to a labeled dataset, in one function call. Note that it doesn't perform
        image data augmentation (which is meant to be done using preprocessing
        layers).
    *   **[`text_dataset_from_directory`](https://www.tensorflow.org/api_docs/python/tf/keras/preprocessing/text_dataset_from_directory)**
        takes you from a structured directory of text files to a labeled
        dataset, in one function call.

whether that be from a workspace of an IDE, a local Maven repository, or a remote Maven repository. During development in an IDE we would need layered resolution approach that would allow resolution from the workspace, then the local Maven repository and then from any number of remote Maven repositories. During development from the command line we would need a layered resolution approach that would allow resolution from the local Maven repository and then from any number of remote Maven repositories. In...

  pre-1.0 to 1.6 kubelet is not supported.
* Fluentd was migrated to Daemon Set, which targets nodes with
  beta.kubernetes.io/fluentd-ds-ready=true label. If you use fluentd in your
  cluster please make sure that the nodes with version 1.6+ contains this
  label.

### kubectl
* Running `kubectl taint` (alpha in 1.5) against a 1.6 server requires upgrading kubectl to version 1.6

            if (values.length > 4 && "all".equals(values[4])) {
                return FormatType.SCROLL;
            }
            return FormatType.SEARCH;
        }
        if ("labels".equals(type)) {
            return FormatType.LABEL;
        }
        if ("popular-words".equals(type)) {
            return FormatType.POPULARWORD;
        }
        if ("favorites".equals(type)) {

labels.hq=hq
labels.inputs=Входы
labels.jobLogging=Ведение журнала
labels.jobName=Имя
labels.jobStatus=Статус
labels.labelTypeIds=Метки
labels.lang=Язык
labels.outputs=Выходы
labels.pos=Часть речи
labels.purgeJobLogDay=Удалить старые журналы заданий
labels.purgeUserInfoDay=Удалить старые журналы пользователей
labels.reading=Чтение
labels.roleTypeIds=ID ролей
labels.scriptData=Скрипт
labels.scriptResult=Результат

labels.query=Requête
labels.queryId=ID de requête
labels.rt=rt
labels.searchLog=Journal de recherche
labels.sort=Trier
labels.start=Démarrer
labels.loginRequired=Connexion requise
labels.loginLink=Afficher le lien de connexion
labels.threadName=Nom du thread
labels.url=URL
labels.userFavorite=Journal des favoris
labels.userInfo=Informations utilisateur
labels.webApiJson=Réponse JSON

labels.docId=ID documento
labels.endTime=Ora di fine
labels.hq=hq
labels.inputs=Input
labels.jobLogging=Logging
labels.jobName=Nome
labels.jobStatus=Stato
labels.labelTypeIds=Etichette
labels.lang=Lingua
labels.outputs=Output
labels.pos=Parte del discorso
labels.purgeJobLogDay=Elimina log di lavoro precedenti
labels.purgeUserInfoDay=Elimina log utente precedenti
labels.reading=Lettura
labels.roleTypeIds=ID ruolo

labels.name=名称
labels.numOfThread=线程数
labels.duplicateHostName=重复名称
labels.pageNumber=页码
labels.password=密码
labels.paths=路径
labels.port=端口
labels.regex=正则表达式
labels.regularName=常规名称
labels.replacement=替换
labels.sessionId=会话ID
labels.sortOrder=排序顺序
labels.updatedBy=更新者
labels.updatedTime=更新时间
labels.urls=URL
labels.userAgent=用户代理
labels.username=用户名
labels.value=值
labels.versionNo=版本号
labels.cronExpression=计划

labels.name=名稱
labels.numOfThread=執行緒數
labels.duplicateHostName=重複名稱
labels.pageNumber=頁碼
labels.password=密碼
labels.paths=路徑
labels.port=埠
labels.regex=正則表達式
labels.regularName=常規名稱
labels.replacement=替換
labels.sessionId=會話ID
labels.sortOrder=排序順序
labels.updatedBy=更新者
labels.updatedTime=更新時間
labels.urls=URL
labels.userAgent=使用者代理
labels.username=使用者名稱
labels.value=值
labels.versionNo=版本號
labels.cronExpression=排程

labels.hq=hq
labels.inputs=Invoer
labels.jobLogging=Loggen
labels.jobName=Naam
labels.jobStatus=Status
labels.labelTypeIds=Labels
labels.lang=Taal
labels.outputs=Uitvoer
labels.pos=Woordsoort
labels.purgeJobLogDay=Vorige taaklogboeken verwijderen
labels.purgeUserInfoDay=Vorige gebruikerslogboeken verwijderen
labels.reading=Lezen
labels.roleTypeIds=Rol-ID
labels.scriptData=Script
labels.scriptResult=Resultaat