code: def _ensure_arraylike(values, func_name: str) -> ArrayLike:
      """
      ensure that we are arraylike if not already
      """
      if not isinstance(
          values, (ABCIndex, ABCSeries, ABCExtensionArray, np.ndarray)
      ):
          # GH#52986
          if func_name != "isin-targets":
              # Make an exception for the comps argument in isin.
              warnings.warn(
                  f"{func_name} with argument that is not not a Series, Index, "
                  "ExtensionArray, or np.ndarray is deprecated and will raise in a "
                  "future version.",
                  FutureWarning,
                  stacklevel=find_stack_level(),
              )
  
          inferred = lib.infer_dtype(values, skipna=False)
          if inferred in ["mixed", "string", "mixed-integer"]:
              # "mixed-integer" to ensure we do not cast ["ss", 42] to str GH#22160
              if isinstance(values, tuple):
                  values = list(values)
              values = construct_1d_object_array_from_listlike(values)
          else:
              values = np.asarray(values)
      return values
  
imports: from __future__ import annotations
  import decimal
  import operator
  from textwrap import dedent
  from typing import TYPE_CHECKING, Literal, cast
  import warnings
  import numpy
  from pandas._libs import algos, hashtable, iNaT, lib
  from pandas._typing import AnyArrayLike, ArrayLike, ArrayLikeT, AxisInt, DtypeObj, TakeIndexer, npt
  from pandas.util._decorators import doc
  from pandas.util._exceptions import find_stack_level
  from pandas.core.dtypes.cast import construct_1d_object_array_from_listlike, np_find_common_type
  from pandas.core.dtypes.common import ensure_float64, ensure_object, ensure_platform_int, is_array_like, is_bool_dtype, is_complex_dtype, is_dict_like, is_extension_array_dtype, is_float, is_float_dtype, is_integer, is_integer_dtype, is_list_like, is_object_dtype, is_signed_integer_dtype, needs_i8_conversion
  from pandas.core.dtypes.concat import concat_compat
  from pandas.core.dtypes.dtypes import BaseMaskedDtype, CategoricalDtype, ExtensionDtype, NumpyEADtype
  from pandas.core.dtypes.generic import ABCDatetimeArray, ABCExtensionArray, ABCIndex, ABCMultiIndex, ABCSeries, ABCTimedeltaArray
  from pandas.core.dtypes.missing import isna, na_value_for_dtype
  from pandas.core.array_algos.take import take_nd
  from pandas.core.construction import array, ensure_wrapped_if_datetimelike, extract_array
  from pandas.core.indexers import validate_indices
label_desc: Use image node_id 3 for calling a global function with example usage: _ensure_arraylike(values, func_name) and returns: values