def threshold_graph(creation_sequence, create_using=None):
 first = creation_sequence[0]
 if isinstance(first, str):
  ci = list(enumerate(creation_sequence))
 elif isinstance(first, tuple):
  ci = creation_sequence[:]
 elif isinstance(first, int):
  cs = uncompact(creation_sequence)
  ci = list(enumerate(cs))
 else:
  print 'not a valid creation sequence type'
  return None
 if (create_using is None):
  G = networkx.Graph()
 elif create_using.is_directed():
  raise networkx.NetworkXError('Directed Graph not supported')
 else:
  G = create_using
  G.clear()
 G.name = 'Threshold Graph'
 while ci:
  (v, node_type) = ci.pop(0)
  if (node_type == 'd'):
   for u in list(G):
    G.add_edge(v, u)
  G.add_node(v)
 return G

def threshold_graph ( creation_sequence , create_using = None ) : first = creation_sequence [ 0 ] if isinstance ( first , str ) : ci = list ( enumerate ( creation_sequence ) ) elif isinstance ( first , tuple ) : ci = creation_sequence [ : ] elif isinstance ( first , int ) : cs = uncompact ( creation_sequence ) ci = list ( enumerate ( cs ) ) else : print 'not a valid creation sequence type' return None if ( create_using is None ) : G = networkx . Graph ( ) elif create_using . is_directed ( ) : raise networkx . NetworkXError ( 'Directed Graph not supported' ) else : G = create_using G . clear ( ) G . name = 'Threshold Graph' while ci : ( v , node_type ) = ci . pop ( 0 ) if ( node_type == 'd' ) : for u in list ( G ) : G . add_edge ( v , u ) G . add_node ( v ) return G
create a threshold graph from the creation sequence or compact creation_sequence .