code: def index_labels_to_array(
      labels: np.ndarray | Iterable, dtype: NpDtype | None = None
  ) -> np.ndarray:
      """
      Transform label or iterable of labels to array, for use in Index.
  
      Parameters
      ----------
      dtype : dtype
          If specified, use as dtype of the resulting array, otherwise infer.
  
      Returns
      -------
      array
      """
      if isinstance(labels, (str, tuple)):
          labels = [labels]
  
      if not isinstance(labels, (list, np.ndarray)):
          try:
              labels = list(labels)
          except TypeError:  # non-iterable
              labels = [labels]
  
      labels = asarray_tuplesafe(labels, dtype=dtype)
  
      return labels
  
imports: from __future__ import annotations
  import builtins
  from collections import abc, defaultdict
  from collections.abc import Collection, Generator, Hashable, Iterable, Sequence
  import contextlib
  from functools import partial
  import inspect
  from typing import TYPE_CHECKING, Any, Callable, TypeVar, cast, overload
  import warnings
  import numpy
  from pandas._libs import lib
  from pandas.compat.numpy import np_version_gte1p24
  from pandas.core.dtypes.cast import construct_1d_object_array_from_listlike
  from pandas.core.dtypes.common import is_bool_dtype, is_integer
  from pandas.core.dtypes.generic import ABCExtensionArray, ABCIndex, ABCMultiIndex, ABCSeries
  from pandas.core.dtypes.inference import iterable_not_string
label_desc: Use image node_id 14 for calling a global function with example usage: index_labels_to_array(labels, dtype) and returns: labels