Classes | |
class | LumiInfo |
#################### ## ## LumiInfo Class ## ## #################### ## More... | |
class | LumiInfoCont |
######################## ## ## LumiInfoCont Class ## ## ######################## ## More... | |
Functions | |
def | loadEvents |
####################### ## ## General Functions ## ## ####################### ## | |
def | makeEDFplot |
Variables | |
string | action = 'store_true' |
list | allowedEDF = ['time', 'instLum', 'instIntLum'] |
################ ## ## ########## ## ## ## ## Main ## ## ## ## ########## ## ## ################ ## | |
tuple | cont = LumiInfoCont(args[0], **options.__dict__) |
load Luminosity info ## | |
string | default = 'Empirical Distribution Function' |
done = False | |
string | help = 'title of plot (default %default)' |
tuple | inputGroup = optparse.OptionGroup(parser, "Input Options") |
tuple | modeGroup = optparse.OptionGroup(parser, "Mode Options") |
tuple | nonSpaceRE = re.compile(r'\S') |
tuple | parser = optparse.OptionParser("Usage: %prog [options] lumi.csv events.txt output.png", description='Script for generating EDF curves. See https://twiki.cern.ch/twiki/bin/viewauth/CMS/SWGuideGenerateEDF for more details.') |
tuple | pieces = sepRE.split(line) |
tuple | plotGroup = optparse.OptionGroup(parser, "Plot Options") |
int | prevRecLumi = 0 |
tuple | rangeGroup = optparse.OptionGroup(parser, "Range Options") |
int | recLumIndex = 0 |
list | recLumis = [] |
look for which runs correspond to what total ## recorded integrated luminosity ## | |
tuple | recLumValue = float(piece) |
tuple | sepRE = re.compile(r'[\s,;:]+') |
string | type = 'string' |
def generateEDF::loadEvents | ( | filename, | |
cont, | |||
options | |||
) |
####################### ## ## General Functions ## ## ####################### ##
Definition at line 234 of file generateEDF.py.
00235 : 00236 eventsDict = {} 00237 print "loading events from '%s'" % filename 00238 events = open (filename, 'r') 00239 runIndex, lumiIndex, eventIndex, weightIndex = 0, 1, 2, 3 00240 if options.relOrder: 00241 lumiIndex, eventIndex = 2,1 00242 minPieces = 3 00243 totalWeight = 0. 00244 if options.weights: 00245 minPieces = 4 00246 for line in events: 00247 pieces = sepRE.split (line.strip()) 00248 if len (pieces) < minPieces: 00249 if nonSpaceRE.search (line): 00250 print "skipping", line 00251 continue 00252 try: 00253 run, lumi, event = int( pieces[runIndex] ), \ 00254 int( pieces[lumiIndex] ), \ 00255 int( pieces[eventIndex] ) 00256 except: 00257 continue 00258 key = (run, lumi) 00259 if not cont.has_key (key): 00260 if options.ignore: 00261 print "Warning, %s is not found in the lumi information" \ 00262 % key.__str__() 00263 continue 00264 else: 00265 raise RuntimeError, "%s is not found in lumi information. Use '--ignoreNoLumiEvents' option to ignore these events and continue." \ 00266 % key.__str__() 00267 if options.edfMode != 'time' and not cont[key].xingInfo: 00268 if options.ignore: 00269 print "Warning, %s does not have Xing information" \ 00270 % key.__str__() 00271 continue 00272 else: 00273 raise RuntimeError, "%s does not have Xing information. Use '--ignoreNoLumiEvents' option to ignore these events and continue." \ 00274 % key.__str__() 00275 if options.weights: 00276 weight = float (pieces[weightIndex]) 00277 else: 00278 weight = 1 00279 eventsDict.setdefault( key, []).append( (event, weight) ) 00280 totalWeight += weight 00281 events.close() 00282 return eventsDict, totalWeight 00283
def generateEDF::makeEDFplot | ( | lumiCont, | |
eventsDict, | |||
totalWeight, | |||
outputFile, | |||
options | |||
) |
Definition at line 284 of file generateEDF.py.
