package org.gradle;

import java.lang.String;

public class Person{
    String surname;
    int age;

    public String getSurname() {
        return surname;
    }

    public void setSurname(String surname) {
        this.surname = surname;
    }

    public int getAge() {
        return age;
    }

    public void setAge(int age) {
        this.age = age;
    }

It uses a single two-way connection to send and receive messages between servers.

It includes built in muxing of concurrent requests as well as congestion handling for streams.

Requests can be "Single Payload" or "Streamed".

Use the MinIO Grid for:

* Small, frequent requests with low latency requirements.
* Long-running requests with small/medium payloads.

Do *not* use the MinIO Grid for:

		protMap := portMap[port]
		if len(protMap) > 1 {
			// Collect names from both protocols
			svcNames := make(ServiceNames, 0)
			for protocol := range protMap {
				svcNames = append(svcNames, protMap[protocol]...)
			}
			sort.Strings(svcNames)
			m := msg.NewDeploymentAssociatedToMultipleServices(r, r.Metadata.FullName.Name.String(), port, svcNames)

			if line, ok := util.ErrorLine(r, fmt.Sprintf(util.MetadataName)); ok {
				m.Line = line

}

// TODO(chky): Consider adding this op to tensorflow core ops.
def TF_PwStreamResultsOp : TF_Op<"PwStreamResults"> {
  let summary = "Streams results back to the controller";

  let description = [{
    This op is a TensorFlow op that represents "streamed outputs", where
    intermediate results can be returned immediately without waiting for the
    entire signature computation to complete.

	}
	if err != nil {
		conn.Close()
		return nil, fmt.Errorf("write error during websocket server creation: %v", err)
	}

	ctx := &conns{
		conn:         conn,
		stdinStream:  streams[constants.StreamStdIn],
		stdoutStream: streams[constants.StreamStdOut],
		stderrStream: streams[constants.StreamStdErr],
		tty:          opts.Tty,
		resizeStream: streams[constants.StreamResize],
	}

	base := parent + "/" + subname

	for {
		n := m.subNames[base]
		if n < 0 {
			panic("subtest count overflow")
		}
		m.subNames[base] = n + 1

		if n == 0 && subname != "" {
			prefix, nn := parseSubtestNumber(base)
			if len(prefix) < len(base) && nn < m.subNames[prefix] {
				// This test is explicitly named like "parent/subname#NN",

     */
    void connectStreams(Process process, String processName, Executor executor);

    /**
     * Starts reading/writing/whatever the process' streams. May block until the streams reach some particular state, e.g. indicate that the process has started successfully.
     */
    void start();

    /**
     * Remove any context associated with tracking the startup of the process.

 * 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.
 *

 *
 * ## Connection Reuse
 *
 * Each connection can carry a varying number of streams, depending on the underlying protocol being
 * used. HTTP/1.x connections can carry either zero or one streams. HTTP/2 connections can carry any
 * number of streams, dynamically configured with `SETTINGS_MAX_CONCURRENT_STREAMS`. A connection
 * currently carrying zero streams is an idle stream. We keep it alive because reusing an existing

)

type streamer interface {
	StreamOoms(chan<- *oomparser.OomInstance)
}

var _ streamer = &oomparser.OomParser{}

type realWatcher struct {
	recorder    record.EventRecorder
	oomStreamer streamer
}

var _ Watcher = &realWatcher{}

// NewWatcher creates and initializes a OOMWatcher backed by Cadvisor as
// the oom streamer.