verify(mockBuffer).advance(10); // secondary addr (length 10)
            verify(mockBuffer, times(2)).align(4); // alignment calls
            verify(mockBuffer).dec_ndr_small(); // num results
            verify(mockBuffer).advance(20); // transfer syntax / version

            // Verify result was set
            Field resultField = DcerpcMessage.class.getDeclaredField("result");

    @Secured({ ROLE, ROLE + VIEW })
    public HtmlResponse list(final OptionalThing<Integer> pageNumber, final SearchForm form) {
        validate(form, messages -> {}, this::asDictIndexHtml);
        pageNumber.ifPresent(num -> {
            synonymPager.setCurrentPageNumber(pageNumber.get());
        }).orElse(() -> {
            synonymPager.setCurrentPageNumber(0);
        });

change. More details [here](https://docs.influxdata.com/influxdb/v0.9/administration/upgrading/).
  * We have renamed “minions” to “nodes”.  If you were specifying NUM\_MINIONS or
MINION\_SIZE to kube-up, you should now specify NUM\_NODES or NODE\_SIZE.

### Known Issues

  * Paused deployments can't be resized and don't clean up old ReplicaSets.
  * Minimum memory limit is 4MB. This is a docker limitation

# Number of documents per suggestion update request.
suggest.update.doc.per.request=2
# Percentage limit for suggestion update contents.
suggest.update.contents.limit.num.percentage=50%
# Maximum number of suggestion update contents.
suggest.update.contents.limit.num=10000
# Maximum document size for suggestion update.
suggest.update.contents.limit.doc.size=50000
# Scroll size for suggestion source reader.

  TF_Operation* add = Add(feed1, feed2, func_graph_, s_);
  DefineT(-1, {}, {{feed1, 0}, {feed2, 2}}, {{add, 0}}, {}, true);
  EXPECT_EQ(TF_OUT_OF_RANGE, TF_GetCode(s_));
  EXPECT_EQ(string("Node 'feed2' (type: 'Placeholder', num of outputs: 1) does "
                   "not have output 2\n\tEncountered while processing "
                   "input 1 into function 'MyFunc'"),
            string(TF_Message(s_)));
}

labels.fileName=檔案名稱
labels.handlerName=處理程式名稱
labels.handlerParameter=參數
labels.handlerScript=腳本
labels.popularWord=熱門詞
labels.ignoreFailureType=忽略的失敗類型
labels.lastAccessTime=上次訪問時間
labels.notificationTo=通知對象
labels.num=數量
labels.pn=頁碼
labels.protocolScheme=方案
labels.purgeByBots=按機器人清除
labels.logLevel=日誌級別
labels.purgeSearchLogDay=刪除搜尋日誌
labels.query=查詢
labels.queryId=查詢ID
labels.rt=rt
labels.searchLog=搜尋日誌
labels.sort=排序

labels.handlerParameter=Parameter
labels.handler_script=Script
labels.popularWord=Populair woord
labels.ignoreFailureType=Genegeerde fouttypen
labels.lastAccessTime=Laatste toegangstijd
labels.notificationTo=Melding aan
labels.num=Aantal
labels.pn=Paginanummer
labels.protocolScheme=Schema
labels.purgeByBots=Verwijderen door Bots
labels.logLevel=Logboekniveau
labels.purgeSearchLogDay=Zoeklogboeken verwijderen
labels.query=Query

Ele tinha um sistema de injeção de dependência. Ele exigia pré-registro dos componentes, como outras ferramentas já discutidas acima. Mas ainda era um grande recurso.

labels.handlerParameter=Параметр
labels.handlerScript=Скрипт
labels.popularWord=Популярное слово
labels.ignoreFailureType=Игнорируемый тип сбоя
labels.lastAccessTime=Время последнего доступа
labels.notificationTo=Уведомление для
labels.num=Число
labels.pn=Номер страницы
labels.protocolScheme=Схема
labels.purgeByBots=Очистить ботов
labels.logLevel=Уровень журнала
labels.purgeSearchLogDay=Очистить журнал поиска
labels.query=Запрос
labels.queryId=ID запроса

labels.handlerParameter=Parametro
labels.handler_script=Script
labels.popularWord=Parola popolare
labels.ignoreFailureType=Tipi di errore ignorati
labels.lastAccessTime=Data ultimo accesso
labels.notificationTo=Notifica a
labels.num=Numero
labels.pn=Numero di pagina
labels.protocolScheme=Schema
labels.purgeByBots=Elimina per Bot
labels.logLevel=Livello di log
labels.purgeSearchLogDay=Elimina log di ricerca
labels.query=Query
labels.queryId=ID query