def test_make_info():
"""Test some create_info properties."""
n_ch = np.longlong(1)
info = create_info(n_ch, 1000., 'eeg')
assert set(info.keys()) == set(RAW_INFO_FIELDS)
coil_types = {ch['coil_type'] for ch in info['chs']}
assert FIFF.FIFFV_COIL_EEG in coil_types
pytest.raises(TypeError, create_info, ch_names='Test Ch', sfreq=1000)
pytest.raises(ValueError, create_info, ch_names=['Test Ch'], sfreq=-1000)
pytest.raises(ValueError, create_info, ch_names=['Test Ch'], sfreq=1000,
ch_types=['eeg', 'eeg'])
pytest.raises(TypeError, create_info, ch_names=[np.array([1])],
sfreq=1000)
pytest.raises(KeyError, create_info, ch_names=['Test Ch'], sfreq=1000,
ch_types=np.array([1]))
pytest.raises(KeyError, create_info, ch_names=['Test Ch'], sfreq=1000,
ch_types='awesome')
pytest.raises(TypeError, create_info, ['Test Ch'], sfreq=1000,
montage=np.array([1]))
m = make_standard_montage('biosemi32')
info = create_info(ch_names=m.ch_names, sfreq=1000., ch_types='eeg')
info.set_montage(m)
ch_pos = [ch['loc'][:3] for ch in info['chs']]
ch_pos_mon = m._get_ch_pos()
ch_pos_mon = np.array(
[ch_pos_mon[ch_name] for ch_name in info['ch_names']])
# transform to head
ch_pos_mon += (0., 0., 0.04014)
assert_allclose(ch_pos, ch_pos_mon, atol=1e-5)
def test_merge_info():
"""Test merging of multiple Info objects."""
info_a = create_info(ch_names=["a", "b", "c"], sfreq=1000.0, ch_types=None)
info_b = create_info(ch_names=["d", "e", "f"], sfreq=1000.0, ch_types=None)
info_merged = _merge_info([info_a, info_b])
assert_equal(info_merged["nchan"], 6)
assert_equal(info_merged["ch_names"], ["a", "b", "c", "d", "e", "f"])
assert_raises(ValueError, _merge_info, [info_a, info_a])
# Testing for force updates before merging
info_c = create_info(ch_names=["g", "h", "i"], sfreq=500.0, ch_types=None)
# This will break because sfreq is not equal
assert_raises(RuntimeError, _merge_info, [info_a, info_c])
_force_update_info(info_a, info_c)
assert_true(info_c["sfreq"] == info_a["sfreq"])
assert_true(info_c["ch_names"][0] != info_a["ch_names"][0])
# Make sure it works now
_merge_info([info_a, info_c])
# Check that you must supply Info
assert_raises(ValueError, _force_update_info, info_a, dict([("sfreq", 1000.0)]))
# KIT System-ID
info_a["kit_system_id"] = 50
assert_equal(_merge_info((info_a, info_b))["kit_system_id"], 50)
info_b["kit_system_id"] = 50
assert_equal(_merge_info((info_a, info_b))["kit_system_id"], 50)
info_b["kit_system_id"] = 60
assert_raises(ValueError, _merge_info, (info_a, info_b))
def test_merge_info():
"""Test merging of multiple Info objects."""
info_a = create_info(ch_names=['a', 'b', 'c'], sfreq=1000., ch_types=None)
info_b = create_info(ch_names=['d', 'e', 'f'], sfreq=1000., ch_types=None)
info_merged = _merge_info([info_a, info_b])
assert_equal(info_merged['nchan'], 6)
assert_equal(info_merged['ch_names'], ['a', 'b', 'c', 'd', 'e', 'f'])
assert_raises(ValueError, _merge_info, [info_a, info_a])
# Testing for force updates before merging
info_c = create_info(ch_names=['g', 'h', 'i'], sfreq=500., ch_types=None)
# This will break because sfreq is not equal
assert_raises(RuntimeError, _merge_info, [info_a, info_c])
_force_update_info(info_a, info_c)
assert_true(info_c['sfreq'] == info_a['sfreq'])
assert_true(info_c['ch_names'][0] != info_a['ch_names'][0])
# Make sure it works now
_merge_info([info_a, info_c])
# Check that you must supply Info
assert_raises(ValueError, _force_update_info, info_a,
dict([('sfreq', 1000.)]))
# KIT System-ID
info_a['kit_system_id'] = 50
assert_equal(_merge_info((info_a, info_b))['kit_system_id'], 50)
info_b['kit_system_id'] = 50
assert_equal(_merge_info((info_a, info_b))['kit_system_id'], 50)
info_b['kit_system_id'] = 60
assert_raises(ValueError, _merge_info, (info_a, info_b))
def test_make_dig_points():
"""Test application of Polhemus HSP to info"""
dig_points = _read_dig_points(hsp_fname)
info = create_info(ch_names=['Test Ch'], sfreq=1000., ch_types=None)
assert_false(info['dig'])
info['dig'] = _make_dig_points(dig_points=dig_points)
assert_true(info['dig'])
assert_array_equal(info['dig'][0]['r'], [-106.93, 99.80, 68.81])
dig_points = _read_dig_points(elp_fname)
nasion, lpa, rpa = dig_points[:3]
info = create_info(ch_names=['Test Ch'], sfreq=1000., ch_types=None)
assert_false(info['dig'])
info['dig'] = _make_dig_points(nasion, lpa, rpa, dig_points[3:], None)
assert_true(info['dig'])
idx = [d['ident'] for d in info['dig']].index(FIFF.FIFFV_POINT_NASION)
assert_array_equal(info['dig'][idx]['r'],
np.array([1.3930, 13.1613, -4.6967]))
assert_raises(ValueError, _make_dig_points, nasion[:2])
assert_raises(ValueError, _make_dig_points, None, lpa[:2])
assert_raises(ValueError, _make_dig_points, None, None, rpa[:2])
assert_raises(ValueError, _make_dig_points, None, None, None,
dig_points[:, :2])
assert_raises(ValueError, _make_dig_points, None, None, None, None,
dig_points[:, :2])
def test_make_dig_points():
"""Test application of Polhemus HSP to info."""
extra_points = read_polhemus_fastscan(hsp_fname,
on_header_missing='ignore')
info = create_info(ch_names=['Test Ch'], sfreq=1000.)
assert info['dig'] is None
info['dig'] = _make_dig_points(extra_points=extra_points)
assert (info['dig'])
assert_allclose(info['dig'][0]['r'], [-.10693, .09980, .06881])
elp_points = read_polhemus_fastscan(elp_fname, on_header_missing='ignore')
nasion, lpa, rpa = elp_points[:3]
info = create_info(ch_names=['Test Ch'], sfreq=1000.)
assert info['dig'] is None
info['dig'] = _make_dig_points(nasion, lpa, rpa, elp_points[3:], None)
assert (info['dig'])
idx = [d['ident'] for d in info['dig']].index(FIFF.FIFFV_POINT_NASION)
assert_allclose(info['dig'][idx]['r'], [.0013930, .0131613, -.0046967])
pytest.raises(ValueError, _make_dig_points, nasion[:2])
pytest.raises(ValueError, _make_dig_points, None, lpa[:2])
pytest.raises(ValueError, _make_dig_points, None, None, rpa[:2])
pytest.raises(ValueError, _make_dig_points, None, None, None,
elp_points[:, :2])
pytest.raises(ValueError, _make_dig_points, None, None, None, None,
elp_points[:, :2])
def test_merge_info():
"""Test merging of multiple Info objects."""
info_a = create_info(ch_names=['a', 'b', 'c'], sfreq=1000., ch_types=None)
info_b = create_info(ch_names=['d', 'e', 'f'], sfreq=1000., ch_types=None)
info_merged = _merge_info([info_a, info_b])
assert_equal(info_merged['nchan'], 6)
assert_equal(info_merged['ch_names'], ['a', 'b', 'c', 'd', 'e', 'f'])
assert_raises(ValueError, _merge_info, [info_a, info_a])
# Testing for force updates before merging
info_c = create_info(ch_names=['g', 'h', 'i'], sfreq=500., ch_types=None)
# This will break because sfreq is not equal
assert_raises(RuntimeError, _merge_info, [info_a, info_c])
_force_update_info(info_a, info_c)
assert_true(info_c['sfreq'] == info_a['sfreq'])
assert_true(info_c['ch_names'][0] != info_a['ch_names'][0])
# Make sure it works now
_merge_info([info_a, info_c])
# Check that you must supply Info
assert_raises(ValueError, _force_update_info, info_a,
dict([('sfreq', 1000.)]))
