运行环境即设置 环境即状态共享 其他考虑 环境变量完整列表 Execution model Execution strategy Defining tasks Defining host lists Intelligently executing tasks with execute Failure handling Connections Password management Leveraging specific hosts、Execution model skip_unknown_tasks Default: False 如果为 True，fab``（或者其它非 ``fab 命令引起的 execute 调用）会跳过不存 在的任务而不会报错跳出。 参见 --skip-unknown-tasks ssh_config_path Default: $HOME/.ssh/config sudo_prefix sudo_user Default: None sudo 的 user 参数为 None 时使用的回调值。和 settings 一起使用时能起到很 大作用。 参见 sudo tasks Default: [] 由 fab 设置，应用于当前执行的所有任务列表。仅用于信息目的。 参见 Execution model timeout Default: 10 网络连接超时时间，单位为秒。

运行环境即设置 环境即状态共享 其他考虑 环境变量完整列表 Execution model Execution strategy Defining tasks Defining host lists Intelligently executing tasks with execute Failure handling Connections Password management Leveraging specific hosts、Execution model skip_unknown_tasks Default: False 如果为 True，fab``（或者其它非 ``fab 命令引起的 execute 调用）会跳过不存 在的任务而不会报错跳出。 参见 --skip-unknown-tasks ssh_config_path Default: $HOME/.ssh/config sudo_prefix sudo_user Default: None sudo 的 user 参数为 None 时使用的回调值。和 settings 一起使用时能起到很 大作用。 参见 sudo tasks Default: [] 由 fab 设置，应用于当前执行的所有任务列表。仅用于信息目的。 参见 Execution model timeout Default: 10 网络连接超时时间，单位为秒。

for inference, and leveraging transfer learning for tweaking existing pre-trained models to your tasks. Kotlin DataFrame is a library for structured data processing. It aims to reconcile Kotlin's static -Xallow-unstable-dependencies These checks are exclusively disabled for kapt tasks. All other compilation tasks will continue to utilize the new K2 compiler. If you encounter any issues when using automatically sets the language version to 2.0 and updates the build report with the number of Kotlin tasks compiled using the K2 compiler compared to the current compiler: ##### 'kotlin.experimental.tryK2'

for inference, and leveraging transfer learning for tweaking existing pre-trained models to your tasks. Kotlin DataFrame is a library for structured data processing. It aims to reconcile Kotlin's static -Xallow-unstable-dependencies These checks are exclusively disabled for kapt tasks. All other compilation tasks will continue to utilize the new K2 compiler. If you encounter any issues when using automatically sets the language version to 2.0 and updates the build report with the number of Kotlin tasks compiled using the K2 compiler compared to the current compiler: ##### 'kotlin.experimental.tryK2'

命令你只需要在终端中运行 gulp 命令即可。添加 -- production 标识到命令将会最小化 CSS 和 JavaScript 文件： // Run all tasks... gulp // Run all tasks and minify all CSS and JavaScript... gulp --production 监控前端资源改变 由于每次修改前端资源后都要运行 Artisan 命令可以用来生成多种类从而 节省重复的劳动，在本例中，我们使用 make:migration 命令生成 tasks 对应的数据表迁 移： php artisan make:migration create_tasks_table --create=tasks 该命令生成的迁移文件位于项目根目录下的 database/migrations 目录，可能你已经注意 到了，make:migration 到了，make:migration 命令已经在迁移文件中为我们添加了自增 ID 和时间戳，接下来我 们要编辑该文件添加更多的列到数据表 tasks：

PostgreSQL database server, see Database setup for Weblate. Redis server for cache and tasks queue, see Background tasks using Celery. SMTP server for outgoing e-mail, see Configuring outgoing e-mail. Python maintenance tasks For optimal performance, it is good idea to run some maintenance tasks in the background. This is now automatically done by Background tasks using Celery and covers following tasks: Configuration dump_memory. Fulltext and database maintenance tasks (daily and weekly tasks), see cleanuptrans. 在 3.2 版更改: Since version 3.2, the default way of executing these tasks is using Celery and Weblate already comes

示例： environment: CELERY_MAIN_OPTIONS: --concurrency 16 参见: Celery worker options, Background tasks using Celery UWSGI_WORKERS Configure how many uWSGI workers should be executed. It defaults to software for running production server, see Running server, Database setup for Weblate, Background tasks using Celery. Depending on size of your installation you might want to run these components on dedicated This is not necessary for development purposes, but strongly recommended otherwise. See Background tasks using Celery for more info: ~/weblate-env/lib/python3.7/site-packages/weblate/examples/celery start

示例： environment: CELERY_MAIN_OPTIONS: --concurrency 16 参见: Celery worker options, Background tasks using Celery UWSGI_WORKERS Configure how many uWSGI workers should be executed. It defaults to software for running production server, see Running server, Database setup for Weblate, Background tasks using Celery. Depending on size of your installation you might want to run these components on dedicated This is not necessary for development purposes, but strongly recommended otherwise. See Background tasks using Celery for more info: ~/weblate-env/lib/python3.7/site-packages/weblate/examples/celery start

示例： environment: CELERY_MAIN_OPTIONS: --concurrency 16 参见: Celery worker options, Background tasks using Celery UWSGI_WORKERS Configure how many uWSGI workers should be executed. It defaults to software for running production server, see Running server, Database setup for Weblate, Background tasks using Celery. Depending on size of your installation you might want to run these components on dedicated This is not necessary for development purposes, but strongly recommended otherwise. See Background tasks using Celery for more info: ~/weblate-env/lib/python3.7/site-packages/weblate/examples/celery start

为其操作使用其他服务。至少需要后面的服务运行： PostgreSQL 数据库服务器，请见 Database setup for Weblate 。 Redis 服务器，用于缓存和任务队列，请见 Background tasks using Celery 。 SMTP 服务器，用于发送电子邮件，请见 Configuring outgoing e-mail 。 Python 依赖性 Weblate 用 Python [https://www maintenance tasks For optimal performance, it is good idea to run some maintenance tasks in the background. This is now automatically done by Background tasks using Celery and covers following tasks: Configuration dump_memory. Fulltext and database maintenance tasks (daily and weekly tasks), see cleanuptrans. 在 3.2 版更改: Since version 3.2, the default way of executing these tasks is using Celery and Weblate already comes