diff --git a/Simulation/SimuJobTransforms/python/simTrfArgs.py b/Simulation/SimuJobTransforms/python/simTrfArgs.py
index 52514eff937d28aaa1a67147bb5c866d69f53382..859c4077eaacf26a226d868a2905f5d5764500be 100644
--- a/Simulation/SimuJobTransforms/python/simTrfArgs.py
+++ b/Simulation/SimuJobTransforms/python/simTrfArgs.py
@@ -75,19 +75,19 @@ def addPileUpTrfArgs(parser):
parser.add_argument('--testPileUpConfig',
type=argFactory(argBool),
help='Calculates the number of background events that will be require for a given pile-up configuration.', group='PileUp')
- parser.add_argument('--inputLowPtMinbiasHitsFile','--LowPtMinbiasHitsFile', nargs='+',
+ parser.add_argument('--inputLowPtMinbiasHitsFile','--LowPtMinbiasHitsFile', nargs='+', action='append',
type=argFactory(argHITSFile, io='input', executor=['EVNTtoRDO','HITtoRDO'], auxiliaryFile=True),
help='Input HITS file for low pT minimum bias pile-up sub-events', group='PileUp')
- parser.add_argument('--inputHighPtMinbiasHitsFile','--HighPtMinbiasHitsFile', nargs='+',
+ parser.add_argument('--inputHighPtMinbiasHitsFile','--HighPtMinbiasHitsFile', nargs='+', action='append',
type=argFactory(argHITSFile, io='input', executor=['EVNTtoRDO','HITtoRDO'], auxiliaryFile=True),
help='Input HITS file for high pT minimum bias pile-up sub-events', group='PileUp')
- parser.add_argument('--inputCavernHitsFile', '--cavernHitsFile', nargs='+',
+ parser.add_argument('--inputCavernHitsFile', '--cavernHitsFile', nargs='+', action='append',
type=argFactory(argHITSFile, io='input', executor=['EVNTtoRDO','HITtoRDO'], auxiliaryFile=True),
help='Input HITS file for cavern background sub-events', group='PileUp')
- parser.add_argument('--inputBeamHaloHitsFile', '--beamHaloHitsFile', nargs='+',
+ parser.add_argument('--inputBeamHaloHitsFile', '--beamHaloHitsFile', nargs='+', action='append',
type=argFactory(argHITSFile, io='input', executor=['EVNTtoRDO','HITtoRDO'], auxiliaryFile=True),
help='Input HITS file for beam halo sub-events', group='PileUp'),
- parser.add_argument('--inputBeamGasHitsFile', '--beamGasHitsFile', nargs='+',
+ parser.add_argument('--inputBeamGasHitsFile', '--beamGasHitsFile', nargs='+', action='append',
type=argFactory(argHITSFile, io='input', executor=['EVNTtoRDO','HITtoRDO'], auxiliaryFile=True),
help='Input HITS file for beam gas sub-events', group='PileUp')
parser.add_argument('--numberOfLowPtMinBias',
diff --git a/Simulation/Tests/DigitizationTests/test/test_Digi_tf_multistep_presampling_CA_vs_CG.sh b/Simulation/Tests/DigitizationTests/test/test_Digi_tf_multistep_presampling_CA_vs_CG.sh
index c9fc9428395d5312029d8e3be67eccdf0827e77b..f3193e5dbafeb7d4ad48be16a16d02100bce5d38 100755
--- a/Simulation/Tests/DigitizationTests/test/test_Digi_tf_multistep_presampling_CA_vs_CG.sh
+++ b/Simulation/Tests/DigitizationTests/test/test_Digi_tf_multistep_presampling_CA_vs_CG.sh
@@ -12,8 +12,12 @@ Events=100
DigiOutFileNameCG="multistep_presampling.CG.RDO.pool.root"
DigiOutFileNameCA="multistep_presampling.CA.RDO.pool.root"
HSHitsFile="/cvmfs/atlas-nightlies.cern.ch/repo/data/data-art/OverlayTests/mc16_13TeV.900149.PG_single_nu_Pt50.simul.HITS.e8307_s3482/HITS.24078104._234467.pool.root.1"
