db.Mux.Unlock()
		// wait for other goroutines prepared
		<-stmt.prepared
		if stmt.prepareErr != nil {
			return Stmt{}, stmt.prepareErr
		}

		return *stmt, nil
	}
	// check db.Stmts first to avoid Segmentation Fault(setting value to nil map)
	// which cause by calling Close and executing SQL concurrently
	if db.Stmts == nil {
		db.Mux.Unlock()
		return Stmt{}, ErrInvalidDB
	}
	// cache preparing stmt first

labels.purgeUserInfoDay	=	Purger l'utilisateur avant
labels.reading	=	Lecture
labels.roleTypeIds	=	ID de rôle
labels.scriptData	=	Scénario
labels.scriptResult	=	Résultat
labels.scriptType	=	Exécuteur
labels.segmentation	=	Segmentation
labels.startTime	=	Heure de début
labels.target	=	Cible
labels.token	=	Jeton
labels.synonymFile	=	Fichier de synonymes
labels.stopwordsFile	=	Fichier Stopwords

labels.purgeUserInfoDay=Purge User Before
labels.reading=Reading
labels.roleTypeIds=Role ID
labels.scriptData=Script
labels.scriptResult=Result
labels.scriptType=Executor
labels.segmentation=Segmentation
labels.startTime=Start Time
labels.target=Target
labels.token=Token
labels.synonymFile=Synonym File
labels.stopwordsFile=Stopwords File
labels.stemmerOverrideFile=Stemmer Override File

labels.purgeUserInfoDay=Предварительная очистка пользователя
labels.reading=Чтение
labels.roleTypeIds=ID роль
labels.scriptData=Скрипт
labels.scriptResult=Результат
labels.scriptType=Исполнитель
labels.segmentation=Сегментация
labels.startTime=Время начала
labels.target=Цель
labels.token=Токен
labels.synonymFile=Файл синонимов
labels.elevateWordFile=Файл дополнительных слов
labels.badWordFile=Файл плохих слов

labels.purgeUserInfoDay=Bereinige Benutzer nach
labels.reading=Lesen
labels.roleTypeIds=Rollen-ID
labels.scriptData=Skript
labels.scriptResult=Suchergebnis
labels.scriptType=Executor
labels.segmentation=Segmentierung
labels.startTime=Startzeitpunkt
labels.target=Ziel
labels.token=Token
labels.synonymFile=Datei mit Synonymen
labels.elevateWordFile=Datei mit zusätzlichen Wörtern

    /** The key of the message: Executor */
    public static final String LABELS_SCRIPT_TYPE = "{labels.scriptType}";

    /** The key of the message: Segmentation */
    public static final String LABELS_SEGMENTATION = "{labels.segmentation}";

    /** The key of the message: Start Time */
    public static final String LABELS_START_TIME = "{labels.startTime}";

    /** The key of the message: Target */

labels.purgeJobLogDay = 이전 작업 로그 삭제
labels.purgeUserInfoDay = 이전의 사용자 로그를 삭제
labels.reading = 읽기
labels.roleTypeIds = Role 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.synonymFile = 동의어 파일
labels.elevateWordFile = 추가 단어 파일
labels.badWordFile = 제외 단어 파일
labels.mappingFile = 매핑 파일

labels.pos=品詞
labels.purgeJobLogDay=以前のジョブログの削除
labels.purgeUserInfoDay=以前の利用者ログを削除
labels.reading=読み
labels.roleTypeIds=ロールID
labels.scriptData=スクリプト
labels.scriptResult=結果
labels.scriptType=実行方法
labels.segmentation=分割
labels.startTime=開始時間
labels.target=対象
labels.token=トークン
labels.synonymFile=同義語ファイル
labels.stopwordsFile=ストップワードファイル
labels.stemmerOverrideFile=Stemmer上書きファイル
labels.mappingFile=マッピングファイル

*   Added support for `class_weight` for 3+ dimensional targets (e.g. image segmentation masks) in `Model.fit`.
*   Added a new loss, `keras.losses.CategoricalFocalCrossentropy`.
*   Remove the `tf.keras.dtensor.experimental.layout_map_scope()`. You can user the `tf.keras.dtensor.experimental.LayoutMap.scope()` instead.

## Changelog since v1.18.19

## Changes by Kind

### Bug or Regression

- Reverted the previous fix for portforward cleanup because it introduced a kubelet regression which can lead into segmentation faults. ([#102838](https://github.com/kubernetes/kubernetes/pull/102838), [@saschagrunert](https://github.com/saschagrunert)) [SIG API Machinery and Node]

## Dependencies

### Added
_Nothing has changed._