<snapdata remixID="9052130"><project name='Square Fractal' app='Snap! 5.1, http://snap.berkeley.edu' version='1'>
  <notes>Press the green flag to start the creation. Will ask for inputs</notes>
  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</thumbnail>
  <stage inheritance='true' id='1' volume='100' height='360' tempo='60' lines='round' width='480' name='Stage' sublistIDs='false' threadsafe='false' codify='false' color='255,255,255,1' scheduled='false' pan='0' ternary='true' costume='0'>
    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</pentrails>
    <costumes>
      <list id='2' struct='atomic'/>
    </costumes>
    <sounds>
      <list id='3' struct='atomic'/>
    </sounds>
    <variables/>
    <blocks/>
    <scripts/>
    <sprites>
      <sprite x='0' pen='tip' id='8' y='1.850253283919301e-10' name='Sprite' idx='1' volume='100' rotation='1' scale='1' heading='90' costume='0' color='80,80,80,1' pan='0' draggable='true'>
        <costumes>
          <list id='9' struct='atomic'/>
        </costumes>
        <sounds>
          <list id='10' struct='atomic'/>
        </sounds>
        <blocks/>
        <variables/>
        <scripts>
          <script x='20' y='20'>
            <block s='receiveGo'>
              <comment collapsed='false' w='90'>Press the green flag to start the creation. Will ask for inputs</comment>
            </block>
            <block s='doBroadcast'>
              <l>Start</l>
            </block>
          </script>
          <script x='20' y='95'>
            <block s='receiveMessage'>
              <l>Start</l>
            </block>
            <block s='doSetVar'>
              <l>SizeAnswer</l>
              <l>0</l>
            </block>
            <block s='doSetVar'>
              <l>LevelAnswer</l>
              <l>0</l>
            </block>
            <block s='doAsk'>
              <l>Enter the Level Amount for the fractal.</l>
            </block>
            <block s='doIf'>
              <block s='reportNot'>
                <block s='reportIsA'>
                  <block s='getLastAnswer'/>
                  <l>
                    <option>number</option>
                  </l>
                </block>
              </block>
              <script>
                <block s='doSayFor'>
                  <l>Anwser must be a number!</l>
                  <l>2</l>
                </block>
                <block s='doStopThis'>
                  <l>
                    <option>all</option>
                  </l>
                </block>
              </script>
            </block>
            <block s='doSetVar'>
              <l>LevelAnswer</l>
              <block s='getLastAnswer'/>
            </block>
            <block s='doAsk'>
              <l>Enter the Size for the fractal.</l>
            </block>
            <block s='doIf'>
              <block s='reportNot'>
                <block s='reportIsA'>
                  <block s='getLastAnswer'/>
                  <l>
                    <option>number</option>
                  </l>
                </block>
              </block>
              <script>
                <block s='doSayFor'>
                  <l>Anwser must be a number!</l>
                  <l>2</l>
                </block>
                <block s='doStopThis'>
                  <l>
                    <option>all</option>
                  </l>
                </block>
              </script>
            </block>
            <block s='doSetVar'>
              <l>SizeAnswer</l>
              <block s='getLastAnswer'/>
            </block>
            <block s='up'/>
            <block s='clear'/>
            <block s='setHeading'>
              <l>90</l>
            </block>
            <block s='gotoXY'>
              <l>0</l>
              <l>0</l>
            </block>
            <block s='down'/>
            <block s='doWarp'>
              <script>
                <custom-block s='Make Square Fractal Level: %n Size: %n'>
                  <block var='LevelAnswer'/>
                  <block var='SizeAnswer'/>
                </custom-block>
              </script>
            </block>
            <block s='doAsk'>
              <l>Would you like to generate a new fractal? (Clears the Current one). Answer is yes or no</l>
            </block>
            <block s='doIfElse'>
              <block s='reportEquals'>
                <block s='getLastAnswer'/>
                <l>yes</l>
              </block>
              <script>
                <block s='doBroadcast'>
                  <l>Start</l>
                </block>
              </script>
              <script>
                <block s='doStopThis'>
                  <l>
                    <option>all</option>
                  </l>
                </block>
              </script>
            </block>
          </script>
        </scripts>
      </sprite>
      <watcher x='10' color='243,118,29' style='normal' hidden='true' y='10' var='SizeAnswer'/>
      <watcher x='10' color='243,118,29' style='normal' hidden='true' y='31.000001999999995' var='LevelAnswer'/>
    </sprites>
  </stage>
  <hidden/>
  <headers/>
  <code/>
  <blocks>
    <block-definition s='Make Square Fractal Level: %&apos;level&apos; Size: %&apos;size&apos;' category='looks' type='command'>
      <header/>
      <code/>
      <translations/>
      <inputs>
        <input type='%n'>1</input>
        <input type='%n'/>
      </inputs>
      <script>
        <block s='doIfElse'>
          <block s='reportEquals'>
            <block var='level'/>
            <l>1</l>
          </block>
          <script>
            <block s='doRepeat'>
              <l>4</l>
              <script>
                <block s='forward'>
                  <block var='size'/>
                </block>
                <block s='turn'>
                  <l>90</l>
                </block>
              </script>
            </block>
          </script>
          <script>
            <block s='doRepeat'>
              <l>4</l>
              <script>
                <block s='turnLeft'>
                  <l>180</l>
                </block>
                <block s='forward'>
                  <block var='size'/>
                </block>
                <custom-block s='Make Square Fractal Level: %n Size: %n'>
                  <block s='reportDifference'>
                    <block var='level'/>
                    <l>1</l>
                  </block>
                  <block s='reportProduct'>
                    <block var='size'/>
                    <l>.65</l>
                  </block>
                </custom-block>
                <block s='turn'>
                  <l>90</l>
                </block>
              </script>
            </block>
          </script>
        </block>
      </script>
    </block-definition>
  </blocks>
  <variables>
    <variable name='SizeAnswer'>
      <l>50</l>
    </variable>
    <variable name='LevelAnswer'>
      <l>5</l>
    </variable>
  </variables>
</project><media name="Square Fractal" app="Snap! 5.1, http://snap.berkeley.edu" version="1"></media></snapdata>