10efd7b636ca896b390406b760029d24d5916e88,optuna/visualization/matplotlib/_optimization_history.py,,_get_optimization_history_plot,#Any#Any#Any#,79

Before Change

        return ax

    best_values = [float("inf")] if study.direction == StudyDirection.MINIMIZE else [-float("inf")]
    comp = min if study.direction == StudyDirection.MINIMIZE else max
    for trial in trials:
        trial_value = trial.value
        assert trial_value is not None  // For mypy
        best_values.append(comp(best_values[-1], trial_value))

After Change

    if study.direction == StudyDirection.MINIMIZE:
        best_values = list(np.minimum.accumulate([t.value for t in trials]))
    else:
        best_values = list(np.maximum.accumulate([t.value for t in trials]))

    // Draw a scatter plot and a line plot.
    if target is None:
        ax.scatter(

Instances