For all the examples below, assume that I've created a 1x1 array, mxArr, with my custom type.
The interface used by Array_FromPyScalar does not conform with the documentation's claim that a negative return value indicates an error. The return code from setitem is not checked. Instead, the code depends on a Python error being set.
I seem to be able to load values into the array, but I can't extract anything out of the array, even to print it. In gdb I've verified that loading DateTime.now() correctly puts a float representation of the date into my array. However, if I try to get the value out, I get an error:
>>> mxArr[0] = DateTime.now()
>>> mxArr[0]
Traceback (most recent call last):
File "<stdin>", line 1, in ?
File "/usr/lib/python2.4/site-packages/numpy/core/numeric.py", line 391, in array_repr
', ', "array(")
File "/usr/lib/python2.4/site-packages/numpy/core/arrayprint.py", line 204, in array2string
separator, prefix)
File "/usr/lib/python2.4/site-packages/numpy/core/arrayprint.py", line 160, in _array2string
format = _floatFormat(data, precision, suppress_small)
File "/usr/lib/python2.4/site-packages/numpy/core/arrayprint.py", line 281, in _floatFormat
non_zero = _uf.absolute(data.compress(_uf.not_equal(data, 0)))
TypeError: bad operand type for abs()
I'm not sure why it's trying to call abs() on my object to print it. I have a separate PyNumberMethods attached to my object type, copied from the float scalar type, and nb_absolute is set to 0. When I break at the various functions I've registered, the last thing Numpy tries to do is cast my custom data type to an object type (which it does so successfully) via _broadcast_cast.
Thanks,
Jonathan
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