插件的传递依赖项 弃用与删除 将 Kotlin 编译器选项暴露为 Gradle 惰性属性 To expose available Kotlin compiler options as Gradle lazy properties and to integrate them better into the Kotlin tasks, we made lots of changes: Compile presented a prototype of lazy initialization of top-level properties in the JS IR compiler. By eliminating the need to initialize all properties when the application launches, lazy initialization reduces polished and properly tested this mechanism, we're making lazy initialization the default for top-level properties in the IR compiler. // lazy initialization val a = run { val result = // intensive

covers following tasks: Configuration health check (hourly). Committing pending changes (hourly), see Lazy commits and weblate commit_pending. Updating component alerts (daily). Update remote branches (nightly) notifications. Offloading expensive operations from the wsgi process. Committing pending changes (see Lazy commits). A typical setup using Redis as a backend looks like this: See also Redis broker configuration setup for scheduled tasks. You can however define additional tasks in settings.py, for example see Lazy commits. The tasks are supposed to be executed by Celery beats daemon. In case it is not working

covers following tasks: Configuration health check (hourly). Committing pending changes (hourly), see Lazy commits and weblate commit_pending. Updating component alerts (daily). Update remote branches (nightly) notifications. Offloading expensive operations from the wsgi process. Committing pending changes (see Lazy commits). A typical setup using Redis as a backend looks like this: See also Redis broker configuration setup for scheduled tasks. You can however define additional tasks in settings.py, for example see Lazy commits. The tasks are supposed to be executed by Celery beats daemon. In case it is not working

covers following tasks: Configuration health check (hourly). Committing pending changes (hourly), see Lazy commits and weblate commit_pending. Updating component alerts (daily). Update remote branches (nightly) notifications. Offloading expensive operations from the wsgi process. Committing pending changes (see Lazy commits). A typical setup using Redis as a backend looks like this: See also Redis broker configuration setup for scheduled tasks. You can however define additional tasks in settings.py, for example see Lazy commits. The tasks are supposed to be executed by Celery beats daemon. In case it is not working

covers following tasks: Configuration health check (hourly). Committing pending changes (hourly), see Lazy commits and commit_pending. Updating component alerts (daily). Update remote branches (nightly), see notifications. Offloading expensive operations from the wsgi process. Committing pending changes (see Lazy commits). A typical setup using Redis as a backend looks like this: CELERY_TASK_ALWAYS_EAGER = False setup for scheduled tasks. You can however define additional tasks in settings.py, for example see Lazy commits. The tasks are supposed to be executed by Celery beats daemon. In case it is not working

covers following tasks: Configuration health check (hourly). Committing pending changes (hourly), see Lazy commits and commit_pending. Updating component alerts (daily). Update remote branches (nightly), see notifications. Offloading expensive operations from the wsgi process. Committing pending changes (see Lazy commits). A typical setup using Redis as a backend looks like this: CELERY_TASK_ALWAYS_EAGER = False setup for scheduled tasks. You can however define additional tasks in settings.py, for example see Lazy commits. The tasks are supposed to be executed by Celery beats daemon. In case it is not working

covers following tasks: Configuration health check (hourly). Committing pending changes (hourly), see Lazy commits and commit_pending. Updating component alerts (daily). Update remote branches (nightly), see notifications. Offloading expensive operations from the wsgi process. Committing pending changes (see Lazy commits). A typical setup using Redis as a backend looks like this: CELERY_TASK_ALWAYS_EAGER = False setup for scheduled tasks. You can however define additional tasks in settings.py, for example see Lazy commits. The tasks are supposed to be executed by Celery beats daemon. In case it is not working

covers following tasks: Configuration health check (hourly). Committing pending changes (hourly), see Lazy commits and commit_pending. Updating component alerts (daily). Update remote branches (nightly), see notifications. Offloading expensive operations from the wsgi process. Committing pending changes (see Lazy commits). A typical setup using Redis as a backend looks like this: CELERY_TASK_ALWAYS_EAGER = False setup for scheduled tasks. You can however define additional tasks in settings.py, for example see Lazy commits. The tasks are supposed to be executed by Celery beats daemon. In case it is not working

covers following tasks: Configuration health check (hourly). Committing pending changes (hourly), see Lazy commits and commit_pending. Updating component alerts (daily). Update remote branches (nightly), see notifications. Offloading expensive operations from the wsgi process. Committing pending changes (see Lazy commits). A typical setup using Redis as a backend looks like this: CELERY_TASK_ALWAYS_EAGER = False setup for scheduled tasks. You can however define additional tasks in settings.py, for example see Lazy commits. The tasks are supposed to be executed by Celery beats daemon. In case it is not working

covers following tasks: Configuration health check (hourly). Committing pending changes (hourly), see Lazy commits and commit_pending. Updating component alerts (daily). Update remote branches (nightly), see notifications. Offloading expensive operations from the wsgi process. Committing pending changes (see Lazy commits). A typical setup using Redis as a backend looks like this: CELERY_TASK_ALWAYS_EAGER = False setup for scheduled tasks. You can however define additional tasks in settings.py, for example see Lazy commits. The tasks are supposed to be executed by Celery beats daemon. In case it is not working