<snapdata remixID="12365012"><project name="Eewrwerf" app="Snap! 8.2, https://snap.berkeley.edu" version="2"><notes>See inside this project for a whole lot of L-System rules that generate a wide range of fractals and patterns.&#xD;&#xD;This was fun to make!</notes><thumbnail>data:image/png;base64,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</thumbnail><scenes select="1"><scene name="Eewrwerf"><notes>See inside this project for a whole lot of L-System rules that generate a wide range of fractals and patterns.&#xD;&#xD;This was fun to make!</notes><hidden></hidden><headers></headers><code></code><blocks><block-definition s="draw L-System axiom %&apos;axiom&apos; with rewrite rules %&apos;rules&apos; for %&apos;iterations&apos; iterations with step size %&apos;step length&apos; angle %&apos;angle&apos; and length factor %&apos;factor&apos;" type="command" category="pen"><comment x="0" y="0" w="334" collapsed="false">I implement the following rules:&#xD;   F	         Move forward by line length drawing a line&#xD;   f	         Move forward by line length without drawing a line&#xD;   +	         Turn left by turning angle&#xD;   -	         Turn right by turning angle&#xD;   [	         Push current drawing state onto stack&#xD;   ]	         Pop current drawing state from the stack&#xD;  &gt;	         Multiply the line length by the line length scale factor&#xD;   &lt;	         Divide the line length by the line length scale factor&#xD;   |	         Reverse direction (ie: turn by 180 degrees)&#xD;&#xD;I don&apos;t implement these:&#xD;   #	         Increment the line width by line width increment&#xD;   !	         Decrement the line width by line width increment&#xD;   @	         Draw a dot with line width radius&#xD;   {	         Open a polygon&#xD;   }	         Close a polygon and fill it with fill colour&#xD;   &amp;	         Swap the meaning of + and -&#xD;   (	         Decrement turning angle by turning angle increment&#xD;   )	         Increment turning angle by turning angle increment</comment><header></header><code></code><translations></translations><inputs><input type="%s"></input><input type="%mult%s"></input><input type="%n"></input><input type="%n"></input><input type="%n"></input><input type="%n"></input></inputs><script><block s="doDeclareVariables"><list><l>stack</l><l>commands</l><l>steps</l></list></block><block s="doSetVar"><l>steps</l><block var="step length"/></block><block s="doSetVar"><l>commands</l><block s="reportNewList"><list><block s="reportNewList"><list><l>+</l><block s="reifyScript"><script><block s="turnLeft"><block var="angle"/></block></script><list></list></block></list></block><block s="reportNewList"><list><l>-</l><block s="reifyScript"><script><block s="turn"><block var="angle"/></block></script><list></list></block></list></block><block s="reportNewList"><list><l>F</l><block s="reifyScript"><script><block s="down"></block><block s="forward"><block var="steps"/></block><block s="up"></block></script><list></list></block></list></block><block s="reportNewList"><list><l>f</l><block s="reifyScript"><script><block s="up"></block><block s="forward"><block var="steps"/></block></script><list></list></block></list></block><block s="reportNewList"><list><l>[</l><block s="reifyScript"><script><block s="doAddToList"><block s="reportNewList"><list><block s="xPosition"></block><block s="yPosition"></block><block s="direction"></block><block var="steps"/></list></block><block var="stack"/></block></script><list></list></block></list></block><block s="reportNewList"><list><l>]</l><block s="reifyScript"><script><block s="doDeclareVariables"><list><l>popped</l></list></block><block s="doSetVar"><l>popped</l><block s="reportListItem"><l><option>last</option></l><block var="stack"/></block></block><block s="doDeleteFromList"><l><option>last</option></l><block var="stack"/></block><block s="doGotoObject"><block s="reportListItem"><block s="reportNewList"><list><l>1</l><l>2</l></list></block><block var="popped"/></block></block><block s="setHeading"><block s="reportListItem"><l>3</l><block var="popped"/></block></block><block s="doSetVar"><l>steps</l><block s="reportListItem"><l>4</l><block var="popped"/></block></block></script><list></list></block></list></block><block