.getNorth())},Oc.prototype.getSouthEast=function(){return new Dc(this.getEast(),this.getSouth())},Oc.prototype.getWest=function(){return this._sw.lng},Oc.prototype.getSouth=function(){return this._sw.lat},Oc.prototype.getEast=function(){return this._ne.lng},Oc.prototype.getNorth=function(){return this._ne.lat},Oc.prototype.toArray=function(){return[this._sw.toArray(),this._ne.toArray()]},Oc.prototype.toString=function(){return"LngLatBounds("+this._sw.toString()+", "+this._ne.toString()+")"},Oc.prototype.isEmpty=function(){return!(this._sw&&this._ne)},Oc.prototype.contains=function(t){var e=Dc.convert(t),r=e.lng,n=e.lat,i=this._sw.lat<=n&&n<=this._ne.lat,a=this._sw.lng<=r&&r<=this._ne.lng;return this._sw.lng>this._ne.lng&&(a=this._sw.lng>=r&&r>=this._ne.lng),i&&a},Oc.convert=function(t){return!t||t instanceof Oc?t:new Oc(t)};var Ic=6371008.8,Dc=function(t,e){if(isNaN(t)||isNaN(e))throw new Error("Invalid LngLat object: ("+t+", "+e+")");if(this.lng=+t,this.lat=+e,this.lat>90||this.lat<-90)throw new Error("Invalid LngLat latitude value: must be between -90 and 90")};Dc.prototype.wrap=function(){return new Dc(h(this.lng,-180,180),this.lat)},Dc.prototype.toArray=function(){return[this.lng,this.lat]},Dc.prototype.toString=function(){return"LngLat("+this.lng+", "+this.lat+")"},Dc.prototype.distanceTo=function(t){var e=Math.PI/180,r=this.lat*e,n=t.lat*e,i=Math.sin(r)*Math.sin(n)+Math.cos(r)*Math.cos(n)*Math.cos((t.lng-this.lng)*e);return Ic*Math.acos(Math.min(i,1))},Dc.prototype.toBounds=function(t){void 0===t&&(t=0);var e=360*t/40075017,r=e/Math.cos(Math.PI/180*this.lat);return new Oc(new Dc(this.lng-r,this.lat-e),new Dc(this.lng+r,this.lat+e))},Dc.convert=function(t){if(t instanceof Dc)return t;if(Array.isArray(t)&&(2===t.length||3===t.length))return new Dc(Number(t[0]),Number(t[1]));if(!Array.isArray(t)&&"object"==typeof t&&null!==t)return new Dc(Number("lng"in t?t.lng:t.lon),Number(t.lat));throw new Error("`LngLatLike` argument must be specified as a LngLat instance, an object {lng: , lat: }, an object {lon: , lat: }, or an array of [, ]")};var zc=2*Math.PI*Ic;function Rc(t){return zc*Math.cos(t*Math.PI/180)}function Fc(t){return(180+t)/360}function Bc(t){return(180-180/Math.PI*Math.log(Math.tan(Math.PI/4+t*Math.PI/360)))/360}function Nc(t,e){return t/Rc(e)}function jc(t){var e=180-360*t;return 360/Math.PI*Math.atan(Math.exp(e*Math.PI/180))-90}var Uc=function(t,e,r){void 0===r&&(r=0),this.x=+t,this.y=+e,this.z=+r};Uc.fromLngLat=function(t,e){void 0===e&&(e=0);var r=Dc.convert(t);return new Uc(Fc(r.lng),Bc(r.lat),Nc(e,r.lat))},Uc.prototype.toLngLat=function(){return new Dc(360*this.x-180,jc(this.y))},Uc.prototype.toAltitude=function(){return t=this.z,e=this.y,t*Rc(jc(e));var t,e},Uc.prototype.meterInMercatorCoordinateUnits=function(){return 1/zc*(t=jc(this.y),1/Math.cos(t*Math.PI/180));var t};var Vc=function(t,e,r){this.z=t,this.x=e,this.y=r,this.key=Gc(0,t,t,e,r)};Vc.prototype.equals=function(t){return this.z===t.z&&this.x===t.x&&this.y===t.y},Vc.prototype.url=function(t,e){var r,n,i,a,o,s=(r=this.x,n=this.y,i=this.z,a=Pc(256*r,256*(n=Math.pow(2,i)-n-1),i),o=Pc(256*(r+1),256*(n+1),i),a[0]+","+a[1]+","+o[0]+","+o[1]),l=function(t,e,r){for(var n,i="",a=t;a>0;a--)i+=(e&(n=1<this.canonical.z?new Hc(t,this.wrap,this.canonical.z,this.canonical.x,this.canonical.y):new Hc(t,this.wrap,t,this.canonical.x>>e,this.canonical.y>>e)},Hc.prototype.calculateScaledKey=function(t,e){var r=this.canonical.z-t;return t>this.canonical.z?Gc(this.wrap*+e,t,this.canonical.z,this.canonical.x,this.canonical.y):Gc(this.wrap*+e,t,t,this.canonical.x>>r,this.canonical.y>>r)},Hc.prototype.isChildOf=function(t){if(t.wrap!==this.wrap)return!1;var e=this.canonical.z-t.canonical.z;return 0===t.overscaledZ||t.overscaledZ>e&&t.canonical.y===this.canonical.y>>e},Hc.prototype.children=function(t){if(this.overscaledZ>=t)return[new Hc(this.overscaledZ+1,this.wrap,this.canonical.z,this.canonical.x,this.canonical.y)];var e=this.canonical.z+1,r=2*this.canonical.x,n=2*this.canonical.y;return[new Hc(e,this.wrap,e,r,n),new Hc(e,this.wrap,e,r+1,n),new Hc(e,this.wrap,e,r,n+1),new Hc(e,this.wrap,e,r+1,n+1)]},Hc.prototype.isLessThan=function(t){return this.wrapt.wrap)&&(this.overscaledZt.overscaledZ)&&(this.canonical.xt.canonical.x)&&this.canonical.y=this.dim+1||e<-1||e>=this.dim+1)throw new RangeError("out of range source coordinates for DEM data");return(e+1)*this.stride+(t+1)},Wc.prototype._unpackMapbox=function(t,e,r){return(256*t*256+256*e+r)/10-1e4},Wc.prototype._unpackTerrarium=function(t,e,r){return 256*t+e+r/256-32768},Wc.prototype.getPixels=function(){return new $o({width:this.stride,height:this.stride},new Uint8Array(this.data.buffer))},Wc.prototype.backfillBorder=function(t,e,r){if(this.dim!==t.dim)throw new Error("dem dimension mismatch");var n=e*this.dim,i=e*this.dim+this.dim,a=r*this.dim,o=r*this.dim+this.dim;switch(e){case-1:n=i-1;break;case 1:i=n+1}switch(r){case-1:a=o-1;break;case 1:o=a+1}for(var s=-e*this.dim,l=-r*this.dim,u=a;u=0&&c[3]>=0&&s.insert(o,c[0],c[1],c[2],c[3])}},Jc.prototype.loadVTLayers=function(){return this.vtLayers||(this.vtLayers=new tl.VectorTile(new Ol(this.rawTileData)).layers,this.sourceLayerCoder=new Yc(this.vtLayers?Object.keys(this.vtLayers).sort():["_geojsonTileLayer"])),this.vtLayers},Jc.prototype.query=function(t,e,r,n){var i=this;this.loadVTLayers();for(var o=t.params||{},s=po/t.tileSize/t.scale,l=An(o.filter),u=t.queryGeometry,c=t.queryPadding*s,f=Qc(u),h=this.grid.query(f.minX-c,f.minY-c,f.maxX+c,f.maxY+c),p=Qc(t.cameraQueryGeometry),d=0,v=this.grid3D.query(p.minX-c,p.minY-c,p.maxX+c,p.maxY+c,(function(e,r,n,i){return function(t,e,r,n,i){for(var o=0,s=t;o=l.x&&i>=l.y)return!0}var u=[new a(e,r),new a(e,i),new a(n,i),new a(n,r)];if(t.length>2)for(var c=0,f=u;c=0)return!0;return!1}(a,f)){var h=this.sourceLayerCoder.decode(r),d=this.vtLayers[h].feature(n);if(i.needGeometry){var v=mo(d,!0);if(!i.filter(new Di(this.tileID.overscaledZ),v,this.tileID.canonical))return}else if(!i.filter(new Di(this.tileID.overscaledZ),d))return;for(var g=this.getId(d,h),y=0;yn)i=!1;else if(e)if(this.expirationTimeht&&(t.getActor().send("enforceCacheSizeLimit",ft),xt=0)},t.clamp=f,t.clearTileCache=function(t){var e=s.caches.delete(ct);t&&e.catch(t).then((function(){return t()}))},t.clipLine=Fu,t.clone=function(t){var e=new Fo(16);return e[0]=t[0],e[1]=t[1],e[2]=t[2],e[3]=t[3],e[4]=t[4],e[5]=t[5],e[6]=t[6],e[7]=t[7],e[8]=t[8],e[9]=t[9],e[10]=t[10],e[11]=t[11],e[12]=t[12],e[13]=t[13],e[14]=t[14],e[15]=t[15],e},t.clone$1=w,t.clone$2=function(t){var e=new Fo(3);return e[0]=t[0],e[1]=t[1],e[2]=t[2],e},t.collisionCircleLayout=Ml,t.config=j,t.create=function(){var t=new Fo(16);return Fo!=Float32Array&&(t[1]=0,t[2]=0,t[3]=0,t[4]=0,t[6]=0,t[7]=0,t[8]=0,t[9]=0,t[11]=0,t[12]=0,t[13]=0,t[14]=0),t[0]=1,t[5]=1,t[10]=1,t[15]=1,t},t.create$1=function(){var t=new Fo(9);return Fo!=Float32Array&&(t[1]=0,t[2]=0,t[3]=0,t[5]=0,t[6]=0,t[7]=0),t[0]=1,t[4]=1,t[8]=1,t},t.create$2=function(){var t=new Fo(4);return Fo!=Float32Array&&(t[1]=0,t[2]=0),t[0]=1,t[3]=1,t},t.createCommonjsModule=e,t.createExpression=fn,t.createLayout=ta,t.createStyleLayer=function(t){return"custom"===t.type?new _c(t):new wc[t.type](t)},t.cross=function(t,e,r){var n=e[0],i=e[1],a=e[2],o=r[0],s=r[1],l=r[2];return t[0]=i*l-a*s,t[1]=a*o-n*l,t[2]=n*s-i*o,t},t.deepEqual=function t(e,r){if(Array.isArray(e)){if(!Array.isArray(r)||e.length!==r.length)return!1;for(var n=0;n0&&(a=1/Math.sqrt(a)),t[0]=e[0]*a,t[1]=e[1]*a,t[2]=e[2]*a,t},t.number=er,t.offscreenCanvasSupported=bt,t.ortho=function(t,e,r,n,i,a,o){var s=1/(e-r),l=1/(n-i),u=1/(a-o);return t[0]=-2*s,t[1]=0,t[2]=0,t[3]=0,t[4]=0,t[5]=-2*l,t[6]=0,t[7]=0,t[8]=0,t[9]=0,t[10]=2*u,t[11]=0,t[12]=(e+r)*s,t[13]=(i+n)*l,t[14]=(o+a)*u,t[15]=1,t},t.parseGlyphPBF=function(t){return new Ol(t).readFields(Ql,[])},t.pbf=Ol,t.performSymbolLayout=function(t,e,r,n,i,a,o){t.createArrays();var s=512*t.overscaling;t.tilePixelRatio=po/s,t.compareText={},t.iconsNeedLinear=!1;var l=t.layers[0].layout,u=t.layers[0]._unevaluatedLayout._values,c={};if("composite"===t.textSizeData.kind){var f=t.textSizeData,h=f.minZoom,p=f.maxZoom;c.compositeTextSizes=[u["text-size"].possiblyEvaluate(new Di(h),o),u["text-size"].possiblyEvaluate(new Di(p),o)]}if("composite"===t.iconSizeData.kind){var d=t.iconSizeData,v=d.minZoom,g=d.maxZoom;c.compositeIconSizes=[u["icon-size"].possiblyEvaluate(new Di(v),o),u["icon-size"].possiblyEvaluate(new Di(g),o)]}c.layoutTextSize=u["text-size"].possiblyEvaluate(new Di(t.zoom+1),o),c.layoutIconSize=u["icon-size"].possiblyEvaluate(new Di(t.zoom+1),o),c.textMaxSize=u["text-size"].possiblyEvaluate(new Di(18));for(var y=l.get("text-line-height")*Ll,m="map"===l.get("text-rotation-alignment")&&"point"!==l.get("symbol-placement"),x=l.get("text-keep-upright"),b=l.get("text-size"),_=function(){var a=T[w],s=l.get("text-font").evaluate(a,{},o).join(","),u=b.evaluate(a,{},o),f=c.layoutTextSize.evaluate(a,{},o),h=c.layoutIconSize.evaluate(a,{},o),p={horizontal:{},vertical:void 0},d=a.text,v=[0,0];if(d){var g=d.toString(),_=l.get("text-letter-spacing").evaluate(a,{},o)*Ll,A=function(t){for(var e=0,r=t;e=po||f.y<0||f.y>=po||function(t,e,r,n,i,a,o,s,l,u,c,f,h,p,d,v,g,y,m,x,b,_,w,T,A){var M,S,E,L,C,P=t.addToLineVertexArray(e,r),O=0,I=0,D=0,z=0,R=-1,F=-1,B={},N=ja(""),j=0,U=0;if(void 0===s._unevaluatedLayout.getValue("text-radial-offset")?(j=(M=s.layout.get("text-offset").evaluate(b,{},T).map((function(t){return t*Ll})))[0],U=M[1]):(j=s.layout.get("text-radial-offset").evaluate(b,{},T)*Ll,U=Ju),t.allowVerticalPlacement&&n.vertical){var V=s.layout.get("text-rotate").evaluate(b,{},T)+90,q=n.vertical;L=new Hu(l,e,u,c,f,q,h,p,d,V),o&&(C=new Hu(l,e,u,c,f,o,g,y,d,V))}if(i){var H=s.layout.get("icon-rotate").evaluate(b,{}),G="none"!==s.layout.get("icon-text-fit"),W=Nu(i,H,w,G),Y=o?Nu(o,H,w,G):void 0;E=new Hu(l,e,u,c,f,i,g,y,!1,H),O=4*W.length;var X=t.iconSizeData,Z=null;"source"===X.kind?(Z=[Au*s.layout.get("icon-size").evaluate(b,{})])[0]>ec&&k(t.layerIds[0]+': Value for "icon-size" is >= '+tc+'. Reduce your "icon-size".'):"composite"===X.kind&&((Z=[Au*_.compositeIconSizes[0].evaluate(b,{},T),Au*_.compositeIconSizes[1].evaluate(b,{},T)])[0]>ec||Z[1]>ec)&&k(t.layerIds[0]+': Value for "icon-size" is >= '+tc+'. Reduce your "icon-size".'),t.addSymbols(t.icon,W,Z,x,m,b,!1,e,P.lineStartIndex,P.lineLength,-1,T),R=t.icon.placedSymbolArray.length-1,Y&&(I=4*Y.length,t.addSymbols(t.icon,Y,Z,x,m,b,lu.vertical,e,P.lineStartIndex,P.lineLength,-1,T),F=t.icon.placedSymbolArray.length-1)}for(var K in n.horizontal){var J=n.horizontal[K];if(!S){N=ja(J.text);var $=s.layout.get("text-rotate").evaluate(b,{},T);S=new Hu(l,e,u,c,f,J,h,p,d,$)}var Q=1===J.positionedLines.length;if(D+=rc(t,e,J,a,s,d,b,v,P,n.vertical?lu.horizontal:lu.horizontalOnly,Q?Object.keys(n.horizontal):[K],B,R,_,T),Q)break}n.vertical&&(z+=rc(t,e,n.vertical,a,s,d,b,v,P,lu.vertical,["vertical"],B,F,_,T));var tt=S?S.boxStartIndex:t.collisionBoxArray.length,et=S?S.boxEndIndex:t.collisionBoxArray.length,rt=L?L.boxStartIndex:t.collisionBoxArray.length,nt=L?L.boxEndIndex:t.collisionBoxArray.length,it=E?E.boxStartIndex:t.collisionBoxArray.length,at=E?E.boxEndIndex:t.collisionBoxArray.length,ot=C?C.boxStartIndex:t.collisionBoxArray.length,st=C?C.boxEndIndex:t.collisionBoxArray.length,lt=-1,ut=function(t,e){return t&&t.circleDiameter?Math.max(t.circleDiameter,e):e};lt=ut(S,lt),lt=ut(L,lt),lt=ut(E,lt);var ct=(lt=ut(C,lt))>-1?1:0;ct&&(lt*=A/Ll),t.glyphOffsetArray.length>=hc.MAX_GLYPHS&&k("Too many glyphs being rendered in a tile. See https://github.com/mapbox/mapbox-gl-js/issues/2907"),void 0!==b.sortKey&&t.addToSortKeyRanges(t.symbolInstances.length,b.sortKey),t.symbolInstances.emplaceBack(e.x,e.y,B.right>=0?B.right:-1,B.center>=0?B.center:-1,B.left>=0?B.left:-1,B.vertical||-1,R,F,N,tt,et,rt,nt,it,at,ot,st,u,D,z,O,I,ct,0,h,j,U,lt)}(t,f,s,r,n,i,h,t.layers[0],t.collisionBoxArray,e.index,e.sourceLayerIndex,t.index,m,w,M,l,b,T,S,d,e,a,u,c,o)};if("line"===E)for(var O=0,I=Fu(e.geometry,0,0,po,po);O1){var U=Du(j,A,r.vertical||v,n,g,x);U&&P(j,U)}}else if("Polygon"===e.type)for(var V=0,q=Fs(e.geometry,0);V=E.maxzoom||"none"!==E.visibility&&(o(S,this.zoom,n),(v[E.id]=E.createBucket({index:c.bucketLayerIDs.length,layers:S,zoom:this.zoom,pixelRatio:this.pixelRatio,overscaling:this.overscaling,collisionBoxArray:this.collisionBoxArray,sourceLayerIndex:b,sourceID:this.source})).populate(_,g,this.tileID.canonical),c.bucketLayerIDs.push(S.map((function(t){return t.id}))))}}}var L=t.mapObject(g.glyphDependencies,(function(t){return Object.keys(t).map(Number)}));Object.keys(L).length?a.send("getGlyphs",{uid:this.uid,stacks:L},(function(t,e){f||(f=t,h=e,O.call(l))})):h={};var C=Object.keys(g.iconDependencies);C.length?a.send("getImages",{icons:C,source:this.source,tileID:this.tileID,type:"icons"},(function(t,e){f||(f=t,p=e,O.call(l))})):p={};var P=Object.keys(g.patternDependencies);function O(){if(f)return s(f);if(h&&p&&d){var e=new i(h),r=new t.ImageAtlas(p,d);for(var a in v){var l=v[a];l instanceof t.SymbolBucket?(o(l.layers,this.zoom,n),t.performSymbolLayout(l,h,e.positions,p,r.iconPositions,this.showCollisionBoxes,this.tileID.canonical)):l.hasPattern&&(l instanceof t.LineBucket||l instanceof t.FillBucket||l instanceof t.FillExtrusionBucket)&&(o(l.layers,this.zoom,n),l.addFeatures(g,this.tileID.canonical,r.patternPositions))}this.status="done",s(null,{buckets:t.values(v).filter((function(t){return!t.isEmpty()})),featureIndex:c,collisionBoxArray:this.collisionBoxArray,glyphAtlasImage:e.image,imageAtlas:r,glyphMap:this.returnDependencies?h:null,iconMap:this.returnDependencies?p:null,glyphPositions:this.returnDependencies?e.positions:null})}}P.length?a.send("getImages",{icons:P,source:this.source,tileID:this.tileID,type:"patterns"},(function(t,e){f||(f=t,d=e,O.call(l))})):d={},O.call(this)};var l=function(t,e,r,n){this.actor=t,this.layerIndex=e,this.availableImages=r,this.loadVectorData=n||s,this.loading={},this.loaded={}};l.prototype.loadTile=function(e,r){var n=this,i=e.uid;this.loading||(this.loading={});var o=!!(e&&e.request&&e.request.collectResourceTiming)&&new t.RequestPerformance(e.request),s=this.loading[i]=new a(e);s.abort=this.loadVectorData(e,(function(e,a){if(delete n.loading[i],e||!a)return s.status="done",n.loaded[i]=s,r(e);var l=a.rawData,u={};a.expires&&(u.expires=a.expires),a.cacheControl&&(u.cacheControl=a.cacheControl);var c={};if(o){var f=o.finish();f&&(c.resourceTiming=JSON.parse(JSON.stringify(f)))}s.vectorTile=a.vectorTile,s.parse(a.vectorTile,n.layerIndex,n.availableImages,n.actor,(function(e,n){if(e||!n)return r(e);r(null,t.extend({rawTileData:l.slice(0)},n,u,c))})),n.loaded=n.loaded||{},n.loaded[i]=s}))},l.prototype.reloadTile=function(t,e){var r=this,n=this.loaded,i=t.uid,a=this;if(n&&n[i]){var o=n[i];o.showCollisionBoxes=t.showCollisionBoxes;var s=function(t,n){var i=o.reloadCallback;i&&(delete o.reloadCallback,o.parse(o.vectorTile,a.layerIndex,r.availableImages,a.actor,i)),e(t,n)};"parsing"===o.status?o.reloadCallback=s:"done"===o.status&&(o.vectorTile?o.parse(o.vectorTile,this.layerIndex,this.availableImages,this.actor,s):s())}},l.prototype.abortTile=function(t,e){var r=this.loading,n=t.uid;r&&r[n]&&r[n].abort&&(r[n].abort(),delete r[n]),e()},l.prototype.removeTile=function(t,e){var r=this.loaded,n=t.uid;r&&r[n]&&delete r[n],e()};var u=t.window.ImageBitmap,c=function(){this.loaded={}};c.prototype.loadTile=function(e,r){var n=e.uid,i=e.encoding,a=e.rawImageData,o=u&&a instanceof u?this.getImageData(a):a,s=new t.DEMData(n,o,i);this.loaded=this.loaded||{},this.loaded[n]=s,r(null,s)},c.prototype.getImageData=function(e){this.offscreenCanvas&&this.offscreenCanvasContext||(this.offscreenCanvas=new OffscreenCanvas(e.width,e.height),this.offscreenCanvasContext=this.offscreenCanvas.getContext("2d")),this.offscreenCanvas.width=e.width,this.offscreenCanvas.height=e.height,this.offscreenCanvasContext.drawImage(e,0,0,e.width,e.height);var r=this.offscreenCanvasContext.getImageData(-1,-1,e.width+2,e.height+2);return this.offscreenCanvasContext.clearRect(0,0,this.offscreenCanvas.width,this.offscreenCanvas.height),new t.RGBAImage({width:r.width,height:r.height},r.data)},c.prototype.removeTile=function(t){var e=this.loaded,r=t.uid;e&&e[r]&&delete e[r]};var f=function t(e,r){var n,i=e&&e.type;if("FeatureCollection"===i)for(n=0;n=0!=!!e&&t.reverse()}var d=t.vectorTile.VectorTileFeature.prototype.toGeoJSON,v=function(e){this._feature=e,this.extent=t.EXTENT,this.type=e.type,this.properties=e.tags,"id"in e&&!isNaN(e.id)&&(this.id=parseInt(e.id,10))};v.prototype.loadGeometry=function(){if(1===this._feature.type){for(var e=[],r=0,n=this._feature.geometry;r>31}function P(t,e){for(var r=t.loadGeometry(),n=t.type,i=0,a=0,o=r.length,s=0;s>1;D(t,e,o,n,i,a%2),I(t,e,r,n,o-1,a+1),I(t,e,r,o+1,i,a+1)}}function D(t,e,r,n,i,a){for(;i>n;){if(i-n>600){var o=i-n+1,s=r-n+1,l=Math.log(o),u=.5*Math.exp(2*l/3),c=.5*Math.sqrt(l*u*(o-u)/o)*(s-o/2<0?-1:1);D(t,e,r,Math.max(n,Math.floor(r-s*u/o+c)),Math.min(i,Math.floor(r+(o-s)*u/o+c)),a)}var f=e[2*r+a],h=n,p=i;for(z(t,e,n,r),e[2*i+a]>f&&z(t,e,n,i);hf;)p--}e[2*n+a]===f?z(t,e,n,p):z(t,e,++p,i),p<=r&&(n=p+1),r<=p&&(i=p-1)}}function z(t,e,r,n){R(t,r,n),R(e,2*r,2*n),R(e,2*r+1,2*n+1)}function R(t,e,r){var n=t[e];t[e]=t[r],t[r]=n}function F(t,e,r,n){var i=t-r,a=e-n;return i*i+a*a}_.fromVectorTileJs=w,_.fromGeojsonVt=T,_.GeoJSONWrapper=k;var B=function(t){return t[0]},N=function(t){return t[1]},j=function(t,e,r,n,i){void 0===e&&(e=B),void 0===r&&(r=N),void 0===n&&(n=64),void 0===i&&(i=Float64Array),this.nodeSize=n,this.points=t;for(var a=t.length<65536?Uint16Array:Uint32Array,o=this.ids=new a(t.length),s=this.coords=new i(2*t.length),l=0;l=r&&s<=i&&l>=n&&l<=a&&c.push(t[d]);else{var v=Math.floor((p+h)/2);s=e[2*v],l=e[2*v+1],s>=r&&s<=i&&l>=n&&l<=a&&c.push(t[v]);var g=(f+1)%2;(0===f?r<=s:n<=l)&&(u.push(p),u.push(v-1),u.push(g)),(0===f?i>=s:a>=l)&&(u.push(v+1),u.push(h),u.push(g))}}return c}(this.ids,this.coords,t,e,r,n,this.nodeSize)},j.prototype.within=function(t,e,r){return function(t,e,r,n,i,a){for(var o=[0,t.length-1,0],s=[],l=i*i;o.length;){var u=o.pop(),c=o.pop(),f=o.pop();if(c-f<=a)for(var h=f;h<=c;h++)F(e[2*h],e[2*h+1],r,n)<=l&&s.push(t[h]);else{var p=Math.floor((f+c)/2),d=e[2*p],v=e[2*p+1];F(d,v,r,n)<=l&&s.push(t[p]);var g=(u+1)%2;(0===u?r-i<=d:n-i<=v)&&(o.push(f),o.push(p-1),o.push(g)),(0===u?r+i>=d:n+i>=v)&&(o.push(p+1),o.push(c),o.push(g))}}return s}(this.ids,this.coords,t,e,r,this.nodeSize)};var U={minZoom:0,maxZoom:16,minPoints:2,radius:40,extent:512,nodeSize:64,log:!1,generateId:!1,reduce:null,map:function(t){return t}},V=function(t){this.options=Z(Object.create(U),t),this.trees=new Array(this.options.maxZoom+1)};function q(t,e,r,n,i){return{x:t,y:e,zoom:1/0,id:r,parentId:-1,numPoints:n,properties:i}}function H(t,e){var r=t.geometry.coordinates,n=r[0],i=r[1];return{x:Y(n),y:X(i),zoom:1/0,index:e,parentId:-1}}function G(t){return{type:"Feature",id:t.id,properties:W(t),geometry:{type:"Point",coordinates:[(n=t.x,360*(n-.5)),(e=t.y,r=(180-360*e)*Math.PI/180,360*Math.atan(Math.exp(r))/Math.PI-90)]}};var e,r,n}function W(t){var e=t.numPoints,r=e>=1e4?Math.round(e/1e3)+"k":e>=1e3?Math.round(e/100)/10+"k":e;return Z(Z({},t.properties),{cluster:!0,cluster_id:t.id,point_count:e,point_count_abbreviated:r})}function Y(t){return t/360+.5}function X(t){var e=Math.sin(t*Math.PI/180),r=.5-.25*Math.log((1+e)/(1-e))/Math.PI;return r<0?0:r>1?1:r}function Z(t,e){for(var r in e)t[r]=e[r];return t}function K(t){return t.x}function J(t){return t.y}function $(t,e,r,n){for(var i,a=n,o=r-e>>1,s=r-e,l=t[e],u=t[e+1],c=t[r],f=t[r+1],h=e+3;ha)i=h,a=p;else if(p===a){var d=Math.abs(h-o);dn&&(i-e>3&&$(t,e,i,n),t[i+2]=a,r-i>3&&$(t,i,r,n))}function Q(t,e,r,n,i,a){var o=i-r,s=a-n;if(0!==o||0!==s){var l=((t-r)*o+(e-n)*s)/(o*o+s*s);l>1?(r=i,n=a):l>0&&(r+=o*l,n+=s*l)}return(o=t-r)*o+(s=e-n)*s}function tt(t,e,r,n){var i={id:void 0===t?null:t,type:e,geometry:r,tags:n,minX:1/0,minY:1/0,maxX:-1/0,maxY:-1/0};return function(t){var e=t.geometry,r=t.type;if("Point"===r||"MultiPoint"===r||"LineString"===r)et(t,e);else if("Polygon"===r||"MultiLineString"===r)for(var n=0;n0&&(o+=n?(i*u-l*a)/2:Math.sqrt(Math.pow(l-i,2)+Math.pow(u-a,2))),i=l,a=u}var c=e.length-3;e[2]=1,$(e,0,c,r),e[c+2]=1,e.size=Math.abs(o),e.start=0,e.end=e.size}function at(t,e,r,n){for(var i=0;i1?1:r}function lt(t,e,r,n,i,a,o,s){if(n/=e,a>=(r/=e)&&o=n)return null;for(var l=[],u=0;u=r&&d=n)){var v=[];if("Point"===h||"MultiPoint"===h)ut(f,v,r,n,i);else if("LineString"===h)ct(f,v,r,n,i,!1,s.lineMetrics);else if("MultiLineString"===h)ht(f,v,r,n,i,!1);else if("Polygon"===h)ht(f,v,r,n,i,!0);else if("MultiPolygon"===h)for(var g=0;g=r&&o<=n&&(e.push(t[a]),e.push(t[a+1]),e.push(t[a+2]))}}function ct(t,e,r,n,i,a,o){for(var s,l,u=ft(t),c=0===i?dt:vt,f=t.start,h=0;hr&&(l=c(u,p,d,g,y,r),o&&(u.start=f+s*l)):m>n?x=r&&(l=c(u,p,d,g,y,r),b=!0),x>n&&m<=n&&(l=c(u,p,d,g,y,n),b=!0),!a&&b&&(o&&(u.end=f+s*l),e.push(u),u=ft(t)),o&&(f+=s)}var _=t.length-3;p=t[_],d=t[_+1],v=t[_+2],(m=0===i?p:d)>=r&&m<=n&&pt(u,p,d,v),_=u.length-3,a&&_>=3&&(u[_]!==u[0]||u[_+1]!==u[1])&&pt(u,u[0],u[1],u[2]),u.length&&e.push(u)}function ft(t){var e=[];return e.size=t.size,e.start=t.start,e.end=t.end,e}function ht(t,e,r,n,i,a){for(var o=0;oo.maxX&&(o.maxX=c),f>o.maxY&&(o.maxY=f)}return o}function _t(t,e,r,n){var i=e.geometry,a=e.type,o=[];if("Point"===a||"MultiPoint"===a)for(var s=0;s0&&e.size<(i?o:n))r.numPoints+=e.length/3;else{for(var s=[],l=0;lo)&&(r.numSimplified++,s.push(e[l]),s.push(e[l+1])),r.numPoints++;i&&function(t,e){for(var r=0,n=0,i=t.length,a=i-2;n0===e)for(n=0,i=t.length;n24)throw new Error("maxZoom should be in the 0-24 range");if(e.promoteId&&e.generateId)throw new Error("promoteId and generateId cannot be used together.");var n=function(t,e){var r=[];if("FeatureCollection"===t.type)for(var n=0;n=n;u--){var c=+Date.now();s=this._cluster(s,u),this.trees[u]=new j(s,K,J,a,Float32Array),r&&console.log("z%d: %d clusters in %dms",u,s.length,+Date.now()-c)}return r&&console.timeEnd("total time"),this},V.prototype.getClusters=function(t,e){var r=((t[0]+180)%360+360)%360-180,n=Math.max(-90,Math.min(90,t[1])),i=180===t[2]?180:((t[2]+180)%360+360)%360-180,a=Math.max(-90,Math.min(90,t[3]));if(t[2]-t[0]>=360)r=-180,i=180;else if(r>i){var o=this.getClusters([r,n,180,a],e),s=this.getClusters([-180,n,i,a],e);return o.concat(s)}for(var l=this.trees[this._limitZoom(e)],u=[],c=0,f=l.range(Y(r),X(a),Y(i),X(n));ce&&(d+=m.numPoints||1)}if(d>=s){for(var x=c.x*p,b=c.y*p,_=o&&p>1?this._map(c,!0):null,w=(u<<5)+(e+1)+this.points.length,T=0,k=h;T1)for(var E=0,L=h;E>5},V.prototype._getOriginZoom=function(t){return(t-this.points.length)%32},V.prototype._map=function(t,e){if(t.numPoints)return e?Z({},t.properties):t.properties;var r=this.points[t.index].properties,n=this.options.map(r);return e&&n===r?Z({},n):n},Tt.prototype.options={maxZoom:14,indexMaxZoom:5,indexMaxPoints:1e5,tolerance:3,extent:4096,buffer:64,lineMetrics:!1,promoteId:null,generateId:!1,debug:0},Tt.prototype.splitTile=function(t,e,r,n,i,a,o){for(var s=[t,e,r,n],l=this.options,u=l.debug;s.length;){n=s.pop(),r=s.pop(),e=s.pop(),t=s.pop();var c=1<1&&console.time("creation"),h=this.tiles[f]=bt(t,e,r,n,l),this.tileCoords.push({z:e,x:r,y:n}),u)){u>1&&(console.log("tile z%d-%d-%d (features: %d, points: %d, simplified: %d)",e,r,n,h.numFeatures,h.numPoints,h.numSimplified),console.timeEnd("creation"));var p="z"+e;this.stats[p]=(this.stats[p]||0)+1,this.total++}if(h.source=t,i){if(e===l.maxZoom||e===i)continue;var d=1<1&&console.time("clipping");var v,g,y,m,x,b,_=.5*l.buffer/l.extent,w=.5-_,T=.5+_,k=1+_;v=g=y=m=null,x=lt(t,c,r-_,r+T,0,h.minX,h.maxX,l),b=lt(t,c,r+w,r+k,0,h.minX,h.maxX,l),t=null,x&&(v=lt(x,c,n-_,n+T,1,h.minY,h.maxY,l),g=lt(x,c,n+w,n+k,1,h.minY,h.maxY,l),x=null),b&&(y=lt(b,c,n-_,n+T,1,h.minY,h.maxY,l),m=lt(b,c,n+w,n+k,1,h.minY,h.maxY,l),b=null),u>1&&console.timeEnd("clipping"),s.push(v||[],e+1,2*r,2*n),s.push(g||[],e+1,2*r,2*n+1),s.push(y||[],e+1,2*r+1,2*n),s.push(m||[],e+1,2*r+1,2*n+1)}}},Tt.prototype.getTile=function(t,e,r){var n=this.options,i=n.extent,a=n.debug;if(t<0||t>24)return null;var o=1<1&&console.log("drilling down to z%d-%d-%d",t,e,r);for(var l,u=t,c=e,f=r;!l&&u>0;)u--,c=Math.floor(c/2),f=Math.floor(f/2),l=this.tiles[kt(u,c,f)];return l&&l.source?(a>1&&console.log("found parent tile z%d-%d-%d",u,c,f),a>1&&console.time("drilling down"),this.splitTile(l.source,u,c,f,t,e,r),a>1&&console.timeEnd("drilling down"),this.tiles[s]?mt(this.tiles[s],i):null):null};var Mt=function(e){function r(t,r,n,i){e.call(this,t,r,n,At),i&&(this.loadGeoJSON=i)}return e&&(r.__proto__=e),r.prototype=Object.create(e&&e.prototype),r.prototype.constructor=r,r.prototype.loadData=function(t,e){this._pendingCallback&&this._pendingCallback(null,{abandoned:!0}),this._pendingCallback=e,this._pendingLoadDataParams=t,this._state&&"Idle"!==this._state?this._state="NeedsLoadData":(this._state="Coalescing",this._loadData())},r.prototype._loadData=function(){var e=this;if(this._pendingCallback&&this._pendingLoadDataParams){var r=this._pendingCallback,n=this._pendingLoadDataParams;delete this._pendingCallback,delete this._pendingLoadDataParams;var i=!!(n&&n.request&&n.request.collectResourceTiming)&&new t.RequestPerformance(n.request);this.loadGeoJSON(n,(function(a,o){if(a||!o)return r(a);if("object"!=typeof o)return r(new Error("Input data given to '"+n.source+"' is not a valid GeoJSON object."));f(o,!0);try{if(n.filter){var s=t.createExpression(n.filter,{type:"boolean","property-type":"data-driven",overridable:!1,transition:!1});if("error"===s.result)throw new Error(s.value.map((function(t){return t.key+": "+t.message})).join(", "));var l=o.features.filter((function(t){return s.value.evaluate({zoom:0},t)}));o={type:"FeatureCollection",features:l}}e._geoJSONIndex=n.cluster?new V(function(e){var r=e.superclusterOptions,n=e.clusterProperties;if(!n||!r)return r;for(var i={},a={},o={accumulated:null,zoom:0},s={properties:null},l=Object.keys(n),u=0,c=l;u=0?0:e.button},r.remove=function(t){t.parentNode&&t.parentNode.removeChild(t)};var h=function(e){function r(){e.call(this),this.images={},this.updatedImages={},this.callbackDispatchedThisFrame={},this.loaded=!1,this.requestors=[],this.patterns={},this.atlasImage=new t.RGBAImage({width:1,height:1}),this.dirty=!0}return e&&(r.__proto__=e),r.prototype=Object.create(e&&e.prototype),r.prototype.constructor=r,r.prototype.isLoaded=function(){return this.loaded},r.prototype.setLoaded=function(t){if(this.loaded!==t&&(this.loaded=t,t)){for(var e=0,r=this.requestors;e=0?1.2:1))}function y(t,e,r,n,i,a,o){for(var s=0;s65535)e(new Error("glyphs > 65535 not supported"));else if(a.ranges[s])e(null,{stack:r,id:i,glyph:o});else{var l=a.requests[s];l||(l=a.requests[s]=[],x.loadGlyphRange(r,s,n.url,n.requestManager,(function(t,e){if(e){for(var r in e)n._doesCharSupportLocalGlyph(+r)||(a.glyphs[+r]=e[+r]);a.ranges[s]=!0}for(var i=0,o=l;i1&&(l=t[++s]);var c=Math.abs(u-l.left),f=Math.abs(u-l.right),h=Math.min(c,f),p=void 0,d=i/r*(n+1);if(l.isDash){var v=n-Math.abs(d);p=Math.sqrt(h*h+v*v)}else p=n-Math.sqrt(h*h+d*d);this.data[o+u]=Math.max(0,Math.min(255,p+128))}},k.prototype.addRegularDash=function(t){for(var e=t.length-1;e>=0;--e){var r=t[e],n=t[e+1];r.zeroLength?t.splice(e,1):n&&n.isDash===r.isDash&&(n.left=r.left,t.splice(e,1))}var i=t[0],a=t[t.length-1];i.isDash===a.isDash&&(i.left=a.left-this.width,a.right=i.right+this.width);for(var o=this.width*this.nextRow,s=0,l=t[s],u=0;u1&&(l=t[++s]);var c=Math.abs(u-l.left),f=Math.abs(u-l.right),h=Math.min(c,f),p=l.isDash?h:-h;this.data[o+u]=Math.max(0,Math.min(255,p+128))}},k.prototype.addDash=function(e,r){var n=r?7:0,i=2*n+1;if(this.nextRow+i>this.height)return t.warnOnce("LineAtlas out of space"),null;for(var a=0,o=0;o=n&&e.x=i&&e.y0&&(l[new t.OverscaledTileID(e.overscaledZ,a,r.z,i,r.y-1).key]={backfilled:!1},l[new t.OverscaledTileID(e.overscaledZ,e.wrap,r.z,r.x,r.y-1).key]={backfilled:!1},l[new t.OverscaledTileID(e.overscaledZ,s,r.z,o,r.y-1).key]={backfilled:!1}),r.y+10&&(n.resourceTiming=e._resourceTiming,e._resourceTiming=[]),e.fire(new t.Event("data",n))}}))},r.prototype.onAdd=function(t){this.map=t,this.load()},r.prototype.setData=function(e){var r=this;return this._data=e,this.fire(new t.Event("dataloading",{dataType:"source"})),this._updateWorkerData((function(e){if(e)r.fire(new t.ErrorEvent(e));else{var n={dataType:"source",sourceDataType:"content"};r._collectResourceTiming&&r._resourceTiming&&r._resourceTiming.length>0&&(n.resourceTiming=r._resourceTiming,r._resourceTiming=[]),r.fire(new t.Event("data",n))}})),this},r.prototype.getClusterExpansionZoom=function(t,e){return this.actor.send("geojson.getClusterExpansionZoom",{clusterId:t,source:this.id},e),this},r.prototype.getClusterChildren=function(t,e){return this.actor.send("geojson.getClusterChildren",{clusterId:t,source:this.id},e),this},r.prototype.getClusterLeaves=function(t,e,r,n){return this.actor.send("geojson.getClusterLeaves",{source:this.id,clusterId:t,limit:e,offset:r},n),this},r.prototype._updateWorkerData=function(e){var r=this;this._loaded=!1;var n=t.extend({},this.workerOptions),i=this._data;"string"==typeof i?(n.request=this.map._requestManager.transformRequest(t.browser.resolveURL(i),t.ResourceType.Source),n.request.collectResourceTiming=this._collectResourceTiming):n.data=JSON.stringify(i),this.actor.send(this.type+".loadData",n,(function(t,i){r._removed||i&&i.abandoned||(r._loaded=!0,i&&i.resourceTiming&&i.resourceTiming[r.id]&&(r._resourceTiming=i.resourceTiming[r.id].slice(0)),r.actor.send(r.type+".coalesce",{source:n.source},null),e(t))}))},r.prototype.loaded=function(){return this._loaded},r.prototype.loadTile=function(e,r){var n=this,i=e.actor?"reloadTile":"loadTile";e.actor=this.actor;var a={type:this.type,uid:e.uid,tileID:e.tileID,zoom:e.tileID.overscaledZ,maxZoom:this.maxzoom,tileSize:this.tileSize,source:this.id,pixelRatio:t.browser.devicePixelRatio,showCollisionBoxes:this.map.showCollisionBoxes,promoteId:this.promoteId};e.request=this.actor.send(i,a,(function(t,a){return delete e.request,e.unloadVectorData(),e.aborted?r(null):t?r(t):(e.loadVectorData(a,n.map.painter,"reloadTile"===i),r(null))}))},r.prototype.abortTile=function(t){t.request&&(t.request.cancel(),delete t.request),t.aborted=!0},r.prototype.unloadTile=function(t){t.unloadVectorData(),this.actor.send("removeTile",{uid:t.uid,type:this.type,source:this.id})},r.prototype.onRemove=function(){this._removed=!0,this.actor.send("removeSource",{type:this.type,source:this.id})},r.prototype.serialize=function(){return t.extend({},this._options,{type:this.type,data:this._data})},r.prototype.hasTransition=function(){return!1},r}(t.Evented),O=t.createLayout([{name:"a_pos",type:"Int16",components:2},{name:"a_texture_pos",type:"Int16",components:2}]),I=function(e){function r(t,r,n,i){e.call(this),this.id=t,this.dispatcher=n,this.coordinates=r.coordinates,this.type="image",this.minzoom=0,this.maxzoom=22,this.tileSize=512,this.tiles={},this._loaded=!1,this.setEventedParent(i),this.options=r}return e&&(r.__proto__=e),r.prototype=Object.create(e&&e.prototype),r.prototype.constructor=r,r.prototype.load=function(e,r){var n=this;this._loaded=!1,this.fire(new t.Event("dataloading",{dataType:"source"})),this.url=this.options.url,t.getImage(this.map._requestManager.transformRequest(this.url,t.ResourceType.Image),(function(i,a){n._loaded=!0,i?n.fire(new t.ErrorEvent(i)):a&&(n.image=a,e&&(n.coordinates=e),r&&r(),n._finishLoading())}))},r.prototype.loaded=function(){return this._loaded},r.prototype.updateImage=function(t){var e=this;return this.image&&t.url?(this.options.url=t.url,this.load(t.coordinates,(function(){e.texture=null})),this):this},r.prototype._finishLoading=function(){this.map&&(this.setCoordinates(this.coordinates),this.fire(new t.Event("data",{dataType:"source",sourceDataType:"metadata"})))},r.prototype.onAdd=function(t){this.map=t,this.load()},r.prototype.setCoordinates=function(e){var r=this;this.coordinates=e;var n=e.map(t.MercatorCoordinate.fromLngLat);this.tileID=function(e){for(var r=1/0,n=1/0,i=-1/0,a=-1/0,o=0,s=e;or.end(0)?this.fire(new t.ErrorEvent(new t.ValidationError("sources."+this.id,null,"Playback for this video can be set only between the "+r.start(0)+" and "+r.end(0)+"-second mark."))):this.video.currentTime=e}},r.prototype.getVideo=function(){return this.video},r.prototype.onAdd=function(t){this.map||(this.map=t,this.load(),this.video&&(this.video.play(),this.setCoordinates(this.coordinates)))},r.prototype.prepare=function(){if(!(0===Object.keys(this.tiles).length||this.video.readyState<2)){var e=this.map.painter.context,r=e.gl;for(var n in this.boundsBuffer||(this.boundsBuffer=e.createVertexBuffer(this._boundsArray,O.members)),this.boundsSegments||(this.boundsSegments=t.SegmentVector.simpleSegment(0,0,4,2)),this.texture?this.video.paused||(this.texture.bind(r.LINEAR,r.CLAMP_TO_EDGE),r.texSubImage2D(r.TEXTURE_2D,0,0,0,r.RGBA,r.UNSIGNED_BYTE,this.video)):(this.texture=new t.Texture(e,this.video,r.RGBA),this.texture.bind(r.LINEAR,r.CLAMP_TO_EDGE)),this.tiles){var i=this.tiles[n];"loaded"!==i.state&&(i.state="loaded",i.texture=this.texture)}}},r.prototype.serialize=function(){return{type:"video",urls:this.urls,coordinates:this.coordinates}},r.prototype.hasTransition=function(){return this.video&&!this.video.paused},r}(I),z=function(e){function r(r,n,i,a){e.call(this,r,n,i,a),n.coordinates?Array.isArray(n.coordinates)&&4===n.coordinates.length&&!n.coordinates.some((function(t){return!Array.isArray(t)||2!==t.length||t.some((function(t){return"number"!=typeof t}))}))||this.fire(new t.ErrorEvent(new t.ValidationError("sources."+r,null,'"coordinates" property must be an array of 4 longitude/latitude array pairs'))):this.fire(new t.ErrorEvent(new t.ValidationError("sources."+r,null,'missing required property "coordinates"'))),n.animate&&"boolean"!=typeof n.animate&&this.fire(new t.ErrorEvent(new t.ValidationError("sources."+r,null,'optional "animate" property must be a boolean value'))),n.canvas?"string"==typeof n.canvas||n.canvas instanceof t.window.HTMLCanvasElement||this.fire(new t.ErrorEvent(new t.ValidationError("sources."+r,null,'"canvas" must be either a string representing the ID of the canvas element from which to read, or an HTMLCanvasElement instance'))):this.fire(new t.ErrorEvent(new t.ValidationError("sources."+r,null,'missing required property "canvas"'))),this.options=n,this.animate=void 0===n.animate||n.animate}return e&&(r.__proto__=e),r.prototype=Object.create(e&&e.prototype),r.prototype.constructor=r,r.prototype.load=function(){this._loaded=!0,this.canvas||(this.canvas=this.options.canvas instanceof t.window.HTMLCanvasElement?this.options.canvas:t.window.document.getElementById(this.options.canvas)),this.width=this.canvas.width,this.height=this.canvas.height,this._hasInvalidDimensions()?this.fire(new t.ErrorEvent(new Error("Canvas dimensions cannot be less than or equal to zero."))):(this.play=function(){this._playing=!0,this.map.triggerRepaint()},this.pause=function(){this._playing&&(this.prepare(),this._playing=!1)},this._finishLoading())},r.prototype.getCanvas=function(){return this.canvas},r.prototype.onAdd=function(t){this.map=t,this.load(),this.canvas&&this.animate&&this.play()},r.prototype.onRemove=function(){this.pause()},r.prototype.prepare=function(){var e=!1;if(this.canvas.width!==this.width&&(this.width=this.canvas.width,e=!0),this.canvas.height!==this.height&&(this.height=this.canvas.height,e=!0),!this._hasInvalidDimensions()&&0!==Object.keys(this.tiles).length){var r=this.map.painter.context,n=r.gl;for(var i in this.boundsBuffer||(this.boundsBuffer=r.createVertexBuffer(this._boundsArray,O.members)),this.boundsSegments||(this.boundsSegments=t.SegmentVector.simpleSegment(0,0,4,2)),this.texture?