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        "author": "Stephan Zednik",
        "author_email": "zednis2@rpi.edu",
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            "License :: OSI Approved :: MIT License",
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        "description": "Kleio\n=====\n\n`|Build Status| <https://travis-ci.org/tetherless-world/kleio>`_\n`|License| <https://github.com/tetherless-world/kleio/blob/master/LICENSE>`_\n`|Latest Release| <http://badge.fury.io/py/kleio>`_\n`|Downloads| <https://pypi.python.org/pypi/kleio/>`_\n\nA python library for W3C Provenance Data Model supporting PROV-O.\n\nKleio is free software released under the MIT license.\n\nFeatures\n--------\n\n-  An implementation of the W3C PROV Data Model in Python\n-  Supports serialization and deserialization as PROV-O in RDF/XML,\n   Turtle, TriG, N3, NTriples, and JSON-LD formats\n-  Supports provenance-of-provenance (PROV bundles) via named graphs\n-  Built using `RDFlib <https://github.com/RDFLib/rdflib>`_\n\nGetting Started\n---------------\n\nKleio can be installed from PyPI using the pip installer:\n\n::\n\n    $ pip install kleio\n\nFrom kleio use the prov module to generate PROV records and output\nPROV-O.\n\n\\`\\`\\`python from kleio import prov\n\nprov.ns(\"test\", \"http://tw.rpi.edu/ns/test#\")\n\nentity = prov.Entity(\"test:entity\") entity.set\\_label(\"example entity\")\n\nactivity = prov.Activity(\"test:activity\") activity.set\\_label(\"example\nactivity\")\n\nentity.set\\_was\\_generated\\_by(activity)\nprint(prov.serialize(format=\"turtle\")) \\`\\`\\` output:\n\n::\n\n    @prefix prov: <http://www.w3.org/ns/prov#> .\n    @prefix rdf: <http://www.w3.org/1999/02/22-rdf-syntax-ns#> .\n    @prefix rdfs: <http://www.w3.org/2000/01/rdf-schema#> .\n    @prefix test: <http://tw.rpi.edu/ns/test#> .\n    @prefix xml: <http://www.w3.org/XML/1998/namespace> .\n    @prefix xsd: <http://www.w3.org/2001/XMLSchema#> .\n\n    <test:activity> a prov:Activity ;\n        rdfs:label \"example activity\" ;\n        prov:generated <test:entity> ;\n        prov:influenced <test:entity> .\n\n    <test:entity> a prov:Entity ;\n        rdfs:label \"example entity\" ;\n        prov:wasGeneratedBy <test:activity> ;\n        prov:wasInfluencedBy <test:activity> .\n\nKleio can also be used to load and update existing PROV-O records.\n\n::\n\n\n    from kleio import prov\n\n    # load the existing PROV-O graph\n    prov.graph.load(\"load-example.ttl\", format=\"turtle\")\n\n    # get a reference to the existing entity with id=\"test:entity\"\n    entity = prov.Entity(\"test:entity\")\n\n    # ... update entity ...\n\nSupport\n-------\n\nMore information is available on the project webpage:\n\nhttps://github.com/tetherless-world/kleio\n\nContinuous integration status details available from Travis CI:\n\nhttps://travis-ci.org/tetherless-world/kleio\n\nThe documentation can be built by doing:\n\n::\n\n    $ python setup.py build_sphinx\n\nAnd is also available from ReadTheDocs:\n\nhttp://kleio.readthedocs.org/en/latest\n\n.. |Build\nStatus| image:: https://travis-ci.org/tetherless-world/kleio.svg?branch=master\n.. |License| image:: http://img.shields.io/badge/license-MIT-brightgreen.svg\n.. |Latest Release| image:: https://badge.fury.io/py/kleio.svg\n.. |Downloads| image:: https://pypip.in/download/kleio/badge.svg",
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