parameters: (self, src_or_list, dst=None, index=None)
return_statement: return False
docstring: Delete an edge from the graph.
          
          Given an edge's (source, destination) node names all
          matching edges(s) will be deleted if 'index' is not
          specified or set to None.
          If there are several matching edges and 'index' is
          given, only the edge in that position will be deleted.
          
          'index' should be an integer specifying the position 
          of the edge to delete. If index is larger than the
          number of matching edges, no action is taken.
          
          If edges are deleted it returns True. If no action
          is taken it returns False.
docstring_summary: Delete an edge from the graph.
          
          Given an edge's (source, destination) node names all
          matching edges(s) will be deleted if 'index' is not
          specified or set to None.
          If there are several matching edges and 'index' is
          given, only the edge in that position will be deleted.
          
          'index' should be an integer specifying the position 
          of the edge to delete. If index is larger than the
          number of matching edges, no action is taken.
          
          If edges are deleted it returns True. If no action
          is taken it returns False.
docstring_tokens: Delete an edge from the graph . Given an edge s ( source destination ) node names all matching edges ( s ) will be deleted if index is not specified or set to None . If there are several matching edges and index is given only the edge in that position will be deleted . index should be an integer specifying the position of the edge to delete . If index is larger than the number of matching edges no action is taken . If edges are deleted it returns True . If no action is taken it returns False .
function: def del_edge(self, src_or_list, dst=None, index=None):
          """Delete an edge from the graph.
          
          Given an edge's (source, destination) node names all
          matching edges(s) will be deleted if 'index' is not
          specified or set to None.
          If there are several matching edges and 'index' is
          given, only the edge in that position will be deleted.
          
          'index' should be an integer specifying the position 
          of the edge to delete. If index is larger than the
          number of matching edges, no action is taken.
          
          If edges are deleted it returns True. If no action
          is taken it returns False.
          """
  
          if isinstance( src_or_list, (list, tuple)):
              if dst is not None and isinstance(dst, (int, long)):
                  index = dst
              src, dst = src_or_list
          else:
              src, dst = src_or_list, dst
      
          if isinstance(src, Node):
              src = src.get_name()
  
          if isinstance(dst, Node):
              dst = dst.get_name()
          
          if self.obj_dict['edges'].has_key( (src, dst) ):
          
              if index is not None and index < len(self.obj_dict['edges'][(src, dst)]):
                  del self.obj_dict['edges'][(src, dst)][index]
                  return True
              else:
                  del self.obj_dict['edges'][(src, dst)]
                  return True
          
          return False
function_tokens: def del_edge ( self , src_or_list , dst = None , index = None ) : if isinstance ( src_or_list , ( list , tuple ) ) : if dst is not None and isinstance ( dst , ( int , long ) ) : index = dst src , dst = src_or_list else : src , dst = src_or_list , dst if isinstance ( src , Node ) : src = src . get_name ( ) if isinstance ( dst , Node ) : dst = dst . get_name ( ) if self . obj_dict [ 'edges' ] . has_key ( ( src , dst ) ) : if index is not None and index < len ( self . obj_dict [ 'edges' ] [ ( src , dst ) ] ) : del self . obj_dict [ 'edges' ] [ ( src , dst ) ] [ index ] return True else : del self . obj_dict [ 'edges' ] [ ( src , dst ) ] return True return False