Skip to main content

A Python Mocking and Patching Library for Testing

Project description

There are already several Python mocking libraries available, so why another one?

Most mocking libraries follow the ‘record -> replay’ pattern of mocking. I prefer the ‘action -> assertion’ pattern, which is more readable and intuitive particularly when working with the Python unittest module. For a discussion of the merits of the two approaches, see Mocking, Patching, Stubbing: all that Stuff.

mock provides a core Mock class that is intended to reduce the need to create a host of trivial stubs throughout your test suite. After performing an action, you can make assertions about which methods / attributes were used and arguments they were called with. You can also specify return values and set specific attributes in the normal way.

It also provides a patch decorator that handles patching module and class level attributes within the scope of a test, along with sentinel for creating unique objects.

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

mock-0.5.0.tar.gz (21.2 kB view hashes)

Uploaded Source

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page