code: def setUp(self):
      # Pre Release
      import sys
      import os
  
      sys.path.append(os.environ["DEV_AUTOTS"])
      import pandas as pd  # type: ignore
  
      datapath = "example_datasets/"
      filename1 = "Sales_and_Marketing.csv"
      dft = pd.read_csv(datapath + filename1, index_col=None)
  
      self.ts_column = "Time Period"
      self.sep = ","
      self.target = "Sales"
      self.preds = [
          x for x in list(dft) if x not in [self.ts_column, self.target]
      ]  # Exogenous variable names
  
      self.train_multivar = dft[:40]
      self.test_multivar = dft[40:]
  
      self.train_univar = dft[:40][[self.ts_column, self.target]]
      self.test_univar = dft[40:][[self.ts_column, self.target]]
  
      self.forecast_period = 8
  
      self.expected_pred_col_names = np.array(
          ["mean", "mean_se", "mean_ci_lower", "mean_ci_upper"]
      )
  
file_path: Auto_TS/auto_ts/test/test_auto_sarimax.py
imports: import unittest
  import numpy
  import pandas
  from pandas.testing import assert_series_equal
  from pandas.testing import assert_frame_equal
  from statsmodels.tsa.statespace.sarimax import SARIMAXResultsWrapper
label_desc: Use image node_id 1 for calling the TestAutoSarimax obj's underlying member method code with example usage: obj.setUp() without return types