def correct(self, workspaces, parent_alg):
"""
For LOQ we want to apply a different instrument definition for the transmission runs.
:param workspaces: a dictionary of data types, e.g. SampleScatter vs. a workspace
:param parent_alg: a handle to the parent algorithm
"""
# Get the transmission and the direct workspaces and apply the correction to them
workspace_which_require_transmission_correction = []
for data_type, _ in list(workspaces.items()):
if is_transmission_type(data_type):
workspace_which_require_transmission_correction.append(workspaces[data_type])
# We want to apply a different instrument for the transmission runs
for workspace in workspace_which_require_transmission_correction:
assert len(workspace) == 1
workspace = workspace[0]
instrument = workspace.getInstrument()
has_m4 = instrument.getComponentByName("monitor4")
if has_m4 is None:
trans_definition_file = os.path.join(config.getString('instrumentDefinition.directory'),
'LOQ_trans_Definition.xml')
else:
trans_definition_file = os.path.join(config.getString('instrumentDefinition.directory'),
'LOQ_trans_Definition_M4.xml')
# Done
instrument_name = "LoadInstrument"
instrument_options = {"Workspace": workspace,
"Filename": trans_definition_file,
"RewriteSpectraMap": False}
instrument_alg = create_child_algorithm(parent_alg, instrument_name, **instrument_options)
instrument_alg.execute()
def correct(self, workspaces, parent_alg):
"""
For LOQ we want to apply a different instrument definition for the transmission runs.
:param workspaces: a dictionary of data types, e.g. SampleScatter vs. a workspace
:param parent_alg: a handle to the parent algorithm
"""
# Get the transmission and the direct workspaces and apply the correction to them
workspace_which_require_transmission_correction = []
for data_type, _ in list(workspaces.items()):
if is_transmission_type(data_type):
workspace_which_require_transmission_correction.append(workspaces[data_type])
# We want to apply a different instrument for the transmission runs
for workspace in workspace_which_require_transmission_correction:
assert len(workspace) == 1
workspace = workspace[0]
instrument = workspace.getInstrument()
has_m4 = instrument.getComponentByName("monitor4")
if has_m4 is None:
trans_definition_file = os.path.join(config.getString('instrumentDefinition.directory'),
'LOQ_trans_Definition.xml')
else:
trans_definition_file = os.path.join(config.getString('instrumentDefinition.directory'),
'LOQ_trans_Definition_M4.xml')
# Done
instrument_name = "LoadInstrument"
instrument_options = {"Workspace": workspace,
"Filename": trans_definition_file,
"RewriteSpectraMap": False}
instrument_alg = create_child_algorithm(parent_alg, instrument_name, **instrument_options)
instrument_alg.execute()
def test_service_acts_like_dictionary(self):
dictcall = config.get("property_not_found")
self.assertEqual(dictcall, "")
test_prop = "projectRecovery.secondsBetween"
self.assertTrue(config.hasProperty(test_prop))
dictcall = config[test_prop]
fncall = config.getString(test_prop)
# Use brackets to retrieve a value
dictcall = config[test_prop]
self.assertEqual(dictcall, fncall)
self.assertNotEqual(config[test_prop], "")
# Use "get" to retrieve a value or a default
dictcall = config.get(test_prop, "other")
self.assertEqual(dictcall, fncall)
dictcall = config.get("property_not_found", "default_alternative")
self.assertEqual(dictcall, "default_alternative")
old_value = fncall
config.setString(test_prop, "1")
self.assertEqual(config.getString(test_prop), "1")
config[test_prop] = "2"
self.assertEqual(config.getString(test_prop), "2")
config.setString(test_prop, old_value)
def test_service_acts_like_dictionary(self):
test_prop = "algorithms.retained"
self.assertTrue(config.hasProperty(test_prop))
dictcall = config[test_prop]
fncall = config.getString(test_prop)
self.assertEquals(dictcall, fncall)
self.assertNotEqual(config[test_prop], "")
old_value = fncall
config.setString(test_prop, "1")
self.assertEquals(config.getString(test_prop), "1")
config[test_prop] = "2"
self.assertEquals(config.getString(test_prop), "2")
config.setString(test_prop, old_value)
def test_service_acts_like_dictionary(self):
test_prop = "projectRecovery.secondsBetween"
self.assertTrue(config.hasProperty(test_prop))
dictcall = config[test_prop]
fncall = config.getString(test_prop)
self.assertEqual(dictcall, fncall)
self.assertNotEqual(config[test_prop], "")
old_value = fncall
config.setString(test_prop, "1")
self.assertEqual(config.getString(test_prop), "1")
config[test_prop] = "2"
self.assertEqual(config.getString(test_prop), "2")
config.setString(test_prop, old_value)
def test_service_acts_like_dictionary(self):
test_prop = "algorithms.retained"
self.assertTrue(config.hasProperty(test_prop))
dictcall = config[test_prop]
fncall = config.getString(test_prop)
self.assertEquals(dictcall, fncall)
self.assertNotEqual(config[test_prop], "")
old_value = fncall
config.setString(test_prop, "1")
self.assertEquals(config.getString(test_prop), "1")
config[test_prop] = "2"
self.assertEquals(config.getString(test_prop), "2")
config.setString(test_prop, old_value)
def _load_empty_instrument(self):
"""Returns an empty workspace for the instrument.
