code: def test_to_numeric_on_dask_dataframe_series_with_meta():
      s = pd.Series(["1.0", "2", -3, -5.1])
      arg = from_pandas(s, npartitions=2)
      expected = pd.to_numeric(s)
      output = to_numeric(arg, meta=pd.Series([], dtype="float64"))
      assert output.dtype == "float64"
      assert isinstance(output, Series)
      assert list(output.compute()) == list(expected)
  
file_path: dask/dask/dataframe/tests/test_numeric.py
imports: from __future__ import annotations
  import numpy
  import pandas
  import pytest
  from dask.array import Array, from_array
  from dask.dataframe import Series, _dask_expr_enabled, from_pandas, to_numeric
  from dask.dataframe.utils import pyarrow_strings_enabled
  from dask.delayed import Delayed
label_desc: Use image node_id 5 for calling a global function with example usage: test_to_numeric_on_dask_dataframe_series_with_meta() without return types