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setup.py
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"""Setup script for convnwb."""
import os
from setuptools import setup, find_packages
# Get the current version number from inside the module
with open(os.path.join('convnwb', 'version.py')) as version_file:
exec(version_file.read())
# Load the long description from the README
with open('README.rst') as readme_file:
long_description = readme_file.read()
# Load the required dependencies from the requirements file
with open("requirements.txt") as requirements_file:
install_requires = requirements_file.read().splitlines()
setup(
name = 'convnwb',
version = __version__,
description = 'Helper code for converting data to NWB.',
long_description = long_description,
long_description_content_type = 'text/x-rst',
python_requires = '>=3.6',
packages = find_packages(),
license = 'MIT License',
classifiers = [
'Development Status :: 4 - Beta',
'Intended Audience :: Science/Research',
'Topic :: Scientific/Engineering',
'License :: OSI Approved :: MIT License',
'Operating System :: Microsoft :: Windows',
'Operating System :: MacOS',
'Operating System :: POSIX',
'Operating System :: Unix',
'Programming Language :: Python',
'Programming Language :: Python :: 3.6',
'Programming Language :: Python :: 3.7',
'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',
'Programming Language :: Python :: 3.13',
],
platforms = 'any',
project_urls = {
'Documentation' : 'https://hsupipeline.github.io/convnwb/',
'Bug Reports' : 'https://github.com/HSUPipeline/convnwb/issues',
'Source' : 'https://github.com/HSUPipeline/convnwb',
},
download_url = 'https://github.com/HSUPipeline/convnwb/releases',
keywords = ['neuroscience', 'single units', 'data management', 'neurodata without borders'],
install_requires = install_requires,
tests_require = ['pytest'],
extras_require = {
'compute' : ['scipy', 'scikit-learn'],
'data' : ['pandas', 'h5py', 'pynwb'],
'plot' : ['matplotlib'],
'all' : ['scipy', 'scikit-learn', 'pandas', 'h5py', 'pynwb', 'matplotlib'],
}
)