06787cb4-801e-4ba9-95b7-427820259d5d97e6443d-3ebe-4dc3-a582-af561acbe503Calculating ExampleFalserontal6349201982494000006349202190156872783155378903999970000TrueFalse5False0SurveyToGo.UserLogic.Creator.SurveyLogicTempl<?xml version="1.0" encoding="utf-16"?>
<UserLogicContents xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xmlns:xsd="http://www.w3.org/2001/XMLSchema">
<Items>
<HData>
<HTp>ehtQuestion</HTp>
<STp>estLast</STp>
<CTp>echtLast</CTp>
<QTp>eqhtExpression</QTp>
<Key>3</Key>
<Name>QuestionExpression_3</Name>
<Behv>ecsbDefault</Behv>
<QDep>
<int>0</int>
<int>1</int>
</QDep>
<CDep />
</HData>
<HData>
<HTp>ehtQuestion</HTp>
<STp>estLast</STp>
<CTp>echtLast</CTp>
<QTp>eqhtStart</QTp>
<Key>2</Key>
<Name>QuestionStart_2</Name>
<Behv>ecsbDefault</Behv>
<QDep>
<int>0</int>
<int>1</int>
</QDep>
<CDep />
</HData>
</Items>
<Source> function StartSurvey()
{
/*_@_SS_START_@*/
/*_@_SS_END_@*/
}
/*_@_USERCODE_START_@*/
function IsRange(inQIdx, inBegin, inEnd) {
var retVal = false;
var j;
for (j=inBegin;j<=inEnd;j++) {
if (Contains(inQIdx, j)) {
retVal = true;
}
}
return retVal;
}
function dblDistanceFromGPSFence (fenceLat, fenceLon)
{
var pi = Math.PI;
var fenceLatInRad=fenceLat* pi / 180;
var fenceLonInRad=fenceLon* pi / 180;
var targetLatInRad = GetGPSLocation().Latitude * pi / 180;
var targetLonInRad = GetGPSLocation().Longitude * pi / 180;
var dist = Math.acos(Math.sin(targetLatInRad) * Math.sin(fenceLatInRad) + Math.cos(targetLatInRad) * Math.cos(fenceLatInRad) * Math.cos(targetLonInRad - fenceLonInRad)) * 6371;
var retVal;
retVal=dist;
return retVal;
}
function dblIsInGPSFence (fenceLat, fenceLon, distInKM)
{
var dist = dblDistanceFromGPSFence(fenceLat, fenceLon);
var retVal = false;
if(dist<distInKM){
retVal=true;}
else{
retVal=false;
}
return retVal;
}
function dblSumNumericGrid(inQ)
{
var retVal=0;
var numOfTopics=GetTopicCount(inQ);
var i;
for(i=1; i<=numOfTopics; i++)
{
if (IsTopicVisible(inQ,i)) {
retVal+=AnswerChoice(inQ,i);
}
}
return retVal;
}
function dblContainsOneOf(inQTarget,inAnswers)
{
var retVal = false;
var numOfAnswers = inAnswers.length;
var i;
for (i=0;i< numOfAnswers;i++) {
if (Contains(inQTarget,inAnswers[i])) {
retVal = true;
break;
}
}
return retVal;
}
function dblContainsAllOf(inQTarget,inAnswers)
{
var retVal = true;
var numOfAnswers = inAnswers.length;
var i;
for (i=0;i< numOfAnswers;i++) {
retVal = retVal && Contains(inQTarget,inAnswers[i]);
}
return retVal;
}
function dblNumOfTopicsContains(inQ, inValueToCheck)
