code: def test_set_lags_when_lags_argument_is_a_dict():
      """
      Test how lags and max_lag attributes change when lags argument is a dict.
      """
      forecaster = ForecasterAutoregMultiVariate(
          LinearRegression(), level="l1", lags=3, steps=2
      )
      forecaster.set_lags(lags={"l1": 3, "l2": [1, 5]})
  
      assert (forecaster.lags["l1"] == np.array([1, 2, 3])).all()
      assert (forecaster.lags["l2"] == np.array([1, 5])).all()
      assert forecaster.max_lag == 5
  
file_path: skforecast/skforecast/ForecasterAutoregMultiVariate/tests/test_set_lags.py
imports: import re
  import pytest
  import numpy
  import pandas
  from skforecast.ForecasterAutoregMultiVariate import ForecasterAutoregMultiVariate
  from sklearn.linear_model import LinearRegression
label_desc: Use image node_id 4 for calling a global function with example usage: test_set_lags_when_lags_argument_is_a_dict() without return types