}
```

但是你也可以声明多个请求体参数，例如 `item` 和 `user`：

{* ../../docs_src/body_multiple_params/tutorial002_py310.py hl[20] *}

在这种情况下，**FastAPI** 将注意到该函数中有多个请求体参数（两个 Pydantic 模型参数）。

因此，它将使用参数名称作为请求体中的键（字段名称），并期望一个类似于以下内容的请求体：

```JSON
{
    "item": {
        "name": "Foo",
        "description": "The pretender",
        "price": 42.0,
        "tax": 3.2
    },
    "user": {
        "username": "dave",

*----+------+------+
| <<<*>>> | Java system properties (see {{{https://docs.oracle.com/javase/8/docs/api/java/lang/System.html#getProperties()}JDK reference}}) | <<<$\{user.home\}>>>\
 | | <<<$\{java.home\}>>> |
*----+------+------+
| <<<*>>> | User properties | <<<$\{foo\}>>> |
*----+------+------+
| <<<env.*>>>\

 */

/**
 * An abstract class for NTLM authentication in SMB1 protocol.
 * Provides a callback mechanism for retrieving user credentials when authentication is required.
 */
public abstract class NtlmAuthenticator {

    /**
     * Default constructor.
     */
    protected NtlmAuthenticator() {

# Interval for system monitor in thumbnail processing.
thumbnail.system.monitor.interval=60

# user

# User code settings
user.code.request.parameter=userCode
# User code minimum length.
user.code.min.length=20
# User code maximum length.
user.code.max.length=100
# User code pattern for validation.
user.code.pattern=[a-zA-Z0-9_]+

# ----------------------------------------------------------

labels.role_details=Role Details
labels.scheduledjob_details=Scheduled Job Details
labels.search_log_details=Search Log Details
labels.user_details=User Details
labels.web_auth_details=Web Authentication Details
labels.web_config_details=Web Config Details
labels.web_auth_list=Web Authentication List
labels.user_list=User List
labels.suggest_word_list=Suggest Word List
labels.storage_list=Storage List
labels.search_log_list=Search Log List

# Tutorial - Guía del Usuario { #tutorial-user-guide }

Este tutorial te muestra cómo usar **FastAPI** con la mayoría de sus funcionalidades, paso a paso.

Cada sección se basa gradualmente en las anteriores, pero está estructurada para separar temas, de manera que puedas ir directamente a cualquier sección específica para resolver tus necesidades específicas de API.

    return user_id


# Ein Pydantic-Modell
class User(BaseModel):
    id: int
    name: str
    joined: date
```

Das kann nun wie folgt verwendet werden:

```Python
my_user: User = User(id=3, name="John Doe", joined="2018-07-19")

second_user_data = {
    "id": 4,
    "name": "Mary",
    "joined": "2018-11-30",
}

my_second_user: User = User(**second_user_data)
```

/// info | Info

    return user_id


# Pydantic modeli
class User(BaseModel):
    id: int
    name: str
    joined: date
```

Sonrasında bu şekilde kullanabilirsin

```Python
my_user: User = User(id=3, name="John Doe", joined="2018-07-19")

second_user_data = {
    "id": 4,
    "name": "Mary",
    "joined": "2018-11-30",
}

my_second_user: User = User(**second_user_data)
```

/// info

```json
{
    "user": <string>,
    "maxValiditySeconds": <integer>,
    "claims": <key-value-pairs>
}
```

| Parameter Name     | Value Type                              | Purpose                                                |
|--------------------|-----------------------------------------|--------------------------------------------------------|

      Assert.assertEquals(hashFunction.bits(), hashcode1.asBytes().length * 8);
      hashcodes.add(hashcode1);
    }
    assertThat((double) hashcodes.size()).isGreaterThan(objects * 0.95); // quite relaxed test

    assertHashBytesThrowsCorrectExceptions(hashFunction);
    assertIndependentHashers(hashFunction);
    assertShortcutsAreEquivalent(hashFunction, 512);
  }