



'''simple docstring'''



from __future__ import annotations

from string import ascii_letters


def 							__UpperCAmelCase				(				UpperCamelCase__				:str   ,				UpperCamelCase__				:int   ,				UpperCamelCase__				:str | None = None			)		->						str:
				snake_case__      :   Dict      =    alphabet or ascii_letters

				# The final result string
				snake_case__      :   Dict      =    ''''''

				for character in input_string:
								if character not in alpha:
												# Append without encryption if character is not in the alphabet
												result += character
								else:
												# Get the index of the new key and make sure it isn't too large
												snake_case__      :   List[str]      =    (alpha.index(UpperCamelCase__			) + key) % len(UpperCamelCase__			)

												# Append the encoded character to the alphabet
												result += alpha[new_key]

				return result


def 							__UpperCAmelCase				(				UpperCamelCase__				:str   ,				UpperCamelCase__				:int   ,				UpperCamelCase__				:str | None = None			)		->						str:
				key *= -1

				return encrypt(UpperCamelCase__   ,				UpperCamelCase__   ,				UpperCamelCase__			)


def 							__UpperCAmelCase				(				UpperCamelCase__				:str   ,				UpperCamelCase__				:str | None = None			)		->						dict[int, str]:
				snake_case__      :   str      =    alphabet or ascii_letters

				# To store data on all the combinations
				snake_case__      :   Optional[int]      =    {}

				# Cycle through each combination
				for key in range(1   ,				len(UpperCamelCase__			) + 1			):
								# Decrypt the message and store the result in the data
								snake_case__      :   str      =    decrypt(UpperCamelCase__   ,				UpperCamelCase__   ,				UpperCamelCase__			)

				return brute_force_data


if __name__ == "__main__":
				while True:
								print(F"\n{'-' * 10}\n Menu\n{'-' * 10}")
								print(*["1.Encrypt", "2.Decrypt", "3.BruteForce", "4.Quit"], sep="\n")

								# get user input
								_lowercase       :						Optional[Any]						=input("\nWhat would you like to do?: ").strip() or "4"

								# run functions based on what the user chose
								if choice not in ("1", "2", "3", "4"):
												print("Invalid choice, please enter a valid choice")
								elif choice == "1":
												_lowercase       :						List[str]						=input("Please enter the string to be encrypted: ")
												_lowercase       :						Tuple						=int(input("Please enter off-set: ").strip())

												print(encrypt(input_string, key))
								elif choice == "2":
												_lowercase       :						Dict						=input("Please enter the string to be decrypted: ")
												_lowercase       :						int						=int(input("Please enter off-set: ").strip())

												print(decrypt(input_string, key))
								elif choice == "3":
												_lowercase       :						Tuple						=input("Please enter the string to be decrypted: ")
												_lowercase       :						List[Any]						=brute_force(input_string)

												for key, value in brute_force_data.items():
																print(F"Key: {key} | Message: {value}")

								elif choice == "4":
												print("Goodbye.")
												break





"""simple docstring"""


from typing import TYPE_CHECKING

from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_tokenizers_available, is_torch_available


__A       			=      {
    """configuration_realm""": ["""REALM_PRETRAINED_CONFIG_ARCHIVE_MAP""", """RealmConfig"""],
    """tokenization_realm""": ["""RealmTokenizer"""],
}

try:
 if not is_tokenizers_available():
  raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
 pass
else:
 __A       			=      ["""RealmTokenizerFast"""]

try:
 if not is_torch_available():
  raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
 pass
else:
 __A       			=      [
     """REALM_PRETRAINED_MODEL_ARCHIVE_LIST""",
     """RealmEmbedder""",
     """RealmForOpenQA""",
     """RealmKnowledgeAugEncoder""",
     """RealmPreTrainedModel""",
     """RealmReader""",
     """RealmScorer""",
     """load_tf_weights_in_realm""",
 ]
 __A       			=      ["""RealmRetriever"""]


if TYPE_CHECKING:
 from .configuration_realm import REALM_PRETRAINED_CONFIG_ARCHIVE_MAP, RealmConfig
 from .tokenization_realm import RealmTokenizer

 try:
  if not is_tokenizers_available():
   raise OptionalDependencyNotAvailable()
 except OptionalDependencyNotAvailable:
  pass
 else:
  from .tokenization_realm import RealmTokenizerFast

 try:
  if not is_torch_available():
   raise OptionalDependencyNotAvailable()
 except OptionalDependencyNotAvailable:
  pass
 else:
  from .modeling_realm import (
      REALM_PRETRAINED_MODEL_ARCHIVE_LIST,
      RealmEmbedder,
      RealmForOpenQA,
      RealmKnowledgeAugEncoder,
      RealmPreTrainedModel,
      RealmReader,
      RealmScorer,
      load_tf_weights_in_realm,
  )
  from .retrieval_realm import RealmRetriever


else:
 import sys

 __A       			=      _LazyModule(__name__, globals()["""__file__"""], _import_structure, module_spec=__spec__)
