}
	if state.hasStaticBindings {
		return nil
	}
	return framework.NewStatus(framework.Skip)
}

// Score invoked at the score extension point.
func (pl *VolumeBinding) Score(ctx context.Context, cs *framework.CycleState, pod *v1.Pod, nodeName string) (int64, *framework.Status) {
	if pl.scorer == nil {
		return 0, nil
	}
	state, err := getStateData(cs)
	if err != nil {
		return 0, framework.AsStatus(err)
	}

)

// nodeResourceStrategyTypeMap maps strategy to scorer implementation
var nodeResourceStrategyTypeMap = map[config.ScoringStrategyType]scorer{
	config.LeastAllocated: func(args *config.NodeResourcesFitArgs) *resourceAllocationScorer {
		resources := args.ScoringStrategy.Resources
		return &resourceAllocationScorer{
			Name:      string(config.LeastAllocated),
			scorer:    leastResourceScorer(resources),
			resources: resources,
		}

	}
	return s, nil
}

// Name returns name of the plugin. It is used in logs, etc.
func (ba *BalancedAllocation) Name() string {
	return BalancedAllocationName
}

// Score invoked at the score extension point.
func (ba *BalancedAllocation) Score(ctx context.Context, state *framework.CycleState, pod *v1.Pod, nodeName string) (int64, *framework.Status) {
	nodeInfo, err := ba.handle.SnapshotSharedLister().NodeInfos().Get(nodeName)

	var maxCount int64 = math.MinInt64
	for i := range scores {
		score := scores[i].Score
		if score > maxCount {
			maxCount = score
		}
		if score < minCount {
			minCount = score
		}
	}

	maxMinDiff := maxCount - minCount
	for i := range scores {
		fScore := float64(0)
		if maxMinDiff > 0 {
			fScore = float64(framework.MaxNodeScore) * (float64(scores[i].Score-minCount) / float64(maxMinDiff))
		}

	var minScore int64 = math.MaxInt64
	var maxScore int64
	for i, score := range scores {
		// it's mandatory to check if <score.Name> is present in m.IgnoredNodes
		if s.IgnoredNodes.Has(score.Name) {
			scores[i].Score = invalidScore
			continue
		}
		if score.Score < minScore {
			minScore = score.Score
		}
		if score.Score > maxScore {
			maxScore = score.Score
		}
	}

	for i := range scores {

}

// sumImageScores returns the sum of image scores of all the containers that are already on the node.
// Each image receives a raw score of its size, scaled by scaledImageScore. The raw scores are later used to calculate
// the final score.
func sumImageScores(nodeInfo *framework.NodeInfo, pod *v1.Pod, totalNumNodes int) int64 {
	var sum int64

				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)
				}
			}
		})
	}

			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