def test_raw(cur_system, version, use_info):
"""Test comparing reading a raw fiff file and the FieldTrip version."""
# Load the raw fiff file with mne
test_data_folder_ft = get_data_paths(cur_system)
raw_fiff_mne = get_raw_data(cur_system, drop_extra_chs=True)
if use_info:
info = get_raw_info(cur_system)
pytestwarning = {'expected_warning': None}
else:
info = None
pytestwarning = no_info_warning
cur_fname = os.path.join(test_data_folder_ft, 'raw_%s.mat' % (version, ))
if version == 'v73' and not _has_h5py():
with pytest.raises(ImportError):
mne.io.read_raw_fieldtrip(cur_fname, info)
return
with pytest.warns(**pytestwarning):
raw_fiff_ft = mne.io.read_raw_fieldtrip(cur_fname, info)
if cur_system == 'BTI' and not use_info:
raw_fiff_ft.drop_channels(
['MzA', 'MxA', 'MyaA', 'MyA', 'MxaA', 'MzaA'])
if cur_system == 'eximia' and not use_info:
raw_fiff_ft.drop_channels(['TRIG2', 'TRIG1', 'GATE'])
# Check that the data was loaded correctly
check_data(raw_fiff_mne.get_data(), raw_fiff_ft.get_data(), cur_system)
# Check info field
check_info_fields(raw_fiff_mne, raw_fiff_ft, use_info)
def test_read_evoked(cur_system, version, use_info):
"""Test comparing reading an Evoked object and the FieldTrip version."""
test_data_folder_ft = get_data_paths(cur_system)
mne_avg = get_evoked(cur_system)
if use_info:
info = get_raw_info(cur_system)
pytestwarning = {'expected_warning': None}
else:
info = None
pytestwarning = no_info_warning
cur_fname = os.path.join(test_data_folder_ft,
'averaged_%s.mat' % (version, ))
if version == 'v73' and not _has_h5py():
with pytest.raises(ImportError):
mne.io.read_evoked_fieldtrip(cur_fname, info)
return
with pytest.warns(**pytestwarning):
avg_ft = mne.io.read_evoked_fieldtrip(cur_fname, info)
mne_data = mne_avg.data[:, :-1]
ft_data = avg_ft.data
check_data(mne_data, ft_data, cur_system)
check_info_fields(mne_avg, avg_ft, use_info)
def test_read_evoked(cur_system, version, use_info):
"""Test comparing reading an Evoked object and the FieldTrip version."""
test_data_folder_ft = get_data_paths(cur_system)
mne_avg = get_evoked(cur_system)
if use_info:
info = get_raw_info(cur_system)
pytestwarning = {'expected_warning': None}
else:
info = None
pytestwarning = no_info_warning
cur_fname = os.path.join(test_data_folder_ft,
'averaged_%s.mat' % (version,))
if version == 'v73' and not _has_h5py():
with pytest.raises(ImportError):
mne.io.read_evoked_fieldtrip(cur_fname, info)
return
with pytest.warns(**pytestwarning):
avg_ft = mne.io.read_evoked_fieldtrip(cur_fname, info)
mne_data = mne_avg.data[:, :-1]
ft_data = avg_ft.data
check_data(mne_data, ft_data, cur_system)
check_info_fields(mne_avg, avg_ft, use_info)
def test_raw(cur_system, version, use_info):
"""Test comparing reading a raw fiff file and the FieldTrip version."""
# Load the raw fiff file with mne
test_data_folder_ft = get_data_paths(cur_system)
raw_fiff_mne = get_raw_data(cur_system, drop_extra_chs=True)
if use_info:
info = get_raw_info(cur_system)
if cur_system in ('BTI', 'eximia'):
ctx = pytest.warns(RuntimeWarning, match='cannot be found in')
else:
ctx = nullcontext()
else:
info = None
ctx = pytest.warns(**no_info_warning)
cur_fname = os.path.join(test_data_folder_ft, 'raw_%s.mat' % (version, ))
with ctx:
raw_fiff_ft = mne.io.read_raw_fieldtrip(cur_fname, info)
if cur_system == 'BTI' and not use_info:
raw_fiff_ft.drop_channels(
['MzA', 'MxA', 'MyaA', 'MyA', 'MxaA', 'MzaA'])
if cur_system == 'eximia' and not use_info:
raw_fiff_ft.drop_channels(['TRIG2', 'TRIG1', 'GATE'])
# Check that the data was loaded correctly
check_data(raw_fiff_mne.get_data(), raw_fiff_ft.get_data(), cur_system)
# Check info field
check_info_fields(raw_fiff_mne, raw_fiff_ft, use_info)
def test_load_epoched_as_raw():
"""Test whether exception is thrown when loading epochs as raw."""
