code: def test_given_data_where_mechanism_changed_when_apply_mechanism_change_test_then_returns_correct_p_values():
      X0_org = np.random.uniform(-1, 1, 500)
      X1_org = 0.5 * X0_org + np.random.normal(0, 0.1, 500)
  
      X0_new = np.random.uniform(-1, 1, 500)
      X1_new = 2 * X0_new + np.random.normal(0, 0.1, 500)
  
      assert (
          mechanism_change_test(X1_org, X1_new, X0_org, X0_new) <= 0.05
      )
      assert (
          mechanism_change_test(X1_org, X1_org, X0_org, X0_org) > 0.05
      )
  
imports: import networkx
  import numpy
  import pandas
  from flaky import flaky
  from pytest import approx
  from dowhy.gcm import AdditiveNoiseModel, EmpiricalDistribution, ProbabilisticCausalModel, distribution_change, distribution_change_of_graphs, fit
  from dowhy.gcm.auto import AssignmentQuality
  from dowhy.gcm.distribution_change import mechanism_change_test
  from dowhy.gcm.ml import create_linear_regressor
  from dowhy.gcm.shapley import ShapleyConfig
label_desc: Use image node_id 9 for calling a global function with example usage: test_given_data_where_mechanism_changed_when_apply_mechanism_change_test_then_returns_correct_p_values() without return types