Idiomatic Python favours EAFP (Easier to Ask Forgiveness than Permission) over LBYL (Look Before You Leap), so you might write something like this when using TypedDicts:
try:
foo = bar["baz"]["qux"]
...
except KeyError:
...
Pyright warns you about this and pushes you to write this: if "baz" in bar and "qux" in bar["baz"]:
foo = bar["baz"]["qux"]
...
else:
...
They identified this as a bug and fixed it, then changed course and decided to reinstate the behaviour. So if you want to write idiomatic Python, you need to disable typechecking TypedDicts.— https://github.com/microsoft/pyright/issues/1739
Now if this were a linter then I would understand. But a type checker should not be opinionated to the point of pushing people not to use idiomatic Python.
if bar.get("baz", {}).get("qux") is not None:
...* Was overwhelmingly slower than mypy
* Had a few hundred more false positives. I gather from reading their philosophy afterward that this was on purpose. Rigid dogma > doing the right thing in the circumstance in their opinion.
* Did not find any actual bugs, whereas mypy identified 3 errors that lead to fixing real issues AND had fewer false positives, due to its better understanding of python code.
* Comically overweight with its typescript dependency.
My first impression of it was of a very low quality, over engineered project prioritizing noise over signal. Looking forward to trying out the astral typechecker as well.
But I’ve had the same issue with too many warnings, mypy is better at understanding Python but even slower.
As for version bumping, maybe it’s just a me thing, but I hard fix a version and only update occasionally. Sure each update brings new warnings, but most of them are valid and if you only do it a couple times a year… not that big a deal.
The only thing I found it ‘missing’ was an indentation check (it’s in preview, I don’t turn on preview rules), but I realized it doesn’t matter because we also have a formatter running on everything.
The dependency on node makes it a PITA to set up in non-vs code environments as well.
I agree that most of the functionality on top of the type checker/engine is better in pycharm though. But a correct implementation is more important