s="reportNewList"><list><l>&gt;</l><block s="reifyScript"><script><block s="doSetVar"><l>steps</l><block s="reportVariadicProduct"><list><block var="steps"/><block var="factor"/></list></block></block></script><list></list></block></list></block><block s="reportNewList"><list><l>&lt;</l><block s="reifyScript"><script><block s="doSetVar"><l>steps</l><block s="reportQuotient"><block var="steps"/><block var="factor"/></block></block></script><list></list></block></list></block><block s="reportNewList"><list><l>|</l><block s="reifyScript"><script><block s="turn"><l>180</l></block></script><list></list></block></list></block></list></block></block><block s="doSetVar"><l>stack</l><block s="reportNewList"><list></list></block></block><block s="doForEach"><l>symbol</l><block s="reportTextSplit"><custom-block s="expand L-System axiom %s with rewrite rules %mult%s for %s iterations"><block var="axiom"/><block var="rules"/><block var="iterations"/></custom-block><l><option>letter</option></l></block><script><block s="doDeclareVariables"><list><l>command</l></list></block><block s="doSetVar"><l>command</l><block s="reportFindFirst"><block s="reifyPredicate"><autolambda><block s="reportVariadicEquals"><list><block s="reportListItem"><l>1</l><l/></block><block var="symbol"/></list></block></autolambda><list></list></block><block var="commands"/></block></block><block s="doIf"><block s="reportVariadicNotEquals"><list><block var="command"/><l></l></list></block><script><block s="doRun"><block s="reportListItem"><l>2</l><block var="command"/></block><list></list></block></script><comment w="90" collapsed="false">ignore unknown symbols</comment></block></script></block></script><scripts><script x="581" y="722.0000000000007"><block s="doSayFor"><block var="command"/><l>1</l></block></script></scripts></block-definition><block-definition s="expand L-System axiom %&apos;axiom&apos; with rewrite rules %&apos;rules&apos; for %&apos;iterations&apos; iterations" type="reporter" category="other"><header></header><code></code><translations></translations><inputs><input type="%s"></input><input type="%mult%s"></input><input type="%s"></input></inputs><script><block s="doWarp"><script><block s="doIfElse"><block s="reportVariadicEquals"><list><block var="iterations"/><l>1</l></list></block><script><block s="doReport"><block s="reportJoinWords"><block s="reportMap"><block s="reifyReporter"><autolambda><custom-block s="apply rules %mult%s to symbol %s"><block var="rules"/><l></l></custom-block></autolambda><list></list></block><block s="reportTextSplit"><block var="axiom"/><l><option>letter</option></l></block></block></block></block></script><script><block s="doReport"><custom-block s="expand L-System axiom %s with rewrite rules %mult%s for %s iterations"><custom-block s="expand L-System axiom %s with rewrite rules %mult%s for %s iterations"><block var="axiom"/><block var="rules"/><block s="reportDifference"><block var="iterations"/><l>1</l></block></custom-block><block var="rules"/><l>1</l></custom-block></block></script></block></script></block></script></block-definition><block-definition s="apply rule %&apos;rule&apos; to symbol %&apos;symbol&apos;" type="reporter" category="other"><header></header><code></code><translations></translations><inputs><input type="%s"></input><input type="%s"></input></inputs><script><block s="doReport"><block s="reportIfElse"><block s="reportVariadicEquals"><list><block var="symbol"/><block s="reportListItem"><l>1</l><block var="rule"/></block></list></block><block s="reportTextSplit"><block s="reportListItem"><l>2</l><block var="rule"/></block><l><option>letter</option></l></block><block var="symbol"/></block></block></script></block-definition><block-definition s="apply rules %&apos;rules&apos; to symbol %&apos;symbol&apos;" type="reporter" category="other"><header></header><code></code><translations></translations><inputs><input type="%mult%s"></input><input type="%s"></input></inputs><script><block s="doWarp"><script><block s="doForEach"><l>rule</l><block var="rules"/><script><block s="doSetVar"><l>symbol</l><custom-block s="apply rule %s to symbol %s"><block var="rule"/><block var="symbol"/></custom-block></block></script></block></script></block><block s="doReport"><block