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setup.py
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137 lines (120 loc) · 3.52 KB
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#!/usr/bin/env python
# -*- coding: utf-8 -*-
"""The setup script."""
from setuptools import setup, find_packages
with open('README.md', encoding='utf-8') as readme_file:
readme = readme_file.read()
with open('HISTORY.md', encoding='utf-8') as history_file:
history = history_file.read()
install_requires = [
'Keras>=2.4',
'featuretools>=0.6.1,<0.23',
'iso639>=0.1.4,<0.2',
'langdetect>=1.0.7,<2',
'mlblocks>=0.6,<0.7',
'networkx>=2.0,<3',
'nltk>=3.3,<4',
'numpy>=1.16.0,<2',
'opencv-python>=3.4.0.12,<4.7',
'pandas>=1,<3',
'python-louvain>=0.10,<0.14', # community
'scikit-image>=0.15',
'scikit-learn>=0.21',
'scipy>=1.1.0,<2',
'statsmodels>=0.9.0,<0.15',
'tensorflow>=2,<2.20',
'xgboost>=0.72.1,<2',
'protobuf<4',
]
setup_requires = [
'pytest-runner>=2.11.1',
]
tests_require = [
'pytest>=3.4.2',
'pytest-cov>=2.6.0',
'rundoc>=0.4.3,<0.5',
]
development_requires = [
# general
'bumpversion>=0.5.3,<0.6',
'pip>=9.0.1',
'watchdog>=0.8.3,<5',
# docs
'm2r>=0.2.0,<0.3',
'Sphinx>=1.7.1,<3',
'sphinx_rtd_theme>=0.2.4,<0.5',
'docutils>=0.14,<0.18',
'ipython>=6.5.0',
'mistune>=0.7,<2',
'Jinja2>=2,<3.1',
# fails on Sphinx < v3.4
'alabaster<=0.7.12',
# fails on Sphins < v5.0
'sphinxcontrib-applehelp<1.0.8',
'sphinxcontrib-devhelp<1.0.6',
'sphinxcontrib-htmlhelp<2.0.5',
'sphinxcontrib-serializinghtml<1.1.10',
'sphinxcontrib-qthelp<1.0.7',
# style check
'flake8>=3.7.7,<4',
'isort>=4.3.4,<5',
# fix style issues
'autoflake>=1.1,<2',
'autopep8>=1.4.3,<2',
'importlib-metadata<5',
# distribute on PyPI
'twine>=1.10.0,<4',
'wheel>=0.30.0',
# Advanced testing
'coverage>=4.5.1,<6',
'tox>=2.9.1,<4',
]
extras_require = {
'test': tests_require,
'dev': tests_require + development_requires,
}
setup(
author='MIT Data To AI Lab',
author_email='dailabmit@gmail.com',
classifiers=[
'Development Status :: 2 - Pre-Alpha',
'Intended Audience :: Developers',
'License :: OSI Approved :: MIT License',
'Natural Language :: English',
'Programming Language :: Python :: 3',
'Programming Language :: Python :: 3.8',
'Programming Language :: Python :: 3.9',
'Programming Language :: Python :: 3.10',
'Programming Language :: Python :: 3.11',
'Programming Language :: Python :: 3.12',
],
description='Pipelines and primitives for machine learning and data science.',
entry_points = {
'console_scripts': [
'mlprimitives=mlprimitives.cli:main'
],
'mlblocks': [
'primitives=mlprimitives:MLBLOCKS_PRIMITIVES',
'pipelines=mlprimitives:MLBLOCKS_PIPELINES'
],
'mlprimitives': [
'jsons_path=mlprimitives:MLBLOCKS_PRIMITIVES',
]
},
extras_require=extras_require,
include_package_data=True,
install_requires=install_requires,
keywords='mlblocks mlprimitives pipelines primitives machine learning data science',
license='MIT license',
long_description=readme + '\n\n' + history,
long_description_content_type='text/markdown',
name='mlprimitives',
packages=find_packages(include=['mlprimitives', 'mlprimitives.*']),
python_requires='>=3.8,<3.13',
setup_requires=setup_requires,
test_suite='tests',
tests_require=tests_require,
url='https://github.com/MLBazaar/MLPrimitives',
version='0.4.2.dev0',
zip_safe=False,
)