



"""simple docstring"""







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


A     =      logging.get_logger(__name__)

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






class   UpperCAmelCase__		(   UpperCamelCase  ):
		lowerCAmelCase_							:						Any							=  """tvlt"""



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






									'''simple docstring'''

									super().__init__(**snake_case					)

									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"""







def 	lowerCAmelCase__      (  lowerCamelCase__      )			->				List[str]:
							A    =       [701, 301, 132, 57, 23, 10, 4, 1]
							for gap in gaps:
														for i in range(lowerCamelCase__					,   len(lowerCamelCase__      )      ):
																					A    =       collection[i]
																					A    =       i
																					while j >= gap and collection[j - gap] > insert_value:
																												A    =       collection[j - gap]
																												j -= gap
																					if j != i:
																												A    =       insert_value
							return collection


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

							testmod()
							A     =      input('Enter numbers separated by a comma:\n').strip()
							A     =      [int(item) for item in user_input.split(',')]
							print(shell_sort(unsorted))



