08.03.2012 17:37, Christoph Gohle kirjoitti:
> thanks for testing. I have now tried on different platforms. I get
> all kinds of crashes on os x (now with numpy 1.6.1) and windows
> with numpy 1.6.0. On Ubuntu with numpy 1.3.0 I get a hughe memory
> leak...
>
> Any hints would be welcome.
The type object inherits `tp_alloc` from Numpy. This routine always
allocates memory of size NPY_SIZEOF_PYARRAYOBJECT for the
PyArrayObject. Therefore, the write to new->unit in your
__array_finalize__ goes to unallocated memory.
This is probably a bug in Numpy --- arrayobject.c:array_alloc should
respect the size specified by the subtype.
A workaround is probably to specify a suitable tp_alloc routine yourself:
PyType_GenericAlloc, /* tp_alloc */
unitArray_new, /* tp_new */
_PyObject_Del /* tp_free */
--
Pauli Virtanen
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