[Numpy-discussion] Fixed scalar coercion model in NumPy
Mon Mar 26 15:52:28 CDT 2007
I've finally made the changes to fix the scalar coercion model problems
in NumPy 1.0.1
Now, scalar coercion rules only apply when involved types are of the
same basic "kind".
returns an int8 array
returns a float64 array.
If you want a float32 array you must use
This is actually a behavioral change which is why I asked earlier if we
should change it. However, the previous behavior was not documented
anywhere and any previous discussion on this point should have been
interpreted as the behavior now in SVN.
It's also a rare use-case and so should not create too many issues.
In running tests with NumPy and SciPy there appear to be three tests in
ndimage breaking now.
I really do want to get 1.0.2 out the door soon. What still needs to be
fixed before then?
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