hellerbarde

Latency numbers every programmer should know

L1 cache reference ......................... 0.5 ns
Branch mispredict ............................ 5 ns
L2 cache reference ........................... 7 ns
Mutex lock/unlock ........................... 25 ns
Main memory reference ...................... 100 ns             
Compress 1K bytes with Zippy ............. 3,000 ns  =   3 µs
Send 2K bytes over 1 Gbps network ....... 20,000 ns  =  20 µs
SSD random read ........................ 150,000 ns  = 150 µs

Read 1 MB sequentially from memory ..... 250,000 ns = 250 µs

johntyree

#!/usr/bin/env sh

# Download lists, unpack and filter, write to stdout
curl -s https://www.iblocklist.com/lists.php \
  | sed -n "s/.*value='\(http:.*=bt_.*\)'.*/\1/p" \
  | xargs wget -O - \
  | gunzip \
  | egrep -v '^#'

chilts

var request = require('request');
var unzip   = require('unzip');
var csv2    = require('csv2');

request.get('http://s3.amazonaws.com/alexa-static/top-1m.csv.zip')
    .pipe(unzip.Parse())
    .on('entry', function (entry) {
        entry.pipe(csv2()).on('data', console.log);
    })
;

John07

ffmpeg -re -i http://url.com/playlist.m3u8 -c copy -bsf:a aac_adtstoasc output.mp4

karpathy

"""
Minimal character-level Vanilla RNN model. Written by Andrej Karpathy (@karpathy)
BSD License
"""
import numpy as np

# data I/O
data = open('input.txt', 'r').read() # should be simple plain text file
chars = list(set(data))
data_size, vocab_size = len(data), len(chars)

chenshuo

#pragma once

#include <stdint.h>
#include <stdlib.h>
#include <string.h>

#include <type_traits>

typedef uint32_t khint_t;
typedef khint_t khiter_t;

epixoip

Nvidia GTX 1080 Hashcat Benchmarks

Product: Sagitta Invictus (PN S2440X-GTX-1080)

Software: Hashcat 3.00-beta-116-g9a54829, Nvidia driver 367.18

Accelerator: 1x Nvidia GTX 1080 Founders Edition

Highlights

joepie91

'use strict';

const parseExpression = require("./parse-expression");

function findAll(regex, target) {
	let results = [], match;
	
	while (match = regex.exec(target)) {
		results.push(match);
	}

teknoraver

package main

import (
	"context"
	"flag"
	"fmt"
	"io"
	"net"
	"net/http"
	"os"

teknikqa

// On the Last.FM website go to the page which lists the tracks that you have loved.
// Open Chrome DevTools (or Firefox or any modern browser that has a built in Javacript Console)
// and run the following command.
// This basically clicks on all the delete buttons on the page and reloads the page.
jQuery('.love-button--loved').each(function(_, b) {
  b.click();
});
location.reload();