dlebech

'use strict';

class MyError extends Error {}

class MyVerboseError extends Error {
  constructor(message) {
    super(message);
    this.name = this.constructor.name; // ! important
    this.message = message;
    Error.captureStackTrace(this, this.name);

dlebech

'use strict';

const By = require('selenium-webdriver').By,
  until = require('selenium-webdriver').until,
  firefox = require('selenium-webdriver/firefox'),
  test = require('selenium-webdriver/testing'),
  utils = require('../utils'),
  server = require('../server');

describe('register', function() {

dlebech

# One-liner for creating a certificate on a webserver.
# Install the letsencrypt github repo and then
./letsencrypt-auto certonly --webroot -w /var/www/websitename/or/whatever -d domain.com

dlebech

This is a copy of a support chat between Intercom and myself. It's referred to from a blog post I wrote here.

David:

Hello there

I wanted to make a report of what I believe to be a security hole in your app.

I recently had a support chat session with a service I use while being logged-in.

dlebech

# Convert a unix timestamp in millisconds in a column of a CSV to a date 
cat thefile.csv | perl -MPOSIX -pe 's/(^\d+),/strftime("%F,", localtime($1\/1000))/ge'

dlebech

package services

import (
	"os"
	"time"

	log "github.com/Sirupsen/logrus"
	"github.com/garyburd/redigo/redis"
)

dlebech

#!/bin/env python
import difflib
import random
import string
import time

repetitions = 100000

# Pre-generate strings between 5 and 30 characters in length.
strings = [''.join(random.choice(string.ascii_uppercase + string.digits) for x in range(random.randint(10,30))) for i in range(repetitions*2)]

dlebech

# Public Domain CC0 license. https://creativecommons.org/publicdomain/zero/1.0/
# Create a Keras embedding layer with an initial one-hot encoding by using identity initializer
import tensorflow as tf
import numpy as np

# Input sequence consisting of four features (e.g. words)
# Let's pretend this is "hello world hello everyone else"
# Where hello is then mapped to 1, world = 0, everyone = 2, else = 3, 
a = np.array([[1, 0, 1, 2, 3]])

dlebech

# Public Domain CC0 license. https://creativecommons.org/publicdomain/zero/1.0/

# Run this file first, e.g.:
# $ scrapy runspider ft_extract.py -o members.json
#
# It will probably stop working if they change their urls for the contact list of course.
# Worked in Spring of 2019
import scrapy
import re
from urllib.parse import urlparse, urlunparse

dlebech

# Matplotlib

# Creating a list of colors (e.g. for a bar chart)
# "Blues" is the colormap. It can be any colormap
# https://matplotlib.org/examples/color/colormaps_reference.html
colors = [matplotlib.colors.to_hex(c) for c in plt.cm.Blues(np.linspace(0, 1, len(some_dataframe.index)))]

# Globally adjusting DPI and figure size
matplotlib.rcParams['figure.dpi'] = 100
matplotlib.rcParams['figure.figsize'] = [6.0, 4.0]