grafana-node.png...

            "stacking": {
              "group": "A",
              "mode": "none"
            },
            "thresholdsStyle": {
              "mode": "off"
            }
          },
          "links": [],
          "mappings": [],
          "min": 0,
          "thresholds": {
            "mode": "absolute",
            "steps": [
              {
                "color": "green",

            "spanNulls": false,
            "stacking": {
              "group": "A",
              "mode": "none"
            },
            "thresholdsStyle": {
              "mode": "off"
            }
          },
          "mappings": [],
          "thresholds": {
            "mode": "absolute",
            "steps": [
              {
                "color": "green",
                "value": null

  /**
   * Returns the subgraph of {@code graph} induced by {@code nodes}. This subgraph is a new graph
   * that contains all of the nodes in {@code nodes}, and all of the {@link Graph#edges() edges}
   * (and associated edge values) from {@code graph} for which both nodes are contained by {@code
   * nodes}.
   *
   * @throws IllegalArgumentException if any element in {@code nodes} is not a node in the graph
   */

  /**
   * Returns the subgraph of {@code graph} induced by {@code nodes}. This subgraph is a new graph
   * that contains all of the nodes in {@code nodes}, and all of the {@link Graph#edges() edges}
   * from {@code graph} for which both nodes are contained by {@code nodes}.
   *
   * @throws IllegalArgumentException if any element in {@code nodes} is not a node in the graph
   */

        Set<ResolutionNode> set = new LinkedHashSet<>();

        for (List<ResolutionNode> nodes : resolvedArtifacts.values()) {
            for (ResolutionNode node : nodes) {
                if (!node.equals(root) && node.isActive()) {
                    Artifact artifact = node.getArtifact();

                    try {
                        if (node.filterTrail(filter)) {

                                           TF_Status* status) {
  Node* node = &output.oper->node;

  mutex_lock l(graph->mu);
  tensorflow::shape_inference::InferenceContext* ic =
      graph->refiner.GetContext(node);
  if (ic == nullptr) {
    status->status =
        InvalidArgument("Node ", node->name(), " was not found in the graph");
    return;
  }

  auto shape_and_type_vec =

    /**
     * Implementation method for writing an XML node to a writer.
     *
     * @param node the XML node to write
     * @param writer the writer to write to
     * @throws IOException if there is an error writing the XML
     */
    protected abstract void doWrite(XmlNode node, Writer writer) throws IOException;

    /**
     * Implementation method for merging two XML nodes.
     *

    - [Client Binaries](#client-binaries-7)
    - [Server Binaries](#server-binaries-7)
    - [Node Binaries](#node-binaries-7)
    - [Container Images](#container-images-7)
  - [Changelog since v1.31.4](#changelog-since-v1314)
  - [Important Security Information](#important-security-information-2)

   */
  private void removeNode(Node<K, V> node) {
    if (node.previous != null) {
      node.previous.next = node.next;
    } else { // node was head
      head = node.next;
    }
    if (node.next != null) {
      node.next.previous = node.previous;
    } else { // node was tail
      tail = node.previous;
    }
    if (node.previousSibling == null && node.nextSibling == null) {
      /*