code: def get_data_slice(chunk, count):
      assert chunk < count
      X, y = load_digits(return_X_y=True)
      n_samples, _ = X.shape
      size = n_samples // count
      first = chunk * size
      last = first + size
      return (X[first:last, :], y[first:last])
  
file_path: scikit-learn-intelex/examples/sklearnex/kmeans_spmd.py
imports: from warnings import warn
  import dpctl.tensor
  import numpy
  from dpctl import SyclQueue
  from mpi4py import MPI
  from sklearn.datasets import load_digits
  from onedal.spmd.cluster import KMeans
label_desc: Use image node_id 1 for calling a global function with example usage: get_data_slice(chunk, count) and returns: X,  y