code: def test_cyclic(data: Iterable, n: int, expected: List) -> None:
      cyclic_data = Cyclic(data)
      actual = list(itertools.islice(cyclic_data, n))
      assert actual == expected
  
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 1 for calling a global function with example usage: test_cyclic(data, n, expected) without return types