And in 2.0.0.dev8437. More hints:
Assume has shape (N, Da) and b has shape (N, Db) * There is a problem wben N >= 10000, Db=1 and Da > 1. * There is no problem when N >= 10000, Da=1 and Db > 1. * The first row is OK, but for all others, there is one error per row, appearing in first column, then last column, first, etc. Happy debugging ! David H. On Fri, May 21, 2010 at 9:22 PM, David Warde-Farley <d...@cs.toronto.edu> wrote: > Confirmed in NumPy 1.4.1, Py 2.6.5. > > David > > On Fri, 21 May 2010, James Bergstra wrote: > >> Hi all, I'm wondering if this is a bug... >> >> Something strange happens with my ufunc as soon as I use 10000 elements. As >> the test shows, the ufunc computes the correct result for either the first >> or last 9999 elements, but both at the same time is no good. >> >> Turns out I'm only running numpy 1.3.0 with Python 2.6.4... could someone >> with a more recent installation maybe check to see if this has been fixed? >> >> Thanks, >> >> def test_ufunc(): >> np = numpy >> >> rng = np.random.RandomState(2342) >> a = rng.randn(10000, 2) >> b = rng.randn(10000, 1) >> >> >> f = lambda x,y:x*y >> ufunc = np.frompyfunc(lambda *x:numpy.prod(x), 2, 1) >> >> def g(x,y): >> return np.asarray(ufunc(x,y), dtype='float64') >> >> >> assert numpy.allclose(f(a[:-1],b[:-1]), g(a[:-1],b[:-1])) >> # PASS >> assert numpy.allclose(f(a[1:],b[1:]), g(a[1:],b[1:])) # PASS >> assert numpy.allclose(f(a,b), g(a,b)) # FAIL >> >> >> -- >> http://www-etud.iro.umontreal.ca/~bergstrj >> > _______________________________________________ > 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
