code: def test_predictor_smoke_test():
      train_ds = ListDataset(
          [
              {
                  "target": [
                      100.0,
                      63.0,
                      83.0,
                      126.0,
                      115.0,
                      92.0,
                      57.0,
                      95.0,
                      94.0,
                      92.0,
                      142.0,
                      35.0,
                      116.0,
                      78.0,
                      64.0,
                      141.0,
                  ],
                  "start": "2018-01-07 00:00:00",
                  "feat_static_cat": [0],
              }
          ],
          freq="1m",
      )
  
      test_ds = ListDataset(
          [
              {
                  "target": [
                      100.0,
                      63.0,
                      83.0,
                      126.0,
                      115.0,
                      92.0,
                      57.0,
                      95.0,
                  ]
                  + [0] * 15,
                  "start": "2018-01-07 00:00:00",
                  "feat_static_cat": [1],
              }
          ],
          freq="1m",
      )
  
      estimator = DeepRenewalProcessEstimator(
          prediction_length=5,
          context_length=12,
          num_layers=1,
          num_cells=20,
          dropout_rate=0.1,
          trainer=Trainer(epochs=10),
      )
  
      predictor = estimator.train(train_ds)
  
      try:
          forecast_it, ts_it = make_evaluation_predictions(
              dataset=test_ds,
              predictor=predictor,
              num_samples=200,
          )
          assert (np.min(x.samples) >= 0 for x in list(forecast_it))
      except IndexError:
          pytest.fail("Negative indices in renewal process predictor")
  
file_path: gluonts/test/mx/model/renewal/test_predictor.py
imports: import numpy
  import pytest
  from gluonts.dataset.common import ListDataset
  from gluonts.evaluation import make_evaluation_predictions
  from gluonts.mx.model.renewal import DeepRenewalProcessEstimator
  from gluonts.mx.model.renewal._predictor import DeepRenewalProcessSampleOutputTransform
  from gluonts.mx import Trainer
label_desc: Use image node_id 2 for calling a global function with example usage: test_predictor_smoke_test() without return types