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        "author": "Rainy Chan",
        "author_email": "rainydew@qq.com",
        "bugtrack_url": null,
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        "description": "Json_Compare\r\n============\r\n\r\nA library to compare any json string/json-like objects. Version 1.14 is\r\na quickfix version that fixes the bug of losing ignore_path parameter\r\nwhen handling json-strings.\r\n\r\nFeatures\r\n--------\r\n\r\n-  Compare jsons and print the differences (what and where they are,\r\n   recursion supported). Useful for interface testing.\r\n-  Config whether it will ignore the order of items in a list or not,\r\n   recursively.\r\n-  Both python 26+ and 35+ supported.\r\n-  Regular expressions supported for string to skip unconcerned keys or\r\n   just to assert the format.\r\n-  Compact **str** and **unicode** (or **bytes** and **str** in\r\n   python3), they are considered equal. Good for non ascii coding\r\n   languages.\r\n-  Both **json string** (**unicode** or **binary** str) and **json\r\n   object** (**dict**, **list** or **tuple**) are supported.\r\n-  Support tuples, so results from pymysql.cursors.DictCursor can\r\n   compare with interface response directly.\r\n-  Json type legal check.\r\n-  Support skipping anywhere using argument like *ignore_path=[\u201c/a/1/k\u201d,\r\n   \u201c/a/1/l\u201d]*, dict keys or list indexes. Skipped fields are regarded as\r\n   match.\r\n-  The ignore_path list now support regular expressions too. You can use\r\n   *[r\u201c^(/:raw-latex:`\\d+`/a)\u201d]* as ignore_path to skip all keys named\r\n   \u201ca\u201d in *[{\u201ca\u201d: 1, \u201cb\u201d: 2}, {\u201ca\u201d: 1, \u201cb\u201d: 4}]* but still compare the\r\n   value of \u201cb\u201d. (New)\r\n\r\n   -  Useful when compare multi records in database query result\r\n      (dictionary cursor) with some fields unconcerned.\r\n\r\n-  Fuzzy equal when handling floats. (New)\r\n\r\nQuickStart\r\n----------\r\n\r\ninstall\r\n\r\n.. code:: shell\r\n\r\n   pip install jsoncomparedeep\r\n\r\nor update\r\n\r\n.. code:: shell\r\n\r\n   pip install -U jsoncomparedeep\r\n\r\na simple example\r\n\r\n.. code:: python\r\n\r\n   from json_compare import Jcompare\r\n   cp=Jcompare()\r\n   print(cp.compare({\"key1\":[\"v1\",\"v2\"],\"key2\":{\"key3\":1}},{\"key1\":[\"v2\",\"v1\"],\"key2\":{\"key3\":2}}))\r\n\r\nto see\r\n\r\n::\r\n\r\n   a is {'key2': {'key3': 1}, 'key1': ['v1', 'v2']}\r\n   b is {'key2': {'key3': 2}, 'key1': ['v2', 'v1']}\r\n   ignore_list_seq = True, re_compare = True\r\n   different value at /key2/key3\r\n   a: 1\r\n   b: 2\r\n   False\r\n\r\nFor more demos and information, just install it and visit the test file\r\n**test_json_compare.py** in\r\n**Your_Python_Path/Lib/site-packages/json_compare/**\r\n\r\nSmall Hints\r\n-----------\r\n\r\n-  Datetime in SQL result is not JSON serializable type, use something\r\n   like **CAST(create_time as CHAR) \u2018create_time\u2019** in SQL statement to\r\n   solve it.\r\n\r\nBug report\r\n----------\r\n\r\n-  Issues and bugs report to rainydew@qq.com.\r\n",
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        "keywords": "json comparison order unicode fuzzy",
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        "name": "jsoncomparedeep",
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