itkNumericTraitsDiffusionTensor3DPixel.h

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 *  Copyright Insight Software Consortium
 *
 *  Licensed under the Apache License, Version 2.0 (the "License");
 *  you may not use this file except in compliance with the License.
 *  You may obtain a copy of the License at
 *
 *         http://www.apache.org/licenses/LICENSE-2.0.txt
 *
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 *  distributed under the License is distributed on an "AS IS" BASIS,
 *  WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
 *  See the License for the specific language governing permissions and
 *  limitations under the License.
 *
 *=========================================================================*/
#ifndef itkNumericTraitsDiffusionTensor3DPixel_h
#define itkNumericTraitsDiffusionTensor3DPixel_h

#include "itkNumericTraits.h"
#include "itkDiffusionTensor3D.h"

// This file is meant to define numeric traits for tensor pixels types in itk

namespace itk
{
template< typename T >
class NumericTraits< DiffusionTensor3D< T > >
{
private:

  using ElementAbsType = typename NumericTraits< T >::AbsType;
  using ElementAccumulateType = typename NumericTraits< T >::AccumulateType;
  using ElementFloatType = typename NumericTraits< T >::FloatType;
  using ElementPrintType = typename NumericTraits< T >::PrintType;
  using ElementRealType = typename NumericTraits< T >::RealType;

public:

  using ValueType = T;

  using Self = DiffusionTensor3D< T >;

  using AbsType = DiffusionTensor3D< ElementAbsType >;

  using AccumulateType = DiffusionTensor3D< ElementAccumulateType >;

  using FloatType = DiffusionTensor3D< ElementFloatType >;

  using PrintType = DiffusionTensor3D< ElementPrintType >;

  using RealType = DiffusionTensor3D< ElementRealType >;

  using ScalarRealType = ElementRealType;

  using MeasurementVectorType = Self;

  static const Self max(const Self &)
  {
    return Self( NumericTraits< T >::max() );
  }

  static const Self min(const Self &)
  {
    return Self( NumericTraits< T >::min() );
  }

  static const Self NonpositiveMin(const Self &)
  {
    return Self( NumericTraits< T >::NonpositiveMin() );
  }

  static const Self ZeroValue(const Self &)
  {
    return Self( NumericTraits< T >::ZeroValue() );
  }

  static const Self OneValue(const Self &)
  {
    return Self( NumericTraits< T >::OneValue() );
  }

  static const Self max()
  {
    return Self( NumericTraits< T >::max() );
  }

  static const Self min()
  {
    return Self( NumericTraits< T >::min() );
  }

  static const Self NonpositiveMin()
  {
    return Self( NumericTraits< T >::NonpositiveMin() );
  }

  static const Self ZeroValue()
  {
    return Self( NumericTraits< T >::ZeroValue() );
  }

  static const Self OneValue()
  {
    return Self( NumericTraits< T >::OneValue() );
  }

  static constexpr bool IsSigned = NumericTraits< ValueType >::IsSigned;
  static constexpr bool IsInteger = NumericTraits< ValueType >::IsInteger;
  static constexpr bool IsComplex = NumericTraits< ValueType >::IsComplex;

  static void SetLength(DiffusionTensor3D< T > & m, const unsigned int s)
  {
    if ( s != 6 )
      {
      itkGenericExceptionMacro(<< "Cannot set the size of a DiffusionTensor3D "
                               "to anything other than 6.");
      }
    m.Fill(NumericTraits< T >::ZeroValue());
  }

  static unsigned int GetLength(const DiffusionTensor3D< T > &)
  {
    return 6;
  }

  static unsigned int GetLength()
  {
    return 6;
  }

  static void AssignToArray( const Self & v, MeasurementVectorType & mv )
  {
    mv = v;
  }

  template<typename TArray>
  static void AssignToArray( const Self & v, TArray & mv )
  {
    for( unsigned int i=0; i<6; i++ )
      {
      mv[i] = v[i];
      }
  }

  static const Self ITKCommon_EXPORT Zero;
  static const Self ITKCommon_EXPORT One;
};
} // end namespace itk

#endif // itkNumericTraitsTensorPixel_h