def validateWorkspaces(self, valNames=None, mismatchName=None):
'''
Performs a check that two workspaces are equal using the CompareWorkspaces
algorithm. Loads one workspace from a nexus file if appropriate.
Returns true if: the workspaces match
OR the validate method has not been overridden.
Returns false if the workspace do not match. The reason will be in the log.
'''
if valNames is None:
valNames = self.validate()
checker = AlgorithmManager.create("CompareWorkspaces")
checker.setLogging(True)
checker.setPropertyValue("Workspace1", valNames[0])
checker.setPropertyValue("Workspace2", valNames[1])
checker.setProperty("Tolerance", float(self.tolerance))
if hasattr(self, 'tolerance_is_reller') and self.tolerance_is_reller:
checker.setProperty("ToleranceRelerr", True)
for d in self.disableChecking:
checker.setProperty("Check"+d, False)
checker.execute()
if not checker.getProperty("Result").value:
print(self.__class__.__name__)
if mismatchName:
SaveNexus(InputWorkspace=valNames[0],
Filename=self.__class__.__name__+mismatchName+'-mismatch.nxs')
else:
SaveNexus(InputWorkspace=valNames[0],
Filename=self.__class__.__name__+'-mismatch.nxs')
return False
return True
def _save_focused_output_files_as_nexus(self, instrument, sample_path,
bank, sample_workspace, rb_num):
nexus_output_path = path.join(
path_handling.get_output_path(), "Focus",
self._generate_output_file_name(instrument, sample_path, bank,
".nxs"))
SaveNexus(InputWorkspace=sample_workspace, Filename=nexus_output_path)
if rb_num:
nexus_output_path = path.join(
path_handling.get_output_path(), "User", rb_num, "Focus",
self._generate_output_file_name(instrument, sample_path, bank,
".nxs"))
SaveNexus(InputWorkspace=sample_workspace,
Filename=nexus_output_path)
def _save_correction_files(integration_workspace, integration_path, curves_workspace, curves_path):
"""
Attempt to save the created workspaces to the filesystem.
:param integration_workspace: The workspace for the vanadium integration.
:param integration_path: The path to save the integration workspace to.
:param curves_workspace: The workspace for the vanadium curves.
:param curves_path: The path to save the curves workspace to.
"""
try:
SaveNexus(InputWorkspace=integration_workspace, Filename=integration_path)
SaveNexus(InputWorkspace=curves_workspace, Filename=curves_path)
except RuntimeError as e: # If the files cannot be saved, continue with the execution of the algorithm anyway.
logger.error(
"Vanadium Correction files could not be saved to the filesystem. Description: " + str(e))
return
def run_reduction(input_workspace: EventWorkspace, workspace_name: str,
settings_file: str, output_dir: str): # Run reduction
# Get the angle
angle = get_angle(input_workspace)
params = find_angle_parameters_from_settings_json(settings_file, angle)
alg = AlgorithmManager.create("ReflectometryISISLoadAndProcess")
properties = {
"InputRunList": workspace_name,
"FirstTransmissionRunList": params.first_transmission_run_list,
"SecondTransmissionRunList": params.second_transmission_run_list,
"ThetaIn": angle,
"DetectorCorrectionType": params.detector_correction_type,
"MonitorBackgroundWavelengthMin":
params.monitor_background_wavelength_min,
"MonitorBackgroundWavelengthMax":
params.monitor_background_wavelength_max,
"MonitorIntegrationWavelengthMin":
params.monitor_integration_wavelength_min,
"MonitorIntegrationWavelengthMax":
params.monitor_integration_wavelength_max,
"WavelengthMin": params.wavelength_min,
"WavelengthMax": params.wavelength_max,
"I0MonitorIndex": params.i_zero_monitor_index,
"AnalysisMode": params.analysis_mode,
"StartOverlap": params.start_overlap,
"EndOverlap": params.end_overlap,
"ScaleRHSWorkspace": params.scale_rhs_workspace,
"TransmissionProcessingInstructions":
params.transmission_processing_instructions,