-HighPtMinbiasHitsFiles="/cvmfs/atlas-nightlies.cern.ch/repo/data/data-art/Tier0ChainTests/mc16_13TeV.800831.Py8EG_minbias_inelastic_highjetphotonlepton.simul.HITS_FILT.e8341_s3687_s3704/*"
-LowPtMinbiasHitsFiles="/cvmfs/atlas-nightlies.cern.ch/repo/data/data-art/Tier0ChainTests/mc16_13TeV.900311.Epos_minbias_inelastic_lowjetphoton.simul.HITS_FILT.e8341_s3687_s3704/*"
+HighPtMinbiasHitsFiles1="/cvmfs/atlas-nightlies.cern.ch/repo/data/data-art/Tier0ChainTests/mc16_13TeV.800831.Py8EG_minbias_inelastic_highjetphotonlepton.simul.HITS_FILT.e8341_s3687_s3704/HITS_FILT.26106512._000149.pool.root.1"
+HighPtMinbiasHitsFiles2="/cvmfs/atlas-nightlies.cern.ch/repo/data/data-art/Tier0ChainTests/mc16_13TeV.800831.Py8EG_minbias_inelastic_highjetphotonlepton.simul.HITS_FILT.e8341_s3687_s3704/HITS_FILT.26106512._000581.pool.root.1"
+HighPtMinbiasHitsFiles3="/cvmfs/atlas-nightlies.cern.ch/repo/data/data-art/Tier0ChainTests/mc16_13TeV.800831.Py8EG_minbias_inelastic_highjetphotonlepton.simul.HITS_FILT.e8341_s3687_s3704/HITS_FILT.26106512._000717.pool.root.1"
+LowPtMinbiasHitsFiles1="/cvmfs/atlas-nightlies.cern.ch/repo/data/data-art/Tier0ChainTests/mc16_13TeV.900311.Epos_minbias_inelastic_lowjetphoton.simul.HITS_FILT.e8341_s3687_s3704/HITS_FILT.26106626._000068.pool.root.1"
+LowPtMinbiasHitsFiles2="/cvmfs/atlas-nightlies.cern.ch/repo/data/data-art/Tier0ChainTests/mc16_13TeV.900311.Epos_minbias_inelastic_lowjetphoton.simul.HITS_FILT.e8341_s3687_s3704/HITS_FILT.26106626._000480.pool.root.1"
+LowPtMinbiasHitsFiles3="/cvmfs/atlas-nightlies.cern.ch/repo/data/data-art/Tier0ChainTests/mc16_13TeV.900311.Epos_minbias_inelastic_lowjetphoton.simul.HITS_FILT.e8341_s3687_s3704/HITS_FILT.26106626._000574.pool.root.1"
# config only
@@ -26,8 +30,12 @@ Digi_tf.py \
--digiSteeringConf "StandardSignalOnlyTruth" \
--geometryVersion default:ATLAS-R2-2016-01-00-01 \
--inputHITSFile ${HSHitsFile} \
---inputHighPtMinbiasHitsFile ${HighPtMinbiasHitsFiles} \
---inputLowPtMinbiasHitsFile ${LowPtMinbiasHitsFiles} \
+--inputHighPtMinbiasHitsFile ${HighPtMinbiasHitsFiles1} \
+--inputHighPtMinbiasHitsFile ${HighPtMinbiasHitsFiles2} \
+--inputHighPtMinbiasHitsFile ${HighPtMinbiasHitsFiles3} \
+--inputLowPtMinbiasHitsFile ${LowPtMinbiasHitsFiles1} \
+--inputLowPtMinbiasHitsFile ${LowPtMinbiasHitsFiles2} \
+--inputLowPtMinbiasHitsFile ${LowPtMinbiasHitsFiles3} \
--jobNumber 568 \
--maxEvents ${Events} \
--outputRDOFile ${DigiOutFileNameCG} \
@@ -51,8 +59,12 @@ Digi_tf.py \
--digiSteeringConf "StandardSignalOnlyTruth" \
--geometryVersion default:ATLAS-R2-2016-01-00-01 \
--inputHITSFile ${HSHitsFile} \
---inputHighPtMinbiasHitsFile ${HighPtMinbiasHitsFiles} \
---inputLowPtMinbiasHitsFile ${LowPtMinbiasHitsFiles} \
+--inputHighPtMinbiasHitsFile ${HighPtMinbiasHitsFiles1} \
+--inputHighPtMinbiasHitsFile ${HighPtMinbiasHitsFiles2} \
+--inputHighPtMinbiasHitsFile ${HighPtMinbiasHitsFiles3} \
+--inputLowPtMinbiasHitsFile ${LowPtMinbiasHitsFiles1} \
+--inputLowPtMinbiasHitsFile ${LowPtMinbiasHitsFiles2} \
+--inputLowPtMinbiasHitsFile ${LowPtMinbiasHitsFiles3} \
--jobNumber 568 \
--maxEvents ${Events} \
--outputRDOFile ${DigiOutFileNameCG} \
@@ -91,8 +103,12 @@ then
--digiSteeringConf "StandardSignalOnlyTruth" \
--geometryVersion default:ATLAS-R2-2016-01-00-01 \
--inputHITSFile ${HSHitsFile} \
