(by @andrestaltz)
If you prefer to watch video tutorials with live-coding, then check out this series I recorded with the same contents as in this article: Egghead.io - Introduction to Reactive Programming.
(by @andrestaltz)
If you prefer to watch video tutorials with live-coding, then check out this series I recorded with the same contents as in this article: Egghead.io - Introduction to Reactive Programming.
A couple of weeks ago I played (and finished) A Plague Tale, a game by Asobo Studio. I was really captivated by the game, not only by the beautiful graphics but also by the story and the locations in the game. I decided to investigate a bit about the game tech and I was surprised to see it was developed with a custom engine by a relatively small studio. I know there are some companies using custom engines but it's very difficult to find a detailed market study with that kind of information curated and updated. So this article.
Nowadays lots of companies choose engines like Unreal or Unity for their games (or that's what lot of people think) because d
Author: Chris Lattner
#include <time.h> // Robert Nystrom | |
#include <stdio.h> // @munificentbob | |
#include <stdlib.h> // for Ginny | |
#define r return // 2008-2019 | |
#define l(a, b, c, d) for (i y=a;y\ | |
<b; y++) for (int x = c; x < d; x++) | |
typedef int i;const i H=40;const i W | |
=80;i m[40][80];i g(i x){r rand()%x; | |
}void cave(i s){i w=g(10)+5;i h=g(6) | |
+3;i t=g(W-w-2)+1;i u=g(H-h-2)+1;l(u |
/** | |
* K.jpg's OpenSimplex 2, smooth variant ("SuperSimplex") | |
* | |
* More language ports, as well as legacy 2014 OpenSimplex, can be found here: | |
* https://github.com/KdotJPG/OpenSimplex2 | |
*/ | |
public class OpenSimplex2S { | |
private static final long PRIME_X = 0x5205402B9270C86FL; |
I was talking to a coworker recently about general techniques that almost always form the core of any effort to write very fast, down-to-the-metal hot path code on the JVM, and they pointed out that there really isn't a particularly good place to go for this information. It occurred to me that, really, I had more or less picked up all of it by word of mouth and experience, and there just aren't any good reference sources on the topic. So… here's my word of mouth.
This is by no means a comprehensive gist. It's also important to understand that the techniques that I outline in here are not 100% absolute either. Performance on the JVM is an incredibly complicated subject, and while there are rules that almost always hold true, the "almost" remains very salient. Also, for many or even most applications, there will be other techniques that I'm not mentioning which will have a greater impact. JMH, Java Flight Recorder, and a good profiler are your very best friend! Mea
# Thanks to commenters for providing the base of this much nicer implementation! | |
# Save and run with $ python 0dedict.py | |
# You may need to hunt down the dictionary files yourself and change the awful path string below. | |
# This works for me on MacOS 10.14 Mohave | |
from struct import unpack | |
from zlib import decompress | |
import re | |
filename = '/System/Library/Assets/com_apple_MobileAsset_DictionaryServices_dictionaryOSX/9f5862030e8f00af171924ebbc23ebfd6e91af78.asset/AssetData/Oxford Dictionary of English.dictionary/Contents/Resources/Body.data' | |
f = open(filename, 'rb') |