"The output variant hasn't been initialized");
  }

  if (a.TypeId() != b.TypeId()) {
    return ::tensorflow::errors::Internal(
        "BinaryOpVariants: Variants a and b have different "
        "type ids.  Type names: '",
        a.TypeName(), "' vs. '", b.TypeName(), "'");
  }

  if (a.TypeId() == tensorflow::TypeIndex::Make<::tensorflow::TensorList>()) {

	{CaseName: Name(""), in: `{"X": [1,2,3], "Y": 4}`, ptr: new(T), out: T{Y: 4}, err: &UnmarshalTypeError{"array", reflect.TypeFor[string](), 7, "T", "X"}},
	{CaseName: Name(""), in: `{"X": 23}`, ptr: new(T), out: T{}, err: &UnmarshalTypeError{"number", reflect.TypeFor[string](), 8, "T", "X"}},
	{CaseName: Name(""), in: `{"x": 1}`, ptr: new(tx), out: tx{}},
	{CaseName: Name(""), in: `{"x": 1}`, ptr: new(tx), out: tx{}},

}

func Set[T any](t TypeMap, v T) {
	interfaceType := reflect.TypeOf((*T)(nil)).Elem()
	t.inner[interfaceType] = v
}

func Get[T any](t TypeMap) *T {
	v, f := t.inner[reflect.TypeFor[T]()]
	if f {
		return ptr.Of(v.(T))
	}
	return nil

#include "mlir/Support/LLVM.h"  // from @llvm-project

namespace tfrt {
namespace fallback {

FallbackDialect::FallbackDialect(MLIRContext *context)
    : Dialect(/*name=*/"tfrt_fallback", context,
              TypeID::get<FallbackDialect>()) {
  addTypes<TFTensorType, TFAllocatorType>();

  addOperations<
#define GET_OP_LIST
#include "tensorflow/compiler/mlir/tfrt/ir/tfrt_fallback.cpp.inc"
      >();
}

namespace tfrt {
namespace fallback_sync {

FallbackSyncDialect::FallbackSyncDialect(MLIRContext *context)
    : Dialect(/*name=*/"tfrt_fallback_sync", context,
              TypeID::get<FallbackSyncDialect>()) {
  context->getOrLoadDialect<tfrt::fallback::FallbackDialect>();
  context->getOrLoadDialect<compiler::TFRTDialect>();
  context->getOrLoadDialect<corert::CoreRTDialect>();

	return valueTypeDecoder
}

func (p *ValueType) encode(b *buffer) {
	encodeInt64Opt(b, 1, p.typeX)
	encodeInt64Opt(b, 2, p.unitX)
}

var valueTypeDecoder = []decoder{
	nil, // 0
	// optional int64 type = 1
	func(b *buffer, m message) error { return decodeInt64(b, &m.(*ValueType).typeX) },
	// optional int64 unit = 2
	func(b *buffer, m message) error { return decodeInt64(b, &m.(*ValueType).unitX) },
}

#include "mlir/IR/PatternMatch.h"  // from @llvm-project
#include "mlir/Pass/Pass.h"  // from @llvm-project
#include "mlir/Support/LogicalResult.h"  // from @llvm-project
#include "mlir/Support/TypeID.h"  // from @llvm-project
#include "mlir/Transforms/GreedyPatternRewriteDriver.h"  // from @llvm-project
#include "stablehlo/dialect/StablehloOps.h"  // from @stablehlo  // IWYU pragma: keep

		s: [2]testStringStruct{testStringStruct{"y"}, testStringStruct{"z"}},
	})
	testHandle[testStruct](t, testStruct{0.5, "184"})
}

func testHandle[T comparable](t *testing.T, value T) {
	name := reflect.TypeFor[T]().Name()
	t.Run(fmt.Sprintf("%s/%#v", name, value), func(t *testing.T) {
		t.Parallel()

		v0 := Make(value)
		v1 := Make(value)

		if v0.Value() != v1.Value() {
			t.Error("v0.Value != v1.Value")
		}

#include "mlir/IR/BuiltinOps.h"  // from @llvm-project
#include "mlir/IR/MLIRContext.h"  // from @llvm-project
#include "mlir/Pass/Pass.h"  // from @llvm-project  // IWYU pragma: keep
#include "mlir/Support/TypeID.h"  // from @llvm-project
#include "stablehlo/dialect/StablehloOps.h"  // from @stablehlo  // IWYU pragma: keep
#include "stablehlo/dialect/VhloOps.h"  // from @stablehlo  // IWYU pragma: keep

#include "mlir/IR/SymbolTable.h"  // from @llvm-project
#include "mlir/Support/LLVM.h"  // from @llvm-project
#include "mlir/Support/LogicalResult.h"  // from @llvm-project
#include "mlir/Support/TypeID.h"  // from @llvm-project
#include "mlir/Transforms/GreedyPatternRewriteDriver.h"  // from @llvm-project
#include "tensorflow/compiler/mlir/lite/transforms/passes.h"