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annotate liboctave/boolSparse.cc @ 11287:d81b79c1bd5d

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fixes for --enable-64
author John W. Eaton <jwe@octave.org>
date Mon, 22 Nov 2010 03:27:41 -0500
parents 4b51c0a20a98
children fd0a3ac60b0e
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1 /*
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2
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3 Copyright (C) 2004, 2005, 2006, 2007, 2008 David Bateman
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4 Copyright (C) 1998, 1999, 2000, 2001, 2002, 2003, 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 "config.h"
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33 #include "quit.h"
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34 #include "lo-ieee.h"
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35 #include "lo-mappers.h"
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36
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37 #include "boolSparse.h"
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38 #include "dSparse.h"
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39 #include "oct-mem.h"
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40 #include "oct-locbuf.h"
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41
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42 // SparseBoolMatrix class.
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43
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44 bool
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45 SparseBoolMatrix::operator == (const SparseBoolMatrix& a) const
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46 {
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47 octave_idx_type nr = rows ();
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48 octave_idx_type nc = cols ();
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49 octave_idx_type nz = nnz ();
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50 octave_idx_type nr_a = a.rows ();
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51 octave_idx_type nc_a = a.cols ();
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52 octave_idx_type nz_a = a.nnz ();
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53
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54 if (nr != nr_a || nc != nc_a || nz != nz_a)
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55 return false;
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56
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57 for (octave_idx_type i = 0; i < nc + 1; i++)
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58 if (cidx(i) != a.cidx(i))
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59 return false;
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60
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61 for (octave_idx_type i = 0; i < nz; i++)
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62 if (data(i) != a.data(i) || ridx(i) != a.ridx(i))
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63 return false;
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64
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65 return true;
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66 }
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67
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68 bool
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69 SparseBoolMatrix::operator != (const SparseBoolMatrix& a) const
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70 {
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71 return !(*this == a);
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72 }
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73
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74 SparseBoolMatrix&
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75 SparseBoolMatrix::insert (const SparseBoolMatrix& a, octave_idx_type r, octave_idx_type c)
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76 {
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77 Sparse<bool>::insert (a, r, c);
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78 return *this;
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79 }
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80
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81 SparseBoolMatrix&
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82 SparseBoolMatrix::insert (const SparseBoolMatrix& a, const Array<octave_idx_type>& indx)
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83 {
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84 Sparse<bool>::insert (a, indx);
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85 return *this;
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86 }
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87
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88 SparseBoolMatrix
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89 SparseBoolMatrix::concat (const SparseBoolMatrix& rb, const Array<octave_idx_type>& ra_idx)
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90 {
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91 // Don't use numel to avoid all possiblity of an overflow
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92 if (rb.rows () > 0 && rb.cols () > 0)
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93 insert (rb, ra_idx(0), ra_idx(1));
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94 return *this;
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95 }
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96
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97 // unary operations
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98
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99 SparseBoolMatrix
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100 SparseBoolMatrix::operator ! (void) const
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101 {
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102 octave_idx_type nr = rows ();
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103 octave_idx_type nc = cols ();
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104 octave_idx_type nz1 = nnz ();
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105 octave_idx_type nz2 = nr*nc - nz1;
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106
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107 SparseBoolMatrix r (nr, nc, nz2);
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108
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109 octave_idx_type ii = 0;
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110 octave_idx_type jj = 0;
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111 r.cidx (0) = 0;
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112 for (octave_idx_type i = 0; i < nc; i++)
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113 {
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114 for (octave_idx_type j = 0; j < nr; j++)
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115 {
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116 if (jj < cidx(i+1) && ridx(jj) == j)
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117 jj++;
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118 else
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119 {
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120 r.data(ii) = true;
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121 r.ridx(ii++) = j;
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122 }
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123 }
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124 r.cidx (i+1) = ii;
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125 }
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126
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127 return r;
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128 }
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129
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130 // other operations
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131
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132 // FIXME Do these really belong here? Maybe they should be
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133 // in a base class?
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134
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135 SparseBoolMatrix
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136 SparseBoolMatrix::all (int dim) const
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137 {
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138 SPARSE_ALL_OP (dim);
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139 }
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140
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141 SparseBoolMatrix
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142 SparseBoolMatrix::any (int dim) const
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143 {
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144 Sparse<bool> retval;
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145 octave_idx_type nr = rows (), nc = cols (), nz = nnz ();
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146 if (dim == -1)
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147 dim = (nr == 1 && nc != 1) ? 1 : 0;
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148
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149 if (dim == 0)
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150 {
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151 // Result is a row vector.
