我希望有一个复杂的Flow，我可以在它里面根据流入图中的数据在2个不同的Shapes之间切换。当我们返回一个ClosedShape时，图是静态的，但当我们返回FlowShape时，我想知道是否有可能在它里面创建某种动态流。我在看this question，似乎他们使用了Partition，我不知道如何应用，也不知道它是否真的解决了我的问题。
我从这个例子开始，但我被代码中的注解卡住了。

import akka.actor.ActorSystem
import akka.stream.FlowShape
import akka.stream.scaladsl.{Flow, GraphDSL, Sink, Source}

import scala.concurrent.duration._

object StreamOpenGraphsWithMultipleFlows extends App {

  run()

  def run() = {
    implicit val system = ActorSystem("StreamOpenGraphsWithMultipleFlows")

    val fastSource = Source(1 to 1000).throttle(50, 1 second)
    val slowSource = Source(1 to 1000).throttle(5, 1 second)
    val INC = 5
    val MULTI = 10
    val DIVIDE = 2

    val incrementer = Flow[Int].map { x =>
      val result = x + INC
      print(s" | incrementing $x + $INC -> $result")
      result
    }
    val multiplier = Flow[Int].map { x =>
      val result = x * MULTI
      print(s" | multiplying $x * $MULTI -> $result")
      result
    }
    val divider = Flow[Int].map { x =>
      val result = x / DIVIDE
      print(s" | dividing $x / $DIVIDE -> $result")
      result
    }

    def isMultipleOf(value: Int, multiple: Int): Boolean = (value % multiple) == 0

    // Step 1 - setting up the fundamental for a stream graph
    val complexFlowIncrementer = Flow.fromGraph(
      GraphDSL.create() { implicit builder =>
        import GraphDSL.Implicits._
        // Step 2 - add necessary components of this graph
        val incrementerShape = builder.add(incrementer)
        val multiplierShape = builder.add(multiplier)

        // println(s"builder.materializedValue: ${builder.materializedValue}")

        // Step 3 - tying up the components
        incrementerShape ~> multiplierShape
        // BUT I WOULD LIKE TO DO SOMETHING AS BELOW
        // if (isMultipleOf(value???, 10)) incrementerShape ~> divider
        // else incrementerShape ~> multiplierShape

        // Step 4 - return the shape
        FlowShape(incrementerShape.in, multiplierShape.out)
      }
    )
    // run the graph and materialize it
    val graph = slowSource
      .via(complexFlowIncrementer)
      .to(Sink.foreach(x => println(s" | result: $x")))
    graph.run()
  }
}