{
var retVal = 0;
var i=0;
for (i=1; i<=GetTopicCount(inQ);i++){
if (IsTopicVisible(inQ,i) && AnswerChoice(inQ,i) == inValueToCheck) {
retVal++;
}
}
return retVal;
}
function dblNumOfIterContains(inQ, inValueToCheck)
{
var retVal = 0;
var i=0;
for (i=1; i<IterationIndex;i++){
if (ContainsIter(inQ,inValueToCheck,i)) {
retVal++;
}
}
return retVal;
}
function dblSetSpecificTopic(inQ, inTopicIndex, inValue)
{
var curTopics = GetTopicCount(inQ);
var newAnswers=new Array();
var newArIdx=0;
var i;
for (i=0;i< curTopics;i++) {
var actualTopic = i+1;
if (actualTopic == inTopicIndex) {
newAnswers[i] = inValue;
}
else {
newAnswers[i] = AnswerChoice(inQ,actualTopic);
}
}
SetAnswer(inQ,newAnswers);
}
function dblSetSpecificAnswer(inQ, inAnswerIdx, inChecked)
{
var curAnswers = GetAnswers(inQ);
var newAnswers=new Array();
var newArIdx=0;
var i;
for (i=0;i< curAnswers.length;i++) {
if (curAnswers[i] != inAnswerIdx) {
newAnswers[newArIdx] = curAnswers[i];
newArIdx++;
}
}
if (inChecked) {
newAnswers[newArIdx] = inAnswerIdx;
}
if (newAnswers.length > 0) {
SetAnswer(inQ,newAnswers);
}
else {
ClearAnswer(inQ);
}
}
function dblSetAnswersByAnswers(inQTarget,inQids)
{
var numOfQues = inQids.length;
var numOfAnswers = GetAnswerCount(inQids[0]);
var i;
for (i=1;i<= numOfAnswers;i++) {
var contained = false;
var j;
for (j=0; j<numOfQues;j++) {
contained = Contains(inQids[j],i);
if (contained) {
break;
}
}
if (contained) {
dblSetSpecificAnswer(inQTarget, i,true);
}
}
}
function dblSetAnswersByAnswersEx (inQTarget,inQids,inExcludeHiddenTargetAnswers)
{
var numOfQues = inQids.length;
var numOfAnswers = GetAnswerCount(inQids[0]);
var i;
// go over all answers and for each check if it exists in the source questions
for (i=1;i<= numOfAnswers;i++) {
var contained = false;
var j;
// go over all source questions and check if the answer is checked
for (j=0; j<numOfQues;j++) {
contained = Contains(inQids[j],i);
if (contained) {
break;
}
}
// in case it was contained check if need to add to target question
if (contained) {
var addAnswer = true;
if ((inExcludeHiddenTargetAnswers) && !IsAnswerVisible(inQTarget,i)) {
addAnswer = false;
}
if (addAnswer) {
dblSetSpecificAnswer(inQTarget, i,true);
}
}
}
}
function dblSumOfTopics (inQuesIdx)
{
var retVal = 0;
var i;
var numOfTopics = GetTopicCount(inQuesIdx);
for (i=0;i<numOfTopics;i++) {
var currTopic = i+1;
if (IsTopicVisible (inQuesIdx, currTopic)) {
var currValue = AnswerChoice(inQuesIdx, currTopic);
