


'''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


__SCREAMING_SNAKE_CASE					:				Union[str, Any]									=		logging.get_logger(__name__)

__SCREAMING_SNAKE_CASE					:				int									=		{
    """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 					__lowerCAmelCase   (   __SCREAMING_SNAKE_CASE				,			__SCREAMING_SNAKE_CASE						):

						"""simple docstring"""






						_UpperCAmelCase		:       Optional[int]   						="""swin"""

						_UpperCAmelCase		:       Any   						={
						    """num_attention_heads""": """num_heads""",
						    """num_hidden_layers""": """num_layers""",
						}






						def __init__(  self							:      Any ,  lowerCAmelCase							:      Optional[Any]=2_24 ,  lowerCAmelCase							:      List[Any]=4 ,  lowerCAmelCase							:      Any=3 ,  lowerCAmelCase							:      int=96 ,  lowerCAmelCase							:      Optional[Any]=[2, 2, 6, 2] ,  lowerCAmelCase							:      Dict=[3, 6, 12, 24] ,  lowerCAmelCase							:      List[Any]=7 ,  lowerCAmelCase							:      Tuple=4.0 ,  lowerCAmelCase							:      str=True ,  lowerCAmelCase							:      Union[str, Any]=0.0 ,  lowerCAmelCase							:      str=0.0 ,  lowerCAmelCase							:      Tuple=0.1 ,  lowerCAmelCase							:      Optional[int]="gelu" ,  lowerCAmelCase							:      Tuple=False ,  lowerCAmelCase							:      Optional[Any]=0.0_2 ,  lowerCAmelCase							:      Any=1e-5 ,  lowerCAmelCase							:      Dict=32 ,  lowerCAmelCase							:      Dict=None ,  lowerCAmelCase							:      Optional[Any]=None ,  **lowerCAmelCase							:      List[str] ,  ):
													super().__init__(**_A	)

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






class 					__lowerCAmelCase   (   __SCREAMING_SNAKE_CASE						):

						"""simple docstring"""






						_UpperCAmelCase		:       Dict   						=version.parse("1.11"						)






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






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












"""simple docstring"""


import os

def      UpperCamelCase							():
						UpperCamelCase				:		Union[str, Any]				   =			os.path.join(os.path.dirname(SCREAMING_SNAKE_CASE     )							,     """num.txt"""     )
						with open(SCREAMING_SNAKE_CASE     ) as file_hand:
												return str(sum(int(SCREAMING_SNAKE_CASE     ) for line in file_hand     )     )[:10]


if __name__ == "__main__":
		print(solution())



