code: def test_dispatcher():
      """
      Testing the utilities of the CPU dispatcher
      """
      targets = (
          "SSE2",
          "SSE41",
          "AVX2",
          "VSX",
          "VSX2",
          "VSX3",
          "NEON",
          "ASIMD",
          "ASIMDHP",
          "VX",
          "VXE",
      )
      highest_sfx = ""  # no suffix for the baseline
      all_sfx = []
      for feature in reversed(targets):
          # skip baseline features, by the default `CCompilerOpt` do not generate separated objects
          # for the baseline,  just one object combined all of them via 'baseline' option
          # within the configuration statements.
          if feature in __cpu_baseline__:
              continue
          # check compiler and running machine support
          if (
              feature not in __cpu_dispatch__
              or not __cpu_features__[feature]
          ):
              continue
  
          if not highest_sfx:
              highest_sfx = "_" + feature
          all_sfx.append("func" + "_" + feature)
  
      test = _umath_tests.test_dispatch()
      assert_equal(test["func"], "func" + highest_sfx)
      assert_equal(test["var"], "var" + highest_sfx)
  
      if highest_sfx:
          assert_equal(test["func_xb"], "func" + highest_sfx)
          assert_equal(test["var_xb"], "var" + highest_sfx)
      else:
          assert_equal(test["func_xb"], "nobase")
          assert_equal(test["var_xb"], "nobase")
  
      all_sfx.append("func")  # add the baseline
      assert_equal(test["all"], all_sfx)
  
imports: from numpy.core._multiarray_umath import __cpu_features__, __cpu_baseline__, __cpu_dispatch__
  from numpy.core import _umath_tests
  from numpy.testing import assert_equal
label_desc: Use image node_id 1 for calling a global function with example usage: test_dispatcher() without return types