


'''simple docstring'''
class   lowercase      :

		"""simple docstring"""

		def __init__(						self				):

							'''simple docstring'''


							UpperCamelCase__  :dict[str, TrieNode]				   =					{}  # Mapping from char to TrieNode
							UpperCamelCase__  :Any				   =					False




		def        lowerCAmelCase__							(						self       ,  UpperCamelCase_				):

							'''simple docstring'''


							for word in words:
												self.insert(UpperCamelCase_				)




		def        lowerCAmelCase__							(						self       ,  UpperCamelCase_				):

							'''simple docstring'''


							UpperCamelCase__  :Dict				   =					self
							for char in word:
												if char not in curr.nodes:
																	UpperCamelCase__  :Optional[int]				   =					TrieNode()
												UpperCamelCase__  :List[str]				   =					curr.nodes[char]
							UpperCamelCase__  :Union[str, Any]				   =					True




		def        lowerCAmelCase__							(						self       ,  UpperCamelCase_				):

							'''simple docstring'''


							UpperCamelCase__  :Union[str, Any]				   =					self
							for char in word:
												if char not in curr.nodes:
																	return False
												UpperCamelCase__  :int				   =					curr.nodes[char]
							return curr.is_leaf




		def        lowerCAmelCase__							(						self       ,  UpperCamelCase_				):

							'''simple docstring'''


							def _delete(UpperCamelCase_       ,  UpperCamelCase_       ,  UpperCamelCase_				) -> bool:
												if index == len(UpperCamelCase_				):
																	# If word does not exist
																	if not curr.is_leaf:
																						return False
																	UpperCamelCase__  :str				   =					False
																	return len(curr.nodes				) == 0
												UpperCamelCase__  :Dict				   =					word[index]
												UpperCamelCase__  :int				   =					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
												UpperCamelCase__  :Dict				   =					_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      a (     __a					,   __a  )    ->      None:



					'''simple docstring'''






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

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


def      a (     )    ->      bool:



					'''simple docstring'''






					UpperCamelCase__  :Union[str, Any]				   =					'''banana bananas bandana band apple all beast'''.split()
					UpperCamelCase__  :List[Any]				   =					TrieNode()
					root.insert_many(__a  )
					# print_words(root, "")
					assert all(root.find(__a  ) 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 (     __a					,   __a  )    ->      None:



					'''simple docstring'''






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


def      a (     )    ->      None:



					'''simple docstring'''






					assert test_trie()


def      a (     )    ->      None:



					'''simple docstring'''






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


if __name__ == "__main__":
		main()



'''simple docstring'''
import warnings

from ...processing_utils import ProcessorMixin
from ...tokenization_utils_base import BatchEncoding
class   lowercase      (				A__   ):

		"""simple docstring"""

		_a       					=							['image_processor', 'tokenizer']
		_a       					=							'ChineseCLIPImageProcessor'
		_a       					=							('BertTokenizer', 'BertTokenizerFast')




		def __init__(						self       ,  UpperCamelCase_=None       ,  UpperCamelCase_=None       ,  **UpperCamelCase_				):

							'''simple docstring'''


							UpperCamelCase__  :List[Any]				   =					None
							if "feature_extractor" in kwargs:
												warnings.warn(
												    '''The `feature_extractor` argument is deprecated and will be removed in v5, use `image_processor`'''
												    ''' instead.'''       ,  UpperCamelCase_       ,  )
												UpperCamelCase__  :List[Any]				   =					kwargs.pop('''feature_extractor'''				)

							UpperCamelCase__  :List[str]				   =					image_processor if image_processor is not None else feature_extractor
							if image_processor is None:
												raise ValueError('''You need to specify an `image_processor`.'''				)
							if tokenizer is None:
												raise ValueError('''You need to specify a `tokenizer`.'''				)

							super().__init__(UpperCamelCase_       ,  UpperCamelCase_				)
							UpperCamelCase__  :Any				   =					self.image_processor




		def __call__(						self       ,  UpperCamelCase_=None       ,  UpperCamelCase_=None       ,  UpperCamelCase_=None       ,  **UpperCamelCase_				):

							'''simple docstring'''


							if text is None and images is None:
												raise ValueError('''You have to specify either text or images. Both cannot be none.'''				)

							if text is not None:
												UpperCamelCase__  :Tuple				   =					self.tokenizer(UpperCamelCase_       ,  return_tensors=UpperCamelCase_       ,  **UpperCamelCase_				)

							if images is not None:
												UpperCamelCase__  :Any				   =					self.image_processor(UpperCamelCase_       ,  return_tensors=UpperCamelCase_       ,  **UpperCamelCase_				)

							if text is not None and images is not None:
												UpperCamelCase__  :Optional[int]				   =					image_features.pixel_values
												return encoding
							elif text is not None:
												return encoding
							else:
												return BatchEncoding(data=dict(**UpperCamelCase_				)       ,  tensor_type=UpperCamelCase_				)




		def        lowerCAmelCase__							(						self       ,  *UpperCamelCase_       ,  **UpperCamelCase_				):

							'''simple docstring'''


							return self.tokenizer.batch_decode(*UpperCamelCase_       ,  **UpperCamelCase_				)




		def        lowerCAmelCase__							(						self       ,  *UpperCamelCase_       ,  **UpperCamelCase_				):

							'''simple docstring'''


							return self.tokenizer.decode(*UpperCamelCase_       ,  **UpperCamelCase_				)




		@property
		def        lowerCAmelCase__							(						self				):

							'''simple docstring'''


							UpperCamelCase__  :int				   =					self.tokenizer.model_input_names
							UpperCamelCase__  :Any				   =					self.image_processor.model_input_names
							return list(dict.fromkeys(tokenizer_input_names + image_processor_input_names				)				)




		@property
		def        lowerCAmelCase__							(						self				):

							'''simple docstring'''


							warnings.warn(
							    '''`feature_extractor_class` is deprecated and will be removed in v5. Use `image_processor_class` instead.'''       ,  UpperCamelCase_       ,  )
							return self.image_processor_class