(e||this._playing)&&this.texture.update(this.canvas,{premultiply:!0}):this.texture=new t.Texture(r,this.canvas,n.RGBA,{premultiply:!0}),this.tiles){var a=this.tiles[i];"loaded"!==a.state&&(a.state="loaded",a.texture=this.texture)}}},r.prototype.serialize=function(){return{type:"canvas",coordinates:this.coordinates}},r.prototype.hasTransition=function(){return this._playing},r.prototype._hasInvalidDimensions=function(){for(var t=0,e=[this.canvas.width,this.canvas.height];tthis.max){var o=this._getAndRemoveByKey(this.order[0]);o&&this.onRemove(o)}return this},j.prototype.has=function(t){return t.wrapped().key in this.data},j.prototype.getAndRemove=function(t){return this.has(t)?this._getAndRemoveByKey(t.wrapped().key):null},j.prototype._getAndRemoveByKey=function(t){var e=this.data[t].shift();return e.timeout&&clearTimeout(e.timeout),0===this.data[t].length&&delete this.data[t],this.order.splice(this.order.indexOf(t),1),e.value},j.prototype.getByKey=function(t){var e=this.data[t];return e?e[0].value:null},j.prototype.get=function(t){return this.has(t)?this.data[t.wrapped().key][0].value:null},j.prototype.remove=function(t,e){if(!this.has(t))return this;var r=t.wrapped().key,n=void 0===e?0:this.data[r].indexOf(e),i=this.data[r][n];return this.data[r].splice(n,1),i.timeout&&clearTimeout(i.timeout),0===this.data[r].length&&delete this.data[r],this.onRemove(i.value),this.order.splice(this.order.indexOf(r),1),this},j.prototype.setMaxSize=function(t){for(this.max=t;this.order.length>this.max;){var e=this._getAndRemoveByKey(this.order[0]);e&&this.onRemove(e)}return this},j.prototype.filter=function(t){var e=[];for(var r in this.data)for(var n=0,i=this.data[r];n1||(Math.abs(r)>1&&(1===Math.abs(r+i)?r+=i:1===Math.abs(r-i)&&(r-=i)),e.dem&&t.dem&&(t.dem.backfillBorder(e.dem,r,n),t.neighboringTiles&&t.neighboringTiles[a]&&(t.neighboringTiles[a].backfilled=!0)))}},r.prototype.getTile=function(t){return this.getTileByID(t.key)},r.prototype.getTileByID=function(t){return this._tiles[t]},r.prototype._retainLoadedChildren=function(t,e,r,n){for(var i in this._tiles){var a=this._tiles[i];if(!(n[i]||!a.hasData()||a.tileID.overscaledZ<=e||a.tileID.overscaledZ>r)){for(var o=a.tileID;a&&a.tileID.overscaledZ>e+1;){var s=a.tileID.scaledTo(a.tileID.overscaledZ-1);(a=this._tiles[s.key])&&a.hasData()&&(o=s)}for(var l=o;l.overscaledZ>e;)if(t[(l=l.scaledTo(l.overscaledZ-1)).key]){n[o.key]=o;break}}}},r.prototype.findLoadedParent=function(t,e){if(t.key in this._loadedParentTiles){var r=this._loadedParentTiles[t.key];return r&&r.tileID.overscaledZ>=e?r:null}for(var n=t.overscaledZ-1;n>=e;n--){var i=t.scaledTo(n),a=this._getLoadedTile(i);if(a)return a}},r.prototype._getLoadedTile=function(t){var e=this._tiles[t.key];return e&&e.hasData()?e:this._cache.getByKey(t.wrapped().key)},r.prototype.updateCacheSize=function(t){var e=(Math.ceil(t.width/this._source.tileSize)+1)*(Math.ceil(t.height/this._source.tileSize)+1),r=Math.floor(5*e),n="number"==typeof this._maxTileCacheSize?Math.min(this._maxTileCacheSize,r):r;this._cache.setMaxSize(n)},r.prototype.handleWrapJump=function(t){var e=(t-(void 0===this._prevLng?t:this._prevLng))/360,r=Math.round(e);if(this._prevLng=t,r){var n={};for(var i in this._tiles){var a=this._tiles[i];a.tileID=a.tileID.unwrapTo(a.tileID.wrap+r),n[a.tileID.key]=a}for(var o in this._tiles=n,this._timers)clearTimeout(this._timers[o]),delete this._timers[o];for(var s in this._tiles){var l=this._tiles[s];this._setTileReloadTimer(s,l)}}},r.prototype.update=function(e){var n=this;if(this.transform=e,this._sourceLoaded&&!this._paused){var i;this.updateCacheSize(e),this.handleWrapJump(this.transform.center.lng),this._coveredTiles={},this.used?this._source.tileID?i=e.getVisibleUnwrappedCoordinates(this._source.tileID).map((function(e){return new t.OverscaledTileID(e.canonical.z,e.wrap,e.canonical.z,e.canonical.x,e.canonical.y)})):(i=e.coveringTiles({tileSize:this._source.tileSize,minzoom:this._source.minzoom,maxzoom:this._source.maxzoom,roundZoom:this._source.roundZoom,reparseOverscaled:this._source.reparseOverscaled}),this._source.hasTile&&(i=i.filter((function(t){return n._source.hasTile(t)})))):i=[];var a=e.coveringZoomLevel(this._source),o=Math.max(a-r.maxOverzooming,this._source.minzoom),s=Math.max(a+r.maxUnderzooming,this._source.minzoom),l=this._updateRetainedTiles(i,a);if(Dt(this._source.type)){for(var u={},c={},f=0,h=Object.keys(l);fthis._source.maxzoom){var g=d.children(this._source.maxzoom)[0],y=this.getTile(g);if(y&&y.hasData()){n[g.key]=g;continue}}else{var m=d.children(this._source.maxzoom);if(n[m[0].key]&&n[m[1].key]&&n[m[2].key]&&n[m[3].key])continue}for(var x=v.wasRequested(),b=d.overscaledZ-1;b>=a;--b){var _=d.scaledTo(b);if(i[_.key])break;if(i[_.key]=!0,!(v=this.getTile(_))&&x&&(v=this._addTile(_)),v&&(n[_.key]=_,x=v.wasRequested(),v.hasData()))break}}}return n},r.prototype._updateLoadedParentTileCache=function(){for(var t in this._loadedParentTiles={},this._tiles){for(var e=[],r=void 0,n=this._tiles[t].tileID;n.overscaledZ>0;){if(n.key in this._loadedParentTiles){r=this._loadedParentTiles[n.key];break}e.push(n.key);var i=n.scaledTo(n.overscaledZ-1);if(r=this._getLoadedTile(i))break;n=i}for(var a=0,o=e;a0||(e.hasData()&&"reloading"!==e.state?this._cache.add(e.tileID,e,e.getExpiryTimeout()):(e.aborted=!0,this._abortTile(e),this._unloadTile(e))))},r.prototype.clearTiles=function(){for(var t in this._shouldReloadOnResume=!1,this._paused=!1,this._tiles)this._removeTile(t);this._cache.reset()},r.prototype.tilesIn=function(e,r,n){var i=this,a=[],o=this.transform;if(!o)return a;for(var s=n?o.getCameraQueryGeometry(e):e,l=e.map((function(t){return o.pointCoordinate(t)})),u=s.map((function(t){return o.pointCoordinate(t)})),c=this.getIds(),f=1/0,h=1/0,p=-1/0,d=-1/0,v=0,g=u;v=0&&y[1].y+g>=0){var m=l.map((function(t){return s.getTilePoint(t)})),x=u.map((function(t){return s.getTilePoint(t)}));a.push({tile:n,tileID:s,queryGeometry:m,cameraQueryGeometry:x,scale:v})}}},x=0;x=t.browser.now())return!0}return!1},r.prototype.setFeatureState=function(t,e,r){t=t||"_geojsonTileLayer",this._state.updateState(t,e,r)},r.prototype.removeFeatureState=function(t,e,r){t=t||"_geojsonTileLayer",this._state.removeFeatureState(t,e,r)},r.prototype.getFeatureState=function(t,e){return t=t||"_geojsonTileLayer",this._state.getState(t,e)},r.prototype.setDependencies=function(t,e,r){var n=this._tiles[t];n&&n.setDependencies(e,r)},r.prototype.reloadTilesForDependencies=function(t,e){for(var r in this._tiles)this._tiles[r].hasDependency(t,e)&&this._reloadTile(r,"reloading");this._cache.filter((function(r){return!r.hasDependency(t,e)}))},r}(t.Evented);function It(t,e){var r=Math.abs(2*t.wrap)-+(t.wrap<0),n=Math.abs(2*e.wrap)-+(e.wrap<0);return t.overscaledZ-e.overscaledZ||n-r||e.canonical.y-t.canonical.y||e.canonical.x-t.canonical.x}function Dt(t){return"raster"===t||"image"===t||"video"===t}function zt(){return new t.window.Worker(oa.workerUrl)}Ot.maxOverzooming=10,Ot.maxUnderzooming=3;var Rt="mapboxgl_preloaded_worker_pool",Ft=function(){this.active={}};Ft.prototype.acquire=function(t){if(!this.workers)for(this.workers=[];this.workers.length0?(i-o)/s:0;return this.points[a].mult(1-l).add(this.points[r].mult(l))};var Qt=function(t,e,r){var n=this.boxCells=[],i=this.circleCells=[];this.xCellCount=Math.ceil(t/r),this.yCellCount=Math.ceil(e/r);for(var a=0;a=-e[0]&&r<=e[0]&&n>=-e[1]&&n<=e[1]}function ae(e,r,n,i,a,o,s,l){var u=i?e.textSizeData:e.iconSizeData,c=t.evaluateSizeForZoom(u,n.transform.zoom),f=[256/n.width*2+1,256/n.height*2+1],h=i?e.text.dynamicLayoutVertexArray:e.icon.dynamicLayoutVertexArray;h.clear();for(var p=e.lineVertexArray,d=i?e.text.placedSymbolArray:e.icon.placedSymbolArray,v=n.transform.width/n.transform.height,g=!1,y=0;yMath.abs(n.x-r.x)*i?{useVertical:!0}:(e===t.WritingMode.vertical?r.yn.x)?{needsFlipping:!0}:null}function le(e,r,n,i,a,o,s,l,u,c,f,h,p,d){var v,g=r/24,y=e.lineOffsetX*g,m=e.lineOffsetY*g;if(e.numGlyphs>1){var x=e.glyphStartIndex+e.numGlyphs,b=e.lineStartIndex,_=e.lineStartIndex+e.lineLength,w=oe(g,l,y,m,n,f,h,e,u,o,p);if(!w)return{notEnoughRoom:!0};var T=re(w.first.point,s).point,k=re(w.last.point,s).point;if(i&&!n){var A=se(e.writingMode,T,k,d);if(A)return A}v=[w.first];for(var M=e.glyphStartIndex+1;M0?C.point:ue(h,L,S,1,a),O=se(e.writingMode,S,P,d);if(O)return O}var I=ce(g*l.getoffsetX(e.glyphStartIndex),y,m,n,f,h,e.segment,e.lineStartIndex,e.lineStartIndex+e.lineLength,u,o,p);if(!I)return{notEnoughRoom:!0};v=[I]}for(var D=0,z=v;D0?1:-1,v=0;i&&(d*=-1,v=Math.PI),d<0&&(v+=Math.PI);for(var g=d>0?l+s:l+s+1,y=a,m=a,x=0,b=0,_=Math.abs(p),w=[];x+b<=_;){if((g+=d)=u)return null;if(m=y,w.push(y),void 0===(y=h[g])){var T=new t.Point(c.getx(g),c.gety(g)),k=re(T,f);if(k.signedDistanceFromCamera>0)y=h[g]=k.point;else{var A=g-d;y=ue(0===x?o:new t.Point(c.getx(A),c.gety(A)),T,m,_-x+1,f)}}x+=b,b=m.dist(y)}var M=(_-x)/b,S=y.sub(m),E=S.mult(M)._add(m);E._add(S._unit()._perp()._mult(n*d));var L=v+Math.atan2(y.y-m.y,y.x-m.x);return w.push(E),{point:E,angle:L,path:w}}Qt.prototype.keysLength=function(){return this.boxKeys.length+this.circleKeys.length},Qt.prototype.insert=function(t,e,r,n,i){this._forEachCell(e,r,n,i,this._insertBoxCell,this.boxUid++),this.boxKeys.push(t),this.bboxes.push(e),this.bboxes.push(r),this.bboxes.push(n),this.bboxes.push(i)},Qt.prototype.insertCircle=function(t,e,r,n){this._forEachCell(e-n,r-n,e+n,r+n,this._insertCircleCell,this.circleUid++),this.circleKeys.push(t),this.circles.push(e),this.circles.push(r),this.circles.push(n)},Qt.prototype._insertBoxCell=function(t,e,r,n,i,a){this.boxCells[i].push(a)},Qt.prototype._insertCircleCell=function(t,e,r,n,i,a){this.circleCells[i].push(a)},Qt.prototype._query=function(t,e,r,n,i,a){if(r<0||t>this.width||n<0||e>this.height)return!i&&[];var o=[];if(t<=0&&e<=0&&this.width<=r&&this.height<=n){if(i)return!0;for(var s=0;s0:o},Qt.prototype._queryCircle=function(t,e,r,n,i){var a=t-r,o=t+r,s=e-r,l=e+r;if(o<0||a>this.width||l<0||s>this.height)return!n&&[];var u=[],c={hitTest:n,circle:{x:t,y:e,radius:r},seenUids:{box:{},circle:{}}};return this._forEachCell(a,s,o,l,this._queryCellCircle,u,c,i),n?u.length>0:u},Qt.prototype.query=function(t,e,r,n,i){return this._query(t,e,r,n,!1,i)},Qt.prototype.hitTest=function(t,e,r,n,i){return this._query(t,e,r,n,!0,i)},Qt.prototype.hitTestCircle=function(t,e,r,n){return this._queryCircle(t,e,r,!0,n)},Qt.prototype._queryCell=function(t,e,r,n,i,a,o,s){var l=o.seenUids,u=this.boxCells[i];if(null!==u)for(var c=this.bboxes,f=0,h=u;f=c[d+0]&&n>=c[d+1]&&(!s||s(this.boxKeys[p]))){if(o.hitTest)return a.push(!0),!0;a.push({key:this.boxKeys[p],x1:c[d],y1:c[d+1],x2:c[d+2],y2:c[d+3]})}}}var v=this.circleCells[i];if(null!==v)for(var g=this.circles,y=0,m=v;yo*o+s*s},Qt.prototype._circleAndRectCollide=function(t,e,r,n,i,a,o){var s=(a-n)/2,l=Math.abs(t-(n+s));if(l>s+r)return!1;var u=(o-i)/2,c=Math.abs(e-(i+u));if(c>u+r)return!1;if(l<=s||c<=u)return!0;var f=l-s,h=c-u;return f*f+h*h<=r*r};var fe=new Float32Array([-1/0,-1/0,0,-1/0,-1/0,0,-1/0,-1/0,0,-1/0,-1/0,0]);function he(t,e){for(var r=0;r=1;P--)C.push(E.path[P]);for(var O=1;O0){for(var R=C[0].clone(),F=C[0].clone(),B=1;B=A.x&&F.x<=M.x&&R.y>=A.y&&F.y<=M.y?[C]:F.xM.x||F.yM.y?[]:t.clipLine([C],A.x,A.y,M.x,M.y)}for(var N=0,j=z;N=this.screenRightBoundary||nthis.screenBottomBoundary},ve.prototype.isInsideGrid=function(t,e,r,n){return r>=0&&t=0&&e0?(this.prevPlacement&&this.prevPlacement.variableOffsets[f.crossTileID]&&this.prevPlacement.placements[f.crossTileID]&&this.prevPlacement.placements[f.crossTileID].text&&(v=this.prevPlacement.variableOffsets[f.crossTileID].anchor),this.variableOffsets[f.crossTileID]={textOffset:g,width:r,height:n,anchor:t,textBoxScale:i,prevAnchor:v},this.markUsedJustification(h,t,f,p),h.allowVerticalPlacement&&(this.markUsedOrientation(h,p,f),this.placedOrientations[f.crossTileID]=p),{shift:y,placedGlyphBoxes:m}):void 0},Ae.prototype.placeLayerBucketPart=function(e,r,n){var i=this,a=e.parameters,o=a.bucket,s=a.layout,l=a.posMatrix,u=a.textLabelPlaneMatrix,c=a.labelToScreenMatrix,f=a.textPixelRatio,h=a.holdingForFade,p=a.collisionBoxArray,d=a.partiallyEvaluatedTextSize,v=a.collisionGroup,g=s.get("text-optional"),y=s.get("icon-optional"),m=s.get("text-allow-overlap"),x=s.get("icon-allow-overlap"),b="map"===s.get("text-rotation-alignment"),_="map"===s.get("text-pitch-alignment"),w="none"!==s.get("icon-text-fit"),T="viewport-y"===s.get("symbol-z-order"),k=m&&(x||!o.hasIconData()||y),A=x&&(m||!o.hasTextData()||g);!o.collisionArrays&&p&&o.deserializeCollisionBoxes(p);var M=function(e,a){if(!r[e.crossTileID])if(h)i.placements[e.crossTileID]=new xe(!1,!1,!1);else{var p,T=!1,M=!1,S=!0,E=null,L={box:null,offscreen:null},C={box:null,offscreen:null},P=null,O=null,I=0,D=0,z=0;a.textFeatureIndex?I=a.textFeatureIndex:e.useRuntimeCollisionCircles&&(I=e.featureIndex),a.verticalTextFeatureIndex&&(D=a.verticalTextFeatureIndex);var R=a.textBox;if(R){var F=function(r){var n=t.WritingMode.horizontal;if(o.allowVerticalPlacement&&!r&&i.prevPlacement){var a=i.prevPlacement.placedOrientations[e.crossTileID];a&&(i.placedOrientations[e.crossTileID]=a,n=a,i.markUsedOrientation(o,n,e))}return n},B=function(r,n){if(o.allowVerticalPlacement&&e.numVerticalGlyphVertices>0&&a.verticalTextBox)for(var i=0,s=o.writingModes;i0&&(N=N.filter((function(t){return t!==j.anchor}))).unshift(j.anchor)}var U=function(t,r,n){for(var a=t.x2-t.x1,s=t.y2-t.y1,u=e.textBoxScale,c=w&&!x?r:null,h={box:[],offscreen:!1},p=m?2*N.length:N.length,d=0;d=N.length,k=i.attemptAnchorPlacement(g,t,a,s,u,b,_,f,l,v,y,e,o,n,c);if(k&&(h=k.placedGlyphBoxes)&&h.box&&h.box.length){T=!0,E=k.shift;break}}return h};B((function(){return U(R,a.iconBox,t.WritingMode.horizontal)}),(function(){var r=a.verticalTextBox,n=L&&L.box&&L.box.length;return o.allowVerticalPlacement&&!n&&e.numVerticalGlyphVertices>0&&r?U(r,a.verticalIconBox,t.WritingMode.vertical):{box:null,offscreen:null}})),L&&(T=L.box,S=L.offscreen);var V=F(L&&L.box);if(!T&&i.prevPlacement){var q=i.prevPlacement.variableOffsets[e.crossTileID];q&&(i.variableOffsets[e.crossTileID]=q,i.markUsedJustification(o,q.anchor,e,V))}}else{var H=function(t,r){var n=i.collisionIndex.placeCollisionBox(t,m,f,l,v.predicate);return n&&n.box&&n.box.length&&(i.markUsedOrientation(o,r,e),i.placedOrientations[e.crossTileID]=r),n};B((function(){return H(R,t.WritingMode.horizontal)}),(function(){var r=a.verticalTextBox;return o.allowVerticalPlacement&&e.numVerticalGlyphVertices>0&&r?H(r,t.WritingMode.vertical):{box:null,offscreen:null}})),F(L&&L.box&&L.box.length)}}if(T=(p=L)&&p.box&&p.box.length>0,S=p&&p.offscreen,e.useRuntimeCollisionCircles){var G=o.text.placedSymbolArray.get(e.centerJustifiedTextSymbolIndex),W=t.evaluateSizeForFeature(o.textSizeData,d,G),Y=s.get("text-padding"),X=e.collisionCircleDiameter;P=i.collisionIndex.placeCollisionCircles(m,G,o.lineVertexArray,o.glyphOffsetArray,W,l,u,c,n,_,v.predicate,X,Y),T=m||P.circles.length>0&&!P.collisionDetected,S=S&&P.offscreen}if(a.iconFeatureIndex&&(z=a.iconFeatureIndex),a.iconBox){var Z=function(t){var e=w&&E?ke(t,E.x,E.y,b,_,i.transform.angle):t;return i.collisionIndex.placeCollisionBox(e,x,f,l,v.predicate)};M=C&&C.box&&C.box.length&&a.verticalIconBox?(O=Z(a.verticalIconBox)).box.length>0:(O=Z(a.iconBox)).box.length>0,S=S&&O.offscreen}var K=g||0===e.numHorizontalGlyphVertices&&0===e.numVerticalGlyphVertices,J=y||0===e.numIconVertices;if(K||J?J?K||(M=M&&T):T=M&&T:M=T=M&&T,T&&p&&p.box&&(C&&C.box&&D?i.collisionIndex.insertCollisionBox(p.box,s.get("text-ignore-placement"),o.bucketInstanceId,D,v.ID):i.collisionIndex.insertCollisionBox(p.box,s.get("text-ignore-placement"),o.bucketInstanceId,I,v.ID)),M&&O&&i.collisionIndex.insertCollisionBox(O.box,s.get("icon-ignore-placement"),o.bucketInstanceId,z,v.ID),P&&(T&&i.collisionIndex.insertCollisionCircles(P.circles,s.get("text-ignore-placement"),o.bucketInstanceId,I,v.ID),n)){var $=o.bucketInstanceId,Q=i.collisionCircleArrays[$];void 0===Q&&(Q=i.collisionCircleArrays[$]=new be);for(var tt=0;tt=0;--E){var L=S[E];M(o.symbolInstances.get(L),o.collisionArrays[L])}else for(var C=e.symbolInstanceStart;C=0&&(e.text.placedSymbolArray.get(u).crossTileID=a>=0&&u!==a?0:n.crossTileID)}},Ae.prototype.markUsedOrientation=function(e,r,n){for(var i=r===t.WritingMode.horizontal||r===t.WritingMode.horizontalOnly?r:0,a=r===t.WritingMode.vertical?r:0,o=0,s=[n.leftJustifiedTextSymbolIndex,n.centerJustifiedTextSymbolIndex,n.rightJustifiedTextSymbolIndex];o0||l>0,x=a.numIconVertices>0,b=i.placedOrientations[a.crossTileID],_=b===t.WritingMode.vertical,w=b===t.WritingMode.horizontal||b===t.WritingMode.horizontalOnly;if(m){var T=De(y.text),k=_?ze:T;d(e.text,s,k);var A=w?ze:T;d(e.text,l,A);var M=y.text.isHidden();[a.rightJustifiedTextSymbolIndex,a.centerJustifiedTextSymbolIndex,a.leftJustifiedTextSymbolIndex].forEach((function(t){t>=0&&(e.text.placedSymbolArray.get(t).hidden=M||_?1:0)})),a.verticalPlacedTextSymbolIndex>=0&&(e.text.placedSymbolArray.get(a.verticalPlacedTextSymbolIndex).hidden=M||w?1:0);var S=i.variableOffsets[a.crossTileID];S&&i.markUsedJustification(e,S.anchor,a,b);var E=i.placedOrientations[a.crossTileID];E&&(i.markUsedJustification(e,"left",a,E),i.markUsedOrientation(e,E,a))}if(x){var L=De(y.icon),C=!(h&&a.verticalPlacedIconSymbolIndex&&_);if(a.placedIconSymbolIndex>=0){var P=C?L:ze;d(e.icon,a.numIconVertices,P),e.icon.placedSymbolArray.get(a.placedIconSymbolIndex).hidden=y.icon.isHidden()}if(a.verticalPlacedIconSymbolIndex>=0){var O=C?ze:L;d(e.icon,a.numVerticalIconVertices,O),e.icon.placedSymbolArray.get(a.verticalPlacedIconSymbolIndex).hidden=y.icon.isHidden()}}if(e.hasIconCollisionBoxData()||e.hasTextCollisionBoxData()){var I=e.collisionArrays[n];if(I){var D=new t.Point(0,0);if(I.textBox||I.verticalTextBox){var z=!0;if(u){var R=i.variableOffsets[v];R?(D=Te(R.anchor,R.width,R.height,R.textOffset,R.textBoxScale),c&&D._rotate(f?i.transform.angle:-i.transform.angle)):z=!1}I.textBox&&Me(e.textCollisionBox.collisionVertexArray,y.text.placed,!z||_,D.x,D.y),I.verticalTextBox&&Me(e.textCollisionBox.collisionVertexArray,y.text.placed,!z||w,D.x,D.y)}var F=Boolean(!w&&I.verticalIconBox);I.iconBox&&Me(e.iconCollisionBox.collisionVertexArray,y.icon.placed,F,h?D.x:0,h?D.y:0),I.verticalIconBox&&Me(e.iconCollisionBox.collisionVertexArray,y.icon.placed,!F,h?D.x:0,h?D.y:0)}}},g=0;gt},Ae.prototype.setStale=function(){this.stale=!0};var Se=Math.pow(2,25),Ee=Math.pow(2,24),Le=Math.pow(2,17),Ce=Math.pow(2,16),Pe=Math.pow(2,9),Oe=Math.pow(2,8),Ie=Math.pow(2,1);function De(t){if(0===t.opacity&&!t.placed)return 0;if(1===t.opacity&&t.placed)return 4294967295;var e=t.placed?1:0,r=Math.floor(127*t.opacity);return r*Se+e*Ee+r*Le+e*Ce+r*Pe+e*Oe+r*Ie+e}var ze=0,Re=function(t){this._sortAcrossTiles="viewport-y"!==t.layout.get("symbol-z-order")&&void 0!==t.layout.get("symbol-sort-key").constantOr(1),this._currentTileIndex=0,this._currentPartIndex=0,this._seenCrossTileIDs={},this._bucketParts=[]};Re.prototype.continuePlacement=function(t,e,r,n,i){for(var a=this._bucketParts;this._currentTileIndex2};this._currentPlacementIndex>=0;){var s=r[e[this._currentPlacementIndex]],l=this.placement.collisionIndex.transform.zoom;if("symbol"===s.type&&(!s.minzoom||s.minzoom<=l)&&(!s.maxzoom||s.maxzoom>l)){if(this._inProgressLayer||(this._inProgressLayer=new Re(s)),this._inProgressLayer.continuePlacement(n[s.source],this.placement,this._showCollisionBoxes,s,o))return;delete this._inProgressLayer}this._currentPlacementIndex--}this._done=!0},Fe.prototype.commit=function(t){return this.placement.commit(t),this.placement};var Be=512/t.EXTENT/2,Ne=function(t,e,r){this.tileID=t,this.indexedSymbolInstances={},this.bucketInstanceId=r;for(var n=0;nt.overscaledZ)for(var s in o){var l=o[s];l.tileID.isChildOf(t)&&l.findMatches(e.symbolInstances,t,i)}else{var u=o[t.scaledTo(Number(a)).key];u&&u.findMatches(e.symbolInstances,t,i)}}for(var c=0;c1?"@2x":"",l=t.getJSON(r.transformRequest(r.normalizeSpriteURL(e,s,".json"),t.ResourceType.SpriteJSON),(function(t,e){l=null,o||(o=t,i=e,c())})),u=t.getImage(r.transformRequest(r.normalizeSpriteURL(e,s,".png"),t.ResourceType.SpriteImage),(function(t,e){u=null,o||(o=t,a=e,c())}));function c(){if(o)n(o);else if(i&&a){var e=t.browser.getImageData(a),r={};for(var s in i){var l=i[s],u=l.width,c=l.height,f=l.x,h=l.y,p=l.sdf,d=l.pixelRatio,v=l.stretchX,g=l.stretchY,y=l.content,m=new t.RGBAImage({width:u,height:c});t.RGBAImage.copy(e,m,{x:f,y:h},{x:0,y:0},{width:u,height:c}),r[s]={data:m,pixelRatio:d,sdf:p,stretchX:v,stretchY:g,content:y}}n(null,r)}}return{cancel:function(){l&&(l.cancel(),l=null),u&&(u.cancel(),u=null)}}}(e,this.map._requestManager,(function(e,n){if(r._spriteRequest=null,e)r.fire(new t.ErrorEvent(e));else if(n)for(var i in n)r.imageManager.addImage(i,n[i]);r.imageManager.setLoaded(!0),r._availableImages=r.imageManager.listImages(),r.dispatcher.broadcast("setImages",r._availableImages),r.fire(new t.Event("data",{dataType:"style"}))}))},r.prototype._validateLayer=function(e){var r=this.sourceCaches[e.source];if(r){var n=e.sourceLayer;if(n){var i=r.getSource();("geojson"===i.type||i.vectorLayerIds&&-1===i.vectorLayerIds.indexOf(n))&&this.fire(new t.ErrorEvent(new Error('Source layer "'+n+'" does not exist on source "'+i.id+'" as specified by style layer "'+e.id+'"')))}}},r.prototype.loaded=function(){if(!this._loaded)return!1;if(Object.keys(this._updatedSources).length)return!1;for(var t in this.sourceCaches)if(!this.sourceCaches[t].loaded())return!1;return!!this.imageManager.isLoaded()},r.prototype._serializeLayers=function(t){for(var e=[],r=0,n=t;r0)throw new Error("Unimplemented: "+i.map((function(t){return t.command})).join(", ")+".");return n.forEach((function(t){"setTransition"!==t.command&&r[t.command].apply(r,t.args)})),this.stylesheet=e,!0},r.prototype.addImage=function(e,r){if(this.getImage(e))return this.fire(new t.ErrorEvent(new Error("An image with this name already exists.")));this.imageManager.addImage(e,r),this._afterImageUpdated(e)},r.prototype.updateImage=function(t,e){this.imageManager.updateImage(t,e)},r.prototype.getImage=function(t){return this.imageManager.getImage(t)},r.prototype.removeImage=function(e){if(!this.getImage(e))return this.fire(new t.ErrorEvent(new Error("No image with this name exists.")));this.imageManager.removeImage(e),this._afterImageUpdated(e)},r.prototype._afterImageUpdated=function(e){this._availableImages=this.imageManager.listImages(),this._changedImages[e]=!0,this._changed=!0,this.dispatcher.broadcast("setImages",this._availableImages),this.fire(new t.Event("data",{dataType:"style"}))},r.prototype.listImages=function(){return this._checkLoaded(),this.imageManager.listImages()},r.prototype.addSource=function(e,r,n){var i=this;if(void 0===n&&(n={}),this._checkLoaded(),void 0!==this.sourceCaches[e])throw new Error("There is already a source with this ID");if(!r.type)throw new Error("The type property must be defined, but only the following properties were given: "+Object.keys(r).join(", ")+".");if(!(["vector","raster","geojson","video","image"].indexOf(r.type)>=0&&this._validate(t.validateStyle.source,"sources."+e,r,null,n))){this.map&&this.map._collectResourceTiming&&(r.collectResourceTiming=!0);var a=this.sourceCaches[e]=new Ot(e,r,this.dispatcher);a.style=this,a.setEventedParent(this,(function(){return{isSourceLoaded:i.loaded(),source:a.serialize(),sourceId:e}})),a.onAdd(this.map),this._changed=!0}},r.prototype.removeSource=function(e){if(this._checkLoaded(),void 0===this.sourceCaches[e])throw new Error("There is no source with this ID");for(var r in this._layers)if(this._layers[r].source===e)return this.fire(new t.ErrorEvent(new Error('Source "'+e+'" cannot be removed while layer "'+r+'" is using it.')));var n=this.sourceCaches[e];delete this.sourceCaches[e],delete this._updatedSources[e],n.fire(new t.Event("data",{sourceDataType:"metadata",dataType:"source",sourceId:e})),n.setEventedParent(null),n.clearTiles(),n.onRemove&&n.onRemove(this.map),this._changed=!0},r.prototype.setGeoJSONSourceData=function(t,e){this._checkLoaded(),this.sourceCaches[t].getSource().setData(e),this._changed=!0},r.prototype.getSource=function(t){return this.sourceCaches[t]&&this.sourceCaches[t].getSource()},r.prototype.addLayer=function(e,r,n){void 0===n&&(n={}),this._checkLoaded();var i=e.id;if(this.getLayer(i))this.fire(new t.ErrorEvent(new Error('Layer with id "'+i+'" already exists on this map')));else{var a;if("custom"===e.type){if(qe(this,t.validateCustomStyleLayer(e)))return;a=t.createStyleLayer(e)}else{if("object"==typeof e.source&&(this.addSource(i,e.source),e=t.clone$1(e),e=t.extend(e,{source:i})),this._validate(t.validateStyle.layer,"layers."+i,e,{arrayIndex:-1},n))return;a=t.createStyleLayer(e),this._validateLayer(a),a.setEventedParent(this,{layer:{id:i}}),this._serializedLayers[a.id]=a.serialize()}var o=r?this._order.indexOf(r):this._order.length;if(r&&-1===o)this.fire(new t.ErrorEvent(new Error('Layer with id "'+r+'" does not exist on this map.')));else{if(this._order.splice(o,0,i),this._layerOrderChanged=!0,this._layers[i]=a,this._removedLayers[i]&&a.source&&"custom"!==a.type){var s=this._removedLayers[i];delete this._removedLayers[i],s.type!==a.type?this._updatedSources[a.source]="clear":(this._updatedSources[a.source]="reload",this.sourceCaches[a.source].pause())}this._updateLayer(a),a.onAdd&&a.onAdd(this.map)}}},r.prototype.moveLayer=function(e,r){if(this._checkLoaded(),this._changed=!0,this._layers[e]){if(e!==r){var n=this._order.indexOf(e);this._order.splice(n,1);var i=r?this._order.indexOf(r):this._order.length;r&&-1===i?this.fire(new t.ErrorEvent(new Error('Layer with id "'+r+'" does not exist on this map.'))):(this._order.splice(i,0,e),this._layerOrderChanged=!0)}}else this.fire(new t.ErrorEvent(new Error("The layer '"+e+"' does not exist in the map's style and cannot be moved.")))},r.prototype.removeLayer=function(e){this._checkLoaded();var r=this._layers[e];if(r){r.setEventedParent(null);var n=this._order.indexOf(e);this._order.splice(n,1),this._layerOrderChanged=!0,this._changed=!0,this._removedLayers[e]=r,delete this._layers[e],delete this._serializedLayers[e],delete this._updatedLayers[e],delete this._updatedPaintProps[e],r.onRemove&&r.onRemove(this.map)}else this.fire(new t.ErrorEvent(new Error("The layer '"+e+"' does not exist in the map's style and cannot be removed.")))},r.prototype.getLayer=function(t){return this._layers[t]},r.prototype.hasLayer=function(t){return t in this._layers},r.prototype.setLayerZoomRange=function(e,r,n){this._checkLoaded();var i=this.getLayer(e);i?i.minzoom===r&&i.maxzoom===n||(null!=r&&(i.minzoom=r),null!=n&&(i.maxzoom=n),this._updateLayer(i)):this.fire(new t.ErrorEvent(new Error("The layer '"+e+"' does not exist in the map's style and cannot have zoom extent.")))},r.prototype.setFilter=function(e,r,n){void 0===n&&(n={}),this._checkLoaded();var i=this.getLayer(e);if(i){if(!t.deepEqual(i.filter,r))return null==r?(i.filter=void 0,void this._updateLayer(i)):void(this._validate(t.validateStyle.filter,"layers."+i.id+".filter",r,null,n)||(i.filter=t.clone$1(r),this._updateLayer(i)))}else this.fire(new t.ErrorEvent(new Error("The layer '"+e+"' does not exist in the map's style and cannot be filtered.")))},r.prototype.getFilter=function(e){return t.clone$1(this.getLayer(e).filter)},r.prototype.setLayoutProperty=function(e,r,n,i){void 0===i&&(i={}),this._checkLoaded();var a=this.getLayer(e);a?t.deepEqual(a.getLayoutProperty(r),n)||(a.setLayoutProperty(r,n,i),this._updateLayer(a)):this.fire(new t.ErrorEvent(new Error("The layer '"+e+"' does not exist in the map's style and cannot be styled.")))},r.prototype.getLayoutProperty=function(e,r){var n=this.getLayer(e);if(n)return n.getLayoutProperty(r);this.fire(new t.ErrorEvent(new Error("The layer '"+e+"' does not exist in the map's style.")))},r.prototype.setPaintProperty=function(e,r,n,i){void 0===i&&(i={}),this._checkLoaded();var a=this.getLayer(e);a?t.deepEqual(a.getPaintProperty(r),n)||(a.setPaintProperty(r,n,i)&&this._updateLayer(a),this._changed=!0,this._updatedPaintProps[e]=!0):this.fire(new t.ErrorEvent(new Error("The layer '"+e+"' does not exist in the map's style and cannot be styled.")))},r.prototype.getPaintProperty=function(t,e){return this.getLayer(t).getPaintProperty(e)},r.prototype.setFeatureState=function(e,r){this._checkLoaded();var n=e.source,i=e.sourceLayer,a=this.sourceCaches[n];if(void 0!==a){var o=a.getSource().type;"geojson"===o&&i?this.fire(new t.ErrorEvent(new Error("GeoJSON sources cannot have a sourceLayer parameter."))):"vector"!==o||i?(void 0===e.id&&this.fire(new t.ErrorEvent(new Error("The feature id parameter must be provided."))),a.setFeatureState(i,e.id,r)):this.fire(new t.ErrorEvent(new Error("The sourceLayer parameter must be provided for vector source types.")))}else this.fire(new t.ErrorEvent(new Error("The source '"+n+"' does not exist in the map's style.")))},r.prototype.removeFeatureState=function(e,r){this._checkLoaded();var n=e.source,i=this.sourceCaches[n];if(void 0!==i){var a=i.getSource().type,o="vector"===a?e.sourceLayer:void 0;"vector"!==a||o?r&&"string"!=typeof e.id&&"number"!=typeof e.id?this.fire(new t.ErrorEvent(new Error("A feature id is required to remove its specific state property."))):i.removeFeatureState(o,e.id,r):this.fire(new t.ErrorEvent(new Error("The sourceLayer parameter must be provided for vector source types.")))}else this.fire(new t.ErrorEvent(new Error("The source '"+n+"' does not exist in the map's style.")))},r.prototype.getFeatureState=function(e){this._checkLoaded();var r=e.source,n=e.sourceLayer,i=this.sourceCaches[r];if(void 0!==i){if("vector"!==i.getSource().type||n)return void 0===e.id&&this.fire(new t.ErrorEvent(new Error("The feature id parameter must be provided."))),i.getFeatureState(n,e.id);this.fire(new t.ErrorEvent(new Error("The sourceLayer parameter must be provided for vector source types.")))}else this.fire(new t.ErrorEvent(new Error("The source '"+r+"' does not exist in the map's style.")))},r.prototype.getTransition=function(){return t.extend({duration:300,delay:0},this.stylesheet&&this.stylesheet.transition)},r.prototype.serialize=function(){return t.filterObject({version:this.stylesheet.version,name:this.stylesheet.name,metadata:this.stylesheet.metadata,light:this.stylesheet.light,center:this.stylesheet.center,zoom:this.stylesheet.zoom,bearing:this.stylesheet.bearing,pitch:this.stylesheet.pitch,sprite:this.stylesheet.sprite,glyphs:this.stylesheet.glyphs,transition:this.stylesheet.transition,sources:t.mapObject(this.sourceCaches,(function(t){return t.serialize()})),layers:this._serializeLayers(this._order)},(function(t){return void 0!==t}))},r.prototype._updateLayer=function(t){this._updatedLayers[t.id]=!0,t.source&&!this._updatedSources[t.source]&&"raster"!