Per B. Sederberg wrote:
>
> Hi Folks:
>
> I'm getting a very strange bus error in the recent versions of numpy (almost
> current svn). Here's how you can (hopefully) replicate it:
>
> On my MacBook:
>
> Python 2.4.3 (#1, Apr 7 2006, 10:54:33)
> [GCC 4.0.1 (Apple Computer, Inc. build 5250)] on darwin
> Type "help", "copyright", "credits" or "license" for more information.
> >>> import numpy as N
> >>> N.version.version
> '1.0.2.dev3569'
> >>> fields = [('x',(N.str,40))]
> >>> dat = N.zeros(1,fields)
> >>> dat
> Bus error
>
>
> On my linux cluster:
>
> Python 2.4.3 (#1, May 8 2006, 11:36:25)
> [GCC 3.2.3 20030502 (Red Hat Linux 3.2.3-49)] on linux2
> Type "help", "copyright", "credits" or "license" for more information.
>
>>>> import numpy as N
>>>> N.version.version
>>>>
> '1.0.2.dev3567'
>
>>>> fields = [('x',(N.str,40))]
>>>> dat = N.zeros(1,fields)
>>>> dat
>>>>
> Segmentation fault
>
>
> But it works on my linux desktop with an older numpy:
>
> Python 2.4.4c1 (#2, Oct 11 2006, 20:00:03)
> [GCC 4.1.2 20060928 (prerelease) (Ubuntu 4.1.1-13ubuntu5)] on linux2
> Type "help", "copyright", "credits" or "license" for more information.
>
>>>> import numpy as N
>>>> N.version.version
>>>>
> '1.0rc1'
>
>>>> fields = [('x',(N.str,40))]
>>>> dat = N.zeros(1,fields)
>>>> dat
>>>>
> array([('',)],
> dtype=[('x', '|S40')])
>
>
>
> Does anyone have any clue as to how to deal with this? Is there a better way
> to
> create an ndarray with named fields (recarray)? My real code has a number of
> fields of various types, but I was able to narrow it down to anytime I use a
> string type. For example, this works on the machines where using a string
> fails:
>
>
>>>> import numpy as N
>>>> fields = [('x',N.bool),('y',N.int32)]
>>>> dat = N.zeros(1,fields)
>>>> dat
>>>>
> array([(False, 0)],
> dtype=[('x', '|b1'), ('y', '<i4')])
>
>
> Thanks for any help,
> Per
>
>
> _______________________________________________
> Numpy-discussion mailing list
> [email protected]
> http://projects.scipy.org/mailman/listinfo/numpy-discussion
>
I cannot reproduce your problems with 1.0.3.dev3716.
Nils
_______________________________________________
Numpy-discussion mailing list
[email protected]
http://projects.scipy.org/mailman/listinfo/numpy-discussion