code: def test_invalid_dtype_backend():
      ser = Series([1, 2, 3])
      msg = (
          "dtype_backend numpy is invalid, only 'numpy_nullable' and "
          "'pyarrow' are allowed."
      )
      with pytest.raises(ValueError, match=msg):
          to_numeric(ser, dtype_backend="numpy")
  
imports: import decimal
  import numpy
  from numpy import iinfo
  import pytest
  import pandas.util._test_decorators
  import pandas
  from pandas import ArrowDtype, DataFrame, Index, Series, option_context, to_numeric
  import pandas._testing
label_desc: Use image node_id 60 for calling a global function with example usage: test_invalid_dtype_backend() without return types