diff --git a/day-1/README.md b/day-1/README.md new file mode 100644 index 0000000..03ca556 --- /dev/null +++ b/day-1/README.md @@ -0,0 +1,93 @@ +# Day 1: Historian Hysteria + +
+ +## Part 1 + +You haven't even left yet and the group of Elvish Senior Historians has already hit a problem: their list of locations to check is currently +**empty**. Eventually, someone decides that the best place to check first would be the Chief Historian's office. + +Upon pouring into the office, everyone confirms that the Chief Historian is indeed nowhere to be found. Instead, the Elves discover an +assortment of notes and lists of historically significant locations! This seems to be the planning the Chief Historian was doing before he +left. Perhaps these notes can be used to determine which locations to search? + +Throughout the Chief's office, the historically significant locations are listed not by name but by a unique number called the **location +ID**. To make sure they don't miss anything, The Historians split into two groups, each searching the office and trying to create their own +complete list of location IDs. + +There's just one problem: by holding the two lists up **side by side** (your puzzle input), it quickly becomes clear that the lists aren't +very similar. Maybe you can help The Historians reconcile their lists? + +For example: + +```txt +3 4 +4 3 +2 5 +1 3 +3 9 +3 3 +``` + +Maybe the lists are only off by a small amount! To find out, pair up the numbers and measure how far apart they are. Pair up the **smallest +number in the left list** with the **smallest number in the right list**, then the **second-smallest left number** with the +**second-smallest right number**, and so on. + +Within each pair, figure out **how far apart** the two numbers are; you'll need to **add up all of those distances**. For example, if you +pair up a `3` from the left list with a `7` from the right list, the distance apart is `4`; if you pair up a `9` with a `3`, the distance +apart is `6`. + +In the example list above, the pairs and distances would be as follows: + +- The smallest number in the left list is `1`, and the smallest number in the right list is `3`. The distance between them is `2`. +- The second-smallest number in the left list is `2`, and the second-smallest number in the right list is another `3`. The distance between + them is `1`. +- The third-smallest number in both lists is `3`, so the distance between them is `0`. +- The next numbers to pair up are `3` and `4`, a distance of `1`. +- The fifth-smallest numbers in each list are `3` and `5`, a distance of `2`. +- Finally, the largest number in the left list is `4`, while the largest number in the right list is `9`; these are a distance `5` apart. + +To find the **total distance** between the left list and the right list, add up the distances between all of the pairs you found. In the +example above, this is `2 + 1 + 0 + 1 + 2 + 5`, a total distance of `11`! + +Your actual left and right lists contain many location IDs. **What is the total distance between your lists?** + +
+ +## Part 2 + +Your analysis only confirmed what everyone feared: the two lists of location IDs are indeed very different. + +Or are they? + +The Historians can't agree on which group made the mistakes **or** how to read most of the Chief's handwriting, but in the commotion you +notice an interesting detail: a lot of location IDs appear in both lists! Maybe the other numbers aren't location IDs at all but rather +misinterpreted handwriting. + +This time, you'll need to figure out exactly how often each number from the left list appears in the right list. Calculate a total +**similarity score** by adding up each number in the left list after multiplying it by the number of times that number appears in the right +list. + +Here are the same example lists again: + +```txt +3 4 +4 3 +2 5 +1 3 +3 9 +3 3 +``` + +For these example lists, here is the process of finding the similarity score: + +- The first number in the left list is `3`. It appears in the right list three times, so the similarity score increases by `3 * 3 = 9`. +- The second number in the left list is `4`. It appears in the right list once, so the similarity score increases by `4 * 1 = 4`. +- The third number in the left list is `2`. It does not appear in the right list, so the similarity score does not increase (`2 * 0 = 0`). +- The fourth number, `1`, also does not appear in the right list. +- The fifth number, `3`, appears in the right list three times; the similarity score increases by `9`. +- The last number, `3`, appears in the right list three times; the similarity score again increases by `9`. + +So, for these example lists, the similarity score at the end of this process is `31` (`9 + 4 + 0 + 0 + 9 + 9`). + +Once again consider your left and right lists. **What is their similarity score?