100 lines
3.7 KiB
Python
Executable File
100 lines
3.7 KiB
Python
Executable File
#!/usr/bin/env python
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import os
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from io import open
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# Always prefer setuptools over distutils
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from setuptools import setup, find_packages
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try:
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import builtins
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except ImportError:
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import __builtin__ as builtins
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# https://packaging.python.org/guides/single-sourcing-package-version/
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# http://blog.ionelmc.ro/2014/05/25/python-packaging/
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PATH_ROOT = os.path.dirname(__file__)
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builtins.__LIGHTNING_SETUP__ = True
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import pytorch_lightning # noqa: E402
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def load_requirements(path_dir=PATH_ROOT, comment_char='#'):
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with open(os.path.join(path_dir, 'requirements', 'base.txt'), 'r') as file:
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lines = [ln.strip() for ln in file.readlines()]
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reqs = []
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for ln in lines:
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# filer all comments
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if comment_char in ln:
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ln = ln[:ln.index(comment_char)]
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if ln: # if requirement is not empty
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reqs.append(ln)
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return reqs
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def load_long_description():
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# https://github.com/PyTorchLightning/pytorch-lightning/raw/master/docs/source/_images/lightning_module/pt_to_pl.png
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url = os.path.join(pytorch_lightning.__homepage__, 'raw', pytorch_lightning.__version__, 'docs')
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text = open('README.md', encoding='utf-8').read()
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# replace relative repository path to absolute link to the release
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text = text.replace('](docs', f']({url}')
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# SVG images are not readable on PyPI, so replace them with PNG
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text = text.replace('.svg', '.png')
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return text
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# https://packaging.python.org/discussions/install-requires-vs-requirements /
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# keep the meta-data here for simplicity in reading this file... it's not obvious
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# what happens and to non-engineers they won't know to look in init ...
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# the goal of the project is simplicity for researchers, don't want to add too much
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# engineer specific practices
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setup(
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name='pytorch-lightning',
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version=pytorch_lightning.__version__,
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description=pytorch_lightning.__docs__,
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author=pytorch_lightning.__author__,
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author_email=pytorch_lightning.__author_email__,
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url=pytorch_lightning.__homepage__,
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download_url='https://github.com/PyTorchLightning/pytorch-lightning',
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license=pytorch_lightning.__license__,
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packages=find_packages(exclude=['tests', 'tests/*', 'benchmarks']),
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long_description=load_long_description(),
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long_description_content_type='text/markdown',
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include_package_data=True,
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zip_safe=False,
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keywords=['deep learning', 'pytorch', 'AI'],
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python_requires='>=3.6',
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setup_requires=[],
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install_requires=load_requirements(PATH_ROOT),
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project_urls={
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"Bug Tracker": "https://github.com/PyTorchLightning/pytorch-lightning/issues",
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"Documentation": "https://pytorch-lightning.rtfd.io/en/latest/",
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"Source Code": "https://github.com/PyTorchLightning/pytorch-lightning",
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},
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classifiers=[
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'Environment :: Console',
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'Natural Language :: English',
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# How mature is this project? Common values are
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# 3 - Alpha, 4 - Beta, 5 - Production/Stable
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'Development Status :: 4 - Beta',
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# Indicate who your project is intended for
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'Intended Audience :: Developers',
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'Topic :: Scientific/Engineering :: Artificial Intelligence',
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'Topic :: Scientific/Engineering :: Image Recognition',
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'Topic :: Scientific/Engineering :: Information Analysis',
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# Pick your license as you wish
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'License :: OSI Approved :: BSD License',
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'Operating System :: OS Independent',
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# Specify the Python versions you support here. In particular, ensure
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# that you indicate whether you support Python 2, Python 3 or both.
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'Programming Language :: Python :: 3',
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'Programming Language :: Python :: 3.6',
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'Programming Language :: Python :: 3.7',
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'Programming Language :: Python :: 3.8',
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],
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)
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