


"""simple docstring"""







import builtins
import sys

from ...utils.imports import _is_package_available
from . import cursor, input
from .helpers import Direction, clear_line, forceWrite, linebreak, move_cursor, reset_cursor, writeColor
from .keymap import KEYMAP


lowerCAmelCase__ 							=  False
try:
     lowerCAmelCase__ 							=  _is_package_available('''google.colab''')
except ModuleNotFoundError:
     pass


@input.register
class  SCREAMING_SNAKE_CASE__							:
       """simple docstring"""


       def __init__(		self						,	snake_case__ = None						,	snake_case__ = []		):






         """simple docstring"""





         lowerCAmelCase	:	Any								=				0
         lowerCAmelCase	:	Any								=				choices
         lowerCAmelCase	:	Tuple								=				prompt
         if sys.platform == "win32":
           lowerCAmelCase	:	str								=				"*"
         else:
           lowerCAmelCase	:	Dict								=				"➔ "

       def 			lowercase__				(		self						,	snake_case__						,	snake_case__ = ""		):






         """simple docstring"""





         if sys.platform != "win32":
           writeColor(self.choices[index]						,	32						,	__a		)
         else:
           forceWrite(self.choices[index]						,	__a		)

       def 			lowercase__				(		self						,	snake_case__		):






         """simple docstring"""





         if index == self.position:
           forceWrite(f""" {self.arrow_char} """		)
           self.write_choice(__a		)
         else:
           forceWrite(f"""    {self.choices[index]}"""		)
         reset_cursor()

       def 			lowercase__				(		self						,	snake_case__						,	snake_case__ = 1		):






         """simple docstring"""





         lowerCAmelCase	:	Tuple								=				self.position
         if direction == Direction.DOWN:
           if self.position + 1 >= len(self.choices		):
             return
           self.position += num_spaces
         else:
           if self.position - 1 < 0:
             return
           self.position -= num_spaces
         clear_line()
         self.print_choice(__a		)
         move_cursor(__a						,	direction.name		)
         self.print_choice(self.position		)

       @input.mark(KEYMAP["up"]		)
       def 			lowercase__				(		self		):






         """simple docstring"""





         self.move_direction(Direction.UP		)

       @input.mark(KEYMAP["down"]		)
       def 			lowercase__				(		self		):






         """simple docstring"""





         self.move_direction(Direction.DOWN		)

       @input.mark(KEYMAP["newline"]		)
       def 			lowercase__				(		self		):






         """simple docstring"""





         move_cursor(len(self.choices		) - self.position						,	"DOWN"		)
         return self.position

       @input.mark(KEYMAP["interrupt"]		)
       def 			lowercase__				(		self		):






         """simple docstring"""





         move_cursor(len(self.choices		) - self.position						,	"DOWN"		)
         raise KeyboardInterrupt

       @input.mark_multiple(*[KEYMAP[str(__a		)] for number in range(10		)]		)
       def 			lowercase__				(		self		):






         """simple docstring"""





         lowerCAmelCase	:	Union[str, Any]								=				int(chr(self.current_selection		)		)
         lowerCAmelCase	:	List[str]								=				index - self.position
         if index == self.position:
           return
         if index < len(self.choices		):
           if self.position > index:
             self.move_direction(Direction.UP						,	-movement		)
           elif self.position < index:
             self.move_direction(Direction.DOWN						,	__a		)
           else:
             return
         else:
           return







       def 			lowercase__				(		self						,	snake_case__ = 0		):






         """simple docstring"""





         if self.prompt:
           linebreak()
           forceWrite(self.prompt						,	"\n"		)
           if in_colab:
             forceWrite("Please input a choice index (starting from 0), and press enter"						,	"\n"		)
           else:
             forceWrite("Please select a choice using the arrow or number keys, and selecting with enter"						,	"\n"		)
         lowerCAmelCase	:	int								=				default_choice
         for i in range(len(self.choices		)		):
           self.print_choice(__a		)
           forceWrite("\n"		)
         move_cursor(len(self.choices		) - self.position						,	"UP"		)
         with cursor.hide():
           while True:
             if in_colab:
               try:
                 lowerCAmelCase	:	Union[str, Any]								=				int(builtins.input()		)
               except ValueError:
                 lowerCAmelCase	:	int								=				default_choice
             else:
               lowerCAmelCase	:	Any								=				self.handle_input()
             if choice is not None:
               reset_cursor()
               for _ in range(len(self.choices		) + 1		):
                 move_cursor(1						,	"UP"		)
                 clear_line()
               self.write_choice(__a						,	"\n"		)
               return choice












"""simple docstring"""


import torch

from transformers import CamembertForMaskedLM, CamembertTokenizer




def        lowercase__     (       lowercase_		,lowercase_		,lowercase_		,lowercase_=5      )       ->		List[Any]:




      """simple docstring"""

      assert masked_input.count("<mask>"      ) == 1
      _UpperCamelCase   :						str    =							torch.tensor(tokenizer.encode(lowercase_		,add_special_tokens=lowercase_      )      ).unsqueeze(0      )  # Batch size 1
      _UpperCamelCase   :						Union[str, Any]    =							model(lowercase_      )[0]  # The last hidden-state is the first element of the output tuple
      _UpperCamelCase   :						List[Any]    =							(input_ids.squeeze() == tokenizer.mask_token_id).nonzero().item()
      _UpperCamelCase   :						Tuple    =							logits[0, masked_index, :]
      _UpperCamelCase   :						List[str]    =							logits.softmax(dim=0      )
      _UpperCamelCase,	_UpperCamelCase   :						str    =							prob.topk(k=lowercase_		,dim=0      )
      _UpperCamelCase   :						str    =							" ".join(
          [tokenizer.convert_ids_to_tokens(indices[i].item()      ) for i in range(len(lowercase_      )      )]      )
      _UpperCamelCase   :						Any    =							tokenizer.mask_token
      _UpperCamelCase   :						List[Any]    =							[]
      for index, predicted_token_bpe in enumerate(topk_predicted_token_bpe.split(" "      )      ):
            _UpperCamelCase   :						Optional[int]    =							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


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))
