default:
			bts, err = msgp.Skip(bts)
			if err != nil {
				err = msgp.WrapError(err)
				return
			}
		}
	}
	o = bts
	return
}

// Msgsize returns an upper bound estimate of the number of bytes occupied by the serialized message
func (z BaseOptions) Msgsize() (s int) {
	s = 1
	return
}

// DecodeMsg implements msgp.Decodable

            the goals will be bound to the default phase specified by the plugin. </description>
        </field>
        <field xml.transient="true">
          <name>priority</name>
          <version>4.0.0+</version>
          <type>int</type>
          <description>
            <![CDATA[
            The priority of this execution compared to other executions which are bound to the same phase.

				if GlobalKMS == nil {
					t.Errorf("Test %d: %s:  Expected the response status to be `%d`, but instead found `%d`", i, instanceType, testCase.expectedRespStatus, rec.Code)
					continue
				}
			} else {
				t.Errorf("Test %d: %s:  Expected the response status to be `%d`, but instead found `%d`", i, instanceType, testCase.expectedRespStatus, rec.Code)
				continue
			}
		}
		if rec.Code == http.StatusOK {

	mapIfNotPresent := func(m map[string]string, key string, val string) {
		_, found := m[key]
		if !found {
			m[key] = val
		}
	}

	_, found := hostAnonymizer[currentURL]
	if !found {
		// In distributed setup, anonymized addr = 'poolNum.serverNum'
		newHost := fmt.Sprintf("pool%d.server%d", poolNum, srvrNum)

	for k, v := range oi1.UserDefined {
		var found bool
		for _, prefix := range compareKeys {
			if !stringsHasPrefixFold(k, prefix) {
				continue
			}
			found = true
			break
		}
		if found {
			compareMeta1[strings.ToLower(k)] = v
		}
	}

	compareMeta2 := make(map[string]string)
	for k, v := range oi2.Metadata {
		var found bool
		for _, prefix := range compareKeys {

  mutex_lock l(graph->mu);
  tensorflow::shape_inference::InferenceContext* ic =
      graph->refiner.GetContext(node);
  if (ic == nullptr) {
    status->status =
        InvalidArgument("Node ", node->name(), " was not found in the graph");
    return;
  }

  auto shape_and_type_vec =
      std::vector<tensorflow::shape_inference::ShapeAndType>(
          num_shapes_and_types);
  for (int i = 0; i < num_shapes_and_types; ++i) {

		g1.Policy != g2.Policy {
		return false
	}
	if len(g1.Members) != len(g2.Members) {
		return false
	}
	for _, v1 := range g1.Members {
		var found bool
		if slices.Contains(g2.Members, v1) {
			found = true
		}
		if !found {
			return false
		}
	}
	return true
}

func isUserInfoEqual(u1, u2 madmin.UserInfo) bool {
	if u1.PolicyName != u2.PolicyName ||

			writeErrorResponse(ctx, w, toAPIError(ctx, err), r.URL)
			return
		}
		if isErrObjectNotFound(err) || isErrVersionNotFound(err) {
			// Send an event when the object is not found
			objInfo.Name = object
			objInfo.VersionID = opts.VersionID
			sendEvent(eventArgs{
				EventName:    event.ObjectRemovedNoOP,
				BucketName:   bucket,
				Object:       objInfo,

			c.Fatalf("Expected user DN `%s`, found `%s`", testCase.expectedOutDN, entities.UserMappings[0].User)
		case len(entities.UserMappings[0].Policies) != 1:
			c.Fatalf("Expected exactly one policy attached to user")
		case entities.UserMappings[0].Policies[0] != policy:
			c.Fatalf("Expected attached policy `%s`, found `%s`", policy, entities.UserMappings[0].Policies[0])

					Namespace: nodeMetricNamespace,
					Subsystem: iamSubsystem,
					Name:      "plugin_authn_service_succ_avg_rtt_ms_minute",
					Help:      "When plugin authentication is configured, returns average round-trip-time of successful requests in the last full minute",
					Type:      gaugeMetric,
				},
				Value: pluginAuthNMetrics.AvgSuccRTTMs,
			},
			{
				Description: MetricDescription{