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        "description": "miniadt\n========================================\n\nhow to use\n\n.. code:: \n\n    ## create Type\n\n    >>> from miniadt import ADTTypeProvider\n    >>> TreeType = ADTTypeProvider(\"Tree\")\n\n    >>> Node = TreeType(\"Node\", \"e children\")\n    >>> Leaf = TreeType(\"Leaf\", \"e\")\n\n\n    ## printing value\n\n    >>> Leaf(e=10)\n    Leaf(e=10)\n    >>> Node(e=10, children=[Leaf(e=20)])\n    Node(e=10, children=[Leaf(e=20)])\n\n\n    ## use pattern match\n\n    >>> @TreeType.match\n    ... class depth(object):\n    ...     def Node(e, children):\n    ...         return max(depth(e)for e in children) + 1\n    ...\n    ...     def Leaf(e):\n    ...         return 1\n\n    >>> depth(Leaf(e=10))\n    1\n\n    >>> depth(Node(e=10, children=[Leaf(e=20), Node(e=30, children=[Leaf(e=40)])]))\n    3\n\nminiadt has comprehensive check function.\n\n.. code::\n\n  ## not comprehensive definition on pattern matching function error is occur \n\n  ### 1. lack of dispatch andidates\n  >>> class invalid_dispatch(object):\n  ...     def Node(e, children):\n  ...         return \"foo\"\n\n  >>> TreeType.match(invalid_dispatch)\n  Traceback (most recent call last):\n   ...\n  miniadt.NotComprehensive: Leaf is not found. expected=['Node', 'Leaf']\n\n\n  ### 2. dispatch function's arguments are invalid.\n  >>> class invalid_dispatch2(object):\n  ...     def Node(e):  ## correct argsspec is \"e, children\"\n  ...         return \"foo\"\n  ...     def Leaf(e):\n  ...         return \"foo\"\n\n  >>> TreeType.match(invalid_dispatch2)\n  Traceback (most recent call last):\n   ...\n  miniadt.NotComprehensive: on Tree.Node:  expected=['e', 'children'] != actual=['e']\n\n\nsimilar functions\n----------------------------------------\n\n- match\n- match_instance\n- classify\n\n.. code-block:: python\n\n  from miniadt import ADTTypeProvider\n  Tree = ADTTypeProvider(\"Tree\")\n  Node = Tree(\"Node\", \"e children\")\n  Leaf = Tree(\"Leaf\", \"e\")\n\n  print(Leaf(e=10))  # => Leaf(e=10)\n  print(Node(e=10, children=[Leaf(e=20)]))  # => Node(e=10, children=[Leaf(e=20)])\n\n\n  @Tree.match\n  class depth(object):\n      def Leaf(e):\n          return 1\n\n      def Node(e, children):\n          return max(depth(e) for e in children) + 1\n\n\n  print(depth(Leaf(e=10)))  # => 10\n  print(depth(Node(e=10, children=[Leaf(e=20)])))  # 2\n\n\n  @Tree.match_instance\n  class Applicator(object):\n      def __init__(self, name):\n          self.name = name\n\n      def Leaf(self, e):\n          return self.name\n\n      def Node(self, e, children):\n          return [self.name, [self(x) for x in children]]\n\n  print(Applicator(\"foo\")(Leaf(e=10)))  # => foo\n  print(Applicator(\"foo\")(Node(e=10, children=[Leaf(e=20)])))  # => ['foo', ['foo']]\n\n\n  @Tree.classify\n  class ToDict(object):\n      def Leaf(self, leaf):\n          return leaf.e\n\n      def Node(self, node):\n          return {\"e\": node.e, \"children\": [self(e) for e in node.children]}\n\n  todict = ToDict()\n  print(todict(Leaf(e=10)))  # => 10\n  print(todict(Node(e=10, children=[Leaf(e=20)])))  # => {'e': 10, 'children': [20]}",
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