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setup.py
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setup.py
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# Copyright 2017-2018 Amazon.com, Inc. or its affiliates. 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. A copy of
# the License is located at
#
# http://aws.amazon.com/apache2.0/
#
# or in the "license" file accompanying this file. This file 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.
from __future__ import absolute_import
import os
from glob import glob
import sys
from setuptools import setup, find_packages
def read(fname):
return open(os.path.join(os.path.dirname(__file__), fname)).read()
# Declare minimal set for installation
required_packages = ['boto3>=1.9.64', 'numpy>=1.9.0', 'protobuf>=3.1', 'scipy>=0.19.0',
'urllib3>=1.21', 'protobuf3-to-dict>=0.1.5', 'docker-compose>=1.23.0',
'requests>=2.20.0, <2.21']
# enum is introduced in Python 3.4. Installing enum back port
if sys.version_info < (3, 4):
required_packages.append('enum34>=1.1.6')
setup(name="sagemaker",
version='1.18.1',
description="Open source library for training and deploying models on Amazon SageMaker.",
packages=find_packages('src'),
package_dir={'': 'src'},
py_modules=[os.path.splitext(os.path.basename(path))[0] for path in glob('src/*.py')],
long_description=read('README.rst'),
author="Amazon Web Services",
url='https://github.com/aws/sagemaker-python-sdk/',
license="Apache License 2.0",
keywords="ML Amazon AWS AI Tensorflow MXNet",
classifiers=[
"Development Status :: 5 - Production/Stable",
"Intended Audience :: Developers",
"Natural Language :: English",
"License :: OSI Approved :: Apache Software License",
"Programming Language :: Python",
"Programming Language :: Python :: 2.7",
"Programming Language :: Python :: 3.5",
],
install_requires=required_packages,
extras_require={
'test': ['tox', 'flake8', 'pytest', 'pytest-cov', 'pytest-xdist',
'mock', 'tensorflow>=1.3.0', 'contextlib2', 'awslogs', 'pandas']},
entry_points={
'console_scripts': ['sagemaker=sagemaker.cli.main:main'],
}
)