* order described in the <a href="#iteration">class documentation</a>.
   */
  public static <K, V> ImmutableMultimap<K, V> of(K k1, V v1, K k2, V v2, K k3, V v3) {
    return ImmutableListMultimap.of(k1, v1, k2, v2, k3, v3);
  }

  /**
   * Returns an immutable multimap containing the given entries, in the "key-grouped" insertion

   * order described in the <a href="#iteration">class documentation</a>.
   */
  public static <K, V> ImmutableMultimap<K, V> of(K k1, V v1, K k2, V v2, K k3, V v3) {
    return ImmutableListMultimap.of(k1, v1, k2, v2, k3, v3);
  }

  /**
   * Returns an immutable multimap containing the given entries, in the "key-grouped" insertion

    copyIntoArray(other, 0);
    return other;
  }

  /** If this collection is backed by an array of its elements in insertion order, returns it. */
  @CheckForNull
  Object[] internalArray() {
    return null;
  }

  /**
   * If this collection is backed by an array of its elements in insertion order, returns the offset
   * where this collection's elements start.
   */
  int internalArrayStart() {

    return other;
  }

  /** If this collection is backed by an array of its elements in insertion order, returns it. */
  @CheckForNull
  @Nullable
  Object[] internalArray() {
    return null;
  }

  /**
   * If this collection is backed by an array of its elements in insertion order, returns the offset
   * where this collection's elements start.
   */
  int internalArrayStart() {

        // we need ObjectCountHashMap-backed contents, with its keys and values array in direct
        // insertion order
        contents = new ObjectCountHashMap<E>(contents);
        isLinkedHash = false;
      }
      buildInvoked = true;
      // contents is now ObjectCountHashMap, but still guaranteed to be in insertion order!
      return new RegularImmutableMultiset<E>(contents);
    }
  }

        }
      };
    }

    /** Uses an insertion-ordered hash-based {@code Set} to store value collections. */
    public SetMultimapBuilder<K0, @Nullable Object> linkedHashSetValues() {
      return linkedHashSetValues(DEFAULT_EXPECTED_VALUES_PER_KEY);
    }

    /**
     * Uses an insertion-ordered hash-based {@code Set} to store value collections, initialized to

   */
  public long approximateElementCount() {
    long bitSize = bits.bitSize();
    long bitCount = bits.bitCount();

    /**
     * Each insertion is expected to reduce the # of clear bits by a factor of
     * `numHashFunctions/bitSize`. So, after n insertions, expected bitCount is `bitSize * (1 - (1 -
     * numHashFunctions/bitSize)^n)`. Solving that for n, and approximating `ln x` as `x - 1` when x

  }

  /**
   * Populates the graph with nodes and edges in a star shape with node `1` in the middle.
   *
   * <p>Note that the edges are added in a shuffled order to properly test the effect of the
   * insertion order.
   */
  private void populateTShapedGraph() {
    putEdge(2, 1);
    putEdge(1, 4);
    putEdge(1, 3);
    putEdge(1, 2); // Duplicate
    putEdge(4, 5);
  }

  // Element Mutation

  }

  /**
   * Populates the graph with nodes and edges in a star shape with node `1` in the middle.
   *
   * <p>Note that the edges are added in a shuffled order to properly test the effect of the
   * insertion order.
   */
  private void populateStarShapedGraph() {
    putEdge(2, 1);
    putEdge(1, 4);
    putEdge(1, 3);
    putEdge(5, 1);
    putEdge(1, 2);
    putEdge(3, 1);
  }

  }

  /**
   * Populates the graph with nodes and edges in a star shape with node `1` in the middle.
   *
   * <p>Note that the edges are added in a shuffled order to properly test the effect of the
   * insertion order.
   */
  private void populateStarShapedGraph() {
    putEdge(2, 1);
    putEdge(1, 4);
    putEdge(1, 3);
    putEdge(5, 1);
    putEdge(1, 2);
    putEdge(3, 1);
  }