AtlasPilotPuppy

import org.apache.spark.rdd.NewHadoopRDD
import org.apache.hadoop.hbase.mapreduce.TableInputFormat
import org.apache.hadoop.hbase.HBaseConfiguration
import org.apache.hadoop.hbase.client.Result
import org.apache.hadoop.hbase.io.ImmutableBytesWritable
import scala.collection.JavaConversions._
import scala.collection.JavaConverters._
import org.apache.spark.mllib.recommendation.ALS
import org.apache.spark.mllib.recommendation.Rating
import scala.collection.mutable.ArrayBuffer

groundwater

package ca.underflow.hbase

import org.hbase.async._
import com.stumbleupon.async._

object Demo extends App {

    // This let's us pass inline functions to the deferred
    // object returned by most asynchbase methods

seperman

; IMPORTANT INFO ABOUT GETTING STARTED: Lines that start with a
; semicolon, such as this one, are comments.  They are not executed.

; This script has a special filename and path because it is automatically
; launched when you run the program directly.  Also, any text file whose
; name ends in .ahk is associated with the program, which means that it
; can be launched simply by double-clicking it.  You can have as many .ahk
; files as you want, located in any folder.  You can also run more than
; one .ahk file simultaneously and each will get its own tray icon.

jgarzik

/*
Compile on Fedora 16 Linux:
g++ -O2 -Wall -g -o boostgz boostgz.cc -lboost_iostreams-mt
  */

#include <stdio.h>
#include <stdlib.h>
#include <string.h>
#include <fstream>
#include <iostream>

copperlight

# ... more above ...

# wsfl bash is not a login shell
if [ -d "$HOME/bin" ] ; then
    PATH="$HOME/bin:$PATH"
fi

# ssh-agent configuration
if [ -z "$(pgrep ssh-agent)" ]; then
    rm -rf /tmp/ssh-*

tshort

This is code to convert a string to a type based on discussions here:

https://groups.google.com/d/msg/julia-dev/q9lG55PMdlc/C3IRKbKXcpoJ

type UnsupportedType
end

is_valid_type_ex(s::Symbol) = true
is_valid_type_ex(x::Int) = true

claws

'''
An authentication module for pyzmq modelled on zauth from czmq.

The functions to read and generate certificates should be interoperable
with czmq's zcert's - though are not as fully featured.
'''

import datetime
import glob
import json

beugley

Run time performance of your SAS process can be greatly improved with parallel execution.
This gist describes an approach where your input data set(s) are divided into N equal-sized subsets and your code is
executed in parallel against each subset.  For information on other methods of parallel processing, please see this page
from SAS Support: http://support.sas.com/rnd/scalability/tricks/connect.html


Step 1
Divide your input data set(s) into N subsets that are approximately equal in size.  The following macro shows one way to
do this.
  %macro DIVIDE_INPUT_DATA(N);

xgdgsc

#!/usr/bin/env python
# -*- coding: UTF-8 -*-
# file: unzip.py
import zipfile,os,sys

if len(sys.argv)==2:
   fname=sys.argv[1]
else:
   print "Usage: python %s filename\n\n" % sys.argv[0]
   sys.exit()

senko

#!/bin/bash
#
# Watch current directory (recursively) for file changes, and execute
# a command when a file or directory is created, modified or deleted.
#
# Written by: Senko Rasic <senko.rasic@dobarkod.hr>
#
# Requires Linux, bash and inotifywait (from inotify-tools package).
#
# To avoid executing the command multiple times when a sequence of