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#%%
import io
import os
from setuptools import setup, find_packages
# version of cudatoolkit and tensorflow
REQUIRED = [
'numpy>=1.20',
'scikit-learn>=0.22',
'pandas',
'scipy>=1.4.1',
'seaborn',
'matplotlib>=3.3.0',
'tqdm',
'scanpy>=1.5',
'statsmodels',
'anndata>=0.7.5',
'scvelo>=0.2.2',
'IPython',
'ipykernel',
'IProgress',
'ipywidgets',
'jupyter',
'tensorflow>=2.4.1'
]
here = os.path.abspath(os.path.dirname(__file__))
with io.open(os.path.join(here, 'README.md'), encoding='utf-8') as f:
long_description = '\n' + f.read()
setup(
name='unitvelo',
version='0.2.5',
# use_scm_version=True,
# setup_requires=['setuptools_scm'],
description='Temporally unified RNA velocity inference',
long_description=long_description,
long_description_content_type='text/markdown',
author='Mingze Gao',
author_email='[email protected]',
python_requires='>=3.7.0',
url='https://github.com/StatBiomed/UniTVelo',
packages=find_packages(),
entry_points={
'console_scripts': ['unitvelo = unitvelo.main:run_model'],
},
install_requires=REQUIRED,
extras_require={'parallel': ['multiprocessing>=3.8']},
include_package_data=True,
license='BSD',
keywords=[
'RNA velocity',
'Unified time',
'Transcriptomics',
'Kinetic',
'Trajectory inference'
],
classifiers=[
# Full list: https://pypi.python.org/pypi?%3Aaction=list_classifiers
'License :: OSI Approved :: BSD License',
'Development Status :: 4 - Beta',
'Intended Audience :: Science/Research',
'Natural Language :: English',
'Programming Language :: Python',
'Programming Language :: Python :: 3',
'Programming Language :: Python :: 3.7',
'Programming Language :: Python :: 3.8',
'Programming Language :: Python :: 3.9',
'Topic :: Scientific/Engineering :: Bio-Informatics',
'Topic :: Scientific/Engineering :: Visualization'
]
)