


"""simple docstring"""






import torch

from transformers import CamembertForMaskedLM, CamembertTokenizer







def        lowerCamelCase_(		_lowerCamelCase			,		_lowerCamelCase			,		_lowerCamelCase			,		_lowerCamelCase=5       )    ->     Tuple:
   '''simple docstring'''





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


_lowerCAmelCase							:    Tuple					   =	CamembertTokenizer.from_pretrained('''camembert-base''')
_lowerCAmelCase							:    Optional[Any]					   =	CamembertForMaskedLM.from_pretrained('''camembert-base''')
model.eval()

_lowerCAmelCase							:    Any					   =	'''Le camembert est <mask> :)'''

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







'''simple docstring'''







def 		_UpperCAmelCase (				__A				: int   ):
				a_		:	Optional[Any]									=   []
				a_		:	Optional[Any]									=   []
				a_		:	List[str]									=   {
				    '''^''': 3,
				    '''*''': 2,
				    '''/''': 2,
				    '''%''': 2,
				    '''+''': 1,
				    '''-''': 1,
				}  # Priority of each operator
				a_		:	int									=   len(__A   ) if (len(__A   ) > 7) else 7

				# Print table header for output
				print(
				    '''Symbol'''.center(8   )    ,		'''Stack'''.center(__A   )    ,		'''Postfix'''.center(__A   )    ,		sep=''' | '''    ,		)
				print('''-''' * (print_width * 3 + 7)   )

				for x in infix:
								if x.isalpha() or x.isdigit():
												post_fix.append(__A   )  # if x is Alphabet / Digit, add it to Postfix
								elif x == "(":
												stack.append(__A   )  # if x is "(" push to Stack
								elif x == ")":  # if x is ")" pop stack until "(" is encountered
												while stack[-1] != "(":
																post_fix.append(stack.pop()   )  # Pop stack & add the content to Postfix
												stack.pop()
								else:
												if len(__A   ) == 0:
																stack.append(__A   )  # If stack is empty, push x to stack
												else:  # while priority of x is not > priority of element in the stack
																while len(__A   ) > 0 and priority[x] <= priority[stack[-1]]:
																				post_fix.append(stack.pop()   )  # pop stack & add to Postfix
																stack.append(__A   )  # push x to stack

								print(
								    x.center(8   )    ,		(''''''.join(__A   )).ljust(__A   )    ,		(''''''.join(__A   )).ljust(__A   )    ,		sep=''' | '''    ,		)  # Output in tabular format

				while len(__A   ) > 0:  # while stack is not empty
								post_fix.append(stack.pop()   )  # pop stack & add to Postfix
								print(
								    ''' '''.center(8   )    ,		(''''''.join(__A   )).ljust(__A   )    ,		(''''''.join(__A   )).ljust(__A   )    ,		sep=''' | '''    ,		)  # Output in tabular format

				return "".join(__A   )  # return Postfix as str





def 		_UpperCAmelCase (				__A				: Tuple   ):
				a_		:	Union[str, Any]									=   list(infix[::-1]   )  # reverse the infix equation

				for i in range(len(__A   )   ):
								if infix[i] == "(":
												a_		:	List[str]									=   ''')'''  # change "(" to ")"
								elif infix[i] == ")":
												a_		:	str									=   '''('''  # change ")" to "("

				return (infix_2_postfix(''''''.join(__A   )   ))[
				    ::-1
				]  # call infix_2_postfix on Infix, return reverse of Postfix


if __name__ == "__main__":
		__lowerCAmelCase									=   input('\nEnter an Infix Equation = ')  # Input an Infix equation
		__lowerCAmelCase									=   ''.join(Infix.split())  # Remove spaces from the input
		print('\n\t', Infix, '(Infix) -> ', infix_2_prefix(Infix), '(Prefix)')




