code: def test_make_classification_df():
      X_df, y_series = dask_ml.datasets.make_classification_df(
          n_samples=100,
          n_features=5,
          random_state=123,
          chunks=100,
          dates=(date(2014, 1, 1), date(2015, 1, 1)),
      )
  
      assert X_df is not None
      assert y_series is not None
      assert "date" in X_df.columns
      assert len(X_df.columns) == 6
      assert len(X_df) == 100
      assert len(y_series) == 100
      assert isinstance(y_series, dask.dataframe.core.Series)
  
file_path: dask-ml/tests/test_datasets.py
imports: from datetime import date
  import dask
  import dask.array
  import numpy
  import pytest
  from dask.array.utils import assert_eq
  import dask_ml.datasets
label_desc: Use image node_id 4 for calling a global function with example usage: test_make_classification_df() without return types