test added

git-svn-id: svn://scm.gforge.inria.fr/svnroot/paradiseo@1809 331e1502-861f-0410-8da2-ba01fb791d7f

trunk/paradiseo-mo/src/sampling/moAutocorrelationSampling.h

@@ -67,11 +67,10 @@ public:
    */
   moAutocorrelationSampling(eoInit<EOT> & _init, 
 			    moNeighborhood<Neighbor> & _neighborhood, 
-			    eoEvalFunc<EOT>& _fullEval, moEval<Neighbor>& _eval, 
+			    eoEvalFunc<EOT>& _fullEval,
+			    moEval<Neighbor>& _eval,
 			    unsigned int _nbStep) : 
-    moSampling<Neighbor>(_init, * new moRandomWalk<Neighbor>(_neighborhood, _fullEval, _eval, _nbStep), fitnessStat)
-  {
-  }
+    moSampling<Neighbor>(_init, * new moRandomWalk<Neighbor>(_neighborhood, _fullEval, _eval, _nbStep), fitnessStat){}
 
   /** 
    * default destructor

trunk/paradiseo-mo/src/sampling/moDensityOfStatesSampling.h

@@ -64,9 +64,7 @@ public:
   moDensityOfStatesSampling(eoInit<EOT> & _init, 
 			    eoEvalFunc<EOT>& _fullEval, 
 			    unsigned int _nbSol) : 
-    moSampling<Neighbor>(_init, * new moRandomSearch<Neighbor>(_init, _fullEval, _nbSol), fitnessStat)
-  {
-  }
+    moSampling<Neighbor>(_init, * new moRandomSearch<Neighbor>(_init, _fullEval, _nbSol), fitnessStat){}
 
   /** 
    * default destructor

trunk/paradiseo-mo/src/sampling/moFDCsampling.h

@@ -83,7 +83,7 @@ public:
    */
   ~moFDCsampling() {
     // delete the pointer on the local search which has been constructed in the constructor
-    delete &localSearch;
+    delete localSearch;
   }
 
 protected:

trunk/paradiseo-mo/src/sampling/moFitnessCloudSampling.h

@@ -77,9 +77,7 @@ public:
     fullEval(_fullEval), 
     eval(_eval),
     nbSol(_nbSol)
-  {
-    //    std::cout << "moFitnessCloudSampling: Warming to nothing will be sample." << std::endl;
-  }
+  {}
 
   /** 
    * default destructor

trunk/paradiseo-mo/src/sampling/moHillClimberSampling.h

@@ -70,7 +70,8 @@ public:
    */
   moHillClimberSampling(eoInit<EOT> & _init, 
 			moNeighborhood<Neighbor> & _neighborhood, 
-			eoEvalFunc<EOT>& _fullEval, moEval<Neighbor>& _eval, 
+			eoEvalFunc<EOT>& _fullEval,
+			moEval<Neighbor>& _eval,
 			unsigned int _nbAdaptWalk) : 
     moSampling<Neighbor>(initHC, * new moRandomSearch<Neighbor>(initHC, _fullEval, _nbAdaptWalk), copyStat), 
     copyStat(lengthStat),

trunk/paradiseo-mo/src/sampling/moSampling.h

@@ -36,6 +36,8 @@
 #define moSampling_h
 
 #include <vector>
+#include <fstream>
+#include <iostream>
 #include <eoFunctor.h>
 #include <utils/eoMonitor.h>
 #include <continuator/moStat.h>
@@ -44,6 +46,7 @@
 #include <algo/moLocalSearch.h>
 #include <eoInit.h>
 
+
 /**
  * To sample the search space:
  * A local search is used to sample the search space
@@ -97,7 +100,7 @@ public:
       monitorVec.push_back(monitor);
       checkpoint->add(*monitor);
     }
-  }    
+  }
 
   /**
    * To sample the search and get the statistics
@@ -131,11 +134,11 @@ public:
    */
   void fileExport(std::string _filename, std::string _delim = " ") {
     // create file
-    ofstream os(_filename.c_str()); 
+    std::ofstream os(_filename.c_str());
 
     if (!os) {
-      string str = "moSampling: Could not open " + _filename;
-      throw runtime_error(str);
+      std::string str = "moSampling: Could not open " + _filename;
+      throw std::runtime_error(str);
     }
     
     // all vector have the same size
@@ -160,8 +163,8 @@ public:
    */
   void fileExport(unsigned int _col, std::string _filename) {
     if (_col >= monitorVec.size()) {
-      string str = "moSampling: Could not export into file the vector. The index does not exists (too large)";
-      throw runtime_error(str);
+      std::string str = "moSampling: Could not export into file the vector. The index does not exists (too large)";
+      throw std::runtime_error(str);
     }
     
     monitorVec[_col]->fileExport(_filename);

trunk/paradiseo-mo/src/sampling/moStatistics.h

@@ -36,6 +36,7 @@
 #define moStatistics_h
 
 #include <vector>
+#include <cmath>
 #include <utils/eoDistance.h>
 
 /**
@@ -61,7 +62,7 @@ public:
    * @param avg average to compute
    * @param std standard deviation to compute
    */
-  void basic(const vector<double> & data, 
+  void basic(const std::vector<double> & data,
 	double & min, double & max, double & avg, double & std) {
     
     if (data.size() == 0) {
@@ -104,8 +105,8 @@ public:
    * @param matrix matrix of distances between solutions
    */
   template <class EOT>
-  void distances(const vector<EOT> & data, eoDistance<EOT> & distance,
-		 vector< vector<double> > & matrix) {
+  void distances(const std::vector<EOT> & data, eoDistance<EOT> & distance,
+		 std::vector< std::vector<double> > & matrix) {
     if (data.size() == 0) {
       matrix.resize(0);
     } else {
@@ -134,8 +135,8 @@ public:
    * @param rho autocorrelation coefficients
    * @param phi partial autocorrelation coefficients
    */
-  void autocorrelation(const vector<double> & data, unsigned int nbS,
-		       vector<double> & rho, vector<double> & phi) {
+  void autocorrelation(const std::vector<double> & data, unsigned int nbS,
+		       std::vector<double> & rho, std::vector<double> & phi) {
     if (data.size() == 0) {
       rho.resize(0);
       phi.resize(0);