This file is indexed.

/usr/include/InsightToolkit/Common/itkImageHelper.h is in libinsighttoolkit3-dev 3.20.1-1.

This file is owned by root:root, with mode 0o644.

The actual contents of the file can be viewed below.

  1
  2
  3
  4
  5
  6
  7
  8
  9
 10
 11
 12
 13
 14
 15
 16
 17
 18
 19
 20
 21
 22
 23
 24
 25
 26
 27
 28
 29
 30
 31
 32
 33
 34
 35
 36
 37
 38
 39
 40
 41
 42
 43
 44
 45
 46
 47
 48
 49
 50
 51
 52
 53
 54
 55
 56
 57
 58
 59
 60
 61
 62
 63
 64
 65
 66
 67
 68
 69
 70
 71
 72
 73
 74
 75
 76
 77
 78
 79
 80
 81
 82
 83
 84
 85
 86
 87
 88
 89
 90
 91
 92
 93
 94
 95
 96
 97
 98
 99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
140
141
142
143
144
145
146
147
148
149
150
/*=========================================================================

  Program:   Insight Segmentation & Registration Toolkit
  Module:    itkImageHelper.h
  Language:  C++
  Date:      $Date$
  Version:   $Revision$

  Copyright (c) Insight Software Consortium. All rights reserved.
  See ITKCopyright.txt or http://www.itk.org/HTML/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 notices for more information.

=========================================================================*/
#ifndef __itkImageHelper_h
#define __itkImageHelper_h

#include "itkConceptChecking.h"

namespace itk
{

/** \class ImageHelper
 *  \brief Fast Index/Offset computation
 *
 * These helper methods use recursive templates to unroll the loops
 * of simple calculations. The resulting speed improvement varies from
 * compiler to compiler. Some gcc compilers with debug turned on
 * exhibit slight speed increases, but most compilers see
 * improvement. The ComputeOffset performance improvement is
 * impressive. For example, the Windows VS7.0 compiler shows almost a
 * factor of 2 speed improvement with the recursive templates. Usually
 * recursive templates use partial specialization to terminate
 * loops. Here we use a technique used by Brad King in the itk Concept
 * Checking code.
 *
 * \note 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.
 * Information on the National Centers for Biomedical Computing
 * can be obtained from http://nihroadmap.nih.gov/bioinformatics.
 *
 */

// Forward reference ImageBase
template <
  unsigned int NImageDimension
  > class ImageBase;

template <unsigned int NImageDimension, unsigned int NLoop>
class ImageHelper
{
public:
  typedef ImageBase<NImageDimension>              ImageType;
  typedef typename ImageType::IndexType           IndexType;
  typedef typename ImageType::OffsetType          OffsetType;
  typedef typename ImageType::IndexValueType      IndexValueType;
  typedef typename ImageType::OffsetValueType     OffsetValueType;
  typedef Concept::Detail::UniqueType_bool<false> UniqueTypeBoolFalse;
  typedef Concept::Detail::UniqueType_bool<true>  UniqueTypeBoolTrue;

  /** ComputeIndex with recursive templates */
  inline static void ComputeIndex(const IndexType &bufferedRegionIndex,
                                  OffsetValueType offset,
                                  const OffsetValueType offsetTable[],
                                  IndexType &index)
    {
    ImageHelper<NImageDimension,NLoop-1>::
    ComputeIndexInner(bufferedRegionIndex,
                      offset,
                      offsetTable,
                      index,
                      Concept::Detail::UniqueType_bool<(NLoop==1)>());
    }

  inline static void ComputeIndexInner(const IndexType &bufferedRegionIndex,
                                       OffsetValueType &offset,
                                       const OffsetValueType offsetTable[],
                                       IndexType &index,
                                       const UniqueTypeBoolFalse& )
    {
    index[NLoop] = static_cast<IndexValueType>(offset / offsetTable[NLoop]);
    offset = offset - (index[NLoop] * offsetTable[NLoop]);
    index[NLoop] = index[NLoop] + bufferedRegionIndex[NLoop];
    ImageHelper<NImageDimension, NLoop-1>::
      ComputeIndexInner(bufferedRegionIndex,
                        offset,
                        offsetTable,
                        index,
                        Concept::Detail::UniqueType_bool<(NLoop==1)>());

    }

  inline static void ComputeIndexInner(const IndexType &bufferedRegionIndex,
                                       OffsetValueType &offset,
                                       const OffsetValueType [],
                                       IndexType &index,
                                       const UniqueTypeBoolTrue& )
    {
    // Do last
    index[0] = bufferedRegionIndex[0] + static_cast<IndexValueType>(offset);
    }

  // ComputeOffset
  //
  inline static void ComputeOffset(const IndexType &bufferedRegionIndex,
                                   const IndexType &index,
                                   const OffsetValueType offsetTable[],
                                   OffsetValueType &offset)
    {
    ImageHelper<NImageDimension,NLoop-1>::
      ComputeOffsetInner(bufferedRegionIndex,
                         index,
                         offsetTable,
                         offset,
                         Concept::Detail::UniqueType_bool<(NLoop==1)>());
    }

  inline static void ComputeOffsetInner(const IndexType &bufferedRegionIndex,
                                       const IndexType &index,
                                       const OffsetValueType offsetTable[],
                                       OffsetValueType &offset,
                                       const UniqueTypeBoolFalse& )
    {
    offset = offset + (index[NLoop] - bufferedRegionIndex[NLoop])*offsetTable[NLoop];
    ImageHelper<NImageDimension, NLoop-1>::
      ComputeOffsetInner(bufferedRegionIndex,
                        index,
                        offsetTable,
                        offset,
                        Concept::Detail::UniqueType_bool<(NLoop==1)>());

    }

  inline static void ComputeOffsetInner(const IndexType &bufferedRegionIndex,
                                        const IndexType &index,
                                        const OffsetValueType [],
                                        OffsetValueType &offset,
                                        const UniqueTypeBoolTrue& )
    {
    // Do last
    offset = offset + index[0] - bufferedRegionIndex[0];
    }

};
} // end namespace itk

#endif