From ade9a479ec1c824792b54a273f62f64cff0c3a6d Mon Sep 17 00:00:00 2001 From: Will Boxx Date: Mon, 15 Jun 2020 16:54:28 -0500 Subject: [PATCH] Made some functional changes --- .gitignore | 204 +-- .travis.yml | 128 +- .vscode/settings.json | 8 +- AUTHORS.rst | 26 +- CONTRIBUTING.rst | 256 +-- HISTORY.rst | 16 +- LICENSE | 66 +- Makefile | 184 +- README.rst | 100 +- appveyor.yml | 148 +- docs/Makefile | 40 +- docs/_build/html/.buildinfo | 8 +- .../antenna_intensity_modeler/parabolic.html | 640 +++---- docs/_build/html/_modules/index.html | 150 +- .../antenna_intensity_modeler.rst.txt | 60 +- docs/_build/html/_sources/authors.rst.txt | 2 +- .../_build/html/_sources/contributing.rst.txt | 2 +- docs/_build/html/_sources/history.rst.txt | 2 +- docs/_build/html/_sources/index.rst.txt | 40 +- .../_build/html/_sources/installation.rst.txt | 102 +- docs/_build/html/_sources/modules.rst.txt | 14 +- docs/_build/html/_sources/readme.rst.txt | 2 +- docs/_build/html/_sources/usage.rst.txt | 14 +- docs/_build/html/_static/basic.css | 1526 ++++++++--------- docs/_build/html/_static/doctools.js | 628 +++---- .../html/_static/documentation_options.js | 18 +- docs/_build/html/_static/jquery.js | 4 +- docs/_build/html/_static/nature.css | 502 +++--- docs/_build/html/_static/pygments.css | 136 +- docs/_build/html/_static/searchtools.js | 1012 +++++------ .../html/antenna_intensity_modeler.html | 504 +++--- docs/_build/html/authors.html | 244 +-- docs/_build/html/contributing.html | 478 +++--- docs/_build/html/genindex.html | 248 +-- docs/_build/html/history.html | 214 +-- docs/_build/html/index.html | 290 ++-- docs/_build/html/installation.html | 276 +-- docs/_build/html/modules.html | 228 +-- docs/_build/html/py-modindex.html | 198 +-- docs/_build/html/readme.html | 276 +-- docs/_build/html/search.html | 180 +- docs/_build/html/usage.html | 214 +-- docs/antenna_intensity_modeler.rst | 60 +- docs/authors.rst | 2 +- docs/conf.py | 326 ++-- docs/contributing.rst | 2 +- docs/history.rst | 2 +- docs/index.rst | 40 +- docs/installation.rst | 102 +- docs/make.bat | 72 +- docs/modules.rst | 14 +- docs/readme.rst | 2 +- docs/usage.rst | 14 +- make.ps1 | 406 ++--- poetry.lock | 1474 ++++++++-------- pyproject.toml | 104 +- setup.cfg | 44 +- src/DARC.py | 153 ++ src/DARC2.py | 38 + src/DARC3.py | 131 ++ src/DARC4.py | 114 ++ src/DARC5.py | 51 + src/antenna_intensity_modeler/__init__.py | 14 +- src/antenna_intensity_modeler/cli.py | 36 +- src/antenna_intensity_modeler/parabolic.py | 1015 ++++++++--- src/limit_line_0.9_angle_0.csv | 1001 +++++++++++ src/limit_line_0.9_angle_5.csv | 1001 +++++++++++ src/limit_line_10.0_angle_0.csv | 1001 +++++++++++ src/limit_line_10.0_angle_5.csv | 1001 +++++++++++ src/limit_line_100.0_angle_0.csv | 1001 +++++++++++ src/limit_line_100.0_angle_5.csv | 1001 +++++++++++ src/limit_line_128.4_angle_0.csv | 1001 +++++++++++ src/limit_line_128.4_angle_5.csv | 1001 +++++++++++ src/limit_line_14.9_angle_0.csv | 1001 +++++++++++ src/limit_line_14.9_angle_5.csv | 1001 +++++++++++ src/limit_line_38.2_angle_0.csv | 1001 +++++++++++ src/limit_line_38.2_angle_5.csv | 1001 +++++++++++ src/limitation_line_angle_0.csv | 1001 +++++++++++ src/limitation_line_angle_5.csv | 1001 +++++++++++ src/test.py | 16 + tests/test_antenna_intensity_modeler.py | 142 +- tox.ini | 54 +- 82 files changed, 21439 insertions(+), 6391 deletions(-) create mode 100644 src/DARC.py create mode 100644 src/DARC2.py create mode 100644 src/DARC3.py create mode 100644 src/DARC4.py create mode 100644 src/DARC5.py create mode 100644 src/limit_line_0.9_angle_0.csv create mode 100644 src/limit_line_0.9_angle_5.csv create mode 100644 src/limit_line_10.0_angle_0.csv create mode 100644 src/limit_line_10.0_angle_5.csv create mode 100644 src/limit_line_100.0_angle_0.csv create mode 100644 src/limit_line_100.0_angle_5.csv create mode 100644 src/limit_line_128.4_angle_0.csv create mode 100644 src/limit_line_128.4_angle_5.csv create mode 100644 src/limit_line_14.9_angle_0.csv create mode 100644 src/limit_line_14.9_angle_5.csv create mode 100644 src/limit_line_38.2_angle_0.csv create mode 100644 src/limit_line_38.2_angle_5.csv create mode 100644 src/limitation_line_angle_0.csv create mode 100644 src/limitation_line_angle_5.csv create mode 100644 src/test.py diff --git a/.gitignore b/.gitignore index 396f9bb..e78ea17 100644 --- a/.gitignore +++ b/.gitignore @@ -1,103 +1,103 @@ -# Byte-compiled / optimized / DLL files -__pycache__/ -*.py[cod] -*$py.class - -# C extensions -*.so - -# Distribution / packaging -.Python -env/ -build/ -develop-eggs/ -dist/ -downloads/ -eggs/ -.eggs/ -lib/ -lib64/ -parts/ -sdist/ -var/ -wheels/ -*.egg-info/ -.installed.cfg -*.egg - -# PyInstaller -# Usually these files are written by a python script from a template -# before PyInstaller builds the exe, so as to inject date/other infos into it. -*.manifest -*.spec - -# Installer logs -pip-log.txt -pip-delete-this-directory.txt - -# Unit test / coverage reports -htmlcov/ -.tox/ -.coverage -.coverage.* -.cache -nosetests.xml -coverage.xml -*.cover -.hypothesis/ -.pytest_cache/ - -# Translations -*.mo -*.pot - -# Django stuff: -*.log -local_settings.py - -# Flask stuff: -instance/ -.webassets-cache - -# Scrapy stuff: -.scrapy - -# Sphinx documentation -docs/_build/ - -# PyBuilder -target/ - -# Jupyter Notebook -.ipynb_checkpoints - -# pyenv -.python-version - -# celery beat schedule file -celerybeat-schedule - -# SageMath parsed files -*.sage.py - -# dotenv -.env - -# virtualenv -.venv -venv/ -ENV/ - -# Spyder project settings -.spyderproject -.spyproject - -# Rope project settings -.ropeproject - -# mkdocs documentation -/site - -# mypy -.mypy_cache/ +# Byte-compiled / optimized / DLL files +__pycache__/ +*.py[cod] +*$py.class + +# C extensions +*.so + +# Distribution / packaging +.Python +env/ +build/ +develop-eggs/ +dist/ +downloads/ +eggs/ +.eggs/ +lib/ +lib64/ +parts/ +sdist/ +var/ +wheels/ +*.egg-info/ +.installed.cfg +*.egg + +# PyInstaller +# Usually these files are written by a python script from a template +# before PyInstaller builds the exe, so as to inject date/other infos into it. +*.manifest +*.spec + +# Installer logs +pip-log.txt +pip-delete-this-directory.txt + +# Unit test / coverage reports +htmlcov/ +.tox/ +.coverage +.coverage.* +.cache +nosetests.xml +coverage.xml +*.cover +.hypothesis/ +.pytest_cache/ + +# Translations +*.mo +*.pot + +# Django stuff: +*.log +local_settings.py + +# Flask stuff: +instance/ +.webassets-cache + +# Scrapy stuff: +.scrapy + +# Sphinx documentation +docs/_build/ + +# PyBuilder +target/ + +# Jupyter Notebook +.ipynb_checkpoints + +# pyenv +.python-version + +# celery beat schedule file +celerybeat-schedule + +# SageMath parsed files +*.sage.py + +# dotenv +.env + +# virtualenv +.venv +venv/ +ENV/ + +# Spyder project settings +.spyderproject +.spyproject + +# Rope project settings +.ropeproject + +# mkdocs documentation +/site + +# mypy +.mypy_cache/ alabaster \ No newline at end of file diff --git a/.travis.yml b/.travis.yml index 6e644de..f64f10a 100644 --- a/.travis.yml +++ b/.travis.yml @@ -1,64 +1,64 @@ -# Config file for automatic testing at travis-ci.org -sudo: false -language: python -matrix: - include: - - name: "Python 3.6.3 on Xenial Linux" - python: 3.6 # this works for Linux but is ignored on macOS or Windows - env: TEST=tox - - name: "Python 3.5.6 on Xenial Linux" - python: 3.5 - env: TEST=tox - - name: "Python 3.6.8 on Windows" - os: windows # Windows 10.0.17134 N/A Build 17134 - language: shell # 'language: python' is an error on Travis CI Windows - before_install: - - choco install python3 --version 3.6.8 # this install takes at least 1 min 30 sec - - python -m pip install --upgrade pip - before_script: - - poetry install - env: - - PATH=/c/Python36:/c/Python36/Scripts:$PATH; - - TEST="poetry run pytest --cov=src/antenna_intensity_modeler tests/" - - name: "Python 3.5.4 on Windows" - os: windows # Windows 10.0.17134 N/A Build 17134 - language: shell # 'language: python' is an error on Travis CI Windows - before_install: - - choco install python3 -version 3.5.4 # this install takes at least 1 min 30 sec - - python -m pip install --upgrade pip - before_script: - - poetry install - env: - - PATH=/c/Python35:/c/Python35/Scripts:$PATH; - - TEST="poetry run pytest --cov=src/antenna_intensity_modeler tests/" - -env: - global: - - secure: "nPG6veYLoq/o6Hg6h/O6+ZkZgFVKyMch16+KIUSfHI0RK+2LD3BM0HsMmhuMbkwOjiLCSSU6N260eReIYZpcvoBHzxA32VeX3VeKp572LOKWN1FG1+/R7ebzbEXkLWQHAMavFr+5IJfGMOZB/y9jbMSBLKVLRC51EJFnt8lg4/2Wlcy7/i02nSvjD0ToIKk33gOCXKjk6TH1BsuuvrnjSEmvEQscrqN7kVjhB/QEGBXqi6vn0YcS2FO+EcAXtJ5zoEi4eRi6DOAl0RndfHSTmzc6Row5nvWRT/OJdEroA1q5xfjArskpQBe3kLZ/XpFPTMHznBbtTIddZlS0GdtisfU+z/d4Ez2HezDsDkHRiGdE90M4f7TnAcNuxOGXaBxaNooMD7oLerPvV0YzoyQqrY/sR/nPGhk3psxzczWiUMZGQfDOLID/IFG9wH+yOo68VYrLQwNBZMPqWK+EIDGTejx5jAtODN8Jy7h4bQC/vjfNOr7t7ne2sJMYsGwZNnpp7zFYw1EsqBLgz55/aOfcIem/7BvYT4bghRg6JfVfk+drDkiEPUTPtJ5Y9xbsqEJuzM0NPNv6tM/aw0dEYVPwsPc3jcnKG6T+ZG4/AGM+KiYWnDwRZ7pNYva730su3mtTDGcGnWYv6+y/bteGOfDmXfUHQC0GRCYHQMrG8emdTjM=" - -# Command to install dependencies, e.g. pip install -r requirements.txt --use-mirrors -install: -- pip install -U poetry -- pip install -U tox-travis - - -# Command to run tests, e.g. python setup.py test -script: $TEST - -# Assuming you have installed the travis-ci CLI tool, after you -# create the Github repo and add it to Travis, run the -# following command to finish PyPI deployment setup: -# $ travis encrypt --add deploy.password - -before-deploy: -- poetry config http-basic.mypypi wboxx1 $TRAVIS_PASS -- poetry build - -#deploy: -# provider: script -# script: poetry publish -# on: -# tags: true -# repo: wboxx1/antenna-intensity-modeler -# branch: master -# python: 3.6 +# Config file for automatic testing at travis-ci.org +sudo: false +language: python +matrix: + include: + - name: "Python 3.6.3 on Xenial Linux" + python: 3.6 # this works for Linux but is ignored on macOS or Windows + env: TEST=tox + - name: "Python 3.5.6 on Xenial Linux" + python: 3.5 + env: TEST=tox + - name: "Python 3.6.8 on Windows" + os: windows # Windows 10.0.17134 N/A Build 17134 + language: shell # 'language: python' is an error on Travis CI Windows + before_install: + - choco install python3 --version 3.6.8 # this install takes at least 1 min 30 sec + - python -m pip install --upgrade pip + before_script: + - poetry install + env: + - PATH=/c/Python36:/c/Python36/Scripts:$PATH; + - TEST="poetry run pytest --cov=src/antenna_intensity_modeler tests/" + - name: "Python 3.5.4 on Windows" + os: windows # Windows 10.0.17134 N/A Build 17134 + language: shell # 'language: python' is an error on Travis CI Windows + before_install: + - choco install python3 -version 3.5.4 # this install takes at least 1 min 30 sec + - python -m pip install --upgrade pip + before_script: + - poetry install + env: + - PATH=/c/Python35:/c/Python35/Scripts:$PATH; + - TEST="poetry run pytest --cov=src/antenna_intensity_modeler tests/" + +env: + global: + - secure: "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" + +# Command to install dependencies, e.g. pip install -r requirements.txt --use-mirrors +install: +- pip install -U poetry +- pip install -U tox-travis + + +# Command to run tests, e.g. python setup.py test +script: $TEST + +# Assuming you have installed the travis-ci CLI tool, after you +# create the Github repo and add it to Travis, run the +# following command to finish PyPI deployment setup: +# $ travis encrypt --add deploy.password + +before-deploy: +- poetry config http-basic.mypypi wboxx1 $TRAVIS_PASS +- poetry build + +#deploy: +# provider: script +# script: poetry publish +# on: +# tags: true +# repo: wboxx1/antenna-intensity-modeler +# branch: master +# python: 3.6 diff --git a/.vscode/settings.json b/.vscode/settings.json index 71f252e..d76ba6d 100644 --- a/.vscode/settings.json +++ b/.vscode/settings.json @@ -1,3 +1,7 @@ -{ - "python.pythonPath": "C:\\Users\\SCYT\\Anaconda3\\envs\\py36\\python.exe" +{ + "python.pythonPath": "C:\\Users\\SCYT\\Anaconda3\\envs\\py36\\python.exe", + "deepcode.review.results.hideInformationIssues": false, + "python.linting.pylintEnabled": true, + "python.linting.pycodestyleEnabled": false, + "python.linting.enabled": true } \ No newline at end of file diff --git a/AUTHORS.rst b/AUTHORS.rst index 6e853c5..8e818fb 100644 --- a/AUTHORS.rst +++ b/AUTHORS.rst @@ -1,13 +1,13 @@ -======= -Credits -======= - -Development Lead ----------------- - -* Will Boxx - -Contributors ------------- - -None yet. Why not be the first? +======= +Credits +======= + +Development Lead +---------------- + +* Will Boxx + +Contributors +------------ + +None yet. Why not be the first? diff --git a/CONTRIBUTING.rst b/CONTRIBUTING.rst index 1af5fd4..7d3c0ea 100644 --- a/CONTRIBUTING.rst +++ b/CONTRIBUTING.rst @@ -1,128 +1,128 @@ -.. highlight:: shell - -============ -Contributing -============ - -Contributions are welcome, and they are greatly appreciated! Every little bit -helps, and credit will always be given. - -You can contribute in many ways: - -Types of Contributions ----------------------- - -Report Bugs -~~~~~~~~~~~ - -Report bugs at https://github.com/wboxx1/antenna_intensity_modeler/issues. - -If you are reporting a bug, please include: - -* Your operating system name and version. -* Any details about your local setup that might be helpful in troubleshooting. -* Detailed steps to reproduce the bug. - -Fix Bugs -~~~~~~~~ - -Look through the GitHub issues for bugs. Anything tagged with "bug" and "help -wanted" is open to whoever wants to implement it. - -Implement Features -~~~~~~~~~~~~~~~~~~ - -Look through the GitHub issues for features. Anything tagged with "enhancement" -and "help wanted" is open to whoever wants to implement it. - -Write Documentation -~~~~~~~~~~~~~~~~~~~ - -antenna-intensity-modeler could always use more documentation, whether as part of the -official antenna-intensity-modeler docs, in docstrings, or even on the web in blog posts, -articles, and such. - -Submit Feedback -~~~~~~~~~~~~~~~ - -The best way to send feedback is to file an issue at https://github.com/wboxx1/antenna_intensity_modeler/issues. - -If you are proposing a feature: - -* Explain in detail how it would work. -* Keep the scope as narrow as possible, to make it easier to implement. -* Remember that this is a volunteer-driven project, and that contributions - are welcome :) - -Get Started! ------------- - -Ready to contribute? Here's how to set up `antenna-intensity-modeler` for local development. - -1. Fork the `antenna-intensity-modeler` repo on GitHub. -2. Clone your fork locally:: - - $ git clone git@github.com:your_name_here/antenna-intensity-modeler.git - -3. Install your local copy into a virtualenv using poetry. Assuming you have poetry installed, this is how you set up your fork for local development:: - - $ cd antenna_intensity_modeler/ - $ poetry install - $ poetry shell - -4. Create a branch for local development:: - - $ git checkout -b name-of-your-bugfix-or-feature - - Now you can make your changes locally. - -5. When you're done making changes, check that your changes pass flake8 and the - tests, including testing other Python versions with tox:: - - $ flake8 src/antenna_intensity_modeler tests - $ tox - - To get flake8 and tox, just pip install them into your virtualenv. - -6. Commit your changes and push your branch to GitHub:: - - $ git add . - $ git commit -m "Your detailed description of your changes." - $ git push origin name-of-your-bugfix-or-feature - -7. Submit a pull request through the GitHub website. - -Pull Request Guidelines ------------------------ - -Before you submit a pull request, check that it meets these guidelines: - -1. The pull request should include tests. -2. If the pull request adds functionality, the docs should be updated. Put - your new functionality into a function with a docstring, and add the - feature to the list in README.rst. -3. The pull request should work for Python 2.7, 3.4, 3.5 and 3.6, and for PyPy. Check - https://travis-ci.org/wboxx1/antenna_intensity_modeler/pull_requests - https://ci.appveyor.com/project/wboxx1/antenna_intensity_modeler - and make sure that the tests pass for all supported Python versions. - -Tips ----- - -To run a subset of tests:: - -$ poetry run pytest tests/ - - -Deploying ---------- - -A reminder for the maintainers on how to deploy. -Make sure all your changes are committed (including an entry in HISTORY.rst). -Then run:: - -$ bump2version patch # possible: major / minor / patch -$ git push -$ git push --tags - -Travis will then deploy to PyPI if tests pass. +.. highlight:: shell + +============ +Contributing +============ + +Contributions are welcome, and they are greatly appreciated! Every little bit +helps, and credit will always be given. + +You can contribute in many ways: + +Types of Contributions +---------------------- + +Report Bugs +~~~~~~~~~~~ + +Report bugs at https://github.com/wboxx1/antenna_intensity_modeler/issues. + +If you are reporting a bug, please include: + +* Your operating system name and version. +* Any details about your local setup that might be helpful in troubleshooting. +* Detailed steps to reproduce the bug. + +Fix Bugs +~~~~~~~~ + +Look through the GitHub issues for bugs. Anything tagged with "bug" and "help +wanted" is open to whoever wants to implement it. + +Implement Features +~~~~~~~~~~~~~~~~~~ + +Look through the GitHub issues for features. Anything tagged with "enhancement" +and "help wanted" is open to whoever wants to implement it. + +Write Documentation +~~~~~~~~~~~~~~~~~~~ + +antenna-intensity-modeler could always use more documentation, whether as part of the +official antenna-intensity-modeler docs, in docstrings, or even on the web in blog posts, +articles, and such. + +Submit Feedback +~~~~~~~~~~~~~~~ + +The best way to send feedback is to file an issue at https://github.com/wboxx1/antenna_intensity_modeler/issues. + +If you are proposing a feature: + +* Explain in detail how it would work. +* Keep the scope as narrow as possible, to make it easier to implement. +* Remember that this is a volunteer-driven project, and that contributions + are welcome :) + +Get Started! +------------ + +Ready to contribute? Here's how to set up `antenna-intensity-modeler` for local development. + +1. Fork the `antenna-intensity-modeler` repo on GitHub. +2. Clone your fork locally:: + + $ git clone git@github.com:your_name_here/antenna-intensity-modeler.git + +3. Install your local copy into a virtualenv using poetry. Assuming you have poetry installed, this is how you set up your fork for local development:: + + $ cd antenna_intensity_modeler/ + $ poetry install + $ poetry shell + +4. Create a branch for local development:: + + $ git checkout -b name-of-your-bugfix-or-feature + + Now you can make your changes locally. + +5. When you're done making changes, check that your changes pass flake8 and the + tests, including testing other Python versions with tox:: + + $ flake8 src/antenna_intensity_modeler tests + $ tox + + To get flake8 and tox, just pip install them into your virtualenv. + +6. Commit your changes and push your branch to GitHub:: + + $ git add . + $ git commit -m "Your detailed description of your changes." + $ git push origin name-of-your-bugfix-or-feature + +7. Submit a pull request through the GitHub website. + +Pull Request Guidelines +----------------------- + +Before you submit a pull request, check that it meets these guidelines: + +1. The pull request should include tests. +2. If the pull request adds functionality, the docs should be updated. Put + your new functionality into a function with a docstring, and add the + feature to the list in README.rst. +3. The pull request should work for Python 2.7, 3.4, 3.5 and 3.6, and for PyPy. Check + https://travis-ci.org/wboxx1/antenna_intensity_modeler/pull_requests + https://ci.appveyor.com/project/wboxx1/antenna_intensity_modeler + and make sure that the tests pass for all supported Python versions. + +Tips +---- + +To run a subset of tests:: + +$ poetry run pytest tests/ + + +Deploying +--------- + +A reminder for the maintainers on how to deploy. +Make sure all your changes are committed (including an entry in HISTORY.rst). +Then run:: + +$ bump2version patch # possible: major / minor / patch +$ git push +$ git push --tags + +Travis will then deploy to PyPI if tests pass. diff --git a/HISTORY.rst b/HISTORY.rst index f61b8f7..ae678ca 100644 --- a/HISTORY.rst +++ b/HISTORY.rst @@ -1,8 +1,8 @@ -======= -History -======= - -0.1.0 (2018-12-15) ------------------- - -* First release on PyPI. +======= +History +======= + +0.1.0 (2018-12-15) +------------------ + +* First release on PyPI. diff --git a/LICENSE b/LICENSE index e2c2f87..fd9258b 100644 --- a/LICENSE +++ b/LICENSE @@ -1,33 +1,33 @@ -GNU GENERAL PUBLIC LICENSE - Version 3, 29 June 2007 - - Create near-field plots of parabolic dish antennas. - Copyright (C) 2018 Will Boxx - - This program is free software: you can redistribute it and/or modify - it under the terms of the GNU General Public License as published by - the Free Software Foundation, either version 3 of the License, or - (at your option) any later version. - - This program is distributed in the hope that it will be useful, - but WITHOUT ANY WARRANTY; without even the implied warranty of - MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the - GNU General Public License for more details. - - You should have received a copy of the GNU General Public License - along with this program. If not, see . - -Also add information on how to contact you by electronic and paper mail. - - You should also get your employer (if you work as a programmer) or school, -if any, to sign a "copyright disclaimer" for the program, if necessary. -For more information on this, and how to apply and follow the GNU GPL, see -. - - The GNU General Public License does not permit incorporating your program -into proprietary programs. If your program is a subroutine library, you -may consider it more useful to permit linking proprietary applications with -the library. If this is what you want to do, use the GNU Lesser General -Public License instead of this License. But first, please read -. - +GNU GENERAL PUBLIC LICENSE + Version 3, 29 June 2007 + + Create near-field plots of parabolic dish antennas. + Copyright (C) 2018 Will Boxx + + This program is free software: you can redistribute it and/or modify + it under the terms of the GNU General Public License as published by + the Free Software Foundation, either version 3 of the License, or + (at your option) any later version. + + This program is distributed in the hope that it will be useful, + but WITHOUT ANY WARRANTY; without even the implied warranty of + MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the + GNU General Public License for more details. + + You should have received a copy of the GNU General Public License + along with this program. If not, see . + +Also add information on how to contact you by electronic and paper mail. + + You should also get your employer (if you work as a programmer) or school, +if any, to sign a "copyright disclaimer" for the program, if necessary. +For more information on this, and how to apply and follow the GNU GPL, see +. + + The GNU General Public License does not permit incorporating your program +into proprietary programs. If your program is a subroutine library, you +may consider it more useful to permit linking proprietary applications with +the library. If this is what you want to do, use the GNU Lesser General +Public License instead of this License. But first, please read +. + diff --git a/Makefile b/Makefile index 039fa46..af98961 100644 --- a/Makefile +++ b/Makefile @@ -1,92 +1,92 @@ -.PHONY: clean clean-test clean-pyc clean-build docs help -.DEFAULT_GOAL := help - -define BROWSER_PYSCRIPT -import os, webbrowser, sys - -try: - from urllib import pathname2url -except: - from urllib.request import pathname2url - -webbrowser.open("file://" + pathname2url(os.path.abspath(sys.argv[1]))) -endef -export BROWSER_PYSCRIPT - -define PRINT_HELP_PYSCRIPT -import re, sys - -for line in sys.stdin: - match = re.match(r'^([a-zA-Z_-]+):.*?## (.*)$$', line) - if match: - target, help = match.groups() - print("%-20s %s" % (target, help)) -endef -export PRINT_HELP_PYSCRIPT - -BROWSER := python -c "$$BROWSER_PYSCRIPT" - -help: - @python -c "$$PRINT_HELP_PYSCRIPT" < $(MAKEFILE_LIST) - -clean: clean-build clean-pyc clean-test ## remove all build, test, coverage and Python artifacts - -clean-build: ## remove build artifacts - rm -fr build/ - rm -fr dist/ - rm -fr .eggs/ - find . -name '*.egg-info' -exec rm -fr {} + - find . -name '*.egg' -exec rm -f {} + - -clean-pyc: ## remove Python file artifacts - find . -name '*.pyc' -exec rm -f {} + - find . -name '*.pyo' -exec rm -f {} + - find . -name '*~' -exec rm -f {} + - find . -name '__pycache__' -exec rm -fr {} + - -clean-test: ## remove test and coverage artifacts - rm -fr .tox/ - rm -f .coverage - rm -fr htmlcov/ - rm -fr .pytest_cache - -lint: ## check style with flake8 - flake8 antenna_intensity_modeler tests - -test: ## run tests quickly with the default Python - poetry run pytest --cov=src/antenna_intensity_modeler tests/ - -test-all: ## run tests on every Python version with tox - poetry run tox - -coverage: ## check code coverage quickly with the default Python - poetry run coverage run --source src/antenna_intensity_modeler -m pytest - poetry run coverage report -m - poetry run coverage html - poetry run $(BROWSER) htmlcov/index.html - -docs: ## generate Sphinx HTML documentation, including API docs - rm -f docs/antenna_intensity_modeler.rst - rm -f docs/modules.rst - sphinx-apidoc -o docs/ src/antenna_intensity_modeler - $(MAKE) -C docs clean - $(MAKE) -C docs html - $(BROWSER) docs/_build/html/index.html - -servedocs: docs ## compile the docs watching for changes - watchmedo shell-command -p '*.rst' -c '$(MAKE) -C docs html' -R -D . - -release: dist ## package and upload a release - poetry publish - -dist: clean ## builds source and wheel package - poetry build - -install: clean ## install the package to the active Python's site-packages - poetry install - -version-major: - bump2version major - -version-minor: - bump2version minor +.PHONY: clean clean-test clean-pyc clean-build docs help +.DEFAULT_GOAL := help + +define BROWSER_PYSCRIPT +import os, webbrowser, sys + +try: + from urllib import pathname2url +except: + from urllib.request import pathname2url + +webbrowser.open("file://" + pathname2url(os.path.abspath(sys.argv[1]))) +endef +export BROWSER_PYSCRIPT + +define PRINT_HELP_PYSCRIPT +import re, sys + +for line in sys.stdin: + match = re.match(r'^([a-zA-Z_-]+):.*?## (.*)$$', line) + if match: + target, help = match.groups() + print("%-20s %s" % (target, help)) +endef +export PRINT_HELP_PYSCRIPT + +BROWSER := python -c "$$BROWSER_PYSCRIPT" + +help: + @python -c "$$PRINT_HELP_PYSCRIPT" < $(MAKEFILE_LIST) + +clean: clean-build clean-pyc clean-test ## remove all build, test, coverage and Python artifacts + +clean-build: ## remove build artifacts + rm -fr build/ + rm -fr dist/ + rm -fr .eggs/ + find . -name '*.egg-info' -exec rm -fr {} + + find . -name '*.egg' -exec rm -f {} + + +clean-pyc: ## remove Python file artifacts + find . -name '*.pyc' -exec rm -f {} + + find . -name '*.pyo' -exec rm -f {} + + find . -name '*~' -exec rm -f {} + + find . -name '__pycache__' -exec rm -fr {} + + +clean-test: ## remove test and coverage artifacts + rm -fr .tox/ + rm -f .coverage + rm -fr htmlcov/ + rm -fr .pytest_cache + +lint: ## check style with flake8 + flake8 antenna_intensity_modeler tests + +test: ## run tests quickly with the default Python + poetry run pytest --cov=src/antenna_intensity_modeler tests/ + +test-all: ## run tests on every Python version with tox + poetry run tox + +coverage: ## check code coverage quickly with the default Python + poetry run coverage run --source src/antenna_intensity_modeler -m pytest + poetry run coverage report -m + poetry run coverage html + poetry run $(BROWSER) htmlcov/index.html + +docs: ## generate Sphinx HTML documentation, including API docs + rm -f docs/antenna_intensity_modeler.rst + rm -f docs/modules.rst + sphinx-apidoc -o docs/ src/antenna_intensity_modeler + $(MAKE) -C docs clean + $(MAKE) -C docs html + $(BROWSER) docs/_build/html/index.html + +servedocs: docs ## compile the docs watching for changes + watchmedo shell-command -p '*.rst' -c '$(MAKE) -C docs html' -R -D . + +release: dist ## package and upload a release + poetry publish + +dist: clean ## builds source and wheel package + poetry build + +install: clean ## install the package to the active Python's site-packages + poetry install + +version-major: + bump2version major + +version-minor: + bump2version minor diff --git a/README.rst b/README.rst index 61d9afc..4bd4f71 100644 --- a/README.rst +++ b/README.rst @@ -1,50 +1,50 @@ -========================= -antenna-intensity-modeler -========================= - - -.. image:: https://img.shields.io/pypi/v/antenna_intensity_modeler.svg - :target: https://pypi.python.org/pypi/antenna_intensity_modeler - -.. image:: https://travis-ci.com/wboxx1/antenna-intensity-modeler.svg?branch=master - :target: https://travis-ci.com/wboxx1/antenna-intensity-modeler - :alt: Build status on travis-ci - -.. image:: https://ci.appveyor.com/api/projects/status/a9phai3m3pxjwtt5?svg=true - :target: https://ci.appveyor.com/project/wboxx1/antenna-intensity-modeler - :alt: Build status on Appveyor - -.. image:: https://pyup.io/repos/github/wboxx1/antenna-intensity-modeler/shield.svg - :target: https://pyup.io/repos/github/wboxx1/antenna-intensity-modeler/ - :alt: Updates - - - -Create near-field plots of parabolic dish antennas. - - -* Free software: GNU General Public License v3 - -* Documentation: https://wboxx1.github.io/antenna-intensity-modeler - - - -Installation: -------------- - -.. code-block:: console - - $ pip install antenna-intensity-modeler - -Features --------- - -* TODO - -Credits -------- - -This package was created with Cookiecutter_ and the `wboxx1/cookiecutter-pypackage`_ project template. - -.. _Cookiecutter: https://github.com/audreyr/cookiecutter -.. _`wboxx1/cookiecutter-pypackage`: https://github.com/wboxx1/cookiecutter-pypackage-poetry +========================= +antenna-intensity-modeler +========================= + + +.. image:: https://img.shields.io/pypi/v/antenna_intensity_modeler.svg + :target: https://pypi.python.org/pypi/antenna_intensity_modeler + +.. image:: https://travis-ci.com/wboxx1/antenna-intensity-modeler.svg?branch=master + :target: https://travis-ci.com/wboxx1/antenna-intensity-modeler + :alt: Build status on travis-ci + +.. image:: https://ci.appveyor.com/api/projects/status/a9phai3m3pxjwtt5?svg=true + :target: https://ci.appveyor.com/project/wboxx1/antenna-intensity-modeler + :alt: Build status on Appveyor + +.. image:: https://pyup.io/repos/github/wboxx1/antenna-intensity-modeler/shield.svg + :target: https://pyup.io/repos/github/wboxx1/antenna-intensity-modeler/ + :alt: Updates + + + +Create near-field plots of parabolic dish antennas. + + +* Free software: GNU General Public License v3 + +* Documentation: https://wboxx1.github.io/antenna-intensity-modeler + + + +Installation: +------------- + +.. code-block:: console + + $ pip install antenna-intensity-modeler + +Features +-------- + +* TODO + +Credits +------- + +This package was created with Cookiecutter_ and the `wboxx1/cookiecutter-pypackage`_ project template. + +.. _Cookiecutter: https://github.com/audreyr/cookiecutter +.. _`wboxx1/cookiecutter-pypackage`: https://github.com/wboxx1/cookiecutter-pypackage-poetry diff --git a/appveyor.yml b/appveyor.yml index 3cf4728..012cbc0 100644 --- a/appveyor.yml +++ b/appveyor.yml @@ -1,74 +1,74 @@ -# What Python version is installed where: -# http://www.appveyor.com/docs/installed-software#python - -environment: - PYPI_PASS: - secure: SEvlitnAdM1GA2tm3AIENvQorlxl3vU41/2Jol2hTdc= - matrix: - - APPVEYOR_BUILD_WORKER_IMAGE: Visual Studio 2017 - PYTHON: "C:\\Python35" - TOX_ENV: "py35" - DEPLOY: "false" - - - APPVEYOR_BUILD_WORKER_IMAGE: Visual Studio 2017 - PYTHON: "C:\\Python35-x64" - TOX_ENV: "py35" - DEPLOY: "false" - - - APPVEYOR_BUILD_WORKER_IMAGE: Visual Studio 2017 - PYTHON: "C:\\Python36" - TOX_ENV: "py36" - DEPLOY: "false" - - - APPVEYOR_BUILD_WORKER_IMAGE: Visual Studio 2017 - PYTHON: "C:\\Python36-x64" - TOX_ENV: "py36" - DEPLOY: "false" - - - APPVEYOR_BUILD_WORKER_IMAGE: Ubuntu - PYTHON: "3.5" - TOX_ENV: "py35" - DEPLOY: "false" - - - APPVEYOR_BUILD_WORKER_IMAGE: Ubuntu - PYTHON: "3.6" - TOX_ENV: "py36" - DEPLOY: "true" - -init: - - cmd: set PATH=%PYTHON%;%PYTHON%\Scripts;C:\MinGW\msys\1.0\bin;%PATH% - - cmd: "git config --system http.sslcainfo \"C:\\Program Files\\Git\\mingw64\\ssl\\certs\\ca-bundle.crt\"" - - cmd: "%PYTHON%/python -V" - - cmd: "%PYTHON%/python -c \"import struct;print(8 * struct.calcsize(\'P\'))\"" - -stack: python %PYTHON% - -install: - - cmd: "%PYTHON%/Scripts/easy_install -U pip" - - cmd: "%PYTHON%/Scripts/pip install tox" - - cmd: "%PYTHON%/Scripts/pip install poetry" - - sh: "pip install -U tox" - - sh: "pip install -U poetry" - -build: false # Not a C# project, build stuff at the test step instead. - -test_script: - - cmd: "%PYTHON%/Scripts/tox -e %TOX_ENV%" - - sh: "tox -e $TOX_ENV" - -after_test: - - cmd: "%PYTHON%/Scripts/poetry build" - - sh: "poetry build" - - ps: "ls dist" - -artifacts: - - path: dist\* -before_deploy: - poetry config http-basic.pypi wboxx1 %PYPI_PASS% - -deploy_script: - - ps: | - if (($Env.APPVEYOR_REPO_TAG -eq "true") -and ($Env.DEPLOY -eq "true")) - { - poetry publish - } +# What Python version is installed where: +# http://www.appveyor.com/docs/installed-software#python + +environment: + PYPI_PASS: + secure: SEvlitnAdM1GA2tm3AIENvQorlxl3vU41/2Jol2hTdc= + matrix: + - APPVEYOR_BUILD_WORKER_IMAGE: Visual Studio 2017 + PYTHON: "C:\\Python35" + TOX_ENV: "py35" + DEPLOY: "false" + + - APPVEYOR_BUILD_WORKER_IMAGE: Visual Studio 2017 + PYTHON: "C:\\Python35-x64" + TOX_ENV: "py35" + DEPLOY: "false" + + - APPVEYOR_BUILD_WORKER_IMAGE: Visual Studio 2017 + PYTHON: "C:\\Python36" + TOX_ENV: "py36" + DEPLOY: "false" + + - APPVEYOR_BUILD_WORKER_IMAGE: Visual Studio 2017 + PYTHON: "C:\\Python36-x64" + TOX_ENV: "py36" + DEPLOY: "false" + + - APPVEYOR_BUILD_WORKER_IMAGE: Ubuntu + PYTHON: "3.5" + TOX_ENV: "py35" + DEPLOY: "false" + + - APPVEYOR_BUILD_WORKER_IMAGE: Ubuntu + PYTHON: "3.6" + TOX_ENV: "py36" + DEPLOY: "true" + +init: + - cmd: set PATH=%PYTHON%;%PYTHON%\Scripts;C:\MinGW\msys\1.0\bin;%PATH% + - cmd: "git config --system http.sslcainfo \"C:\\Program Files\\Git\\mingw64\\ssl\\certs\\ca-bundle.crt\"" + - cmd: "%PYTHON%/python -V" + - cmd: "%PYTHON%/python -c \"import struct;print(8 * struct.calcsize(\'P\'))\"" + +stack: python %PYTHON% + +install: + - cmd: "%PYTHON%/Scripts/easy_install -U pip" + - cmd: "%PYTHON%/Scripts/pip install tox" + - cmd: "%PYTHON%/Scripts/pip install poetry" + - sh: "pip install -U tox" + - sh: "pip install -U poetry" + +build: false # Not a C# project, build stuff at the test step instead. + +test_script: + - cmd: "%PYTHON%/Scripts/tox -e %TOX_ENV%" + - sh: "tox -e $TOX_ENV" + +after_test: + - cmd: "%PYTHON%/Scripts/poetry build" + - sh: "poetry build" + - ps: "ls dist" + +artifacts: + - path: dist\* +before_deploy: + poetry config http-basic.pypi wboxx1 %PYPI_PASS% + +deploy_script: + - ps: | + if (($Env.APPVEYOR_REPO_TAG -eq "true") -and ($Env.DEPLOY -eq "true")) + { + poetry publish + } diff --git a/docs/Makefile b/docs/Makefile index 382a24d..3239eee 100644 --- a/docs/Makefile +++ b/docs/Makefile @@ -1,20 +1,20 @@ -# Minimal makefile for Sphinx documentation -# - -# You can set these variables from the command line. -SPHINXOPTS = -SPHINXBUILD = python -msphinx -SPHINXPROJ = antenna_intensity_modeler -SOURCEDIR = . -BUILDDIR = _build - -# Put it first so that "make" without argument is like "make help". -help: - @$(SPHINXBUILD) -M help "$(SOURCEDIR)" "$(BUILDDIR)" $(SPHINXOPTS) $(O) - -.PHONY: help Makefile - -# Catch-all target: route all unknown targets to Sphinx using the new -# "make mode" option. $(O) is meant as a shortcut for $(SPHINXOPTS). -%: Makefile - @$(SPHINXBUILD) -M $@ "$(SOURCEDIR)" "$(BUILDDIR)" $(SPHINXOPTS) $(O) +# Minimal makefile for Sphinx documentation +# + +# You can set these variables from the command line. +SPHINXOPTS = +SPHINXBUILD = python -msphinx +SPHINXPROJ = antenna_intensity_modeler +SOURCEDIR = . +BUILDDIR = _build + +# Put it first so that "make" without argument is like "make help". +help: + @$(SPHINXBUILD) -M help "$(SOURCEDIR)" "$(BUILDDIR)" $(SPHINXOPTS) $(O) + +.PHONY: help Makefile + +# Catch-all target: route all unknown targets to Sphinx using the new +# "make mode" option. $(O) is meant as a shortcut for $(SPHINXOPTS). +%: Makefile + @$(SPHINXBUILD) -M $@ "$(SOURCEDIR)" "$(BUILDDIR)" $(SPHINXOPTS) $(O) diff --git a/docs/_build/html/.buildinfo b/docs/_build/html/.buildinfo index 3b657d3..4a3bb87 100644 --- a/docs/_build/html/.buildinfo +++ b/docs/_build/html/.buildinfo @@ -1,4 +1,4 @@ -# Sphinx build info version 1 -# This file hashes the configuration used when building these files. When it is not found, a full rebuild will be done. -config: 556abe7c721910f6245712bea2d89b0a -tags: 645f666f9bcd5a90fca523b33c5a78b7 +# Sphinx build info version 1 +# This file hashes the configuration used when building these files. When it is not found, a full rebuild will be done. +config: 556abe7c721910f6245712bea2d89b0a +tags: 645f666f9bcd5a90fca523b33c5a78b7 diff --git a/docs/_build/html/_modules/antenna_intensity_modeler/parabolic.html b/docs/_build/html/_modules/antenna_intensity_modeler/parabolic.html index bc523b4..4043d1f 100644 --- a/docs/_build/html/_modules/antenna_intensity_modeler/parabolic.html +++ b/docs/_build/html/_modules/antenna_intensity_modeler/parabolic.html @@ -1,321 +1,321 @@ - - - - - - - antenna_intensity_modeler.parabolic — antenna-intensity-modeler 0.1.1 documentation - - - - - - - - - - - - -
-
-
-
- -

