<snapdata remixID="9309603"><project name='Corona Data2' app='Snap! 5.4, http://snap.berkeley.edu' version='1'>
  <notes>This project shows all countries with reported COVID-19 cases (until March 24th). Data from https://ourworldindata.org/coronavirus-source-data
_____________________________________________________Move the slider at the bottom to change the date and see how different it looked only 5 days ago...</notes>
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</thumbnail>
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</pentrails>
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    <costumes>
      <list id='3' struct='atomic'/>
    </costumes>
    <sounds>
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    </sounds>
    <variables/>
    <blocks/>
    <scripts/>
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      <header/>
      <code/>
      <translations>de:$globe zeige aktuellen Standortpt:mostra a localização corrente do dispositivo no $globeca:$globe centra a la meva ubicació</translations>
      <inputs/>
      <script>
        <custom-block s='set $globe to lon: %n lat: %n'>
          <custom-block s='$globe current longitude'/>
          <custom-block s='$globe current latitude'/>
        </custom-block>
      </script>
    </block-definition>
    <block-definition s='$globe zoom' category='other' type='reporter'>
      <header/>
      <code/>
      <translations>de:$globe Zoompt:o zoom do $globeca:$globe zoom</translations>
      <inputs/>
      <script>
        <block s='doReport'>
          <block s='evaluate'>
            <block s='reportJSFunction'>
              <list>
                <l>stage</l>
              </list>
              <l>return stage.worldMap.zoom;</l>
            </block>
            <list>
              <block s='reportGet'>
                <l>
                  <option>stage</option>
                </l>
              </block>
            </list>
          </block>
        </block>
      </script>
    </block-definition>
    <block-definition s='set $globe zoom to %&apos;n&apos;' category='other' type='command'>
      <header/>
      <code/>
      <translations>de:setze $globe Zoom auf _pt:altera o zoom do $globe para _ca:$globe fixa el zoom a _</translations>
      <inputs>
        <input type='%n'>10</input>
      </inputs>
      <script>
        <block s='doRun'>
          <block s='reportJSFunction'>
            <list>
              <l>stage</l>
              <l>n</l>
            </list>
            <l>stage.worldMap.setZoom(n)</l>
          </block>
          <list>
            <block s='reportGet'>
              <l>
                <option>stage</option>
              </l>
            </block>
            <block var='n'/>
          </list>
        </block>
        <custom-block s='update $globe'/>
      </script>
    </block-definition>
    <block-definition s='set $globe to lon: %&apos;lon&apos; lat: %&apos;lat&apos;' category='other' type='command'>
      <header/>
      <code/>
      <translations>de:setze $globe auf Länge: _ Breite: _pt:altera a posição no $globe para (longitude: _ , latitude: _ )ca:$globe centra a longitud: _ latitud: _</translations>
      <inputs>
        <input type='%n'>-122.257852</input>
        <input type='%n'>37.872099</input>
      </inputs>
      <script>
        <block s='doRun'>
          <block s='reportJSFunction'>
            <list>
              <l>stage</l>
              <l>lat</l>
              <l>lon</l>
            </list>
            <l>stage.worldMap.setView(lon, lat);</l>
          </block>
          <list>
            <block s='reportGet'>
              <l>
                <option>stage</option>
              </l>
            </block>
            <block var='lat'/>
            <block var='lon'/>
          </list>
        </block>
        <custom-block s='update $globe'/>
      </script>
    </block-definition>
    <block-definition s='y of $globe latitude %&apos;lat&apos;' category='other' type='reporter'>
      <header/>
      <code/>
      <translations>de:y von $globe Breitengrad _pt:a coordenada y da latitude _ no $globeca:$globe y per a latitud _</translations>
      <inputs>
        <input type='%n'/>
      </inputs>
      <script>
        <block s='doReport'>
          <block s='evaluate'>
            <block s='reportJSFunction'>
              <list>
                <l>stage</l>
                <l>lat</l>
              </list>
              <l>return stage.worldMap.snapYfromLat(lat)</l>
            </block>
            <list>
              <block s='reportGet'>
                <l>
                  <option>stage</option>
                </l>
              </block>
              <block var='lat'/>
            </list>
          </block>
        </block>
      </script>
    </block-definition>
    <block-definition s='x of $globe longitude %&apos;lng&apos;' category='other' type='reporter'>
      <header/>
      <code/>
      <translations>de:x von $globe Längengrad _pt:a coordenada x da longidude _ no $globeca:$globe x per a longitud _</translations>
      <inputs>
        <input type='%n'/>
      </inputs>
      <script>
        <block s='doReport'>
          <block s='evaluate'>
            <block s='reportJSFunction'>
              <list>
                <l>stage</l>
                <l>lng</l>
              </list>
              <l>return stage.worldMap.snapXfromLon(lng)</l>
            </block>
            <list>
              <block s='reportGet'>
                <l>
                  <option>stage</option>
                </l>
              </block>
              <block var='lng'/>
            </list>
          </block>
        </block>
      </script>
    </block-definition>
    <block-definition s='change $globe by x: %&apos;x&apos; y: %&apos;y&apos; pixels' category='other' type='command'>
      <header/>
      <code/>
      <translations>de:ändere $globe um x: _ y: _ Pixelpt:desloca a posição do mapa de (x: _ , y: _ )ca:$globe canvia la ubicació en x: _ y: _ píxels</translations>
      <inputs>
        <input type='%n'>10</input>
        <input type='%n'>10</input>
      </inputs>
      <script>
        <block s='doRun'>
          <block s='reportJSFunction'>
            <list>
              <l>stage</l>
              <l>x</l>
              <l>y</l>
            </list>
            <l>stage.worldMap.panBy(x, y)</l>
          </block>
          <list>
            <block s='reportGet'>
              <l>
                <option>stage</option>
              </l>
            </block>
            <block var='x'/>
            <block var='y'/>
          </list>
        </block>
        <custom-block s='update $globe'/>
      </script>
    </block-definition>
    <block-definition s='$globe distance in km to %&apos;target&apos;' category='other' type='reporter'>
      <header/>
      <code/>
      <translations>de:$globe Entfernung in km zu _pt:a tua distância em km a _ no $globoca:$globe distància en km fins a _</translations>
      <inputs>
        <input readonly='true' type='%s'>
          <options>§_objectsMenu</options>
        </input>
      </inputs>
      <script>
        <block s='doDeclareVariables'>
          <list>
            <l>trg</l>
          </list>
        </block>
        <block s='doSetVar'>
          <l>trg</l>
          <block s='reportObject'>
            <block var='target'/>
          </block>
        </block>
        <block s='doIf'>
          <block s='reportNot'>
            <block s='reportAnd'>
              <block s='reportIsA'>
                <block s='reportGet'>
                  <l>
                    <option>self</option>
                  </l>
                </block>
                <l>
                  <option>sprite</option>
                </l>
              </block>
              <block s='reportIsA'>
                <block var='trg'/>
                <l>
                  <option>sprite</option>
                </l>
              </block>
            </block>
          </block>
          <script>
            <block s='doReport'>
              <l>-1</l>
            </block>
          </script>
        </block>
        <block s='doReport'>
          <block s='evaluate'>
            <block s='reportJSFunction'>
              <list>
                <l>stage</l>
                <l>lat1</l>
                <l>lng1</l>
                <l>lat2</l>
                <l>lng2</l>
              </list>
              <l>return stage.worldMap.distanceInKm(lat1, lng1, lat2, lng2)</l>
            </block>
            <list>
              <block s='reportGet'>
                <l>
                  <option>stage</option>
                </l>
              </block>
              <custom-block s='$globe latitude of y %n'>
                <block s='yPosition'/>
              </custom-block>
              <custom-block s='$globe longitude of x %n'>
                <block s='xPosition'/>
              </custom-block>
              <custom-block s='$globe latitude of y %n'>
                <block s='reportAttributeOf'>
                  <l>
                    <option>y position</option>
                  </l>
                  <block var='target'/>
                </block>
              </custom-block>
              <custom-block s='$globe longitude of x %n'>
                <block s='reportAttributeOf'>
                  <l>
                    <option>x position</option>
                  </l>
                  <block var='target'/>
                </block>
              </custom-block>
            </list>
          </block>
        </block>
      </script>
    </block-definition>
    <block-definition s='$globe current location' category='other' type='reporter'>
      <header/>
      <code/>
      <translations>de:$globe aktuelle Positionpt:a localização corrente do dispositivo no $globeca:$globe ubicació actual</translations>
      <inputs/>
      <script>
        <block s='doDeclareVariables'>
          <list>
            <l>test</l>
          </list>
        </block>
        <block s='doSetVar'>
          <l>test</l>
          <block s='evaluate'>
            <block s='reportJSFunction'>
              <list/>
              <l>var crd = new List(),    myself = this,    options = {      enableHighAccuracy: true,      timeout: 5000,      maximumAge: 0    };function success(pos) {  crd = new List([    pos.coords.latitude,    pos.coords.longitude  ]);}function error(err) {  crd = new List([37.872099, -122.257852]);  myself.inform(&apos;Warning:\nGeolocation failed.&apos;);}navigator.geolocation.getCurrentPosition(  success,  error,  options);return function () {return crd; }</l>
            </block>
            <list/>
          </block>
        </block>
        <block s='doWaitUntil'>
          <block s='reportEquals'>
            <block s='reportListLength'>
              <block s='evaluate'>
                <block var='test'/>
                <list/>
              </block>
            </block>
            <l>2</l>
          </block>
        </block>
        <block s='doReport'>
          <block s='evaluate'>
            <block var='test'/>
            <list/>
          </block>
        </block>
      </script>
    </block-definition>
    <block-definition s='$globe current latitude' category='other' type='reporter'>
      <header/>
      <code/>
      <translations>de:$globe aktueller Breitengradpt:a latitude corrente do dispositivo no $globeca:$globe latitud actual</translations>
      <inputs/>
      <script>
        <block s='doReport'>
          <block s='reportListItem'>
            <l>1</l>
            <custom-block s='$globe current location'/>
          </block>
        </block>
      </script>
    </block-definition>
    <block-definition s='$globe current longitude' category='other' type='reporter'>
      <header/>
      <code/>
      <translations>de:$globe aktueller Längengradpt:a longitude corrente do dispositivo no $globeca:$globe longitud actual</translations>
      <inputs/>
      <script>
        <block s='doReport'>
          <block s='reportListItem'>
            <l>2</l>
            <custom-block s='$globe current location'/>
          </block>
        </block>
      </script>
    </block-definition>
    <block-definition s='update $globe' category='other' type='command'>
      <header/>
      <code/>
      <translations>de:aktualisiere $globept:actualiza o $globeca:$globe força refresc</translations>
      <inputs/>
      <script>
        <block s='doRun'>
          <block s='reportJSFunction'>
            <list>
              <l>stage</l>
            </list>
            <l>stage.worldMap.extent = stage.dimensions;stage.worldMap.render()</l>
          </block>
          <list>
            <block s='reportGet'>
              <l>
                <option>stage</option>
              </l>
            </block>
          </list>
        </block>
        <block s='doTellTo'>
          <block s='reportGet'>
            <l>
              <option>stage</option>
            </l>
          </block>
          <block s='reifyScript'>
            <script>
              <block s='doSwitchToCostume'>
                <custom-block s='$globe as costume'/>
              </block>
            </script>
            <list/>
          </block>
          <list/>
        </block>
      </script>
    </block-definition>
    <block-definition s='$globe as costume' category='other' type='reporter'>
      <header/>
      <code/>
      <translations>de:$globe als Kostümpt:a parte visível do $globe na forma de trajeca:$globe vestit del mapa actual</translations>
      <inputs/>
      <script>
        <block s='doWaitUntil'>
          <block s='evaluate'>
            <block s='reportJSFunction'>
              <list>
                <l>stage</l>
              </list>
              <l>return !stage.worldMap.loading</l>
            </block>
            <list>
              <block s='reportGet'>
                <l>
                  <option>stage</option>
                </l>
              </block>
            </list>
          </block>
        </block>
        <block s='doReport'>
          <block s='evaluate'>
            <block s='reportJSFunction'>
              <list>
                <l>stage</l>
              </list>
              <l>return new Costume(stage.worldMap.canvas, &apos;map&apos;)</l>
            </block>
            <list>
              <block s='reportGet'>
                <l>
                  <option>stage</option>
                </l>
              </block>
            </list>
          </block>
        </block>
      </script>
    </block-definition>
    <block-definition s='set $globe style to %&apos;name&apos;' category='other' type='command'>
      <header/>
      <code/>
      <translations>de:setze $globe Stil auf _pt:altera o estilo do $globe para _ca:$globe fixa l&apos;estil de mapa a _</translations>
      <inputs>
        <input readonly='true' type='%s'>Wikimedia                <options>OpenStreetMapWikimediaWatercolorTonerTerrainTopographicSatelliteStreetsShadingMapbox (experimental)</options>
        </input>
      </inputs>
      <script>
        <block s='doRun'>
          <block s='reportJSFunction'>
            <list>
              <l>stage</l>
              <l>name</l>
            </list>
            <l>stage.worldMap.setHost(name)</l>
          </block>
          <list>
            <block s='reportGet'>
              <l>
                <option>stage</option>
              </l>
            </block>
            <block var='name'/>
          </list>
        </block>
        <custom-block s='update $globe'/>
      </script>
    </block-definition>
    <block-definition s='$flash analyze %&apos;data&apos;' category='lists' type='reporter'>
      <comment x='0' w='149' collapsed='false' y='0'>returns a frequency analysis of the argument list, represented as a two-column table, where the first column contains the unique values and the second column their occurrences</comment>
      <header/>
      <code/>
      <translations>pt:$flash as frequências dos itens de _</translations>
      <inputs>
        <input type='%l'/>
      </inputs>
      <script>
        <block s='doReport'>
          <block s='evaluate'>
            <block s='reportJSFunction'>
              <list>
                <l>list</l>
              </list>
              <l>var dict = new Map(),    result = [],    data = list.asArray(),    len = data.length,    i;for (i = 0; i &lt; len; i += 1) {    if (dict.has(data[i])) {        dict.set(data[i], dict.get(data[i]) + 1);    } else {        dict.set(data[i], 1);    }}dict.forEach(function (value, key) {    result.push(new List([key, value]));});return new List(result);</l>
            </block>
            <list>
              <block var='data'/>
            </list>
          </block>
        </block>
      </script>
    </block-definition>
    <block-definition s='$flash group %&apos;data&apos; by %&apos;fn&apos;' category='lists' type='reporter'>
      <header/>
      <code/>
      <translations>pt:o agrupamento dos itens de _ de acordo com _</translations>
      <inputs>
        <input type='%l'/>
        <input type='%repRing'/>
      </inputs>
      <script>
        <block s='doReport'>
          <block s='evaluate'>
            <block s='reportJSFunction'>
              <list>
                <l>data</l>
                <l>fn</l>
                <l>proc</l>
              </list>
              <l>return proc.reportAtomicGroup(data, fn);</l>
            </block>
            <list>
              <block var='data'/>
              <block var='fn'/>
            </list>
          </block>
        </block>
      </script>
    </block-definition>
    <block-definition s='$flash sort %&apos;data&apos; by %&apos;fn&apos;' category='lists' type='reporter'>
      <header/>
      <code/>
      <translations>pt:uma ordenação de _ com critério _</translations>
      <inputs>
        <input type='%l'/>
        <input type='%predRing'/>
      </inputs>
      <script>
        <block s='doReport'>
          <block s='evaluate'>
            <block s='reportJSFunction'>
              <list>
                <l>data</l>
                <l>fn</l>
                <l>proc</l>
              </list>
              <l>return proc.reportAtomicSort(data, fn);</l>
            </block>
            <list>
              <block var='data'/>
              <block var='fn'/>
            </list>
          </block>
        </block>
      </script>
    </block-definition>
    <block-definition s='histogram of %&apos;data&apos; from: %&apos;floor&apos; to: %&apos;ceiling&apos; interval: %&apos;interval&apos;' category='lists' type='reporter'>
      <header/>
      <code/>
      <translations>pt:o histograma de _ entre _ e _ com intervalo _</translations>
      <inputs>
        <input type='%l'/>
        <input type='%n'/>
        <input type='%n'/>
        <input type='%n'>1</input>
      </inputs>
      <script>
        <block s='doReport'>
          <custom-block s='fill %l key: %repRing from: %n to: %n interval: %repRing with: %repRing'>
            <custom-block s='$flash sort %l by %predRing'>
              <custom-block s='$flash analyze %l'>
                <block var='data'/>
