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originally made this block for my own use, but then I thought, this could be VERY useful for 3D imagers and ray casters, considering Snap*!* doesn’t have a lot of good 3D blocks (for games, not computer science, the 3D beetle library is GOOD) I decided to make one. -Mrace0Last mouse y

240§_inputSlotsMenu 60 120 240 480 960 1920 400040.590§_collidablesMenu§_clonablesMenutrueFor the quality variables value, scan that many times. (Simplified)This gives the “swipe to look” effect for the vertical axisleftStage-150neg150-150neg150This starts displaying the rays that were graphed and recorded.90i1lengthwidthStagelength0.25-0.25flat line endsSelf explanatory

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