def test_TCorr1D_outputs():
output_map = dict(out_file=dict(), )
outputs = TCorr1D.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_TCorr1D_inputs():
input_map = dict(
args=dict(argstr='%s', ),
environ=dict(
nohash=True,
usedefault=True,
),
ignore_exception=dict(
nohash=True,
usedefault=True,
),
ktaub=dict(
argstr=' -ktaub',
position=1,
xor=['pearson', 'spearman', 'quadrant'],
),
out_file=dict(
argstr='-prefix %s',
keep_extension=True,
name_source='xset',
name_template='%s_correlation.nii.gz',
),
outputtype=dict(),
pearson=dict(
argstr=' -pearson',
position=1,
xor=['spearman', 'quadrant', 'ktaub'],
),
quadrant=dict(
argstr=' -quadrant',
position=1,
xor=['pearson', 'spearman', 'ktaub'],
),
spearman=dict(
argstr=' -spearman',
position=1,
xor=['pearson', 'quadrant', 'ktaub'],
),
terminal_output=dict(
mandatory=True,
nohash=True,
),
xset=dict(
argstr=' %s',
copyfile=False,
mandatory=True,
position=-2,
),
y_1d=dict(
argstr=' %s',
mandatory=True,
position=-1,
),
)
inputs = TCorr1D.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_TCorr1D_outputs():
output_map = dict(out_file=dict(),
)
outputs = TCorr1D.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_TCorr1D_inputs():
input_map = dict(args=dict(argstr='%s',
),
environ=dict(nohash=True,
usedefault=True,
),
ignore_exception=dict(nohash=True,
usedefault=True,
),
ktaub=dict(argstr=' -ktaub',
position=1,
xor=['pearson', 'spearman', 'quadrant'],
),
out_file=dict(argstr='-prefix %s',
keep_extension=True,
name_source='xset',
name_template='%s_correlation.nii.gz',
),
outputtype=dict(),
pearson=dict(argstr=' -pearson',
position=1,
xor=['spearman', 'quadrant', 'ktaub'],
),
quadrant=dict(argstr=' -quadrant',
position=1,
xor=['pearson', 'spearman', 'ktaub'],
),
spearman=dict(argstr=' -spearman',
position=1,
xor=['pearson', 'quadrant', 'ktaub'],
),
terminal_output=dict(mandatory=True,
nohash=True,
),
xset=dict(argstr=' %s',
copyfile=False,
mandatory=True,
position=-2,
),
y_1d=dict(argstr=' %s',
mandatory=True,
position=-1,
),
)
inputs = TCorr1D.input_spec()
for key, metadata in input_map.items():
for metakey, value in metadata.items():
yield assert_equal, getattr(inputs.traits()[key], metakey), value
