<snapdata remixID="13500807"><project name="Levy C curve" app="Snap! 9.0, https://snap.berkeley.edu" version="2"><notes></notes><thumbnail>data:image/png;base64,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</thumbnail><scenes select="1"><scene name="Levy C curve"><notes></notes><hidden></hidden><headers></headers><code></code><blocks><block-definition s="Housekeeping" type="command" category="other"><header></header><code></code><translations></translations><inputs></inputs><script><block s="gotoXY"><l>0</l><l>0</l></block><block s="setHeading"><l>90</l></block><block s="clear"></block><block s="down"></block></script></block-definition><block-definition s="C-curve level: %&apos;level&apos; size: %&apos;size&apos;" type="command" category="looks"><header></header><code></code><translations></translations><inputs><input type="%n"></input><input type="%n"></input></inputs><script><block s="doIfElse"><block s="reportVariadicEquals"><list><block var="level"/><l>1</l></list></block><script><block s="forward"><block var="size"/></block></script><script><block s="turnLeft"><l>45</l></block><custom-block s="C-curve level: %n size: %n"><block s="reportDifference"><block var="level"/><l>1</l></block><block s="reportQuotient"><block var="size"/><block s="reportMonadic"><l><option>sqrt</option></l><l>2</l></block></block></custom-block><block s="turn"><l>90</l></block><custom-block s="C-curve level: %n size: %n"><block s="reportDifference"><block var="level"/><l>1</l></block><block s="reportQuotient"><block var="size"/><block s="reportMonadic"><l><option>sqrt</option></l><l>2</l></block></block></custom-block><block s="turnLeft"><l>45</l></block></script></block></script></block-definition><block-definition s="C-curve level: %&apos;level&apos; size: %&apos;size&apos; angle: %&apos;angle&apos;" type="command" category="looks"><header></header><code></code><translations></translations><inputs><input type="%n"></input><input type="%n"></input><input type="%n"></input></inputs><script><block s="doIfElse"><block s="reportVariadicEquals"><list><block var="level"/><l>1</l></list></block><script><block s="forward"><block var="size"/></block></script><script><block s="turnLeft"><block var="angle"/></block><custom-block s="C-curve level: %n size: %n angle: %n"><block s="reportDifference"><block var="level"/><l>1</l></block><block s="reportQuotient"><block var="size"/><block s="reportVariadicProduct"><list><l>2</l><block s="reportMonadic"><l><option>cos</option></l><block var="angle"/></block></list></block></block><block var="angle"/></custom-block><block s="turn"><block s="reportVariadicProduct"><list><l>2</l><block var="angle"/></list></block></block><custom-block s="C-curve level: %n size: %n angle: %n"><block s="reportDifference"><block var="level"/><l>1</l></block><block s="reportQuotient"><block var="size"/><block s="reportVariadicProduct"><list><l>2</l><block s="reportMonadic"><l><option>cos</option></l><block var="angle"/></block></list></block></block><block var="angle"/></custom-block><block s="turnLeft"><block var="angle"/></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" id="121"><pentrails>data:image/png;base64,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</pentrails><costumes><list struct="atomic" id="122"></list></costumes><sounds><list struct="atomic" id="123"></list></sounds><variables></variables><blocks></blocks><scripts></scripts><sprites select="1"><sprite name="Sprite" idx="1" x="150" y="0" heading="90" scale="1" volume="100" pan="0" rotation="1" draggable="true" costume="0" color="80,80,80,1" pen="tip" id="128"><costumes><list struct="atomic" id="129"></list></costumes><sounds><list struct="atomic" id="130"></list></sounds><blocks></blocks><variables></variables><scripts><script x="318.999999" y="171.999999"><block s="receiveGo"></block><block s="doFor"><l>angle</l><l>0</l><l>45</l><script><custom-block s="Housekeeping"></custom-block><block s="doWarp"><script><custom-block s="C-curve level: %n size: %n angle: %n"><l>10</l><l>150</l><block var="angle"/></custom-block></script></block></script></block></script></scripts></sprite></sprites></stage><variables></variables></scene></scenes></project><media name="Levy C curve" app="Snap! 9.0, https://snap.berkeley.edu" version="2"></media></snapdata>