abstract int distinctElements();

  // Object methods

  /**
   * {@inheritDoc}
   *
   * <p>This implementation returns {@code true} if {@code object} is a multiset of the same size
   * and if, for each element, the two multisets have the same count.
   */
  @Override
  public final boolean equals(@CheckForNull Object object) {
    return Multisets.equalsImpl(this, object);
  }

  /**
   * {@inheritDoc}

    checkArgument(min <= max, "min (%s) must be less than or equal to max (%s)", min, max);
    return Math.min(Math.max(value, min), max);
  }

  /**
   * Returns the values from each provided array combined into a single array. For example, {@code
   * concat(new int[] {a, b}, new int[] {}, new int[] {c}} returns the array {@code {a, b, c}}.
   *
   * @param arrays zero or more {@code int} arrays

                characteristics,
                estimatedSize),
            isParallel)
        .onClose(() -> closeAll(streams));
  }

  /**
   * Returns a stream in which each element is the result of passing the corresponding element of
   * each of {@code streamA} and {@code streamB} to {@code function}.
   *
   * <p>For example:
   *
   * <pre>{@code
   * Streams.zip(
   *   Stream.of("foo1", "foo2", "foo3"),

  }

  @Test
  public void edgeValueOrDefault_undirected_mismatch() {
    graph = ValueGraphBuilder.undirected().build();
    graph.putEdgeValue(1, 2, "A");
    // Check that edgeValueOrDefault() throws on each possible ordering of an ordered EndpointPair
    IllegalArgumentException e =
        assertThrows(
            IllegalArgumentException.class,

	var cmp func(a, b Value) bool
	cmp = func(a, b Value) bool {
		// Convert if needed.
		inferTypesForCmp(&a, &b)

		if a.Equals(b) {
			return true
		}

		// If elements, compare each.
		aA, aOK := a.ToArray()
		bA, bOK := b.ToArray()
		if aOK && bOK {
			if len(aA) != len(bA) {
				return false
			}
			for i := range aA {
				if !cmp(aA[i], bA[i]) {
					return false
				}

         * compare TypeVariables from the JDK against TypeVariables returned by TypeResolver. To
         * work with all JDK versions, TypeResolver must return the appropriate TypeVariable
         * implementation in each of the three possible cases:
         *
         * 1. Prior to JDK 7u51, the JDK TypeVariable implementation interoperates with ours.
         * Therefore, we can always create our own TypeVariable.
         *

        return immutableRangeSet;
      }
    }
    return new ImmutableRangeSet<>(ImmutableList.copyOf(rangeSet.asRanges()));
  }

  /**
   * Returns an {@code ImmutableRangeSet} containing each of the specified disjoint ranges.
   * Overlapping ranges and empty ranges are forbidden, though adjacent ranges are permitted and
   * will be merged.
   *

  // (as in the case of ConstOp kernel creation on GPU, which involves copying a
  // CPU tensor to GPU).
  // Setting a larger thread pool does not help with the Swift caller, as we use
  // a different TFE context for each thread of execution (for running graph
  // functions, and their send/recvs corountines).
  config.set_inter_op_parallelism_threads(1);

  TF_Buffer* ret = TF_NewBuffer();
  TF_CHECK_OK(MessageToBuffer(config, ret));

  // `matchingPrecedence` is used to choose among the FlowSchemas that match a given request. The chosen
  // FlowSchema is among those with the numerically lowest (which we take to be logically highest)
  // MatchingPrecedence.  Each MatchingPrecedence value must be ranged in [1,10000].
  // Note that if the precedence is not specified, it will be set to 1000 as default.
  // +optional
  optional int32 matchingPrecedence = 2;

 * default} methods. Instead, it inherits their default implementations. When those implementations
 * invoke methods, they invoke methods on the {@code ForwardingSortedMap}.
 *
 * <p>Each of the {@code standard} methods, where appropriate, use the comparator of the map to test
 * equality for both keys and values, unlike {@code ForwardingMap}.
 *