Testing with py.test
The py.test
tool makes it very easy to write tests and run them. There are a few other options such as nose
and the bundled unittest
module available, but the py.test
library offers a very good combination of usability and active development. In the past, I was an avid nose
user but have since switched to py.test
as it tends to be easier to use and has better community support, in my experience at least. Regardless, nose
is still a good choice, and if you're already using it, there is little reason to switch and rewrite all of your tests. When writing tests for a new project, however, py.test
can be much more convenient.
Now, we will run the doctests from the previously discussed square.py
file using py.test
.
First, start by ...
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