001package org.cpsolver.ifs.example.csp;
002
003import java.io.File;
004import java.io.FileInputStream;
005import java.io.FileOutputStream;
006import java.io.FileWriter;
007import java.io.PrintWriter;
008import java.util.Date;
009import java.util.Iterator;
010import java.util.Locale;
011import java.util.StringTokenizer;
012
013import org.cpsolver.ifs.model.Constraint;
014import org.cpsolver.ifs.solution.Solution;
015import org.cpsolver.ifs.solver.Solver;
016import org.cpsolver.ifs.util.DataProperties;
017import org.cpsolver.ifs.util.Progress;
018import org.cpsolver.ifs.util.ProgressWriter;
019import org.cpsolver.ifs.util.ToolBox;
020
021
022/**
023 * Test of Structured CSP problems. It takes one argument -- property file with
024 * all the parameters. It allows to execute given number of tests. It also
025 * allows to define several configurations which will be executed. For instance
026 * CSP(20,15,5%..95%,5..95%), 10 runs of each configuration. All such
027 * configuration are processed in one run of Test class. <br>
028 * <br>
029 * In Structured CSP, variables are divided into several kernels (some variables
030 * may remain ouside kernels). Different constraints (in density and tightnes)
031 * are generated according to whether variables are from the same kernel or not. <br>
032 * <br>
033 * Test's parameters: <br>
034 * <table border='1' summary='Related Solver Parameters'>
035 * <tr>
036 * <th>Parameter</th>
037 * <th>Type</th>
038 * <th>Comment</th>
039 * </tr>
040 * <tr>
041 * <td>General.MPP</td>
042 * <td>{@link String}</td>
043 * <td>Minimal perturbation problem (if true), this mj. means that initial
044 * assignment will be generated</td>
045 * </tr>
046 * <tr>
047 * <td>CSP.Seed</td>
048 * <td>{@link Long}</td>
049 * <td>Random number generator seed, {@link System#currentTimeMillis()} is taken
050 * if not present</td>
051 * </tr>
052 * <tr>
053 * <td>CSP.ForceSolutionExistance</td>
054 * <td>{@link Boolean}</td>
055 * <td>If true, generated problem will always have at least one feasible
056 * solution</td>
057 * </tr>
058 * <tr>
059 * <td>CPS.NrTests</td>
060 * <td>{@link Integer}</td>
061 * <td>Number of tests (for each input configuration)</td>
062 * </tr>
063 * <tr>
064 * <td>CSP.NrVariables</td>
065 * <td>{@link Integer}</td>
066 * <td>Number of variables</td>
067 * </tr>
068 * <tr>
069 * <td>CSP.NrVariablesMin<br>
070 * CSP.NrVariablesMax<br>
071 * CSP.NrVariablesStep</td>
072 * <td>{@link Integer}</td>
073 * <td>Range of the number variables (a set of different configurations will be
074 * generated)<br>
075 * Use either CSP.NrVariables or these CSP.NrVariablesMin, CSP.NrVariablesMax,
076 * CSP.NrVariablesStep</td>
077 * </tr>
078 * <tr>
079 * <td>CSP.DomainSize</td>
080 * <td>{@link Integer}</td>
081 * <td>Number of values of every variable</td>
082 * </tr>
083 * <tr>
084 * <td>CSP.DomainSizeRatio</td>
085 * <td>{@link Double}</td>
086 * <td>Number of values as a ration of the number of variables. This way we can
087 * model for instance CSP(N,2N,p1,p2) problems with one configuration.<br>
088 * Use either CSP.DomainSize or CSP.DomainSizeRatio</td>
089 * </tr>
090 * <tr>
091 * <td>CSP.Tightness</td>
092 * <td>{@link Double}</td>
093 * <td>Tightness of constraints outside kernels</td>
094 * </tr>
095 * <tr>
096 * <td>CSP.TightnessMin<br>
097 * CSP.TightnessMax<br>
098 * CSP.TightnessStep</td>
099 * <td>{@link Double}</td>
100 * <td>Tightness of constraints outside kernels given as a range &rarr; respective
101 * configurations will be generated and tested</td>
102 * </tr>
103 * <tr>
104 * <td>CSP.Density</td>
105 * <td>{@link Double}</td>
106 * <td>Density of constraints outside kernels</td>
107 * </tr>
108 * <tr>
109 * <td>CSP.DensityMin<br>
110 * CSP.DensityMax<br>
111 * CSP.DensityStep</td>
112 * <td>{@link Double}</td>
113 * <td>Density of constraints outside kernels given as a range &rarr; respective
114 * configurations will be generated and tested</td>
115 * </tr>
116 * <tr>
117 * <td>CSP.NrKernels</td>
118 * <td>{@link Integer}</td>
119 * <td>Number of kernels (Structured CSP, use 0 for "normal" CSP)</td>
120 * </tr>
121 * <tr>
122 * <td>CSP.KernelSize</td>
123 * <td>{@link Integer}</td>
124 * <td>Number of variables in each kernel</td>
