///

### Aynı Uygulamada Pydantic v1 ve v2 { #pydantic-v1-and-v2-on-the-same-app }

Pydantic açısından, alanları (field) Pydantic v1 modelleriyle tanımlanmış bir Pydantic v2 modeli (ya da tersi) kullanmak **desteklenmez**.

```mermaid
graph TB
    subgraph "❌ Not Supported"
        direction TB
        subgraph V2["Pydantic v2 Model"]

          Entry<K, V> onlyEntry = requireNonNull(entries[0]);
          return of(onlyEntry.getKey(), onlyEntry.getValue());
        default:
          break;
      }
      // localEntries is an alias for the entries field, except if we end up removing duplicates in
      // a copy of the entries array. Likewise, localSize is the same as size except in that case.

## Завантаження кількох файлів { #multiple-file-uploads }

Можна завантажувати кілька файлів одночасно.

Вони будуть пов’язані з одним і тим самим «form field», який передається у вигляді «form data».

Щоб це реалізувати, потрібно оголосити список `bytes` або `UploadFile`:

{* ../../docs_src/request_files/tutorial002_an_py310.py hl[10,15] *}

@SuppressWarnings("serial") // SimpleTypeToken is the serialized form.
public abstract class TypeToken<T> extends TypeCapture<T> implements Serializable {

  private final Type runtimeType;

  /** Resolver for resolving parameter and field types with {@link #runtimeType} as context. */
  @LazyInit private transient @Nullable TypeResolver invariantTypeResolver;

  /** Resolver for resolving covariant types with {@link #runtimeType} as context. */

## Rastgele `dict` ile Response { #response-with-arbitrary-dict }

Bir Pydantic modeli kullanmadan, sadece key ve value type'larını belirterek düz, rastgele bir `dict` ile de response tanımlayabilirsiniz.

Bu, geçerli field/attribute adlarını (Pydantic modeli için gerekli olurdu) önceden bilmiyorsanız kullanışlıdır.

Bu durumda `dict` kullanabilirsiniz:

{* ../../docs_src/extra_models/tutorial005_py310.py hl[6] *}

## Özet { #recap }

Bunu, `Annotated` içinde [Pydantic’in `AfterValidator`](https://docs.pydantic.dev/latest/concepts/validators/#field-after-validator)’ını kullanarak yapabilirsiniz.

/// tip | İpucu

Pydantic’te [`BeforeValidator`](https://docs.pydantic.dev/latest/concepts/validators/#field-before-validator) ve başka validator’lar da vardır. 🤓

///

* `table=True` le dice a SQLModel que este es un *modelo de tabla*, que debe representar una **tabla** en la base de datos SQL, no es solo un *modelo de datos* (como lo sería cualquier otra clase regular de Pydantic).

* `Field(primary_key=True)` le dice a SQLModel que `id` es la **clave primaria** en la base de datos SQL (puedes aprender más sobre claves primarias de SQL en la documentación de SQLModel).

            ],
            "msg": "value is not a valid integer",
            "type": "type_error.integer"
        }
    ]
}
```

eine Textversion mit:

```
Validation errors:
Field: ('path', 'item_id'), Error: Input should be a valid integer, unable to parse string as an integer
```

### Überschreiben des `HTTPException`-Fehlerhandlers { #override-the-httpexception-error-handler }

        // This is a simplified way to get a transport context into the servlet.
        // A more robust solution might involve reflection or modifying the servlet for testability.
        try {
            java.lang.reflect.Field transportContextField = NtlmServlet.class.getDeclaredField("transportContext");
            transportContextField.setAccessible(true);
            transportContextField.set(ntlmServlet, cifsContext);
        } catch (Exception e) {

    /**
     * Sets the socket factory used to secure HTTPS connections. If unset, the system default will
     * be used.
     *
     * @deprecated [SSLSocketFactory] does not expose its [X509TrustManager], which is a field that
     *     OkHttp needs to build a clean certificate chain. This method instead must use reflection
     *     to extract the trust manager. Applications should prefer to call