Spliterator<OutElementT> flatMap(
          Spliterator<InElementT> fromSpliterator,
          Function<? super InElementT, @Nullable Spliterator<OutElementT>> function,
          int topCharacteristics,
          long topSize) {
    checkArgument(
        (topCharacteristics & Spliterator.SUBSIZED) == 0,
        "flatMap does not support SUBSIZED characteristic");
    checkArgument(

            .flatMap(it -> it.contributeClassLevelAnnotationTypes().stream())
            .collect(Collectors.toSet());
    }

    @Override
    public boolean process(Set<? extends TypeElement> annotations, RoundEnvironment roundEnv) {
        Stream<? extends Element> annotatedTypes = getSupportedAnnotations().stream()
            .flatMap(annotation -> roundEnv.getElementsAnnotatedWith(annotation).stream())

                )
            }
        }

        val firScopes = towerDataElementsIndexed.flatMap { (index, towerDataElement) ->
            val availableScopes = towerDataElement
                .getAvailableScopes { coneType -> withSyntheticPropertiesScopeOrSelf(coneType) }
                .flatMap { flattenFirScope(it) }
            availableScopes.map { IndexedValue(index, it) }
        }

            mainBinaryModules.flatMap { it.getBinaryRoots() },
            testServices.environmentManager.getProjectEnvironment(),
        ).distinct()

        val sharedBinaryRoots = StandaloneProjectFactory.getVirtualFilesForLibraryRoots(
            sharedBinaryDependencies.flatMap { binary -> binary.getBinaryRoots() },

     *     inputFile = producer.flatMap { it.outputFile }
     * }
     * </code></pre>
     *
     * <p>
     * An added benefit of connecting input and output properties like this is that Gradle can automatically
     * detect task dependencies based on such connections. To make this happen at code level, any task
     * details associated with this provider (the one on which {@code flatMap} is being called) are ignored.

            is ErrorType -> return emptyList()
            is CapturedType -> return type.constructor.supertypes.flatMap { getUpperBounds(it) }
            is NewCapturedType -> return type.constructor.supertypes.flatMap { getUpperBounds(it) }
            is SimpleType -> {
                val typeParameterDescriptor = TypeUtils.getTypeParameterDescriptorOrNull(type)

        val pairs = durations.flatMap { it ->
            val scenarioDurations = it as JSONObject
            val scenario = Scenario.fromTestId(scenarioDurations["scenario"] as String)
            (scenarioDurations["durations"] as JSONArray).flatMap {
                val duration = it as JSONObject
                val testProject = duration["testProject"] as String

// Maps from a FunctionDef's name to FunctionDef, for a given FunctionDefLibrary
using FunctionDefMap = gtl::FlatMap<StringPiece, const tensorflow::FunctionDef*,
                                    StringPieceHasher>;

// Maps from a functiondef's name to the corresponding "TFConcreteFunction"
using FlatTensorFunctionMap =
    gtl::FlatMap<std::string, std::unique_ptr<FlatTensorFunction>>;

namespace {

     * the {@code Try} representing the original failure.
     *
     * Exceptions thrown by the given function are propagated.
     */
    public abstract <U> Try<U> flatMap(Function<? super T, Try<U>> f);

    /**
     * If the represented operation was successful, returns the result of applying the given
     * mapping function to the value, otherwise returns

            val values = blockElement.args.filterIsInstance<FunctionArgument.Positional>().map { exprToValue(it.expr) }
            errors += values.filterIsInstance<ExprConversion.Failed>().flatMap { it.errors }

            if (errors.isNotEmpty()) {
                errorNode(blockElement, errors) // TODO: reason
            } else {