


class      UpperCamelCase:


					def __init__(    self						:		List[str]  ,     SCREAMING_SNAKE_CASE						:		str = ""  ,     SCREAMING_SNAKE_CASE						:		bool = False    )      ->						Union[str, Any]:




											'''simple docstring'''

											__snake_case				=		{}

											# A node will be a leaf if the tree contains its word
											__snake_case				=		is_leaf

											__snake_case				=		prefix


					def 				SCREAMING_SNAKE_CASE_	(    self						:		List[str]  ,     SCREAMING_SNAKE_CASE						:		str    )      ->						str:




											'''simple docstring'''

											__snake_case				=		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 				SCREAMING_SNAKE_CASE_	(    self						:		Dict  ,     SCREAMING_SNAKE_CASE						:		list[str]    )      ->						Tuple:




											'''simple docstring'''

											for word in words:
																	self.insert(__lowerCAmelCase    )


					def 				SCREAMING_SNAKE_CASE_	(    self						:		Tuple  ,     SCREAMING_SNAKE_CASE						:		str    )      ->						Union[str, Any]:




											'''simple docstring'''

											if self.prefix == word:
																	__snake_case				=		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				=		RadixNode(prefix=__lowerCAmelCase  ,     is_leaf=__lowerCAmelCase    )

											else:
																	__snake_case				=		self.nodes[word[0]]
																	__snake_case		,       __snake_case		,       __snake_case				=		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:
																							__snake_case				=		remaining_prefix

																							__snake_case				=		self.nodes[matching_string[0]]
																							__snake_case				=		RadixNode(__lowerCAmelCase  ,     __lowerCAmelCase    )
																							__snake_case				=		aux_node

																							if remaining_word == "":
																													__snake_case				=		True
																							else:
																													self.nodes[matching_string[0]].insert(__lowerCAmelCase    )


					def 				SCREAMING_SNAKE_CASE_	(    self						:		Dict  ,     SCREAMING_SNAKE_CASE						:		str    )      ->						str:




											'''simple docstring'''

											__snake_case				=		self.nodes.get(word[0]  ,     __lowerCAmelCase    )
											if not incoming_node:
																	return False
											else:
																	__snake_case		,       __snake_case		,       __snake_case				=		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 				SCREAMING_SNAKE_CASE_	(    self						:		Optional[Any]  ,     SCREAMING_SNAKE_CASE						:		str    )      ->						int:




											'''simple docstring'''

											__snake_case				=		self.nodes.get(word[0]  ,     __lowerCAmelCase    )
											if not incoming_node:
																	return False
											else:
																	__snake_case		,       __snake_case		,       __snake_case				=		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:
																																									__snake_case				=		list(self.nodes.values()    )[0]
																																									__snake_case				=		merging_node.is_leaf
																																									self.prefix += merging_node.prefix
																																									__snake_case				=		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				=		False
																													# If there is 1 edge, we merge it with its child
																													else:
																																			__snake_case				=		list(incoming_node.nodes.values()    )[0]
																																			__snake_case				=		merging_node.is_leaf
																																			incoming_node.prefix += merging_node.prefix
																																			__snake_case				=		merging_node.nodes

																													return True






					def 				SCREAMING_SNAKE_CASE_	(    self						:		Union[str, Any]  ,     SCREAMING_SNAKE_CASE						:		int = 0    )      ->						str:




											'''simple docstring'''

											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 						_lowerCAmelCase							(     )    ->						Dict:


						'''simple docstring'''






						__snake_case				=		"banana bananas bandana band apple all beast".split()
						__snake_case				=		RadixNode()
						root.insert_many(_lowerCAmelCase			)

						assert all(root.find(_lowerCAmelCase			) 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 						_lowerCAmelCase							(     )    ->						int:


						'''simple docstring'''






						assert test_trie()





def 						_lowerCAmelCase							(     )    ->						Dict:


						'''simple docstring'''






						__snake_case				=		RadixNode()
						__snake_case				=		"banana bananas bandanas bandana band apple all beast".split()
						root.insert_many(_lowerCAmelCase			)

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


if __name__ == "__main__":
	main()











'''simple docstring'''


from .configuration_bert_masked import MaskedBertConfig
from .modeling_bert_masked import (
    MaskedBertForMultipleChoice,
    MaskedBertForQuestionAnswering,
    MaskedBertForSequenceClassification,
    MaskedBertForTokenClassification,
    MaskedBertModel,
)
from .modules import *

