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desc_analysis.html
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<!DOCTYPE html>
<html xmlns="http://www.w3.org/1999/xhtml">
<head>
<meta charset="utf-8">
<meta http-equiv="Content-Type" content="text/html; charset=utf-8" />
<meta name="generator" content="pandoc" />
<meta name="viewport" content="width=device-width, initial-scale=1">
<title>Air Traffic Challenge</title>
<link href="data:text/css;charset=utf-8,%2Epagedtable%20%7B%0Aoverflow%3A%20auto%3B%0Apadding%2Dleft%3A%208px%3B%0Apadding%2Dright%3A%208px%3B%0A%7D%0A%2Epagedtable%2Dwrapper%20%7B%0Aborder%3A%201px%20solid%20%23ccc%3B%0Aborder%2Dradius%3A%204px%3B%0Amargin%2Dbottom%3A%2010px%3B%0A%7D%0A%2Epagedtable%20table%20%7B%0Awidth%3A%20100%25%3B%0Amax%2Dwidth%3A%20100%25%3B%0Amargin%3A%200%3B%0A%7D%0A%2Epagedtable%20th%20%7B%0Apadding%3A%200%205px%200%205px%3B%0Aborder%3A%20none%3B%0Aborder%2Dbottom%3A%202px%20solid%20%23dddddd%3B%0Amin%2Dwidth%3A%2045px%3B%0A%7D%0A%2Epagedtable%2Dempty%20th%20%7B%0Adisplay%3A%20none%3B%0A%7D%0A%2Epagedtable%20td%20%7B%0Apadding%3A%200%204px%200%204px%3B%0A%7D%0A%2Epagedtable%20%2Eeven%20%7B%0Abackground%2Dcolor%3A%20%23fcfcfc%3B%0A%7D%0A%2Epagedtable%2Dpadding%2Dcol%20%7B%0Adisplay%3A%20none%3B%0A%7D%0A%2Epagedtable%20a%20%7B%0A%2Dwebkit%2Dtouch%2Dcallout%3A%20none%3B%0A%2Dwebkit%2Duser%2Dselect%3A%20none%3B%0A%2Dkhtml%2Duser%2Dselect%3A%20none%3B%0A%2Dmoz%2Duser%2Dselect%3A%20none%3B%0A%2Dms%2Duser%2Dselect%3A%20none%3B%0Auser%2Dselect%3A%20none%3B%0A%7D%0A%2Epagedtable%2Dindex%2Dnav%20%7B%0Acursor%3A%20pointer%3B%0Apadding%3A%200%205px%200%205px%3B%0Afloat%3A%20right%3B%0Aborder%3A%200%3B%0A%7D%0A%2Epagedtable%2Dindex%2Dnav%2Ddisabled%20%7B%0Acursor%3A%20default%3B%0Atext%2Ddecoration%3A%20none%3B%0Acolor%3A%20%23999%3B%0A%7D%0Aa%2Epagedtable%2Dindex%2Dnav%2Ddisabled%3Ahover%20%7B%0Atext%2Ddecoration%3A%20none%3B%0Acolor%3A%20%23999%3B%0A%7D%0A%2Epagedtable%2Dindexes%20%7B%0Acursor%3A%20pointer%3B%0Afloat%3A%20right%3B%0Aborder%3A%200%3B%0A%7D%0A%2Epagedtable%2Dindex%2Dcurrent%20%7B%0Acursor%3A%20default%3B%0Atext%2Ddecoration%3A%20none%3B%0Afont%2Dweight%3A%20bold%3B%0Acolor%3A%20%23333%3B%0Aborder%3A%200%3B%0A%7D%0Aa%2Epagedtable%2Dindex%2Dcurrent%3Ahover%20%7B%0Atext%2Ddecoration%3A%20none%3B%0Afont%2Dweight%3A%20bold%3B%0Acolor%3A%20%23333%3B%0A%7D%0A%2Epagedtable%2Dindex%20%7B%0Awidth%3A%2030px%3B%0Adisplay%3A%20inline%2Dblock%3B%0Atext%2Dalign%3A%20center%3B%0Aborder%3A%200%3B%0A%7D%0A%2Epagedtable%2Dindex%2Dseparator%2Dleft%20%7B%0Adisplay%3A%20inline%2Dblock%3B%0Acolor%3A%20%23333%3B%0Afont%2Dsize%3A%209px%3B%0Apadding%3A%200%200%200%200%3B%0Acursor%3A%20default%3B%0A%7D%0A%2Epagedtable%2Dindex%2Dseparator%2Dright%20%7B%0Adisplay%3A%20inline%2Dblock%3B%0Acolor%3A%20%23333%3B%0Afont%2Dsize%3A%209px%3B%0Apadding%3A%200%204px%200%200%3B%0Acursor%3A%20default%3B%0A%7D%0A%2Epagedtable%2Dfooter%20%7B%0Apadding%2Dtop%3A%204px%3B%0Apadding%2Dbottom%3A%205px%3B%0A%7D%0A%2Epagedtable%2Dnot%2Dempty%20%2Epagedtable%2Dfooter%20%7B%0Aborder%2Dtop%3A%202px%20solid%20%23dddddd%3B%0A%7D%0A%2Epagedtable%2Dinfo%20%7B%0Aoverflow%3A%20hidden%3B%0Acolor%3A%20%23999%3B%0Awhite%2Dspace%3A%20nowrap%3B%0Atext%2Doverflow%3A%20ellipsis%3B%0A%7D%0A%2Epagedtable%2Dheader%2Dname%20%7B%0Aoverflow%3A%20hidden%3B%0Atext%2Doverflow%3A%20ellipsis%3B%0A%7D%0A%2Epagedtable%2Dheader%2Dtype%20%7B%0Acolor%3A%20%23999%3B%0Afont%2Dweight%3A%20400%3B%0A%7D%0A%2Epagedtable%2Dna%2Dcell%20%7B%0Afont%2Dstyle%3A%20italic%3B%0Aopacity%3A%200%2E3%3B%0A%7D%0A" rel="stylesheet" />
<script src="data:application/x-javascript;base64,// Production steps of ECMA-262, Edition 5, 15.4.4.18
// Reference: http://es5.github.io/#x15.4.4.18
if (!Array.prototype.forEach) {

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}

// Production steps of ECMA-262, Edition 5, 15.4.4.19
// Reference: http://es5.github.io/#x15.4.4.19
if (!Array.prototype.map) {

  Array.prototype.map = function(callback, thisArg) {

    var T, A, k;

    if (this == null) {
      throw new TypeError(' this is null or not defined');
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    // 1. Let O be the result of calling ToObject passing the |this|
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    var O = Object(this);

    // 2. Let lenValue be the result of calling the Get internal
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    // 3. Let len be ToUint32(lenValue).
    var len = O.length >>> 0;

    // 4. If IsCallable(callback) is false, throw a TypeError exception.
    // See: http://es5.github.com/#x9.11
    if (typeof callback !== 'function') {
      throw new TypeError(callback + ' is not a function');
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    // 5. If thisArg was supplied, let T be thisArg; else let T be undefined.
    if (arguments.length > 1) {
      T = thisArg;
    }

    // 6. Let A be a new array created as if by the expression new Array(len)
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      //   This step can be combined with c
      // c. If kPresent is true, then
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        // i. Let kValue be the result of calling the Get internal
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        kValue = O[k];

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        mappedValue = callback.call(T, kValue, k, O);

        // iii. Call the DefineOwnProperty internal method of A with arguments
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        //   Writable: true,
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        // In browsers that support Object.defineProperty, use the following:
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        //   enumerable: true,
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        // For best browser support, use the following:
        A[k] = mappedValue;
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      // d. Increase k by 1.
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    return A;
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}

var PagedTable = function (pagedTable) {
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  var source = function(pagedTable) {
    var sourceElems = [].slice.call(pagedTable.children).filter(function(e) {
      return e.hasAttribute("data-pagedtable-source");
    });

    if (sourceElems === null || sourceElems.length !== 1) {
      throw("A single data-pagedtable-source was not found");
    }

    return JSON.parse(sourceElems[0].innerHTML);
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  var options = function(source) {
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    var rows = typeof(options.rows) !== "undefined" ? options.rows : {};

    var positiveIntOrNull = function(value) {
      return parseInt(value) >= 0 ? parseInt(value) : null;
    };

    return {
      pages: positiveIntOrNull(options.pages),
      rows: {
        min: positiveIntOrNull(rows.min),
        max: positiveIntOrNull(rows.max),
        total: positiveIntOrNull(rows.total)
      },
      columns: {
        min: positiveIntOrNull(columns.min),
        max: positiveIntOrNull(columns.max),
        total: positiveIntOrNull(columns.total)
      }
    };
  }(source);

  var Measurer = function() {

    // set some default initial values that will get adjusted in runtime
    me.measures = {
      padding: 12,
      character: 8,
      height: 15,
      defaults: true
    };

    me.calculate = function(measuresCell) {
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        return;

      var measuresCellStyle = window.getComputedStyle(measuresCell, null);

      var newPadding = parsePadding(measuresCellStyle.paddingLeft) +
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      var sampleString = "ABCDEFGHIJ0123456789";
      var newCharacter = Math.ceil(measuresCell.clientWidth / sampleString.length);

      if (newPadding <= 0 || newCharacter <= 0)
        return;

      me.measures.padding = newPadding;
      me.measures.character = newCharacter;
      me.measures.height = measuresCell.clientHeight;
      me.measures.defaults = false;
    };

    return me;
  };

  var Page = function(data, options) {
    var me = this;

    var defaults = {
      max: 7,
      rows: 10
    };

    var totalPages = function() {
      return Math.ceil(data.length / me.rows);
    };

    me.number = 0;
    me.max = options.pages !== null ? options.pages : defaults.max;
    me.visible = me.max;
    me.rows = options.rows.min !== null ? options.rows.min : defaults.rows;
    me.total = totalPages();

    me.setRows = function(newRows) {
      me.rows = newRows;
      me.total = totalPages();
    };

    me.setPageNumber = function(newPageNumber) {
      if (newPageNumber < 0) newPageNumber = 0;
      if (newPageNumber >= me.total) newPageNumber = me.total - 1;

      me.number = newPageNumber;
    };

    me.setVisiblePages = function(visiblePages) {
      me.visible = Math.min(me.max, visiblePages);
      me.setPageNumber(me.number);
    };

    me.getVisiblePageRange = function() {
      var start = me.number - Math.max(Math.floor((me.visible - 1) / 2), 0);
      var end = me.number + Math.floor(me.visible / 2) + 1;
      var pageCount = me.total;

      if (start < 0) {
        var diffToStart = 0 - start;
        start += diffToStart;
        end += diffToStart;
      }

      if (end > pageCount) {
        var diffToEnd = end - pageCount;
        start -= diffToEnd;
        end -= diffToEnd;
      }

      start = start < 0 ? 0 : start;
      end = end >= pageCount ? pageCount : end;

      var first = false;
      var last = false;

      if (start > 0 && me.visible > 1) {
        start = start + 1;
        first = true;
      }

      if (end < pageCount && me.visible > 2) {
        end = end - 1;
        last = true;
      }

      return {
        first: first,
        start: start,
        end: end,
        last: last
      };
    };

    me.getRowStart = function() {
      var rowStart = page.number * page.rows;
      if (rowStart < 0)
        rowStart = 0;

      return rowStart;
    };

    me.getRowEnd = function() {
      var rowStart = me.getRowStart();
      return Math.min(rowStart + me.rows, data.length);
    };

    me.getPaddingRows = function() {
      var rowStart = me.getRowStart();
      var rowEnd = me.getRowEnd();
      return data.length > me.rows ? me.rows - (rowEnd - rowStart) : 0;
    };
  };

  var Columns = function(data, columns, options) {
    var me = this;

    me.defaults = {
      min: 5
    };

    me.number = 0;
    me.visible = 0;
    me.total = columns.length;
    me.subset = [];
    me.padding = 0;
    me.min = options.columns.min !== null ? options.columns.min : me.defaults.min;
    me.max = options.columns.max !== null ? options.columns.max : null;
    me.widths = {};

    var widthsLookAhead = Math.max(100, options.rows.min);
    var paddingColChars = 10;

    me.emptyNames = function() {
      columns.forEach(function(column) {
        if (columns.label !== null && columns.label !== "")
          return false;
      });

      return true;
    };

    var parsePadding = function(value) {
      return parseInt(value) >= 0 ? parseInt(value) : 0;
    };

    me.calculateWidths = function(measures) {
      columns.forEach(function(column) {
        var maxChars = Math.max(
          column.label.toString().length,
          column.type.toString().length
        );

        for (var idxRow = 0; idxRow < Math.min(widthsLookAhead, data.length); idxRow++) {
          maxChars = Math.max(maxChars, data[idxRow][column.name.toString()].length);
        }

        me.widths[column.name] = {
          // width in characters
          chars: maxChars,
          // width for the inner html columns
          inner: maxChars * measures.character,
          // width adding outer styles like padding
          outer: maxChars * measures.character + measures.padding
        };
      });
    };

    me.getWidth = function() {
      var widthOuter = 0;
      for (var idxCol = 0; idxCol < me.subset.length; idxCol++) {
        var columnName = me.subset[idxCol].name;
        widthOuter = widthOuter + me.widths[columnName].outer;
      }

      widthOuter = widthOuter + me.padding * paddingColChars * measurer.measures.character;

      if (me.hasMoreLeftColumns()) {
        widthOuter = widthOuter + columnNavigationWidthPX + measurer.measures.padding;
      }

      if (me.hasMoreRightColumns()) {
        widthOuter = widthOuter + columnNavigationWidthPX + measurer.measures.padding;
      }

      return widthOuter;
    };

    me.updateSlice = function() {
      if (me.number + me.visible >= me.total)
        me.number = me.total - me.visible;

      if (me.number < 0) me.number = 0;

      me.subset = columns.slice(me.number, Math.min(me.number + me.visible, me.total));

      me.subset = me.subset.map(function(column) {
        Object.keys(column).forEach(function(colKey) {
          column[colKey] = column[colKey] === null ? "" : column[colKey].toString();
        });

        column.width = null;
        return column;
      });
    };

    me.setVisibleColumns = function(columnNumber, newVisibleColumns, paddingCount) {
      me.number = columnNumber;
      me.visible = newVisibleColumns;
      me.padding = paddingCount;

      me.updateSlice();
    };

    me.incColumnNumber = function(increment) {
      me.number = me.number + increment;
    };

    me.setColumnNumber = function(newNumber) {
      me.number = newNumber;
    };

    me.setPaddingCount = function(newPadding) {
      me.padding = newPadding;
    };

    me.getPaddingCount = function() {
      return me.padding;
    };

    me.hasMoreLeftColumns = function() {
      return me.number > 0;
    };

    me.hasMoreRightColumns = function() {
      return me.number + me.visible < me.total;
    };

    me.updateSlice(0);
    return me;
  };

  var data = source.data;
  var page = new Page(data, options);
  var measurer = new Measurer(data, options);
  var columns = new Columns(data, source.columns, options);

  var table = null;
  var tableDiv = null;
  var header = null;
  var footer = null;
  var tbody = null;

  // Caches pagedTable.clientWidth, specially for webkit
  var cachedPagedTableClientWidth = null;

  var onChangeCallbacks = [];

  var clearSelection = function() {
    if(document.selection && document.selection.empty) {
      document.selection.empty();
    } else if(window.getSelection) {
      var sel = window.getSelection();
      sel.removeAllRanges();
    }
  };

  var columnNavigationWidthPX = 5;

  var renderColumnNavigation = function(increment, backwards) {
    var arrow = document.createElement("div");
    arrow.setAttribute("style",
      "border-top: " + columnNavigationWidthPX + "px solid transparent;" +
      "border-bottom: " + columnNavigationWidthPX + "px solid transparent;" +
      "border-" + (backwards ? "right" : "left") + ": " + columnNavigationWidthPX + "px solid;");

    var header = document.createElement("th");
    header.appendChild(arrow);
    header.setAttribute("style",
      "cursor: pointer;" +
      "vertical-align: middle;" +
      "min-width: " + columnNavigationWidthPX + "px;" +
      "width: " + columnNavigationWidthPX + "px;");

    header.onclick = function() {
      columns.incColumnNumber(backwards ? -1 : increment);

      me.animateColumns(backwards);
      renderFooter();

      clearSelection();
      triggerOnChange();
    };

    return header;
  };

  var maxColumnWidth = function(width) {
    var padding = 80;
    var columnMax = Math.max(cachedPagedTableClientWidth - padding, 0);

    return parseInt(width) > 0 ?
      Math.min(columnMax, parseInt(width)) + "px" :
      columnMax + "px";
  };

  var clearHeader = function() {
    var thead = pagedTable.querySelectorAll("thead")[0];
    thead.innerHTML = "";
  };

  var renderHeader = function(clear) {
    cachedPagedTableClientWidth = pagedTable.clientWidth;

    var fragment = document.createDocumentFragment();

    header = document.createElement("tr");
    fragment.appendChild(header);

    if (columns.number > 0)
      header.appendChild(renderColumnNavigation(-columns.visible, true));

    columns.subset = columns.subset.map(function(columnData) {
      var column = document.createElement("th");
      column.setAttribute("align", columnData.align);
      column.style.textAlign = columnData.align;

      column.style.maxWidth = maxColumnWidth(null);
      if (columnData.width) {
        column.style.minWidth =
          column.style.maxWidth = maxColumnWidth(columnData.width);
      }

      var columnName = document.createElement("div");
      columnName.setAttribute("class", "pagedtable-header-name");
      if (columnData.label === "") {
        columnName.innerHTML = "&nbsp;";
      }
      else {
        columnName.appendChild(document.createTextNode(columnData.label));
      }
      column.appendChild(columnName);

      var columnType = document.createElement("div");
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      if (columnData.type === "") {
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      else {
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      column.appendChild(columnType);

      header.appendChild(column);

      columnData.element = column;

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    if (columns.number + columns.visible < columns.total)
      header.appendChild(renderColumnNavigation(columns.visible, false));

    if (typeof(clear) == "undefined" || clear) clearHeader();
    var thead = pagedTable.querySelectorAll("thead")[0];
    thead.appendChild(fragment);
  };

  me.animateColumns = function(backwards) {
    var thead = pagedTable.querySelectorAll("thead")[0];

    var headerOld = thead.querySelectorAll("tr")[0];
    var tbodyOld = table.querySelectorAll("tbody")[0];

    me.fitColumns(backwards);

    renderHeader(false);

    header.style.opacity = "0";
    header.style.transform = backwards ? "translateX(-30px)" : "translateX(30px)";
    header.style.transition = "transform 200ms linear, opacity 200ms";
    header.style.transitionDelay = "0";

    renderBody(false);

    if (headerOld) {
      headerOld.style.position = "absolute";
      headerOld.style.transform = "translateX(0px)";
      headerOld.style.opacity = "1";
      headerOld.style.transition = "transform 100ms linear, opacity 100ms";
      headerOld.setAttribute("class", "pagedtable-remove-head");
      if (headerOld.style.transitionEnd) {
        headerOld.addEventListener("transitionend", function() {
          var headerOldByClass = thead.querySelector(".pagedtable-remove-head");
          if (headerOldByClass) thead.removeChild(headerOldByClass);
        });
      }
      else {
        thead.removeChild(headerOld);
      }
    }

    if (tbodyOld) table.removeChild(tbodyOld);

    tbody.style.opacity = "0";
    tbody.style.transition = "transform 200ms linear, opacity 200ms";
    tbody.style.transitionDelay = "0ms";

    // force relayout
    window.getComputedStyle(header).opacity;
    window.getComputedStyle(tbody).opacity;

    if (headerOld) {
      headerOld.style.transform = backwards ? "translateX(20px)" : "translateX(-30px)";
      headerOld.style.opacity = "0";
    }

    header.style.transform = "translateX(0px)";
    header.style.opacity = "1";

    tbody.style.opacity = "1";
  }

  me.onChange = function(callback) {
    onChangeCallbacks.push(callback);
  };

  var triggerOnChange = function() {
    onChangeCallbacks.forEach(function(onChange) {
      onChange();
    });
  };

  var clearBody = function() {
    if (tbody) {
      table.removeChild(tbody);
      tbody = null;
    }
  };

  var renderBody = function(clear) {
    cachedPagedTableClientWidth = pagedTable.clientWidth

    var fragment = document.createDocumentFragment();

    var pageData = data.slice(page.getRowStart(), page.getRowEnd());

    pageData.forEach(function(dataRow, idxRow) {
      var htmlRow = document.createElement("tr");
      htmlRow.setAttribute("class", (idxRow % 2 !==0) ? "even" : "odd");

      if (columns.hasMoreLeftColumns())
        htmlRow.appendChild(document.createElement("td"));

      columns.subset.forEach(function(columnData) {
        var cellName = columnData.name;
        var dataCell = dataRow[cellName];
        var htmlCell = document.createElement("td");

        if (dataCell === "NA") htmlCell.setAttribute("class", "pagedtable-na-cell");
        if (dataCell === "__NA__") dataCell = "NA";

        var cellText = document.createTextNode(dataCell);
        htmlCell.appendChild(cellText);
        if (dataCell.length > 50) {
          htmlCell.setAttribute("title", dataCell);
        }
        htmlCell.setAttribute("align", columnData.align);
        htmlCell.style.textAlign = columnData.align;
        htmlCell.style.maxWidth = maxColumnWidth(null);
        if (columnData.width) {
          htmlCell.style.minWidth = htmlCell.style.maxWidth = maxColumnWidth(columnData.width);
        }
        htmlRow.appendChild(htmlCell);
      });

      for (var idx = 0; idx < columns.getPaddingCount(); idx++) {
        var paddingCol = document.createElement("td");
        paddingCol.setAttribute("class", "pagedtable-padding-col");
        htmlRow.appendChild(paddingCol);
      }

      if (columns.hasMoreRightColumns())
        htmlRow.appendChild(document.createElement("td"));

      fragment.appendChild(htmlRow);
    });

    for (var idxPadding = 0; idxPadding < page.getPaddingRows(); idxPadding++) {
      var paddingRow = document.createElement("tr");

      var paddingCellRow = document.createElement("td");
      paddingCellRow.innerHTML = "&nbsp;";
      paddingCellRow.setAttribute("colspan", "100%");
      paddingRow.appendChild(paddingCellRow);

      fragment.appendChild(paddingRow);
    }

    if (typeof(clear) == "undefined" || clear) clearBody();
    tbody = document.createElement("tbody");
    tbody.appendChild(fragment);

    table.appendChild(tbody);
  };

  var getLabelInfo = function() {
    var pageStart = page.getRowStart();
    var pageEnd = page.getRowEnd();
    var totalRows = data.length;

    var totalRowsLabel = options.rows.total ? options.rows.total : totalRows;
    var totalRowsLabelFormat = totalRowsLabel.toString().replace(/(\d)(?=(\d\d\d)+(?!\d))/g, '$1,');

    var infoText = (pageStart + 1) + "-" + pageEnd + " of " + totalRowsLabelFormat + " rows";
    if (totalRows < page.rows) {
      infoText = totalRowsLabel + " row" + (totalRows != 1 ? "s" : "");
    }
    if (columns.total > columns.visible) {
      var totalColumnsLabel = options.columns.total ? options.columns.total : columns.total;

      infoText = infoText + " | " + (columns.number + 1) + "-" +
        (Math.min(columns.number + columns.visible, columns.total)) +
        " of " + totalColumnsLabel + " columns";
    }

    return infoText;
  };

  var clearFooter = function() {
    footer = pagedTable.querySelectorAll("div.pagedtable-footer")[0];
    footer.innerHTML = "";

    return footer;
  };

  var createPageLink = function(idxPage) {
    var pageLink = document.createElement("a");
    pageLinkClass = idxPage === page.number ? "pagedtable-index pagedtable-index-current" : "pagedtable-index";
    pageLink.setAttribute("class", pageLinkClass);
    pageLink.setAttribute("data-page-index", idxPage);
    pageLink.onclick = function() {
      page.setPageNumber(parseInt(this.getAttribute("data-page-index")));
      renderBody();
      renderFooter();

      triggerOnChange();
    };

    pageLink.appendChild(document.createTextNode(idxPage + 1));

    return pageLink;
  }

  var renderFooter = function() {
    footer = clearFooter();

    var next = document.createElement("a");
    next.appendChild(document.createTextNode("Next"));
    next.onclick = function() {
      page.setPageNumber(page.number + 1);
      renderBody();
      renderFooter();

      triggerOnChange();
    };
    if (data.length > page.rows) footer.appendChild(next);

    var pageNumbers = document.createElement("div");
    pageNumbers.setAttribute("class", "pagedtable-indexes");

    var pageRange = page.getVisiblePageRange();

    if (pageRange.first) {
      var pageLink = createPageLink(0);
      pageNumbers.appendChild(pageLink);

      var pageSeparator = document.createElement("div");
      pageSeparator.setAttribute("class", "pagedtable-index-separator-left");
      pageSeparator.appendChild(document.createTextNode("..."))
      pageNumbers.appendChild(pageSeparator);
    }

    for (var idxPage = pageRange.start; idxPage < pageRange.end; idxPage++) {
      var pageLink = createPageLink(idxPage);

      pageNumbers.appendChild(pageLink);
    }

    if (pageRange.last) {
      var pageSeparator = document.createElement("div");
      pageSeparator.setAttribute("class", "pagedtable-index-separator-right");
      pageSeparator.appendChild(document.createTextNode("..."))
      pageNumbers.appendChild(pageSeparator);

      var pageLink = createPageLink(page.total - 1);
      pageNumbers.appendChild(pageLink);
    }

    if (data.length > page.rows) footer.appendChild(pageNumbers);

    var previous = document.createElement("a");
    previous.appendChild(document.createTextNode("Previous"));
    previous.onclick = function() {
      page.setPageNumber(page.number - 1);
      renderBody();
      renderFooter();

      triggerOnChange();
    };
    if (data.length > page.rows) footer.appendChild(previous);

    var infoLabel = document.createElement("div");
    infoLabel.setAttribute("class", "pagedtable-info");
    infoLabel.setAttribute("title", getLabelInfo());
    infoLabel.appendChild(document.createTextNode(getLabelInfo()));
    footer.appendChild(infoLabel);

    var enabledClass = "pagedtable-index-nav";
    var disabledClass = "pagedtable-index-nav pagedtable-index-nav-disabled";
    previous.setAttribute("class", page.number <= 0 ? disabledClass : enabledClass);
    next.setAttribute("class", (page.number + 1) * page.rows >= data.length ? disabledClass : enabledClass);
  };

  var measuresCell = null;

  var renderMeasures = function() {
    var measuresTable = document.createElement("table");
    measuresTable.style.visibility = "hidden";
    measuresTable.style.position = "absolute";
    measuresTable.style.whiteSpace = "nowrap";
    measuresTable.style.height = "auto";
    measuresTable.style.width = "auto";

    var measuresRow = document.createElement("tr");
    measuresTable.appendChild(measuresRow);

    measuresCell = document.createElement("td");
    var sampleString = "ABCDEFGHIJ0123456789";
    measuresCell.appendChild(document.createTextNode(sampleString));

    measuresRow.appendChild(measuresCell);

    tableDiv.appendChild(measuresTable);
  }

  me.init = function() {
    tableDiv = document.createElement("div");
    pagedTable.appendChild(tableDiv);
    var pagedTableClass = data.length > 0 ?
      "pagedtable pagedtable-not-empty" :
      "pagedtable pagedtable-empty";

    if (columns.total == 0 || (columns.emptyNames() && data.length == 0)) {
      pagedTableClass = pagedTableClass + " pagedtable-empty-columns";
    }

    tableDiv.setAttribute("class", pagedTableClass);

    renderMeasures();
    measurer.calculate(measuresCell);
    columns.calculateWidths(measurer.measures);

    table = document.createElement("table");
    table.setAttribute("cellspacing", "0");
    table.setAttribute("class", "table table-condensed");
    tableDiv.appendChild(table);

    table.appendChild(document.createElement("thead"));

    var footerDiv = document.createElement("div");
    footerDiv.setAttribute("class", "pagedtable-footer");
    tableDiv.appendChild(footerDiv);

