Key:   target.MqttBroker,
			Value: cfg.Broker.String(),
		},
		config.KV{
			Key:   target.MqttTopic,
			Value: cfg.Topic,
		},
		config.KV{
			Key:   target.MqttQoS,
			Value: fmt.Sprintf("%d", cfg.QoS),
		},
		config.KV{
			Key:   target.MqttUsername,
			Value: cfg.User,
		},
		config.KV{
			Key:   target.MqttPassword,
			Value: cfg.Password,
		},
		config.KV{

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

ahora tenemos un `dict` con los datos en la variable `user_dict` (es un `dict` en lugar de un objeto modelo Pydantic).

Y si llamamos a:

```Python
print(user_dict)
```

obtendremos un `dict` de Python con:

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

Например, у вас есть файл `main.py`:

```Python hl_lines="3"
import os

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

/// tip | Совет

        this.out = requireNonNull(out);
    }

    //
    // These are the only methods we need in our primordial logger
    //
    @Override
    public void error(String msg) {
        out.print(ERROR);
        out.println(msg);
    }

    @Override
    public void error(String msg, Throwable t) {
        error(msg);

        if (null != t) {
            t.printStackTrace(out);
        }
    }

	}
}

func newXferStats() *XferStats {
	return &XferStats{
		measure: newRateMeasurement(time.Now()),
		sma:     newSMA(50),
	}
}

func (rx *XferStats) String() string {
	return fmt.Sprintf("curr=%f avg=%f, peak=%f", rx.curr(), rx.Avg, rx.Peak)
}

func (rx *XferStats) curr() float64 {
	if rx.measure == nil {
		return 0.0
	}
	return rx.measure.getExpMovingAvgBytesPerSecond()
}

		w.Header().Set(xhttp.RetryAfter, "60")
	}

	switch err.Code {
	case "InvalidRegion":
		err.Description = fmt.Sprintf("Region does not match; expecting '%s'.", globalSite.Region())
	case "AuthorizationHeaderMalformed":
		err.Description = fmt.Sprintf("The authorization header is malformed; the region is wrong; expecting '%s'.", globalSite.Region())
	}

	// Similar check to http.checkWriteHeaderCode

		{testBuckets[0], "unique/", "", "", 1000, true, ListObjectsInfo{}, resultCasesV[1], nil, true},
	}

	for i, testCase := range testCases {
		t.Run(fmt.Sprintf("%s-Test%d", instanceType, i+1), func(t *testing.T) {
			var err error
			var resultL ListObjectsInfo
			var resultV ListObjectVersionsInfo
			if testCase.versioned {

// 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

		}

		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,

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

we now have a `dict` with the data in the variable `user_dict` (it's a `dict` instead of a Pydantic model object).

And if we call:

```Python
print(user_dict)
```

we would get a Python `dict` with:

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