


class A__     :



  """simple docstring"""



  def __init__( self			:  Tuple				,				lowerCamelCase__			:  str = ""				,				lowerCamelCase__			:  bool = False       ):
        # Mapping from the first character of the prefix of the node
        a__	:  dict[str, RadixNode]     =   {}

        # A node will be a leaf if the tree contains its word
        a__	:  Optional[Any]     =   is_leaf

        a__	:  Optional[Any]     =   prefix

  def    _UpperCamelCase( self			:  List[Any]				,				lowerCamelCase__			:  str       ):
        a__	:  List[str]     =   0
        for q, w in zip(self.prefix				,				lowerCamelCase__       ):
              if q != w:
                    break

              x += 1

        return self.prefix[:x], self.prefix[x:], word[x:]

  def    _UpperCamelCase( self			:  str				,				lowerCamelCase__			:  list[str]       ):
        for word in words:
              self.insert(lowerCamelCase__       )

  def    _UpperCamelCase( self			:  Dict				,				lowerCamelCase__			:  str       ):
        # Case 1: If the word is the prefix of the node
        # Solution: We set the current node as leaf
        if self.prefix == word:
              a__	:  Optional[int]     =   True

        # Case 2: The node has no edges that have a prefix to the word
        # Solution: We create an edge from the current node to a new one
        # containing the word
        elif word[0] not in self.nodes:
              a__	:  Optional[int]     =   RadixNode(prefix=lowerCamelCase__				,				is_leaf=lowerCamelCase__       )

        else:
              a__	:  List[str]     =   self.nodes[word[0]]
              a__,	a__,	a__	:  Dict     =   incoming_node.match(
                  lowerCamelCase__       )

              # Case 3: The node prefix is equal to the matching
              # Solution: We insert remaining word on the next node
              if remaining_prefix == "":
                    self.nodes[matching_string[0]].insert(lowerCamelCase__       )

              # Case 4: The word is greater equal to the matching
              # Solution: Create a node in between both nodes, change
              # prefixes and add the new node for the remaining word
              else:
                    a__	:  Optional[Any]     =   remaining_prefix

                    a__	:  str     =   self.nodes[matching_string[0]]
                    a__	:  Union[str, Any]     =   RadixNode(lowerCamelCase__				,				lowerCamelCase__       )
                    a__	:  int     =   aux_node

                    if remaining_word == "":
                          a__	:  Union[str, Any]     =   True
                    else:
                          self.nodes[matching_string[0]].insert(lowerCamelCase__       )

  def    _UpperCamelCase( self			:  Optional[int]				,				lowerCamelCase__			:  str       ):
        a__	:  List[Any]     =   self.nodes.get(word[0]				,				lowerCamelCase__       )
        if not incoming_node:
              return False
        else:
              a__,	a__,	a__	:  List[Any]     =   incoming_node.match(
                  lowerCamelCase__       )
              # If there is remaining prefix, the word can't be on the tree
              if remaining_prefix != "":
                    return False
              # This applies when the word and the prefix are equal
              elif remaining_word == "":
                    return incoming_node.is_leaf
              # We have word remaining so we check the next node
              else:
                    return incoming_node.find(lowerCamelCase__       )

