Github user davies commented on the pull request:
https://github.com/apache/spark/pull/2313#issuecomment-55634239
@mattf The only benefit we got from numpy is performance in poisson(), so
the only thing that could lose should be performance, not reproducibility, if
it fallbacks to random silently. So I think we should show an warning (say the
result may be not reproducible) when there is numpy in driver but it fallback
to random in worker. Does it make sense?
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