{
    "info": {
        "author": "Mosky",
        "author_email": "mosky.tw@gmail.com",
        "bugtrack_url": null,
        "classifiers": [
            "Development Status :: 5 - Production/Stable",
            "Environment :: Console",
            "Intended Audience :: Developers",
            "License :: OSI Approved :: MIT License",
            "Operating System :: OS Independent",
            "Programming Language :: Python",
            "Topic :: Software Development :: Libraries :: Python Modules",
            "Topic :: Utilities"
        ],
        "description": "Enhanced PyYAML\n===============\n\nIt makes PyYAML more convenient and avoids duplicate YAML data.\n\nHere is the features:\n\n- by deafult, use name of class as the `yaml_tag` of YAMLObject\n- load anchor `&` as an attribute `anchor` of YAMLObject instance\n- dump the attribute `anchor` of YAMLObject instance as the anchor `&` name\n\nInstallation\n------------\n\nYou can install it via PyPI,\n\n::\n\n    sudo pip install enhancedyaml\n\nor download it manually.\n\nExamples\n--------\n\nHere is the yaml file:\n\n::\n\n    # examples/enhanced_data.yaml\n\n    %YAML 1.1\n    ---\n    examples:\n        - !Example &first\n            data: I am the first one.\n        - !Example &second\n            data: I am the second one.\n    order:\n        - \\*first\n        - \\*second\n\nCreate an YAMLObject without specifiying `yaml_tag`\n===================================================\n\n::\n\n    import enhancedyaml\n\n    class Example(enhancedyaml.YAMLObject): pass\n\nLoaded YAML\n===========\n\nCode:\n\n::\n\n    from pprint import pprint\n\n    data = enhancedyaml.load(open('data/enhanced_data.yaml'))\n    pprint(data)\n\nOutput:\n\n::\n\n    {'examples': [<__main__.Example object at 0x7fa825fb4fd0>,\n\n                  <__main__.Example object at 0x7fa825fb4cd0>],\n     'order': [<__main__.Example object at 0x7fa825fb4fd0>,\n               <__main__.Example object at 0x7fa825fb4cd0>]}\n\nContent of `data['order']`\n==========================\n\nCode:\n\n::\n\n    pprint(list(example.__dict__ for example in data['order']))\n\nOutput:\n\n::\n\n    [{'anchor': u'first', 'data': 'I am the first one.'},\n     {'anchor': u'second', 'data': 'I am the second one.'}]\n\n`Example` has addational attribute `anchor`.\n\nDump Data Again\n===============\n\nCode:\n\n::\n\n    print enhancedyaml.dump(data, default_flow_style=False)\n\nOutput:\n\n::\n\n    examples:\n    - &first !Example\n      data: I am the first one.\n    - &second !Example\n      data: I am the second one.\n    order:\n    - \\*first\n    - \\*second\n\nIt is almost same as the original YAML.\n\nDump Objects Which are Generated in Runtime\n===========================================\n\nCode:\n\n::\n\n    e1 = Example()\n    e2 = Example()\n    e1.data = \"I don't have `anchor`.\"\n    e2.data = \"I don't have `anchor`, too.\"\n    es = [e1, e2, e2, e1]\n    print enhancedyaml.dump(es, default_flow_style=False)\n\nOutput:\n\n::\n\n    - &example002 !Example\n      data: I don't have `anchor`.\n    - &example001 !Example\n      data: I don't have `anchor`, too.\n    - \\*example001\n    - \\*example002\n\nYou can find more examples in `enhancedyaml/examples` directory.\n\nHave fun!",
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        "license": "MIT",
        "maintainer": null,
        "maintainer_email": null,
        "name": "enhancedyaml",
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        "summary": "It makes it more convenient to use PyYAML.",
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