A Monday 24 January 2011 18:47:58 John Salvatier escrigué: > Hello, > > I have discovered a strange bug with numexpr. numexpr.evaluate gives > randomized results on arrays larger than 2047 elements. The following > program demonstrates this: > > from numpy import * > from numexpr import evaluate > > def func(x): > > return evaluate("sum(x, axis = 0)") > > > x = zeros(2048)+.01 > > print evaluate("sum(x, axis = 0)") > print evaluate("sum(x, axis = 0)") > > For me this prints different results each time, for example: > > 11.67 > 14.84 > > If we set the size to 2047 I get consistent results. > > 20.47 > 20.47 > > Interestingly, if I do not add .01 to x, it consistently sums to 0.
I'm about to release Numexpr 1.4.2 that should fix this. Could you give it a try at the tarball in?: python setup.py sdist Thanks, -- Francesc Alted _______________________________________________ NumPy-Discussion mailing list NumPy-Discussion@scipy.org http://mail.scipy.org/mailman/listinfo/numpy-discussion