Pauli Virtanen <p...@iki.fi> writes: > pe, 2010-06-18 kello 12:49 +0200, Berthold Hoellmann kirjoitti: > [clip] >> tst.inttestfunc(np.array((1,2),dtype=np.int)) >> tst.inttestfunc(np.array((1,2),dtype=np.int8)) >> tst.inttestfunc(np.array((1,2),dtype=np.int16)) >> tst.inttestfunc(np.array((1,2),dtype=np.int32)) >> tst.inttestfunc(np.array((1,2),dtype=np.int64)) >> >> h...@pc090498 ~/pytest $ PYTHONPATH=build/lib.win32-2.5/ python xx.py >> 1.4.1 ['C:\\Python25\\lib\\site-packages\\numpy'] >> PyArray_TYPE(array): 7; NPY_INT: 5 >> NPY_INT not found >> PyArray_TYPE(array): 1; NPY_INT: 5 >> NPY_INT not found >> PyArray_TYPE(array): 3; NPY_INT: 5 >> NPY_INT not found >> PyArray_TYPE(array): 7; NPY_INT: 5 >> NPY_INT not found >> PyArray_TYPE(array): 9; NPY_INT: 5 >> NPY_INT not found >> >> NPY_INT32 is 7, but shouldn't NPY_INT correspond to numpy.int. And what >> kind of int is NPY_INT in this case? > > I think the explanation is the following: > > - NPY_INT is a virtual type that is either int32 or int64, depending on > the native platform size. > > - It has its own type code, distinct from NPY_SHORT (= 3 = int32) and > NPY_LONG (= 7 = int64). > > - But the type specifier is replaced either by NPY_SHORT or NPY_LONG > on array creation, so no array is of this dtype. > > Pauli
The documentation (i refere to NumPy User Guide, Release 1.5.0.dev8106) claims that numpy.int is platform int and that "NPY_INT" is a C based name, thus referring to int also. So if I want to use "int" platform independent in my extension module, what do I do to check whether the correct data is proivided. I want to avoid one of the casting routines, such as "PyArray_FROM_OTF" or "PyArray_FromAny"? Do I have to use "PyArray_ITEMSIZE"? But "PyArray_ITEMSIZE" indicates that "numpy.int" are not platform integers. It returns "8" on Linux64, where "sizeof(int)==4". So is this a bug in 1.4.1, in the 1.5 beta documentation or a misunderstanding on my side? Kind regards Berthold Höllmann -- Germanischer Lloyd AG Berthold Höllmann Project Engineer, CAE Development Brooktorkai 18 20457 Hamburg Germany Phone: +49(0)40 36149-7374 Fax: +49(0)40 36149-7320 e-mail: berthold.hoellm...@gl-group.com Internet: http://www.gl-group.com _______________________________________________ NumPy-Discussion mailing list NumPy-Discussion@scipy.org http://mail.scipy.org/mailman/listinfo/numpy-discussion