mplanchard

import itertools
import pytest

@pytest.mark.parametrize(
    'foo, bar', itertools.product(('a', 'b'), (True, False))
)
def test_multi(foo, bar):
    print(foo, bar)

mplanchard

import pytest

@pytest.mark.parametrize('foo', ('a', 'b'))
@pytest.mark.parametrize('bar', (True, False))
def test_multi(foo, bar):
    print(foo, bar)

mplanchard

"""
========================================================================
Timing Static Methods vs. Inline Functions
========================================================================

A simple test to compare the overhead of calling static functions vs.
defining and calling inline functions.

At least in this experiment, static methods are ~15-20% faster. This
is of course not even considering their improvements in testability

mplanchard

test_array = [
    [1,  2,  3,  4],
    [5,  6,  7,  8],
    [9, 10, 11, 12],
]


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