numpy-discussion

[Numpy-discussion] segfault when pickling PyObject arrays

[Tavis R. <ta...@ca...>]

Hi,
I've been having difficultly pickling arrays with the
type PyObject using Numeric.  I haven't tried it with
MA but I assume the same problem exists.

This script works
=====================================
from cPickle import dump, load
from Numeric import array, PyObject

def pickleIt(obj, fileName):
    fp = open(fileName, 'w')
    dump(obj, fp)
    fp.close

def loadIt(fileName):
    fp = open(fileName, 'r')
    obj = load(fp)
    fp.close()
    return obj

a = array(['abc', 'def', 'ghi'], PyObject)
pickleIt(a, 'test.pickle')

This script segfaults
====================================
#  ... same imports and func defs as above
b = loadIt()
print b

====================================

I first noticed this when trying to pickle arrays constructed
from lists of mx.DateTime objects.

Numeric 19.1.0
Python 2.1 final
Linux 2.2.18

Is this a reproduceable bug or something unique to my 
setup?
Tavis

Re: [Numpy-discussion] segfault when pickling PyObject arrays

[Paul F. D. <du...@ll...>]

Travis:
Works for me ....using either dump or dumps, load or loads
I used Numeric 20.1.0b1 / Python 2.1 / RedHat 6.2

On Tue, 05 Jun 2001, Tavis Rudd wrote:
> Hi,
> I've been having difficultly pickling arrays with the
> type PyObject using Numeric.  I haven't tried it with
> MA but I assume the same problem exists.
>=20
> This script works
> =3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=
=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D
> from cPickle import dump, load
> from Numeric import array, PyObject
>=20
> def pickleIt(obj, fileName):
>     fp =3D open(fileName, 'w')
>     dump(obj, fp)
>     fp.close
>=20
> def loadIt(fileName):
>     fp =3D open(fileName, 'r')
>     obj =3D load(fp)
>     fp.close()
>     return obj
>=20
> a =3D array(['abc', 'def', 'ghi'], PyObject)
> pickleIt(a, 'test.pickle')
>=20
> This script segfaults
> =3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=
=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D
> #  ... same imports and func defs as above
> b =3D loadIt()
> print b
>=20
> =3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=
=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D
>=20
> I first noticed this when trying to pickle arrays constructed
> from lists of mx.DateTime objects.
>=20
> Numeric 19.1.0
> Python 2.1 final
> Linux 2.2.18
>=20
> Is this a reproduceable bug or something unique to my=20
> setup?
> Tavis
>=20
> _______________________________________________
> Numpy-discussion mailing list
> Num...@li...
> http://lists.sourceforge.net/lists/listinfo/numpy-discussion

Re: [Numpy-discussion] segfault when pickling PyObject arrays

[Tavis R. <ta...@ca...>]

Paul,
I just installed 20.1.0b1 and got the same segfault.
I'm using Suse 6.4

Note that if I dump it and load it from a single process it 
works fine.  The error only occurs when I try to load it 
from a separate process.

Tavis

On Tuesday 05 June 2001 11:14, Paul F. Dubois wrote:
> Travis:
> Works for me ....using either dump or dumps, load or
> loads I used Numeric 20.1.0b1 / Python 2.1 / RedHat 6.2


> On Tue, 05 Jun 2001, Tavis Rudd wrote:
> > Hi,
> > I've been having difficultly pickling arrays with the
> > type PyObject using Numeric.  I haven't tried it with
> > MA but I assume the same problem exists.
> >
> > This script works
> > =====================================
> > from cPickle import dump, load
> > from Numeric import array, PyObject
> >
> > def pickleIt(obj, fileName):
> >     fp = open(fileName, 'w')
> >     dump(obj, fp)
> >     fp.close
> >
> > def loadIt(fileName):
> >     fp = open(fileName, 'r')
> >     obj = load(fp)
> >     fp.close()
> >     return obj
> >
> > a = array(['abc', 'def', 'ghi'], PyObject)
> > pickleIt(a, 'test.pickle')
> >
> > This script segfaults
> > ====================================
> > #  ... same imports and func defs as above
> > b = loadIt()
> > print b
> >
> > ====================================
> >
> > I first noticed this when trying to pickle arrays
> > constructed from lists of mx.DateTime objects.
> >
> > Numeric 19.1.0
> > Python 2.1 final
> > Linux 2.2.18
> >
> > Is this a reproduceable bug or something unique to my
> > setup?
> > Tavis
> >
> > _______________________________________________
> > Numpy-discussion mailing list
> > Num...@li...
> > http://lists.sourceforge.net/lists/listinfo/numpy-discu
> >ssion
>
> _______________________________________________
> Numpy-discussion mailing list
> Num...@li...
> http://lists.sourceforge.net/lists/listinfo/numpy-discuss
>ion

Re: [Numpy-discussion] segfault when pickling PyObject arrays

[Tavis R. <ta...@ca...>]

oops, there's a typo in that test script I posted

it should be 

b = loadIt('test.pickle')

instead of 

> > > This script segfaults
> > > ====================================
> > > #  ... same imports and func defs as above
> > > b = loadIt()
> > > print b
> > >
> > > ====================================