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factory openSUSE OpenGLUsing.py failing

See original GitHub issue

Using factory from a week ago:

python3:

[  815s] Skipped, NumpyUsing.py (numpy.test not fully working yet).
[  815s] Consider output of recursively compiled program: OpenGLUsing.py
[  815s] Comparing output of 'OpenGLUsing.py' using '/usr/bin/python3' with flags silent, expect_success, standalone, remove_output, ignore_warnings ...
[ 1436s] --- /usr/bin/python3 (stderr)
[ 1436s] +++ nuitka (stderr)
[ 1436s] 
[ 1436s] @@ -1 +1,4 @@
[ 1436s] 
[ 1436s]  
[ 1436s] +cc1: out of memory allocating 51056008 bytes after a total of 2687528960 bytes
[ 1436s] +scons: *** [OpenGLUsing.build/module.OpenGL.raw.GL.VERSION.GL_1_0.o] Error 1
[ 1436s] +
[ 1436s] Exit codes 0 (CPython) != 1 (Nuitka)
[ 1436s] Error, outputs differed.
[ 1436s] Error exit! 1
[ 1437s] error: Bad exit status from /var/tmp/rpm-tmp.zcf9SN (%check)

python2:

[  868s] Skipped, NumpyUsing.py (numpy.test not fully working yet).
[  868s] Consider output of recursively compiled program: OpenGLUsing.py
[  868s] Comparing output of 'OpenGLUsing.py' using '/usr/bin/python2' with flags silent, expect_success, standalone, remove_output, ignore_warnings ...
[ 1481s] --- /usr/bin/python2 (stderr)
[ 1481s] +++ nuitka (stderr)
[ 1481s] 
[ 1481s] @@ -1 +1,2 @@
[ 1481s] 
[ 1481s] +Nuitka:INFO:Missing optimization, used fallback: ('Lt', <class 'nuitka.nodes.shapes.BuiltinTypeShapes.ShapeTypeNoneType'>, <class 'nuitka.nodes.shapes.BuiltinTypeShapes.ShapeTypeIntOrLong'>)
[ 1481s]  
[ 1481s] Error, outputs differed.
[ 1481s] Error exit! 1
[ 1481s] error: Bad exit status from /var/tmp/rpm-tmp.Gecerl (%check)

Python 2 finished failed log at https://build.opensuse.org/package/show/home:jayvdb:py-bridge/python-Nuitka-factory

Searching on OOM took me to https://github.com/Nuitka/Nuitka/issues/136 , which looks interesting

Issue Analytics

State:
Created 4 years ago
Comments:6 (6 by maintainers)

Top GitHub Comments

1reaction

kayhayencommented, Jul 30, 2019

I have started work to special case empty code functions to not need boilerplate code. I expect that work result in a more scalable Nuitka, definitely for the file you ran out of memory with. I hope to finish this for 0.6.6 release, but obviously that is not granted.

0reactions

jayvdbcommented, Sep 21, 2019

The opengl tests are still extremely slow, but they now pass reliably, at least when I also add my slightly customised package opengl-accelerate - see https://github.com/mcfletch/pyopengl/issues/28 for the current problems atm with PyOpenGL-accelerate.