<snapdata remixID="11700193"><project name="Using variables and answer variable for shapes" 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="Using variables and answer variable for shapes"><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="-2.0463630789890885e-12" y="-2.2737367544323206e-13" heading="89.99999999999943" scale="1" volume="100" pan="0" rotation="1" draggable="true" costume="0" color="80,80,80,1" 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="270" y="50.5"><block s="doRepeat"><l>3</l><script><block s="doAsk"><l>How many sides</l></block><block s="doSetVar"><l>NumSides</l><block s="getLastAnswer"></block></block><block s="doSetVar"><l>Angle</l><block s="reportQuotient"><l>360</l><block var="NumSides"/></block></block><block s="doAsk"><l>What should side length be</l></block><block s="doSetVar"><l>SideLength</l><block s="getLastAnswer"></block></block><block s="down"></block><block s="doRepeat"><block var="NumSides"/><script><block s="forward"><block var="SideLength"/></block><block s="turn"><block var="Angle"/></block></script></block></script></block><block s="up"></block></script></scripts></sprite><watcher var="Angle" style="normal" x="10.000000000000227" y="10" color="243,118,29"/><watcher var="NumSides" style="normal" x="10.000000000000227" y="31.00000199999998" color="243,118,29"/><watcher var="SideLength" style="normal" x="10.000000000000227" y="52.00000399999999" color="243,118,29"/><watcher scope="Stage" s="getLastAnswer" style="normal" x="10.000000000000227" y="73.00000599999996" color="4,148,220"/></sprites></stage><variables><variable name="Angle"><l>60</l></variable><variable name="NumSides"><l>6</l></variable><variable name="SideLength"><l>50</l></variable></variables></scene></scenes></project><media name="Using variables and answer variable for shapes" app="Snap! 7, https://snap.berkeley.edu" version="2"></media></snapdata>