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setup.py
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setup.py
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from codecs import open
import glob
import logging
import os
import platform
import sys
from setuptools import setup, find_packages, Extension
import numpy as np
from Cython.Build import cythonize
from Cython.Distutils import build_ext
NAME = "LibRecommender"
VERSION = "0.8.2"
here = os.path.abspath(os.path.dirname(__file__))
# Get the long description from README.md
with open(os.path.join(here, 'README.md'), encoding='utf-8') as f:
long_description = f.read()
# get the dependencies and installs
with open(os.path.join(here, 'requirements.txt'), encoding='utf-8') as f:
all_reqs = f.read().split('\n')
install_requires = [x.strip() for x in all_reqs]
def extract_gcc_binaries():
"""Try to find GCC on OSX for OpenMP support."""
patterns = [
"/opt/local/bin/g++-mp-[0-9]*.[0-9]*",
"/opt/local/bin/g++-mp-[0-9]*",
"/usr/local/bin/g++-[0-9]*.[0-9]*",
"/usr/local/bin/g++-[0-9]*",
]
if platform.system() == "Darwin":
gcc_binaries = []
for pattern in patterns:
gcc_binaries += glob.glob(pattern)
gcc_binaries.sort()
if gcc_binaries:
_, gcc = os.path.split(gcc_binaries[-1])
return gcc
else:
return None
else:
return None
if sys.platform.startswith("win"):
compile_args = ["/O2", "/openmp"]
link_args = []
else:
use_openmp = True
compile_args = ["-Wno-unused-function", "-Wno-maybe-uninitialized",
"-O3", "-ffast-math"]
link_args = []
if sys.platform.startswith("darwin"):
gcc = extract_gcc_binaries()
if gcc is not None:
logging.info(f"gcc on macOS: {gcc}")
os.environ["CC"] = gcc
os.environ["CXX"] = gcc
else:
use_openmp = False
logging.warning(
"No GCC available. Install gcc from Homebrew: brew install gcc."
)
if use_openmp:
compile_args.append("-fopenmp")
link_args.append("-fopenmp")
compile_args.append("-std=c++11")
link_args.append("-std=c++11")
extensions = [
Extension('libreco.algorithms._bpr',
[os.path.join("libreco", "algorithms", "_bpr.pyx")],
include_dirs=[np.get_include()],
language="c++",
extra_compile_args=compile_args,
extra_link_args=link_args),
Extension('libreco.algorithms._als',
[os.path.join("libreco", "algorithms", "_als.pyx")],
include_dirs=[np.get_include()],
language="c++",
extra_compile_args=compile_args,
extra_link_args=link_args),
Extension('libreco.utils._similarities',
[os.path.join("libreco", "utils", "_similarities.pyx")],
include_dirs=[np.get_include()],
language="c++",
extra_compile_args=compile_args,
extra_link_args=link_args),
]
setup(
name=NAME,
author="massquantity",
author_email="jinxin_madie@163.com",
description=(
'A collaborative-filtering and content-based recommender system '
'for both explicit and implicit datasets.'
),
long_description=long_description,
long_description_content_type='text/markdown',
version=VERSION,
url='https://github.com/massquantity/LibRecommender',
license='MIT',
classifiers=[
'Development Status :: 4 - Beta',
'Intended Audience :: Developers',
'Intended Audience :: Education',
'Intended Audience :: Science/Research',
'License :: OSI Approved :: MIT License',
'Programming Language :: Python :: 3.6',
'Programming Language :: Python :: 3.7',
'Programming Language :: Python :: 3.8',
'Programming Language :: Python :: 3.9',
'Programming Language :: Cython',
],
keywords=['Matrix Factorization', 'Collaborative Filtering',
'Content-Based', 'Recommender System',
'Deep Learning', 'Data Mining'],
packages=find_packages(exclude=['test*', 'examples']),
setup_requires=["Cython>=0.29"],
include_package_data=True,
ext_modules=cythonize(extensions),
cmdclass={'build_ext': build_ext},
install_requires=install_requires,
)