- --inputHighPtMinbiasHitsFile ${HighPtMinbiasHitsFiles} \
- --inputLowPtMinbiasHitsFile ${LowPtMinbiasHitsFiles} \
+ --inputHighPtMinbiasHitsFile ${HighPtMinbiasHitsFiles1} \
+ --inputHighPtMinbiasHitsFile ${HighPtMinbiasHitsFiles2} \
+ --inputHighPtMinbiasHitsFile ${HighPtMinbiasHitsFiles3} \
+ --inputLowPtMinbiasHitsFile ${LowPtMinbiasHitsFiles1} \
+ --inputLowPtMinbiasHitsFile ${LowPtMinbiasHitsFiles2} \
+ --inputLowPtMinbiasHitsFile ${LowPtMinbiasHitsFiles3} \
--jobNumber 568 \
--maxEvents ${Events} \
--outputRDOFile ${DigiOutFileNameCA} \
diff --git a/Tools/PyJobTransforms/python/transform.py b/Tools/PyJobTransforms/python/transform.py
index 946bfabe469d96464e379ac7fa6efe0b198e99ae..7ef44b7f800442d9a9b806cafcda8273584876a7 100644
--- a/Tools/PyJobTransforms/python/transform.py
+++ b/Tools/PyJobTransforms/python/transform.py
@@ -328,7 +328,11 @@ class transform(object):
for k, v in self._argdict.items():
if isinstance(v, argument):
v.name = k
-
+ elif isinstance(v, list):
+ for it in v:
+ if isinstance(it, argument):
+ it.name = k
+
# Now we parsed all arguments, if a pickle/json dump is requested do it here and exit
if 'dumpPickle' in self._argdict:
msg.info('Now dumping pickled version of command line to {0}'.format(self._argdict['dumpPickle']))
@@ -497,13 +501,20 @@ class transform(object):
# Note specifier [A-Za-z0-9_]+? makes this match non-greedy (avoid swallowing the optional 'File' suffix)
m = re.match(r'(input|output|tmp)([A-Za-z0-9_]+?)(File)?$', key)
# N.B. Protect against taking argunents which are not type argFile
- if m and isinstance(value, argFile):
- if m.group(1) == 'input':
- self._inputData.append(m.group(2))
- else:
- self._outputData.append(m.group(2))
- self._dataDictionary[m.group(2)] = value
-
+ if m:
+ if isinstance(value, argFile):
+ if m.group(1) == 'input':
+ self._inputData.append(m.group(2))
+ else:
+ self._outputData.append(m.group(2))
+ self._dataDictionary[m.group(2)] = value
+ elif isinstance(value, list) and value and isinstance(value[0], argFile):
+ if m.group(1) == 'input':
+ self._inputData.append(m.group(2))
+ else:
+ self._outputData.append(m.group(2))
+ self._dataDictionary[m.group(2)] = value
+
## @note If we have no real data then add the pseudo datatype NULL, which allows us to manage
# transforms which can run without data
if len(self._inputData) == 0:
diff --git a/Tools/PyJobTransforms/python/trfArgClasses.py b/Tools/PyJobTransforms/python/trfArgClasses.py
index 482dad31beba40949e613eac752870f1625fd7c9..1e0170b57012349360adf243f7441dcab5615b1b 100644
--- a/Tools/PyJobTransforms/python/trfArgClasses.py
+++ b/Tools/PyJobTransforms/python/trfArgClasses.py
@@ -514,7 +514,7 @@ class argFile(argList):
self._mergeTargetSize = mergeTargetSize
self._auxiliaryFile = auxiliaryFile
self._originalName = None
-
+
# User setter to get valid value check
self.io = io
@@ -2488,50 +2488,66 @@ class trfArgParser(argparse.ArgumentParser):
def allArgs(self):
return list(self._helpString)
+ # @brief parsing helper
+ def _parse_list_helper(self, value):
+ # We build on the value[0] instance as this contains the correct metadata
+ # and object references for this instance (shallow copying can
+ # mess up object references and deepcopy thows exceptions!)
