code: def pd_df():
      df = pd.DataFrame(
          {
              DEFAULT_USER_COL: [1, 1, 1, 2, 2, 2],
              DEFAULT_ITEM_COL: [1, 2, 3, 1, 4, 5],
              ITEM_FEAT_COL: [
                  [1, 1, 1],
                  [2, 2, 2],
                  [3, 3, 3],
                  [1, 1, 1],
                  [4, 4, 4],
                  [5, 5, 5],
              ],
              DEFAULT_RATING_COL: [5, 4, 3, 5, 5, 3],
          }
      )
      users = df.drop_duplicates(DEFAULT_USER_COL)[
          DEFAULT_USER_COL
      ].values
      items = df.drop_duplicates(DEFAULT_ITEM_COL)[
          DEFAULT_ITEM_COL
      ].values
      return df, users, items
  
file_path: recommenders/tests/unit/recommenders/models/test_wide_deep_utils.py
imports: import os
  import pytest
  import pandas
  from recommenders.utils.constants import DEFAULT_USER_COL, DEFAULT_ITEM_COL, DEFAULT_RATING_COL
label_desc: Use image node_id 1 for calling a global function with example usage: pd_df() and returns: df,  users,  items