"""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

  Platform             Linux-6.8.0-1053-aws-x86_64-with-glibc2.39
Python               3.14.5 (main, May 12 2026, 13:13:59) [GCC 13.3.0]
Executable           /home/circleci/.pyenv/versions/3.14.5/bin/python3.14
CPU                  Intel(R) Xeon(R) Platinum 8124M CPU @ 3.00GHz (36 cores)
Memory               4.0 GiB

Core
├☑ mne               1.13.0.dev54+g692eccee2 (development, latest release is 1.12.1)
├☑ numpy             2.4.4 (OpenBLAS 0.3.31.188.0 with 2 threads)
├☑ scipy             1.17.1
└☑ matplotlib        3.10.9 (backend=agg)

Numerical (optional)
├☑ sklearn           1.8.0
├☑ numba             0.65.1
├☑ nibabel           5.4.2
├☑ pandas            3.0.3
├☑ h5io              0.2.5
├☑ h5py              3.16.0
└☐ unavailable       nilearn, dipy, openmeeg, cupy

Visualization (optional)
├☑ pyvista           0.48.2 (OpenGL 4.5 (Core Profile) Mesa 25.2.8-0ubuntu0.24.04.1 via llvmpipe (LLVM 20.1.2, 256 bits))
├☑ pyvistaqt         0.11.4
├☑ vtk               9.6.1
├☑ qtpy              2.4.3 (PySide6=6.11.1)
└☐ unavailable       ipympl, pyqtgraph, mne-qt-browser, ipywidgets, trame_client, trame_server, trame_pyvista, trame_vtk, trame_vuetify

Ecosystem (optional)
├☑ mne-bids          0.19.0.dev68+gf25498449
├☑ mne-icalabel      0.8.1
├☑ mne-bids-pipeline 1.11.0.dev23+gb5c8b98b1
├☑ eeglabio          0.1.3
├☑ edfio             0.4.13
├☑ curryreader       0.1.2
├☑ pybv              0.7.6
├☑ defusedxml        0.7.1
└☐ unavailable       mne-nirs, mne-features, mne-connectivity, neo, mffpy, pymef, antio