그런 경우 표준 `dataclasses`를 드롭인 대체재인 `pydantic.dataclasses`로 간단히 바꾸면 됩니다:

{* ../../docs_src/dataclasses_/tutorial003_py310.py hl[1,4,7:10,13:16,22:24,27] *}

1. 표준 `dataclasses`에서 `field`를 계속 임포트합니다.

2. `pydantic.dataclasses`는 `dataclasses`의 드롭인 대체재입니다.

3. `Author` dataclass에는 `Item` dataclasses의 리스트가 포함됩니다.

4. `Author` dataclass가 `response_model` 매개변수로 사용됩니다.

        assertEquals((byte) 0xFF, buf[1]);
        assertNull(block.andx, "andx should be cleared when batching prevented");
    }

    @Test
    @DisplayName("writeAndXWireFormat chains non-AndX SMB and propagates header fields")
    void testWriteAndXWireFormatChainsPlainSMB() {
        DummyPlainSMB next = new DummyPlainSMB();
        DummyAndXBlock block = new DummyAndXBlock(next);

            byte[] buffer = new byte[10];
            int bufferIndex = 2;
            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

```

...필수 매개변수 `needy`를 넣지 않았기 때문에 아래와 같은 오류를 보게 됩니다:

```JSON
{
  "detail": [
    {
      "type": "missing",
      "loc": [
        "query",
        "needy"
      ],
      "msg": "Field required",
      "input": null
    }
  ]
}
```

`needy`는 필수 매개변수이므로 URL에 반드시 설정해줘야 합니다:

```
http://127.0.0.1:8000/items/foo-item?needy=sooooneedy
```

...아래처럼 작동합니다:

        NtlmPasswordAuthenticator cloned = new NtlmPasswordAuthenticator();
        cloneInternal(cloned, this);
        return cloned;
    }

    /**
     * Clone internal fields from one authenticator to another.
     *
     * @param cloned the target authenticator to copy to
     * @param toClone the source authenticator to copy from
     */

Этого можно добиться, используя [`AfterValidator` Pydantic](https://docs.pydantic.dev/latest/concepts/validators/#field-after-validator) внутри `Annotated`.

/// tip | Совет

В Pydantic также есть [`BeforeValidator`](https://docs.pydantic.dev/latest/concepts/validators/#field-before-validator) и другие. 🤓

///

 *   <li>TRACE</li>
 * </ul>
 *
 * <p>The Curl class also defines an enum {@link Method} which lists all supported HTTP methods.</p>
 *
 * <p>The temporary directory used by Curl is defined by the {@code tmpDir} field, which is initialized
 * to the system's temporary directory.</p>
 */
public class Curl {

    /**
     * The temporary directory used by Curl. It is initialized to the system's temporary directory.
     */

```JSON
{
  "detail": [
    {
      "type": "missing",
      "loc": [
        "query",
        "needy"
      ],
      "msg": "Field required",
      "input": null
    }
  ]
}
```

Comme `needy` est un paramètre requis, vous devez le définir dans l'URL :

```
http://127.0.0.1:8000/items/foo-item?needy=sooooneedy
```

///

### 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"]

    static final GetCheckedTypeValidator BEST_VALIDATOR = getBestValidator();

    enum WeakSetValidator implements GetCheckedTypeValidator {
      INSTANCE;

      /*
       * Static final fields are presumed to be fastest, based on our experience with
       * UnsignedBytesBenchmark. TODO(cpovirk): benchmark this
       */
      /*