# KIT System-ID
info_a['kit_system_id'] = 50
assert_equal(_merge_info((info_a, info_b))['kit_system_id'], 50)
info_b['kit_system_id'] = 50
assert_equal(_merge_info((info_a, info_b))['kit_system_id'], 50)
info_b['kit_system_id'] = 60
assert_raises(ValueError, _merge_info, (info_a, info_b))
def test_make_dig_points():
"""Test application of Polhemus HSP to info"""
dig_points = _read_dig_points(hsp_fname)
info = create_info(ch_names=['Test Ch'], sfreq=1000., ch_types=None)
assert_false(info['dig'])
info['dig'] = _make_dig_points(dig_points=dig_points)
assert_true(info['dig'])
assert_array_equal(info['dig'][0]['r'], [-106.93, 99.80, 68.81])
dig_points = _read_dig_points(elp_fname)
nasion, lpa, rpa = dig_points[:3]
info = create_info(ch_names=['Test Ch'], sfreq=1000., ch_types=None)
assert_false(info['dig'])
info['dig'] = _make_dig_points(nasion, lpa, rpa, dig_points[3:], None)
assert_true(info['dig'])
idx = [d['ident'] for d in info['dig']].index(FIFF.FIFFV_POINT_NASION)
assert_array_equal(info['dig'][idx]['r'],
np.array([1.3930, 13.1613, -4.6967]))
assert_raises(ValueError, _make_dig_points, nasion[:2])
assert_raises(ValueError, _make_dig_points, None, lpa[:2])
assert_raises(ValueError, _make_dig_points, None, None, rpa[:2])
assert_raises(ValueError, _make_dig_points, None, None, None,
dig_points[:, :2])
assert_raises(ValueError, _make_dig_points, None, None, None, None,
dig_points[:, :2])
def test_make_dig_points():
"""Test application of Polhemus HSP to info."""
extra_points = _read_dig_points(hsp_fname)
info = create_info(ch_names=['Test Ch'], sfreq=1000., ch_types=None)
assert info['dig'] is None
info['dig'] = _make_dig_points(extra_points=extra_points)
assert (info['dig'])
assert_allclose(info['dig'][0]['r'], [-.10693, .09980, .06881])
elp_points = _read_dig_points(elp_fname)
nasion, lpa, rpa = elp_points[:3]
info = create_info(ch_names=['Test Ch'], sfreq=1000., ch_types=None)
assert info['dig'] is None
info['dig'] = _make_dig_points(nasion, lpa, rpa, elp_points[3:], None)
assert (info['dig'])
idx = [d['ident'] for d in info['dig']].index(FIFF.FIFFV_POINT_NASION)
assert_array_equal(info['dig'][idx]['r'],
np.array([.0013930, .0131613, -.0046967]))
pytest.raises(ValueError, _make_dig_points, nasion[:2])
pytest.raises(ValueError, _make_dig_points, None, lpa[:2])
pytest.raises(ValueError, _make_dig_points, None, None, rpa[:2])
pytest.raises(ValueError, _make_dig_points, None, None, None,
elp_points[:, :2])
pytest.raises(ValueError, _make_dig_points, None, None, None, None,
elp_points[:, :2])
def test_make_dig_points():
"""Test application of Polhemus HSP to info."""
extra_points = _read_dig_points(hsp_fname)
info = create_info(ch_names=['Test Ch'], sfreq=1000., ch_types=None)
assert_false(info['dig'])
info['dig'] = _make_dig_points(extra_points=extra_points)
assert_true(info['dig'])
assert_allclose(info['dig'][0]['r'], [-.10693, .09980, .06881])
elp_points = _read_dig_points(elp_fname)
nasion, lpa, rpa = elp_points[:3]
info = create_info(ch_names=['Test Ch'], sfreq=1000., ch_types=None)
assert_false(info['dig'])
info['dig'] = _make_dig_points(nasion, lpa, rpa, elp_points[3:], None)
assert_true(info['dig'])
idx = [d['ident'] for d in info['dig']].index(FIFF.FIFFV_POINT_NASION)
assert_array_equal(info['dig'][idx]['r'],
np.array([.0013930, .0131613, -.0046967]))
assert_raises(ValueError, _make_dig_points, nasion[:2])
assert_raises(ValueError, _make_dig_points, None, lpa[:2])
assert_raises(ValueError, _make_dig_points, None, None, rpa[:2])
assert_raises(ValueError, _make_dig_points, None, None, None,
elp_points[:, :2])
assert_raises(ValueError, _make_dig_points, None, None, None, None,
elp_points[:, :2])
def test_merge_info():
"""Test merging of multiple Info objects"""
info_a = create_info(ch_names=['a', 'b', 'c'], sfreq=1000., ch_types=None)
info_b = create_info(ch_names=['d', 'e', 'f'], sfreq=1000., ch_types=None)
info_merged = _merge_info([info_a, info_b])
assert_equal(info_merged['nchan'], 6)
assert_equal(info_merged['ch_names'], ['a', 'b', 'c', 'd', 'e', 'f'])
assert_raises(ValueError, _merge_info, [info_a, info_a])
def test_check_consistency():
"""Test consistency check of Info objects."""
info = create_info(ch_names=['a', 'b', 'c'], sfreq=1000.)
# This should pass
info._check_consistency()
# Info without any channels
info_empty = create_info(ch_names=[], sfreq=1000.)
info_empty._check_consistency()
# Bad channels that are not in the info object
info2 = info.copy()
info2['bads'] = ['b', 'foo', 'bar']
pytest.raises(RuntimeError, info2._check_consistency)
# Bad data types
info2 = info.copy()
info2['sfreq'] = 'foo'
pytest.raises(ValueError, info2._check_consistency)
info2 = info.copy()
info2['highpass'] = '******'
pytest.raises(ValueError, info2._check_consistency)
info2 = info.copy()
info2['lowpass'] = '******'
pytest.raises(ValueError, info2._check_consistency)
info2 = info.copy()
info2['filename'] = 'foo'
with warnings.catch_warnings(record=True) as w:
info2._check_consistency()
assert len(w) == 1
assert (all('filename' in str(ww.message) for ww in w))
# Silent type conversion to float
info2 = info.copy()
info2['sfreq'] = 1
info2['highpass'] = 2
info2['lowpass'] = 2
info2._check_consistency()
assert (isinstance(info2['sfreq'], float))
assert (isinstance(info2['highpass'], float))
assert (isinstance(info2['lowpass'], float))
# Duplicate channel names
info2 = info.copy()
info2['chs'][2]['ch_name'] = 'b'
pytest.raises(RuntimeError, info2._check_consistency)
# Duplicates appended with running numbers
with warnings.catch_warnings(record=True) as w:
info3 = create_info(ch_names=['a', 'b', 'b', 'c', 'b'], sfreq=1000.)
assert len(w) == 1
assert (all('Channel names are not' in '%s' % ww.message for ww in w))
assert_array_equal(info3['ch_names'], ['a', 'b-0', 'b-1', 'c', 'b-2'])
def test_merge_info():
"""Test merging of multiple Info objects."""
info_a = create_info(ch_names=['a', 'b', 'c'], sfreq=1000.)
info_b = create_info(ch_names=['d', 'e', 'f'], sfreq=1000.)
info_merged = _merge_info([info_a, info_b])
assert info_merged['nchan'], 6
assert info_merged['ch_names'], ['a', 'b', 'c', 'd', 'e', 'f']
pytest.raises(ValueError, _merge_info, [info_a, info_a])
# Testing for force updates before merging
info_c = create_info(ch_names=['g', 'h', 'i'], sfreq=500.)
# This will break because sfreq is not equal
pytest.raises(RuntimeError, _merge_info, [info_a, info_c])
_force_update_info(info_a, info_c)
assert (info_c['sfreq'] == info_a['sfreq'])
assert (info_c['ch_names'][0] != info_a['ch_names'][0])
# Make sure it works now
_merge_info([info_a, info_c])
# Check that you must supply Info
pytest.raises(ValueError, _force_update_info, info_a,
dict([('sfreq', 1000.)]))
# KIT System-ID
info_a._unlocked = info_b._unlocked = True
info_a['kit_system_id'] = 50
assert _merge_info((info_a, info_b))['kit_system_id'] == 50
info_b['kit_system_id'] = 50
assert _merge_info((info_a, info_b))['kit_system_id'] == 50
info_b['kit_system_id'] = 60
pytest.raises(ValueError, _merge_info, (info_a, info_b))
# hpi infos
info_d = create_info(ch_names=['d', 'e', 'f'], sfreq=1000.)
info_merged = _merge_info([info_a, info_d])
assert not info_merged['hpi_meas']
assert not info_merged['hpi_results']
info_a['hpi_meas'] = [{'f1': 3, 'f2': 4}]
assert _merge_info([info_a, info_d])['hpi_meas'] == info_a['hpi_meas']
info_d._unlocked = True
info_d['hpi_meas'] = [{'f1': 3, 'f2': 4}]
assert _merge_info([info_a, info_d])['hpi_meas'] == info_d['hpi_meas']
# This will break because of inconsistency
info_d['hpi_meas'] = [{'f1': 3, 'f2': 5}]
pytest.raises(ValueError, _merge_info, [info_a, info_d])
info_0 = read_info(raw_fname)
info_0['bads'] = ['MEG 2443', 'EEG 053']
assert len(info_0['chs']) == 376
assert len(info_0['dig']) == 146
info_1 = create_info(["STI YYY"], info_0['sfreq'], ['stim'])
assert info_1['bads'] == []
info_out = _merge_info([info_0, info_1], force_update_to_first=True)
assert len(info_out['chs']) == 377
assert len(info_out['bads']) == 2
assert len(info_out['dig']) == 146
assert len(info_0['chs']) == 376
assert len(info_0['bads']) == 2
assert len(info_0['dig']) == 146
def test_duplicate_name_correction():
"""Test duplicate channel names with running number."""
