code: def test_xshardstsdataset_initialization(self):
      shards_single = read_csv(
          os.path.join(self.resource_path, "single.csv")
      )
      tsdata = XShardsTSDataset.from_xshards(
          shards_single,
          dt_col="datetime",
          target_col="value",
          extra_feature_col=["extra feature"],
          id_col="id",
      )
      assert tsdata._id_list == [0]
      assert tsdata.feature_col == ["extra feature"]
      assert tsdata.target_col == ["value"]
      assert tsdata.dt_col == "datetime"
      assert tsdata.shards.num_partitions() == 1
  
      tsdata = XShardsTSDataset.from_xshards(
          shards_single,
          dt_col="datetime",
          target_col=["value"],
          extra_feature_col="extra feature",
          id_col="id",
      )
      assert tsdata._id_list == [0]
      assert tsdata.feature_col == ["extra feature"]
      assert tsdata.target_col == ["value"]
      assert tsdata.dt_col == "datetime"
      assert tsdata.shards.num_partitions() == 1
  
      tsdata = XShardsTSDataset.from_xshards(
          shards_single,
          dt_col="datetime",
          target_col=["value"],
          extra_feature_col="extra feature",
      )
      assert tsdata._id_list == ["0"]
      assert tsdata.feature_col == ["extra feature"]
      assert tsdata.target_col == ["value"]
      assert tsdata.dt_col == "datetime"
      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 4 for calling the TestXShardsTSDataset obj's underlying member method code with example usage: obj.test_xshardstsdataset_initialization() without return types