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)
				}
			}
		})
	}

//	shape[0].Score for p < shape[0].Utilization
//	shape[n-1].Score for p > shape[n-1].Utilization
//
// and linear between points (p < shape[i].Utilization)
func BuildBrokenLinearFunction(shape FunctionShape) func(int64) int64 {
	return func(p int64) int64 {
		for i := 0; i < len(shape); i++ {
			if p <= int64(shape[i].Utilization) {
				if i == 0 {
					return shape[0].Score
				}

Low:1.2 High:1.6 Score:10 Communities:[[0 3 4 5 6 10] [1 7 9 12] [2 8 11]] Q=[10.5 26.7]
Low:1.6 High:1.6 Score:8 Communities:[[0 1 6 7 9 12] [2 8 11] [3 4 5 10]] Q=[5.56 39.8]
Low:1.6 High:1.8 Score:2 Communities:[[0 2 3 4 5 6 10] [1 7 8 9 11 12]] Q=[-1.82 48.6]
Low:1.8 High:2.3 Score:-6 Communities:[[0 2 3 4 5 6 8 10 11] [1 7 9 12]] Q=[-5 57.5]

				}
				score, status := p.(framework.ScorePlugin).Score(ctx, state, test.requestedPod, n.Name)
				if !status.IsSuccess() {
					t.Errorf("Score is expected to return success, but didn't. Got status: %v", status)
				}
				gotScores = append(gotScores, framework.NodeScore{Name: n.Name, Score: score})
			}

			if diff := cmp.Diff(test.expectedScores, gotScores); diff != "" {

			resources:      defaultResources,
		},
		{
			// CPU Score: ((4000 - 3000) *100) / 4000 = 25
			// Memory Score: ((10000 - 5000) *100) / 10000 = 50
			// Node1 Score: (25 * 1 + 50 * 2) / (1 + 2) = 41
			// CPU Score: ((6000 - 3000) *100) / 6000 = 50
			// Memory Score: ((10000 - 5000) *100) / 10000 = 50

// callsite: acrosscall.go:58:9|0 flagstr "" flagval 0 score 8 mask 0 maskstr ""
// <endcallsites>
// <endfuncpreamble>
func T_feeds_if_via_call(x int) {
	feedsif(x)
}

// acrosscall.go T_feeds_if_via_call_conditional 69 0 1
// ParamFlags
//   0 ParamMayFeedIfOrSwitch
// <endpropsdump>
// {"Flags":0,"ParamFlags":[64],"ResultFlags":null}
// callsite: acrosscall.go:71:10|0 flagstr "" flagval 0 score 8 mask 0 maskstr ""
// <endcallsites>

			expectedScores: []framework.NodeScore{{Name: "node1", Score: 95}, {Name: "node2", Score: 75}},
			resources:      defaultResources,
		},
		{
			// CPU Score: (3000 *100) / 4000 = 75
			// Memory Score: (5000 *100) / 10000 = 50
			// Node1 Score: (75 * 1 + 50 * 2) / (1 + 2) = 58
			// CPU Score: (3000 *100) / 6000 = 50
			// Memory Score: (5000 *100) / 10000 = 50
			// Node2 Score: (50 * 1 + 50 * 2) / (1 + 2) = 50

			name:         "pod with multiple large images, node2 is preferred",
		},
		{
			// Pod: gcr.io/30 gcr.io/40

			// Node1
			// Image: gcr.io/20:latest 20MB, gcr.io/30:latest 30MB, gcr.io/40:latest 40MB
			// Score: 100 * (30M + 40M * 1/2 - 23M) / (1000M * 2 - 23M) = 1

			// Node2
			// Image: 100 * (30M - 23M) / (1000M * 2 - 23M) = 0
			// Score: 0

		fmt.Printf("Low:%.2v High:%.2v Score:%v Communities:%v Q=%.3v\n",
			d.Low, d.High, d.Score, comm, community.Q(g, comm, d.Low))
	}

	// Output:
	// Low:0.1 High:0.29 Score:14 Communities:[[0 1 2 3 4 5]] Q=0.9
	// Low:0.29 High:2.3 Score:12 Communities:[[0 1 2] [3 4 5]] Q=0.714
	// Low:2.3 High:3.5 Score:4 Communities:[[0 1] [2] [3] [4 5]] Q=-0.31
	// Low:3.5 High:10 Score:0 Communities:[[0] [1] [2] [3] [4] [5]] Q=-0.607
}

	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))
		}