)

type Configer interface {
	Config(t *testing.T, variant string) string
}

type vsArgs struct {
	Namespace string
	Match     string
	Matches   []string
	GwMatches []types.NamespacedName
	Dest      string
	Port      int
	PortMatch int
	Time      string
}

func (args vsArgs) Config(t *testing.T, variant string) string {
	if args.Time == "" {
		args.Time = TimeBase

        %3 = "tf.OptionalHasValue"(%2) : (tensor<!tf_type.variant>) -> tensor<i1>
        %4 = "tf.IfRegion"(%3) ({
          %5 = "tf.OptionalGetValue"(%2) : (tensor<!tf_type.variant>) -> tensor<32xf32>

// This method will actually merge the information contained in the
// types, it is capable of refining:
//   tensor<!tf_type.variant<tensor<?x8xf32>>>
// and:
//   tensor<!tf_type.variant<tensor<10x?xf32>>>
// into:
//   tensor<!tf_type.variant<tensor<10x8xf32>>>
//
// In case of inconsistencies (rank disagreement for example), it returns `lhs`.
Type TypeMeet(Type lhs, Type rhs) {

  labels:
    helm.sh/chart: loki-6.6.3
    app.kubernetes.io/name: loki
    app.kubernetes.io/instance: loki
    app.kubernetes.io/version: "3.0.0"
    app.kubernetes.io/managed-by: Helm
    variant: headless
    prometheus.io/service-monitor: "false"
  annotations:
spec:
  clusterIP: None
  ports:
    - name: http-metrics
      port: 3100
      targetPort: http-metrics
      protocol: TCP

        outputContains("variants = [{artifactType=thing}, {artifactType=thing}, {artifactType=out}, {artifactType=out}, {artifactType=jar, org.gradle.status=release}]")
        outputContains("variant capabilities = [[], [], [capability group='test', name='a', version='unspecified'], [capability group='test', name='b', version='unspecified'], [capability group='group', name='lib1', version='6500']]")

        when:

    TF_RETURN_IF_ERROR(c_event->Create());
    return std::move(c_event);
  }

  absl::StatusOr<std::unique_ptr<Stream>> CreateStream(
      std::optional<std::variant<StreamPriority, int>> priority =
          std::nullopt) override {
    auto stream = std::make_unique<CStream>(&device_, stream_executor_, this);
    TF_RETURN_IF_ERROR(stream->Create());
    return std::move(stream);

        if (mlir::isa<mlir::TF::VariantType>(elementType)) {
          return fn.emitError(
                     "function argument uses variant type. Currently, the "
                     "variant type is not natively supported in TFLite. Please "
                     "consider not using the variant type: ")
                     << arg.getType(),
                 false;
        }

When using modules, downloaded packages are stored in the module cache.
See https://golang.org/ref/mod#module-cache.

When using modules, an additional variant of the go-import meta tag is
recognized and is preferred over those listing version control systems.
That variant uses "mod" as the vcs in the content value, as in:

	<meta name="go-import" content="example.org mod https://code.org/moduleproxy">

        if (locale != null) {
            properties.put("user.language", locale.getLanguage());
            properties.put("user.country", locale.getCountry());
            properties.put("user.variant", locale.getVariant());
        }

        if (eagerClassLoaderCreationChecksOn) {
            properties.put(DefaultClassLoaderScope.STRICT_MODE_PROPERTY, "true");
        }

        if (interactive) {

  let summary = [{
Converts the given variant tensor to an iterator and stores it in the given resource.
  }];

  let arguments = (ins
    Arg<TF_ResourceTensor, [{A handle to an iterator resource.}], [TF_DatasetIteratorWrite]>:$resource_handle,
    Arg<TF_VariantTensor, [{A variant tensor storing the state of the iterator contained in the
resource.}]>:$serialized
  );