return (Multiset.Entry<E>[]) new Multiset.Entry<?>[length];
    }

    @Override
    public Iterable<Entry<E>> order(List<Entry<E>> insertionOrder) {
      // We mimic the order from gen.
      Map<E, Entry<E>> map = new LinkedHashMap<>();
      for (Entry<E> entry : insertionOrder) {
        map.put(entry.getElement(), entry);
      }

      Set<E> seen = new HashSet<>();

    TF_ShapeAndTypeList* shape_list);
TF_CAPI_EXPORT extern void TF_DeleteShapeAndTypeListArray(
    TF_ShapeAndTypeList** shape_list_array, int num_items);

// Infer shapes for the given `op`. The arguments mimic the arguments of the
// `shape_inference::InferenceContext` constructor. Note the following:
//   - The inputs of the `op` are not used for shape inference. So, it is

      return (Multiset.Entry<E>[]) new Multiset.Entry<?>[length];
    }

    @Override
    public Iterable<Entry<E>> order(List<Entry<E>> insertionOrder) {
      // We mimic the order from gen.
      Map<E, Entry<E>> map = new LinkedHashMap<>();
      for (Entry<E> entry : insertionOrder) {
        map.put(entry.getElement(), entry);
      }

      Set<E> seen = new HashSet<>();

            throws ArtifactResolutionException, ArtifactNotFoundException {
        ArtifactResolutionResult result = resolve(request);

        // We have collected all the problems so let's mimic the way the old code worked and just blow up right here.
        // That's right lets just let it rip right here and send a big incomprehensible blob of text at unsuspecting
        // users. Bad dog!