moshekaplan

# CIDR to ipv4
# Written by Moshe Kaplan
def to_long(ip):
    ip = ip.split('.', 4)
    return int(ip[0])*(2**24) + int(ip[1])*(2**16) + int(ip[2])*(2**8) + int(ip[3])

def to_dotted_decimal(long_form):
    octets = []
    for i in range(4):
        octets += [str(long_form % 2**8)]

hhatto

from peewee import *
from models import News, database

compiler = database.get_compiler()
print(News.select().where(News.url == 'test').sql(compiler))

steveosoule

/*
  aprilFools.css
  Written by Wes Bos
  I assume no responsibility for angry co-workers or lost productivity 

  Put these CSS definitons into your co-workers Custom.css file.
  
  They will be applied to every website they visit as well as their developer tools.
  
*/

louisremi

// Cross browser, backward compatible solution
(function( window, Date ) {
// feature testing
var raf = window.mozRequestAnimationFrame    ||
          window.webkitRequestAnimationFrame ||
          window.msRequestAnimationFrame     ||
          window.oRequestAnimationFrame;

window.animLoop = function( render, element ) {
  var running, lastFrame = +new Date;

jennyknuth

How to transform an SVG into a data URI

by Jenny Knuth, based on the work of Chris Coyier and Taylor Hunt

A data URI is a nice way to include a web resource without needing to make an HTTP request. Chris Coyier explains the technique nicely in Probably Don't Base64 SVG.

While a PNG might use Base64 encoding, for SVG, there is a better way.

Taylor Hunt's experiments led to this solution for optimizing SVGs in data URIs:

"So the best way of encoding SVG in a data URI is data:image/svg+xml,[actual data]. We don’t need the ;charset=utf-8 parameter (or the invalid ;utf8 parameter…), because URLs are always ASCII."

domenic

Auto-deploying built products to gh-pages with GitHub Actions

This is a set up for projects which want to check in only their source files, but have their gh-pages branch automatically updated with some compiled output every time they push.

A file below this one contains the steps for doing this with Travis CI. However, these days I recommend GitHub Actions, for the following reasons:

• It is much easier and requires less steps, because you are already authenticated with GitHub, so you don't need to share secret keys across services like you do when coordinate Travis CI and GitHub.
• It is free, with no quotas.
• Anecdotally, builds are much faster with GitHub Actions than with Travis CI, especially in terms of time spent waiting for a builder.

andrewrk

import string
import random
vowels = "aoeuiy"
def m():
    c1 = vowels[random.randint(0,len(vowels)-1)]
    c2 = string.ascii_lowercase[random.randint(0,len(string.ascii_lowercase)-1)]
    c3 = string.ascii_lowercase[random.randint(0,len(string.ascii_lowercase)-1)]
    print('z' + c1 + c2 + c3)

m()

gre

/*
 * This work is free. You can redistribute it and/or modify it under the
 * terms of the Do What The Fuck You Want To Public License, Version 2,
 * as published by Sam Hocevar. See the COPYING file for more details.
 */
/*
 * Easing Functions - inspired from http://gizma.com/easing/
 * only considering the t value for the range [0, 1] => [0, 1]
 */
EasingFunctions = {