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
forward turn turnLeft setHeading doFaceTowards gotoXY doGotoObject doGlide changeXPosition setXPosition changeYPosition setYPosition bounceOffEdge xPosition yPosition direction1
data
mapmany1
data lists
1
1
140,-140
1,1,1,1,1,0,0,0
0,0,0,0,1,0,0,0
0,0,0,0,1,0,0,0
0,0,0,0,1,1,1,1
0,0,0,0,0,0,0,1
0,0,0,0,0,0,0,1
0,0,0,0,0,0,0,1
0,0,0,0,0,0,0,1