one-more-re-nightmare
Revise.jl
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one-more-re-nightmare | Revise.jl | |
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11 | 6 | |
133 | 1,148 | |
0.8% | - | |
4.2 | 7.9 | |
9 months ago | 11 days ago | |
Common Lisp | Julia | |
BSD 2-clause "Simplified" License | GNU General Public License v3.0 or later |
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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.
Revise.jl
- Julia and Mojo (Modular) Mandelbrot Benchmark
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Very confused about using Modules (newbie from Python)
If you want to have changes in your module reflected in the REPL look into using Revise.jl.
- Tutorial Series to learn Common Lisp quickly
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Do you use Julia for general purpose tasks?
Do you try using Revise.jl? Reloads function definitions for you. Indispensable.
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Reloadr – Hot code reloading tool for Python
In Julia, this can be done with even less efforts on the user-side by loading Revise (https://github.com/timholy/Revise.jl) before any other package you load.
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Julia Update: Adoption Keeps Climbing; Is It a Python Challenger?
Julia has some packages to address this now.
What are some alternatives?
SICL - A fresh implementation of Common Lisp
Genie.jl - 🧞The highly productive Julia web framework
zig - General-purpose programming language and toolchain for maintaining robust, optimal, and reusable software.
PyCall.jl - Package to call Python functions from the Julia language
cl-ppcre - Common Lisp regular expression library
Chain.jl - A Julia package for piping a value through a series of transformation expressions using a more convenient syntax than Julia's native piping functionality.
Petalisp - Elegant High Performance Computing
PackageCompiler.jl - Compile your Julia Package
julia - The Julia Programming Language
jurigged - Hot reloading for Python
oakc - A portable programming language with a compact intermediate representation
RCall.jl - Call R from Julia