code: def test_preprocess(
      raw_dataset_fp: str, random_seed: int, second_seed_offset: int
  ) -> None:
      """Test reproducibility of train/validation/test splits.
  
      Args:
          raw_dataset_fp (str): file path for data to be used as part of this test
          random_seed(int): random seed integer to use for test
          second_seed_offset(int): zero to use same random seed for second test, non-zero to use a different
              seed for the second run.
  
      Returns: None
      """
      # define Ludwig model
      model1 = LudwigModel(config=CONFIG)
  
      # preprocess the raw data set, specify seed
      preprocessed_data1 = model1.preprocess(
          raw_dataset_fp, random_seed=random_seed
      )
  
      # perform second preprocess operation
      model2 = LudwigModel(config=CONFIG)
      # preprocess same raw data set with same seed
      preprocessed_data2 = model2.preprocess(
          raw_dataset_fp, random_seed=random_seed + second_seed_offset
      )
  
      # confirm data splits are reproducible
      for i in range(3):
          for k in preprocessed_data1[i].dataset:
              if second_seed_offset == 0:
                  # same seeds should result in same output
                  assert np.all(
                      preprocessed_data1[i].dataset[k]
                      == preprocessed_data2[i].dataset[k]
                  )
              else:
                  # non-zero second_seed_offset uses different seeds and should result in different output
                  assert not np.all(
                      preprocessed_data1[i].dataset[k]
                      == preprocessed_data2[i].dataset[k]
                  )
  
file_path: ludwig/tests/integration_tests/test_reproducibility.py
imports: import logging
  import os
  import pathlib
  import random
  import numpy
  import pytest
  import torch
  from ludwig.api import LudwigModel
  from ludwig.data.dataset_synthesizer import cli_synthesize_dataset
label_desc: Use image node_id 2 for calling a global function with example usage: test_preprocess(raw_dataset_fp, random_seed, second_seed_offset) without return types