

'''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'''






import pytest
import requests

from datasets.utils.file_utils import http_head

from .utils import OfflineSimulationMode, RequestWouldHangIndefinitelyError, offline


@pytest.mark.integration
def 		_A     (    ):






 """simple docstring"""



 with offline(OfflineSimulationMode.CONNECTION_TIMES_OUT      ):
  with pytest.raises(A__      ):
   requests.request('''GET'''     ,				'''https://huggingface.co'''      )
  with pytest.raises(requests.exceptions.ConnectTimeout      ):
   requests.request('''GET'''     ,				'''https://huggingface.co'''     ,				timeout=1.0      )


@pytest.mark.integration
def 		_A     (    ):






 """simple docstring"""



 with offline(OfflineSimulationMode.CONNECTION_FAILS      ):
  with pytest.raises(requests.exceptions.ConnectionError      ):
   requests.request('''GET'''     ,				'''https://huggingface.co'''      )






def 		_A     (    ):






 """simple docstring"""



 with offline(OfflineSimulationMode.HF_DATASETS_OFFLINE_SET_TO_1      ):
  with pytest.raises(A__      ):
   http_head('''https://huggingface.co'''      )

