code: def test_gufunc_mixed_inputs_vectorize():
      def foo(x, y):
          return (x + y).sum(axis=1)
  
      a = da.ones((8, 3, 5), chunks=(2, 3, 5), dtype=int)
      b = np.ones(5, dtype=int)
      x = apply_gufunc(foo, "(m,n),(n)->(m)", a, b, vectorize=True)
  
      assert_eq(x, np.full((8, 3), 10, dtype=int))
  
imports: from __future__ import annotations
  import numpy
  import pytest
  from numpy.testing import assert_equal
  import dask.array
  from dask.array.core import Array
  from dask.array.gufunc import _parse_gufunc_signature, _validate_normalize_axes, apply_gufunc, as_gufunc, gufunc
  from dask.array.utils import assert_eq
label_desc: Use image node_id 25 for calling a global function with example usage: test_gufunc_mixed_inputs_vectorize() and returns: unknown