==this.sourceCaches[t.source].getSource().type&&(this._updatedSources[t.source]="reload",this.sourceCaches[t.source].pause()),this._changed=!0},r.prototype._flattenAndSortRenderedFeatures=function(t){for(var e=this,r=function(t){return"fill-extrusion"===e._layers[t].type},n={},i=[],a=this._order.length-1;a>=0;a--){var o=this._order[a];if(r(o)){n[o]=a;for(var s=0,l=t;s=0;d--){var v=this._order[d];if(r(v))for(var g=i.length-1;g>=0;g--){var y=i[g].feature;if(n[y.layer.id] 0.5) {gl_FragColor=vec4(0.0,0.0,1.0,0.5)*alpha;}if (v_notUsed > 0.5) {gl_FragColor*=.1;}}","attribute vec2 a_pos;attribute vec2 a_anchor_pos;attribute vec2 a_extrude;attribute vec2 a_placed;attribute vec2 a_shift;uniform mat4 u_matrix;uniform vec2 u_extrude_scale;uniform float u_camera_to_center_distance;varying float v_placed;varying float v_notUsed;void main() {vec4 projectedPoint=u_matrix*vec4(a_anchor_pos,0,1);highp float camera_to_anchor_distance=projectedPoint.w;highp float collision_perspective_ratio=clamp(0.5+0.5*(u_camera_to_center_distance/camera_to_anchor_distance),0.0,4.0);gl_Position=u_matrix*vec4(a_pos,0.0,1.0);gl_Position.xy+=(a_extrude+a_shift)*u_extrude_scale*gl_Position.w*collision_perspective_ratio;v_placed=a_placed.x;v_notUsed=a_placed.y;}"),nr=_r("varying float v_radius;varying vec2 v_extrude;varying float v_perspective_ratio;varying float v_collision;void main() {float alpha=0.5*min(v_perspective_ratio,1.0);float stroke_radius=0.9*max(v_perspective_ratio,1.0);float distance_to_center=length(v_extrude);float distance_to_edge=abs(distance_to_center-v_radius);float opacity_t=smoothstep(-stroke_radius,0.0,-distance_to_edge);vec4 color=mix(vec4(0.0,0.0,1.0,0.5),vec4(1.0,0.0,0.0,1.0),v_collision);gl_FragColor=color*alpha*opacity_t;}","attribute vec2 a_pos;attribute float a_radius;attribute vec2 a_flags;uniform mat4 u_matrix;uniform mat4 u_inv_matrix;uniform vec2 u_viewport_size;uniform float u_camera_to_center_distance;varying float v_radius;varying vec2 v_extrude;varying float v_perspective_ratio;varying float v_collision;vec3 toTilePosition(vec2 screenPos) {vec4 rayStart=u_inv_matrix*vec4(screenPos,-1.0,1.0);vec4 rayEnd =u_inv_matrix*vec4(screenPos, 1.0,1.0);rayStart.xyz/=rayStart.w;rayEnd.xyz /=rayEnd.w;highp float t=(0.0-rayStart.z)/(rayEnd.z-rayStart.z);return mix(rayStart.xyz,rayEnd.xyz,t);}void main() {vec2 quadCenterPos=a_pos;float radius=a_radius;float collision=a_flags.x;float vertexIdx=a_flags.y;vec2 quadVertexOffset=vec2(mix(-1.0,1.0,float(vertexIdx >=2.0)),mix(-1.0,1.0,float(vertexIdx >=1.0 && vertexIdx <=2.0)));vec2 quadVertexExtent=quadVertexOffset*radius;vec3 tilePos=toTilePosition(quadCenterPos);vec4 clipPos=u_matrix*vec4(tilePos,1.0);highp float camera_to_anchor_distance=clipPos.w;highp float collision_perspective_ratio=clamp(0.5+0.5*(u_camera_to_center_distance/camera_to_anchor_distance),0.0,4.0);float padding_factor=1.2;v_radius=radius;v_extrude=quadVertexExtent*padding_factor;v_perspective_ratio=collision_perspective_ratio;v_collision=collision;gl_Position=vec4(clipPos.xyz/clipPos.w,1.0)+vec4(quadVertexExtent*padding_factor/u_viewport_size*2.0,0.0,0.0);}"),ir=_r("uniform highp vec4 u_color;uniform sampler2D u_overlay;varying vec2 v_uv;void main() {vec4 overlay_color=texture2D(u_overlay,v_uv);gl_FragColor=mix(u_color,overlay_color,overlay_color.a);}","attribute vec2 a_pos;varying vec2 v_uv;uniform mat4 u_matrix;uniform float u_overlay_scale;void main() {v_uv=a_pos/8192.0;gl_Position=u_matrix*vec4(a_pos*u_overlay_scale,0,1);}"),ar=_r("#pragma mapbox: define highp vec4 color\n#pragma mapbox: define lowp float opacity\nvoid main() {\n#pragma mapbox: initialize highp vec4 color\n#pragma mapbox: initialize lowp float opacity\ngl_FragColor=color*opacity;\n#ifdef OVERDRAW_INSPECTOR\ngl_FragColor=vec4(1.0);\n#endif\n}","attribute vec2 a_pos;uniform mat4 u_matrix;\n#pragma mapbox: define highp vec4 color\n#pragma mapbox: define lowp float opacity\nvoid main() {\n#pragma mapbox: initialize highp vec4 color\n#pragma mapbox: initialize lowp float opacity\ngl_Position=u_matrix*vec4(a_pos,0,1);}"),or=_r("varying vec2 v_pos;\n#pragma mapbox: define highp vec4 outline_color\n#pragma mapbox: define lowp float opacity\nvoid main() {\n#pragma mapbox: initialize highp vec4 outline_color\n#pragma mapbox: initialize lowp float opacity\nfloat dist=length(v_pos-gl_FragCoord.xy);float alpha=1.0-smoothstep(0.0,1.0,dist);gl_FragColor=outline_color*(alpha*opacity);\n#ifdef OVERDRAW_INSPECTOR\ngl_FragColor=vec4(1.0);\n#endif\n}","attribute vec2 a_pos;uniform mat4 u_matrix;uniform vec2 u_world;varying vec2 v_pos;\n#pragma mapbox: define highp vec4 outline_color\n#pragma mapbox: define lowp float opacity\nvoid main() {\n#pragma mapbox: initialize highp vec4 outline_color\n#pragma mapbox: initialize lowp float opacity\ngl_Position=u_matrix*vec4(a_pos,0,1);v_pos=(gl_Position.xy/gl_Position.w+1.0)/2.0*u_world;}"),sr=_r("uniform vec2 u_texsize;uniform sampler2D u_image;uniform float u_fade;varying vec2 v_pos_a;varying vec2 v_pos_b;varying vec2 v_pos;\n#pragma mapbox: define lowp float opacity\n#pragma mapbox: define lowp vec4 pattern_from\n#pragma mapbox: define lowp vec4 pattern_to\nvoid main() {\n#pragma mapbox: initialize lowp float opacity\n#pragma mapbox: initialize mediump vec4 pattern_from\n#pragma mapbox: initialize mediump vec4 pattern_to\nvec2 pattern_tl_a=pattern_from.xy;vec2 pattern_br_a=pattern_from.zw;vec2 pattern_tl_b=pattern_to.xy;vec2 pattern_br_b=pattern_to.zw;vec2 imagecoord=mod(v_pos_a,1.0);vec2 pos=mix(pattern_tl_a/u_texsize,pattern_br_a/u_texsize,imagecoord);vec4 color1=texture2D(u_image,pos);vec2 imagecoord_b=mod(v_pos_b,1.0);vec2 pos2=mix(pattern_tl_b/u_texsize,pattern_br_b/u_texsize,imagecoord_b);vec4 color2=texture2D(u_image,pos2);float dist=length(v_pos-gl_FragCoord.xy);float alpha=1.0-smoothstep(0.0,1.0,dist);gl_FragColor=mix(color1,color2,u_fade)*alpha*opacity;\n#ifdef OVERDRAW_INSPECTOR\ngl_FragColor=vec4(1.0);\n#endif\n}","uniform mat4 u_matrix;uniform vec2 u_world;uniform vec2 u_pixel_coord_upper;uniform vec2 u_pixel_coord_lower;uniform vec3 u_scale;attribute vec2 a_pos;varying vec2 v_pos_a;varying vec2 v_pos_b;varying vec2 v_pos;\n#pragma mapbox: define lowp float opacity\n#pragma mapbox: define lowp vec4 pattern_from\n#pragma mapbox: define lowp vec4 pattern_to\n#pragma mapbox: define lowp float pixel_ratio_from\n#pragma mapbox: define lowp float pixel_ratio_to\nvoid main() {\n#pragma mapbox: initialize lowp float opacity\n#pragma mapbox: initialize mediump vec4 pattern_from\n#pragma mapbox: initialize mediump vec4 pattern_to\n#pragma mapbox: initialize lowp float pixel_ratio_from\n#pragma mapbox: initialize lowp float pixel_ratio_to\nvec2 pattern_tl_a=pattern_from.xy;vec2 pattern_br_a=pattern_from.zw;vec2 pattern_tl_b=pattern_to.xy;vec2 pattern_br_b=pattern_to.zw;float tileRatio=u_scale.x;float fromScale=u_scale.y;float toScale=u_scale.z;gl_Position=u_matrix*vec4(a_pos,0,1);vec2 display_size_a=(pattern_br_a-pattern_tl_a)/pixel_ratio_from;vec2 display_size_b=(pattern_br_b-pattern_tl_b)/pixel_ratio_to;v_pos_a=get_pattern_pos(u_pixel_coord_upper,u_pixel_coord_lower,fromScale*display_size_a,tileRatio,a_pos);v_pos_b=get_pattern_pos(u_pixel_coord_upper,u_pixel_coord_lower,toScale*display_size_b,tileRatio,a_pos);v_pos=(gl_Position.xy/gl_Position.w+1.0)/2.0*u_world;}"),lr=_r("uniform vec2 u_texsize;uniform float u_fade;uniform sampler2D u_image;varying vec2 v_pos_a;varying vec2 v_pos_b;\n#pragma mapbox: define lowp float opacity\n#pragma mapbox: define lowp vec4 pattern_from\n#pragma mapbox: define lowp vec4 pattern_to\nvoid main() {\n#pragma mapbox: initialize lowp float opacity\n#pragma mapbox: initialize mediump vec4 pattern_from\n#pragma mapbox: initialize mediump vec4 pattern_to\nvec2 pattern_tl_a=pattern_from.xy;vec2 pattern_br_a=pattern_from.zw;vec2 pattern_tl_b=pattern_to.xy;vec2 pattern_br_b=pattern_to.zw;vec2 imagecoord=mod(v_pos_a,1.0);vec2 pos=mix(pattern_tl_a/u_texsize,pattern_br_a/u_texsize,imagecoord);vec4 color1=texture2D(u_image,pos);vec2 imagecoord_b=mod(v_pos_b,1.0);vec2 pos2=mix(pattern_tl_b/u_texsize,pattern_br_b/u_texsize,imagecoord_b);vec4 color2=texture2D(u_image,pos2);gl_FragColor=mix(color1,color2,u_fade)*opacity;\n#ifdef OVERDRAW_INSPECTOR\ngl_FragColor=vec4(1.0);\n#endif\n}","uniform mat4 u_matrix;uniform vec2 u_pixel_coord_upper;uniform vec2 u_pixel_coord_lower;uniform vec3 u_scale;attribute vec2 a_pos;varying vec2 v_pos_a;varying vec2 v_pos_b;\n#pragma mapbox: define lowp float opacity\n#pragma mapbox: define lowp vec4 pattern_from\n#pragma mapbox: define lowp vec4 pattern_to\n#pragma mapbox: define lowp float pixel_ratio_from\n#pragma mapbox: define lowp float pixel_ratio_to\nvoid main() {\n#pragma mapbox: initialize lowp float opacity\n#pragma mapbox: initialize mediump vec4 pattern_from\n#pragma mapbox: initialize mediump vec4 pattern_to\n#pragma mapbox: initialize lowp float pixel_ratio_from\n#pragma mapbox: initialize lowp float pixel_ratio_to\nvec2 pattern_tl_a=pattern_from.xy;vec2 pattern_br_a=pattern_from.zw;vec2 pattern_tl_b=pattern_to.xy;vec2 pattern_br_b=pattern_to.zw;float tileZoomRatio=u_scale.x;float fromScale=u_scale.y;float toScale=u_scale.z;vec2 display_size_a=(pattern_br_a-pattern_tl_a)/pixel_ratio_from;vec2 display_size_b=(pattern_br_b-pattern_tl_b)/pixel_ratio_to;gl_Position=u_matrix*vec4(a_pos,0,1);v_pos_a=get_pattern_pos(u_pixel_coord_upper,u_pixel_coord_lower,fromScale*display_size_a,tileZoomRatio,a_pos);v_pos_b=get_pattern_pos(u_pixel_coord_upper,u_pixel_coord_lower,toScale*display_size_b,tileZoomRatio,a_pos);}"),ur=_r("varying vec4 v_color;void main() {gl_FragColor=v_color;\n#ifdef OVERDRAW_INSPECTOR\ngl_FragColor=vec4(1.0);\n#endif\n}","uniform mat4 u_matrix;uniform vec3 u_lightcolor;uniform lowp vec3 u_lightpos;uniform lowp float u_lightintensity;uniform float u_vertical_gradient;uniform lowp float u_opacity;attribute vec2 a_pos;attribute vec4 a_normal_ed;varying vec4 v_color;\n#pragma mapbox: define highp float base\n#pragma mapbox: define highp float height\n#pragma mapbox: define highp vec4 color\nvoid main() {\n#pragma mapbox: initialize highp float base\n#pragma mapbox: initialize highp float height\n#pragma mapbox: initialize highp vec4 color\nvec3 normal=a_normal_ed.xyz;base=max(0.0,base);height=max(0.0,height);float t=mod(normal.x,2.0);gl_Position=u_matrix*vec4(a_pos,t > 0.0 ? height : base,1);float colorvalue=color.r*0.2126+color.g*0.7152+color.b*0.0722;v_color=vec4(0.0,0.0,0.0,1.0);vec4 ambientlight=vec4(0.03,0.03,0.03,1.0);color+=ambientlight;float directional=clamp(dot(normal/16384.0,u_lightpos),0.0,1.0);directional=mix((1.0-u_lightintensity),max((1.0-colorvalue+u_lightintensity),1.0),directional);if (normal.y !=0.0) {directional*=((1.0-u_vertical_gradient)+(u_vertical_gradient*clamp((t+base)*pow(height/150.0,0.5),mix(0.7,0.98,1.0-u_lightintensity),1.0)));}v_color.r+=clamp(color.r*directional*u_lightcolor.r,mix(0.0,0.3,1.0-u_lightcolor.r),1.0);v_color.g+=clamp(color.g*directional*u_lightcolor.g,mix(0.0,0.3,1.0-u_lightcolor.g),1.0);v_color.b+=clamp(color.b*directional*u_lightcolor.b,mix(0.0,0.3,1.0-u_lightcolor.b),1.0);v_color*=u_opacity;}"),cr=_r("uniform vec2 u_texsize;uniform float u_fade;uniform sampler2D u_image;varying vec2 v_pos_a;varying vec2 v_pos_b;varying vec4 v_lighting;\n#pragma mapbox: define lowp float base\n#pragma mapbox: define lowp float height\n#pragma mapbox: define lowp vec4 pattern_from\n#pragma mapbox: define lowp vec4 pattern_to\n#pragma mapbox: define lowp float pixel_ratio_from\n#pragma mapbox: define lowp float pixel_ratio_to\nvoid main() {\n#pragma mapbox: initialize lowp float base\n#pragma mapbox: initialize lowp float height\n#pragma mapbox: initialize mediump vec4 pattern_from\n#pragma mapbox: initialize mediump vec4 pattern_to\n#pragma mapbox: initialize lowp float pixel_ratio_from\n#pragma mapbox: initialize lowp float pixel_ratio_to\nvec2 pattern_tl_a=pattern_from.xy;vec2 pattern_br_a=pattern_from.zw;vec2 pattern_tl_b=pattern_to.xy;vec2 pattern_br_b=pattern_to.zw;vec2 imagecoord=mod(v_pos_a,1.0);vec2 pos=mix(pattern_tl_a/u_texsize,pattern_br_a/u_texsize,imagecoord);vec4 color1=texture2D(u_image,pos);vec2 imagecoord_b=mod(v_pos_b,1.0);vec2 pos2=mix(pattern_tl_b/u_texsize,pattern_br_b/u_texsize,imagecoord_b);vec4 color2=texture2D(u_image,pos2);vec4 mixedColor=mix(color1,color2,u_fade);gl_FragColor=mixedColor*v_lighting;\n#ifdef OVERDRAW_INSPECTOR\ngl_FragColor=vec4(1.0);\n#endif\n}","uniform mat4 u_matrix;uniform vec2 u_pixel_coord_upper;uniform vec2 u_pixel_coord_lower;uniform float u_height_factor;uniform vec3 u_scale;uniform float u_vertical_gradient;uniform lowp float u_opacity;uniform vec3 u_lightcolor;uniform lowp vec3 u_lightpos;uniform lowp float u_lightintensity;attribute vec2 a_pos;attribute vec4 a_normal_ed;varying vec2 v_pos_a;varying vec2 v_pos_b;varying vec4 v_lighting;\n#pragma mapbox: define lowp float base\n#pragma mapbox: define lowp float height\n#pragma mapbox: define lowp vec4 pattern_from\n#pragma mapbox: define lowp vec4 pattern_to\n#pragma mapbox: define lowp float pixel_ratio_from\n#pragma mapbox: define lowp float pixel_ratio_to\nvoid main() {\n#pragma mapbox: initialize lowp float base\n#pragma mapbox: initialize lowp float height\n#pragma mapbox: initialize mediump vec4 pattern_from\n#pragma mapbox: initialize mediump vec4 pattern_to\n#pragma mapbox: initialize lowp float pixel_ratio_from\n#pragma mapbox: initialize lowp float pixel_ratio_to\nvec2 pattern_tl_a=pattern_from.xy;vec2 pattern_br_a=pattern_from.zw;vec2 pattern_tl_b=pattern_to.xy;vec2 pattern_br_b=pattern_to.zw;float tileRatio=u_scale.x;float fromScale=u_scale.y;float toScale=u_scale.z;vec3 normal=a_normal_ed.xyz;float edgedistance=a_normal_ed.w;vec2 display_size_a=(pattern_br_a-pattern_tl_a)/pixel_ratio_from;vec2 display_size_b=(pattern_br_b-pattern_tl_b)/pixel_ratio_to;base=max(0.0,base);height=max(0.0,height);float t=mod(normal.x,2.0);float z=t > 0.0 ? height : base;gl_Position=u_matrix*vec4(a_pos,z,1);vec2 pos=normal.x==1.0 && normal.y==0.0 && normal.z==16384.0\n? a_pos\n: vec2(edgedistance,z*u_height_factor);v_pos_a=get_pattern_pos(u_pixel_coord_upper,u_pixel_coord_lower,fromScale*display_size_a,tileRatio,pos);v_pos_b=get_pattern_pos(u_pixel_coord_upper,u_pixel_coord_lower,toScale*display_size_b,tileRatio,pos);v_lighting=vec4(0.0,0.0,0.0,1.0);float directional=clamp(dot(normal/16383.0,u_lightpos),0.0,1.0);directional=mix((1.0-u_lightintensity),max((0.5+u_lightintensity),1.0),directional);if (normal.y !=0.0) {directional*=((1.0-u_vertical_gradient)+(u_vertical_gradient*clamp((t+base)*pow(height/150.0,0.5),mix(0.7,0.98,1.0-u_lightintensity),1.0)));}v_lighting.rgb+=clamp(directional*u_lightcolor,mix(vec3(0.0),vec3(0.3),1.0-u_lightcolor),vec3(1.0));v_lighting*=u_opacity;}"),fr=_r("#ifdef GL_ES\nprecision highp float;\n#endif\nuniform sampler2D u_image;varying vec2 v_pos;uniform vec2 u_dimension;uniform float u_zoom;uniform vec4 u_unpack;float getElevation(vec2 coord,float bias) {vec4 data=texture2D(u_image,coord)*255.0;data.a=-1.0;return dot(data,u_unpack)/4.0;}void main() {vec2 epsilon=1.0/u_dimension;float a=getElevation(v_pos+vec2(-epsilon.x,-epsilon.y),0.0);float b=getElevation(v_pos+vec2(0,-epsilon.y),0.0);float c=getElevation(v_pos+vec2(epsilon.x,-epsilon.y),0.0);float d=getElevation(v_pos+vec2(-epsilon.x,0),0.0);float e=getElevation(v_pos,0.0);float f=getElevation(v_pos+vec2(epsilon.x,0),0.0);float g=getElevation(v_pos+vec2(-epsilon.x,epsilon.y),0.0);float h=getElevation(v_pos+vec2(0,epsilon.y),0.0);float i=getElevation(v_pos+vec2(epsilon.x,epsilon.y),0.0);float exaggerationFactor=u_zoom < 2.0 ? 0.4 : u_zoom < 4.5 ? 0.35 : 0.3;float exaggeration=u_zoom < 15.0 ? (u_zoom-15.0)*exaggerationFactor : 0.0;vec2 deriv=vec2((c+f+f+i)-(a+d+d+g),(g+h+h+i)-(a+b+b+c))/pow(2.0,exaggeration+(19.2562-u_zoom));gl_FragColor=clamp(vec4(deriv.x/2.0+0.5,deriv.y/2.0+0.5,1.0,1.0),0.0,1.0);\n#ifdef OVERDRAW_INSPECTOR\ngl_FragColor=vec4(1.0);\n#endif\n}","uniform mat4 u_matrix;uniform vec2 u_dimension;attribute vec2 a_pos;attribute vec2 a_texture_pos;varying vec2 v_pos;void main() {gl_Position=u_matrix*vec4(a_pos,0,1);highp vec2 epsilon=1.0/u_dimension;float scale=(u_dimension.x-2.0)/u_dimension.x;v_pos=(a_texture_pos/8192.0)*scale+epsilon;}"),hr=_r("uniform sampler2D u_image;varying vec2 v_pos;uniform vec2 u_latrange;uniform vec2 u_light;uniform vec4 u_shadow;uniform vec4 u_highlight;uniform vec4 u_accent;\n#define PI 3.141592653589793\nvoid main() {vec4 pixel=texture2D(u_image,v_pos);vec2 deriv=((pixel.rg*2.0)-1.0);float scaleFactor=cos(radians((u_latrange[0]-u_latrange[1])*(1.0-v_pos.y)+u_latrange[1]));float slope=atan(1.25*length(deriv)/scaleFactor);float aspect=deriv.x !=0.0 ? atan(deriv.y,-deriv.x) : PI/2.0*(deriv.y > 0.0 ? 1.0 :-1.0);float intensity=u_light.x;float azimuth=u_light.y+PI;float base=1.875-intensity*1.75;float maxValue=0.5*PI;float scaledSlope=intensity !=0.5 ? ((pow(base,slope)-1.0)/(pow(base,maxValue)-1.0))*maxValue : slope;float accent=cos(scaledSlope);vec4 accent_color=(1.0-accent)*u_accent*clamp(intensity*2.0,0.0,1.0);float shade=abs(mod((aspect+azimuth)/PI+0.5,2.0)-1.0);vec4 shade_color=mix(u_shadow,u_highlight,shade)*sin(scaledSlope)*clamp(intensity*2.0,0.0,1.0);gl_FragColor=accent_color*(1.0-shade_color.a)+shade_color;\n#ifdef OVERDRAW_INSPECTOR\ngl_FragColor=vec4(1.0);\n#endif\n}","uniform mat4 u_matrix;attribute vec2 a_pos;attribute vec2 a_texture_pos;varying vec2 v_pos;void main() {gl_Position=u_matrix*vec4(a_pos,0,1);v_pos=a_texture_pos/8192.0;}"),pr=_r("uniform lowp float u_device_pixel_ratio;varying vec2 v_width2;varying vec2 v_normal;varying float v_gamma_scale;\n#pragma mapbox: define highp vec4 color\n#pragma mapbox: define lowp float blur\n#pragma mapbox: define lowp float opacity\nvoid main() {\n#pragma mapbox: initialize highp vec4 color\n#pragma mapbox: initialize lowp float blur\n#pragma mapbox: initialize lowp float opacity\nfloat dist=length(v_normal)*v_width2.s;float blur2=(blur+1.0/u_device_pixel_ratio)*v_gamma_scale;float alpha=clamp(min(dist-(v_width2.t-blur2),v_width2.s-dist)/blur2,0.0,1.0);gl_FragColor=color*(alpha*opacity);\n#ifdef OVERDRAW_INSPECTOR\ngl_FragColor=vec4(1.0);\n#endif\n}","\n#define scale 0.015873016\nattribute vec2 a_pos_normal;attribute vec4 a_data;uniform mat4 u_matrix;uniform mediump float u_ratio;uniform vec2 u_units_to_pixels;uniform lowp float u_device_pixel_ratio;varying vec2 v_normal;varying vec2 v_width2;varying float v_gamma_scale;varying highp float v_linesofar;\n#pragma mapbox: define highp vec4 color\n#pragma mapbox: define lowp float blur\n#pragma mapbox: define lowp float opacity\n#pragma mapbox: define mediump float gapwidth\n#pragma mapbox: define lowp float offset\n#pragma mapbox: define mediump float width\nvoid main() {\n#pragma mapbox: initialize highp vec4 color\n#pragma mapbox: initialize lowp float blur\n#pragma mapbox: initialize lowp float opacity\n#pragma mapbox: initialize mediump float gapwidth\n#pragma mapbox: initialize lowp float offset\n#pragma mapbox: initialize mediump float width\nfloat ANTIALIASING=1.0/u_device_pixel_ratio/2.0;vec2 a_extrude=a_data.xy-128.0;float a_direction=mod(a_data.z,4.0)-1.0;v_linesofar=(floor(a_data.z/4.0)+a_data.w*64.0)*2.0;vec2 pos=floor(a_pos_normal*0.5);mediump vec2 normal=a_pos_normal-2.0*pos;normal.y=normal.y*2.0-1.0;v_normal=normal;gapwidth=gapwidth/2.0;float halfwidth=width/2.0;offset=-1.0*offset;float inset=gapwidth+(gapwidth > 0.0 ? ANTIALIASING : 0.0);float outset=gapwidth+halfwidth*(gapwidth > 0.0 ? 2.0 : 1.0)+(halfwidth==0.0 ? 0.0 : ANTIALIASING);mediump vec2 dist=outset*a_extrude*scale;mediump float u=0.5*a_direction;mediump float t=1.0-abs(u);mediump vec2 offset2=offset*a_extrude*scale*normal.y*mat2(t,-u,u,t);vec4 projected_extrude=u_matrix*vec4(dist/u_ratio,0.0,0.0);gl_Position=u_matrix*vec4(pos+offset2/u_ratio,0.0,1.0)+projected_extrude;float extrude_length_without_perspective=length(dist);float extrude_length_with_perspective=length(projected_extrude.xy/gl_Position.w*u_units_to_pixels);v_gamma_scale=extrude_length_without_perspective/extrude_length_with_perspective;v_width2=vec2(outset,inset);}"),dr=_r("uniform lowp float u_device_pixel_ratio;uniform sampler2D u_image;varying vec2 v_width2;varying vec2 v_normal;varying float v_gamma_scale;varying highp vec2 v_uv;\n#pragma mapbox: define lowp float blur\n#pragma mapbox: define lowp float opacity\nvoid main() {\n#pragma mapbox: initialize lowp float blur\n#pragma mapbox: initialize lowp float opacity\nfloat dist=length(v_normal)*v_width2.s;float blur2=(blur+1.0/u_device_pixel_ratio)*v_gamma_scale;float alpha=clamp(min(dist-(v_width2.t-blur2),v_width2.s-dist)/blur2,0.0,1.0);vec4 color=texture2D(u_image,v_uv);gl_FragColor=color*(alpha*opacity);\n#ifdef OVERDRAW_INSPECTOR\ngl_FragColor=vec4(1.0);\n#endif\n}","\n#define scale 0.015873016\nattribute vec2 a_pos_normal;attribute vec4 a_data;attribute float a_uv_x;attribute float a_split_index;uniform mat4 u_matrix;uniform mediump float u_ratio;uniform lowp float u_device_pixel_ratio;uniform vec2 u_units_to_pixels;uniform float u_image_height;varying vec2 v_normal;varying vec2 v_width2;varying float v_gamma_scale;varying highp vec2 v_uv;\n#pragma mapbox: define lowp float blur\n#pragma mapbox: define lowp float opacity\n#pragma mapbox: define mediump float gapwidth\n#pragma mapbox: define lowp float offset\n#pragma mapbox: define mediump float width\nvoid main() {\n#pragma mapbox: initialize lowp float blur\n#pragma mapbox: initialize lowp float opacity\n#pragma mapbox: initialize mediump float gapwidth\n#pragma mapbox: initialize lowp float offset\n#pragma mapbox: initialize mediump float width\nfloat ANTIALIASING=1.0/u_device_pixel_ratio/2.0;vec2 a_extrude=a_data.xy-128.0;float a_direction=mod(a_data.z,4.0)-1.0;highp float texel_height=1.0/u_image_height;highp float half_texel_height=0.5*texel_height;v_uv=vec2(a_uv_x,a_split_index*texel_height-half_texel_height);vec2 pos=floor(a_pos_normal*0.5);mediump vec2 normal=a_pos_normal-2.0*pos;normal.y=normal.y*2.0-1.0;v_normal=normal;gapwidth=gapwidth/2.0;float halfwidth=width/2.0;offset=-1.0*offset;float inset=gapwidth+(gapwidth > 0.0 ? ANTIALIASING : 0.0);float outset=gapwidth+halfwidth*(gapwidth > 0.0 ? 2.0 : 1.0)+(halfwidth==0.0 ? 0.0 : ANTIALIASING);mediump vec2 dist=outset*a_extrude*scale;mediump float u=0.5*a_direction;mediump float t=1.0-abs(u);mediump vec2 offset2=offset*a_extrude*scale*normal.y*mat2(t,-u,u,t);vec4 projected_extrude=u_matrix*vec4(dist/u_ratio,0.0,0.0);gl_Position=u_matrix*vec4(pos+offset2/u_ratio,0.0,1.0)+projected_extrude;float extrude_length_without_perspective=length(dist);float extrude_length_with_perspective=length(projected_extrude.xy/gl_Position.w*u_units_to_pixels);v_gamma_scale=extrude_length_without_perspective/extrude_length_with_perspective;v_width2=vec2(outset,inset);}"),vr=_r("uniform lowp float u_device_pixel_ratio;uniform vec2 u_texsize;uniform float u_fade;uniform mediump vec3 u_scale;uniform sampler2D u_image;varying vec2 v_normal;varying vec2 v_width2;varying float v_linesofar;varying float v_gamma_scale;varying float v_width;\n#pragma mapbox: define lowp vec4 pattern_from\n#pragma mapbox: define lowp vec4 pattern_to\n#pragma mapbox: define lowp float pixel_ratio_from\n#pragma mapbox: define lowp float pixel_ratio_to\n#pragma mapbox: define lowp float blur\n#pragma mapbox: define lowp float opacity\nvoid main() {\n#pragma mapbox: initialize mediump vec4 pattern_from\n#pragma mapbox: initialize mediump vec4 pattern_to\n#pragma mapbox: initialize lowp float pixel_ratio_from\n#pragma mapbox: initialize lowp float pixel_ratio_to\n#pragma mapbox: initialize lowp float blur\n#pragma mapbox: initialize lowp float opacity\nvec2 pattern_tl_a=pattern_from.xy;vec2 pattern_br_a=pattern_from.zw;vec2 pattern_tl_b=pattern_to.xy;vec2 pattern_br_b=pattern_to.zw;float tileZoomRatio=u_scale.x;float fromScale=u_scale.y;float toScale=u_scale.z;vec2 display_size_a=(pattern_br_a-pattern_tl_a)/pixel_ratio_from;vec2 display_size_b=(pattern_br_b-pattern_tl_b)/pixel_ratio_to;vec2 pattern_size_a=vec2(display_size_a.x*fromScale/tileZoomRatio,display_size_a.y);vec2 pattern_size_b=vec2(display_size_b.x*toScale/tileZoomRatio,display_size_b.y);float aspect_a=display_size_a.y/v_width;float aspect_b=display_size_b.y/v_width;float dist=length(v_normal)*v_width2.s;float blur2=(blur+1.0/u_device_pixel_ratio)*v_gamma_scale;float alpha=clamp(min(dist-(v_width2.t-blur2),v_width2.s-dist)/blur2,0.0,1.0);float x_a=mod(v_linesofar/pattern_size_a.x*aspect_a,1.0);float x_b=mod(v_linesofar/pattern_size_b.x*aspect_b,1.0);float y=0.5*v_normal.y+0.5;vec2 texel_size=1.0/u_texsize;vec2 pos_a=mix(pattern_tl_a*texel_size-texel_size,pattern_br_a*texel_size+texel_size,vec2(x_a,y));vec2 pos_b=mix(pattern_tl_b*texel_size-texel_size,pattern_br_b*texel_size+texel_size,vec2(x_b,y));vec4 color=mix(texture2D(u_image,pos_a),texture2D(u_image,pos_b),u_fade);gl_FragColor=color*alpha*opacity;\n#ifdef OVERDRAW_INSPECTOR\ngl_FragColor=vec4(1.0);\n#endif\n}","\n#define scale 0.015873016\n#define LINE_DISTANCE_SCALE 2.0\nattribute vec2 a_pos_normal;attribute vec4 a_data;uniform mat4 u_matrix;uniform vec2 u_units_to_pixels;uniform mediump float u_ratio;uniform lowp float u_device_pixel_ratio;varying vec2 v_normal;varying vec2 v_width2;varying float v_linesofar;varying float v_gamma_scale;varying float v_width;\n#pragma mapbox: define lowp float blur\n#pragma mapbox: define lowp float opacity\n#pragma mapbox: define lowp float offset\n#pragma mapbox: define mediump float gapwidth\n#pragma mapbox: define mediump float width\n#pragma mapbox: define lowp float floorwidth\n#pragma mapbox: define lowp vec4 pattern_from\n#pragma mapbox: define lowp vec4 pattern_to\n#pragma mapbox: define lowp float pixel_ratio_from\n#pragma mapbox: define lowp float pixel_ratio_to\nvoid main() {\n#pragma mapbox: initialize lowp float blur\n#pragma mapbox: initialize lowp float opacity\n#pragma mapbox: initialize lowp float offset\n#pragma mapbox: initialize mediump float gapwidth\n#pragma mapbox: initialize mediump float width\n#pragma mapbox: initialize lowp float floorwidth\n#pragma mapbox: initialize mediump vec4 pattern_from\n#pragma mapbox: initialize mediump vec4 pattern_to\n#pragma mapbox: initialize lowp float pixel_ratio_from\n#pragma mapbox: initialize lowp float pixel_ratio_to\nfloat ANTIALIASING=1.0/u_device_pixel_ratio/2.0;vec2 a_extrude=a_data.xy-128.0;float a_direction=mod(a_data.z,4.0)-1.0;float a_linesofar=(floor(a_data.z/4.0)+a_data.w*64.0)*LINE_DISTANCE_SCALE;vec2 pos=floor(a_pos_normal*0.5);mediump vec2 normal=a_pos_normal-2.0*pos;normal.y=normal.y*2.0-1.0;v_normal=normal;gapwidth=gapwidth/2.0;float halfwidth=width/2.0;offset=-1.0*offset;float inset=gapwidth+(gapwidth > 0.0 ? ANTIALIASING : 0.0);float outset=gapwidth+halfwidth*(gapwidth > 0.0 ? 2.0 : 1.0)+(halfwidth==0.0 ? 0.0 : ANTIALIASING);mediump vec2 dist=outset*a_extrude*scale;mediump float u=0.5*a_direction;mediump float t=1.0-abs(u);mediump vec2 offset2=offset*a_extrude*scale*normal.y*mat2(t,-u,u,t);vec4 projected_extrude=u_matrix*vec4(dist/u_ratio,0.0,0.0);gl_Position=u_matrix*vec4(pos+offset2/u_ratio,0.0,1.0)+projected_extrude;float extrude_length_without_perspective=length(dist);float extrude_length_with_perspective=length(projected_extrude.xy/gl_Position.w*u_units_to_pixels);v_gamma_scale=extrude_length_without_perspective/extrude_length_with_perspective;v_linesofar=a_linesofar;v_width2=vec2(outset,inset);v_width=floorwidth;}"),gr=_r("uniform lowp float u_device_pixel_ratio;uniform sampler2D u_image;uniform float u_sdfgamma;uniform float u_mix;varying vec2 v_normal;varying vec2 v_width2;varying vec2 v_tex_a;varying vec2 v_tex_b;varying float v_gamma_scale;\n#pragma mapbox: define highp vec4 color\n#pragma mapbox: define lowp float blur\n#pragma mapbox: define lowp float opacity\n#pragma mapbox: define mediump float width\n#pragma mapbox: define lowp float floorwidth\nvoid main() {\n#pragma mapbox: initialize highp vec4 color\n#pragma mapbox: initialize lowp float blur\n#pragma mapbox: initialize lowp float opacity\n#pragma mapbox: initialize mediump float width\n#pragma mapbox: initialize lowp float floorwidth\nfloat dist=length(v_normal)*v_width2.s;float blur2=(blur+1.0/u_device_pixel_ratio)*v_gamma_scale;float alpha=clamp(min(dist-(v_width2.t-blur2),v_width2.s-dist)/blur2,0.0,1.0);float sdfdist_a=texture2D(u_image,v_tex_a).a;float sdfdist_b=texture2D(u_image,v_tex_b).a;float sdfdist=mix(sdfdist_a,sdfdist_b,u_mix);alpha*=smoothstep(0.5-u_sdfgamma/floorwidth,0.5+u_sdfgamma/floorwidth,sdfdist);gl_FragColor=color*(alpha*opacity);\n#ifdef OVERDRAW_INSPECTOR\ngl_FragColor=vec4(1.0);\n#endif\n}","\n#define scale 0.015873016\n#define LINE_DISTANCE_SCALE 2.0\nattribute vec2 a_pos_normal;attribute vec4 a_data;uniform mat4 u_matrix;uniform mediump float u_ratio;uniform lowp float u_device_pixel_ratio;uniform vec2 u_patternscale_a;uniform float u_tex_y_a;uniform vec2 u_patternscale_b;uniform float u_tex_y_b;uniform vec2 u_units_to_pixels;varying vec2 v_normal;varying vec2 v_width2;varying vec2 v_tex_a;varying vec2 v_tex_b;varying float v_gamma_scale;\n#pragma mapbox: define highp vec4 color\n#pragma mapbox: define lowp float blur\n#pragma mapbox: define lowp float opacity\n#pragma mapbox: define mediump float gapwidth\n#pragma mapbox: define lowp float offset\n#pragma mapbox: define mediump float width\n#pragma mapbox: define lowp float floorwidth\nvoid main() {\n#pragma mapbox: initialize highp vec4 color\n#pragma mapbox: initialize lowp float blur\n#pragma mapbox: initialize lowp float opacity\n#pragma mapbox: initialize mediump float gapwidth\n#pragma mapbox: initialize lowp float offset\n#pragma mapbox: initialize mediump float width\n#pragma mapbox: initialize lowp float floorwidth\nfloat ANTIALIASING=1.0/u_device_pixel_ratio/2.0;vec2 a_extrude=a_data.xy-128.0;float a_direction=mod(a_data.z,4.0)-1.0;float a_linesofar=(floor(a_data.z/4.0)+a_data.w*64.0)*LINE_DISTANCE_SCALE;vec2 pos=floor(a_pos_normal*0.5);mediump vec2 normal=a_pos_normal-2.0*pos;normal.y=normal.y*2.0-1.0;v_normal=normal;gapwidth=gapwidth/2.0;float halfwidth=width/2.0;offset=-1.0*offset;float inset=gapwidth+(gapwidth > 0.0 ? ANTIALIASING : 0.0);float outset=gapwidth+halfwidth*(gapwidth > 0.0 ? 2.0 : 1.0)+(halfwidth==0.0 ? 0.0 : ANTIALIASING);mediump vec2 dist=outset*a_extrude*scale;mediump float u=0.5*a_direction;mediump float t=1.0-abs(u);mediump vec2 offset2=offset*a_extrude*scale*normal.y*mat2(t,-u,u,t);vec4 projected_extrude=u_matrix*vec4(dist/u_ratio,0.0,0.0);gl_Position=u_matrix*vec4(pos+offset2/u_ratio,0.0,1.0)+projected_extrude;float extrude_length_without_perspective=length(dist);float extrude_length_with_perspective=length(projected_extrude.xy/gl_Position.w*u_units_to_pixels);v_gamma_scale=extrude_length_without_perspective/extrude_length_with_perspective;v_tex_a=vec2(a_linesofar*u_patternscale_a.x/floorwidth,normal.y*u_patternscale_a.y+u_tex_y_a);v_tex_b=vec2(a_linesofar*u_patternscale_b.x/floorwidth,normal.y*u_patternscale_b.y+u_tex_y_b);v_width2=vec2(outset,inset);}"),yr=_r("uniform float u_fade_t;uniform float u_opacity;uniform sampler2D u_image0;uniform sampler2D u_image1;varying vec2 v_pos0;varying vec2 v_pos1;uniform float u_brightness_low;uniform float u_brightness_high;uniform float u_saturation_factor;uniform float u_contrast_factor;uniform vec3 u_spin_weights;void main() {vec4 color0=texture2D(u_image0,v_pos0);vec4 color1=texture2D(u_image1,v_pos1);if (color0.a > 0.0) {color0.rgb=color0.rgb/color0.a;}if (color1.a > 0.0) {color1.rgb=color1.rgb/color1.a;}vec4 color=mix(color0,color1,u_fade_t);color.a*=u_opacity;vec3 rgb=color.rgb;rgb=vec3(dot(rgb,u_spin_weights.xyz),dot(rgb,u_spin_weights.zxy),dot(rgb,u_spin_weights.yzx));float average=(color.r+color.g+color.b)/3.0;rgb+=(average-rgb)*u_saturation_factor;rgb=(rgb-0.5)*u_contrast_factor+0.5;vec3 u_high_vec=vec3(u_brightness_low,u_brightness_low,u_brightness_low);vec3 u_low_vec=vec3(u_brightness_high,u_brightness_high,u_brightness_high);gl_FragColor=vec4(mix(u_high_vec,u_low_vec,rgb)*color.a,color.a);\n#ifdef OVERDRAW_INSPECTOR\ngl_FragColor=vec4(1.0);\n#endif\n}","uniform mat4 u_matrix;uniform vec2 u_tl_parent;uniform float u_scale_parent;uniform float u_buffer_scale;attribute vec2 a_pos;attribute vec2 a_texture_pos;varying vec2 v_pos0;varying vec2 v_pos1;void main() {gl_Position=u_matrix*vec4(a_pos,0,1);v_pos0=(((a_texture_pos/8192.0)-0.5)/u_buffer_scale )+0.5;v_pos1=(v_pos0*u_scale_parent)+u_tl_parent;}"),mr=_r("uniform sampler2D u_texture;varying vec2 v_tex;varying float v_fade_opacity;\n#pragma mapbox: define lowp float opacity\nvoid main() {\n#pragma mapbox: initialize lowp float opacity\nlowp float alpha=opacity*v_fade_opacity;gl_FragColor=texture2D(u_texture,v_tex)*alpha;\n#ifdef OVERDRAW_INSPECTOR\ngl_FragColor=vec4(1.0);\n#endif\n}","const float PI=3.141592653589793;attribute vec4 a_pos_offset;attribute vec4 a_data;attribute vec4 a_pixeloffset;attribute vec3 a_projected_pos;attribute float a_fade_opacity;uniform bool u_is_size_zoom_constant;uniform bool u_is_size_feature_constant;uniform highp float u_size_t;uniform highp float u_size;uniform highp float u_camera_to_center_distance;uniform highp float u_pitch;uniform bool u_rotate_symbol;uniform highp float u_aspect_ratio;uniform float u_fade_change;uniform mat4 u_matrix;uniform mat4 u_label_plane_matrix;uniform mat4 u_coord_matrix;uniform bool u_is_text;uniform bool u_pitch_with_map;uniform vec2 u_texsize;varying vec2 v_tex;varying float v_fade_opacity;\n#pragma mapbox: define lowp float opacity\nvoid main() {\n#pragma mapbox: initialize lowp float opacity\nvec2 a_pos=a_pos_offset.xy;vec2 a_offset=a_pos_offset.zw;vec2 a_tex=a_data.xy;vec2 a_size=a_data.zw;float a_size_min=floor(a_size[0]*0.5);vec2 a_pxoffset=a_pixeloffset.xy;vec2 a_minFontScale=a_pixeloffset.zw/256.0;highp float segment_angle=-a_projected_pos[2];float size;if (!u_is_size_zoom_constant && !u_is_size_feature_constant) {size=mix(a_size_min,a_size[1],u_size_t)/128.0;} else if (u_is_size_zoom_constant && !u_is_size_feature_constant) {size=a_size_min/128.0;} else {size=u_size;}vec4 projectedPoint=u_matrix*vec4(a_pos,0,1);highp float camera_to_anchor_distance=projectedPoint.w;highp float distance_ratio=u_pitch_with_map ?\ncamera_to_anchor_distance/u_camera_to_center_distance :\nu_camera_to_center_distance/camera_to_anchor_distance;highp float perspective_ratio=clamp(0.5+0.5*distance_ratio,0.0,4.0);size*=perspective_ratio;float fontScale=u_is_text ? size/24.0 : size;highp float symbol_rotation=0.0;if (u_rotate_symbol) {vec4 offsetProjectedPoint=u_matrix*vec4(a_pos+vec2(1,0),0,1);vec2 a=projectedPoint.xy/projectedPoint.w;vec2 b=offsetProjectedPoint.xy/offsetProjectedPoint.w;symbol_rotation=atan((b.y-a.y)/u_aspect_ratio,b.x-a.x);}highp float angle_sin=sin(segment_angle+symbol_rotation);highp float angle_cos=cos(segment_angle+symbol_rotation);mat2 rotation_matrix=mat2(angle_cos,-1.0*angle_sin,angle_sin,angle_cos);vec4 projected_pos=u_label_plane_matrix*vec4(a_projected_pos.xy,0.0,1.0);gl_Position=u_coord_matrix*vec4(projected_pos.xy/projected_pos.w+rotation_matrix*(a_offset/32.0*max(a_minFontScale,fontScale)+a_pxoffset/16.0),0.0,1.0);v_tex=a_tex/u_texsize;vec2 fade_opacity=unpack_opacity(a_fade_opacity);float fade_change=fade_opacity[1] > 0.5 ? u_fade_change :-u_fade_change;v_fade_opacity=max(0.0,min(1.0,fade_opacity[0]+fade_change));}"),xr=_r("#define SDF_PX 8.0\nuniform bool u_is_halo;uniform sampler2D u_texture;uniform highp float u_gamma_scale;uniform lowp float u_device_pixel_ratio;uniform bool u_is_text;varying vec2 v_data0;varying vec3 v_data1;\n#pragma mapbox: define highp vec4 fill_color\n#pragma mapbox: define highp vec4 halo_color\n#pragma mapbox: define lowp float opacity\n#pragma mapbox: define lowp float halo_width\n#pragma mapbox: define lowp float halo_blur\nvoid main() {\n#pragma mapbox: initialize highp vec4 fill_color\n#pragma mapbox: initialize highp vec4 halo_color\n#pragma mapbox: initialize lowp float opacity\n#pragma mapbox: initialize lowp float halo_width\n#pragma mapbox: initialize lowp float halo_blur\nfloat EDGE_GAMMA=0.105/u_device_pixel_ratio;vec2 tex=v_data0.xy;float gamma_scale=v_data1.x;float size=v_data1.y;float fade_opacity=v_data1[2];float fontScale=u_is_text ? size/24.0 : size;lowp vec4 color=fill_color;highp float gamma=EDGE_GAMMA/(fontScale*u_gamma_scale);lowp float buff=(256.0-64.0)/256.0;if (u_is_halo) {color=halo_color;gamma=(halo_blur*1.19/SDF_PX+EDGE_GAMMA)/(fontScale*u_gamma_scale);buff=(6.0-halo_width/fontScale)/SDF_PX;}lowp float dist=texture2D(u_texture,tex).a;highp float gamma_scaled=gamma*gamma_scale;highp float alpha=smoothstep(buff-gamma_scaled,buff+gamma_scaled,dist);gl_FragColor=color*(alpha*opacity*fade_opacity);\n#ifdef OVERDRAW_INSPECTOR\ngl_FragColor=vec4(1.0);\n#endif\n}","const float PI=3.141592653589793;attribute vec4 a_pos_offset;attribute vec4 a_data;attribute vec4 a_pixeloffset;attribute vec3 a_projected_pos;attribute float a_fade_opacity;uniform bool u_is_size_zoom_constant;uniform bool u_is_size_feature_constant;uniform highp float u_size_t;uniform highp float u_size;uniform mat4 u_matrix;uniform mat4 u_label_plane_matrix;uniform mat4 u_coord_matrix;uniform bool u_is_text;uniform bool u_pitch_with_map;uniform highp float u_pitch;uniform bool u_rotate_symbol;uniform highp float u_aspect_ratio;uniform highp float u_camera_to_center_distance;uniform float u_fade_change;uniform vec2 u_texsize;varying vec2 v_data0;varying vec3 v_data1;\n#pragma mapbox: define highp vec4 fill_color\n#pragma mapbox: define highp vec4 halo_color\n#pragma mapbox: define lowp float opacity\n#pragma mapbox: define lowp float halo_width\n#pragma mapbox: define lowp float halo_blur\nvoid main() {\n#pragma mapbox: initialize highp vec4 fill_color\n#pragma mapbox: initialize highp vec4 halo_color\n#pragma mapbox: initialize lowp float opacity\n#pragma mapbox: initialize lowp float halo_width\n#pragma mapbox: initialize lowp float halo_blur\nvec2 a_pos=a_pos_offset.xy;vec2 a_offset=a_pos_offset.zw;vec2 a_tex=a_data.xy;vec2 a_size=a_data.zw;float a_size_min=floor(a_size[0]*0.5);vec2 a_pxoffset=a_pixeloffset.xy;highp float segment_angle=-a_projected_pos[2];float size;if (!u_is_size_zoom_constant && !u_is_size_feature_constant) {size=mix(a_size_min,a_size[1],u_size_t)/128.0;} else if (u_is_size_zoom_constant && !u_is_size_feature_constant) {size=a_size_min/128.0;} else {size=u_size;}vec4 projectedPoint=u_matrix*vec4(a_pos,0,1);highp float camera_to_anchor_distance=projectedPoint.w;highp float distance_ratio=u_pitch_with_map ?\ncamera_to_anchor_distance/u_camera_to_center_distance :\nu_camera_to_center_distance/camera_to_anchor_distance;highp float perspective_ratio=clamp(0.5+0.5*distance_ratio,0.0,4.0);size*=perspective_ratio;float fontScale=u_is_text ? size/24.0 : size;highp float symbol_rotation=0.0;if (u_rotate_symbol) {vec4 offsetProjectedPoint=u_matrix*vec4(a_pos+vec2(1,0),0,1);vec2 a=projectedPoint.xy/projectedPoint.w;vec2 b=offsetProjectedPoint.xy/offsetProjectedPoint.w;symbol_rotation=atan((b.y-a.y)/u_aspect_ratio,b.x-a.x);}highp float angle_sin=sin(segment_angle+symbol_rotation);highp float angle_cos=cos(segment_angle+symbol_rotation);mat2 rotation_matrix=mat2(angle_cos,-1.0*angle_sin,angle_sin,angle_cos);vec4 projected_pos=u_label_plane_matrix*vec4(a_projected_pos.xy,0.0,1.0);gl_Position=u_coord_matrix*vec4(projected_pos.xy/projected_pos.w+rotation_matrix*(a_offset/32.0*fontScale+a_pxoffset),0.0,1.0);float gamma_scale=gl_Position.w;vec2 fade_opacity=unpack_opacity(a_fade_opacity);float fade_change=fade_opacity[1] > 0.5 ? u_fade_change :-u_fade_change;float interpolated_fade_opacity=max(0.0,min(1.0,fade_opacity[0]+fade_change));v_data0=a_tex/u_texsize;v_data1=vec3(gamma_scale,size,interpolated_fade_opacity);}"),br=_r("#define SDF_PX 8.0\n#define SDF 1.0\n#define ICON 0.0\nuniform bool u_is_halo;uniform sampler2D u_texture;uniform sampler2D u_texture_icon;uniform highp float u_gamma_scale;uniform lowp float u_device_pixel_ratio;varying vec4 v_data0;varying vec4 v_data1;\n#pragma mapbox: define highp vec4 fill_color\n#pragma mapbox: define highp vec4 halo_color\n#pragma mapbox: define lowp float opacity\n#pragma mapbox: define lowp float halo_width\n#pragma mapbox: define lowp float halo_blur\nvoid main() {\n#pragma mapbox: initialize highp vec4 fill_color\n#pragma mapbox: initialize highp vec4 halo_color\n#pragma mapbox: initialize lowp float opacity\n#pragma mapbox: initialize lowp float halo_width\n#pragma mapbox: initialize lowp float halo_blur\nfloat fade_opacity=v_data1[2];if (v_data1.w==ICON) {vec2 tex_icon=v_data0.zw;lowp float alpha=opacity*fade_opacity;gl_FragColor=texture2D(u_texture_icon,tex_icon)*alpha;\n#ifdef OVERDRAW_INSPECTOR\ngl_FragColor=vec4(1.0);\n#endif\nreturn;}vec2 tex=v_data0.xy;float EDGE_GAMMA=0.105/u_device_pixel_ratio;float gamma_scale=v_data1.x;float size=v_data1.y;float fontScale=size/24.0;lowp vec4 color=fill_color;highp float gamma=EDGE_GAMMA/(fontScale*u_gamma_scale);lowp float buff=(256.0-64.0)/256.0;if (u_is_halo) {color=halo_color;gamma=(halo_blur*1.19/SDF_PX+EDGE_GAMMA)/(fontScale*u_gamma_scale);buff=(6.0-halo_width/fontScale)/SDF_PX;}lowp float dist=texture2D(u_texture,tex).a;highp float gamma_scaled=gamma*gamma_scale;highp float alpha=smoothstep(buff-gamma_scaled,buff+gamma_scaled,dist);gl_FragColor=color*(alpha*opacity*fade_opacity);\n#ifdef OVERDRAW_INSPECTOR\ngl_FragColor=vec4(1.0);\n#endif\n}","const float PI=3.141592653589793;attribute vec4 a_pos_offset;attribute vec4 a_data;attribute vec3 a_projected_pos;attribute float a_fade_opacity;uniform bool u_is_size_zoom_constant;uniform bool u_is_size_feature_constant;uniform highp float u_size_t;uniform highp float u_size;uniform mat4 u_matrix;uniform mat4 u_label_plane_matrix;uniform mat4 u_coord_matrix;uniform bool u_is_text;uniform bool u_pitch_with_map;uniform highp float u_pitch;uniform bool u_rotate_symbol;uniform highp float u_aspect_ratio;uniform highp float u_camera_to_center_distance;uniform float u_fade_change;uniform vec2 u_texsize;uniform vec2 u_texsize_icon;varying vec4 v_data0;varying vec4 v_data1;\n#pragma mapbox: define highp vec4 fill_color\n#pragma mapbox: define highp vec4 halo_color\n#pragma mapbox: define lowp float opacity\n#pragma mapbox: define lowp float halo_width\n#pragma mapbox: define lowp float halo_blur\nvoid main() {\n#pragma mapbox: initialize highp vec4 fill_color\n#pragma mapbox: initialize highp vec4 halo_color\n#pragma mapbox: initialize lowp float opacity\n#pragma mapbox: initialize lowp float halo_width\n#pragma mapbox: initialize lowp float halo_blur\nvec2 a_pos=a_pos_offset.xy;vec2 a_offset=a_pos_offset.zw;vec2 a_tex=a_data.xy;vec2 a_size=a_data.zw;float a_size_min=floor(a_size[0]*0.5);float is_sdf=a_size[0]-2.0*a_size_min;highp float segment_angle=-a_projected_pos[2];float size;if (!u_is_size_zoom_constant && !u_is_size_feature_constant) {size=mix(a_size_min,a_size[1],u_size_t)/128.0;} else if (u_is_size_zoom_constant && !u_is_size_feature_constant) {size=a_size_min/128.0;} else {size=u_size;}vec4 projectedPoint=u_matrix*vec4(a_pos,0,1);highp float camera_to_anchor_distance=projectedPoint.w;highp float distance_ratio=u_pitch_with_map ?