michaelhood

#!/bin/sh

DIRECTORY='~/Library/Application Support/Google/Chrome/'

TMPFILE=`mktemp /tmp/chrome_cleanup.XXXXXX`
find "$DIRECTORY" >> $TMPFILE

SQLITE_FILES=`mktemp /tmp/chrome_cleanup.XXXXXX`

SAVEIFS=$IFS

michaelhood

#!/bin/sh
OSX_VERS=$(sw_vers -productVersion | awk -F "." '{print $2}')

# Get Xcode CLI tools
# https://devimages.apple.com.edgekey.net/downloads/xcode/simulators/index-3905972D-B609-49CE-8D06-51ADC78E07BC.dvtdownloadableindex
# https://developer.apple.com/downloads/index.action
TOOLS=clitools.dmg
if [ ! -f "$TOOLS" ]; then
  if [ "$OSX_VERS" -eq 7 ]; then
	  DMGURL=http://devimages.apple.com/downloads/xcode/command_line_tools_for_xcode_os_x_lion_april_2013.dmg

michaelhood

package main

// This is a basic example of running an nsqd instance embedded. It creates
// and runs an nsqd with all of the default options, and then produces
// and consumes a single message. You are probably better off running a
// standalone instance, but embedding it can simplify deployment and is
// useful in testing.

// See https://github.com/nsqio/nsq/blob/master/nsqd/options.go and
// https://github.com/nsqio/nsq/blob/master/apps/nsqd/nsqd.go for

michaelhood

#!/usr/bin/env bash
set -u

# Downloads Oracle JDK tarball and makes fancy debs out of it.
# Output is full of warnings, but the packages work. ;)
# Example URL='http://download.oracle.com/otn-pub/java/jdk/8u45-b14/jdk-8u45-linux-x64.tar.gz'

MAJOR=8
MINOR=45
BUILD=14

michaelhood

1. General Background and Overview

• Probabilistic Data Structures for Web Analytics and Data Mining : A great overview of the space of probabilistic data structures and how they are used in approximation algorithm implementation.
• Models and Issues in Data Stream Systems
• Philippe Flajolet’s contribution to streaming algorithms : A presentation by Jérémie Lumbroso that visits some of the hostorical perspectives and how it all began with Flajolet
• Approximate Frequency Counts over Data Streams by Gurmeet Singh Manku & Rajeev Motwani : One of the early papers on the subject.
• [Methods for Finding Frequent Items in Data Streams](http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.187.9800&rep

michaelhood

'''pass_socket.py

Written September 14, 2012

Released into the public domain.

Works on Python 2.6, 2.7, and may need minor changes for 3+.
'''

import multiprocessing

michaelhood

#!/usr/bin/env python

"""
@author Sunil Mallya
Sample code to show a parent - child like process communication model where parent listens on a port and passes the pickled file descriptor
to the child process to read the bytes off the socket. The communication in this snippet is via a Queue which is thread/process safe
Just to be clear, the parent process is still accepting the connection and we are sending a live fd to the child
"""
import os
import sys

michaelhood

user www-data;
worker_processes 1;
pid /var/run/nginx.pid;

events {
    worker_connections 1024;
}

http {
    sendfile on;

michaelhood

var page = new WebPage(),
    address, output, size;
    
//capture and captureSelector functions adapted from CasperJS - https://github.com/n1k0/casperjs
capture = function(targetFile, clipRect) {
    var previousClipRect;
    var clipRect = {top: 0, left:0, width: 40, height: 40};
    if (clipRect) {
        if (!isType(clipRect, "object")) {
            throw new Error("clipRect must be an Object instance.");

michaelhood

#
# Wide-open CORS config for nginx
#
location / {

     if ($request_method = 'OPTIONS') {

        add_header 'Access-Control-Allow-Origin' '*';
        
        #