00285 : 00286 # make TGraph 00287 xVals = [0] 00288 yVals = [0] 00289 expectedVals = [0] 00290 predVals = [0] 00291 weight = 0 00292 expectedChunks = [] 00293 ######################## 00294 ## Time Ordering Mode ## 00295 ######################## 00296 if 'time' == options.edfMode: 00297 # if we have a minimum run number, clear the lists 00298 if lumiCont.minRun or lumiCont.minIntLum: 00299 xVals = [] 00300 yVals = [] 00301 expectedVals = [] 00302 predVals = [] 00303 # loop over events 00304 for key, eventList in sorted( eventsDict.iteritems() ): 00305 usePoints = True 00306 # should we add this point? 00307 if lumiCont.minRun and lumiCont.minRun > key[0] or \ 00308 lumiCont.maxRun and lumiCont.maxRun < key[0]: 00309 usePoints = False 00310 for event in eventList: 00311 weight += event[1] 00312 if not usePoints: 00313 continue 00314 factor = weight / totalWeight 00315 try: 00316 intLum = lumiCont[key].totalRecorded 00317 except: 00318 raise RuntimeError, "key %s not found in lumi information" \ 00319 % key.__str__() 00320 if lumiCont.minIntLum and lumiCont.minIntLum > intLum or \ 00321 lumiCont.maxIntLum and lumiCont.maxIntLum < intLum: 00322 continue 00323 lumFrac = intLum / lumiCont.totalRecLum 00324 xVals.append( lumiCont[key].totalRecorded) 00325 yVals.append (factor) 00326 expectedVals.append (lumFrac) 00327 predVals.append (lumFrac * options.pred) 00328 # put on the last point if we aren't giving a maximum run 00329 if not lumiCont.maxRun and not lumiCont.maxIntLum: 00330 xVals.append (lumiCont.totalRecLum) 00331 yVals.append (1) 00332 expectedVals.append (1) 00333 predVals.append (options.pred) 00334 #################### 00335 ## Reset Expected ## 00336 #################### 00337 if options.resetExpected: 00338 slope = (yVals[-1] - yVals[0]) / (xVals[-1] - xVals[0]) 00339 print "slope", slope 00340 for index, old in enumerate (expectedVals): 00341 expectedVals[index] = yVals[0] + \ 00342 slope * (xVals[index] - xVals[0]) 00343 ############################################# 00344 ## Break Expected by Integrated Luminosity ## 00345 ############################################# 00346 if options.breakExpectedIntLum: 00347 breakExpectedIntLum = [] 00348 for chunk in options.breakExpectedIntLum: 00349 pieces = sepRE.split (chunk) 00350 try: 00351 for piece in pieces: 00352 breakExpectedIntLum.append( float(piece) ) 00353 except: 00354 raise RuntimeError, "'%s' from '%s' is not a valid float" \ 00355 % (piece, chunk) 00356 breakExpectedIntLum.sort() 00357 boundaries = [] 00358 breakIndex = 0 00359 done = False 00360 for index, xPos in enumerate (xVals): 00361 if xPos > breakExpectedIntLum[breakIndex]: 00362 boundaries.append (index) 00363 while breakIndex < len (breakExpectedIntLum): 00364 breakIndex += 1 00365 if breakIndex >= len (breakExpectedIntLum): 00366 done = True 00367 break 00368 # If this next position is different, than 00369 # we're golden. Otherwise, let it go through 00370 # the loop again. 00371 if xPos <= breakExpectedIntLum[breakIndex]: 00372 break 00373 if done: 00374 break 00375 # do we have any boundaries? 00376 if not boundaries: 00377 raise RuntimeError, "No values of 'breakExpectedIntLum' are in current range." 