cleanlab--cleanlab
Anish Athalye
108 行
3.7 KiB
Python
108 行
3.7 KiB
Python
# Written by Curtis G. Northcutt
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# For pypi upload
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# 0. python setup.py check -r -s
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# 0. rm -rf dist build
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# 1. python setup.py sdist bdist_wheel --universal
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# 1. twine check dist/*
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# 2. python3 -m twine upload dist/*
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from setuptools import setup, find_packages
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from setuptools.command.egg_info import egg_info
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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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class egg_info_ex(egg_info):
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"""Includes license file into `.egg-info` folder."""
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def run(self):
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# don't duplicate license into `.egg-info` when building a distribution
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if not self.distribution.have_run.get('install', True):
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# `install` command is in progress, copy license
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self.mkpath(self.egg_info)
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self.copy_file('LICENSE', self.egg_info)
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egg_info.run(self)
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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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# Get version number
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exec(open('cleanlab/version.py').read())
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setup(
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name='cleanlab',
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version=__version__,
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license='AGPLv3+',
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long_description=long_description,
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long_description_content_type='text/x-rst',
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description = 'The standard package for machine learning with noisy labels and finding mislabeled data in Python.',
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url = 'https://github.com/cleanlab/cleanlab',
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author = 'Cleanlab, Inc.',
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author_email = 'team@cleanlab.ai',
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# See https://pypi.python.org/pypi?%3Aaction=list_classifiers
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classifiers=[
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'Development Status :: 4 - Beta',
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'Intended Audience :: Developers',
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'Intended Audience :: Education',
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'Intended Audience :: Science/Research',
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'Intended Audience :: Information Technology',
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'License :: OSI Approved :: GNU Affero General Public License v3 or later (AGPLv3+)',
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'Natural Language :: English',
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# We believe this package works will these versions, but we do not guarantee it!
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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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'Programming Language :: Python :: 3.7',
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'Programming Language :: Python :: 3.8',
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'Programming Language :: Python :: 3.9',
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'Programming Language :: Python',
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'Topic :: Software Development',
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'Topic :: Scientific/Engineering',
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'Topic :: Scientific/Engineering',
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'Topic :: Scientific/Engineering :: Mathematics',
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'Topic :: Scientific/Engineering :: Artificial Intelligence',
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'Topic :: Software Development',
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'Topic :: Software Development :: Libraries',
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'Topic :: Software Development :: Libraries :: Python Modules',
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],
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python_requires='>=2.7,!=3.0.*,!=3.1.*,!=3.2.*,!=3.3.*',
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# What does your project relate to?
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keywords='machine_learning denoising classification weak_supervision learning_with_noisy_labels unsupervised_learning',
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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=[]),
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# Include cleanlab license file.
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include_package_data=True,
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package_data={
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"": ["LICENSE"],
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},
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license_files = ('LICENSE',),
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cmdclass = {'egg_info': egg_info_ex},
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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>=1.11.3', 'scikit-learn>=0.18', 'scipy>=1.1.0', 'tqdm>=4.53.0', ],
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)
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