test_data_folder_ft = get_data_paths('neuromag306')
info = get_raw_info('neuromag306')
cur_fname = os.path.join(test_data_folder_ft, 'epoched_v7.mat')
with pytest.raises(RuntimeError):
mne.io.read_raw_fieldtrip(cur_fname, info)
def test_load_epoched_as_raw():
"""Test whether exception is thrown when loading epochs as raw."""
test_data_folder_ft = get_data_paths('neuromag306')
info = get_raw_info('neuromag306')
cur_fname = os.path.join(test_data_folder_ft, 'epoched_v7.mat')
with pytest.raises(RuntimeError):
mne.io.read_raw_fieldtrip(cur_fname, info)
def test_invalid_trialinfocolumn():
"""Test for exceptions when using wrong values for trialinfo parameter."""
test_data_folder_ft = get_data_paths('neuromag306')
info = get_raw_info('neuromag306')
cur_fname = os.path.join(test_data_folder_ft, 'epoched_v7.mat')
with pytest.raises(ValueError):
mne.io.read_epochs_fieldtrip(cur_fname, info, trialinfo_column=-1)
with pytest.raises(ValueError):
mne.io.read_epochs_fieldtrip(cur_fname, info, trialinfo_column=3)
def test_invalid_trialinfocolumn():
"""Test for exceptions when using wrong values for trialinfo parameter."""
test_data_folder_ft = get_data_paths('neuromag306')
info = get_raw_info('neuromag306')
cur_fname = os.path.join(test_data_folder_ft, 'epoched_v7.mat')
with pytest.raises(ValueError):
mne.io.read_epochs_fieldtrip(cur_fname, info, trialinfo_column=-1)
with pytest.raises(ValueError):
mne.io.read_epochs_fieldtrip(cur_fname, info, trialinfo_column=3)
def test_evoked_with_missing_channels():
"""Test _create_info on evoked data when channels are missing from info."""
cur_system = 'neuromag306'
test_data_folder_ft = get_data_paths(cur_system)
info = get_raw_info(cur_system)
del info['chs'][1:20]
info._update_redundant()
with pytest.warns(RuntimeWarning):
mne.read_evoked_fieldtrip(
os.path.join(test_data_folder_ft, 'averaged_v7.mat'), info)
def test_read_epochs(cur_system, version, use_info, monkeypatch):
"""Test comparing reading an Epochs object and the FieldTrip version."""
pandas = _check_pandas_installed(strict=False)
has_pandas = pandas is not False
test_data_folder_ft = get_data_paths(cur_system)
mne_epoched = get_epochs(cur_system)
if use_info:
info = get_raw_info(cur_system)
pytestwarning = {'expected_warning': None}
else:
info = None
pytestwarning = no_info_warning
cur_fname = os.path.join(test_data_folder_ft,
'epoched_%s.mat' % (version, ))
if has_pandas:
if version == 'v73' and not _has_h5py():
with pytest.raises(ImportError):
mne.io.read_epochs_fieldtrip(cur_fname, info)
return
with pytest.warns(**pytestwarning):
epoched_ft = mne.io.read_epochs_fieldtrip(cur_fname, info)
assert isinstance(epoched_ft.metadata, pandas.DataFrame)
else:
with pytest.warns(None) as warn_record:
if version == 'v73' and not _has_h5py():
with pytest.raises(ImportError):
mne.io.read_epochs_fieldtrip(cur_fname, info)
return
epoched_ft = mne.io.read_epochs_fieldtrip(cur_fname, info)
assert epoched_ft.metadata is None
assert_warning_in_record(pandas_not_found_warning_msg, warn_record)
if pytestwarning['expected_warning'] is not None:
assert_warning_in_record(pytestwarning['match'], warn_record)
mne_data = mne_epoched.get_data()[:, :, :-1]
ft_data = epoched_ft.get_data()
check_data(mne_data, ft_data, cur_system)
check_info_fields(mne_epoched, epoched_ft, use_info)
# weird sfreq
from mne.externals.pymatreader import read_mat
def modify_mat(fname, variable_names=None, ignore_fields=None):
out = read_mat(fname, variable_names, ignore_fields)
if 'fsample' in out['data']:
out['data']['fsample'] = np.repeat(out['data']['fsample'], 2)
return out
monkeypatch.setattr(mne.externals.pymatreader, 'read_mat', modify_mat)
with pytest.warns(RuntimeWarning, match='multiple'):
mne.io.read_epochs_fieldtrip(cur_fname, info)
def test_throw_exception_on_cellarray(version, type):
"""Test for a meaningful exception when the data is a cell array."""
