"""simple docstring"""




from ...configuration_utils import PretrainedConfig
from ...utils import logging
from ...utils.backbone_utils import BackboneConfigMixin, get_aligned_output_features_output_indices


_a      :		List[Any]           =   logging.get_logger(__name__)

_a      :		Union[str, Any]           =   {
    'google/bit-50': 'https://huggingface.co/google/bit-50/resolve/main/config.json',
}
class 						__A							( SCREAMING_SNAKE_CASE_    ,	SCREAMING_SNAKE_CASE_		):
     _UpperCamelCase							:			Tuple							=		"bit"
     _UpperCamelCase							:			Union[str, Any]							=		["preactivation", "bottleneck"]
     _UpperCamelCase							:			Dict							=		["SAME", "VALID"]






     def __init__(		self				,     a__=3				,     a__=64				,     a__=[256, 512, 1024, 2048]				,     a__=[3, 4, 6, 3]				,     a__="preactivation"				,     a__="relu"				,     a__=None				,     a__=32				,     a__=0.0				,     a__=False				,     a__=32				,     a__=1				,     a__=None				,     a__=None				,     **a__				,     ):
       super().__init__(**a__  )
       if layer_type not in self.layer_types:
         raise ValueError(F"layer_type={layer_type} is not one of {','.join(self.layer_types  )}"  )
       if global_padding is not None:
         if global_padding.upper() in self.supported_padding:
           _lowerCAmelCase						:       List[str]  			=     global_padding.upper()
         else:
           raise ValueError(F"Padding strategy {global_padding} not supported"  )
       _lowerCAmelCase						:       Dict  			=     num_channels
       _lowerCAmelCase						:       List[str]  			=     embedding_size
       _lowerCAmelCase						:       Optional[Any]  			=     hidden_sizes
       _lowerCAmelCase						:       List[str]  			=     depths
       _lowerCAmelCase						:       Any  			=     layer_type
       _lowerCAmelCase						:       Optional[Any]  			=     hidden_act
       _lowerCAmelCase						:       List[Any]  			=     global_padding
       _lowerCAmelCase						:       Optional[Any]  			=     num_groups
       _lowerCAmelCase						:       Tuple  			=     drop_path_rate
       _lowerCAmelCase						:       Any  			=     embedding_dynamic_padding
       _lowerCAmelCase						:       Optional[Any]  			=     output_stride
       _lowerCAmelCase						:       List[Any]  			=     width_factor

       _lowerCAmelCase						:       Any  			=     ["""stem"""] + [F"stage{idx}" for idx in range(1				,     len(a__  ) + 1  )]
       _lowerCAmelCase			,	_lowerCAmelCase						:       int  			=     get_aligned_output_features_output_indices(
           out_features=a__				,     out_indices=a__				,     stage_names=self.stage_names  )





"""simple docstring"""




def 							SCREAMING_SNAKE_CASE     (			_lowerCamelCase						:       int = 50	)       ->      int:
  _lowerCAmelCase						:       int  			=     [1] * (length + 1)

  for row_length in range(3			,length + 1	):
    for block_length in range(3			,row_length + 1	):
      for block_start in range(row_length - block_length	):
        ways_number[row_length] += ways_number[
            row_length - block_start - block_length - 1
        ]

      ways_number[row_length] += 1

  return ways_number[length]


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




