AttributeError when using skopt.gp_minimize (numpy 1.24.0)

[ChromaticIsobar]

I frequently use skopt.gp_minimize. But, since numpy version 1.24.0, it raises an exception

AttributeError: module 'numpy' has no attribute 'int'

This issue has been anticipated for some time, in the form of a deprecation warning, and it is targeted by PR #1093 and #1123.
I think it is redundant for me to contribute with my own PR, since #1123 seems to solve the problem, but fails validation because of seemingly independent issues with the circleci automation.

In the meantime I will just have to manually add a constraint on the numpy version for my own pipelines, so I have no personal urgency. But I guess it could be a problem for new users, trying to figure out why the function is not working.
I hope this issue will help them fix it.

Edit: [2023/03/14]
If you really need the latest numpy version, you can monkey patch.

import numpy as np
np.int = int

It is ugly, but it will get your job done (tested in numpy version 1.24.2).

[sshquack]

Running into this problem from dependencies as well kernc/backtesting.py#838 (comment)

It's unfortunate that scikit-optimize is pretty much dead with no commits for over an year. Not sure if this will ever get fixed and released.

I truly hope #1123 gets merged 🤞

[sshquack]

It looks like @kernc is looking to move the CI to Github actions here #1117 which would help getting some of these PRs in. Thank you @kernc 🤩

[jmarul1]

Running into the same problem with numpy not having "int" in its module, as it is expected from 1.24.0 while running LHS

[jmarul1]

To be more specific, I found the location where the problem lies:
File:

[JohnKilbride]

For anyone stuck on this, I managed to get around the issue by downgrading NumPy to version 1.22.0.

Hopefully the fix will be merged soon!

[ChromaticIsobar]

For anyone stuck on this, I managed to get around the issue by downgrading NumPy to version 1.22.0.

Hopefully the fix will be merged soon!

Any version previous to 1.24.0 should be fine

[kangshung]

When will this be fixed? It prevents me from using the latest numpy version

[ChromaticIsobar]

There has been no commits since late 2021. So, I doubt we'll get an expected date for the fix.
As for myself, I will start looking for alternatives.
If you really need the latest numpy version and this package, my suggestion is to go on and monkey patch.

import numpy as np
np.int = int

This works, and I will add it to my original post.