git-subtree-dir: software/gecode_on_record git-subtree-split: 37ed9bda495ea87e63217c19a374b5a93bb0078e
397 lines
12 KiB
C++
397 lines
12 KiB
C++
/* -*- mode: C++; c-basic-offset: 2; indent-tabs-mode: nil -*- */
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/*
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* Main authors:
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* Guido Tack <tack@gecode.org>
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*
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* Copyright:
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* Guido Tack, 2009
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*
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* This file is part of Gecode, the generic constraint
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* development environment:
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* http://www.gecode.org
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*
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* Permission is hereby granted, free of charge, to any person obtaining
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* a copy of this software and associated documentation files (the
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* "Software"), to deal in the Software without restriction, including
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* without limitation the rights to use, copy, modify, merge, publish,
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* distribute, sublicense, and/or sell copies of the Software, and to
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* permit persons to whom the Software is furnished to do so, subject to
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* the following conditions:
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*
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* The above copyright notice and this permission notice shall be
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* included in all copies or substantial portions of the Software.
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*
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* THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND,
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* EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF
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* MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND
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* NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE
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* LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION
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* OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION
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* WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE.
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*
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*/
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#include <gecode/driver.hh>
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#include <gecode/int.hh>
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#include <gecode/minimodel.hh>
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using namespace Gecode;
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namespace {
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/**
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* \brief Specification of an open shop instance
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*
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*/
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class OpenShopSpec {
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public:
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const int m; //< number of machines
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const int n; //< number of jobs
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const int* p; //< processing times of the tasks
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/// Constructor
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OpenShopSpec(int m0, int n0, const int* p0) : m(m0), n(n0), p(p0) {}
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};
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extern OpenShopSpec examples[];
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extern const unsigned int n_examples;
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}
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/**
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* \brief %Example: open-shop scheduling
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*
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* \ingroup Example
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*
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*/
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class OpenShop : public IntMinimizeScript {
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protected:
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/// The instance specification
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const OpenShopSpec& spec;
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/// Precedences
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BoolVarArray b;
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/// Makespan
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IntVar makespan;
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/// Start times
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IntVarArray _start;
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/// %Task representation for CROSH heuristic
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class Task {
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public:
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int j; //< Job
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int m; //< Machine
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int p; //< Processing time
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/// Default constructor
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Task(void) {}
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/// Constructor
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Task(int j0, int m0, int p0) : j(j0), m(m0), p(p0) {}
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};
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/** \brief Use Constructive Randomized Open-Shop Heuristics
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* to compute lower and upper bounds
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*
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* This heuristic is taken from the paper
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* A. Malapert, H. Cambazard, C. Gueret, N. Jussien, A. Langevin,
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* L.-M. Rousseau: An Optimal Constraint Programming Approach to the
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* Open-Shop Problem. Technical report, CIRRELT-2009-25.
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*
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*/
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void crosh(Matrix<IntArgs>& dur, int& minmakespan, int& maxmakespan) {
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Support::RandomGenerator rnd;
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// Compute maximum makespan as the sum of all production times.
