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/*=========================================================================
Program: Visualization Toolkit
Module: vtkPOrderStatistics.h
Copyright (c) Ken Martin, Will Schroeder, Bill Lorensen
All rights reserved.
See Copyright.txt or http://www.kitware.com/Copyright.htm for details.
This software is distributed WITHOUT ANY WARRANTY; without even
the implied warranty of MERCHANTABILITY or FITNESS FOR A PARTICULAR
PURPOSE. See the above copyright notice for more information.
=========================================================================*/
/*-------------------------------------------------------------------------
Copyright 2011 Sandia Corporation.
Under the terms of Contract DE-AC04-94AL85000 with Sandia Corporation,
the U.S. Government retains certain rights in this software.
-------------------------------------------------------------------------*/
// .NAME vtkPOrderStatistics - A class for parallel univariate order statistics
// .SECTION Description
// vtkPOrderStatistics is vtkOrderStatistics subclass for parallel datasets.
// It learns and derives the global statistical model on each node, but assesses each
// individual data points on the node that owns it.
// .NOTE: It is assumed that the keys in the histogram table be contained in the set {0,...,n-1}
// of successive integers, where n is the number of rows of the summary table.
// If this requirement is not fulfilled, then the outcome of the parallel update of order
// tables is unpredictable but will most likely be a crash.
// Note that this requirement is consistent with the way histogram tables are constructed
// by the (serial) superclass and thus, if you are using this class as it is intended to be ran,
// then you do not have to worry about this requirement.
// .SECTION Thanks
// Thanks to Philippe Pebay from Sandia National Laboratories for implementing this class.
#ifndef vtkPOrderStatistics_h
#define vtkPOrderStatistics_h
#include "vtkFiltersParallelStatisticsModule.h" // For export macro
#include "vtkOrderStatistics.h"
//BTX
#include <map> // STL Header
//ETX
class vtkIdTypeArray;
class vtkMultiBlockDataSet;
class vtkMultiProcessController;
class VTKFILTERSPARALLELSTATISTICS_EXPORT vtkPOrderStatistics : public vtkOrderStatistics
{
public:
static vtkPOrderStatistics* New();
vtkTypeMacro(vtkPOrderStatistics, vtkOrderStatistics);
void PrintSelf(ostream& os, vtkIndent indent);
// Description:
// Get/Set the multiprocess controller. If no controller is set,
// single process is assumed.
virtual void SetController(vtkMultiProcessController*);
vtkGetObjectMacro(Controller, vtkMultiProcessController);
// Description:
// Execute the parallel calculations required by the Learn option.
virtual void Learn( vtkTable*,
vtkTable*,
vtkMultiBlockDataSet* );
protected:
vtkPOrderStatistics();
~vtkPOrderStatistics();
//BTX
// Description:
// Reduce the collection of local histograms to the global one for data inputs
bool Reduce( vtkIdTypeArray*,
vtkDataArray* );
// Description:
// Reduce the collection of local histograms to the global one for string inputs
bool Reduce( vtkIdTypeArray*,
vtkIdType&,
char*,
std::map<vtkStdString,vtkIdType>& );
// Description:
// Broadcast reduced histogram to all processes in the case of string inputs
bool Broadcast( std::map<vtkStdString,vtkIdType>&,
vtkIdTypeArray*,
vtkStringArray*,
vtkIdType );
//ETX
vtkMultiProcessController* Controller;
private:
vtkPOrderStatistics(const vtkPOrderStatistics&); // Not implemented.
void operator=(const vtkPOrderStatistics&); // Not implemented.
};
#endif
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