





from __future__ import annotations

from statistics import mean






def 							_lowerCAmelCase (  _a   :					list[int]					,   _a   :					list[int]					,   _a   :					int			)	->			list[int]:
     lowerCAmelCase_					:       int    =		[0] * no_of_processes
     lowerCAmelCase_					:       int    =		[0] * no_of_processes

     # Initialize remaining_time to waiting_time.

     for i in range(_a			):
          lowerCAmelCase_					:       Dict    =		burst_time[i]
     lowerCAmelCase_					:       list[int]    =		[]

     lowerCAmelCase_					:       Tuple    =		0
     lowerCAmelCase_					:       Union[str, Any]    =		0

     # When processes are not completed,
     # A process whose arrival time has passed \
     # and has remaining execution time is put into the ready_process.
     # The shortest process in the ready_process, target_process is executed.

     while completed != no_of_processes:
          lowerCAmelCase_					:       List[str]    =		[]
          lowerCAmelCase_					:       Optional[int]    =		-1

          for i in range(_a			):
               if (arrival_time[i] <= total_time) and (remaining_time[i] > 0):
                    ready_process.append(_a			)

          if len(_a			) > 0:
               lowerCAmelCase_					:       List[str]    =		ready_process[0]
               for i in ready_process:
                    if remaining_time[i] < remaining_time[target_process]:
                         lowerCAmelCase_					:       Tuple    =		i
               total_time += burst_time[target_process]
               completed += 1
               lowerCAmelCase_					:       Optional[Any]    =		0
               lowerCAmelCase_					:       Optional[Any]    =		(
                   total_time - arrival_time[target_process] - burst_time[target_process]
               )
          else:
               total_time += 1

     return waiting_time






def 							_lowerCAmelCase (  _a   :					list[int]					,   _a   :					int					,   _a   :					list[int]			)	->			list[int]:
     lowerCAmelCase_					:       Tuple    =		[0] * no_of_processes
     for i in range(_a			):
          lowerCAmelCase_					:       str    =		burst_time[i] + waiting_time[i]
     return turn_around_time


if __name__ == "__main__":
      print("""[TEST CASE 01]""")

      UpperCAmelCase_					:   List[Any] 							=						4
      UpperCAmelCase_					:   Any 							=						[2, 5, 3, 7]
      UpperCAmelCase_					:   Tuple 							=						[0, 0, 0, 0]
      UpperCAmelCase_					:   Tuple 							=						calculate_waitingtime(arrival_time, burst_time, no_of_processes)
      UpperCAmelCase_					:   Optional[int] 							=						calculate_turnaroundtime(
          burst_time, no_of_processes, waiting_time
      )

      # Printing the Result
      print("""PID\tBurst Time\tArrival Time\tWaiting Time\tTurnaround Time""")
      for i, process_id in enumerate(list(range(1, 5))):
            print(
                F"""{process_id}\t{burst_time[i]}\t\t\t{arrival_time[i]}\t\t\t\t"""
                F"""{waiting_time[i]}\t\t\t\t{turn_around_time[i]}"""
            )
      print(F"""\nAverage waiting time = {mean(waiting_time):.5f}""")
      print(F"""Average turnaround time = {mean(turn_around_time):.5f}""")







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)}""")
