code: def get_diabetes():
      X, y = load_diabetes(return_X_y=True, as_frame=True)
      return X.iloc[:100, :4], y.iloc[:100]
  
imports: import os
  from collections import namedtuple
  import matplotlib.pyplot
  import numpy
  import pandas
  import pytest
  import shap
  from sklearn.datasets import load_diabetes, load_iris
  from sklearn.ensemble import RandomForestClassifier, RandomForestRegressor
  import mlflow
  from mlflow import MlflowClient
label_desc: Use image node_id 3 for calling a global function with example usage: get_diabetes() and returns: X,  y