    // if the host has not yet provided horizontal space, render hidden
    if (tableDiv.clientWidth <= 0) {
      tableDiv.style.opacity = "0";
    }

    me.render();

    // retry seizing columns later if the host has not provided space
    function retryFit() {
      if (tableDiv.clientWidth <= 0) {
        setTimeout(retryFit, 100);
      } else {
        me.render();
        triggerOnChange();
      }
    }
    if (tableDiv.clientWidth <= 0) {
      retryFit();
    }
  };

  var registerWidths = function() {
    columns.subset = columns.subset.map(function(column) {
      column.width = columns.widths[column.name].inner;
      return column;
    });
  };

  var parsePadding = function(value) {
    return parseInt(value) >= 0 ? parseInt(value) : 0;
  };

  me.fixedHeight = function() {
    return options.rows.max != null;
  }

  me.fitRows = function() {
    if (me.fixedHeight())
      return;

    measurer.calculate(measuresCell);

    var rows = options.rows.min !== null ? options.rows.min : 0;
    var headerHeight = header !== null && header.offsetHeight > 0 ? header.offsetHeight : 0;
    var footerHeight = footer !== null && footer.offsetHeight > 0 ? footer.offsetHeight : 0;

    if (pagedTable.offsetHeight > 0) {
      var availableHeight = pagedTable.offsetHeight - headerHeight - footerHeight;
      rows = Math.floor((availableHeight) / measurer.measures.height);
    }

    rows = options.rows.min !== null ? Math.max(options.rows.min, rows) : rows;

    page.setRows(rows);
  }

  // The goal of this function is to add as many columns as possible
  // starting from left-to-right, when the right most limit is reached
  // it tries to add columns from the left as well.
  //
  // When startBackwards is true columns are added from right-to-left
  me.fitColumns = function(startBackwards) {
    measurer.calculate(measuresCell);
    columns.calculateWidths(measurer.measures);

    if (tableDiv.clientWidth > 0) {
      tableDiv.style.opacity = 1;
    }

    var visibleColumns = tableDiv.clientWidth <= 0 ? Math.max(columns.min, 1) : 1;
    var columnNumber = columns.number;
    var paddingCount = 0;

    // track a list of added columns as we build the visible ones to allow us
    // to remove columns when they don't fit anymore.
    var columnHistory = [];

    var lastTableHeight = 0;
    var backwards = startBackwards;

    var tableDivStyle = window.getComputedStyle(tableDiv, null);
    var tableDivPadding = parsePadding(tableDivStyle.paddingLeft) +
      parsePadding(tableDivStyle.paddingRight);

    var addPaddingCol = false;
    var currentWidth = 0;

    while (true) {
      columns.setVisibleColumns(columnNumber, visibleColumns, paddingCount);
      currentWidth = columns.getWidth();

      if (tableDiv.clientWidth - tableDivPadding < currentWidth) {
        break;
      }

      columnHistory.push({
        columnNumber: columnNumber,
        visibleColumns: visibleColumns,
        paddingCount: paddingCount
      });

      if (columnHistory.length > 100) {
        console.error("More than 100 tries to fit columns, aborting");
        break;
      }

      if (columns.max !== null &&
        columns.visible + columns.getPaddingCount() >= columns.max) {
        break;
      }

      // if we run out of right-columns
      if (!backwards && columnNumber + columns.visible >= columns.total) {
        // if we started adding right-columns, try adding left-columns
        if (!startBackwards && columnNumber > 0) {
          backwards = true;
        }
        else if (columns.min === null || visibleColumns + columns.getPaddingCount() >= columns.min) {
          break;
        }
        else {
          paddingCount = paddingCount + 1;
        }
      }

      // if we run out of left-columns
      if (backwards && columnNumber == 0) {
        // if we started adding left-columns, try adding right-columns
        if (startBackwards && columnNumber + columns.visible < columns.total) {
          backwards = false;
        }
        else if (columns.min === null || visibleColumns + columns.getPaddingCount() >= columns.min) {
          break;
        }
        else {
          paddingCount = paddingCount + 1;
        }
      }

      // when moving backwards try fitting left columns first
      if (backwards && columnNumber > 0) {
        columnNumber = columnNumber - 1;
      }

      if (columnNumber + visibleColumns < columns.total) {
        visibleColumns = visibleColumns + 1;
      }
    }

    var lastRenderableColumn = {
        columnNumber: columnNumber,
        visibleColumns: visibleColumns,
        paddingCount: paddingCount
    };

    if (columnHistory.length > 0) {
      lastRenderableColumn = columnHistory[columnHistory.length - 1];
    }

    columns.setVisibleColumns(
      lastRenderableColumn.columnNumber,
      lastRenderableColumn.visibleColumns,
      lastRenderableColumn.paddingCount);

    if (pagedTable.offsetWidth > 0) {
      page.setVisiblePages(Math.max(Math.ceil(1.0 * (pagedTable.offsetWidth - 250) / 40), 2));
    }

    registerWidths();
  };

  me.fit = function(startBackwards) {
    me.fitRows();
    me.fitColumns(startBackwards);
  }

  me.render = function() {
    me.fitColumns(false);

    // render header/footer to measure height accurately
    renderHeader();
    renderFooter();

    me.fitRows();
    renderBody();

    // re-render footer to match new rows
    renderFooter();
  }

  var resizeLastWidth = -1;
  var resizeLastHeight = -1;
  var resizeNewWidth = -1;
  var resizeNewHeight = -1;
  var resizePending = false;

  me.resize = function(newWidth, newHeight) {

    function resizeDelayed() {
      resizePending = false;

      if (
        (resizeNewWidth !== resizeLastWidth) ||
        (!me.fixedHeight() && resizeNewHeight !== resizeLastHeight)
      ) {
        resizeLastWidth = resizeNewWidth;
        resizeLastHeight = resizeNewHeight;

        setTimeout(resizeDelayed, 200);
        resizePending = true;
      } else {
        me.render();
        triggerOnChange();

        resizeLastWidth = -1;
        resizeLastHeight = -1;
      }
    }

    resizeNewWidth = newWidth;
    resizeNewHeight = newHeight;

    if (!resizePending) resizeDelayed();
  };
};

var PagedTableDoc;
(function (PagedTableDoc) {
  var allPagedTables = [];

  PagedTableDoc.initAll = function() {
    allPagedTables = [];

    var pagedTables = [].slice.call(document.querySelectorAll('[data-pagedtable="false"],[data-pagedtable=""]'));
    pagedTables.forEach(function(pagedTable, idx) {
      pagedTable.setAttribute("data-pagedtable", "true");
      pagedTable.setAttribute("pagedtable-page", 0);
      pagedTable.setAttribute("class", "pagedtable-wrapper");

      var pagedTableInstance = new PagedTable(pagedTable);
      pagedTableInstance.init();

      allPagedTables.push(pagedTableInstance);
    });
  };

  PagedTableDoc.resizeAll = function() {
    allPagedTables.forEach(function(pagedTable) {
      pagedTable.render();
    });
  };

  window.addEventListener("resize", PagedTableDoc.resizeAll);

  return PagedTableDoc;
})(PagedTableDoc || (PagedTableDoc = {}));

