Why novel? Even a derivative language optimised for LLM usage and palatable to human eyes would be fascinating…

He’s also an idiot 🤣 (only taking about the game, to be clear!)

Sounds useful! Do you have a link to the ones that worked for you?

I’m macOS so actually recommend the Ivanky ones. But: still need KVM to multiplex them (and a desktop) into one set of displays and peripherals…

Oh, try a triple 4K KVM… and it’s still not fucking reliable 😭

...oh I wish social media supported posting code snippets properly :-/

📊 sequence() - Flexible sequence comparisons

Full control over ordering and partial matching:

from testfixtures import sequence

compare(results, expected=sequence(partial=True, ordered=False)(
Record(id=3),
Record(id=5),
]))

🔄 unordered() - Order-independent exact matching

Database queries don't guarantee order? No problem:

from testfixtures import unordered

compare(query_results, expected=unordered([
User(id=1, name='Alice'),
User(id=3, name='Charlie'),
]))

✅ contains() - Check only specific items are present:

from testfixtures import contains
compare(event_log, expected=contains([
Event(type='user.login'),
Event(type='purchase.completed'),
]))

For logging, though, check out LogCapture: testfixtures.readthedocs.io/en/latest/lo...)

🎯 like() - Partial object comparisons:

from testfixtures import compare, like
compare(api.get_users(), expected = [like(User, email='alice@example.com', role='admin')])

Don't worry about attributes you don't care about!

Does this fix circular imports too or just speed of startup?

I think everyone is!

Consider the world around us and you will have your answer ;-)

Why yes, I am working my way through The Complete Robot, why do you ask? 😅