





'''simple docstring'''

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


lowercase_					= logging.get_logger(__name__)


class 					a_     (				snake_case_      ,    snake_case_       ):

    '''simple docstring'''
    UpperCamelCase     = '''maskformer-swin'''

    UpperCamelCase     = {
        '''num_attention_heads''': '''num_heads''',
        '''num_hidden_layers''': '''num_layers''',
    }


    def __init__(		self ,		A=224 ,		A=4 ,		A=3 ,		A=96 ,		A=[2, 2, 6, 2] ,		A=[3, 6, 12, 24] ,		A=7 ,		A=4.0 ,		A=True ,		A=0.0 ,		A=0.0 ,		A=0.1 ,		A="gelu" ,		A=False ,		A=0.02 ,		A=1e-5 ,		A=None ,		A=None ,		**A ,		)		->   Any:
        super().__init__(**A       )

        _SCREAMING_SNAKE_CASE									=			image_size
        _SCREAMING_SNAKE_CASE									=			patch_size
        _SCREAMING_SNAKE_CASE									=			num_channels
        _SCREAMING_SNAKE_CASE									=			embed_dim
        _SCREAMING_SNAKE_CASE									=			depths
        _SCREAMING_SNAKE_CASE									=			len(A       )
        _SCREAMING_SNAKE_CASE									=			num_heads
        _SCREAMING_SNAKE_CASE									=			window_size
        _SCREAMING_SNAKE_CASE									=			mlp_ratio
        _SCREAMING_SNAKE_CASE									=			qkv_bias
        _SCREAMING_SNAKE_CASE									=			hidden_dropout_prob
        _SCREAMING_SNAKE_CASE									=			attention_probs_dropout_prob
        _SCREAMING_SNAKE_CASE									=			drop_path_rate
        _SCREAMING_SNAKE_CASE									=			hidden_act
        _SCREAMING_SNAKE_CASE									=			use_absolute_embeddings
        _SCREAMING_SNAKE_CASE									=			layer_norm_eps
        _SCREAMING_SNAKE_CASE									=			initializer_range
        # we set the hidden_size attribute in order to make Swin work with VisionEncoderDecoderModel
        # this indicates the channel dimension after the last stage of the model
        _SCREAMING_SNAKE_CASE									=			int(embed_dim * 2 ** (len(A       ) - 1)       )
        _SCREAMING_SNAKE_CASE									=			["""stem"""] + [f'stage{idx}' for idx in range(1 ,		len(A       ) + 1       )]
        _SCREAMING_SNAKE_CASE				,       _SCREAMING_SNAKE_CASE									=			get_aligned_output_features_output_indices(
            out_features=A ,		out_indices=A ,		stage_names=self.stage_names       )










def 						__SCREAMING_SNAKE_CASE  (				UpperCamelCase__			,			UpperCamelCase__			,			UpperCamelCase__ )  ->				int:







			'''simple docstring'''

			if exponent == 1:
						return base
			if exponent % 2 == 0:
						UpperCAmelCase   		=				_modexpt(UpperCamelCase__			,			exponent // 2			,			UpperCamelCase__ ) % modulo_value
						return (x * x) % modulo_value
			else:
						return (base * _modexpt(UpperCamelCase__			,			exponent - 1			,			UpperCamelCase__ )) % modulo_value





def 						__SCREAMING_SNAKE_CASE  (				UpperCamelCase__ = 1777			,			UpperCamelCase__ = 1855			,			UpperCamelCase__ = 8 )  ->				int:







			'''simple docstring'''

			UpperCAmelCase   		=				base
			for _ in range(1			,			UpperCamelCase__ ):
						UpperCAmelCase   		=				_modexpt(UpperCamelCase__			,			UpperCamelCase__			,			10**digits )

			return result


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