Source code for antenna_intensity_modeler.parabolic

-# -*- coding: utf-8 -*-
-
-"""Main module."""
-
-import numpy as np
-import scipy as sp
-import scipy.integrate
-import scipy.special
-import matplotlib.pyplot as plt
-import pandas as pd
-
-# Units
-m = 1.0
-pi = np.pi
-rad = 1.0
-s = 1.0
-
-
-
[docs]def parameters(radius_meters, freq_mhz, power_watts, efficiency, side_lobe_ratio):
-    """Parameters for parabolic dish
-
-    Receives user input parameters for parabolic dish and
-    computes and returns all needed parameters for parabolic
-    functions.
-
-    :param radius_meters: antenna radius in meters.
-    :param freq_mhz: frequency in megahertz.
-    :param power_watts: output power of radio in watts.
-    :param efficiency: efficiency of antenna.
-    :param side_lobe_ratio: side lobe ratio of antenna.
-    :type radius_meters: float
-    :type freq_mhz: float
-    :type power_watts: float
-    :type efficiency: float
-    :type side_lobe_ratio: float
-    :returns: parameters needed for parabolic functions.
-    :rtype: tuple(float)
-    :Example:
-
-    >>> from antenna_intensity_modeler import parabolic
-    >>> params = parabolic.parameters(2.4, 8400., 400.0, 0.62, 20.0)
-    >>> params
-    (2.4, 8400., 400, 0.62, 20, 0.4872, 1290.24, 2.1134, 175.929)
-    """
-
-    """Constants"""
-    C = 3e8 * m / s
-
-    # Sidelobe Ratios (illummination)
-    # n = 0: slr = 17.57
-    # n = 1: slr = 25
-    # n = 2: slr = 30
-    # n = 3: slr = 35
-    # n = 4: slr = 40
-    # n = 5: slr = 45
-    HDICT = {
-        17.57: 0,
-        20: 0.4872,
-        25: 0.8899,
-        30: 1.1977,
-        35: 1.4708,
-        40: 1.7254,
-        45: 1.9681,
-        50: 2.2026
-    }
-    freq_hz = freq_mhz*1e6
-    DIAM = 2 * radius_meters
-    LAMDA = C / freq_hz
-    GAIN = 10 * np.log10(efficiency * (pi * DIAM / LAMDA)**2)
-    EIRP = power_watts * 10**(0.1 * GAIN)
-
-    """Properties"""
-    H = HDICT[side_lobe_ratio]
-    ffmin = 2 * DIAM**2 / LAMDA
-    ffpwrden = EIRP / (4 * pi * ffmin**2)
-    k = 2 * pi / LAMDA
-
-    return radius_meters, freq_mhz, power_watts, efficiency, side_lobe_ratio, H, ffmin, ffpwrden, k

-
-
-
[docs]def near_field_corrections(parameters, xbar):
-    """Near field corrections for parabolic dish.
-
-    Receives user input parameters and normalized off axis distance
-    for parabolic dish computes and returns plot of near field correction
-    factors.
-
-    :param parameters: parameters tuple created with parameters function
-    :param xbar: normalized off-axis distance
-    :type parameters: tuple(float)
-    :type xbar: float
-    :returns: dataframe
-    :rtype: pandas dataframe
-    :Example:
-
-    >>> from antenna_intensity_modeler import parabolic
-    >>> import matplotlib.pyplot as plt
-    >>> params = parabolic.parameters(2.4, 8.4e9, 400.0, 0.62, 20.0)
-    >>> xbar = 1.0
-    >>> table = parabolic.near_field_corrections(params, xbar)
-    >>> fig, ax = plt.subplots()
-    >>> ax.semilogx(table.delta, table.Pcorr)
-    >>> ax.set_xlim([0.01, 1.0])
-    >>> ax.grid(True, which="both")
-    >>> ax.minorticks_on()
-    >>> side_lobe_ratio = params[4]
-    >>> ax.set_title("Near Field Corrections xbar: %s , slr: %s" % (xbar, side_lobe_ratio))
-    >>> ax.set_xlabel("Normalized On Axis Distance")
-    >>> ax.set_ylabel("Normalized On Axis Power Density")
-    >>> fig.show()
-
-    .. image:: _static/nfcImage.png
-    """
-    radius, freq_mhz, power_watts, efficiency, side_lobe_ratio, H, ffmin, ffpwrden, k = parameters
-
-    # delta = np.linspace(0.01, 1.0, 1000)  # Normalized farfield distances
-    delta = np.logspace(-2, 0, 1000)
-    Ep = np.zeros(1000)
-    count = 0
-    xbarR = xbar * radius
-
-    for d in delta:
-        theta = np.arctan(xbarR / (d * ffmin))
-        u = k * radius * np.sin(theta)
-
-        def fun1(x): return (scipy.special.iv(0, pi * H * (1 - x**2))
-                             * scipy.special.jv(0, u * x)
-                             * np.cos(pi * x**2 / 8 / d)
-                             * x)
-        Ep1 = scipy.integrate.romberg(fun1, 0, 1)
-
-        def fun2(x): return (scipy.special.iv(0, pi * H * (1 - x**2))
-                             * scipy.special.jv(0, u * x)
-                             * np.sin(pi * x**2 / 8 / d)
-                             * x)
-        Ep2 = scipy.integrate.romberg(fun2, 0, 1)
-        Ep[count] = (1 + np.cos(theta)) / d * abs(Ep1 - 1j * Ep2)
-        count += 1
-
-    Pcorr = (Ep**2 / Ep[-1]**2) * ffpwrden
-
-    #fig, ax = plt.subplots()
-    #ax.semilogx(delta, Pcorr)
-    #ax.set_xlim([0.01, 1.0])
-    #ax.grid(True, which="both")
-    # ax.minorticks_on()
-    #ax.set_title("Near Field Corrections xbar: %s , slr: %s" % (xbar, side_lobe_ratio))
-    #ax.set_xlabel("Normalized On Axis Distance")
-    #ax.set_ylabel("Normalized On Axis Power Density")
-    # return fig, ax
-    return pd.DataFrame(dict(delta=delta, Pcorr=Pcorr))

-
-
-
[docs]def hazard_plot(parameters, limit, density=1000, xbar_max=1, gain_boost=None):
-    """Hazard plot for parabolic dish.
-
-    Receives user input parameters and hazard limit
-    for parabolic dish. Computes and returns hazard distance
-    plot.
-
-    :param parameters: parameters tuple created with parameters function
-    :param limit: power density limit
-    :param density: (optional) number of points for plot, if none density=1000
-    :param xbar_max: (optional) maximum value for xbar, if none is given xbar_max=1
-    :param gain_boost: (optional) additional numerical gain to add
-    :type parameters: tuple(float)
-    :type limit: float
-    :type xbar_max: int
-    :type gain_boost: float
-    :returns: figure and axes for hazard plot
-    :rtype: (figure, axes)
-    :Example:
-
-    >>> from antenna_intensity_modeler import parabolic
-    >>> params = parabolic.parameters(2.4, 8.4e9, 400.0, 0.62, 20.0)
-    >>> fig, ax = hazard_plot(params, 10.0)
-    """
-    radius_meters, freq_mhz, power_watts, efficiency, side_lobe_ratio, H, ffmin, ffpwrden, k = parameters
-    n = density
-    delta = np.linspace(1.0, 0.01, n)  # Normalized farfield distances
-    xbarArray = np.ones(n)
-    Ep = np.zeros(n)
-
-    # xbars = np.linspace(0, 1, 10)
-    xbars = np.arange(0, xbar_max + 0.1, 0.1)
-
-    if gain_boost is not None:
-        ffpwrden = gain_boost*ffpwrden
-
-    last = 999
-    count = 0
-    for d in delta:
-        for xbar in xbars:
-            xbarR = xbar * radius_meters
-            theta = np.arctan(xbarR / (d * ffmin))
-            u = k * radius_meters * np.sin(theta)
-
-            def fun1(x): return (sp.special.iv(0, pi * H * (1 - x**2))
-                                 * sp.special.jv(0, u * x)
-                                 * np.cos(pi * x**2 / 8 / d)
-                                 * x)
-            Ep1 = sp.integrate.romberg(fun1, 0, 1)
-
-            def fun2(x): return (sp.special.iv(0, pi * H * (1 - x**2))
-                                 * sp.special.jv(0, u * x)
-                                 * np.sin(pi * x**2 / 8 / d)
-                                 * x)
-            Ep2 = sp.integrate.romberg(fun2, 0, 1)
-            Ep[count] = (1 + np.cos(theta)) / d * abs(Ep1 - 1j * Ep2)
-            power = ffpwrden * (Ep[count]**2 / Ep[0]**2)
-            if power - limit < 0:
-                if abs(power - limit) < last:
-                    xbarArray[count] = xbar
-                    last = power - limit
-        last = 999
-        count += 1
-
-    fig, ax = plt.subplots()
-    ax.plot(delta[::-1] * ffmin, xbarArray[::-1] * radius_meters,
-            delta[::-1] * ffmin, xbarArray[::-1] * -radius_meters)
-    ax.grid(True, which='both')
-    ax.minorticks_on()
-    ax.set_title('Hazard Plot with limit: %s w/m^2' % limit)
-    ax.set_xlabel('Distance From Antenna(m)')
-    ax.set_ylabel('Off Axis Distance (m)')
-    return fig, ax

-
-
-
-
- -
-
-
- -
-
- - - + + + + + + + antenna_intensity_modeler.parabolic — antenna-intensity-modeler 0.1.1 documentation + + + + + + + + + + + + +
+
+
+
+ +

Source code for antenna_intensity_modeler.parabolic

+# -*- coding: utf-8 -*-
+
+"""Main module."""
+
+import numpy as np
+import scipy as sp
+import scipy.integrate
+import scipy.special
+import matplotlib.pyplot as plt
+import pandas as pd
+
+# Units
+m = 1.0
+pi = np.pi
+rad = 1.0
+s = 1.0
+
+
+
[docs]def parameters(radius_meters, freq_mhz, power_watts, efficiency, side_lobe_ratio):
+    """Parameters for parabolic dish
+
+    Receives user input parameters for parabolic dish and
+    computes and returns all needed parameters for parabolic
+    functions.
+
+    :param radius_meters: antenna radius in meters.
+    :param freq_mhz: frequency in megahertz.
+    :param power_watts: output power of radio in watts.
+    :param efficiency: efficiency of antenna.
+    :param side_lobe_ratio: side lobe ratio of antenna.
+    :type radius_meters: float
+    :type freq_mhz: float
+    :type power_watts: float
+    :type efficiency: float
+    :type side_lobe_ratio: float
+    :returns: parameters needed for parabolic functions.
+    :rtype: tuple(float)
+    :Example:
+
+    >>> from antenna_intensity_modeler import parabolic
+    >>> params = parabolic.parameters(2.4, 8400., 400.0, 0.62, 20.0)
+    >>> params
+    (2.4, 8400., 400, 0.62, 20, 0.4872, 1290.24, 2.1134, 175.929)
+    """
+
+    """Constants"""
+    C = 3e8 * m / s
+
+    # Sidelobe Ratios (illummination)
+    # n = 0: slr = 17.57
+    # n = 1: slr = 25
+    # n = 2: slr = 30
+    # n = 3: slr = 35
+    # n = 4: slr = 40
+    # n = 5: slr = 45
+    HDICT = {
+        17.57: 0,
+        20: 0.4872,
+        25: 0.8899,
+        30: 1.1977,
+        35: 1.4708,
+        40: 1.7254,
+        45: 1.9681,
+        50: 2.2026
+    }
+    freq_hz = freq_mhz*1e6
+    DIAM = 2 * radius_meters
+    LAMDA = C / freq_hz
+    GAIN = 10 * np.log10(efficiency * (pi * DIAM / LAMDA)**2)
+    EIRP = power_watts * 10**(0.1 * GAIN)
+
+    """Properties"""
+    H = HDICT[side_lobe_ratio]
+    ffmin = 2 * DIAM**2 / LAMDA
+    ffpwrden = EIRP / (4 * pi * ffmin**2)
+    k = 2 * pi / LAMDA
+
+    return radius_meters, freq_mhz, power_watts, efficiency, side_lobe_ratio, H, ffmin, ffpwrden, k

+
+
+
[docs]def near_field_corrections(parameters, xbar):
+    """Near field corrections for parabolic dish.
+
+    Receives user input parameters and normalized off axis distance
+    for parabolic dish computes and returns plot of near field correction
+    factors.
+
+    :param parameters: parameters tuple created with parameters function
+    :param xbar: normalized off-axis distance
+    :type parameters: tuple(float)
+    :type xbar: float
+    :returns: dataframe
+    :rtype: pandas dataframe
+    :Example:
+
+    >>> from antenna_intensity_modeler import parabolic
+    >>> import matplotlib.pyplot as plt
+    >>> params = parabolic.parameters(2.4, 8.4e9, 400.0, 0.62, 20.0)
+    >>> xbar = 1.0
+    >>> table = parabolic.near_field_corrections(params, xbar)
+    >>> fig, ax = plt.subplots()
+    >>> ax.semilogx(table.delta, table.Pcorr)
+    >>> ax.set_xlim([0.01, 1.0])
+    >>> ax.grid(True, which="both")
+    >>> ax.minorticks_on()
+    >>> side_lobe_ratio = params[4]
+    >>> ax.set_title("Near Field Corrections xbar: %s , slr: %s" % (xbar, side_lobe_ratio))
+    >>> ax.set_xlabel("Normalized On Axis Distance")
+    >>> ax.set_ylabel("Normalized On Axis Power Density")
+    >>> fig.show()
+
+    .. image:: _static/nfcImage.png
+    """
+    radius, freq_mhz, power_watts, efficiency, side_lobe_ratio, H, ffmin, ffpwrden, k = parameters
+
+    # delta = np.linspace(0.01, 1.0, 1000)  # Normalized farfield distances
+    delta = np.logspace(-2, 0, 1000)
+    Ep = np.zeros(1000)
+    count = 0
+    xbarR = xbar * radius
+
+    for d in delta:
+        theta = np.arctan(xbarR / (d * ffmin))
+        u = k * radius * np.sin(theta)
+
+        def fun1(x): return (scipy.special.iv(0, pi * H * (1 - x**2))
+                             * scipy.special.jv(0, u * x)
+                             * np.cos(pi * x**2 / 8 / d)
+                             * x)
+        Ep1 = scipy.integrate.romberg(fun1, 0, 1)
+
+        def fun2(x): return (scipy.special.iv(0, pi * H * (1 - x**2))
+                             * scipy.special.jv(0, u * x)
+                             * np.sin(pi * x**2 / 8 / d)
+                             * x)
+        Ep2 = scipy.integrate.romberg(fun2, 0, 1)
+        Ep[count] = (1 + np.cos(theta)) / d * abs(Ep1 - 1j * Ep2)
+        count += 1
+
+    Pcorr = (Ep**2 / Ep[-1]**2) * ffpwrden
+
+    #fig, ax = plt.subplots()
+    #ax.semilogx(delta, Pcorr)
+    #ax.set_xlim([0.01, 1.0])
+    #ax.grid(True, which="both")
+    # ax.minorticks_on()
+    #ax.set_title("Near Field Corrections xbar: %s , slr: %s" % (xbar, side_lobe_ratio))
+    #ax.set_xlabel("Normalized On Axis Distance")
+    #ax.set_ylabel("Normalized On Axis Power Density")
+    # return fig, ax
+    return pd.DataFrame(dict(delta=delta, Pcorr=Pcorr))

+
+
+
[docs]def hazard_plot(parameters, limit, density=1000, xbar_max=1, gain_boost=None):
+    """Hazard plot for parabolic dish.
+
+    Receives user input parameters and hazard limit
+    for parabolic dish. Computes and returns hazard distance
+    plot.
+
+    :param parameters: parameters tuple created with parameters function
+    :param limit: power density limit
+    :param density: (optional) number of points for plot, if none density=1000
+    :param xbar_max: (optional) maximum value for xbar, if none is given xbar_max=1
+    :param gain_boost: (optional) additional numerical gain to add
+    :type parameters: tuple(float)
+    :type limit: float
+    :type xbar_max: int
+    :type gain_boost: float
+    :returns: figure and axes for hazard plot
+    :rtype: (figure, axes)
+    :Example:
+
+    >>> from antenna_intensity_modeler import parabolic
+    >>> params = parabolic.parameters(2.4, 8.4e9, 400.0, 0.62, 20.0)
+    >>> fig, ax = hazard_plot(params, 10.0)
+    """
+    radius_meters, freq_mhz, power_watts, efficiency, side_lobe_ratio, H, ffmin, ffpwrden, k = parameters
+    n = density
+    delta = np.linspace(1.0, 0.01, n)  # Normalized farfield distances
+    xbarArray = np.ones(n)
+    Ep = np.zeros(n)
+
+    # xbars = np.linspace(0, 1, 10)
+    xbars = np.arange(0, xbar_max + 0.1, 0.1)
+
+    if gain_boost is not None:
+        ffpwrden = gain_boost*ffpwrden
+
+    last = 999
+    count = 0
+    for d in delta:
+        for xbar in xbars:
+            xbarR = xbar * radius_meters
+            theta = np.arctan(xbarR / (d * ffmin))
+            u = k * radius_meters * np.sin(theta)
+
+            def fun1(x): return (sp.special.iv(0, pi * H * (1 - x**2))
+                                 * sp.special.jv(0, u * x)
+                                 * np.cos(pi * x**2 / 8 / d)
+                                 * x)
+            Ep1 = sp.integrate.romberg(fun1, 0, 1)
+
+            def fun2(x): return (sp.special.iv(0, pi * H * (1 - x**2))
+                                 * sp.special.jv(0, u * x)
+                                 * np.sin(pi * x**2 / 8 / d)
+                                 * x)
+            Ep2 = sp.integrate.romberg(fun2, 0, 1)
+            Ep[count] = (1 + np.cos(theta)) / d * abs(Ep1 - 1j * Ep2)
+            power = ffpwrden * (Ep[count]**2 / Ep[0]**2)
+            if power - limit < 0:
+                if abs(power - limit) < last:
+                    xbarArray[count] = xbar
+                    last = power - limit
+        last = 999
+        count += 1
+
+    fig, ax = plt.subplots()
+    ax.plot(delta[::-1] * ffmin, xbarArray[::-1] * radius_meters,
+            delta[::-1] * ffmin, xbarArray[::-1] * -radius_meters)
+    ax.grid(True, which='both')
+    ax.minorticks_on()
+    ax.set_title('Hazard Plot with limit: %s w/m^2' % limit)
+    ax.set_xlabel('Distance From Antenna(m)')
+    ax.set_ylabel('Off Axis Distance (m)')
+    return fig, ax

+
+
+
+
+ +
+
+
+ +
+
+ + + \ No newline at end of file diff --git a/docs/_build/html/_modules/index.html b/docs/_build/html/_modules/index.html index 39af323..f56a9c0 100644 --- a/docs/_build/html/_modules/index.html +++ b/docs/_build/html/_modules/index.html @@ -1,76 +1,76 @@ - - - - - - - Overview: module code — antenna-intensity-modeler 0.1.1 documentation - - - - - - - - - - - - -
-
-
-
- -

All modules for which code is available

- - -
-
-
- -
-
- - - + + + + + + + Overview: module code — antenna-intensity-modeler 0.1.1 documentation + + + + + + + + + + + + +
+
+
+
+ +

