<snapdata remixID="13441558"><project name="Fractials" app="Snap! 9.0, https://snap.berkeley.edu" version="2"><notes>Use this to find different fractials!&#xD;Use the keys 1, 2, 3, 4, 5, 6, 7, 8, 9, 0, a, b for different fractials&#xD;This was inspired by the many other fractial codes on this website</notes><thumbnail>data:image/png;base64,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</thumbnail><scenes select="1"><scene name="Fractials"><notes>Use this to find different fractials!&#xD;Use the keys 1, 2, 3, 4, 5, 6, 7, 8, 9, 0, a, b for different fractials&#xD;This was inspired by the many other fractial codes on this website</notes><hidden></hidden><headers></headers><code></code><blocks><block-definition s="initialize variables %&apos;s&apos; %&apos;size&apos;" type="command" category="variables"><header></header><code></code><translations></translations><inputs><input type="%n"></input><input type="%n"></input></inputs><script><block s="doSetVar"><l>sides</l><block var="s"/></block><block s="doSetVar"><l>points</l><block s="reportVariadicProduct"><list><block var="size"/><block s="reportMap"><block s="reifyReporter"><autolambda><block s="reportNewList"><list><block s="reportMonadic"><l><option>sin</option></l><block s="reportVariadicProduct"><list><l></l><block s="reportQuotient"><l>360</l><block var="sides"/></block></list></block></block><block s="reportMonadic"><l><option>cos</option></l><block s="reportVariadicProduct"><list><l></l><block s="reportQuotient"><l>360</l><block var="sides"/></block></list></block></block></list></block></autolambda><list></list></block><block s="reportDifference"><block s="reportNumbers"><l>1</l><block var="sides"/></block><l>1</l></block></block></list></block></block><block s="doSetVar"><l>point num</l><l>1</l></block><block s="doSetVar"><l>previous point num</l><l>0</l></block></script></block-definition><block-definition s="pick point %&apos;constraint&apos;" type="command" category="variables"><header></header><code></code><translations></translations><inputs><input type="%predRing"></input></inputs><script><block s="doSetVar"><l>previous point num</l><block var="point num"/></block><block s="doSetVar"><l>point num</l><block s="reportRandom"><l>1</l><block s="reportListAttribute"><l><option>length</option></l><block var="points"/></block></block></block><block s="doUntil"><block s="evaluate"><block var="constraint"/><list><block var="point num"/><block var="previous point num"/></list></block><script><block s="doSetVar"><l>point num</l><block s="reportRandom"><l>1</l><block s="reportListAttribute"><l><option>length</option></l><block var="points"/></block></block></block></script></block></script></block-definition><block-definition s="draw point %&apos;current pos fac&apos; %&apos;point fac&apos;" type="command" category="motion"><header></header><code></code><translations></translations><inputs><input type="%n"></input><input type="%n"></input></inputs><script><block s="gotoXY"><block s="reportVariadicSum"><list><block s="reportVariadicProduct"><list><block s="xPosition"></block><block var="current pos fac"/></list></block><block s="reportVariadicProduct"><list><block s="reportListItem"><l>1</l><block s="reportListItem"><block var="point num"/><block var="points"/></block></block><block var="point fac"/></list></block></list></block><block s="reportVariadicSum"><list><block s="reportVariadicProduct"><list><block s="yPosition"></block><block var="current pos fac"/></list></block><block s="reportVariadicProduct"><list><block s="reportListItem"><l>2</l><block s="reportListItem"><block var="point num"/><block var="points"/></block></block><block var="point fac"/></list></block></list></block></block><block s="down"></block><block s="changeXPosition"><l>0.1</l></block><block s="changeXPosition"><l>-0.1</l></block><block s="up"></block></script></block-definition><block-definition s="// %&apos;comment&apos;" type="command" category="other"><header></header><code></code><translations></translations><inputs><input type="%txt"></input></inputs></block-definition><block-definition