var="symbol"/></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 struct="atomic" id="348"></list></costumes><sounds><list struct="atomic" id="349"></list></sounds><variables></variables><blocks></blocks><scripts></scripts><sprites select="1"><sprite name="Sprite" idx="1" x="-112.00456302712746" y="-47.40597322674165" heading="150" scale="1" volume="100" pan="0" rotation="1" draggable="true" hidden="true" costume="0" color="80,80,80,1" pen="tip" id="354"><costumes><list struct="atomic" id="355"></list></costumes><sounds><list struct="atomic" id="356"></list></sounds><blocks></blocks><variables></variables><scripts><script x="27" y="272"><block s="gotoXY"><l>-100</l><l>-100</l><comment w="111" collapsed="true">square Koch curve</comment></block><block s="clear"></block><block s="setHeading"><l>90</l></block></script><script x="620" y="68"><block s="gotoXY"><l>-200</l><l>0</l><comment w="232" collapsed="true">spiky bushes</comment></block><block s="clear"></block><block s="setHeading"><l>90</l></block><custom-block s="draw L-System axiom %s with rewrite rules %mult%s for %n iterations with step size %n angle %n and length factor %n"><l>Y</l><list><block s="reportNewList"><list><l>X</l><l>X[-FFF][+FFF]FX</l></list></block><block s="reportNewList"><list><l>Y</l><l>YFX[+Y][-Y]</l></list></block></list><l>6</l><l>3</l><l>25.7</l><l></l></custom-block></script><script x="630" y="263"><block s="gotoXY"><l>60</l><l>40</l><comment w="232" collapsed="true">Triangle</comment></block><block s="clear"></block><block s="setHeading"><l>90</l></block></script><script x="634" y="437"><block s="gotoXY"><l>0</l><l>-160</l><comment w="232" collapsed="true">Square Sierpiński</comment></block><block s="clear"></block><block s="setHeading"><l>90</l></block></script><script x="629" y="613"><block s="gotoXY"><l>-160</l><l>-160</l><comment w="232" collapsed="true">Crystal</comment></block><block s="clear"></block><block s="setHeading"><l>90</l></block></script><comment x="10" y="10" w="235.9499969482422" collapsed="false">All L-Systems taken from http://paulbourke.net/fractals/lsys/</comment><script x="42" y="642"><block s="gotoXY"><l>-200</l><l>0</l><comment w="90" collapsed="true">fractal tree</comment></block><block s="clear"></block><block s="setHeading"><l>90</l></block><custom-block s="draw L-System axiom %s with rewrite rules %mult%s for %n iterations with step size %n angle %n and length factor %n"><l>FX</l><list><block s="reportNewList"><list><l>X</l><l>&gt;[-FX]+FX</l></list></block></list><l>10</l><l>100</l><l>40</l><l>0.68</l></custom-block></script><script x="607.3000049591064" y="772.6666666666665"><block s="gotoXY"><l>-150</l><l>-90</l><comment w="90" collapsed="true">Koch snowflake</comment></block><block s="clear"></block><block s="setHeading"><l>90</l></block></script><script x="42.300004959106445" y="787.8333333333331"><block s="gotoXY"><l>-190</l><l>160</l><comment w="90" collapsed="true">sierpiński curve</comment></block><block s="clear"></block><block s="setHeading"><l>90</l></block><custom-block s="draw L-System axiom %s with rewrite rules %mult%s for %n iterations with step size %n angle %n and length factor %n"><l>YF</l><list><block s="reportNewList"><list><l>X</l><l>YF+XF+Y</l></list></block><block s="reportNewList"><list><l>Y</l><l>XF-YF-X</l></list></block></list><l>7</l><l>3</l><l>60</l><l></l></custom-block></script><script x="28" y="438"><block s="gotoXY"><l>-200</l><l>0</l><comment w="141" collapsed="true">tree</comment></block><block s="clear"></block><block s="setHeading"><l>90</l></block><custom-block s="draw L-System axiom %s with rewrite rules %mult%s for %n iterations with step size %n angle %n and length factor %n"><l>a</l><list><block s="reportNewList"><list><l>F</l><l>&gt;F&lt;</l></list></block><block s="reportNewList"><list><l>a</l><l>F[+x]Fb</l></list></block><block s="reportNewList"><list><l>b</l><l>F[-y]Fa</l></list></block><block s="reportNewList"><list><l>x</l><l>a</l></list></block><block s="reportNewList"><list><l>y</l><l>b</l></list></block></list><l>10</l><l>5</l><l>45</l><l>1.28</l></custom-block></script><script x="48.300004959106445" y="955.6666666666665"><block s="gotoXY"><l>-100</l><l>-130</l><comment w="90" collapsed="true">Pentaplexity</comment></block><block s="clear"></block><block