window.onload = function() {
  PagedTableDoc.initAll();
};
"></script>
<style type="text/css">code{white-space: pre;}</style>
<style type="text/css">
div.sourceCode { overflow-x: auto; }
table.sourceCode, tr.sourceCode, td.lineNumbers, td.sourceCode {
margin: 0; padding: 0; vertical-align: baseline; border: none; }
table.sourceCode { width: 100%; line-height: 100%; }
td.lineNumbers { text-align: right; padding-right: 4px; padding-left: 4px; color: #aaaaaa; border-right: 1px solid #aaaaaa; }
td.sourceCode { padding-left: 5px; }
code > span.kw { color: #007020; font-weight: bold; } /* Keyword */
code > span.dt { color: #902000; } /* DataType */
code > span.dv { color: #40a070; } /* DecVal */
code > span.bn { color: #40a070; } /* BaseN */
code > span.fl { color: #40a070; } /* Float */
code > span.ch { color: #4070a0; } /* Char */
code > span.st { color: #4070a0; } /* String */
code > span.co { color: #60a0b0; font-style: italic; } /* Comment */
code > span.ot { color: #007020; } /* Other */
code > span.al { color: #ff0000; font-weight: bold; } /* Alert */
code > span.fu { color: #06287e; } /* Function */
code > span.er { color: #ff0000; font-weight: bold; } /* Error */
code > span.wa { color: #60a0b0; font-weight: bold; font-style: italic; } /* Warning */
code > span.cn { color: #880000; } /* Constant */
code > span.sc { color: #4070a0; } /* SpecialChar */
code > span.vs { color: #4070a0; } /* VerbatimString */
code > span.ss { color: #bb6688; } /* SpecialString */
code > span.im { } /* Import */
code > span.va { color: #19177c; } /* Variable */
code > span.cf { color: #007020; font-weight: bold; } /* ControlFlow */
code > span.op { color: #666666; } /* Operator */
code > span.bu { } /* BuiltIn */
code > span.ex { } /* Extension */
code > span.pp { color: #bc7a00; } /* Preprocessor */
code > span.at { color: #7d9029; } /* Attribute */
code > span.do { color: #ba2121; font-style: italic; } /* Documentation */
code > span.an { color: #60a0b0; font-weight: bold; font-style: italic; } /* Annotation */
code > span.cv { color: #60a0b0; font-weight: bold; font-style: italic; } /* CommentVar */
code > span.in { color: #60a0b0; font-weight: bold; font-style: italic; } /* Information */
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NOjMKhUpWZWHK5LZgl9279229we2OBUX50kuVjv5QDo7PBwnsvrhWJF%2BYDIuVagZDxeFHOF1MEKbsBMEQS%2BKJjOVdXJ1BKw61EH%2BfeqSTzTz3I7ZA3Zuv%2Bwhshy3sDFL2TjctJR6n2SDsfFJ3A0I5ewXfAgugw7s%2B0XQG0SAfFVWHOEsr6TyphSHW5NHFc9J6Wa%2B7B3Dfp42HguHAUINniPlZCpQ%2Fl0CogDIrW%2F8u85iv7sGv8ZzGzYAxjwV%2FMCxTwobJQCTWU8HRPQeruaaXpRqestVdUOXso7dupeF7px4Z8%2Bed3arKFc44AIg51W9ch4kIIiUEocmSk4sBpCcj15oUDRJXYYExl37RmirrkIv55rLASYJJF%2BS3t0nopeptU%2BE%2BmLrLK%2BlPgQyid3mCBU6UP1rVz8R2n770zc%2FXf7x8s%2FNn9fvaFi3rmFHPfmMLWRP4lycho%2FjNPY4W82Os88wiJ34K4tdAIQjAOQkx8YArcM2PaAOjSZBL8uolzAJFFvGDXd8ej67P2AvKpUkOYghcnK7zl300RBcsExwzJ%2Fhbrd7GuYBwhgAIYtbTx%2F3%2Bd4klJ3gtKCQnGIz9InYZEzqG8EkjSzNavCB%2FcXYlcQshhyMsZrI6PYLWc3lOG%2FvlA4rHr%2F3uTFD3r38%2Fr%2B3fMKOke9W4oJ9G566u7au84CpOz%2Fct5R99wF7W6dIYjjnawrHIAh3hlungFOWgXoyzVKbHOr1eD19Il6vISsrrU8kSzbY%2B0QMGpdjgYh60zDTHJKHoyP4404pw27zB4o1o62gq%2BBLL299am8j%2Bzv774zj995%2FdgTOZsOfWr3rnTWPj2h8qGbo1%2FM%2F%2FkYYvmxfms7TtPrM54E7ns4vwBw0rFy%2FaNJjRRVTet31OgCBPABhongUDOCAzuE0h6gnxChToCJ1ulB0iH0jeqvscFBZotflk%2BhMQ5oJDqhrC%2Fl%2F%2FFxmAUlGYeK5Z6Jl5MDec2yJQdc%2Bl5ViNduL1avoZ805eGll04jy6COKheT8S%2BU6kQwdw%2BlW6nPpXF4qtEoBziwAye3mMnRLkqlPRLqZdQlsKxTcLghkqhzjrLL5M%2BWgUwldSkjbL1HPLrCf51d8MHbv66zu%2FmcGl5Kz0YNZ0%2Bmcf759kbEB29qGGrZiYWop2b2R9fYqnKnlWOVzqXqgNfQIB5LtRr8fQLLT7CyT0ZLaL2K0WFzU5e0TcfmojkckcgvcyhJ4pNlr8Bd63VyEhIbiGhfIBFGTq8R9lqcWB2Dl1G79Rn%2F9i8n08OU3L%2F760UX2E369YuvqVUPrI9VryFR8CXc5V%2FrYefbW7svv%2FYNdxUHv%2FOnFVQ1V8yse2Dde0UcAIY%2FzU4L0sA1FEQg3jJT0jVAJFBlqbOOrALk1dCOmkuHNF%2BmpaKOYunHhldNAlZhEyFGpz4R20C%2Bc47Vmu%2B6gqXo9lewuq5TfXrLnZORk9Ink5JjAlNwvYvJBoF8E5N8qd9nN3jrmj7mOx8OPLDXqolpgwv0zZkpuzaeTynf%2BvWjNvnr22b%2BbsfDJR7%2Be%2BcL6dQ1bXlu3CDvOWfHIMytnrhJPHt7x4L7eg%2F48%2B8C5U0euLuu%2Ff8ozr1xteHTRssdGru8V3kwfeHTMsN937%2FzksLEzFdlO5NQpNsMLWdAtnJlizzQYAAQu26AljUvWZbEQlyuJi1Ymcr8Iaal2jjKNg5qJ9Ctqx02jMyDFKHJw8TpUIvjHKhXZQlZ0%2FIwe1eO%2B%2B6%2FRVHpg2mv%2FuPbBuguPMtfKLU%2BtuXfjkIFraEVzg2tlMuZg6O57%2FvXBP1C3kZ3H9od2PPV81RMVE%2FaNAy3HEcaokRS34Ta%2BLAA8XotzQMRiizkRDVfN87X0JXae6NzkVR6Znehb6J8XL%2BY3IKovXMjn0oEDMrkmmc2iXu9yGm0DIkab6hgTZklwj%2FT6FDccpXsmn6Rjlxv%2BknyrTFMR8%2BU%2FcF9%2BDiRwh%2FUCiChwdeXD58cDhSwsRjeikNNcTo83%2F0AtP2DDKLywji1nhxSezMTjgo9eVHOy3LBbJgIQ0OsEsToiIFRHrIjI4wHOlfxEz6a4ZOTXTLq9eTjdTofW1bEH6up%2Bg5GIBDhGEr2BkRNVlMZTa%2FP3HKVyrMMKrF3H%2FKPYUAWjlGsXaRnXrxTIhrJwqp%2FbMtnphFYWIdgGoLWtddqASGuPzdA7YhNaqFZLvVJSEa48LZwUd4YSN4mJ%2Baq%2FctSSXgtmD6gf2emV91%2F9KNj38bHd9l3PX0tq19dMnzFw3OSsgsWjj%2BzqPXn0w4On3e9nZ%2BNJLYFZ1yqkQ2ITFEM5zzwyA%2B1KLJ1kVwpAjsvSTgx3S%2BrQQeiisxv5Ky%2B9kGbnqUmllmSFEhOP6%2FG4ug6C2nJQUPdSt0td36R1IFMgbsUalrqlQAbw4KK1v1BwIH%2FudKqm8NCQbeMHP2LUtVk3rv7Fb4712N3Tt%2FDeaWvZt3%2B8wA7swe6Y%2F5cvjv3I1rHJn%2BAyhLM44ODVn14%2F7bBUDpq%2Fhpxb8c388XfdM%2BrU3veu%2BTws17Pv7O79aFvzMnvxc3aaHRq8sAZX4jgUsP7CfvYntoNhGYquJiAAAKJNPAIyWLjk0ojFqENR0SwqyILNaiG9I0bRYhFECoKD518xh6iplZYz%2B5W8H0OIlBsz%2FtURB6IHmnaT7itJORvb6A94cnbjGZYvHrnSg0zENwfPGTGddQIKJwCEo9xyW8ALGdA7nO0UUg1Wn89iEGQLjwd01iRrUlXEarWAxVcVsTjAWxUBevt4QnM9%2FgxBMbluwe4SAjxpj%2FmcgN0ef3cCt2IAhVVLsR%2F7%2BTIjjZjU9PTeY1ew4I9%2FOvhn8cCeI%2FNf9BnK2Pk3%2FkZ7TF00%2B6HoquhndauXPAGAMIdb09Oqr8gOu6jFpbdQb5IDekccglHi%2FHK2DL%2B4emRymUNIE3%2BRo3WokKfbtNP37Cs0%2F7rxjQ0X2Cvs2Rex%2FNNLuysbxBB7lX3FPmdvl64rwyU44QusOVSzuj8AUTgmDuEc04FdsYcWQQ8COJyiuSoiUsFSFREct4ppwc9rSBlA%2BZuAPZTBx2Az2Uo2CY%2FhIHysic%2F1z59PI%2FdU5CtWz%2BaJB9gi9gKmYebVKZgHgMq89Bc%2Br1GJWSSDAQXQoWAyS%2FreEUlCQsTeEUKRr3B03DZmUZBwxy%2F6S%2FMZmh%2BdTYZHt5OF4oH1LKc%2BeilhJj0UhpMlAKQ6pAbjTRPxSW45Q0CbAac3asPzwaNfrY9LTuyi2ilOhUvnI8SSohNapUJK7wiAaDLZe0dMgujtHRGdt4%2B8%2FHaphRyV9%2Brq5lT1xe9nfPc0a2IrDuKQL%2F%2F9bve3DrL%2Fso%2FQj0kbVrGXCYuWZWXjUhzzD7xn%2F%2BD6GvYau8Q%2BZe8H8LUY7WK6yuVQ2KdHBJ0giCCaTTraO6LTiQaJoshJV81RgnG%2FQbydi5f%2FDYnpjc2ssZGSRrI3Ws1z7dXkYQC8NoLNxfFqVpwaNht1OotVT4GzFDJj9GrpGI15%2BJJiPpxLMg0v6dVv9AONx9jclFWuR6fyFGvI0TNxvRC%2BUjHmnkjBViRGg4Ix0Yn6RGzLWkgJZRVRDKHw1TvRrzc2NpL1J6JN5M0l0dc5snnk4%2BjCBF0QIT1soQCCJCMFzgtw3EBXxTekkO0%2B0aio0pV%2FbIp9V%2BKIgpPrUZJOFCUev%2FJSmsuNBjuVjDK1gKQgp2DnLbuZlRjwuJUAn2MY4nce4COtZjadZSsCntbhh6zRomMm0bbpo%2Bbh4oGrVQLPOume7Uev%2FBCXo1IDsUG7sFsvcaytVpDB7jBS2aqjKCdypaUI4xPzabNJKZdj%2BWvNn%2BtsW4%2FRVB2xkGeEk582NR%2FnE3ZMwaxy2guAqFp99FZ5bu%2BIXqDW3hHqvLVNiOltBiTmueJRtpW9oZgjHIE9sBOOujo9%2Bv1%2Ffvn5h%2F9Eeb77LHuYa%2B94HIt1bArbxs6yU1iIuRjEAnYqZp%2BE8erqdUBRONnA%2Bc75DE6XQaiKGAySLDuqIjKVEtavhpXmSgW%2FmlplYChutYXx7Ay7tLsRZ5PWUePGL949euKoYPr7t1HOh2jK6mdXrVC5wHaoXLBCCp%2BZp8MeAIEa%2BOqmZtns6x0xC7KTL2yZM%2BMtlRs3J6I2pViG8q258sX7OOxndrH0tpz5ki3rzuqxivyf%2FDnN%2BWMCN1SGs8yIxKS3y0aDQdYTwePVm8EMVRGzmVDK5UepkSi6cntnp2Ku8ktw20SOf5bGNm4BcRXyGdhfcfkJ9jQ7%2FVXTzl2vfEZGRLeJB94%2Fzf4%2BLjqZjFi9cuWqJwDVHIFw29ha4V6a0wSQ5BSFrGxTGvV4uH30CFSfoEoJiY4mt0CGlozy8D%2Bo5jgx%2B6jmBbwy4BEI%2B9d3rHnZ0I%2FGN%2B7usnL1ey%2BxM389WLx%2F1%2BINHRbWXfoDLjz%2B6Z07su%2BYN73vyIFFvd959sV3qtf2nfFA35F3FQw8AoDgABCGcv7JvJ7iABSRUp1epgK3CYLmFeJ5qGYSi7k3IEsbWYFQyQrE9PWqJzjM14yPj2OHrLDdhgYZZafDrqOCmQ8UpzGUuFzsLkUnVHMYs4uij%2F2F%2FcJfFxrfee3ld8QDzf2vsC8wo5nuaa44%2BMabh%2BghQAAA4XW1%2FpMcNqJgMuooCJQqiPLlrxWvQhjgF8%2F%2FSgXTwej3O6M%2FNmF1x8zWHdVaFh%2F5uU3bnwXkmg1yXz6aT6km%2BQwpyW6LRdQn2Q0U9TGTotqUGOKqNclWAjJldKcyenwSZ0h8cyc75y5CT3v2xU42u%2BnL9p6UYpSa0Nne7yy%2B1EQ%2F7PaW6%2Fdbm0N88llHNx18ic5qnrv59RXv0YUK93QAQr1q9QNhhyCJ3ORLiskXFJMvtDT5KhocAz63Yu7rj%2FPIY0oTXmKdjuAkfHg%2F60QWROeQZnI4%2Bgq5M9oX4lybrUY5GWGrIBJRpnoDiChTUeOcJmE%2BqKL%2BGCJdcNEhlrSb%2BQ6T8%2BR887zoCZJPFyv1ZQBBscZ6pWKmQyqDLKBgMIoCNwcUdUrMcuuKmVot8AvlzU6qi9roq82%2F0LSFwoaNC69OAIQGdoRMVnSRY2mRUFAYoxcJlTDIOdBSfeJRD5nMSvEEu4B%2BdkS6svyKX6HWC0A%2Bi1c2Kd5c2XRy3h0mgYbo%2F4spg%2FKNEDuCzdrMFFACSacHOUgFevPMXj5rMb9CfMoLfOrSA%2BKF5b9KyigFJCgExOMgQVJYD1TWiQQEwrO%2BG5rpVFUTC3DfaPxsA1vG9pEg3dQ8jnwV9QJea2Zv0k3XKtUKsJLHIlEqwBgjmU%2FLQUfRp9mbCwCxTjhHHZIf9OA8AILRID2BkJ%2Bs1ZoxwDW1OMStBHU83G1fm5MZ0%2B4QzhUdK3f33F8MRKk50lPCUEXzoVc4K1NnTEvz%2BRw6yqMpYkzrFSFGI7jd1ooIt4LJFRHRA24o%2F98LVH4tX7NllapJZ7zS6LZn8QVeLKsVKjrQrxv43GPPvUychyc%2FVveH0F3HR77xCrNs%2FmPDWy89tOWB3js3Y1%2Bb1GPe7Jq5dxTuORZ11TZuHC3LD00fOhwI7OVWtVZygRPSeVUt0%2BD1Wq2mVGqiGX4zmNwOu8HOhccRljzgqoiArYV5DSXF1SDB1sddEk825YBijeRQiVcrvHAqyJ5Pv%2F3%2Bk0l%2F7GwKzGzQ6Wa811i%2FqXFjfb0wlJ1jP%2FDXxwMGLpdcbNHcsTuWvv7ll29fOPPJXwAQpnMOLxWGxbIaK6VuPU3ySmaOmQ0cHDPPzVmNGM9qlJ1DHgNzu6hmOGTcZXYV9f8d8HTbUOn8QrbvuW11Tz3swiw0oRPvyPQu96Sywe9%2B2mlNGRBlVqGU88fB%2BdM97E%2BVvGCx2CV7ht%2FhtgIgmqhez9mjt1FnRYR6bscerSYTkLTqvTcUDPLPA6osi%2BJOiG7ST%2F%2Fn2W%2B%2F%2B%2BTCTLMsNCxmTzdu3Ny4evOmNS9gNlr5647tA%2Frh0V%2B%2Fmfny%2B4Gv3r54%2Bi%2BfxLF0cN44IRk6hdOTDF4jpdzqtkrxGit4uRskyaUyyqIw6paZQyiRZQ632%2B%2BJsUuivNbh53Kb%2Bx%2F2JYp%2Fe%2F%2B7qFl8eecf%2FzBk65bfb7WQLstc2AZl1GMH9v3fJxx%2Fp2pttp%2F%2Bc%2FeGrS8oUksFoBYpHVxK3cVlMjkJ4UaSuj0GvhQMgKIsVkScspUqq0GtY98IAxWmOZS1p2QNgeJSXkPW3DX3mE%2BzrxreeANH3lObN6LH8KHopW83l9G3%2B3TugmsDC9PnPNkLgEKQuYQCzplcKIVu8HC4a56vQ5YpvYtY4ESnSHIzW6Vn%2BQzd72xlLbYWV0R0nXpFDJm6XKvOqvPk5pJekVxrm%2FJekTY2T7teEU9KnHUa%2Bzj%2F8pXd%2BrzbxD1uragaVBdAqDC%2BjaAUkrJv%2FOXKcGMXmJOnbhQXF%2FF3QsHJVnf87VhB3sSqoa%2Fte5X9jf3r7FdPzMgtC%2FccNOnTtwb3ZPb6ZWdOPLzh7amPD50%2F4z8%2F1T4uVE5ICkzt9ewxXYdBbfPqVx54ddvqMauTndXFnYfmBnY%2B2PS66ypEhs2ZFOn5IO08%2FZFvfn4cEPYCCD24nnuUzM5i0nFz7dF7vEkWvcMhVEQcNgOA3q0Y7xjlCatesVT2mALbtRUfM1P06cfm%2F%2BGZhgadoWD%2FjBMnyJuLfn%2Fkk%2BjrfHXnDOow4N5XP4gWAxDYDoDjxAtAwcr9tZ3PJCDa7Ga5MmImVlQ04%2F3EwqZSIqAJJVQc3NDQ1CG3TceObXI7CJWYU1Zc0qFDaSkAubaKudSxTZAEd4Q9TqPRrNP5kj22yognrLcC1z6ISzW5xSTOhATTljhb3v2det7Zv%2FeNGZnLt9g16B6h%2BaqNHZHv0yaP8TSV89QGJTzetxgMRqNOEkSdYHeYAGw2nY7KRje1xiKGfD5zeUyFyuJsRTUiQi0bdclYkzcER73JeuD5E2zOnB07dKSgy2icydpGlxLpQTZOcjW%2FXTo9NjcO5nNT4GQCoiASQHfca2tMVBjHYVRo6SRfJQGoCAfcdruDiz%2BgdwRo66xWHrfb4RPMPm5p0302p1UPDkUPuCLEt534Igi1bHVIVIgEzfAqepHh1bRDypryyOa1DVNmblnVsDhFl79rIuIAXcHhmYdfJicWLNj3cnSLcv%2Fzx9HjQmV99dDDg8e8%2BheuMZq2cnxdUBBOApeiri69x23S22xcWW02g%2FV2ytpSV72Jmrp7m4JG6NDUt95RNPXwJ%2Bq8d0XUSWM2dhSfU9EknsU6wSyDnOwzeLgds1GbYvxvmcVylSHFilGFxE4PYRT74fKaf%2FwOTZcvobX5lZ3PPffii88%2F10Cy2I%2FswyeR%2FAFNmMfeZ1f%2F8rfzH545p1j5vdyW1apU%2B6E8nOEzCrKsS3foHJkBwQhWq7siYrXprboUaHXDzMdZ0GLBqpaeO2hPAhMUr62Y%2BgRHrThpU8Niry7c%2BPBf%2F%2Bf7yzvryabGFc8%2B6xowcMRg1kUqqh9azT5h%2F1GcNr14%2BGTWl29fevfUeYVXHNNSlVexqMKW6qHJyT6bL8OfnOK1pqalecxOp8wtv80MFRHz%2F%2BY2VT5yJ1l63Ul6r3vQ0njtQyL9GzaIW15cvXnjnI8uf%2FfJ57P0SQsajObpM%2Fd9mHXp3YunT59birloRDO2a6z%2F9T38eEzFCzE9okGOpw1ywy6zXm8wEF4DsZrB4FYtg03rc2nRkaE5IY15ZEfvjt4eRQtfaahz6rrsFoaZNlk%2FfTbaJFSenDQjlrnS6XyW1twOtIplrqLzeuZaEfHYJKq%2Frj%2F5t8pdueG5kbsG25Hfpq50%2Bj%2Fe%2F%2BtjA%2FbXzF82%2BdmN88r%2FevSPL3Z6ftEjj7Yds%2BJ13jSzsaHnpjbt7h4Uvrdr2aAH%2ByzaXLm4R1W3O7p2KO71FCCkX%2FuG7BQrwKPWJlwu3jPioEKS1%2BC0OXtFLGGbVeaCkj1xU3kqIVjV5ONWqo52xVGXhtxKNuHyEMcdA5NSJuSy17ZurRiBXdlrw2vN8lyzHQeQZdU9%2F83mRWePngiAsIOvrjKhElx8fh86ZZPJ4DS4PSaz2aZzWdVV7TFqEbMS%2F4daVmW0rJcrhBY127EvX9TPNNQl6UP7Z7zztlAZLeMO6GMSvnpozV2Dj54hp7RcjgiVau%2BHAQ0ms6hHK6jhiJZl%2BNX0NFTicIYQt7ER%2B76ptuiMte%2FtYyP4oI%2F8o0cx9iPtrx6K5UpSgI%2FWinsblz4lNc3rsZipYBZ0yQ7ubnTuxCyYK7c2A1U2Z2Rlk8LhUHSq1BmbsoRPKeSfcBbp2qSdPsY%2B3jNxsk5nLHCcaHqjg0snBF7dzc6QBZ3OvHR%2FdK5QyUaz6j5l%2B4tJbXTp7trW9eRvHClACAIIOpXGzLBdFiVAUWlxQZ3RLaD1pnQ4ngmjmhUfYgteQT9m%2FJktwFVH2Cn27hFSQLxsGO6IfhU9jUdYD0AgfL1LfHw3z%2FsVMqnHK5jB7OBLO0UHfIJCVam1GRJo46KKOdrSUrLvuwFOnfnuS%2FtYTsWfl%2FStKu2xq3cXzuCVn9wf%2Bpn87mrGy5vtC03HtkAsZ6YPCZW3yJl7RUQr6npF0P2%2F5cz0oeZ%2FksHR0%2BTL6D5y31Q6eN685sPxrixetlPl5%2FYlJxu9AFbZRbmnpqlpTq09K3F7TdV%2FbpXcPJZTfEtxCddDvj7d3EK4ZLfHjedrpx794PFH58%2F49MClCxdM44aRZaRxE%2BaPjywnw0Zg4ebdS6Xj7NzZoCl4FhAvMxuZrfluorSo0RSABN%2BtlHzx8nKeJv3cDAiV7Ijaw5Oq4OwWDQ4H8UFqqsXiE2laujso0QScEzYFFXSDxYr7U7DPVNCV5Dj2pcRw4eKhDx%2BZ%2F9jjp45OnvHwVFIePIvB49LSPRvZ%2ByPvJcsjvOq5cRenZNg4zJn2qEvdpyXVQg6tAS%2FXAzu1JvkcpuoIdVglCaojEuTngS3pjfw38rSkOlOZT8nQVNOmbD9lKoU5HFg8t2TMUz2mRrqPyi95omTcisrHK%2FsMJSfuLFn%2FUKvsVinhsvqH%2FRkZSeoOPFuKdcJwrcuYCALV8343AGpSu4xtNPOWXcZcCQNO1%2FXt0PNKk%2FGszp3Ly0IVZPfVC2Lfxb3C5ZVhQDjK7fd5dVemazjNozNTahCARxo62irVJxKnwUz4SzDKgg%2B07k9ljt9sw2apra1KOJCldLR6NAOuqD89OWHNwpPHcdniPisKChY%2BtHv7My8sX%2FFdifTO%2Bxlov4LNXXfvoH7vstCH5z462QkQypUYSDzBpV4Zzk5y6s3mZI%2BdGD1OMS3dlORL6h%2FR%2B3xOcNr6RpxJIPa5uRWkRdPQzZ6Nm29lf5Lfinl2ypuduEqQxqONXTatnD0HG9jQblU05erVU2%2B99f%2FEEzUL%2B%2F1uGTs397MxS%2B7YtDz%2FxwtzsfO%2BU4psZqMkeIVtnHNByAibW0GmBSxtctLd7iwZeNSYn1gJchaVBku9il8r9co82Ja9clCxDnKwNLs0IXQ6VLV4%2BOLx8%2BeOq7t%2FUVXVgmF14%2BYuGrN42MKqeVtnzHh627QZW8mHj01aNmxh794Lhz059ZEFD%2FCHvfj7JZN%2BN2XbM1Onbd8BiscDEJT9Fw8MDrdzWGSj0WYS9URPTS6LW%2FYmGSwW2So5HBScbqsz3UmsTqvThG7JlATlWg%2B33RHrzL7lpjuGUOGj1uaovjBEKnH2HjYCJfY6dmGv72BvYGd%2BARu7j1wgZ5vZ3Ma57Ec08RslQBKsgaxUVYkkUR726QUqUDlmFjgmiYqtbgjFLYRiI5p%2FYebmnxVpXPuF1kupUABdeGdcdiE4pdy0Dj5fmkmCgNS13E07lbRqK%2Fn1%2FmCviN%2Btt%2FWK6OGGznh%2Fs4t9I39VVFmLztSUlwuwZdCiRC2l%2FKk33lG0dHD%2FqprTbw5%2FZmTxqMV9Z8yYvelw%2FcCqjf%2F%2B6K9P9H9t4KLl7R%2BcvmJR99W%2Ff6Ggbs3LPQbRnMF1WW0mD5q1NDW4IJjSKdy5prTH%2BklDl%2BfctXrZxm5rs9r27dWuY8e8oqHTRvWb0MVZPfnuKWXOMUCwWLTQ8eKH6u5TWpiTanKAI8lnpW495N90QCAhzctKeI%2FFxVnZpaXZWcU4pzgrq7Q0K6tYnFrUrl1RYUFBYfwOQGEM7xzvEdt5hxKeSwWDXmrNT0936a1esbSDZAKH1ZRuIuCwOYjJYXKk5AWcoRQByhNPBdhblgFRMxHuG90bnN2obu8KDjc3eYHM1py5DiFU2NqhNXTQOXMWz10weE77sRWvffDZq0880vHB5vXv4PB3les1tv2D02z76xP2YNvdezD3pT3s7N497JOXhMCeTTu3t%2F2dq9X3n575qfMjIXZI%2FQ7b%2Fu6brOGD0zj0rT%2BwD%2F%2BwB3P2xr8GQKCCushU8W1OdzqUhlt5pRQDokeJazP8rQwGh88D1EYJNTvSOakf3feGku9qVGpqG4xTV8ojfbXWGSt18iYUtdZJXEnDlt0%2FedPztWvHjM%2BbtnB%2BHauecmLUlAeov2bk6HHjJkhCcGFoRIcJs1jnI2OaCgRBqd8NhFraSI%2BCBGbICTupxI21YNTrBbMkWKwmUYegHGS5WbPRiyhjVuw2EAfPVEriM1kjLsUhtexzTK9lO0kQ1%2Fdk29mzvXB9yo23qh9EHfeDXhAhJWwiKKAki0J1RCSQr20nattixUJOXfM71Bv9Hhc%2BCdeuaV3LRAIbAAjXdUoX16r7wqGgF3iOLui5Zpn1JodXKu1gsnFoi9Pi0DmtjnQHAR63E4fT4bythikCCP22ZKVVoUS%2Bhp0Bqm51Fnr%2BL2UjHz5YPXLwfRNx36B%2Bl3eeXrwWxYbNVy%2F8n%2BpGrtwd7tNtSfXsNFaLo9jTdPZ89ub%2FpXB47YrkEiRpzW3r%2BoJ09UfBJLnmAoG5dBi5LJ5U83Z%2F2GIGp7L7nGwzHPNQhS3J7yWaAKe27LkytvA6c%2FfPn39g4Oqa%2Bfun195VPX3qwLunC2vmH9i%2FoGZlTdOCgdOm3l0zdZoiv%2FGASic8yQYLAMhwBiA6Q93NqCLLub9OUmpcstOLaHGCwAsItnQvZqjyadHEUVx6cz%2B0JMt%2Bsjy645vIQH91edGont0XbPj9msiaPXiIVI2%2FNHhk35IePbMLh0yeP6V6%2FZPPA4KflKlzBqAsnGkVRaCONIPUOstxn%2FMhJ%2BnrRKMzxUmcTl2yP92s88eVhKvIfTe2KDHRmKtlyd%2F2PpPpA3vsPbRzw4w1sz%2F8snbmA6Or7%2Bw%2BpUPP8mXDl2wVvqx%2BwJu%2F%2FYmVHWb32L5q0oAeXXrkBYa2LZl5056LnkfvwhP6xD0X5YAIN3pyAOvaT85494494cnCD133dnN3O1oEqNZDegiV4IHicLJoMOhs4HS6dC6%2BLeC2ulLMRKks6LWkMWHX6XqfaELKyMnTOhsGs13PNCxJNkz%2BZ%2F0Qg6GhAeewK698pKaNLwyr2caOScrsU1mzMEJygRWCYYcgIoBopDa7TidSq4jaQa%2F8RJkG7MortqVTEvILI6Z9PL1rzacn%2F%2Fov0pY1S3t%2FraYhx5WrKDBA2ED6Yh0dqvitsEECMJuofkCEQsyAJOqq2jzatUOseZR82L1nz%2B7xMwlZzIVNAOBQIge7xQhgUfrILXa7jtog%2F71CzQq3qDNoZYbSkOzBpo31obZtOw24a8BDQx4ubWIXRk7UT9S1Kckrtu%2BbHgSEvqQKP1d3kPleHwFKDSZuX2mGBGlK3sc5EGO7FpnEzw8MXLlQ8pQsvpNv4K4ld9471NP2%2FhFAoDt1kaPi26q3zgo7lONnEnBvHfMfbr3iP964r4XTTjgzJSYsWHJ0V%2F3qF3eu3%2FB8lN07fsKwYRMeGCZM3nHw8LPP7T%2Bw%2FTH%2Bb%2FYjjwCBau4hdsY9BF%2BZRr1AgMrEoJdu5R%2F4fBhELEUxdqM72c5aTGef1%2BIQVnvjPTGxCb3wfhzek01IufGW24c%2BAOIZzq8gnCYLACAbHrsGKMNHNDV6EPR%2FosTBA8ziYuCw7Tjs%2BThseQz2CwV2Ou3PYeV9xMZBVchkAMkvnuAQM34FFf4CxEZ9KD5qXmxUIBBiM2mNMBxSoY3Sba1zpQWwlbVVwCXk5EIqmmhqKj93lzEgkm2zG3tH7IEWecP9w%2B9rGZ4ohslCYnXDUm9MGF2J0ihbnJBfkf59Rs7q4vv9Y9X1ozq9%2BdbRTwPhSMnYbk2zOnXtXqqkXKHH1tZM7NOvw5ip2e0XjzjcWDEhMjB%2FyIz70jFvcU%2FeGRvmVKrdoPJ0bltbq9R1v%2FYaDgTdn4hNzIa84ltA1MLCGETS7SCOQSAGkdoSIv86xGsg3HKMrOsQE6CUQxiaKGmtgtyAkWIwIMNxKIN5QK4xAIk3MIIVnNA%2FfAdPM%2BwIOhPaRNEtuvROycm7kHm7iMHM7wabASUqOtByowkglmHm5an5G8bOiYau9y%2FSAF7vYVQ2zqR5UUeUXdxLDtMT0SMkNXqR9Lhag0cfURpetbZG%2FAvZr2jRHOZSOkc5ztkqzrMIAf55rM9N5VmbON8PqhxBs8aRmyFqoTwG4b4dxLFrV2MQyS0hsq5DTACHylWC%2FhhXgUA%2BgFip9id54Z5wod3t1glmAKcgCUk%2BrogS11erXC6%2FJJ%2BWL8jcIsuyoNfbqiJ6Kri17tNEXW55EDWhHZV7uVhLarxnM5QhVqpNqbM3bcJ9eBf%2Bbn%2F07S9xNlt4lIyKtaWSunqyntWxHSQcba5nhhhNYrmqS%2B3jurSmJdWx7jiVLwUx3sKsmLb5bgdRi4YYhP92EMegKQaR3RIiX4PgeGy65RhZ1yEmwMdxnW4b5z7CQrQJJmEDGMEX1st6ino0mXXgy0%2B0x2rMHLeOu0ewbTh8BHua7RiLw9m2MThS2DCa%2F3fbaLyfPTsaR%2BCIsWwrAOXzv877434CJ6RAQFkZnnRvmsAPExtcAA6rqFMCF0%2Ba32f2945YHTpRoDazQHnjnES1lrm3%2BFq4%2BYgL%2Fygm0lglwc7fxSoM1BZEj3qKzovZ1zsLv1479tEH9ykddGe2jnx04rGmh6Mjpu%2F9zy%2FNwbFk68SdWpPhmOUDNr2FDyl9dMMXV699l61D26bmvgOVZjp2ZRN9qTc7xVdOrI9LlUxpXLoVMfk7Nb7fDFELp2MQKbeDOAZzYhAZLSGyrkNMgA3xlRNMtEfCbHWUTvF5CmKjOFSQeO%2FfrHjvH9%2BpMOtFUbKDBB6vWeALiC8fs96sl2LdkZoVarkRrHVH8v9lCDcaJGexM%2BzzQ42NZ9GHnuYrO3mL5LvvUdvFy4zXWq%2FB6ei%2FV%2B5Y9yQAqv0oW6R0aK94ppxcMTUAXpMJUu25YkGhw5Hbrl12RaQd5LrV3S5tj%2Bvm0xpaZCBL2vZIQjWCo6Q2%2F2lnOTKUqE%2F1UYJv5ZAOKb36Lxv32p%2BOTCrfUnn27ofnjujZq094yVz2TcPf%2Fv7%2B58IPi6dX3OnPyC0L3b917LZdPTcF8w%2F0mVQxcHZN%2BcTisqHF1YMuXO0r7Nv3562c52pXkOTnPL8TACXovgLUVWlXOH6L57V56vN2t3t%2B7FP1eajFc%2FGz689fe%2BUW3xc%2FvP58whegruiOKsCNGRZehzj%2BcwyiTQwCqAIhKbtXOVDENWdkOJQLre3tedlIaF%2BWlJTe3ghi5y4pbYNtKyK%2BAqGgV6RD66BdECyZQU%2BxzqKriLgsNtBaO9R97viBxZsNL1corarUot3Jy%2F%2BqHSkOv7bLFExMz5TiAMaaVIb%2Fwg7NmPnUc0VVb4%2Ba%2F3xO8a6Hj%2F0reqcOO967tWbwurHswpy73lz03Mt7Jg1ZtfPpwzvoK7OWGon8BOY%2F%2ByddrEUqp%2Fie%2B4eMYP%2F9%2ByRWGwjyVpav5k5sXH9%2F5MVNo2XdQ6Sw4ektO5V1zXc4lW4kzreeMU%2BJFaqnVDtxVIn1ikl8vyqRVppEbn5e21993vp2z4%2F9rD7PafGcS1R7PsEQk1d7TaLX%2FgqAo9URXolZHHYXKGOgqI3xIgApTICovZYRgzDHIa79iUMMSoA4xl6IQTg0iG84RDrHQ4OYwA4CqBbHZ9d89VRlx1zyq6euqsJ5fsnUqhXwYN5jsTttkj7YRp9eETFSj91nsfLIR0%2B9LqSttY3QmLJw6%2F3b430QyITiIlAqxdlBMcj%2FlHpUk%2B6gRVqnV4kwil39%2Be%2FsK5T%2F9sUYXdkp9n3vr4YN77ll3OW%2Bpzc8v7NpC3vppe0vPUtC7Ev2FzR%2FcQmlWcInr25%2BcGHXgtrefZ6cNHMlm8b%2BtaaRbXjh4Aku21jXgbraqmOrzaLyJC1RNqNUrt0Vk%2F1HquySb%2Fe8drD6PPN2z4%2Bp45Ngi%2Bd8fu35a9%2Ff4vtcJtrzCSkx3Wh3fS2Ph2YhR9gJVO1CD4WTPAaDTSACKjsZTifKZjMqJ%2FQQ8tX1yhOfG8nPjUN6iccXE96Pp8ejezqVFHXsFCrqot3J8iefZP%2Fq3KW8Y1m4nPwYfwOUY3tEGCUsjvv7PvxEa3orl8vQ6iZn76u47uxt1M%2Bb2Kjnf3P2ZWVxBdGcfXw7QXSpTl4Si1SnX6L2X2yaUjNt%2BDw0Xd40o6Z25NzmV4rxTJ9pvAljfYjl95r63Iuxboyetf0XbEBQGjL6zuy7cMOvu8aRRcWffLRjTHRO6DzXjNjutSq5e2KSf0PVDI8mmZuf107VNOfWz4851OeBFs%2B5ZLXnE%2FyxtZarrfrYDqw6wr2xGWIjpKsAWu%2BI2t%2BVyXex0jOkFJfNZpfsrQMOsKeYPHqqT%2BNdjB7q5euvRZPnb3oYUWsXUUomXo%2FW9JUVbx7J4HugOKR748Sz333%2Fyd8fMwk63mSElTs38OYRzF9LmyID2Efsvwpjn83sV86KdcDaFQ1NOXQi58u3ce%2FZMxo1nF6Nmgn7Y%2FTmxejV%2BpuEyuv9TaJArLfsb%2BIw6gkU6UvxFLggHe4Ot0uSrE5nKpjtqZKY4bc6eDxpBaOR51hGGj%2BVwg8UUAc4b5zk4det2ia1fWVJO2TlvZF9aafq7NnSl1EYN4y9zJ7BYRgeN5RaonxdR8%2BRfs09fmXXEH%2Becs89LqzDiTgeF3ljSZmwlZ1m55QTGn6hNi32qy1yujAU0iAXCmBQuG26zkI8nqx8t7tVlk4oDOW1Mbbh0RHvSCKixdiunWg32pIyxcyKCIieFj7YoVjVRAeseV9R9a0q5rdyvYktTFkxnyvWs%2FNzup6pu8B%2BROnrBae6djz2%2BInL0aAOq4Y%2Fe8%2BQDVf9G154buPm5xvWCb3mrjKRjN%2B7vp4xEwtQh3q8Y%2Ba0KbPYz19MYDO5tw1mkLIPz3985rOPP%2F10x9NP7wBEE68Q7pH8YFF6wGWwWXmN0KJs3CSfKkwsE%2FIgzx1QzhIE0DR3nLfB89CcmUMWLuFF2u%2BWPJGTu3C%2Bt3TBoiIAgpP5iG2lhdp%2BkEMyxSpMejflw753u9KSrHUfcfpp29njxj46a8zY3z3YPRTq3rmsqJu4b9TM2lGjps8c3qFLlw78AkQdn%2Bk78TN1N5wPn%2BSzg2gC%2FnKrZc73En4mKLYb3o4vKU6BwvQ0olRTQpJEXXkDB%2FTOLAxZRpmn39tucP%2FKjIL21tHmqcL5rLZZnbvMquO3Tl1n1aldEci5Ff%2FFEyCCePMvngykw%2BK%2FeMIh5f8VUtYgffQ49lB7%2BR0HUNTpQenhP6WBBkscHEs5y%2BQZ1WF29yx63DMUTVyicNM3RdTpRZly061Rq55Od5RisXIk%2FbGKDPGARzmLjqmfcouq%2Fe4LkcAKAEQZizSpY1khOWwS0KwXbHbQUZP2M1%2Bx3pUgbyrhA%2FvjeGG9tcNjs9M6maNnb2B4FnXTeR1Tw7TF6DZldL0ZRcHuMIs2WRn9LW10DWe%2Fei9JQJ4ELUkjOsxJ7m6%2BQYbnXvbTY2Ow6D6FHh%2F7lTTBZZSVLOtqB8g4iCCHzeZK%2BdC1Y38ymWJ3vb5SBnteXszG7cAfyXB6EYzgPBD%2FURrIP3Wr6u%2BOqQ9OmDF94qRp5JtZj%2F9u9sx5C%2Ficym8TiHvgB8gGOwAEwU4c%2FM4nELJA1RaoJelK5ZPTbBAIlYikk0WuCInpvPM3e2CJ%2B16ASv2UpGqjUBAIkMRRWhRNSeqtK6QAyGYBkJXxUyYgEkE7ZYLxAQJIVjbPWkkXx4%2BZIJRzr1gnnuT0TQ2Xp3rTPZ5kI5Hl5NZ2wZDslYJtjN4kb%2F%2BILklMTUvtHyFp1rT0tPw0qqdJaUlpzsxM6BvJlJ0W3iDhg5ZN3bwwdMsfKruRW2ZQbuRlt9evdcorVpPyolGwuJT%2FdUDsCHUKOz4AWfRHQvA065Z1snHLxtW7%2FoddaNewgZANO4LY%2Bn9OPN%2BrQSxmD80rC7ed1%2FRm9%2FpuaEacl3tH9TwUsfXIpYPVzprl6o4iBXdYT0AUtDAtYc3y%2BEuJtrjkUwGEVlI650ylKvE%2B5ABA%2FHNTwuf9lc%2BBgItUcf0%2FAgZwQedwuks0ypTyaYjSqY%2BiqLe60l3E5aIWOZ1mxPuV70toergeGwR4g0v8V2eKi0otVJZJ05xV7GHcsHQO%2B0ESk9LSjDup6913x%2FKzVKdeX9THFGzb1v5TDDfpQ45bECoJ9%2B43cBcf0nCXXr%2FF8%2F43notvxJ6rVEnqc1TWG05X9cp%2BAAQRKWiHl2Knck80KgqljCAC4Aq1QvJpPHP6XaxCImp1FiUv6pwAUXstt2Ud9NrbHGJCAsQx9ufEKktsFtJBzroOMYF9EK%2FV%2BGK1mv8PflNJUQAAAAABAAAAARmahXJJOF8PPPUACQgAAAAAAMk1MYsAAAAAyehMTPua%2FdUJoghiAAAACQACAAAAAAAAeAFjYGRg4Oj9u4KBgXPN71n%2FqjkXAUVQwU0Ap6sHhAB4AW2SA6wYQRRF786%2B2d3atm3b9ldQ27atsG6D2mFt2zaC2ra2d%2FYbSU7u6C3OG7mIowAgGQFlKIBldiXM1CVQQRZiurMEffRtDLVOYqbqhBBSS%2Fohgnt9rG%2BooxYiTOXDMvUBGbnWixwgPUgnUoLMJCOj5n1IP3Oe1ImajzZpD0YOtxzG6rSALoOzOiUm6ps4K8NJPs6vc%2F4cZ1UBv4u85FoRnHWr4azjkRqYKFej8hP3eqCfDER61uyT44DbBzlkBTwZD8h8%2FsMabOD3ZmFWkAiUs5f4f2SFNZfv6iTPscW%2BjOHynEzEcLULuaQbivCdW5SDNcrx50uFYLzFHYotZl1umvNM1tgNWX%2BV%2F3gdebi3ThTgVEMWKYci4kHZhxBie3TYx3rHbGr%2BPdo7x4dIHTKe5DFn%2BO%2Fj%2BW2VnE3ooW6isf0LIUENvZs1gf%2FLHojJwdpplCP5gn%2F5gi26FoYa19ZVFOJ6Sxuoz%2Fq2Ti20IKVJdnqvYJwnhfPH%2F2f6YHoQF30aZaK9J8T026RxH5fA%2FWPW%2F8IW4zkpnIfoFLifGB86v0ffm5nbyRs5iaHR3hNBD0HSfTzoPugRM%2BhdN0x052KoHLBS0tdgpidAiEesDsgWYO73RWQz2LWIwjqnMe%2FuYISQtlbyf2NlT9Q9PoBcBnrO6I5ELoMeyHkNnIXGdv809H%2FDXNOTeAEc0jWMJFcQxvFnto%2F5LjEvHrdbmh2Kji9aPL4839TcKPNAa6mlZUyOmZk6lzbPJ3bo56%2F%2FCz%2BVaqqrat5rY8x7xnzxl3nvo%2B27jFnz8c%2FmI9Nmh2XBdMsilrBitsnD9rI8aiN5DI%2FjSftC9mIf9pMfIB4kHiI%2BhWfQY5aPAYYYYYwpcyfpMMX0aZzBWZzDeVygchGXcBlX8ApexWt4HW%2FgLbzNbnfwLt7DJ%2Fp0TX4%2BUucji1hCnY%2FU%2BcijVB7D46jzkb3Yh%2F3kB4gHiYeIT%2BEZ9JjlY4AhRhhjytxJOkwxfRpncBbncB4XqFzEJVzGFbyCV%2FEaXscbeAtvs9sdvIv3cjmftWavuWs2mg6byt3ooIsFOyx77Kos2kiWsIK%2FUVPDOjawiQmO4CgdxnAcJzClz2PVbNKsy2ZzvoncjQ66qE2kNpHaRJawgr9RU8M6NrCJCY6gNpFjOI4TmNIn36TNfGSH5RrssKtyN%2B59b410iF0sUFO0l2UJtY%2F8jU9rWMcGNjHBEUypf0z8mm7vZLvZaC%2FLzdhmV2XBvpBF25IlLJOvEFfRI%2BNjgCFGGGNK5Rs6Z7Ij%2F45yNzro4m9Ywzo2sIkJjuBj2ZnvLDdjGxntLLWzLGGZfIW4ih4ZHwMMMcIYUyq1s8xkl97bH0y3JkZyM36j%2F%2B58rvTQxwBDjDDGNzyVyX35Ccjd6KCLv2EN69jAJiY4go%2Flfr05F%2BUa7CCzGx10sYA9tiWLxCWs2BfyN%2BIa1rGBTUxwBEfpMIbjOIEpfdjHvGaTd9LJb0duRp2S1O1I3Y4sYZl8hbiKHhkfAwwxwhhTKt%2FQOZPfmY3%2F%2FSs3Y5tNpTpL9ZQeGR8DDDHCGN%2FwbCbdfHO5GbW51OZSm8sSlslXiKvokfExwBAjjDGlUpvLTBY0K5KbiDcT672SbXZY6k7lbnTQxQI1h%2B1FeZTKY3gcT2KvTWUf9pMZIB4kHiI%2BxcQzxGfpfA7P4wW8yG4eT%2FkYYIgRxvgb9TWsYwObmOAITlI%2Fxf7TOIOzOIfzuEDlIi7hMq7gFbyK1%2FA63sBbeJtvdwfv4j28zyaP8QmVL%2FimL%2FENJ5PJHt3RqtyMbbYlPfQxwBAjjPEN9ZksqkMqN6PuV7bZy7LDtuRudNDFwzx1FI%2FhcTzJp73Yh%2F3kB4gHiYeIT%2BEZ9JjlY4AhRhjjb1TWsI4NbGKCIzjJlCmcxhmcxTmcxwVcxCVcxhW8glfxGl7HG3gLbzPxDt7Fe%2FgY%2F%2Begvq0YCAEoCNa1n%2BKVyTUl3Q0uIhoe%2B3DnRfV7nXGOc5zjHOc4xznO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Z9A7%2BtETl5RXdNNZGDm%2BvXYXWjgLDRzEhoLBAYv0%2F0NHAAAAAADBQ8CvAAFAAgFmgUzAAABHwWaBTMAAAPRAGYB%2FAgCAgsIBgMFBAICBOAAAu9AACBbAAAAKAAAAAAxQVNDACAAIP%2F9Bh%2F%2BFACECI0CWCAAAZ8AAAAABF4FtgAAACAAA3gBY2BgYGRgBmIGBh4GFoYDQFqHQYGBBcjzYPBkqGM4zXCe4T%2BjIWMw0zGmW0x3FEQUpBTkFJQU1BSsFFwUShTWKAn9%2Fw%2FUpQBU7cWwgOEMwwWg6iCoamEFCQUZsGpLhOr%2Fjxn6%2Fz%2F6f5CB9%2F%2Fe%2Fz3%2Fc%2F7%2B%2Bvv877MHGx6sfbDmwcoHyx5MedD9IOGByr39QHeRAABARzfieAFjE2EQZ2Bg3QYkS1m3sZ5lQAEscUDxagaG%2F29APAT5TwRIgnSJ%2Fpny%2F%2FW%2F%2Fv8P%2Fu0Bigj9C2MgC3BAqKcM3xgZGLUZLjNsYmQCsoGY4S3DfYZNDAyMIQAKyCHTAAAAeAGNVEd320YQ3oUaqwO66gUpi6wpN9K9V4QEYCquKnxvoTRA7VE5%2BZLemEvKyvkvA%2BtC%2BeRj6m9Iv0VH5%2BrMLEiml1XhzPdNn3n0rj6%2FEKn2%2FNzszO1bN29cv%2FbcdOtqGPjNxrPelcuXLl44f%2B7smdOnjh09crhe279vqrpXPuM%2BPbmzYj%2B2rVws5HMT42OjIxZnNQE8DmCkKiphIgOZtOo1EUx2%2FHotkGEMIhGAH6NTstUykExAxAKmEqSGMFl6aLn6J0svs%2FSGltwWF9lFSiEFfO1L0eMLMwrlT30ZCdgy8g2S0cMoZVRcFz1MVVStCCB8raOD2Md4abHQlM2VQr3G0kIRxSJKsF%2FeSfn%2By9wI1v7gfGqxXBmDUKdBsgy3Z1TgO64b1WvTsE36hmJNExLGmzBhQoo1Kp2ti7T2QN%2Ft2WwxPlRalsvJCwpGEvTVI4HWH0HlEByQPhx468dJ7HwFatIP4BBFvTY7zHPtt5Qcxqq2FPohw3bk1s9%2FRJI%2BMl61HzISwWoCn1UuPSfEWWsdShHqWCe9R91FKWyp01JJ3wlw3Oy2Ao74%2FXUHwrsR2HGHn4%2F6rYez12DHzPMKrGooOgki%2BHtFumcdtzK0uf1PNMOxwDhN2HVpDOs9jy2iAt0ZlemCLTr3mHfkUARWTMyDAbOrTUx3wAzdY%2BniaOaUhtHq9LIMcOLrCXQXQSSv0GKkDdt%2BcVypt1fEuSORsRUwgrZrAsamYJy8fu%2BAd0Mu2iYFhexjy9FIVLaLcxLDUJxABnH%2F97XOJAYQOOjWoewQ5hV4Pgpe0t9YkB49gh5JjAtb880y4Yi8AztlY7hdKitYm1PGpe8GO5vA4qW%2BFxwJfMosAk2X9n9X2cVVfnA36pzHNHJGbbITj75NTwpn4wQ7ySKfAu9u4kVOBVotr8LTsbMMIl4VynHBizBEJNVKBAfMNA9867j0InNX8%2BranLw2s6DOmqIHBIbDfQR%2FCiOVk4XBY4VcNSeU5YxEaGgjIEIUZOMi%2FoeJag4mEB3PUOweCaG4wwbWWAYcEMGKn9mR%2FsegY3R6zdYg2jipGKfZctzINQ%2FvxkJa9BOjR44W0OpTKAskcnjLTcKyuU%2FSVIWSKzKSHQHebYW9mfGYjfSHYfbT3%2Bv877XhsIwGzEUaleEwITyE2u%2F0q0Yfqq0%2F0dMDWuicvDanKbjsB2RY%2BTQwOnfvbMUhiNPFyDCRwhZhdjE69Ty6FjoOoeX0spZz6qKxxu%2Bed523KNd2do1fm2%2FUa6nFGqnkH8%2BkHv94bkFt2oyJj%2BfVPYtbzbgRpXuRU5uCMc%2BgFqEIGkWQQpFmUckZe2fTY6xr2FEDGH2px5nBcgOMs6WelWF2lmiKEiFjITOaMd7AehSxXIZ1DWZeymhkXmHMy3l5r2SVLSflBN1D5D5nLM%2FZRomXuZOi16yBe7yb5j0ns%2BiihRdlFbd%2FS91eUBslhm7mPyZq0MNzmezgspUUgVimQ3kn6ug48mntu3E1%2BMuBy8u4JnkZCxkvQUGuNKAoG4RfIfxKho8TPoEnyndzdO%2Fi7m8Dpwt4XrnSBvH45462t2hTEX4Bafun%2Bq8jIzK%2FAAEAAgAIAAr%2F%2FwAPeAF8egd8lFXW9zn3PmX6PNMnPZNJMRRDMkzmDYgZMRRDCEmMMUPJIgZEepHlRYyIiNhRUdYuS4ksy9reLDYsdOmLLC%2FLy7L2CgKrrCJkLt%2B9T2YyYPl%2BD8804J5zT%2Fn%2FzznPBQKbACSTvAEoqJAdtUhUJpQYjBJVAUrKSkIOJ1ZUOEKOUGkfV8ARiPB7E72m87WJZF58ibzhXPVE6QsAAnMufI4H9XXsUBh1UpOJSJLmQNWqNsasLkKhsrKnA%2FT1HCF9PQzSAPYtD5V5PW4lmFeIK86EcCRbObLp2lGjGxpH4%2Bf0wLkjjU3NDSNGxYSMxbSdDkzomhE1SypQalCISvniob1lDuTL7injC1O%2BMr%2FxmeJtxeRt%2FiJviJ8mmrjFOr0BJCZ3QAbkQFu0ypCZ45HcRqNJQkiT%2FLKsOO02s2Ryudze7CxVUnw%2Bv9%2BtmKTcgEEymzPRlgN2e5rHaeOXyeeiisnJFagMOSsqSkr45kL8Tr450SfM5%2Fy1V66pGvBwTV1BcYcDEX67QjQkbo8cigTplyVI2OHh%2F6zdXHO4%2BiR6SjoxMPzo8O21h2tPx7O2lmylNV%2FtY5Nwubj3fXUA%2F8BuFveBr74CoNB84V6pSnFCLhRCL7g7OijfR7Oy3FalR49AcXYRFBnsQUcgkAYO6H15j6wiAGu%2BI%2BAo6pleFDAWKJZMX%2BaImNunWOpiskIVH796ewAqEzvV9gqX9nQ4Qd8S%2F1V%2FScSM%2FrmsTP9FfNUNIvzuVlRPMFxY5PB6fY6iwsJw3%2FJIOOTx%2BlT%2BWzaR%2BxYWecrR7fWFFanqi%2F33nnn9%2Bv%2BMvXr7mk933%2Fv5Gy3PrN6yZjg7WFV1D5s2oGoh7nx%2Bk2vvTrkeDT0HKlieXvvakkfecj%2F5uKnhm6iNHRk27a6bevTL%2BclH3ulVkX3cBTJUXjip%2FCDvBiO4wQ95PB6qo%2Flen0%2BWTRpofo8nLa04mB3UgpeX5PbMLEzzKz4%2FtapOlXt5a1llpXhN7FF7r8zJ37o%2FiN15Q2XhvsE8RdajOqwFyrwFGETXr%2F0F9u9dNnZsWW9869X1azow9qe%2Fkpc7D52mPRf%2F%2FHcJFrR1npvf9sWX336EO7%2F9x7lqeUMn6frt8y%2B%2F%2FZD%2FJjzecOGEAnxvWdzjpTAzWtHbGjRhlhdMXqvLVZSWnl5kpSoChLJVtcwXSPea8vNLSrT0dEnTegyPaZIUqIlJLnSKhAV%2FpfBuhb9EbE53bYVIM%2F3S45hfiZ%2B7th8IFPHN5QuXcscms1vF8kiAZ2qBsEEEFQX7FnJDeNy%2B8nIF2JLZ7%2F77DPtk3rJhVV9vefPD%2B57CzCF98cr82%2Bs631s4%2FvbxrKPf1XjT0Iqrh%2F%2BuafTMxR%2B9e%2B%2BmxqZnxzzx5l8embstxo7PeX0Ju3DjoqYJA7C611hyd3hAtH%2FzpD5jAAVm4DM6Zjj5C5WIAIu9DuxCIB0kuvEBAKGBbSTz%2BL%2B3Qm7UZjaZqCSBqtrN%2BVQgmAMTua3joeaMhBTicTt9wULS8PSj5x58eNk9Z5c9RUrRiPte3MTKzvyHRd5Yh9vFygP4yq3JlfmyfHG%2Bso1LyP%2F5yqgRNVjuDPclRSGvk7Q%2B%2FejZJY89%2FOA5sTT7ifVb%2Bzru%2FOEM7tv0EisFhErSJGUpbrBBOOo3ms0ypVZUVc0umUyqilarYrDxpN1aJrKQuykJwvwz%2FyPMUOCTXSqlRa6CiEzJy8U4J8DWf%2FjpM%2FeeOMZeLMKpxYqbPTyx088Oz8MKtnMuFqefm4gzAKEZPpUqpG1g5qivGRSjkSKAxWo2giJRKOFCysqS4vjNhQXCAa4Bxz1HEI%2ByNlx0FBextqOk9SjezW49yhaIHbGzuBtOggKe1wgFWVapDCXbdSNt5ghfoNCgMxLA3X1v%2B%2BdV%2Beg%2FvIsdR9MJYWVcS5rISqDg%2BCuVQQLkSiTc7QoHPANIGq49dw6wi7GwgmvujZoUrrSRNsaMLqjsmfjnkYu4aU6SlJZ28xECNyqt0mMrM2pBricBidueiNS5iDcRA0ir4h%2By4yQgGJP%2FDwLVF05IQ%2BW9XLoPLou6LYoTFPCnGT0jYkaV2kfEaBok8y%2B1kkYCeeDQnIEyQI2nUrlDE3kkDT3PzsfZhXMoxZHGw2OmTRl7w%2BSpLeQoW8gexttwNi7C6ewO9hD7%2FusTaELr8eOAMA%2BA1nJtTNAj6jJKAAZEs8WgqihJRgX9wJHOkYoXkf8iwR2RiKKqRRiitWw3lYdnr30cDzNae%2F8Tw%2F1L3sS5gFALINXpKDQgmp1pQxW86M3O8aoqMTlNtTGnSjATM2tjXEgCYfS3hKyuCkFHkzBeScI6WKhFVxLuD%2BEQLt4TkOo6CU5f1drrhvrrVly%2FdspDayfe%2B8EtQx7fuJG0HcbZLyyc1r%2B5qXbojtE1xa0dt4x%2F5c31r9hA6MYtP5DrVgijoiV5Po6KKs3MBOCVStFlgez8bG57v8%2Fvq4tZ%2FGilfr8pX7VqJm1EzJQGeg3j5%2FxX8ruWMbrG4oduFyXxMEFyQlkpkMeJTvhKbCMY1j%2Fo2ykPlEmSr335KxvYPvbZydev29P65KNrX58%2Bc92zfxv6%2BKil76PnU1Sl6fe%2Bl694%2F%2FzIweMjUO1ZPnH2TU3fxqa09%2Bl%2F6OHXAQgEAaSZuhddMDiaZ1epkRAzpTKAxyVzrnGh7JLreGi7qF1VqO5WvoGQ0DwF584uo3cpz4sCBzc9T9SAQPKgoqI082X2QfxhshCzXmZ5Jmoo6MvOYAk7gCWH6cudN5%2B98oSroZZNBoRWbuEw1ygDmqI9OZ36aJrbbTPYqIFmZrldRpdFA27ONADF4%2FHXxjyKYhkRU9LgYsIJ6e%2BpgHAkGUjkgUhLSBg2N9w3IMwpylMaKScT%2Fn6efcC%2BPLN8xActmMGOhu%2B4bH6EpsV%2FyAgOoO0n9%2F%2BHnR2B5h7hr455LAPJ1%2Bwc%2B1i1AYGhXOs6eQf4IR%2BuigYUp8WSlweZTnAWFNpz6mJ2u4d60kbEPGnUwENEvUTbVJbqTCjIAQJlPo8IXEUNdQEJcCAhMvd%2Fgvy8Q3E6TmsbErv%2B%2BZ2tRuuN%2F7f1X%2BzsNyv%2FvYhoN066sbVlcRuZiq%2FiWvuP7rEb%2F7LuhyPfsFPLMffdxfMnz7%2B1fu5qEc0RPdM6QIHLo14FgCDKRFYNMiWU1MaoAsLfupYpQwobhpDby4OfkoJ4iZQWPyy9jNLm8wLSdEtUyzvBB3lwOVwbLXYqnl6U%2Bo3%2BQo%2FHnp1ttBtL%2BihOZyBQXGwBS0Z9zJIGwfoYXGwTYYlLnVeWdKFwoCSqAj0%2FLqoW8qk7kShFiku3kK9cfCPVHyDedt%2FqpeyLL06zk4uXtU1DyfXfE2fPmrng0Ccjbhg%2Bflxtq7zz3ZUzXhrU%2FO6sjqN73mrbXD2iY%2FKzm89vbBp7Y%2F3VcwaOI3vqq674XdnlYysH1Ym8GajvcgekQQFURnOzZJfFEgyCCwqLtNy6mKZRrzd9RMyrUkMdR%2BNfdbfu7DIBzCIaw0J5kS16edcXuNOdBXwbyU1J1ewxtvTOqxtHP%2F3%2BJIOl3xOz3v0nmr9Y%2Bf2d8VNjp4xrbbm7jQ5mdazJdtYzasufW2r%2B83%2FH0fEE%2B3DTXbdNum1%2BHfd4stOSZuvMURh1OXnyAPjtnsaYXeumMPAnaOwXTOb4NVYT72PqU%2BxG7xcf6mPNQAQX6%2FIUcHKmcllV1UUlBRXFZdIaYyZNUjgzJ6Rpm8u6mKrApzM0vUgYbrTrbF2SFHbS18Xa5GhSmF5P7JYqZODSiqKajIK%2FVYNEqQIEZRigFxShVFwJURhGD6JU0ZlDP443kvW7ccNSPH2abWFfCns140peoYDeNeZHHSqlRgkMcp00ViJSV30QKhkjagSue7JMQH4304%2FFkrTgKC9Tjh69VLueUScBrhFPNVAUJJTKEur6Ce0u1dCFuorNZH28UayJb2IaDjjNtKWsWmioXPicrpB365FYFc3LTU9PA%2BB2dlqdhUV2QCMFCAazGmNBl900ImaXkg7mVCR4KJVkyfpRJFR5F86oRckaXOFoe0m%2F7W6YevPVY5uWvzf1w3P7vm99YGyIHU4139VjH6ob1tLvqqpxR9u2r5m2onVI9RVXsHUX9eMTLkxQdnCc6AuVEIv2VCsq3G5XOGzt77rMZaWBtEDvNOgN0au8hkhEMg3QTPzqkVUq5feAklS7rOucMleiPU7ivc6kQtuiYCqrfNTdlVF8fxLxCKgtj3iUQC44%2BjrzOa06UfyDSESH3x2j106vnpWmTXnhlT1o%2BUfT%2Fqt9NdGau79%2FZhf73%2BexCP2T2Pz%2FZefZXez6I%2FgIyv%2FEkRs7Yf3IFpM1FG27n5x%2B%2BNQ9Q%2FotPPTGQSQBH%2FPd%2F9Yf%2Fvjjne1sx152gh0p6f3eKHwYW3%2FEZZ93sA627uCCpcfMzwj7AIC8WN4IKljh6miAWKkBQZHNZgqip6CSZLOSmpjVSs0yBZocIpTouZRiZWGortKL8gsDiITjI5Uik%2BLHJ7FXiYTziRJnywoMgWdwNFstbzxXRcbikdvy72CqiPvXAaQznI%2Ft4Idczsm9VLdbktKzzeY83vfZ7QGDlqalDY9ZNLRSTbODPb0mZneCvyYG9BLcSxY9KQVDSTe5ArmSp7voCQYwWfE4HPqnwOu4AyOYNn%2FC%2FfPZh2fjx7C84%2FaZ8xev2nXHraxT3vDKpkVrHaacdQ%2B%2B%2FxGdXTuy8Zr4NrZo3PgNgDCXI%2FUBnh9eKI36VZeLN%2BNWnxscUBNzSKpskmtiJleyNBOvSfVEKuQRD2%2B0Iw4l2BUdoTI%2BZiikBS%2B9h9OfOtrxL7aJvdiOkQOHDrc2tEs72U%2FHmW846xyGi3DSZ3j9azd1FvUDImwoz%2BE2NIBd1OtGAIdVkjTZUhOTqWTlLbMzaamUcEELnGVzAbVA0BHKleew8ew2Ng534wR8gL3Dxq5ZjO%2FxGuQP7A55A7ubrcHDnUMBdY8RLs0Mg6L5BgnAqphMiBbFWBOzKNxLAnII3zehaKqJofOXXkp5iCsitPAkbol0bqDV8RN4ijmIm4tl7zK2BLqkUsalGqFvNN1AqVkBQDQJoSl5QlZS0MVSLhaCX7P9dHD8OHKMEwKWxLu8KBdxL6ZDTbQo3e8nNquVEFemy2DIsGlmjQdbOr9BNkt%2Br%2BzlsmTu1FB3wd0z5VlnstgW8BBwKLpv9YJL5RlPdMKNOALkU1L14E93sr%2ByVfg43vTxgZtW%2FGXnd1vevKGVHafhuOnyAlyMU3AcPjDybB377rOT591Y2mUHeYJu%2FUg004jIzW%2BQJFm2GGhNrMaABoNsUijK3QmbMnfKFN2XPIHtjr%2FNdmE5uRrDZG78Xj5t2EIGAOCFiawBT%2BozgRw%2BbSAGXiPLwM0MRsr79e4NCw4Rxa5IJL6kRnJurq0bOKEZy79hDV4k7gVL5JHn1l4AdgYS%2BtfxVS0wMJpjIcRkNiOAzUBl2cq%2FUrNZoXwP3VtwpgBXF1eWAOXEQAdVfSMRDKBcx1awhYvEZm7FB7CZETKxJf4D39CN6%2FHf8XkJ6VIlly6LPUkqBVCQArccJKJUl6GXoPq6r3PD1MsbzldfSPxvRcyR3dAvmukGo9nI1bbxUPHKisdJjEQxq9QGilBcN36X0mUp6hA6Y9DpEYujXuXykscVRBpkK4wudhzbcaSC07GdfUgtRrZEms9Wzok3cw1WSi3nqklH6R3oPr8kYcedOm6WR9NMYETFagVwUFlRVM1MVW5RVLtHv11adI%2FEnAKwL1KEcM%2FJO9nv43fpSiwh81U7%2BqQGdrQtXseFv4FZvycdQPQ8%2BVKfDHgE0jgAfBZF8RpdNTGjRO01Mer6daQROSBexQQy16Hxpkj%2Bkj3BXubXE3gz1vNr%2FPlDb76Bs9nSNzaSY%2BxxdivejVP5tZCj0mP%2FOYvf4smfoAvtpHU62rkEFkhGowdsNrvdbQXBV3ZNM9TENGr%2FTSzoRn%2FZLXHoEyAo4ckJSx%2Bau%2BBBspEdYacX8yA6iCb0UGXmlKkTd504Fz8rb%2FgchAXYat0CdkjjEZynUFmSCDVIJg9AhmYypVOVEwBXRFK5UWSV22N7Ev4uHU92T9OQe%2BLX7PPaKziWzWZnfL9pJMZW1bO5OPS3LSUP1S3lg9poocvnk0ySppm8njQw8cTzu4wWMA6PAZgtFm40C%2FWaRcikzJbSWfPzuXKqQ0sxKLdfgl3BF0A82brsgaXLW7gB12EPzH7oTqxuZWvZKtp73M0Tm%2BPz4vvlDUeOLdxZwVwPk1KRVS2cQX0ce4s4n%2BRlpKcHICC7LeCGy4rdAbAELNlGX3ZNzCdRYyq%2BuhvwVHHWrRpn%2BIvGGoVFl%2FMhDadWMcJP9LZen9cr%2Bdin7JuOx%2FZeN2FqnzFL7767DtWvZu2f2TrnyermlsJrn977BC7f%2Flkz5g4srx3e8%2Borqypveeqmzf8qL%2F13n8KGgcUDKqrHbRP6FwNIYiqrimdLCgBFNBhVKlHOuxSdv3y2lARgcoLtYrOlOn53IGEMEF7k%2BdXC13JCQdThQHSbDQaX08hRhsdSYuuXVBAOtyLx4BHI6%2B6CYLnlEXbyLfYFex%2FD9zz7BAf0ztqVZ%2B7EwHn6YufCPz33%2FDraBqjXfyHBI2K%2BRonRKAOiVZYkC3BDJ%2Bq9VNpUJOaj%2BsXtVx6h57CC2dmLTMMKdPlKFXO0a4DY%2BdTwvZeN%2FqJLhrqRy8gSsx%2BT0e52yQh%2Bv2ynlszMrKwci9mcnemSzdRvt6NJiOSi%2BEtCbgo1UyM3WkiKOMKJUtMlGvCIi78nPihD2fPbzWFJ6WPdxqngfix9q9Sr9HQdwoJDth5mUy%2Fnm1hKoRixV%2FmpUJxwVT85trLi1EAa6twb%2BaS%2B9uuhNBsStmnSbVMVzTXLnPpUo6oYTYpJ0C2VLGYDkWXJqFCUkhDL9evG%2BooUZ3VpjZj8Izex59h6fnXg56wfNmF%2FDGMtC5Pi%2BGHyHdka%2F47Y4j27dJCYyF2B7wZVlZEQEERvNFFF4QqiSgVDdslOjEH5Z65AarLLowIDZAGWchEZbA%2FLwDo6mozsXBTfQUqoXleVJiZ0RugfzTJISFUVEExmlYuSRP1I0IAGUcZdOgxNpl1qFqqPbALSzPPvkbfjTVJ6vIrs30m%2FRXi%2F0ykkLWUbyWw9T7KjVgXRIIFRJlTBfN2EuvH0BNZX4iUpmc0y8bOPPmIblXMHz60Xa1gA6MDkVFt%2FZIKYnGpfnBa6sUmAHY9%2FmJhqI4S4fJ%2BQL55xoKIY%2BVYNoOZTiaaCvQtCfCFHMMy1CH34IX7GMmfKjQd%2FUoR8AzFIA%2BR3QIHeUTdBWVYkSTznFd6SVJko0DW%2BxLKLeyTRZYcwiGjADQ%2FjqVO8uP6KGOiGzmqyKN4maq1OtpHWXhja9SRIRonoRhEaJZ5K0NrOFyl%2F%2FvMAAGKNdIQ%2BqATAwK1gBjVKRVTIdwCUpB%2FrioP0XWLww7EvHPD6PGRL5ZkqbKpcLx3ptW2gZ%2Fz7GYIdmjju9pfm6E8Zq6OFTovBQvLy%2FP78LIMhaEkbFrNYZLfbPjjm5jWdnDM4JnvBk0Az%2Fy%2BZVYSeXlcUJWdMvMcN9%2B1u8h0omny9N6YT%2BhuGr1r0xzd%2BOr%2F5xbv%2FOn7T8Y9PswO%2FX3znY5MWPHHDsNfXvfono1K6rn7f%2BK3vx32E27h55MJbxwOBFVznDsUNTsjh7BvIojRg1Mw2n89szrWA2WPUFFDSh8QUL7iGxEC7mCz83SHi7H5mUeZ0aISzRVANCgTlw1AfH9d2D8WobftHX%2B7YNsMT%2BhpLLZbJM2ZOJJNvaZk%2BQ5rNdrPv2XH2t6XzFTdbPuiJ9jP3rwh0PPOXNWvWAMLoCyfoMWk2eDi6esRYymclxCubh8RkDexcM%2B%2BlZZJuOTk32SdwmnJoYkjgUBQyIf4DZqJx81Mjh9525cmTzcuHVf%2FBTQZgFvauOZFVwBH49ZIydr4kH4iQK81M2CcaDRi9Gi%2BobTZhqFy7xwIOIyi6fTTdPt5ft4%2BoT4Q%2BecShOXlPGioU%2FBLkji3iOnVPiAnZ9vHnOw9ON%2Fmw7Jv%2B1omT5kyVp7dNmDnLjWVoRx7zq9vG4YSfTjyy5vt7ViWNk9BynD61y%2BDMEKROSUpzOLKcJlOm3%2BOkzuoYFVUUVMesmuoZHFNTel5aloiry3bI3RbgrbNeR4XKwOMJ6AVAxMMtOP2GaQZcT2aVs%2B%2FY3zDt7LdoiJfID985vmNc3Qb61PyZM%2Bd3NmAPdGAahth3Jx%2B789Eel5%2B4rCjB7nSOkgMeuCKa7SZElSn1%2BqwAPhndyHVz283akJgZqJ4bgp8v7QVDiRwWFgxH9KfOeieocBWpiZ1l%2B9eu3bj%2Fufm1o2uv6ocGOq9zCZ23rKHh3ZdLPsoafsVgoKAwtzSV26sYyiEKd0SrzFlZAwZIfRwOUqzmSkGUpIHpPXr4fJFg8Kp0K1jRqlj7qv2GxYy5Eke5wr7FpDpWXFxYWDksVqi5e1fH3BkXz%2Bn4pxIOWz79gRHv0LneqJs2FQ76ewKfPao%2BpSsqEvmsj%2BykQFfCF6ZeRcGFyUQK8v26El%2F4WGzqS33OfxjpXbL2ndc3sTfYvm9%2BvP3WksHVg5tvOnmsZKGTFc2buvrNabOfa5w5%2Fdrrmura10otT%2FceNqZjJ5Xzew187smt%2F1i1bPw9We5Roeh1xYVrZ732vkM6L1UOHVlb2WcEHT5q0qRRuwBhBYC0lmeDB8LRdATw2Y0Wg8Fo9Nolp1MaEnNqJkCjR6D%2FJfU5336yUOPaKqJJEuCQeFQirWX7O%2B6YxfZjqapqE%2F61bQ958LsXt8S%2F40CwpeDekav%2Fvh0ILAPAD7lsA1jEZFcyGsFksprtJg9Rr4kR6DJ%2FZWoO7uobKtNnnyJUlrW3X3ttO14phMgLHn98yIjzPqkFgFxoY259XSt4oSTqd%2FL0JgaDT%2FNcE9PAaBctOk%2FsjOTEKYEwCRGJxwB6tajQpMDBcxoHXzN8CJbum6GLZe60066mRmnd%2BeJXN6mThXRIWPMH%2FUn%2BNdGgxLmTUKrIsmYzWa0Gg8lkN4P41WCzUcXkofbu2oTf3cjSZdpuokXRuGOyi1dx22KswGZWhYd5AffOIrF9jYxdh40sI74Et93MVivueDXr0gYPcG0ouF4DRIkAevQioLvExgPivyvuhO7qQJ5BQRgeLXS7XPrsKDMzI6PAajSaTPkuq9WRKzu46XwOzWzPRJNH7%2BG7krl7%2BOC8ePqbjJDCRIiEfKFykdziVfBd8q%2Bke9n%2B%2BuvnTGL7vy529F437Xwso%2FdL097ZwvbVXz9jOnlw3rz12%2BLfSS1Lh1%2B%2FurZpy%2BF4kfhtxYuQjGCut1tMFxHAq6vrscoOoatQFU0Xx29SyV%2FXLRG8TS0ierkyof%2BZtWWXEPbn7boC9dce3JHE5yf0pzhpostXLJYMcLnSvcYhMa9mp0Nidu8vu%2FxUrvPeVQMOCCQs6MzrxGVT5986ecr8W6dQmX3ELvzxh7swGyl%2FI6Xt6%2F70Qnv7mhfYKbbnQTS8jE7s8wA7B4LrOep1cC1ckMMn1Hl%2BRVFNlKpZmqrlcuQEq9U9hBOEwa5mQEaKzBKmSBWoSQVlTvPepDFCnPndRKFJtuemosq2GZrG9p%2FtaZv8wfaPbt58TGf7vePdSx%2Fwsv5K9SPtbB87%2FT%2Fs7H10mU722JDgM67pTN1euaIq8dIsyh%2BTpOUZ%2Bfg6PcNnz%2FZanE5V4I0FhsQsv8m6iSfIBUmS5S2dL8HBXl8ook%2BLIkFBaLdMkafPPzxZ2v7R5zsmPXeFIQMJ22e1lq48uri9oOMZ9uLa9lNYiho3Z9%2B6xqU%2FbcBDAybXN3ZFFJ3LddVEh0mcejw5BCxZZVnUS7wGFxqlMrTMRy%2BJIqpdWewrCD%2B6iu3%2Fsre97yvSbCP7xLR8SXyH1LKxZTYkqp%2F1XIZ4dpmjpLktAEU5bnchWNw5lhxTli9rcMynUdPgGPX%2BvJ2%2F2BgiqPTHK2HB5clePsGgXCkPt082oetPnbx1%2FbDrDtW395oycuG8yJd%2F3%2FXu6MZHa5Zcv2zRrf2wZn1HILfzsvKx%2Bb0rCstHz73%2B8VXN%2F8y%2F%2FJriK%2FqHR%2F%2B30LeE6xuRa8AjToRYDHa7y2UyEIfB4fWZnHbn4JjVYrfL3HVyQt3QpktOVnRhgnBcxKOXvoLpIyFPwCO6cjK3bsas9tdeeHRt8xasYDuu%2BTD4aeiNN0jGwgknTn4e%2F%2FyqK4UOT%2FGc4zM%2BcENZ1E8cDrfby3t%2Fj9NoJ7JNtumyPcmJ1sVDgItr7tQYgH%2BgrxdrpR2zt72PpSLjsXRp7XUHt5Mj8dki4Ynt%2FEpI9JkPcrlm6BV1m0GWiYgIK0G0GNEuC5llKWndDU1X%2Fx0SbTfiOtaElf%2FINyryZYexkjVJLfFF86aMXUzaumS4AZRtXEaWOMsoSyaOIVng81ETVTMyMjNzVEXJ9plMVLbbMxQ7yDqidR3RdPz2LIDSIO1WQ8wBsin%2FpGskRZpuUfew19lm7LMwJ1eRcrT7sG6R5NCsqBgvN92NPdk7uARPdt4vtTDH4m9q1lxH%2FPGvvE03jMkcer4XnuKKI5gApOW6bWqi%2BYoMaKSUSAQlGWWzQVWtfIZmMSoUAA1mj4T2S2cBqaROkYZeq3KlhdkClOu%2FmD2BI48cxZHsMWxja46fYO2kPwmyZ7A1fiy%2BDRewhcJLzK17ycs1KTC73ZrXK0koahm%2FJgob%2FpNT8no0p9XJMTHDAFyVskQJkKKvhBlTUzxHyokifvTqgNsSaw9mmBRz7n4cwoqu%2BvcfR9RErqqfl%2Bfkfr2%2FYcZNo8ic866XXnR8Z72xNZI450HXce2MIn%2BoKqkIYDYgmvQhAm8c7YR%2FMwyOoefSIULSSMJGySlCWEwR6LrOB4nC0uhAZiCmDrLp6%2B3xekDI4T38Id7D54ipCHUbcnIcfn%2BuNTMzIFGXy8qjKd9qSbTzYosp2hbbF7bnuBrm%2BREWRw08Coc18VTQ4xFQ6%2BEJhDmL2m6%2Fc%2FOZG4cpn31T3XpmM9quH32qucGAVz7Z9jEdXMUObcyzBF8xskNVg%2BknbU8BIO5gJWSlYgMK7tcIpZJMAaCyhONDYlbqCOKOo0cV29lA1ylOauB7yBN7yOHlOmgGQ75bkoI52TabW3Z7qCzl%2F3%2F2IIuHzuFynuSi2BZnlftyiBSnzxyCyzwcrImh4e0Xbhz2%2B9mfKtWtL7xTP39x26LeM2aFPyFVQ7CnuWmyw5K3EXsOrqIfh2dPY5tNjY2nGm7QTxGQIqmCtoEHIlG%2FAg4zmKnd7qNeu82mSJSaHQ5QoCRU1lYi9ElBdqqp5pwa1sv%2FRAMmELwQB0baym968pqFwxaOC99ePv7pgf89chFZcXX5l1NzcyPRii%2Bnphf8lzhBwpbiQanl0rP6Dg26zurbad4v56mukCugE0Wi7Vh7JsTasSV5lIO0dJbKBcljHAhLOdJqfN6cwad7QYchPV3OyCA%2Bn4mYMrPSXCNiBtuIGMiGNH4pGWmKygXqpwH4S8%2BePzvOII575nOCTh4R15lS69q26gmSEBt94OCr7YtF6z7vlm8b7mpdcN%2BrL%2FfHcyhjZk77c8arjmflv%2FBn9kZObzbAuFFEB4A0ST%2Bd2BztZXeaidFqTfd6iV%2FzO51ado7Fn%2BavjxnT0sDFqcleG3P6QR7xs%2BNNXUfUIJTSVqjbjT%2BpBpRfbpXXFSKawsFwiBuQbNyyZcyzs2sbcS679w9k3%2Fmvbhr%2B6qufy7sbvojGrt10dOm6WtZ5ttes1keObtl5BAjMBCYFpHXcnkW8R87TLC6j7EsnBrDZ8jIhM%2FOyYp9LSycWo2xQPZ4ctYBHz%2FYyHc11H2qb9S%2BiA4oURXyC3SM%2B0WGqPrVIoJJaFCmMXFRdbixfuGzBqEk3j1qwfGE43Pbogt%2BNn93Y9siC8v1T6%2BqnzxxRO50cnPC7BcsWhCMLly6MTZs8uu2RtlBo%2FiNtYyYOnz6ttm7aDBHpCoDEp%2BPghZnR%2F7I53U6Plce2UaYyMYkJqxeRED%2FHBp%2FidDkbYkCRuuwmm93WEFPtdgt6FMsl5xX9mtiW3kNfypcpEhAfkgPKkCfoEXdAGF7cGCBD0YAVbOGWH374gX38448%2FvsOW4BViZBv3vHrfq8eO8RdyHMhFiKNCMGoniiKGmUaJSlTVsUcEbCpFdAhyJGBIAFHnAbag8wAAgUm89lnw%2F0o5D7g2jvTvPzOzu9KCJNSFaAKEBMYHAokSuQpiY04OODjYsWxCcjbkNaluuPdyiXuaS0jHpPfeE0N68fVO%2FObSe%2B8uy39mVlqEzr76oeyi%2BbG7U3bK83yfkUZBGZwCMyKlaRaXRRTLC6E4JyfkAld4DKmpsbkrK0ttpSafxzc15nHqTVNjepQycUvmivi5NiuyMYtA0qyNo3NOVr9OFfZJmt75WUW7VMhOWtE4fsubj9zRP33SzuaW6LxFB3rWTJj4xSuvXdHyYsOAb%2Fbpj257c%2BOS5s4tvmrim7appHXPputbn8kPlVdURssit194%2FxklXdGr7p3261Hh7uKKUGH0uu2nzi8Pxya1V5qmAUYu4UfygiRwVi0%2FYrQaWIvIdGcQ4pBB7dzU9snCdpLZJF%2FSOXJNjdRPPa0uMhVd2TKurqk5Mq5FXFPXEB0%2F7ucNExvqGieOb6wDIIw7lSbR99oBPqhmvm9ikm0mm7%2Fc7yzPc%2BbV1IrpYEmnX1mlhbZglpActKMVbEo36zBrHWyifBGnSASrw44ZvIhr6bwgFCxiuH4R45HIul%2Bc91p4c3j55tf%2FfvilPddGFx5b8zJqf5X9DCi9v%2Fm10vvcrj6U09uHsg%2F0Ke%2F29invHSBfX7VJ%2BTAv99nwkcNvfNd82xjlI%2F4%2FSu%2BrLyi3%2FObXaPaLTJb0b6xlBfCX%2BDHKMLqgAOoieZk65HLlmXXU56PLK%2FRmGI2e9HQbys4GEGweShSEA0F1mAtak3BQbR1SPGxVVo3K6irbp3YM1ToJV3pGr452r7n58XnrWi6tr79h3tY9yqTy%2FKbYvMvxsYvGRLrPu%2FBCWegef0l%2BcNcmpeGP%2FqIz6oqkNPas06Fd6BEEkMAIbZHRaUaDTKd2RMKCgERqGDdkGNkrBpBGCE4XBIMoIpOMsR4lWko4kLBqJI%2BK5j8Faab66Q897w8yR4ALIR3yqYfpaPGg8hFyDSo70RG06A12%2FoayC49HL1E%2Fs9K3DL2QNXzKGb8fhTCZCCJkRZgzSkcQkogAAdYJoQTf6LXQWZQQHjx2hLz1I7pgEIaGErEHWAIzAAhaezTEW%2BS5kUqBYFHUgcViJEbamxB9uT%2FROLFE8QLBIegdsp5%2BnaSN8spKbara53ErgY4FlFnoIwadmhP5X7VaYcvuz5QHAu8h%2FcO3K%2Bs89eFTJuceP%2Bdft9utd0xUFqDpyj3kqh3K1%2BH6uhrlzX%2FZctHQEckuSNLhJG8MjPTGCNLRbwWDZH%2BFr%2F6Jm7D5hAmyIDMiQ0ZGTrbVkMkqRQ3FUq17vL06HSowmDyctbXd2N5201ln3XjW5a88G6uvnz2nLjJHWMg%2B7W0766bZL10emd02YWJ7G%2BNFAYSwiCGdcx%2BZGTqdRB35BoSomd9sMRrSZYQkAYOKeoYC8S5MM5WnxriwyfZwnAs9I2%2Fh3kG0RVlFY12UNylYiiCAo%2FgZTriVRKwOA5LAgiyuTNnkwQ4Hyucer4lJXb96j39EPHUF%2BJnjK%2F5%2BbriipGXeqiuf3np9%2B4YudA6O3jbYEQv6S2bt37Cle8be7rMBwVgcxo%2BIr4APJkRy7enY7QbIl%2FLTzVK65C8mdrvDIed4PSa5IIE5pbQ8dlABTRX6S6xu1DgHrezj3QjuuaN9%2Fn1P7N541ards5oXtJ3REgwFWsOdE%2Fb9v3W9wlu7a432i6at2N7wzOzzq6tvrAr76ePuDExYn%2BqLI0JEDyCnCdwXdyjui3uFjR%2FVNMjMIUk6ao6YiGZWHZ0i%2FDX75U5H1aEgAOK2LmrkhkxmMUmXJFnOsjrBQR%2FdrXNlOGl7yiCq4Y2Z%2BzTTkbYwT8qwtv73xo0CxS6XhZtDZ7WvpVaAD0ZnlC6fNWF%2Bvigy%2Byj67YoVdz%2FPrAF7Z8wo%2F9mM65SDUhQQLFSOCbslO2RAIOJINwsiAoTMFr0emUykKWYSWc8XiHtk4gMlbe5qgAb7UsMIa0IFwu6bbumd0PqX1%2F72IW5Tjkmn%2F3QfCVmPHEWCwiKd8Cj0e7KGEUURmUU6Ebk1RiCQCHSypSLhfEr%2F%2B2Eqe2hQsaNeALBCVcRlNjI7Fh1Y7Gaz0W60ySYW9pXNXt9QQI0EXB1%2F3PjAIiZPQYprQ3RWgnr3Xd88KXuOu%2FGW5v7s6Kwj6xc5btOZJpzh7hmf2cktXDiKGxPRSYI8MjopD%2BWfMDoJeePRSb4QbvyciNkVzReismdxFD2z4Oyi0vHr6MwOwnTUfEt8ic9KPBFjIvYqgzhkDw%2FxTGK3kxc9YlKPgt969IarH3%2FwwP4nFG9dY%2BPEiY2NdULbnf0v3Hr7wAu3dHR2dnTMm5cy6s2OlKZTy49OL2AW1Ib01FNiGh70BD7YIdHEB79%2FOej1B9UBL%2B6NL0aoFonqQehRdg4ip%2FLxIFqsSMPn2KuMXYbaUNsyJZw1fMrGrnIA6Qpa2n5Y%2BTuAYvg1fgUA6eAP5Nrjj4L8IMFW%2BuJUVye0D51Au5h8T7W6B7CZSZlyNlXeJ75ClUs8XEnM8as%2BEb9qmXpVwDBeWUH%2BLLTzNU5DpKiQug4YJk0jh0pMoyDbnI1lQp0JPk9rzJdhoRy8xZvKwaN4g9Cm5HHsnddbrUub3bCVWHLF4ldiF1wYPjM27aFzzp37w3lvHP3F7rOrUcnw6jY6d1dT86yJ4eiY0sOnTO6%2F%2FYLru%2Bj0cyyamXhHhoZU2lu3GPuhiOexHiQ0HfQPYqfoh9HVJ1B0w2%2F%2FheIgzFQV2SMV52iKgYTCOlIxU1N0cUXaQwR7uWRYkxbXSNDfPYvXhpfEa4MpdD7OPtrg4sg4yUbMNmIRLCjNZEJsvgbgEETRbiYUvqb4syENGQkj%2FJFkkzkxTAQrMmlscsKiQLvUAAeUNb8G7yQ062PCs0QKkEYsI9rR6nzH9imOvcoLeLew9%2FghbKIUT%2BhoLlq5jiPvcYqZDnXNrC6WKXZGjNP8%2BVlGYAXOBfY556p5%2BZaodTT0KC89ZE%2BUXqqiG9pSFPdShT1JcXDoO1XhHnmNmZqia%2BgnXgMYFag1wGbucZ7cAJnQGCmivUCW3ep0GlBamtthAIqVWwGovcRJi9eKLYy8TgmP0%2BBgddahWmkscQqUlpiPo4MhBwPPA1tV5FzFz7cKwm9%2Bd%2BCzzzahATIdd1Du%2FG5GoOPWnR9%2BofQoyl1qHsRXeDuriLez36eUA%2BdUeTlUxtt7N1fgvJMpulHDv1AchOdUhXek4hxNMZBQZI1UzNQUXVzB2vvoeGkj2IAMglnogXTIjaRLBGTZYORGZXcgqMUn8260FqnLBlSM7lL%2BuB%2BVocqr6Rhetkf5tfL7vfj3qKxH%2BSMavZf%2B%2BVuaSiUAhD7DLeIHkgA2yIZCCEdyXJ4cuz0tB9LAW%2BTMK3Ab3QxXJQWpdOWImbyK8arGGFaJqpEG2V2IO%2FyqihEFV1Wm94Xts3tnv8iA1RevaL1x1sDRP56CjrR2UWL1%2FZBiOG0%2BWqzyvXWXXHDpANrEwNWGNfM3DSi%2FfHYJ%2Frbsp%2B8e6j5uKR4aUmlIXgO18Vocrdaz1uOkKrqR6V8oDkKPqsgfqZipKbq4gr0RJcl9kqDwq4yNv3kb1KtYuCSJSmbrqZpIDiOjjbIoSpJTMDbFZEdTTJAFWdIRyZowKGrdjOZBjePIDroW0tZGwh2UUz1yNcPaH1CQ4fikjst3rbt0NcHv%2FagMUij5c2Vc18rz5%2FNZJM3JfMkD1dAaGU3tegXFxQDlWSZTbXkgUGPKKtBBcbEui2SWhkqnxEIQcFgyozFLwnGq7ZUx0g03TH%2FaTYLqcnOkuuX8iaFL8zhXsVAn4a3SSDRSWl1%2FRVfoo3fmXTau%2BubIbfnTo2vnNjQ0TVjXsWQjbb4%2BhL9FfuGvkV%2BcNqai1JldVTJn7srmu%2B7JLfy6KLhqVGhcaeOylsh5lbWnl49r6TrnKPVMv%2FLO%2FazH5ASbVEBr5VQ%2BUtQfAPb2jbbEazY1vfvCE6Xna%2BkHfxhi6RUj001a%2BkAasPTikemClt4lAX%2B3T%2BGCYcUDmqJ%2FlKrwqwogTCEpQjeUQBBOgS2RydU1JDM%2FP2g3GoNBuabG7%2FGMKZPlsC%2FfW50fjVVXsyDp7OxQNJZtNo6aSoF3p%2BS0NFDHPHgbYiBJgQZGv%2FERLZmZ0t5q6wkJKnqMhzBz8MufZG0ZXsZRzHYYrWJk1TDShwoZfiVWbn2rce4L19%2F03NdfPRtr2nHzvKc%2Femdx%2Fd3LDyM4XkaJq%2Bcfm%2FbY8bqFq1fv6FyOvX%2B1oHvwefbOru7Y0zcz5q91cn3Tq52bInXKZx9RCGvWp8UlOEsQzpxD6T%2F05acLVrNap952xtZhP0xWx0%2B0iY%2BfnCrjtT1FbQ2389oqStRWanr34n%2BeflDP00eNTBe09C6rWpeVidoeugYAvcGv8LTaXynTgF0DGRLXuBwA%2Fy5J0T00eaRi6JdU8UmS4qDyuqqwJBTvUMXlkqApuriC9Vdu9UkSBIfk5fPVpZGx4MYuV46oJ%2BkEY0tOTnr6qEKLpcQNmZh%2BSJ2ImdjppB56CnnSKS02%2BRpiJifBU2MEnYC8izsQ2clwI9I%2B1YYLf3Gtkw8SVgdtm4XAwyNdtX46hDAvXCL2GCmnN3ZetuitjjuuvUr5%2F0PfKX9DwuFDDfpT17zfga0rz19x8fIFq84TXdXF99Wdtr1n%2Fm5lz4fKh8pLyPrJR8gyV%2Bhdtuva4%2FMv2Lj1ih27%2Blg74MwMf2tPV9%2FaEPAZUHI97ucl3KK2k5t4PReeOJ319ZfAyRW8pRiS%2BgUt3aSlD6jpeSPTBS29y6C2pIDWK8yCw0JYeIl7wbKhNGJ1pqWZBQEIyYUcNwVKAXHz0vPBYdBQiw8WTxJRTWOGj2%2BK1tf%2FPFpXNzVaf2ojO%2BKOwcEvTpva%2FPOG6c1EmNrUMqWhpRkIfcaHKAN0OZ81eEfOGnzxWQOjb0jBFAZx%2FC%2BzhmCNsJ9hQWsvOLVn0n5GBm1eUrt%2FzK5jR21o%2FOiJKy9AhwzKa%2F6alefjSoYJlXV2dVyL7IwUqpp%2BQes1ytH2RjTouvnWlnFKMOP2oSGVpeD1c2ZST4ByefGmpvMavgVOruA1XMnTC0emC1p6V0B9A0u1np977PkV5qi9zXh%2BBQ8XJOgmziYWsLhqD%2B1vHQZzli2Dxi8VWsCcbXDIRM6dEpOdxEnL%2BCQocxLLTDtnDWdWTT4Wyh0nAU7ot8Herhf%2F%2FuZLf5xv0ulUfvGjOONEDrXMYEgzK%2BCtE9qVsXpQVixvbB7mnLQ8CVqeut5Qc%2F0zNdcJKk9oH6byMk5M5VGJGk2mO108BE7wQmekxuJwGFF%2Bvs6WAeDL0umKLHa6drMgI7HQX0YznaWSNBddcwhCLotpRQ5tBcd%2BThplmiAy%2BBMMx2M6XcOLuERnVGvx%2B3WnH9vn31Wm9Cv3oTPQhPGbvaRDW9Q9dstdd%2FXVrfR7t8jpaBvqQuejTSZZXeCR145%2B8%2B1PDivZbnPyN%2BhT3SphMXhgNARhQWRMoMKEHQ6%2FX19RkWu3V%2BXr9aEchzvgiMYCATCbfxaNmc3YJNDOmfLEZnDT4VwQvFNiQupwHj45Cp00iOdT56kG4bniI7dDo6KTeT2fSk%2BLtyhf7dl5pPfHLSgb4QUvT7nsi2%2BR%2BbhTt2fL%2BU90tDx99FwN5Pu4fbWMBnC3%2FZprdiD9%2FciByqY1XcvYaf26naXlbOCeHGf7BhavuJhFHD0h%2FFXwSAVgZP0Zi5ozAMh6jE0ZWF4vsh39sg5pyx2NKqQzEZ2XGU%2BdFNAgrdc1Ne977elTUafn6kbhr2ed0XJ29tMLqh5sYBENqFX4M4lKD8Q9ehmS1eqmkUWyR8ay7CDxvRTYHVKNZ7qk8YhEdy1YcOklCy%2B67Pqa0tKaiorSGvGlCzavv%2BiCDZu7ykKhsrKqKkDwa%2BHPgkEygQuqIm4KNEUEQjLdBhvobPTrYvM6MzavFyCQ9fpZmoNENQebXw6qkISXvbF5mNVHiE23yjF6xRM27knfvXTUtKZoET%2B%2FfAk7F%2Buray7vKyjOr%2BKHAr4bGHqI3IN7%2BG5S%2BAS7SU0nbeih999Xlbp%2FqtQllG7Sj%2Fp4jIw7kiaIOqTTySBou5KZB5gLq7jGWhvCumKTs7N6sN5L%2Bp1zkG2h8t3HkHQFCVwRmQhIknSCRC8wvD8WUrffQHtNwbWDkz3iI84XlPdRySFI3luLeVIwEfnuWhIEtNuffHstwOzeZBl%2F%2BgzwRczUIGsiggSSZNFlkHRtI0Z%2BoT8E%2BbOoWSnwxY%2FoUzVPdILhSZyRP8ezp2Vz%2BE4SGJn%2FndpNDXwrMFMaMYjsRi%2BqN9Luoz60qB5QH885cqO31JNM8Ua1DBJFgVlJkOt5SRihMGIaeQcIpN7Ap91gROGgt0eWkkvbi2wunXrfKIyCdLA9wszuRplAgHssUq3uc6%2FavnXvvku37cGf9hzou3r%2FLbcAELbTizQXhfm75mXsYF6m6kEvys4gbKuXAofMQuS5LUhtbJnmP9AJy8gdX3yp56m7v%2BAps89kZzPacGPqPmctKUf%2BVkA7vpHbtCsijrgDV9RLQAg9pa0JI9VZmsxW0W%2FVN5vqlE12xKZeO24nRzp2bfoHPRPEf7z2SBs4vvHEBm8ApCxj83oe25YVSSeAEcaCFtqW8B8j5EX48mN%2F%2FIKMjge2AeK7BW0S%2B6EYdkQaJaL3%2BXI8RW5ntmywWIrSafaLika5cnP12dklBpdLzpRy83Knx0heRt66PJxOMvMy82yFPiiEabFCndlkMzXHbNp2YiNNoxZenyxzKUghO%2FCtQOhvro%2FH5DgKdA420DrVfS4oWELdb%2F7qWvq7BuL7XXhXXu9CVyrtGKN5yj0hZNq9ecn93ynPj9q6VMBLtvjQpG%2Be6ps7ebnwys5f3ucNFDzwTXgIxqK0Tx5wFVff9zVyT%2F%2FQ4%2BXsWgfzjp%2B0n6MTYDbdHRriMbs%2FSh7wQyNfQ04lboD45x8nfd7MPgcMBhzF34tPQRpYGbthFXUmWnBEBixim90k62TJikTRaiW6PJLPDTwBLSYu4RpNwn%2B8DhpfWI1CfA%2BzWrZnHP5%2BzefKBrTh0zXKHkmuzliH39q3rwfXHT%2FUN3Nu1gWuZ9Wn05u0pyuGRuJWn14KAMTT4QTpzcPp0q6k3PF0dS8BvtMDAcsjIIiIQGKXQLYPAt8FgTU2uvZ8EQDruB3sL%2FEV7krVDmZIWNNupYoPkxTdQ3NGKoYYgS4mKQ4q76sKS0JxHADfqZupKbq4gq9wuaT6%2FwCVeR0IAAAAAQAAAAEZmiehT9dfDzz1AAkIAAAAAADJQhegAAAAAMnoSqH7DP2oCo0IjQABAAkAAgAAAAAAAHgBY2BkYODo%2FbuCgYGr9zfPv0quXqAIKrgJAJZXBsIAeAFtkQOsGEEQhv%2Fbnd272rZtG0Ft27ZtW1G9dYMiamrbZlgrqN17M89K8uVfTna%2FoRs4AwCUGVBCU0zQl7DAlEIZWoPOfhXUs0BbVQAL1CG0ZepQd9STPdUW9dQ61FGN%2BU5LpOW1pswUpmU0hZj%2BTGOmWnQ2lPNyV2rEoO%2FA%2BmUw0CwATG8cNjkwyXzEYZrG9Of5NUyy%2BXBY7Q4Hm9a8tgCH%2FWU4bOcwPfmsjc7GvDcYPWk7StjU2G8qAf5xwHQE6D%2BzHRXUbqzi96bmrEQNEeim4V965jWnB%2Bho0sNRHnTn7E5H0V3nQAlaAGsawqkxWKfGhDPoO2Ts%2FGdwsk5fIecd011vh9O%2FOaegHO9toBWAfYLM5JBSxvoNquliyEeDvUucbeXvMd55vIqRtTGMJTnzAkP5bdnsXvTX6VGOPkbfYe%2ByRgh%2F6xHoLms6QDmmlvyFPThTB2PEtbczfMbr3XUu1JD7fmqUjaYre68jzpPD3wJIH6QH0RyQ5L6Ui%2FGeGFqDOZLiPj7iXnpkDsKJ5%2BTwO3LmEe8JYecb2fcazoXMC%2FEd4z0J7EFS3MdH3EuPJJX07gom%2Bff4%2FDMcpS1ee85bBLQNGO84cgiqPerpVcghUBEeK%2FS1jzBBfUZbwUv5X%2F7bkOlslqCEwJ5TBw4lBFsBJdRuHA4vYk%2Fown8RLYvLrQAAeAEc0jWMJFcQxvFnto%2F5LjEvHrdbmh2Kji9aPL4839TcKPNAa6mlZUyOmZk6lzbPJ3bo56%2F%2FCz%2BVaqqrat5rY8x7xnzxl3nvo%2B27jFnz8c%2FmI9Nmh2XBdMsilrBitsnD9rI8aiN5DI%2FjSftC9mIf9pMfIB4kHiI%2BhWfQY5aPAYYYYYwpcyfpMMX0aZzBWZzDeVygchGXcBlX8ApexWt4HW%2FgLbzNbnfwLt7DJ%2Fp0TX4%2BUucji1hCnY%2FU%2BcijVB7D46jzkb3Yh%2F3kB4gHiYeIT%2BEZ9JjlY4AhRhhjytxJOkwxfRpncBbncB4XqFzEJVzGFbyCV%2FEaXscbeAtvs9sdvIv3cjmftWavuWs2mg6byt3ooIsFOyx77Kos2kiWsIK%2FUVPDOjawiQmO4CgdxnAcJzClz2PVbNKsy2ZzvoncjQ66qE2kNpHaRJawgr9RU8M6NrCJCY6gNpFjOI4TmNIn36TNfGSH5RrssKtyN%2B59b410iF0sUFO0l2UJtY%2F8jU9rWMcGNjHBEUypf0z8mm7vZLvZaC%2FLzdhmV2XBvpBF25IlLJOvEFfRI%2BNjgCFGGGNK5Rs6Z7Ij%2F45yNzro4m9Ywzo2sIkJjuBj2ZnvLDdjGxntLLWzLGGZfIW4ih4ZHwMMMcIYUyq1s8xkl97bH0y3JkZyM36j%2F%2B58rvTQxwBDjDDGNzyVyX35Ccjd6KCLv2EN69jAJiY4go%2Flfr05F%2BUa7CCzGx10sYA9tiWLxCWs2BfyN%2BIa1rGBTUxwBEfpMIbjOIEpfdjHvGaTd9LJb0duRp2S1O1I3Y4sYZl8hbiKHhkfAwwxwhhTKt%2FQOZPfmY3%2F%2FSs3Y5tNpTpL9ZQeGR8DDDHCGN%2FwbCbdfHO5GbW51OZSm8sSlslXiKvokfExwBAjjDGlUpvLTBY0K5KbiDcT672SbXZY6k7lbnTQxQI1h%2B1FeZTKY3gcT2KvTWUf9pMZIB4kHiI%2BxcQzxGfpfA7P4wW8yG4eT%2FkYYIgRxvgb9TWsYwObmOAITlI%2Fxf7TOIOzOIfzuEDlIi7hMq7gFbyK1%2FA63sBbeJtvdwfv4j28zyaP8QmVL%2FimL%2FENJ5PJHt3RqtyMbbYlPfQxwBAjjPEN9ZksqkMqN6PuV7bZy7LDtuRudNDFwzx1FI%2FhcTzJp73Yh%2F3kB4gHiYeIT%2BEZ9JjlY4AhRhjjb1TWsI4NbGKCIzjJlCmcxhmcxTmcxwVcxCVcxhW8glfxGl7HG3gLbzPxDt7Fe%2FgY%2F%2Begvq0YCAEoCNa1n%2BKVyTUl3Q0uIhoe%2B3DnRfV7nXGOc5zjHOc4xznOcY5znOMc5zjHOc5xjnOc4xznOMc5znGOc5zjHOc4xznOcY5znOMc5zjHOc5xjnOc4xznOMc5znGOc5zjHOc4xznOcY5znOM8XZouTZemS1OAKcAUYAowBZgCTAHm3x31O7p3vNf5c1iXeBkEAQDFcbsJX0IqFBwK7tyEgkPC3R0K7hrXzsIhePPK%2F7c77jPM1yxSPua0WmuDzNcuNmuLtmq7sbyfsUu7De%2Fxu9fvvvDNfN3ioN9j5pq0ximd1hmd1TmlX7iky7qiq7qmG3pgXYd6pMd6oqd6pud6oZd6pdd6p%2Ff6oI%2F6pC%2FKSxvf9F0%2F1LFl1naRcwwzrAu7AHNarbW6oEu6rCu6qmu6ob9Y7xu%2BkbfHH1ZopCk25RVrhXKn4LCO6KiOGfvpd%2BR3is15xXmVWKGRptgaysQKpUwc1hEdVcpEysTI7xTbKHMcKzTSFDtCmVihkab4z0FdI0QQBAEUbRz6XLh3Lc7VcI%2FWN54IuxXFS97oH58%2BMBoclE1usbHHW77wlW985wcHHHLEMSecsUuPXMNRqfzib3pcllj5xd%2B0lSVW5nNIL3nF6389h%2BY5NG3Thja0oQ1taEMb2tCGNrQn%2BQwjrcwxM93gJre4Y89mvsdb3vGeD3zkE5%2F5wle%2B8Z0fHHDIEceccMaOX67wNz3747gObCQAQhCKdjlRzBVD5be7rwAmfOMQsUvPLj279OzSYBks49Ibl97In%2FHCuNDGO%2BNOW6qlWqqlWqqlWqqlWqqYUkwpphTzifnEfII92IM92IM92IM92IM92IM92I%2FD4%2FA4PA6Pw%2BPwODwOj8M%2Ff7kaaDXQyt7K3mqglcCVwNVAq4FWA60GWglZCVkJWQlZCVkJWQlZDbQyqhpoNdAPh3NAwCAAwwDM%2B7b2sg8kCjIO4zAO4zAO4zAO4zAO4zAO4zAO4zAO4zAO4zAO4zAO47AO67AO67AO67AO67AO67AO67AO67AO67AO67AO67AO63AO53AO53AO53AO53AO53AO53AO53AO53AO53AO53AO5xCHOMQhDnGIQxziEIc4xCEOcYhDHOIQhzjEIQ5xiEMd6lCHOtShDnWoQx3qUIc61KEOdahDHepQhzrUoQ6%2Fh%2BP6RpIjiKEoyOPvCARUoK9LctP5ZqXTop7q%2F6H%2F0H%2B4P9yfPz82bdm2Y9ee%2FT355bS3%2FdivDW9reFtDb4beDL0ZejP0ZujN0JuhN0Nvht4MvRl6M%2FRm6M3w1of3PVnJSlaykpWsZCUrWclKVrKSlaxkJStZySpWsYpVrGIVq1jFKlaxilWsYhWrWMUqVrGa1axmNatZzWpWs5rVrGY1q1nNalazmtWsYQ1rWMMa1rCGNaxhDWtYwxrWsIY1rGENa1nLWtaylrWsZS1rWcta1rKWtaxlLWtZyzrWsY51rGMd61jHOtaxjnWsYx3rWMc61rEeTf1o6kdTP%2F84rpMqCKAYhmH8Cfy2JjuLCPiYPDH1Y%2BrH1I%2BpH1M%2Fpn5M%2FZh6FEZhFEZhFEZhFEZhFEZhFFZhFVZhFVZhFVZhFVZhFVbhFE7hFE7hFE7hFE7hFE7hFCKgCChPHQFlc7I52ZxsTgQUAUVAEVAEFAFFQBFQBBQBRUARUAQUAUVAEVAEFAFFQBFQti5bl63L1mXrsnXZuggoAoqAIqAIKAKKgCKgCCgCioAioAgoAoqAIqAIKAKKgCKgCCgCyt5GQBFQBPTlwD7OEIaBKAxSOrmJVZa2TsJcwJ6r0%2F%2B9sBOGnTDshOF%2BDndyXG7k7vfh9%2Bn35fft978Thp2wKuqqqKtarmq58cYbb7zzzjvvfPDBBx988sknn3zxxRdfPHnyVPip8FPhp8JPhZ8KP78czLdxBDAMAMFc%2FbdAk4AERoMS5CpQOW82uWyPHexkJzvZyU52spOd7GQnu9jFLnaxi13sYhe72MVudrOb3exmN7vZzW52s8EGG2ywwQYbbLDBBnvZy172spe97GUve9nLJptssskmm2yyySabbLHFFltsscUWW2yxxX6%2B7P%2BrH%2Fqtf6%2B2Z3u2Z3u2Z3u2Z3u2Z3s%2BO66jKoYBGASA%2FiUFeLO2tqfgvhIgVkOshvj%2F8f%2FjF8VqiL8dqyG%2Bd4klllhiiSWWWGKJJY444ogjjjjiiCOO%2BPua0gPv7paRAHgBLcEDlNxQAADArI3Ydv7Vtm3btm3btm3btm3bD7VvBoIgLXVVqCf0ztXT9dzd3j3cvcX90CN5Snmae%2Fp45np2e356gbeH94HP8Q3x3feH%2FX38NwJwoHigQ2Ba4GBQCK4NfgxVDE0OnQr7w1nCI8P7wi8jdqR4ZGzkRDQSLRmdH%2F0UqxTrEVsbux%2FPHe8b3xh%2FlgglzESJRJfE6MS6ZChZJzkj%2BRouCA9GJKQuMhI5hsZRHR2A7kZ%2FYZWxldhtPDPeFd%2BIPybyE0OIy2SIrEy2IneSX8mvFKB6UpfodPQYeiOTjmnK3GOzsCPYpexaLjdXiRvBHeJ%2B8BX5Lvxe%2FqOACmWEnsJ60SsyYjqxiLhE3CoeE6%2BLL8RvUlRqJXWThkszpJXSbjkq83JaOZ9cXm4gd5IXKZACK4qSSSmiVFWmq0lVUtOr%2BdXyagO1oxbRSM3UsmnFtOpaC62nNkqbo7M60HPppfXaemu9j77X4IwUI49RxqhrtDWOGzeM92Y985lFWWWtcdZia4d10%2FpiU3YZu6%2B91j7rME5xp5szGVAgDcgBioDhYDpYDjaDE%2BAmeAW%2Bp8R%2FA5ajfCcAAAABAAAA3QCKABYAWAAFAAIAEAAvAFwAAAEAAQsAAwABeAF9jgNuRAEYhL%2FaDGoc4DluVNtug5pr8xh7jj3jTpK18pszwBDP9NHTP0IPs1DOexlmtpz3sc9iOe9nmddyPsA8%2BXI%2BqI1COZ%2FkliIXhPkiyDo3vCnG2CaEn0%2B2lH%2BgmfIvotowZa3769ULZST4K%2BcujqTb%2Fj36S4w%2FQmgDF0tWvalemNWLX%2BKSMBvYkhQSLG2FZR%2BafmERIsqPpn7%2ByvxjfMlsTjlihz3OuZE38bTtlAAa%2FTAFAHgBbMEDjJYBAADQ9%2F3nu2zbtm3b5p9t17JdQ7Zt21zmvGXXvJrZe0LA37Cw%2F3lDEBISIVKUaDFixYmXIJHEkkgqmeRSSCmV1NJIK530Msgok8yyyCqb7HLIKZfc8sgrn%2FwKKKiwIooqprgSSiqltDLKKqe8CiqqpLIqqqqmuhpqqqW2Ouqqp74GGmqksSaaaqa5FlpqpbU22mqnvQ466qSzLrrqprs9NpthprNWeWeWReZba6ctQYR5QaTplvvhp4VWm%2BOyt75bZ5fffvljk71uum6fHnpaopfbervhlvfCHnngof36%2BGappx57oq%2BPPpurv34GGGSgwTYYYpihhhthlJFGG%2BODscYbZ4JJJjphoykmm2qaT7445ZkDDnrujRcOOeyY46444qirZtvtnPPOBFG%2BBtFBTBAbxAXxQYJC7rvjrnv%2FxpJXmpPDXpqXaWDg6MKZX5ZaVJycX5TK4lpalA8SdnMyMITSRjxp%2BaVFxaUFqUWZ%2BUVQQWMobcKUlgYAHQ14sAAAeAFFSzVCLEEQ7fpjH113V1ybGPd1KRyiibEhxt1vsj3ZngE9AIfgBmMR5fVk8qElsRjHOHAYW%2BQwyumxct4bKxXkWDEvx7JjdszQNAZcekzi9Zho8oV8NCbnIT%2FfEXNRJwqmlaemnQMbN8E1OE7Mzb%2FP%2F8xzKZrEMA2hl3rQATa0Uxs2bN%2B2f8M2AEpwj5yQBvklvJ3AqRcEaMKrWq%2F19eWakl7NsZbyJoNblqlZc7KywcRbRnBjc00FeF6%2Fenoi05EcG62tsXhkPcdk87BHVC%2BZXleUPrOsUHaUI2tb4y%2F8OwbsTEAJAA%3D%3D%29%20format%28%22woff%22%29%7D%2A%7Bbox%2Dsizing%3Aborder%2Dbox%7Dbody%7Bpadding%3A0%3Bmargin%3A0%3Bfont%2Dfamily%3A%22Open%20Sans%22%2C%22Helvetica%20Neue%22%2CHelvetica%2CArial%2Csans%2Dserif%3Bfont%2Dsize%3A16px%3Bline%2Dheight%3A1%2E5%3Bcolor%3A%23606c71%7Da%7Bcolor%3A%231e6bb8%3Btext%2Ddecoration%3Anone%7Da%3Ahover%7Btext%2Ddecoration%3Aunderline%7D%2Epage%2Dheader%7Bcolor%3A%23fff%3Btext%2Dalign%3Acenter%3Bbackground%2Dcolor%3A%23159957%3Bbackground%2Dimage%3Alinear%2Dgradient%28120deg%2C%23155799%2C%23159957%29%3Bpadding%3A1%2E5rem%202rem%7D%2Eproject%2Dname%7Bmargin%2Dtop%3A0%3Bmargin%2Dbottom%3A%2E1rem%3Bfont%2Dsize%3A2rem%7D%2Eproject%2Dtagline%7Bmargin%2Dbottom%3A2rem%3Bfont%2Dweight%3A400%3Bopacity%3A%2E7%3Bfont%2Dsize%3A1%2E5rem%7D%2Eproject%2Dauthor%2C%2Eproject%2Ddate%7Bfont%2Dweight%3A400%3Bopacity%3A%2E7%3Bfont%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</head>
<body>
<section class="page-header">
<h1 class="title toc-ignore project-name">Air Traffic Challenge</h1>
</section>
<div id="TOC" class="toc">
<ul>
<li><a href="#descriptive-plots-daily"><span class="toc-section-number">1</span> descriptive plots (daily)</a></li>
<li><a href="#visualization-of-mean-delay-per-flight-routes"><span class="toc-section-number">2</span> Visualization of Mean Delay per Flight Routes</a></li>
<li><a href="#flights-by-night"><span class="toc-section-number">3</span> Flights by Night</a></li>
<li><a href="#number-of-flights-between-2330-6"><span class="toc-section-number">4</span> Number of Flights between 23:30-6</a></li>
<li><a href="#share-of-flights-between-2330-6"><span class="toc-section-number">5</span> Share of Flights between 23:30-6</a></li>
<li><a href="#section"><span class="toc-section-number">6</span> </a></li>
</ul>
</div>
<section class="main-content">
<p>_<strong>Members…</strong></p>
<div id="descriptive-plots-daily" class="section level1">
<h1><span class="header-section-number">1</span> descriptive plots (daily)</h1>
<div class="sourceCode"><pre class="sourceCode r"><code class="sourceCode r"><span class="kw">library</span>(dplyr)
<span class="kw">library</span>(ggplot2)
<span class="kw">library</span>(sf)
<span class="kw">library</span>(varhandle)
