python 2to3 tool lib2to3.fixes.fix_filter

Alignment/MillePedeAlignmentAlgorithm/python/alignmentsetup/SetCondition.py

@@ -22,6 +22,5 @@ def setCondition(process,
         args["label"] = cms.untracked.string(label)
 
     process.GlobalTag.toGet \
-        = cms.VPSet(filter(lambda x: x.record.value() != record,
-                           process.GlobalTag.toGet.value()))
+        = cms.VPSet([x for x in process.GlobalTag.toGet.value() if x.record.value() != record])
     process.GlobalTag.toGet.append(cms.PSet(**args))

Alignment/MillePedeAlignmentAlgorithm/python/mpsvalidate/geometry.py

@@ -43,8 +43,7 @@ def get_ndiscriminator(self, objid):
                 for structure in discriminator:
                     ndiscriminator[structure].append(getattr(entry, structure))
         for structure in discriminator:
-            ndiscriminator[structure] = filter(lambda x: x != 0,
-                                               ndiscriminator[structure])
+            ndiscriminator[structure] = [x for x in ndiscriminator[structure] if x != 0]
 
         return [len(set(ndiscriminator[structure]))
                 for structure in discriminator]

Alignment/MillePedeAlignmentAlgorithm/scripts/mps_alisetup.py

@@ -156,7 +156,7 @@ def _fetch_external_datasets(self):
             datasets = map(lambda x: x.strip(),
                            self._config.get("general",
                                             "externalDatasets").split(","))
-            datasets = filter(lambda x: len(x.strip()) > 0, datasets)
+            datasets = [x for x in datasets if len(x.strip()) > 0]
             for item in datasets:
                 splitted = item.split("|")
                 dataset = splitted[0].strip()
@@ -328,7 +328,7 @@ def _create_mille_jobs(self):
                        "cmscafuser:"+self._mss_dir]
             if dataset["numberOfEvents"] > 0:
                 command.extend(["--max-events", str(dataset["numberOfEvents"])])
-            command = filter(lambda x: len(x.strip()) > 0, command)
+            command = [x for x in command if len(x.strip()) > 0]
 
             # Some output:
             print "Creating jobs for dataset:", name

Alignment/MillePedeAlignmentAlgorithm/scripts/mps_create_file_lists.py

@@ -593,8 +593,7 @@ def _get_track_collection(self, edm_file):
                       "'{}'.".format(track_collections[0]))
             return track_collections[0]
         else:
-            alcareco_tracks = filter(lambda x: x.startswith("ALCARECO"),
-                                     track_collections)
+            alcareco_tracks = [x for x in track_collections if x.startswith("ALCARECO")]
             if len(alcareco_tracks) == 0 and "generalTracks" in track_collections:
                 print_msg("\tDetermined track collection as 'generalTracks'.")
                 return "generalTracks"

CalibTracker/SiStripDCS/test/MakeTkMaps.py

@@ -22,7 +22,7 @@ def ProduceTkMapVoltageInputFiles(workdir=os.getcwd()): #Setting the dir by defa
 	"""
 	#Get all the files in the directory workdir (1 file per IOV):
 	print "Analysing %s directory"%workdir
-	logfilenames=filter(lambda x: x.startswith("DetVOffReaderDebug"), os.listdir(workdir))
+	logfilenames=[x for x in os.listdir(workdir) if x.startswith("DetVOffReaderDebug")]
 	if logfilenames:
 		print "Processing %s logfiles..."%len(logfilenames)
 	else:
@@ -119,7 +119,7 @@ def CreateTkVoltageMapsCfgs(workdir=os.getcwd()): #Default to current working di
 	It returns the list of cfgs ready to be cmsRun to produce the maps 
 	"""
 	#Use HV log files to loop... could use also LV logs...
-	HVLogs=filter(lambda x: x.startswith("HV") and "FROM" in x and x.endswith(".log"),os.listdir(workdir))
+	HVLogs=[x for x in os.listdir(workdir) if x.startswith("HV") and "FROM" in x and x.endswith(".log")]
 
