

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


UpperCAmelCase__	:       Dict			      =      logging.get_logger(__name__)

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







class     a__    (				UpperCAmelCase    ):







  """simple docstring"""




  UpperCAmelCase__ :	List[str]         ="""tvlt"""


  def __init__(     self      :	List[Any]			,			UpperCAmelCase__      :	int=2_2_4			,			UpperCAmelCase__      :	Any=2_0_4_8			,			UpperCAmelCase__      :	Any=1_2_8			,			UpperCAmelCase__      :	List[Any]=[1_6, 1_6]			,			UpperCAmelCase__      :	Dict=[1_6, 1_6]			,			UpperCAmelCase__      :	Tuple=3			,			UpperCAmelCase__      :	int=1			,			UpperCAmelCase__      :	Optional[int]=8			,			UpperCAmelCase__      :	Optional[int]=7_6_8			,			UpperCAmelCase__      :	Optional[int]=1_2			,			UpperCAmelCase__      :	Union[str, Any]=1_2			,			UpperCAmelCase__      :	List[str]=3_0_7_2			,			UpperCAmelCase__      :	Optional[Any]="gelu"			,			UpperCAmelCase__      :	Any=0.0			,			UpperCAmelCase__      :	List[str]=0.0			,			UpperCAmelCase__      :	str=0.02			,			UpperCAmelCase__      :	Tuple=1e-6			,			UpperCAmelCase__      :	Any=True			,			UpperCAmelCase__      :	Optional[Any]=False			,			UpperCAmelCase__      :	Optional[int]=1_6			,			UpperCAmelCase__      :	int=5_1_2			,			UpperCAmelCase__      :	int=8			,			UpperCAmelCase__      :	List[Any]=2_0_4_8			,			UpperCAmelCase__      :	Union[str, Any]=0.75			,			UpperCAmelCase__      :	Tuple=0.15			,			UpperCAmelCase__      :	Dict="frame-level"			,			UpperCAmelCase__      :	Tuple=True			,			UpperCAmelCase__      :	Optional[Any]=True			,			UpperCAmelCase__      :	Dict="classification"			,			**UpperCAmelCase__      :	Optional[Any]			,			)   ->List[Any]:
        """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}"						)

        SCREAMING_SNAKE_CASE	: Optional[Any]					       =				image_size
        SCREAMING_SNAKE_CASE	: List[Any]					       =				spectrogram_length
        SCREAMING_SNAKE_CASE	: Optional[Any]					       =				frequency_length
        SCREAMING_SNAKE_CASE	: str					       =				image_patch_size
        SCREAMING_SNAKE_CASE	: Union[str, Any]					       =				audio_patch_size
        SCREAMING_SNAKE_CASE	: int					       =				num_image_channels
        SCREAMING_SNAKE_CASE	: Union[str, Any]					       =				num_audio_channels
        SCREAMING_SNAKE_CASE	: Optional[int]					       =				num_frames

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

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

        SCREAMING_SNAKE_CASE	: Union[str, Any]					       =				task_matching
        SCREAMING_SNAKE_CASE	: List[str]					       =				task_mae
        SCREAMING_SNAKE_CASE	: int					       =				loss_type







from __future__ import annotations

UpperCAmelCase__	:       Optional[int]			      =      [2, 1, 4, 5, 6, 0, 8, 9, 1, 2, 0, 6, 4, 2, 0, 6, 5, 3, 2, 7]







class     a__    :







  """simple docstring"""




  def __init__(     self      :	Optional[Any]			,			UpperCAmelCase__      :	int						)   ->None:
        """simple docstring"""