125 * </tr>
126 * <tr>
127 * <td>CSP.KernelTightness</td>
128 * <td>{@link Double}</td>
129 * <td>Tightness of constraints inside a kernel</td>
130 * </tr>
131 * <tr>
132 * <td>CSP.KernelDensity</td>
133 * <td>{@link Double}</td>
134 * <td>Density of constraints inside a kernel</td>
135 * </tr>
136 * <tr>
137 * <td>CSP.SameProblemEachStep</td>
138 * <td>{@link Boolean}</td>
139 * <td>If true, each configuration will start with the same seed</td>
140 * </tr>
141 * <tr>
142 * <td>CSP.SameProblemEachTest</td>
143 * <td>{@link Boolean}</td>
144 * <td>If true, each test of the same configuration will start with the same
145 * seed</td>
146 * </tr>
147 * <tr>
148 * <td>General.Output</td>
149 * <td>{@link String}</td>
150 * <td>Output folder where a log file and tables with results. In order not to
151 * overwrite the results if executed more than once, a subfolder with the name
152 * taken from current date and time will be created in this folder and all
153 * results will go to this subfolder.</td>
154 * </tr>
155 * </table>
156 * <br>
157 * <br>
158 * Also, the configuration file can consist only from one parameter (named
159 * INCLUDE_REGEXP) which is processed as a regular expression of semicolon
160 * separated list of property files, for instance
161 * <pre><code>INCLUDE_REGEXP=general.ini;{CSP(50,12,250,p2)|CSP(25,15,198,p2)}.ini;{std|opt}.ini;{10x1min}.ini;{cbs|rw1|tabu20}.ini</code></pre>
162 * where {a|b|c|...} means a selection of a, b, c, .. All possible combinations
163 * are taken and for each of them an input configuration is combined from the
164 * relevant files. So, for instance, the above example will result into the
165 * following configurations:
166 * <ul>
167 * <li>general.ini;CSP(50,12,250,p2).ini;std.ini;10x1min.ini;cbs.ini
168 * <li>general.ini;CSP(50,12,250,p2).ini;std.ini;10x1min.ini;rw1.ini
169 * <li>general.ini;CSP(50,12,250,p2).ini;std.ini;10x1min.ini;tabu20.ini
170 * <li>general.ini;CSP(50,12,250,p2).ini;opt.ini;10x1min.ini;cbs.ini
171 * <li>general.ini;CSP(50,12,250,p2).ini;opt.ini;10x1min.ini;rw1.ini
172 * <li>general.ini;CSP(50,12,250,p2).ini;opt.ini;10x1min.ini;tabu20.ini
173 * <li>general.ini;CSP(25,15,198,p2).ini;std.ini;10x1min.ini;cbs.ini
174 * <li>general.ini;CSP(25,15,198,p2).ini;std.ini;10x1min.ini;rw1.ini
175 * <li>general.ini;CSP(25,15,198,p2).ini;std.ini;10x1min.ini;tabu20.ini
176 * <li>general.ini;CSP(25,15,198,p2).ini;opt.ini;10x1min.ini;cbs.ini
177 * <li>general.ini;CSP(25,15,198,p2).ini;opt.ini;10x1min.ini;rw1.ini
178 * <li>general.ini;CSP(25,15,198,p2).ini;opt.ini;10x1min.ini;tabu20.ini
179 * </ul>
180 * To be able to distinguish such configuration a subfolder in General.Output
181 * folder is created, its name is combined from the names which are in
182 * parenthesis. So, for instance the first bunch of tests will output into the
183 * folder:
184 * <pre><code>
185 * ${General.Output}\CSP(50,12,250,p2)_std_10x1min_csb\25-Feb-05_191136
186 * </code></pre>
187 * If one parameter is defined in more than one configuration files (e.g. in
188 * general.ini as well as cbs.ini) the one from the file more on the right is
189 * taken. <br>
190 * <br>
191 * An example of the configurations:<br>
192 * File<b> general.ini</b>
193 * <pre><code>
194 * #Default settings common for all configurations
195 * General.MPP=false
196 * General.InitialAssignment=false
197 * General.Output=output\\RandomCSP\\IFS
198 * 
199 * #Value selection heuristics
200 * Value.Class=org.cpsolver.ifs.heuristics.GeneralValueSelection
201 * Value.WeightWeightedConflicts=0.0
202 * Value.RandomWalkProb=0.0
203 * Value.WeightConflicts=1.0
204 * Value.WeightNrAssignments=0.0
205 * Value.WeightValue=0.0
206 * Value.Tabu=0
207 * 
208 * #Variable selection heuristics
209 * Variable.Class=org.cpsolver.ifs.heuristics.GeneralVariableSelection
210 * Variable.RandomSelection=true
211 * 
212 * #Termination condition
213 * Termination.Class=org.cpsolver.ifs.termination.GeneralTerminationCondition
214 * Termination.MaxIters=-1
215 * Termination.TimeOut=-1
216 * Termination.StopWhenComplete=true
217 * 
218 * #Solution comparator
219 * Comparator.Class=org.cpsolver.ifs.solution.GeneralSolutionComparator
220 * </code></pre>
221 * File<b> CSP(50,12,250,p2).ini</b>
