# Copyright (c) 2019 PaddlePaddle Authors. All Rights Reserved. # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law or agreed to in writing, software # distributed under the License is distributed on an "AS IS" BASIS, # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. # See the License for the specific language governing permissions and # limitations under the License. """Setup for pip package.""" from __future__ import absolute_import from __future__ import division from __future__ import print_function from setuptools import find_packages from setuptools import setup from plsc.version import plsc_version REQUIRED_PACKAGES = [ 'sklearn', 'easydict', 'Pillow', 'numpy', 'scipy' ] setup( name="plsc", version=plsc_version, description= ("PaddlePaddle Large Scale Classfication Package."), long_description='', url='https://github.com/PaddlePaddle/PLSC', author='PaddlePaddle Authors', author_email='paddle-dev@baidu.com', install_requires=REQUIRED_PACKAGES, packages=find_packages(), # PyPI package information. classifiers=[ 'Development Status :: 4 - Beta', 'Intended Audience :: Developers', 'Intended Audience :: Education', 'Intended Audience :: Science/Research', 'License :: OSI Approved :: Apache Software License', 'Programming Language :: Python :: 2.7', 'Programming Language :: Python :: 3', 'Programming Language :: Python :: 3.4', 'Programming Language :: Python :: 3.5', 'Programming Language :: Python :: 3.6', 'Topic :: Scientific/Engineering', 'Topic :: Scientific/Engineering :: Mathematics', 'Topic :: Scientific/Engineering :: Artificial Intelligence', 'Topic :: Software Development', 'Topic :: Software Development :: Libraries', 'Topic :: Software Development :: Libraries :: Python Modules', ], license="Apache 2.0", keywords= ('plsc paddlepaddle large-scale classification model-parallelism distributed-training'))