@Override
        public void addRepository(Repository repository, boolean replace) throws InvalidRepositoryException {}

        @Override
        public ModelResolver newCopy() {
            return this;
        }
    }

     * the state of the original resolver and vice versa.
     *
     * @return The cloned resolver, never {@code null}.
     */
    ModelResolver newCopy();

            if (remoteRepository.getId().equals(id)) {
                iterator.remove();
            }
        }
    }

    @Override
    public ModelResolver newCopy() {
        return new DefaultModelResolver(this);
    }

    @Override
    public ModelSource resolveModel(String groupId, String artifactId, String version)
            throws UnresolvableModelException {

                    }

                    importRequest.setModelSource(importSource);
                    importRequest.setModelResolver(modelResolver.newCopy());

                    final ModelBuildingResult importResult;
                    try {
                        importResult = build(importRequest, importIds);

        AvlNode<E> newTop = pred();
        // newTop is the maximum node in my left subtree
        newTop.left = left.removeMax(newTop);
        newTop.right = right;
        newTop.distinctElements = distinctElements - 1;
        newTop.totalCount = totalCount - oldElemCount;
        return newTop.rebalance();
      } else {
        AvlNode<E> newTop = succ();

        validateApi(body, messages -> {});
        final EditBody newBody = new EditBody();
        AdminGeneralAction.updateForm(fessConfig, newBody);
        BeanUtil.copyBeanToBean(body, newBody, CopyOptions::excludeNull);
        AdminGeneralAction.updateConfig(fessConfig, newBody);
        return asJson(new ApiResponse().status(Status.OK).result());
    }

                  TF_Status* status) {
  tensorflow::ImmediateExecutionOperation* new_op =
      tensorflow::unwrap(ctx)->CreateOperation();
  status->status = new_op->Reset(op_or_function_name, nullptr);
  if (!status->status.ok()) {
    new_op->Release();
    new_op = nullptr;
  }
  return tensorflow::wrap(new_op);
}

void TFE_DeleteOp(TFE_Op* op) {
  if (op == nullptr) {
    return;
  }