targetIDs = targetIDs.Union(targetIDSet)
		}
	}

	return targetIDs
}

// Clone - returns copy of this rules.
func (rules Rules) Clone() Rules {
	rulesCopy := make(Rules)

	for pattern, targetIDSet := range rules {
		rulesCopy[pattern] = targetIDSet.Clone()
	}

	return rulesCopy
}

// Union - returns union with given rules as new rules.

	return k.conn.APIs(ctx)
}

// Metrics returns a current snapshot of the KMS metrics.
func (k *KMS) Metrics(ctx context.Context) (*Metrics, error) {
	latency := make(map[time.Duration]uint64, len(k.latencyBuckets))
	for i, b := range k.latencyBuckets {
		latency[b] = k.latency[i].Load()
	}

	return &Metrics{
		ReqOK:   k.reqOK.Load(),
		ReqErr:  k.reqErr.Load(),

	}

	// Copy tags. We hold read lock already.
	tags := make(map[string]any, len(req.tags))
	for _, entry := range req.tags {
		tags[entry.Key] = entry.Val
	}

	// Get the cause for the Error
	deploymentID := req.DeploymentID
	if req.DeploymentID == "" {
		deploymentID = xhttp.GlobalDeploymentID
	}

	objects := make([]log.ObjectVersion, 0, len(req.Objects))
	for _, ov := range req.Objects {

			}
		case "MetaSys":
			var zb0002 uint32
			zb0002, err = dc.ReadMapHeader()
			if err != nil {
				err = msgp.WrapError(err, "MetaSys")
				return
			}
			if z.MetaSys == nil {
				z.MetaSys = make(map[string][]byte, zb0002)
			} else if len(z.MetaSys) > 0 {
				clear(z.MetaSys)
			}
			for zb0002 > 0 {
				zb0002--
				var za0002 string
				za0002, err = dc.ReadString()
				if err != nil {

	// Number of checksum info == total parts.
	xlMeta.Erasure.Checksums = make([]ChecksumInfo, totalParts)
	// total number of parts.
	xlMeta.Parts = make([]ObjectPartInfo, totalParts)
	for i := range totalParts {
		// hard coding hash and algo value for the checksum, Since we are benchmarking the parsing of xl.meta the magnitude doesn't affect the test,
		// The magnitude doesn't make a difference, only the size does.

}

// Borrowed from rwmutex_test.go
func doTestParallelReaders(numReaders, gomaxprocs int) {
	runtime.GOMAXPROCS(gomaxprocs)
	m := NewDRWMutex(ds, "test-parallel")

	clocked := make(chan bool)
	cunlock := make(chan bool)
	cdone := make(chan bool)
	for range numReaders {
		go parallelReader(context.Background(), m, clocked, cunlock, cdone)
	}
	// Wait for all parallel RLock()s to succeed.
	for range numReaders {

template "minio.name" . }} {{- end }} minio/templates/post-install-create-bucket-job.yaml {{- if .Values.buckets }} apiVersion: batch/v1 kind: Job metadata: name: {{ template "minio.fullname" . }}-make-bucket-job namespace: {{ .Release.Namespace | quote }} labels: app: {{ template "minio.name" . }}-make-bucket-job chart: {{ template "minio.chart" . }} release: {{ .Release.Name }} heritage: {{ .Release.Service }} annotations: "helm.sh/hook": post-install,post-upgrade "helm.sh/hook-delete-policy": ...

	}

	// Accumulate regular-cased API label metrics for 'PutObject' for deeper verification
	metrics := getHistogramMetrics(ttfbHist, getBucketTTFBDistributionMD(), false, false)
	capitalPutObjects := make([]MetricV2, 0, len(histBuckets)+1)
	for _, metric := range metrics {
		if value := metric.VariableLabels["api"]; value == "PutObject" {
			capitalPutObjects = append(capitalPutObjects, metric)
		}
	}

        "InjectOnConstructorOfAbstractClass", // We use abstract injection as a pattern
        "InlineMeSuggester", // Only suppression seems to actually "fix" this, so make it global
        "JavaUtilDate", // We are fine with using Date
        "JavaxInjectOnAbstractMethod", // We use abstract injection as a pattern
        "MissingSummary", // We have another mechanism to check Javadocs on public API

/tensorflow/tools/tf_sig_build_dockerfiles/. However, since
hermetic CUDA and hermetic Python is now available for Tensorflow, a lot of the
requirements installed on the original container can be removed to reduce the
footprint of the container and make it more reusable across different ML