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pyproject.toml
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pyproject.toml
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# pyproject-build
[build-system]
requires = ["wheel>=0.38.0", "setuptools>=61.0.0", "flit_core>=3.2,<4"]
build-backend = "flit_core.buildapi"
[tool.flit.module]
name = "analogvnn"
[tool.setuptools]
py-modules = ['analogvnn']
[tool.setuptools.package-data]
"analogvnn" = ["py.typed"]
[tool.setuptools.packages.find]
where = ["analogvnn"]
[project]
# $ pip install analogvnn
name = "analogvnn"
version = "1.0.8"
description = "A fully modular framework for modeling and optimizing analog/photonic neural networks"
readme = "README.md"
requires-python = ">=3.7"
license = { file = "LICENSE" }
keywords = ["deep-learning", "analog", "photonics", "neural-network", "framework", "pytorch"]
authors = [
{ name = "Vivswan Shah", email = "vivswanshah@pitt.edu" }
]
maintainers = [
{ name = "Vivswan Shah", email = "vivswanshah@pitt.edu" }
]
# For a list of valid classifiers, see https://pypi.org/classifiers/
classifiers = [
"Development Status :: 5 - Production/Stable",
"Intended Audience :: Developers",
"Intended Audience :: Science/Research",
"Topic :: Software Development :: Build Tools",
"Topic :: Scientific/Engineering :: Artificial Intelligence",
"Topic :: Software Development :: Libraries :: Python Modules",
"License :: OSI Approved :: Mozilla Public License 2.0 (MPL 2.0)",
"Programming Language :: Python :: 3",
"Programming Language :: Python :: 3.7",
"Programming Language :: Python :: 3.8",
"Programming Language :: Python :: 3.9",
"Programming Language :: Python :: 3.10",
"Programming Language :: Python :: 3 :: Only",
]
dependencies = [
"dataclasses",
"scipy",
"numpy>=1.16.5",
"networkx",
"importlib-metadata<5.0.0,>=2.0.0; python_version < '3.8'",
]
[project.optional-dependencies]
full = [
"tensorflow",
"tensorboard",
"torchinfo",
"graphviz",
#"python-graphviz",
]
doc = [# https://www.youtube.com/watch?v=qRSb299awB0&t=2418s
"sphinx>=4.2.0",
"sphinx-autobuild", # for live reloading {sphinx-autobuild .\docs .\docs\_build\html}
"rst-to-myst[sphinx]",
"furo",
"myst_parser",
"sphinx-rtd-theme",
"sphinx-autoapi",
"sphinx-copybutton",
"sphinx-notfound-page",
"sphinx-inline-tabs",
"sphinxext-opengraph",
"sphinxcontrib-katex", # for math
]
flake8 = [
"flake8", # for style checks {flake8 .\analogvnn\}
"flake8-docstrings",
"flake8-quotes",
"flake8-bugbear",
"flake8-comprehensions",
"flake8-executable",
"flake8-coding",
"flake8-return",
# "flake8-noreturn; python_version >= '3.8'",
"flake8-deprecated",
]
dev = [
"setuptools>=61.0.0",
"flit", # for building {flit build}
"build", # building the package {pyproject-build}
"twine", # to publish on pypi {twine upload -r testpypi dist/*} {twine upload -r pypi dist/*}
"johnnydep", # to see dependencies {johnnydep <package>}
]
test = ["analogvnn[flake8]"]
all = ["analogvnn[full,dev,doc,test]"]
[project.urls]
"Author" = "https://vivswan.github.io/"
"Bug Reports" = "https://github.com/Vivswan/AnalogVNN/issues"
"Documentation" = "https://analogvnn.readthedocs.io/en/latest/"
"Homepage" = "https://github.com/Vivswan/AnalogVNN"
"Say Thanks!" = "https://vivswan.github.io/"
"Source" = "https://github.com/Vivswan/AnalogVNN"