def test_magnetic_dipole():
"""Test basic magnetic dipole forward calculation."""
trans = Transform('mri', 'head')
info = read_info(fname_raw)
picks = pick_types(info, meg=True, eeg=False, exclude=[])
info = pick_info(info, picks[:12])
coils = _create_meg_coils(info['chs'], 'normal', trans)
# magnetic dipole at device origin
r0 = np.array([0., 13., -6.])
for ch, coil in zip(info['chs'], coils):
rr = (ch['loc'][:3] + r0) / 2.
far_fwd = _magnetic_dipole_field_vec(r0[np.newaxis, :], [coil])
near_fwd = _magnetic_dipole_field_vec(rr[np.newaxis, :], [coil])
ratio = 8. if ch['ch_name'][-1] == '1' else 16. # grad vs mag
assert_allclose(np.median(near_fwd / far_fwd), ratio, atol=1e-1)
def test_fit_sphere_to_headshape():
"""Test fitting a sphere to digitization points."""
# Create points of various kinds
rad = 0.09
big_rad = 0.12
center = np.array([0.0005, -0.01, 0.04])
dev_trans = np.array([0., -0.005, -0.01])
dev_center = center - dev_trans
dig = [
# Left auricular
{'coord_frame': FIFF.FIFFV_COORD_HEAD,
'ident': FIFF.FIFFV_POINT_LPA,
'kind': FIFF.FIFFV_POINT_CARDINAL,
'r': np.array([-1.0, 0.0, 0.0])},
# Nasion
{'coord_frame': FIFF.FIFFV_COORD_HEAD,
'ident': FIFF.FIFFV_POINT_NASION,
'kind': FIFF.FIFFV_POINT_CARDINAL,
'r': np.array([0.0, 1.0, 0.0])},
# Right auricular
{'coord_frame': FIFF.FIFFV_COORD_HEAD,
'ident': FIFF.FIFFV_POINT_RPA,
'kind': FIFF.FIFFV_POINT_CARDINAL,
'r': np.array([1.0, 0.0, 0.0])},
# Top of the head (extra point)
{'coord_frame': FIFF.FIFFV_COORD_HEAD,
'kind': FIFF.FIFFV_POINT_EXTRA,
'ident': 0,
'r': np.array([0.0, 0.0, 1.0])},
# EEG points
# Fz
{'coord_frame': FIFF.FIFFV_COORD_HEAD,
'kind': FIFF.FIFFV_POINT_EEG,
'ident': 0,
'r': np.array([0, .72, .69])},
# F3
{'coord_frame': FIFF.FIFFV_COORD_HEAD,
'kind': FIFF.FIFFV_POINT_EEG,
'ident': 1,
'r': np.array([-.55, .67, .50])},
# F4
{'coord_frame': FIFF.FIFFV_COORD_HEAD,
'kind': FIFF.FIFFV_POINT_EEG,
'ident': 2,
'r': np.array([.55, .67, .50])},
# Cz
{'coord_frame': FIFF.FIFFV_COORD_HEAD,
'kind': FIFF.FIFFV_POINT_EEG,
'ident': 3,
'r': np.array([0.0, 0.0, 1.0])},
# Pz
{'coord_frame': FIFF.FIFFV_COORD_HEAD,
'kind': FIFF.FIFFV_POINT_EEG,
'ident': 4,
'r': np.array([0, -.72, .69])},
]
for d in dig:
d['r'] *= rad
d['r'] += center
# Device to head transformation (rotate .2 rad over X-axis)
dev_head_t = Transform('meg', 'head', translation(*(dev_trans)))
info = Info(dig=dig, dev_head_t=dev_head_t)
# Degenerate conditions
pytest.raises(ValueError, fit_sphere_to_headshape, info,
dig_kinds=(FIFF.FIFFV_POINT_HPI,))
pytest.raises(ValueError, fit_sphere_to_headshape, info,
dig_kinds='foo', units='m')
info['dig'][0]['coord_frame'] = FIFF.FIFFV_COORD_DEVICE
pytest.raises(RuntimeError, fit_sphere_to_headshape, info, units='m')
info['dig'][0]['coord_frame'] = FIFF.FIFFV_COORD_HEAD
# # Test with 4 points that match a perfect sphere
dig_kinds = (FIFF.FIFFV_POINT_CARDINAL, FIFF.FIFFV_POINT_EXTRA)
with pytest.warns(RuntimeWarning, match='Only .* head digitization'):
r, oh, od = fit_sphere_to_headshape(info, dig_kinds=dig_kinds,
units='m')
kwargs = dict(rtol=1e-3, atol=1e-5)
assert_allclose(r, rad, **kwargs)
assert_allclose(oh, center, **kwargs)
assert_allclose(od, dev_center, **kwargs)
# Test with all points
dig_kinds = ('cardinal', FIFF.FIFFV_POINT_EXTRA, 'eeg')
kwargs = dict(rtol=1e-3, atol=1e-3)
with pytest.warns(RuntimeWarning, match='Only .* head digitization'):
r, oh, od = fit_sphere_to_headshape(info, dig_kinds=dig_kinds,
units='m')
assert_allclose(r, rad, **kwargs)
assert_allclose(oh, center, **kwargs)
assert_allclose(od, dev_center, **kwargs)
