Search Results for "feedback"

... as soon as input leaves the scope of all selector matches. The tag scanner may also sometimes switch the parser to the Lexer - if it requires additional tag information for the parsing feedback simulation. Having two different parser implementations for the same grammar will increase development costs and is error-prone due to implementation inconsistencies. We minimize these risks by implementing a small Rust macro-based DSL which is similar in spirit to Ragel.

A command-line benchmarking tool. Statistical analysis across multiple runs. Support for arbitrary shell commands. Constant feedback about the benchmark progress and current estimates. Warmup runs can be executed before the actual benchmark. Cache-clearing commands can be set up before each timing run. Statistical outlier detection to detect interference from other programs and caching effects. Export results to various formats: CSV, JSON, Markdown, AsciiDoc. Parameterized benchmarks (e.g. vary...

... history modification rules. The command essentially looks at the lines that were modified, finds a changeset modifying those lines, and amends that changeset to include your uncommitted changes. If the changes can't be made without conflicts, they remain uncommitted. This workflow is insanely useful for things like applying review feedback. You just make file changes, run hg absorb and the mapping of changes to commits sorts itself out. It is magical.

This crate provides a set of tools for concurrent programming. Crossbeam supports stable Rust releases going back at least six months, and every time the minimum supported Rust version is increased, a new minor version is released. Currently, the minimum supported Rust version is 1.36. Crossbeam welcomes contribution from everyone in the form of suggestions, bug reports, pull requests, and feedback. We also have the RFCs repository for more high-level discussion, which is the place where we...

... Gleam's compiler provides clear and helpful feedback about any problems. We want to spend more time developing features and less time looking for bugs or deciphering cryptic error messages. Gleam builds on top of the Erlang virtual machine, a best-in-class runtime that has enabled companies such as Discord, Ericsson, Heroku, and WhatsApp to provide low-latency services at a global scale. Gleam takes full advantage of the Erlang runtime and adds no overhead of its own.