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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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services.AddSingleton();We leveraged this existing dependency injection structure to properly set up the AOT DLL build. By defining a custom IoC container and injecting it with the concrete implementations required for offline play we were able to minimize the amount of refactoring necessary to make everything work. For the previous telemetry client example, we simply inject a no-op implementation in the serverless code.
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