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annotate liboctave/array/boolSparse.cc @ 20830:b65888ec820e draft default tip gccjit

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dmalcom gcc jit import
author Stefan Mahr <dac922@gmx.de>
date Fri, 27 Feb 2015 16:59:36 +0100
parents 4197fc428c7d
children
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1 /*
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2
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3 Copyright (C) 2004-2015 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-locbuf.h"
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39
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40 #include "Sparse-op-defs.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,
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76 octave_idx_type r, octave_idx_type c)
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77 {
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78 Sparse<bool>::insert (a, r, c);
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79 return *this;
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80 }
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81
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82 SparseBoolMatrix&
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83 SparseBoolMatrix::insert (const SparseBoolMatrix& a,
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84 const Array<octave_idx_type>& indx)
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85 {
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86 Sparse<bool>::insert (a, indx);
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87 return *this;
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88 }
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89
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90 SparseBoolMatrix
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91 SparseBoolMatrix::concat (const SparseBoolMatrix& rb,
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92 const Array<octave_idx_type>& ra_idx)
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93 {
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94 // Don't use numel to avoid all possiblity of an overflow
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95 if (rb.rows () > 0 && rb.cols () > 0)
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96 insert (rb, ra_idx(0), ra_idx(1));
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97 return *this;
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98 }
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99
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100 // unary operations
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101
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102 SparseBoolMatrix
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103 SparseBoolMatrix::operator ! (void) const
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104 {
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105 octave_idx_type nr = rows ();
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106 octave_idx_type nc = cols ();
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107 octave_idx_type nz1 = nnz ();
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108 octave_idx_type nz2 = nr*nc - nz1;
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109
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110 SparseBoolMatrix r (nr, nc, nz2);
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111
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112 octave_idx_type ii = 0;
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113 octave_idx_type jj = 0;
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114 r.cidx (0) = 0;
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115 for (octave_idx_type i = 0; i < nc; i++)
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116 {
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117 for (octave_idx_type j = 0; j < nr; j++)
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118 {
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119 if (jj < cidx (i+1) && ridx (jj) == j)
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120 jj++;
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121 else
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122 {
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123 r.data (ii) = true;
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124 r.ridx (ii++) = j;
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125 }
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126 }
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127 r.cidx (i+1) = ii;
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128 }
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129
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130 return r;
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131 }
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132
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133 // other operations
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134
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135 // FIXME: Do these really belong here? Maybe they should be in a base class?
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136
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137 SparseBoolMatrix
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138 SparseBoolMatrix::all (int dim) const
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139 {
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140 SPARSE_ALL_OP (dim);
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141 }
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142
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143 SparseBoolMatrix
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144 SparseBoolMatrix::any (int dim) const
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145 {
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146 Sparse<bool> retval;
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147 octave_idx_type nr = rows ();
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148 octave_idx_type nc = cols ();
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149 octave_idx_type nz = nnz ();
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150 if (dim == -1)
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diff changeset
151 dim = (nr == 1 && nc != 1) ? 1 : 0;
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152
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153 if (dim == 0)
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154 {
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155 // Result is a row vector.
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156 retval = Sparse<bool> (1, nc);
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157 retval.xcidx (0) = 0;
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diff changeset
158 for (octave_idx_type i = 0; i < nc; i++)
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159 retval.xcidx (i+1) = retval.xcidx (i) + (cidx (i+1) > cidx (i));
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160 octave_idx_type new_nz = retval.xcidx (nc);
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161 retval.change_capacity (new_nz);
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162 std::fill_n (retval.ridx (), new_nz, static_cast<octave_idx_type> (0));
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163 std::fill_n (retval.data (), new_nz, true);
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164 }
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165 else if (dim == 1)
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166 {
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167 // Result is a column vector.
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168 if (nz > nr/4)
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169 {
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170 // We can use O(nr) memory.
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171 Array<bool> tmp (dim_vector (nr, 1), false);
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172 for (octave_idx_type i = 0; i < nz; i++)
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173 tmp.xelem (ridx (i)) = true;
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174 retval = tmp;
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175 }
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176 else
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177 {
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178 Array<octave_idx_type> tmp (dim_vector (nz, 1));
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179 std::copy (ridx (), ridx () + nz, tmp.fortran_vec ());
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180 retval = Sparse<bool> (Array<bool> (dim_vector (1, 1), true),
11287
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181 idx_vector (tmp),
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182 idx_vector (static_cast<octave_idx_type> (0)),
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183 nr, 1, false);
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184 }
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185 }
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186
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187 return retval;
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188 }
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189
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190 SparseMatrix
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191 SparseBoolMatrix::sum (int dim) const
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192 {
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193 Sparse<double> retval;
18084
8e056300994b Follow coding convention of defining and initializing only 1 variable per line in liboctave.
