Hi On Tue, Oct 11, 2011 at 3:16 PM, Charles R Harris <charlesr.har...@gmail.com> wrote: > > > On Tue, Oct 11, 2011 at 12:23 PM, Matthew Brett <matthew.br...@gmail.com> > wrote: >> >> Hi, >> >> I recently ran into this: >> >> In [68]: arr = np.array(-128, np.int8) >> >> In [69]: arr >> Out[69]: array(-128, dtype=int8) >> >> In [70]: np.abs(arr) >> Out[70]: -128 >> > > This has come up for discussion before, but no consensus was ever reached. > One solution is for abs to return an unsigned type, but then combining that > with signed type of the same number of bits will cause both to be cast to > higher precision. IIRC, matlab was said to return +127 as abs(-128), which, > if true, is quite curious.
octave-3.2.3:1> a = int8([-128, 127]) a = -128 127 octave-3.2.3:2> abs(a) ans = 127 127 Matlab is the same. That is curious... See you, Matthew _______________________________________________ NumPy-Discussion mailing list NumPy-Discussion@scipy.org http://mail.scipy.org/mailman/listinfo/numpy-discussion