<span class="kw">library</span>(tidyr)
<span class="kw">library</span>(ggplot2)
<span class="kw">library</span>(hrbrthemes)
<span class="kw">library</span>(lubridate)
twist_zrh_cleaned <-<span class="kw">readRDS</span>(<span class="st">"twist_zrh_cleaned.RDS"</span>)
<span class="co"># flights per day, median / mean delays per day, precipitation etc.</span>
twist_daily <-twist_zrh_cleaned <span class="op">%>%</span><span class="st"> </span>
<span class="st"> </span><span class="kw">group_by</span>(date,start_landing) <span class="op">%>%</span><span class="st"> </span>
<span class="st"> </span><span class="kw">summarize</span>(<span class="dt">flights_n=</span><span class="kw">n</span>(),
<span class="dt">mean_delay=</span><span class="kw">as.numeric</span>(<span class="kw">mean</span>(diff_in_secs)),
<span class="dt">median_delay=</span><span class="kw">as.numeric</span>(<span class="kw">median</span>(diff_in_secs)),
<span class="dt">precip=</span><span class="kw">sum</span>(precip),
<span class="dt">temp_avg=</span><span class="kw">mean</span>(temp_avg),
<span class="dt">precip=</span><span class="kw">sum</span>(precip),
<span class="dt">lightnings_hour_f=</span><span class="kw">sum</span>(lightnings_hour_f))
<span class="co"># delay (mean)</span>
<span class="kw">ggplot</span>(twist_daily, <span class="kw">aes</span>(<span class="kw">as.Date</span>(date), mean_delay))<span class="op">+</span>
<span class="st"> </span><span class="kw">geom_line</span>()<span class="op">+</span>
<span class="st"> </span><span class="kw">facet_wrap</span>(<span class="op">~</span>start_landing)<span class="op">+</span>
<span class="st"> </span><span class="kw">theme_ipsum</span>()</code></pre></div>
<p><img src="data:image/png;base64,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" /><!-- --></p>
<div class="sourceCode"><pre class="sourceCode r"><code class="sourceCode r"><span class="co"># delay (median)</span>
<span class="kw">ggplot</span>(twist_daily, <span class="kw">aes</span>(<span class="kw">as.Date</span>(date), median_delay))<span class="op">+</span>
<span class="st"> </span><span class="kw">geom_line</span>()<span class="op">+</span>
<span class="st"> </span><span class="kw">geom_smooth</span>(<span class="dt">se=</span>F)<span class="op">+</span>
<span class="st"> </span><span class="kw">facet_wrap</span>(<span class="op">~</span>start_landing)<span class="op">+</span>
<span class="st"> </span><span class="kw">theme_ipsum</span>()</code></pre></div>
<p><img 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" /><!-- --></p>
<div class="sourceCode"><pre class="sourceCode r"><code class="sourceCode r"><span class="co"># flights per day</span>
<span class="kw">ggplot</span>(twist_daily, <span class="kw">aes</span>(<span class="kw">as.Date</span>(date),flights_n))<span class="op">+</span>
<span class="st"> </span><span class="kw">geom_line</span>()<span class="op">+</span>
<span class="st"> </span><span class="kw">geom_smooth</span>(<span class="dt">se=</span>F)<span class="op">+</span>
<span class="st"> </span><span class="kw">facet_wrap</span>(<span class="op">~</span>start_landing)<span class="op">+</span>
<span class="st"> </span><span class="kw">theme_ipsum</span>()<span class="op">+</span>
<span class="st"> </span><span class="kw">labs</span>(<span class="dt">title=</span><span class="st">"Number of Flights"</span>)</code></pre></div>
<p><img 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" /><!-- --></p>
<div class="sourceCode"><pre class="sourceCode r"><code class="sourceCode r"><span class="co"># Temperature</span>
<span class="kw">ggplot</span>(twist_daily, <span class="kw">aes</span>(<span class="kw">as.Date</span>(date),temp_avg))<span class="op">+</span>
<span class="st"> </span><span class="kw">geom_line</span>()<span class="op">+</span>
<span class="st"> </span><span class="kw">geom_smooth</span>(<span class="dt">se=</span>F)<span class="op">+</span>
<span class="st"> </span><span class="kw">theme_ipsum</span>()<span class="op">+</span>
<span class="st"> </span><span class="kw">labs</span>(<span class="dt">title=</span><span class="st">"Temperature (avg)"</span>)</code></pre></div>
<p><img 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" /><!-- --></p>
</div>
<div id="visualization-of-mean-delay-per-flight-routes" class="section level1">
<h1><span class="header-section-number">2</span> Visualization of Mean Delay per Flight Routes</h1>
<div class="sourceCode"><pre class="sourceCode r"><code class="sourceCode r"><span class="cf">if</span> (<span class="op">!</span><span class="kw">require</span>(<span class="st">"pacman"</span>)) <span class="kw">install.packages</span>(<span class="st">"pacman"</span>)</code></pre></div>
<pre><code>## Loading required package: pacman</code></pre>
<pre><code>## Warning: package 'pacman' was built under R version 3.4.1</code></pre>
<div class="sourceCode"><pre class="sourceCode r"><code class="sourceCode r">pacman<span class="op">::</span><span class="kw">p_load</span>(dplyr,sf,lwgeom,ggplot2,maps,maptools,rgeos)
<span class="co">#read in flight data</span>
flight_sf <-<span class="st"> </span><span class="kw">readRDS</span>(<span class="st">"flight_sf.RDS"</span>)
<span class="co">#read in flight data</span>
<span class="co">#filter flights for a single date</span>
vizdata_del <-<span class="st"> </span>flight_sf <span class="op">%>%</span><span class="st"> </span>
<span class="st"> </span><span class="kw">group_by</span>(origin_destination,start_landing) <span class="op">%>%</span><span class="st"> </span>
<span class="st"> </span><span class="kw">summarize</span>(<span class="dt">mean_delay=</span><span class="kw">mean</span>(diff<span class="op">/</span><span class="dv">60</span>),<span class="dt">n=</span><span class="kw">n</span>())
<span class="co">#create a new geometry : lines connecting Zurich Airport and the destination/origin of the flight</span>
vizdata_del<span class="op">$</span>flightline <-<span class="st"> </span>sf<span class="op">::</span><span class="kw">st_union</span>(vizdata_del<span class="op">$</span>geometry, <span class="kw">st_as_sfc</span>(<span class="st">"POINT(8 47)"</span>,<span class="dt">crs=</span><span class="kw">st_crs</span>(<span class="st">"+proj=longlat +datum=WGS84 +no_defs"</span>))) <span class="op">%>%</span><span class="st"> </span>
<span class="st"> </span><span class="kw">st_cast</span>(<span class="st">"LINESTRING"</span>)</code></pre></div>
<pre><code>## although coordinates are longitude/latitude, st_union assumes that they are planar</code></pre>
<div class="sourceCode"><pre class="sourceCode r"><code class="sourceCode r"><span class="co">#get worldmap</span>
world1 <-<span class="st"> </span>sf<span class="op">::</span><span class="kw">st_as_sf</span>(maps<span class="op">::</span><span class="kw">map</span>(<span class="st">'world'</span>, <span class="dt">plot =</span> <span class="ot">FALSE</span>, <span class="dt">fill =</span> <span class="ot">TRUE</span>))
<span class="co">#plot on top (new ggplot2 2.3.0 version needed!)</span>
<span class="kw">ggplot</span>(vizdata_del)<span class="op">+</span>
<span class="st"> </span><span class="kw">geom_sf</span>(<span class="kw">aes</span>(<span class="dt">geometry=</span>flightline))<span class="op">+</span>
<span class="st"> </span><span class="kw">geom_sf</span>(<span class="dt">data=</span>world1)</code></pre></div>
<p><img 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" /><!-- --></p>
<div class="sourceCode"><pre class="sourceCode r"><code class="sourceCode r"><span class="co">#we can now set the "flightline"-geometry as the main geometry in our dataset</span>
<span class="kw">st_geometry</span>(vizdata_del) =<span class="st"> "flightline"</span>
<span class="co">#transform worldmap and flights into spheric projection</span>
world2 <-<span class="st"> </span>sf<span class="op">::</span><span class="kw">st_transform</span>(
world1,
<span class="st">"+proj=laea +y_0=0 +lon_0=8 +lat_0=47 +ellps=WGS84 +no_defs"</span>
)
flights2 <-<span class="st"> </span>sf<span class="op">::</span><span class="kw">st_transform</span>(
vizdata_del,
<span class="st">"+proj=laea +y_0=0 +lon_0=8 +lat_0=47 +ellps=WGS84 +no_defs"</span>
)
<span class="co">#Plot!</span>
<span class="kw">ggplot</span>() <span class="op">+</span><span class="st"> </span>
<span class="st"> </span><span class="kw">geom_sf</span>(<span class="dt">data=</span>world2, <span class="dt">color=</span><span class="st">"white"</span>,<span class="dt">size=</span><span class="fl">0.2</span>)<span class="op">+</span>
<span class="st"> </span><span class="kw">geom_sf</span>(<span class="dt">data=</span>flights2 <span class="op">%>%</span><span class="st"> </span><span class="kw">filter</span>(n<span class="op">>=</span><span class="dv">100</span>), <span class="kw">aes</span>(<span class="dt">color=</span><span class="kw">as.numeric</span>(mean_delay), <span class="dt">alpha=</span><span class="fl">0.8</span>),<span class="dt">size=</span><span class="fl">0.2</span>,<span class="dt">show.legend =</span> <span class="st">"line"</span>)<span class="op">+</span>
<span class="st"> </span><span class="kw">theme_void</span>()<span class="op">+</span>
<span class="st"> </span><span class="kw">scale_color_viridis_c</span>(<span class="dt">name=</span><span class="st">""</span>)<span class="op">+</span>
<span class="st"> </span><span class="kw">guides</span>(<span class="dt">alpha=</span>F)<span class="op">+</span>
<span class="st"> </span><span class="kw">coord_sf</span>(<span class="dt">ndiscr=</span><span class="dv">1000</span>)<span class="op">+</span>
<span class="st"> </span><span class="kw">theme</span>(<span class="dt">plot.background =</span> <span class="kw">element_rect</span>(<span class="dt">fill=</span><span class="st">"#f5f5f2"</span>))<span class="op">+</span>
<span class="st"> </span><span class="kw">facet_wrap</span>(<span class="op">~</span>start_landing)<span class="op">+</span>
<span class="st"> </span><span class="kw">labs</span>(<span class="dt">title=</span><span class="st">"Mean Delay per Flight Route"</span>,<span class="dt">subtitle=</span><span class="st">"Routes with >=100 Flights, 2017</span><span class="ch">\n\n</span><span class="st">"</span>)</code></pre></div>
<p><img 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" /><!-- --></p>
</div>
<div id="flights-by-night" class="section level1">
<h1><span class="header-section-number">3</span> Flights by Night</h1>
<div class="sourceCode"><pre class="sourceCode r"><code class="sourceCode r"><span class="co">#dummy for nightflights</span>
twist_zrh_night <-<span class="st"> </span><span class="kw">readRDS</span>(<span class="st">"twist_zrh_cleaned.RDS"</span>) <span class="op">%>%</span><span class="st"> </span>
<span class="st"> </span><span class="kw">mutate</span>(<span class="dt">hour=</span><span class="kw">hour</span>(effective_time)<span class="op">+</span><span class="kw">minute</span>(effective_time)<span class="op">/</span><span class="dv">60</span>) <span class="op">%>%</span><span class="st"> </span>
<span class="st"> </span><span class="kw">mutate</span>(<span class="dt">night=</span><span class="kw">ifelse</span>(hour<span class="op"><</span><span class="dv">6</span> <span class="op">|</span>hour<span class="op">>=</span><span class="fl">23.5</span>,<span class="dv">1</span>,<span class="dv">0</span>)) <span class="op">%>%</span><span class="st"> </span>
<span class="st"> </span><span class="kw">group_by</span>(date,start_landing, night) <span class="op">%>%</span><span class="st"> </span>
<span class="st"> </span><span class="kw">summarize</span>(<span class="dt">flights_n=</span><span class="kw">n</span>())<span class="op">%>%</span><span class="st"> </span>
<span class="st"> </span><span class="kw">mutate</span>(<span class="dt">freq =</span>flights_n <span class="op">/</span><span class="st"> </span><span class="kw">sum</span>(flights_n)<span class="op">*</span><span class="dv">100</span>)
twist_zrh_night <span class="op">%>%</span><span class="st"> </span>
<span class="st"> </span><span class="kw">group_by</span>(start_landing, night) <span class="op">%>%</span><span class="st"> </span>
<span class="st"> </span><span class="kw">summarize</span>(<span class="dt">n=</span><span class="kw">sum</span>(flights_n))</code></pre></div>
<div data-pagedtable="false">
<script data-pagedtable-source type="application/json">
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</div>
<div class="sourceCode"><pre class="sourceCode r"><code class="sourceCode r"><span class="co"># ----</span>
devtools<span class="op">::</span><span class="kw">install_github</span>(<span class="st">"jayjacobs/ggcal"</span>)</code></pre></div>
<pre><code>## Skipping install of 'ggcal' from a github remote, the SHA1 (ab1a85ad) has not changed since last install.
## Use `force = TRUE` to force installation</code></pre>
<div class="sourceCode"><pre class="sourceCode r"><code class="sourceCode r"><span class="kw">library</span>(ggcal)
cal <-<span class="st"> </span>twist_zrh_night <span class="op">%>%</span><span class="st"> </span><span class="kw">filter</span>(night<span class="op">==</span><span class="dv">1</span>)</code></pre></div>
</div>
<div id="number-of-flights-between-2330-6" class="section level1">
<h1><span class="header-section-number">4</span> Number of Flights between 23:30-6</h1>
