code: def test_tsppl_mixed_data_type_usage(self):
      # This ckpt is generated by fit on a data creator
      tsppl_lstm = TSPipeline.load(
          os.path.join(self.resource_path, "tsppl_ckpt/lstm_tsppl_ckpt")
      )
      with pytest.raises(RuntimeError):
          yhat = tsppl_lstm.predict(
              data=get_test_tsdataset(), batch_size=16
          )
  
imports: import numpy
  from unittest import TestCase
  import pytest
  from bigdl.chronos.utils import LazyImport
  import os
  import pandas
  import numpy
  from bigdl.chronos.data import TSDataset
  from ..None import op_torch, op_inference
label_desc: Use image node_id 6 for calling the TestTSPipeline obj's underlying member method code with example usage: obj.test_tsppl_mixed_data_type_usage() without return types