code: def require_length_match(data, index: Index) -> None:
      """
      Check the length of data matches the length of the index.
      """
      if len(data) != len(index):
          raise ValueError(
              "Length of values "
              f"({len(data)}) "
              "does not match length of index "
              f"({len(index)})"
          )
  
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 33 for calling a global function with example usage: require_length_match(data, index) without return types