






"""simple docstring"""


from __future__ import annotations

import random
import string






class 		snake_case    :





    def __init__(				self      :   Dict							,						A      :   Tuple = None     ):


      '''simple docstring'''




      a	:     Union[str, Any]							=  passcode or self.__passcode_creator()
      a	:     Any							=  self.__make_key_list()
      a	:     Tuple							=  self.__make_shift_key()





    def __str__(				self      :   Any     ):


      '''simple docstring'''




      return "".join(self.__passcode     )





    def 							lowerCamelCase__ (				self      :   Dict							,						A      :   Dict     ):


      '''simple docstring'''




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





    def 							lowerCamelCase__ (				self      :   Optional[int]     ):


      '''simple docstring'''




      a	:     Any							=  string.ascii_letters + string.digits
      a	:     Optional[Any]							=  [random.choice(_UpperCAmelCase     ) for _ in range(random.randint(1_0							,						2_0     )     )]
      return password





    def 							lowerCamelCase__ (				self      :   Union[str, Any]     ):


      '''simple docstring'''




      a	:     Any							=  (
          string.ascii_letters + string.digits + string.punctuation + ' \t\n'
      )

      a	:     List[str]							=  []

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

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

        # 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      :   int     ):


      '''simple docstring'''




      a	:     Dict							=  sum(self.__neg_pos([ord(_UpperCAmelCase     ) for x in self.__passcode]     )     )
      return num if num > 0 else len(self.__passcode     )





    def 							lowerCamelCase__ (				self      :   List[Any]							,						A      :   Union[str, Any]     ):


      '''simple docstring'''




      a	:     List[Any]							=  ''

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

      return decoded_message





    def 							lowerCamelCase__ (				self      :   Optional[int]							,						A      :   int     ):


      '''simple docstring'''




      a	:     List[Any]							=  ''

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

      return encoded_message




def      snake_case    (A_ :str = "Hello, this is a modified Caesar cipher" ):







  '''simple docstring'''

  a	:     List[str]							=  ShuffledShiftCipher()
  return cipa.decrypt(cipa.encrypt(lowercase__ ) )


if __name__ == "__main__":
   import doctest

   doctest.testmod()








# Copyright 2023 The HuggingFace Team. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
#     http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
from typing import TYPE_CHECKING

from ...utils import (
    OptionalDependencyNotAvailable,
    _LazyModule,
    is_torch_available,
    is_vision_available,
)


snake_case__  				=			{
    'configuration_tvlt': ['TVLT_PRETRAINED_CONFIG_ARCHIVE_MAP', 'TvltConfig'],
    'feature_extraction_tvlt': ['TvltFeatureExtractor'],
    'processing_tvlt': ['TvltProcessor'],
}

try:
			if not is_torch_available():
						raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
			pass
else:
			snake_case__  				=			[
			    'TVLT_PRETRAINED_MODEL_ARCHIVE_LIST',
			    'TvltModel',
			    'TvltForPreTraining',
			    'TvltForAudioVisualClassification',
			    'TvltPreTrainedModel',
			]

try:
			if not is_vision_available():
						raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
			pass
else:
			snake_case__  				=			['TvltImageProcessor']


if TYPE_CHECKING:
			from .configuration_tvlt import TVLT_PRETRAINED_CONFIG_ARCHIVE_MAP, TvltConfig
			from .processing_tvlt import TvltProcessor
			from .feature_extraction_tvlt import TvltFeatureExtractor

			try:
						if not is_torch_available():
									raise OptionalDependencyNotAvailable()
			except OptionalDependencyNotAvailable:
						pass
			else:
						from .modeling_tvlt import (
						    TVLT_PRETRAINED_MODEL_ARCHIVE_LIST,
						    TvltForAudioVisualClassification,
						    TvltForPreTraining,
						    TvltModel,
						    TvltPreTrainedModel,
						)

			try:
						if not is_vision_available():
									raise OptionalDependencyNotAvailable()
			except OptionalDependencyNotAvailable:
						pass
			else:
						from .image_processing_tvlt import TvltImageProcessor


else:
			import sys

			snake_case__  				=			_LazyModule(__name__, globals()['__file__'], _import_structure, module_spec=__spec__)


