code: def test_Sarimax_params_numpy():
      """
      Test Sarimax params after fit with numpy `y` and `exog`.
      """
  
      sarimax_sk = Sarimax(order=(3, 2, 0), disp=0)
      sarimax_sk.fit(y=y_numpy, exog=exog_numpy)
  
      sarimax_sm = SARIMAX(
          order=(3, 2, 0), endog=y_numpy, exog=exog_numpy
      )
      sarimax_res = sarimax_sm.fit(disp=0)
  
      results_skforecast = sarimax_sk.params()
      results_statsmodels = sarimax_res.params
  
      # expected = np.array([0.46809671, 0.24916836, 0.45027591, 0.0105501 ])
  
      # np.testing.assert_almost_equal(results_skforecast, expected)
      # np.testing.assert_almost_equal(results_statsmodels, expected)
      np.testing.assert_almost_equal(
          results_skforecast, results_statsmodels
      )
  
imports: import re
  import pytest
  import numpy
  import pandas
  from sklearn.exceptions import NotFittedError
  from skforecast.Sarimax import Sarimax
  from statsmodels.tsa.statespace.sarimax import SARIMAX
  from statsmodels.tsa.statespace.sarimax import SARIMAXResults
  from statsmodels.tsa.statespace.sarimax import SARIMAXResultsWrapper
  from .fixtures_Sarimax import y
  from .fixtures_Sarimax import y_lw
  from .fixtures_Sarimax import exog
  from .fixtures_Sarimax import exog_lw
  from .fixtures_Sarimax import exog_predict
  from .fixtures_Sarimax import exog_lw_predict
  from .fixtures_Sarimax import y_datetime
  from .fixtures_Sarimax import exog_datetime
  from .fixtures_Sarimax import exog_predict_datetime
label_desc: Use image node_id 21 for calling a global function with example usage: test_Sarimax_params_numpy() without return types