main_solution4/knight2.scala
author Christian Urban <christian.urban@kcl.ac.uk>
Mon, 07 Dec 2020 01:25:41 +0000
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// Part 4 about finding a single tour using the Warnsdorf Rule
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//=============================================================
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object CW9b { // for preparing the jar
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type Pos = (Int, Int)
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type Path = List[Pos]
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// for measuring time in the JAR
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def time_needed[T](code: => T) : T = {
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  val start = System.nanoTime()
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  val result = code
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  val end = System.nanoTime()
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  println(f"Time needed: ${(end - start) / 1.0e9}%3.3f secs.")
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  result
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}
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def print_board(dim: Int, path: Path): Unit = {
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  println()
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  for (i <- 0 until dim) {
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    for (j <- 0 until dim) {
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      print(f"${path.reverse.indexOf((i, j))}%4.0f ")
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    }
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    println()
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  } 
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}
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def add_pair(x: Pos, y: Pos): Pos = 
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  (x._1 + y._1, x._2 + y._2)
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def is_legal(dim: Int, path: Path, x: Pos): Boolean = 
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  0 <= x._1 && 0 <= x._2 && x._1 < dim && x._2 < dim && !path.contains(x)
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def moves(x: Pos): List[Pos] = 
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  List(( 1,  2),( 2,  1),( 2, -1),( 1, -2),
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       (-1, -2),(-2, -1),(-2,  1),(-1,  2)).map(add_pair(x, _))
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def legal_moves(dim: Int, path: Path, x: Pos): List[Pos] = 
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  moves(x).filter(is_legal(dim, path, _))
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def ordered_moves(dim: Int, path: Path, x: Pos): List[Pos] = 
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  legal_moves(dim, path, x).sortBy((x) => legal_moves(dim, path, x).length)
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import scala.annotation.tailrec
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@tailrec
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def first(xs: List[Pos], f: Pos => Option[Path]): Option[Path] = xs match {
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  case Nil => None
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  case x::xs => {
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    val result = f(x)
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    if (result.isDefined) result else first(xs, f)
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  }
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}
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def tfirst_closed_tour_heuristics(dim: Int, path: Path): Option[Path] = {
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  if (path.length == dim * dim && moves(path.head).contains(path.last)) Some(path)
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  else
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    first(ordered_moves(dim, path, path.head), (x: Pos) => tfirst_closed_tour_heuristics(dim, x::path))
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}
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def first_closed_tour_heuristics(dim: Int, path: Path) =
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 time_needed(tfirst_closed_tour_heuristics(dim: Int, path: Path))
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def first_closed_tour_heuristic(dim: Int, path: Path) =
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 time_needed(tfirst_closed_tour_heuristics(dim: Int, path: Path))
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// heuristic cannot be used to search for closed tours on 7 x 7 an beyond
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//for (dim <- 1 to 6) {
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//  val t = time_needed(0, first_closed_tour_heuristics(dim, List((dim / 2, dim / 2))))
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//  println(s"${dim} x ${dim} closed: " + (if (t == None) "" else { print_board(dim, t.get) ; "" }))
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//}
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def tfirst_tour_heuristics(dim: Int, path: Path): Option[Path] = {
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  if (path.length == dim * dim) Some(path)
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  else
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    first(ordered_moves(dim, path, path.head), (x: Pos) => tfirst_tour_heuristics(dim, x::path))
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}
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def first_tour_heuristics(dim: Int, path: Path) = 
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  time_needed(tfirst_tour_heuristics(dim: Int, path: Path))
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def first_tour_heuristic(dim: Int, path: Path) = 
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  time_needed(tfirst_tour_heuristics(dim: Int, path: Path))
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// will be called with boards up to 30 x 30
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}