code: def random_xy_dataset_regr(request):
      n, k, np_type = request.param
      np.random.seed(42)
      X = np.random.normal(0, 2, (n, k)).astype(np_type)
      y = np.random.normal(0, 2, (n,))
      return X, y
  
file_path: scikit-lego/tests/conftest.py
imports: import itertools
  import numpy
  import pandas
  import pytest
  from sklearn.utils import estimator_checks
label_desc: Use image node_id 2 for calling a global function with example usage: random_xy_dataset_regr(request) and returns: X,  y