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setup.py
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setup.py
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import os
import re
import sys
import platform
import subprocess
from setuptools import setup, Extension, find_packages
from setuptools.command.build_ext import build_ext
from distutils.version import LooseVersion
def requirements():
list_requirements = []
with open('requirements.txt') as f:
for line in f:
list_requirements.append(line.rstrip())
return list_requirements
class CMakeExtension(Extension):
"""
@see https://github.com/pybind/cmake_example/blob/master/setup.py
"""
def __init__(self, name, sourcedir=''):
Extension.__init__(self, name, sources=[])
self.sourcedir = os.path.abspath(sourcedir)
class CMakeBuild(build_ext):
"""
@see https://github.com/pybind/cmake_example/blob/master/setup.py
"""
def run(self):
try:
out = subprocess.check_output(['cmake', '--version'])
except OSError:
raise RuntimeError("CMake must be installed to build the following extensions: " +
", ".join(e.name for e in self.extensions))
if platform.system() == "Windows":
cmake_version = LooseVersion(re.search(r'version\s*([\d.]+)', out.decode()).group(1))
if cmake_version < '3.1.0':
raise RuntimeError("CMake >= 3.1.0 is required on Windows")
for ext in self.extensions:
self.build_extension(ext)
def build_extension(self, ext):
extdir = os.path.abspath(os.path.dirname(self.get_ext_fullpath(ext.name)))
cmake_args = ['-DCMAKE_LIBRARY_OUTPUT_DIRECTORY=' + extdir,
'-DPYTHON_EXECUTABLE=' + sys.executable]
cfg = 'Debug' if self.debug else 'Release'
build_args = ['--config', cfg]
if platform.system() == "Windows":
cmake_args += ['-DCMAKE_LIBRARY_OUTPUT_DIRECTORY_{}={}'.format(cfg.upper(), extdir)]
if sys.maxsize > 2 ** 32:
cmake_args += ['-A', 'x64']
build_args += ['--', '/m']
else:
cmake_args += ['-DCMAKE_BUILD_TYPE=' + cfg]
build_args += ['--', '-j2']
env = os.environ.copy()
env['CXXFLAGS'] = '{} -DVERSION_INFO=\\"{}\\"'.format(env.get('CXXFLAGS', ''),
self.distribution.get_version())
if not os.path.exists(self.build_temp):
os.makedirs(self.build_temp)
subprocess.check_call(['cmake', ext.sourcedir] + cmake_args, cwd=self.build_temp, env=env)
subprocess.check_call(['cmake', '--build', '.'] + build_args, cwd=self.build_temp)
setup(
name='pqkmeans',
version='1.0.6',
author='Keisuke Ogaki, Yusuke Matsui',
author_email='keisuke_ogaki@dwango.co.jp, matsui528@gmail.com',
license='MIT License',
url='http://yusukematsui.me/project/pqkmeans/pqkmeans.html',
description='Fast and memory-efficient clustering',
long_description='''
PQk-means [Matsui, Ogaki, Yamasaki, and Aizawa, ACMMM 17] is a Python library for efficient clustering of large-scale data. By first compressing input vectors into short product-quantized (PQ) codes, PQk-means achieves fast and memory-efficient clustering, even for high-dimensional vectors. Similar to k-means, PQk-means repeats the assignment and update steps, both of which can be performed in the PQ-code domain.
For a comparison, we provide the ITQ encoding for the binary conversion and Binary k-means [Gong+, CVPR 15] for the clustering of binary codes.
The library is written in C++ for the main algorithm with wrappers for Python. All encoding/clustering codes are compatible with scikit-learn.
''',
install_requires=requirements(),
packages=find_packages(),
ext_modules=[CMakeExtension('_pqkmeans')],
cmdclass=dict(build_ext=CMakeBuild),
test_suite='test',
zip_safe=False,
extras_require={
"texmex": ["texmex-python>=1.0.0"],
},
)