def RunCheckMate(parserDict):
"""
Run CheckMATE using the parameters given in parser.
:param parser: ConfigParser object with all the parameters needed.
"""
t0 = time.time()
parser = ConfigParserExt()
parser.read_dict(parserDict)
pars = parser.toDict(raw=False)["options"]
outputFolder = os.path.abspath(
parser.get("CheckMateParameters", "OutputDirectory"))
resultFolder = os.path.join(outputFolder,
parser.get("CheckMateParameters", "Name"))
if os.path.isdir(resultFolder):
logger.info("Results folder %s found." % resultFolder)
if parser.get("CheckMateParameters", "OutputExists") == 'overwrite':
logger.info("Overwriting")
shutil.rmtree(resultFolder)
else:
logger.info("Skipping" % resultFolder)
return "---- %s skipped" % resultFolder
cardFile = getCheckMateCard(parser)
logger.debug('Steering card %s created' % cardFile)
#Create output dirs, if do not exist:
try:
os.makedirs(outputFolder)
except:
pass
#Run CheckMate
checkmatePath = os.path.abspath(pars['checkmateFolder'])
checkmateBin = os.path.join(checkmatePath, 'bin')
logger.info('Running checkmate with steering card: %s ' % cardFile)
logger.debug('Running: python2 ./CheckMATE %s at %s' %
(cardFile, checkmateBin))
run = subprocess.Popen('python2 ./CheckMATE %s' % (cardFile),
shell=True,
stdout=subprocess.PIPE,
stderr=subprocess.PIPE,
cwd=checkmateBin)
output, errorMsg = run.communicate()
logger.debug('CheckMATE error:\n %s \n' % errorMsg)
logger.debug('CheckMATE output:\n %s \n' % output)
os.remove(cardFile)
logger.info("Done in %3.2f min" % ((time.time() - t0) / 60.))
#Remove parton level events:
if pars['cleanUp'] is True:
mg5folder = os.path.join(resultFolder, 'mg5amcatnlo')
if os.path.isdir(mg5folder):
logger.debug('Removing data from: %s \n' % mg5folder)
for f in os.listdir(mg5folder):
file_path = os.path.join(mg5folder, f)
if os.path.isdir(file_path):
shutil.rmtree(file_path)
analysisfolder = os.path.join(resultFolder, 'analysis')
if os.path.isfile(
os.path.join(analysisfolder,
'analysisstdout_atlas_1712_02118_ew.log')):
os.remove(
os.path.join(analysisfolder,
'analysisstdout_atlas_1712_02118_ew.log'))
now = datetime.datetime.now()
return "Finished running CheckMATE at %s" % (
now.strftime("%Y-%m-%d %H:%M"))
pool = multiprocessing.Pool(processes=ncpus)
children = []
#Loop over model parameters and submit jobs
inputFiles = parser.get("PythiaOptions", "inputFile")
if os.path.isfile(inputFiles):
inputFiles = [inputFiles]
elif os.path.isdir(inputFiles):
inputFiles = glob.glob(inputFiles + '/*.slha')
else:
logger.error('Input %s not found' % inputFiles)
sys.exit()
for infile in inputFiles:
newParser = ConfigParserExt()
newParser.read_dict(parser.toDict())
newParser.set("PythiaOptions", "inputFile", infile)
newParser.set("PythiaOptions", "pythiaout",
os.path.basename(infile).replace('.slha', '.fifo'))
newParser.set(
"RivetOptions", "rivetout", './yodaFiles/' +
os.path.basename(infile).replace('.slha', '.yoda'))
parserDict = newParser.toDict(
raw=False) #Must convert to dictionary for pickling
p = pool.apply_async(runAll, args=(parserDict, ))
children.append(p)
if len(children) == 1:
#Compile pythia code just once:
if parser.get("PythiaOptions", 'execfile') != 'None':
os.system("make %s" % parser.get("PythiaOptions", 'execfile'))
time.sleep(
def main(parfile, verbose):
"""
Submit parallel jobs using the parameter file.
:param parfile: name of the parameter file.
:param verbose: level of debugging messages.
"""
level = args.verbose.lower()
levels = {
"debug": logging.DEBUG,
"info": logging.INFO,
"warn": logging.WARNING,
"warning": logging.WARNING,
"error": logging.ERROR
}
if not level in levels:
logger.error("Unknown log level ``%s'' supplied!" % level)
sys.exit()
logger.setLevel(level=levels[level])
parser = ConfigParserExt()
ret = parser.read(parfile)
if ret == []:
logger.error("No such file or directory: '%s'" % parfile)
sys.exit()
if not parser.has_option('options', 'input'):
logger.error("An input file or folder must be defined.")
sys.exit()
else:
inputF = parser.get('options', 'input')
if os.path.isfile(inputF):
inputFiles = [os.path.abspath(inputF)]
elif "*" in inputF:
inputFiles = [os.path.abspath(f) for f in glob.glob(inputF)]
elif os.path.isdir(inputF):
inputFiles = [
os.path.abspath(os.path.join(inputF, f))
for f in os.listdir(inputF)
if os.path.isfile(os.path.join(inputF, f))
]
else:
logger.error("Input format %s not accepted" % inputF)
sys.exit()
parserList = []
for f in inputFiles:
newParser = ConfigParserExt()
newParser.read_dict(parser.toDict(raw=True))
newParser.set("CheckMateParameters", "SLHAFile", f)
newParser.set("CheckMateParameters", "Name",
os.path.splitext(os.path.basename(f))[0])
newParser.set(
"CheckMateParameters", "OutputDirectory",
os.path.abspath(
parser.get("CheckMateParameters", "OutputDirectory")))
#Get tags of processes:
processTags = [
tag for tag in newParser.sections() if
(tag.lower() != 'options' and tag.lower() != 'checkmateparameters')
]
#Get xsec dictionary:
useSLHA = False
unit = 'PB'
xsecDict = {}
if newParser.has_option("options", "xsecUnit"):
unit = newParser.get("options", "xsecUnit")
if newParser.has_option("options", "useSLHAxsecs"):
useSLHA = newParser.get("options", "useSLHAxsecs")
if not isinstance(useSLHA, dict):
logger.error(
"useSLHAxsecs should be defined as dictionary with a key for each CheckMate process."
