private boolean quartetVanishes(Set<Integer> quartet) {
    if (quartet.size() != 4)
      throw new IllegalArgumentException("Expecting a quartet, size = " + quartet.size());

    Iterator<Integer> iter = quartet.iterator();
    int x = iter.next();
    int y = iter.next();
    int z = iter.next();
    int w = iter.next();

    return testVanishing(x, y, z, w);
  }
Esempio n. 2
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  /** Orients according to background knowledge */
  private void fciOrientbk(IKnowledge bk, Graph graph, List<Node> variables) {
    logger.log("info", "Starting BK Orientation.");

    for (Iterator<KnowledgeEdge> it = bk.forbiddenEdgesIterator(); it.hasNext(); ) {
      KnowledgeEdge edge = it.next();

      // match strings to variables in the graph.
      Node from = SearchGraphUtils.translate(edge.getFrom(), variables);
      Node to = SearchGraphUtils.translate(edge.getTo(), variables);

      if (from == null || to == null) {
        continue;
      }

      if (graph.getEdge(from, to) == null) {
        continue;
      }

      // Orient to*->from
      graph.setEndpoint(to, from, Endpoint.ARROW);
      graph.setEndpoint(from, to, Endpoint.CIRCLE);
      changeFlag = true;
      logger.log(
          "knowledgeOrientation",
          SearchLogUtils.edgeOrientedMsg("Knowledge", graph.getEdge(from, to)));
    }

    for (Iterator<KnowledgeEdge> it = bk.requiredEdgesIterator(); it.hasNext(); ) {
      KnowledgeEdge edge = it.next();

      // match strings to variables in this graph
      Node from = SearchGraphUtils.translate(edge.getFrom(), variables);
      Node to = SearchGraphUtils.translate(edge.getTo(), variables);

      if (from == null || to == null) {
        continue;
      }

      if (graph.getEdge(from, to) == null) {
        continue;
      }

      graph.setEndpoint(to, from, Endpoint.TAIL);
      graph.setEndpoint(from, to, Endpoint.ARROW);
      changeFlag = true;
      logger.log(
          "knowledgeOrientation",
          SearchLogUtils.edgeOrientedMsg("Knowledge", graph.getEdge(from, to)));
    }

    logger.log("info", "Finishing BK Orientation.");
  }
  /** Orients according to background knowledge. */
  public static void pcOrientbk(Knowledge bk, Graph graph, List<Node> nodes) {
    TetradLogger.getInstance().log("info", "Staring BK Orientation.");
    for (Iterator<KnowledgeEdge> it = bk.forbiddenEdgesIterator(); it.hasNext(); ) {
      KnowledgeEdge edge = it.next();

      // match strings to variables in the graph.
      Node from = translate(edge.getFrom(), nodes);
      Node to = translate(edge.getTo(), nodes);

      if (from == null || to == null) {
        continue;
      }

      if (graph.getEdge(from, to) == null) {
        continue;
      }

      // Orient to-->from
      graph.removeEdge(from, to);
      graph.addDirectedEdge(from, to);
      graph.setEndpoint(from, to, Endpoint.TAIL);
      graph.setEndpoint(to, from, Endpoint.ARROW);

      TetradLogger.getInstance()
          .edgeOriented(SearchLogUtils.edgeOrientedMsg("Knowledge", graph.getEdge(to, from)));
    }

    for (Iterator<KnowledgeEdge> it = bk.requiredEdgesIterator(); it.hasNext(); ) {
      KnowledgeEdge edge = it.next();

      // match strings to variables in this graph
      Node from = translate(edge.getFrom(), nodes);
      Node to = translate(edge.getTo(), nodes);

      if (from == null || to == null) {
        continue;
      }

      if (graph.getEdge(from, to) == null) {
        continue;
      }

      // Orient from-->to
      graph.setEndpoint(to, from, Endpoint.TAIL);
      graph.setEndpoint(from, to, Endpoint.ARROW);
      TetradLogger.getInstance()
          .edgeOriented(SearchLogUtils.edgeOrientedMsg("Knowledge", graph.getEdge(from, to)));
    }
    TetradLogger.getInstance().log("info", "Finishing BK Orientation.");
  }
Esempio n. 4
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  // ===========================SCORING METHODS===================//
  public double scoreDag(Graph graph) {
    Graph dag = new EdgeListGraphSingleConnections(graph);
    buildIndexing(graph);

    double score = 0.0;

    for (Node y : dag.getNodes()) {
      Set<Node> parents = new HashSet<Node>(dag.getParents(y));
      int nextIndex = -1;
      for (int i = 0; i < getVariables().size(); i++) {
        nextIndex = hashIndices.get(variables.get(i));
      }
      int parentIndices[] = new int[parents.size()];
      Iterator<Node> pi = parents.iterator();
      int count = 0;
      while (pi.hasNext()) {
        Node nextParent = pi.next();
        parentIndices[count++] = hashIndices.get(nextParent);
      }

