* {@link #computeNext} method, and invoke the {@link #endOfData} method when appropriate.
 *
 * <p>Another example is an iterator that skips over null elements in a backing iterator. This could
 * be implemented as:
 *
 * {@snippet :
 * public static Iterator<String> skipNulls(final Iterator<String> in) {
 *   return new AbstractIterator<String>() {
 *     protected String computeNext() {

  }

  /**
   * Returns a new {@code MutableClassToInstanceMap} instance backed by a given empty {@code
   * backingMap}. The caller surrenders control of the backing map, and thus should not allow any
   * direct references to it to remain accessible.
   */
  public static <B extends @Nullable Object> MutableClassToInstanceMap<B> create(
      Map<Class<? extends @NonNull B>, B> backingMap) {

}
```

Of course, you will probably find much better ways to take advantage of this than formatting JSON. 😉

### `orjson` or Response Model { #orjson-or-response-model }

If what you are looking for is performance, you are probably better off using a [Response Model](../tutorial/response-model.md) than an `orjson` response.

      return "Ordering.arbitrary()";
    }

    /*
     * We need to be able to mock identityHashCode() calls for tests, because it
     * can take 1-10 seconds to find colliding objects. Mocking frameworks that
     * can do magic to mock static method calls still can't do so for a system
     * class, so we need the indirection. In production, Hotspot should still

      return result;
    }

    /**
     * Following the contract of {@link AbstractQueuedSynchronizer} we create a private subclass to
     * hold the synchronizer. This synchronizer is used to implement the blocking and waiting calls
     * as well as to handle state changes in a thread-safe manner. The current state of the future
     * is held in the Sync state, and the lock is released whenever the state changes to {@link

}

// hashOrder - hashes input key to return consistent
// hashed integer slice. Returned integer order is salted
// with an input key. This results in consistent order.
// NOTE: collisions are fine, we are not looking for uniqueness
// in the slices returned.
func hashOrder(key string, cardinality int) []int {
	if cardinality <= 0 {
		// Returns an empty int slice for cardinality < 0.
		return nil
	}

 * @author Jens Nyman
 * @param <N> Node parameter type
 * @since 20.0
 */
@Immutable(containerOf = {"N"})
public class ImmutableGraph<N> extends ForwardingGraph<N> {
  @SuppressWarnings("Immutable") // The backing graph must be immutable.
  private final BaseGraph<N> backingGraph;

  ImmutableGraph(BaseGraph<N> backingGraph) {
    this.backingGraph = backingGraph;
  }

  /** Returns an immutable copy of {@code graph}. */

      }

      // Compute how input bytes are chunked. For example, with base64 we chunk every 3 bytes into
      // 4 characters. We have bitsPerChar == 6, charsPerChunk == 4, and bytesPerChunk == 3.
      // We're looking for the smallest charsPerChunk such that bitsPerChar * charsPerChunk is a
      // multiple of 8. A multiple of 8 has 3 low zero bits, so we just need to figure out how many

      Cell<C, R, V> transposeCell(Cell<R, C, V> cell) {
    return immutableCell(cell.getColumnKey(), cell.getRowKey(), cell.getValue());
  }

  /**
   * Creates a table that uses the specified backing map and factory. It can generate a table based
   * on arbitrary {@link Map} classes.
   *
   * <p>The {@code factory}-generated and {@code backingMap} classes determine the table iteration

    // TODO check for Jvm or handle Long/long correctly
//    assertThat(request.tag(Long::class)).isSameAs(longTag)
  }

  /** Confirm that we don't accidentally share the backing map between objects. */
  @Test
  fun tagsAreImmutable() {
    val builder =
      Request
        .Builder()
        .url("https://square.com")
    val requestA = builder.tag(String::class, "a").build()