 	#Open the file to use as template
 	TkMapCreatorTemplateFile=open(os.path.join(os.getenv("CMSSW_BASE"),"src/CalibTracker/SiStripDCS/test","TkVoltageMapCreator_cfg.py"),"r")
@@ -157,7 +157,7 @@ def CreateTkVoltageMaps(workdir=os.getcwd()): #Default to current working direct
 	Function that looks for TkVoltageMap*cfg.py in the workdir directory and launches each of them
 	creating 2 TkVoltageMaps per IOV, one for LV and one of HV status (each as a png file). 
 	"""
-	TkMapCfgs=filter(lambda x: x.startswith("TkVoltageMap") and "FROM" in x and x.endswith("cfg.py"),os.listdir(workdir))
+	TkMapCfgs=[x for x in os.listdir(workdir) if x.startswith("TkVoltageMap") and "FROM" in x and x.endswith("cfg.py")]
 	for TkMapCfg in TkMapCfgs:
 		#Make sure we run the cfg in the workdir and also the logfile is saved there...
 		TkMapCfg=os.path.join(workdir,TkMapCfg)

CondCore/Utilities/python/CondDBFW/uploads.py

@@ -52,9 +52,7 @@ def new_log_file_id():
 	"""
 	# new id = number of log files + 1
 	# (primitive - matching the hash of the upload session may be a better idea)
-	log_files = filter(lambda file : "upload_log" in file,
-						os.listdir(os.path.join(os.getcwd(), "upload_logs"))
-					)
+	log_files = [file for file in os.listdir(os.path.join(os.getcwd(), "upload_logs")) if "upload_log" in file]
 	new_id = len(log_files)+1
 	return new_id
 
@@ -601,7 +599,7 @@ def filter_iovs_by_fcsr(self, upload_session_id):
 
 		# only select iovs that have sinces >= max_since_below_dest
 		# and then shift any IOVs left to the destination since
-		self.data_to_send["iovs"] = filter(lambda iov : iov["since"] >= max_since_below_dest, self.data_to_send["iovs"])
+		self.data_to_send["iovs"] = [iov for iov in self.data_to_send["iovs"] if iov["since"] >= max_since_below_dest]
 		for (i, iov) in enumerate(self.data_to_send["iovs"]):
 			if self.data_to_send["iovs"][i]["since"] < self.data_to_send["since"]:
 				self.data_to_send["iovs"][i]["since"] = self.data_to_send["since"]

CondTools/BTau/python/checkBTagCalibrationConsistency.py

@@ -16,7 +16,7 @@
 
 def _eta_pt_discr_entries_generator(filter_keyfunc, op):
     assert data
-    entries = filter(filter_keyfunc, data.entries)
+    entries = list(filter(filter_keyfunc, data.entries))
 
     # use full or half eta range?
     if any(e.params.etaMin < 0. for e in entries):
@@ -26,19 +26,11 @@ def _eta_pt_discr_entries_generator(filter_keyfunc, op):
 
     for eta in eta_test_points:
         for pt in data.pt_test_points:
-            ens_pt_eta = filter(
-                lambda e:
-                e.params.etaMin < eta < e.params.etaMax and
-                e.params.ptMin < pt < e.params.ptMax,
-                entries
-            )
+            ens_pt_eta = [e for e in entries if e.params.etaMin < eta < e.params.etaMax and
+                e.params.ptMin < pt < e.params.ptMax]
             if op == 3:
                 for discr in data.discr_test_points:
-                    ens_pt_eta_discr = filter(
-                        lambda e:
-                        e.params.discrMin < discr < e.params.discrMax,
-                        ens_pt_eta
-                    )
+                    ens_pt_eta_discr = [e for e in ens_pt_eta if e.params.discrMin < discr < e.params.discrMax]
                     yield eta, pt, discr, ens_pt_eta_discr
             else:
                 yield eta, pt, None, ens_pt_eta

CondTools/BTau/python/dataLoader.py

@@ -183,7 +183,7 @@ def get_data_csv(csv_data):
         for op in ops
         for fl in flavs
     )
-    lds = filter(lambda d: d.entries, lds)
+    lds = [d for d in lds if d.entries]
     return lds
 
 

CondTools/BTau/python/generateFlavCfromFlavB.py

@@ -8,10 +8,7 @@
 
 
 def generate_flav_c(loaded_data):
-    flav_b_data = filter(
-        lambda e: e.params.jetFlavor == 0,
-        loaded_data.entries
-    )
+    flav_b_data = [e for e in loaded_data.entries if e.params.jetFlavor == 0]
     flav_b_data = sorted(flav_b_data, key=lambda e: e.params.operatingPoint)
     flav_b_data = sorted(flav_b_data, key=lambda e: e.params.measurementType)
     flav_b_data = sorted(flav_b_data, key=lambda e: e.params.etaMin)

