<snapdata remixID="8367250"><project name='L-Systems Collection (with F,G,+,-)' app='Snap! 5.0, http://snap.berkeley.edu' version='1'>
  <notes>Enter the number of the L-system of your choice (1-3)</notes>
  <thumbnail>data:image/png;base64,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</thumbnail>
  <stage inheritance='true' id='1' volume='100' height='1400' tempo='60' lines='round' width='1500' name='Bühne' sublistIDs='false' threadsafe='false' codify='false' color='255,255,255,1' scheduled='false' pan='0' ternary='true' costume='0'>
    <pentrails>data:image/png;base64,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</pentrails>
    <costumes>
      <list struct='atomic' id='2'/>
    </costumes>
    <sounds>
      <list struct='atomic' id='3'/>
    </sounds>
    <variables/>
    <blocks/>
    <scripts>
      <script x='36.6546762589928' y='73.35971223021585'>
        <block s='receiveGo'/>
        <custom-block s='setze stiftfarbe auf r: %n g: %n b: %n'>
          <l>255</l>
          <l>255</l>
          <l>255</l>
        </custom-block>
        <custom-block s='färbe hintergrund'/>
      </script>
      <script x='34.49640287769783' y='212.68345323741008'>
        <block s='setBackgroundHSVA'>
          <l>
            <option>saturation</option>
          </l>
          <l>100</l>
        </block>
      </script>
      <script x='31.618705035971217' y='288.82014388489216'>
        <block s='setBackgroundHSVA'>
          <l>
            <option>hue</option>
          </l>
          <l>100</l>
        </block>
      </script>
    </scripts>
    <sprites>
      <sprite draggable='true' x='472' pen='tip' id='20' y='0' name='Objekt' idx='1' volume='100' rotation='1' scale='1' color='0,0,0,1' hidden='true' pan='0' heading='90' costume='0'>
        <costumes>
          <list struct='atomic' id='21'/>
        </costumes>
        <sounds>
          <list struct='atomic' id='22'/>
        </sounds>
        <blocks/>
        <variables/>
        <scripts>
          <script x='746.5107933669069' y='125.94964328776983'>
            <block s='reportNewList'>
              <list/>
            </block>
          </script>
          <script x='143.705035971223' y='1247.1654676258986'>
            <block s='doSetVar'>
              <l>rest initiator</l>
              <block var='initiator'/>
            </block>
            <custom-block s='setze stiftfarbe auf r: %n g: %n b: %n'>
              <l>255</l>
              <l>255</l>
              <l>0</l>
            </custom-block>
            <custom-block s='setze linienende auf %txt'>
              <l>round</l>
            </custom-block>
            <block s='setSize'>
              <l>3</l>
            </block>
            <block s='up'/>
            <block s='gotoXY'>
              <block s='reportListItem'>
                <l>4</l>
                <block s='reportListItem'>
                  <block var='l-system'/>
                  <block var='collection'/>
                </block>
              </block>
              <block s='reportListItem'>
                <l>5</l>
                <block s='reportListItem'>
                  <block var='l-system'/>
                  <block var='collection'/>
                </block>
              </block>
            </block>
            <block s='setHeading'>
              <l>90</l>
            </block>
            <block s='down'/>
            <block s='doWarp'>
              <script>
                <custom-block s='l-system initiator'/>
              </script>
            </block>
          </script>
          <script x='25' y='28.77697841726619'>
            <block s='receiveGo'/>
            <custom-block s='collection'/>
            <custom-block s='preliminaries'/>
            <custom-block s='setze stiftfarbe auf r: %n g: %n b: %n'>
              <l>0</l>
              <l>0</l>
              <l>0</l>
            </custom-block>
            <custom-block s='setze linienende auf %txt'>
              <l>round</l>
            </custom-block>
            <block s='setSize'>
              <l>1</l>
            </block>
            <block s='gotoXY'>
              <block s='reportListItem'>
                <l>5</l>
                <block s='reportListItem'>