# Test with some noisy EEG points only.
dig_kinds = 'eeg'
with pytest.warns(RuntimeWarning, match='Only .* head digitization'):
r, oh, od = fit_sphere_to_headshape(info, dig_kinds=dig_kinds,
units='m')
kwargs = dict(rtol=1e-3, atol=1e-2)
assert_allclose(r, rad, **kwargs)
assert_allclose(oh, center, **kwargs)
assert_allclose(od, center, **kwargs)
# Test big size
dig_kinds = ('cardinal', 'extra')
info_big = deepcopy(info)
for d in info_big['dig']:
d['r'] -= center
d['r'] *= big_rad / rad
d['r'] += center
with pytest.warns(RuntimeWarning, match='Estimated head size'):
r, oh, od = fit_sphere_to_headshape(info_big, dig_kinds=dig_kinds,
units='mm')
assert_allclose(oh, center * 1000, atol=1e-3)
assert_allclose(r, big_rad * 1000, atol=1e-3)
del info_big
# Test offcenter
dig_kinds = ('cardinal', 'extra')
info_shift = deepcopy(info)
shift_center = np.array([0., -0.03, 0.])
for d in info_shift['dig']:
d['r'] -= center
d['r'] += shift_center
with pytest.warns(RuntimeWarning, match='from head frame origin'):
r, oh, od = fit_sphere_to_headshape(
info_shift, dig_kinds=dig_kinds, units='m')
assert_allclose(oh, shift_center, atol=1e-6)
assert_allclose(r, rad, atol=1e-6)
# Test "auto" mode (default)
# Should try "extra", fail, and go on to EEG
with pytest.warns(RuntimeWarning, match='Only .* head digitization'):
r, oh, od = fit_sphere_to_headshape(info, units='m')
kwargs = dict(rtol=1e-3, atol=1e-3)
assert_allclose(r, rad, **kwargs)
assert_allclose(oh, center, **kwargs)
assert_allclose(od, dev_center, **kwargs)
with pytest.warns(RuntimeWarning, match='Only .* head digitization'):
r2, oh2, od2 = fit_sphere_to_headshape(info, units='m')
assert_allclose(r, r2, atol=1e-7)
assert_allclose(oh, oh2, atol=1e-7)
assert_allclose(od, od2, atol=1e-7)
# this one should pass, 1 EXTRA point and 3 EEG (but the fit is terrible)
info = Info(dig=dig[:7], dev_head_t=dev_head_t)
with pytest.warns(RuntimeWarning, match='Only .* head digitization'):
r, oh, od = fit_sphere_to_headshape(info, units='m')
# this one should fail, 1 EXTRA point and 3 EEG (but the fit is terrible)
info = Info(dig=dig[:6], dev_head_t=dev_head_t)
pytest.raises(ValueError, fit_sphere_to_headshape, info, units='m')
pytest.raises(TypeError, fit_sphere_to_headshape, 1, units='m')
def test_fit_sphere_to_headshape():
"""Test fitting a sphere to digitization points"""
# Create points of various kinds
rad = 90. # mm
center = np.array([0.5, -10., 40.]) # mm
dev_trans = np.array([0., -0.005, -10.])
