From time to time I find myself overwriting a python buffer with the output of a ufunc, for example like this:
import array
import numpy as np
a = array.array('f', (1,1,1))
np.exp2(a, out=np.asarray(a))
assert a.tolist() == [2, 2, 2]
Here I have to wrap `out=np.asarray(a)` because the more natural `np.exp2(a,
out=a)` raises "TypeError: return arrays must be of ArrayType”
In general, ufuncs are quite aggressive in utilizing the buffer protocol for
input arguments. I was wondering, why are they so reluctant to do the same for
the output argument?
Is this a design choice? Efficiency? Legacy? Would be implementing `np.ufunc(a,
out=a)` dangerous or cumbersome?
Stefano
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