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setup.py
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import codecs
import os
import re
from setuptools import find_packages
from setuptools import setup
def readme():
with codecs.open('README.md', encoding='utf-8') as f:
content = f.read()
return content
def get_version():
version_file = os.path.join(os.path.dirname(__file__), "version.py")
version_regex = r"__version__ = ['\"]([^'\"]*)['\"]"
with open(version_file, "r") as f:
version = re.search(version_regex, f.read(), re.M).group(1)
return version
def parse_requirements(fname='requirements.txt'):
"""Parse the package dependencies listed in a requirements file."""
def parse_line(line):
"""Parse information from a line in a requirements text file."""
if line.startswith('-r '):
# Allow specifying requirements in other files
target = line.split(' ')[1]
for line in parse_require_file(target):
yield line
else:
yield line
def parse_require_file(fpath):
with codecs.open(fpath, 'r') as f:
for line in f.readlines():
line = line.strip()
if line and not line.startswith('#'):
for ll in parse_line(line):
yield ll
packages = list(parse_require_file(fname))
return packages
setup(
name='easy_tpp',
version=get_version(),
description='An easy and flexible tool for neural temporal point process',
url = 'https://github.com/ant-research/EasyTemporalPointProcess/',
# long_description = 'Our EasyTPP makes several unique contributions to this area: a unified interface of using existing datasets and adding new datasets; a wide range of evaluation programs that are easy to use and extend as well as facilitate reproducible research; implementations of popular neural TPPs, together with a rich library of modules by composing which one could quickly build complex models. ',
# long_description=open('README.md').read(),
# long_description_content_type='text/markdown',
author='Alipay',
packages=find_packages(exclude=["*.tests", "*.tests.*", "tests.*", "tests"]),
include_package_data=True,
classifiers=[
'Programming Language :: Python :: 3'
],
install_requires=parse_requirements('requirements.txt'))