code: def check_value_size(value, mask: npt.NDArray[np.bool_], length: int):
      """
      Validate the size of the values passed to ExtensionArray.fillna.
      """
      if is_array_like(value):
          if len(value) != length:
              raise ValueError(
                  f"Length of 'value' does not match. Got ({len(value)}) "
                  f" expected {length}"
              )
          value = value[mask]
  
      return value
  
imports: from __future__ import annotations
  from functools import partial, wraps
  from typing import TYPE_CHECKING, Any, cast
  import numpy
  from pandas._libs import NaT, algos, lib
  from pandas._typing import ArrayLike, Axis, AxisInt, F, npt
  from pandas.compat._optional import import_optional_dependency
  from pandas.core.dtypes.cast import infer_dtype_from
  from pandas.core.dtypes.common import is_array_like, is_numeric_v_string_like, is_object_dtype, needs_i8_conversion
  from pandas.core.dtypes.missing import is_valid_na_for_dtype, isna, na_value_for_dtype
label_desc: Use image node_id 1 for calling a global function with example usage: check_value_size(value, mask, length) and returns: value