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            "License :: OSI Approved :: MIT License",
            "Programming Language :: Python :: 3",
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        "description": "## matchlib\n\n[![PyPI version](https://badge.fury.io/py/matchlib.svg)](https://badge.fury.io/py/matchlib)\n\nThis package provides a handy way to partially compare python data structures \n(typically nested lists/dictionaries).\n\n### Installation\n```bash\npip install matchlib\n```\n### Usage\n```python\nfrom matchlib import matches\n\nuser = {\n    'id': 42,\n    'name': 'John Doe',\n    'email': 'johndoe@gmail.com',\n    'posts': [\n        {\n            'id': 1,\n            'text': 'some text'\n        },\n        {\n            'id': 2,\n            'text': 'lorem ipsum',\n            'comments': [42, 142, 242]\n        }\n    ]\n}\n\nassert matches(\n    user,\n    {\n        'id': ...,\n        'name': 'John Doe',\n        'email': 'johndoe@gmail.com',\n        ...: ...\n    }\n)\n```\nSame can be achieved using standard `==` operator with `matchlib.Partial` object:\n```python\nfrom matchlib import Partial\n\nassert user == Partial({\n    'id': 42,\n    'email': 'johndoe@gmail.com',\n    ...: ...\n})\n```\nThe `...` \"wildcard\" could be placed at any nested level. \nLet's say we only need to check that comment `142` is present in specific post: \n```python \nassert user == Partial({\n    'posts': [\n        ...,\n        {\n            'id': 2,\n            'comments': [..., 142, ...],\n            ...: ...\n        }\n    ],\n    ...: ...\n})\n``` \nMatching rules are simple:\n - In __lists__ and __tuples__ `...` matches zero or more elements and order is preserved:\n    ```python\n    Partial([1, 2, ...]) == [1, 2, 3, 4]\n    Partial([1, 2, ...]) == [1, 2]\n\n    Partial([1, 2, ...]) != [0, 1, 2]\n    Partial([1, 2, ...]) != [2, 1]\n    ```\n - Same for the __sets__ except they are unordered:\n    ```python\n    Partial({1, 2, ...}) == {1, 2}\n    Partial({1, 2, ...}) == {0, 1, 2, 3}\n\n    Partial({1, 2, ...}) != {0, 1, 3}\n    ```\n - As __dict value__ `...` matches any object:\n    ```python\n    Partial({'a': 1, 'b': ...}) == {'a': 1, 'b': 2}\n    ```\n - As __dict key__ `...` matches any key if assosiated values match:\n    ```python\n    Partial({'a': 1, ...: 2}) == {'a': 2, 'b': 2}\n    ``` \n - When passed as __both key and value__ matches zero or more arbitrary key-value pairs:\n    ```python\n    Partial({'a': 1, ...: ...}) == {'a': 1, 'b': 2, 'c': 3}\n    ```\n\n### Some more hacks\n`mathchlib` provides a `Regex` object that allows to match an arbitrary string element \n(except if it is a dict key) against a regular expression.\nAlso `pytest.approx` is supported for floating-point numbers comparison:\n```python\nfrom pytest import approx\nfrom matchlib import Regex, Partial\n\naccount = {\n    'id': 1,\n    'balance': 1007.62,\n    'owner': {\n        'email': 'user42@domain.com',\n    }\n}\n\nassert account == Partial({\n    'id': ...,\n    'balance': approx(1000, 0.1),\n    'owner': {\n        'email': Regex(r'\\w+@domain\\.com')\n    }\n})\n```\nIf for any reason you dislike Ellipsis literal (`...`) \na `matchlib.Any` object can be used interchangeably.\n\n",
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