






from __future__ import annotations

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

__UpperCAmelCase								=						TypeVar('T')



class   lowerCamelCase      (Generic[T]			):







		'''simple docstring'''



		def __init__(							self				,		_UpperCamelCase				,		_UpperCamelCase   )	->							None:
							UpperCAmelCase_    :      Any | T            =						None

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



		def 					__UpperCAmelCase			(							self   )	->							None:
							for p in range(self.N - 1				,		0				,		-1   ):
												UpperCAmelCase_    :      str            =						self.fn(self.st[p * 2]				,		self.st[p * 2 + 1]   )



		def 					__UpperCAmelCase			(							self				,		_UpperCamelCase				,		_UpperCamelCase   )	->							None:
							p += self.N
							UpperCAmelCase_    :      List[str]            =						v
							while p > 1:
												UpperCAmelCase_    :      Optional[Any]            =						p // 2
												UpperCAmelCase_    :      Union[str, Any]            =						self.fn(self.st[p * 2]				,		self.st[p * 2 + 1]   )



		def 					__UpperCAmelCase			(							self				,		_UpperCamelCase				,		_UpperCamelCase   )	->							T | None:  # noqa: E741
							UpperCAmelCase_       ,  UpperCAmelCase_    :      Optional[int]            =						l + self.N, r + self.N

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


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

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

		__UpperCAmelCase								=						{
		    0: 7,
		    1: 2,
		    2: 6,
		    3: -14,
		    4: 5,
		    5: 4,
		    6: 7,
		    7: -10,
		    8: 9,
		    9: 10,
		    10: 12,
		    11: 1,
		}

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




		def      lowercase__      (     ):


							'''simple docstring'''


							for i in range(len(__snake_case  )  ):
												for j in range(__snake_case     ,       len(__snake_case  )  ):
																	UpperCAmelCase_    :      Dict            =						reduce(__snake_case     ,       test_array[i : j + 1]  )
																	UpperCAmelCase_    :      Dict            =						reduce(__snake_case     ,       test_array[i : j + 1]  )
																	UpperCAmelCase_    :      str            =						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():
				__UpperCAmelCase								=						value
				min_segment_tree.update(index, value)
				max_segment_tree.update(index, value)
				sum_segment_tree.update(index, value)
				test_all_segments()














from typing import List

from ...configuration_utils import PretrainedConfig
from ...utils import logging


__UpperCAmelCase								=						logging.get_logger(__name__)

__UpperCAmelCase								=						{
    'snap-research/efficientformer-l1-300': (
        'https://huggingface.co/snap-research/efficientformer-l1-300/resolve/main/config.json'
    ),
}



class   lowerCamelCase      (_snake_case			):







		'''simple docstring'''



		_snake_case    :    Optional[int]       						=  '''efficientformer'''



		def __init__(							self				,		_UpperCamelCase = [3, 2, 6, 4]				,		_UpperCamelCase = [4_8, 9_6, 2_2_4, 4_4_8]				,		_UpperCamelCase = [True, True, True, True]				,		_UpperCamelCase = 4_4_8				,		_UpperCamelCase = 3_2				,		_UpperCamelCase = 4				,		_UpperCamelCase = 7				,		_UpperCamelCase = 5				,		_UpperCamelCase = 8				,		_UpperCamelCase = 4				,		_UpperCamelCase = 0.0				,		_UpperCamelCase = 1_6				,		_UpperCamelCase = 3				,		_UpperCamelCase = 3				,		_UpperCamelCase = 3				,		_UpperCamelCase = 2				,		_UpperCamelCase = 1				,		_UpperCamelCase = 0.0				,		_UpperCamelCase = 1				,		_UpperCamelCase = True				,		_UpperCamelCase = True				,		_UpperCamelCase = 1E-5				,		_UpperCamelCase = "gelu"				,		_UpperCamelCase = 0.02				,		_UpperCamelCase = 1E-12				,		_UpperCamelCase = 2_2_4				,		_UpperCamelCase = 1E-05				,		**_UpperCamelCase				,		)	->							None:
							super().__init__(**_UpperCamelCase   )

							UpperCAmelCase_    :      int            =						hidden_act
							UpperCAmelCase_    :      Union[str, Any]            =						hidden_dropout_prob
							UpperCAmelCase_    :      Tuple            =						hidden_sizes
							UpperCAmelCase_    :      Union[str, Any]            =						num_hidden_layers
							UpperCAmelCase_    :      List[str]            =						num_attention_heads
							UpperCAmelCase_    :      List[Any]            =						initializer_range
							UpperCAmelCase_    :      int            =						layer_norm_eps
							UpperCAmelCase_    :      List[str]            =						patch_size
							UpperCAmelCase_    :      Union[str, Any]            =						num_channels
							UpperCAmelCase_    :      Optional[Any]            =						depths
							UpperCAmelCase_    :      List[Any]            =						mlp_expansion_ratio
							UpperCAmelCase_    :      List[str]            =						downsamples
							UpperCAmelCase_    :      List[Any]            =						dim
							UpperCAmelCase_    :      Tuple            =						key_dim
							UpperCAmelCase_    :      Optional[int]            =						attention_ratio
							UpperCAmelCase_    :      str            =						resolution
							UpperCAmelCase_    :      Dict            =						pool_size
							UpperCAmelCase_    :      Union[str, Any]            =						downsample_patch_size
							UpperCAmelCase_    :      List[str]            =						downsample_stride
							UpperCAmelCase_    :      List[str]            =						downsample_pad
							UpperCAmelCase_    :      Any            =						drop_path_rate
							UpperCAmelCase_    :      Dict            =						num_metaad_blocks
							UpperCAmelCase_    :      Dict            =						distillation
							UpperCAmelCase_    :      int            =						use_layer_scale
							UpperCAmelCase_    :      Any            =						layer_scale_init_value
							UpperCAmelCase_    :      Any            =						image_size
							UpperCAmelCase_    :      Dict            =						batch_norm_eps






