public float GetTopMarkerTimeRange(ProfileAnalysis analysis, int count, int depthFilter)
{
if (analysis == null)
{
return(0.0f);
}
var frameSummary = analysis.GetFrameSummary();
if (frameSummary == null)
{
return(0.0f);
}
var markers = analysis.GetMarkers();
List <string> nameFilters = m_ProfileAnalyzerWindow.GetNameFilters();
List <string> nameExcludes = m_ProfileAnalyzerWindow.GetNameExcludes();
float range = 0;
foreach (var marker in markers)
{
if (depthFilter >= 0 && marker.minDepth != depthFilter)
{
continue;
}
if (nameFilters.Count > 0)
{
if (!m_ProfileAnalyzerWindow.NameInFilterList(marker.name, nameFilters))
{
continue;
}
}
if (nameExcludes.Count > 0)
{
if (m_ProfileAnalyzerWindow.NameInExcludeList(marker.name, nameExcludes))
{
continue;
}
}
range += marker.msAtMedian;
}
// Minimum is the frame time range
// As we can have unaccounted markers
if (range < frameSummary.msMedian)
{
range = frameSummary.msMedian;
}
return(range);
}
protected override TreeViewItem BuildRoot()
{
int idForhiddenRoot = -1;
int depthForHiddenRoot = -1;
ProfileTreeViewItem root = new ProfileTreeViewItem(idForhiddenRoot, depthForHiddenRoot, "root", null);
List <string> nameFilters = m_ProfileAnalyzerWindow.GetNameFilters();
List <string> nameExcludes = m_ProfileAnalyzerWindow.GetNameExcludes();
m_MaxMedian = 0.0f;
m_MaxTotal = 0.0;
m_MaxCount = 0;
m_MaxCountMean = 0.0f;
var markers = m_Model.GetMarkers();
for (int index = 0; index < markers.Count; ++index)
{
var marker = markers[index];
if (nameFilters.Count > 0)
{
if (!m_ProfileAnalyzerWindow.NameInFilterList(marker.name, nameFilters))
{
continue;
}
}
if (nameExcludes.Count > 0)
{
if (m_ProfileAnalyzerWindow.NameInExcludeList(marker.name, nameExcludes))
{
continue;
}
}
var item = new ProfileTreeViewItem(index, 0, marker.name, marker);
root.AddChild(item);
float ms = item.data.msMedian;
if (ms > m_MaxMedian)
{
m_MaxMedian = ms;
}
double msTotal = item.data.msTotal;
if (msTotal > m_MaxTotal)
{
m_MaxTotal = msTotal;
}
int count = item.data.count;
if (count > m_MaxCount)
{
m_MaxCount = count;
}
float countMean = item.data.countMean;
if (countMean > m_MaxCountMean)
{
m_MaxCountMean = countMean;
}
}
return(root);
}
protected override TreeViewItem BuildRoot()
{
int idForhiddenRoot = -1;
int depthForHiddenRoot = -1;
ProfileTreeViewItem root = new ProfileTreeViewItem(idForhiddenRoot, depthForHiddenRoot, "root", null);
List <string> nameFilters = m_ProfileAnalyzerWindow.GetNameFilters();
List <string> nameExcludes = m_ProfileAnalyzerWindow.GetNameExcludes();
float minDiff = float.MaxValue;
float maxDiff = 0.0f;
double totalMinDiff = float.MaxValue;
double totalMaxDiff = 0.0f;
float countMinDiff = float.MaxValue;
float countMaxDiff = 0.0f;
float countMeanMinDiff = float.MaxValue;
float countMeanMaxDiff = 0.0f;
for (int index = 0; index < m_Pairings.Count; ++index)
{
var pairing = m_Pairings[index];
if (nameFilters.Count > 0)
{
if (!m_ProfileAnalyzerWindow.NameInFilterList(pairing.name, nameFilters))
{
continue;
}
}
if (nameExcludes.Count > 0)
{
if (m_ProfileAnalyzerWindow.NameInExcludeList(pairing.name, nameExcludes))
{
continue;
}
}
var item = new ComparisonTreeViewItem(index, 0, pairing.name, pairing);
root.AddChild(item);
float diff = Diff(item);
if (diff < minDiff)
{
minDiff = diff;
}
if (diff > maxDiff && diff < float.MaxValue)
{
maxDiff = diff;
}
double totalDiff = TotalDiff(item);
if (totalDiff < totalMinDiff)
{
totalMinDiff = totalDiff;
}
if (totalDiff > totalMaxDiff && totalDiff < float.MaxValue)
{
totalMaxDiff = totalDiff;
}
float countDiff = CountDiff(item);
if (countDiff < countMinDiff)
{
countMinDiff = countDiff;
}
if (countDiff > countMaxDiff && countDiff < float.MaxValue)
{
countMaxDiff = countDiff;
}
float countMeanDiff = CountMeanDiff(item);
if (countMeanDiff < countMeanMinDiff)
{
countMeanMinDiff = countMeanDiff;
}
if (countMeanDiff > countMeanMaxDiff && countMeanDiff < float.MaxValue)
{
countMeanMaxDiff = countMeanDiff;
}
}
m_DiffRange = Math.Max(Math.Abs(minDiff), Math.Abs(maxDiff));
m_TotalDiffRange = Math.Max(Math.Abs(totalMinDiff), Math.Abs(totalMaxDiff));
m_CountDiffRange = Math.Max(Math.Abs(countMinDiff), Math.Abs(countMaxDiff));
m_CountMeanDiffRange = Math.Max(Math.Abs(countMeanMinDiff), Math.Abs(countMeanMaxDiff));
return(root);
}
