private Tuple <int, int> LinearizeTo(MLArtifact linear, ArtifactWithBuildMeta current)
{
linear.Queues.Add(current.Meta.BuildQueue);
linear.Builds.Add(current.Meta.BuidId);
// same hash == same size
linear.SizeBytes = current.Artifact.ReportedSize;
// now, do the pips....
var totalIpips = LinearizePips(linear, current.Artifact.InputPips, current, true);
var totalOpips = LinearizePips(linear, current.Artifact.OutputPips, current, false);
return(new Tuple <int, int>(totalIpips, totalOpips));
}
private int LinearizePips(MLArtifact linear, List <BxlPipData> pips, ArtifactWithBuildMeta artifact, bool inputPips)
{
var pipCount = 0;
var avgDeps = 0.0;
var avgIns = 0.0;
var avgOuts = 0.0;
var avgPrio = 0.0;
var avgWeight = 0.0;
var avgTC = 0.0;
var avgSC = 0.0;
var avgPos = 0.0;
foreach (var pip in pips)
{
avgDeps += pip.DependencyCount;
avgIns += pip.InputCount;
avgOuts += pip.OutputCount;
avgPrio += pip.Priority;
avgWeight += pip.Weight;
avgTC += pip.TagCount;
avgSC += pip.SemaphoreCount;
avgPos += inputPips? CalculateRelativeStartPosition(pip, artifact.Meta) : CalculateRelativeEndPosition(pip, artifact.Meta);
++pipCount;
}
// now assign depending on type
if (inputPips)
{
linear.AvgDepsForInputPips += avgDeps;
linear.AvgInputsForInputPips += avgIns;
linear.AvgOutputsForInputPips += avgOuts;
linear.AvgPriorityForInputPips += avgPrio;
linear.AvgWeightForInputPips += avgWeight;
linear.AvgTagCountForInputPips += avgTC;
linear.AvgSemaphoreCountForInputPips += avgSC;
linear.AvgPositionForInputPips += avgPos;
linear.AvgInputPips += pipCount;
}
else
{
linear.AvgDepsForOutputPips += avgDeps;
linear.AvgInputsForOutputPips += avgIns;
linear.AvgOutputsForOutputPips += avgOuts;
linear.AvgPriorityForOutputPips += avgPrio;
linear.AvgWeightForOutputPips += avgWeight;
linear.AvgTagCountForOutputPips += avgTC;
linear.AvgSemaphoreCountForOutputPips += avgSC;
linear.AvgPositionForOutputPips += avgPos;
linear.AvgOutputPips += pipCount;
}
return(pipCount);
}
