

"""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


_lowercase				:				Optional[int]   		=		logging.get_logger(__name__)

_lowercase				:				Dict   		=		{
    "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  __SCREAMING_SNAKE_CASE			(   __SCREAMING_SNAKE_CASE	,     __SCREAMING_SNAKE_CASE     ):


					'''simple docstring'''





					_a         =							'swin'

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



					def __init__( self							:						Tuple,						lowerCamelCase							:						List[str]=224,						lowerCamelCase							:						Optional[Any]=4,						lowerCamelCase							:						List[str]=3,						lowerCamelCase							:						Optional[int]=96,						lowerCamelCase							:						List[Any]=[2, 2, 6, 2],						lowerCamelCase							:						Any=[3, 6, 12, 24],						lowerCamelCase							:						List[str]=7,						lowerCamelCase							:						List[Any]=4.0,						lowerCamelCase							:						Dict=True,						lowerCamelCase							:						int=0.0,						lowerCamelCase							:						Any=0.0,						lowerCamelCase							:						Any=0.1,						lowerCamelCase							:						Optional[Any]="gelu",						lowerCamelCase							:						int=False,						lowerCamelCase							:						Any=0.02,						lowerCamelCase							:						Optional[int]=1E-5,						lowerCamelCase							:						Any=32,						lowerCamelCase							:						List[str]=None,						lowerCamelCase							:						List[str]=None,						**lowerCamelCase							:						int,						)->      Dict:
								super().__init__(**_a  )

								lowerCamelCase__	:	Optional[Any]				=image_size
								lowerCamelCase__	:	int				=patch_size
								lowerCamelCase__	:	Dict				=num_channels
								lowerCamelCase__	:	str				=embed_dim
								lowerCamelCase__	:	Dict				=depths
								lowerCamelCase__	:	Any				=len(_a  )
								lowerCamelCase__	:	Any				=num_heads
								lowerCamelCase__	:	List[Any]				=window_size
								lowerCamelCase__	:	Union[str, Any]				=mlp_ratio
								lowerCamelCase__	:	Union[str, Any]				=qkv_bias
								lowerCamelCase__	:	Optional[int]				=hidden_dropout_prob
								lowerCamelCase__	:	Optional[int]				=attention_probs_dropout_prob
								lowerCamelCase__	:	List[str]				=drop_path_rate
								lowerCamelCase__	:	Tuple				=hidden_act
								lowerCamelCase__	:	str				=use_absolute_embeddings
								lowerCamelCase__	:	Optional[int]				=layer_norm_eps
								lowerCamelCase__	:	Dict				=initializer_range
								lowerCamelCase__	:	Dict				=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
								lowerCamelCase__	:	Tuple				=int(embed_dim * 2 ** (len(_a  ) - 1)  )
								lowerCamelCase__	:	Optional[int]				=['''stem'''] + [F'''stage{idx}''' for idx in range(1,						len(_a  ) + 1  )]
								lowerCamelCase__			,     lowerCamelCase__	:	Any				=get_aligned_output_features_output_indices(
								    out_features=_a,						out_indices=_a,						stage_names=self.stage_names  )





class  __SCREAMING_SNAKE_CASE			(   __SCREAMING_SNAKE_CASE     ):


					'''simple docstring'''





					_a         =							version.parse('1.11'     )



					@property
					def 	snake_case ( self							:						Union[str, Any]  )->      str:
								return OrderedDict(
								    [
								        ('''pixel_values''', {0: '''batch''', 1: '''num_channels''', 2: '''height''', 3: '''width'''}),
								    ]  )




					@property
					def 	snake_case ( self							:						Optional[int]  )->      int:
								return 1E-4









"""simple docstring"""






def   snake_case__     (	__lowerCamelCase       :					int = 10							,	__lowerCamelCase       :					int = 22			):
			"""simple docstring"""
			lowerCamelCase__	:	Optional[Any]				=range(1							,	__lowerCamelCase			)
			lowerCamelCase__	:	str				=range(1							,	__lowerCamelCase			)
			return sum(
			    1 for power in powers for base in bases if len(str(base**power			)			) == power			)


if __name__ == "__main__":
		print(f'{solution(1_0, 2_2) = }')




