






'''simple docstring'''

from __future__ import annotations

import pandas as pd



def 				snake_case       (  a_				:			list[int]     , a_				:			list[int]     , a_				:			int						)							->					list[int]:





      """simple docstring"""

      UpperCamelCase_					: Union[str, Any]            =				[0] * no_of_processes
      UpperCamelCase_					: Union[str, Any]            =				[0] * no_of_processes
      # Copy the burst time into remaining_time[]
      for i in range(a_						):
            UpperCamelCase_					: int            =				burst_time[i]

      UpperCamelCase_					: Dict            =				0
      UpperCamelCase_					: Tuple            =				0
      UpperCamelCase_					: Union[str, Any]            =				999_999_999
      UpperCamelCase_					: str            =				0
      UpperCamelCase_					: Tuple            =				False

      # Process until all processes are completed
      while complete != no_of_processes:
            for j in range(a_						):
                  if arrival_time[j] <= increment_time and remaining_time[j] > 0:
                        if remaining_time[j] < minm:
                              UpperCamelCase_					: List[Any]            =				remaining_time[j]
                              UpperCamelCase_					: Dict            =				j
                              UpperCamelCase_					: Union[str, Any]            =				True

            if not check:
                  increment_time += 1
                  continue
            remaining_time[short] -= 1

            UpperCamelCase_					: Tuple            =				remaining_time[short]
            if minm == 0:
                  UpperCamelCase_					: Dict            =				999_999_999

            if remaining_time[short] == 0:
                  complete += 1
                  UpperCamelCase_					: List[Any]            =				False

                  # Find finish time of current process
                  UpperCamelCase_					: str            =				increment_time + 1

                  # Calculate waiting time
                  UpperCamelCase_					: List[Any]            =				finish_time - arrival_time[short]
                  UpperCamelCase_					: Optional[int]            =				finar - burst_time[short]

                  if waiting_time[short] < 0:
                        UpperCamelCase_					: Tuple            =				0

        # Increment time
            increment_time += 1
      return waiting_time



def 				snake_case       (  a_				:			list[int]     , a_				:			int     , a_				:			list[int]						)							->					list[int]:





      """simple docstring"""

      UpperCamelCase_					: Tuple            =				[0] * no_of_processes
      for i in range(a_						):
            UpperCamelCase_					: Optional[int]            =				burst_time[i] + waiting_time[i]
      return turn_around_time



def 				snake_case       (  a_				:			list[int]     , a_				:			list[int]     , a_				:			int						)							->					None:





      """simple docstring"""

      UpperCamelCase_					: Union[str, Any]            =				0
      UpperCamelCase_					: Dict            =				0
      for i in range(a_						):
            UpperCamelCase_					: Optional[int]            =				total_waiting_time + waiting_time[i]
            UpperCamelCase_					: Any            =				total_turn_around_time + turn_around_time[i]
      print(f"Average waiting time = {total_waiting_time / no_of_processes:.5f}"						)
      print("""Average turn around time ="""     , total_turn_around_time / no_of_processes						)


if __name__ == "__main__":
      print("Enter how many process you want to analyze")
      UpperCamelCase      					=int(input())
      UpperCamelCase      					=[0] * no_of_processes
      UpperCamelCase      					=[0] * no_of_processes
      UpperCamelCase      					=list(range(1, no_of_processes + 1))

      for i in range(no_of_processes):
            print("Enter the arrival time and burst time for process:--" + str(i + 1))
            UpperCamelCase					,		UpperCamelCase      					=map(int, input().split())

      UpperCamelCase      					=calculate_waitingtime(arrival_time, burst_time, no_of_processes)

      UpperCamelCase      					=burst_time
      UpperCamelCase      					=no_of_processes
      UpperCamelCase      					=waiting_time
      UpperCamelCase      					=calculate_turnaroundtime(bt, n, wt)

      calculate_average_times(waiting_time, turn_around_time, no_of_processes)

      UpperCamelCase      					=pd.DataFrame(
          list(zip(processes, burst_time, arrival_time, waiting_time, turn_around_time)),
          columns=[
              "Process",
              "BurstTime",
              "ArrivalTime",
              "WaitingTime",
              "TurnAroundTime",
          ],
      )

      # Printing the dataFrame
      pd.set_option("display.max_rows", fcfs.shape[0] + 1)
      print(fcfs)














'''simple docstring'''

def 				snake_case       (  a_				:			list[int]     , a_				:			list[int]						)							->					tuple[float, float]:





      """simple docstring"""

      if not len(a_						) == len(a_						) == 3:
            raise ValueError("""Please enter a valid equation."""						)
      if equationa[0] == equationa[1] == equationa[0] == equationa[1] == 0:
            raise ValueError("""Both a & b of two equations can't be zero."""						)

      # Extract the coefficients
      UpperCamelCase_     ,      UpperCamelCase_     ,      UpperCamelCase_					: Optional[int]            =				equationa
      UpperCamelCase_     ,      UpperCamelCase_     ,      UpperCamelCase_					: List[str]            =				equationa

      # Calculate the determinants of the matrices
      UpperCamelCase_					: Union[str, Any]            =				aa * ba - aa * ba
      UpperCamelCase_					: Dict            =				ca * ba - ca * ba
      UpperCamelCase_					: Dict            =				aa * ca - aa * ca

      # Check if the system of linear equations has a solution (using Cramer's rule)
      if determinant == 0:
            if determinant_x == determinant_y == 0:
                  raise ValueError("""Infinite solutions. (Consistent system)"""						)
            else:
                  raise ValueError("""No solution. (Inconsistent system)"""						)
      else:
            if determinant_x == determinant_y == 0:
                  # Trivial solution (Inconsistent system)
                  return (0.0, 0.0)
            else:
                  UpperCamelCase_					: List[Any]            =				determinant_x / determinant
                  UpperCamelCase_					: List[str]            =				determinant_y / determinant
                  # Non-Trivial Solution (Consistent system)
                  return (x, y)






