




"""simple docstring"""







import math






class  SCREAMING_SNAKE_CASE__   :


						def __init__(							self			:     Any  ,  lowerCAmelCase			:     List[str]   ):
										lowerCAmelCase		=			len(lowerCAmelCase   )
										lowerCAmelCase		=			[0] * (
										    4 * self.N
										)  # approximate the overall size of segment tree with array N
										self.build(1  ,  0  ,  self.N - 1   )


						def 					__lowercase	(							self			:     List[Any]  ,  lowerCAmelCase			:     int   ):
										return idx * 2


						def 					__lowercase	(							self			:     Any  ,  lowerCAmelCase			:     List[str]   ):
										return idx * 2 + 1


						def 					__lowercase	(							self			:     Optional[int]  ,  lowerCAmelCase			:     int  ,  lowerCAmelCase			:     Dict  ,  lowerCAmelCase			:     Dict   ):  # noqa: E741
										if l == r:
														lowerCAmelCase		=			A[l]
										else:
														lowerCAmelCase		=			(l + r) // 2
														self.build(self.left(lowerCAmelCase   )  ,  lowerCAmelCase  ,  lowerCAmelCase   )
														self.build(self.right(lowerCAmelCase   )  ,  mid + 1  ,  lowerCAmelCase   )
														lowerCAmelCase		=			max(self.st[self.left(lowerCAmelCase   )]  ,  self.st[self.right(lowerCAmelCase   )]   )


						def 					__lowercase	(							self			:     Optional[int]  ,  lowerCAmelCase			:     str  ,  lowerCAmelCase			:     Any  ,  lowerCAmelCase			:     Any   ):
										return self.update_recursive(1  ,  0  ,  self.N - 1  ,  a - 1  ,  b - 1  ,  lowerCAmelCase   )


						def 					__lowercase	(							self			:     Dict  ,  lowerCAmelCase			:     int  ,  lowerCAmelCase			:     str  ,  lowerCAmelCase			:     int  ,  lowerCAmelCase			:     Any  ,  lowerCAmelCase			:     int  ,  lowerCAmelCase			:     Optional[Any]   ):  # noqa: E741
										if r < a or l > b:
														return True
										if l == r:
														lowerCAmelCase		=			val
														return True
										lowerCAmelCase		=			(l + r) // 2
										self.update_recursive(self.left(lowerCAmelCase   )  ,  lowerCAmelCase  ,  lowerCAmelCase  ,  lowerCAmelCase  ,  lowerCAmelCase  ,  lowerCAmelCase   )
										self.update_recursive(self.right(lowerCAmelCase   )  ,  mid + 1  ,  lowerCAmelCase  ,  lowerCAmelCase  ,  lowerCAmelCase  ,  lowerCAmelCase   )
										lowerCAmelCase		=			max(self.st[self.left(lowerCAmelCase   )]  ,  self.st[self.right(lowerCAmelCase   )]   )
										return True


						def 					__lowercase	(							self			:     Tuple  ,  lowerCAmelCase			:     Tuple  ,  lowerCAmelCase			:     Optional[int]   ):
										return self.query_recursive(1  ,  0  ,  self.N - 1  ,  a - 1  ,  b - 1   )


						def 					__lowercase	(							self			:     Any  ,  lowerCAmelCase			:     str  ,  lowerCAmelCase			:     str  ,  lowerCAmelCase			:     Optional[int]  ,  lowerCAmelCase			:     Optional[int]  ,  lowerCAmelCase			:     List[Any]   ):  # noqa: E741
										if r < a or l > b:
														return -math.inf
										if l >= a and r <= b:
														return self.st[idx]
										lowerCAmelCase		=			(l + r) // 2
										lowerCAmelCase		=			self.query_recursive(self.left(lowerCAmelCase   )  ,  lowerCAmelCase  ,  lowerCAmelCase  ,  lowerCAmelCase  ,  lowerCAmelCase   )
										lowerCAmelCase		=			self.query_recursive(self.right(lowerCAmelCase   )  ,  mid + 1  ,  lowerCAmelCase  ,  lowerCAmelCase  ,  lowerCAmelCase   )
										return max(lowerCAmelCase  ,  lowerCAmelCase   )




						def 					__lowercase	(							self			:     Any   ):
										lowerCAmelCase		=			[]
										for i in range(1  ,  N + 1   ):
														show_list += [self.query(lowerCAmelCase  ,  lowerCAmelCase   )]
										print(lowerCAmelCase   )


if __name__ == "__main__":
		a								=							[1, 2, -4, 7, 3, -5, 6, 1_1, -2_0, 9, 1_4, 1_5, 5, 2, -8]
		a								=							1_5
		a								=							SegmentTree(A)
		print(segt.query(4, 6))
		print(segt.query(7, 1_1))
		print(segt.query(7, 1_2))
		segt.update(1, 3, 1_1_1)
		print(segt.query(1, 1_5))
		segt.update(7, 8, 2_3_5)
		segt.show_data()






"""simple docstring"""







import warnings

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






class  SCREAMING_SNAKE_CASE__   (   _a   ):
						_a        =  ['image_processor', 'tokenizer']
						_a        =  'VideoMAEImageProcessor'
						_a        =  ('CLIPTokenizer', 'CLIPTokenizerFast')


						def __init__(							self			:     Union[str, Any]  ,  lowerCAmelCase			:     Optional[Any]=None  ,  lowerCAmelCase			:     Tuple=None  ,  **lowerCAmelCase			:     List[str]   ):
										lowerCAmelCase		=			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  ,  )
														lowerCAmelCase		=			kwargs.pop("""feature_extractor"""   )

										lowerCAmelCase		=			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   )
										lowerCAmelCase		=			self.image_processor


						def __call__(							self			:     Union[str, Any]  ,  lowerCAmelCase			:     str=None  ,  lowerCAmelCase			:     Tuple=None  ,  lowerCAmelCase			:     int=None  ,  **lowerCAmelCase			:     str   ):

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

										if text is not None:
														lowerCAmelCase		=			self.tokenizer(lowerCAmelCase  ,  return_tensors=lowerCAmelCase  ,  **lowerCAmelCase   )

										if videos is not None:
														lowerCAmelCase		=			self.image_processor(lowerCAmelCase  ,  return_tensors=lowerCAmelCase  ,  **lowerCAmelCase   )

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


						def 					__lowercase	(							self			:     str  ,  *lowerCAmelCase			:     List[str]  ,  **lowerCAmelCase			:     int   ):
										return self.tokenizer.batch_decode(*lowerCAmelCase  ,  **lowerCAmelCase   )


						def 					__lowercase	(							self			:     List[str]  ,  *lowerCAmelCase			:     Any  ,  **lowerCAmelCase			:     List[Any]   ):
										return self.tokenizer.decode(*lowerCAmelCase  ,  **lowerCAmelCase   )


						@property
						def 					__lowercase	(							self			:     Dict   ):
										return ["input_ids", "attention_mask", "position_ids", "pixel_values"]


						@property
						def 					__lowercase	(							self			:     List[str]   ):
										warnings.warn(
										    """`feature_extractor_class` is deprecated and will be removed in v5. Use `image_processor_class` instead."""  ,  lowerCAmelCase  ,  )
										return self.image_processor_class




						@property
						def 					__lowercase	(							self			:     Tuple   ):
										warnings.warn(
										    """`feature_extractor` is deprecated and will be removed in v5. Use `image_processor` instead."""  ,  lowerCAmelCase  ,  )
										return self.image_processor





