one-more-re-nightmare
babashka
one-more-re-nightmare | babashka | |
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12 | 112 | |
133 | 3,824 | |
0.0% | 1.1% | |
4.2 | 9.2 | |
10 months ago | 8 days ago | |
Common Lisp | Clojure | |
BSD 2-clause "Simplified" License | Eclipse Public License 1.0 |
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one-more-re-nightmare
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Regular Expressions make me feel like a powerful wizard- that's not a good thing
Depends on your regex engine, and your non-regex solution. My engine (shameless self-plug https://github.com/telekons/one-more-re-nightmare) rivals hand-written automata, having to load each character more-or-less* only once, and throws in vectorisation for simple search loops too. I would not want to write or maintain the generated code.
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Don't be lazy this month!
one-more-re-nightmare used to let you write Σ, but I then tried to search Greek stuff with it and it went wrong. So now there's...$ for all characters (since that's not used for end-of-line assertions).
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When a young programmer who has been using C for several years is convinced that C is the best possible programming language and that people who don't prefer it just haven't use it enough, what is the best argument for Lisp vs C, given that they're already convinced in favor of C?
One trick is that Common Lisp can generate and compile code at runtime, whereas static languages typically do not have a compiler available at runtime. This lets you make your own lazy person's JIT/staged compiler, which is useful if some part of the problem is not known at compile-time. Such an approach has been used at least for array munging, type munging and regular expression munging.
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Tutorial Series to learn Common Lisp quickly
> One of my favorite examples is the regex library cl-ppcre. Thanks to the nature of Lisp, the recognizer for each regex you create can be compiled to native code on compiler implementations of CL.
That is not true - cl-ppcre generates a chain of closures. Experimental performance is in the same ballpark as typical "bytecode" interpreting regex implementations.
(Disclosure: I wrote another regex library at <https://github.com/telekons/one-more-re-nightmare>, which does do native code compilation.)
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The self-hosted Zig compiler can now successfully compile itself
Someone else didn't tell me that before, so it can't be true. But I don't publish papers on toys, nor do I think toy projects are awfully fast. Though the x86-64 backend I wrote was in someone else's repository and thus was several PRs :(
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Most interesting languages to learn (from)?
Regular expressions
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Is regex really fast in CL?
Also try this https://github.com/telekons/one-more-re-nightmare
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Why You Should Learn Lisp In 2022?
A Common Lisp system has the compiler around at runtime, so if you can figure out how to profitably stage/specialise a computation, then you can roll your own cheap JIT of sorts. This can be useful for array munging and regular expressions at the least. You can do this in C, of course but you would need to use another compiler as a library (e.g. LLVM, TCC, libgccjit) or write your own (e.g. PCRE2's sljit).
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LISP with GC in 436 bytes
Agree to disagree - I don't have the energy to remember operator precedence. One file from the regular expression compiler has most of the rewrite rules I read from the papers, except in S-expression syntax. There were a few bugs due to misreading precedence. Also c.f. Gerald Sussman talking about physics notation being a pain in the butt.
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The one-more-re-nightmare regular expression compiler
It's all part of the library. Everything about regular expression types is in this file.
babashka
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A Tour of Lisps
It also gives you access to Babashka if you want Clojure for other use-cases where start-up time is an issue
https://babashka.org/
- Babashka: Fast native Clojure scripting runtime
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What's the value proposition of meta circular interpreters?
I've tried researching this myself and can't find too much. There's this project metaes which is an mci for JS, and there's the SCI module of the Clojure babashka project, but that's about it. I also saw Triska's video on mci but it was pretty theoretical.
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Adding Dependencies on Clojure Project the Node Way: A Small Intro to neil CLI
Created by the same guy who created babashka which is a way to write bash scripts, node scripts, and even apple scripts using Clojure. A very proficient and influential developer in the Clojure community. This is how borkduke's neil helps us:
- Babashka
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Pure Bash Bible
Not what you asked for but there is Babashka for scripting in Clojure.
https://github.com/babashka/babashka
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Critique of Lazy Sequences in Clojure
Clojure's lazy sequences by default are wonderful ergonomically, but it provides many ways to use strict evaluation if you want to. They aren't really a hassle either. I've been doing Clojure for the last few years and have a few grievances, but overall it's the most coherent, well thought out language I've used and I can't recommend it enough.
There is the issue of startup time with the JVM, but you can also do AOT compilation now so that really isn't a problem. Here are some other cool projects to look at if you're interested:
Malli: https://github.com/metosin/malli
Babashka: https://github.com/babashka/babashka
Clerk: https://github.com/nextjournal/clerk
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Sharpscript: Lisp for Scripting
Being a Clojure addict, I guess I have to leave the obligatory link to Babashka too then: https://github.com/babashka/babashka (Native, fast starting Clojure interpreter for scripting)
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Rash – The Reckless Racket Shell
which is now on hiatus. babashka: https://babashka.org
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Are there any languages (that are in common use in companies) and higher-level that give you the same feeling of simplicity and standardization as C?
I've enjoyed babashka for scripting; which is close enough to clojure to allow using some/many libraries; but (probably) not for embedding.
What are some alternatives?
Revise.jl - Automatically update function definitions in a running Julia session
janet - A dynamic language and bytecode vm
SICL - A fresh implementation of Common Lisp
malli - High-performance data-driven data specification library for Clojure/Script.
zig - General-purpose programming language and toolchain for maintaining robust, optimal, and reusable software.
joker - Small Clojure interpreter, linter and formatter.
cl-ppcre - Common Lisp regular expression library
nbb - Scripting in Clojure on Node.js using SCI
oakc - A portable programming language with a compact intermediate representation
clojure-lsp - Clojure & ClojureScript Language Server (LSP) implementation
Petalisp - Elegant High Performance Computing
racket - The Racket repository