I'm trying to wrap some C code using cython. The C code can take
inputs in two modes: dense inputs and sparse inputs. For dense inputs
the array indexing is naive. I have wrappers for that. In the sparse
case the matrix entries are typically indexed via names. So, for
example, the library documentation includes this as input you could
give:
struct
{
char* ind;
double val, wght;
} data[] = { {"camera", 15, 2}, {"necklace", 100, 20}, {"vase", 90, 20},
{"pictures", 60, 30}, {"tv", 40, 40}, {"video", 15, 30}};
At the C level, data is passed to the function by directly giving its
address. (i.e. the C function takes as an argument (unsigned long)
data, casting the data pointer to an int)
I'd like to create something similar using record arrays, such as
np.array([("camera", 15, 2), ("necklace", 100, 20), ... ],
dtype='object,f8,f8').
Unfortunately this fails because
(1) In cython I need to determine the address of the first element and
I can't take the address of a an input whose type I don't know (the
exact type will vary on the application, so more or fewer fields may
be in the C struct)
(2) I don't think a python object type is what I want--I need a char*
representation of the string. (Unfortunately I can't test this because
I haven't solved (1) -- how do you pass a record array around in
cython and/or take its address?)
Any suggestions?
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