


def 		lowercase_(  SCREAMING_SNAKE_CASE_	):


  '''simple docstring'''

  lowerCamelCase :					int    =				""
  for ch in key:
    if ch == " " or ch not in key_no_dups and ch.isalpha():
      key_no_dups += ch
  return key_no_dups






def 		lowercase_(  SCREAMING_SNAKE_CASE_	):


  '''simple docstring'''

  lowerCamelCase :					Tuple    =				[chr(i + 65	) for i in range(26	)]
  # Remove duplicate characters from key
  lowerCamelCase :					int    =				remove_duplicates(key.upper()	)
  lowerCamelCase :					str    =				len(SCREAMING_SNAKE_CASE_	)
  # First fill cipher with key characters
  lowerCamelCase :					List[str]    =				{alphabet[i]: char for i, char in enumerate(SCREAMING_SNAKE_CASE_	)}
  # Then map remaining characters in alphabet to
  # the alphabet from the beginning
  for i in range(len(SCREAMING_SNAKE_CASE_	)      ,						26	):
    lowerCamelCase :					List[Any]    =				alphabet[i - offset]
    # Ensure we are not mapping letters to letters previously mapped
    while char in key:
      offset -= 1
      lowerCamelCase :					str    =				alphabet[i - offset]
    lowerCamelCase :					Tuple    =				char
  return cipher_alphabet






def 		lowercase_(  SCREAMING_SNAKE_CASE_      ,						SCREAMING_SNAKE_CASE_	):


  '''simple docstring'''

  return "".join(cipher_map.get(SCREAMING_SNAKE_CASE_      ,						SCREAMING_SNAKE_CASE_	) for ch in message.upper()	)






def 		lowercase_(  SCREAMING_SNAKE_CASE_      ,						SCREAMING_SNAKE_CASE_	):


  '''simple docstring'''

  lowerCamelCase :					List[str]    =				{v: k for k, v in cipher_map.items()}
  return "".join(rev_cipher_map.get(SCREAMING_SNAKE_CASE_      ,						SCREAMING_SNAKE_CASE_	) for ch in message.upper()	)






def 		lowercase_(  ):


  '''simple docstring'''

  lowerCamelCase :					Union[str, Any]    =				input("Enter message to encode or decode: "	).strip()
  lowerCamelCase :					Optional[Any]    =				input("Enter keyword: "	).strip()
  lowerCamelCase :					List[str]    =				input("Encipher or decipher? E/D:"	).strip()[0].lower()
  try:
    lowerCamelCase :					Optional[Any]    =				{"e": encipher, "d": decipher}[option]
  except KeyError:
    raise KeyError("invalid input option"	)
  lowerCamelCase :					str    =				create_cipher_map(SCREAMING_SNAKE_CASE_	)
  print(func(SCREAMING_SNAKE_CASE_      ,						SCREAMING_SNAKE_CASE_	)	)


if __name__ == "__main__":
   import doctest

   doctest.testmod()
   main()




from typing import TYPE_CHECKING

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


__a  :     Any       =  {
    """configuration_bloom""": ["""BLOOM_PRETRAINED_CONFIG_ARCHIVE_MAP""", """BloomConfig""", """BloomOnnxConfig"""],
}
try:
		if not is_tokenizers_available():
				raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
		pass
else:
		__a  :     Optional[int]       =  ["""BloomTokenizerFast"""]

try:
		if not is_torch_available():
				raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
		pass
else:
		__a  :     str       =  [
		    """BLOOM_PRETRAINED_MODEL_ARCHIVE_LIST""",
		    """BloomForCausalLM""",
		    """BloomModel""",
		    """BloomPreTrainedModel""",
		    """BloomForSequenceClassification""",
		    """BloomForTokenClassification""",
		    """BloomForQuestionAnswering""",
		]

if TYPE_CHECKING:
		from .configuration_bloom import BLOOM_PRETRAINED_CONFIG_ARCHIVE_MAP, BloomConfig, BloomOnnxConfig

		try:
				if not is_tokenizers_available():
						raise OptionalDependencyNotAvailable()
		except OptionalDependencyNotAvailable:
				pass
		else:
				from .tokenization_bloom_fast import BloomTokenizerFast

		try:
				if not is_torch_available():
						raise OptionalDependencyNotAvailable()
		except OptionalDependencyNotAvailable:
				pass
		else:
				from .modeling_bloom import (
				    BLOOM_PRETRAINED_MODEL_ARCHIVE_LIST,
				    BloomForCausalLM,
				    BloomForQuestionAnswering,
				    BloomForSequenceClassification,
				    BloomForTokenClassification,
				    BloomModel,
				    BloomPreTrainedModel,
				)

else:
		import sys

		__a  :     Dict       =  _LazyModule(__name__, globals()["""__file__"""], _import_structure, module_spec=__spec__)