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            "License :: OSI Approved :: MIT License",
            "Operating System :: OS Independent",
            "Programming Language :: Python :: 2",
            "Programming Language :: Python :: 2.7",
            "Programming Language :: Python :: 3",
            "Programming Language :: Python :: 3.3",
            "Programming Language :: Python :: 3.4",
            "Programming Language :: Python :: 3.5",
            "Topic :: Software Development :: Libraries :: Python Modules",
            "Topic :: Utilities"
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        "description": "**This project is **DEPRECATED**. You should use\n<https://github.com/datapackages/datapackage-py> instead. This repository is\njust for historical purposes.**\n\ndatapackage-registry-py\n=======================\n\nA Python library for working with a Data Package Registry.\n\nIt comes with a cached version of the registry and schemas from\n<https://github.com/dataprotocols/schemas>.\n\nUsage\n-----\n\n```python\nimport datapackage_registry\n\n# get the default registry objects\nregistry = datapackage_registry.Registry()\n\n# see the available profiles in the registry\nprint(registry.available_profiles)\n# {\n#     'base': {\n#         'id': 'base',\n#         'schema': 'https://rawgit.com/dataprotocols/schemas/master/data-package.json',\n#         'specification': 'http://dataprotocols.org/data-packages',\n#         'title': 'Data Package'\n#     },\n#     'tabular': {\n#         'id': 'tabular',\n#         'schema': 'https://rawgit.com/dataprotocols/schemas/master/tabular-data-package.json',\n#         'specification': 'http://dataprotocols.org/tabular-data-package/',\n#         'title': 'Tabular Data Package'\n#    }\n# }\n\n# get a profile by its id\nbase_profile = registry.get('base')\n```\n\nIf you\u2019d like to use a custom registry, you can pass its URL or local\npath to the `Registry()` constructor, as in:\n\n```python\nimport datapackage_registry\n\nregistry = datapackage_registry.Registry('http://someplace.com/my-registry.csv')\n```\n\nIf you\u2019d like to get a schema that's not in the registry, you can pass its URL\nor local path to `Registry().get_external()` method, as in:\n\n```python\nimport datapackage_registry\nregistry = datapackage_registry.Registry()\n\ntry:\n  schema = registry.get_external('http://someplace.com/schema.json')\nexcept datapackage_registry.exceptions.DataPackageRegistryException:\n  pass  # handle error\n```\n\nDeveloper notes\n---------------\n\nThese notes are intended to help people that want to contribute to this\npackage itself. If you just want to use it, you can safely ignore this.\n\n### Updating the local schemas cache\n\nWe cache the schemas from <https://github.com/dataprotocols/schemas>\nusing git-subtree. To update it, use:\n\n    git subtree pull --prefix datapackage_registry/schemas https://github.com/dataprotocols/schemas.git master --squash",
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