t.Errorf("incorrect kms v1 detection: want=%v got=%v", tt.kmsv1, kmsUsed.v1Used)
			}

			if d := cmp.Diff(tt.want, got,
				cmp.Comparer(func(a, b *kmsPluginProbe) bool {
					return *a == *b
				}),
				cmp.Comparer(func(a, b *kmsv2PluginProbe) bool {
					return *a == *b
				}),
			); d != "" {
				t.Fatalf("HealthzConfig mismatch (-want +got):\n%s", d)
			}
		})
	}
}

// tests for masking rules

          "ａ=>a", "ｂ=>b","ｃ=>c","ｄ=>d","ｅ=>e","ｆ=>f","ｇ=>g","ｈ=>h","ｉ=>i","ｊ=>j","ｋ=>k","ｌ=>l","ｍ=>m","ｎ=>n","ｏ=>o","ｐ=>p","ｑ=>q","ｒ=>r","ｓ=>s",
          "ｔ=>t","ｕ=>u","ｖ=>v","ｗ=>w","ｘ=>x", "ｙ=>y", "ｚ=>z",
          "Ａ=>A", "Ｂ=>B","Ｃ=>C","Ｄ=>D","Ｅ=>E","Ｆ=>F","Ｇ=>g","Ｈ=>H","Ｉ=>I","Ｊ=>j","Ｋ=>k","Ｌ=>L","Ｍ=>M","Ｎ=>N","Ｏ=>O","Ｐ=>P","Ｑ=>Q","Ｒ=>R","Ｓ=>S",

          "ａ=>a", "ｂ=>b","ｃ=>c","ｄ=>d","ｅ=>e","ｆ=>f","ｇ=>g","ｈ=>h","ｉ=>i","ｊ=>j","ｋ=>k","ｌ=>l","ｍ=>m","ｎ=>n","ｏ=>o","ｐ=>p","ｑ=>q","ｒ=>r","ｓ=>s",
          "ｔ=>t","ｕ=>u","ｖ=>v","ｗ=>w","ｘ=>x", "ｙ=>y", "ｚ=>z",
          "Ａ=>A", "Ｂ=>B","Ｃ=>C","Ｄ=>D","Ｅ=>E","Ｆ=>F","Ｇ=>g","Ｈ=>H","Ｉ=>I","Ｊ=>j","Ｋ=>k","Ｌ=>L","Ｍ=>M","Ｎ=>N","Ｏ=>O","Ｐ=>P","Ｑ=>Q","Ｒ=>R","Ｓ=>S",

          "ａ=>a", "ｂ=>b","ｃ=>c","ｄ=>d","ｅ=>e","ｆ=>f","ｇ=>g","ｈ=>h","ｉ=>i","ｊ=>j","ｋ=>k","ｌ=>l","ｍ=>m","ｎ=>n","ｏ=>o","ｐ=>p","ｑ=>q","ｒ=>r","ｓ=>s",
          "ｔ=>t","ｕ=>u","ｖ=>v","ｗ=>w","ｘ=>x", "ｙ=>y", "ｚ=>z",
          "Ａ=>A", "Ｂ=>B","Ｃ=>C","Ｄ=>D","Ｅ=>E","Ｆ=>F","Ｇ=>g","Ｈ=>H","Ｉ=>I","Ｊ=>j","Ｋ=>k","Ｌ=>L","Ｍ=>M","Ｎ=>N","Ｏ=>O","Ｐ=>P","Ｑ=>Q","Ｒ=>R","Ｓ=>S",

						MatchLabels: map[string]string{"a": "b"},
					},
					Ingress: []networking.NetworkPolicyIngressRule{},
				},
			},
			update: networking.NetworkPolicy{
				ObjectMeta: metav1.ObjectMeta{Name: "foo", Namespace: "bar"},
				Spec: networking.NetworkPolicySpec{
					PodSelector: metav1.LabelSelector{
						MatchLabels: map[string]string{"a": "b"},
					},

	return t
}
func s390xCCMaskToAux(c s390x.CCMask) Aux {
	return c
}
func s390xRotateParamsToAux(r s390x.RotateParams) Aux {
	return r
}

// uaddOvf reports whether unsigned a+b would overflow.
func uaddOvf(a, b int64) bool {
	return uint64(a)+uint64(b) < uint64(a)
}

// loadLSymOffset simulates reading a word at an offset into a
// read-only symbol's runtime memory. If it would read a pointer to

  // is just 1, so we only need replicate the output gradient on such a
  // dimension to its "expanded" shape.
  // Running example:
  // input is
  // [[a, b, c],
  //  [d, e, f]]
  // reduction_indices = [1]
  // Sum = [a + b + c, d + e + f]
  // if the gradient is [g1, g2]
  // We want the propagated gradient to be
  // [[g1, g1, g1],
  //  [g2, g2, g2]]

  // input_shape = [2, 3]

  // chance of all most important edges to be contracted.
  //
  // An example of where this might occur is with a digraph:
  // {A -> B, B -> C, A -> X, X -> C} where B is a Size operation and X is
  // not-compilable. In this case, the valid clusterings are {A,B} or {B,C}. B
  // should be clustered with A because it will prevent a potentially large
  // tensor from A being computed and copied.
  //

H("</PRE>\n");
H("</BODY>\n");
H("</HTML>\n");
}

#ifndef elementsof
#define elementsof(x)	(sizeof(x)/sizeof(x[0]))
#endif

#ifndef streq
#define streq(a,b)	(*(a)==*(b)&&!strcmp(a,b))
#endif

#define HUNG		2
#define NOTEST		(~0)

#ifndef REG_TEST_DEFAULT
#define REG_TEST_DEFAULT	0
#endif

#ifndef REG_EXEC_DEFAULT
#define REG_EXEC_DEFAULT	0
#endif

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