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annotate liboctave/boolSparse.cc @ 10983:4b51c0a20a98

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optimize sum of sparse logical matrices
author Jaroslav Hajek <highegg@gmail.com>
date Wed, 15 Sep 2010 22:31:12 +0200
parents 80653e42a551
children d81b79c1bd5d
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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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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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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 (nr, 1, false);
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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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175 retval = Sparse<bool> (Array<bool> (1, 1, true),
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176 idx_vector (tmp), idx_vector (0), nr, 1,
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177 false);
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178 }
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179 }
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180
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181 return retval;
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182 }
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183
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diff changeset
184 SparseMatrix
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185 SparseBoolMatrix::sum (int dim) const
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186 {
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187 Sparse<double> retval;
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188 octave_idx_type nr = rows (), nc = cols (), nz = nnz ();
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diff changeset
189 if (dim == -1)
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diff changeset
190 dim = (nr == 1 && nc != 1) ? 1 : 0;
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191
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192 if (dim == 0)
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193 {
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194 // Result is a row vector.
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195 retval = Sparse<double> (1, nc);
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diff changeset
196 for(octave_idx_type i = 0; i < nc; i++)
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diff changeset
197 retval.xcidx(i+1) = retval.xcidx(i) + (cidx(i+1) > cidx(i));
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diff changeset
198 octave_idx_type new_nz = retval.xcidx(nc);
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199 retval.change_capacity (new_nz);
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diff changeset
200 fill_or_memset (new_nz, static_cast<octave_idx_type> (0), retval.ridx ());
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diff changeset
201 for(octave_idx_type i = 0, k = 0; i < nc; i++)
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202 {
4b51c0a20a98 optimize sum of sparse logical matrices
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203 octave_idx_type c = cidx(i+1) - cidx(i);
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diff changeset
204 if (c > 0)
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205 retval.xdata(k++) = c;
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206 }
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207 }
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208 else if (dim == 1)
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209 {
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210 // Result is a column vector.
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211 if (nz > nr)
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212 {
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213 // We can use O(nr) memory.
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diff changeset
214 Array<double> tmp (nr, 1, 0);
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215 for (octave_idx_type i = 0; i < nz; i++)
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diff changeset
216 tmp.xelem(ridx(i)) += 1.0;
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217 retval = tmp;
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218 }
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219 else
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220 {
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diff changeset
221 Array<octave_idx_type> tmp (nz, 1);
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diff changeset
222 copy_or_memcpy (nz, ridx (), tmp.fortran_vec ());
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223 retval = Sparse<double> (Array<double> (1, 1, 1.0),
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diff changeset
224 idx_vector (tmp), idx_vector (0), nr, 1);
10976
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225 }
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226 }
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227
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228 return retval;
5164
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229 }
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230
7515
f3c00dc0912b Eliminate the rest of the dispatched sparse functions
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231 SparseBoolMatrix
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232 SparseBoolMatrix::diag (octave_idx_type k) const
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233 {
7620
36594d5bbe13 Move diag function into the octave_value class
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234 return Sparse<bool>::diag (k);
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235 }
f3c00dc0912b Eliminate the rest of the dispatched sparse functions
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236
5164
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237 boolMatrix
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238 SparseBoolMatrix::matrix_value (void) const
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239 {
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240 octave_idx_type nr = rows ();
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241 octave_idx_type nc = cols ();
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242
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243 boolMatrix retval (nr, nc, false);
5275
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244 for (octave_idx_type j = 0; j < nc; j++)
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245 for (octave_idx_type i = cidx(j); i < cidx(j+1); i++)
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246 retval.elem (ridx(i), j) = data (i);
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247
57077d0ddc8e [project @ 2005-02-25 19:55:24 by jwe]
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248 return retval;
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249 }
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250
57077d0ddc8e [project @ 2005-02-25 19:55:24 by jwe]
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251 std::ostream&
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252 operator << (std::ostream& os, const SparseBoolMatrix& a)
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253 {
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diff changeset
254 octave_idx_type nc = a.cols ();
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255
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256 // add one to the printed indices to go from
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257 // zero-based to one-based arrays
5275
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258 for (octave_idx_type j = 0; j < nc; j++)
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259 {
10142
829e69ec3110 make OCTAVE_QUIT a function
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diff changeset
260 octave_quit ();
5275
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diff changeset
261 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
262 os << a.ridx(i) + 1 << " " << j + 1 << " " << a.data(i) << "\n";
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263 }
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264
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265 return os;
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266 }
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267
57077d0ddc8e [project @ 2005-02-25 19:55:24 by jwe]
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268 std::istream&
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269 operator >> (std::istream& is, SparseBoolMatrix& a)
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diff changeset
270 {
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c6edba80dfae sanity checks for loading sparse matrices
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diff changeset
271 typedef SparseBoolMatrix::element_type elt_type;
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272
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diff changeset
273 return read_sparse_matrix<elt_type> (is, a, octave_read_value<bool>);
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274 }
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275
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276 SparseBoolMatrix
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277 SparseBoolMatrix::squeeze (void) const
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278 {
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279 return Sparse<bool>::squeeze ();
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280 }
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281
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282 SparseBoolMatrix
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diff changeset
283 SparseBoolMatrix::index (const idx_vector& i, bool resize_ok) const
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284 {
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285 return Sparse<bool>::index (i, resize_ok);
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286 }
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287
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288 SparseBoolMatrix
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diff changeset
289 SparseBoolMatrix::index (const idx_vector& i, const idx_vector& j, bool resize_ok) const
5164
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290 {
57077d0ddc8e [project @ 2005-02-25 19:55:24 by jwe]
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diff changeset
291 return Sparse<bool>::index (i, j, resize_ok);
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292 }
57077d0ddc8e [project @ 2005-02-25 19:55:24 by jwe]
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293
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294 SparseBoolMatrix
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295 SparseBoolMatrix::reshape (const dim_vector& new_dims) const
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diff changeset
296 {
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297 return Sparse<bool>::reshape (new_dims);
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298 }
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299
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300 SparseBoolMatrix
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diff changeset
301 SparseBoolMatrix::permute (const Array<octave_idx_type>& vec, bool inv) const
5164
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302 {
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303 return Sparse<bool>::permute (vec, inv);
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304 }
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305
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306 SparseBoolMatrix
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307 SparseBoolMatrix::ipermute (const Array<octave_idx_type>& vec) const
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308 {
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309 return Sparse<bool>::ipermute (vec);
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310 }
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311
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312 SPARSE_SMS_EQNE_OPS (SparseBoolMatrix, false, , bool, false, )
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313 SPARSE_SMS_BOOL_OPS (SparseBoolMatrix, bool, false)
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314
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315 SPARSE_SSM_EQNE_OPS (bool, false, , SparseBoolMatrix, false, )
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316 SPARSE_SSM_BOOL_OPS (bool, SparseBoolMatrix, false)
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317
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318 SPARSE_SMSM_EQNE_OPS (SparseBoolMatrix, false, , SparseBoolMatrix, false, )
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319 SPARSE_SMSM_BOOL_OPS (SparseBoolMatrix, SparseBoolMatrix, false)