Fix SEGV LTM Edit

.. when using Moving Average trend.

src/LTMPlot.cpp

@@ -755,6 +755,7 @@ LTMPlot::setData(LTMSettings *set)
                 // we need to fill in the gaps sadly
                 int lcount = xdata[count];
 
+                if (lcount) {
                     // calculated values
                     QVector<double> xtrend(lcount);
                     QVector<double> btrend(lcount);
@@ -767,7 +768,7 @@ LTMPlot::setData(LTMSettings *set)
                     ytrend[0] = ydata[0];
                     xtrend[0] = 0;
 
-                for (int n=1,i=1; i<= lcount; i++) {
+                    for (int n=1,i=1; i<= lcount && i<xdata.size(); i++) {
 
                         // fill in gaps (and check bounds as we go too)
                         while (n<=xdata[i] && n<lcount) {
@@ -787,6 +788,7 @@ LTMPlot::setData(LTMSettings *set)
                     curves.insert(trendSymbol, trend);
                 }
             }
+        }
 
         // highlight outliers
         if (metricDetail.topOut > 0 && metricDetail.topOut < count && count > 10) {
@@ -1860,6 +1862,7 @@ LTMPlot::setCompareData(LTMSettings *set)
                     // we need to fill in the gaps sadly
                     int lcount = xdata[count];
 
+                    if (lcount) {
                         // calculated values
                         QVector<double> xtrend(lcount);
                         QVector<double> btrend(lcount);
@@ -1872,7 +1875,7 @@ LTMPlot::setCompareData(LTMSettings *set)
                         ytrend[0] = ydata[0];
                         xtrend[0] = 0;
 
-                    for (int n=1,i=1; i<= lcount; i++) {
+                        for (int n=1,i=1; i<= lcount && i<xdata.size(); i++) {
 
                             // fill in gaps (and check bounds as we go too)
                             while (n<=xdata[i] && n<lcount) {
@@ -1892,6 +1895,7 @@ LTMPlot::setCompareData(LTMSettings *set)
                         curves.insert(trendSymbol, trend);
                     }
                 }
+            }
 
             // highlight outliers
             if (metricDetail.topOut > 0 && metricDetail.topOut < count && count > 10) {