code: def test_stl_kwargs_smoke(data):
      stl_kwargs = {
          "period": 12,
          "seasonal": 15,
          "trend": 17,
          "low_pass": 15,
          "seasonal_deg": 0,
          "trend_deg": 1,
          "low_pass_deg": 1,
          "seasonal_jump": 2,
          "trend_jump": 2,
          "low_pass_jump": 3,
          "robust": False,
          "inner_iter": 3,
          "outer_iter": 3,
      }
      periods = (5, 6, 7)
      mod = MSTL(
          endog=data,
          periods=periods,
          lmbda="auto",
          stl_kwargs=stl_kwargs,
      )
      mod.fit()
  
file_path: statsmodels/statsmodels/tsa/stl/tests/test_mstl.py
imports: from pathlib import Path
  from numpy.testing import assert_allclose, assert_equal
  import pandas
  import pytest
  from statsmodels.tsa.seasonal import MSTL
label_desc: Use image node_id 10 for calling a global function with example usage: test_stl_kwargs_smoke(data) without return types