g = DistanceGrid(nRows, nColumns)
Backtrack.create(g)
g.compute_distances(g[0,0])
print g
elif args.solution_grid:
g = SolutionGrid(nRows, nColumns)
Backtrack.create(g)
g.solve(g[0,0], g[nRows-1, nColumns-1])
print g
elif args.grid:
g = Grid(nRows, nColumns)
Backtrack.create(g)
print g
elif args.masked_grid:
# m = Mask(nRows, nColumns)
# m[0, 0] = False
# m[1, 1] = False
# m[2, 2] = False
# m[3, 3] = False
# m = Mask.from_image('maze_text.png')
m = Mask.from_image('images/templates/circle.png')
g = MaskedGrid(m)
Backtrack.create(g)
MazeDraw(g, "BT").draw()
elif args.draw:
g = SolutionGrid(nRows, nColumns)
Backtrack.create(g)
g.solve(g[0,0], g[nRows-1, nColumns-1])
MazeDraw(g, "Backtracking Method").draw()
"Draw an image of a maze where the maze is created from a mask specified in a B&W image file"
)
mimg_rc_group = mimg_parser.add_argument_group()
mimg_rc_group.add_argument('mask_img', type=file, help="Masked image")
args = parser.parse_args()
if args.subparser_name == "grid":
g = Grid(args.r, args.c)
algo_cb[args.algo](g)
print g
elif args.subparser_name == "distance-grid":
g = DistanceGrid(args.r, args.c)
algo_cb[args.algo](g)
g.compute_distances(g[args.R, args.C])
print g
elif args.subparser_name == "solution-grid":
g = SolutionGrid(args.r, args.c)
algo_cb[args.algo](g)
g.solve(g[args.sr, args.sc], g[args.er, args.ec])
print g
elif args.subparser_name == "masked-image":
m = Mask.from_image(args.mask_img)
g = MaskedGrid(m)
Backtrack.create(g)
MazeDraw(g, 'Maze ' + timestamp()).draw()
elif args.subparser_name == "image":
g = Grid(args.r, args.c)
Backtrack.create(g)
MazeDraw(g, 'Maze ' + timestamp()).draw()
