jboner

Latency Comparison Numbers (~2012)
----------------------------------
L1 cache reference                           0.5 ns
Branch mispredict                            5   ns
L2 cache reference                           7   ns                      14x L1 cache
Mutex lock/unlock                           25   ns
Main memory reference                      100   ns                      20x L2 cache, 200x L1 cache
Compress 1K bytes with Zippy             3,000   ns        3 us
Send 1K bytes over 1 Gbps network       10,000   ns       10 us
Read 4K randomly from SSD*             150,000   ns      150 us          ~1GB/sec SSD

mikesname

package enumtest


import play.api.libs.json._


object EnumUtils {
  def enumReads[E <: Enumeration](enum: E): Reads[E#Value] = new Reads[E#Value] {
    def reads(json: JsValue): JsResult[E#Value] = json match {
      case JsString(s) => {

seankross

# The Sieve of Eratosthenes

# Given a number greater than zero this function will return a list of primes between 2 and the number given as argument.
sieveOfEratosthenes <- function(num){
  values <- rep(TRUE, num)
	values[1] <- FALSE
	prev.prime <- 2
	for(i in prev.prime:sqrt(num)){
		values[seq.int(2 * prev.prime, num, prev.prime)] <- FALSE
		prev.prime <- prev.prime + min(which(values[(prev.prime + 1) : num]))

VladUreche

# Scaladoc Developer Guide
## Introduction
Scaladoc is the tool that enables developers to automatically generate documentation for their Scala (and Java) projects. It is Scala's equivalent of the widely-used Javadoc tool. This means that Javadoc (and even doxygen) users will be familiar with Scaladoc from day 1: for them, it is most beneficial to check out the Scaladoc/Javadoc comparison tables and if necessary, skim through this document to understand specific features. 

The rest of this tutorial is aimed at developers new to Scaladoc and other similar tools. It assumes a basic understanding of the Scala language, which is necessary to follow the examples given throughout the tutorial. For the user perspective on the Scaladoc-generated documentation, such as finding a class, understanding the page layout, navigating through diagrams, please refer to the Scaladoc User Guide.

The tutorial will start by a short motivation and then will explain the main concept in Scaladoc: the doc comment.

### Why document?

jboner

# How Akka maps to EAI Patterns

Might be up for debate or just plain wrong. Just some notes I scribbled down some time ago. 

-----------------------------------------------------------------------------------------------------------------
EAI PATTERN                     AKKA PATTERN                  REFERENCE
-----------------------------------------------------------------------------------------------------------------
Point to Point Channel          Regular Actor Communication   http://www.eaipatterns.com/PointToPointChannel.html
Event-Driven Consumer           Regular Actor Receive         http://www.eaipatterns.com/EventDrivenConsumer.html
Message Selector                Actor with Stash              http://www.eaipatterns.com/MessageSelector.html

wdullaer

#!/bin/sh
# Cleanup docker files: untagged containers and images.
#
# Use `docker-cleanup -n` for a dry run to see what would be deleted.

untagged_containers() {
    # Print containers using untagged images: $1 is used with awk's print: 0=line, 1=column 1.
    # NOTE: "[0-9a-f]{12}" does not work with GNU Awk 3.1.7 (RHEL6).
    # Ref: https://github.com/blueyed/dotfiles/commit/a14f0b4b#commitcomment-6736470
    docker ps -a | tail -n +2 | awk '$2 ~ "^[0-9a-f]+$" {print $'$1'}'

stewSquared

/**
  * The following is an implementation of Combinatory Logic as a scala DSL. It
  * is evaluated using head-first graph reduction, as described in "Compiling
  * Functional Languages" by Antoni Diller. This particular gist is adapted from
  * https://github.com/drivergroup/spn-combinatory-logic which I wrote for Scala
  * Puzzle Night, a meetup that I run occasionally. See the README.md in that
  * project for more information.
  *
  * The interesting bits of this are eval, reduce, and extract. The second half
  * of this file is a demonstration. It's written so as to be easy to `:paste`

rtgibbons

#! /bin/bash
### BEGIN INIT INFO
# Provides:          openconnect
# Required-Start:    $local_fs $remote_fs $network
# Required-Stop:     $local_fs $remote_fs $network
# Default-Start:     2 3 4 5
# Default-Stop:      0 1 6
# Short-Description: Basic script to connect to a SSL VPN using Openconnect
### END INIT INFO

thomasdarimont

Setup

Add this to your .profile, .bashrc, .zshrc...

decode_base64_url() {
  local len=$((${#1} % 4))
  local result="$1"
  if [ $len -eq 2 ]; then result="$1"'=='
  elif [ $len -eq 3 ]; then result="$1"'=' 
  fi
 echo "$result" | tr '_-' '/+' | openssl enc -d -base64

idkw

swagger: '2.0'
info:
  version: "1.0.0"
  title: GeoJSON geometry
  description: An example of swagger file for a geographic API. It contains the geometry definitions
  termsOfService: "no"
  contact: 
    name:  Daniele Andreis
    email: daniele.andreis@gmail.com
    url: ""