props.set_name(std::move(name));
  return props;
}

// Matches a node with op `op`.
impl::NodeMatcherProperties Op(string op) {
  impl::NodeMatcherProperties props;
  props.set_op(std::move(op));
  return props;
}

// Matches a node with assigned device `assigned_device`.
impl::NodeMatcherProperties AssignedDevice(string assigned_device) {
  impl::NodeMatcherProperties props;

                        performanceResults.setChannel(testExecutions.getString(13));
                        performanceResults.setHost(testExecutions.getString(14));
                        performanceResults.setCleanTasks(ResultsStoreHelper.toList(testExecutions.getObject(15)));

          default_value.list().func_size() > 0 ||
          default_value.list().tensor_size() > 0) {
        TF_SetStatus(
            status, TF_UNIMPLEMENTED,
            tensorflow::strings::StrCat("Unable to get setfor default value: ",
                                        default_value.DebugString())
                .data());
      }
    } break;
    case tensorflow::AttrValue::kTensor:
      TF_FALLTHROUGH_INTENDED;

        final IdeaWorkspace workspace = project.getObjects().newInstance(IdeaWorkspace.class);
        ideaModel.setWorkspace(workspace);

        if (isRoot()) {
            workspace.setIws(new XmlFileContentMerger(new XmlTransformer()));

            final TaskProvider<GenerateIdeaWorkspace> task = project.getTasks().register(IDEA_WORKSPACE_TASK_NAME, GenerateIdeaWorkspace.class, workspace);

    const absl::flat_hash_map<absl::string_view, int>& histogram) {
  for (const auto& pair : histogram) {
    XlaAutoClusteringSummary::OpAndCount* new_entry = result->Add();
    new_entry->set_op(std::string(pair.first));
    new_entry->set_count(pair.second);
  }

  absl::c_sort(*result, [](const XlaAutoClusteringSummary::OpAndCount& a,
                           const XlaAutoClusteringSummary::OpAndCount& b) {

    TF_ASSIGN_OR_RETURN(auto tf_name,
                        GetTensorFlowOpName(inst->getName().getStringRef()));
    op_name.append(tf_name);
  }

  node_def->set_name(name.str());
  node_def->set_op(std::string(op_name.str()));

  // Update NodeDef constructed out of an MLIR Case/If/While op to map it to
  // either TensorFlow StatelessX or X op depending on the additional attribute.

        return ai;
    }

    private ProxyInfo proxyInfo(ArtifactRepository repository) {
        ProxyInfo proxyInfo = new ProxyInfo();
        proxyInfo.setHost(repository.getProxy().getHost());
        proxyInfo.setType(repository.getProxy().getProtocol());
        proxyInfo.setPort(repository.getProxy().getPort());

                    foo = objectFactory.directoryProperty()
                }

                @OutputDirectory
                DirectoryProperty getFoo() { return foo }

                void setFoo(File foo) { throw RuntimeException("") }

                @TaskAction
                void produce() { print("Producer ran") }
            }

            abstract class Consumer extends DefaultTask {

  const int num_inputs = input_shapes->num_items;
  NodeDef node_def;
  tensorflow::ImmediateExecutionOperation* op = tensorflow::unwrap(tfe_op);
  node_def.set_name(op->Name());
  node_def.set_op(op->Name());
  for (int i = 0; i < num_inputs; ++i) {
    node_def.add_input("dummy_input");
  }
  OperationFromInterface(op)->Attrs().FillAttrValueMap(node_def.mutable_attr());

                org.eclipse.aether.repository.Proxy proxy = selector.getProxy(repo);
                if (proxy != null) {
                    Proxy p = new Proxy();
                    p.setHost(proxy.getHost());
                    p.setProtocol(proxy.getType());
                    p.setPort(proxy.getPort());
                    if (proxy.getAuthentication() != null) {