code: def get_ref_comparer_data():
      ref_data = pd.DataFrame()
      # we do not add "mse_std" on purpose to have some noise in the data
      ref_data["metric"] = [
          "mae_mean",
          "mae_std",
          "mae_pull",
          "mse_mean",
      ]
      ref_data["value"] = [0.124, 0.0376, 0.0376, 0.09]
      ref_data["feature"] = "the_feature"
      ref_data["date"] = np.arange(ref_data.shape[0]) + 2010
  
      return ref_data
  
file_path: popmon/tests/popmon/conftest.py
imports: from json import load
  from os.path import dirname
  import numpy
  import pandas
  import pytest
  from popmon import resources
label_desc: Use image node_id 2 for calling a global function with example usage: get_ref_comparer_data() and returns: ref_data