222 * <pre><code>
223 * #Sparse problem CSP(50,12,250/1225,p2)
224 * CSP.NrVariables=50
225 * CSP.DomainSize=12
226 * CSP.Density=0.2
227 * CSP.TightnessMin=0.10
228 * CSP.TightnessMax=0.95
229 * CSP.TightnessStep=0.02
230 *  
231 * CSP.Seed=780921
232 * 
233 * CSP.ForceSolutionExistance=false
234 * CSP.SameProblemEachStep=false
235 * CSP.SameProblemEachTest=false
236 * 
237 * CSP.NrKernels=0
238 * </code></pre>
239 * File<b> std.ini</b>
240 * <pre><code>
241 * #Standard problem
242 * CSP.ForceSolutionExistance=false
243 * </code></pre>
244 * File<b> opt.ini</b>
245 * <pre><code>
246 * #Optimization problem (minCSP)
247 * #Value selection: use weigh of a conflict, but when there are more than one value
248 * #        with the same number of conflicts, use the one with lower value
249 * Value.WeightValue=0.0001
250 * Value.WeightConflicts=1.0
251 * #Do not stop when a complete solution is found
252 * Termination.StopWhenComplete=false
253 * </code></pre>
254 * File<b> 10x1min.ini</b>
255 * <pre><code>
256 * #For each configuration, execute 10 tests, each with 1 minute timeout
257 * CPS.NrTests=10
258 * Termination.TimeOut=60
259 * </code></pre>
260 * File<b> cbs.ini</b>
261 * <pre><code>
262 * #Use conflict-based statistics
263 * Extensions.Classes=org.cpsolver.ifs.extension.ConflictStatistics
264 * Value.WeightWeightedConflicts=1.0
265 * </code></pre>
266 * File<b> tabu20.ini</b>
267 * <pre><code>
268 * #Use tabu-list of the length 20
269 * Value.Tabu=20
270 * </code></pre>
271 * File<b> rw1.ini</b>
272 * <pre><code>
273 * #Use 1% random walk selection
274 * Value.RandomWalkProb=0.01
275 * </code></pre>
276 * 
277 * @see StructuredCSPModel
278 * @see org.cpsolver.ifs.extension.ConflictStatistics
279 * @see org.cpsolver.ifs.heuristics.GeneralValueSelection
280 * @see org.cpsolver.ifs.heuristics.GeneralVariableSelection
281 * @see org.cpsolver.ifs.termination.GeneralTerminationCondition
282 * @see org.cpsolver.ifs.solution.GeneralSolutionComparator
283 * 
284 * @version IFS 1.3 (Iterative Forward Search)<br>
285 *          Copyright (C) 2006 - 2014 Tomáš Müller<br>
286 *          <a href="mailto:muller@unitime.org">muller@unitime.org</a><br>
287 *          <a href="http://muller.unitime.org">http://muller.unitime.org</a><br>
288 * <br>
289 *          This library is free software; you can redistribute it and/or modify
290 *          it under the terms of the GNU Lesser General Public License as
291 *          published by the Free Software Foundation; either version 3 of the
292 *          License, or (at your option) any later version. <br>
293 * <br>
294 *          This library is distributed in the hope that it will be useful, but
295 *          WITHOUT ANY WARRANTY; without even the implied warranty of
296 *          MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU
297 *          Lesser General Public License for more details. <br>
298 * <br>
299 *          You should have received a copy of the GNU Lesser General Public
300 *          License along with this library; if not see
301 *          <a href='http://www.gnu.org/licenses/'>http://www.gnu.org/licenses/</a>.
302 */
303public class Test {
304    private static java.text.DecimalFormat sDoubleFormat = new java.text.DecimalFormat("0.000",
305            new java.text.DecimalFormatSymbols(Locale.US));
306    private static java.text.SimpleDateFormat sDateFormat = new java.text.SimpleDateFormat("dd-MMM-yy_HHmmss",
307            java.util.Locale.US);
308    private static org.apache.log4j.Logger sLogger = org.apache.log4j.Logger.getLogger(Test.class);
309
310    private static void test(DataProperties properties) throws Exception {
311        boolean sameProblemStep = properties.getPropertyBoolean("CSP.SameProblemEachStep", false);
312        boolean sameProblemTest = properties.getPropertyBoolean("CSP.SameProblemEachTest", false);
313        int nrVars = properties.getPropertyInt("CSP.NrVariables", 20);
314        int nrKernels = properties.getPropertyInt("CSP.NrKernels", 2);
315        int nrKernelVariables = properties.getPropertyInt("CSP.KernelSize", 8);
316        int nrVariablesMin = properties.getPropertyInt("CSP.NrVariablesMin", nrVars);
317        int nrVariablesMax = properties.getPropertyInt("CSP.NrVariablesMax", nrVars);
