return RegularImmutableBiMap.fromEntries(entries2);
  }

  /**
   * Returns a new builder. The generated builder is equivalent to the builder created by the {@link
   * Builder} constructor.
   */
  public static <K, V> Builder<K, V> builder() {
    return new Builder<>();
  }

  /**
   * Returns a new builder, expecting the specified number of entries to be added.
   *

          "intersection is undefined for disconnected ranges %s and %s",
          this,
          connectedRange);

      // TODO(kevinb): all the precondition checks in the constructor are redundant...
      return create(newLower, newUpper);
    }
  }

  /**
   * Returns the maximal range lying between this range and {@code otherRange}, if such a range

      this.elemCount = elemCount;
      this.totalCount = elemCount;
      this.distinctElements = 1;
      this.height = 1;
      this.left = null;
      this.right = null;
    }

    /** Constructor for the header node. */
    AvlNode() {
      this.elem = null;
      this.elemCount = 1;
    }

    // For discussion of pred() and succ(), see the comment on the pred and succ fields.

  }

  // looking for of() with > 5 entries? Use the builder instead.

  /**
   * Returns a new builder. The generated builder is equivalent to the builder created by the {@link
   * Builder} constructor.
   */
  public static <K, V> Builder<K, V> builder() {
    return new Builder<>();
  }

  /**
   * Returns a new builder with a hint for how many distinct keys are expected to be added. The

  private final long count;
  private final double mean;
  private final double sumOfSquaresOfDeltas;
  private final double min;
  private final double max;

  /**
   * Internal constructor. Users should use {@link #of} or {@link StatsAccumulator#snapshot}.
   *
   * <p>To ensure that the created instance obeys its contract, the parameters should satisfy the

        `tf.mixed_precision. experimental.LossScale` in the constructor, and no
        longer has a `LossScale` associated with it. Instead, `Model.compile`
        will automatically wrap the optimizer with a `LossScaleOptimizer` using
        dynamic loss scaling if `Policy.name` is "mixed_float16".
    *   `tf.keras.mixed_precision.LossScaleOptimizer`'s constructor takes in

   * comparator has a more general type than the set being generated, such as creating a {@code
   * SortedSet<Integer>} with a {@code Comparator<Number>}, use the {@link Builder} constructor
   * instead.
   *
   * @throws NullPointerException if {@code comparator} is null
   */
  public static <E> Builder<E> orderedBy(Comparator<E> comparator) {
    return new Builder<>(comparator);
  }

  /*
   * TODO(cpovirk): Change to Comparator<? super B> to permit Comparator<@Nullable ...> and
   * Comparator<SupertypeOfB>? What we have here matches the immutable collections, but those also
   * expose a public Builder constructor that accepts "? super." So maybe we should do *that*
   * instead.
   */
  public static <B> Builder<B> orderedBy(Comparator<B> comparator) {
    return new Builder<>(comparator);
  }

  /**

    return MapMakerInternalMap.create(maker);
  }

  private static MapMaker createMapMaker() {
    MapMaker maker = new MapMaker();
    maker.useCustomMap = true;
    return maker;
  }

  // constructor tests

  public void testDefaults() {
    MapMakerInternalMap<Object, Object, ?, ?> map = makeMap(createMapMaker());

    assertSame(Strength.STRONG, map.keyStrength());

    return MapMakerInternalMap.create(maker);
  }

  private static MapMaker createMapMaker() {
    MapMaker maker = new MapMaker();
    maker.useCustomMap = true;
    return maker;
  }

  // constructor tests

  public void testDefaults() {
    MapMakerInternalMap<Object, Object, ?, ?> map = makeMap(createMapMaker());

    assertSame(Strength.STRONG, map.keyStrength());