code: def load_diabetes(return_X_y=False):
      """Load and return the diabetes dataset (regression).
  
      ==============      ==================
      Samples total       442
      Dimensionality      10
      Features            real, -.2 < x < .2
      Targets             integer 25 - 346
      ==============      ==================
  
      Read more in the :ref:`User Guide <datasets>`.
  
      Parameters
      ----------
      return_X_y : boolean, default=False.
          If True, returns ``(data, target)`` instead of a Bunch object.
          See below for more information about the `data` and `target` object.
  
          .. versionadded:: 0.18
  
      Returns
      -------
      data : Bunch
          Dictionary-like object, the interesting attributes are:
          'data', the data to learn and 'target', the regression target for each
          sample.
  
      (data, target) : tuple if ``return_X_y`` is True
  
          .. versionadded:: 0.18
      """
      base_dir = join(datasets_dir(), "data")
      data = np.loadtxt(join(base_dir, "diabetes_data.csv.gz"))
      target = np.loadtxt(join(base_dir, "diabetes_target.csv.gz"))
  
      if return_X_y:
          return data, target
  
      return Bunch(data=data, target=target)
  
imports: import os
  import csv
  import sys
  import shutil
  from os import environ
  from os.path import dirname
  from os.path import join
  from os.path import exists
  from os.path import expanduser
  from os.path import isdir
  from os.path import splitext
  from os import listdir
  from os import makedirs
  import numpy
  from ..utils import check_random_state
label_desc: Use image node_id 8 for calling a global function with example usage: load_diabetes(return_X_y) and returns: Bunch, data,  target