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@ -7,24 +7,18 @@ import kotlin.time.measureTime
class HierarchicalPathfinding {
/*
Next steps:
Measure maze complexity by number of steps in path
Dump results as CSV
Dump ANSI text to file for processing into image
Add command line options to run particular pathfinders, render particular pathfinder's markings
Add HPA*, should be a bit easier with existing abstractions. Hard part will be the path calculations
Use R to render syntax highlights https://github.com/KDE/syntax-highlighting/blob/master/data/syntax/kotlin.xml
https://pandoc.org/MANUAL.html#syntax-highlighting
https://hamel.dev/notes/quarto/highlighting.html
Measure primmaze2.exe during benchmarks by running from MazeFinder
https://stackoverflow.com/questions/35421699/how-to-invoke-external-command-from-within-kotlin-code
*/
companion object {
@JvmStatic
fun main(args: Array<String>) {
val benchmarking = true
val ns = arrayListOf(50, 100, 250, 500, 750, 1000)
val ns = arrayListOf(50, 100, 250, 500, 750, 1000).reversed()
val iterations = 10
val file = File("performance.csv")
file.writeText("n,path-length,prims,bfs,astar-array,astar-hashmap\n")

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