New submission from benma <[email protected]>:
Hi
a = np.array([1,2,3], dtype=np.int16)
# outputs dtype('int64') instead of dtype('int16')
print (a*2).dtype
Same thing happens with floats. dtype is resetted to the default dtype, 64 bits
on my machine. numpy on CPython keeps the original dtype.
I ran into this bug when I used (a*2) as an input to a C function and the size
(in bytes) of each element doubled.
Best, Marko
----------
messages: 6143
nosy: benma, pypy-issue
priority: bug
release: 2.1
status: unread
title: Multiplication of np.ndarray with a Python int or float results in loss
of dtype
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<https://bugs.pypy.org/issue1598>
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