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filterpy
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valemobil
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filterpy
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setup.py
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Roger Labbe
Include tests with distribution
29 апр 2018, 18:01
29 апр 2018, 18:01
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from setuptools import setup, find_packages # Always prefer setuptools over distutils from codecs import open # To use a consistent encoding from os import path import filterpy here = path.abspath(path.dirname(__file__)) # Get the long description from the relevant file with open(path.join(here, 'README.rst'), encoding='utf-8') as f: long_description = f.read() setup( name='filterpy', # Versions should comply with PEP440. For a discussion on single-sourcing # the version across setup.py and the project code, see # http://packaging.python.org/en/latest/tutorial.html#version version=filterpy.__version__, description='Kalman filtering and optimal estimation library', long_description=long_description, # The project's main homepage. url='https://github.com/rlabbe/filterpy', # Author details author='Roger Labbe', author_email='rlabbejr@gmail.com', # Choose your license license='MIT', # See https://pypi.python.org/pypi?%3Aaction=list_classifiers classifiers=[ # How mature is this project? Common values are # 3 - Alpha # 4 - Beta # 5 - Production/Stable 'Development Status :: 5 - Production/Stable', # Indicate who your project is intended for 'Intended Audience :: Developers', 'Intended Audience :: Education', 'Intended Audience :: Science/Research', 'Topic :: Scientific/Engineering', 'Topic :: Scientific/Engineering :: Mathematics', 'Topic :: Scientific/Engineering :: Physics', 'Topic :: Utilities', # Pick your license as you wish (should match "license" above) 'License :: OSI Approved :: MIT License', # Specify the Python versions you support here. In particular, ensure # that you indicate whether you support Python 2, Python 3 or both. 'Programming Language :: Python :: 2', 'Programming Language :: Python :: 2.7', 'Programming Language :: Python :: 3', 'Programming Language :: Python :: 3.4', 'Programming Language :: Python :: 3.5', 'Programming Language :: Python :: 3.6', 'Operating System :: Microsoft :: Windows', 'Operating System :: POSIX', 'Operating System :: Unix', 'Operating System :: MacOS' ], # What does your project relate to? keywords='Kalman filters filtering optimal estimation tracking', # You can just specify the packages manually here if your project is # simple. Or you can use find_packages(). packages=find_packages(exclude=['contrib']), # List run-time dependencies here. These will be installed by pip when your # project is installed. For an analysis of "install_requires" vs pip's # requirements files see: # https://packaging.python.org/en/latest/technical.html#install-requires-vs-requirements-files install_requires=['numpy', 'scipy', 'matplotlib'], # If there are data files included in your packages that need to be # installed, specify them here. If using Python 2.6 or less, then these # have to be included in MANIFEST.in as well. package_data={ 'filterpy': ['README.rst', 'filterpy/changelog.txt', 'LICENSE', 'filterpy/kalman/tests/*.py'], }, # Although 'package_data' is the preferred approach, in some case you may # need to place data files outside of your packages. # see http://docs.python.org/3.4/distutils/setupscript.html#installing-additional-files # In this case, 'data_file' will be installed into '<sys.prefix>/my_data' #data_files=[('my_data', ['data/data_file'])], # To provide executable scripts, use entry points in preference to the # "scripts" keyword. Entry points provide cross-platform support and allow # pip to create the appropriate form of executable for the target platform. #entry_points={ # 'console_scripts': [ # 'sample=sample:main', # ], #}, )