"""simple docstring"""






from collections import OrderedDict
from typing import Mapping

from packaging import version

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


lowerCAmelCase__						:						Any		  =			logging.get_logger(__name__)

lowerCAmelCase__						:						Optional[Any]		  =			{
    """microsoft/swin-tiny-patch4-window7-224""": (
        """https://huggingface.co/microsoft/swin-tiny-patch4-window7-224/resolve/main/config.json"""
    ),
    # See all Swin models at https://huggingface.co/models?filter=swin
}
class        snake_case (	__snake_case   ,					__snake_case       ):




					"""simple docstring"""

					snake_case__       					=				'swin'

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







					def __init__(       self     :			Optional[Any]					,lowerCamelCase__     :			Optional[int]=224					,lowerCamelCase__     :			Dict=4					,lowerCamelCase__     :			Optional[Any]=3					,lowerCamelCase__     :			Optional[int]=96					,lowerCamelCase__     :			Tuple=[2, 2, 6, 2]					,lowerCamelCase__     :			Tuple=[3, 6, 12, 24]					,lowerCamelCase__     :			Optional[Any]=7					,lowerCamelCase__     :			List[str]=4.0					,lowerCamelCase__     :			Optional[Any]=True					,lowerCamelCase__     :			Union[str, Any]=0.0					,lowerCamelCase__     :			int=0.0					,lowerCamelCase__     :			Tuple=0.1					,lowerCamelCase__     :			Any="gelu"					,lowerCamelCase__     :			Dict=False					,lowerCamelCase__     :			str=0.0_2					,lowerCamelCase__     :			Optional[Any]=1e-5					,lowerCamelCase__     :			Any=32					,lowerCamelCase__     :			List[Any]=None					,lowerCamelCase__     :			Any=None					,**lowerCamelCase__     :			Dict					,):
									super().__init__(**A_    )

									UpperCAmelCase__    =							image_size
									UpperCAmelCase__    =							patch_size
									UpperCAmelCase__    =							num_channels
									UpperCAmelCase__    =							embed_dim
									UpperCAmelCase__    =							depths
									UpperCAmelCase__    =							len(A_    )
									UpperCAmelCase__    =							num_heads
									UpperCAmelCase__    =							window_size
									UpperCAmelCase__    =							mlp_ratio
									UpperCAmelCase__    =							qkv_bias
									UpperCAmelCase__    =							hidden_dropout_prob
									UpperCAmelCase__    =							attention_probs_dropout_prob
									UpperCAmelCase__    =							drop_path_rate
									UpperCAmelCase__    =							hidden_act
									UpperCAmelCase__    =							use_absolute_embeddings
									UpperCAmelCase__    =							layer_norm_eps
									UpperCAmelCase__    =							initializer_range
									UpperCAmelCase__    =							encoder_stride
									# 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
									UpperCAmelCase__    =							int(embed_dim * 2 ** (len(A_    ) - 1)    )
									UpperCAmelCase__    =							["stem"] + [f'''stage{idx}''' for idx in range(1					,len(A_    ) + 1    )]
									UpperCAmelCase__    =							get_aligned_output_features_output_indices(
									    out_features=A_					,out_indices=A_					,stage_names=self.stage_names    )






class        snake_case (	__snake_case       ):




					"""simple docstring"""

					snake_case__       					=				version.parse("1.11"       )







					@property
					def 	__lowerCAmelCase		(       self     :			Optional[int]    ):
									return OrderedDict(
									    [
									        ('pixel_values', {0: 'batch', 1: 'num_channels', 2: 'height', 3: 'width'}),
									    ]    )







					@property
					def 	__lowerCAmelCase		(       self     :			Dict    ):
									return 1e-4




"""simple docstring"""






def 						a_		(      lowerCamelCase      ,    lowerCamelCase ):
				return x if y == 0 else greatest_common_divisor(lowerCamelCase      ,    x % y )



def 						a_		(      lowerCamelCase      ,    lowerCamelCase ):
				return (x * y) // greatest_common_divisor(lowerCamelCase      ,    lowerCamelCase )



def 						a_		(      lowerCamelCase = 2_0 ):
				UpperCAmelCase__    =							1
				for i in range(1      ,    n + 1 ):
								UpperCAmelCase__    =							lcm(lowerCamelCase      ,    lowerCamelCase )
				return g


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



