[Numpy-discussion] Bug in logaddexp2.reduce
Wed Mar 31 12:38:46 CDT 2010
On Wed, Mar 31, 2010 at 10:30 AM, T J <firstname.lastname@example.org> wrote:
> 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__"
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