              </custom-block>
              <block s='reifyPredicate'>
                <autolambda>
                  <block s='reportLessThan'>
                    <block s='reportListItem'>
                      <l>1</l>
                      <l/>
                    </block>
                    <block s='reportListItem'>
                      <l>1</l>
                      <l/>
                    </block>
                  </block>
                </autolambda>
                <list/>
              </block>
            </custom-block>
            <block s='reifyReporter'>
              <autolambda>
                <block s='reportListItem'>
                  <l>1</l>
                  <l/>
                </block>
              </autolambda>
              <list/>
            </block>
            <block var='floor'/>
            <block var='ceiling'/>
            <block s='reifyReporter'>
              <autolambda>
                <block s='reportSum'>
                  <l/>
                  <block var='interval'/>
                </block>
              </autolambda>
              <list/>
            </block>
            <block s='reifyReporter'>
              <autolambda>
                <block s='reportNewList'>
                  <list>
                    <l/>
                    <l>0</l>
                  </list>
                </block>
              </autolambda>
              <list/>
            </block>
          </custom-block>
        </block>
      </script>
    </block-definition>
    <block-definition s='histogram of %&apos;data&apos; grouped by: %&apos;key&apos; from: %&apos;floor&apos; to: %&apos;ceiling&apos; interval: %&apos;interval&apos;' category='lists' type='reporter'>
      <header/>
      <code/>
      <translations>pt:o histograma de _ agrupado de acordo com _ entre _ e _ com passo _</translations>
      <inputs>
        <input type='%l'/>
        <input type='%repRing'/>
        <input type='%n'/>
        <input type='%n'/>
        <input type='%repRing'/>
      </inputs>
      <script>
        <block s='doReport'>
          <custom-block s='fill %l key: %repRing from: %n to: %n interval: %repRing with: %repRing'>
            <custom-block s='$flash sort %l by %predRing'>
              <custom-block s='$flash group %l by %repRing'>
                <block var='data'/>
                <block var='key'/>
              </custom-block>
              <block s='reifyPredicate'>
                <autolambda>
                  <block s='reportLessThan'>
                    <block s='reportListItem'>
                      <l>1</l>
                      <l/>
                    </block>
                    <block s='reportListItem'>
                      <l>1</l>
                      <l/>
                    </block>
                  </block>
                </autolambda>
                <list/>
              </block>
            </custom-block>
            <block s='reifyReporter'>
              <autolambda>
                <block s='reportListItem'>
                  <l>1</l>
                  <l/>
                </block>
              </autolambda>
              <list/>
            </block>
            <block var='floor'/>
            <block var='ceiling'/>
            <block var='interval'/>
            <block s='reifyReporter'>
              <autolambda>
                <block s='reportNewList'>
                  <list>
                    <l/>
                    <l>0</l>
                    <block s='reportNewList'>
                      <list/>
                    </block>
                  </list>
                </block>
              </autolambda>
              <list/>
            </block>
          </custom-block>
        </block>
      </script>
    </block-definition>
    <block-definition s='fill %&apos;data&apos; key: %&apos;key&apos; from: %&apos;floor&apos; to: %&apos;ceiling&apos; interval: %&apos;interval&apos; with: %&apos;generator&apos;' category='lists' type='reporter'>
      <comment x='0' w='103' collapsed='false' y='0'>add missing entries to a sorted list. Used for histograms</comment>
      <header/>
      <code/>
      <translations>pt:os itens de _ com a chave _ entre _ e _ com passo _ completados por _</translations>
      <inputs>
        <input type='%l'/>
        <input type='%repRing'/>
        <input type='%n'/>
        <input type='%n'/>
        <input type='%repRing'/>
        <input type='%repRing'/>
      </inputs>
      <script>
        <block s='doIf'>
          <block s='reportGreaterThan'>
            <block var='floor'/>
            <block var='ceiling'/>
          </block>
          <script>
            <block s='doReport'>
              <block s='reportNewList'>
                <list/>
              </block>
            </block>
          </script>
        </block>
        <block s='doIf'>
          <block s='reportEquals'>
            <block var='data'/>
            <block s='reportNewList'>
              <list/>
            </block>
          </block>
          <script>
            <block s='doReport'>
              <block s='reportCONS'>
                <block s='evaluate'>
                  <block var='generator'/>
                  <list>
                    <block var='floor'/>
                  </list>
                </block>
                <custom-block s='fill %l key: %repRing from: %n to: %n interval: %repRing with: %repRing'>
                  <block var='data'/>
                  <block var='key'/>
                  <block s='evaluate'>
                    <block var='interval'/>
                    <list>
                      <block var='floor'/>
                    </list>
                  </block>
                  <block var='ceiling'/>
                  <block var='interval'/>
                  <block var='generator'/>
                </custom-block>
              </block>
            </block>
          </script>
        </block>
        <block s='doIf'>
          <block s='reportLessThan'>
            <block s='evaluate'>
              <block var='key'/>
              <list>
                <block s='reportListItem'>
                  <l>1</l>
                  <block var='data'/>
                </block>
              </list>
            </block>
            <block var='floor'/>
          </block>
          <script>
            <block s='doReport'>
              <custom-block s='fill %l key: %repRing from: %n to: %n interval: %repRing with: %repRing'>
                <block s='reportCDR'>
                  <block var='data'/>
                </block>
                <block var='key'/>
                <block var='floor'/>
                <block var='ceiling'/>
                <block var='interval'/>
                <block var='generator'/>
              </custom-block>
            </block>
          </script>
        </block>
        <block s='doIf'>
          <block s='reportEquals'>
            <block s='evaluate'>
              <block var='key'/>
              <list>
                <block s='reportListItem'>
                  <l>1</l>
                  <block var='data'/>
                </block>
              </list>
            </block>
            <block var='floor'/>
          </block>
          <script>
            <block s='doReport'>
              <block s='reportCONS'>
                <block s='reportListItem'>
                  <l>1</l>
                  <block var='data'/>
                </block>
                <custom-block s='fill %l key: %repRing from: %n to: %n interval: %repRing with: %repRing'>
                  <block s='reportCDR'>
                    <block var='data'/>
                  </block>
                  <block var='key'/>
                  <block s='evaluate'>
                    <block var='interval'/>
                    <list>
                      <block var='floor'/>
                    </list>
                  </block>
                  <block var='ceiling'/>
                  <block var='interval'/>
                  <block var='generator'/>
                </custom-block>
              </block>
            </block>
          </script>
        </block>
        <block s='doReport'>
          <block s='reportCONS'>
            <block s='evaluate'>
              <block var='generator'/>
              <list>
                <block var='floor'/>
              </list>
            </block>
            <custom-block s='fill %l key: %repRing from: %n to: %n interval: %repRing with: %repRing'>
              <block var='data'/>
              <block var='key'/>
              <block s='evaluate'>
                <block var='interval'/>
                <list>
                  <block var='floor'/>
                </list>
              </block>
              <block var='ceiling'/>
              <block var='interval'/>
              <block var='generator'/>
            </custom-block>
          </block>
        </block>
      </script>
    </block-definition>
    <block-definition s='pipe %&apos;value&apos; $arrowRight %&apos;pipe&apos;' category='control' type='reporter'>
      <header/>
      <code/>
      <translations>pt:a aplicação a _ de _</translations>
      <inputs>
        <input type='%s'/>
        <input type='%mult%repRing'/>
      </inputs>
      <script>
        <block s='doIf'>
          <block s='reportListIsEmpty'>
            <block var='pipe'/>
          </block>
          <script>
            <block s='doReport'>
              <block var='value'/>
            </block>
          </script>
        </block>
        <block s='doReport'>
          <custom-block s='pipe %s $arrowRight %mult%repRing'>
            <block s='evaluate'>
              <block s='reportListItem'>
                <l>1</l>
                <block var='pipe'/>
              </block>
              <list>
                <block var='value'/>
              </list>
            </block>
            <block s='reportCDR'>
              <block var='pipe'/>
            </block>
          </custom-block>
        </block>
      </script>
    </block-definition>
    <block-definition s='%&apos;text&apos; $arrowRight lower case' category='operators' type='reporter'>
      <header/>
      <code/>
      <translations>pt:_ em minúsculas</translations>
      <inputs>
        <input type='%s'/>
      </inputs>
      <script>
        <block s='doReport'>
          <block s='evaluate'>
            <block s='reportJSFunction'>
              <list>
                <l>txt</l>
              </list>
              <l>return txt.toLowerCase()</l>
            </block>
            <list>
              <block var='text'/>
            </list>
          </block>
        </block>
      </script>
    </block-definition>
    <block-definition s='plot %&apos;data&apos; bars at x: %&apos;left&apos; y: %&apos;bottom&apos; width: %&apos;width&apos; height: %&apos;height&apos;' category='pen' type='command'>
      <header/>
      <code/>
      <translations>pt:desenha gráfico de barras de _ em (x: _ , y: _ ) com largura _ e altura _</translations>
      <inputs>
        <input type='%l'/>
        <input type='%n'>-200</input>
        <input type='%n'>-100</input>
        <input type='%n'>400</input>
        <input type='%n'>200</input>
      </inputs>
      <script>
        <block s='doDeclareVariables'>
          <list>
            <l>ratio</l>
            <l>step</l>
            <l>flat line ends</l>
            <l>col</l>
            <l>sorted</l>
            <l>min</l>
          </list>
        </block>
        <block s='doSetVar'>
          <l>flat line ends</l>
          <block s='evaluate'>
            <block s='reportJSFunction'>
              <list/>
              <l>var isFlat = SpriteMorph.prototype.useFlatLineEnds;SpriteMorph.prototype.useFlatLineEnds = true;return isFlat;</l>
            </block>
            <list/>
          </block>
        </block>
        <block s='doSetVar'>
          <l>sorted</l>
          <custom-block s='$flash sort %l by %predRing'>
            <block var='data'/>
            <block s='reifyPredicate'>
              <autolambda>
                <block s='reportGreaterThan'>
                  <l/>
                  <l/>
                </block>
              </autolambda>
              <list/>
            </block>
          </custom-block>
        </block>
        <block s='doIfElse'>
          <block s='reportLessThan'>
            <block s='reportListItem'>
              <l>
                <option>last</option>
              </l>
              <block var='sorted'/>
            </block>
            <l>0</l>
          </block>
          <script>
            <block s='doSetVar'>
              <l>min</l>
              <block s='reportListItem'>
                <l>
                  <option>last</option>
                </l>
                <block var='sorted'/>
              </block>
            </block>
          </script>
          <script>
            <block s='doSetVar'>
              <l>min</l>
              <l>0</l>
            </block>
          </script>
        </block>
        <block s='doSetVar'>
          <l>ratio</l>
          <block s='reportQuotient'>
            <block var='height'/>
            <block s='reportDifference'>
              <block s='reportListItem'>
                <l>1</l>
                <block var='sorted'/>
              </block>
              <block var='min'/>
            </block>
          </block>
        </block>
        <block s='doSetVar'>
          <l>step</l>
          <block s='reportQuotient'>
            <block var='width'/>
            <block s='reportListLength'>
              <block var='data'/>
            </block>
          </block>
        </block>
        <block s='doIfElse'>
          <block s='reportGreaterThan'>
            <block var='step'/>
            <l>2</l>
          </block>
          <script>
            <block s='doSetVar'>
              <l>col</l>
              <block s='reportDifference'>
                <block var='step'/>
                <l>1</l>
              </block>
            </block>
          </script>
          <script>
            <block s='doSetVar'>
              <l>col</l>
              <block s='reportProduct'>
                <block var='step'/>
                <l>0.8</l>
              </block>
            </block>
          </script>
        </block>
        <block s='gotoXY'>
          <block var='left'/>
          <block var='bottom'/>
        </block>
        <block s='setSize'>
          <l>0.5</l>
        </block>
        <block s='down'/>
        <block s='changeXPosition'>
          <block s='reportQuotient'>
            <block var='step'/>
            <l>2</l>
          </block>
        </block>
        <block s='doWarp'>
          <script>
            <block s='doUntil'>
              <block s='reportEquals'>
                <block s='reportListLength'>
                  <block var='data'/>
                </block>
                <l>0</l>
              </block>
              <script>
                <block s='setSize'>
                  <block var='col'/>
                </block>
                <block s='changeYPosition'>
                  <block s='reportProduct'>
                    <block s='reportDifference'>
                      <block s='reportListItem'>
                        <l>1</l>
                        <block var='data'/>
                      </block>
                      <block var='min'/>
                    </block>
                    <block var='ratio'/>
                  </block>
                </block>
                <block s='setYPosition'>
                  <block var='bottom'/>
                </block>
                <block s='setSize'>
                  <l>0.5</l>
                </block>
                <block s='doSetVar'>
                  <l>data</l>
                  <block s='reportCDR'>
                    <block var='data'/>
                  </block>
                </block>
                <block s='doIfElse'>
                  <block s='reportGreaterThan'>
                    <block s='reportListLength'>
                      <block var='data'/>
                    </block>
                    <l>0</l>
                  </block>
                  <script>
                    <block s='changeXPosition'>
                      <block var='step'/>
                    </block>
                  </script>
                  <script>
                    <block s='changeXPosition'>
                      <block s='reportQuotient'>
                        <block var='step'/>
                        <l>2</l>
                      </block>
                    </block>
                  </script>
                </block>
              </script>
            </block>
          </script>
        </block>
        <block s='up'/>
        <block s='doRun'>
          <block s='reportJSFunction'>
            <list>
              <l>flag</l>
            </list>
            <l>SpriteMorph.prototype.useFlatLineEnds = flag;</l>
          </block>
          <list>
            <block var='flat line ends'/>
          </list>
        </block>
      </script>
    </block-definition>
    <block-definition s='$globe longitude of x %&apos;x&apos;' category='other' type='reporter'>
      <header/>
      <code/>
      <translations>de:$globe Längengrad von x _pt:a longitude no $globe da coordenada x _</translations>
      <inputs>
        <input type='%n'>0</input>
      </inputs>
      <script>
        <block s='doReport'>
          <block s='evaluate'>
            <block s='reportJSFunction'>
              <list>
                <l>stage</l>
                <l>x</l>
              </list>
              <l>return stage.worldMap.lonFromSnapX(x)</l>
            </block>
            <list>
              <block s='reportGet'>
                <l>
                  <option>stage</option>
                </l>
              </block>
              <block var='x'/>
            </list>
          </block>
        </block>
      </script>
    </block-definition>
    <block-definition s='$globe latitude of y %&apos;y&apos;' category='other' type='reporter'>
      <header/>
      <code/>
      <translations>de:$globe Breitengrad von y _pt:a latitude no $globe da coordenada y _</translations>
      <inputs>
        <input type='%n'>0</input>
      </inputs>
      <script>
        <block s='doReport'>
          <block s='evaluate'>
            <block s='reportJSFunction'>
              <list>
                <l>stage</l>
                <l>y</l>
              </list>
              <l>return stage.worldMap.latFromSnapY(y)</l>
            </block>
            <list>
              <block s='reportGet'>
                <l>
                  <option>stage</option>
                </l>
              </block>
              <block var='y'/>
            </list>
          </block>
        </block>
      </script>
    </block-definition>
    <block-definition s='listify %&apos;jsonString&apos;' category='operators' type='reporter'>
      <header/>
      <code/>
      <translations>pt:os dados JSON _ em formato de lista</translations>
      <inputs>
        <input type='%mlt'/>
      </inputs>
      <script>
        <block s='doReport'>
          <block s='evaluate'>