                  <block var='l-system'/>
                  <block var='collection'/>
                </block>
              </block>
              <block s='reportListItem'>
                <l>6</l>
                <block s='reportListItem'>
                  <block var='l-system'/>
                  <block var='collection'/>
                </block>
              </block>
            </block>
            <block s='setHeading'>
              <l>90</l>
            </block>
            <block s='down'/>
            <block s='doWarp'>
              <script>
                <custom-block s='l-system initiator'/>
              </script>
            </block>
          </script>
        </scripts>
      </sprite>
      <watcher x='3.60703600689385' color='243,118,29' style='normal' var='angle' y='23.66215764803526' hidden='true'/>
      <watcher x='4.6891468089615955' var='rest initiator' extY='97' color='243,118,29' style='normal' y='68.89439133870033' extX='111' hidden='true'/>
      <watcher x='1.442814402757449' color='243,118,29' style='normal' var='initiator' y='1.0821108020680157' hidden='true'/>
      <watcher x='7.21407201378679' color='243,118,29' style='normal' var='l-system' y='108.28322236975492' hidden='true'/>
      <watcher scope='Objekt' x='3.60703600689385' s='direction' style='normal' y='3.6070360068934235' color='74,108,212' hidden='true'/>
      <watcher scope='Objekt' x='3.60703600689385' s='yPosition' style='normal' y='13.627382755450533' color='74,108,212' hidden='true'/>
      <watcher scope='Objekt' x='3.60703600689385' s='xPosition' style='normal' y='23.64772950400767' color='74,108,212' hidden='true'/>
      <watcher x='3.60703600689385' color='243,118,29' style='normal' var='n_collection' y='33.668076252564816' hidden='true'/>
      <watcher x='369.2140720137868' var='collection' extY='210' color='243,118,29' style='normal' y='15.214072013786833' extX='454' hidden='true'/>
      <watcher x='231.60703600689385' color='243,118,29' style='normal' var='depth' y='43.71727928917707' hidden='true'/>
      <watcher x='105.60703600689385' color='243,118,29' style='normal' var='length' y='85.68971846860617' hidden='true'/>
      <watcher x='36.66285714285664' var='generator_F' extY='195.99999999999997' color='243,118,29' style='normal' y='124.11832477714285' extX='110' hidden='true'/>
      <watcher x='185.21333333333337' var='generator_G' extY='96.99999999999997' color='243,118,29' style='normal' y='126.28571428571428' extX='111' hidden='true'/>
    </sprites>
  </stage>
  <hidden> reportNumbers reportCombine reportKeep reportMap doForEach reportListIsEmpty</hidden>
  <headers/>
  <code/>
  <blocks>
    <block-definition s='l-system generator_F %&apos;rest generator&apos; depth %&apos;rest depth&apos;' category='variables' type='command'>
      <header/>
      <code/>
      <translations/>
      <inputs>
        <input type='%s'/>
        <input type='%s'/>
      </inputs>
      <script>
        <block s='doDeclareVariables'>
          <list>
            <l>element</l>
          </list>
        </block>
        <block s='doIf'>
          <block s='reportEquals'>
            <block var='rest generator'/>
            <block s='reportNewList'>
              <list/>
            </block>
          </block>
          <script>
            <block s='doStopThis'>
              <l>
                <option>this block</option>
              </l>
            </block>
          </script>
        </block>
        <block s='doSetVar'>
          <l>element</l>
          <block s='reportListItem'>
            <l>1</l>
            <block var='rest generator'/>
          </block>
        </block>
        <block s='doSetVar'>
          <l>rest generator</l>
          <block s='reportCDR'>
            <block var='rest generator'/>
          </block>
        </block>
        <block s='doIf'>
          <block s='reportEquals'>
            <block var='element'/>
            <l>+</l>
          </block>
          <script>
            <custom-block s='+'/>
          </script>
        </block>
        <block s='doIf'>
          <block s='reportEquals'>
            <block var='element'/>
            <l>-</l>
          </block>
          <script>
            <custom-block s='-'/>
          </script>
