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setup.py
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setup.py
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# Licensed to Elasticsearch B.V. under one or more contributor
# license agreements. See the NOTICE file distributed with
# this work for additional information regarding copyright
# ownership. Elasticsearch B.V. licenses this file to you 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.
# flake8: noqa
from codecs import open
from os import path
from setuptools import find_packages, setup
here = path.abspath(path.dirname(__file__))
about = {}
with open(path.join(here, "eland", "_version.py"), "r", "utf-8") as f:
exec(f.read(), about)
CLASSIFIERS = [
"Development Status :: 5 - Production/Stable",
"License :: OSI Approved :: Apache Software License",
"Environment :: Console",
"Operating System :: OS Independent",
"Intended Audience :: Developers",
"Intended Audience :: Science/Research",
"Operating System :: OS Independent",
"Programming Language :: Python",
"Programming Language :: Python :: 3",
"Programming Language :: Python :: 3 :: Only",
"Programming Language :: Python :: 3.8",
"Programming Language :: Python :: 3.9",
"Programming Language :: Python :: 3.10",
"Programming Language :: Python :: 3.11",
"Topic :: Scientific/Engineering",
]
# Remove all raw HTML from README for long description
with open(path.join(here, "README.md"), "r", "utf-8") as f:
lines = f.read().split("\n")
last_html_index = 0
for i, line in enumerate(lines):
if line == "</p>":
last_html_index = i + 1
long_description = "\n".join(lines[last_html_index:])
extras = {
"xgboost": ["xgboost>=0.90,<2"],
"scikit-learn": ["scikit-learn>=1.3,<1.4"],
"lightgbm": ["lightgbm>=2,<4"],
"pytorch": [
"requests<3",
"torch==2.3.1",
"tqdm",
"sentence-transformers>=2.1.0,<=2.7.0",
# sentencepiece is a required dependency for the slow tokenizers
# https://huggingface.co/transformers/v4.4.2/migration.html#sentencepiece-is-removed-from-the-required-dependencies
"transformers[sentencepiece]>=4.31.0,<4.44.0",
],
}
extras["all"] = list({dep for deps in extras.values() for dep in deps})
setup(
name=about["__title__"],
version=about["__version__"],
description=about["__description__"],
long_description=long_description,
long_description_content_type="text/markdown",
url=about["__url__"],
author=about["__author__"],
author_email=about["__author_email__"],
maintainer=about["__maintainer__"],
maintainer_email=about["__maintainer_email__"],
license="Apache-2.0",
classifiers=CLASSIFIERS,
keywords="elastic eland pandas python",
packages=find_packages(include=["eland", "eland.*"]),
install_requires=[
"elasticsearch>=8.3,<9",
"pandas>=1.5,<2",
"matplotlib>=3.6",
"numpy>=1.2.0,<2",
"packaging",
],
entry_points={
"console_scripts": "eland_import_hub_model=eland.cli.eland_import_hub_model:main"
},
python_requires=">=3.8,<3.12",
package_data={"eland": ["py.typed"]},
include_package_data=True,
zip_safe=False,
extras_require=extras,
)