Computation times

08:39.774 total execution time for 15 files from auto_tutorials/preprocessing:

Example	Time	Mem (MB)
Repairing artifacts with ICA (40_artifact_correction_ica.py)	01:03.167	12.0
Preprocessing optically pumped magnetometer (OPM) MEG data (80_opm_processing.py)	00:57.251	1363.3
Repairing artifacts with SSP (50_artifact_correction_ssp.py)	00:55.335	112.1
Extracting and visualizing subject head movement (59_head_positions.py)	00:49.168	167.5
Background information on filtering (25_background_filtering.py)	00:42.429	9.0
Preprocessing functional near-infrared spectroscopy (fNIRS) data (70_fnirs_processing.py)	00:37.151	80.0
Filtering and resampling data (30_filtering_resampling.py)	00:33.251	748.3
Rejecting bad data spans and breaks (20_rejecting_bad_data.py)	00:30.635	178.3
Overview of artifact detection (10_preprocessing_overview.py)	00:27.085	467.8
Handling bad channels (15_handling_bad_channels.py)	00:25.921	99.7
Working with eye tracker data in MNE-Python (90_eyetracking_data.py)	00:25.767	576.3
Setting the EEG reference (55_setting_eeg_reference.py)	00:22.746	112.1
Signal-space separation (SSS) and Maxwell filtering (60_maxwell_filtering_sss.py)	00:18.433	160.0
Repairing artifacts with regression (35_artifact_correction_regression.py)	00:15.896	9.4
Background on projectors and projections (45_projectors_background.py)	00:15.539	205.1