

'''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


__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__ ( _snake_case  ,  _snake_case     ):
    lowercase		   =						"swin"

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



    def __init__(   self						,			UpperCamelCase__=224						,			UpperCamelCase__=4						,			UpperCamelCase__=3						,			UpperCamelCase__=96						,			UpperCamelCase__=[2, 2, 6, 2]						,			UpperCamelCase__=[3, 6, 12, 24]						,			UpperCamelCase__=7						,			UpperCamelCase__=4.0						,			UpperCamelCase__=True						,			UpperCamelCase__=0.0						,			UpperCamelCase__=0.0						,			UpperCamelCase__=0.1						,			UpperCamelCase__="gelu"						,			UpperCamelCase__=False						,			UpperCamelCase__=0.02						,			UpperCamelCase__=1e-5						,			UpperCamelCase__=32						,			UpperCamelCase__=None						,			UpperCamelCase__=None						,			**UpperCamelCase__						,			)  -> List[str]:





           '''simple docstring'''
           super().__init__(**UpperCamelCase__    )

           A_		   = image_size
           A_		   = patch_size
           A_		   = num_channels
           A_		   = embed_dim
           A_		   = depths
           A_		   = len(UpperCamelCase__    )
           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(UpperCamelCase__    ) - 1)    )
           A_		   = ["""stem"""] + [f'''stage{idx}''' for idx in range(1						,			len(UpperCamelCase__    ) + 1    )]
           A_   ,     A_		   = get_aligned_output_features_output_indices(
               out_features=UpperCamelCase__						,			out_indices=UpperCamelCase__						,			stage_names=self.stage_names    )


class    A__ ( _snake_case     ):
    lowercase		   =						version.parse("1.11"     )



    @property
    def    snake_case_     (   self    )  -> Mapping[str, Mapping[int, str]]:





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







    @property
    def    snake_case_     (   self    )  -> float:





           '''simple docstring'''
           return 1e-4



'''simple docstring'''







import heapq as hq
import math
from collections.abc import Iterator


class    A__ :



    def __init__(   self						,			UpperCamelCase__    )  -> Dict:





           '''simple docstring'''
           A_		   = str(id_    )
           A_		   = None
           A_		   = None
           A_		   = []
           A_		   = {}  # {vertex:distance}



    def __lt__(   self						,			UpperCamelCase__    )  -> Optional[int]:





           '''simple docstring'''
           return self.key < other.key



    def __repr__(   self    )  -> Dict:





           '''simple docstring'''
           return self.id



    def    snake_case_     (   self						,			UpperCamelCase__    )  -> Dict:





           '''simple docstring'''
           self.neighbors.append(UpperCamelCase__    )







    def    snake_case_     (   self						,			UpperCamelCase__						,			UpperCamelCase__    )  -> Optional[Any]:





           '''simple docstring'''
           A_		   = weight

def  UpperCAmelCase__      ( UpperCAmelCase__,    UpperCAmelCase__,    UpperCAmelCase__,    UpperCAmelCase__			)     ->     Optional[int]:
       # add the neighbors:
       graph[a - 1].add_neighbor(graph[b - 1]			)
       graph[b - 1].add_neighbor(graph[a - 1]			)
       # add the edges:
       graph[a - 1].add_edge(graph[b - 1],    UpperCAmelCase__			)
       graph[b - 1].add_edge(graph[a - 1],    UpperCAmelCase__			)
def  UpperCAmelCase__      ( UpperCAmelCase__,    UpperCAmelCase__			)     ->     list:
       A_		   = []
       for u in graph:
              A_		   = math.inf
              A_		   = None
       A_		   = 0
       A_		   = graph[:]
       while q:
              A_		   = min(UpperCAmelCase__			)
              q.remove(UpperCAmelCase__			)
              for v in u.neighbors:
                     if (v in q) and (u.edges[v.id] < v.key):
                            A_		   = u
                            A_		   = u.edges[v.id]
       for i in range(1,    len(UpperCAmelCase__			)			):
              a.append((int(graph[i].id			) + 1, int(graph[i].pi.id			) + 1)			)
       return a
def  UpperCAmelCase__      ( UpperCAmelCase__,    UpperCAmelCase__			)     ->     Iterator[tuple]:
       for u in graph:
              A_		   = math.inf
              A_		   = None
       A_		   = 0

       A_		   = list(UpperCAmelCase__			)
       hq.heapify(UpperCAmelCase__			)

       while h:
              A_		   = hq.heappop(UpperCAmelCase__			)
              for v in u.neighbors:
                     if (v in h) and (u.edges[v.id] < v.key):
                            A_		   = u
                            A_		   = u.edges[v.id]
                            hq.heapify(UpperCAmelCase__			)

       for i in range(1,    len(UpperCAmelCase__			)			):
              yield (int(graph[i].id			) + 1, int(graph[i].pi.id			) + 1)
def  UpperCAmelCase__      ( )     ->     None:
       pass


if __name__ == "__main__":
      import doctest

      doctest.testmod()
