This file is indexed.

/usr/include/root/Math/MatrixRepresentationsStatic.h is in libroot-math-smatrix-dev 5.34.30-0ubuntu8.

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
151
152
153
154
155
156
157
158
159
160
161
162
163
164
165
166
167
168
169
170
171
172
173
174
175
176
177
178
179
180
181
182
183
184
185
186
187
188
189
190
191
192
193
194
195
196
197
198
199
200
201
202
203
204
205
206
207
208
209
210
211
212
213
214
215
216
217
218
219
220
221
222
223
224
225
226
227
228
229
230
231
232
233
234
235
236
237
238
239
240
241
242
243
244
245
246
247
248
249
250
251
252
253
254
255
256
257
258
259
260
261
262
263
264
265
266
267
268
269
270
271
272
273
274
275
276
277
278
279
280
281
282
283
284
285
286
287
288
289
290
291
292
293
294
295
296
297
298
299
300
301
302
303
304
305
306
307
308
309
310
311
312
313
314
315
316
317
318
319
320
321
322
323
324
325
326
327
328
329
330
331
332
333
334
335
336
337
338
339
340
341
342
343
344
345
346
347
348
349
350
351
352
353
354
355
356
357
358
359
360
361
362
363
364
365
366
367
368
369
370
371
372
373
// @(#)root/smatrix:$Id$
// Author: L. Moneta, J. Palacios    2006  

#ifndef ROOT_Math_MatrixRepresentationsStatic
#define ROOT_Math_MatrixRepresentationsStatic 1

// Include files

/** 
    @defgroup MatRep SMatrix Storage Representation 
    @ingroup SMatrixGroup
 
    @author Juan Palacios
    @date   2006-01-15
 
    Classes MatRepStd and MatRepSym for generic and symmetric matrix
    data storage and manipulation. Define data storage and access, plus
    operators =, +=, -=, ==.
 
 */

#ifndef ROOT_Math_StaticCheck
#include "Math/StaticCheck.h"
#endif

namespace ROOT {
   
namespace Math {

   //________________________________________________________________________________    
   /**
      MatRepStd
      Standard Matrix representation for a general D1 x D2 matrix. 
      This class is itself a template on the contained type T, the number of rows and the number of columns.
      Its data member is an array T[nrows*ncols] containing the matrix data. 
      The data are stored in the row-major C convention. 
      For example, for a matrix, M, of size 3x3, the data \f$ \left[a_0,a_1,a_2,.......,a_7,a_8 \right] \f$d are stored in the following order: 
      \f[
      M = \left( \begin{array}{ccc} 
      a_0 & a_1 & a_2  \\ 
      a_3 & a_4  & a_5  \\ 
      a_6 & a_7  & a_8   \end{array} \right)
      \f]

      @ingroup MatRep
   */


   template <class T, unsigned int D1, unsigned int D2=D1>
   class MatRepStd {

   public: 

      typedef T  value_type;

      inline const T& operator()(unsigned int i, unsigned int j) const {
         return fArray[i*D2+j];
      }
      inline T& operator()(unsigned int i, unsigned int j) {
         return fArray[i*D2+j];
      }
      inline T& operator[](unsigned int i) { return fArray[i]; }

      inline const T& operator[](unsigned int i) const { return fArray[i]; }

      inline T apply(unsigned int i) const { return fArray[i]; }

      inline T* Array() { return fArray; }  

      inline const T* Array() const { return fArray; }  

      template <class R>
      inline MatRepStd<T, D1, D2>& operator+=(const R& rhs) {
         for(unsigned int i=0; i<kSize; ++i) fArray[i] += rhs[i];
         return *this;
      }

      template <class R>
      inline MatRepStd<T, D1, D2>& operator-=(const R& rhs) {
         for(unsigned int i=0; i<kSize; ++i) fArray[i] -= rhs[i];
         return *this;
      }

