Hi,
> Thanks for the numpy.isscalar patch. I wonder if you know if this is > related > to a bug in Python2.6 together with numpy? As there really should not be a > reason for > > isinstance(float128(1.), float) > > to be False. I have implemented our own IsInteger function in the SWIG > layer > (not exposed to Python) for checking integer types in typemaps for this > particular reason. > I have no idea, to be honest -- I only have 2.6 installed. But: even without bug, only the native python sizes (float64 and int32/int64) are subclasses of the python types, yet all of them are coercible to floats. What I wanted was to prevent this: >>> v = dolfin.Vector(1) >>> print type(numpy.float64(1) * v) <type 'numpy.ndarray'> ... but it didn't achieve that due to float64.__mul__ being called before Vector.__rmul__. So this still needs looking at, to ensure the Vector isn't implicitly converted to an ndarray (so that Vector.__rmul__ is called as it should). -j.
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