





"""simple docstring"""
# Lint as: python3

import hashlib
from typing import Union






def  A__    (      UpperCamelCase	):
							if isinstance(snake_case__ ,  snake_case__	):
														# Data already in bytes, returns as it as
														return hash_data
							elif isinstance(snake_case__ ,  snake_case__	):
														# We keep the data as it as for it ot be later encoded to UTF-8
														# However replace `\\` with `/` for Windows compatibility
														A		=  hash_data.replace("\\" ,  "/"	)
							elif isinstance(snake_case__ ,  snake_case__	):
														A		=  str(snake_case__	)
							else:
														# If data is not of the required type, raise error
														raise InvalidKeyError(snake_case__	)

							return hash_data.encode("utf-8"	)






class  _UpperCAmelCase      (     UpperCamelCase_			):


					def __init__( self      :int					,	__UpperCamelCase      :int		):
												A		=  "\nFAILURE TO GENERATE DATASET: Invalid key type detected"
												A		=  f"\nFound Key {hash_data} of type {type(__SCREAMING_SNAKE_CASE		)}"
												A		=  "\nKeys should be either str, int or bytes type"
												super().__init__(f"{self.prefix}{self.err_msg}{self.suffix}"		)







class  _UpperCAmelCase      (     UpperCamelCase_			):


					def __init__( self      :Optional[int]					,	__UpperCamelCase      :Union[str, Any]					,	__UpperCamelCase      :List[str]					,	__UpperCamelCase      :str=""		):
												A		=  key
												A		=  duplicate_key_indices
												A		=  fix_msg
												A		=  "Found multiple examples generated with the same key"
												if len(__SCREAMING_SNAKE_CASE		) <= 20:
																			A		=  f"\nThe examples at index {', '.join(__SCREAMING_SNAKE_CASE		)} have the key {key}"
												else:
																			A		=  f"\nThe examples at index {', '.join(duplicate_key_indices[:20]		)}... ({len(__SCREAMING_SNAKE_CASE		) - 20} more) have the key {key}"
												A		=  "\n" + fix_msg if fix_msg else ""
												super().__init__(f"{self.prefix}{self.err_msg}{self.suffix}"		)







class  _UpperCAmelCase      :


					def __init__( self      :Dict					,	__UpperCamelCase      :Union[str, Any]		):
												A		=  hashlib.mda(_as_bytes(__SCREAMING_SNAKE_CASE		)		)


					def      lowerCamelCase	( self      :Union[str, Any]					,	__UpperCamelCase      :Any		):
												A		=  self._split_mda.copy()
												A		=  _as_bytes(__SCREAMING_SNAKE_CASE		)
												mda.update(__SCREAMING_SNAKE_CASE		)
												# Convert to integer with hexadecimal conversion
												return int(mda.hexdigest()					,	16		)









"""simple docstring"""
from ...configuration_utils import PretrainedConfig
from ...utils import logging


_snake_case					:		Optional[int]							=			logging.get_logger(__name__)

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






class  _UpperCAmelCase       (     lowercase_			):
					UpperCamelCase								=							'''tvlt'''


					def __init__( self      :Dict					,	__UpperCamelCase      :Tuple=2_24					,	__UpperCamelCase      :Dict=20_48					,	__UpperCamelCase      :Optional[Any]=1_28					,	__UpperCamelCase      :Optional[int]=[16, 16]					,	__UpperCamelCase      :Any=[16, 16]					,	__UpperCamelCase      :List[str]=3					,	__UpperCamelCase      :str=1					,	__UpperCamelCase      :List[str]=8					,	__UpperCamelCase      :str=7_68					,	__UpperCamelCase      :List[str]=12					,	__UpperCamelCase      :Tuple=12					,	__UpperCamelCase      :Union[str, Any]=30_72					,	__UpperCamelCase      :List[Any]="gelu"					,	__UpperCamelCase      :List[str]=0.0					,	__UpperCamelCase      :Union[str, Any]=0.0					,	__UpperCamelCase      :List[str]=0.02					,	__UpperCamelCase      :Dict=1e-6					,	__UpperCamelCase      :Any=True					,	__UpperCamelCase      :List[str]=False					,	__UpperCamelCase      :str=16					,	__UpperCamelCase      :List[str]=5_12					,	__UpperCamelCase      :int=8					,	__UpperCamelCase      :int=20_48					,	__UpperCamelCase      :int=0.75					,	__UpperCamelCase      :Tuple=0.15					,	__UpperCamelCase      :Optional[Any]="frame-level"					,	__UpperCamelCase      :int=True					,	__UpperCamelCase      :str=True					,	__UpperCamelCase      :Tuple="classification"					,	**__UpperCamelCase      :Any					,	):
												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