  def    _UpperCamelCase( self			:  int				,				lowerCamelCase__			:  str       ):
        a__	:  Any     =   self.nodes.get(word[0]				,				lowerCamelCase__       )
        if not incoming_node:
              return False
        else:
              a__,	a__,	a__	:  Tuple     =   incoming_node.match(
                  lowerCamelCase__       )
              # If there is remaining prefix, the word can't be on the tree
              if remaining_prefix != "":
                    return False
              # We have word remaining so we check the next node
              elif remaining_word != "":
                    return incoming_node.delete(lowerCamelCase__       )
              else:
                    # If it is not a leaf, we don't have to delete
                    if not incoming_node.is_leaf:
                          return False
                    else:
                          # We delete the nodes if no edges go from it
                          if len(incoming_node.nodes       ) == 0:
                                del self.nodes[word[0]]
                                # We merge the current node with its only child
                                if len(self.nodes       ) == 1 and not self.is_leaf:
                                      a__	:  Any     =   list(self.nodes.values()       )[0]
                                      a__	:  List[str]     =   merging_node.is_leaf
                                      self.prefix += merging_node.prefix
                                      a__	:  List[str]     =   merging_node.nodes
                    # If there is more than 1 edge, we just mark it as non-leaf
                          elif len(incoming_node.nodes       ) > 1:
                                a__	:  Tuple     =   False
                          # If there is 1 edge, we merge it with its child
                          else:
                                a__	:  Union[str, Any]     =   list(incoming_node.nodes.values()       )[0]
                                a__	:  Optional[Any]     =   merging_node.is_leaf
                                incoming_node.prefix += merging_node.prefix
                                a__	:  Dict     =   merging_node.nodes

                          return True

  def    _UpperCamelCase( self			:  Optional[int]				,				lowerCamelCase__			:  int = 0       ):
        if self.prefix != "":
              print("-" * height				,				self.prefix				,				"  (leaf)" if self.is_leaf else ""       )

        for value in self.nodes.values():
              value.print_tree(height + 1       )




def UpperCamelCase_				(				)	->   bool:
      a__	:  Tuple     =   "banana bananas bandana band apple all beast".split()
      a__	:  Union[str, Any]     =   RadixNode()
      root.insert_many(__a      )

      assert all(root.find(__a      ) for word in words      )
      assert not root.find("bandanas"      )
      assert not root.find("apps"      )
      root.delete("all"      )
      assert not root.find("all"      )
      root.delete("banana"      )
      assert not root.find("banana"      )
      assert root.find("bananas"      )

      return True



def UpperCamelCase_				(				)	->   None:
      assert test_trie()



def UpperCamelCase_				(				)	->   None:
      a__	:  Tuple     =   RadixNode()
      a__	:  int     =   "banana bananas bandanas bandana band apple all beast".split()
      root.insert_many(__a      )

      print("Words:"			,				__a      )
      print("Tree:"      )
      root.print_tree()


if __name__ == "__main__":
    main()






'''simple docstring'''





from typing import TYPE_CHECKING

from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_torch_available


SCREAMING_SNAKE_CASE__          =  {
    "configuration_clap": [
        "CLAP_PRETRAINED_MODEL_ARCHIVE_LIST",
        "ClapAudioConfig",
        "ClapConfig",
        "ClapTextConfig",
    ],
    "processing_clap": ["ClapProcessor"],
}

try:
 if not is_torch_available():
  raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
 pass
else:
 SCREAMING_SNAKE_CASE__          =  [
     "CLAP_PRETRAINED_MODEL_ARCHIVE_LIST",
     "ClapModel",
     "ClapPreTrainedModel",
     "ClapTextModel",
     "ClapTextModelWithProjection",
     "ClapAudioModel",
     "ClapAudioModelWithProjection",
 ]
 SCREAMING_SNAKE_CASE__          =  ["ClapFeatureExtractor"]

if TYPE_CHECKING:
 from .configuration_clap import (
     CLAP_PRETRAINED_MODEL_ARCHIVE_LIST,
     ClapAudioConfig,
     ClapConfig,
     ClapTextConfig,
 )
 from .processing_clap import ClapProcessor

 try:
  if not is_torch_available():
   raise OptionalDependencyNotAvailable()
 except OptionalDependencyNotAvailable:
  pass
 else:
  from .feature_extraction_clap import ClapFeatureExtractor
  from .modeling_clap import (
      CLAP_PRETRAINED_MODEL_ARCHIVE_LIST,
      ClapAudioModel,
      ClapAudioModelWithProjection,
      ClapModel,
      ClapPreTrainedModel,
      ClapTextModel,
      ClapTextModelWithProjection,
  )


else:
 import sys

 SCREAMING_SNAKE_CASE__          =  _LazyModule(__name__, globals()["__file__"], _import_structure, module_spec=__spec__)




