// +listType=atomic
  repeated MetricSpec metrics = 4;

  // behavior configures the scaling behavior of the target
  // in both Up and Down directions (scaleUp and scaleDown fields respectively).
  // If not set, the default HPAScalingRules for scale up and scale down are used.
  // +optional
  optional HorizontalPodAutoscalerBehavior behavior = 5;
}

{
  "kind": "Scale",
  "apiVersion": "apps/v1beta1",
  "metadata": {
    "name": "nameValue",
    "generateName": "generateNameValue",
    "namespace": "namespaceValue",
    "selfLink": "selfLinkValue",
    "uid": "uidValue",
    "resourceVersion": "resourceVersionValue",
    "generation": 7,
    "creationTimestamp": "2008-01-01T01:01:01Z",
    "deletionTimestamp": "2009-01-01T01:01:01Z",
    "deletionGracePeriodSeconds": 10,
    "labels": {

SataQiu <******@****.***> 1713430345 +0800

apiVersion: apps/v1beta1
kind: Scale
metadata:
  annotations:
    annotationsKey: annotationsValue
  creationTimestamp: "2008-01-01T01:01:01Z"
  deletionGracePeriodSeconds: 10
  deletionTimestamp: "2009-01-01T01:01:01Z"
  finalizers:
  - finalizersValue
  generateName: generateNameValue
  generation: 7
  labels:
    labelsKey: labelsValue
  managedFields:
  - apiVersion: apiVersionValue
    fieldsType: fieldsTypeValue

// in both Up and Down directions (scaleUp and scaleDown fields respectively).
type HorizontalPodAutoscalerBehavior struct {
	// scaleUp is scaling policy for scaling Up.
	// If not set, the default value is the higher of:
	//   * increase no more than 4 pods per 60 seconds
	//   * double the number of pods per 60 seconds
	// No stabilization is used.
	// +optional

SataQiu <******@****.***> 1713430345 +0800

			sum += scaledImageScore(state, totalNumNodes)
		}
	}
	return sum
}

// scaledImageScore returns an adaptively scaled score for the given state of an image.
// The size of the image is used as the base score, scaled by a factor which considers how much nodes the image has "spread" to.
// This heuristic aims to mitigate the undesirable "node heating problem", i.e., pods get assigned to the same or

      "pdID": "pdIDValue",
      "fsType": "fsTypeValue"
    },
    "portworxVolume": {
      "volumeID": "volumeIDValue",
      "fsType": "fsTypeValue",
      "readOnly": true
    },
    "scaleIO": {
      "gateway": "gatewayValue",
      "system": "systemValue",
      "secretRef": {
        "name": "nameValue",
        "namespace": "namespaceValue"
      },
      "sslEnabled": true,

        monitors:
        - monitorsValue
        pool: poolValue
        readOnly: true
        secretRef:
          name: nameValue
          namespace: namespaceValue
        user: userValue
      scaleIO:
        fsType: fsTypeValue
        gateway: gatewayValue
        protectionDomain: protectionDomainValue
        readOnly: true
        secretRef:
          name: nameValue
          namespace: namespaceValue

    func.func @main(%arg0 : tensor<1xf32>) -> tensor<1xf32> {
      %scales = "tf.Const"() { value = dense<1.0> : tensor<f32> } : () -> tensor<f32>
      %zps = "tf.Const"() { value = dense<3> : tensor<i32> } : () -> tensor<i32>

      %0 = "tf.UniformQuantize"(%arg0, %scales, %zps) {
        quantization_axis = -1 : i64, quantization_min_val = -128 : i64, quantization_max_val = 127 : i64