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https://github.com/RussellChamp/advent-of-code-2021.git
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307 lines
8.3 KiB
Go
307 lines
8.3 KiB
Go
/* Day 15: Chiton */
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package main
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import (
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"AoC2021/utils/arrays"
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"AoC2021/utils/color"
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"AoC2021/utils/log"
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"AoC2021/utils/numbers"
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"AoC2021/utils/timer"
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"bufio"
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"math"
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"os"
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"strconv"
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"strings"
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)
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func check(e error) {
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if e != nil {
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log.Println(log.DEBUG, "Oh snap!")
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panic(e)
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}
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}
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func main() {
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log.Println(log.NORMAL, "--- Day 15: Chiton ---")
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timer.Start()
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part1()
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timer.Tick()
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log.Println(log.NORMAL)
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// TODO: Write a faster algorithm
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// part2()
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// timer.Tick()
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// log.Println(log.NORMAL)
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}
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func part1() {
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log.Println(log.NORMAL, "* Part 1 *")
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log.Printf(log.NORMAL, color.Green)
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log.Println(log.NORMAL, " Goal: Your goal is to find a path with the lowest total risk.")
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log.Println(log.NORMAL, " Answer: What is the lowest total risk of any path from the top left to the bottom right?")
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log.Printf(log.NORMAL, color.Reset)
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risks := readRiskNodes()
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costs := initCosts(risks)
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calcCosts(risks, &costs)
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lastRow := len(costs) - 1
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lastCol := len(costs[lastRow]) - 1
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exitCost := costs[lastRow][lastCol] - costs[0][0]
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log.Printf(log.NORMAL, "The lowest risk cost from row=0 col=0 to row=%d col=%d is %d\n", lastRow, lastCol, exitCost)
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walkPath(risks, costs)
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}
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func part2() {
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log.SetLogLevel(log.DEBUG)
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log.Println(log.NORMAL, "* Part 2 *")
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log.Printf(log.NORMAL, color.Green)
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log.Println(log.NORMAL, " Goal: Calc using the full map")
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log.Println(log.NORMAL, " Answer: What is the lowest total risk of any path from the top left to the bottom right?")
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log.Printf(log.NORMAL, color.Reset)
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risks := readRiskNodes()
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expandRisks(&risks)
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costs := initCosts(risks)
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calcCosts(risks, &costs)
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lastRow := len(costs) - 1
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lastCol := len(costs[lastRow]) - 1
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exitCost := costs[lastRow][lastCol] - costs[0][0]
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log.Printf(log.NORMAL, "The lowest risk cost from row=0 col=0 to row=%d col=%d is %d\n", lastRow, lastCol, exitCost)
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walkPath(risks, costs)
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}
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type RiskNodes [][]int
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func readRiskNodes() RiskNodes {
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input, err := os.Open("./input.txt")
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check(err)
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defer input.Close()
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scanner := bufio.NewScanner(input)
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lines := 0
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var risks RiskNodes
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for scanner.Scan() {
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line := scanner.Text()
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lines++
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// We'll just hope that our input is well formed
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risks = append(risks, arrays.MapStrToInt(strings.Split(line, ""), func(s string) int { i, _ := strconv.Atoi(s); return i }))
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}
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log.Printf(log.DEBUG, "Read %d lines from input\n", lines)
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return risks
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}
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func expandRisks(risks *RiskNodes) {
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multiplier := 5
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// expand out all the lines to the new width
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rowLen, colLen := len(*risks), len((*risks)[0])
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// extend each row N times
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for rIdx, row := range *risks {
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for m := 1; m < multiplier; m++ {
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(*risks)[rIdx] = append((*risks)[rIdx], row...)
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}
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}
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// copy each row N times
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for m := 1; m < multiplier; m++ {
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for rIdx := 0; rIdx < rowLen; rIdx++ {
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(*risks) = append((*risks), (*risks)[0])
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}
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}
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// increment the risk number in each cell
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for rIdx, row := range *risks {
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for cIdx, value := range row {
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if rIdx < rowLen && cIdx < colLen {
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continue
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}
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// add 1 for every section right or down that we've copied
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newVal := (value + rIdx/rowLen + cIdx/colLen) % 10
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(*risks)[rIdx][cIdx] = newVal
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}
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}
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log.Println(log.DIAGNOSTIC, "Expanded risk nodes to new size")
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}
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type CostNodes [][]int
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func initCosts(risks RiskNodes) CostNodes {
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var costs CostNodes
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for _, row := range risks {
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costs = append(costs, make([]int, len(row)))
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}
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log.Printf(log.DIAGNOSTIC, "Initialized costs node of size row=%d by col=%d\n", len(risks), len(risks[0]))
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return costs
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}
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var filledNodes int
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var recalcCount int
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var totalNodes int
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func calcCosts(risks RiskNodes, costs *CostNodes) {
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// the goal is to MINIMIZE the risk cost from traveling from START to END
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// starting from the current node check each adjacent valid node
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// if the total cost on that node is 0 or if the toal cost is > the current node total cost + next node travel cost
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// then update that next node's total and continue iterating at it
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// otherwise just stop
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(*costs)[0][0] = math.MaxInt // so that we don't go back to start
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filledNodes = 1
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totalNodes = len(*costs) * len((*costs)[0])
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log.Println(log.DIAGNOSTIC, "Starting calc from (0,0)")
