小粒度、多迭代 Tools VCS Yes CI Yes CD Yes Container Registry Yes CM 透过 Runner 間接運用 IaC 透过 Runner 間接運用 Container orchestration 可整合 ## 結語 ## GitOps = IaC + MRs + CI/CD GitOps is IaC

## Python for Good >>> PyCon China 2022 在浏览器中运行 Python 主讲人：韩骏 - Code Runner 作者 Python  HELLO WORLD ## 自我介绍 • 高级软件工程师 @ 微软开发平台事业部 • 《Visual Studio Code 权威指南》作者 • 20 多款 VS Code 插件（比如 Code Runner） • “玩转VS Code” 知乎专栏 & 微信公众号 • VS Code 中文社区创始人 • https://github.com/formulahendry/955.WLB • 内推 100+ 人拿到微软 com/formulahendry/vscode-code-runner-for-web https://github.com/microsoft/vscode-python-web-wasm  ## Code Runner for Web Jun Han |

~~^^~~ referenced by: main: constant_identifier_cannot_change.zig:12:5 callMain: /home/ci/actions-runner/_work/zig-bootstrap/out/host/lib/zig/std/start.zi remaining reference traces hidden; use '-p argument is false to indicate a failure. // 'try' is used to return an error to the test runner to notify it that the test failed. try std.testing.expect(addOne(41) == 42); } test addOne { test runner provided by the Zig Standard Library as its main entry point. During the build, test declarations found while resolving the given Zig source file are included for the default test runner to run

~~^~~ referenced by: main: constant_identifier_cannot_change.zig:12:5 callMain: /home/ci/actions-runner/_work/zig-bootstrap/out/host/lib/zig/std/start.zi remaining reference traces hidden; use '-p argument is false to indicate a failure. // 'try' is used to return an error to the test runner to notify it that the test try std.testing.expect(addOne(41) == 42); test addOne { // A test test runner provided by the Zig_Standard Library as its main entry point. During the build, test declarations found while resolving the given Zig source file are included for the default test runner to run

test std.testing.expect(foo(bytes) == 0x1111111); /home/andy/Downloads/zig/lib/std/special/test_runner.zig:61:28: 0x21 } else test_fn.func(); /home/andy/Downloads/zig/lib/std/start.zig:334:37: 0x20748d test.zig:22:10: 0x205b06 in test. slice[10] += 1; /home/andy/Downloads/zig/lib/std/special/test_runner.zig:61:28: 0x205b06 in test. } else test_fn.func(); /home/andy/Downloads/zig/lib/std/start.zig:334:37: zig:8:12: 0x2059db in test payload.float = 12.34; /home/andy/Downloads/zig/lib/std/special/test_runner.zig:61:28: 0x2122 } else test_fn.func(); /home/andy/Downloads/zig/lib/std/start.zig:334:37:

外部渲染器 搜索引擎索引 自定义 Gitea 配置 添加法律页面 使用 ## Actions Gitea Actions 快速入门 Act Runner 与GitHub Actions的对比 Gitea Actions设计 Gitea Actions常见问题解答 包 软件包注册表 Cargo 软件包注册表 Chef 软件包注册表 actions generate-runner-token 生成一个供 Runner 使用的新令牌，用于向服务器注册。 选项： --scope {owner}[/{repo}], -s {owner}[/{repo}]：限制 Runner 的范围，没有范围表示该 Runner 可用于所有仓库，但你也可以将其限制为特定的仓库或所有者。 要注册全局 Runner: 1. gitea actions generate-runner-token 要注册特定组织的 Runner，例如 org : 1. gitea actions generate-runner-token -s org 要注册特定仓库的 Runner，例如 username/test-repo : 1. gitea actions generate-runner-token

以及兼容性报告.....48 7.1.6 查看兼容性报告，调整直到兼容性报告符合预期.....49 7.1.7 运行 odps_ddl_runner.py 生成 odps 表和分区.....50 7.1.8 运行 hive_udtf_sql_runner.py，将 hive 的数据同步到 odps.....51 7.2 进阶功能.....52 7.2.1 仅生成指定 database meta-carrier 用于获取Hive metadata的工具 meta-processor 用于生成ODPS DDL及Hive UDF SQL的工具 odps_ddl_runner.py 用于运行ODPS DDL的工具 hive_udtf_sql_runner.py 用于运行Hive UDF SQL的工具 sql-checker 用于检查用户Hive SQL是否能直接在ODPS上运行的工具 libs data- excluded from the package, available values are: meta-carrier meta-processor odps-ddl- runner hive-udtf-sql-runner network-measurement-tool sql-checker 编译环境要求：JDK 1.8+、Apache Maven 3.x、Python 3.x ####

Task States - celery.states Messaging - celery.messaging Contrib: Test runner - celery.contrib.test_runner Contrib: Abortable tasks - celery.contrib.abortable Django Views - celery.views start-stop-daemon • supervisord ☐ launchd (OS X) • Unit Testing • Testing with Django ☐ Using a custom test runner to test with celery. This page contains common recipes and techniques. Whenever a setting is mentioned problem that you’ll first run in to when trying to write a test that runs a task is that Django’s test runner doesn’t use the same database that your celery daemon is using. If you’re using the database backend

function run(runner) { runner.run() } class Runner { run() { console.log('Runner!') } } # run({ run() { console.log('Object!') } }) run(new Runner) interface Runnable } function run(runner:Runnable) { runner.run() } class Runner { run() { console.log('Runner!') } } run({ run() { console.log('Object!') } }) run(new Runner) ## 没有泛型怎么够 Go

problem that you’ll first run in to when trying to write a test that runs a task is that Django’s test runner doesn’t use the same database that your celery daemon is using. If you’re using the database backend custom test runner to test with celery If you’re going the CELERY_ALWAYS_EAGER route, which is probably better than just never testing some parts of your app, a custom Django test runner does the trick provides a simple test runner, but it’s easy enough to roll your own if you have other things that need to be done. http://docs.djangoproject.com/en/dev/topics/testing/#defining-a-test-runner For this example