data:image/png;base64,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data:image/png;base64,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

110i

121

I'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,X,X,X,O,O,O,O,9false-100,50100,50-100,0100,0-100,-50100,-50-50,100-50,-1000,1000,-10050,10050,-100-100,100100,-100-100,-100100,1002