[Numpy-discussion] 16bit Integer Array/Scalar Inconsistency

Hi, I ran into this while debugging a script today: In [1]: import numpy as N In [2]: N.__version__ Out[2]: '1.0.3' In [3]: d = N.array([32767], dtype=N.int16) In [4]: d + 32767 Out[4]: array([-2], dtype=int16) In [5]: d[0] + 32767 Out[5]: 65534 In [6]: type(d[0] + 32767) Out[6]: type

Re: [Numpy-discussion] 16bit Integer Array/Scalar Inconsistency

Ryan May wrote: Hi, I ran into this while debugging a script today: In [1]: import numpy as N In [2]: N.__version__ Out[2]: '1.0.3' In [3]: d = N.array([32767], dtype=N.int16) In [4]: d + 32767 Out[4]: array([-2], dtype=int16) In [5]: d[0] + 32767 Out[5]: 65534 In [6]: