


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


__UpperCAmelCase       :       List[str]       	= logging.get_logger(__name__)

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



class       UpperCAmelCase_		(							__snake_case):
       '''simple docstring'''
       __UpperCamelCase					:   Union[str, Any]							=    'tvlt'






       def __init__(   self       ,    __SCREAMING_SNAKE_CASE=224       ,    __SCREAMING_SNAKE_CASE=2_048       ,    __SCREAMING_SNAKE_CASE=128       ,    __SCREAMING_SNAKE_CASE=[16, 16]       ,    __SCREAMING_SNAKE_CASE=[16, 16]       ,    __SCREAMING_SNAKE_CASE=3       ,    __SCREAMING_SNAKE_CASE=1       ,    __SCREAMING_SNAKE_CASE=8       ,    __SCREAMING_SNAKE_CASE=768       ,    __SCREAMING_SNAKE_CASE=12       ,    __SCREAMING_SNAKE_CASE=12       ,    __SCREAMING_SNAKE_CASE=3_072       ,    __SCREAMING_SNAKE_CASE="gelu"       ,    __SCREAMING_SNAKE_CASE=0.0       ,    __SCREAMING_SNAKE_CASE=0.0       ,    __SCREAMING_SNAKE_CASE=0.02       ,    __SCREAMING_SNAKE_CASE=1e-6       ,    __SCREAMING_SNAKE_CASE=True       ,    __SCREAMING_SNAKE_CASE=False       ,    __SCREAMING_SNAKE_CASE=16       ,    __SCREAMING_SNAKE_CASE=512       ,    __SCREAMING_SNAKE_CASE=8       ,    __SCREAMING_SNAKE_CASE=2_048       ,    __SCREAMING_SNAKE_CASE=0.75       ,    __SCREAMING_SNAKE_CASE=0.15       ,    __SCREAMING_SNAKE_CASE="frame-level"       ,    __SCREAMING_SNAKE_CASE=True       ,    __SCREAMING_SNAKE_CASE=True       ,    __SCREAMING_SNAKE_CASE="classification"       ,    **__SCREAMING_SNAKE_CASE       ,    ):




              """simple docstring"""




              super().__init__(**__SCREAMING_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}"""  )

              UpperCamelCase			:		Optional[Any]      		=						image_size
              UpperCamelCase			:		Any      		=						spectrogram_length
              UpperCamelCase			:		Optional[int]      		=						frequency_length
              UpperCamelCase			:		Any      		=						image_patch_size
              UpperCamelCase			:		Dict      		=						audio_patch_size
              UpperCamelCase			:		Optional[int]      		=						num_image_channels
              UpperCamelCase			:		Tuple      		=						num_audio_channels
              UpperCamelCase			:		int      		=						num_frames

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

              UpperCamelCase			:		int      		=						decoder_num_attention_heads
              UpperCamelCase			:		List[str]      		=						decoder_hidden_size
              UpperCamelCase			:		str      		=						decoder_num_hidden_layers
              UpperCamelCase			:		str      		=						decoder_intermediate_size
              UpperCamelCase			:		str      		=						pixel_mask_ratio
              UpperCamelCase			:		Union[str, Any]      		=						audio_mask_ratio
              UpperCamelCase			:		Optional[int]      		=						audio_mask_type

              UpperCamelCase			:		Union[str, Any]      		=						task_matching
              UpperCamelCase			:		Optional[int]      		=						task_mae
              UpperCamelCase			:		int      		=						loss_type




from __future__ import annotations

from collections.abc import Generator



def    UpperCamelCase(					lowercase_							)	->				Generator[int, None, None]:





  '''simple docstring'''





  if not isinstance(lowercase_			,					lowercase_							) or n < 1:
    raise Exception("""Sequence only defined for positive integers"""							)

  yield n
  while n != 1:
    if n % 2 == 0:
      n //= 2
    else:
      snake_case_       						=      3 * n + 1
    yield n



def    UpperCamelCase(					)	->				Optional[int]:





  '''simple docstring'''





  snake_case_       						=      43
  snake_case_       						=      tuple(collatz_sequence(lowercase_							)							)
  print(lowercase_							)
  print(f'''Collatz sequence from {n} took {len(lowercase_							)} steps.'''							)


if __name__ == "__main__":
    main()