}
    }

    /**
     * Validate string from server response
     *
     * @param str string to validate
     * @param maxLength maximum allowed length
     * @param fieldName field name for error messages
     * @throws SmbException if string is invalid
     */
    public void validateString(String str, int maxLength, String fieldName) throws SmbException {
        totalValidations.incrementAndGet();

import static org.mockito.Mockito.mockStatic;
import static org.mockito.Mockito.times;
import static org.mockito.Mockito.verify;
import static org.mockito.Mockito.when;

import java.lang.reflect.Field;

import org.bouncycastle.asn1.ASN1ObjectIdentifier;
import org.ietf.jgss.GSSContext;
import org.ietf.jgss.GSSCredential;
import org.ietf.jgss.GSSException;
import org.ietf.jgss.GSSManager;

        // Test that the exception is serializable
        ScheduledJobException exception = new ScheduledJobException("Serialization test");

        // Verify that the exception has serialVersionUID field (won't compile if not present)
        assertTrue(exception instanceof java.io.Serializable);
    }

    public void test_longMessage() {
        // Test with very long message

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

Da `needy` ein erforderlicher Parameter ist, müssen Sie ihn in der URL setzen:

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

En ese caso, simplemente puedes intercambiar los `dataclasses` estándar con `pydantic.dataclasses`, que es un reemplazo directo:

{* ../../docs_src/dataclasses/tutorial003.py hl[1,5,8:11,14:17,23:25,28] *}

1. Todavía importamos `field` de los `dataclasses` estándar.

2. `pydantic.dataclasses` es un reemplazo directo para `dataclasses`.

3. El dataclass `Author` incluye una lista de dataclasses `Item`.

```{ .python .annotate hl_lines="1  5  8-11  14-17  23-25  28" }
{!../../docs_src/dataclasses/tutorial003.py!}
```

1. Ainda importamos `field` das `dataclasses` padrão.

2. `pydantic.dataclasses` é um substituto direto para `dataclasses`.

3. A dataclass `Author` inclui uma lista de dataclasses `Item`.

👈 💼, 👆 💪 🎯 💱 🐩 `dataclasses` ⏮️ `pydantic.dataclasses`, ❔ 💧-♻:

```{ .python .annotate hl_lines="1  5  8-11  14-17  23-25  28" }
{!../../docs_src/dataclasses/tutorial003.py!}
```

1️⃣. 👥 🗄 `field` ⚪️➡️ 🐩 `dataclasses`.

2️⃣. `pydantic.dataclasses` 💧-♻ `dataclasses`.

3️⃣. `Author` 🎻 🔌 📇 `Item` 🎻.

4️⃣. `Author` 🎻 ⚙️ `response_model` 🔢.

5️⃣. 👆 💪 ⚙️ 🎏 🐩 🆎 ✍ ⏮️ 🎻 📨 💪.

                    for (FileItem item : multiparts) {
                        if (!item.isFormField()) {
                            // item is not form field.
                        } else {
                            String name = item.getFieldName();
                            String value = item.getString();

        // SMB_COM_LOGOFF_ANDX = 0x74
        assertEquals((byte) 0x74, msg.command, "Command should be SMB_COM_LOGOFF_ANDX");
    }

    @Test
    @DisplayName("constructor with mock andx properly sets andx field")
    void constructorWithMockAndx() {
        // Create a mock ServerMessageBlock
        ServerMessageBlock mockAndx = mock(ServerMessageBlock.class);

{* ../../docs_src/cookie_param_models/tutorial001_an_py310.py hl[9:12,16] *}

**FastAPI** will **extract** the data for **each field** from the **cookies** received in the request and give you the Pydantic model you defined.

## Check the Docs { #check-the-docs }

You can see the defined cookies in the docs UI at `/docs`:

<div class="screenshot">