if (currValue != -99999) {
retVal += currValue;
}
}
}
return retVal;
}
function dblFormatNumberToCurrency(num) {
var retVal = "";
var num = num.toString().replace(/\$|\,/g,'');
if(isNaN(num))
num = "0";
var sign = (num == (num = Math.abs(num)));
num = Math.floor(num*100+0.50000000001);
var cents = num%100;
num = Math.floor(num/100).toString();
var addZero = "";
if(cents<10) {
addZero = "0";
}
for (var i = 0; i < Math.floor((num.length-(1+i))/3); i++) {
num = num.substring(0,num.length-(4*i+3))+','+num.substring(num.length-(4*i+3));
}
retVal = (((sign)?'':'-') + '$' + num + '.' +addZero+ cents)
return retVal;
}
function dblToFloat(inNumber)
{
var retVal = parseFloat(inNumber.toString().replace(",", "."));
return retVal;
}
function dblSetAnswerVisible(inQTarget,inValue,inReset,inAnswers)
{
var retVal = false;
var numOfAnswers = inAnswers.length;
var i;
if (inReset) {
SetAnswerVisible(CurrQues,true);
}
for (i=0;i< numOfAnswers;i++) {
SetAnswerVisible(inQTarget, inAnswers[i], inValue);
}
return retVal;
}
function dblContainsByText(inQIdx, inText)
{
var retVal = false;
var i=0;
for (i=0; i<GetAnswerCount(inQIdx); i++){
var idx = i+1;
var text = AnswerText(inQIdx,idx);
if (text == inText) {
if (Contains(inQIdx,idx)) {
retVal = true;
break;
}
}
}
return retVal;
}
function dblFilterAnswersByAnswersByText (inTargetQ, inShow,inSourceQ)
{
SetAnswerVisible(inTargetQ,!inShow);
var i =0;
for (i=0; i<GetAnswerCount(inTargetQ);i++){
var idx = i+1;
var text = AnswerText(inTargetQ,idx);
if (dblContainsByText(inSourceQ,text)) {
SetAnswerVisible(inTargetQ,idx,inShow);
}
}
return true;
}
function dblFilterTopicsByAnswersByText (inTargetQ, inShow, inSourceQ)
{
SetTopicVisible(inTargetQ,!inShow);
var i=0;
for (i=0; i<GetTopicCount(inTargetQ); i++){
var idx = i+1;
var text = GetTopicOriginalText(inTargetQ,idx);
if (dblContainsByText(inSourceQ,text)) {
SetTopicVisible(inTargetQ,idx,inShow);
}
}
return true;
}
function dblGetSubjectStoreRow(inStoreName,inIDColumnName,inID)
{
var retVal = null;
try {
var table = GetTableFromStore(inStoreName,"",inIDColumnName+"='"+inID+"'","");
if (table != null && table.RowCount >0) {
var row = table[0];
retVal = row;
}
}
catch(err)
{
retVal = null;
}
return retVal;
}
function dblIsRegEx (pattern,value) {
var pattern = new RegExp(pattern);
return pattern.test(value);
}
/*_@_USERCODE_END_@*/
//_@_AddHandler_@{ Begin Add Handlers
//_@_AddHandler_@} End Add Handlers
//_@_HandlerZone_@{
function QuestionStart_2()
