




"""simple docstring"""




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


lowerCAmelCase							:    Optional[int]  							=							logging.get_logger(__name__)

lowerCAmelCase							:    Optional[Any]  							=							{
    "google/bit-50": "https://huggingface.co/google/bit-50/resolve/main/config.json",
}






class 					__magic_name__							( UpperCAmelCase__		,      UpperCAmelCase__       ):






				'''simple docstring'''
				__UpperCamelCase    						=		"bit"
				__UpperCamelCase    						=		["preactivation", "bottleneck"]
				__UpperCamelCase    						=		["SAME", "VALID"]





				def __init__( self	,				_a=3	,				_a=64	,				_a=[256, 512, 1_024, 2_048]	,				_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	,				):





							"""simple docstring"""
							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				)}'				)
							if global_padding is not None:
										if global_padding.upper() in self.supported_padding:
													lowerCamelCase       =      global_padding.upper()
										else:
													raise ValueError(f'Padding strategy {global_padding} not supported'				)
							lowerCamelCase       =      num_channels
							lowerCamelCase       =      embedding_size
							lowerCamelCase       =      hidden_sizes
							lowerCamelCase       =      depths
							lowerCamelCase       =      layer_type
							lowerCamelCase       =      hidden_act
							lowerCamelCase       =      global_padding
							lowerCamelCase       =      num_groups
							lowerCamelCase       =      drop_path_rate
							lowerCamelCase       =      embedding_dynamic_padding
							lowerCamelCase       =      output_stride
							lowerCamelCase       =      width_factor

							lowerCamelCase       =      ["""stem"""] + [f'stage{idx}' for idx in range(1	,				len(__UpperCamelCase				) + 1				)]
							lowerCamelCase   ,     lowerCamelCase       =      get_aligned_output_features_output_indices(
							    out_features=__UpperCamelCase	,				out_indices=__UpperCamelCase	,				stage_names=self.stage_names				)









"""simple docstring"""




from functools import lru_cache



def 					a__				(       snake_case__       )		->      set:
			lowerCamelCase       =      2
			lowerCamelCase       =      set()
			while i * i <= n:
						if n % i:
									i += 1
						else:
									n //= i
									factors.add(snake_case__       )
			if n > 1:
						factors.add(snake_case__       )
			return factors



@lru_cache
def 					a__				(       snake_case__       )		->      int:
			return len(unique_prime_factors(snake_case__       )       )



def 					a__				(       snake_case__       )		->      bool:
			return len(set(snake_case__       )       ) in (0, 1)



def 					a__				(       snake_case__       )		->      list:
			lowerCamelCase       =      2

			while True:
						# Increment each value of a generated range
						lowerCamelCase       =      [base + i for i in range(snake_case__       )]

						# Run elements through out unique_prime_factors function
						# Append our target number to the end.
						lowerCamelCase       =      [upf_len(snake_case__       ) for x in group]
						checker.append(snake_case__       )

						# If all numbers in the list are equal, return the group variable.
						if equality(snake_case__       ):
									return group

						# Increment our base variable by 1
						base += 1



def 					a__				(       snake_case__ = 4       )		->      int:
			lowerCamelCase       =      run(snake_case__       )
			return results[0] if len(snake_case__       ) else None


if __name__ == "__main__":
					print(solution())



