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setup.py
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setup.py
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#!/usr/bin/env python
"""The setup script."""
from setuptools import setup, find_namespace_packages
with open('README.md') as readme_file:
readme = readme_file.read()
# with open('docs/HISTORY.md') as history_file:
# history = history_file.read()
requirements = [
'pandas>=1.0.3',
'numba>=0.46.0',
'numpy>=1.17.4',
'scipy>=1.3.2',
'pynwb>=2.0.0',
'tabulate',
'h5py',
'rich'
]
test_requirements = [
'pytest',
'isort',
'pip-tools',
'flake8',
'coverage'
]
setup(
author="Guillaume Viejo",
author_email='guillaume.viejo@gmail.com',
python_requires='>=3.8',
classifiers=[
'Development Status :: 3 - Alpha',
'Intended Audience :: Science/Research',
'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',
],
description="PYthon Neural Analysis Package Pour Laboratoires d’Excellence",
install_requires=requirements,
license="MIT License",
# long_description='pynapple is a Python library for analysing neurophysiological data. It allows to handle time series and epochs but also to use generic functions for neuroscience such as tuning curves and cross-correlogram of spikes. It is heavily based on neuroseries.'
# + '\n\n' + history,
long_description=readme,
include_package_data=True,
keywords='neuroscience',
name='pynapple',
packages=find_namespace_packages(
include=['pynapple', 'pynapple.*'],
exclude=['tests']
),
test_suite='tests',
tests_require=test_requirements,
url='https://github.com/pynapple-org/pynapple',
version='v0.7.1',
zip_safe=False,
long_description_content_type='text/markdown',
download_url='https://github.com/pynapple-org/pynapple/archive/refs/tags/v0.7.1.tar.gz'
)