code: def test_iterate_multiple_times(
      data: Iterable, expected_elements_per_iteration: Tuple[List]
  ):
      for expected_elements in expected_elements_per_iteration:
          assert list(data) == expected_elements
  
imports: import itertools
  import pickle
  import tempfile
  from dataclasses import dataclass
  from pathlib import Path
  from typing import Iterable, List, Tuple
  import numpy
  from numpy.testing import assert_equal
  from toolz import take
  import pytest
  from gluonts.dataset.artificial import constant_dataset
  from gluonts.itertools import batcher, Cached, Chain, PickleCached, Cyclic, IterableSlice, SizedIterableSlice, PseudoShuffled, rows_to_columns, columns_to_rows, select, pluck_attr, power_set, Map, StarMap, Filter, join_items, RandomYield
label_desc: Use image node_id 3 for calling a global function with example usage: test_iterate_multiple_times(data, expected_elements_per_iteration) without return types