



'''simple docstring'''


from importlib import import_module

from .logging import get_logger


lowercase							       =			get_logger(__name__)







class 	UpperCAmelCase	:


 '''simple docstring'''




 def __init__(   self							,  lowerCAmelCase_							,  lowerCAmelCase_=None) ->      Tuple:



      """simple docstring"""







      a_       		=attrs or []
      if module is not None:
           for key in module.__dict__:
                if key in attrs or not key.startswith("__"):
                     setattr(self							,  lowerCAmelCase_							,  getattr(lowerCAmelCase_							,  lowerCAmelCase_))
      a_       		=module._original_module if isinstance(lowerCAmelCase_							,  _PatchedModuleObj) else module







class 	UpperCAmelCase	:


 '''simple docstring'''




 __magic_name__					: List[str]  =      []




 def __init__(   self							,  lowerCAmelCase_							,  lowerCAmelCase_							,  lowerCAmelCase_							,  lowerCAmelCase_=None) ->      Tuple:



      """simple docstring"""







      a_       		=obj
      a_       		=target
      a_       		=new
      a_       		=target.split(".")[0]
      a_       		={}
      a_       		=attrs or []




 def __enter__(   self) ->      str:



      """simple docstring"""







      *a_		,						a_       		=self.target.split(".")

      # Patch modules:
      # it's used to patch attributes of submodules like "os.path.join";
      # in this case we need to patch "os" and "os.path"

      for i in range(len(lowerCAmelCase_)):
           try:
                a_       		=import_module(".".join(submodules[: i + 1]))
           except ModuleNotFoundError:
                continue
           # We iterate over all the globals in self.obj in case we find "os" or "os.path"
           for attr in self.obj.__dir__():
                a_       		=getattr(self.obj							,  lowerCAmelCase_)
                # We don't check for the name of the global, but rather if its value *is* "os" or "os.path".
                # This allows to patch renamed modules like "from os import path as ospath".
                if obj_attr is submodule or (
                    (isinstance(lowerCAmelCase_							,  _PatchedModuleObj) and obj_attr._original_module is submodule)
                ):
                     a_       		=obj_attr
                     # patch at top level
                     setattr(self.obj							,  lowerCAmelCase_							,  _PatchedModuleObj(lowerCAmelCase_							,  attrs=self.attrs))
                     a_       		=getattr(self.obj							,  lowerCAmelCase_)
                     # construct lower levels patches
                     for key in submodules[i + 1 :]:
                          setattr(lowerCAmelCase_							,  lowerCAmelCase_							,  _PatchedModuleObj(getattr(lowerCAmelCase_							,  lowerCAmelCase_							,  lowerCAmelCase_)							,  attrs=self.attrs))
                          a_       		=getattr(lowerCAmelCase_							,  lowerCAmelCase_)
                     # finally set the target attribute
                     setattr(lowerCAmelCase_							,  lowerCAmelCase_							,  self.new)

        # Patch attribute itself:
        # it's used for builtins like "open",
        # and also to patch "os.path.join" we may also need to patch "join"
        # itself if it was imported as "from os.path import join".

      if submodules:  # if it's an attribute of a submodule like "os.path.join"
           try:
                a_       		=getattr(import_module(".".join(lowerCAmelCase_))							,  lowerCAmelCase_)
           except (AttributeError, ModuleNotFoundError):
                return
           # We iterate over all the globals in self.obj in case we find "os.path.join"
           for attr in self.obj.__dir__():
                # We don't check for the name of the global, but rather if its value *is* "os.path.join".
                # This allows to patch renamed attributes like "from os.path import join as pjoin".
                if getattr(self.obj							,  lowerCAmelCase_) is attr_value:
                     a_       		=getattr(self.obj							,  lowerCAmelCase_)
                     setattr(self.obj							,  lowerCAmelCase_							,  self.new)
      elif target_attr in globals()["__builtins__"]:  # if it'a s builtin like "open"
           a_       		=globals()["__builtins__"][target_attr]
           setattr(self.obj							,  lowerCAmelCase_							,  self.new)
      else:
           raise RuntimeError(f"""Tried to patch attribute {target_attr} instead of a submodule.""")




 def __exit__(   self							,  *lowerCAmelCase_) ->      Union[str, Any]:



      """simple docstring"""







      for attr in list(self.original):
           setattr(self.obj							,  lowerCAmelCase_							,  self.original.pop(lowerCAmelCase_))




 def       lowercase_  (   self) ->      Optional[int]:



      """simple docstring"""







      self.__enter__()
      self._active_patches.append(self)




 def       lowercase_  (   self) ->      List[str]:



      """simple docstring"""







      try:
           self._active_patches.remove(self)
      except ValueError:
           # If the patch hasn't been started this will fail
           return None

      return self.__exit__()







'''simple docstring'''


import torch

from transformers import CamembertForMaskedLM, CamembertTokenizer






def  UpperCAmelCase_       (		lowercase__       ,	lowercase__       ,	lowercase__       ,	lowercase__=5       ):


     '''simple docstring'''







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


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

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

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


