

from __future__ import annotations

import random
import string



class  __snake_case					:

  def __init__(   self  ,						_A = None):
      SCREAMING_SNAKE_CASE_													=  passcode or self.__passcode_creator()
      SCREAMING_SNAKE_CASE_													=  self.__make_key_list()
      SCREAMING_SNAKE_CASE_													=  self.__make_shift_key()

  def __str__(   self):
      return "".join(self.__passcode)

  def   lowerCAmelCase__       (   self  ,						_A):
      for i in range(1  ,						len(_A)  ,						2):
          iterlist[i] *= -1
      return iterlist

  def   lowerCAmelCase__       (   self):
      SCREAMING_SNAKE_CASE_													=  string.ascii_letters + string.digits
      SCREAMING_SNAKE_CASE_													=  [random.choice(_A) for _ in range(random.randint(10  ,						20))]
      return password

  def   lowerCAmelCase__       (   self):
      SCREAMING_SNAKE_CASE_													=  (
          string.ascii_letters + string.digits + string.punctuation + ' \t\n'
      )

      SCREAMING_SNAKE_CASE_													=  []

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

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

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

  def   lowerCAmelCase__       (   self  ,						_A):
      SCREAMING_SNAKE_CASE_													=  ''

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

      return decoded_message


  def   lowerCAmelCase__       (   self  ,						_A):
      SCREAMING_SNAKE_CASE_													=  ''

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

      return encoded_message






def    _UpperCAmelCase    (					_SCREAMING_SNAKE_CASE   :						str = "Hello, this is a modified Caesar cipher"    ):





    """simple docstring"""


    SCREAMING_SNAKE_CASE_													=  ShuffledShiftCipher()
    return cipa.decrypt(cipa.encrypt(_SCREAMING_SNAKE_CASE    )    )


if __name__ == "__main__":
       import doctest

       doctest.testmod()





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


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

UpperCamelCase__					: int								=      {
    "google/pegasus-x-base": "https://huggingface.co/google/pegasus-x-base/resolve/main/config.json",
    "google/pegasus-x-large": "https://huggingface.co/google/pegasus-x-large/resolve/main/config.json",
    # See all PEGASUS-X models at https://huggingface.co/models?filter=pegasus-x
}



class  __snake_case					(      lowerCAmelCase__    ):
  __lowerCAmelCase       :		List[Any]  	=					'pegasus_x'
  __lowerCAmelCase       :		Optional[int]  	=					['past_key_values']
  __lowerCAmelCase       :		List[str]  	=					{'num_attention_heads': 'encoder_attention_heads', 'hidden_size': 'd_model'}

  def __init__(   self  ,						_A=96103  ,						_A=16384  ,						_A=16  ,						_A=4096  ,						_A=16  ,						_A=16  ,						_A=4096  ,						_A=16  ,						_A=0.0  ,						_A=0.0  ,						_A=True  ,						_A=True  ,						_A="gelu"  ,						_A=1024  ,						_A=0.1  ,						_A=0.0  ,						_A=0.0  ,						_A=0.0_2  ,						_A=0  ,						_A=True  ,						_A=0  ,						_A=1  ,						_A=1  ,						_A=32  ,						_A=512  ,						_A=True  ,						**_A  ,						):
      SCREAMING_SNAKE_CASE_													=  vocab_size
      SCREAMING_SNAKE_CASE_													=  max_position_embeddings
      SCREAMING_SNAKE_CASE_													=  d_model
      SCREAMING_SNAKE_CASE_													=  encoder_ffn_dim
      SCREAMING_SNAKE_CASE_													=  encoder_layers
      SCREAMING_SNAKE_CASE_													=  encoder_attention_heads
      SCREAMING_SNAKE_CASE_													=  decoder_ffn_dim
      SCREAMING_SNAKE_CASE_													=  decoder_layers
      SCREAMING_SNAKE_CASE_													=  decoder_attention_heads
      SCREAMING_SNAKE_CASE_													=  dropout
      SCREAMING_SNAKE_CASE_													=  attention_dropout
      SCREAMING_SNAKE_CASE_													=  activation_dropout
      SCREAMING_SNAKE_CASE_													=  activation_function
      SCREAMING_SNAKE_CASE_													=  init_std
      SCREAMING_SNAKE_CASE_													=  encoder_layerdrop
      SCREAMING_SNAKE_CASE_													=  decoder_layerdrop
      SCREAMING_SNAKE_CASE_													=  use_cache
      SCREAMING_SNAKE_CASE_													=  encoder_layers
      SCREAMING_SNAKE_CASE_													=  scale_embedding  # scale factor will be sqrt(d_model) if True

      SCREAMING_SNAKE_CASE_													=  num_global_tokens
      SCREAMING_SNAKE_CASE_													=  block_size
      SCREAMING_SNAKE_CASE_													=  stagger_local_blocks

      super().__init__(
          pad_token_id=_A  ,						eos_token_id=_A  ,						is_encoder_decoder=_A  ,						decoder_start_token_id=_A  ,						forced_eos_token_id=_A  ,						**_A  ,						)

  @property
  def   lowerCAmelCase__       (   self):
      return self.encoder_attention_heads


  @property
  def   lowerCAmelCase__       (   self):
      return self.d_model


