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from io import open
from setuptools import find_packages, setup
def parse_requirements(filename):
"""
Parse a requirements pip file returning the list of required packages. It exclude commented lines and --find-links directives.
Args:
filename: pip requirements requirements
Returns:
list of required package with versions constraints
"""
with open(filename) as file:
parsed_requirements = file.read().splitlines()
parsed_requirements = [line.strip()
for line in parsed_requirements
if not ((line.strip()[0] == "#") or line.strip().startswith('--find-links') or ("git+https" in line))]
return parsed_requirements
def get_dependency_links(filename):
"""
Parse a requirements pip file looking for the --find-links directive.
Args:
filename: pip requirements requirements
Returns:
list of find-links's url
"""
with open(filename) as file:
parsed_requirements = file.read().splitlines()
dependency_links = list()
for line in parsed_requirements:
line = line.strip()
if line.startswith('--find-links'):
dependency_links.append(line.split('=')[1])
return dependency_links
dependency_links = get_dependency_links('requirements.txt')
parsed_requirements = parse_requirements('requirements.txt')
setup(
name="farm-haystack",
version="0.7.0",
author="Malte Pietsch, Timo Moeller, Branden Chan, Tanay Soni",
author_email="malte.pietsch@deepset.ai",
description="Neural Question Answering & Semantic Search at Scale. Use modern transformer based models like BERT to find answers in large document collections",
long_description=open("README.md", "r", encoding="utf-8").read(),
long_description_content_type="text/markdown",
keywords="QA Question-Answering Reader Retriever semantic-search search BERT roberta albert squad mrc transfer-learning language-model transformer",
license="Apache",
url="https://github.com/deepset-ai/haystack",
download_url="https://github.com/deepset-ai/haystack/archive/0.7.0.tar.gz",
packages=find_packages(exclude=["*.tests", "*.tests.*", "tests.*", "tests"]),
dependency_links=dependency_links,
install_requires=parsed_requirements,
python_requires=">=3.6.0",
tests_require=["pytest"],
classifiers=[
"Intended Audience :: Science/Research",
"License :: OSI Approved :: Apache Software License",
"Programming Language :: Python :: 3",
"Topic :: Scientific/Engineering :: Artificial Intelligence",
],
)