<snapdata remixID="9370376"><project name="U7L2-Levy C-Curve" app="Snap! 5.4, http://snap.berkeley.edu" version="1"><notes></notes><thumbnail>data:image/png;base64,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</thumbnail><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" codify="false" inheritance="true" sublistIDs="false" scheduled="false" id="1"><pentrails>data:image/png;base64,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</pentrails><costumes><list struct="atomic" id="2"></list></costumes><sounds><list struct="atomic" id="3"></list></sounds><variables></variables><blocks></blocks><scripts></scripts><sprites><sprite name="Sprite" idx="1" x="56.07284869966679" y="0" heading="90" scale="1" volume="100" pan="0" rotation="1" draggable="true" costume="0" color="80,80,80,1" pen="tip" id="8"><costumes><list struct="atomic" id="9"></list></costumes><sounds><list struct="atomic" id="10"></list></sounds><blocks></blocks><variables></variables><scripts><script x="45" y="79"><block s="gotoXY"><l>0</l><l>0</l></block><block s="setHeading"><l>90</l></block><block s="clear"></block></script><script x="47.000001" y="187.800001"><custom-block s="Levy C-Curve level: %s size: %s"><l>10</l><l>.1</l><comment w="90" collapsed="false">there are 2 pieces of the fractal, each with a factor of &#xD;√2/2 the size of the whole.</comment></custom-block></script></scripts></sprite></sprites></stage><hidden></hidden><headers></headers><code></code><blocks><block-definition s="Levy C-Curve level: %&apos;level&apos; size: %&apos;size&apos;" type="command" category="looks"><header></header><code></code><translations></translations><inputs><input type="%s"></input><input type="%s"></input></inputs><script><block s="down"></block><block s="doIfElse"><block s="reportEquals"><block var="level"/><l>1</l></block><script><block s="forward"><block var="size"/></block></script><script><block s="turn"><l>45</l></block><custom-block s="Levy C-Curve level: %s size: %s"><block s="reportDifference"><block var="level"/><l>1</l></block><block s="reportQuotient"><block var="size"/><l>.7</l></block></custom-block><block s="turnLeft"><l>90</l></block><custom-block s="Levy C-Curve level: %s size: %s"><block s="reportDifference"><block var="level"/><l>1</l></block><block s="reportQuotient"><block var="size"/><l>.7</l></block></custom-block><block s="turn"><l>45</l></block></script></block></script></block-definition></blocks><variables></variables></project><media name="U7L2-Levy C-Curve" app="Snap! 5.4, http://snap.berkeley.edu" version="1"></media></snapdata>