code: def test_xshardstsdataset_sparkdf(self):
      df = generate_spark_df()
  
      # with id
      tsdata = XShardsTSDataset.from_sparkdf(
          df, dt_col="date", target_col="feature", id_col="id"
      )
      tsdata.roll(lookback=4, horizon=2)
      data = tsdata.to_xshards(partition_num=5)
      data_collected = data.collect()
      assert data_collected[0]["x"].shape[1] == 4
      assert data_collected[0]["x"].shape[2] == 1
      assert data_collected[0]["y"].shape[1] == 2
      assert data_collected[0]["y"].shape[2] == 1
      assert data.num_partitions() == 5
      assert "id" in data.collect()[0].keys()
      assert tsdata.shards.num_partitions() == 2
  
      # with only 1 id
      tsdata = XShardsTSDataset.from_sparkdf(
          df, dt_col="date", target_col="feature"
      )
      tsdata.roll(lookback=4, horizon=2)
      data = tsdata.to_xshards().collect()
      assert data[0]["x"].shape[1] == 4
      assert data[0]["x"].shape[2] == 1
      assert data[0]["y"].shape[1] == 2
      assert data[0]["y"].shape[2] == 1
      assert tsdata.shards.num_partitions() == 1
  
imports: import pytest
  import numpy
  import pandas
  import random
  import os
  from unittest import TestCase
  from bigdl.chronos.data import TSDataset
  from bigdl.chronos.utils import LazyImport
  from ...None import op_torch, op_distributed
  from pandas.testing import assert_frame_equal
  from numpy.testing import assert_array_almost_equal
label_desc: Use image node_id 12 for calling the TestXShardsTSDataset obj's underlying member method code with example usage: obj.test_xshardstsdataset_sparkdf() without return types