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maxmakespan = 0;
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for (int i=0; i<spec.m; i++)
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for (int j=0; j<spec.n; j++)
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maxmakespan += dur(i,j);
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// Compute minimum makespan as the maximum of individual jobs and machines
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minmakespan = 0;
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for (int i=0; i<spec.m; i++) {
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int ms = 0;
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for (int j=0; j<spec.n; j++) {
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ms += dur(i,j);
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}
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minmakespan = std::max(minmakespan, ms);
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}
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for (int j=0; j<spec.n; j++) {
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int ms = 0;
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for (int i=0; i<spec.m; i++) {
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ms += dur(i,j);
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}
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minmakespan = std::max(minmakespan, ms);
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}
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Region re;
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int* ct_j = re.alloc<int>(spec.n); // Job completion time
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int* ct_m = re.alloc<int>(spec.m); // Machine completion time
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Task* tasks = re.alloc<Task>(spec.n*spec.m); // Tasks
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int k=0;
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for (int i=spec.m; i--;)
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for (int j=spec.n; j--;)
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new (&tasks[k++]) Task(j,i,dur(i,j));
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int* t0_tasks = re.alloc<int>(spec.n*spec.m); // Earliest possible tasks
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bool stopCROSH = false;
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int maxIterations;
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switch (spec.n) {
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case 3: maxIterations = 5; break;
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case 4: maxIterations = 25; break;
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case 5: maxIterations = 50; break;
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case 6: maxIterations = 1000; break;
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case 7: maxIterations = 10000; break;
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case 8: maxIterations = 10000; break;
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case 9: maxIterations = 10000; break;
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default: maxIterations = 25000; break;
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}
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int iteration = 0;
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while (!stopCROSH && maxmakespan > minmakespan) {
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for (int i=spec.n; i--;) ct_j[i] = 0;
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for (int i=spec.m; i--;) ct_m[i] = 0;
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int cmax = 0; // Current makespan
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int u = spec.n*spec.m; // Consider all tasks
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while (u > 0) {
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int u_t0 = 0; // Set of selectable tasks
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int t0 = maxmakespan; // Minimal head of unscheduled tasks
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for (int i=0; i<u; i++) {
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const Task& t = tasks[i];
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int est = std::max(ct_j[t.j], ct_m[t.m]); // Head of T_jm
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if (est < t0) {
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t0 = est;
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t0_tasks[0] = i;
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u_t0 = 1;
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} else if (est == t0) {
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t0_tasks[u_t0++] = i;
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}
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}
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int t_j0m0;
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if (iteration == 0) {
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// In the first iteration, select tasks with longest processing time
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t_j0m0 = 0;
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for (int i=1; i<u_t0; i++)
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if (tasks[t0_tasks[i]].p > tasks[t0_tasks[t_j0m0]].p)
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t_j0m0 = i;
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} else {
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t_j0m0 = rnd(u_t0); // Select random task
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}
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const Task& t = tasks[t0_tasks[t_j0m0]];
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int ect = t0 + t.p;
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ct_j[t.j] = ect;
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ct_m[t.m] = ect;
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std::swap(tasks[--u],tasks[t0_tasks[t_j0m0]]); // Remove task from u
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cmax = std::max(cmax, ect);
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if (cmax > maxmakespan)
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break;
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}
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maxmakespan = std::min(maxmakespan,cmax);
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if (iteration++ > maxIterations)
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stopCROSH = true; // Iterate a couple of times
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}
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}
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public:
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/// The actual problem
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OpenShop(const SizeOptions& opt)
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: IntMinimizeScript(opt),
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spec(examples[opt.size()]),
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b(*this, (spec.n+spec.m-2)*spec.n*spec.m/2, 0,1),
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makespan(*this, 0, Int::Limits::max),
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_start(*this, spec.m*spec.n, 0, Int::Limits::max) {
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Matrix<IntVarArray> start(_start, spec.m, spec.n);
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IntArgs _dur(spec.m*spec.n, spec.p);
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Matrix<IntArgs> dur(_dur, spec.m, spec.n);
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int minmakespan;
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int maxmakespan;
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crosh(dur, minmakespan, maxmakespan);
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rel(*this, makespan <= maxmakespan);
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rel(*this, makespan >= minmakespan);
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int k=0;