        SCREAMING_SNAKE_CASE	: int					       =				-1
        SCREAMING_SNAKE_CASE	: int					       =				-1
        SCREAMING_SNAKE_CASE	: list[int]					       =				[-1] * length
        SCREAMING_SNAKE_CASE	: Node | None					       =				None
        SCREAMING_SNAKE_CASE	: Node | None					       =				None




  def __repr__(     self      :	Dict						)   ->str:
        """simple docstring"""







        return f"Node(min_value={self.minn} max_value={self.maxx})"






def    __lowercase (       _A     )       ->  Node | None:
      SCREAMING_SNAKE_CASE	: Tuple					       =				Node(len(_A     )     )
      SCREAMING_SNAKE_CASE       ,		SCREAMING_SNAKE_CASE	: int					       =				min(_A     ), max(_A     )
      # Leaf node case where the node contains only one unique value
      if root.minn == root.maxx:
            return root
      SCREAMING_SNAKE_CASE	: int					       =				(root.minn + root.maxx) // 2

      SCREAMING_SNAKE_CASE	: list[int]					       =				[]
      SCREAMING_SNAKE_CASE	: list[int]					       =				[]

      for index, num in enumerate(_A     ):
            if num <= pivot:
                  left_arr.append(_A     )
            else:
                  right_arr.append(_A     )
            SCREAMING_SNAKE_CASE	: int					       =				len(_A     )
      SCREAMING_SNAKE_CASE	: int					       =				build_tree(_A     )
      SCREAMING_SNAKE_CASE	: Tuple					       =				build_tree(_A     )
      return root






def    __lowercase (       _A  ,      _A  ,      _A     )       ->  int:
      if index < 0 or node is None:
            return 0
      # Leaf node cases
      if node.minn == node.maxx:
            return index + 1 if node.minn == num else 0
      SCREAMING_SNAKE_CASE	: List[str]					       =				(node.minn + node.maxx) // 2
      if num <= pivot:
            # go the left subtree and map index to the left subtree
            return rank_till_index(node.left  ,      _A  ,      node.map_left[index] - 1     )
      else:
            # go to the right subtree and map index to the right subtree
            return rank_till_index(node.right  ,      _A  ,      index - node.map_left[index]     )






def    __lowercase (       _A  ,      _A  ,      _A  ,      _A     )       ->  int:
      if start > end:
            return 0
      SCREAMING_SNAKE_CASE	: Any					       =				rank_till_index(_A  ,      _A  ,      _A     )
      SCREAMING_SNAKE_CASE	: Optional[int]					       =				rank_till_index(_A  ,      _A  ,      start - 1     )
      return rank_till_end - rank_before_start






def    __lowercase (       _A  ,      _A  ,      _A  ,      _A     )       ->  int:
      if index > (end - start) or start > end or node is None:
            return -1
      # Leaf node case
      if node.minn == node.maxx:
            return node.minn
      # Number of elements in the left subtree in interval [start, end]
      SCREAMING_SNAKE_CASE	: Tuple					       =				node.map_left[end] - (
          node.map_left[start - 1] if start else 0
      )
      if num_elements_in_left_tree > index:
            return quantile(
                node.left  ,      _A  ,      (node.map_left[start - 1] if start else 0)  ,      node.map_left[end] - 1  ,      )
      else:
            return quantile(
                node.right  ,      index - num_elements_in_left_tree  ,      start - (node.map_left[start - 1] if start else 0)  ,      end - node.map_left[end]  ,      )






def    __lowercase (       _A  ,      _A  ,      _A  ,      _A  ,      _A     )       ->  int:
      if (
          start > end
          or node is None
          or start_num > end_num
          or node.minn > end_num
          or node.maxx < start_num
      ):
            return 0
      if start_num <= node.minn and node.maxx <= end_num:
            return end - start + 1
      SCREAMING_SNAKE_CASE	: Dict					       =				range_counting(
          node.left  ,      (node.map_left[start - 1] if start else 0)  ,      node.map_left[end] - 1  ,      _A  ,      _A  ,      )
      SCREAMING_SNAKE_CASE	: List[str]					       =				range_counting(
          node.right  ,      start - (node.map_left[start - 1] if start else 0)  ,      end - node.map_left[end]  ,      _A  ,      _A  ,      )
      return left + right


if __name__ == "__main__":
  import doctest

  doctest.testmod()




