Hi, I just wanted to point out a situation where the scalar casting rules can be a little confusing:
In [113]: a - np.int16(128) Out[113]: array([-256, -1], dtype=int16) In [114]: a + np.int16(-128) Out[114]: array([ 0, -1], dtype=int8) This is predictable from the nice docs here: http://docs.scipy.org/doc/numpy/reference/generated/numpy.result_type.html but I offer it only as a speedbump I hit. On the other hand I didn't find it easy to predict what numpy 1.5.1 was going to do: In [31]: a - np.int16(1) Out[31]: array([127, 126], dtype=int8) In [32]: a + np.int16(-1) Out[32]: array([-129, 126], dtype=int16) As a matter of interest, what was the rule for 1.5.1? See you, Matthew _______________________________________________ NumPy-Discussion mailing list [email protected] http://mail.scipy.org/mailman/listinfo/numpy-discussion
