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
				}

  // (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}.
 *

    assertThrows(IOException.class, () -> reader.reset());
  }

  /**
   * Creates a CharSequenceReader wrapping the given CharSequence and tests that the reader produces
   * the same sequence when read using each type of read method it provides.
   */
  private static void assertReadsCorrectly(CharSequence charSequence) throws IOException {
    String expected = charSequence.toString();

    // read char by char

     *
     * @param id            the unique identifier of the repository
     * @param url           the URL of the repository
     * @param layout        the layout of the repository
     * @param uniqueVersion whether to assign each snapshot a unique version
     */
    public DefaultArtifactRepository(String id, String url, ArtifactRepositoryLayout layout, boolean uniqueVersion) {
        super(id, url);
        this.layout = layout;
    }

	// Alert upon this many excess sub-folders per folder in an erasure set.
	ExcessFolders int64 // 50000

	// MaxWait is maximum wait time between operations
	MaxWait time.Duration
	// Cycle is the time.Duration between each scanner cycles
	Cycle time.Duration
}

// DefaultKVS - default KV config for heal settings
var DefaultKVS = config.KVS{
	config.KV{
		Key:   Speed,
		Value: "default",
	},
	config.KV{

# installed into a virtual environment, and then that venv is used to run all
# bazel tests with a special flag "--define=no_tensorflow_py_deps=true", which
# drops all the bazel dependencies for each py_test; this makes all the tests
# use the wheel's TensorFlow installation instead of the one made available
# through bazel. This must be done in a different root directory, //bazel_pip/...,