On Sun, Apr 16, 2017 at 11:50 PM, Mats Wichmann <m...@wichmann.us> wrote:
>
> You got me thinking as well, as I don't much care for unittest, at least
> partly because it forces you to use classes even when it doesn't feel
> all that natural.
I have looked into pytest multiple times, but have decided to stick
with unittest until I feel I have mastered its use. While it forces
the use of classes, this is an advantage for me as I am still in the
beginning stages of learning OOP. But if I ever make it through these
learning journeys, I will probably switch to using pytest. Everything
I have read on it to this point has favorably impressed me.
[snip]
> === reverser.py ==
> def slicerev(collection):
> return collection[::-1]
>
> if __name__ == "__main__":
> print slicerev([1,2,3,4])
> print slicerev((1,2,3,4))
> print slicerev('abcd')
> ===
[snip]
> The actual test function should be pretty straightforward.
>
> === test_slicerev.py ===
> import pytest
>
> from reverser import slicerev
>
> @pytest.fixture(params=[
> ([1,2,3,4], [4,3,2,1]),
> ((1,2,3,4), (4,3,2,1)),
> ('abcd', 'edcba')
> ])
> def slicedata(request):
> return request.param
>
> def test_slicerev(slicedata):
> input, expected = slicedata
> output = slicerev(input)
> assert output == expected
> ===
It's funny you picked this type of example. Last year I was
struggling with getting unittest to feed in data to my test of a
function (or was it a method?), and almost took the plunge and went
all in on pytest because of the apparent ease of handling these types
of situations while respecting DRY. I did find a way to do something
similar in unittest, so put off pytest for another day. I cannot
remember now what I did. I need to go back and find that code (If I
still have it.) and compare it with this Mixin approach that I started
this whole thread with. Nonetheless pytest is definitely on my radar
and I will get to it at some point.
Thanks!
--
boB
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