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The imported projects contain a meta model for Turing machines. (You may notice that this tutorial thus also slips in a perfect opportunity to brush up on your knowledge of Turing machines. Consider it a public service and thank us later.) It does not model the tape or the head, only its states and transitions. It is these Turing machines that we will develop a visualization for over the course of this tutorial.

Tip
titleFixing Problems

Should your projects be marked with a big red exclamation mark, there might be build path problems. To fix them, complete these steps with all such projects:

  1. Right-click a project and select Properties.
  2. In the dialog that opens up, navigate to the Java Compiler category.
  3. Chances are that project-specific settings are enabled here. Disable them and click OK.

If that wasn't the source of the problem, ask your advisor.

Creating a Visualization

Now that we have the model of what we want to visualize, it's time to program the actual visualization. But first, let's take a minute to think about what we need to do here. Take a look at the following diagram:

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  1. Add a new method to your synthesis that transforms a State into a corresponding KNode:

    Code Block
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    private def KNode transform(State state) {
        val stateNode = state.createNode().associateWith(state);
    
        return stateNode;
    } 
  2. While this method does indeed create a node for the state passed to it, KLighD wouldn't know how to render it yet. Let's draw the node as a rounded rectangle by adding the following line before the return statement:

    Code Block
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    stateNode.addRoundedRectangle(4, 4, 2);
  3. The only thing missing now is a label with the state's name:

    Code Block
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    stateNode.addInsideCenteredNodeLabel(state.name,
        KlighdConstants.DEFAULT_FONT_SIZE,
        KlighdConstants.DEFAULT_FONT_NAME);
    stateNode.addLayoutParam(
        LayoutOptionsCoreOptions.NODE_SIZE_CONSTRAINTCONSTRAINTS,
        EnumSet.of(SizeConstraint.MINIMUM_SIZE, SizeConstraint.NODE_LABELS));
  4. Now that we know how to transform states, we have to call our new method from the main transformation method. Replace the comment in its body with the following line of code:

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    model.states.forEach[ s | root.children += transform(s) ]

Let's see if our visualization works. Start your program (if you don't know how to do that, check out our Eclipse Plug-ins and Extension Points tutorial) and follow these steps:

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  1. Add the following code right before the return statement in the state transformation method:

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    stateNode.outgoingEdges.addAll(state.outgoingTransitions.map[ t | transform(t) ])
  2. Of course, we will have to add a transform method for transitions now:

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    private def KEdge transform(Transition trans) {
        val transEdge = trans.createEdge().associateWith(trans)
    
        return transEdge;
    }
  3. Again, we need to tell KLighD how to render the label:

    Code Block
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    transEdge.addPolyline(2).addHeadArrowDecorator();
  4. And the edge also needs a label that describes the transition:

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    // Add a label to the edge
    val label = KimlUtilKGraphUtil.createInitializedLabel(transEdge);
    val labelText = trans.trigger + " / "
               + trans.action + " "
               + trans.direction + " "
               + trans.newChar;
    label.configureCenterEdgeLabel(labelText,
        KlighdConstants.DEFAULT_FONT_SIZE,
        KlighdConstants.DEFAULT_FONT_NAME);
  5. What is missing now is to set the edge target to the node that represents the target state. There's a problem here, though: we don't even know if the target state already had a node created for it. Thus, we need to make sure it has:

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    transEdge.target = transform(trans.targetState);
  6. This, however, results in a different problem: if the target state already had a node created for it, we now create another node. What we would need the state transformation method to do would be to first check if a node has already been created for a given state, and, if so, return that instead of creating a new one. It turns out that Xtend already supports this pattern. Change the method's declaration and its first line to the following:

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    private def create stateNode : state.createNode() transform(State state) {
        stateNode.associateWith(state);

    Also, remove the return statement. Xtend now checks if we already created a node for the given state and, if not, execute the code in the method.

Start your program again, open your Turing machine file and add an outgoing transition (with pretty much arbitrary properties) to your Wilhelm Tell state. Change the  properties 'New Char' and 'Trigger' to arbirtary characters (but not 0, since that translates to the ASCII char null and will kill your Label).  Set the Apple state as the transition's target state. Save the model and fire up a KLighD view. It should look something like this:

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