Mercurial > hg > octave-nkf
view liboctave/boolSparse.cc @ 11842:0b9c56b6bf0e release-3-0-x
partially sync Matrix::expm and ComplexMatrix::expm with development repo
author | Jaroslav Hajek <highegg@gmail.com> |
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date | Fri, 19 Sep 2008 11:29:51 +0200 |
parents | a1dbe9d80eee |
children | f3c00dc0912b |
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/* Copyright (C) 2004, 2005, 2006, 2007 David Bateman Copyright (C) 1998, 1999, 2000, 2001, 2002, 2003, 2004 Andy Adler This file is part of Octave. Octave is free software; you can redistribute it and/or modify it under the terms of the GNU General Public License as published by the Free Software Foundation; either version 3 of the License, or (at your option) any later version. Octave is distributed in the hope that it will be useful, but WITHOUT ANY WARRANTY; without even the implied warranty of MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU General Public License for more details. You should have received a copy of the GNU General Public License along with Octave; see the file COPYING. If not, see <http://www.gnu.org/licenses/>. */ #ifdef HAVE_CONFIG_H #include <config.h> #endif #include <iostream> #include <vector> #include "config.h" #include "quit.h" #include "lo-ieee.h" #include "lo-mappers.h" #include "boolSparse.h" // SparseBoolMatrix class. bool SparseBoolMatrix::operator == (const SparseBoolMatrix& a) const { octave_idx_type nr = rows (); octave_idx_type nc = cols (); octave_idx_type nz = nzmax (); octave_idx_type nr_a = a.rows (); octave_idx_type nc_a = a.cols (); octave_idx_type nz_a = a.nzmax (); if (nr != nr_a || nc != nc_a || nz != nz_a) return false; for (octave_idx_type i = 0; i < nc + 1; i++) if (cidx(i) != a.cidx(i)) return false; for (octave_idx_type i = 0; i < nz; i++) if (data(i) != a.data(i) || ridx(i) != a.ridx(i)) return false; return true; } bool SparseBoolMatrix::operator != (const SparseBoolMatrix& a) const { return !(*this == a); } SparseBoolMatrix& SparseBoolMatrix::insert (const SparseBoolMatrix& a, octave_idx_type r, octave_idx_type c) { Sparse<bool>::insert (a, r, c); return *this; } SparseBoolMatrix& SparseBoolMatrix::insert (const SparseBoolMatrix& a, const Array<octave_idx_type>& indx) { Sparse<bool>::insert (a, indx); return *this; } SparseBoolMatrix SparseBoolMatrix::concat (const SparseBoolMatrix& rb, const Array<octave_idx_type>& ra_idx) { // Don't use numel to avoid all possiblity of an overflow if (rb.rows () > 0 && rb.cols () > 0) insert (rb, ra_idx(0), ra_idx(1)); return *this; } // unary operations SparseBoolMatrix SparseBoolMatrix::operator ! (void) const { octave_idx_type nr = rows (); octave_idx_type nc = cols (); octave_idx_type nz1 = nzmax (); octave_idx_type nz2 = nr*nc - nz1; SparseBoolMatrix r (nr, nc, nz2); octave_idx_type ii = 0; octave_idx_type jj = 0; r.cidx (0) = 0; for (octave_idx_type i = 0; i < nc; i++) { for (octave_idx_type j = 0; j < nr; j++) { if (jj < cidx(i+1) && ridx(jj) == j) jj++; else { r.data(ii) = true; r.ridx(ii++) = j; } } r.cidx (i+1) = ii; } return r; } // other operations // FIXME Do these really belong here? Maybe they should be // in a base class? SparseBoolMatrix SparseBoolMatrix::all (int dim) const { SPARSE_ALL_OP (dim); } SparseBoolMatrix SparseBoolMatrix::any (int dim) const { SPARSE_ANY_OP (dim); } boolMatrix SparseBoolMatrix::matrix_value (void) const { octave_idx_type nr = rows (); octave_idx_type nc = cols (); boolMatrix retval (nr, nc, false); for (octave_idx_type j = 0; j < nc; j++) for (octave_idx_type i = cidx(j); i < cidx(j+1); i++) retval.elem (ridx(i), j) = data (i); return retval; } std::ostream& operator << (std::ostream& os, const SparseBoolMatrix& a) { octave_idx_type nc = a.cols (); // add one to the printed indices to go from // zero-based to one-based arrays for (octave_idx_type j = 0; j < nc; j++) { OCTAVE_QUIT; for (octave_idx_type i = a.cidx(j); i < a.cidx(j+1); i++) os << a.ridx(i) + 1 << " " << j + 1 << " " << a.data(i) << "\n"; } return os; } std::istream& operator >> (std::istream& is, SparseBoolMatrix& a) { octave_idx_type nr = a.rows (); octave_idx_type nc = a.cols (); octave_idx_type nz = a.nzmax (); if (nr < 1 || nc < 1) is.clear (std::ios::badbit); else { octave_idx_type itmp, jtmp, jold = 0; bool tmp; octave_idx_type ii = 0; a.cidx (0) = 0; for (octave_idx_type i = 0; i < nz; i++) { is >> itmp; itmp--; is >> jtmp; jtmp--; is >> tmp; if (is) { if (jold != jtmp) { for (octave_idx_type j = jold; j < jtmp; j++) a.cidx(j+1) = ii; jold = jtmp; } a.data (ii) = tmp; a.ridx (ii++) = itmp; } else goto done; } for (octave_idx_type j = jold; j < nc; j++) a.cidx(j+1) = ii; } done: return is; } SparseBoolMatrix SparseBoolMatrix::squeeze (void) const { return Sparse<bool>::squeeze (); } SparseBoolMatrix SparseBoolMatrix::index (idx_vector& i, int resize_ok) const { return Sparse<bool>::index (i, resize_ok); } SparseBoolMatrix SparseBoolMatrix::index (idx_vector& i, idx_vector& j, int resize_ok) const { return Sparse<bool>::index (i, j, resize_ok); } SparseBoolMatrix SparseBoolMatrix::index (Array<idx_vector>& ra_idx, int resize_ok) const { return Sparse<bool>::index (ra_idx, resize_ok); } SparseBoolMatrix SparseBoolMatrix::reshape (const dim_vector& new_dims) const { return Sparse<bool>::reshape (new_dims); } SparseBoolMatrix SparseBoolMatrix::permute (const Array<octave_idx_type>& vec, bool inv) const { return Sparse<bool>::permute (vec, inv); } SparseBoolMatrix SparseBoolMatrix::ipermute (const Array<octave_idx_type>& vec) const { return Sparse<bool>::ipermute (vec); } SPARSE_SMS_EQNE_OPS (SparseBoolMatrix, false, , bool, false, ) SPARSE_SMS_BOOL_OPS (SparseBoolMatrix, bool, false) SPARSE_SSM_EQNE_OPS (bool, false, , SparseBoolMatrix, false, ) SPARSE_SSM_BOOL_OPS (bool, SparseBoolMatrix, false) SPARSE_SMSM_EQNE_OPS (SparseBoolMatrix, false, , SparseBoolMatrix, false, ) SPARSE_SMSM_BOOL_OPS (SparseBoolMatrix, SparseBoolMatrix, false) /* ;;; Local Variables: *** ;;; mode: C++ *** ;;; End: *** */