mirror of
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09a0958f90
Testing instructions on Apple silicon ``` make docker-build docker run -it unstructured:dev bash python3 ``` Then run the test in this PR https://unstructured-ai.atlassian.net/browse/CORE-1269 You should get output like shown in ticket Run the same process on your local machine (not inside docker) with same test to verify the non aarch64 paddlepaddle got installed correctly --------- Co-authored-by: Yuming Long <63475068+yuming-long@users.noreply.github.com>
161 lines
6.3 KiB
Python
161 lines
6.3 KiB
Python
"""
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setup.py
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unstructured - pre-processing tools for unstructured data
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Copyright 2022 Unstructured Technologies, Inc.
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Licensed under the Apache License, Version 2.0 (the "License");
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you may 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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http://www.apache.org/licenses/LICENSE-2.0
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Unless required by applicable law or agreed to in writing, software
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distributed under the License is distributed on an "AS IS" BASIS,
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WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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See the License for the specific language governing permissions and
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limitations under the License.
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"""
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from typing import List, Optional, Union
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from setuptools import find_packages, setup
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from unstructured.__version__ import __version__
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def load_requirements(file_list: Optional[Union[str, List[str]]] = None) -> List[str]:
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if file_list is None:
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file_list = ["requirements/base.in"]
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if isinstance(file_list, str):
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file_list = [file_list]
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requirements: List[str] = []
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for file in file_list:
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with open(file, encoding="utf-8") as f:
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requirements.extend(f.readlines())
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requirements = [
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req for req in requirements if not req.startswith("#") and not req.startswith("-")
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]
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return requirements
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csv_reqs = load_requirements("requirements/extra-csv.in")
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doc_reqs = load_requirements("requirements/extra-docx.in")
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docx_reqs = load_requirements("requirements/extra-docx.in")
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epub_reqs = load_requirements("requirements/extra-epub.in")
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image_reqs = load_requirements("requirements/extra-pdf-image.in")
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markdown_reqs = load_requirements("requirements/extra-markdown.in")
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msg_reqs = load_requirements("requirements/extra-msg.in")
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odt_reqs = load_requirements("requirements/extra-odt.in")
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org_reqs = load_requirements("requirements/extra-pandoc.in")
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pdf_reqs = load_requirements("requirements/extra-pdf-image.in")
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ppt_reqs = load_requirements("requirements/extra-pptx.in")
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pptx_reqs = load_requirements("requirements/extra-pptx.in")
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rtf_reqs = load_requirements("requirements/extra-pandoc.in")
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rst_reqs = load_requirements("requirements/extra-pandoc.in")
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tsv_reqs = load_requirements("requirements/extra-csv.in")
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xlsx_reqs = load_requirements("requirements/extra-xlsx.in")
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all_doc_reqs = list(
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set(
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csv_reqs
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+ docx_reqs
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+ epub_reqs
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+ image_reqs
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+ markdown_reqs
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+ msg_reqs
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+ odt_reqs
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+ org_reqs
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+ pdf_reqs
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+ pptx_reqs
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+ rtf_reqs
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+ rst_reqs
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+ tsv_reqs
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+ xlsx_reqs,
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),
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)
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setup(
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name="unstructured",
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description="A library that prepares raw documents for downstream ML tasks.",
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long_description=open("README.md", encoding="utf-8").read(), # noqa: SIM115
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long_description_content_type="text/markdown",
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keywords="NLP PDF HTML CV XML parsing preprocessing",
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url="https://github.com/Unstructured-IO/unstructured",
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python_requires=">=3.7.0",
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classifiers=[
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"Development Status :: 4 - Beta",
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"Intended Audience :: Developers",
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"Intended Audience :: Education",
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"Intended Audience :: Science/Research",
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"License :: OSI Approved :: Apache Software License",
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"Operating System :: OS Independent",
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"Programming Language :: Python :: 3",
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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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"Programming Language :: Python :: 3.11",
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"Topic :: Scientific/Engineering :: Artificial Intelligence",
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],
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author="Unstructured Technologies",
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author_email="devops@unstructuredai.io",
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license="Apache-2.0",
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packages=find_packages(),
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version=__version__,
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entry_points={
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"console_scripts": ["unstructured-ingest=unstructured.ingest.main:main"],
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},
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install_requires=load_requirements(),
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extras_require={
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# Document specific extra requirements
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"all-docs": all_doc_reqs,
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"csv": csv_reqs,
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"doc": doc_reqs,
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"docx": docx_reqs,
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"epub": epub_reqs,
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"image": image_reqs,
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"md": markdown_reqs,
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"msg": msg_reqs,
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"odt": odt_reqs,
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"org": org_reqs,
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"pdf": pdf_reqs,
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"ppt": ppt_reqs,
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"pptx": pptx_reqs,
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"rtf": rtf_reqs,
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"rst": rst_reqs,
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"tsv": tsv_reqs,
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"xlsx": xlsx_reqs,
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# Extra requirements for data connectors
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"s3": load_requirements("requirements/ingest-s3.in"),
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"azure": load_requirements("requirements/ingest-azure.in"),
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"biomed": load_requirements("requirements/ingest-biomed.in"),
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"discord": load_requirements("requirements/ingest-discord.in"),
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"github": load_requirements("requirements/ingest-github.in"),
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"gitlab": load_requirements("requirements/ingest-gitlab.in"),
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"reddit": load_requirements("requirements/ingest-reddit.in"),
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"notion": load_requirements("requirements/ingest-notion.in"),
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"slack": load_requirements("requirements/ingest-slack.in"),
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"wikipedia": load_requirements("requirements/ingest-wikipedia.in"),
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"google-drive": load_requirements("requirements/ingest-google-drive.in"),
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"gcs": load_requirements("requirements/ingest-gcs.in"),
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"elasticsearch": load_requirements("requirements/ingest-elasticsearch.in"),
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"dropbox": load_requirements("requirements/ingest-dropbox.in"),
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"box": load_requirements("requirements/ingest-box.in"),
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"onedrive": load_requirements("requirements/ingest-onedrive.in"),
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"outlook": load_requirements("requirements/ingest-outlook.in"),
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"confluence": load_requirements("requirements/ingest-confluence.in"),
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"airtable": load_requirements("requirements/ingest-airtable.in"),
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"sharepoint": load_requirements("requirements/ingest-sharepoint.in"),
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"delta-table": load_requirements("requirements/ingest-delta-table.in"),
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"salesforce": load_requirements("requirements/ingest-salesforce.in"),
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"jira": load_requirements("requirements/ingest-jira.in"),
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# Legacy extra requirements
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"huggingface": load_requirements("requirements/huggingface.in"),
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"local-inference": all_doc_reqs,
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"paddleocr": load_requirements("requirements/extra-paddleocr.in"),
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},
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package_dir={"unstructured": "unstructured"},
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package_data={"unstructured": ["nlp/*.txt"]},
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)
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