def test_PlotTimeSeries_outputs():
output_map = dict(out_file=dict(), )
outputs = PlotTimeSeries.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_PlotTimeSeries_inputs():
input_map = dict(ignore_exception=dict(nohash=True,
usedefault=True,
),
plot_size=dict(argstr='%s',
),
labels=dict(argstr='%s',
),
y_min=dict(xor=('y_range',),
argstr='--ymin=%.2f',
),
title=dict(argstr='%s',
),
args=dict(argstr='%s',
),
sci_notation=dict(argstr='--sci',
),
plot_range=dict(xor=('plot_start', 'plot_finish'),
argstr='%s',
),
plot_start=dict(xor=('plot_range',),
argstr='--start=%d',
),
legend_file=dict(argstr='--legend=%s',
),
in_file=dict(position=1,
mandatory=True,
argstr='%s',
),
terminal_output=dict(mandatory=True,
nohash=True,
),
environ=dict(nohash=True,
usedefault=True,
),
x_units=dict(argstr='-u %d',
usedefault=True,
),
x_precision=dict(argstr='--precision=%d',
),
y_max=dict(xor=('y_range',),
argstr='--ymax=%.2f',
),
output_type=dict(),
y_range=dict(xor=('y_min', 'y_max'),
argstr='%s',
),
plot_finish=dict(xor=('plot_range',),
argstr='--finish=%d',
),
out_file=dict(argstr='-o %s',
hash_files=False,
genfile=True,
),
)
inputs = PlotTimeSeries.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_PlotTimeSeries_outputs():
output_map = dict(out_file=dict(),
)
outputs = PlotTimeSeries.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_PlotTimeSeries_inputs():
input_map = dict(
args=dict(argstr='%s', ),
environ=dict(
nohash=True,
usedefault=True,
),
ignore_exception=dict(
nohash=True,
usedefault=True,
),
in_file=dict(
argstr='%s',
mandatory=True,
position=1,
),
labels=dict(argstr='%s', ),
legend_file=dict(argstr='--legend=%s', ),
out_file=dict(
argstr='-o %s',
genfile=True,
hash_files=False,
),
output_type=dict(),
plot_finish=dict(
argstr='--finish=%d',
xor=('plot_range', ),
),
plot_range=dict(
argstr='%s',
xor=('plot_start', 'plot_finish'),
),
plot_size=dict(argstr='%s', ),
plot_start=dict(
argstr='--start=%d',
xor=('plot_range', ),
),
sci_notation=dict(argstr='--sci', ),
terminal_output=dict(
mandatory=True,
nohash=True,
),
title=dict(argstr='%s', ),
x_precision=dict(argstr='--precision=%d', ),
x_units=dict(
argstr='-u %d',
usedefault=True,
),
y_max=dict(
argstr='--ymax=%.2f',
xor=('y_range', ),
),
y_min=dict(
argstr='--ymin=%.2f',
xor=('y_range', ),
),
y_range=dict(
argstr='%s',
xor=('y_min', 'y_max'),
),
)
inputs = PlotTimeSeries.input_spec()
for key, metadata in input_map.items():
for metakey, value in metadata.items():
yield assert_equal, getattr(inputs.traits()[key], metakey), value
