"""simple docstring"""


from __future__ import annotations

import random
import string
class   UpperCAmelCase_	:
    def __init__(	self			:       Union[str, Any]   ,						_lowercase			:       str | None = None		)						->    None:
       _lowercase							     =       passcode or self.__passcode_creator()
       _lowercase							     =       self.__make_key_list()
       _lowercase							     =       self.__make_shift_key()
    def __str__(	self			:       List[str]		)						->    str:
       return "".join(self.__passcode		)
    def 		_lowerCamelCase      (	self			:       Optional[int]   ,						_lowercase			:       list[int]		)						->    list[int]:
       for i in range(1   ,						len(_lowercase		)   ,						2		):
          iterlist[i] *= -1
       return iterlist
    def 		_lowerCamelCase      (	self			:       Optional[Any]		)						->    list[str]:
       _lowercase							     =       string.ascii_letters + string.digits
       _lowercase							     =       [random.choice(_lowercase		) for _ in range(random.randint(1_0   ,						2_0		)		)]
       return password
    def 		_lowerCamelCase      (	self			:       List[str]		)						->    list[str]:
       _lowercase							     =       (
           string.ascii_letters + string.digits + string.punctuation + " \t\n"
       )

       _lowercase							     =       []

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

       # 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 		_lowerCamelCase      (	self			:       Tuple		)						->    int:
       _lowercase							     =       sum(self.__neg_pos([ord(_lowercase		) for x in self.__passcode]		)		)
       return num if num > 0 else len(self.__passcode		)
    def 		_lowerCamelCase      (	self			:       Optional[int]   ,						_lowercase			:       str		)						->    str:
       _lowercase							     =       ""

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

       return decoded_message




    def 		_lowerCamelCase      (	self			:       int   ,						_lowercase			:       str		)						->    str:
       _lowercase							     =       ""

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

       return encoded_message


def   __UpperCAmelCase     (	_snake_case		:       str = "Hello, this is a modified Caesar cipher"       ):
   _lowercase							     =       ShuffledShiftCipher()
   return cipa.decrypt(cipa.encrypt(_snake_case       )       )


if __name__ == "__main__":
  import doctest

  doctest.testmod()
"""simple docstring"""


import warnings

from ...utils import logging
from .image_processing_convnext import ConvNextImageProcessor


__UpperCamelCase       :    str         =		logging.get_logger(__name__)
class   UpperCAmelCase_	(				lowercase__   ):
    def __init__(	self			:       List[Any]   ,						*_lowercase			:       Optional[Any]   ,						**_lowercase			:       str		)						->    None:
       warnings.warn(
           "The class ConvNextFeatureExtractor is deprecated and will be removed in version 5 of Transformers."
           " Please use ConvNextImageProcessor instead."   ,						_lowercase   ,						)
       super().__init__(*_lowercase   ,						**_lowercase		)