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What happens when a python mock has both a return value and a list of side effects?

I'm having trouble understanding what's happening in some test code. It looks like this:

import pytest
from unittest.mock import MagicMock
from my_module import MyClass

confusing_mock = MagicMock(
    return_value=b"",
    side_effect=[
        ConnectionError(),
        b"another_return_value?",
        b"another_another_return_value?"
    ])

mocked_class = MyClass()
monkeypatch.setattr(mocked_class, "method_to_call_thrice", confusing_mock)

I know that:

  • side_effect is a function to be called whenever the mock is called
  • but if side_effect is an iterable, then "each call to the mock will return the next value from the iterable" (thanks pytest docs)
  • the docs also say that if the function passed to side_effect returns DEFAULT, then the mock will return it's normal value from return_value

But here's what I don't get:

  • What happens when I provide both a list of side effects and a return value?
  • What should I expect to see on each call of MyClass.method_to_call_thrice?
like image 315
tessafyi Avatar asked Sep 06 '25 03:09

tessafyi


1 Answers

side_effect is used. A list value can contain mock.DEFAULT, and a function can return mock.DEFAULT, to indicate that the value of the return_value attribute be used.

>>> import unittest.mock
>>> m = unittest.mock.Mock(return_value="foo",
...                        side_effect=[1, 2, unittest.mock.DEFAULT, 4, 5])
>>> m()
1
>>> m()
2
>>> m()
'foo'
>>> m()
4
>>> m()
5
>>> unittest.mock.Mock(return_value="foo",
...                    side_effect=lambda: unittest.mock.DEFAULT)()
'foo'
like image 170
chepner Avatar answered Sep 10 '25 10:09

chepner