<snapdata remixID="8199795"><project name='spiral shapes' app='Snap! 5.0, http://snap.berkeley.edu' version='1'>
  <notes>shape spirals                                                                                       do these all count as fractals? (maybe except the ones with var1 set to 180, 0, 360, -360, or -180)</notes>
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  <stage costume='0' inheritance='true' id='1' name='Stage' lines='round' threadsafe='false' codify='false' sublistIDs='false' color='255,255,255,1' height='360' scheduled='false' tempo='60' ternary='false' width='480'>
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</pentrails>
    <costumes>
      <list struct='atomic' id='2'/>
    </costumes>
    <sounds>
      <list struct='atomic' id='3'/>
    </sounds>
    <variables/>
    <blocks/>
    <scripts/>
    <sprites>
      <sprite x='-456.9602589748382' pen='tip' id='8' name='Sprite' idx='1' rotation='1' scale='1' color='80,80,80,1' draggable='true' y='-289.20571588935' heading='299.22222188228557' costume='0'>
        <costumes>
          <list struct='atomic' id='9'/>
        </costumes>
        <sounds>
          <list struct='atomic' id='10'/>
        </sounds>
        <blocks/>
        <variables/>
        <scripts>
          <script x='91' y='30'>
            <block s='receiveGo'/>
            <block s='gotoXY'>
              <l>0</l>
              <l>0</l>
            </block>
            <block s='clear'/>
            <block s='setSize'>
              <l>0.5</l>
            </block>
            <block s='doSetVar'>
              <l>var1</l>
              <block s='reportRandom'>
                <l>-360</l>
                <l>360</l>
              </block>
            </block>
            <block s='doSetVar'>
              <l>var2</l>
              <block s='reportRandom'>
                <l>0.1</l>
                <l>1</l>
              </block>
            </block>
            <block s='down'/>
            <block s='doForever'>
              <script>
                <block s='turn'>
                  <block var='var1'/>
                </block>
                <block s='forward'>
                  <block var='var2'/>
                </block>
                <block s='doSetVar'>
                  <l>var2</l>
                  <block s='reportProduct'>
                    <block var='var2'/>
                    <l>1.1</l>
                  </block>
                </block>
              </script>
            </block>
          </script>
        </scripts>
      </sprite>
      <watcher x='10' color='243,118,29' style='normal' var='var1' y='10'/>
      <watcher x='10' color='243,118,29' style='normal' var='var2' y='31.000001999999995'/>
    </sprites>
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  <hidden/>
  <headers/>
  <code/>
  <blocks/>
  <variables>
    <variable name='var1'>
      <l>-317</l>
    </variable>
    <variable name='var2'>
      <l>418.90867578885764</l>
    </variable>
  </variables>
</project><media name="spiralshapes" app="Snap! 5.0, http://snap.berkeley.edu" version="1"></media></snapdata>