///

Este parámetro no crea ese endpoint / *path operation*, pero declara que la URL `/token` será la que el cliente deberá usar para obtener el token. Esa información se usa en OpenAPI, y luego en los sistemas de documentación interactiva del API.

Pronto también crearemos la verdadera *path operation*.

    public void testMethodOverrides() throws NoSuchMethodException {
        // Given
        Class<?> clazz = SmbComTreeDisconnect.class;

        // When & Then - verify methods are declared in this class (overridden)
        Method writeParameterWords = clazz.getDeclaredMethod("writeParameterWordsWireFormat", byte[].class, int.class);
        assertNotNull(writeParameterWords);

      <groupId>com.google.guava</groupId>
      <artifactId>guava</artifactId>
      <version>${project.version}</version>
    </dependency>
    <!-- We redeclare the j2objc-annotations dependency from `guava`: Our Gradle
         Module Metadata hides the dependency declared in `guava` from runtime
         configurations downstream, and GWT uses the runtime configuration for

     *       module path, but is also compatible with placement on the class path. Compatibility can
     *       be achieved, for example, by repeating in the {@code META-INF/services/} directory the services
     *       that are declared in the {@code module-info.class} file. In that case, the path type can be chosen
     *       by the plugin.</li>
     *   <li>If a {@link #patchModule(String)} is also set and the main JAR file is placed on the module path,

            assertNotNull(e.getCause());
            assertTrue(e.getCause() instanceof IllegalArgumentException);
        }
    }

    /**
     * Test exception in method that declares throws
     */
    public void test_exceptionInMethod() {
        try {
            methodThatThrowsException();
            fail("Should have thrown CrawlerSystemException");

Escribes Python estándar con tipos:

```Python
from datetime import date

from pydantic import BaseModel

# Declara una variable como un str
# y obtiene soporte del editor dentro de la función
def main(user_id: str):
    return user_id


# Un modelo de Pydantic
class User(BaseModel):
    id: int
    name: str

    }

    /**
     * Test all fields are public and accessible
     */
    @Test
    @DisplayName("Test all fields are public")
    public void testAllFieldsArePublic() {
        // Get all declared fields
        Field[] fields = ServerData.class.getDeclaredFields();

        // Verify we have the expected number of fields
        assertEquals(19, fields.length);

        // Verify all fields are public

Je schrijft gewoon standaard Python met types:

```Python
from datetime import date

from pydantic import BaseModel

# Declareer een variabele als een str
# en krijg editorondersteuning in de functie
def main(user_id: str):
    return user_id


# Een Pydantic model
class User(BaseModel):
    id: int
    name: str
    joined: date

* kubectl could scale custom resource again ([#81342](https://github.com/kubernetes/kubernetes/pull/81342), [@knight42](https://github.com/knight42))
* a CSI driver that supports ephemeral inline volumes must explicitly declare that by providing a CSIDriver object where the new "mode" field is set to "ephemeral" or "persistent+ephemeral" ([#80568](https://github.com/kubernetes/kubernetes/pull/80568), [@pohly](https://github.com/pohly))

///

### Crear el objeto `Settings`

Importa `BaseSettings` de Pydantic y crea una sub-clase, muy similar a un modelo de Pydantic.

De la misma forma que con los modelos de Pydantic, declaras atributos de clase con anotaciones de tipos, y posiblemente, valores por defecto.