private JsonReport(StrykerOptions options, IReadOnlyInputComponent mutationReport)
{
_options = options;
Thresholds.Add("high", _options.Thresholds.High);
Thresholds.Add("low", _options.Thresholds.Low);
Merge(Files, GenerateReportComponents(mutationReport));
}
private JsonReport(IStrykerOptions options, IReadOnlyProjectComponent mutationReport)
{
_options = options;
Thresholds.Add("high", _options.Thresholds.High);
Thresholds.Add("low", _options.Thresholds.Low);
ProjectRoot = mutationReport.FullPath;
Merge(Files, GenerateReportComponents(mutationReport));
}
public override Boolean Load(Int64 forId)
{
Boolean success = false;
StringBuilder selectStatement = new StringBuilder();
System.Data.DataTable dataTable;
if (application.EnvironmentDatabase == null)
{
return(false);
}
selectStatement.Append("SELECT * FROM dbo.CareLevelActivity WHERE CareLevelActivityId = " + forId.ToString());
dataTable = application.EnvironmentDatabase.SelectDataTable(selectStatement.ToString(), 0);
if (dataTable.Rows.Count == 1)
{
MapDataFields(dataTable.Rows[0]);
success = true;
}
else
{
success = false;
}
if (success)
{
// LOAD CHILD OBJECTS
String selectActivities = "SELECT * FROM dbo.CareLevelActivityThreshold WHERE CareLevelActivityId = " + forId.ToString();
dataTable = application.EnvironmentDatabase.SelectDataTable(selectActivities.ToString(), 0);
foreach (System.Data.DataRow currentRow in dataTable.Rows)
{
Activity.ActivityThreshold threshold = new Activity.ActivityThreshold(application);
threshold.MapDataFields(currentRow);
Thresholds.Add(threshold);
}
}
return(success);
}
private void Iterate()
{
float d, curD;
KeyValuePair <int, Cluster> closestCl = new KeyValuePair <int, Cluster>();
//find closest cluster for each histogram unit and apply info
foreach (KeyValuePair <ushort, HistogramUnit> node in Histogram)
{
d = float.MaxValue;
foreach (KeyValuePair <int, Cluster> c in currentCluster)
{
curD = Math.Abs(c.Value.Centroid - (float)node.Key);
if (curD < d)
{
d = curD;
closestCl = c;
}
}
closestCl.Value.Counter += node.Value.Counter;
closestCl.Value.Sum += node.Value.Sum;
if (closestCl.Value.Min > node.Key)
{
closestCl.Value.Min = node.Key;
}
if (closestCl.Value.Max < node.Key)
{
closestCl.Value.Max = node.Key;
}
}
//calculate the new centroids
foreach (KeyValuePair <int, Cluster> c in currentCluster)
{
c.Value.Centroid = c.Value.Sum / c.Value.Counter;
}
//Calculate new thresholds
clusterArr.Clear();
for (int i = 0; i < currentCluster.Count; i++)
{
Cluster tempClust = null;
foreach (KeyValuePair <int, Cluster> cluster in currentCluster)
{
if (clusterArr.IndexOf(cluster.Value) == -1)
{
if (tempClust == null)
{
tempClust = cluster.Value;
}
else if (tempClust.Min > cluster.Value.Min)
{
tempClust = cluster.Value;
}
}
}
if (tempClust != null)
{
clusterArr.Add(tempClust);
}
}
Thresholds.Clear();
for (int i = 0, j = 1; j < clusterArr.Count; i++, j++)
{
Thresholds.Add((int)(clusterArr[i].Max + ((clusterArr[j].Min - clusterArr[i].Max) / 2)));
}
Thresholds.Add(int.MaxValue);
clusterArr.Clear();
//Clear;
foreach (KeyValuePair <int, Cluster> c in currentCluster)
{
c.Value.Min = float.MaxValue;
c.Value.Max = float.MinValue;
c.Value.Counter = 1;
c.Value.Sum = (long)c.Value.Centroid;
}
CheckConvergence();
}
public void SetThreshold(double low, double high, Action <bool> handler)
{
Thresholds.Add(new MyTuple <double, double, Action <bool> >(low, high, handler));
}
