Hi all,
I've spent the day writing a Numpy format handler in Cython and thought
there were a few things that the Cython numpy tutorial possibly should
cover:
* Numpy dtype references appear to be normally "borrowed" references
in the C API, so when you call numpy array functions that take a
dtype you need to Py_INCREF the dtype first, this will show up as
complaints from numpy that you're trying to delete the dtype objects
* You have to call import_array() in your module or many of the
Numpy C API entry points will segfault
for the first issue:
cdef extern from "Python.h":
cdef void Py_INCREF( object )
...
Py_INCREF( typecode )
return PyArray_Zeros( c_dims.shape[0],
<np.Py_intptr_t>c_dims.data, typecode, 0 )
for the second issue:
cdef extern from "numpy/arrayobject.h":
cdef void import_array()
...
import_array()
Anyway, not sure if or where such changes should go, but just thought it
might help others.
Enjoy,
Mike
--
________________________________________________
Mike C. Fletcher
Designer, VR Plumber, Coder
http://www.vrplumber.com
http://blog.vrplumber.com
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