Dodrio was perfect for this because it computed all the required DOM modifications separately from actually applying them. This allowed us to precisely measure the impact of JS glue code by swapping out the “apply DOM change list” function while keeping the rest of the benchmark exactly the same.
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Crucially, this distribution of border points is agnostic of routing speed profiles. It’s based only on whether a road is passable or not. This means the same set of clusters and border points can be used for all car routing profiles (default, shortest, fuel-efficient) and all bicycle profiles (default, prefer flat terrain, etc.). Only the travel time/cost values of the shortcuts between these points change based on the profile. This is a massive factor in keeping storage down – map data only increased by about 0.5% per profile to store this HH-Routing structure!