// implementation which is buggy on NUMA systems, we have to use a simpler
// io.Writer implementation alone avoids also unnecessary buffer copies,
// and as such incurred latencies.
var Discard io.Writer = discard{}

// discard is /dev/null for Golang.
type discard struct{}

func (discard) Write(p []byte) (int, error) {
	return len(p), nil
}

// DiscardReader discarded reader

    val newMaxFrameSize = 16777215
    val writer = Http2Writer(Buffer(), true)
    writer.applyAndAckSettings(Settings().set(Settings.MAX_FRAME_SIZE, newMaxFrameSize))
    assertThat(writer.maxDataLength()).isEqualTo(newMaxFrameSize)
    writer.frameHeader(0, newMaxFrameSize, Http2.TYPE_DATA, FLAG_NONE)
  }

  @Test fun streamIdHasReservedBit() {
    val writer = Http2Writer(Buffer(), true)

		b = append(b, ' ')
		w.Write(b)
	}
	w.Flush()
	// Output: 1 2 3 4
}

// ExampleWriter_ReadFrom demonstrates how to use the ReadFrom method of Writer.
func ExampleWriter_ReadFrom() {
	var buf bytes.Buffer
	writer := bufio.NewWriter(&buf)

	data := "Hello, world!\nThis is a ReadFrom example."
	reader := strings.NewReader(data)

	n, err := writer.ReadFrom(reader)
	if err != nil {

  fun setClient(client: Boolean) {
    if (this.client == client) return
    this.client = client
    writer = Http2Writer(bytesOut, client)
  }

  fun acceptFrame() {
    frameCount++
  }

  /** Maximum length of an outbound data frame.  */
  fun maxOutboundDataLength(): Int = writer.maxDataLength()

  /** Count of frames sent or received.  */
  fun frameCount(): Int = frameCount

pkg testing, method (*B) Output() io.Writer #59928
pkg testing, method (*F) Attr(string, string) #43936
pkg testing, method (*F) Output() io.Writer #59928
pkg testing, method (*T) Attr(string, string) #43936
pkg testing, method (*T) Output() io.Writer #59928
pkg testing, type TB interface, Attr(string, string) #43936
pkg testing, type TB interface, Output() io.Writer #59928

{{if .VisibleFlags}}
FLAGS:
  {{range .VisibleFlags}}{{.}}
  {{end}}{{end}}
EXAMPLES:
  1. Generate format.json.zip containing format.json files for all drives in a distributed MinIO server pool of 32 nodes with 32 drives each.
     {{.Prompt}} {{.HelpName}} http://node{1...32}.example.com/mnt/export{1...32}

`,
}

func fmtGenMain(ctxt *cli.Context) {
	deploymentID := ctxt.String("deployment-id")

	if !corruptedMultipart {
		var writer io.Writer
		var err error
		if noFilename {
			writer, err = w.CreateFormField("file")
		} else {
			writer, err = w.CreateFormFile("file", "upload.txt")
		}
		if err != nil {
			// return nil, err
			return nil, err
		}
		writer.Write(objData)
		// Close before creating the new request.
		w.Close()
	}

    return byteSink.wasStreamClosed();
  }

  @Override
  public Writer openStream() throws IOException {
    // using TestByteSink's output stream to get option behavior, so flush to it on every write
    return new FilterWriter(new OutputStreamWriter(byteSink.openStream(), UTF_8)) {
      @Override
      public void write(int c) throws IOException {
        super.write(c);
        flush();
      }

      @Override

    @Override
    public void write(Writer output, Map<String, Object> options, PersistedToolchains toolchains) throws IOException {
        Objects.requireNonNull(output, "output cannot be null");
        Objects.requireNonNull(toolchains, "toolchains cannot be null");

        try (Writer out = output) {
            new MavenToolchainsStaxWriter().write(out, toolchains.getDelegate());

If you have traditional spinning (hdd) drives, some applications with high concurrency might require MinIO cluster to be tuned such that to avoid random I/O on the drives. The way to convert high concurrent I/O into a sequential I/O is by reducing the number of concurrent operations allowed per cluster. This allows MinIO cluster to be operationally resilient to such workloads, while also making sure the drives are at optimal efficiency and responsive.