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152 retval = Sparse<bool> (1, nc);
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diff changeset
153 for(octave_idx_type i = 0; i < nc; i++)
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diff changeset
154 retval.xcidx(i+1) = retval.xcidx(i) + (cidx(i+1) > cidx(i));
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diff changeset
155 octave_idx_type new_nz = retval.xcidx(nc);
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diff changeset
156 retval.change_capacity (new_nz);
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diff changeset
157 fill_or_memset (new_nz, static_cast<octave_idx_type> (0), retval.ridx ());
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diff changeset
158 fill_or_memset (new_nz, true, retval.data ());
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diff changeset
159 }
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diff changeset
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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diff changeset
166 Array<bool> tmp (nr, 1, false);
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diff changeset
167 for (octave_idx_type i = 0; i < nz; i++)
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diff changeset
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 {
10983
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173 Array<octave_idx_type> tmp (nz, 1);
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diff changeset
174 copy_or_memcpy (nz, ridx (), tmp.fortran_vec ());
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diff changeset
175 retval = Sparse<bool> (Array<bool> (1, 1, true),
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diff changeset
176 idx_vector (tmp),
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diff changeset
177 idx_vector (static_cast<octave_idx_type> (0)),
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diff changeset
178 nr, 1, false);
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179 }
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180 }
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181
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diff changeset
182 return retval;
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183 }
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184
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diff changeset
185 SparseMatrix
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diff changeset
186 SparseBoolMatrix::sum (int dim) const
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diff changeset
187 {
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diff changeset
188 Sparse<double> retval;
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diff changeset
189 octave_idx_type nr = rows (), nc = cols (), nz = nnz ();
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diff changeset
190 if (dim == -1)
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diff changeset
191 dim = (nr == 1 && nc != 1) ? 1 : 0;
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192
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diff changeset
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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diff changeset
197 for(octave_idx_type i = 0; i < nc; i++)
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diff changeset
198 retval.xcidx(i+1) = retval.xcidx(i) + (cidx(i+1) > cidx(i));
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diff changeset
199 octave_idx_type new_nz = retval.xcidx(nc);
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diff changeset
200 retval.change_capacity (new_nz);
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diff changeset
201 fill_or_memset (new_nz, static_cast<octave_idx_type> (0), retval.ridx ());
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diff changeset
202 for(octave_idx_type i = 0, k = 0; i < nc; i++)
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diff changeset
203 {
4b51c0a20a98 optimize sum of sparse logical matrices
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diff changeset
204 octave_idx_type c = cidx(i+1) - cidx(i);
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diff changeset
205 if (c > 0)
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diff changeset
206 retval.xdata(k++) = c;
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diff changeset
207 }
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diff changeset
208 }
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diff changeset
209 else if (dim == 1)
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diff changeset
210 {
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211 // Result is a column vector.
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diff changeset
212 if (nz > nr)
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213 {
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214 // We can use O(nr) memory.
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diff changeset
215 Array<double> tmp (nr, 1, 0);
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diff changeset
216 for (octave_idx_type i = 0; i < nz; i++)
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diff changeset
217 tmp.xelem(ridx(i)) += 1.0;
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diff changeset
218 retval = tmp;
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219 }
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220 else
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diff changeset
221 {
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diff changeset
222 Array<octave_idx_type> tmp (nz, 1);
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diff changeset
223 copy_or_memcpy (nz, ridx (), tmp.fortran_vec ());
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diff changeset
224 retval = Sparse<double> (Array<double> (1, 1, 1.0),
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diff changeset
225 idx_vector (tmp),
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diff changeset
226 idx_vector (static_cast<octave_idx_type> (0)),
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diff changeset
227 nr, 1);
10976
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228 }
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229 }
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230
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diff changeset
231 return retval;
5164
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232 }
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233
7515
f3c00dc0912b Eliminate the rest of the dispatched sparse functions
David Bateman <dbateman@free.fr>
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diff changeset
234 SparseBoolMatrix
f3c00dc0912b Eliminate the rest of the dispatched sparse functions
