


'''simple docstring'''
__snake_case				 =	'''ABCDEFGHIJKLMNOPQRSTUVWXYZ'''


def      a (     )    ->      None:



					'''simple docstring'''






					UpperCamelCase__  :Optional[Any]				   =					input('''Enter message: '''  )
					UpperCamelCase__  :Tuple				   =					input('''Enter key [alphanumeric]: '''  )
					UpperCamelCase__  :Union[str, Any]				   =					input('''Encrypt/Decrypt [e/d]: '''  )

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

					print(f'''\n{mode.title()}ed message:'''  )
					print(__a  )


def      a (     __a					,   __a  )    ->      str:



					'''simple docstring'''






					return translate_message(__a					,   __a					,   '''encrypt'''  )


def      a (     __a					,   __a  )    ->      str:



					'''simple docstring'''






					return translate_message(__a					,   __a					,   '''decrypt'''  )


def      a (     __a					,   __a					,   __a  )    ->      str:



					'''simple docstring'''






					UpperCamelCase__  :Any				   =					[]
					UpperCamelCase__  :List[str]				   =					0
					UpperCamelCase__  :List[Any]				   =					key.upper()

					for symbol in message:
										UpperCamelCase__  :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(__a  )

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

															key_index += 1
															if key_index == len(__a  ):
																				UpperCamelCase__  :Optional[Any]				   =					0
										else:
															translated.append(__a  )
					return "".join(__a  )


if __name__ == "__main__":
		main()



'''simple docstring'''
from typing import TYPE_CHECKING

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


__snake_case				 =	{
    '''configuration_gpt_neo''': ['''GPT_NEO_PRETRAINED_CONFIG_ARCHIVE_MAP''', '''GPTNeoConfig''', '''GPTNeoOnnxConfig'''],
}

try:
		if not is_torch_available():
				raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
		pass
else:
		__snake_case				 =	[
		    '''GPT_NEO_PRETRAINED_MODEL_ARCHIVE_LIST''',
		    '''GPTNeoForCausalLM''',
		    '''GPTNeoForQuestionAnswering''',
		    '''GPTNeoForSequenceClassification''',
		    '''GPTNeoForTokenClassification''',
		    '''GPTNeoModel''',
		    '''GPTNeoPreTrainedModel''',
		    '''load_tf_weights_in_gpt_neo''',
		]

try:
		if not is_flax_available():
				raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
		pass
else:
		__snake_case				 =	[
		    '''FlaxGPTNeoForCausalLM''',
		    '''FlaxGPTNeoModel''',
		    '''FlaxGPTNeoPreTrainedModel''',
		]


if TYPE_CHECKING:
		from .configuration_gpt_neo import GPT_NEO_PRETRAINED_CONFIG_ARCHIVE_MAP, GPTNeoConfig, GPTNeoOnnxConfig

		try:
				if not is_torch_available():
						raise OptionalDependencyNotAvailable()
		except OptionalDependencyNotAvailable:
				pass
		else:
				from .modeling_gpt_neo import (
				    GPT_NEO_PRETRAINED_MODEL_ARCHIVE_LIST,
				    GPTNeoForCausalLM,
				    GPTNeoForQuestionAnswering,
				    GPTNeoForSequenceClassification,
				    GPTNeoForTokenClassification,
				    GPTNeoModel,
				    GPTNeoPreTrainedModel,
				    load_tf_weights_in_gpt_neo,
				)

		try:
				if not is_flax_available():
						raise OptionalDependencyNotAvailable()
		except OptionalDependencyNotAvailable:
				pass
		else:
				from .modeling_flax_gpt_neo import FlaxGPTNeoForCausalLM, FlaxGPTNeoModel, FlaxGPTNeoPreTrainedModel


else:
		import sys

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