      if (this.isDiscrete()) {
        score += localDiscreteScore(nextIndex, parentIndices);
      } else {
        score += localSemScore(nextIndex, parentIndices);
      }
    }
    return score;
  }
Esempio n. 5
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  /**
   * Returns a list of all the SessionNodeWrappers (TetradNodes) and SessionNodeEdges that are model
   * components for the respective SessionNodes and SessionEdges selected in the workbench. Note
   * that the workbench, not the SessionEditorNodes themselves, keeps track of the selection.
   *
   * @return the set of selected model nodes.
   */
  public List getSelectedModelComponents() {
    List<Component> selectedComponents = getWorkbench().getSelectedComponents();
    List<TetradSerializable> selectedModelComponents = new ArrayList<TetradSerializable>();

    for (Iterator<Component> it = selectedComponents.iterator(); it.hasNext(); ) {
      Object comp = it.next();

      if (comp instanceof DisplayNode) {
        selectedModelComponents.add(((DisplayNode) comp).getModelNode());
      } else if (comp instanceof DisplayEdge) {
        selectedModelComponents.add(((DisplayEdge) comp).getModelEdge());
      }
    }

    return selectedModelComponents;
  }
Esempio n. 6
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  private void addRequiredEdges(Graph graph) {
    if (true) return;
    if (knowledgeEmpty()) return;

    for (Iterator<KnowledgeEdge> it = getKnowledge().requiredEdgesIterator(); it.hasNext(); ) {
      KnowledgeEdge next = it.next();

      Node nodeA = graph.getNode(next.getFrom());
      Node nodeB = graph.getNode(next.getTo());

      if (!graph.isAncestorOf(nodeB, nodeA)) {
        graph.removeEdges(nodeA, nodeB);
        graph.addDirectedEdge(nodeA, nodeB);
        TetradLogger.getInstance()
            .log("insertedEdges", "Adding edge by knowledge: " + graph.getEdge(nodeA, nodeB));
      }
    }
    for (Edge edge : graph.getEdges()) {
      final String A = edge.getNode1().getName();
      final String B = edge.getNode2().getName();

      if (knowledge.isForbidden(A, B)) {
        Node nodeA = edge.getNode1();
        Node nodeB = edge.getNode2();

        if (nodeA != null
            && nodeB != null
            && graph.isAdjacentTo(nodeA, nodeB)
            && !graph.isChildOf(nodeA, nodeB)) {
          if (!graph.isAncestorOf(nodeA, nodeB)) {
            graph.removeEdges(nodeA, nodeB);
            graph.addDirectedEdge(nodeB, nodeA);
            TetradLogger.getInstance()
                .log("insertedEdges", "Adding edge by knowledge: " + graph.getEdge(nodeB, nodeA));
          }
        }
        if (!graph.isChildOf(nodeA, nodeB)
            && getKnowledge().isForbidden(nodeA.getName(), nodeB.getName())) {
          if (!graph.isAncestorOf(nodeA, nodeB)) {
            graph.removeEdges(nodeA, nodeB);
            graph.addDirectedEdge(nodeB, nodeA);
            TetradLogger.getInstance()
                .log("insertedEdges", "Adding edge by knowledge: " + graph.getEdge(nodeB, nodeA));
          }
        }
      } else if (knowledge.isForbidden(B, A)) {
        Node nodeA = edge.getNode2();
        Node nodeB = edge.getNode1();

        if (nodeA != null
            && nodeB != null
            && graph.isAdjacentTo(nodeA, nodeB)
            && !graph.isChildOf(nodeA, nodeB)) {
          if (!graph.isAncestorOf(nodeA, nodeB)) {
            graph.removeEdges(nodeA, nodeB);
            graph.addDirectedEdge(nodeB, nodeA);
            TetradLogger.getInstance()
                .log("insertedEdges", "Adding edge by knowledge: " + graph.getEdge(nodeB, nodeA));
          }
        }
        if (!graph.isChildOf(nodeA, nodeB)
            && getKnowledge().isForbidden(nodeA.getName(), nodeB.getName())) {
          if (!graph.isAncestorOf(nodeA, nodeB)) {
            graph.removeEdges(nodeA, nodeB);
            graph.addDirectedEdge(nodeB, nodeA);
            TetradLogger.getInstance()
                .log("insertedEdges", "Adding edge by knowledge: " + graph.getEdge(nodeB, nodeA));
          }
        }
      }
    }
  }
Esempio n. 7
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  ////////////////////////////////////////////
  // RFCI Algorithm 4.4 (Colombo et al, 2012)
  // Orient colliders
  ////////////////////////////////////////////
  private void ruleR0_RFCI(List<Node[]> rTuples) {
    List<Node[]> lTuples = new ArrayList<Node[]>();

