/**
 * Implementation of {@code Table} whose iteration ordering across row keys is sorted by their
 * natural ordering or by a supplied comparator. Note that iterations across the columns keys for a
 * single row key may or may not be ordered, depending on the implementation. When rows and columns
 * are both sorted, it's easier to use the {@link TreeBasedTable} subclass.
 *

	if s == nil {
		return ""
	}
	return hex.EncodeToString(s[:])
}

func makeZeroSubHandlerID(id HandlerID) subHandlerID {
	return subHandlerID{byte(id)}
}

type handlers struct {
	single    [handlerLast]SingleHandlerFn
	stateless [handlerLast]*StatelessHandler
	streams   [handlerLast]*StreamHandler

	subSingle    map[subHandlerID]SingleHandlerFn
	subStateless map[subHandlerID]*StatelessHandler

          assertFalse(desc, isGuarded(method));
        } else {
          assertTrue(desc, isGuarded(method));
        }
        // we can't make an assumption about isTimed() because now we have single-parameter methods
        // that accept a java.time.Duration
        assertFalse(desc, isLongTimeUnitBased(method));
        break;
      case 2:
        if (isDurationBased(method)) {

   */
  @SuppressWarnings("unchecked")
  public static <K extends Comparable<?>, V> ImmutableRangeMap<K, V> of() {
    return (ImmutableRangeMap<K, V>) EMPTY;
  }

  /** Returns an immutable range map mapping a single range to a single value. */
  public static <K extends Comparable<?>, V> ImmutableRangeMap<K, V> of(Range<K> range, V value) {
    return new ImmutableRangeMap<>(ImmutableList.of(range), ImmutableList.of(value));
  }

   * operation takes amortized linear time in the length of {@code elements}.
   *
   * <p>If all input data to this {@code TopKSelector} is in a single {@code Iterable}, prefer
   * {@link Ordering#leastOf(Iterable, int)}, which provides a simpler API for that use case.
   */
  public void offerAll(Iterable<? extends T> elements) {
    offerAll(elements.iterator());
  }

   * The table size is doubled upon further contention until
   * reaching the nearest power of two greater than or equal to the
   * number of CPUS. Table slots remain empty (null) until they are
   * needed.
   *
   * A single spinlock ("busy") is used for initializing and
   * resizing the table, as well as populating slots with new Cells.
   * There is no need for a blocking lock; when the lock is not

			tests = append(tests, test{
				name: fmt.Sprint(a.GetTypeString(), "!=", b.GetTypeString()),
				fields: fields{
					a: *a, b: *b,
				},
				// Only Null == Null
				wantOk: a.IsNull() && b.IsNull() && i == 0 && j == 0,
			})
		}
	}
	for _, tt := range tests {
		t.Run(tt.name, func(t *testing.T) {
			if gotOk := tt.fields.a.Equals(tt.fields.b); gotOk != tt.wantOk {

  // The devices operations run on.
  const std::vector<std::string>& underlying_devices() const {
    return underlying_devices_;
  }

  // Takes a description of a single operation being executed on the
  // ParallelDevice, and in turn runs one operation per component device with
  // its corresponding inputs from the input ParallelTensors. Wraps the

          assertFalse(desc, isGuarded(method));
        } else {
          assertTrue(desc, isGuarded(method));
        }
        // we can't make an assumption about isTimed() because now we have single-parameter methods
        // that accept a java.time.Duration
        assertFalse(desc, isLongTimeUnitBased(method));
        break;
      case 2:
        if (isDurationBased(method)) {

import okhttp3.EventListener;
import okhttp3.Handshake;
import okhttp3.HttpUrl;
import okhttp3.OkHttpClient;
import okhttp3.Protocol;
import okhttp3.Request;
import okhttp3.Response;

/**
 * This prints events for a single in-flight call. It won't work for multiple concurrent calls
 * because we don't know what callStartNanos refers to.
 */
public final class PrintEventsNonConcurrent {