code: def _split_text(text: str):
      return text.split()
  
imports: import time
  from dataclasses import dataclass
  from multiprocessing import Pool
  from unittest import TestCase
  from unittest.mock import patch
  import multiprocess
  import numpy
  import pytest
  from datasets.utils.py_utils import NestedDataStructure, asdict, iflatmap_unordered, map_nested, temp_seed, temporary_assignment, zip_dict
  from .utils import require_tf, require_torch
label_desc: Use image node_id 7 for calling a global function with example usage: _split_text(text) and returns: text