annotate liboctave/array/boolSparse.cc @ 18084:8e056300994b

Follow coding convention of defining and initializing only 1 variable per line in liboctave. * liboctave/array/Array-b.cc, liboctave/array/Array-util.cc, liboctave/array/Array.cc, liboctave/array/CDiagMatrix.cc, liboctave/array/CMatrix.cc, liboctave/array/CSparse.cc, liboctave/array/MDiagArray2.cc, liboctave/array/MatrixType.cc, liboctave/array/PermMatrix.cc, liboctave/array/Sparse.cc, liboctave/array/Sparse.h, liboctave/array/boolSparse.cc, liboctave/array/dDiagMatrix.cc, liboctave/array/dMatrix.cc, liboctave/array/dSparse.cc, liboctave/array/dim-vector.cc, liboctave/array/fCDiagMatrix.cc, liboctave/array/fCMatrix.cc, liboctave/array/fDiagMatrix.cc, liboctave/array/fMatrix.cc, liboctave/array/idx-vector.cc, liboctave/array/idx-vector.h, liboctave/numeric/CmplxLU.cc, liboctave/numeric/CmplxQR.cc, liboctave/numeric/base-qr.cc, liboctave/numeric/bsxfun-defs.cc, liboctave/numeric/bsxfun.h, liboctave/numeric/dbleLU.cc, liboctave/numeric/dbleQR.cc, liboctave/numeric/fCmplxLU.cc, liboctave/numeric/fCmplxQR.cc, liboctave/numeric/floatLU.cc, liboctave/numeric/floatQR.cc, liboctave/numeric/lo-specfun.cc, liboctave/numeric/oct-convn.cc, liboctave/numeric/oct-norm.cc, liboctave/numeric/sparse-dmsolve.cc, liboctave/operators/mx-inlines.cc, liboctave/operators/mx-op-defs.h, liboctave/util/caseless-str.h, liboctave/util/kpse.cc, liboctave/util/lo-utils.cc, liboctave/util/oct-binmap.h, liboctave/util/oct-cmplx.h, liboctave/util/oct-inttypes.cc, liboctave/util/oct-inttypes.h, liboctave/util/oct-sort.cc: Follow coding convention of defining and initializing only 1 variable per line in liboctave.
author Rik <rik@octave.org>
date Wed, 04 Dec 2013 22:13:18 -0800
parents 49a5a4be04a1
children 65554f5847ac
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1 /*
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2
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3 Copyright (C) 2004-2013 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,
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75 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,
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83 const Array<octave_idx_type>& indx)
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84 {
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85 Sparse<bool>::insert (a, indx);
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86 return *this;
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87 }
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88
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89 SparseBoolMatrix
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90 SparseBoolMatrix::concat (const SparseBoolMatrix& rb,
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91 const Array<octave_idx_type>& ra_idx)
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92 {
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93 // Don't use numel to avoid all possiblity of an overflow
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94 if (rb.rows () > 0 && rb.cols () > 0)
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95 insert (rb, ra_idx(0), ra_idx(1));
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96 return *this;
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97 }
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98
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99 // unary operations
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100
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101 SparseBoolMatrix
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102 SparseBoolMatrix::operator ! (void) const
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103 {
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104 octave_idx_type nr = rows ();
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105 octave_idx_type nc = cols ();
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106 octave_idx_type nz1 = nnz ();
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107 octave_idx_type nz2 = nr*nc - nz1;
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108
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109 SparseBoolMatrix r (nr, nc, nz2);
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110
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111 octave_idx_type ii = 0;
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112 octave_idx_type jj = 0;
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113 r.cidx (0) = 0;
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114 for (octave_idx_type i = 0; i < nc; i++)
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115 {
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116 for (octave_idx_type j = 0; j < nr; j++)
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117 {
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118 if (jj < cidx (i+1) && ridx (jj) == j)
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119 jj++;
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120 else
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121 {
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122 r.data (ii) = true;
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123 r.ridx (ii++) = j;
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124 }
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125 }
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126 r.cidx (i+1) = ii;
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127 }
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128
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129 return r;
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130 }
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131
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132 // other operations
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133
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134 // FIXME: Do these really belong here? Maybe they should be in a base class?
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135
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136 SparseBoolMatrix
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137 SparseBoolMatrix::all (int dim) const
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138 {
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139 SPARSE_ALL_OP (dim);
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140 }
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141
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142 SparseBoolMatrix
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143 SparseBoolMatrix::any (int dim) const
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144 {
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145 Sparse<bool> retval;
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146 octave_idx_type nr = rows ();
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diff changeset
147 octave_idx_type nc = cols ();
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148 octave_idx_type nz = nnz ();
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149 if (dim == -1)
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150 dim = (nr == 1 && nc != 1) ? 1 : 0;
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151
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152 if (dim == 0)
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153 {
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154 // Result is a row vector.
