def getWorkloadArguments():
baseArgs = StdBase.getWorkloadArguments()
specArgs = {
"RequestType": {
"default": "StepChain",
"optional": False
},
"GlobalTag": {
"type": str,
"optional": False
},
"CouchURL": {
"type": str,
"optional": False,
"validate": couchurl
},
"PrimaryDataset": {
"default": None,
"type": str,
"validate": primdataset,
"null": False
},
"CouchDBName": {
"type": str,
"optional": False,
"validate": identifier
},
"ConfigCacheUrl": {
"type": str,
"optional": True,
"null": True
},
"StepChain": {
"default": 1,
"type": int,
"optional": False,
"validate": lambda x: x > 0,
"attr": "stepChain",
"null": False
},
"FirstEvent": {
"default": 1,
"type": int,
"optional": True,
"validate": lambda x: x > 0,
"attr": "firstEvent",
"null": False
},
"FirstLumi": {
"default": 1,
"type": int,
"optional": True,
"validate": lambda x: x > 0,
"attr": "firstLumi",
"null": False
}
}
baseArgs.update(specArgs)
StdBase.setDefaultArgumentsProperty(baseArgs)
return baseArgs
def getWorkloadArguments():
"""
If arg is not specifyed, automatically set by following default value
- default: None
- type: str
- optional: True
- assign_optional: True
- validate: None
- attr: change first letter to lower case
- null: False
"""
baseArgs = StdBase.getWorkloadArguments()
specArgs = {"RequestType": {"default" : "Express"},
"Scenario": {"optional" : False, "attr" : "procScenario"},
"RecoCMSSWVersion": {"optional" : False, "validate" : cmsswversion,
"attr" : "recoFrameworkVersion", "null" : True},
"RecoScramArch": {"optional" : False, "null" : True},
"GlobalTag": {"optional" : False},
"GlobalTagTransaction": {"optional" : False},
"StreamName": {"optional" : False},
"SpecialDataset": {"optional" : False},
"AlcaHarvestTimeout": {"type" : int, "optional" : False},
"AlcaHarvestDir": {"optional" : False, "null" : True},
"AlcaSkims": {"type" : makeList, "optional" : False},
"DQMSequences": {"type" : makeList, "attr" : "dqmSequences", "optional" : False},
"BlockCloseDelay": {"type" : int, "optional" : False,
"validate" : lambda x : x > 0
},
}
baseArgs.update(specArgs)
StdBase.setDefaultArgumentsProperty(baseArgs)
return baseArgs
def getWorkloadArguments():
"""
If arg is not specifyed, automatically set by following default value
- default: None
- type: str
- optional: True
- assign_optional: True
- validate: None
- attr: change first letter to lower case
- null: False
"""
baseArgs = StdBase.getWorkloadArguments()
## specArgs = {"Outputs" : {"default" : {}, "type" : dict,
## "optional" : False, "validate" : None,
## "attr" : "outputs", "null" : False},
specArgs = {"RequestType" : {"default" : "Express"},
"Scenario" : {"optional" : False, "attr" : "procScenario"},
"RecoCMSSWVersion" : {"optional" : False, "validate" : cmsswversion,
"attr" : "recoFrameworkVersion", "null" : True},
"RecoScramArch" : {"optional" : False, "null" : True},
"GlobalTag" : {"optional" : False},
"GlobalTagTransaction" : {"optional" : False},
"StreamName" : {"optional" : False},
"SpecialDataset" : {"optional" : False},
"AlcaHarvestTimeout" : {"type" : int, "optional" : False},
"AlcaHarvestDir" : {"optional" : False, "null" : True},
"AlcaSkims" : {"type" : makeList, "optional" : False},
"DqmSequences" : {"type" : makeList, "optional" : False},
"BlockCloseDelay" : {"type" : int, "optional" : False,
"validate" : lambda x : x > 0},
}
baseArgs.update(specArgs)
StdBase.setDefaultArgumentsProperty(baseArgs)
return baseArgs
def getWorkloadArguments():
baseArgs = StdBase.getWorkloadArguments()
reqMgrArgs = StdBase.getWorkloadArgumentsWithReqMgr()
baseArgs.update(reqMgrArgs)
specArgs = {"RequestType": {"default": "TaskChain", "optional": False,
"attr": "requestType"},
# ConfigCacheID is not mandatory in the main dict for TaskChain
"ConfigCacheID": {"optional": True, "null": True},
"CouchURL": {"default": "http://localhost:5984", "type": str,
"optional": False, "validate": couchurl,
"attr": "couchURL", "null": False},
"CouchDBName": {"default": "dp_configcache", "type": str,
"optional": False, "validate": identifier,
"attr": "couchDBName", "null": False},
"ConfigCacheUrl": {"default": None, "type": str,
"optional": True, "validate": None,
"attr": "configCacheUrl", "null": True},
"IgnoredOutputModules": {"default": [], "type": makeList,
"optional": True, "validate": None,
"attr": "ignoredOutputModules", "null": False},
"TaskChain": {"default": 1, "type": int,
"optional": False, "validate": lambda x: x > 0,
"attr": "taskChain", "null": False},
"FirstEvent": {"default": 1, "type": int,
"optional": True, "validate": lambda x: x > 0,
"attr": "firstEvent", "null": False},
"FirstLumi": {"default": 1, "type": int,
"optional": True, "validate": lambda x: x > 0,
"attr": "firstLumi", "null": False}
}
baseArgs.update(specArgs)
StdBase.setDefaultArgumentsProperty(baseArgs)
return baseArgs
def getWorkloadArguments():
baseArgs = StdBase.getWorkloadArguments()
reqMgrArgs = StdBase.getWorkloadArgumentsWithReqMgr()
baseArgs.update(reqMgrArgs)
specArgs = {"RequestType": {"default": "DQMHarvest"},
"InputDataset": {"default": None, "optional": False,
"validate": dataset},
"UnmergedLFNBase": {"default": "/store/unmerged"},
"MergedLFNBase": {"default": "/store/data"},
"MinMergeSize": {"default": 2 * 1024 * 1024 * 1024, "type": int,
"validate": lambda x: x > 0},
"MaxMergeSize": {"default": 4 * 1024 * 1024 * 1024, "type": int,
"validate": lambda x: x > 0},
"MaxMergeEvents": {"default": 100000, "type": int,
"validate": lambda x: x > 0},
"BlockBlacklist": {"default": [], "type": makeList,
"validate": lambda x: all([block(y) for y in x])},
"BlockWhitelist": {"default": [], "type": makeList,
"validate": lambda x: all([block(y) for y in x])},
"RunBlacklist": {"default": [], "type": makeList,
"validate": lambda x: all([int(y) > 0 for y in x])},
"RunWhitelist": {"default": [], "type": makeList,
"validate": lambda x: all([int(y) > 0 for y in x])}
}
baseArgs.update(specArgs)
StdBase.setDefaultArgumentsProperty(baseArgs)
return baseArgs
def getWorkloadArguments():
baseArgs = StdBase.getWorkloadArguments()
reqMgrArgs = StdBase.getWorkloadArgumentsWithReqMgr()
baseArgs.update(reqMgrArgs)
specArgs = {"RequestType": {"default": "TaskChain", "optional": False,
"attr": "requestType"},
"GlobalTag": {"default": "GT_TC_V1", "type": str,
"optional": False, "validate": None,
"attr": "globalTag", "null": False},
"CouchURL": {"default": "http://localhost:5984", "type": str,
"optional": False, "validate": couchurl,
"attr": "couchURL", "null": False},
"CouchDBName": {"default": "dp_configcache", "type": str,
"optional": False, "validate": identifier,
"attr": "couchDBName", "null": False},
"ConfigCacheUrl": {"default": None, "type": str,
"optional": True, "validate": None,
"attr": "configCacheUrl", "null": True},
"IgnoredOutputModules": {"default": [], "type": makeList,
"optional": True, "validate": None,
"attr": "ignoredOutputModules", "null": False},
"TaskChain": {"default": 1, "type": int,
"optional": False, "validate": lambda x: x > 0,
"attr": "taskChain", "null": False},
"FirstEvent": {"default": 1, "type": int,
"optional": True, "validate": lambda x: x > 0,
"attr": "firstEvent", "null": False},
"FirstLumi": {"default": 1, "type": int,
"optional": True, "validate": lambda x: x > 0,
"attr": "firstLumi", "null": False}
}
baseArgs.update(specArgs)
StdBase.setDefaultArgumentsProperty(baseArgs)
return baseArgs
def getWorkloadArguments():
baseArgs = StdBase.getWorkloadArguments()
reqMgrArgs = StdBase.getWorkloadArgumentsWithReqMgr()
baseArgs.update(reqMgrArgs)
specArgs = {"RequestType": {"default": "DQMHarvest"},
"InputDataset": {"default": None, "optional": False,
"validate": dataset},
"ConfigCacheID": {"optional": True, "validate": None, "null": True},
"UnmergedLFNBase": {"default": "/store/unmerged"},
"MergedLFNBase": {"default": "/store/data"},
"MinMergeSize": {"default": 2 * 1024 * 1024 * 1024, "type": int,
"validate": lambda x: x > 0},
"MaxMergeSize": {"default": 4 * 1024 * 1024 * 1024, "type": int,
"validate": lambda x: x > 0},
"MaxMergeEvents": {"default": 100000, "type": int,
"validate": lambda x: x > 0},
"BlockBlacklist": {"default": [], "type": makeList,
"validate": lambda x: all([block(y) for y in x])},
