code: def test_actual_results_quantile_transformer_uniform():
      """Test that the actual results are the expected ones."""
      transformer = QuantileTransformer(n_quantiles=11)
      arr_actual = transformer.fit_transform(X)
      arr_desired = [np.linspace(0, 1, 11) for _ in range(3)]
      np.testing.assert_allclose(
          arr_actual, arr_desired, atol=1e-5, rtol=0.0
      )
  
imports: import numpy
  from scipy.stats import boxcox, norm, yeojohnson
  from pyts.preprocessing import StandardScaler
  from pyts.preprocessing import PowerTransformer, QuantileTransformer
label_desc: Use image node_id 3 for calling a global function with example usage: test_actual_results_quantile_transformer_uniform() without return types