



"""simple docstring"""
class 				lowerCamelCase  :






					'''simple docstring'''





					def __init__(       self:							Union[str, Any]						)   ->	None:
											snake_case_ :dict[str, TrieNode]						=			{}  # Mapping from char to TrieNode
											snake_case_ :Optional[int]						=			False






					def    lowerCAmelCase_				(       self:							Optional[Any]						,     snake_case:							list[str]						)   ->	None:
											for word in words:
																	self.insert(snake_case						)






					def    lowerCAmelCase_				(       self:							List[str]						,     snake_case:							str						)   ->	None:
											snake_case_ :Optional[Any]						=			self
											for char in word:
																	if char not in curr.nodes:
																							snake_case_ :Any						=			TrieNode()
																	snake_case_ :Union[str, Any]						=			curr.nodes[char]
											snake_case_ :str						=			True






					def    lowerCAmelCase_				(       self:							Dict						,     snake_case:							str						)   ->	bool:
											snake_case_ :Any						=			self
											for char in word:
																	if char not in curr.nodes:
																							return False
																	snake_case_ :Union[str, Any]						=			curr.nodes[char]
											return curr.is_leaf






					def    lowerCAmelCase_				(       self:							str						,     snake_case:							str						)   ->	None:

											def _delete(snake_case:							TrieNode						,     snake_case:							str						,     snake_case:							int						) -> bool:
																	if index == len(snake_case						):
																							# If word does not exist
																							if not curr.is_leaf:
																													return False
																							snake_case_ :Any						=			False
																							return len(curr.nodes						) == 0
																	snake_case_ :Optional[int]						=			word[index]
																	snake_case_ :Tuple						=			curr.nodes.get(snake_case						)
																	# If char not in current trie node
																	if not char_node:
																							return False
																	# Flag to check if node can be deleted
																	snake_case_ :Dict						=			_delete(snake_case						,     snake_case						,     index + 1						)
																	if delete_curr:
																							del curr.nodes[char]
																							return len(curr.nodes						) == 0
																	return delete_curr

											_delete(self						,     snake_case						,     0						)

def    A_  (			_lowercase,					_lowercase	):







						'''simple docstring'''


						if node.is_leaf:
												print(_lowercase,					end=""" """	)

						for key, value in node.nodes.items():
												print_words(_lowercase,					word + key	)
def    A_  (			):







						'''simple docstring'''


						snake_case_ :Tuple						=			"""banana bananas bandana band apple all beast""".split()
						snake_case_ :Dict						=			TrieNode()
						root.insert_many(_lowercase	)
						# print_words(root, "")
						assert all(root.find(_lowercase	) for word in words	)
						assert root.find("""banana"""	)
						assert not root.find("""bandanas"""	)
						assert not root.find("""apps"""	)
						assert root.find("""apple"""	)
						assert root.find("""all"""	)
						root.delete("""all"""	)
						assert not root.find("""all"""	)
						root.delete("""banana"""	)
						assert not root.find("""banana"""	)
						assert root.find("""bananas"""	)
						return True
def    A_  (			_lowercase,					_lowercase	):







						'''simple docstring'''


						print(str(_lowercase	),					"""works!""" if passes else """doesn't work :("""	)
def    A_  (			):







						'''simple docstring'''


						assert test_trie()
def    A_  (			):







						'''simple docstring'''


						print_results("""Testing trie functionality""",					test_trie()	)


if __name__ == "__main__":
						main()

"""simple docstring"""






from typing import TYPE_CHECKING

from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_tokenizers_available, is_torch_available


lowerCAmelCase__  :  str						     =	{
    'configuration_roc_bert': ['ROC_BERT_PRETRAINED_CONFIG_ARCHIVE_MAP', 'RoCBertConfig'],
    'tokenization_roc_bert': ['RoCBertTokenizer'],
}

try:
						if not is_tokenizers_available():
												raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
						pass
else:
						pass

try:
						if not is_torch_available():
												raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
						pass
else:
						lowerCAmelCase__  :  List[str]						     =	[
						    'ROC_BERT_PRETRAINED_MODEL_ARCHIVE_LIST',
						    'RoCBertForCausalLM',
						    'RoCBertForMaskedLM',
						    'RoCBertForMultipleChoice',
						    'RoCBertForPreTraining',
						    'RoCBertForQuestionAnswering',
						    'RoCBertForSequenceClassification',
						    'RoCBertForTokenClassification',
						    'RoCBertLayer',
						    'RoCBertModel',
						    'RoCBertPreTrainedModel',
						    'load_tf_weights_in_roc_bert',
						]

if TYPE_CHECKING:
						from .configuration_roc_bert import ROC_BERT_PRETRAINED_CONFIG_ARCHIVE_MAP, RoCBertConfig
						from .tokenization_roc_bert import RoCBertTokenizer

						try:
												if not is_tokenizers_available():
																		raise OptionalDependencyNotAvailable()
						except OptionalDependencyNotAvailable:
												pass
						else:
												raise OptionalDependencyNotAvailable()

						try:
												if not is_torch_available():
																		raise OptionalDependencyNotAvailable()
						except OptionalDependencyNotAvailable:
												pass
						else:
												from .modeling_roc_bert import (
												    ROC_BERT_PRETRAINED_MODEL_ARCHIVE_LIST,
												    RoCBertForCausalLM,
												    RoCBertForMaskedLM,
												    RoCBertForMultipleChoice,
												    RoCBertForPreTraining,
												    RoCBertForQuestionAnswering,
												    RoCBertForSequenceClassification,
												    RoCBertForTokenClassification,
												    RoCBertLayer,
												    RoCBertModel,
												    RoCBertPreTrainedModel,
												    load_tf_weights_in_roc_bert,
												)


else:
						import sys

						lowerCAmelCase__  :  str						     =	_LazyModule(__name__, globals()['__file__'], _import_structure, module_spec=__spec__)



