return TableCollectors.toImmutableTable(
        rowFunction, columnFunction, valueFunction, mergeFunction);
  }

  /**
   * Returns an empty immutable table.
   *
   * <p><b>Performance note:</b> the instance returned is a singleton.
   */
  @SuppressWarnings("unchecked")
  public static <R, C, V> ImmutableTable<R, C, V> of() {
    return (ImmutableTable<R, C, V>) SparseImmutableTable.EMPTY;
  }

        String quotedRootProjectDir = quote(rootProjectDir);
        String perfTestClasspathPattern = "(?:-cp.+\\\\build\\\\tmp\\\\performance-test-files.+?" + GRADLE_MAIN_CLASS_PATTERN_STR + ")";
        String buildDirClasspathPattern = "(?:-(classpath|cp) \"?" + quotedRootProjectDir + ".+?" + GRADLE_MAIN_CLASS_PATTERN_STR + ")";

   * all super-classes, that are annotated with {@code @Subscribe}. The cache is shared across all
   * instances of this class; this greatly improves performance if multiple EventBus instances are
   * created and objects of the same class are registered on all of them.
   */
  private static final LoadingCache<Class<?>, ImmutableList<Method>> subscriberMethodsCache =

 *       in any other way than how {@code Stopwatch} uses them.
 *   <li>An alternative source of nanosecond ticks can be substituted, for example for testing or
 *       performance reasons, without affecting most of your code.
 * </ul>
 *
 * <p>The one downside of {@code Stopwatch} relative to {@link System#nanoTime()} is that {@code

* Improve scheduler performance of MatchInterPodAffinity predicate. ([#57476](https://github.com/kubernetes/kubernetes/pull/57476), [@misterikkit](https://github.com/misterikkit))
* Improve scheduler performance of MatchInterPodAffinity predicate. ([#57477](https://github.com/kubernetes/kubernetes/pull/57477), [@misterikkit](https://github.com/misterikkit))

			return nil, fmt.Errorf("%w: %+v", ErrUnsupportedDataType, dest)
		}
		return nil, fmt.Errorf("%w: %s.%s", ErrUnsupportedDataType, modelType.PkgPath(), modelType.Name())
	}

	// Cache the Schema for performance,
	// Use the modelType or modelType + schemaTable (if it present) as cache key.
	var schemaCacheKey interface{}
	if specialTableName != "" {
		schemaCacheKey = fmt.Sprintf("%p-%s", modelType, specialTableName)

An alternative flow is when a pod is enrolled into ambient mode after it starts up.
In this case, the CNI Agent is watching for Pod events from the API server directly and performing the same setup.
Note this is done while the Pod is running, unlike the CNI plugin flow which occurs before the Pod starts.

Once the network is configured, the CNI Agent will signal to Ztunnel to start running within the Pod.

	case aggFnMin:
		return &aggVal{runningMin: FromInt(0)}
	case aggFnMax:
		return &aggVal{runningMax: FromInt(0)}
	default:
		return &aggVal{}
	}
}

// evalAggregationNode - performs partial computation using the
// current row and stores the result.
//
// On success, it returns (nil, nil).
func (e *FuncExpr) evalAggregationNode(r Record, tableAlias string) error {

	if oldLinux() {
		warnings = append(warnings, color.YellowBold("Detected Linux kernel version older than 4.0 release, there are some known potential performance problems with this kernel version. MinIO recommends a minimum of 4.x linux kernel version for best performance"))
	}

	maxProcs := runtime.GOMAXPROCS(0)
	cpuProcs := runtime.NumCPU()
	if maxProcs < cpuProcs {

 * the columns. The reverse is also available, associating a column with a row key / value map. Note
 * that, in some implementations, data access by column key may have fewer supported operations or
 * worse performance than data access by row key.
 *
 * <p>The methods returning collections or maps always return views of the underlying table.
 * Updating the table can change the contents of those collections, and updating the collections