s="phi" type="reporter" category="operators"><header></header><code></code><translations></translations><inputs></inputs><script><block s="doReport"><block s="reportQuotient"><block s="reportVariadicSum"><list><l>1</l><block s="reportMonadic"><l><option>sqrt</option></l><l>5</l></block></list></block><l>2</l></block></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" 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</pentrails><costumes><list 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s="reportQuotient"><l>1</l><l>2</l></block></custom-block></script></block></script><script x="43" y="1078.333333333333"><block s="receiveKey"><l><option>6</option></l><list></list></block><block s="clear"></block><custom-block s="// %txt"><l>vicsek snowflake</l></custom-block><custom-block s="initialize variables %n %n"><l>4</l><l>250</l></custom-block><block s="doAddToList"><block s="reportNewList"><list><l>0</l><l>0</l></list></block><block var="points"/></block><block s="doForever"><script><custom-block s="pick point %predRing"><block s="reifyPredicate"><autolambda><block s="reportBoolean"><l><bool>true</bool></l></block></autolambda><list><l>#1</l><l>#2</l></list></block></custom-block><custom-block s="draw point %n %n"><block s="reportQuotient"><l>1</l><l>3</l></block><block s="reportQuotient"><l>1</l><l>3</l></block></custom-block></script></block></script><script x="457" y="13.666666666666288"><block s="receiveKey"><l><option>7</option></l><list></list></block><block s="clear"></block><custom-block s="initialize variables %n %n"><l>6</l><l>150</l></custom-block><block s="doForever"><script><custom-block s="pick point %predRing"><block s="reifyPredicate"><autolambda><block s="reportNot"><block s="reportVariadicEquals"><list><block s="reportModulus"><block var="#1"/><l>2</l></block><block s="reportModulus"><block var="#2"/><l>2</l></block></list></block></block></autolambda><list><l>#1</l><l>#2</l></list></block></custom-block><custom-block s="draw point %n %n"><block s="reportQuotient"><l>1</l><l>2</l></block><block s="reportQuotient"><l>1</l><l>2</l></block></custom-block></script></block></script><script x="456" y="181.6666666666664"><block s="receiveKey"><l><option>8</option></l><list></list></block><block s="clear"></block><custom-block s="initialize variables %n %n"><l>6</l><l>150</l></custom-block><block s="doForever"><script><custom-block s="pick point %predRing"><block s="reifyPredicate"><autolambda><block s="reportNot"><block s="reportVariadicEquals"><list><block s="reportModulus"><block var="#1"/><l>3</l></block><block s="reportModulus"><block var="#2"/><l>3</l></block></list></block></block></autolambda><list><l>#1</l><l>#2</l></list></block></custom-block><custom-block s="draw point %n %n"><block s="reportQuotient"><l>1</l><l>2</l></block><block s="reportQuotient"><l>1</l><l>2</l></block></custom-block></script></block></script><script x="442" y="347.6666666666664"><block s="receiveKey"><l><option>9</option></l><list></list></block><block s="clear"></block><custom-block s="initialize variables %n %n"><l>8</l><l>150</l></custom-block><block s="doForever"><script><custom-block s="pick point %predRing"><block s="reifyPredicate"><autolambda><block s="reportVariadicLessThan"><list><block s="reportVariadicSum"><list><block var="#1"/><block var="#2"/></list></block><l>8</l></list></block></autolambda><list><l>#1</l><l>#2</l></list></block></custom-block><custom-block s="draw point %n %n"><block s="reportQuotient"><l>1</l><l>2</l></block><block s="reportQuotient"><l>1</l><l>2</l></block></custom-block></script></block></script><script x="868.9999999999998" y="19.333333333333826"><block s="receiveKey"><l><option>b</option></l><list></list></block><block s="clear"></block><custom-block s="initialize variables %n %n"><l>3</l><l>180</l></custom-block><block s="doForever"><script><custom-block s="pick point %predRing"><block s="reifyPredicate"><autolambda><block s="reportBoolean"><l><bool>true</bool></l></block></autolambda><list><l>#1</l><l>#2</l></list></block></custom-block><custom-block s="draw point %n %n"><block s="reportQuotient"><l>1</l><l>2</l></block><block