clang format all sources

git-svn-id: svn+ssh://scm.gforge.inria.fr/svnroot/gudhi/branches/persistence_representation_integration@2477 636b058d-ea47-450e-bf9e-a15bfbe3eedb

Former-commit-id: 326d664483d6700f82be824f79a0bf5c082b4945

1 files changed, 44 insertions, 55 deletions

diff --git a/src/Persistence_representations/example/persistence_heat_maps.cpp b/src/Persistence_representations/example/persistence_heat_maps.cpp
index c75e2731..44227823 100644
--- a/src/Persistence_representations/example/persistence_heat_maps.cpp
+++ b/src/Persistence_representations/example/persistence_heat_maps.cpp
@@ -20,74 +20,63 @@
  *    along with this program.  If not, see <http://www.gnu.org/licenses/>.
  */
 
-
-
 #include <gudhi/reader_utils.h>
 #include <gudhi/Persistence_heat_maps.h>
 
 #include <iostream>
 #include <vector>
 
-
-
 using namespace Gudhi;
 using namespace Gudhi::Persistence_representations;
 
-
 double epsilon = 0.0000005;
 
+int main(int argc, char** argv) {
+  // create two simple vectors with birth--death pairs:
 
-	
-int main( int argc , char** argv )
-{	
-	//create two simple vectors with birth--death pairs:
-	
-	std::vector< std::pair< double , double > > persistence1;
-	std::vector< std::pair< double , double > > persistence2;
-	
-	persistence1.push_back( std::make_pair(1,2) );
-	persistence1.push_back( std::make_pair(6,8) );
-	persistence1.push_back( std::make_pair(0,4) );
-	persistence1.push_back( std::make_pair(3,8) );
-	
-	persistence2.push_back( std::make_pair(2,9) );
-	persistence2.push_back( std::make_pair(1,6) );
-	persistence2.push_back( std::make_pair(3,5) );
-	persistence2.push_back( std::make_pair(6,10) );
-	
-	//over here we define a function we sill put on a top on every birth--death pair in the persistence interval. It can be anything. Over here we will use standard Gaussian
-	std::vector< std::vector<double> > filter = create_Gaussian_filter(5,1);
-			
-	//creating two heat maps. 
-	Persistence_heat_maps<constant_scaling_function> hm1( persistence1 , filter , false , 20 , 0 , 11 );		
-	Persistence_heat_maps<constant_scaling_function> hm2( persistence2 , filter , false , 20 , 0 , 11 );
-	
-	std::vector<Persistence_heat_maps<constant_scaling_function>*> vector_of_maps;
-	vector_of_maps.push_back( &hm1 );
-	vector_of_maps.push_back( &hm2 );
-	
-	//compute median/mean of a vector of heat maps:	
-	Persistence_heat_maps<constant_scaling_function> mean;
-	mean.compute_mean( vector_of_maps );	
-	Persistence_heat_maps<constant_scaling_function> median;
-	median.compute_median( vector_of_maps );
-	
-	//to compute L^1 distance between hm1 and hm2:
-	std::cout << "The L^1 distance is : " << hm1.distance( hm2 , 1 ) << std::endl;
-	
-	//to average of hm1 and hm2:
-	std::vector< Persistence_heat_maps<constant_scaling_function>* > to_average;
-	to_average.push_back( &hm1 );
-	to_average.push_back( &hm2 );
-	Persistence_heat_maps<constant_scaling_function> av;	
-	av.compute_average( to_average );	
-	
-	//to compute scalar product of hm1 and hm2:
-	std::cout << "Scalar product is : " << hm1.compute_scalar_product( hm2 ) << std::endl;
-	
-	return 0;
-}
+  std::vector<std::pair<double, double> > persistence1;
+  std::vector<std::pair<double, double> > persistence2;
+
+  persistence1.push_back(std::make_pair(1, 2));
+  persistence1.push_back(std::make_pair(6, 8));
+  persistence1.push_back(std::make_pair(0, 4));
+  persistence1.push_back(std::make_pair(3, 8));
 
+  persistence2.push_back(std::make_pair(2, 9));
+  persistence2.push_back(std::make_pair(1, 6));
+  persistence2.push_back(std::make_pair(3, 5));
+  persistence2.push_back(std::make_pair(6, 10));
 
+  // over here we define a function we sill put on a top on every birth--death pair in the persistence interval. It can
+  // be anything. Over here we will use standard Gaussian
+  std::vector<std::vector<double> > filter = create_Gaussian_filter(5, 1);
 
+  // creating two heat maps.
+  Persistence_heat_maps<constant_scaling_function> hm1(persistence1, filter, false, 20, 0, 11);
+  Persistence_heat_maps<constant_scaling_function> hm2(persistence2, filter, false, 20, 0, 11);
 
+  std::vector<Persistence_heat_maps<constant_scaling_function>*> vector_of_maps;
+  vector_of_maps.push_back(&hm1);
+  vector_of_maps.push_back(&hm2);
+
+  // compute median/mean of a vector of heat maps:
+  Persistence_heat_maps<constant_scaling_function> mean;
+  mean.compute_mean(vector_of_maps);
+  Persistence_heat_maps<constant_scaling_function> median;
+  median.compute_median(vector_of_maps);
+
+  // to compute L^1 distance between hm1 and hm2:
+  std::cout << "The L^1 distance is : " << hm1.distance(hm2, 1) << std::endl;
+
+  // to average of hm1 and hm2:
+  std::vector<Persistence_heat_maps<constant_scaling_function>*> to_average;
+  to_average.push_back(&hm1);
+  to_average.push_back(&hm2);
+  Persistence_heat_maps<constant_scaling_function> av;
+  av.compute_average(to_average);
+
+  // to compute scalar product of hm1 and hm2:
+  std::cout << "Scalar product is : " << hm1.compute_scalar_product(hm2) << std::endl;
+
+  return 0;
+}