




__SCREAMING_SNAKE_CASE     : Dict      =[[0, 1, 1], [0, 0, 1], [1, 0, 0]]






class       A      :
     """simple docstring"""

     def __init__(     self	: int						,	A__	: Any      )					->							str:
           lowerCamelCase__   	=					name
           lowerCamelCase__   	=					[]
           lowerCamelCase__   	=					[]




     def 			__snake_case (     self	: Union[str, Any]						,	A__	: Any      )					->							str:
           self.inbound.append(A__      )




     def 			__snake_case (     self	: List[Any]						,	A__	: int      )					->							Any:
           self.outbound.append(A__      )




     def __repr__(     self	: Dict      )					->							Any:
           return F"""<node={self.name} inbound={self.inbound} outbound={self.outbound}>"""

def       lowerCAmelCase_      (	lowerCamelCase:							Any  ,					lowerCamelCase:							str=3  ,					lowerCamelCase:							int=0.85    )       ->      str:


      '''simple docstring'''




      lowerCamelCase__   	=					{}
      for node in nodes:
            lowerCamelCase__   	=					1

      lowerCamelCase__   	=					{}
      for node in nodes:
            lowerCamelCase__   	=					len(node.outbound    )

      for i in range(lowerCamelCase    ):
            print(f"""======= Iteration {i + 1} ======="""    )
            for _, node in enumerate(lowerCamelCase    ):
                  lowerCamelCase__   	=					(1 - d) + d * sum(
                      ranks[ib] / outbounds[ib] for ib in node.inbound    )
            print(lowerCamelCase    )

def       lowerCAmelCase_      (	)       ->      str:


      '''simple docstring'''




      lowerCamelCase__   	=					list(input('Enter Names of the Nodes: '    ).split()    )

      lowerCamelCase__   	=					[Node(lowerCamelCase    ) for name in names]

      for ri, row in enumerate(lowerCamelCase    ):
            for ci, col in enumerate(lowerCamelCase    ):
                  if col == 1:
                        nodes[ci].add_inbound(names[ri]    )
                        nodes[ri].add_outbound(names[ci]    )

      print('======= Nodes ======='    )
      for node in nodes:
            print(lowerCamelCase    )

      page_rank(lowerCamelCase    )


if __name__ == "__main__":
      main()





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


__SCREAMING_SNAKE_CASE     : str      =logging.get_logger(__name__)

__SCREAMING_SNAKE_CASE     : Any      ={
    """ZinengTang/tvlt-base""": """https://huggingface.co/ZinengTang/tvlt-base/blob/main/config.json""",
}






class       A      (		_lowerCAmelCase		):
     """simple docstring"""

     _snake_case:						str  ="tvlt"




     def __init__(     self	: List[Any]						,	A__	: List[str]=2_2_4						,	A__	: Optional[int]=2_0_4_8						,	A__	: str=1_2_8						,	A__	: Union[str, Any]=[1_6, 1_6]						,	A__	: List[Any]=[1_6, 1_6]						,	A__	: int=3						,	A__	: Optional[int]=1						,	A__	: Tuple=8						,	A__	: Tuple=7_6_8						,	A__	: List[str]=1_2						,	A__	: Tuple=1_2						,	A__	: int=3_0_7_2						,	A__	: Tuple="gelu"						,	A__	: str=0.0						,	A__	: Dict=0.0						,	A__	: Any=0.02						,	A__	: int=1E-6						,	A__	: List[str]=True						,	A__	: List[str]=False						,	A__	: Optional[Any]=1_6						,	A__	: Optional[Any]=5_1_2						,	A__	: List[Any]=8						,	A__	: Any=2_0_4_8						,	A__	: List[Any]=0.75						,	A__	: List[Any]=0.15						,	A__	: str="frame-level"						,	A__	: Union[str, Any]=True						,	A__	: Optional[int]=True						,	A__	: Optional[Any]="classification"						,	**A__	: int						,	)					->							Tuple:
           super().__init__(**A__      )

           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