A library for generating random-looking Hamiltonian paths (aka self-avoiding walks) on a 3D grid. For Hamiltonian paths on a 2D grid, see the library this was based on: https://github.com/oysterCrusher/hampath.
To generate a 3D Hamiltonian path object:
import { hampath3 } from 'hampath3';
const path = hampath3({
width: 12, // Optional. Width of the grid (Default: 4)
height: 12, // Optional. Height of the grid (Default: 4)
depth: 12, // Optional. Depth of the grid (Default: 4)
seed: "12345678" // Optional. Passing a seed will always produce the same pseudorandom result.
}); The path object generated has the form:
path = {
start : [1, 3, 1], // Coordinates of the start of the path
end : [2, 6, 4], // Coordinates of the end of the path
data : [[1, 3, 1], ... [2, 6, 4]] // Sequence of nodes along the path
}