






'''simple docstring'''





import copy
from typing import Dict

from ...configuration_utils import PretrainedConfig
from ...utils import logging
from ..auto.configuration_auto import CONFIG_MAPPING
from ..bit import BitConfig


__A				:				Dict					=		logging.get_logger(__name__)

__A				:				Tuple					=		{
    """google/vit-hybrid-base-bit-384""": """https://huggingface.co/vit-hybrid-base-bit-384/resolve/main/config.json""",
    # See all ViT hybrid models at https://huggingface.co/models?filter=vit
}
class 					lowercase							(				_lowerCamelCase   ):


    '''simple docstring'''

    lowerCAmelCase__   					=				"vit-hybrid"

    def __init__(       self  :  Any					,  __lowerCamelCase  :  Union[str, Any]=None					,  __lowerCamelCase  :  Optional[int]=768					,  __lowerCamelCase  :  str=12					,  __lowerCamelCase  :  List[Any]=12					,  __lowerCamelCase  :  str=3072					,  __lowerCamelCase  :  Optional[int]="gelu"					,  __lowerCamelCase  :  str=0.0					,  __lowerCamelCase  :  List[Any]=0.0					,  __lowerCamelCase  :  int=0.0_2					,  __lowerCamelCase  :  Dict=1E-12					,  __lowerCamelCase  :  List[str]=224					,  __lowerCamelCase  :  Optional[int]=1					,  __lowerCamelCase  :  Optional[Any]=3					,  __lowerCamelCase  :  Tuple=[1, 1024, 24, 24]					,  __lowerCamelCase  :  List[str]=True					,  **__lowerCamelCase  :  int					,  )				->				str:

     '''simple docstring'''




     super().__init__(**__lowerCamelCase  )

     if backbone_config is None:
      logger.info("`backbone_config` is `None`. Initializing the config with a `BiT` backbone."  )
      lowerCamelCase__	=  {
          "global_padding": "same",
          "layer_type": "bottleneck",
          "depths": [3, 4, 9],
          "out_features": ["stage3"],
          "embedding_dynamic_padding": True,
      }

     if isinstance(__lowerCamelCase					,  __lowerCamelCase  ):
      if "model_type" in backbone_config:
       lowerCamelCase__	=  CONFIG_MAPPING[backbone_config["model_type"]]
      else:
       logger.info(
           "`model_type` is not found in `backbone_config`. Use `Bit` as the backbone configuration class."  )
       lowerCamelCase__	=  BitConfig
      lowerCamelCase__	=  backbone_config_class(**__lowerCamelCase  )

     lowerCamelCase__	=  backbone_featmap_shape
     lowerCamelCase__	=  backbone_config
     lowerCamelCase__	=  hidden_size
     lowerCamelCase__	=  num_hidden_layers
     lowerCamelCase__	=  num_attention_heads
     lowerCamelCase__	=  intermediate_size
     lowerCamelCase__	=  hidden_act
     lowerCamelCase__	=  hidden_dropout_prob
     lowerCamelCase__	=  attention_probs_dropout_prob
     lowerCamelCase__	=  initializer_range
     lowerCamelCase__	=  layer_norm_eps
     lowerCamelCase__	=  image_size
     lowerCamelCase__	=  patch_size
     lowerCamelCase__	=  num_channels
     lowerCamelCase__	=  qkv_bias




    def  a__					(       self  :  Any  )				->				Dict[str, any]:

     '''simple docstring'''




     lowerCamelCase__	=  copy.deepcopy(self.__dict__  )
     lowerCamelCase__	=  self.backbone_config.to_dict()
     lowerCamelCase__	=  self.__class__.model_type
     return output









'''simple docstring'''





from __future__ import annotations

from queue import Queue
class 					lowercase							:


    '''simple docstring'''

    def __init__(       self  :  Optional[int]  )				->				None:

     '''simple docstring'''




     lowerCamelCase__	=  {}

    def  a__					(       self  :  Optional[int]  )				->				None:

     '''simple docstring'''




     for i in self.vertices:
      print(__lowerCamelCase					,  " : "					,  " -> ".join([str(__lowerCamelCase  ) for j in self.vertices[i]]  )  )

    def  a__					(       self  :  Optional[Any]					,  __lowerCamelCase  :  int					,  __lowerCamelCase  :  int  )				->				None:

     '''simple docstring'''




     if from_vertex in self.vertices:
      self.vertices[from_vertex].append(__lowerCamelCase  )
     else:
      lowerCamelCase__	=  [to_vertex]




    def  a__					(       self  :  Optional[int]					,  __lowerCamelCase  :  int  )				->				set[int]:

     '''simple docstring'''




     lowerCamelCase__	=  set()

     # create a first in first out queue to store all the vertices for BFS
     lowerCamelCase__	=  Queue()

     # mark the source node as visited and enqueue it
     visited.add(__lowerCamelCase  )
     queue.put(__lowerCamelCase  )

     while not queue.empty():
      lowerCamelCase__	=  queue.get()

      # loop through all adjacent vertex and enqueue it if not yet visited
      for adjacent_vertex in self.vertices[vertex]:
       if adjacent_vertex not in visited:
        queue.put(__lowerCamelCase  )
        visited.add(__lowerCamelCase  )
     return visited


if __name__ == "__main__":
 from doctest import testmod

 testmod(verbose=True)

 __A				:				Optional[Any]					=		Graph()
 g.add_edge(0, 1)
 g.add_edge(0, 2)
 g.add_edge(1, 2)
 g.add_edge(2, 0)
 g.add_edge(2, 3)
 g.add_edge(3, 3)

 g.print_graph()
 # 0  :  1 -> 2
 # 1  :  2
 # 2  :  0 -> 3
 # 3  :  3

 assert sorted(g.bfs(2)) == [0, 1, 2, 3]