            <block s='reportJSFunction'>
              <list>
                <l>jsonString</l>
              </list>
              <l>return listify(JSON.parse(jsonString));function listify(jsonObject) {  if (jsonObject instanceof Array) {    return new List(jsonObject.map(function(eachElement) { return listify(eachElement)}));  } else if (jsonObject instanceof Object) {    return new List(Object.keys(jsonObject).map(function(eachKey) { return new List([eachKey,listify(jsonObject[eachKey])])} ))  } else {    return jsonObject  }}</l>
            </block>
            <list>
              <block var='jsonString'/>
            </list>
          </block>
        </block>
      </script>
    </block-definition>
    <block-definition s='value at key %&apos;key&apos; of %&apos;lst&apos;' category='operators' type='reporter'>
      <header/>
      <code/>
      <translations>pt:o valor com chave _ em _</translations>
      <inputs>
        <input type='%s'/>
        <input type='%l'/>
      </inputs>
      <script>
        <block s='doWarp'>
          <script>
            <block s='doForEach'>
              <l>each item</l>
              <block var='lst'/>
              <script>
                <block s='doIf'>
                  <block s='reportEquals'>
                    <block s='reportListItem'>
                      <l>1</l>
                      <block var='each item'/>
                    </block>
                    <block var='key'/>
                  </block>
                  <script>
                    <block s='doReport'>
                      <block s='reportListItem'>
                        <l>2</l>
                        <block var='each item'/>
                      </block>
                    </block>
                  </script>
                </block>
              </script>
            </block>
          </script>
        </block>
        <block s='doReport'>
          <l/>
        </block>
      </script>
    </block-definition>
    <block-definition s='find %&apos;element&apos; in %&apos;data&apos;' category='sensing' type='reporter'>
      <comment x='0' w='141.8181818181818' collapsed='false' y='0'>reports different parameters of current weather data:weather -&gt; reports the dominant parameter with corresponding iconwind -&gt; reports current wind speed [m/s]rain -&gt; reports projected precipitation volume for next hour [mm]clouds -&gt; cloudiness [%]temperature -&gt; current temperature in °Kelvin</comment>
      <header/>
      <code/>
      <translations/>
      <inputs>
        <input readonly='true' type='%s'>
          <options>weatherwindraincloudstemperature</options>
        </input>
        <input type='%l'/>
      </inputs>
      <script>
        <block s='doIf'>
          <block s='reportListContainsItem'>
            <block s='reportMap'>
              <block s='reifyReporter'>
                <autolambda>
                  <block s='reportListItem'>
                    <l>1</l>
                    <l/>
                  </block>
                </autolambda>
                <list/>
              </block>
              <block var='data'/>
            </block>
            <block var='element'/>
          </block>
          <script>
            <block s='doIf'>
              <block s='reportEquals'>
                <block var='element'/>
                <l>weather</l>
              </block>
              <script>
                <block s='doReport'>
                  <block s='reportNewList'>
                    <list>
                      <block s='reportListItem'>
                        <l>2</l>
                        <block s='reportListItem'>
                          <l>3</l>
                          <block s='reportListItem'>
                            <l>1</l>
                            <block s='reportListItem'>
                              <l>2</l>
                              <block s='reportListItem'>
                                <l>1</l>
                                <block var='data'/>
                              </block>
                            </block>
                          </block>
                        </block>
                      </block>
                      <block s='reportListItem'>
                        <l>2</l>
                        <block s='reportListItem'>
                          <l>4</l>
                          <block s='reportListItem'>
                            <l>1</l>
                            <block s='reportListItem'>
                              <l>2</l>
                              <block s='reportListItem'>
                                <l>1</l>
                                <block var='data'/>
                              </block>
                            </block>
                          </block>
                        </block>
                      </block>
                    </list>
                  </block>
                </block>
              </script>
            </block>
            <block s='doIf'>
              <block s='reportEquals'>
                <block var='element'/>
                <l>wind</l>
              </block>
              <script>
                <block s='doReport'>
                  <block s='reportListItem'>
                    <l>2</l>
                    <block s='reportListItem'>
                      <l>1</l>
                      <block s='reportListItem'>
                        <l>2</l>
                        <block s='reportListItem'>
                          <l>3</l>
                          <block var='data'/>
                        </block>
                      </block>
                    </block>
                  </block>
                </block>
              </script>
            </block>
            <block s='doIf'>
              <block s='reportEquals'>
                <block var='element'/>
                <l>rain</l>
              </block>
              <script>
                <block s='doReport'>
                  <block s='reportListItem'>
                    <l>2</l>
                    <block s='reportListItem'>
                      <l>1</l>
                      <block s='reportListItem'>
                        <l>2</l>
                        <block s='reportListItem'>
                          <l>4</l>
                          <block var='data'/>
                        </block>
                      </block>
                    </block>
                  </block>
                </block>
              </script>
            </block>
            <block s='doIf'>
              <block s='reportEquals'>
                <block var='element'/>
                <l>clouds</l>
              </block>
              <script>
                <block s='doIfElse'>
                  <block s='reportListContainsItem'>
                    <block s='reportMap'>
                      <block s='reifyReporter'>
                        <autolambda>
                          <block s='reportListItem'>
                            <l>1</l>
                            <l/>
                          </block>
                        </autolambda>
                        <list/>
                      </block>
                      <block var='data'/>
                    </block>
                    <l>rain</l>
                  </block>
                  <script>
                    <block s='doReport'>
                      <block s='reportListItem'>
                        <l>2</l>
                        <block s='reportListItem'>
                          <l>1</l>
                          <block s='reportListItem'>
                            <l>2</l>
                            <block s='reportListItem'>
                              <l>5</l>
                              <block var='data'/>
                            </block>
                          </block>
                        </block>
                      </block>
                    </block>
                  </script>
                  <script>
                    <block s='doReport'>
                      <block s='reportListItem'>
                        <l>2</l>
                        <block s='reportListItem'>
                          <l>1</l>
                          <block s='reportListItem'>
                            <l>2</l>
                            <block s='reportListItem'>
                              <l>4</l>
                              <block var='data'/>
                            </block>
                          </block>
                        </block>
                      </block>
                    </block>
                  </script>
                </block>
              </script>
            </block>
          </script>
        </block>
        <block s='doIf'>
          <block s='reportAnd'>
            <block s='reportListContainsItem'>
              <block s='reportMap'>
                <block s='reifyReporter'>
                  <autolambda>
                    <block s='reportListItem'>
                      <l>1</l>
                      <l/>
                    </block>
                  </autolambda>
                  <list/>
                </block>
                <block var='data'/>
              </block>
              <l>main</l>
            </block>
            <block s='reportEquals'>
              <block var='element'/>
              <l>temperature</l>
            </block>
          </block>
          <script>
            <block s='doReport'>
              <block s='reportListItem'>
                <l>2</l>
                <block s='reportListItem'>
                  <l>1</l>
                  <block s='reportListItem'>
                    <l>2</l>
                    <block s='reportListItem'>
                      <l>2</l>
                      <block var='data'/>
                    </block>
                  </block>
                </block>
              </block>
            </block>
          </script>
        </block>
        <block s='doReport'>
          <l>Dieser Wert ist in den aktuellen Daten nicht vorhanden</l>
        </block>
      </script>
    </block-definition>
    <block-definition s='print numbers %&apos;numbers&apos;' category='pen' type='command'>
      <header/>
      <code/>
      <translations/>
      <inputs>
        <input type='%n'/>
      </inputs>
      <script>
        <block s='show'/>
        <block s='doForEach'>
          <l>Element</l>
          <block s='reportTextSplit'>
            <block var='numbers'/>
            <l>
              <option>letter</option>
            </l>
          </block>
          <script>
            <block s='doIfElse'>
              <block s='reportIsA'>
                <block var='Element'/>
                <l>
                  <option>number</option>
                </l>
              </block>
              <script>
                <block s='forward'>
                  <l>12</l>
                </block>
                <block s='doSwitchToCostume'>
                  <block s='reportSum'>
                    <block var='Element'/>
                    <l>1</l>
                  </block>
                </block>
                <block s='doPasteOn'>
                  <block s='reportGet'>
                    <l>
                      <option>anchor</option>
                    </l>
                  </block>
                </block>
              </script>
              <script>
                <block s='forward'>
                  <l>8</l>
                </block>
              </script>
            </block>
          </script>
        </block>
        <block s='hide'/>
      </script>
    </block-definition>
    <block-definition s='set $globe to location: %&apos;name of location&apos;' category='other' type='command'>
      <header/>
      <code/>
      <translations>de:setze $globe auf Länge: _ Breite: _</translations>
      <inputs>
        <input type='%txt'>Leimen</input>
      </inputs>
      <script>
        <block s='doDeclareVariables'>
          <list>
            <l>Geocode API Key</l>
            <l>result</l>
          </list>
        </block>
        <block s='doSetVar'>
          <l>Geocode API Key</l>
          <l>f21a2b96b2a14f049b4cfe7e3a2ecde8 </l>
        </block>
        <block s='doSetVar'>
          <l>result</l>
          <block s='reportTextSplit'>
            <block s='reportURL'>
              <block s='reportJoinWords'>
                <list>
                  <l>https://api.opencagedata.com/geocode/v1/json?q=</l>
                  <block var='name of location'/>
                  <l>&amp;key=</l>
                  <block var='Geocode API Key'/>
                </list>
              </block>
            </block>
            <l>
              <option>json</option>
            </l>
          </block>
        </block>
        <custom-block s='set $globe to lon: %n lat: %n'>
          <custom-block s='value at key %s of %l'>
            <l>lng</l>
            <custom-block s='value at key %s of %l'>
              <l>geometry</l>
              <block s='reportListItem'>
                <l>1</l>
                <custom-block s='value at key %s of %l'>
                  <l>results</l>
                  <block var='result'/>
                </custom-block>
              </block>
            </custom-block>
          </custom-block>
          <custom-block s='value at key %s of %l'>
            <l>lat</l>
            <custom-block s='value at key %s of %l'>
              <l>geometry</l>
              <block s='reportListItem'>
                <l>1</l>
                <custom-block s='value at key %s of %l'>
                  <l>results</l>
                  <block var='result'/>
                </custom-block>
              </block>
            </custom-block>
          </custom-block>
        </custom-block>
        <custom-block s='update $globe'/>
      </script>
    </block-definition>
    <block-definition s='report lng/lat from location %&apos;name of location&apos;' category='other' type='reporter'>
      <header/>
      <code/>
      <translations/>
      <inputs>
        <input type='%s'/>
      </inputs>
      <script>
        <block s='doDeclareVariables'>
          <list>
            <l>Geocode API Key</l>
            <l>result</l>
          </list>
        </block>
        <block s='doSetVar'>
          <l>Geocode API Key</l>
          <l>f21a2b96b2a14f049b4cfe7e3a2ecde8 </l>
        </block>
        <block s='doSetVar'>
          <l>result</l>
          <block s='reportTextSplit'>
            <block s='reportURL'>
              <block s='reportJoinWords'>
                <list>
                  <l>https://api.opencagedata.com/geocode/v1/json?q=</l>
                  <block var='name of location'/>
                  <l>&amp;key=</l>
                  <block var='Geocode API Key'/>
                </list>
              </block>
            </block>
            <l>
              <option>json</option>
            </l>
          </block>
        </block>
        <block s='doReport'>
          <block s='reportNewList'>
            <list>
              <custom-block s='value at key %s of %l'>
                <l>lng</l>
                <custom-block s='value at key %s of %l'>
                  <l>geometry</l>
                  <block s='reportListItem'>
                    <l>1</l>
                    <custom-block s='value at key %s of %l'>
                      <l>results</l>
                      <block var='result'/>
                    </custom-block>
                  </block>
                </custom-block>
              </custom-block>
              <custom-block s='value at key %s of %l'>
                <l>lat</l>
                <custom-block s='value at key %s of %l'>
                  <l>geometry</l>
                  <block s='reportListItem'>
                    <l>1</l>
                    <custom-block s='value at key %s of %l'>
                      <l>results</l>
                      <block var='result'/>
                    </custom-block>
                  </block>
                </custom-block>
              </custom-block>
            </list>
          </block>
        </block>
      </script>
    </block-definition>
    <block-definition s='subtract dates %&apos;d1&apos; %&apos;d2&apos;' category='other' type='reporter'>
      <header/>
      <code/>
      <translations/>
      <inputs>
        <input type='%s'/>
        <input type='%s'/>
      </inputs>
      <script>
        <block s='doReport'>
          <block s='reportQuotient'>
            <block s='evaluate'>
              <block s='reportJSFunction'>
                <list>
                  <l>date1</l>
                  <l>date2</l>
                </list>
                <l>var d = new Date(date1);var d2 = new Date(date2);return d2.getTime()-d.getTime();</l>
              </block>
              <list>
                <block var='d1'/>
                <block var='d2'/>
              </list>
            </block>
            <l>86400000</l>
          </block>
        </block>
      </script>
    </block-definition>
    <block-definition s='add days %&apos;number&apos; to date %&apos;date&apos;' category='other' type='reporter'>
      <header/>
      <code/>
      <translations/>
      <inputs>
        <input type='%s'/>
        <input type='%s'/>
      </inputs>
      <script>
        <block s='doReport'>
          <block s='evaluate'>
            <block s='reportJSFunction'>
              <list>
                <l>date</l>
                <l>number</l>
              </list>
              <l>var d = new Date(date);var num = 86400000*number;d = new Date(d.getTime()+num);return d.toISOString().slice(0,10)</l>
            </block>
            <list>
              <block var='date'/>
              <block var='number'/>
            </list>
          </block>
        </block>
      </script>
    </block-definition>
  </blocks>
  <variables>
    <variable name='total_cases'>
      <list id='1881'>
        <item>
          <list id='1882' struct='atomic'>date,World,Afghanistan,Albania,Algeria,Andorra,Angola,Antigua and Barbuda,Argentina,Armenia,Australia,Austria,Azerbaijan,Bahamas,Bahrain,Bangladesh,Barbados,Belarus,Belgium,Belize,Benin,Bermuda,Bhutan,Bolivia,Bosnia and Herzegovina,Brazil,Brunei,Bulgaria,Burkina Faso,Cambodia,Cameroon,Canada,Cape Verde,Cayman Islands,Central African Republic,Chad,Chile,China,Colombia,Congo,Costa Rica,Cote d&apos;Ivoire,Croatia,Cuba,Cyprus,Czech Republic,Democratic Republic of Congo,Denmark,Djibouti,Dominica,Dominican Republic,Ecuador,Egypt,El Salvador,Equatorial Guinea,Eritrea,Estonia,Ethiopia,Faeroe Islands,Fiji,Finland,France,French Polynesia,Gabon,Gambia,Georgia,Germany,Ghana,Gibraltar,Greece,Greenland,Grenada,Guam,Guatemala,Guernsey,Guinea,Guyana,Haiti,Honduras,Hungary,Iceland,India,Indonesia,International,Iran,Iraq,Ireland,Isle of Man,Israel,Italy,Jamaica,Japan,Jersey,Jordan,Kazakhstan,Kenya,Kosovo,Kuwait,Kyrgyzstan,Latvia,Lebanon,Liberia,Liechtenstein,Lithuania,Luxembourg,Macedonia,Madagascar,Malaysia,Maldives,Malta,Mauritania,Mauritius,Mexico,Moldova,Monaco,Mongolia,Montenegro,Montserrat,Morocco,Mozambique,Myanmar,Namibia,Nepal,Netherlands,Netherlands Antilles,New Caledonia,New Zealand,Nicaragua,Niger,Nigeria,Norway,Oman,Pakistan,Palestine,Panama,Papua New Guinea,Paraguay,Peru,Philippines,Poland,Portugal,Qatar,Romania,Russia,Rwanda,Saint Lucia,Saint Vincent and the Grenadines,San Marino,Saudi Arabia,Senegal,Serbia,Seychelles,Singapore,Slovakia,Slovenia,Somalia,South Africa,South Korea,Spain,Sri Lanka,Sudan,Suriname,Swaziland,Sweden,Switzerland,Syria,Taiwan,Tanzania,Thailand,Timor,Togo,Trinidad and Tobago,Tunisia,Turkey,Uganda,Ukraine,United Arab Emirates,United Kingdom,United States,United States Virgin Islands,Uruguay,Uzbekistan,Vatican,Venezuela,Vietnam,Zambia,Zimbabwe</list>