"BlockWhitelist": {"default": [], "type": makeList,
"validate": lambda x: all([block(y) for y in x])},
"RunBlacklist": {"default": [], "type": makeList,
"validate": lambda x: all([int(y) > 0 for y in x])},
"RunWhitelist": {"default": [], "type": makeList,
"validate": lambda x: all([int(y) > 0 for y in x])}
}
baseArgs.update(specArgs)
StdBase.setDefaultArgumentsProperty(baseArgs)
return baseArgs
def getWorkloadArguments():
"""
If arg is not specifyed, automatically set by following default value
- default: None
- type: str
- optional: True
- assign_optional: True
- validate: None
- attr: change first letter to lower case
- null: False
"""
baseArgs = StdBase.getWorkloadArguments()
## specArgs = {"Outputs" : {"default" : {}, "type" : dict,
## "optional" : False, "validate" : None,
## "attr" : "outputs", "null" : False},
specArgs = {"RequestType" : {"default" : "Repack"},
"Scenario" : {"default" : "fake", "attr" : "procScenario"},
"GlobalTag" : {"default" : "fake"},
"BlockCloseDelay" : {"type" : int, "optional" : False,
"validate" : lambda x : x > 0,
},
}
baseArgs.update(specArgs)
StdBase.setDefaultArgumentsProperty(baseArgs)
return baseArgs
def getWorkloadArguments():
"""
If arg is not specifyed, automatically set by following default value
- default: None
- type: str
- optional: True
- assign_optional: True
- validate: None
- attr: change first letter to lower case
- null: False
"""
baseArgs = StdBase.getWorkloadArguments()
## specArgs = {"Outputs" : {"default" : {}, "type" : dict,
## "optional" : False, "validate" : None,
## "attr" : "outputs", "null" : False},
specArgs = {
"RequestType": {
"default": "Repack"
},
"Scenario": {
"default": "fake",
"attr": "procScenario"
},
"GlobalTag": {
"default": "fake"
},
"BlockCloseDelay": {
"type": int,
"optional": False,
"validate": lambda x: x > 0,
},
}
baseArgs.update(specArgs)
StdBase.setDefaultArgumentsProperty(baseArgs)
return baseArgs
def getWorkloadArguments():
baseArgs = StdBase.getWorkloadArguments()
specArgs = {"InputDataset" : {"default" : "/MinimumBias/Run2010A-Dec22ReReco_v1/USER",
"type" : str, "optional" : False,
"validate" : dataset, "attr" : "inputDataset",
"null" : False},
"GlobalTag" : {"default" : "GT_SR_V1:All", "type" : str,
"optional" : False, "validate" : None,
"attr" : "globalTag", "null" : False},
"CmsPath" : {"default" : "/tmp", "type" : str,
"optional" : False, "validate" : None,
"attr" : "cmsPath", "null" : False},
"DataTier" : {"default" : "USER", "type" : str,
"optional" : True, "validate" : None,
"attr" : "dataTier", "null" : False},
"BlockBlacklist" : {"default" : [], "type" : makeList,
"optional" : True, "validate" : lambda x: all([block(y) for y in x]),
"attr" : "blockBlacklist", "null" : False},
"BlockWhitelist" : {"default" : [], "type" : makeList,
"optional" : True, "validate" : lambda x: all([block(y) for y in x]),
"attr" : "blockWhitelist", "null" : False},
"RunBlacklist" : {"default" : [], "type" : makeList,
"optional" : True, "validate" : lambda x: all([int(y) > 0 for y in x]),
"attr" : "runBlacklist", "null" : False},
"RunWhitelist" : {"default" : [], "type" : makeList,
"optional" : True, "validate" : lambda x: all([int(y) > 0 for y in x]),
"attr" : "runWhitelist", "null" : False}}
baseArgs.update(specArgs)
return baseArgs
def getWorkloadArguments():
baseArgs = StdBase.getWorkloadArguments()
specArgs = {"PrimaryDataset" : {"default" : "BlackHoleTest", "type" : str,
"optional" : False, "validate" : primdataset,
"attr" : "inputPrimaryDataset", "null" : False},
"Seeding" : {"default" : "AutomaticSeeding", "type" : str,
"optional" : True, "validate" : lambda x : x in ["ReproducibleSeeding",
"AutomaticSeeding"],
"attr" : "seeding", "null" : False},
"GlobalTag" : {"default" : "GT_MC_V1:All", "type" : str,
"optional" : False, "validate" : None,
"attr" : "globalTag", "null" : False},
"ConfigCacheID" : {"default" : None, "type" : str,
"optional" : False, "validate" : None,
"attr" : "configCacheID", "null" : False},
"CouchURL" : {"default" : "http://localhost:5984", "type" : str,
"optional" : False, "validate" : couchurl,
"attr" : "couchURL", "null" : False},
"CouchDBName" : {"default" : "mc_configcache", "type" : str,
"optional" : False, "validate" : identifier,
"attr" : "couchDBName", "null" : False},
"ConfigCacheUrl" : {"default" : None, "type" : str,
"optional" : True, "validate" : None,
"attr" : "configCacheUrl", "null" : False},
"FilterEfficiency" : {"default" : 1.0, "type" : float,
"optional" : True, "validate" : lambda x : x > 0.0,
"attr" : "filterEfficiency", "null" : False},
"RequestNumEvents" : {"default" : 1000, "type" : int,
"optional" : False, "validate" : lambda x : x > 0,
"attr" : "requestNumEvents", "null" : False},
"FirstEvent" : {"default" : 1, "type" : int,
"optional" : True, "validate" : lambda x : x > 0,
"attr" : "firstEvent", "null" : False},
"FirstLumi" : {"default" : 1, "type" : int,
"optional" : True, "validate" : lambda x : x > 0,
"attr" : "firstLumi", "null" : False},
"MCPileup" : {"default" : None, "type" : str,
"optional" : True, "validate" : dataset,
"attr" : "mcPileup", "null" : False},
"DataPileup" : {"default" : None, "type" : str,
"optional" : True, "validate" : dataset,
"attr" : "dataPileup", "null" : False},
"EventsPerJob" : {"default" : None, "type" : int,
"optional" : True, "validate" : lambda x : x > 0,
"attr" : "eventsPerJob", "null" : True},
"EventsPerLumi" : {"default" : None, "type" : int,
"optional" : True, "validate" : lambda x : x > 0,
"attr" : "eventsPerLumi", "null" : True},
"LheInputFiles" : {"default" : False, "type" : strToBool,
"optional" : True, "validate" : None,
"attr" : "lheInputFiles", "null" : False}
}
baseArgs.update(specArgs)
return baseArgs
def getWorkloadArguments():
baseArgs = StdBase.getWorkloadArguments()
reqMgrArgs = StdBase.getWorkloadArgumentsWithReqMgr()
baseArgs.update(reqMgrArgs)
specArgs = {"RequestType" : {"default" : "StoreResults", "optional" : True,
"attr" : "requestType"},
"InputDataset" : {"default" : None,
"type" : str, "optional" : False,
"validate" : dataset, "attr" : "inputDataset",
"null" : False},
"GlobalTag" : {"default" : "GT_SR_V1:All", "type" : str,
"optional" : False, "validate" : None,
"attr" : "globalTag", "null" : False},
"CmsPath" : {"default" : "/tmp", "type" : str,
"optional" : False, "validate" : None,
"attr" : "cmsPath", "null" : False},
"DataTier" : {"default" : "USER", "type" : str,
"optional" : True, "validate" : None,
"attr" : "dataTier", "null" : False},
"UnmergedLFNBase" : {"default" : "/store/unmerged", "type" : str,
"optional" : True, "validate" : None,
"attr" : "unmergedLFNBase", "null" : False},
"MergedLFNBase" : {"default" : "/store/results", "type" : str,
"optional" : True, "validate" : None,
"attr" : "mergedLFNBase", "null" : False},
"MinMergeSize" : {"default" : 2 * 1024 * 1024 * 1024, "type" : int,
"optional" : True, "validate" : lambda x : x > 0,
"attr" : "minMergeSize", "null" : False},
"MaxMergeSize" : {"default" : 4 * 1024 * 1024 * 1024, "type" : int,
"optional" : True, "validate" : lambda x : x > 0,
"attr" : "maxMergeSize", "null" : False},
"MaxMergeEvents" : {"default" : 100000, "type" : int,
"optional" : True, "validate" : lambda x : x > 0,
"attr" : "maxMergeEvents", "null" : False},
"BlockBlacklist" : {"default" : [], "type" : makeList,
"optional" : True, "validate" : lambda x: all([block(y) for y in x]),
"attr" : "blockBlacklist", "null" : False},
"BlockWhitelist" : {"default" : [], "type" : makeList,
"optional" : True, "validate" : lambda x: all([block(y) for y in x]),
"attr" : "blockWhitelist", "null" : False},
"RunBlacklist" : {"default" : [], "type" : makeList,
"optional" : True, "validate" : lambda x: all([int(y) > 0 for y in x]),
"attr" : "runBlacklist", "null" : False},
"RunWhitelist" : {"default" : [], "type" : makeList,
"optional" : True, "validate" : lambda x: all([int(y) > 0 for y in x]),
"attr" : "runWhitelist", "null" : False}}
baseArgs.update(specArgs)
StdBase.setDefaultArgumentsProperty(baseArgs)
return baseArgs
def getWorkloadArguments():
baseArgs = StdBase.getWorkloadArguments()
specArgs = {"InputDataset" : {"default" : "/MinimumBias/Run2012D-v1/RAW", "type" : str,
