






_UpperCAmelCase					:						List[Any]         =     float('inf')


class 		lowerCAmelCase_				:





     def __init__(	self							, _UpperCAmelCase  )		->				Optional[int]:
        lowerCamelCase									=[0] * n
        lowerCamelCase									=[0] * n
        lowerCamelCase									=[0] * n
        lowerCamelCase									=[[] for _ in range(_UpperCAmelCase  )]





     def 						lowerCamelCase							(	self							, _UpperCAmelCase							, _UpperCAmelCase							, _UpperCAmelCase							, _UpperCAmelCase=0  )		->				Dict:
        self.adj[a].append([b, len(self.adj[b]  ), c, 0]  )
        self.adj[b].append([a, len(self.adj[a]  ) - 1, rcap, 0]  )





     def 						lowerCamelCase							(	self							, _UpperCAmelCase							, _UpperCAmelCase							, _UpperCAmelCase  )		->				Dict:
        if vertex == sink or not flow:
           return flow

        for i in range(self.ptr[vertex]							, len(self.adj[vertex]  )  ):
           lowerCamelCase									=self.adj[vertex][i]
           if self.lvl[e[0]] == self.lvl[vertex] + 1:
              lowerCamelCase									=self.depth_first_search(e[0]							, _UpperCAmelCase							, min(_UpperCAmelCase							, e[2] - e[3]  )  )
              if p:
                 self.adj[vertex][i][3] += p
                 self.adj[e[0]][e[1]][3] -= p
                 return p
           lowerCamelCase									=self.ptr[vertex] + 1
        return 0





     def 						lowerCamelCase							(	self							, _UpperCAmelCase							, _UpperCAmelCase  )		->				int:
        lowerCamelCase				,       lowerCamelCase									=0, source
        for l in range(31  ):  # noqa: E741  l = 30 maybe faster for random data
           while True:
              lowerCamelCase				,       lowerCamelCase									=[0] * len(self.q  ), [0] * len(self.q  )
              lowerCamelCase				,       lowerCamelCase				,       lowerCamelCase									=0, 1, 1
              while qi < qe and not self.lvl[sink]:
                 lowerCamelCase									=self.q[qi]
                 qi += 1
                 for e in self.adj[v]:
                    if not self.lvl[e[0]] and (e[2] - e[3]) >> (30 - l):
                       lowerCamelCase									=e[0]
                       qe += 1
                       lowerCamelCase									=self.lvl[v] + 1

              lowerCamelCase									=self.depth_first_search(_UpperCAmelCase							, _UpperCAmelCase							, _UpperCAmelCase  )
              while p:
                 flow += p
                 lowerCamelCase									=self.depth_first_search(_UpperCAmelCase							, _UpperCAmelCase							, _UpperCAmelCase  )

              if not self.lvl[sink]:
                 break

        return flow
_UpperCAmelCase					:						List[Any]         =     Dinic(10)
_UpperCAmelCase					:						Dict         =     0
_UpperCAmelCase					:						List[str]         =     9
for vertex in range(1, 5):
   graph.add_edge(source, vertex, 1)
for vertex in range(5, 9):
   graph.add_edge(vertex, sink, 1)
for vertex in range(1, 5):
   graph.add_edge(vertex, vertex + 4, 1)

# Now we can know that is the maximum flow(source -> sink)
print(graph.max_flow(source, sink))







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


_UpperCAmelCase					:						Any         =     logging.get_logger(__name__)

_UpperCAmelCase					:						Dict         =     {
    'ZinengTang/tvlt-base': 'https://huggingface.co/ZinengTang/tvlt-base/blob/main/config.json',
}


class 		lowerCAmelCase_				(  UpperCamelCase ):
     __lowerCamelCase       :    Any 	=     '''tvlt'''





     def __init__(	self							, _UpperCAmelCase=224							, _UpperCAmelCase=2048							, _UpperCAmelCase=128							, _UpperCAmelCase=[16, 16]							, _UpperCAmelCase=[16, 16]							, _UpperCAmelCase=3							, _UpperCAmelCase=1							, _UpperCAmelCase=8							, _UpperCAmelCase=768							, _UpperCAmelCase=12							, _UpperCAmelCase=12							, _UpperCAmelCase=3072							, _UpperCAmelCase="gelu"							, _UpperCAmelCase=0.0							, _UpperCAmelCase=0.0							, _UpperCAmelCase=0.02							, _UpperCAmelCase=1E-6							, _UpperCAmelCase=True							, _UpperCAmelCase=False							, _UpperCAmelCase=16							, _UpperCAmelCase=512							, _UpperCAmelCase=8							, _UpperCAmelCase=2048							, _UpperCAmelCase=0.75							, _UpperCAmelCase=0.15							, _UpperCAmelCase="frame-level"							, _UpperCAmelCase=True							, _UpperCAmelCase=True							, _UpperCAmelCase="classification"							, **_UpperCAmelCase							, )		->				List[Any]:
        super().__init__(**_UpperCAmelCase  )

        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