Comments (1)
As a rule of thumb, one should not expect to get the same exception message from the decorated function as if it was not.
It still gives the correct exception type, however, but totally unintuitive stacktrace.
I agree this seems like a very likely place to run into exceptions. I will have a look if anything can be done about the clarity of such exceptions at this moment.
Thanks.
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Related Issues (20)
- License file
- enforce on static methods HOT 1
- runtime_validation yields a false positive when inheritance is involved HOT 2
- enforce is not transparent for Callable types - EnforceProxy HOT 2
- Typing error HOT 1
- It's impossible to install v 0.3.5 (`dev` branch) HOT 1
- Enable `runtime_validation` package/module-wide
- TypeError: 'NoneType' object is not iterable when using Optional[Tuple[str, str]]
- __init__ signature is not preserved for Generic classes HOT 1
- "User defined generic does not accept provided constraints" error when 'Type' is used in hint HOT 4
- Type check mypy TypedDict
- enforce ignore default values
- not compatible with python 3.7 HOT 9
- Forward references on classes
- @runtime_validation leaks refcounts and therefore causes memory leaks
- New enforce fork for Python 3.5.10, 3.6, 3.7, 3.8, 3.9 HOT 10
- `AttributeError: can't set attribute` with namedtuple HOT 1
- Python 3.8 AttributeError: module 'typing' has no attribute 'TupleMeta' HOT 1
- Data validation via `typing.Annotated`
- Support for `@overload`ed callables
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