





from __future__ import annotations

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

_a 						=      TypeVar("T")






class 					__A    (    Generic[T] ):

			'''simple docstring'''







			def __init__(    self       ,  __lowerCAmelCase       ,  __lowerCAmelCase							):



				'''simple docstring'''







				lowerCamelCase__								=		None

				lowerCamelCase__								=		len(__lowerCAmelCase							)
				lowerCamelCase__								=		[any_type for _ in range(self.N							)] + arr
				lowerCamelCase__								=		fnc
				self.build()





			def 		__lowerCamelCase				(    self							):



				'''simple docstring'''







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





			def 		__lowerCamelCase				(    self       ,  __lowerCAmelCase       ,  __lowerCAmelCase							):



				'''simple docstring'''







				p += self.N
				lowerCamelCase__								=		v
				while p > 1:
					lowerCamelCase__								=		p // 2
					lowerCamelCase__								=		self.fn(self.st[p * 2]       ,  self.st[p * 2 + 1]							)





			def 		__lowerCamelCase				(    self       ,  __lowerCAmelCase       ,  __lowerCAmelCase							):  # noqa: E741



				'''simple docstring'''







				lowerCamelCase__				,	lowerCamelCase__								=		l + self.N, r + self.N

				lowerCamelCase__								=		None
				while l <= r:
					if l % 2 == 1:
						lowerCamelCase__								=		self.st[l] if res is None else self.fn(__lowerCAmelCase       ,  self.st[l]							)
					if r % 2 == 0:
						lowerCamelCase__								=		self.st[r] if res is None else self.fn(__lowerCAmelCase       ,  self.st[r]							)
					lowerCamelCase__				,	lowerCamelCase__								=		(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 lowerCAmelCase__()				->      None:







				'''simple docstring'''







				for i in range(len(__snake_case							)							):
					for j in range(__snake_case       ,len(__snake_case							)							):
						lowerCamelCase__								=		reduce(__snake_case       ,test_array[i : j + 1]							)
						lowerCamelCase__								=		reduce(__snake_case       ,test_array[i : j + 1]							)
						lowerCamelCase__								=		reduce(lambda __snake_case       ,__snake_case							: a + b       ,test_array[i : j + 1]							)
						assert min_range == min_segment_tree.query(__snake_case       ,__snake_case							)
						assert max_range == max_segment_tree.query(__snake_case       ,__snake_case							)
						assert sum_range == sum_segment_tree.query(__snake_case       ,__snake_case							)

			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()










import numpy as np

from transformers import Pipeline





def lowerCAmelCase__(__snake_case							)				->      Tuple:







	'''simple docstring'''







	lowerCamelCase__								=		np.max(__snake_case       ,axis=-1       ,keepdims=__snake_case							)
	lowerCamelCase__								=		np.exp(outputs - maxes							)
	return shifted_exp / shifted_exp.sum(axis=-1       ,keepdims=__snake_case							)






class 					__A    (    lowerCAmelCase ):

			'''simple docstring'''







			def 		__lowerCamelCase				(    self       ,  **__lowerCAmelCase							):



				'''simple docstring'''







				lowerCamelCase__								=		{}
				if "second_text" in kwargs:
					lowerCamelCase__								=		kwargs['''second_text''']
				return preprocess_kwargs, {}, {}





			def 		__lowerCamelCase				(    self       ,  __lowerCAmelCase       ,  __lowerCAmelCase=None							):



				'''simple docstring'''







				return self.tokenizer(__lowerCAmelCase       ,  text_pair=__lowerCAmelCase       ,  return_tensors=self.framework							)





			def 		__lowerCamelCase				(    self       ,  __lowerCAmelCase							):



				'''simple docstring'''







				return self.model(**__lowerCAmelCase							)





			def 		__lowerCamelCase				(    self       ,  __lowerCAmelCase							):



				'''simple docstring'''







				lowerCamelCase__								=		model_outputs.logits[0].numpy()
				lowerCamelCase__								=		softmax(__lowerCAmelCase							)

				lowerCamelCase__								=		np.argmax(__lowerCAmelCase							)
				lowerCamelCase__								=		self.model.config.idalabel[best_class]
				lowerCamelCase__								=		probabilities[best_class].item()
				lowerCamelCase__								=		logits.tolist()
				return {"label": label, "score": score, "logits": logits}



