On Wed, Mar 31, 2010 at 10:30 AM, T J <tjhn...@gmail.com> wrote: > Hi, > > I'm getting some strange behavior with logaddexp2.reduce: > > from itertools import permutations > import numpy as np > x = np.array([-53.584962500721154, -1.5849625007211563, -0.5849625007211563]) > for p in permutations([0,1,2]): > print p, np.logaddexp2.reduce(x[list(p)]) > > Essentially, the result depends on the order of the array...and we get > nans in the "bad" orders. Likely, this also affects logaddexp. >
Sorry, forgot version information: $ python -c "import numpy;print numpy.__version__" 1.5.0.dev8106 _______________________________________________ NumPy-Discussion mailing list NumPy-Discussion@scipy.org http://mail.scipy.org/mailman/listinfo/numpy-discussion
