},
			}
			stabilizationWindow := int32(c.RandUint64())
			maxPolicy := autoscaling.MaxPolicySelect
			minPolicy := autoscaling.MinPolicySelect
			s.Behavior = &autoscaling.HorizontalPodAutoscalerBehavior{
				ScaleUp: &autoscaling.HPAScalingRules{
					StabilizationWindowSeconds: &stabilizationWindow,
					SelectPolicy:               &maxPolicy,
					Policies: []autoscaling.HPAScalingPolicy{
						{

  // quantization dim is 3, so we can cache all the converters.
  ShapedType type = attr.getType();
  std::size_t dim_size = type.getDimSize(quantization_dim_);
  if (dim_size != scales_.size()) {
    return {};
  }
  SmallVector<UniformQuantizedValueConverter, 4> converters;
  converters.reserve(dim_size);
  for (int i = 0, e = dim_size; i != e; ++i) {
    converters.push_back(getPerChunkConverter(i));

// in the range [a, b].
//
// This distribution is *not* normalized (it is not a probability
// distribution). This makes it easier to work with as it's being
// updated.
//
// It is represented as the sum of scaled uniform distribution
// functions and Dirac delta functions (which are treated as
// degenerate uniform distributions).
type mud struct {
	sorted, unsorted []edge

						"com.example.stable.v1.CRD1":                      {},
						"com.example.stable.v1.CRD2":                      {},
					},
				},
			},
		},
		{
			name: "two CRDs with scale",
			specs: []*spec3.OpenAPI{{
				Paths: &spec3.Paths{
					Paths: map[string]*spec3.Path{
						"/apis/stable.example.com/v1/crd1": {},
					},
				},
				Components: &spec3.Components{

rules:
  - apiGroups: [""]
    resources: ["nodes"]
    verbs: ["list", "watch"]
  - apiGroups: [""]
    resources: ["replicationcontrollers/scale"]
    verbs: ["get", "update"]
  - apiGroups: ["apps"]
    resources: ["deployments/scale", "replicasets/scale"]
    verbs: ["get", "update"]
# Remove the configmaps rule once below issue is fixed:
# kubernetes-incubator/cluster-proportional-autoscaler#16
  - apiGroups: [""]

	EXTRACTPS $4, X2, (BX)          // ERROR "invalid instruction"
	EXTRACTPS $-1, X2, (BX)         // ERROR "invalid instruction"
	// VSIB addressing does not permit non-vector (X/Y)
	// scaled index register.
	VPGATHERDQ X12,(R13)(AX*2), X11 // ERROR "invalid instruction"
	VPGATHERDQ X2, 664(BX*1), X1    // ERROR "invalid instruction"
	VPGATHERDQ Y2, (BP)(AX*2), Y1   // ERROR "invalid instruction"

// Converts tf.FusedBatchNormV3 into a sequence of more primitive arithmetic
// operations. Specifically, performs the following calculation:
//
//   (x - mean) * scale / sqrt(variance + epsilon) + offset
//
// Let multiplier = scale / sqrt(variance + epsilon),
// to compute
//   (x - mean) * scale / sqrt(variance + epsilon) + offset,
// is then to compute
//   (x * multiplier) + (offset - mean * multiplier).
//

# CHECK-NEXT:          scale: [ 0.015686 ],
# CHECK-NEXT:          zero_point: [ 128 ]
# CHECK-NEXT:        },
# CHECK-NEXT:        has_rank: true
# CHECK-NEXT:      }, {
# CHECK-NEXT:        shape: [ 4 ],
# CHECK-NEXT:        type: UINT8,
# CHECK-NEXT:        buffer: 2,
# CHECK-NEXT:        name: "input1",
# CHECK-NEXT:        quantization: {
# CHECK-NEXT:          scale: [ 0.023529 ],

    prometheus.io/scrape: "true"

  # Additional labels to apply on the pod level
  podLabels: {}

  # Pod resource configuration
  resources:
    requests:
      cpu: 200m
      # Ztunnel memory scales with the size of the cluster and traffic load
      # While there are many factors, this is enough for ~200k pod cluster or 100k concurrently open connections.
      memory: 512Mi

// in this map are the packages and objects that may be relevant to the
// current analysis unit.
//
// Packages in the map that are only indirectly imported may be
// incomplete (!pkg.Complete()).
//
// This function scales very poorly with packages' transitive object
// references, which can be more than a million for each package near
// the top of a large project. (This was a significant contributor to
// #60621.)