auto compilation_result2 = std::make_unique<XlaCompiler::CompilationResult>();
  auto executable1 = std::make_unique<FakeExecutable>("foo_exe");
  auto executable2 = std::make_unique<FakeExecutable>("bar_exe");
  cache->Store(key1, DeviceCompileState::kCompiled,
               errors::InvalidArgument("Invalid argument."),
               std::move(compilation_result1), std::move(executable1));

              executable.get());

      int64_t hlo_module_size = 0;
      if (compilation_result != nullptr &&
          compilation_result->computation != nullptr) {
        hlo_module_size =
            compilation_result->computation->proto().ByteSizeLong();
      }

      return absl::StrCat(

}

// NewClaimsMapper returns a new ClaimsMapper.
func NewClaimsMapper(compilationResults []CompilationResult) ClaimsMapper {
	return &mapper{
		compilationResults: compilationResults,
	}
}

// NewUserMapper returns a new UserMapper.
func NewUserMapper(compilationResults []CompilationResult) UserMapper {
	return &mapper{
		compilationResults: compilationResults,
	}
}

	va := map[string]interface{}{
		"request": convertObjectToUnstructured(&r.Spec),
	}
	for _, compilationResult := range c.CompilationResults {
		evalResult, _, err := compilationResult.Program.ContextEval(ctx, va)
		if err != nil {
			evalErrors = append(evalErrors, fmt.Errorf("cel evaluation error: expression '%v' resulted in error: %w", compilationResult.ExpressionAccessor.GetExpression(), err))
			continue
		}

    const std::vector<XlaCompiler::Argument>& args,
    DeviceCompileMode compile_mode, bool has_ref_vars,
    bool may_alias_resource_update, FunctionLibraryRuntime* flr,
    ResourceMgr* rm, const XlaCompiler::CompilationResult** compilation_result,
    xla::PjRtClient** client, xla::PjRtLoadedExecutable** executable) {
  PjRtDeviceCompiler* pjrt_device_compiler;
  DeviceCompilationProfiler* profiler;

      DeviceCompileMode::kStrict, /*has_ref_vars=*/true,
      /*may_alias_resource_update=*/true, device_setup.flr(), &resource_mgr,
      &compilation_result, &pjrt_client, &pjrt_executable));

  EXPECT_TRUE(compilation_result != nullptr);
  EXPECT_TRUE(pjrt_executable != nullptr);
  EXPECT_TRUE(pjrt_client != nullptr);
}

TEST(PjrtCompileUtilTest, CompileToPjRtLoadedExecutableWithOpKernelContext) {
  DeviceSetup device_setup;

    const NameAttrList& function,
    const std::vector<XlaCompiler::Argument>& args,
    DeviceCompileMode compile_mode, bool has_ref_vars,
    bool may_alias_resource_update,
    const XlaCompiler::CompilationResult** compilation_result,
    xla::PjRtClient** client, xla::PjRtLoadedExecutable** executable);

// Similar to the above function but it does not take a OpKernelContext.
// Instead, it takes the following arguments that are obtained from

// in the compilation_result.
absl::StatusOr<std::string> CompileFromMlirToXlaHlo(
    bool lower_to_xla_hlo, const tpu::MlirToHloArgs& computation,
    const tpu::TPUCompileMetadataProto& metadata, llvm::StringRef device_type,
    const XlaShapeLayoutHelpers::ShapeDeterminationFns& shape_determination_fns,
    bool use_tuple_args, XlaCompiler::CompilationResult* compilation_result,

    std::vector<tpu::ShardingAndIndex>* arg_core_mapping,
    std::vector<std::vector<xla::Shape>>* per_core_arg_shapes,
    xla::CompileOnlyClient* client,
    XlaCompiler::CompilationResult* compilation_result);

}  // namespace v1
}  // namespace tf2xla
};  // namespace tensorflow

  }

  DisableXlaCompilation();

  xla::LocalClient* client = xla::ClientLibrary::LocalClientOrDie();
  DeviceType device_type = DeviceType(DEVICE_CPU_XLA_JIT);

  const XlaCompiler::CompilationResult* compilation_result;
  xla::LocalExecutable* executable;

  using XlaDeviceExecutablePersistor =
      DeviceExecutablePersistor<xla::LocalExecutable, xla::LocalClient>;