code: def save_data(group: str, train: bool = True):
      df = get_data("data", group, train)
      if train:
          df.to_csv(f"data/EPF-{group}.csv", index=False)
      else:
          df.to_csv(f"data/EPF-{group}-test.csv", index=False)
  
imports: import fire
  import pandas
  from neuralforecast.data.datasets.epf import EPF
label_desc: Use image node_id 2 for calling a global function with example usage: save_data(group, train) without return types