




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


SCREAMING_SNAKE_CASE_    :       List[Any]       =							logging.get_logger(__name__)

SCREAMING_SNAKE_CASE_    :       Optional[Any]       =							{
    '''ZinengTang/tvlt-base''': '''https://huggingface.co/ZinengTang/tvlt-base/blob/main/config.json''',
}







class 		__UpperCAmelCase(		lowercase__			):





     """simple docstring"""



     __UpperCAmelCase						:			str							=     'tvlt'

     def __init__(   self			:							Optional[int]    ,					A			:							Any=2_24    ,					A			:							Union[str, Any]=20_48    ,					A			:							Dict=1_28    ,					A			:							Optional[int]=[16, 16]    ,					A			:							Union[str, Any]=[16, 16]    ,					A			:							int=3    ,					A			:							List[str]=1    ,					A			:							List[Any]=8    ,					A			:							int=7_68    ,					A			:							Union[str, Any]=12    ,					A			:							Optional[Any]=12    ,					A			:							List[str]=30_72    ,					A			:							Dict="gelu"    ,					A			:							List[Any]=0.0    ,					A			:							Union[str, Any]=0.0    ,					A			:							Optional[int]=0.0_2    ,					A			:							str=1E-6    ,					A			:							List[Any]=True    ,					A			:							Any=False    ,					A			:							str=16    ,					A			:							Dict=5_12    ,					A			:							int=8    ,					A			:							List[Any]=20_48    ,					A			:							Any=0.7_5    ,					A			:							List[str]=0.1_5    ,					A			:							Dict="frame-level"    ,					A			:							Dict=True    ,					A			:							Any=True    ,					A			:							int="classification"    ,					**A			:							Dict    ,					)      ->      str:






         """simple docstring"""
         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}"""     )

         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








import math
def lowerCamelCase_       (			A			:      int						):




      """simple docstring"""

      if 1 < number < 4:
            # 2 and 3 are primes
            return True
      elif number < 2 or number % 2 == 0 or number % 3 == 0:
            # Negatives, 0, 1, all even numbers, all multiples of 3 are not primes
            return False

      # All primes number are in format of 6k +/- 1
      for i in range(5		,					int(math.sqrt(A						) + 1						)		,					6						):
            if number % i == 0 or number % (i + 2) == 0:
                  return False
      return True
def lowerCamelCase_       (			A			:      int = 2_00_00_00						):




      """simple docstring"""
      return sum(num for num in range(3		,					A		,					2						) if is_prime(A						)						) + 2 if n > 2 else 0


if __name__ == "__main__":
 print(f'''{solution() = }''')



