code: def test_names():
      log.info("testing: names")
      m = NeuralProphet()
      _validate_column_name(
          name="hello_friend",
          config_events=m.config_events,
          config_country_holidays=m.config_country_holidays,
          config_seasonality=m.config_seasonality,
          config_lagged_regressors=m.config_lagged_regressors,
          config_regressors=m.config_regressors,
      )
  
imports: import logging
  import math
  import os
  import pathlib
  import matplotlib.pyplot
  import numpy
  import pandas
  import pytest
  import torch
  from neuralprophet import NeuralProphet, df_utils, set_random_seed
  from neuralprophet.data.process import _handle_missing_data, _validate_column_name
label_desc: Use image node_id 1 for calling a global function with example usage: test_names() without return types