Now that we can build the tree, let's use it to search. Finding a specific point means starting at the root and asking: which child quadrant contains this coordinate? Then you recurse into that child and ask again. Each level of the tree cuts the search space by roughly three-quarters.
train: 440 random patterns; test: geometric shapes / letters
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If the value type is T, why is the state type a union of T | null? More on that in a bit! ↩