code: def test_series_fillna_invalid_dtype(data_dtype):
      gdf = cudf.Series([1, 2, None, 3], dtype=data_dtype)
      fill_value = 2.5
      with pytest.raises(TypeError) as raises:
          gdf.fillna(fill_value)
      raises.match(
          f"Cannot safely cast non-equivalent"
          f" {type(fill_value).__name__} to {gdf.dtype.type.__name__}"
      )
  
imports: import re
  from decimal import Decimal
  import numpy
  import pandas
  import pytest
  import cudf
  from cudf.core._compat import PANDAS_GE_134, PANDAS_GE_150
  from cudf.core.dtypes import Decimal32Dtype, Decimal64Dtype, Decimal128Dtype
  from cudf.testing._utils import INTEGER_TYPES, NUMERIC_TYPES, assert_eq, assert_exceptions_equal
label_desc: Use image node_id 14 for calling a global function with example usage: test_series_fillna_invalid_dtype(data_dtype) without return types