code: 
  
  
  
  
  """simple docstring"""
  
  class 			lowerCamelCase__    :
  
  
  			def __init__(     self							):
  
  
  
  					"""simple docstring"""
  
  
  
  
  
  
  
  					snake_case		:						Dict								=				[0]
  					snake_case		:						List[str]								=				0
  
  
  			def 							lowerCamelCase_				(     self				, SCREAMING_SNAKE_CASE							):
  
  
  
  					"""simple docstring"""
  
  
  
  
  
  
  
  					snake_case		:						List[str]								=				self.__heap[i]
  					while i // 2 > 0:
  							if self.__heap[i] > self.__heap[i // 2]:
  									snake_case		:						Optional[Any]								=				self.__heap[i // 2]
  									snake_case		:						int								=				temporary
  							i //= 2
  
  
  			def 							lowerCamelCase_				(     self				, SCREAMING_SNAKE_CASE							):
  
  
  
  					"""simple docstring"""
  
  
  
  
  
  
  
  					self.__heap.append(SCREAMING_SNAKE_CASE							)
  					self.__size += 1
  					self.__swap_up(self.__size							)
  
  
  			def 							lowerCamelCase_				(     self				, SCREAMING_SNAKE_CASE							):
  
  
  
  					"""simple docstring"""
  
  
  
  
  
  
  
  					while self.__size >= 2 * i:
  							if 2 * i + 1 > self.__size:
  									snake_case		:						Any								=				2 * i
  							else:
  									if self.__heap[2 * i] > self.__heap[2 * i + 1]:
  											snake_case		:						Optional[int]								=				2 * i
  									else:
  											snake_case		:						str								=				2 * i + 1
  							snake_case		:						Dict								=				self.__heap[i]
  							if self.__heap[i] < self.__heap[bigger_child]:
  									snake_case		:						int								=				self.__heap[bigger_child]
  									snake_case		:						Union[str, Any]								=				temporary
  							snake_case		:						Any								=				bigger_child
  
  
  			def 							lowerCamelCase_				(     self							):
  
  
  
  					"""simple docstring"""
  
  
  
  
  
  
  
  					snake_case		:						List[Any]								=				self.__heap[1]
  					snake_case		:						List[str]								=				self.__heap[self.__size]
  					self.__size -= 1
  					self.__heap.pop()
  					self.__swap_down(1							)
  					return max_value
  
  
  			@property
  			def 							lowerCamelCase_				(     self							):
  
  
  
  					"""simple docstring"""
  
  
  
  
  
  
  
  					return self.__heap[1:]
  
  
  
  			def __len__(     self							):
  
  
  
  					"""simple docstring"""
  
  
  
  
  
  
  
  					return self.__size
  
  
  if __name__ == "__main__":
  							import doctest
  
  							doctest.testmod()
  							# create an instance of BinaryHeap
  							__A 		=			BinaryHeap()
  							binary_heap.insert(6)
  							binary_heap.insert(10)
  							binary_heap.insert(15)
  							binary_heap.insert(12)
  							# pop root(max-values because it is max heap)
  							print(binary_heap.pop())  # 15
  							print(binary_heap.pop())  # 12
  							# get the list and size after operations
  							print(binary_heap.get_list)
  							print(len(binary_heap))
  
  
style_context: 
  
  
  
  
  """simple docstring"""
  
  from ...processing_utils import ProcessorMixin
  from ...tokenization_utils_base import BatchEncoding
  class 			lowerCamelCase__    (  lowerCamelCase_			):
  			a__ :      Tuple								=     ["""image_processor""", """tokenizer"""]
  			a__ :      List[Any]								=     """EfficientNetImageProcessor"""
  			a__ :      str								=     ("""BertTokenizer""", """BertTokenizerFast""")
  
  
  			def __init__(     self				, SCREAMING_SNAKE_CASE				, SCREAMING_SNAKE_CASE							):
  
  
  
  					"""simple docstring"""
  
  
  
  
  
  
  
  					super().__init__(SCREAMING_SNAKE_CASE				, SCREAMING_SNAKE_CASE							)
  
  
  			def __call__(     self				, SCREAMING_SNAKE_CASE=None				, SCREAMING_SNAKE_CASE=None				, SCREAMING_SNAKE_CASE="max_length"				, SCREAMING_SNAKE_CASE=64				, SCREAMING_SNAKE_CASE=None				, **SCREAMING_SNAKE_CASE							):
  
  
  
  					"""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		:						Dict								=				self.tokenizer(
  							    SCREAMING_SNAKE_CASE				, padding=SCREAMING_SNAKE_CASE				, max_length=SCREAMING_SNAKE_CASE				, return_tensors=SCREAMING_SNAKE_CASE				, **SCREAMING_SNAKE_CASE							)
  
  					if images is not None:
  							snake_case		:						Tuple								=				self.image_processor(SCREAMING_SNAKE_CASE				, return_tensors=SCREAMING_SNAKE_CASE				, **SCREAMING_SNAKE_CASE							)
  
  					if text is not None and images is not None:
  							snake_case		:						Dict								=				image_features.pixel_values
  							return encoding
  					elif text is not None:
  							return encoding
  					else:
  							return BatchEncoding(data=dict(**SCREAMING_SNAKE_CASE							)				, tensor_type=SCREAMING_SNAKE_CASE							)
  
  
  			def 							lowerCamelCase_				(     self				, *SCREAMING_SNAKE_CASE				, **SCREAMING_SNAKE_CASE							):
  
  
  
  					"""simple docstring"""
  
  
  
  
  
  
  
  					return self.tokenizer.batch_decode(*SCREAMING_SNAKE_CASE				, **SCREAMING_SNAKE_CASE							)
  
  
  			def 							lowerCamelCase_				(     self				, *SCREAMING_SNAKE_CASE				, **SCREAMING_SNAKE_CASE							):
  
  
  
  					"""simple docstring"""
  
  
  
  
  
  
  
  					return self.tokenizer.decode(*SCREAMING_SNAKE_CASE				, **SCREAMING_SNAKE_CASE							)
  
  
  
  			@property
  			def 							lowerCamelCase_				(     self							):
  
  
  
  					"""simple docstring"""
  
  
  
  
  
  
  
  					snake_case		:						Optional[Any]								=				self.tokenizer.model_input_names
  					snake_case		:						Any								=				self.image_processor.model_input_names
  					return list(dict.fromkeys(tokenizer_input_names + image_processor_input_names							)							)
  
  