Ever wondered how solving a coding challenge can feel like organizing a super-efficient team project? Here's a fun one I tackled recently!

🤔 The Challenge:
You're handed a puzzle with a list and a grid. Each step, you "paint" a cell in the grid based on the list. Your mission? Figure out the exact moment when an entire row or column is painted.
Sounds simple? Wait for the twist: efficiency is key, and the grid and list can have up to 100,000 elements!

💡 My Thought Process:
I approached this challenge like a strategist mapping out a winning plan:
1️⃣ Map the clues: I meticulously preprocessed the grid, creating a precise "lookup table" using a dictionary to know exactly where each number lives. This allowed me to perform quick lookups and eliminated unnecessary searches.
2️⃣ Track progress like a pro: Using two arrays row_count and col_count I tracked how many cells were painted in each row and column with laser-like precision. Each update was swift and efficient, ensuring no wasted effort.
3️⃣ Seize quick wins: The magic lay in identifying the exact moment a row or column became fully painted. I designed the solution to stop immediately at the first win, demonstrating a sharp focus on optimization.

⚙️ Key Data Structures and Algorithms
1️⃣ Dictionary (HashMap):
Purpose: Mapped each number in the matrix to its position (row, column) for O(1) lookups during the main iteration.
2️⃣ Arrays (Lists):
Purpose: Tracked the painting progress for rows (row_count) and columns (col_count) efficiently.
3️⃣ Algorithmic Approach:
Mapping: Preprocessed the matrix to build a dictionary of positions.
Tracking: Maintained counts for rows and columns as cells were painted.
Greedy Completion: Stopped as soon as a row or column was fully painted, ensuring no wasted effort.

🎲 A Real-Life Twist:
Imagine you're managing a team project. Each task (a number in the array) belongs to a team (a row) and uses shared resources (a column). The moment a team completes all their tasks or a resource is fully utilized you get results!
This concept applies to project planning, grid-based games, and even real-world resource allocation.

🔍 Do you think you can relate this logic with Pac-Man game, Let's discuss in the comments