

from __future__ import annotations

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

a		=TypeVar("""T""")






class        A_		(       Generic[T]				):
							def __init__(		self		:			List[str]   ,SCREAMING_SNAKE_CASE__		:			list[T]   ,SCREAMING_SNAKE_CASE__		:			Callable[[T, T], T]):
								__lowerCamelCase				:				Any | T					       = None

								__lowerCamelCase				:				int					       = len(SCREAMING_SNAKE_CASE__)
								__lowerCamelCase				:				list[T]					       = [any_type for _ in range(self.N)] + arr
								__lowerCamelCase				:				Optional[int]					       = fnc
								self.build()
							def     lowerCAmelCase     (		self		:			Dict):
								for p in range(self.N - 1   ,0   ,-1):
									__lowerCamelCase				:				List[str]					       = self.fn(self.st[p * 2]   ,self.st[p * 2 + 1])
							def     lowerCAmelCase     (		self		:			Tuple   ,SCREAMING_SNAKE_CASE__		:			int   ,SCREAMING_SNAKE_CASE__		:			T):
								p += self.N
								__lowerCamelCase				:				Dict					       = v
								while p > 1:
									__lowerCamelCase				:				List[Any]					       = p // 2
									__lowerCamelCase				:				List[Any]					       = self.fn(self.st[p * 2]   ,self.st[p * 2 + 1])


							def     lowerCAmelCase     (		self		:			Union[str, Any]   ,SCREAMING_SNAKE_CASE__		:			int   ,SCREAMING_SNAKE_CASE__		:			int):  # noqa: E741
								__lowerCamelCase       , __lowerCamelCase				:				Dict					       = l + self.N, r + self.N

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


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

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

					a		={
					    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		=SegmentTree(test_array, min)
					a		=SegmentTree(test_array, max)
					a		=SegmentTree(test_array, lambda a, b: a + b)






					def    SCREAMING_SNAKE_CASE__       (  )  ->     None:
						for i in range(len(lowerCamelCase__			)			):
							for j in range(lowerCamelCase__	, len(lowerCamelCase__			)			):
								__lowerCamelCase				:				Any					       = reduce(lowerCamelCase__	, test_array[i : j + 1]			)
								__lowerCamelCase				:				Union[str, Any]					       = reduce(lowerCamelCase__	, test_array[i : j + 1]			)
								__lowerCamelCase				:				Dict					       = reduce(lambda lowerCamelCase__	, lowerCamelCase__			: a + b	, test_array[i : j + 1]			)
								assert min_range == min_segment_tree.query(lowerCamelCase__	, lowerCamelCase__			)
								assert max_range == max_segment_tree.query(lowerCamelCase__	, lowerCamelCase__			)
								assert sum_range == sum_segment_tree.query(lowerCamelCase__	, lowerCamelCase__			)

					test_all_segments()

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








'''simple docstring'''







A__:    Tuple					    =       '''
# Installazione di Transformers
! pip install transformers datasets
# Per installare dalla fonte invece dell\'ultima versione rilasciata, commenta il comando sopra e
# rimuovi la modalità commento al comando seguente.
# ! pip install git+https://github.com/huggingface/transformers.git
'''

A__:    Tuple					    =       [{'''type''': '''code''', '''content''': INSTALL_CONTENT}]
A__:    Any					    =       {
    '''{processor_class}''': '''FakeProcessorClass''',
    '''{model_class}''': '''FakeModelClass''',
    '''{object_class}''': '''FakeObjectClass''',
}


