code: def _index_converter(arr, index):
      """Converts output from _select_index to an array_like"""
      if is_list_like(arr):
          arr = np.asanyarray(arr)
      if is_bool_dtype(arr):
          arr = arr.nonzero()[0]
      elif isinstance(arr, slice):
          arr = range(index.size)[arr]
      elif isinstance(arr, int):
          arr = [arr]
      return arr
  
imports: from __future__ import annotations
  import fnmatch
  import inspect
  import re
  import warnings
  from collections.abc import Callable
  from dataclasses import dataclass
  from enum import Enum
  from functools import singledispatch
  from typing import Any, Callable, Hashable, Iterable, List, Literal, Optional, Pattern, Union
  import numpy
  import pandas
  from multipledispatch import dispatch
  from pandas.api.types import is_bool_dtype, is_datetime64_dtype, is_list_like, is_scalar, is_string_dtype, union_categoricals
  from pandas.core.common import is_bool_indexer
  from pandas.core.groupby.generic import DataFrameGroupBy, SeriesGroupBy
  from janitor.utils import _expand_grid, check, check_column, find_stack_level
label_desc: Use image node_id 18 for calling a global function with example usage: _index_converter(arr, index) and returns: arr