def test_braindata():
vol = np.random.randn(*volshape)
tf = tempfile.TemporaryFile(suffix='.png')
mask = db.get_mask(subj, xfmname, "thick")
data = dataset.Volume(vol, subj, xfmname, cmap='RdBu_r', vmin=0, vmax=1)
# quickflat.make_png(tf, data)
mdata = data.masked['thick']
assert len(mdata.data) == mask.sum()
assert np.allclose(mdata.volume[:, mask], mdata.data)
def test_findmask():
vol = np.random.rand(10, *volshape)
mask = db.get_mask(subj, xfmname, "thin")
ds = dataset.Volume(vol[:, mask], subj, xfmname)
assert np.allclose(ds.volume[:, mask], vol[:, mask])
return ds