def _scale(self, state, workspace):
instrument = state.data.instrument
output_ws = scale_workspace(workspace=workspace,
instrument=instrument,
state_scale=state.scale)
return output_ws
def _scale(self, state, ws_list: WsList):
instrument = state.data.instrument
for key, ws in ws_list.items():
output_ws = scale_workspace(instrument=instrument,
state_scale=state.scale,
workspace=ws)
ws_list[key] = output_ws
return ws_list
def test_that_scales_the_workspace_correctly(self):
workspace = self._get_workspace()
width = 1.0
height = 2.0
scale = 7.2
state = self._get_sample_state(width=width,
height=height,
thickness=3.0,
scale=scale,
shape=SampleShape.CYLINDER)
output_workspace = scale_workspace(workspace=workspace,
instrument=SANSInstrument.LOQ,
state_scale=state.scale)
# We have a LOQ data set, hence we need to divide by pi
expected_value = 0.3 / (height * math.pi * math.pow(width, 2) /
4.0) * (scale / math.pi) * 100.
data_y = output_workspace.dataY(0)
tolerance = 1e-7
self.assertTrue(abs(data_y[0] - expected_value) < tolerance)