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155 retval = Sparse<bool> (1, nc);
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156 retval.xcidx (0) = 0;
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157 for (octave_idx_type i = 0; i < nc; i++)
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158 retval.xcidx (i+1) = retval.xcidx (i) + (cidx (i+1) > cidx (i));
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159 octave_idx_type new_nz = retval.xcidx (nc);
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160 retval.change_capacity (new_nz);
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161 fill_or_memset (new_nz, static_cast<octave_idx_type> (0), retval.ridx ());
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162 fill_or_memset (new_nz, true, retval.data ());
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163 }
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164 else if (dim == 1)
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165 {
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166 // Result is a column vector.
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167 if (nz > nr/4)
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168 {
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169 // We can use O(nr) memory.
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170 Array<bool> tmp (dim_vector (nr, 1), false);
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171 for (octave_idx_type i = 0; i < nz; i++)
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172 tmp.xelem (ridx (i)) = true;
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173 retval = tmp;
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174 }
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175 else
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176 {
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177 Array<octave_idx_type> tmp (dim_vector (nz, 1));
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178 copy_or_memcpy (nz, ridx (), tmp.fortran_vec ());
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179 retval = Sparse<bool> (Array<bool> (dim_vector (1, 1), true),
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180 idx_vector (tmp),
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181 idx_vector (static_cast<octave_idx_type> (0)),
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182 nr, 1, false);
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183 }
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184 }
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185
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186 return retval;
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187 }
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188
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189 SparseMatrix
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190 SparseBoolMatrix::sum (int dim) const
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191 {
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192 Sparse<double> retval;
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193 octave_idx_type nr = rows ();
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194 octave_idx_type nc = cols ();
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195 octave_idx_type nz = nnz ();
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196 if (dim == -1)
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197 dim = (nr == 1 && nc != 1) ? 1 : 0;
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198
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199 if (dim == 0)
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200 {
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201 // Result is a row vector.
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202 retval = Sparse<double> (1, nc);
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203 for (octave_idx_type i = 0; i < nc; i++)
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diff changeset
204 retval.xcidx (i+1) = retval.xcidx (i) + (cidx (i+1) > cidx (i));
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diff changeset
205 octave_idx_type new_nz = retval.xcidx (nc);
10983
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diff changeset
206 retval.change_capacity (new_nz);
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diff changeset
207 fill_or_memset (new_nz, static_cast<octave_idx_type> (0), retval.ridx ());
15018
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diff changeset
208 for (octave_idx_type i = 0, k = 0; i < nc; i++)
10983
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diff changeset
209 {
15018
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diff changeset
210 octave_idx_type c = cidx (i+1) - cidx (i);
10983
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diff changeset
211 if (c > 0)
15018
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diff changeset
212 retval.xdata (k++) = c;
10983
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diff changeset
213 }
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diff changeset
214 }
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diff changeset
215 else if (dim == 1)
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diff changeset
216 {
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diff changeset
217 // Result is a column vector.
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diff changeset
218 if (nz > nr)
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diff changeset
219 {
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diff changeset
220 // We can use O(nr) memory.
11570
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diff changeset
221 Array<double> tmp (dim_vector (nr, 1), 0);
10983
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diff changeset
222 for (octave_idx_type i = 0; i < nz; i++)
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diff changeset
223 tmp.xelem (ridx (i)) += 1.0;
10983
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diff changeset
224 retval = tmp;
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diff changeset
225 }
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diff changeset
226 else
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diff changeset
227 {
11570
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diff changeset
228 Array<octave_idx_type> tmp (dim_vector (nz, 1));
10983
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diff changeset
229 copy_or_memcpy (nz, ridx (), tmp.fortran_vec ());
11570
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diff changeset
230 retval = Sparse<double> (Array<double> (dim_vector (1, 1), 1.0),
11287
d81b79c1bd5d fixes for --enable-64
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diff changeset
231 idx_vector (tmp),
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diff changeset
232 idx_vector (static_cast<octave_idx_type> (0)),
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diff changeset
233 nr, 1);
10976
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diff changeset
234 }
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235 }
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diff changeset
236
80653e42a551 optimize any for sparse bool matrices
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diff changeset
237 return retval;
5164
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238 }
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diff changeset
239
7515
f3c00dc0912b Eliminate the rest of the dispatched sparse functions
David Bateman <dbateman@free.fr>
parents: 7017
diff changeset
240 SparseBoolMatrix
f3c00dc0912b Eliminate the rest of the dispatched sparse functions
David Bateman <dbateman@free.fr>
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diff changeset
241 SparseBoolMatrix::diag (octave_idx_type k) const
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diff changeset
