On Fri, May 1, 2009 at 1:02 PM, Neal Becker <ndbecker2@gmail.com> wrote:
In [16]: (np.linspace (0, len (x)-1, len(x)).astype (np.uint64)*2).dtype
Out[16]: dtype('uint64')

In [17]: (np.linspace (0, len (x)-1, len(x)).astype (np.uint64)*n).dtype
Out[17]: dtype('float64')

In [18]: type(n)
Out[18]: <type 'int'>

Now that's just strange.  What's going on?

The  n is signed, uint64 is unsigned. So a signed type that can hold uint64 is needed. There ain't no such integer, so float64 is used. I think the logic here is a bit goofy myself since float64 doesn't have the needed 64 bit precision and the conversion from int kind to float kind is confusing. I think it would be better to raise a NotAvailable error or some such. Lest you think this is an isolated oddity, sometimes numeric arrays can be converted to object arrays.