All modules for which code is available

+ + +
+
+
+ +
+
+ + + \ No newline at end of file diff --git a/docs/_build/html/_sources/antenna_intensity_modeler.rst.txt b/docs/_build/html/_sources/antenna_intensity_modeler.rst.txt index 57ada4d..21b9e21 100644 --- a/docs/_build/html/_sources/antenna_intensity_modeler.rst.txt +++ b/docs/_build/html/_sources/antenna_intensity_modeler.rst.txt @@ -1,30 +1,30 @@ -antenna\_intensity\_modeler package -=================================== - -Submodules ----------- - -antenna\_intensity\_modeler.cli module --------------------------------------- - -.. automodule:: antenna_intensity_modeler.cli - :members: - :undoc-members: - :show-inheritance: - -antenna\_intensity\_modeler.parabolic module --------------------------------------------- - -.. automodule:: antenna_intensity_modeler.parabolic - :members: - :undoc-members: - :show-inheritance: - - -Module contents ---------------- - -.. automodule:: antenna_intensity_modeler - :members: - :undoc-members: - :show-inheritance: +antenna\_intensity\_modeler package +=================================== + +Submodules +---------- + +antenna\_intensity\_modeler.cli module +-------------------------------------- + +.. automodule:: antenna_intensity_modeler.cli + :members: + :undoc-members: + :show-inheritance: + +antenna\_intensity\_modeler.parabolic module +-------------------------------------------- + +.. automodule:: antenna_intensity_modeler.parabolic + :members: + :undoc-members: + :show-inheritance: + + +Module contents +--------------- + +.. automodule:: antenna_intensity_modeler + :members: + :undoc-members: + :show-inheritance: diff --git a/docs/_build/html/_sources/authors.rst.txt b/docs/_build/html/_sources/authors.rst.txt index e122f91..426bac5 100644 --- a/docs/_build/html/_sources/authors.rst.txt +++ b/docs/_build/html/_sources/authors.rst.txt @@ -1 +1 @@ -.. include:: ../AUTHORS.rst +.. include:: ../AUTHORS.rst diff --git a/docs/_build/html/_sources/contributing.rst.txt b/docs/_build/html/_sources/contributing.rst.txt index e582053..819f45e 100644 --- a/docs/_build/html/_sources/contributing.rst.txt +++ b/docs/_build/html/_sources/contributing.rst.txt @@ -1 +1 @@ -.. include:: ../CONTRIBUTING.rst +.. include:: ../CONTRIBUTING.rst diff --git a/docs/_build/html/_sources/history.rst.txt b/docs/_build/html/_sources/history.rst.txt index 2506499..e4e52cc 100644 --- a/docs/_build/html/_sources/history.rst.txt +++ b/docs/_build/html/_sources/history.rst.txt @@ -1 +1 @@ -.. include:: ../HISTORY.rst +.. include:: ../HISTORY.rst diff --git a/docs/_build/html/_sources/index.rst.txt b/docs/_build/html/_sources/index.rst.txt index 52b4541..2593765 100644 --- a/docs/_build/html/_sources/index.rst.txt +++ b/docs/_build/html/_sources/index.rst.txt @@ -1,20 +1,20 @@ -Welcome to antenna-intensity-modeler's documentation! -====================================== - -.. toctree:: - :maxdepth: 2 - :caption: Contents: - - readme - installation - usage - modules - contributing - authors - history - -Indices and tables -================== -* :ref:`genindex` -* :ref:`modindex` -* :ref:`search` +Welcome to antenna-intensity-modeler's documentation! +====================================== + +.. toctree:: + :maxdepth: 2 + :caption: Contents: + + readme + installation + usage + modules + contributing + authors + history + +Indices and tables +================== +* :ref:`genindex` +* :ref:`modindex` +* :ref:`search` diff --git a/docs/_build/html/_sources/installation.rst.txt b/docs/_build/html/_sources/installation.rst.txt index 9442563..2af720b 100644 --- a/docs/_build/html/_sources/installation.rst.txt +++ b/docs/_build/html/_sources/installation.rst.txt @@ -1,51 +1,51 @@ -.. highlight:: shell - -============ -Installation -============ - - -Stable release --------------- - -To install antenna-intensity-modeler, run this command in your terminal: - -.. code-block:: console - - $ pip install antenna-intensity-modeler - -This is the preferred method to install antenna-intensity-modeler, as it will always install the most recent stable release. - -If you don't have `pip`_ installed, this `Python installation guide`_ can guide -you through the process. - -.. _pip: https://pip.pypa.io -.. _Python installation guide: http://docs.python-guide.org/en/latest/starting/installation/ - - -From sources ------------- - -The sources for antenna-intensity-modeler can be downloaded from the `Github repo`_. - -You can either clone the public repository: - -.. code-block:: console - - $ git clone git://github.com/wboxx1/antenna-intensity-modeler - -Or download the `tarball`_: - -.. code-block:: console - - $ curl -OL https://github.com/wboxx1/antenna-intensity-modeler/tarball/master - -Once you have a copy of the source, you can install into poetry virtual environment with: - -.. code-block:: console - - $ poetry install - - -.. _Github repo: https://github.com/wboxx1/antenna-intensity-modeler -.. _tarball: https://github.com/wboxx1/antenna-intensity-modeler/tarball/master +.. highlight:: shell + +============ +Installation +============ + + +Stable release +-------------- + +To install antenna-intensity-modeler, run this command in your terminal: + +.. code-block:: console + + $ pip install antenna-intensity-modeler + +This is the preferred method to install antenna-intensity-modeler, as it will always install the most recent stable release. + +If you don't have `pip`_ installed, this `Python installation guide`_ can guide +you through the process. + +.. _pip: https://pip.pypa.io +.. _Python installation guide: http://docs.python-guide.org/en/latest/starting/installation/ + + +From sources +------------ + +The sources for antenna-intensity-modeler can be downloaded from the `Github repo`_. + +You can either clone the public repository: + +.. code-block:: console + + $ git clone git://github.com/wboxx1/antenna-intensity-modeler + +Or download the `tarball`_: + +.. code-block:: console + + $ curl -OL https://github.com/wboxx1/antenna-intensity-modeler/tarball/master + +Once you have a copy of the source, you can install into poetry virtual environment with: + +.. code-block:: console + + $ poetry install + + +.. _Github repo: https://github.com/wboxx1/antenna-intensity-modeler +.. _tarball: https://github.com/wboxx1/antenna-intensity-modeler/tarball/master diff --git a/docs/_build/html/_sources/modules.rst.txt b/docs/_build/html/_sources/modules.rst.txt index 04ddd41..219e062 100644 --- a/docs/_build/html/_sources/modules.rst.txt +++ b/docs/_build/html/_sources/modules.rst.txt @@ -1,7 +1,7 @@ -antenna_intensity_modeler -========================= - -.. toctree:: - :maxdepth: 4 - - antenna_intensity_modeler +antenna_intensity_modeler +========================= + +.. toctree:: + :maxdepth: 4 + + antenna_intensity_modeler diff --git a/docs/_build/html/_sources/readme.rst.txt b/docs/_build/html/_sources/readme.rst.txt index 72a3355..de17838 100644 --- a/docs/_build/html/_sources/readme.rst.txt +++ b/docs/_build/html/_sources/readme.rst.txt @@ -1 +1 @@ -.. include:: ../README.rst +.. include:: ../README.rst diff --git a/docs/_build/html/_sources/usage.rst.txt b/docs/_build/html/_sources/usage.rst.txt index fb5a2b4..8c97416 100644 --- a/docs/_build/html/_sources/usage.rst.txt +++ b/docs/_build/html/_sources/usage.rst.txt @@ -1,7 +1,7 @@ -===== -Usage -===== - -To use antenna-intensity-modeler in a project:: - - import antenna_intensity_modeler +===== +Usage +===== + +To use antenna-intensity-modeler in a project:: + + import antenna_intensity_modeler diff --git a/docs/_build/html/_static/basic.css b/docs/_build/html/_static/basic.css index ea6972d..e732ca1 100644 --- a/docs/_build/html/_static/basic.css +++ b/docs/_build/html/_static/basic.css @@ -1,764 +1,764 @@ -/* - * basic.css - * ~~~~~~~~~ - * - * Sphinx stylesheet -- basic theme. - * - * :copyright: Copyright 2007-2019 by the Sphinx team, see AUTHORS. - * :license: BSD, see LICENSE for details. - * - */ - -/* -- main layout ----------------------------------------------------------- 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issues on Chrome browsers */ -} - -span.pre { - -moz-hyphens: none; - -ms-hyphens: none; - -webkit-hyphens: none; - hyphens: none; -} - -td.linenos pre { - padding: 5px 0px; - border: 0; - background-color: transparent; - color: #aaa; -} - -table.highlighttable { - margin-left: 0.5em; -} - -table.highlighttable td { - padding: 0 0.5em 0 0.5em; -} - -div.code-block-caption { - padding: 2px 5px; - font-size: small; -} - -div.code-block-caption code { - background-color: transparent; -} - -div.code-block-caption + div > div.highlight > pre { - margin-top: 0; -} - -div.code-block-caption span.caption-number { - padding: 0.1em 0.3em; - font-style: italic; -} - -div.code-block-caption span.caption-text { -} - -div.literal-block-wrapper { - padding: 1em 1em 0; -} - -div.literal-block-wrapper div.highlight { - margin: 0; -} - -code.descname { - background-color: transparent; - font-weight: bold; - font-size: 1.2em; -} - -code.descclassname { - background-color: transparent; -} - -code.xref, a code { - background-color: transparent; - font-weight: bold; -} - -h1 code, h2 code, h3 code, h4 code, h5 code, h6 code { - background-color: transparent; -} - -.viewcode-link { - float: right; -} - -.viewcode-back { - float: right; - font-family: sans-serif; -} - -div.viewcode-block:target { - margin: -1px -10px; - padding: 0 10px; -} - -/* -- math display ---------------------------------------------------------- */ - -img.math { - vertical-align: middle; -} - -div.body div.math p { - text-align: center; -} - -span.eqno { - float: right; -} - -span.eqno a.headerlink { - position: relative; - left: 0px; - z-index: 1; -} - -div.math:hover a.headerlink { - visibility: visible; -} - -/* -- printout stylesheet --------------------------------------------------- */ - -@media print { - div.document, - div.documentwrapper, - div.bodywrapper { - margin: 0 !important; - width: 100%; - } - - div.sphinxsidebar, - div.related, - div.footer, - #top-link { - display: none; - } +/* + * basic.css + * ~~~~~~~~~ + * + * Sphinx stylesheet -- basic theme. + * + * :copyright: Copyright 2007-2019 by the Sphinx team, see AUTHORS. + * :license: BSD, see LICENSE for details. + * + */ + +/* -- main layout ----------------------------------------------------------- */ + +div.clearer { + clear: both; +} + +/* -- relbar ---------------------------------------------------------------- */ + +div.related { + width: 100%; + font-size: 90%; +} + +div.related h3 { + display: none; +} + +div.related ul { + margin: 0; + padding: 0 0 0 10px; + list-style: none; +} + +div.related li { + display: inline; +} + +div.related li.right { + float: right; + margin-right: 5px; +} + +/* -- sidebar --------------------------------------------------------------- */ + +div.sphinxsidebarwrapper { + padding: 10px 5px 0 10px; +} + +div.sphinxsidebar { + float: left; + width: 230px; + margin-left: -100%; + font-size: 90%; + word-wrap: break-word; + overflow-wrap : break-word; +} + +div.sphinxsidebar ul { + list-style: none; +} + +div.sphinxsidebar ul ul, +div.sphinxsidebar ul.want-points { + margin-left: 20px; + list-style: square; +} + +div.sphinxsidebar ul ul { + margin-top: 0; + margin-bottom: 0; +} + +div.sphinxsidebar form { + margin-top: 10px; +} + +div.sphinxsidebar input { + border: 1px solid #98dbcc; + font-family: sans-serif; + font-size: 1em; +} + +div.sphinxsidebar #searchbox form.search { + overflow: hidden; +} + +div.sphinxsidebar #searchbox input[type="text"] { + float: left; + width: 80%; + padding: 0.25em; + box-sizing: border-box; +} + +div.sphinxsidebar #searchbox input[type="submit"] { + float: left; + width: 20%; + border-left: none; + padding: 0.25em; + box-sizing: border-box; +} + + +img { + border: 0; + max-width: 100%; +} + +/* -- search page ----------------------------------------------------------- */ + +ul.search { + margin: 10px 0 0 20px; + padding: 0; +} + +ul.search li { + padding: 5px 0 5px 20px; + background-image: url(file.png); + background-repeat: no-repeat; + background-position: 0 7px; +} + +ul.search li a { + font-weight: bold; +} + +ul.search li div.context { + color: #888; + margin: 2px 0 0 30px; + text-align: left; +} + +ul.keywordmatches li.goodmatch a { + font-weight: bold; +} + +/* -- index page ------------------------------------------------------------ */ + +table.contentstable { + width: 90%; + margin-left: auto; + margin-right: auto; +} + +table.contentstable p.biglink { + line-height: 150%; +} + +a.biglink { + font-size: 1.3em; +} + +span.linkdescr { + font-style: italic; + padding-top: 5px; + font-size: 90%; +} + +/* -- general index --------------------------------------------------------- */ + +table.indextable { + width: 100%; +} + +table.indextable td { + text-align: left; + vertical-align: top; +} + +table.indextable ul { + margin-top: 0; + margin-bottom: 0; + list-style-type: none; +} + +table.indextable > tbody > tr > td > ul { + padding-left: 0em; +} + +table.indextable tr.pcap { + height: 10px; +} + +table.indextable tr.cap { + margin-top: 10px; + background-color: #f2f2f2; +} + +img.toggler { + margin-right: 3px; + margin-top: 3px; + cursor: pointer; +} + +div.modindex-jumpbox { + border-top: 1px solid #ddd; + border-bottom: 1px solid #ddd; + margin: 1em 0 1em 0; + padding: 0.4em; +} + +div.genindex-jumpbox { + border-top: 1px solid #ddd; + border-bottom: 1px solid #ddd; + margin: 1em 0 1em 0; + padding: 0.4em; +} + +/* -- domain module index --------------------------------------------------- */ + +table.modindextable td { + padding: 2px; + border-collapse: collapse; +} + +/* -- general body styles --------------------------------------------------- */ + +div.body { + min-width: 450px; + max-width: 800px; +} + +div.body p, div.body dd, div.body li, div.body blockquote { + -moz-hyphens: auto; + -ms-hyphens: auto; + -webkit-hyphens: auto; + hyphens: auto; +} + +a.headerlink { + visibility: hidden; +} + +a.brackets:before, +span.brackets > a:before{ + content: "["; +} + +a.brackets:after, +span.brackets > a:after { + content: "]"; +} + +h1:hover > a.headerlink, +h2:hover > a.headerlink, +h3:hover > a.headerlink, +h4:hover > a.headerlink, +h5:hover > a.headerlink, +h6:hover > a.headerlink, +dt:hover > a.headerlink, +caption:hover > a.headerlink, +p.caption:hover > a.headerlink, +div.code-block-caption:hover > a.headerlink { + visibility: visible; +} + +div.body p.caption { + text-align: inherit; +} + +div.body td { + text-align: left; +} + +.first { + margin-top: 0 !important; +} + +p.rubric { + margin-top: 30px; + font-weight: bold; +} + +img.align-left, .figure.align-left, object.align-left { + clear: left; + float: left; + margin-right: 1em; +} + +img.align-right, .figure.align-right, object.align-right { + clear: right; + float: right; + margin-left: 1em; +} + +img.align-center, .figure.align-center, object.align-center { + display: block; + margin-left: auto; + margin-right: auto; +} + +img.align-default, .figure.align-default { + display: block; + margin-left: auto; + margin-right: auto; +} + +.align-left { + text-align: left; +} + +.align-center { + text-align: center; +} + +.align-default { + text-align: center; +} + +.align-right { + text-align: right; +} + +/* -- sidebars -------------------------------------------------------------- */ + +div.sidebar { + margin: 0 0 0.5em 1em; + border: 1px solid #ddb; + padding: 7px 7px 0 7px; + background-color: #ffe; + width: 40%; + float: right; +} + +p.sidebar-title { + font-weight: bold; +} + +/* -- topics ---------------------------------------------------------------- */ + +div.topic { + border: 1px solid #ccc; + padding: 7px 7px 0 7px; + margin: 10px 0 10px 0; +} + +p.topic-title { + font-size: 1.1em; + font-weight: bold; + margin-top: 10px; +} + +/* -- admonitions ----------------------------------------------------------- */ + +div.admonition { + margin-top: 10px; + margin-bottom: 10px; + padding: 7px; +} + +div.admonition dt { + font-weight: bold; +} + +div.admonition dl { + margin-bottom: 0; +} + +p.admonition-title { + margin: 0px 10px 5px 0px; + font-weight: bold; +} + +div.body p.centered { + text-align: center; + margin-top: 25px; +} + +/* -- tables ---------------------------------------------------------------- */ + +table.docutils { + border: 0; + border-collapse: collapse; +} + +table.align-center { + margin-left: auto; + margin-right: auto; +} + +table.align-default { + margin-left: auto; + margin-right: auto; +} + +table caption span.caption-number { + font-style: italic; +} + +table caption span.caption-text { +} + +table.docutils td, table.docutils th { + padding: 1px 8px 1px 5px; + border-top: 0; + border-left: 0; + border-right: 0; + border-bottom: 1px solid #aaa; +} + +table.footnote td, table.footnote th { + border: 0 !important; +} + +th { + text-align: left; + padding-right: 5px; +} + +table.citation { + border-left: solid 1px gray; + margin-left: 1px; +} + +table.citation td { + border-bottom: none; +} + +th > p:first-child, +td > p:first-child { + margin-top: 0px; +} + +th > p:last-child, +td > p:last-child { + margin-bottom: 0px; +} + +/* -- figures --------------------------------------------------------------- */ + +div.figure { + margin: 0.5em; + padding: 0.5em; +} + +div.figure p.caption { + padding: 0.3em; +} + +div.figure p.caption span.caption-number { + font-style: italic; +} + +div.figure p.caption span.caption-text { +} + +/* -- field list styles ----------------------------------------------------- */ + +table.field-list td, table.field-list th { + border: 0 !important; +} + +.field-list ul { + margin: 0; + padding-left: 1em; +} + +.field-list p { + margin: 0; +} + +.field-name { + -moz-hyphens: manual; + -ms-hyphens: manual; + -webkit-hyphens: manual; + hyphens: manual; +} + +/* -- hlist styles ---------------------------------------------------------- */ + +table.hlist td { + vertical-align: top; +} + + +/* -- other body styles ----------------------------------------------------- */ + +ol.arabic { + list-style: decimal; +} + +ol.loweralpha { + list-style: lower-alpha; +} + +ol.upperalpha { + list-style: upper-alpha; +} + +ol.lowerroman { + list-style: lower-roman; +} + +ol.upperroman { + list-style: upper-roman; +} + +li > p:first-child { + margin-top: 0px; +} + +li > p:last-child { + margin-bottom: 0px; +} + +dl.footnote > dt, +dl.citation > dt { + float: left; +} + +dl.footnote > dd, +dl.citation > dd { + margin-bottom: 0em; +} + +dl.footnote > dd:after, +dl.citation > dd:after { + content: ""; + clear: both; +} + +dl.field-list { + display: grid; + grid-template-columns: fit-content(30%) auto; +} + +dl.field-list > dt { + font-weight: bold; + word-break: break-word; + padding-left: 0.5em; + padding-right: 5px; +} + +dl.field-list > dt:after { + content: ":"; +} + +dl.field-list > dd { + padding-left: 0.5em; + margin-top: 0em; + margin-left: 0em; + margin-bottom: 0em; +} + +dl { + margin-bottom: 15px; +} + +dd > p:first-child { + margin-top: 0px; +} + +dd ul, dd table { + margin-bottom: 10px; +} + +dd { + margin-top: 3px; + margin-bottom: 10px; + margin-left: 30px; +} + +dt:target, span.highlighted { + background-color: #fbe54e; +} + +rect.highlighted { + fill: #fbe54e; +} + +dl.glossary dt { + font-weight: bold; + font-size: 1.1em; +} + +.optional { + font-size: 1.3em; +} + +.sig-paren { + font-size: larger; +} + +.versionmodified { + font-style: italic; +} + +.system-message { + background-color: #fda; + padding: 5px; + border: 3px solid red; +} + +.footnote:target { + background-color: #ffa; +} + +.line-block { + display: block; + margin-top: 1em; + margin-bottom: 1em; +} + +.line-block .line-block { + margin-top: 0; + margin-bottom: 0; + margin-left: 1.5em; +} + +.guilabel, .menuselection { + font-family: sans-serif; +} + +.accelerator { + text-decoration: underline; +} + +.classifier { + font-style: oblique; +} + +.classifier:before { + font-style: normal; + margin: 0.5em; + content: ":"; +} + +abbr, acronym { + border-bottom: dotted 1px; + cursor: help; +} + +/* -- code displays --------------------------------------------------------- */ + +pre { + overflow: auto; + overflow-y: hidden; /* fixes display issues on Chrome browsers */ +} + +span.pre { + -moz-hyphens: none; + -ms-hyphens: none; + -webkit-hyphens: none; + hyphens: none; +} + +td.linenos pre { + padding: 5px 0px; + border: 0; + background-color: transparent; + color: #aaa; +} + +table.highlighttable { + margin-left: 0.5em; +} + +table.highlighttable td { + padding: 0 0.5em 0 0.5em; +} + +div.code-block-caption { + padding: 2px 5px; + font-size: small; +} + +div.code-block-caption code { + background-color: transparent; +} + +div.code-block-caption + div > div.highlight > pre { + margin-top: 0; +} + +div.code-block-caption span.caption-number { + padding: 0.1em 0.3em; + font-style: italic; +} + +div.code-block-caption span.caption-text { +} + +div.literal-block-wrapper { + padding: 1em 1em 0; +} + +div.literal-block-wrapper div.highlight { + margin: 0; +} + +code.descname { + background-color: transparent; + font-weight: bold; + font-size: 1.2em; +} + +code.descclassname { + background-color: transparent; +} + +code.xref, a code { + background-color: transparent; + font-weight: bold; +} + +h1 code, h2 code, h3 code, h4 code, h5 code, h6 code { + background-color: transparent; +} + +.viewcode-link { + float: right; +} + +.viewcode-back { + float: right; + font-family: sans-serif; +} + +div.viewcode-block:target { + margin: -1px -10px; + padding: 0 10px; +} + +/* -- math display ---------------------------------------------------------- */ + +img.math { + vertical-align: middle; +} + +div.body div.math p { + text-align: center; +} + +span.eqno { + float: right; +} + +span.eqno a.headerlink { + position: relative; + left: 0px; + z-index: 1; +} + +div.math:hover a.headerlink { + visibility: visible; +} + +/* -- printout stylesheet --------------------------------------------------- */ + +@media print { + div.document, + div.documentwrapper, + div.bodywrapper { + margin: 0 !important; + width: 100%; + } + + div.sphinxsidebar, + div.related, + div.footer, + #top-link { + display: none; + } } \ No newline at end of file diff --git a/docs/_build/html/_static/doctools.js b/docs/_build/html/_static/doctools.js index b33f87f..867c35b 100644 --- a/docs/_build/html/_static/doctools.js +++ b/docs/_build/html/_static/doctools.js @@ -1,314 +1,314 @@ -/* - * doctools.js - * ~~~~~~~~~~~ - * - * Sphinx JavaScript utilities for all documentation. - * - * :copyright: Copyright 2007-2019 by the Sphinx team, see AUTHORS. - * :license: BSD, see LICENSE for details. - * - */ - -/** - * select a different prefix for underscore - */ -$u = _.noConflict(); - -/** - * make the code below compatible with browsers without - * an installed firebug like debugger -if (!window.console || !console.firebug) { - var names = ["log", "debug", "info", "warn", "error", "assert", "dir", - "dirxml", "group", "groupEnd", "time", "timeEnd", "count", "trace", - "profile", "profileEnd"]; - window.console = {}; - for (var i = 0; i < names.length; ++i) - window.console[names[i]] = function() {}; -} - */ - -/** - * small helper function to urldecode strings - */ -jQuery.urldecode = function(x) { - return decodeURIComponent(x).replace(/\+/g, ' '); -}; - -/** - * small helper function to urlencode strings - */ -jQuery.urlencode = encodeURIComponent; - -/** - * This function returns the parsed url parameters of the - * current request. Multiple values per key are supported, - * it will always return arrays of strings for the value parts. - */ -jQuery.getQueryParameters = function(s) { - if (typeof s === 'undefined') - s = document.location.search; - var parts = s.substr(s.indexOf('?') + 1).split('&'); - var result = {}; - for (var i = 0; i < parts.length; i++) { - var tmp = parts[i].split('=', 2); - var key = jQuery.urldecode(tmp[0]); - var value = jQuery.urldecode(tmp[1]); - if (key in result) - result[key].push(value); - else - result[key] = [value]; - } - return result; -}; - -/** - * highlight a given string on a jquery object by wrapping it in - * span elements with the given class name. - */ -jQuery.fn.highlightText = function(text, className) { - function highlight(node, addItems) { - if (node.nodeType === 3) { - var val = node.nodeValue; - var pos = val.toLowerCase().indexOf(text); - if (pos >= 0 && - !jQuery(node.parentNode).hasClass(className) && - !jQuery(node.parentNode).hasClass("nohighlight")) { - var span; - var isInSVG = jQuery(node).closest("body, svg, foreignObject").is("svg"); - if (isInSVG) { - span = document.createElementNS("http://www.w3.org/2000/svg", "tspan"); - } else { - span = document.createElement("span"); - span.className = className; - } - span.appendChild(document.createTextNode(val.substr(pos, text.length))); - node.parentNode.insertBefore(span, node.parentNode.insertBefore( - document.createTextNode(val.substr(pos + text.length)), - node.nextSibling)); - node.nodeValue = val.substr(0, pos); - if (isInSVG) { - var rect = document.createElementNS("http://www.w3.org/2000/svg", "rect"); - var bbox = node.parentElement.getBBox(); - rect.x.baseVal.value = bbox.x; - rect.y.baseVal.value = bbox.y; - rect.width.baseVal.value = bbox.width; - rect.height.baseVal.value = bbox.height; - rect.setAttribute('class', className); - addItems.push({ - "parent": node.parentNode, - "target": rect}); - } - } - } - else if (!jQuery(node).is("button, select, textarea")) { - jQuery.each(node.childNodes, function() { - highlight(this, addItems); - }); - } - } - var addItems = []; - var result = this.each(function() { - highlight(this, addItems); - }); - for (var i = 0; i < addItems.length; ++i) { - jQuery(addItems[i].parent).before(addItems[i].target); - } - return result; -}; - -/* - * backward compatibility for jQuery.browser - * This will be supported until firefox bug is fixed. - */ -if (!jQuery.browser) { - jQuery.uaMatch = function(ua) { - ua = ua.toLowerCase(); - - var match = /(chrome)[ \/]([\w.]+)/.exec(ua) || - /(webkit)[ \/]([\w.]+)/.exec(ua) || - /(opera)(?:.*version|)[ \/]([\w.]+)/.exec(ua) || - /(msie) ([\w.]+)/.exec(ua) || - ua.indexOf("compatible") < 0 && /(mozilla)(?:.*? rv:([\w.]+)|)/.exec(ua) || - []; - - return { - browser: match[ 1 ] || "", - version: match[ 2 ] || "0" - }; - }; - jQuery.browser = {}; - jQuery.browser[jQuery.uaMatch(navigator.userAgent).browser] = true; -} - -/** - * Small JavaScript module for the documentation. - */ -var Documentation = { - - init : function() { - this.fixFirefoxAnchorBug(); - this.highlightSearchWords(); - this.initIndexTable(); - if (DOCUMENTATION_OPTIONS.NAVIGATION_WITH_KEYS) { - this.initOnKeyListeners(); - } - }, - - /** - * i18n support - */ - TRANSLATIONS : {}, - PLURAL_EXPR : function(n) { return n === 1 ? 0 : 1; }, - LOCALE : 'unknown', - - // gettext and ngettext don't access this so that the functions - // can safely bound to a different name (_ = Documentation.gettext) - gettext : function(string) { - var translated = Documentation.TRANSLATIONS[string]; - if (typeof translated === 'undefined') - return string; - return (typeof translated === 'string') ? translated : translated[0]; - }, - - ngettext : function(singular, plural, n) { - var translated = Documentation.TRANSLATIONS[singular]; - if (typeof translated === 'undefined') - return (n == 1) ? singular : plural; - return translated[Documentation.PLURALEXPR(n)]; - }, - - addTranslations : function(catalog) { - for (var key in catalog.messages) - this.TRANSLATIONS[key] = catalog.messages[key]; - this.PLURAL_EXPR = new Function('n', 'return +(' + catalog.plural_expr + ')'); - this.LOCALE = catalog.locale; - }, - - /** - * add context elements like header anchor links - */ - addContextElements : function() { - $('div[id] > :header:first').each(function() { - $('\u00B6'). - attr('href', '#' + this.id). - attr('title', _('Permalink to this headline')). - appendTo(this); - }); - $('dt[id]').each(function() { - $('\u00B6'). - attr('href', '#' + this.id). - attr('title', _('Permalink to this definition')). - appendTo(this); - }); - }, - - /** - * workaround a firefox stupidity - * see: https://bugzilla.mozilla.org/show_bug.cgi?id=645075 - */ - fixFirefoxAnchorBug : function() { - if (document.location.hash && $.browser.mozilla) - window.setTimeout(function() { - document.location.href += ''; - }, 10); - }, - - /** - * highlight the search words provided in the url in the text - */ - highlightSearchWords : function() { - var params = $.getQueryParameters(); - var terms = (params.highlight) ? params.highlight[0].split(/\s+/) : []; - if (terms.length) { - var body = $('div.body'); - if (!body.length) { - body = $('body'); - } - window.setTimeout(function() { - $.each(terms, function() { - body.highlightText(this.toLowerCase(), 'highlighted'); - }); - }, 10); - $('

' + _('Hide Search Matches') + '

