- Currently not implemented... Add abseil patch - Add patches/absl-config.cmake Makefile: Add abseil-cpp on unix - Force abseil-cpp SHA1 to 45221cc note: Just before the PR #136 which break all CMake Makefile: Add abseil-cpp on windows - Force abseil-cpp SHA1 to 45221cc note: Just before the PR #136 which break all CMake CMake: Add abseil-cpp - Force abseil-cpp SHA1 to 45221cc note: Just before the PR #136 which break all CMake port to absl: C++ Part - Fix warning with the use of ABSL_MUST_USE_RESULT > The macro must appear as the very first part of a function declaration or definition: ... Note: past advice was to place the macro after the argument list. src: dependencies/sources/abseil-cpp-master/absl/base/attributes.h:418 - Rename enum after windows clash - Remove non compact table constraints - Change index type from int64 to int in routing library - Fix file_nonport compilation on windows - Fix another naming conflict with windows (NO_ERROR is a macro) - Cleanup hash containers; work on sat internals - Add optional_boolean sub-proto Sync cpp examples with internal code - reenable issue173 after reducing number of loops port to absl: Python Part - Add back cp_model.INT32_MIN|MAX for examples Update Python examples - Add random_tsp.py - Run words_square example - Run magic_square in python tests port to absl: Java Part - Fix compilation of the new routing parameters in java - Protect some code from SWIG parsing Update Java Examples port to absl: .Net Part Update .Net examples work on sat internals; Add C++ CP-SAT CpModelBuilder API; update sample code and recipes to use the new API; sync with internal code Remove VS 2015 in Appveyor-CI - abseil-cpp does not support VS 2015... improve tables upgrade C++ sat examples to use the new API; work on sat internals update license dates rewrite jobshop_ft06_distance.py to use the CP-SAT solver rename last example revert last commit more work on SAT internals fix
106 lines
4.1 KiB
Java
106 lines
4.1 KiB
Java
/**
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* Copyright (c) 1999-2011, Ecole des Mines de Nantes All rights reserved. Redistribution and use in
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* source and binary forms, with or without modification, are permitted provided that the following
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* conditions are met:
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*
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* <p>* Redistributions of source code must retain the above copyright notice, this list of
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* conditions and the following disclaimer. * Redistributions in binary form must reproduce the
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* above copyright notice, this list of conditions and the following disclaimer in the documentation
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* and/or other materials provided with the distribution. * Neither the name of the Ecole des Mines
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* de Nantes nor the names of its contributors may be used to endorse or promote products derived
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* from this software without specific prior written permission.
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*
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* <p>THIS SOFTWARE IS PROVIDED BY THE REGENTS AND CONTRIBUTORS ``AS IS'' AND ANY EXPRESS OR IMPLIED
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* WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS
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* FOR A PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE REGENTS AND CONTRIBUTORS BE LIABLE
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* FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING,
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* BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR PROFITS;
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* OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT,
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* STRICT LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE
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* OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
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*/
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import com.google.ortools.constraintsolver.*;
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/**
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* Partition n numbers into two groups, so that - the sum of the first group equals the sum of the
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* second, - and the sum of the squares of the first group equals the sum of the squares of the
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* second <br>
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*
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* @author Charles Prud'homme
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* @since 18/03/11
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*/
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public class Partition {
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static {
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System.loadLibrary("jniortools");
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}
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/** Partition Problem. */
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private static void solve(int m) {
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Solver solver = new Solver("Partition " + m);
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IntVar[] x, y;
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x = solver.makeIntVarArray(m, 1, 2 * m, "x");
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y = solver.makeIntVarArray(m, 1, 2 * m, "y");
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// break symmetries
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for (int i = 0; i < m - 1; i++) {
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solver.addConstraint(solver.makeLess(x[i], x[i + 1]));
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solver.addConstraint(solver.makeLess(y[i], y[i + 1]));
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}
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solver.addConstraint(solver.makeLess(x[0], y[0]));
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IntVar[] xy = new IntVar[2 * m];
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for (int i = m - 1; i >= 0; i--) {
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xy[i] = x[i];
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xy[m + i] = y[i];
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}
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solver.addConstraint(solver.makeAllDifferent(xy));
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int[] coeffs = new int[2 * m];
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for (int i = m - 1; i >= 0; i--) {
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coeffs[i] = 1;
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coeffs[m + i] = -1;
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}
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solver.addConstraint(solver.makeScalProdEquality(xy, coeffs, 0));
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IntVar[] sxy, sx, sy;
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sxy = new IntVar[2 * m];
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sx = new IntVar[m];
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sy = new IntVar[m];
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for (int i = m - 1; i >= 0; i--) {
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sx[i] = solver.makeSquare(x[i]).var();
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sxy[i] = sx[i];
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sy[i] = solver.makeSquare(y[i]).var();
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sxy[m + i] = sy[i];
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}
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solver.addConstraint(solver.makeScalProdEquality(sxy, coeffs, 0));
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solver.addConstraint(solver.makeSumEquality(x, 2 * m * (2 * m + 1) / 4));
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solver.addConstraint(solver.makeSumEquality(y, 2 * m * (2 * m + 1) / 4));
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solver.addConstraint(solver.makeSumEquality(sx, 2 * m * (2 * m + 1) * (4 * m + 1) / 12));
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solver.addConstraint(solver.makeSumEquality(sy, 2 * m * (2 * m + 1) * (4 * m + 1) / 12));
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DecisionBuilder db = solver.makeDefaultPhase(xy);
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SolutionCollector collector = solver.makeFirstSolutionCollector();
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collector.add(xy);
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SearchMonitor log = solver.makeSearchLog(10000);
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solver.newSearch(db, log, collector);
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solver.nextSolution();
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System.out.println("Solution solution");
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for (int i = 0; i < m; ++i) {
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System.out.print("[" + collector.value(0, xy[i]) + "] ");
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}
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System.out.printf("\n");
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for (int i = 0; i < m; ++i) {
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System.out.print("[" + collector.value(0, xy[m + i]) + "] ");
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}
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System.out.println();
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}
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public static void main(String[] args) throws Exception {
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Partition.solve(32);
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}
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}
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