+ newValueObj = value[0]
+ msg.debug('Started with: %s = %s', type(newValueObj), newValueObj)
+ if isinstance(value[0], argSubstep):
+ # Make sure you do not have a reference to the original value - this is a deeper copy
+ newValues = dictSubstepMerge(value[0].value, {})
+ elif isinstance(value[0], list):
+ if len(value) == 1:
+ return self._parse_list_helper(value[0])
+ msg.debug('Handling a list of arguments for key')
+ newValues = []
+ for v in value:
+ processedValueObj, processedValues = self._parse_list_helper(v)
+ processedValueObj.value = processedValues
+ newValues.append(processedValueObj)
+ newValueObj = newValues
+ return newValueObj, newValues
+ elif isinstance(value[0].value, list):
+ newValues = value[0].value
+ elif isinstance(value[0].value, dict):
+ newValues = value[0].value
+ else:
+ newValues = [value[0].value,]
+ for valueObj in value[1:]:
+ msg.debug('Value Object: %s = %s', type(valueObj), valueObj)
+ if isinstance(value[0], argSubstep):
+ # Special merger for lists attached to substeps
+ newValues = dictSubstepMerge(newValues, valueObj.value)
+ elif isinstance(valueObj.value, list):
+ # General lists are concatenated
+ newValues.extend(valueObj.value)
+ elif isinstance(valueObj.value, dict):
+ # General dictionaries are merged
+ newValues.update(valueObj.value)
+ else:
+ newValues.append(valueObj.value)
+ return newValueObj, newValues
## @brief Call argument_parser parse_args, then concatenate values
# @details Sets-up the standard argparse namespace, then use a special
# treatment for lists (arising from nargs='+'), where values
# are appropriately concatenated and a single object is returned
# @return argument_parser namespace object
- def parse_args(self, args = None, namespace = None):
+ def parse_args(self, args = None, namespace = None):
if namespace:
- super(trfArgParser, self).parse_args(args = args, namespace = namespace)
+ super(trfArgParser, self).parse_args(args = args, namespace = namespace)
else:
namespace = super(trfArgParser, self).parse_args(args = args)
for k, v in namespace.__dict__.items():
msg.debug('Treating key %s (%s)', k, v)
if isinstance(v, list):
- # We build on the v[0] instance as this contains the correct metadata
- # and object references for this instance (shallow copying can
- # mess up object references and deepcopy thows exceptions!)
- newValueObj = v[0]
- msg.debug('Started with: %s = %s', type(newValueObj), newValueObj)
- if isinstance(v[0], argSubstep):
- # Make sure you do not have a reference to the original value - this is a deeper copy
- newValues = dictSubstepMerge(v[0].value, {})
- elif isinstance(v[0].value, list):
- newValues = v[0].value
- elif isinstance(v[0].value, dict):
- newValues = v[0].value
- else:
- newValues = [v[0].value,]
- for valueObj in v[1:]:
- msg.debug('Value Object: %s = %s', type(valueObj), valueObj)
- if isinstance(v[0], argSubstep):
- # Special merger for lists attached to substeps
- newValues = dictSubstepMerge(newValues, valueObj.value)
- elif isinstance(valueObj.value, list):
- # General lists are concatenated
- newValues.extend(valueObj.value)
- elif isinstance(valueObj.value, dict):
- # General dictionaries are merged
- newValues.update(valueObj.value)
- else:
- newValues.append(valueObj.value)
- newValueObj.value = newValues
+ newValueObj, newValues = self._parse_list_helper(v)
+ if not isinstance(newValueObj, list):
+ newValueObj.value = newValues
namespace.__dict__[k] = newValueObj
- msg.debug('Set to %s', newValueObj.value)
+ msg.debug('Set to %s', newValues)
return namespace
diff --git a/Tools/PyJobTransforms/python/trfExe.py b/Tools/PyJobTransforms/python/trfExe.py
index fc2b3b2e9ae752ed36164c0d88bd62b7ddbf0113..ba3ca11e8b91e3d028dc469304a06fd411c6a5db 100755
--- a/Tools/PyJobTransforms/python/trfExe.py
+++ b/Tools/PyJobTransforms/python/trfExe.py
@@ -1091,8 +1091,17 @@ class athenaExecutor(scriptExecutor):
# See if we have any 'extra' file arguments
nameForFiles = commonExecutorStepName(self._name)
for dataType, dataArg in self.conf.dataDictionary.items():
- if dataArg.io == 'input' and nameForFiles in dataArg.executor:
- inputFiles[dataArg.subtype] = dataArg
