Can't install causalnex using poetry on new Apple M1 chip

Description

Trying to install causalnex on new M1 chip using poetry generates the following issue:

Because causalnex (0.11.0) depends on scikit-learn (>=0.22.0,<0.22.2.post1 || >0.22.2.post1,<0.24.1 || >0.24.1,<0.25.0)
 and no versions of causalnex match >0.11.0,<0.12.0, causalnex (>=0.11.0,<0.12.0) requires scikit-learn (>=0.22.0,<0.22.2.post1 || >0.22.2.post1,<0.24.1 || >0.24.1,<0.25.0).
So, because your package depends on both scikit-learn (^1.1.3) and causalnex (^0.11.0), version solving failed.

Unfortunately downgrading the version of scikit-learn generates a numpy compatibility error.

  ImportError: numpy is not installed.
        scikit-learn requires numpy >= 1.11.0.
        Installation instructions are available on the scikit-learn website: http://scikit-learn.org/stable/install.html

Context

I migrated to a new computer that has the Apple M1 chip

Steps to Reproduce

Setting up python environment (in my case: 3.8.15)
Installing poetry globally (installation guide)
Run poetry add causalnex to resolve package dependency and install causalnex

Expected Result

I was expecting causalnex to be compatible with at least scikit-learn 1.1.3

Actual Result

I can't install causalnex.

-- If you received an error, place it here.

poetry add causalnex

Because causalnex (0.11.0) depends on scikit-learn (>=0.22.0,<0.22.2.post1 || >0.22.2.post1,<0.24.1 || >0.24.1,<0.25.0)
 and no versions of causalnex match >0.11.0,<0.12.0, causalnex (>=0.11.0,<0.12.0) requires scikit-learn (>=0.22.0,<0.22.2.post1 || >0.22.2.post1,<0.24.1 || >0.24.1,<0.25.0).
So, because your package depends on both scikit-learn (^1.1.3) and causalnex (^0.11.0), version solving failed.

Your Environment

Include as many relevant details about the environment in which you experienced the bug:

CausalNex version used (pip show causalnex):
Python version used (python -V): 3.8.15
Operating system and version: Apple M1

mckinsey / causalnex