femmt/examples/inductor_optimization.py broken?

[driftregion]

Thanks Paderborn team for releasing femmt!

Describe the bug
running python femmt/examples/inductor_optimization.py results in the following traceback:

To Reproduce

python femmt/examples/inductor_optimization.py
/home/nkirkby/repos/FEM_Magnetics_Toolbox/femmt/optimization/sto.py:505: ExperimentalWarning: NSGAIIISampler is experimental (supported from v3.2.0). The interface can change in the future.
  sampler=optuna.samplers.NSGAIIISampler(),
/home/nkirkby/repos/FEM_Magnetics_Toolbox/femmt/optimization/io.py:331: ExperimentalWarning: NSGAIIISampler is experimental (supported from v3.2.0). The interface can change in the future.
  sampler=optuna.samplers.NSGAIIISampler(),
Inductance:[1.55809288e-06 1.33873565e-06 1.17599351e-06 ... 9.27168903e-03
 8.93333703e-03 8.62101694e-03]
Data is exported to  in a pro-file.
AttributeError: 'float' object has no attribute 'log'

The above exception was the direct cause of the following exception:

Traceback (most recent call last):
  File "/home/nkirkby/repos/FEM_Magnetics_Toolbox/femmt/examples/inductor_optimization.py", line 1170, in <module>
    ad = AutomatedDesign(working_directory=working_directory,
  File "/home/nkirkby/repos/FEM_Magnetics_Toolbox/femmt/examples/inductor_optimization.py", line 584, in __init__
    self.data_matrix_4 = self.filter_reluctance_losses(self.data_matrix_3)
  File "/home/nkirkby/repos/FEM_Magnetics_Toolbox/femmt/examples/inductor_optimization.py", line 853, in filter_reluctance_losses
    (1 / (2 * np.pi * data_matrix[:, self.param["core_h_middle"]])) * np.log((data_matrix[:, self.param["r_inner"]] * 2) / \
TypeError: loop of ufunc does not support argument 0 of type float which has no callable log method

Expected behavior
No exception

Desktop (please complete the following information):

python --version
Python 3.10.12

pip freeze --all
alembic==1.14.0
colorlog==6.9.0
contourpy==1.3.1
cycler==0.12.1
deepdiff==8.1.1
exceptiongroup==1.2.2
-e git+ssh://[email protected]/upb-lea/FEM_Magnetics_Toolbox.git@750cef79d2e8121330d8f0bd2e978b972021bacc#egg=femmt
filelock==3.16.1
fonttools==4.55.3
fsspec==2024.12.0
gmsh==4.13.1
greenlet==3.1.1
iniconfig==2.0.0
Jinja2==3.1.5
joblib==1.4.2
kiwisolver==1.4.7
mag-net-hub==0.0.11
Mako==1.3.8
MarkupSafe==3.0.2
materialdatabase==0.3.0
matplotlib==3.8.4
mplcursors==0.6
mpmath==1.3.0
networkx==3.4.2
numpy==1.26.4
nvidia-cublas-cu12==12.4.5.8
nvidia-cuda-cupti-cu12==12.4.127
nvidia-cuda-nvrtc-cu12==12.4.127
nvidia-cuda-runtime-cu12==12.4.127
nvidia-cudnn-cu12==9.1.0.70
nvidia-cufft-cu12==11.2.1.3
nvidia-curand-cu12==10.3.5.147
nvidia-cusolver-cu12==11.6.1.9
nvidia-cusparse-cu12==12.3.1.170
nvidia-nccl-cu12==2.21.5
nvidia-nvjitlink-cu12==12.4.127
nvidia-nvtx-cu12==12.4.127
onelab==1.0
optuna==4.1.0
orderly-set==5.2.3
packaging==24.2
pandas==2.2.3
pillow==11.0.0
pip==24.3.1
plotly==5.24.1
pluggy==1.5.0
pycodestyle==2.12.1
pyparsing==3.2.0
PyQt5==5.15.11
PyQt5-Qt5==5.15.16
PyQt5_sip==12.16.1
pytest==8.3.4
python-dateutil==2.9.0.post0
pytz==2024.2
PyYAML==6.0.2
scipy==1.12.0
setuptools==75.6.0
six==1.17.0
SQLAlchemy==2.0.36
sympy==1.13.1
tenacity==9.0.0
tomli==2.2.1
torch==2.5.1+cpu
torchinfo==1.8.0
tqdm==4.67.1
triton==3.1.0
typing_extensions==4.12.2
tzdata==2024.2
wheel==0.45.1

 cat /etc/lsb-release
DISTRIB_ID=Ubuntu
DISTRIB_RELEASE=22.04
DISTRIB_CODENAME=jammy
DISTRIB_DESCRIPTION="Ubuntu 22.04.4 LTS"

[sschachten]

Hey Nick,

thank you very much for the bug report. A fix for this problem is currently on the branch "induc_opti_fix".

[gituser789]

fixed. Check out main branch to proceed