xautodl/setup.py
2021-05-18 14:08:00 +00:00

60 lines
1.7 KiB
Python

#####################################################
# Copyright (c) Xuanyi Dong [GitHub D-X-Y], 2021.05 #
#####################################################
"""The setup function for pypi."""
# The following is to make nats_bench avaliable on Python Package Index (PyPI)
#
# conda install -c conda-forge twine # Use twine to upload nats_bench to pypi
#
# python setup.py sdist bdist_wheel
# python setup.py --help-commands
# twine check dist/*
#
# twine upload --repository-url https://test.pypi.org/legacy/ dist/*
# twine upload dist/*
# https://pypi.org/project/xautodl
#
# TODO(xuanyidong): upload it to conda
#
# [2021.05.18] v1.0
import os
from setuptools import setup
NAME = "xautodl"
REQUIRES_PYTHON = ">=3.6"
DESCRIPTION = "Automated Deep Learning Package"
VERSION = "0.9.9"
def read(fname="README.md"):
with open(os.path.join(os.path.dirname(__file__), fname), encoding="utf-8") as cfile:
return cfile.read()
# What packages are required for this module to be executed?
REQUIRED = ["numpy>=1.16.5,<=1.19.5"]
setup(
name=NAME,
version=VERSION,
author="Xuanyi Dong",
author_email="dongxuanyi888@gmail.com",
description=DESCRIPTION,
license="MIT Licence",
keywords="NAS Dataset API DeepLearning",
url="https://github.com/D-X-Y/AutoDL-Projects",
packages=["xautodl"],
install_requires=REQUIRED,
python_requires=REQUIRES_PYTHON,
long_description=read("README.md"),
long_description_content_type="text/markdown",
classifiers=[
"Programming Language :: Python",
"Programming Language :: Python :: 3",
"Topic :: Database",
"Topic :: Scientific/Engineering :: Artificial Intelligence",
"License :: OSI Approved :: MIT License",
],
)