code: 
  
  
  
  
  
  
  from ...configuration_utils import PretrainedConfig
  from ...utils import logging
  
  
  __A  							=  logging.get_logger(__name__)
  
  __A  							=  {
      "MCG-NJU/videomae-base": "https://huggingface.co/MCG-NJU/videomae-base/resolve/main/config.json",
  }
  
  
  
  class 							_A (    UpperCamelCase							):
      """simple docstring"""
  
      lowerCamelCase  :       Optional[int]   =   'videomae'
  
  
  
      def __init__(							self			:    List[Any]   ,    __SCREAMING_SNAKE_CASE			:    Dict=224   ,    __SCREAMING_SNAKE_CASE			:    int=16   ,    __SCREAMING_SNAKE_CASE			:    List[Any]=3   ,    __SCREAMING_SNAKE_CASE			:    Dict=16   ,    __SCREAMING_SNAKE_CASE			:    Dict=2   ,    __SCREAMING_SNAKE_CASE			:    Dict=768   ,    __SCREAMING_SNAKE_CASE			:    List[Any]=12   ,    __SCREAMING_SNAKE_CASE			:    int=12   ,    __SCREAMING_SNAKE_CASE			:    str=3072   ,    __SCREAMING_SNAKE_CASE			:    List[Any]="gelu"   ,    __SCREAMING_SNAKE_CASE			:    Any=0.0   ,    __SCREAMING_SNAKE_CASE			:    str=0.0   ,    __SCREAMING_SNAKE_CASE			:    Any=0.02   ,    __SCREAMING_SNAKE_CASE			:    Any=1e-12   ,    __SCREAMING_SNAKE_CASE			:    List[str]=True   ,    __SCREAMING_SNAKE_CASE			:    Any=True   ,    __SCREAMING_SNAKE_CASE			:    Tuple=6   ,    __SCREAMING_SNAKE_CASE			:    Union[str, Any]=384   ,    __SCREAMING_SNAKE_CASE			:    List[str]=4   ,    __SCREAMING_SNAKE_CASE			:    str=1536   ,    __SCREAMING_SNAKE_CASE			:    Union[str, Any]=True   ,    **__SCREAMING_SNAKE_CASE			:    str   ,    )			->       str:
             super().__init__(**__SCREAMING_SNAKE_CASE			)
  
             __UpperCAmelCase    							=image_size
             __UpperCAmelCase    							=patch_size
             __UpperCAmelCase    							=num_channels
             __UpperCAmelCase    							=num_frames
             __UpperCAmelCase    							=tubelet_size
  
             __UpperCAmelCase    							=hidden_size
             __UpperCAmelCase    							=num_hidden_layers
             __UpperCAmelCase    							=num_attention_heads
             __UpperCAmelCase    							=intermediate_size
             __UpperCAmelCase    							=hidden_act
             __UpperCAmelCase    							=hidden_dropout_prob
             __UpperCAmelCase    							=attention_probs_dropout_prob
             __UpperCAmelCase    							=initializer_range
             __UpperCAmelCase    							=layer_norm_eps
             __UpperCAmelCase    							=qkv_bias
             __UpperCAmelCase    							=use_mean_pooling
  
             __UpperCAmelCase    							=decoder_num_attention_heads
             __UpperCAmelCase    							=decoder_hidden_size
             __UpperCAmelCase    							=decoder_num_hidden_layers
             __UpperCAmelCase    							=decoder_intermediate_size
             __UpperCAmelCase    							=norm_pix_loss
  
  
  
  
  
style_context: 
  
  
  
  
  
  
  from collections import defaultdict
  
  
  
  
  
  
  
  def 			lowercase__  (				A_:	int = 5		)  ->							int:
  
  
  
  
  
  
  
         """simple docstring"""
  
  
  
  
  
  
         __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 			lowercase__  (				A_:	int		)  ->							str:
  
  
  
  
  
  
  
         """simple docstring"""
  
  
  
  
  
  
         return "".join(sorted(str(num**3		)		)		)
  
  
  if __name__ == "__main__":
     print(F"""{solution() = }""")
  
  
  
  
  