}
        }
        return list.toArray(new Kind[list.size()]);
    }

    /**
     * Merges two suggest items.
     * @param item1 The first suggest item.
     * @param item2 The second suggest item.
     * @return The merged suggest item.
     */
    public static SuggestItem merge(final SuggestItem item1, final SuggestItem item2) {
        if (!item1.getId().equals(item2.getId())) {

  }

  /** Merges [settings] into this peer's settings and sends them to the remote peer. */
  @Throws(IOException::class)
  fun setSettings(settings: Settings) {
    writer.withLock {
      withLock {
        if (isShutdown) {
          throw ConnectionShutdownException()
        }
        okHttpSettings.merge(settings)
      }
      writer.settings(settings)
    }

        }
    }

    /**
     * Merges response data from the crawler into the original data map.
     * Handles special ".overwrite" suffix fields by removing the suffix and overwriting the base field.
     *
     * @param dataMap the original data map to merge into
     * @param responseDataMap the response data map from the crawler
     */

        SuggestItem merged = SuggestItem.merge(item1, item2);

        assertNotNull(merged);
        assertEquals("item1", merged.getText());
        assertEquals(150L, merged.getQueryFreq()); // Sum of frequencies
        assertEquals(75L, merged.getDocFreq()); // Sum of frequencies
        assertEquals(1.5f, merged.getUserBoost(), 0.001f); // Takes item2's boost

 *   <li>graphs that do/don't allow self-loops
 *   <li>graphs whose nodes/edges are insertion-ordered, sorted, or unordered
 *   <li>graphs whose edges have associated values
 * </ul>
 *
 * <p>{@code ValueGraph}, as a subtype of {@code Graph}, explicitly does not support parallel edges,
 * and forbids implementations or extensions with parallel edges. If you need parallel edges, use

   *
   * @param values a series of values
   */
  public static Stats of(double... values) {
    StatsAccumulator accumulator = new StatsAccumulator();
    accumulator.addAll(values);
    return accumulator.snapshot();
  }

  /**
   * Returns statistics over a dataset containing the given values.
   *
   * @param values a series of values
   */
  public static Stats of(int... values) {

     * and will be merged, but overlapping ranges will cause an exception when {@link #build()} is
     * called.
     */
    @CanIgnoreReturnValue
    public Builder<C> addAll(RangeSet<C> ranges) {
      return addAll(ranges.asRanges());
    }

    /**
     * Add all of the specified ranges to this builder. Adjacent ranges are permitted and will be

   *
   * @param values a series of values, which will be converted to {@code double} values (this may
   *     cause loss of precision)
   */
  public void addAll(Iterable<? extends Number> values) {
    for (Number value : values) {
      add(value.doubleValue());
    }
  }

  /**
   * Adds the given values to the dataset.
   *

    int edgeStart = graphString.indexOf("edges:");
    String nodeString = graphString.substring(nodeStart, edgeStart);

    Network<N, EndpointPair<N>> asNetwork = graph.asNetwork();
    // Don't call AbstractNetworkTest.validateNetwork(asNetwork).  Mutual recursion.
    assertThat(graph.nodes()).isEqualTo(asNetwork.nodes());
    assertThat(graph.edges()).hasSize(asNetwork.edges().size());

  @Override
  Set<N> nodes();

  /** Returns all edges in this graph. */
  @Override
  Set<EndpointPair<N>> edges();

  //
  // Graph properties
  //

  /**
   * Returns true if the edges in this graph are directed. Directed edges connect a {@link
   * EndpointPair#source() source node} to a {@link EndpointPair#target() target node}, while
   * undirected edges connect a pair of nodes to each other.
   */