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from setuptools import setup, find_packages
import io
import bmtk
package_name = 'bmtk'
package_version = bmtk.__version__
def read(*filenames, **kwargs):
encoding = kwargs.get('encoding', 'utf-8')
sep = kwargs.get('sep', '\n')
buf = []
for filename in filenames:
with io.open(filename, encoding=encoding) as f:
buf.append(f.read())
return sep.join(buf)
with open('README.md', 'r') as fhandle:
long_description = fhandle.read()
setup(
name=package_name,
version=package_version,
description='Brain Modeling Toolkit',
long_description=long_description,
long_description_content_type="text/markdown",
url='https://github.com/AllenInstitute/bmtk',
author='Kael Dai',
author_email='kaeld@alleninstitute.org',
keywords=['neuroscience', 'scientific', 'modeling', 'simulation'],
classifiers=[
'Development Status :: 5 - Production/Stable',
'Intended Audience :: Science/Research',
'License :: OSI Approved :: BSD License',
'Natural Language :: English',
'Operating System :: OS Independent',
'Programming Language :: Python :: 2.7',
'Programming Language :: Python :: 3.6',
'Programming Language :: Python :: 3.7',
'Programming Language :: Python :: 3.8',
'Programming Language :: Python :: 3.9',
'Topic :: Scientific/Engineering :: Bio-Informatics'
],
# setup_requires=['pytest-runner', 'flake8'],
tests_require=['pytest'],
install_requires=[
'jsonschema',
'pandas',
'numpy',
'six',
'h5py',
'matplotlib',
'enum; python_version <= "2.7"',
'scipy',
'scikit-image', # Only required for filternet, consider making optional
'sympy' # For FilterNet
],
extras_require={
'bionet': ['NEURON'],
'mintnet': ['tensorflow'],
'pointnet': ['NEST'],
'popnet': ['DiPDE']
},
packages=find_packages(exclude=['bmtk.tests', 'bmtk.tests.*']),
# package_data={'': ['*.md', '*.txt', '*.cfg', '**/*.json', '**/*.hoc']},
include_package_data=True,
platforms='any'
)
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