On 04/08/2012 08:25 PM, Holger Herrlich wrote: > > That all sounds like no option -- sad. > Cython is no solution cause, all I want is to leave Python Syntax in > favor for strong OOP design patterns.
I'm sorry, I'm trying and trying to make heads and tails of this paragraph, but I don't manage to. If you could rephrase it that would be very helpful. (But I'm afraid that if you believe that C++ is more object-oriented than Python, you'll find most people disagree. Perhaps you meant that you want static typing?) Any wrapping tool (Cython, ctypes, probably SWIG but don't know) will allow you to pass the pointer to the data array, the npy_intp* shape array, and the npy_intp* strides array. Really, that's all you need. And given those three, writing a simple C++ class wrapping the arrays and allowing you to conveniently index into the array is done in 15 minutes. If you need more than that -- that is, what you want is essentially to "use NumPy from C++", which slicing and ufuncs and reductions and so on -- then you should probably look into a C++ array library (such as Eigen or Blitz++ or the array stuff in boost). Then, pass the aforementioned data and shape/stride arrays to the array library. Dag _______________________________________________ NumPy-Discussion mailing list NumPy-Discussion@scipy.org http://mail.scipy.org/mailman/listinfo/numpy-discussion
