Re: [Numpy-discussion] [Pythonmac-SIG] Building extension modules with Xcode 5

2013-10-25 Thread Chris Barker - NOAA Federal
Oops! Wrong list--darn auto complete! Sorry about that, Chris On Oct 25, 2013, at 5:08 PM, Chris Barker wrote: Ned, I think this fell off the list (I really don't like when reply is not set to the list...) On Fri, Oct 25, 2013 at 4:33 PM, Ned Deily wrote: > > On Oct 25, 2013, at 15:17 , C

Re: [Numpy-discussion] [Pythonmac-SIG] Building extension modules with Xcode 5

2013-10-25 Thread Chris Barker
Ned, I think this fell off the list (I really don't like when reply is not set to the list...) On Fri, Oct 25, 2013 at 4:33 PM, Ned Deily wrote: > > On Oct 25, 2013, at 15:17 , Chris Barker wrote: > > > On Thu, Oct 24, 2013 at 7:29 PM, Ned Deily wrote: > > I'm really confused here. Using th

Re: [Numpy-discussion] vectorizing recursive sequences

2013-10-25 Thread Pierre Haessig
"Jaime Fernández del Río" a écrit : >I recently came up with a way of vectorizing some recursive sequence >calculations. While it works, I am afraid it is relying on >implementation >details potentially subject to change. The basic idea is illustrated by >this function, calculating the first n it

[Numpy-discussion] vectorizing recursive sequences

2013-10-25 Thread Jaime Fernández del Río
I recently came up with a way of vectorizing some recursive sequence calculations. While it works, I am afraid it is relying on implementation details potentially subject to change. The basic idea is illustrated by this function, calculating the first n items of the Fibonacci sequence: def fibonac

Re: [Numpy-discussion] NumPy 1.8.0rc2 release

2013-10-25 Thread Andrew Straw
Yeah, sorry for the confusion. I thought my email didn't go through. I created a bug report on github instead. Now I find the email was indeed sent. Sorry about that. Looking at the github activity (see https://github.com/numpy/numpy/issues/3977 ), I think a fix is almost at hand thanks to Julian T

Re: [Numpy-discussion] NumPy 1.8.0rc2 release

2013-10-25 Thread Nathaniel Smith
It's py3 only, see the discussion in #3977. On 25 Oct 2013 17:45, "Charles R Harris" wrote: > > > > On Fri, Oct 25, 2013 at 7:07 AM, Andrew Straw > wrote: > >> Hi, >> >> I found an unexpected difference from numpy 1.7.1 and 1.8.0rc2 with >> Python 3.3.2 on Ubuntu 12.04 (amd64). Here is the test

Re: [Numpy-discussion] NumPy 1.8.0rc2 release

2013-10-25 Thread Charles R Harris
On Fri, Oct 25, 2013 at 7:07 AM, Andrew Straw wrote: > Hi, > > I found an unexpected difference from numpy 1.7.1 and 1.8.0rc2 with Python > 3.3.2 on Ubuntu 12.04 (amd64). Here is the test program: > > import numpy as np > print(np.__version__) > K = np.array([[ 0., 0., 0.

Re: [Numpy-discussion] ANN: SciPy 0.13.0 release

2013-10-25 Thread Matthew Brett
Hi, On Sat, Oct 19, 2013 at 2:40 PM, Ralf Gommers wrote: > On behalf of the SciPy development team I'm pleased to announce the > availability of SciPy 0.13.0. This release contains some interesting new > features (see highlights below) and half a year's worth of maintenance work. > 65 people cont

Re: [Numpy-discussion] NumPy 1.8.0rc2 release

2013-10-25 Thread alex
On Fri, Oct 25, 2013 at 9:07 AM, Andrew Straw wrote: > > Hi, > > I found an unexpected difference from numpy 1.7.1 and 1.8.0rc2 with Python 3.3.2 on Ubuntu 12.04 (amd64). Here is the test program: > > import numpy as np > print(np.__version__) > K = np.array([[ 0., 0., 0.

Re: [Numpy-discussion] NumPy 1.8.0rc2 release

2013-10-25 Thread Andrew Straw
Hi, I found an unexpected difference from numpy 1.7.1 and 1.8.0rc2 with Python 3.3.2 on Ubuntu 12.04 (amd64). Here is the test program: import numpy as np print(np.__version__) K = np.array([[ 0., 0., 0., 0.], [-0., 0., 0.