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

nous avons maintenant un `dict` avec les données dans la variable `user_dict` (c'est un `dict` au lieu d'un objet modèle Pydantic).

Et si nous appelons :

```Python
print(user_dict)
```

nous obtiendrions un `dict` Python contenant :

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

			idx = i
		}
	} else {
		idx = globalEndpoints.GetPoolIdx(v)
	}

	if idx == -1 {
		apiErr := toAdminAPIErr(ctx, errInvalidArgument)
		apiErr.Description = fmt.Sprintf("specified pool '%s' not found, please specify a valid pool", v)
		// We didn't find any matching pools, invalid input
		writeErrorResponseJSON(ctx, w, apiErr, r.URL)
		return
	}

Zum Beispiel könnten Sie eine Datei `main.py` haben mit:

```Python hl_lines="3"
import os

name = os.getenv("MY_NAME", "World")
print(f"Hello {name} from Python")
```

/// tip | Tipp

Das zweite Argument von [`os.getenv()`](https://docs.python.org/3.8/library/os.html#os.getenv) ist der Defaultwert, der zurückgegeben wird.

                atTotal += pool.Available
                if atTotal > choose && pool.Available > 0 {
                        return pool.Index
                }
        }
        // Should not happen, but print values just in case.
        panic(fmt.Errorf("reached end of serverPools (total: %v, atTotal: %v, choose: %v)", total, atTotal, choose))
}
```

## Other usages

### Advanced use cases with multiple ellipses

		}

		return status, true
	}

	si := o.LocalStorageInfo(ctx, true)

	indexed := make(map[string][]madmin.Disk)
	for _, disk := range si.Disks {
		setIdx := fmt.Sprintf("%d-%d", disk.PoolIndex, disk.SetIndex)
		indexed[setIdx] = append(indexed[setIdx], disk)
	}

	for id, disks := range indexed {
		ss := madmin.SetStatus{
			ID:        id,
			SetIndex:  disks[0].SetIndex,

```

就能以如下方式调用：

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

现在，变量 `user_dict` 中的是包含数据的 `dict`（它是 `dict`，不是 Pydantic 模型对象）。

以如下方式调用：

```Python
print(user_dict)
```

输出的就是 Python `dict`：

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

// The logic to sort by last octet is implemented to
// prefer CIDRs with higher octets, this in-turn skips the
// localhost/loopback address to be not preferred as the
// first ip on the list. Subsequently this list helps us print
// a user friendly message with appropriate values.
func sortIPs(ipList []string) []string {
	if len(ipList) == 1 {
		return ipList
	}

	var ipV4s []net.IP
	var nonIPs []string

	if sc.Parity != 0 {
		return fmt.Appendf(nil, "%s:%d", schemePrefix, sc.Parity), nil
	}
	return []byte{}, nil
}

func (sc *StorageClass) String() string {
	if sc.Parity != 0 {
		return fmt.Sprintf("%s:%d", schemePrefix, sc.Parity)
	}
	return ""
}

// Parses given storageClassEnv and returns a storageClass structure.
// Supported Storage Class format is "Scheme:Number of parity drives".

				return nil
			}

			for typ, data := range data {
				// zip writer only handles one concurrent write
				writeMu.Lock()
				profilingDataFound = true
				err := embedFileInZip(zipWriter, fmt.Sprintf("profile-%s-%s", client.host.String(), typ), data, 0o600)
				writeMu.Unlock()
				if err != nil {
					reqInfo := (&logger.ReqInfo{}).AppendTags("peerAddress", client.host.String())

```python
from typing import Any


def some_function(data: Any):
    print(data)
```

### Generic-типы { #generic-types }

Некоторые типы могут принимать «параметры типов» в квадратных скобках, чтобы определить их внутренние типы. Например, «список строк» объявляется как `list[str]`.