Approximately 51% of my dissertation model’s runtime is spent sampling via numpy’s MT19937 RandomState. Kinda makes any optimization feel pointless.
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It’s annoyingly fiddly to answer that question in practice so yeah just suck it up and sleep soundly at night :)
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