Por ejemplo, hay una [Imagen de Python](https://hub.docker.com/_/python) oficial.

Y hay muchas otras imágenes para diferentes cosas como bases de datos, por ejemplo para:

* [PostgreSQL](https://hub.docker.com/_/postgres)
* [MySQL](https://hub.docker.com/_/mysql)
* [MongoDB](https://hub.docker.com/_/mongo)
* [Redis](https://hub.docker.com/_/redis), etc.

 * but was not itself a public suffix. However, this test is no longer accurate. There are many
 * domains which are both public suffixes and addressable as hosts; {@code "uk.com"} is one example.
 * Using the subset of public suffixes that are {@linkplain #isRegistrySuffix() registry suffixes},
 * one can get a better result, as only a few registry suffixes are addressable. However, the most

        }
        return map;
    }

    /**
     * Generates a unique document ID from the provided data map.
     * Constructs an ID string from URL, roles, and virtual hosts, then generates a hash.
     *
     * @param dataMap the document data map containing URL, roles, and virtual host information
     * @return a unique hashed ID string for the document
     */

        // their own environments if they really want to.
        if (BuildParams.isCi() == false) {
            return false;
        }

        // Only some hosts in CI are configured with Docker. We attempt to work out the OS
        // and version, so that we know whether to expect to find Docker. We don't attempt

*   Include unit tests when you contribute new features, as they help to a)
    prove that your code works correctly, and b) guard against future breaking
    changes to lower the maintenance cost.
*   Bug fixes also generally require unit tests, because the presence of bugs
    usually indicates insufficient test coverage.
*   Keep API compatibility in mind when you change code in core TensorFlow,
    e.g., code in

   *
   * Note well that if, for this function, we chose a horizontal line, at height of exactly (1/QPS),
   * then the effect of the function is non-existent: we serve storedPermits at exactly the same
   * cost as fresh ones (1/QPS is the cost for each). We use this trick later.
   *
   * If we pick a function that goes /below/ that horizontal line, it means that we reduce the area

      .url(url)
      .build();

  try (Response response = client.newCall(request).execute()) {
    return response.body().string();
  }
}
```


Post to a Server
----------------

This program posts data to a service. [Full source][post_example].

```java
public static final MediaType JSON = MediaType.get("application/json");

OkHttpClient client = new OkHttpClient();

///

/// tip | Consejo

Nota que en este caso estamos usando una función estándar de Python `open()` que interactúa con un archivo.

Entonces, involucra I/O (entrada/salida), que requiere "esperar" para que las cosas se escriban en el disco.

Pero `open()` no usa `async` y `await`.

Por eso, declaramos la función manejadora del evento con `def` estándar en vez de `async def`.

///

  DEVICE_PLACEMENT_EXPLICIT = 0,
  // Copy the tensor to the right device but log a warning.
  DEVICE_PLACEMENT_WARN = 1,
  // Silently copy the tensor, which has a performance cost since the operation
  // will be blocked till the copy completes. This is the default policy.
  DEVICE_PLACEMENT_SILENT = 2,
  // Placement policy which silently copies int32 tensors but not other dtypes.

* `$`: termina allí, no tiene más caracteres después de `fixedquery`.

Si te sientes perdido con todas estas ideas de "expresión regular", no te preocupes. Son un tema difícil para muchas personas. Aún puedes hacer muchas cosas sin necesitar expresiones regulares todavía.

Ahora sabes que cuando las necesites puedes usarlas en **FastAPI**.

## Valores por defecto { #default-values }