        </item>
        <item>
          <list id='1883' struct='atomic'>2019-12-31,27,0,,0,,,,,0,0,0,0,,0,,,0,0,,,,,,,0,,,,0,,0,,,,,,27,,,,,0,,,0,,0,,,0,0,0,,,,0,,,,0,0,,,,0,0,,,0,,,,,,,,,,,0,0,0,0,0,0,0,,0,0,,0,,,,,,0,,,0,,,0,0,0,,0,,,,,0,,0,,,,,,,,0,0,,,0,,,0,0,0,0,,,,,,0,,,0,0,0,,,,0,,,,,0,,,,,0,0,0,,,,0,0,,0,,0,,,,,,,,0,0,0,,,,,,0,,</list>
        </item>
        <item>
          <list id='1884' struct='atomic'>2020-01-01,27,0,,0,,,,,0,0,0,0,,0,,,0,0,,,,,,,0,,,,0,,0,,,,,,27,,,,,0,,,0,,0,,,0,0,0,,,,0,,,,0,0,,,,0,0,,,0,,,,,,,,,,,0,0,0,0,0,0,0,,0,0,,0,,,,,,0,,,0,,,0,0,0,,0,,,,,0,,0,,,,,,,,0,0,,,0,,,0,0,0,0,,,,,,0,,,0,0,0,,,,0,,,,,0,,,,,0,0,0,,,,0,0,,0,,0,,,,,,,,0,0,0,,,,,,0,,</list>
        </item>
        <item>
          <list id='1885' struct='atomic'>2020-01-02,27,0,,0,,,,,0,0,0,0,,0,,,0,0,,,,,,,0,,,,0,,0,,,,,,27,,,,,0,,,0,,0,,,0,0,0,,,,0,,,,0,0,,,,0,0,,,0,,,,,,,,,,,0,0,0,0,0,0,0,,0,0,,0,,,,,,0,,,0,,,0,0,0,,0,,,,,0,,0,,,,,,,,0,0,,,0,,,0,0,0,0,,,,,,0,,,0,0,0,,,,0,,,,,0,,,,,0,0,0,,,,0,0,,0,,0,,,,,,,,0,0,0,,,,,,0,,</list>
        </item>
        <item>
          <list id='1886' struct='atomic'>2020-01-03,44,0,,0,,,,,0,0,0,0,,0,,,0,0,,,,,,,0,,,,0,,0,,,,,,44,,,,,0,,,0,,0,,,0,0,0,,,,0,,,,0,0,,,,0,0,,,0,,,,,,,,,,,0,0,0,0,0,0,0,,0,0,,0,,,,,,0,,,0,,,0,0,0,,0,,,,,0,,0,,,,,,,,0,0,,,0,,,0,0,0,0,,,,,,0,,,0,0,0,,,,0,,,,,0,,,,,0,0,0,,,,0,0,,0,,0,,,,,,,,0,0,0,,,,,,0,,</list>
        </item>
        <item>
          <list id='1887' struct='atomic'>2020-01-04,44,0,,0,,,,,0,0,0,0,,0,,,0,0,,,,,,,0,,,,0,,0,,,,,,44,,,,,0,,,0,,0,,,0,0,0,,,,0,,,,0,0,,,,0,0,,,0,,,,,,,,,,,0,0,0,0,0,0,0,,0,0,,0,,,,,,0,,,0,,,0,0,0,,0,,,,,0,,0,,,,,,,,0,0,,,0,,,0,0,0,0,,,,,,0,,,0,0,0,,,,0,,,,,0,,,,,0,0,0,,,,0,0,,0,,0,,,,,,,,0,0,0,,,,,,0,,</list>
        </item>
        <item>
          <list id='1888' struct='atomic'>2020-01-05,59,0,,0,,,,,0,0,0,0,,0,,,0,0,,,,,,,0,,,,0,,0,,,,,,59,,,,,0,,,0,,0,,,0,0,0,,,,0,,,,0,0,,,,0,0,,,0,,,,,,,,,,,0,0,0,0,0,0,0,,0,0,,0,,,,,,0,,,0,,,0,0,0,,0,,,,,0,,0,,,,,,,,0,0,,,0,,,0,0,0,0,,,,,,0,,,0,0,0,,,,0,,,,,0,,,,,0,0,0,,,,0,0,,0,,0,,,,,,,,0,0,0,,,,,,0,,</list>
        </item>
        <item>
          <list id='1889' struct='atomic'>2020-01-06,59,0,,0,,,,,0,0,0,0,,0,,,0,0,,,,,,,0,,,,0,,0,,,,,,59,,,,,0,,,0,,0,,,0,0,0,,,,0,,,,0,0,,,,0,0,,,0,,,,,,,,,,,0,0,0,0,0,0,0,,0,0,,0,,,,,,0,,,0,,,0,0,0,,0,,,,,0,,0,,,,,,,,0,0,,,0,,,0,0,0,0,,,,,,0,,,0,0,0,,,,0,,,,,0,,,,,0,0,0,,,,0,0,,0,,0,,,,,,,,0,0,0,,,,,,0,,</list>
        </item>
        <item>
          <list id='1890' struct='atomic'>2020-01-07,59,0,,0,,,,,0,0,0,0,,0,,,0,0,,,,,,,0,,,,0,,0,,,,,,59,,,,,0,,,0,,0,,,0,0,0,,,,0,,,,0,0,,,,0,0,,,0,,,,,,,,,,,0,0,0,0,0,0,0,,0,0,,0,,,,,,0,,,0,,,0,0,0,,0,,,,,0,,0,,,,,,,,0,0,,,0,,,0,0,0,0,,,,,,0,,,0,0,0,,,,0,,,,,0,,,,,0,0,0,,,,0,0,,0,,0,,,,,,,,0,0,0,,,,,,0,,</list>
        </item>
        <item>
          <list id='1891' struct='atomic'>2020-01-08,59,0,,0,,,,,0,0,0,0,,0,,,0,0,,,,,,,0,,,,0,,0,,,,,,59,,,,,0,,,0,,0,,,0,0,0,,,,0,,,,0,0,,,,0,0,,,0,,,,,,,,,,,0,0,0,0,0,0,0,,0,0,,0,,,,,,0,,,0,,,0,0,0,,0,,,,,0,,0,,,,,,,,0,0,,,0,,,0,0,0,0,,,,,,0,,,0,0,0,,,,0,,,,,0,,,,,0,0,0,,,,0,0,,0,,0,,,,,,,,0,0,0,,,,,,0,,</list>
        </item>
        <item>
          <list id='1892' struct='atomic'>2020-01-09,59,0,,0,,,,,0,0,0,0,,0,,,0,0,,,,,,,0,,,,0,,0,,,,,,59,,,,,0,,,0,,0,,,0,0,0,,,,0,,,,0,0,,,,0,0,,,0,,,,,,,,,,,0,0,0,0,0,0,0,,0,0,,0,,,,,,0,,,0,,,0,0,0,,0,,,,,0,,0,,,,,,,,0,0,,,0,,,0,0,0,0,,,,,,0,,,0,0,0,,,,0,,,,,0,,,,,0,0,0,,,,0,0,,0,,0,,,,,,,,0,0,0,,,,,,0,,</list>
        </item>
        <item>
          <list id='1893' struct='atomic'>2020-01-10,59,0,,0,,,,,0,0,0,0,,0,,,0,0,,,,,,,0,,,,0,,0,,,,,,59,,,,,0,,,0,,0,,,0,0,0,,,,0,,,,0,0,,,,0,0,,,0,,,,,,,,,,,0,0,0,0,0,0,0,,0,0,,0,,,,,,0,,,0,,,0,0,0,,0,,,,,0,,0,,,,,,,,0,0,,,0,,,0,0,0,0,,,,,,0,,,0,0,0,,,,0,,,,,0,,,,,0,0,0,,,,0,0,,0,,0,,,,,,,,0,0,0,,,,,,0,,</list>
        </item>
        <item>
          <list id='1894' struct='atomic'>2020-01-11,59,0,,0,,,,,0,0,0,0,,0,,,0,0,,,,,,,0,,,,0,,0,,,,,,59,,,,,0,,,0,,0,,,0,0,0,,,,0,,,,0,0,,,,0,0,,,0,,,,,,,,,,,0,0,0,0,0,0,0,,0,0,,0,,,,,,0,,,0,,,0,0,0,,0,,,,,0,,0,,,,,,,,0,0,,,0,,,0,0,0,0,,,,,,0,,,0,0,0,,,,0,,,,,0,,,,,0,0,0,,,,0,0,,0,,0,,,,,,,,0,0,0,,,,,,0,,</list>
        </item>
        <item>
          <list id='1895' struct='atomic'>2020-01-12,59,0,,0,,,,,0,0,0,0,,0,,,0,0,,,,,,,0,,,,0,,0,,,,,,59,,,,,0,,,0,,0,,,0,0,0,,,,0,,,,0,0,,,,0,0,,,0,,,,,,,,,,,0,0,0,0,0,0,0,,0,0,,0,,,,,,0,,,0,,,0,0,0,,0,,,,,0,,0,,,,,,,,0,0,,,0,,,0,0,0,0,,,,,,0,,,0,0,0,,,,0,,,,,0,,,,,0,0,0,,,,0,0,,0,,0,,,,,,,,0,0,0,,,,,,0,,</list>
        </item>
        <item>
          <list id='1896' struct='atomic'>2020-01-13,60,0,,0,,,,,0,0,0,0,,0,,,0,0,,,,,,,0,,,,0,,0,,,,,,59,,,,,0,,,0,,0,,,0,0,0,,,,0,,,,0,0,,,,0,0,,,0,,,,,,,,,,,0,0,0,0,0,0,0,,0,0,,0,,,,,,0,,,0,,,0,0,0,,0,,,,,0,,0,,,,,,,,0,0,,,0,,,0,0,0,0,,,,,,0,,,0,0,0,,,,0,,,,,0,,,,,0,0,0,,,,0,0,,0,,1,,,,,,,,0,0,0,,,,,,0,,</list>
        </item>
        <item>
          <list id='1897' struct='atomic'>2020-01-14,60,0,,0,,,,,0,0,0,0,,0,,,0,0,,,,,,,0,,,,0,,0,,,,,,59,,,,,0,,,0,,0,,,0,0,0,,,,0,,,,0,0,,,,0,0,,,0,,,,,,,,,,,0,0,0,0,0,0,0,,0,0,,0,,,,,,0,,,0,,,0,0,0,,0,,,,,0,,0,,,,,,,,0,0,,,0,,,0,0,0,0,,,,,,0,,,0,0,0,,,,0,,,,,0,,,,,0,0,0,,,,0,0,,0,,1,,,,,,,,0,0,0,,,,,,0,,</list>
        </item>
        <item>
          <list id='1898' struct='atomic'>2020-01-15,61,0,,0,,,,,0,0,0,0,,0,,,0,0,,,,,,,0,,,,0,,0,,,,,,59,,,,,0,,,0,,0,,,0,0,0,,,,0,,,,0,0,,,,0,0,,,0,,,,,,,,,,,0,0,0,0,0,0,0,,0,0,,1,,,,,,0,,,0,,,0,0,0,,0,,,,,0,,0,,,,,,,,0,0,,,0,,,0,0,0,0,,,,,,0,,,0,0,0,,,,0,,,,,0,,,,,0,0,0,,,,0,0,,0,,1,,,,,,,,0,0,0,,,,,,0,,</list>
        </item>
        <item>
          <list id='1899' struct='atomic'>2020-01-16,61,0,,0,,,,,0,0,0,0,,0,,,0,0,,,,,,,0,,,,0,,0,,,,,,59,,,,,0,,,0,,0,,,0,0,0,,,,0,,,,0,0,,,,0,0,,,0,,,,,,,,,,,0,0,0,0,0,0,0,,0,0,,1,,,,,,0,,,0,,,0,0,0,,0,,,,,0,,0,,,,,,,,0,0,,,0,,,0,0,0,0,,,,,,0,,,0,0,0,,,,0,,,,,0,,,,,0,0,0,,,,0,0,,0,,1,,,,,,,,0,0,0,,,,,,0,,</list>
        </item>
        <item>
          <list id='1900' struct='atomic'>2020-01-17,66,0,,0,,,,,0,0,0,0,,0,,,0,0,,,,,,,0,,,,0,,0,,,,,,63,,,,,0,,,0,,0,,,0,0,0,,,,0,,,,0,0,,,,0,0,,,0,,,,,,,,,,,0,0,0,0,0,0,0,,0,0,,1,,,,,,0,,,0,,,0,0,0,,0,,,,,0,,0,,,,,,,,0,0,,,0,,,0,0,0,0,,,,,,0,,,0,0,0,,,,0,,,,,0,,,,,0,0,0,,,,0,0,,0,,2,,,,,,,,0,0,0,,,,,,0,,</list>
        </item>
        <item>
          <list id='1901' struct='atomic'>2020-01-18,83,0,,0,,,,,0,0,0,0,,0,,,0,0,,,,,,,0,,,,0,,0,,,,,,80,,,,,0,,,0,,0,,,0,0,0,,,,0,,,,0,0,,,,0,0,,,0,,,,,,,,,,,0,0,0,0,0,0,0,,0,0,,1,,,,,,0,,,0,,,0,0,0,,0,,,,,0,,0,,,,,,,,0,0,,,0,,,0,0,0,0,,,,,,0,,,0,0,0,,,,0,,,,,0,,,,,0,0,0,,,,0,0,,0,,2,,,,,,,,0,0,0,,,,,,0,,</list>
        </item>
        <item>
          <list id='1902' struct='atomic'>2020-01-19,219,0,,0,,,,,0,0,0,0,,0,,,0,0,,,,,,,0,,,,0,,0,,,,,,216,,,,,0,,,0,,0,,,0,0,0,,,,0,,,,0,0,,,,0,0,,,0,,,,,,,,,,,0,0,0,0,0,0,0,,0,0,,1,,,,,,0,,,0,,,0,0,0,,0,,,,,0,,0,,,,,,,,0,0,,,0,,,0,0,0,0,,,,,,0,,,0,0,0,,,,0,,,,,0,,,,,0,0,0,,,,0,0,,0,,2,,,,,,,,0,0,0,,,,,,0,,</list>
        </item>
        <item>
          <list id='1903' struct='atomic'>2020-01-20,239,0,,0,,,,,0,0,0,0,,0,,,0,0,,,,,,,0,,,,0,,0,,,,,,235,,,,,0,,,0,,0,,,0,0,0,,,,0,,,,0,0,,,,0,0,,,0,,,,,,,,,,,0,0,0,0,0,0,0,,0,0,,1,,,,,,0,,,0,,,0,0,0,,0,,,,,0,,0,,,,,,,,0,0,,,0,,,0,0,0,0,,,,,,0,,,0,0,0,,,,0,,,,,0,,,,,1,0,0,,,,0,0,,0,,2,,,,,,,,0,0,0,,,,,,0,,</list>
        </item>
        <item>
          <list id='1904' struct='atomic'>2020-01-21,392,0,,0,,,,,0,0,0,0,,0,,,0,0,,,,,,,0,,,,0,,0,,,,,,386,,,,,0,,,0,,0,,,0,0,0,,,,0,,,,0,0,,,,0,0,,,0,,,,,,,,,,,0,0,0,0,0,0,0,,0,0,,1,,,,,,0,,,0,,,0,0,0,,0,,,,,0,,0,,,,,,,,0,0,,,0,,,0,0,0,0,,,,,,0,,,0,0,0,,,,0,,,,,0,,,,,1,0,0,,,,0,0,,1,,2,,,,,,,,0,0,1,,,,,,0,,</list>
        </item>
        <item>
          <list id='1905' struct='atomic'>2020-01-22,534,0,,0,,,,,0,0,0,0,,0,,,0,0,,,,,,,0,,,,0,,0,,,,,,526,,,,,0,,,0,,0,,,0,0,0,,,,0,,,,0,0,,,,0,0,,,0,,,,,,,,,,,0,0,0,0,0,0,0,,0,0,,1,,,,,,0,,,0,,,0,0,0,,0,,,,,0,,0,,,,,,,,0,0,,,0,,,0,0,0,0,,,,,,0,,,0,0,0,,,,0,,,,,0,,,,,1,0,0,,,,0,0,,1,,4,,,,,,,,0,0,1,,,,,,0,,</list>
        </item>
        <item>
          <list id='1906' struct='atomic'>2020-01-23,631,0,,0,,,,,0,0,0,0,,0,,,0,0,,,,,,,0,,,,0,,0,,,,,,623,,,,,0,,,0,,0,,,0,0,0,,,,0,,,,0,0,,,,0,0,,,0,,,,,,,,,,,0,0,0,0,0,0,0,,0,0,,1,,,,,,0,,,0,,,0,0,0,,0,,,,,0,,0,,,,,,,,0,0,,,0,,,0,0,0,0,,,,,,0,,,0,0,0,,,,0,,,,,0,,,,,1,0,0,,,,0,0,,1,,4,,,,,,,,0,0,1,,,,,,0,,</list>
        </item>
        <item>
          <list id='1907' struct='atomic'>2020-01-24,897,0,,0,,,,,0,0,0,0,,0,,,0,0,,,,,,,0,,,,0,,0,,,,,,882,,,,,0,,,0,,0,,,0,0,0,,,,0,,,,0,0,,,,0,0,,,0,,,,,,,,,,,0,0,0,0,0,0,0,,0,0,,2,,,,,,0,,,0,,,0,0,0,,0,,,,,0,,0,,,,,,,,0,0,,,0,,,0,0,0,0,,,,,,0,,,0,0,0,,,,0,,,,,3,,,,,2,0,0,,,,0,0,,1,,4,,,,,,,,0,0,1,,,,,,2,,</list>
        </item>
        <item>
          <list id='1908' struct='atomic'>2020-01-25,1350,0,,0,,,,,0,1,0,0,,0,,,0,0,,,,,,,0,,,,0,,0,,,,,,1323,,,,,0,,,0,,0,,,0,0,0,,,,0,,,,0,3,,,,0,0,,,0,,,,,,,,,,,0,0,0,0,0,0,0,,0,0,,2,,,,,,0,,,0,,,0,0,0,,3,,,,,0,,0,,,,,,,,1,0,,,0,,,0,0,0,0,,,,,,0,,,0,0,0,,,,0,,,,,3,,,,,2,0,0,,,,0,0,,3,,5,,,,,,,,0,0,2,,,,,,2,,</list>
        </item>
        <item>
          <list id='1909' struct='atomic'>2020-01-26,2023,0,,0,,,,,0,4,0,0,,0,,,0,0,,,,,,,0,,,,0,,1,,,,,,1988,,,,,0,,,0,,0,,,0,0,0,,,,0,,,,0,3,,,,0,0,,,0,,,,,,,,,,,0,0,0,0,0,0,0,,0,0,,3,,,,,,0,,,0,,,0,0,0,,4,,,,,0,,0,,,,,,,,1,0,,,0,,,0,0,0,0,,,,,,0,,,0,0,0,,,,0,,,,,4,,,,,3,0,0,,,,0,0,,3,,5,,,,,,,,0,0,2,,,,,,2,,</list>
        </item>
        <item>
          <list id='1910' struct='atomic'>2020-01-27,2820,0,,0,,,,,0,4,0,0,,0,,,0,0,,,,,,,0,,,,0,,1,,,,,,2775,,,,,0,,,0,,0,,,0,0,0,,,,0,,,,0,3,,,,0,0,,,0,,,,,,,,,,,0,0,0,0,0,0,0,,0,0,,3,,,,,,0,,,0,,,0,0,0,,4,,,,,0,,0,,,,,,,,1,0,,,0,,,0,0,0,0,,,,,,0,,,0,0,0,,,,0,,,,,4,,,,,4,0,0,,,,0,0,,5,,8,,,,,,,,1,0,5,,,,,,2,,</list>
        </item>
        <item>
          <list id='1911' struct='atomic'>2020-01-28,4587,0,,0,,,,,0,4,0,0,,0,,,0,0,,,,,,,0,,,,1,,2,,,,,,4528,,,,,0,,,0,,0,,,0,0,0,,,,0,,,,0,3,,,,0,1,,,0,,,,,,,,,,,0,0,0,0,0,0,0,,0,0,,4,,,,,,0,,,0,,,0,0,0,,4,,,,,0,,0,,,,,,,,1,0,,,0,,,0,0,0,0,,,,,,0,,,0,0,0,,,,0,,,,,5,,,,,4,0,1,,,,0,0,,7,,14,,,,,,,,1,0,5,,,,,,2,,</list>
        </item>
        <item>
          <list id='1912' struct='atomic'>2020-01-29,6067,0,,0,,,,,0,4,0,0,,0,,,0,0,,,,,,,0,,,,1,,3,,,,,,5994,,,,,0,,,0,,0,,,0,0,0,,,,0,,,,0,4,,,,0,4,,,0,,,,,,,,,,,0,0,0,0,0,0,0,,0,0,,7,,,,,,0,,,0,,,0,0,0,,7,,,,,0,,0,,,,,,,,1,0,,,0,,,0,0,0,0,,,,,,0,,,0,0,0,,,,0,,,,,7,,,,,4,0,1,,,,0,0,,8,,14,,,,,,,,1,0,5,,,,,,2,,</list>
        </item>
        <item>
          <list id='1913' struct='atomic'>2020-01-30,7823,0,,0,,,,,0,6,0,0,,0,,,0,0,,,,,,,0,,,,1,,3,,,,,,7734,,,,,0,,,0,,0,,,0,0,0,,,,0,,,,1,5,,,,0,4,,,0,,,,,,,,,,,0,1,0,0,0,0,0,,0,0,,11,,,,,,0,,,0,,,0,0,0,,7,,,,,0,,0,,,,,,,,1,0,,,0,,,0,0,0,0,,,,,,1,,,0,0,0,,,,0,,,,,10,,,,,4,0,1,,,,0,0,,8,,14,,,,,,,,4,0,5,,,,,,2,,</list>
        </item>
        <item>
          <list id='1914' struct='atomic'>2020-01-31,9826,0,,0,,,,,0,7,0,0,,0,,,0,0,,,,,,,0,,,,1,,3,,,,,,9714,,,,,0,,,0,,0,,,0,0,0,,,,0,,,,1,6,,,,0,5,,,0,,,,,,,,,,,0,1,0,0,0,0,0,,0,3,,14,,,,,,0,,,0,,,0,0,0,,8,,,,,0,,0,,,,,,,,1,0,,,0,,,0,0,0,0,,,,,,1,,,0,0,0,,,,0,,,,,13,,,,,7,0,1,,,,0,0,,9,,14,,,,,,,,4,2,6,,,,,,5,,</list>
        </item>
        <item>
          <list id='1915' struct='atomic'>2020-02-01,11946,0,,0,,,,,0,9,0,0,,0,,,0,0,,,,,,,0,,,,1,,4,,,,,,11809,,,,,0,,,0,,0,,,0,0,0,,,,0,,,,1,6,,,,0,7,,,0,,,,,,,,,,,0,1,0,0,0,0,0,,0,3,,15,,,,,,0,,,0,,,0,0,0,,8,,,,,0,,0,,,,,,,,1,0,,,0,,,0,0,0,0,,,,,,1,,,0,0,2,,,,0,,,,,16,,,,,12,1,1,,,,1,0,,10,,19,,,,,,,,4,2,7,,,,,,5,,</list>
        </item>
        <item>
          <list id='1916' struct='atomic'>2020-02-02,14554,0,,0,,,,,0,11,0,0,,0,,,0,0,,,,,,,0,,,,1,,4,,,,,,14399,,,,,0,,,0,,0,,,0,0,0,,,,0,,,,1,6,,,,0,8,,,0,,,,,,,,,,,0,2,0,0,0,0,0,,0,3,,19,,,,,,0,,,0,,,0,0,0,,8,,,,,0,,0,,,,,,,,1,0,,,0,,,0,0,0,0,,,,,,2,,,0,0,2,,,,0,,,,,18,,,,,15,1,1,,,,1,0,,10,,19,,,,,,,,5,2,8,,,,,,7,,</list>
        </item>
        <item>
          <list id='1917' struct='atomic'>2020-02-03,17372,0,,0,,,,,0,11,0,0,,0,,,0,0,,,,,,,0,,,,1,,4,,,,,,17211,,,,,0,,,0,,0,,,0,0,0,,,,0,,,,1,6,,,,0,9,,,0,,,,,,,,,,,0,2,0,0,0,0,0,,0,3,,20,,,,,,0,,,0,,,0,0,0,,8,,,,,0,,0,,,,,,,,1,0,,,0,,,0,0,0,0,,,,,,2,,,0,0,2,,,,0,,,,,18,,,,,15,1,1,,,,1,0,,10,,19,,,,,,,,5,2,11,,,,,,8,,</list>
        </item>
        <item>
          <list id='1918' struct='atomic'>2020-02-04,20615,0,,0,,,,,0,11,0,0,,0,,,0,1,,,,,,,0,,,,1,,4,,,,,,20448,,,,,0,,,0,,0,,,0,0,0,,,,0,,,,1,6,,,,0,11,,,0,,,,,,,,,,,0,3,0,0,0,0,0,,0,3,,20,,,,,,0,,,0,,,0,0,0,,8,,,,,0,,0,,,,,,,,1,0,,,0,,,0,0,0,0,,,,,,2,,,0,0,2,,,,0,,,,,18,,,,,16,1,1,,,,1,0,,10,,19,,,,,,,,5,2,11,,,,,,9,,</list>
        </item>
        <item>
          <list id='1919' struct='atomic'>2020-02-05,24522,0,,0,,,,,0,12,0,0,,0,,,0,1,,,,,,,0,,,,1,,5,,,,,,24320,,,,,0,,,0,,0,,,0,0,0,,,,0,,,,1,6,,,,0,11,,,0,,,,,,,,,,,0,3,0,10,0,0,0,,0,3,,25,,,,,,0,,,0,,,0,0,0,,10,,,,,0,,0,,,,,,,,1,0,,,0,,,0,0,0,0,,,,,,2,,,0,0,2,,,,0,,,,,24,,,,,18,1,1,,,,1,0,,11,,25,,,,,,,,5,2,11,,,,,,10,,</list>
        </item>
        <item>
          <list id='1920' struct='atomic'>2020-02-06,28273,0,,0,,,,,0,13,0,0,,0,,,0,1,,,,,,,0,,,,1,,5,,,,,,28047,,,,,0,,,0,,0,,,0,0,0,,,,0,,,,1,6,,,,0,11,,,0,,,,,,,,,,,0,3,0,20,0,0,0,,0,3,,25,,,,,,0,,,0,,,0,0,0,,12,,,,,0,,0,,,,,,,,1,0,,,0,,,0,0,0,0,,,,,,3,,,0,0,2,,,,0,,,,,28,,,,,23,1,1,,,,1,0,,11,,25,,,,,,,,5,2,12,,,,,,10,,</list>
        </item>
        <item>
          <list id='1921' struct='atomic'>2020-02-07,31491,0,,0,,,,,0,14,0,0,,0,,,0,1,,,,,,,0,,,,1,,7,,,,,,31207,,,,,0,,,0,,0,,,0,0,0,,,,0,,,,1,6,,,,0,12,,,0,,,,,,,,,,,0,3,0,61,0,0,0,,0,3,,25,,,,,,0,,,0,,,0,0,0,,14,,,,,0,,0,,,,,,,,1,0,,,0,,,0,0,0,0,,,,,,3,,,0,0,2,,,,0,,,,,30,,,,,24,1,1,,,,1,0,,16,,25,,,,,,,,5,3,12,,,,,,12,,</list>
        </item>
        <item>
          <list id='1922' struct='atomic'>2020-02-08,34933,0,,0,,,,,0,14,0,0,,0,,,0,1,,,,,,,0,,,,1,,7,,,,,,34625,,,,,0,,,0,,0,,,0,0,0,,,,0,,,,1,11,,,,0,13,,,0,,,,,,,,,,,0,3,0,64,0,0,0,,0,3,,25,,,,,,0,,,0,,,0,0,0,,15,,,,,0,,0,,,,,,,,1,0,,,0,,,0,0,0,0,,,,,,3,,,0,0,2,,,,0,,,,,33,,,,,24,1,1,,,,1,0,,17,,32,,,,,,,,7,3,12,,,,,,13,,</list>
        </item>
        <item>
          <list id='1923' struct='atomic'>2020-02-09,37552,0,,0,,,,,0,14,0,0,,0,,,0,1,,,,,,,0,,,,1,,7,,,,,,37232,,,,,0,,,0,,0,,,0,0,0,,,,0,,,,1,11,,,,0,13,,,0,,,,,,,,,,,0,3,0,64,0,0,0,,0,3,,25,,,,,,0,,,0,,,0,0,0,,16,,,,,0,,0,,,,,,,,1,0,,,0,,,0,0,0,0,,,,,,3,,,0,0,2,,,,0,,,,,40,,,,,25,1,1,,,,1,0,,18,,32,,,,,,,,7,4,12,,,,,,14,,</list>
        </item>
        <item>
          <list id='1924' struct='atomic'>2020-02-10,40540,0,,0,,,,,0,14,0,0,,0,,,0,1,,,,,,,0,,,,1,,7,,,,,,40206,,,,,0,,,0,,0,,,0,0,0,,,,0,,,,1,11,,,,0,13,,,0,,,,,,,,,,,0,3,0,70,0,0,0,,0,3,,25,,,,,,0,,,0,,,0,0,0,,18,,,,,0,,0,,,,,,,,1,0,,,0,,,0,0,0,0,,,,,,3,,,0,0,2,,,,0,,,,,43,,,,,27,2,1,,,,1,0,,18,,32,,,,,,,,7,4,12,,,,,,14,,</list>
        </item>
        <item>
          <list id='1925' struct='atomic'>2020-02-11,43105,0,,0,,,,,0,14,0,0,,0,,,0,1,,,,,,,0,,,,1,,7,,,,,,42696,,,,,0,,,0,,0,,,0,0,0,,,,0,,,,1,11,,,,0,13,,,0,,,,,,,,,,,0,3,0,135,0,0,0,,0,3,,25,,,,,,0,,,0,,,0,0,0,,18,,,,,0,,0,,,,,,,,1,0,,,0,,,0,0,0,0,,,,,,3,,,0,0,2,,,,0,,,,,45,,,,,28,2,1,,,,1,0,,18,,32,,,,,,,,8,8,13,,,,,,15,,</list>
        </item>
        <item>
          <list id='1926' struct='atomic'>2020-02-12,45177,0,,0,,,,,0,14,0,0,,0,,,0,1,,,,,,,0,,,,1,,7,,,,,,44724,,,,,0,,,0,,0,,,0,0,0,,,,0,,,,1,11,,,,0,15,,,0,,,,,,,,,,,0,3,0,174,0,0,0,,0,3,,25,,,,,,0,,,0,,,0,0,0,,18,,,,,0,,0,,,,,,,,1,0,,,0,,,0,0,0,0,,,,,,3,,,0,0,2,,,,0,,,,,47,,,,,28,2,1,,,,1,0,,18,,33,,,,,,,,8,8,13,,,,,,15,,</list>
        </item>
        <item>
          <list id='1927' struct='atomic'>2020-02-13,60328,0,,0,,,,,0,14,0,0,,0,,,0,1,,,,,,,0,,,,1,,7,,,,,,59865,,,,,0,,,0,,0,,,0,0,0,,,,0,,,,1,11,,,,0,15,,,0,,,,,,,,,,,0,3,0,174,0,0,0,,0,3,,29,,,,,,0,,,0,,,0,0,0,,18,,,,,0,,0,,,,,,,,1,0,,,0,,,0,0,0,0,,,,,,3,,,0,0,2,,,,0,,,,,50,,,,,28,2,1,,,,1,0,,18,,33,,,,,,,,8,9,14,,,,,,16,,</list>
        </item>
        <item>
          <list id='1928' struct='atomic'>2020-02-14,64543,0,,0,,,,,0,15,0,0,,0,,,0,1,,,,,,,0,,,,1,,7,,,,,,64021,,,,,0,,,0,,0,,,0,0,0,,,,0,,,,1,11,,,,0,15,,,0,,,,,,,,,,,0,3,0,221,0,0,0,,0,3,,30,,,,,,0,,,0,,,0,0,0,,19,,,,,0,,0,,,,,,,,1,0,,,0,,,0,0,0,0,,,,,,3,,,0,0,2,,,,0,,,,,58,,,,,28,2,1,,,,1,0,,18,,33,,,,,,,,8,9,15,,,,,,16,,</list>
        </item>
        <item>
          <list id='1929' struct='atomic'>2020-02-15,67103,0,,0,,,,,0,15,0,0,,0,,,0,1,,,,,,,0,,,,1,,8,,,,,,66559,,,,,0,,,0,,0,,,0,0,1,,,,0,,,,1,11,,,,0,15,,,0,,,,,,,,,,,0,3,0,221,0,0,0,,0,3,,38,,,,,,0,,,0,,,0,0,0,,21,,,,,0,,0,,,,,,,,1,0,,,0,,,0,0,0,0,,,,,,3,,,0,0,2,,,,0,,,,,67,,,,,28,2,1,,,,1,0,,18,,34,,,,,,,,8,9,15,,,,,,16,,</list>
        </item>
        <item>
          <list id='1930' struct='atomic'>2020-02-16,69265,0,,0,,,,,0,15,0,0,,0,,,0,1,,,,,,,0,,,,1,,8,,,,,,68566,,,,,0,,,0,,0,,,0,0,1,,,,0,,,,1,11,,,,0,15,,,0,,,,,,,,,,,0,3,0,355,0,0,0,,0,3,,52,,,,,,0,,,0,,,0,0,0,,22,,,,,0,,0,,,,,,,,1,0,,,0,,,0,0,0,0,,,,,,3,,,0,0,2,,,,0,,,,,72,,,,,29,2,1,,,,1,0,,18,,34,,,,,,,,8,9,15,,,,,,16,,</list>
        </item>
        <item>
          <list id='1931' struct='atomic'>2020-02-17,71332,0,,0,,,,,0,15,0,0,,0,,,0,1,,,,,,,0,,,,1,,8,,,,,,70618,,,,,0,,,0,,0,,,0,0,1,,,,0,,,,1,12,,,,0,15,,,0,,,,,,,,,,,0,3,0,355,0,0,0,,0,3,,59,,,,,,0,,,0,,,0,0,0,,22,,,,,0,,0,,,,,,,,1,0,,,0,,,0,0,0,0,,,,,,3,,,0,0,2,,,,0,,,,,75,,,,,30,2,1,,,,1,0,,20,,34,,,,,,,,9,9,15,,,,,,16,,</list>
        </item>
        <item>
          <list id='1932' struct='atomic'>2020-02-18,73327,0,,0,,,,,0,15,0,0,,0,,,0,1,,,,,,,0,,,,1,,8,,,,,,72508,,,,,0,,,0,,0,,,0,0,1,,,,0,,,,1,12,,,,0,15,,,0,,,,,,,,,,,0,3,0,454,0,0,0,,0,3,,59,,,,,,0,,,0,,,0,0,0,,22,,,,,0,,0,,,,,,,,1,0,,,0,,,0,0,0,0,,,,,,3,,,0,0,2,,,,0,,,,,77,,,,,31,2,1,,,,1,0,,22,,35,,,,,,,,9,9,15,,,,,,16,,</list>
        </item>
        <item>
          <list id='1933' struct='atomic'>2020-02-19,75191,0,,0,,,,,0,15,0,0,,0,,,0,1,,,,,,,0,,,,1,,8,,,,,,74258,,,,,0,,,0,,0,,,0,0,1,,,,0,,,,1,12,,,,0,15,,,0,,,,,,,,,,,0,3,0,542,0,0,0,,0,3,,66,,,,,,0,,,0,,,0,0,0,,22,,,,,0,,0,,,,,,,,1,0,,,0,,,0,0,0,0,,,,,,3,,,0,0,2,,,,0,,,,,81,,,,,46,2,1,,,,1,0,,22,,35,,,,,,,,9,9,15,,,,,,16,,</list>
        </item>
        <item>
          <list id='1934' struct='atomic'>2020-02-20,75723,0,,0,,,,,0,15,0,0,,0,,,0,1,,,,,,,0,,,,1,,8,,,,,,74652,,,,,0,,,0,,0,,,0,0,1,,,,0,,,,1,12,,,,0,15,,,0,,,,,,,,,,,0,3,0,621,2,0,0,,0,3,,84,,,,,,0,,,0,,,0,0,0,,22,,,,,0,,0,,,,,,,,1,0,,,0,,,0,0,0,0,,,,,,3,,,0,0,2,,,,0,,,,,84,,,,,80,2,1,,,,1,0,,24,,35,,,,,,,,9,9,15,,,,,,16,,</list>
        </item>
        <item>
