[GRASS-dev] Upcoming 7.2.0: review which addons to move to core
Markus Metz
markus.metz.giswork at gmail.com
Thu Oct 6 12:26:53 PDT 2016
On Tue, Oct 4, 2016 at 11:02 PM, Sören Gebbert
<soerengebbert at googlemail.com> wrote:
>
>
> 2016-10-04 22:22 GMT+02:00 Markus Metz <markus.metz.giswork at gmail.com>:
>>
>> Recently I fixed bugs in r.stream.order, related to stream length
>> calculations which are in turn used to determine stream orders. The
>> gunittest did not pick up 1) the bugs, 2) the bug fixes.
sorry for the confusion, r.stream.order does not have any testsuite,
only v.stream.order has.
>>
>> I agree, for tests during development, not for gunittests.
>>
>> From the examples I read, gunittests expect a specific output. If the
>> expected output (obtained with an assumed correct version of the
>> module) is wrong, the gunittest is bogus. gunittests are ok to make
>> sure the output does not change, but not ok to make sure the output is
>> correct. Two random examples are r.stream.order and r.univar.
>
>
> I don't understand your argument here or i have a principal problem in
> understanding the test topic.
>
> You have to implement a test that checks for correct output, this is the
> meaning of a test.
Exactly. During development, however, you need to run many more tests
until you are confident that the output is correct. Then you submit
the changes. My point is that modules need to be tested thoroughly
during development (which is not always the case), and a testsuite to
make sure that the output matches expectations is nice to have. In
most cases,
<module_name> <args>
if [ $? -ne 0 ] ; then
echo "ERROR: Module <module_name> failed"
exit 1
fi
should do the job
no offence :-;
> You have to design a test scenario from which you know
> what the correct solution is and then you test for the correct solution.
> What is with r.univar? Create a test map with a specific number of cells
> with specific values and test if r.univar is able to compute the correct
> values that you have validated by hand.
>
> -- what is the mean, min and max of 10 cells each with value 5? Its 5! --
what is the correct standard deviation? sqrt((1/n) * SUM(x - mu)) or
sqrt((1/(n - 1)) * SUM(x - mu))?
r.univar uses sqrt((1/n) * SUM(x - mu)) but sqrt((1/(n - 1)) * SUM(x -
mu)) might be more appropriate because you could argue that raster
maps are always a sample. Apart from that, r.univar uses a one-pass
method to calculate stddev which is debatable.
Markus M
>
> The most simple check for that is the raster range check in gunittest. If
> you know what the range of the resulting raster map has to be, then you can
> test for it. If this is not enough then you can check against the
> uni-variate statistic output of the raster map, since you know for sure what
> the result is for min, mean, median, max and so on. If this is not
> sufficient use r.out.ascii and check against the correct solution that you
> have created beforehand. If this is not sufficient then use pygrass and
> investigate each raster cell of the resulting output map.
>
> Best regards
> Soeren
>
>>
>> Markus M
>>
>> >
>> > Best regards
>> > Soeren
>> >
>> >>
>> >> my2c
>> >>
>> >> Markus M
>> >>
>> >> >
>> >> > Best
>> >> > Sören
>> >> >
>> >> >>
>> >> >> One thing we could think about is activating the toolbox idea a bit
>> >> >> more
>> >> >> and creating a specific OBIA toolbox in addons.
>> >> >>
>> >> >>> Identified candidates could be added to core once they fulfill the
>> >> >>> requirements above. Would that happen only in minor releases or
>> >> >>> would
>> >> >>> that also be possible in point releases?
>> >> >>
>> >> >>
>> >> >> Adding modules to core is not an API change, so I don't see why they
>> >> >> can't
>> >> >> be added at any time. But then again, having a series of new modules
>> >> >> can be
>> >> >> sufficient to justify a new minor release ;-)
>> >> >>
>> >> >>> Or is that already too much formality and if someone wishes to see
>> >> >>> an
>> >> >>> addon in core that is simply discussed on ML?
>> >> >>
>> >> >>
>> >> >> Generally, I would think that discussion on ML is the best way to
>> >> >> handle
>> >> >> this.
>> >> >>
>> >> >> Moritz
>> >> >>
>> >> >>
>> >> >> _______________________________________________
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>> >> >> http://lists.osgeo.org/mailman/listinfo/grass-dev
>> >> >
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>> >
>> >
>
>
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