code: def test_get_trend_changes_from_adaptive_lasso():
      x = np.random.randn(20, 5)
      y = np.random.randn(20)
      intercept, coef = adaptive_lasso_cv(
          x=x, y=y, initial_coef="ridge"
      )
      changepoipnt_dates = pd.Series(
          [dt(2020, 1, i) for i in range(1, 21)]
      )
      changepoints, coefs = get_trend_changes_from_adaptive_lasso(
          x=x,
          y=y,
          changepoint_dates=changepoipnt_dates,
          initial_coef="ridge",
      )
      assert intercept == coefs[0]
      assert np.array_equal(coef, coefs[1])
      assert changepoints is not None
      # test given adaptive lasso lambda
      intercept, coef = adaptive_lasso_cv(
          x=x, y=y, initial_coef="ridge", regularization_strength=1.0
      )
      changepoints, coefs = get_trend_changes_from_adaptive_lasso(
          x=x,
          y=y,
          changepoint_dates=changepoipnt_dates,
          initial_coef="ridge",
          regularization_strength=1.0,
      )
      assert intercept == coefs[0]
      assert np.array_equal(coef, coefs[1])
      assert changepoints is not None
  
imports: from datetime import datetime
  import numpy
  import pandas
  import pytest
  from greykite.algo.changepoint.adalasso.changepoints_utils import adaptive_lasso_cv
  from greykite.algo.changepoint.adalasso.changepoints_utils import build_seasonality_feature_df_from_detection_result
  from greykite.algo.changepoint.adalasso.changepoints_utils import build_seasonality_feature_df_with_changes
  from greykite.algo.changepoint.adalasso.changepoints_utils import build_trend_feature_df_with_changes
  from greykite.algo.changepoint.adalasso.changepoints_utils import check_freq_unit_at_most_day
  from greykite.algo.changepoint.adalasso.changepoints_utils import combine_detected_and_custom_trend_changepoints
  from greykite.algo.changepoint.adalasso.changepoints_utils import compute_fitted_components
  from greykite.algo.changepoint.adalasso.changepoints_utils import compute_min_changepoint_index_distance
  from greykite.algo.changepoint.adalasso.changepoints_utils import estimate_seasonality_with_detected_changepoints
  from greykite.algo.changepoint.adalasso.changepoints_utils import estimate_trend_with_detected_changepoints
  from greykite.algo.changepoint.adalasso.changepoints_utils import filter_changepoints
  from greykite.algo.changepoint.adalasso.changepoints_utils import find_neighbor_changepoints
  from greykite.algo.changepoint.adalasso.changepoints_utils import get_changes_from_beta
  from greykite.algo.changepoint.adalasso.changepoints_utils import get_seasonality_changepoint_df_cols
  from greykite.algo.changepoint.adalasso.changepoints_utils import get_seasonality_changes_from_adaptive_lasso
  from greykite.algo.changepoint.adalasso.changepoints_utils import get_trend_changepoint_dates_from_cols
  from greykite.algo.changepoint.adalasso.changepoints_utils import get_trend_changes_from_adaptive_lasso
  from greykite.algo.changepoint.adalasso.changepoints_utils import get_yearly_seasonality_changepoint_dates_from_freq
  from greykite.algo.changepoint.adalasso.changepoints_utils import plot_change
  from greykite.common.testing_utils import generate_df_for_tests
label_desc: Use image node_id 10 for calling a global function with example usage: test_get_trend_changes_from_adaptive_lasso() without return types