318        int nrVariablesStep = properties.getPropertyInt("CSP.NrVariablesStep", 1);
319        int nrValues = properties.getPropertyInt("CSP.DomainSize", 10);
320        double nrValuesRatio = properties.getPropertyDouble("CSP.DomainSizeRatio", -1);
321        float kernelTightness = properties.getPropertyFloat("CSP.KernelTightness", 0.097f);
322        float kernelDensity = properties.getPropertyFloat("CSP.KernelDensity", 0.097f);
323        float tightnessInit = properties.getPropertyFloat("CSP.Tightness", 0.4f);
324        float tightnessMin = properties.getPropertyFloat("CSP.TightnessMin", tightnessInit);
325        float tightnessMax = properties.getPropertyFloat("CSP.TightnessMax", tightnessInit) + 1e-6f;
326        float tightnessStep = properties.getPropertyFloat("CSP.TightnessStep", 0.1f);
327        float densityInit = properties.getPropertyFloat("CSP.Density", 0.4f);
328        float densityMin = properties.getPropertyFloat("CSP.DensityMin", densityInit);
329        float densityMax = properties.getPropertyFloat("CSP.DensityMax", densityInit) + 1e-6f;
330        float densityStep = properties.getPropertyFloat("CSP.DensityStep", 0.1f);
331        long seed = properties.getPropertyLong("CSP.Seed", System.currentTimeMillis());
332        int nrTests = properties.getPropertyInt("CPS.NrTests", 10);
333        boolean mpp = properties.getPropertyBoolean("General.MPP", false);
334        PrintWriter logStat = new PrintWriter(new FileWriter(properties.getProperty("General.Output") + File.separator
335                + "rcsp_" + nrVariablesMin + "_" + nrValues + ".csv"));
336        PrintWriter logAvgStat = new PrintWriter(new FileWriter(properties.getProperty("General.Output")
337                + File.separator + "avg_stat.csv"));
338        PrintWriter log = new PrintWriter(new FileWriter(properties.getProperty("General.Output") + File.separator
339                + "info.txt"));
340        logStat
341                .println("testNr;nrVars;nrVals;density[%];tightness[%];time[s];iters;speed[it/s];unassConstr;assigned;assigned[%]"
342                        + (mpp ? ";perts;perts[%]" : "") + ";value;totalValue");
343        logAvgStat
344                .println("nrVars;nrVals;density[%];tightness[%];time[s];RMStime[s];iters;RMSiters;speed[it/s];unassConst;assigned;RMSassigned;assigned[%]"
345                        + (mpp ? ";perts;RMSperts;perts[%]" : "") + ";value;RMSvalue;totalValue;RMStotalValue");
346        System.out.println("Number of variables: " + nrVariablesMin + " .. " + nrVariablesMax + "  (step="
347                + nrVariablesStep + ")");
348        System.out.println("Density:             " + densityMin + " .. " + densityMax + "  (step=" + densityStep + ")");
349        System.out.println("Tightness:           " + tightnessMin + " .. " + tightnessMax + "  (step=" + tightnessStep
350                + ")");
351        for (int nrVariables = nrVariablesMin; nrVariables <= nrVariablesMax; nrVariables += nrVariablesStep) {
352            if (nrValuesRatio > 0.0)
353                nrValues = (int) Math.round(nrValuesRatio * nrVariables);
354            for (float density = densityMin; density <= densityMax; density += densityStep) {
355                for (float tightness = tightnessMin; tightness <= tightnessMax; tightness += tightnessStep) {
356                    log.println("CSP{#Var=" + nrVariables + ", #Val=" + nrValues + ", P(density)="
357                            + sDoubleFormat.format(100.0 * density) + "%, P(tighness)="
358                            + sDoubleFormat.format(100.0 * tightness) + ", " + nrKernels + "x Kernel{#Var="
359                            + nrKernelVariables + ", P(density)=" + sDoubleFormat.format(100.0 * kernelDensity)
360                            + "%, P(tighness)=" + sDoubleFormat.format(100.0 * kernelTightness) + "%}}");
361                    double sumTime = 0;
362                    double sumTime2 = 0;
363                    int sumIters = 0;
364                    int sumIters2 = 0;
365                    int sumConfl = 0;
366                    int sumAssign = 0;
367                    int sumAssign2 = 0;
368                    int sumPert = 0;
