[BUG]: `ptp` was removed from the ndarray class in NumPy 2.0. Use np.ptp(arr, ...) instead.

[sin3000x]

Description of the bug

Occurs at optimizer.py, line 625：if list_fitness.ptp() == 0:

Steps To Reproduce

1. pip install package, and numpy resolves to 2.0.x
2. solve any problem with model = ACOR.OriginalACOR()

Additional Information

I'm using Python 3.9 and packages:

certifi==2024.12.14
charset-normalizer==3.4.1
contourpy==1.3.0
cycler==0.12.1
fonttools==4.55.3
idna==3.10
importlib_resources==6.5.2
kiwisolver==1.4.7
matplotlib==3.9.4
mealpy==3.0.1
numpy==2.0.2
opfunu==1.0.4
packaging==24.2
pandas==2.2.3
pillow==11.1.0
pyparsing==3.2.1
python-dateutil==2.9.0.post0
pytz==2024.2
requests==2.32.3
scipy==1.13.1
six==1.17.0
tzdata==2024.2
urllib3==2.3.0
zipp==3.21.0

[ChihaoZhang]

@sin3000x I met the same problem for version 3.0.1 and I just modified if list_fitness.ptp() == 0: in the source file to if np.ptp(list_fitness) == 0 (as well as if np.any(list_fitness < 0): to if np.any(list_fitness) < 0: in line 627 which is corrected in the latest commit for optimizer.py) and hope it will be fixed in the next version. Since the errors are obvious I guess there should be no pitfalls doing so.

By the way, I noticed that you also used ACOR. Do you know if it’s applicable to discrete case? Several tests on discrete cases show the solution the algorithm returns is poor but I haven’t read the original paper yet.

[Sibor2000]

Is a fix planned or can we repair this?

[thieu1995]

It has been fixed in next version.