





'''simple docstring'''





class 						a   :




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

										# A node will be a leaf if the tree contains its word
										snake_case       :     List[str] =    is_leaf

										snake_case       :     List[Any] =    prefix




				def 	__snake_case							(							self	:				Dict,    SCREAMING_SNAKE_CASE_	:				str      ):
										snake_case       :     Union[str, Any] =    0
										for q, w in zip(self.prefix,    SCREAMING_SNAKE_CASE_      ):
																if q != w:
																						break

																x += 1

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




				def 	__snake_case							(							self	:				List[Any],    SCREAMING_SNAKE_CASE_	:				list[str]      ):
										for word in words:
																self.insert(SCREAMING_SNAKE_CASE_      )




				def 	__snake_case							(							self	:				int,    SCREAMING_SNAKE_CASE_	:				str      ):
										# Case 1: If the word is the prefix of the node
										# Solution: We set the current node as leaf
										if self.prefix == word:
																snake_case       :     Union[str, Any] =    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:
																snake_case       :     Optional[Any] =    RadixNode(prefix=SCREAMING_SNAKE_CASE_,    is_leaf=SCREAMING_SNAKE_CASE_      )

										else:
																snake_case       :     Optional[int] =    self.nodes[word[0]]
																snake_case       :     List[str] =    incoming_node.match(
																    SCREAMING_SNAKE_CASE_      )

																# 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(SCREAMING_SNAKE_CASE_      )

																# 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:
																						snake_case       :     List[Any] =    remaining_prefix

																						snake_case       :     Dict =    self.nodes[matching_string[0]]
																						snake_case       :     Optional[int] =    RadixNode(SCREAMING_SNAKE_CASE_,    SCREAMING_SNAKE_CASE_      )
																						snake_case       :     List[Any] =    aux_node

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




				def 	__snake_case							(							self	:				int,    SCREAMING_SNAKE_CASE_	:				str      ):
										snake_case       :     Optional[Any] =    self.nodes.get(word[0],    SCREAMING_SNAKE_CASE_      )
										if not incoming_node:
																return False
										else:
																snake_case       :     Tuple =    incoming_node.match(
																    SCREAMING_SNAKE_CASE_      )
																# 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(SCREAMING_SNAKE_CASE_      )




				def 	__snake_case							(							self	:				Optional[Any],    SCREAMING_SNAKE_CASE_	:				str      ):
										snake_case       :     str =    self.nodes.get(word[0],    SCREAMING_SNAKE_CASE_      )
										if not incoming_node:
																return False
										else:
																snake_case       :     Optional[Any] =    incoming_node.match(
																    SCREAMING_SNAKE_CASE_      )
																# 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(SCREAMING_SNAKE_CASE_      )
																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:
																																								snake_case       :     Union[str, Any] =    list(self.nodes.values()      )[0]
																																								snake_case       :     Optional[int] =    merging_node.is_leaf
																																								self.prefix += merging_node.prefix
																																								snake_case       :     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:
																																		snake_case       :     Tuple =    False
																												# If there is 1 edge, we merge it with its child
																												else:
																																		snake_case       :     Optional[Any] =    list(incoming_node.nodes.values()      )[0]
																																		snake_case       :     List[Any] =    merging_node.is_leaf
																																		incoming_node.prefix += merging_node.prefix
																																		snake_case       :     int =    merging_node.nodes

																												return True




				def 	__snake_case							(							self	:				Any,    SCREAMING_SNAKE_CASE_	:				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      A (       ):
						snake_case       :     int =    '''banana bananas bandana band apple all beast'''.split()
						snake_case       :     List[str] =    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      A (       ):
						assert test_trie()

def      A (       ):
						snake_case       :     Any =    RadixNode()
						snake_case       :     Tuple =    '''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'''





import warnings

from ...utils import logging
from .image_processing_layoutlmva import LayoutLMvaImageProcessor


UpperCAmelCase    					=   logging.get_logger(__name__)

class 						a   (				__magic_name__    ):




				def __init__(							self	:				Union[str, Any],    *SCREAMING_SNAKE_CASE_	:				Tuple,    **SCREAMING_SNAKE_CASE_	:				Tuple      ):
										warnings.warn(
										    '''The class LayoutLMv2FeatureExtractor is deprecated and will be removed in version 5 of Transformers.'''
										    ''' Please use LayoutLMv2ImageProcessor instead.''',    SCREAMING_SNAKE_CASE_,    )
										super().__init__(*SCREAMING_SNAKE_CASE_,    **SCREAMING_SNAKE_CASE_      )

