




'''simple docstring'''


class 						a_				:




	def __init__(       self     :  List[str]       ,		__lowerCAmelCase     :  str = ""       ,		__lowerCAmelCase     :  bool = False      ):
							# Mapping from the first character of the prefix of the node
							__snake_case						 =   {}

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

							__snake_case						 =   prefix




	def   lowercase__   (       self     :  List[str]       ,		__lowerCAmelCase     :  str      ):
							__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   lowercase__   (       self     :  Dict       ,		__lowerCAmelCase     :  list[str]      ):
							for word in words:
													self.insert(__lowerCAmelCase      )




	def   lowercase__   (       self     :  Tuple       ,		__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:
													__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   lowercase__   (       self     :  Dict       ,		__lowerCAmelCase     :  str      ):
							__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   lowercase__   (       self     :  Optional[Any]       ,		__lowerCAmelCase     :  str      ):
							__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   lowercase__   (       self     :  Union[str, Any]       ,		__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 						lowerCamelCase__   (				):
						__snake_case						 =   'banana bananas bandana band apple all beast'.split()
						__snake_case						 =   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 						lowerCamelCase__   (				):
						assert test_trie()
def 						lowerCamelCase__   (				):
						__snake_case						 =   RadixNode()
						__snake_case						 =   '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


_lowercase  =			{
    """configuration_pegasus_x""": ["""PEGASUS_X_PRETRAINED_CONFIG_ARCHIVE_MAP""", """PegasusXConfig"""],
}

try:
	if not is_torch_available():
		raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
	pass
else:
	_lowercase  =			[
	    """PEGASUS_X_PRETRAINED_MODEL_ARCHIVE_LIST""",
	    """PegasusXForConditionalGeneration""",
	    """PegasusXModel""",
	    """PegasusXPreTrainedModel""",
	]


if TYPE_CHECKING:
	from .configuration_pegasus_x import PEGASUS_X_PRETRAINED_CONFIG_ARCHIVE_MAP, PegasusXConfig

	try:
		if not is_torch_available():
			raise OptionalDependencyNotAvailable()
	except OptionalDependencyNotAvailable:
		pass
	else:
		from .modeling_pegasus_x import (
		    PEGASUS_X_PRETRAINED_MODEL_ARCHIVE_LIST,
		    PegasusXForConditionalGeneration,
		    PegasusXModel,
		    PegasusXPreTrainedModel,
		)


else:
	import sys

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