') - .appendTo($('#searchbox')); - } - }, - - /** - * init the domain index toggle buttons - */ - initIndexTable : function() { - var togglers = $('img.toggler').click(function() { - var src = $(this).attr('src'); - var idnum = $(this).attr('id').substr(7); - $('tr.cg-' + idnum).toggle(); - if (src.substr(-9) === 'minus.png') - $(this).attr('src', src.substr(0, src.length-9) + 'plus.png'); - else - $(this).attr('src', src.substr(0, src.length-8) + 'minus.png'); - }).css('display', ''); - if (DOCUMENTATION_OPTIONS.COLLAPSE_INDEX) { - togglers.click(); - } - }, - - /** - * helper function to hide the search marks again - */ - hideSearchWords : function() { - $('#searchbox .highlight-link').fadeOut(300); - $('span.highlighted').removeClass('highlighted'); - }, - - /** - * make the url absolute - */ - makeURL : function(relativeURL) { - return DOCUMENTATION_OPTIONS.URL_ROOT + '/' + relativeURL; - }, - - /** - * get the current relative url - */ - getCurrentURL : function() { - var path = document.location.pathname; - var parts = path.split(/\//); - $.each(DOCUMENTATION_OPTIONS.URL_ROOT.split(/\//), function() { - if (this === '..') - parts.pop(); - }); - var url = parts.join('/'); - return path.substring(url.lastIndexOf('/') + 1, path.length - 1); - }, - - initOnKeyListeners: function() { - $(document).keyup(function(event) { - var activeElementType = document.activeElement.tagName; - // don't navigate when in search box or textarea - if (activeElementType !== 'TEXTAREA' && activeElementType !== 'INPUT' && activeElementType !== 'SELECT') { - switch (event.keyCode) { - case 37: // left - var prevHref = $('link[rel="prev"]').prop('href'); - if (prevHref) { - window.location.href = prevHref; - return false; - } - case 39: // right - var nextHref = $('link[rel="next"]').prop('href'); - if (nextHref) { - window.location.href = nextHref; - return false; - } - } - } - }); - } -}; - -// quick alias for translations -_ = Documentation.gettext; - -$(document).ready(function() { - Documentation.init(); -}); +/* + * doctools.js + * ~~~~~~~~~~~ + * + * Sphinx JavaScript utilities for all documentation. + * + * :copyright: Copyright 2007-2019 by the Sphinx team, see AUTHORS. + * :license: BSD, see LICENSE for details. + * + */ + +/** + * select a different prefix for underscore + */ +$u = _.noConflict(); + +/** + * make the code below compatible with browsers without + * an installed firebug like debugger +if (!window.console || !console.firebug) { + var names = ["log", "debug", "info", "warn", "error", "assert", "dir", + "dirxml", "group", "groupEnd", "time", "timeEnd", "count", "trace", + "profile", "profileEnd"]; + window.console = {}; + for (var i = 0; i < names.length; ++i) + window.console[names[i]] = function() {}; +} + */ + +/** + * small helper function to urldecode strings + */ +jQuery.urldecode = function(x) { + return decodeURIComponent(x).replace(/\+/g, ' '); +}; + +/** + * small helper function to urlencode strings + */ +jQuery.urlencode = encodeURIComponent; + +/** + * This function returns the parsed url parameters of the + * current request. Multiple values per key are supported, + * it will always return arrays of strings for the value parts. + */ +jQuery.getQueryParameters = function(s) { + if (typeof s === 'undefined') + s = document.location.search; + var parts = s.substr(s.indexOf('?') + 1).split('&'); + var result = {}; + for (var i = 0; i < parts.length; i++) { + var tmp = parts[i].split('=', 2); + var key = jQuery.urldecode(tmp[0]); + var value = jQuery.urldecode(tmp[1]); + if (key in result) + result[key].push(value); + else + result[key] = [value]; + } + return result; +}; + +/** + * highlight a given string on a jquery object by wrapping it in + * span elements with the given class name. + */ +jQuery.fn.highlightText = function(text, className) { + function highlight(node, addItems) { + if (node.nodeType === 3) { + var val = node.nodeValue; + var pos = val.toLowerCase().indexOf(text); + if (pos >= 0 && + !jQuery(node.parentNode).hasClass(className) && + !jQuery(node.parentNode).hasClass("nohighlight")) { + var span; + var isInSVG = jQuery(node).closest("body, svg, foreignObject").is("svg"); + if (isInSVG) { + span = document.createElementNS("http://www.w3.org/2000/svg", "tspan"); + } else { + span = document.createElement("span"); + span.className = className; + } + span.appendChild(document.createTextNode(val.substr(pos, text.length))); + node.parentNode.insertBefore(span, node.parentNode.insertBefore( + document.createTextNode(val.substr(pos + text.length)), + node.nextSibling)); + node.nodeValue = val.substr(0, pos); + if (isInSVG) { + var rect = document.createElementNS("http://www.w3.org/2000/svg", "rect"); + var bbox = node.parentElement.getBBox(); + rect.x.baseVal.value = bbox.x; + rect.y.baseVal.value = bbox.y; + rect.width.baseVal.value = bbox.width; + rect.height.baseVal.value = bbox.height; + rect.setAttribute('class', className); + addItems.push({ + "parent": node.parentNode, + "target": rect}); + } + } + } + else if (!jQuery(node).is("button, select, textarea")) { + jQuery.each(node.childNodes, function() { + highlight(this, addItems); + }); + } + } + var addItems = []; + var result = this.each(function() { + highlight(this, addItems); + }); + for (var i = 0; i < addItems.length; ++i) { + jQuery(addItems[i].parent).before(addItems[i].target); + } + return result; +}; + +/* + * backward compatibility for jQuery.browser + * This will be supported until firefox bug is fixed. + */ +if (!jQuery.browser) { + jQuery.uaMatch = function(ua) { + ua = ua.toLowerCase(); + + var match = /(chrome)[ \/]([\w.]+)/.exec(ua) || + /(webkit)[ \/]([\w.]+)/.exec(ua) || + /(opera)(?:.*version|)[ \/]([\w.]+)/.exec(ua) || + /(msie) ([\w.]+)/.exec(ua) || + ua.indexOf("compatible") < 0 && /(mozilla)(?:.*? rv:([\w.]+)|)/.exec(ua) || + []; + + return { + browser: match[ 1 ] || "", + version: match[ 2 ] || "0" + }; + }; + jQuery.browser = {}; + jQuery.browser[jQuery.uaMatch(navigator.userAgent).browser] = true; +} + +/** + * Small JavaScript module for the documentation. + */ +var Documentation = { + + init : function() { + this.fixFirefoxAnchorBug(); + this.highlightSearchWords(); + this.initIndexTable(); + if (DOCUMENTATION_OPTIONS.NAVIGATION_WITH_KEYS) { + this.initOnKeyListeners(); + } + }, + + /** + * i18n support + */ + TRANSLATIONS : {}, + PLURAL_EXPR : function(n) { return n === 1 ? 0 : 1; }, + LOCALE : 'unknown', + + // gettext and ngettext don't access this so that the functions + // can safely bound to a different name (_ = Documentation.gettext) + gettext : function(string) { + var translated = Documentation.TRANSLATIONS[string]; + if (typeof translated === 'undefined') + return string; + return (typeof translated === 'string') ? translated : translated[0]; + }, + + ngettext : function(singular, plural, n) { + var translated = Documentation.TRANSLATIONS[singular]; + if (typeof translated === 'undefined') + return (n == 1) ? singular : plural; + return translated[Documentation.PLURALEXPR(n)]; + }, + + addTranslations : function(catalog) { + for (var key in catalog.messages) + this.TRANSLATIONS[key] = catalog.messages[key]; + this.PLURAL_EXPR = new Function('n', 'return +(' + catalog.plural_expr + ')'); + this.LOCALE = catalog.locale; + }, + + /** + * add context elements like header anchor links + */ + addContextElements : function() { + $('div[id] > :header:first').each(function() { + $('\u00B6'). + attr('href', '#' + this.id). + attr('title', _('Permalink to this headline')). + appendTo(this); + }); + $('dt[id]').each(function() { + $('\u00B6'). + attr('href', '#' + this.id). + attr('title', _('Permalink to this definition')). + appendTo(this); + }); + }, + + /** + * workaround a firefox stupidity + * see: https://bugzilla.mozilla.org/show_bug.cgi?id=645075 + */ + fixFirefoxAnchorBug : function() { + if (document.location.hash && $.browser.mozilla) + window.setTimeout(function() { + document.location.href += ''; + }, 10); + }, + + /** + * highlight the search words provided in the url in the text + */ + highlightSearchWords : function() { + var params = $.getQueryParameters(); + var terms = (params.highlight) ? params.highlight[0].split(/\s+/) : []; + if (terms.length) { + var body = $('div.body'); + if (!body.length) { + body = $('body'); + } + window.setTimeout(function() { + $.each(terms, function() { + body.highlightText(this.toLowerCase(), 'highlighted'); + }); + }, 10); + $('

' + _('Hide Search Matches') + '

') + .appendTo($('#searchbox')); + } + }, + + /** + * init the domain index toggle buttons + */ + initIndexTable : function() { + var togglers = $('img.toggler').click(function() { + var src = $(this).attr('src'); + var idnum = $(this).attr('id').substr(7); + $('tr.cg-' + idnum).toggle(); + if (src.substr(-9) === 'minus.png') + $(this).attr('src', src.substr(0, src.length-9) + 'plus.png'); + else + $(this).attr('src', src.substr(0, src.length-8) + 'minus.png'); + }).css('display', ''); + if (DOCUMENTATION_OPTIONS.COLLAPSE_INDEX) { + togglers.click(); + } + }, + + /** + * helper function to hide the search marks again + */ + hideSearchWords : function() { + $('#searchbox .highlight-link').fadeOut(300); + $('span.highlighted').removeClass('highlighted'); + }, + + /** + * make the url absolute + */ + makeURL : function(relativeURL) { + return DOCUMENTATION_OPTIONS.URL_ROOT + '/' + relativeURL; + }, + + /** + * get the current relative url + */ + getCurrentURL : function() { + var path = document.location.pathname; + var parts = path.split(/\//); + $.each(DOCUMENTATION_OPTIONS.URL_ROOT.split(/\//), function() { + if (this === '..') + parts.pop(); + }); + var url = parts.join('/'); + return path.substring(url.lastIndexOf('/') + 1, path.length - 1); + }, + + initOnKeyListeners: function() { + $(document).keyup(function(event) { + var activeElementType = document.activeElement.tagName; + // don't navigate when in search box or textarea + if (activeElementType !== 'TEXTAREA' && activeElementType !== 'INPUT' && activeElementType !== 'SELECT') { + switch (event.keyCode) { + case 37: // left + var prevHref = $('link[rel="prev"]').prop('href'); + if (prevHref) { + window.location.href = prevHref; + return false; + } + case 39: // right + var nextHref = $('link[rel="next"]').prop('href'); + if (nextHref) { + window.location.href = nextHref; + return false; + } + } + } + }); + } +}; + +// quick alias for translations +_ = Documentation.gettext; + +$(document).ready(function() { + Documentation.init(); +}); diff --git a/docs/_build/html/_static/documentation_options.js b/docs/_build/html/_static/documentation_options.js index 7567ac0..82fbe63 100644 --- a/docs/_build/html/_static/documentation_options.js +++ b/docs/_build/html/_static/documentation_options.js @@ -1,10 +1,10 @@ -var DOCUMENTATION_OPTIONS = { - URL_ROOT: document.getElementById("documentation_options").getAttribute('data-url_root'), - VERSION: '0.1.1', - LANGUAGE: 'None', - COLLAPSE_INDEX: false, - FILE_SUFFIX: '.html', - HAS_SOURCE: true, - SOURCELINK_SUFFIX: '.txt', - NAVIGATION_WITH_KEYS: false +var DOCUMENTATION_OPTIONS = { + URL_ROOT: document.getElementById("documentation_options").getAttribute('data-url_root'), + VERSION: '0.1.1', + LANGUAGE: 'None', + COLLAPSE_INDEX: false, + FILE_SUFFIX: '.html', + HAS_SOURCE: true, + SOURCELINK_SUFFIX: '.txt', + NAVIGATION_WITH_KEYS: false }; \ No newline at end of file diff --git a/docs/_build/html/_static/jquery.js 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  • '); - if (DOCUMENTATION_OPTIONS.FILE_SUFFIX === '') { - // dirhtml builder - var dirname = item[0] + '/'; - if (dirname.match(/\/index\/$/)) { - dirname = dirname.substring(0, dirname.length-6); - } else if (dirname == 'index/') { - dirname = ''; - } - listItem.append($('').attr('href', - DOCUMENTATION_OPTIONS.URL_ROOT + dirname + - highlightstring + item[2]).html(item[1])); - } else { - // normal html builders - listItem.append($('').attr('href', - item[0] + DOCUMENTATION_OPTIONS.FILE_SUFFIX + - highlightstring + item[2]).html(item[1])); - } - if (item[3]) { - listItem.append($(' (' + item[3] + ')')); - Search.output.append(listItem); - listItem.slideDown(5, function() { - displayNextItem(); - }); - } else if (DOCUMENTATION_OPTIONS.HAS_SOURCE) { - $.ajax({url: DOCUMENTATION_OPTIONS.URL_ROOT + item[0] + DOCUMENTATION_OPTIONS.FILE_SUFFIX, - dataType: "text", - complete: function(jqxhr, textstatus) { - var data = jqxhr.responseText; - if (data !== '' && data !== undefined) { - listItem.append(Search.makeSearchSummary(data, searchterms, hlterms)); - } - Search.output.append(listItem); - listItem.slideDown(5, function() { - displayNextItem(); - }); - }}); - } else { - // no source available, just display title - Search.output.append(listItem); - listItem.slideDown(5, function() { - displayNextItem(); - }); - } - } - // search finished, update title and status message - else { - Search.stopPulse(); - Search.title.text(_('Search Results')); - if (!resultCount) - Search.status.text(_('Your search did not match any documents. Please make sure that all words are spelled correctly and that you\'ve selected enough categories.')); - else - Search.status.text(_('Search finished, found %s page(s) matching the search query.').replace('%s', resultCount)); - Search.status.fadeIn(500); - } - } - displayNextItem(); - }, - - /** - * search for object names - */ - performObjectSearch : function(object, otherterms) { - var filenames = this._index.filenames; - var docnames = this._index.docnames; - var objects = this._index.objects; - var objnames = this._index.objnames; - var titles = this._index.titles; - - var i; - var results = []; - - for (var prefix in objects) { - for (var name in objects[prefix]) { - var fullname = (prefix ? prefix + '.' : '') + name; - var fullnameLower = fullname.toLowerCase() - if (fullnameLower.indexOf(object) > -1) { - var score = 0; - var parts = fullnameLower.split('.'); - // check for different match types: exact matches of full name or - // "last name" (i.e. last dotted part) - if (fullnameLower == object || parts[parts.length - 1] == object) { - score += Scorer.objNameMatch; - // matches in last name - } else if (parts[parts.length - 1].indexOf(object) > -1) { - score += Scorer.objPartialMatch; - } - var match = objects[prefix][name]; - var objname = objnames[match[1]][2]; - var title = titles[match[0]]; - // If more than one term searched for, we require other words to be - // found in the name/title/description - if (otherterms.length > 0) { - var haystack = (prefix + ' ' + name + ' ' + - objname + ' ' + title).toLowerCase(); - var allfound = true; - for (i = 0; i < otherterms.length; i++) { - if (haystack.indexOf(otherterms[i]) == -1) { - allfound = false; - break; - } - } - if (!allfound) { - continue; - } - } - var descr = objname + _(', in ') + title; - - var anchor = match[3]; - if (anchor === '') - anchor = fullname; - else if (anchor == '-') - anchor = objnames[match[1]][1] + '-' + fullname; - // add custom score for some objects according to scorer - if (Scorer.objPrio.hasOwnProperty(match[2])) { - score += Scorer.objPrio[match[2]]; - } else { - score += Scorer.objPrioDefault; - } - results.push([docnames[match[0]], fullname, '#'+anchor, descr, score, filenames[match[0]]]); - } - } - } - - return results; - }, - - /** - * search for full-text terms in the index - */ - performTermsSearch : function(searchterms, excluded, terms, titleterms) { - var docnames = this._index.docnames; - var filenames = this._index.filenames; - var titles = this._index.titles; - - var i, j, file; - var fileMap = {}; - var scoreMap = {}; - var results = []; - - // perform the search on the required terms - for (i = 0; i < searchterms.length; i++) { - var word = searchterms[i]; - var files = []; - var _o = [ - {files: terms[word], score: Scorer.term}, - {files: titleterms[word], score: Scorer.title} - ]; - // add support for partial matches - if (word.length > 2) { - for (var w in terms) { - if (w.match(word) && !terms[word]) { - _o.push({files: terms[w], score: Scorer.partialTerm}) - } - } - for (var w in titleterms) { - if (w.match(word) && !titleterms[word]) { - _o.push({files: titleterms[w], score: Scorer.partialTitle}) - } - } - } - - // no match but word was a required one - if ($u.every(_o, function(o){return o.files === undefined;})) { - break; - } - // found search word in contents - $u.each(_o, function(o) { - var _files = o.files; - if (_files === undefined) - return - - if (_files.length === undefined) - _files = [_files]; - files = files.concat(_files); - - // set score for the word in each file to Scorer.term - for (j = 0; j < _files.length; j++) { - file = _files[j]; - if (!(file in scoreMap)) - scoreMap[file] = {} - scoreMap[file][word] = o.score; - } - }); - - // create the mapping - for (j = 0; j < files.length; j++) { - file = files[j]; - if (file in fileMap) - fileMap[file].push(word); - else - fileMap[file] = [word]; - } - } - - // now check if the files don't contain excluded terms - for (file in fileMap) { - var valid = true; - - // check if all requirements are matched - var filteredTermCount = // as search terms with length < 3 are discarded: ignore - searchterms.filter(function(term){return term.length > 2}).length - if ( - fileMap[file].length != searchterms.length && - fileMap[file].length != filteredTermCount - ) continue; - - // ensure that none of the excluded terms is in the search result - for (i = 0; i < excluded.length; i++) { - if (terms[excluded[i]] == file || - titleterms[excluded[i]] == file || - $u.contains(terms[excluded[i]] || [], file) || - $u.contains(titleterms[excluded[i]] || [], file)) { - valid = false; - break; - } - } - - // if we have still a valid result we can add it to the result list - if (valid) { - // select one (max) score for the file. - // for better ranking, we should calculate ranking by using words statistics like basic tf-idf... - var score = $u.max($u.map(fileMap[file], function(w){return scoreMap[file][w]})); - results.push([docnames[file], titles[file], '', null, score, filenames[file]]); - } - } - return results; - }, - - /** - * helper function to return a node containing the - * search summary for a given text. keywords is a list - * of stemmed words, hlwords is the list of normal, unstemmed - * words. the first one is used to find the occurrence, the - * latter for highlighting it. - */ - makeSearchSummary : function(htmlText, keywords, hlwords) { - var text = Search.htmlToText(htmlText); - var textLower = text.toLowerCase(); - var start = 0; - $.each(keywords, function() { - var i = textLower.indexOf(this.toLowerCase()); - if (i > -1) - start = i; - }); - start = Math.max(start - 120, 0); - var excerpt = ((start > 0) ? '...' : '') + - $.trim(text.substr(start, 240)) + - ((start + 240 - text.length) ? '...' : ''); - var rv = $('
    ').text(excerpt); - $.each(hlwords, function() { - rv = rv.highlightText(this, 'highlighted'); - }); - return rv; - } -}; - -$(document).ready(function() { - Search.init(); -}); +/* + * searchtools.js + * ~~~~~~~~~~~~~~~~ + * + * Sphinx JavaScript utilities for the full-text search. + * + * :copyright: Copyright 2007-2019 by the Sphinx team, see AUTHORS. + * :license: BSD, see LICENSE for details. + * + */ + +if (!Scorer) { + /** + * Simple result scoring code. + */ + var Scorer = { + // Implement the following function to further tweak the score for each result + // The function takes a result array [filename, title, anchor, descr, score] + // and returns the new score. + /* + score: function(result) { + return result[4]; + }, + */ + + // query matches the full name of an object + objNameMatch: 11, + // or matches in the last dotted part of the object name + objPartialMatch: 6, + // Additive scores depending on the priority of the object + objPrio: {0: 15, // used to be importantResults + 1: 5, // used to be objectResults + 2: -5}, // used to be unimportantResults + // Used when the priority is not in the mapping. + objPrioDefault: 0, + + // query found in title + title: 15, + partialTitle: 7, + // query found in terms + term: 5, + partialTerm: 2 + }; +} + +if (!splitQuery) { + function splitQuery(query) { + return query.split(/\s+/); + } +} + +/** + * Search Module + */ +var Search = { + + _index : null, + _queued_query : null, + _pulse_status : -1, + + htmlToText : function(htmlString) { + var htmlElement = document.createElement('span'); + htmlElement.innerHTML = htmlString; + $(htmlElement).find('.headerlink').remove(); + docContent = $(htmlElement).find('[role=main]')[0]; + return docContent.textContent || docContent.innerText; + }, + + init : function() { + var params = $.getQueryParameters(); + if (params.q) { + var query = params.q[0]; + $('input[name="q"]')[0].value = query; + this.performSearch(query); + } + }, + + loadIndex : function(url) { + $.ajax({type: "GET", url: url, data: null, + dataType: "script", cache: true, + complete: function(jqxhr, textstatus) { + if (textstatus != "success") { + document.getElementById("searchindexloader").src = url; + } + }}); + }, + + setIndex : function(index) { + var q; + this._index = index; + if ((q = this._queued_query) !== null) { + this._queued_query = null; + Search.query(q); + } + }, + + hasIndex : function() { + return this._index !== null; + }, + + deferQuery : function(query) { + this._queued_query = query; + }, + + stopPulse : function() { + this._pulse_status = 0; + }, + + startPulse : function() { + if (this._pulse_status >= 0) + return; + function pulse() { + var i; + Search._pulse_status = (Search._pulse_status + 1) % 4; + var dotString = ''; + for (i = 0; i < Search._pulse_status; i++) + dotString += '.'; + Search.dots.text(dotString); + if (Search._pulse_status > -1) + window.setTimeout(pulse, 500); + } + pulse(); + }, + + /** + * perform a search for something (or wait until index is loaded) + */ + performSearch : function(query) { + // create the required interface elements + this.out = $('#search-results'); + this.title = $('

    ' + _('Searching') + '

    ').appendTo(this.out); + this.dots = $('').appendTo(this.title); + this.status = $('

     

    ').appendTo(this.out); + this.output = $('
      ').appendTo(this.out); + + $('#search-progress').text(_('Preparing search...')); + this.startPulse(); + + // index already loaded, the browser was quick! + if (this.hasIndex()) + this.query(query); + else + this.deferQuery(query); + }, + + /** + * execute search (requires search index to be loaded) + */ + query : function(query) { + var i; + + // stem the searchterms and add them to the correct list + var stemmer = new Stemmer(); + var searchterms = []; + var excluded = []; + var hlterms = []; + var tmp = splitQuery(query); + var objectterms = []; + for (i = 0; i < tmp.length; i++) { + if (tmp[i] !== "") { + objectterms.push(tmp[i].toLowerCase()); + } + + if ($u.indexOf(stopwords, tmp[i].toLowerCase()) != -1 || tmp[i].match(/^\d+$/) || + tmp[i] === "") { + // skip this "word" + continue; + } + // stem the word + var word = stemmer.stemWord(tmp[i].toLowerCase()); + // prevent stemmer from cutting word smaller than two chars + if(word.length < 3 && tmp[i].length >= 3) { + word = tmp[i]; + } + var toAppend; + // select the correct list + if (word[0] == '-') { + toAppend = excluded; + word = word.substr(1); + } + else { + toAppend = searchterms; + hlterms.push(tmp[i].toLowerCase()); + } + // only add if not already in the list + if (!$u.contains(toAppend, word)) + toAppend.push(word); + } + var highlightstring = '?highlight=' + $.urlencode(hlterms.join(" ")); + + // console.debug('SEARCH: searching for:'); + // console.info('required: ', searchterms); + // console.info('excluded: ', excluded); + + // prepare search + var terms = this._index.terms; + var titleterms = this._index.titleterms; + + // array of [filename, title, anchor, descr, score] + var results = []; + $('#search-progress').empty(); + + // lookup as object + for (i = 0; i < objectterms.length; i++) { + var others = [].concat(objectterms.slice(0, i), + objectterms.slice(i+1, objectterms.length)); + results = results.concat(this.performObjectSearch(objectterms[i], others)); + } + + // lookup as search terms in fulltext + results = results.concat(this.performTermsSearch(searchterms, excluded, terms, titleterms)); + + // let the scorer override scores with a custom scoring function + if (Scorer.score) { + for (i = 0; i < results.length; i++) + results[i][4] = Scorer.score(results[i]); + } + + // now sort the results by score (in opposite order of appearance, since the + // display function below uses pop() to retrieve items) and then + // alphabetically + results.sort(function(a, b) { + var left = a[4]; + var right = b[4]; + if (left > right) { + return 1; + } else if (left < right) { + return -1; + } else { + // same score: sort alphabetically + left = a[1].toLowerCase(); + right = b[1].toLowerCase(); + return (left > right) ? -1 : ((left < right) ? 1 : 0); + } + }); + + // for debugging + //Search.lastresults = results.slice(); // a copy + //console.info('search results:', Search.lastresults); + + // print the results + var resultCount = results.length; + function displayNextItem() { + // results left, load the summary and display it + if (results.length) { + var item = results.pop(); + var listItem = $('
    • '); + if (DOCUMENTATION_OPTIONS.FILE_SUFFIX === '') { + // dirhtml builder + var dirname = item[0] + '/'; + if (dirname.match(/\/index\/$/)) { + dirname = dirname.substring(0, dirname.length-6); + } else if (dirname == 'index/') { + dirname = ''; + } + listItem.append($('      ').attr('href', + DOCUMENTATION_OPTIONS.URL_ROOT + dirname + + highlightstring + item[2]).html(item[1])); + } else { + // normal html builders + listItem.append($('').attr('href', + item[0] + DOCUMENTATION_OPTIONS.FILE_SUFFIX + + highlightstring + item[2]).html(item[1])); + } + if (item[3]) { + listItem.append($(' (' + item[3] + ')')); + Search.output.append(listItem); + listItem.slideDown(5, function() { + displayNextItem(); + }); + } else if (DOCUMENTATION_OPTIONS.HAS_SOURCE) { + $.ajax({url: DOCUMENTATION_OPTIONS.URL_ROOT + item[0] + DOCUMENTATION_OPTIONS.FILE_SUFFIX, + dataType: "text", + complete: function(jqxhr, textstatus) { + var data = jqxhr.responseText; + if (data !== '' && data !== undefined) { + listItem.append(Search.makeSearchSummary(data, searchterms, hlterms)); + } + Search.output.append(listItem); + listItem.slideDown(5, function() { + displayNextItem(); + }); + }}); + } else { + // no source available, just display title + Search.output.append(listItem); + listItem.slideDown(5, function() { + displayNextItem(); + }); + } + } + // search finished, update title and status message + else { + Search.stopPulse(); + Search.title.text(_('Search Results')); + if (!resultCount) + Search.status.text(_('Your search did not match any documents. Please make sure that all words are spelled correctly and that you\'ve selected enough categories.')); + else + Search.status.text(_('Search finished, found %s page(s) matching the search query.').replace('%s', resultCount)); + Search.status.fadeIn(500); + } + } + displayNextItem(); + }, + + /** + * search for object names + */ + performObjectSearch : function(object, otherterms) { + var filenames = this._index.filenames; + var docnames = this._index.docnames; + var objects = this._index.objects; + var objnames = this._index.objnames; + var titles = this._index.titles; + + var i; + var results = []; + + for (var prefix in objects) { + for (var name in objects[prefix]) { + var fullname = (prefix ? prefix + '.' : '') + name; + var fullnameLower = fullname.toLowerCase() + if (fullnameLower.indexOf(object) > -1) { + var score = 0; + var parts = fullnameLower.split('.'); + // check for different match types: exact matches of full name or + // "last name" (i.e. last dotted part) + if (fullnameLower == object || parts[parts.length - 1] == object) { + score += Scorer.objNameMatch; + // matches in last name + } else if (parts[parts.length - 1].indexOf(object) > -1) { + score += Scorer.objPartialMatch; + } + var match = objects[prefix][name]; + var objname = objnames[match[1]][2]; + var title = titles[match[0]]; + // If more than one term searched for, we require other words to be + // found in the name/title/description + if (otherterms.length > 0) { + var haystack = (prefix + ' ' + name + ' ' + + objname + ' ' + title).toLowerCase(); + var allfound = true; + for (i = 0; i < otherterms.length; i++) { + if (haystack.indexOf(otherterms[i]) == -1) { + allfound = false; + break; + } + } + if (!allfound) { + continue; + } + } + var descr = objname + _(', in ') + title; + + var anchor = match[3]; + if (anchor === '') + anchor = fullname; + else if (anchor == '-') + anchor = objnames[match[1]][1] + '-' + fullname; + // add custom score for some objects according to scorer + if (Scorer.objPrio.hasOwnProperty(match[2])) { + score += Scorer.objPrio[match[2]]; + } else { + score += Scorer.objPrioDefault; + } + results.push([docnames[match[0]], fullname, '#'+anchor, descr, score, filenames[match[0]]]); + } + } + } + + return results; + }, + + /** + * search for full-text terms in the index + */ + performTermsSearch : function(searchterms, excluded, terms, titleterms) { + var docnames = this._index.docnames; + var filenames = this._index.filenames; + var titles = this._index.titles; + + var i, j, file; + var fileMap = {}; + var scoreMap = {}; + var results = []; + + // perform the search on the required terms + for (i = 0; i < searchterms.length; i++) { + var word = searchterms[i]; + var files = []; + var _o = [ + {files: terms[word], score: Scorer.term}, + {files: titleterms[word], score: Scorer.title} + ]; + // add support for partial matches + if (word.length > 2) { + for (var w in terms) { + if (w.match(word) && !terms[word]) { + _o.push({files: terms[w], score: Scorer.partialTerm}) + } + } + for (var w in titleterms) { + if (w.match(word) && !titleterms[word]) { + _o.push({files: titleterms[w], score: Scorer.partialTitle}) + } + } + } + + // no match but word was a required one + if ($u.every(_o, function(o){return o.files === undefined;})) { + break; + } + // found search word in contents + $u.each(_o, function(o) { + var _files = o.files; + if (_files === undefined) + return + + if (_files.length === undefined) + _files = [_files]; + files = files.concat(_files); + + // set score for the word in each file to Scorer.term + for (j = 0; j < _files.length; j++) { + file = _files[j]; + if (!(file in scoreMap)) + scoreMap[file] = {} + scoreMap[file][word] = o.score; + } + }); + + // create the mapping + for (j = 0; j < files.length; j++) { + file = files[j]; + if (file in fileMap) + fileMap[file].push(word); + else + fileMap[file] = [word]; + } + } + + // now check if the files don't contain excluded terms + for (file in fileMap) { + var valid = true; + + // check if all requirements are matched + var filteredTermCount = // as search terms with length < 3 are discarded: ignore + searchterms.filter(function(term){return term.length > 2}).length + if ( + fileMap[file].length != searchterms.length && + fileMap[file].length != filteredTermCount + ) continue; + + // ensure that none of the excluded terms is in the search result + for (i = 0; i < excluded.length; i++) { + if (terms[excluded[i]] == file || + titleterms[excluded[i]] == file || + $u.contains(terms[excluded[i]] || [], file) || + $u.contains(titleterms[excluded[i]] || [], file)) { + valid = false; + break; + } + } + + // if we have still a valid result we can add it to the result list + if (valid) { + // select one (max) score for the file. + // for better ranking, we should calculate ranking by using words statistics like basic tf-idf... + var score = $u.max($u.map(fileMap[file], function(w){return scoreMap[file][w]})); + results.push([docnames[file], titles[file], '', null, score, filenames[file]]); + } + } + return results; + }, + + /** + * helper function to return a node containing the + * search summary for a given text. keywords is a list + * of stemmed words, hlwords is the list of normal, unstemmed + * words. the first one is used to find the occurrence, the + * latter for highlighting it. + */ + makeSearchSummary : function(htmlText, keywords, hlwords) { + var text = Search.htmlToText(htmlText); + var textLower = text.toLowerCase(); + var start = 0; + $.each(keywords, function() { + var i = textLower.indexOf(this.toLowerCase()); + if (i > -1) + start = i; + }); + start = Math.max(start - 120, 0); + var excerpt = ((start > 0) ? '...' : '') + + $.trim(text.substr(start, 240)) + + ((start + 240 - text.length) ? '...' : ''); + var rv = $('
      ').text(excerpt); + $.each(hlwords, function() { + rv = rv.highlightText(this, 'highlighted'); + }); + return rv; + } +}; + +$(document).ready(function() { + Search.init(); +}); diff --git a/docs/_build/html/antenna_intensity_modeler.html b/docs/_build/html/antenna_intensity_modeler.html index bffb9ee..d330c1b 100644 --- a/docs/_build/html/antenna_intensity_modeler.html +++ b/docs/_build/html/antenna_intensity_modeler.html @@ -1,253 +1,253 @@ - - - - - - - antenna_intensity_modeler package — antenna-intensity-modeler 0.1.1 documentation - - - - - - - - - - - - -       - -
      -
      -
      -
      - -
      -

      antenna_intensity_modeler package

      -
      -

      Submodules

      -
      -
      -

      antenna_intensity_modeler.cli module

      -
      -
      -

      antenna_intensity_modeler.parabolic module

      -

      Main module.

