




class 							__UpperCamelCase			:





				'''simple docstring'''



				def __init__( self						):
											lowerCAmelCase   =		{}  # Mapping from char to TrieNode
											lowerCAmelCase   =		False



				def       __snake_case		( self       , UpperCAmelCase_						):
											for word in words:
																		self.insert(UpperCAmelCase_						)



				def       __snake_case		( self       , UpperCAmelCase_						):
											lowerCAmelCase   =		self
											for char in word:
																		if char not in curr.nodes:
																									lowerCAmelCase   =		TrieNode()
																		lowerCAmelCase   =		curr.nodes[char]
											lowerCAmelCase   =		True



				def       __snake_case		( self       , UpperCAmelCase_						):
											lowerCAmelCase   =		self
											for char in word:
																		if char not in curr.nodes:
																									return False
																		lowerCAmelCase   =		curr.nodes[char]
											return curr.is_leaf






				def       __snake_case		( self       , UpperCAmelCase_						):

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

											_delete(self       , UpperCAmelCase_       , 0						)




def       UpperCAmelCase       (     _snake_case						, _snake_case							):
							if node.is_leaf:
														print(_snake_case						, end=''' '''							)

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



def       UpperCAmelCase       (     ):
							lowerCAmelCase   =		'''banana bananas bandana band apple all beast'''.split()
							lowerCAmelCase   =		TrieNode()
							root.insert_many(_snake_case							)
							# print_words(root, "")
							assert all(root.find(_snake_case							) 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       UpperCAmelCase       (     _snake_case						, _snake_case							):
							print(str(_snake_case							)						, '''works!''' if passes else '''doesn\'t work :('''							)



def       UpperCAmelCase       (     ):
							assert test_trie()



def       UpperCAmelCase       (     ):
							print_results('''Testing trie functionality'''						, test_trie()							)


if __name__ == "__main__":
		main()









from typing import TYPE_CHECKING

from ...utils import (
    OptionalDependencyNotAvailable,
    _LazyModule,
    is_tf_available,
    is_torch_available,
    is_vision_available,
)


UpperCAmelCase_						={
    """configuration_efficientformer""": [
        """EFFICIENTFORMER_PRETRAINED_CONFIG_ARCHIVE_MAP""",
        """EfficientFormerConfig""",
    ]
}

try:
		if not is_vision_available():
				raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
		pass
else:
		UpperCAmelCase_						=["""EfficientFormerImageProcessor"""]

try:
		if not is_torch_available():
				raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
		pass
else:
		UpperCAmelCase_						=[
		    """EFFICIENTFORMER_PRETRAINED_MODEL_ARCHIVE_LIST""",
		    """EfficientFormerForImageClassification""",
		    """EfficientFormerForImageClassificationWithTeacher""",
		    """EfficientFormerModel""",
		    """EfficientFormerPreTrainedModel""",
		]

try:
		if not is_tf_available():
				raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
		pass
else:
		UpperCAmelCase_						=[
		    """TF_EFFICIENTFORMER_PRETRAINED_MODEL_ARCHIVE_LIST""",
		    """TFEfficientFormerForImageClassification""",
		    """TFEfficientFormerForImageClassificationWithTeacher""",
		    """TFEfficientFormerModel""",
		    """TFEfficientFormerPreTrainedModel""",
		]

if TYPE_CHECKING:
		from .configuration_efficientformer import EFFICIENTFORMER_PRETRAINED_CONFIG_ARCHIVE_MAP, EfficientFormerConfig

		try:
				if not is_vision_available():
						raise OptionalDependencyNotAvailable()
		except OptionalDependencyNotAvailable:
				pass
		else:
				from .image_processing_efficientformer import EfficientFormerImageProcessor

		try:
				if not is_torch_available():
						raise OptionalDependencyNotAvailable()
		except OptionalDependencyNotAvailable:
				pass
		else:
				from .modeling_efficientformer import (
				    EFFICIENTFORMER_PRETRAINED_MODEL_ARCHIVE_LIST,
				    EfficientFormerForImageClassification,
				    EfficientFormerForImageClassificationWithTeacher,
				    EfficientFormerModel,
				    EfficientFormerPreTrainedModel,
				)
		try:
				if not is_tf_available():
						raise OptionalDependencyNotAvailable()
		except OptionalDependencyNotAvailable:
				pass
		else:
				from .modeling_tf_efficientformer import (
				    TF_EFFICIENTFORMER_PRETRAINED_MODEL_ARCHIVE_LIST,
				    TFEfficientFormerForImageClassification,
				    TFEfficientFormerForImageClassificationWithTeacher,
				    TFEfficientFormerModel,
				    TFEfficientFormerPreTrainedModel,
				)

else:
		import sys

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



