code: def test_create_dummy_datestamps():
      df = pd.read_csv(PEYTON_FILE, nrows=NROWS)
      df_drop = df.drop("ds", axis=1)
      df_dummy = df_utils.create_dummy_datestamps(df_drop)
      df["ds"] = pd.NA
      with pytest.raises(ValueError):
          _ = df_utils.create_dummy_datestamps(df)
  
      m = NeuralProphet(
          epochs=EPOCHS, batch_size=BATCH_SIZE, learning_rate=LR
      )
      _ = m.fit(df_dummy)
      _ = m.make_future_dataframe(
          df_dummy, periods=365, n_historic_predictions=True
      )
  
file_path: neural_prophet/tests/test_utils.py
imports: import logging
  import os
  import pathlib
  import pandas
  import pytest
  from neuralprophet import NeuralProphet, df_utils, load, save
label_desc: Use image node_id 1 for calling a global function with example usage: test_create_dummy_datestamps() without return types