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np.uint64 + int == ... np.float64 ??

See original GitHub issue

Is this behavior expected?

>>> print type(np.uint32(0) + int(0))
<type 'numpy.int64'>
>>> print type(np.uint64(0) + int(0))
<type 'numpy.float64'>

The latter took me by surprise!

Issue Analytics

State:
Created 8 years ago
Comments:16 (13 by maintainers)

Top GitHub Comments

3reactions

sem-geologistcommented, Jan 31, 2016

This behaviour also buged my program. Why it couldn’t simply overrun leaving responsibility for user. Casting silently to float64 is bad… If this is “normal” behaviour, it should be at least documented in official documentation.

2reactions

NeilGirdharcommented, Jan 25, 2017

Two other solutions:

Make int64 + int return int64 and similarly uint64 + int return uint64. Wrap and warn on overflow just like it does when adding homogenous types.
Make int64 + int return a dtype of object and use Python’s int.

I prefer the first solution.

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