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| | |
| | """Placeholder docstring""" |
| | from __future__ import absolute_import |
| |
|
| | import os |
| | from glob import glob |
| |
|
| | from setuptools import find_packages, setup |
| |
|
| |
|
| | def read(fname): |
| | """ |
| | Args: |
| | fname: |
| | """ |
| | return open(os.path.join(os.path.dirname(__file__), fname)).read() |
| |
|
| |
|
| | def read_version(): |
| | return read("VERSION").strip() |
| |
|
| |
|
| | def read_requirements(filename): |
| | """Reads requirements file which lists package dependencies. |
| | |
| | Args: |
| | filename: type(str) Relative file path of requirements.txt file |
| | |
| | Returns: |
| | list of dependencies extracted from file |
| | """ |
| | with open(os.path.abspath(filename)) as fp: |
| | deps = [line.strip() for line in fp.readlines()] |
| | return deps |
| |
|
| |
|
| | |
| | required_packages = [ |
| | "attrs>=20.3.0,<23", |
| | "boto3>=1.20.21,<2.0", |
| | "google-pasta", |
| | "numpy>=1.9.0,<2.0", |
| | "protobuf>=3.1,<4.0", |
| | "protobuf3-to-dict>=0.1.5,<1.0", |
| | "smdebug_rulesconfig==1.0.1", |
| | "importlib-metadata>=1.4.0,<5.0", |
| | "packaging>=20.0", |
| | "pandas", |
| | "pathos", |
| | "schema", |
| | ] |
| |
|
| | |
| | |
| | extras = { |
| | "local": read_requirements("requirements/extras/local_requirements.txt"), |
| | "scipy": read_requirements("requirements/extras/scipy_requirements.txt"), |
| | } |
| | |
| | extras["all"] = [item for group in extras.values() for item in group] |
| | |
| | extras["test"] = (extras["all"] + read_requirements("requirements/extras/test_requirements.txt"),) |
| |
|
| | 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", |
| | python_requires=">= 3.6", |
| | classifiers=[ |
| | "Development Status :: 5 - Production/Stable", |
| | "Intended Audience :: Developers", |
| | "Natural Language :: English", |
| | "License :: OSI Approved :: Apache Software License", |
| | "Programming Language :: Python", |
| | "Programming Language :: Python :: 3.7", |
| | "Programming Language :: Python :: 3.8", |
| | "Programming Language :: Python :: 3.9", |
| | "Programming Language :: Python :: 3.10", |
| | ], |
| | install_requires=required_packages, |
| | extras_require=extras, |
| | entry_points={ |
| | "console_scripts": [ |
| | "sagemaker-upgrade-v2=sagemaker.cli.compatibility.v2.sagemaker_upgrade_v2:main", |
| | ] |
| | }, |
| | ) |
| |
|