itkNumericTraitsVariableLengthVectorPixel.h

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 *
 *  Licensed under the Apache License, Version 2.0 (the "License");
 *  you may not use this file except in compliance with the License.
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 *         http://www.apache.org/licenses/LICENSE-2.0.txt
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 *  See the License for the specific language governing permissions and
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#ifndef itkNumericTraitsVariableLengthVectorPixel_h
#define itkNumericTraitsVariableLengthVectorPixel_h

#include "itkVariableLengthVector.h"

// This work is part of the National Alliance for Medical Image Computing
// (NAMIC), funded by the National Institutes of Health through the NIH Roadmap
// for Medical Research, Grant U54 EB005149.

namespace itk
{
template< typename T >
class NumericTraits< VariableLengthVector< T > >
{
public:

  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;

  using ValueType = T;

  using Self = VariableLengthVector< T >;

  using AbsType = VariableLengthVector< ElementAbsType >;

  using AccumulateType = VariableLengthVector< ElementAccumulateType >;

  using FloatType = VariableLengthVector< ElementFloatType >;

  using PrintType = VariableLengthVector< ElementPrintType >;

  using RealType = VariableLengthVector< ElementRealType >;

  using ScalarRealType = ElementRealType;

  using MeasurementVectorType = Self;

  static const Self max(const Self & a)
  {
    Self b( a.Size() );

    b.Fill( NumericTraits< T >::max() );
    return b;
  }

  static const Self min(const Self & a)
  {
    Self b( a.Size() );

    b.Fill( NumericTraits< T >::min() );
    return b;
  }

  static const Self ZeroValue(const Self  & a)
  {
    Self b( a.Size() );

    b.Fill(NumericTraits< T >::ZeroValue());
    return b;
  }

  static const Self OneValue(const Self & a)
  {
    Self b( a.Size() );

    b.Fill(NumericTraits< T >::OneValue());
    return b;
  }

  static const Self NonpositiveMin(const Self & a)
  {
    Self b( a.Size() );
    b.Fill( NumericTraits< T >::NonpositiveMin() );
    return b;
  }

  static bool IsPositive( const Self & a)
  {
    bool flag = false;
    for (unsigned int i=0; i < GetLength( a ); i++)
      {
      if ( a[i] > NumericTraits< ValueType >::ZeroValue() )
        {
        flag = true;
        }
      }
    return flag;
  }

  static bool IsNonpositive( const Self & a)
  {
    bool flag = false;
    for (unsigned int i=0; i < GetLength( a ); i++)
      {
      if ( ! (a[i] > 0.0 ) )
        {
        flag = true;
        }
      }
    return flag;
  }

  static bool IsNegative( const Self & a)
  {
    bool flag = false;
    for (unsigned int i=0; i < GetLength( a ); i++)
      {
      if ( a[i] < NumericTraits< ValueType >::ZeroValue() )
        {
        flag = true;
        }
      }
    return flag;
  }

  static bool IsNonnegative( const Self & a)
  {
    bool flag = false;
    for (unsigned int i=0; i < GetLength( a ); i++)
      {
      if ( ! (a[i] < 0.0 ))
        {
        flag = true;
        }
      }
    return flag;
  }

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


  static void SetLength(VariableLengthVector< T > & m, const unsigned int s)
  {
    m.SetSize(s);
    m.Fill(NumericTraits< T >::ZeroValue());
  }

  static unsigned int GetLength(const VariableLengthVector< T > & m)
  {
    return m.GetSize();
  }

  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(v); i++ )
      {
      mv[i] = v[i];
      }
  }

};
} // end namespace itk

#endif // itkNumericTraitsVariableLengthVector_h