[Numpy-discussion] numpy_quaternion: OK on numpy 1.5.0, fails on 1.6.1
Charles R Harris
charlesr.harris at gmail.com
Mon May 7 15:30:02 EDT 2012
On Mon, May 7, 2012 at 7:28 AM, Tom Aldcroft
<aldcroft at head.cfa.harvard.edu>wrote:
> Sorry to bother again, but I am running into an issue with the numpy
> quaternion dtype on numpy 1.6.1 :
> $ python
> ActivePython 126.96.36.199 (ActiveState Software Inc.) based on
> Python 2.7.1 (r271:86832, Feb 7 2011, 11:30:54)
> [GCC 4.0.2 20051125 (Red Hat 4.0.2-8)] on linux2
> Type "help", "copyright", "credits" or "license" for more information.
> >>> import numpy
> >>> import quaternion
> >>> q = numpy.quaternion(1,0,0,0)
> >>> q
> quaternion(1, 0, 0, 0)
> >>> q2 = numpy.quaternion(1,0,0,0)
> >>> q * q2
> Traceback (most recent call last):
> File "<stdin>", line 1, in <module>
> TypeError: ufunc 'multiply' not supported for the input types, and the
> inputs could not be safely coerced to any supported types according to
> the casting rule 'safe'
> >>> numpy.__version__
> Using numpy 1.5.0 on the same platform the multiplication works and I
> get the expected result.
> For my near-term goal of getting tests in place I can just use 1.5.0,
> but if anyone has an idea of the problem I would appreciate help.
I haven't looked at this yet, but I set up the repository, added your name
to the numpy core developers, and put in a pull request merging the
If you would like, I can also merge in the quaternion type so you can start
working with the repository. The build will need to be fixed up so it can
work with quaternions in a subdirectory.
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