






'''simple docstring'''





from ...configuration_utils import PretrainedConfig
from ...utils import logging


__A				:				int					=		logging.get_logger(__name__)

__A				:				Tuple					=		{
    """ZinengTang/tvlt-base""": """https://huggingface.co/ZinengTang/tvlt-base/blob/main/config.json""",
}
class 					lowercase							(				_lowerCamelCase   ):


    '''simple docstring'''

    lowerCAmelCase__   					=				"tvlt"

    def __init__(       self  :  Any					,  __lowerCamelCase  :  Dict=224					,  __lowerCamelCase  :  int=2048					,  __lowerCamelCase  :  Optional[Any]=128					,  __lowerCamelCase  :  str=[16, 16]					,  __lowerCamelCase  :  Union[str, Any]=[16, 16]					,  __lowerCamelCase  :  List[str]=3					,  __lowerCamelCase  :  int=1					,  __lowerCamelCase  :  Optional[int]=8					,  __lowerCamelCase  :  Optional[int]=768					,  __lowerCamelCase  :  List[str]=12					,  __lowerCamelCase  :  int=12					,  __lowerCamelCase  :  List[Any]=3072					,  __lowerCamelCase  :  Union[str, Any]="gelu"					,  __lowerCamelCase  :  Any=0.0					,  __lowerCamelCase  :  Optional[int]=0.0					,  __lowerCamelCase  :  Tuple=0.0_2					,  __lowerCamelCase  :  Optional[int]=1E-6					,  __lowerCamelCase  :  Any=True					,  __lowerCamelCase  :  List[str]=False					,  __lowerCamelCase  :  List[str]=16					,  __lowerCamelCase  :  str=512					,  __lowerCamelCase  :  Optional[Any]=8					,  __lowerCamelCase  :  Tuple=2048					,  __lowerCamelCase  :  str=0.7_5					,  __lowerCamelCase  :  Dict=0.1_5					,  __lowerCamelCase  :  Optional[Any]="frame-level"					,  __lowerCamelCase  :  Optional[Any]=True					,  __lowerCamelCase  :  str=True					,  __lowerCamelCase  :  List[Any]="classification"					,  **__lowerCamelCase  :  Tuple					,  )				->				List[str]:

     '''simple docstring'''




     super().__init__(**__lowerCamelCase  )

     if audio_mask_type not in ("frame-level", "patch_level"):
      raise ValueError(
          "audio_mask_type must be one of two acceptable strategies - {'frame_level', 'patch-level') "
          f'''got {audio_mask_type}'''  )

     lowerCamelCase__	=  image_size
     lowerCamelCase__	=  spectrogram_length
     lowerCamelCase__	=  frequency_length
     lowerCamelCase__	=  image_patch_size
     lowerCamelCase__	=  audio_patch_size
     lowerCamelCase__	=  num_image_channels
     lowerCamelCase__	=  num_audio_channels
     lowerCamelCase__	=  num_frames

     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__	=  qkv_bias
     lowerCamelCase__	=  use_mean_pooling

     lowerCamelCase__	=  decoder_num_attention_heads
     lowerCamelCase__	=  decoder_hidden_size
     lowerCamelCase__	=  decoder_num_hidden_layers
     lowerCamelCase__	=  decoder_intermediate_size
     lowerCamelCase__	=  pixel_mask_ratio
     lowerCamelCase__	=  audio_mask_ratio
     lowerCamelCase__	=  audio_mask_type

     lowerCamelCase__	=  task_matching
     lowerCamelCase__	=  task_mae
     lowerCamelCase__	=  loss_type









'''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]

