source: issm/trunk-jpl/src/c/matlab/io/MatlabNArrayToNArray.cpp@ 12011

Last change on this file since 12011 was 12011, checked in by Eric.Larour, 13 years ago

Preliminary commit of new issm version, where serial code is starting to be stripped away. Will not run before some major debugging is done
File size: 6.6 KB
Line 
1/* \file MatlabNArrayToNArray.cpp
2 * \brief: convert a sparse or dense matlab n-dimensional array to cpp n-dimensional array
3 */
4
5
6#ifdef HAVE_CONFIG_H
7 #include <config.h>
8#else
9#error "Cannot compile with HAVE_CONFIG_H symbol! run configure first!"
10#endif
11
12#include "../../shared/shared.h"
13#include "../../include/include.h"
14
15#if defined(_HAVE_MATLAB_) && defined(_SERIAL_)
16#include <mex.h>
17
18/*FUNCTION MatlabNArrayToNArray(double** pmatrix,int* pmatrix_numel,int* pmatrix_ndims,int** pmatrix_size,const mxArray* mxmatrix){{{1*/
19int MatlabNArrayToNArray(double** pmatrix,int* pmatrix_numel,int* pmatrix_ndims,int** pmatrix_size,const mxArray* mxmatrix){
20
21 int i,j,rows,cols;
22 int numel,ndims;
23 int *size,*dims;
24 double* mxmatrix_ptr=NULL;
25 const mwSize* ipt=NULL;
26
27 /*output: */
28 double* matrix=NULL;
29
30 /*matlab indices: */
31 mwIndex* ir=NULL;
32 mwIndex* jc=NULL;
33 double* pr=NULL;
34 int count;
35 int nnz;
36 int nz;
37
38 /*get Matlab matrix information: */
39 numel=mxGetNumberOfElements(mxmatrix);
40 ndims=mxGetNumberOfDimensions(mxmatrix);
41 ipt =mxGetDimensions(mxmatrix);
42 size =(int *) xcalloc(ndims,sizeof(int));
43 for (i=0; i<ndims; i++) size[i]=(int)ipt[i];
44
45 /*Ok, first check if we are dealing with a sparse or full matrix: */
46 if (mxIsSparse(mxmatrix)){
47
48 /*Dealing with sparse matrix: recover size first: */
49 rows=mxGetM(mxmatrix);
50 cols=mxGetN(mxmatrix);
51 nnz=mxGetNzmax(mxmatrix);
52 nz=(int)((double)nnz/(double)rows);
53
54 matrix=(double*)xcalloc(rows*cols,sizeof(double));
55
56 /*Now, get ir,jc and pr: */
57 ir=mxGetIr(mxmatrix);
58 jc=mxGetJc(mxmatrix);
59 pr=mxGetPr(mxmatrix);
60
61 /*Now, start inserting data into double* matrix: */
62 count=0;
63 for(i=0;i<cols;i++){
64 for(j=0;j<(jc[i+1]-jc[i]);j++){
65 *(matrix+rows*ir[count]+i)=pr[count];
66 count++;
67 }
68 }
69
70 }
71 else{
72
73 /*Dealing with dense matrix: recover pointer and size: */
74 mxmatrix_ptr=(double*)mxGetPr(mxmatrix);
75
76 /*Create serial matrix: */
77 matrix=(double*)xcalloc(numel,sizeof(double));
78
79 dims=(int *) xcalloc(ndims,sizeof(int));
80 for(i=0;i<numel;i++){
81 ColumnWiseDimsFromIndex(dims,i,size,ndims);
82 j=IndexFromRowWiseDims(dims,size,ndims);
83 *(matrix+j)=*(mxmatrix_ptr+i);
84 }
85 xfree((void**)&dims);
86
87 }
88
89 /*Assign output pointer: */
90 *pmatrix=matrix;
91 *pmatrix_numel=numel;
92 *pmatrix_ndims=ndims;
93 *pmatrix_size=size;
94
95 return 1;
96}
97/*}}}*/
98/*FUNCTION MatlabNArrayToNArray(bool** pmatrix,int* pmatrix_numel,int* pmatrix_ndims,int** pmatrix_size,const mxArray* mxmatrix){{{1*/
99int MatlabNArrayToNArray(bool** pmatrix,int* pmatrix_numel,int* pmatrix_ndims,int** pmatrix_size,const mxArray* mxmatrix){
100
101 int i,j,rows,cols;
102 int numel,ndims;
103 int *size,*dims;
104 bool* mxmatrix_ptr=NULL;
105 const mwSize* ipt=NULL;
106
107 /*output: */
108 bool* matrix=NULL;
109
110 /*matlab indices: */
111 mwIndex* ir=NULL;
112 mwIndex* jc=NULL;
113 bool* pm=NULL;
114 int count;
115 int nnz;
116 int nz;
117
118 /*get Matlab matrix information: */
119 numel=mxGetNumberOfElements(mxmatrix);
120 ndims=mxGetNumberOfDimensions(mxmatrix);
121 ipt =mxGetDimensions(mxmatrix);
122 size =(int *) xcalloc(ndims,sizeof(int));
123 for (i=0; i<ndims; i++) size[i]=(int)ipt[i];
124
125 /*Ok, first check if we are dealing with a sparse or full matrix: */
126 if (mxIsSparse(mxmatrix)){
127
128 /*Dealing with sparse matrix: recover size first: */
