text: # Copyright 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.
  """Placeholder docstring"""
  from __future__ import absolute_import
  
  import os
  from glob import glob
  
  from setuptools import setup, find_packages
  
  
  def read(fname):
      """
      Args:
          fname:
      """
      return open(os.path.join(os.path.dirname(__file__), fname)).read()
  
  
  def read_version():
      return read("VERSION").strip()
  
  
  # Declare minimal set for installation
  required_packages = [
      "attrs",
      "boto3>=1.20.21",
      "google-pasta",
      "numpy>=1.9.0",
      "protobuf>=3.1",
      "protobuf3-to-dict>=0.1.5",
      "smdebug_rulesconfig==1.0.1",
      "importlib-metadata>=1.4.0",
      "packaging>=20.0",
      "pandas",
      "pathos",
  ]
  
  # Specific use case dependencies
  extras = {
      "local": [
          "urllib3>=1.21.1,!=1.25,!=1.25.1",
          "docker-compose>=1.25.2",
          "docker==5.0.0",
          "PyYAML>=5.3, <6",  # PyYAML version has to match docker-compose requirements
      ],
      "scipy": ["scipy>=0.19.0"],
  }
  # Meta dependency groups
  extras["all"] = [item for group in extras.values() for item in group]
  # Tests specific dependencies (do not need to be included in 'all')
  extras["test"] = (
      [
          extras["all"],
          "tox",
          "flake8",
          "pytest<6.1.0",
          "pytest-cov",
          "pytest-rerunfailures",
          "pytest-timeout",
          "pytest-xdist==2.4.0",
          "coverage<6.2",
          "mock",
          "contextlib2",
          "awslogs",
          "black",
          "stopit==1.1.2",
          "apache-airflow==1.10.11",
          "fabric>=2.0",
          "requests>=2.20.0, <3",
          "sagemaker-experiments",
      ],
  )
  
  setup(
      name="sagemaker",
      version=read_version(),
      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")],
      include_package_data=True,
      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 :: 3.6",
          "Programming Language :: Python :: 3.7",
          "Programming Language :: Python :: 3.8",
          "Programming Language :: Python :: 3.9",
      ],
      install_requires=required_packages,
      extras_require=extras,
      entry_points={
          "console_scripts": [
              "sagemaker-upgrade-v2=sagemaker.cli.compatibility.v2.sagemaker_upgrade_v2:main",
          ]
      },
  )
  