





UpperCAmelCase						:       str        =					{
    0: 'underwear',
    1: 'pants',
    2: 'belt',
    3: 'suit',
    4: 'shoe',
    5: 'socks',
    6: 'shirt',
    7: 'tie',
    8: 'watch',
}

UpperCAmelCase						:       int        =					[[1, 4], [2, 4], [3], [], [], [4], [2, 7], [3], []]

UpperCAmelCase						:       int        =					[0 for x in range(len(graph))]
UpperCAmelCase						:       List[str]        =					[]







def 			_SCREAMING_SNAKE_CASE    (       a ,						a  )				->				int:
     __A     :						Any          =    1
     while stack:
          __A     :						Union[str, Any]          =    stack.pop()
          print(lowercase_ ,						clothes[current_clothing]  )
          order += 1







def 			_SCREAMING_SNAKE_CASE    (       a ,						a ,						a  )				->				Any:
     __A     :						List[str]          =    1
     for v in graph[u]:
          if not visited[v]:
               depth_first_search(lowercase_ ,						lowercase_ ,						lowercase_  )

     stack.append(lowercase_  )







def 			_SCREAMING_SNAKE_CASE    (       a ,						a  )				->				Optional[int]:







     for v in range(len(lowercase_  )  ):
          if not visited[v]:
               depth_first_search(lowercase_ ,						lowercase_ ,						lowercase_  )


if __name__ == "__main__":
    topological_sort(graph, visited)
    print(stack)
    print_stack(stack, clothes)











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


UpperCAmelCase						:       str        =					logging.get_logger(__name__)

UpperCAmelCase						:       Optional[Any]        =					{
    '''MBZUAI/swiftformer-xs''': '''https://huggingface.co/MBZUAI/swiftformer-xs/resolve/main/config.json''',
}





class 						_A( snake_case__       ):


				"""simple docstring"""


				UpperCamelCase   :  Union[str, Any]    =     '''swiftformer'''



				def __init__(      self					, _A=3					, _A=[3, 3, 6, 4]					, _A=[48, 56, 112, 220]					, _A=4					, _A=[True, True, True, True]					, _A="gelu"					, _A=3					, _A=2					, _A=1					, _A=0.0					, _A=True					, _A=1e-5					, _A=1e-5					, **_A					, ):
									super().__init__(**_A					)
									__A     :						List[Any]          =    num_channels
									__A     :						List[Any]          =    depths
									__A     :						int          =    embed_dims
									__A     :						Union[str, Any]          =    mlp_ratio
									__A     :						List[str]          =    downsamples
									__A     :						str          =    hidden_act
									__A     :						Any          =    down_patch_size
									__A     :						Any          =    down_stride
									__A     :						Any          =    down_pad
									__A     :						List[Any]          =    drop_path_rate
									__A     :						str          =    use_layer_scale
									__A     :						Dict          =    layer_scale_init_value
									__A     :						Union[str, Any]          =    batch_norm_eps





class 						_A( snake_case__       ):


				"""simple docstring"""


				UpperCamelCase   :  Optional[Any]    =     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




