hostResult, status := p.(framework.ScorePlugin).Score(ctx, state, test.pod, test.nodes[i].Name)
				if !status.IsSuccess() {
					t.Errorf("Score is expected to return success, but didn't. Got status: %v", status)
				}
				if !reflect.DeepEqual(test.expectedList[i].Score, hostResult) {
					t.Errorf("got score %v for host %v, expected %v", hostResult, test.nodes[i].Name, test.expectedList[i].Score)
				}
			}
		})
	}

		if scores[i].Score > maxCount {
			maxCount = scores[i].Score
		}
	}

	if maxCount == 0 {
		if reverse {
			for i := range scores {
				scores[i].Score = maxPriority
			}
		}
		return nil
	}

	for i := range scores {
		score := scores[i].Score

		score = maxPriority * score / maxCount
		if reverse {
			score = maxPriority - score
		}

		scores[i].Score = score
	}
	return nil

			resources:      defaultResources,
		},
		{
			// Node1 scores on 0-MaxNodeScore scale
			// CPU Score: ((4000 - 3000) * MaxNodeScore) / 4000 = 25
			// Memory Score: ((10000 - 5000) * MaxNodeScore) / 10000 = 50
			// Node1 Score: (25 + 50) / 2 = 37
			// Node2 scores on 0-MaxNodeScore scale

			// resources["intel.com/bar"] = 5
			// Node1 scores (used resources) on 0-10 scale
			// used + requested / available
			// intel.com/foo Score: { (0 + 4) / 8 } * 10 = 0
			// intel.com/bar Score: { (0 + 2) / 4 } * 10 = 0
			// Node1 Score: (0.25 * 3) + (0.5 * 5) / 8 = 5
			// resources["intel.com/foo"] = 3
			// resources["intel.com/bar"] = 5
			// Node2 scores (used resources) on 0-10 scale
			// used + requested / available

	}{
		{
			// Node1 scores (used resources) on 0-MaxNodeScore scale
			// CPU Score: (0 * MaxNodeScore)  / 4000 = 0
			// Memory Score: (0 * MaxNodeScore) / 10000 = 0
			// Node1 Score: (0 + 0) / 2 = 0
			// Node2 scores (used resources) on 0-MaxNodeScore scale
			// CPU Score: (0 * MaxNodeScore) / 4000 = 0
			// Memory Score: (0 * MaxNodeScore) / 10000 = 0
			// Node2 Score: (0 + 0) / 2 = 0

		wg.Wait()
		for i := range nodesScores {
			if score, ok := allNodeExtendersScores[nodes[i].Node().Name]; ok {
				nodesScores[i].Scores = append(nodesScores[i].Scores, score.Scores...)
				nodesScores[i].TotalScore += score.TotalScore
			}
		}
	}

	if loggerVTen.Enabled() {
		for i := range nodesScores {

// have a deterministic ordering in which K8sObjects are applied.
func (os K8sObjects) Sort(score func(o *K8sObject) int) {
	sort.Slice(os, func(i, j int) bool {
		iScore := score(os[i])
		jScore := score(os[j])
		return iScore < jScore ||
			(iScore == jScore &&
				os[i].Group < os[j].Group) ||
			(iScore == jScore &&

	KubeProxyOOMScoreAdj  int = -999
	guaranteedOOMScoreAdj int = -997
	besteffortOOMScoreAdj int = 1000
)

// GetContainerOOMScoreAdjust returns the amount by which the OOM score of all processes in the
// container should be adjusted.
// The OOM score of a process is the percentage of memory it consumes
// multiplied by 10 (barring exceptional cases) + a configurable quantity which is between -1000

// NodePluginScores is a struct with node name and scores for that node.
type NodePluginScores struct {
	// Name is node name.
	Name string
	// Scores is scores from plugins and extenders.
	Scores []PluginScore
	// TotalScore is the total score in Scores.
	TotalScore int64
}

// PluginScore is a struct with plugin/extender name and score.
type PluginScore struct {
	// Name is the name of plugin or extender.

	if err != nil {
		return 0, framework.AsStatus(err)
	}

	score := int64(countIntolerableTaintsPreferNoSchedule(node.Spec.Taints, s.tolerationsPreferNoSchedule))
	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 {