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np.issubdtype will stop downcasting dtype-like arguments. It might be expected that issubdtype(np.float32, 'float64') and issubdtype(np.float32, np.float64) mean the same thing - however, there was an undocumented special case that translated the former into issubdtype(np.float32, np.floating), giving the surprising result of True.
This means that all the validate tests are now just meaningless for what they were testing with 'int'.
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mingwandroid commentedon Apr 29, 2018
Does anyone know anything about this failure?
Test with numpy 1.11 instead of the latest
datashape: Test with numpy 1.11 instead of the latest
kglowinski commentedon Jul 25, 2018
It has to do with changes in numpy in 1.14.0+: https://github.com/numpy/numpy/blob/master/doc/release/1.14.0-notes.rst#future-changes
In particular:
This means that all the
validatetests are now just meaningless for what they were testing with'int'.