369                    int sumPert2 = 0;
370                    int sumVal = 0;
371                    int sumVal2 = 0;
372                    int sumTotalVal = 0;
373                    int sumTotalVal2 = 0;
374                    for (int test = 1; test <= nrTests; test++) {
375                        log.println("  " + test + ". test");
376                        log.flush();
377                        properties.setProperty("CSP.NrVariables", String.valueOf(nrVariables));
378                        properties.setProperty("CSP.Tightness", String.valueOf(tightness));
379                        properties.setProperty("CSP.Density", String.valueOf(density));
380
381                        long currentSeed = (seed * 1000000L)
382                                + (1000 * (long) ((sameProblemStep ? densityMin : density) * 1000.0))
383                                + ((long) ((sameProblemStep ? tightnessMin : tightness) * 1000.0));
384                        currentSeed = (currentSeed * nrTests) + (sameProblemTest ? 0 : test - 1);
385
386                        sLogger.debug("Seed: " + currentSeed);
387                        StructuredCSPModel csp = new StructuredCSPModel(properties, currentSeed);
388
389                        Solver<CSPVariable, CSPValue> s = new Solver<CSPVariable, CSPValue>(properties);
390                        s.setInitalSolution(csp);
391                        s.currentSolution().clearBest();
392                        s.start();
393
394                        try {
395                            s.getSolverThread().join();
396                        } catch (NullPointerException npe) {
397                        }
398
399                        if (s.lastSolution().getBestInfo() == null)
400                            sLogger.error("No solution found :-(");
401                        sLogger.debug("Last solution:" + s.lastSolution().getInfo());
402                        Solution<CSPVariable, CSPValue> best = s.lastSolution();
403                        sLogger.debug("Best solution:" + s.lastSolution().getBestInfo());
404                        best.restoreBest();
405                        int val = 0;
406                        for (CSPValue v: best.getAssignment().assignedValues())
407                            val += (int) v.toDouble();
408                        int totalVal = val + (best.getModel().unassignedVariables(best.getAssignment()).size() * nrValues);
409                        sLogger.debug("Last solution:" + best.getInfo());
410                        logStat.println(test
411                                + ";"
412                                + nrVariables
413                                + ";"
414                                + nrValues
415                                + ";"
416                                + sDoubleFormat.format(density)
417                                + ";"
418                                + sDoubleFormat.format(tightness)
419                                + ";"
420                                + sDoubleFormat.format(best.getTime())
421                                + ";"
422                                + best.getIteration()
423                                + ";"
424                                + sDoubleFormat.format((best.getIteration()) / best.getTime())
425                                + ";"
426                                + best.getModel().unassignedHardConstraints(best.getAssignment()).size()
427                                + ";"
428                                + best.getModel().assignedVariables(best.getAssignment()).size()
429                                + ";"
430                                + sDoubleFormat.format(100.0 * best.getModel().assignedVariables(best.getAssignment()).size()
431                                        / best.getModel().variables().size())
432                                + (mpp ? ";"
433                                        + (best.getModel().perturbVariables(best.getAssignment()).size() + best.getModel()
434                                                .unassignedVariables(best.getAssignment()).size())
435                                        + ";"
436                                        + sDoubleFormat.format(100.0
