On Sun, 09 Oct 2016, Rebecca N. Palmer wrote:
> The tests in question are checking that numexpr and numpy give the same
> answers (by default, pandas uses numexpr if available for large arrays but
> numpy for small ones), and require integers to match exactly. The failing
> values are all 15**15
The tests in question are checking that numexpr and numpy give the same
answers (by default, pandas uses numexpr if available for large arrays
but numpy for small ones), and require integers to match exactly. The
failing values are all 15**15, which is 437893890380859375 in exact
arithmetic bu
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