vinceau

const slp = require('slp-parser-js');
const SlippiGame = slp.default;
const path = require('path');
const fs = require('fs');
const _ = require('lodash');
const cliProgress = require("cli-progress");

const inputFolder = "./Slippi";
const outputFolder = "./sorted";

vinceau

import json
import sys
import xml.etree.ElementTree as ET

def parseXML(xmlFile):
    tree = ET.parse(xmlFile)
    root = tree.getroot()

    # create empty dictionary where we will save data
    data = {}

vinceau

/**
This script demonstrates using a Slippi files as a fake live Slippi stream. 
*/

var tailstream = require('tailstream');
const { SlippiRealtime, SlpStream } = require("@vinceau/slp-realtime");

const path = require('path');
const chokidar = require("chokidar");
const fs = require('fs');

vinceau

#!/usr/bin/env bash

# Usage:
# ./ipns_publish.sh keyname some_file.txt

LIFETIME="2160h"

# Check valid number of arguments
if [ "$#" -ne 2 ]; then
	echo "Invalid arguments. Expected 2, got $#"

vinceau

const fs = require('fs');
const _ = require('lodash');
const path = require('path');
const { default: SlippiGame } = require('slp-parser-js'); // npm install slp-parser-js

const basePath = path.join(__dirname, 'slp/'); // this var is "<directory your script is in>/slp"

const dolphin = {
  "mode": "queue",
  "replay": "",

vinceau

#!/bin/bash

if [ $EUID != 0 ]; then
    sudo "$0" "$@"
    exit $?
fi

date 0102030405

open /Applications/Sketch.app

vinceau

export const DisplayFormikState = (props: any) =>
    <div style={{ margin: "1rem 0" }}>
        <h3 style={{ fontFamily: "monospace" }} />
        <pre
            style={{
                background: "#f6f8fa",
                fontSize: ".65rem",
                padding: ".5rem",
            }}
        >

vinceau

// ==UserScript==
// @name            Twitter Analytics
// @description     Adds links to actual tweets on twitter analytics
// @version         0.2
// @author          Vincent Au
// @namespace       vince.id.au
// @include         *analytics.twitter.com/user/*
// ==/UserScript==

// Last edited 9 November 2017

vinceau

/*

Build a concurrent sorting algorithm in Go using channels

Sorting algorithms are well understood, and sequential implementations are simple to build. For each of your favourite sorting algorithms, build concurrent versions that utilize channels for communicating between Goroutines. Experiment with a pipelining approach, where the sorting is split into stages and each stage is handled by a Goroutine, and fork/join approach, where data to be sorted is split into smaller subsets and a Goroutine is created for each subset.

*/

package main

vinceau

{
  "title": "Modified Numeric Keypad",
  "rules": [
    {
      "description": "Modified Numeric Keypad Mode [Tab as trigger key]",
      "manipulators": [
        {
          "type": "basic",
          "from": {
            "key_code": "tab"