
"""simple docstring"""

class __lowerCAmelCase	:





     def __init__(			self			,  __UpperCAmelCase			,  __UpperCAmelCase			,  __UpperCAmelCase   ):

      '''simple docstring'''




      __UpperCamelCase       						= name
      __UpperCamelCase       						= value
      __UpperCamelCase       						= weight





     def __repr__(			self   ):

      '''simple docstring'''




      return F'{self.__class__.__name__}({self.name}, {self.value}, {self.weight})'





     def 		UpperCAmelCase      (			self   ):

      '''simple docstring'''




      return self.value





     def 		UpperCAmelCase      (			self   ):

      '''simple docstring'''




      return self.name





     def 		UpperCAmelCase      (			self   ):

      '''simple docstring'''




      return self.weight







     def 		UpperCAmelCase      (			self   ):

      '''simple docstring'''




      return self.value / self.weight






def 							A		(       snake_case   :int       ,      snake_case   :List[Any]       ,      snake_case   :str	)   ->			int:
 __UpperCamelCase       						= []
 for i in range(len(snake_case	)	):
  menu.append(Things(name[i]       ,      value[i]       ,      weight[i]	)	)
 return menu






def 							A		(       snake_case   :int       ,      snake_case   :Dict       ,      snake_case   :Union[str, Any]	)   ->			List[Any]:
 __UpperCamelCase       						= sorted(snake_case       ,      key=snake_case       ,      reverse=snake_case	)
 __UpperCamelCase       						= []
 __UpperCamelCase						,			__UpperCamelCase       						= 0.0, 0.0
 for i in range(len(snake_case	)	):
  if (total_cost + items_copy[i].get_weight()) <= max_cost:
   result.append(items_copy[i]	)
   total_cost += items_copy[i].get_weight()
   total_value += items_copy[i].get_value()
 return (result, total_value)






def 							A		(       )   ->			List[str]:
 pass


if __name__ == "__main__":
      import doctest

      doctest.testmod()





"""simple docstring"""

from typing import List

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


UpperCamelCase			:       Tuple									=				logging.get_logger(__name__)

UpperCamelCase			:       List[str]									=				{
    "snap-research/efficientformer-l1-300": (
        "https://huggingface.co/snap-research/efficientformer-l1-300/resolve/main/config.json"
    ),
}

class __lowerCAmelCase	(   __SCREAMING_SNAKE_CASE    ):
     lowercase		     =		"efficientformer"





     def __init__(			self			,  __UpperCAmelCase = [3, 2, 6, 4]			,  __UpperCAmelCase = [48, 96, 224, 448]			,  __UpperCAmelCase = [True, True, True, True]			,  __UpperCAmelCase = 448			,  __UpperCAmelCase = 32			,  __UpperCAmelCase = 4			,  __UpperCAmelCase = 7			,  __UpperCAmelCase = 5			,  __UpperCAmelCase = 8			,  __UpperCAmelCase = 4			,  __UpperCAmelCase = 0.0			,  __UpperCAmelCase = 16			,  __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 = 0.0_2			,  __UpperCAmelCase = 1E-12			,  __UpperCAmelCase = 224			,  __UpperCAmelCase = 1E-05			,  **__UpperCAmelCase			,  ):

      '''simple docstring'''




      super().__init__(**__UpperCAmelCase   )

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



