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

			Name:   nodes[index].Node().Name,
			Scores: make([]framework.PluginScore, len(plugins)),
		}

		for i, pl := range plugins {
			weight := f.scorePluginWeight[pl.Name()]
			nodeScoreList := pluginToNodeScores[pl.Name()]
			score := nodeScoreList[index].Score

			if score > framework.MaxNodeScore || score < framework.MinNodeScore {

		value = fgValue
	}

	// Limit the score values to the range [-1.0, 1.0].
	score = math.Max(-1.0, math.Min(1.0, score))

	// Reduce saturation near score=0 (so it is colored grey, rather than yellow).
	if math.Abs(score) < 0.2 {
		saturation *= math.Abs(score) / 0.2
	}

	// Apply 'shift' to move scores away from 0.0 (grey).
	if score > 0.0 {
		score = math.Pow(score, (1.0 - shift))
	}
	if score < 0.0 {

				&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)

			}
			// The bigger the earliestStartTimeOnNode, the higher the score.
			return earliestStartTimeOnNode.UnixNano()
		}

		// Each scoreFunc scores the nodes according to specific rules and keeps the name of the node
		// with the highest score. If and only if the scoreFunc has more than one node with the highest
		// score, we will execute the other scoreFunc in order of precedence.
		scoreFuncs = []func(string) int64{

			for _, n := range test.nodes {
				nodeName := n.ObjectMeta.Name
				score, status := p.(framework.ScorePlugin).Score(ctx, state, test.pod, nodeName)
				if !status.IsSuccess() {
					t.Errorf("unexpected error: %v", status)
				}
				gotList = append(gotList, framework.NodeScore{Name: nodeName, Score: score})
			}

using the `tf.gather operation`.  For example:
  selected_indices = tf.image.non_max_suppression_v2(
      boxes, scores, max_output_size, iou_threshold, score_threshold)
  selected_boxes = tf.gather(boxes, selected_indices)
  }];

  let arguments = (ins
    TFL_FpTensor:$boxes,
    TFL_FpTensor:$scores,
    TFL_I32Tensor:$max_output_size,
    TFL_FpTensor:$iou_threshold,
    TFL_FpTensor:$score_threshold
  );

//
// If `numCPUs` is bigger than the total number of CPUs in a core, and there are
// free (i.e. all CPUs in them are free) cores, the function takes as many entire free cores as possible.
// The cores are taken from one socket at a time, and the sockets are considered by
// ascending order of free CPUs in them. For a given socket, the cores are taken one NUMA node at a time,

lawyers can talk about it for five minutes, without coming to a total disagreement as to all the premises. Innumerable children have been born into the cause; innumerable young people have married into it; innumerable old people have died out of it. Scores of persons have deliriously found themselves made parties in Jarndyce and Jarndyce, without knowing how or why; whole families have inherited legendary hatreds with the suit. The little plaintiff or defendant, who was promised a new rocking-horse...

}

// ScopeTopic returns a ControlZ topic that allows visualization of process logging scopes.
func ScopeTopic() fw.Topic {
	return scopeTopic{}
}

func (scopeTopic) Title() string {
	return "Logging Scopes"
}

func (scopeTopic) Prefix() string {
	return "scope"
}

func getScopeInfo(s *log.Scope) *scopeInfo {
	return &scopeInfo{
		Name:            s.Name(),
		Description:     s.Description(),