\ncamera_to_anchor_distance/u_camera_to_center_distance :\nu_camera_to_center_distance/camera_to_anchor_distance;highp float perspective_ratio=clamp(0.5+0.5*distance_ratio,0.0,4.0);size*=perspective_ratio;float fontScale=size/24.0;highp float symbol_rotation=0.0;if (u_rotate_symbol) {vec4 offsetProjectedPoint=u_matrix*vec4(a_pos+vec2(1,0),0,1);vec2 a=projectedPoint.xy/projectedPoint.w;vec2 b=offsetProjectedPoint.xy/offsetProjectedPoint.w;symbol_rotation=atan((b.y-a.y)/u_aspect_ratio,b.x-a.x);}highp float angle_sin=sin(segment_angle+symbol_rotation);highp float angle_cos=cos(segment_angle+symbol_rotation);mat2 rotation_matrix=mat2(angle_cos,-1.0*angle_sin,angle_sin,angle_cos);vec4 projected_pos=u_label_plane_matrix*vec4(a_projected_pos.xy,0.0,1.0);gl_Position=u_coord_matrix*vec4(projected_pos.xy/projected_pos.w+rotation_matrix*(a_offset/32.0*fontScale),0.0,1.0);float gamma_scale=gl_Position.w;vec2 fade_opacity=unpack_opacity(a_fade_opacity);float fade_change=fade_opacity[1] > 0.5 ? u_fade_change :-u_fade_change;float interpolated_fade_opacity=max(0.0,min(1.0,fade_opacity[0]+fade_change));v_data0.xy=a_tex/u_texsize;v_data0.zw=a_tex/u_texsize_icon;v_data1=vec4(gamma_scale,size,interpolated_fade_opacity,is_sdf);}");function _r(t,e){var r=/#pragma mapbox: ([\w]+) ([\w]+) ([\w]+) ([\w]+)/g,n=e.match(/attribute ([\w]+) ([\w]+)/g),i=t.match(/uniform ([\w]+) ([\w]+)([\s]*)([\w]*)/g),a=e.match(/uniform ([\w]+) ([\w]+)([\s]*)([\w]*)/g),o=a?a.concat(i):i,s={};return{fragmentSource:t=t.replace(r,(function(t,e,r,n,i){return s[i]=!0,"define"===e?"\n#ifndef HAS_UNIFORM_u_"+i+"\nvarying "+r+" "+n+" "+i+";\n#else\nuniform "+r+" "+n+" u_"+i+";\n#endif\n":"\n#ifdef HAS_UNIFORM_u_"+i+"\n "+r+" "+n+" "+i+" = u_"+i+";\n#endif\n"})),vertexSource:e=e.replace(r,(function(t,e,r,n,i){var a="float"===n?"vec2":"vec4",o=i.match(/color/)?"color":a;return s[i]?"define"===e?"\n#ifndef HAS_UNIFORM_u_"+i+"\nuniform lowp float u_"+i+"_t;\nattribute "+r+" "+a+" a_"+i+";\nvarying "+r+" "+n+" "+i+";\n#else\nuniform "+r+" "+n+" u_"+i+";\n#endif\n":"vec4"===o?"\n#ifndef HAS_UNIFORM_u_"+i+"\n "+i+" = a_"+i+";\n#else\n "+r+" "+n+" "+i+" = u_"+i+";\n#endif\n":"\n#ifndef HAS_UNIFORM_u_"+i+"\n "+i+" = unpack_mix_"+o+"(a_"+i+", u_"+i+"_t);\n#else\n "+r+" "+n+" "+i+" = u_"+i+";\n#endif\n":"define"===e?"\n#ifndef HAS_UNIFORM_u_"+i+"\nuniform lowp float u_"+i+"_t;\nattribute "+r+" "+a+" a_"+i+";\n#else\nuniform "+r+" "+n+" u_"+i+";\n#endif\n":"vec4"===o?"\n#ifndef HAS_UNIFORM_u_"+i+"\n "+r+" "+n+" "+i+" = a_"+i+";\n#else\n "+r+" "+n+" "+i+" = u_"+i+";\n#endif\n":"\n#ifndef HAS_UNIFORM_u_"+i+"\n "+r+" "+n+" "+i+" = unpack_mix_"+o+"(a_"+i+", u_"+i+"_t);\n#else\n "+r+" "+n+" "+i+" = u_"+i+";\n#endif\n"})),staticAttributes:n,staticUniforms:o}}var wr=Object.freeze({__proto__:null,prelude:Ze,background:Ke,backgroundPattern:Je,circle:$e,clippingMask:Qe,heatmap:tr,heatmapTexture:er,collisionBox:rr,collisionCircle:nr,debug:ir,fill:ar,fillOutline:or,fillOutlinePattern:sr,fillPattern:lr,fillExtrusion:ur,fillExtrusionPattern:cr,hillshadePrepare:fr,hillshade:hr,line:pr,lineGradient:dr,linePattern:vr,lineSDF:gr,raster:yr,symbolIcon:mr,symbolSDF:xr,symbolTextAndIcon:br}),Tr=function(){this.boundProgram=null,this.boundLayoutVertexBuffer=null,this.boundPaintVertexBuffers=[],this.boundIndexBuffer=null,this.boundVertexOffset=null,this.boundDynamicVertexBuffer=null,this.vao=null};function kr(t){for(var e=[],r=0;r>16,s>>16],u_pixel_coord_lower:[65535&o,65535&s]}}Ar.prototype.draw=function(t,e,r,n,i,a,o,s,l,u,c,f,h,p,d,v){var g,y=t.gl;if(!this.failedToCreate){for(var m in t.program.set(this.program),t.setDepthMode(r),t.setStencilMode(n),t.setColorMode(i),t.setCullFace(a),this.fixedUniforms)this.fixedUniforms[m].set(o[m]);p&&p.setUniforms(t,this.binderUniforms,f,{zoom:h});for(var x=(g={},g[y.LINES]=2,g[y.TRIANGLES]=3,g[y.LINE_STRIP]=1,g)[e],b=0,_=c.get();b<_.length;b+=1){var w=_[b],T=w.vaos||(w.vaos={});(T[s]||(T[s]=new Tr)).bind(t,this,l,p?p.getPaintVertexBuffers():[],u,w.vertexOffset,d,v),y.drawElements(e,w.primitiveLength*x,y.UNSIGNED_SHORT,w.primitiveOffset*x*2)}}};var Sr=function(e,r,n,i){var a=r.style.light,o=a.properties.get("position"),s=[o.x,o.y,o.z],l=t.create$1();"viewport"===a.properties.get("anchor")&&t.fromRotation(l,-r.transform.angle),t.transformMat3(s,s,l);var u=a.properties.get("color");return{u_matrix:e,u_lightpos:s,u_lightintensity:a.properties.get("intensity"),u_lightcolor:[u.r,u.g,u.b],u_vertical_gradient:+n,u_opacity:i}},Er=function(e,r,n,i,a,o,s){return t.extend(Sr(e,r,n,i),Mr(o,r,s),{u_height_factor:-Math.pow(2,a.overscaledZ)/s.tileSize/8})},Lr=function(t){return{u_matrix:t}},Cr=function(e,r,n,i){return t.extend(Lr(e),Mr(n,r,i))},Pr=function(t,e){return{u_matrix:t,u_world:e}},Or=function(e,r,n,i,a){return t.extend(Cr(e,r,n,i),{u_world:a})},Ir=function(e,r,n,i){var a,o,s=e.transform;if("map"===i.paint.get("circle-pitch-alignment")){var l=ge(n,1,s.zoom);a=!0,o=[l,l]}else a=!1,o=s.pixelsToGLUnits;return{u_camera_to_center_distance:s.cameraToCenterDistance,u_scale_with_map:+("map"===i.paint.get("circle-pitch-scale")),u_matrix:e.translatePosMatrix(r.posMatrix,n,i.paint.get("circle-translate"),i.paint.get("circle-translate-anchor")),u_pitch_with_map:+a,u_device_pixel_ratio:t.browser.devicePixelRatio,u_extrude_scale:o}},Dr=function(t,e,r){var n=ge(r,1,e.zoom),i=Math.pow(2,e.zoom-r.tileID.overscaledZ),a=r.tileID.overscaleFactor();return{u_matrix:t,u_camera_to_center_distance:e.cameraToCenterDistance,u_pixels_to_tile_units:n,u_extrude_scale:[e.pixelsToGLUnits[0]/(n*i),e.pixelsToGLUnits[1]/(n*i)],u_overscale_factor:a}},zr=function(t,e,r){return{u_matrix:t,u_inv_matrix:e,u_camera_to_center_distance:r.cameraToCenterDistance,u_viewport_size:[r.width,r.height]}},Rr=function(t,e,r){return void 0===r&&(r=1),{u_matrix:t,u_color:e,u_overlay:0,u_overlay_scale:r}},Fr=function(t){return{u_matrix:t}},Br=function(t,e,r,n){return{u_matrix:t,u_extrude_scale:ge(e,1,r),u_intensity:n}},Nr=function(e,r,n,i){var a=t.create();t.ortho(a,0,e.width,e.height,0,0,1);var o=e.context.gl;return{u_matrix:a,u_world:[o.drawingBufferWidth,o.drawingBufferHeight],u_image:n,u_color_ramp:i,u_opacity:r.paint.get("heatmap-opacity")}},jr=function(e,r,n){var i=n.paint.get("hillshade-shadow-color"),a=n.paint.get("hillshade-highlight-color"),o=n.paint.get("hillshade-accent-color"),s=n.paint.get("hillshade-illumination-direction")*(Math.PI/180);"viewport"===n.paint.get("hillshade-illumination-anchor")&&(s-=e.transform.angle);var l,u,c,f=!e.options.moving;return{u_matrix:e.transform.calculatePosMatrix(r.tileID.toUnwrapped(),f),u_image:0,u_latrange:(l=r.tileID,u=Math.pow(2,l.canonical.z),c=l.canonical.y,[new t.MercatorCoordinate(0,c/u).toLngLat().lat,new t.MercatorCoordinate(0,(c+1)/u).toLngLat().lat]),u_light:[n.paint.get("hillshade-exaggeration"),s],u_shadow:i,u_highlight:a,u_accent:o}},Ur=function(e,r){var n=r.stride,i=t.create();return t.ortho(i,0,t.EXTENT,-t.EXTENT,0,0,1),t.translate(i,i,[0,-t.EXTENT,0]),{u_matrix:i,u_image:1,u_dimension:[n,n],u_zoom:e.overscaledZ,u_unpack:r.getUnpackVector()}};var Vr=function(e,r,n){var i=e.transform;return{u_matrix:Yr(e,r,n),u_ratio:1/ge(r,1,i.zoom),u_device_pixel_ratio:t.browser.devicePixelRatio,u_units_to_pixels:[1/i.pixelsToGLUnits[0],1/i.pixelsToGLUnits[1]]}},qr=function(e,r,n,i){return t.extend(Vr(e,r,n),{u_image:0,u_image_height:i})},Hr=function(e,r,n,i){var a=e.transform,o=Wr(r,a);return{u_matrix:Yr(e,r,n),u_texsize:r.imageAtlasTexture.size,u_ratio:1/ge(r,1,a.zoom),u_device_pixel_ratio:t.browser.devicePixelRatio,u_image:0,u_scale:[o,i.fromScale,i.toScale],u_fade:i.t,u_units_to_pixels:[1/a.pixelsToGLUnits[0],1/a.pixelsToGLUnits[1]]}},Gr=function(e,r,n,i,a){var o=e.transform,s=e.lineAtlas,l=Wr(r,o),u="round"===n.layout.get("line-cap"),c=s.getDash(i.from,u),f=s.getDash(i.to,u),h=c.width*a.fromScale,p=f.width*a.toScale;return t.extend(Vr(e,r,n),{u_patternscale_a:[l/h,-c.height/2],u_patternscale_b:[l/p,-f.height/2],u_sdfgamma:s.width/(256*Math.min(h,p)*t.browser.devicePixelRatio)/2,u_image:0,u_tex_y_a:c.y,u_tex_y_b:f.y,u_mix:a.t})};function Wr(t,e){return 1/ge(t,1,e.tileZoom)}function Yr(t,e,r){return t.translatePosMatrix(e.tileID.posMatrix,e,r.paint.get("line-translate"),r.paint.get("line-translate-anchor"))}var Xr=function(t,e,r,n,i){return{u_matrix:t,u_tl_parent:e,u_scale_parent:r,u_buffer_scale:1,u_fade_t:n.mix,u_opacity:n.opacity*i.paint.get("raster-opacity"),u_image0:0,u_image1:1,u_brightness_low:i.paint.get("raster-brightness-min"),u_brightness_high:i.paint.get("raster-brightness-max"),u_saturation_factor:(o=i.paint.get("raster-saturation"),o>0?1-1/(1.001-o):-o),u_contrast_factor:(a=i.paint.get("raster-contrast"),a>0?1/(1-a):1+a),u_spin_weights:Zr(i.paint.get("raster-hue-rotate"))};var a,o};function Zr(t){t*=Math.PI/180;var e=Math.sin(t),r=Math.cos(t);return[(2*r+1)/3,(-Math.sqrt(3)*e-r+1)/3,(Math.sqrt(3)*e-r+1)/3]}var Kr,Jr=function(t,e,r,n,i,a,o,s,l,u){var c=i.transform;return{u_is_size_zoom_constant:+("constant"===t||"source"===t),u_is_size_feature_constant:+("constant"===t||"camera"===t),u_size_t:e?e.uSizeT:0,u_size:e?e.uSize:0,u_camera_to_center_distance:c.cameraToCenterDistance,u_pitch:c.pitch/360*2*Math.PI,u_rotate_symbol:+r,u_aspect_ratio:c.width/c.height,u_fade_change:i.options.fadeDuration?i.symbolFadeChange:1,u_matrix:a,u_label_plane_matrix:o,u_coord_matrix:s,u_is_text:+l,u_pitch_with_map:+n,u_texsize:u,u_texture:0}},$r=function(e,r,n,i,a,o,s,l,u,c,f){var h=a.transform;return t.extend(Jr(e,r,n,i,a,o,s,l,u,c),{u_gamma_scale:i?Math.cos(h._pitch)*h.cameraToCenterDistance:1,u_device_pixel_ratio:t.browser.devicePixelRatio,u_is_halo:+f})},Qr=function(e,r,n,i,a,o,s,l,u,c){return t.extend($r(e,r,n,i,a,o,s,l,!0,u,!0),{u_texsize_icon:c,u_texture_icon:1})},tn=function(t,e,r){return{u_matrix:t,u_opacity:e,u_color:r}},en=function(e,r,n,i,a,o){return t.extend(function(t,e,r,n){var i=r.imageManager.getPattern(t.from.toString()),a=r.imageManager.getPattern(t.to.toString()),o=r.imageManager.getPixelSize(),s=o.width,l=o.height,u=Math.pow(2,n.tileID.overscaledZ),c=n.tileSize*Math.pow(2,r.transform.tileZoom)/u,f=c*(n.tileID.canonical.x+n.tileID.wrap*u),h=c*n.tileID.canonical.y;return{u_image:0,u_pattern_tl_a:i.tl,u_pattern_br_a:i.br,u_pattern_tl_b:a.tl,u_pattern_br_b:a.br,u_texsize:[s,l],u_mix:e.t,u_pattern_size_a:i.displaySize,u_pattern_size_b:a.displaySize,u_scale_a:e.fromScale,u_scale_b:e.toScale,u_tile_units_to_pixels:1/ge(n,1,r.transform.tileZoom),u_pixel_coord_upper:[f>>16,h>>16],u_pixel_coord_lower:[65535&f,65535&h]}}(i,o,n,a),{u_matrix:e,u_opacity:r})},rn={fillExtrusion:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_lightpos:new t.Uniform3f(e,r.u_lightpos),u_lightintensity:new t.Uniform1f(e,r.u_lightintensity),u_lightcolor:new t.Uniform3f(e,r.u_lightcolor),u_vertical_gradient:new t.Uniform1f(e,r.u_vertical_gradient),u_opacity:new t.Uniform1f(e,r.u_opacity)}},fillExtrusionPattern:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_lightpos:new t.Uniform3f(e,r.u_lightpos),u_lightintensity:new t.Uniform1f(e,r.u_lightintensity),u_lightcolor:new t.Uniform3f(e,r.u_lightcolor),u_vertical_gradient:new t.Uniform1f(e,r.u_vertical_gradient),u_height_factor:new t.Uniform1f(e,r.u_height_factor),u_image:new t.Uniform1i(e,r.u_image),u_texsize:new t.Uniform2f(e,r.u_texsize),u_pixel_coord_upper:new t.Uniform2f(e,r.u_pixel_coord_upper),u_pixel_coord_lower:new t.Uniform2f(e,r.u_pixel_coord_lower),u_scale:new t.Uniform3f(e,r.u_scale),u_fade:new t.Uniform1f(e,r.u_fade),u_opacity:new t.Uniform1f(e,r.u_opacity)}},fill:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix)}},fillPattern:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_image:new t.Uniform1i(e,r.u_image),u_texsize:new t.Uniform2f(e,r.u_texsize),u_pixel_coord_upper:new t.Uniform2f(e,r.u_pixel_coord_upper),u_pixel_coord_lower:new t.Uniform2f(e,r.u_pixel_coord_lower),u_scale:new t.Uniform3f(e,r.u_scale),u_fade:new t.Uniform1f(e,r.u_fade)}},fillOutline:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_world:new t.Uniform2f(e,r.u_world)}},fillOutlinePattern:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_world:new t.Uniform2f(e,r.u_world),u_image:new t.Uniform1i(e,r.u_image),u_texsize:new t.Uniform2f(e,r.u_texsize),u_pixel_coord_upper:new t.Uniform2f(e,r.u_pixel_coord_upper),u_pixel_coord_lower:new t.Uniform2f(e,r.u_pixel_coord_lower),u_scale:new t.Uniform3f(e,r.u_scale),u_fade:new t.Uniform1f(e,r.u_fade)}},circle:function(e,r){return{u_camera_to_center_distance:new t.Uniform1f(e,r.u_camera_to_center_distance),u_scale_with_map:new t.Uniform1i(e,r.u_scale_with_map),u_pitch_with_map:new t.Uniform1i(e,r.u_pitch_with_map),u_extrude_scale:new t.Uniform2f(e,r.u_extrude_scale),u_device_pixel_ratio:new t.Uniform1f(e,r.u_device_pixel_ratio),u_matrix:new t.UniformMatrix4f(e,r.u_matrix)}},collisionBox:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_camera_to_center_distance:new t.Uniform1f(e,r.u_camera_to_center_distance),u_pixels_to_tile_units:new t.Uniform1f(e,r.u_pixels_to_tile_units),u_extrude_scale:new t.Uniform2f(e,r.u_extrude_scale),u_overscale_factor:new t.Uniform1f(e,r.u_overscale_factor)}},collisionCircle:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_inv_matrix:new t.UniformMatrix4f(e,r.u_inv_matrix),u_camera_to_center_distance:new t.Uniform1f(e,r.u_camera_to_center_distance),u_viewport_size:new t.Uniform2f(e,r.u_viewport_size)}},debug:function(e,r){return{u_color:new t.UniformColor(e,r.u_color),u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_overlay:new t.Uniform1i(e,r.u_overlay),u_overlay_scale:new t.Uniform1f(e,r.u_overlay_scale)}},clippingMask:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix)}},heatmap:function(e,r){return{u_extrude_scale:new t.Uniform1f(e,r.u_extrude_scale),u_intensity:new t.Uniform1f(e,r.u_intensity),u_matrix:new t.UniformMatrix4f(e,r.u_matrix)}},heatmapTexture:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_world:new t.Uniform2f(e,r.u_world),u_image:new t.Uniform1i(e,r.u_image),u_color_ramp:new t.Uniform1i(e,r.u_color_ramp),u_opacity:new t.Uniform1f(e,r.u_opacity)}},hillshade:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_image:new t.Uniform1i(e,r.u_image),u_latrange:new t.Uniform2f(e,r.u_latrange),u_light:new t.Uniform2f(e,r.u_light),u_shadow:new t.UniformColor(e,r.u_shadow),u_highlight:new t.UniformColor(e,r.u_highlight),u_accent:new t.UniformColor(e,r.u_accent)}},hillshadePrepare:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_image:new t.Uniform1i(e,r.u_image),u_dimension:new t.Uniform2f(e,r.u_dimension),u_zoom:new t.Uniform1f(e,r.u_zoom),u_unpack:new t.Uniform4f(e,r.u_unpack)}},line:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_ratio:new t.Uniform1f(e,r.u_ratio),u_device_pixel_ratio:new t.Uniform1f(e,r.u_device_pixel_ratio),u_units_to_pixels:new t.Uniform2f(e,r.u_units_to_pixels)}},lineGradient:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_ratio:new t.Uniform1f(e,r.u_ratio),u_device_pixel_ratio:new t.Uniform1f(e,r.u_device_pixel_ratio),u_units_to_pixels:new t.Uniform2f(e,r.u_units_to_pixels),u_image:new t.Uniform1i(e,r.u_image),u_image_height:new t.Uniform1f(e,r.u_image_height)}},linePattern:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_texsize:new t.Uniform2f(e,r.u_texsize),u_ratio:new t.Uniform1f(e,r.u_ratio),u_device_pixel_ratio:new t.Uniform1f(e,r.u_device_pixel_ratio),u_image:new t.Uniform1i(e,r.u_image),u_units_to_pixels:new t.Uniform2f(e,r.u_units_to_pixels),u_scale:new t.Uniform3f(e,r.u_scale),u_fade:new t.Uniform1f(e,r.u_fade)}},lineSDF:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_ratio:new t.Uniform1f(e,r.u_ratio),u_device_pixel_ratio:new t.Uniform1f(e,r.u_device_pixel_ratio),u_units_to_pixels:new t.Uniform2f(e,r.u_units_to_pixels),u_patternscale_a:new t.Uniform2f(e,r.u_patternscale_a),u_patternscale_b:new t.Uniform2f(e,r.u_patternscale_b),u_sdfgamma:new t.Uniform1f(e,r.u_sdfgamma),u_image:new t.Uniform1i(e,r.u_image),u_tex_y_a:new t.Uniform1f(e,r.u_tex_y_a),u_tex_y_b:new t.Uniform1f(e,r.u_tex_y_b),u_mix:new t.Uniform1f(e,r.u_mix)}},raster:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_tl_parent:new t.Uniform2f(e,r.u_tl_parent),u_scale_parent:new t.Uniform1f(e,r.u_scale_parent),u_buffer_scale:new t.Uniform1f(e,r.u_buffer_scale),u_fade_t:new t.Uniform1f(e,r.u_fade_t),u_opacity:new t.Uniform1f(e,r.u_opacity),u_image0:new t.Uniform1i(e,r.u_image0),u_image1:new t.Uniform1i(e,r.u_image1),u_brightness_low:new t.Uniform1f(e,r.u_brightness_low),u_brightness_high:new t.Uniform1f(e,r.u_brightness_high),u_saturation_factor:new t.Uniform1f(e,r.u_saturation_factor),u_contrast_factor:new t.Uniform1f(e,r.u_contrast_factor),u_spin_weights:new t.Uniform3f(e,r.u_spin_weights)}},symbolIcon:function(e,r){return{u_is_size_zoom_constant:new t.Uniform1i(e,r.u_is_size_zoom_constant),u_is_size_feature_constant:new t.Uniform1i(e,r.u_is_size_feature_constant),u_size_t:new t.Uniform1f(e,r.u_size_t),u_size:new t.Uniform1f(e,r.u_size),u_camera_to_center_distance:new t.Uniform1f(e,r.u_camera_to_center_distance),u_pitch:new t.Uniform1f(e,r.u_pitch),u_rotate_symbol:new t.Uniform1i(e,r.u_rotate_symbol),u_aspect_ratio:new t.Uniform1f(e,r.u_aspect_ratio),u_fade_change:new t.Uniform1f(e,r.u_fade_change),u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_label_plane_matrix:new t.UniformMatrix4f(e,r.u_label_plane_matrix),u_coord_matrix:new t.UniformMatrix4f(e,r.u_coord_matrix),u_is_text:new t.Uniform1i(e,r.u_is_text),u_pitch_with_map:new t.Uniform1i(e,r.u_pitch_with_map),u_texsize:new t.Uniform2f(e,r.u_texsize),u_texture:new t.Uniform1i(e,r.u_texture)}},symbolSDF:function(e,r){return{u_is_size_zoom_constant:new t.Uniform1i(e,r.u_is_size_zoom_constant),u_is_size_feature_constant:new t.Uniform1i(e,r.u_is_size_feature_constant),u_size_t:new t.Uniform1f(e,r.u_size_t),u_size:new t.Uniform1f(e,r.u_size),u_camera_to_center_distance:new t.Uniform1f(e,r.u_camera_to_center_distance),u_pitch:new t.Uniform1f(e,r.u_pitch),u_rotate_symbol:new t.Uniform1i(e,r.u_rotate_symbol),u_aspect_ratio:new t.Uniform1f(e,r.u_aspect_ratio),u_fade_change:new t.Uniform1f(e,r.u_fade_change),u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_label_plane_matrix:new t.UniformMatrix4f(e,r.u_label_plane_matrix),u_coord_matrix:new t.UniformMatrix4f(e,r.u_coord_matrix),u_is_text:new t.Uniform1i(e,r.u_is_text),u_pitch_with_map:new t.Uniform1i(e,r.u_pitch_with_map),u_texsize:new t.Uniform2f(e,r.u_texsize),u_texture:new t.Uniform1i(e,r.u_texture),u_gamma_scale:new t.Uniform1f(e,r.u_gamma_scale),u_device_pixel_ratio:new t.Uniform1f(e,r.u_device_pixel_ratio),u_is_halo:new t.Uniform1i(e,r.u_is_halo)}},symbolTextAndIcon:function(e,r){return{u_is_size_zoom_constant:new t.Uniform1i(e,r.u_is_size_zoom_constant),u_is_size_feature_constant:new t.Uniform1i(e,r.u_is_size_feature_constant),u_size_t:new t.Uniform1f(e,r.u_size_t),u_size:new t.Uniform1f(e,r.u_size),u_camera_to_center_distance:new t.Uniform1f(e,r.u_camera_to_center_distance),u_pitch:new t.Uniform1f(e,r.u_pitch),u_rotate_symbol:new t.Uniform1i(e,r.u_rotate_symbol),u_aspect_ratio:new t.Uniform1f(e,r.u_aspect_ratio),u_fade_change:new t.Uniform1f(e,r.u_fade_change),u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_label_plane_matrix:new t.UniformMatrix4f(e,r.u_label_plane_matrix),u_coord_matrix:new t.UniformMatrix4f(e,r.u_coord_matrix),u_is_text:new t.Uniform1i(e,r.u_is_text),u_pitch_with_map:new t.Uniform1i(e,r.u_pitch_with_map),u_texsize:new t.Uniform2f(e,r.u_texsize),u_texsize_icon:new t.Uniform2f(e,r.u_texsize_icon),u_texture:new t.Uniform1i(e,r.u_texture),u_texture_icon:new t.Uniform1i(e,r.u_texture_icon),u_gamma_scale:new t.Uniform1f(e,r.u_gamma_scale),u_device_pixel_ratio:new t.Uniform1f(e,r.u_device_pixel_ratio),u_is_halo:new t.Uniform1i(e,r.u_is_halo)}},background:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_opacity:new t.Uniform1f(e,r.u_opacity),u_color:new t.UniformColor(e,r.u_color)}},backgroundPattern:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_opacity:new t.Uniform1f(e,r.u_opacity),u_image:new t.Uniform1i(e,r.u_image),u_pattern_tl_a:new t.Uniform2f(e,r.u_pattern_tl_a),u_pattern_br_a:new t.Uniform2f(e,r.u_pattern_br_a),u_pattern_tl_b:new t.Uniform2f(e,r.u_pattern_tl_b),u_pattern_br_b:new t.Uniform2f(e,r.u_pattern_br_b),u_texsize:new t.Uniform2f(e,r.u_texsize),u_mix:new t.Uniform1f(e,r.u_mix),u_pattern_size_a:new t.Uniform2f(e,r.u_pattern_size_a),u_pattern_size_b:new t.Uniform2f(e,r.u_pattern_size_b),u_scale_a:new t.Uniform1f(e,r.u_scale_a),u_scale_b:new t.Uniform1f(e,r.u_scale_b),u_pixel_coord_upper:new t.Uniform2f(e,r.u_pixel_coord_upper),u_pixel_coord_lower:new t.Uniform2f(e,r.u_pixel_coord_lower),u_tile_units_to_pixels:new t.Uniform1f(e,r.u_tile_units_to_pixels)}}};function nn(e,r,n,i,a,o,s){for(var l=e.context,u=l.gl,c=e.useProgram("collisionBox"),f=[],h=0,p=0,d=0;d0){var _=t.create(),w=m;t.mul(_,y.placementInvProjMatrix,e.transform.glCoordMatrix),t.mul(_,_,y.placementViewportMatrix),f.push({circleArray:b,circleOffset:p,transform:w,invTransform:_}),p=h+=b.length/4}x&&c.draw(l,u.LINES,Mt.disabled,Et.disabled,e.colorModeForRenderPass(),Ct.disabled,Dr(m,e.transform,g),n.id,x.layoutVertexBuffer,x.indexBuffer,x.segments,null,e.transform.zoom,null,null,x.collisionVertexBuffer)}}if(s&&f.length){var T=e.useProgram("collisionCircle"),k=new t.StructArrayLayout2f1f2i16;k.resize(4*h),k._trim();for(var A=0,M=0,S=f;M=0&&(v[y.associatedIconIndex]={shiftedAnchor:S,angle:E})}else he(y.numGlyphs,p)}if(f){d.clear();for(var C=e.icon.placedSymbolArray,P=0;P0){var s=t.browser.now(),l=(s-e.timeAdded)/o,u=r?(s-r.timeAdded)/o:-1,c=n.getSource(),f=a.coveringZoomLevel({tileSize:c.tileSize,roundZoom:c.roundZoom}),h=!r||Math.abs(r.tileID.overscaledZ-f)>Math.abs(e.tileID.overscaledZ-f),p=h&&e.refreshedUponExpiration?1:t.clamp(h?l:1-u,0,1);return e.refreshedUponExpiration&&l>=1&&(e.refreshedUponExpiration=!1),r?{opacity:1,mix:1-p}:{opacity:p,mix:0}}return{opacity:1,mix:0}}var gn=new t.Color(1,0,0,1),yn=new t.Color(0,1,0,1),mn=new t.Color(0,0,1,1),xn=new t.Color(1,0,1,1),bn=new t.Color(0,1,1,1);function _n(t){var e=t.transform.padding;wn(t,t.transform.height-(e.top||0),3,gn),wn(t,e.bottom||0,3,yn),Tn(t,e.left||0,3,mn),Tn(t,t.transform.width-(e.right||0),3,xn);var r=t.transform.centerPoint;!function(t,e,r,n){var i=20,a=2;kn(t,e-a/2,r-i/2,a,i,n),kn(t,e-i/2,r-a/2,i,a,n)}(t,r.x,t.transform.height-r.y,bn)}function wn(t,e,r,n){kn(t,0,e+r/2,t.transform.width,r,n)}function Tn(t,e,r,n){kn(t,e-r/2,0,r,t.transform.height,n)}function kn(e,r,n,i,a,o){var s=e.context,l=s.gl;l.enable(l.SCISSOR_TEST),l.scissor(r*t.browser.devicePixelRatio,n*t.browser.devicePixelRatio,i*t.browser.devicePixelRatio,a*t.browser.devicePixelRatio),s.clear({color:o}),l.disable(l.SCISSOR_TEST)}function An(e,r,n){var i=e.context,a=i.gl,o=n.posMatrix,s=e.useProgram("debug"),l=Mt.disabled,u=Et.disabled,c=e.colorModeForRenderPass(),f="$debug";i.activeTexture.set(a.TEXTURE0),e.emptyTexture.bind(a.LINEAR,a.CLAMP_TO_EDGE),s.draw(i,a.LINE_STRIP,l,u,c,Ct.disabled,Rr(o,t.Color.red),f,e.debugBuffer,e.tileBorderIndexBuffer,e.debugSegments);var h=r.getTileByID(n.key).latestRawTileData,p=h&&h.byteLength||0,d=Math.floor(p/1024),v=r.getTile(n).tileSize,g=512/Math.min(v,512)*(n.overscaledZ/e.transform.zoom)*.5,y=n.canonical.toString();n.overscaledZ!==n.canonical.z&&(y+=" => "+n.overscaledZ),function(t,e){t.initDebugOverlayCanvas();var r=t.debugOverlayCanvas,n=t.context.gl,i=t.debugOverlayCanvas.getContext("2d");i.clearRect(0,0,r.width,r.height),i.shadowColor="white",i.shadowBlur=2,i.lineWidth=1.5,i.strokeStyle="white",i.textBaseline="top",i.font="bold 36px Open Sans, sans-serif",i.fillText(e,5,5),i.strokeText(e,5,5),t.debugOverlayTexture.update(r),t.debugOverlayTexture.bind(n.LINEAR,n.CLAMP_TO_EDGE)}(e,y+" "+d+"kb"),s.draw(i,a.TRIANGLES,l,u,Lt.alphaBlended,Ct.disabled,Rr(o,t.Color.transparent,g),f,e.debugBuffer,e.quadTriangleIndexBuffer,e.debugSegments)}var Mn={symbol:function(e,r,n,i,a){if("translucent"===e.renderPass){var o=Et.disabled,s=e.colorModeForRenderPass();n.layout.get("text-variable-anchor")&&function(e,r,n,i,a,o,s){for(var l=r.transform,u="map"===a,c="map"===o,f=0,h=e;f256&&this.clearStencil(),r.setColorMode(Lt.disabled),r.setDepthMode(Mt.disabled);var i=this.useProgram("clippingMask");this._tileClippingMaskIDs={};for(var a=0,o=e;a256&&this.clearStencil();var t=this.nextStencilID++,e=this.context.gl;return new Et({func:e.NOTEQUAL,mask:255},t,255,e.KEEP,e.KEEP,e.REPLACE)},Sn.prototype.stencilModeForClipping=function(t){var e=this.context.gl;return new Et({func:e.EQUAL,mask:255},this._tileClippingMaskIDs[t.key],0,e.KEEP,e.KEEP,e.REPLACE)},Sn.prototype.stencilConfigForOverlap=function(t){var e,r=this.context.gl,n=t.sort((function(t,e){return e.overscaledZ-t.overscaledZ})),i=n[n.length-1].overscaledZ,a=n[0].overscaledZ-i+1;if(a>1){this.currentStencilSource=void 0,this.nextStencilID+a>256&&this.clearStencil();for(var o={},s=0;s=0;this.currentLayer--){var w=this.style._layers[i[this.currentLayer]],T=a[w.source],k=c[w.source];this._renderTileClippingMasks(w,k),this.renderLayer(this,T,w,k)}for(this.renderPass="translucent",this.currentLayer=0;this.currentLayer0?e.pop():null},Sn.prototype.isPatternMissing=function(t){if(!t)return!1;if(!t.from||!t.to)return!0;var e=this.imageManager.getPattern(t.from.toString()),r=this.imageManager.getPattern(t.to.toString());return!e||!r},Sn.prototype.useProgram=function(t,e){this.cache=this.cache||{};var r=""+t+(e?e.cacheKey:"")+(this._showOverdrawInspector?"/overdraw":"");return this.cache[r]||(this.cache[r]=new Ar(this.context,t,wr[t],e,rn[t],this._showOverdrawInspector)),this.cache[r]},Sn.prototype.setCustomLayerDefaults=function(){this.context.unbindVAO(),this.context.cullFace.setDefault(),this.context.activeTexture.setDefault(),this.context.pixelStoreUnpack.setDefault(),this.context.pixelStoreUnpackPremultiplyAlpha.setDefault(),this.context.pixelStoreUnpackFlipY.setDefault()},Sn.prototype.setBaseState=function(){var t=this.context.gl;this.context.cullFace.set(!1),this.context.viewport.set([0,0,this.width,this.height]),this.context.blendEquation.set(t.FUNC_ADD)},Sn.prototype.initDebugOverlayCanvas=function(){if(null==this.debugOverlayCanvas){this.debugOverlayCanvas=t.window.document.createElement("canvas"),this.debugOverlayCanvas.width=512,this.debugOverlayCanvas.height=512;var e=this.context.gl;this.debugOverlayTexture=new t.Texture(this.context,this.debugOverlayCanvas,e.RGBA)}},Sn.prototype.destroy=function(){this.emptyTexture.destroy(),this.debugOverlayTexture&&this.debugOverlayTexture.destroy()};var En=function(t,e){this.points=t,this.planes=e};En.fromInvProjectionMatrix=function(e,r,n){var i=Math.pow(2,n),a=[[-1,1,-1,1],[1,1,-1,1],[1,-1,-1,1],[-1,-1,-1,1],[-1,1,1,1],[1,1,1,1],[1,-1,1,1],[-1,-1,1,1]].map((function(r){return t.transformMat4([],r,e)})).map((function(e){return t.scale$1([],e,1/e[3]/r*i)})),o=[[0,1,2],[6,5,4],[0,3,7],[2,1,5],[3,2,6],[0,4,5]].map((function(e){var r=t.sub([],a[e[0]],a[e[1]]),n=t.sub([],a[e[2]],a[e[1]]),i=t.normalize([],t.cross([],r,n)),o=-t.dot(i,a[e[1]]);return i.concat(o)}));return new En(a,o)};var Ln=function(e,r){this.min=e,this.max=r,this.center=t.scale$2([],t.add([],this.min,this.max),.5)};Ln.prototype.quadrant=function(e){for(var r=[e%2==0,e<2],n=t.clone$2(this.min),i=t.clone$2(this.max),a=0;a=0;if(0===o)return 0;o!==r.length&&(n=!1)}if(n)return 2;for(var l=0;l<3;l++){for(var u=Number.MAX_VALUE,c=-Number.MAX_VALUE,f=0;fthis.max[l]-this.min[l])return 0}return 1};var Cn=function(t,e,r,n){if(void 0===t&&(t=0),void 0===e&&(e=0),void 0===r&&(r=0),void 0===n&&(n=0),isNaN(t)||t<0||isNaN(e)||e<0||isNaN(r)||r<0||isNaN(n)||n<0)throw new Error("Invalid value for edge-insets, top, bottom, left and right must all be numbers");this.top=t,this.bottom=e,this.left=r,this.right=n};Cn.prototype.interpolate=function(e,r,n){return null!=r.top&&null!=e.top&&(this.top=t.number(e.top,r.top,n)),null!=r.bottom&&null!=e.bottom&&(this.bottom=t.number(e.bottom,r.bottom,n)),null!=r.left&&null!=e.left&&(this.left=t.number(e.left,r.left,n)),null!=r.right&&null!=e.right&&(this.right=t.number(e.right,r.right,n)),this},Cn.prototype.getCenter=function(e,r){var n=t.clamp((this.left+e-this.right)/2,0,e),i=t.clamp((this.top+r-this.bottom)/2,0,r);return new t.Point(n,i)},Cn.prototype.equals=function(t){return this.top===t.top&&this.bottom===t.bottom&&this.left===t.left&&this.right===t.right},Cn.prototype.clone=function(){return new Cn(this.top,this.bottom,this.left,this.right)},Cn.prototype.toJSON=function(){return{top:this.top,bottom:this.bottom,left:this.left,right:this.right}};var Pn=function(e,r,n,i,a){this.tileSize=512,this.maxValidLatitude=85.051129,this._renderWorldCopies=void 0===a||a,this._minZoom=e||0,this._maxZoom=r||22,this._minPitch=null==n?0:n,this._maxPitch=null==i?60:i,this.setMaxBounds(),this.width=0,this.height=0,this._center=new t.LngLat(0,0),this.zoom=0,this.angle=0,this._fov=.6435011087932844,this._pitch=0,this._unmodified=!0,this._edgeInsets=new Cn,this._posMatrixCache={},this._alignedPosMatrixCache={}},On={minZoom:{configurable:!0},maxZoom:{configurable:!0},minPitch:{configurable:!0},maxPitch:{configurable:!0},renderWorldCopies:{configurable:!0},worldSize:{configurable:!0},centerOffset:{configurable:!0},size:{configurable:!0},bearing:{configurable:!0},pitch:{configurable:!0},fov:{configurable:!0},zoom:{configurable:!0},center:{configurable:!0},padding:{configurable:!0},centerPoint:{configurable:!0},unmodified:{configurable:!0},point:{configurable:!0}};Pn.prototype.clone=function(){var t=new Pn(this._minZoom,this._maxZoom,this._minPitch,this.maxPitch,this._renderWorldCopies);return t.tileSize=this.tileSize,t.latRange=this.latRange,t.width=this.width,t.height=this.height,t._center=this._center,t.zoom=this.zoom,t.angle=this.angle,t._fov=this._fov,t._pitch=this._pitch,t._unmodified=this._unmodified,t._edgeInsets=this._edgeInsets.clone(),t._calcMatrices(),t},On.minZoom.get=function(){return this._minZoom},On.minZoom.set=function(t){this._minZoom!==t&&(this._minZoom=t,this.zoom=Math.max(this.zoom,t))},On.maxZoom.get=function(){return this._maxZoom},On.maxZoom.set=function(t){this._maxZoom!==t&&(this._maxZoom=t,this.zoom=Math.min(this.zoom,t))},On.minPitch.get=function(){return this._minPitch},On.minPitch.set=function(t){this._minPitch!==t&&(this._minPitch=t,this.pitch=Math.max(this.pitch,t))},On.maxPitch.get=function(){return this._maxPitch},On.maxPitch.set=function(t){this._maxPitch!==t&&(this._maxPitch=t,this.pitch=Math.min(this.pitch,t))},On.renderWorldCopies.get=function(){return this._renderWorldCopies},On.renderWorldCopies.set=function(t){void 0===t?t=!0:null===t&&(t=!1),this._renderWorldCopies=t},On.worldSize.get=function(){return this.tileSize*this.scale},On.centerOffset.get=function(){return this.centerPoint._sub(this.size._div(2))},On.size.get=function(){return new t.Point(this.width,this.height)},On.bearing.get=function(){return-this.angle/Math.PI*180},On.bearing.set=function(e){var r=-t.wrap(e,-180,180)*Math.PI/180;this.angle!==r&&(this._unmodified=!1,this.angle=r,this._calcMatrices(),this.rotationMatrix=t.create$2(),t.rotate(this.rotationMatrix,this.rotationMatrix,this.angle))},On.pitch.get=function(){return this._pitch/Math.PI*180},On.pitch.set=function(e){var r=t.clamp(e,this.minPitch,this.maxPitch)/180*Math.PI;this._pitch!==r&&(this._unmodified=!1,this._pitch=r,this._calcMatrices())},On.fov.get=function(){return this._fov/Math.PI*180},On.fov.set=function(t){t=Math.max(.01,Math.min(60,t)),this._fov!==t&&(this._unmodified=!1,this._fov=t/180*Math.PI,this._calcMatrices())},On.zoom.get=function(){return this._zoom},On.zoom.set=function(t){var e=Math.min(Math.max(t,this.minZoom),this.maxZoom);this._zoom!==e&&(this._unmodified=!1,this._zoom=e,this.scale=this.zoomScale(e),this.tileZoom=Math.floor(e),this.zoomFraction=e-this.tileZoom,this._constrain(),this._calcMatrices())},On.center.get=function(){return this._center},On.center.set=function(t){t.lat===this._center.lat&&t.lng===this._center.lng||(this._unmodified=!1,this._center=t,this._constrain(),this._calcMatrices())},On.padding.get=function(){return this._edgeInsets.toJSON()},On.padding.set=function(t){this._edgeInsets.equals(t)||(this._unmodified=!1,this._edgeInsets.interpolate(this._edgeInsets,t,1),this._calcMatrices())},On.centerPoint.get=function(){return this._edgeInsets.getCenter(this.width,this.height)},Pn.prototype.isPaddingEqual=function(t){return this._edgeInsets.equals(t)},Pn.prototype.interpolatePadding=function(t,e,r){this._unmodified=!1,this._edgeInsets.interpolate(t,e,r),this._constrain(),this._calcMatrices()},Pn.prototype.coveringZoomLevel=function(t){var e=(t.roundZoom?Math.round:Math.floor)(this.zoom+this.scaleZoom(this.tileSize/t.tileSize));return Math.max(0,e)},Pn.prototype.getVisibleUnwrappedCoordinates=function(e){var r=[new t.UnwrappedTileID(0,e)];if(this._renderWorldCopies)for(var n=this.pointCoordinate(new t.Point(0,0)),i=this.pointCoordinate(new t.Point(this.width,0)),a=this.pointCoordinate(new t.Point(this.width,this.height)),o=this.pointCoordinate(new t.Point(0,this.height)),s=Math.floor(Math.min(n.x,i.x,a.x,o.x)),l=Math.floor(Math.max(n.x,i.x,a.x,o.x)),u=s-1;u<=l+1;u++)0!==u&&r.push(new t.UnwrappedTileID(u,e));return r},Pn.prototype.coveringTiles=function(e){var r=this.coveringZoomLevel(e),n=r;if(void 0!