242 {
7620
36594d5bbe13 Move diag function into the octave_value class
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diff changeset
243 return Sparse<bool>::diag (k);
7515
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diff changeset
244 }
f3c00dc0912b Eliminate the rest of the dispatched sparse functions
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parents: 7017
diff changeset
245
5164
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diff changeset
246 boolMatrix
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diff changeset
247 SparseBoolMatrix::matrix_value (void) const
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diff changeset
248 {
5275
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diff changeset
249 octave_idx_type nr = rows ();
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diff changeset
250 octave_idx_type nc = cols ();
5164
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251
57077d0ddc8e [project @ 2005-02-25 19:55:24 by jwe]
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diff changeset
252 boolMatrix retval (nr, nc, false);
5275
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diff changeset
253 for (octave_idx_type j = 0; j < nc; j++)
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diff changeset
254 for (octave_idx_type i = cidx (j); i < cidx (j+1); i++)
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diff changeset
255 retval.elem (ridx (i), j) = data (i);
5164
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diff changeset
256
57077d0ddc8e [project @ 2005-02-25 19:55:24 by jwe]
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diff changeset
257 return retval;
57077d0ddc8e [project @ 2005-02-25 19:55:24 by jwe]
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diff changeset
258 }
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]
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diff changeset
260 std::ostream&
57077d0ddc8e [project @ 2005-02-25 19:55:24 by jwe]
jwe
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diff changeset
261 operator << (std::ostream& os, const SparseBoolMatrix& a)
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diff changeset
262 {
5275
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diff changeset
263 octave_idx_type nc = a.cols ();
5164
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diff changeset
264
17769
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parents: 17744
diff changeset
265 // add one to the printed indices to go from
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diff changeset
266 // zero-based to one-based arrays
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diff changeset
267 for (octave_idx_type j = 0; j < nc; j++)
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parents: 17744
diff changeset
268 {
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diff changeset
269 octave_quit ();
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diff changeset
270 for (octave_idx_type i = a.cidx (j); i < a.cidx (j+1); i++)
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parents: 17744
diff changeset
271 os << a.ridx (i) + 1 << " " << j + 1 << " " << a.data (i) << "\n";
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diff changeset
272 }
11586
12df7854fa7c strip trailing whitespace from source files
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parents: 11571
diff changeset
273
5164
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diff changeset
274 return os;
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parents:
diff changeset
275 }
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]
jwe
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diff changeset
277 std::istream&
57077d0ddc8e [project @ 2005-02-25 19:55:24 by jwe]
jwe
parents:
diff changeset
278 operator >> (std::istream& is, SparseBoolMatrix& a)
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diff changeset
279 {
9469
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diff changeset
280 typedef SparseBoolMatrix::element_type elt_type;
5164
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diff changeset
281
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diff changeset
282 return read_sparse_matrix<elt_type> (is, a, octave_read_value<bool>);
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283 }
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284
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285 SparseBoolMatrix
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286 SparseBoolMatrix::squeeze (void) const
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287 {
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288 return Sparse<bool>::squeeze ();
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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, bool resize_ok) const
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293 {
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294 return Sparse<bool>::index (i, resize_ok);
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295 }
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296
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297 SparseBoolMatrix
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298 SparseBoolMatrix::index (const idx_vector& i, const idx_vector& j,
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299 bool resize_ok) const
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300 {
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301 return Sparse<bool>::index (i, j, resize_ok);
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302 }
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303
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304 SparseBoolMatrix
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305 SparseBoolMatrix::reshape (const dim_vector& new_dims) const
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306 {
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307 return Sparse<bool>::reshape (new_dims);
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308 }
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309
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310 SparseBoolMatrix
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311 SparseBoolMatrix::permute (const Array<octave_idx_type>& vec, bool inv) const
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312 {
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313 return Sparse<bool>::permute (vec, inv);
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314 }
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315
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316 SparseBoolMatrix
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317 SparseBoolMatrix::ipermute (const Array<octave_idx_type>& vec) const
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318 {
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319 return Sparse<bool>::ipermute (vec);
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320 }
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321
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322 SPARSE_SMS_EQNE_OPS (SparseBoolMatrix, false, , bool, false, )
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323 SPARSE_SMS_BOOL_OPS (SparseBoolMatrix, bool, false)
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324
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325 SPARSE_SSM_EQNE_OPS (bool, false, , SparseBoolMatrix, false, )
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326 SPARSE_SSM_BOOL_OPS (bool, SparseBoolMatrix, false)
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327
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328 SPARSE_SMSM_EQNE_OPS (SparseBoolMatrix, false, , SparseBoolMatrix, false, )
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329 SPARSE_SMSM_BOOL_OPS (SparseBoolMatrix, SparseBoolMatrix, false)