code: def test_dlt_map_global_trend(make_weekly_data, global_trend_option):
      train_df, test_df, coef = make_weekly_data
  
      dlt = DLT(
          response_col="response",
          date_col="week",
          seasonality=52,
          global_trend_option=global_trend_option,
          estimator="stan-map",
      )
  
      dlt.fit(train_df)
      predict_df = dlt.predict(test_df)
  
      expected_columns = ["week", "prediction"]
      expected_shape = (51, len(expected_columns))
      assert predict_df.shape == expected_shape
      assert predict_df.columns.tolist() == expected_columns
  
imports: from copy import copy
  import pytest
  import numpy
  from orbit.models import DLT
  from orbit.constants.constants import PredictionKeys
  from orbit.exceptions import ModelException, PredictionException
label_desc: Use image node_id 10 for calling a global function with example usage: test_dlt_map_global_trend(make_weekly_data, global_trend_option) without return types