

'''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))




'''simple docstring'''






def 	_A  (					A__ = 50   ):






 """simple docstring"""



 __lowercase													=				[1] * (length + 1)

 for row_length in range(3  ,       length + 1   ):
  for block_length in range(3  ,       row_length + 1   ):
   for block_start in range(row_length - block_length   ):
    ways_number[row_length] += ways_number[
        row_length - block_start - block_length - 1
    ]

   ways_number[row_length] += 1

 return ways_number[length]


if __name__ == "__main__":
 print(f'{solution() = }')

