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.
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