"text/tabwriter"

	"github.com/spf13/cobra"

	"istio.io/istio/istioctl/pkg/cli"
	"istio.io/istio/istioctl/pkg/clioptions"
	"istio.io/istio/pkg/cluster"
)

// TODO move to multicluster package; requires exposing some private funcs/vars in this package
func ClustersCommand(ctx cli.Context) *cobra.Command {
	var opts clioptions.ControlPlaneOptions
	cmd := &cobra.Command{
		Use:   "remote-clusters",

# to the coordinator.

[short] skip
env GOCACHE=$WORK/cache

# Start fuzzing. The worker crashes after 100 iterations.
# The fuzz function writes the crashing input to "want" before exiting.
# The fuzzing engine reconstructs the crashing input and saves it to testdata.
! exists want
! go test -fuzz=. -parallel=1 -fuzztime=110x -fuzzminimizetime=10x -v

		if i != 0 {
			fmt.Println("pthread_create failed:", i)
			// Exit with 0 because parent expects us to crash.
			return
		}

		// We should crash immediately, but give it plenty of
		// time before failing (by exiting 0) in case we are
		// running on a slow system.
		time.Sleep(5 * time.Second)
		return
	}

	cmd := exec.Command(os.Args[0], "CgoExternalThreadSignal", "crash")
	cmd.Dir = os.TempDir() // put any core file in tempdir

                        grammarMetadata.getImportVocab());
                if (importVocabGrammarFileMetadata == null) {
                    LOGGER.warn("unable to locate grammar exporting specified import vocab ["
                            + grammarMetadata.getImportVocab() + "]");
                } else if (!importVocabGrammarFileMetadata.getFilePath().equals(grammarFileMetadata.getFilePath())) {

      CreateExportedModel(signature_keys, tags, quantization_config,
                          WeightOnlyPtqComponent::kName, *function_aliases,
                          *ctx, *module));

  // Remove the `tpu` tag for exporting because the output quantized model is
  // essentially a CPU model.
  tags.erase("tpu");

  py_function_library.SaveExportedModel(
      dst_saved_model_path, post_calibrated_exported_model,

 *
 * These extension functions allow an interface to implement a dependencies block in the Kotlin DSL by
 * - exposing an instance of [DependencyCollector] to add dependencies without explicitly calling [DependencyCollector.add] or [DependencyCollector.addConstraint]
 * - exposing an instance of [DependencyModifier] to modify dependencies without explicitly calling [DependencyModifier.modify]
 *

    const xla::LocalExecutable& executable) {
  if (executable.executable() == nullptr) {
    return errors::FailedPrecondition(
        "Executable not found for serialization.");
  }

  VLOG(1)
      << "Exporting xla::LocalExecutable as an xla::AotCompilationResult and "
         "serializing it to string.";
  xla::Compiler* compiler = client_->backend().compiler();
  auto exported = compiler->Export(executable.executable());

semantics of the WeakReference type.

Using go:linkname to access this package and the functions it references
is explicitly forbidden by the toolchain because the semantics of this
package have not gone through the proposal process. By exposing this
functionality, we risk locking in the existing semantics due to Hyrum's Law.

If you believe you have a good use-case for weak references not already
covered by the standard library, file a proposal issue at

// election code the health check code. It allows us to provide health
// status about the leader election. Most specifically about if the leader
// has failed to renew without exiting the process. In that case we should
// report not healthy and rely on the kubelet to take down the process.
type HealthzAdaptor struct {
	pointerLock sync.Mutex
	le          *LeaderElector
	timeout     time.Duration
}

  <modelVersion>4.0.0</modelVersion>
  <groupId>com.gradle.tutorial</groupId>
  <artifactId>tutorial</artifactId>
  <version>1.0</version>
  <packaging>pom</packaging>
</project>
----

== Step 5. Exploring Plugins
Plugins are used to extend build capability and customize Gradle.

Using plugins is the **primary mechanism for organizing build logic**.