th0ma5w

import subprocess, sys
from datetime import datetime
from time import sleep

timestamp = lambda : datetime.now().isoformat()

# # pager_rtl.sh --
# rtl_fm -M fm -f 152.48M -r22050 -s88200 -g 42 -l 30 

rtl_fm = subprocess.Popen("./pager_rtl.sh",

th0ma5w

// Adds a menu option to refresh all options.

function onOpen() {
  var sheet = SpreadsheetApp.getActiveSpreadsheet();
  var entries = [{
    name : "Refresh",
    functionName : "refreshLastUpdate"
  }];
  sheet.addMenu("Refresh", entries);
};

th0ma5w

(defn edges [listing]
  (loop [accum (list (take 2 listing))
         queue (rest listing)]
    (if (> (count queue) 1)
      (recur
        (concat accum
                (list (take 2 queue)))
        (rest queue))
      accum)))

th0ma5w

#!/bin/bash
curl -d "{\"jsonrpc\": \"2.0\", \"method\": \"Player.Open\", \"params\":{\"item\": { \"file\" : \"plugin://plugin.video.youtube/?action=play_video&videoid=$@\" }}, \"id\" : 1}" http://xbmc:xbmc@192.168.1.10:8080/jsonrpc

# curl and everything after it should be on one line. change the port and host to your 
# liking and your username and password if you've changed it from the default

th0ma5w

!!ARBfp1.0
TEMP tex, temp;
TEX tex, fragment.texcoord[0], texture[0], RECT;
DP3 temp.r, tex, {0.01, 0.01, 0.01, 0};
DP3 temp.g, tex, {0.05, 0.05, 0.05, 0};
DP3 temp.b, tex, {0.04, 0.04, 0.04, 0};
MOV temp.a, tex.a;
MOV result.color, temp;
END

th0ma5w

;Python-like dir function for Kawa scheme objects (but not the global namespace)

(require 'list-lib)
(require <kawa.lib.srfi95>)

;retrieve class name as string
(define classname (lambda (x) (invoke x 'getName)))

;make a one-dimensional array into a list
(define tolist (lambda (l) (map l (iota l:length))))

th0ma5w

#!/usr/bin/python

# WARNING: If you want to use it, don't rely on it, and you'd have to edit it to get to work for you, wherever you are, if you're in the US.

from lxml import etree
from urllib2 import urlopen
from subprocess import Popen, PIPE

COUNTY="franklin"
#COUNTY="union"

th0ma5w

"""

Example of using the old BeautifulSoup API to extract content from downloaded html files into CSV... if you're doing this sort of thing today, I recommend using the newer lxml interface directly, but lxml also has a BeautifulSoup compatibility layer.

"""


import os

th0ma5w

"""
Creates a list of URLs to stdout based on repeating patterns found in the site, suitable for use with WGET or CURL.

"""

import datetime

scopes=[
	"aries",
	"taurus",

th0ma5w

import readline

def readBack(length=50):
	history_items=range(readline.get_current_history_length()+1)
	this_readback=history_items[-length:]
	for line in this_readback:
		print readline.get_history_item(line)