A gentle exploration of building a identd for Linux using async/await and tokio 0.2. This part demonstrates halting an await after a configurable time limit, both using tokio's timeout() helper and with the select! macro from the futures crate.
Rust libraries come in a variety of API styles and futures are just one option. In this video we compare and contrast four styles from three crates: 1. Synchronous blocking functions (websocket) 2. Single thread reactor (ws-rs) 3. Non-blockin...
A discussion of how futures are given to an async executor and later dropped. Examples of cancelling an Interval stream by erroring out of for_each, and by selecting against another future.
The most difficult fields to validate are so called free text fields", as the most frequent stereotype of web application input valiation goes, becomes even more complicated when the free text contains multi-language Unicode. Unicode is indeed com...
Exploring how to create data structures that are owned by C and pass pointers back to Rust to operate on them. This is easy for a basic struct but when you introduce generics or traits, things get interesting. Content warning: inadvisable C code.
**Benedict Lau "Distributed secure routing in permissionless flat networks"** Radical Networks 2018 - Lightning Talks! Full presentation https://benhylau.github.io/talks-and-workshops/talks/201810_radical-networks-lightning/#1
Experiments with tokio’s lines() function, fold(), and a custom multi-stage future with inner futures and the try_ready macro. With this episode, we are now up to four sub-optimal ways to count the number of lines in a file.
I play around with a standalone future to see how the tokio executor’s polling works in practice. I then adapt a callback-based API to work with futures, including a full implementation of a leaf future that transitions from NotReady to Ready.
Visual Studio Code is a convenient cross-platform environment for writing Rust code. By installing and configuring a few extra plugins—Better TOML, RLS and CodeLLDB—it can quickly become a full-fledged IDE. Nightly components status Mac: https...
Two-legged gait developed by a model-based reinforcement learning controller after ~30 min of training.
Undulating gait pattern developed by a model-based reinforcement learning algorithm after 30-50 minutes of training.