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for (int m=0; m<spec.m; m++)
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for (int j0=0; j0<spec.n-1; j0++)
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for (int j1=j0+1; j1<spec.n; j1++) {
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// The tasks on machine m of jobs j0 and j1 must be disjoint
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rel(*this,
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b[k] == (start(m,j0) + dur(m,j0) <= start(m,j1)));
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rel(*this,
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b[k++] == (start(m,j1) + dur(m,j1) > start(m,j0)));
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}
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for (int j=0; j<spec.n; j++)
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for (int m0=0; m0<spec.m-1; m0++)
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for (int m1=m0+1; m1<spec.m; m1++) {
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// The tasks in job j on machine m0 and m1 must be disjoint
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rel(*this,
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b[k] == (start(m0,j) + dur(m0,j) <= start(m1,j)));
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rel(*this,
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b[k++] == (start(m1,j) + dur(m1,j) > start(m0,j)));
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}
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// The makespan is greater than the end time of the latest job
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for (int m=0; m<spec.m; m++) {
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for (int j=0; j<spec.n; j++) {
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rel(*this, start(m,j) + dur(m,j) <= makespan);
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}
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}
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// First branch over the precedences
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branch(*this, b, BOOL_VAR_AFC_MAX(opt.decay()), BOOL_VAL_MAX());
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// When the precedences are fixed, simply assign the start times
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assign(*this, _start, INT_ASSIGN_MIN());
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// When the start times are fixed, use the tightest makespan
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assign(*this, makespan, INT_ASSIGN_MIN());
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}
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/// Constructor for cloning \a s
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OpenShop(OpenShop& s) : IntMinimizeScript(s), spec(s.spec) {
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b.update(*this, s.b);
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makespan.update(*this, s.makespan);
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_start.update(*this, s._start);
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}
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/// Perform copying during cloning
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virtual Space*
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copy(void) {
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return new OpenShop(*this);
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}
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/// Minimize the makespan
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virtual IntVar
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cost(void) const {
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return makespan;
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}
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/// Helper class for representing tasks when printing a solution
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class PrintTask {
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public:
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int start; //< Start time
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int job; //< Job number
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int p; //< Processing time
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/// Comparison of tasks based on start time, used for sorting
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bool operator()(const PrintTask& t1, const PrintTask& t2) {
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return t1.start < t2.start;
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}
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};
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/// Print solution
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virtual void
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print(std::ostream& os) const {
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Region re;
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PrintTask* m = re.alloc<PrintTask>(spec.n);
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for (int i=0; i<spec.m; i++) {
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int k=0;
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for (int j=0; j<spec.n; j++) {
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m[k].start = _start[i*spec.n+j].val();
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m[k].job = j;
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m[k].p = spec.p[i*spec.n+j];
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k++;
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}
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Support::quicksort(m, spec.n, m[0]);
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os << "Machine " << i << ": ";
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for (int j=0; j<spec.n; j++)
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os << "\t" << m[j].job << "("<<m[j].p<<")";
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os << " = " << m[spec.n-1].start+m[spec.n-1].p << std::endl;
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}
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os << "Makespan: " << makespan << std::endl;
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}
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};
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/** \brief Main-function
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* \relates OpenShop
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*/
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int
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main(int argc, char* argv[]) {
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SizeOptions opt("OpenShop");
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opt.iterations(500);
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opt.size(0);
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opt.solutions(0);
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opt.parse(argc,argv);
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if (opt.size() >= n_examples) {
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std::cerr << "Error: size must be between 0 and "
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<< n_examples-1 << std::endl;
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return 1;
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}
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IntMinimizeScript::run<OpenShop,BAB,SizeOptions>(opt);
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return 0;
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}
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namespace {
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/** \name Open shop specifications
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*
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* Each specification gives the processing times of the tasks for each
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* job, as well as the number of jobs and machines.
