AbstractNetworkTest.validateNetwork(network);

      Collections.shuffle(nodeList, gen);
      for (Integer node : nodeList) {
        assertThat(network.addNode(node)).isTrue();
      }
      Collections.shuffle(edgeList, gen);
      for (Object edge : edgeList) {
        assertThat(
                network.addEdge(

  /**
   * Pointer to the predecessor of an entry in insertion order. ENDPOINT indicates a node is the
   * first node in insertion order; all values at indices ≥ {@link #size()} are UNSET.
   */
  private transient int @Nullable [] predecessor;

  /**
   * Pointer to the successor of an entry in insertion order. ENDPOINT indicates a node is the last
   * node in insertion order; all values at indices ≥ {@link #size()} are UNSET.
   */

  /**
   * Pointer to the predecessor of an entry in insertion order. ENDPOINT indicates a node is the
   * first node in insertion order; all values at indices ≥ {@link #size()} are UNSET.
   */
  private transient int @Nullable [] predecessor;

  /**
   * Pointer to the successor of an entry in insertion order. ENDPOINT indicates a node is the last
   * node in insertion order; all values at indices ≥ {@link #size()} are UNSET.
   */

        protected void visit(MetadataGraphVertex node) {
            ArtifactMetadata md = node.getMd();
            if (visited.contains(node)) {
                return;
            }

            cpc.add(md);

            List<MetadataGraphEdge> exits = graph.getExcidentEdges(node);

            if (exits != null && !exits.isEmpty()) {

using tensorflow::FunctionDef;
using tensorflow::Node;
using tensorflow::NodeBuilder;
using tensorflow::Status;
using tensorflow::errors::InvalidArgument;

namespace {
typedef std::unique_ptr<TF_Function, decltype(&TF_DeleteFunction)>
    UniqueFuncPtr;
}

// struct TF_Operation { tensorflow::Node node; };
static TF_Operation* ToTF_Operation(Node* node) {
  return static_cast<TF_Operation*>(static_cast<void*>(node));

     */
    default String requiredChildKey() {
        return null;
    }

    /**
     * @param child a node on which the transformation will be applied.
     * @return true if the transformation should be applied on child node, otherwise false.
     */
    default boolean matches(JsonNode child) {
        return child.has(requiredChildKey());
    }

import java.util.AbstractSet;
import java.util.Map;
import org.jspecify.annotations.Nullable;

/**
 * A class to represent the set of edges connecting an (implicit) origin node to a target node.
 *
 * <p>The {@link #nodeToOutEdge} map means this class only works on networks without parallel edges.
 * See {@link MultiEdgesConnecting} for a class that works with parallel edges.
 *
 * @author James Sexton

    discussions(categoryId: $category_id, first: 100) {
      nodes {
        title
        id
        number
        labels(first: 10) {
          edges {
            node {
              id
              name
            }
          }
        }
      }
    }
  }
}
"""

translation_discussion_query = """
query Q($after: String, $discussion_number: Int!) {

		total:             "Total memory on the node",
		memUsed:           "Used memory on the node",
		memUsedPerc:       "Used memory percentage on the node",
		memFree:           "Free memory on the node",
		memShared:         "Shared memory on the node",
		memBuffers:        "Buffers memory on the node",
		memCache:          "Cache memory on the node",
		memAvailable:      "Available memory on the node",

        for edge in edges:
            nodes.append(edge.node)
        last_edge = edges[-1]
        edges = get_graphql_sponsor_edges(settings=settings, after=last_edge.cursor)

    tiers: defaultdict[float, dict[str, SponsorEntity]] = defaultdict(dict)
    for node in nodes:
        tiers[node.tier.monthlyPriceInDollars][node.sponsorEntity.login] = (
            node.sponsorEntity
        )
    return tiers