davehughes

import re
import socket

from dns.resolver import NoAnswer, Resolver


def make_resolver(ip_or_domain):
    if re.match(r"\d+\.\d+\.\d+\.\d+", ip_or_domain):
        ns_ip = ip_or_domain
    else:

davehughes

# Working with low-level git primitives is done through these client method groupings:
# https://octokit.github.io/octokit.rb/Octokit/Client/Objects.html
# https://octokit.github.io/octokit.rb/Octokit/Client/Commits.html
# https://octokit.github.io/octokit.rb/Octokit/Client/Refs.html
#
# The 'contents' endpoints provide a slightly higher-level interface that may be appropriate
# for some things.
# https://octokit.github.io/octokit.rb/Octokit/Client/Contents.html
def push_github_edit

davehughes

WITH
  -- create initial data
  seq0 AS (
    SELECT 1
    UNION ALL
    SELECT 2
    UNION ALL
    SELECT 3
    UNION ALL
    SELECT 4

davehughes

#!/bin/bash

MINION_NAME=${minion_name}
MASTER_HOST=${master_host}

# -----------------------------------------------------------------------------
# Set hostname matching minion name by updating /etc/hostname and /etc/hosts
# -----------------------------------------------------------------------------
hostnamectl set-hostname $MINION_NAME

davehughes

import math

import numpy as np
import matplotlib.pyplot as plt


# Points
def plot_points(subplot, points, fx=lambda x: x):
    xs = points
    ys = map(fx, xs)

davehughes

module _

fn square(x any T) any T {
  return x * x
}

fn apply(f (fn(y any T) any T), x any T) any T {
  return f(x)
}

davehughes

'''
Flattens a 'JSON' object (really, a simple potentially nested object
composed of dicts, lists, and scalars) into a list of key-value pairs.

Example usage (from http://json.org/example.html):

  > import json
  > flatten_json(json.loads(SAMPLE_JSON))

  [(u'glossary.GlossDiv.GlossList.GlossEntry.GlossDef.GlossSeeAlso.0', u'GML'),

davehughes

This is a description of a scheme I've used a few times for representing time series data on a fairly small scale. In a nutshell, it uses a single table to house multiple data series on multiple scales and is designed to make it easy to display those series.

Sample Data:

series	timescale	timestamp	value
active-users	weekly	2016-03-05	487
active-users	daily	2016-03-05	75
active-users	daily	2016-03-06	43

davehughes

'''
Based on https://gist.github.com/DonnchaC/d6428881f451097f329e, including
a very helpful comment attached to that gist.
'''

import base64
import hashlib
import os

from Crypto.PublicKey import RSA

davehughes

nginx:
  pkg.installed: []
  service.running:
  - reload: true

# SSL setup via letsencrypt, based on the following article:
# https://www.digitalocean.com/community/tutorials/how-to-secure-nginx-with-let-s-encrypt-on-ubuntu-16-04
letsencrypt:
  pkg.installed: []