code: def index_labels_to_array(labels, dtype=None):
      """
      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, (compat.string_types, 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: import collections
  from datetime import datetime, timedelta
  from functools import partial
  import inspect
  import numpy
  from pandas._libs import lib, tslibs
  import pandas.compat
  from pandas.compat import PY36, OrderedDict, iteritems
  from pandas.core.dtypes.cast import construct_1d_object_array_from_listlike
  from pandas.core.dtypes.common import is_array_like, is_bool_dtype, is_extension_array_dtype, is_integer
  from pandas.core.dtypes.generic import ABCIndex, ABCIndexClass, ABCSeries
  from pandas.core.dtypes.inference import _iterable_not_string
  from pandas.core.dtypes.missing import isna, isnull, notnull
label_desc: Use image node_id 16 for calling a global function with example usage: index_labels_to_array(labels, dtype) and returns: labels