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/*=========================================================================
Program: Visualization Toolkit
Module: vtkNormalizeMatrixVectors.cxx
-------------------------------------------------------------------------
Copyright 2008 Sandia Corporation.
Under the terms of Contract DE-AC04-94AL85000 with Sandia Corporation,
the U.S. Government retains certain rights in this software.
-------------------------------------------------------------------------
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.
=========================================================================*/
#include "vtkArrayCoordinates.h"
#include "vtkCommand.h"
#include "vtkInformation.h"
#include "vtkInformationVector.h"
#include "vtkNormalizeMatrixVectors.h"
#include "vtkObjectFactory.h"
#include "vtkSmartPointer.h"
#include "vtkTypedArray.h"
#include <algorithm>
///////////////////////////////////////////////////////////////////////////////
// vtkNormalizeMatrixVectors
vtkStandardNewMacro(vtkNormalizeMatrixVectors);
vtkNormalizeMatrixVectors::vtkNormalizeMatrixVectors() :
VectorDimension(1),
PValue(2)
{
}
vtkNormalizeMatrixVectors::~vtkNormalizeMatrixVectors()
{
}
void vtkNormalizeMatrixVectors::PrintSelf(ostream& os, vtkIndent indent)
{
this->Superclass::PrintSelf(os, indent);
os << indent << "VectorDimension: " << this->VectorDimension << endl;
os << indent << "PValue: " << this->PValue << endl;
}
int vtkNormalizeMatrixVectors::RequestData(
vtkInformation*,
vtkInformationVector** inputVector,
vtkInformationVector* outputVector)
{
int vector_dimension = std::min(1, std::max(0, this->VectorDimension));
double p_value = std::max(1.0, this->PValue);
vtkArrayData* const input = vtkArrayData::GetData(inputVector[0]);
if(input->GetNumberOfArrays() != 1)
{
vtkErrorMacro(<< "vtkNormalizeMatrixVectors requires vtkArrayData containing exactly one array as input.");
return 0;
}
vtkTypedArray<double>* const input_array = vtkTypedArray<double>::SafeDownCast(
input->GetArray(static_cast<vtkIdType>(0)));
if(!input_array)
{
vtkErrorMacro(<< "vtkNormalizeMatrixVectors requires a vtkTypedArray<double> as input.");
return 0;
}
if(input_array->GetDimensions() != 2)
{
vtkErrorMacro(<< "vtkNormalizeMatrixVectors requires a matrix as input.");
return 0;
}
vtkTypedArray<double>* const output_array = vtkTypedArray<double>::SafeDownCast(input_array->DeepCopy());
const vtkArrayRange vectors = input_array->GetExtent(vector_dimension);
const vtkIdType value_count = input_array->GetNonNullSize();
// Create temporary storage for computed vector weights ...
std::vector<double> weight(vectors.GetSize(), 0.0);
// Store the sum of the squares of each vector value ...
vtkArrayCoordinates coordinates;
for(vtkIdType n = 0; n != value_count; ++n)
{
output_array->GetCoordinatesN(n, coordinates);
weight[coordinates[vector_dimension] - vectors.GetBegin()] += pow(output_array->GetValueN(n), p_value);
}
// Convert the sums into weights, avoiding divide-by-zero ...
for(vtkIdType i = 0; i != vectors.GetSize(); ++i)
{
const double length = pow(weight[i],1.0/p_value);
weight[i] = length ? 1.0 / length : 0.0;
}
// Apply the weights to each vector ...
for(vtkIdType n = 0; n != value_count; ++n)
{
output_array->GetCoordinatesN(n, coordinates);
output_array->SetValueN(n, output_array->GetValueN(n) * weight[coordinates[vector_dimension] - vectors.GetBegin()]);
}
vtkArrayData* const output = vtkArrayData::GetData(outputVector);
output->ClearArrays();
output->AddArray(output_array);
output_array->Delete();
return 1;
}
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