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BUG: issubdtype produces inconsistent result for float32 and float64 #9480

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eric-wieser opened this issue Jul 27, 2017 · 2 comments
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BUG: issubdtype produces inconsistent result for float32 and float64 #9480

eric-wieser opened this issue Jul 27, 2017 · 2 comments
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00 - Bug component: numpy._core

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@eric-wieser
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>>> np.issubdtype(np.float32, np.dtype('float64'))
True
>>> np.issubdtype(np.float32, np.float64)
False
@eric-wieser eric-wieser mentioned this issue Jul 28, 2017
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@eric-wieser
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This was seemingly broken in 325aad6.

It's not at all clear what the motivation was, since that commit contains no tests or comments

@eric-wieser eric-wieser mentioned this issue Aug 1, 2017
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But wait, there's more!

>>> np.issubdtype(int, basestring) # py2
True
>>> np.issubdtype(np.int16, int) , np.issubdtype(np.uint16, int) # int actually means signed int
(True, False)

eric-wieser added a commit to eric-wieser/numpy that referenced this issue Aug 1, 2017
@eric-wieser
BUG: dtypes are ignored and downcast in issubdtype
86f468b 
Fixes numpy#9480
eric-wieser added a commit to eric-wieser/numpy that referenced this issue Aug 6, 2017
@eric-wieser
BUG: dtypes are ignored and downcast in issubdtype
44a4b71 
Fixes numpy#9480
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