|
| 1 | +""" |
| 2 | +Shortest Remaining Time First (SRTF) Scheduling Algorithm. |
| 3 | +SRTF is the preemptive version of Shortest Job First (SJF). |
| 4 | +At every moment, the process with the smallest remaining burst time is executed. |
| 5 | +https://en.wikipedia.org/wiki/Shortest_remaining_time |
| 6 | +""" |
| 7 | + |
| 8 | +from __future__ import annotations |
| 9 | +from statistics import mean |
| 10 | + |
| 11 | + |
| 12 | +def calculate_waiting_times(burst_times: list[int], arrival_times: list[int]) -> list[int]: |
| 13 | + """ |
| 14 | + Calculate the waiting times of processes using SRTF scheduling. |
| 15 | +
|
| 16 | + Args: |
| 17 | + burst_times: List of burst times for each process. |
| 18 | + arrival_times: List of arrival times for each process. |
| 19 | +
|
| 20 | + Returns: |
| 21 | + A list containing waiting time for each process. |
| 22 | +
|
| 23 | + Examples: |
| 24 | + >>> calculate_waiting_times([6, 8, 7, 3], [0, 1, 2, 3]) |
| 25 | + [9, 15, 10, 0] |
| 26 | + >>> calculate_waiting_times([5, 4, 2, 1], [0, 1, 2, 3]) |
| 27 | + [6, 3, 1, 0] |
| 28 | + """ |
| 29 | + n = len(burst_times) |
| 30 | + remaining_times = burst_times.copy() |
| 31 | + waiting_times = [0] * n |
| 32 | + complete = 0 |
| 33 | + t = 0 |
| 34 | + min_remaining = float("inf") |
| 35 | + shortest = 0 |
| 36 | + check = False |
| 37 | + finish_time = 0 |
| 38 | + |
| 39 | + while complete != n: |
| 40 | + # Find process with minimum remaining time at current time |
| 41 | + for j in range(n): |
| 42 | + if arrival_times[j] <= t and remaining_times[j] < min_remaining and remaining_times[j] > 0: |
| 43 | + min_remaining = remaining_times[j] |
| 44 | + shortest = j |
| 45 | + check = True |
| 46 | + |
| 47 | + if not check: |
| 48 | + t += 1 |
| 49 | + continue |
| 50 | + |
| 51 | + # Reduce remaining time of current process |
| 52 | + remaining_times[shortest] -= 1 |
| 53 | + min_remaining = remaining_times[shortest] |
| 54 | + if min_remaining == 0: |
| 55 | + min_remaining = float("inf") |
| 56 | + |
| 57 | + # If a process finishes |
| 58 | + if remaining_times[shortest] == 0: |
| 59 | + complete += 1 |
| 60 | + check = False |
| 61 | + finish_time = t + 1 |
| 62 | + waiting_times[shortest] = ( |
| 63 | + finish_time - burst_times[shortest] - arrival_times[shortest] |
| 64 | + ) |
| 65 | + if waiting_times[shortest] < 0: |
| 66 | + waiting_times[shortest] = 0 |
| 67 | + |
| 68 | + t += 1 |
| 69 | + |
| 70 | + return waiting_times |
| 71 | + |
| 72 | + |
| 73 | +def calculate_turn_around_times( |
| 74 | + burst_times: list[int], waiting_times: list[int] |
| 75 | +) -> list[int]: |
| 76 | + """ |
| 77 | + Calculate turn-around times for each process. |
| 78 | +
|
| 79 | + >>> calculate_turn_around_times([6, 8, 7, 3], [9, 15, 10, 0]) |
| 80 | + [15, 23, 17, 3] |
| 81 | + """ |
| 82 | + return [burst + waiting for burst, waiting in zip(burst_times, waiting_times)] |
| 83 | + |
| 84 | + |
| 85 | +if __name__ == "__main__": |
| 86 | + burst_times = [6, 8, 7, 3] |
| 87 | + arrival_times = [0, 1, 2, 3] |
| 88 | + waiting_times = calculate_waiting_times(burst_times, arrival_times) |
| 89 | + turn_around_times = calculate_turn_around_times(burst_times, waiting_times) |
| 90 | + |
| 91 | + print("Process ID \tArrival Time \tBurst Time \tWaiting Time \tTurnaround Time") |
| 92 | + for i, burst_time in enumerate(burst_times): |
| 93 | + print( |
| 94 | + f" {i + 1}\t\t {arrival_times[i]}\t\t {burst_time}\t\t {waiting_times[i]}\t\t {turn_around_times[i]}" |
| 95 | + ) |
| 96 | + print(f"\nAverage waiting time = {mean(waiting_times):.5f}") |
| 97 | + print(f"Average turn around time = {mean(turn_around_times):.5f}") |
| 98 | + |
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