Added solutions for 15th day: Chiton shortest path exercises
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109
2021/15/second.go
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109
2021/15/second.go
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package main
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import (
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"bufio"
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"container/heap"
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"fmt"
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"os"
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)
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type Node struct {
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risk byte
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x, y, cost int
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index int
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}
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type NodeQueue []*Node
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func (pq NodeQueue) Len() int { return len(pq) }
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func (pq NodeQueue) Less(i, j int) bool { return pq[i].cost < pq[j].cost }
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func (pq NodeQueue) Swap(i, j int) {
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pq[i], pq[j] = pq[j], pq[i]
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pq[i].index = i
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pq[j].index = j
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}
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func (pq *NodeQueue) Push(x interface{}) {
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item := x.(*Node)
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item.index = len(*pq)
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*pq = append(*pq, item)
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}
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func (pq *NodeQueue) Pop() interface{} {
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p := *pq
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l := len(p) - 1
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item := p[l]
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item.index = -1
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p[l] = nil
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*pq = p[0:l]
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return item
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}
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func (pq *NodeQueue) Update(n *Node, cost int) {
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n.cost = cost
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heap.Fix(pq, n.index)
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}
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var (
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costs [][]Node
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nq = make(NodeQueue, 1)
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size int
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fullsize int
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)
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func calculateTentativeDistance(x, y, cost int) {
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if x < 0 || x >= size || y < 0 || y >= size {
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return
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}
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cost += int(costs[y][x].risk)
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if costs[y][x].cost == 0 {
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costs[y][x].cost = cost
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heap.Push(&nq, &costs[y][x])
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} else if cost < costs[y][x].cost {
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nq.Update(&costs[y][x], cost)
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}
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}
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func main() {
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scanner := bufio.NewScanner(os.Stdin)
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scanner.Scan()
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line := scanner.Text()
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size = len(line)
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fullsize = size * 5
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for y := 0; y < fullsize; y++ {
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costs = append(costs, make([]Node, fullsize))
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for x := 0; x < fullsize; x++ {
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costs[y][x].x = x
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costs[y][x].y = y
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costs[y][x].index = -1
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}
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}
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for y := 0; y < size; y++ {
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for x := 0; x < size; x++ {
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costs[y][x].risk = line[x] - '0'
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for i := 1; i < 5; i++ {
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costs[y][x+i*size].risk = (costs[y][x+(i-1)*size].risk % 9) + 1
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}
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for j := 1; j < 5; j++ {
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for i := 0; i < 5; i++ {
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costs[y+j*size][x+i*size].risk = (costs[y+(j-1)*size][x+i*size].risk % 9) + 1
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}
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}
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}
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scanner.Scan()
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line = scanner.Text()
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}
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size = fullsize
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costs[0][0].cost = 0
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nq[0] = &costs[0][0]
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heap.Init(&nq)
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for {
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n := heap.Pop(&nq).(*Node)
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if n.x == size-1 && n.y == size-1 {
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fmt.Println(n.cost)
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break
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}
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calculateTentativeDistance(n.x-1, n.y, n.cost)
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calculateTentativeDistance(n.x+1, n.y, n.cost)
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calculateTentativeDistance(n.x, n.y-1, n.cost)
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calculateTentativeDistance(n.x, n.y+1, n.cost)
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}
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}
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