def test_model_MDE_basis_vectors_not_normalised_when_HKL(self, mock_binmd):
ws = _create_mock_mdeventworkspace(ndims=3,
coords=SpecialCoordinateSystem.HKL,
extents=(-3, 3, -4, 4, -5, 5),
names=('h', 'k', 'l'),
units=('r.l.u.', 'r.l.u.',
'r.l.u.'),
isq=(True, True, True))
model = SliceViewerModel(ws)
mock_binmd.return_value = self.ws_MD_3D # different workspace
self.assertNotEqual(model.get_ws((None, None, 0), (1, 2, 4)), ws)
mock_binmd.assert_called_once_with(
AxisAligned=False,
NormalizeBasisVectors=False,
BasisVector0='h,r.l.u.,1.0,0.0,0.0',
BasisVector1='k,r.l.u.,0.0,1.0,0.0',
BasisVector2='l,r.l.u.,0.0,0.0,1.0',
EnableLogging=False,
InputWorkspace=ws,
OutputBins=[1, 2, 1],
OutputExtents=[-3, 3, -4, 4, -2.0, 2.0],
OutputWorkspace=ws.name() + '_svrebinned')
mock_binmd.reset_mock()
def test_get_ws_mde_sets_minimum_width_on_data_limits(self, mock_binmd):
model = SliceViewerModel(self.ws_MDE_3D)
mock_binmd.return_value = self.ws_MD_3D
xmin = -5e-8
xmax = 5e-8
self.assertNotEqual(
model.get_ws((None, None, 0), (1, 2, 4), ((xmin, xmax), (-1, 1)),
[0, 1, None]), self.ws_MDE_3D)
call_params = dict(
AxisAligned=False,
BasisVector0='h,rlu,1.0,0.0,0.0',
BasisVector1='k,rlu,0.0,1.0,0.0',
BasisVector2='l,rlu,0.0,0.0,1.0',
EnableLogging=False,
InputWorkspace=self.ws_MDE_3D,
OutputBins=[1, 2, 1],
OutputExtents=[xmin, xmin + MIN_WIDTH, -1, 1, -2.0, 2.0],
OutputWorkspace='ws_MDE_3D_svrebinned')
mock_binmd.assert_called_once_with(**call_params)
mock_binmd.reset_mock()
def test_get_ws_MDE_with_limits_uses_limits_over_dimension_extents(
self, mock_binmd):
model = SliceViewerModel(self.ws_MDE_3D)
mock_binmd.return_value = self.ws_MD_3D
self.assertNotEqual(
model.get_ws((None, None, 0), (1, 2, 4), ((-2, 2), (-1, 1)),
[0, 1, None]), self.ws_MDE_3D)
call_params = dict(AxisAligned=False,
BasisVector0='h,rlu,1.0,0.0,0.0',
BasisVector1='k,rlu,0.0,1.0,0.0',
BasisVector2='l,rlu,0.0,0.0,1.0',
EnableLogging=False,
InputWorkspace=self.ws_MDE_3D,
OutputBins=[1, 2, 1],
OutputExtents=[-2, 2, -1, 1, -2.0, 2.0],
OutputWorkspace='ws_MDE_3D_svrebinned')
mock_binmd.assert_called_once_with(**call_params)
mock_binmd.reset_mock()
model.get_data((None, None, 0), (1, 2, 4), [0, 1, None],
((-2, 2), (-1, 1)))
mock_binmd.assert_called_once_with(**call_params)
