renesugar

#!/usr/bin/python3
# By Steve Hanov, 2011. Released to the public domain.
# Please see http://stevehanov.ca/blog/index.php?id=115 for the accompanying article.
#
# Based on Daciuk, Jan, et al. "Incremental construction of minimal acyclic finite-state automata." 
# Computational linguistics 26.1 (2000): 3-16.
#
# Updated 2014 to use DAWG as a mapping; see 
# Kowaltowski, T.; CL. Lucchesi (1993), "Applications of finite automata representing large vocabularies", 
# Software-Practice and Experience 1993

renesugar

/**
 * Created by Barrett Sonntag barretts@github on 3/2/2015.
 * http://www.sosuke.com/writing-custom-extensions-for-the-remarkable-javascript-markdown-parser
 * 
 * A plugin tutorial for Remarkable https://github.com/jonschlinkert/remarkable
 */

var markdownParser = new Remarkable();

// open links in new windows

renesugar

Markdown and reStructuredText

GitHub supports several lightweight markup languages for documentation; the most popular ones (generally, not just at GitHub) are Markdown and reStructuredText. Markdown is sometimes considered easier to use, and is often preferred when the purpose is simply to generate HTML. On the other hand, reStructuredText is more extensible and powerful, with native support (not just embedded HTML) for tables, as well as things like automatic generation of tables of contents.

renesugar

let recordedChanges = []
let startRecordingSVG = () => { recordedChanges = [] }
let stopRecordingSVG = () => { console.log(JSON.stringify(recordedChanges)) }

let observer = new MutationObserver(mutationRecords => {
    for(const record of mutationRecords) {
        if(record.attributeName === 'd') {
            recordedChanges.push(record.target.getAttribute('d'))
        }
    }

renesugar

[zack@leto ~]$ sudo tee << EOF /etc/wpa_supplicant.conf > /dev/null
ctrl_interface=/run/wpa_supplicant
EOF
[zack@leto ~]$ sudo wpa_supplicant -iwlp1s0 -Dnl80211 -c/etc/wpa_supplicant.conf -B
Successfully initialized wpa_supplicant
[zack@leto ~]$ sudo wpa_cli
wpa_cli v2.0
Copyright (c) 2004-2012, Jouni Malinen <[email protected]> and contributors

This software may be distributed under the terms of the BSD license.

renesugar

Install Arch Linux on Mac mini

We will be creating dual boot for OS X and Linux with no special boot loader. For other setup, refer to [1]. We will keep all data on an external hard drive, so we do not need huge amount of space for the linux system. We will install from an USB thumb drive (will need at least 1GB in size), newer Minis do not have CD roms.

Prepare the disk in Mac OS X (El Capitan)

renesugar

import tensorflow as tf #We need tensorflow 2.x
import numpy as np

#The hashlength in bits
hashLength = 256

def buildModel():
    #we can set the seed to simulate the fact that this network is known and doesn't change between runs
    #tf.random.set_seed(42)
    model = tf.keras.Sequential()

renesugar

if(typeof(ArrayBuffer.prototype.transfer) === "undefined") {
	ArrayBuffer.prototype.transfer = function transfer(old) {
		var dva, dvb, i, mod;
		dva = new DataView(this);
		dvb = new DataView(old);
		mod = this.byteLength%8+1;
		for(i = 0; i <= old.byteLength-mod; i+=8) dva.setFloat64(i, dvb.getFloat64(i));
		mod = this.byteLength%4+1;
		if(i < old.byteLength-mod) {
			dva.setUint32(i, dvb.getUint32(i));

renesugar

function memcpy (src, srcOffset, dst, dstOffset, length) {
	var i

	src = src.subarray || src.slice ? src : src.buffer
	dst = dst.subarray || dst.slice ? dst : dst.buffer

	src = srcOffset ? src.subarray ?
		src.subarray(srcOffset, length && srcOffset + length) :
		src.slice(srcOffset, length && srcOffset + length) : src

renesugar

// This is free and unencumbered software released into the public domain.

// Marshals a string to an Uint8Array.
function encodeUTF8(s) {
	var i = 0, bytes = new Uint8Array(s.length * 4);
	for (var ci = 0; ci != s.length; ci++) {
		var c = s.charCodeAt(ci);
		if (c < 128) {
			bytes[i++] = c;
			continue;