"optional" : False, "validate" : dataset,
"attr" : "inputDataset", "null" : False},
"GlobalTag" : {"default" : "GT_DP_V1", "type" : str,
"optional" : False, "validate" : None,
"attr" : "globalTag", "null" : False},
"CouchURL" : {"default" : "http://localhost:5984", "type" : str,
"optional" : False, "validate" : couchurl,
"attr" : "couchURL", "null" : False},
"CouchDBName" : {"default" : "dp_configcache", "type" : str,
"optional" : False, "validate" : identifier,
"attr" : "couchDBName", "null" : False},
"ConfigCacheUrl" : {"default" : None, "type" : str,
"optional" : True, "validate" : None,
"attr" : "configCacheUrl", "null" : True},
"OpenRunningTimeout" : {"default" : 0, "type" : int,
"optional" : True, "validate" : lambda x : x >= 0,
"attr" : "openRunningTimeout", "null" : False},
"BlockBlacklist" : {"default" : [], "type" : makeList,
"optional" : True, "validate" : lambda x: all([block(y) for y in x]),
"attr" : "blockBlacklist", "null" : False},
"BlockWhitelist" : {"default" : [], "type" : makeList,
"optional" : True, "validate" : lambda x: all([block(y) for y in x]),
"attr" : "blockWhitelist", "null" : False},
"RunBlacklist" : {"default" : [], "type" : makeList,
"optional" : True, "validate" : lambda x: all([int(y) > 0 for y in x]),
"attr" : "runBlacklist", "null" : False},
"RunWhitelist" : {"default" : [], "type" : makeList,
"optional" : True, "validate" : lambda x: all([int(y) > 0 for y in x]),
"attr" : "runWhitelist", "null" : False},
"SplittingAlgo" : {"default" : "EventAwareLumiBased", "type" : str,
"optional" : True, "validate" : lambda x: x in ["EventBased", "LumiBased",
"EventAwareLumiBased", "FileBased"],
"attr" : "procJobSplitAlgo", "null" : False},
"EventsPerJob" : {"default" : None, "type" : int,
"optional" : True, "validate" : lambda x : x > 0,
"attr" : "eventsPerJob", "null" : False},
"LumisPerJob" : {"default" : 8, "type" : int,
"optional" : True, "validate" : lambda x : x > 0,
"attr" : "lumisPerJob", "null" : False},
"FilesPerJob" : {"default" : 1, "type" : int,
"optional" : True, "validate" : lambda x : x > 0,
"attr" : "filesPerJob", "null" : False}
}
baseArgs.update(specArgs)
return baseArgs
def getWorkloadArguments():
baseArgs = StdBase.getWorkloadArguments()
reqMgrArgs = StdBase.getWorkloadArgumentsWithReqMgr()
baseArgs.update(reqMgrArgs)
specArgs = {"RequestType" : {"default" : "StoreResults", "optional" : True,
"attr" : "requestType"},
"InputDataset" : {"default" : None,
"type" : str, "optional" : False,
"validate" : dataset, "attr" : "inputDataset",
"null" : False},
"GlobalTag" : {"default" : "GT_SR_V1:All", "type" : str,
"optional" : False, "validate" : None,
"attr" : "globalTag", "null" : False},
"CmsPath" : {"default" : "/tmp", "type" : str,
"optional" : False, "validate" : None,
"attr" : "cmsPath", "null" : False},
"DataTier" : {"default" : "USER", "type" : str,
"optional" : True, "validate" : None,
"attr" : "dataTier", "null" : False},
"UnmergedLFNBase" : {"default" : "/store/unmerged", "type" : str,
"optional" : True, "validate" : None,
"attr" : "unmergedLFNBase", "null" : False},
"MergedLFNBase" : {"default" : "/store/results", "type" : str,
"optional" : True, "validate" : None,
"attr" : "mergedLFNBase", "null" : False},
"MinMergeSize" : {"default" : 2 * 1024 * 1024 * 1024, "type" : int,
"optional" : True, "validate" : lambda x : x > 0,
"attr" : "minMergeSize", "null" : False},
"MaxMergeSize" : {"default" : 4 * 1024 * 1024 * 1024, "type" : int,
"optional" : True, "validate" : lambda x : x > 0,
"attr" : "maxMergeSize", "null" : False},
"MaxMergeEvents" : {"default" : 100000, "type" : int,
"optional" : True, "validate" : lambda x : x > 0,
"attr" : "maxMergeEvents", "null" : False},
"BlockBlacklist" : {"default" : [], "type" : makeList,
"optional" : True, "validate" : lambda x: all([block(y) for y in x]),
"attr" : "blockBlacklist", "null" : False},
"BlockWhitelist" : {"default" : [], "type" : makeList,
"optional" : True, "validate" : lambda x: all([block(y) for y in x]),
"attr" : "blockWhitelist", "null" : False},
"RunBlacklist" : {"default" : [], "type" : makeList,
"optional" : True, "validate" : lambda x: all([int(y) > 0 for y in x]),
"attr" : "runBlacklist", "null" : False},
"RunWhitelist" : {"default" : [], "type" : makeList,
"optional" : True, "validate" : lambda x: all([int(y) > 0 for y in x]),
"attr" : "runWhitelist", "null" : False}}
baseArgs.update(specArgs)
StdBase.setDefaultArgumentsProperty(baseArgs)
return baseArgs
def getWorkloadArguments():
baseArgs = StdBase.getWorkloadArguments()
reqMgrArgs = StdBase.getWorkloadArgumentsWithReqMgr()
baseArgs.update(reqMgrArgs)
specArgs = {"RequestType": {"default": "MonteCarlo", "optional": True,
"attr": "requestType"},
"PrimaryDataset": {"default": "BlackHoleTest", "type": str,
"optional": False, "validate": primdataset,
"attr": "inputPrimaryDataset", "null": False},
"Seeding": {"default": "AutomaticSeeding", "type": str,
"optional": True, "validate": lambda x: x in ["ReproducibleSeeding", "AutomaticSeeding"],
"attr": "seeding", "null": False},
"GlobalTag": {"default": "GT_MC_V1:All", "type": str,
"optional": False, "validate": None,
"attr": "globalTag", "null": False},
"FilterEfficiency": {"default": 1.0, "type": float,
"optional": True, "validate": lambda x: x > 0.0,
"attr": "filterEfficiency", "null": False},
"RequestNumEvents": {"default": 1000, "type": int,
"optional": False, "validate": lambda x: x > 0,
"attr": "requestNumEvents", "null": False},
"FirstEvent": {"default": 1, "type": int,
"optional": True, "validate": lambda x: x > 0,
"attr": "firstEvent", "null": False},
"FirstLumi": {"default": 1, "type": int,
"optional": True, "validate": lambda x: x > 0,
"attr": "firstLumi", "null": False},
"MCPileup": {"default": None, "type": str,
"optional": True, "validate": dataset,
"attr": "mcPileup", "null": False},
"DataPileup": {"default": None, "type": str,
"optional": True, "validate": dataset,
"attr": "dataPileup", "null": False},
"DeterministicPileup": {"default": False, "type": strToBool,
"optional": True, "validate": None,
"attr": "deterministicPileup", "null": False},
"EventsPerJob": {"default": None, "type": int,
"optional": True, "validate": lambda x: x > 0,
"attr": "eventsPerJob", "null": True},
"EventsPerLumi": {"default": None, "type": int,
"optional": True, "validate": lambda x: x > 0,
"attr": "eventsPerLumi", "null": True},
"LheInputFiles": {"default": False, "type": strToBool,
"optional": True, "validate": None,
"attr": "lheInputFiles", "null": False}
}
baseArgs.update(specArgs)
StdBase.setDefaultArgumentsProperty(baseArgs)
return baseArgs
def getWorkloadArguments():
baseArgs = StdBase.getWorkloadArguments()
reqMgrArgs = StdBase.getWorkloadArgumentsWithReqMgr()
baseArgs.update(reqMgrArgs)
specArgs = {"RequestType": {"default": "MonteCarlo", "optional": True,
"attr": "requestType"},
"PrimaryDataset": {"default": "BlackHoleTest", "type": str,
"optional": False, "validate": primdataset,
"attr": "inputPrimaryDataset", "null": False},
"Seeding": {"default": "AutomaticSeeding", "type": str,
"optional": True, "validate": lambda x: x in ["ReproducibleSeeding", "AutomaticSeeding"],
"attr": "seeding", "null": False},
"GlobalTag": {"default": "GT_MC_V1:All", "type": str,
"optional": False, "validate": None,
"attr": "globalTag", "null": False},
"FilterEfficiency": {"default": 1.0, "type": float,
"optional": True, "validate": lambda x: x > 0.0,
"attr": "filterEfficiency", "null": False},
"RequestNumEvents": {"default": 1000, "type": int,
"optional": False, "validate": lambda x: x > 0,
"attr": "requestNumEvents", "null": False},
"FirstEvent": {"default": 1, "type": int,
"optional": True, "validate": lambda x: x > 0,
"attr": "firstEvent", "null": False},
"FirstLumi": {"default": 1, "type": int,
"optional": True, "validate": lambda x: x > 0,
"attr": "firstLumi", "null": False},
"MCPileup": {"default": None, "type": str,
"optional": True, "validate": dataset,
"attr": "mcPileup", "null": True},
"DataPileup": {"default": None, "type": str,
"optional": True, "validate": dataset,
"attr": "dataPileup", "null": True},
"DeterministicPileup": {"default": False, "type": strToBool,
"optional": True, "validate": None,
