





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


UpperCAmelCase		:  List[str]         =	logging.get_logger(__name__)

UpperCAmelCase		:  Tuple         =	{
    '''google/bit-50''': '''https://huggingface.co/google/bit-50/resolve/main/config.json''',
}





class 		_A(   SCREAMING_SNAKE_CASE_							,					SCREAMING_SNAKE_CASE_  ):


				"""simple docstring"""


				UpperCamelCase       :    List[Any]          =      '''bit'''
				UpperCamelCase       :    List[Any]          =      ['''preactivation''', '''bottleneck''']
				UpperCamelCase       :    Union[str, Any]          =      ['''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__(**__snake_case	)
									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:
																			__A      :		List[Any]         =							global_padding.upper()
														else:
																			raise ValueError(F"""Padding strategy {global_padding} not supported"""	)
									__A      :		Optional[int]         =							num_channels
									__A      :		Optional[Any]         =							embedding_size
									__A      :		List[Any]         =							hidden_sizes
									__A      :		Dict         =							depths
									__A      :		Any         =							layer_type
									__A      :		Optional[int]         =							hidden_act
									__A      :		List[Any]         =							global_padding
									__A      :		Optional[int]         =							num_groups
									__A      :		List[Any]         =							drop_path_rate
									__A      :		List[Any]         =							embedding_dynamic_padding
									__A      :		int         =							output_stride
									__A      :		Optional[int]         =							width_factor

									__A      :		Union[str, Any]         =							["""stem"""] + [F"""stage{idx}""" for idx in range(1	,   len(__snake_case	) + 1	)]
									__A      :		Optional[Any]         =							get_aligned_output_features_output_indices(
									    out_features=__snake_case	,   out_indices=__snake_case	,   stage_names=self.stage_names	)












"""simple docstring"""





def   a    (     __UpperCAmelCase      :    int = 1_0_0  )    ->							int:
						__magic_name__:	str							=       0
						__magic_name__:	Any							=       0
						for i in range(1      ,   n + 1  ):
												sum_of_squares += i**2
												sum_of_ints += i
						return sum_of_ints**2 - sum_of_squares


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



