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# Copyright 2022 Google LLC
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License 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.
import io
import itertools
import os
from typing import Dict
import setuptools
# Package metadata.
name = "bigframes"
description = (
"BigQuery DataFrames -- scalable analytics and machine learning with BigQuery"
)
# Should be one of:
# 'Development Status :: 3 - Alpha'
# 'Development Status :: 4 - Beta'
# 'Development Status :: 5 - Production/Stable'
release_status = "Development Status :: 3 - Alpha"
dependencies = [
# please keep these in sync with the minimum versions in testing/constraints-3.9.txt
"cloudpickle >= 2.0.0",
"fsspec >=2023.3.0",
"gcsfs >=2023.3.0",
"geopandas >=0.12.2",
"google-auth >=2.15.0,<3.0dev",
"google-cloud-bigquery[bqstorage,pandas] >=3.10.0",
"google-cloud-functions >=1.12.0",
"google-cloud-bigquery-connection >=1.12.0",
"google-cloud-iam >=2.12.1",
"google-cloud-resource-manager >=1.10.3",
"google-cloud-storage >=2.0.0",
"ibis-framework[bigquery] >=8.0.0,<9.0.0dev",
# TODO: Relax upper bound once we have fixed `system_prerelease` tests.
"pandas >=1.5.0",
"pyarrow >=8.0.0",
"pydata-google-auth >=1.8.2",
"requests >=2.27.1",
"scikit-learn >=1.2.2",
"sqlalchemy >=1.4,<3.0dev",
# Keep sqlglot versions in sync with ibis-framework. This avoids problems
# where the incorrect version of sqlglot is installed, such as
# https://github.com/googleapis/python-bigquery-dataframes/issues/315
"sqlglot >=20.8.0,<=20.11",
"tabulate >= 0.9",
"ipywidgets >=7.7.1",
"humanize >= 4.6.0",
"matplotlib >= 3.7.1",
]
extras = {
# Optional test dependencies packages. If they're missed, may skip some tests.
"tests": [
"pandas-gbq >=0.19.0",
],
# Packages required for basic development flow.
"dev": ["pytest", "pytest-mock", "pre-commit", "nox", "google-cloud-testutils"],
}
extras["all"] = list(sorted(frozenset(itertools.chain.from_iterable(extras.values()))))
# Setup boilerplate below this line.
package_root = os.path.abspath(os.path.dirname(__file__))
readme_filename = os.path.join(package_root, "README.rst")
with io.open(readme_filename, encoding="utf-8") as readme_file:
readme = readme_file.read()
version: Dict[str, str] = {}
with open(os.path.join(package_root, "bigframes/version.py")) as fp:
exec(fp.read(), version)
version_id = version["__version__"]
# Only include packages under the 'bigframes' namespace. Do not include tests,
# benchmarks, etc.
packages = [
package
for package in setuptools.find_namespace_packages()
if package.startswith("bigframes")
] + [
package
for package in setuptools.find_namespace_packages("third_party")
if package.startswith("bigframes_vendored")
]
setuptools.setup(
name=name,
version=version_id,
description=description,
long_description=readme,
author="Google LLC",
author_email="[email protected]",
license="Apache 2.0",
url="https://github.com/googleapis/python-bigquery-dataframes",
classifiers=[
release_status,
"Intended Audience :: Developers",
"License :: OSI Approved :: Apache Software License",
"Programming Language :: Python",
"Programming Language :: Python :: 3",
"Programming Language :: Python :: 3.9",
"Programming Language :: Python :: 3.10",
"Programming Language :: Python :: 3.11",
"Programming Language :: Python :: 3.12",
"Operating System :: OS Independent",
"Topic :: Internet",
],
install_requires=dependencies,
extras_require=extras,
platforms="Posix; MacOS X; Windows",
package_dir={
"bigframes": "bigframes",
"bigframes_vendored": "third_party/bigframes_vendored",
},
packages=packages,
python_requires=">=3.9",
include_package_data=True,
zip_safe=False,
)