"attr": "deterministicPileup", "null": False},
"EventsPerJob": {"default": None, "type": int,
"optional": True, "validate": lambda x: x > 0,
"attr": "eventsPerJob", "null": True},
"EventsPerLumi": {"default": None, "type": int,
"optional": True, "validate": lambda x: x > 0,
"attr": "eventsPerLumi", "null": True},
"LheInputFiles": {"default": False, "type": strToBool,
"optional": True, "validate": None,
"attr": "lheInputFiles", "null": False}
}
baseArgs.update(specArgs)
StdBase.setDefaultArgumentsProperty(baseArgs)
return baseArgs
def getWorkloadArguments():
baseArgs = StdBase.getWorkloadArguments()
## specArgs = {"Outputs" : {"default" : {}, "type" : dict,
## "optional" : False, "validate" : None,
## "attr" : "outputs", "null" : False},
specArgs = {"Scenario" : {"default" : "fake", "type" : str,
"optional" : True, "validate" : None,
"attr" : "procScenario", "null" : False},
"GlobalTag" : {"default" : "fake", "type" : str,
"optional" : True, "validate" : None,
"attr" : "globalTag", "null" : False},
"BlockCloseDelay" : {"default" : None, "type" : int,
"optional" : False, "validate" : lambda x : x > 0,
"attr" : "blockCloseDelay", "null" : False},
}
baseArgs.update(specArgs)
return baseArgs
def getWorkloadArguments():
baseArgs = StdBase.getWorkloadArguments()
## specArgs = {"Outputs" : {"default" : {}, "type" : dict,
## "optional" : False, "validate" : None,
## "attr" : "outputs", "null" : False},
specArgs = {"Scenario" : {"default" : None, "type" : str,
"optional" : False, "validate" : None,
"attr" : "procScenario", "null" : False},
"RecoCMSSWVersion" : {"default" : None, "type" : str,
"optional" : False, "validate" : cmsswversion,
"attr" : "recoFrameworkVersion", "null" : True},
"RecoScramArch" : {"default" : None, "type" : str,
"optional" : False, "validate" : None,
"attr" : "recoScramArch", "null" : True},
"GlobalTag" : {"default" : None, "type" : str,
"optional" : False, "validate" : None,
"attr" : "globalTag", "null" : False},
"GlobalTagTransaction" : {"default" : None, "type" : str,
"optional" : False, "validate" : None,
"attr" : "globalTagTransaction", "null" : False},
"StreamName" : {"default" : None, "type" : str,
"optional" : False, "validate" : None,
"attr" : "streamName", "null" : False},
"SpecialDataset" : {"default" : None, "type" : str,
"optional" : False, "validate" : None,
"attr" : "specialDataset", "null" : False},
"AlcaHarvestTimeout" : {"default" : None, "type" : int,
"optional" : False, "validate" : None,
"attr" : "alcaHarvestTimeout", "null" : False},
"AlcaHarvestDir" : {"default" : None, "type" : str,
"optional" : False, "validate" : None,
"attr" : "alcaHarvestDir", "null" : True},
"AlcaSkims" : {"default" : None, "type" : makeList,
"optional" : False, "validate" : None,
"attr" : "alcaSkims", "null" : False},
"DqmSequences" : {"default" : None, "type" : makeList,
"optional" : False, "validate" : None,
"attr" : "dqmSequences", "null" : False},
"BlockCloseDelay" : {"default" : None, "type" : int,
"optional" : False, "validate" : lambda x : x > 0,
"attr" : "blockCloseDelay", "null" : False},
}
baseArgs.update(specArgs)
return baseArgs
def getWorkloadArguments():
baseArgs = StdBase.getWorkloadArguments()
reqMgrArgs = StdBase.getWorkloadArgumentsWithReqMgr()
baseArgs.update(reqMgrArgs)
specArgs = {"InputDataset" : {"default" : "/MinimumBias/ComissioningHI-v1/RAW", "type" : str,
"optional" : False, "validate" : dataset,
"attr" : "inputDataset", "null" : False},
"GlobalTag" : {"default" : "GT_DP_V1", "type" : str,
"optional" : False, "validate" : None,
"attr" : "globalTag", "null" : False},
"OpenRunningTimeout" : {"default" : 0, "type" : int,
"optional" : True, "validate" : lambda x : x >= 0,
"attr" : "openRunningTimeout", "null" : False},
"BlockBlacklist" : {"default" : [], "type" : makeList,
"optional" : True, "validate" : lambda x: all([block(y) for y in x]),
"attr" : "blockBlacklist", "null" : False},
"BlockWhitelist" : {"default" : [], "type" : makeList,
"optional" : True, "validate" : lambda x: all([block(y) for y in x]),
"attr" : "blockWhitelist", "null" : False},
"RunBlacklist" : {"default" : [], "type" : makeList,
"optional" : True, "validate" : lambda x: all([int(y) > 0 for y in x]),
"attr" : "runBlacklist", "null" : False},
"RunWhitelist" : {"default" : [], "type" : makeList,
"optional" : True, "validate" : lambda x: all([int(y) > 0 for y in x]),
"attr" : "runWhitelist", "null" : False},
"SplittingAlgo" : {"default" : "EventAwareLumiBased", "type" : str,
"optional" : True, "validate" : lambda x: x in ["EventBased", "LumiBased",
"EventAwareLumiBased", "FileBased"],
"attr" : "procJobSplitAlgo", "null" : False},
"EventsPerJob" : {"default" : None, "type" : int,
"optional" : True, "validate" : lambda x : x > 0,
"attr" : "eventsPerJob", "null" : True},
"LumisPerJob" : {"default" : 8, "type" : int,
"optional" : True, "validate" : lambda x : x > 0,
"attr" : "lumisPerJob", "null" : False},
"FilesPerJob" : {"default" : 1, "type" : int,
"optional" : True, "validate" : lambda x : x > 0,
"attr" : "filesPerJob", "null" : False}
}
baseArgs.update(specArgs)
StdBase.setDefaultArgumentsProperty(baseArgs)
return baseArgs
def getWorkloadArguments():
baseArgs = StdBase.getWorkloadArguments()
specArgs = {"RequestType" : {"default" : "StepChain", "optional" : False},
"GlobalTag" : {"type" : str, "optional" : False},
"CouchURL" : {"type" : str, "optional" : False, "validate" : couchurl},
"CouchDBName" : {"type" : str, "optional" : False,
"validate" : identifier},
"ConfigCacheUrl" : {"type" : str, "optional" : True, "null" : True},
"StepChain" : {"default" : 1, "type" : int,
"optional" : False, "validate" : lambda x: x > 0,
"attr" : "stepChain", "null" : False},
"FirstEvent" : {"default" : 1, "type" : int,
"optional" : True, "validate" : lambda x: x > 0,
"attr" : "firstEvent", "null" : False},
"FirstLumi" : {"default" : 1, "type" : int,
"optional" : True, "validate" : lambda x: x > 0,
"attr" : "firstLumi", "null" : False},
}
baseArgs.update(specArgs)
StdBase.setDefaultArgumentsProperty(baseArgs)
return baseArgs
def getWorkloadArguments():
baseArgs = StdBase.getWorkloadArguments()
specArgs = {"Scenario" : {"default" : "pp", "type" : str,
"optional" : False, "validate" : None,
"attr" : "procScenario", "null" : False},
"GlobalTag" : {"default" : "GR_P_V29::All", "type" : str,
"optional" : False, "validate" : None,
"attr" : "globalTag", "null" : False},
"WriteTiers" : {"default" : ["RECO", "AOD", "DQM", "ALCARECO"],
"type" : makeList, "optional" : False,
"validate" : None,
"attr" : "writeTiers", "null" : False},
"AlcaSkims" : {"default" : ["TkAlCosmics0T","MuAlGlobalCosmics","HcalCalHOCosmics"],
"type" : makeList, "optional" : False,
"validate" : None,
"attr" : "alcaSkims", "null" : False},
"InputDataset" : {"default" : "/Cosmics/Run2012A-v1/RAW", "type" : str,
"optional" : False, "validate" : dataset,
"attr" : "inputDataset", "null" : False},
"PromptSkims" : {"default" : [], "type" : makeList,
"optional" : True, "validate" : None,
"attr" : "promptSkims", "null" : False},
"CouchURL" : {"default" : None, "type" : str,
"optional" : False, "validate" : couchurl,
"attr" : "couchURL", "null" : False},
"CouchDBName" : {"default" : "promptreco_t", "type" : str,
"optional" : False, "validate" : identifier,
"attr" : "couchDBName", "null" : False},
"ConfigCacheUrl" : {"default" : None, "type" : str,
"optional" : True, "validate" : couchurl,
"attr" : "configCacheUrl", "null" : False},
"InitCommand" : {"default" : None, "type" : str,
"optional" : True, "validate" : None,
"attr" : "initCommand", "null" : False},
"EnvPath" : {"default" : None, "type" : str,
"optional" : True, "validate" : None,
"attr" : "envPath", "null" : True},
"BinPath" : {"default" : None, "type" : str,
"optional" : True, "validate" : None,
"attr" : "binPath", "null" : True},
"DoLogCollect" : {"default" : True, "type" : strToBool,
"optional" : True, "validate" : None,
"attr" : "doLogCollect", "null" : False},
"BlockBlacklist" : {"default" : [], "type" : makeList,
"optional" : True, "validate" : lambda x: all([block(y) for y in x]),
"attr" : "blockBlacklist", "null" : False},
"BlockWhitelist" : {"default" : [], "type" : makeList,
