DBUser(name="Jane", surname="Does", password_hash="secret2"),
    ]


@app.get("/no_response_model-annotation_list_of_model")
def no_response_model_annotation_list_of_model() -> List[User]:
    return [
        DBUser(name="John", surname="Doe", password_hash="secret"),
        DBUser(name="Jane", surname="Does", password_hash="secret2"),
    ]

## Thanks to our Contributors

This release contains contributions from many people at Google, as well as:

OpenID Connect authenticator can now use a custom prefix, or omit the default prefix, for username and groups claims through the --oidc-username-prefix and --oidc-groups-prefix flags. For example, the authenticator can map a user with the username "jane" to "google:jane" by supplying the "google:" username prefix. ([#50875](https://github.com/kubernetes/kubernetes/pull/50875), [@ericchiang](https://github.com/ericchiang))

* The bootstrap token authenticator can now configure tokens with...

	xlStorageFormatFileV1 = "xl.json"
)

// Valid - tells us if the format is sane by validating
// format version and erasure coding information.
func (m *xlMetaV1Object) valid() bool {
	return isXLMetaFormatValid(m.Version, m.Format) &&
		isXLMetaErasureInfoValid(m.Erasure.DataBlocks, m.Erasure.ParityBlocks)
}

// Verifies if the backend format metadata is sane by validating
// the version string and format style.

    * Automatyczne i przejrzyste błędy gdy dane są niepoprawne.
    * Walidacja nawet dla głęboko zagnieżdżonych obiektów JSON.
* <abbr title="znane również jako: serializacja, przetwarzanie, marshalling">Konwersja</abbr> danych wejściowych: przychodzących z sieci na Pythonowe typy. Pozwala na przetwarzanie danych:
    * JSON.
    * Parametrów ścieżki.
    * Parametrów zapytania.
    * Dane cookies.
    * Dane nagłówków (headers).

contiene el valor que retornaste, filtrado por cualquier `response_model`.

También puedes declarar la dependencia del parámetro `Response`, y establecer el código de estado en ellos. Pero ten en cuenta que el último en establecerse será el que gane....

```

////

//// tab | Python 3.8+

```Python hl_lines="10"
{!> ../../docs_src/query_params/tutorial006.py!}
```

////

Bu durumda, 3 tane sorgu parametresi var olacaktır:

* `needy`, zorunlu bir `str`.
* `skip`, varsayılan değeri `0` olan bir `int`.
* `limit`, isteğe bağlı bir `int`.

/// tip | "İpucu"

### Create a backup job

#### Backup Virtual Machines with Veeam Backup and Replication

- Under Home > Jobs > Backup in Navigation Pane, click on Backup Job button in the ribbon and choose Virtual Machine. Follow the on screen wizard.

- On the Storage screen, choose the Scale-out Backup Repository that was configured previously.

      processCalled--; // don't count the tail invocation (makes tests a bit more understandable)
    }

    // ensures that the number of invocations looks sane
    void assertInvariants(int expectedBytes) {
      // we should have seen as many bytes as the next multiple of chunk after expectedBytes - 1
      assertEquals(out.toByteArray().length, ceilToMultiple(expectedBytes, chunkSize));

      processCalled--; // don't count the tail invocation (makes tests a bit more understandable)
    }

    // ensures that the number of invocations looks sane
    void assertInvariants(int expectedBytes) {
      // we should have seen as many bytes as the next multiple of chunk after expectedBytes - 1
      assertEquals(out.toByteArray().length, ceilToMultiple(expectedBytes, chunkSize));