258bacb2-7c07-4230-b4e2-f2b70475720097e6443d-3ebe-4dc3-a582-af561acbe503Different Rotation Per Interview DemoFalserontal634839840082370000634920223469970000634920223470370000TrueFalse10False0SurveyToGo.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>eqhtStart</QTp>
<Key>8</Key>
<Name>QuestionStart_8</Name>
<Behv>ecsbDefault</Behv>
<QDep>
<int>1</int>
</QDep>
<CDep />
</HData>
<HData>
<HTp>ehtQuestion</HTp>
<STp>estLast</STp>
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<Key>7</Key>
<Name>QuestionStart_7</Name>
<Behv>ecsbDefault</Behv>
<QDep>
<int>1</int>
</QDep>
<CDep />
</HData>
<HData>
<HTp>ehtQuestion</HTp>
<STp>estLast</STp>
<CTp>echtLast</CTp>
<QTp>eqhtStart</QTp>
<Key>6</Key>
<Name>QuestionStart_6</Name>
<Behv>ecsbDefault</Behv>
<QDep>
<int>1</int>
</QDep>
<CDep />
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<HData>
<HTp>ehtQuestion</HTp>
<STp>estLast</STp>
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<Key>5</Key>
<Name>QuestionStart_5</Name>
<Behv>ecsbDefault</Behv>
<QDep>
<int>1</int>
</QDep>
<CDep />
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<HData>
<HTp>ehtQuestion</HTp>
<STp>estLast</STp>
<CTp>echtLast</CTp>
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<Key>4</Key>
<Name>QuestionStart_4</Name>
<Behv>ecsbDefault</Behv>
<QDep>
<int>1</int>
</QDep>
<CDep />
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<HData>
<HTp>ehtQuestion</HTp>
<STp>estLast</STp>
<CTp>echtLast</CTp>
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<Key>3</Key>
<Name>QuestionStart_3</Name>
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<int>1</int>
</QDep>
<CDep />
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<Name>QuestionStart_2</Name>
<Behv>ecsbDefault</Behv>
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<int>1</int>
</QDep>
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<HTp>ehtQuestion</HTp>
<STp>estLast</STp>
<CTp>echtLast</CTp>
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<int>1</int>
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</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 QuestionEnd_0()
{
var currRot=DeviceIndex%6; //will work only when testing on a device\PC surveyor
if(currRot==0)
{
currRot+=1;
}
SetAnswer(CurrQues+1,currRot);
}
function QuestionStart_2()
{
var arr=StringToIntArray(SelectedAnswerText(2));
SetTextFormat(CurrQues,arr[0]);
}
function QuestionStart_3()
{
var arr=StringToIntArray(SelectedAnswerText(2));
SetTextFormat(CurrQues,arr[1]);
}
function QuestionStart_4()
{
var arr=StringToIntArray(SelectedAnswerText(2));
SetTextFormat(CurrQues,arr[2]);
}
function QuestionStart_5()
{
var arr=StringToIntArray(SelectedAnswerText(2));
SetTextFormat(CurrQues,arr[3]);
}
function QuestionStart_6()
{
var arr=StringToIntArray(SelectedAnswerText(2));
SetTextFormat(CurrQues,arr[4]);
}
function QuestionStart_7()
{
var arr=StringToIntArray(SelectedAnswerText(2));
SetTextFormat(CurrQues,arr[5]);
}
function QuestionStart_8()
{
RandomizeAnswers(CurrQues,StringToIntArray(SelectedAnswerText(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>
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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=