"optional" : True, "validate" : lambda x: all([block(y) for y in x]),
"attr" : "blockWhitelist", "null" : False},
"RunBlacklist" : {"default" : [], "type" : makeList,
"optional" : True, "validate" : lambda x: all([int(y) > 0 for y in x]),
"attr" : "runBlacklist", "null" : False},
"RunWhitelist" : {"default" : [], "type" : makeList,
"optional" : True, "validate" : lambda x: all([int(y) > 0 for y in x]),
"attr" : "runWhitelist", "null" : False},
"SplittingAlgo" : {"default" : "EventBased", "type" : str,
"optional" : True, "validate" : lambda x: x in ["EventBased", "LumiBased",
"EventAwareLumiBased", "FileBased"],
"attr" : "procJobSplitAlgo", "null" : False},
"EventsPerJob" : {"default" : 500, "type" : int,
"optional" : True, "validate" : lambda x : x > 0,
"attr" : "eventsPerJob", "null" : False},
"LumisPerJob" : {"default" : 8, "type" : int,
"optional" : True, "validate" : lambda x : x > 0,
"attr" : "lumisPerJob", "null" : False},
"FilesPerJob" : {"default" : 1, "type" : int,
"optional" : True, "validate" : lambda x : x > 0,
"attr" : "filesPerJob", "null" : False},
"SkimSplittingAlgo" : {"default" : "FileBased", "type" : str,
"optional" : True, "validate" : lambda x: x in ["EventBased", "LumiBased",
"EventAwareLumiBased", "FileBased"],
"attr" : "skimJobSplitAlgo", "null" : False},
"SkimEventsPerJob" : {"default" : 500, "type" : int,
"optional" : True, "validate" : lambda x : x > 0,
"attr" : "skimEventsPerJob", "null" : False},
"SkimLumisPerJob" : {"default" : 8, "type" : int,
"optional" : True, "validate" : lambda x : x > 0,
"attr" : "skimLumisPerJob", "null" : False},
"SkimFilesPerJob" : {"default" : 1, "type" : int,
"optional" : True, "validate" : lambda x : x > 0,
"attr" : "skimFilesPerJob", "null" : False},
"BlockCloseDelay" : {"default" : 86400, "type" : int,
"optional" : True, "validate" : lambda x : x > 0,
"attr" : "blockCloseDelay", "null" : False}
}
baseArgs.update(specArgs)
return baseArgs
def getWorkloadArguments():
baseArgs = StdBase.getWorkloadArguments()
specArgs = {
"InputDataset": {
"default": "/MinimumBias/Run2010A-Dec22ReReco_v1/USER",
"type": str,
"optional": False,
"validate": dataset,
"attr": "inputDataset",
"null": False,
},
"GlobalTag": {
"default": "GT_SR_V1:All",
"type": str,
"optional": False,
"validate": None,
"attr": "globalTag",
"null": False,
},
"CmsPath": {
"default": "/tmp",
"type": str,
"optional": False,
"validate": None,
"attr": "cmsPath",
"null": False,
},
"DataTier": {
"default": "USER",
"type": str,
"optional": True,
"validate": None,
"attr": "dataTier",
"null": False,
},
"UnmergedLFNBase": {
"default": "/store/unmerged",
"type": str,
"optional": True,
"validate": None,
"attr": "unmergedLFNBase",
"null": False,
},
"MergedLFNBase": {
"default": "/store/results",
"type": str,
"optional": True,
"validate": None,
"attr": "mergedLFNBase",
"null": False,
},
"MinMergeSize": {
"default": 2 * 1024 * 1024 * 1024,
"type": int,
"optional": True,
"validate": lambda x: x > 0,
"attr": "minMergeSize",
"null": False,
},
"MaxMergeSize": {
"default": 4 * 1024 * 1024 * 1024,
"type": int,
"optional": True,
"validate": lambda x: x > 0,
"attr": "maxMergeSize",
"null": False,
},
"MaxMergeEvents": {
"default": 100000,
"type": int,
"optional": True,
"validate": lambda x: x > 0,
"attr": "maxMergeEvents",
"null": False,
},
"BlockBlacklist": {
"default": [],
"type": makeList,
"optional": True,
"validate": lambda x: all([block(y) for y in x]),
"attr": "blockBlacklist",
"null": False,
},
"BlockWhitelist": {
"default": [],
"type": makeList,
"optional": True,
"validate": lambda x: all([block(y) for y in x]),
"attr": "blockWhitelist",
"null": False,
},
"RunBlacklist": {
"default": [],
"type": makeList,
"optional": True,
"validate": lambda x: all([int(y) > 0 for y in x]),
"attr": "runBlacklist",
"null": False,
},
"RunWhitelist": {
"default": [],
"type": makeList,
"optional": True,
"validate": lambda x: all([int(y) > 0 for y in x]),
"attr": "runWhitelist",
"null": False,
},
}
baseArgs.update(specArgs)
return baseArgs
def getWorkloadArguments():
baseArgs = StdBase.getWorkloadArguments()
specArgs = {"RequestType" : {"default" : "PromptReco", "optional" : True,
"attr" : "requestType"},
"Scenario" : {"default" : None, "type" : str,
"optional" : False, "validate" : None,
"attr" : "procScenario", "null" : False},
"GlobalTag" : {"default" : None, "type" : str,
"optional" : False, "validate" : None,
"attr" : "globalTag", "null" : False},
"ProcessingString": {"default": "", "validate": procstringT0},
"WriteTiers" : {"default" : ["RECO", "AOD", "DQM", "ALCARECO"],
"type" : makeList, "optional" : False,
"validate" : None,
"attr" : "writeTiers", "null" : False},
"AlcaSkims" : {"default" : ["TkAlCosmics0T","MuAlGlobalCosmics","HcalCalHOCosmics"],
"type" : makeList, "optional" : False,
"validate" : None,
"attr" : "alcaSkims", "null" : False},
"InputDataset" : {"default" : "/Cosmics/Run2012A-v1/RAW", "type" : str,
"optional" : False, "validate" : dataset,
"attr" : "inputDataset", "null" : False},
"PhysicsSkims" : {"default" : [], "type" : makeList,
"optional" : True, "validate" : None,
"attr" : "physicsSkims", "null" : False},
"InitCommand" : {"default" : None, "type" : str,
"optional" : True, "validate" : None,
"attr" : "initCommand", "null" : True},
"EnvPath" : {"default" : None, "type" : str,
"optional" : True, "validate" : None,
"attr" : "envPath", "null" : True},
"BinPath" : {"default" : None, "type" : str,
"optional" : True, "validate" : None,
"attr" : "binPath", "null" : True},
"DoLogCollect" : {"default" : True, "type" : strToBool,
"optional" : True, "validate" : None,
"attr" : "doLogCollect", "null" : False},
"BlockBlacklist" : {"default" : [], "type" : makeList,
"optional" : True, "validate" : lambda x: all([block(y) for y in x]),
"attr" : "blockBlacklist", "null" : False},
"BlockWhitelist" : {"default" : [], "type" : makeList,
"optional" : True, "validate" : lambda x: all([block(y) for y in x]),
"attr" : "blockWhitelist", "null" : False},
"RunBlacklist" : {"default" : [], "type" : makeList,
"optional" : True, "validate" : lambda x: all([int(y) > 0 for y in x]),
"attr" : "runBlacklist", "null" : False},
"RunWhitelist" : {"default" : [], "type" : makeList,
"optional" : True, "validate" : lambda x: all([int(y) > 0 for y in x]),
"attr" : "runWhitelist", "null" : False},
"SplittingAlgo" : {"default" : "EventBased", "type" : str,
"optional" : True, "validate" : lambda x: x in ["EventBased", "LumiBased",
"EventAwareLumiBased", "FileBased"],
"attr" : "procJobSplitAlgo", "null" : False},
"EventsPerJob" : {"default" : 500, "type" : int,
"optional" : True, "validate" : lambda x : x > 0,
"attr" : "eventsPerJob", "null" : False},
"LumisPerJob" : {"default" : 8, "type" : int,
"optional" : True, "validate" : lambda x : x > 0,
"attr" : "lumisPerJob", "null" : False},
"FilesPerJob" : {"default" : 1, "type" : int,
"optional" : True, "validate" : lambda x : x > 0,
"attr" : "filesPerJob", "null" : False},
"SkimSplittingAlgo" : {"default" : "FileBased", "type" : str,
"optional" : True, "validate" : lambda x: x in ["EventBased", "LumiBased",
"EventAwareLumiBased", "FileBased"],
"attr" : "skimJobSplitAlgo", "null" : False},
"SkimEventsPerJob" : {"default" : 500, "type" : int,
"optional" : True, "validate" : lambda x : x > 0,
"attr" : "skimEventsPerJob", "null" : False},
"SkimLumisPerJob" : {"default" : 8, "type" : int,
"optional" : True, "validate" : lambda x : x > 0,
"attr" : "skimLumisPerJob", "null" : False},
"SkimFilesPerJob" : {"default" : 1, "type" : int,
"optional" : True, "validate" : lambda x : x > 0,
"attr" : "skimFilesPerJob", "null" : False},
"BlockCloseDelay" : {"default" : 86400, "type" : int,
"optional" : True, "validate" : lambda x : x > 0,
"attr" : "blockCloseDelay", "null" : False}
}
baseArgs.update(specArgs)
# add more optional arguments in case it is created using ReqMgr (not T0 case but should support both)
reqMgrArguments = {"CouchURL" : {"default" : "https://cmsweb.cern.ch/couchdb",
"validate" : couchurl},
"CouchDBName" : {"default" : "reqmgr_config_cache", "type" : str,
"validate" : identifier},
"ConfigCacheUrl" : {"default" :"https://cmsweb.cern.ch/couchdb", "validate" : couchurl},