      -
      -
      -antenna_intensity_modeler.parabolic.hazard_plot(parameters, limit, density=1000, xbar_max=1, gain_boost=None)[source]
      -

      Hazard plot for parabolic dish.

      -

      Receives user input parameters and hazard limit -for parabolic dish. Computes and returns hazard distance -plot.

      -
      -
      Parameters
      -
        -

      • parameters (tuple(float)) – parameters tuple created with parameters function

        • -

      • limit (float) – power density limit

        • -

      • density – (optional) number of points for plot, if none density=1000

        • -

      • xbar_max (int) – (optional) maximum value for xbar, if none is given xbar_max=1

        • -

      • gain_boost (float) – (optional) additional numerical gain to add

        • -
      -
      -
      Returns
      -

      figure and axes for hazard plot

      -
      -
      Return type
      -

      (figure, axes)

      -
      -
      Example
      -

      -
      -
      >>> from antenna_intensity_modeler import parabolic
->>> params = parabolic.parameters(2.4, 8.4e9, 400.0, 0.62, 20.0)
->>> fig, ax = hazard_plot(params, 10.0)
-
      -
      -
      - -
      -
      -antenna_intensity_modeler.parabolic.near_field_corrections(parameters, xbar)[source]
      -

      Near field corrections for parabolic dish.

      -

      Receives user input parameters and normalized off axis distance -for parabolic dish computes and returns plot of near field correction -factors.

      -
      -
      Parameters
      -
        -

      • parameters (tuple(float)) – parameters tuple created with parameters function

        • -

      • xbar (float) – normalized off-axis distance

        • -
      -
      -
      Returns
      -

      dataframe

      -
      -
      Return type
      -

      pandas dataframe

      -
      -
      Example
      -

      -
      -
      >>> from antenna_intensity_modeler import parabolic
->>> import matplotlib.pyplot as plt
->>> params = parabolic.parameters(2.4, 8.4e9, 400.0, 0.62, 20.0)
->>> xbar = 1.0
->>> table = parabolic.near_field_corrections(params, xbar)
->>> fig, ax = plt.subplots()
->>> ax.semilogx(table.delta, table.Pcorr)
->>> ax.set_xlim([0.01, 1.0])
->>> ax.grid(True, which="both")
->>> ax.minorticks_on()
->>> side_lobe_ratio = params[4]
->>> ax.set_title("Near Field Corrections xbar: %s , slr: %s" % (xbar, side_lobe_ratio))
->>> ax.set_xlabel("Normalized On Axis Distance")
->>> ax.set_ylabel("Normalized On Axis Power Density")
->>> fig.show()
-
      -
      -_images/nfcImage.png -
      - -
      -
      -antenna_intensity_modeler.parabolic.parameters(radius_meters, freq_mhz, power_watts, efficiency, side_lobe_ratio)[source]
      -

      Parameters for parabolic dish

      -

      Receives user input parameters for parabolic dish and -computes and returns all needed parameters for parabolic -functions.

      -
      -
      Parameters
      -
        -

      • radius_meters (float) – antenna radius in meters.

        • -

      • freq_mhz (float) – frequency in megahertz.

        • -

      • power_watts (float) – output power of radio in watts.

        • -

      • efficiency (float) – efficiency of antenna.

        • -

      • side_lobe_ratio (float) – side lobe ratio of antenna.

        • -
      -
      -
      Returns
      -

      parameters needed for parabolic functions.

      -
      -
      Return type
      -

      tuple(float)

      -
      -
      Example
      -

      -
      -
      >>> from antenna_intensity_modeler import parabolic
->>> params = parabolic.parameters(2.4, 8400., 400.0, 0.62, 20.0)
->>> params
-(2.4, 8400., 400, 0.62, 20, 0.4872, 1290.24, 2.1134, 175.929)
-
      -
      -
      - -
      -
      -antenna_intensity_modeler.parabolic.print_parameters(parameters)[source]
      -

      Prints formated parameter list.

      -
      -
      Args:

      parameters(tuple): parameters tuple created with parameters function

      -
      -
      Returns:

      none

      -
      -
      -
      - -
      -
      -

      Module contents

      -

      Top-level package for antenna-intensity-modeler.

      -
      -
      - - -
      -
      -
      - -
      -
      - - - + + + + + + + antenna_intensity_modeler package — antenna-intensity-modeler 0.1.1 documentation + + + + + + + + + + + + + + +
      +
      +
      +
      + +
      +

      antenna_intensity_modeler package

      +
      +

      Submodules

      +
      +
      +

      antenna_intensity_modeler.cli module

      +
      +
      +

      antenna_intensity_modeler.parabolic module

      +

      Main module.

      +
      +
      +antenna_intensity_modeler.parabolic.hazard_plot(parameters, limit, density=1000, xbar_max=1, gain_boost=None)[source]
      +

      Hazard plot for parabolic dish.

      +

      Receives user input parameters and hazard limit +for parabolic dish. Computes and returns hazard distance +plot.

      +
      +
      Parameters
      +
        +

      • parameters (tuple(float)) – parameters tuple created with parameters function

        • +

      • limit (float) – power density limit

        • +

      • density – (optional) number of points for plot, if none density=1000

        • +

      • xbar_max (int) – (optional) maximum value for xbar, if none is given xbar_max=1

        • +

      • gain_boost (float) – (optional) additional numerical gain to add

        • +
      +
      +
      Returns
      +

      figure and axes for hazard plot

      +
      +
      Return type
      +

      (figure, axes)

      +
      +
      Example
      +

      +
      +
      >>> from antenna_intensity_modeler import parabolic
+>>> params = parabolic.parameters(2.4, 8.4e9, 400.0, 0.62, 20.0)
+>>> fig, ax = hazard_plot(params, 10.0)
+
      +
      +
      + +
      +
      +antenna_intensity_modeler.parabolic.near_field_corrections(parameters, xbar)[source]
      +

      Near field corrections for parabolic dish.

      +

      Receives user input parameters and normalized off axis distance +for parabolic dish computes and returns plot of near field correction +factors.

      +
      +
      Parameters
      +
        +

      • parameters (tuple(float)) – parameters tuple created with parameters function

        • +

      • xbar (float) – normalized off-axis distance

        • +
      +
      +
      Returns
      +

      dataframe

      +
      +
      Return type
      +

      pandas dataframe

      +
      +
      Example
      +

      +
      +
      >>> from antenna_intensity_modeler import parabolic
+>>> import matplotlib.pyplot as plt
+>>> params = parabolic.parameters(2.4, 8.4e9, 400.0, 0.62, 20.0)
+>>> xbar = 1.0
+>>> table = parabolic.near_field_corrections(params, xbar)
+>>> fig, ax = plt.subplots()
+>>> ax.semilogx(table.delta, table.Pcorr)
+>>> ax.set_xlim([0.01, 1.0])
+>>> ax.grid(True, which="both")
+>>> ax.minorticks_on()
+>>> side_lobe_ratio = params[4]
+>>> ax.set_title("Near Field Corrections xbar: %s , slr: %s" % (xbar, side_lobe_ratio))
+>>> ax.set_xlabel("Normalized On Axis Distance")
+>>> ax.set_ylabel("Normalized On Axis Power Density")
+>>> fig.show()
+
      +
      +_images/nfcImage.png +
      + +
      +
      +antenna_intensity_modeler.parabolic.parameters(radius_meters, freq_mhz, power_watts, efficiency, side_lobe_ratio)[source]
      +

      Parameters for parabolic dish

      +

      Receives user input parameters for parabolic dish and +computes and returns all needed parameters for parabolic +functions.

      +
      +
      Parameters
      +
        +

      • radius_meters (float) – antenna radius in meters.

        • +

      • freq_mhz (float) – frequency in megahertz.

        • +

      • power_watts (float) – output power of radio in watts.

        • +

      • efficiency (float) – efficiency of antenna.

        • +

      • side_lobe_ratio (float) – side lobe ratio of antenna.

        • +
      +
      +
      Returns
      +

      parameters needed for parabolic functions.

      +
      +
      Return type
      +

      tuple(float)

      +
      +
      Example
      +

      +
      +
      >>> from antenna_intensity_modeler import parabolic
+>>> params = parabolic.parameters(2.4, 8400., 400.0, 0.62, 20.0)
+>>> params
+(2.4, 8400., 400, 0.62, 20, 0.4872, 1290.24, 2.1134, 175.929)
+
      +
      +
      + +
      +
      +antenna_intensity_modeler.parabolic.print_parameters(parameters)[source]
      +

      Prints formated parameter list.

      +
      +
      Args:

      parameters(tuple): parameters tuple created with parameters function

      +
      +
      Returns:

      none

      +
      +
      +
      + +
      +
      +

      Module contents

      +

      Top-level package for antenna-intensity-modeler.

      +
      +
      + + +
      +
      +
      + +
      +
      + + + \ No newline at end of file diff --git a/docs/_build/html/authors.html b/docs/_build/html/authors.html index 038688d..a68f9bc 100644 --- a/docs/_build/html/authors.html +++ b/docs/_build/html/authors.html @@ -1,123 +1,123 @@ - - - - - - - Credits — antenna-intensity-modeler 0.1.1 documentation - - - - - - - - - - - - - - -
      -
      -
      -
      - -
      -

      Credits

      -
      -

      Development Lead

      - -
      -
      -

      Contributors

      -

      None yet. Why not be the first?

      -
      -
      - - -
      -
      -
      - -
      -
      - - - + + + + + + + Credits — antenna-intensity-modeler 0.1.1 documentation + + + + + + + + + + + + + + +
      +
      +
      +
      + +
      +

      Credits

      +
      +

      Development Lead

      + +
      +
      +

      Contributors

      +

      None yet. Why not be the first?

      +
      +
      + + +
      +
      +
      + +
      +
      + + + \ No newline at end of file diff --git a/docs/_build/html/contributing.html b/docs/_build/html/contributing.html index 4b0b67e..242011d 100644 --- a/docs/_build/html/contributing.html +++ b/docs/_build/html/contributing.html @@ -1,240 +1,240 @@ - - - - - - - Contributing — antenna-intensity-modeler 0.1.1 documentation - - - - - - - - - - - - - - -
      -
      -
      -
      - -
      -

      Contributing

      -

      Contributions are welcome, and they are greatly appreciated! Every little bit -helps, and credit will always be given.

      -

      You can contribute in many ways:

      -
      -

      Types of Contributions

      -
      -

      Report Bugs

      -

      Report bugs at https://github.com/wboxx1/antenna_intensity_modeler/issues.

      -

      If you are reporting a bug, please include:

      -
        -

      • Your operating system name and version.

        • -

      • Any details about your local setup that might be helpful in troubleshooting.

        • -

      • Detailed steps to reproduce the bug.

        • -
      -
      -
      -

      Fix Bugs

      -

      Look through the GitHub issues for bugs. Anything tagged with “bug” and “help -wanted” is open to whoever wants to implement it.

      -
      -
      -

      Implement Features

      -

      Look through the GitHub issues for features. Anything tagged with “enhancement” -and “help wanted” is open to whoever wants to implement it.

      -
      -
      -

      Write Documentation

      -

      antenna-intensity-modeler could always use more documentation, whether as part of the -official antenna-intensity-modeler docs, in docstrings, or even on the web in blog posts, -articles, and such.

      -
      -
      -

      Submit Feedback

      -

      The best way to send feedback is to file an issue at https://github.com/wboxx1/antenna_intensity_modeler/issues.

      -

      If you are proposing a feature:

      -
        -

      • Explain in detail how it would work.

        • -

      • Keep the scope as narrow as possible, to make it easier to implement.

        • -

      • Remember that this is a volunteer-driven project, and that contributions -are welcome :)

        • -
      -
      -
      -
      -

      Get Started!

      -

      Ready to contribute? Here’s how to set up antenna-intensity-modeler for local development.

      -
        -

      1. Fork the antenna-intensity-modeler repo on GitHub.

        2. -

      2. Clone your fork locally:

        -
        $ git clone git@github.com:your_name_here/antenna-intensity-modeler.git
-
        -
        -
        3. -

      3. Install your local copy into a virtualenv using poetry. Assuming you have poetry installed, this is how you set up your fork for local development:

        -
        $ cd antenna_intensity_modeler/
-$ poetry install
-$ poetry shell
-
        -
        -
        4. -

      4. Create a branch for local development:

        -
        $ git checkout -b name-of-your-bugfix-or-feature
-
        -
        -

        Now you can make your changes locally.

        -
        5. -

      5. When you’re done making changes, check that your changes pass flake8 and the -tests, including testing other Python versions with tox:

        -
        $ flake8 src/antenna_intensity_modeler tests
-$ tox
-
        -
        -

        To get flake8 and tox, just pip install them into your virtualenv.

        -
        6. -

      6. Commit your changes and push your branch to GitHub:

        -
        $ git add .
-$ git commit -m "Your detailed description of your changes."
-$ git push origin name-of-your-bugfix-or-feature
-
        -
        -
        7. -

      7. Submit a pull request through the GitHub website.

        8. -
      -
      -
      -

      Pull Request Guidelines

      -

      Before you submit a pull request, check that it meets these guidelines:

      -
        -

      1. The pull request should include tests.

        2. -

      2. If the pull request adds functionality, the docs should be updated. Put -your new functionality into a function with a docstring, and add the -feature to the list in README.rst.

        3. -

      3. The pull request should work for Python 2.7, 3.4, 3.5 and 3.6, and for PyPy. Check -https://travis-ci.org/wboxx1/antenna_intensity_modeler/pull_requests -https://ci.appveyor.com/project/wboxx1/antenna_intensity_modeler -and make sure that the tests pass for all supported Python versions.

        4. -
      -
      -
      -

      Tips

      -

      To run a subset of tests:

      -
      $ poetry run pytest tests/
-
      -
      -
      -
      -

      Deploying

      -

      A reminder for the maintainers on how to deploy. -Make sure all your changes are committed (including an entry in HISTORY.rst). -Then run:

      -
      $ bump2version patch # possible: major / minor / patch
-$ git push
-$ git push --tags
-
      -
      -

      Travis will then deploy to PyPI if tests pass.

      -
      -
      - - -
      -
      -
      - -
      -
      - - - + + + + + + + Contributing — antenna-intensity-modeler 0.1.1 documentation + + + + + + + + + + + + + + +
      +
      +
      +
      + +
      +

      Contributing

      +

      Contributions are welcome, and they are greatly appreciated! Every little bit +helps, and credit will always be given.

      +

      You can contribute in many ways:

      +
      +

      Types of Contributions

      +
      +

      Report Bugs

      +

      Report bugs at https://github.com/wboxx1/antenna_intensity_modeler/issues.

      +

      If you are reporting a bug, please include:

      +
        +

      • Your operating system name and version.

        • +

      • Any details about your local setup that might be helpful in troubleshooting.

        • +

      • Detailed steps to reproduce the bug.

        • +
      +
      +
      +

      Fix Bugs

      +

      Look through the GitHub issues for bugs. Anything tagged with “bug” and “help +wanted” is open to whoever wants to implement it.

      +
      +
      +

      Implement Features

      +

      Look through the GitHub issues for features. Anything tagged with “enhancement” +and “help wanted” is open to whoever wants to implement it.

      +
      +
      +

      Write Documentation

      +

      antenna-intensity-modeler could always use more documentation, whether as part of the +official antenna-intensity-modeler docs, in docstrings, or even on the web in blog posts, +articles, and such.

      +
      +
      +

      Submit Feedback

      +

      The best way to send feedback is to file an issue at https://github.com/wboxx1/antenna_intensity_modeler/issues.

      +

      If you are proposing a feature:

      +
        +

      • Explain in detail how it would work.

        • +

      • Keep the scope as narrow as possible, to make it easier to implement.

        • +

      • Remember that this is a volunteer-driven project, and that contributions +are welcome :)

        • +
      +
      +
      +
      +

      Get Started!

      +

      Ready to contribute? Here’s how to set up antenna-intensity-modeler for local development.

      +
        +

      1. Fork the antenna-intensity-modeler repo on GitHub.

        2. +

      2. Clone your fork locally:

        +
        $ git clone git@github.com:your_name_here/antenna-intensity-modeler.git
+
        +
        +
        3. +

      3. Install your local copy into a virtualenv using poetry. Assuming you have poetry installed, this is how you set up your fork for local development:

        +
        $ cd antenna_intensity_modeler/
+$ poetry install
+$ poetry shell
+
        +
        +
        4. +

      4. Create a branch for local development:

        +
        $ git checkout -b name-of-your-bugfix-or-feature
+
        +
        +

        Now you can make your changes locally.

        +
        5. +

      5. When you’re done making changes, check that your changes pass flake8 and the +tests, including testing other Python versions with tox:

        +
        $ flake8 src/antenna_intensity_modeler tests
+$ tox
+
        +
        +

        To get flake8 and tox, just pip install them into your virtualenv.

        +
        6. +

      6. Commit your changes and push your branch to GitHub:

        +
        $ git add .
+$ git commit -m "Your detailed description of your changes."
+$ git push origin name-of-your-bugfix-or-feature
+
        +
        +
        7. +

      7. Submit a pull request through the GitHub website.

        8. +
      +
      +
      +

      Pull Request Guidelines

      +

      Before you submit a pull request, check that it meets these guidelines:

      +
        +

      1. The pull request should include tests.

        2. +

      2. If the pull request adds functionality, the docs should be updated. Put +your new functionality into a function with a docstring, and add the +feature to the list in README.rst.

        3. +

      3. The pull request should work for Python 2.7, 3.4, 3.5 and 3.6, and for PyPy. Check +https://travis-ci.org/wboxx1/antenna_intensity_modeler/pull_requests +https://ci.appveyor.com/project/wboxx1/antenna_intensity_modeler +and make sure that the tests pass for all supported Python versions.

        4. +
      +
      +
      +

      Tips

      +

      To run a subset of tests:

      +
      $ poetry run pytest tests/
+
      +
      +
      +
      +

      Deploying

      +

      A reminder for the maintainers on how to deploy. +Make sure all your changes are committed (including an entry in HISTORY.rst). +Then run:

      +
      $ bump2version patch # possible: major / minor / patch
+$ git push
+$ git push --tags
+
      +
      +

      Travis will then deploy to PyPI if tests pass.

      +
      +
      + + +
      +
      +
      + +
      +
      + + + \ No newline at end of file diff --git a/docs/_build/html/genindex.html b/docs/_build/html/genindex.html index 60b03a0..e16e60e 100644 --- a/docs/_build/html/genindex.html +++ b/docs/_build/html/genindex.html @@ -1,125 +1,125 @@ - - - - - - - - Index — antenna-intensity-modeler 0.1.1 documentation - - - - - - - - - - - - -
      -
      -
      -
      - - -

      Index

      - -
      - A - | H - | N - | P - -
      -

      A

      - - - -
      - -

      H

      - - -
      - -

      N

      - - -
      - -

      P

      - - - -
      - - - -
      -
      -
      - -
      -
      - - - + + + + + + + + Index — antenna-intensity-modeler 0.1.1 documentation + + + + + + + + + + + + +
      +
      +
      +
      + + +

      Index

      + +
      + A + | H + | N + | P + +
      +

      A

      + + + +
      + +

      H

      + + +
      + +

      N

      + + +
      + +

      P

      + + + +
      + + + +
      +
      +
      + +
      +
      + + + \ No newline at end of file diff --git a/docs/_build/html/history.html b/docs/_build/html/history.html index 4e02d9f..6726e4d 100644 --- a/docs/_build/html/history.html +++ b/docs/_build/html/history.html @@ -1,108 +1,108 @@ - - - - - - - History — antenna-intensity-modeler 0.1.1 documentation - - - - - - - - - - - - - -
      -
      -
      -
      - -
      -

      History

      -
      -

      0.1.0 (2018-12-15)

      -
        -

      • First release on PyPI.

        • -
      -
      -
      - - -
      -
      -
      - -
      -
      - - - + + + + + + + History — antenna-intensity-modeler 0.1.1 documentation + + + + + + + + + + + + + +
      +
      +
      +
      + +
      +

      History

      +
      +

      0.1.0 (2018-12-15)

      +
        +

      • First release on PyPI.

        • +
      +
      +
      + + +
      +
      +
      + +
      +
      + + + \ No newline at end of file diff --git a/docs/_build/html/index.html b/docs/_build/html/index.html index 937d5d8..e0d3053 100644 --- a/docs/_build/html/index.html +++ b/docs/_build/html/index.html @@ -1,146 +1,146 @@ - - - - - - - Welcome to antenna-intensity-modeler’s documentation! — antenna-intensity-modeler 0.1.1 documentation - - - - - - - - - - - - - -
      -
      -
      -
      - - -
      -

      Indices and tables

      - -
      - - -
      -
      -
      - -
      -
      - - - + + + + + + + Welcome to antenna-intensity-modeler’s documentation! — antenna-intensity-modeler 0.1.1 documentation + + + + + + + + + + + + + +
      +
      +
      +
      + + +
      +

      Indices and tables

      + +
      + + +
      +
      +
      + +
      +
      + + + \ No newline at end of file diff --git a/docs/_build/html/installation.html b/docs/_build/html/installation.html index 01b5e74..278d743 100644 --- a/docs/_build/html/installation.html +++ b/docs/_build/html/installation.html @@ -1,139 +1,139 @@ - - - - - - - Installation — antenna-intensity-modeler 0.1.1 documentation - - - - - - - - - - - - - - -
      -
      -
      -
      - -
      -

      Installation

      -
      -

      Stable release

      -

      To install antenna-intensity-modeler, run this command in your terminal:

      -
      $ pip install antenna-intensity-modeler
-
      -
      -

      This is the preferred method to install antenna-intensity-modeler, as it will always install the most recent stable release.

      -

      If you don’t have pip installed, this Python installation guide can guide -you through the process.

      -
      -
      -

      From sources

      -

      The sources for antenna-intensity-modeler can be downloaded from the Github repo.

      -

      You can either clone the public repository:

      -
      $ git clone git://github.com/wboxx1/antenna-intensity-modeler
-
      -
      -

      Or download the tarball:

      -
      $ curl  -OL https://github.com/wboxx1/antenna-intensity-modeler/tarball/master
-
      -
      -

      Once you have a copy of the source, you can install into poetry virtual environment with:

      -
      $ poetry install
-
      -
      -
      -
      - - -
      -
      -
      - -
      -
      - - - + + + + + + + Installation — antenna-intensity-modeler 0.1.1 documentation + + + + + + + + + + + + + + +
      +
      +
      +
      + +
      +

      Installation

      +
      +

      Stable release

      +

      To install antenna-intensity-modeler, run this command in your terminal:

      +
      $ pip install antenna-intensity-modeler
+
      +
      +

      This is the preferred method to install antenna-intensity-modeler, as it will always install the most recent stable release.

      +

      If you don’t have pip installed, this Python installation guide can guide +you through the process.

      +
      +
      +

      From sources

      +

      The sources for antenna-intensity-modeler can be downloaded from the Github repo.

      +

      You can either clone the public repository:

      +
      $ git clone git://github.com/wboxx1/antenna-intensity-modeler
+
      +
      +

      Or download the tarball:

      +
      $ curl  -OL https://github.com/wboxx1/antenna-intensity-modeler/tarball/master
+
      +
      +

      Once you have a copy of the source, you can install into poetry virtual environment with:

      +
      $ poetry install
+
      +
      +
      +
      + + +
      +
      +
      + +
      +
      + + + \ No newline at end of file diff --git a/docs/_build/html/modules.html b/docs/_build/html/modules.html index 9d9b371..fe67b55 100644 --- a/docs/_build/html/modules.html +++ b/docs/_build/html/modules.html @@ -1,115 +1,115 @@ - - - - - - - antenna_intensity_modeler — antenna-intensity-modeler 0.1.1 documentation - - - - - - - - - - - - - - -
      -
      -
      -
      - - - - -
      -
      -
      - -
      -
      - - - + + + + + + + antenna_intensity_modeler — antenna-intensity-modeler 0.1.1 documentation + + + + + + + + + + + + + + +
      +
      +
      +
      + + + + +
      +
      +
      + +
      +
      + + + \ No newline at end of file diff --git a/docs/_build/html/py-modindex.html b/docs/_build/html/py-modindex.html index 52d2cde..33b4ea6 100644 --- a/docs/_build/html/py-modindex.html +++ b/docs/_build/html/py-modindex.html @@ -1,100 +1,100 @@ - - - - - - - Python Module Index — antenna-intensity-modeler 0.1.1 documentation - - - - - - - - - - - - - - - -
      -
      -
      -
      - - -

      Python Module Index

      - -
      - a -
      - - - - - - - - - - -
       
      - a
      - antenna_intensity_modeler -
          - antenna_intensity_modeler.parabolic -
      - - -
      -
      -
      - -
      -
      - - - + + + + + + + Python Module Index — antenna-intensity-modeler 0.1.1 documentation + + + + + + + + + + + + + + + +
      +
      +
      +
      + + +

      Python Module Index

      + +
      + a +
      + + + + + + + + + + +
       
      + a
      + antenna_intensity_modeler +
          + antenna_intensity_modeler.parabolic +
      + + +
      +
      +
      + +
      +
      + + + \ No newline at end of file diff --git a/docs/_build/html/readme.html b/docs/_build/html/readme.html index 52cba50..9f2e626 100644 --- a/docs/_build/html/readme.html +++ b/docs/_build/html/readme.html @@ -1,139 +1,139 @@ - - - - - - - antenna-intensity-modeler — antenna-intensity-modeler 0.1.1 documentation - - - - - - - - - - - - - - -
      -
      -
      -
      - -
      -

      antenna-intensity-modeler

      -https://img.shields.io/pypi/v/antenna_intensity_modeler.svg -Build status on travis-ci -Build status on Appveyor -Updates -

      Create near-field plots of parabolic dish antennas.

      - -
      -

      Installation:

      -
      $ pip install antenna-intensity-modeler
-
      -
      -
      -
      -

      Features

      -
        -

      • TODO

        • -
      -
      -
      -

      Credits

      -

      This package was created with Cookiecutter and the wboxx1/cookiecutter-pypackage project template.

      -
      -
      - - -
      -
      -
      - -
      -
      - - - + + + + + + + antenna-intensity-modeler — antenna-intensity-modeler 0.1.1 documentation + + + + + + + + + + + + + + +
      +
      +
      +
      + +
      +

      antenna-intensity-modeler

      +https://img.shields.io/pypi/v/antenna_intensity_modeler.svg +Build status on travis-ci +Build status on Appveyor +Updates +

      Create near-field plots of parabolic dish antennas.

      + +
      +

      Installation:

      +
      $ pip install antenna-intensity-modeler
+
      +
      +
      +
      +

      Features

      +
        +

      • TODO

        • +
      +
      +
      +

      Credits

      +

      This package was created with Cookiecutter and the wboxx1/cookiecutter-pypackage project template.