"ProcessingInstructions": params.processing_instructions
}
alg.setProperties(properties)
alg.execute()
# Save reduced data as Nexus files
OutputWorkspace = alg.getPropertyValue("OutputWorkspace")
OutputWorkspaceBinned = alg.getPropertyValue("OutputWorkspaceBinned")
SaveNexus(OutputWorkspace,
os.path.join(output_dir, OutputWorkspace + ".nxs"))
SaveNexus(OutputWorkspaceBinned,
os.path.join(output_dir, OutputWorkspaceBinned + ".nxs"))
# Save a copy of the .json settings file
copy(settings_file, output_dir)
return OutputWorkspaceBinned
def get_vanadium(run_number, npy=False):
"""
Pre-process vanadium only the first time it's used
"""
vanadiums = sorted(int(n.replace('HB2C_', '').replace('.nxs.h5', ''))
for n in os.listdir('/HFIR/HB2C/shared/Vanadium')
if 'HB2C_' in n and '.nxs.h5' in n)
van_run_number = vanadiums[np.searchsorted(vanadiums, run_number, side='right')-1]
upstream_van_file = '/HFIR/HB2C/shared/Vanadium/HB2C_{}.nxs.h5'.format(van_run_number)
if npy:
npy_van_file = '/HFIR/HB2C/shared/autoreduce/vanadium/HB2C_{}.npy'.format(van_run_number)
if os.path.exists(npy_van_file):
return np.load(npy_van_file)
else:
with h5py.File(upstream_van_file, 'r') as f:
bc = np.zeros((512*480*8))
for b in range(8):
bc += np.bincount(f['/entry/bank'+str(b+1)+'_events/event_id'].value,
minlength=512*480*8)
bc = bc.reshape((480*8, 512))
bc = (bc[::4, ::4] + bc[1::4, ::4] + bc[2::4, ::4] + bc[3::4, ::4]
+ bc[::4, 1::4] + bc[1::4, 1::4] + bc[2::4, 1::4] + bc[3::4, 1::4]
+ bc[::4, 2::4] + bc[1::4, 2::4] + bc[2::4, 2::4] + bc[3::4, 2::4]
+ bc[::4, 3::4] + bc[1::4, 3::4] + bc[2::4, 3::4] + bc[3::4, 3::4])
np.save(npy_van_file, bc)
return bc
else:
from mantid.simpleapi import LoadWAND, LoadNexus, SaveNexus
nxs_van_file = '/HFIR/HB2C/shared/autoreduce/vanadium/HB2C_{}.nxs'.format(van_run_number)
if os.path.exists(nxs_van_file):
ws = LoadNexus(nxs_van_file)
else:
ws = LoadWAND(upstream_van_file, Grouping='4x4')
SaveNexus(ws, nxs_van_file)
return ws
def runTest(self):
try:
input_file = tempfile.gettempdir() + '/__refl_flood_cor_temp.nxs'
x = [0, 100000, 0, 100000, 0, 100000, 0, 100000, 0, 100000, 0, 100000]
y = [1, 9, 8, 3, 1, 1]
ws = CreateWorkspace(x, y, NSpec=6)
SaveNexus(ws, input_file)
self.assertRaises(RuntimeError, CreateFloodWorkspace, input_file, Background='Quadratic', OutputWorkspace=self.flood_ws_name)
finally:
os.unlink(input_file)
def _save_focused_output_files_as_nexus(self, instrument, sample_run,
van_run, bank, sample_workspace,
rb_num, unit):
file_name = self._generate_output_file_name(instrument, sample_run,
van_run, bank, unit,
".nxs")
nexus_output_path = path.join(output_settings.get_output_path(),
"Focus", file_name)
AddSampleLog(Workspace=sample_workspace,
LogName="Vanadium Run",
LogText=van_run)
SaveNexus(InputWorkspace=sample_workspace, Filename=nexus_output_path)
if rb_num:
nexus_output_path = path.join(output_settings.get_output_path(),
"User", rb_num, "Focus", file_name)
SaveNexus(InputWorkspace=sample_workspace,
Filename=nexus_output_path)
if unit == "TOF":
self._last_focused_files.append(nexus_output_path)
def runTest(self):
try:
input_file = tempfile.gettempdir() + '/__refl_flood_cor_temp.nxs'
x = [0, 5, 6, 10] * 6
y = [1, 2, 1] + [9, 3, 9] + [8, 0, 8] + [3, 5, 3] + [14, 6, 14] + [15, 7, 15]
ws = CreateWorkspace(x, y, NSpec=6)
SaveNexus(ws, input_file)
self.assertRaises(RuntimeError, CreateFloodWorkspace, input_file,
CentralPixelSpectrum=3, RangeLower=3, RangeUpper=7, OutputWorkspace=self.flood_ws_name)
finally:
os.unlink(input_file)
def _save_t0(self, run_number, name='_t_ws'):
"""
Create temporary events file with delayed emission time from
moderator removed
:param run: run number
:param name: name for the output workspace
:return: file name of event file with events treated with algorithm
ModeratorTzeroLinear.
