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476455e | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 | # 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 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
# Declare minimal set for installation
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",
]
# Specific use case dependencies
# Keep format of *_requirements.txt to be tracked by dependabot
extras = {
"local": read_requirements("requirements/extras/local_requirements.txt"),
"scipy": read_requirements("requirements/extras/scipy_requirements.txt"),
}
# 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"] + 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",
]
},
)
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