[Numpy-discussion] numpy type mismatch
Benjamin Root
ben.root@ou....
Fri Jun 10 14:50:32 CDT 2011
Came across an odd error while using numpy master. Note, my system is
32-bits.
>>> import numpy as np
>>> type(np.sum([1, 2, 3], dtype=np.int32)) == np.int32
False
>>> type(np.sum([1, 2, 3], dtype=np.int64)) == np.int64
True
>>> type(np.sum([1, 2, 3], dtype=np.float32)) == np.float32
True
>>> type(np.sum([1, 2, 3], dtype=np.float64)) == np.float64
True
So, only the summation performed with a np.int32 accumulator results in a
type that doesn't match the expected type. Now, for even more strangeness:
>>> type(np.sum([1, 2, 3], dtype=np.int32))
<type 'numpy.int32'>
>>> hex(id(type(np.sum([1, 2, 3], dtype=np.int32))))
'0x9599a0'
>>> hex(id(np.int32))
'0x959a80'
So, the type from the sum() reports itself as a numpy int, but its memory
address is different from the memory address for np.int32.
Weirdness...
Ben Root
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