wowo

<?php

require_once(__DIR__ . "/../../../../app/AppKernel.php");

class BaseTestCase extends \PHPUnit_Framework_TestCase
{
  protected $_container;

  public function __construct()
  {

justfalter

SUMMARY
I like to use kcachegrind for doing profiling on my ruby code. Most of my development
is done on OSX, and while you can install kcachegrind via macports, it takes forever
because it has to build KDE, as well. Much to my surprise, the fine folks who 
wrote kcachegrind also made a QT version, qcachegrind. I was able to build this on
OSX without too much effort, only having to install QT and GraphViz. Yippie!

I'm running OSX 10.6.7, with Xcode 4. My default gcc/g++ version is 4.2. I'm sure
it will build just fine on earlier versions of Xcode, but I haven't tested it.

renoirb

<?php

namespace Renoir\AggregationBundle;

/**
 * Abstract client to use for each Client
 * 
 * Example location:  src/Renoir/AggregationBundle/AbstractClient.php
 **/

sublee

# -*- coding: utf-8 -*-
import time

import msgpack

from person_pb2 import Person


TIMES = 100000

debasishg

General Background and Overview

1. 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.
2. Models and Issues in Data Stream Systems
3. 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
4. Approximate Frequency Counts over Data Streams by Gurmeet Singh Manku & Rajeev Motwani : One of the early papers on the subject.
5. [Methods for Finding Frequent Items in Data Streams](http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.187.9800&rep=rep1&t

RhetTbull

""" Use Apple's Vision Framework via PyObjC to detect text in images 

To use:

python3 -m pip install pyobjc-core pyobjc-framework-Quartz pyobjc-framework-Vision wurlitzer

"""

import pathlib