Sascha-T

/*
    Demonstrates usage of CPUID on Windows in a single Java file, and prints the processor vendor string.
    Uses Java 21 language features.
 */

import java.lang.foreign.*;
import java.lang.invoke.MethodHandle;
import java.nio.ByteBuffer;
import java.nio.ByteOrder;

kkinder

<templateSet group="Quasar">
  <template name="q-ajax-bar" value="&lt;q-ajax-bar&#10;    ref=&quot;$ref$&quot;&#10;    position=&quot;$position$&quot;&#10;    color=&quot;$color$&quot;&#10;    size=&quot;$size$&quot;&#10;    skip-hijack/&gt;&#10;" description="Ajax Bar" toReformat="true" toShortenFQNames="true">
    <variable name="ref" expression="" defaultValue="&quot;bar&quot;" alwaysStopAt="true" />
    <variable name="position" expression="" defaultValue="&quot;bottom&quot;" alwaysStopAt="true" />
    <variable name="color" expression="" defaultValue="&quot;accent&quot;" alwaysStopAt="true" />
    <variable name="size" expression="" defaultValue="&quot;10px&quot;" alwaysStopAt="true" />
    <context>
      <option name="VUE_TEMPLATE" value="true" />
    </context>
  </template>

LizAinslie

const options = {
	canvas: document.getElementById('editor'), // Or just 'editor'
	controls: document.getElementById('toolbar'), // Or just 'toolbar'
	controlsOptions: {
		framework: 'semantic_ui', // Other options are 'bootstrap_3' or 'bootstrap_4'
	},
};

const editor = new Editor(options);

lucario

{
    "username": "Reddit",
    "avatar_url": "https://lh3.googleusercontent.com/J41hsV2swVteoeB8pDhqbQR3H83NrEBFv2q_kYdq1xp9vsI1Gz9A9pzjcwX_JrZpPGsa=w300",
    "embeds": [{
        "color": "16597762",
        "author": {
            "name": "{{Author}}"
        },
        "title": "{{Title}}",
        "url": "{{PostURL}}",

kmhofmann

Building TensorFlow from source (TF 2.3.0, Ubuntu 20.04)

Why build from source?

The official instructions on installing TensorFlow are here: https://www.tensorflow.org/install. If you want to install TensorFlow just using pip, you are running a supported Ubuntu LTS distribution, and you're happy to install the respective tested CUDA versions (which often are outdated), by all means go ahead. A good alternative may be to run a Docker image.

I am usually unhappy with installing what in effect are pre-built binaries. These binaries are often not compatible with the Ubuntu version I am running, the CUDA version that I have installed, and so on. Furthermore, they may be slower than binaries optimized for the target architecture, since certain instructions are not being used (e.g. AVX2, FMA).

So installing TensorFlow from source becomes a necessity. The official instructions on building TensorFlow from source are here: ht

macroxela

import java.util.*;

public class Alien extends GameObject
{
	Random dice;
	int cnt = 1;
	int dx;
	int rand = 0;
	boolean shot;
	

torgeir

<project xmlns="http://maven.apache.org/POM/4.0.0"
         xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance"
         xsi:schemaLocation="http://maven.apache.org/POM/4.0.0 http://maven.apache.org/xsd/maven-4.0.0.xsd">
    <modelVersion>4.0.0</modelVersion>

    <groupId>gd.wa</groupId>
    <artifactId>minimal-pom</artifactId>
    <version>1.0-SNAPSHOT</version>
    <packaging>jar</packaging>

fish.py

#!/usr/local/bin/python3.2

"""

Python interpreter for the esoteric language ><> (pronounced /ˈfɪʃ/).
Usage: ./fish.py --help

More information: http://esolangs.org/wiki/Fish

Requires python 2.7/3.2 or higher.

randrews

#include <lua.h>
#include <lauxlib.h>
#include <lualib.h>
#include <stdlib.h>

int map_create(lua_State *lua);
int map_slice(lua_State *lua);

int main(int argc, char **argv){
	lua_State *lua = lua_open();