Read in data used in tests.
()
| 91 | |
| 92 | |
| 93 | def _get_data(): |
| 94 | """Read in data used in tests.""" |
| 95 | # read forward model |
| 96 | forward = mne.read_forward_solution(fname_fwd) |
| 97 | # read data |
| 98 | raw = mne.io.read_raw_fif(fname_raw, preload=True) |
| 99 | events = mne.read_events(fname_event) |
| 100 | event_id, tmin, tmax = 1, -0.1, 0.15 |
| 101 | |
| 102 | # decimate for speed |
| 103 | left_temporal_channels = read_vectorview_selection("Left-temporal") |
| 104 | picks = mne.pick_types(raw.info, meg=True, selection=left_temporal_channels) |
| 105 | picks = picks[::2] |
| 106 | raw.pick([raw.ch_names[ii] for ii in picks]) |
| 107 | del picks |
| 108 | |
| 109 | raw.info.normalize_proj() # avoid projection warnings |
| 110 | |
| 111 | epochs = mne.Epochs( |
| 112 | raw, |
| 113 | events, |
| 114 | event_id, |
| 115 | tmin, |
| 116 | tmax, |
| 117 | proj=True, |
| 118 | baseline=(None, 0.0), |
| 119 | preload=True, |
| 120 | reject=reject, |
| 121 | ) |
| 122 | |
| 123 | noise_cov = mne.compute_covariance(epochs, tmin=None, tmax=0.0) |
| 124 | |
| 125 | data_cov = mne.compute_covariance(epochs, tmin=0.01, tmax=0.15) |
| 126 | |
| 127 | return epochs, data_cov, noise_cov, forward |
| 128 | |
| 129 | |
| 130 | @testing.requires_testing_data |
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