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I am replacing several for-loops inside logarithmic quantity tests with parametrized tests. These are better than for-loops inside tests because a parameter that causes a test to fail does not prevent other parameters from being tested. Furthermore, the output of pytest is much better if a test fails or if pytest is invoked with the --verbose option. In this particular case defining a module level decorator for parametrization also allows eliminating two test class setup methods.

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Using `pytest.mark.parametrize()` is better than having a `for`-loop
inside a test. One parameter causing a test failure does not prevent
other parameters from being tested. Furthermore, the output of `pytest`
is much better if a test fails or if `pytest` is invoked with the
`--verbose` option.
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