return new TypeRegistry() {
                @Override
                public Optional<Type> lookup(String id) {
                    return providers.stream()
                            .flatMap(p -> p.provides().stream())
                            .filter(t -> Objects.equals(id, t.id()))
                            .findAny();
                }
            };
        }

        @Provides

        return request.getProfiles().stream()
                .filter(profile -> activeProfileId.contains(profile.getId()))
                .map(ModelBase::getProperties)
                .flatMap(properties -> properties.entrySet().stream())
                .filter(e -> e.getValue() != null)
                .collect(Collectors.toMap(

            userManual.getSamples().convention(layout.getProjectDirectory().dir("src/samples"));
            userManual.getStagedDocumentation().convention(userguideFlattenSources.flatMap(task -> (DirectoryProperty) task.getExtensions().getExtraProperties().get("destinationDirectory")));
            userManual.getRenderedDocumentation().from(userguide);
        });
    }

  }

  /**
   * Returns a {@link Stream} containing the elements of the first stream, followed by the elements
   * of the second stream, and so on.
   *
   * <p>This is equivalent to {@code Stream.of(streams).flatMap(stream -> stream)}, but the returned
   * stream may perform better.
   *
   * @see Stream#concat(Stream, Stream)
   */
  @SuppressWarnings("unchecked") // could probably be avoided with a forwarding Spliterator

```
scala> val file = sc.textFile("s3a://testbucket/testdata")
file: org.apache.spark.rdd.RDD[String] = s3a://testbucket/testdata MapPartitionsRDD[1] at textFile at <console>:24

scala> val counts = file.flatMap(line => line.split(" ")).map(word => (word, 1)).reduceByKey(_ + _)
counts: org.apache.spark.rdd.RDD[(String, Int)] = ShuffledRDD[4] at reduceByKey at <console>:25

scala> counts.saveAsTextFile("s3a://testbucket/wordcount")

nonfun$apply$mcV$sp$2(TraversableLike$$anonfun$forall$1); } scala/collection/TraversableLike$$anonfun$flatMap$1.class package scala.collection; public final synchronized class TraversableLike$$anonfun$flatMap$1 extends scala.runtime.AbstractFunction1 implements scala.Serializable { private final mutable.Builder b$2; private final scala.Function1 f$5; public void TraversableLike$$anonfun$flatMap$1(mutable.Builder, scala.Function1); } scala/collection/TraversableLike$$anonfun$filterNot$1.class package...

    }
  }

  static <E extends @Nullable Object> Spliterator<E> spliteratorImpl(Multiset<E> multiset) {
    Spliterator<Entry<E>> entrySpliterator = multiset.entrySet().spliterator();
    return CollectSpliterators.flatMap(
        entrySpliterator,
        (Entry<E> entry) -> Collections.nCopies(entry.getCount(), entry.getElement()).spliterator(),
        Spliterator.SIZED
            | (entrySpliterator.characteristics()

            }
            propMap.put(DEFAULT_LABEL_VALUES, map);
        }
        return map.entrySet().stream().flatMap(e -> {
            final String key = e.getKey();
            if (StringUtil.isEmpty(key) || userBean