code: def data_paths(tmp_path):
      train_path = os.path.join(tmp_path, "train.csv")
      test_path = os.path.join(tmp_path, "test.csv")
      leave_one_out_test_path = os.path.join(
          tmp_path, "leave_one_out_test.csv"
      )
      return train_path, test_path, leave_one_out_test_path
  
imports: import calendar
  import datetime
  import os
  from pathlib import Path
  from tempfile import TemporaryDirectory
  import numpy
  import pandas
  import pytest
  from sklearn.model_selection import train_test_split
  from recommenders.utils.constants import DEFAULT_USER_COL, DEFAULT_ITEM_COL, DEFAULT_RATING_COL, DEFAULT_TIMESTAMP_COL
  from recommenders.datasets.python_splitters import numpy_stratified_split
  from recommenders.datasets.python_splitters import python_chrono_split
  from recommenders.utils.spark_utils import start_or_get_spark
label_desc: Use image node_id 18 for calling a global function with example usage: data_paths(tmp_path) and returns: train_path,  test_path,  leave_one_out_test_path