<snapdata remixID="10095805"><project name="U3L1-FractalArt" app="Snap! 6, https://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" hyperops="true" 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="0" y="9.663381206337363e-13" heading="210" scale="1" volume="100" pan="0" rotation="1" draggable="true" costume="0" color="75,255,15,1" 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="180" y="94.83333333333317"><block s="clear"></block><block s="down"></block><block s="doRepeat"><l>3</l><script><block s="setColor"><color>255,58,4,1</color></block><block s="forward"><l>100</l></block><block s="doRepeat"><l>3</l><script><block s="setColor"><color>12,12,255,1</color></block><block s="forward"><l>50</l><comment w="90" collapsed="false">This instruction block is ran through 9 times throughout the whole script.</comment></block><block s="doRepeat"><l>3</l><script><block s="setColor"><color>75,255,15,1</color></block><block s="forward"><l>25</l></block><block s="turn"><l>120</l></block></script></block><block s="turn"><l>120</l></block></script></block><block s="turn"><l>120</l></block></script></block><block s="doWait"><l>2</l></block></script><comment x="336.3095703125" y="132.49999999999983" w="212" collapsed="false">This whole script goes though each different triangle nine times becaue there is 3 triangles that are getting repeated 3 times each. They all have different colors and get smaller when they are nested inside of one of the other triangles script.</comment><script x="456" y="425.4999999999998"><block s="clear"></block><block s="down"></block><custom-block s="nested triangle ,size %n"><l>100</l></custom-block></script></scripts></sprite></sprites></stage><hidden></hidden><headers></headers><code></code><blocks><block-definition s="nested triangle ,size %&apos;size&apos;" type="command" category="motion"><header></header><code></code><translations></translations><inputs><input type="%n"></input></inputs><script><block s="doIf"><block s="reportGreaterThan"><block var="size"/><l>9</l></block><script><block s="doRepeat"><l>3</l><script><block s="forward"><block var="size"/></block><custom-block s="nested triangle ,size %n"><block s="reportQuotient"><block var="size"/><l>2</l></block></custom-block><block s="turn"><l>120</l></block></script></block></script></block></script></block-definition></blocks><variables></variables></project><media name="U3L1-FractalArt" app="Snap! 6, https://snap.berkeley.edu" version="1"></media></snapdata>