





import numpy as np

from transformers import Pipeline






def 							_lowerCAmelCase (  _a   :					int			)	->			List[str]:
     lowerCAmelCase_					:       Tuple    =		np.max(_a					,   axis=-1					,   keepdims=_a			)
     lowerCAmelCase_					:       Any    =		np.exp(outputs - maxes			)
     return shifted_exp / shifted_exp.sum(axis=-1					,   keepdims=_a			)







class      lowercase__    (							__A  ):







  def 	UpperCAmelCase__		(	self    ,						**_lowercase						):
       lowerCAmelCase_					:       Any    =		{}
       if "second_text" in kwargs:
            lowerCAmelCase_					:       Optional[Any]    =		kwargs["""second_text"""]
       return preprocess_kwargs, {}, {}







  def 	UpperCAmelCase__		(	self    ,						_lowercase    ,						_lowercase=None						):
       return self.tokenizer(_lowercase    ,						text_pair=_lowercase    ,						return_tensors=self.framework						)







  def 	UpperCAmelCase__		(	self    ,						_lowercase						):
       return self.model(**_lowercase						)







  def 	UpperCAmelCase__		(	self    ,						_lowercase						):
       lowerCAmelCase_					:       Union[str, Any]    =		model_outputs.logits[0].numpy()
       lowerCAmelCase_					:       str    =		softmax(_lowercase						)

       lowerCAmelCase_					:       Tuple    =		np.argmax(_lowercase						)
       lowerCAmelCase_					:       str    =		self.model.config.idalabel[best_class]
       lowerCAmelCase_					:       Optional[Any]    =		probabilities[best_class].item()
       lowerCAmelCase_					:       Tuple    =		logits.tolist()
       return {"label": label, "score": score, "logits": logits}







UpperCAmelCase_					:   str 							=						"""Alexander Joslin"""

import operator as op

from .stack import Stack






def 							_lowerCAmelCase (  _a   :					str			)	->			int:
     lowerCAmelCase_					:       Any    =		{"""*""": op.mul, """/""": op.truediv, """+""": op.add, """-""": op.sub}

     lowerCAmelCase_					:       Stack[int]    =		Stack()
     lowerCAmelCase_					:       Stack[str]    =		Stack()

     for i in equation:
          if i.isdigit():
               # RULE 1
               operand_stack.push(int(_a			)			)
          elif i in operators:
               # RULE 2
               operator_stack.push(_a			)
          elif i == ")":
               # RULE 4
               lowerCAmelCase_					:       Optional[int]    =		operator_stack.peek()
               operator_stack.pop()
               lowerCAmelCase_					:       Union[str, Any]    =		operand_stack.peek()
               operand_stack.pop()
               lowerCAmelCase_					:       List[str]    =		operand_stack.peek()
               operand_stack.pop()

               lowerCAmelCase_					:       Dict    =		operators[opr](_a					,   _a			)
               operand_stack.push(_a			)

    # RULE 5
     return operand_stack.peek()


if __name__ == "__main__":
      UpperCAmelCase_					:   Dict 							=						"""(5 + ((4 * 2) * (2 + 3)))"""
      # answer = 45
      print(F"""{equation} = {dijkstras_two_stack_algorithm(equation)}""")
