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