public:
  explicit ValueArray1(T1 v1) : v1_(v1) {}

  template <typename T>
  operator ParamGenerator<T>() const { return ValuesIn(&v1_, &v1_ + 1); }

 private:
  // No implementation - assignment is unsupported.
  void operator=(const ValueArray1& other);

  const T1 v1_;
};

template <typename T1, typename T2>
class ValueArray2 {
 public:
  ValueArray2(T1 v1, T2 v2) : v1_(v1), v2_(v2) {}

 public:
  explicit ValueArray1(T1 v1) : v1_(v1) {}

  template <typename T>
  operator ParamGenerator<T>() const { return ValuesIn(&v1_, &v1_ + 1); }

 private:
  // No implementation - assignment is unsupported.
  void operator=(const ValueArray1& other);

  const T1 v1_;
};

template <typename T1, typename T2>
class ValueArray2 {
 public:
  ValueArray2(T1 v1, T2 v2) : v1_(v1), v2_(v2) {}

				r := admissionregistration.FailurePolicyType("other")
				return &r
			}(),
		},
		}, true),
		expectedError: `webhooks[0].failurePolicy: Unsupported value: "other": supported values: "Fail", "Ignore"`,
	}, {
		name: "AdmissionReviewVersions are required",
		config: newValidatingWebhookConfiguration([]admissionregistration.ValidatingWebhook{{
			Name:         "webhook.k8s.io",

							},
						}},
					},
				},
			},
			opts: JobValidationOptions{RequirePrefixedLabels: true},
		},
		`spec.podFailurePolicy.rules[0].action: Unsupported value: "UnknownAction": supported values: "Count", "FailIndex", "FailJob", "Ignore"`: {
			job: batch.Job{
				ObjectMeta: validJobObjectMeta,
				Spec: batch.JobSpec{
					Selector: validGeneratedSelector,

		},
		&model.Port{
			Name:     "auto",
			Port:     9090,
			Protocol: protocol.Unsupported,
		},
	}
	http2ServicePort := model.PortList{
		&model.Port{
			Name:     "default",
			Port:     8080,
			Protocol: protocol.HTTP2,
		},
		&model.Port{
			Name:     "auto",
			Port:     9090,
			Protocol: protocol.Unsupported,
		},
	}
	service := &model.Service{

					errs = AppendValidation(errs, fmt.Errorf("sidecar: subjectAltNames is not supported in ingress tls"))
				}
				if i.Tls.HttpsRedirect {
					errs = AppendValidation(errs, fmt.Errorf("sidecar: httpsRedirect is not supported"))
				}
				if i.Tls.CredentialName != "" {
					errs = AppendValidation(errs, fmt.Errorf("sidecar: credentialName is not currently supported"))
				}

    }
    return Status(absl::StatusCode::kInvalidArgument, "Unsupported type");
  } else if (auto itype = mlir::dyn_cast<mlir::IntegerType>(type)) {
    switch (itype.getWidth()) {
      case 1:
        return tflite::TensorType_BOOL;
      case 4:
        if (itype.isUnsigned()) {
          return Status(absl::StatusCode::kInvalidArgument,
                        "Unsupported 4bit unsigned int type");
        } else {

    // Check that input is a supported 1d convolution.
    if (!ConvertNdConvOp<1>::IsSupportedConvOp(conv_op) ||
        conv_op->getNumResults() != 1)
      return rewriter.notifyMatchFailure(conv_op, "unsupported conv op.");

    const mhlo::ConvDimensionNumbersAttr dnums = conv_op.getDimensionNumbers();

    // Group convolution is not supported yet.

  // Unsupported ksize
  %1 = "tf.AvgPool"(%arg0) {T = "tfdtype$DT_FLOAT", data_format = "NHWC", ksize = [3, 3, 6, 1], padding = "VALID", strides = [1, 3, 1, 1]} : (tensor<1x6x6x16xf32>) -> tensor<1x1x1x16xf32>
  // Unsupported strides

							Protocol: string(protocol.HTTP),
						},
						ConnectionPool: overrideSettings,
					},
					{
						Port: &networking.SidecarPort{
							Number:   10002,
							Protocol: string(protocol.Unsupported),
						},
					},
				},
			},
			want: map[string]*networking.ConnectionPoolSettings{
				"outbound|8080||*.example.org": nil,
				"inbound|10001||":              overrideSettings,