fname = os.path.join(get_data_paths('cellarray'),
'%s_%s.mat' % (type, version))
info = get_raw_info('CNT')
with pytest.raises(RuntimeError, match='Loading of data in cell arrays '
'is not supported'):
if type == 'averaged':
mne.read_evoked_fieldtrip(fname, info)
elif type == 'epoched':
mne.read_epochs_fieldtrip(fname, info)
elif type == 'raw':
mne.io.read_raw_fieldtrip(fname, info)
def test_read_epochs(cur_system, version, use_info, monkeypatch):
"""Test comparing reading an Epochs object and the FieldTrip version."""
pandas = _check_pandas_installed(strict=False)
has_pandas = pandas is not False
test_data_folder_ft = get_data_paths(cur_system)
mne_epoched = get_epochs(cur_system)
if use_info:
info = get_raw_info(cur_system)
ctx = nullcontext()
else:
info = None
ctx = pytest.warns(**no_info_warning)
cur_fname = os.path.join(test_data_folder_ft,
'epoched_%s.mat' % (version, ))
if has_pandas:
with ctx:
epoched_ft = mne.io.read_epochs_fieldtrip(cur_fname, info)
assert isinstance(epoched_ft.metadata, pandas.DataFrame)
else:
with _record_warnings() as warn_record:
epoched_ft = mne.io.read_epochs_fieldtrip(cur_fname, info)
assert epoched_ft.metadata is None
assert_warning_in_record(pandas_not_found_warning_msg, warn_record)
if info is None:
assert_warning_in_record(NOINFO_WARNING, warn_record)
mne_data = mne_epoched.get_data()[:, :, :-1]
ft_data = epoched_ft.get_data()
check_data(mne_data, ft_data, cur_system)
check_info_fields(mne_epoched, epoched_ft, use_info)
read_mat = pymatreader.read_mat
# weird sfreq
def modify_mat(fname, variable_names=None, ignore_fields=None):
out = read_mat(fname, variable_names, ignore_fields)
if 'fsample' in out['data']:
out['data']['fsample'] = np.repeat(out['data']['fsample'], 2)
return out
monkeypatch.setattr(pymatreader, 'read_mat', modify_mat)
with pytest.warns(RuntimeWarning, match='multiple'):
mne.io.read_epochs_fieldtrip(cur_fname, info)
def test_read_evoked(cur_system, version, use_info):
"""Test comparing reading an Evoked object and the FieldTrip version."""
test_data_folder_ft = get_data_paths(cur_system)
mne_avg = get_evoked(cur_system)
if use_info:
info = get_raw_info(cur_system)
ctx = nullcontext()
else:
info = None
ctx = pytest.warns(**no_info_warning)
cur_fname = os.path.join(test_data_folder_ft,
'averaged_%s.mat' % (version, ))
with ctx:
avg_ft = mne.io.read_evoked_fieldtrip(cur_fname, info)
mne_data = mne_avg.data[:, :-1]
ft_data = avg_ft.data
check_data(mne_data, ft_data, cur_system)
check_info_fields(mne_avg, avg_ft, use_info)
def test_read_epochs(cur_system, version, use_info):
"""Test comparing reading an Epochs object and the FieldTrip version."""
