itkNumericTraitsTensorPixel.h

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/*=========================================================================
 *
 *  Copyright NumFOCUS
 *
 *  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
 *
 *  Unless required by applicable law or agreed to in writing, software
 *  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 itkNumericTraitsTensorPixel_h
#define itkNumericTraitsTensorPixel_h
 
#include "itkNumericTraits.h"
#include "itkSymmetricSecondRankTensor.h"
 
namespace itk
{
template <typename T, unsigned int D>
class NumericTraits<SymmetricSecondRankTensor<T, D>>
{
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 = SymmetricSecondRankTensor<T, D>;
 
  using AbsType = SymmetricSecondRankTensor<ElementAbsType, D>;
 
  using AccumulateType = SymmetricSecondRankTensor<ElementAccumulateType, D>;
 
  using FloatType = SymmetricSecondRankTensor<ElementFloatType, D>;
 
  using PrintType = SymmetricSecondRankTensor<ElementPrintType, D>;
 
  using RealType = SymmetricSecondRankTensor<ElementRealType, D>;
 
  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
  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 const Self
  NonpositiveMin(const Self &)
  {
    return NonpositiveMin();
  }
 
  static const Self
  ZeroValue(const Self &)
  {
    return ZeroValue();
  }
 
  static const Self
  OneValue(const Self &)
  {
    return 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(SymmetricSecondRankTensor<T, D> & m, const unsigned int s)
  {
    if (s != D * (D + 1) / 2)
    {
      itkGenericExceptionMacro(<< "Cannot set the size of a SymmetricSecondRankTensor "
                                  "of dimension "
                               << D << " ( = size of " << D * (D + 1) / 2 << ") to " << s);
    }
    m.Fill(NumericTraits<T>::ZeroValue());
  }
 
  static unsigned int
  GetLength(const SymmetricSecondRankTensor<T, D> &)
  {
    return GetLength();
  }
 
  static unsigned int
  GetLength()
  {
    return D * (D + 1) / 2;
  }
 
  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 < GetLength(); i++)
    {
      mv[i] = v[i];
    }
  }
 
  static const Self ITKCommon_EXPORT Zero;
  static const Self ITKCommon_EXPORT One;
};
} // end namespace itk
 
#endif // itkNumericTraitsTensorPixel_h