** diff --git a/day-1/day-1.test.ts b/day-1/day-1.test.ts new file mode 100644 index 0000000..772a833 --- /dev/null +++ b/day-1/day-1.test.ts @@ -0,0 +1,25 @@ +import { describe, it } from 'node:test'; +import assert from 'node:assert'; +import path from 'node:path'; + +import { calculateSimilarityScore, calculateTotalDistance } from './day-1'; + +describe('Day 1: Historian Hysteria', () => { + const locationIdListsFilePath = path.join(__dirname, 'location-id-lists.txt'); + + it('Part 1: should calculate total distance', async () => { + const expectedTotalDistance = 1873376; // Verified for this dataset + + const calculatedTotalDistance = await calculateTotalDistance(locationIdListsFilePath); + + assert.strictEqual(calculatedTotalDistance, expectedTotalDistance); + }); + + it('Part 2: should calculate similarity score', async () => { + const expectedSimilarityScore = 18997088; // Verified for this dataset + + const calculatedTotalDistance = await calculateSimilarityScore(locationIdListsFilePath); + + assert.strictEqual(calculatedTotalDistance, expectedSimilarityScore); + }); +}); diff --git a/day-1/day-1.ts b/day-1/day-1.ts new file mode 100644 index 0000000..c72cf4b --- /dev/null +++ b/day-1/day-1.ts @@ -0,0 +1,86 @@ +import fs from 'node:fs/promises'; + +/** + * Read file + */ +const readFile = async (filePath: string): Promise => { + const fileContents = await fs.readFile(filePath, { + encoding: 'utf8', + }); + const normalizedFileContents = fileContents.trim().split(/\r?\n/).join('\n'); + return normalizedFileContents; +}; + +/** + * Parse location ID lists + */ +const parseLocationIdLists = (locationIdListsFileContent: string): [Array, Array] => { + // Get all location IDs by file line (horizontal) + const locationIdsPerFileLine = locationIdListsFileContent.split('\n').map((fileContentLine) => { + return [...fileContentLine.matchAll(/\d+/g)] + .map((locationIdMatch) => { + return locationIdMatch[0]; + }) + .map((locationIdAsString) => { + return parseInt(locationIdAsString, 10); + }); + }); + + // Group location IDs into lists (vertical) + const locationIdLists: [Array, Array] = [[], []]; + for (let fileLineIndex = 0; fileLineIndex < locationIdsPerFileLine.length; fileLineIndex++) { + for (let locationIdIndex = 0; locationIdIndex < locationIdsPerFileLine[fileLineIndex].length; locationIdIndex++) { + locationIdLists[locationIdIndex][fileLineIndex] = locationIdsPerFileLine[fileLineIndex][locationIdIndex]; + } + } + + // Done + return locationIdLists; +}; + +/** + * Part 1: Calculate total distance + */ +export const calculateTotalDistance = async (locationIdListsFilePath: string) => { + // Get data + const locationIdListsFileContent = await readFile(locationIdListsFilePath); + const locationIdLists = parseLocationIdLists(locationIdListsFileContent); + + // Sort lists + locationIdLists.forEach((locationList) => { + locationList.sort(); // Note: Mutates existing array + }); + + // Calculate total distance + let totalDistance = 0; + for (let locationIdListIndex = 0; locationIdListIndex < locationIdLists[0].length; locationIdListIndex++) { + totalDistance += Math.abs(locationIdLists[0][locationIdListIndex] - locationIdLists[1][locationIdListIndex]); + } + + // Done + return totalDistance; +}; + +/** + * Part 2: Calculate similarity score + */ +export const calculateSimilarityScore = async (locationIdListsFilePath: string) => { + // Get data + const locationIdListsFileContent = await readFile(locationIdListsFilePath); + const locationIdLists = parseLocationIdLists(locationIdListsFileContent); + + // Get similarity score + let similarityScore = 0; + for (let locationIdListIndex = 0; locationIdListIndex < locationIdLists[0].length; locationIdListIndex++) { + let countIdenticalLocationIds = 0; + for (let secondLocationIdListIndex = 0; secondLocationIdListIndex < locationIdLists[1].length; secondLocationIdListIndex++) { + if (locationIdLists[1][secondLocationIdListIndex] === locationIdLists[0][locationIdListIndex]) { + countIdenticalLocationIds++; + } + } + similarityScore += countIdenticalLocationIds * locationIdLists[0][locationIdListIndex]; + } + + // Done + return similarityScore; +}; diff --git a/day-1/location-id-lists.txt b/day-1/location-id-lists.txt new file mode 100644 index 0000000..86c469c --- /dev/null +++ b/day-1/location-id-lists.txt @@ -0,0 +1,1000 @@ +53906 14872 +35867 86182 +61313 43656 +23620 85315 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100644 --- a/package.json +++ b/package.json @@ -13,7 +13,8 @@ "npm": "10.x" }, "scripts": { - "test": "tsx --test" + "test": "tsx --test", + "test:day-1": "tsx --test ./day-1/day-1.test.ts" }, "devDependencies": { "@types/node": "22.x",