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"""A setuptools based setup module. |
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See: |
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https://packaging.python.org/en/latest/distributing.html |
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https://github.com/pypa/sampleproject |
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""" |
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# Always prefer setuptools over distutils |
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from setuptools import setup, find_packages |
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from snakelet import __version__ |
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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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here = path.abspath(path.dirname(__file__)) |
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# Get the long description from the README file |
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with open(path.join(here, 'README.rst'), encoding='utf-8') as f: |
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long_description = f.read() |
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setup( |
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name='snakelet', |
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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='Mongo ORM', |
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long_description=long_description, |
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# The project's main homepage. |
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url='https://github.com/alexgurrola/snakelet', |
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# Author details |
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author='Alex Gurrola', |
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author_email='[email protected]', |
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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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'Topic :: Database :: Front-Ends', |
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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 :: 3', |
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'Programming Language :: Python :: 3.5', |
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'Programming Language :: Python :: 3.6', |
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'Programming Language :: Python :: 3.7' |
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], |
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# What does your project relate to? |
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keywords='data mongo orm', |
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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=['contrib', 'docs', 'tests']), |
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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=['pymongo'], |
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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': ['check-manifest'], |
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'test': ['coverage'], |
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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 # noqa |
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# In this case, 'data_file' will be installed into '<sys.prefix>/my_data' |
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# data_files=[ |
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# ('my_data', [ |
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# 'data/dseeds_dataset.cv' |
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# ]) |
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# ], |
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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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) |
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alexgurrola /
snakelet
