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annotate liboctave/array/boolSparse.cc @ 17489:0ad2f93fd83c

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doc: Fix a typo in findobj docstring. * scripts/plot/findobj.m: Use '3' instead of 'D' in findobj example of depth 3.
author Rik <rik@octave.org>
date Wed, 25 Sep 2013 08:13:30 -0700
parents 648dabbb4c6b
children
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1 /*
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2
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3 Copyright (C) 2004-2012 David Bateman
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4 Copyright (C) 1998-2004 Andy Adler
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5 Copyright (C) 2010 VZLU Prague
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6
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7 This file is part of Octave.
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8
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9 Octave is free software; you can redistribute it and/or modify it
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10 under the terms of the GNU General Public License as published by the
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11 Free Software Foundation; either version 3 of the License, or (at your
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12 option) any later version.
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13
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14 Octave is distributed in the hope that it will be useful, but WITHOUT
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15 ANY WARRANTY; without even the implied warranty of MERCHANTABILITY or
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16 FITNESS FOR A PARTICULAR PURPOSE. See the GNU General Public License
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17 for more details.
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18
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19 You should have received a copy of the GNU General Public License
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20 along with Octave; see the file COPYING. If not, see
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21 <http://www.gnu.org/licenses/>.
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22
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23 */
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24
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25 #ifdef HAVE_CONFIG_H
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26 #include <config.h>
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27 #endif
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28
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29 #include <iostream>
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30 #include <vector>
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31
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32 #include "quit.h"
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33 #include "lo-ieee.h"
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34 #include "lo-mappers.h"
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35
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36 #include "boolSparse.h"
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37 #include "dSparse.h"
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38 #include "oct-mem.h"
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39 #include "oct-locbuf.h"
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40
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41 // SparseBoolMatrix class.
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42
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43 bool
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44 SparseBoolMatrix::operator == (const SparseBoolMatrix& a) const
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45 {
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46 octave_idx_type nr = rows ();
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47 octave_idx_type nc = cols ();
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48 octave_idx_type nz = nnz ();
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49 octave_idx_type nr_a = a.rows ();
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50 octave_idx_type nc_a = a.cols ();
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51 octave_idx_type nz_a = a.nnz ();
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52
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53 if (nr != nr_a || nc != nc_a || nz != nz_a)
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54 return false;
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55
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56 for (octave_idx_type i = 0; i < nc + 1; i++)
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57 if (cidx (i) != a.cidx (i))
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58 return false;
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59
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60 for (octave_idx_type i = 0; i < nz; i++)
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61 if (data (i) != a.data (i) || ridx (i) != a.ridx (i))
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62 return false;
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63
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64 return true;
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65 }
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66
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67 bool
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68 SparseBoolMatrix::operator != (const SparseBoolMatrix& a) const
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69 {
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70 return !(*this == a);
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71 }
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72
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73 SparseBoolMatrix&
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74 SparseBoolMatrix::insert (const SparseBoolMatrix& a, octave_idx_type r, octave_idx_type c)
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75 {
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76 Sparse<bool>::insert (a, r, c);
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77 return *this;
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78 }
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79
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80 SparseBoolMatrix&
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81 SparseBoolMatrix::insert (const SparseBoolMatrix& a, const Array<octave_idx_type>& indx)
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82 {
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83 Sparse<bool>::insert (a, indx);
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84 return *this;
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85 }
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86
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87 SparseBoolMatrix
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88 SparseBoolMatrix::concat (const SparseBoolMatrix& rb, const Array<octave_idx_type>& ra_idx)
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89 {
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90 // Don't use numel to avoid all possiblity of an overflow
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91 if (rb.rows () > 0 && rb.cols () > 0)
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92 insert (rb, ra_idx(0), ra_idx(1));
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93 return *this;
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94 }
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95
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96 // unary operations
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97
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98 SparseBoolMatrix
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99 SparseBoolMatrix::operator ! (void) const
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100 {
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101 octave_idx_type nr = rows ();
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102 octave_idx_type nc = cols ();
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103 octave_idx_type nz1 = nnz ();
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104 octave_idx_type nz2 = nr*nc - nz1;
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105
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106 SparseBoolMatrix r (nr, nc, nz2);
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107
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108 octave_idx_type ii = 0;
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109 octave_idx_type jj = 0;
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110 r.cidx (0) = 0;
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111 for (octave_idx_type i = 0; i < nc; i++)
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112 {
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113 for (octave_idx_type j = 0; j < nr; j++)
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114 {
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115 if (jj < cidx (i+1) && ridx (jj) == j)
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116 jj++;
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117 else
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118 {
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119 r.data (ii) = true;
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120 r.ridx (ii++) = j;
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121 }
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122 }
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123 r.cidx (i+1) = ii;
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124 }
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125
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126 return r;
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127 }
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128
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129 // other operations
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130
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131 // FIXME Do these really belong here? Maybe they should be
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132 // in a base class?
