Unable to pass mocked fixture as an argument in parametrized tests in pytest - pytest

Question

See below, is it even possible to pass a mock fixture (mock_adam, "adam", "0.001", ...) in parametrized tests for reusability purposes?
import pytest
from contextlib import contextmanager
from unittest import mock
from my_module import get_optimizer
#contextmanager
def does_not_raise():
yield
#pytest.fixture(autouse=True)
def mock_adam():
with mock.patch("my_module.optimizers.Adam") as mocker:
yield mocker
#pytest.fixture(autouse=True)
def mock_RMSprop():
with mock.patch("my_module.optimizers.RMSprop") as mocker:
yield mocker
class TestGetOptimizers:
#pytest.mark.parametrize(
"mock_optimizer, optimizer_name, learning_rate, clipnorm, expectation",
[
(mock_adam, "adam", "0.001", "1.1", does_not_raise()),
(mock_RMSprop, "rmsprop", "0.001", "1.1", does_not_raise()),
],
)
def test_get_optimizer(self, mock_optimizer, optimizer_name, learning_rate, clipnorm, expectation):
with expectation:
get_optimizer(
optimizer_name=optimizer_name,
learning_rate=learning_rate,
clipnorm=clipnorm,
)
mock_optimizer.assert_called_once_with(lr=learning_rate, clipnorm=clipnorm)
AttributeError: 'function' object has no attribute 'assert_called_once_with'

Answer 1

To achieve this, you can create a single fixture that would get the path to mock as an indirect parameter, like so:
import pytest
from contextlib import contextmanager
from unittest import mock
from my_module import get_optimizer
#contextmanager
def does_not_raise():
yield
#pytest.fixture
def mock_with_param(request):
with mock.patch(request.param) as mocker:
yield mocker
class TestGetOptimizers:
#pytest.mark.parametrize(
"mock_with_param, optimizer_name, learning_rate, clipnorm, expectation",
[
("my_module.optimizers.Adam", "adam", "0.001", "1.1", does_not_raise()),
("my_module.optimizers.RMSprop", "rmsprop", "0.001", "1.1", does_not_raise()),
], indirect=["mock_with_param"]
)
def test_get_optimizer(self, mock_with_param, optimizer_name, learning_rate, clipnorm, expectation):
with expectation:
get_optimizer(
optimizer_name=optimizer_name,
learning_rate=learning_rate,
clipnorm=clipnorm,
)
mock_with_param.assert_called_once_with(lr=learning_rate, clipnorm=clipnorm)