What considerations formed the basis for choosing the next type promotion
behavior in numpy:
In[2] : a = np.array([10], dtype=np.int64)
b = np.array([10], dtype=np.uint64)
(a+b).dtype
Out[2]: dtype('float64')
Why the `object` dtype was not chosen for the resulting dtype? Are
there any disadvantages in this case when choosing `object` instead of
`float64`?
With kind regards,
-gdg
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