        </block>
        <block s='doIf'>
          <block s='reportAnd'>
            <block s='reportEquals'>
              <block var='element'/>
              <l>G</l>
            </block>
            <block s='reportEquals'>
              <block var='rest depth'/>
              <l>0</l>
            </block>
          </block>
          <script>
            <custom-block s='G'/>
            <block s='doStopThis'>
              <l>
                <option>this block</option>
              </l>
            </block>
          </script>
        </block>
        <block s='doIf'>
          <block s='reportAnd'>
            <block s='reportEquals'>
              <block var='element'/>
              <l>G</l>
            </block>
            <block s='reportGreaterThan'>
              <block var='rest depth'/>
              <l>0</l>
            </block>
          </block>
          <script>
            <custom-block s='l-system generator_G %s %s'>
              <block var='generator_G'/>
              <block s='reportDifference'>
                <block var='rest depth'/>
                <l>1</l>
              </block>
            </custom-block>
          </script>
        </block>
        <block s='doIf'>
          <block s='reportAnd'>
            <block s='reportEquals'>
              <block var='element'/>
              <l>F</l>
            </block>
            <block s='reportEquals'>
              <block var='rest depth'/>
              <l>0</l>
            </block>
          </block>
          <script>
            <custom-block s='F'/>
            <block s='doStopThis'>
              <l>
                <option>this block</option>
              </l>
            </block>
          </script>
        </block>
        <block s='doIf'>
          <block s='reportAnd'>
            <block s='reportEquals'>
              <block var='element'/>
              <l>F</l>
            </block>
            <block s='reportGreaterThan'>
              <block var='rest depth'/>
              <l>0</l>
            </block>
          </block>
          <script>
            <custom-block s='l-system generator_F %s depth %s'>
              <block var='generator_F'/>
              <block s='reportDifference'>
                <block var='rest depth'/>
                <l>1</l>
              </block>
            </custom-block>
          </script>
        </block>
        <custom-block s='l-system generator_F %s depth %s'>
          <block var='rest generator'/>
          <block var='rest depth'/>
        </custom-block>
      </script>
    </block-definition>
    <block-definition s='l-system initiator' category='variables' type='command'>
      <header/>
      <code/>
      <translations/>
      <inputs/>
      <script>
        <block s='doDeclareVariables'>
          <list>
            <l>element</l>
          </list>
        </block>
        <block s='doIf'>
          <block s='reportEquals'>
            <block var='rest initiator'/>
            <block s='reportNewList'>
              <list/>
            </block>
          </block>
          <script>
            <block s='doStopThis'>
              <l>
                <option>this block</option>
              </l>
            </block>
          </script>
        </block>
        <block s='doSetVar'>
          <l>element</l>
          <block s='reportListItem'>
            <l>1</l>
            <block var='rest initiator'/>
          </block>
        </block>
        <block s='doSetVar'>
          <l>rest initiator</l>
          <block s='reportCDR'>
            <block var='rest initiator'/>
          </block>
        </block>
        <block s='doIf'>
          <block s='reportEquals'>
            <block var='element'/>
            <l>+</l>
          </block>
          <script>
            <custom-block s='+'/>
          </script>
        </block>
        <block s='doIf'>
          <block s='reportEquals'>
            <block var='element'/>
            <l>-</l>
          </block>
          <script>
            <custom-block s='-'/>
          </script>
        </block>
        <block s='doIf'>
          <block s='reportEquals'>
            <block var='element'/>
            <l>F</l>
          </block>
          <script>
            <custom-block s='l-system generator_F %s depth %s'>
