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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.
-------------------------------------------------------------------------*/
/**
* @class vtkPOrderStatistics
* @brief A class for parallel univariate order statistics
*
* 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.
*
* @par 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"
#include <map> // STL Header
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);
//@{
/**
* Get/Set the multiprocess controller. If no controller is set,
* single process is assumed.
*/
virtual void SetController(vtkMultiProcessController*);
vtkGetObjectMacro(Controller, vtkMultiProcessController);
//@}
/**
* Execute the parallel calculations required by the Learn option.
*/
virtual void Learn( vtkTable*,
vtkTable*,
vtkMultiBlockDataSet* );
protected:
vtkPOrderStatistics();
~vtkPOrderStatistics();
/**
* Reduce the collection of local histograms to the global one for data inputs
*/
bool Reduce( vtkIdTypeArray*,
vtkDataArray* );
/**
* Reduce the collection of local histograms to the global one for string inputs
*/
bool Reduce( vtkIdTypeArray*,
vtkIdType&,
char*,
std::map<vtkStdString,vtkIdType>& );
/**
* Broadcast reduced histogram to all processes in the case of string inputs
*/
bool Broadcast( std::map<vtkStdString,vtkIdType>&,
vtkIdTypeArray*,
vtkStringArray*,
vtkIdType );
vtkMultiProcessController* Controller;
private:
vtkPOrderStatistics(const vtkPOrderStatistics&) VTK_DELETE_FUNCTION;
void operator=(const vtkPOrderStatistics&) VTK_DELETE_FUNCTION;
};
#endif
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