- Kube-apiserver: multiple comma-separated protocols in a single X-Stream-Protocol-Version header are now recognized, in addition to multiple headers, complying with RFC2616 ([#89857](https://github.com/kubernetes/kubernetes/pull/89857), [@tedyu](https://github.com/tedyu)) [SIG API Machinery]

	quarkus/extensions/arc/deployment/pom.xml
quarkus/extensions/reactive-streams-operators/smallrye-reactive-streams-operators/deployment/pom.xml
	quarkus/core/deployment/pom.xml
	quarkus/extensions/smallrye-context-propagation/deployment/pom.xml
	quarkus/extensions/reactive-streams-operators/smallrye-reactive-streams-operators/runtime/pom.xml
	quarkus/test-framework/junit5-internal/pom.xml

name: 'Requeue stale team-triage items'
on:
  schedule:
    # Execute every day at 00:05 to avoid conflicts with other workflows
    - cron: '5 0 * * *'

permissions: {}

jobs:
  requeue:
    permissions:
      issues: write
      pull-requests: write
    runs-on: ubuntu-latest
    steps:
      - uses: actions/stale@v9
        with:
          operations-per-run: 50
          remove-stale-when-updated: false

- Text logging in Kubernetes components now uses [textlogger](https://pkg.go.dev/k8s.io/klog/v2@v2.120.0/textlogger). The same split streams of info and error log entries with buffering of info entries is now also supported for text output (off by default, alpha feature). Previously, this was only supported for JSON. Performance is better also without split streams. ([#114672](https://github.com/kubernetes/kubernetes/pull/114672), [@pohly](https://github.com/pohly))

 * and files.
 *
 * <p>At the core of this package are the Source/Sink types: {@link ByteSource ByteSource}, {@link
 * CharSource CharSource}, {@link ByteSink ByteSink} and {@link CharSink CharSink}. They are
 * factories for I/O streams that provide many convenience methods that handle both opening and
 * closing streams for you.
 *

 * and files.
 *
 * <p>At the core of this package are the Source/Sink types: {@link ByteSource ByteSource}, {@link
 * CharSource CharSource}, {@link ByteSink ByteSink} and {@link CharSink CharSink}. They are
 * factories for I/O streams that provide many convenience methods that handle both opening and
 * closing streams for you.
 *

    }
  }

  fun initReaderAndWriter(
    name: String,
    streams: Streams,
  ) {
    val extensions = this.extensions!!
    synchronized(this) {
      this.name = name
      this.streams = streams
      this.writer =
        WebSocketWriter(
          isClient = streams.client,
          sink = streams.sink,
          random = random,
          perMessageDeflate = extensions.perMessageDeflate,

// read current values from streamz counters defined in other modules.
//
// The code under test will have created streamz counters like this:
// auto* streamz = tensorflow::monitoring::Counter<1>::New("name",
// "description", "label");
// and then incremented that counter for various values of label:
// streamz->GetCell("label-value")->IncrementBy(1);
//

func (r *Record) Replace(k interface{}) error {
	v, ok := k.(jstream.KVS)
	if !ok {
		return fmt.Errorf("cannot replace internal data in json record with type %T", k)
	}
	r.KVS = v
	return nil
}

// NewRecord - creates new empty JSON record.
func NewRecord(f sql.SelectObjectFormat) *Record {
	return &Record{
		KVS:          jstream.KVS{},
		SelectFormat: f,
	}
}

		return nil, errDataSource(errors.New("path not supported"))
	}
	switch rec := rawVal.(type) {
	case jstream.KVS:
		txedRec, _, err := jsonpathEval(e.selectAST.From.Table.PathExpr[1:], rec)
		if err != nil {
			return nil, err
		}

		var kvs jstream.KVS
		switch v := txedRec.(type) {
		case jstream.KVS:
			kvs = v

		case []interface{}:
			recs := make([]*Record, len(v))
			for i, val := range v {