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


lowerCamelCase__        =						logging.get_logger(__name__)

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







class 	A__				(	__magic_name__      ):
				lowercase            =    'tvlt'






				def __init__(		self   : Dict       ,	a   : List[str]=224       ,	a   : Dict=2_048       ,	a   : Union[str, Any]=128       ,	a   : Optional[int]=[16, 16]       ,	a   : List[Any]=[16, 16]       ,	a   : Dict=3       ,	a   : Optional[int]=1       ,	a   : str=8       ,	a   : Optional[int]=768       ,	a   : int=12       ,	a   : Dict=12       ,	a   : str=3_072       ,	a   : int="gelu"       ,	a   : int=0.0       ,	a   : Optional[Any]=0.0       ,	a   : List[Any]=0.0_2       ,	a   : Tuple=1E-6       ,	a   : Any=True       ,	a   : Tuple=False       ,	a   : str=16       ,	a   : Any=512       ,	a   : int=8       ,	a   : List[str]=2_048       ,	a   : Optional[Any]=0.7_5       ,	a   : Any=0.1_5       ,	a   : List[str]="frame-level"       ,	a   : Dict=True       ,	a   : List[str]=True       ,	a   : List[Any]="classification"       ,	**a   : Union[str, Any]       ,	):






							'''simple docstring'''







							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__ : Union[str, Any]   =						image_size
							lowerCAmelCase__ : Union[str, Any]   =						spectrogram_length
							lowerCAmelCase__ : Any   =						frequency_length
							lowerCAmelCase__ : Any   =						image_patch_size
							lowerCAmelCase__ : int   =						audio_patch_size
							lowerCAmelCase__ : Optional[int]   =						num_image_channels
							lowerCAmelCase__ : Dict   =						num_audio_channels
							lowerCAmelCase__ : Tuple   =						num_frames

							lowerCAmelCase__ : List[str]   =						hidden_size
							lowerCAmelCase__ : int   =						num_hidden_layers
							lowerCAmelCase__ : Dict   =						num_attention_heads
							lowerCAmelCase__ : int   =						intermediate_size
							lowerCAmelCase__ : Optional[Any]   =						hidden_act
							lowerCAmelCase__ : str   =						hidden_dropout_prob
							lowerCAmelCase__ : Optional[Any]   =						attention_probs_dropout_prob
							lowerCAmelCase__ : Any   =						initializer_range
							lowerCAmelCase__ : Union[str, Any]   =						layer_norm_eps
							lowerCAmelCase__ : Union[str, Any]   =						qkv_bias
							lowerCAmelCase__ : Optional[int]   =						use_mean_pooling

							lowerCAmelCase__ : Dict   =						decoder_num_attention_heads
							lowerCAmelCase__ : Optional[Any]   =						decoder_hidden_size
							lowerCAmelCase__ : Tuple   =						decoder_num_hidden_layers
							lowerCAmelCase__ : Any   =						decoder_intermediate_size
							lowerCAmelCase__ : Any   =						pixel_mask_ratio
							lowerCAmelCase__ : Dict   =						audio_mask_ratio
							lowerCAmelCase__ : int   =						audio_mask_type

							lowerCAmelCase__ : List[str]   =						task_matching
							lowerCAmelCase__ : List[str]   =						task_mae
							lowerCAmelCase__ : int   =						loss_type

lowerCamelCase__        =						[[0, 1, 1], [0, 0, 1], [1, 0, 0]]







class 	A__				:






				def __init__(		self   : Optional[int]       ,	a   : int  ):






							'''simple docstring'''







							lowerCAmelCase__ : List[str]   =						name
							lowerCAmelCase__ : List[Any]   =						[]
							lowerCAmelCase__ : int   =						[]






				def 				_lowerCamelCase						(		self   : List[str]       ,	a   : Union[str, Any]  ):






							'''simple docstring'''







							self.inbound.append(a  )






				def 				_lowerCamelCase						(		self   : Dict       ,	a   : Union[str, Any]  ):






							'''simple docstring'''







							self.outbound.append(a  )






				def __repr__(		self   : Tuple  ):






							'''simple docstring'''







							return f'''<node={self.name} inbound={self.inbound} outbound={self.outbound}>'''






def 					lowerCAmelCase__     (    SCREAMING_SNAKE_CASE_			,				SCREAMING_SNAKE_CASE_=3			,				SCREAMING_SNAKE_CASE_=0.85	)							->						Optional[Any]:
			lowerCAmelCase__ : Tuple   =						{}
			for node in nodes:
						lowerCAmelCase__ : Union[str, Any]   =						1

			lowerCAmelCase__ : List[str]   =						{}
			for node in nodes:
						lowerCAmelCase__ : str   =						len(node.outbound	)

			for i in range(SCREAMING_SNAKE_CASE_	):
						print(F'''======= Iteration {i + 1} ======='''	)
						for _, node in enumerate(SCREAMING_SNAKE_CASE_	):
									lowerCAmelCase__ : Optional[int]   =						(1 - d) + d * sum(
									    ranks[ib] / outbounds[ib] for ib in node.inbound	)
						print(SCREAMING_SNAKE_CASE_	)
def 					lowerCAmelCase__     (    )							->						Dict:
			lowerCAmelCase__ : List[Any]   =						list(input('Enter Names of the Nodes: '	).split()	)

			lowerCAmelCase__ : Union[str, Any]   =						[Node(SCREAMING_SNAKE_CASE_	) for name in names]

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

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

			page_rank(SCREAMING_SNAKE_CASE_	)


if __name__ == "__main__":
					main()