code: def _roll_timeseries_dataframe_test(
      df, roll_feature_df, lookback, feature_col, target_col
  ):
      x = df.loc[:, target_col + feature_col].values.astype(np.float32)
  
      output_x, mask_x = _roll_timeseries_ndarray(x, lookback)
      mask = mask_x == 1
  
      x = _append_rolling_feature_df(output_x[mask], roll_feature_df)
  
      return x, None
  
file_path: analytics-zoo/pyzoo/zoo/chronos/data/utils/roll.py
imports: import numpy
  import pandas
label_desc: Use image node_id 3 for calling a global function with example usage: _roll_timeseries_dataframe_test(df, roll_feature_df, lookback, feature_col, target_col) and returns: x,  None