// Metrics to track ephemeral container usage by this kubelet
	ManagedEphemeralContainersKey = "managed_ephemeral_containers"

	// Metrics to track the CPU manager behavior
	CPUManagerPinningRequestsTotalKey = "cpu_manager_pinning_requests_total"
	CPUManagerPinningErrorsTotalKey   = "cpu_manager_pinning_errors_total"

	// Metrics to track the Memory manager behavior

		tracker.ResponseWriteTracker.TrackDuration(d)
	}
}

// TrackAPFQueueWaitLatency is used to track latency incurred
// by priority and fairness queues.
func TrackAPFQueueWaitLatency(ctx context.Context, d time.Duration) {
	if tracker, ok := LatencyTrackersFrom(ctx); ok {
		tracker.APFQueueWaitTracker.TrackDuration(d)
	}
}

// TrackDecodeLatency is used to track latency incurred inside the function

	"k8s.io/component-base/metrics/legacyregistry"
)

// JobControllerSubsystem - subsystem name used for this controller.
const JobControllerSubsystem = "job_controller"

var (
	// JobSyncDurationSeconds tracks the latency of Job syncs. Possible label
	// values:
	//   completion_mode: Indexed, NonIndexed
	//   result:          success, error
	//   action:          reconciling, tracking, pods_created, pods_deleted

        ModelContainer<?> model,
        CalculatedValueContainerFactory calculatedValueContainerFactory
    );

    /**
     * A cache of the defined dependencies for dependency configurations. This tracks the cached internal
     * dependency representations for these types so when constructing leaf configuration metadata
     * (resolvable and consumable), these conversions do not need to be executed multiple times.
     */

	g1 := t.Generation(1)

	// A running goroutine emits a task begin.
	b1 := g1.Batch(trace.ThreadID(0), 0)
	b1.Event("ProcStatus", trace.ProcID(0), go122.ProcRunning)
	b1.Event("GoStatus", trace.GoID(1), trace.ThreadID(0), go122.GoRunning)
	b1.Event("UserTaskBegin", trace.TaskID(2), trace.TaskID(0) /* 0 means no parent, not background */, "my task", testgen.NoStack)

	g2 := t.Generation(2)

namespace tensorflow {
namespace metrics {

namespace {

// Counter that tracks total number and `write_version` of SavedModels written.
auto* saved_model_write_counter = monitoring::Counter<1>::New(
    "/tensorflow/core/saved_model/write/count",
    "The number of SavedModels successfully written.", "write_version");

// Counter that tracks total number and `write_version` of SavedModels read.

import com.intellij.openapi.project.Project
import org.jetbrains.kotlin.analysis.api.lifetime.KtLifetimeToken
import org.jetbrains.kotlin.analysis.api.platform.KaEngineService

/**
 * [KaLifetimeTracker] is an *engine service* which tracks the current [KtLifetimeToken].
 *
 * It can be used in the implementation of custom lifetime tokens to check that the accessed token is in scope.
 */
public interface KaLifetimeTracker : KaEngineService {
    /**

import org.gradle.api.internal.tasks.TaskDependencyUsageTracker
import org.gradle.internal.configuration.problems.ProblemFactory
import org.gradle.internal.configuration.problems.ProblemsListener


/** Reports all usages of the tracked TaskDependency APIs as problems using the [problems] listener.

import java.util.Map;
import java.util.concurrent.ConcurrentHashMap;

import static java.util.Collections.emptyMap;

/**
 * Tracks plugin versions available at different {@link org.gradle.api.internal.initialization.ClassLoaderScope scopes}.
 */
@ServiceScope(Scope.Build.class)
public class PluginVersionTracker {

    final Map<ClassLoaderScope, Map<String, String>> pluginVersionsPerScope = new ConcurrentHashMap<>();

	// Write out the generator's state.
	if _, err := out.Write(trace.Generate()); err != nil {
		panic(err.Error())
	}
}

// Trace represents an execution trace for testing.
//
// It does a little bit of work to ensure that the produced trace is valid,
// just for convenience. It mainly tracks batches and batch sizes (so they're
// trivially correct), tracks strings and stacks, and makes sure emitted string