No, Paul, I haven't really had the time to dig into it myself. I would
also appreciate it very much if anyone could provide an explanation, how
this works and whether it can be used like this.
Eduard
On 11/06/2013 07:55 PM, Paul Hobson wrote:
> Eduard,
>
> Did you make any progress on this? I'm trying to do the same thing and it's
> skipping my tests entirely.
> -paul
>
>
> On Thu, Oct 10, 2013 at 5:41 AM, Eduard Bopp <eduard.b...@aepsil0n.de>wrote:
>
>> Hello,
>>
>> I am developing a toolkit to parse, analyse and plot some scientific
>> data using matplotlib. Among them are some application-specific plotting
>> functions that sort of extend matplotlib.
>>
>> There are these nice image comparison decorators to test code like that
>> but I am not sure how to use them for unit testing outside the scope of
>> matplotlib itself. Is this use case intended and possible for the
>> decorator?
>>
>> I have experimented with this unsuccessfully in the following way:
>>
>> There is a tests directory within my package with test functions
>> decorated like so
>>
>> @image_comparison(baseline_images=['custom_function'])
>> def test_custom_function():
>> # plot stuff...
>>
>> When I run nosetests, it fails creating some output images in
>> result_images.
>>
>> Copying the appropriate files according to [1] to
>> my_package/tests/baseline_images does not seem to have any effect. There
>> are neither *-expected* nor *_{pdf,svg}.png files in there, only
>> custom_function.{pdf,svg,png}. What am I doing wrong?
>>
>> Eduard
>>
>> [1] http://matplotlib.org/devel/testing.html
>>
>>
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