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*
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* \relates OpenShop
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*/
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//@{
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const int ex0_p[] = {
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661,6,333,
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168,489,343,
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171,505,324
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};
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OpenShopSpec ex0(3,3,ex0_p);
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const int ex1_p[] = {
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54, 34, 61, 2,
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9, 15, 89, 70,
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38, 19, 28, 87,
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95, 34, 7, 29
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};
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OpenShopSpec ex1(4,4,ex1_p);
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const int ex2_p[] = {
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5, 70, 45, 83,
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24, 80, 58, 45,
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29, 56, 29, 61,
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43, 64, 45, 74
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};
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OpenShopSpec ex2(4,4,ex2_p);
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const int ex3_p[] = {
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89, 39, 54, 34, 71, 92, 56,
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19, 13, 81, 46, 91, 73, 27,
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66, 95, 48, 24, 96, 18, 14,
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48, 46, 78, 94, 19, 68, 63,
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60, 28, 91, 75, 52, 9, 7,
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33, 98, 37, 11, 2, 30, 38,
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83, 45, 37, 77, 52, 88, 52
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};
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OpenShopSpec ex3(7,7,ex3_p);
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const int ex4_p[] = {
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49, 58, 37, 79, 16, 64, 71, 65, 6, 44, 17, 85, 99, 57, 89, 4, 16, 8, 40, 66,
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43, 65, 42, 35, 57, 3, 8, 65, 79, 76, 82, 80, 96, 82, 98, 57, 73, 43, 6, 20,
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82, 49, 7, 18, 94, 76, 41, 17, 43, 15, 53, 10, 83, 24, 79, 62, 53, 77, 23, 70,
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18, 30, 80, 7, 97, 84, 10, 27, 7, 91, 14, 12, 7, 31, 24, 97, 16, 33, 99, 15,
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31, 65, 51, 95, 45, 70, 57, 10, 84, 52, 28, 43, 54, 40, 83, 9, 21, 57, 45, 67,
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70, 45, 48, 39, 10, 37, 22, 53, 48, 50, 76, 48, 57, 6, 43, 13, 45, 93, 42, 11,
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80, 5, 53, 97, 75, 22, 10, 70, 79, 92, 96, 18, 57, 3, 82, 52, 1, 21, 23, 38,
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43, 79, 67, 57, 33, 52, 1, 44, 82, 10, 27, 23, 89, 9, 62, 6, 38, 33, 37, 22,
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68, 20, 5, 25, 16, 80, 13, 73, 35, 36, 13, 53, 97, 50, 17, 54, 35, 86, 24, 56,
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60, 83, 8, 81, 3, 4, 48, 14, 77, 10, 71, 57, 86, 94, 49, 36, 62, 62, 41, 56,
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31, 77, 5, 97, 19, 19, 31, 19, 26, 41, 77, 64, 74, 11, 98, 30, 22, 22, 33, 61,
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7, 89, 46, 13, 33, 55, 84, 16, 21, 45, 15, 71, 57, 42, 82, 13, 62, 98, 36, 45,
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84, 90, 20, 61, 24, 59, 8, 49, 53, 53, 83, 76, 28, 62, 59, 11, 41, 2, 58, 46,
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32, 23, 53, 5, 8, 91, 97, 53, 90, 90, 28, 16, 61, 27, 32, 74, 23, 11, 57, 20,
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62, 85, 79, 96, 62, 85, 43, 53, 12, 36, 95, 37, 2, 48, 46, 81, 97, 54, 5, 77,
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57, 35, 41, 55, 72, 98, 22, 81, 6, 8, 70, 64, 55, 53, 7, 38, 58, 30, 83, 81,
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15, 11, 24, 63, 27, 90, 35, 22, 53, 22, 66, 75, 59, 80, 31, 91, 63, 82, 99, 62,
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4, 18, 99, 6, 65, 21, 28, 93, 16, 26, 1, 16, 46, 59, 45, 90, 69, 76, 25, 53,
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50, 24, 66, 2, 17, 85, 5, 86, 4, 88, 44, 5, 29, 19, 27, 14, 36, 57, 59, 15,
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71, 79, 7, 61, 45, 72, 61, 45, 61, 54, 90, 33, 81, 5, 45, 64, 87, 82, 61, 8
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};
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OpenShopSpec ex4(20,20,ex4_p);
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/// The instances
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OpenShopSpec examples[] = { ex0, ex1, ex2, ex3, ex4 };
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/// The number of instances
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const unsigned int n_examples = sizeof(examples) / sizeof(OpenShopSpec);
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//@}
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}
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// STATISTICS: example-any
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