or Complete coverage testing or More is Better testing The setup For the sake of this post, let’s say I’ve got a Python package that needs testing. It’s written completely in Python It has a specification fully describing the API The specification is so complete that it also covers behaviors and side effects The API is the only interface this program exposes It was written by us It was written recently It only uses base Python Therefore: ...

There are many circumstances where it’s really great to display the output of a test while a test is running, and not wait until the end. In this post, I’m going to describe my method for getting around pytest’s output capture mechanism, so that I can see my debug print/logging statements in real time. Fast and Quick? Not always Unit tests should run fast so the entire test suite can be run quickly. ...

Search and replace is such a common task that it should be a tool that’s in every command line script author’s toolbox. There are probably endless solutions to the problem. I’ve put together my standard methods for tackling the problem. I’ll also show similar Perl versions, mainly for comparisons. ...

Search and replace is such a common task that it should be a tool that’s in every command line script author’s toolbox. There are probably endless solutions to the problem. I’ve put together my standard methods for tackling the problem. I’ll also show similar Perl versions, mainly for comparisons. use models using Python with a more complex regular expression using Perl ...

Search and replace is such a common task that it should be a tool that’s in every command line script author’s toolbox. There are probably endless solutions to the problem. I’ve put together my standard methods for tackling the problem, with Perl. You can also use Python, of course, as well as other tools like sed. Use Models In most of the following discussion, I’m just replacing ‘foo’ with ‘bar’. However ‘foo’ can be ANY regular expression. ...

This post has several examples, and covers fixtures, test discovery, asserts, running options, and running unittests and doctests. Nose’s tagline is “nose extends unittest to make testing easier”. It’s is a fairly well known python unit test framework, and can run doctests, unittests, and “no boilerplate” tests. It is a good candidate for a go-to test framework. I think a smart developer should get familiar doctest, unittest, pytest, and nose. Then decide if one of those makes the most sense for them, or if they want to keep looking for features only found in other frameworks. That’s of course the reason why I’m writing this series. So I guess that last bit goes without saying. ...

I think of pytest as the run-anything, no boilerplate, no required api, use-this-unless-you-have-a-reason-not-to test framework. This is really where testing gets fun. As with previous intro’s on this site, I’ll run through an overview, then a simple example, then throw pytest at my markdown.py project. I’ll also cover fixtures, test discovery, and running unittests with pytest. No boilerplate, no required api The doctest and unittest both come with Python. They are pretty powerful on their own, and I think you should at least know about those frameworks, and learn how to run them at least on some toy examples, as it gives you a mental framework to view other test frameworks. ...

I have a confession to make. I still use Perl. Regularly. But mostly as a command line tool. Is that a reason? or an excuse? When I started using Python regularly, I tried to replace my Perl usage. Nothing against Perl, I just wanted to force myself to use Python to aid in my learning of the language. I still have quite a few Perl habits that are hard to break. ...

The unittest test framework is python’s xUnit style framework. It is a standard module that you already have if you’ve got python version 2.1 or greater. In this post, I’ll cover the basics of how to create and run a simple test using unittest. Then I’ll show how I’m using it to test markdown.py. Overview of unittest The unittest module used to be called PyUnit, due to it’s legacy as a xUnit style framework. It works much the same as the other styles of xUnit, and if you’re familiar with unit testing in other languages, this framework (or derived versions), may be the most comfortable for you. ...

The doctest test framework is a python module that comes prepackaged with Python. This post covers the basics of how to put doctests in your code, and outside of your code, in a separate file. Then I’ll show how I’m using it to test markdown.py. conceptual model of python doctest This is from python.org: The doctest module searches for pieces of text that look like interactive Python sessions, and then executes those sessions to verify that they work exactly as shown. … ...