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vtkPDescriptiveStatistics.cxx
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vtkPDescriptiveStatistics.cxx
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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 "vtkPDescriptiveStatistics.h"
#include "vtkCommunicator.h"
#include "vtkInformation.h"
#include "vtkInformationVector.h"
#include "vtkMultiBlockDataSet.h"
#include "vtkMultiProcessController.h"
#include "vtkObjectFactory.h"
#include "vtkTable.h"
#include "vtkVariant.h"
vtkStandardNewMacro(vtkPDescriptiveStatistics);
vtkCxxSetObjectMacro(vtkPDescriptiveStatistics, Controller, vtkMultiProcessController);
//------------------------------------------------------------------------------
vtkPDescriptiveStatistics::vtkPDescriptiveStatistics()
{
this->Controller = nullptr;
this->SetController(vtkMultiProcessController::GetGlobalController());
}
//------------------------------------------------------------------------------
vtkPDescriptiveStatistics::~vtkPDescriptiveStatistics()
{
this->SetController(nullptr);
}
//------------------------------------------------------------------------------
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;
}