s="setHeading"><l>90</l></block><custom-block s="draw L-System axiom %s with rewrite rules %mult%s for %n iterations with step size %n angle %n and length factor %n"><l>F++F++F++F++F</l><list><block s="reportNewList"><list><l>F</l><l>F++F++F|F-F++F</l></list></block></list><l>4</l><l>4</l><l>36</l><l></l></custom-block></script><script x="596.3000049591064" y="948.5"><block s="gotoXY"><l>80</l><l>-45</l><comment w="90" collapsed="true">dragon</comment></block><block s="clear"></block><block s="setHeading"><l>90</l></block><custom-block s="draw L-System axiom %s with rewrite rules %mult%s for %n iterations with step size %n angle %n and length factor %n"><l>FX</l><list><block s="reportNewList"><list><l>X</l><l>X+YF+</l></list></block><block s="reportNewList"><list><l>Y</l><l>-FX-Y</l></list></block></list><l>12</l><l>3</l><l>90</l><l></l></custom-block></script><script x="48.300004959106445" y="1152.5"><block s="setSize"><l>.1</l><comment w="90" collapsed="false">My own Sierpiński</comment></block><block s="gotoXY"><l>-150</l><l>-130</l></block><block s="clear"></block><block s="setHeading"><l>90</l></block><custom-block s="draw L-System axiom %s with rewrite rules %mult%s for %n iterations with step size %n angle %n and length factor %n"><l>F+F+F+F</l><list><block s="reportNewList"><list><l>F</l><l>F+F+F+FF</l></list></block></list><l>5</l><l>10</l><l>120</l><l>2</l></custom-block><block s="setSize"><l>1</l></block></script><script x="684" y="1176.333333333333"><block s="gotoXY"><l>0</l><l>0</l></block><block s="clear"></block><block s="setHeading"><l>90</l></block><custom-block s="draw L-System axiom %s with rewrite rules %mult%s for %n iterations with step size %n angle %n and length factor %n"><l>F</l><list><block s="reportNewList"><list><l>F</l><l>F+&gt;F</l></list></block></list><l>5</l><l>10</l><l>120</l><l>1.2</l></custom-block></script><script x="538" y="513"><custom-block s="draw L-System axiom %s with rewrite rules %mult%s for %n iterations with step size %n angle %n and length factor %n"><l>F+XF+F+XF</l><list><block s="reportNewList"><list><l>X</l><l>XF-F+F-XF+F+XF-F+F-X</l></list></block></list><l>5</l><l>2.5</l><l>90</l><l></l></custom-block></script><script x="714" y="672"><custom-block s="draw L-System axiom %s with rewrite rules %mult%s for %n iterations with step size %n angle %n and length factor %n"><l>F+F+F+F</l><list><block s="reportNewList"><list><l>F</l><l>FF+F++F+F</l></list></block></list><l>3</l><l>2</l><l>90</l><l>2</l></custom-block></script><script x="753.3000049591064" y="844.6666666666665"><custom-block s="draw L-System axiom %s with rewrite rules %mult%s for %n iterations with step size %n angle %n and length factor %n"><l>F++F++F</l><list><block s="reportNewList"><list><l>F</l><l>F-F++F-F</l></list></block></list><l>5</l><l>1.25</l><l>60</l><l></l></custom-block></script><script x="561" y="203"><block s="receiveGo"></block><custom-block s="draw L-System axiom %s with rewrite rules %mult%s for %n iterations with step size %n angle %n and length factor %n"><l>F+F+F</l><list><block s="reportNewList"><list><l>F</l><l>F-F+F</l></list></block></list><l>6</l><l>6</l><l>120</l><l></l></custom-block></script><script x="457" y="214"><block s="receiveGo"></block><block s="gotoXY"><l>-200</l><l>-50</l><comment w="90" collapsed="true">branches</comment></block><block s="clear"></block><block s="setHeading"><l>90</l></block><custom-block s="draw L-System axiom %s with rewrite rules %mult%s for %n iterations with step size %n angle %n and length factor %n"><l>X</l><list><block s="reportNewList"><list><l>F</l><l>FF</l></list></block><block s="reportNewList"><list><l>X</l><l>F-[[X]+X]+F[+FX]-X</l></list></block></list><l>5</l><l>5</l><l>22.5</l><l></l></custom-block></script><script x="325" y="235"><block s="receiveGo"></block><custom-block s="draw L-System axiom %s with rewrite rules %mult%s for %n iterations with step size %n angle %n and length factor %n"><l>F+F+F+F</l><list><block s="reportNewList"><list><l>F</l><l>F+F-F-FF+F+F-F</l></list></block></list><l>3</l><l>3</l><l>90</l><l></l></custom-block></script></scripts></sprite></sprites></stage><variables></variables></scene></scenes></project><media name="Eewrwerf" app="Snap! 8.2, https://snap.berkeley.edu" version="2"></media></snapdata>