Christian Meesters wrote:
>> You didn't mention speed in your original post.
> Sorry, perhaps I considered this self-evident - which it is, of course, not.
>
>> What about using
>> array.array? Unless I am mistaken, these are just a thin wrapper
>> around normal C arrays.
> The algorithm I want to implement requires several million floating point
> operations. Neither the array-modules nor numpy's thin layer seem thin
> enough for me. ;-)
>
>> Anyway you could always convert your list
>> into a c array, do lots and lots of fast calculations, then convert it
>> back again to a list.
> I guess I am too blind to see, but I couldn't discover a method description
> like "double* PyList_toDouble". So, yes, my question is a C-API-newbie
> question: What is the way to say "myCarray = SomePyMethod(InputPyList)"? Or
> better, what should be here instead
> static PyObject *_foo(PyObject *self, PyObject *args) {
> double *v;
> if (!PyArg_Parse(args, "(d)", &v))
> return NULL;
> to get a list as an array of doubles into 'v' (and back to Python)?
>
> I did read the API-description, but still am lost at this point. I presume,
> once I get to know the answer I'll bang my head on the table ... ;-)
I haven't strictly tried this, but PyArg_ParseTuple and Py_BuildValue
seem to be the orthodox ways to do Python->C and C->Python conversions.
But if Numpy isn't fast enough, then any Python at all in the solution
might be too much. Perhaps keeping your values in a file and reading
them into the C programs will work.
Mel.
--
http://mail.python.org/mailman/listinfo/python-list
