* convenient shortcut methods defined directly on {@link HashFunction} to make this easier.
 *
 * <p>Hasher accepts primitive data types, but can also accept any Object of type {@code T} provided
 * that you implement a {@link Funnel}{@code <T>} to specify how to "feed" data from that object
 * into the function. (See {@linkplain Hasher#putObject an example} of this.)
 *

 * convenient shortcut methods defined directly on {@link HashFunction} to make this easier.
 *
 * <p>Hasher accepts primitive data types, but can also accept any Object of type {@code T} provided
 * that you implement a {@link Funnel}{@code <T>} to specify how to "feed" data from that object
 * into the function. (See {@linkplain Hasher#putObject an example} of this.)
 *

// DecompressedSize - For compressed objects.
func (r *Reader) ActualSize() int64 { return r.actualSize }

// ETag returns the ETag computed by an underlying etag.Tagger.
// If the underlying io.Reader does not implement etag.Tagger
// it returns nil.
func (r *Reader) ETag() etag.ETag {
	if t, ok := r.src.(etag.Tagger); ok {
		return t.ETag()
	}
	return nil
}

// MD5Current returns the MD5 checksum of the content

      "FINE: Q10000 scheduled after 200 µs: task two",
    )
  }

  /**
   * We don't track the active task in scheduled tasks. This behavior might be a mistake, but it's
   * cumbersome to implement properly because the active task might be a cancel.
   */
  @Test fun scheduledTasksDoesNotIncludeRunningTask() {
    val task =
      object : Task("task one") {
        val schedules = mutableListOf(200.µs)

 * {@linkplain Comparable natural ordering} also does not permit insertion of non-comparable objects
 * (doing so results in {@code ClassCastException}).
 *
 * <p>This class and its iterator implement all of the optional methods of the {@link
 * Collection} and {@link Iterator} interfaces. The Iterator provided in method {@link #iterator()}

TF_Library* TF_LoadPluggableDeviceLibrary(const char* library_filename,
                                          TF_Status* status) {
#if defined(IS_MOBILE_PLATFORM) || defined(IS_SLIM_BUILD)
  status->status = tensorflow::errors::Unimplemented(
      "PluggableDevice plugin functionality is not supported on mobile");
  return nullptr;
#else
  TF_Library* lib_handle = new TF_Library;
  static tensorflow::mutex mu(tensorflow::LINKER_INITIALIZED);

			err := api.Walk(ctx, r.Bucket, prefix, prefixResultCh, WalkOptions{
				Marker:       lastObject,
				LatestOnly:   false, // we need to visit all versions of the object to implement purge: retainVersions
				VersionsSort: WalkVersionsSortDesc,
			})
			if err != nil {
				cancelCause(err)
				xioutil.SafeClose(results)
				return
			}
			for result := range prefixResultCh {

  }

  public static <K, V> ImmutableSortedMap<K, V> copyOfSorted(SortedMap<K, ? extends V> map) {
    // If map has a null comparator, the keys should have a natural ordering,
    // even though K doesn't explicitly implement Comparable.
    @SuppressWarnings("unchecked")
    Comparator<? super K> comparator =
        (map.comparator() == null) ? (Comparator<? super K>) NATURAL_ORDER : map.comparator();
    return copyOfInternal(map, comparator);

	case sqlFnLower:
		return lowerCase(argVals[0])

	case sqlFnUpper:
		return upperCase(argVals[0])

	case sqlFnUTCNow:
		return handleUTCNow()

	case sqlFnToString, sqlFnToTimestamp:
		// TODO: implement
		fallthrough

	default:
		return nil, errNotImplemented
	}
}

func coalesce(args []*Value) (res *Value, err error) {
	for _, arg := range args {
		if arg.IsNull() {
			continue
		}

      int i = 0;
      for (Object e : elements) {
        array[i++] = (Long) e;
      }
      return create(array);
    }

    /**
     * Creates a new collection containing the given elements; implement this method instead of
     * {@link #create(Object...)}.
     */
    protected abstract List<Long> create(Long[] elements);

    @Override
    public Long[] createArray(int length) {