On 27/01/14 12:01, Carl Kleffner wrote:
> Did you consider to check the experimental binaries on
> https://code.google.com/p/mingw-w64-static/ for Python-2.7? These
> binaries has been build with with a customized mingw-w64 toolchain.
> These builds are fully statically build and are link against t
Hey all,
recently we had a small discussion about deprecating some of the
operators for boolean arrays. This discussion seemed to have ended by
large in the consense that while most boolean operators are well defined
and should be kept, the `-` one is not very well defined on boolean
arrays an
I agree, building OpenBLAS with mingw-w64 is a snap. The problem is
choosing and adapting a mingw based gcc-toolchain and patching the numpy
sources according to this toolchain. For the last years I was a happy user
of the mingw.org based toolchain. After searching for a 64-bit alternative
I stumbl
On 30/01/14 12:01, Carl Kleffner wrote:
> My conclusion is: mixing different compiler architectures for building
> Python extensions on Windows is possible but makes it necessary to build
> a 'vendor' gcc toolchain.
Right.
This makes a nice twist on the infamous XML and Regex story:
- There onc
I fully agree with you. But you have to consider the following:
- the officially mingw-w64 toolchains are build almost the same way. The
only difference is, that they have non-static builds (that would be
preferable for C++ development BTW)
- you won't get the necessary addons like spec-files, man
Hi,
On Thu, Jan 30, 2014 at 4:29 AM, Carl Kleffner wrote:
> I fully agree with you. But you have to consider the following:
>
> - the officially mingw-w64 toolchains are build almost the same way. The
> only difference is, that they have non-static builds (that would be
> preferable for C++ devel
With GSoC 2014 being round the corner, I hereby put up few projects for
discussion that I would love to pursue as a student.
Guidance, suggestions are cordially welcome:-
1. If I am not mistaken, contour integration is not supported by SciPy; in
fact even line integrals of real functions is yet to
By the way, it seems OpenBLAS builds with clang on MacOSX, so presumably
it works on Windows as well. Unlike GNU toolchains, there is a cl-clang
frontend which is supposed to be MSVC compatible. BTW, clang is a
fantastic compiler, but little known among Windows users where MSVC and
MinGW domina
Hi all-
The following snippet appears to leak memory badly (about 10 MB per execution):
P = randint(0,2,(30,13))
for i in range(50):
print "\r", i, "/", 50
for ai in ndindex((2,)*13):
j = np.sum(P.dot(ai))
If instead you execute (no np.sum call):
P = randint(0,2,(30,13))
for i
On 26/01/14 13:44, Dinesh Vadhia wrote:> This conversation gets
discussed often with Numpy developers but since
> the requirement for optimized Blas is pretty common these days, how
> about distributing Numpy with OpenBlas by default? People who don't
> want optimized BLAS or OpenBLAS can then
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