# When running number is possible
info = create_info(['A', 'A', 'A'], 1000., verbose='error')
assert info['ch_names'] == ['A-0', 'A-1', 'A-2']
# When running number is not possible
with pytest.raises(ValueError, match='Adding a running number'):
create_info(['A', 'A', 'A-0'], 1000., verbose='error')
def test_duplicate_name_correction():
"""Test duplicate channel names with running number."""
# When running number is possible
info = create_info(['A', 'A', 'A'], 1000., verbose='error')
assert info['ch_names'] == ['A-0', 'A-1', 'A-2']
# When running number is not possible
with pytest.raises(ValueError, match='Adding a running number'):
create_info(['A', 'A', 'A-0'], 1000., verbose='error')
def test_check_consistency():
"""Test consistency check of Info objects."""
info = create_info(ch_names=['a', 'b', 'c'], sfreq=1000.)
# This should pass
info._check_consistency()
# Info without any channels
info_empty = create_info(ch_names=[], sfreq=1000.)
info_empty._check_consistency()
# Bad channels that are not in the info object
info2 = info.copy()
info2['bads'] = ['b', 'foo', 'bar']
assert_raises(RuntimeError, info2._check_consistency)
# Bad data types
info2 = info.copy()
info2['sfreq'] = 'foo'
assert_raises(ValueError, info2._check_consistency)
info2 = info.copy()
info2['highpass'] = '******'
assert_raises(ValueError, info2._check_consistency)
info2 = info.copy()
info2['lowpass'] = '******'
assert_raises(ValueError, info2._check_consistency)
info2 = info.copy()
info2['filename'] = 'foo'
with warnings.catch_warnings(record=True) as w:
info2._check_consistency()
assert_equal(len(w), 1)
assert_true(all('filename' in str(ww.message) for ww in w))
# Silent type conversion to float
info2 = info.copy()
info2['sfreq'] = 1
info2['highpass'] = 2
info2['lowpass'] = 2
info2._check_consistency()
assert_true(isinstance(info2['sfreq'], float))
assert_true(isinstance(info2['highpass'], float))
assert_true(isinstance(info2['lowpass'], float))
# Duplicate channel names
info2 = info.copy()
info2['chs'][2]['ch_name'] = 'b'
assert_raises(RuntimeError, info2._check_consistency)
# Duplicates appended with running numbers
with warnings.catch_warnings(record=True) as w:
info3 = create_info(ch_names=['a', 'b', 'b', 'c', 'b'], sfreq=1000.)
assert_equal(len(w), 1)
assert_true(all('Channel names are not' in '%s' % ww.message for ww in w))
assert_array_equal(info3['ch_names'], ['a', 'b-0', 'b-1', 'c', 'b-2'])
def test_long_names():
"""Test long name support."""
info = create_info(['a' * 15 + 'b', 'a' * 16], 1000., verbose='error')
data = np.empty((2, 1000))
raw = RawArray(data, info)
assert raw.ch_names == ['a' * 13 + '-0', 'a' * 13 + '-1']
info = create_info(['a' * 16] * 11, 1000., verbose='error')
data = np.empty((11, 1000))
raw = RawArray(data, info)
assert raw.ch_names == ['a' * 12 + '-%s' % ii for ii in range(11)]
def test_long_names():
"""Test long name support."""
info = create_info(['a' * 15 + 'b', 'a' * 16], 1000., verbose='error')
data = np.empty((2, 1000))
raw = RawArray(data, info)
assert raw.ch_names == ['a' * 13 + '-0', 'a' * 13 + '-1']
info = create_info(['a' * 16] * 11, 1000., verbose='error')
data = np.empty((11, 1000))
raw = RawArray(data, info)
assert raw.ch_names == ['a' * 12 + '-%s' % ii for ii in range(11)]
def test_merge_info():
"""Test merging of multiple Info objects."""
info_a = create_info(ch_names=['a', 'b', 'c'], sfreq=1000., ch_types=None)
info_b = create_info(ch_names=['d', 'e', 'f'], sfreq=1000., ch_types=None)
info_merged = _merge_info([info_a, info_b])
assert info_merged['nchan'], 6
assert info_merged['ch_names'], ['a', 'b', 'c', 'd', 'e', 'f']
pytest.raises(ValueError, _merge_info, [info_a, info_a])
# Testing for force updates before merging
info_c = create_info(ch_names=['g', 'h', 'i'], sfreq=500., ch_types=None)
# This will break because sfreq is not equal
pytest.raises(RuntimeError, _merge_info, [info_a, info_c])
_force_update_info(info_a, info_c)
assert (info_c['sfreq'] == info_a['sfreq'])
assert (info_c['ch_names'][0] != info_a['ch_names'][0])
# Make sure it works now
_merge_info([info_a, info_c])
# Check that you must supply Info
pytest.raises(ValueError, _force_update_info, info_a,
dict([('sfreq', 1000.)]))
# KIT System-ID
info_a['kit_system_id'] = 50
assert _merge_info((info_a, info_b))['kit_system_id'] == 50
info_b['kit_system_id'] = 50
assert _merge_info((info_a, info_b))['kit_system_id'] == 50
info_b['kit_system_id'] = 60
pytest.raises(ValueError, _merge_info, (info_a, info_b))
# hpi infos
info_d = create_info(ch_names=['d', 'e', 'f'], sfreq=1000., ch_types=None)
info_merged = _merge_info([info_a, info_d])
assert not info_merged['hpi_meas']
assert not info_merged['hpi_results']
info_a['hpi_meas'] = [{'f1': 3, 'f2': 4}]
assert _merge_info([info_a, info_d])['hpi_meas'] == info_a['hpi_meas']
info_d['hpi_meas'] = [{'f1': 3, 'f2': 4}]
assert _merge_info([info_a, info_d])['hpi_meas'] == info_d['hpi_meas']
# This will break because of inconsistency
info_d['hpi_meas'] = [{'f1': 3, 'f2': 5}]
pytest.raises(ValueError, _merge_info, [info_a, info_d])
info_0 = read_info(raw_fname)
info_0['bads'] = ['MEG 2443', 'EEG 053']
assert len(info_0['chs']) == 376
assert len(info_0['dig']) == 146
info_1 = create_info(["STI XXX"], info_0['sfreq'], ['stim'])
assert info_1['bads'] == []
info_out = _merge_info([info_0, info_1], force_update_to_first=True)
assert len(info_out['chs']) == 377
assert len(info_out['bads']) == 2
assert len(info_out['dig']) == 146
assert len(info_0['chs']) == 376
assert len(info_0['bads']) == 2
assert len(info_0['dig']) == 146
def test_check_consistency():
"""Test consistency check of Info objects."""
info = create_info(ch_names=['a', 'b', 'c'], sfreq=1000.)
# This should pass
info._check_consistency()
# Info without any channels
info_empty = create_info(ch_names=[], sfreq=1000.)
info_empty._check_consistency()
# Bad channels that are not in the info object
info2 = info.copy()
info2['bads'] = ['b', 'foo', 'bar']
pytest.raises(RuntimeError, info2._check_consistency)
# Bad data types
info2 = info.copy()
info2['sfreq'] = 'foo'
pytest.raises(ValueError, info2._check_consistency)
info2 = info.copy()
info2['highpass'] = '******'
pytest.raises(ValueError, info2._check_consistency)
info2 = info.copy()
info2['lowpass'] = '******'
pytest.raises(ValueError, info2._check_consistency)
info2 = info.copy()
info2['filename'] = 'foo'
with pytest.warns(RuntimeWarning, match='filename'):
info2._check_consistency()
# Silent type conversion to float
info2 = info.copy()
info2['sfreq'] = 1
info2['highpass'] = 2
info2['lowpass'] = 2
info2._check_consistency()
assert (isinstance(info2['sfreq'], float))
assert (isinstance(info2['highpass'], float))
assert (isinstance(info2['lowpass'], float))
# Duplicate channel names
info2 = info.copy()
info2['chs'][2]['ch_name'] = 'b'
pytest.raises(RuntimeError, info2._check_consistency)
# Duplicates appended with running numbers
with pytest.warns(RuntimeWarning, match='Channel names are not'):
info3 = create_info(ch_names=['a', 'b', 'b', 'c', 'b'], sfreq=1000.)
assert_array_equal(info3['ch_names'], ['a', 'b-0', 'b-1', 'c', 'b-2'])
def test_check_consistency():
"""Test consistency check of Info objects."""
info = create_info(ch_names=['a', 'b', 'c'], sfreq=1000.)
