466f689e-8448-47da-8c81-ffd2cc83b53175e81023-20ac-40b2-b039-e153b3cfff65Randomly Selecting Aware BrandsFalseDoobloSupport-Daniel6359441460266300006359441679178654283155378903999970000TrueFalse8False0SurveyToGo.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>eqhtEntranceRule</QTp>
<Key>5</Key>
<Name>HandleQuestionEnter_5</Name>
<Behv>ecsbDefault</Behv>
<QDep>
<int>4</int>
</QDep>
<CDep />
</HData>
<HData>
<HTp>ehtQuestion</HTp>
<STp>estLast</STp>
<CTp>echtLast</CTp>
<QTp>eqhtStart</QTp>
<Key>5</Key>
<Name>QuestionStart_5</Name>
<Behv>ecsbDefault</Behv>
<QDep />
<CDep />
</HData>
<HData>
<HTp>ehtQuestion</HTp>
<STp>estLast</STp>
<CTp>echtLast</CTp>
<QTp>eqhtStart</QTp>
<Key>4</Key>
<Name>QuestionStart_4</Name>
<Behv>ecsbDefault</Behv>
<QDep />
<CDep />
</HData>
<HData>
<HTp>ehtQuestion</HTp>
<STp>estLast</STp>
<CTp>echtLast</CTp>
<QTp>eqhtStart</QTp>
<Key>3</Key>
<Name>QuestionStart_3</Name>
<Behv>ecsbDefault</Behv>
<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>1</int>
</QDep>
<CDep />
</HData>
<HData>
<HTp>ehtQuestion</HTp>
<STp>estLast</STp>
<CTp>echtLast</CTp>
<QTp>eqhtEnd</QTp>
<Key>0</Key>
<Name>QuestionEnd_0</Name>
<Behv>ecsbDefault</Behv>
<QDep>
<int>1</int>
</QDep>
<CDep />
</HData>
<HData>
<HTp>ehtChapter</HTp>
<STp>estLast</STp>
<CTp>echtEnterIteration</CTp>
<QTp>eqhtLast</QTp>
<Key>1</Key>
<Name>IterationEnter_1</Name>
<Behv>ecsbDefault</Behv>
<QDep />
<CDep />
</HData>
</Items>
<Source>// Question symbols
var A1 = null;var A2 = null;var Q_3 = null;var A3 = null;var A4 = null;var A5 = null;var Q_7 = null;
function StartSurvey()
{
/*_@_SS_START_@*/
/*_@_SS_END_@*/
}
/*_@_USERCODE_START_@*/
function dblContainsAll(inQTarget,inAnswers)
{
var retVal = true;
var numOfAnswers = arguments.length-1;
var i;
for (i=0;i< numOfAnswers;i++) {
retVal = retVal && Contains(inQTarget,arguments[i+1]);
}
return retVal;
}
function dblToJSArray(inArray){
var retVal = new Array();
for(var i=0; i<inArray.length; i++){
retVal.push(inArray[i]);
}
return retVal;
}
function dblColorFromRGB(red, green, blue){
return (255<<24)+ (red<<16) + (green<<8) + blue;
}
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;
return dist;
}
function dblIsInGPSFence (fenceLat, fenceLon, distInKM)
{
var dist = dblDistanceFromGPSFence(fenceLat, fenceLon);
var retVal = false;
if(dist<distInKM){
retVal=true;}
else{
retVal=false;
}
return retVal;
}
function dblDistanceBetweenTwoLocations (firstLat, firstLon, secondLat, secondLon)
{
var pi = Math.PI;
var firstLatInRad=firstLat* pi / 180;
var firstLonInRad=firstLon* pi / 180;
var targetLatInRad = secondLat * pi / 180;
var targetLonInRad = secondLon * pi / 180;
var dist = Math.acos(Math.sin(targetLatInRad) * Math.sin(firstLatInRad) + Math.cos(targetLatInRad) * Math.cos(firstLatInRad) * Math.cos(targetLonInRad - firstLonInRad)) * 6371;
return dist;
}
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 dblContainsAll(inQTarget,inAnswers)
//{
// var retVal = true;
// var numOfAnswers = arguments.length-1;
// var i;
// for (i=0;i< numOfAnswers;i++) {
// retVal = retVal && Contains(inQTarget,arguments[i+1]);
// }
// 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 dblNumOfTopicsContainsChoice(inQ, inValueToCheck)
{
var retVal = 0;
var i=0;
for (i=1; i<=GetTopicCount(inQ);i++){
if (IsTopicVisible(inQ,i) && ContainsChoice(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 dblSetSpecificTopicChoice(inQ, inTopicIndex, inValue)
{
var curTopics = GetTopicCount(inQ);
var newAnswers=new Array();
