


class 				A       :
					'''simple docstring'''






					def __init__(self       :		Any ,   _UpperCAmelCase       :		str = "" ,   _UpperCAmelCase       :		bool = False						)		->  None:




							"""simple docstring"""


							lowercase__	     =						{}

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

							lowercase__	     =						prefix

					def     lowerCamelCase__	(self       :		str ,   _UpperCAmelCase       :		str						)		->  tuple[str, str, str]:




							"""simple docstring"""


							lowercase__	     =						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       :		List[Any] ,   _UpperCAmelCase       :		list[str]						)		->  None:




							"""simple docstring"""


							for word in words:
									self.insert(_UpperCAmelCase						)

					def     lowerCamelCase__	(self       :		Any ,   _UpperCAmelCase       :		str						)		->  None:




							"""simple docstring"""


							if self.prefix == word:
									lowercase__	     =						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__	     =						RadixNode(prefix=_UpperCAmelCase ,   is_leaf=_UpperCAmelCase						)

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

											lowercase__	     =						self.nodes[matching_string[0]]
											lowercase__	     =						RadixNode(_UpperCAmelCase ,   _UpperCAmelCase						)
											lowercase__	     =						aux_node

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

					def     lowerCamelCase__	(self       :		List[Any] ,   _UpperCAmelCase       :		str						)		->  bool:




							"""simple docstring"""


							lowercase__	     =						self.nodes.get(word[0] ,   _UpperCAmelCase						)
							if not incoming_node:
									return False
							else:
									lowercase__     ,      lowercase__     ,      lowercase__	     =						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       :		Any ,   _UpperCAmelCase       :		str						)		->  bool:




							"""simple docstring"""


							lowercase__	     =						self.nodes.get(word[0] ,   _UpperCAmelCase						)
							if not incoming_node:
									return False
							else:
									lowercase__     ,      lowercase__     ,      lowercase__	     =						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__	     =						list(self.nodes.values()						)[0]
																	lowercase__	     =						merging_node.is_leaf
																	self.prefix += merging_node.prefix
																	lowercase__	     =						merging_node.nodes
                    # If there is more than 1 edge, we just mark it as non-leaf
													elif len(incoming_node.nodes						) > 1:
															lowercase__	     =						False
													# If there is 1 edge, we merge it with its child
													else:
															lowercase__	     =						list(incoming_node.nodes.values()						)[0]
															lowercase__	     =						merging_node.is_leaf
															incoming_node.prefix += merging_node.prefix
															lowercase__	     =						merging_node.nodes

													return True


					def     lowerCamelCase__	(self       :		List[str] ,   _UpperCAmelCase       :		int = 0						)		->  None:




							"""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 					UpperCamelCase   (      )  ->    bool:
		"""simple docstring"""




		lowercase__	     =						"""banana bananas bandana band apple all beast""".split()
		lowercase__	     =						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 					UpperCamelCase   (      )  ->    None:
		"""simple docstring"""




		assert test_trie()






def 					UpperCamelCase   (      )  ->    None:
		"""simple docstring"""




		lowercase__	     =						RadixNode()
		lowercase__	     =						"""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()





import os
import sys

A			:						Tuple        =  os.path.join(os.path.dirname(__file__), 'src')
sys.path.append(SRC_DIR)


from transformers import (
    AutoConfig,
    AutoModel,
    AutoModelForCausalLM,
    AutoModelForMaskedLM,
    AutoModelForQuestionAnswering,
    AutoModelForSequenceClassification,
    AutoTokenizer,
    add_start_docstrings,
)


A			:						Dict        =  [
    'torch',
    'numpy',
    'tokenizers',
    'filelock',
    'requests',
    'tqdm',
    'regex',
    'sentencepiece',
    'sacremoses',
    'importlib_metadata',
    'huggingface_hub',
]






@add_start_docstrings(AutoConfig.__doc__	)
def 					UpperCamelCase   (      *__magic_name__	:				str       ,       **__magic_name__	:				List[Any]	)  ->    str:
		"""simple docstring"""




		return AutoConfig.from_pretrained(*__magic_name__       ,       **__magic_name__	)






@add_start_docstrings(AutoTokenizer.__doc__	)
def 					UpperCamelCase   (      *__magic_name__	:				Any       ,       **__magic_name__	:				Optional[Any]	)  ->    Optional[Any]:
		"""simple docstring"""




		return AutoTokenizer.from_pretrained(*__magic_name__       ,       **__magic_name__	)






@add_start_docstrings(AutoModel.__doc__	)
def 					UpperCamelCase   (      *__magic_name__	:				str       ,       **__magic_name__	:				Optional[Any]	)  ->    Tuple:
		"""simple docstring"""




		return AutoModel.from_pretrained(*__magic_name__       ,       **__magic_name__	)






@add_start_docstrings(AutoModelForCausalLM.__doc__	)
def 					UpperCamelCase   (      *__magic_name__	:				str       ,       **__magic_name__	:				Tuple	)  ->    List[str]:
		"""simple docstring"""




		return AutoModelForCausalLM.from_pretrained(*__magic_name__       ,       **__magic_name__	)






@add_start_docstrings(AutoModelForMaskedLM.__doc__	)
def 					UpperCamelCase   (      *__magic_name__	:				Optional[Any]       ,       **__magic_name__	:				Any	)  ->    Optional[int]:
		"""simple docstring"""




		return AutoModelForMaskedLM.from_pretrained(*__magic_name__       ,       **__magic_name__	)






@add_start_docstrings(AutoModelForSequenceClassification.__doc__	)
def 					UpperCamelCase   (      *__magic_name__	:				Any       ,       **__magic_name__	:				List[str]	)  ->    Union[str, Any]:
		"""simple docstring"""




		return AutoModelForSequenceClassification.from_pretrained(*__magic_name__       ,       **__magic_name__	)







@add_start_docstrings(AutoModelForQuestionAnswering.__doc__	)
def 					UpperCamelCase   (      *__magic_name__	:				Dict       ,       **__magic_name__	:				List[Any]	)  ->    int:
		"""simple docstring"""




		return AutoModelForQuestionAnswering.from_pretrained(*__magic_name__       ,       **__magic_name__	)