00378 # is the first boundary at 0? If not, add 0 00379 if boundaries[0]: 00380 boundaries.insert (0, 0) 00381 # is the last boundary at the end? If not, make the end a 00382 # boundary 00383 if boundaries[-1] != len (xVals) - 1: 00384 boundaries.append( len (xVals) - 1 ) 00385 rangeList = zip (boundaries, boundaries[1:]) 00386 for thisRange in rangeList: 00387 upper = thisRange[1] 00388 lower = thisRange[0] 00389 slope = (yVals[upper] - yVals[lower]) / \ 00390 (xVals[upper] - xVals[lower]) 00391 print "slope", slope 00392 # now go over the range inclusively 00393 pairList = [] 00394 for index in range (lower, upper + 1): 00395 newExpected = yVals[lower] + \ 00396 slope * (xVals[index] - xVals[lower]) 00397 pairList.append( (xVals[index], newExpected) ) 00398 expectedVals[index] = newExpected 00399 expectedChunks.append (pairList) 00400 ########################################### 00401 ## Instantanous Luminosity Ordering Mode ## 00402 ########################################### 00403 elif 'instLum' == options.edfMode or 'instIntLum' == options.edfMode: 00404 eventTupList = [] 00405 if not lumiCont.xingInfo: 00406 raise RuntimeError, "Luminosity Xing information missing." 00407 for key, eventList in sorted( eventsDict.iteritems() ): 00408 try: 00409 lumi = lumiCont[key] 00410 instLum = lumi.aveInstLum 00411 fracAXIL = lumi.fracAXILrecorded 00412 totalAXIL = lumi.totalAXILrecorded 00413 except: 00414 raise RuntimeError, "key %s not found in lumi information" \ 00415 % key.__str__() 00416 for event in eventList: 00417 eventTupList.append( (instLum, fracAXIL, totalAXIL, key, 00418 event[0], event[1], ) ) 00419 eventTupList.sort() 00420 for eventTup in eventTupList: 00421 weight += eventTup[5] 00422 factor = weight / totalWeight 00423 if 'instLum' == options.edfMode: 00424 xVals.append (eventTup[0]) 00425 else: 00426 xVals.append (eventTup[2]) 00427 yVals.append (factor) 00428 expectedVals.append (eventTup[1]) 00429 predVals.append (eventTup[1] * options.pred) 00430 else: 00431 raise RuntimeError, "It looks like Charles screwed up if you are seeing this." 00432 00433 size = len (xVals) 00434 step = int (math.sqrt(size) / 2 + 1) 00435 if options.printValues: 00436 for index in range (size): 00437 print "%8f %8f %8f" % (xVals[index], yVals[index], expectedVals[index]), 00438 if index > step: 00439 denom = xVals[index] - xVals[index - step] 00440 numer = yVals[index] - yVals[index - step] 00441 if denom: 00442 print " %8f" % (numer / denom), 00443 if 0 == index % step: 00444 print " **", ## indicates statistically independent 00445 ## slope measurement 00446 print 00447 print 00448 00449 xArray = array.array ('d', xVals) 00450 yArray = array.array ('d', yVals) 00451 expected = array.array ('d', expectedVals) 00452 graph = ROOT.TGraph( size, xArray, yArray) 00453 graph.SetTitle (options.title) 00454 graph.SetMarkerStyle (20) 00455 expectedGraph = ROOT.TGraph( size, xArray, expected) 00456 expectedGraph.SetLineColor (ROOT.kRed) 00457 expectedGraph.SetLineWidth (3) 00458 if options.noDataPoints: 00459 expectedGraph.SetLineStyle (2) 00460 00461 # run statistical tests 00462 if options.weights: 00463 print "average weight per event:", weight / ( size - 1) 00464 maxDistance = ROOT.TMath.KolmogorovTest (size, yArray, 00465 size, expected, 00466 "M") 00467 prob = ROOT.TMath.KolmogorovProb( maxDistance * math.sqrt( size ) ) 00468 00469 # display everything 00470 