}
    return dummy;
  }

  /**
   * Only appends delimiter if the accumulated string is non-empty. Note: this isn't a candidate
   * implementation for Joiner since it fails on leading empty components.
   */
  @Benchmark
  int stringBuilderIsEmpty(int reps) {
    int dummy = 0;
    for (int i = 0; i < reps; i++) {
      StringBuilder sb = new StringBuilder();

		"substring('abcd' from 2)",
		"substring('abcd' , 2 , 2)",

		"substring('abcd' , 22 )",
		"trim('  aab  ')",
		"trim(leading from '  aab  ')",
		"trim(trailing from '  aab  ')",
		"trim(both from '  aab  ')",

		"trim(both '12' from '  aab  ')",
		"trim(leading '12' from '  aab  ')",
		"trim(trailing '12' from '  aab  ')",
		"count(23)",
	}
	for i, tc := range validCases {

///

/// tip | Consejo

Si lo estás dudando, "AlexNet", "ResNet", y "LeNet" son solo nombres de <abbr title="Técnicamente, arquitecturas de modelos de Deep Learning">modelos</abbr> de Machine Learning.

///

### Declara un *parámetro de path*

Luego, crea un *parámetro de path* con anotaciones de tipos usando la clase enum que creaste (`ModelName`):

```Python hl_lines="16"

	fmt.Fprintln(tw, strings.Join(secretItemColumns, "\t"))
	for _, s := range secrets {
		if includeConfigType {
			s.Name = fmt.Sprintf("secret/%s", s.Name)
		}
		// If all secrets have a trust domain, we are probably dealing with trust domain federation, so print trust domains.
		// Otherwise, do not do that, because we do not know how to determine that information from the certificate,
		// so the output would be confusing.

  }

  @Throws(IOException::class)
  private fun completeEvent(
    id: String?,
    type: String?,
    data: Buffer,
  ) {
    if (data.size != 0L) {
      lastId = id
      data.skip(1L) // Leading newline.
      callback.onEvent(id, type, data.readUtf8())
    }
  }

  companion object {
    val options =
      Options.of(
        // 0
        "\r\n".encodeUtf8(),
        // 1

    return sb;
  }

  /**
   * Reads all of the lines from a {@link Readable} object. The lines do not include
   * line-termination characters, but do include other leading and trailing whitespace.
   *
   * <p>Does not close the {@code Readable}. If reading files or resources you should use the {@link
   * Files#readLines} and {@link Resources#readLines} methods.
   *
   * @param r the object to read from

	MinIOReadQuorum = "x-minio-read-quorum"

	// Indicates if we are using default storage class and there was problem loading config
	// if this header is set to "true"
	MinIOStorageClassDefaults = "x-minio-storage-class-defaults"

	// Reports number of drives currently healing
	MinIOHealingDrives = "x-minio-healing-drives"

	// Header indicates if the delete marker should be preserved by client

			metrics[d.Endpoint] = madmin.DiskMetric{NDisks: 1, Offline: 1}
			continue
		}

		var dm madmin.DiskMetric
		dm.NDisks = 1
		if d.Healing {
			dm.Healing++
		}
		if d.Metrics != nil {
			dm.LifeTimeOps = make(map[string]uint64, len(d.Metrics.APICalls))
			for k, v := range d.Metrics.APICalls {
				if v != 0 {
					dm.LifeTimeOps[k] = v
				}
			}

func (m *mrfState) shutdown() {
	atomic.StoreInt32(&m.closing, 1)
	m.wg.Wait()
	close(m.opCh)
	atomic.StoreInt32(&m.closed, 1)

	if len(m.opCh) > 0 {
		healingLogEvent(context.Background(), "Saving MRF healing data (%d entries)", len(m.opCh))
	}

	newReader := func() io.ReadCloser {
		r, w := io.Pipe()
		go func() {
			// Initialize MRF meta header.
			var data [4]byte

* text eol=lf

#
# The above will handle all files NOT found below
# https://help.github.com/articles/dealing-with-line-endings/
# https://github.com/Danimoth/gitattributes

# These are explicitly windows files and should use crlf
*.bat           text eol=crlf

# These files are text and should be normalized (Convert crlf => lf)
*.bash          text eol=lf
*.css           text diff=css
*.htm           text diff=html