          <list id='1935' struct='atomic'>2020-02-21,76719,0,,0,,,,,0,17,0,0,,0,,,0,1,,,,,,,0,,,,1,,9,,,,,,75543,,,,,0,,,0,,0,,,0,0,1,,,,0,,,,1,12,,,,0,15,,,0,,,,,,,,,,,0,3,0,634,5,0,0,,0,3,,93,,,,,,0,,,0,,,0,0,0,,22,,,,,0,,0,,,,,,,,1,0,,,0,,,0,0,0,0,,,,,,3,,,0,0,2,,,,0,,,,,85,,,,,155,2,1,,,,1,0,,24,,35,,,,,,,,9,9,16,,,,,,16,,</list>
        </item>
        <item>
          <list id='1936' struct='atomic'>2020-02-22,77804,0,,0,,,,,0,21,0,0,,0,,,0,1,,,,,,,0,,,,1,,9,,,,,,76369,,,,,0,,,0,,0,,,0,0,1,,,,0,,,,1,12,,,,0,15,,,0,,,,,,,,,,,0,3,0,634,18,0,0,,1,17,,105,,,,,,0,,,1,,,0,0,0,,22,,,,,0,,0,,,,,,,,1,0,,,0,,,0,0,0,0,,,,,,3,,,0,0,2,,,,0,,,,,86,,,,,345,2,1,,,,1,0,,26,,35,,,,,,,,11,9,35,,,,,,16,,</list>
        </item>
        <item>
          <list id='1937' struct='atomic'>2020-02-23,78812,0,,0,,,,,0,22,0,0,,0,,,0,1,,,,,,,0,,,,1,,9,,,,,,77016,,,,,0,,,0,,0,,,0,0,1,,,,0,,,,1,12,,,,0,15,,,0,,,,,,,,,,,0,3,0,634,28,0,0,,1,79,,132,,,,,,0,,,1,,,0,0,0,,22,,,,,0,,0,,,,,,,,1,0,,,0,,,0,0,0,0,,,,,,3,,,0,0,2,,,,0,,,,,89,,,,,601,2,1,,,,1,0,,26,,35,,,,,,,,13,9,35,,,,,,16,,</list>
        </item>
        <item>
          <list id='1938' struct='atomic'>2020-02-24,79339,0,,0,,,,,0,22,0,0,,1,,,0,1,,,,,,,0,,,,1,,9,,,,,,77234,,,,,0,,,0,,0,,,0,0,1,,,,0,,,,1,12,,,,0,15,,,0,,,,,,,,,,,0,3,0,691,43,0,0,,2,132,,144,,,,,,3,,,1,,,0,0,0,,22,,,,,0,,0,,,,,,,,1,0,,,0,,,0,0,0,0,,,,,,3,,,0,0,2,,,,0,,,,,89,,,,,762,2,1,,,,1,0,,28,,35,,,,,,,,13,13,35,,,,,,16,,</list>
        </item>
        <item>
          <list id='1939' struct='atomic'>2020-02-25,80132,1,,0,,,,,0,22,0,0,,2,,,0,1,,,,,,,0,,,,1,,11,,,,,,77749,,,,,0,,,0,,0,,,0,0,1,,,,0,,,,1,12,,,,0,15,,,0,,,,,,,,,,,0,3,0,691,61,1,0,,2,229,,144,,,,,,5,,,1,,,0,0,0,,22,,,,,0,,0,,,,,,,,1,0,,,0,,,0,0,2,0,,,,,,3,,,0,0,2,,,,0,,,,,90,,,,,892,3,1,,,,1,0,,30,,37,,,,,,,,13,13,53,,,,,,16,,</list>
        </item>
        <item>
          <list id='1940' struct='atomic'>2020-02-26,80995,1,,1,,,,,0,22,2,0,,23,,,0,1,,,,,,,1,,,,1,,11,,,,,,78159,,,,,1,,,0,,0,,,0,0,1,,,,0,,,,1,14,,,,0,17,,,0,,,,,,,,,,,0,3,0,691,95,5,0,,2,322,,164,,,,,,11,,,1,,,0,0,0,,22,,,,,0,,0,,,,,,,,1,0,,,0,,,0,0,4,0,,,,,,3,,,0,0,2,,,,0,,,,,91,,,,,1146,7,1,,,,1,1,,31,,40,,,,,,,,13,13,53,,,,,,16,,</list>
        </item>
        <item>
          <list id='1941' struct='atomic'>2020-02-27,82101,1,,1,,,,,0,23,2,0,,33,,,0,1,,,,,,,1,,,,1,,12,,,,,,78598,,,,,2,,,0,,1,,,0,0,1,,,,0,,,,2,17,,,,1,21,,,1,,,,,,,,,,,0,3,0,705,139,5,0,,2,400,,186,,,,,,26,,,2,,,0,0,1,,22,,,,,0,,0,,,,,,,,1,0,,,0,,,0,1,4,2,,,,,,3,,,0,1,2,,,,0,,,,,93,,,,,1595,12,1,,,,2,1,,32,,40,,,,,,,,13,13,59,,,,,,16,,</list>
        </item>
        <item>
          <list id='1942' struct='atomic'>2020-02-28,83365,1,,1,,,,,0,23,5,0,,33,,,1,1,,,,,,,1,,,,1,,14,,,,,,78927,,,,,3,,,0,,1,,,0,0,1,,,,1,,,,2,38,,,,1,47,,,3,,,,,,,,,,,0,3,0,705,245,6,0,,3,650,,210,,,,,,43,,,3,,,1,0,1,,23,,,,,0,,0,,,,,,,,1,1,,,1,,,1,4,6,2,,,,,,3,,,0,1,2,,,,1,,,,,96,,,,,2022,25,1,,,,7,8,,34,,40,,,,,,,,19,16,60,,,,,,16,,</list>
        </item>
        <item>
          <list id='1943' struct='atomic'>2020-02-29,85203,1,,1,,,,,0,25,7,1,,38,,,1,1,,,,,,,1,,,,1,,16,,,,,,79355,,,,,5,,,0,,2,,,0,0,1,,,,1,,,,3,57,,,,2,57,,,4,,,,,,,,,,,1,3,0,705,388,7,0,,7,888,,230,,,,,,45,,,3,,,1,0,1,,25,,,,,2,,1,,,,,,,,1,2,,,1,,,1,6,6,2,,,,,,3,,,0,3,2,,,,1,,,,,98,,,,,2931,34,1,,,,12,12,,39,,42,,,,,,,,19,18,66,,,,,,16,,</list>
        </item>
        <item>
          <list id='1944' struct='atomic'>2020-03-01,87024,1,,1,,,,,1,26,10,1,,41,,,1,1,,,,,,,2,,,,1,,20,,,,,,79929,,,,,5,,,0,,3,,,0,1,1,,,,1,,,,3,100,,,,3,111,,,7,,,,,,,,,,,1,3,0,705,593,13,1,,7,1128,,239,,,,,,45,,,4,,,1,1,1,,25,,,,,4,,1,,,,,,,,1,7,,,1,,,1,15,6,4,,,,,,3,,,1,3,2,,,,1,,,,,102,,,,,3526,66,1,,,,13,18,,40,,42,,,,,,,,21,23,69,,,,,,16,,</list>
        </item>
        <item>
          <list id='1945' struct='atomic'>2020-03-02,89068,1,,3,,,,,1,29,14,3,,47,,,1,2,,,,,,,2,,,,1,,24,,,,,,80134,,,,,7,,,3,,4,,,1,6,2,,,,1,,,,6,130,,,,3,129,,,7,,,,,,,,,,,3,3,2,705,978,19,1,,10,1689,,254,,,,,,46,,,10,,,1,1,1,,29,,,,,5,,1,,,,,,,,1,13,,,1,,,1,19,6,4,,,,,,3,,,3,3,2,,,,8,,,,,106,,,,,4212,83,1,,,,14,24,,40,,43,,,,,,,,21,36,89,,,,,,16,,</list>
        </item>
        <item>
          <list id='1946' struct='atomic'>2020-03-03,90663,,,,1,,,,,33,18,,,,,,,8,,,,,,,,,,,,,27,,,,,,80261,,,,,8,,,5,,5,,,,7,,,,,,,,,,178,,,,,157,,,,,,,,,,,,,,6,5,,,1501,21,,,,1835,,254,,1,,,,56,,1,13,,,,,,,,,,,,,,,,,,1,,,,,18,,,,,,,25,7,,,,,,,,,2,,,3,,,,,1,1,,,108,,,,,4812,114,,,,,15,30,,41,,,,,,1,,,,,40,103,,,,,,,,</list>
        </item>
        <item>
          <list id='1947' struct='atomic'>2020-03-04,93076,,,5,,,,1,,41,24,,,49,,,4,13,,,,,,,,,,,,,30,,,,,1,80380,,,,,9,,,5,,8,,,,,,,,,2,,,,7,212,,,,,196,,,,,,,,,,,,,,16,6,,,2336,26,2,,,2502,,268,,,,,,,,,,,,,,,,36,,,,,,,,,,,,,,,,28,,,2,,,,33,,5,,,,,,,1,4,8,4,4,,,,10,,,,,110,,,,,5328,151,,,,,24,37,,42,,,,,,,,,1,27,51,125,,,,,,,,</list>
        </item>
        <item>
          <list id='1948' struct='atomic'>2020-03-05,95315,,,12,,,,,,52,29,,,52,,,6,23,,,,,,,3,,,,,,33,,,,,3,80497,,,,,,,,8,,10,,,,10,,,,,,,,,,285,,,,3,262,,,10,,,,,,,,,,2,26,28,,,2922,31,6,,15,3089,,317,,,,,,,,,,,1,,,,,50,,,,,,,,,,,,,,,,38,,,3,,,,56,15,,,,,,,,,5,,,,,,,15,,3,,,112,,1,,,5766,200,,,,,35,57,,,,47,,,,,,,,,85,159,,,,,,,,</list>
        </item>
        <item>
          <list id='1949' struct='atomic'>2020-03-06,98171,,,17,,,,2,,59,41,6,,52,,,,50,,,,1,,2,8,,,,,,45,,,,,4,80667,,,,,10,,,12,,20,,,,13,3,,,,5,,,,12,423,,,,9,400,,,32,,,,,,,,,,,35,29,,,3513,38,13,,17,3858,,349,,,,,,58,,,16,,,,,,,50,,,,,,,,,,,2,,,,,82,,,4,,,,86,16,,7,,,,,,,9,,6,,,,,22,5,4,,,117,,6,,1,6284,261,,,,,61,87,,44,,,,,,,,,,29,115,233,,,,,,,,</list>
        </item>
        <item>
          <list id='1950' struct='atomic'>2020-03-07,102132,,,,,,,8,,63,74,9,,56,,,,109,,,,,,,13,,,,,1,51,,,,,5,80768,1,,1,,11,,,19,,23,,,2,,15,,,,10,,,,19,613,,,,,684,,,45,,,,,,,,,,4,43,31,4,,4747,,18,,19,4636,,408,,,,,,,,,22,,,,3,3,,83,,,,,,,,,,,,,,,,128,,,5,,,,113,,6,16,,,,1,5,5,13,11,7,10,,,,23,,,1,,130,1,9,,,6767,374,,,,,137,209,,45,,50,,1,,,,,,,163,338,,,,1,,17,,</list>
        </item>
        <item>
          <list id='1951' struct='atomic'>2020-03-08,105823,4,,,,,,9,,74,99,,,63,,,,169,,,,,,,13,,2,,2,,57,,,,,,80814,,,,,12,,,26,,31,,,,,,,,,,,,,,716,,,,12,847,,,66,,,,,,,,,,7,53,34,,,5823,54,19,,25,5883,,455,,1,,,,61,,2,,,,,,,,93,2,3,,,,1,,,,,,,,,,188,,,,,,,147,,,19,,,1,,6,6,21,12,13,,,,,26,7,,,,138,3,12,,2,7134,430,,,,,161,264,,45,,,,,,,,,,45,206,433,,,,,,21,,</list>
        </item>
        <item>
          <list id='1952' struct='atomic'>2020-03-09,109694,,2,20,,,,12,,80,102,,,79,3,,,200,,,,,,,25,,4,,,2,62,,,,,10,80859,,,5,,,,,32,,38,,,,14,49,,,,,,,,30,1126,,,,13,902,,,73,,,,,,,,,,8,55,,6,,6566,61,21,,39,7375,,488,,,,,,64,,3,32,,,,5,,,99,4,,,,7,,,,,,,,,,,265,,,,,,,169,,,,,,,7,10,11,30,15,15,,,,,37,11,,,,150,5,16,,3,7382,589,,,,,203,332,,45,,,,,,,,,,,273,554,,,,,,30,,</list>
        </item>
        <item>
          <list id='1953' struct='atomic'>2020-03-10,114231,,6,,,,,,,100,131,,,109,,,,239,,,,,,,,1,,,,,77,,,,,13,80879,3,,9,,,,2,40,,113,,,5,15,55,,,,,,,,40,1412,,,,15,1139,,,84,,,,,,,,,,9,65,44,,696,7161,,,,,9172,,514,,,,,,65,,6,41,,,,,,,117,,4,,,,,,1,,,,,,,,321,,,,,,2,192,18,16,20,1,,,9,33,17,39,18,17,10,,,,49,15,,,,160,,,,7,7513,1204,,,,,248,374,,,,,,,,2,,,,59,321,754,,,,,,31,,</list>
        </item>
        <item>
          <list id='1954' struct='atomic'>2020-03-11,118609,7,10,,,,,19,,112,182,11,,110,,,9,267,,,,,,,34,,,2,,,93,,,,,17,80908,,,13,,13,,,63,1,264,,,,17,59,,,,13,,,,,1784,,,,23,1296,,,90,,,,,,,,,,12,70,50,19,,8042,61,35,,70,10149,,568,,,,,,69,,8,41,,,3,7,7,,129,6,,,,,3,,,,,,,,,,382,,,,,,,277,18,16,29,7,,5,11,33,22,41,24,25,,,,,62,20,,5,,166,7,31,,,7755,1639,,,,,326,490,,48,,59,,,,5,,,,74,373,1025,,,,,,35,,</list>
        </item>
        <item>
          <list id='1955' struct='atomic'>2020-03-12,125496,,11,20,,,,,4,126,246,13,,162,,,12,314,,,,,2,3,52,11,7,2,3,,103,,,,,23,80932,9,,22,1,16,3,6,94,,516,,,,,60,,,,16,,,,59,2281,,,,24,1567,,,99,,,,,,,,,2,13,85,73,34,,9000,70,43,,82,12462,2,619,,,,,,72,,10,61,,3,3,7,,,149,8,6,,,11,4,,,,,5,,,,,503,,,,,,,489,,20,30,14,,,17,49,31,59,262,45,25,,,,66,45,,18,,178,10,57,,13,7869,2140,2,,,,462,642,,48,,70,,,,7,1,,,,456,1312,,,,,,39,,</list>
        </item>
        <item>
          <list id='1956' struct='atomic'>2020-03-13,133848,,23,24,,,,31,6,156,361,13,,162,,,21,399,,,,1,3,3,77,25,23,,5,,138,,,,,33,80954,,,23,,25,,,116,,676,,,,,80,,,,27,,,,155,2876,,1,,25,2369,2,,133,,,,,,,1,,,16,117,75,,,10075,74,70,,96,15113,6,675,,,,,,80,,16,66,,4,,26,9,,158,,9,,,16,6,,,,,6,,,,,614,,,,,,,621,,21,,27,,6,22,52,49,78,,64,30,,,1,67,62,6,24,,187,21,96,,17,7979,3004,3,,,,620,854,,49,,,,,1,13,2,,3,85,590,1663,,,,,,44,,</list>
        </item>
        <item>
          <list id='1957' struct='atomic'>2020-03-14,143223,,33,26,2,,,34,13,197,504,,,210,,,,559,,,,,10,,98,37,31,,,,176,,,,,43,80973,16,,26,,31,4,14,150,2,804,,,11,23,93,,,,79,1,,,,3661,,,,30,3062,,,190,,,,,,1,,,3,25,117,83,69,,11364,85,91,,116,17660,8,737,,,,1,,100,,19,,,4,6,38,13,,197,9,12,,,26,8,,,,,7,,,,,804,,,6,,,,621,20,21,35,36,,7,38,64,68,112,320,89,45,,,,73,86,19,41,,200,30,141,,24,8086,4231,6,1,,,775,1121,,53,,82,,,2,16,,,,,707,2174,,,,,,49,,</list>
        </item>
        <item>
          <list id='1958' struct='atomic'>2020-03-15,151363,10,38,37,,,1,45,20,249,655,19,,211,3,,,689,,,,1,10,,121,40,41,3,7,3,244,,,,,61,80995,34,,27,4,37,4,21,214,2,827,,,11,28,93,,1,,115,1,,,210,4499,,1,,30,3795,2,,228,,,,1,,1,,,,31,138,90,96,,12729,85,129,,178,17750,,780,,1,6,1,,104,,26,93,,4,9,,,,238,9,18,1,,41,20,3,1,,,18,,,2,1,959,,,8,,,2,907,20,30,38,43,,,43,111,104,169,337,113,59,1,2,,92,86,21,46,2,214,44,181,,24,8162,5753,11,1,1,1,924,1359,,59,,82,,1,2,16,,,,85,1140,2951,,6,,,10,53,,</list>
        </item>
        <item>
          <list id='1959' struct='atomic'>2020-03-16,167414,16,42,48,5,,,56,30,298,860,19,1,214,,,27,886,,,,,,18,200,50,51,3,12,4,304,,,1,,75,81020,45,1,35,4,48,,30,298,2,875,,,11,37,110,,1,,171,4,,,267,5423,,1,,30,4838,2,,331,,,,1,,,4,,6,39,178,93,117,,13938,124,169,,250,23980,10,814,,15,9,3,2,112,,31,99,,7,14,77,13,,428,13,21,1,,53,23,7,,,,28,,,2,,1135,,,,,,2,1077,22,31,38,43,,8,71,140,125,245,401,139,63,5,2,,98,118,26,55,3,226,61,219,,51,8236,7753,19,1,,1,1032,2200,,59,,114,,1,4,18,18,,3,86,1391,3774,,8,6,1,15,57,,</list>
        </item>
        <item>
          <list id='1960' struct='atomic'>2020-03-17,180159,21,51,60,14,,,65,52,375,1016,19,1,221,5,,36,1085,,1,,1,11,21,234,54,62,20,24,4,424,,,1,,156,81130,57,1,41,5,56,,40,344,3,932,,,11,58,126,,1,,205,5,,,272,6633,,1,,33,6012,6,,352,,,,6,,1,4,,8,50,199,125,134,,14991,124,223,,260,27980,10,824,,16,11,3,2,123,,36,120,1,7,17,81,19,,553,13,30,1,,82,29,9,,,,37,,0,2,1,1413,,,,,,2,1169,24,187,39,69,,9,86,142,177,331,439,184,93,5,2,,102,133,27,57,4,243,84,253,1,62,8320,9191,29,1,,1,1121,2200,,67,1,177,,1,5,20,47,,5,98,1543,4661,,29,8,1,33,61,,</list>
        </item>
        <item>
          <list id='1961' struct='atomic'>2020-03-18,194909,22,55,60,14,,,79,78,454,1332,28,,237,8,1,36,1243,,1,,1,12,21,291,56,81,20,24,10,569,,,1,,201,81163,65,1,50,5,69,7,40,434,3,1024,,,11,111,166,,1,,225,5,,,319,7730,,1,1,34,7156,6,,387,,,,6,,1,4,,9,50,247,137,172,,16169,154,292,,427,31506,13,829,,35,33,4,19,130,,61,120,2,7,25,140,31,,673,13,38,1,,93,30,9,4,2,,44,,,2,1,1705,,,20,,,3,1308,24,187,41,86,,11,117,187,238,448,442,217,114,7,2,,104,133,31,72,4,266,97,275,1,85,8413,11178,42,1,,1,1167,2650,,77,1,177,,1,7,24,98,,14,113,1950,6427,,50,16,1,33,61,,</list>
        </item>
        <item>
          <list id='1962' struct='atomic'>2020-03-19,213254,22,59,73,53,,,97,115,565,1646,34,,256,10,1,46,1486,,1,,1,12,36,428,68,92,26,24,10,690,,,1,,238,81238,102,3,69,6,81,11,58,522,14,1115,1,,21,168,196,1,3,,258,6,,,369,9134,3,3,1,34,8198,7,,418,,,3,8,,1,5,,12,73,250,165,172,,17361,164,366,,433,35713,15,873,,52,37,7,19,142,3,71,133,2,25,33,210,42,,790,13,48,1,,118,36,9,5,8,,54,,,2,1,2051,,,28,1,,8,1423,39,302,44,109,,11,145,202,287,642,452,260,147,11,2,,109,171,36,94,6,313,107,286,1,116,8565,13716,42,2,,1,1301,3010,,108,3,177,,1,9,29,191,,19,113,2630,9415,,79,23,1,33,76,2,</list>
        </item>
        <item>
          <list id='1963' struct='atomic'>2020-03-20,242473,22,70,82,75,,,128,122,709,2196,44,3,269,10,2,57,1795,,2,2,1,15,44,621,73,105,33,24,14,846,,1,1,1,342,81337,128,3,87,9,104,16,58,694,14,1151,1,,21,199,210,1,4,,267,7,72,1,400,10995,3,3,1,40,14138,11,10,464,2,,12,9,1,1,5,2,24,85,330,191,227,,18407,177,557,,677,41035,16,950,5,56,49,7,21,148,6,86,149,2,25,48,345,48,,900,13,53,2,3,164,49,11,5,13,,63,,,2,1,2460,9,,39,1,,8,1552,39,478,47,137,,13,234,230,355,785,460,277,199,11,2,,126,238,36,126,6,345,123,319,1,150,8652,17147,53,2,,1,1423,3888,,108,3,212,,1,9,39,359,,26,140,3277,14250,,94,23,1,33,85,2,</list>
        </item>
        <item>
          <list id='1964' struct='atomic'>2020-03-21,271228,24,70,94,75,,1,158,136,874,2649,44,4,285,17,6,57,2257,,2,2,2,19,44,904,78,127,40,47,27,971,2,3,1,1,434,81416,158,3,113,14,126,21,67,904,14,1255,1,,34,426,256,3,4,,283,9,80,1,450,12612,15,3,1,43,18187,16,10,495,2,,14,13,1,2,5,2,24,85,409,231,309,,19644,193,683,1,712,47021,19,1007,12,69,53,7,24,159,6,111,163,2,34,69,484,70,3,1030,13,64,2,12,203,66,12,6,14,1,86,,,3,1,2994,13,2,53,1,1,12,1742,48,495,48,200,1,18,263,230,425,1020,470,308,253,17,2,,151,274,47,135,7,385,137,341,1,205,8799,19980,66,2,1,1,1623,4840,,135,3,366,,9,9,54,670,,26,140,3983,19624,,110,33,1,36,87,2,1</list>
        </item>
        <item>
          <list id='1965' struct='atomic'>2020-03-22,305275,24,76,94,88,2,1,225,160,1098,3024,53,4,306,24,14,76,2815,,2,2,2,20,92,1128,83,163,64,51,27,1231,3,3,3,2,537,81499,210,4,117,17,206,25,84,995,23,1326,1,,112,532,285,3,6,1,306,9,92,2,521,14459,17,3,1,49,21463,21,10,530,2,,15,17,1,2,5,2,26,131,473,320,450,,20610,214,785,2,883,53578,19,1046,12,84,56,7,24,176,14,124,230,3,36,105,670,85,3,1183,13,73,2,14,251,80,18,10,14,1,96,,,3,1,3631,13,4,66,1,1,22,1926,52,646,52,245,1,22,318,380,536,1280,481,367,306,17,2,,151,392,56,149,7,432,178,383,1,240,8897,24926,78,2,5,1,1746,6077,,153,6,599,1,15,49,60,947,1,41,153,5018,26747,,135,33,1,36,94,2,2</list>
        </item>
        <item>
          <list id='1966' struct='atomic'>2020-03-23,338303,34,89,102,113,2,1,266,190,1709,3631,65,4,334,27,17,76,3401,,2,6,2,27,125,1546,88,185,64,86,27,1430,3,3,4,2,632,81649,235,4,134,25,235,35,95,1165,26,1395,1,1,202,789,294,3,6,1,326,11,115,3,626,16018,18,6,1,54,24774,24,15,624,2,1,27,19,17,2,5,2,27,167,568,439,514,,21638,233,906,2,1071,59138,19,1089,15,99,60,15,31,188,14,139,248,3,46,143,798,114,3,1306,13,90,2,28,316,94,23,10,21,1,115,1,,3,1,4204,13,5,102,2,1,30,2132,55,784,59,313,1,22,363,380,634,1600,494,433,438,19,2,,151,511,67,188,7,455,185,414,1,274,8961,28572,87,2,5,4,1906,6971,1,165,12,721,1,15,50,75,1236,1,47,153,5683,35206,,158,46,1,36,118,3,2</list>
        </item>
        <item>
          <list id='1967' struct='atomic'>2020-03-24,378041,40,100,189,133,2,1,301,194,1823,4486,72,4,339,33,17,81,3743,1,5,6,2,28,129,1891,91,201,75,87,56,1646,3,3,4,2,746,81748,235,4,158,25,306,40,116,1236,26,1460,3,1,245,981,327,5,9,1,352,11,118,4,700,19856,23,6,2,61,29212,27,15,695,4,1,29,20,20,2,6,5,30,187,588,492,579,,23049,266,1125,13,1442,63927,19,1128,18,112,62,16,61,189,16,180,267,3,46,179,875,136,17,1518,13,107,2,36,367,109,23,10,27,1,134,1,2,3,2,4749,17,7,142,2,2,40,2371,66,887,59,345,1,27,395,462,749,2060,501,576,438,36,2,,187,562,79,222,7,509,191,442,1,402,9037,33089,97,2,6,4,2016,8015,1,195,12,827,1,18,51,89,1529,9,73,198,6650,46442,17,162,49,1,84,123,3,2</list>
        </item>
      </list>
    </variable>
    <variable name='start dates per country'>
      <list id='1968'>
        <item>
          <list id='1969'>
            <item>
              <l>China</l>
            </item>
            <item>
              <l>2019-12-31</l>
            </item>
            <item>
              <list id='1970' struct='atomic'>104.999927,35.000074</list>
            </item>
          </list>
        </item>
        <item>
          <list id='1971'>
            <item>
              <l>Thailand</l>
            </item>
            <item>
              <l>2020-01-13</l>
            </item>
            <item>
              <list id='1972' struct='atomic'>100.83273,14.8971921</list>
            </item>
          </list>
        </item>
        <item>
          <list id='1973'>
            <item>
              <l>Japan</l>
            </item>
            <item>
              <l>2020-01-15</l>
            </item>
            <item>
              <list id='1974' struct='atomic'>139.2394179,36.5748441</list>
            </item>
          </list>
        </item>
        <item>
          <list id='1975'>
            <item>
              <l>South Korea</l>
            </item>
            <item>
              <l>2020-01-20</l>
            </item>
            <item>
              <list id='1976' struct='atomic'>127.6961188,36.638392</list>
            </item>
          </list>
        </item>
        <item>
          <list id='1977'>
            <item>
              <l>United States</l>
            </item>
            <item>
              <l>2020-01-21</l>
            </item>
            <item>
              <list id='1978' struct='atomic'>-100.4458825,39.7837304</list>
            </item>
          </list>
        </item>
        <item>
          <list id='1979'>
            <item>
              <l>Taiwan</l>
            </item>
            <item>
              <l>2020-01-21</l>
            </item>
            <item>
              <list id='1980' struct='atomic'>120.9820179,23.9739374</list>
            </item>
          </list>
        </item>
        <item>
          <list id='1981'>
            <item>
              <l>Vietnam</l>
            </item>
            <item>
              <l>2020-01-24</l>
            </item>
            <item>
              <list id='1982' struct='atomic'>108.4265113,13.2904027</list>
            </item>
          </list>
        </item>
        <item>
          <list id='1983'>
            <item>
              <l>Singapore</l>
            </item>
            <item>
              <l>2020-01-24</l>
            </item>
            <item>
              <list id='1984' struct='atomic'>103.8303918,1.340863</list>
            </item>
          </list>
        </item>
        <item>
          <list id='1985'>
            <item>
              <l>Nepal</l>
            </item>
            <item>
              <l>2020-01-25</l>
            </item>
            <item>
              <list id='1986' struct='atomic'>84.0917139,28.1083929</list>
            </item>
          </list>
        </item>
        <item>
          <list id='1987'>
            <item>
              <l>Malaysia</l>
            </item>
            <item>
              <l>2020-01-25</l>
            </item>
            <item>
              <list id='1988' struct='atomic'>102.2656823,4.5693754</list>
            </item>
          </list>
        </item>
        <item>
          <list id='1989'>
            <item>
              <l>France</l>
            </item>
            <item>
              <l>2020-01-25</l>
            </item>
            <item>
              <list id='1990' struct='atomic'>1.8883335,46.603354</list>
            </item>
          </list>
        </item>
        <item>
          <list id='1991'>
