Revisions to contributing-unittests.rst

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Zen-CODE 2013-05-12 13:00:01 -05:00
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Unit tests
==========
Tests are located in the kivy/tests folder. If you find a bug in kivy, a good
thing to do can be to write a minimal case showing the issue and to ask core devs
if the behaviour shown is intended or a real bug. If you write your code as a
unittest, it will prevent the bug from coming back unnoticed in the future, and
will make Kivy a better, stronger project. Writing a unittest may be a really
good way to get familiar with Kivy while doing something useful.
Tests are located in the kivy/tests folder. If you find a bug in Kivy, a good
thing to do can be to write a minimal case showing the issue and to ask core
devs if the behaviour shown is intended or a real bug. If you write your code
as a `unittest <http://docs.python.org/2/library/unittest.html>`_
, it will prevent the bug from coming back unnoticed in the future,
and will make Kivy a better, stronger project. Writing a unittest may be a
really good way to get familiar with Kivy while doing something useful.
Unit tests are seperated into two cases:
* Non graphics unit tests: theses are standard unit tests that can run in a console
* Graphics unit tests: theses need a GL context, and work via image comparison
* Non graphical unit tests: theses are standard unit tests that can run in a
console
* Graphical unit tests: theses need a GL context, and work via image comparison
To be able to run unit tests, you need to install nose
(http://code.google.com/p/python-nose/), and coverage
@ -47,8 +49,8 @@ start with this template::
self.assertEqual(a, 1)
Replace `XXX` with an appropriate name that covers your tests cases, then
replace 'YYY' by the name of your test. If you have some doubt, check how
the other files have been done.
replace 'YYY' with the name of your test. If you have any doubts, check how
the other test have been written.
Then, to execute them, just run::
@ -64,10 +66,10 @@ GL unit tests
GL unit test are more difficult. You must know that even if OpenGL is a
standard, the output/rendering is not. It depends on your GPU and the driver
used. For theses tests, the goal is to save the output of the rendering at
used. For these tests, the goal is to save the output of the rendering at
frame X, and compare it to a reference image.
Currently, images are generated in 320x240, png.
Currently, images are generated at 320x240 pixels, in *png* format.
.. note::
@ -76,12 +78,12 @@ Currently, images are generated in 320x240, png.
somebody can implement image comparison with "delta" support, patches
are welcome :)
To execute gl unit test, you need to create a directory::
To execute GL unit tests, you need to create a directory::
mkdir kivy/tests/results
make test
The results directory will contain all the reference images, and the
The results directory will contain all the reference images and the
generated images. After the first execution, if the results directory is empty,
no comparison will be done. It will use the generated images as reference.
After the second execution, all the images will be compared to the reference
@ -101,8 +103,8 @@ Writing GL Unit tests
---------------------
The idea is to create a root widget, as you would do in
:meth:`~kivy.app.App.build()`, or for :func:`kivy.base.runTouchApp()`.
You'll give that root widget to a rendering function, that will capture the
:meth:`~kivy.app.App.build()`, or in :func:`kivy.base.runTouchApp()`.
You'll give that root widget to a rendering function which will capture the
output in X frames.
Here is an example::
@ -134,25 +136,25 @@ Here is an example::
r(wid, 10)
Each call to `self.render` (or `r` in our example) will generate an image named
like this::
as follows::
<classname>_<funcname>-<r-call-count>.png
`r-call-count` represents the number of times that `self.render` is called inside
the test function.
`r-call-count` represents the number of times that `self.render` is called
inside the test function.
The reference images are named::
ref_<classname>_<funcname>-<r-call-count>.png
You can replace the reference image with a new one easily.
You can easily replace the reference image with a new one if you wish.
Coverage reports
----------------
Coverage is based on the execution of the previous tests. Statistics on code
coverage are automatically grabbed during execution. You can generate an html
Coverage is based on the execution of previous tests. Statistics on code
coverage are automatically calculated during execution. You can generate an html
report of the coverage with the command::
make cover