code: def test_actual_results(params):
      """Test that the actual results are the expected ones."""
      arr_actual = SymbolicFourierApproximation(**params).fit_transform(
          X, y
      )
      arr_desired = _compute_expected_results(X, y, **params)
      np.testing.assert_array_equal(arr_actual, arr_desired)
  
imports: import numpy
  import pytest
  from sklearn.feature_selection import f_classif
  from pyts.approximation import MultipleCoefficientBinning
  from pyts.approximation import SymbolicFourierApproximation
label_desc: Use image node_id 2 for calling a global function with example usage: test_actual_results(params) without return types