code: def validate_index_loc(index: "Index", loc: int) -> None:
      """
      Raises IndexError if index is out of bounds
      """
      length = len(index)
      if loc < 0:
          loc = loc + length
          if loc < 0:
              raise IndexError(
                  "index {} is out of bounds for axis 0 with size {}".format(
                      (loc - length), length
                  )
              )
      else:
          if loc > length:
              raise IndexError(
                  "index {} is out of bounds for axis 0 with size {}".format(
                      loc, length
                  )
              )
  
imports: import functools
  from contextlib import contextmanager
  import os
  from typing import Any, Callable, Dict, Iterator, List, Optional, Tuple, Union, TYPE_CHECKING, cast, no_type_check, overload
  import warnings
  import pandas
  from pandas.api.types import is_list_like
  from pyspark.sql import functions, Column, DataFrame, SparkSession
  from pyspark.sql.types import DoubleType
  from pyspark.sql.utils import is_remote, get_dataframe_class
  from pyspark.errors import PySparkTypeError
  from pyspark import pandas
  from pyspark.pandas._typing import Axis, Label, Name, DataFrameOrSeries
  from pyspark.pandas.typedef.typehints import as_spark_type
label_desc: Use image node_id 27 for calling a global function with example usage: validate_index_loc(index, loc) without return types