code: def test_wrapper_base():
      log.info("testing: Wrapper base")
      df = pd.read_csv(PEYTON_FILE, nrows=NROWS)
      m = Prophet(
          epochs=EPOCHS, batch_size=BATCH_SIZE, learning_rate=LR
      )
      m.fit(df)
  
      future = m.make_future_dataframe(periods=50)
      m.predict(future)
  
file_path: neural_prophet/tests/test_wrapper.py
imports: import logging
  import os
  import pathlib
  import pandas
  from neuralprophet import TorchProphet
label_desc: Use image node_id 1 for calling a global function with example usage: test_wrapper_base() without return types