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
These 5 mazes are already created for you.Replace the "Draw Maze 1" block with these blocks to display the other mazes. forward turn turnLeft setHeading doFaceTowards gotoXY doGotoObject doGlide changeXPosition setXPosition changeYPosition setYPosition bounceOffEdge xPosition yPosition direction1
data
mapmany1
data lists
1
1
140,-140
1,0,0,0,0,0,0,0
1,1,1,1,1,1,1,1
0,0,0,0,0,0,0,1
0,0,0,0,0,0,0,1
1,1,1,1,1,1,1,1
1,0,0,0,0,0,0,0
1,0,0,0,0,0,0,0
1,1,1,1,1,1,1,1
00