Re: [Numpy-discussion] 64-bit windows numpy / scipy wheels for testing

2014-05-22 Thread Matthew Brett
Hi, On Fri, May 9, 2014 at 4:06 AM, David Cournapeau wrote: > > > > On Fri, May 9, 2014 at 11:49 AM, Julian Taylor > wrote: >> >> On 09.05.2014 12:42, David Cournapeau wrote: >> > >> > >> > >> > On Fri, May 9, 2014 at 1:51 AM, Matthew Brett > > > wrote: >> > >> >

Re: [Numpy-discussion] Possible bug in linalg.matrix_rank

2014-05-22 Thread alex
On Thu, May 22, 2014 at 1:50 PM, Darlan Cavalcante Moreira wrote: > > After updating Ubuntu to 14.04 and thus numpy to version 1.8.1 I'm > having problems with the linalg.matrix_rank function that I didn't have > before (as far as I know). > > More specifically, I get the error > "TypeError: No lo

Re: [Numpy-discussion] Can dtype be set universally?

2014-05-22 Thread Chris Barker
On Thu, May 22, 2014 at 4:57 AM, Dinesh Vadhia wrote: > In a 64-bit environment, is it possible to universally set the dtype to > 32-bit for all ints, floats etc. to avoid setting the dtype individually > for each array object and calculations? > huh? there is no 32 bit for all ints, floats, et

Re: [Numpy-discussion] NumPy C API question

2014-05-22 Thread Stefan Seefeld
Hi Nathaniel, On 2014-05-21 20:15, Nathaniel Smith wrote: > Hi Stefan, > > One possibility that comes to mind: you may want in any case some way > to temporarily "pin" an object's memory in place (e.g., to prevent one > thread trying to migrate it while some other thread is working on it). > If so

[Numpy-discussion] Possible bug in linalg.matrix_rank

2014-05-22 Thread Darlan Cavalcante Moreira
After updating Ubuntu to 14.04 and thus numpy to version 1.8.1 I'm having problems with the linalg.matrix_rank function that I didn't have before (as far as I know). More specifically, I get the error "TypeError: No loop matching the specified signature was found for ufunc svd_m" when I try to ca

[Numpy-discussion] Can dtype be set universally?

2014-05-22 Thread Dinesh Vadhia
In a 64-bit environment, is it possible to universally set the dtype to 32-bit for all ints, floats etc. to avoid setting the dtype individually for each array object and calculations? ___ NumPy-Discussion mailing list NumPy-Discussion@scipy.org http://