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/*=========================================================================

Program:   Visualization Toolkit
Module:    vtkBivariateStatisticsAlgorithm.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 2010 Sandia Corporation.
  Under the terms of Contract DE-AC04-94AL85000 with Sandia Corporation,
  the U.S. Government retains certain rights in this software.
  -------------------------------------------------------------------------*/
// .NAME vtkBivariateStatistics - Base class for bivariate statistics 
// algorithms
//
// .SECTION Description
// This class specializes statistics algorithms to the bivariate case, where
// a number of pairs of columns of interest can be selected in the input data set.
// This is done by the means of the following functions:
//
// ResetColumns() - reset the list of columns of interest.
// Add/RemoveColum( namColX, namColY ) - try to add/remove column pair ( namColX,
// namColy ) to/from the list.
// SetColumnStatus ( namCol, status ) - mostly for UI wrapping purposes, try to 
// add/remove (depending on status) namCol from a list of buffered columns, from
// which all possible pairs are generated.
// The verb "try" is used in the sense that neither attempting to 
// repeat an existing entry nor to remove a non-existent entry will work.
// 
// .SECTION Thanks
// Thanks to Philippe Pebay and David Thompson from Sandia National Laboratories 
// for implementing this class.

#ifndef __vtkBivariateStatisticsAlgorithm_h
#define __vtkBivariateStatisticsAlgorithm_h

#include "vtkStatisticsAlgorithm.h"

class vtkMultiBlockDataSet;
class vtkTable;

class VTK_INFOVIS_EXPORT vtkBivariateStatisticsAlgorithm : public vtkStatisticsAlgorithm
{
public:
  vtkTypeMacro(vtkBivariateStatisticsAlgorithm, vtkStatisticsAlgorithm);
  void PrintSelf(ostream& os, vtkIndent indent);

  // Description:
  // Convenience method to create a request with a single column name pair 
  //  (\p namColX, \p namColY) in a single call; this is the preferred method to select 
  // columns pairs, ensuring selection consistency (a pair of columns per request).
  //
  // Unlike SetColumnStatus(), you need not call RequestSelectedColumns() after AddColumnPair().
  //
  // Warning: \p namColX and \p namColY are only checked for their validity as strings;
  // no check is made that either are valid column names.
  void AddColumnPair( const char* namColX, const char* namColY );

  // Description:
  // Use the current column status values to produce a new request for statistics
  // to be produced when RequestData() is called.
  // Unlike the superclass implementation, this version adds a new request for every
  // possible pairing of the selected columns
  // instead of a single request containing all the columns.
  virtual int RequestSelectedColumns();

protected:
  vtkBivariateStatisticsAlgorithm();
  ~vtkBivariateStatisticsAlgorithm();

  // Description:
  // Execute the calculations required by the Assess option.
  virtual void Assess( vtkTable* inData,
                       vtkMultiBlockDataSet* inMeta,
                       vtkTable* outData ); 

private:
  vtkBivariateStatisticsAlgorithm(const vtkBivariateStatisticsAlgorithm&); // Not implemented
  void operator=(const vtkBivariateStatisticsAlgorithm&);   // Not implemented
};

#endif