On Tue, Sep 29, 2009 at 14:08, Charles R Harris <charlesr.har...@gmail.com> wrote: > > > On Tue, Sep 29, 2009 at 12:48 PM, Robert Kern <robert.k...@gmail.com> wrote: >> >> On Tue, Sep 29, 2009 at 13:35, Charles R Harris >> <charlesr.har...@gmail.com> wrote: >> > >> > On Tue, Sep 29, 2009 at 12:23 PM, Robert Kern <robert.k...@gmail.com> >> > wrote: >> >> >> >> On Tue, Sep 29, 2009 at 13:09, Charles R Harris >> >> <charlesr.har...@gmail.com> wrote: >> >> > >> >> > >> >> > On Tue, Sep 29, 2009 at 11:00 AM, Neal Becker <ndbeck...@gmail.com> >> >> > wrote: >> >> >> >> >> >> fixed_pt arrays need to apply the overflow_policy after operations >> >> >> (overflow_policy could be clip, or throw exception). >> >> >> >> >> >> I thought __array_wrap__ would work for this, but it seems to not be >> >> >> called >> >> >> when I need it. For example: >> >> >> >> >> >> In [13]: obj >> >> >> Out[13]: fixed_pt_array([ 0, 32, 64, 96, 128]) >> >> >> >> >> >> In [14]: obj*100 < this should overflow >> >> >> enter: [ 0 32 64 96 128] << on entry into __array_wrap >> >> >> enter: [0 32 64 96 128] >> >> >> exit: [ 0 32 64 96 128] >> >> >> Out[14]: fixed_pt_array([ 0, 3200, 6400, 9600, 12800]) >> >> >> >> >> >> Apparantly, obj*100 is never passed to array_wrap. >> >> >> >> >> >> Is there another way I can do this? >> >> >> >> >> > I believe array wrap has to be explicitly called after the fact. >> >> >> >> Ufuncs call __array_wrap__ implicitly. >> >> >> > >> > Thanks for the info. How do they decide which one to call? >> >> The .__array_priority__ attribute. > > What if they are the same?
http://docs.scipy.org/doc/numpy/user/c-info.beyond-basics.html?highlight=__array_priority__#ndarray.__array_priority__ -- 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 http://mail.scipy.org/mailman/listinfo/numpy-discussion
