/usr/include/ITK-4.5/itkNumericTraitsVariableLengthVectorPixel.h is in libinsighttoolkit4-dev 4.5.0-3.
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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
*
* 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 __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
{
/**
* \brief Define numeric traits for VariableLengthVector.
* \tparam T Component type of VariableLenghtVector
*
* We provide here a generic implementation based on creating types of
* VariableLengthVector whose components are the types of the NumericTraits from
* the original VariableLengthVector components. This implementation require
* support for partial specializations, since it is based on the
* concept that:
* NumericTraits<VariableLengthVector< T > > is defined piecewise by
* VariableLengthVector< NumericTraits< T > >
*
* \note The Zero(), One(), min() and max() methods here take
* references to a pixel as input. This is due to the fact that the
* length of the VariableLengthVector is not known until
* run-time. Since the most common use of Zero and One is for
* comparison purposes or initialization of sums etc, this might just
* as easily be re-written with a pixel passed in as a reference and
* the length is inferred from this pixel.
*
* \sa NumericTraits
* \ingroup DataRepresentation
* \ingroup ITKCommon
*/
template< typename T >
class NumericTraits< VariableLengthVector< T > >
{
public:
typedef typename NumericTraits< T >::AbsType ElementAbsType;
typedef typename NumericTraits< T >::AccumulateType ElementAccumulateType;
typedef typename NumericTraits< T >::FloatType ElementFloatType;
typedef typename NumericTraits< T >::PrintType ElementPrintType;
typedef typename NumericTraits< T >::RealType ElementRealType;
/** Return the type of the native component type. */
typedef T ValueType;
typedef VariableLengthVector< T > Self;
/** Unsigned component type */
typedef VariableLengthVector< ElementAbsType > AbsType;
/** Accumulation of addition and multiplication. */
typedef VariableLengthVector< ElementAccumulateType > AccumulateType;
/** Typedef for operations that use floating point instead of real precision
*/
typedef VariableLengthVector< ElementFloatType > FloatType;
/** Return the type that can be printed. */
typedef VariableLengthVector< ElementPrintType > PrintType;
/** Type for real-valued scalar operations. */
typedef VariableLengthVector< ElementRealType > RealType;
/** Type for real-valued scalar operations. */
typedef ElementRealType ScalarRealType;
/** Measurement vector type */
typedef Self MeasurementVectorType;
/** Component wise defined element
*
* \note minimum value for floating pointer types is defined as
* minimum positive normalize value.
*/
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 >::Zero);
return b;
}
static const Self OneValue(const Self & a)
{
Self b( a.Size() );
b.Fill(NumericTraits< T >::One);
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;
}
/** Resize the input vector to the specified size. */
static void SetLength(VariableLengthVector< T > & m, const unsigned int s)
{
m.SetSize(s);
m.Fill(NumericTraits< T >::Zero);
}
/** Return the size of the vector. */
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];
}
}
#if !defined(ITK_LEGACY_REMOVE)
//The extra #ifdef is need because the itkLegacyMacro
//can not format a static const member function properly
//in the case of removing the code.
/** \deprecated use ZeroValue() instead */
itkLegacyMacro(static const Self Zero(const Self & a))
{
Self b( a.Size() );
b.Fill(NumericTraits< T >::Zero);
return b;
}
/** \deprecated use OneValue() instead */
itkLegacyMacro(static const Self One(const Self & a))
{
Self b( a.Size() );
b.Fill(NumericTraits< T >::One);
return b;
}
#endif
};
} // end namespace itk
#endif // __itkNumericTraitsVariableLengthVector_h
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