Sie können dieselben Validierungs-Funktionen und -Tools verwenden, die Sie für Pydantic-Modelle verwenden, z. B. verschiedene Datentypen und zusätzliche Validierungen mit `Field()`.

{* ../../docs_src/settings/tutorial001_py39.py hl[2,5:8,11] *}

/// tip | Tipp

Für ein schnelles Copy-and-paste verwenden Sie nicht dieses Beispiel, sondern das letzte unten.

///

        void testSetDcerpcSecurityProvider() {
            // When: Setting security provider
            handle.setDcerpcSecurityProvider(mockSecurityProvider);

            // Then: Should not throw exception (private field, no direct verification)
            assertDoesNotThrow(() -> handle.setDcerpcSecurityProvider(mockSecurityProvider));
        }

        @Test
        @DisplayName("Should handle close operation")

        CountDownLatch startLatch = new CountDownLatch(1);
        CountDownLatch endLatch = new CountDownLatch(threadCount);

        // Use AtomicLong to simulate the fixed bytesEncrypted field
        AtomicLong mockBytesEncrypted = new AtomicLong(0);
        AtomicLong totalTime = new AtomicLong(0);
        AtomicInteger operations = new AtomicInteger(0);

        long overallStart = System.nanoTime();

            ],
            "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 }

### Other notable changes

            byte[] buffer = new byte[10];
            int bufferIndex = 0;
            SMBUtil.writeInt2(4, buffer, bufferIndex); // Write structure size = 4
            SMBUtil.writeInt2(0, buffer, bufferIndex + 2); // Reserved field

            // When
            int bytesRead = response.readBytesWireFormat(buffer, bufferIndex);

            // Then
            assertEquals(4, bytesRead);
        }

        @Test

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

você receberá a versão em texto:

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

### Sobrescreva o manipulador de erro `HTTPException` { #override-the-httpexception-error-handler }

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

obtendrás una versión en texto, con:

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

### Sobrescribir el manejador de errores de `HTTPException` { #override-the-httpexception-error-handler }

### API Change

- A CDIDevice field is included in the Device Plugin's `ContainerAllocateResponse`. This field maps to the CDIDevice field in the CRI protocol. ([#118254](https://github.com/kubernetes/kubernetes/pull/118254), [@elezar](https://github.com/elezar)) [SIG Node and Testing]
- ACTION_REQUIRED

* `Field(primary_key=True)`는 SQLModel에 `id`가 SQL 데이터베이스의 **기본 키**임을 알려줍니다 (SQL 기본 키에 대한 자세한 내용은 SQLModel 문서를 참고하세요).

    `int | None` 유형으로 설정하면, SQLModel은 해당 열이 SQL 데이터베이스에서 `INTEGER` 유형이며 `NULLABLE` 값이어야 한다는 것을 알 수 있습니다.

* `Field(index=True)`는 SQLModel에 해당 열에 대해 **SQL 인덱스**를 생성하도록 지시합니다. 이를 통해 데이터베이스에서 이 열으로 필터링된 데이터를 읽을 때 더 빠르게 조회할 수 있습니다.