      +
      +
      + + +
      +
      +
      + +
      +
      + + + \ No newline at end of file diff --git a/docs/_build/html/search.html b/docs/_build/html/search.html index afcad02..11225bf 100644 --- a/docs/_build/html/search.html +++ b/docs/_build/html/search.html @@ -1,91 +1,91 @@ - - - - - - - Search — antenna-intensity-modeler 0.1.1 documentation - - - - - - - - - - - - - - - - - -
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      -
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      Usage

      -

      To use antenna-intensity-modeler in a project:

      -
      import antenna_intensity_modeler
-
      -
      -
      - - -
      -
      -
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      - - - + + + + + + + Usage — antenna-intensity-modeler 0.1.1 documentation + + + + + + + + + + + + + + +
      +
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      +

      Usage

      +

      To use antenna-intensity-modeler in a project:

      +
      import antenna_intensity_modeler
+
      +
      +
      + + +
      +
      +
      + +
      +
      + + + \ No newline at end of file diff --git a/docs/antenna_intensity_modeler.rst b/docs/antenna_intensity_modeler.rst index 57ada4d..21b9e21 100644 --- a/docs/antenna_intensity_modeler.rst +++ b/docs/antenna_intensity_modeler.rst @@ -1,30 +1,30 @@ -antenna\_intensity\_modeler package -=================================== - -Submodules ----------- - -antenna\_intensity\_modeler.cli module --------------------------------------- - -.. automodule:: antenna_intensity_modeler.cli - :members: - :undoc-members: - :show-inheritance: - -antenna\_intensity\_modeler.parabolic module --------------------------------------------- - -.. automodule:: antenna_intensity_modeler.parabolic - :members: - :undoc-members: - :show-inheritance: - - -Module contents ---------------- - -.. automodule:: antenna_intensity_modeler - :members: - :undoc-members: - :show-inheritance: +antenna\_intensity\_modeler package +=================================== + +Submodules +---------- + +antenna\_intensity\_modeler.cli module +-------------------------------------- + +.. automodule:: antenna_intensity_modeler.cli + :members: + :undoc-members: + :show-inheritance: + +antenna\_intensity\_modeler.parabolic module +-------------------------------------------- + +.. automodule:: antenna_intensity_modeler.parabolic + :members: + :undoc-members: + :show-inheritance: + + +Module contents +--------------- + +.. automodule:: antenna_intensity_modeler + :members: + :undoc-members: + :show-inheritance: diff --git a/docs/authors.rst b/docs/authors.rst index e122f91..426bac5 100644 --- a/docs/authors.rst +++ b/docs/authors.rst @@ -1 +1 @@ -.. include:: ../AUTHORS.rst +.. include:: ../AUTHORS.rst diff --git a/docs/conf.py b/docs/conf.py index 244abff..2b28525 100644 --- a/docs/conf.py +++ b/docs/conf.py @@ -1,163 +1,163 @@ -#!/usr/bin/env python -# -*- coding: utf-8 -*- -# -# antenna_intensity_modeler documentation build configuration file, created by -# sphinx-quickstart on Fri Jun 9 13:47:02 2017. -# -# This file is execfile()d with the current directory set to its -# containing dir. -# -# Note that not all possible configuration values are present in this -# autogenerated file. -# -# All configuration values have a default; values that are commented out -# serve to show the default. - -# If extensions (or modules to document with autodoc) are in another -# directory, add these directories to sys.path here. If the directory is -# relative to the documentation root, use os.path.abspath to make it -# absolute, like shown here. -# -import os -import sys -sys.path.insert(0, os.path.abspath('../src/')) - -import antenna_intensity_modeler - -# -- General configuration --------------------------------------------- - -# If your documentation needs a minimal Sphinx version, state it here. -# -# needs_sphinx = '1.0' - -# Add any Sphinx extension module names here, as strings. They can be -# extensions coming with Sphinx (named 'sphinx.ext.*') or your custom ones. -extensions = ['sphinx.ext.autodoc', 'sphinx.ext.viewcode'] - -# Add any paths that contain templates here, relative to this directory. -templates_path = ['_templates'] - -# The suffix(es) of source filenames. -# You can specify multiple suffix as a list of string: -# -# source_suffix = ['.rst', '.md'] -source_suffix = '.rst' - -# The master toctree document. -master_doc = 'index' - -# General information about the project. -project = u'antenna-intensity-modeler' -copyright = u"2018, Will Boxx" -author = u"Will Boxx" - -# The version info for the project you're documenting, acts as replacement -# for |version| and |release|, also used in various other places throughout -# the built documents. -# -# The short X.Y version. -version = antenna_intensity_modeler.__version__ -# The full version, including alpha/beta/rc tags. -release = antenna_intensity_modeler.__version__ - -# The language for content autogenerated by Sphinx. Refer to documentation -# for a list of supported languages. -# -# This is also used if you do content translation via gettext catalogs. -# Usually you set "language" from the command line for these cases. -language = None - -# List of patterns, relative to source directory, that match files and -# directories to ignore when looking for source files. -# This patterns also effect to html_static_path and html_extra_path -exclude_patterns = ['_build', 'Thumbs.db', '.DS_Store'] - -# The name of the Pygments (syntax highlighting) style to use. -pygments_style = 'sphinx' - -# If true, `todo` and `todoList` produce output, else they produce nothing. -todo_include_todos = False - - -# -- Options for HTML output ------------------------------------------- - -# The theme to use for HTML and HTML Help pages. See the documentation for -# a list of builtin themes. -# -html_theme = 'nature' - -# Theme options are theme-specific and customize the look and feel of a -# theme further. For a list of options available for each theme, see the -# documentation. -# -# html_theme_options = {} - -# Add any paths that contain custom static files (such as style sheets) here, -# relative to this directory. They are copied after the builtin static files, -# so a file named "default.css" will overwrite the builtin "default.css". -html_static_path = ['_static'] - - -# -- Options for HTMLHelp output --------------------------------------- - -# Output file base name for HTML help builder. -htmlhelp_basename = 'antenna_intensity_modelerdoc' - - -# -- Options for LaTeX output ------------------------------------------ - -latex_elements = { - # The paper size ('letterpaper' or 'a4paper'). - # - # 'papersize': 'letterpaper', - - # The font size ('10pt', '11pt' or '12pt'). - # - # 'pointsize': '10pt', - - # Additional stuff for the LaTeX preamble. - # - # 'preamble': '', - - # Latex figure (float) alignment - # - # 'figure_align': 'htbp', -} - -# Grouping the document tree into LaTeX files. List of tuples -# (source start file, target name, title, author, documentclass -# [howto, manual, or own class]). -latex_documents = [ - (master_doc, 'antenna_intensity_modeler.tex', - u'antenna-intensity-modeler Documentation', - u'Will Boxx', 'manual'), -] - - -# -- Options for manual page output ------------------------------------ - -# One entry per manual page. List of tuples -# (source start file, name, description, authors, manual section). -man_pages = [ - (master_doc, 'antenna_intensity_modeler', - u'antenna-intensity-modeler Documentation', - [author], 1) -] - - -# -- Options for Texinfo output ---------------------------------------- - -# Grouping the document tree into Texinfo files. List of tuples -# (source start file, target name, title, author, -# dir menu entry, description, category) -texinfo_documents = [ - (master_doc, 'antenna_intensity_modeler', - u'antenna-intensity-modeler Documentation', - author, - 'antenna_intensity_modeler', - 'One line description of project.', - 'Miscellaneous'), -] - - - +#!/usr/bin/env python +# -*- coding: utf-8 -*- +# +# antenna_intensity_modeler documentation build configuration file, created by +# sphinx-quickstart on Fri Jun 9 13:47:02 2017. +# +# This file is execfile()d with the current directory set to its +# containing dir. +# +# Note that not all possible configuration values are present in this +# autogenerated file. +# +# All configuration values have a default; values that are commented out +# serve to show the default. + +# If extensions (or modules to document with autodoc) are in another +# directory, add these directories to sys.path here. If the directory is +# relative to the documentation root, use os.path.abspath to make it +# absolute, like shown here. +# +import os +import sys +sys.path.insert(0, os.path.abspath('../src/')) + +import antenna_intensity_modeler + +# -- General configuration --------------------------------------------- + +# If your documentation needs a minimal Sphinx version, state it here. +# +# needs_sphinx = '1.0' + +# Add any Sphinx extension module names here, as strings. They can be +# extensions coming with Sphinx (named 'sphinx.ext.*') or your custom ones. +extensions = ['sphinx.ext.autodoc', 'sphinx.ext.viewcode'] + +# Add any paths that contain templates here, relative to this directory. +templates_path = ['_templates'] + +# The suffix(es) of source filenames. +# You can specify multiple suffix as a list of string: +# +# source_suffix = ['.rst', '.md'] +source_suffix = '.rst' + +# The master toctree document. +master_doc = 'index' + +# General information about the project. +project = u'antenna-intensity-modeler' +copyright = u"2018, Will Boxx" +author = u"Will Boxx" + +# The version info for the project you're documenting, acts as replacement +# for |version| and |release|, also used in various other places throughout +# the built documents. +# +# The short X.Y version. +version = antenna_intensity_modeler.__version__ +# The full version, including alpha/beta/rc tags. +release = antenna_intensity_modeler.__version__ + +# The language for content autogenerated by Sphinx. Refer to documentation +# for a list of supported languages. +# +# This is also used if you do content translation via gettext catalogs. +# Usually you set "language" from the command line for these cases. +language = None + +# List of patterns, relative to source directory, that match files and +# directories to ignore when looking for source files. +# This patterns also effect to html_static_path and html_extra_path +exclude_patterns = ['_build', 'Thumbs.db', '.DS_Store'] + +# The name of the Pygments (syntax highlighting) style to use. +pygments_style = 'sphinx' + +# If true, `todo` and `todoList` produce output, else they produce nothing. +todo_include_todos = False + + +# -- Options for HTML output ------------------------------------------- + +# The theme to use for HTML and HTML Help pages. See the documentation for +# a list of builtin themes. +# +html_theme = 'nature' + +# Theme options are theme-specific and customize the look and feel of a +# theme further. For a list of options available for each theme, see the +# documentation. +# +# html_theme_options = {} + +# Add any paths that contain custom static files (such as style sheets) here, +# relative to this directory. They are copied after the builtin static files, +# so a file named "default.css" will overwrite the builtin "default.css". +html_static_path = ['_static'] + + +# -- Options for HTMLHelp output --------------------------------------- + +# Output file base name for HTML help builder. +htmlhelp_basename = 'antenna_intensity_modelerdoc' + + +# -- Options for LaTeX output ------------------------------------------ + +latex_elements = { + # The paper size ('letterpaper' or 'a4paper'). + # + # 'papersize': 'letterpaper', + + # The font size ('10pt', '11pt' or '12pt'). + # + # 'pointsize': '10pt', + + # Additional stuff for the LaTeX preamble. + # + # 'preamble': '', + + # Latex figure (float) alignment + # + # 'figure_align': 'htbp', +} + +# Grouping the document tree into LaTeX files. List of tuples +# (source start file, target name, title, author, documentclass +# [howto, manual, or own class]). +latex_documents = [ + (master_doc, 'antenna_intensity_modeler.tex', + u'antenna-intensity-modeler Documentation', + u'Will Boxx', 'manual'), +] + + +# -- Options for manual page output ------------------------------------ + +# One entry per manual page. List of tuples +# (source start file, name, description, authors, manual section). +man_pages = [ + (master_doc, 'antenna_intensity_modeler', + u'antenna-intensity-modeler Documentation', + [author], 1) +] + + +# -- Options for Texinfo output ---------------------------------------- + +# Grouping the document tree into Texinfo files. List of tuples +# (source start file, target name, title, author, +# dir menu entry, description, category) +texinfo_documents = [ + (master_doc, 'antenna_intensity_modeler', + u'antenna-intensity-modeler Documentation', + author, + 'antenna_intensity_modeler', + 'One line description of project.', + 'Miscellaneous'), +] + + + diff --git a/docs/contributing.rst b/docs/contributing.rst index e582053..819f45e 100644 --- a/docs/contributing.rst +++ b/docs/contributing.rst @@ -1 +1 @@ -.. include:: ../CONTRIBUTING.rst +.. include:: ../CONTRIBUTING.rst diff --git a/docs/history.rst b/docs/history.rst index 2506499..e4e52cc 100644 --- a/docs/history.rst +++ b/docs/history.rst @@ -1 +1 @@ -.. include:: ../HISTORY.rst +.. include:: ../HISTORY.rst diff --git a/docs/index.rst b/docs/index.rst index 52b4541..2593765 100644 --- a/docs/index.rst +++ b/docs/index.rst @@ -1,20 +1,20 @@ -Welcome to antenna-intensity-modeler's documentation! -====================================== - -.. toctree:: - :maxdepth: 2 - :caption: Contents: - - readme - installation - usage - modules - contributing - authors - history - -Indices and tables -================== -* :ref:`genindex` -* :ref:`modindex` -* :ref:`search` +Welcome to antenna-intensity-modeler's documentation! +====================================== + +.. toctree:: + :maxdepth: 2 + :caption: Contents: + + readme + installation + usage + modules + contributing + authors + history + +Indices and tables +================== +* :ref:`genindex` +* :ref:`modindex` +* :ref:`search` diff --git a/docs/installation.rst b/docs/installation.rst index 9442563..2af720b 100644 --- a/docs/installation.rst +++ b/docs/installation.rst @@ -1,51 +1,51 @@ -.. highlight:: shell - -============ -Installation -============ - - -Stable release --------------- - -To install antenna-intensity-modeler, run this command in your terminal: - -.. code-block:: console - - $ pip install antenna-intensity-modeler - -This is the preferred method to install antenna-intensity-modeler, as it will always install the most recent stable release. - -If you don't have `pip`_ installed, this `Python installation guide`_ can guide -you through the process. - -.. _pip: https://pip.pypa.io -.. _Python installation guide: http://docs.python-guide.org/en/latest/starting/installation/ - - -From sources ------------- - -The sources for antenna-intensity-modeler can be downloaded from the `Github repo`_. - -You can either clone the public repository: - -.. code-block:: console - - $ git clone git://github.com/wboxx1/antenna-intensity-modeler - -Or download the `tarball`_: - -.. code-block:: console - - $ curl -OL https://github.com/wboxx1/antenna-intensity-modeler/tarball/master - -Once you have a copy of the source, you can install into poetry virtual environment with: - -.. code-block:: console - - $ poetry install - - -.. _Github repo: https://github.com/wboxx1/antenna-intensity-modeler -.. _tarball: https://github.com/wboxx1/antenna-intensity-modeler/tarball/master +.. highlight:: shell + +============ +Installation +============ + + +Stable release +-------------- + +To install antenna-intensity-modeler, run this command in your terminal: + +.. code-block:: console + + $ pip install antenna-intensity-modeler + +This is the preferred method to install antenna-intensity-modeler, as it will always install the most recent stable release. + +If you don't have `pip`_ installed, this `Python installation guide`_ can guide +you through the process. + +.. _pip: https://pip.pypa.io +.. _Python installation guide: http://docs.python-guide.org/en/latest/starting/installation/ + + +From sources +------------ + +The sources for antenna-intensity-modeler can be downloaded from the `Github repo`_. + +You can either clone the public repository: + +.. code-block:: console + + $ git clone git://github.com/wboxx1/antenna-intensity-modeler + +Or download the `tarball`_: + +.. code-block:: console + + $ curl -OL https://github.com/wboxx1/antenna-intensity-modeler/tarball/master + +Once you have a copy of the source, you can install into poetry virtual environment with: + +.. code-block:: console + + $ poetry install + + +.. _Github repo: https://github.com/wboxx1/antenna-intensity-modeler +.. _tarball: https://github.com/wboxx1/antenna-intensity-modeler/tarball/master diff --git a/docs/make.bat b/docs/make.bat index faad803..f448a97 100644 --- a/docs/make.bat +++ b/docs/make.bat @@ -1,36 +1,36 @@ -@ECHO OFF - -pushd %~dp0 - -REM Command file for Sphinx documentation - -if "%SPHINXBUILD%" == "" ( - set SPHINXBUILD=python -msphinx -) -set SOURCEDIR=. -set BUILDDIR=_build -set SPHINXPROJ=antenna_intensity_modeler - -if "%1" == "" goto help - -%SPHINXBUILD% >NUL 2>NUL -if errorlevel 9009 ( - echo. - echo.The Sphinx module was not found. Make sure you have Sphinx installed, - echo.then set the SPHINXBUILD environment variable to point to the full - echo.path of the 'sphinx-build' executable. Alternatively you may add the - echo.Sphinx directory to PATH. - echo. - echo.If you don't have Sphinx installed, grab it from - echo.http://sphinx-doc.org/ - exit /b 1 -) - -%SPHINXBUILD% -M %1 %SOURCEDIR% %BUILDDIR% %SPHINXOPTS% -goto end - -:help -%SPHINXBUILD% -M help %SOURCEDIR% %BUILDDIR% %SPHINXOPTS% - -:end -popd +@ECHO OFF + +pushd %~dp0 + +REM Command file for Sphinx documentation + +if "%SPHINXBUILD%" == "" ( + set SPHINXBUILD=python -msphinx +) +set SOURCEDIR=. +set BUILDDIR=_build +set SPHINXPROJ=antenna_intensity_modeler + +if "%1" == "" goto help + +%SPHINXBUILD% >NUL 2>NUL +if errorlevel 9009 ( + echo. + echo.The Sphinx module was not found. Make sure you have Sphinx installed, + echo.then set the SPHINXBUILD environment variable to point to the full + echo.path of the 'sphinx-build' executable. Alternatively you may add the + echo.Sphinx directory to PATH. + echo. + echo.If you don't have Sphinx installed, grab it from + echo.http://sphinx-doc.org/ + exit /b 1 +) + +%SPHINXBUILD% -M %1 %SOURCEDIR% %BUILDDIR% %SPHINXOPTS% +goto end + +:help +%SPHINXBUILD% -M help %SOURCEDIR% %BUILDDIR% %SPHINXOPTS% + +:end +popd diff --git a/docs/modules.rst b/docs/modules.rst index 04ddd41..219e062 100644 --- a/docs/modules.rst +++ b/docs/modules.rst @@ -1,7 +1,7 @@ -antenna_intensity_modeler -========================= - -.. toctree:: - :maxdepth: 4 - - antenna_intensity_modeler +antenna_intensity_modeler +========================= + +.. toctree:: + :maxdepth: 4 + + antenna_intensity_modeler diff --git a/docs/readme.rst b/docs/readme.rst index 72a3355..de17838 100644 --- a/docs/readme.rst +++ b/docs/readme.rst @@ -1 +1 @@ -.. include:: ../README.rst +.. include:: ../README.rst diff --git a/docs/usage.rst b/docs/usage.rst index fb5a2b4..8c97416 100644 --- a/docs/usage.rst +++ b/docs/usage.rst @@ -1,7 +1,7 @@ -===== -Usage -===== - -To use antenna-intensity-modeler in a project:: - - import antenna_intensity_modeler +===== +Usage +===== + +To use antenna-intensity-modeler in a project:: + + import antenna_intensity_modeler diff --git a/make.ps1 b/make.ps1 index d2739a2..2a5240b 100644 --- a/make.ps1 +++ b/make.ps1 @@ -1,204 +1,204 @@ - -###################3 -[CmdletBinding()] -Param( - [Parameter(Mandatory = $True, Position = 1)] - [string]$command -) - -$Script:BROWSER_PYSCRIPT = " -import os, webbrowser, sys - -try: - from urllib import pathname2url -except: - from urllib.request import pathname2url - -webbrowser.open(""file://"" + pathname2url(os.path.abspath(sys.argv[1]))) -" -$Script:PRINT_HELP_PYSCRIPT = " -import re, sys - -for line in sys.stdin: - match = re.match(r'^([a-zA-Z_-]+):.*?## (.*)$$', line) - if match: - target, help = match.groups() - print(""%-20s %s"" % (target, help)) -" - -function help() { - Get-Help -Name "make" -# @python -c "$$PRINT_HELP_PYSCRIPT" < $(MAKEFILE_LIST) -} - -<# -.Description -Make file for antenna-intensity-modeler -#> -function make($command) { - -} - -<# -.Description -Remove all build, test, coverage and Python artifacts -#> -function clean() { - cleanBuild - cleanPyc - cleanTest -} - -<# -.Description -Remove build artifacts -#> -function cleanBuild() { - $paths = @(".\build", ".\dist", ".\.eggs", ".\*.egg-info", ".\*.egg") - foreach ($path in $paths) { - if (Test-Path $path) - { - Remove-Item $path -Recurse - } - } -} - -<# -.Description -Remove Python file artifacts -#> -function cleanPyc() { - $paths = @(".\*.pyc", ".\*.pyc", ".\*.pyo", ".\*~", ".\__pycache__") - foreach ($path in $paths) { - if (Test-Path $path) - { - Remove-Item $path -Recurse - } - } -} - -<# -.Description -Remove test and coverage artifacts -#> -function cleanTest() { - $paths = @(".\.tox", ".\.coverage", ".\.htmlcov", ".\.pytest_cache") - foreach ($path in $paths) { - if (Test-Path $path) - { - Remove-Item $path -Recurse - } - } -} - -<# -.Description -Check style with flake8 -#> -function lint() { - poetry run flake8 src\antenna_intensity_modeler tests -} - -<# -.Description -Run tests quickly with the default Python -#> -function test() { - poetry run pytest .\tests -} - -<# -.Description -Run tests on every Python version with tox -#> -function testAll() { - poetry run tox -} - -<# -.Description -Check code coverage quickly with the default Python -#> -function coverage() { - poetry run coverage run --source src/antenna_intensity_modeler -m pytest - poetry run coverage report -m - poetry run coverage html - poetry run python -c $Script:BROWSER_PYSCRIPT(htmlcov\index.html) -} - -<# -Generate Sphinx HTML documentation, including API docs -#> -function docs(){ - if (Test-Path ".\docs\antenna_intensity_modeler.rst") { Remove-Item ".\docs\antenna_intensity_modeler.rst" -Force } - if (Test-Path ".\docs\modules.rst") { Remove-Item ".\docs\modules.rst" -Force } - poetry run sphinx-apidoc -o docs\ .\src\antenna_intensity_modeler - poetry run .\docs\make.bat clean - poetry run .\docs\make.bat html - poetry run python $Script:BROWSER_PYSCRIPT(.\docs\_build\html\index.html) -} - -<# -Compile the docs watching for changes -#> -function servedocs() { - docs - poetry run watchmedo shell-command -p "*.rst" -c "cd .\docs && make html" -R -D -} - -<# -Package and upload a release -#> -function release() { - dist - poetry publish -} - -<# -Builds source and wheel package -#> -function dist() { - clean - poetry build -} - -<# -Install the package to the active Python's site-packages -#> -function install() { - clean - poetry install -} - -function bumpversionMajor { - poetry run bump2version major -} - -function bumpversionMinor { - poetry run bump2version minor -} - -function bumpversionPatch { - poetry run bump2version patch -} - -switch ($command) { - install { install; break } - dist { dist; break } - release { release; break } - servedocs { servedocs; break } - docs { docs; break } - coverage { coverage; break } - test { test; break } - test-all { testAll; break } - lint { lint; break } - clean-test { cleanTest; break } - clean-pyc { cleanPyc; break } - clean-build { cleanBuild; break } - clean { clean; break } - help { help; break } - bumpversion-major { bumpversionMajor; break } - bumpversion-minor { bumpversionMinor; break } - bumpversion-patch { bumpversionPatch; break } - Default {} + +###################3 +[CmdletBinding()] +Param( + [Parameter(Mandatory = $True, Position = 1)] + [string]$command +) + +$Script:BROWSER_PYSCRIPT = " +import os, webbrowser, sys + +try: + from urllib import pathname2url +except: + from urllib.request import pathname2url + +webbrowser.open(""file://"" + pathname2url(os.path.abspath(sys.argv[1]))) +" +$Script:PRINT_HELP_PYSCRIPT = " +import re, sys + +for line in sys.stdin: + match = re.match(r'^([a-zA-Z_-]+):.*?## (.*)$$', line) + if match: + target, help = match.groups() + print(""%-20s %s"" % (target, help)) +" + +function help() { + Get-Help -Name "make" +# @python -c "$$PRINT_HELP_PYSCRIPT" < $(MAKEFILE_LIST) +} + +<# +.Description +Make file for antenna-intensity-modeler +#> +function make($command) { + +} + +<# +.Description +Remove all build, test, coverage and Python artifacts +#> +function clean() { + cleanBuild + cleanPyc + cleanTest +} + +<# +.Description +Remove build artifacts +#> +function cleanBuild() { + $paths = @(".\build", ".\dist", ".\.eggs", ".\*.egg-info", ".\*.egg") + foreach ($path in $paths) { + if (Test-Path $path) + { + Remove-Item $path -Recurse + } + } +} + +<# +.Description +Remove Python file artifacts +#> +function cleanPyc() { + $paths = @(".\*.pyc", ".\*.pyc", ".\*.pyo", ".\*~", ".\__pycache__") + foreach ($path in $paths) { + if (Test-Path $path) + { + Remove-Item $path -Recurse + } + } +} + +<# +.Description +Remove test and coverage artifacts +#> +function cleanTest() { + $paths = @(".\.tox", ".\.coverage", ".\.htmlcov", ".\.pytest_cache") + foreach ($path in $paths) { + if (Test-Path $path) + { + Remove-Item $path -Recurse + } + } +} + +<# +.Description +Check style with flake8 +#> +function lint() { + poetry run flake8 src\antenna_intensity_modeler tests +} + +<# +.Description +Run tests quickly with the default Python +#> +function test() { + poetry run pytest .\tests +} + +<# +.Description +Run tests on every Python version with tox +#> +function testAll() { + poetry run tox +} + +<# +.Description +Check code coverage quickly with the default Python +#> +function coverage() { + poetry run coverage run --source src/antenna_intensity_modeler -m pytest + poetry run coverage report -m + poetry run coverage html + poetry run python -c $Script:BROWSER_PYSCRIPT(htmlcov\index.html) +} + +<# +Generate Sphinx HTML documentation, including API docs +#> +function docs(){ + if (Test-Path ".\docs\antenna_intensity_modeler.rst") { Remove-Item ".\docs\antenna_intensity_modeler.rst" -Force } + if (Test-Path ".\docs\modules.rst") { Remove-Item ".\docs\modules.rst" -Force } + poetry run sphinx-apidoc -o docs\ .\src\antenna_intensity_modeler + poetry run .\docs\make.bat clean + poetry run .\docs\make.bat html + poetry run python $Script:BROWSER_PYSCRIPT(.\docs\_build\html\index.html) +} + +<# +Compile the docs watching for changes +#> +function servedocs() { + docs + poetry run watchmedo shell-command -p "*.rst" -c "cd .