feat: aoc 2022 day 3 solution + tests

mbrickerd · mbrickerd · commit bf2aabb3fce7 · 2025-11-27T23:25:43.000+01:00
diff --git a/_2022/data/day03/puzzle_input.txt b/_2022/data/day03/puzzle_input.txt
@@ -0,0 +1,300 @@
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diff --git a/_2022/solutions/day03.py b/_2022/solutions/day03.py
@@ -0,0 +1,78 @@
+"""Day 3: Rucksack Reorganization
+
+This module provides the solution for Advent of Code 2022 - Day 3.
+
+It handles finding common items in rucksack compartments and calculating
+their priority values based on alphabetical position.
+
+The module contains a Solution class that inherits from SolutionBase and implements
+methods to identify misplaced items and calculate priority sums.
+"""
+
+from aoc.models.base import SolutionBase
+
+
+class Solution(SolutionBase):
+    """Calculate priority sums for misplaced rucksack items.
+
+    This solution processes rucksack contents to find common items across
+    compartments or groups. Part 1 finds items appearing in both compartments
+    of a single rucksack, while Part 2 finds items common to groups of three
+    rucksacks (badges).
+
+    The solution uses set intersection for efficient item comparison and ASCII
+    values to calculate item priorities (a-z: 1-26, A-Z: 27-52).
+    """
+
+    def part1(self, data: list[str]) -> int:
+        """Calculate sum of priorities for items in both rucksack compartments.
+
+        Each rucksack is split into two equal compartments. This method finds
+        the item type that appears in both compartments and sums their priorities.
+
+        Args:
+            data: List of strings where each string represents items in a rucksack
+
+        Returns
+        -------
+            int: Sum of priorities for all items appearing in both compartments
+                of their respective rucksacks
+        """
+        score = 0
+        for rucksack in data:
+            c1, c2 = set(rucksack[: len(rucksack) // 2]), set(rucksack[len(rucksack) // 2 :])
+            common_item = c1.intersection(c2).pop()
+
+            if common_item.islower():
+                score += ord(common_item) - 96
+            else:
+                score += ord(common_item) - 64 + 26
+
+        return score
+
+    def part2(self, data: list[str]) -> int:
+        """Calculate sum of priorities for badge items across elf groups.
+
+        Elves are divided into groups of three. This method finds the item type
+        (badge) that appears in all three rucksacks of each group and sums their
+        priorities.
+
+        Args:
+            data: List of strings where each string represents items in a rucksack
+
+        Returns
+        -------
+            int: Sum of priorities for all badge items common to groups of three
+                consecutive rucksacks
+        """
+        score = 0
+        for idx in range(0, len(data), 3):
+            r1, r2, r3 = data[idx], data[idx + 1], data[idx + 2]
+            common_item = set(r1).intersection(set(r2)).intersection(set(r3)).pop()
+
+            if common_item.islower():
+                score += ord(common_item) - 96
+            else:
+                score += ord(common_item) - 64 + 26
+
+        return score
diff --git a/_2022/tests/data/day03/test_01_input.txt b/_2022/tests/data/day03/test_01_input.txt
@@ -0,0 +1,6 @@
+vJrwpWtwJgWrhcsFMMfFFhFp
+jqHRNqRjqzjGDLGLrsFMfFZSrLrFZsSL
+PmmdzqPrVvPwwTWBwg
+wMqvLMZHhHMvwLHjbvcjnnSBnvTQFn
+ttgJtRGJQctTZtZT
+CrZsJsPPZsGzwwsLwLmpwMDw
diff --git a/_2022/tests/data/day03/test_02_input.txt b/_2022/tests/data/day03/test_02_input.txt
@@ -0,0 +1,6 @@
+vJrwpWtwJgWrhcsFMMfFFhFp
+jqHRNqRjqzjGDLGLrsFMfFZSrLrFZsSL
+PmmdzqPrVvPwwTWBwg
+wMqvLMZHhHMvwLHjbvcjnnSBnvTQFn
+ttgJtRGJQctTZtZT
+CrZsJsPPZsGzwwsLwLmpwMDw
diff --git a/_2022/tests/test_03.py b/_2022/tests/test_03.py
