code: def test_train_test_split():
      (
          X_train,
          X_test,
          y_train,
          y_test,
      ) = dask_ml.model_selection.train_test_split(dX, dy)
  
      assert len(X_train) == 99
      assert len(X_test) == 11
  
      assert X_train.chunks[0] == y_train.chunks[0]
      assert X_test.chunks[0] == y_test.chunks[0]
  
imports: import dask.array
  import dask.dataframe
  import numpy
  import pandas
  import pytest
  from sklearn.datasets import fetch_20newsgroups, make_regression
  import dask_ml.model_selection
  from dask_ml._compat import DASK_2130
label_desc: Use image node_id 5 for calling a global function with example usage: test_train_test_split() without return types