

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


UpperCamelCase_							=					logging.get_logger(__name__)

UpperCamelCase_							=					{
    """google/bit-50""": """https://huggingface.co/google/bit-50/resolve/main/config.json""",
}





class 		__SCREAMING_SNAKE_CASE       ( lowerCAmelCase__	,       lowerCAmelCase__			):
				lowerCamelCase_							=						"bit"
				lowerCamelCase_							=						["preactivation", "bottleneck"]
				lowerCamelCase_							=						["SAME", "VALID"]







				def __init__(					self    :		int		,				UpperCAmelCase__    :		Dict=3		,				UpperCAmelCase__    :		Tuple=64		,				UpperCAmelCase__    :		List[Any]=[256, 512, 1024, 2048]		,				UpperCAmelCase__    :		Optional[int]=[3, 4, 6, 3]		,				UpperCAmelCase__    :		List[str]="preactivation"		,				UpperCAmelCase__    :		Union[str, Any]="relu"		,				UpperCAmelCase__    :		Optional[Any]=None		,				UpperCAmelCase__    :		Union[str, Any]=32		,				UpperCAmelCase__    :		Tuple=0.0		,				UpperCAmelCase__    :		Optional[Any]=False		,				UpperCAmelCase__    :		List[str]=32		,				UpperCAmelCase__    :		Any=1		,				UpperCAmelCase__    :		Any=None		,				UpperCAmelCase__    :		Dict=None		,				**UpperCAmelCase__    :		List[Any]		,				):
										'''simple docstring'''
										super().__init__(**_lowerCamelCase      )
										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:
																						lowercase   :       int								=global_padding.upper()
																else:
																						raise ValueError(F'''Padding strategy {global_padding} not supported'''      )
										lowercase   :       Any								=num_channels
										lowercase   :       int								=embedding_size
										lowercase   :       str								=hidden_sizes
										lowercase   :       List[str]								=depths
										lowercase   :       Union[str, Any]								=layer_type
										lowercase   :       int								=hidden_act
										lowercase   :       Union[str, Any]								=global_padding
										lowercase   :       Any								=num_groups
										lowercase   :       Any								=drop_path_rate
										lowercase   :       Optional[int]								=embedding_dynamic_padding
										lowercase   :       Tuple								=output_stride
										lowercase   :       int								=width_factor

										lowercase   :       int								=['''stem'''] + [F'''stage{idx}''' for idx in range(1		,				len(_lowerCamelCase      ) + 1      )]
										lowercase		,  lowercase   :       Dict								=get_aligned_output_features_output_indices(
										    out_features=_lowerCamelCase		,				out_indices=_lowerCamelCase		,				stage_names=self.stage_names      )








'''simple docstring'''





def 							_lowerCAmelCase (      __magic_name__	:    int = 1000000	)							->     int:
						lowercase   :       Dict								=set(range(3      ,   __magic_name__      ,   2	)	)
						primes.add(2	)
						for p in range(3      ,   __magic_name__      ,   2	):
												if p not in primes:
																		continue
												primes.difference_update(set(range(p * p      ,   __magic_name__      ,   __magic_name__	)	)	)

						lowercase   :       List[Any]								=[float(__magic_name__	) for n in range(limit + 1	)]

						for p in primes:
												for n in range(__magic_name__      ,   limit + 1      ,   __magic_name__	):
																		phi[n] *= 1 - 1 / p

						return int(sum(phi[2:]	)	)


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





