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setup.py
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setup.py
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#!/usr/bin/env python
"""The setup script."""
import os
from setuptools import find_packages, setup
def read_requirements(thelibFolder, filename):
requirementPath = os.path.join(thelibFolder, filename)
requirements = []
if os.path.isfile(requirementPath):
with open(requirementPath) as f:
requirements = f.read().splitlines()
return requirements
with open("README.md") as readme_file:
readme = readme_file.read()
with open("docs/history.md") as history_file:
history = history_file.read()
this_folder = os.path.dirname(os.path.realpath(__file__))
req_folder = os.path.join(this_folder, "requirements")
requirements = read_requirements(req_folder, "base.txt")
requirements_testing = read_requirements(req_folder, "dev.txt")
requirements_extra = read_requirements(req_folder, "extra.txt")
# setup_requirements = ['pytest-runner', ]
test_requirements = requirements_testing
setup(
author="Manu Joseph",
author_email="manujosephv@gmail.com",
python_requires=">=3.8",
classifiers=[
"Development Status :: 4 - Beta",
"Intended Audience :: Developers",
"License :: OSI Approved :: MIT License",
"Natural Language :: English",
"Programming Language :: Python :: 3",
"Programming Language :: Python :: 3.8",
"Programming Language :: Python :: 3.9",
"Programming Language :: Python :: 3.10",
],
description="A standard framework for using Deep Learning for tabular data",
install_requires=requirements,
extras_require={"extra": requirements_extra, "dev": requirements_testing},
license="MIT license",
long_description=readme + "\n\n" + history,
long_description_content_type="text/markdown",
include_package_data=True,
keywords="pytorch, tabular, pytorch-lightning, neural network",
name="pytorch_tabular",
packages=find_packages(where="src", include=["pytorch_tabular", "pytorch_tabular.*"]),
package_dir={"": "src"},
# setup_requires=test_requirements,
test_suite="tests",
tests_require=test_requirements,
url="https://github.com/manujosephv/pytorch_tabular",
version="1.1.0",
zip_safe=False,
)