code: def test_correct_meta():
      try:
          from dask.dataframe.dispatch import (
              make_meta_obj,
          )  # noqa: F401
      except ImportError:
          pytest.skip("need make_meta_obj to be preset")
  
      # Need these local imports in this specific order.
      # For context: https://github.com/rapidsai/cudf/issues/7946
      import pandas as pd
  
      from dask import dataframe as dd
  
      import dask_cudf  # noqa: F401
  
      df = pd.DataFrame({"a": [3, 4], "b": [1, 2]})
      ddf = dd.from_pandas(df, npartitions=1)
      emb = ddf["a"].apply(
          pd.Series, meta={"c0": "int64", "c1": "int64"}
      )
  
      assert isinstance(emb, dd.DataFrame)
      assert isinstance(emb._meta, pd.DataFrame)
  
imports: import random
  import cupy
  import numpy
  import pandas
  import pytest
  from packaging import version
  import dask
  from dask import dataframe
  from dask.dataframe.core import make_meta, meta_nonempty
  from dask.utils import M
  import cudf
  import dask_cudf
label_desc: Use image node_id 49 for calling a global function with example usage: test_correct_meta() without return types