},
	}

	for i, test := range tests {
		t.Run(fmt.Sprintf("case_%d", i), func(t *testing.T) {
			scores := framework.NodeScoreList{}
			for _, score := range test.scores {
				scores = append(scores, framework.NodeScore{Score: score})
			}

			expectedScores := framework.NodeScoreList{}
			for _, score := range test.expectedScores {
				expectedScores = append(expectedScores, framework.NodeScore{Score: score})
			}

// reverses the scores by subtracting it from maxPriority.
// Note: The input scores are always assumed to be non-negative integers.
func DefaultNormalizeScore(maxPriority int64, reverse bool, scores framework.NodeScoreList) *framework.Status {
	var maxCount int64
	for i := range scores {
		if scores[i].Score > maxCount {
			maxCount = scores[i].Score
		}
	}

	if maxCount == 0 {
		if reverse {
			for i := range scores {

	return score, nil
}

// NormalizeScore invoked after scoring all nodes.
func (pl *TaintToleration) NormalizeScore(ctx context.Context, _ *framework.CycleState, pod *v1.Pod, scores framework.NodeScoreList) *framework.Status {
	return helper.DefaultNormalizeScore(framework.MaxNodeScore, true, scores)
}

// ScoreExtensions of the Score plugin.
func (pl *TaintToleration) ScoreExtensions() framework.ScoreExtensions {