}
  auto& module = module_or.value();
  std::srand(0);
  for (auto fn : module->getOps<mlir::func::FuncOp>()) {
    for (auto& bb : fn) {
      for (auto& inst : bb) {
        auto attr_id = mlir::StringAttr::get(context, "value");
        if (auto attr = inst.getAttrOfType<mlir::ElementsAttr>(attr_id)) {
          mlir::Attribute rand_val;
          mlir::Type element_type = attr.getShapedType().getElementType();

// Converts an MLIR operation to TensorFlow NodeDef with given node name. This
// name should be unique to the graph it is being inserted into.
absl::StatusOr<std::unique_ptr<NodeDef>> GetOperationNodeDef(
    mlir::Operation* inst, llvm::StringRef name);

// Converts MLIR attributes with values to their tensorflow equivalent.
// "name" and "device" attributes are ignored by default. Use attrs_to_ignore to

		"ppc64":   "\tMOVD\tR0,R3\n",
		"ppc64le": "\tMOVD\tR0,R3\n",
		"arm":     "\tMOVW\tR0,R1\n",
	}
	inst := instOnArch[buildcfg.GOARCH]
	for j := 0; j < FN; j++ {
		testname := fmt.Sprintf("bigfn%d", j)
		fmt.Fprintf(&w, "TEXT ·%s(SB),$0\n", testname)
		for i := 0; i < 2200000; i++ {
			fmt.Fprintf(&w, inst)
		}
		fmt.Fprintf(&w, "\tRET\n")
		err := os.WriteFile(tmpdir+"/"+testname+".s", w.Bytes(), 0666)
		if err != nil {

#include "mlir/IR/Operation.h"  // from @llvm-project
#include "mlir/Support/LogicalResult.h"  // from @llvm-project

namespace mlir {
namespace TF {

LogicalResult ConstantFoldFallbackHook(
    Operation *inst, ArrayRef<Attribute> operands,
    SmallVectorImpl<OpFoldResult> &results);  // NOLINT

}  // namespace TF
}  // namespace mlir

		{`package u1c; type _ interface{~int}`, `~int`, `~int`},
		{`package u2c; type _ interface{int | string}`, `int | string`, `int | string`},
		{`package u3c; type _ interface{int | string | ~bool}`, `int | string | ~bool`, `int | string | ~bool`},
		{`package u3c; type _ interface{int | string | ~bool}`, `int | string`, `int | string`},
		{`package u3c; type _ interface{int | string | ~bool}`, `~bool`, `~bool`},

		{`package u1c; type _ interface{~int}`, `~int`, `~int`},
		{`package u2c; type _ interface{int | string}`, `int | string`, `int | string`},
		{`package u3c; type _ interface{int | string | ~bool}`, `int | string | ~bool`, `int | string | ~bool`},
		{`package u3c; type _ interface{int | string | ~bool}`, `int | string`, `int | string`},
		{`package u3c; type _ interface{int | string | ~bool}`, `~bool`, `~bool`},

		if c.Config().Cluster.Name() == name {
			out = append(out, c)
		}
	}
	return out
}

func (i Instances) Workloads() (Workloads, error) {
	var out Workloads
	for _, inst := range i {
		ws, err := inst.Workloads()
		if err != nil {
			return nil, err
		}
		out = append(out, ws...)
	}

	if len(out) == 0 {
		return nil, errors.New("got 0 workloads")
	}

	return out, nil

// kernel registered for the op and is executed successfully, this fills in the
// results vector.  If not, results vector is unspecified.
//
mlir::LogicalResult EvaluateOperation(
    mlir::Operation* inst, llvm::ArrayRef<mlir::ElementsAttr> operands,
    TFE_Context* context, llvm::SmallVectorImpl<mlir::Attribute>* results);

}  // namespace tensorflow

    public void bindInterfacesTest() {
        Injector injector = Injector.create().bindImplicit(BindInterfaces.class);
        BindInterfaces.TestInterface<String> inst =
                injector.getInstance(new Key<BindInterfaces.TestInterface<String>>() {});
        assertNotNull(inst);
    }

    static class BindInterfaces {

        interface TestInterface<T> {
            T getObj();
        }

        @Named

	if len(instances) != 6 {
		t.Fatalf("Returned GetProxyServiceTargets' amount %d is not correct", len(instances))
	}
	for _, inst := range instances {
		if inst.Service.Hostname != mock.HelloService.Hostname {
			t.Fatal("Returned Instance is incorrect")
		}
	}

	// Get Instances from mockAdapter2