code: def test_check_meta_typename():
      df = pd.DataFrame({"x": []})
      ddf = dd.from_pandas(df, npartitions=1)
      check_meta(df, df)
      with pytest.raises(Exception) as info:
          check_meta(ddf, df)
  
      assert "dask" in str(info.value)
      assert "pandas" in str(info.value)
  
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 12 for calling a global function with example usage: test_check_meta_typename() without return types