resultBuf.append(b.getClass().getSimpleName()).append(" : ").append(count).append('\n');
            } catch (final Exception e) {
                logger.warn("Failed to update scores.", e);
                resultBuf.append(e.getMessage()).append('\n');
            }
        });
        return resultBuf.toString();
    }

    protected void addScoreBooster(final ScoreBooster scoreBooster) {

kind: Deployment
metadata:
  name: fluentd-gcp-scaler
  namespace: kube-system
  labels:
    k8s-app: fluentd-gcp-scaler
    version: v0.5.1
    addonmanager.kubernetes.io/mode: Reconcile
spec:
  selector:
    matchLabels:
      k8s-app: fluentd-gcp-scaler
  template:
    metadata:
      labels:
        k8s-app: fluentd-gcp-scaler
    spec:
      serviceAccountName: fluentd-gcp-scaler
      containers:

			// scorePlugin1 Score returns 1, weight =1, so want=1.
			// scoreWithNormalizePlugin1 Score returns 3, but NormalizeScore overrides to 4, weight=1, so want=4.
			// scoreWithNormalizePlugin2 Score returns 4, but NormalizeScore overrides to 5, weight=2, so want=10.
			want: []framework.NodePluginScores{
				{
					Name: "node1",
					Scores: []framework.PluginScore{
						{
							Name:  scorePlugin1,
							Score: 1,
						},

		count += s.preferredNodeAffinity.Score(node)
	}

	return count, nil
}

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

// ScoreExtensions of the Score plugin.

}

// storeOrder orders values with respect to stores. That is,
// if v transitively depends on store s, v is ordered after s,
// otherwise v is ordered before s.
// Specifically, values are ordered like
//
//	store1
//	NilCheck that depends on store1
//	other values that depends on store1
//	store2
//	NilCheck that depends on store2
//	other values that depends on store2
//	...
//

		score, tmask = adjustScore(panicPathAdj, score, tmask)
	}
	if csflags&CallSiteInInitFunc != 0 {
		score, tmask = adjustScore(initFuncAdj, score, tmask)
	}

	// Then adjustments to encourage inlining in selected cases.
	if csflags&CallSiteInLoop != 0 {
		score, tmask = adjustScore(inLoopAdj, score, tmask)
	}

	// Stop here if no callee props.
	if calleeProps == nil {
		cs.Score, cs.ScoreMask = score, tmask

	// or phrases begin with a single word on the previous line.

	// A score is the score (also called weight) for a given line.
	// add and cmp add and compare scores.
	type score struct {
		hi int64
		lo int64
	}
	add := func(s, t score) score { return score{s.hi + t.hi, s.lo + t.lo} }
	cmp := func(s, t score) int {
		switch {
		case s.hi < t.hi:
			return -1
		case s.hi > t.hi:
			return +1

	PostFilter PluginSet

	// PreScore is a list of plugins that are invoked before scoring.
	PreScore PluginSet

	// Score is a list of plugins that should be invoked when ranking nodes that have passed the filtering phase.
	Score PluginSet

	// Reserve is a list of plugins invoked when reserving/unreserving resources
	// after a node is assigned to run the pod.
	Reserve PluginSet

				&v1.Service{Spec: v1.ServiceSpec{Selector: map[string]string{"foo": ""}}},
			},
			want: []framework.NodeScore{
				// Same scores as if we were using one spreading constraint.
				{Name: "node-a", Score: 44},
				{Name: "node-b", Score: 66},
				{Name: "node-c", Score: 77},
				{Name: "node-d", Score: 100},
			},
		},
		{
			// matching pods spread as 4/2/1/~3~ (node4 is not a candidate)

kind: RoleBinding
metadata:
  name: fluentd-gcp-scaler-binding
  namespace: kube-system
  labels:
    kubernetes.io/cluster-service: "true"
    addonmanager.kubernetes.io/mode: Reconcile
roleRef:
  apiGroup: rbac.authorization.k8s.io
  kind: Role
  name: system:fluentd-gcp-scaler
subjects:
- kind: ServiceAccount
  name: fluentd-gcp-scaler