---

Avec ces informations et ces outils, passez à la section suivante pour tout combiner.

## Cluster en mode Docker Swarm avec Traefik et HTTPS

ResultDictType = Dict[str, Dict[str, Union[str, int]]]

RESULT_STORE_LINK_RE = re.compile(
    r'^INFO: Streaming build results to: (https://[\w./\-]+)')
FAILED_BUILD_LINE = 'FAILED: Build did NOT complete successfully'
BUILD_STATUS_LINE = 'INFO: Build'
TESTS_FAILED_RE = re.compile(r'^INFO: Build completed, \d+ tests? FAILED')
BAZEL_COMMAND_RE = re.compile(
    r'(^| )(?P<command>bazel (.*? )?(?P<type>test|build) .+)')

 * ACE and <i>all</i> of the bits in the desired access bits match bits in
 * the access mask of the ACE, the access check is successful. Otherwise,
 * more ACEs are evaluated until all desired access bits (combined)
 * are "allowed". If all of the desired access bits are not "allowed"
 * the then same process is repeated for inherited ACEs.
 * <p>
 * For example, if user <code>WNET\alice</code> tries to open a file

            SID dom = new SID("S-1-5-21");
            SID rel = new SID("S-1-2-200-300"); // two subauthorities appended

            // Act
            SID combined = new SID(dom, rel);

            // Assert
            assertEquals("S-1-5-21-200-300", combined.toString());
        }

        @Test
        @DisplayName("Constructor from sid_t with decrementAuthority drops last subauthority")

</blockquote>

## Investigação

Ao usar todas as alternativas anteriores, eu tive a chance de aprender com todas elas, aproveitar ideias e combiná-las da melhor maneira que encontrei para mim e para os times de desenvolvedores com os quais trabalhava.

Por exemplo, estava claro que idealmente ele deveria ser baseado nos _type hints_ padrões do Python.

This directory contains JLine native libraries extracted from JLine JAR.

You can add your own build for platforms not natively supported by JLine.
See here [1] on how to compile for your platform and here [2] how libraries
follow JLine's directory and filename conventions.

[1] https://github.com/jline/jline3/tree/master/native

   */
  // TODO(user): Evaluate whether it makes sense to always piggyback the computation of a
  // HashCode on an existing OutputStream, compared to creating a separate OutputStream that could
  // be (optionally) be combined with another if needed (with something like
  // MultiplexingOutputStream).
  public HashingOutputStream(HashFunction hashFunction, OutputStream out) {
    super(checkNotNull(out));

                        urlPatterList.add(Pattern.compile(v));
                    }
                }
                excludedDocUrlPatterns = urlPatterList.toArray(new Pattern[urlPatterList.size()]);
            } else if (includedDocUrlPatterns.length > 0) {
                excludedDocUrlPatterns = new Pattern[] { Pattern.compile(".*") };
            } else {

- Kube-apiserver: fixes a potential crash serving CustomResourceDefinitions that combine an invalid schema and CEL validation rules. ([#126167](https://github.com/kubernetes/kubernetes/pull/126167), [@cici37](https://github.com/cici37)) [SIG API Machinery and Testing]

# GraphQL

Como **FastAPI** se basa en el estándar **ASGI**, es muy fácil integrar cualquier paquete de **GraphQL** que también sea compatible con ASGI.

Puedes combinar las *path operations* normales de FastAPI con GraphQL en la misma aplicación.

/// tip | Consejo

**GraphQL** resuelve algunos casos de uso muy específicos.

Tiene **ventajas** y **desventajas** en comparación con las **APIs web** comunes.