              <block var='generator_F'/>
              <block var='depth'/>
            </custom-block>
          </script>
        </block>
        <block s='doIf'>
          <block s='reportEquals'>
            <block var='element'/>
            <l>G</l>
          </block>
          <script>
            <custom-block s='l-system generator_G %s %s'>
              <block var='generator_G'/>
              <block var='depth'/>
            </custom-block>
          </script>
        </block>
        <custom-block s='l-system initiator'/>
      </script>
    </block-definition>
    <block-definition s='setze linienende auf %&apos;style&apos;' category='pen' type='command'>
      <header/>
      <code/>
      <translations/>
      <inputs>
        <input readonly='true' type='%txt'>round<options>roundflat</options>
        </input>
      </inputs>
      <script>
        <block s='doRun'>
          <block s='reportJSFunction'>
            <list>
              <l>choice</l>
            </list>
            <l>SpriteMorph.prototype.useFlatLineEnds = (choice === &apos;flat&apos;);</l>
          </block>
          <list>
            <block var='style'/>
          </list>
        </block>
      </script>
    </block-definition>
    <block-definition s='setze stiftfarbe auf h: %&apos;h&apos; s: %&apos;s&apos; v: %&apos;v&apos;' category='pen' type='command'>
      <header/>
      <code/>
      <translations/>
      <inputs>
        <input type='%n'>0.3</input>
        <input type='%n'>0.7</input>
        <input type='%n'>0.6</input>
      </inputs>
      <script>
        <block s='doRun'>
          <block s='reportJSFunction'>
            <list>
              <l>h</l>
              <l>s</l>
              <l>v</l>
            </list>
            <l>var col = new Color();col.set_hsv(h, s, v);this.setColor(col);</l>
          </block>
          <list>
            <block var='h'/>
            <block var='s'/>
            <block var='v'/>
          </list>
        </block>
      </script>
    </block-definition>
    <block-definition s='setze stiftfarbe auf r: %&apos;r&apos; g: %&apos;g&apos; b: %&apos;b&apos;' category='pen' type='command'>
      <header/>
      <code/>
      <translations/>
      <inputs>
        <input type='%n'>255</input>
        <input type='%n'>0</input>
        <input type='%n'>0</input>
      </inputs>
      <script>
        <block s='doRun'>
          <block s='reportJSFunction'>
            <list>
              <l>r</l>
              <l>g</l>
              <l>b</l>
            </list>
            <l>this.setColor(new Color(r, g, b));</l>
          </block>
          <list>
            <block var='r'/>
            <block var='g'/>
            <block var='b'/>
          </list>
        </block>
      </script>
    </block-definition>
    <block-definition s='färbe hintergrund' category='pen' type='command'>
      <header/>
      <code/>
      <translations/>
      <inputs/>
      <script>
        <block s='doRun'>
          <block s='reportJSFunction'>
            <list/>
            <l>var stage = this.parentThatIsA(StageMorph),    img = stage.image,    ctx = img.getContext(&apos;2d&apos;);ctx.fillStyle = this.color.toString();ctx.fillRect(0, 0, img.width, img.height);stage.changed();</l>
          </block>
          <list/>
        </block>
      </script>
    </block-definition>
    <block-definition s='Text %&apos;text&apos; der Größe %&apos;size&apos;' category='pen' type='command'>
      <comment x='0' w='90' collapsed='false' y='0'>LABEL will stamp text on the stage at the given font size. The direction of the text is the direction the sprite is facing, and color will match the pen color.</comment>
      <header/>
      <code/>
      <translations/>
      <inputs>
        <input type='%txt'>Hello!</input>
        <input type='%n'>12</input>
      </inputs>
      <script>
        <block s='doRun'>
          <block s='reportJSFunction'>
            <list>
              <l>text</l>
              <l>size</l>
            </list>
