jwalsh

var docs = [
  '', // index 0
  'version', // index 1
  '', // index 2
  '', // index 3
  '', // index 4
  '', // index 5
  '', // index 6
  '', // index 7
  '', // index 8

jwalsh

$('#rsvp-list > li h5 > a')
  .bind(
    'click', 
    function() {
      var name = $(this).text(); 
      window.open('http://www.linkedin.com/vsearch/f?keywords=' +
                  encodeURIComponent(name)); 
      return false;
    });

jwalsh

#!/bin/sh 
# Summarize the options for normalizing some of the URLs without using
# machine learning 

# Options
DELIMITER=';'
LIMIT=15

# Output 
# Check this with and without a normalizer and an encoder to ensure

jwalsh

#!/bin/sh 
# Summarize the options for normalizing some of the URLs without using
# machine learning 

# Options
DELIMITER=';'
LIMIT=15

# Output 
# Check this with and without a normalizer and an encoder to ensure

jwalsh

blockingQueue = function(config) {

  // Don't require the use of a new keyword
  if (!this instanceof blockingQueue) {
    return new blockingQueue(config);
  }

  // Assume that this is attached to a UI activity so time out after 300ms
  var timeout = config && config.timeout ? config.timeout : 300;

jwalsh

window.bkmt = [ navigator.userAgent,
                '',
                navigator.language,
                document.defaultCharset,
                (new Date()).getTime(),
                screen.width,
                screen.height,
                screen.colorDepth,
                (new Date()).getTimezoneOffset(),
                (new Date()).toLocaleString(),

jwalsh

window.bkmt = [ navigator.userAgent,
                '',
                navigator.language,
                document.defaultCharset,
                (new Date()).getTime(),
                screen.width,
                screen.height,
                screen.colorDepth,
                (new Date()).getTimezoneOffset(),
                (new Date()).toLocaleString(),

jwalsh

import csv
import md5
from collections import Counter

def process_file(f, l = None):
    r = csv.reader(open(f), delimiter='\t')
    i = 0
    for p, uas in r:
        f, s = uas.split('|', 1)
        yield (md5.new(f).hexdigest(), md5.new(s).hexdigest())

jwalsh

#!/bin/sh


MATCHES=/tmp/ua-defrag/matches
TOP=/tmp/ua-defrag/matches.top


echo ' graph graphname {'; 

for U in `cat $MATCHES | tr ' ' '\n' | sort  | uniq -c  | sort -rn  | head -n 10 | awk '{print $2}'`

jwalsh

int main()
{ 
     int a, b;
     a = 10; 
     b = a / 2; 
     printf("%d\n", b);
}