"ConfigCacheID" : {"optional": True, "null": True},
"CouchWorkloadDBName" : {"default" : "reqmgr_workload_cache", "validate" : identifier},
}
baseArgs.update(reqMgrArguments)
StdBase.setDefaultArgumentsProperty(baseArgs)
return baseArgs
def getWorkloadArguments():
baseArgs = StdBase.getWorkloadArguments()
specArgs = {
"PrimaryDataset": {
"default": "BlackHoleTest",
"type": str,
"optional": False,
"validate": primdataset,
"attr": "inputPrimaryDataset",
"null": False
},
"Seeding": {
"default":
"AutomaticSeeding",
"type":
str,
"optional":
True,
"validate":
lambda x: x in ["ReproducibleSeeding", "AutomaticSeeding"],
"attr":
"seeding",
"null":
False
},
"GlobalTag": {
"default": "GT_MC_V1:All",
"type": str,
"optional": False,
"validate": None,
"attr": "globalTag",
"null": False
},
"ConfigCacheID": {
"default": None,
"type": str,
"optional": False,
"validate": None,
"attr": "configCacheID",
"null": False
},
"CouchURL": {
"default": "http://localhost:5984",
"type": str,
"optional": False,
"validate": couchurl,
"attr": "couchURL",
"null": False
},
"CouchDBName": {
"default": "mc_configcache",
"type": str,
"optional": False,
"validate": identifier,
"attr": "couchDBName",
"null": False
},
"ConfigCacheUrl": {
"default": None,
"type": str,
"optional": True,
"validate": None,
"attr": "configCacheUrl",
"null": False
},
"FilterEfficiency": {
"default": 1.0,
"type": float,
"optional": True,
"validate": lambda x: x > 0.0,
"attr": "filterEfficiency",
"null": False
},
"RequestNumEvents": {
"default": 1000,
"type": int,
"optional": False,
"validate": lambda x: x > 0,
"attr": "requestNumEvents",
"null": False
},
"FirstEvent": {
"default": 1,
"type": int,
"optional": True,
"validate": lambda x: x > 0,
"attr": "firstEvent",
"null": False
},
"FirstLumi": {
"default": 1,
"type": int,
"optional": True,
"validate": lambda x: x > 0,
"attr": "firstLumi",
"null": False
},
"MCPileup": {
"default": None,
"type": str,
"optional": True,
"validate": dataset,
"attr": "mcPileup",
"null": False
},
"DataPileup": {
"default": None,
"type": str,
"optional": True,
"validate": dataset,
"attr": "dataPileup",
"null": False
},
"EventsPerJob": {
"default": None,
"type": int,
"optional": True,
"validate": lambda x: x > 0,
"attr": "eventsPerJob",
"null": True
},
"EventsPerLumi": {
"default": None,
"type": int,
"optional": True,
"validate": lambda x: x > 0,
"attr": "eventsPerLumi",
"null": True
},
"LheInputFiles": {
"default": False,
"type": strToBool,
"optional": True,
"validate": None,
"attr": "lheInputFiles",
"null": False
}
}
baseArgs.update(specArgs)
return baseArgs
def getWorkloadArguments():
baseArgs = StdBase.getWorkloadArguments()
del baseArgs["AcquisitionEra"]
reqMgrArgs = StdBase.getWorkloadArgumentsWithReqMgr()
baseArgs.update(reqMgrArgs)
specArgs = {"RequestType" : {"default" : "Analysis", "optional" : True,
"attr" : "requestType"},
"userSandbox" : {"default" : "http://home.fnal.gov/~ewv/agent.tgz",
"type" : str,
"optional" : True, "validate" : None,
"attr" : "userSandbox", "null" : True},
"userFiles" : {"default" : [], "type" : makeList,
"optional" : True, "validate" : None,
"attr" : "userFiles", "null" : False},
"OutputFiles" : {"default" : [], "type" : makeList,
"optional" : True, "validate" : None,
"attr" : "outputFiles", "null" : False},
"Username" : {"default" : "mmascher", "type" : str,
"optional" : True, "validate" : None,
"attr" : "userName", "null" : False},
"SaveLogs" : {"default" : True, "type" : strToBool,
"optional" : True, "validate" : None,
"attr" : "saveLogs", "null" : False},
"CouchURL" : {"default" : "http://localhost:5984", "type" : str,
"optional" : False, "validate" : couchurl,
"attr" : "couchURL", "null" : False},
"CouchDBName" : {"default" : "analysis_reqmgr_config_cache", "type" : str,
"optional" : False, "validate" : identifier,
"attr" : "couchDBName", "null" : False},
"AnalysisConfigCacheDoc" : {"default" : None, "type" : str,
"optional" : False, "validate" : None,
"attr" : "configCacheID", "null" : False},
"ConfigCacheUrl" : {"default" : None, "type" : str,
"optional" : True, "validate" : None,
"attr" : "configCacheUrl", "null" : False},
"PublishDataName" : {"default" : None, "type" : str,
"optional" : True, "validate" : None,
"attr" : "acquisitionEra", "null" : False},
"GlobalTag" : {"default" : "GT_AN_V1:All", "type" : str,
"optional" : False, "validate" : None,
"attr" : "globalTag", "null" : False},
"InputDataset" : {"default" : "/RelValProdTTbar/JobRobot-MC_3XY_V24_JobRobot-v1/GEN-SIM-DIGI-RECO",
"type" : str, "optional" : False,
"validate" : None, "attr" : "inputDataset",
"null" : False},
"OriginalRequestName" : {"default" : None, "type" : str,
"optional" : True, "validate" : None,
"attr" : "origRequest", "null" : False},
"BlockBlacklist" : {"default" : [], "type" : makeList,
"optional" : True, "validate" : lambda x: all([block(y) for y in x]),
"attr" : "blockBlacklist", "null" : False},
"BlockWhitelist" : {"default" : [], "type" : makeList,
"optional" : True, "validate" : lambda x: all([block(y) for y in x]),
"attr" : "blockWhitelist", "null" : False},
"RunBlacklist" : {"default" : [], "type" : makeList,
"optional" : True, "validate" : lambda x: all([int(y) > 0 for y in x]),
"attr" : "runBlacklist", "null" : False},
"RunWhitelist" : {"default" : [], "type" : makeList,
"optional" : True, "validate" : lambda x: all([int(y) > 0 for y in x]),
"attr" : "runWhitelist", "null" : False},
"asyncDest" : {"default" : "T1_US_FNAL_Buffer", "type" : str,
"optional" : True, "validate" : None,
"attr" : "asyncDest", "null" : False},
"ACDCUrl" : {"default" : "http://cmsweb-testbed.cern.ch/couchdb",
"type" : str,
"optional" : True, "validate" : couchurl,
"attr" : "ACDCURL", "null" : False},
"ACDCDBName" : {"default" : "acdcserver", "type" : str,
"optional" : True, "validate" : identifier,
"attr" : "ACDCDBName", "null" : False},
"Runs" : {"default" : None, "type" : makeList,
"optional" : True, "validate" : None,
"attr" : "Runs", "null" : False},
"Lumis" : {"default" : None, "type" : makeList,
"optional" : True, "validate" : None,
"attr" : "Lumis", "null" : False},
"Submission" : {"default" : 1, "type" : int,
"optional" : True, "validate" : None,
"attr" : "Submission", "null" : False},
"JobSplitAlgo" : {"default" : "EventBased", "type" : str,
"optional" : True, "validate" : None,
"attr" : "analysisJobSplitAlgo", "null" : False},
"EventsPerJob" : {"default" : 1000, "type" : int,
"optional" : True, "validate" : lambda x : x > 0,
"attr" : "eventsPerJob", "null" : False},
"LumisPerJob" : {"default" : 8, "type" : int,
"optional" : True, "validate" : lambda x : x > 0,
"attr" : "lumisPerJob", "null" : False}, }
baseArgs.update(specArgs)
StdBase.setDefaultArgumentsProperty(baseArgs)
return baseArgs
def getWorkloadArguments():
baseArgs = StdBase.getWorkloadArguments()
del baseArgs["AcquisitionEra"]
reqMgrArgs = StdBase.getWorkloadArgumentsWithReqMgr()
baseArgs.update(reqMgrArgs)
specArgs = {
"RequestType": {
"default": "Analysis",
"optional": True,
"attr": "requestType"
},
"userSandbox": {
"default": "http://home.fnal.gov/~ewv/agent.tgz",
"type": str,
"optional": True,
"validate": None,
"attr": "userSandbox",
"null": True
},
"userFiles": {
"default": [],
"type": makeList,
"optional": True,
"validate": None,
"attr": "userFiles",
"null": False
},
"OutputFiles": {
"default": [],
"type": makeList,
"optional": True,
"validate": None,
"attr": "outputFiles",
"null": False
},
"Username": {
"default": "mmascher",
"type": str,
"optional": True,
"validate": None,
"attr": "userName",
"null": False
},
"SaveLogs": {
"default": True,
"type": strToBool,
"optional": True,
"validate": None,
"attr": "saveLogs",
"null": False
},
"CouchURL": {
"default": "http://localhost:5984",
"type": str,
"optional": False,
"validate": couchurl,
"attr": "couchURL",
"null": False
},
"CouchDBName": {
"default": "analysis_reqmgr_config_cache",
"type": str,
"optional": False,
"validate": identifier,
"attr": "couchDBName",
"null": False
},
"AnalysisConfigCacheDoc": {
"default": None,
"type": str,
"optional": False,
"validate": None,
"attr": "configCacheID",
"null": False
},
"ConfigCacheUrl": {
"default": None,
"type": str,
