code: def test_given_continuous_conditionally_independent_data_when_perform_approx_kernel_based_test_then_not_reject():
      z = np.random.randn(5000, 1)
      x = np.exp(z + np.random.rand(5000, 1))
      y = np.exp(z + np.random.rand(5000, 1))
  
      assert (
          approx_kernel_based(
              x,
              y,
              z,
              num_random_features_X=10,
              num_random_features_Y=10,
              num_random_features_Z=10,
          )
          > 0.05
      )
  
imports: import random
  import numpy
  import pytest
  from flaky import flaky
  from dowhy.gcm.independence_test import approx_kernel_based, kernel_based
label_desc: Use image node_id 8 for calling a global function with example usage: test_given_continuous_conditionally_independent_data_when_perform_approx_kernel_based_test_then_not_reject() without return types