# This should pass
info._check_consistency()
# Info without any channels
info_empty = create_info(ch_names=[], sfreq=1000.)
info_empty._check_consistency()
# Bad channels that are not in the info object
info2 = info.copy()
info2['bads'] = ['b', 'foo', 'bar']
assert_raises(RuntimeError, info2._check_consistency)
# Bad data types
info2 = info.copy()
info2['sfreq'] = 'foo'
assert_raises(ValueError, info2._check_consistency)
info2 = info.copy()
info2['highpass'] = '******'
assert_raises(ValueError, info2._check_consistency)
info2 = info.copy()
info2['lowpass'] = '******'
assert_raises(ValueError, info2._check_consistency)
info2 = info.copy()
info2['filename'] = 'foo'
with warnings.catch_warnings(record=True) as w:
info2._check_consistency()
assert_equal(len(w), 1)
assert_true(all('filename' in str(ww.message) for ww in w))
# Silent type conversion to float
info2 = info.copy()
info2['sfreq'] = 1
info2['highpass'] = 2
info2['lowpass'] = 2
info2._check_consistency()
assert_true(isinstance(info2['sfreq'], float))
assert_true(isinstance(info2['highpass'], float))
assert_true(isinstance(info2['lowpass'], float))
# Duplicate channel names
info2 = info.copy()
info2['chs'][2]['ch_name'] = 'b'
assert_raises(RuntimeError, info2._check_consistency)
def test_make_info():
"""Test some create_info properties
"""
n_ch = 1
info = create_info(n_ch, 1000., 'eeg')
assert_equal(sorted(info.keys()), sorted(RAW_INFO_FIELDS))
coil_types = set([ch['coil_type'] for ch in info['chs']])
assert_true(FIFF.FIFFV_COIL_EEG in coil_types)
assert_raises(TypeError, create_info, ch_names='Test Ch', sfreq=1000)
assert_raises(ValueError, create_info, ch_names=['Test Ch'], sfreq=-1000)
assert_raises(ValueError, create_info, ch_names=['Test Ch'], sfreq=1000,
ch_types=['eeg', 'eeg'])
assert_raises(TypeError, create_info, ch_names=[np.array([1])],
sfreq=1000)
assert_raises(TypeError, create_info, ch_names=['Test Ch'], sfreq=1000,
ch_types=np.array([1]))
assert_raises(KeyError, create_info, ch_names=['Test Ch'], sfreq=1000,
ch_types='awesome')
assert_raises(TypeError, create_info, ['Test Ch'], sfreq=1000,
ch_types=None, montage=np.array([1]))
m = read_montage('biosemi32')
info = create_info(ch_names=m.ch_names, sfreq=1000., ch_types='eeg',
montage=m)
ch_pos = [ch['loc'][:3] for ch in info['chs']]
assert_array_equal(ch_pos, m.pos)
names = ['nasion', 'lpa', 'rpa', '1', '2', '3', '4', '5']
d = read_dig_montage(hsp_fname, None, elp_fname, names, unit='m',
transform=False)
info = create_info(ch_names=m.ch_names, sfreq=1000., ch_types='eeg',
montage=d)
idents = [p['ident'] for p in info['dig']]
assert_true(FIFF.FIFFV_POINT_NASION in idents)
info = create_info(ch_names=m.ch_names, sfreq=1000., ch_types='eeg',
montage=[d, m])
ch_pos = [ch['loc'][:3] for ch in info['chs']]
assert_array_equal(ch_pos, m.pos)
idents = [p['ident'] for p in info['dig']]
assert_true(FIFF.FIFFV_POINT_NASION in idents)
info = create_info(ch_names=m.ch_names, sfreq=1000., ch_types='eeg',
montage=[d, 'biosemi32'])
ch_pos = [ch['loc'][:3] for ch in info['chs']]
assert_array_equal(ch_pos, m.pos)
idents = [p['ident'] for p in info['dig']]
assert_true(FIFF.FIFFV_POINT_NASION in idents)
def test_make_info():
"""Test some create_info properties
"""
n_ch = 1
info = create_info(n_ch, 1000., 'eeg')
assert_equal(sorted(info.keys()), sorted(RAW_INFO_FIELDS))
coil_types = set([ch['coil_type'] for ch in info['chs']])
assert_true(FIFF.FIFFV_COIL_EEG in coil_types)
assert_raises(TypeError, create_info, ch_names='Test Ch', sfreq=1000)
assert_raises(ValueError, create_info, ch_names=['Test Ch'], sfreq=-1000)
assert_raises(ValueError, create_info, ch_names=['Test Ch'], sfreq=1000,
ch_types=['eeg', 'eeg'])
assert_raises(TypeError, create_info, ch_names=[np.array([1])],
sfreq=1000)
assert_raises(TypeError, create_info, ch_names=['Test Ch'], sfreq=1000,
ch_types=np.array([1]))
assert_raises(KeyError, create_info, ch_names=['Test Ch'], sfreq=1000,
ch_types='awesome')
assert_raises(TypeError, create_info, ['Test Ch'], sfreq=1000,
ch_types=None, montage=np.array([1]))
m = read_montage('biosemi32')
info = create_info(ch_names=m.ch_names, sfreq=1000., ch_types='eeg',
montage=m)
ch_pos = [ch['loc'][:3] for ch in info['chs']]
assert_array_equal(ch_pos, m.pos)
names = ['nasion', 'lpa', 'rpa', '1', '2', '3', '4', '5']
d = read_dig_montage(hsp_fname, None, elp_fname, names, unit='m',
transform=False)
info = create_info(ch_names=m.ch_names, sfreq=1000., ch_types='eeg',
montage=d)
idents = [p['ident'] for p in info['dig']]
assert_true(FIFF.FIFFV_POINT_NASION in idents)
info = create_info(ch_names=m.ch_names, sfreq=1000., ch_types='eeg',
montage=[d, m])
ch_pos = [ch['loc'][:3] for ch in info['chs']]
assert_array_equal(ch_pos, m.pos)
idents = [p['ident'] for p in info['dig']]
assert_true(FIFF.FIFFV_POINT_NASION in idents)
info = create_info(ch_names=m.ch_names, sfreq=1000., ch_types='eeg',
montage=[d, 'biosemi32'])
ch_pos = [ch['loc'][:3] for ch in info['chs']]
assert_array_equal(ch_pos, m.pos)
idents = [p['ident'] for p in info['dig']]
assert_true(FIFF.FIFFV_POINT_NASION in idents)
def test_array_copy():
"""Test copying during construction."""
info = create_info(1, 1000.)
data = np.empty((1, 1000))
# 'auto' (default)
raw = RawArray(data, info)
assert raw._data is data
assert raw.info is not info
raw = RawArray(data.astype(np.float32), info)
assert raw._data is not data
assert raw.info is not info
# 'info' (more restrictive)
raw = RawArray(data, info, copy='info')
assert raw._data is data
assert raw.info is not info
with pytest.raises(ValueError, match="data copying was not .* copy='info"):
RawArray(data.astype(np.float32), info, copy='info')
# 'data'
raw = RawArray(data, info, copy='data')
assert raw._data is not data
assert raw.info is info
# 'both'
raw = RawArray(data, info, copy='both')
assert raw._data is not data
assert raw.info is not info
raw = RawArray(data.astype(np.float32), info, copy='both')
assert raw._data is not data
assert raw.info is not info
# None
raw = RawArray(data, info, copy=None)
assert raw._data is data
assert raw.info is info
with pytest.raises(ValueError, match='data copying was not .* copy=None'):
RawArray(data.astype(np.float32), info, copy=None)
def test_long_names():
"""Test long name support."""
info = create_info(['a' * 15 + 'b', 'a' * 16], 1000., verbose='error')
data = np.empty((2, 1000))
raw = RawArray(data, info)
assert raw.ch_names == ['a' * 15 + 'b', 'a' * 16]
# and a way to get the old behavior
raw.rename_channels({k: k[:13]
for k in raw.ch_names},
allow_duplicates=True,
verbose='error')
assert raw.ch_names == ['a' * 13 + '-0', 'a' * 13 + '-1']
info = create_info(['a' * 16] * 11, 1000., verbose='error')
data = np.empty((11, 1000))
raw = RawArray(data, info)
assert raw.ch_names == ['a' * 16 + '-%s' % ii for ii in range(11)]
def eeglab2mne(file_name):
""" Loads EEGLab epochs from Matlab and return MNE-python epochs"""
# Convert from eeglab structure to mne Epochs
import scipy.io as sio
from itertools import product
from mne.io.meas_info import create_info
from mne.epochs import EpochsArray
mat = sio.loadmat(file_name, squeeze_me=True, struct_as_record=False)
event_id = dict()
for visible, expect, reward in product('HL', 'EU', 'RP'):
event_id['/'.join((visible, expect, reward))] = (
1 * (visible == 'H') + 10 * (expect == 'U') +
100 * (reward == 'P'))
data = list()
events = list()
for visible, expect, reward in product('HL', 'EU', 'RP'):
struct = visible + expect + reward
eeg_data = mat[struct]
n_chan, n_time, n_trials = eeg_data.shape
data.append(eeg_data.transpose([2, 0, 1]))
event = event_id['/'.join((visible, expect, reward))]
events.append(np.ones(n_trials) * event)
data = np.vstack(data)
events = np.hstack(events)
times = np.linspace(-1.8, 2., data.shape[2])
sfreq = len(times) / np.ptp([times[0], times[-1]])
chan_names = ['eeg_%s' % chan for chan in range(64)]
chan_types = ['eeg' for ii in range(64)]
events = np.c_[np.cumsum(np.ones_like(events)) * 5 * sfreq,
np.zeros_like(events), events]
info = create_info(chan_names, sfreq, chan_types)
epochs = EpochsArray(data, info, events=np.array(events, int), tmin=-1.8,
verbose=False, event_id=event_id)
return epochs
def _get_info(eeg, montage, eog=()):
"""Get measurement info."""
