def test_ProbTrackX2_outputs():
output_map = dict(fdt_paths=dict(),
log=dict(),
lookup_tractspace=dict(),
matrix1_dot=dict(),
matrix2_dot=dict(),
matrix3_dot=dict(),
network_matrix=dict(),
particle_files=dict(),
targets=dict(),
way_total=dict(),
)
outputs = ProbTrackX2.output_spec()
for key, metadata in output_map.items():
for metakey, value in metadata.items():
yield assert_equal, getattr(outputs.traits()[key], metakey), value
def test_ProbTrackX2_outputs():
output_map = dict(
fdt_paths=dict(),
log=dict(),
lookup_tractspace=dict(),
matrix1_dot=dict(),
matrix2_dot=dict(),
matrix3_dot=dict(),
network_matrix=dict(),
particle_files=dict(),
targets=dict(),
way_total=dict(),
)
outputs = ProbTrackX2.output_spec()
for key, metadata in output_map.items():
for metakey, value in metadata.items():
yield assert_equal, getattr(outputs.traits()[key], metakey), value
def test_ProbTrackX2_inputs():
input_map = dict(args=dict(argstr='%s',
),
avoid_mp=dict(argstr='--avoid=%s',
),
c_thresh=dict(argstr='--cthr=%.3f',
),
colmask4=dict(argstr='--colmask4=%s',
),
correct_path_distribution=dict(argstr='--pd',
),
dist_thresh=dict(argstr='--distthresh=%.3f',
),
distthresh1=dict(argstr='--distthresh1=%.3f',
),
distthresh3=dict(argstr='--distthresh3=%.3f',
),
environ=dict(nohash=True,
usedefault=True,
),
fibst=dict(argstr='--fibst=%d',
),
fopd=dict(argstr='--fopd=%s',
),
force_dir=dict(argstr='--forcedir',
usedefault=True,
),
fsamples=dict(mandatory=True,
),
ignore_exception=dict(nohash=True,
usedefault=True,
),
inv_xfm=dict(argstr='--invxfm=%s',
),
loop_check=dict(argstr='--loopcheck',
),
lrtarget3=dict(argstr='--lrtarget3=%s',
),
mask=dict(argstr='-m %s',
mandatory=True,
),
meshspace=dict(argstr='--meshspace=%s',
),
mod_euler=dict(argstr='--modeuler',
),
n_samples=dict(argstr='--nsamples=%d',
usedefault=True,
),
n_steps=dict(argstr='--nsteps=%d',
),
network=dict(argstr='--network',
),
omatrix1=dict(argstr='--omatrix1',
),
omatrix2=dict(argstr='--omatrix2',
requires=['target2'],
),
omatrix3=dict(argstr='--omatrix3',
requires=['target3', 'lrtarget3'],
),
omatrix4=dict(argstr='--omatrix4',
),
onewaycondition=dict(argstr='--onewaycondition',
),
opd=dict(argstr='--opd',
usedefault=True,
),
os2t=dict(argstr='--os2t',
),
out_dir=dict(argstr='--dir=%s',
genfile=True,
),
output_type=dict(),
phsamples=dict(mandatory=True,
),
rand_fib=dict(argstr='--randfib=%d',
),
random_seed=dict(argstr='--rseed',
),
s2tastext=dict(argstr='--s2tastext',
),
sample_random_points=dict(argstr='--sampvox',
),
samples_base_name=dict(argstr='--samples=%s',
usedefault=True,
),
seed=dict(argstr='--seed=%s',
mandatory=True,
),
seed_ref=dict(argstr='--seedref=%s',
),
simple=dict(argstr='--simple',
usedefault=False,
),
step_length=dict(argstr='--steplength=%.3f',
),
stop_mask=dict(argstr='--stop=%s',
),
target2=dict(argstr='--target2=%s',
),
target3=dict(argstr='--target3=%s',
),
target4=dict(argstr='--target4=%s',
),
target_masks=dict(argstr='--targetmasks=%s',
),
terminal_output=dict(mandatory=True,
nohash=True,
),
