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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_packages
with open("README.rst") as readme_file:
readme = readme_file.read()
with open("HISTORY.rst") as history_file:
history = history_file.read()
requirements = []
test_requirements = []
setup(
author="Mitchell Robert Vollger",
author_email="[email protected]",
python_requires=">=3.6",
classifiers=[
"Development Status :: 2 - Pre-Alpha",
"Intended Audience :: Developers",
"License :: OSI Approved :: MIT License",
"Natural Language :: English",
"Programming Language :: Python :: 3",
"Programming Language :: Python :: 3.6",
"Programming Language :: Python :: 3.7",
"Programming Language :: Python :: 3.8",
],
description="m6A calling from PacBio data using ML.",
entry_points={
"console_scripts": [
"m6Acalling=m6a_calling.cli:main",
"m6adata=m6a_calling.m6adata:main",
"m6aXGBoost=m6a_calling.m6a_train_xgboost:main",
"m6aMLdata=m6a_calling.m6amldata:main",
"m6a_semi_supervised_cnn=m6a_calling.m6a_semi_supervised_cnn:main",
"m6a_semi_supervised_cnn_predict=m6a_calling.m6a_semi_supervised_cnn_predict:main",
"m6a_supervised_cnn=m6a_calling.m6a_supervised_cnn:main",
"m6a_supervised_cnn_var=m6a_calling.m6a_supervised_cnn_var:main",
"m6a_supervised_cnn_var_predict=m6a_calling.m6a_supervised_cnn_var_predict:main",
"m6a_semi_supervised_cnn_gen=m6a_calling.m6a_semi_supervised_cnn_gen:main",
"m6a_semi_supervised_cnn_predict_gen=m6a_calling.m6a_semi_supervised_cnn_predict_gen:main",
],
},
install_requires=requirements,
license="MIT license",
long_description=readme + "\n\n" + history,
include_package_data=True,
keywords="m6a_calling",
name="m6a_calling",
packages=find_packages(include=["m6a_calling", "m6a_calling.*"]),
test_suite="tests",
tests_require=test_requirements,
url="https://github.com/mrvollger/m6a_calling",
version="0.1.0",
zip_safe=False,
)