class MySuperContextManager:
    def __init__(self):
        self.db = DBSession()

    def __enter__(self):
        return self.db

    def __exit__(self, exc_type, exc_value, traceback):
        self.db.close()


async def get_db():
    with MySuperContextManager() as db:

<div class="termy">

```console
$ cd ~/code/prisoner-of-azkaban

$ python main.py

// Error importing sirius, it's not installed 😱
Traceback (most recent call last):
    File "main.py", line 1, in <module>
        import sirius
```

</div>

<div class="termy">

```console
$ cd ~/code/prisoner-of-azkaban

$ python main.py

// Fehler beim Importieren von sirius, es ist nicht installiert 😱
Traceback (most recent call last):
    File "main.py", line 1, in <module>
        import sirius
```

</div>

<div class="termy">

```console
$ cd ~/code/prisoner-of-azkaban

$ python main.py

// Erro ao importar o Sirius, ele não está instalado 😱
Traceback (most recent call last):
    File "main.py", line 1, in <module>
        import sirius
```

</div>

<div class="termy">

```console
$ cd ~/code/prisoner-of-azkaban

$ python main.py

// Error importando sirius, no está instalado 😱
Traceback (most recent call last):
    File "main.py", line 1, in <module>
        import sirius
```

</div>

<div class="termy">

```console
$ cd ~/code/prisoner-of-azkaban

$ python main.py

// Error importing sirius, it's not installed 😱
Traceback (most recent call last):
    File "main.py", line 1, in <module>
        import sirius
```

</div>

goroutine labels set through the the `runtime/pprof` package. Setting `tracebacklabels=1`
includes these key/value pairs in the goroutine status header of runtime
tracebacks and debug=2 runtime/pprof stack dumps. This format may change in the future.
(see go.dev/issue/76349)

Go 1.26 added a new `cryptocustomrand` setting that controls whether most crypto/...

    `tf.debugging.enable_traceback_filtering()`. If you are debugging a
    TensorFlow-internal issue (e.g. to prepare a TensorFlow PR), make sure to
    disable traceback filtering. You can check whether this feature is currently
    enabled by calling `tf.debugging.is_traceback_filtering_enabled()`.

    Note that this feature is only available with Python 3.7 or higher.

	startTime := time.Now()
	return func(info objTraceInfoer, err error) {
		duration := time.Since(startTime)
		if globalTrace.NumSubscribers(madmin.TraceBatch) > 0 {
			globalTrace.Publish(batchJobTrace(d, job, startTime, duration, info, attempts, err))
			return
		}
		switch d {
		case batchJobMetricReplication:

    ```
    """

    def __init__(
        self: AppType,
        *,
        debug: Annotated[
            bool,
            Doc(
                """
                Boolean indicating if debug tracebacks should be returned on server
                errors.

                Read more in the
                [Starlette docs for Applications](https://www.starlette.dev/applications/#instantiating-the-application).