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README.md

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## Maze PathFinder Visualizer implemented in Python
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### How to use
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# Maze PathFinder Visualizer implemented in Python
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## How to use
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Go to config.py and change settings.
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'bfs' for Breadth first search
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'dfs' for Depth first search
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* Click or click and drag to create obstacles
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* Press space bar and see the algorithm takes off!
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### Symbols
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#### "@": Start and end node
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#### "#": Obstacles
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#### "*": Visited node
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#### "+": Path
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* "@": Start and end node
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* "#": Obstacles
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* "*": Visited node
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* "+": Path
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### Contributions
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## Contributions
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All contributions are welcome. :)
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### Algorithm Implemented
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## Algorithm Implemented
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* BFS (unweighted Dijastra)
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* DFS
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* ASTAR (A*)
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#### Breadth First Search (unweighted Dijkstra)
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### Breadth First Search (unweighted Dijkstra)
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Breadth First Search is unweighted and guarantee a optimal path.
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![BFS](https://github.com/ss892714028/Maze-PathFinder-Visualization-Python/blob/master/gifs/bfs.gif)
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#### Depth First Search
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### Depth First Search
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Depth First Search is unweighted and does not guarantee a optimal path.
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![DFS](https://github.com/ss892714028/Maze-PathFinder-Visualization-Python/blob/master/gifs/dfs-nonoptimal.gif)
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#### Astar (A*)
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### Astar (A*)
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A* is weighted and guarantee a optimal path.
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![A* easy](https://github.com/ss892714028/Maze-PathFinder-Visualization-Python/blob/master/gifs/a-star_ez.gif)
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![A*](https://github.com/ss892714028/Maze-PathFinder-Visualization-Python/blob/master/gifs/a-star.gif)

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