

from __future__ import annotations

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

A_       : str         =			TypeVar('T')



class     _a						(Generic[T]				):


					'''simple docstring'''






					def __init__( self    ,       A__    ,       A__			):
						A__							:    Any | T        =		None

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






					def   __A			( self			):
						for p in range(self.N - 1    ,       0    ,       -1			):
							A__							:    int        =		self.fn(self.st[p * 2]    ,       self.st[p * 2 + 1]			)






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






					def   __A			( self    ,       A__    ,       A__			):  # noqa: E741
						A__   ,   A__							:    Union[str, Any]        =		l + self.N, r + self.N

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


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

	A_       : Union[str, Any]         =			[1, 10, -2, 9, -3, 8, 4, -7, 5, 6, 11, -12]

	A_       : List[Any]         =			{
	    0: 7,
	    1: 2,
	    2: 6,
	    3: -14,
	    4: 5,
	    5: 4,
	    6: 7,
	    7: -10,
	    8: 9,
	    9: 10,
	    10: 12,
	    11: 1,
	}

	A_       : Dict         =			SegmentTree(test_array, min)
	A_       : Union[str, Any]         =			SegmentTree(test_array, max)
	A_       : List[str]         =			SegmentTree(test_array, lambda a, b: a + b)

	def 						UpperCamelCase					()     ->      None:
		for i in range(len(lowercase_					)					):
			for j in range(lowercase_    ,      len(lowercase_					)					):
				A__							:    Any        =		reduce(lowercase_    ,      test_array[i : j + 1]					)
				A__							:    Tuple        =		reduce(lowercase_    ,      test_array[i : j + 1]					)
				A__							:    Any        =		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():
		A_       : Optional[int]         =			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_donut import DonutImageProcessor


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



class     _a						(__magic_name__				):


					'''simple docstring'''






					def __init__( self    ,       *A__    ,       **A__			):
						warnings.warn(
						    """The class DonutFeatureExtractor is deprecated and will be removed in version 5 of Transformers. Please"""
						    """ use DonutImageProcessor instead."""    ,       A__    ,       )
						super().__init__(*A__    ,       **A__			)



