}

type Timex struct {
	Modes     uint32
	_         [4]byte
	Offset    int64
	Freq      int64
	Maxerror  int64
	Esterror  int64
	Status    int32
	_         [4]byte
	Constant  int64
	Precision int64
	Tolerance int64
	Time      Timeval
	Tick      int64
	Ppsfreq   int64
	Jitter    int64
	Shift     int32
	_         [4]byte
	Stabil    int64
	Jitcnt    int64
	Calcnt    int64
	Errcnt    int64

                           "type: opStatus = "
                        << static_cast<int>(status);
      return nullptr;
    }
    if (loses_info) {
      op->emitWarning("Conversion of epsilon loses precision");
    }
    epsilon_attr = b.getFloatAttr(fp_type, epsilon_float);
  }

  auto scalar_type = RankedTensorType::get(/*shape=*/{}, fp_type);
  auto epsilon_tensor_attr = DenseElementsAttr::get(

	dur := pd.AsDuration()
	if dur < time.Millisecond {
		return errors.New("duration must be greater than 1ms")
	}
	if dur%time.Millisecond != 0 {
		return errors.New("only durations to ms precision are supported")
	}
	return nil
}

// ValidateDurationRange verifies range is in specified duration
func ValidateDurationRange(dur, min, max time.Duration) error {
	if dur > max || dur < min {

type Timeval struct {
	Sec  int64
	Usec int64
}

type Timex struct {
	Modes     uint32
	Offset    int64
	Freq      int64
	Maxerror  int64
	Esterror  int64
	Status    int32
	Constant  int64
	Precision int64
	Tolerance int64
	Time      Timeval
	Tick      int64
	Ppsfreq   int64
	Jitter    int64
	Shift     int32
	Stabil    int64
	Jitcnt    int64
	Calcnt    int64
	Errcnt    int64
	Stbcnt    int64

}

type Timex struct {
	Modes     uint32
	Pad_cgo_0 [4]byte
	Offset    int64
	Freq      int64
	Maxerror  int64
	Esterror  int64
	Status    int32
	Pad_cgo_1 [4]byte
	Constant  int64
	Precision int64
	Tolerance int64
	Time      Timeval
	Tick      int64
	Ppsfreq   int64
	Jitter    int64
	Shift     int32
	Pad_cgo_2 [4]byte
	Stabil    int64
	Jitcnt    int64
	Calcnt    int64
	Errcnt    int64

}

type Timex struct {
	Modes     uint32
	Pad_cgo_0 [4]byte
	Offset    int64
	Freq      int64
	Maxerror  int64
	Esterror  int64
	Status    int32
	Pad_cgo_1 [4]byte
	Constant  int64
	Precision int64
	Tolerance int64
	Time      Timeval
	Tick      int64
	Ppsfreq   int64
	Jitter    int64
	Shift     int32
	Pad_cgo_2 [4]byte
	Stabil    int64
	Jitcnt    int64
	Calcnt    int64
	Errcnt    int64

type RowsColumnTypeNullable interface {
	Rows
	ColumnTypeNullable(index int) (nullable, ok bool)
}

// RowsColumnTypePrecisionScale may be implemented by [Rows]. It should return
// the precision and scale for decimal types. If not applicable, ok should be false.
// The following are examples of returned values for various types:
//
//	decimal(38, 4)    (38, 4, true)
//	int               (0, 0, false)

		New   metav1.MicroTime
		Valid bool
	}{
		{
			Name:  "noop microsecond precision",
			Old:   metav1.NewMicroTime(time.Unix(100, int64(5*time.Microsecond))),
			New:   metav1.NewMicroTime(time.Unix(100, int64(5*time.Microsecond))),
			Valid: true,
		},
		{
			Name:  "noop nanosecond precision",
			Old:   metav1.NewMicroTime(time.Unix(100, int64(5*time.Nanosecond))),

  let constructor = "CreateLegalizeTensorListPass()";
  let dependentDialects = ["TFL::TensorFlowLiteDialect"];
}

def ReduceTypePrecisionPass : Pass<"tfl-reduce-type-precision", "mlir::ModuleOp"> {
  let summary = "Reduce some tensor types' precision if all values are within range.";
  let constructor = "CreateReduceTypePrecisionPass()";
  let dependentDialects = ["TFL::TensorFlowLiteDialect"];
}

type Timeval struct {
	Sec  int32
	Usec int32
}

type Timex struct {
	Modes     uint32
	Offset    int32
	Freq      int32
	Maxerror  int32
	Esterror  int32
	Status    int32
	Constant  int32
	Precision int32
	Tolerance int32
	Time      Timeval
	Tick      int32
	Ppsfreq   int32
	Jitter    int32
	Shift     int32
	Stabil    int32
	Jitcnt    int32
	Calcnt    int32
	Errcnt    int32
	Stbcnt    int32