assertFreshInstance(new TypeToken<Collection<String>>() {});
  }

  public void testIterable() {
    assertFreshInstance(new TypeToken<Iterable<String>>() {});
  }

  public void testMap() {
    assertFreshInstance(new TypeToken<Map<String, ?>>() {});
  }

  public void testHashMap() {
    assertFreshInstance(new TypeToken<HashMap<String, ?>>() {});
  }

  public void testLinkedHashMap() {

	for _, disk := range values[peerRESTDisk] {
		diskMap[disk] = struct{}{}
	}

	hostMap := make(map[string]struct{})
	for _, host := range values[peerRESTHost] {
		hostMap[host] = struct{}{}
	}

	info := collectLocalMetrics(types, collectMetricsOpts{
		disks: diskMap,
		hosts: hostMap,
		jobID: values.Get(peerRESTJobID),
		depID: values.Get(peerRESTDepID),
	})

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

    assertFreshInstance(new TypeToken<Collection<String>>() {});
  }

  public void testIterable() {
    assertFreshInstance(new TypeToken<Iterable<String>>() {});
  }

  public void testMap() {
    assertFreshInstance(new TypeToken<Map<String, ?>>() {});
  }

  public void testHashMap() {
    assertFreshInstance(new TypeToken<HashMap<String, ?>>() {});
  }

  public void testLinkedHashMap() {

          if (subRange.isEmpty()) {
            return emptyIterator();
          }
          final Iterator<RangeMapEntry<K, V>> backingItr =
              entriesByLowerBound
                  .headMap(subRange.upperBound, false)
                  .descendingMap()
                  .values()
                  .iterator();
          return new AbstractIterator<Entry<Range<K>, V>>() {

            @Override

```
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")

    String i18nHash = "7fa826962ce2079c8334cd4ebf33aea4";
    assertEquals(i18nHash, Files.hash(i18nFile, Hashing.md5()).toString());
  }

  public void testMap() throws IOException {
    // Test data
    int size = 1024;
    byte[] bytes = newPreFilledByteArray(size);

    // Setup
    File file = createTempFile();
    Files.write(bytes, file);

    // Test

  }

  /**
   * 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

    String i18nHash = "7fa826962ce2079c8334cd4ebf33aea4";
    assertEquals(i18nHash, Files.hash(i18nFile, Hashing.md5()).toString());
  }

  public void testMap() throws IOException {
    // Test data
    int size = 1024;
    byte[] bytes = newPreFilledByteArray(size);

    // Setup
    File file = createTempFile();
    Files.write(bytes, file);

    // Test

      stream.defaultReadObject();
      factory = (Supplier<? extends Collection<V>>) requireNonNull(stream.readObject());
      Map<K, Collection<V>> map = (Map<K, Collection<V>>) requireNonNull(stream.readObject());
      setMap(map);
    }

    @GwtIncompatible // java serialization not supported
    @J2ktIncompatible
    private static final long serialVersionUID = 0;
  }

  /**