Ah, that is maybe the idea:
if (_import_array() < 0) {
/* Clear the error state since we are handling the error. */
PyErr_Clear();
/* ... set up for the sans-numpy case. */
}
else {
/* ... set up for the with-numpy case. */
}
I did not call PyErr_Clear() when _import_array() < 0 and the error is
probably still hanging and then given later.
I will try this this evening.
Thank you for the hints.
Peter
On Wed, Feb 3, 2010 at 4:22 PM, Robert Kern <robert.k...@gmail.com> wrote:
> On Wed, Feb 3, 2010 at 03:41, David Cournapeau <courn...@gmail.com> wrote:
> > On Wed, Feb 3, 2010 at 5:38 PM, Peter Notebaert <p...@telenet.be> wrote:
> >> >From an extension? How to import numpy from there and then test if that
> >> succeeded and that without any annoying message if possible...
> >
> > One obvious solution would be to simply call PyImport_Import, something
> like:
> >
> > #include <Python.h>
> >
> > PyMODINIT_FUNC initfoo(void)
> > {
> > PyObject *m, *mod;
> >
> > m = Py_InitModule("foo", NULL);
> > if (m == NULL) {
> > return;
> > }
> >
> > mod = PyImport_ImportModule("numpy");
> > if (mod == NULL) {
> > return;
> > }
> > Py_DECREF(mod);
>
> Or rather, to recover from the failed import as the OP wants to do:
>
> mod = PyImport_ImportModule("numpy");
> if (mod == NULL) {
> /* Clear the error state since we are handling the error. */
> PyErr_Clear();
> /* ... set up for the sans-numpy case. */
> }
> else {
> Py_DECREF(mod);
> import_array();
> /* ... set up for the with-numpy case. */
> }
>
> --
> Robert Kern
>
> "I have come to believe that the whole world is an enigma, a harmless
> enigma that is made terrible by our own mad attempt to interpret it as
> though it had an underlying truth."
> -- Umberto Eco
> _______________________________________________
> NumPy-Discussion mailing list
> NumPy-Discussion@scipy.org
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>
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