old_contents: # Import lomap
  import lomap
  import sys
  import networkx as nx
      
  # Create the molecule database by using .mol2 files
  # The DBMolecule class must be created with a valid
  # directory name
          
  db_mol = lomap.DBMolecules('test/basic/', output=True, display=True)
      
  # Generate the strict and loose syimmetric similarity 
  # score matrices
            
  strict, loose = db_mol.build_matrices()
      
  # Convert the matrices in standard numpy matrices
  
  strict_numpy = strict.to_numpy_2D_array()
  loose_numpy = loose.to_numpy_2D_array()
  
      
  # Networkx graph generation based on the similarity 
  # score matrices
            
  nx_graph = db_mol.build_graph() 
  #print(nx_graph.edges(data=True))
  
                  
  # Calculate the Maximum Common Subgraph (MCS) between 
  # the first two molecules in the molecule database
      
  #MC = lomap.MCS(db_mol[0].getMolecule(), db_mol[1].getMolecule())
  
  # Output the MCS in a .png file
  
  #MC.draw_mcs()
  
new_contents: # Import lomap
  import lomap
  import sys
  import networkx as nx
      
  # Create the molecule database by using .mol2 files
  # The DBMolecule class must be created with a valid
  # directory name
          
  db_mol = lomap.DBMolecules('test/basic/', output=True)
  
  # db_mol = lomap.DBMolecules('test/basic/', output=True, display=True)
  
      
  # Generate the strict and loose symmetric similarity 
  # score matrices
            
  strict, loose = db_mol.build_matrices()
      
  # Convert the matrices in standard numpy matrices
  
  strict_numpy = strict.to_numpy_2D_array()
  loose_numpy = loose.to_numpy_2D_array()
  
      
  # Networkx graph generation based on the similarity 
  # score matrices
            
  nx_graph = db_mol.build_graph() 
  #print(nx_graph.edges(data=True))
  
                  
  # Calculate the Maximum Common Subgraph (MCS) between 
  # the first two molecules in the molecule database
      
  #MC = lomap.MCS(db_mol[0].getMolecule(), db_mol[1].getMolecule())
  
  # Output the MCS in a .png file
  
  #MC.draw_mcs()
  
subject: fix example