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