mirror of
https://github.com/elastic/eland.git
synced 2025-07-11 00:02:14 +08:00
0eb36faa5b
Elasticsearch uses v1.11 of PyTorch. Models created with the latest PyTorch release (v1.12) are not compatible with v1.11. This pins the PyTorch version to 1.11 to prevent the incompatibility. The version of the Elasticsearch Python client is now required to be >= Eland. All users of Eland for importing NLP models should upgrade.
97 lines
3.2 KiB
Python
97 lines
3.2 KiB
Python
# Licensed to Elasticsearch B.V. under one or more contributor
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# license agreements. See the NOTICE file distributed with
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# this work for additional information regarding copyright
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# ownership. Elasticsearch B.V. licenses this file to you under
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# the Apache License, Version 2.0 (the "License"); you may
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# not use this file except in compliance with the License.
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# You may obtain a copy of the License at
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#
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# http://www.apache.org/licenses/LICENSE-2.0
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#
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# Unless required by applicable law or agreed to in writing,
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# software distributed under the License is distributed on an
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# "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
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# KIND, either express or implied. See the License for the
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# specific language governing permissions and limitations
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# under the License.
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# flake8: noqa
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from codecs import open
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from os import path
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from setuptools import find_packages, setup
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here = path.abspath(path.dirname(__file__))
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about = {}
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with open(path.join(here, "eland", "_version.py"), "r", "utf-8") as f:
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exec(f.read(), about)
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CLASSIFIERS = [
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"Development Status :: 5 - Production/Stable",
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"License :: OSI Approved :: Apache Software License",
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"Environment :: Console",
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"Operating System :: OS Independent",
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"Intended Audience :: Developers",
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"Intended Audience :: Science/Research",
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"Operating System :: OS Independent",
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"Programming Language :: Python",
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"Programming Language :: Python :: 3",
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"Programming Language :: Python :: 3 :: Only",
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"Programming Language :: Python :: 3.7",
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"Programming Language :: Python :: 3.8",
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"Programming Language :: Python :: 3.9",
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"Programming Language :: Python :: 3.10",
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"Topic :: Scientific/Engineering",
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]
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# Remove all raw HTML from README for long description
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with open(path.join(here, "README.md"), "r", "utf-8") as f:
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lines = f.read().split("\n")
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last_html_index = 0
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for i, line in enumerate(lines):
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if line == "</p>":
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last_html_index = i + 1
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long_description = "\n".join(lines[last_html_index:])
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extras = {
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"xgboost": ["xgboost>=0.90,<2"],
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"scikit-learn": ["scikit-learn>=0.22.1,<2"],
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"lightgbm": ["lightgbm>=2,<4"],
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"pytorch": [
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"torch>=1.11.0,<1.12.0",
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"sentence-transformers>=2.1.0,<=2.2.2",
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"transformers[torch]>=4.12.0,<=4.20.1",
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],
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}
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extras["all"] = list({dep for deps in extras.values() for dep in deps})
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setup(
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name=about["__title__"],
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version=about["__version__"],
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description=about["__description__"],
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long_description=long_description,
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long_description_content_type="text/markdown",
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url=about["__url__"],
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author=about["__author__"],
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author_email=about["__author_email__"],
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maintainer=about["__maintainer__"],
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maintainer_email=about["__maintainer_email__"],
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license="Apache-2.0",
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classifiers=CLASSIFIERS,
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keywords="elastic eland pandas python",
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packages=find_packages(include=["eland", "eland.*"]),
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install_requires=[
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"elasticsearch>=8.3,<9",
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"pandas>=1.2,<2",
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"matplotlib<4",
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"numpy<2",
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],
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scripts=["bin/eland_import_hub_model"],
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python_requires=">=3.7",
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package_data={"eland": ["py.typed"]},
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include_package_data=True,
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zip_safe=False,
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extras_require=extras,
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)
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