MNE Python Error

This used to work properly but now this mne error is back:

BST> Python 3.10 executable: C:\Users\offic\AppData\Local\Programs\Python\Python310\python.EXE

***************************************************************************
** Error: [process_mne_maxwell] Pre-process > MNE-Python: maxwell_filter (SSS/tSSS)
** Line 110: Unable to resolve the name 'py.mne.create_info'.
**
** Call stack:
** >out_mne_channel.m at 110
** >out_mne_data.m at 167
** >process_mne_maxwell_py.m>Run at 121
** >process_mne_maxwell_py.m at 24
** >process_mne_maxwell.m>Run at 140
** >process_mne_maxwell.m at 27
** >bst_process.m>Run at 203
** >bst_process.m at 38
** >panel_process1.m>RunProcess at 131
** >panel_process1.m at 26
** >gui_brainstorm.m>CreateWindow/ProcessRun_Callback at 781
** >bst_call.m at 28
** >gui_brainstorm.m>@(h,ev)bst_call(@ProcessRun_Callback) at 301
**
**
** File: case_0680_240523/@rawrest_4_notch_band/data_0raw_rest_4_notch_band.mat
**
***************************************************************************
Executable C:\Users\offic\AppData\Local\Programs\Python\Python310\python.exe
CPU 13th Gen Intel(R) Core(TM) i9-13900HX (32 cores)
Memory 63.7 GiB

Core
X mne 1.10.0 (outdated, release 1.11.0 is available!)

  • numpy 1.26.0 (unknown linalg bindings (threadpoolctl module not found: No module named 'threadpoolctl'))
  • scipy 1.11.2
  • matplotlib 3.8.0 (backend=TkAgg)

Numerical (optional)

  • pandas 2.2.1

  • unavailable sklearn, numba, nibabel, nilearn, dipy, openmeeg, cupy, h5io, h5py

Visualization (optional)

  • unavailable pyvista, pyvistaqt, vtk, qtpy, ipympl, pyqtgraph, mne-qt-browser, ipywidgets, trame_client, trame_server, trame_vtk, trame_vuetify

Ecosystem (optional)

  • unavailable mne-bids, mne-nirs, mne-features, mne-connectivity, mne-icalabel, mne-bids-pipeline, neo, eeglabio, edfio, mffpy, pybv

To update to the latest supported release version to get bugfixes and improvements, visit Updating MNE-Python — MNE 1.11.0 documentation

@saltwater

Please refer to this post for the solution:

1 Like

The exact setup is the only thing that works!
We have to keep exactly the same mne, numpy, scipy and everything else.
Though my setup worked for python 3.12.8

1 Like