Search Results for "macros"

This is a workshop/repository by the Rust developer David Tolnay (dtolnay) intended to teach how to write Rust procedural macros (derive macros, function-like macros, attribute macros). The repo contains multiple toy/realistic macro projects drawn from real use-cases: e.g., derive(Builder), derive(CustomDebug), seq!, #[sorted], #[bitfield]. The README indicates the focus is on learning: parsing token streams, generating code, handling generics, attribute arguments, etc. ...

...The documentation emphasises that while the crate is geared for procedural macros (and custom derives), some of the APIs may be of more general use. Using syn you can effectively write code that analyzes or generates Rust code at compile time.

Rust numeric library contains linear algebra, numerical analysis, statistics and machine learning tools with R, MATLAB, Python-like macros. Peroxide uses a 1D data structure to represent matrices, making it straightforward to integrate with BLAS (Basic Linear Algebra Subprograms). This means that Peroxide can guarantee excellent performance for linear algebraic computations by leveraging the optimized routines provided by BLAS. For users familiar with numerical computing libraries like NumPy, MATLAB, or R, Rust's syntax might seem unfamiliar at first. ...

...It lets developers compare complex values against stored reference outputs instead of writing fragile manual assertions. Snapshot tests are useful when outputs are large, structured, or expected to change during development. The project includes macros for generating snapshots, reviewing changes, and storing inline snapshots inside source files. A companion cargo tool helps manage the review workflow, while a VS Code extension improves snapshot file editing and inspection. Insta is especially useful for command output, serializers, parsers, compilers, debug values, and tests where human review matters.

...It is fully compatible with the GraphQL specification and most of its extensions and offers type safety and high performance. You can define a Schema in Rust and procedural macros will automatically generate code for a GraphQL query. This library does not extend Rust's syntax, which means that Rustfmt can be used normally. I value this highly and it is one of the reasons why I developed Async-graphql. I like GraphQL and Rust. I've been using Juniper, which solves the problem of implementing a GraphQL server with Rust. ...

pom is a parser combinator library in Rust, utilizing operator overloading to build parsers in a modular and readable way. It facilitates the construction of complex parsers without macros. ​

rust_cmd_lib is a Rust library designed to make it easier to write shell-script–style tasks in Rust, blending the power and safety of Rust with the expressiveness of shell pipelines. It provides macros and utilities that let you spawn external processes, redirect input/output, and pipe commands together, all without invoking a shell. You can write something like run_cmd!(ls -l | grep foo > out.txt) in a more declarative style, rather than manually wiring up file descriptors, handles, and child processes. The library also supports features like variable substitution, scoped environment settings, and defining custom commands (functions) that behave like built-ins. ...