def test_MotionOutliers_outputs():
output_map = dict(out_file=dict(),
out_metric_plot=dict(),
out_metric_values=dict(),
)
outputs = MotionOutliers.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_MotionOutliers_outputs():
output_map = dict(
out_file=dict(),
out_metric_plot=dict(),
out_metric_values=dict(),
)
outputs = MotionOutliers.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_MotionOutliers_inputs():
input_map = dict(
args=dict(argstr='%s', ),
dummy=dict(argstr='--dummy=%d', ),
environ=dict(
nohash=True,
usedefault=True,
),
ignore_exception=dict(
nohash=True,
usedefault=True,
),
in_file=dict(
argstr='-i %s',
mandatory=True,
),
mask=dict(argstr='-m %s', ),
metric=dict(argstr='--%s', ),
no_motion_correction=dict(argstr='--nomoco', ),
out_file=dict(
argstr='-o %s',
hash_files=False,
keep_extension=True,
name_source='in_file',
name_template='%s_outliers.txt',
),
out_metric_plot=dict(
argstr='-p %s',
hash_files=False,
keep_extension=True,
name_source='in_file',
name_template='%s_metrics.png',
),
out_metric_values=dict(
argstr='-s %s',
hash_files=False,
keep_extension=True,
name_source='in_file',
name_template='%s_metrics.txt',
),
output_type=dict(),
terminal_output=dict(nohash=True, ),
threshold=dict(argstr='--thresh=%g', ),
)
inputs = MotionOutliers.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_MotionOutliers_inputs():
input_map = dict(args=dict(argstr='%s',
),
dummy=dict(argstr='--dummy=%d',
),
environ=dict(nohash=True,
usedefault=True,
),
ignore_exception=dict(nohash=True,
usedefault=True,
),
in_file=dict(argstr='-i %s',
mandatory=True,
),
mask=dict(argstr='-m %s',
),
metric=dict(argstr='--%s',
),
no_motion_correction=dict(argstr='--nomoco',
),
out_file=dict(argstr='-o %s',
hash_files=False,
keep_extension=True,
name_source='in_file',
name_template='%s_outliers.txt',
),
out_metric_plot=dict(argstr='-p %s',
hash_files=False,
keep_extension=True,
name_source='in_file',
name_template='%s_metrics.png',
),
out_metric_values=dict(argstr='-s %s',
hash_files=False,
keep_extension=True,
name_source='in_file',
name_template='%s_metrics.txt',
),
output_type=dict(),
terminal_output=dict(nohash=True,
),
threshold=dict(argstr='--thresh=%g',
),
)
inputs = MotionOutliers.input_spec()
for key, metadata in input_map.items():
for metakey, value in metadata.items():
yield assert_equal, getattr(inputs.traits()[key], metakey), value