code: def make_test_df():
      today = datetime.datetime.today()
      raw_input = {
          "a": [1, 2, 3, 4, 5],
          "b": [6, 7, 8, 9, 10],
          "text_col": [
              "hi",
              "there",
              "mesmerizingly",
              "intriguing",
              "world",
          ],
          "date_col": [
              today,
              today - datetime.timedelta(days=1),
              today - datetime.timedelta(days=2),
              today - datetime.timedelta(days=3),
              today - datetime.timedelta(days=4),
          ],
      }
      df = pd.DataFrame(raw_input)
      return df
  
file_path: auto_ml/tests/utils_testing.py
imports: import sys, os
  import pandas
  from sklearn.datasets import load_boston
  from sklearn.metrics import brier_score_loss, mean_squared_error
  from sklearn.model_selection import train_test_split
  from auto_ml import Predictor
  import pandas
  import datetime
label_desc: Use image node_id 9 for calling a global function with example usage: make_test_df() and returns: df