clang format files

git-svn-id: svn+ssh://scm.gforge.inria.fr/svnroot/gudhi/branches/rips_complex_from_correlation_matrix@3216 636b058d-ea47-450e-bf9e-a15bfbe3eedb

Former-commit-id: 09a40b92cc8e0cc1a08f962de14daed975338d1c

1 files changed, 5 insertions, 6 deletions

diff --git a/src/Rips_complex/example/example_one_skeleton_rips_from_correlation_matrix.cpp b/src/Rips_complex/example/example_one_skeleton_rips_from_correlation_matrix.cpp
index d1ccbf31..0da1dc20 100644
--- a/src/Rips_complex/example/example_one_skeleton_rips_from_correlation_matrix.cpp
+++ b/src/Rips_complex/example/example_one_skeleton_rips_from_correlation_matrix.cpp
@@ -42,17 +42,16 @@ int main() {
   }
 
   //-----------------------------------------------------------------------------
-  // Now the correlation matrix is a distance matrix and can be processed further. 
+  // Now the correlation matrix is a distance matrix and can be processed further.
   //-----------------------------------------------------------------------------
   Distance_matrix distances = correlations;
 
   //------------------------------------------------------------------------------
-  //Note that this treshold mean that the points in the distance 1, i.e. corelation
-  //0 will be connected. 
+  // Note that this treshold mean that the points in the distance 1, i.e. corelation
+  // 0 will be connected.
   //------------------------------------------------------------------------------
   double threshold = 1.0;
-  
-  
+
   Rips_complex rips_complex_from_points(distances, threshold);
 
   Simplex_tree stree;
@@ -63,7 +62,7 @@ int main() {
   // above, which is 1 - initial correlation matrix. Only this way, we obtain
   // a complex with filtration. If a correlation matrix is used instead, we would
   // have a reverse filtration (i.e. filtration of boundary of each simplex S
-  // is greater or equal to the filtration of S). 
+  // is greater or equal to the filtration of S).
   // ----------------------------------------------------------------------------
   std::cout << "Rips complex is of dimension " << stree.dimension() << " - " << stree.num_simplices() << " simplices - "
             << stree.num_vertices() << " vertices." << std::endl;