Raises:
* ValueError if no instrument is selected.
* RuntimeError if there is a problem with the IDF.
"""
if self._instrument_name is None:
raise ValueError('No instrument selected.')
self._workspace_instrument = '__empty_' + self._instrument_name
if not mtd.doesExist(self._workspace_instrument):
idf_dir = config.getString('instrumentDefinition.directory')
idf = idf_dir + self._instrument_name + '_Definition.xml'
try:
LoadEmptyInstrument(Filename=idf,OutputWorkspace= self._workspace_instrument)
except RuntimeError:
raise ValueError('Invalid IDF')
return mtd[self._workspace_instrument]
def _create_test_wavelength_adjustment_file(file_name):
test_file = (" Tue 24-MAR-2015 00:02 Workspace: directbeam_new_hist\n"
"\n"
" 6 0 0 0 1 6 0\n"
" 0 0 0 0\n"
" 3 (F12.5,2E16.6)\n"
" 1.00000 5.000000e-01 5.000000e-01\n"
" 3.00000 5.000000e-01 5.000000e-01\n"
" 5.00000 5.000000e-01 5.000000e-01\n"
" 7.00000 5.000000e-01 5.000000e-01\n"
" 9.00000 5.000000e-01 5.000000e-01\n"
" 11.00000 5.000000e-01 5.000000e-01\n")
full_file_path = os.path.join(config.getString('defaultsave.directory'), file_name)
if os.path.exists(full_file_path):
os.remove(full_file_path)
with open(full_file_path, 'w') as f:
f.write(test_file)
return full_file_path
def run(self, sample):
"""
Run the export algorithms on a sample. For each export algorithm, the
function will try to validate the criteria (using _validCriteria()) on
the output workspace that corresponds to the sample. If the criteria are
valid, the export will be run on all workspaces whose name contains the
sample name.
Args:
sample (DrillSample): sample to be exported
"""
exportPath = config.getString("defaultsave.directory")
if not exportPath:
logger.warning("Default save directory is not defined. Please "
"specify one in the data directories dialog to "
"enable exports.")
return
workspaceName = sample.getOutputName()
try:
outputWs = mtd[workspaceName]
if isinstance(outputWs, WorkspaceGroup):
names = outputWs.getNames()
outputWs = names[0]
else:
outputWs = workspaceName
except:
return
tasks = list()
for algo,active in self._exportAlgorithms.items():
if not active:
continue
if not self._validCriteria(outputWs, algo):
logger.notice("Export of sample {} with {} was skipped "
"because workspaces are not compatible."
.format(outputWs, algo))
continue
for wsName in mtd.getObjectNames(contain=workspaceName):
if isinstance(mtd[wsName], WorkspaceGroup):
continue
filename = os.path.join(
exportPath,
wsName + RundexSettings.EXPORT_ALGO_EXTENSION[algo])
name = wsName + ":" + filename
if wsName not in self._exports:
self._exports[wsName] = set()
self._exports[wsName].add(filename)
kwargs = {}
if 'Ascii' in algo:
log_list = mtd[wsName].getInstrument().getStringParameter('log_list_to_save')
if log_list:
log_list = log_list[0].split(',')
kwargs['LogList'] = [log.strip() for log in log_list] # removes white spaces
if 'Reflectometry' in algo:
kwargs['WriteHeader'] = True
kwargs['FileExtension'] = 'custom'
else:
kwargs['WriteXError'] = True
task = DrillTask(name, algo, InputWorkspace=wsName,
FileName=filename, **kwargs)
task.addSuccessCallback(lambda wsName=wsName, filename=filename:
self._onTaskSuccess(wsName, filename))
task.addErrorCallback(lambda msg, wsName=wsName,
filename=filename:
self._onTaskError(wsName, filename, msg))
tasks.append(task)
self._pool.addProcesses(tasks)
