
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__          =		logging.get_logger(__name__)

lowerCamelCase__          =		{
    '''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      A__							(     __a						,   __a	):
				lowercase			    =  '''swin'''

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






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






							'''simple docstring'''







							super().__init__(**__a   )

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







class      A__							(     __a	):
				lowercase			    =  version.parse('1.11'	)






				@property
				def 							_lowerCamelCase		(						self					:      Optional[Any]   ):






							'''simple docstring'''







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






				@property
				def 							_lowerCamelCase		(						self					:      Union[str, Any]   ):






							'''simple docstring'''







							return 1E-4







from math import pi
def 					snake_case_						(   lowerCAmelCase_				:  int				,				lowerCAmelCase_				:  int					):
							return 2 * pi * radius * (angle / 360)


if __name__ == "__main__":
	print(arc_length(90, 10))