megrun 01<bids_root>/sub-01/meg/sub-01_task-audiovisual_run-01_meg.fif <bids_root>/sub-01/meg/sub-01_task-audiovisual_run-01_meg.json <bids_root>/sub-emptyroom/ses-19210819/meg/sub-emptyroom_ses-19210819_task-noise_meg.fif.mgz<fs_subjects_dir>/sub-01/mri/T1.mgzBIDS raw data<bids_root> = /home/circleci/mne_data/ds000248 <deriv_root> = /home/circleci/mne_data/derivatives/mne-bids-pipeline/ds000248_FLASH_BEM <fs_subjects_dir> = /home/circleci/mne_data/ds000248/derivatives/freesurfer/subjectsBIDS raw data<bids_root> = /home/circleci/mne_data/ds000248 <deriv_root> = /home/circleci/mne_data/derivatives/mne-bids-pipeline/ds000248_FLASH_BEM <fs_subjects_dir> = /home/circleci/mne_data/ds000248/derivatives/freesurfer/subjectsinit_02_find_empty_roomFind empty-room data matches took 0.0 s completed 2026-09-03 15:14:03 writes: <deriv_root>/sub-01/meg/sub-01_task-audiovisual_run-01_emptyroommatch.jsonsource_01_make_bem_surfacesCreate BEM surfaces
  """ds000248: MNE sample data FLASH processing."""

bids_root = "~/mne_data/ds000248"
deriv_root = "~/mne_data/derivatives/mne-bids-pipeline/ds000248_FLASH_BEM"
subjects_dir = f"{bids_root}/derivatives/freesurfer/subjects"

subjects = ["01"]
conditions = ["Auditory"]

ch_types = ["meg"]

bem_mri_images = "FLASH"
recreate_bem = True

report_image_format = dict(raster="webp-lossy")

  Platform             Linux-7.0.0-1004-aws-x86_64-with-glibc2.43 (X11)
Python               3.14.4 (main, May 12 2026, 13:57:53) [GCC 15.2.0]
Executable           /home/circleci/python_env/bin/python3
CPU                  AMD EPYC 9R45 (2 cores)
Memory               7.6 GiB

Core
├☑ mne               1.13.0.dev325+g166e95903 (development, latest release is 1.12.1)
├☑ numpy             2.5.2 (OpenBLAS 0.3.34.0.0 with 2 threads via pthreads)
├☑ scipy             1.18.1
└☑ matplotlib        3.11.1 (backend=agg)

Numerical (optional)
├☑ scikit-learn      1.9.0
├☑ threadpoolctl     3.6.0
├☑ numba             0.67.0
├☑ nibabel           5.4.2
├☑ pandas            3.0.5
├☑ h5io              0.2.5
├☑ h5py              3.16.0
└☐ unavailable       nilearn, dipy, openmeeg, python-picard, jamica, cupy

Visualization (optional)
├☑ pyvista           0.48.4 (OpenGL 4.5 (Core Profile) Mesa 26.0.8-1ubuntu0.3 via llvmpipe (LLVM 21.1.8, 256 bits))
├☑ pyvistaqt         0.13.0
├☑ vtk               9.6.2
├☑ qtpy              2.4.3 (PySide6=6.11.2)
└☐ unavailable       ipympl, pyqtgraph, mne-qt-browser, ipywidgets, trame, trame_client, trame_server, trame_pyvista, trame_vtk, trame_vuetify

Ecosystem (optional)
├☑ mne-bids          0.20.0.dev38+g6784b4c8e
├☑ mne-icalabel      0.9.0
├☑ mne-bids-pipeline 1.11.0.dev74+g91c2e0677
├☑ autoreject        0.5.0
├☑ eeglabio          0.1.3
├☑ edfio             0.4.16
├☑ curryreader       0.1.2
├☑ mffpy             0.11.0
├☑ pybv              0.8.1
├☑ defusedxml        0.7.1
└☐ unavailable       mne-nirs, mne-features, mne-connectivity, neo, pymef, antio