Day 8 of 2022 (finally).
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src/aoc2022/Day08.kt
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src/aoc2022/Day08.kt
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package aoc2022
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import println
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import readInput
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import kotlin.math.max
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import kotlin.math.min
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/*
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--- Day 8: Treetop Tree House ---
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The expedition comes across a peculiar patch of tall trees all planted carefully in a grid. The Elves explain that a previous expedition planted these trees as a reforestation effort. Now, they're curious if this would be a good location for a tree house.
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First, determine whether there is enough tree cover here to keep a tree house hidden. To do this, you need to count the number of trees that are visible from outside the grid when looking directly along a row or column.
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The Elves have already launched a quadcopter to generate a map with the height of each tree (your puzzle input). For example:
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30373
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25512
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65332
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33549
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35390
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Each tree is represented as a single digit whose value is its height, where 0 is the shortest and 9 is the tallest.
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A tree is visible if all of the other trees between it and an edge of the grid are shorter than it. Only consider trees in the same row or column; that is, only look up, down, left, or right from any given tree.
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All of the trees around the edge of the grid are visible - since they are already on the edge, there are no trees to block the view. In this example, that only leaves the interior nine trees to consider:
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The top-left 5 is visible from the left and top. (It isn't visible from the right or bottom since other trees of height 5 are in the way.)
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The top-middle 5 is visible from the top and right.
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The top-right 1 is not visible from any direction; for it to be visible, there would need to only be trees of height 0 between it and an edge.
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The left-middle 5 is visible, but only from the right.
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The center 3 is not visible from any direction; for it to be visible, there would need to be only trees of at most height 2 between it and an edge.
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The right-middle 3 is visible from the right.
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In the bottom row, the middle 5 is visible, but the 3 and 4 are not.
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With 16 trees visible on the edge and another 5 visible in the interior, a total of 21 trees are visible in this arrangement.
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Consider your map; how many trees are visible from outside the grid?
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--- Part Two ---
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Content with the amount of tree cover available, the Elves just need to know the best spot to build their tree house: they would like to be able to see a lot of trees.
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To measure the viewing distance from a given tree, look up, down, left, and right from that tree; stop if you reach an edge or at the first tree that is the same height or taller than the tree under consideration. (If a tree is right on the edge, at least one of its viewing distances will be zero.)
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The Elves don't care about distant trees taller than those found by the rules above; the proposed tree house has large eaves to keep it dry, so they wouldn't be able to see higher than the tree house anyway.
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In the example above, consider the middle 5 in the second row:
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30373
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25512
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65332
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33549
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35390
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Looking up, its view is not blocked; it can see 1 tree (of height 3).
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Looking left, its view is blocked immediately; it can see only 1 tree (of height 5, right next to it).
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Looking right, its view is not blocked; it can see 2 trees.
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Looking down, its view is blocked eventually; it can see 2 trees (one of height 3, then the tree of height 5 that blocks its view).
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A tree's scenic score is found by multiplying together its viewing distance in each of the four directions. For this tree, this is 4 (found by multiplying 1 * 1 * 2 * 2).
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However, you can do even better: consider the tree of height 5 in the middle of the fourth row:
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30373
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25512
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65332
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33549
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35390
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Looking up, its view is blocked at 2 trees (by another tree with a height of 5).
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Looking left, its view is not blocked; it can see 2 trees.
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Looking down, its view is also not blocked; it can see 1 tree.
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Looking right, its view is blocked at 2 trees (by a massive tree of height 9).
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This tree's scenic score is 8 (2 * 2 * 1 * 2); this is the ideal spot for the tree house.
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Consider each tree on your map. What is the highest scenic score possible for any tree?
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*/
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fun main() {
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val inlineTestInput = """
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30373
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25512
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65332
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33549
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35390
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"""
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fun parseInput(input: List<String>): IntArray {
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val dim = input.first().length
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val out = IntArray(dim * dim)
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for ((rnum, r) in input.withIndex()) {
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r.forEachIndexed { index, c -> out[rnum * dim + index] = c - '0' }
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}
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return out
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}
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fun createMaxArray(trees: IntArray, dim: Int, tcurr: (row: Int, col: Int) -> Int): IntArray {
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val maxArray = IntArray(dim * dim)
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for (row in 0 until dim) {
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var maxValue = -1
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for (col in 0 until dim) {
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val posCurr = tcurr(row, col)
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maxArray[posCurr] = maxValue
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maxValue = max(trees[posCurr], maxValue)
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}
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}
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return maxArray
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}
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fun part1(input: List<String>): Int {
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val dim = input.first().length
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val trees = parseInput(input)
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val west = createMaxArray(trees, dim) { row, col -> row * dim + col }
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val east = createMaxArray(trees, dim) { row, col -> row * dim + (dim - col - 1) }
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val north = createMaxArray(trees, dim) { row, col -> col * dim + row }
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val south = createMaxArray(trees, dim) { row, col -> (dim - col - 1) * dim + row }
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return trees.withIndex().count { (i, v) -> v > min(min(north[i], south[i]), min(west[i], east[i])) }
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}
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fun createVisArray(trees: IntArray, dim: Int, tcurr: (row: Int, col: Int) -> Int): IntArray {
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val visArray = IntArray(dim * dim)
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for (row in 0 until dim) {
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var visTrees = 0
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var posLast = -1
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for (col in 0 until dim) {
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val posCurr = tcurr(row, col)
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// should have been possible with dynamic programming, but I'm too stupid to get it right, so brute force instead
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// visArray[posCurr] = if (posLast < 0) {
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// 0
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// } else if (trees[posCurr] > trees[posLast]) {
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// ++visTrees
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// } else if (trees[posCurr] == trees[posLast]) {
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// ++visTrees
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// 1
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// } else {
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// visTrees = 1
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// 1
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// }
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// posLast = posCurr
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for (col2 in col - 1 downTo 0) {
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val t = trees[tcurr(row, col2)]
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visArray[posCurr]++
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if (trees[posCurr] <= t) break
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}
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}
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}
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return visArray
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}
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fun part2(input: List<String>): Int {
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val dim = input.first().length
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val trees = parseInput(input)
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val west = createVisArray(trees, dim) { row, col -> row * dim + col }
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val east = createVisArray(trees, dim) { row, col -> row * dim + (dim - col - 1) }
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val north = createVisArray(trees, dim) { row, col -> col * dim + row }
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val south = createVisArray(trees, dim) { row, col -> (dim - col - 1) * dim + row }
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// println("West:")
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// west.asSequence().chunked(dim).joinToString("\n") { it.joinToString(",") }.println()
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//
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// println("East:")
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// east.asSequence().chunked(dim).joinToString("\n") { it.joinToString(",") }.println()
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//
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// println("North:")
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// north.asSequence().chunked(dim).joinToString("\n") { it.joinToString(",") }.println()
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//
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// println("South:")
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// south.asSequence().chunked(dim).joinToString("\n") { it.joinToString(",") }.println()
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var maxValue = -1
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for (row in 0 until dim) {
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for (col in 0 until dim) {
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val p = row * dim + col
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maxValue = max(north[p] * south[p] * west[p] * east[p], maxValue)
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}
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}
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return maxValue
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}
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// test if implementation meets criteria from the description, like:
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val testInput = inlineTestInput.trim().reader().readLines()
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//val testInput = readInput("aoc2022/Day08_test")
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println("Part 1 Test: " + part1(testInput))
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println("Part 2 Test: " + part2(testInput))
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check(part1(testInput) == 21)
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check(part2(testInput) == 8)
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val input = readInput("aoc2022/Day08")
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part1(input).println()
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part2(input).println()
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}
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