Many visualization routines have mostly smoke tests. We should also add some regression tests - maybe something based on computing the hash of rounded data? Or computing an error of an interpolated solution compared to evaluating the solution directly on the nodes?
Many visualization routines have mostly smoke tests. We should also add some regression tests - maybe something based on computing the hash of rounded data? Or computing an error of an interpolated solution compared to evaluating the solution directly on the nodes?