





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


UpperCAmelCase_           =	logging.get_logger(__name__)

UpperCAmelCase_           =	{
    "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 			__UpperCamelCase    (							A__	, A__    ):
     __A	:  Union[str, Any]							  =   """swin"""

     __A	:  Tuple							  =   {
         """num_attention_heads""": """num_heads""",
         """num_hidden_layers""": """num_layers""",
     }





     def __init__(     self				,							_UpperCamelCase=224				,							_UpperCamelCase=4				,							_UpperCamelCase=3				,							_UpperCamelCase=96				,							_UpperCamelCase=[2, 2, 6, 2]				,							_UpperCamelCase=[3, 6, 12, 24]				,							_UpperCamelCase=7				,							_UpperCamelCase=4.0				,							_UpperCamelCase=True				,							_UpperCamelCase=0.0				,							_UpperCamelCase=0.0				,							_UpperCamelCase=0.1				,							_UpperCamelCase="gelu"				,							_UpperCamelCase=False				,							_UpperCamelCase=0.02				,							_UpperCamelCase=1e-5				,							_UpperCamelCase=32				,							_UpperCamelCase=None				,							_UpperCamelCase=None				,							**_UpperCamelCase				,							):
        super().__init__(**_UpperCamelCase					)

        _UpperCAmelCase           =   image_size
        _UpperCAmelCase           =   patch_size
        _UpperCAmelCase           =   num_channels
        _UpperCAmelCase           =   embed_dim
        _UpperCAmelCase           =   depths
        _UpperCAmelCase           =   len(_UpperCamelCase					)
        _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(_UpperCamelCase					) - 1)					)
        _UpperCAmelCase           =   ['''stem'''] + [f'''stage{idx}''' for idx in range(1				,							len(_UpperCamelCase					) + 1					)]
        _UpperCAmelCase       ,      _UpperCAmelCase           =   get_aligned_output_features_output_indices(
            out_features=_UpperCamelCase				,							out_indices=_UpperCamelCase				,							stage_names=self.stage_names					)




class 			__UpperCamelCase    (							A__    ):
     __A	:  Dict							  =   version.parse("""1.11"""    )





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





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







"""simple docstring"""
def 				lowercase__		(					lowerCamelCase,						lowerCamelCase       ):
				return abs(lowerCamelCase       ) if a == 0 else greatest_common_divisor(b % a,						lowerCamelCase       )





def 				lowercase__		(					lowerCamelCase,						lowerCamelCase       ):
				while y:  # --> when y=0 then loop will terminate and return x as final GCD.
								_SCREAMING_SNAKE_CASE		,						_SCREAMING_SNAKE_CASE   :		Optional[Any]       		=    y, x % y
				return abs(lowerCamelCase       )





def 				lowercase__		(					):
				try:
								_SCREAMING_SNAKE_CASE   :		Union[str, Any]       		=    input('Enter two integers separated by comma (,): '       ).split(','       )
								_SCREAMING_SNAKE_CASE   :		Dict       		=    int(nums[0]       )
								_SCREAMING_SNAKE_CASE   :		Dict       		=    int(nums[1]       )
								print(
								    f"""greatest_common_divisor({num_a}, {num_a}) = """
								    f"""{greatest_common_divisor(lowerCamelCase,						lowerCamelCase       )}"""       )
								print(f"""By iterative gcd({num_a}, {num_a}) = {gcd_by_iterative(lowerCamelCase,						lowerCamelCase       )}"""       )
				except (IndexError, UnboundLocalError, ValueError):
								print('Wrong input'       )


if __name__ == "__main__":
			main()

