<snapdata remixID="9785840"><project name="13. assignment-lab 2.2-30 points" app="Snap! 6, https://snap.berkeley.edu" 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name="Stage" width="480" height="360" costume="0" color="255,255,255,1" tempo="60" threadsafe="false" penlog="false" volume="100" pan="0" lines="round" ternary="false" hyperops="true" codify="false" inheritance="true" sublistIDs="false" scheduled="false" 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