





class 						_A:


    """simple docstring"""


    def __init__(      self					, _A					):
         __A     :						int          =    data
         __A     :						int
         __A     :						Node







def 			_SCREAMING_SNAKE_CASE    (       a  )				->				None:
     __A     :						Tuple          =    0
     __A     :						Dict          =    x







def 			_SCREAMING_SNAKE_CASE    (       a ,						a  )				->				None:
     __A     :						Optional[Any]          =    find_set(a  ), find_set(a  )
     if x == y:
          return

     elif x.rank > y.rank:
          __A     :						Union[str, Any]          =    x
     else:
          __A     :						Tuple          =    y
          if x.rank == y.rank:
               y.rank += 1







def 			_SCREAMING_SNAKE_CASE    (       a  )				->				Node:
     if x != x.parent:
          __A     :						Tuple          =    find_set(x.parent  )
     return x.parent







def 			_SCREAMING_SNAKE_CASE    (       a  )				->				set:
     __A     :						str          =    ({0, 1, 2}, {3, 4, 5})
     for s in sets:
          if node.data in s:
               return s
     __A     :						List[str]          =    F"""{node.data} is not in {sets}"""
     raise ValueError(a  )







def 			_SCREAMING_SNAKE_CASE    (       )				->				None:
     __A     :						Tuple          =    [Node(a  ) for i in range(6  )]
     for v in vertex:
          make_set(a  )

     union_set(vertex[0] ,						vertex[1]  )
     union_set(vertex[1] ,						vertex[2]  )
     union_set(vertex[3] ,						vertex[4]  )
     union_set(vertex[3] ,						vertex[5]  )

     for nodea in vertex:
          for nodea in vertex:
               if find_python_set(a  ).isdisjoint(find_python_set(a  )  ):
                    assert find_set(a  ) != find_set(a  )
               else:
                    assert find_set(a  ) == find_set(a  )


if __name__ == "__main__":
    test_disjoint_set()











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




