def test_Tensor2Vector_outputs():
output_map = dict(vector=dict(), )
outputs = Tensor2Vector.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_Tensor2Vector_inputs():
input_map = dict(out_filename=dict(position=-1,
genfile=True,
argstr='%s',
),
ignore_exception=dict(nohash=True,
usedefault=True,
),
args=dict(argstr='%s',
),
quiet=dict(position=1,
argstr='-quiet',
),
terminal_output=dict(mandatory=True,
nohash=True,
),
environ=dict(nohash=True,
usedefault=True,
),
in_file=dict(position=-2,
mandatory=True,
argstr='%s',
),
debug=dict(position=1,
argstr='-debug',
),
)
inputs = Tensor2Vector.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_Tensor2Vector_outputs():
output_map = dict(vector=dict(),
)
outputs = Tensor2Vector.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_Tensor2Vector_inputs():
input_map = dict(
args=dict(argstr='%s', ),
debug=dict(
argstr='-debug',
position=1,
),
environ=dict(
nohash=True,
usedefault=True,
),
ignore_exception=dict(
nohash=True,
usedefault=True,
),
in_file=dict(
argstr='%s',
mandatory=True,
position=-2,
),
out_filename=dict(
argstr='%s',
genfile=True,
position=-1,
),
quiet=dict(
argstr='-quiet',
position=1,
),
terminal_output=dict(
mandatory=True,
nohash=True,
),
)
inputs = Tensor2Vector.input_spec()
for key, metadata in input_map.items():
for metakey, value in metadata.items():
yield assert_equal, getattr(inputs.traits()[key], metakey), value