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        "description": "Changeless is a set of functions and objects to help convert your data\ninto a set stateless or immutable data objects.\n\nTypes\n-----\n\n::\n\n    from changeless.types import FancyHash, FancyModel, ImmutableHash, ImmutableModel\n\nFancy Types take a dict object and replaces the dereferencing operator\n([]) with the dot operator. So the object\n\n::\n\n     an_obj= FancyHash({\"name\":\"me\"}) \n\nwill allow us to retrieve the attribute 'name' with\n\n::\n\n    print \"the object's name: \" + an_obj.name\n    >the object's name: matt\n\nModel Types take a Django ORM QueueSet and converts it to a comparable\napi. This uses the Fancy type as a base after converting the QuerySet to\na dict. Foreign keys and many to many relationships are converted to\nnested dicts and lists of dicts(respectively) to aid in the objects\nbehaving as similarly as possible.\n\nNote that Model Types retrieve all of data at once which includes by\ndefault relationships directly adjacent. This might incur more queries\nthan expected. Choose your data carefully and scale back when necessary.\n\n-  FancyHash(a\\_dictonary)\n-  FancyModel(a\\_model, depth=1)\n-  ImmutableHash(a\\_dictonary)\n-  ImmutableModel(a\\_model, depth=1)\n\nJust pass the correct object into the type constructor to convert your\ndata.\n\nDecorators\n----------\n\n::\n\n    from changeless.decorators import fancy_list\n\n    @fancy_list\n    def get_books():\n        return Book.objects.all()\n\nPlace the following decorators before functions that return a Django ORM\nQueueSet to convert it to the correct changeless object. Decorators are\nthe preferred way to use the changeless library. Using the decorators\npromote readability by keeping the conversion away from the ORM call, as\nwell as providing an easy to way to turn the changeless conversion on\nand off. Notice that the \\_gen decorators will return a generator that\nwill lazily convert each object in the list. Generators may be more\nefficient for long lists.\n\n| The following generators are available.\n| \\* fancy\\_list \\* fancy\\_gen \\* immutable\\_list \\* immutable\\_gen\n\nFunctions\n---------\n\nI've found the following functions useful. ###fuzzyEquals### from\nchangeless.compare import fuzzyEquals\n\n::\n\n    i_obj = FancyHash({\"name\":'test name', \n                       'sub_dict':{'name':'sub name', 'attrib':'sub attr value'}\n                      })\n    second_i_obj = FancyHash({\"name\":'test name', \n                              'sub_dict':{'name':'sub name', 'attrib':'sub attr value' }})\n    self.assertTrue( fuzzyEquals(\n         i_obj,\n         second_i_obj ))\n\nfuzzyEquals will find attributes that the changeless objects have in\ncommon and compare only that union. This also inspects nested\nrelationships for shared attributes. ###to\\_dict### from\nchangeless.methods import to\\_dict to\\_dict is the reverse conversion\nfrom a base fancy\\_object to its dictionary representation.",
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