arg_shapes.emplace_back(tensor_shape);

    DataType dtype;
    TF_RETURN_IF_ERROR(ConvertToDataType(input_type, &dtype));

    auto metadata_arg = metadata_proto.add_args();
    metadata_arg->set_kind(tpu::TPUCompileMetadataProto::Arg::PARAMETER);
    metadata_arg->set_dtype(dtype);
  }

  return absl::OkStatus();
}

absl::Status SetupReturnValues(mlir::ModuleOp module,

  std::vector<TensorShape> arg_shapes = {{1}};
  TPUCompileMetadataProto metadata_proto;
  auto arg = metadata_proto.add_args();
  arg->set_dtype(DataType::DT_FLOAT);
  arg->set_kind(TPUCompileMetadataProto::Arg::PARAMETER);
  metadata_proto.add_retvals();
  bool use_tuple_args = true;
  std::vector<ShardingAndIndex> arg_core_mapping;
  std::vector<std::vector<xla::Shape>> per_core_arg_shapes;

    // Set up an arg per arg_shape with the specified type.
    for (int i = 0; i < arg_shapes.size(); ++i) {
      auto metadata_arg = metadata_proto.add_args();
      metadata_arg->set_kind(
          tensorflow::tpu::TPUCompileMetadataProto::Arg::PARAMETER);
      metadata_arg->set_dtype(dtype);
    }
    // Set up one dummy retval.
    metadata_proto.add_retvals();
    bool use_tuple_args = true;

jacob-delgado <******@****.***> 1696273699 -0600

}

func (u *UnstructuredList) SetAPIVersion(version string) {
	u.setNestedField(version, "apiVersion")
}

func (u *UnstructuredList) GetKind() string {
	return getNestedString(u.Object, "kind")
}

func (u *UnstructuredList) SetKind(kind string) {
	u.setNestedField(kind, "kind")
}

func (u *UnstructuredList) GetResourceVersion() string {

        this.kind = Preconditions.checkNotNull(kind);
        this.pattern = Preconditions.checkNotNull(pattern);
    }

    public String getKind() {
        return kind;
    }

    public void setKind(String kind) {
        this.kind = kind;
    }

    public String getPattern() {
        return pattern;
    }

    public void setPattern(String pattern) {

        String callableNameForDocComment = interceptedCallable.getKind() == CallableKindInfo.AFTER_CONSTRUCTOR ? className.simpleName() : interceptedCallable.getCallableName();
        List<ParameterInfo> params = request.getInterceptedCallable().getParameters();
        List<ParameterInfo> methodParameters = params.stream().filter(parameter -> parameter.getKind().isSourceParameter()).collect(Collectors.toList());

For example, to create two clusters, run the script two times with the following
parameters:

```bash
  ./setupkind.sh --cluster-name cluster1 --ip-space 255 -i dual
  ./setupkind.sh --cluster-name cluster2 --ip-space 245 -i dual
```

To setup a dual-stack cluster that prefers IPv6 instead of IPv4 (the default)

```bash

func (f *FakeObjectCreater) New(gvk schema.GroupVersionKind) (runtime.Object, error) {
	u := unstructured.Unstructured{Object: map[string]interface{}{}}
	u.SetAPIVersion(gvk.GroupVersion().String())
	u.SetKind(gvk.Kind)
	return &u, nil
}

// FakeObjectConvertor implements runtime.ObjectConvertor but it
// actually does nothing but return its input.
type FakeObjectConvertor struct{}

        return callableInfo.getParameters().stream().anyMatch(it -> it.getKind() == ParameterKindInfo.CALLER_CLASS_NAME);
    }

    public static boolean hasInjectVisitorContext(CallableInfo callableInfo) {
        return callableInfo.getParameters().stream().anyMatch(it -> it.getKind() == ParameterKindInfo.INJECT_VISITOR_CONTEXT);
    }