

'''simple docstring'''





from __future__ import annotations

import pandas as pd
def        UpperCAmelCase_     (		_A   ,	_A   ,	_A       ):





     '''simple docstring'''




     SCREAMING_SNAKE_CASE__					=					[0] * no_of_processes
     SCREAMING_SNAKE_CASE__					=					[0] * no_of_processes
     # Copy the burst time into remaining_time[]
     for i in range(lowerCamelCase__       ):
          SCREAMING_SNAKE_CASE__					=					burst_time[i]

     SCREAMING_SNAKE_CASE__					=					0
     SCREAMING_SNAKE_CASE__					=					0
     SCREAMING_SNAKE_CASE__					=					9_99_99_99_99
     SCREAMING_SNAKE_CASE__					=					0
     SCREAMING_SNAKE_CASE__					=					False

     # Process until all processes are completed
     while complete != no_of_processes:
          for j in range(lowerCamelCase__       ):
               if arrival_time[j] <= increment_time and remaining_time[j] > 0:
                    if remaining_time[j] < minm:
                         SCREAMING_SNAKE_CASE__					=					remaining_time[j]
                         SCREAMING_SNAKE_CASE__					=					j
                         SCREAMING_SNAKE_CASE__					=					True

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

          SCREAMING_SNAKE_CASE__					=					remaining_time[short]
          if minm == 0:
               SCREAMING_SNAKE_CASE__					=					9_99_99_99_99

          if remaining_time[short] == 0:
               complete += 1
               SCREAMING_SNAKE_CASE__					=					False

               # Find finish time of current process
               SCREAMING_SNAKE_CASE__					=					increment_time + 1

               # Calculate waiting time
               SCREAMING_SNAKE_CASE__					=					finish_time - arrival_time[short]
               SCREAMING_SNAKE_CASE__					=					finar - burst_time[short]

               if waiting_time[short] < 0:
                    SCREAMING_SNAKE_CASE__					=					0

        # Increment time
          increment_time += 1
     return waiting_time
def        UpperCAmelCase_     (		_A   ,	_A   ,	_A       ):





     '''simple docstring'''




     SCREAMING_SNAKE_CASE__					=					[0] * no_of_processes
     for i in range(lowerCamelCase__       ):
          SCREAMING_SNAKE_CASE__					=					burst_time[i] + waiting_time[i]
     return turn_around_time
def        UpperCAmelCase_     (		_A   ,	_A   ,	_A       ):





     '''simple docstring'''




     SCREAMING_SNAKE_CASE__					=					0
     SCREAMING_SNAKE_CASE__					=					0
     for i in range(lowerCamelCase__       ):
          SCREAMING_SNAKE_CASE__					=					total_waiting_time + waiting_time[i]
          SCREAMING_SNAKE_CASE__					=					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''')
       _SCREAMING_SNAKE_CASE  :						Dict         =    int(input())
       _SCREAMING_SNAKE_CASE  :						Optional[int]         =    [0] * no_of_processes
       _SCREAMING_SNAKE_CASE  :						Tuple         =    [0] * no_of_processes
       _SCREAMING_SNAKE_CASE  :						Any         =    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))
              _SCREAMING_SNAKE_CASE    ,							_SCREAMING_SNAKE_CASE  :						Optional[Any]         =    map(int, input().split())

       _SCREAMING_SNAKE_CASE  :						str         =    calculate_waitingtime(arrival_time, burst_time, no_of_processes)

       _SCREAMING_SNAKE_CASE  :						Union[str, Any]         =    burst_time
       _SCREAMING_SNAKE_CASE  :						Any         =    no_of_processes
       _SCREAMING_SNAKE_CASE  :						int         =    waiting_time
       _SCREAMING_SNAKE_CASE  :						List[str]         =    calculate_turnaroundtime(bt, n, wt)

       calculate_average_times(waiting_time, turn_around_time, no_of_processes)

       _SCREAMING_SNAKE_CASE  :						int         =    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)





def        UpperCAmelCase_     (		_A       ):





     '''simple docstring'''




     SCREAMING_SNAKE_CASE__					=					[]
     for data in source_data:
          for i, el in enumerate(_A       ):
               if len(_A       ) < i + 1:
                    data_lists.append([]       )
               data_lists[i].append(float(_A       )       )
     return data_lists
def        UpperCAmelCase_     (		_A   ,	_A       ):





     '''simple docstring'''




     SCREAMING_SNAKE_CASE__					=					[]
     for dlist, weight in zip(_A   ,	_A       ):
          SCREAMING_SNAKE_CASE__					=					min(_A       )
          SCREAMING_SNAKE_CASE__					=					max(_A       )

          SCREAMING_SNAKE_CASE__					=					[]
          # for weight 0 score is 1 - actual score
          if weight == 0:
               for item in dlist:
                    try:
                         score.append(1 - ((item - mind) / (maxd - mind))       )
                    except ZeroDivisionError:
                         score.append(1       )

          elif weight == 1:
               for item in dlist:
                    try:
                         score.append((item - mind) / (maxd - mind)       )
                    except ZeroDivisionError:
                         score.append(0       )

        # weight not 0 or 1
          else:
               SCREAMING_SNAKE_CASE__					=					F'''Invalid weight of {weight:f} provided'''
               raise ValueError(_A       )

          score_lists.append(_A       )

     return score_lists
def        UpperCAmelCase_     (		_A       ):





     '''simple docstring'''




     SCREAMING_SNAKE_CASE__					=					[0 for i in range(len(score_lists[0]       )       )]

     for slist in score_lists:
          for j, ele in enumerate(_A       ):
               SCREAMING_SNAKE_CASE__					=					final_scores[j] + ele

     return final_scores







def        UpperCAmelCase_     (		_A   ,	_A       ):





     '''simple docstring'''




     SCREAMING_SNAKE_CASE__					=					get_data(_A       )
     SCREAMING_SNAKE_CASE__					=					calculate_each_score(_A   ,	_A       )
     SCREAMING_SNAKE_CASE__					=					generate_final_scores(_A       )

     # append scores to source data
     for i, ele in enumerate(_A       ):
          source_data[i].append(_A       )

     return source_data


