one-more-re-nightmare
clog
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Common Lisp | Common Lisp | |
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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.
clog
- Embracing Common Lisp in the Modern World
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Use any web browser as GUI, with Zig in the back end and HTML5 in the front end
Reminds me of the approach of CLOG (Common Lisp Omnificent Gui[1]) and its ancestor GNOGA (The GNU Omnificent GUI for Ada[2]).
They also integrate basic components and even graphical UI editor (at least for CLOG), so you can essentially develop the whole thing from inside CL or Ada
[1] https://github.com/rabbibotton/clog
[2] https://github.com/alire-project/gnoga
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Common Lisp: An Interactive Approach (1992) [pdf]
For me David Botton [0] with his work including code, support and videos is doing very nice work in this direction.
I use SBCL for everything but work because I cannot get; we are getting there, but like you say, it’s such a nice experience working interactively building fast that it is magic and it’s painful returning to my daily work of Python and typescript/react. It feels like a waste of time/life, really.
[0] https://github.com/rabbibotton/clog
- CLOG - The Common Lisp Omnificent GUI
- Clog The Common Lisp Omnificent GUI
- Clog – The Common Lisp Omnificent GUI
- Tkinter Designer: Quickly Turn Figma Design to Python Tkinter GUI
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Want to learn lisp?
I was following along on the Windows page and didn't check back on the main README to see if any of the other instructions would help.
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All Web frontend lisp projects
It the answer is "latter", then you could look at Common Lisp and Reblocks (https://40ants.com/reblocks/) or CLOG (https://github.com/rabbibotton/clog).
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How to Understand and Use Common Lisp
I haven't used Clojure professionally in 10 years so with a grain of salt here are my thoughts as only one other person answered...
CL over Clojure: it's the OG Lisp that the creator of Clojure used and wanted to continue using but faced too much resistance from management afraid of anything not-Java/not-Oracle, or not-CLR/not-Microsoft, etc. Clojure shipped originally as "just another jar" so devs could "sneak" it in. If you don't have such a management restriction, why Clojure? If you want to integrate CL with the JVM, you can use the ABCL implementation, there's also something from one of the proprietary Lisps. Some useful CL features that are nice in this domain: conditions and restarts mentioned in a sibling comment (very nice to help interactively develop/debug e.g. a selenium webdriver test), ability to easily compile an exe (perhaps useful for microservices, or just to keep your deployment environment clean and not having to care about Lisp), and ability to easily ship with an open local socket allowing you to SSH in (or SSH port forward) and debug/fix/poke around in production (JVM of course lets you attach debuggers to a running process, even certain billion+ dollar companies will have supervised/limited prod debugging sessions for various hairy cases, but it's not as interactive). You should never hear CL advocates claim you can't scale to large teams/groups of engineers or large multi-million-lines sized projects, though you might oddly hear Clojure advocates sometimes claim you can't (and shouldn't) scale to such large projects -- large groups of engineers are a non-issue for them as well though, the challenge is in hiring, not in the language somehow making it impossible to modularize and keep people from stepping on each other.
Clojure over CL: its integration with the JVM is nicer than ABCL's, so if you do actually want a lot of the great world of Java stuff, it's easier to get at. Database integration libraries are better. Access to libs (Clojure or Java) is via Maven, so it's a larger ecosystem with more self-integrating components (especially around monitoring/metrics) than what's available for Lisp via Quicklisp. Clojure is very opinionated, much of it quite tasteful, and that gives the whole ecosystem a certain consistency. (You can have immutable data structures in CL, you can if you want use [] for literal vectors and make them syntactically important e.g. in let bindings, but not everyone will be on board.) Even though its popularity seems to have stopped growing, at least at the same rate as e.g. Go which it was keeping pace with for a while, it's still popular enough with a bigger community; as a proxy measure there are multiple conferences around the world and good talks at adjacent conferences, whereas Lisp mostly just has one conference in Europe per year and only occasional branching outside of that.
If you're doing a client-side-heavy webapp, ClojureScript is still amazing, CL's answers there aren't very compelling with the exception of CLOG (https://github.com/rabbibotton/clog) which takes an entirely different direction than the usual idea of translating/running Lisp on top of JavaScript and its popular frameworks.
What are some alternatives?
Revise.jl - Automatically update function definitions in a running Julia session
kandria - A post-apocalyptic actionRPG. Now on Steam!
SICL - A fresh implementation of Common Lisp
stumpwm - The Stump Window Manager
zig - General-purpose programming language and toolchain for maintaining robust, optimal, and reusable software.
awesome-cl - A curated list of awesome Common Lisp frameworks, libraries and other shiny stuff.
cl-ppcre - Common Lisp regular expression library
electron-sbcl-sqlite - A simple boilerplate that builds an Electron app with SBCL and SQLite3 embedded
oakc - A portable programming language with a compact intermediate representation
weblocks - This fork was created to experiment with some refactorings. They are collected in branch "reblocks".
Petalisp - Elegant High Performance Computing
kons-9 - Common Lisp 3D Graphics Project