StringBuilder sb = new StringBuilder();
    Random random = new Random(0xdeadbeef); // for unpredictable but reproducible behavior
    sb.ensureCapacity(size);
    for (int k = 0; k < size; k++) {
      // [9-127) includes all ascii non-control characters
      sb.append((char) (random.nextInt(127 - 9) + 9));
    }
    data = sb.toString();
  }

  @Benchmark
  public long timeCopy(int reps) throws IOException {
    long r = 0;

    StringBuilder sb = new StringBuilder();
    Random random = new Random(0xdeadbeef); // for unpredictable but reproducible behavior
    sb.ensureCapacity(size);
    for (int k = 0; k < size; k++) {
      // [9-127) includes all ascii non-control characters
      sb.append((char) (random.nextInt(127 - 9) + 9));
    }
    data = sb.toString();
  }

  @Benchmark
  public long timeCopy(int reps) throws IOException {
    long r = 0;

		If you want to find documents whose content_length fields have values
		between 1000 and 10000, inclusive, you can enter:
		<pre>content_length:[1000 TO 10000]</pre>
		If you want to exclude the upper and lower bounds, use "{}".
	</dd>
	<dt>Boost</dt>
	<dd>
		To boost a term use the "^" symbol with a boost factor (a number) at
		the end of the term you are searching.
		<pre>Fess^100</pre>
	</dd>

    protected EditBody createEditBody(final RelatedQuery entity) {
        final EditBody body = new EditBody();
        copyBeanToBean(entity, body, copyOp -> {
            copyOp.excludeNull();
            copyOp.exclude(Constants.QUERIES);
        });
        body.queries = stream(entity.getQueries()).get(stream -> stream.filter(StringUtil::isNotBlank).collect(Collectors.joining("\n")));
        return body;
    }

    private byte[] macAddress;
    private byte[] stats;

    NbtAddress[] addressArray;


    /*
     * It is a little awkward but prudent to pass the quering address
     * so that it may be included in the list of results. IOW we do
     * not want to create a new NbtAddress object for this particular
     * address from which the query is constructed, we want to populate

Diferentes versiones de **FastAPI** pueden usar una versión específica de Starlette.

Entonces, puedes dejar que **FastAPI** se asegure por sí mismo de qué versión de Starlette usar.

## Acerca de Pydantic

Pydantic incluye los tests para **FastAPI** dentro de sus propios tests, esto significa que las versiones de Pydantic (superiores a `1.0.0`) son compatibles con FastAPI.

     */
    @Nonnull
    VersionConstraint getVersionConstraint();

    /**
     * Returns the file extension of the artifact.
     * The dot separator is not included in the returned string.
     *
     * @return the file extension or an empty string if none, never {@code null}
     */
    @Nonnull
    String getExtension();

    /**

    @InputFile
    public abstract RegularFileProperty getMetaDataFile();

    @OutputFile
    public abstract RegularFileProperty getMappingDestFile();

    /**
     * Package name can end with '.**' to exclude subpackages as well.
     */
    @Input
    public abstract SetProperty<String> getExcludedPackages();

    @TaskAction
    public void generate() throws IOException {

En este caso, <a href="https://github.com/OAI/OpenAPI-Specification" class="external-link" target="_blank">OpenAPI</a> es una especificación que dicta como se debe definir el schema de tu API.

La definición del schema incluye los paths de tu API, los parámetros que podría recibir, etc.

#### "Schema" de datos

El concepto "schema" también se puede referir a la forma de algunos datos, como un contenido en formato JSON.

	apiTrafficRecvBytesMD = NewCounterMD(apiTrafficRecvBytes,
		"Total number of bytes received", "type")
)

// loadAPIRequestsHTTPMetrics - reads S3 HTTP metrics.
//
// This is a `MetricsLoaderFn`.
//
// This includes node level S3 HTTP metrics.
//
// This function currently ignores `opts`.
func loadAPIRequestsHTTPMetrics(ctx context.Context, m MetricValues, _ *metricsCache) error {
	// Collect node level S3 HTTP metrics.