static final Waiter TOMBSTONE = new Waiter(false /* ignored param */);

    @CheckForNull volatile Thread thread;
    @CheckForNull volatile Waiter next;

    /**
     * Constructor for the TOMBSTONE, avoids use of ATOMIC_HELPER in case this class is loaded
     * before the ATOMIC_HELPER. Apparently this is possible on some android platforms.
     */
    Waiter(boolean unused) {}

    Waiter() {

    static final Waiter TOMBSTONE = new Waiter(false /* ignored param */);

    @CheckForNull volatile Thread thread;
    @CheckForNull volatile Waiter next;

    /**
     * Constructor for the TOMBSTONE, avoids use of ATOMIC_HELPER in case this class is loaded
     * before the ATOMIC_HELPER. Apparently this is possible on some android platforms.
     */
    Waiter(boolean unused) {}

    Waiter() {

    auto original_point = rewriter.saveInsertionPoint();
    rewriter.setInsertionPointAfter(op->getParentOfType<func::FuncOp>());
    SymbolTable manager(op->getParentOfType<ModuleOp>());

    // Constructs `then_branch`, which is executed when `if_cond` evaluates to
    // true.
    auto then_branch_op =
        rewriter.create<func::FuncOp>(loc, "cond_true", func_type);

	o.Lifecycle = lc
	o.Versioning = vc
	o.Replication = replicationConfig{
		Config:  replCfg,
		remotes: tgts,
	}
	o.Retention = rcfg
}

// newMetacache constructs a new metacache from the options.
func (o listPathOptions) newMetacache() metacache {
	return metacache{
		id:          o.ID,
		bucket:      o.Bucket,
		root:        o.BaseDir,
		recursive:   o.Recursive,

					globalScannerMetrics.incTime(scannerMetricYield, wantSleep)
				}
				return
			}
		}
	}
}

// Update the current settings and cycle all waiting.
// Parameters are the same as in the constructor.
func (d *dynamicSleeper) Update(factor float64, maxWait time.Duration) error {
	d.mu.Lock()
	defer d.mu.Unlock()
	if math.Abs(d.factor-factor) < 1e-10 && d.maxSleep == maxWait {
		return nil
	}

		return a, e
	default:
		base.Fatalf("weird aux: %s", v.LongString())
		return nil, e
	}
}

type livenessFuncCache struct {
	be          []blockEffects
	livenessMap Map
}

// Constructs a new liveness structure used to hold the global state of the
// liveness computation. The cfg argument is a slice of *BasicBlocks and the
// vars argument is a slice of *Nodes.

=====
[.multi-language-sample]
======
.build-logic/src/main/kotlin/my-plugin.gradle.kts
[source,kotlin]
----
@CacheableRule
abstract class AddDependenciesRule @Inject constructor(val dependencies: List<String>) : ComponentMetadataRule {
    override fun execute(context: ComponentMetadataContext) {
        listOf("compile", "runtime").forEach { base ->
            context.details.withVariant(base) {

```

`tf.fill` differs from `tf.constant` in a few ways:

*   `tf.fill` only supports scalar contents, whereas `tf.constant` supports
    Tensor values.
*   `tf.fill` creates an Op in the computation graph that constructs the actual
    Tensor value at runtime. This is in contrast to `tf.constant` which embeds
    the entire Tensor into the graph with a `Const` node.
*   Because `tf.fill` evaluates at graph runtime, it supports dynamic shapes

- Reintroduce resourcequota.NewMonitor constructor for other consumers ([#120777](https://github.com/kubernetes/kubernetes/pull/120777), [@atiratree](https://github.com/atiratree)) [SIG Apps]