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133
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134 SparseBoolMatrix
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135 SparseBoolMatrix::all (int dim) const
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136 {
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137 SPARSE_ALL_OP (dim);
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138 }
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139
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140 SparseBoolMatrix
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141 SparseBoolMatrix::any (int dim) const
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142 {
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143 Sparse<bool> retval;
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144 octave_idx_type nr = rows (), nc = cols (), nz = nnz ();
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145 if (dim == -1)
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146 dim = (nr == 1 && nc != 1) ? 1 : 0;
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147
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148 if (dim == 0)
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149 {
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150 // Result is a row vector.
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151 retval = Sparse<bool> (1, nc);
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152 retval.xcidx (0) = 0;
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153 for (octave_idx_type i = 0; i < nc; i++)
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154 retval.xcidx (i+1) = retval.xcidx (i) + (cidx (i+1) > cidx (i));
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155 octave_idx_type new_nz = retval.xcidx (nc);
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156 retval.change_capacity (new_nz);
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157 fill_or_memset (new_nz, static_cast<octave_idx_type> (0), retval.ridx ());
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158 fill_or_memset (new_nz, true, retval.data ());
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159 }
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160 else if (dim == 1)
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161 {
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162 // Result is a column vector.
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163 if (nz > nr/4)
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164 {
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165 // We can use O(nr) memory.
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166 Array<bool> tmp (dim_vector (nr, 1), false);
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167 for (octave_idx_type i = 0; i < nz; i++)
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168 tmp.xelem (ridx (i)) = true;
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169 retval = tmp;
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170 }
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171 else
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172 {
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173 Array<octave_idx_type> tmp (dim_vector (nz, 1));
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174 copy_or_memcpy (nz, ridx (), tmp.fortran_vec ());
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175 retval = Sparse<bool> (Array<bool> (dim_vector (1, 1), true),
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176 idx_vector (tmp),
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177 idx_vector (static_cast<octave_idx_type> (0)),
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178 nr, 1, false);
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179 }
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180 }
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181
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182 return retval;
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183 }
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184
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185 SparseMatrix
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186 SparseBoolMatrix::sum (int dim) const
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187 {
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188 Sparse<double> retval;
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189 octave_idx_type nr = rows (), nc = cols (), nz = nnz ();
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190 if (dim == -1)
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191 dim = (nr == 1 && nc != 1) ? 1 : 0;
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192
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193 if (dim == 0)
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194 {
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195 // Result is a row vector.
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196 retval = Sparse<double> (1, nc);
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197 for (octave_idx_type i = 0; i < nc; i++)
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198 retval.xcidx (i+1) = retval.xcidx (i) + (cidx (i+1) > cidx (i));
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199 octave_idx_type new_nz = retval.xcidx (nc);
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200 retval.change_capacity (new_nz);
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201 fill_or_memset (new_nz, static_cast<octave_idx_type> (0), retval.ridx ());
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202 for (octave_idx_type i = 0, k = 0; i < nc; i++)
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203 {
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204 octave_idx_type c = cidx (i+1) - cidx (i);
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205 if (c > 0)
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206 retval.xdata (k++) = c;
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207 }
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208 }
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209 else if (dim == 1)
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210 {
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211 // Result is a column vector.
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212 if (nz > nr)
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213 {
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214 // We can use O(nr) memory.