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194 octave_idx_type nr = rows ();
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195 octave_idx_type nc = cols ();
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196 octave_idx_type nz = nnz ();
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197 if (dim == -1)
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diff changeset
198 dim = (nr == 1 && nc != 1) ? 1 : 0;
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199
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diff changeset
200 if (dim == 0)
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201 {
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202 // Result is a row vector.
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203 retval = Sparse<double> (1, nc);
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diff changeset
204 for (octave_idx_type i = 0; i < nc; i++)
3d8ace26c5b4 maint: Use Octave coding conventions for cuddled parentheses in liboctave/.
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diff changeset
205 retval.xcidx (i+1) = retval.xcidx (i) + (cidx (i+1) > cidx (i));
3d8ace26c5b4 maint: Use Octave coding conventions for cuddled parentheses in liboctave/.
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diff changeset
206 octave_idx_type new_nz = retval.xcidx (nc);
10983
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diff changeset
207 retval.change_capacity (new_nz);
19576
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diff changeset
208 std::fill_n (retval.ridx (), new_nz, static_cast<octave_idx_type> (0));
15018
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diff changeset
209 for (octave_idx_type i = 0, k = 0; i < nc; i++)
10983
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diff changeset
210 {
15018
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diff changeset
211 octave_idx_type c = cidx (i+1) - cidx (i);
10983
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diff changeset
212 if (c > 0)
15018
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diff changeset
213 retval.xdata (k++) = c;
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diff changeset
214 }
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215 }
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216 else if (dim == 1)
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217 {
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218 // Result is a column vector.
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diff changeset
219 if (nz > nr)
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diff changeset
220 {
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diff changeset
221 // We can use O(nr) memory.
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diff changeset
222 Array<double> tmp (dim_vector (nr, 1), 0);
10983
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diff changeset
223 for (octave_idx_type i = 0; i < nz; i++)
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diff changeset
224 tmp.xelem (ridx (i)) += 1.0;
10983
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diff changeset
225 retval = tmp;
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226 }
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diff changeset
227 else
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diff changeset
228 {
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diff changeset
229 Array<octave_idx_type> tmp (dim_vector (nz, 1));
19576
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diff changeset
230 std::copy (ridx (), ridx () + nz, tmp.fortran_vec ());
11570
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diff changeset
231 retval = Sparse<double> (Array<double> (dim_vector (1, 1), 1.0),
11287
d81b79c1bd5d fixes for --enable-64
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diff changeset
232 idx_vector (tmp),
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diff changeset
233 idx_vector (static_cast<octave_idx_type> (0)),
d81b79c1bd5d fixes for --enable-64
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diff changeset
234 nr, 1);
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235 }
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236 }
80653e42a551 optimize any for sparse bool matrices
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diff changeset
237
80653e42a551 optimize any for sparse bool matrices
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diff changeset
238 return retval;
5164
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239 }
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diff changeset
240
7515
f3c00dc0912b Eliminate the rest of the dispatched sparse functions
David Bateman <dbateman@free.fr>
parents: 7017
diff changeset
241 SparseBoolMatrix
f3c00dc0912b Eliminate the rest of the dispatched sparse functions
David Bateman <dbateman@free.fr>
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diff changeset
242 SparseBoolMatrix::diag (octave_idx_type k) const
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diff changeset
243 {
7620
36594d5bbe13 Move diag function into the octave_value class
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diff changeset
244 return Sparse<bool>::diag (k);
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diff changeset
245 }
f3c00dc0912b Eliminate the rest of the dispatched sparse functions
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parents: 7017
diff changeset
246
5164
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247 boolMatrix
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diff changeset
248 SparseBoolMatrix::matrix_value (void) const
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249 {
5275
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diff changeset
250 octave_idx_type nr = rows ();
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diff changeset
251 octave_idx_type nc = cols ();
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252
57077d0ddc8e [project @ 2005-02-25 19:55:24 by jwe]
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diff changeset
253 boolMatrix retval (nr, nc, false);
5275
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diff changeset
254 for (octave_idx_type j = 0; j < nc; j++)
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diff changeset
255 for (octave_idx_type i = cidx (j); i < cidx (j+1); i++)
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diff changeset
256 retval.elem (ridx (i), j) = data (i);
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diff changeset
257
57077d0ddc8e [project @ 2005-02-25 19:55:24 by jwe]
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diff changeset
258 return retval;
57077d0ddc8e [project @ 2005-02-25 19:55:24 by jwe]
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diff changeset