Configuration/DataProcessing/python/Impl/AlCa.py

@@ -60,7 +60,7 @@ def alcaSkim(self, skims, **args):
         """
         step = ""
         pclWflws = [x for x in skims if "PromptCalibProd" in x]
-        skims = filter(lambda x: x not in pclWflws, skims)
+        skims = [x for x in skims if x not in pclWflws]
 
         if len(pclWflws):
             step += 'ALCA:'+('+'.join(pclWflws))

Configuration/DataProcessing/python/Reco.py

@@ -213,7 +213,7 @@ def alcaSkim(self, skims, **args):
 
         step = ""
         pclWflws = [x for x in skims if "PromptCalibProd" in x]
-        skims = filter(lambda x: x not in pclWflws, skims)
+        skims = [x for x in skims if x not in pclWflws]
 
         if len(pclWflws):
             step += 'ALCA:'+('+'.join(pclWflws))

Configuration/PyReleaseValidation/python/relval_upgrade.py

@@ -76,7 +76,7 @@ def makeStepName(key,frag,step,suffix):
                 # skip ALCA
                 trackingVariations = ['trackingOnly','trackingRun2','trackingOnlyRun2','trackingLowPU','pixelTrackingOnly']
                 for tv in trackingVariations:
-                    stepList[tv] = filter(lambda s : "ALCA" not in s, stepList[tv])
+                    stepList[tv] = [s for s in stepList[tv] if "ALCA" not in s]
                 workflows[numWF+upgradeSteps['trackingOnly']['offset']] = [ upgradeDatasetFromFragment[frag], stepList['trackingOnly']]
                 if '2017' in key:
                     for tv in trackingVariations[1:]:

DQM/SiPixelPhase1Common/python/SpecificationBuilder_cfi.py

@@ -78,7 +78,7 @@ def __deepcopy__(self, memo):
     return t 
 
   def groupBy(self, cols, mode = "SUM"):
-    cnames = filter(len, val(cols).split("/")) # omit empty items
+    cnames = list(filter(len, val(cols).split("/"))) # omit empty items
     newstate = self._state
 
     # The behaviour of groupBy depends a lot on when it happens:

DQMServices/FileIO/scripts/dqmMemoryStats.py

@@ -93,7 +93,7 @@ def displayDirectoryStatistics(stats, args):
     as_list.sort(reverse=True, key=lambda v_k1: abs(v_k1[0]))
 
     if cutoff is not None:
-        as_list = filter(lambda v_k: abs(v_k[0]) > cutoff, as_list)
+        as_list = [v_k for v_k in as_list if abs(v_k[0]) > cutoff]
 
     if display is not None:
         as_list = as_list[:display]

FWCore/GuiBrowsers/python/EnablePSetHistory.py

@@ -307,10 +307,10 @@ def new_dumpModifications(self, comments=True, process=True, module=False, seque
     for name, o in self.items_():
         modifications += self.recurseDumpModifications_(name, o)
     if not sequence:
-        modifications = filter(lambda x: not x['type'] == 'seq', modifications)
+        modifications = [x for x in modifications if not x['type'] == 'seq']
     checkpoint = self.__dict__['_Process__modifiedcheckpoint']
     if not checkpoint == None:
-        modifications = filter(lambda x: any([x['name'].startswith(check) for check in checkpoint]), modifications)
+        modifications = [x for x in modifications if any([x['name'].startswith(check) for check in checkpoint])]
     if module:
         value = False
         comments = False

FWCore/GuiBrowsers/python/Vispa/Gui/ConnectableWidget.py

@@ -289,15 +289,15 @@ def sinkPorts(self):
         return [port for port in self._ports if port.portType() == "sink"]
         def isSink(port):
             return port.portType() == 'sink'
-        return filter(isSink, self._ports)
+        return list(filter(isSink, self._ports))
 
     def sourcePorts(self):
         """ Returns list of all source ports set.
         """
         return [port for port in self._ports if port.portType() == "source"]
         def isSource(port):
             return port.portType() == 'source'
-        return filter(isSource, self._ports)
+        return list(filter(isSource, self._ports))
 
     def sinkPort(self, name):
         """ Returns sink port with given name or None if no such port is found.

