


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


snake_case							:	Dict					      =				logging.get_logger(__name__)

snake_case							:	Union[str, Any]					      =				{
    '''google/bit-50''': '''https://huggingface.co/google/bit-50/resolve/main/config.json''',
}







class 	snake_case_       (lowerCamelCase_     ,						lowerCamelCase_				):
					UpperCAmelCase__ :   Tuple   				=      '''bit'''
					UpperCAmelCase__ :   Tuple   				=      ['''preactivation''', '''bottleneck''']
					UpperCAmelCase__ :   Any   				=      ['''SAME''', '''VALID''']
					def __init__(				self       :Optional[int]      ,__snake_case       :Optional[Any]=3      ,__snake_case       :int=64      ,__snake_case       :List[str]=[2_56, 5_12, 10_24, 20_48]      ,__snake_case       :str=[3, 4, 6, 3]      ,__snake_case       :Any="preactivation"      ,__snake_case       :Tuple="relu"      ,__snake_case       :str=None      ,__snake_case       :int=32      ,__snake_case       :Optional[int]=0.0      ,__snake_case       :Optional[Any]=False      ,__snake_case       :List[Any]=32      ,__snake_case       :Tuple=1      ,__snake_case       :List[str]=None      ,__snake_case       :List[str]=None      ,**__snake_case       :Optional[int]      ,) ->   Tuple:
												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__					=					global_padding.upper()
																			else:
																										raise ValueError(F'Padding strategy {global_padding} not supported'				)
												a__					=					num_channels
												a__					=					embedding_size
												a__					=					hidden_sizes
												a__					=					depths
												a__					=					layer_type
												a__					=					hidden_act
												a__					=					global_padding
												a__					=					num_groups
												a__					=					drop_path_rate
												a__					=					embedding_dynamic_padding
												a__					=					output_stride
												a__					=					width_factor

												a__					=					['stem'] + [F'stage{idx}' for idx in range(1      ,len(__snake_case				) + 1				)]
												a__				, a__					=					get_aligned_output_features_output_indices(
												    out_features=__snake_case      ,out_indices=__snake_case      ,stage_names=self.stage_names				)








from __future__ import annotations






def 							__lowercase       (			__lowerCAmelCase							:    List[Any] ,   __lowerCAmelCase							:    Optional[Any] ,   __lowerCAmelCase							:    str ,   __lowerCAmelCase							:    List[str]       ):  # noqa: E741
							while r - l > 1:
														a__					=					(l + r) // 2
														if v[m] >= key:
																					a__					=					m
														else:
																					a__					=					m  # noqa: E741
							return r






def 							__lowercase       (			__lowerCAmelCase							:    list[int]       ):
							if len(__lowerCAmelCase       ) == 0:
														return 0

							a__					=					[0] * len(__lowerCAmelCase       )
							a__					=					1

							a__					=					v[0]

							for i in range(1 ,   len(__lowerCAmelCase       )       ):
														if v[i] < tail[0]:
																					a__					=					v[i]
														elif v[i] > tail[length - 1]:
																					a__					=					v[i]
																					length += 1
														else:
																					a__					=					v[i]

							return length


if __name__ == "__main__":
						import doctest

						doctest.testmod()




