Namespaces |
namespace | estimatePileup |
Functions |
def | estimatePileup::fillPileupHistogram |
Variables |
string | estimatePileup::action = 'store_true' |
list | estimatePileup::beamModeChoices = ["","stable", "quiet", "either"] |
dictionary | estimatePileup::csvDict = {} |
tuple | estimatePileup::dbGroup = optparse.OptionGroup(parser, "Database Options") |
list | estimatePileup::deadTable = runDTarray[2] |
| estimatePileup::debug = options.debugLumi, |
tuple | estimatePileup::events = open(options.csvInput, 'r') |
tuple | estimatePileup::f = open(options.inputfile, 'r') |
tuple | estimatePileup::fileparsingResult = csvSelectionParser.csvSelectionParser(options.inputfile) |
string | estimatePileup::help = 'connect string to lumiDB (optional, default to frontier://LumiCalc/CMS_LUMI_PROD)' |
tuple | estimatePileup::hist |
tuple | estimatePileup::histFile = ROOT.TFile.Open(output, 'recreate') |
list | estimatePileup::histList = [] |
tuple | estimatePileup::inputfilecontent = f.read() |
tuple | estimatePileup::inputGroup = optparse.OptionGroup(parser, "Input Options") |
| estimatePileup::inputRange = options.runnumber |
| Get input source.
|
string | estimatePileup::mode = 'csv' |
list | estimatePileup::output = args[0] |
tuple | estimatePileup::parameters = LumiQueryAPI.ParametersObject() |
| ######################## ## ## ################## ## ## ## ## Main Program ## ## ## ## ################## ## ## ######################## ##
|
tuple | estimatePileup::parser |
tuple | estimatePileup::pieces = sepRE.split(line.strip()) |
tuple | estimatePileup::pileupGroup = optparse.OptionGroup(parser, "Pileup Options") |
tuple | estimatePileup::pileupHist |
| Save what we need in the parameters object.
|
tuple | estimatePileup::recordedData = LumiQueryAPI.recordedLumiForRange(session, parameters, inputRange) |
dictionary | estimatePileup::runLumiDict = {} |
list | estimatePileup::runNumber = runDTarray[0] |
| pprint (recordedData)
|
tuple | estimatePileup::sepRE = re.compile(r'[\s,;:]+') |
list | estimatePileup::xingInstLumiArray |