def test_unit_conversion(self):
import mantid.simpleapi as mantid
eventWS = mantid.CloneWorkspace(self.base_event_ws)
ws = mantid.Rebin(eventWS, 10000, PreserveEvents=False)
tmp = mantidcompat.convert_Workspace2D_to_dataarray(ws)
target_tof = tmp.coords[sc.Dim.Tof]
ws = mantid.ConvertUnits(InputWorkspace=ws,
Target="Wavelength",
EMode="Elastic")
converted_mantid = mantidcompat.convert_Workspace2D_to_dataarray(ws)
da = mantidcompat.convertEventWorkspace_to_dataarray(
eventWS, False)
da = sc.histogram(da, target_tof)
d = sc.Dataset(da)
converted = sc.neutron.convert(d, sc.Dim.Tof, sc.Dim.Wavelength)
self.assertTrue(
np.all(np.isclose(converted_mantid.values, converted[""].values)))
self.assertTrue(
np.all(
np.isclose(
converted_mantid.coords[sc.Dim.Wavelength].values,
converted.coords[sc.Dim.Wavelength].values,
)))
def test_Workspace2D_not_common_bins_masks(self):
import mantid.simpleapi as mantid
eventWS = mantid.CloneWorkspace(self.base_event_ws)
ws = mantid.Rebin(eventWS, 10000, PreserveEvents=False)
ws = mantid.ConvertUnits(ws,
"Wavelength",
EMode="Direct",
EFixed=0.1231)
# these X values will mask different number of bins
masked_ws = self._mask_bins_and_spectra(ws, -214, -192, num_spectra=3)
self.assertFalse(masked_ws.isCommonBins())
ds = mantidcompat.convert_Workspace2D_to_data_array(masked_ws)
# bin with 3 masks
np.testing.assert_array_equal(ds.masks["bin"].values[0],
[True, True, False, False, False])
# bin with only 2
np.testing.assert_array_equal(ds.masks["bin"].values[31],
[True, True, True, False, False])
np.testing.assert_array_equal(ds.masks["spectrum"].values[0:3],
[True, True, True])
def test_unit_conversion(self):
import mantid.simpleapi as mantid
eventWS = mantid.CloneWorkspace(self.base_event_ws)
ws = mantid.Rebin(eventWS, 10000, PreserveEvents=False)
tmp = mantidcompat.convert_Workspace2D_to_data_array(ws)
target_tof = tmp.coords['tof']
ws = mantid.ConvertUnits(InputWorkspace=ws,
Target="Wavelength",
EMode="Elastic")
converted_mantid = mantidcompat.convert_Workspace2D_to_data_array(ws)
da = mantidcompat.convert_EventWorkspace_to_data_array(
eventWS, load_pulse_times=False)
da.realign({'tof': target_tof})
da = sc.histogram(da)
d = sc.Dataset(da)
converted = sc.neutron.convert(d, 'tof', 'wavelength')
self.assertTrue(
np.all(np.isclose(converted_mantid.values, converted[""].values)))
self.assertTrue(
np.all(
np.isclose(
converted_mantid.coords['wavelength'].values,
converted.coords['wavelength'].values,
)))
def test_Workspace2D(self):
import mantid.simpleapi as mantid
eventWS = mantid.CloneWorkspace(self.base_event_ws)
ws = mantid.Rebin(eventWS, 10000, PreserveEvents=False)
d = mantidcompat.convert_Workspace2D_to_data_array(ws)
self.assertEqual(
d.attrs["run"].value.getProperty("run_start").value,
"2012-05-21T15:14:56.279289666",
)
def test_EventWorkspace(self):
import mantid.simpleapi as mantid
eventWS = mantid.CloneWorkspace(self.base_event_ws)
ws = mantid.Rebin(eventWS, 10000)
binned_mantid = mantidcompat.convert_Workspace2D_to_data_array(ws)
target_tof = binned_mantid.coords[sc.Dim.Tof]
d = mantidcompat.convert_EventWorkspace_to_data_array(eventWS, False)
binned = sc.histogram(d, target_tof)
delta = sc.sum(binned_mantid - binned, sc.Dim.Spectrum)
delta = sc.sum(delta, sc.Dim.Tof)
self.assertLess(np.abs(delta.value), 1e-5)
def test_EventWorkspace(self):
import mantid.simpleapi as mantid
eventWS = mantid.CloneWorkspace(self.base_event_ws)
ws = mantid.Rebin(eventWS, 10000)
binned_mantid = mantidcompat.convert_Workspace2D_to_data_array(ws)
target_tof = binned_mantid.coords['tof']
d = mantidcompat.convert_EventWorkspace_to_data_array(
eventWS, load_pulse_times=False)
binned = sc.histogram(d.bins, target_tof)
delta = sc.sum(binned_mantid - binned, 'spectrum')
delta = sc.sum(delta, 'tof')
self.assertLess(np.abs(delta.value), 1e-5)
def test_Workspace2D(self):
import mantid.simpleapi as mantid
eventWS = mantid.CloneWorkspace(self.base_event_ws)
ws = mantid.Rebin(eventWS, 10000, PreserveEvents=False)
d = mantidcompat.convert_Workspace2D_to_data_array(ws)
self.assertEqual(
d.attrs["run_start"].value,
"2012-05-21T15:14:56.279289666",
)
self.assertEqual(d.data.unit, sc.units.counts)
for i in range(ws.getNumberHistograms()):
assert np.all(np.equal(d.values[i], ws.readY(i)))
assert np.all(np.equal(d.variances[i], ws.readE(i) * ws.readE(i)))
self.assertEqual(d.coords['spectrum'].dtype, sc.dtype.int32)
self.assertEqual(d.coords['tof'].dtype, sc.dtype.float64)
def test_Workspace2D_common_bins_masks(self):
import mantid.simpleapi as mantid
eventWS = mantid.CloneWorkspace(self.base_event_ws)
ws = mantid.Rebin(eventWS, 10000, PreserveEvents=False)
ws_x = ws.readX(0)
# mask the first 3 bins, range is taken as [XMin, XMax)
masked_ws = self._mask_bins_and_spectra(ws,
xmin=ws_x[0],
xmax=ws_x[3],
num_spectra=3)
self.assertTrue(masked_ws.isCommonBins())
ds = mantidcompat.convert_Workspace2D_to_data_array(masked_ws)
np.testing.assert_array_equal(ds.masks["bin"].values[0:3],
[True, True, True])
np.testing.assert_array_equal(ds.masks["spectrum"].values[0:3],
[True, True, True])
def test_Workspace2D_common_bins_not_common_masks(self):
import mantid.simpleapi as mantid
eventWS = mantid.CloneWorkspace(self.base_event_ws)
ws = mantid.Rebin(eventWS, 10000, PreserveEvents=False)
ws_x = ws.readX(0)
# mask first 3 bins in first 3 spectra, range is taken as [XMin, XMax)
masked_ws = self._mask_bins_and_spectra(ws,
xmin=ws_x[0],
xmax=ws_x[3],
num_spectra=3,
indices='0-2')
self.assertTrue(masked_ws.isCommonBins())
ds = mantidcompat.convert_Workspace2D_to_data_array(masked_ws)
mask = sc.Variable(dims=ds.dims, shape=ds.shape, dtype=sc.dtype.bool)
mask['spectrum', 0:3]['tof', 0:3] |= sc.Variable(value=True)
assert sc.is_equal(ds.masks['bin'], mask)
np.testing.assert_array_equal(ds.masks["spectrum"].values[0:3],
[True, True, True])
