def test_phantom(tmp_path, monkeypatch):
"""Test phantom data downloading."""
# The Otaniemi file is only ~6MB, so in principle maybe we could test
# an actual download here. But it doesn't seem worth it given that
# CircleCI will at least test the VectorView one, and this file should
# not change often.
monkeypatch.setattr(
phantom_base, '_manifest_check_download',
partial(_fake_mcd, name='phantom_otaniemi', fake_files=True))
fetch_phantom('otaniemi', subjects_dir=tmp_path)
assert op.isfile(tmp_path / 'phantom_otaniemi' / 'mri' / 'T1.mgz')
# %%
# .. _plt_brainstorm_phantom_elekta_eeg_sphere_geometry:
#
# Let's use a :ref:`sphere head geometry model <eeg_sphere_model>`
# and let's see the coordinate alignment and the sphere location. The phantom
# is properly modeled by a single-shell sphere with origin (0., 0., 0.).
#
# Even though this is a VectorView/TRIUX phantom, we can use the Otaniemi
# phantom subject as a surrogate because the "head" surface (hemisphere outer
# shell) has the same geometry for both phantoms, even though the internal
# dipole locations differ. The phantom_otaniemi scan was aligned to the
# phantom's head coordinate frame, so an identity ``trans`` is appropriate
# here.
subjects_dir = data_path
fetch_phantom('otaniemi', subjects_dir=subjects_dir)
sphere = mne.make_sphere_model(r0=(0., 0., 0.), head_radius=0.08)
subject = 'phantom_otaniemi'
trans = mne.transforms.Transform('head', 'mri', np.eye(4))
mne.viz.plot_alignment(epochs.info,
subject=subject,
show_axes=True,
bem=sphere,
dig=True,
surfaces=('head-dense', 'inner_skull'),
trans=trans,
mri_fiducials=True,
subjects_dir=subjects_dir)
# %%
# Let's do some dipole fits. We first compute the noise covariance,