+ if isinstance(dataArg, list) and dataArg:
+ if self.conf.totalExecutorSteps <= 1:
+ raise ValueError('Multiple input arguments provided but only running one substep')
+ if self.conf.totalExecutorSteps != len(dataArg):
+ raise ValueError(f'{len(dataArg)} input arguments provided but running {self.conf.totalExecutorSteps} substeps')
+
+ if dataArg[self.conf.executorStep].io == 'input' and nameForFiles in dataArg[self.conf.executorStep].executor:
+ inputFiles[dataArg[self.conf.executorStep].subtype] = dataArg
+ else:
+ if dataArg.io == 'input' and nameForFiles in dataArg.executor:
+ inputFiles[dataArg.subtype] = dataArg
msg.debug('Input Files: {0}; Output Files: {1}'.format(inputFiles, outputFiles))
diff --git a/Tools/PyJobTransforms/python/trfJobOptions.py b/Tools/PyJobTransforms/python/trfJobOptions.py
index 6e898353908c09be1ed29bef0c74593a52c92699..c6380a32062028160df95a77a6b213d894ccc3c7 100644
--- a/Tools/PyJobTransforms/python/trfJobOptions.py
+++ b/Tools/PyJobTransforms/python/trfJobOptions.py
@@ -120,12 +120,21 @@ class JobOptionsTemplate(object):
# Now deal with our input and output files
print(os.linesep, "# Input data", file=runargsFile)
for dataType, dataArg in input.items():
- print('{0}.input{1}File = {2!r}'.format(self._runArgsName, dataType, dataArg.value), file=runargsFile)
- print('{0}.input{1}FileType = {2!r}'.format(self._runArgsName, dataType, dataArg.type), file=runargsFile)
- # Add the input event count, if we know it
- if dataArg.isCached(metadataKeys = ['nentries']):
- print('{0}.input{1}FileNentries = {2!r}'.format(self._runArgsName, dataType, dataArg.nentries), file=runargsFile)
- print("{0}.{1}FileIO = {2!r}".format(self._runArgsName, dataType, self._exe.conf.dataDictionary[dataType].io), file=runargsFile)
+ if isinstance(dataArg, list) and dataArg:
+ dataArgStep = dataArg[self._exe.conf.executorStep]
+ print('{0}.input{1}File = {2!r}'.format(self._runArgsName, dataType, dataArgStep.value), file=runargsFile)
+ print('{0}.input{1}FileType = {2!r}'.format(self._runArgsName, dataType, dataArgStep.type), file=runargsFile)
+ # Add the input event count, if we know it
+ if dataArgStep.isCached(metadataKeys = ['nentries']):
+ print('{0}.input{1}FileNentries = {2!r}'.format(self._runArgsName, dataType, dataArgStep.nentries), file=runargsFile)
+ print("{0}.{1}FileIO = {2!r}".format(self._runArgsName, dataType, dataArgStep.io), file=runargsFile)
+ else:
+ print('{0}.input{1}File = {2!r}'.format(self._runArgsName, dataType, dataArg.value), file=runargsFile)
+ print('{0}.input{1}FileType = {2!r}'.format(self._runArgsName, dataType, dataArg.type), file=runargsFile)
+ # Add the input event count, if we know it
+ if dataArg.isCached(metadataKeys = ['nentries']):
+ print('{0}.input{1}FileNentries = {2!r}'.format(self._runArgsName, dataType, dataArg.nentries), file=runargsFile)
+ print("{0}.{1}FileIO = {2!r}".format(self._runArgsName, dataType, dataArg.io), file=runargsFile)
print(os.linesep, "# Output data", file=runargsFile)
for dataType, dataArg in output.items():
diff --git a/Tools/PyJobTransforms/python/trfReports.py b/Tools/PyJobTransforms/python/trfReports.py
index 08252250d90f24403a67944093fb3e7f0f92b500..b3d126c6c1e588e97398a10c162d0acace5856b9 100644
--- a/Tools/PyJobTransforms/python/trfReports.py
+++ b/Tools/PyJobTransforms/python/trfReports.py
@@ -157,6 +157,8 @@ class trfJobReport(trfReport):
myDict['files'][fileType] = []
# Should have a dataDictionary, unless something went wrong very early...
for dataType, dataArg in self._trf._dataDictionary.items():
+ if isinstance(dataArg, list): # Always skip lists from the report (auxiliary files)
+ continue
if dataArg.auxiliaryFile: # Always skip auxilliary files from the report
continue
if fileReport[dataArg.io]:
@@ -266,6 +268,8 @@ class trfJobReport(trfReport):
# Now add information about output files
for dataArg in self._trf._dataDictionary.values():
+ if isinstance(dataArg, list): # Always skip lists from the report (auxiliary files)
+ continue
if dataArg.io == 'output':
for fileEltree in trfFileReport(dataArg).classicEltreeList(fast = fast):
trfTree.append(fileEltree)