437                                                * (best.getModel().perturbVariables(best.getAssignment()).size() + best.getModel()
438                                                        .unassignedVariables(best.getAssignment()).size())
439                                                / best.getModel().variables().size()) : "") + ";" + val + ";"
440                                + totalVal);
441                        log.println("    seed:         " + currentSeed);
442                        log.println("    constraints:  " + best.getModel().constraints().size());
443                        for (Iterator<Constraint<CSPVariable, CSPValue>> i = best.getModel().constraints().iterator(); i
444                                .hasNext();) {
445                            CSPBinaryConstraint c = (CSPBinaryConstraint) i.next();
446                            log.println("      " + c.getName() + " (" + c.first().getName() + ","
447                                    + c.second().getName() + ")");
448                            for (CSPValue v0 : c.first().values(best.getAssignment())) {
449                                log.print("        ");
450                                for (CSPValue v1 : c.second().values(best.getAssignment()))
451                                    log.print(c.isConsistent(v0, v1) ? "1 " : "0 ");
452                            }
453                            log.println();
454                        }
455                        log.println("    time:         " + sDoubleFormat.format(best.getTime()) + " s");
456                        log.println("    iteration:    " + best.getIteration());
457                        log.println("    speed:        " + sDoubleFormat.format((best.getIteration()) / best.getTime())
458                                + " it/s");
459                        log.println("    assigned:     "
460                                + best.getModel().assignedVariables(best.getAssignment()).size()
461                                + " ("
462                                + sDoubleFormat.format(100.0 * best.getModel().assignedVariables(best.getAssignment()).size()
463                                        / best.getModel().variables().size()) + "%)");
464                        log.println("    total value:  " + val);
465                        if (mpp)
466                            log.println("    perturbations:"
467                                    + (best.getModel().perturbVariables(best.getAssignment()).size() + best.getModel()
468                                            .unassignedVariables(best.getAssignment()).size())
469                                    + " ("
470                                    + sDoubleFormat
471                                            .format(100.0
472                                                    * (best.getModel().perturbVariables(best.getAssignment()).size() + best.getModel()
473                                                            .unassignedVariables(best.getAssignment()).size())
474                                                    / best.getModel().variables().size()) + "%)");
475                        log.print("    solution:     ");
476                        for (CSPVariable v : ((CSPModel) best.getModel()).variables()) {
477                            if (v.getBestAssignment() == null)
478                                continue;
479                            log.print(v.getName() + "=" + v.getBestAssignment().getName());
480                            log.print(", ");
481                        }
482                        log.println();
483                        sumTime += best.getTime();
484                        sumTime2 += best.getTime() * best.getTime();
485                        sumIters += best.getIteration();
486                        sumIters2 += best.getIteration() * best.getIteration();
487                        sumConfl += best.getModel().unassignedHardConstraints(best.getAssignment()).size();
488                        sumAssign += best.getModel().assignedVariables(best.getAssignment()).size();
489                        sumAssign2 += best.getModel().assignedVariables(best.getAssignment()).size()
