

'''simple docstring'''






import torch

from transformers import CamembertForMaskedLM, CamembertTokenizer


def 						_A	(       A__	,							A__	,							A__	,							A__=5 ):






 """simple docstring"""



 assert masked_input.count('''<mask>''' ) == 1
 __lowercase				    =					torch.tensor(tokenizer.encode(A__	,							add_special_tokens=A__ ) ).unsqueeze(0 )  # Batch size 1
 __lowercase				    =					model(A__ )[0]  # The last hidden-state is the first element of the output tuple
 __lowercase				    =					(input_ids.squeeze() == tokenizer.mask_token_id).nonzero().item()
 __lowercase				    =					logits[0, masked_index, :]
 __lowercase				    =					logits.softmax(dim=0 )
 __lowercase    ,      __lowercase				    =					prob.topk(k=A__	,							dim=0 )
 __lowercase				    =					''' '''.join(
     [tokenizer.convert_ids_to_tokens(indices[i].item() ) for i in range(len(A__ ) )] )
 __lowercase				    =					tokenizer.mask_token
 __lowercase				    =					[]
 for index, predicted_token_bpe in enumerate(topk_predicted_token_bpe.split(''' ''' ) ):
  __lowercase				    =					predicted_token_bpe.replace('''\u2581'''	,							''' ''' )
  if " {0}".format(A__ ) in masked_input:
   topk_filled_outputs.append(
       (
           masked_input.replace(''' {0}'''.format(A__ )	,							A__ ),
           values[index].item(),
           predicted_token,
       ) )
  else:
   topk_filled_outputs.append(
       (
           masked_input.replace(A__	,							A__ ),
           values[index].item(),
           predicted_token,
       ) )
 return topk_filled_outputs


lowerCAmelCase__   		=      CamembertTokenizer.from_pretrained('''camembert-base''')
lowerCAmelCase__   		=      CamembertForMaskedLM.from_pretrained('''camembert-base''')
model.eval()

lowerCAmelCase__   		=      '''Le camembert est <mask> :)'''






print(fill_mask(masked_input, model, tokenizer, topk=3))





_lowerCAmelCase:						List[str]   				=       'ABCDEFGHIJKLMNOPQRSTUVWXYZ'






def   _lowercase(					):
							a__      =input('Enter message: '     )
							a__      =input('Enter key [alphanumeric]: '     )
							a__      =input('Encrypt/Decrypt [e/d]: '     )

							if mode.lower().startswith('e'     ):
														a__      ='encrypt'
														a__      =encrypt_message(__a    ,     __a     )
							elif mode.lower().startswith('d'     ):
														a__      ='decrypt'
														a__      =decrypt_message(__a    ,     __a     )

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






def   _lowercase(					__a				:						str    ,     __a				:						str     ):
							return translate_message(__a    ,     __a    ,     'encrypt'     )






def   _lowercase(					__a				:						str    ,     __a				:						str     ):
							return translate_message(__a    ,     __a    ,     'decrypt'     )






def   _lowercase(					__a				:						str    ,     __a				:						str    ,     __a				:						str     ):
							a__      =[]
							a__      =0
							a__      =key.upper()

							for symbol in message:
														a__      =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     ):
																												a__      =0
														else:
																					translated.append(__a     )
							return "".join(__a     )


if __name__ == "__main__":
	main()

