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Should NaN's display as errors? #8

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@penelopeysm

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@penelopeysm

Some of the FiniteDifferences 'wrong' entries are not really numerically wrong, but rather NaN's.

It appears to me that it would be fairer to mark NaN as 'error' rather than 'wrong', since attempting to use this in sampling will fail (rather than proceeding silently with the wrong result, which is the scenario we really want to be careful about).

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