code: def test_conditional_vect_numba_decorator_keyword(monkeypatch):
      """Checks else statement and vect keyword argument"""
      from ... import utils
  
      # Mock import lib to return numba with hit method which returns a function that returns kwargs
      numba_mock = Mock()
      monkeypatch.setattr(
          utils.importlib, "import_module", lambda x: numba_mock
      )
  
      def vectorize(**kwargs):
          """overwrite numba.vectorize function"""
          return lambda x: (x(), kwargs)
  
      numba_mock.vectorize = vectorize
  
      @utils.conditional_vect(keyword_argument="A keyword argument")
      def placeholder_func():
          """This function does nothing"""
          return "output"
  
      # pylint: disable=unpacking-non-sequence
      function_results, wrapper_result = placeholder_func
      assert wrapper_result == {
          "keyword_argument": "A keyword argument"
      }
      assert function_results == "output"
  
imports: from unittest.mock import Mock
  import numpy
  import pytest
  import scipy.stats
  from ...data import dict_to_dataset, from_dict, load_arviz_data
  from ...stats.density_utils import _circular_mean, _normalize_angle, _find_hdi_contours
  from ...utils import _stack, _subset_list, _var_names, expand_dims, flatten_inference_data_to_dict, one_de, two_de
  from ..helpers import TestRandomVariable
label_desc: Use image node_id 16 for calling a global function with example usage: test_conditional_vect_numba_decorator_keyword(monkeypatch) and returns: function, str