<snapdata remixID="12030189"><project name="3.1 Abstraction &amp; Generalization&#xD;" app="Snap! 7, https://snap.berkeley.edu" 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select="1"><scene name="3.1 Abstraction &amp; Generalization&#xD;"><notes></notes><hidden></hidden><headers></headers><code></code><blocks><block-definition s="draw polygon %&apos;side&apos;" type="command" category="pen"><header></header><code></code><translations></translations><inputs><input type="%s"></input></inputs><script><block s="up"></block><block s="clear"></block><block s="setHeading"><l>90</l></block><block s="gotoXY"><l>0</l><l>150</l></block><block s="down"></block><block s="doIfElse"><block s="reportLessThan"><block var="side"/><l>3</l></block><script><block s="doSayFor"><l>Error!</l><l>1</l></block><block s="doSayFor"><l>These many sides do not create any polygon.</l><l>2</l></block></script><script><block s="doRepeat"><block var="side"/><script><block s="forward"><l>50</l></block><block s="turn"><block s="reportDifference"><l>180</l><block s="reportVariadicProduct"><list><block s="reportDifference"><block var="side"/><l>2</l></block><block s="reportQuotient"><l>180</l><block var="side"/></block></list></block></block></block></script></block></script></block></script></block-definition></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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</pentrails><costumes><list 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" app="Snap! 7, https://snap.berkeley.edu" version="2"></media></snapdata>