MeVisLab Toolbox Reference
mlFloatingPointMatrix.h
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3** Copyright 2012, MeVis Medical Solutions AG
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12
13#ifndef ML_FLOATING_POINT_MATRIX_H
14#define ML_FLOATING_POINT_MATRIX_H
15
17
18//------------------------------------------------------------------------
19// Includes
20//----------------------------------------------------------------------
22
24
25//------------------------------------------------------------------------
26// Put all stuff in a specific ML_LA_NAMESPACE namespace to avoid
27// collisions with other libraries.
28//------------------------------------------------------------------------
30
33template <class VectorT, size_t size>
35{
36public:
38 typedef typename VectorT::ComponentType ComponentType;
39
42
45 enum { RowCount = size };
46
49 enum { ColumnCount = VectorT::Size };
50
53 enum { ComponentCount = static_cast<int>(RowCount)*ColumnCount };
54
55 // Constant indexed read access to row vectors, indexes must not exceed the valid range or errors will occur
56 // and the value for index 0 is returned.
57 const VectorT& operator[](const size_t i) const;
58
59 // Indexed read/write access to row vectors, indexes must not exceed the valid range or errors will occur
60 // and the value for index 0 is returned.
61 VectorT& operator[](const size_t i);
62
63 // Linear read/write access to matrix elements correctly ordered starting
64 // with first, second, ... elements of first row up to last element in last row.
65 // The first DT may NOT be used as an array base to address all DTs directly
66 // in memory since values are organized as vectors and not as an array.
67 // idx has to be smaller than ComponentCount. Other idx values must be avoided by the caller,
68 // because they lead to an error post and a the return of value at index 0.
70
71 // Linear and constant read access to matrix elements correctly ordered starting
72 // with first, second, ... elements of first row up to last element in last row.
73 // idx has to be smaller than ComponentCount. Other idx values must be avoided by the caller,
74 // because they lead to an error post and a the return of value at index 0.
76
77 // Returns sum of all MLAbs values of all matrix elements. This is useful
78 // for testing differences of matrices less than a certain value.
80
84 void setValuesFromPtr(const ComponentType* const values);
85
89 void getValuesToPtr(ComponentType* values) const;
90
91protected:
93 VectorT v[size];
94};
95
96//-----------------------------------------------------------------------------------
97
98template <class VectorT, size_t size>
100{
101 if (i >= size){
102 printTemplateError("FloatingPointMatrix::operator[] const, illegal index", ML_BAD_INDEX, "Using index 0");
103 return v[0];
104 }
105 return v[i];
106}
107
108//-----------------------------------------------------------------------------------
109
110template <class VectorT, size_t size>
112{
113 if (i >= size){
114 printTemplateError("FloatingPointMatrix::operator[], illegal index", ML_BAD_INDEX, "Using index 0");
115 return v[0];
116 }
117 return v[i];
118}
119
120//-----------------------------------------------------------------------------------
121
122template <class VectorT, size_t size>
123inline typename VectorT::ComponentType &FloatingPointMatrix<VectorT,size>::linearIndexed(const size_t idx)
124{
125 if (idx < ComponentCount) {
126 return v[idx/VectorT::Size][idx%VectorT::Size];
127 } else {
128 printTemplateError("FloatingPointMatrix::linearIndexed(), illegal index", ML_BAD_INDEX, "Using index 0 instead");
129 }
130 return v[0][0];
131}
132
133//-----------------------------------------------------------------------------------
134
135template <class VectorT, size_t size>
136inline typename VectorT::ComponentType FloatingPointMatrix<VectorT,size>::linearIndexedConst(const size_t idx) const
137{
138 typename VectorT::ComponentType retVal = v[0][0];
139 if (idx < ComponentCount) {
140 retVal = v[idx/VectorT::Size][idx%VectorT::Size];
141 } else {
142 printTemplateError("FloatingPointMatrix::linearIndexedConst(), illegal index", ML_BAD_INDEX, "Using index 0 instead");
143 }
144 return retVal;
145}
146
147//-----------------------------------------------------------------------------------
148
149template <class VectorT, size_t size>
150inline typename VectorT::ComponentType FloatingPointMatrix<VectorT,size>::compAbsSum() const
151{
152 typename VectorT::ComponentType retVal = 0;
153 for (size_t i=0;i<RowCount;i++) {
154 for (size_t j=0;j<ColumnCount;j++) {
155 retVal += MLAbs(v[i][j]);
156 }
157 }
158 return retVal;
159}
160
161//-----------------------------------------------------------------------------------
162
163template <class VectorT, size_t size>
165{
166 size_t n = 0;
167 for (size_t i=0;i<RowCount;i++) {
168 for (size_t j=0;j<ColumnCount;j++) {
169 v[i][j] = values[n++];
170 }
171 }
172}
173
174//-----------------------------------------------------------------------------------
175
176template <class VectorT, size_t size>
178{
179 size_t n = 0;
180 for (size_t i=0;i<RowCount;i++) {
181 for (size_t j=0;j<ColumnCount;j++) {
182 values[n++] = v[i][j];
183 }
184 }
185}
186
187//-----------------------------------------------------------------------------------
188
190
191
192#endif // __mlFloatingPointVector_H
193
194
195
Base class of all matrix classes which holds the data buffer and provides some general access methods...
ComponentType linearIndexedConst(const size_t idx) const
VectorT::ComponentType ComponentType
A typedef to "export" the type of sub-components.
const VectorT & operator[](const size_t i) const
VectorT & operator[](const size_t i)
VectorT VectorType
A typedef to "export" the type of component vector.
void getValuesToPtr(ComponentType *values) const
Copies contents of *this into array mat, row by row; type and size must match.
void setValuesFromPtr(const ComponentType *const values)
Copies contents from array mat into *this, row by row; type and size must match.
ComponentType compAbsSum() const
ComponentType & linearIndexed(const size_t idx)
DT MLAbs(const DT val)
Defines templated MLAbs version to circumvent fabs ambiguities on different platforms.
#define ML_BAD_INDEX
The index given to the algorithm is out of range; sometimes this is a programming error or a sloppy i...
Definition mlTypeDefs.h:868
Target mlrange_cast(Source arg)
Generic version of checked ML casts.
void ML_UTILS_EXPORT printTemplateError(const char *location, MLErrorCode reason, const std::string_view &handling)