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        "author": "Aaron Halfaker",
        "author_email": "ahalfaker@wikimedia.org",
        "bugtrack_url": null,
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            "Development Status :: 3 - Alpha",
            "Environment :: Other Environment",
            "Intended Audience :: Developers",
            "License :: OSI Approved :: MIT License",
            "Operating System :: OS Independent",
            "Programming Language :: Python",
            "Programming Language :: Python :: 3"
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        "description": "# ORES API\n\nThis repo contains a python package called \"oresapi\".  This package makes it\nstraightforward to query the ORES API in a performant way.  \n\n# Example\n\n```\n>>> from oresapi import Session\n>>>\n>>> my_session = Session(\n...     \"https://ores.wikimedia.org\",\n...     user_agent=\"Demonstrating how to use Session - my_address@email.com\")\n>>>\n>>> rev_ids = [12345, 678910]\n>>> results = my_session.score(\"enwiki\", [\"damaging\", \"goodfaith\"], rev_ids)\n>>>\n>>> for rev_id, result in zip(rev_ids, results):\n...     print(rev_id, result)\n...\n12345 {'goodfaith': {'score': {'prediction': True, 'probability': {'true': 0.9454305247958957, 'false': 0.05456947520410427}}}, 'damaging': {'score': {'prediction': False, 'probability': {'true': 0.1774477630070302, 'false': 0.8225522369929699}}}}\n678910 {'goodfaith': {'score': {'prediction': True, 'probability': {'true': 0.9971569940025945, 'false': 0.002843005997405501}}}, 'damaging': {'score': {'prediction': False, 'probability': {'true': 0.008388045944843079, 'false': 0.9916119540551569}}}}\n```\n\n# Author\n* Aaron Halfaker - https://github.com/halfak\n\n\n",
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        "license": "MIT",
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        "summary": "A set of utilities for efficiently querying the ORES api.",
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