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Under the hood, BPattern builds a pattern AST using the same pattern node classes as the rewrite engine. All the original matching and rewriting machinery is still there — just wrapped in a more approachable, scriptable interface.

The N-closest or N-best dithering algorithm is a straightforward solution to the N-candidate problem. As the name suggests, the set of candidates is given by the closest palette colours to the input pixel. To determine their weights, we simply take the inverse of the distance to the input pixel. This is essentially the inverse distance weighting (IDW) method for multivariate interpolation, also known as Shepard’s method. The following pseudocode sketches out a possible implementation:

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