code: def Xl_blobs_easy():
      """
      Tuple of (X, labels) for classification.
  
      The centers are very spread out, so the clustering is easy.
      """
      centers = np.array([[-7, -7], [0, 0], [7, 7]])
      X, y = make_blobs(
          cluster_std=0.1, centers=centers, chunks=50, random_state=0
      )
      return X, y
  
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 6 for calling a global function with example usage: Xl_blobs_easy() and returns: X,  y