[PyQt] Qt or PyQt problem?

[Darren Dale]

On Wed, Jun 3, 2009 at 12:08 PM, Phil Thompson
<phil at riverbankcomputing.com>wrote:

> On Wed, 03 Jun 2009 17:37:29 +0200, "V. Armando Solé" <sole at esrf.fr>
> wrote:
> > Hello,
> >
> > The problem can be solved as shown below.
> >
> > It seems the linux 32 bit implementation gets confused in
> > createIndex(row, column, a) when a is not an integer but a long. With
> > small values of a (10, 100, 1000),  the indexId() method returns the
> > supplied value.
> >
> > The solution is to call createIndex(row, column, a) with a being a
> > python object and not its id. The indexId() method can be masked with a
> > 32 bit mask if it returns a negative value. I have only found that
> > misbehavior under linux 32bit. Windows XP and linux 64-bit behave
> properly.
> >
> > Thanks for your time,
> >
> > Armando
> >
> > import PyQt4.Qt as qt
> > import random
> > import sys
> >
> > mask = 0xFFFFFFFF
> >
> > class Model(qt.QAbstractItemModel):
> >   def index(self, row, column, parent):
> >       a=[random.random()]
> >       index =  self.createIndex(row, column, a)
> >       print "Next two values should be the same"
> >       returned = index.internalId()
> >       if returned < 0:
> >           returned = returned & mask
> >       print "indexInternalId = ", returned
> >       print "id(a) = ", id(a)
> >       print "Forcing to be the same with a 32 bit mask"
> >       print "indexInternalId = ", index.internalId() & mask
> >       print "id(a) = ", id(a) & mask
> >       return index
> >
> > if __name__ == "__main__":
> >   app = qt.QApplication([])
> >   w = Model()
> >   w.index(0,0,None)
>
> Could you see if the problem goes away if you change qabstractitemmodel.sip
> so that...
>
>    QModelIndex createIndex(int arow, int acolumn, int aid) const;
>
> ...is replaced by...
>
>    QModelIndex createIndex(int arow, int acolumn, quint32 aid) const;
>

I applied this change to the 20090601 snapshot. Executive summary: when I
check different data types, I can still find places where the two id's do
not agree. I find disagreement with the mask applied and without:

When I run the script I posted, I get output like:

Next two values should be the same
indexInternalId =  1849945336
id(a) =  139691366280440

If I apply Armando's mask, I get:

Next two values should be the same
indexInternalId =  12719168
id(a) =  12719168

If I remove the mask and instead do "a=[numpy.uint32(random.random())]", I
get ouput like:

Next two values should be the same
indexInternalId =  12719168
id(a) =  12719168

Still without the mask, if I do "a=[numpy.int64(random.random())]":

Next two values should be the same
indexInternalId =  12719168
id(a) =  12719168

And finally, with Armando's mask and with
"a=[numpy.int64(random.random())]":

Next two values should be the same
indexInternalId =  110072896
id(a) =  139754050917440

Darren
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