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        "author": "Matt Elwell",
        "author_email": "mjelwell89@gmail.com",
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        "classifiers": [
            "License :: OSI Approved :: MIT License",
            "Programming Language :: Python :: 2",
            "Programming Language :: Python :: 2.6",
            "Programming Language :: Python :: 2.7",
            "Programming Language :: Python :: 3",
            "Programming Language :: Python :: 3.0",
            "Programming Language :: Python :: 3.1",
            "Programming Language :: Python :: 3.2",
            "Programming Language :: Python :: 3.3",
            "Programming Language :: Python :: 3.4",
            "Programming Language :: Python :: 3.5",
            "Programming Language :: Python :: 3.6",
            "Programming Language :: Python :: 3.7"
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        "description": "# Map Dictionary Keys\n\n## Installation\n\n```pip install map-dictionary-keys```\n\n## Usage \n\n```python\nfrom map_dictionary_keys import map_dictionary_keys\n\nd = {\n    'some_key_to_map': 'value'\n}\n\n\ndef some_mapping_function(key_name):\n    return key_name.upper()\n\nmapped_dictionary = map_dictionary_keys(d, some_mapping_function)\n```\n\nIn the above example, `mapped_dictionary` will be mapped according to the function `some_mapping_function` as follows:\n\n```python\nmapped_dictionary = {\n    'SOME_KEY_TO_MAP': 'value'\n}\n``` \n\n\nThis function _will_ work for all levels of nested dictionaries. In the following example, both `'sub_dictionary'` and `'key_name'` will be converted as per the mapping function passed to `map_dictionary_keys`. \n\n```python\ndictionary = {\n    'sub_dictionary': {\n        'key_name': 'value'\n    }\n}\n```\n\nIt _will_ also work for nested lists of dictionaries. For example, in the following example, `'key_name'` will be mapped according to the mapping function provided to `map_dictionary_keys`.  \n\n```python\ndictionary = {\n    'list_of_dictionaries': [\n        {\n            'key_name': 'value'\n        }\n    ]\n}\n```\n\nThis function does not currently work for lists nested beyond the first level. For example, in the following example, `'key_name'` will _not_ be mapped according to the mapping function provided to `map_dictionary_keys`. \n\n```python\ndictionary = {\n    'my_list': [\n        [\n            {\n                'key_name': 'value'\n            }\n        ]\n    ]\n}\n```\n\n",
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        "summary": "A function to map the keys in a dictionary",
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