Day 9 was about finding the largest rectangle between red tiles on a theater floor. Part 1 was straightforward geometry. Part 2 required checking if rectangles fit inside a polygon - which is where I reached for an external library.

Part 1: Largest Rectangle Between Any Two Points

Given coordinates of red tiles, find the largest rectangle using any two red tiles as opposite corners.

This is pure geometry: for every pair of points, calculate the rectangle area and track the maximum.

Day 8 was brutal. Not because the algorithm is complex - but because I kept making implementation mistakes that cost hours of debugging.

The Problem

Given 3D coordinates of junction boxes, connect them with light strings. Connect the closest pairs first, forming circuits. After making a certain number of connections, find the sizes of the three largest circuits.

This is essentially asking: perform a greedy connection strategy (always connect the two closest unconnected boxes) and track which connected components (circuits) form.

Day 7 was about tachyon beams splitting through a manifold. Part 1 was a straightforward recursive beam tracer. Part 2 took a completely different approach with a quantum twist.

Part 1: Classical Beam Splitting

A tachyon beam enters at S and travels downward. When it hits a splitter (^), it stops and creates two new beams going down-left and down-right.

Example:

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.......S.......
.......|.......
......|^|......
......|.|......
.....|^|^|.....

Count how many times the beam splits.

Day 6 was a breath of fresh air after the complexity of Days 3-5. The problem involved parsing a math worksheet where problems are arranged vertically in columns. Both parts were straightforward grid manipulation.

Part 1: Vertical Math Problems

The worksheet has numbers stacked vertically with operators at the bottom. Each column is a separate problem, and we need to sum all the answers.

Example:

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123 328  51 64 
 45 64  387 23 
  6 98  215 314
*   +   *   +  

This represents four problems:

Day 5 was about checking ingredient freshness using ID ranges. Part 1 was straightforward with a range check. Part 2 required merging overlapping ranges - something I knew how to do conceptually but struggled to implement correctly.

Part 1: Check Individual IDs

Given a list of fresh ingredient ID ranges and a list of ingredient IDs to check, count how many IDs fall within any range.

The Brute Force Trap

My first instinct was to build a complete set of all fresh IDs:

Day 4 brought us back to grid problems. The task involved identifying paper rolls on a grid that forklifts could access, where accessibility is determined by how many neighboring rolls surround each position.

Part 1: Finding Accessible Rolls

Grids are back, and so is my helper library fred.py. The problem is straightforward: count how many paper rolls (@) have fewer than 4 neighboring rolls in the 8 adjacent positions (including diagonals).