<snapdata remixID="11970159"><project name="3.6 polygon problem solving " 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="3.6 polygon problem solving "><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" id="5"><pentrails>data:image/png;base64,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</pentrails><costumes><list struct="atomic" id="6"></list></costumes><sounds><list struct="atomic" id="7"></list></sounds><variables></variables><blocks></blocks><scripts></scripts><sprites select="1"><sprite name="Sprite" idx="1" x="-78.17174033780157" y="-113.89484859308243" heading="330" scale="1" volume="100" pan="0" rotation="1" draggable="true" costume="0" color="227,6,0,1" pen="tip" id="12"><costumes><list struct="atomic" id="13"></list></costumes><sounds><list struct="atomic" id="14"></list></sounds><blocks></blocks><variables></variables><scripts><script x="587" y="172.33333333333337"><block s="receiveGo"></block><block s="clear"></block><block s="up"></block><block s="gotoXY"><l>-101</l><l>70</l></block><block s="setHeading"><l>90</l></block><block s="down"></block><block s="doRepeat"><l>4</l><script><block s="setColor"><color>42,43,255,1</color></block><block s="forward"><l>230</l></block><block s="turn"><l>90</l></block></script></block><block s="up"></block><block s="gotoXY"><l>-2</l><l>70</l></block><block s="setColor"><color>227,6,0,1</color></block><block s="down"></block><block s="doRepeat"><l>40</l><script><block s="forward"><l>30</l></block><block s="turn"><l>15</l></block></script></block></script></scripts></sprite></sprites></stage><variables></variables></scene></scenes></project><media name="3.6 polygon problem solving " app="Snap! 7, https://snap.berkeley.edu" version="2"></media></snapdata>