In the last few years, organizations started to adopt stream processing architectures to power a new generation of data-driven services that can detect events, predict behaviors, and respond to customer demand in real-time. As these early pilots become production-ready services, organizations gradually expand these stream processing and analytics dataflows to other services. Moreover, as data volu
dotenv-linter can check / fix / diff .env files for problems that may cause the application to malfunction. Available checks: ✅ Duplicated key ✅ Ending blank line ✅ Extra blank line ✅ Incorrect delimiter ✅ Key without value ✅ Leading character ✅ Lowercase key ✅ Quote character ✅ Schema violation ✅ Space character ✅ Substitution key ✅ Trailing whitespace ✅ Unordered key ✅ Value without quotes What
この記事ではmermaidをrustdoc中で使う方法についてまとめます。 Aquamarine crate 結論から先に書くと、aquamarineというcrateが存在し、これを使って次の様にAttributeを書くと使えます: #[cfg_attr(doc, aquamarine::aquamarine)] /// ```mermaid /// graph LR /// s([Source]) --> a[[aquamarine]] /// r[[rustdoc]] --> f([Docs w/ Mermaid!]) /// subgraph rustc[Rust Compiler] /// a -. inject mermaid.js .-> r /// end /// ``` pub fn example() {}
Carbon is a wonderful tool to create a beautiful image of your source code. But it is a web application, which brings the following disadvantages: Cannot work without Internet & browser. Doesn't work well with shell. (Although there is carbon-now-cli, its experience is not very good, especially when the network is not so good.) However, Silicon doesn't have these problems. It's is implemented in R
A high-level API to control headless Chrome or Chromium over the DevTools Protocol. It is the Rust equivalent of Puppeteer, a Node library maintained by the Chrome DevTools team. It is not 100% feature compatible with Puppeteer, but there's enough here to satisfy most browser testing / web crawling use cases, and there are several 'advanced' features such as: network request interception JavaScrip
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