I'm interested in the ndarray http://code.google.com/p/ndarray package.
I still need to figure out how to get it to compile against my customized boost
installation in a non-standard location.
Unfortunately, trying to build the 'test' results in ICE in
gcc-4.5.1-4.fc14.x86_64 (reported upstream)
g++ -o boost.python/ndarray/libs/python/ndarray/test/ndarray_mod.os -c -O2 -fno-
strict-aliasing -g -pipe -Wall -fexceptions -fstack-protector --param=ssp-
buffer-size=4 -m64 -mtune=generic -fPIC -fwrapv -fPIC -Wp,-D_FORTIFY_SOURCE=2 -
DNDEBUG -D_GNU_SOURCE -Iinclude -I/usr/include/python2.7 -
I/usr/lib64/python2.7/site-packages/numpy/core/include -I/usr/include/eigen2
boost.python/ndarray/libs/python/ndarray/test/ndarray_mod.cpp -I include
In file included from include/ndarray/ArrayTraits.hpp:11:0,
from include/ndarray/Array.hpp:11,
from include/ndarray.hpp:9,
from include/boost/python/ndarray/Array.hpp:5,
from include/boost/python/ndarray/ndarray.hpp:4,
from
boost.python/ndarray/libs/python/ndarray/test/ndarray_mod.cpp:1:
include/ndarray/ExpressionTraits.hpp: In instantiation of
‘ndarray::ExpressionTraits<ndarray::detail::BinaryOpExpression<ndarray::Array<double,
1, 1>, ndarray::Array<double, 1, 1>,
ndarray::detail::EqualToTag::ScalarFunction<double, double>, 1> >’:
include/ndarray/ExpressionBase.hpp:33:57: instantiated from
‘ndarray::ExpressionBase<ndarray::detail::BinaryOpExpression<ndarray::Array<double,
1, 1>, ndarray::Array<double, 1, 1>,
ndarray::detail::EqualToTag::ScalarFunction<double, double>, 1> >’
include/ndarray/detail/BinaryOp.hpp:81:108: instantiated from
‘ndarray::detail::BinaryOpExpression<ndarray::Array<double, 1, 1>,
ndarray::Array<double, 1, 1>,
ndarray::detail::EqualToTag::ScalarFunction<double, double>, 1>’
boost.python/ndarray/libs/python/ndarray/test/ndarray_mod.cpp:44:36:
instantiated from ‘bool acceptArray(const ndarray::Array<T, N, C>&) [with T =
double, int N = 1, int C = 1]’
boost.python/ndarray/libs/python/ndarray/test/ndarray_mod.cpp:125:66:
instantiated from here
include/ndarray/ExpressionTraits.hpp:88:165: internal compiler error:
Segmentation fault
Jim Bosch wrote:
> On 01/03/2011 01:44 PM, Ralf W. Grosse-Kunstleve wrote:
>> ----- Original Message ----
>>
>>> From: Neal Becker<ndbeck...@gmail.com>
>>> To: cplusplus-sig@python.org
>>> Sent: Mon, January 3, 2011 12:31:36 PM
>>> Subject: [C++-sig] Status of Numpy support in boost python - II
>>>
>>> I was just re-reading these posts: Status of Numpy support in boost python
>>> http://web.archiveorange.com/archive/v/YJlerznoeRShLhlurQzC
>>>
>>> I wonder if there are any updates?
>
> My low-level numpy library (basically a Boost.Python wrapper for the
> Numpy C-API) has received slow but steady updates. This is similar to
> the built-in Boost.Python numpy support, with a few extra features:
> - Raw-pointer access to Numpy arrays.
> - Constructing Numpy arrays from raw C++ pointers.
> - A C++ dtype object.
> - Tools to wrap C++ functors to behave like broadcasting numpy
> universal functions.
>
> This can be found in the boost sandbox:
>
> https://svn.boost.org/svn/boost/sandbox/numpy
>
>
>
> I have also built Boost.Python converters for my own ndarray library
> (see below) and Eigen 2. Right now the build system (scons-based) is
> tailored to my own needs, but it should be pretty easy for others to
> tweak as needed. Feel free to email me if you need help.
>
> I've included all of those in the ndarray package, though it should be
> possible to separate out the eigen bits and not use ndarray if you'd
> like. All that's here:
>
> http://code.google.com/p/ndarray/
>
>>>
>>> Is ndarray working with current (1.45.0) boost?
>
> Probably. I haven't tested 1.45, I compiled recently on 1.44. I have
> been doing most of my work using 1.40, but I don't think anything has
> changed in Boost.Python since then that would affect ndarray.
>
>>
>> Boost.Python's existing numpy array support has been working all the time. It
>> sounds like you are expecting new functionality. Could you be more specific?
>>
>
> <what Stefan Seefeld said>
>
> I think the low-level API I have in the sandbox fits this need, or at
> least provides some of the basics. I'd love to see that morph into
> something that we can all use to connect numpy to the C++ template
> library of our choice, since we'll all never agreed on those.
>
> Jim
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