            <item>
              <l>Australia</l>
            </item>
            <item>
              <l>2020-01-25</l>
            </item>
            <item>
              <list id='1992' struct='atomic'>134.755,-24.7761086</list>
            </item>
          </list>
        </item>
        <item>
          <list id='1993'>
            <item>
              <l>Canada</l>
            </item>
            <item>
              <l>2020-01-26</l>
            </item>
            <item>
              <list id='1994' struct='atomic'>-107.9917071,61.0666922</list>
            </item>
          </list>
        </item>
        <item>
          <list id='1995'>
            <item>
              <l>United Arab Emirates</l>
            </item>
            <item>
              <l>2020-01-27</l>
            </item>
            <item>
              <list id='1996' struct='atomic'>53.9994829,24.0002488</list>
            </item>
          </list>
        </item>
        <item>
          <list id='1997'>
            <item>
              <l>Sri Lanka</l>
            </item>
            <item>
              <l>2020-01-28</l>
            </item>
            <item>
              <list id='1998' struct='atomic'>80.7137847,7.5554942</list>
            </item>
          </list>
        </item>
        <item>
          <list id='1999'>
            <item>
              <l>Germany</l>
            </item>
            <item>
              <l>2020-01-28</l>
            </item>
            <item>
              <list id='2000' struct='atomic'>10.4234469,51.0834196</list>
            </item>
          </list>
        </item>
        <item>
          <list id='2001'>
            <item>
              <l>Cambodia</l>
            </item>
            <item>
              <l>2020-01-28</l>
            </item>
            <item>
              <list id='2002' struct='atomic'>104.869423,13.5066394</list>
            </item>
          </list>
        </item>
        <item>
          <list id='2003'>
            <item>
              <l>Philippines</l>
            </item>
            <item>
              <l>2020-01-30</l>
            </item>
            <item>
              <list id='2004' struct='atomic'>122.7312101,12.7503486</list>
            </item>
          </list>
        </item>
        <item>
          <list id='2005'>
            <item>
              <l>India</l>
            </item>
            <item>
              <l>2020-01-30</l>
            </item>
            <item>
              <list id='2006' struct='atomic'>78.6677428,22.3511148</list>
            </item>
          </list>
        </item>
        <item>
          <list id='2007'>
            <item>
              <l>Finland</l>
            </item>
            <item>
              <l>2020-01-30</l>
            </item>
            <item>
              <list id='2008' struct='atomic'>25.9209164,63.2467777</list>
            </item>
          </list>
        </item>
        <item>
          <list id='2009'>
            <item>
              <l>United Kingdom</l>
            </item>
            <item>
              <l>2020-01-31</l>
            </item>
            <item>
              <list id='2010' struct='atomic'>-3.2765753,54.7023545</list>
            </item>
          </list>
        </item>
        <item>
          <list id='2011'>
            <item>
              <l>Italy</l>
            </item>
            <item>
              <l>2020-01-31</l>
            </item>
            <item>
              <list id='2012' struct='atomic'>12.674297,42.6384261</list>
            </item>
          </list>
        </item>
        <item>
          <list id='2013'>
            <item>
              <l>Sweden</l>
            </item>
            <item>
              <l>2020-02-01</l>
            </item>
            <item>
              <list id='2014' struct='atomic'>14.5208584,59.6749712</list>
            </item>
          </list>
        </item>
        <item>
          <list id='2015'>
            <item>
              <l>Spain</l>
            </item>
            <item>
              <l>2020-02-01</l>
            </item>
            <item>
              <list id='2016' struct='atomic'>-4.8380649,39.3262345</list>
            </item>
          </list>
        </item>
        <item>
          <list id='2017'>
            <item>
              <l>Russia</l>
            </item>
            <item>
              <l>2020-02-01</l>
            </item>
            <item>
              <list id='2018' struct='atomic'>97.7453061,64.6863136</list>
            </item>
          </list>
        </item>
        <item>
          <list id='2019'>
            <item>
              <l>Belgium</l>
            </item>
            <item>
              <l>2020-02-04</l>
            </item>
            <item>
              <list id='2020' struct='atomic'>4.6667145,50.6402809</list>
            </item>
          </list>
        </item>
        <item>
          <list id='2021'>
            <item>
              <l>International</l>
            </item>
            <item>
              <l>2020-02-05</l>
            </item>
            <item>
              <list id='2022' struct='atomic'>14.3932647,50.1093459</list>
            </item>
          </list>
        </item>
        <item>
          <list id='2023'>
            <item>
              <l>Egypt</l>
            </item>
            <item>
              <l>2020-02-15</l>
            </item>
            <item>
              <list id='2024' struct='atomic'>29.2675469,26.2540493</list>
            </item>
          </list>
        </item>
        <item>
          <list id='2025'>
            <item>
              <l>Iran</l>
            </item>
            <item>
              <l>2020-02-20</l>
            </item>
            <item>
              <list id='2026' struct='atomic'>54.5643516,32.6475314</list>
            </item>
          </list>
        </item>
        <item>
          <list id='2027'>
            <item>
              <l>Lebanon</l>
            </item>
            <item>
              <l>2020-02-22</l>
            </item>
            <item>
              <list id='2028' struct='atomic'>35.843409,33.8750629</list>
            </item>
          </list>
        </item>
        <item>
          <list id='2029'>
            <item>
              <l>Israel</l>
            </item>
            <item>
              <l>2020-02-22</l>
            </item>
            <item>
              <list id='2030' struct='atomic'>34.8667654,31.5313113</list>
            </item>
          </list>
        </item>
        <item>
          <list id='2031'>
            <item>
              <l>Kuwait</l>
            </item>
            <item>
              <l>2020-02-24</l>
            </item>
            <item>
              <list id='2032' struct='atomic'>47.4979476,29.2733964</list>
            </item>
          </list>
        </item>
        <item>
          <list id='2033'>
            <item>
              <l>Bahrain</l>
            </item>
            <item>
              <l>2020-02-24</l>
            </item>
            <item>
              <list id='2034' struct='atomic'>50.5344606,26.1551249</list>
            </item>
          </list>
        </item>
        <item>
          <list id='2035'>
            <item>
              <l>Oman</l>
            </item>
            <item>
              <l>2020-02-25</l>
            </item>
            <item>
              <list id='2036' struct='atomic'>57.0036901,21.0000287</list>
            </item>
          </list>
        </item>
        <item>
          <list id='2037'>
            <item>
              <l>Iraq</l>
            </item>
            <item>
              <l>2020-02-25</l>
            </item>
            <item>
              <list id='2038' struct='atomic'>44.1749775,33.0955793</list>
            </item>
          </list>
        </item>
        <item>
          <list id='2039'>
            <item>
              <l>Afghanistan</l>
            </item>
            <item>
              <l>2020-02-25</l>
            </item>
            <item>
              <list id='2040' struct='atomic'>66.2385139,33.7680065</list>
            </item>
          </list>
        </item>
        <item>
          <list id='2041'>
            <item>
              <l>Switzerland</l>
            </item>
            <item>
              <l>2020-02-26</l>
            </item>
            <item>
              <list id='2042' struct='atomic'>8.2319736,46.7985624</list>
            </item>
          </list>
        </item>
        <item>
          <list id='2043'>
            <item>
              <l>Croatia</l>
            </item>
            <item>
              <l>2020-02-26</l>
            </item>
            <item>
              <list id='2044' struct='atomic'>17.0118954,45.5643442</list>
            </item>
          </list>
        </item>
        <item>
          <list id='2045'>
            <item>
              <l>Brazil</l>
            </item>
            <item>
              <l>2020-02-26</l>
            </item>
            <item>
              <list id='2046' struct='atomic'>-53.2,-10.3333333</list>
            </item>
          </list>
        </item>
        <item>
          <list id='2047'>
            <item>
              <l>Austria</l>
            </item>
            <item>
              <l>2020-02-26</l>
            </item>
            <item>
              <list id='2048' struct='atomic'>13.199959,47.2000338</list>
            </item>
          </list>
        </item>
        <item>
          <list id='2049'>
            <item>
              <l>Algeria</l>
            </item>
            <item>
              <l>2020-02-26</l>
            </item>
            <item>
              <list id='2050' struct='atomic'>2.9999825,28.0000272</list>
            </item>
          </list>
        </item>
        <item>
          <list id='2051'>
            <item>
              <l>Romania</l>
            </item>
            <item>
              <l>2020-02-27</l>
            </item>
            <item>
              <list id='2052' struct='atomic'>24.6859225,45.9852129</list>
            </item>
          </list>
        </item>
        <item>
          <list id='2053'>
            <item>
              <l>Pakistan</l>
            </item>
            <item>
              <l>2020-02-27</l>
            </item>
            <item>
              <list id='2054' struct='atomic'>71.247499,30.3308401</list>
            </item>
          </list>
        </item>
        <item>
          <list id='2055'>
            <item>
              <l>Norway</l>
            </item>
            <item>
              <l>2020-02-27</l>
            </item>
            <item>
              <list id='2056' struct='atomic'>11.5280364,64.5731537</list>
            </item>
          </list>
        </item>
        <item>
          <list id='2057'>
            <item>
              <l>Macedonia</l>
            </item>
            <item>
              <l>2020-02-27</l>
            </item>
            <item>
              <list id='2058' struct='atomic'>21.7168387,41.6171214</list>
            </item>
          </list>
        </item>
        <item>
          <list id='2059'>
            <item>
              <l>Greece</l>
            </item>
            <item>
              <l>2020-02-27</l>
            </item>
            <item>
              <list id='2060' struct='atomic'>21.9877132,38.9953683</list>
            </item>
          </list>
        </item>
        <item>
          <list id='2061'>
            <item>
              <l>Georgia</l>
            </item>
            <item>
              <l>2020-02-27</l>
            </item>
            <item>
              <list id='2062' struct='atomic'>44.0287382,41.6809707</list>
            </item>
          </list>
        </item>
        <item>
          <list id='2063'>
            <item>
              <l>Denmark</l>
            </item>
            <item>
              <l>2020-02-27</l>
            </item>
            <item>
              <list id='2064' struct='atomic'>10.3333283,55.670249</list>
            </item>
          </list>
        </item>
        <item>
          <list id='2065'>
            <item>
              <l>San Marino</l>
            </item>
            <item>
              <l>2020-02-28</l>
            </item>
            <item>
              <list id='2066' struct='atomic'>12.458306,43.9458623</list>
            </item>
          </list>
        </item>
        <item>
          <list id='2067'>
            <item>
              <l>Nigeria</l>
            </item>
            <item>
              <l>2020-02-28</l>
            </item>
            <item>
              <list id='2068' struct='atomic'>7.9999721,9.6000359</list>
            </item>
          </list>
        </item>
        <item>
          <list id='2069'>
            <item>
              <l>New Zealand</l>
            </item>
            <item>
              <l>2020-02-28</l>
            </item>
            <item>
              <list id='2070' struct='atomic'>172.8344077,-41.5000831</list>
            </item>
          </list>
        </item>
        <item>
          <list id='2071'>
            <item>
              <l>Netherlands</l>
            </item>
            <item>
              <l>2020-02-28</l>
            </item>
            <item>
              <list id='2072' struct='atomic'>5.7480821,52.5001698</list>
            </item>
          </list>
        </item>
        <item>
          <list id='2073'>
            <item>
              <l>Lithuania</l>
            </item>
            <item>
              <l>2020-02-28</l>
            </item>
            <item>
              <list id='2074' struct='atomic'>23.7499997,55.3500003</list>
            </item>
          </list>
        </item>
        <item>
          <list id='2075'>
            <item>
              <l>Estonia</l>
            </item>
            <item>
              <l>2020-02-28</l>
            </item>
            <item>
              <list id='2076' struct='atomic'>25.3319078,58.7523778</list>
            </item>
          </list>
        </item>
        <item>
          <list id='2077'>
            <item>
              <l>Belarus</l>
            </item>
            <item>
              <l>2020-02-28</l>
            </item>
            <item>
              <list id='2078' struct='atomic'>27.6971358,53.4250605</list>
            </item>
          </list>
        </item>
        <item>
          <list id='2079'>
            <item>
              <l>Monaco</l>
            </item>
            <item>
              <l>2020-02-29</l>
            </item>
            <item>
              <list id='2080' struct='atomic'>7.4242241,43.738449</list>
            </item>
          </list>
        </item>
        <item>
          <list id='2081'>
            <item>
              <l>Mexico</l>
            </item>
            <item>
              <l>2020-02-29</l>
            </item>
            <item>
              <list id='2082' struct='atomic'>-99.1331785,19.4326296</list>
            </item>
          </list>
        </item>
        <item>
          <list id='2083'>
            <item>
              <l>Iceland</l>
            </item>
            <item>
              <l>2020-02-29</l>
            </item>
            <item>
              <list id='2084' struct='atomic'>-18.1059013,64.9841821</list>
            </item>
          </list>
        </item>
        <item>
          <list id='2085'>
            <item>
              <l>Azerbaijan</l>
            </item>
            <item>
              <l>2020-02-29</l>
            </item>
            <item>
              <list id='2086' struct='atomic'>47.7872508,40.3936294</list>
            </item>
          </list>
        </item>
        <item>
          <list id='2087'>
            <item>
              <l>Qatar</l>
            </item>
            <item>
              <l>2020-03-01</l>
            </item>
            <item>
              <list id='2088' struct='atomic'>51.2295295,25.3336984</list>
            </item>
          </list>
        </item>
        <item>
          <list id='2089'>
            <item>
              <l>Luxembourg</l>
            </item>
            <item>
              <l>2020-03-01</l>
            </item>
            <item>
              <list id='2090' struct='atomic'>6.1296751,49.8158683</list>
            </item>
          </list>
        </item>
        <item>
          <list id='2091'>
            <item>
              <l>Ireland</l>
            </item>
            <item>
              <l>2020-03-01</l>
            </item>
            <item>
              <list id='2092' struct='atomic'>-7.9794599,52.865196</list>
            </item>
          </list>
        </item>
        <item>
          <list id='2093'>
            <item>
              <l>Ecuador</l>
            </item>
            <item>
              <l>2020-03-01</l>
            </item>
            <item>
              <list id='2094' struct='atomic'>-79.3666965,-1.3397668</list>
            </item>
          </list>
        </item>
        <item>
          <list id='2095'>
            <item>
              <l>Armenia</l>
            </item>
            <item>
              <l>2020-03-01</l>
            </item>
            <item>
              <list id='2096' struct='atomic'>44.6736646,40.7696272</list>
            </item>
          </list>
        </item>
        <item>
          <list id='2097'>
            <item>
              <l>Indonesia</l>
            </item>
            <item>
              <l>2020-03-02</l>
            </item>
            <item>
              <list id='2098' struct='atomic'>117.8902853,-2.4833826</list>
            </item>
          </list>
        </item>
        <item>
          <list id='2099'>
            <item>
              <l>Dominican Republic</l>
            </item>
            <item>
              <l>2020-03-02</l>
            </item>
            <item>
              <list id='2100' struct='atomic'>-70.3028026,19.0974031</list>
            </item>
          </list>
        </item>
        <item>
          <list id='2101'>
            <item>
              <l>Czech Republic</l>
            </item>
            <item>
              <l>2020-03-02</l>
            </item>
            <item>
              <list id='2102' struct='atomic'>15.4749544,49.8167003</list>
            </item>
          </list>
        </item>
        <item>
          <list id='2103'>
            <item>
              <l>Tunisia</l>
            </item>
            <item>
              <l>2020-03-03</l>
            </item>
            <item>
              <list id='2104' struct='atomic'>9.400138,33.8439408</list>
            </item>
          </list>
        </item>
        <item>
          <list id='2105'>
            <item>
              <l>Senegal</l>
            </item>
            <item>
              <l>2020-03-03</l>
            </item>
            <item>
              <list id='2106' struct='atomic'>-14.4529612,14.4750607</list>
            </item>
          </list>
        </item>
        <item>
          <list id='2107'>
            <item>
              <l>Saudi Arabia</l>
            </item>