dev_center = center - dev_trans
dig = [
# Left auricular
{
'coord_frame': FIFF.FIFFV_COORD_HEAD,
'ident': FIFF.FIFFV_POINT_LPA,
'kind': FIFF.FIFFV_POINT_CARDINAL,
'r': np.array([-1.0, 0.0, 0.0])
},
# Nasion
{
'coord_frame': FIFF.FIFFV_COORD_HEAD,
'ident': FIFF.FIFFV_POINT_NASION,
'kind': FIFF.FIFFV_POINT_CARDINAL,
'r': np.array([0.0, 1.0, 0.0])
},
# Right auricular
{
'coord_frame': FIFF.FIFFV_COORD_HEAD,
'ident': FIFF.FIFFV_POINT_RPA,
'kind': FIFF.FIFFV_POINT_CARDINAL,
'r': np.array([1.0, 0.0, 0.0])
},
# Top of the head (extra point)
{
'coord_frame': FIFF.FIFFV_COORD_HEAD,
'kind': FIFF.FIFFV_POINT_EXTRA,
'r': np.array([0.0, 0.0, 1.0])
},
# EEG points
# Fz
{
'coord_frame': FIFF.FIFFV_COORD_HEAD,
'kind': FIFF.FIFFV_POINT_EEG,
'r': np.array([0, .72, .69])
},
# F3
{
'coord_frame': FIFF.FIFFV_COORD_HEAD,
'kind': FIFF.FIFFV_POINT_EEG,
'r': np.array([-.55, .67, .50])
},
# F4
{
'coord_frame': FIFF.FIFFV_COORD_HEAD,
'kind': FIFF.FIFFV_POINT_EEG,
'r': np.array([.55, .67, .50])
},
# Cz
{
'coord_frame': FIFF.FIFFV_COORD_HEAD,
'kind': FIFF.FIFFV_POINT_EEG,
'r': np.array([0.0, 0.0, 1.0])
},
# Pz
{
'coord_frame': FIFF.FIFFV_COORD_HEAD,
'kind': FIFF.FIFFV_POINT_EEG,
'r': np.array([0, -.72, .69])
},
]
for d in dig:
d['r'] *= rad / 1000.
d['r'] += center / 1000.
# Device to head transformation (rotate .2 rad over X-axis)
dev_head_t = Transform('meg', 'head', translation(*(dev_trans / 1000.)))
info = {'dig': dig, 'dev_head_t': dev_head_t}
# Degenerate conditions
assert_raises(ValueError,
fit_sphere_to_headshape,
info,
dig_kinds=(FIFF.FIFFV_POINT_HPI, ))
info['dig'][0]['coord_frame'] = FIFF.FIFFV_COORD_DEVICE
assert_raises(RuntimeError, fit_sphere_to_headshape, info)
info['dig'][0]['coord_frame'] = FIFF.FIFFV_COORD_HEAD
# # Test with 4 points that match a perfect sphere
dig_kinds = (FIFF.FIFFV_POINT_CARDINAL, FIFF.FIFFV_POINT_EXTRA)
r, oh, od = fit_sphere_to_headshape(info, dig_kinds=dig_kinds)
kwargs = dict(rtol=1e-3, atol=1e-2) # in mm
assert_allclose(r, rad, **kwargs)
assert_allclose(oh, center, **kwargs)
assert_allclose(od, dev_center, **kwargs)
# Test with all points
dig_kinds = (FIFF.FIFFV_POINT_CARDINAL, FIFF.FIFFV_POINT_EXTRA,
FIFF.FIFFV_POINT_EXTRA)
r, oh, od = fit_sphere_to_headshape(info, dig_kinds=dig_kinds)
assert_allclose(r, rad, **kwargs)
assert_allclose(oh, center, **kwargs)
assert_allclose(od, dev_center, **kwargs)
