Alex Hall earthbound19

PCG

This is a PRNG, built on Jacob Rus' implementation and modified slightly for a user-friendly API.

See here for source: https://observablehq.com/@jrus/permuted-congruential-generator

Usage

Note: this content is reposted from my old Google Plus blog, which disappeared when Google took Plus down. It was originally published on 2016-05-18. My views and the way I express them may have evolved in the meantime. If you like this gist, though, take a look at Leprechauns of Software Engineering. (I have edited minor parts of this post for accuracy after having a few mistakes pointed out in the comments.)

Degrees of intellectual dishonesty

In the previous post, I said something along the lines of wanting to crawl into a hole when I encounter bullshit masquerading as empirical support for a claim, such as "defects cost more to fix the later you fix them".

It's a fair question to wonder why I should feel shame for my profession. It's a fair question who I feel ashamed for. So let's drill a little deeper, and dig into cases.

Before we do that, a disclaimer: I am not in the habit of judging people. In what follows, I only mean to condemn behaviours. Also, I gath

So if you have ever written in a ECMAScript language (JavaScript/TypeScript/...) you know that the autocomplete on the import is crap. Since you first say what you want and then say where from so the autocomplete has no idea what is available:

Visual Studio Code lets you define where in the snippets you want to fill step by step and that became a really good way to fix the problem. With the imp snippet you can do:

	Archive of the code for images posted to https://twitter.com/tweegeemee

	Started October 19, 2019

	:clisk-random-seed 191019

	Learn more at https://github.com/rogerallen/tweegeemee

	<!DOCTYPE html>
	<html lang="en">
	<head>
	<script>
	// Generates a random hash and token id each time you reload, in the following format
	//let tokenData = {"hash":"0xd9134c11cd5ed9798ea0811364d63bd850c69c5d13383c9983ade39847e9ea86","tokenId":"99000000"};

	function genTokenData(projectNum)
	{
	let data = {};

	import torch
	import numpy as np
	import k_diffusion as K

	from PIL import Image
	from torch import autocast
	from einops import rearrange, repeat

	def pil_img_to_torch(pil_img, half=False):
	image = np.array(pil_img).astype(np.float32) / 255.0

	/**
	* General-purpose NodeJS CLI/API wrapping the Stable-Diffusion python scripts.
	*
	* Note that this uses an older fork of stable-diffusion
	* with the 'txt2img.py' script, and that script was modified to
	* support the --outfile command.
	*/

	var { spawn, exec } = require("child_process");
	var path = require("path");

	import inspect
	from modules.processing import Processed, process_images
	import gradio as gr
	import modules.scripts as scripts
	import k_diffusion.sampling
	import torch


	class Script(scripts.Script):