Note: all the graphs are outdated and not in sync with the code file.

You need to use Ideal Graph Visualizer to open the file data.bgv to visualize the graphs.

For more detailed code, see lazy.scala:

class C {
  def x: String = {
    val current = _x
    if (current.isInstanceOf[String])
      current.asInstanceOf[String]
    else
      x$lzy
  }

  def x$lzy: String = {
    val current = _x
    if (current.isInstanceOf[String])
      current.asInstanceOf[String]
    else {
      val offset = C.x_offset
      if (current == null) {
        if (LazyRuntime.isUnitialized(this, offset)) {
          try LazyRuntime.initialize(this, offset, 3 + "value")
          catch {
            case ex: Throwable =>
              LazyRuntime.initialize(this, offset, null)
              throw ex
          }
        }
      }
      else
        LazyRuntime.awaitInitialized(this, offset, current)
      x$lzy
    }
  }
}

Here are the graphs for the method C.x.

0 after parsing

1 before phase lowering

2 after high tier

3 after mid tier

4 after low tier

object Test {
  def main(args: Array[String]): Unit = {
    val c = new C
    while(true) c.x
  }
}

0 after parsing

1 before phase lowering

2 after high tier

3 after mid tier

4 after low tier