    List<Node> nodes = graph.getNodes();

    ///////////////////////////////
    // process tuples in rTuples
    while (!rTuples.isEmpty()) {
      Node[] thisTuple = rTuples.remove(0);

      Node i = thisTuple[0];
      Node j = thisTuple[1];
      Node k = thisTuple[2];

      final List<Node> nodes1 = getSepset(i, k);

      if (nodes1 == null) continue;

      List<Node> sepSet = new ArrayList<Node>(nodes1);
      sepSet.remove(j);

      boolean independent1 = false;
      if (knowledge.noEdgeRequired(i.getName(), j.getName())) // if BK allows
      {
        try {
          independent1 = independenceTest.isIndependent(i, j, sepSet);
        } catch (Exception e) {
          independent1 = true;
        }
      }

      boolean independent2 = false;
      if (knowledge.noEdgeRequired(j.getName(), k.getName())) // if BK allows
      {
        try {
          independent2 = independenceTest.isIndependent(j, k, sepSet);
        } catch (Exception e) {
          independent2 = true;
        }
      }

      if (!independent1 && !independent2) {
        lTuples.add(thisTuple);
      } else {
        // set sepSets to minimal separating sets
        if (independent1) {
          setMinSepSet(sepSet, i, j);
          graph.removeEdge(i, j);
        }
        if (independent2) {
          setMinSepSet(sepSet, j, k);
          graph.removeEdge(j, k);
        }

        // add new unshielded tuples to rTuples
        for (Node thisNode : nodes) {
          List<Node> adjacentNodes = graph.getAdjacentNodes(thisNode);
          if (independent1) // <i, ., j>
          {
            if (adjacentNodes.contains(i) && adjacentNodes.contains(j)) {
              Node[] newTuple = {i, thisNode, j};
              rTuples.add(newTuple);
            }
          }
          if (independent2) // <j, ., k>
          {
            if (adjacentNodes.contains(j) && adjacentNodes.contains(k)) {
              Node[] newTuple = {j, thisNode, k};
              rTuples.add(newTuple);
            }
          }
        }

        // remove tuples involving either (if independent1) <i, j>
        // or (if independent2) <j, k> from rTuples
        Iterator<Node[]> iter = rTuples.iterator();
        while (iter.hasNext()) {
          Node[] curTuple = iter.next();
          if ((independent1 && (curTuple[1] == i) && ((curTuple[0] == j) || (curTuple[2] == j)))
              || (independent2 && (curTuple[1] == k) && ((curTuple[0] == j) || (curTuple[2] == j)))
              || (independent1 && (curTuple[1] == j) && ((curTuple[0] == i) || (curTuple[2] == i)))
              || (independent2
                  && (curTuple[1] == j)
                  && ((curTuple[0] == k) || (curTuple[2] == k)))) {
            iter.remove();
          }
        }

        // remove tuples involving either (if independent1) <i, j>
        // or (if independent2) <j, k> from lTuples
        iter = lTuples.iterator();
        while (iter.hasNext()) {
          Node[] curTuple = iter.next();
          if ((independent1 && (curTuple[1] == i) && ((curTuple[0] == j) || (curTuple[2] == j)))
              || (independent2 && (curTuple[1] == k) && ((curTuple[0] == j) || (curTuple[2] == j)))
              || (independent1 && (curTuple[1] == j) && ((curTuple[0] == i) || (curTuple[2] == i)))
              || (independent2
                  && (curTuple[1] == j)
                  && ((curTuple[0] == k) || (curTuple[2] == k)))) {
            iter.remove();
          }
        }
      }
    }

    ///////////////////////////////////////////////////////
    // orient colliders (similar to original FCI ruleR0)
    for (Node[] thisTuple : lTuples) {
      Node i = thisTuple[0];
      Node j = thisTuple[1];
      Node k = thisTuple[2];

      List<Node> sepset = getSepset(i, k);

      if (sepset == null) {
        continue;
      }

      if (!sepset.contains(j) && graph.isAdjacentTo(i, j) && graph.isAdjacentTo(j, k)) {

        if (!isArrowpointAllowed(i, j)) {
          continue;
        }

        if (!isArrowpointAllowed(k, j)) {
          continue;
        }

        graph.setEndpoint(i, j, Endpoint.ARROW);
        graph.setEndpoint(k, j, Endpoint.ARROW);

        printWrongColliderMessage(i, j, k, "R0_RFCI");
      }
    }
  }