HLTriggerOffline/Btag/python/readConfig.py

@@ -18,7 +18,7 @@ def read(self):
 #		 self.denominatorTriggerPath=ConfigSectionMap("config")["denominatorTriggerPath"]
 
 		 files=files.splitlines()
-		 self.files=filter(lambda x: len(x)>0,files)
+		 self.files=[x for x in files if len(x)>0]
 
 		 self.btag_modules=cms.VInputTag()
 		 self.btag_pathes=cms.vstring()

IOMC/RandomEngine/python/RandomServiceHelper.py

@@ -57,7 +57,7 @@ def __psetsWithSeeds(self):
 
         #print svcAttrs
 
-        return filter(self.__containsSeed, svcAttrs)
+        return list(filter(self.__containsSeed, svcAttrs))
 
 
     def countSeeds(self):

L1Trigger/L1TMuonBarrel/test/kalmanTools/createGains.py

@@ -10,7 +10,7 @@ def getBit(q,i):
 def fetchKMTF(event,etaMax=0.83,chi2=800000,dxyCut=100000):
     kmtfH  = Handle('vector<L1MuKBMTrack>')
     event.getByLabel('simKBmtfDigis',kmtfH)
-    kmtf=filter(lambda x: abs(x.eta())<etaMax and x.approxChi2()<chi2 and abs(x.dxy())<dxyCut,kmtfH.product())
+    kmtf=[x for x in kmtfH.product() if abs(x.eta())<etaMax and x.approxChi2()<chi2 and abs(x.dxy())<dxyCut]
     return sorted(kmtf,key=lambda x: x.pt(),reverse=True)
 
 ####Save the Kalman Gains for LUTs

PhysicsTools/Heppy/python/analyzers/objects/VertexAnalyzer.py

@@ -103,7 +103,7 @@ def process(self,  event):
         event.rhoCN = self.handles['rhoCN'].product()[0]
         event.sigma = self.handles['sigma'].product()[0] if self.handles['sigma'].isValid() else -999
         event.vertices = self.handles['vertices'].product()
-        event.goodVertices = filter(self.testGoodVertex,event.vertices)
+        event.goodVertices = list(filter(self.testGoodVertex,event.vertices))
 
 
         self.count.inc('All Events')

PhysicsTools/Heppy/python/physicsutils/VBF.py

@@ -79,7 +79,7 @@ def isCentral( jet ):
                 return True
             else:
                 return False
-        centralJets = filter( isCentral, otherJets )
+        centralJets = list(filter( isCentral, otherJets ))
         return centralJets
 
     def calcP4(self, jets):

PhysicsTools/Heppy/python/physicsutils/genutils.py

@@ -29,14 +29,14 @@ def allDaughters(particle, daughters, rank ):
 
 
 def bosonToX(particles, bosonType, xType):
-    bosons = filter(lambda x: x.status()==3 and x.pdgId()==bosonType, particles)
+    bosons = [x for x in particles if x.status()==3 and x.pdgId()==bosonType]
     daughters = []
     if len(bosons)==0:
         return [], False
     boson = bosons[0]
     daus = []
     allDaughters( boson, daus, 0)
-    xDaus = filter(lambda x: x.status()==3 and abs(x.pdgId())==xType, daus)
+    xDaus = [x for x in daus if x.status()==3 and abs(x.pdgId())==xType]
     # print printOut(xDaus)
     return xDaus, True 
 

PhysicsTools/HeppyCore/python/utils/deltar.py

@@ -54,7 +54,7 @@ def matchObjectCollection3 ( objects, matchCollection, deltaRMax = 0.3, filter =
 
     objectCoords = [ (o.eta(),o.phi(),o) for o in objects ]
     matchdCoords = [ (o.eta(),o.phi(),o) for o in matchCollection ]
-    allPairs = sorted([(deltaR2 (oeta, ophi, meta, mphi), (object, match)) for (oeta,ophi,object) in objectCoords for (meta,mphi,match) in matchdCoords if abs(oeta-meta)<=deltaRMax and filter(object,match) ])
+    allPairs = sorted([(deltaR2 (oeta, ophi, meta, mphi), (object, match)) for (oeta,ophi,object) in objectCoords for (meta,mphi,match) in matchdCoords if abs(oeta-meta)<=deltaRMax and list(filter(object,match)) ])
     #allPairs = [(deltaR2 (object.eta(), object.phi(), match.eta(), match.phi()), (object, match)) for object in objects for match in matchCollection if filter(object,match) ]
     #
     # to flag already matched objects
@@ -155,7 +155,7 @@ def matchObjectCollection( objects, matchCollection, deltaR2Max, filter = lambda
     if len(matchCollection)==0:
         return dict( list(zip(objects, [None]*len(objects))) )
     for object in objects:
-        bm, dr2 = bestMatch( object, [mob for mob in matchCollection if filter(object,mob)] )
+        bm, dr2 = bestMatch( object, [mob for mob in matchCollection if list(filter(object,mob))] )
         if dr2<deltaR2Max:
             pairs[object] = bm
         else:

