



from __future__ import annotations

from collections.abc import Callable
from typing import Any, Generic, TypeVar

_lowercase		:				List[Any]      		=TypeVar("T")

class        snake_case__    (Generic[T]		):







						"""simple docstring"""




						def __init__(       self ,       __lowercase ,       __lowercase  ) ->				None:
									"""simple docstring"""




									a__       :						Any | T							=  None

									a__       :						int							=  len(__lowercase  )
									a__       :						list[T]							=  [any_type for _ in range(self.N  )] + arr
									a__       :						Any							=  fnc
									self.build()

						def 							SCREAMING_SNAKE_CASE__(       self  ) ->				None:
									"""simple docstring"""




									for p in range(self.N - 1 ,       0 ,       -1  ):
												a__       :						str							=  self.fn(self.st[p * 2] ,       self.st[p * 2 + 1]  )

						def 							SCREAMING_SNAKE_CASE__(       self ,       __lowercase ,       __lowercase  ) ->				None:
									"""simple docstring"""




									p += self.N
									a__       :						List[str]							=  v
									while p > 1:
												a__       :						Optional[int]							=  p // 2
												a__       :						List[str]							=  self.fn(self.st[p * 2] ,       self.st[p * 2 + 1]  )

						def 							SCREAMING_SNAKE_CASE__(       self ,       __lowercase ,       __lowercase  ) ->				T | None:  # noqa: E741
									"""simple docstring"""




									a__	,						a__       :						int							=  l + self.N, r + self.N

									a__       :						T | None							=  None
									while l <= r:
												if l % 2 == 1:
															a__       :						Dict							=  self.st[l] if res is None else self.fn(__lowercase ,       self.st[l]  )
												if r % 2 == 0:
															a__       :						Any							=  self.st[r] if res is None else self.fn(__lowercase ,       self.st[r]  )
												a__	,						a__       :						Optional[int]							=  (l + 1) // 2, (r - 1) // 2
									return res


if __name__ == "__main__":
		from functools import reduce

		_lowercase		:				int      		=[1, 10, -2, 9, -3, 8, 4, -7, 5, 6, 11, -12]

		_lowercase		:				Optional[int]      		={
		    0: 7,
		    1: 2,
		    2: 6,
		    3: -14,
		    4: 5,
		    5: 4,
		    6: 7,
		    7: -10,
		    8: 9,
		    9: 10,
		    10: 12,
		    11: 1,
		}

		_lowercase		:				Dict      		=SegmentTree(test_array, min)
		_lowercase		:				Tuple      		=SegmentTree(test_array, max)
		_lowercase		:				Optional[int]      		=SegmentTree(test_array, lambda a, b: a + b)

		def      lowerCAmelCase_					(  )							->	None:







					"""simple docstring"""
					for i in range(len(_lowercase)):
								for j in range(_lowercase						,       len(_lowercase)):
											a__       :						Optional[Any]							=  reduce(_lowercase						,       test_array[i : j + 1])
											a__       :						Union[str, Any]							=  reduce(_lowercase						,       test_array[i : j + 1])
											a__       :						Dict							=  reduce(lambda _lowercase						,       _lowercase: a + b						,       test_array[i : j + 1])
											assert min_range == min_segment_tree.query(_lowercase						,       _lowercase)
											assert max_range == max_segment_tree.query(_lowercase						,       _lowercase)
											assert sum_range == sum_segment_tree.query(_lowercase						,       _lowercase)

		test_all_segments()

		for index, value in test_updates.items():
				_lowercase		:				str      		=value
				min_segment_tree.update(index, value)
				max_segment_tree.update(index, value)
				sum_segment_tree.update(index, value)
				test_all_segments()









import warnings

from ...utils import logging
from .image_processing_mobilevit import MobileViTImageProcessor


_lowercase		:				Union[str, Any]      		=logging.get_logger(__name__)

class        snake_case__    (A__		):







						"""simple docstring"""




						def __init__(       self ,       *__lowercase ,       **__lowercase  ) ->				None:
									"""simple docstring"""




									warnings.warn(
									    """The class MobileViTFeatureExtractor is deprecated and will be removed in version 5 of Transformers."""
									    """ Please use MobileViTImageProcessor instead.""" ,       __lowercase ,       )
									super().__init__(*__lowercase ,       **__lowercase  )




