```

    **Note:** You can add `--test_sharding_strategy=disabled` to the `flags` to
    disable the sharding so that all the test outputs are in one file. However,
    it may slow down the tests for not running in parallel and may cause the
    test to timeout but it could be useful when you need to execute a single

          /* fn_body */ body.get(), /* fn_name */ function_name,
          /* append_hash_to_fn_name */ 0, /* num_opers */ 2,
          /* opers */ operations, /* ninputs */ 1, /* inputs */ &x,
          /* noutputs */ 1, /* outputs */ &y, /* output_names */ &output_name,
          /* opts */ nullptr, /* description */ "", /* status */ status),
      TF_DeleteFunction);
  if (TF_GetCode(status) != TF_OK) return;

labels.docId=Document ID
labels.endTime=End Time
labels.hq=hq
labels.inputs=Source
labels.jobLogging=Logging
labels.jobName=Name
labels.jobStatus=Status
labels.labelTypeIds=Labels
labels.lang=lang
labels.outputs=Target
labels.pos=POS
labels.purgeJobLogDay=Purge Job Log Before
labels.purgeUserInfoDay=Purge User Before
labels.reading=Reading
labels.roleTypeIds=Role ID
labels.scriptData=Script
labels.scriptResult=Result

labels.docId=Dokument-ID
labels.endTime=Endzeitpunkt
labels.hq=hq
labels.inputs=Quelle
labels.jobLogging=Protokollierung
labels.jobName=Name
labels.jobStatus=Status
labels.labelTypeIds=Label
labels.lang=Sprache
labels.outputs=Ziel
labels.pos=POS
labels.purgeJobLogDay=Bereinige Suchprotokoll nach
labels.purgeUserInfoDay=Bereinige Benutzer nach
labels.reading=Lesen
labels.roleTypeIds=Rollen-ID
labels.scriptData=Skript

// boundary of the block containing the last newline.
//
// Note that the GNU manual says that numeric values should be encoded in octal
// format. However, the GNU tar utility itself outputs these values in decimal.
// As such, this library treats values as being encoded in decimal.
func readGNUSparseMap1x0(r io.Reader) (sparseDatas, error) {
	var (
		cntNewline int64
		buf        bytes.Buffer

    'outputs'. If a model was exported with different names before 1.2, and is
    now served with tensorflow/serving, it will accept requests using 'inputs'
    and 'outputs'. Starting at 1.2, such a model will accept the keys specified
    during export. Therefore, inference requests using 'inputs' and 'outputs'

   * uses the uncompressed form (except on Android, where the zero compression is also done). The
   * other difference is that this method outputs any scope ID in the format that it was provided at
   * creation time, while Android may always output it as an interface name, even if it was supplied
   * as a numeric ID.
   *

	endpointConfigCmd := &cobra.Command{
		Use: "eds [<type>/]<name>[.<namespace>]",
		// Currently, we have an "endpoints" and "eds" command. While for simple use cases these are nearly identical, they give
		// pretty different outputs for the full JSON output. This makes it a useful command for developers, but may be overwhelming
		// for basic usage. For now, hide to avoid confusion.
		Hidden: true,

labels.docId=ID документа
labels.endTime=Время завершения
labels.hq=hq
labels.inputs=Источник
labels.jobLogging=Журналирование
labels.jobName=Имя
labels.jobStatus=Статус
labels.labelTypeIds=Надписи
labels.lang=язык
labels.outputs=Цель
labels.pos=POS
labels.purgeJobLogDay=Предварительная очистка журнала работы
labels.purgeUserInfoDay=Предварительная очистка пользователя
labels.reading=Чтение
labels.roleTypeIds=ID роль
labels.scriptData=Скрипт

   *
   * <p>If the mapped elements contain duplicates (according to {@code comparator}), the first
   * occurrence in encounter order appears in the resulting multiset, with count equal to the sum of
   * the outputs of {@code countFunction.applyAsInt(t)} for each {@code t} mapped to that element.
   *
   * @since 33.2.0 (available since 22.0 in guava-jre)
   */
  @SuppressWarnings("Java7ApiChecker")