259 }
57077d0ddc8e [project @ 2005-02-25 19:55:24 by jwe]
jwe
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diff changeset
260
57077d0ddc8e [project @ 2005-02-25 19:55:24 by jwe]
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diff changeset
261 std::ostream&
57077d0ddc8e [project @ 2005-02-25 19:55:24 by jwe]
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diff changeset
262 operator << (std::ostream& os, const SparseBoolMatrix& a)
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diff changeset
263 {
5275
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diff changeset
264 octave_idx_type nc = a.cols ();
5164
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diff changeset
265
17769
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diff changeset
266 // add one to the printed indices to go from
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diff changeset
267 // zero-based to one-based arrays
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diff changeset
268 for (octave_idx_type j = 0; j < nc; j++)
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parents: 17744
diff changeset
269 {
49a5a4be04a1 maint: Use GNU style coding conventions for code in liboctave/
Rik <rik@octave.org>
parents: 17744
diff changeset
270 octave_quit ();
49a5a4be04a1 maint: Use GNU style coding conventions for code in liboctave/
Rik <rik@octave.org>
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diff changeset
271 for (octave_idx_type i = a.cidx (j); i < a.cidx (j+1); i++)
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parents: 17744
diff changeset
272 os << a.ridx (i) + 1 << " " << j + 1 << " " << a.data (i) << "\n";
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diff changeset
273 }
11586
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diff changeset
274
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diff changeset
275 return os;
57077d0ddc8e [project @ 2005-02-25 19:55:24 by jwe]
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diff changeset
276 }
57077d0ddc8e [project @ 2005-02-25 19:55:24 by jwe]
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diff changeset
277
57077d0ddc8e [project @ 2005-02-25 19:55:24 by jwe]
jwe
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diff changeset
278 std::istream&
57077d0ddc8e [project @ 2005-02-25 19:55:24 by jwe]
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diff changeset
279 operator >> (std::istream& is, SparseBoolMatrix& a)
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diff changeset
280 {
9469
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diff changeset
281 typedef SparseBoolMatrix::element_type elt_type;
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282
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diff changeset
283 return read_sparse_matrix<elt_type> (is, a, octave_read_value<bool>);
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284 }
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diff changeset
285
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diff changeset
286 SparseBoolMatrix
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diff changeset
287 SparseBoolMatrix::squeeze (void) const
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diff changeset
288 {
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diff changeset
289 return Sparse<bool>::squeeze ();
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290 }
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diff changeset
291
57077d0ddc8e [project @ 2005-02-25 19:55:24 by jwe]
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diff changeset
292 SparseBoolMatrix
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293 SparseBoolMatrix::index (const idx_vector& i, bool resize_ok) const
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294 {
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295 return Sparse<bool>::index (i, resize_ok);
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296 }
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297
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298 SparseBoolMatrix
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299 SparseBoolMatrix::index (const idx_vector& i, const idx_vector& j,
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300 bool resize_ok) const
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301 {
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302 return Sparse<bool>::index (i, j, resize_ok);
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303 }
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304
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305 SparseBoolMatrix
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306 SparseBoolMatrix::reshape (const dim_vector& new_dims) const
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307 {
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308 return Sparse<bool>::reshape (new_dims);
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309 }
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310
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311 SparseBoolMatrix
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312 SparseBoolMatrix::permute (const Array<octave_idx_type>& vec, bool inv) const
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313 {
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314 return Sparse<bool>::permute (vec, inv);
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315 }
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316
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317 SparseBoolMatrix
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318 SparseBoolMatrix::ipermute (const Array<octave_idx_type>& vec) const
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319 {
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320 return Sparse<bool>::ipermute (vec);
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321 }
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322
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323 SPARSE_SMS_EQNE_OPS (SparseBoolMatrix, false, , bool, false, )
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324 SPARSE_SMS_BOOL_OPS (SparseBoolMatrix, bool, false)
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325
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326 SPARSE_SSM_EQNE_OPS (bool, false, , SparseBoolMatrix, false, )
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327 SPARSE_SSM_BOOL_OPS (bool, SparseBoolMatrix, false)
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328
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329 SPARSE_SMSM_EQNE_OPS (SparseBoolMatrix, false, , SparseBoolMatrix, false, )
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330 SPARSE_SMSM_BOOL_OPS (SparseBoolMatrix, SparseBoolMatrix, false)