




a													=			"ABCDEFGHIJKLMNOPQRSTUVWXYZ"




def        _SCREAMING_SNAKE_CASE      (		)						->				None:
						_UpperCAmelCase      =			input("""Enter message: """       )
						_UpperCAmelCase      =			input("""Enter key [alphanumeric]: """       )
						_UpperCAmelCase      =			input("""Encrypt/Decrypt [e/d]: """       )

						if mode.lower().startswith("""e"""       ):
												_UpperCAmelCase      =			"""encrypt"""
												_UpperCAmelCase      =			encrypt_message(snake_case			,     snake_case       )
						elif mode.lower().startswith("""d"""       ):
												_UpperCAmelCase      =			"""decrypt"""
												_UpperCAmelCase      =			decrypt_message(snake_case			,     snake_case       )

						print(f"\n{mode.title()}ed message:"       )
						print(snake_case       )




def        _SCREAMING_SNAKE_CASE      (		snake_case			,     snake_case       )						->				str:
						return translate_message(snake_case			,     snake_case			,     """encrypt"""       )




def        _SCREAMING_SNAKE_CASE      (		snake_case			,     snake_case       )						->				str:
						return translate_message(snake_case			,     snake_case			,     """decrypt"""       )




def        _SCREAMING_SNAKE_CASE      (		snake_case			,     snake_case			,     snake_case       )						->				str:
						_UpperCAmelCase      =			[]
						_UpperCAmelCase      =			0
						_UpperCAmelCase      =			key.upper()

						for symbol in message:
												_UpperCAmelCase      =			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(snake_case       )

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

																		key_index += 1
																		if key_index == len(snake_case       ):
																								_UpperCAmelCase      =			0
												else:
																		translated.append(snake_case       )
						return "".join(snake_case       )


if __name__ == "__main__":
				main()





from typing import Dict

from .base import GenericTensor, Pipeline




class       _A				(		__lowercase     ):






		def 				UpperCAmelCase (    self						,		_SCREAMING_SNAKE_CASE=None						,		_SCREAMING_SNAKE_CASE=None						,		_SCREAMING_SNAKE_CASE=None						,		**_SCREAMING_SNAKE_CASE			):
								if tokenize_kwargs is None:
														_UpperCAmelCase      =			{}

								if truncation is not None:
														if "truncation" in tokenize_kwargs:
																				raise ValueError(
																				    """truncation parameter defined twice (given as keyword argument as well as in tokenize_kwargs)"""			)
														_UpperCAmelCase      =			truncation

								_UpperCAmelCase      =			tokenize_kwargs

								_UpperCAmelCase      =			{}
								if return_tensors is not None:
														_UpperCAmelCase      =			return_tensors

								return preprocess_params, {}, postprocess_params






		def 				UpperCAmelCase (    self						,		_SCREAMING_SNAKE_CASE						,		**_SCREAMING_SNAKE_CASE			):
								_UpperCAmelCase      =			self.framework
								_UpperCAmelCase      =			self.tokenizer(_SCREAMING_SNAKE_CASE						,		return_tensors=_SCREAMING_SNAKE_CASE						,		**_SCREAMING_SNAKE_CASE			)
								return model_inputs






		def 				UpperCAmelCase (    self						,		_SCREAMING_SNAKE_CASE			):
								_UpperCAmelCase      =			self.model(**_SCREAMING_SNAKE_CASE			)
								return model_outputs






		def 				UpperCAmelCase (    self						,		_SCREAMING_SNAKE_CASE						,		_SCREAMING_SNAKE_CASE=False			):
								# [0] is the first available tensor, logits or last_hidden_state.
								if return_tensors:
														return model_outputs[0]
								if self.framework == "pt":
														return model_outputs[0].tolist()
								elif self.framework == "tf":
														return model_outputs[0].numpy().tolist()






		def __call__(    self						,		*_SCREAMING_SNAKE_CASE						,		**_SCREAMING_SNAKE_CASE			):
								return super().__call__(*_SCREAMING_SNAKE_CASE						,		**_SCREAMING_SNAKE_CASE			)