// If implemented, this will be used to determine an objects' Labels
type Labeler interface {
	GetLabels() map[string]string
}

// Namer is an optional interface that can be implemented by collection types.
// If implemented, this will be used to determine an objects' Name.
type Namer interface {
	GetName() string
}

// Namespacer is an optional interface that can be implemented by collection types.

	FilterUnassociatedComments
	// If set, duplicate import declarations are excluded.
	FilterImportDuplicates
)

// nameOf returns the function (foo) or method name (foo.bar) for
// the given function declaration. If the AST is incorrect for the
// receiver, it assumes a function instead.
func nameOf(f *FuncDecl) string {
	if r := f.Recv; r != nil && len(r.List) == 1 {
		// looks like a correct receiver declaration

    const SmallVector<mlir::Type, NOutput>& output_types) {
  auto func_type = builder->getFunctionType(input_types, output_types);
  auto func = func::FuncOp::create(
      mlir::NameLoc::get(builder->getStringAttr("fused_func")), "fused_func",
      func_type, {});

  func.addEntryBlock();
  mlir::StringAttr attr_value = builder->getStringAttr("MaxUnpooling2D");
  func->setAttr("tf._implements", attr_value);

    private NamedDomainObjectSet<T> enabled;

    public DefaultReportContainer(Class<? extends T> type, Instantiator instantiator, CollectionCallbackActionDecorator callbackActionDecorator) {
        super(type, instantiator, Report.NAMER, callbackActionDecorator);

        enabled = matching(new Spec<T>() {
            @Override
            public boolean isSatisfiedBy(T element) {
                return element.getRequired().get();
            }

		return false, nil
	}
	return true, nil
}

// checkName checks the provided name against the request
func checkName(obj runtime.Object, name, namespace string, namer ScopeNamer) error {
	objNamespace, objName, err := namer.ObjectName(obj)
	if err != nil {
		return errors.NewBadRequest(fmt.Sprintf(
			"the name of the object (%s based on URL) was undeterminable: %v", name, err))
	}
	if objName != name {

	}

	getOpenAPIDefinitions := openapi.GetOpenAPIDefinitionsWithoutDisabledFeatures(generatedopenapi.GetOpenAPIDefinitions)
	namer := openapinamer.NewDefinitionNamer(extensionsapiserver.Scheme)
	config.GenericConfig.OpenAPIConfig = genericapiserver.DefaultOpenAPIConfig(getOpenAPIDefinitions, namer)

	completedConfig := config.Complete()
	server, err := completedConfig.New(genericapiserver.NewEmptyDelegate())
	if err != nil {

  text-align: left;
}
#top table tr td:nth-child(6) {
  width: 100%;
  text-overflow: ellipsis;
  overflow: hidden;
  white-space: nowrap;
}
#flathdr1, #flathdr2, #cumhdr1, #cumhdr2, #namehdr {
  cursor: ns-resize;
}
.hilite {
  background-color: #ebf5fb;
  font-weight: bold;

  llvm::SmallVector<Value> returning_values(output_count, Value());
  for (const auto& node_name : node_to_output_map.keys()) {
    auto node_output_tensors = node_to_output_map[node_name];

    NameLoc new_loc = NameLoc::get(builder.getStringAttr(node_name));
    int32_t max_tensor_index = 0;
    absl::c_for_each(node_output_tensors,
                     [&max_tensor_index](const OutputInfo& output_info) {

             << "failed to convert tensor (name: " << name.str() << ")";
    }
    ElementsAttr tensor_attr = tensor_attr_or.value();

    builder.create<tf_saved_model::GlobalTensorOp>(
        NameLoc::get(builder.getStringAttr(name.str())),
        builder.getStringAttr(name), tensor_attr,
        TypeAttr::get(tensor_attr.getType()), builder.getUnitAttr());
  }

  return success();
}

}  // namespace

							err = fmt.Errorf(
								"The composite tag of %s.%s cannot be empty",
								field.Schema.Name,
								field.Name)
							return
						}
						subName = composite
					}
					name = field.Schema.namer.IndexName(
						field.Schema.Table, subName)
				}

				if (k == "UNIQUEINDEX") || settings["UNIQUE"] != "" {
					settings["CLASS"] = "UNIQUE"
				}