from __future__ import annotations

import random
import string
class        a_				:






 '''simple docstring'''






 def __init__(    self      :						Tuple    ,					lowercase__      :						str | None = None):







        '''simple docstring'''



        lowerCAmelCase__  			=      passcode or self.__passcode_creator()
        lowerCAmelCase__  			=      self.__make_key_list()
        lowerCAmelCase__  			=      self.__make_shift_key()




 def __str__(    self      :						Tuple):







        '''simple docstring'''



        return "".join(self.__passcode)




 def 	__snake_case		(    self      :						str    ,					lowercase__      :						list[int]):







        '''simple docstring'''



        for i in range(1    ,					len(lowercase__)    ,					2):
               iterlist[i] *= -1
        return iterlist




 def 	__snake_case		(    self      :						List[Any]):







        '''simple docstring'''



        lowerCAmelCase__  			=      string.ascii_letters + string.digits
        lowerCAmelCase__  			=      [random.choice(lowercase__) for _ in range(random.randint(10    ,					20))]
        return password




 def 	__snake_case		(    self      :						Tuple):







        '''simple docstring'''



        lowerCAmelCase__  			=      (
            string.ascii_letters + string.digits + string.punctuation + ' \t\n'
        )

        lowerCAmelCase__  			=      []

        # creates points known as breakpoints to break the key_list_options at those
        # points and pivot each substring
        lowerCAmelCase__  			=      sorted(set(self.__passcode))
        lowerCAmelCase__  			=      []

        # algorithm for creating a new shuffled list, keys_l, out of key_list_options
        for i in key_list_options:
               temp_list.extend(lowercase__)

               # checking breakpoints at which to pivot temporary sublist and add it into
               # keys_l
               if i in breakpoints or i == key_list_options[-1]:
                      keys_l.extend(temp_list[::-1])
                      temp_list.clear()

        # returning a shuffled keys_l to prevent brute force guessing of shift key
        return keys_l




 def 	__snake_case		(    self      :						Optional[Any]):







        '''simple docstring'''



        lowerCAmelCase__  			=      sum(self.__neg_pos([ord(lowercase__) for x in self.__passcode]))
        return num if num > 0 else len(self.__passcode)




 def 	__snake_case		(    self      :						List[str]    ,					lowercase__      :						str):







        '''simple docstring'''



        lowerCAmelCase__  			=      ''

        # decoding shift like Caesar cipher algorithm implementing negative shift or
        # reverse shift or left shift
        for i in encoded_message:
               lowerCAmelCase__  			=      self.__key_list.index(lowercase__)
               decoded_message += self.__key_list[
                   (position - self.__shift_key) % -len(self.__key_list)
               ]

        return decoded_message




 def 	__snake_case		(    self      :						Optional[Any]    ,					lowercase__      :						str):







        '''simple docstring'''



        lowerCAmelCase__  			=      ''

        # encoding shift like Caesar cipher algorithm implementing positive shift or
        # forward shift or right shift
        for i in plaintext:
               lowerCAmelCase__  			=      self.__key_list.index(lowercase__)
               encoded_message += self.__key_list[
                   (position + self.__shift_key) % len(self.__key_list)
               ]

        return encoded_message






def    __lowerCamelCase	(		lowerCAmelCase__ = "Hello, this is a modified Caesar cipher"			):
       lowerCAmelCase__  			=      ShuffledShiftCipher()
       return cipa.decrypt(cipa.encrypt(lowerCAmelCase__			)			)


if __name__ == "__main__":
    import doctest

    doctest.testmod()

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
