
'''simple docstring'''







import warnings

from ...processing_utils import ProcessorMixin
from ...tokenization_utils_base import BatchEncoding


class 						__UpperCAmelCase      (					_lowerCamelCase						):
							__lowercase      		=       ["""image_processor""", """tokenizer"""]
							__lowercase      		=       """ChineseCLIPImageProcessor"""
							__lowercase      		=       ("""BertTokenizer""", """BertTokenizerFast""")


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





								"""simple docstring"""






								_snake_case   						=		None
								if "feature_extractor" in kwargs:
									warnings.warn(
									    'The `feature_extractor` argument is deprecated and will be removed in v5, use `image_processor`'
									    ' instead.'    ,   lowerCAmelCase_    ,   )
									_snake_case   						=		kwargs.pop('feature_extractor'  )

								_snake_case   						=		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__(lowerCAmelCase_    ,   lowerCAmelCase_  )
								_snake_case   						=		self.image_processor


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





								"""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:
									_snake_case   						=		self.tokenizer(lowerCAmelCase_    ,   return_tensors=lowerCAmelCase_    ,   **lowerCAmelCase_  )

								if images is not None:
									_snake_case   						=		self.image_processor(lowerCAmelCase_    ,   return_tensors=lowerCAmelCase_    ,   **lowerCAmelCase_  )

								if text is not None and images is not None:
									_snake_case   						=		image_features.pixel_values
									return encoding
								elif text is not None:
									return encoding
								else:
									return BatchEncoding(data=dict(**lowerCAmelCase_  )    ,   tensor_type=lowerCAmelCase_  )


							def  lowerCamelCase				(       self    ,   *lowerCAmelCase_    ,   **lowerCAmelCase_  ):





								"""simple docstring"""






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


							def  lowerCamelCase				(       self    ,   *lowerCAmelCase_    ,   **lowerCAmelCase_  ):





								"""simple docstring"""






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


							@property
							def  lowerCamelCase				(       self  ):





								"""simple docstring"""






								_snake_case   						=		self.tokenizer.model_input_names
								_snake_case   						=		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.'    ,   lowerCAmelCase_    ,   )
								return self.image_processor_class









'''simple docstring'''







class _lowercase	:




							def __init__(							self:				Optional[Any]     ):
														lowerCamelCase__					:	dict[str, TrieNode]         =       {}  # Mapping from char to TrieNode
														lowerCamelCase__					:	List[str]         =       False




							def 		lowerCamelCase_				(							self:				str			,							UpperCamelCase__:				list[str]     ):
														for word in words:
																					self.insert(UpperCamelCase__     )




							def 		lowerCamelCase_				(							self:				List[str]			,							UpperCamelCase__:				str     ):
														lowerCamelCase__					:	List[Any]         =       self
														for char in word:
																					if char not in curr.nodes:
																												lowerCamelCase__					:	Tuple         =       TrieNode()
																					lowerCamelCase__					:	List[Any]         =       curr.nodes[char]
														lowerCamelCase__					:	Any         =       True




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




							def 		lowerCamelCase_				(							self:				str			,							UpperCamelCase__:				str     ):

														def _delete(UpperCamelCase__:				TrieNode			,							UpperCamelCase__:				str			,							UpperCamelCase__:				int     ) -> bool:
																					if index == len(UpperCamelCase__     ):
																												# If word does not exist
																												if not curr.is_leaf:
																																			return False
																												lowerCamelCase__					:	str         =       False
																												return len(curr.nodes     ) == 0
																					lowerCamelCase__					:	List[str]         =       word[index]
																					lowerCamelCase__					:	Dict         =       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__					:	List[Any]         =       _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  SCREAMING_SNAKE_CASE_       (UpperCamelCase				,			UpperCamelCase      )      ->       None:
							if node.is_leaf:
														print(UpperCamelCase				,			end=""" """      )

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





def  SCREAMING_SNAKE_CASE_       ()      ->       bool:
							lowerCamelCase__					:	str         =       """banana bananas bandana band apple all beast""".split()
							lowerCamelCase__					:	Union[str, Any]         =       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  SCREAMING_SNAKE_CASE_       (UpperCamelCase				,			UpperCamelCase      )      ->       None:
							print(str(UpperCamelCase      )				,			"""works!""" if passes else """doesn't work :("""      )





def  SCREAMING_SNAKE_CASE_       ()      ->       None:
							assert test_trie()





def  SCREAMING_SNAKE_CASE_       ()      ->       None:
							print_results("""Testing trie functionality"""				,			test_trie()      )


if __name__ == "__main__":
			main()