            <l>var stage = this.parentThatIsA(StageMorph),    context = stage.penTrails().getContext(&apos;2d&apos;),    rotation = radians(this.direction() - 90),    trans = new Point(      this.center().x - stage.left(),      this.center().y - stage.top()    ),    isWarped = this.Warped,    len,    pos;if (isWarped) {endWarp(); }context.save();context.font = size + &apos;px monospace&apos;;context.textAlign = &apos;left&apos;;context.textBaseline = &apos;alphabetic&apos;;context.fillStyle = this.color.toString();len = context.measureText(text).width;trans = trans.multiplyBy(1 / stage.scale);context.translate(trans.x, trans.y);context.rotate(rotation);context.fillText(text, 0, 0);context.translate(-trans.x, -trans.y);context.restore();pos = new Point(  len * Math.sin(radians(this.direction())),  len * Math.cos(radians(this.direction())));pos = pos.add(new Point(this.xPosition(), this.yPosition()));this.gotoXY(pos.x, pos.y, false);this.changed();if (isWarped) {this.startWarp(); }stage.changed();</l>
          </block>
          <list>
            <block var='text'/>
            <block var='size'/>
          </list>
        </block>
      </script>
    </block-definition>
    <block-definition s='für %&apos;i&apos; = %&apos;start&apos; schritt %&apos;step&apos; bis %&apos;end&apos; %&apos;action&apos;' category='control' type='command'>
      <header/>
      <code/>
      <translations/>
      <inputs>
        <input type='%upvar'/>
        <input type='%n'>1</input>
        <input type='%n'>1</input>
        <input type='%n'>10</input>
        <input type='%cs'/>
      </inputs>
      <script>
        <block s='doDeclareVariables'>
          <list>
            <l>test</l>
          </list>
        </block>
        <block s='doSetVar'>
          <l>i</l>
          <block var='start'/>
        </block>
        <block s='doIfElse'>
          <block s='reportLessThan'>
            <block var='step'/>
            <l>0</l>
          </block>
          <script>
            <block s='doSetVar'>
              <l>test</l>
              <block s='reifyPredicate'>
                <autolambda>
                  <block s='reportLessThan'>
                    <block var='i'/>
                    <block var='end'/>
                  </block>
                </autolambda>
                <list/>
              </block>
            </block>
          </script>
          <script>
            <block s='doSetVar'>
              <l>test</l>
              <block s='reifyPredicate'>
                <autolambda>
                  <block s='reportGreaterThan'>
                    <block var='i'/>
                    <block var='end'/>
                  </block>
                </autolambda>
                <list/>
              </block>
            </block>
          </script>
        </block>
        <block s='doUntil'>
          <block s='evaluate'>
            <block var='test'/>
            <list/>
          </block>
          <script>
            <block s='doRun'>
              <block var='action'/>
              <list/>
            </block>
            <block s='doChangeVar'>
              <l>i</l>
              <block var='step'/>
            </block>
          </script>
        </block>
      </script>
    </block-definition>
    <block-definition s='+' category='motion' type='command'>
      <header/>
      <code/>
      <translations/>
      <inputs/>
      <script>
        <block s='turnLeft'>
          <block var='angle'/>
        </block>
      </script>
    </block-definition>
    <block-definition s='-' category='motion' type='command'>
      <header/>
      <code/>
      <translations/>
      <inputs/>
      <script>
        <block s='turn'>
          <block var='angle'/>
        </block>
      </script>
    </block-definition>
    <block-definition s='F' category='motion' type='command'>
      <header/>
      <code/>
      <translations/>
      <inputs/>
      <script>
        <block s='forward'>
          <block var='length'/>
        </block>
      </script>
    </block-definition>
    <block-definition s='preliminaries' category='other' type='command'>
      <header/>
      <code/>
      <translations/>
      <inputs/>
      <script>
        <block s='clear'/>
        <block s='up'/>
        <custom-block s='setze stiftfarbe auf r: %n g: %n b: %n'>
          <l>0</l>
          <l>0</l>
          <l>0</l>
        </custom-block>
        <block s='setHeading'>
          <l>90</l>