490                                * best.getModel().assignedVariables(best.getAssignment()).size();
491                        sumVal += val;
492                        sumVal2 += val * val;
493                        sumTotalVal += totalVal;
494                        sumTotalVal2 += totalVal * totalVal;
495                        if (mpp) {
496                            sumPert += (best.getModel().perturbVariables(best.getAssignment()).size() + best.getModel()
497                                    .unassignedVariables(best.getAssignment()).size());
498                            sumPert2 += (best.getModel().perturbVariables(best.getAssignment()).size() + best.getModel()
499                                    .unassignedVariables(best.getAssignment()).size())
500                                    * (best.getModel().perturbVariables(best.getAssignment()).size() + best.getModel()
501                                            .unassignedVariables(best.getAssignment()).size());
502                        }
503                        log.flush();
504                        logStat.flush();
505                    }
506                    logAvgStat.println(nrVariables
507                            + ";"
508                            + nrValues
509                            + ";"
510                            + sDoubleFormat.format(density)
511                            + ";"
512                            + sDoubleFormat.format(tightness)
513                            + ";"
514                            + sDoubleFormat.format(sumTime / nrTests)
515                            + ";"
516                            + sDoubleFormat.format(ToolBox.rms(nrTests, sumTime, sumTime2))
517                            + ";"
518                            + sDoubleFormat.format(((double) sumIters) / nrTests)
519                            + ";"
520                            + sDoubleFormat.format(ToolBox.rms(nrTests, sumIters, sumIters2))
521                            + ";"
522                            + sDoubleFormat.format((sumIters) / sumTime)
523                            + ";"
524                            + sDoubleFormat.format(((double) sumConfl) / nrTests)
525                            + ";"
526                            + sDoubleFormat.format(((double) sumAssign) / nrTests)
527                            + ";"
528                            + sDoubleFormat.format(ToolBox.rms(nrTests, sumAssign, sumAssign2))
529                            + ";"
530                            + sDoubleFormat.format(100.0 * (sumAssign) / (nrVariables * nrTests))
531                            + (mpp ? ";" + sDoubleFormat.format(((double) sumPert) / nrTests) + ";"
532                                    + sDoubleFormat.format(ToolBox.rms(nrTests, sumPert, sumPert2)) + ";"
533                                    + sDoubleFormat.format(100.0 * (sumPert) / (nrVariables * nrTests)) : "")
534                            + ";"
535                            + sDoubleFormat.format(((double) sumVal) / (nrTests * nrVariables))
536                            + ";"
537                            + sDoubleFormat.format(ToolBox.rms(nrTests, (double) sumVal / nrVariables, (double) sumVal2
538                                    / (nrVariables * nrVariables))) + ";"
539                            + sDoubleFormat.format(((double) sumTotalVal) / nrTests) + ";"
540                            + sDoubleFormat.format(ToolBox.rms(nrTests, sumTotalVal, sumTotalVal2)));
541                    logAvgStat.flush();
542                }
543            }
544        }
545        log.flush();
546        log.close();
547        logStat.flush();
548        logStat.close();
549        logAvgStat.flush();
550        logAvgStat.close();
551    }
552
553    private static void test(File inputCfg, String name, String include, String regexp, String outDir) throws Exception {
554        if (regexp != null) {
555            String incFile;
556
557            if (regexp.indexOf(';') > 0) {
558                incFile = regexp.substring(0, regexp.indexOf(';'));
559                regexp = regexp.substring(regexp.indexOf(';') + 1);
560            } else {
561                incFile = regexp;
562                regexp = null;
563            }
