Maze

As explained in Learn Go with Pocket-Sized Projects

A maze is a spatial puzzle consisting of connected and obstructed routes arranged so that a path must be found between designated locations.

A maze is a grid of walls and paths with an entrance and a treasure. Solving it means finding adjacent positions that connect those two locations without teleportation. section 9.1

A practical maze representation can encode:

• Walls, paths, the entrance, and the treasure as pixel colors. section 9.1
• The entrance at one coordinate and the treasure either at an edge or inside the maze. section 9.1
• Four possible neighbors for each position: above, below, right, and left. section 9.3.1
• A loop-free structure with exactly one path from the entrance to each reachable point. section 9.1.2

Concurrent maze solving

A solver opens a PNG maze, locates the entrance by scanning for its palette color, explores branches concurrently with goroutines, and writes an image highlighting the path to the treasure. It can also generate a GIF of the exploration. section 9.0 section 9.3.1

Figure 9.1 Example of a small maze with a treasure (exit) on the edge

Use the small-maze figure to compare a treasure on the edge with the grid structure and route-finding goal. section 9.1

How Learn Go with Pocket-Sized Projects covers it

How deep it goes

Explains grid encoding, constraints, neighbor discovery, entrance scanning, concurrent exploration, and focused tests.

Examples

Demonstrates edge and internal treasures, colored PNG grids, dead ends, branches, crosses, and small exploration test images.

What it assumes

Assumes enough Go knowledge to implement a generator and introduces maze structure, image encoding, coordinates, and path adjacency.

What you can do after

Build a Go command-line solver that reads a PNG maze, finds its solution, highlights the route, and optionally creates an exploration GIF.

How it connects

Connects maze solving with graph theory, goroutines, channels, PNG images, RGBA colors, and linked lists.

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Also explained in

• 

  liveBookmanning.com
  Classic Computer Science Problems in Swift: Essential techniques for practicing programmersA navigational problem space consisting of connected locations and passages with a goal of finding a path between locations.

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Related concepts

• PNGuses · PNG is a lossless raster-image file format supporting indexed, grayscale, and truecolor images, with optional transparency and metadata.
• griduses · A grid is a regular arrangement of positions or cells organized by rows and columns or by fixed neighboring relationships.
• A-star algorithmmeasured by · A* is an informed graph-search algorithm that prioritizes paths or states by combining the cost incurred so far with a heuristic estimate of the remaining cost to a goal.
• breadth-first searchmeasured by · Breadth-first search is a graph or tree traversal algorithm that explores nodes in nondecreasing order of their distance from a starting node.
• depth-first searchmeasured by · Depth-first search is a graph or tree traversal algorithm that explores one branch as far as possible before backtracking to explore alternatives.

This explainer was generated by Manning's knowledge graph from the text of Learn Go with Pocket-Sized Projects. The section links point to the parts of the book it draws on.