# Test with some noisy EEG points only.
dig_kinds = (FIFF.FIFFV_POINT_EEG, )
r, oh, od = fit_sphere_to_headshape(info, dig_kinds=dig_kinds)
kwargs = dict(rtol=1e-3, atol=10.) # in mm
assert_allclose(r, rad, **kwargs)
assert_allclose(oh, center, **kwargs)
assert_allclose(od, center, **kwargs)
dig = [dict(coord_frame=FIFF.FIFFV_COORD_DEVICE, )]
def test_fit_sphere_to_headshape():
"""Test fitting a sphere to digitization points"""
# Create points of various kinds
rad = 0.09
big_rad = 0.12
center = np.array([0.0005, -0.01, 0.04])
dev_trans = np.array([0., -0.005, -0.01])
dev_center = center - dev_trans
dig = [
# Left auricular
{
'coord_frame': FIFF.FIFFV_COORD_HEAD,
'ident': FIFF.FIFFV_POINT_LPA,
'kind': FIFF.FIFFV_POINT_CARDINAL,
'r': np.array([-1.0, 0.0, 0.0])
},
# Nasion
{
'coord_frame': FIFF.FIFFV_COORD_HEAD,
'ident': FIFF.FIFFV_POINT_NASION,
'kind': FIFF.FIFFV_POINT_CARDINAL,
'r': np.array([0.0, 1.0, 0.0])
},
# Right auricular
{
'coord_frame': FIFF.FIFFV_COORD_HEAD,
'ident': FIFF.FIFFV_POINT_RPA,
'kind': FIFF.FIFFV_POINT_CARDINAL,
'r': np.array([1.0, 0.0, 0.0])
},
# Top of the head (extra point)
{
'coord_frame': FIFF.FIFFV_COORD_HEAD,
'kind': FIFF.FIFFV_POINT_EXTRA,
'r': np.array([0.0, 0.0, 1.0])
},
# EEG points
# Fz
{
'coord_frame': FIFF.FIFFV_COORD_HEAD,
'kind': FIFF.FIFFV_POINT_EEG,
'r': np.array([0, .72, .69])
},
# F3
{
'coord_frame': FIFF.FIFFV_COORD_HEAD,
'kind': FIFF.FIFFV_POINT_EEG,
'r': np.array([-.55, .67, .50])
},
# F4
{
'coord_frame': FIFF.FIFFV_COORD_HEAD,
'kind': FIFF.FIFFV_POINT_EEG,
'r': np.array([.55, .67, .50])
},
# Cz
{
'coord_frame': FIFF.FIFFV_COORD_HEAD,
'kind': FIFF.FIFFV_POINT_EEG,
'r': np.array([0.0, 0.0, 1.0])
},
# Pz
{
'coord_frame': FIFF.FIFFV_COORD_HEAD,
'kind': FIFF.FIFFV_POINT_EEG,
'r': np.array([0, -.72, .69])
},
]
for d in dig:
d['r'] *= rad
d['r'] += center
# Device to head transformation (rotate .2 rad over X-axis)
dev_head_t = Transform('meg', 'head', translation(*(dev_trans)))
info = {'dig': dig, 'dev_head_t': dev_head_t}
# Degenerate conditions
with warnings.catch_warnings(record=True) as w:
assert_raises(ValueError,
fit_sphere_to_headshape,
info,
dig_kinds=(FIFF.FIFFV_POINT_HPI, ))
assert_equal(len(w), 1)
assert_true(w[0].category == DeprecationWarning)
assert_raises(ValueError,
fit_sphere_to_headshape,
info,
dig_kinds='foo',
units='m')
info['dig'][0]['coord_frame'] = FIFF.FIFFV_COORD_DEVICE
assert_raises(RuntimeError, fit_sphere_to_headshape, info, units='m')
info['dig'][0]['coord_frame'] = FIFF.FIFFV_COORD_HEAD
# # Test with 4 points that match a perfect sphere
dig_kinds = (FIFF.FIFFV_POINT_CARDINAL, FIFF.FIFFV_POINT_EXTRA)
with warnings.catch_warnings(record=True): # not enough points
r, oh, od = fit_sphere_to_headshape(info,
dig_kinds=dig_kinds,
units='m')
kwargs = dict(rtol=1e-3, atol=1e-5)
assert_allclose(r, rad, **kwargs)
assert_allclose(oh, center, **kwargs)
assert_allclose(od, dev_center, **kwargs)
# Test with all points
dig_kinds = ('cardinal', FIFF.FIFFV_POINT_EXTRA, 'eeg')
kwargs = dict(rtol=1e-3, atol=1e-3)
with warnings.catch_warnings(record=True): # not enough points
r, oh, od = fit_sphere_to_headshape(info,
dig_kinds=dig_kinds,
units='m')
assert_allclose(r, rad, **kwargs)
assert_allclose(oh, center, **kwargs)
assert_allclose(od, dev_center, **kwargs)
