Java Config.setProperty方法代码示例

import gov.nasa.jpf.Config; //导入方法依赖的package包/类
/** 
 * generates a jpf config corresponding to this configuration
 * 
 * @param conf
 * @return 
 */
public Config generateJPFConfig(Config conf) {
  Config newConf = new Config("");
  if(conf != null) {
    newConf.putAll(conf);
    newConf.setClassLoader(conf.getClassLoader());
  }
  else {
    newConf.initClassLoader(JPF.class.getClassLoader());
  }
  
  StringBuilder sb = new StringBuilder();
  boolean first = true;
  for(ConcolicMethodConfig mc : concolicMethods.values()) {
    generatePerturbConfig(mc, newConf);
    if(first)
      first = false;
    else
      sb.append(',');
    sb.append(mc.getId());
  }
  
  newConf.setProperty("perturb.params", sb.toString());
  
  return newConf;
}
 

import gov.nasa.jpf.Config; //导入方法依赖的package包/类
private static MethodSummary summarize(ConcolicMethodConfig mw, Config c) {
  c.setTarget("__jpf_jdart.summarizer.SummaryGenerator$Exec_" + mw.getId());
  c.setProperty("concolic.method", mw.getId());
  
  JDart jdart = new JDart(c, false);
  ConcolicExplorer cex = jdart.run();
  
  CompletedAnalysis ca = cex.getFirstCompletedAnalysis(mw.getId());
  ConstraintsTree ct = ca.getConstraintsTree();      
  MethodSummary summary = new MethodSummary(mw.getId(), ct, ca.getInitialValuation());

  c.remove("target");
  c.remove("concolic.method");
          
  return summary;
}
 

import gov.nasa.jpf.Config; //导入方法依赖的package包/类
private DataCollection performAnalysis(Config jpfConf) {
  boolean noSolver = jpfConf.getBoolean(NO_SOLVER_HEURISTIC_CONF, false);
  if (noSolver) {
    jpfConf.setProperty("symbolic.dp", "no_solver");
  }
  int maxInput = jpfConf.getInt(MAX_INPUT_CONF);
  jpfConf.setProperty("report.console.class", HeuristicResultsPublisher.class.getName());

  DataCollection dataCollection = new DataCollection();

  for (int inputSize = this.startAt; inputSize <= maxInput; inputSize += this.incr) {//TODO: should maxInput be included?
    logger.info("Exploring with heuristic input size " + inputSize + "...");
    jpfConf.setProperty("target.args", "" + inputSize);
    JPF jpf = new JPF(jpfConf);
    HeuristicListener heuristic = new HeuristicListener(jpfConf, jpf);
    jpf.addListener(heuristic); //weird instantiation...

    //explore guided by policy
    long start = System.currentTimeMillis();
    runJPF(jpf);
    long end = System.currentTimeMillis();

    logger.info("Heuristic exploration at input size " + inputSize + " done. Took " + ((end - start) / 1000) + "s");

    WorstCasePath wcPath = heuristic.getWcPath();

    if (wcPath == null) {
      logger.severe("No worst case path found for input size " + inputSize);
    } else {
      State wcState = wcPath.getWCState();
      dataCollection.addDatapoint(inputSize, wcState.getWC());
    }
  }
  return dataCollection;
}
 

import gov.nasa.jpf.Config; //导入方法依赖的package包/类
private static void generatePerturbConfig(ConcolicMethodConfig mc, Config conf) {
  String perturbPrefix = "perturb." + mc.getId() + ".";
  String perturbMethod = mc.toJPFPerturbString();
  
  conf.setProperty(perturbPrefix + "method", perturbMethod);
  conf.setProperty(perturbPrefix + "class", ConcolicPerturbator.class.getName());
  
  String loc = mc.getLocation();
  if(loc != null)
    conf.setProperty(perturbPrefix + "location", loc);
}
 

import gov.nasa.jpf.Config; //导入方法依赖的package包/类
public static Config createCopy(Config in) {
  Config conf = new Config(new String[] {});
  for (String key : in.getKeysStartingWith("")) {
    conf.setProperty(key, in.getProperty(key));
  }
  return conf;
}
 

import gov.nasa.jpf.Config; //导入方法依赖的package包/类
@Before
public void setUp() {
  String[] args = {};
  Config conf = new Config(args);
  conf.setProperty("symbolic.dp", "NativeZ3");
  conf.setProperty("symbolic.dp.z3.bitvectors", "false");
  conf.setProperty("log.finest", "psyco");
  ConstraintSolverFactory factory = new ConstraintSolverFactory(conf);
  solver = factory.createSolver();
  PsycoConfig pconf = new PsycoConfig(conf, solver, null);
}
 

import gov.nasa.jpf.Config; //导入方法依赖的package包/类
private void initGroupers(Config config) {
  HashMap<String, CGAccessor> accessors;
  CGGrouper grouper;
  int i;

  if (config.getStringArray("ssa.sort_order") == null) {
    config.setProperty("ssa.sort_order", "type");
    config.setProperty("ssa.sort_order2", "package,class,method,instruction,type");
  }

  accessors = new HashMap<String, CGAccessor>(5);
  accessors.put("package", new CGPackageAccessor());
  accessors.put("class", new CGClassAccessor());
  accessors.put("method", new CGMethodAccessor());
  accessors.put("instruction", new CGInstructionAccessor());
  accessors.put("type", new CGTypeAccessor());

  m_groupers.add(initGrouper(config, "ssa.sort_order", accessors));

  for (i = 2; true; i++) {
    grouper = initGrouper(config, "ssa.sort_order" + i, accessors);
    if (grouper == null) {
      break;
    }

    m_groupers.add(grouper);
  }
}