Pathfinding Visualization Documentation

Introduction

This documentation provides an overview of the C++ code for a pathfinding visualization using the Raylib library. The code simulates BFS on a grid-based map, allowing users to set start and end points, add walls, and visualize the pathfinding process.

Table of Contents

1. Introduction
2. Code Overview
3. Data Structures
4. Functions
   1. starttimer
   2. Setupcell
   3. ChangeCellState
   4. reset
5. Main Function
6. Usage
7. Conclusion

Code Overview

The code implements a pathfinding visualization application where the user can interact with the grid to set starting and ending points and add walls. The pathfinding algorithm is executed in real-time, and the visualization is rendered using the Raylib library.

Data Structures

SuperRectangle Struct

• Rectangle rect: Represents the rendering rectangle of a grid cell.
• int state: Represents the state of a grid cell (empty, wall, start, end).
• bool visited: Indicates if the cell has been visited during the pathfinding process.
• int x, int y: Grid coordinates of the cell.
• int parentx, int parenty: Coordinates of the parent cell.

Functions

starttimer

Starts a timer to measure the elapsed time.

Setupcell

Initializes the properties of a SuperRectangle cell.

ChangeCellState

Updates the state of a cell based on user interactions (placing start, end, wall, or clearing).

reset

Resets the visualization, clearing states, and flags.

Main Function

The main function initializes the grid, sets up the Raylib window, and handles user input and rendering. It executes the pathfinding algorithm in real-time and updates the grid's state accordingly.

Usage

1. Left-click to add walls and interact with the grid.
2. Press T to reset the visualization.
3. Press E to set the start point.
4. Press R to set the end point.
5. Press ENTER to start the pathfinding process.
6. Observe the visualization of the pathfinding algorithm.

Conclusion

This code provides a practical example of implementing a pathfinding visualization using the Raylib library. It demonstrates how to handle user input, execute a pathfinding algorithm, and visualize the process in real-time. Users can explore different pathfinding scenarios by interacting with the grid and observing the algorithm's behavior.