Marker registration in PyTest - Cheat Sheet & Quick Revision

Recall & Review

beginner

What is a marker in pytest?

A marker is a label you can add to tests to organize, select, or skip them during test runs.

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Why do you need to register markers in pytest?

To avoid warnings and to document custom markers so pytest knows they are valid and how to use them.

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Where do you register custom markers in pytest?

In the pytest.ini file under the [pytest] section using the markers option.

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Example of registering a custom marker named 'slow' in pytest.ini?

Add this line in pytest.ini: markers = slow: marks tests as slow to run

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How do you run only tests marked with a registered marker 'slow'?

Use the command: pytest -m slow

What happens if you use a custom marker without registering it in pytest.ini?

A Tests with that marker fail automatically.

B Pytest ignores the marker silently.

C Pytest registers the marker automatically.

D Pytest shows a warning about unknown marker.

Pytest warns you about unknown markers to encourage proper registration.

Where do you add marker registration in a pytest project?

A In pytest.ini file under [pytest] section.

B In the test file as a comment.

C In the Python test function docstring.

D In the command line only.

Markers are registered in pytest.ini to be recognized project-wide.

How do you mark a test as 'slow' in pytest after registering the marker?

A Name the test function slow_test().

B Add @pytest.mark.slow above the test function.

C Add slow=True in the test function parameters.

D Use a comment # slow inside the test.

You use the decorator @pytest.mark.slow to mark the test.

What command runs only tests marked with 'slow'?

A pytest -m slow

B pytest --only slow

C pytest --mark slow

D pytest --filter slow

The -m option filters tests by marker name.

Which section header is used in pytest.ini to register markers?

A [markers]

B [test_markers]

C [pytest]

D [custom]

Markers are registered under the [pytest] section.

Explain how to create and register a custom marker in pytest.

Think about configuration and usage steps.

Describe how to run tests selectively using markers in pytest.

Focus on command line usage.