Part 2
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1 changed files with 45 additions and 3 deletions
48
2021/1.ts
48
2021/1.ts
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import { readLines } from "./deps.ts";
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// Day 1
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let increases = 0;
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/*
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* This solution is relatively simple. Keep track of the last depth we measured
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* in `lastDepth` (skipping the first line of input by defaulting it to
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* `Number.MAX_VALUE`) and compare it to each line of input as we read it. Once
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* we've compared, set the `lastDepth` to the current depth for the next
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* iteration.
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*
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* This solution should be O(n) for compute and O(n) for memory since we
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* iterate the input once and only read a line at a time, we actually have O(1)
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* memory, but since the input is on disk, that's kind of unfair to say.
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*/
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let part1Increases = 0;
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let lastDepth = Number.MAX_VALUE;
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for await (const depthString of readLines(await Deno.open("1.input"))) {
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const depth = parseInt(depthString);
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if (depth > lastDepth) increases++;
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if (depth > lastDepth) part1Increases++;
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lastDepth = depth;
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}
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console.log("Number of depth increases:", increases);
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console.log("Number of depth increases (Part 1):", part1Increases);
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// Day 2
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/*
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* Since the windows we need to compare overlap, we really only need to compare
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* the values unique to each window, which will be the first of the first window
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* and the last of the last window. Since the windows have size 3, we really
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* only need to compare a value with the "three-lines-ago" value. This solution
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* otherwise is identical to the previous one.
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*/
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let part2Increases = 0;
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const WINDOW_SIZE = 3;
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const input = readLines(await Deno.open("1.input"));
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// TODO: use a proper FIFO queue data structure for this?
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// read the first `WINDOW_SIZE` values from our input in preparation
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let window: number[] = await Promise.all(Array.from(
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Array(WINDOW_SIZE),
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async (_x, _i) => parseInt((await input.next()).value),
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));
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for await (const depthString of input) {
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const depth = parseInt(depthString);
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// compare the current depth to the depth we read `WINDOW_SIZE` ago
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if (depth > window[0]) part2Increases++;
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// now we push the current depth onto the window and cut the one we just compared off
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// TODO: if this was a proper queue, we could just push it on the queue and
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// expect the first-in value to fall out
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window = window.slice(1);
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window.push(depth);
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}
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console.log("Number of summed depth increases (Part 2):", part2Increases);
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