129 rows=mxGetM(mxmatrix);
130 cols=mxGetN(mxmatrix);
131 nnz=mxGetNzmax(mxmatrix);
132 nz=(int)((double)nnz/(double)rows);
133
134 matrix=(bool*)xcalloc(rows*cols,sizeof(bool));
135
136 /*Now, get ir,jc and pm: */
137 ir=mxGetIr(mxmatrix);
138 jc=mxGetJc(mxmatrix);
139 pm=(bool*)mxGetData(mxmatrix);
140
141 /*Now, start inserting data into bool* matrix: */
142 count=0;
143 for(i=0;i<cols;i++){
144 for(j=0;j<(jc[i+1]-jc[i]);j++){
145 *(matrix+rows*ir[count]+i)=pm[count];
146 count++;
147 }
148 }
149
150 }
151 else{
152
153 /*Dealing with dense matrix: recover pointer and size: */
154 mxmatrix_ptr=(bool*)mxGetData(mxmatrix);
155
156 /*Create serial matrix: */
157 matrix=(bool*)xcalloc(numel,sizeof(bool));
158
159 dims=(int *) xcalloc(ndims,sizeof(int));
160 for(i=0;i<numel;i++){
161 ColumnWiseDimsFromIndex(dims,i,size,ndims);
162 j=IndexFromRowWiseDims(dims,size,ndims);
163 *(matrix+j)=(bool)*(mxmatrix_ptr+i);
164 }
165 xfree((void**)&dims);
166
167 }
168
169 /*Assign output pointer: */
170 *pmatrix=matrix;
171 *pmatrix_numel=numel;
172 *pmatrix_ndims=ndims;
173 *pmatrix_size=size;
174
175 return 1;
176}
177/*}}}*/
178/*FUNCTION MatlabNArrayToNArray(char** pmatrix,int* pmatrix_numel,int* pmatrix_ndims,int** pmatrix_size,const mxArray* mxmatrix){{{1*/
179int MatlabNArrayToNArray(char** pmatrix,int* pmatrix_numel,int* pmatrix_ndims,int** pmatrix_size,const mxArray* mxmatrix){
180
181 int i,j,rows,cols;
182 int numel,ndims;
183 int *size,*dims;
184 mxChar* mxmatrix_ptr=NULL;
185 const mwSize* ipt=NULL;
186
187 /*output: */
188 char* matrix=NULL;
189
190 /*matlab indices: */
191 mwIndex* ir=NULL;
192 mwIndex* jc=NULL;
193 char* pm=NULL;
194 int count;
195 int nnz;
196 int nz;
197
198 /*get Matlab matrix information: */
199 numel=mxGetNumberOfElements(mxmatrix);
200 ndims=mxGetNumberOfDimensions(mxmatrix);
201 ipt =mxGetDimensions(mxmatrix);
202 size =(int *) xcalloc(ndims,sizeof(int));
203 for (i=0; i<ndims; i++) size[i]=(int)ipt[i];
204
205 /*Ok, first check if we are dealing with a sparse or full matrix: */
206 if (mxIsSparse(mxmatrix)){
207
208 /*Dealing with sparse matrix: recover size first: */
209 rows=mxGetM(mxmatrix);
210 cols=mxGetN(mxmatrix);
211 nnz=mxGetNzmax(mxmatrix);
212 nz=(int)((double)nnz/(double)rows);
213
214 matrix=(char*)xcalloc(rows*cols,sizeof(double));
215
216 /*Now, get ir,jc and pm: */
217 ir=mxGetIr(mxmatrix);
218 jc=mxGetJc(mxmatrix);
219 pm=(char*)mxGetData(mxmatrix);
220
221 /*Now, start inserting data into char* matrix: */
222 count=0;
223 for(i=0;i<cols;i++){
224 for(j=0;j<(jc[i+1]-jc[i]);j++){
225 *(matrix+rows*ir[count]+i)=(char)pm[count];
226 count++;
227 }
228 }
229
230 }
231 else{
232
233 /*Dealing with dense matrix: recover pointer and size: */
234 mxmatrix_ptr=mxGetChars(mxmatrix);
235
236 /*Create serial matrix: */
237 matrix=(char*)xcalloc(numel+1,sizeof(mxChar));
238
239 /*looping code adapted from Matlab example explore.c: */
240 int elements_per_page = size[0] * size[1];
241 /* total_number_of_pages = size[2] x size[3] x ... x size[N-1] */
242 int total_number_of_pages = 1;
243 for (i=2; i<ndims; i++) {
244 total_number_of_pages *= size[i];
245 }
246
247 i=0;
248 for (int page=0; page < total_number_of_pages; page++) {
249 int row;
250 /* On each page, walk through each row. */
251 for (row=0; row<size[0]; row++) {
252 int column;
253 j = (page * elements_per_page) + row;
254
255 /* Walk along each column in the current row. */
256 for (column=0; column<size[1]; column++) {
257 *(matrix+i++)=(char)*(mxmatrix_ptr+j);
258 j += size[0];
259 }
260 }
261 }
262
263 }
264
265 /*Assign output pointer: */
266 *pmatrix=matrix;
267 *pmatrix_numel=numel;
268 *pmatrix_ndims=ndims;
269 *pmatrix_size=size;
270
271 return 1;
272}
273/*}}}*/
274#endif
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