data:image/png;base64,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:image/png;base64,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 statement where if theres a winning triple in the board, it will stopX's turn?LABEL 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 lists11110i121cont3catchtagcontcatchtagSpriteSpriteI'm kind of bummed that I didn't find a beautiful one-line solution using FIND FIRST, but it just gives the value it finds, not the position in the list, which is what we need to find the line endpoints in WIN LINES. So it's a plain old fashioned FOR loop.falseX,2,O,O,X,6,X,O,Xfalse-100,50100,50-100,0100,0-100,-50100,-50-50,100-50,-1000,1000,-10050,10050,-100-100,100100,-100-100,-100100,100