Neon Minesweeper: High-Voltage Strategy in Your Browser

Challenge your logic with Neon Minesweeper. Featuring a sleek cyberpunk aesthetic and responsive gameplay, this browser-based puzzle brings the classic "detonate or survive" mechanics into a glowing modern grid.

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1. The Core Engine

The core engine is the JavaScript logic that manages the game state and rules. It follows a state-driven architecture:

• Grid Initialization: The initGame() function acts as the constructor, setting up a 2D array (board) where each object contains properties like mine, revealed, and count.
• Game Logic: The engine handles the classic Minesweeper recursive "flood-fill" algorithm through the reveal() function. If a cell has 0 neighboring mines, it automatically triggers a reveal of all adjacent cells.
• State Management: It tracks variables for gameOver, timerInterval, and moves to determine win/loss conditions (e.g., checking if the number of unrevealed non-mine cells is zero).

2. Rendering Technology

This application uses DOM-based rendering combined with CSS Grid. Unlike a <canvas> element where pixels are drawn, this code creates individual HTML elements for every game cell.

• CSS Grid Layout: The display: grid; property on the #board element allows the engine to dynamically set columns using gridTemplateColumns. This ensures the grid stays perfectly aligned regardless of difficulty (Easy vs. Hard).
• Dynamic Styling: The renderer uses CSS Custom Properties (Variables) like --cell-bg and --grid-glow to maintain a consistent "Neon" aesthetic.
• Class Switching: When a player interacts, the engine updates the view by toggling CSS classes (.revealed, .mine, .flagged), which triggers immediate visual changes in the browser.

3. Mathematical Tools

The math in this code is primarily focused on Coordinate Geometry and Probability:

• Randomization: The Math.random() and Math.floor() functions are used to distribute mines across the grid coordinates, ensuring no two games are identical.
• Neighbor Detection: The getNeighbors(r, c) function uses a nested loop to calculate a Moore Neighborhood (the 8 cells surrounding a center point). It uses boundary checking to ensure the logic doesn't look for cells outside the grid (e.g., board[r+i] must exist).
• Grid Mapping: A 1D-to-2D mapping logic is used to convert the flat list of mines into a coordinate system (r, c) for logical processing.

4. Front-End Environment

The front-end is designed as a Responsive Web App (RWA), optimized for both desktop and mobile devices.

• Event Handling: It employs a sophisticated event listener system. On desktop, it listens for onmousedown (left vs. right click). On mobile, it uses touchstart and touchend with a setTimeout (600ms) to simulate a "long press" for flagging.
• Viewport Management: The .viewport-area uses overflow: auto and -webkit-overflow-scrolling: touch, allowing users to "pan" around larger grids (like the Hard difficulty) on small phone screens.
• UI/UX Elements: It includes a "Stats Bar" for real-time feedback (Timer and Move counter) and a "Difficulty Selector" that resets the engine state upon change.