On Mon, May 7, 2012 at 7:28 AM, Tom Aldcroft <[email protected]>wrote:
> Sorry to bother again, but I am running into an issue with the numpy > quaternion dtype on numpy 1.6.1 : > > $ python > ActivePython 2.7.1.4 (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__ > '1.6.1' > > 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 rational stuff. 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. Chuck
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