
"""simple docstring"""




from __future__ import annotations

import random
import string

class 		a__						:
			def __init__(      self     ,   _a = None    ):
										lowercase   :    Union[str, Any]			=							passcode or self.__passcode_creator()
										lowercase   :    List[Any]			=							self.__make_key_list()
										lowercase   :    Dict			=							self.__make_shift_key()
			def __str__(      self    ):
										return "".join(self.__passcode    )
			def       __magic_name__      (      self     ,   _a    ):







										for i in range(1     ,   len(lowercase__    )     ,   2    ):
																	iterlist[i] *= -1
										return iterlist
			def       __magic_name__      (      self    ):
										lowercase   :    Dict			=							string.ascii_letters + string.digits
										lowercase   :    List[str]			=							[random.choice(lowercase__    ) for _ in range(random.randint(10     ,   20    )    )]
										return password
			def       __magic_name__      (      self    ):
										lowercase   :    str			=							(
										    string.ascii_letters + string.digits + string.punctuation + " \t\n"
										)

										lowercase   :    Dict			=							[]

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

										# 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       __magic_name__      (      self    ):
										lowercase   :    Optional[Any]			=							sum(self.__neg_pos([ord(lowercase__    ) for x in self.__passcode]    )    )
										return num if num > 0 else len(self.__passcode    )
			def       __magic_name__      (      self     ,   _a    ):
										lowercase   :    List[str]			=							""

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

										return decoded_message

			def       __magic_name__      (      self     ,   _a    ):
										lowercase   :    int			=							""

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

										return encoded_message


def   __magic_name__     (				__snake_case    :	int = "Hello, this is a modified Caesar cipher"  )			->    int:
							lowercase   :    Optional[Any]			=							ShuffledShiftCipher()
							return cipa.decrypt(cipa.encrypt(SCREAMING_SNAKE_CASE_  )  )


if __name__ == "__main__":
			import doctest

			doctest.testmod()




"""simple docstring"""




import warnings

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


_A      :	List[str]       		=	logging.get_logger(__name__)

class 		a__						(				a_						):
   def __init__(      self     ,   *_a     ,   **_a    ):
          warnings.warn(
              "The class ConvNextFeatureExtractor is deprecated and will be removed in version 5 of Transformers."
              " Please use ConvNextImageProcessor instead."     ,   _a     ,   )
          super().__init__(*_a     ,   **_a    )


