code: def test_meta_constructor_utilities_raise(data):
      with pytest.raises(
          TypeError, match="not supported by meta_series"
      ):
          meta_series_constructor(data)
      with pytest.raises(
          TypeError, match="not supported by meta_frame"
      ):
          meta_frame_constructor(data)
  
imports: from __future__ import annotations
  import re
  import warnings
  from collections.abc import Iterable
  import numpy
  import pandas
  import pytest
  from packaging.version import Version
  import dask
  import dask.dataframe
  from dask.dataframe._compat import PANDAS_GE_200, tm
  from dask.dataframe.core import apply_and_enforce
  from dask.dataframe.utils import UNKNOWN_CATEGORIES, assert_eq, check_matching_columns, check_meta, is_dataframe_like, is_index_like, is_series_like, make_meta, meta_frame_constructor, meta_nonempty, meta_series_constructor, pyarrow_strings_enabled, raise_on_meta_error, shard_df_on_index, valid_divisions
  from dask.local import get_sync
label_desc: Use image node_id 20 for calling a global function with example usage: test_meta_constructor_utilities_raise(data) without return types