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setup.py
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setup.py
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#####################################################
# Copyright (c) Xuanyi Dong [GitHub D-X-Y], 2021.09 #
#####################################################
"""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/awesome_autodl
#
#
# or install from local: `pip install . --force`
#
import os
import glob
from pathlib import Path
from setuptools import setup, find_packages
from awesome_autodl import version
NAME = "awesome_autodl"
REQUIRES_PYTHON = ">=3.6"
DESCRIPTION = "Package for Automated Deep Learning Paper Analysis"
VERSION = version()
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 = ["pyyaml>=5.0.0"]
packages = find_packages(exclude=("tests", "checklist", "docs"))
print(f"packages: {packages}")
def endswith(xstring, targets):
assert isinstance(
targets, (list, tuple)
), f"invalid type of targets: {type(targets)}"
for target in targets:
if xstring.endswith(target):
return True
return False
def recursive_find_file(xdir, cur_depth=1, max_depth=1, suffixs=None):
assert isinstance(suffixs, (list, tuple)) and len(
suffixs
), f"invalid suffixs of {suffixs}"
xdirs = []
for xfile in Path(xdir).glob("*"):
if xfile.is_dir() and cur_depth < max_depth:
xdirs += recursive_find_file(xfile, cur_depth + 1, max_depth, suffixs)
elif endswith(xfile.name, suffixs):
xdirs.append(str(xfile))
return xdirs
def find_yaml(xstring):
return recursive_find_file(xstring, suffixs=(".yaml",))
def find_yaml_bib(xstring):
return recursive_find_file(xstring, suffixs=(".yaml", ".bib"))
setup(
name=NAME,
version=VERSION,
author="Xuanyi Dong",
author_email="[email protected]",
description=DESCRIPTION,
license="MIT Licence",
keywords="NAS Dataset API DeepLearning",
url="https://github.com/D-X-Y/Awesome-AutoDL",
include_package_data=True,
packages=packages,
package_data={
f"{NAME}/raw_data": find_yaml_bib(f"{NAME}/raw_data"),
f"{NAME}/raw_data/papers": find_yaml(f"{NAME}/raw_data/papers"),
},
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",
],
)