\docs && make html" -R -D +} + +<# +Package and upload a release +#> +function release() { + dist + poetry publish +} + +<# +Builds source and wheel package +#> +function dist() { + clean + poetry build +} + +<# +Install the package to the active Python's site-packages +#> +function install() { + clean + poetry install +} + +function bumpversionMajor { + poetry run bump2version major +} + +function bumpversionMinor { + poetry run bump2version minor +} + +function bumpversionPatch { + poetry run bump2version patch +} + +switch ($command) { + install { install; break } + dist { dist; break } + release { release; break } + servedocs { servedocs; break } + docs { docs; break } + coverage { coverage; break } + test { test; break } + test-all { testAll; break } + lint { lint; break } + clean-test { cleanTest; break } + clean-pyc { cleanPyc; break } + clean-build { cleanBuild; break } + clean { clean; break } + help { help; break } + bumpversion-major { bumpversionMajor; break } + bumpversion-minor { bumpversionMinor; break } + bumpversion-patch { bumpversionPatch; break } + Default {} } \ No newline at end of file diff --git a/poetry.lock b/poetry.lock index e83c29b..c9e531b 100644 --- a/poetry.lock +++ b/poetry.lock @@ -1,737 +1,737 @@ -[[package]] -category = "dev" -description = "A configurable sidebar-enabled Sphinx theme" -name = "alabaster" -optional = false -python-versions = "*" -version = "0.7.12" - -[[package]] -category = "dev" -description = "An unobtrusive argparse wrapper with natural syntax" -name = "argh" -optional = false -python-versions = "*" -version = "0.26.2" - -[[package]] -category = "dev" 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["120732cbddb1b2364471c3d9f8bfd4b0c5b550862f99a65736c77f970b142aea", "b348790776490894e0424101af9c8413f2a86831524bd55c5f379d3e3e12ca64"] +sphinxcontrib-websupport = ["68ca7ff70785cbe1e7bccc71a48b5b6d965d79ca50629606c7861a21b206d9dd", "9de47f375baf1ea07cdb3436ff39d7a9c76042c10a769c52353ec46e4e8fc3b9"] +toml = ["229f81c57791a41d65e399fc06bf0848bab550a9dfd5ed66df18ce5f05e73d5c", "235682dd292d5899d361a811df37e04a8828a5b1da3115886b73cf81ebc9100e", "f1db651f9657708513243e61e6cc67d101a39bad662eaa9b5546f789338e07a3"] +tox = ["21e772c4de94afd9240d1a4b2c009c94bea08d3230377ab23c3153efaea361f7", "304177defdcb403d84aeb0400b1625b1e65a7fff19f0441329f9f76ebf67882f"] +tqdm = ["3c4d4a5a41ef162dd61f1edb86b0e1c7859054ab656b2e7c7b77e7fbf6d9f392", "5b4d5549984503050883bc126280b386f5f4ca87e6c023c5d015655ad75bdebb"] +twine = ["7d89bc6acafb31d124e6e5b295ef26ac77030bf098960c2a4c4e058335827c5c", "fad6f1251195f7ddd1460cb76d6ea106c93adb4e56c41e0da79658e56e547d2c"] +urllib3 = ["61bf29cada3fc2fbefad4fdf059ea4bd1b4a86d2b6d15e1c7c0b582b9752fe39", "de9529817c93f27c8ccbfead6985011db27bd0ddfcdb2d86f3f663385c6a9c22"] +virtualenv = ["686176c23a538ecc56d27ed9d5217abd34644823d6391cbeb232f42bf722baad", "f899fafcd92e1150f40c8215328be38ff24b519cd95357fa6e78e006c7638208"] +watchdog = ["965f658d0732de3188211932aeb0bb457587f04f63ab4c1e33eab878e9de961d"] +wcwidth = ["3df37372226d6e63e1b1e1eda15c594bca98a22d33a23832a90998faa96bc65e", "f4ebe71925af7b40a864553f761ed559b43544f8f71746c2d756c7fe788ade7c"] +webencodings = ["a0af1213f3c2226497a97e2b3aa01a7e4bee4f403f95be16fc9acd2947514a78", "b36a1c245f2d304965eb4e0a82848379241dc04b865afcc4aab16748587e1923"] +wheel = ["029703bf514e16c8271c3821806a1c171220cc5bdd325cbf4e7da1e056a01db6", "1e53cdb3f808d5ccd0df57f964263752aa74ea7359526d3da6c02114ec1e1d44"] diff --git a/pyproject.toml b/pyproject.toml index 0d3f2c1..33ab721 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -1,52 +1,52 @@ -[tool.poetry] -name = "antenna-intensity-modeler" -version = "0.1.1" -description = "Create near-field plots of parabolic dish antennas." -authors = ["Will Boxx "] -license = "GNU General Public License v3" - -readme = "README.rst" - -repository = "https://github.com/wboxx1/antenna-intensity-modeler" - -homepage = "https://wboxx1.github.io/antenna-intensity-modeler" - -packages = [ - { include = "antenna_intensity_modeler", from = "src"}, -] - -classifiers = [ - "Development Status :: 2 - Pre-Alpha", - "Intended Audience :: Developers", - "Natural Language :: English", - "Programming Language :: Python :: 3", - "Programming Language :: Python :: 3.4", - "Programming Language :: Python :: 3.5", - "Programming Language :: Python :: 3.6", - "Programming Language :: Python :: 3.7", -] -[tool.poetry.dependencies] -# List project dependencies here -python = "^3.5" -numpy = "^1.15" -pandas = "^0.23" -scipy = "^1.1" -matplotlib = "^3.0" -click = "^7.0" - -[tool.poetry.dev-dependencies] -bump2version = "^0.5.0" -pip = "^18.1" -wheel = "^0.32.1" -watchdog = "^0.9.0" -flake8 = "^3.5.0" -tox = "^3.5.2" -coverage = "^4.5.1" -Sphinx = "^1.8.1" -twine = "^1.12.1" -pytest = "^3.8.2" -pytest-runner = "^4.2" -pytest-cov = "^2.6.0" -setuptools = "^40.5.0" -rstcheck = "^3.3.1" -ptpython = "^2.0.4" +[tool.poetry] +name = "antenna-intensity-modeler" +version = "0.1.1" +description = "Create near-field plots of parabolic dish antennas." +authors = ["Will Boxx "] +license = "GNU General Public License v3" + +readme = "README.rst" + +repository = "https://github.com/wboxx1/antenna-intensity-modeler" + +homepage = "https://wboxx1.github.io/antenna-intensity-modeler" + +packages = [ + { include = "antenna_intensity_modeler", from = "src"}, +] + +classifiers = [ + "Development Status :: 2 - Pre-Alpha", + "Intended Audience :: Developers", + "Natural Language :: English", + "Programming Language :: Python :: 3", + "Programming Language :: Python :: 3.4", + "Programming Language :: Python :: 3.5", + "Programming Language :: Python :: 3.6", + "Programming Language :: Python :: 3.7", +] +[tool.poetry.dependencies] +# List project dependencies here +python = "^3.5" +numpy = "^1.15" +pandas = "^0.23" +scipy = "^1.1" +matplotlib = "^3.0" +click = "^7.0" + +[tool.poetry.dev-dependencies] +bump2version = "^0.5.0" +pip = "^18.1" +wheel = "^0.32.1" +watchdog = "^0.9.0" +flake8 = "^3.5.0" +tox = "^3.5.2" +coverage = "^4.5.1" +Sphinx = "^1.8.1" +twine = "^1.12.1" +pytest = "^3.8.2" +pytest-runner = "^4.2" +pytest-cov = "^2.6.0" +setuptools = "^40.5.0" +rstcheck = "^3.3.1" +ptpython = "^2.0.4" diff --git a/setup.cfg b/setup.cfg index c6d461f..decf1ee 100644 --- a/setup.cfg +++ b/setup.cfg @@ -1,22 +1,22 @@ -[bumpversion] -current_version = 0.1.1 -commit = True -tag = True - -[metadata] -description-file = README.rst - -[bumpversion:file:pyproject.toml] -search = version = "{current_version}" -replace = version = "{new_version}" - -[bumpversion:file:src/antenna_intensity_modeler/__init__.py] -search = __version__ = "{current_version}" -replace = __version__ = "{new_version}" - -[bdist_wheel] -universal = 1 - -[flake8] -exclude = docs - +[bumpversion] +current_version = 0.1.1 +commit = True +tag = True + +[metadata] +description-file = README.rst + +[bumpversion:file:pyproject.toml] +search = version = "{current_version}" +replace = version = "{new_version}" + +[bumpversion:file:src/antenna_intensity_modeler/__init__.py] +search = __version__ = "{current_version}" +replace = __version__ = "{new_version}" + +[bdist_wheel] +universal = 1 + +[flake8] +exclude = docs + diff --git a/src/DARC.py b/src/DARC.py new file mode 100644 index 0000000..e6d0b20 --- /dev/null +++ b/src/DARC.py @@ -0,0 +1,153 @@ +from antenna_intensity_modeler import parabolic +import matplotlib.pyplot as plt +import numpy as np +import pandas as pd +from scipy.interpolate import make_interp_spline, BSpline + + +def my_interpolate(x, y, n): + x_new = np.linspace(min(x), max(x), n) + spl = make_interp_spline(x, y) + y_new = spl(x_new) + return x_new, y_new + + +params = parabolic.parameters(7.5, 3000, 312500, 0.71, 17.57) +ffmin = params[6] +C = 1e8 +freq_hz = 3000*1e6 +LAMDA = C / freq_hz + +fig, ax = plt.subplots() +_density = 100 +el_axis = 9 +degree = 5 +rotate = [ + [np.cos(degree * np.pi / 180), np.sin(degree * np.pi / 180)], + [-np.sin(degree * np.pi / 180), np.cos(degree * np.pi / 180)] +] + +# plot off axis limitation +x = np.linspace(0.01, 1.0, _density)*ffmin +y = [] +thetas = [] +for x_bar in x: + limit = 0. + theta = 0. + while limit < 0.08: + limit = (np.pi * 7.5**2) / (LAMDA * x_bar) * np.sin(theta * np.pi / 180.)**2 + theta += 0.5 + y.append(x_bar * np.tan(theta * np.pi / 180)) + thetas.append(theta) + +x, y = my_interpolate(x, y, _density * 10) +y_neg = [-x for x in y] +# ax.plot(x, y, x, y_neg) + +# rotate +top = np.dot(np.column_stack((x, y)), rotate) +bottom = np.dot(np.column_stack((x, y_neg)), rotate) + +# add elevation +top[:, 1] += el_axis +bottom[:, 1] += el_axis + +# plot +ax.plot(top[:, 0], top[:, 1], bottom[:, 0], bottom[:, 1]) +# limitation_lines = pd.DataFrame( +# np.column_stack((top[:, 0], top[:, 1], bottom[:, 0], bottom[:, 1])), +# columns=['top_x', 'top_y', 'bottom_x', 'bottom_y'] +# ) +# limitation_lines.to_csv('limitation_line_angle_{}.csv'.format(degree)) + +# penis plot +limits = [0.9]#, 38.2, 14.9, 128.4] +# limits = [10., 100.] +for limit in limits: + table = parabolic.hazard_plot(params, limit, xbar_max=15, density=_density, gain_boost=6) + _x = table['range'] + _y = table['positives'] + # _y_neg = table['negatives'] + # smooth + _x, _y = my_interpolate(_x, _y, _density * 10) + _y_neg = [-x for x in _y] + # rotate + top = np.dot(np.column_stack((_x, _y)), rotate) + bottom = np.dot(np.column_stack((_x, _y_neg)), rotate) + # add elevation + top[:, 1] += el_axis + bottom[:, 1] += el_axis + # plot + ax.plot(top[:, 0], top[:, 1], bottom[:, 0], bottom[:, 1]) + limit_lines = pd.DataFrame( + np.column_stack((top[:, 0], top[:, 1], bottom[:, 0], bottom[:, 1])), + columns=[ + '{}_top_x'.format(limit), + '{}_top_y'.format(limit), + '{}_bottom_x'.format(limit), + '{}_bottom_y'.format(limit)] + ) + limit_lines.to_csv('limit_line_{}_angle_{}.csv'.format(limit, degree)) + +ax.grid(True, which='both') +ax.minorticks_on() +# ax.set_title('Hazard Plot with limit: %s w/m^2' % limit) +ax.set_xlabel('Distance From Antenna(m)') +ax.set_ylabel('Off Axis Distance (m)') +ax.set_xlim([0, 2250]) +ax.set_ylim([-40, 40]) +# plot elevation axis +ax.plot(x, np.ones(len(x)) * el_axis) + +# fig.show() +plt.show() + +# D = 15 +# # xbars = [0*D, D/3, 2*D/3, D, 4*D/3, 5*D/3, 2*D, 7*D/3, 8*D/3] +# # xbars = np.arange(0,3.1,0.1) +# xbars = [0] +# fig, ax = plt.subplots() +# ax.set_xlim([0.01, 1.0]) +# ax.grid(True, which='both') +# ax.minorticks_on() +# ax.set_title('Relative Field Intensity') +# ax.set_xlabel('Normalized Z-axis distance') +# ax.set_ylabel('Relative Field Strength in dB') +# standard = 0 +# for xbar in xbars: +# table = parabolic.near_field_corrections(params, xbar) +# if xbar == 0: +# standard = table.Pcorr[0] +# ax.semilogx(table.delta, table.Pcorr) +# fig.show() + +# D = 15 +# fig, ax = plt.subplots() +# ax.set_xlim([0.01, 1.0]) +# ax.grid(True, which='both') +# ax.minorticks_on() +# ax.set_title('Relative Field Intensity') +# ax.set_xlabel('Normalized Z-axis distance') +# ax.set_ylabel('Relative Field Strength in dB') +# standard = 0 +# table = parabolic.test_method(params, 0) +# # for xbar in xbars: +# # table = parabolic.near_field_corrections(params, xbar) +# # if xbar == 0: +# # standard = table.Pcorr[0] +# # ax.semilogx(table.delta, table.Pcorr) +# ax.semilogx(table.delta, table.Pcorr) +# plt.show() + +# from matplotlib import cm +# from matplotlib.ticker import LinearLocator, FormatStrFormatter +# from mpl_toolkits.mplot3d import Axes3D +# # fig, ax = plt.subplots() +# fig = plt.figure() +# ax = fig.gca(projection='3d') +# X, Y, grid = parabolic.combined_hazard_plot(params, 0.1) +# surf = ax.plot_surface(X, Y, grid, cmap=cm.coolwarm, linewidth=0) +# fig.colorbar(surf, shrink=0.5, aspect=5) +# # cs = ax.contour(X, Y, grid) +# # ax.clabel(cs, inline=1, fontsize=-10) +# plt.show() \ No newline at end of file diff --git a/src/DARC2.py b/src/DARC2.py new file mode 100644 index 0000000..57421d7 --- /dev/null +++ b/src/DARC2.py @@ -0,0 +1,38 @@ +from antenna_intensity_modeler import parabolic +import matplotlib.pyplot as plt +import numpy as np +import pandas as pd +from scipy.interpolate import make_interp_spline, BSpline + + +def my_interpolate(x, y, n): + x_new = np.linspace(min(x), max(x), n) + spl = make_interp_spline(x, y) + y_new = spl(x_new) + return x_new, y_new + + +params = parabolic.parameters(7.5, 3000, 50000, 0.71, 17.57) +# params = parabolic.parameters(7.5, 3000, 50000, 0.71, 25) +ffmin = params[6] +C = 1e8 +freq_hz = 3000*1e6 +LAMDA = C / freq_hz + +fig, ax = plt.subplots() +# ax.set_xlim([0.01, 1.0]) +ax.grid(True, which='both') +ax.minorticks_on() +ax.set_title('Relative Field Intensity') +ax.set_xlabel('Normalized Z-axis distance') +ax.set_ylabel('Relative Field Strength in dB') +standard = 0 +table = parabolic.test_method(params, 0) +ax.plot(table.delta, table.Pcorr) +# xbars = np.arange(0,1.1,0.1) +# for xbar in xbars: +# table = parabolic.near_field_corrections(params, xbar) +# if xbar == 0: +# standard = table.Pcorr[0] +# ax.semilogx(table.delta, table.Pcorr / params[7] ) +plt.show() \ No newline at end of file diff --git a/src/DARC3.py b/src/DARC3.py new file mode 100644 index 0000000..ded2ff7 --- /dev/null +++ b/src/DARC3.py @@ -0,0 +1,131 @@ +from antenna_intensity_modeler import parabolic +import matplotlib.pyplot as plt +import numpy as np +import pandas as pd +from scipy.interpolate import make_interp_spline, BSpline + + +# def my_interpolate(x, y, n): +# x_new = np.linspace(min(x), max(x), n) +# spl = make_interp_spline(x, y) +# y_new = spl(x_new) +# return x_new, y_new + + +# params = parabolic.parameters(7.5, 3000, 50000, 0.71, 17.57) +# ffmin = params[6] +# C = 1e8 +# freq_hz = 3000*1e6 +# LAMDA = C / freq_hz + +# from matplotlib import cm +# from matplotlib.ticker import LinearLocator, FormatStrFormatter +# from mpl_toolkits.mplot3d import Axes3D +# # fig, ax = plt.subplots() +# fig = plt.figure() +# ax = fig.gca(projection='3d') +# X, Y, grid = parabolic.combined_hazard_plot(params, 0.1) +# surf = ax.plot_surface(X, Y, grid, cmap=cm.coolwarm, linewidth=0) +# fig.colorbar(surf, shrink=0.5, aspect=5) +# # cs = ax.contour(X, Y, grid) +# # ax.clabel(cs, inline=1, fontsize=-10) +# plt.show() +from LightPipes import * +import matplotlib.pyplot as plt + +txr_coord = [ + [-3 * 15, -7], + [-1 * 15, -7], + [-1 * 15, -7], + [1 * 15, -7], + [3 * 15, -7], + [3 * 15, -7] +] +GridSize = 150 * m +GridDimension = 150 +lambda_ = 0.1 * m # lambda_ is used because lambda is a Python build-in function. + +R = 7.5 * m # Radius of the aperture +yt = 5 * np.pi / 180 # tilt of the aperture + +field = Begin(GridSize, lambda_, GridDimension) +# field = CircScreen(R, txr_coord[0][0], txr_coord[0][1], field) +# field = CircScreen(R, txr_coord[1][0], txr_coord[1][1], field) +# field = CircScreen(R, txr_coord[2][0], txr_coord[2][1], field) +# field = CircScreen(R, txr_coord[3][0], txr_coord[3][1], field) +# field = CircScreen(R, txr_coord[4][0], txr_coord[4][1], field) +# field = CircScreen(R, txr_coord[5][0], txr_coord[5][1], field) + +f2 = CircAperture(R, txr_coord[1][0], txr_coord[1][1], field) +f5 = CircAperture(R, txr_coord[4][0], txr_coord[4][1], field) +field1 = BeamMix(f2, f5) +field1 = Tilt(0, -yt, field1) +# field = Fresnel(15, field) + +f1 = CircAperture(R, txr_coord[0][0], txr_coord[0][1], field) +f4 = CircAperture(R, txr_coord[3][0], txr_coord[3][1], field) +field2 = BeamMix(f1, f4) +field2 = Tilt(0, -yt, field2) +# field = Fresnel(15, field) + +f3 = CircAperture(R, txr_coord[2][0], txr_coord[2][1], field) +f6 = CircAperture(R, txr_coord[5][0], txr_coord[5][1], field) +field3 = BeamMix(f3, f6) +field3 = Tilt(0, -yt, field3) + +# field = BeamMix(BeamMix(BeamMix(BeamMix(BeamMix(f1, f2), f3), f4), f5), f6) +# field = Tilt(0, -yt, field) + +delta = range(40, 2260, 10) +pd_field = np.zeros((222, GridDimension)) +X = range(GridDimension) +Y = range(222) +X, Y = np.meshgrid(X,Y) +count = 0 +for d in delta: + new_field1 = Fresnel(d + 30, field1) + new_field2 = Fresnel(d + 15, field2) + new_field3 = Fresnel(d, field3) + new_field = BeamMix(BeamMix(new_field1, new_field2), new_field3) + + new_intensity = Intensity(1, new_field) + pd_field[count][:GridDimension] = new_intensity[68][:GridDimension] + count += 1 + +# field = Fresnel(2250, field) +# intensity = Intensity(0, field) +# X = range(GridDimension) +# Y = range(GridDimension) +# X, Y = np.meshgrid(X, Y) +# intensity = np.array(intensity) + +from matplotlib import cm +from matplotlib.ticker import LinearLocator, FormatStrFormatter +from mpl_toolkits.mplot3d import Axes3D +# fig, ax = plt.subplots() +fig = plt.figure() +ax = fig.gca(projection='3d') +# surf = ax.plot_surface(X, Y, intensity, cmap=cm.coolwarm, linewidth=0) +surf = ax.plot_surface(X, Y, pd_field, cmap=cm.coolwarm, linewidth=0) +fig.colorbar(surf, shrink=0.5, aspect=5) +# cs = ax.contour(X, Y, grid) +# ax.clabel(cs, inline=1, fontsize=-10) +plt.show() + +# x = [] +# for i in range(GridDimension): +# x.append((-GridSize * m / 2 + i * GridSize * m / GridDimension) / m) + +# fig = plt.figure(figsize=(15, 6)) +# ax1 = fig.add_subplot(121) +# ax2 = fig.add_subplot(122) +# ax1.imshow(intensity, cmap='rainbow') +# # ax1.axis('off') +# ax2.plot(x, intensity[128]) +# ax2.set_xlabel('x [mm]') +# ax2.set_ylabel('Intensity [a.u.]') +# ax2.grid('on') +# plt.show() + +# # plt.imshow(intensity) +# # plt.show() diff --git a/src/DARC4.py b/src/DARC4.py new file mode 100644 index 0000000..4195703 --- /dev/null +++ b/src/DARC4.py @@ -0,0 +1,114 @@ +from antenna_intensity_modeler import parabolic +import matplotlib.pyplot as plt +import numpy as np +import pandas as pd +from scipy.interpolate import make_interp_spline, BSpline +from LightPipes import * +from matplotlib import cm +from matplotlib.ticker import LinearLocator, FormatStrFormatter +from mpl_toolkits.mplot3d import Axes3D + + +def au_to_v_per_m(x): + # return [20*np.log10(x) for x in x] + return [20*np.log10((x * 5.1422e11)**2 / 377) for x in x] + + +def my_window(n, N): + window = np.zeros((N, 1)) + middle = int(N / 2) + window[middle] = 1 + count = 1 + if N % 2 == 0: + for a in np.linspace(0, 1, middle): + amp = (1 - a**2)**n + window[middle + count - 1] = amp + window[middle - count] = amp + count += 1 + else: + for a in np.linspace(0, 1, middle): + amp = (1 - a**2)**n + window[middle + count] = amp + window[middle - count] = amp + count += 1 + return window + + +GridSize = 360 * m +GridDimension = 3601 +middle = 1800 +lambda_ = 0.1 * m # lambda_ is used because lambda is a Python build-in function. + +R = 7.5 * m # Radius of the aperture + +wind = my_window(1, int(2 * R)) +w2D = np.dot(wind[:], wind[:].T) # % Outer product +pad = 1793 +w2D = np.pad(w2D, ((pad, pad), (pad, pad)), mode='constant') + +field = Begin(GridSize, lambda_, GridDimension) +# print(sum(sum(field))) +# field *= w2D +# field = MultIntensity(w2D, field) +# print(sum(sum(field))) + +# field = CircAperture(R, 0, 0, field) + +f = 4500 * m +# f1 = 45000 * m +# f2 = f1 * f / (f1 - f) +# field = Lens(f, 0, 0, field) +# field = LensFresnel(f, f, field) +# field = Convert(field) + +d = 4500 +field = CircAperture(R, 0, 0, field) +# field = Gain(1.0, 1e3, 1e3, field) +field = Lens(f, 0, 0, field) +field = Fresnel(d, field) +# field = Forvard(2250, field) +# field = Forward(2250, field) + +# A = lambda_ / 2 / np.pi +# field = Zernike(2, 0, R, A, field) +# field = CircAperture(R, 0, 0, field) + +# field = Fresnel(d, field) + +intensity = Intensity(0, field) +# intensity = [[x*31.5 for x in row] for row in intensity] +# intensity = [au_to_v_per_m(x) for x in intensity] +# X = range(GridDimension) +# Y = range(GridDimension) +# X, Y = np.meshgrid(X, Y) +# intensity = np.array(intensity) + +# fig, ax = plt.subplots() +# fig = plt.figure() +# ax = fig.gca(projection='3d') +# # surf = ax.plot_surface(X, Y, intensity, cmap=cm.coolwarm, linewidth=0) +# surf = ax.plot_surface(X, Y, pd_field, cmap=cm.coolwarm, linewidth=0) +# fig.colorbar(surf, shrink=0.5, aspect=5) +# # cs = ax.contour(X, Y, grid) +# # ax.clabel(cs, inline=1, fontsize=-10) +# plt.show() + +x = [] +for i in range(GridDimension): + x.append((-GridSize * m / 2 + i * GridSize * m / GridDimension) / m) + +x = [np.arctan(x / d) * 180 / np.pi for x in x] +fig = plt.figure(figsize=(15, 6)) +ax1 = fig.add_subplot(121) +ax2 = fig.add_subplot(122) +ax1.imshow(intensity, cmap='rainbow') +# ax1.axis('off') +# ax2.plot(x, 20*np.log10(intensity[middle])) +ax2.semilogy(x, intensity[middle]) +ax2.set_xlabel('x [m]') +ax2.set_ylabel('Intensity [a.u.]') +ax2.grid('on') +plt.show() + +# # plt.imshow(intensity) +# # plt.show() diff --git a/src/DARC5.py b/src/DARC5.py new file mode 100644 index 0000000..1b99fbe --- /dev/null +++ b/src/DARC5.py @@ -0,0 +1,51 @@ +from scipy import signal +from scipy.fftpack import fft2, fftshift +import numpy as np +import matplotlib.pyplot as plt + + +def my_window(n, N): + window = np.zeros((N, 1)) + middle = int(N / 2) + window[middle] = 1 + count = 1 + if N % 2 == 0: + for a in np.linspace(0, 1, middle): + amp = (1 - a**2)**n + window[middle + count - 1] = amp + window[middle - count] = amp + count += 1 + else: + for a in np.linspace(0, 1, middle): + amp = (1 - a**2)**n + window[middle + count] = amp + window[middle - count] = amp + count += 1 + return window + + +wind = my_window(1, 51) +plt.plot(wind) +plt.show() + +w1D = signal.hamming(51) # % Some 1D window +plt.plot(w1D) +plt.show() +w1D = w1D.reshape(51,1) +w2D = np.dot(wind[:], wind[:].T) # % Outer product +print(w2D.shape) +X, Y = np.meshgrid(range(51), range(51)) + + +from matplotlib import cm +from matplotlib.ticker import LinearLocator, FormatStrFormatter +from mpl_toolkits.mplot3d import Axes3D +# fig, ax = plt.subplots() +fig = plt.figure() +ax = fig.gca(projection='3d') +# surf = ax.plot_surface(X, Y, intensity, cmap=cm.coolwarm, linewidth=0) +surf = ax.plot_surface(X, Y, w2D, cmap=cm.coolwarm, linewidth=0) +fig.colorbar(surf, shrink=0.5, aspect=5) +# cs = ax.contour(X, Y, grid) +# ax.clabel(cs, inline=1, fontsize=-10) +plt.show() diff --git a/src/antenna_intensity_modeler/__init__.py b/src/antenna_intensity_modeler/__init__.py index 99fb372..4e816c9 100644 --- a/src/antenna_intensity_modeler/__init__.py +++ b/src/antenna_intensity_modeler/__init__.py @@ -1,7 +1,7 @@ -# -*- coding: utf-8 -*- - -"""Top-level package for antenna-intensity-modeler.""" - -__author__ = """Will Boxx""" -__email__ = "wboxx1@gmail.com" -__version__ = "0.1.1" +# -*- coding: utf-8 -*- + +"""Top-level package for antenna-intensity-modeler.""" + +__author__ = """Will Boxx""" +__email__ = "wboxx1@gmail.com" +__version__ = "0.1.1" diff --git a/src/antenna_intensity_modeler/cli.py b/src/antenna_intensity_modeler/cli.py index 89a38ef..057ee2c 100644 --- a/src/antenna_intensity_modeler/cli.py +++ b/src/antenna_intensity_modeler/cli.py @@ -1,18 +1,18 @@ -# -*- coding: utf-8 -*- - -"""Console script for antenna_intensity_modeler.""" -import sys -import click - - -@click.command() -def main(args=None): - """Console script for antenna_intensity_modeler.""" - click.echo("Replace this message by putting your code into " - "antenna_intensity_modeler.cli.main") - click.echo("See click documentation at http://click.pocoo.org/") - return 0 - - -if __name__ == "__main__": - sys.exit(main()) # pragma: no cover +# -*- coding: utf-8 -*- + +"""Console script for antenna_intensity_modeler.""" +import sys +import click + + +@click.command() +def main(args=None): + """Console script for antenna_intensity_modeler.""" + click.echo("Replace this message by putting your code into " + "antenna_intensity_modeler.cli.main") + click.echo("See click documentation at http://click.pocoo.org/") + return 0 + + +if __name__ == "__main__": + sys.exit(main()) # pragma: no cover diff --git a/src/antenna_intensity_modeler/parabolic.py b/src/antenna_intensity_modeler/parabolic.py index f5f0a28..47f825c 100644 --- a/src/antenna_intensity_modeler/parabolic.py +++ b/src/antenna_intensity_modeler/parabolic.py @@ -1,244 +1,771 @@ -# -*- coding: utf-8 -*- - -"""Main module.""" - -import numpy as np -import scipy as sp -import scipy.integrate -import scipy.special -import matplotlib.pyplot as plt -import pandas as pd - -# Units -m = 1.0 -pi = np.pi -rad = 1.0 -s = 1.0 - - -def parameters(radius_meters, freq_mhz, power_watts, efficiency, side_lobe_ratio): - """Parameters for parabolic dish - - Receives user input parameters for parabolic dish and - computes and returns all needed parameters for parabolic - functions. - - :param radius_meters: antenna radius in meters. - :param freq_mhz: frequency in megahertz. - :param power_watts: output power of radio in watts. - :param efficiency: efficiency of antenna. - :param side_lobe_ratio: side lobe ratio of antenna. - :type radius_meters: float - :type freq_mhz: float - :type power_watts: float - :type efficiency: float - :type side_lobe_ratio: float - :returns: parameters needed for parabolic functions. - :rtype: tuple(float) - :Example: - - >>> from antenna_intensity_modeler import parabolic - >>> params = parabolic.parameters(2.4, 8400., 400.0, 0.62, 20.0) - >>> params - (2.4, 8400., 400, 0.62, 20, 0.4872, 1290.24, 2.1134, 175.929) - """ - - """Constants""" - C = 3e8 * m / s - - # Sidelobe Ratios (illummination) - # n = 0: slr = 17.57 - # n = 1: slr = 25 - # n = 2: slr = 30 - # n = 3: slr = 35 - # n = 4: slr = 40 - # n = 5: slr = 45 - HDICT = { - 17.57: 0, - 20: 0.4872, - 25: 0.8899, - 30: 1.1977, - 35: 1.4708, - 40: 1.7254, - 45: 1.9681, - 50: 2.2026 - } - freq_hz = freq_mhz*1e6 - DIAM = 2 * radius_meters - LAMDA = C / freq_hz - GAIN = 10 * np.log10(efficiency * (pi * DIAM / LAMDA)**2) - EIRP = power_watts * 10**(0.1 * GAIN) - - """Properties""" - H = HDICT[side_lobe_ratio] - ffmin = 2 * DIAM**2 / LAMDA - ffpwrden = EIRP / (4 * pi * ffmin**2) - k = 2 * pi / LAMDA - - return radius_meters, freq_mhz, power_watts, efficiency, side_lobe_ratio, H, ffmin, ffpwrden, k - - -def near_field_corrections(parameters, xbar): - """Near field corrections for parabolic dish. - - Receives user input parameters and normalized off axis distance - for parabolic dish computes and returns plot of near field correction - factors. - - :param parameters: parameters tuple created with parameters function - :param xbar: normalized off-axis distance - :type parameters: tuple(float) - :type xbar: float - :returns: dataframe - :rtype: pandas dataframe - :Example: - - >>> from antenna_intensity_modeler import parabolic - >>> import matplotlib.pyplot as plt - >>> params = parabolic.parameters(2.4, 8.4e9, 400.0, 0.62, 20.0) - >>> xbar = 1.0 - >>> table = parabolic.near_field_corrections(params, xbar) - >>> fig, ax = plt.subplots() - >>> ax.semilogx(table.delta, table.Pcorr) - >>> ax.set_xlim([0.01, 1.0]) - >>> ax.grid(True, which="both") - >>> ax.minorticks_on() - >>> side_lobe_ratio = params[4] - >>> ax.set_title("Near Field Corrections xbar: %s , slr: %s" % (xbar, side_lobe_ratio)) - >>> ax.set_xlabel("Normalized On Axis Distance") - >>> ax.set_ylabel("Normalized On Axis Power Density") - >>> fig.show() - - .. image:: _static/nfcImage.png - """ - radius, freq_mhz, power_watts, efficiency, side_lobe_ratio, H, ffmin, ffpwrden, k = parameters - - # delta = np.linspace(0.01, 1.0, 1000) # Normalized farfield distances - delta = np.logspace(-2, 0, 1000) - Ep = np.zeros(1000) - count = 0 - xbarR = xbar * radius - - for d in delta: - theta = np.arctan(xbarR / (d * ffmin)) - u = k * radius * np.sin(theta) - - def fun1(x): return (scipy.special.iv(0, pi * H * (1 - x**2)) - * scipy.special.jv(0, u * x) - * np.cos(pi * x**2 / 8 / d) - * x) - Ep1 = scipy.integrate.romberg(fun1, 0, 1) - - def fun2(x): return (scipy.special.iv(0, pi * H * (1 - x**2)) - * scipy.special.jv(0, u * x) - * np.sin(pi * x**2 / 8 / d) - * x) - Ep2 = scipy.integrate.romberg(fun2, 0, 1) - Ep[count] = (1 + np.cos(theta)) / d * abs(Ep1 - 1j * Ep2) - count += 1 - - Pcorr = (Ep**2 / Ep[-1]**2) * ffpwrden - - #fig, ax = plt.subplots() - #ax.semilogx(delta, Pcorr) - #ax.set_xlim([0.01, 1.0]) - #ax.grid(True, which="both") - # ax.minorticks_on() - #ax.set_title("Near Field Corrections xbar: %s , slr: %s" % (xbar, side_lobe_ratio)) - #ax.set_xlabel("Normalized On Axis Distance") - #ax.set_ylabel("Normalized On Axis Power Density") - # return fig, ax - return pd.DataFrame(dict(delta=delta, Pcorr=Pcorr)) - - -def hazard_plot(parameters, limit, density=1000, xbar_max=1, gain_boost=None): - """Hazard plot for parabolic dish. - - Receives user input parameters and hazard limit - for parabolic dish. Computes and returns hazard distance - plot. - - :param parameters: parameters tuple created with parameters function - :param limit: power density limit - :param density: (optional) number of points for plot, if none density=1000 - :param xbar_max: (optional) maximum value for xbar, if none is given xbar_max=1 - :param gain_boost: (optional) additional numerical gain to add - :type parameters: tuple(float) - :type limit: float - :type xbar_max: int - :type gain_boost: float - :returns: figure and axes for hazard plot - :rtype: (figure, axes) - :Example: - - >>> from antenna_intensity_modeler import parabolic - >>> params = parabolic.parameters(2.4, 8.4e9, 400.0, 0.62, 20.0) - >>> fig, ax = hazard_plot(params, 10.0) - """ - radius_meters, freq_mhz, power_watts, efficiency, side_lobe_ratio, H, ffmin, ffpwrden, k = parameters - n = density - delta = np.linspace(1.0, 0.01, n) # Normalized farfield distances - xbarArray = np.ones(n) - Ep = np.zeros(n) - - # xbars = np.linspace(0, 1, 10) - xbars = np.arange(0, xbar_max + 0.1, 0.1) - - if gain_boost is not None: - ffpwrden = gain_boost*ffpwrden - - last = 999 - count = 0 - for d in delta: - for xbar in xbars: - xbarR = xbar * radius_meters - theta = np.arctan(xbarR / (d * ffmin)) - u = k * radius_meters * np.sin(theta) - - def fun1(x): return (sp.special.iv(0, pi * H * (1 - x**2)) - * sp.special.jv(0, u * x) - * np.cos(pi * x**2 / 8 / d) - * x) - Ep1 = sp.integrate.romberg(fun1, 0, 1) - - def fun2(x): return (sp.special.iv(0, pi * H * (1 - x**2)) - * sp.special.jv(0, u * x) - * np.sin(pi * x**2 / 8 / d) - * x) - Ep2 = sp.integrate.romberg(fun2, 0, 1) - Ep[count] = (1 + np.cos(theta)) / d * abs(Ep1 - 1j * Ep2) - power = ffpwrden * (Ep[count]**2 / Ep[0]**2) - if power - limit < 0: - if abs(power - limit) < last: - xbarArray[count] = xbar - last = power - limit - last = 999 - count += 1 - - fig, ax = plt.subplots() - ax.plot(delta[::-1] * ffmin, xbarArray[::-1] * radius_meters, - delta[::-1] * ffmin, xbarArray[::-1] * -radius_meters) - ax.grid(True, which='both') - ax.minorticks_on() - ax.set_title('Hazard Plot with limit: %s w/m^2' % limit) - ax.set_xlabel('Distance From Antenna(m)') - ax.set_ylabel('Off Axis Distance (m)') - return fig, ax - - -def print_parameters(parameters): - """Prints formated parameter list. - - Args: - parameters(tuple): parameters tuple created with parameters function - - Returns: - none - """ - radius_meters, freq_mhz, power_watts, efficiency, side_lobe_ratio, H, ffmin, ffpwrden, k = parameters - print('Aperture Radius: %.2f' % radius_meters) - print('Output Power (w): %.2f' % power_watts) - print('Antenna Efficiency: %.2f' % efficiency) - print('Side Lobe Ratio: %.2f' % side_lobe_ratio) - print('Far Field (m): %.2f' % ffmin) - print('Far Field (w/m^2): %.2f' % ffpwrden) +# -*- coding: utf-8 -*- +"""Main module.""" + +import numpy as np +import scipy as sp +from scipy import integrate +import scipy.special +import matplotlib.pyplot as plt +import pandas as pd +from functools import partial +from multiprocessing import Pool + +# Units +m = 1.0 +pi = np.pi +cos = np.cos +sin = np.sin +rad = 1.0 +s = 1.0 + + +def parameters(radius_meters, freq_mhz, power_watts, efficiency, side_lobe_ratio): + """Parameters for parabolic dish + + Receives user input parameters for parabolic dish and + computes and returns all needed parameters for parabolic + functions. + + :param radius_meters: antenna radius in meters. + :param freq_mhz: frequency in megahertz. + :param power_watts: output power of radio in watts. + :param efficiency: efficiency of antenna. + :param side_lobe_ratio: side lobe ratio of antenna. + :type radius_meters: float + :type freq_mhz: float + :type power_watts: float + :type efficiency: float + :type side_lobe_ratio: float + :returns: parameters needed for parabolic functions. + :rtype: tuple(float) + :Example: + + >>> from antenna_intensity_modeler import parabolic + >>> params = parabolic.parameters(2.4, 8400., 400.0, 0.62, 20.0) + >>> params + (2.4, 8400., 400, 0.62, 20, 0.4872, 1290.24, 2.1134, 175.929) + """ + + """Constants""" + C = 3e8 * m / s + + # Sidelobe Ratios (illummination) + # n = 0: slr = 17.57 + # n = 1: slr = 25 + # n = 2: slr = 30 + # n = 3: slr = 35 + # n = 4: slr = 40 + # n = 5: slr = 45 + HDICT = { + 17.57: 0, + 20: 0.4872, + 25: 0.8899, + 30: 1.1977, + 35: 1.4708, + 40: 1.7254, + 45: 1.9681, + 50: 2.2026, + } + freq_hz = freq_mhz * 1e6 + DIAM = 2 * radius_meters + LAMDA = C / freq_hz + GAIN = 10 * np.log10(efficiency * (pi * DIAM / LAMDA) ** 2) + EIRP = power_watts * 10 ** (0.1 * GAIN) + + """Properties""" + H = HDICT[side_lobe_ratio] + ffmin = 2 * DIAM ** 2 / LAMDA + ffpwrden = EIRP / (4 * pi * ffmin ** 2) + k = 2 * pi / LAMDA + + return_dict = { + "radius_meters": radius_meters, + "freq_mhz": freq_mhz, + "power_watts": power_watts, + "efficiency": efficiency, + "side_lobe_ratio": side_lobe_ratio, + "H": H, + "ffmin": ffmin, + "ffpwrden": ffpwrden, + "k": k, + } + return return_dict + # return radius_meters, freq_mhz, power_watts, efficiency, side_lobe_ratio, H, ffmin, ffpwrden, k + + +def __run_near_field_corrections(d: float, parameters: dict, xbar: float): + radius = parameters["radius_meters"] + freq_mhz = parameters["freq_mhz"] + power_watts = parameters["power_watts"] + efficiency = parameters["efficiency"] + side_lobe_ratio = parameters["side_lobe_ratio"] + H = parameters["H"] + ffmin = parameters["ffmin"] + ffpwrden = parameters["ffpwrden"] + k = parameters["k"] + + xbarR = xbar * radius + theta = np.arctan(xbarR / (d * ffmin)) + u = k * radius * np.sin(theta) + + + def fun1(x): + return ( + 1 + * scipy.special.iv(0, pi * H * (1 - x ** 2)) # **(1 / 2)) + # * (1 - x**2) + * scipy.special.jv(0, u * x) + * np.cos(pi * x ** 2 / 8 / d) + * x + ) + + Ep1 = scipy.integrate.romberg(fun1, 0, 1) + + def fun2(x): + return ( + 1 + * scipy.special.iv(0, pi * H * (1 - x ** 2)) # **(1 / 2)) + # * (1 - x**2) + * scipy.special.jv(0, u * x) + * np.sin(pi * x ** 2 / 8 / d) + * x + ) + + Ep2 = scipy.integrate.romberg(fun2, 0, 1) + + return (1 + np.cos(theta)) / d * abs(Ep1 - 1j * Ep2) + +def near_field_corrections(parameters, xbar): + """Near field corrections for parabolic dish. + + Receives user input parameters and normalized off axis distance + for parabolic dish computes and returns plot of near field correction + factors. + + :param parameters: parameters tuple created with parameters function + :param xbar: normalized off-axis distance + :type parameters: tuple(float) + :type xbar: float + :returns: dataframe + :rtype: pandas dataframe + :Example: + + >>> from antenna_intensity_modeler import parabolic + >>> import matplotlib.pyplot as plt + >>> params = parabolic.parameters(2.4, 8.4e9, 400.0, 0.62, 20.0) + >>> xbar = 1.0 + >>> table = parabolic.near_field_corrections(params, xbar) + >>> fig, ax = plt.subplots() + >>> ax.semilogx(table.delta, table.Pcorr) + >>> ax.set_xlim([0.01, 1.0]) + >>> ax.grid(True, which="both") + >>> ax.minorticks_on() + >>> side_lobe_ratio = params[4] + >>> ax.set_title("Near Field Corrections xbar: %s , slr: %s" % (xbar, side_lobe_ratio)) + >>> ax.set_xlabel("Normalized On Axis Distance") + >>> ax.set_ylabel("Normalized On Axis Power Density") + >>> fig.show() + + .. image:: _static/nfcImage.png + """ + + run_with_params = partial(__run_near_field_corrections, parameters=parameters, xbar=xbar) + delta = np.logspace(-2, 0, 1000) + # Ep = np.array(map(lambda x: run_with_params(x) ** 2, delta)) + p = Pool(5) + Ep = np.array(list(p.map(run_with_params, delta))) + Pcorr = Ep ** 2 / Ep[-1] ** 2 * parameters["ffpwrden"] + + # # radius, freq_mhz, power_watts, efficiency, side_lobe_ratio, H, ffmin, ffpwrden, k = tuple(parameters) + # radius = parameters["radius_meters"] + # freq_mhz = parameters["freq_mhz"] + # power_watts = parameters["power_watts"] + # efficiency = parameters["efficiency"] + # side_lobe_ratio = parameters["side_lobe_ratio"] + # H = parameters["H"] + # ffmin = parameters["ffmin"] + # ffpwrden = parameters["ffpwrden"] + # k = parameters["k"] + + # # delta = np.linspace(0.01, 1.0, 1000) # Normalized farfield distances + # delta = np.logspace(-2, 0, 1000) + # Ep = np.zeros(1000) + # count = 0 + # xbarR = xbar * radius + + # for d in delta: + # theta = np.arctan(xbarR / (d * ffmin)) + # u = k * radius * np.sin(theta) + + # def fun1(x): + # return ( + # 1 + # * scipy.special.iv(0, pi * H * (1 - x ** 2)) # **(1 / 2)) + # # * (1 - x**2) + # * scipy.special.jv(0, u * x) + # * np.cos(pi * x ** 2 / 8 / d) + # * x + # ) + + # Ep1 = scipy.integrate.romberg(fun1, 0, 1) + # # Ep1 = sum(fun1(np.linspace(0, 1, 1000))) + + # def fun2(x): + # return ( + # 1 + # * scipy.special.iv(0, pi * H * (1 - x ** 2)) # **(1 / 2)) + # # * (1 - x**2) + # * scipy.special.jv(0, u * x) + # * np.sin(pi * x ** 2 / 8 / d) + # * x + # ) + + # Ep2 = scipy.integrate.romberg(fun2, 0, 1) + # # Ep2 = sum(fun2(np.linspace(0, 1, 1000))) + # Ep[count] = (1 + np.cos(theta)) / d * abs(Ep1 - 1j * Ep2) + # count += 1 + + # Pcorr = (Ep ** 2 / Ep[-1] ** 2) * ffpwrden + + # # fig, ax = plt.subplots() + # # ax.semilogx(delta, Pcorr) + # # ax.set_xlim([0.01, 1.0]) + # # ax.grid(True, which="both") + # # ax.minorticks_on() + # # ax.set_title("Near Field Corrections xbar: %s , slr: %s" % (xbar, side_lobe_ratio)) + # # ax.set_xlabel("Normalized On Axis Distance") + # # ax.set_ylabel("Normalized On Axis Power Density") + # # return fig, ax + return pd.DataFrame(dict(delta=delta, Pcorr=Pcorr)) + + +def test_method(parameters, xbar): + ( + radius, + freq_mhz, + power_watts, + efficiency, + side_lobe_ratio, + H, + ffmin, + ffpwrden, + k, + ) = parameters + + # delta = np.linspace(0.01, 1.0, 1000) # Normalized farfield distances + # delta = np.logspace(-2, 0, 100) + delta = range(70) + Ep = np.zeros(len(delta)) + count = 0 + xbarR = xbar * radius + C = 3e8 + lamda = C / (freq_mhz * 1e6) + # theta = np.arctan(xbarR / (delta * ffmin)) + # sintheta = np.sin(theta) + # x = np.linspace(-7.5, 7.5, 1000) + # u = k * radius * np.sin(theta) + # Ep = np.fft.fft( + # 1 + # # * scipy.special.iv(0, pi * H * (1 - x**2)) + # # * scipy.special.jv(0, u * x) + # * np.exp(1j * k * (x**2 / 2 / xbarR)) + # ) + # Ep = np.fft.fftshift(Ep) + # Ep = Ep * np.exp(-1j * k * 7.5**2 * u**2 / 2 / xbarR) + + # Pcorr = abs(Ep) + # for d in delta: + + ###########################3 + # FSA method without dropping phi + + # delta = np.logspace(-2, 0, 1000) + # Ep = np.zeros(len(delta)) + # for d in delta: + # theta = np.arctan(xbarR / (d * ffmin)) + # u = k * radius * np.sin(theta) + + # def fun1(x,y): return( + # 1 + # # * scipy.special.iv(0, pi * H * (1 - x**2)) + # * np.exp(-1j * k * x**2 / 2 / d) + # * np.exp(1j * k * x * sin(theta) * cos((pi / 8) - y) * x) + # ) + # Ep1 = integrate.dblquad(fun1, 0, radius, lambda x: 0, lambda x: 2 * pi) + + # # def fun2(x,y): return( + # # 1 + # # # * scipy.special.iv(0, pi * H * (1 - x**2)) + # # * sin(k * x**2 / 2 / d) + # # * sin(k * x * sin(theta) * cos((pi / 8) - y) * x) + # # ) + # # Ep2 = integrate.dblquad(fun1, 0, radius, lambda x: 0, lambda x: 2 * pi) + + # # Ep[count] = (1 + cos(theta)) / 4 / pi / d * abs(Ep1[0] - 1j * Ep2[0]) + # Ep[count] = (1 + cos(theta)) / 4 / pi / d * abs(Ep1[0]) + # count += 1 + ########################## + + ########################## + # Hansen implementation + d = 0.075 * ffmin + for deg in delta: + # theta = np.arctan(xbarR / (d * ffmin)) + # u = np.sin(theta) + theta = deg * pi / 180 + phi = 0 + # R = (xbar**2 + d**2)**(1/2) + R = d / cos(theta) # / ffmin + nabla = 120 * pi + + # u = k * radius * np.sin(theta) + + ####################### + # o = k * xbar**2 / d + + # def fun1(x): return( + # 1 + # * np.exp(1j * k * x**2 / 2 / d) + # * np.exp(-1j * k * x * u) + # ) + # def fun1(x): return ( + # 1 + # * scipy.special.iv(0, pi * H * (1 - x**2)) + # # * scipy.special.jv(0, u * x) + # * np.cos(k * (o / 2) * x**2 * (1 - u**2)) + # * np.cos(k * u * x) + # )j + # Ep[count] = 13.14 * (1 - np.cos(np.pi / 8 / d)) + ####################### + + ############################## + # def R(x,y): return( + # ((xbarR - (x * cos(y)))**2 + (-x * sin(y))**2 + d**2)**1/2 + # ) + + # def fun1(x,y): return( + # 1 + # * scipy.special.iv(0, pi * H * (1 - x**2)) + # * (1 / R(x,y)) + # * cos(k * R(x,y)) + # ) + # Ep1 = integrate.dblquad(fun1, 0, radius, lambda x: 0, lambda x: 2 * pi) + + # def fun2(x,y): return( + # 1 + # * scipy.special.iv(0, pi * H * (1 - x**2)) + # * (1 / R(x,y)) + # * sin(k * R(x,y)) + # ) + # Ep2 = integrate.dblquad(fun2, 0, radius, lambda x: 0, lambda x: 2 * pi) + + # Ep[count] = (1 / lamda) * abs(Ep1[0] - 1j * Ep2[0])**2 + ############################ + + ####################### + summation = 0 + even = 0 + odd = 0 + # print(k) + # print(radius) + # print(H) + print("{} of {}".format(count, len(delta)), end="\r") + for N in range(50): + + def fun_b1(x): + return ( + 1 + # * scipy.special.iv(0, pi * H * (1 - x**2)**(1 / 2)) + * scipy.special.spherical_jn(N, x) + * x + ) + + B1 = scipy.integrate.romberg(fun_b1, 0, k * radius, divmax=20) + + def fun_b2(x): + return ( + 1 + # * scipy.special.iv(0, pi * H * (1 - x**2)**(1 / 2)) + * scipy.special.spherical_jn(N, x) + ) + + # B2 = scipy.integrate.romberg(fun_b2, 0, 1, divmax=20) + B2 = scipy.integrate.romberg(fun_b2, 0, k * radius, divmax=20) + + if N % 2 == 0: + + def fun_a1(x): + return scipy.special.gegenbauer(N, 0)(sin(theta) * cos(x)) + + def fun_a2(x): + return scipy.special.gegenbauer(N - 1, 1)(sin(theta) * cos(x)) + + def fun_a5(x): + return ( + scipy.special.gegenbauer(N - 2, 2)(sin(theta) * cos(x)) + * cos(x) ** 2 + ) + + if N == 0: + A1 = 0 + A2 = 0 + A5 = 0 + pass + elif N == 2: + A1 = scipy.integrate.romberg(fun_a1, 0, pi / 2, divmax=20) + A2 = scipy.integrate.romberg(fun_a2, 0, pi / 2, divmax=20) + A5 = 0 + else: + A1 = scipy.integrate.romberg(fun_a1, 0, pi / 2, divmax=20) + A2 = scipy.integrate.romberg(fun_a2, 0, pi / 2, divmax=20) + A5 = scipy.integrate.romberg(fun_a5, 0, pi / 2, divmax=20) + + even += ( + (2 * N + 1) + # * scipy.special.spherical_yn(N, k * R) + * scipy.special.hankel2(N, k * R) + * ( + -A1 * B1 + + ((1 / k / R) * A2 * B2) + - ((1 / k ** 2 / R ** 2) * A5 * B1) + ) + ) + else: + + def fun_a4(x): + return scipy.special.gegenbauer(N - 2, 2)( + sin(theta) * cos(x) + ) * cos(x) + + if N == 1: + A4 = 0 + else: + A4 = scipy.integrate.romberg(fun_a4, 0, pi / 2, divmax=20) + + odd += ( + (2 * N + 1) + # * scipy.special.spherical_yn(N, k * R) + * scipy.special.hankel2(N, k * R) + * A4 + * B2 + ) + even = nabla * cos(theta) * cos(phi) / pi * even + odd = nabla * sin(theta) * cos(theta) * cos(phi) / pi / k / R * odd + # print(even) + # print(odd) + Ep[count] = abs( + np.real(even) + np.real(odd) + 1j * (np.imag(even) + np.imag(odd)) + ) + # print(Ep[count]) + + # def fun2(x): return ( + # 1 + # * scipy.special.iv(0, pi * H * (1 - x**2)) + # # * scipy.special.jv(0, u * x) + # * np.sin(k * (o / 2) * x**2 * (1 - u**2)) + # * np.sin(k * u * x) + # ) + # Ep2 = 2 * scipy.integrate.romberg(fun2, 0, 1) + # Ep2 = sum(fun2(np.linspace(0, 1, 1000))) + # Ep[count] = abs(Ep1 - 1j * Ep2) + # Ep2 = np.exp(-1j * k * radius**2 * u**2 / 2 / d) + + count += 1 + + Pcorr = Ep ** 2 / max(Ep) ** 2 # * ffpwrden + + # Pcorr = (Ep**2 / Ep[-1]**2) * ffpwrden + # Pcorr = Ep + + # fig, ax = plt.subplots() + # ax.semilogx(delta, Pcorr) + # ax.set_xlim([0.01, 1.0]) + # ax.grid(True, which="both") + # ax.minorticks_on() + # ax.set_title("Near Field Corrections xbar: %s , slr: %s" % (xbar, side_lobe_ratio)) + # ax.set_xlabel("Normalized On Axis Distance") + # ax.set_ylabel("Normalized On Axis Power Density") + # return fig, ax + return pd.DataFrame(dict(delta=delta, Pcorr=Pcorr)) + + +def hazard_plot(parameters, limit, density=1000, xbar_max=1, gain_boost=None): + """Hazard plot for parabolic dish. + + Receives user input parameters and hazard limit + for parabolic dish. Computes and returns hazard distance + plot. + + :param parameters: parameters tuple created with parameters function + :param limit: power density limit + :param density: (optional) number of points for plot, if none density=1000 + :param xbar_max: (optional) maximum value for xbar, if none is given xbar_max=1 + :param gain_boost: (optional) additional numerical gain to add + :type parameters: tuple(float) + :type limit: float + :type xbar_max: int + :type gain_boost: float + :returns: figure and axes for hazard plot + :rtype: (figure, axes) + :Example: + + >>> from antenna_intensity_modeler import parabolic + >>> params = parabolic.parameters(2.4, 8.4e9, 400.0, 0.62, 20.0) + >>> fig, ax = hazard_plot(params, 10.0) + """ + ( + radius_meters, + freq_mhz, + power_watts, + efficiency, + side_lobe_ratio, + H, + ffmin, + ffpwrden, + k, + ) = parameters + n = density + delta = np.linspace(1.0, 0.001, n) # Normalized farfield distances + # delta = np.logspace(-2, 0, n) + # delta = delta[::-1] + xbarArray = np.zeros(n) # np.ones(n) + Ep = np.zeros(n) + + # xbars = np.linspace(0, 1, 10) + step = 0.01 + xbars = np.arange(0, xbar_max + step, step) + + if gain_boost is not None: + ffpwrden = gain_boost * ffpwrden + + last = 1e-9 + count = 0 + ff_reference = 0 + for d in delta: + for xbar in xbars: + xbarR = xbar * radius_meters + theta = np.arctan(xbarR / (d * ffmin)) + u = k * radius_meters * np.sin(theta) + + def fun1(x): + return ( + 1 + # * sp.special.iv(0, pi * H * (1 - x**2)**(1 / 2)) + * sp.special.jv(0, u * x) + * np.cos(pi * x ** 2 / 8 / d) + * x + ) + + # Ep1 = sp.integrate.romberg(fun1, 0, 1) + Ep1 = sum(fun1(np.linspace(0, 1, 1000))) + + def fun2(x): + return ( + 1 + # * sp.special.iv(0, pi * H * (1 - x**2)**(1 / 2)) + * sp.special.jv(0, u * x) + * np.sin(pi * x ** 2 / 8 / d) + * x + ) + + # Ep2 = sp.integrate.romberg(fun2, 0, 1) + Ep2 = sum(fun2(np.linspace(0, 1, 1000))) + + if d == 1.0 and xbar == 0.0: + ff_reference = (1 + np.cos(theta)) / d * abs(Ep1 - 1j * Ep2) + Ep = ff_reference + else: + Ep = (1 + np.cos(theta)) / d * abs(Ep1 - 1j * Ep2) + + power = ffpwrden * (Ep ** 2 / ff_reference ** 2) + if (power - limit) > 0: + # if power - limit > last: + xbarArray[count] = xbar + # last = power - limit + last = 1e-9 + count += 1 + + # fig, ax = plt.subplots() + # # ax.plot(delta[::-1] * ffmin, xbarArray[::-1] * radius_meters, + # # delta[::-1] * ffmin, xbarArray[::-1] * -radius_meters) + # _x = delta[::-1] * ffmin + # _y = xbarArray[::-1] * radius_meters + # _y_neg = -1 * _y + # degree = 0 + # rotate = [ + # [np.cos(degree * np.pi / 180), np.sin(degree * np.pi / 180)], + # [-np.sin(degree * np.pi / 180), np.cos(degree * np.pi / 180)] + # ] + # top = np.dot(np.column_stack((_x, _y)), rotate) + # bottom = np.dot(np.column_stack((_x, _y_neg)), rotate) + # ax.plot(top[:, 0], top[:, 1], bottom[:, 0], bottom[:, 1]) + # ax.grid(True, which='both') + # ax.minorticks_on() + # ax.set_title('Hazard Plot with limit: %s w/m^2' % limit) + # ax.set_xlabel('Distance From Antenna(m)') + # ax.set_ylabel('Off Axis Distance (m)') + # return fig, ax + return pd.DataFrame( + dict( + range=delta[::-1] * ffmin, + positives=xbarArray[::-1] * radius_meters, + negatives=xbarArray[::-1] * -radius_meters, + ) + ) + + +def combined_hazard_plot(parameters, limit, density=1000): + """Hazard plot for parabolic dish. + + Receives user input parameters and hazard limit + for parabolic dish. Computes and returns hazard distance + plot. + + :param parameters: parameters tuple created with parameters function + :param limit: power density limit + :param density: (optional) number of points for plot, if none density=1000 + :param xbar_max: (optional) maximum value for xbar, if none is given xbar_max=1 + :param gain_boost: (optional) additional numerical gain to add + :type parameters: tuple(float) + :type limit: float + :type xbar_max: int + :type gain_boost: float + :returns: figure and axes for hazard plot + :rtype: (figure, axes) + :Example: + + >>> from antenna_intensity_modeler import parabolic + >>> params = parabolic.parameters(2.4, 8.4e9, 400.0, 0.62, 20.0) + >>> fig, ax = hazard_plot(params, 10.0) + """ + ( + radius_meters, + freq_mhz, + power_watts, + efficiency, + side_lobe_ratio, + H, + ffmin, + ffpwrden, + k, + ) = parameters + n = density + delta = np.linspace(1.0, 0.01, n) # Normalized farfield distances + # x = np.logspace(-5, 0, 100) # Normalized farfield distances + x = np.linspace(0, 1, 1000) # Normalized to farfield distance + y = np.arange(0, 16.1, 0.1) # Normalized to radius + X, Y = np.meshgrid(x, y) + + txr_coord = [ + [-30 / ffmin, 2], + [-45 / ffmin, 6], + [-15 / ffmin, 6], + [-30 / ffmin, 10], + [-45 / ffmin, 14], + [-15 / ffmin, 14], + ] + + pd_field = np.zeros(X.shape) + eps = 1e-12 + + # Determine farfield power density + d = 1.0 + theta = 0.0 + u = 0.0 + + def fun1(x): + return ( + 1 + # * scipy.special.iv(0, pi * H * (1 - x**2)) + * scipy.special.jv(0, u * x) + * np.cos(pi * x ** 2 / 8 / d) + * x + ) + + Ep1 = scipy.integrate.romberg(fun1, 0, 1, divmax=20) + # Ep1 = sum(fun1(np.linspace(0, 1, 1000))) + + def fun2(x): + return ( + 1 + # * scipy.special.iv(0, pi * H * (1 - x**2)) + * scipy.special.jv(0, u * x) + * np.sin(pi * x ** 2 / 8 / d) + * x + ) + + Ep2 = scipy.integrate.romberg(fun2, 0, 1, divmax=20) + # Ep2 = sum(fun2(np.linspace(0, 1, 1000))) + + ff_reference = (1 + np.cos(theta)) / d * abs(Ep1 - 1j * Ep2) + + for i in range(len(y)): + for j in range(len(x)): + for coord in txr_coord: + _x = coord[0] + _y = coord[1] + diff_x = np.abs(X[i, j] - _x) * ffmin + diff_y = np.abs(Y[i, j] - _y) * radius_meters + theta = np.arctan(diff_y / (diff_x + eps)) + u = k * radius_meters * np.sin(theta) + + def fun1(x): + return ( + 1 + # * scipy.special.iv(0, pi * H * (1 - x**2)) + * scipy.special.jv(0, u * x) + * np.cos(pi * x ** 2 / 8 / abs(X[i, j] - _x)) + * x + ) + + Ep1 = scipy.integrate.romberg(fun1, 0, 1, divmax=20) + # Ep1 = sum(fun1(np.linspace(0, 1, 1000))) + + def fun2(x): + return ( + 1 + # * scipy.special.iv(0, pi * H * (1 - x**2)) + * scipy.special.jv(0, u * x) + * np.sin(pi * x ** 2 / 8 / abs(X[i, j] - _x)) + * x + ) + + Ep2 = scipy.integrate.romberg(fun2, 0, 1, divmax=20) + # Ep2 = sum(fun2(np.linspace(0, 1, 1000))) + + Ep = (1 + np.cos(theta)) / abs(X[i, j] - _x) * abs(Ep1 - 1j * Ep2) + pd_field[i, j] = ( + pd_field[i, j] + (Ep ** 2 / ff_reference ** 2) * ffpwrden + ) + + # Pcorr = (Ep**2 / Ep[-1]**2) * ffpwrden + + return X, Y, pd_field + + +def print_parameters(parameters): + """Prints formated parameter list. + + Args: + parameters(tuple): parameters tuple created with parameters function + + Returns: + none + """ + ( + radius_meters, + freq_mhz, + power_watts, + efficiency, + side_lobe_ratio, + H, + ffmin, + ffpwrden, + k, + ) = parameters + print("Aperture Radius: %.2f" % radius_meters) + print("Output Power (w): %.2f" % power_watts) + print("Antenna Efficiency: %.2f" % efficiency) + print("Side Lobe Ratio: %.2f" % side_lobe_ratio) + print("Far Field (m): %.2f" % ffmin) + print("Far Field (w/m^2): %.2f" % ffpwrden) diff --git a/src/limit_line_0.9_angle_0.csv b/src/limit_line_0.9_angle_0.csv new file mode 100644 index 0000000..2cbad6b --- /dev/null +++ b/src/limit_line_0.9_angle_0.csv @@ -0,0 +1,1001 @@ +,0.9_top_x,0.9_top_y,0.9_bottom_x,0.9_bottom_y +0,4.5,112.5,4.5,-112.5 +1,9.0,98.99244601288092,9.0,-98.99244601288092 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+995,4351.986731890604,1692.607402807234,4578.225631976158,-893.3150580898485 +996,4356.421598141895,1693.083208667752,4582.675745464603,-893.013528947482 +997,4360.964357627542,1692.3257892164795,4587.017965718695,-891.4787744933249 +998,4365.6252111655995,1690.2185485694877,4591.242091920374,-888.5941988434488 +999,4370.414359574128,1686.6448908428472,4595.337923251582,-884.2432061139236 diff --git a/src/test.py b/src/test.py new file mode 100644 index 0000000..9e04ae5 --- /dev/null +++ b/src/test.py @@ -0,0 +1,16 @@ +from antenna_intensity_modeler import parabolic +import matplotlib.pyplot as plt +params = parabolic.parameters(2.4, 8.4e9, 400.0, 0.62, 35) +params['ffpwrden'] = 1. +xbar = 0. +table = parabolic.near_field_corrections(params, xbar) +fig, ax = plt.subplots() +ax.semilogx(table.delta, table.Pcorr) +ax.set_xlim([0.01, 1.0]) +ax.grid(True, which="both") +ax.minorticks_on() +side_lobe_ratio = params['side_lobe_ratio'] +ax.set_title("Near Field Corrections xbar: %s , slr: %s" % (xbar, side_lobe_ratio)) +ax.set_xlabel("Normalized On Axis Distance") +ax.set_ylabel("Normalized On Axis Power Density") +plt.show() \ No newline at end of file diff --git a/tests/test_antenna_intensity_modeler.py b/tests/test_antenna_intensity_modeler.py index f62bdb0..ed712d4 100644 --- a/tests/test_antenna_intensity_modeler.py +++ b/tests/test_antenna_intensity_modeler.py @@ -1,71 +1,71 @@ -#!/usr/bin/env python -# -*- coding: utf-8 -*- - - -"""Tests for `antenna_intensity_modeler` package.""" - -import pytest - -from click.testing import CliRunner - -from antenna_intensity_modeler import parabolic -from antenna_intensity_modeler import cli -import numpy as np - - -@pytest.fixture -def response(): - """Sample pytest fixture. - - See more at: http://doc.pytest.org/en/latest/fixture.html - """ - # import requests - # return requests.get('https://github.com/audreyr/cookiecutter-pypackage') - - -def test_content(response): - """Sample pytest test function with the pytest fixture as an argument.""" - # from bs4 import BeautifulSoup - # assert 'GitHub' in BeautifulSoup(response.content).title.string - - -def test_command_line_interface(): - """Test the CLI.""" - runner = CliRunner() - result = runner.invoke(cli.main) - assert result.exit_code == 0 - assert 'antenna_intensity_modeler.cli.main' in result.output - help_result = runner.invoke(cli.main, ['--help']) - assert help_result.exit_code == 0 - assert '--help Show this message and exit.' in help_result.output - - -def test_parameters(): - params = parabolic.parameters(2.4, 8400., 400.0, 0.62, 20.0) - np.testing.assert_allclose( - params, - (2.4, 8400., 400.0, 0.62, 20.0, 0.4872, 1290.24, 2.1134, 175.929), - rtol=1e-3 - ) - - -def test_near_field_corrections_function(): - params = parabolic.parameters(2.4, 8400., 400.0, 0.62, 20.0) - table = parabolic.near_field_corrections(params, 1.0) - np.testing.assert_allclose( - [table.delta.sum(), table.Pcorr.sum()], - [505, 3715], - rtol=1 - ) - - -def test_hazard_plot_function(): - params = parabolic.parameters(2.4, 8400., 400.0, 0.62, 20.0) - fig, ax = parabolic.hazard_plot(params, 10.0) - lines = ax.lines - x_plot, y_plot = lines[0].get_data() - np.testing.assert_allclose( - y_plot[0:3], - [2.16, 2.16, 2.16], - rtol=1e-5 - ) +#!/usr/bin/env python +# -*- coding: utf-8 -*- + + +"""Tests for `antenna_intensity_modeler` package.""" + +import pytest + +from click.testing import CliRunner + +from antenna_intensity_modeler import parabolic +from antenna_intensity_modeler import cli +import numpy as np + + +@pytest.fixture +def response(): + """Sample pytest fixture. + + See more at: http://doc.pytest.org/en/latest/fixture.html + """ + # import requests + # return requests.get('https://github.com/audreyr/cookiecutter-pypackage') + + +def test_content(response): + """Sample pytest test function with the pytest fixture as an argument.""" + # from bs4 import BeautifulSoup + # assert 'GitHub' in BeautifulSoup(response.content).title.string + + +def test_command_line_interface(): + """Test the CLI.""" + runner = CliRunner() + result = runner.invoke(cli.main) + assert result.exit_code == 0 + assert 'antenna_intensity_modeler.cli.main' in result.output + help_result = runner.invoke(cli.main, ['--help']) + assert help_result.exit_code == 0 + assert '--help Show this message and exit.' in help_result.output + + +def test_parameters(): + params = parabolic.parameters(2.4, 8400., 400.0, 0.62, 20.0) + np.testing.assert_allclose( + params, + (2.4, 8400., 400.0, 0.62, 20.0, 0.4872, 1290.24, 2.1134, 175.929), + rtol=1e-3 + ) + + +def test_near_field_corrections_function(): + params = parabolic.parameters(2.4, 8400., 400.0, 0.62, 20.0) + table = parabolic.near_field_corrections(params, 1.0) + np.testing.assert_allclose( + [table.delta.sum(), table.Pcorr.sum()], + [505, 3715], + rtol=1 + ) + + +def test_hazard_plot_function(): + params = parabolic.parameters(2.4, 8400., 400.0, 0.62, 20.0) + fig, ax = parabolic.hazard_plot(params, 10.0) + lines = ax.lines + x_plot, y_plot = lines[0].get_data() + np.testing.assert_allclose( + y_plot[0:3], + [2.16, 2.16, 2.16], + rtol=1e-5 + ) diff --git a/tox.ini b/tox.ini index 556c68b..c5d40a1 100644 --- a/tox.ini +++ b/tox.ini @@ -1,27 +1,27 @@ -[tox] -skipsdist = True -envlist = python3.4, python3.5, python3.6, flake8 - -[travis] -python = - 3.6: py36 - 3.5: py35 - 3.4: py34 - -[testenv:flake8] -basepython = python -deps = flake8 -commands = flake8 src/antenna_intensity_modeler - -[testenv] -whitelist_externals = poetry -skip_install = true -setenv = - PYTHONPATH = {toxinidir} -deps = pytest-cov -; If you want to make tox run the tests with the same versions, use poetry -; to install the dependencies -commands = - poetry install - poetry run pytest --cov=src/antenna_intensity_modeler tests/ - +[tox] +skipsdist = True +envlist = python3.4, python3.5, python3.6, flake8 + +[travis] +python = + 3.6: py36 + 3.5: py35 + 3.4: py34 + +[testenv:flake8] +basepython = python +deps = flake8 +commands = flake8 src/antenna_intensity_modeler + +[testenv] +whitelist_externals = poetry +skip_install = true +setenv = + PYTHONPATH = {toxinidir} +deps = pytest-cov +; If you want to make tox run the tests with the same versions, use poetry +; to install the dependencies +commands = + poetry install + poetry run pytest --cov=src/antenna_intensity_modeler tests/ +