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  3. Unit Testing for Data Science in Python

Exercise

Mock a dependency

Mocking helps us replace a dependency with a MagicMock() object. Usually, the MagicMock() is programmed to be a bug-free version of the dependency. To verify whether the function under test works properly with the dependency, you simply check whether the MagicMock() is called with the correct arguments and in the right order.

In the last exercise, you programmed a bug-free version of the dependency data.preprocessing_helpers.convert_to_int in the context of the test test_on_raw_data(), which applies preprocess() on a raw data file. The data file is printed out in the IPython console.

pytest, unittest.mock.call, preprocess raw_and_clean_data_file and convert_to_int_bug_free has been imported for you.

Instructions 1/4

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  • In the test test_on_raw_data(), add the correct argument that enables the use of the mocking fixture.