newAnswers.push(inValue);
var i;
var ansArr = GetAnswersChoice(inQ, inTopicIndex);
for (i=0;i < ansArr.length;i++)
{
newAnswers.push(ansArr[i]);
}
SetAnswerChoice(inQ, inTopicIndex, 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);
}
function dblDateToSQLDate(inDate)
{
var retVal = "";
retVal = inDate.Year+"-"+inDate.Month+"-"+inDate.Day;
return retVal;
}
function dblOrderArray(inOrderArray, inDataArray)
{
var retVal = CreateRandomArray(inOrderArray.length);
var i = 0;
for (i = 0; i < inOrderArray.length; i++) {
retVal[i] = inDataArray[inOrderArray[i]-1];
}
return retVal;
}
function dblRespondentID ()
{
var retVal = "".concat("D", SID, "-", DeviceIndex);
return retVal;
}
/*_@_USERCODE_END_@*/
//_@_AddHandler_@{ Begin Add Handlers
//_@_AddHandler_@} End Add Handlers
//_@_HandlerZone_@{
function
IterationEnter_1()
{
return (//Enter the iteration only if the brand is in the randomly selected ones
Contains(A2, IterationIndex));
}
function QuestionEnd_0()
{
//Clear the answers of the Dummy question. This is needed for cases where the responded goes back to this questions and changes the selected brands
ClearAnswer(A2);
//The function GetAnswers has 3 overloads.
//We use here the one that gets the current questions answers array in a random order up to 3 answers
var ans = GetAnswers(CurrQues, 3, true);
//We use the answers in the array to set the Dummy (A2)
for (var i=0; i < ans.length; i++)
{
dblSetSpecificAnswer(A2, ans[i], true);
}
}
function QuestionStart_2()
{
SetTextFormat(CurrQues, SelectedAnswerText(A2));
}
function QuestionStart_3()
{
SetTextFormat(CurrQues, IterationName);
}
function QuestionStart_4()
{
SetTextFormat(CurrQues, IterationName);
}
function QuestionStart_5()
{
SetTextFormat(CurrQues, IterationName);
}
function HandleQuestionEnter_5()
{
return (//Enter only if mentioned that bought
Answer(A4) == 1);
}
//_@_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};
var eExtraLabel = { MatrixLower:0, MatrixMiddle:1, MatrixUpper:2, MatrixIrrelevant:3, ScaleLower:4, ScaleMiddle:5, ScaleUpper:6, CountersTotal:7,CountersRemaining:8, NumericGridTotal:9, NumericGridRemaining:10 };
var eULQuestionType = {eqtYesNo: 0,
eqtAmerican: 1,
eqtNumeric: 2,
eqtFreeText: 3,
eqtMultiSelect: 4,
eqtRating: 5,
eqtScale: 6,
eqtMatrix: 7,
eqtMultiTopics: 8,
eqtNoQuestion: 9,
eqtDateTime: 10,
eqtCounters: 11,
eqtStopper: 12,
eqtMassiveMultiSelect: 13,
eqtExpression: 14,
eqtMultiText: 15,
eqtMultiNumeric: 16,
eqtMultimedia: 17,
eqtMultiTopicsSelect: 18,
eqtGPSQuestion: 19,
eqtListSource: 20,
eqtPositionTopicsOnImage: 21,
eqtNumOfTypes: 22};
</Source>
</UserLogicContents>FalseFalseFalse-101.32.0.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-1532726297721-11-120-1-165792-1-1-10-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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+jx6ycvmvTu0f8DVNIIpTEAAAA=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==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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=H4sIAAAAAAAEAO29B2AcSZYlJi9tynt/SvVK1+B0oQiAYBMk2JBAEOzBiM3mkuwdaUcjKasqgcplVmVdZhZAzO2dvPfee++999577733ujudTif33/8/XGZkAWz2zkrayZ4hgKrIHz9+fB8/Iv7Hv/cffPx7vFuU6WVeN0W1/Oyj3fHOR2m+nFazYnnx2Ufr9nz74KPf4+jx6y+eNPwv/bOuL/Prs6dH+59+ev7pwcN8+2B//2B7/8Es2z6YHuxun5/P9qbTg3uT+/d2H9+1zR8/WU/f5i39tvP4rv1dP32RLfL07tHjp/l5ti7bn1hXbYZ2wd+P31yvcnzKPx//xDpvWsKaoGxTR96fj19mdb5s9Qv7x+OvlifznLqbHS+bKxryE8ILvd6VgX0zo9uNj+7oRX6Vvp7neWu+509vM+J77zPindsP+C7P6v8DdMBmNAUCAAA=