<snapdata remixID="13350699"><project name="Min Max Algorithms 2" app="Snap! 9.0, https://snap.berkeley.edu" 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</thumbnail><scenes select="1"><scene name="Min Max Algorithms 2"><notes></notes><hidden></hidden><headers></headers><code></code><blocks></blocks><stage 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" 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