


from __future__ import annotations

a : Optional[Any]		=				10


def 		lowercase_  (     _UpperCamelCase  ):


			'''simple docstring'''







			__lowercase 					=   1
			__lowercase 					=   max(_UpperCamelCase  )
			while placement <= max_digit:
						# declare and initialize empty buckets
						__lowercase 					=   [[] for _ in range(_UpperCamelCase  )]
						# split list_of_ints between the buckets
						for i in list_of_ints:
									__lowercase 					=   int((i / placement) % RADIX  )
									buckets[tmp].append(_UpperCamelCase  )
						# put each buckets' contents into list_of_ints
						__lowercase 					=   0
						for b in range(_UpperCamelCase  ):
									for i in buckets[b]:
												__lowercase 					=   i
												a += 1
        # move to next
						placement *= RADIX
			return list_of_ints


if __name__ == "__main__":
	import doctest

	doctest.testmod()






from typing import List

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


a : Any		=				logging.get_logger(__name__)

a : int		=				{
    '''snap-research/efficientformer-l1-300''': (
        '''https://huggingface.co/snap-research/efficientformer-l1-300/resolve/main/config.json'''
    ),
}
class 	lowerCamelCase_       (				lowerCAmelCase__				):



					'''simple docstring'''







					__UpperCAmelCase            =				"efficientformer"






					def __init__(				self ,       snake_case_ = [3, 2, 6, 4] ,       snake_case_ = [4_8, 9_6, 2_2_4, 4_4_8] ,       snake_case_ = [True, True, True, True] ,       snake_case_ = 4_4_8 ,       snake_case_ = 3_2 ,       snake_case_ = 4 ,       snake_case_ = 7 ,       snake_case_ = 5 ,       snake_case_ = 8 ,       snake_case_ = 4 ,       snake_case_ = 0.0 ,       snake_case_ = 1_6 ,       snake_case_ = 3 ,       snake_case_ = 3 ,       snake_case_ = 3 ,       snake_case_ = 2 ,       snake_case_ = 1 ,       snake_case_ = 0.0 ,       snake_case_ = 1 ,       snake_case_ = True ,       snake_case_ = True ,       snake_case_ = 1e-5 ,       snake_case_ = "gelu" ,       snake_case_ = 0.0_2 ,       snake_case_ = 1e-1_2 ,       snake_case_ = 2_2_4 ,       snake_case_ = 1e-0_5 ,       **snake_case_ ,       )   ->			None:







								'''simple docstring'''

								super().__init__(**snake_case_						)

								__lowercase 					=   hidden_act
								__lowercase 					=   hidden_dropout_prob
								__lowercase 					=   hidden_sizes
								__lowercase 					=   num_hidden_layers
								__lowercase 					=   num_attention_heads
								__lowercase 					=   initializer_range
								__lowercase 					=   layer_norm_eps
								__lowercase 					=   patch_size
								__lowercase 					=   num_channels
								__lowercase 					=   depths
								__lowercase 					=   mlp_expansion_ratio
								__lowercase 					=   downsamples
								__lowercase 					=   dim
								__lowercase 					=   key_dim
								__lowercase 					=   attention_ratio
								__lowercase 					=   resolution
								__lowercase 					=   pool_size
								__lowercase 					=   downsample_patch_size
								__lowercase 					=   downsample_stride
								__lowercase 					=   downsample_pad
								__lowercase 					=   drop_path_rate
								__lowercase 					=   num_metaad_blocks
								__lowercase 					=   distillation
								__lowercase 					=   use_layer_scale
								__lowercase 					=   layer_scale_init_value
								__lowercase 					=   image_size
								__lowercase 					=   batch_norm_eps


