

class 		__SCREAMING_SNAKE_CASE       :







				def __init__(					self    :		int		,				UpperCAmelCase__    :		Dict = ""		,				UpperCAmelCase__    :		Dict = False      ):
										'''simple docstring'''
										lowercase   :       Tuple								={}

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

										lowercase   :       Tuple								=prefix







				def    lowerCamelCase_  (					self    :		Union[str, Any]		,				UpperCAmelCase__    :		List[Any]      ):
										'''simple docstring'''
										lowercase   :       Tuple								=0
										for q, w in zip(self.prefix		,				UpperCAmelCase__      ):
																if q != w:
																						break

																x += 1

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







				def    lowerCamelCase_  (					self    :		Optional[int]		,				UpperCAmelCase__    :		List[str]      ):
										'''simple docstring'''

										for word in words:
																self.insert(UpperCAmelCase__      )







				def    lowerCamelCase_  (					self    :		Dict		,				UpperCAmelCase__    :		Optional[int]      ):
										'''simple docstring'''

										if self.prefix == word:
																lowercase   :       Optional[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:
																lowercase   :       Optional[Any]								=RadixNode(prefix=UpperCAmelCase__		,				is_leaf=UpperCAmelCase__      )

										else:
																lowercase   :       Union[str, Any]								=self.nodes[word[0]]
																lowercase		,  lowercase		,  lowercase   :       Optional[int]								=incoming_node.match(
																    UpperCAmelCase__      )

																# 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(UpperCAmelCase__      )

																# 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:
																						lowercase   :       Union[str, Any]								=remaining_prefix

																						lowercase   :       Optional[Any]								=self.nodes[matching_string[0]]
																						lowercase   :       Optional[int]								=RadixNode(UpperCAmelCase__		,				UpperCAmelCase__      )
																						lowercase   :       int								=aux_node

																						if remaining_word == "":
																												lowercase   :       List[str]								=True
																						else:
																												self.nodes[matching_string[0]].insert(UpperCAmelCase__      )







				def    lowerCamelCase_  (					self    :		int		,				UpperCAmelCase__    :		int      ):
										'''simple docstring'''
										lowercase   :       Dict								=self.nodes.get(word[0]		,				UpperCAmelCase__      )
										if not incoming_node:
																return False
										else:
																lowercase		,  lowercase		,  lowercase   :       Dict								=incoming_node.match(
																    UpperCAmelCase__      )
																# 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(UpperCAmelCase__      )







				def    lowerCamelCase_  (					self    :		List[str]		,				UpperCAmelCase__    :		List[Any]      ):
										'''simple docstring'''
										lowercase   :       List[str]								=self.nodes.get(word[0]		,				UpperCAmelCase__      )
										if not incoming_node:
																return False
										else:
																lowercase		,  lowercase		,  lowercase   :       Optional[int]								=incoming_node.match(
																    UpperCAmelCase__      )
																# 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(UpperCAmelCase__      )
																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:
																																								lowercase   :       Union[str, Any]								=list(self.nodes.values()      )[0]
																																								lowercase   :       int								=merging_node.is_leaf
																																								self.prefix += merging_node.prefix
																																								lowercase   :       Optional[int]								=merging_node.nodes
                    # If there is more than 1 edge, we just mark it as non-leaf
																												elif len(incoming_node.nodes      ) > 1:
																																		lowercase   :       Any								=False
																												# If there is 1 edge, we merge it with its child
																												else:
																																		lowercase   :       List[Any]								=list(incoming_node.nodes.values()      )[0]
																																		lowercase   :       Optional[int]								=merging_node.is_leaf
																																		incoming_node.prefix += merging_node.prefix
																																		lowercase   :       Any								=merging_node.nodes

																												return True







				def    lowerCamelCase_  (					self    :		List[Any]		,				UpperCAmelCase__    :		Union[str, Any] = 0      ):
										'''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 (      )							->     Union[str, Any]:
						lowercase   :       str								='''banana bananas bandana band apple all beast'''.split()
						lowercase   :       int								=RadixNode()
						root.insert_many(__magic_name__	)

						assert all(root.find(__magic_name__	) 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 (      )							->     Tuple:
						assert test_trie()






def 							_lowerCAmelCase (      )							->     List[str]:
						lowercase   :       List[Any]								=RadixNode()
						lowercase   :       Tuple								='''banana bananas bandanas bandana band apple all beast'''.split()
						root.insert_many(__magic_name__	)

						print('''Words:'''      ,   __magic_name__	)
						print('''Tree:'''	)
						root.print_tree()


if __name__ == "__main__":
							main()








'''simple docstring'''





from typing import TYPE_CHECKING

from ...utils import (
    OptionalDependencyNotAvailable,
    _LazyModule,
    is_sentencepiece_available,
    is_tokenizers_available,
    is_torch_available,
)


UpperCamelCase_							=					{"""configuration_plbart""": ["""PLBART_PRETRAINED_CONFIG_ARCHIVE_MAP""", """PLBartConfig"""]}

try:
							if not is_sentencepiece_available():
														raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
							pass
else:
							UpperCamelCase_							=					["""PLBartTokenizer"""]

try:
							if not is_torch_available():
														raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
							pass
else:
							UpperCamelCase_							=					[
							    """PLBART_PRETRAINED_MODEL_ARCHIVE_LIST""",
							    """PLBartForCausalLM""",
							    """PLBartForConditionalGeneration""",
							    """PLBartForSequenceClassification""",
							    """PLBartModel""",
							    """PLBartPreTrainedModel""",
							]


if TYPE_CHECKING:
							from .configuration_plbart import PLBART_PRETRAINED_CONFIG_ARCHIVE_MAP, PLBartConfig

							try:
														if not is_sentencepiece_available():
																					raise OptionalDependencyNotAvailable()
							except OptionalDependencyNotAvailable:
														pass
							else:
														from .tokenization_plbart import PLBartTokenizer

							try:
														if not is_torch_available():
																					raise OptionalDependencyNotAvailable()
							except OptionalDependencyNotAvailable:
														pass
							else:
														from .modeling_plbart import (
														    PLBART_PRETRAINED_MODEL_ARCHIVE_LIST,
														    PLBartForCausalLM,
														    PLBartForConditionalGeneration,
														    PLBartForSequenceClassification,
														    PLBartModel,
														    PLBartPreTrainedModel,
														)


else:
							import sys

							UpperCamelCase_							=					_LazyModule(__name__, globals()["""__file__"""], _import_structure)





