2020-01-15 20:49:01 +00:00
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package soko
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import (
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"sort"
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)
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type PathFinder struct {
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state *State
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moves []Moves
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2020-01-15 20:49:01 +00:00
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}
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2020-01-16 06:33:04 +00:00
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func NewPathFinder(s *State) PathFinder {
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return PathFinder{s, nil}
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}
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func NewPathFinderMoves(s *State, moves []Moves) PathFinder {
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return PathFinder{s, moves}
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}
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func (p PathFinder) Find(target int) []int {
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source := p.state.Player.Pos
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level := p.state.Level
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size := level.Size()
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distances := NewInts(size)
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distances[source] = 0
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moves := NewInts(size)
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moves[source] = source
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state := p.newPathFinderState(source)
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heuristic := func(i int) int {
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idx := state.frontier[i]
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return distances[idx] + p.state.IdxToPos[idx].DistInt(p.state.IdxToPos[target])
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}
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for {
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curr := state.frontier[0]
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if curr == target {
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break
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}
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state.frontier = state.frontier[1:]
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state.findBetterNeighbours(distances, curr, func(nextIdx, newDistance int) {
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moves[nextIdx] = curr
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})
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if len(state.frontier) == 0 {
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return nil // no path
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}
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// apply heuristic to frontier (favor points closer to target)
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sort.Slice(state.frontier, func(i, j int) bool { return heuristic(i) < heuristic(j) })
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}
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// build reverse path
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curr := target
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path := []int{curr}
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for {
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curr = moves[curr]
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if curr == source {
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break
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}
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path = append(path, curr)
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}
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// reverse path
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n := len(path)
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for i := 0; i < n/2; i++ {
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path[i], path[n-i-1] = path[n-i-1], path[i]
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}
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return path
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}
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func (p PathFinder) FindDistances() Ints {
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source := p.state.Player.Pos
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level := p.state.Level
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size := level.Size()
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distances := NewInts(size)
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distances[source] = 0
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state := p.newPathFinderState(source)
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for {
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curr := state.frontier[0]
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state.frontier = state.frontier[1:]
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state.findBetterNeighbours(distances, curr, nil)
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if len(state.frontier) == 0 {
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return distances
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}
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}
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}
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func (p PathFinder) newPathFinderState(source int) *pathFinderState {
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return &pathFinderState{p.state, append(make([]int, 0, p.state.Level.Size()), source), p.moves}
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}
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type pathFinderState struct {
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state *State
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frontier []int
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moves []Moves
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}
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type betterNeighbourFn func(int, int)
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func (s *pathFinderState) findBetterNeighbours(distances []int, curr int, better betterNeighbourFn) {
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currDistance := distances[curr]
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newDistance := currDistance + 1
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var moves []int
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if s.moves == nil {
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for _, dir := range Directions {
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nextIdx := s.state.Level.MoveIdx(curr, dir)
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if nextIdx == -1 {
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continue
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}
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moves = append(moves, nextIdx)
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}
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} else {
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moves = s.moves[curr].Valid
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}
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for _, nextIdx := range moves {
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if distance := distances[nextIdx]; distance != -1 && distance <= newDistance { // skip when shorter path exists
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continue
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}
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if !s.state.Walkable[nextIdx] || s.state.Bricks[nextIdx] != -1 { // filter neighbours
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continue
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}
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distances[nextIdx] = newDistance
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s.frontier = append(s.frontier, nextIdx)
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if better == nil {
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continue
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}
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better(nextIdx, newDistance)
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}
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}
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