<snapdata remixID="14087039"><project name="Unit 7 Lab 2 Triangle Fractal change" app="Snap! 10.1-dev, https://snap.berkeley.edu" version="2"><notes></notes><thumbnail>data:image/png;base64,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</thumbnail><scenes select="1"><scene name="Unit 7 Lab 2 Triangle Fractal change"><notes></notes><hidden></hidden><headers></headers><code></code><blocks><block-definition s="triangle fractal 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><custom-block s="triangle size: %n"><block var="size"/></custom-block><block s="doIf"><block s="reportVariadicGreaterThan"><list><block var="level"/><l>1</l></list></block><script><block s="doRepeat"><l>3</l><script><custom-block s="triangle fractal level: %n size: %n"><block s="reportDifference"><block var="level"/><l>1</l></block><block s="reportVariadicProduct"><list><block var="size"/><l>.5</l></list></block></custom-block><block s="turnLeft"><l>120</l></block><block s="forward"><block var="size"/></block><custom-block s="triangle fractal level: %n size: %n"><block s="reportDifference"><block var="level"/><l>1</l></block><block s="reportVariadicProduct"><list><block var="size"/><l>.5</l></list></block></custom-block><block s="turnLeft"><l>120</l></block><block s="forward"><block var="size"/></block><custom-block s="triangle fractal level: %n size: %n"><block s="reportDifference"><block var="level"/><l>1</l></block><block s="reportVariadicProduct"><list><block var="size"/><l>.5</l></list></block></custom-block><block s="turnLeft"><l>120</l></block><block s="forward"><block var="size"/></block></script></block></script><list></list></block></script><scripts><script x="53.99999999999994" y="360.5"><custom-block s="triangle fractal level: %n size: %n"><block s="reportDifference"><block var="level"/><l>1</l></block><block s="reportVariadicProduct"><list><block var="size"/><l>.5</l></list></block></custom-block><block s="turnLeft"><l>120</l></block><block s="forward"><block var="size"/></block></script><script x="221.99999999999994" y="298.25"><block s="doWarp"><script></script></block></script></scripts></block-definition><block-definition s="triangle size: %&apos;size&apos;" type="command" category="looks"><header></header><code></code><translations></translations><inputs><input type="%n"></input></inputs><script><block s="down"></block><block s="forward"><block var="size"/></block><block s="turn"><l>120</l></block><block s="forward"><block var="size"/></block><block s="turn"><l>120</l></block><block s="forward"><block var="size"/></block><block s="up"></block></script></block-definition></blocks><primitives></primitives><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="101"><pentrails>data:image/png;base64,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</pentrails><costumes><list struct="atomic" id="102"></list></costumes><sounds><list struct="atomic" id="103"></list></sounds><variables></variables><blocks></blocks><scripts></scripts><sprites select="1"><sprite name="Sprite" idx="1" x="-35.182282024248934" y="85.9375" heading="240" scale="1" volume="100" pan="0" rotation="1" draggable="true" costume="0" color="80,80,80,1" pen="tip" id="108"><costumes><list struct="atomic" id="109"></list></costumes><sounds><list struct="atomic" id="110"></list></sounds><blocks></blocks><variables></variables><scripts><script x="102.999999" y="133.16666566666663"><block s="setHeading"><l>0</l></block><block s="doWarp"><script><custom-block s="triangle fractal level: %n size: %n"><l>8</l><l>100</l></custom-block></script></block></script><script x="86.999999" y="44.16666566666663"><block s="clear"></block><block s="setXPosition"><l>0</l></block><block s="setYPosition"><l>0</l></block></script></scripts></sprite></sprites></stage><variables></variables></scene></scenes></project><media name="Unit 7 Lab 2 Triangle Fractal change" app="Snap! 10.1-dev, https://snap.berkeley.edu" version="2"></media></snapdata>