def test_convertParametersToWorkspace(self):
ws = self.make_dummy_QENS_workspace()
#make a parameter table to search in
function = "name=LinearBackground, A0=0, A1=0;"
function += "name=Gaussian, Sigma=0.1, PeakCentre=0, Height=10;"
table_ws = PlotPeakByLogValue(Input=ws + ",v0:10", Function=function)
param_names = ['A0', 'Sigma', 'PeakCentre']
indirect_common.convertParametersToWorkspace(table_ws.name(), 'axis-1', param_names, "params_workspace")
params_workspace = mtd["params_workspace"]
self.assert_matrix_workspace_dimensions(params_workspace.name(),
expected_num_histograms=3, expected_blocksize=5)
def test_convertParametersToWorkspace(self):
ws = self.make_dummy_QENS_workspace()
#make a parameter table to search in
function = "name=LinearBackground, A0=0, A1=0;"
function += "name=Gaussian, Sigma=0.1, PeakCentre=0, Height=10;"
table_ws = PlotPeakByLogValue(Input=ws + ",v0:10", Function=function)
param_names = ['A0', 'Sigma', 'PeakCentre']
indirect_common.convertParametersToWorkspace(table_ws.name(), 'axis-1',
param_names,
"params_workspace")
params_workspace = mtd["params_workspace"]
self.assert_matrix_workspace_dimensions(params_workspace.name(),
expected_num_histograms=3,
expected_blocksize=5)
