import numpy as np






def    __lowerCamelCase	(		lowerCAmelCase__			,						lowerCAmelCase__="utf-8"			,						lowerCAmelCase__="surrogatepass"			):
							lowerCAmelCase__  			=      bin(int.from_bytes(text.encode(lowerCAmelCase__			,						lowerCAmelCase__			)			,						'big'			)			)[2:]
							return bits.zfill(8 * ((len(lowerCAmelCase__			) + 7) // 8)			)






def    __lowerCamelCase	(		lowerCAmelCase__			,						lowerCAmelCase__="utf-8"			,						lowerCAmelCase__="surrogatepass"			):
							lowerCAmelCase__  			=      int(lowerCAmelCase__			,						2			)
							return n.to_bytes((n.bit_length() + 7) // 8			,						'big'			).decode(lowerCAmelCase__			,						lowerCAmelCase__			) or "\0"






def    __lowerCamelCase	(		lowerCAmelCase__			,						lowerCAmelCase__			):
							if size_par + len(lowerCAmelCase__			) <= 2**size_par - (len(lowerCAmelCase__			) - 1):
														raise ValueError('size of parity don\'t match with size of data'			)

							lowerCAmelCase__  			=      []
							lowerCAmelCase__  			=      []
							lowerCAmelCase__  			=      [bin(lowerCAmelCase__			)[2:] for x in range(1			,						size_par + len(lowerCAmelCase__			) + 1			)]

							# sorted information data for the size of the output data
							lowerCAmelCase__  			=      []
							# data position template + parity
							lowerCAmelCase__  			=      []
							# parity bit counter
							lowerCAmelCase__  			=      0
							# counter position of data bits
							lowerCAmelCase__  			=      0

							for x in range(1			,						size_par + len(lowerCAmelCase__			) + 1			):
														# Performs a template of bit positions - who should be given,
														# and who should be parity
														if qtd_bp < size_par:
																					if (np.log(lowerCAmelCase__			) / np.log(2			)).is_integer():
																												data_out_gab.append('P'			)
																												lowerCAmelCase__  			=      qtd_bp + 1
																					else:
																												data_out_gab.append('D'			)
														else:
																					data_out_gab.append('D'			)

														# Sorts the data to the new output size
														if data_out_gab[-1] == "D":
																					data_ord.append(data[cont_data]			)
																					cont_data += 1
														else:
																					data_ord.append(lowerCAmelCase__			)

    # Calculates parity
							lowerCAmelCase__  			=      0  # parity bit counter
							for bp in range(1			,						size_par + 1			):
														# Bit counter one for a given parity
														lowerCAmelCase__  			=      0
														# counter to control the loop reading
														lowerCAmelCase__  			=      0
														for x in data_ord:
																					if x is not None:
																												try:
																																			lowerCAmelCase__  			=      (bin_pos[cont_loop])[-1 * (bp)]
																												except IndexError:
																																			lowerCAmelCase__  			=      '0'
																												if aux == "1" and x == "1":
																																			cont_bo += 1
																					cont_loop += 1
														parity.append(cont_bo % 2			)

														qtd_bp += 1

							# Mount the message
							lowerCAmelCase__  			=      0  # parity bit counter
							for x in range(0			,						size_par + len(lowerCAmelCase__			)			):
														if data_ord[x] is None:
																					data_out.append(str(parity[cont_bp]			)			)
																					cont_bp += 1
														else:
																					data_out.append(data_ord[x]			)

							return data_out






def    __lowerCamelCase	(		lowerCAmelCase__			,						lowerCAmelCase__			):
							lowerCAmelCase__  			=      []
							# Parity bit counter
							lowerCAmelCase__  			=      0
							# Counter p data bit reading
							lowerCAmelCase__  			=      0
							# list of parity received
							lowerCAmelCase__  			=      []
							lowerCAmelCase__  			=      []

							for x in range(1			,						len(lowerCAmelCase__			) + 1			):
														# Performs a template of bit positions - who should be given,
														#  and who should be parity
														if qtd_bp < size_par and (np.log(lowerCAmelCase__			) / np.log(2			)).is_integer():
																					data_out_gab.append('P'			)
																					lowerCAmelCase__  			=      qtd_bp + 1
														else:
																					data_out_gab.append('D'			)

														# Sorts the data to the new output size
														if data_out_gab[-1] == "D":
																					data_output.append(data[cont_data]			)
														else:
																					parity_received.append(data[cont_data]			)
														cont_data += 1

