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setup.py
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setup.py
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"""
Python implementation of kernel Current Source Density method
"""
from setuptools import setup, find_packages
import sys
def readme():
"""
Used for README
"""
if sys.version_info.major < 3:
print('No support for python versions < 3.8')
with open('README.rst') as f:
return f.read().decode('utf-8')
else:
with open('README.rst', encoding='utf-8') as f:
return f.read()
setup(name='kcsd',
version='2.0.1',
description='kernel current source density methods',
long_description=readme(),
classifiers=[
'Development Status :: 5 - Production/Stable',
'License :: OSI Approved :: BSD 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',
'Operating System :: OS Independent',
'Topic :: Scientific/Engineering :: Medical Science Apps.',
'Intended Audience :: Science/Research',
],
keywords='Electrophysiology CSD LFP MEA',
url='https://github.com/Neuroinflab/kCSD-python',
author='Chaitanya Chintaluri et al',
license='Modified BSD License',
packages=find_packages(where="."),
include_package_data=True,
package_data={'kcsd':
['data/*',
'data/ball_and_stick_128/*',
'data/ball_and_stick_16/*',
'data/ball_and_stick_8/*',
'data/gang_7x7_200/*',
'data/morphology/*',
'data/Simple_with_branches/*',
'data/Y_shaped_neuron/*',
'tutorials/*',
'figures/*'
]
},
install_requires=['numpy>=1.19',
'scipy>=1.8.0',
'matplotlib>=3.6'],
extras_require={'docs': ['numpydoc>=1.6.0',
'sphinx>=5']},
test_suite='kcsd.tests',
zip_safe=False)