{
var ans;
ans =( Answer(QRef(1))+Answer(QRef(2)) )*10+1;
SetTextFormat(CurrQues,Answer(QRef(1)),Answer(QRef(2)),ans);
}
function QuestionExpression_3()
{
return Answer(1)+Answer(2);
}
//_@_HandlerZone_@}
function JSDBLInitAllScript()
{
}var eJumpQuestionResult = {ejqrNext:0, ejqrSubmit:1,ejqrCancel:2,ejqrFilter:3,ejqrNone:4,ejqrIndex:5,ejqrChapter:6};
var ePlatform = {None:0, Web:1, PC:2, PDA:4, MobileWeb:8, SmartPhone:16, Android:32, AllWindows:31, AllJSEnabled: 34, All:63};
var eAttachmentSource = {easDefault:0};
var eAskButtons = {OKCancel:0, YesNoCancel:1, YesNo:2};
var eAskResult = {None:0, OK:1, Yes:2, No:3, Cancel:4};
var eQuotaFilledResult = {Default:0,Filter:1,Cancel:2,Nothing:3};
</Source>
</UserLogicContents>FalseFalseFalse-101.32.0.0AAEAAAD/////AQAAAAAAAAAMAgAAAEdVc2VyTG9naWNDcmVhdG9yLCBWZXJzaW9uPTEuMC4xLjMsIEN1bHR1cmU9bmV1dHJhbCwgUHVibGljS2V5VG9rZW49bnVsbAUBAAAAKVN1cnZleVRvR28uVXNlckxvZ2ljLkNyZWF0b3IuQXNzZW1ibHlEYXRhDgAAAAZtVGFibGUNbVN1cnZleUNvbnN0cw9tU3VydmV5U25pcHBldHMNbUNoYXB0ZXJUYWJsZQ1tTGFzdEJ1Y2tldElED21TdXJ2ZXlJbml0Q29kZRBtU3VydmV5QmxvY2tDb2RlEW1MYXN0TGlzdFNvdXJjZUlEE21MYXN0Q3VzdG9tQWN0aW9uSUQHbUZsYXZvcg5tVXNlR2xvYmFsQ29kZQttVXNlT3JnQ29kZQ5tU3RyaWN0SlNDaGVjaxdtTGFzdEF0dGFjaG1lbnRTb3VyY2VJRAMDAwMAAQEAAAQAAAAAHlN5c3RlbS5Db2xsZWN0aW9ucy5IYXNodGFibGVbXRxTeXN0ZW0uQ29sbGVjdGlvbnMuSGFzaHRhYmxlHlN5c3RlbS5Db2xsZWN0aW9ucy5IYXNodGFibGVbXR5TeXN0ZW0uQ29sbGVjdGlvbnMuSGFzaHRhYmxlW10ICAgkU3VydmV5VG9Hby5Vc2VyTG9naWMuQ3JlYXRvci5lRmxhdm9yAgAAAAEBAQgCAAAACQMAAAAJBAAAAAkFAAAACQYAAAABAAAABgcAAAAACQcAAAABAAAAAQAAAAX4////JFN1cnZleVRvR28uVXNlckxvZ2ljLkNyZWF0b3IuZUZsYXZvcgEAAAAHdmFsdWVfXwAIAgAAAAIAAAABAQEBAAAABwMAAAAAAQAAAAYAAAADHFN5c3RlbS5Db2xsZWN0aW9ucy5IYXNodGFibGUJCQAAAAkKAAAACQsAAAAJDAAAAAkNAAAACQ4AAAAEBAAAABxTeXN0ZW0uQ29sbGVjdGlvbnMuSGFzaHRhYmxlBwAAAApMb2FkRmFjdG9yB1ZlcnNpb24IQ29tcGFyZXIQSGFzaENvZGVQcm92aWRlcghIYXNoU2l6ZQRLZXlzBlZhbHVlcwAAAwMABQULCBxTeXN0ZW0uQ29sbGVjdGlvbnMuSUNvbXBhcmVyJFN5c3RlbS5Db2xsZWN0aW9ucy5JSGFzaENvZGVQcm92aWRlcgjsUTg/AAAAAAoKCwAAAAkPAAAACRAAAAAHBQAAAAABAAAABQAAAAMcU3lzdGVtLkNvbGxlY3Rpb25zLkhhc2h0YWJsZQkRAAAACRIAAAAJEwAAAAkUAAAACRUAAAAHBgAAAAABAAAACAAAAAMcU3lzdGVtLkNvbGxlY3Rpb25zLkhhc2h0YWJsZQkWAAAACRcAAAAJGAAAAAkZAAAACRoAAAAJGwAAAAkcAAAACR0AAAABCQAAAAQAAADsUTg/AAAAAAoKCwAAAAkeAAAACR8AAAABCgAAAAQAAADsUTg/AAAAAAoKCwAAAAkgAAAACSEAAAABCwAAAAQAAADsUTg/AAAAAAoKCwAAAAkiAAAACSMAAAABDAAAAAQAAADsUTg/AQAAAAoKCwAAAAkkAAAACSUAAAABDQAAAAQAAADsUTg/AQAAAAoKCwAAAAkmAAAACScAAAABDgAAAAQAAADsUTg/AAAAAAoKCwAAAAkoAAAACSkAAAAQDwAAAAAAAAAQEAAAAAAAAAABEQAAAAQAAADsUTg/AAAAAAoKCwAAAAkqAAAACSsAAAABEgAAAAQAAADsUTg/AAAAAAoKCwAAAAksAAAACS0AAAABEwAAAAQAAADsUTg/AAAAAAoKCwAAAAkuAAAACS8AAAABFAAAAAQAAADsUTg/AAAAAAoKCwAAAAkwAAAACTEAAAABFQAAAAQAAADsUTg/AAAAAAoKCwAAAAkyAAAACTMAAAABFgAAAAQAAADsUTg/AAAAAAoKCwAAAAk0AAAACTUAAAABFwAAAAQAAADsUTg/AAAAAAoKCwAAAAk2AAAACTcAAAABGAAAAAQAAADsUTg/AAAAAAoKCwAAAAk4AAAACTkAAAABGQAAAAQAAADsUTg/AAAAAAoKCwAAAAk6AAAACTsAAAABGgAAAAQAAADsUTg/AAAAAAoKCwAAAAk8AAAACT0AAAABGwAAAAQAAADsUTg/AAAAAAoKCwAAAAk+AAAACT8AAAABHAAAAAQAAADsUTg/AAAAAAoKCwAAAAlAAAAACUEAAAABHQAAAAQAAADsUTg/AAAAAAoKCwAAAAlCAAAACUMAAAAQHgAAAAAAAAAQHwAAAAAAAAAQIAAAAAAAAAAQIQAAAAAAAAAQIgAAAAAAAAAQIwAAAAAAAAAQJAAAAAEAAAAICAMAAAAQJQAAAAEAAAAJRAAAABAmAAAAAQAAAAgIAgAAABAnAAAAAQAAAAlFAAAAECgAAAAAAAAAECkAAAAAAAAAECoAAAAAAAAAECsAAAAAAAAAECwAAAAAAAAAEC0AAAAAAAAAEC4AAAAAAAAAEC8AAAAAAAAAEDAAAAAAAAAAEDEAAAAAAAAAEDIAAAAAAAAAEDMAAAAAAAAAEDQAAAAAAAAAEDUAAAAAAAAAEDYAAAAAAAAAEDcAAAAAAAAAEDgAAAAAAAAAEDkAAAAAAAAAEDoAAAAAAAAAEDsAAAAAAAAAEDwAAAAAAAAAED0AAAAAAAAAED4AAAAAAAAAED8AAAAAAAAAEEAAAAAAAAAAEEEAAAAAAAAAEEIAAAAAAAAAEEMAAAAAAAAABUQAAAAvU3VydmV5VG9Hby5Vc2VyTG9naWMuQ3JlYXRvci5RdWVzdGlvbkV4cHJlc3Npb24GAAAAGVF1ZXN0aW9uSW5mbyttUXVlc3Rpb25JZHgWUXVlc3Rpb25JbmZvK21IYXNFcnJvciJRdWVzdGlvbkluZm8rbVF1ZXN0aW9uRGVwZW5kZW5jaWVzIVF1ZXN0aW9uSW5mbyttQ2hhcHRlckRlcGVuZGVuY2llcwNleHAIc2hvcnRFeHAAAAMDAQAIARxTeXN0ZW0uQ29sbGVjdGlvbnMuQXJyYXlMaXN0HFN5c3RlbS5Db2xsZWN0aW9ucy5BcnJheUxpc3QBAgAAAAMAAAAACUYAAAAJRwAAAAZIAAAAG3JldHVybiBBbnN3ZXIoMSkrQW5zd2VyKDIpOwAFRQAAACtTdXJ2ZXlUb0dvLlVzZXJMb2dpYy5DcmVhdG9yLlF1ZXN0aW9uQWN0aW9uBQAAABlRdWVzdGlvbkluZm8rbVF1ZXN0aW9uSWR4FlF1ZXN0aW9uSW5mbyttSGFzRXJyb3IiUXVlc3Rpb25JbmZvK21RdWVzdGlvbkRlcGVuZGVuY2llcyFRdWVzdGlvbkluZm8rbUNoYXB0ZXJEZXBlbmRlbmNpZXMGQWN0aW9uAAADAwEIARxTeXN0ZW0uQ29sbGVjdGlvbnMuQXJyYXlMaXN0HFN5c3RlbS5Db2xsZWN0aW9ucy5BcnJheUxpc3QCAAAAAgAAAAAJSQAAAAlKAAAABksAAAB2dmFyIGFuczsNCmFucyA9KCBBbnN3ZXIoUVJlZigxKSkrQW5zd2VyKFFSZWYoMikpICkqMTArMTsNClNldFRleHRGb3JtYXQoQ3VyclF1ZXMsQW5zd2VyKFFSZWYoMSkpLEFuc3dlcihRUmVmKDIpKSxhbnMpOwRGAAAAHFN5c3RlbS5Db2xsZWN0aW9ucy5BcnJheUxpc3QDAAAABl9pdGVtcwVfc2l6ZQhfdmVyc2lvbgUAAAgICUwAAAACAAAAAQAAAAFHAAAARgAAAAlNAAAAAAAAAAAAAAABSQAAAEYAAAAJTgAAAAIAAAADAAAAAUoAAABGAAAACU0AAAAAAAAAAAAAABBMAAAABAAAAAgIAAAAAAgIAQAAAA0CEE0AAAAAAAAAEE4AAAAEAAAACAgAAAAACAgBAAAADQIL-1432726297721-11-110-1-165792-1-1-10-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H4sIAAAAAAAEAO29B2AcSZYlJi9tynt/SvVK1+B0oQiAYBMk2JBAEOzBiM3mkuwdaUcjKasqgcplVmVdZhZAzO2dvPfee++