def toposort_rules(rules):
 graph = {}
 class_dict = {}
 for rule in rules:
  if (rule.__class__ in class_dict):
   raise ValueError(('Duplicate class rules are not allowed: %s' % rule.__class__))
  class_dict[rule.__class__] = rule
 for rule in rules:
  if ((not is_iterable(rule.dependency)) and rule.dependency):
   rule_dependencies = [rule.dependency]
  else:
   rule_dependencies = rule.dependency
  dependencies = set()
  if rule_dependencies:
   for dependency in rule_dependencies:
    if inspect.isclass(dependency):
     dependency = class_dict.get(dependency)
    if dependency:
     dependencies.add(dependency)
  graph[rule] = dependencies
 return toposort(graph)

def toposort_rules ( rules ) : graph = { } class_dict = { } for rule in rules : if ( rule . __class__ in class_dict ) : raise ValueError ( ( 'Duplicate class rules are not allowed: %s' % rule . __class__ ) ) class_dict [ rule . __class__ ] = rule for rule in rules : if ( ( not is_iterable ( rule . dependency ) ) and rule . dependency ) : rule_dependencies = [ rule . dependency ] else : rule_dependencies = rule . dependency dependencies = set ( ) if rule_dependencies : for dependency in rule_dependencies : if inspect . isclass ( dependency ) : dependency = class_dict . get ( dependency ) if dependency : dependencies . add ( dependency ) graph [ rule ] = dependencies return toposort ( graph )
sort given rules using toposort with dependency parameter .