CODEOWNERS

# The purpose of this file is to trigger review requests when PRs touch
# particular files. Those reviews are not mandatory, however it's often useful
# to have an expert pinged who is interested in only one part of MNE and
# doesn't follow general development. Having your name in this file does not
# imply ownership of the code -- the CODEOWNERS filename is a misnomer -- but
# rather just serves to indicate that you want to be pinged for potential
# review.
#
# Note that only GitHub handles (whether individuals or teams) with commit
# rights should be added to this file.
# See https://docs.github.com/en/github/creating-cloning-and-archiving-repositories/about-code-owners
# for more details about how CODEOWNERS works.
# This file was adapted from SciPy.

# Each line is a file pattern followed by one or more owners.
# Syntax follows .gitignore, see https://git-scm.com/docs/gitignore#_pattern_format

# Headings ideally should correspond to domains of knowledge/expertise, starting with
# algorithms implementations (generally main codebase mne/ and related docs) followed by
# project-level and miscellaneous items (CI, general documentation, etc.).

#################################################
# Algorithms, implementations, and related docs #
#################################################

# Artifact regression
/mne/preprocessing/_regress.py @wmvanvliet
/mne/preprocessing/tests/test_regress.py @wmvanvliet

# Beamforming
/mne/beamformer @britta-wstnr
*dics*.py @britta-wstnr @wmvanvliet # related tutorials and examples
*lcmv*.py @britta-wstnr

# Channels
/mne/channels @agramfort @mscheltienne @dengemann

# Core sensor-space classes
/mne/epochs.py @drammock @agramfort @mscheltienne @dengemann
/mne/evoked.py @drammock @agramfort @mscheltienne @dengemann
/mne/io/*.* @drammock @cbrnr @agramfort @mscheltienne @dengemann

# Current-source density
/mne/preprocessing/_csd.py  @alexrockhill @dengemann

# Decoding
/mne/decoding/csp.py @cbrnr @agramfort @dengemann

# fNIRS
/mne/preprocessing/nirs @rob-luke
*fnirs*.py @rob-luke

# forward
/mne/forward/ @agramfort
*forward*.py @agramfort

# Intracranial
/mne/preprocessing/ieeg @alexrockhill @adam2392
*seeg*.py @alexrockhill @adam2392
*ecog*.py @alexrockhill @adam2392

# Inverse Sparse
/mne/inverse_sparse @agramfort
*mxne*.py @agramfort # related tutorials and examples
*gamma*.py @agramfort # related tutorials and examples

# IO
/mne/io/brainvision @sappelhoff @cbrnr @adam2392
/mne/io/nirx @rob-luke
/mne/io/snirf @rob-luke
/mne/export @sappelhoff @cbrnr

# Minimum Norm
/mne/minimum_norm @agramfort

# Preprocessing
/mne/preprocessing/ica.py @cbrnr @adam2392 @agramfort @mscheltienne @dengemann
/mne/preprocessing/infomax_.py @cbrnr @adam2392 @mscheltienne @dengemann
/mne/preprocessing/*annotate*.py @mscheltienne
/mne/preprocessing/bads.py @mscheltienne
/mne/preprocessing/e*g.py @mscheltienne

# Report
/mne/report @hoechenberger @dengemann

# Simulation
/mne/simulation/ @agramfort
*simulate*.py @agramfort

# Surface + transforms
/mne/surface.py @alexrockhill @larsoner
/mne/transforms.py @alexrockhill @larsoner
/mne/_freesurfer.py @alexrockhill @larsoner

# TFR
/mne/time_frequency @drammock @adam2392 @mscheltienne

# Viz
/mne/viz @drammock @dengemann
/mne/viz/_brain @larsoner @wmvanvliet
/mne/viz/ui_events.py @wmvanvliet
/tutorials/visualization @larsoner @wmvanvliet @dengemann
/examples/visualization @larsoner @dengemann

#########################
# Project-level / other #
#########################

# Examples and tutorials
/examples @drammock @agramfort @dengemann
/tutorials @drammock @agramfort @dengemann

# Non-tutorial documentation text and infrastructure
/doc @larsoner @drammock @agramfort @dengemann
/logo @drammock

# Installation documentation
/doc/install @hoechenberger

# Project infrastructure and CIs
/*.* @larsoner @drammock  # files in the root directory
/.circleci @larsoner
/.github @larsoner
/tools @larsoner @drammock