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        "author": "Daniel Starner",
        "author_email": "starner.daniel5@gmail.com",
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            "License :: OSI Approved :: MIT License",
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        "description": "# PyChecKey\n\nEver have JSON or a large dictionary that you want to validate before you jump deeper into it? PyChecKey allows you to check a dictionary-like object against a defined structure.\n\nThis works with Python 3.5+.\n\n## Components\n\nBelow are the components and common examples of how to use them.\n\n### KeyEnsurer\n\nA `KeyEnsurer` allows checking against a dictionary-like structure. \n\n```python\nfrom pycheckey import KeyEnsurer\n\n\ndata = {\n    \"key1\": 4,\n    \"key2\": {\n        \"innerKey\": \"hi\"\n    }\n}\n\nensurer = KeyEnsurer(data=data, required_keys=['key1', 'key2.innerKey', 'key3'])\n\nensurer.validate()  # Will return false because key3 does not exist!\nprint(ensurer.missing)  # ['key3']\n\nensurer.key_exists(data, 'key2.inner')  # Returns true because data[key2][inner] exists\n\n```\n\n## Local Development\n\nTo work on this repository, you need `virtualenv`. Clone it first, then run the following two commands.\n\n```bash\n$ virtualenv -p python3 venv\n$ source venv/bin/activate\n```\n\n### Running Tests\n\nRun `pytest` from the root directory to run all tests.\n\n### Linting\n\nRun `pylint` from the root directory to lint the code files.\n\n",
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