Oops, sorry, Keith Goodman kindly pointed out that I had missed out:
On Wed, Apr 18, 2012 at 11:03 AM, Matthew Brett matthew.br...@gmail.com wrote:
Hi,
I just wanted to point out a situation where the scalar casting rules
can be a little confusing:
In [110]: a = np.array([-128, 127], dtype=np.int8)
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?
Matthew
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