code: def load_diabetes_dataset():
      # Load the diabetes dataset from sklearn
      diabetes_X, diabetes_y = load_diabetes(return_X_y=True)
      X = pd.DataFrame(diabetes_X)
      y = pd.DataFrame(diabetes_y)
      return X, y
  
file_path: feature_engine/tests/test_selection/conftest.py
imports: import random
  import numpy
  import pandas
  import pytest
  from sklearn.datasets import load_diabetes, make_classification
label_desc: Use image node_id 2 for calling a global function with example usage: load_diabetes_dataset() and returns: X,  y