def test_rank_estimation():
"""Test raw rank estimation
"""
raw = Raw(fif_fname)
n_meg = len(pick_types(raw.info, meg=True, eeg=False, exclude="bads"))
n_eeg = len(pick_types(raw.info, meg=False, eeg=True, exclude="bads"))
raw = Raw(fif_fname, preload=True)
assert_array_equal(raw.estimate_rank(), n_meg + n_eeg)
raw = Raw(fif_fname, preload=False)
raw.apply_proj()
n_proj = len(raw.info["projs"])
assert_array_equal(raw.estimate_rank(tstart=10, tstop=20), n_meg + n_eeg - n_proj)
def test_rank_estimation():
"""Test raw rank estimation
"""
raw = Raw(fif_fname)
n_meg = len(pick_types(raw.info, meg=True, eeg=False, exclude='bads'))
n_eeg = len(pick_types(raw.info, meg=False, eeg=True, exclude='bads'))
raw = Raw(fif_fname, preload=True)
assert_array_equal(raw.estimate_rank(), n_meg + n_eeg)
raw = Raw(fif_fname, preload=False)
raw.apply_proj()
n_proj = len(raw.info['projs'])
assert_array_equal(raw.estimate_rank(tstart=10, tstop=20),
n_meg + n_eeg - n_proj)
