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Benchmarking this is tricky, but we ran an experiment in 2020 to precisely measure the overhead that JS glue code has in a real world DOM application. We built the classic TodoMVC benchmark in the experimental Dodrio Rust framework and measured different ways of calling DOM APIs.
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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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