"istio.io/istio/pkg/security"
	netutil "istio.io/istio/pkg/util/net"
	"istio.io/istio/pkg/util/sets"
)

// deltaConfigTypes are used to detect changes and trigger delta calculations. When config updates has ONLY entries
// in this map, then delta calculation is triggered.
var deltaConfigTypes = sets.New(kind.ServiceEntry.String(), kind.DestinationRule.String())

    // We need constant input shape to perform padding calculations later.
    DenseIntElementsAttr input_shape_attr;
    if (!matchPattern(op.getShape(), m_Constant(&input_shape_attr)))
      return failure();

    // We also need constant begin/end indices and strides to perform padding
    // calculations.
    // Bounded shape after performing strided slice
    SmallVector<int64_t, 4> shape;

	// When adopting Pods, this operation adds an ownerRef and finalizers.
	pods, err = cm.ClaimPods(ctx, pods)
	if err != nil {
		return pods, err
	}
	// Set finalizer on adopted pods for the remaining calculations.
	for i, p := range pods {
		adopted := true
		for _, r := range p.OwnerReferences {
			if r.UID == j.UID {
				adopted = false
				break
			}
		}
		if adopted && !hasJobTrackingFinalizer(p) {

		case "content-length":
			// Signature-V4 spec excludes Content-Length from signed headers list for signature calculation.
			// But some clients deviate from this rule. Hence we consider Content-Length for signature
			// calculation to be compatible with such clients.
			extractedSignedHeaders.Set(header, strconv.FormatInt(r.ContentLength, 10))
		default:
			return nil, ErrUnsignedHeaders

//
// The same applies to Darwin/ARM64, with 2^27 byte threshold.
//
// Similarly for ARM, we split sections (at 2^25 bytes) to avoid
// inconsistencies between the Go linker's reachability calculations
// (e.g. will direct call from X to Y need a trampoline) and similar
// machinery in the external linker; see #58425 for more on the
// history here.
func splitTextSections(ctxt *Link) bool {

    base(title, targets, desc=''):
      heatmap.new(title)
      + heatmap.queryOptions.withTargets(targets)
      + heatmap.queryOptions.withInterval('1m')
      + options.calculation.xBuckets.withMode('size')
      + options.calculation.xBuckets.withValue('1min')
      + options.withCellGap(0)
      + options.color.withMode('scheme')
      + options.color.withScheme('Spectral')
      + options.color.withSteps(128)

- Optimized `NodeUnschedulable` Filter to avoid unnecessary calculations. ([#119399](https://github.com/kubernetes/kubernetes/pull/119399), [@wackxu](https://github.com/wackxu))

         "gridPos": {
            "h": 10,
            "w": 8,
            "x": 8,
            "y": 14
         },
         "id": 13,
         "interval": "1m",
         "options": {
            "calculation": {
               "xBuckets": {
                  "mode": "size",
                  "value": "1min"
               }
            },
            "cellGap": 0,
            "color": {

private class BuilderCache<From, To : KaSymbol> {
    private val cache = ContainerUtil.createConcurrentWeakKeySoftValueMap<From, To>()

    inline fun <reified S : To> cache(key: From, calculation: () -> S): S {
        val value = cache.getOrPut(key, calculation)
        return value as? S
            ?: errorWithAttachment("Cannot cast ${value::class} to ${S::class}") {
                withEntry("value", value.toString())
            }

Dequantize the 'input' tensor into a float or bfloat16 Tensor.
  }];

  let description = [{
[min_range, max_range] are scalar floats that specify the range for
the output. The 'mode' attribute controls exactly which calculations are
used to convert the float values to their quantized equivalents.

In 'MIN_COMBINED' mode, each value of the tensor will undergo the following:

```
if T == qint8: in[i] += (range(T) + 1)/ 2.0