"""
ws = LoadEventNexus(Filename=self._makeRunFile(run_number),
NXentryName='entry-diff',
OutputWorkspace=name)
ws = ModeratorTzeroLinear(InputWorkspace=ws.name(),
OutputWorkspace=ws.name())
file_name = self._spawn_tempnexus()
SaveNexus(ws, file_name)
return file_name
def runTest(self):
try:
input_file = tempfile.gettempdir() + '/__refl_flood_cor_temp.nxs'
x = [0, 100000, 0, 100000, 0, 100000, 0, 100000, 0, 100000, 0, 100000]
y = [1, 9, 8, 3, 14, 15]
ws = CreateWorkspace(x, y, NSpec=6)
SaveNexus(ws, input_file)
CreateFloodWorkspace(input_file, CentralPixelSpectrum=3, StartSpectrum=2, EndSpectrum=4, OutputWorkspace=self.flood_ws_name)
out = mtd[self.flood_ws_name]
self.assertAlmostEqual(out.readY(0)[0], 1.0)
self.assertAlmostEqual(out.readY(1)[0], 9.0/8)
self.assertAlmostEqual(out.readY(2)[0], 1.0)
self.assertAlmostEqual(out.readY(3)[0], 3.0/8)
self.assertAlmostEqual(out.readY(4)[0], 1.0)
self.assertAlmostEqual(out.readY(5)[0], 1.0)
finally:
os.unlink(input_file)
def runTest(self):
try:
input_file = tempfile.gettempdir() + '/__refl_flood_cor_temp.nxs'
x = [0, 5, 6, 10] * 6
y = [1, 2, 1] + [9, 3, 9] + [8, 4, 8] + [3, 5, 3] + [14, 6, 14] + [15, 7, 15]
ws = CreateWorkspace(x, y, NSpec=6)
SaveNexus(ws, input_file)
CreateFloodWorkspace(input_file, CentralPixelSpectrum=3, RangeLower=3, RangeUpper=7, OutputWorkspace=self.flood_ws_name)
out = mtd[self.flood_ws_name]
self.assertAlmostEqual(out.readY(0)[0], 2.0/4)
self.assertAlmostEqual(out.readY(1)[0], 3.0/4)
self.assertAlmostEqual(out.readY(2)[0], 1.0)
self.assertAlmostEqual(out.readY(3)[0], 5.0/4)
self.assertAlmostEqual(out.readY(4)[0], 6.0/4)
self.assertAlmostEqual(out.readY(5)[0], 7.0/4)
finally:
os.unlink(input_file)
def _save_t0(self, run_number, name='_t_ws'):
"""
Create temporary events file with delayed emission time from
moderator removed
:param run: run number
:param name: name for the output workspace
:return: file name of event file with events treated with algorithm
ModeratorTzeroLinear.
"""
ws = self._load_single_run(run_number, name)
ws = ModeratorTzeroLinear(InputWorkspace=ws.name(),
Gradient=self._tzero['gradient'],
Intercept=self._tzero['intercept'],
OutputWorkspace=ws.name())
# Correct old DAS shift of fast neutrons. See GitHub issue 23855
if self._das_version == VDAS.v1900_2018:
ws = self.add_previous_pulse(ws)
file_name = self._spawn_tempnexus()
SaveNexus(ws, file_name)
return file_name
def save_pdcal_output_file(ws_name_suffix, bank_name):
file_path = calibration_dir + EnggUtils.generate_output_file_name(
ceria_path, instrument, bank=bank_name, ext=".nxs")
ws_name = "engggui_calibration_" + ws_name_suffix
SaveNexus(InputWorkspace=ws_name, Filename=file_path)
from mantid.simpleapi import SaveNexus
import tube
tube.readCalibrationFile(
'CalibTable',
'/SNS/users/rwp/corelli/tube_calibration/calib_quad_new3.txt')
SaveNexus('CalibTable',
'/SNS/users/rwp/corelli/tube_calibration/calibtable.nxs')
def _saveNexusFiles(self):
for wsName in self.wsNames:
outfile = os.path.join(self.outFolder, wsName + ".nxs")
print "Saving ", outfile
SaveNexus(wsName, outfile)
from mantid.simpleapi import Load, mtd, CloneWorkspace, Integration, SaveNexus, RemoveLogs
import numpy as np
ws_list = np.genfromtxt('/SNS/users/rwp/corelli/tube_calibration/list',
delimiter=',',
dtype=[('runs', '|S11'), ('banks', '5i8'),
('height', 'i8')])
for run, banks, height in ws_list:
banks = np.asarray(banks)
banks = banks[np.nonzero(banks)]
bank_names = ','.join('bank' + str(b) for b in banks)
data = Load(Filename='CORELLI_' + run,
BankName=bank_names,
SingleBankPixelsOnly=False)
pc = sum(data.getRun()['proton_charge'].value)
data = Integration(data)
data /= pc
RemoveLogs(data)
if 'accum' in mtd:
accum += data
else:
accum = CloneWorkspace(data)
SaveNexus(accum, '/SNS/users/rwp/corelli/tube_calibration/all_banks.nxs')
