code: def test_get_hyperparameter_grid_same_template(df, forecast_config):
      # Tests the behavior of using the same ``model_template`` to override.
      template = MultistageForecastTemplate()
      template.df = df
      # Sets weekly seasonality to 5.
      forecast_config.model_components_param.custom[
          "multistage_forecast_configs"
      ][1].model_components.seasonality["weekly_seasonality"] = 5
      # Removes the daily seasonality specification.
      del forecast_config.model_components_param.custom[
          "multistage_forecast_configs"
      ][1].model_components.seasonality["daily_seasonality"]
      template.config = forecast_config
      hyperparameter_grid = template.get_hyperparameter_grid()
      # The original template has daily seasonality 12 and no weekly seasonality.
      # The second model was overriden with the same ``model_template``, which is ``SILVERKITE``,
      # so the hyperparameter_grid should have both daily seasonality 12 and weekly seasonality 5.
      assert (
          hyperparameter_grid["estimator__model_configs"][0][
              1
          ].estimator_params["daily_seasonality"]
          == 12
      )
      assert (
          hyperparameter_grid["estimator__model_configs"][0][
              1
          ].estimator_params["weekly_seasonality"]
          == 5
      )
  
imports: import datetime
  import numpy
  import pytest
  from testfixtures import LogCapture
  from greykite.common.constants import LOGGER_NAME
  from greykite.common.constants import PREDICTED_COL
  from greykite.common.constants import PREDICTED_LOWER_COL
  from greykite.common.constants import PREDICTED_UPPER_COL
  from greykite.common.constants import TIME_COL
  from greykite.common.constants import VALUE_COL
  from greykite.common.testing_utils import generate_df_for_tests
  from greykite.framework.templates.autogen.forecast_config import EvaluationPeriodParam
  from greykite.framework.templates.autogen.forecast_config import ForecastConfig
  from greykite.framework.templates.autogen.forecast_config import MetadataParam
  from greykite.framework.templates.autogen.forecast_config import ModelComponentsParam
  from greykite.framework.templates.forecaster import Forecaster
  from greykite.framework.templates.multistage_forecast_template import MultistageForecastTemplate
  from greykite.framework.templates.multistage_forecast_template_config import SILVERKITE_TWO_STAGE
  from greykite.framework.templates.multistage_forecast_template_config import MultistageForecastTemplateConfig
  from greykite.framework.templates.simple_silverkite_template import SimpleSilverkiteTemplate
  from greykite.sklearn.estimator.simple_silverkite_estimator import SimpleSilverkiteEstimator
  from greykite.sklearn.uncertainty.uncertainty_methods import UncertaintyMethodEnum
label_desc: Use image node_id 8 for calling a global function with example usage: test_get_hyperparameter_grid_same_template(df, forecast_config) without return types