def _AnalyzeSolutionSpace(initial_state):
 count = 0
 seen = set()
 p_queue = []
 node = _StateNode(initial_state, False, None)
 heapq.heappush(p_queue, _QueueItem(_OrderedPenalty(0, count), node))
 count += 1
 prev_penalty = 0
 while p_queue:
  item = p_queue[0]
  penalty = item.ordered_penalty.penalty
  node = item.state_node
  if (not node.state.next_token):
   break
  heapq.heappop(p_queue)
  if (count > 10000):
   node.state.ignore_stack_for_comparison = True
  if (node.state in seen):
   continue
  prev_penalty = penalty
  seen.add(node.state)
  count = _AddNextStateToQueue(penalty, node, False, count, p_queue)
  count = _AddNextStateToQueue(penalty, node, True, count, p_queue)
 if (not p_queue):
  return False
 _ReconstructPath(initial_state, heapq.heappop(p_queue).state_node)
 return True

def _AnalyzeSolutionSpace ( initial_state ) : count = 0 seen = set ( ) p_queue = [ ] node = _StateNode ( initial_state , False , None ) heapq . heappush ( p_queue , _QueueItem ( _OrderedPenalty ( 0 , count ) , node ) ) count += 1 prev_penalty = 0 while p_queue : item = p_queue [ 0 ] penalty = item . ordered_penalty . penalty node = item . state_node if ( not node . state . next_token ) : break heapq . heappop ( p_queue ) if ( count > 10000 ) : node . state . ignore_stack_for_comparison = True if ( node . state in seen ) : continue prev_penalty = penalty seen . add ( node . state ) count = _AddNextStateToQueue ( penalty , node , False , count , p_queue ) count = _AddNextStateToQueue ( penalty , node , True , count , p_queue ) if ( not p_queue ) : return False _ReconstructPath ( initial_state , heapq . heappop ( p_queue ) . state_node ) return True
analyze the entire solution space starting from initial_state .