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calcAllNeighbors(risks, costs, 0, 0, 0)
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}
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type RowCol struct {
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r int
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c int
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}
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func calcAllNeighbors(risks RiskNodes, costs *CostNodes, row, col, currentTotal int) {
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if !nodeIsValid(*costs, row, col) {
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return
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}
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log.Printf(log.DIAGNOSTIC, "Calculating neighbors at row=%d col=%d\n", row, col)
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if (*costs)[row][col] == 0 || (*costs)[row][col] > currentTotal+risks[row][col] {
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if (*costs)[row][col] == 0 {
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filledNodes++
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if filledNodes%1000 == 0 {
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log.Printf(log.DEBUG, "Calculated %d / %d nodes\n", filledNodes, totalNodes)
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}
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} else {
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recalcCount++
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if recalcCount%10000 == 0 {
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log.Printf(log.DEBUG, "Recalculated %d / ?? nodes\n", recalcCount)
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}
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}
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(*costs)[row][col] = currentTotal + risks[row][col]
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/* UP */ calcAllNeighbors(risks, costs, row-1, col, currentTotal+risks[row][col])
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/* DOWN */ calcAllNeighbors(risks, costs, row+1, col, currentTotal+risks[row][col])
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/* LEFT */ calcAllNeighbors(risks, costs, row, col-1, currentTotal+risks[row][col])
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/* RIGHT */ calcAllNeighbors(risks, costs, row, col+1, currentTotal+risks[row][col])
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} else {
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log.Printf(log.DIAGNOSTIC, "Hit a calc dead end at row=%d, col=%d\n", row, col)
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}
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}
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func nodeIsValid(costs CostNodes, row, col int) bool {
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switch {
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case col < 0, col >= len(costs):
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return false
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case row < 0, row >= len(costs[col]):
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return false
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default:
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return true
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}
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}
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func walkPath(risks RiskNodes, costs CostNodes) {
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// start from the end and go toward the beginning then flip the script
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row := len(costs) - 1
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col := len(costs[row]) - 1
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log.Printf(log.DIAGNOSTIC, "Starting to walk path at row=%d, col=%d\n", row, col)
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nodes := []RowCol{{row, col}}
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sum := 0
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for ; row != 0 || col != 0; row, col = lowestNeighbor(costs, row, col) {
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nodes = append(nodes, RowCol{row, col})
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sum += risks[row][col]
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}
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nodes = append(nodes, RowCol{row, col})
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// don't count 0,0 in the sum
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// print all the nodes and if they are on the path then color them
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printColor := color.DarkGray
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for row := 0; row < len(risks); row++ {
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for col := 0; col < len(risks[row]); col++ {
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// for the first and last node, print in yellow
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// for nodes on the path, print in green
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// else print in normal
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if (row == 0 && col == 0) || (row == len(risks)-1 && col == len(risks[row])-1) {
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printColor = color.YellowBold
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log.Printf(log.NORMAL, printColor)
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} else if inPath(nodes, row, col) {
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if printColor != color.BlueBold {
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printColor = color.BlueBold
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log.Printf(log.NORMAL, printColor)
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}
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} else if printColor != color.DarkGray {
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printColor = color.DarkGray
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log.Printf(log.NORMAL, printColor)
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}
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log.Printf(log.NORMAL, "%d", risks[row][col])
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}
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log.Println(log.NORMAL)
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}
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log.Printf(log.NORMAL, color.Reset)
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// iterate through backward to go from start node to end
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row, col = nodes[len(nodes)-1].r, nodes[len(nodes)-1].c
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log.Printf(log.NORMAL, color.Blue+"%d (%03d)"+color.Reset, risks[row][col], costs[row][col])
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for nIdx := len(nodes) - 2; nIdx >= 0; nIdx-- {
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row, col = nodes[nIdx].r, nodes[nIdx].c
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log.Printf(log.NORMAL, " -> "+color.Blue+"%d (%03d)"+color.Reset, risks[row][col], costs[row][col])
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if (len(nodes)-nIdx)%16 == 0 {
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log.Println(log.NORMAL)
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}
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}
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log.Println(log.NORMAL)
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log.Printf(log.DEBUG, "Total risk cost is %d in %d steps\n", sum, len(nodes))
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}
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func lowestNeighbor(costs CostNodes, row, col int) (int, int) {
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// if we're at 0,1 or 1,0 then just go to 0,0
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if (row == 0 && col == 1) || (row == 1 && col == 0) {
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return 0, 0
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}
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// compare UP, DOWN, LEFT, RIGHT
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upCost, downCost, leftCost, rightCost := math.MaxInt, math.MaxInt, math.MaxInt, math.MaxInt
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if nodeIsValid(costs, row-1, col) {
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upCost = costs[row-1][col]
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}
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if nodeIsValid(costs, row+1, col) {
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downCost = costs[row+1][col]
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}
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if nodeIsValid(costs, row, col-1) {
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leftCost = costs[row][col-1]
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}
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if nodeIsValid(costs, row, col+1) {
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rightCost = costs[row][col+1]
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}
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switch numbers.Min(upCost, downCost, leftCost, rightCost) {
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case upCost:
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return row - 1, col
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case downCost:
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return row + 1, col
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case leftCost:
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return row, col - 1
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case rightCost:
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return row, col + 1
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default:
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panic("at the disco!")
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}
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}
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func inPath(nodes []RowCol, row, col int) bool {
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for _, n := range nodes {
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if n.r == row && n.c == col {
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return true
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}
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}
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return false
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}
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