


"""simple docstring"""


class 			lowerCamelCase__						:







						def __init__(							self   :    List[Any]		):
								A					       = {}  # Mapping from char to TrieNode
								A					       = False







						def __a						(							self   :    List[str]			,			_lowercase   :    list[str]		):
								for word in words:
										self.insert(_lowercase		)







						def __a						(							self   :    str			,			_lowercase   :    str		):
								A					       = self
								for char in word:
										if char not in curr.nodes:
												A					       = TrieNode()
										A					       = curr.nodes[char]
								A					       = True







						def __a						(							self   :    Union[str, Any]			,			_lowercase   :    str		):
								A					       = self
								for char in word:
										if char not in curr.nodes:
												return False
										A					       = curr.nodes[char]
								return curr.is_leaf







						def __a						(							self   :    Optional[int]			,			_lowercase   :    str		):

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

								_delete(self			,			_lowercase			,			0		)







def  __snake_case       (   UpperCamelCase__ ,			UpperCamelCase__	)      ->		None:







		"""simple docstring"""





		if node.is_leaf:
				print(UpperCamelCase__ ,			end=' '	)

		for key, value in node.nodes.items():
				print_words(UpperCamelCase__ ,			word + key	)







def  __snake_case       (   )      ->		bool:







		"""simple docstring"""





		A					       = 'banana bananas bandana band apple all beast'.split()
		A					       = TrieNode()
		root.insert_many(UpperCamelCase__	)
		# print_words(root, "")
		assert all(root.find(UpperCamelCase__	) 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  __snake_case       (   UpperCamelCase__ ,			UpperCamelCase__	)      ->		None:







		"""simple docstring"""





		print(str(UpperCamelCase__	) ,			'works!' if passes else 'doesn\'t work :('	)







def  __snake_case       (   )      ->		None:







		"""simple docstring"""





		assert test_trie()







def  __snake_case       (   )      ->		None:







		"""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_torch_available


UpperCamelCase						:				Dict             =      {
    "configuration_megatron_bert": ["MEGATRON_BERT_PRETRAINED_CONFIG_ARCHIVE_MAP", "MegatronBertConfig"],
}

try:
	if not is_torch_available():
		raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
	pass
else:
	UpperCamelCase						:				Any             =      [
	    "MEGATRON_BERT_PRETRAINED_MODEL_ARCHIVE_LIST",
	    "MegatronBertForCausalLM",
	    "MegatronBertForMaskedLM",
	    "MegatronBertForMultipleChoice",
	    "MegatronBertForNextSentencePrediction",
	    "MegatronBertForPreTraining",
	    "MegatronBertForQuestionAnswering",
	    "MegatronBertForSequenceClassification",
	    "MegatronBertForTokenClassification",
	    "MegatronBertModel",
	    "MegatronBertPreTrainedModel",
	]

if TYPE_CHECKING:
	from .configuration_megatron_bert import MEGATRON_BERT_PRETRAINED_CONFIG_ARCHIVE_MAP, MegatronBertConfig

	try:
		if not is_torch_available():
			raise OptionalDependencyNotAvailable()
	except OptionalDependencyNotAvailable:
		pass
	else:
		from .modeling_megatron_bert import (
		    MEGATRON_BERT_PRETRAINED_MODEL_ARCHIVE_LIST,
		    MegatronBertForCausalLM,
		    MegatronBertForMaskedLM,
		    MegatronBertForMultipleChoice,
		    MegatronBertForNextSentencePrediction,
		    MegatronBertForPreTraining,
		    MegatronBertForQuestionAnswering,
		    MegatronBertForSequenceClassification,
		    MegatronBertForTokenClassification,
		    MegatronBertModel,
		    MegatronBertPreTrainedModel,
		)

else:
	import sys

	UpperCamelCase						:				Dict             =      _LazyModule(__name__, globals()["__file__"], _import_structure, module_spec=__spec__)





