* Matcher checking each item is present exactly once in a given iterable, but an any position,
         * and that there are no unexpected items.
         */
        private
        fun <T> inAnyOrder(items: Array<out T>): Matcher<Iterable<T>> = Matchers.containsInAnyOrder(*items)

        fun newApi(thing: String, desc: String): String =
            "$thing ${describe(thing, desc)}: New public API in 2.0 (@Incubating)"

 * whitespace.
 *
 * Instances of this class are immutable. Use [Builder] to create instances.
 */
@Suppress("NAME_SHADOWING")
class Headers internal constructor(
  internal val namesAndValues: Array<String>,
) : Iterable<Pair<String, String>> {
  /** Returns the last value corresponding to the specified field, or null. */
  operator fun get(name: String): String? = commonHeadersGet(namesAndValues, name)

  /**

      init(arrayOf<KeyManager>(keyManager), arrayOf<TrustManager>(trustManager), SecureRandom())
    }

  class Builder {
    private var heldCertificate: HeldCertificate? = null
    private var intermediates: Array<X509Certificate>? = null
    private val trustedCertificates = mutableListOf<X509Certificate>()
    private val insecureHosts = mutableListOf<String>()

    /**

Observa cómo `Offer` tiene una lista de `Item`s, que a su vez tienen una lista opcional de `Image`s

///

## Cuerpos de listas puras { #bodies-of-pure-lists }

Si el valor superior del cuerpo JSON que esperas es un `array` JSON (una `list` en Python), puedes declarar el tipo en el parámetro de la función, al igual que en los modelos Pydantic:

```Python
images: list[Image]
```

como en:

     * @param query The query to execute
     * @param pageSize The number of hits per scroll page
     * @param batchCallback The callback to process each batch of search hits.
     *        The first parameter is the array of hits, the second is a continuation flag
     *        that can be set to false to stop scrolling.
     */

      Comparator<? super K> comparator,
      boolean sameComparator,
      Iterable<? extends Entry<? extends K, ? extends V>> entries) {
    // "adding" type params to an array of a raw type should be safe as
    // long as no one can ever cast that same array instance back to a
    // raw type.
    @SuppressWarnings("unchecked")
    Entry<K, V>[] entryArray = (Entry[]) Iterables.toArray(entries, EMPTY_ENTRY_ARRAY);

import static com.google.common.cache.TestingWeighers.intValueWeigher;
import static com.google.common.truth.Truth.assertThat;
import static java.lang.Math.min;
import static java.util.Arrays.asList;

import com.google.common.cache.CacheTesting.Receiver;
import com.google.common.cache.TestingCacheLoaders.IdentityLoader;
import com.google.common.cache.TestingRemovalListeners.CountingRemovalListener;

 * limitations under the License.
 */

package com.google.common.collect;

import static com.google.common.collect.BoundType.CLOSED;
import static com.google.common.truth.Truth.assertThat;
import static java.util.Arrays.asList;
import static java.util.Collections.sort;

import com.google.common.annotations.GwtCompatible;
import com.google.common.annotations.GwtIncompatible;
import com.google.common.annotations.J2ktIncompatible;

        recordNameField.setAccessible(true);
        Name mockRecordName = new Name(mockConfig);
        recordNameField.set(nameQueryResponse, mockRecordName);

        // Prepare a byte array with valid NetBIOS name format
        byte[] src = new byte[100];
        int srcIndex = 0;

        // Start with compressed name pointer (0xC0) to use questionName
        src[srcIndex] = (byte) 0xC0;

Sie können das Attribut `model_config` verwenden, das ein <abbr title="Dictionary – Zuordnungstabelle: In anderen Sprachen auch Hash, Map, Objekt, Assoziatives Array genannt">`dict`</abbr> akzeptiert, wie beschrieben in [Pydantic-Dokumentation: Configuration](https://docs.pydantic.dev/latest/api/config/).