samuel stavxyz

The Ultimate Unit Testing Cheat-sheet

Sinon Chai
Chai
Sinon

To take any bunch of printed columns from stdout and turn them into lists of dictionaries...

def parse_block(block, headers=True, delimiter=None):
    """Return a list of items for each row.

    If there are headers in the block of text, they will
    be parsed out and a list of dicts will be returned.

Locate the section for your github remote in the .git/config file. It looks like this:

[remote "origin"]
	fetch = +refs/heads/*:refs/remotes/origin/*
	url = [email protected]:joyent/node.git

Now add the line fetch = +refs/pull/*/head:refs/remotes/origin/pr/* to this section. Obviously, change the github url to match your project's URL. It ends up looking like this:

	#!/usr/bin/env bash

	# Undefined variables are errors.
	set -euoE pipefail

	errcho ()
	{
	printf "%s\n" "$@" 1>&2
	}

	{
	"A": "1!",
	"b": "2",
	"Z": "spam!",
	"?": [
	83,
	65,
	84,
	85,
	82,

	# ssh key generator data source expects the below 3 inputs, and produces 3 outputs for use:
	# "${data.external.ssh_key_generator.result.public_key}" (contents)
	# "${data.external.ssh_key_generator.result.private_key}" (contents)
	# "${data.external.ssh_key_generator.result.private_key_file}" (path)
	data "external" "ssh_key_generator" {
	program = ["bash", "${path.root}/../ssh_key_generator.sh"]

	query = {
	customer_name = "${var.customer_name}"
	customer_group = "${var.customer_group}"


	import random

	import bottle

	THUMBS_UP = u'\U0001F44D'
	THUMBS_DOWN = u'\U0001F44E'


	@bottle.route('/hello/<name>')

	"""
	Example for a colourised logging output.

	This example uses "blessings" to handle console escape sequences. ``blessings``
	itself is a very harmless package in that it does not have any external
	dependencies. And it's code-base is very clean and small.

	The example extends the core logging formatter (logging.Formatter) and
	colourises the complete line. This takes advantage of any upstream updates
	related to logging. When writing this against Python 2.7, the parent code

	import collections

	def extract_top_ten(str):
	return collections.Counter(str.split()).most_common(10)