While there exist many possible ways to triangulate a set of points, the most common method for TINs is the Delaunay triangulation. This is because Delaunay triangulations tend to produce more regular tessellations that are better suited to interpolation. In theory, we can represent our colour palette as a TIN by computing the 3D Delaunay triangulation of the colours in colour space. The nice thing about this is that it makes finding an enclosing simplex much faster; the candidate selection process is simply a matter of determining the enclosing tetrahedron of an input point within the network using a walking algorithm, and taking the barycentric coordinates as the weights.
When a host runtime provides a byte-oriented ReadableStream from the runtime itself, for instance, as the body of a fetch Response, it is often far easier for the runtime itself to provide an optimized implementation of BYOB reads, but those still need to be capable of handling both default and BYOB reading patterns and that requirement brings with it a fair amount of complexity.
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