<div class="sourceCode"><pre class="sourceCode r"><code class="sourceCode r"><span class="kw">ggcal</span>(cal<span class="op">$</span>date,cal<span class="op">$</span>flights_n)</code></pre></div>
<p><img src="data:image/png;base64,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" /><!-- --></p>
</div>
<div id="share-of-flights-between-2330-6" class="section level1">
<h1><span class="header-section-number">5</span> Share of Flights between 23:30-6</h1>
<div class="sourceCode"><pre class="sourceCode r"><code class="sourceCode r"><span class="kw">ggcal</span>(cal<span class="op">$</span>date,cal<span class="op">$</span>freq)</code></pre></div>
<p><img 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NZYoV/Z+3MSjAaL78Za9U0k9Yu4ys25NKPEt0lV5YyqSIsuTSqfZpTUIqk8wlmBN1tj9bPDl24VPsmW/mmna03RaCjzSEQkez8TjAYdxVLIDIbWc/16lJFYa0trTAp310NBfb84lVjEVW7OpRklfk2qKmdUZVp0aVL5M6OkFknlEQ6H6M2usemuhdGOjg4RUbMnpS64cXNBWuruz0nwFWehVCqMfklmIxQ0xQyGZucX+lvqMhtt0f5ad26n2eEOhbuiKrCIq9ycSzNKvJNUns6oyrTo0qTySkaJ95PKG5wfZCfS0j893S+S3/UhDj9ZszUm97MimVC0SzI3FPRPCbM1JjcfSTYzF4qOiUhLtO1GJpvNuOv7LSIVOcBE7SKucnMuzSjxTlJ5P6OUt+jSpPJKRokmSeV6zoboF0Y7Rhe275pd59ryI0QOmEGZu39rfiNY5zCQWrmV4UcZyferLiiZR48yWu/Zkgot4io359KMEn8mVZUzqlItujSp/JhRUouk8ghnBb4l2jY7XPTBLszP1jtP+JZo6OOPN1yXkS3Rto0bN7b6ZbbGNm7c2NB6z5ZUahFXuTmXZpT4MqmqnFEVa9GlSeXDjJJaJJVHOByib+mfvry130PZno+6YL1I0BRx12GQdUFZnw2dK/x/ZjC0vi7ndD/bsjKLuMrNuTSjxJdJVeWMqliLLk0qH2aU1CKpvMGwbbvWfQAAAIoxVS0AABqiwAMAoCEKPAAAGqLAAwCgIQo8AAAaUjGTHbzswYMHymOeOHFCecwDVOJfgKtUOaN8yIdfIj8kFQUe8sknnyiMdvbsWYXRDkn5v6AwoNpoPgxYk4zyIbWL7KneH6uKJiJ3x9/S4Geq+hiiBwBAQxR4AAA0RIEHAEBDFHgAADREgQcAQEMUeAAANESBBwBAQxR4AAA0VGKiGx9Ob+RDPpnzAQB8pfRMdmeefVVhe3euv6F8QiLrucsKAyY/GlbeQ4WfYSU+QKaIAgD9MFUtqq0Sw0LK1yrUBnR59zwR8AAMNCqhdpHdHX9LYTRhy+FIKPCogTPP/kRhtDvX31Qe0G9z0Z9ROnP4HaUzhx/ml70CH4jSjBpXmVHi+qRyeffEN6sLHGQHAICGKPAAAGiIAg8AgIYo8AAAaIgCDwCAhijwAABoiAIPAICGSp8Hf+f6G2qbVH4CYvKjYbUBlfdQ7Wfo6TlJAADVUbrAu3++AvdPVcsMEgCAKmOIHgAADVHgAQDQEHPRowbuXH/T5QH9drGZOx6/NEgFPhBXZ5T7A7q8ez5BgUcN+OpKHp44bOIbP/grhQF//c531V4iueRrnlJ6sZy7Si+WIx7JAYVXbLpz/U33LxGF0VyLIXoAADREgQcAQEMUeAAANESBBwBAQ6UPsnP/wZDun8mOw1MBAFWmw0x26o8mVTo13h2lU+N54gNUGA0AcDQM0QMAoCHOgwcAoDzd0//PeZCpjn/lPMgB2IIHAEBDFHgAADREgQcAQEPsg0cN+O1KHi7vnoj8+p3vqg14mAnkFbrr+ovluD+g2is2uX+JOGTbX9a6C6VR4FED7j/Tz29nNro54GF+2V+8/kBVcyLy/rMn3PyBVCjgN1/5L6qi/fKnf+b+/9dpCNtW0ZHKosADAFAe+0u24AEA0I4mQ/Tu33Wkfl+Uu+e+df8HCACa02ML/kzvTxS2d2f8TV/NLCsV2B/5Rz+8piqaiPzqLy5YSj9A5ZcGAAC30WQLHgAAFLM5yA4AAA3pMUQPAACKMUQPAICGKPAAAOiIAg8AgH7Yggf25v5T+f02dYH7Ax7s/WdPqA3o/g9EecBf/vTPFEZz///rkP0lR9EDe3HzTAPKA1aieydOKK5nXqf8E36q98cKA94df0v9/B8unqHk7Nmz3/j+X6qKJiK//tn3XJfzemzBu//CXy6feE55wF/9xQWF0YSpaQCgTJrMRX/m2VcVtnfn+huuWxEDAKAsTHQDAIB+OMgOAAAd6TFEDwAAirEFDwCAhjQ5yA4AAOzAQXYAAOiHIXoAADTEED0AABpiCx4AAB15YR+8YR/YywcPHihvkpnsfK4SSeU3fImKkVF+4LacP/3uPzoPMvPyH+RvrY6dPP7Fa/b71s4XrI6dPP7yfOHeC58+9oKDldiCd9tnCg2QVFCLjEL1qdwHn3zRePoDkRcef+bhF/NlV/Uiv+OoWwAA+JD9pYI/keSLhvH05+9++m50jzZWVz6PPnH86H0sMUQPAAAO8B/fuXfIV/7DD07t/cTeQ/T5TfucI2zKc5AdAADl+Q9/Mef8Xf/1h7GDXr268rlE33342aVjIrI6dvLk2PHc7cOiwAMAUKYqnAd/7NJn9qWtO41Pzv/moQgFHgCAyvHEefAcZAcAQHnsL23nfyXaSL5onBxbzd9ZXfn8ha+XuQ+eAg8AQJkUHUW/h9Wxk8aLSRGx3n/4zM3jRs55mSj7dDmOogcAoDz//vUZ50H+22unnQc5APvgAQAoT+kBdhegwAMAUCYvHGRHgQcAoDyeOIqeAg8AQJm8cPgaBR4AgPKovNhMxVDgAQAokxeG6J2cB59OWIFAIJ7a7/lU3DTNeKroBnCAXEJZiXSl20kl4gnS0QdScSsQME0zELCO8PvjNE9ScdM0K5/OqA0F09xUfhWhKhPdtI9ks9mR9mo0Be9Kz9xeMgxZvD1T2Z/E1NXzg5MrFW0CbpCKn5+UgXvZ7NxA8+Lk+XJLPHmCg/ipwBetq6bij23WswWP0tIztxft7u4eWRy8WsiVffIqnbBM0wxYcWtrDGnfV+7ahksnrPNThmFM9VZhqAC1lF5bltzqYrgvubm5WdjESCfiViCXP/kMyCVPPJ8qViK9R57s/67c41Y8kUrErUAgsP0KERFZuVoUdp8O5HLWsqxAIBCIp8hLT7BtBX8VxlS1cIf0zO1FaW68aPWITCYPWhtMJy4MLkauzG0mrabFg2MmLgxOSs9ENpud6Mltw4X7khPdtm13j28m+8Jq/wW4j7E0dMoqKpnphHVqcLnzXjY7N9E0OXhqe7tjcbnx2ubm3JXI0lAsntqZJwe+62Jyc+5KZGlq6PyKdW1zc6JncXJ7FXVX2IM6IItN8c3Nzc2RdvLSC+wvv3T+V+lOUuDhCrn63nk63G71GMbUARV+65Ui7VZP6ciLkyNWPNVwsWgbDn4Q7rs20CwixtLU+VP5jeWi5NmdaflHT3dGbHt5bcdGdOl3NTSJSI/VHhZpaGwW2Q6wK+wBoaTHIj89xE9D9IAjO6p2t20fvA2/paGx+aCnw33xgWbDWFqa6o3FzJ0jp9BfuC85N36lO2IbxtLk4IXc4jeMpaGYaZqm2TslRaW4qSEskq/Viytru0Lt966SHg975FBwFT0L/O5d7M2NDUo7BD9Kz9xelMLvXu+UYZQYpS9YWzl4jF7a+5LZ7FzuV35paugqB4L4TLi9byR5b7w7YhhLuapt25Erc9ktWztq8oU2vba816/afu8q6fGwRw4Fd9FyH3zRANTaymJhBbWhMZLvayo5qbiL0F7u+Pnu8fxP3tyVSH7ocq+8Cp/ubM4fal+UbHtmYP7IOwm3913sPMRoPjSSOxIznkqLhBsaxbYjjQ3FyZM7K3P70Lfco0VDSdsOeFdJu8I6CQV30bLAh/uuDfTIUMw0zd7lnoF7ud2a4b54T/PSUCxgJYUfUpQnPXN70ba7t/ZA5nZYTiZTe+dVuO/awB4P7vHK9pG58W4ZPGWa5qnB5e4rcyPtItJ+caDZmOo9aAoHeF+479p4d2SqN2aa5qlB6Zm41hcWCfclJ3oKKSE9E9vbz81NK1etwKlB6Rm41heWHXmy/7tKam5auRAIxIaWmgdKdADe4omD7LgePLwmFTd7pyJX5pJ9koifGlweuMePJJzYzijyCIf1By9fdx7kH9991nmQAzBVLbymfWS8e7l3KGYOiR0pbG4BQDV5YapatuABACjP73/vF86D/NNfftt5kAOwBQ8AQJm4mhwAAPqpwlnszlHgAQAojyf2blPgAQAokxe24JmqFgCA8iieqnZ17KTxYnKPdpIvGoZhGMbJsdXyO0mBBwCgPCrqe2GQP/micfzl+T0aWR07+bR8atu2/fCZm8f3XAE4EAUeAIAy2V8q+MttoT/9+bufvhvdo42HX8y/8HVLROTY156JfvCbcis8++ABACjP//z5y1u3f+/bI4d81z//Ir7rEet9235fZHXs5uOvXl35PPrED3O3jzU+KTdXVsU6VkYnKfAAAJTn957/mfN3/fOH3z/o1Q+/mJcnjtDKFgo8AADl2d6DXjnHn9hr3L4M7IMHAKBMivbBH+RY45PzXzzM3V5d+VyebCxnfF4o8AAAlEvxaXJ7O/5E9IPXx1ZFZPW3NwvH25XB+RD9wmjH8Gz+dtvl6f6WI0fK3rr00sfrRTEWRjuGZ48cMxdu52P133pvrMssP9bCaMd8tNCPXd3a8VzNerhfSIfxRETlIq5yc4ozSlyfVGRU5VvkZ8pBD/cL6cWkquBUtatjJ49/8Zr9viXHLn326RfGceNlkei7Dz8rt747LfALox3Dcnl6ukUkt9Qu3XK2oOrrJZOVFlNEZGF+o77+6KHMrrHprny3MuecLe+6YP1GoV/ZzEZbW1vx3frgMzXvYRG1ya18EVe5OYUZJa5PKjKqOi3yM+Wc15NKRO1UtccufWbvdbtwlP3ROBuiz2Y2pC1aWEpm17m29bn7WScRQyEpRMhmJBRy1D11zNZYoV/Z+3MSjAaL78ZaK5tItaR+EVe5OZdmlPg2qaqcURVp0aVJ5dOMkloklYj95ZfO/yrbRacF3myN1c8OX7pV+CRb+qedrjVFo6HMIxGR7P1MMBp0FEshMxhaz/XrUUZirS2tMSncXQ8F9f3iVGIRV7k5l2aU+DWpqpxRlWnRpUnlz4ySWiRVlfbBO+VwiN7sGpvuWhjt6OgQETV7UuqCGzcXpKXu/pwEX3EWSqXC6JdkNkJBU8xgaHZ+ob+lLrPRFu2vded2mh3uULgrqgKLuMrNuTSjxDtJ5emMqkyLLk0qr2SUeD+p/HO52Jb+6el+kfyuD3H4yZqtMbmfFcmEol2SuaGgf0qYrTG5+UiymblQdExEWqJtNzLZbMZd328RqcgBJmoXcZWbc2lGiXeSyvsZpbxFlyaVVzJKdEgqL1wu1tkQ/cJox+jC9l2z61xbfoTIATMoc/dvzW8E6xwGUiu3MvwoI/l+1QUl8+hRRus9W1KhRVzl5lyaUeLPpKpyRlWqRZcmlR8zSmqRVCJi2wr+KsxZgW+Jts0OF32wC/Oz9c4TviUa+vjjDddlZEu0bePGja1+ma2xjRs3NrTesyWVWsRVbs6lGSW+TKoqZ1TFWnRpUvkwo6QWSeWRg+wcDtG39E9f3trvoWzPR12wXiRoilT4MMgy1QVlfTZ0rvD/mcHQ+rqcq/wpvLVVmUVc5eZcmlHiy6SqckZVrEWXJpUPM0pqkVTe2Adv2F7YkQAAgHv8m2/+yHmQ//XLt50HOQAXmwEAoDye2DamwAMAUKYqXE3OMQo8AADl8cQ+eAo8AADlocADAKAj9sHD/R48eKA85okTJ5THrKZKfCZwwusZ5Tee+AY5TCq24OENn3zyicJoZ8+eVRitVn5w9/+qCvXOU7/7Rz/4K1XRRORX73xX+SJTHvBM709URbsz/qaqUKiap84rOItsy92Jt932M2VzkB0AABpiCx4AAP0wRA8AgI44yA4AAP2wDx4AAB0xRA8AgH7YBw8AgI68sA/+d2rdAQAAPMa2v3T+JyIiyRcNwzAM4+TY6mOtrI6dNLa9mCyzkxR4AADKZNsK/mR17OTT8qlt2/bDZ24ef6yCP/xi/oVP7YL3rTL7WGKI3hMzDsIhPeaeA4CqUbQP/uEX8y983RIROfa1Z6Iv/yb5vlVUxVdXPo8+8cOjRy+9D/6p3h8fPfxj7o6/5f5ZNpUHVPgZVuIDPPOssllFReTOdSYWBaC5//3f/3rrdvDf/ekh35X5H3+z4/7q2HYFP9b4pD05n8gAAA+2SURBVNxcWRXr2NbTD7+Yn//guPGyiIi88GnZm/AcZIdq88Sw0DtP/a7CaL9657sKo0kFBl2UB6zmBPKeyCi/uTvxttqAbhtoDMb+xPm7Mq/+63l5Yt9Xr658LtF3H3526ZiIrI6dPDl2PHf7sCjwqAH3D7ooDKh2CEdE7o6/pT6giy8NcphfdvWjbi7+QMQLOa/9QKOaIfrjT0QPePbYpc/sS1t3Gp+c/81DkXIKPAfZAQBQHhUH0dtyrPHJ+S8e5iKurnwuTzaWU79LosADAFAm+0sFf3L8iegHr4+tisjqb28WjrcrSL5YdO7c6srnu54ujQIPAEB5FJ0Hf+zSZ58++fJxwzCO33zmYe4gutWxk7lT3q33Hz5z83j+JPjzMqH6NDkAALCLrWwmO+t9236/+IFjlz6zi25e2uM9h0SBBwCgTF6YqpYCDwBAeTS52Mzd8bfUNun+U3iVB1T7Gao/ZZmpaQCgLHoU+J9m/63C9l4x/+WFD/9JYcAPnv99N58PqjygH04wBQCXU7cPvoIYogcAoEwUeAAA9KPJPnhAOfcfNqE2oPIDWdQH9PjM4eqPm3H9B+LygPofKvQlW/DAXtx8lEMu4JleZccl3Bl/0/1z0X/j+3+pMOCvf/Y9hQd2HOaX3QMZ9eyrCgPeuf7GGaU5cEdpUlXi6gbKP0CHEdiCBwBAS2zBAwCgHZshegAAdOSBAs/FZgAA0BBb8AAAlOf/fP4Pte5CaaUL/Cvmv6ht8oPnf19tQJefLqI8oP7nnwAAHCtd4JWf7eDmM5pE5M74m24+5ebs2bMv/GJBVTQR+eDbLUxVCwD6YR88AAAaosADAKAhCjwAABqiwAMAoCFOk0MNuPw8BRG5M67yUEH3X2zm1z/7ntqAVT7W0gMZ5Xjy890B3Z1Uyq/Wo/wD9AMKPGpA+aVN3HxqRiXOy1B+sZkKXFuFi81UNuCfvvVrhQH/5sffUHuyj/s/QIXRXIshegAANESBBwBAQ6WH6JXvSnH57lJx/f68D77dojCaMDUNAOiodIFXvrv0qfNKdx9OqN99qPxfPqNuj+mdCuwuZecWAOiHIXoAADREgQcAQEMUeAAANESBBwBAQxR4AAA0RIEHAEBDTFWLGlA+87nLJ1dQ3j3lc9FXYOp15qKvbMC/+fE31AZU20P3f4B+QIFHDfhqbnZPzMt94sQJhQGrz80JIJVZZMr/Zabr0A9D9AAAaKj0Frzy0dS7E24fXVR/6UylA6qMfQEASipd4N9+1KSwvR/VLTO6CABApTFEDwCAhijwAABoiAIPAICGKPAAAGiIAg8AgIYo8AAAaIgCDwCAhijwAABoyLBt+4CnHzx4ULWuHBkT3XiLJ5LKbzz9JSKjcASezvlDKlHgAQCAFzFEDwCAhijwAABoiAIPAICGKPAAAGiIAg8AgIYo8AAAaIgCDwCAhijwAABoiAIPAICGKPAAAGiIAg8AgIYo8AAAaIgCDwCAhijwAABoiAIPAICGjlbg06m4ZQUCpmkGAlY8kUrnH05YgYCVSD/26kQ8kdo3WCpumubj74KPpBNWYDt19skj1Ug8jaUTuR+onIAVT1VhOZNRcJmjFPhU/NT5Sem8t5nNZjfvdS4Pnj8V379+S+rq+cHJlSP3EH5hLA1dPSCPgDJFrsxls9lsdm5AJg/+kQK0VH6BTydGJqV54FpfWEREwn3XBpplcmTXamsqntsiSyes81OGYUz15jfJ0om4FcitU+94y8rV3Br39vrvHq/MRbWsQCAQqMoqOarrsTx6PA2KN+9T8UAgkPvdfjxbcptT8XjucSueSCXiViAQ2JV5JJ7+wn3xHsOYSuYq/D6psiWfCWQUNGCXae29M1/96pn31vZ6qHBj7b0zgUCgfyb39Ez/V7/61fyd/O214jgz/YFAIHdz+43bT68VvX+m/6vbsaCP3OI+k1/6RTm2R8Js58Pae2dyt/bMlsfyKhfngBeQePrY9Tv12G/UzuWbk1vKhYQgo+B96g+yWxqKxYaWIt3jI+27n8pv/F9sD4uET3c2y+Ltmfy6a3Pn6dyDEdteXkunZ24vFh5rt4rWvkWkx3osMLTQGb8SsSdHEmuFB/ZMmK18SM/cXpQeq10OyJb8ow1NItJjtYdFGhqbRZbX0jtfQOLpLdzQJLK4snbA8k0nRqYMQ3rifWEyCpqo1FH0i5PJEnu8Cl+53L2mhvCuBw1jaShmmqZp9k5J8RcI2mroi/cYS0Mjt/d6cis32q1u255MptZWFrd+Io+cLSSeL6TXlkWaGxtkv+WbTlwYXLTtyMDFfM0lo6CBsgv8ri1vkeK1XRERO3JlbrzbMKYe3526Q9FXTra/ZtsP2nbhEJlsNpvNJvP7/KG19otXIvbS0tIeT23nRrvVIzI5MrK8vQl05Gwh8fwjV3r3XL6pq4NLhrF9aBEZBS2UvwUf7ov3yOLghdzJcelU4sLgYm5cK6e583S4fWS8214c3H1MdG7lYPBqKv3YakFulWHrweLViCqdNAVXCPfFe7bv7JMw7VaPYSwtLubru5NsIfF8IJ26Opgb7dl7+aYTI5Ni291bv2JkFPTwlSO8p33k3kTjhZHzp4YMw7YjPQMT1/p270tqvzjQPDk4krjY3td+caB5aqg3MNk9sTmSvCfxC+djpmFHugfujfSFRdZERJqbVi4EAkuG0Tww1xcWkb7kxIp1/pQ5ZNh2pGeCtV7faL94JTI5uCgiIuG+PRJGRNqtbntycmv7PbxXtqzt18AOJJ7GloZi5pCIiB3pmbg30i57p0o6cXvJMAyZ6jWnRMSOXLmXJKOgA8O27Vr3AQAAKMZUtQAAaIgCDwCAhijwAABoiAIPAICGKPAAAGiIAg8AgIYo8AAAaIgCDwCAhijwAABoiAIPAICGKPAAAGiIAg8AgIYo8AAAaIgCDwCAho5yPfidFkY7hmfzt9suT/e3HDlS9tallz5eL4qxMNoxPHvkmLlwOx+r/9Z7Y11m+bEWRjvmo4V+7OrWjudq1sP9QjqMJyIqF3GVm1OcUeL6pCKjKt8iP1MOerhfSG8mlQc4LPALox3Dcnl6ukUkt9Qu3XK2oOrrJZOVFlNEZGF+o77+6KHMrrHprny3MuecLe+6YP1GoV/ZzEZbW1vx3frgMzXvYRG1ya18EVe5OYUZJa5PKjKqOi3yM+Wc15PKG5wN0WczG9IWLSwls+tc2/rc/ayTiKGQFCJkMxIKOeqeOmZrrNCv7P05CUaDxXdjrfomkvpFXOXmXJpR4tukqnJGVaRFlyaVTzNKapFUHuGswJutsfrZ4Uu3Cp9kS/+007WmaDSUeSQikr2fCUaDjmIpZAZD67l+PcpIrLWlNSaFu+uhoL5fnEos4io359KMEr8mVZUzqjItujSp/JlRUouk8giHQ/Rm19h018JoR0eHiKjZk1IX3Li5IC119+ck+IqzUCoVRr8ksxEKmmIGQ7PzC/0tdZmNtmh/rTu30+xwh8JdURVYxFVuzqUZJd5JKk9nVGVadGlSeSWjxPtJ5Q3OD7ITaemfnu4Xye/6EIefrNkak/tZkUwo2iWZGwr6p4TZGpObjySbmQtFx0SkJdp2I5PNZtz1/RaRihxgonYRV7k5l2aUeCepvJ9Rylt0aVJ5JaNEk6RyPWdD9AujHaML23fNrnNt+REiB8ygzN2/Nb8RrHMYSK3cyvCjjOT7VReUzKNHGa33bEmFFnGVm3NpRok/k6rKGVWpFl2aVH7MKKlFUnmEswLfEm2bHS76YBfmZ+udJ3xLNPTxxxuuy8iWaNvGjRtb/TJbYxs3bmxovWdLKrWIq9ycSzNKfJlUVc6oirXo0qTyYUZJLZLKIxwO0bf0T1/e2u+hbM9HXbBeJGiKuOswyLqgrM+GzhX+PzMYWl+Xc7qfbVmZRVzl5lyaUeLLpKpyRlWsRZcmlQ8zSmqRVN5g2LZd6z4AAADFmKoWAAANUeABANAQBR4AAA1R4AEA0FCJo+gfPHhQnX5AJydOnKh1F1yEL5FzZJS3eCLn/ZBUpU+T++STTxS2d/bsWQI6jPbU+R+piiYidyfeVv7/KoymBzdnlPsDklFe5OaMEt8kFUP0AABoiAIPAICGKPAAAGiIAg8AgIYo8AAAaIgCDwCAhijwAABoiAIPAICGKPAAAGio9Ex2AOBmnpgY1W+UTxXnk7nn1KLAA/A85fOYWs+9pjBg8qPX3T91q9rZhd9I16uKJiKvhtf/sO91hQH/PqFy+bpW6QLv/hUxvwW8O/G2wmhS9VVjH25vuTyjPBEQQLl0uNjMmWdfVRjwzvU31Pew9yeqot0Zf9P9S6Tka9z/L6jdmnFz99wfkHUF4Gg4yA4AAA1R4AEA0BAFHgAADVHgAQDQEAUeAAANUeABANAQE90A8Dzlp9IlP1I5rYp4YaYBtQFfDa8rjCa+mZpGLQo8AM/7kzd/qTDa3/7km26eGKBCAV/+zSNV0d79et2Z5y6riiYidz4arv50HRpgiB4AAA1R4AEA0JAOc9Hfuf6G2oDqezj+psJo7l8i1W/R5QFd3j1PBARQLh3mond/QLVz0T91/seqoonI3Ym3qr9zy3r+isIWkx8OuTkHPJGibg7IugJwNAzRAwCgIQo8AAAaosADAKAhCjwAABqiwAMAoCFmsgPgeX/7k2+qDej+8waVB3z363UKo935aFhhNOFkiiOhwAPwPDef5ufDgC7vnvhmdYEhegAANESBBwBAQxR4AAA0RIEHAEBDOlxsxv0B1V5s5u7EWwqjSS2ON0l+OKQ2oMtzwOXd80RAAOUqXeCf6lV6aZPxt848q+zKKyJy5/qb6q8No7qH3/zRe6qi/fLtl5T/v12v/lxhwFtvfKfka9x/hK3fjih2c0DWFYCjYYgeAAANUeABANAQE90A8Dz3H0Pgt4Au755PUOABeJ7yYwj+8CWVM63+/XuX3XyUg/KAZ8+etZ67rCqaiCQ/Gv7ai4MKA/72/QGF0VyLIXoAADREgQcAQEMUeAAANESBBwBAQxR4AAA0RIEHAEBDFHgAADRU+jz4u+OKL21y57rKK69IJa4No7qHv3z7JYXRlP+/h5k9Xi33T4Lht0k/3B8QQLlKF3jr+dcUtpf88HU3z8+QC3jixAmFAfE49+eA3y42Q84D+mEmOwCep3zA4O/fUzkRm3hhjERtwORHKqcCFN/MPacWBR6A5zGkATyOg+wAANAQBR4AAA1R4AEA0BAFHgAADVHgAQDQEAUeAAANUeABANAQBR4AAA0Ztm0f8PSDBw+q1hX3YI6LivJnUrmcp3O+Ehnl6Q8EyClR4AEAgBcxRA8AgIYo8AAAaIgCDwCAhijwAABoiAIPAICGKPAAAGjo/wN3ByB1xnz//AAAAABJRU5ErkJggg==" /><!-- --></p>
</div>
<div id="section" class="section level1">
<h1><span class="header-section-number">6</span> </h1>
<!-- # Modelling with xgboost --- -->
<!-- ```{r} -->
<!-- data <- twist_zrh_cleaned %>% mutate(delay=ifelse(diff_in_secs>1800,1,0)) %>% -->
<!-- select(-geometry) -->
<!-- install.packages("xgboost", repos="http://dmlc.ml/drat/", type = "source") -->
<!-- library(xgboost) -->
<!-- library(magrittr) -->
<!-- library(dplyr) -->
<!-- library(Matrix) -->
<!-- # Partition data -->
<!-- set.seed(1234) -->
<!-- ind <- sample(2, nrow(data), replace = T, prob = c(0.8, 0.2)) -->
<!-- train <- data[ind==1,] -->
<!-- test <- data[ind==2,] -->
<!-- # Create matrix - One-Hot Encoding for Factor variables -->
<!-- trainm <- sparse.model.matrix(delay ~ .-1, data = train) -->
<!-- head(trainm) -->
<!-- train_label <- train[,"delay"] -->
<!-- train_matrix <- xgb.DMatrix(data = as.matrix(trainm), -->
<!-- label = train_label) -->
<!-- # -->
<!-- testm <- sparse.model.matrix(admit~.-1, data = test) -->
<!-- test_label <- test[,"delay"] -->
<!-- test_matrix <- xgb.DMatrix(data = as.matrix(testm), label = test_label) -->
<!-- #### WORK IN PROGRESS -->
<!-- ``` -->
</div>
</section>
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