Hi,
I've just installed soya-0.14rc1
The demos in the tutorial run fine except for the networked demo in the tofu/
directory. First of all it needs cerealizer, which I don't know if is up-to
date code now as the last version is from last year. Anyway I installed and
it stopped complaining about that.
however, when I run the demo:
# python demo.py --single nico
It works fine the first time but then on second time there seems to be some
cerealizer issue and I get this error:
Exception exceptions.TypeError: 'Cannot convert tuple to _soya._Body'
in '_soya._AnimatedModelData.__setcstate__' ignored
If i delete the contents of tmp/ and run it again it works.
Then I tried server-client.
server starts fine with
# python demo.py --server
then when I try to start a client:
# python demo.py --client localhost nico
I get this output:
* Soya * Using 8 bits stencil buffer
* Soya * version 0.14rc1
* Using OpenGL 2.1.2 NVIDIA 173.14.09
* - renderer : GeForce 8600M GT/PCI/SSE2
* - vendor : NVIDIA Corporation
* - maximum number of lights: 8
* - maximum number of clip planes : 6
* - maximum number of texture units : 4
* - maximum texture size: 8192 pixels
* Tofu * received with .
Exception exceptions.TypeError: 'Cannot convert tuple to _soya._Body'
in '_soya._AnimatedModelData.__setcstate__' ignored
* Tofu * Owning control of .
* Tofu * Level demo UID:2 activated.
* Tofu * received in level .
Exception exceptions.SystemError: 'null argument to internal routine'
in '_soya._AnimatedModelData._animate_blend_cycle' ignored
Segmentation fault
deleting the contents of tmp/ doesn't help here in case you are wondering
that.
So... is this supposed to be working in this version or is it a known issue
with 0.14rc1?
Thanks,
NicoEchániz
PS: does soya now run on 64bit architectures or are there still issues with
that? I can't test because I'm on a 32 bit system now.
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