130 lines
4.5 KiB
Python
130 lines
4.5 KiB
Python
#!/usr/bin/env python
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# -*- coding: utf-8 -*-
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# Always prefer setuptools over distutils
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from setuptools import setup, find_packages
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# To use a consistent encoding
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from codecs import open
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from os import path
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import re
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here = path.abspath(path.dirname(__file__))
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# Get the version string
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with open(path.join(here, 'tianshou', '__init__.py'), encoding='utf-8') as f:
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version = re.search(r'__version__ = \'(.*?)\'', f.read()).group(1)
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# Get the long description from the README file
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with open(path.join(here, 'README.md'), encoding='utf-8') as f:
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readme = f.read()
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setup(
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name='tianshou',
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# Versions should comply with PEP440. For a discussion on single-sourcing
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# the version across setup.py and the project code, see
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# https://packaging.python.org/en/latest/single_source_version.html
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version=version,
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description='A Library for Deep Reinforcement Learning',
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long_description=readme,
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# The project's main homepage.
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url='https://github.com/thu-ml/tianshou',
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# Author details
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author='TSAIL',
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# author_email='',
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# Choose your license
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license='MIT',
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# See https://pypi.python.org/pypi?%3Aaction=list_classifiers
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classifiers=[
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# How mature is this project? Common values are
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# 3 - Alpha
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# 4 - Beta
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# 5 - Production/Stable
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'Development Status :: 3 - Alpha',
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# Indicate who your project is intended for
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'Intended Audience :: Developers',
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'Intended Audience :: Science/Research',
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'Topic :: Scientific/Engineering :: Artificial Intelligence',
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# Pick your license as you wish (should match "license" above)
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'License :: OSI Approved :: MIT License',
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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 :: 2',
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# 'Programming Language :: Python :: 2.7',
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'Programming Language :: Python :: 3',
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'Programming Language :: Python :: 3.4',
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'Programming Language :: Python :: 3.5',
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'Programming Language :: Python :: 3.6',
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],
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# What does your project relate to?
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keywords='tianshou reinforcement learning model-based',
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# You can just specify the packages manually here if your project is
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# simple. Or you can use find_packages().
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packages=find_packages(exclude=['tests', 'tests.*',
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'examples', 'examples.*', 'docs', 'docs.*']),
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# Alternatively, if you want to distribute just a my_module.py, uncomment
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# this:
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# py_modules=["my_module"],
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# List run-time dependencies here. These will be installed by pip when
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# your project is installed. For an analysis of "install_requires" vs pip's
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# requirements files see:
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# https://packaging.python.org/en/latest/requirements.html
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install_requires=['numpy>=1.14.0',
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'tensorflow-probability'],
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# List additional groups of dependencies here (e.g. development
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# dependencies). You can install these using the following syntax,
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# for example:
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# $ pip install -e .[dev,test]
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# extras_require={
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# 'dev': [
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# 'Sphinx>=1.7.1',
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# 'sphinx_rtd_theme',
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# 'sphinxcontrib-bibtex>=0.3.6',
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# 'pep8',
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# 'scipy',
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# 'coverage',
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# 'mock'
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# ],
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# 'examples': [
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# 'scipy',
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# 'matplotlib',
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# 'scikit-image',
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# 'progressbar2'
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# ],
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# },
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# If there are data files included in your packages that need to be
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# installed, specify them here. If using Python 2.6 or less, then these
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# have to be included in MANIFEST.in as well.
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# package_data={
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# 'sample': ['package_data.dat'],
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# },
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# Although 'package_data' is the preferred approach, in some case you may
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# need to place data files outside of your packages. See:
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# http://docs.python.org/3.4/distutils/setupscript.html#installing-additional-files
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# In this case, 'data_file' will be installed into '<sys.prefix>/my_data'
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# data_files=[('my_data', ['data/data_file'])],
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# To provide executable scripts, use entry points in preference to the
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# "scripts" keyword. Entry points provide cross-platform support and allow
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# pip to create the appropriate form of executable for the target platform.
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# entry_points={
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# 'console_scripts': [
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# 'sample=sample:main',
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# ],
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# },
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) |