def test_dvars(tmpdir):
ground_truth = np.loadtxt(example_data('ds003_sub-01_mc.DVARS'))
dvars = ComputeDVARS(
in_file=example_data('ds003_sub-01_mc.nii.gz'),
in_mask=example_data('ds003_sub-01_mc_brainmask.nii.gz'),
save_all=True,
intensity_normalization=0)
os.chdir(str(tmpdir))
res = dvars.run()
dv1 = np.loadtxt(res.outputs.out_all, skiprows=1)
assert (np.abs(dv1[:, 0] - ground_truth[:, 0]).sum() / len(dv1)) < 0.05
assert (np.abs(dv1[:, 1] - ground_truth[:, 1]).sum() / len(dv1)) < 0.05
assert (np.abs(dv1[:, 2] - ground_truth[:, 2]).sum() / len(dv1)) < 0.05
dvars = ComputeDVARS(
in_file=example_data('ds003_sub-01_mc.nii.gz'),
in_mask=example_data('ds003_sub-01_mc_brainmask.nii.gz'),
save_all=True)
res = dvars.run()
dv1 = np.loadtxt(res.outputs.out_all, skiprows=1)
assert (np.abs(dv1[:, 0] - ground_truth[:, 0]).sum() / len(dv1)) < 0.05
assert (np.abs(dv1[:, 1] - ground_truth[:, 1]).sum() / len(dv1)) > 0.05
assert (np.abs(dv1[:, 2] - ground_truth[:, 2]).sum() / len(dv1)) < 0.05
def test_dvars(tmpdir):
ground_truth = np.loadtxt(example_data('ds003_sub-01_mc.DVARS'))
dvars = ComputeDVARS(in_file=example_data('ds003_sub-01_mc.nii.gz'),
in_mask=example_data('ds003_sub-01_mc_brainmask.nii.gz'),
save_all=True,
intensity_normalization=0)
os.chdir(str(tmpdir))
res = dvars.run()
dv1 = np.loadtxt(res.outputs.out_all, skiprows=1)
assert (np.abs(dv1[:, 0] - ground_truth[:, 0]).sum()/ len(dv1)) < 0.05
assert (np.abs(dv1[:, 1] - ground_truth[:, 1]).sum() / len(dv1)) < 0.05
assert (np.abs(dv1[:, 2] - ground_truth[:, 2]).sum() / len(dv1)) < 0.05
dvars = ComputeDVARS(in_file=example_data('ds003_sub-01_mc.nii.gz'),
in_mask=example_data(
'ds003_sub-01_mc_brainmask.nii.gz'),
save_all=True)
res = dvars.run()
dv1 = np.loadtxt(res.outputs.out_all, skiprows=1)
assert (np.abs(dv1[:, 0] - ground_truth[:, 0]).sum() / len(dv1)) < 0.05
assert (np.abs(dv1[:, 1] - ground_truth[:, 1]).sum() / len(dv1)) > 0.05
assert (np.abs(dv1[:, 2] - ground_truth[:, 2]).sum() / len(dv1)) < 0.05
def test_dvars(tmpdir):
ground_truth = np.loadtxt(example_data('ds003_sub-01_mc.DVARS'))
dvars = ComputeDVARS(in_file=example_data('ds003_sub-01_mc.nii.gz'),
in_mask=example_data('ds003_sub-01_mc_brainmask.nii.gz'),
save_all=True)
os.chdir(str(tmpdir))
res = dvars.run()
dv1 = np.loadtxt(res.outputs.out_std)
assert (np.abs(dv1 - ground_truth).sum()/ len(dv1)) < 0.05
def test_dvars(tmpdir):
ground_truth = np.loadtxt(example_data('ds003_sub-01_mc.DVARS'))
dvars = ComputeDVARS(
in_file=example_data('ds003_sub-01_mc.nii.gz'),
in_mask=example_data('ds003_sub-01_mc_brainmask.nii.gz'),
save_all=True)
os.chdir(str(tmpdir))
res = dvars.run()
dv1 = np.loadtxt(res.outputs.out_std)
assert (np.abs(dv1 - ground_truth).sum() / len(dv1)) < 0.05
def test_dvars():
tempdir = mkdtemp()
ground_truth = np.loadtxt(example_data('ds003_sub-01_mc.DVARS'))
dvars = ComputeDVARS(in_file=example_data('ds003_sub-01_mc.nii.gz'),
in_mask=example_data('ds003_sub-01_mc_brainmask.nii.gz'),
save_all=True)
origdir = os.getcwd()
os.chdir(tempdir)
res = dvars.run()
dv1 = np.loadtxt(res.outputs.out_std)
yield assert_equal, (np.abs(dv1 - ground_truth).sum()/ len(dv1)) < 0.05, True
os.chdir(origdir)
rmtree(tempdir)
