Charles R Harris wrote:
> 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.
>
> Chuck