40 minutes
Any
English
Raku++ — a new Raku compiler aimed at Any and is held in English.
I'd like to introduce my implementation of the Raku programming language: Raku++ — this is a self-sufficient interpreter and compiler of Raku, written fully in C++.
The main goal was to make a tool that can run Raku programs really fast. So, here're some of the most bright features of what I managed to deliver:
- Startup time 2 ms
- In many cases, it's faster than a reference implementation
- Interpreter by default + REPL
- You can compile the same Raku program to a self-sufficient binary file that runs natively
- Covers 90%+ of the official test suite + passes a corpus of my own Raku programs
- Built-in linter, profiler, and syntax highlighter
- Available on macOS (both Apple Silicon and Intel), Windows (including MinGW), Linux, OpenBSD; there are also GNU Guix and Nix configurations options
On a separate note, I'd like to mention that the WebAssembly version runs in a browser, and the most exciting things here are:
The playground allows you to code Live, so to say: you type and see the result immediately.
As a showcase shop, I prepared a few Raku programs that parse other programming languages (using Raku grammars), not only Lisp or Forth, but also Python, Perl, and JavaScript/TypeScript.
The on-going work is to make Raku++ to understand more corner-case constructs, which are not explicitly written out neither in the official test suite nor in the official documentation. For that, I am creating a matrix grid of atomic tests. Here, dogfooding takes place in full speed: all the helper generators are run in Raku++.
A brief list of the most important milestones:
1.0.0 — 90% of Roast passing
1.1.0 — 100% of the Unicode support
1.5.1 — even faster: the hottest tests are 10-15% faster
1.5.2 — external modules pass their own tests
1.7.0 — another 10% off for the hottest test cases
2.0.0 — 50 of the most popular Raku modules fully pass
3.0.0 — no GIL, pure concurrency
3.1.0 — Raku++ can be linked to/from external programs
3.14.0 — slimmer binaries
Further information: https://raku.online/slides/rakupp-presentation.pdf
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