info = _empty_info(sfreq=eeg.get_sample_frequency())
# add the ch_names and info['chs'][idx]['loc']
ch_names =[eeg.get_channel(i)[0] for i in range(eeg.get_channel_count())]
print ch_names
#elif isinstance(montage, string_types):
# path = op.dirname(montage)
#else: # if eeg.chanlocs is empty, we still need default chan names
# ch_names = ["EEG %03d" % ii for ii in range(eeg.get_channel_count())]
#if montage is None:
info = create_info(ch_names, eeg.get_sample_frequency(), ch_types='eeg')
#else:
# _check_update_montage(info, montage, path=path,
# update_ch_names=True)
info['buffer_size_sec'] = 1. # reasonable default
# update the info dict
if eog == 'auto':
eog = _find_channels(ch_names)
for idx, ch in enumerate(info['chs']):
ch['cal'] = CAL
if ch['ch_name'] in eog or idx in eog:
ch['coil_type'] = FIFF.FIFFV_COIL_NONE
ch['kind'] = FIFF.FIFFV_EOG_CH
return info
def test_array_copy():
"""Test copying during construction."""
info = create_info(1, 1000.)
data = np.empty((1, 1000))
# 'auto' (default)
raw = RawArray(data, info)
assert raw._data is data
assert raw.info is not info
raw = RawArray(data.astype(np.float32), info)
assert raw._data is not data
assert raw.info is not info
# 'info' (more restrictive)
raw = RawArray(data, info, copy='info')
assert raw._data is data
assert raw.info is not info
with pytest.raises(ValueError, match="data copying was not .* copy='info"):
RawArray(data.astype(np.float32), info, copy='info')
# 'data'
raw = RawArray(data, info, copy='data')
assert raw._data is not data
assert raw.info is info
# 'both'
raw = RawArray(data, info, copy='both')
assert raw._data is not data
assert raw.info is not info
raw = RawArray(data.astype(np.float32), info, copy='both')
assert raw._data is not data
assert raw.info is not info
# None
raw = RawArray(data, info, copy=None)
assert raw._data is data
assert raw.info is info
with pytest.raises(ValueError, match='data copying was not .* copy=None'):
RawArray(data.astype(np.float32), info, copy=None)
def test_duplicate_name_correction():
"""Test duplicate channel names with running number."""
# When running number is possible
info = create_info(['A', 'A', 'A'], 1000., verbose='error')
assert info['ch_names'] == ['A-0', 'A-1', 'A-2']
# When running number is not possible but alpha numeric is
info = create_info(['A', 'A', 'A-0'], 1000., verbose='error')
assert info['ch_names'] == ['A-a', 'A-1', 'A-0']
# When a single addition is not sufficient
with pytest.raises(ValueError, match='Adding a single alphanumeric'):
ch_n = ['A', 'A']
# add all options for first duplicate channel (0)
ch_n.extend([f'{ch_n[0]}-{c}' for c in string.ascii_lowercase + '0'])
create_info(ch_n, 1000., verbose='error')
def test_export_edf_annotations(tmp_path):
"""Test that exporting EDF preserves annotations."""
rng = np.random.RandomState(123456)
format = 'edf'
ch_types = [
'eeg', 'eeg', 'stim', 'ecog', 'ecog', 'seeg', 'eog', 'ecg', 'emg',
'dbs', 'bio'
]
ch_names = np.arange(len(ch_types)).astype(str).tolist()
info = create_info(ch_names, sfreq=1000, ch_types=ch_types)
data = rng.random(size=(len(ch_names), 2000)) * 1.e-5
raw = RawArray(data, info)
annotations = Annotations(onset=[0.01, 0.05, 0.90, 1.05],
duration=[0, 1, 0, 0],
description=['test1', 'test2', 'test3', 'test4'])
raw.set_annotations(annotations)
# export
temp_fname = op.join(str(tmp_path), f'test.{format}')
raw.export(temp_fname)
# read in the file
raw_read = read_raw_edf(temp_fname, preload=True)
assert_array_equal(raw.annotations.onset, raw_read.annotations.onset)
assert_array_equal(raw.annotations.duration, raw_read.annotations.duration)
assert_array_equal(raw.annotations.description,
raw_read.annotations.description)
def load_FieldTrip_data(meg_fname):
from mne.io.meas_info import create_info
from mne.epochs import EpochsArray
"""XXX Here explain what this does"""
# import information from fieldtrip data to get data shape
ft_data = sio.loadmat(meg_fname[:-4] + '.mat', squeeze_me=True,
struct_as_record=True)['data']
# import binary MEG data
bin_data = np.fromfile(meg_fname[:-4] + '.dat', dtype=np.float32)
Xdim = ft_data['Xdim'].item()
bin_data = np.reshape(bin_data, Xdim[[2, 1, 0]]).transpose([2, 1, 0])
# Create an MNE Epoch
n_trial, n_chans, n_time = bin_data.shape
sfreq = ft_data['fsample'].item()
time = ft_data['time'].item()[0]
tmin = min(time)
chan_names = [str(label) for label in ft_data['label'].item()]
chan_types = np.squeeze(np.concatenate(
(np.tile(['grad', 'grad', 'mag'], (1, 102)),
np.tile('misc', (1, n_chans - 306))), axis=1))
info = create_info(chan_names, sfreq, chan_types)
events = np.c_[np.cumsum(np.ones(n_trial)) * 5 * sfreq,
np.zeros(n_trial),
ft_data['trialinfo'].item()]
epochs = EpochsArray(bin_data, info, events=events, tmin=tmin)
return epochs
def test_check_consistency():
"""Test consistency check of Info objects."""
info = create_info(ch_names=["a", "b", "c"], sfreq=1000.0)
# This should pass
info._check_consistency()
# Info without any channels
info_empty = create_info(ch_names=[], sfreq=1000.0)
info_empty._check_consistency()
# Bad channels that are not in the info object
info2 = info.copy()
info2["bads"] = ["b", "foo", "bar"]
assert_raises(RuntimeError, info2._check_consistency)
# Bad data types
info2 = info.copy()
info2["sfreq"] = "foo"
assert_raises(ValueError, info2._check_consistency)
info2 = info.copy()
info2["highpass"] = "******"
assert_raises(ValueError, info2._check_consistency)
info2 = info.copy()
info2["lowpass"] = "******"
assert_raises(ValueError, info2._check_consistency)
info2 = info.copy()
info2["filename"] = "foo"
assert_raises(KeyError, info2._check_consistency)
# Silent type conversion to float
info2 = info.copy()
info2["sfreq"] = 1
info2["highpass"] = 2
info2["lowpass"] = 2
info2._check_consistency()
assert_true(isinstance(info2["sfreq"], float))
assert_true(isinstance(info2["highpass"], float))
assert_true(isinstance(info2["lowpass"], float))
# Duplicate channel names
info2 = info.copy()
info2["chs"][2]["ch_name"] = "b"
assert_raises(RuntimeError, info2._check_consistency)
def test_redundant():
"""Test some of the redundant properties of info."""
# Indexing
info = create_info(ch_names=["a", "b", "c"], sfreq=1000.0, ch_types=None)
assert_equal(info["ch_names"][0], "a")
assert_equal(info["ch_names"][1], "b")
assert_equal(info["ch_names"][2], "c")
# Equality
assert_equal(info["ch_names"], info["ch_names"])
assert_equal(info["ch_names"], ["a", "b", "c"])
# No channels in info
info = create_info(ch_names=[], sfreq=1000.0, ch_types=None)
assert_equal(info["ch_names"], [])
# List should be read-only
info = create_info(ch_names=["a", "b", "c"], sfreq=1000.0, ch_types=None)
def test_redundant():
"""Test some of the redundant properties of info"""
# Indexing
info = create_info(ch_names=['a', 'b', 'c'], sfreq=1000., ch_types=None)
assert_equal(info['ch_names'][0], 'a')
assert_equal(info['ch_names'][1], 'b')
assert_equal(info['ch_names'][2], 'c')
# Equality
assert_equal(info['ch_names'], info['ch_names'])
assert_equal(info['ch_names'], ['a', 'b', 'c'])
# No channels in info
info = create_info(ch_names=[], sfreq=1000., ch_types=None)
assert_equal(info['ch_names'], [])
# List should be read-only
info = create_info(ch_names=['a', 'b', 'c'], sfreq=1000., ch_types=None)
def test_redundant():
"""Test some of the redundant properties of info."""
