code: def pandas_dummy(header):
      ratings_dict = {
          header["col_user"]: [1, 1, 1, 1, 2, 2, 2, 2, 2, 2],
          header["col_item"]: [1, 2, 3, 4, 5, 6, 7, 8, 9, 10],
          header["col_rating"]: [1, 2, 3, 4, 5, 1, 2, 3, 4, 5],
      }
      df = pd.DataFrame(ratings_dict)
      return df
  
file_path: recommenders/contrib/sarplus/python/tests/conftest.py
imports: import calendar
  import datetime
  import pandas
  import pytest
  from sklearn.model_selection import train_test_split
label_desc: Use image node_id 3 for calling a global function with example usage: pandas_dummy(header) and returns: df