Vince Fulco <vfulco1 <at> gmail.com> writes:
>
> Dear Numpy Experts- I find myself working with Numpy arrays and
> wanting to access *simple* C++ functions for time series returning the
> results to Numpy. As I am a relatively new user of Python/Numpy, the
> number of paths to use in incorporating C++ code into one's scripts is
> daunting. I've attempted the Weave app but can not get past the
> examples. I've also looked at all the other choices out there such as
> Boost, SIP, PyInline, etc. Any trailheads for the simplest approach
> (assuming a very minimal understanding of C++) would be much
> appreciated. At this point, I can't release the code however for
> review. Thank you.
>
We have created a small Python module Instant (www.fenics.org/instant) on top
of SWIG, which makes integration of C/C++ and NumPy arrays easy in some cases.
Its use:
import numpy
from instant import inline_with_numpy
c_code = """
double sum (int n1, double* array1){
double tmp = 0.0;
for (int i=0; i<n1; i++) {
tmp += array1[i];
}
return tmp;
}
"""
sum_func = inline_with_numeric(c_code, arrays = [['n1', 'array1']])
a = numpy.arange(10000000); a = numpy.sin(a)
sum1 = sum_func(a)
Kent
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