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_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_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_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_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'] = 'foo'
    assert_raises(ValueError, info2._check_consistency)

    info2 = info.copy()
    info2['lowpass'] = 'foo'
    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_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'] = 'foo'
    pytest.raises(ValueError, info2._check_consistency)

    info2 = info.copy()
    info2['lowpass'] = 'foo'
    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_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 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 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 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_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"] = "foo"
    assert_raises(ValueError, info2._check_consistency)

    info2 = info.copy()
    info2["lowpass"] = "foo"
    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., 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 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_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'] = 'foo'
    assert_raises(ValueError, info2._check_consistency)

    info2 = info.copy()
    info2['lowpass'] = 'foo'
    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_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)