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diff changeset
235 SparseBoolMatrix::diag (octave_idx_type k) const
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diff changeset
236 {
7620
36594d5bbe13 Move diag function into the octave_value class
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diff changeset
237 return Sparse<bool>::diag (k);
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diff changeset
238 }
f3c00dc0912b Eliminate the rest of the dispatched sparse functions
David Bateman <dbateman@free.fr>
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diff changeset
239
5164
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240 boolMatrix
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241 SparseBoolMatrix::matrix_value (void) const
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242 {
5275
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diff changeset
243 octave_idx_type nr = rows ();
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diff changeset
244 octave_idx_type nc = cols ();
5164
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245
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diff changeset
246 boolMatrix retval (nr, nc, false);
5275
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diff changeset
247 for (octave_idx_type j = 0; j < nc; j++)
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diff changeset
248 for (octave_idx_type i = cidx(j); i < cidx(j+1); i++)
5164
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diff changeset
249 retval.elem (ridx(i), j) = data (i);
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diff changeset
250
57077d0ddc8e [project @ 2005-02-25 19:55:24 by jwe]
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diff changeset
251 return retval;
57077d0ddc8e [project @ 2005-02-25 19:55:24 by jwe]
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diff changeset
252 }
57077d0ddc8e [project @ 2005-02-25 19:55:24 by jwe]
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diff changeset
253
57077d0ddc8e [project @ 2005-02-25 19:55:24 by jwe]
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diff changeset
254 std::ostream&
57077d0ddc8e [project @ 2005-02-25 19:55:24 by jwe]
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255 operator << (std::ostream& os, const SparseBoolMatrix& a)
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diff changeset
256 {
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diff changeset
257 octave_idx_type nc = a.cols ();
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diff changeset
258
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diff changeset
259 // add one to the printed indices to go from
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260 // zero-based to one-based arrays
5275
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diff changeset
261 for (octave_idx_type j = 0; j < nc; j++)
5164
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diff changeset
262 {
10142
829e69ec3110 make OCTAVE_QUIT a function
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diff changeset
263 octave_quit ();
5275
23b37da9fd5b [project @ 2005-04-08 16:07:35 by jwe]
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diff changeset
264 for (octave_idx_type i = a.cidx(j); i < a.cidx(j+1); i++)
10314
07ebe522dac2 untabify liboctave C++ sources
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diff changeset
265 os << a.ridx(i) + 1 << " " << j + 1 << " " << a.data(i) << "\n";
5164
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266 }
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diff changeset
267
57077d0ddc8e [project @ 2005-02-25 19:55:24 by jwe]
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268 return os;
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269 }
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270
57077d0ddc8e [project @ 2005-02-25 19:55:24 by jwe]
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diff changeset
271 std::istream&
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272 operator >> (std::istream& is, SparseBoolMatrix& a)
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diff changeset
273 {
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c6edba80dfae sanity checks for loading sparse matrices
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diff changeset
274 typedef SparseBoolMatrix::element_type elt_type;
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275
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c6edba80dfae sanity checks for loading sparse matrices
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diff changeset
276 return read_sparse_matrix<elt_type> (is, a, octave_read_value<bool>);
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277 }
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diff changeset
278
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diff changeset
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
57077d0ddc8e [project @ 2005-02-25 19:55:24 by jwe]
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285 SparseBoolMatrix
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diff changeset
286 SparseBoolMatrix::index (const idx_vector& i, bool resize_ok) const
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287 {
57077d0ddc8e [project @ 2005-02-25 19:55:24 by jwe]
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diff changeset
288 return Sparse<bool>::index (i, resize_ok);
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289 }
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diff changeset
290
57077d0ddc8e [project @ 2005-02-25 19:55:24 by jwe]
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diff changeset
291 SparseBoolMatrix
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diff changeset
292 SparseBoolMatrix::index (const idx_vector& i, const idx_vector& j, bool resize_ok) const
5164
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diff changeset
293 {
57077d0ddc8e [project @ 2005-02-25 19:55:24 by jwe]
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diff changeset
294 return Sparse<bool>::index (i, j, resize_ok);
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295 }
57077d0ddc8e [project @ 2005-02-25 19:55:24 by jwe]
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diff changeset
296
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diff changeset
297 SparseBoolMatrix
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diff changeset
298 SparseBoolMatrix::reshape (const dim_vector& new_dims) const
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diff changeset
299 {
57077d0ddc8e [project @ 2005-02-25 19:55:24 by jwe]
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diff changeset
300 return Sparse<bool>::reshape (new_dims);
57077d0ddc8e [project @ 2005-02-25 19:55:24 by jwe]
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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)