/** The key of the message: Unauthorized request. */
    public static final String ERRORS_unauthorized_request = "{errors.unauthorized_request}";

    /** The key of the message: Failed to print a thread dump. */
    public static final String ERRORS_failed_to_print_thread_dump = "{errors.failed_to_print_thread_dump}";

    /** The key of the message: {0} is not supported. */

```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,
}
```

    printer.namespaceAware = true
    printer.preserveWhitespace = true
    writer.write("<?xml version=\"1.0\"?>\n")

    if (preface != null) {
      writer.write(preface)
    }
    printer.print(xml)
  }
}

Node parseXml(Object path) {
  File xmlFile = project.file(path)
  XmlParser xmlParser = new XmlParser(false, true, true)

- `kubectl exec` and `kubectl attach` now honor the `--quiet` flag which suppresses output from the local binary that could be confused by a script with the remote command output (all non-failure output is hidden). In addition, print inline with exec and attach the list of alternate containers when we default to the first spec.container. ([#99004](https://github.com/kubernetes/kubernetes/pull/99004), [@smarterclayton](https://github.com/smarterclayton)) [SIG CLI]

Por ejemplo, podrías tener un archivo `main.py` con:

```Python hl_lines="3"
import os

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

/// tip | Consejo

El segundo argumento de [`os.getenv()`](https://docs.python.org/3.8/library/os.html#os.getenv) es el valor por defecto a retornar.

Por ejemplo, [puedes usar `with` para leer un archivo](https://docs.python.org/3/tutorial/inputoutput.html#reading-and-writing-files):

```Python
with open("./somefile.txt") as f:
    contents = f.read()
    print(contents)
```

Internamente, `open("./somefile.txt")` crea un objeto llamado "Context Manager".

Cuando el bloque `with` termina, se asegura de cerrar el archivo, incluso si hubo excepciones.

```python
from typing import Any


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

### Types génériques { #generic-types }

```python
from typing import Any


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

### Tipos genéricos { #generic-types }

Algunos tipos pueden tomar "parámetros de tipo" entre corchetes, para definir sus tipos internos, por ejemplo una "lista de strings" se declararía `list[str]`.

```python
from typing import Any


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

### Tipos genéricos { #generic-types }

Alguns tipos podem receber "parâmetros de tipo" entre colchetes, para definir seus tipos internos, por exemplo, uma "lista de strings" seria declarada como `list[str]`.

```

그 다음, 다음과 같이 호출합니다:

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

이제 변수 `user_dict`에 데이터가 포함된 `dict`를 가지게 됩니다(이는 Pydantic 모델 객체가 아닌 `dict`입니다).

그리고 다음과 같이 호출하면:

```Python
print(user_dict)
```

Python의 `dict`가 다음과 같이 출력됩니다:

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