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What is the difference between these imports?
from mock import patch
vs
from unittest.mock import patch
Are they the same?
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Patching vs Mocking: Patching a function is adjusting it's functionality. In the context of unit testing we patch a dependency away; so we replace the dependency. Mocking is imitating. Usually we patch a function to use a mock we control instead of a dependency we don't control.
patch() unittest. mock provides a powerful mechanism for mocking objects, called patch() , which looks up an object in a given module and replaces that object with a Mock . Usually, you use patch() as a decorator or a context manager to provide a scope in which you will mock the target object.
Which is better – pytest or unittest? Although both the frameworks are great for performing testing in python, pytest is easier to work with. The code in pytest is simple, compact, and efficient. For unittest, we will have to import modules, create a class and define the testing functions within that class.
With Mock you can mock magic methods but you have to define them. MagicMock has "default implementations of most of the magic methods.". If you don't need to test any magic methods, Mock is adequate and doesn't bring a lot of extraneous things into your tests.
unittest.mock is a library for testing in Python. It allows you to replace parts of your system under test with mock objects and make assertions about how they have been used. unittest.mock provides a core Mock class removing the need to create a host of stubs throughout your test suite.
Use the patch () from unittest.mock module to temporarily replace a target with a mock object. Use the patch () as a decorator, a context manager, or manually call start () and stop () patching. Did you find this tutorial helpful ?
The mock is a Python library to create mock objects, which helps us in replacing parts of your system under test with mock objects and set assertions about how they have been used. It is part of Python standard library, available as unittest.mock in Python 3.3 onwards.
There is a backport of unittest.mock for earlier versions of Python, available as mock on PyPI. Mock and MagicMock objects create all attributes and methods as you access them and store details of how they have been used.
The mock library has been integrated into the Python standard library from Python version 3.3 on as unittest.mock. They deliver the same functionality.
Nowadays the (external) mock library is a backport of the version in the standard library. If you are using a recent version of Python and don't have any special version requirement, the version from the standard library should be preferred.
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Yes, both are the same but there is one major difference in them. It looks like the Mock version used in python mock is 1.0.0 which caused errors in my test cases due to dependency on the latest version.
https://github.com/python/cpython/blob/c1f1ddf30a595c2bfa3c06e54fb03fa212cd28b5/Lib/unittest/mock.py#L26
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