      template <class R>
      inline MatRepStd<T, D1, D2>& operator=(const R& rhs) {
         for(unsigned int i=0; i<kSize; ++i) fArray[i] = rhs[i];
         return *this;
      }

      template <class R> 
      inline bool operator==(const R& rhs) const {
         bool rc = true;
         for(unsigned int i=0; i<kSize; ++i) {
            rc = rc && (fArray[i] == rhs[i]);
         }
         return rc;
      }

      enum {
         /// return no. of matrix rows
         kRows = D1,
         /// return no. of matrix columns
         kCols = D2,
         /// return no of elements: rows*columns
         kSize = D1*D2
      };
      
   private:
      //T __attribute__ ((aligned (16))) fArray[kSize];
      T  fArray[kSize];
   };
    
    
//     template<unigned int D>
//     struct Creator { 
//       static const RowOffsets<D> & Offsets() {
//          static RowOffsets<D> off;
//           return off;
//       }

   /**
      Static structure to keep the conversion from (i,j) to offsets in the storage data for a 
      symmetric matrix
   */

   template<unsigned int D>
   struct RowOffsets {
      inline RowOffsets() {
         int v[D];
         v[0]=0;
         for (unsigned int i=1; i<D; ++i)
            v[i]=v[i-1]+i;
         for (unsigned int i=0; i<D; ++i) { 
            for (unsigned int j=0; j<=i; ++j)
               fOff[i*D+j] = v[i]+j; 
            for (unsigned int j=i+1; j<D; ++j)
               fOff[i*D+j] = v[j]+i ;
         }
      }
      inline int operator()(unsigned int i, unsigned int j) const { return fOff[i*D+j]; }
      inline int apply(unsigned int i) const { return fOff[i]; }
      int fOff[D*D];
   };

// Make the lookup tables available at compile time:
// Add them to a namespace?
static const int fOff1x1[] = {0};
static const int fOff2x2[] = {0, 1, 1, 2};
static const int fOff3x3[] = {0, 1, 3, 1, 2, 4, 3, 4, 5};
static const int fOff4x4[] = {0, 1, 3, 6, 1, 2, 4, 7, 3, 4, 5, 8, 6, 7, 8, 9};
static const int fOff5x5[] = {0, 1, 3, 6, 10, 1, 2, 4, 7, 11, 3, 4, 5, 8, 12, 6, 7, 8, 9, 13, 10, 11, 12, 13, 14};
static const int fOff6x6[] = {0, 1, 3, 6, 10, 15, 1, 2, 4, 7, 11, 16, 3, 4, 5, 8, 12, 17, 6, 7, 8, 9, 13, 18, 10, 11, 12, 13, 14, 19, 15, 16, 17, 18, 19, 20};

static const int fOff7x7[] = {0, 1, 3, 6, 10, 15, 21, 1, 2, 4, 7, 11, 16, 22, 3, 4, 5, 8, 12, 17, 23, 6, 7, 8, 9, 13, 18, 24, 10, 11, 12, 13, 14, 19, 25, 15, 16, 17, 18, 19, 20, 26, 21, 22, 23, 24, 25, 26, 27};

static const int fOff8x8[] = {0, 1, 3, 6, 10, 15, 21, 28, 1, 2, 4, 7, 11, 16, 22, 29, 3, 4, 5, 8, 12, 17, 23, 30, 6, 7, 8, 9, 13, 18, 24, 31, 10, 11, 12, 13, 14, 19, 25, 32, 15, 16, 17, 18, 19, 20, 26, 33, 21, 22, 23, 24, 25, 26, 27, 34, 28, 29, 30, 31, 32, 33, 34, 35};

static const int fOff9x9[] = {0, 1, 3, 6, 10, 15, 21, 28, 36, 1, 2, 4, 7, 11, 16, 22, 29, 37, 3, 4, 5, 8, 12, 17, 23, 30, 38, 6, 7, 8, 9, 13, 18, 24, 31, 39, 10, 11, 12, 13, 14, 19, 25, 32, 40, 15, 16, 17, 18, 19, 20, 26, 33, 41, 21, 22, 23, 24, 25, 26, 27, 34, 42, 28, 29, 30, 31, 32, 33, 34, 35, 43, 36, 37, 38, 39, 40, 41, 42, 43, 44};