thsamples=dict(mandatory=True,
),
use_anisotropy=dict(argstr='--usef',
),
verbose=dict(argstr='--verbose=%d',
),
waycond=dict(argstr='--waycond=%s',
),
wayorder=dict(argstr='--wayorder',
),
waypoints=dict(argstr='--waypoints=%s',
),
xfm=dict(argstr='--xfm=%s',
),
)
inputs = ProbTrackX2.input_spec()
for key, metadata in input_map.items():
for metakey, value in metadata.items():
yield assert_equal, getattr(inputs.traits()[key], metakey), value
def test_ProbTrackX2_inputs():
input_map = dict(
args=dict(argstr='%s', ),
avoid_mp=dict(argstr='--avoid=%s', ),
c_thresh=dict(argstr='--cthr=%.3f', ),
colmask4=dict(argstr='--colmask4=%s', ),
correct_path_distribution=dict(argstr='--pd', ),
dist_thresh=dict(argstr='--distthresh=%.3f', ),
distthresh1=dict(argstr='--distthresh1=%.3f', ),
distthresh3=dict(argstr='--distthresh3=%.3f', ),
environ=dict(
nohash=True,
usedefault=True,
),
fibst=dict(argstr='--fibst=%d', ),
fopd=dict(argstr='--fopd=%s', ),
force_dir=dict(
argstr='--forcedir',
usedefault=True,
),
fsamples=dict(mandatory=True, ),
ignore_exception=dict(
nohash=True,
usedefault=True,
),
inv_xfm=dict(argstr='--invxfm=%s', ),
loop_check=dict(argstr='--loopcheck', ),
lrtarget3=dict(argstr='--lrtarget3=%s', ),
mask=dict(
argstr='-m %s',
mandatory=True,
),
meshspace=dict(argstr='--meshspace=%s', ),
mod_euler=dict(argstr='--modeuler', ),
n_samples=dict(
argstr='--nsamples=%d',
usedefault=True,
),
n_steps=dict(argstr='--nsteps=%d', ),
network=dict(argstr='--network', ),
omatrix1=dict(argstr='--omatrix1', ),
omatrix2=dict(
argstr='--omatrix2',
requires=['target2'],
),
omatrix3=dict(
argstr='--omatrix3',
requires=['target3', 'lrtarget3'],
),
omatrix4=dict(argstr='--omatrix4', ),
onewaycondition=dict(argstr='--onewaycondition', ),
opd=dict(
argstr='--opd',
usedefault=True,
),
os2t=dict(argstr='--os2t', ),
out_dir=dict(
argstr='--dir=%s',
genfile=True,
),
output_type=dict(),
phsamples=dict(mandatory=True, ),
rand_fib=dict(argstr='--randfib=%d', ),
random_seed=dict(argstr='--rseed', ),
s2tastext=dict(argstr='--s2tastext', ),
sample_random_points=dict(argstr='--sampvox', ),
samples_base_name=dict(
argstr='--samples=%s',
usedefault=True,
),
seed=dict(
argstr='--seed=%s',
mandatory=True,
),
seed_ref=dict(argstr='--seedref=%s', ),
simple=dict(
argstr='--simple',
usedefault=False,
),
step_length=dict(argstr='--steplength=%.3f', ),
stop_mask=dict(argstr='--stop=%s', ),
target2=dict(argstr='--target2=%s', ),
target3=dict(argstr='--target3=%s', ),
target4=dict(argstr='--target4=%s', ),
target_masks=dict(argstr='--targetmasks=%s', ),
terminal_output=dict(nohash=True, ),
thsamples=dict(mandatory=True, ),
use_anisotropy=dict(argstr='--usef', ),
verbose=dict(argstr='--verbose=%d', ),
waycond=dict(argstr='--waycond=%s', ),
wayorder=dict(argstr='--wayorder', ),
waypoints=dict(argstr='--waypoints=%s', ),
xfm=dict(argstr='--xfm=%s', ),
)
inputs = ProbTrackX2.input_spec()
for key, metadata in input_map.items():
for metakey, value in metadata.items():
yield assert_equal, getattr(inputs.traits()[key], metakey), value