999577733ujudTif33/8/XGZkAWz2zkrayZ4hgKrIHz9+fB8/Iv7Hv/cffPx7vFuU6WVeN0W1/Oyj3fHOR2m+nFazYnnx2Ufr9nz74KPf4+jx6+MXTXr36P8B+qCcIzEAAAA=H4sIAAAAAAAEAO29B2AcSZYlJi9tynt/SvVK1+B0oQiAYBMk2JBAEOzBiM3mkuwdaUcjKasqgcplVmVdZhZAzO2dvPfee++999577733ujudTif33/8/XGZkAWz2zkrayZ4hgKrIHz9+fB8/Iv7Hv/cffPx7vFuU6WVeN0W1/Oyj3fHOR2m+nFazYnnx2Ufr9nz74KPf4+jx6zdVk949+n8AZjUmjDEAAAA=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H4sIAAAAAAAEAO29B2AcSZYlJi9tynt/SvVK1+B0oQiAYBMk2JBAEOzBiM3mkuwdaUcjKasqgcplVmVdZhZAzO2dvPfee++999577733ujudTif33/8/XGZkAWz2zkrayZ4hgKrIHz9+fB8/Iv7Hv/cffPx7vFuU6WVeN0W1/Oyj3fHOR2m+nFazYnnx2Ufr9nz74KPf4+jx6+M3TXr36P8B2S/MCTEAAAA=H4sIAAAAAAAEAO29B2AcSZYlJi9tynt/SvVK1+B0oQiAYBMk2JBAEOzBiM3mkuwdaUcjKasqgcplVmVdZhZAzO2dvPfee++999577733ujudTif33/8/XGZkAWz2zkrayZ4hgKrIHz9+fB8/Iv7Hv/cffPx7vFuU6WVeN0W1/Oyj3fHOR2m+nFazYnnx2Ufr9nz74KPf4+jx69cnXzbp3aP/B1t6G+cyAAAAH4sIAAAAAAAEAO29B2AcSZYlJi9tynt/SvVK1+B0oQiAYBMk2JBAEOzBiM3mkuwdaUcjKasqgcplVmVdZhZAzO2dvPfee++999577733ujudTif33/8/XGZkAWz2zkrayZ4hgKrIHz9+fB8/Iv7Hv/cffPx7vFuU6WVeN0W1/Oyj3fHOR2m+nFazYnnx2Ufr9nz74KPf4+jx65dNevfo/wF1B76WMAAAAA==H4sIAAAAAAAEAO29B2AcSZYlJi9tynt/SvVK1+B0oQiAYBMk2JBAEOzBiM3mkuwdaUcjKasqgcplVmVdZhZAzO2dvPfee++999577733ujudTif33/8/XGZkAWz2zkrayZ4hgKrIHz9+fB8/Iv7Hv/cffPx7vFuU6WVeN0W1/Oyj3fHOR2m+nFazYnnx2Ufr9nz74KPf4+jxq8+b9O7R/wNCnyKPMAAAAA==H4sIAAAAAAAEAO29B2AcSZYlJi9tynt/SvVK1+B0oQiAYBMk2JBAEOzBiM3mkuwdaUcjKasqgcplVmVdZhZAzO2dvPfee++999577733ujudTif33/8/XGZkAWz2zkrayZ4hgKrIHz9+fB8/Iv7Hv/cffPx7vFuU6WVeN0W1/Oyj3fHOR2m+nFazYnnx2Ufr9nz74KPf4+jxyesmvXv0/wA+f8jSMAAAAA==H4sIAAAAAAAEAO29B2AcSZYlJi9tynt/SvVK1+B0oQiAYBMk2JBAEOzBiM3mkuwdaUcjKasqgcplVmVdZhZAzO2dvPfee++999577733ujudTif33/8/XGZkAWz2zkrayZ4hgKrIHz9+fB8/Iv7Hv/cffPx7vFuU6WVeN0W1/Oyj3fHOR2m+nFazYnnx2Ufr9nz74KPf4+jx69cnTXr36P8B28cSlTEAAAA=H4sIAAAAAAAEAO29B2AcSZYlJi9tynt/SvVK1+B0oQiAYBMk2JBAEOzBiM3mkuwdaUcjKasqgcplVmVdZhZAzO2dvPfee++999577733ujudTif33/8/XGZkAWz2zkrayZ4hgKrIHz9+fB8/Iv7Hv/cffPx7vFuU6WVeN0W1/Oyj3fHOR2m+nFazYnnx2Ufr9nz74KPf4+jxTxw36d2j/wdMGPaGMAAAAA==H4sIAAAAAAAEAO29B2AcSZYlJi9tynt/SvVK1+B0oQiAYBMk2JBAEOzBiM3mkuwdaUcjKasqgcplVmVdZhZAzO2dvPfee++999577733ujudTif33/8/XGZkAWz2zkrayZ4hgKrIHz9+fB8/Iv7Hv/cffPx7vFuU6WVeN0W1/Oyj3fHOR2m+nFazYnnx2Ufr9nz74KPf4+jx6+dNevfo/wH2fa4zMAAAAA==H4sIAAAAAAAEAO29B2AcSZYlJi9tynt/SvVK1+B0oQiAYBMk2JBAEOzBiM3mkuwdaUcjKasqgcplVmVdZhZAzO2dvPfee++999577733ujudTif33/8/XGZkAWz2zkrayZ4hgKrIHz9+fB8/Iv7Hv/cffPx7vFuU6WVeN0W1/Oyj3fHOR2m+nFazYnnx2Ufr9nz74KPf4+jx6zd5k949+n8Axy2WxjEAAAA=