# Indexing
info = create_info(ch_names=['a', 'b', 'c'], sfreq=1000., ch_types=None)
assert info['ch_names'][0] == 'a'
assert info['ch_names'][1] == 'b'
assert info['ch_names'][2] == 'c'
# Equality
assert info['ch_names'] == info['ch_names']
assert info['ch_names'] == ['a', 'b', 'c']
# No channels in info
info = create_info(ch_names=[], sfreq=1000., ch_types=None)
assert info['ch_names'] == []
# List should be read-only
info = create_info(ch_names=['a', 'b', 'c'], sfreq=1000., ch_types=None)
def test_redundant():
"""Test some of the redundant properties of info"""
# Indexing
info = create_info(ch_names=['a', 'b', 'c'], sfreq=1000., ch_types=None)
assert_equal(info['ch_names'][0], 'a')
assert_equal(info['ch_names'][1], 'b')
assert_equal(info['ch_names'][2], 'c')
# Equality
assert_equal(info['ch_names'], info['ch_names'])
assert_equal(info['ch_names'], ['a', 'b', 'c'])
# No channels in info
info = create_info(ch_names=[], sfreq=1000., ch_types=None)
assert_equal(info['ch_names'], [])
# List should be read-only
info = create_info(ch_names=['a', 'b', 'c'], sfreq=1000., ch_types=None)
def __init__(self,
input_fname,
montage=None,
eog=None,
misc=(-4, -3, -2, -1),
stim_channel=None,
scale=1e-6,
sfreq=250,
missing_tol=1,
preload=True,
verbose=None):
bci_info = {'missing_tol': missing_tol, 'stim_channel': stim_channel}
if not eog:
eog = list()
if not misc:
misc = list()
nsamps, nchan = self._get_data_dims(input_fname)
last_samps = [nsamps - 1]
ch_names = ['EEG %03d' % num for num in range(1, nchan + 1)]
ch_types = ['eeg'] * nchan
if misc:
misc_names = ['MISC %03d' % ii for ii in range(1, len(misc) + 1)]
misc_types = ['misc'] * len(misc)
for ii, mi in enumerate(misc):
ch_names[mi] = misc_names[ii]
ch_types[mi] = misc_types[ii]
if eog:
eog_names = ['EOG %03d' % ii for ii in range(len(eog))]
eog_types = ['eog'] * len(eog)
for ii, ei in enumerate(eog):
ch_names[ei] = eog_names[ii]
ch_types[ei] = eog_types[ii]
if stim_channel:
ch_names[stim_channel] = 'STI 014'
ch_types[stim_channel] = 'stim'
# mark last channel as the timestamp channel
ch_names[-1] = "Timestamps"
ch_types[-1] = "misc"
# fix it for eog and misc marking
info = create_info(ch_names, sfreq, ch_types, montage)
info["buffer_size_sec"] = 1.
super(RawOpenBCI, self).__init__(info,
last_samps=last_samps,
raw_extras=[bci_info],
filenames=[input_fname],
preload=False,
verbose=verbose)
# load data
if preload:
self.preload = preload
logger.info('Reading raw data from %s...' % input_fname)
self._data = self._read_segment()
def test_create_info_grad(kwargs, want):
"""Test create_info behavior with grad coils."""
info = create_info(6, 256, ["eeg", "misc", "grad", "grad", "mag", "hbo"])
# Put these in an order such that grads get named "2" and "3", since
# they get picked based first on coil_type then ch_name...
assert [ch['ch_name'] for ch in info['chs']
if ch['coil_type'] == FIFF.FIFFV_COIL_VV_PLANAR_T1] == ['2', '3']
picks = pick_types(info, **kwargs)
assert_array_equal(picks, want)
def test_check_consistency():
"""Test consistency check of Info objects"""
info = create_info(ch_names=['a', 'b', 'c'], sfreq=1000.)
# This should pass
info._check_consistency()
# Info without any channels
info_empty = create_info(ch_names=[], sfreq=1000.)
info_empty._check_consistency()
# Bad channels that are not in the info object
info2 = info.copy()
info2['bads'] = ['b', 'foo', 'bar']
assert_raises(RuntimeError, info2._check_consistency)
# Bad data types
info2 = info.copy()
info2['sfreq'] = 'foo'
assert_raises(ValueError, info2._check_consistency)
info2 = info.copy()
info2['highpass'] = '******'
assert_raises(ValueError, info2._check_consistency)
info2 = info.copy()
info2['lowpass'] = '******'
assert_raises(ValueError, info2._check_consistency)
# Silent type conversion to float
info2 = info.copy()
info2['sfreq'] = 1
info2['highpass'] = 2
info2['lowpass'] = 2
info2._check_consistency()
assert_true(isinstance(info2['sfreq'], float))
assert_true(isinstance(info2['highpass'], float))
assert_true(isinstance(info2['lowpass'], float))
# Duplicate channel names
info2 = info.copy()
info2['chs'][2]['ch_name'] = 'b'
assert_raises(RuntimeError, info2._check_consistency)
def test_get_montage():
"""Test ContainsMixin.get_montage()."""
ch_names = make_standard_montage('standard_1020').ch_names
sfreq = 512
data = np.zeros((len(ch_names), sfreq * 2))
raw = RawArray(data, create_info(ch_names, sfreq, 'eeg'))
raw.set_montage('standard_1020')
assert len(raw.get_montage().ch_names) == len(ch_names)
raw.info['bads'] = [ch_names[0]]
assert len(raw.get_montage().ch_names) == len(ch_names)
# test info
raw = RawArray(data, create_info(ch_names, sfreq, 'eeg'))
raw.set_montage('standard_1020')
assert len(raw.info.get_montage().ch_names) == len(ch_names)
raw.info['bads'] = [ch_names[0]]
assert len(raw.info.get_montage().ch_names) == len(ch_names)
def test_io_coord_frame(tmp_path):
"""Test round trip for coordinate frame."""
fname = tmp_path / 'test.fif'
for ch_type in ('eeg', 'seeg', 'ecog', 'dbs', 'hbo', 'hbr'):
info = create_info(
ch_names=['Test Ch'], sfreq=1000., ch_types=[ch_type])
info['chs'][0]['loc'][:3] = [0.05, 0.01, -0.03]
write_info(fname, info)
info2 = read_info(fname)
assert info2['chs'][0]['coord_frame'] == FIFF.FIFFV_COORD_HEAD
def test_array_epochs():
"""Test creating evoked from array
"""
tempdir = _TempDir()
# creating
rng = np.random.RandomState(42)
data1 = rng.randn(20, 60)
sfreq = 1e3
ch_names = ['EEG %03d' % (i + 1) for i in range(20)]
types = ['eeg'] * 20
info = create_info(ch_names, sfreq, types)
evoked1 = EvokedArray(data1, info, tmin=-0.01)
# save, read, and compare evokeds
tmp_fname = op.join(tempdir, 'evkdary-ave.fif')
evoked1.save(tmp_fname)
evoked2 = read_evokeds(tmp_fname)[0]
data2 = evoked2.data
assert_allclose(data1, data2)
assert_allclose(evoked1.times, evoked2.times)
assert_equal(evoked1.first, evoked2.first)
assert_equal(evoked1.last, evoked2.last)
assert_equal(evoked1.kind, evoked2.kind)
assert_equal(evoked1.nave, evoked2.nave)
# now compare with EpochsArray (with single epoch)
data3 = data1[np.newaxis, :, :]
events = np.c_[10, 0, 1]
evoked3 = EpochsArray(data3, info, events=events, tmin=-0.01).average()
assert_allclose(evoked1.data, evoked3.data)
assert_allclose(evoked1.times, evoked3.times)
assert_equal(evoked1.first, evoked3.first)
assert_equal(evoked1.last, evoked3.last)
assert_equal(evoked1.kind, evoked3.kind)
assert_equal(evoked1.nave, evoked3.nave)
# test match between channels info and data
ch_names = ['EEG %03d' % (i + 1) for i in range(19)]
types = ['eeg'] * 19
info = create_info(ch_names, sfreq, types)
assert_raises(ValueError, EvokedArray, data1, info, tmin=-0.01)
def test_array_epochs():
"""Test creating evoked from array
"""
tempdir = _TempDir()
# creating
rng = np.random.RandomState(42)
data1 = rng.randn(20, 60)
sfreq = 1e3
ch_names = ['EEG %03d' % (i + 1) for i in range(20)]
types = ['eeg'] * 20
info = create_info(ch_names, sfreq, types)
evoked1 = EvokedArray(data1, info, tmin=-0.01)
# save, read, and compare evokeds
tmp_fname = op.join(tempdir, 'evkdary-ave.fif')
evoked1.save(tmp_fname)
evoked2 = read_evokeds(tmp_fname)[0]
data2 = evoked2.data
assert_allclose(data1, data2)
assert_allclose(evoked1.times, evoked2.times)
assert_equal(evoked1.first, evoked2.first)
assert_equal(evoked1.last, evoked2.last)
assert_equal(evoked1.kind, evoked2.kind)
assert_equal(evoked1.nave, evoked2.nave)
# now compare with EpochsArray (with single epoch)
data3 = data1[np.newaxis, :, :]
events = np.c_[10, 0, 1]
evoked3 = EpochsArray(data3, info, events=events, tmin=-0.01).average()
assert_allclose(evoked1.data, evoked3.data)
assert_allclose(evoked1.times, evoked3.times)
assert_equal(evoked1.first, evoked3.first)
assert_equal(evoked1.last, evoked3.last)
assert_equal(evoked1.kind, evoked3.kind)
assert_equal(evoked1.nave, evoked3.nave)
# test match between channels info and data
ch_names = ['EEG %03d' % (i + 1) for i in range(19)]
types = ['eeg'] * 19
info = create_info(ch_names, sfreq, types)
assert_raises(ValueError, EvokedArray, data1, info, tmin=-0.01)
def test_channel_name_list():
"""Test the _ChannelNamesList object"""
# Indexing
info = create_info(ch_names=['a', 'b', 'c'], sfreq=1000., ch_types=None)
assert_equal(info['ch_names'][0], 'a')
assert_equal(info['ch_names'][1], 'b')
assert_equal(info['ch_names'][2], 'c')
# Equality
assert_equal(info['ch_names'], info['ch_names'])
assert_equal(info['ch_names'], ['a', 'b', 'c'])
# No channels in info
info = create_info(ch_names=[], sfreq=1000., ch_types=None)
assert_equal(info['ch_names'], [])
# List should be read-only
info = create_info(ch_names=['a', 'b', 'c'], sfreq=1000., ch_types=None)
def _test_assignment():
info['ch_names'][0] = 'foo'
assert_raises(RuntimeError, _test_assignment)
def _test_concatenation():
info['ch_names'] += ['foo']
assert_raises(RuntimeError, _test_concatenation)
def _test_appending():
info['ch_names'].append('foo')
assert_raises(RuntimeError, _test_appending)
def _test_removal():
del info['ch_names'][0]
assert_raises(AttributeError, _test_removal)
# Concatenation
assert_equal(info['ch_names'] + ['d'], ['a', 'b', 'c', 'd'])
# Representation
assert_equal(repr(info['ch_names']),
"<ChannelNameList | 3 channels | a, b, c>")
def test_merge_info():
"""Test merging of multiple Info objects."""
