}{
		{
			name: "consolidate output from manifest map",
			mm: ManifestMap{
				"key1": []string{"value1", "value2"},
				"key2": []string{},
			},
			want: map[string]string{
				"key1": "value1\n---\nvalue2\n---\n",
				"key2": "",
			},
		},
	}
	for _, tt := range tests {
		t.Run(tt.name, func(t *testing.T) {
			if got := tt.mm.Consolidated(); !reflect.DeepEqual(got, tt.want) {

// Can we find the given `dialect_name` in the `accepted_dialects`?
bool IsAcceptedDialect(llvm::StringRef dialect_name,
                       const std::vector<std::string> &accepted_dialects);

// The consolidated logic to verify if each final op is acceptable or not.
// Also see `PrintOpStatsPass` and `CheckAcceptedOpsPass`.
bool IsAcceptedOp(llvm::StringRef dialect_name, llvm::StringRef op_name,

	Content string
}

// ManifestMap is a map of ComponentName to its manifest string.
type ManifestMap map[ComponentName][]string

// Consolidated returns a representation of mm where all manifests in the slice under a key are combined into a single
// manifest.
func (mm ManifestMap) Consolidated() map[string]string {
	out := make(map[string]string)
	for cname, ms := range mm {
		allM := ""
		for _, m := range ms {

# The only intended use case of this library is by `pywrap_tensorflow_to_stablehlo`. Not letting
# `pywrap_tensorflow_to_stablehlo` directly depend on sub-libraries like `static_range_srq` and instead haiving
# a consolidated impl library `pywrap_tensorflow_to_stablehlo_lib_impl` allows the maintainers to avoid
# declaring multiple impl libraries to `libtensorflow_cc` and `lib_pywrap_tensorflow_internal`,
# which is required to avoid ODR violations.

			} else {
				// Copy the rule to accumulate matching simple resource rules into
				simpleRules[resource] = rule.DeepCopy()
			}
		} else {
			compacted = append(compacted, rule)
		}
	}

	// Once we've consolidated the simple resource rules, add them to the compacted list
	for _, simpleRule := range simpleRules {
		compacted = append(compacted, *simpleRule)
	}

	return compacted, nil
}

# The only intended use case of this library is by `pywrap_quantization`. Not letting
# `pywrap_quantization` directly depend on sub-libraries like `static_range_srq` and instead haiving
# a consolidated impl library `pywrap_quantization_lib_impl` allows the maintainers to avoid
# declaring multiple impl libraries to `libtensorflow_cc` and `lib_pywrap_tensorflow_internal`,
# which is required to avoid ODR violations.

  in terms of user-provided configuration from properties or the POM).
  If these mojos are to be first-class components, the configuration from these
  various sources must be consolidated and injected using the container.

  Currently, mojo configuration is done externally to the container, in the
  DefaultPluginManager in the maven-core API. In order to get from here to

	iopTestGwData1 []byte
	//go:embed testdata/iop-test-gw-2.yaml
	iopTestGwData2 []byte
)

func applyResourcesIntoCluster(t *testing.T, h *HelmReconciler, manifestMap name.ManifestMap) {
	for cn, ms := range manifestMap.Consolidated() {
		objects, err := object.ParseK8sObjectsFromYAMLManifest(ms)
		if err != nil {
			t.Fatalf("failed parse k8s objects from yaml: %v", err)
		}
		for _, obj := range objects {
			obju := obj.UnstructuredObject()

	extended extendedGenerator
}

type ruleList struct {
	rules []*rule
}

// Model represents a single rule from an authorization policy. The conditions of the rule are consolidated into
// permission or principal to align with the Envoy RBAC filter API.
type Model struct {
	permissions []ruleList
	principals  []ruleList
}

// New returns a model representing a single authorization policy.

				if alt := seen.lookup(named); alt != nil {
					// We have seen this type before, at a more shallow depth
					// (note that multiples of this type at the current depth
					// were consolidated before). The type at that depth shadows
					// this same type at the current depth, so we can ignore
					// this one.
					continue
				}
				seen.add(named)

				for i := 0; i < named.NumMethods(); i++ {