Comments (1)
It looks like you hit the limits of current numpy support. Actually it's good that you found such a concise workaround. I wasn't aware of this specific limit but note that JyNI is still experimental and numpy support is incomplete in manifold ways (e.g. buffer protocol, random module). Use with care!
As of this writing I cannot tell when I will be able to resume work on JyNI, so your best bet is just to stick with your workaround using [2]
in stead of 2
. You are lucky that such an easy workaround does the trick.
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Related Issues (20)
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