							# -----------calculates the parity with the data
							lowerCAmelCase__  			=      []
							lowerCAmelCase__  			=      []
							lowerCAmelCase__  			=      [bin(lowerCAmelCase__			)[2:] for x in range(1			,						size_par + len(lowerCAmelCase__			) + 1			)]

							#  sorted information data for the size of the output data
							lowerCAmelCase__  			=      []
							# Data position feedback + parity
							lowerCAmelCase__  			=      []
							# Parity bit counter
							lowerCAmelCase__  			=      0
							# Counter p data bit reading
							lowerCAmelCase__  			=      0

							for x in range(1			,						size_par + len(lowerCAmelCase__			) + 1			):
														# Performs a template position of bits - who should be given,
														# and who should be parity
														if qtd_bp < size_par and (np.log(lowerCAmelCase__			) / np.log(2			)).is_integer():
																					data_out_gab.append('P'			)
																					lowerCAmelCase__  			=      qtd_bp + 1
														else:
																					data_out_gab.append('D'			)

														# Sorts the data to the new output size
														if data_out_gab[-1] == "D":
																					data_ord.append(data_output[cont_data]			)
																					cont_data += 1
														else:
																					data_ord.append(lowerCAmelCase__			)

    # Calculates parity
							lowerCAmelCase__  			=      0  # parity bit counter
							for bp in range(1			,						size_par + 1			):
														# Bit counter one for a certain parity
														lowerCAmelCase__  			=      0
														# Counter to control loop reading
														lowerCAmelCase__  			=      0
														for x in data_ord:
																					if x is not None:
																												try:
																																			lowerCAmelCase__  			=      (bin_pos[cont_loop])[-1 * (bp)]
																												except IndexError:
																																			lowerCAmelCase__  			=      '0'
																												if aux == "1" and x == "1":
																																			cont_bo += 1
																					cont_loop += 1
														parity.append(str(cont_bo % 2			)			)

														qtd_bp += 1

							# Mount the message
							lowerCAmelCase__  			=      0  # Parity bit counter
							for x in range(0			,						size_par + len(lowerCAmelCase__			)			):
														if data_ord[x] is None:
																					data_out.append(str(parity[cont_bp]			)			)
																					cont_bp += 1
														else:
																					data_out.append(data_ord[x]			)

							lowerCAmelCase__  			=      parity_received == parity
							return data_output, ack

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


lowerCAmelCase__					=				logging.get_logger(__name__)

lowerCAmelCase__					=				{
    'ZinengTang/tvlt-base': 'https://huggingface.co/ZinengTang/tvlt-base/blob/main/config.json',
}
class        a_				(		SCREAMING_SNAKE_CASE		):






 '''simple docstring'''






 UpperCAmelCase_							=      'tvlt'




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







        '''simple docstring'''



        super().__init__(**lowercase__)

        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}""")

        lowerCAmelCase__  			=      image_size
        lowerCAmelCase__  			=      spectrogram_length
        lowerCAmelCase__  			=      frequency_length
        lowerCAmelCase__  			=      image_patch_size
        lowerCAmelCase__  			=      audio_patch_size
        lowerCAmelCase__  			=      num_image_channels
        lowerCAmelCase__  			=      num_audio_channels
        lowerCAmelCase__  			=      num_frames

        lowerCAmelCase__  			=      hidden_size
        lowerCAmelCase__  			=      num_hidden_layers
        lowerCAmelCase__  			=      num_attention_heads
        lowerCAmelCase__  			=      intermediate_size
        lowerCAmelCase__  			=      hidden_act
        lowerCAmelCase__  			=      hidden_dropout_prob
        lowerCAmelCase__  			=      attention_probs_dropout_prob
        lowerCAmelCase__  			=      initializer_range
        lowerCAmelCase__  			=      layer_norm_eps
        lowerCAmelCase__  			=      qkv_bias
        lowerCAmelCase__  			=      use_mean_pooling

        lowerCAmelCase__  			=      decoder_num_attention_heads
        lowerCAmelCase__  			=      decoder_hidden_size
        lowerCAmelCase__  			=      decoder_num_hidden_layers
        lowerCAmelCase__  			=      decoder_intermediate_size
        lowerCAmelCase__  			=      pixel_mask_ratio
        lowerCAmelCase__  			=      audio_mask_ratio
        lowerCAmelCase__  			=      audio_mask_type

        lowerCAmelCase__  			=      task_matching
        lowerCAmelCase__  			=      task_mae
        lowerCAmelCase__  			=      loss_type
