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

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,
}
```

-flexbox!important;display:inline-flex!important}}@media print{.d-print-none{display:none!important}.d-print-inline{display:inline!important}.d-print-inline-block{display:inline-block!important}.d-print-block{display:block!important}.d-print-table{display:table!important}.d-print-table-row{display:table-row!important}.d-print-table-cell{display:table-cell!important}.d-print-flex{display:-ms-flexbox!important;display:flex!important}.d-print-inline-flex{display:-ms-inline-flexbox!important;display...

```python
from typing import Any


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

### Generic tipler { #generic-types }

Bazı tipler, köşeli parantez içinde "type parameters" alarak iç tiplerini tanımlayabilir; örneğin "string listesi" `list[str]` olarak bildirilir.

```python
from typing import Any


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

### Generic типи { #generic-types }

Деякі типи можуть приймати «параметри типів» у квадратних дужках, щоб визначити їх внутрішні типи. Наприклад, «list строк» буде оголошений як `list[str]`.

        });

        // Enforce the minimum compiler version
        assertMinimumCompilerVersion(minimumCompilerVersion);

        // Print global build info header just before task execution
        project.getGradle().getTaskGraph().whenReady(graph -> logGlobalBuildInfo());
    }

import kotlin.time.Duration.Companion.nanoseconds
import mockwebserver3.MockResponse
import mockwebserver3.MockWebServer
import mockwebserver3.junit5.StartStop
import okhttp3.CertificatePinner.Companion.pin
import okhttp3.Headers.Companion.headersOf
import okhttp3.internal.connection.ConnectionListener
import okhttp3.internal.platform.Platform
import okhttp3.testing.PlatformRule
import okio.BufferedSink

{* ../../docs_src/handling_errors/tutorial006_py310.py hl[2:5,15,21] *}

{* ../../docs_src/handling_errors/tutorial006_py310.py hl[2:5,15,21] *}

            // Then filter out any known split packages/classes that we want to ignore.
            filterSplitPackages(splitPackages);

            // Finally, print out (and fail) if we have any split packages
            for (var entry : splitPackages.entrySet()) {
                String packageName = entry.getKey();
                List<File> deps = dependencyPackages.get(packageName);

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

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

Und wenn wir aufrufen:

```Python
print(user_dict)
```

würden wir ein Python-`dict` erhalten mit:

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