pandas = _check_pandas_installed(strict=False)
has_pandas = pandas is not False
test_data_folder_ft = get_data_paths(cur_system)
mne_epoched = get_epochs(cur_system)
if use_info:
info = get_raw_info(cur_system)
pytestwarning = {'expected_warning': None}
else:
info = None
pytestwarning = no_info_warning
cur_fname = os.path.join(test_data_folder_ft,
'epoched_%s.mat' % (version, ))
if has_pandas:
if version == 'v73' and not _has_h5py():
with pytest.raises(ImportError):
mne.io.read_epochs_fieldtrip(cur_fname, info)
return
with pytest.warns(**pytestwarning):
epoched_ft = mne.io.read_epochs_fieldtrip(cur_fname, info)
assert isinstance(epoched_ft.metadata, pandas.DataFrame)
else:
with pytest.warns(None) as warn_record:
if version == 'v73' and not _has_h5py():
with pytest.raises(ImportError):
mne.io.read_epochs_fieldtrip(cur_fname, info)
return
epoched_ft = mne.io.read_epochs_fieldtrip(cur_fname, info)
assert epoched_ft.metadata is None
assert_warning_in_record(pandas_not_found_warning_msg, warn_record)
if pytestwarning['expected_warning'] is not None:
assert_warning_in_record(pytestwarning['match'], warn_record)
mne_data = mne_epoched.get_data()[:, :, :-1]
ft_data = epoched_ft.get_data()
check_data(mne_data, ft_data, cur_system)
check_info_fields(mne_epoched, epoched_ft, use_info)
def test_read_epochs(cur_system, version, use_info):
"""Test comparing reading an Epochs object and the FieldTrip version."""
pandas = _check_pandas_installed(strict=False)
has_pandas = pandas is not False
test_data_folder_ft = get_data_paths(cur_system)
mne_epoched = get_epochs(cur_system)
if use_info:
info = get_raw_info(cur_system)
pytestwarning = {'expected_warning': None}
else:
info = None
pytestwarning = no_info_warning
cur_fname = os.path.join(test_data_folder_ft,
'epoched_%s.mat' % (version,))
if has_pandas:
if version == 'v73' and not _has_h5py():
with pytest.raises(ImportError):
mne.io.read_epochs_fieldtrip(cur_fname, info)
return
with pytest.warns(**pytestwarning):
epoched_ft = mne.io.read_epochs_fieldtrip(cur_fname, info)
assert isinstance(epoched_ft.metadata, pandas.DataFrame)
else:
with pytest.warns(None) as warn_record:
if version == 'v73' and not _has_h5py():
with pytest.raises(ImportError):
mne.io.read_epochs_fieldtrip(cur_fname, info)
return
epoched_ft = mne.io.read_epochs_fieldtrip(cur_fname, info)
assert epoched_ft.metadata is None
assert_warning_in_record(pandas_not_found_warning_msg, warn_record)
if pytestwarning['expected_warning'] is not None:
assert_warning_in_record(pytestwarning['match'], warn_record)
mne_data = mne_epoched.get_data()[:, :, :-1]
ft_data = epoched_ft.get_data()
check_data(mne_data, ft_data, cur_system)
check_info_fields(mne_epoched, epoched_ft, use_info)
def test_raw(cur_system, version, use_info):
"""Test comparing reading a raw fiff file and the FieldTrip version."""
# Load the raw fiff file with mne
test_data_folder_ft = get_data_paths(cur_system)
raw_fiff_mne = get_raw_data(cur_system, drop_extra_chs=True)
if use_info:
info = get_raw_info(cur_system)
pytestwarning = {'expected_warning': None}
else:
info = None
pytestwarning = no_info_warning
cur_fname = os.path.join(test_data_folder_ft,
'raw_%s.mat' % (version,))
if version == 'v73' and not _has_h5py():
with pytest.raises(ImportError):
mne.io.read_raw_fieldtrip(cur_fname, info)
return
with pytest.warns(**pytestwarning):
raw_fiff_ft = mne.io.read_raw_fieldtrip(cur_fname, info)
if cur_system == 'BTI' and not use_info:
raw_fiff_ft.drop_channels(['MzA', 'MxA', 'MyaA',
'MyA', 'MxaA', 'MzaA'])
if cur_system == 'eximia' and not use_info:
raw_fiff_ft.drop_channels(['TRIG2', 'TRIG1', 'GATE'])
# Check that the data was loaded correctly
check_data(raw_fiff_mne.get_data(),
raw_fiff_ft.get_data(),
cur_system)
# Check info field
check_info_fields(raw_fiff_mne, raw_fiff_ft, use_info)