* fluentd-elasticsearch is unchanged from 1.10: v2.0.4 ([#58525](https://github.com/kubernetes/kubernetes/pull/58525))
* fluentd-gcp is unchanged from 1.10: v3.0.0. ([#60722](https://github.com/kubernetes/kubernetes/pull/60722))
* Ingress glbc is unchanged from 1.10: v1.0.0 ([#61302](https://github.com/kubernetes/kubernetes/pull/61302))
* OIDC authentication is unchanged from 1.10: coreos/go-oidc v2 ([#58544](https://github.com/kubernetes/kubernetes/pull/58544))

  }

  public void testExtensiveWithAbsolutePrefix() throws IOException {
    // Inputs are /b/c/<every possible 10-character string of characters "a./">
    // Expected outputs are from realpath -s.
    doExtensiveTest("testdata/simplifypathwithabsoluteprefixtests.txt");
  }

  public void testExtensiveNoPrefix() throws IOException {
    /*

  }

  public void testExtensiveWithAbsolutePrefix() throws IOException {
    // Inputs are /b/c/<every possible 10-character string of characters "a./">
    // Expected outputs are from realpath -s.
    doExtensiveTest("testdata/simplifypathwithabsoluteprefixtests.txt");
  }

  public void testExtensiveNoPrefix() throws IOException {
    /*

## Modelos de Pydantic

<a href="https://docs.pydantic.dev/" class="external-link" target="_blank">Pydantic</a> es una library de Python para llevar a cabo validación de datos.

Tú declaras la "forma" de los datos mediante clases con atributos.

Cada atributo tiene un tipo.

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.

En ese caso haría referencia a los atributos del JSON, los tipos de datos que tiene, etc.

#### OpenAPI y JSON Schema

Você já pode experimentar na documentação interativa:

<img src="/img/tutorial/security/image03.png">

Não estamos verificando a validade do token ainda, mas isso já é um começo

## Recapitulando

    CacheBuilder<Object, Object> builder = CacheBuilder.from(parse("maximumWeight=9000"));
    builder.weigher(constantWeigher(42)).build(CacheLoader.from(Suppliers.ofInstance(null)));
  }

  @SuppressWarnings("ReturnValueIgnored")
  public void testMaximumWeight_withoutWeigher() {
    CacheBuilder<Object, Object> builder = CacheBuilder.from(parse("maximumWeight=9000"));
    assertThrows(

  public static long copy(Readable from, Appendable to) throws IOException {
    // The most common case is that from is a Reader (like InputStreamReader or StringReader) so
    // take advantage of that.
    if (from instanceof Reader) {
      // optimize for common output types which are optimized to deal with char[]
      if (to instanceof StringBuilder) {
        return copyReaderToBuilder((Reader) from, (StringBuilder) to);
      } else {

          }
        });
  }

  /**
   * Copies all bytes from a URL to an output stream.
   *
   * @param from the URL to read from
   * @param to the output stream
   * @throws IOException if an I/O error occurs
   */
  public static void copy(URL from, OutputStream to) throws IOException {
    asByteSource(from).copyTo(to);
  }

  /**

import pytest
from fastapi import FastAPI
from fastapi.testclient import TestClient

from ...utils import needs_py39


@pytest.fixture(name="app")
def get_app():
    from docs_src.websockets.tutorial003_py39 import app

    return app


@pytest.fixture(name="html")
def get_html():
    from docs_src.websockets.tutorial003_py39 import html

    return html


@pytest.fixture(name="client")