def test_ProbTrackX_outputs():
output_map = dict(targets=dict(),
fdt_paths=dict(),
particle_files=dict(),
log=dict(),
way_total=dict(),
)
outputs = ProbTrackX.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_ProbTrackX_outputs():
output_map = dict(fdt_paths=dict(),
log=dict(),
particle_files=dict(),
targets=dict(),
way_total=dict(),
)
outputs = ProbTrackX.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_ProbTrackX_inputs():
input_map = dict(rand_fib=dict(argstr='--randfib=%d',
),
verbose=dict(argstr='--verbose=%d',
),
out_dir=dict(argstr='--dir=%s',
genfile=True,
),
waypoints=dict(argstr='--waypoints=%s',
),
mask2=dict(argstr='--mask2=%s',
),
phsamples=dict(mandatory=True,
),
seed=dict(mandatory=True,
argstr='--seed=%s',
),
n_steps=dict(argstr='--nsteps=%d',
),
seed_ref=dict(argstr='--seedref=%s',
),
dist_thresh=dict(argstr='--distthresh=%.3f',
),
use_anisotropy=dict(argstr='--usef',
),
network=dict(argstr='--network',
),
sample_random_points=dict(argstr='--sampvox',
),
os2t=dict(argstr='--os2t',
),
avoid_mp=dict(argstr='--avoid=%s',
),
target_masks=dict(argstr='--targetmasks=%s',
),
step_length=dict(argstr='--steplength=%.3f',
),
n_samples=dict(argstr='--nsamples=%d',
usedefault=True,
),
environ=dict(nohash=True,
usedefault=True,
),
thsamples=dict(mandatory=True,
),
s2tastext=dict(argstr='--s2tastext',
),
ignore_exception=dict(nohash=True,
usedefault=True,
),
xfm=dict(argstr='--xfm=%s',
),
samples_base_name=dict(usedefault=True,
argstr='--samples=%s',
),
args=dict(argstr='%s',
),
inv_xfm=dict(argstr='--invxfm=%s',
),
force_dir=dict(usedefault=True,
argstr='--forcedir',
),
mesh=dict(argstr='--mesh=%s',
),
stop_mask=dict(argstr='--stop=%s',
),
fibst=dict(argstr='--fibst=%d',
),
random_seed=dict(argstr='--rseed',
),
opd=dict(usedefault=True,
argstr='--opd',
),
mod_euler=dict(argstr='--modeuler',
),
mask=dict(mandatory=True,
argstr='-m %s',
),
loop_check=dict(argstr='--loopcheck',
),
c_thresh=dict(argstr='--cthr=%.3f',
),
fsamples=dict(mandatory=True,
),
correct_path_distribution=dict(argstr='--pd',
),
mode=dict(argstr='--mode=%s',
genfile=True,
),
output_type=dict(),
terminal_output=dict(mandatory=True,
nohash=True,
),
)
inputs = ProbTrackX.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_ProbTrackX_inputs():
input_map = dict(args=dict(argstr='%s',
),
avoid_mp=dict(argstr='--avoid=%s',
),
c_thresh=dict(argstr='--cthr=%.3f',
),
correct_path_distribution=dict(argstr='--pd',
),
dist_thresh=dict(argstr='--distthresh=%.3f',
),
environ=dict(nohash=True,
usedefault=True,
),
fibst=dict(argstr='--fibst=%d',
),
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',
),
mask=dict(argstr='-m %s',
mandatory=True,
),
mask2=dict(argstr='--mask2=%s',
),
mesh=dict(argstr='--mesh=%s',
),
mod_euler=dict(argstr='--modeuler',
),
mode=dict(argstr='--mode=%s',
genfile=True,
),
n_samples=dict(argstr='--nsamples=%d',
usedefault=True,
),
n_steps=dict(argstr='--nsteps=%d',
),
network=dict(argstr='--network',
),
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',
),
step_length=dict(argstr='--steplength=%.3f',
),
stop_mask=dict(argstr='--stop=%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',
),
waypoints=dict(argstr='--waypoints=%s',
),
xfm=dict(argstr='--xfm=%s',
),
)
inputs = ProbTrackX.input_spec()
for key, metadata in input_map.items():
for metakey, value in metadata.items():
yield assert_equal, getattr(inputs.traits()[key], metakey), value
