TF_Tensor* out = csession.output_tensor(0);
  ASSERT_TRUE(out != nullptr);
  EXPECT_EQ(TF_INT32, TF_TensorType(out));
  EXPECT_EQ(0, TF_NumDims(out));  // scalar
  ASSERT_EQ(sizeof(int32), TF_TensorByteSize(out));
  int32* output_contents = static_cast<int32*>(TF_TensorData(out));
  EXPECT_EQ(3 + 2, *output_contents);

  // Add another operation to the graph.
  TF_Operation* neg = Neg(add, graph, s);

//
//	LTYPEM cond reg ',' reg ',' regreg
//	{
//		outcode($1, $2, &$3, int32($5.Reg), &$7);
//	}
	MULL	R1, R2, (R3,R4)

//
// MULA r1,r2,r3,r4: (r1*r2+r3) & 0xffffffff . r4
// MULAW{T,B} r1,r2,r3,r4
//
//	LTYPEN cond reg ',' reg ',' reg ',' spreg
//	{
//		$7.Type = obj.TYPE_REGREG2;
//		$7.Offset = int64($9);
//		outcode($1, $2, &$3, int32($5.Reg), &$7);
//	}
	MULAWT	R1, R2, R3, R4
//
// PLD
//

			},
			Prefixes: []string{"bbb_"},
		},
	}

	testCases := []struct {
		// Inputs to ListObjects.
		bucketName string
		prefix     string
		marker     string
		delimiter  string
		maxKeys    int32
		// Expected output of ListObjects.
		result ListObjectsInfo
		err    error
		// Flag indicating whether the test is expected to pass or not.
		shouldPass bool
	}{

// The calls to TF_AddInput and TF_AddInputList must match (in number,
// order, and type) the op declaration.  For example, the "Concat" op
// has registration:
//   REGISTER_OP("Concat")
//       .Input("concat_dim: int32")
//       .Input("values: N * T")
//       .Output("output: T")
//       .Attr("N: int >= 2")
//       .Attr("T: type");
// that defines two inputs, "concat_dim" and "values" (in that order).

		return !strings.ContainsAny(volname, `\:*?\"<>|`)
	}

	return true
}

// xlStorage - implements StorageAPI interface.
type xlStorage struct {
	// Indicate of NSScanner is in progress in this disk
	scanning int32

	drivePath string
	endpoint  Endpoint

	globalSync bool
	oDirect    bool // indicates if this disk supports ODirect

	diskID string

	formatFileInfo  os.FileInfo
	formatFile      string