info_a = create_info(ch_names=['a', 'b', 'c'], sfreq=1000., ch_types=None)
info_b = create_info(ch_names=['d', 'e', 'f'], sfreq=1000., ch_types=None)
info_merged = _merge_info([info_a, info_b])
assert info_merged['nchan'], 6
assert info_merged['ch_names'], ['a', 'b', 'c', 'd', 'e', 'f']
pytest.raises(ValueError, _merge_info, [info_a, info_a])
# Testing for force updates before merging
info_c = create_info(ch_names=['g', 'h', 'i'], sfreq=500., ch_types=None)
# This will break because sfreq is not equal
pytest.raises(RuntimeError, _merge_info, [info_a, info_c])
_force_update_info(info_a, info_c)
assert (info_c['sfreq'] == info_a['sfreq'])
assert (info_c['ch_names'][0] != info_a['ch_names'][0])
# Make sure it works now
_merge_info([info_a, info_c])
# Check that you must supply Info
pytest.raises(ValueError, _force_update_info, info_a,
dict([('sfreq', 1000.)]))
# KIT System-ID
info_a['kit_system_id'] = 50
assert _merge_info((info_a, info_b))['kit_system_id'] == 50
info_b['kit_system_id'] = 50
assert _merge_info((info_a, info_b))['kit_system_id'] == 50
info_b['kit_system_id'] = 60
pytest.raises(ValueError, _merge_info, (info_a, info_b))
# hpi infos
info_d = create_info(ch_names=['d', 'e', 'f'], sfreq=1000., ch_types=None)
info_merged = _merge_info([info_a, info_d])
assert not info_merged['hpi_meas']
assert not info_merged['hpi_results']
info_a['hpi_meas'] = [{'f1': 3, 'f2': 4}]
assert _merge_info([info_a, info_d])['hpi_meas'] == info_a['hpi_meas']
info_d['hpi_meas'] = [{'f1': 3, 'f2': 4}]
assert _merge_info([info_a, info_d])['hpi_meas'] == info_d['hpi_meas']
# This will break because of inconsistency
info_d['hpi_meas'] = [{'f1': 3, 'f2': 5}]
pytest.raises(ValueError, _merge_info, [info_a, info_d])
def test_picks_by_channels():
"""Test creating pick_lists"""
rng = np.random.RandomState(909)
test_data = rng.random_sample((4, 2000))
ch_names = ['MEG %03d' % i for i in [1, 2, 3, 4]]
ch_types = ['grad', 'mag', 'mag', 'eeg']
sfreq = 250.0
info = create_info(ch_names=ch_names, sfreq=sfreq, ch_types=ch_types)
raw = RawArray(test_data, info)
pick_list = _picks_by_type(raw.info)
assert_equal(len(pick_list), 3)
assert_equal(pick_list[0][0], 'mag')
pick_list2 = _picks_by_type(raw.info, meg_combined=False)
assert_equal(len(pick_list), len(pick_list2))
assert_equal(pick_list2[0][0], 'mag')
pick_list2 = _picks_by_type(raw.info, meg_combined=True)
assert_equal(len(pick_list), len(pick_list2) + 1)
assert_equal(pick_list2[0][0], 'meg')
test_data = rng.random_sample((4, 2000))
ch_names = ['MEG %03d' % i for i in [1, 2, 3, 4]]
ch_types = ['mag', 'mag', 'mag', 'mag']
sfreq = 250.0
info = create_info(ch_names=ch_names, sfreq=sfreq, ch_types=ch_types)
raw = RawArray(test_data, info)
# Make sure checks for list input work.
assert_raises(ValueError, pick_channels, ch_names, 'MEG 001')
assert_raises(ValueError, pick_channels, ch_names, ['MEG 001'], 'hi')
pick_list = _picks_by_type(raw.info)
assert_equal(len(pick_list), 1)
assert_equal(pick_list[0][0], 'mag')
pick_list2 = _picks_by_type(raw.info, meg_combined=True)
assert_equal(len(pick_list), len(pick_list2))
assert_equal(pick_list2[0][0], 'mag')
def test_picks_by_channels():
"""Test creating pick_lists"""
rng = np.random.RandomState(909)
test_data = rng.random_sample((4, 2000))
ch_names = ['MEG %03d' % i for i in [1, 2, 3, 4]]
ch_types = ['grad', 'mag', 'mag', 'eeg']
sfreq = 250.0
info = create_info(ch_names=ch_names, sfreq=sfreq, ch_types=ch_types)
raw = RawArray(test_data, info)
pick_list = _picks_by_type(raw.info)
assert_equal(len(pick_list), 3)
assert_equal(pick_list[0][0], 'mag')
pick_list2 = _picks_by_type(raw.info, meg_combined=False)
assert_equal(len(pick_list), len(pick_list2))
assert_equal(pick_list2[0][0], 'mag')
pick_list2 = _picks_by_type(raw.info, meg_combined=True)
assert_equal(len(pick_list), len(pick_list2) + 1)
assert_equal(pick_list2[0][0], 'meg')
test_data = rng.random_sample((4, 2000))
ch_names = ['MEG %03d' % i for i in [1, 2, 3, 4]]
ch_types = ['mag', 'mag', 'mag', 'mag']
sfreq = 250.0
info = create_info(ch_names=ch_names, sfreq=sfreq, ch_types=ch_types)
raw = RawArray(test_data, info)
# Make sure checks for list input work.
assert_raises(ValueError, pick_channels, ch_names, 'MEG 001')
assert_raises(ValueError, pick_channels, ch_names, ['MEG 001'], 'hi')
pick_list = _picks_by_type(raw.info)
assert_equal(len(pick_list), 1)
assert_equal(pick_list[0][0], 'mag')
pick_list2 = _picks_by_type(raw.info, meg_combined=True)
assert_equal(len(pick_list), len(pick_list2))
assert_equal(pick_list2[0][0], 'mag')
def test_array_epochs():
"""Test creating epochs from array
"""
# creating
rng = np.random.RandomState(42)
data = rng.random_sample((10, 20, 300))
sfreq = 1e3
ch_names = ["EEG %03d" % (i + 1) for i in range(20)]
types = ["eeg"] * 20
info = create_info(ch_names, sfreq, types)
events = np.c_[np.arange(1, 600, 60), np.zeros(10), [1, 2] * 5]
event_id = {"a": 1, "b": 2}
epochs = EpochsArray(data, info, events=events, event_id=event_id, tmin=-0.2)
# saving
temp_fname = op.join(tempdir, "test-epo.fif")
epochs.save(temp_fname)
epochs2 = read_epochs(temp_fname)
data2 = epochs2.get_data()
assert_allclose(data, data2)
assert_allclose(epochs.times, epochs2.times)
assert_equal(epochs.event_id, epochs2.event_id)
assert_array_equal(epochs.events, epochs2.events)
# plotting
import matplotlib
matplotlib.use("Agg") # for testing don't use X server
epochs[0].plot()
# indexing
assert_array_equal(np.unique(epochs["a"].events[:, 2]), np.array([1]))
assert_equal(len(epochs[:2]), 2)
data[0, 5, 150] = 3000
data[1, :, :] = 0
data[2, 5, 210] = 3000
data[3, 5, 260] = 0
epochs = EpochsArray(
data,
info,
events=events,
event_id=event_id,
tmin=0,
reject=dict(eeg=1000),
flat=dict(eeg=1e-1),
reject_tmin=0.1,
reject_tmax=0.2,
)
assert_equal(len(epochs), len(events) - 2)
assert_equal(epochs.drop_log[0], ["EEG 006"])
assert_equal(len(events), len(epochs.selection))
def __init__(self, input_fname, montage=None, eog=None,
misc=(-4, -3, -2, -1), stim_channel=None, scale=1e-6, sfreq=250,
missing_tol=1, preload=True, verbose=None):
bci_info = {'missing_tol': missing_tol, 'stim_channel': stim_channel}
openbci_channames = ["FP1", "FP2", "C3", "C4", "P7", "P8", "O1", "O2", "F7", "F8", "F3", "F4", "T7", "T8", "P3", "P4"]
if not eog:
eog = list()
if not misc:
misc = list()
nsamps, nchan = self._get_data_dims(input_fname)
last_samps = [nsamps - 1]
ch_names = ['EEG %03d' % num for num in range(1, nchan + 1)]
ch_names[:nchan-4] = openbci_channames[:nchan-4]
ch_types = ['eeg'] * nchan
if misc:
misc_names = ['MISC %03d' % ii for ii in range(1, len(misc) + 1)]
misc_types = ['misc'] * len(misc)
for ii, mi in enumerate(misc):
ch_names[mi] = misc_names[ii]
ch_types[mi] = misc_types[ii]
if eog:
eog_names = ['EOG %03d' % ii for ii in range(len(eog))]
eog_types = ['eog'] * len(eog)
for ii, ei in enumerate(eog):
ch_names[ei] = eog_names[ii]
ch_types[ei] = eog_types[ii]
if stim_channel:
ch_names[stim_channel] = 'STI 014'
ch_types[stim_channel] = 'stim'
# mark last channel as the timestamp channel
ch_names[-1] = "Timestamps"
ch_types[-1] = "misc"
# fix it for eog and misc marking
info = create_info(ch_names, sfreq, ch_types, montage)
info["buffer_size_sec"] = 1.
