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data:image/png;base64,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

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!12

1datamapmany

data lists

110i

121

cont

catchtag

cont

catchtag

Sprite

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.

false1,X,3,O,X,6,O,X,9false-100,50100,50-100,0100,0-100,-50100,-50-50,100-50,-1000,1000,-10050,10050,-100-100,100100,-100-100,-100100,100