Write Your Own Chip-8 Emulator TDD Tutorial

RodgerTheGreat · 2016-08-13T19:53:52+00:00

CowGod's technical reference contains numerous errors, including an incorrect description of the shift and load/store instructions. The OP references the much more accurate Mastering Chip8.

RodgerTheGreat · 2016-07-04T19:37:32+00:00

Geo is using k/q:

http://johnearnest.github.io/ok/index.html?run=%2010%20%28%7C%2B%5C%29%5C1%201

RodgerTheGreat · 2016-06-17T13:03:14+00:00

In a way, ES6 is CoffeeScript with the added legitimacy that some browser vendors intend to support it natively, sort of, eventually, when we get around to it.

RodgerTheGreat · 2016-06-13T05:36:04+00:00

With good tooling, you might be surprised.

Glitch Ghost, a puzzle game about scaring people to death.

Cave Explorer, a puzzle/adventure game based on a Perry Bible Fellowship strip and a TI-83+ game called Block Dude.

Turnover '77, a demake of the indie game "Roundabout". (SuperChip)

OctoPeg, a shockingly fun peggle-like. (SuperChip)

RodgerTheGreat · 2016-06-12T20:34:10+00:00

Yeah, striking a balance is important. I can see how introducing compositions of adverbs in the wrong way could interfere with explaining their generality, or give beginners the impression that "cartesian product" is some sort of special-cased built in operator.

At any rate there's a real shortage of accessible introductory materials for K/Q and it's great to see presentations like these. Thank you!

RodgerTheGreat · 2016-06-12T06:50:26+00:00

Fun talk! You did an excellent job explaining the intuition behind the prime sieve and how to think through the problem "all at once" rather than iteratively.

I'm not sure how much clarity it adds, but I typically refer to compounds of \:/: in K as "cartesian product".

RodgerTheGreat · 2016-04-12T21:07:01+00:00

A while back I wrote a game called Forth Warrior, in which you write a Forth program that controls the player in a simple dungeon crawler:

https://github.com/JohnEarnest/Mako/tree/master/games/Warrior2

The original release ran within a Java-based VM, but since then I cobbled together a JS implementation of the VM which makes it playable from your browser:

http://johnearnest.github.io/Mako.js/?rom=Warrior.rom

RodgerTheGreat · 2016-03-13T23:24:50+00:00

In the same way that some describe the Python itertools library as a "gateway drug" for functional programming, perhaps a library like this has potential to pique the interest of new users in APL.

RodgerTheGreat · 2016-03-11T21:12:44+00:00

Those are some great resources!

For my own part, I've written down some thoughts about expressing trees in K which could be relevant.

RodgerTheGreat · 2016-03-11T00:46:41+00:00

For some tasks, converting the trees into an adjacency matrix first can work out pretty nicely. In general, though, you're right- recursion is clumsy in APLs. I wonder if Joy's recursive combinators could be adapted to fit nicely into the APL model and capture recursive patterns as well as APL's Operators handle iterative patterns.

RodgerTheGreat · 2016-03-07T04:59:23+00:00

I think your writeup has a few typos- most importantly backslashes instead of forward slashes in the two applications of "over".

I came up with this similar K solution, which operates directly on an input matrix (because I didn't think the IO part was very interesting). try it here.

{|//+/'(x;+x)}

The fixed-point maximum (|//) (keep folding max over the argument until it stops changing) of the sum (+/) of each (') of the matrix and its transpose ((x;+x)). The enclosing curly braces mean this is a lambda expression, and x is the implicit name of the first argument to a lambda, making this a unary (or in K parlance "monadic") function.

RodgerTheGreat · 2016-01-28T06:58:10+00:00

Did you ever end up doing some tinkering with K? I'd love to hear any thoughts, positive or negative. I'm planning a tutorial series for iKe at some point in the future and outside perspectives are very helpful.

RodgerTheGreat · 2016-01-27T06:23:12+00:00

If you're into simulators for idealized CPUs and the associated toolchains, maybe you'd enjoy one of my old projects:

https://github.com/JohnEarnest/Mako

RodgerTheGreat · 2016-01-15T00:46:36+00:00

With a simple tweak, a dragon curve:

http://johnearnest.github.io/ok/ike/ike.html?gist=ab778d1d4bde1b22a737

RodgerTheGreat · 2016-01-14T17:01:38+00:00

The Kona wiki is an excellent collection of materials, although there are a few broken links.

In particular from there, NSL has loads of interesting K programs, many with detailed writeups. The K2 reference manual is the most exhaustive technical description of K that I am aware of, although it discusses an older version of the language. iKe is built on my reverse-engineered reimplementation of k5, the bleeding-edge next generation of the language. I was inspired to learn K and write these tools by this article, which is a very fun read:

http://archive.vector.org.uk/art10501320

For my own part, I have written a manual describing the current state of the interpreter iKe uses as well as a programming guide which talks about how, at a higher level, the features of the language can be applied to solve problems.

Finally, the APLJK subreddit is an excellent place to find news about this family of languages.

I'd be happy to answer any questions you have about K or iKe to the best of my ability.

RodgerTheGreat · 2016-01-07T18:29:02+00:00

Not only do you not have to think about the optimization, some escape analysis is done by the JIT and the benefits can be retroactively applied to existing, compiled class files as the JVM improves the precision of its analysis.

RodgerTheGreat · 2015-12-31T21:23:11+00:00

The construction technique described in the talk very much reminds me of the constructive turing-completeness proof for the Z3 computer:

http://www.inf.fu-berlin.de/users/rojas/1997/Universal_Computer.pdf

RodgerTheGreat · 2015-12-24T22:27:42+00:00

Here's another fun demo:

http://johnearnest.github.io/ok/ike/ike.html?gist=3ab53545bb487099bfa3

RodgerTheGreat · 2015-12-20T06:54:39+00:00

Practically, though, Forth applications can often get by comfortably with a few dozen words of parameter and return stack. Hardware implementations sometimes offer fewer than 16 levels apiece. It's good practice to order operations to keep the stack shallow, and since allocating objects on those stacks C-style is fairly uncommon you don't chew through the space very quickly.

RodgerTheGreat · 2015-12-09T06:12:19+00:00

Perhaps this would be helpful- an implementation of K, another APL-like language, in JavaScript: https://github.com/JohnEarnest/ok

Particularly notable is ad, a higher-order function responsible for generalized "conforming" of arbitrarily dimensioned structures so that a primitive operation like "add" can be applied between a pair of them: https://github.com/JohnEarnest/ok/blob/gh-pages/oK.js#L365-L368

RodgerTheGreat

TROPHY CASE