savage69kr

Next.js client-only SPA example

Made this example to show how to use Next.js router for a 100% SPA (no JS server) app.

You use Next.js router like normally, but don't define getStaticProps and such. Instead you do client-only fetching with swr, react-query, or similar methods.

You can generate HTML fallback for the page if there's something meaningful to show before you "know" the params. (Remember, HTML is static, so it can't respond to dynamic query. But it can be different per route.)

Don't like Next? Here's how to do the same in Gatsby.

savage69kr

"""
MIT License

Copyright (c) 2023 David Buchanan

Permission is hereby granted, free of charge, to any person obtaining a copy
of this software and associated documentation files (the "Software"), to deal
in the Software without restriction, including without limitation the rights
to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
copies of the Software, and to permit persons to whom the Software is

savage69kr

The included script 'widevine-flash_armhf.sh' fetches a ChromeOS image for ARM and extracts the Widevine binary, saving it in a compressed archive. Since it downloads a fairly large file (2Gb+ on disk after download) it is recommended that you run the script on a machine that has plenty of disk space.

To install the resultant archive, issue the following on your ARM machine–after copying over the archive if needed:

sudo tar Cfx / widevine-flash-20200124_armhf.tgz

(Where 'widevine-flash-20200124_armhf.tgz' is updated to reflect the actual name of the created archive)

savage69kr

"""Performs automatic speed edits to audio books.

Example usage:

Assuming you have an audiobook book.aax on your Desktop:

1. Convert it to wav:
ffmpeg -i ~/Desktop/book.aax ~/Desktop/book.wav

2. Adjust the speed:

savage69kr

Using Linear Algebra to Convert a Large Code Model

Background

The SalesForce CodeGen models are a family of large language models trained on a large amount of natural language data and then fine-tuned on specialized datasets of code. Models of size 350M, 2B, 6B, and 16B parameters are provided in three flavors:

• nl, the base model trained on The Pile, a large natural language dataset compiled by EleutherAI
• multi, which is fine-tuned from the nl model on a dataset of code in multiple languages, scraped from GitHub, and
• mono, which is fine-tuned from the multi model on Python code only.

savage69kr

'''
Using OpenCV takes a mp4 video and produces a number of images.

Requirements
----
You require OpenCV 3.2 to be installed.

Run
----
Open the main.py and edit the path to the video. Then run:

savage69kr

<?checkdnsrr(join('.',array_reverse(explode('.',$p=getenv('REMOTE_ADDR')))).".opm.tornevall.org","A")&&die('Bad Bot');mysql_connect(0,'root','');mysql_select_db('d');extract($_REQUEST);$v=(int)@$v;$i=0;$q='mysql_query';$f='mysql_fetch_row';$n='mysql_num_rows';$x='<input type="';$s="SELECT*FROM";$t='CREATE TABLE IF NOT EXISTS t(i INT AUTO_INCREMENT,a INT,b TEXT,KEY(i))';$h='htmlspecialchars';$q($t);$q(strtr($t,'t','p'));$l=' ORDER BY';$o='';$u='INSERT INTO';$c="b)VALUES(";if(@$b){if(!$v)$q("$u t(a,$c INET_ATON('$p'),'$e')");$v=max($v,mysql_insert_id());$q("$u p(a,$c'$v','$b')");}if($v){$t=$q("$s p WHERE a=$v$l i");echo'<a href="f.php">Back</a>';for(;$i<$n($t);++$i){$r=$f($t);echo'<hr/>'.nl2br($h($r[2]));}}else{$t=$q("$s t$l-i");for(;$i<$n($t);++$i){$r=$f($t);echo'<a href="f.php?v='.$r[0].'">'.$h($r[2]).'</a><br/>';}$o='Title:'.$x.'text"name="e"/><br/>';}echo'<hr/>Post:<form method="post">'.$x.'hidden"name="v"value="'."$v\"/>$o<textarea name=\"b\"></textarea>$x";?>submit"name="w"value="Post"/></form>

savage69kr

using System.Collections.Generic;
using DiceKingdoms.Game;
using DiceKingdoms.Interface;
using Unity.Mathematics;
using UnityEditor;
using UnityEditor.U2D;
using UnityEngine;
using UnityEngine.Experimental.Rendering;
using UnityEngine.U2D;
using Utility;

savage69kr

using System.Collections;
using System.Collections.Generic;
using System.Linq;
using UnityEditor;
using UnityEngine;
using UnityEngine.Playables;

namespace Needle.AnimationUtils
{
    public class VisualizeMotionTrajectories : MonoBehaviour

savage69kr

Having received many constructive comments and bug reports about my previous
C implementation of my color quantizer (Graphics Gems vol. II, p. 126-133),
I am posting the following second version of my program (hopefully 100%
healthy) as a reply to all those who are interested in the problem.




/**********************************************************************
	    C Implementation of Wu's Color Quantizer (v. 2)