Check the usage of __slots__.
Project description
Adding __slots__ to a class in Python is a great way to reduce memory usage. But to work properly, all base classes need to implement it. It turns out it’s easy to forget one class in complex inheritance trees. What’s worse: there is nothing warning you that you messed up.
✨ Until now! ✨
See my blog post for the longer story behind slotscheck.
Quickstart
Usage is quick from the command line:
slotscheck [MODULE]
For example:
$ slotscheck pandas
ERROR: 'pandas.core.internals.array_manager:BaseArrayManager' has slots but inherits from non-slot class.
ERROR: 'pandas.core.internals.array_manager:SingleArrayManager' defines overlapping slots.
ERROR: 'pandas.core.internals.array_manager:SingleArrayManager' has slots but inherits from non-slot class.
ERROR: 'pandas.core.internals.blocks:Block' has slots but inherits from non-slot class.
ERROR: 'pandas.core.internals.blocks:CategoricalBlock' has slots but inherits from non-slot class.
ERROR: 'pandas.core.internals.blocks:DatetimeLikeBlock' has slots but inherits from non-slot class.
ERROR: 'pandas.core.internals.blocks:NumericBlock' has slots but inherits from non-slot class.
ERROR: 'pandas.core.internals.blocks:ObjectBlock' has slots but inherits from non-slot class.
ERROR: 'pandas.core.internals.managers:BaseBlockManager' has slots but inherits from non-slot class.
ERROR: 'pandas.core.internals.managers:SingleBlockManager' has slots but inherits from non-slot class.
Oh no, found some problems!
Now get to fixing – and add slotscheck to your CI pipeline to prevent mistakes from creeping in again!
Use the --help option to find out more.
Could this be a flake8 plugin?
Maybe. But it’d be a lot of work.
The problem is that flake8 plugins need to work without running the code. Many libraries use conditional imports, star imports, re-exports, and define slots with decorators or metaclasses. This all but requires running the code to determine the class tree and slots.
There’s an issue to track any progress on the matter.
Notes
slotscheck will try to import all submodules of the given package. If there are scripts without if __name__ == "__main__": blocks, they may be executed.
Even in the case that slots are not inherited properly, there may still be an advantage to using them (i.e. attribute access speed and some memory savings). However, I’ve found in most cases this is unintentional.
Limited to the CPython implementation for now.
Non pure-Python classes are currently assumed to have slots. This is not necessarily the case, but it is nontrivial to determine.
Installation
It’s available on PyPI.
pip install slotscheck
Project details
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