        </block>
        <block s='gotoXY'>
          <l>-725</l>
          <l>600</l>
        </block>
        <custom-block s='für %upvar = %n schritt %n bis %n %cs'>
          <l>i</l>
          <l>1</l>
          <l>1</l>
          <block var='n_collection'/>
          <script>
            <custom-block s='Text %txt der Größe %n'>
              <block s='reportJoinWords'>
                <list>
                  <block var='i'/>
                  <l/>
                  <block s='reportListItem'>
                    <l>1</l>
                    <block s='reportListItem'>
                      <block var='i'/>
                      <block var='collection'/>
                    </block>
                  </block>
                </list>
              </block>
              <l>30</l>
            </custom-block>
            <block s='setXPosition'>
              <l>-725</l>
            </block>
            <block s='changeYPosition'>
              <l>-30</l>
            </block>
          </script>
        </custom-block>
        <block s='doAsk'>
          <l>Which L-System? </l>
        </block>
        <block s='doSetVar'>
          <l>l-system</l>
          <block s='getLastAnswer'/>
        </block>
        <block s='doSetVar'>
          <l>initiator</l>
          <block s='reportListItem'>
            <l>2</l>
            <block s='reportListItem'>
              <block var='l-system'/>
              <block var='collection'/>
            </block>
          </block>
        </block>
        <block s='doSetVar'>
          <l>generator_F</l>
          <block s='reportListItem'>
            <l>3</l>
            <block s='reportListItem'>
              <block var='l-system'/>
              <block var='collection'/>
            </block>
          </block>
        </block>
        <block s='doSetVar'>
          <l>generator_G</l>
          <block s='reportListItem'>
            <l>4</l>
            <block s='reportListItem'>
              <block var='l-system'/>
              <block var='collection'/>
            </block>
          </block>
        </block>
        <block s='doSetVar'>
          <l>angle</l>
          <block s='reportListItem'>
            <l>7</l>
            <block s='reportListItem'>
              <block var='l-system'/>
              <block var='collection'/>
            </block>
          </block>
        </block>
        <block s='doSetVar'>
          <l>length</l>
          <block s='reportListItem'>
            <l>8</l>
            <block s='reportListItem'>
              <block var='l-system'/>
              <block var='collection'/>
            </block>
          </block>
        </block>
        <block s='doSetVar'>
          <l>depth</l>
          <block s='reportListItem'>
            <l>9</l>
            <block s='reportListItem'>
              <block var='l-system'/>
              <block var='collection'/>
            </block>
          </block>
        </block>
        <block s='clear'/>
        <block s='gotoXY'>
          <l>-725</l>
          <l>-620</l>
        </block>
        <custom-block s='Text %txt der Größe %n'>
          <block s='reportListItem'>
            <l>1</l>
            <block s='reportListItem'>
              <block var='l-system'/>
              <block var='collection'/>
            </block>
          </block>
          <l>40</l>
        </custom-block>
        <block s='gotoXY'>
          <l>-725</l>
          <l>-650</l>
        </block>
        <custom-block s='Text %txt der Größe %n'>
          <block s='reportJoinWords'>
            <list>
              <l>initiator: </l>
              <block var='initiator'/>
            </list>
          </block>
          <l>30</l>
        </custom-block>
        <block s='gotoXY'>
          <l>-300</l>
          <l>-650</l>
        </block>
        <custom-block s='Text %txt der Größe %n'>
          <block s='reportJoinWords'>
            <list>
              <l>generator_F: </l>
              <block var='generator_F'/>
            </list>
          </block>
          <l>30</l>
        </custom-block>
        <block s='gotoXY'>
          <l>-300</l>
          <l>-680</l>
        </block>
        <custom-block s='Text %txt der Größe %n'>
          <block s='reportJoinWords'>
            <list>
