* A `skip` query parameter that is an `int`, with a default of `0`.
* A `limit` query parameter that is an `int`, with a default of `100`.

In both cases the data will be converted, validated, documented on the OpenAPI schema, etc.

## Use it

Now you can declare your dependency using this class.

//// tab | Python 3.10+

```Python hl_lines="19"
{!> ../../docs_src/dependencies/tutorial002_an_py310.py!}
```

////

després
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estàvem
estaven
estàveu
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This is different from using an `APIRouter` as a mounted application is completely independent. The OpenAPI and docs from your main application won't include anything from the mounted application, etc.

You can read more about this in the [Advanced User Guide](../advanced/index.md){.internal-link target=_blank}.

## Details

    hostname: minio8
    volumes:
      - pdata8-1:/pdata1
      - pdata8-2:/pdata2
      
  nginx:
    image: nginx:1.19.2-alpine
    hostname: nginx
    volumes:
      - ./nginx-8-node.conf:/etc/nginx/nginx.conf:ro
    ports:
      - "9000:9000"
      - "9001:9001"
    depends_on:
      - minio1
      - minio2
      - minio3
      - minio4
      - minio5
      - minio6
      - minio7

    * <a href="https://fastapi.tiangolo.com/features/" class="external-link" target="_blank">**Et bien d'autres fonctionnalités**</a> comme la validation automatique, la sérialisation, l'authentification avec OAuth2 JWT tokens, etc.
* Hashage de **mots de passe sécurisé** par défaut.
* Authentification par **jetons JWT**.
* Modèles **SQLAlchemy** (indépendants des extensions Flask, afin qu'ils puissent être utilisés directement avec des *workers* Celery).

 * that wrap {@link MessageDigest}s.
 *
 * <p>Parameters for the benchmark are:
 *
 * <ul>
 *   <li>size: The length of the byte array to hash.
 *   <li>algorithm: the algorithm to hash with (e.g. MD5, SHA1, etc.).
 *   <li>hashMethod: how to hash the data (using the Hashing API or the MessageDigest API).
 * </ul>
 *
 * @author Kurt Alfred Kluever
 */
public class MessageDigestAlgorithmBenchmark {

 * that wrap {@link MessageDigest}s.
 *
 * <p>Parameters for the benchmark are:
 *
 * <ul>
 *   <li>size: The length of the byte array to hash.
 *   <li>algorithm: the algorithm to hash with (e.g. MD5, SHA1, etc.).
 *   <li>hashMethod: how to hash the data (using the Hashing API or the MessageDigest API).
 * </ul>
 *
 * @author Kurt Alfred Kluever
 */
public class MessageDigestAlgorithmBenchmark {

	}

	return false
}

// BySize returns true when sz satisfies a
// ObjectSizeLessThan/ObjectSizeGreaterthan or a logical AND of these predicates
// Note: And combines size and other predicates like Tags, Prefix, etc. This
// method applies exclusively to size predicates only.
func (a And) BySize(sz int64) bool {
	if a.ObjectSizeGreaterThan > 0 &&
		sz <= a.ObjectSizeGreaterThan {
		return false
	}
	if a.ObjectSizeLessThan > 0 &&

# JSON Compatible Encoder

There are some cases where you might need to convert a data type (like a Pydantic model) to something compatible with JSON (like a `dict`, `list`, etc).

For example, if you need to store it in a database.

For that, **FastAPI** provides a `jsonable_encoder()` function.

## Using the `jsonable_encoder`

Let's imagine that you have a database `fake_db` that only receives JSON compatible data.

```Python hl_lines="1  9  12"
{!../../docs_src/response_change_status_code/tutorial001.py!}
```

And then you can return any object you need, as you normally would (a `dict`, a database model, etc).

And if you declared a `response_model`, it will still be used to filter and convert the object you returned.