code: def test_feature_extraction(self):
      df = pd.DataFrame(
          {
              "my_id": [1, 1, 1, 2, 2, 2],
              "my_kind": ["a"] * 6,
              "my_value": [1, 2, 3, 4, 5, 6],
          }
      )
  
      df = dd.from_pandas(df, chunksize=3)
  
      df_grouped = df.groupby(["my_id", "my_kind"])
  
      features = dask_feature_extraction_on_chunk(
          df_grouped,
          column_id="my_id",
          column_kind="my_kind",
          column_value="my_value",
          column_sort=None,
          default_fc_parameters=MinimalFCParameters(),
      )
  
      features = features.compute()
  
      self.assertEqual(
          list(sorted(features.columns)), ["my_id", "value", "variable"]
      )
      self.assertEqual(len(features), 2 * len(MinimalFCParameters()))
  
imports: from unittest import TestCase
  import pandas
  from dask import dataframe
  from tsfresh.convenience.bindings import dask_feature_extraction_on_chunk
  from tsfresh.feature_extraction.settings import MinimalFCParameters
label_desc: Use image node_id 1 for calling the DaskBindingsTestCase obj's underlying member method code with example usage: obj.test_feature_extraction() without return types