<snapdata remixID="9361074"><project name="U7L2-KochSnowflake" 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="139.50247926994962" 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="20" y="20"><block s="setHeading"><l>0</l></block><block s="gotoXY"><l>0</l><l>0</l></block><block s="clear"></block><block s="down"></block><custom-block s="Koch curve level: %n size: %n"><l>5</l><l>100</l></custom-block><block s="turn"><l>120</l></block><custom-block s="Koch curve level: %n size: %n"><l>5</l><l>100</l></custom-block><block s="turn"><l>120</l></block><custom-block s="Koch curve level: %n size: %n"><l>5</l><l>100</l></custom-block><block s="turn"><l>120</l></block></script><comment x="57" y="251" w="90" collapsed="false">Snowflake.</comment><comment x="504" y="245" w="90" collapsed="false">BONUS.</comment><script x="460" y="124"><block s="setHeading"><l>90</l></block><block s="gotoXY"><l>-100</l><l>0</l></block><block s="clear"></block><block s="down"></block><custom-block s="Unique Koch curve level: %n size: %n angle: %n"><l>4</l><l>500</l><l>80</l></custom-block></script></scripts></sprite></sprites></stage><hidden></hidden><headers></headers><code></code><blocks><block-definition s="Koch 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="reportEquals"><block var="level"/><l>1</l></block><script><block s="forward"><block var="size"/></block></script><script><custom-block s="Koch curve level: %n size: %n"><block s="reportDifference"><block var="level"/><l>1</l></block><block s="reportQuotient"><block var="size"/><l>3</l></block></custom-block><block s="turnLeft"><l>60</l></block><custom-block s="Koch curve level: %n size: %n"><block s="reportDifference"><block var="level"/><l>1</l></block><block s="reportQuotient"><block var="size"/><l>3</l></block></custom-block><block s="turnLeft"><l>-120</l></block><custom-block s="Koch curve level: %n size: %n"><block s="reportDifference"><block var="level"/><l>1</l></block><block s="reportQuotient"><block var="size"/><l>3</l></block></custom-block><block s="turnLeft"><l>60</l></block><custom-block s="Koch curve level: %n size: %n"><block s="reportDifference"><block var="level"/><l>1</l></block><block s="reportQuotient"><block var="size"/><l>3</l></block></custom-block></script></block></script></block-definition><block-definition s="Unique Koch 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="reportEquals"><block var="level"/><l>1</l></block><script><block s="forward"><block var="size"/></block></script><script><custom-block s="Unique Koch curve level: %n size: %n angle: %n"><block s="reportDifference"><block var="level"/><l>1</l></block><block s="reportQuotient"><block var="size"/><l>3</l></block><block var="angle"/></custom-block><block s="turnLeft"><block var="angle"/></block><custom-block s="Unique Koch curve level: %n size: %n angle: %n"><block s="reportDifference"><block var="level"/><l>1</l></block><block s="reportQuotient"><block var="size"/><l>3</l></block><block var="angle"/></custom-block><block s="turnLeft"><block s="reportProduct"><l>-2</l><block var="angle"/></block></block><custom-block s="Unique Koch curve level: %n size: %n angle: %n"><block s="reportDifference"><block var="level"/><l>1</l></block><block s="reportQuotient"><block var="size"/><l>3</l></block><block var="angle"/></custom-block><block s="turnLeft"><block var="angle"/></block><custom-block s="Unique Koch curve level: %n size: %n angle: %n"><block s="reportDifference"><block var="level"/><l>1</l></block><block s="reportQuotient"><block var="size"/><l>3</l></block><block var="angle"/></custom-block></script></block></script></block-definition></blocks><variables></variables></project><media name="U7L2-KochSnowflake" app="Snap! 5.4, http://snap.berkeley.edu" version="1"></media></snapdata>