





'''simple docstring'''






from statistics import mean

import numpy as np
def 							_lowerCamelCase(  UpperCamelCase__    : list    ,       UpperCamelCase__    : list    ,       UpperCamelCase__    : list    ,       UpperCamelCase__    : int		):
    A       :       Optional[int]							=						0
    # Number of processes finished
    A       :       Tuple							=						0
    # Displays the finished process.
    # If it is 0, the performance is completed if it is 1, before the performance.
    A       :       Dict							=						[0] * no_of_process
    # List to include calculation results
    A       :       Union[str, Any]							=						[0] * no_of_process

    # Sort by arrival time.
    A       :       Tuple							=						[burst_time[i] for i in np.argsort(UpperCamelCase__		)]
    A       :       Dict							=						[process_name[i] for i in np.argsort(UpperCamelCase__		)]
    arrival_time.sort()

    while no_of_process > finished_process_count:
        A       :       Any							=						0
        while finished_process[i] == 1:
            i += 1
        if current_time < arrival_time[i]:
            A       :       str							=						arrival_time[i]

        A       :       Dict							=						0
        # Index showing the location of the process being performed
        A       :       Optional[Any]							=						0
        # Saves the current response ratio.
        A       :       Optional[int]							=						0
        for i in range(0    ,       UpperCamelCase__		):
            if finished_process[i] == 0 and arrival_time[i] <= current_time:
                A       :       Tuple							=						(burst_time[i] + (current_time - arrival_time[i])) / burst_time[
                    i
                ]
            if response_ratio < temp:
                A       :       Optional[int]							=						temp
                A       :       Union[str, Any]							=						i

        # Calculate the turn around time
        A       :       List[Any]							=						current_time + burst_time[loc] - arrival_time[loc]
        current_time += burst_time[loc]
        # Indicates that the process has been performed.
        A       :       Any							=						1
        # Increase finished_process_count by 1
        finished_process_count += 1

    return turn_around_time
def 							_lowerCamelCase(  UpperCamelCase__    : list    ,       UpperCamelCase__    : list    ,       UpperCamelCase__    : list    ,       UpperCamelCase__    : int		):
    A       :       Dict							=						[0] * no_of_process
    for i in range(0    ,       UpperCamelCase__		):
        A       :       Any							=						turn_around_time[i] - burst_time[i]
    return waiting_time


if __name__ == "__main__":
     snake_case_     =	5
     snake_case_     =	["""A""", """B""", """C""", """D""", """E"""]
     snake_case_     =	[1, 2, 3, 4, 5]
     snake_case_     =	[1, 2, 3, 4, 5]

     snake_case_     =	calculate_turn_around_time(
         process_name, arrival_time, burst_time, no_of_process
     )
     snake_case_     =	calculate_waiting_time(
         process_name, turn_around_time, burst_time, no_of_process
     )

     print("""Process name \tArrival time \tBurst time \tTurn around time \tWaiting time""")
     for i in range(0, no_of_process):
          print(
              f'''{process_name[i]}\t\t{arrival_time[i]}\t\t{burst_time[i]}\t\t'''
              f'''{turn_around_time[i]}\t\t\t{waiting_time[i]}'''
          )

     print(f'''average waiting time : {mean(waiting_time):.5f}''')
     print(f'''average turn around time : {mean(turn_around_time):.5f}''')







'''simple docstring'''






from math import pi
def 							_lowerCamelCase(  UpperCamelCase__    : int    ,       UpperCamelCase__    : int		)		->  float:
    return 2 * pi * radius * (angle / 360)


if __name__ == "__main__":
     print(arc_length(90, 10))
