






"""simple docstring"""






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


A_			  =    logging.get_logger(__name__)

A_			  =    {
    "facebook/regnet-y-040": "https://huggingface.co/facebook/regnet-y-040/blob/main/config.json",
}
class 						__lowerCAmelCase   (			UpperCAmelCase       ):







  '''simple docstring'''


  __lowerCamelCase       :    Optional[Any]     	=			"regnet"
  __lowerCamelCase       :    Tuple     	=			["x", "y"]
  def __init__(      self:		Optional[int]				,			UpperCamelCase_:		Union[str, Any]=3				,			UpperCamelCase_:		Union[str, Any]=32				,			UpperCamelCase_:		Optional[Any]=[128, 192, 512, 1088]				,			UpperCamelCase_:		Any=[2, 6, 12, 2]				,			UpperCamelCase_:		Dict=64				,			UpperCamelCase_:		Union[str, Any]="y"				,			UpperCamelCase_:		Optional[Any]="relu"				,			**UpperCamelCase_:		str				,			):
     super().__init__(**UpperCamelCase_					)
     if layer_type not in self.layer_types:
        raise ValueError(f"""layer_type={layer_type} is not one of {",".join(self.layer_types					)}"""					)
     UpperCamelCase_     =num_channels
     UpperCamelCase_     =embedding_size
     UpperCamelCase_     =hidden_sizes
     UpperCamelCase_     =depths
     UpperCamelCase_     =groups_width
     UpperCamelCase_     =layer_type
     UpperCamelCase_     =hidden_act
     # always downsample in the first stage
     UpperCamelCase_     =True








"""simple docstring"""






from collections import defaultdict




def 						_UpperCamelCase			(  A = 5			):
   UpperCamelCase_     =defaultdict(A			)
   UpperCamelCase_     =0

   while True:
      UpperCamelCase_     =get_digits(A			)
      freqs[digits].append(A			)

      if len(freqs[digits]			) == max_base:
         UpperCamelCase_     =freqs[digits][0] ** 3
         return base

      num += 1




def 						_UpperCamelCase			(  A			):
   return "".join(sorted(str(num**3			)			)			)


if __name__ == "__main__":
    print(f'''{solution() = }''')