s="reportQuotient"><l>1</l><l>2</l></block></custom-block><custom-block s="pick point %predRing"><block s="reifyPredicate"><autolambda><block s="reportBoolean"><l><bool>true</bool></l></block></autolambda><list><l>#1</l><l>#2</l></list></block></custom-block><custom-block s="draw point %n %n"><block s="reportQuotient"><l>1</l><l>3</l></block><block s="reportQuotient"><l>1</l><l>3</l></block></custom-block></script></block></script><script x="873.9999999999998" y="225.00000000000034"><block s="receiveKey"><l><option>a</option></l><list></list></block><block s="clear"></block><custom-block s="initialize variables %n %n"><l>3</l><l>150</l></custom-block><block s="doForever"><script><custom-block s="pick point %predRing"><block s="reifyPredicate"><autolambda><block s="reportBoolean"><l><bool>true</bool></l></block></autolambda><list><l>#1</l><l>#2</l></list></block></custom-block><custom-block s="draw point %n %n"><block s="reportQuotient"><l>1</l><l>2</l></block><block s="reportQuotient"><l>1</l><l>2</l></block></custom-block><custom-block s="pick point %predRing"><block s="reifyPredicate"><autolambda><block s="reportBoolean"><l><bool>true</bool></l></block></autolambda><list><l>#1</l><l>#2</l></list></block></custom-block><custom-block s="draw point %n %n"><block s="reportQuotient"><l>2</l><l>3</l></block><block s="reportQuotient"><l>1</l><l>3</l></block></custom-block></script></block></script><script x="36" y="846.666666666666"><block s="receiveKey"><l><option>5</option></l><list></list></block><block s="clear"></block><custom-block s="// %txt"><l>if you want to get more advanced, points can also be set manually</l></custom-block><custom-block s="// %txt"><l>here&apos;s a sierpiński carpet</l></custom-block><block s="doSetVar"><l>points</l><block s="reportNewList"><list><block s="reportNewList"><list><l>200</l><l>0</l></list></block><block s="reportNewList"><list><l>200</l><l>200</l></list></block><block s="reportNewList"><list><l>0</l><l>200</l></list></block><block s="reportNewList"><list><l>-200</l><l>200</l></list></block><block s="reportNewList"><list><l>-200</l><l>0</l></list></block><block s="reportNewList"><list><l>-200</l><l>-200</l></list></block><block s="reportNewList"><list><l>0</l><l>-200</l></list></block><block s="reportNewList"><list><l>200</l><l>-200</l></list></block></list></block></block><block s="doForever"><script><custom-block s="pick point %predRing"><block s="reifyPredicate"><autolambda><block s="reportBoolean"><l><bool>true</bool></l></block></autolambda><list><l>#1</l><l>#2</l></list></block></custom-block><custom-block s="draw point %n %n"><block s="reportQuotient"><l>1</l><l>3</l></block><block s="reportQuotient"><l>1</l><l>3</l></block></custom-block></script></block></script></scripts></sprite><watcher var="point num" style="normal" x="9.999999999999602" y="10.000000000000028" color="243,118,29" hidden="true"/><watcher var="sides" style="normal" x="9.999999999999602" y="31.00000200000004" color="243,118,29" hidden="true"/><watcher var="previous point num" style="normal" x="98.71690427698559" y="3.4052993156822584" color="243,118,29" hidden="true"/><watcher var="points" style="normal" x="5.600814663951055" y="52.26273112423621" color="243,118,29" extX="80" extY="25" hidden="true"/></sprites></stage><variables><variable name="points"><list id="705"><item><list struct="atomic" id="706">200,0</list></item><item><list struct="atomic" id="707">200,200</list></item><item><list struct="atomic" id="708">0,200</list></item><item><list struct="atomic" id="709">-200,200</list></item><item><list struct="atomic" id="710">-200,0</list></item><item><list struct="atomic" id="711">-200,-200</list></item><item><list struct="atomic" id="712">0,-200</list></item><item><list struct="atomic" id="713">200,-200</list></item></list></variable><variable name="point num"><l>4</l></variable><variable name="sides"><l>6</l></variable><variable name="previous point num"><l>4</l></variable></variables></scene></scenes></project><media name="Fractials" app="Snap! 9.0, https://snap.berkeley.edu" version="2"></media></snapdata>