


"""simple docstring"""





snake_case__						:   Union[str, Any]			 = '''Alexander Joslin'''

import operator as op

from .stack import Stack


def    _snake_case  (  _snake_case :	str	):
      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(_snake_case	)	)
            elif i in operators:
                  # RULE 2
                  operator_stack.push(_snake_case	)
            elif i == ")":
                  # RULE 4
                  lowerCAmelCase    :		Dict				=      operator_stack.peek()
                  operator_stack.pop()
                  lowerCAmelCase    :		Optional[int]				=      operand_stack.peek()
                  operand_stack.pop()
                  lowerCAmelCase    :		Dict				=      operand_stack.peek()
                  operand_stack.pop()

                  lowerCAmelCase    :		Optional[Any]				=      operators[opr](_snake_case       ,      _snake_case	)
                  operand_stack.push(_snake_case	)

    # RULE 5
      return operand_stack.peek()


if __name__ == "__main__":
 snake_case__						:   int			 = '''(5 + ((4 * 2) * (2 + 3)))'''
 # answer = 45
 print(f"""{equation} = {dijkstras_two_stack_algorithm(equation)}""")






"""simple docstring"""





from datetime import datetime

import matplotlib.pyplot as plt
import torch


def    _snake_case  (  _snake_case :	int	):
      for param in module.parameters():
            lowerCAmelCase    :		Optional[int]				=      False


def    _snake_case  (  ):
      lowerCAmelCase    :		List[str]				=      '''cuda''' if torch.cuda.is_available() else '''cpu'''
      if torch.backends.mps.is_available() and torch.backends.mps.is_built():
            lowerCAmelCase    :		Any				=      '''mps'''
      if device == "mps":
            print(
                '''WARNING: MPS currently doesn\'t seem to work, and messes up backpropagation without any visible torch'''
                ''' errors. I recommend using CUDA on a colab notebook or CPU instead if you\'re facing inexplicable issues'''
                ''' with generations.'''	)
      return device


def    _snake_case  (  _snake_case :	Dict	):
      lowerCAmelCase    :		Optional[int]				=      plt.imshow(_snake_case	)
      fig.axes.get_xaxis().set_visible(_snake_case	)
      fig.axes.get_yaxis().set_visible(_snake_case	)
      plt.show()






def    _snake_case  (  ):
      lowerCAmelCase    :		List[str]				=      datetime.now()
      lowerCAmelCase    :		Union[str, Any]				=      current_time.strftime('''%H:%M:%S'''	)
      return timestamp