              <l>generator_G: </l>
              <block var='generator_G'/>
            </list>
          </block>
          <l>30</l>
        </custom-block>
        <block s='gotoXY'>
          <l>300</l>
          <l>-650</l>
        </block>
        <custom-block s='Text %txt der Größe %n'>
          <block s='reportJoinWords'>
            <list>
              <l>angle: </l>
              <block var='angle'/>
            </list>
          </block>
          <l>30</l>
        </custom-block>
        <block s='gotoXY'>
          <l>300</l>
          <l>-680</l>
        </block>
        <custom-block s='Text %txt der Größe %n'>
          <block s='reportJoinWords'>
            <list>
              <l>depth: </l>
              <block var='depth'/>
            </list>
          </block>
          <l>30</l>
        </custom-block>
        <block s='doSetVar'>
          <l>initiator</l>
          <block s='reportTextSplit'>
            <block var='initiator'/>
            <l>
              <option>letter</option>
            </l>
          </block>
        </block>
        <block s='doSetVar'>
          <l>generator_F</l>
          <block s='reportTextSplit'>
            <block var='generator_F'/>
            <l>
              <option>letter</option>
            </l>
          </block>
        </block>
        <block s='doSetVar'>
          <l>generator_G</l>
          <block s='reportTextSplit'>
            <block var='generator_G'/>
            <l>
              <option>letter</option>
            </l>
          </block>
        </block>
        <block s='doSetVar'>
          <l>rest initiator</l>
          <block var='initiator'/>
        </block>
      </script>
      <scripts>
        <script x='214.99999999999994' y='765.6666666666662'>
          <block s='doSetVar'>
            <l>initiator</l>
            <block s='reportTextSplit'>
              <block var='initiator'/>
              <l>
                <option>letter</option>
              </l>
            </block>
          </block>
        </script>
      </scripts>
    </block-definition>
    <block-definition s='collection' category='other' type='command'>
      <header/>
      <code/>
      <translations/>
      <inputs/>
      <script>
        <block s='doSetVar'>
          <l>collection</l>
          <block s='reportNewList'>
            <list>
              <block s='reportNewList'>
                <list>
                  <l>Cantor dust</l>
                  <l>F</l>
                  <l>FGF</l>
                  <l>GGG</l>
                  <l>-500</l>
                  <l>0</l>
                  <l>0</l>
                  <l>5</l>
                  <l>5</l>
                </list>
              </block>
              <block s='reportNewList'>
                <list>
                  <l>Sierpinski carpet</l>
                  <l>F</l>
                  <l>F+F-F-FF-F-F-GF</l>
                  <l>GGG</l>
                  <l>-500</l>
                  <l>0</l>
                  <l>90</l>
                  <l>4</l>
                  <l>5</l>
                </list>
              </block>
              <block s='reportNewList'>
                <list>
                  <l>Koch islands</l>
                  <l>F+F+F+F</l>
                  <l>F+G-FF+F+FF+FG+FF-G+FF-F-FF-FG-FFF</l>
                  <l>GGGGG</l>
                  <l>-400</l>
                  <l>-250</l>
                  <l>90</l>
                  <l>2.5</l>
                  <l>3</l>
                </list>
              </block>
            </list>
          </block>
        </block>
        <block s='doSetVar'>
          <l>n_collection</l>
          <block s='reportListLength'>
            <block var='collection'/>
          </block>
        </block>
      </script>
      <scripts>
        <script x='119.67018792917882' y='26.81295264028793'>
          <block s='reportNewList'>
            <list>
              <l>name</l>
              <l>initiator</l>
              <l>generator_F</l>
              <l>generator_G</l>
              <l>x_start</l>
              <l>y_start</l>
              <l>angle</l>
              <l>length</l>
              <l>depth</l>
            </list>
          </block>
        </script>
      </scripts>
