"""ds000246: Brainstorm Auditory MEG.

See [OpenNeuro](https://openneuro.org/datasets/ds000246) for more information.
"""

import sys

bids_root = "~/mne_data/ds000246"
deriv_root = "~/mne_data/derivatives/mne-bids-pipeline/ds000246"

runs = ["01"]
crop_runs = (0, 120)  # Reduce memory usage on CI system
l_freq = 0.3
h_freq = 100
epochs_decim = 4
subjects = ["0001"]
ch_types = ["meg"]
reject = dict(mag=4e-12, eog=250e-6)
conditions = ["standard", "deviant", "button"]
epochs_metadata_tmin = ["standard", "deviant"]  # for testing only
contrasts = [("deviant", "standard")]
decode = True
decoding_time_generalization = True
decoding_time_generalization_decim = 4
on_error = "abort"
plot_psd_for_runs = []  # too much memory on CIs

parallel_backend = "dask"
dask_worker_memory_limit = "3G" if sys.platform == "darwin" else "2G"
dask_temp_dir = "./.dask-worker-space"
dask_open_dashboard = True
n_jobs = 2

report_image_format = dict(raster="png")

  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               1.14.0.dev112+g8f498626a (development, latest release is 1.13.2)
├☑ numpy             2.5.4 (OpenBLAS 0.3.34.106.0 with 1 thread via pthreads)
├☑ scipy             1.18.1
└☑ matplotlib        3.11.2 (backend=agg)

Numerical (optional)
├☑ scikit-learn      1.9.1
├☑ threadpoolctl     3.7.0
├☑ numba             0.68.0
├☑ nibabel           5.4.2
├☑ pandas            3.0.6
├☑ h5io              0.2.5
├☑ h5py              3.16.0
└☐ unavailable       nilearn, dipy, openmeeg, python-picard, jamica, cupy

Visualization (optional)
├☑ pyvista           0.49.1 (OpenGL 4.5 (Core Profile) Mesa 26.0.8-1ubuntu0.3 via llvmpipe (LLVM 21.1.8, 256 bits))
├☑ pyvistaqt         0.13.1
├☑ vtk               9.7.1
├☑ qtpy              2.4.3 (PySide6=6.12.0)
└☐ unavailable       ipympl, pyqtgraph, mne-qt-browser, ipywidgets, trame, trame_client, trame_server, trame_pyvista, trame_vtk, trame_vuetify

Ecosystem (optional)
├☑ mne-bids          0.21.0.dev10+ga582be8f8
├☑ mne-icalabel      0.10.0
├☑ mne-bids-pipeline 1.11.0.dev86+ge2a34cf44
├☑ autoreject        0.6.0.dev2+g2f72b264
├☑ eeglabio          0.1.4
├☑ edfio             0.4.18
├☑ 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