"optional": True,
"validate": None,
"attr": "configCacheUrl",
"null": False
},
"PublishDataName": {
"default": None,
"type": str,
"optional": True,
"validate": None,
"attr": "acquisitionEra",
"null": False
},
"GlobalTag": {
"default": "GT_AN_V1:All",
"type": str,
"optional": False,
"validate": None,
"attr": "globalTag",
"null": False
},
"InputDataset": {
"default":
"/RelValProdTTbar/JobRobot-MC_3XY_V24_JobRobot-v1/GEN-SIM-DIGI-RECO",
"type": str,
"optional": False,
"validate": None,
"attr": "inputDataset",
"null": False
},
"OriginalRequestName": {
"default": None,
"type": str,
"optional": True,
"validate": None,
"attr": "origRequest",
"null": False
},
"BlockBlacklist": {
"default": [],
"type": makeList,
"optional": True,
"validate": lambda x: all([block(y) for y in x]),
"attr": "blockBlacklist",
"null": False
},
"BlockWhitelist": {
"default": [],
"type": makeList,
"optional": True,
"validate": lambda x: all([block(y) for y in x]),
"attr": "blockWhitelist",
"null": False
},
"RunBlacklist": {
"default": [],
"type": makeList,
"optional": True,
"validate": lambda x: all([int(y) > 0 for y in x]),
"attr": "runBlacklist",
"null": False
},
"RunWhitelist": {
"default": [],
"type": makeList,
"optional": True,
"validate": lambda x: all([int(y) > 0 for y in x]),
"attr": "runWhitelist",
"null": False
},
"asyncDest": {
"default": "T1_US_FNAL_Buffer",
"type": str,
"optional": True,
"validate": None,
"attr": "asyncDest",
"null": False
},
"ACDCUrl": {
"default": "http://cmsweb-testbed.cern.ch/couchdb",
"type": str,
"optional": True,
"validate": couchurl,
"attr": "ACDCURL",
"null": False
},
"ACDCDBName": {
"default": "acdcserver",
"type": str,
"optional": True,
"validate": identifier,
"attr": "ACDCDBName",
"null": False
},
"Runs": {
"default": None,
"type": makeList,
"optional": True,
"validate": None,
"attr": "Runs",
"null": False
},
"Lumis": {
"default": None,
"type": makeList,
"optional": True,
"validate": None,
"attr": "Lumis",
"null": False
},
"Submission": {
"default": 1,
"type": int,
"optional": True,
"validate": None,
"attr": "Submission",
"null": False
},
"JobSplitAlgo": {
"default": "EventBased",
"type": str,
"optional": True,
"validate": None,
"attr": "analysisJobSplitAlgo",
"null": False
},
"EventsPerJob": {
"default": 1000,
"type": int,
"optional": True,
"validate": lambda x: x > 0,
"attr": "eventsPerJob",
"null": False
},
"LumisPerJob": {
"default": 8,
"type": int,
"optional": True,
"validate": lambda x: x > 0,
"attr": "lumisPerJob",
"null": False
},
}
baseArgs.update(specArgs)
StdBase.setDefaultArgumentsProperty(baseArgs)
return baseArgs
def getWorkloadArguments():
baseArgs = StdBase.getWorkloadArguments()
specArgs = {
"GlobalTag": {
"default": "GT_TC_V1",
"type": str,
"optional": False,
"validate": None,
"attr": "globalTag",
"null": False
},
"CouchURL": {
"default": "http://localhost:5984",
"type": str,
"optional": False,
"validate": couchurl,
"attr": "couchURL",
"null": False
},
"CouchDBName": {
"default": "dp_configcache",
"type": str,
"optional": False,
"validate": identifier,
"attr": "couchDBName",
"null": False
},
"ConfigCacheUrl": {
"default": None,
"type": str,
"optional": True,
"validate": None,
"attr": "configCacheUrl",
"null": True
},
"IgnoredOutputModules": {
"default": [],
"type": makeList,
"optional": True,
"validate": None,
"attr": "ignoredOutputModules",
"null": False
},
"TaskChain": {
"default": 1,
"type": int,
"optional": False,
"validate": lambda x: x > 0,
"attr": "taskChain",
"null": False
},
"FirstEvent": {
"default": 1,
"type": int,
"optional": True,
"validate": lambda x: x > 0,
"attr": "firstEvent",
"null": False
},
"FirstLumi": {
"default": 1,
"type": int,
"optional": True,
"validate": lambda x: x > 0,
"attr": "firstLumi",
"null": False
}
}
baseArgs.update(specArgs)
return baseArgs
def getWorkloadArguments():
baseArgs = StdBase.getWorkloadArguments()
reqMgrArgs = StdBase.getWorkloadArgumentsWithReqMgr()
baseArgs.update(reqMgrArgs)
specArgs = {
"InputDataset": {
"default": "/MinimumBias/ComissioningHI-v1/RAW",
"type": str,
"optional": False,
"validate": dataset,
"attr": "inputDataset",
"null": False
},
"GlobalTag": {
"default": "GT_DP_V1",
"type": str,
"optional": False,
"validate": None,
"attr": "globalTag",
"null": False
},
"OpenRunningTimeout": {
"default": 0,
"type": int,
"optional": True,
"validate": lambda x: x >= 0,
"attr": "openRunningTimeout",
"null": False
},
"BlockBlacklist": {
"default": [],
"type": makeList,
"optional": True,
"validate": lambda x: all([block(y) for y in x]),
"attr": "blockBlacklist",
"null": False
},
"BlockWhitelist": {
"default": [],
"type": makeList,
"optional": True,
"validate": lambda x: all([block(y) for y in x]),
"attr": "blockWhitelist",
"null": False
},
"RunBlacklist": {
"default": [],
"type": makeList,
"optional": True,
"validate": lambda x: all([int(y) > 0 for y in x]),
"attr": "runBlacklist",
"null": False
},
"RunWhitelist": {
"default": [],
"type": makeList,
"optional": True,
"validate": lambda x: all([int(y) > 0 for y in x]),
"attr": "runWhitelist",
"null": False
},
"SplittingAlgo": {
"default":
"EventAwareLumiBased",
"type":
str,
"optional":
True,
"validate":
lambda x: x in [
"EventBased", "LumiBased", "EventAwareLumiBased",
"FileBased"
],
"attr":
"procJobSplitAlgo",
"null":
False
},
"EventsPerJob": {
"default": None,
"type": int,
"optional": True,
"validate": lambda x: x > 0,
"attr": "eventsPerJob",
"null": True
},
"LumisPerJob": {
"default": 8,
"type": int,
"optional": True,
"validate": lambda x: x > 0,
"attr": "lumisPerJob",
"null": False
},
"FilesPerJob": {
"default": 1,
"type": int,
"optional": True,
"validate": lambda x: x > 0,
"attr": "filesPerJob",
"null": False
}
}
baseArgs.update(specArgs)
StdBase.setDefaultArgumentsProperty(baseArgs)
return baseArgs
def getWorkloadArguments():
baseArgs = StdBase.getWorkloadArguments()
specArgs = {
"RequestType": {
"default": "PromptReco",
"optional": True,
"attr": "requestType"
},
"Scenario": {
"default": None,
"type": str,
"optional": False,
"validate": None,
"attr": "procScenario",
"null": False
},
"GlobalTag": {
"default": None,
"type": str,
"optional": False,
"validate": None,
"attr": "globalTag",
"null": False
},
"ProcessingString": {
"default": "",
"validate": procstringT0
},
"WriteTiers": {
"default": ["RECO", "AOD", "DQM", "ALCARECO"],
"type": makeList,
"optional": False,
"validate": None,
"attr": "writeTiers",
"null": False
},
"AlcaSkims": {
"default":
["TkAlCosmics0T", "MuAlGlobalCosmics", "HcalCalHOCosmics"],
"type":
makeList,
"optional":
False,
"validate":
None,
"attr":
"alcaSkims",
"null":
False
},
"InputDataset": {
"default": "/Cosmics/Run2012A-v1/RAW",
"type": str,
"optional": False,
"validate": dataset,
"attr": "inputDataset",
"null": False
},
"PhysicsSkims": {
"default": [],
"type": makeList,
"optional": True,
"validate": None,
"attr": "physicsSkims",
"null": False
},
"InitCommand": {
"default": None,
"type": str,
"optional": True,
"validate": None,
"attr": "initCommand",
"null": True
},
"EnvPath": {
"default": None,
"type": str,
"optional": True,
"validate": None,
"attr": "envPath",
"null": True
},
"BinPath": {
"default": None,
"type": str,
"optional": True,
"validate": None,
"attr": "binPath",
"null": True
},
"DoLogCollect": {
"default": True,
"type": strToBool,
"optional": True,
"validate": None,
"attr": "doLogCollect",
"null": False
},
"BlockBlacklist": {
"default": [],
"type": makeList,
"optional": True,
"validate": lambda x: all([block(y) for y in x]),
"attr": "blockBlacklist",
"null": False
},
"BlockWhitelist": {
"default": [],
"type": makeList,
"optional": True,
"validate": lambda x: all([block(y) for y in x]),
"attr": "blockWhitelist",
"null": False
},
"RunBlacklist": {
"default": [],
"type": makeList,
"optional": True,
"validate": lambda x: all([int(y) > 0 for y in x]),
"attr": "runBlacklist",
"null": False
},
"RunWhitelist": {
"default": [],
"type": makeList,
"optional": True,
"validate": lambda x: all([int(y) > 0 for y in x]),
"attr": "runWhitelist",
"null": False
},
"SplittingAlgo": {
"default":
"EventBased",
"type":
str,
"optional":
True,
"validate":
lambda x: x in [
"EventBased", "LumiBased", "EventAwareLumiBased",
"FileBased"
],
"attr":