564            if (incFile.startsWith("[") && incFile.endsWith("]")) {
565                test(inputCfg, name, include, regexp, outDir);
566                incFile = incFile.substring(1, incFile.length() - 1);
567            }
568            if (incFile.indexOf('{') >= 0 && incFile.indexOf('}') >= 0) {
569                String prefix = incFile.substring(0, incFile.indexOf('{'));
570                StringTokenizer middle = new StringTokenizer(incFile.substring(incFile.indexOf('{') + 1, incFile
571                        .indexOf('}')), "|");
572                String sufix = incFile.substring(incFile.indexOf('}') + 1);
573
574                while (middle.hasMoreTokens()) {
575                    String m = middle.nextToken();
576
577                    test(inputCfg, (name == null ? "" : name + "_") + m, (include == null ? "" : include + ";")
578                            + prefix + m + sufix, regexp, outDir);
579                }
580            } else {
581                test(inputCfg, name, (include == null ? "" : include + ";") + incFile, regexp, outDir);
582            }
583        } else {
584            DataProperties properties = ToolBox.loadProperties(inputCfg);
585            StringTokenizer inc = new StringTokenizer(include, ";");
586
587            while (inc.hasMoreTokens()) {
588                String aFile = inc.nextToken();
589
590                System.out.println("  Loading included file '" + aFile + "' ... ");
591                FileInputStream is = null;
592
593                if ((new File(aFile)).exists()) {
594                    is = new FileInputStream(aFile);
595                }
596                if ((new File(inputCfg.getParent() + File.separator + aFile)).exists()) {
597                    is = new FileInputStream(inputCfg.getParent() + File.separator + aFile);
598                }
599                if (is == null) {
600                    System.err.println("Unable to find include file '" + aFile + "'.");
601                }
602                properties.load(is);
603                is.close();
604            }
605            String outDirThisTest = (outDir == null ? properties.getProperty("General.Output", ".") : outDir)
606                    + File.separator + name + File.separator + sDateFormat.format(new Date());
607            properties.setProperty("General.Output", outDirThisTest.toString());
608            System.out.println("Output folder: " + properties.getProperty("General.Output"));
609            (new File(outDirThisTest)).mkdirs();
610            ToolBox.configureLogging(outDirThisTest, null);
611            FileOutputStream fos = new FileOutputStream(outDirThisTest + File.separator + "rcsp.conf");
612
613            properties.store(fos, "Random CSP problem configuration file");
614            fos.flush();
615            fos.close();
616            test(properties);
617        }
618    }
619
620    public static void main(String[] args) {
621        try {
622            Progress.getInstance().addProgressListener(new ProgressWriter(System.out));
623            File inputCfg = new File(args[0]);
624            DataProperties properties = ToolBox.loadProperties(inputCfg);
625            if (properties.getProperty("INCLUDE_REGEXP") != null) {
626                test(inputCfg, null, null, properties.getProperty("INCLUDE_REGEXP"), (args.length > 1 ? args[1] : null));
627            } else {
628                String outDir = properties.getProperty("General.Output", ".") + File.separator
629                        + inputCfg.getName().substring(0, inputCfg.getName().lastIndexOf('.')) + File.separator
630                        + sDateFormat.format(new Date());
631                if (args.length > 1)
632                    outDir = args[1] + File.separator + (sDateFormat.format(new Date()));
633                properties.setProperty("General.Output", outDir.toString());
634                System.out.println("Output folder: " + properties.getProperty("General.Output"));
635                (new File(outDir)).mkdirs();
636                ToolBox.configureLogging(outDir, null);
637                test(properties);
638            }
639        } catch (Exception e) {
640            e.printStackTrace();
641        }
642    }
643}