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  import numpy as np
  import pandas as pd
  from neuralprophet import NeuralProphet
  
  from tests.unit.test_general import _test_materializer
  from zenml.integrations.neural_prophet.materializers.neural_prophet_materializer import (
      NeuralProphetMaterializer,
  )
  
  
  def test_neural_prophet_booster_materializer(clean_client):
      """Tests whether the steps work for the Neural Prophet forecaster materializer."""
      sample_df = pd.DataFrame(
          {
              "ds": pd.date_range("2018-01-01", periods=10),
              "y": np.random.rand(10),
          }
      )
      model = NeuralProphet(epochs=2, batch_size=37)
      model.fit(sample_df)
  
      forecaster = _test_materializer(
          step_output=model,
          materializer_class=NeuralProphetMaterializer,
          expected_metadata_size=1,
      )
  
      assert forecaster.config_train.epochs == 2
      assert forecaster.config_train.batch_size == 37
  