Fixes #695
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Fixes #695
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Previous code used numpy.unique with a floating point value to remove duplicate bins from different ranks. This led to several zero-width bins and thus NaNs in the averaged k values. Replace this by using the proper integerised duplicate value finder already in the code for local de-duplication after gathering from all ranks. I'm not sure how this worked before.
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Small fixes