On Fri, 2013-05-10 at 15:35 -0400, Frédéric Bastien wrote: > I'm trying to do it, but each time I want to test something, it takes > a long time to rebuild numpy to test it. Is there a way to don't > recompile everything for each test? > Are you using current master? It defaults to use ENABLE_SEPARATE_COMPILATION enviroment variable, which, together with ccache, makes most changes in numpy compile fast for me.
- Sebastian > thanks > > Fred > > > > On Fri, May 10, 2013 at 1:34 PM, Charles R Harris > <charlesr.har...@gmail.com> wrote: > > > On Fri, May 10, 2013 at 10:08 AM, Frédéric Bastien > <no...@nouiz.org> wrote: > Hi, > > > it popped again on the Theano mailing list that this > don't work: > > > np.arange(10) <= a_theano_vector. > > > The reason is that __array_priority__ isn't respected > for that class of operation. > > > > This page explain the problem and give a work around: > > > > http://stackoverflow.com/questions/14619449/how-can-i-override-comparisons-between-numpys-ndarray-and-my-type > > > The work around is to make a python function that will > decide witch version of the comparator to call and do > the call. Then we tell NumPy to use that function > instead of its current function with: > np.set_numeric_ops(...) > > But if we do that, when we import theano, we will slow > down all normal numpy comparison for the user, as when > <= is execute, first there will be numpy c code > executed, that will call the python function to decide > witch version to do, then if it is 2 numpy ndarray, it > will call again numpy c code. > > > That isn't a good solution. We could do the same > override in C, but then theano work the same when > there isn't a c++ compiler. That isn't nice. > > > What do you think of changing them to check for > __array_priority__ before doing the comparison? > > This looks like an oversight and should be fixed. > > Chuck > > > _______________________________________________ > NumPy-Discussion mailing list > NumPy-Discussion@scipy.org > http://mail.scipy.org/mailman/listinfo/numpy-discussion > > > > _______________________________________________ > NumPy-Discussion mailing list > NumPy-Discussion@scipy.org > http://mail.scipy.org/mailman/listinfo/numpy-discussion _______________________________________________ NumPy-Discussion mailing list NumPy-Discussion@scipy.org http://mail.scipy.org/mailman/listinfo/numpy-discussion