We’ve looked at how we can geometrically find the linear combination using barycentric coordinates, but it is not the only way to do so. Natural neighbour interpolation works by observing what happens when an input point is inserted into a set of points represented by a Voronoi diagram. The Voronoi diagram is simply a partition of space into polygonal regions for each data point, such that any point inside a given region is proximal to its corresponding data point.
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Yet in practice, it sometimes turns out that a setup of some complex scenarios, especially corner cases, takes too much effort/code. Or there are algorithms that, for the time being, are used only with limited parameters, but we should exercise the whole implementation in tests. There might be a similar situation with complex Value Objects. In such cases it’s worthwhile to go one level below Sociable Unit Tests and create a suite of Overlapping Unit Tests.
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