"""Matchingpennies EEG experiment."""

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

subjects = ["05"]
task = "matchingpennies"
ch_types = ["eeg"]
interactive = False
reject = {"eeg": 150e-6}
conditions = ["raised-left", "raised-right"]
contrasts = [("raised-left", "raised-right")]
decode = True

interpolate_bads_grand_average = False

l_freq = None
h_freq = 100
zapline_fline = 50
zapline_iter = False

# To speed up processing, crop the runs to the first ~10 minutes (rather than all ~31)
crop_runs = (0, 600)

  Platform             Linux-6.8.0-1040-aws-x86_64-with-glibc2.35
Python               3.13.11 (main, Dec  6 2025, 01:10:48) [GCC 11.4.0]
Executable           /home/circleci/.pyenv/versions/3.13.11/bin/python3.13
CPU                  Intel(R) Xeon(R) Platinum 8223CL CPU @ 3.00GHz (36 cores)
Memory               8.0 GiB

Core
├☑ mne               1.12.0.dev117+g39ee092e1 (development, latest release is 1.11.0)
├☑ numpy             2.4.3 (OpenBLAS 0.3.31.dev with 2 threads)
├☑ scipy             1.17.1
└☑ matplotlib        3.10.8 (backend=agg)

Numerical (optional)
├☑ sklearn           1.8.0
├☑ numba             0.64.0
├☑ nibabel           5.4.2
├☑ pandas            3.0.1
├☑ h5io              0.2.5
├☑ h5py              3.16.0
└☐ unavailable       nilearn, dipy, openmeeg, cupy

Visualization (optional)
├☑ pyvista           0.47.1 (OpenGL 4.5 (Core Profile) Mesa 23.2.1-1ubuntu3.1~22.04.3 via llvmpipe (LLVM 15.0.7, 256 bits))
├☑ pyvistaqt         0.11.3
├☑ vtk               9.6.0
├☑ qtpy              2.4.3 (PySide6=6.10.2)
└☐ unavailable       ipympl, pyqtgraph, mne-qt-browser, ipywidgets, trame_client, trame_server, trame_vtk, trame_vuetify

Ecosystem (optional)
├☑ mne-bids          0.19.0.dev28+g6dcc45d4c
├☑ mne-icalabel      0.8.1
├☑ mne-bids-pipeline 1.10.0.dev171+g19a09516e
├☑ 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