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Replace the "Draw Maze 1" block with these blocks to display the other mazes.5 mazes are already created for you.Edit these remaining blocks to solve other mazes. Be sure to swap with "Escape Maze 1" block.Click on the Board sprite to access the maze drawing blocks.Challenge: Create the onBoard predicate, and the Escape Any Maze Block so that your Robot can solve any maze forward turn turnLeft setHeading doFaceTowards gotoXY doGotoObject doGlide changeXPosition setXPosition changeYPosition setYPosition bounceOffEdge xPosition yPosition direction013510-109034413177LABEL will stamp text on the stage at the given font size. The direction of the text is the direction the sprite is facing, and color will match the pen color.Hello!121datamapmany1data lists11110i121cont3catchtagcontcatchtagSpriteSpriteThis block should report False, if the row is not on the board, or the col is not on the board.
It should report True if the row and col are both on the board.25240140,-1401,0,0,0,0,0,0,01,1,1,1,1,1,1,10,0,0,0,0,0,0,10,0,0,0,0,0,0,11,1,1,1,1,1,1,11,0,0,0,0,0,0,01,0,0,0,0,0,0,01,1,1,1,1,1,1,1-140,140