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    "info": {
        "author": "John-Paul Jorissen",
        "author_email": "jjorissen52@gmail.com",
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            "Development Status :: 3 - Alpha",
            "Intended Audience :: Developers",
            "License :: OSI Approved :: Apache Software License",
            "Operating System :: Microsoft :: Windows :: Windows 10",
            "Operating System :: POSIX :: Linux",
            "Programming Language :: Python :: 3.5",
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        "description": "\n.. code:: ipython3\n\n    from xmlmanip import XMLSchema, SearchableList\n\n.. code:: ipython3\n\n    string = \"\"\"\n    <breakfast_menu>\n    <food tag=\"waffles\">\n        <name>Belgian Waffles</name>\n        <price>$5.95</price>\n        <description>\n       Two of our famous Belgian Waffles with plenty of real maple syrup\n       </description>\n        <calories>650</calories>\n    </food>\n    <food tag=\"waffles\">\n        <name >Strawberry Belgian Waffles</name>\n        <price>$7.95</price>\n        <description>\n        Light Belgian waffles covered with strawberries and whipped cream\n        </description>\n        <calories>900</calories>\n    </food>\n    <food tag=\"waffles\">\n        <name>Berry-Berry Belgian Waffles</name>\n        <price>$8.95</price>\n        <description>\n        Belgian waffles covered with assorted fresh berries and whipped cream\n        </description>\n        <calories>900</calories>\n    </food>\n    <food tag=\"toast\">\n        <name>French Toast</name>\n        <price>$4.50</price>\n        <description>\n        Thick slices made from our homemade sourdough bread\n        </description>\n        <calories>600</calories>\n    </food>\n    <food tag=\"classic\">\n        <name>Homestyle Breakfast</name>\n        <price>$6.95</price>\n        <description>\n        Two eggs, bacon or sausage, toast, and our ever-popular hash browns\n        </description>\n        <calories>950</calories>\n    </food>\n    </breakfast_menu>\n    \"\"\"\n\nYou can import your XML string to convert it to a dict. (dict conversion\nhandled by https://github.com/martinblech/xmltodict).\n\n.. code:: ipython3\n\n    schema = XMLSchema(string)\n    schema\n\n\n\n\n.. parsed-literal::\n\n    XMLSchema([('breakfast_menu',\n                OrderedDict([('food',\n                              [OrderedDict([('@tag', 'waffles'),\n                                            ('name', 'Belgian Waffles'),\n                                            ('price', '$5.95'),\n                                            ('description',\n                                             'Two of our famous Belgian Waffles with plenty of real maple syrup'),\n                                            ('calories', '650')]),\n                               OrderedDict([('@tag', 'waffles'),\n                                            ('name', 'Strawberry Belgian Waffles'),\n                                            ('price', '$7.95'),\n                                            ('description',\n                                             'Light Belgian waffles covered with strawberries and whipped cream'),\n                                            ('calories', '900')]),\n                               OrderedDict([('@tag', 'waffles'),\n                                            ('name',\n                                             'Berry-Berry Belgian Waffles'),\n                                            ('price', '$8.95'),\n                                            ('description',\n                                             'Belgian waffles covered with assorted fresh berries and whipped cream'),\n                                            ('calories', '900')]),\n                               OrderedDict([('@tag', 'toast'),\n                                            ('name', 'French Toast'),\n                                            ('price', '$4.50'),\n                                            ('description',\n                                             'Thick slices made from our homemade sourdough bread'),\n                                            ('calories', '600')]),\n                               OrderedDict([('@tag', 'classic'),\n                                            ('name', 'Homestyle Breakfast'),\n                                            ('price', '$6.95'),\n                                            ('description',\n                                             'Two eggs, bacon or sausage, toast, and our ever-popular hash browns'),\n                                            ('calories', '950')])])]))])\n\n\n\nUse .search() to search for data of interest.\n\n.. code:: ipython3\n\n    schema.search(name=\"Homestyle Breakfast\")\n\n\n\n\n.. parsed-literal::\n\n    [SchemaInnerDict([('@tag', 'classic'),\n                      ('name', 'Homestyle Breakfast'),\n                      ('price', '$6.95'),\n                      ('description',\n                       'Two eggs, bacon or sausage, toast, and our ever-popular hash browns'),\n                      ('calories', '950')])]\n\n\n\nThe ``SearchAbleList`` class will also allow you to easily search\nthrough lists of dicts.\n\n.. code:: ipython3\n\n    example_list = [{\"thing\": 1, \"other_thing\": 2}, {\"thing\": 2, \"other_thing\": 2}]\n    searchable_list = SearchableList(example_list)\n    print(searchable_list.search(thing__ne=2)) # thing != 2\n    print(searchable_list.search(other_thing=2))\n\n\n.. parsed-literal::\n\n    [{'thing': 1, 'other_thing': 2}]\n    [{'thing': 1, 'other_thing': 2}, {'thing': 2, 'other_thing': 2}]\n\n\nUse .locate() if you are interested in the \"path\" to your data of\ninterest and .retrieve() to get an object from its \"path.