





'''simple docstring'''






snake_case_     =	"""ABCDEFGHIJKLMNOPQRSTUVWXYZ"""
def 							_lowerCamelCase(  )		->  None:
    A       :       int							=						input('''Enter message: '''		)
    A       :       Any							=						input('''Enter key [alphanumeric]: '''		)
    A       :       List[str]							=						input('''Encrypt/Decrypt [e/d]: '''		)

    if mode.lower().startswith('''e'''		):
        A       :       int							=						'''encrypt'''
        A       :       Tuple							=						encrypt_message(UpperCamelCase__    ,       UpperCamelCase__		)
    elif mode.lower().startswith('''d'''		):
        A       :       List[Any]							=						'''decrypt'''
        A       :       List[Any]							=						decrypt_message(UpperCamelCase__    ,       UpperCamelCase__		)

    print(F'''\n{mode.title()}ed message:'''		)
    print(UpperCamelCase__		)
def 							_lowerCamelCase(  UpperCamelCase__    : str    ,       UpperCamelCase__    : str		)		->  str:
    return translate_message(UpperCamelCase__    ,       UpperCamelCase__    ,       '''encrypt'''		)
def 							_lowerCamelCase(  UpperCamelCase__    : str    ,       UpperCamelCase__    : str		)		->  str:
    return translate_message(UpperCamelCase__    ,       UpperCamelCase__    ,       '''decrypt'''		)
def 							_lowerCamelCase(  UpperCamelCase__    : str    ,       UpperCamelCase__    : str    ,       UpperCamelCase__    : str		)		->  str:
    A       :       Dict							=						[]
    A       :       List[str]							=						0
    A       :       Optional[int]							=						key.upper()

    for symbol in message:
        A       :       Optional[Any]							=						LETTERS.find(symbol.upper()		)
        if num != -1:
            if mode == "encrypt":
                num += LETTERS.find(key[key_index]		)
            elif mode == "decrypt":
                num -= LETTERS.find(key[key_index]		)

            num %= len(UpperCamelCase__		)

            if symbol.isupper():
                translated.append(LETTERS[num]		)
            elif symbol.islower():
                translated.append(LETTERS[num].lower()		)

            key_index += 1
            if key_index == len(UpperCamelCase__		):
                A       :       Dict							=						0
        else:
            translated.append(UpperCamelCase__		)
    return "".join(UpperCamelCase__		)


if __name__ == "__main__":
     main()







'''simple docstring'''






from typing import TYPE_CHECKING

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


snake_case_     =	{
    """configuration_biogpt""": ["""BIOGPT_PRETRAINED_CONFIG_ARCHIVE_MAP""", """BioGptConfig"""],
    """tokenization_biogpt""": ["""BioGptTokenizer"""],
}

try:
     if not is_torch_available():
          raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
     pass
else:
     snake_case_     =	[
         """BIOGPT_PRETRAINED_MODEL_ARCHIVE_LIST""",
         """BioGptForCausalLM""",
         """BioGptForTokenClassification""",
         """BioGptForSequenceClassification""",
         """BioGptModel""",
         """BioGptPreTrainedModel""",
     ]


if TYPE_CHECKING:
     from .configuration_biogpt import BIOGPT_PRETRAINED_CONFIG_ARCHIVE_MAP, BioGptConfig
     from .tokenization_biogpt import BioGptTokenizer

     try:
          if not is_torch_available():
               raise OptionalDependencyNotAvailable()
     except OptionalDependencyNotAvailable:
          pass
     else:
          from .modeling_biogpt import (
              BIOGPT_PRETRAINED_MODEL_ARCHIVE_LIST,
              BioGptForCausalLM,
              BioGptForSequenceClassification,
              BioGptForTokenClassification,
              BioGptModel,
              BioGptPreTrainedModel,
          )


else:
     import sys

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