{
    "info": {
        "author": "Leo Goodstadt",
        "author_email": "nested_dict@llew.org.uk",
        "bugtrack_url": null,
        "classifiers": [
            "Development Status :: 5 - Production/Stable",
            "Intended Audience :: Developers",
            "Intended Audience :: End Users/Desktop",
            "Intended Audience :: Financial and Insurance Industry",
            "Intended Audience :: Information Technology",
            "Intended Audience :: Science/Research",
            "License :: OSI Approved :: MIT License",
            "Programming Language :: Python",
            "Programming Language :: Python :: 2",
            "Programming Language :: Python :: 2.7",
            "Programming Language :: Python :: 3",
            "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 :: Implementation :: PyPy",
            "Topic :: Scientific/Engineering",
            "Topic :: Software Development",
            "Topic :: Software Development :: Libraries",
            "Topic :: Utilities"
        ],
        "description": ".. note ::\n\n    * Source code at https://github.com/bunbun/nested-dict\n    * Documentation at http://nested-dict.readthedocs.org\n\n##############################################################################\n``nested_dict``\n##############################################################################\n``nested_dict`` extends ``defaultdict`` to support python ``dict`` with multiple levels of nested-ness:\n\n*****************************************************************\nDrop in replacement for ``dict``\n*****************************************************************\n\n\n  .. <<Python\n\n  .. code-block:: Pycon\n\n    >>> from nested_dict import nested_dict\n    >>> nd= nested_dict()\n    >>> nd[\"one\"] = \"1\"\n    >>> nd[1][\"two\"] = \"1 / 2\"\n    >>> nd[\"uno\"][2][\"three\"] = \"1 / 2 / 3\"\n    >>>\n    ... for keys_as_tuple, value in nd.items_flat():\n    ...    print (\"%-20s == %r\" % (keys_as_tuple, value))\n    ...\n    ('one',)             == '1'\n    (1, 'two')           == '1 / 2'\n    ('uno', 2, 'three')  == '1 / 2 / 3'\n\n  ..\n      Python\n\n    Each nested level is created magically when accessed, a process known as \"auto-vivification\" in perl.\n\n\n******************************************************************************\nSpecifying the contained type\n******************************************************************************\n\n    If you want the nested dictionary to hold\n        * a collection (like the `set  <https://docs.python.org/2/library/sets.html>`__ in the first example) or\n        * a scalar with useful default values such as ``int`` or ``str``.\n\n==============================\n*dict* of ``list``\\ s\n==============================\n    .. <<Python\n\n    .. code-block:: Python\n\n            #   nested dict of lists\n            nd = nested_dict(2, list)\n            nd[\"mouse\"][\"2\"].append(12)\n            nd[\"human\"][\"1\"].append(12)\n\n\n    ..\n        Python\n\n==============================\n*dict* of ``set``\\ s\n==============================\n    .. <<Python\n\n    .. code-block:: Python\n\n            #   nested dict of sets\n            nd = nested_dict(2, set)\n            nd[\"mouse\"][\"2\"].add(\"a\")\n            nd[\"human\"][\"1\"].add(\"b\")\n\n\n    ..\n        Python\n\n==============================\n*dict* of ``int``\\ s\n==============================\n\n    .. <<Python\n\n    .. code-block:: Python\n\n            #   nested dict of ints\n            nd = nested_dict(2, int)\n            nd[\"mouse\"][\"2\"] += 4\n            nd[\"human\"][\"1\"] += 5\n            nd[\"human\"][\"1\"] += 6\n\n            nd.to_dict()\n            #{'human': {'1': 11}, 'mouse': {'2': 4}}\n\n\n    ..\n        Python\n\n==============================\n*dict* of ``str``\\ s\n==============================\n\n    .. <<Python\n\n    .. code-block:: Python\n\n            #   nested dict of strings\n            nd = nested_dict(2, str)\n            nd[\"mouse\"][\"2\"] += \"a\" * 4\n            nd[\"human\"][\"1\"] += \"b\" * 5\n            nd[\"human\"][\"1\"] += \"c\" * 6\n\n            nd.to_dict()\n            #{'human': {'1': 'bbbbbcccccc'}, 'mouse': {'2': 'aaaa'}}\n\n    ..\n        Python\n\n##############################################################################\nIterating through ``nested_dict``\n##############################################################################\n\nIterating through deep or unevenly nested dictionaries is a bit of a pain without recursion.\n``nested dict`` allows you to **flatten** the nested levels into `tuple  <https://docs.python.org/2/library/functions.html#tuple>`__\\ s before iteration.\n\nYou do not need to know beforehand how many levels of nesting you have:\n\n    .. <<Python\n\n    .. code-block:: Python\n\n        from nested_dict import nested_dict\n        nd= nested_dict()\n        nd[\"one\"] = \"1\"\n        nd[1][\"two\"] = \"1 / 2\"\n        nd[\"uno\"][2][\"three\"] = \"1 / 2 / 3\"\n\n        for keys_as_tuple, value in nd.items_flat():\n            print (\"%-20s == %r\" % (keys_as_tuple, value))\n\n        #   (1, 'two')           == '1 / 2'\n        #   ('one',)             == '1'\n        #   ('uno', 2, 'three')  == '1 / 2 / 3'\n\n    ..\n        Python\n\n\n\nnested_dict provides\n    * ``items_flat()``\n    * ``keys_flat()``\n    * ``values_flat()``\n\n(``iteritems_flat()``, ``iterkeys_flat()``, and ``itervalues_flat()`` are python 2.7-style synonyms. )\n\n##############################################################################\nConverting to / from dictionaries\n##############################################################################\n\nThe magic of  ``nested_dict`` sometimes gets in the way (of `pickle  <https://docs.python.org/2/library/pickle.html>`__\\ ing for example).\n\nWe can convert to and from a vanilla python ``dict`` using\n    * ``nested_dict.to_dict()``\n    * ``nested_dict constructor``\n\n    .. <<Python\n\n    .. code-block:: Pycon\n\n        >>> from nested_dict import nested_dict\n        >>> nd= nested_dict()\n        >>> nd[\"one\"] = 1\n        >>> nd[1][\"two\"] = \"1 / 2\"\n\n        #\n        #   convert nested_dict -> dict and pickle\n        #\n        >>> nd.to_dict()\n        {1: {'two': '1 / 2'}, 'one': 1}\n        >>> import pickle\n        >>> binary_representation = pickle.dumps(nd.to_dict())\n\n        #\n        #   convert dict -> nested_dict\n        #\n        >>> normal_dict = pickle.loads(binary_representation)\n        >>> new_nd = nested_dict(normal_dict)\n        >>> nd == new_nd\n        True\n\n    ..\n        Python\n\n\n##############################################################################\n``defaultdict``\n##############################################################################\n``nested_dict`` extends `collections.defaultdict  <https://docs.python.org/2/library/collections.html#collections.defaultdict>`__\n\nYou can get arbitrarily-nested \"auto-vivifying\" dictionaries using `defaultdict  <https://docs.python.org/2/library/collections.html#collections.defaultdict>`__.\n\n    .. <<Python\n\n    .. code-block:: Python\n\n        from collections import defaultdict\n        nested_dict = lambda: defaultdict(nested_dict)\n        nd = nested_dict()\n        nd[1][2][\"three\"][4] = 5\n        nd[\"one\"][\"two\"][\"three\"][4] = 5\n\n    ..\n        Python\n\nHowever, only ``nested_dict`` supports a ``dict`` of ``dict`` of ``sets`` etc.",
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