"""osf.io: Matchingpennies EEG.

See [OSF](https://osf.io/download/8rbfk) for more information.
"""

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

ignore_warnings = [
    r"Did not find any eeg\.json associated with sub-",
    "HED annotations were detected but could not be parsed",
    r"Unable to map the following column\(s\)",  # handedness
]

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-7.0.0-1009-aws-x86_64-with-glibc2.39 (X11)
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 8223CL CPU @ 3.00GHz (36 cores)
Memory               8.0 GiB

Core
├☑ mne               1.13.0.dev294+ga0eb9250f (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, cupy

Visualization (optional)
├☑ pyvista           0.48.4 (OpenGL 4.5 (Core Profile) Mesa 25.2.8-0ubuntu0.24.04.2 via llvmpipe (LLVM 20.1.2, 256 bits))
├☑ pyvistaqt         0.12.0
├☑ 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.dev34+g25f78ddf4
├☑ mne-icalabel      0.9.0
├☑ mne-bids-pipeline 1.11.0.dev68+g1c2c2d8b2
├☑ autoreject        0.5.0.dev5+gb4e218e6
├☑ 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