@@ -24,57 +24,20 @@ def setup():
2424 global DATA
2525
2626 DATA ['empty_tck_fname' ] = pjoin (data_path , "empty.tck" )
27- # simple.trk contains only streamlines
27+ # simple.tck contains only streamlines
2828 DATA ['simple_tck_fname' ] = pjoin (data_path , "simple.tck" )
2929 DATA ['simple_tck_big_endian_fname' ] = pjoin (data_path ,
3030 "simple_big_endian.tck" )
31- # standard.trk contains only streamlines
31+ # standard.tck contains only streamlines
3232 DATA ['standard_tck_fname' ] = pjoin (data_path , "standard.tck" )
33- # complex.trk contains streamlines, scalars and properties
34- # DATA['complex_tck_fname'] = pjoin(data_path, "complex.tck")
3533
3634 DATA ['streamlines' ] = [np .arange (1 * 3 , dtype = "f4" ).reshape ((1 , 3 )),
3735 np .arange (2 * 3 , dtype = "f4" ).reshape ((2 , 3 )),
3836 np .arange (5 * 3 , dtype = "f4" ).reshape ((5 , 3 ))]
3937
40- # DATA['fa'] = [np.array([[0.2]], dtype="f4"),
41- # np.array([[0.3],
42- # [0.4]], dtype="f4"),
43- # np.array([[0.5],
44- # [0.6],
45- # [0.6],
46- # [0.7],
47- # [0.8]], dtype="f4")]
48-
49- # DATA['colors'] = [np.array([(1, 0, 0)]*1, dtype="f4"),
50- # np.array([(0, 1, 0)]*2, dtype="f4"),
51- # np.array([(0, 0, 1)]*5, dtype="f4")]
52-
53- # DATA['mean_curvature'] = [np.array([1.11], dtype="f4"),
54- # np.array([2.11], dtype="f4"),
55- # np.array([3.11], dtype="f4")]
56-
57- # DATA['mean_torsion'] = [np.array([1.22], dtype="f4"),
58- # np.array([2.22], dtype="f4"),
59- # np.array([3.22], dtype="f4")]
60-
61- # DATA['mean_colors'] = [np.array([1, 0, 0], dtype="f4"),
62- # np.array([0, 1, 0], dtype="f4"),
63- # np.array([0, 0, 1], dtype="f4")]
64-
65- # DATA['data_per_point'] = {'colors': DATA['colors'],
66- # 'fa': DATA['fa']}
67- # DATA['data_per_streamline'] = {'mean_curvature': DATA['mean_curvature'],
68- # 'mean_torsion': DATA['mean_torsion'],
69- # 'mean_colors': DATA['mean_colors']}
70-
7138 DATA ['empty_tractogram' ] = Tractogram (affine_to_rasmm = np .eye (4 ))
7239 DATA ['simple_tractogram' ] = Tractogram (DATA ['streamlines' ],
7340 affine_to_rasmm = np .eye (4 ))
74- # DATA['complex_tractogram'] = Tractogram(DATA['streamlines'],
75- # DATA['data_per_streamline'],
76- # DATA['data_per_point'],
77- # affine_to_rasmm=np.eye(4))
7841
7942
8043class TestTCK (unittest .TestCase ):
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