==e.minzoom&&re.maxzoom&&(r=e.maxzoom);var i=t.MercatorCoordinate.fromLngLat(this.center),a=Math.pow(2,r),o=[a*i.x,a*i.y,0],s=En.fromInvProjectionMatrix(this.invProjMatrix,this.worldSize,r),l=e.minzoom||0;this.pitch<=60&&this._edgeInsets.top<.1&&(l=r);var u=function(t){return{aabb:new Ln([t*a,0,0],[(t+1)*a,a,0]),zoom:0,x:0,y:0,wrap:t,fullyVisible:!1}},c=[],f=[],h=r,p=e.reparseOverscaled?n:r;if(this._renderWorldCopies)for(var d=1;d<=3;d++)c.push(u(-d)),c.push(u(d));for(c.push(u(0));c.length>0;){var v=c.pop(),g=v.x,y=v.y,m=v.fullyVisible;if(!m){var x=v.aabb.intersects(s);if(0===x)continue;m=2===x}var b=v.aabb.distanceX(o),_=v.aabb.distanceY(o),w=Math.max(Math.abs(b),Math.abs(_)),T=3+(1<T&&v.zoom>=l)f.push({tileID:new t.OverscaledTileID(v.zoom===h?p:v.zoom,v.wrap,v.zoom,g,y),distanceSq:t.sqrLen([o[0]-.5-g,o[1]-.5-y])});else for(var k=0;k<4;k++){var A=(g<<1)+k%2,M=(y<<1)+(k>>1);c.push({aabb:v.aabb.quadrant(k),zoom:v.zoom+1,x:A,y:M,wrap:v.wrap,fullyVisible:m})}}return f.sort((function(t,e){return t.distanceSq-e.distanceSq})).map((function(t){return t.tileID}))},Pn.prototype.resize=function(t,e){this.width=t,this.height=e,this.pixelsToGLUnits=[2/t,-2/e],this._constrain(),this._calcMatrices()},On.unmodified.get=function(){return this._unmodified},Pn.prototype.zoomScale=function(t){return Math.pow(2,t)},Pn.prototype.scaleZoom=function(t){return Math.log(t)/Math.LN2},Pn.prototype.project=function(e){var r=t.clamp(e.lat,-this.maxValidLatitude,this.maxValidLatitude);return new t.Point(t.mercatorXfromLng(e.lng)*this.worldSize,t.mercatorYfromLat(r)*this.worldSize)},Pn.prototype.unproject=function(e){return new t.MercatorCoordinate(e.x/this.worldSize,e.y/this.worldSize).toLngLat()},On.point.get=function(){return this.project(this.center)},Pn.prototype.setLocationAtPoint=function(e,r){var n=this.pointCoordinate(r),i=this.pointCoordinate(this.centerPoint),a=this.locationCoordinate(e),o=new t.MercatorCoordinate(a.x-(n.x-i.x),a.y-(n.y-i.y));this.center=this.coordinateLocation(o),this._renderWorldCopies&&(this.center=this.center.wrap())},Pn.prototype.locationPoint=function(t){return this.coordinatePoint(this.locationCoordinate(t))},Pn.prototype.pointLocation=function(t){return this.coordinateLocation(this.pointCoordinate(t))},Pn.prototype.locationCoordinate=function(e){return t.MercatorCoordinate.fromLngLat(e)},Pn.prototype.coordinateLocation=function(t){return t.toLngLat()},Pn.prototype.pointCoordinate=function(e){var r=[e.x,e.y,0,1],n=[e.x,e.y,1,1];t.transformMat4(r,r,this.pixelMatrixInverse),t.transformMat4(n,n,this.pixelMatrixInverse);var i=r[3],a=n[3],o=r[0]/i,s=n[0]/a,l=r[1]/i,u=n[1]/a,c=r[2]/i,f=n[2]/a,h=c===f?0:(0-c)/(f-c);return new t.MercatorCoordinate(t.number(o,s,h)/this.worldSize,t.number(l,u,h)/this.worldSize)},Pn.prototype.coordinatePoint=function(e){var r=[e.x*this.worldSize,e.y*this.worldSize,0,1];return t.transformMat4(r,r,this.pixelMatrix),new t.Point(r[0]/r[3],r[1]/r[3])},Pn.prototype.getBounds=function(){return(new t.LngLatBounds).extend(this.pointLocation(new t.Point(0,0))).extend(this.pointLocation(new t.Point(this.width,0))).extend(this.pointLocation(new t.Point(this.width,this.height))).extend(this.pointLocation(new t.Point(0,this.height)))},Pn.prototype.getMaxBounds=function(){return this.latRange&&2===this.latRange.length&&this.lngRange&&2===this.lngRange.length?new t.LngLatBounds([this.lngRange[0],this.latRange[0]],[this.lngRange[1],this.latRange[1]]):null},Pn.prototype.setMaxBounds=function(t){t?(this.lngRange=[t.getWest(),t.getEast()],this.latRange=[t.getSouth(),t.getNorth()],this._constrain()):(this.lngRange=null,this.latRange=[-this.maxValidLatitude,this.maxValidLatitude])},Pn.prototype.calculatePosMatrix=function(e,r){void 0===r&&(r=!1);var n=e.key,i=r?this._alignedPosMatrixCache:this._posMatrixCache;if(i[n])return i[n];var a=e.canonical,o=this.worldSize/this.zoomScale(a.z),s=a.x+Math.pow(2,a.z)*e.wrap,l=t.identity(new Float64Array(16));return t.translate(l,l,[s*o,a.y*o,0]),t.scale(l,l,[o/t.EXTENT,o/t.EXTENT,1]),t.multiply(l,r?this.alignedProjMatrix:this.projMatrix,l),i[n]=new Float32Array(l),i[n]},Pn.prototype.customLayerMatrix=function(){return this.mercatorMatrix.slice()},Pn.prototype._constrain=function(){if(this.center&&this.width&&this.height&&!this._constraining){this._constraining=!0;var e,r,n,i,a=-90,o=90,s=-180,l=180,u=this.size,c=this._unmodified;if(this.latRange){var f=this.latRange;a=t.mercatorYfromLat(f[1])*this.worldSize,e=(o=t.mercatorYfromLat(f[0])*this.worldSize)-ao&&(i=o-g)}if(this.lngRange){var y=p.x,m=u.x/2;y-ml&&(n=l-m)}void 0===n&&void 0===i||(this.center=this.unproject(new t.Point(void 0!==n?n:p.x,void 0!==i?i:p.y))),this._unmodified=c,this._constraining=!1}},Pn.prototype._calcMatrices=function(){if(this.height){var e=this._fov/2,r=this.centerOffset;this.cameraToCenterDistance=.5/Math.tan(e)*this.height;var n=Math.PI/2+this._pitch,i=this._fov*(.5+r.y/this.height),a=Math.sin(i)*this.cameraToCenterDistance/Math.sin(t.clamp(Math.PI-n-i,.01,Math.PI-.01)),o=this.point,s=o.x,l=o.y,u=1.01*(Math.cos(Math.PI/2-this._pitch)*a+this.cameraToCenterDistance),c=this.height/50,f=new Float64Array(16);t.perspective(f,this._fov,this.width/this.height,c,u),f[8]=2*-r.x/this.width,f[9]=2*r.y/this.height,t.scale(f,f,[1,-1,1]),t.translate(f,f,[0,0,-this.cameraToCenterDistance]),t.rotateX(f,f,this._pitch),t.rotateZ(f,f,this.angle),t.translate(f,f,[-s,-l,0]),this.mercatorMatrix=t.scale([],f,[this.worldSize,this.worldSize,this.worldSize]),t.scale(f,f,[1,1,t.mercatorZfromAltitude(1,this.center.lat)*this.worldSize,1]),this.projMatrix=f,this.invProjMatrix=t.invert([],this.projMatrix);var h=this.width%2/2,p=this.height%2/2,d=Math.cos(this.angle),v=Math.sin(this.angle),g=s-Math.round(s)+d*h+v*p,y=l-Math.round(l)+d*p+v*h,m=new Float64Array(f);if(t.translate(m,m,[g>.5?g-1:g,y>.5?y-1:y,0]),this.alignedProjMatrix=m,f=t.create(),t.scale(f,f,[this.width/2,-this.height/2,1]),t.translate(f,f,[1,-1,0]),this.labelPlaneMatrix=f,f=t.create(),t.scale(f,f,[1,-1,1]),t.translate(f,f,[-1,-1,0]),t.scale(f,f,[2/this.width,2/this.height,1]),this.glCoordMatrix=f,this.pixelMatrix=t.multiply(new Float64Array(16),this.labelPlaneMatrix,this.projMatrix),!(f=t.invert(new Float64Array(16),this.pixelMatrix)))throw new Error("failed to invert matrix");this.pixelMatrixInverse=f,this._posMatrixCache={},this._alignedPosMatrixCache={}}},Pn.prototype.maxPitchScaleFactor=function(){if(!this.pixelMatrixInverse)return 1;var e=this.pointCoordinate(new t.Point(0,0)),r=[e.x*this.worldSize,e.y*this.worldSize,0,1];return t.transformMat4(r,r,this.pixelMatrix)[3]/this.cameraToCenterDistance},Pn.prototype.getCameraPoint=function(){var e=this._pitch,r=Math.tan(e)*(this.cameraToCenterDistance||1);return this.centerPoint.add(new t.Point(0,r))},Pn.prototype.getCameraQueryGeometry=function(e){var r=this.getCameraPoint();if(1===e.length)return[e[0],r];for(var n=r.x,i=r.y,a=r.x,o=r.y,s=0,l=e;s=3&&!t.some((function(t){return isNaN(t)}))){var e=this._map.dragRotate.isEnabled()&&this._map.touchZoomRotate.isEnabled()?+(t[3]||0):this._map.getBearing();return this._map.jumpTo({center:[+t[2],+t[1]],zoom:+t[0],bearing:e,pitch:+(t[4]||0)}),!0}return!1},In.prototype._updateHashUnthrottled=function(){var e=t.window.location.href.replace(/(#.+)?$/,this.getHashString());try{t.window.history.replaceState(t.window.history.state,null,e)}catch(t){}};var Dn={linearity:.3,easing:t.bezier(0,0,.3,1)},zn=t.extend({deceleration:2500,maxSpeed:1400},Dn),Rn=t.extend({deceleration:20,maxSpeed:1400},Dn),Fn=t.extend({deceleration:1e3,maxSpeed:360},Dn),Bn=t.extend({deceleration:1e3,maxSpeed:90},Dn),Nn=function(t){this._map=t,this.clear()};function jn(t,e){(!t.duration||t.duration0&&r-e[0].time>160;)e.shift()},Nn.prototype._onMoveEnd=function(e){if(this._drainInertiaBuffer(),!(this._inertiaBuffer.length<2)){for(var r={zoom:0,bearing:0,pitch:0,pan:new t.Point(0,0),pinchAround:void 0,around:void 0},n=0,i=this._inertiaBuffer;n=this._clickTolerance||this._map.fire(new Vn(t.type,this._map,t))},Gn.prototype.dblclick=function(t){return this._firePreventable(new Vn(t.type,this._map,t))},Gn.prototype.mouseover=function(t){this._map.fire(new Vn(t.type,this._map,t))},Gn.prototype.mouseout=function(t){this._map.fire(new Vn(t.type,this._map,t))},Gn.prototype.touchstart=function(t){return this._firePreventable(new qn(t.type,this._map,t))},Gn.prototype.touchmove=function(t){this._map.fire(new qn(t.type,this._map,t))},Gn.prototype.touchend=function(t){this._map.fire(new qn(t.type,this._map,t))},Gn.prototype.touchcancel=function(t){this._map.fire(new qn(t.type,this._map,t))},Gn.prototype._firePreventable=function(t){if(this._map.fire(t),t.defaultPrevented)return{}},Gn.prototype.isEnabled=function(){return!0},Gn.prototype.isActive=function(){return!1},Gn.prototype.enable=function(){},Gn.prototype.disable=function(){};var Wn=function(t){this._map=t};Wn.prototype.reset=function(){this._delayContextMenu=!1,delete this._contextMenuEvent},Wn.prototype.mousemove=function(t){this._map.fire(new Vn(t.type,this._map,t))},Wn.prototype.mousedown=function(){this._delayContextMenu=!0},Wn.prototype.mouseup=function(){this._delayContextMenu=!1,this._contextMenuEvent&&(this._map.fire(new Vn("contextmenu",this._map,this._contextMenuEvent)),delete this._contextMenuEvent)},Wn.prototype.contextmenu=function(t){this._delayContextMenu?this._contextMenuEvent=t:this._map.fire(new Vn(t.type,this._map,t)),this._map.listens("contextmenu")&&t.preventDefault()},Wn.prototype.isEnabled=function(){return!0},Wn.prototype.isActive=function(){return!1},Wn.prototype.enable=function(){},Wn.prototype.disable=function(){};var Yn=function(t,e){this._map=t,this._el=t.getCanvasContainer(),this._container=t.getContainer(),this._clickTolerance=e.clickTolerance||1};function Xn(t,e){for(var r={},n=0;nthis.numTouches)&&(this.aborted=!0),this.aborted||(void 0===this.startTime&&(this.startTime=e.timeStamp),n.length===this.numTouches&&(this.centroid=function(e){for(var r=new t.Point(0,0),n=0,i=e;n30)&&(this.aborted=!0)}}},Zn.prototype.touchend=function(t,e,r){if((!this.centroid||t.timeStamp-this.startTime>500)&&(this.aborted=!0),0===r.length){var n=!this.aborted&&this.centroid;if(this.reset(),n)return n}};var Kn=function(t){this.singleTap=new Zn(t),this.numTaps=t.numTaps,this.reset()};Kn.prototype.reset=function(){this.lastTime=1/0,delete this.lastTap,this.count=0,this.singleTap.reset()},Kn.prototype.touchstart=function(t,e,r){this.singleTap.touchstart(t,e,r)},Kn.prototype.touchmove=function(t,e,r){this.singleTap.touchmove(t,e,r)},Kn.prototype.touchend=function(t,e,r){var n=this.singleTap.touchend(t,e,r);if(n){var i=t.timeStamp-this.lastTime<500,a=!this.lastTap||this.lastTap.dist(n)<30;if(i&&a||this.reset(),this.count++,this.lastTime=t.timeStamp,this.lastTap=n,this.count===this.numTaps)return this.reset(),n}};var Jn=function(){this._zoomIn=new Kn({numTouches:1,numTaps:2}),this._zoomOut=new Kn({numTouches:2,numTaps:1}),this.reset()};Jn.prototype.reset=function(){this._active=!1,this._zoomIn.reset(),this._zoomOut.reset()},Jn.prototype.touchstart=function(t,e,r){this._zoomIn.touchstart(t,e,r),this._zoomOut.touchstart(t,e,r)},Jn.prototype.touchmove=function(t,e,r){this._zoomIn.touchmove(t,e,r),this._zoomOut.touchmove(t,e,r)},Jn.prototype.touchend=function(t,e,r){var n=this,i=this._zoomIn.touchend(t,e,r),a=this._zoomOut.touchend(t,e,r);return i?(this._active=!0,t.preventDefault(),setTimeout((function(){return n.reset()}),0),{cameraAnimation:function(e){return e.easeTo({duration:300,zoom:e.getZoom()+1,around:e.unproject(i)},{originalEvent:t})}}):a?(this._active=!0,t.preventDefault(),setTimeout((function(){return n.reset()}),0),{cameraAnimation:function(e){return e.easeTo({duration:300,zoom:e.getZoom()-1,around:e.unproject(a)},{originalEvent:t})}}):void 0},Jn.prototype.touchcancel=function(){this.reset()},Jn.prototype.enable=function(){this._enabled=!0},Jn.prototype.disable=function(){this._enabled=!1,this.reset()},Jn.prototype.isEnabled=function(){return this._enabled},Jn.prototype.isActive=function(){return this._active};var $n={};$n[0]=1,$n[2]=2;var Qn=function(t){this.reset(),this._clickTolerance=t.clickTolerance||1};Qn.prototype.reset=function(){this._active=!1,this._moved=!1,delete this._lastPoint,delete this._eventButton},Qn.prototype._correctButton=function(t,e){return!1},Qn.prototype._move=function(t,e){return{}},Qn.prototype.mousedown=function(t,e){if(!this._lastPoint){var n=r.mouseButton(t);this._correctButton(t,n)&&(this._lastPoint=e,this._eventButton=n)}},Qn.prototype.mousemoveWindow=function(t,e){var r=this._lastPoint;if(r)if(t.preventDefault(),function(t,e){var r=$n[e];return void 0===t.buttons||(t.buttons&r)!==r}(t,this._eventButton))this.reset();else if(this._moved||!(e.dist(r)0&&(this._active=!0);var i=Xn(n,r),a=new t.Point(0,0),o=new t.Point(0,0),s=0;for(var l in i){var u=i[l],c=this._touches[l];c&&(a._add(u),o._add(u.sub(c)),s++,i[l]=u)}if(this._touches=i,!(sMath.abs(t.x)}var fi=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.reset=function(){t.prototype.reset.call(this),this._valid=void 0,delete this._firstMove,delete this._lastPoints},e.prototype._start=function(t){this._lastPoints=t,ci(t[0].sub(t[1]))&&(this._valid=!1)},e.prototype._move=function(t,e,r){var n=t[0].sub(this._lastPoints[0]),i=t[1].sub(this._lastPoints[1]);if(this._valid=this.gestureBeginsVertically(n,i,r.timeStamp),this._valid)return this._lastPoints=t,this._active=!0,{pitchDelta:(n.y+i.y)/2*-.5}},e.prototype.gestureBeginsVertically=function(t,e,r){if(void 0!==this._valid)return this._valid;var n=t.mag()>=2,i=e.mag()>=2;if(n||i){if(!n||!i)return void 0===this._firstMove&&(this._firstMove=r),r-this._firstMove<100&&void 0;var a=t.y>0==e.y>0;return ci(t)&&ci(e)&&a}},e}(ii),hi={panStep:100,bearingStep:15,pitchStep:10},pi=function(){var t=hi;this._panStep=t.panStep,this._bearingStep=t.bearingStep,this._pitchStep=t.pitchStep,this._rotationDisabled=!1};function di(t){return t*(2-t)}pi.prototype.reset=function(){this._active=!1},pi.prototype.keydown=function(t){var e=this;if(!(t.altKey||t.ctrlKey||t.metaKey)){var r=0,n=0,i=0,a=0,o=0;switch(t.keyCode){case 61:case 107:case 171:case 187:r=1;break;case 189:case 109:case 173:r=-1;break;case 37:t.shiftKey?n=-1:(t.preventDefault(),a=-1);break;case 39:t.shiftKey?n=1:(t.preventDefault(),a=1);break;case 38:t.shiftKey?i=1:(t.preventDefault(),o=-1);break;case 40:t.shiftKey?i=-1:(t.preventDefault(),o=1);break;default:return}return this._rotationDisabled&&(n=0,i=0),{cameraAnimation:function(s){var l=s.getZoom();s.easeTo({duration:300,easeId:"keyboardHandler",easing:di,zoom:r?Math.round(l)+r*(t.shiftKey?2:1):l,bearing:s.getBearing()+n*e._bearingStep,pitch:s.getPitch()+i*e._pitchStep,offset:[-a*e._panStep,-o*e._panStep],center:s.getCenter()},{originalEvent:t})}}}},pi.prototype.enable=function(){this._enabled=!0},pi.prototype.disable=function(){this._enabled=!1,this.reset()},pi.prototype.isEnabled=function(){return this._enabled},pi.prototype.isActive=function(){return this._active},pi.prototype.disableRotation=function(){this._rotationDisabled=!0},pi.prototype.enableRotation=function(){this._rotationDisabled=!1};var vi=4.000244140625,gi=function(e,r){this._map=e,this._el=e.getCanvasContainer(),this._handler=r,this._delta=0,this._defaultZoomRate=.01,this._wheelZoomRate=.0022222222222222222,t.bindAll(["_onTimeout"],this)};gi.prototype.setZoomRate=function(t){this._defaultZoomRate=t},gi.prototype.setWheelZoomRate=function(t){this._wheelZoomRate=t},gi.prototype.isEnabled=function(){return!!this._enabled},gi.prototype.isActive=function(){return!!this._active||void 0!==this._finishTimeout},gi.prototype.isZooming=function(){return!!this._zooming},gi.prototype.enable=function(t){this.isEnabled()||(this._enabled=!0,this._aroundCenter=t&&"center"===t.around)},gi.prototype.disable=function(){this.isEnabled()&&(this._enabled=!1)},gi.prototype.wheel=function(e){if(this.isEnabled()){var r=e.deltaMode===t.window.WheelEvent.DOM_DELTA_LINE?40*e.deltaY:e.deltaY,n=t.browser.now(),i=n-(this._lastWheelEventTime||0);this._lastWheelEventTime=n,0!==r&&r%vi==0?this._type="wheel":0!==r&&Math.abs(r)<4?this._type="trackpad":i>400?(this._type=null,this._lastValue=r,this._timeout=setTimeout(this._onTimeout,40,e)):this._type||(this._type=Math.abs(i*r)<200?"trackpad":"wheel",this._timeout&&(clearTimeout(this._timeout),this._timeout=null,r+=this._lastValue)),e.shiftKey&&r&&(r/=4),this._type&&(this._lastWheelEvent=e,this._delta-=r,this._active||this._start(e)),e.preventDefault()}},gi.prototype._onTimeout=function(t){this._type="wheel",this._delta-=this._lastValue,this._active||this._start(t)},gi.prototype._start=function(e){if(this._delta){this._frameId&&(this._frameId=null),this._active=!0,this.isZooming()||(this._zooming=!0),this._finishTimeout&&(clearTimeout(this._finishTimeout),delete this._finishTimeout);var n=r.mousePos(this._el,e);this._around=t.LngLat.convert(this._aroundCenter?this._map.getCenter():this._map.unproject(n)),this._aroundPoint=this._map.transform.locationPoint(this._around),this._frameId||(this._frameId=!0,this._handler._triggerRenderFrame())}},gi.prototype.renderFrame=function(){var e=this;if(this._frameId&&(this._frameId=null,this.isActive())){var r=this._map.transform;if(0!==this._delta){var n="wheel"===this._type&&Math.abs(this._delta)>vi?this._wheelZoomRate:this._defaultZoomRate,i=2/(1+Math.exp(-Math.abs(this._delta*n)));this._delta<0&&0!==i&&(i=1/i);var a="number"==typeof this._targetZoom?r.zoomScale(this._targetZoom):r.scale;this._targetZoom=Math.min(r.maxZoom,Math.max(r.minZoom,r.scaleZoom(a*i))),"wheel"===this._type&&(this._startZoom=r.zoom,this._easing=this._smoothOutEasing(200)),this._delta=0}var o,s="number"==typeof this._targetZoom?this._targetZoom:r.zoom,l=this._startZoom,u=this._easing,c=!1;if("wheel"===this._type&&l&&u){var f=Math.min((t.browser.now()-this._lastWheelEventTime)/200,1),h=u(f);o=t.number(l,s,h),f<1?this._frameId||(this._frameId=!0):c=!0}else o=s,c=!0;return this._active=!0,c&&(this._active=!1,this._finishTimeout=setTimeout((function(){e._zooming=!1,e._handler._triggerRenderFrame(),delete e._targetZoom,delete e._finishTimeout}),200)),{noInertia:!0,needsRenderFrame:!c,zoomDelta:o-r.zoom,around:this._aroundPoint,originalEvent:this._lastWheelEvent}}},gi.prototype._smoothOutEasing=function(e){var r=t.ease;if(this._prevEase){var n=this._prevEase,i=(t.browser.now()-n.start)/n.duration,a=n.easing(i+.01)-n.easing(i),o=.27/Math.sqrt(a*a+1e-4)*.01,s=Math.sqrt(.0729-o*o);r=t.bezier(o,s,.25,1)}return this._prevEase={start:t.browser.now(),duration:e,easing:r},r},gi.prototype.reset=function(){this._active=!1};var yi=function(t,e){this._clickZoom=t,this._tapZoom=e};yi.prototype.enable=function(){this._clickZoom.enable(),this._tapZoom.enable()},yi.prototype.disable=function(){this._clickZoom.disable(),this._tapZoom.disable()},yi.prototype.isEnabled=function(){return this._clickZoom.isEnabled()&&this._tapZoom.isEnabled()},yi.prototype.isActive=function(){return this._clickZoom.isActive()||this._tapZoom.isActive()};var mi=function(){this.reset()};mi.prototype.reset=function(){this._active=!1},mi.prototype.dblclick=function(t,e){return t.preventDefault(),{cameraAnimation:function(r){r.easeTo({duration:300,zoom:r.getZoom()+(t.shiftKey?-1:1),around:r.unproject(e)},{originalEvent:t})}}},mi.prototype.enable=function(){this._enabled=!0},mi.prototype.disable=function(){this._enabled=!1,this.reset()},mi.prototype.isEnabled=function(){return this._enabled},mi.prototype.isActive=function(){return this._active};var xi=function(){this._tap=new Kn({numTouches:1,numTaps:1}),this.reset()};xi.prototype.reset=function(){this._active=!1,delete this._swipePoint,delete this._swipeTouch,delete this._tapTime,this._tap.reset()},xi.prototype.touchstart=function(t,e,r){this._swipePoint||(this._tapTime&&t.timeStamp-this._tapTime>500&&this.reset(),this._tapTime?r.length>0&&(this._swipePoint=e[0],this._swipeTouch=r[0].identifier):this._tap.touchstart(t,e,r))},xi.prototype.touchmove=function(t,e,r){if(this._tapTime){if(this._swipePoint){if(r[0].identifier!==this._swipeTouch)return;var n=e[0],i=n.y-this._swipePoint.y;return this._swipePoint=n,t.preventDefault(),this._active=!0,{zoomDelta:i/128}}}else this._tap.touchmove(t,e,r)},xi.prototype.touchend=function(t,e,r){this._tapTime?this._swipePoint&&0===r.length&&this.reset():this._tap.touchend(t,e,r)&&(this._tapTime=t.timeStamp)},xi.prototype.touchcancel=function(){this.reset()},xi.prototype.enable=function(){this._enabled=!0},xi.prototype.disable=function(){this._enabled=!1,this.reset()},xi.prototype.isEnabled=function(){return this._enabled},xi.prototype.isActive=function(){return this._active};var bi=function(t,e,r){this._el=t,this._mousePan=e,this._touchPan=r};bi.prototype.enable=function(t){this._inertiaOptions=t||{},this._mousePan.enable(),this._touchPan.enable(),this._el.classList.add("mapboxgl-touch-drag-pan")},bi.prototype.disable=function(){this._mousePan.disable(),this._touchPan.disable(),this._el.classList.remove("mapboxgl-touch-drag-pan")},bi.prototype.isEnabled=function(){return this._mousePan.isEnabled()&&this._touchPan.isEnabled()},bi.prototype.isActive=function(){return this._mousePan.isActive()||this._touchPan.isActive()};var _i=function(t,e,r){this._pitchWithRotate=t.pitchWithRotate,this._mouseRotate=e,this._mousePitch=r};_i.prototype.enable=function(){this._mouseRotate.enable(),this._pitchWithRotate&&this._mousePitch.enable()},_i.prototype.disable=function(){this._mouseRotate.disable(),this._mousePitch.disable()},_i.prototype.isEnabled=function(){return this._mouseRotate.isEnabled()&&(!this._pitchWithRotate||this._mousePitch.isEnabled())},_i.prototype.isActive=function(){return this._mouseRotate.isActive()||this._mousePitch.isActive()};var wi=function(t,e,r,n){this._el=t,this._touchZoom=e,this._touchRotate=r,this._tapDragZoom=n,this._rotationDisabled=!1,this._enabled=!0};wi.prototype.enable=function(t){this._touchZoom.enable(t),this._rotationDisabled||this._touchRotate.enable(t),this._tapDragZoom.enable(),this._el.classList.add("mapboxgl-touch-zoom-rotate")},wi.prototype.disable=function(){this._touchZoom.disable(),this._touchRotate.disable(),this._tapDragZoom.disable(),this._el.classList.remove("mapboxgl-touch-zoom-rotate")},wi.prototype.isEnabled=function(){return this._touchZoom.isEnabled()&&(this._rotationDisabled||this._touchRotate.isEnabled())&&this._tapDragZoom.isEnabled()},wi.prototype.isActive=function(){return this._touchZoom.isActive()||this._touchRotate.isActive()||this._tapDragZoom.isActive()},wi.prototype.disableRotation=function(){this._rotationDisabled=!0,this._touchRotate.disable()},wi.prototype.enableRotation=function(){this._rotationDisabled=!1,this._touchZoom.isEnabled()&&this._touchRotate.enable()};var Ti=function(t){return t.zoom||t.drag||t.pitch||t.rotate},ki=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e}(t.Event);function Ai(t){return t.panDelta&&t.panDelta.mag()||t.zoomDelta||t.bearingDelta||t.pitchDelta}var Mi=function(e,n){this._map=e,this._el=this._map.getCanvasContainer(),this._handlers=[],this._handlersById={},this._changes=[],this._inertia=new Nn(e),this._bearingSnap=n.bearingSnap,this._previousActiveHandlers={},this._eventsInProgress={},this._addDefaultHandlers(n),t.bindAll(["handleEvent","handleWindowEvent"],this);var i=this._el;this._listeners=[[i,"touchstart",{passive:!0}],[i,"touchmove",{passive:!1}],[i,"touchend",void 0],[i,"touchcancel",void 0],[i,"mousedown",void 0],[i,"mousemove",void 0],[i,"mouseup",void 0],[t.window.document,"mousemove",{capture:!0}],[t.window.document,"mouseup",void 0],[i,"mouseover",void 0],[i,"mouseout",void 0],[i,"dblclick",void 0],[i,"click",void 0],[i,"keydown",{capture:!1}],[i,"keyup",void 0],[i,"wheel",{passive:!1}],[i,"contextmenu",void 0],[t.window,"blur",void 0]];for(var a=0,o=this._listeners;aa?Math.min(2,_):Math.max(.5,_),w=Math.pow(g,1-e),T=i.unproject(x.add(b.mult(e*w)).mult(v));i.setLocationAtPoint(i.renderWorldCopies?T.wrap():T,d)}n._fireMoveEvents(r)}),(function(t){n._afterEase(r,t)}),e),this},r.prototype._prepareEase=function(e,r,n){void 0===n&&(n={}),this._moving=!0,r||n.moving||this.fire(new t.Event("movestart",e)),this._zooming&&!n.zooming&&this.fire(new t.Event("zoomstart",e)),this._rotating&&!n.rotating&&this.fire(new t.Event("rotatestart",e)),this._pitching&&!n.pitching&&this.fire(new t.Event("pitchstart",e))},r.prototype._fireMoveEvents=function(e){this.fire(new t.Event("move",e)),this._zooming&&this.fire(new t.Event("zoom",e)),this._rotating&&this.fire(new t.Event("rotate",e)),this._pitching&&this.fire(new t.Event("pitch",e))},r.prototype._afterEase=function(e,r){if(!this._easeId||!r||this._easeId!==r){delete this._easeId;var n=this._zooming,i=this._rotating,a=this._pitching;this._moving=!1,this._zooming=!1,this._rotating=!1,this._pitching=!1,this._padding=!1,n&&this.fire(new t.Event("zoomend",e)),i&&this.fire(new t.Event("rotateend",e)),a&&this.fire(new t.Event("pitchend",e)),this.fire(new t.Event("moveend",e))}},r.prototype.flyTo=function(e,r){var n=this;if(!e.essential&&t.browser.prefersReducedMotion){var i=t.pick(e,["center","zoom","bearing","pitch","around"]);return this.jumpTo(i,r)}this.stop(),e=t.extend({offset:[0,0],speed:1.2,curve:1.42,easing:t.ease},e);var a=this.transform,o=this.getZoom(),s=this.getBearing(),l=this.getPitch(),u=this.getPadding(),c="zoom"in e?t.clamp(+e.zoom,a.minZoom,a.maxZoom):o,f="bearing"in e?this._normalizeBearing(e.bearing,s):s,h="pitch"in e?+e.pitch:l,p="padding"in e?e.padding:a.padding,d=a.zoomScale(c-o),v=t.Point.convert(e.offset),g=a.centerPoint.add(v),y=a.pointLocation(g),m=t.LngLat.convert(e.center||y);this._normalizeCenter(m);var x=a.project(y),b=a.project(m).sub(x),_=e.curve,w=Math.max(a.width,a.height),T=w/d,k=b.mag();if("minZoom"in e){var A=t.clamp(Math.min(e.minZoom,o,c),a.minZoom,a.maxZoom),M=w/a.zoomScale(A-o);_=Math.sqrt(M/k*2)}var S=_*_;function E(t){var e=(T*T-w*w+(t?-1:1)*S*S*k*k)/(2*(t?T:w)*S*k);return Math.log(Math.sqrt(e*e+1)-e)}function L(t){return(Math.exp(t)-Math.exp(-t))/2}function C(t){return(Math.exp(t)+Math.exp(-t))/2}var P=E(0),O=function(t){return C(P)/C(P+_*t)},I=function(t){return w*((C(P)*(L(e=P+_*t)/C(e))-L(P))/S)/k;var e},D=(E(1)-P)/_;if(Math.abs(k)<1e-6||!isFinite(D)){if(Math.abs(w-T)<1e-6)return this.easeTo(e,r);var z=Te.maxDuration&&(e.duration=0),this._zooming=!0,this._rotating=s!==f,this._pitching=h!==l,this._padding=!a.isPaddingEqual(p),this._prepareEase(r,!1),this._ease((function(e){var i=e*D,d=1/O(i);a.zoom=1===e?c:o+a.scaleZoom(d),n._rotating&&(a.bearing=t.number(s,f,e)),n._pitching&&(a.pitch=t.number(l,h,e)),n._padding&&(a.interpolatePadding(u,p,e),g=a.centerPoint.add(v));var y=1===e?m:a.unproject(x.add(b.mult(I(i))).mult(d));a.setLocationAtPoint(a.renderWorldCopies?y.wrap():y,g),n._fireMoveEvents(r)}),(function(){return n._afterEase(r)}),e),this},r.prototype.isEasing=function(){return!!this._easeFrameId},r.prototype.stop=function(){return this._stop()},r.prototype._stop=function(t,e){if(this._easeFrameId&&(this._cancelRenderFrame(this._easeFrameId),delete this._easeFrameId,delete this._onEaseFrame),this._onEaseEnd){var r=this._onEaseEnd;delete this._onEaseEnd,r.call(this,e)}if(!t){var n=this.handlers;n&&n.stop(!1)}return this},r.prototype._ease=function(e,r,n){!1===n.animate||0===n.duration?(e(1),r()):(this._easeStart=t.browser.now(),this._easeOptions=n,this._onEaseFrame=e,this._onEaseEnd=r,this._easeFrameId=this._requestRenderFrame(this._renderFrameCallback))},r.prototype._renderFrameCallback=function(){var e=Math.min((t.browser.now()-this._easeStart)/this._easeOptions.duration,1);this._onEaseFrame(this._easeOptions.easing(e)),e<1?this._easeFrameId=this._requestRenderFrame(this._renderFrameCallback):this.stop()},r.prototype._normalizeBearing=function(e,r){e=t.wrap(e,-180,180);var n=Math.abs(e-r);return Math.abs(e-360-r)180?-360:r<-180?360:0}},r}(t.Evented),Ei=function(e){void 0===e&&(e={}),this.options=e,t.bindAll(["_toggleAttribution","_updateEditLink","_updateData","_updateCompact"],this)};Ei.prototype.getDefaultPosition=function(){return"bottom-right"},Ei.prototype.onAdd=function(t){var e=this.options&&this.options.compact;return this._map=t,this._container=r.create("div","mapboxgl-ctrl mapboxgl-ctrl-attrib"),this._compactButton=r.create("button","mapboxgl-ctrl-attrib-button",this._container),this._compactButton.addEventListener("click",this._toggleAttribution),this._setElementTitle(this._compactButton,"ToggleAttribution"),this._innerContainer=r.create("div","mapboxgl-ctrl-attrib-inner",this._container),this._innerContainer.setAttribute("role","list"),e&&this._container.classList.add("mapboxgl-compact"),this._updateAttributions(),this._updateEditLink(),this._map.on("styledata",this._updateData),this._map.on("sourcedata",this._updateData),this._map.on("moveend",this._updateEditLink),void 0===e&&(this._map.on("resize",this._updateCompact),this._updateCompact()),this._container},Ei.prototype.onRemove=function(){r.remove(this._container),this._map.off("styledata",this._updateData),this._map.off("sourcedata",this._updateData),this._map.off("moveend",this._updateEditLink),this._map.off("resize",this._updateCompact),this._map=void 0,this._attribHTML=void 0},Ei.prototype._setElementTitle=function(t,e){var r=this._map._getUIString("AttributionControl."+e);t.title=r,t.setAttribute("aria-label",r)},Ei.prototype._toggleAttribution=function(){this._container.classList.contains("mapboxgl-compact-show")?(this._container.classList.remove("mapboxgl-compact-show"),this._compactButton.setAttribute("aria-pressed","false")):(this._container.classList.add("mapboxgl-compact-show"),this._compactButton.setAttribute("aria-pressed","true"))},Ei.prototype._updateEditLink=function(){var e=this._editLink;e||(e=this._editLink=this._container.querySelector(".mapbox-improve-map"));var r=[{key:"owner",value:this.styleOwner},{key:"id",value:this.styleId},{key:"access_token",value:this._map._requestManager._customAccessToken||t.config.ACCESS_TOKEN}];if(e){var n=r.reduce((function(t,e,n){return e.value&&(t+=e.key+"="+e.value+(n=0)return!1;return!0}))).join(" | ");o!==this._attribHTML&&(this._attribHTML=o,t.length?(this._innerContainer.innerHTML=o,this._container.classList.remove("mapboxgl-attrib-empty")):this._container.classList.add("mapboxgl-attrib-empty"),this._editLink=null)}},Ei.prototype._updateCompact=function(){this._map.getCanvasContainer().offsetWidth<=640?this._container.classList.add("mapboxgl-compact"):this._container.classList.remove("mapboxgl-compact","mapboxgl-compact-show")};var Li=function(){t.bindAll(["_updateLogo"],this),t.bindAll(["_updateCompact"],this)};Li.prototype.onAdd=function(t){this._map=t,this._container=r.create("div","mapboxgl-ctrl");var e=r.create("a","mapboxgl-ctrl-logo");return e.target="_blank",e.rel="noopener nofollow",e.href="https://www.mapbox.com/",e.setAttribute("aria-label",this._map._getUIString("LogoControl.Title")),e.setAttribute("rel","noopener nofollow"),this._container.appendChild(e),this._container.style.display="none",this._map.on("sourcedata",this._updateLogo),this._updateLogo(),this._map.on("resize",this._updateCompact),this._updateCompact(),this._container},Li.prototype.onRemove=function(){r.remove(this._container),this._map.off("sourcedata",this._updateLogo),this._map.off("resize",this._updateCompact)},Li.prototype.getDefaultPosition=function(){return"bottom-left"},Li.prototype._updateLogo=function(t){t&&"metadata"!==t.sourceDataType||(this._container.style.display=this._logoRequired()?"block":"none")},Li.prototype._logoRequired=function(){if(this._map.style){var t=this._map.style.sourceCaches;for(var e in t)if(t[e].getSource().mapbox_logo)return!0;return!1}},Li.prototype._updateCompact=function(){var t=this._container.children;if(t.length){var e=t[0];this._map.getCanvasContainer().offsetWidth<250?e.classList.add("mapboxgl-compact"):e.classList.remove("mapboxgl-compact")}};var Ci=function(){this._queue=[],this._id=0,this._cleared=!1,this._currentlyRunning=!1};Ci.prototype.add=function(t){var e=++this._id;return this._queue.push({callback:t,id:e,cancelled:!1}),e},Ci.prototype.remove=function(t){for(var e=this._currentlyRunning,r=0,n=e?this._queue.concat(e):this._queue;re.maxZoom)throw new Error("maxZoom must be greater than or equal to minZoom");if(null!=e.minPitch&&null!=e.maxPitch&&e.minPitch>e.maxPitch)throw new Error("maxPitch must be greater than or equal to minPitch");if(null!=e.minPitch&&e.minPitch<0)throw new Error("minPitch must be greater than or equal to 0");if(null!=e.maxPitch&&e.maxPitch>zi)throw new Error("maxPitch must be less than or equal to 60");var i=new Pn(e.minZoom,e.maxZoom,e.minPitch,e.maxPitch,e.renderWorldCopies);if(n.call(this,i,e),this._interactive=e.interactive,this._maxTileCacheSize=e.maxTileCacheSize,this._failIfMajorPerformanceCaveat=e.failIfMajorPerformanceCaveat,this._preserveDrawingBuffer=e.preserveDrawingBuffer,this._antialias=e.antialias,this._trackResize=e.trackResize,this._bearingSnap=e.bearingSnap,this._refreshExpiredTiles=e.refreshExpiredTiles,this._fadeDuration=e.fadeDuration,this._crossSourceCollisions=e.crossSourceCollisions,this._crossFadingFactor=1,this._collectResourceTiming=e.collectResourceTiming,this._renderTaskQueue=new Ci,this._controls=[],this._mapId=t.uniqueId(),this._locale=t.extend({},Pi,e.locale),this._clickTolerance=e.clickTolerance,this._requestManager=new t.RequestManager(e.transformRequest,e.accessToken),"string"==typeof e.container){if(this._container=t.window.document.getElementById(e.container),!this._container)throw new Error("Container '"+e.container+"' not found.")}else{if(!(e.container instanceof Ii))throw new Error("Invalid type: 'container' must be a String or HTMLElement.");this._container=e.container}if(e.maxBounds&&this.setMaxBounds(e.maxBounds),t.bindAll(["_onWindowOnline","_onWindowResize","_onMapScroll","_contextLost","_contextRestored"],this),this._setupContainer(),this._setupPainter(),void 0===this.painter)throw new Error("Failed to initialize WebGL.");this.on("move",(function(){return r._update(!1)})),this.on("moveend",(function(){return r._update(!1)})),this.on("zoom",(function(){return r._update(!0)})),void 0!==t.window&&(t.window.addEventListener("online",this._onWindowOnline,!1),t.window.addEventListener("resize",this._onWindowResize,!1),t.window.addEventListener("orientationchange",this._onWindowResize,!1)),this.handlers=new Mi(this,e);var a="string"==typeof e.hash&&e.hash||void 0;this._hash=e.hash&&new In(a).addTo(this),this._hash&&this._hash._onHashChange()||(this.jumpTo({center:e.center,zoom:e.zoom,bearing:e.bearing,pitch:e.pitch}),e.bounds&&(this.resize(),this.fitBounds(e.bounds,t.extend({},e.fitBoundsOptions,{duration:0})))),this.resize(),this._localIdeographFontFamily=e.localIdeographFontFamily,e.style&&this.setStyle(e.style,{localIdeographFontFamily:e.localIdeographFontFamily}),e.attributionControl&&this.addControl(new Ei({customAttribution:e.customAttribution})),this.addControl(new Li,e.logoPosition),this.on("style.load",(function(){r.transform.unmodified&&r.jumpTo(r.style.stylesheet)})),this.on("data",(function(e){r._update("style"===e.dataType),r.fire(new t.Event(e.dataType+"data",e))})),this.on("dataloading",(function(e){r.fire(new t.Event(e.dataType+"dataloading",e))}))}n&&(i.__proto__=n),i.prototype=Object.create(n&&n.prototype),i.prototype.constructor=i;var a={showTileBoundaries:{configurable:!0},showPadding:{configurable:!0},showCollisionBoxes:{configurable:!0},showOverdrawInspector:{configurable:!0},repaint:{configurable:!0},vertices:{configurable:!0},version:{configurable:!0}};return i.prototype._getMapId=function(){return this._mapId},i.prototype.addControl=function(e,r){if(void 0===r&&(r=e.getDefaultPosition?e.getDefaultPosition():"top-right"),!e||!e.onAdd)return this.fire(new t.ErrorEvent(new Error("Invalid argument to map.addControl(). Argument must be a control with onAdd and onRemove methods.")));var n=e.onAdd(this);this._controls.push(e);var i=this._controlPositions[r];return-1!