c := &api.ComponentCondition{
		Type:    api.ComponentHealthy,
		Status:  ToConditionStatus(status),
		Message: msg,
		Error:   errorMsg,
	}

	retVal := &api.ComponentStatus{
		Conditions: []api.ComponentCondition{*c},
	}
	retVal.Name = name

	return retVal
}

// Implement ShortNamesProvider
var _ rest.ShortNamesProvider = &REST{}

int run() {
	val = 1;
	GoRun();
	return val;
}

void setVal(int) __attribute__ ((weak));

void setVal(int i) {
	val = i;
}
*/
import "C"

import "runtime"

//export GoRun
func GoRun() {
	runtime.LockOSThread()
	c := make(chan bool)
	go func() {
		runtime.LockOSThread()
		C.setVal(2)
		c <- true
	}()
	<-c
}

func main() {
	if v := C.run(); v != 2 {

			}
			retVal = thisVal
		case 3: // match something like aaa[100]
			thisVal := val[match[1]]
			// If it is a list and looking for more down the path
			if thisVal.GetListValue() != nil && len(path) > 1 {
				index, _ := strconv.Atoi(match[2])
				return getConfigValue(path[1:], thisVal.GetListValue().Values[index].GetStructValue().Fields)
			}
			retVal = thisVal
		}
	}
	return retVal
}

  EXPECT_EQ(TF_OK, TF_GetCode(status)) << TF_Message(status);

  TFE_TensorHandle* retvals[1];
  int num_retvals = 1;
  TFE_Execute(matmul, &retvals[0], &num_retvals, status);
  EXPECT_EQ(TF_OK, TF_GetCode(status)) << TF_Message(status);

  TF_Tensor* t = TFE_TensorHandleResolve(retvals[0], status);
  ASSERT_EQ(TF_OK, TF_GetCode(status)) << TF_Message(status);
  float product[4] = {0};

    // The input handles should never change since they have been mirrored.
    ASSERT_FALSE(remote_arg->HasLocalMirror(nullptr));
  }

  TFE_TensorHandle* retvals[1];
  int num_retvals = 1;
  TFE_Execute(matmul, &retvals[0], &num_retvals, status);
  EXPECT_EQ(TF_GetCode(status), TF_OK) << TF_Message(status);

  // TODO(gjn): Add support for waiting on async local mirrors

		},
	}
}

func createTestStatus(name string, status api.ConditionStatus, msg string, err string) *api.ComponentStatus {
	retVal := &api.ComponentStatus{
		Conditions: []api.ComponentCondition{
			{Type: api.ComponentHealthy, Status: status, Message: msg, Error: err},
		},
	}
	retVal.Name = name
	return retVal
}

func TestList_NoError(t *testing.T) {
	r := NewTestREST(testResponse{result: probe.Success, data: "ok"})

func newFloat() *big.Float { return new(big.Float).SetPrec(prec) }

//go:noinline
//go:registerparams
func itor(x intVal) ratVal       { return ratVal{nil} }

//go:noinline
//go:registerparams
func itof(x intVal) floatVal     { return floatVal{nil} }
func rtof(x ratVal) floatVal     { return floatVal{newFloat().SetRat(x.val)} }

type Value interface {
	String() string
}

//go:noinline
//go:registerparams

    for (auto input : inputs) {
      TF_RETURN_IF_ERROR(fn_op->AddInput(input));
    }
    int retvals = outputs.size() - null_indices.size();
    std::vector<AbstractTensorHandle*> fn_outputs(retvals);
    TF_RETURN_IF_ERROR(fn_op->Execute(
        absl::Span<AbstractTensorHandle*>(fn_outputs.data(), fn_outputs.size()),
        &retvals));
    int skipped_indices = 0;
    for (int i = 0; i < outputs.size(); i++) {

// CHECK-NEXT:    "tf.IfrtCall"(%arg0, [[ARRAYKEY]]) <{program_id = 6515870160938153680 : i64, variable_arg_indices = [1 : i32]}> {__tpu_compile_metadata_text = "retvals { sharding { } }"} : (tensor<1x3xf32>, tensor<!tf_type.string>) -> tensor<1x1xf32>
// CHECK-NEXT:    return
//
 func.func @serving_default(%arg0: tensor<1x3xf32>) -> tensor<1x1xf32> {

  input: "input"
}

library {
  function {
    signature {
      name: "func_name"
      input_arg {
        name: "arg0"
        type: DT_BOOL
      }
    }
    ret {
      key: "retval0"
      value: "arg0"
    }
    attr: {
      key: "_input_shapes"
      value: {
      }
    }
  }