)
sys.exit()
xsecsAll = pyslha.readSLHAFile(f).xsections
for pTag, xsecTuple in useSLHA.items():
if not xsecTuple in xsecsAll: continue
xsecs = xsecsAll[xsecTuple].xsecs
xsecs = sorted(xsecs,
key=lambda xsec: xsec.qcd_order,
reverse=True)
xsecDict[pTag] = xsecs[0]
for pTag in processTags:
pName = newParser.get(pTag, "Name")
newParser.set(pTag, "MGparam", f)
if useSLHA:
if pTag in xsecDict:
newParser.set(pTag, "XSect",
"%1.5g %s" % (xsecDict[pTag].value, unit))
if pName in xsecDict:
newParser.set(pTag, "XSect",
"%1.5g %s" % (xsecDict[pName].value, unit))
parserList.append(newParser)
ncpus = int(parser.get("options", "ncpu"))
if ncpus < 0:
ncpus = multiprocessing.cpu_count()
ncpus = min(ncpus, len(parserList))
pool = multiprocessing.Pool(processes=ncpus)
children = []
#Loop over parsers and submit jobs
logger.info("Submitting %i jobs over %i cores" % (len(parserList), ncpus))
for newParser in parserList:
logger.debug("Submitting job for file %s" %
(newParser.get("CheckMateParameters", "SLHAFile")))
parserDict = newParser.toDict(
raw=False) #Must convert to dictionary for pickling
p = pool.apply_async(RunCheckMate, args=(parserDict, ))
children.append(p)
time.sleep(10)
#Wait for jobs to finish:
output = [p.get() for p in children]
for out in output:
print(out)
def testConfigParserWrapper(self):
parFile = 'test.ini'
parser = ConfigParserExt()
parser.read(parFile)
rawDict = {
'MadGraphPars': {
'processFolder': 'outputDir/MG5_output/proc-littleHiggs',
'ncores': '1',
'runcard': 'inputCards/run_card.dat',
'paramcard': 'inputCards/param_card-littleHiggs.dat',
'mg5out':
'"outputDir/MG5_output/MHd_%.1f_%iTeV" %(${MadGraphSet:MHd},int((${MadGraphSet:ebeam1}+${MadGraphSet:ebeam2})/1000.))',
'MG5path': 'MG5'
},
'slhaCreator': {
'inputFile':
"${MadGraphPars:mg5out}/Events/run_01/unweighted_events.lhe.gz",
'slhaout':
'"MHd_%.1f_%iTeV.slha" %(${MadGraphSet:MHd},int((${MadGraphSet:ebeam1}+${MadGraphSet:ebeam2})/1000.))',
'outputFolder': "'./'"
},
'options': {
'runSlhaCreator': 'True',
'runMG': 'True',
'computeXsecsFor': '[8880001, 8880002]',
'ncpu': '-1',
'cleanOutFolders': 'True',
'modelFolder': 'UFO_LittleHiggs',
'computeWidths': 'all --body_decay=2'
},
'MadGraphSet': {
'MHd': '2000.0',
'ebeam2': '${ebeam1}',
'ebeam1': '4000',
'MHu': '${MHd}/2.',
'MHdd': '${MHu}+50',
'MHe': '${options:computeXsecsFor}[0]',
'Mhve': '${MadGraphSet:MHe}*sqrt(4.)'
}
}
valDict = {
'MadGraphPars': {
'processFolder': 'outputDir/MG5_output/proc-littleHiggs',
'ncores': 1,
'runcard': 'inputCards/run_card.dat',
'paramcard': 'inputCards/param_card-littleHiggs.dat',
'mg5out': 'outputDir/MG5_output/MHd_2000.0_8TeV',
'MG5path': 'MG5'
},
'slhaCreator': {
'inputFile':
'outputDir/MG5_output/MHd_2000.0_8TeV/Events/run_01/unweighted_events.lhe.gz',
'slhaout': 'MHd_2000.0_8TeV.slha',
'outputFolder': './'
},
'options': {
'runSlhaCreator': True,
'runMG': True,
'computeXsecsFor': [8880001, 8880002],
'ncpu': -1,
'cleanOutFolders': True,
'modelFolder': 'UFO_LittleHiggs',
'computeWidths': 'all --body_decay=2'
},
'MadGraphSet': {
'MHd': 2000.0,
'ebeam2': 4000,
'ebeam1': 4000,
'MHu': 1000.0,
'MHdd': 1050.0,
'MHe': 8880001,
'Mhve': 17760002.0
}
}
newDict = parser.toDict(raw=True)
oldDict = rawDict
# newDict = parser.toDict(raw=False)
# oldDict = valDict
for s in newDict:
for opt in newDict[s]:
if newDict[s][opt] != oldDict[s][opt]:
print(s, opt)
print('\t', newDict[s][opt], oldDict[s][opt])
# break
self.assertEqual(parser.toDict(raw=True), rawDict)
self.assertEqual(parser.toDict(raw=False), valDict)