
'''simple docstring'''





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


a__		:   Any            =       logging.get_logger(__name__)

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


class  UpperCamelCase__  (    SCREAMING_SNAKE_CASE):
 UpperCAmelCase__    :    Optional[Any]										=					'tvlt'






 def __init__(			self  :Optional[int]	,				_A  :str=224	,				_A  :str=2_048	,				_A  :List[str]=128	,				_A  :List[Any]=[16, 16]	,				_A  :str=[16, 16]	,				_A  :Tuple=3	,				_A  :Optional[int]=1	,				_A  :Any=8	,				_A  :Union[str, Any]=768	,				_A  :Optional[Any]=12	,				_A  :str=12	,				_A  :Dict=3_072	,				_A  :Union[str, Any]="gelu"	,				_A  :Tuple=0.0	,				_A  :Any=0.0	,				_A  :int=0.02	,				_A  :Tuple=1E-6	,				_A  :int=True	,				_A  :Union[str, Any]=False	,				_A  :Optional[Any]=16	,				_A  :Dict=512	,				_A  :List[str]=8	,				_A  :str=2_048	,				_A  :int=0.75	,				_A  :Dict=0.15	,				_A  :int="frame-level"	,				_A  :Any=True	,				_A  :Optional[Any]=True	,				_A  :Optional[Any]="classification"	,				**_A  :int	,				)				->			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}'			)

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

       __A       	=			hidden_size
       __A       	=			num_hidden_layers
       __A       	=			num_attention_heads
       __A       	=			intermediate_size
       __A       	=			hidden_act
       __A       	=			hidden_dropout_prob
       __A       	=			attention_probs_dropout_prob
       __A       	=			initializer_range
       __A       	=			layer_norm_eps
       __A       	=			qkv_bias
       __A       	=			use_mean_pooling

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

       __A       	=			task_matching
       __A       	=			task_mae
       __A       	=			loss_type








'''simple docstring'''





from .stack import Stack





def        snake_case							(		UpperCAmelCase	)->			bool:







      """simple docstring"""
      __A       	=			Stack()
      __A       	=			{'(': ')', '[': ']', '{': '}'}
      for bracket in parentheses:
            if bracket in bracket_pairs:
                  stack.push(UpperCAmelCase	)
            elif bracket in (")", "]", "}"):
                  if stack.is_empty() or bracket_pairs[stack.pop()] != bracket:
                        return False
      return stack.is_empty()


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

 testmod()

 a__		:   int            =       ["((()))", "((())", "(()))"]
 print("Balanced parentheses demonstration:\n")
 for example in examples:
  a__		:   int            =       "" if balanced_parentheses(example) else "not "
  print(f'''{example} is {not_str}balanced''')






