public static AST.Address NormalPerRange_Step(DAG dag,
Excel.Workbook wb,
HashSet <AST.Address> known_good,
long max_duration_in_ms,
Stopwatch sw)
{
AST.Address flagged_cell = null;
//Generate normal distributions for every input range until an error is found
//Then break out of the loop and report it.
foreach (var vect_addr in dag.allVectors())
{
var normal_dist = new DataDebugMethods.NormalDistribution(dag.getCOMRefForRange(vect_addr).Range);
// Get top outlier which has not been inspected already
if (normal_dist.getErrorsCount() > 0)
{
for (int i = 0; i < normal_dist.getErrorsCount(); i++)
{
// check for timeout
if (sw.ElapsedMilliseconds > max_duration_in_ms)
{
throw new TimeoutException("Timeout exception in NormalPerRange_Step.");
}
var flagged_com = normal_dist.getErrorAtPosition(i);
flagged_cell = AST.Address.AddressFromCOMObject(flagged_com, wb);
if (known_good.Contains(flagged_cell))
{
flagged_cell = null;
}
else
{
break;
}
}
}
//If a cell is flagged, do not move on to the next range (if you do, you'll overwrite the flagged_cell
if (flagged_cell != null)
{
break;
}
}
return(flagged_cell);
}
public static AST.Address NormalAllOutputs_Step(DAG dag,
Excel.Application app,
Excel.Workbook wb,
HashSet<AST.Address> known_good,
long max_duration_in_ms,
Stopwatch sw)
{
AST.Address flagged_cell = null;
//Generate a normal distribution for the entire set of inputs
var normal_dist = new DataDebugMethods.NormalDistribution(dag.terminalInputVectors(), app);
// Get top outlier
if (normal_dist.getErrorsCount() > 0)
{
for (int i = 0; i < normal_dist.getErrorsCount(); i++)
{
// check for timeout
if (sw.ElapsedMilliseconds > max_duration_in_ms)
{
throw new TimeoutException("Timeout exception in NormalAllOutputs_Step.");
}
var flagged_com = normal_dist.getErrorAtPosition(i);
flagged_cell = AST.Address.AddressFromCOMObject(flagged_com, wb);
if (known_good.Contains(flagged_cell))
{
flagged_cell = null;
}
else
{
break;
}
}
}
return flagged_cell;
}
public static AST.Address NormalAllOutputs_Step(DAG dag,
Excel.Application app,
Excel.Workbook wb,
HashSet <AST.Address> known_good,
long max_duration_in_ms,
Stopwatch sw)
{
AST.Address flagged_cell = null;
//Generate a normal distribution for the entire set of inputs
var normal_dist = new DataDebugMethods.NormalDistribution(dag.terminalInputVectors(), app);
// Get top outlier
if (normal_dist.getErrorsCount() > 0)
{
for (int i = 0; i < normal_dist.getErrorsCount(); i++)
{
// check for timeout
if (sw.ElapsedMilliseconds > max_duration_in_ms)
{
throw new TimeoutException("Timeout exception in NormalAllOutputs_Step.");
}
var flagged_com = normal_dist.getErrorAtPosition(i);
flagged_cell = AST.Address.AddressFromCOMObject(flagged_com, wb);
if (known_good.Contains(flagged_cell))
{
flagged_cell = null;
}
else
{
break;
}
}
}
return(flagged_cell);
}
public static AST.Address NormalPerRange_Step(DAG dag,
Excel.Workbook wb,
HashSet<AST.Address> known_good,
long max_duration_in_ms,
Stopwatch sw)
{
AST.Address flagged_cell = null;
//Generate normal distributions for every input range until an error is found
//Then break out of the loop and report it.
foreach (var vect_addr in dag.allVectors())
{
var normal_dist = new DataDebugMethods.NormalDistribution(dag.getCOMRefForRange(vect_addr).Range);
// Get top outlier which has not been inspected already
if (normal_dist.getErrorsCount() > 0)
{
for (int i = 0; i < normal_dist.getErrorsCount(); i++)
{
// check for timeout
if (sw.ElapsedMilliseconds > max_duration_in_ms)
{
throw new TimeoutException("Timeout exception in NormalPerRange_Step.");
}
var flagged_com = normal_dist.getErrorAtPosition(i);
flagged_cell = AST.Address.AddressFromCOMObject(flagged_com, wb);
if (known_good.Contains(flagged_cell))
{
flagged_cell = null;
}
else
{
break;
}
}
}
//If a cell is flagged, do not move on to the next range (if you do, you'll overwrite the flagged_cell
if (flagged_cell != null)
{
break;
}
}
return flagged_cell;
}