ROOT.gROOT.SetStyle('Plain') 00471 ROOT.gROOT.SetBatch() 00472 c1 = ROOT.TCanvas() 00473 graph.GetXaxis().SetRangeUser (min (xVals), max (xVals)) 00474 minValue = min (min(yVals), min(expected)) 00475 if options.pred: 00476 minValue = min (minValue, min (predVals)) 00477 graph.GetYaxis().SetRangeUser (minValue, 00478 max (max(yVals), max(expected), max(predVals))) 00479 graph.SetLineWidth (3) 00480 if options.noDataPoints: 00481 graph.Draw ("AL") 00482 else: 00483 graph.Draw ("ALP") 00484 if 'instLum' == options.edfMode: 00485 graph.GetXaxis().SetTitle ("Average Xing Inst. Luminosity (1/ub/s)") 00486 graph.GetXaxis().SetRangeUser (0., lumiCont.max('aveInstLum')) 00487 else: 00488 if 'instIntLum' == options.edfMode: 00489 graph.GetXaxis().SetTitle ("Integrated Luminosity - Inst. Lum. Ordered (1/%s)" \ 00490 % lumiCont.invunits) 00491 else: 00492 graph.GetXaxis().SetTitle ("Integrated Luminosity (1/%s)" \ 00493 % lumiCont.invunits) 00494 graph.GetYaxis().SetTitle ("Fraction of Events Seen") 00495 expectedGraphs = [] 00496 if expectedChunks: 00497 for index, chunk in enumerate (expectedChunks): 00498 expectedXarray = array.array ('d', [item[0] for item in chunk]) 00499 expectedYarray = array.array ('d', [item[1] for item in chunk]) 00500 expectedGraph = ROOT.TGraph( len(chunk), 00501 expectedXarray, 00502 expectedYarray ) 00503 expectedGraph.SetLineWidth (3) 00504 if options.noDataPoints: 00505 expectedGraph.SetLineStyle (2) 00506 if index % 2: 00507 expectedGraph.SetLineColor (ROOT.kBlue) 00508 else: 00509 expectedGraph.SetLineColor (ROOT.kRed) 00510 expectedGraph.Draw("L") 00511 expectedGraphs.append (expectedGraph) 00512 exptectedGraph = expectedGraphs[0] 00513 else: 00514 expectedGraph.Draw ("L") 00515 green = 0 00516 if options.pred: 00517 predArray = array.array ('d', predVals) 00518 green = ROOT.TGraph (size, xArray, predArray) 00519 green.SetLineWidth (3) 00520 green.SetLineColor (8) 00521 green.Draw ('l') 00522 legend = ROOT.TLegend(0.15, 0.65, 0.50, 0.85) 00523 legend.SetFillStyle (0) 00524 legend.SetLineColor(ROOT.kWhite) 00525 observed = 'Observed' 00526 if options.weights: 00527 observed += ' (weighted)' 00528 legend.AddEntry(graph, observed,"PL") 00529 if options.resetExpected: 00530 legend.AddEntry(expectedGraph, "Expected from partial yield","L") 00531 else: 00532 legend.AddEntry(expectedGraph, "Expected from total yield","L") 00533 if options.pred: 00534 legend.AddEntry(green, options.predLabel,"L") 00535 legend.AddEntry("","D_{stat}=%.3f, N=%d" % (maxDistance, size),"") 00536 legend.AddEntry("","P_{KS}=%.3f" % prob,"") 00537 legend.Draw() 00538 00539 # save file 00540 c1.Print (outputFile) 00541
string generateEDF::action = 'store_true' |
Definition at line 570 of file generateEDF.py.
list generateEDF::allowedEDF = ['time', 'instLum', 'instIntLum'] |
################ ## ## ########## ## ## ## ## Main ## ## ## ## ########## ## ## ################ ##
command line options ##
Definition at line 554 of file generateEDF.py.
tuple generateEDF::cont = LumiInfoCont(args[0], **options.__dict__) |
load Luminosity info ##
Definition at line 622 of file generateEDF.py.
string generateEDF::default = 'Empirical Distribution Function' |
Definition at line 561 of file generateEDF.py.
generateEDF::done = False |
Definition at line 651 of file generateEDF.py.