            <item>
              <l>2020-03-03</l>
            </item>
            <item>
              <list id='2108' struct='atomic'>42.3528328,25.6242618</list>
            </item>
          </list>
        </item>
        <item>
          <list id='2109'>
            <item>
              <l>Portugal</l>
            </item>
            <item>
              <l>2020-03-03</l>
            </item>
            <item>
              <list id='2110' struct='atomic'>-7.8896263,40.0332629</list>
            </item>
          </list>
        </item>
        <item>
          <list id='2111'>
            <item>
              <l>Morocco</l>
            </item>
            <item>
              <l>2020-03-03</l>
            </item>
            <item>
              <list id='2112' struct='atomic'>-7.3362482,31.1728205</list>
            </item>
          </list>
        </item>
        <item>
          <list id='2113'>
            <item>
              <l>Latvia</l>
            </item>
            <item>
              <l>2020-03-03</l>
            </item>
            <item>
              <list id='2114' struct='atomic'>24.7537645,56.8406494</list>
            </item>
          </list>
        </item>
        <item>
          <list id='2115'>
            <item>
              <l>Jordan</l>
            </item>
            <item>
              <l>2020-03-03</l>
            </item>
            <item>
              <list id='2116' struct='atomic'>36.941628,31.1667049</list>
            </item>
          </list>
        </item>
        <item>
          <list id='2117'>
            <item>
              <l>Andorra</l>
            </item>
            <item>
              <l>2020-03-03</l>
            </item>
            <item>
              <list id='2118' struct='atomic'>1.5732033,42.5407167</list>
            </item>
          </list>
        </item>
        <item>
          <list id='2119'>
            <item>
              <l>Ukraine</l>
            </item>
            <item>
              <l>2020-03-04</l>
            </item>
            <item>
              <list id='2120' struct='atomic'>31.2718321,49.4871968</list>
            </item>
          </list>
        </item>
        <item>
          <list id='2121'>
            <item>
              <l>Poland</l>
            </item>
            <item>
              <l>2020-03-04</l>
            </item>
            <item>
              <list id='2122' struct='atomic'>19.134422,52.215933</list>
            </item>
          </list>
        </item>
        <item>
          <list id='2123'>
            <item>
              <l>Chile</l>
            </item>
            <item>
              <l>2020-03-04</l>
            </item>
            <item>
              <list id='2124' struct='atomic'>-71.3187697,-31.7613365</list>
            </item>
          </list>
        </item>
        <item>
          <list id='2125'>
            <item>
              <l>Argentina</l>
            </item>
            <item>
              <l>2020-03-04</l>
            </item>
            <item>
              <list id='2126' struct='atomic'>-64.9672817,-34.9964963</list>
            </item>
          </list>
        </item>
        <item>
          <list id='2127'>
            <item>
              <l>Slovenia</l>
            </item>
            <item>
              <l>2020-03-05</l>
            </item>
            <item>
              <list id='2128' struct='atomic'>14.4808369,45.8133113</list>
            </item>
          </list>
        </item>
        <item>
          <list id='2129'>
            <item>
              <l>Liechtenstein</l>
            </item>
            <item>
              <l>2020-03-05</l>
            </item>
            <item>
              <list id='2130' struct='atomic'>9.5531527,47.1416307</list>
            </item>
          </list>
        </item>
        <item>
          <list id='2131'>
            <item>
              <l>Hungary</l>
            </item>
            <item>
              <l>2020-03-05</l>
            </item>
            <item>
              <list id='2132' struct='atomic'>19.5060937,47.1817585</list>
            </item>
          </list>
        </item>
        <item>
          <list id='2133'>
            <item>
              <l>South Africa</l>
            </item>
            <item>
              <l>2020-03-06</l>
            </item>
            <item>
              <list id='2134' struct='atomic'>24.991639,-28.8166236</list>
            </item>
          </list>
        </item>
        <item>
          <list id='2135'>
            <item>
              <l>Palestine</l>
            </item>
            <item>
              <l>2020-03-06</l>
            </item>
            <item>
              <list id='2136' struct='atomic'>35.2738655,31.9469665</list>
            </item>
          </list>
        </item>
        <item>
          <list id='2137'>
            <item>
              <l>Bosnia and Herzegovina</l>
            </item>
            <item>
              <l>2020-03-06</l>
            </item>
            <item>
              <list id='2138' struct='atomic'>17.5961467,44.3053476</list>
            </item>
          </list>
        </item>
        <item>
          <list id='2139'>
            <item>
              <l>Bhutan</l>
            </item>
            <item>
              <l>2020-03-06</l>
            </item>
            <item>
              <list id='2140' struct='atomic'>90.5119273,27.549511</list>
            </item>
          </list>
        </item>
        <item>
          <list id='2141'>
            <item>
              <l>Vatican</l>
            </item>
            <item>
              <l>2020-03-07</l>
            </item>
            <item>
              <list id='2142' struct='atomic'>12.4531527,41.9038149</list>
            </item>
          </list>
        </item>
        <item>
          <list id='2143'>
            <item>
              <l>Togo</l>
            </item>
            <item>
              <l>2020-03-07</l>
            </item>
            <item>
              <list id='2144' struct='atomic'>1.0199765,8.7800265</list>
            </item>
          </list>
        </item>
        <item>
          <list id='2145'>
            <item>
              <l>Slovakia</l>
            </item>
            <item>
              <l>2020-03-07</l>
            </item>
            <item>
              <list id='2146' struct='atomic'>19.4528646,48.7411522</list>
            </item>
          </list>
        </item>
        <item>
          <list id='2147'>
            <item>
              <l>Serbia</l>
            </item>
            <item>
              <l>2020-03-07</l>
            </item>
            <item>
              <list id='2148' struct='atomic'>21.0765743,44.0243228</list>
            </item>
          </list>
        </item>
        <item>
          <list id='2149'>
            <item>
              <l>Peru</l>
            </item>
            <item>
              <l>2020-03-07</l>
            </item>
            <item>
              <list id='2150' struct='atomic'>-75.0458515,-6.8699697</list>
            </item>
          </list>
        </item>
        <item>
          <list id='2151'>
            <item>
              <l>Costa Rica</l>
            </item>
            <item>
              <l>2020-03-07</l>
            </item>
            <item>
              <list id='2152' struct='atomic'>-84.0739102,10.2735633</list>
            </item>
          </list>
        </item>
        <item>
          <list id='2153'>
            <item>
              <l>Colombia</l>
            </item>
            <item>
              <l>2020-03-07</l>
            </item>
            <item>
              <list id='2154' struct='atomic'>-73.783892,2.8894434</list>
            </item>
          </list>
        </item>
        <item>
          <list id='2155'>
            <item>
              <l>Cameroon</l>
            </item>
            <item>
              <l>2020-03-07</l>
            </item>
            <item>
              <list id='2156' struct='atomic'>13.1535811,4.6125522</list>
            </item>
          </list>
        </item>
        <item>
          <list id='2157'>
            <item>
              <l>Paraguay</l>
            </item>
            <item>
              <l>2020-03-08</l>
            </item>
            <item>
              <list id='2158' struct='atomic'>-58.1693445,-23.3165935</list>
            </item>
          </list>
        </item>
        <item>
          <list id='2159'>
            <item>
              <l>Moldova</l>
            </item>
            <item>
              <l>2020-03-08</l>
            </item>
            <item>
              <list id='2160' struct='atomic'>28.5670941,47.2879608</list>
            </item>
          </list>
        </item>
        <item>
          <list id='2161'>
            <item>
              <l>Malta</l>
            </item>
            <item>
              <l>2020-03-08</l>
            </item>
            <item>
              <list id='2162' struct='atomic'>14.4476911,35.8885993</list>
            </item>
          </list>
        </item>
        <item>
          <list id='2163'>
            <item>
              <l>Maldives</l>
            </item>
            <item>
              <l>2020-03-08</l>
            </item>
            <item>
              <list id='2164' struct='atomic'>73.3287853,4.7064352</list>
            </item>
          </list>
        </item>
        <item>
          <list id='2165'>
            <item>
              <l>Bulgaria</l>
            </item>
            <item>
              <l>2020-03-08</l>
            </item>
            <item>
              <list id='2166' struct='atomic'>25.4856617,42.6073975</list>
            </item>
          </list>
        </item>
        <item>
          <list id='2167'>
            <item>
              <l>Bangladesh</l>
            </item>
            <item>
              <l>2020-03-09</l>
            </item>
            <item>
              <list id='2168' struct='atomic'>90.2932426,24.4768783</list>
            </item>
          </list>
        </item>
        <item>
          <list id='2169'>
            <item>
              <l>Albania</l>
            </item>
            <item>
              <l>2020-03-09</l>
            </item>
            <item>
              <list id='2170' struct='atomic'>19.9999619,41.000028</list>
            </item>
          </list>
        </item>
        <item>
          <list id='2171'>
            <item>
              <l>Panama</l>
            </item>
            <item>
              <l>2020-03-10</l>
            </item>
            <item>
              <list id='2172' struct='atomic'>-81.1308434,8.559559</list>
            </item>
          </list>
        </item>
        <item>
          <list id='2173'>
            <item>
              <l>Mongolia</l>
            </item>
            <item>
              <l>2020-03-10</l>
            </item>
            <item>
              <list id='2174' struct='atomic'>103.8499736,46.8250388</list>
            </item>
          </list>
        </item>
        <item>
          <list id='2175'>
            <item>
              <l>Cyprus</l>
            </item>
            <item>
              <l>2020-03-10</l>
            </item>
            <item>
              <list id='2176' struct='atomic'>33.1451285,34.9823018</list>
            </item>
          </list>
        </item>
        <item>
          <list id='2177'>
            <item>
              <l>Brunei</l>
            </item>
            <item>
              <l>2020-03-10</l>
            </item>
            <item>
              <list id='2178' struct='atomic'>114.5653908,4.4137155</list>
            </item>
          </list>
        </item>
        <item>
          <list id='2179'>
            <item>
              <l>Democratic Republic of Congo</l>
            </item>
            <item>
              <l>2020-03-11</l>
            </item>
            <item>
              <list id='2180' struct='atomic'>23.8222636,-2.9814344</list>
            </item>
          </list>
        </item>
        <item>
          <list id='2181'>
            <item>
              <l>Burkina Faso</l>
            </item>
            <item>
              <l>2020-03-11</l>
            </item>
            <item>
              <list id='2182' struct='atomic'>-1.6880314,12.0753083</list>
            </item>
          </list>
        </item>
        <item>
          <list id='2183'>
            <item>
              <l>Turkey</l>
            </item>
            <item>
              <l>2020-03-12</l>
            </item>
            <item>
              <list id='2184' struct='atomic'>34.9249653,38.9597594</list>
            </item>
          </list>
        </item>
        <item>
          <list id='2185'>
            <item>
              <l>Jamaica</l>
            </item>
            <item>
              <l>2020-03-12</l>
            </item>
            <item>
              <list id='2186' struct='atomic'>-77.1598455,18.1152958</list>
            </item>
          </list>
        </item>
        <item>
          <list id='2187'>
            <item>
              <l>Honduras</l>
            </item>
            <item>
              <l>2020-03-12</l>
            </item>
            <item>
              <list id='2188' struct='atomic'>-86.0755145,15.2572432</list>
            </item>
          </list>
        </item>
        <item>
          <list id='2189'>
            <item>
              <l>Cuba</l>
            </item>
            <item>
              <l>2020-03-12</l>
            </item>
            <item>
              <list id='2190' struct='atomic'>-80.8328748,23.0131338</list>
            </item>
          </list>
        </item>
        <item>
          <list id='2191'>
            <item>
              <l>Cote d&apos;Ivoire</l>
            </item>
            <item>
              <l>2020-03-12</l>
            </item>
            <item>
              <list id='2192' struct='atomic'>-5.5679458,7.9897371</list>
            </item>
          </list>
        </item>
        <item>
          <list id='2193'>
            <item>
              <l>Bolivia</l>
            </item>
            <item>
              <l>2020-03-12</l>
            </item>
            <item>
              <list id='2194' struct='atomic'>-64.9912286,-17.0568696</list>
            </item>
          </list>
        </item>
        <item>
          <list id='2195'>
            <item>
              <l>Trinidad and Tobago</l>
            </item>
            <item>
              <l>2020-03-13</l>
            </item>
            <item>
              <list id='2196' struct='atomic'>-60.9821067,10.8677845</list>
            </item>
          </list>
        </item>
        <item>
          <list id='2197'>
            <item>
              <l>Saint Vincent and the Grenadines</l>
            </item>
            <item>
              <l>2020-03-13</l>
            </item>
            <item>
              <list id='2198' struct='atomic'>-61.2765569,12.90447</list>
            </item>
          </list>
        </item>
        <item>
          <list id='2199'>
            <item>
              <l>Guyana</l>
            </item>
            <item>
              <l>2020-03-13</l>
            </item>
            <item>
              <list id='2200' struct='atomic'>-58.6416891,4.8417097</list>
            </item>
          </list>
        </item>
        <item>
          <list id='2201'>
            <item>
              <l>Ghana</l>
            </item>
            <item>
              <l>2020-03-13</l>
            </item>
            <item>
              <list id='2202' struct='atomic'>-1.0800271,8.0300284</list>
            </item>
          </list>
        </item>
        <item>
          <list id='2203'>
            <item>
              <l>Gabon</l>
            </item>
            <item>
              <l>2020-03-13</l>
            </item>
            <item>
              <list id='2204' struct='atomic'>11.6899699,-0.8999695</list>
            </item>
          </list>
        </item>
        <item>
          <list id='2205'>
            <item>
              <l>Sudan</l>
            </item>
            <item>
              <l>2020-03-14</l>
            </item>
            <item>
              <list id='2206' struct='atomic'>29.4917691,14.5844444</list>
            </item>
          </list>
        </item>
        <item>
          <list id='2207'>
            <item>
              <l>Kenya</l>
            </item>
            <item>
              <l>2020-03-14</l>
            </item>
            <item>
              <list id='2208' struct='atomic'>38.4313975,1.4419683</list>
            </item>
          </list>
        </item>
        <item>
          <list id='2209'>
            <item>
              <l>Guinea</l>
            </item>
            <item>
              <l>2020-03-14</l>
            </item>
            <item>
              <list id='2210' struct='atomic'>-10.7083587,10.7226226</list>
            </item>
          </list>
        </item>
        <item>
          <list id='2211'>
            <item>
              <l>Ethiopia</l>
            </item>
            <item>
              <l>2020-03-14</l>
            </item>
            <item>
              <list id='2212' struct='atomic'>38.6521203,10.2116702</list>
            </item>
          </list>
        </item>
        <item>
          <list id='2213'>
            <item>
              <l>Venezuela</l>
            </item>
            <item>
              <l>2020-03-15</l>
            </item>
            <item>
              <list id='2214' struct='atomic'>-66.1109318,8.0018709</list>
            </item>
          </list>
        </item>
        <item>
          <list id='2215'>
            <item>
              <l>Uruguay</l>
            </item>
            <item>
              <l>2020-03-15</l>
            </item>
            <item>
              <list id='2216' struct='atomic'>-56.0201525,-32.8755548</list>
            </item>
          </list>
        </item>
        <item>
          <list id='2217'>
            <item>
              <l>Swaziland</l>
            </item>
            <item>
              <l>2020-03-15</l>
            </item>
            <item>
              <list id='2218' struct='atomic'>31.3991317,-26.5624806</list>
            </item>
          </list>
        </item>
        <item>
          <list id='2219'>
            <item>
              <l>Suriname</l>
            </item>
            <item>
              <l>2020-03-15</l>
            </item>
            <item>
              <list id='2220' struct='atomic'>-56.0771187,4.1413025</list>
            </item>
          </list>
        </item>
        <item>
          <list id='2221'>
            <item>
              <l>Seychelles</l>
            </item>
            <item>
              <l>2020-03-15</l>
            </item>
            <item>
              <list id='2222' struct='atomic'>55.4540146,-4.6574977</list>
            </item>
          </list>
        </item>
        <item>
          <list id='2223'>
            <item>
              <l>Saint Lucia</l>
            </item>
            <item>