static const int fOff10x10[] = {0, 1, 3, 6, 10, 15, 21, 28, 36, 45, 1, 2, 4, 7, 11, 16, 22, 29, 37, 46, 3, 4, 5, 8, 12, 17, 23, 30, 38, 47, 6, 7, 8, 9, 13, 18, 24, 31, 39, 48, 10, 11, 12, 13, 14, 19, 25, 32, 40, 49, 15, 16, 17, 18, 19, 20, 26, 33, 41, 50, 21, 22, 23, 24, 25, 26, 27, 34, 42, 51, 28, 29, 30, 31, 32, 33, 34, 35, 43, 52, 36, 37, 38, 39, 40, 41, 42, 43, 44, 53, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54};

template<>
   struct RowOffsets<1> {
      RowOffsets() {}
      int operator()(unsigned int , unsigned int ) const { return 0; } // Just one element
      int apply(unsigned int ) const { return 0; }
   };

template<>
   struct RowOffsets<2> {
      RowOffsets() {}
      int operator()(unsigned int i, unsigned int j) const { return i+j; /*fOff2x2[i*2+j];*/ }
      int apply(unsigned int i) const { return fOff2x2[i]; }
   };

template<>
   struct RowOffsets<3> {
      RowOffsets() {}
      int operator()(unsigned int i, unsigned int j) const { return fOff3x3[i*3+j]; }
      int apply(unsigned int i) const { return fOff3x3[i]; }
   };

template<>
   struct RowOffsets<4> {
     RowOffsets() {}
     int operator()(unsigned int i, unsigned int j) const { return fOff4x4[i*4+j]; }
     int apply(unsigned int i) const { return fOff4x4[i]; }
   };

   template<>
   struct RowOffsets<5> {
     inline RowOffsets() {}
     inline int operator()(unsigned int i, unsigned int j) const { return fOff5x5[i*5+j]; }
//   int operator()(unsigned int i, unsigned int j) const {
//     if(j <= i) return (i * (i + 1)) / 2 + j;
//      else return (j * (j + 1)) / 2 + i;
//     }  
   inline int apply(unsigned int i) const { return fOff5x5[i]; }
   };

template<>
   struct RowOffsets<6> {
     RowOffsets() {}
     int operator()(unsigned int i, unsigned int j) const { return fOff6x6[i*6+j]; }
     int apply(unsigned int i) const { return fOff6x6[i]; }
   };

template<>
   struct RowOffsets<7> {
     RowOffsets() {}
     int operator()(unsigned int i, unsigned int j) const { return fOff7x7[i*7+j]; }
     int apply(unsigned int i) const { return fOff7x7[i]; }
   };

template<>
   struct RowOffsets<8> {
     RowOffsets() {}
     int operator()(unsigned int i, unsigned int j) const { return fOff8x8[i*8+j]; }
     int apply(unsigned int i) const { return fOff8x8[i]; }
   };

template<>
   struct RowOffsets<9> {
     RowOffsets() {}
     int operator()(unsigned int i, unsigned int j) const { return fOff9x9[i*9+j]; }
     int apply(unsigned int i) const { return fOff9x9[i]; }
   };

template<>
   struct RowOffsets<10> {
     RowOffsets() {}
     int operator()(unsigned int i, unsigned int j) const { return fOff10x10[i*10+j]; }
     int apply(unsigned int i) const { return fOff10x10[i]; }
   };

