/* -*- mode: C++; c-basic-offset: 2; indent-tabs-mode: nil -*- */ /* * Main authors: * Guido Tack * * Copyright: * Guido Tack, 2004 * * Last modified: * $Date: 2007-11-30 13:58:34 +0100 (Fri, 30 Nov 2007) $ by $Author: tack $ * $Revision: 5524 $ * * This file is part of Gecode, the generic constraint * development environment: * http://www.gecode.org * * Permission is hereby granted, free of charge, to any person obtaining * a copy of this software and associated documentation files (the * "Software"), to deal in the Software without restriction, including * without limitation the rights to use, copy, modify, merge, publish, * distribute, sublicense, and/or sell copies of the Software, and to * permit persons to whom the Software is furnished to do so, subject to * the following conditions: * * The above copyright notice and this permission notice shall be * included in all copies or substantial portions of the Software. * * THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, * EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF * MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND * NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE * LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION * OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION * WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE. * */ #include "gecode/set.hh" #include "examples/support.hh" #include "gecode/minimodel.hh" /** * \brief %Example: Generating hamming codes * * Generate a Hamming code that fits in b-bit words to code n symbols where * the Hamming distance between every two symbol codes is at least d. * The Hamming distance between to words is the number of bit positions * where they differ. * * This instance fixes b to 20 and d to 3. * * \ingroup ExProblem * */ class Hamming : public Example { public: /// The hamming code SetVarArray xs; /// Number of bits static const int bits = 20; /// Minimum distance between two codes static const int dist = 3; /// Actual model Hamming(const SizeOptions& opt) : xs(this,opt.size(),IntSet::empty,1,bits) { SetVarArray cxs(this,xs.size()); for (int i=0; i= dist); } } branch(this, xs, SET_VAR_NONE, SET_VAL_MIN); } /// Print solution virtual void print(std::ostream& os) { for (int i=0; i(opt); return 0; } // STATISTICS: example-any