* returns an {@code ImmutableRangeSet}.
   *
   * @since 21.0
   */
  public ImmutableRangeSet<C> union(RangeSet<C> other) {
    return unionOf(Iterables.concat(asRanges(), other.asRanges()));
  }

  /**
   * Returns a new range set consisting of the intersection of this range set and {@code other}.
   *
   * <p>This is essentially the same as {@code

Error("jQuery requires a window with a document");return t(e)}:t(e)}("undefined"!=typeof window?window:this,function(ie,e){"use strict";var oe=[],r=Object.getPrototypeOf,ae=oe.slice,g=oe.flat?function(e){return oe.flat.call(e)}:function(e){return oe.concat.apply([],e)},s=oe.push,se=oe.indexOf,n={},i=n.toString,ue=n.hasOwnProperty,o=ue.toString,a=o.call(Object),le={},v=function(e){return"function"==typeof e&&"number"!=typeof e.nodeType&&"function"!=typeof e.item},y=function(e){return null!=e&&e===e....

 *  The `AndroidAsyncDns` class moved to the `okhttp` artifact.
 *  The `AndroidLogging` class is no longer necessary. `LoggingEventListener` and
    `HttpLoggingInterceptor` write to logcat by default.

The rest of this release is our highest-quality release yet. Though we continue to use the word
_alpha_ in the version name, the only unstable thing in it is some non-final APIs tagged

      ImmutableList.of(-0.0, 0.0, 1.0, 100.0, 10000.0, Double.MAX_VALUE);

  private static final Iterable<Double> TOLERANCE_CANDIDATES =
      ImmutableList.copyOf(
          Iterables.concat(
              FINITE_TOLERANCE_CANDIDATES, ImmutableList.of(Double.POSITIVE_INFINITY)));

  private static final ImmutableList<Double> BAD_TOLERANCE_CANDIDATES =
      ImmutableList.copyOf(
          Doubles.asList(

    return Math.min(Math.max(value, min), max);
  }

  /**
   * Returns the values from each provided array combined into a single array. For example, {@code
   * concat(new long[] {a, b}, new long[] {}, new long[] {c}} returns the array {@code {a, b, c}}.
   *
   * @param arrays zero or more {@code long} arrays
   * @return a single array containing all the values from the source arrays, in order

Esta definición de esquema incluye los paths de tu API, los posibles parámetros que toman, etc.

#### Esquema de Datos

El término "esquema" también podría referirse a la forma de algunos datos, como el contenido JSON.

En ese caso, significaría los atributos del JSON, los tipos de datos que tienen, etc.

          BinaryOperator<V> mergeFunction) {
    checkNotNull(keyFunction);
    checkNotNull(valueFunction);
    checkNotNull(mergeFunction);
    return Collectors.collectingAndThen(
        Collectors.toMap(keyFunction, valueFunction, mergeFunction, LinkedHashMap::new),
        ImmutableMap::copyOf);
  }

  @SuppressWarnings("unchecked") // An empty map works for all types.
  public static <K, V> ImmutableMap<K, V> of() {

  ): List<Header> {
    continuation.left = length
    continuation.length = continuation.left
    continuation.padding = padding
    continuation.flags = flags
    continuation.streamId = streamId

    // TODO: Concat multi-value headers with 0x0, except COOKIE, which uses 0x3B, 0x20.
    // http://tools.ietf.org/html/draft-ietf-httpbis-http2-17#section-8.1.2.5
    hpackReader.readHeaders()
    return hpackReader.getAndResetHeaderList()

////

Esa información extra se añadirá tal cual al **JSON Schema** generado para ese modelo, y se usará en la documentación de la API.

//// tab | Pydantic v2

En Pydantic versión 2, usarías el atributo `model_config`, que toma un `dict` como se describe en <a href="https://docs.pydantic.dev/latest/api/config/" class="external-link" target="_blank">la documentación de Pydantic: Configuración</a>.

values and operands to divide\n  // them by ofset X and Y.\n  const splitRegex = /\\s*,\\s*|\\s+/;\n  let ops = divider !== -1\n    ? [\n        fragments\n          .slice(0, divider)\n          .concat([fragments[divider].split(splitRegex)[0]]),\n        [fragments[divider].split(splitRegex)[1]].concat(\n          fragments.slice(divider + 1)\n        ),\n      ]\n    : [fragments];\n\n  // Convert the values with units to absolute pixels to allow our computations\n  ops = ops.map((op, index) =>...