Referenced by EcalBarrelMonitorClient::analyze(), EcalSRCondTools::analyze(), EcalEndcapMonitorClient::analyze(), BaseParticlePropagator::backPropagate(), EcalBarrelMonitorClient::beginRun(), EcalEndcapMonitorClient::beginRun(), EcalCoder::encode(), EcalEndcapMonitorClient::endRun(), EcalBarrelMonitorClient::endRun(), Thrust::finalAxis(), PhysicsTools::MVATrainer::findFinalProcessors(), SequentialPartitionGenerator::first_part(), reco::PositiveSideGhostTrackFitter::fit(), edm::loadExtraClasses(), PhysicsTools::MVATrainer::makeTrainCalibration(), SequentialPartitionGenerator::next_part(), SequentialPartitionGenerator::next_partition(), Combinatorics::next_subset(), DQMNet::onPeerData(), ESListOfFEDSProducer::produce(), EcalListOfFEDSProducer::produce(), SiStripElectronAlgo::projectPhiBand(), ParticlePropagator::propagateToBoundSurface(), BaseParticlePropagator::propagateToClosestApproach(), BaseParticlePropagator::propagateToEcalEntrance(), BaseParticlePropagator::propagateToHcalEntrance(), BaseParticlePropagator::propagateToHcalExit(), TrajectoryManager::propagateToLayer(), BaseParticlePropagator::propagateToPreshowerLayer1(), BaseParticlePropagator::propagateToPreshowerLayer2(), BaseParticlePropagator::propagateToVFcalEntrance(), DCacheFile::read(), IOInput::readv(), TAPDPulse::setPulse(), TPNPulse::setPulse(), evf::FUEventProcessor::subWeb(), DCacheFile::write(), EcalEndcapMonitorClient::writeDb(), EcalBarrelMonitorClient::writeDb(), IOOutput::writev(), IOInput::xread(), IOInput::xreadv(), IOOutput::xwrite(), and IOOutput::xwritev().
string generateEDF::help = 'title of plot (default %default)' |
Definition at line 562 of file generateEDF.py.
tuple generateEDF::inputGroup = optparse.OptionGroup(parser, "Input Options") |
Definition at line 558 of file generateEDF.py.
tuple generateEDF::modeGroup = optparse.OptionGroup(parser, "Mode Options") |
Definition at line 559 of file generateEDF.py.
tuple generateEDF::nonSpaceRE = re.compile(r'\S') |
Definition at line 12 of file generateEDF.py.
tuple generateEDF::parser = optparse.OptionParser("Usage: %prog [options] lumi.csv events.txt output.png", description='Script for generating EDF curves. See https://twiki.cern.ch/twiki/bin/viewauth/CMS/SWGuideGenerateEDF for more details.') |
Definition at line 555 of file generateEDF.py.
tuple generateEDF::pieces = sepRE.split(line) |
Definition at line 635 of file generateEDF.py.
tuple generateEDF::plotGroup = optparse.OptionGroup(parser, "Plot Options") |
Definition at line 556 of file generateEDF.py.
Definition at line 650 of file generateEDF.py.
tuple generateEDF::rangeGroup = optparse.OptionGroup(parser, "Range Options") |
Definition at line 557 of file generateEDF.py.
int generateEDF::recLumIndex = 0 |
Definition at line 648 of file generateEDF.py.
list generateEDF::recLumis = [] |
look for which runs correspond to what total ## recorded integrated luminosity ##
Definition at line 633 of file generateEDF.py.
list generateEDF::recLumValue = float(piece) |
Definition at line 638 of file generateEDF.py.
tuple generateEDF::sepRE = re.compile(r'[\s,;:]+') |
Definition at line 11 of file generateEDF.py.
string generateEDF::type = 'string' |
Definition at line 584 of file generateEDF.py.