<snapdata remixID="11104083"><project name="Debug Assessment" app="Snap! 7, https://snap.berkeley.edu" version="2"><notes></notes><thumbnail>data:image/png;base64,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</thumbnail><scenes select="1"><scene name="Debug Assessment"><notes></notes><hidden></hidden><headers></headers><code></code><blocks><block-definition s="DrawPolygon %&apos;numSides #&apos;" type="command" category="pen"><header></header><code></code><translations></translations><inputs><input type="%s"></input></inputs><script><block s="doRepeat"><block var="numSides #"/><script><block s="forward"><l>25</l></block><block s="turn"><block s="reportQuotient"><l>360</l><block var="numSides #"/></block></block></script></block></script></block-definition></blocks><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" id="18"><pentrails>data:image/png;base64,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</pentrails><costumes><list struct="atomic" id="19"></list></costumes><sounds><list struct="atomic" id="20"></list></sounds><variables></variables><blocks></blocks><scripts></scripts><sprites select="1"><sprite name="Sprite" idx="1" x="18" y="125" heading="90" scale="1" volume="100" pan="0" rotation="1" draggable="true" costume="0" color="0,7,99,1" pen="tip" id="25"><costumes><list struct="atomic" id="26"></list></costumes><sounds><list struct="atomic" id="27"></list></sounds><blocks></blocks><variables></variables><scripts><script x="13" y="19.333333333333343"><block s="receiveGo"></block><block s="clear"></block><block s="up"></block><block s="gotoXY"><block s="reportRandom"><l>-180</l><l>180</l></block><block s="reportRandom"><l>-180</l><l>180</l></block></block><block s="doRepeat"><l>10</l><script><block s="doIfElse"><block s="reportLessThan"><block s="yPosition"></block><l>0</l></block><script><block s="gotoXY"><block s="reportRandom"><l>-180</l><l>180</l></block><block s="reportRandom"><l>-180</l><l>180</l></block></block><block s="setColor"><color>145,26,68,1</color></block><block s="down"></block><custom-block s="DrawPolygon %s"><l>3</l></custom-block><block s="doWait"><l>1</l></block><block s="up"></block></script><script><block s="gotoXY"><block s="reportRandom"><l>-180</l><l>180</l></block><block s="reportRandom"><l>-180</l><l>180</l></block></block><block s="setColor"><color>0,7,99,1</color></block><block s="down"></block><custom-block s="DrawPolygon %s"><l>4</l></custom-block><block s="doWait"><l>1</l></block><block s="up"></block></script></block></script></block></script></scripts></sprite></sprites></stage><variables></variables></scene></scenes></project><media name="Debug Assessment" app="Snap! 7, https://snap.berkeley.edu" version="2"></media></snapdata>