super(RawOpenBCI, self).__init__(info, last_samps=last_samps,
raw_extras=[bci_info],
filenames=[input_fname],
preload=False, verbose=verbose)
# load data
if preload:
self.preload = preload
logger.info('Reading raw data from %s...' % input_fname)
self._data = self._read_segment()
def test_make_info():
"""Test some create_info properties."""
n_ch = 1
info = create_info(n_ch, 1000.0, "eeg")
assert_equal(sorted(info.keys()), sorted(RAW_INFO_FIELDS))
coil_types = set([ch["coil_type"] for ch in info["chs"]])
assert_true(FIFF.FIFFV_COIL_EEG in coil_types)
assert_raises(TypeError, create_info, ch_names="Test Ch", sfreq=1000)
assert_raises(ValueError, create_info, ch_names=["Test Ch"], sfreq=-1000)
assert_raises(ValueError, create_info, ch_names=["Test Ch"], sfreq=1000, ch_types=["eeg", "eeg"])
assert_raises(TypeError, create_info, ch_names=[np.array([1])], sfreq=1000)
assert_raises(TypeError, create_info, ch_names=["Test Ch"], sfreq=1000, ch_types=np.array([1]))
assert_raises(KeyError, create_info, ch_names=["Test Ch"], sfreq=1000, ch_types="awesome")
assert_raises(TypeError, create_info, ["Test Ch"], sfreq=1000, ch_types=None, montage=np.array([1]))
m = read_montage("biosemi32")
info = create_info(ch_names=m.ch_names, sfreq=1000.0, ch_types="eeg", montage=m)
ch_pos = [ch["loc"][:3] for ch in info["chs"]]
assert_array_equal(ch_pos, m.pos)
names = ["nasion", "lpa", "rpa", "1", "2", "3", "4", "5"]
d = read_dig_montage(hsp_fname, None, elp_fname, names, unit="m", transform=False)
info = create_info(ch_names=m.ch_names, sfreq=1000.0, ch_types="eeg", montage=d)
idents = [p["ident"] for p in info["dig"]]
assert_true(FIFF.FIFFV_POINT_NASION in idents)
info = create_info(ch_names=m.ch_names, sfreq=1000.0, ch_types="eeg", montage=[d, m])
ch_pos = [ch["loc"][:3] for ch in info["chs"]]
assert_array_equal(ch_pos, m.pos)
idents = [p["ident"] for p in info["dig"]]
assert_true(FIFF.FIFFV_POINT_NASION in idents)
info = create_info(ch_names=m.ch_names, sfreq=1000.0, ch_types="eeg", montage=[d, "biosemi32"])
ch_pos = [ch["loc"][:3] for ch in info["chs"]]
assert_array_equal(ch_pos, m.pos)
idents = [p["ident"] for p in info["dig"]]
assert_true(FIFF.FIFFV_POINT_NASION in idents)
def test_make_dig_points():
"""Test application of Polhemus HSP to info."""
extra_points = _read_dig_points(hsp_fname)
info = create_info(ch_names=["Test Ch"], sfreq=1000.0, ch_types=None)
assert_false(info["dig"])
info["dig"] = _make_dig_points(extra_points=extra_points)
assert_true(info["dig"])
assert_allclose(info["dig"][0]["r"], [-0.10693, 0.09980, 0.06881])
elp_points = _read_dig_points(elp_fname)
nasion, lpa, rpa = elp_points[:3]
info = create_info(ch_names=["Test Ch"], sfreq=1000.0, ch_types=None)
assert_false(info["dig"])
info["dig"] = _make_dig_points(nasion, lpa, rpa, elp_points[3:], None)
assert_true(info["dig"])
idx = [d["ident"] for d in info["dig"]].index(FIFF.FIFFV_POINT_NASION)
assert_array_equal(info["dig"][idx]["r"], np.array([0.0013930, 0.0131613, -0.0046967]))
assert_raises(ValueError, _make_dig_points, nasion[:2])
assert_raises(ValueError, _make_dig_points, None, lpa[:2])
assert_raises(ValueError, _make_dig_points, None, None, rpa[:2])
assert_raises(ValueError, _make_dig_points, None, None, None, elp_points[:, :2])
assert_raises(ValueError, _make_dig_points, None, None, None, None, elp_points[:, :2])
def test_picks_by_channels():
"""Test creating pick_lists"""
rng = np.random.RandomState(909)
test_data = rng.random_sample((4, 2000))
ch_names = ["MEG %03d" % i for i in [1, 2, 3, 4]]
ch_types = ["grad", "mag", "mag", "eeg"]
sfreq = 250.0
info = create_info(ch_names=ch_names, sfreq=sfreq, ch_types=ch_types)
raw = RawArray(test_data, info)
pick_list = _picks_by_type(raw.info)
assert_equal(len(pick_list), 3)
assert_equal(pick_list[0][0], "mag")
pick_list2 = _picks_by_type(raw.info, meg_combined=False)
assert_equal(len(pick_list), len(pick_list2))
assert_equal(pick_list2[0][0], "mag")
pick_list2 = _picks_by_type(raw.info, meg_combined=True)
assert_equal(len(pick_list), len(pick_list2) + 1)
assert_equal(pick_list2[0][0], "meg")
test_data = rng.random_sample((4, 2000))
ch_names = ["MEG %03d" % i for i in [1, 2, 3, 4]]
ch_types = ["mag", "mag", "mag", "mag"]
sfreq = 250.0
info = create_info(ch_names=ch_names, sfreq=sfreq, ch_types=ch_types)
raw = RawArray(test_data, info)
pick_list = _picks_by_type(raw.info)
assert_equal(len(pick_list), 1)
assert_equal(pick_list[0][0], "mag")
pick_list2 = _picks_by_type(raw.info, meg_combined=True)
assert_equal(len(pick_list), len(pick_list2))
assert_equal(pick_list2[0][0], "mag")
def add_channels(inst, data, ch_names, ch_types):
from mne.io import _BaseRaw, RawArray
from mne.epochs import _BaseEpochs, EpochsArray
from mne import create_info
if 'meg' in ch_types or 'eeg' in ch_types:
return NotImplementedError('Can only add misc, stim and ieeg channels')
info = create_info(ch_names=ch_names, sfreq=inst.info['sfreq'],
ch_types=ch_types)
if isinstance(inst, _BaseRaw):
for key in ('buffer_size_sec', 'filename'):
info[key] = inst.info[key]
new_inst = RawArray(data, info=info, first_samp=inst._first_samps[0])
elif isinstance(inst, _BaseEpochs):
new_inst = EpochsArray(data, info=info)
else:
raise ValueError('unknown inst type')
return inst.add_channels([new_inst], copy=True)
def test_pick_seeg():
names = 'A1 A2 Fz O OTp1 OTp2 OTp3'.split()
types = 'mag mag eeg eeg seeg seeg seeg'.split()
info = create_info(names, 1024., types)
idx = channel_indices_by_type(info)
assert_array_equal(idx['mag'], [0, 1])
assert_array_equal(idx['eeg'], [2, 3])
assert_array_equal(idx['seeg'], [4, 5, 6])
assert_array_equal(pick_types(info, meg=False, seeg=True), [4, 5, 6])
for i, t in enumerate(types):
assert_equal(channel_type(info, i), types[i])
raw = RawArray(zeros((len(names), 10)), info)
events = array([[1, 0, 0], [2, 0, 0]]).astype('d')
epochs = Epochs(raw, events, {'event': 0}, -1e-5, 1e-5)
evoked = epochs.average(pick_types(epochs.info, meg=True, seeg=True))
e_seeg = pick_types_evoked(evoked, meg=False, seeg=True)
for l, r in zip(e_seeg.ch_names, names[4:]):
assert_equal(l, r)
def test_pick_seeg():
"""Test picking with SEEG
"""
names = "A1 A2 Fz O OTp1 OTp2 OTp3".split()
types = "mag mag eeg eeg seeg seeg seeg".split()
info = create_info(names, 1024.0, types)
idx = channel_indices_by_type(info)
assert_array_equal(idx["mag"], [0, 1])
assert_array_equal(idx["eeg"], [2, 3])
assert_array_equal(idx["seeg"], [4, 5, 6])
assert_array_equal(pick_types(info, meg=False, seeg=True), [4, 5, 6])
for i, t in enumerate(types):
assert_equal(channel_type(info, i), types[i])
raw = RawArray(np.zeros((len(names), 10)), info)
events = np.array([[1, 0, 0], [2, 0, 0]]).astype("d")
epochs = Epochs(raw, events, {"event": 0}, -1e-5, 1e-5)
evoked = epochs.average(pick_types(epochs.info, meg=True, seeg=True))
e_seeg = evoked.pick_types(meg=False, seeg=True, copy=True)
for l, r in zip(e_seeg.ch_names, names[4:]):
assert_equal(l, r)
