code: def evaluated_fi_df_template(features, importance=None, n=None):
      rng = np.random.default_rng(0)
      importance_df = pd.DataFrame({"name": features})
      importance_df["importance"] = (
          rng.standard_normal(len(features))
          if importance is None
          else importance
      )
      importance_df["stddev"] = rng.standard_normal(len(features))
      importance_df["p_value"] = None
      importance_df["n"] = 5 if n is None else n
      importance_df.set_index("name", inplace=True)
      importance_df.index.name = None
      return importance_df
  
file_path: autogluon/core/tests/unittests/test_feature_selection.py
imports: import numpy
  import pandas
  import pytest
  from numpy.core.fromnumeric import sort
  from autogluon.core.utils.feature_selection import *
  from autogluon.core.utils.utils import unevaluated_fi_df_template
label_desc: Use image node_id 1 for calling a global function with example usage: evaluated_fi_df_template(features, importance, n) and returns: importance_df