extensionsAppended = true
			break
		}
	}

	rawAttributes, err := newRawAttributes(attributes)
	if err != nil {
		return nil, err
	}

	// If not included in attributes, add a new attribute for the
	// extensions.
	if len(extensions) > 0 && !extensionsAppended {
		attr := struct {
			Type  asn1.ObjectIdentifier
			Value [][]pkix.Extension `asn1:"set"`
		}{

			// Note that hcsshim.AddLoadBalancer() doesn't support endpoints with different ports, so only port from first endpoint is used.
			// TODO(feiskyer): add support of different endpoint ports after hcsshim.AddLoadBalancer() add that.
			if svcInfo.targetPort == 0 {
				svcInfo.targetPort = int(ep.port)
			}

			[]testInst{
				{`T`, []string{`int`}, `struct{x int}`},
				{`T`, []string{`int`}, `struct{x int}`},
			},
		},
		{`package dupltype1; type T[P ~int] struct{ x P }; func (r *T[Q]) add(z T[Q]) { r.x += z.x }`,
			[]testInst{
				{`T`, []string{`Q`}, `struct{x Q}`},
				{`T`, []string{`Q`}, `struct{x Q}`},
			},
		},

)

selects.config_setting_group(
    name = "api_indexable",
    match_any = [":api_indexable_flag"] + ADDITIONAL_API_INDEXABLE_SETTINGS,
    visibility = ["//visibility:public"],
)

# DO NOT ADD ANY NEW EXCEPTIONS TO THIS LIST!
# Instead, please use public APIs or public build rules TF provides.
# If you need functionality that is not exposed, we will work with you to expand our public APIs.

	sets := make([]*apps.StatefulSet, 10)
	perm := rand.Perm(10)
	for i, v := range perm {
		sets[i] = newStatefulSet(10)
		sets[i].CreationTimestamp = metav1.NewTime(sets[i].CreationTimestamp.Add(time.Duration(v) * time.Second))
	}
	sort.Sort(overlappingStatefulSets(sets))
	if !sort.IsSorted(overlappingStatefulSets(sets)) {
		t.Error("ascendingOrdinal fails to sort Pods")
	}
	for i, v := range perm {

'metadata' is a serialized TPUCompileMetadataProto describing the shapes and
types of the inputs to the computation, as well as a mapping onto the TPU pod
topology.
'producer_name' is a string describing the name of the framework that add support for running this portion of the model on TPUs.
  }];

  let arguments = (ins
    Variadic<TF_Tensor>:$args,
    Variadic<TF_Int64Tensor>:$static_shapes,