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setup.py
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setup.py
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# 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.
from setuptools import find_namespace_packages, setup
with open("README.rst", "r") as fh:
long_description = fh.read()
with open("src/braket/pennylane_plugin/_version.py") as f:
version = f.readlines()[-1].split()[-1].strip("\"'")
setup(
name="amazon-braket-pennylane-plugin",
version=version,
license="Apache License 2.0",
python_requires=">= 3.7.2",
packages=find_namespace_packages(where="src", exclude=("test",)),
package_dir={"": "src"},
install_requires=[
"amazon-braket-sdk>=1.30.0",
"pennylane>=0.25.1",
],
entry_points={
"pennylane.plugins": [
# List the short name of each device provided by
# the plugin, as well as the path to the Device class
# it corresponds to in the plugin. This allows
# the device to be imported automatically via the
# `pennylane.device` device loader.
"braket.aws.qubit = braket.pennylane_plugin:BraketAwsQubitDevice",
"braket.local.qubit = braket.pennylane_plugin:BraketLocalQubitDevice",
]
},
extras_require={
"test": [
"black",
"docutils<0.16,>=0.10",
"flake8",
"isort",
"pre-commit",
"pylint",
"pytest",
"pytest-cov",
"pytest-mock",
"pytest-rerunfailures",
"pytest-xdist",
"sphinx",
"sphinx-automodapi",
"sphinx-rtd-theme",
"sphinxcontrib-apidoc",
"tox",
"tensorflow>=2.6.0",
"torch>=1.11",
]
},
url="https://github.com/aws/amazon-braket-pennylane-plugin-python",
author="Amazon Web Services",
description=(
"An open source framework for using Amazon Braket devices with the PennyLane"
" quantum machine learning library"
),
long_description=long_description,
long_description_content_type="text/x-rst",
keywords="Amazon AWS Quantum",
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",
],
)