code: def test_multiple_countries():
      # test if multiple countries are added
      df = pd.read_csv(PEYTON_FILE, nrows=NROWS)
      m = NeuralProphet(
          epochs=EPOCHS,
          batch_size=BATCH_SIZE,
          learning_rate=LR,
      )
      m.add_country_holidays(country_name=["US", "Germany"])
      m.fit(df, freq="D")
      m.predict(df)
      # get the name of holidays and compare that no holiday is repeated
      holiday_names = m.model.config_holidays.holiday_names
      assert "Independence Day" in holiday_names
      assert "Christmas Day" in holiday_names
      assert "Erster Weihnachtstag" not in holiday_names
      assert "Neujahr" not in holiday_names
  
imports: import logging
  import os
  import pathlib
  import matplotlib.pyplot
  import numpy
  import pandas
  import pytest
  from torch.utils.data import DataLoader
  from neuralprophet import NeuralProphet, configure, df_utils, time_dataset
  from neuralprophet.data.process import _create_dataset, _handle_missing_data
  from neuralprophet.data.transform import _normalize
label_desc: Use image node_id 25 for calling a global function with example usage: test_multiple_countries() without return types