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Multiple dispatch in Python
It would be useful to have a list of projects that use plum, or even other Python MD libraries. Best would be OSS so we can see exactly how it...
Hi, thanks for the nice project! I found that the [_types_of_iterable](https://github.com/wesselb/plum/blob/fb1ecf1733147d23fbb08d3f37b65425d76e9465/plum/parametric.py#L613) could be very slow if the iterable is very large. This could be a big problem for practical application....
How do doc strings work with several methods? It would be nice to put different doc strings in different methods. I don't think this works. Is there a recommended way...
If my benchmarks are accurate (using `benchmark.py`), cythonising `plum.function` is at best 2x faster. For our use-case — a high-level framework on top of lower-level libraries like `numpy` and `torch`...
If I use pylance to type check functions in Python, all multiple-dispatched functions are shown as > Function declaration "name_of_function" is obscured by a declaration of the same name I...
It seems that the plum has issue in dispatch function when the output is Generator I have the sample code as ``` from typing import Generator, List from plum import...
See [this comment](https://github.com/fastai/fastcore/pull/415#discussion_r895616219).
It would be great if we could offer some ' closest methods matches' when hitting an error, similarly to what Julia does. If @wesselb you pointed me in the right...
Simple example: ```python from typing import TypeVar, Generic from plum import dispatch T = TypeVar('T') class FooBar: pass class Foo(Generic[T]): pass class Bar: def __init__(self): pass @dispatch def some_method(self, foo:...
I am working with nested NumPy arrays (arrays of arrays) and I want to dispatch based on its nesting level. ```python from plum import dispatch def something(a: NestedArray[0]): pass def...
