chuck-sys

#!/usr/bin/env python
# File: lightning_test.py
# Description: Using pygame to test lightning effects to
#              follow the mouse/cursor.
import pygame, sys, math, random
from pygame.locals import *

SIZE = (1000, 500)
HSIZE = [x/2 for x in SIZE]
MINDIST = 10                        # The minimum distance to stop

chuck-sys

#!/usr/bin/env python
# File: turret_test.py
# Description: Some turret testing for tower defense games

import pygame, sys, math
from pygame.locals import *

pygame.init()
surface = pygame.display.set_mode((500, 500))
pygame.display.set_caption('Turret Test')

chuck-sys

' FILE: MUSIC.BAS
CLS
SCREEN 13
PLAY "MB"
PLAY "T255" 'TEMPO: 255

MUSIC1$ = "O2 F8 F8 F+8 F8 G+8 G+8 F+8 F4 F8 F+8 F8 O3 C#8 C#8 O2 B8 A#8"
MUSIC2$ = "O2 F8 F8 F+8 F8 G+8 G+8 F+8 F4 F8 F+8 F8 O3 F8 F8 D#8 C#8"

' FLAG FOR WHICH STRING OF NOTES TO PLAY

chuck-sys

##################################################################################
# DESCRIPTION : This program parses pepcoil output so that the file can be 
#               opened into an Excel spreadsheet
#
# USAGE :  
#
# AUTHOR : Chris Hobbs
# DATE : December 28, 2013
#
####################################################################################          

chuck-sys

(ns human-readable)

(def quantities ["year" "day" "hour" "minute" "second"])

(defn quantisize [q n]
  (if (= n 1)
    [n q]
    [n (str q "s")]))

(defn inter-last [v]

chuck-sys

// ==UserScript==
// @name     Unforce Download
// @author   chucksys
// @namespace https://gist.github.com/cheukyin699/a1eee44f3b76e365b842665d0a93b232
// @version  1
// @include  https://learn.twu.ca/mod/assign/*
// ==/UserScript==

var links = document.getElementsByTagName("a");
for (let link of links) {

chuck-sys

#!/usr/bin/env bash
jarvis <<- EOF
$@
quit
EOF

chuck-sys

Tested with Python 3. Doesn't work with Python 2 unless you change some of the format specifiers.

This script outputs to standard output in TSV format, and thus can be easily imported into any spreadsheet program for easy data visualization. I import it into Google Sheets, and do stuff there.

Feel free to add more analysis things.

chuck-sys

Tested with Python 3.

BeautifulSoup is required to parse the HTML that the individual messages are in.

To use, first download a copy of your Facebook data. Then, run this script with the directory of all of your messages (usually something like /messages/). The analysis will come out through the standard output in CSV format, for easy importing into your favourite spreadsheet for analysis.

I would recommend adding separate columns after importing into your favourite spreadsheet for analysis. You may also (if you want to) train a neural network on the natural language (however basic and abbreviated).

chuck-sys

extern "C" {
#include <libavcodec/avcodec.h>
#include <libavformat/avformat.h>
#include <libswscale/swscale.h>
}

#include <cstdio>
#include <string>
#include <fstream>
#include <iostream>