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215 Array<double> tmp (dim_vector (nr, 1), 0);
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216 for (octave_idx_type i = 0; i < nz; i++)
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217 tmp.xelem (ridx (i)) += 1.0;
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218 retval = tmp;
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219 }
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220 else
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221 {
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222 Array<octave_idx_type> tmp (dim_vector (nz, 1));
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223 copy_or_memcpy (nz, ridx (), tmp.fortran_vec ());
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224 retval = Sparse<double> (Array<double> (dim_vector (1, 1), 1.0),
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225 idx_vector (tmp),
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226 idx_vector (static_cast<octave_idx_type> (0)),
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227 nr, 1);
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228 }
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229 }
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230
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231 return retval;
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232 }
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233
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234 SparseBoolMatrix
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235 SparseBoolMatrix::diag (octave_idx_type k) const
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236 {
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237 return Sparse<bool>::diag (k);
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238 }
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239
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240 boolMatrix
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241 SparseBoolMatrix::matrix_value (void) const
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242 {
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243 octave_idx_type nr = rows ();
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244 octave_idx_type nc = cols ();
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245
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246 boolMatrix retval (nr, nc, false);
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247 for (octave_idx_type j = 0; j < nc; j++)
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248 for (octave_idx_type i = cidx (j); i < cidx (j+1); i++)
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249 retval.elem (ridx (i), j) = data (i);
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250
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251 return retval;
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252 }
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253
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254 std::ostream&
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255 operator << (std::ostream& os, const SparseBoolMatrix& a)
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256 {
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257 octave_idx_type nc = a.cols ();
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258
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259 // add one to the printed indices to go from
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260 // zero-based to one-based arrays
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261 for (octave_idx_type j = 0; j < nc; j++)
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262 {
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263 octave_quit ();
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diff changeset
264 for (octave_idx_type i = a.cidx (j); i < a.cidx (j+1); i++)
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265 os << a.ridx (i) + 1 << " " << j + 1 << " " << a.data (i) << "\n";
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266 }
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267
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268 return os;
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269 }
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270
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271 std::istream&
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272 operator >> (std::istream& is, SparseBoolMatrix& a)
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273 {
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274 typedef SparseBoolMatrix::element_type elt_type;
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275
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276 return read_sparse_matrix<elt_type> (is, a, octave_read_value<bool>);
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277 }
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278
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279 SparseBoolMatrix
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280 SparseBoolMatrix::squeeze (void) const
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281 {
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282 return Sparse<bool>::squeeze ();
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283 }
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284
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285 SparseBoolMatrix
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286 SparseBoolMatrix::index (const idx_vector& i, bool resize_ok) const
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287 {
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288 return Sparse<bool>::index (i, resize_ok);
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289 }
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290
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291 SparseBoolMatrix
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292 SparseBoolMatrix::index (const idx_vector& i, const idx_vector& j, bool resize_ok) const
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293 {
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294 return Sparse<bool>::index (i, j, resize_ok);
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295 }
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296
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297 SparseBoolMatrix
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298 SparseBoolMatrix::reshape (const dim_vector& new_dims) const
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299 {
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300 return Sparse<bool>::reshape (new_dims);
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301 }
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302
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303 SparseBoolMatrix
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304 SparseBoolMatrix::permute (const Array<octave_idx_type>& vec, bool inv) const
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305 {
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306 return Sparse<bool>::permute (vec, inv);
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307 }
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308
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309 SparseBoolMatrix
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310 SparseBoolMatrix::ipermute (const Array<octave_idx_type>& vec) const
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311 {
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312 return Sparse<bool>::ipermute (vec);
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313 }
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314
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315 SPARSE_SMS_EQNE_OPS (SparseBoolMatrix, false, , bool, false, )
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316 SPARSE_SMS_BOOL_OPS (SparseBoolMatrix, bool, false)
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317
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318 SPARSE_SSM_EQNE_OPS (bool, false, , SparseBoolMatrix, false, )
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319 SPARSE_SSM_BOOL_OPS (bool, SparseBoolMatrix, false)
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320
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321 SPARSE_SMSM_EQNE_OPS (SparseBoolMatrix, false, , SparseBoolMatrix, false, )
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322 SPARSE_SMSM_BOOL_OPS (SparseBoolMatrix, SparseBoolMatrix, false)