
"""simple docstring"""

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


_A						=			logging.get_logger(__name__)

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






class 	_lowercase       (    __UpperCAmelCase    ,	__UpperCAmelCase		):
	lowercase_				=     'bit'
	lowercase_				=     ['preactivation', 'bottleneck']
	lowercase_				=     ['SAME', 'VALID']




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

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








"""simple docstring"""

def 		UpperCAmelCase (		a_      ):





		'''simple docstring'''


		return str(a_      ) == str(a_      )[::-1]
def 		UpperCAmelCase (		a_      ):





		'''simple docstring'''


		return int(a_      ) + int(str(a_      )[::-1]      )
def 		UpperCAmelCase (		a_ = 1_0000      ):





		'''simple docstring'''


		lowerCamelCase					:      Optional[Any]          =   []
		for num in range(1,						a_      ):
				lowerCamelCase					:      List[str]          =   0
				lowerCamelCase					:      Union[str, Any]          =   num
				while iterations < 50:
						lowerCamelCase					:      Optional[int]          =   sum_reverse(a_      )
						iterations += 1
						if is_palindrome(a_      ):
								break
				else:
						lychrel_nums.append(a_      )
		return len(a_      )


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