    </block-definition>
    <block-definition s='G' category='motion' type='command'>
      <header/>
      <code/>
      <translations/>
      <inputs/>
      <script>
        <block s='up'/>
        <block s='forward'>
          <block var='length'/>
        </block>
        <block s='down'/>
      </script>
    </block-definition>
    <block-definition s='l-system generator_G %&apos;rest generator&apos; %&apos;rest depth&apos;' category='variables' type='command'>
      <header/>
      <code/>
      <translations/>
      <inputs>
        <input type='%s'/>
        <input type='%s'/>
      </inputs>
      <script>
        <block s='doDeclareVariables'>
          <list>
            <l>element</l>
          </list>
        </block>
        <block s='doIf'>
          <block s='reportEquals'>
            <block var='rest generator'/>
            <block s='reportNewList'>
              <list/>
            </block>
          </block>
          <script>
            <block s='doStopThis'>
              <l>
                <option>this block</option>
              </l>
            </block>
          </script>
        </block>
        <block s='doSetVar'>
          <l>element</l>
          <block s='reportListItem'>
            <l>1</l>
            <block var='rest generator'/>
          </block>
        </block>
        <block s='doSetVar'>
          <l>rest generator</l>
          <block s='reportCDR'>
            <block var='rest generator'/>
          </block>
        </block>
        <block s='doIf'>
          <block s='reportAnd'>
            <block s='reportEquals'>
              <block var='element'/>
              <l>G</l>
            </block>
            <block s='reportEquals'>
              <block var='rest depth'/>
              <l>0</l>
            </block>
          </block>
          <script>
            <custom-block s='G'/>
            <block s='doStopThis'>
              <l>
                <option>this block</option>
              </l>
            </block>
          </script>
        </block>
        <block s='doIf'>
          <block s='reportAnd'>
            <block s='reportEquals'>
              <block var='element'/>
              <l>G</l>
            </block>
            <block s='reportGreaterThan'>
              <block var='rest depth'/>
              <l>0</l>
            </block>
          </block>
          <script>
            <custom-block s='l-system generator_G %s %s'>
              <block var='generator_G'/>
              <block s='reportDifference'>
                <block var='rest depth'/>
                <l>1</l>
              </block>
            </custom-block>
          </script>
        </block>
        <custom-block s='l-system generator_G %s %s'>
          <block var='rest generator'/>
          <block var='rest depth'/>
        </custom-block>
      </script>
    </block-definition>
  </blocks>
  <variables>
    <variable name='initiator'>
      <list struct='atomic' id='761'>F</list>
    </variable>
    <variable name='angle'>
      <l>90</l>
    </variable>
    <variable name='length'>
      <l>4</l>
    </variable>
    <variable name='depth'>
      <l>5</l>
    </variable>
    <variable name='rest initiator'>
      <list struct='atomic' id='762'/>
    </variable>
    <variable name='collection'>
      <list id='763'>
        <item>
          <list struct='atomic' id='764'>Cantor dust,F,FGF,GGG,-500,0,0,5,5</list>
        </item>
        <item>
          <list struct='atomic' id='765'>Sierpinski carpet,F,F+F-F-FF-F-F-GF,GGG,-500,0,90,4,5</list>
        </item>
        <item>
          <list struct='atomic' id='766'>Koch islands,F+F+F+F,F+G-FF+F+FF+FG+FF-G+FF-F-FF-FG-FFF,GGGGG,-400,-250,90,2.5,3</list>
        </item>
      </list>
    </variable>
    <variable name='l-system'>
      <l>2</l>
    </variable>
    <variable name='n_collection'>
      <l>3</l>
    </variable>
    <variable name='generator_G'>
      <list struct='atomic' id='767'>G,G,G</list>
    </variable>
    <variable name='generator_F'>
      <list struct='atomic' id='768'>F,+,F,-,F,-,F,F,-,F,-,F,-,G,F</list>
    </variable>
  </variables>
</project><media name="L-Systems Collection (with F,G,+,-)" app="Snap! 5.0, http://snap.berkeley.edu" version="1"></media></snapdata>