def test_ApplyTransformsToPoints_inputs():
input_map = dict(args=dict(argstr='%s',
),
dimension=dict(argstr='--dimensionality %d',
),
environ=dict(nohash=True,
usedefault=True,
),
ignore_exception=dict(nohash=True,
usedefault=True,
),
input_file=dict(argstr='--input %s',
mandatory=True,
),
invert_transform_flags=dict(),
num_threads=dict(nohash=True,
usedefault=True,
),
output_file=dict(argstr='--output %s',
hash_files=False,
name_source=['input_file'],
name_template='%s_transformed.csv',
),
terminal_output=dict(mandatory=True,
nohash=True,
),
transforms=dict(argstr='%s',
mandatory=True,
),
)
inputs = ApplyTransformsToPoints.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_ApplyTransformsToPoints_inputs():
input_map = dict(
args=dict(argstr='%s', ),
dimension=dict(argstr='--dimensionality %d', ),
environ=dict(
nohash=True,
usedefault=True,
),
ignore_exception=dict(
nohash=True,
usedefault=True,
),
input_file=dict(
argstr='--input %s',
mandatory=True,
),
invert_transform_flags=dict(),
num_threads=dict(
nohash=True,
usedefault=True,
),
output_file=dict(
argstr='--output %s',
hash_files=False,
name_source=['input_file'],
name_template='%s_transformed.csv',
),
terminal_output=dict(
mandatory=True,
nohash=True,
),
transforms=dict(
argstr='%s',
mandatory=True,
),
)
inputs = ApplyTransformsToPoints.input_spec()
for key, metadata in input_map.items():
for metakey, value in metadata.items():
yield assert_equal, getattr(inputs.traits()[key], metakey), value
