} else {
      return new AsMap(map);
    }
  }

  @WeakOuter
  private class AsMap extends ViewCachingAbstractMap<K, Collection<V>> {
    /**
     * Usually the same as map, but smaller for the headMap(), tailMap(), or subMap() of a
     * SortedAsMap.
     */
    final transient Map<K, Collection<V>> submap;

    AsMap(Map<K, Collection<V>> submap) {
      this.submap = submap;
    }

      if (collection.size() <= 2L * k) {
        // In this case, just dumping the collection to an array and sorting is
        // faster than using the implementation for Iterator, which is
        // specialized for k much smaller than n.

        @SuppressWarnings("unchecked") // c only contains E's and doesn't escape
        E[] array = (E[]) collection.toArray();
        sort(array, this);
        if (array.length > k) {

    assertThat(hpackReader!!.headerCount).isEqualTo(0)
    assertThat(hpackReader!!.getAndResetHeaderList()).isEqualTo(headerBlock)
  }

  /**
   * HPACK has a max header table size, which can be smaller than the max header message. Ensure the
   * larger header content is not lost.
   */
  @Test
  fun tooLargeToHPackIsStillEmitted() {
    bytesIn.writeByte(0x21) // Dynamic table size update (size = 1).

$grid-breakpoints, $breakpoint-names: map-keys($breakpoints)) {\n  $n: index($breakpoint-names, $name);\n  @return if($n != null and $n < length($breakpoint-names), nth($breakpoint-names, $n + 1), null);\n}\n\n// Minimum breakpoint width. Null for the smallest (first) breakpoint.\n//\n//    >> breakpoint-min(sm, (xs: 0, sm: 576px, md: 768px, lg: 992px, xl: 1200px))\n//    576px\n@function breakpoint-min($name, $breakpoints: $grid-breakpoints) {\n  $min: map-get($breakpoints, $name);\n  @return if($min...

            }
            return highlightInfo;
        }).orElse(new HighlightInfo());
    }

    /**
     * Updates highlight information based on screen width.
     * Reduces fragment size for smaller screens.
     *
     * @param highlightInfo the highlight info to update
     * @param width the screen width
     */
    protected void updateHighlightInfo(final HighlightInfo highlightInfo, final int width) {

    } else {
      return new AsMap(map);
    }
  }

  @WeakOuter
  private class AsMap extends ViewCachingAbstractMap<K, Collection<V>> {
    /**
     * Usually the same as map, but smaller for the headMap(), tailMap(), or subMap() of a
     * SortedAsMap.
     */
    final transient Map<K, Collection<V>> submap;

    AsMap(Map<K, Collection<V>> submap) {
      this.submap = submap;
    }

      if (collection.size() <= 2L * k) {
        // In this case, just dumping the collection to an array and sorting is
        // faster than using the implementation for Iterator, which is
        // specialized for k much smaller than n.

        @SuppressWarnings("unchecked") // c only contains E's and doesn't escape
        E[] array = (E[]) collection.toArray();
        sort(array, this);
        if (array.length > k) {

        .that(bucketsOf(map1))
        .isEqualTo(initialBuckets);

    // Ensure that referenceMap, which doesn't use WithExpectedSize, ends up with the same table
    // size as the other two maps. If it ended up with a smaller size that would imply that we
    // computed the wrong initial capacity.
    for (int i = 0; i < size; i++) {
      referenceMap.put(i, null);
    }
    assertWithMessage("table size after adding %s elements", size)

(e.g., Windows, Linux, etc.), package type (e.g., zip file, RPM, etc.),
Elasticsearch distribution type (e.g., default or OSS), and so forth, it's
faster to develop against smaller subsets of the tests. For example, to run
tests for the default archive distribution on Fedora 28:

-----------------------------------------------------------
./gradlew :qa:os:fedora-28:distroTest.default-linux-archive

    // ========== Advanced Features ==========

    @Test
    void testLargeFileOperations() throws Exception {
        SmbFile file = new SmbFile(baseUrl + "shared/largefile.bin", context);

        // Create a smaller test file (1KB instead of 1MB)
        byte[] data = new byte[1024];
        for (int i = 0; i < data.length; i++) {
            data[i] = (byte) (i % 256);
        }

        // Create file and write data