code: def Xl_blobs():
      """
      Tuple of (X, labels) for a classification task. `X`
      and `l` are both dask arrays
      """
      X, l = make_classification(
          n_samples=1000, n_features=4, chunks=500, random_state=1
      )
      return X, l
  
imports: import contextlib
  import string
  import dask.dataframe
  import numpy
  import pytest
  from distributed.utils_test import cluster
  from dask_ml.datasets import make_blobs, make_classification, make_counts, make_regression
label_desc: Use image node_id 5 for calling a global function with example usage: Xl_blobs() and returns: X,  l