* setting `KUBE_PROXY_DAEMONSET=true` in kube-up will now set a `node.kubernetes.io/kube-proxy-ds-ready=true` label on new nodes. In v1.16, the kube-proxy daemonset add-on will switch to using that label as a node selector.
    * In 1.16, the masq-agent daemonset add-on will switch to using `node.kubernetes.io/masq-agent-ds-ready` as a node selector.

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.scriptType=Метод выполнения
labels.segmentation=Сегментация
labels.startTime=Время начала
labels.target=Цель

labels.jobStatus=स्थिति
labels.labelTypeIds=लेबल
labels.lang=भाषा
labels.outputs=आउटपुट
labels.pos=भाषण का भाग
labels.purgeJobLogDay=पुराने जॉब लॉग हटाएं
labels.purgeUserInfoDay=पुराने उपयोगकर्ता लॉग हटाएं
labels.reading=पठन
labels.roleTypeIds=भूमिका IDs
labels.scriptData=स्क्रिप्ट
labels.scriptResult=परिणाम
labels.scriptType=निष्पादन विधि
labels.segmentation=विभाजन
labels.startTime=प्रारंभ समय
labels.target=लक्ष्य

    thread.setPriority(Thread.MAX_PRIORITY);
    Thread.class.getMethod("resume").invoke(thread);
    thread.join();
    // It's possible to race and suspend the thread just before the park call actually takes effect,
    // causing the thread to be suspended for 3.5 seconds, and then park itself for 2 seconds after
    // being resumed. To avoid a flake in this scenario, calculate how long that thread actually

However, it _is_ possible to gain insight in code coverage using IntelliJ's built-in coverage
analysis tool that can measure coverage upon executing specific tests. Eclipse may also be able
to do the same using the EclEmma plugin.

Test coverage reporting used to be possible with JaCoCo when Elasticsearch was using Maven
as its build system. Since the switch to Gradle though, this is no longer possible, seeing as

labels.labelTypeIds=Rótulos
labels.lang=Idioma
labels.outputs=Saídas
labels.pos=Parte da fala
labels.purgeJobLogDay=Excluir logs de trabalho anteriores
labels.purgeUserInfoDay=Excluir logs de usuário anteriores
labels.reading=Leitura
labels.roleTypeIds=ID da função
labels.scriptData=Script
labels.scriptResult=Resultado
labels.scriptType=Tipo de execução
labels.segmentation=Segmentação
labels.startTime=Hora de início

/**
 * A synchronization abstraction supporting waiting on arbitrary boolean conditions.
 *
 * <p>This class is intended as a replacement for {@link ReentrantLock}. Code using {@code Monitor}
 * is less error-prone and more readable than code using {@code ReentrantLock}, without significant
 * performance loss. {@code Monitor} even has the potential for performance gain by optimizing the

labels.lang=Idioma
labels.outputs=Salidas
labels.pos=Parte de la oración
labels.purgeJobLogDay=Eliminar registros de trabajos anteriores
labels.purgeUserInfoDay=Eliminar registros de usuarios anteriores
labels.reading=Lectura
labels.roleTypeIds=ID de rol
labels.scriptData=Script
labels.scriptResult=Resultado
labels.scriptType=Tipo de ejecución
labels.segmentation=Segmentación
labels.startTime=Hora de inicio

labels.jobLogging=로깅
labels.jobName=이름
labels.jobStatus=상태
labels.labelTypeIds=라벨
labels.lang=언어
labels.outputs=대상
labels.pos=품사
labels.purgeJobLogDay=이전 작업 로그 삭제
labels.purgeUserInfoDay=이전 이용자 로그 삭제
labels.reading=읽기
labels.roleTypeIds=역할 ID
labels.scriptData=스크립트
labels.scriptResult=결과
labels.scriptType=실행 방법
labels.segmentation=분할
labels.startTime=시작 시간
labels.target=대상
labels.token=토큰

labels.lang=Langue
labels.outputs=Sorties
labels.pos=Partie du discours
labels.purgeJobLogDay=Supprimer les anciens journaux de tâches
labels.purgeUserInfoDay=Supprimer les anciens journaux utilisateur
labels.reading=Lecture
labels.roleTypeIds=ID de rôle
labels.scriptData=Script
labels.scriptResult=Résultat
labels.scriptType=Méthode d'exécution
labels.segmentation=Segmentation
labels.startTime=Heure de début