==r.indexOf("bottom")?i.insertBefore(n,i.firstChild):i.appendChild(n),this},i.prototype.removeControl=function(e){if(!e||!e.onRemove)return this.fire(new t.ErrorEvent(new Error("Invalid argument to map.removeControl(). Argument must be a control with onAdd and onRemove methods.")));var r=this._controls.indexOf(e);return r>-1&&this._controls.splice(r,1),e.onRemove(this),this},i.prototype.hasControl=function(t){return this._controls.indexOf(t)>-1},i.prototype.resize=function(e){var r=this._containerDimensions(),n=r[0],i=r[1];this._resizeCanvas(n,i),this.transform.resize(n,i),this.painter.resize(n,i);var a=!this._moving;return a&&(this.stop(),this.fire(new t.Event("movestart",e)).fire(new t.Event("move",e))),this.fire(new t.Event("resize",e)),a&&this.fire(new t.Event("moveend",e)),this},i.prototype.getBounds=function(){return this.transform.getBounds()},i.prototype.getMaxBounds=function(){return this.transform.getMaxBounds()},i.prototype.setMaxBounds=function(e){return this.transform.setMaxBounds(t.LngLatBounds.convert(e)),this._update()},i.prototype.setMinZoom=function(t){if((t=null==t?-2:t)>=-2&&t<=this.transform.maxZoom)return this.transform.minZoom=t,this._update(),this.getZoom()=this.transform.minZoom)return this.transform.maxZoom=t,this._update(),this.getZoom()>t&&this.setZoom(t),this;throw new Error("maxZoom must be greater than the current minZoom")},i.prototype.getMaxZoom=function(){return this.transform.maxZoom},i.prototype.setMinPitch=function(t){if((t=null==t?0:t)<0)throw new Error("minPitch must be greater than or equal to 0");if(t>=0&&t<=this.transform.maxPitch)return this.transform.minPitch=t,this._update(),this.getPitch()zi)throw new Error("maxPitch must be less than or equal to 60");if(t>=this.transform.minPitch)return this.transform.maxPitch=t,this._update(),this.getPitch()>t&&this.setPitch(t),this;throw new Error("maxPitch must be greater than the current minPitch")},i.prototype.getMaxPitch=function(){return this.transform.maxPitch},i.prototype.getRenderWorldCopies=function(){return this.transform.renderWorldCopies},i.prototype.setRenderWorldCopies=function(t){return this.transform.renderWorldCopies=t,this._update()},i.prototype.project=function(e){return this.transform.locationPoint(t.LngLat.convert(e))},i.prototype.unproject=function(e){return this.transform.pointLocation(t.Point.convert(e))},i.prototype.isMoving=function(){return this._moving||this.handlers.isMoving()},i.prototype.isZooming=function(){return this._zooming||this.handlers.isZooming()},i.prototype.isRotating=function(){return this._rotating||this.handlers.isRotating()},i.prototype._createDelegatedListener=function(t,e,r){var n,i=this;if("mouseenter"===t||"mouseover"===t){var a=!1;return{layer:e,listener:r,delegates:{mousemove:function(n){var o=i.getLayer(e)?i.queryRenderedFeatures(n.point,{layers:[e]}):[];o.length?a||(a=!0,r.call(i,new Vn(t,i,n.originalEvent,{features:o}))):a=!1},mouseout:function(){a=!1}}}}if("mouseleave"===t||"mouseout"===t){var o=!1;return{layer:e,listener:r,delegates:{mousemove:function(n){(i.getLayer(e)?i.queryRenderedFeatures(n.point,{layers:[e]}):[]).length?o=!0:o&&(o=!1,r.call(i,new Vn(t,i,n.originalEvent)))},mouseout:function(e){o&&(o=!1,r.call(i,new Vn(t,i,e.originalEvent)))}}}}return{layer:e,listener:r,delegates:(n={},n[t]=function(t){var n=i.getLayer(e)?i.queryRenderedFeatures(t.point,{layers:[e]}):[];n.length&&(t.features=n,r.call(i,t),delete t.features)},n)}},i.prototype.on=function(t,e,r){if(void 0===r)return n.prototype.on.call(this,t,e);var i=this._createDelegatedListener(t,e,r);for(var a in this._delegatedListeners=this._delegatedListeners||{},this._delegatedListeners[t]=this._delegatedListeners[t]||[],this._delegatedListeners[t].push(i),i.delegates)this.on(a,i.delegates[a]);return this},i.prototype.once=function(t,e,r){if(void 0===r)return n.prototype.once.call(this,t,e);var i=this._createDelegatedListener(t,e,r);for(var a in i.delegates)this.once(a,i.delegates[a]);return this},i.prototype.off=function(t,e,r){var i=this;if(void 0===r)return n.prototype.off.call(this,t,e);return this._delegatedListeners&&this._delegatedListeners[t]&&function(n){for(var a=n[t],o=0;o180;){var s=n.locationPoint(e);if(s.x>=0&&s.y>=0&&s.x<=n.width&&s.y<=n.height)break;e.lng>n.center.lng?e.lng-=360:e.lng+=360}return e}Ui.prototype.down=function(t,e){this.mouseRotate.mousedown(t,e),this.mousePitch&&this.mousePitch.mousedown(t,e),r.disableDrag()},Ui.prototype.move=function(t,e){var r=this.map,n=this.mouseRotate.mousemoveWindow(t,e);if(n&&n.bearingDelta&&r.setBearing(r.getBearing()+n.bearingDelta),this.mousePitch){var i=this.mousePitch.mousemoveWindow(t,e);i&&i.pitchDelta&&r.setPitch(r.getPitch()+i.pitchDelta)}},Ui.prototype.off=function(){var t=this.element;r.removeEventListener(t,"mousedown",this.mousedown),r.removeEventListener(t,"touchstart",this.touchstart,{passive:!1}),r.removeEventListener(t,"touchmove",this.touchmove),r.removeEventListener(t,"touchend",this.touchend),r.removeEventListener(t,"touchcancel",this.reset),this.offTemp()},Ui.prototype.offTemp=function(){r.enableDrag(),r.removeEventListener(t.window,"mousemove",this.mousemove),r.removeEventListener(t.window,"mouseup",this.mouseup)},Ui.prototype.mousedown=function(e){this.down(t.extend({},e,{ctrlKey:!0,preventDefault:function(){return e.preventDefault()}}),r.mousePos(this.element,e)),r.addEventListener(t.window,"mousemove",this.mousemove),r.addEventListener(t.window,"mouseup",this.mouseup)},Ui.prototype.mousemove=function(t){this.move(t,r.mousePos(this.element,t))},Ui.prototype.mouseup=function(t){this.mouseRotate.mouseupWindow(t),this.mousePitch&&this.mousePitch.mouseupWindow(t),this.offTemp()},Ui.prototype.touchstart=function(t){1!==t.targetTouches.length?this.reset():(this._startPos=this._lastPos=r.touchPos(this.element,t.targetTouches)[0],this.down({type:"mousedown",button:0,ctrlKey:!0,preventDefault:function(){return t.preventDefault()}},this._startPos))},Ui.prototype.touchmove=function(t){1!==t.targetTouches.length?this.reset():(this._lastPos=r.touchPos(this.element,t.targetTouches)[0],this.move({preventDefault:function(){return t.preventDefault()}},this._lastPos))},Ui.prototype.touchend=function(t){0===t.targetTouches.length&&this._startPos&&this._lastPos&&this._startPos.dist(this._lastPos)=r}this._isDragging&&(this._pos=e.point.sub(this._positionDelta),this._lngLat=this._map.unproject(this._pos),this.setLngLat(this._lngLat),this._element.style.pointerEvents="none","pending"===this._state&&(this._state="active",this.fire(new t.Event("dragstart"))),this.fire(new t.Event("drag")))},n.prototype._onUp=function(){this._element.style.pointerEvents="auto",this._positionDelta=null,this._pointerdownPos=null,this._isDragging=!1,this._map.off("mousemove",this._onMove),this._map.off("touchmove",this._onMove),"active"===this._state&&this.fire(new t.Event("dragend")),this._state="inactive"},n.prototype._addDragHandler=function(t){this._element.contains(t.originalEvent.target)&&(t.preventDefault(),this._positionDelta=t.point.sub(this._pos).add(this._offset),this._pointerdownPos=t.point,this._state="pending",this._map.on("mousemove",this._onMove),this._map.on("touchmove",this._onMove),this._map.once("mouseup",this._onUp),this._map.once("touchend",this._onUp))},n.prototype.setDraggable=function(t){return this._draggable=!!t,this._map&&(t?(this._map.on("mousedown",this._addDragHandler),this._map.on("touchstart",this._addDragHandler)):(this._map.off("mousedown",this._addDragHandler),this._map.off("touchstart",this._addDragHandler))),this},n.prototype.isDraggable=function(){return this._draggable},n.prototype.setRotation=function(t){return this._rotation=t||0,this._update(),this},n.prototype.getRotation=function(){return this._rotation},n.prototype.setRotationAlignment=function(t){return this._rotationAlignment=t||"auto",this._update(),this},n.prototype.getRotationAlignment=function(){return this._rotationAlignment},n.prototype.setPitchAlignment=function(t){return this._pitchAlignment=t&&"auto"!==t?t:this._rotationAlignment,this._update(),this},n.prototype.getPitchAlignment=function(){return this._pitchAlignment},n}(t.Evented),Yi={positionOptions:{enableHighAccuracy:!1,maximumAge:0,timeout:6e3},fitBoundsOptions:{maxZoom:15},trackUserLocation:!1,showAccuracyCircle:!0,showUserLocation:!0};var Xi=0,Zi=!1,Ki=function(e){function n(r){e.call(this),this.options=t.extend({},Yi,r),t.bindAll(["_onSuccess","_onError","_onZoom","_finish","_setupUI","_updateCamera","_updateMarker"],this)}return e&&(n.__proto__=e),n.prototype=Object.create(e&&e.prototype),n.prototype.constructor=n,n.prototype.onAdd=function(e){return this._map=e,this._container=r.create("div","mapboxgl-ctrl mapboxgl-ctrl-group"),n=this._setupUI,void 0!==Gi?n(Gi):void 0!==t.window.navigator.permissions?t.window.navigator.permissions.query({name:"geolocation"}).then((function(t){Gi="denied"!==t.state,n(Gi)})):(Gi=!!t.window.navigator.geolocation,n(Gi)),this._container;var n},n.prototype.onRemove=function(){void 0!==this._geolocationWatchID&&(t.window.navigator.geolocation.clearWatch(this._geolocationWatchID),this._geolocationWatchID=void 0),this.options.showUserLocation&&this._userLocationDotMarker&&this._userLocationDotMarker.remove(),this.options.showAccuracyCircle&&this._accuracyCircleMarker&&this._accuracyCircleMarker.remove(),r.remove(this._container),this._map.off("zoom",this._onZoom),this._map=void 0,Xi=0,Zi=!1},n.prototype._isOutOfMapMaxBounds=function(t){var e=this._map.getMaxBounds(),r=t.coords;return e&&(r.longitudee.getEast()||r.latitudee.getNorth())},n.prototype._setErrorState=function(){switch(this._watchState){case"WAITING_ACTIVE":this._watchState="ACTIVE_ERROR",this._geolocateButton.classList.remove("mapboxgl-ctrl-geolocate-active"),this._geolocateButton.classList.add("mapboxgl-ctrl-geolocate-active-error");break;case"ACTIVE_LOCK":this._watchState="ACTIVE_ERROR",this._geolocateButton.classList.remove("mapboxgl-ctrl-geolocate-active"),this._geolocateButton.classList.add("mapboxgl-ctrl-geolocate-active-error"),this._geolocateButton.classList.add("mapboxgl-ctrl-geolocate-waiting");break;case"BACKGROUND":this._watchState="BACKGROUND_ERROR",this._geolocateButton.classList.remove("mapboxgl-ctrl-geolocate-background"),this._geolocateButton.classList.add("mapboxgl-ctrl-geolocate-background-error"),this._geolocateButton.classList.add("mapboxgl-ctrl-geolocate-waiting")}},n.prototype._onSuccess=function(e){if(this._map){if(this._isOutOfMapMaxBounds(e))return this._setErrorState(),this.fire(new t.Event("outofmaxbounds",e)),this._updateMarker(),void this._finish();if(this.options.trackUserLocation)switch(this._lastKnownPosition=e,this._watchState){case"WAITING_ACTIVE":case"ACTIVE_LOCK":case"ACTIVE_ERROR":this._watchState="ACTIVE_LOCK",this._geolocateButton.classList.remove("mapboxgl-ctrl-geolocate-waiting"),this._geolocateButton.classList.remove("mapboxgl-ctrl-geolocate-active-error"),this._geolocateButton.classList.add("mapboxgl-ctrl-geolocate-active");break;case"BACKGROUND":case"BACKGROUND_ERROR":this._watchState="BACKGROUND",this._geolocateButton.classList.remove("mapboxgl-ctrl-geolocate-waiting"),this._geolocateButton.classList.remove("mapboxgl-ctrl-geolocate-background-error"),this._geolocateButton.classList.add("mapboxgl-ctrl-geolocate-background")}this.options.showUserLocation&&"OFF"!==this._watchState&&this._updateMarker(e),this.options.trackUserLocation&&"ACTIVE_LOCK"!==this._watchState||this._updateCamera(e),this.options.showUserLocation&&this._dotElement.classList.remove("mapboxgl-user-location-dot-stale"),this.fire(new t.Event("geolocate",e)),this._finish()}},n.prototype._updateCamera=function(e){var r=new t.LngLat(e.coords.longitude,e.coords.latitude),n=e.coords.accuracy,i=this._map.getBearing(),a=t.extend({bearing:i},this.options.fitBoundsOptions);this._map.fitBounds(r.toBounds(n),a,{geolocateSource:!0})},n.prototype._updateMarker=function(e){if(e){var r=new t.LngLat(e.coords.longitude,e.coords.latitude);this._accuracyCircleMarker.setLngLat(r).addTo(this._map),this._userLocationDotMarker.setLngLat(r).addTo(this._map),this._accuracy=e.coords.accuracy,this.options.showUserLocation&&this.options.showAccuracyCircle&&this._updateCircleRadius()}else this._userLocationDotMarker.remove(),this._accuracyCircleMarker.remove()},n.prototype._updateCircleRadius=function(){var t=this._map._container.clientHeight/2,e=this._map.unproject([0,t]),r=this._map.unproject([1,t]),n=e.distanceTo(r),i=Math.ceil(2*this._accuracy/n);this._circleElement.style.width=i+"px",this._circleElement.style.height=i+"px"},n.prototype._onZoom=function(){this.options.showUserLocation&&this.options.showAccuracyCircle&&this._updateCircleRadius()},n.prototype._onError=function(e){if(this._map){if(this.options.trackUserLocation)if(1===e.code){this._watchState="OFF",this._geolocateButton.classList.remove("mapboxgl-ctrl-geolocate-waiting"),this._geolocateButton.classList.remove("mapboxgl-ctrl-geolocate-active"),this._geolocateButton.classList.remove("mapboxgl-ctrl-geolocate-active-error"),this._geolocateButton.classList.remove("mapboxgl-ctrl-geolocate-background"),this._geolocateButton.classList.remove("mapboxgl-ctrl-geolocate-background-error"),this._geolocateButton.disabled=!0;var r=this._map._getUIString("GeolocateControl.LocationNotAvailable");this._geolocateButton.title=r,this._geolocateButton.setAttribute("aria-label",r),void 0!==this._geolocationWatchID&&this._clearWatch()}else{if(3===e.code&&Zi)return;this._setErrorState()}"OFF"!==this._watchState&&this.options.showUserLocation&&this._dotElement.classList.add("mapboxgl-user-location-dot-stale"),this.fire(new t.Event("error",e)),this._finish()}},n.prototype._finish=function(){this._timeoutId&&clearTimeout(this._timeoutId),this._timeoutId=void 0},n.prototype._setupUI=function(e){var n=this;if(this._container.addEventListener("contextmenu",(function(t){return t.preventDefault()})),this._geolocateButton=r.create("button","mapboxgl-ctrl-geolocate",this._container),r.create("span","mapboxgl-ctrl-icon",this._geolocateButton).setAttribute("aria-hidden",!0),this._geolocateButton.type="button",!1===e){t.warnOnce("Geolocation support is not available so the GeolocateControl will be disabled.");var i=this._map._getUIString("GeolocateControl.LocationNotAvailable");this._geolocateButton.disabled=!0,this._geolocateButton.title=i,this._geolocateButton.setAttribute("aria-label",i)}else{var a=this._map._getUIString("GeolocateControl.FindMyLocation");this._geolocateButton.title=a,this._geolocateButton.setAttribute("aria-label",a)}this.options.trackUserLocation&&(this._geolocateButton.setAttribute("aria-pressed","false"),this._watchState="OFF"),this.options.showUserLocation&&(this._dotElement=r.create("div","mapboxgl-user-location-dot"),this._userLocationDotMarker=new Wi(this._dotElement),this._circleElement=r.create("div","mapboxgl-user-location-accuracy-circle"),this._accuracyCircleMarker=new Wi({element:this._circleElement,pitchAlignment:"map"}),this.options.trackUserLocation&&(this._watchState="OFF"),this._map.on("zoom",this._onZoom)),this._geolocateButton.addEventListener("click",this.trigger.bind(this)),this._setup=!0,this.options.trackUserLocation&&this._map.on("movestart",(function(e){var r=e.originalEvent&&"resize"===e.originalEvent.type;e.geolocateSource||"ACTIVE_LOCK"!==n._watchState||r||(n._watchState="BACKGROUND",n._geolocateButton.classList.add("mapboxgl-ctrl-geolocate-background"),n._geolocateButton.classList.remove("mapboxgl-ctrl-geolocate-active"),n.fire(new t.Event("trackuserlocationend")))}))},n.prototype.trigger=function(){if(!this._setup)return t.warnOnce("Geolocate control triggered before added to a map"),!1;if(this.options.trackUserLocation){switch(this._watchState){case"OFF":this._watchState="WAITING_ACTIVE",this.fire(new t.Event("trackuserlocationstart"));break;case"WAITING_ACTIVE":case"ACTIVE_LOCK":case"ACTIVE_ERROR":case"BACKGROUND_ERROR":Xi--,Zi=!1,this._watchState="OFF",this._geolocateButton.classList.remove("mapboxgl-ctrl-geolocate-waiting"),this._geolocateButton.classList.remove("mapboxgl-ctrl-geolocate-active"),this._geolocateButton.classList.remove("mapboxgl-ctrl-geolocate-active-error"),this._geolocateButton.classList.remove("mapboxgl-ctrl-geolocate-background"),this._geolocateButton.classList.remove("mapboxgl-ctrl-geolocate-background-error"),this.fire(new t.Event("trackuserlocationend"));break;case"BACKGROUND":this._watchState="ACTIVE_LOCK",this._geolocateButton.classList.remove("mapboxgl-ctrl-geolocate-background"),this._lastKnownPosition&&this._updateCamera(this._lastKnownPosition),this.fire(new t.Event("trackuserlocationstart"))}switch(this._watchState){case"WAITING_ACTIVE":this._geolocateButton.classList.add("mapboxgl-ctrl-geolocate-waiting"),this._geolocateButton.classList.add("mapboxgl-ctrl-geolocate-active");break;case"ACTIVE_LOCK":this._geolocateButton.classList.add("mapboxgl-ctrl-geolocate-active");break;case"ACTIVE_ERROR":this._geolocateButton.classList.add("mapboxgl-ctrl-geolocate-waiting"),this._geolocateButton.classList.add("mapboxgl-ctrl-geolocate-active-error");break;case"BACKGROUND":this._geolocateButton.classList.add("mapboxgl-ctrl-geolocate-background");break;case"BACKGROUND_ERROR":this._geolocateButton.classList.add("mapboxgl-ctrl-geolocate-waiting"),this._geolocateButton.classList.add("mapboxgl-ctrl-geolocate-background-error")}if("OFF"===this._watchState&&void 0!==this._geolocationWatchID)this._clearWatch();else if(void 0===this._geolocationWatchID){var e;this._geolocateButton.classList.add("mapboxgl-ctrl-geolocate-waiting"),this._geolocateButton.setAttribute("aria-pressed","true"),++Xi>1?(e={maximumAge:6e5,timeout:0},Zi=!0):(e=this.options.positionOptions,Zi=!1),this._geolocationWatchID=t.window.navigator.geolocation.watchPosition(this._onSuccess,this._onError,e)}}else t.window.navigator.geolocation.getCurrentPosition(this._onSuccess,this._onError,this.options.positionOptions),this._timeoutId=setTimeout(this._finish,1e4);return!0},n.prototype._clearWatch=function(){t.window.navigator.geolocation.clearWatch(this._geolocationWatchID),this._geolocationWatchID=void 0,this._geolocateButton.classList.remove("mapboxgl-ctrl-geolocate-waiting"),this._geolocateButton.setAttribute("aria-pressed","false"),this.options.showUserLocation&&this._updateMarker(null)},n}(t.Evented),Ji={maxWidth:100,unit:"metric"},$i=function(e){this.options=t.extend({},Ji,e),t.bindAll(["_onMove","setUnit"],this)};function Qi(t,e,r){var n=r&&r.maxWidth||100,i=t._container.clientHeight/2,a=t.unproject([0,i]),o=t.unproject([n,i]),s=a.distanceTo(o);if(r&&"imperial"===r.unit){var l=3.2808*s;l>5280?ta(e,n,l/5280,t._getUIString("ScaleControl.Miles")):ta(e,n,l,t._getUIString("ScaleControl.Feet"))}else r&&"nautical"===r.unit?ta(e,n,s/1852,t._getUIString("ScaleControl.NauticalMiles")):s>=1e3?ta(e,n,s/1e3,t._getUIString("ScaleControl.Kilometers")):ta(e,n,s,t._getUIString("ScaleControl.Meters"))}function ta(t,e,r,n){var i,a,o,s=(i=r,(a=Math.pow(10,(""+Math.floor(i)).length-1))*((o=i/a)>=10?10:o>=5?5:o>=3?3:o>=2?2:o>=1?1:function(t){var e=Math.pow(10,Math.ceil(-Math.log(t)/Math.LN10));return Math.round(t*e)/e}(o))),l=s/r;t.style.width=e*l+"px",t.innerHTML=s+" "+n}$i.prototype.getDefaultPosition=function(){return"bottom-left"},$i.prototype._onMove=function(){Qi(this._map,this._container,this.options)},$i.prototype.onAdd=function(t){return this._map=t,this._container=r.create("div","mapboxgl-ctrl mapboxgl-ctrl-scale",t.getContainer()),this._map.on("move",this._onMove),this._onMove(),this._container},$i.prototype.onRemove=function(){r.remove(this._container),this._map.off("move",this._onMove),this._map=void 0},$i.prototype.setUnit=function(t){this.options.unit=t,Qi(this._map,this._container,this.options)};var ea=function(e){this._fullscreen=!1,e&&e.container&&(e.container instanceof t.window.HTMLElement?this._container=e.container:t.warnOnce("Full screen control 'container' must be a DOM element.")),t.bindAll(["_onClickFullscreen","_changeIcon"],this),"onfullscreenchange"in t.window.document?this._fullscreenchange="fullscreenchange":"onmozfullscreenchange"in t.window.document?this._fullscreenchange="mozfullscreenchange":"onwebkitfullscreenchange"in t.window.document?this._fullscreenchange="webkitfullscreenchange":"onmsfullscreenchange"in t.window.document&&(this._fullscreenchange="MSFullscreenChange")};ea.prototype.onAdd=function(e){return this._map=e,this._container||(this._container=this._map.getContainer()),this._controlContainer=r.create("div","mapboxgl-ctrl mapboxgl-ctrl-group"),this._checkFullscreenSupport()?this._setupUI():(this._controlContainer.style.display="none",t.warnOnce("This device does not support fullscreen mode.")),this._controlContainer},ea.prototype.onRemove=function(){r.remove(this._controlContainer),this._map=null,t.window.document.removeEventListener(this._fullscreenchange,this._changeIcon)},ea.prototype._checkFullscreenSupport=function(){return!!(t.window.document.fullscreenEnabled||t.window.document.mozFullScreenEnabled||t.window.document.msFullscreenEnabled||t.window.document.webkitFullscreenEnabled)},ea.prototype._setupUI=function(){var e=this._fullscreenButton=r.create("button","mapboxgl-ctrl-fullscreen",this._controlContainer);r.create("span","mapboxgl-ctrl-icon",e).setAttribute("aria-hidden",!0),e.type="button",this._updateTitle(),this._fullscreenButton.addEventListener("click",this._onClickFullscreen),t.window.document.addEventListener(this._fullscreenchange,this._changeIcon)},ea.prototype._updateTitle=function(){var t=this._getTitle();this._fullscreenButton.setAttribute("aria-label",t),this._fullscreenButton.title=t},ea.prototype._getTitle=function(){return this._map._getUIString(this._isFullscreen()?"FullscreenControl.Exit":"FullscreenControl.Enter")},ea.prototype._isFullscreen=function(){return this._fullscreen},ea.prototype._changeIcon=function(){(t.window.document.fullscreenElement||t.window.document.mozFullScreenElement||t.window.document.webkitFullscreenElement||t.window.document.msFullscreenElement)===this._container!==this._fullscreen&&(this._fullscreen=!this._fullscreen,this._fullscreenButton.classList.toggle("mapboxgl-ctrl-shrink"),this._fullscreenButton.classList.toggle("mapboxgl-ctrl-fullscreen"),this._updateTitle())},ea.prototype._onClickFullscreen=function(){this._isFullscreen()?t.window.document.exitFullscreen?t.window.document.exitFullscreen():t.window.document.mozCancelFullScreen?t.window.document.mozCancelFullScreen():t.window.document.msExitFullscreen?t.window.document.msExitFullscreen():t.window.document.webkitCancelFullScreen&&t.window.document.webkitCancelFullScreen():this._container.requestFullscreen?this._container.requestFullscreen():this._container.mozRequestFullScreen?this._container.mozRequestFullScreen():this._container.msRequestFullscreen?this._container.msRequestFullscreen():this._container.webkitRequestFullscreen&&this._container.webkitRequestFullscreen()};var ra={closeButton:!0,closeOnClick:!0,focusAfterOpen:!0,className:"",maxWidth:"240px"},na=["a[href]","[tabindex]:not([tabindex='-1'])","[contenteditable]:not([contenteditable='false'])","button:not([disabled])","input:not([disabled])","select:not([disabled])","textarea:not([disabled])"].join(", "),ia=function(e){function n(r){e.call(this),this.options=t.extend(Object.create(ra),r),t.bindAll(["_update","_onClose","remove","_onMouseMove","_onMouseUp","_onDrag"],this)}return e&&(n.__proto__=e),n.prototype=Object.create(e&&e.prototype),n.prototype.constructor=n,n.prototype.addTo=function(e){return this._map&&this.remove(),this._map=e,this.options.closeOnClick&&this._map.on("click",this._onClose),this.options.closeOnMove&&this._map.on("move",this._onClose),this._map.on("remove",this.remove),this._update(),this._focusFirstElement(),this._trackPointer?(this._map.on("mousemove",this._onMouseMove),this._map.on("mouseup",this._onMouseUp),this._container&&this._container.classList.add("mapboxgl-popup-track-pointer"),this._map._canvasContainer.classList.add("mapboxgl-track-pointer")):this._map.on("move",this._update),this.fire(new t.Event("open")),this},n.prototype.isOpen=function(){return!!this._map},n.prototype.remove=function(){return this._content&&r.remove(this._content),this._container&&(r.remove(this._container),delete this._container),this._map&&(this._map.off("move",this._update),this._map.off("move",this._onClose),this._map.off("click",this._onClose),this._map.off("remove",this.remove),this._map.off("mousemove",this._onMouseMove),this._map.off("mouseup",this._onMouseUp),this._map.off("drag",this._onDrag),delete this._map),this.fire(new t.Event("close")),this},n.prototype.getLngLat=function(){return this._lngLat},n.prototype.setLngLat=function(e){return this._lngLat=t.LngLat.convert(e),this._pos=null,this._trackPointer=!1,this._update(),this._map&&(this._map.on("move",this._update),this._map.off("mousemove",this._onMouseMove),this._container&&this._container.classList.remove("mapboxgl-popup-track-pointer"),this._map._canvasContainer.classList.remove("mapboxgl-track-pointer")),this},n.prototype.trackPointer=function(){return this._trackPointer=!0,this._pos=null,this._update(),this._map&&(this._map.off("move",this._update),this._map.on("mousemove",this._onMouseMove),this._map.on("drag",this._onDrag),this._container&&this._container.classList.add("mapboxgl-popup-track-pointer"),this._map._canvasContainer.classList.add("mapboxgl-track-pointer")),this},n.prototype.getElement=function(){return this._container},n.prototype.setText=function(e){return this.setDOMContent(t.window.document.createTextNode(e))},n.prototype.setHTML=function(e){var r,n=t.window.document.createDocumentFragment(),i=t.window.document.createElement("body");for(i.innerHTML=e;r=i.firstChild;)n.appendChild(r);return this.setDOMContent(n)},n.prototype.getMaxWidth=function(){return this._container&&this._container.style.maxWidth},n.prototype.setMaxWidth=function(t){return this.options.maxWidth=t,this._update(),this},n.prototype.setDOMContent=function(t){if(this._content)for(;this._content.hasChildNodes();)this._content.firstChild&&this._content.removeChild(this._content.firstChild);else this._content=r.create("div","mapboxgl-popup-content",this._container);return this._content.appendChild(t),this._createCloseButton(),this._update(),this._focusFirstElement(),this},n.prototype.addClassName=function(t){this._container&&this._container.classList.add(t)},n.prototype.removeClassName=function(t){this._container&&this._container.classList.remove(t)},n.prototype.setOffset=function(t){return this.options.offset=t,this._update(),this},n.prototype.toggleClassName=function(t){if(this._container)return this._container.classList.toggle(t)},n.prototype._createCloseButton=function(){this.options.closeButton&&(this._closeButton=r.create("button","mapboxgl-popup-close-button",this._content),this._closeButton.type="button",this._closeButton.setAttribute("aria-label","Close popup"),this._closeButton.innerHTML="×",this._closeButton.addEventListener("click",this._onClose))},n.prototype._onMouseUp=function(t){this._update(t.point)},n.prototype._onMouseMove=function(t){this._update(t.point)},n.prototype._onDrag=function(t){this._update(t.point)},n.prototype._update=function(t){var e=this,n=this._lngLat||this._trackPointer;if(this._map&&n&&this._content&&(this._container||(this._container=r.create("div","mapboxgl-popup",this._map.getContainer()),this._tip=r.create("div","mapboxgl-popup-tip",this._container),this._container.appendChild(this._content),this.options.className&&this.options.className.split(" ").forEach((function(t){return e._container.classList.add(t)})),this._trackPointer&&this._container.classList.add("mapboxgl-popup-track-pointer")),this.options.maxWidth&&this._container.style.maxWidth!==this.options.maxWidth&&(this._container.style.maxWidth=this.options.maxWidth),this._map.transform.renderWorldCopies&&!this._trackPointer&&(this._lngLat=Vi(this._lngLat,this._pos,this._map.transform)),!this._trackPointer||t)){var i=this._pos=this._trackPointer&&t?t:this._map.project(this._lngLat),a=this.options.anchor,o=aa(this.options.offset);if(!a){var s,l=this._container.offsetWidth,u=this._container.offsetHeight;s=i.y+o.bottom.ythis._map.transform.height-u?["bottom"]:[],i.xthis._map.transform.width-l/2&&s.push("right"),a=0===s.length?"bottom":s.join("-")}var c=i.add(o[a]).round();r.setTransform(this._container,qi[a]+" translate("+c.x+"px,"+c.y+"px)"),Hi(this._container,a,"popup")}},n.prototype._focusFirstElement=function(){if(this.options.focusAfterOpen&&this._container){var t=this._container.querySelector(na);t&&t.focus()}},n.prototype._onClose=function(){this.remove()},n}(t.Evented);function aa(e){if(e){if("number"==typeof e){var r=Math.round(Math.sqrt(.5*Math.pow(e,2)));return{center:new t.Point(0,0),top:new t.Point(0,e),"top-left":new t.Point(r,r),"top-right":new t.Point(-r,r),bottom:new t.Point(0,-e),"bottom-left":new t.Point(r,-r),"bottom-right":new t.Point(-r,-r),left:new t.Point(e,0),right:new t.Point(-e,0)}}if(e instanceof t.Point||Array.isArray(e)){var n=t.Point.convert(e);return{center:n,top:n,"top-left":n,"top-right":n,bottom:n,"bottom-left":n,"bottom-right":n,left:n,right:n}}return{center:t.Point.convert(e.center||[0,0]),top:t.Point.convert(e.top||[0,0]),"top-left":t.Point.convert(e["top-left"]||[0,0]),"top-right":t.Point.convert(e["top-right"]||[0,0]),bottom:t.Point.convert(e.bottom||[0,0]),"bottom-left":t.Point.convert(e["bottom-left"]||[0,0]),"bottom-right":t.Point.convert(e["bottom-right"]||[0,0]),left:t.Point.convert(e.left||[0,0]),right:t.Point.convert(e.right||[0,0])}}return aa(new t.Point(0,0))}var oa={version:t.version,supported:e,setRTLTextPlugin:t.setRTLTextPlugin,getRTLTextPluginStatus:t.getRTLTextPluginStatus,Map:Fi,NavigationControl:ji,GeolocateControl:Ki,AttributionControl:Ei,ScaleControl:$i,FullscreenControl:ea,Popup:ia,Marker:Wi,Style:Ye,LngLat:t.LngLat,LngLatBounds:t.LngLatBounds,Point:t.Point,MercatorCoordinate:t.MercatorCoordinate,Evented:t.Evented,config:t.config,prewarm:function(){jt().acquire(Rt)},clearPrewarmedResources:function(){var t=Bt;t&&(t.isPreloaded()&&1===t.numActive()?(t.release(Rt),Bt=null):console.warn("Could not clear WebWorkers since there are active Map instances that still reference it. The pre-warmed WebWorker pool can only be cleared when all map instances have been removed with map.remove()"))},get accessToken(){return t.config.ACCESS_TOKEN},set accessToken(e){t.config.ACCESS_TOKEN=e},get baseApiUrl(){return t.config.API_URL},set baseApiUrl(e){t.config.API_URL=e},get workerCount(){return Ft.workerCount},set workerCount(t){Ft.workerCount=t},get maxParallelImageRequests(){return t.config.MAX_PARALLEL_IMAGE_REQUESTS},set maxParallelImageRequests(e){t.config.MAX_PARALLEL_IMAGE_REQUESTS=e},clearStorage:function(e){t.clearTileCache(e)},workerUrl:""};return oa})),r}()},3108:function(t,e,r){"use strict";t.exports=r(26099)},26099:function(t,e,r){"use strict";var n=r(64928),i=r(32420),a=r(51160),o=r(76752),s=r(55616),l=r(31264),u=r(47520),c=r(18400),f=r(72512),h=r(76244);function p(t,e){for(var r=e[0],n=e[1],a=1/(e[2]-r),o=1/(e[3]-n),s=new Array(t.length),l=0,u=t.length/2;l>>1;e.dtype||(e.dtype="array"),"string"==typeof e.dtype?d=new(f(e.dtype))(g):e.dtype&&(d=e.dtype,Array.isArray(d)&&(d.length=g));for(var y=0;yr||s>1073741824){for(var h=0;hr+i||M>n+i||S=C||o===s)){var l=m[a];void 0===s&&(s=l.length);for(var u=o;u=g&&f<=w&&h>=y&&h<=T&&P.push(c)}var p=x[a],d=p[4*o+0],v=p[4*o+1],b=p[4*o+2],_=p[4*o+3],k=function(t,e){for(var r=null,n=0;null===r;)if(r=t[4*e+n],++n>t.length)return null;return r}(p,o+1),E=.5*i,O=a+1;e(r,n,E,O,d,v||b||_||k),e(r,n+E,E,O,v,b||_||k),e(r+E,n,E,O,b,_||k),e(r+E,n+E,E,O,_,k)}}(0,0,1,0,0,1),P},d;function E(t,e,r){for(var n=1,i=.5,a=.5,o=.5,s=0;s0){e+=Math.abs(o(t[0]));for(var r=1;r2){for(l=0;l=0))throw new Error("precision must be a positive number");var r=Math.pow(10,e||0);return Math.round(t*r)/r},e.radiansToLength=c,e.lengthToRadians=f,e.lengthToDegrees=function(t,e){return h(f(t,e))},e.bearingToAzimuth=function(t){var e=t%360;return e<0&&(e+=360),e},e.radiansToDegrees=h,e.degreesToRadians=function(t){return t%360*Math.PI/180},e.convertLength=function(t,e,r){if(void 0===e&&(e="kilometers"),void 0===r&&(r="kilometers"),!(t>=0))throw new Error("length must be a positive number");return c(f(t,e),r)},e.convertArea=function(t,r,n){if(void 0===r&&(r="meters"),void 0===n&&(n="kilometers"),!(t>=0))throw new Error("area must be a positive number");var i=e.areaFactors[r];if(!i)throw new Error("invalid original units");var a=e.areaFactors[n];if(!a)throw new Error("invalid final units");return t/i*a},e.isNumber=p,e.isObject=function(t){return!!t&&t.constructor===Object},e.validateBBox=function(t){if(!t)throw new Error("bbox is required");if(!Array.isArray(t))throw new Error("bbox must be an Array");if(4!==t.length&&6!==t.length)throw new Error("bbox must be an Array of 4 or 6 numbers");t.forEach((function(t){if(!p(t))throw new Error("bbox must only contain numbers")}))},e.validateId=function(t){if(!t)throw new Error("id is required");if(-1===["string","number"].indexOf(typeof t))throw new Error("id must be a number or a string")}},3256:function(t,e,r){"use 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n=r(50896);function i(){this.regionalOptions=[],this.regionalOptions[""]={invalidCalendar:"Calendar {0} not found",invalidDate:"Invalid {0} date",invalidMonth:"Invalid {0} month",invalidYear:"Invalid {0} year",differentCalendars:"Cannot mix {0} and {1} dates"},this.local=this.regionalOptions[""],this.calendars={},this._localCals={}}function a(t,e,r,n){if(this._calendar=t,this._year=e,this._month=r,this._day=n,0===this._calendar._validateLevel&&!this._calendar.isValid(this._year,this._month,this._day))throw(u.local.invalidDate||u.regionalOptions[""].invalidDate).replace(/\{0\}/,this._calendar.local.name)}function o(t,e){return"000000".substring(0,e-(t=""+t).length)+t}function s(){this.shortYearCutoff="+10"}function l(t){this.local=this.regionalOptions[t]||this.regionalOptions[""]}n(i.prototype,{instance:function(t,e){t=(t||"gregorian").toLowerCase(),e=e||"";var r=this._localCals[t+"-"+e];if(!r&&this.calendars[t]&&(r=new 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0===arguments.length?this._day:this.set(t,"d")},date:function(t,e,r){if(!this._calendar.isValid(t,e,r))throw(u.local.invalidDate||u.regionalOptions[""].invalidDate).replace(/\{0\}/,this._calendar.local.name);return this._year=t,this._month=e,this._day=r,this},leapYear:function(){return this._calendar.leapYear(this)},epoch:function(){return this._calendar.epoch(this)},formatYear:function(){return this._calendar.formatYear(this)},monthOfYear:function(){return this._calendar.monthOfYear(this)},weekOfYear:function(){return this._calendar.weekOfYear(this)},daysInYear:function(){return this._calendar.daysInYear(this)},dayOfYear:function(){return this._calendar.dayOfYear(this)},daysInMonth:function(){return this._calendar.daysInMonth(this)},dayOfWeek:function(){return this._calendar.dayOfWeek(this)},weekDay:function(){return this._calendar.weekDay(this)},extraInfo:function(){return this._calendar.extraInfo(this)},add:function(t,e){return this._calendar.add(this,t,e)},set:function(t,e){return this._calendar.set(this,t,e)},compareTo:function(t){if(this._calendar.name!==t._calendar.name)throw(u.local.differentCalendars||u.regionalOptions[""].differentCalendars).replace(/\{0\}/,this._calendar.local.name).replace(/\{1\}/,t._calendar.local.name);var e=this._year!==t._year?this._year-t._year:this._month!==t._month?this.monthOfYear()-t.monthOfYear():this._day-t._day;return 0===e?0:e<0?-1:1},calendar:function(){return this._calendar},toJD:function(){return this._calendar.toJD(this)},fromJD:function(t){return this._calendar.fromJD(t)},toJSDate:function(){return this._calendar.toJSDate(this)},fromJSDate:function(t){return this._calendar.fromJSDate(t)},toString:function(){return(this.year()<0?"