/**
 * Travis CI support.
 */
public class TravisCIDetector implements CIDetector {
    public static final String NAME = "Travis";

    private static final String TRAVIS = "TRAVIS";
    private static final String TRAVIS_DEBUG_MODE = "TRAVIS_DEBUG_MODE";

    @Override
    public Optional<CIInfo> detectCI() {
        String ciEnv = System.getenv(TRAVIS);
        if ("true".equals(ciEnv)) {

    }

    @Test
    void travis() throws Exception {
        assertEquals(TravisCIDetector.NAME + ";", runner(Map.of("TRAVIS", "true")));
    }

    @Test
    void travisDebug() throws Exception {
        assertEquals(
                TravisCIDetector.NAME + "+VERBOSE;", runner(Map.of("TRAVIS", "true", "TRAVIS_DEBUG_MODE", "true")));
    }

* Add XML test coverage to support GitHub Actions. PR [#1737](https://github.com/tiangolo/fastapi/pull/1737).
* Update badges and remove Travis now that GitHub Actions is the main CI. PR [#1736](https://github.com/tiangolo/fastapi/pull/1736).
* Add GitHub Actions for CI, move from Travis. PR [#1735](https://github.com/tiangolo/fastapi/pull/1735).

### Erros maiores - Travamentos { #bigger-errors-crashes }

No entanto, pode haver casos em que escrevemos algum código que **trava todo o aplicativo**, fazendo com que o Uvicorn e o Python travem. 💥

Pero aquí está la parte divertida. ✨

La forma "oficial" de acceder a la app sería a través del proxy con el prefijo de path que definimos. Así que, como esperaríamos, si intentas usar la UI de los docs servida por Uvicorn directamente, sin el prefijo de path en la URL, no funcionará, porque espera ser accedida a través del proxy.

// https://www.iana.org/domains/root/db/grainger.html
grainger

// graphics : Binky Moon, LLC
// https://www.iana.org/domains/root/db/graphics.html
graphics

// gratis : Binky Moon, LLC
// https://www.iana.org/domains/root/db/gratis.html
gratis

// green : Identity Digital Limited
// https://www.iana.org/domains/root/db/green.html
green

// gripe : Binky Moon, LLC

        return item

    @app.get("/items/")
    def read_items() -> list[Item]:
        return [
            Item(
                name="Portal Gun",
                description="Device to travel through the multi-rick-verse",
                sub=SubItem(subname="subname"),
            ),
            Item(name="Plumbus"),
        ]

    @app.post("/with-computed-field/")
    def create_with_computed_field(

    /**
     * When potential deadlock is detected, this policy results in the throwing of the {@code
     * PotentialDeadlockException} indicating the potential deadlock, which includes stack traces
     * illustrating the cycle in lock acquisition order.
     */
    THROW {
      @Override
      public void handlePotentialDeadlock(PotentialDeadlockException e) {
        throw e;
      }
    },

Et comme la plupart du temps d'exécution est pris par du "vrai" travail (et non de l'attente), et que le travail dans un ordinateur est fait par un <abbr title="Central Processing Unit">CPU</abbr>, ce sont des problèmes dits "CPU bound".

---

Des exemples communs d'opérations "CPU bounds" sont les procédés qui requièrent des traitements mathématiques complexes.

Par exemple :

     * Used for audit trail purposes to track who made changes.
     */
    @Size(max = 1000)
    public String updatedBy;

    /**
     * The timestamp when this elevate word configuration was last updated.
     * Stored as a long value representing milliseconds since epoch.
     * Used for audit trail and concurrency control.
     */
    @ValidateTypeFailure