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/*=========================================================================
Program: Visualization Toolkit
Module: vtkPDescriptiveStatistics.cxx
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.
-------------------------------------------------------------------------*/
#include "vtkToolkits.h"
#include "vtkPDescriptiveStatistics.h"
#include "vtkCommunicator.h"
#include "vtkInformation.h"
#include "vtkInformationVector.h"
#include "vtkObjectFactory.h"
#include "vtkMultiBlockDataSet.h"
#include "vtkMultiProcessController.h"
#include "vtkTable.h"
#include "vtkVariant.h"
vtkStandardNewMacro(vtkPDescriptiveStatistics);
vtkCxxSetObjectMacro(vtkPDescriptiveStatistics, Controller, vtkMultiProcessController);
//-----------------------------------------------------------------------------
vtkPDescriptiveStatistics::vtkPDescriptiveStatistics()
{
this->Controller = 0;
this->SetController( vtkMultiProcessController::GetGlobalController() );
}
//-----------------------------------------------------------------------------
vtkPDescriptiveStatistics::~vtkPDescriptiveStatistics()
{
this->SetController( 0 );
}
//-----------------------------------------------------------------------------
void vtkPDescriptiveStatistics::PrintSelf(ostream& os, vtkIndent indent)
{
this->Superclass::PrintSelf(os, indent);
os << indent << "Controller: " << this->Controller << endl;
}
// ----------------------------------------------------------------------
void vtkPDescriptiveStatistics::Learn( vtkTable* inData,
vtkTable* inParameters,
vtkMultiBlockDataSet* outMeta )
{
if ( ! outMeta )
{
return;
}
// First calculate descriptive statistics on local data set
this->Superclass::Learn( inData, inParameters, outMeta );
vtkTable* primaryTab = vtkTable::SafeDownCast( outMeta->GetBlock( 0 ) );
if ( ! primaryTab )
{
return;
}
vtkIdType nRow = primaryTab->GetNumberOfRows();
if ( ! nRow )
{
// No statistics were calculated.
return;
}
// Make sure that parallel updates are needed, otherwise leave it at that.
int np = this->Controller->GetNumberOfProcesses();
if ( np < 2 )
{
return;
}
// Now get ready for parallel calculations
vtkCommunicator* com = this->Controller->GetCommunicator();
if ( ! com )
{
vtkErrorMacro("No parallel communicator.");
}
// (All) gather all sample sizes
int n_l = primaryTab->GetValueByName( 0, "Cardinality" ).ToInt(); // Cardinality
int* n_g = new int[np];
com->AllGather( &n_l, n_g, 1 );
// Iterate over all parameter rows
for ( int r = 0; r < nRow; ++ r )
{
// Reduce to global extrema
double extrema_l[2];
extrema_l[0] = primaryTab->GetValueByName( r, "Minimum" ).ToDouble();
// Collect - max instead of max so a single reduce op. (minimum) can process both extrema at a time
extrema_l[1] = - primaryTab->GetValueByName( r, "Maximum" ).ToDouble();
double extrema_g[2];
com->AllReduce( extrema_l,
extrema_g,
2,
vtkCommunicator::MIN_OP );
primaryTab->SetValueByName( r, "Minimum", extrema_g[0] );
// max = - min ( - max )
primaryTab->SetValueByName( r, "Maximum", - extrema_g[1] );
// (All) gather all local M statistics
double M_l[4];
M_l[0] = primaryTab->GetValueByName( r, "Mean" ).ToDouble();
M_l[1] = primaryTab->GetValueByName( r, "M2" ).ToDouble();
M_l[2] = primaryTab->GetValueByName( r, "M3" ).ToDouble();
M_l[3] = primaryTab->GetValueByName( r, "M4" ).ToDouble();
double* M_g = new double[4 * np];
com->AllGather( M_l, M_g, 4 );
// Aggregate all local quadruples of M statistics into global ones
int ns = n_g[0];
double mean = M_g[0];
double mom2 = M_g[1];
double mom3 = M_g[2];
double mom4 = M_g[3];
for ( int i = 1; i < np; ++ i )
{
int ns_l = n_g[i];
int N = ns + ns_l;
int o = 4 * i;
double mean_part = M_g[o];
double mom2_part = M_g[o + 1];
double mom3_part = M_g[o + 2];
double mom4_part = M_g[o + 3];
double delta = mean_part - mean;
double delta_sur_N = delta / static_cast<double>( N );
double delta2_sur_N2 = delta_sur_N * delta_sur_N;
int ns2 = ns * ns;
int ns_l2 = ns_l * ns_l;
int prod_ns = ns * ns_l;
mom4 += mom4_part
+ prod_ns * ( ns2 - prod_ns + ns_l2 ) * delta * delta_sur_N * delta2_sur_N2
+ 6. * ( ns2 * mom2_part + ns_l2 * mom2 ) * delta2_sur_N2
+ 4. * ( ns * mom3_part - ns_l * mom3 ) * delta_sur_N;
mom3 += mom3_part
+ prod_ns * ( ns - ns_l ) * delta * delta2_sur_N2
+ 3. * ( ns * mom2_part - ns_l * mom2 ) * delta_sur_N;
mom2 += mom2_part
+ prod_ns * delta * delta_sur_N;
mean += ns_l * delta_sur_N;
ns = N;
}
primaryTab->SetValueByName( r, "Mean", mean );
primaryTab->SetValueByName( r, "M2", mom2 );
primaryTab->SetValueByName( r, "M3", mom3 );
primaryTab->SetValueByName( r, "M4", mom4 );
// Set global statistics
primaryTab->SetValueByName( r, "Cardinality", ns );
// Clean-up
delete [] M_g;
}
delete [] n_g;
}
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