# Test with some noisy EEG points only.
dig_kinds = 'eeg'
with warnings.catch_warnings(record=True): # not enough points
r, oh, od = fit_sphere_to_headshape(info,
dig_kinds=dig_kinds,
units='m')
kwargs = dict(rtol=1e-3, atol=1e-2)
assert_allclose(r, rad, **kwargs)
assert_allclose(oh, center, **kwargs)
assert_allclose(od, center, **kwargs)
# Test big size
dig_kinds = ('cardinal', 'extra')
info_big = deepcopy(info)
for d in info_big['dig']:
d['r'] -= center
d['r'] *= big_rad / rad
d['r'] += center
with warnings.catch_warnings(record=True): # fit
with catch_logging() as log_file:
r, oh, od = fit_sphere_to_headshape(info_big,
dig_kinds=dig_kinds,
verbose='warning',
units='mm')
log_file = log_file.getvalue().strip()
assert_equal(len(log_file.split('\n')), 2)
assert_true('Estimated head size' in log_file)
assert_allclose(oh, center * 1000, atol=1e-3)
assert_allclose(r, big_rad * 1000, atol=1e-3)
del info_big
# Test offcenter
dig_kinds = ('cardinal', 'extra')
info_shift = deepcopy(info)
shift_center = np.array([0., -0.03, 0.])
for d in info_shift['dig']:
d['r'] -= center
d['r'] += shift_center
with warnings.catch_warnings(record=True):
with catch_logging() as log_file:
r, oh, od = fit_sphere_to_headshape(info_shift,
dig_kinds=dig_kinds,
verbose='warning',
units='m')
log_file = log_file.getvalue().strip()
assert_equal(len(log_file.split('\n')), 2)
assert_true('from head frame origin' in log_file)
assert_allclose(oh, shift_center, atol=1e-6)
assert_allclose(r, rad, atol=1e-6)
# Test "auto" mode (default)
# Should try "extra", fail, and go on to EEG
with warnings.catch_warnings(record=True): # not enough points
r, oh, od = fit_sphere_to_headshape(info, units='m')
kwargs = dict(rtol=1e-3, atol=1e-3)
assert_allclose(r, rad, **kwargs)
assert_allclose(oh, center, **kwargs)
assert_allclose(od, dev_center, **kwargs)
with warnings.catch_warnings(record=True): # not enough points
r2, oh2, od2 = fit_sphere_to_headshape(info, units='m')
assert_allclose(r, r2, atol=1e-7)
assert_allclose(oh, oh2, atol=1e-7)
assert_allclose(od, od2, atol=1e-7)
# this one should pass, 1 EXTRA point and 3 EEG (but the fit is terrible)
info = {'dig': dig[:7], 'dev_head_t': dev_head_t}
with warnings.catch_warnings(record=True): # bad fit
r, oh, od = fit_sphere_to_headshape(info, units='m')
# this one should fail, 1 EXTRA point and 3 EEG (but the fit is terrible)
info = {'dig': dig[:6], 'dev_head_t': dev_head_t}
assert_raises(ValueError, fit_sphere_to_headshape, info, units='m')
def test_fit_sphere_to_headshape():
"""Test fitting a sphere to digitization points"""
# Create points of various kinds
rad = 90. # mm
big_rad = 120.
center = np.array([0.5, -10., 40.]) # mm
dev_trans = np.array([0., -0.005, -10.])
dev_center = center - dev_trans
dig = [
# Left auricular
{'coord_frame': FIFF.FIFFV_COORD_HEAD,
'ident': FIFF.FIFFV_POINT_LPA,
'kind': FIFF.FIFFV_POINT_CARDINAL,
'r': np.array([-1.0, 0.0, 0.0])},
# Nasion
{'coord_frame': FIFF.FIFFV_COORD_HEAD,
'ident': FIFF.FIFFV_POINT_NASION,
'kind': FIFF.FIFFV_POINT_CARDINAL,
'r': np.array([0.0, 1.0, 0.0])},
# Right auricular
{'coord_frame': FIFF.FIFFV_COORD_HEAD,
'ident': FIFF.FIFFV_POINT_RPA,
'kind': FIFF.FIFFV_POINT_CARDINAL,
'r': np.array([1.0, 0.0, 0.0])},
# Top of the head (extra point)
{'coord_frame': FIFF.FIFFV_COORD_HEAD,
'kind': FIFF.FIFFV_POINT_EXTRA,
'r': np.array([0.0, 0.0, 1.0])},
# EEG points
# Fz
{'coord_frame': FIFF.FIFFV_COORD_HEAD,
'kind': FIFF.FIFFV_POINT_EEG,
'r': np.array([0, .72, .69])},
# F3
{'coord_frame': FIFF.FIFFV_COORD_HEAD,
'kind': FIFF.FIFFV_POINT_EEG,
'r': np.array([-.55, .67, .50])},
# F4
{'coord_frame': FIFF.FIFFV_COORD_HEAD,
'kind': FIFF.FIFFV_POINT_EEG,
'r': np.array([.55, .67, .50])},
# Cz
{'coord_frame': FIFF.FIFFV_COORD_HEAD,
'kind': FIFF.FIFFV_POINT_EEG,
'r': np.array([0.0, 0.0, 1.0])},
# Pz
{'coord_frame': FIFF.FIFFV_COORD_HEAD,
'kind': FIFF.FIFFV_POINT_EEG,
'r': np.array([0, -.72, .69])},
]
for d in dig:
d['r'] *= rad / 1000.
