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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
1,1,0,0,0,0,0,0
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
0,0,0,0,1,1,1,0
0,0,0,0,0,0,1,1
0,0,0,0,0,0,0,1