"scaleUp":   "scaleUp is scaling policy for scaling Up. If not set, the default value is the higher of:\n  * increase no more than 4 pods per 60 seconds\n  * double the number of pods per 60 seconds\nNo stabilization is used.",

// PerChannel-DAG: %[[q_w2:.*]] = "tf.Const"() <{value = dense<{{[0-9]+}}> : tensor<2x3x3x2xi8>}> : () -> tensor<2x3x3x2xi8>
// PerChannel-DAG: %[[scale1:.*]] = "tf.Const"() <{value = dense<{{[0-9\.Ee\+\-]+}}> : tensor<3xf32>}> : () -> tensor<3xf32>
// PerChannel-DAG: %[[scale2:.*]] = "tf.Const"() <{value = dense<{{[0-9\.Ee\+\-]+}}> : tensor<6xf32>}> : () -> tensor<6xf32>

  // Zero scales we make the minimum fp value, this is because some flatbuffers
  // contain zero scale for zero values.
  llvm::SmallVector<double> scales;
  for (float scale : quant_params.scale) {
    if (scale == 0) {
      scales.push_back(std::numeric_limits<float>::min());
      continue;
    }
    scales.push_back(scale);
  }

  // Scale size can't be zero as it is checked before.

  // status defines current status of the scale. More info: https://git.k8s.io/community/contributors/devel/sig-architecture/api-conventions.md#spec-and-status. Read-only.
  // +optional
  optional ScaleStatus status = 3;
}

// ScaleSpec describes the attributes of a scale subresource
message ScaleSpec {
  // replicas is the number of observed instances of the scaled object.
  // +optional
  optional int32 replicas = 1;

	// 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
	Behavior *HorizontalPodAutoscalerBehavior
}

// HorizontalPodAutoscalerBehavior configures a scaling behavior for Up and Down direction
// (scaleUp and scaleDown fields respectively).
type HorizontalPodAutoscalerBehavior struct {

)

// ValidateScale validates a Scale and returns an ErrorList with any errors.
func ValidateScale(scale *autoscaling.Scale) field.ErrorList {
	allErrs := field.ErrorList{}
	allErrs = append(allErrs, apivalidation.ValidateObjectMeta(&scale.ObjectMeta, true, apimachineryvalidation.NameIsDNSSubdomain, field.NewPath("metadata"))...)

	if scale.Spec.Replicas < 0 {

	maxUnavailable := deploymentutil.MaxUnavailable(*deployment)

	// Check if we can scale down. We can scale down in the following 2 cases:
	// * Some old replica sets have unhealthy replicas, we could safely scale down those unhealthy replicas since that won't further
	//  increase unavailability.
	// * New replica set has scaled up and it's replicas becomes ready, then we can scale down old replica sets in a further step.
	//

                                      /*scale=*/1.0, /*zero_point=*/0);

  EXPECT_TRUE(quantized_type.getExpressedType().isF32());
}

TEST_F(CreateI8F32UniformQuantizedTypeTest, SignedQuantizedTypeSucceeds) {
  const UniformQuantizedType quantized_type =
      CreateI8F32UniformQuantizedType(UnknownLoc::get(&ctx_), ctx_,
                                      /*scale=*/1.0, /*zero_point=*/0);

			expectedNew: rs("foo-v3", 1, nil, newTimestamp),
			expectedOld: []*apps.ReplicaSet{rs("foo-v2", 5, nil, oldTimestamp), rs("foo-v1", 2, nil, olderTimestamp)},
		},
		// Scales up the new replica set.
		{
			name:          "leftover distribution: 3 -> 4",
			deployment:    newDeployment("foo", 4, nil, nil, nil, nil),
			oldDeployment: newDeployment("foo", 3, nil, nil, nil, nil),

  optional ScaleSpec spec = 2;

  // current status of the scale. More info: https://git.k8s.io/community/contributors/devel/sig-architecture/api-conventions.md#spec-and-status. Read-only.
  // +optional
  optional ScaleStatus status = 3;
}

// ScaleSpec describes the attributes of a scale subresource
message ScaleSpec {
  // desired number of instances for the scaled object.
  // +optional
  optional int32 replicas = 1;
}