              <l>2020-03-15</l>
            </item>
            <item>
              <list id='2224' struct='atomic'>-60.975036,13.8250489</list>
            </item>
          </list>
        </item>
        <item>
          <list id='2225'>
            <item>
              <l>Rwanda</l>
            </item>
            <item>
              <l>2020-03-15</l>
            </item>
            <item>
              <list id='2226' struct='atomic'>30.0644358,-1.9646631</list>
            </item>
          </list>
        </item>
        <item>
          <list id='2227'>
            <item>
              <l>Namibia</l>
            </item>
            <item>
              <l>2020-03-15</l>
            </item>
            <item>
              <list id='2228' struct='atomic'>17.3231107,-23.2335499</list>
            </item>
          </list>
        </item>
        <item>
          <list id='2229'>
            <item>
              <l>Mauritania</l>
            </item>
            <item>
              <l>2020-03-15</l>
            </item>
            <item>
              <list id='2230' struct='atomic'>-9.2399263,20.2540382</list>
            </item>
          </list>
        </item>
        <item>
          <list id='2231'>
            <item>
              <l>Kazakhstan</l>
            </item>
            <item>
              <l>2020-03-15</l>
            </item>
            <item>
              <list id='2232' struct='atomic'>65.2093197,47.2286086</list>
            </item>
          </list>
        </item>
        <item>
          <list id='2233'>
            <item>
              <l>Guatemala</l>
            </item>
            <item>
              <l>2020-03-15</l>
            </item>
            <item>
              <list id='2234' struct='atomic'>-89.8988087,15.6356088</list>
            </item>
          </list>
        </item>
        <item>
          <list id='2235'>
            <item>
              <l>Equatorial Guinea</l>
            </item>
            <item>
              <l>2020-03-15</l>
            </item>
            <item>
              <list id='2236' struct='atomic'>10.5170357,1.613172</list>
            </item>
          </list>
        </item>
        <item>
          <list id='2237'>
            <item>
              <l>Antigua and Barbuda</l>
            </item>
            <item>
              <l>2020-03-15</l>
            </item>
            <item>
              <list id='2238' struct='atomic'>-61.9554608,17.2234721</list>
            </item>
          </list>
        </item>
        <item>
          <list id='2239'>
            <item>
              <l>Uzbekistan</l>
            </item>
            <item>
              <l>2020-03-16</l>
            </item>
            <item>
              <list id='2240' struct='atomic'>63.9528098,41.32373</list>
            </item>
          </list>
        </item>
        <item>
          <list id='2241'>
            <item>
              <l>Kosovo</l>
            </item>
            <item>
              <l>2020-03-16</l>
            </item>
            <item>
              <list id='2242' struct='atomic'>20.9021231,42.5869578</list>
            </item>
          </list>
        </item>
        <item>
          <list id='2243'>
            <item>
              <l>Congo</l>
            </item>
            <item>
              <l>2020-03-16</l>
            </item>
            <item>
              <list id='2244' struct='atomic'>15.6419155,-0.7264327</list>
            </item>
          </list>
        </item>
        <item>
          <list id='2245'>
            <item>
              <l>Central African Republic</l>
            </item>
            <item>
              <l>2020-03-16</l>
            </item>
            <item>
              <list id='2246' struct='atomic'>19.9981227,7.0323598</list>
            </item>
          </list>
        </item>
        <item>
          <list id='2247'>
            <item>
              <l>Bahamas</l>
            </item>
            <item>
              <l>2020-03-16</l>
            </item>
            <item>
              <list id='2248' struct='atomic'>-78.0000547,24.7736546</list>
            </item>
          </list>
        </item>
        <item>
          <list id='2249'>
            <item>
              <l>Tanzania</l>
            </item>
            <item>
              <l>2020-03-17</l>
            </item>
            <item>
              <list id='2250' struct='atomic'>35.7878438,-6.5247123</list>
            </item>
          </list>
        </item>
        <item>
          <list id='2251'>
            <item>
              <l>Somalia</l>
            </item>
            <item>
              <l>2020-03-17</l>
            </item>
            <item>
              <list id='2252' struct='atomic'>49.083416,8.3676771</list>
            </item>
          </list>
        </item>
        <item>
          <list id='2253'>
            <item>
              <l>Liberia</l>
            </item>
            <item>
              <l>2020-03-17</l>
            </item>
            <item>
              <list id='2254' struct='atomic'>-9.3658524,5.7499721</list>
            </item>
          </list>
        </item>
        <item>
          <list id='2255'>
            <item>
              <l>Benin</l>
            </item>
            <item>
              <l>2020-03-17</l>
            </item>
            <item>
              <list id='2256' struct='atomic'>2.2584408,9.5293472</list>
            </item>
          </list>
        </item>
        <item>
          <list id='2257'>
            <item>
              <l>Montenegro</l>
            </item>
            <item>
              <l>2020-03-18</l>
            </item>
            <item>
              <list id='2258' struct='atomic'>19.5180992,42.9868853</list>
            </item>
          </list>
        </item>
        <item>
          <list id='2259'>
            <item>
              <l>Gambia</l>
            </item>
            <item>
              <l>2020-03-18</l>
            </item>
            <item>
              <list id='2260' struct='atomic'>-15.4900464,13.470062</list>
            </item>
          </list>
        </item>
        <item>
          <list id='2261'>
            <item>
              <l>Barbados</l>
            </item>
            <item>
              <l>2020-03-18</l>
            </item>
            <item>
              <list id='2262' struct='atomic'>-59.5250305,13.1500331</list>
            </item>
          </list>
        </item>
        <item>
          <list id='2263'>
            <item>
              <l>Zambia</l>
            </item>
            <item>
              <l>2020-03-19</l>
            </item>
            <item>
              <list id='2264' struct='atomic'>27.5599164,-14.5186239</list>
            </item>
          </list>
        </item>
        <item>
          <list id='2265'>
            <item>
              <l>Nicaragua</l>
            </item>
            <item>
              <l>2020-03-19</l>
            </item>
            <item>
              <list id='2266' struct='atomic'>-85.2936911,12.6090157</list>
            </item>
          </list>
        </item>
        <item>
          <list id='2267'>
            <item>
              <l>Kyrgyzstan</l>
            </item>
            <item>
              <l>2020-03-19</l>
            </item>
            <item>
              <list id='2268' struct='atomic'>74.724091,41.5089324</list>
            </item>
          </list>
        </item>
        <item>
          <list id='2269'>
            <item>
              <l>Guam</l>
            </item>
            <item>
              <l>2020-03-19</l>
            </item>
            <item>
              <list id='2270' struct='atomic'>144.757551,13.4501257</list>
            </item>
          </list>
        </item>
        <item>
          <list id='2271'>
            <item>
              <l>French Polynesia</l>
            </item>
            <item>
              <l>2020-03-19</l>
            </item>
            <item>
              <list id='2272' struct='atomic'>-146.0490931,-16.0344249</list>
            </item>
          </list>
        </item>
        <item>
          <list id='2273'>
            <item>
              <l>El Salvador</l>
            </item>
            <item>
              <l>2020-03-19</l>
            </item>
            <item>
              <list id='2274' struct='atomic'>-88.9140683,13.8000382</list>
            </item>
          </list>
        </item>
        <item>
          <list id='2275'>
            <item>
              <l>Djibouti</l>
            </item>
            <item>
              <l>2020-03-19</l>
            </item>
            <item>
              <list id='2276' struct='atomic'>42.8453061,11.8145966</list>
            </item>
          </list>
        </item>
        <item>
          <list id='2277'>
            <item>
              <l>Netherlands Antilles</l>
            </item>
            <item>
              <l>2020-03-20</l>
            </item>
            <item>
              <list id='2278' struct='atomic'>-68.9404723,12.1546009</list>
            </item>
          </list>
        </item>
        <item>
          <list id='2279'>
            <item>
              <l>Mauritius</l>
            </item>
            <item>
              <l>2020-03-20</l>
            </item>
            <item>
              <list id='2280' struct='atomic'>57.5703566,-20.2759451</list>
            </item>
          </list>
        </item>
        <item>
          <list id='2281'>
            <item>
              <l>Jersey</l>
            </item>
            <item>
              <l>2020-03-20</l>
            </item>
            <item>
              <list id='2282' struct='atomic'>-2.1256,49.2123066</list>
            </item>
          </list>
        </item>
        <item>
          <list id='2283'>
            <item>
              <l>Haiti</l>
            </item>
            <item>
              <l>2020-03-20</l>
            </item>
            <item>
              <list id='2284' struct='atomic'>-72.3570972,19.1399952</list>
            </item>
          </list>
        </item>
        <item>
          <list id='2285'>
            <item>
              <l>Guernsey</l>
            </item>
            <item>
              <l>2020-03-20</l>
            </item>
            <item>
              <list id='2286' struct='atomic'>-2.5290434,49.5795202</list>
            </item>
          </list>
        </item>
        <item>
          <list id='2287'>
            <item>
              <l>Greenland</l>
            </item>
            <item>
              <l>2020-03-20</l>
            </item>
            <item>
              <list id='2288' struct='atomic'>-42.8125967,77.6192349</list>
            </item>
          </list>
        </item>
        <item>
          <list id='2289'>
            <item>
              <l>Gibraltar</l>
            </item>
            <item>
              <l>2020-03-20</l>
            </item>
            <item>
              <list id='2290' struct='atomic'>-5.3352772,36.106747</list>
            </item>
          </list>
        </item>
        <item>
          <list id='2291'>
            <item>
              <l>Fiji</l>
            </item>
            <item>
              <l>2020-03-20</l>
            </item>
            <item>
              <list id='2292' struct='atomic'>179.0122737,-18.1239696</list>
            </item>
          </list>
        </item>
        <item>
          <list id='2293'>
            <item>
              <l>Faeroe Islands</l>
            </item>
            <item>
              <l>2020-03-20</l>
            </item>
            <item>
              <list id='2294' struct='atomic'>-6.8174124,62.1985004</list>
            </item>
          </list>
        </item>
        <item>
          <list id='2295'>
            <item>
              <l>Chad</l>
            </item>
            <item>
              <l>2020-03-20</l>
            </item>
            <item>
              <list id='2296' struct='atomic'>19.0156172,15.6134137</list>
            </item>
          </list>
        </item>
        <item>
          <list id='2297'>
            <item>
              <l>Cayman Islands</l>
            </item>
            <item>
              <l>2020-03-20</l>
            </item>
            <item>
              <list id='2298' struct='atomic'>-80.5667132,19.5417212</list>
            </item>
          </list>
        </item>
        <item>
          <list id='2299'>
            <item>
              <l>Bermuda</l>
            </item>
            <item>
              <l>2020-03-20</l>
            </item>
            <item>
              <list id='2300' struct='atomic'>-64.7603583,32.3018217</list>
            </item>
          </list>
        </item>
        <item>
          <list id='2301'>
            <item>
              <l>Zimbabwe</l>
            </item>
            <item>
              <l>2020-03-21</l>
            </item>
            <item>
              <list id='2302' struct='atomic'>29.7468414,-18.4554963</list>
            </item>
          </list>
        </item>
        <item>
          <list id='2303'>
            <item>
              <l>Papua New Guinea</l>
            </item>
            <item>
              <l>2020-03-21</l>
            </item>
            <item>
              <list id='2304' struct='atomic'>144.2489081,-5.6816069</list>
            </item>
          </list>
        </item>
        <item>
          <list id='2305'>
            <item>
              <l>Niger</l>
            </item>
            <item>
              <l>2020-03-21</l>
            </item>
            <item>
              <list id='2306' struct='atomic'>9.3238432,17.7356214</list>
            </item>
          </list>
        </item>
        <item>
          <list id='2307'>
            <item>
              <l>New Caledonia</l>
            </item>
            <item>
              <l>2020-03-21</l>
            </item>
            <item>
              <list id='2308' struct='atomic'>164.5566058,-20.4542886</list>
            </item>
          </list>
        </item>
        <item>
          <list id='2309'>
            <item>
              <l>Montserrat</l>
            </item>
            <item>
              <l>2020-03-21</l>
            </item>
            <item>
              <list id='2310' struct='atomic'>-62.1916844,16.7417041</list>
            </item>
          </list>
        </item>
        <item>
          <list id='2311'>
            <item>
              <l>Madagascar</l>
            </item>
            <item>
              <l>2020-03-21</l>
            </item>
            <item>
              <list id='2312' struct='atomic'>46.4416422,-18.9249604</list>
            </item>
          </list>
        </item>
        <item>
          <list id='2313'>
            <item>
              <l>Isle of Man</l>
            </item>
            <item>
              <l>2020-03-21</l>
            </item>
            <item>
              <list id='2314' struct='atomic'>-4.5145987,54.2358167</list>
            </item>
          </list>
        </item>
        <item>
          <list id='2315'>
            <item>
              <l>Cape Verde</l>
            </item>
            <item>
              <l>2020-03-21</l>
            </item>
            <item>
              <list id='2316' struct='atomic'>-24.0083947,16.0000552</list>
            </item>
          </list>
        </item>
        <item>
          <list id='2317'>
            <item>
              <l>Uganda</l>
            </item>
            <item>
              <l>2020-03-22</l>
            </item>
            <item>
              <list id='2318' struct='atomic'>32.2166578,1.5333554</list>
            </item>
          </list>
        </item>
        <item>
          <list id='2319'>
            <item>
              <l>Timor</l>
            </item>
            <item>
              <l>2020-03-22</l>
            </item>
            <item>
              <list id='2320' struct='atomic'>124.6372799,-9.3460171</list>
            </item>
          </list>
        </item>
        <item>
          <list id='2321'>
            <item>
              <l>Eritrea</l>
            </item>
            <item>
              <l>2020-03-22</l>
            </item>
            <item>
              <list id='2322' struct='atomic'>37.9999668,15.9500319</list>
            </item>
          </list>
        </item>
        <item>
          <list id='2323'>
            <item>
              <l>Angola</l>
            </item>
            <item>
              <l>2020-03-22</l>
            </item>
            <item>
              <list id='2324' struct='atomic'>17.5691241,-11.8775768</list>
            </item>
          </list>
        </item>
        <item>
          <list id='2325'>
            <item>
              <l>Syria</l>
            </item>
            <item>
              <l>2020-03-23</l>
            </item>
            <item>
              <list id='2326' struct='atomic'>39.0494106,34.6401861</list>
            </item>
          </list>
        </item>
        <item>
          <list id='2327'>
            <item>
              <l>Mozambique</l>
            </item>
            <item>
              <l>2020-03-23</l>
            </item>
            <item>
              <list id='2328' struct='atomic'>34.9144977,-19.302233</list>
            </item>
          </list>
        </item>
        <item>
          <list id='2329'>
            <item>
              <l>Grenada</l>
            </item>
            <item>
              <l>2020-03-23</l>
            </item>
            <item>
              <list id='2330' struct='atomic'>-61.6904045,12.1360374</list>
            </item>
          </list>
        </item>
        <item>
          <list id='2331'>
            <item>
              <l>Dominica</l>
            </item>
            <item>
              <l>2020-03-23</l>
            </item>
            <item>
              <list id='2332' struct='atomic'>-70.3028026,19.0974031</list>
            </item>
          </list>
        </item>
        <item>
          <list id='2333'>
            <item>
              <l>United States Virgin Islands</l>
            </item>
            <item>
              <l>2020-03-24</l>
            </item>
            <item>
              <list id='2334' struct='atomic'>-64.7080574,17.789187</list>
            </item>
          </list>
        </item>
        <item>
          <list id='2335'>
            <item>
              <l>Myanmar</l>
            </item>
            <item>
              <l>2020-03-24</l>
            </item>
            <item>
              <list id='2336' struct='atomic'>95.9999652,17.1750495</list>
            </item>
          </list>
        </item>
        <item>
          <list id='2337'>
            <item>
              <l>Belize</l>
            </item>
            <item>
              <l>2020-03-24</l>
            </item>
            <item>
              <list id='2338' struct='atomic'>-88.7600927,16.8259793</list>
            </item>
          </list>
        </item>
      </list>
    </variable>
  </variables>
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