\"\n\n.. code:: ipython3\n\n    schema.locate(name=\"Homestyle Breakfast\")\n\n\n\n\n.. parsed-literal::\n\n    ['__breakfast_menu__food__4__name']\n\n\n\n.. code:: ipython3\n\n    schema.retrieve('__breakfast_menu__food__4__name')\n\n\n\n\n.. parsed-literal::\n\n    'Homestyle Breakfast'\n\n\n\n.. code:: ipython3\n\n    schema.retrieve('__breakfast_menu__food__4')\n\n\n\n\n.. parsed-literal::\n\n    SchemaInnerDict([('@tag', 'classic'),\n                     ('name', 'Homestyle Breakfast'),\n                     ('price', '$6.95'),\n                     ('description',\n                      'Two eggs, bacon or sausage, toast, and our ever-popular hash browns'),\n                     ('calories', '950')])\n\n\n\nYou have access to all of the standard comparison methods.\n\n.. code:: ipython3\n\n    paths = schema.locate(name__contains=\"Waffles\")\n    paths\n\n\n\n\n.. parsed-literal::\n\n    ['__breakfast_menu__food__0__name',\n     '__breakfast_menu__food__1__name',\n     '__breakfast_menu__food__2__name']\n\n\n\n.. code:: ipython3\n\n    schema.search(name__contains=\"Waffles\")\n\n\n\n\n.. parsed-literal::\n\n    [SchemaInnerDict([('@tag', 'waffles'),\n                      ('name', 'Belgian Waffles'),\n                      ('price', '$5.95'),\n                      ('description',\n                       'Two of our famous Belgian Waffles with plenty of real maple syrup'),\n                      ('calories', '650')]),\n     SchemaInnerDict([('@tag', 'waffles'),\n                      ('name', 'Berry-Berry Belgian Waffles'),\n                      ('price', '$8.95'),\n                      ('description',\n                       'Belgian waffles covered with assorted fresh berries and whipped cream'),\n                      ('calories', '900')]),\n     SchemaInnerDict([('@tag', 'waffles'),\n                      ('name', 'Strawberry Belgian Waffles'),\n                      ('price', '$7.95'),\n                      ('description',\n                       'Light Belgian waffles covered with strawberries and whipped cream'),\n                      ('calories', '900')])]\n\n\n\n.. code:: ipython3\n\n    schema.search(calories__lt=\"700\")\n\n\n\n\n.. parsed-literal::\n\n    [SchemaInnerDict([('@tag', 'toast'),\n                      ('name', 'French Toast'),\n                      ('price', '$4.50'),\n                      ('description',\n                       'Thick slices made from our homemade sourdough bread'),\n                      ('calories', '600')]),\n     SchemaInnerDict([('@tag', 'waffles'),\n                      ('name', 'Belgian Waffles'),\n                      ('price', '$5.95'),\n                      ('description',\n                       'Two of our famous Belgian Waffles with plenty of real maple syrup'),\n                      ('calories', '650')])]\n\n\n\nWarning, all types are compared as strings, which may have undesirable results.\n===============================================================================\n\n.. code:: ipython3\n\n    schema.search(calories__lt=\"700\") == schema.search(calories__lt=\"70\") \n\n\n\n\n.. parsed-literal::\n\n    True\n\n\n\nSome attributes cannot be accessed via keyword arguements,\nunfortunately.\n\n.. code:: ipython3\n\n    schema.search(@tag__ne=\"waffles\")\n\n\n::\n\n\n      File \"<ipython-input-13-da95e3095c41>\", line 1\n        schema.search(@tag__ne=\"waffles\")\n                      ^\n    SyntaxError: invalid syntax\n\n\n\nYou will need to pass the desired attribute and comparison method as\nstrings in this case.\n\n.. code:: ipython3\n\n    schema.search('@tag', 'waffles') # default comparison is __eq__\n\n\n\n\n.. parsed-literal::\n\n    [SchemaInnerDict([('@tag', 'waffles'),\n                      ('name', 'Belgian Waffles'),\n                      ('price', '$5.95'),\n                      ('description',\n                       'Two of our famous Belgian Waffles with plenty of real maple syrup'),\n                      ('calories', '650')]),\n     SchemaInnerDict([('@tag', 'waffles'),\n                      ('name', 'Strawberry Belgian Waffles'),\n                      ('price', '$7.95'),\n                      ('description',\n                       'Light Belgian waffles covered with strawberries and whipped cream'),\n                      ('calories', '900')]),\n     SchemaInnerDict([('@tag', 'waffles'),\n                      ('name', 'Berry-Berry Belgian Waffles'),\n                      ('price', '$8.95'),\n                      ('description',\n                       'Belgian waffles covered with assorted fresh berries and whipped cream'),\n                      ('calories', '900')])]\n\n\n\n.. code:: ipython3\n\n    schema.search('@tag', 'waffles', comparison='ne')\n\n\n\n\n.. parsed-literal::\n\n    [SchemaInnerDict([('@tag', 'classic'),\n                      ('name', 'Homestyle Breakfast'),\n                      ('price', '$6.95'),\n                      ('description',\n                       'Two eggs, bacon or sausage, toast, and our ever-popular hash browns'),\n                      ('calories', '950')]),\n     SchemaInnerDict([('@tag', 'toast'),\n                      ('name', 'French Toast'),\n                      ('price', '$4.50'),\n                      ('description',\n                       'Thick slices made from our homemade sourdough bread'),\n                      ('calories', '600')])]\n\n\n\n",
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