-":"")+o(Math.abs(this.year()),4)+"-"+o(this.month(),2)+"-"+o(this.day(),2)}}),n(s.prototype,{_validateLevel:0,newDate:function(t,e,r){return null==t?this.today():(t.year&&(this._validate(t,e,r,u.local.invalidDate||u.regionalOptions[""].invalidDate),r=t.day(),e=t.month(),t=t.year()),new a(this,t,e,r))},today:function(){return this.fromJSDate(new Date)},epoch:function(t){return this._validate(t,this.minMonth,this.minDay,u.local.invalidYear||u.regionalOptions[""].invalidYear).year()<0?this.local.epochs[0]:this.local.epochs[1]},formatYear:function(t){var e=this._validate(t,this.minMonth,this.minDay,u.local.invalidYear||u.regionalOptions[""].invalidYear);return(e.year()<0?"-":"")+o(Math.abs(e.year()),4)},monthsInYear:function(t){return this._validate(t,this.minMonth,this.minDay,u.local.invalidYear||u.regionalOptions[""].invalidYear),12},monthOfYear:function(t,e){var r=this._validate(t,e,this.minDay,u.local.invalidMonth||u.regionalOptions[""].invalidMonth);return(r.month()+this.monthsInYear(r)-this.firstMonth)%this.monthsInYear(r)+this.minMonth},fromMonthOfYear:function(t,e){var r=(e+this.firstMonth-2*this.minMonth)%this.monthsInYear(t)+this.minMonth;return 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- \ No newline at end of file + diff --git a/notebooks/users_notebooks/ipts_27939_code/config_home.json b/notebooks/users_notebooks/ipts_27939_code/config_home.json index 01db2e30..608799b6 100755 --- a/notebooks/users_notebooks/ipts_27939_code/config_home.json +++ b/notebooks/users_notebooks/ipts_27939_code/config_home.json @@ -31,4 +31,4 @@ "top": 89, "bottom": 119 } -} \ No newline at end of file +} diff --git a/notebooks/users_notebooks/ipts_27939_code/config_work.json b/notebooks/users_notebooks/ipts_27939_code/config_work.json index 9f864cc8..484f41ab 100755 --- a/notebooks/users_notebooks/ipts_27939_code/config_work.json +++ b/notebooks/users_notebooks/ipts_27939_code/config_work.json @@ -31,4 +31,4 @@ "top": 89, "bottom": 119 } -} \ No newline at end of file +} diff --git a/notebooks/users_notebooks/ipts_27939_code/ipts_27939.py b/notebooks/users_notebooks/ipts_27939_code/ipts_27939.py index 11b5dcea..68847b50 100755 --- a/notebooks/users_notebooks/ipts_27939_code/ipts_27939.py +++ b/notebooks/users_notebooks/ipts_27939_code/ipts_27939.py @@ -1,35 +1,30 @@ -import sys import glob +import json import os +import sys from pathlib import PurePosixPath -from scipy.ndimage import rotate + import pandas as pd -import json +from scipy.ndimage import rotate -module_path = os.path.abspath(os.path.join('..')) +module_path = os.path.abspath(os.path.join("..")) if module_path not in sys.path: sys.path.append(module_path) -import numpy as np -import json - -from plotly.offline import plot, init_notebook_mode, iplot -import plotly.express as px -import plotly.graph_objects as go import socket -from ipywidgets import interactive import ipywidgets as widgets -from IPython.display import display, HTML - import matplotlib.pyplot as plt - +import numpy as np +from IPython.display import HTML, display +from ipywidgets import interactive from NeuNorm.normalization import Normalization +from __code._utilities.file import make_or_increment_folder_name, make_tiff from __code.file_folder_browser import FileFolderBrowser -from __code._utilities.file import make_ascii_file, make_or_increment_folder_name, make_tiff -from .cylindrical_geometry_correction import number_of_pixels_at_that_position1, number_of_pixel_at_that_position2 -if socket.gethostname() == 'mac113775': #home machine +from .cylindrical_geometry_correction import number_of_pixels_at_that_position1 + +if socket.gethostname() == "mac113775": # home machine CONFIG_FILE_NAME = "./ipts_27939_code/config_home.json" else: CONFIG_FILE_NAME = "./ipts_27939_code/config_work.json" @@ -40,8 +35,8 @@ class IPTS_27939: data = None number_of_images = None - default_crop = {'x0': 369, 'x1': 522, 'y0': 756, 'y1': 1894} - crop = {'x0': None, 'x1': None, 'y0': None, 'y1': None} + default_crop = {"x0": 369, "x1": 522, "y0": 756, "y1": 1894} + crop = {"x0": None, "x1": None, "y0": None, "y1": None} # Profile, for each image loaded, of inner and outer cylinder with only outer cylinder corrected profile_with_outer_cylinder_removed = None @@ -66,29 +61,27 @@ def select_images(self): list_of_images = glob.glob(os.path.join(self.working_dir, "*.tif*")) self.load_images(list_of_images=list_of_images) else: - file_folder_browser = FileFolderBrowser(working_dir=self.working_dir, - next_function=self.load_images) + file_folder_browser = FileFolderBrowser(working_dir=self.working_dir, next_function=self.load_images) file_folder_browser.select_images(filters={"TIFF": "*.tif?"}) def load_images(self, list_of_images): self.number_of_images = len(list_of_images) self.list_of_images = list_of_images if self.number_of_images == 0: - display(HTML('0 images found!')) + display(HTML("0 images found!")) return self.working_dir = os.path.dirname(list_of_images[0]) o_norm = Normalization() - o_norm.load(file=list_of_images, - notebook=True) - self.data = o_norm.data['sample']['data'] + o_norm.load(file=list_of_images, notebook=True) + self.data = o_norm.data["sample"]["data"] # self.data = [np.rot90(_data) for _data in data] if self.data: [self.height, self.width] = np.shape(np.squeeze(self.data[0])) - display(HTML('Number of images loaded: ' + str(len(list_of_images)) + '')) + display(HTML("Number of images loaded: " + str(len(list_of_images)) + "")) def visualize_raw_images(self): fig, ax1 = plt.subplots(num="Raw Images") @@ -97,11 +90,10 @@ def plot(image_index): data = self.data[image_index] ax1.imshow(data, vmin=0, vmax=1) - v = interactive(plot, - image_index=widgets.IntSlider(min=0, - max=len(self.data) - 1, - value=0, - layout=widgets.Layout(width='50%'))) + v = interactive( + plot, + image_index=widgets.IntSlider(min=0, max=len(self.data) - 1, value=0, layout=widgets.Layout(width="50%")), + ) display(v) def rotate_images(self): @@ -113,26 +105,23 @@ def rotate_images(self): profile_margin = 100 def plot(rot_value, image_index, vert_guide, profile1_h, profile2_h): - ax0.cla() data = self.data[image_index] data = rotate(data, rot_value) ax0.imshow(data, vmin=0, vmax=1) - ax0.axvline(x=vert_guide, - color='red', - linestyle="--") + ax0.axvline(x=vert_guide, color="red", linestyle="--") point1 = [vert_guide - profile_margin, profile1_h] point2 = [vert_guide + profile_margin, profile1_h] x_values = [point1[0], point2[0]] y_values = [point1[1], point2[1]] - ax0.plot(x_values, y_values, linestyle="--", color='b') + ax0.plot(x_values, y_values, linestyle="--", color="b") point3 = [vert_guide - profile_margin, profile2_h] point4 = [vert_guide + profile_margin, profile2_h] x_values = [point3[0], point4[0]] y_values = [point3[1], point4[1]] - ax0.plot(x_values, y_values, linestyle="--", color='g') + ax0.plot(x_values, y_values, linestyle="--", color="g") # ax0.axhline(y=profile1_h, # xmin=vert_guide - profile_margin, @@ -145,37 +134,33 @@ def plot(rot_value, image_index, vert_guide, profile1_h, profile2_h): # color='g', # linestyle="--") - profile1 = data[profile1_h, vert_guide-profile_margin: vert_guide + profile_margin] - profile2 = data[profile2_h, vert_guide-profile_margin: vert_guide + profile_margin] + profile1 = data[profile1_h, vert_guide - profile_margin : vert_guide + profile_margin] + profile2 = data[profile2_h, vert_guide - profile_margin : vert_guide + profile_margin] ax1.cla() - ax1.plot(profile1, 'b', label='profile 1') - ax1.plot(profile2, 'g', label='profile 2') + ax1.plot(profile1, "b", label="profile 1") + ax1.plot(profile2, "g", label="profile 2") plt.ylabel("Counts") plt.xlabel("Pixels") plt.title("horizontal profiles around vertical guide") plt.tight_layout() - self.v = interactive(plot, - rot_value=widgets.FloatSlider(min=-5., - max=5., - value=default_rotate_angle, - layout=widgets.Layout(width='50%')), - image_index=widgets.IntSlider(min=0, - max=len(self.data) - 1, - value=0, - layout=widgets.Layout(width='50%')), - vert_guide=widgets.IntSlider(min=0, - max=self.width-1, - value=int(self.width/2), - layout=widgets.Layout(width="50%"), - continuous_update=False), - profile1_h=widgets.IntSlider(min=0, - max=self.height-1, - value=1135), - profile2_h=widgets.IntSlider(min=0, - max=self.height-1, - value=1794)) + self.v = interactive( + plot, + rot_value=widgets.FloatSlider( + min=-5.0, max=5.0, value=default_rotate_angle, layout=widgets.Layout(width="50%") + ), + image_index=widgets.IntSlider(min=0, max=len(self.data) - 1, value=0, layout=widgets.Layout(width="50%")), + vert_guide=widgets.IntSlider( + min=0, + max=self.width - 1, + value=int(self.width / 2), + layout=widgets.Layout(width="50%"), + continuous_update=False, + ), + profile1_h=widgets.IntSlider(min=0, max=self.height - 1, value=1135), + profile2_h=widgets.IntSlider(min=0, max=self.height - 1, value=1794), + ) display(self.v) @@ -196,17 +181,17 @@ def select_crop_region(self): def plot(image_index, left, right, top, bottom, profile_mker): ax0.cla() ax0.imshow(self.data[image_index], vmin=0, vmax=1) - ax0.axis('off') - ax0.axvline(x=left, color='red', linestyle='--') - ax0.axvline(x=right, color='red', linestyle='--') - ax0.axhline(y=top, color='red', linestyle='-.') - ax0.axhline(y=bottom, color='red', linestyle='-.') - ax0.axhline(y=profile_mker, color='blue', linestyle='dotted') + ax0.axis("off") + ax0.axvline(x=left, color="red", linestyle="--") + ax0.axvline(x=right, color="red", linestyle="--") + ax0.axhline(y=top, color="red", linestyle="-.") + ax0.axhline(y=bottom, color="red", linestyle="-.") + ax0.axhline(y=profile_mker, color="blue", linestyle="dotted") ax1.cla() profile = self.data[image_index][profile_mker, :] - ax1.plot(profile, '.') - delta_x = (right - left) + ax1.plot(profile, ".") + delta_x = right - left if delta_x < 0: delta_x = 0 left_x_profile = (left - delta_x) if (left - delta_x) > 0 else 0 @@ -214,39 +199,27 @@ def plot(image_index, left, right, top, bottom, profile_mker): plt.xlabel("Horizontal pixel") plt.ylabel("Counts") plt.title("Profile at marker's position (dotted blue line)") - ax1.axvline(x=left, linestyle='--', color='red') - ax1.axvline(x=right, linestyle='--', color='red') + ax1.axvline(x=left, linestyle="--", color="red") + ax1.axvline(x=right, linestyle="--", color="red") return left, right, top, bottom - self.crop_ui = interactive(plot, - image_index=widgets.IntSlider(min=0, - max=self.number_of_images - 1, - value=0), - left=widgets.IntSlider(min=0, - max=width-1, - value=self.config["default_crop"]['x0']), - right=widgets.IntSlider(min=0, - max=width-1, - value=self.config["default_crop"]['x1']), - top=widgets.IntSlider(min=0, - max=height-1, - value=self.config["default_crop"]['y0']), - bottom=widgets.IntSlider(min=0, - max=height-1, - value=self.config["default_crop"]['y1']), - profile_mker=widgets.IntSlider(min=0, - max=height-1, - value=self.config['default_crop'][ - 'marker']) - ) + self.crop_ui = interactive( + plot, + image_index=widgets.IntSlider(min=0, max=self.number_of_images - 1, value=0), + left=widgets.IntSlider(min=0, max=width - 1, value=self.config["default_crop"]["x0"]), + right=widgets.IntSlider(min=0, max=width - 1, value=self.config["default_crop"]["x1"]), + top=widgets.IntSlider(min=0, max=height - 1, value=self.config["default_crop"]["y0"]), + bottom=widgets.IntSlider(min=0, max=height - 1, value=self.config["default_crop"]["y1"]), + profile_mker=widgets.IntSlider(min=0, max=height - 1, value=self.config["default_crop"]["marker"]), + ) display(self.crop_ui) def visualize_crop(self): [x0, x1, y0, y1] = self.crop_ui.result - self.crop = {'x0': 0, 'x1': x1, 'y0': y0, 'y1': y1} + self.crop = {"x0": 0, "x1": x1, "y0": y0, "y1": y1} - cropped_data = [_data[y0: y1 + 1, x0: x1 + 1] for _data in self.data] + cropped_data = [_data[y0 : y1 + 1, x0 : x1 + 1] for _data in self.data] self.cropped_data = cropped_data fig, ax1 = plt.subplots(num="Result of Cropping") @@ -256,16 +229,19 @@ def plot(image_index): ax1.imshow(data, vmin=0, vmax=1) # plt.tight_layout() - v = interactive(plot, - image_index=widgets.IntSlider(min=0, max=self.number_of_images - 1, value=0)) + v = interactive(plot, image_index=widgets.IntSlider(min=0, max=self.number_of_images - 1, value=0)) display(v) def export_cropped_images(self): - display(HTML( - 'Select a folder if you want to export the cropped images!')) + display( + HTML( + 'Select a folder if you want to export the cropped images!' + ) + ) working_dir = os.path.dirname(self.working_dir) - self.file_selection_ui = FileFolderBrowser(working_dir=working_dir, - next_function=self.export_cropped_images_step2) + self.file_selection_ui = FileFolderBrowser( + working_dir=working_dir, next_function=self.export_cropped_images_step2 + ) self.file_selection_ui.select_output_folder() def export_cropped_images_step2(self, output_folder): @@ -278,19 +254,17 @@ def export_cropped_images_step2(self, output_folder): list_of_images = self.list_of_images nbr_images = len(list_of_images) - progress_bar = widgets.IntProgress(min=0, - max=nbr_images - 1) + progress_bar = widgets.IntProgress(min=0, max=nbr_images - 1) display(progress_bar) for index, image in enumerate(list_images_corrected): _name = os.path.basename(list_of_images[index]) full_name = os.path.join(base_working_dir, _name) - make_tiff(filename=full_name, - data=image) + make_tiff(filename=full_name, data=image) progress_bar.value = index + 1 progress_bar.close() - display(HTML('' + str(nbr_images) + ' images created!')) + display(HTML('' + str(nbr_images) + " images created!")) def background_range_selection(self): fig, ax1 = plt.subplots(num="Select top and bottom of background range") @@ -300,18 +274,19 @@ def plot(image_index, top, bottom): ax1.cla() ax1.imshow(self.cropped_data[image_index], vmin=0, vmax=1) # ax1.axis('off') - ax1.axhline(y=top, color='red') - ax1.axhline(y=bottom, color='red') + ax1.axhline(y=top, color="red") + ax1.axhline(y=bottom, color="red") return top, bottom default_top = self.config["default_background"]["y0"] default_bottom = self.config["default_background"]["y1"] - self.background_limit_ui = interactive(plot, - image_index=widgets.IntSlider(min=0, max=self.number_of_images - 1, - value=0), - top=widgets.IntSlider(min=0, max=height - 1, value=default_top), - bottom=widgets.IntSlider(min=0, max=height - 1, value=default_bottom)) + self.background_limit_ui = interactive( + plot, + image_index=widgets.IntSlider(min=0, max=self.number_of_images - 1, value=0), + top=widgets.IntSlider(min=0, max=height - 1, value=default_top), + bottom=widgets.IntSlider(min=0, max=height - 1, value=default_bottom), + ) display(self.background_limit_ui) def sample_region_selection(self): @@ -322,19 +297,20 @@ def plot(image_index, top, bottom): ax1.cla() ax1.imshow(self.cropped_data[image_index], vmin=0, vmax=1) # ax1.axis('off') - ax1.axhline(y=top, color='red') - ax1.axhline(y=bottom, color='red') + ax1.axhline(y=top, color="red") + ax1.axhline(y=bottom, color="red") return top, bottom default_top = self.config["default_sample"]["y0"] default_bottom = self.config["default_sample"]["y1"] - self.sample_limit_ui = interactive(plot, - image_index=widgets.IntSlider(min=0, max=self.number_of_images - 1, - value=0), - top=widgets.IntSlider(min=0, max=height - 1, value=default_top), - bottom=widgets.IntSlider(min=0, max=height - 1, value=default_bottom)) + self.sample_limit_ui = interactive( + plot, + image_index=widgets.IntSlider(min=0, max=self.number_of_images - 1, value=0), + top=widgets.IntSlider(min=0, max=height - 1, value=default_top), + bottom=widgets.IntSlider(min=0, max=height - 1, value=default_bottom), + ) display(self.sample_limit_ui) def remove_background_signal(self): @@ -344,14 +320,16 @@ def remove_background_signal(self): """ y0_background = self.background_limit_ui.children[1].value y1_background = self.background_limit_ui.children[2].value - background_signal_integrated = [np.mean(_data[y0_background: y1_background+1, :], axis=0) for _data in self.cropped_data] + background_signal_integrated = [ + np.mean(_data[y0_background : y1_background + 1, :], axis=0) for _data in self.cropped_data + ] y0_sample = self.sample_limit_ui.children[1].value y1_sample = self.sample_limit_ui.children[2].value sample_without_background = [] - for _background, _sample in zip(background_signal_integrated, self.cropped_data): - _data = _sample[y0_sample: y1_sample+1] - sample_without_background.append(np.abs((_data - _background))) + for _background, _sample in zip(background_signal_integrated, self.cropped_data, strict=False): + _data = _sample[y0_sample : y1_sample + 1] + sample_without_background.append(np.abs(_data - _background)) self.sample_without_background = sample_without_background @@ -361,13 +339,12 @@ def plot(image_index): ax1.cla() ax1.imshow(self.sample_without_background[image_index], vmin=0, vmax=1) - self.sample_no_background_ui = interactive(plot, - image_index=widgets.IntSlider(min=0, max=self.number_of_images - 1, - value=0)) + self.sample_no_background_ui = interactive( + plot, image_index=widgets.IntSlider(min=0, max=self.number_of_images - 1, value=0) + ) display(self.sample_no_background_ui) def display_of_profiles(self): - sample_without_background = self.sample_without_background fig, ax = plt.subplots(nrows=1, ncols=2, num="Display of Profiles") @@ -378,16 +355,18 @@ def plot(image_index, profile_height): ax[0].cla() image = sample_without_background[image_index] ax[0].imshow(image) - ax[0].axhline(y=profile_height, color='red') + ax[0].axhline(y=profile_height, color="red") ax[1].cla() data = sample_without_background[image_index] profile = data[profile_height, :] - ax[1].plot(profile, '.') + ax[1].plot(profile, ".") - v = interactive(plot, - image_index=widgets.IntSlider(min=0, max=self.number_of_images - 1, value=0), - profile_height=widgets.IntSlider(min=0, max=height-1, value=0)) + v = interactive( + plot, + image_index=widgets.IntSlider(min=0, max=self.number_of_images - 1, value=0), + profile_height=widgets.IntSlider(min=0, max=height - 1, value=0), + ) display(v) def correct_cylinder_geometry(self): @@ -399,23 +378,22 @@ def correct_cylinder_geometry(self): width = np.shape(sample_without_background)[2] height = np.shape(sample_without_background)[1] - radius = int(width/2.) + radius = int(width / 2.0) list_images_corrected = np.zeros(np.shape(sample_without_background)) # looping over all images for image_index, image in enumerate(sample_without_background): - for h in np.arange(height): - profile = image[h, :] number_of_pixels = [] expected_array = [] for x_index, x in enumerate(profile): measure = x - number_of_pixels_through_thickness = number_of_pixels_at_that_position1(position=x_index, - radius=radius) + number_of_pixels_through_thickness = number_of_pixels_at_that_position1( + position=x_index, radius=radius + ) number_of_pixels.append(number_of_pixels_through_thickness) expected_array.append(measure / number_of_pixels_through_thickness) @@ -429,38 +407,29 @@ def correct_cylinder_geometry(self): def plot(image_index, index1, index2, plot_max): ax0.cla() ax0.imshow(self.list_images_corrected[image_index], vmin=0, vmax=0.01) - ax0.axhline(y=index1, linestyle='--', color='r') - ax0.axhline(y=index2, linestyle='--', color='b') + ax0.axhline(y=index1, linestyle="--", color="r") + ax0.axhline(y=index2, linestyle="--", color="b") ax1.cla() - ax1.plot(self.list_images_corrected[image_index][index1, :], '.', color='r') - ax1.plot(self.list_images_corrected[image_index][index2, :], '.', color='b') + ax1.plot(self.list_images_corrected[image_index][index1, :], ".", color="r") + ax1.plot(self.list_images_corrected[image_index][index2, :], ".", color="b") plt.ylim([0, plot_max]) - self.sample_corrected = interactive(plot, - image_index=widgets.IntSlider(min=0, - max=self.number_of_images - 1, - value=0), - index1=widgets.IntSlider(min=0, - max=height-1, - value=int((height-1)/3)), - index2=widgets.IntSlider(min=0, - max=height - 1, - value=2*int((height-1)/3)), - plot_max=widgets.FloatSlider(min=1e-5, - max=1., - step=0.001, - value=0.02)) + self.sample_corrected = interactive( + plot, + image_index=widgets.IntSlider(min=0, max=self.number_of_images - 1, value=0), + index1=widgets.IntSlider(min=0, max=height - 1, value=int((height - 1) / 3)), + index2=widgets.IntSlider(min=0, max=height - 1, value=2 * int((height - 1) / 3)), + plot_max=widgets.FloatSlider(min=1e-5, max=1.0, step=0.001, value=0.02), + ) display(self.sample_corrected) def export_profiles(self): working_dir = os.path.dirname(self.working_dir) - output_folder_browser = FileFolderBrowser(working_dir=working_dir, - next_function=self.export) + output_folder_browser = FileFolderBrowser(working_dir=working_dir, next_function=self.export) output_folder_browser.select_output_folder() def export(self, output_folder): - output_folder = os.path.abspath(output_folder) working_dir = self.working_dir base_working_dir = os.path.join(output_folder, os.path.basename(working_dir) + "_cylindrical_geo_corrected") @@ -471,44 +440,37 @@ def export(self, output_folder): list_of_images = self.list_of_images nbr_images = len(list_of_images) - progress_bar = widgets.IntProgress(min=0, - max=nbr_images-1) + progress_bar = widgets.IntProgress(min=0, max=nbr_images - 1) display(progress_bar) for index, image in enumerate(list_images_corrected): _name = os.path.basename(list_of_images[index]) full_name = os.path.join(base_working_dir, _name) - make_tiff(filename=full_name, - data=image) + make_tiff(filename=full_name, data=image) progress_bar.value = index + 1 progress_bar.close() - display(HTML('' + str(nbr_images) + ' images created!')) + display(HTML('' + str(nbr_images) + " images created!")) # export profiles - progress_bar = widgets.IntProgress(min=0, - max=nbr_images-1) + progress_bar = widgets.IntProgress(min=0, max=nbr_images - 1) display(progress_bar) metadata = {} - metadata['rotation value (degrees)'] = self.rotation_value - x0 = self.crop['x0'] - x1 = self.crop['x1'] - y0 = self.crop['y0'] - y1 = self.crop['y1'] - - metadata['crop'] = {'crop': {'x0': x0, - 'y0': y0, - 'x1': x1, - 'y1': y1 - }, - } - metadata['input folder'] = working_dir - metadata['output folder'] = base_working_dir + metadata["rotation value (degrees)"] = self.rotation_value + x0 = self.crop["x0"] + x1 = self.crop["x1"] + y0 = self.crop["y0"] + y1 = self.crop["y1"] + + metadata["crop"] = { + "crop": {"x0": x0, "y0": y0, "x1": x1, "y1": y1}, + } + metadata["input folder"] = working_dir + metadata["output folder"] = base_working_dir for index, image in enumerate(list_images_corrected): - _name = os.path.basename(list_of_images[index]) base_name_without_suffix = PurePosixPath(_name).stem base_name_of_ascii_file = str(base_name_without_suffix) + "_profile_corrected.csv" @@ -521,11 +483,11 @@ def export(self, output_folder): progress_bar.close() - display(HTML('' + str(nbr_images) + ' ASCII files created!')) + display(HTML('' + str(nbr_images) + " ASCII files created!")) - json_file_name = os.path.join(base_working_dir, 'metadata.json') - with open(json_file_name, 'w') as outfile: + json_file_name = os.path.join(base_working_dir, "metadata.json") + with open(json_file_name, "w") as outfile: json.dump(metadata, outfile) display(HTML(' metadata json file created (metadata.json)!')) - display(HTML(' Output folder: ' + base_working_dir + '!')) + display(HTML(' Output folder: ' + base_working_dir + "!")) diff --git a/notebooks/users_notebooks/ipts_28402_code/config.json b/notebooks/users_notebooks/ipts_28402_code/config.json index 98aeec64..49d34c57 100755 --- a/notebooks/users_notebooks/ipts_28402_code/config.json +++ b/notebooks/users_notebooks/ipts_28402_code/config.json @@ -21,4 +21,4 @@ "top": 89, "bottom": 119 } -} \ No newline at end of file +} diff --git a/notebooks/users_notebooks/ipts_28402_code/ipts_28402.py b/notebooks/users_notebooks/ipts_28402_code/ipts_28402.py index 3f77f2bf..9ead3a5d 100755 --- a/notebooks/users_notebooks/ipts_28402_code/ipts_28402.py +++ b/notebooks/users_notebooks/ipts_28402_code/ipts_28402.py @@ -1,30 +1,27 @@ -import sys import glob import os +import sys from pathlib import PurePosixPath -module_path = os.path.abspath(os.path.join('..')) +module_path = os.path.abspath(os.path.join("..")) if module_path not in sys.path: sys.path.append(module_path) -import numpy as np import json -from plotly.offline import plot, init_notebook_mode, iplot -import plotly.express as px -import plotly.graph_objects as go - -from ipywidgets import interactive import ipywidgets as widgets -from IPython.display import display, HTML - import matplotlib.pyplot as plt - +import numpy as np +import plotly.graph_objects as go +from IPython.display import HTML, display +from ipywidgets import interactive from NeuNorm.normalization import Normalization +from plotly.offline import iplot -from __code.file_folder_browser import FileFolderBrowser -from __code._utilities.folder import make_folder from __code._utilities.file import make_ascii_file -from .cylindrical_geometry_correction import number_of_pixels_at_that_position1, number_of_pixel_at_that_position2 +from __code._utilities.folder import make_folder +from __code.file_folder_browser import FileFolderBrowser + +from .cylindrical_geometry_correction import number_of_pixel_at_that_position2, number_of_pixels_at_that_position1 class IPTS_28402: @@ -32,8 +29,8 @@ class IPTS_28402: data = None number_of_images = None - default_crop = {'x0': 251, 'x1': 1749, 'y0': 1400, 'y1': 1650} - crop = {'x0': None, 'x1': None, 'y0': None, 'y1': None} + default_crop = {"x0": 251, "x1": 1749, "y0": 1400, "y1": 1650} + crop = {"x0": None, "x1": None, "y0": None, "y1": None} # Profile, for each image loaded, of inner and outer cylinder with only outer cylinder corrected profile_with_outer_cylinder_removed = None @@ -58,29 +55,27 @@ def select_images(self): list_of_images = glob.glob(os.path.join(self.working_dir, "*.tif*")) self.load_images(list_of_images=list_of_images) else: - file_folder_browser = FileFolderBrowser(working_dir=self.working_dir, - next_function=self.load_images) + file_folder_browser = FileFolderBrowser(working_dir=self.working_dir, next_function=self.load_images) file_folder_browser.select_images(filters={"TIFF": "*.tif?"}) def load_images(self, list_of_images): self.number_of_images = len(list_of_images) self.list_of_images = list_of_images if self.number_of_images == 0: - display(HTML('0 images found!')) + display(HTML("0 images found!")) return self.working_dir = os.path.dirname(list_of_images[0]) o_norm = Normalization() - o_norm.load(file=list_of_images, - notebook=True) - data = o_norm.data['sample']['data'] + o_norm.load(file=list_of_images, notebook=True) + data = o_norm.data["sample"]["data"] self.data = [np.rot90(_data) for _data in data] if self.data: [self.height, self.width] = np.shape(np.squeeze(self.data[0])) - display(HTML('Number of images loaded: ' + str(len(list_of_images)) + '')) + display(HTML("Number of images loaded: " + str(len(list_of_images)) + "")) def visualize_raw_images(self): fig, ax1 = plt.subplots(num="Raw Images after 90degrees rotation") @@ -89,11 +84,10 @@ def plot(image_index): data = self.data[image_index] ax1.imshow(data, vmin=0, vmax=1) - v = interactive(plot, - image_index=widgets.IntSlider(min=0, - max=len(self.data) - 1, - value=0, - layout=widgets.Layout(width='50%'))) + v = interactive( + plot, + image_index=widgets.IntSlider(min=0, max=len(self.data) - 1, value=0, layout=widgets.Layout(width="50%")), + ) display(v) def select_crop_region(self): @@ -107,27 +101,29 @@ def select_crop_region(self): def plot(image_index, left, right, top, bottom): ax1.cla() ax1.imshow(self.data[image_index], vmin=0, vmax=1) - ax1.axis('off') - ax1.axvline(x=left, color='green') - ax1.axvline(x=right, color='green') - ax1.axhline(y=top, color='blue') - ax1.axhline(y=bottom, color='blue') + ax1.axis("off") + ax1.axvline(x=left, color="green") + ax1.axvline(x=right, color="green") + ax1.axhline(y=top, color="blue") + ax1.axhline(y=bottom, color="blue") return left, right, top, bottom - self.crop_ui = interactive(plot, - image_index=widgets.IntSlider(min=0, max=self.number_of_images - 1, value=0), - left=widgets.IntSlider(min=0, max=width, value=self.config["default_crop"]['x0']), - right=widgets.IntSlider(min=0, max=width, value=self.config["default_crop"]['x1']), - top=widgets.IntSlider(min=0, max=height, value=self.config["default_crop"]['y0']), - bottom=widgets.IntSlider(min=0, max=height, value=self.config["default_crop"]['y1'])) + self.crop_ui = interactive( + plot, + image_index=widgets.IntSlider(min=0, max=self.number_of_images - 1, value=0), + left=widgets.IntSlider(min=0, max=width, value=self.config["default_crop"]["x0"]), + right=widgets.IntSlider(min=0, max=width, value=self.config["default_crop"]["x1"]), + top=widgets.IntSlider(min=0, max=height, value=self.config["default_crop"]["y0"]), + bottom=widgets.IntSlider(min=0, max=height, value=self.config["default_crop"]["y1"]), + ) display(self.crop_ui) def visualize_crop(self): [x0, x1, y0, y1] = self.crop_ui.result - self.crop = {'x0': 0, 'x1': x1, 'y0': y0, 'y1': y1} + self.crop = {"x0": 0, "x1": x1, "y0": y0, "y1": y1} - cropped_data = [_data[y0: y1 + 1, x0: x1 + 1] for _data in self.data] + cropped_data = [_data[y0 : y1 + 1, x0 : x1 + 1] for _data in self.data] self.cropped_data = cropped_data fig, ax1 = plt.subplots(num="Result of Cropping") @@ -137,8 +133,7 @@ def plot(image_index): ax1 = plt.imshow(data, vmin=0, vmax=1) plt.tight_layout() - v = interactive(plot, - image_index=widgets.IntSlider(min=0, max=self.number_of_images - 1, value=0)) + v = interactive(plot, image_index=widgets.IntSlider(min=0, max=self.number_of_images - 1, value=0)) display(v) def selection_of_profiles_limit(self): @@ -148,30 +143,30 @@ def selection_of_profiles_limit(self): def plot(image_index, top, bottom): ax1.cla() ax1.imshow(self.cropped_data[image_index], vmin=0, vmax=1) - ax1.axis('off') - ax1.axhline(y=top, color='blue') - ax1.axhline(y=bottom, color='blue') + ax1.axis("off") + ax1.axhline(y=top, color="blue") + ax1.axhline(y=bottom, color="blue") return top, bottom default_top = self.config["profiles_limit"]["top"] default_bottom = self.config["profiles_limit"]["bottom"] - self.profile_limit_ui = interactive(plot, - image_index=widgets.IntSlider(min=0, max=self.number_of_images - 1, - value=0), - top=widgets.IntSlider(min=0, max=height - 1, value=default_top), - bottom=widgets.IntSlider(min=0, max=height - 1, value=default_bottom)) + self.profile_limit_ui = interactive( + plot, + image_index=widgets.IntSlider(min=0, max=self.number_of_images - 1, value=0), + top=widgets.IntSlider(min=0, max=height - 1, value=default_top), + bottom=widgets.IntSlider(min=0, max=height - 1, value=default_bottom), + ) display(self.profile_limit_ui) def extraction_of_profiles(self): [top_profile, bottom_profile] = self.profile_limit_ui.result - self.config["profiles_limit"] = {'top' : top_profile, - 'bottom': bottom_profile} + self.config["profiles_limit"] = {"top": top_profile, "bottom": bottom_profile} profiles = [] for _data in self.cropped_data: - _data_profile_range = _data[top_profile: bottom_profile + 1, :] + _data_profile_range = _data[top_profile : bottom_profile + 1, :] _data_profile_range = _data_profile_range.mean(axis=0) profiles.append(_data_profile_range) @@ -185,11 +180,10 @@ def display_of_profiles(self): def plot(image_index): ax1.cla() data = self.profiles[image_index] - ax1.plot(data, '.') + ax1.plot(data, ".") plt.tight_layout() - v = interactive(plot, - image_index=widgets.IntSlider(min=0, max=self.number_of_images - 1, value=0)) + v = interactive(plot, image_index=widgets.IntSlider(min=0, max=self.number_of_images - 1, value=0)) display(v) def cylinders_positions(self): @@ -207,40 +201,42 @@ def plot(image_index, center, inner_radius, outer_radius): ax22 = plt.subplot2grid(shape=(6, 1), loc=(1, 0), colspan=1, rowspan=5) # top plot - data = self.cropped_data[image_index][default_top: default_bottom + 1, :] + data = self.cropped_data[image_index][default_top : default_bottom + 1, :] ax21.imshow(data, vmin=0, vmax=1) - ax21.axis('off') + ax21.axis("off") inner_left = center - inner_radius inner_right = center + inner_radius - ax21.axvline(x=inner_left, color='green') - ax21.axvline(x=inner_right, color='green') + ax21.axvline(x=inner_left, color="green") + ax21.axvline(x=inner_right, color="green") - ax21.axvline(x=center, color='red', linestyle='--') + ax21.axvline(x=center, color="red", linestyle="--") outer_left = center - outer_radius outer_right = center + outer_radius - ax21.axvline(x=outer_left, color='blue') - ax21.axvline(x=outer_right, color='blue') + ax21.axvline(x=outer_left, color="blue") + ax21.axvline(x=outer_right, color="blue") # bottom plot ax22.plot(self.profiles[image_index]) ax22.set_xlim([0, width]) - ax22.axvline(x=inner_left, color='green') - ax22.axvline(x=inner_right, color='green') + ax22.axvline(x=inner_left, color="green") + ax22.axvline(x=inner_right, color="green") - ax22.axvline(x=center, color='red', linestyle='--') + ax22.axvline(x=center, color="red", linestyle="--") - ax22.axvline(x=outer_left, color='blue') - ax22.axvline(x=outer_right, color='blue') + ax22.axvline(x=outer_left, color="blue") + ax22.axvline(x=outer_right, color="blue") # for reference, plotting the y-axis 1 ax22.axhline(y=1, color="black") - self.config["cylinders_position"] = {"center" : center, - "inner_radius": inner_radius, - "outer_radius": outer_radius} + self.config["cylinders_position"] = { + "center": center, + "inner_radius": inner_radius, + "outer_radius": outer_radius, + } return center, inner_radius, outer_radius @@ -248,19 +244,13 @@ def plot(image_index, center, inner_radius, outer_radius): default_outer_radius = self.config["cylinders_position"]["outer_radius"] default_center = self.config["cylinders_position"]["center"] - self.cylinders_positions_ui = interactive(plot, - image_index=widgets.IntSlider(min=0, max=self.number_of_images - 1, - value=0), - center=widgets.IntSlider(min=0, - max=width, - value=default_center), - inner_radius=widgets.IntSlider(min=0, - max=width, - value=default_inner_radius), - outer_radius=widgets.IntSlider(min=0, - max=width, - value=default_outer_radius), - ) + self.cylinders_positions_ui = interactive( + plot, + image_index=widgets.IntSlider(min=0, max=self.number_of_images - 1, value=0), + center=widgets.IntSlider(min=0, max=width, value=default_center), + inner_radius=widgets.IntSlider(min=0, max=width, value=default_inner_radius), + outer_radius=widgets.IntSlider(min=0, max=width, value=default_outer_radius), + ) display(self.cylinders_positions_ui) def cleaning_edges(self): @@ -276,19 +266,19 @@ def cleaning_edges(self): self.config["profiles_plot"]["left_inner_cylinder"] = left_inner_edge self.config["profiles_plot"]["right_inner_cylinder"] = right_inner_edge - profiles_cleaned = [_profile[left_outer: right_outer] for _profile in self.profiles] + profiles_cleaned = [_profile[left_outer:right_outer] for _profile in self.profiles] self.profiles_cleaned = profiles_cleaned fig, ax1 = plt.subplots(num="Outer and Inner cylinders profiles") def plot_profiles_cleaned(image_index): ax1.cla() - plt.plot(profiles_cleaned[image_index], '.b') - plt.axhline(y=1, color='green') + plt.plot(profiles_cleaned[image_index], ".b") + plt.axhline(y=1, color="green") - plot_cleaning_edges_ui = interactive(plot_profiles_cleaned, - image_index=widgets.IntSlider(min=0, max=self.number_of_images - 1, - value=0)) + plot_cleaning_edges_ui = interactive( + plot_profiles_cleaned, image_index=widgets.IntSlider(min=0, max=self.number_of_images - 1, value=0) + ) display(plot_cleaning_edges_ui) def switching_to_attenuation_mode(self): @@ -300,12 +290,12 @@ def switching_to_attenuation_mode(self): def plot_profiles_attenuation(image_index): ax_attenuation.cla() - plt.plot(profiles_attenuation_mode[image_index], '.b') - plt.axhline(y=1, color='green') + plt.plot(profiles_attenuation_mode[image_index], ".b") + plt.axhline(y=1, color="green") - plot_attenuation_ui = interactive(plot_profiles_attenuation, - image_index=widgets.IntSlider(min=0, max=self.number_of_images - 1, - value=0)) + plot_attenuation_ui = interactive( + plot_profiles_attenuation, image_index=widgets.IntSlider(min=0, max=self.number_of_images - 1, value=0) + ) display(plot_attenuation_ui) def outer_cylinder_geometry_correction(self, sampling_nbr_of_points=3): @@ -368,14 +358,12 @@ def outer_cylinder_geometry_correction(self, sampling_nbr_of_points=3): median_intensity_for_all_images = [] for _profile in profiles_attenuation_mode: - intensity_of_ring_array = [] intensity_of_left_ring_array = [] for x in x_axis_of_left_ring_array: measure = _profile[x] - number_of_pixels_through_thickness = number_of_pixels_at_that_position1(position=x, - radius=outer_radius) + number_of_pixels_through_thickness = number_of_pixels_at_that_position1(position=x, radius=outer_radius) value = measure / number_of_pixels_through_thickness intensity_of_left_ring_array.append(value) intensity_of_ring_array.append(value) @@ -385,8 +373,7 @@ def outer_cylinder_geometry_correction(self, sampling_nbr_of_points=3): intensity_of_right_ring_array = [] for x in x_axis_of_right_ring_array: measure = _profile[x] - number_of_pixels_through_thickness = number_of_pixels_at_that_position1(position=x, - radius=outer_radius) + number_of_pixels_through_thickness = number_of_pixels_at_that_position1(position=x, radius=outer_radius) value = measure / number_of_pixels_through_thickness intensity_of_right_ring_array.append(value) intensity_of_ring_array.append(value) @@ -402,12 +389,13 @@ def outer_cylinder_geometry_correction(self, sampling_nbr_of_points=3): def plot_profiles_with_outer_cylinder_corrected(image_index): ax_outer.cla() - plt.plot(x_axis_of_left_ring_array, intensity_of_left_ring_array_for_all_images[image_index], '.r') - plt.plot(x_axis_of_right_ring_array, intensity_of_right_ring_array, '.r') + plt.plot(x_axis_of_left_ring_array, intensity_of_left_ring_array_for_all_images[image_index], ".r") + plt.plot(x_axis_of_right_ring_array, intensity_of_right_ring_array, ".r") - plot_profile_outer_ui = interactive(plot_profiles_with_outer_cylinder_corrected, - image_index=widgets.IntSlider(min=0, max=self.number_of_images - 1, - value=0)) + plot_profile_outer_ui = interactive( + plot_profiles_with_outer_cylinder_corrected, + image_index=widgets.IntSlider(min=0, max=self.number_of_images - 1, value=0), + ) display(plot_profile_outer_ui) def full_profile_with_only_outer_cylinder_corrected(self): @@ -421,12 +409,11 @@ def full_profile_with_only_outer_cylinder_corrected(self): new_profile_with_outer_cylinder_removed = [] for _profile_index, _profile in enumerate(profiles_attenuation_mode): - shape_of_ring_signal = [] for x in np.arange(0, outer_radius + 1): - nbr_pixels = number_of_pixel_at_that_position2(position=x, - inner_circle_r=inner_radius, - outer_circle_r=outer_radius) + nbr_pixels = number_of_pixel_at_that_position2( + position=x, inner_circle_r=inner_radius, outer_circle_r=outer_radius + ) shape_of_ring_signal.append(nbr_pixels * median_intensity_for_all_images[_profile_index]) @@ -439,34 +426,34 @@ def full_profile_with_only_outer_cylinder_corrected(self): self.profile_with_outer_cylinder_removed = new_profile_with_outer_cylinder_removed def plot_shape_ring_signal(image_index): - trace = go.Scatter(y=shape_of_ring_signal_for_all_images[image_index]) - layout = go.Layout(title="Shape of profiles using calculated outer pixel intensity", - xaxis=dict(title=""), - yaxis=dict(title="")) + layout = go.Layout( + title="Shape of profiles using calculated outer pixel intensity", + xaxis=dict(title=""), + yaxis=dict(title=""), + ) figure = go.Figure(data=[trace], layout=layout) iplot(figure) - trace = go.Scatter(y=new_profile_with_outer_cylinder_removed[image_index], - mode='markers', - marker=dict(color='Blue', - line=dict(color='Red', - width=1))) - layout = go.Layout(title="shape of ring with outside cylinder corrected", - xaxis=dict(title=""), - yaxis=dict(title="")) + trace = go.Scatter( + y=new_profile_with_outer_cylinder_removed[image_index], + mode="markers", + marker=dict(color="Blue", line=dict(color="Red", width=1)), + ) + layout = go.Layout( + title="shape of ring with outside cylinder corrected", xaxis=dict(title=""), yaxis=dict(title="") + ) figure = go.Figure(data=[trace], layout=layout) iplot(figure) - plot_shape_ring_signal_ui = interactive(plot_shape_ring_signal, - image_index=widgets.IntSlider(min=0, max=self.number_of_images - 1, - value=0)) + plot_shape_ring_signal_ui = interactive( + plot_shape_ring_signal, image_index=widgets.IntSlider(min=0, max=self.number_of_images - 1, value=0) + ) display(plot_shape_ring_signal_ui) def crop_to_inner_cylinder(self): - nbr_pixel = len(self.profile_with_outer_cylinder_removed[0]) inner_radius = self.config["cylinders_position"]["inner_radius"] center = int(nbr_pixel / 2) @@ -477,39 +464,29 @@ def crop_to_inner_cylinder(self): def plot_crop_inner(image_index, left_edge, right_edge): ax_crop_inner.cla() - plt.plot(self.profile_with_outer_cylinder_removed[image_index], '.b') - plt.axvline(x=left_edge, color='red') - plt.axvline(x=right_edge, color='red') + plt.plot(self.profile_with_outer_cylinder_removed[image_index], ".b") + plt.axvline(x=left_edge, color="red") + plt.axvline(x=right_edge, color="red") center = np.mean([left_edge, right_edge]) - plt.axvline(x=center, color='green', linestyle='--') + plt.axvline(x=center, color="green", linestyle="--") return left_edge, right_edge - self.plot_crop_inner_ui = interactive(plot_crop_inner, - image_index=widgets.IntSlider(min=0, - max=self.number_of_images - 1, - value=0), - left_edge=widgets.IntSlider(min=0, - max=len( - self.profile_with_outer_cylinder_removed[ - 0]), - value=left_edge), - right_edge=widgets.IntSlider(min=0, - max=len( - self.profile_with_outer_cylinder_removed[ - 0]), - value=right_edge), - ) + self.plot_crop_inner_ui = interactive( + plot_crop_inner, + image_index=widgets.IntSlider(min=0, max=self.number_of_images - 1, value=0), + left_edge=widgets.IntSlider(min=0, max=len(self.profile_with_outer_cylinder_removed[0]), value=left_edge), + right_edge=widgets.IntSlider(min=0, max=len(self.profile_with_outer_cylinder_removed[0]), value=right_edge), + ) display(self.plot_crop_inner_ui) def correct_inner_cylinder_geometry(self): - [left_edge, right_edge] = self.plot_crop_inner_ui.result inner_profiles = [] for _profile in self.profile_with_outer_cylinder_removed: - new_profile = _profile[left_edge: right_edge+1] + new_profile = _profile[left_edge : right_edge + 1] inner_profiles.append(new_profile) new_inner_cylinder_radius = int(len(inner_profiles[0]) / 2) @@ -520,13 +497,13 @@ def correct_inner_cylinder_geometry(self): list_expected_array = [] for intensity in list_intensity: - number_of_pixels = [] expected_array = [] for _index, x in enumerate(d): measure = intensity[_index] - number_of_pixels_through_thickness = number_of_pixels_at_that_position1(position=x, - radius=new_inner_cylinder_radius) + number_of_pixels_through_thickness = number_of_pixels_at_that_position1( + position=x, radius=new_inner_cylinder_radius + ) number_of_pixels.append(number_of_pixels_through_thickness) expected_array.append(measure / number_of_pixels_through_thickness) @@ -535,31 +512,31 @@ def correct_inner_cylinder_geometry(self): self.list_expected_array = list_expected_array def plot_final_inner(image_index): - trace = go.Scatter(y=list_expected_array[image_index], mode='markers') - layout = go.Layout(title=f"Expected Array of image #{image_index}", - xaxis=dict(title="pixel"), - yaxis=dict(title="Counts per pixel", - range=[0, .0015], - )) + trace = go.Scatter(y=list_expected_array[image_index], mode="markers") + layout = go.Layout( + title=f"Expected Array of image #{image_index}", + xaxis=dict(title="pixel"), + yaxis=dict( + title="Counts per pixel", + range=[0, 0.0015], + ), + ) figure = go.Figure(data=[trace], layout=layout) iplot(figure) - self.plot_final_inner_ui = interactive(plot_final_inner, - image_index=widgets.IntSlider(min=0, - max=self.number_of_images - 1, - value=0), - ) + self.plot_final_inner_ui = interactive( + plot_final_inner, + image_index=widgets.IntSlider(min=0, max=self.number_of_images - 1, value=0), + ) display(self.plot_final_inner_ui) def export_profiles(self): working_dir = self.working_dir - output_folder_browser = FileFolderBrowser(working_dir=working_dir, - next_function=self.export) + output_folder_browser = FileFolderBrowser(working_dir=working_dir, next_function=self.export) output_folder_browser.select_output_folder() def export(self, output_folder): - output_folder = os.path.abspath(output_folder) make_folder(output_folder) @@ -569,7 +546,6 @@ def export(self, output_folder): pixel_index = np.arange(len(list_expected_array[0])) list_of_ascii_file_created = [] for _index, _image in enumerate(list_images): - array_for_this_image = list_expected_array[_index] base_name = os.path.basename(_image) @@ -580,16 +556,18 @@ def export(self, output_folder): metadata = [f"# input working file: {_image}"] - x0 = self.crop['x0'] - x1 = self.crop['x1'] - y0 = self.crop['y0'] - y1 = self.crop['y1'] + x0 = self.crop["x0"] + x1 = self.crop["x1"] + y0 = self.crop["y0"] + y1 = self.crop["y1"] metadata.append(f"# crop: x0={x0}, x1={x1}, y0={y0}, y1={y1}") top_profile = self.config["profiles_limit"]["top"] bottom_profile = self.config["profiles_limit"]["bottom"] - metadata.append(f"# profile range (those horizontal profiles will be combined via mean): top_profile=" - f"{top_profile}, bottom_profile={bottom_profile}") + metadata.append( + f"# profile range (those horizontal profiles will be combined via mean): top_profile=" + f"{top_profile}, bottom_profile={bottom_profile}" + ) center = self.config["cylinders_position"]["center"] inner_radius = self.config["cylinders_position"]["inner_radius"] @@ -602,14 +580,15 @@ def export(self, output_folder): metadata.append("# pixel, counts per pixels") - data_array = [f"{x}, {y}" for (x, y) in zip(pixel_index, array_for_this_image)] + data_array = [f"{x}, {y}" for (x, y) in zip(pixel_index, array_for_this_image, strict=False)] - make_ascii_file(metadata=metadata, - data=data_array, - output_file_name=full_name_of_ascii_file, - dim="1d") + make_ascii_file(metadata=metadata, data=data_array, output_file_name=full_name_of_ascii_file, dim="1d") - display(HTML('The following ASCII (csv) files have been ' - 'created: ')) + display( + HTML( + 'The following ASCII (csv) files have been ' + "created: " + ) + ) for _ascii_file in list_of_ascii_file_created: - display(HTML(' - ' + _ascii_file + '')) + display(HTML(' - ' + _ascii_file + "")) diff --git a/notebooks/users_notebooks/ipts_30610_code/config_home.json b/notebooks/users_notebooks/ipts_30610_code/config_home.json index 01db2e30..608799b6 100755 --- a/notebooks/users_notebooks/ipts_30610_code/config_home.json +++ b/notebooks/users_notebooks/ipts_30610_code/config_home.json @@ -31,4 +31,4 @@ "top": 89, "bottom": 119 } -} \ No newline at end of file +} diff --git a/notebooks/users_notebooks/ipts_30610_code/config_work.json b/notebooks/users_notebooks/ipts_30610_code/config_work.json index 9f864cc8..484f41ab 100755 --- a/notebooks/users_notebooks/ipts_30610_code/config_work.json +++ b/notebooks/users_notebooks/ipts_30610_code/config_work.json @@ -31,4 +31,4 @@ "top": 89, "bottom": 119 } -} \ No newline at end of file +} diff --git a/notebooks/users_notebooks/ipts_30610_code/ipts_30610.py b/notebooks/users_notebooks/ipts_30610_code/ipts_30610.py index 870af54d..f77d7db9 100755 --- a/notebooks/users_notebooks/ipts_30610_code/ipts_30610.py +++ b/notebooks/users_notebooks/ipts_30610_code/ipts_30610.py @@ -1,35 +1,30 @@ -import sys import glob +import json import os +import sys from pathlib import PurePosixPath -from scipy.ndimage import rotate + import pandas as pd -import json +from scipy.ndimage import rotate -module_path = os.path.abspath(os.path.join('..')) +module_path = os.path.abspath(os.path.join("..")) if module_path not in sys.path: sys.path.append(module_path) -import numpy as np -import json - -from plotly.offline import plot, init_notebook_mode, iplot -import plotly.express as px -import plotly.graph_objects as go import socket -from ipywidgets import interactive import ipywidgets as widgets -from IPython.display import display, HTML - import matplotlib.pyplot as plt - +import numpy as np +from IPython.display import HTML, display +from ipywidgets import interactive from NeuNorm.normalization import Normalization +from __code._utilities.file import make_or_increment_folder_name, make_tiff from __code.file_folder_browser import FileFolderBrowser -from __code._utilities.file import make_ascii_file, make_or_increment_folder_name, make_tiff -from .cylindrical_geometry_correction import number_of_pixels_at_that_position1, number_of_pixel_at_that_position2 -if socket.gethostname() == 'mac113775': #home machine +from .cylindrical_geometry_correction import number_of_pixels_at_that_position1 + +if socket.gethostname() == "mac113775": # home machine CONFIG_FILE_NAME = "./ipts_27939_code/config_home.json" else: CONFIG_FILE_NAME = "./ipts_27939_code/config_work.json" @@ -40,8 +35,8 @@ class IPTS_30610: data = None number_of_images = None - default_crop = {'x0': 369, 'x1': 522, 'y0': 756, 'y1': 1894} - crop = {'x0': None, 'x1': None, 'y0': None, 'y1': None} + default_crop = {"x0": 369, "x1": 522, "y0": 756, "y1": 1894} + crop = {"x0": None, "x1": None, "y0": None, "y1": None} # Profile, for each image loaded, of inner and outer cylinder with only outer cylinder corrected profile_with_outer_cylinder_removed = None @@ -66,29 +61,27 @@ def select_images(self): list_of_images = glob.glob(os.path.join(self.working_dir, "*.tif*")) self.load_images(list_of_images=list_of_images) else: - file_folder_browser = FileFolderBrowser(working_dir=self.working_dir, - next_function=self.load_images) + file_folder_browser = FileFolderBrowser(working_dir=self.working_dir, next_function=self.load_images) file_folder_browser.select_images(filters={"TIFF": "*.tif?"}) def load_images(self, list_of_images): self.number_of_images = len(list_of_images) self.list_of_images = list_of_images if self.number_of_images == 0: - display(HTML('0 images found!')) + display(HTML("0 images found!")) return self.working_dir = os.path.dirname(list_of_images[0]) o_norm = Normalization() - o_norm.load(file=list_of_images, - notebook=True) - self.data = o_norm.data['sample']['data'] + o_norm.load(file=list_of_images, notebook=True) + self.data = o_norm.data["sample"]["data"] # self.data = [np.rot90(_data) for _data in data] if self.data: [self.height, self.width] = np.shape(np.squeeze(self.data[0])) - display(HTML('Number of images loaded: ' + str(len(list_of_images)) + '')) + display(HTML("Number of images loaded: " + str(len(list_of_images)) + "")) def visualize_raw_images(self): fig, ax1 = plt.subplots(num="Raw Images") @@ -97,11 +90,10 @@ def plot(image_index): data = self.data[image_index] ax1.imshow(data, vmin=0, vmax=1) - v = interactive(plot, - image_index=widgets.IntSlider(min=0, - max=len(self.data) - 1, - value=0, - layout=widgets.Layout(width='50%'))) + v = interactive( + plot, + image_index=widgets.IntSlider(min=0, max=len(self.data) - 1, value=0, layout=widgets.Layout(width="50%")), + ) display(v) def rotate_images(self): @@ -113,26 +105,23 @@ def rotate_images(self): profile_margin = 100 def plot(rot_value, image_index, vert_guide, profile1_h, profile2_h): - ax0.cla() data = self.data[image_index] data = rotate(data, rot_value) ax0.imshow(data, vmin=0, vmax=1) - ax0.axvline(x=vert_guide, - color='red', - linestyle="--") + ax0.axvline(x=vert_guide, color="red", linestyle="--") point1 = [vert_guide - profile_margin, profile1_h] point2 = [vert_guide + profile_margin, profile1_h] x_values = [point1[0], point2[0]] y_values = [point1[1], point2[1]] - ax0.plot(x_values, y_values, linestyle="--", color='b') + ax0.plot(x_values, y_values, linestyle="--", color="b") point3 = [vert_guide - profile_margin, profile2_h] point4 = [vert_guide + profile_margin, profile2_h] x_values = [point3[0], point4[0]] y_values = [point3[1], point4[1]] - ax0.plot(x_values, y_values, linestyle="--", color='g') + ax0.plot(x_values, y_values, linestyle="--", color="g") # ax0.axhline(y=profile1_h, # xmin=vert_guide - profile_margin, @@ -145,37 +134,33 @@ def plot(rot_value, image_index, vert_guide, profile1_h, profile2_h): # color='g', # linestyle="--") - profile1 = data[profile1_h, vert_guide-profile_margin: vert_guide + profile_margin] - profile2 = data[profile2_h, vert_guide-profile_margin: vert_guide + profile_margin] + profile1 = data[profile1_h, vert_guide - profile_margin : vert_guide + profile_margin] + profile2 = data[profile2_h, vert_guide - profile_margin : vert_guide + profile_margin] ax1.cla() - ax1.plot(profile1, 'b', label='profile 1') - ax1.plot(profile2, 'g', label='profile 2') + ax1.plot(profile1, "b", label="profile 1") + ax1.plot(profile2, "g", label="profile 2") plt.ylabel("Counts") plt.xlabel("Pixels") plt.title("horizontal profiles around vertical guide") plt.tight_layout() - self.v = interactive(plot, - rot_value=widgets.FloatSlider(min=-5., - max=5., - value=default_rotate_angle, - layout=widgets.Layout(width='50%')), - image_index=widgets.IntSlider(min=0, - max=len(self.data) - 1, - value=0, - layout=widgets.Layout(width='50%')), - vert_guide=widgets.IntSlider(min=0, - max=self.width-1, - value=int(self.width/2), - layout=widgets.Layout(width="50%"), - continuous_update=False), - profile1_h=widgets.IntSlider(min=0, - max=self.height-1, - value=1135), - profile2_h=widgets.IntSlider(min=0, - max=self.height-1, - value=1794)) + self.v = interactive( + plot, + rot_value=widgets.FloatSlider( + min=-5.0, max=5.0, value=default_rotate_angle, layout=widgets.Layout(width="50%") + ), + image_index=widgets.IntSlider(min=0, max=len(self.data) - 1, value=0, layout=widgets.Layout(width="50%")), + vert_guide=widgets.IntSlider( + min=0, + max=self.width - 1, + value=int(self.width / 2), + layout=widgets.Layout(width="50%"), + continuous_update=False, + ), + profile1_h=widgets.IntSlider(min=0, max=self.height - 1, value=1135), + profile2_h=widgets.IntSlider(min=0, max=self.height - 1, value=1794), + ) display(self.v) @@ -196,17 +181,17 @@ def select_crop_region(self): def plot(image_index, left, right, top, bottom, profile_mker): ax0.cla() ax0.imshow(self.data[image_index], vmin=0, vmax=1) - ax0.axis('off') - ax0.axvline(x=left, color='red', linestyle='--') - ax0.axvline(x=right, color='red', linestyle='--') - ax0.axhline(y=top, color='red', linestyle='-.') - ax0.axhline(y=bottom, color='red', linestyle='-.') - ax0.axhline(y=profile_mker, color='blue', linestyle='dotted') + ax0.axis("off") + ax0.axvline(x=left, color="red", linestyle="--") + ax0.axvline(x=right, color="red", linestyle="--") + ax0.axhline(y=top, color="red", linestyle="-.") + ax0.axhline(y=bottom, color="red", linestyle="-.") + ax0.axhline(y=profile_mker, color="blue", linestyle="dotted") ax1.cla() profile = self.data[image_index][profile_mker, :] - ax1.plot(profile, '.') - delta_x = (right - left) + ax1.plot(profile, ".") + delta_x = right - left if delta_x < 0: delta_x = 0 left_x_profile = (left - delta_x) if (left - delta_x) > 0 else 0 @@ -214,39 +199,27 @@ def plot(image_index, left, right, top, bottom, profile_mker): plt.xlabel("Horizontal pixel") plt.ylabel("Counts") plt.title("Profile at marker's position (dotted blue line)") - ax1.axvline(x=left, linestyle='--', color='red') - ax1.axvline(x=right, linestyle='--', color='red') + ax1.axvline(x=left, linestyle="--", color="red") + ax1.axvline(x=right, linestyle="--", color="red") return left, right, top, bottom - self.crop_ui = interactive(plot, - image_index=widgets.IntSlider(min=0, - max=self.number_of_images - 1, - value=0), - left=widgets.IntSlider(min=0, - max=width-1, - value=self.config["default_crop"]['x0']), - right=widgets.IntSlider(min=0, - max=width-1, - value=self.config["default_crop"]['x1']), - top=widgets.IntSlider(min=0, - max=height-1, - value=self.config["default_crop"]['y0']), - bottom=widgets.IntSlider(min=0, - max=height-1, - value=self.config["default_crop"]['y1']), - profile_mker=widgets.IntSlider(min=0, - max=height-1, - value=self.config['default_crop'][ - 'marker']) - ) + self.crop_ui = interactive( + plot, + image_index=widgets.IntSlider(min=0, max=self.number_of_images - 1, value=0), + left=widgets.IntSlider(min=0, max=width - 1, value=self.config["default_crop"]["x0"]), + right=widgets.IntSlider(min=0, max=width - 1, value=self.config["default_crop"]["x1"]), + top=widgets.IntSlider(min=0, max=height - 1, value=self.config["default_crop"]["y0"]), + bottom=widgets.IntSlider(min=0, max=height - 1, value=self.config["default_crop"]["y1"]), + profile_mker=widgets.IntSlider(min=0, max=height - 1, value=self.config["default_crop"]["marker"]), + ) display(self.crop_ui) def visualize_crop(self): [x0, x1, y0, y1] = self.crop_ui.result - self.crop = {'x0': 0, 'x1': x1, 'y0': y0, 'y1': y1} + self.crop = {"x0": 0, "x1": x1, "y0": y0, "y1": y1} - cropped_data = [_data[y0: y1 + 1, x0: x1 + 1] for _data in self.data] + cropped_data = [_data[y0 : y1 + 1, x0 : x1 + 1] for _data in self.data] self.cropped_data = cropped_data fig, ax1 = plt.subplots(num="Result of Cropping") @@ -256,16 +229,19 @@ def plot(image_index): ax1.imshow(data, vmin=0, vmax=1) # plt.tight_layout() - v = interactive(plot, - image_index=widgets.IntSlider(min=0, max=self.number_of_images - 1, value=0)) + v = interactive(plot, image_index=widgets.IntSlider(min=0, max=self.number_of_images - 1, value=0)) display(v) def export_cropped_images(self): - display(HTML( - 'Select a folder if you want to export the cropped images!')) + display( + HTML( + 'Select a folder if you want to export the cropped images!' + ) + ) working_dir = os.path.dirname(self.working_dir) - self.file_selection_ui = FileFolderBrowser(working_dir=working_dir, - next_function=self.export_cropped_images_step2) + self.file_selection_ui = FileFolderBrowser( + working_dir=working_dir, next_function=self.export_cropped_images_step2 + ) self.file_selection_ui.select_output_folder() def export_cropped_images_step2(self, output_folder): @@ -278,19 +254,17 @@ def export_cropped_images_step2(self, output_folder): list_of_images = self.list_of_images nbr_images = len(list_of_images) - progress_bar = widgets.IntProgress(min=0, - max=nbr_images - 1) + progress_bar = widgets.IntProgress(min=0, max=nbr_images - 1) display(progress_bar) for index, image in enumerate(list_images_corrected): _name = os.path.basename(list_of_images[index]) full_name = os.path.join(base_working_dir, _name) - make_tiff(filename=full_name, - data=image) + make_tiff(filename=full_name, data=image) progress_bar.value = index + 1 progress_bar.close() - display(HTML('' + str(nbr_images) + ' images created!')) + display(HTML('' + str(nbr_images) + " images created!")) def background_range_selection(self): fig, ax1 = plt.subplots(num="Select top and bottom of background range") @@ -300,18 +274,19 @@ def plot(image_index, top, bottom): ax1.cla() ax1.imshow(self.cropped_data[image_index], vmin=0, vmax=1) # ax1.axis('off') - ax1.axhline(y=top, color='red') - ax1.axhline(y=bottom, color='red') + ax1.axhline(y=top, color="red") + ax1.axhline(y=bottom, color="red") return top, bottom default_top = self.config["default_background"]["y0"] default_bottom = self.config["default_background"]["y1"] - self.background_limit_ui = interactive(plot, - image_index=widgets.IntSlider(min=0, max=self.number_of_images - 1, - value=0), - top=widgets.IntSlider(min=0, max=height - 1, value=default_top), - bottom=widgets.IntSlider(min=0, max=height - 1, value=default_bottom)) + self.background_limit_ui = interactive( + plot, + image_index=widgets.IntSlider(min=0, max=self.number_of_images - 1, value=0), + top=widgets.IntSlider(min=0, max=height - 1, value=default_top), + bottom=widgets.IntSlider(min=0, max=height - 1, value=default_bottom), + ) display(self.background_limit_ui) def sample_region_selection(self): @@ -322,19 +297,20 @@ def plot(image_index, top, bottom): ax1.cla() ax1.imshow(self.cropped_data[image_index], vmin=0, vmax=1) # ax1.axis('off') - ax1.axhline(y=top, color='red') - ax1.axhline(y=bottom, color='red') + ax1.axhline(y=top, color="red") + ax1.axhline(y=bottom, color="red") return top, bottom default_top = self.config["default_sample"]["y0"] default_bottom = self.config["default_sample"]["y1"] - self.sample_limit_ui = interactive(plot, - image_index=widgets.IntSlider(min=0, max=self.number_of_images - 1, - value=0), - top=widgets.IntSlider(min=0, max=height - 1, value=default_top), - bottom=widgets.IntSlider(min=0, max=height - 1, value=default_bottom)) + self.sample_limit_ui = interactive( + plot, + image_index=widgets.IntSlider(min=0, max=self.number_of_images - 1, value=0), + top=widgets.IntSlider(min=0, max=height - 1, value=default_top), + bottom=widgets.IntSlider(min=0, max=height - 1, value=default_bottom), + ) display(self.sample_limit_ui) def remove_background_signal(self): @@ -344,14 +320,16 @@ def remove_background_signal(self): """ y0_background = self.background_limit_ui.children[1].value y1_background = self.background_limit_ui.children[2].value - background_signal_integrated = [np.mean(_data[y0_background: y1_background+1, :], axis=0) for _data in self.cropped_data] + background_signal_integrated = [ + np.mean(_data[y0_background : y1_background + 1, :], axis=0) for _data in self.cropped_data + ] y0_sample = self.sample_limit_ui.children[1].value y1_sample = self.sample_limit_ui.children[2].value sample_without_background = [] - for _background, _sample in zip(background_signal_integrated, self.cropped_data): - _data = _sample[y0_sample: y1_sample+1] - sample_without_background.append(np.abs((_data - _background))) + for _background, _sample in zip(background_signal_integrated, self.cropped_data, strict=False): + _data = _sample[y0_sample : y1_sample + 1] + sample_without_background.append(np.abs(_data - _background)) self.sample_without_background = sample_without_background @@ -361,13 +339,12 @@ def plot(image_index): ax1.cla() ax1.imshow(self.sample_without_background[image_index], vmin=0, vmax=1) - self.sample_no_background_ui = interactive(plot, - image_index=widgets.IntSlider(min=0, max=self.number_of_images - 1, - value=0)) + self.sample_no_background_ui = interactive( + plot, image_index=widgets.IntSlider(min=0, max=self.number_of_images - 1, value=0) + ) display(self.sample_no_background_ui) def display_of_profiles(self): - sample_without_background = self.sample_without_background fig, ax = plt.subplots(nrows=1, ncols=2, num="Display of Profiles") @@ -378,16 +355,18 @@ def plot(image_index, profile_height): ax[0].cla() image = sample_without_background[image_index] ax[0].imshow(image) - ax[0].axhline(y=profile_height, color='red') + ax[0].axhline(y=profile_height, color="red") ax[1].cla() data = sample_without_background[image_index] profile = data[profile_height, :] - ax[1].plot(profile, '.') + ax[1].plot(profile, ".") - v = interactive(plot, - image_index=widgets.IntSlider(min=0, max=self.number_of_images - 1, value=0), - profile_height=widgets.IntSlider(min=0, max=height-1, value=0)) + v = interactive( + plot, + image_index=widgets.IntSlider(min=0, max=self.number_of_images - 1, value=0), + profile_height=widgets.IntSlider(min=0, max=height - 1, value=0), + ) display(v) def correct_cylinder_geometry(self): @@ -399,23 +378,22 @@ def correct_cylinder_geometry(self): width = np.shape(sample_without_background)[2] height = np.shape(sample_without_background)[1] - radius = int(width/2.) + radius = int(width / 2.0) list_images_corrected = np.zeros(np.shape(sample_without_background)) # looping over all images for image_index, image in enumerate(sample_without_background): - for h in np.arange(height): - profile = image[h, :] number_of_pixels = [] expected_array = [] for x_index, x in enumerate(profile): measure = x - number_of_pixels_through_thickness = number_of_pixels_at_that_position1(position=x_index, - radius=radius) + number_of_pixels_through_thickness = number_of_pixels_at_that_position1( + position=x_index, radius=radius + ) number_of_pixels.append(number_of_pixels_through_thickness) expected_array.append(measure / number_of_pixels_through_thickness) @@ -429,38 +407,29 @@ def correct_cylinder_geometry(self): def plot(image_index, index1, index2, plot_max): ax0.cla() ax0.imshow(self.list_images_corrected[image_index], vmin=0, vmax=0.01) - ax0.axhline(y=index1, linestyle='--', color='r') - ax0.axhline(y=index2, linestyle='--', color='b') + ax0.axhline(y=index1, linestyle="--", color="r") + ax0.axhline(y=index2, linestyle="--", color="b") ax1.cla() - ax1.plot(self.list_images_corrected[image_index][index1, :], '.', color='r') - ax1.plot(self.list_images_corrected[image_index][index2, :], '.', color='b') + ax1.plot(self.list_images_corrected[image_index][index1, :], ".", color="r") + ax1.plot(self.list_images_corrected[image_index][index2, :], ".", color="b") plt.ylim([0, plot_max]) - self.sample_corrected = interactive(plot, - image_index=widgets.IntSlider(min=0, - max=self.number_of_images - 1, - value=0), - index1=widgets.IntSlider(min=0, - max=height-1, - value=int((height-1)/3)), - index2=widgets.IntSlider(min=0, - max=height - 1, - value=2*int((height-1)/3)), - plot_max=widgets.FloatSlider(min=1e-5, - max=1., - step=0.001, - value=0.02)) + self.sample_corrected = interactive( + plot, + image_index=widgets.IntSlider(min=0, max=self.number_of_images - 1, value=0), + index1=widgets.IntSlider(min=0, max=height - 1, value=int((height - 1) / 3)), + index2=widgets.IntSlider(min=0, max=height - 1, value=2 * int((height - 1) / 3)), + plot_max=widgets.FloatSlider(min=1e-5, max=1.0, step=0.001, value=0.02), + ) display(self.sample_corrected) def export_profiles(self): working_dir = os.path.dirname(self.working_dir) - output_folder_browser = FileFolderBrowser(working_dir=working_dir, - next_function=self.export) + output_folder_browser = FileFolderBrowser(working_dir=working_dir, next_function=self.export) output_folder_browser.select_output_folder() def export(self, output_folder): - output_folder = os.path.abspath(output_folder) working_dir = self.working_dir base_working_dir = os.path.join(output_folder, os.path.basename(working_dir) + "_cylindrical_geo_corrected") @@ -471,44 +440,37 @@ def export(self, output_folder): list_of_images = self.list_of_images nbr_images = len(list_of_images) - progress_bar = widgets.IntProgress(min=0, - max=nbr_images-1) + progress_bar = widgets.IntProgress(min=0, max=nbr_images - 1) display(progress_bar) for index, image in enumerate(list_images_corrected): _name = os.path.basename(list_of_images[index]) full_name = os.path.join(base_working_dir, _name) - make_tiff(filename=full_name, - data=image) + make_tiff(filename=full_name, data=image) progress_bar.value = index + 1 progress_bar.close() - display(HTML('' + str(nbr_images) + ' images created!')) + display(HTML('' + str(nbr_images) + " images created!")) # export profiles - progress_bar = widgets.IntProgress(min=0, - max=nbr_images-1) + progress_bar = widgets.IntProgress(min=0, max=nbr_images - 1) display(progress_bar) metadata = {} - metadata['rotation value (degrees)'] = self.rotation_value - x0 = self.crop['x0'] - x1 = self.crop['x1'] - y0 = self.crop['y0'] - y1 = self.crop['y1'] - - metadata['crop'] = {'crop': {'x0': x0, - 'y0': y0, - 'x1': x1, - 'y1': y1 - }, - } - metadata['input folder'] = working_dir - metadata['output folder'] = base_working_dir + metadata["rotation value (degrees)"] = self.rotation_value + x0 = self.crop["x0"] + x1 = self.crop["x1"] + y0 = self.crop["y0"] + y1 = self.crop["y1"] + + metadata["crop"] = { + "crop": {"x0": x0, "y0": y0, "x1": x1, "y1": y1}, + } + metadata["input folder"] = working_dir + metadata["output folder"] = base_working_dir for index, image in enumerate(list_images_corrected): - _name = os.path.basename(list_of_images[index]) base_name_without_suffix = PurePosixPath(_name).stem base_name_of_ascii_file = str(base_name_without_suffix) + "_profile_corrected.csv" @@ -521,11 +483,11 @@ def export(self, output_folder): progress_bar.close() - display(HTML('' + str(nbr_images) + ' ASCII files created!')) + display(HTML('' + str(nbr_images) + " ASCII files created!")) - json_file_name = os.path.join(base_working_dir, 'metadata.json') - with open(json_file_name, 'w') as outfile: + json_file_name = os.path.join(base_working_dir, "metadata.json") + with open(json_file_name, "w") as outfile: json.dump(metadata, outfile) display(HTML(' metadata json file created (metadata.json)!')) - display(HTML(' Output folder: ' + base_working_dir + '!')) + display(HTML(' Output folder: ' + base_working_dir + "!")) diff --git a/util/.pre_commit.py b/util/.pre_commit.py index 5bdf414a..5b19bb74 100755 --- a/util/.pre_commit.py +++ b/util/.pre_commit.py @@ -1,15 +1,13 @@ import argparse -import os import glob +import os -from __code.file_handler import read_ascii, make_ascii_file_from_string +from __code.file_handler import make_ascii_file_from_string, read_ascii # this will clean up all the ipynb files by running the nbstripout program # in the specified folder -parser = argparse.ArgumentParser( - description="Preparing notebooks for deploymenet to analysis machine" -) +parser = argparse.ArgumentParser(description="Preparing notebooks for deploymenet to analysis machine") parser.add_argument("-i", "--input", help="Input folder to clean.", type=str) @@ -23,8 +21,8 @@ def run(): print("Cleaning ...") for _notebook in list_notebooks: - os.system("nbstripout {}".format(_notebook)) - print(" > {}".format(_notebook)) + os.system(f"nbstripout {_notebook}") + print(f" > {_notebook}") list_notebooks_after = glob.glob(os.path.abspath(_file_path) + "/*.ipynb") list_notebooks_after.sort() @@ -35,7 +33,7 @@ def run(): print(" Cleaning Result: WARNNG!") for _file in list_notebooks: if _file not in list_notebooks_after: - print(" Missing File: {}".format(_file)) + print(f" Missing File: {_file}") # turn debugging flag OFF print("Turning Off Debugging Mode!") diff --git a/util/installation_check.py b/util/installation_check.py index 2ffdc8fa..4cfc8d64 100755 --- a/util/installation_check.py +++ b/util/installation_check.py @@ -1,5 +1,3 @@ -from __future__ import print_function - requirements = [ "jupyter", "matplotlib", @@ -50,10 +48,7 @@ if success: print("All required packages installed") else: - print( - "Please install these missing packages " - "to be able to run the Imaging Notebooks." - ) + print("Please install these missing packages " "to be able to run the Imaging Notebooks.") missing = [k for k, v in import_result.items() if not v] print("\t" + "\n\t".join(missing)) @@ -68,16 +63,12 @@ def version_checker(package_name, version, nbextension=None): if nbextension is None: nbextension = package_name if not good_version: - print( - "\n**** Please upgrade {} to version {} by running:".format( - package_name, version_check_packages[package_name] - ) - ) - print(" conda remove --force {} # if you use conda".format(package_name)) - print(" pip install --pre --upgrade {}".format(package_name)) - print(" jupyter nbextension enable --py {}".format(nbextension)) + print(f"\n**** Please upgrade {package_name} to version {version_check_packages[package_name]} by running:") + print(f" conda remove --force {package_name} # if you use conda") + print(f" pip install --pre --upgrade {package_name}") + print(f" jupyter nbextension enable --py {nbextension}") else: - print("{} version is good!".format(package_name)) + print(f"{package_name} version is good!") # Check as many packages as we can...