"procJobSplitAlgo",
"null":
False
},
"EventsPerJob": {
"default": 500,
"type": int,
"optional": True,
"validate": lambda x: x > 0,
"attr": "eventsPerJob",
"null": False
},
"LumisPerJob": {
"default": 8,
"type": int,
"optional": True,
"validate": lambda x: x > 0,
"attr": "lumisPerJob",
"null": False
},
"FilesPerJob": {
"default": 1,
"type": int,
"optional": True,
"validate": lambda x: x > 0,
"attr": "filesPerJob",
"null": False
},
"SkimSplittingAlgo": {
"default":
"FileBased",
"type":
str,
"optional":
True,
"validate":
lambda x: x in [
"EventBased", "LumiBased", "EventAwareLumiBased",
"FileBased"
],
"attr":
"skimJobSplitAlgo",
"null":
False
},
"SkimEventsPerJob": {
"default": 500,
"type": int,
"optional": True,
"validate": lambda x: x > 0,
"attr": "skimEventsPerJob",
"null": False
},
"SkimLumisPerJob": {
"default": 8,
"type": int,
"optional": True,
"validate": lambda x: x > 0,
"attr": "skimLumisPerJob",
"null": False
},
"SkimFilesPerJob": {
"default": 1,
"type": int,
"optional": True,
"validate": lambda x: x > 0,
"attr": "skimFilesPerJob",
"null": False
},
"BlockCloseDelay": {
"default": 86400,
"type": int,
"optional": True,
"validate": lambda x: x > 0,
"attr": "blockCloseDelay",
"null": False
}
}
baseArgs.update(specArgs)
# add more optional arguments in case it is created using ReqMgr (not T0 case but should support both)
reqMgrArguments = {
"CouchURL": {
"default": "https://cmsweb.cern.ch/couchdb",
"validate": couchurl
},
"CouchDBName": {
"default": "reqmgr_config_cache",
"type": str,
"validate": identifier
},
"ConfigCacheUrl": {
"default": "https://cmsweb.cern.ch/couchdb",
"validate": couchurl
},
"ConfigCacheID": {
"optional": True,
"null": True
},
"CouchWorkloadDBName": {
"default": "reqmgr_workload_cache",
"validate": identifier
},
}
baseArgs.update(reqMgrArguments)
StdBase.setDefaultArgumentsProperty(baseArgs)
return baseArgs
def getWorkloadArguments():
baseArgs = StdBase.getWorkloadArguments()
specArgs = {
"InputDataset": {
"default": "/MinimumBias/ComissioningHI-v1/RAW",
"type": str,
"optional": False,
"validate": dataset,
"attr": "inputDataset",
"null": False
},
"GlobalTag": {
"default": "GT_DP_V1",
"type": str,
"optional": False,
"validate": None,
"attr": "globalTag",
"null": False
},
"CouchURL": {
"default": "http://localhost:5984",
"type": str,
"optional": False,
"validate": couchurl,
"attr": "couchURL",
"null": False
},
"CouchDBName": {
"default": "dp_configcache",
"type": str,
"optional": False,
"validate": identifier,
"attr": "couchDBName",
"null": False
},
"ConfigCacheUrl": {
"default": None,
"type": str,
"optional": True,
"validate": None,
"attr": "configCacheUrl",
"null": True
},
"OpenRunningTimeout": {
"default": 0,
"type": int,
"optional": True,
"validate": lambda x: x >= 0,
"attr": "openRunningTimeout",
"null": False
},
"BlockBlacklist": {
"default": [],
"type": makeList,
"optional": True,
"validate": lambda x: all([block(y) for y in x]),
"attr": "blockBlacklist",
"null": False
},
"BlockWhitelist": {
"default": [],
"type": makeList,
"optional": True,
"validate": lambda x: all([block(y) for y in x]),
"attr": "blockWhitelist",
"null": False
},
"RunBlacklist": {
"default": [],
"type": makeList,
"optional": True,
"validate": lambda x: all([int(y) > 0 for y in x]),
"attr": "runBlacklist",
"null": False
},
"RunWhitelist": {
"default": [],
"type": makeList,
"optional": True,
"validate": lambda x: all([int(y) > 0 for y in x]),
"attr": "runWhitelist",
"null": False
},
"SplittingAlgo": {
"default":
"EventAwareLumiBased",
"type":
str,
"optional":
True,
"validate":
lambda x: x in [
"EventBased", "LumiBased", "EventAwareLumiBased",
"FileBased"
],
"attr":
"procJobSplitAlgo",
"null":
False
},
"EventsPerJob": {
"default": None,
"type": int,
"optional": True,
"validate": lambda x: x > 0,
"attr": "eventsPerJob",
"null": False
},
"LumisPerJob": {
"default": 8,
"type": int,
"optional": True,
"validate": lambda x: x > 0,
"attr": "lumisPerJob",
"null": False
},
"FilesPerJob": {
"default": 1,
"type": int,
"optional": True,
"validate": lambda x: x > 0,
"attr": "filesPerJob",
"null": False
}
}
baseArgs.update(specArgs)
return baseArgs
def getWorkloadArguments():
baseArgs = StdBase.getWorkloadArguments()
specArgs = {"Scenario" : {"default" : None, "type" : str,
"optional" : False, "validate" : None,
"attr" : "procScenario", "null" : False},
"GlobalTag" : {"default" : None, "type" : str,
"optional" : False, "validate" : None,
"attr" : "globalTag", "null" : False},
"WriteTiers" : {"default" : ["RECO", "AOD", "DQM", "ALCARECO"],
"type" : makeList, "optional" : False,
"validate" : None,
"attr" : "writeTiers", "null" : False},
"AlcaSkims" : {"default" : ["TkAlCosmics0T","MuAlGlobalCosmics","HcalCalHOCosmics"],
"type" : makeList, "optional" : False,
"validate" : None,
"attr" : "alcaSkims", "null" : False},
"InputDataset" : {"default" : "/Cosmics/Run2012A-v1/RAW", "type" : str,
"optional" : False, "validate" : dataset,
"attr" : "inputDataset", "null" : False},
"PromptSkims" : {"default" : [], "type" : makeList,
"optional" : True, "validate" : None,
"attr" : "promptSkims", "null" : False},
"CouchURL" : {"default" : None, "type" : str,
"optional" : False, "validate" : couchurl,
"attr" : "couchURL", "null" : False},
"CouchDBName" : {"default" : "promptreco_t", "type" : str,
"optional" : True, "validate" : identifier,
"attr" : "couchDBName", "null" : False},
"ConfigCacheUrl" : {"default" : None, "type" : str,
"optional" : True, "validate" : couchurl,
"attr" : "configCacheUrl", "null" : False},
"InitCommand" : {"default" : None, "type" : str,
"optional" : True, "validate" : None,
"attr" : "initCommand", "null" : False},
"EnvPath" : {"default" : None, "type" : str,
"optional" : True, "validate" : None,
"attr" : "envPath", "null" : True},
"BinPath" : {"default" : None, "type" : str,
"optional" : True, "validate" : None,
"attr" : "binPath", "null" : True},
"DoLogCollect" : {"default" : True, "type" : strToBool,
"optional" : True, "validate" : None,
"attr" : "doLogCollect", "null" : False},
"BlockBlacklist" : {"default" : [], "type" : makeList,
"optional" : True, "validate" : lambda x: all([block(y) for y in x]),
"attr" : "blockBlacklist", "null" : False},
"BlockWhitelist" : {"default" : [], "type" : makeList,
"optional" : True, "validate" : lambda x: all([block(y) for y in x]),
"attr" : "blockWhitelist", "null" : False},
"RunBlacklist" : {"default" : [], "type" : makeList,
"optional" : True, "validate" : lambda x: all([int(y) > 0 for y in x]),
"attr" : "runBlacklist", "null" : False},
"RunWhitelist" : {"default" : [], "type" : makeList,
"optional" : True, "validate" : lambda x: all([int(y) > 0 for y in x]),
"attr" : "runWhitelist", "null" : False},
"SplittingAlgo" : {"default" : "EventBased", "type" : str,
"optional" : True, "validate" : lambda x: x in ["EventBased", "LumiBased",
"EventAwareLumiBased", "FileBased"],
"attr" : "procJobSplitAlgo", "null" : False},
"EventsPerJob" : {"default" : 500, "type" : int,
"optional" : True, "validate" : lambda x : x > 0,
"attr" : "eventsPerJob", "null" : False},
"LumisPerJob" : {"default" : 8, "type" : int,
"optional" : True, "validate" : lambda x : x > 0,
"attr" : "lumisPerJob", "null" : False},
"FilesPerJob" : {"default" : 1, "type" : int,
"optional" : True, "validate" : lambda x : x > 0,
"attr" : "filesPerJob", "null" : False},
"SkimSplittingAlgo" : {"default" : "FileBased", "type" : str,
"optional" : True, "validate" : lambda x: x in ["EventBased", "LumiBased",
"EventAwareLumiBased", "FileBased"],
"attr" : "skimJobSplitAlgo", "null" : False},
"SkimEventsPerJob" : {"default" : 500, "type" : int,
"optional" : True, "validate" : lambda x : x > 0,
"attr" : "skimEventsPerJob", "null" : False},
"SkimLumisPerJob" : {"default" : 8, "type" : int,
"optional" : True, "validate" : lambda x : x > 0,
"attr" : "skimLumisPerJob", "null" : False},
"SkimFilesPerJob" : {"default" : 1, "type" : int,
"optional" : True, "validate" : lambda x : x > 0,
"attr" : "skimFilesPerJob", "null" : False},
"BlockCloseDelay" : {"default" : 86400, "type" : int,
"optional" : True, "validate" : lambda x : x > 0,
"attr" : "blockCloseDelay", "null" : False}
}
baseArgs.update(specArgs)
return baseArgs
