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

Create an incoming webhook integration for Patreon. The main use case is getting notifications when new patrons sign up.

Patreon webhook documentation: https://docs.patreon.com/#webhooks

Now that Zulip has a Patreon page, it would be great to be able to monitor new sign-ups!

See e.g. #2570. Some of the unit tests there with "wrong error message" should be somewhat easy to fix - just correct the error message we have to match CPython's. Others might be trickier, since you'll need to add diagnostics to recognize bad syntax and give a more detailed error than "unexpected token". Also, I think around half of them could be fixed just by adding "invalid syntax" in the messa

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