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setup.py
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setup.py
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from setuptools import setup, find_packages
with open('README.md') as readme_file:
readme = readme_file.read()
install_requires = [
'numpy>=1.21.6',
'pandas>=1.3.5',
'scikit-learn>=1.0.2',
'scipy>=1.7.3',
'tensorflow>=2.8.2',
'keras>=2.8.0',
'tqdm>=4.64.0',
'plotly>=5.5.0',
'ripser>=0.6.4'
]
setup_requires = [
'pytest-runner>=6.0.0',
]
test_require = [
'pytest>=7.1.2',
'pytest-cov>=3.0.0',
]
development_requirements = [
# general
'bumpversion>=0.6.0',
'pip>=22.2.2',
'watchdog>=2.1.9',
# docs
'm2r>=0.2.0',
'Sphinx>=1.7.1',
'sphinx_rtd_theme>=0.2.4',
# style check
'flake8>=3.5.0',
'isort>=4.3.4',
# fix style issues
'autoflake>=1.5.1',
'autopep8>=1.7.0',
# distribute on PyPI
'twine>=4.0.1',
'wheel>=0.37.1',
]
extras_require = {
'test': test_require,
'dev': development_requirements + test_require,
}
setup(
name='nbsynthetic',
keywords='nbsynthetic',
version='0.2.0',
author="Javier Marin (NextBrain.ml)",
author_email='javier.marin@softpoint.es',
packages=find_packages(include=['nbsynthetic', 'nbsynthetic.*']),
url='https://github.com/NextBrain-ai/nbsynthetic',
license="MIT license",
description="Unsupervised synthetic data generator",
classifiers=[
'Development Status :: Pre Alpha',
'Intended Audience :: Mide-level users',
'License :: MIT License',
'Natural Language :: English',
'Programming Language :: Python :: 3.7',
'Programming Language :: Python :: 3.8',
],
extras_require=extras_require,
# entry_points={
# 'console_scripts': [
# 'nbsynthetic=nbsynthetic.cli:main'
# ]
# },
install_requires=install_requires,
long_description=readme + '\n\n',
long_description_content_type='text/markdown',
include_package_data=True,
python_requires='>=3.7',
setup_requires=setup_requires,
test_suite='tests',
tests_require=test_require,
zip_safe=False,
)