Add basic input fetching logic and common helpers
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3 changed files with 115 additions and 41 deletions
81
2021/1.ts
81
2021/1.ts
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import { readLines } from "./deps.ts";
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import { inputNumbers } from "./common.ts";
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// Day 1
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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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/** This solution is relatively simple. Keep track of the last depth we
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* measured in `lastDepth` (skipping the first line of input by defaulting it
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* to `Number.MAX_VALUE`) and compare it to each line of input as we read it.
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* Once 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) part1Increases++;
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lastDepth = depth;
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export async function part1(
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input: AsyncIterableIterator<number>,
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): Promise<number> {
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let increases = 0;
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let lastDepth = Number.MAX_VALUE;
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for await (const depth of input) {
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if (depth > lastDepth) increases++;
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lastDepth = depth;
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}
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return increases;
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}
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console.log("Number of depth increases (Part 1):", part1Increases);
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console.log("Part 1", await part1(await inputNumbers("1")));
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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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/** Since the windows we need to compare overlap, we really only need to
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* compare the values unique to each window, which will be the first of the
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* first window and the last of the last window. Since the windows have size 3,
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* we really only need to compare a value with the "three-lines-ago" value.
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* This solution 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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export async function part2(
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input: AsyncIterableIterator<number>,
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windowSize = 3,
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): Promise<number> {
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let increases = 0;
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// TODO: use a proper FIFO queue data structure for this?
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let window: number[] = await Promise.all(Array.from(
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Array(windowSize),
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async (_x, _i) => parseInt((await input.next()).value),
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));
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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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for await (const depth of input) {
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if (depth > window[0]) increases++;
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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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return increases;
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}
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console.log("Number of summed depth increases (Part 2):", part2Increases);
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console.log("Part 2", await part2(await inputNumbers("1")));
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72
2021/common.ts
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72
2021/common.ts
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import { ensureDir, path, readAll, readLines } from "./deps.ts";
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export const HOME = Deno.env.get("HOME") || "/tmp";
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export const XDG_CACHE_HOME = Deno.env.get("XDG_CACHE_HOME") ||
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path.join(HOME, ".config");
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const INPUT_CACHE_DIR = path.join(XDG_CACHE_HOME, "aoc2021");
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async function fileExists(filePath: string) {
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try {
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await Deno.lstat(filePath);
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return true;
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} catch (e) {
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if (e instanceof Deno.errors.NotFound) {
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return false;
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}
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throw e;
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}
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}
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function inputFilePath(day: string) {
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return path.join(INPUT_CACHE_DIR, `${day}.input`);
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}
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async function ensureInput(day: string) {
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const filePath = inputFilePath(day);
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await ensureDir(INPUT_CACHE_DIR);
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if (await fileExists(filePath)) return;
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const cookieFile = path.join(HOME, ".advent-of-code-2021-auth-cookie");
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let cookie = "";
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try {
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cookie = Deno.env.get("ADVENT_OF_CODE_2021_AUTH_COOKIE") ||
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new TextDecoder().decode(
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await readAll(await Deno.open(cookieFile)),
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);
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} catch (e) {
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console.error(
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`Failed to load adventofcode.com cookie from ADVENT_OF_CODE_2021_AUTH_COOKIE environment variable or from file ${cookieFile}`,
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);
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throw e;
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}
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const url = `https://adventofcode.com/2021/day/${day}/input`;
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const response = await fetch(url, { headers: { cookie } });
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await Deno.writeTextFile(filePath, await response.text());
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}
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async function fileLines(
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filePath: string,
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): Promise<AsyncIterableIterator<string>> {
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return readLines(await Deno.open(filePath));
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}
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export async function inputLines(
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day: string,
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): Promise<AsyncIterableIterator<string>> {
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await ensureInput(day);
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return fileLines(inputFilePath(day));
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}
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async function* readStringsAsNumbers(
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input: AsyncIterableIterator<string>,
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): AsyncIterableIterator<number> {
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for await (const s of input) {
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yield parseInt(s);
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}
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}
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export async function inputNumbers(
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day: string,
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): Promise<AsyncIterableIterator<number>> {
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return readStringsAsNumbers(await inputLines(day));
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}
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@ -1 +1,4 @@
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export { readLines } from "https://deno.land/std@0.116.0/io/mod.ts";
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export { ensureDir } from "https://deno.land/std@0.110.0/fs/mod.ts";
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export * as path from "https://deno.land/std@0.116.0/path/mod.ts";
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export { readAll } from "https://deno.land/std@0.116.0/streams/conversion.ts";
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