//           create_resource function to produce the resource_handle
  //           associated with the object:
  //           https://github.com/tensorflow/tensorflow/blob/568e2bef00f24af1159a0846abf67c099ca78a21/tensorflow/python/training/tracking/tracking.py#L246-L247
  //  create_resource - Non owning pointer to the create_resource function

    TFConcreteFunction* create_resource = nullptr;

    // Check all the functions associated with the resource have already been
    // initialized in `revived`
    if (resource_revival_state.create_resource != nullptr) {
      create_resource = revived->concrete_functions.Find(
          resource_revival_state.create_resource->node_id);
      if (create_resource == nullptr) {

                                   TFConcreteFunction* create_resource,
                                   TFConcreteFunction* initialize,
                                   TFConcreteFunction* destroy_resource,
                                   ImmediateTensorHandlePtr resource_handle)
    : TensorHandleConvertible(std::move(resource_handle)),
      device_(device),
      create_resource_(create_resource),
      initialize_(initialize),

# CHECK: "tf.VariableV2"
# CHECK-SAME: shared_name = "variable_v2_node"

# CHECK: "tf.BatchFunction"
# CHECK-SAME: shared_name = "batch_node"

# CHECK: func private @create_resource
# CHECK: tf.HashTableV2
# CHECK-SAME: shared_name = "hash_table_node@create_resource"
# CHECK: "tf.Variable"
# CHECK-SAME: shared_name = "variable_node"
# CHECK: "tf.VariableV2"
# CHECK-SAME: shared_name = "variable_v2_node"
# CHECK: "tf.BatchFunction"

struct RestoredResourceRevivalState {
  std::string device;
  TFConcreteFunctionRevivalState* create_resource = nullptr;
  TFConcreteFunctionRevivalState* initialize = nullptr;
  TFConcreteFunctionRevivalState* destroy_resource = nullptr;
  ImmediateTensorHandlePtr resource_handle = nullptr;
};

}  // namespace tensorflow

      // Note(bmzhao): The expected functions saved by a resource object are:
      // "_create_resource", "_initialize", and "_destroy_resource".
      // https://github.com/tensorflow/tensorflow/blob/ad66f588c1666ade8051feb42811fa27b285271c/tensorflow/python/training/tracking/tracking.py#L277-L281
      if (child.local_name() == "_create_resource" &&
          obj_graph.nodes(child.node_id()).kind_case() ==
              SavedObject::kFunction) {

    private static final String SNAPSHOT_WRAPPERS = "snapshotWrappers";
    private static final String DOWNLOADED_RESOURCES = "downloadedResources";
    private static final String CREATED_RESOURCES = "createdResources";
    private static final String BUILD_CACHE = "buildCache";
    static final String UNSAFE_MODIFICATION_ERROR = "The property '%s' was modified from an unsafe location (for instance a settings script or plugin).  " +

        filer.createResource(StandardLocation.SOURCE_OUTPUT, "", "foo.txt", methodInside("Bar"), methodInside("Bar"))

        then:
        !result.fullRebuildCause
    }

    def "packages are valid originating elements"() {
        when:
        filer.createSourceFile("Foo", pkg("fizz"))
        filer.createResource(StandardLocation.SOURCE_OUTPUT, "", "foo.txt", pkg("fizz"))

    def "resources with same path but different location are distinct"() {
        when:
        filer.createResource(StandardLocation.SOURCE_OUTPUT,        "com.enterprise.software", "foo.txt", type("A"))
        filer.createResource(StandardLocation.CLASS_OUTPUT,         "com.enterprise.software", "foo.txt", type("A"))
        filer.createResource(StandardLocation.NATIVE_HEADER_OUTPUT, "com.enterprise.software", "foo.txt", type("A"))

        then:

        then:
        wbResource == createWbResource()
    }

    def canWriteToXml() {
        Node rootNode = new Node(null, 'root')

        when:
        createWbResource().appendNode(rootNode)

        then:
        new WbResource(rootNode.'wb-resource'[0]) == createWbResource()
    }

    def equality() {
        WbResource wbResource = createWbResource()
        wbResource.sourcePath += 'x'