classic
femtolisp
classic | femtolisp | |
---|---|---|
11 | 10 | |
787 | 1,550 | |
- | - | |
0.0 | 0.0 | |
over 2 years ago | about 4 years ago | |
Lua | Scheme | |
MIT License | BSD 3-clause "New" or "Revised" License |
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classic
- fe: A tiny, embeddable language implemented in ANSI C
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Learning on Roblox
Once they grasp some lua basics and I've actually got a little code running but before I do much to make a game. I'd suggest you give them loom my fork includes the documentation with the code. Also a class system either a basic but easy to understand or more featureful.
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Could someone critique my way of doing simple OOP and perhaps offer improvements or tell me if I'm doing something wrong?
I can't criticism your implementation at the moment but I want to share a tiny class module for Lua as a inspiration. https://github.com/rxi/classic
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New to Lua and coding in general. Trying to understand the self command. Why does Version 1 of this code work and Version 2/3 not work?
(this example uses classic, which is a library I like using for OOP to keep things simple)
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Arbitrary 'require' order
I like classic over middleclass: https://github.com/rxi/classic Feels lighter weight, like barely anything.
- How would I go about creating a item/object and be able to instance it.
- I'm confused how inheritance works in Lua. What am I doing wrong?
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Comparing Unreal, Unity, Godot, and Defold game engines in a graphical table of features
You can do oop in Lua too! You just need a class lib.
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I would like to animate a circle moving around a circle (api = love)
I'd recommend spending a bit of time with the readme for classic: https://github.com/rxi/classic
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Any Lua exercises?
Get as simple as possible OOP library, for example this one and write some code using it. This library can inherit ordinary functions, but not any metamethods. Try to improve it. If you can implement metamethod chaining inheritance that allows you to __call an instance of inherited classes like a function, then you understand metamethods thoroughly. Even if you fail, it still will be a good practice.
femtolisp
- Petalisp: Elegant High Performance Computing
- fe: A tiny, embeddable language implemented in ANSI C
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From Common Lisp to Julia
> In short, Julia is very similar to Common Lisp, but brings a lot of extra niceties to the table
This probably because Jeff Bezanson, the creator of Julia, created a Lisp prior to Julia, which I think still exists inside Julia in some fashion
https://github.com/JeffBezanson/femtolisp
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Modern Python Performance Considerations
Well let's flip this around: do you think you could write a performant minimal Python in a weekend? Scheme is a very simple and elegant idea. Its power derives from the fact that smart people went to considerable pains to distill computation to limited set of things. "Complete" (i.e. rXrs) schemes build quite a lot of themselves... in scheme, from a pretty tiny core. I suspect Jeff Bezanson spent more than a weekend writing femtolisp, but that isn't really important. He's one guy who wrote a pretty darned performant lisp that does useful computation as a passion project. Check out his readme; it's fascinating: https://github.com/JeffBezanson/femtolisp
You simply can't say these things about Python (and I generally like Python!). It's truer for PyPy, but PyPy is pretty big and complex itself. Take a look at the source for the scheme or scheme-derived language of your choice sometime. I can't claim to be an expert in any of what's going on in there, but I think you'll be surprised how far down those parens go.
The claim I was responding to asserted that lisps and smalltalks can only be fast because of complex JIT compiling. That is trueish in practice for Smalltalk and certainly modern Javascript... but it simply isn't true for every lisp. Certainly JIT-ed lisps can be extremely fast, but it's not the only path to a performant lisp. In these benchmarks you'll see a diversity of approaches even among the top performers: https://ecraven.github.io/r7rs-benchmarks/
Given how many performant implementations of Scheme there are, I just don't think you can claim it's because of complex implementations by well-resourced groups. To me, I think the logical conclusion is that Scheme (and other lisps for the most part) are intrinsically pretty optimizable compared to Python. If we look at Common Lisp, there are also multiple performant implementations, some approximately competitive with Java which has had enormous resources poured into making it performant.
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CppCast: Julia
While it uses an Algol inspired syntax, it has the same approach to OOP programing as CLOS(Common Lisp Object System), with multi-methods and protocols, it has a quite powerfull macro system like Lisp, similar REPL experience, and underneath it is powerered by femtolisp.
- Julia and the Incarceration of Lisp
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What is the smallest x86 lisp?
For a real answer, other replies have already mentioned KiloLisp, but there's also femtolisp. Also, not exactly what you're asking for, but Maru is a very compact and elegant self-hosting lisp (compiles to x86).
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lisp but small and low level?Does it make sense?
Take a look at femtolisp It has some low level features and is quite small. There is also a maintenance fork at lambdaconservatory
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Lispsyntax.jl: A Clojure-like Lisp syntax for julia
A fun Julia easter egg I recently discovered.
Running 'julia --lisp' launches a femtolisp (https://github.com/JeffBezanson/femtolisp) interpreter.
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Wisp: A light Lisp written in C++
Reminds me of the femtolisp README :)
Almost everybody has their own lisp implementation. Some programmers' dogs and cats probably have their own lisp implementations as well. This is great, but too often I see people omit some of the obscure but critical features that make lisp uniquely wonderful. These include read macros like #. and backreferences, gensyms, and properly escaped symbol names. If you're going to waste everybody's time with yet another lisp, at least do it right damnit.
https://github.com/JeffBezanson/femtolisp
What are some alternatives?
awesome-love2d - A curated list of amazingly awesome LÖVE libraries, resources and shiny things.
small-lisp - A very small lisp interpreter, that I may one day get working on my 8-bit AVR microcontroller.
middleclass - Object-orientation for Lua
julia - The Julia Programming Language
TIC-80 - TIC-80 is a fantasy computer for making, playing and sharing tiny games.
Carp - A statically typed lisp, without a GC, for real-time applications.
awesome-lua - A curated list of quality Lua packages and resources.
Fennel - Lua Lisp Language
love - LÖVE is an awesome 2D game framework for Lua.
sectorlisp - Bootstrapping LISP in a Boot Sector
glsp - Language Server Protocol SDK for Go
hissp - It's Python with a Lissp.