gtravyl 0.1.6

A simple to use library for finding the shortest path in a grid.

gtravyl

gtravyl provides an easy way to take a grid-like layout and compute the shortest distance from any two desired cells in the grid.

How does it work?

Suppose you are trying to create a real time strategy game. You may have a grid-like map internally represented as a numpy array. It might look something like:

0001111
0001111
0000000
1101110
1101110

where the 1 indicates you cannot travel into that cell. Now you want to move a character that is in the cell with index (0, 0) to the bottom right corner. Ideally, you would like to know the shortest path too. This can be done easily with gtravyl, observe:

import numpy as np
import gtravyl as gt
world = np.array([[0, 0, 0, 1, 1, 1, 1],
                  [0, 0, 0, 1, 1, 1, 1],
                  [0, 0, 0, 0, 0, 0, 0],
                  [1, 1, 0, 1, 1, 1, 0],
                  [1, 1, 0, 1, 1, 1, 0]])
path = gt.shortest_path(world, (0, 0), (4, 6))
for cell in path:
    world[cell] = 2

print(world)

This gives a path (represented by the cells with 2) that looks like one should expect:

[[2 2 2 1 1 1 1]
 [0 0 2 1 1 1 1]
 [0 0 2 2 2 2 2]
 [1 1 0 1 1 1 2]
 [1 1 0 1 1 1 2]]

Documentation

More documentation can be found on readthedocs.