indent

edo/src/edoEstimatorNormalMono.h

@@ -42,57 +42,57 @@ public:
     class Variance
     {
     public:
-	Variance() : _sumvar(0){}
+        Variance() : _sumvar(0){}
 
-	void update(AtomType v)
-	{
-	    _n++;
+        void update(AtomType v)
+        {
+            _n++;
 
-	    AtomType d = v - _mean;
+            AtomType d = v - _mean;
 
-	    _mean += 1 / _n * d;
-	    _sumvar += (_n - 1) / _n * d * d;
-	}
+            _mean += 1 / _n * d;
+            _sumvar += (_n - 1) / _n * d * d;
+        }
 
-	AtomType get_mean() const {return _mean;}
-	AtomType get_var() const {return _sumvar / (_n - 1);}
-	AtomType get_std() const {return sqrt( get_var() );}
+        AtomType get_mean() const {return _mean;}
+        AtomType get_var() const {return _sumvar / (_n - 1);}
+        AtomType get_std() const {return sqrt( get_var() );}
 
     private:
-	AtomType _n;
-	AtomType _mean;
-	AtomType _sumvar;
+        AtomType _n;
+        AtomType _mean;
+        AtomType _sumvar;
     };
 
 public:
     edoNormalMono< EOT > operator()(eoPop<EOT>& pop)
     {
-	unsigned int popsize = pop.size();
-	assert(popsize > 0);
+        unsigned int popsize = pop.size();
+        assert(popsize > 0);
 
-	unsigned int dimsize = pop[0].size();
-	assert(dimsize > 0);
+        unsigned int dimsize = pop[0].size();
+        assert(dimsize > 0);
 
-	std::vector< Variance > var( dimsize );
+        std::vector< Variance > var( dimsize );
 
-	for (unsigned int i = 0; i < popsize; ++i)
-	    {
-		for (unsigned int d = 0; d < dimsize; ++d)
-		    {
-			var[d].update( pop[i][d] );
-		    }
-	    }
+        for (unsigned int i = 0; i < popsize; ++i)
+            {
+            for (unsigned int d = 0; d < dimsize; ++d)
+                {
+                var[d].update( pop[i][d] );
+                }
+            }
 
-	EOT mean( dimsize );
-	EOT variance( dimsize );
+        EOT mean( dimsize );
+        EOT variance( dimsize );
 
-	for (unsigned int d = 0; d < dimsize; ++d)
-	    {
-		mean[d] = var[d].get_mean();
-		variance[d] = var[d].get_var();
-	    }
+        for (unsigned int d = 0; d < dimsize; ++d)
+            {
+            mean[d] = var[d].get_mean();
+            variance[d] = var[d].get_var();
+            }
 
-	return edoNormalMono< EOT >( mean, variance );
+        return edoNormalMono< EOT >( mean, variance );
     }
 };