First check

• I added a very descriptive title to this issue.
• I used the GitHub search to find a similar issue and didn't find it.
• I searched the FastAPI documentation, with the integrated search.
• I already searched in Google "How to X in FastAPI" and didn't find any information.
• I already read and followed all the tutorial in the docs and didn't find an answ

If you send the message:

```
real	0m0.322s
user	0m0.344s
sys	0m0.036s
```

it turns into:

```
real 0m0.322s
user 0m0.344s
sys 0m0.036s
```

when it goes through the server-side markdown renderer. The local echo looks fine.

We are currently running part of the CPython test suite. This is a good place for people new to the project to contribute. Contribution here can come in two ways:

• Fix failing test - Look for tests marked as skipped or xfail and fix RustPython so that the test will pass.
• Add more tests suites - Copy test suite from CPython and mark failing tests with xfail or skip.

In order to run the te

Hi & welcome to Scapy's github ! This page lists issues that you can try to fix if you want to start contributing to Scapy.

This list includes wishes and things added by the maintainers based on the issues that we get, but also issues marked with TODO or XXX that already exist in Scapy's code base (layers). If you want to contribute to the project you might just take care one of the bugs.

Describe the bug

The function typer.main.get_group is annotated as returning a click.Command which isn't wrong because a click.Group is a click.Command, but means I have to cast to group when trying to integrate with existing Click applications.

To Reproduce

Steps to reproduce the behavior with a minimum self-contained file.

Replace each part with your own scenario:

The official instructions say to use joblib for pickling PyOD models.

This fails for AutoEncoders, or any other TensorFlow-backed model as far as I can tell. The error is:

>>> dump(model, 'model.joblib')
...
TypeError: can't pickle _thread.RLock objects

Note that it's not sufficient to save the underlying Keras S