DavidKuennen

(function (context, trackingId, options) {
    const history = context.history;
    const doc = document;
    const nav = navigator || {};
    const storage = localStorage;
    const encode = encodeURIComponent;
    const pushState = history.pushState;
    const typeException = 'exception';
    const generateId = () => Math.random().toString(36);
    const getId = () => {

enricofoltran

package main

import (
	"context"
	"flag"
	"fmt"
	"log"
	"net/http"
	"os"
	"os/signal"

alexellis

This guide has moved to a GitHub repository to enable collaboration and community input via pull-requests.

https://github.com/alexellis/k8s-on-raspbian

Alex

bit-hack

// non-recursive version of algorythm presented here:
// http://ruslanledesma.com/2016/06/17/why-does-heap-work.html

#include <algorithm>
#include <array>
#include <stddef.h>
#include <stdio.h>
#include <vector>

template <typename type_t>

rverton

/*
* (un)comment correct payload first (x86 or x64)!
* 
* $ gcc cowroot.c -o cowroot -pthread
* $ ./cowroot
* DirtyCow root privilege escalation
* Backing up /usr/bin/passwd.. to /tmp/bak
* Size of binary: 57048
* Racing, this may take a while..
* /usr/bin/passwd overwritten

rakyll

// Copyright 2016 Google Inc. All rights reserved.
// Use of this source code is governed by the Apache 2.0
// license that can be found in the LICENSE file.

// Command caption reads an audio file and outputs the transcript for it.
package main

import (
	"fmt"
	"io"

JonCole

Contents Moved

The contents of this article have moved to a new, happier home https://aka.ms/Redis/DataLoss

yrevar

{0: 'tench, Tinca tinca',
 1: 'goldfish, Carassius auratus',
 2: 'great white shark, white shark, man-eater, man-eating shark, Carcharodon carcharias',
 3: 'tiger shark, Galeocerdo cuvieri',
 4: 'hammerhead, hammerhead shark',
 5: 'electric ray, crampfish, numbfish, torpedo',
 6: 'stingray',
 7: 'cock',
 8: 'hen',
 9: 'ostrich, Struthio camelus',

vishalkuo

import numpy as np

def removeOutliers(x, outlierConstant):
    a = np.array(x)
    upper_quartile = np.percentile(a, 75)
    lower_quartile = np.percentile(a, 25)
    IQR = (upper_quartile - lower_quartile) * outlierConstant
    quartileSet = (lower_quartile - IQR, upper_quartile + IQR)
    resultList = []
    for y in a.tolist():

stevenswafford

"          _                      _          "
"   _     /||       .   .        ||\     _   "
"  ( }    \||D    '   '     '   C||/    { %  "
" | /\__,=_[_]   '  .   . '       [_]_=,__/\ |"
" |_\_  |----|                    |----|  _/_|"
" |  |/ |    |                    |    | \|  |"
" |  /_ |    |                    |    | _\  |"

	It is all fun and games until someone gets hacked!