@REM -----------------------------------------------------------------------------
@REM Apache Maven Startup Script
@REM
@REM Environment Variable Prerequisites
@REM
@REM   JAVA_HOME         (Optional) Points to a Java installation.
@REM   MAVEN_ARGS        (Optional) Arguments passed to Maven before CLI arguments.
@REM   MAVEN_BATCH_ECHO  (Optional) Set to 'on' to enable the echoing of the batch commands.

```Python
user_dict = user_in.dict()
```

то теперь у нас есть `dict` с данными модели в переменной `user_dict` (это `dict` вместо объекта Pydantic-модели).

И если мы вызовем:

```Python
print(user_dict)
```

мы можем получить `dict` с такими данными:

```Python
{
    'username': 'john',
    'password': 'secret',
    'email': '******@****.***',
    'full_name': None,
}
```

e depois chamarmos:

```Python
user_dict = user_in.dict()
```

agora temos um `dict` com os dados na variável `user_dict` (é um `dict` em vez de um objeto de modelo Pydantic).

E se chamarmos:

```Python
print(user_dict)
```

teríamos um `dict` Python com:

```Python
{
    'username': 'john',
    'password': 'secret',
    'email': '******@****.***',
    'full_name': None,
}
```

        DfsReferral dr = null;
        long now = System.currentTimeMillis();

        if (DISABLED || root.equals("IPC$")) {
            return null;
        }
        /* domains that can contain DFS points to maps of roots for each
         */
        HashMap domains = getTrustedDomains(auth);
        if (domains != null) {
            domain = domain.toLowerCase();

```

就能以如下方式调用：

```Python
user_dict = user_in.dict()
```

现在，变量 `user_dict`中的就是包含数据的**字典**（变量 `user_dict` 是字典，不是 Pydantic 模型对象）。

以如下方式调用：

```Python
print(user_dict)
```

输出的就是 Python **字典**：

```Python
{
    'username': 'john',
    'password': 'secret',
    'email': '******@****.***',
    'full_name': None,
}
```

#### 解包 `dict`

        });

    bus.post("hello");

    assertEquals(1, calls.get());
  }

  public void testPrimitiveSubscribeFails() {
    class SubscribesToPrimitive {
      @Subscribe
      public void toInt(int i) {}
    }
    assertThrows(IllegalArgumentException.class, () -> bus.register(new SubscribesToPrimitive()));
  }

  /** Records thrown exception information. */

  // +optional
  optional k8s.io.apimachinery.pkg.apis.meta.v1.ListMeta metadata = 1;

  // Items is a list of Roles
  repeated Role items = 2;
}

// RoleRef contains information that points to the role being used
message RoleRef {
  // APIGroup is the group for the resource being referenced
  optional string apiGroup = 1;

  // Kind is the type of resource being referenced
  optional string kind = 2;

	Parts []ObjectPartInfo `json:"parts,omitempty"`

	// Dummy values used for legacy use cases.
	VersionID string `json:"versionId,omitempty"`
	DataDir   string `json:"dataDir,omitempty"` // always points to "legacy"
}

// StatInfo - carries stat information of the object.
type StatInfo struct {
	Size    int64     `json:"size"`    // Size of the object `xl.meta`.

```Python
user_dict = user_in.dict()
```

dann haben wir jetzt in der Variable `user_dict` ein `dict` mit den gleichen Daten (es ist ein `dict` statt eines Pydantic-Modellobjekts).

Wenn wir es ausgeben:

```Python
print(user_dict)
```

bekommen wir ein Python-`dict`:

```Python
{
    'username': 'john',
    'password': 'secret',
    'email': '******@****.***',
    'full_name': None,
}
```

🚥 👆 💚 ⚙️ ⚠ ⤴️ ⏮️ 🎏 🔢 ⚠ 🐕‍🦺 ⚪️➡️ **FastAPI**, 👆 💪 🗄 & 🏤-⚙️ 🔢 ⚠ 🐕‍🦺 ⚪️➡️ `fastapi.exception_handlers`:

```Python hl_lines="2-5  15  21"
{!../../docs_src/handling_errors/tutorial006.py!}
```