d['r'] += center / 1000.
# Device to head transformation (rotate .2 rad over X-axis)
dev_head_t = Transform('meg', 'head', translation(*(dev_trans / 1000.)))
info = {'dig': dig, 'dev_head_t': dev_head_t}
# Degenerate conditions
assert_raises(ValueError, fit_sphere_to_headshape, info,
dig_kinds=(FIFF.FIFFV_POINT_HPI,))
info['dig'][0]['coord_frame'] = FIFF.FIFFV_COORD_DEVICE
assert_raises(RuntimeError, fit_sphere_to_headshape, info)
info['dig'][0]['coord_frame'] = FIFF.FIFFV_COORD_HEAD
# # Test with 4 points that match a perfect sphere
dig_kinds = (FIFF.FIFFV_POINT_CARDINAL, FIFF.FIFFV_POINT_EXTRA)
r, oh, od = fit_sphere_to_headshape(info, dig_kinds=dig_kinds)
kwargs = dict(rtol=1e-3, atol=1e-2) # in mm
assert_allclose(r, rad, **kwargs)
assert_allclose(oh, center, **kwargs)
assert_allclose(od, dev_center, **kwargs)
# Test with all points
dig_kinds = (FIFF.FIFFV_POINT_CARDINAL, FIFF.FIFFV_POINT_EXTRA,
FIFF.FIFFV_POINT_EEG)
kwargs = dict(rtol=1e-3, atol=1.) # in mm
r, oh, od = fit_sphere_to_headshape(info, dig_kinds=dig_kinds)
assert_allclose(r, rad, **kwargs)
assert_allclose(oh, center, **kwargs)
assert_allclose(od, dev_center, **kwargs)
# Test with some noisy EEG points only.
dig_kinds = (FIFF.FIFFV_POINT_EEG,)
r, oh, od = fit_sphere_to_headshape(info, dig_kinds=dig_kinds)
kwargs = dict(rtol=1e-3, atol=10.) # in mm
assert_allclose(r, rad, **kwargs)
assert_allclose(oh, center, **kwargs)
assert_allclose(od, center, **kwargs)
# Test big size
dig_kinds = (FIFF.FIFFV_POINT_CARDINAL, FIFF.FIFFV_POINT_EXTRA)
info_big = deepcopy(info)
for d in info_big['dig']:
d['r'] -= center / 1000.
d['r'] *= big_rad / rad
d['r'] += center / 1000.
with warnings.catch_warnings(record=True): # fit
with catch_logging() as log_file:
r, oh, od = fit_sphere_to_headshape(info_big, dig_kinds=dig_kinds,
verbose='warning')
log_file = log_file.getvalue().strip()
assert_equal(len(log_file.split('\n')), 1)
assert_true(log_file.startswith('Estimated head size'))
assert_allclose(oh, center, atol=1e-3)
assert_allclose(r, big_rad, atol=1e-3)
del info_big
# Test offcenter
dig_kinds = (FIFF.FIFFV_POINT_CARDINAL, FIFF.FIFFV_POINT_EXTRA)
info_shift = deepcopy(info)
shift_center = np.array([0., -30, 0.])
for d in info_shift['dig']:
d['r'] -= center / 1000.
d['r'] += shift_center / 1000.
with warnings.catch_warnings(record=True):
with catch_logging() as log_file:
r, oh, od = fit_sphere_to_headshape(
info_shift, dig_kinds=dig_kinds, verbose='warning')
log_file = log_file.getvalue().strip()
assert_equal(len(log_file.split('\n')), 1)
assert_true('from head frame origin' in log_file)
assert_allclose(oh, shift_center, atol=1e-3)
assert_allclose(r, rad, atol=1e-3)
