liamcurry

Moving from jQuery

Events

// jQuery
$(document).ready(function() {
  // code
})

amcgregor

Marrow Automaton

automaton |ôˈtämətən, -ˌtän|

noun ( pl. automata |-tə| or automatons ) — a moving mechanical device made in imitation of a human being.

• A machine that performs a function according to a predetermined set of coded instructions, esp. one capable of a range of programmed responses to different circumstances.
• A scripting infrastructure for project and system management.

amcgregor

What I propose below is a Behaviour (or Story) Driven Development domain-specific language for writing your tests in Python. This uses some tricks of how imports are done (via encoding) to dynamically translate the tests from the DSL into pure Python. Additional tricks are used to preserve the line numbers of errors, offer abbreviated asserts, and automatically pass local variables from parent to child scopes.

This is parallelizable for efficient test running, compiles to Python bytecode for efficiency, and follows the same style as doctests.

If you hate DSLs (hey, Python ain’t Ruby!) consider this to be a file-length docstring. If you don’t like doctests then consider this to be a template engine for tests. (Most modern template engines generate Python code…)

agronholm

from Queue import Queue, Empty
from socket import (socket, error, AF_INET, SOCK_STREAM, SOCK_DGRAM,
                    SOL_SOCKET, SOL_TCP, SO_ERROR, TCP_NODELAY)
from errno import EINPROGRESS
from select import select
from threading import current_thread
from concurrent.futures import Future
from functools import partial
import sys
import os

andreisavu

#!/usr/bin/env python
""" Test HTTP Server 

This script starts a http server that will respond to HTTP requests
with a predefined response.

Usage:

  ./http_server.py --port=8080 --code=404 --content="Page not Found"

cowboy

This is now an actual repo:

https://github.com/cowboy/jquery-tiny-pubsub

amcgregor

# All units in usecs (µsec) comparing Python 2.7 | 3.7.
# Last updated: 2019-02-11
# MacBook Pro (15-inch, 2016)
# macOS 10.14.3
# 2.7 GHz Intel Core i7
# 16 GB 2133 MHz LPDDR3

python -m timeit "200 <= 250 < 300" # 0.0354 | 0.059

python2.7 -m timeit "250 in xrange(200, 300)" # 1.25