def metrics()

in data_annotation_platform/app/main/demo.py [0:0]

• 29 lines of code
• 14 McCabe index (conditional complexity)

def metrics(true_cp, user_cp, k=5):
    true_cp = [int(x) for x in true_cp]
    user_cp = [int(x) for x in user_cp]

    correct = []
    window = []
    incorrect = []
    rem_true = list(true_cp)

    for cp in user_cp:
        if cp in rem_true:
            correct.append(cp)
            rem_true.remove(cp)
    user_cp = [x for x in user_cp if not x in correct]

    for cp in user_cp:
        to_delete = []
        for y in rem_true:
            if abs(cp - y) < k:
                window.append(cp)
                to_delete.append(y)
                break
        for y in to_delete:
            rem_true.remove(y)
    user_cp = [x for x in user_cp if not x in window]

    for cp in user_cp:
        incorrect.append(cp)

    n_correct = len(correct)
    n_window = len(window)
    n_fp = len(incorrect)
    n_fn = len(rem_true)
    return n_correct, n_window, n_fp, n_fn