//_________________________________________________________________________________
   /**
      MatRepSym
      Matrix storage representation for a symmetric matrix of dimension NxN
      This class is a template on the contained type and on the symmetric matrix size, N. 
      It has as data member an array of type T of size N*(N+1)/2, 
      containing the lower diagonal block of the matrix.
      The order follows the lower diagonal block, still in a row-major convention. 
      For example for a symmetric 3x3 matrix the order of the 6 elements 
      \f$ \left[a_0,a_1.....a_5 \right]\f$ is: 
      \f[
      M = \left( \begin{array}{ccc} 
      a_0 & a_1  & a_3  \\ 
      a_1 & a_2  & a_4  \\
      a_3 & a_4 & a_5   \end{array} \right)
      \f]

      @ingroup MatRep 
   */
   template <class T, unsigned int D>
   class MatRepSym {

   public: 

      MatRepSym() :fOff(0) { CreateOffsets(); } 

      typedef T  value_type;

      inline const T& operator()(unsigned int i, unsigned int j) const {
         return fArray[Offsets()(i,j)];
      }
      inline T& operator()(unsigned int i, unsigned int j) {
         return fArray[Offsets()(i,j)];
      }

      inline T& operator[](unsigned int i) { 
         return fArray[Offsets().apply(i) ];
//return fArray[Offsets()(i/D, i%D)];
      }

      inline const T& operator[](unsigned int i) const {
         return fArray[Offsets().apply(i) ];
//return fArray[Offsets()(i/D, i%D)];
      }

      inline T apply(unsigned int i) const {
         return fArray[Offsets().apply(i) ];
         //return operator()(i/D, i%D);
      }

      inline T* Array() { return fArray; }  

      inline const T* Array() const { return fArray; }  

      /**
         assignment : only symmetric to symmetric allowed
       */
      template <class R>
      inline MatRepSym<T, D>& operator=(const R&) {
         STATIC_CHECK(0==1,
                      Cannot_assign_general_to_symmetric_matrix_representation);
         return *this;
      }
      inline MatRepSym<T, D>& operator=(const MatRepSym& rhs) {
         for(unsigned int i=0; i<kSize; ++i) fArray[i] = rhs.Array()[i];
         return *this;
      }

      /**
         self addition : only symmetric to symmetric allowed
       */
      template <class R>
      inline MatRepSym<T, D>& operator+=(const R&) {
         STATIC_CHECK(0==1,
                      Cannot_add_general_to_symmetric_matrix_representation);
         return *this;
      }
      inline MatRepSym<T, D>& operator+=(const MatRepSym& rhs) {
         for(unsigned int i=0; i<kSize; ++i) fArray[i] += rhs.Array()[i];
         return *this;
      }

      /**
         self subtraction : only symmetric to symmetric allowed
       */
      template <class R>
      inline MatRepSym<T, D>& operator-=(const R&) {
         STATIC_CHECK(0==1,
                      Cannot_substract_general_to_symmetric_matrix_representation);
         return *this;
      }
      inline MatRepSym<T, D>& operator-=(const MatRepSym& rhs) {
         for(unsigned int i=0; i<kSize; ++i) fArray[i] -= rhs.Array()[i];
         return *this;
      }
      template <class R> 
      inline bool operator==(const R& rhs) const {
         bool rc = true;
         for(unsigned int i=0; i<D*D; ++i) {
            rc = rc && (operator[](i) == rhs[i]);
         }
         return rc;
      }
      
      enum {
         /// return no. of matrix rows
         kRows = D,
         /// return no. of matrix columns
         kCols = D,
         /// return no of elements: rows*columns
         kSize = D*(D+1)/2
      };

      
      void CreateOffsets() {
         const static RowOffsets<D> off;
         fOff = &off;
      }
      
      inline const RowOffsets<D> & Offsets() const {
         return *fOff;
      }

   private:
      //T __attribute__ ((aligned (16))) fArray[kSize];
      T fArray[kSize];

      const RowOffsets<D> * fOff;   //! transient

   };


 
} // namespace Math
} // namespace ROOT


#endif // MATH_MATRIXREPRESENTATIONSSTATIC_H