PhysicsTools/RooStatsCms/test/testCrabToyMC_summary.py

@@ -42,13 +42,13 @@
 
 # retrieve the targz files
 for directory in sys.argv[1:]:
-    for targzfile in filter(lambda name: ".tgz" in name, os.listdir(directory)):
+    for targzfile in [name for name in os.listdir(directory) if ".tgz" in name]:
         targz_files.append(directory+"/"+targzfile)
 
 # inspect them
 for targzfile in targz_files:
     f = tarfile.open(targzfile,"r:gz")
-    for txtfilename in filter(lambda name: ".txt" in name, f.getnames()):
+    for txtfilename in [name for name in f.getnames() if ".txt" in name]:
         print "Xtracting ",txtfilename
         txtfile = f.extractfile(txtfilename)
         for line in txtfile.readlines():

RecoLuminosity/LumiDB/python/checkforupdate.py

@@ -21,7 +21,7 @@ def runningVersion(self,cmsswWorkingBase,scriptname,isverbose=True):
         cleanresult=re.sub(r'\s+|\t+',' ',cleanresult)
         allfields=cleanresult.split(' ')
         workingversion = "n/a"
-        for line in filter(lambda line: "Sticky Tag" in line, result.split('\n')):
+        for line in [line for line in result.split('\n') if "Sticky Tag" in line]:
             workingversion = line.split()[2]
         if workingversion=='(none)':
             workingversion='HEAD'

RecoLuminosity/LumiDB/scripts/lumiDBFiller.py

@@ -44,7 +44,7 @@ def getRunsToBeUploaded(connectionString, dropbox, authpath='',minrun=180250):
     # check if there are new runs to be uploaded
     #command = 'ls -ltr '+dropbox
     p=re.compile('^CMS_LUMI_RAW_\d\d\d\d\d\d\d\d_\d\d\d\d\d\d\d\d\d_\d\d\d\d_\d.root$')
-    files=filter(os.path.isfile,[os.path.join(dropbox,x) for x in os.listdir(dropbox) if p.match(x)])
+    files=list(filter(os.path.isfile,[os.path.join(dropbox,x) for x in os.listdir(dropbox) if p.match(x)]))
     files.sort(key=lambda x: os.path.getmtime(os.path.join(dropbox,x)))
     #print 'sorted files ',files
     #print files

SimMuon/Configuration/python/customizeMuonDigi.py

@@ -18,7 +18,7 @@
 #  - drop unnecessary mixObjects
 def customize_mix_muon_only(process):
     process.mix.digitizers = digitizers = cms.PSet()
-    digi_aliases = filter(lambda n: 'Digi' in n, process.aliases.keys())
+    digi_aliases = [n for n in process.aliases.keys() if 'Digi' in n]
     for a in digi_aliases: process.__delattr__(a)
     from SimGeneral.MixingModule.mixObjects_cfi import theMixObjects
     process.mix.mixObjects = theMixObjects

Utilities/RelMon/python/directories2html.py

@@ -285,7 +285,7 @@ def get_comparisons(category,directory):
   tot_counter=1
 
   # get the right ones
-  comparisons= filter (lambda comp: comp.status == cat_states[category] , directory.comparisons) 
+  comparisons= [comp for comp in directory.comparisons if comp.status == cat_states[category]] 
   n_comparisons=len(comparisons)    
 
   is_reverse=True
@@ -549,7 +549,7 @@ def get_aggr_pairs_info(dir_dict,the_aggr_pairs=[]):
             present_subdirs[subdirname]={"nsucc":nsucc,"weight":weight}
         # Make it usable also for subdirectories
         for subsubdirname,subsubdir in subdir.get_subdirs_dict().items():          
-          for pathname in filter(lambda name:"/" in name,subdir_list):           
+          for pathname in [name for name in subdir_list if "/" in name]:           
             selected_subdirname,selected_subsubdirname = pathname.split("/")
             if selected_subdirname == subdirname and selected_subsubdirname==subsubdirname:
               #print "Studying directory ",subsubdirname," in directory ",subdirname
@@ -710,7 +710,7 @@ def make_summary_table(indir,aggregation_rules,aggregation_rules_twiki, hashing_
 
 
   # Get the list of pickles
-  sample_pkls=filter(lambda name: name.endswith(".pkl"),listdir("./"))
+  sample_pkls=[name for name in listdir("./") if name.endswith(".pkl")]
 
   # Load directories, build a list of all first level subdirs  
   dir_unpicklers=[]

Utilities/RelMon/python/dirstructure.py

@@ -112,7 +112,7 @@ def calcStats(self,make_pie=True):
       print "    [*] Missing in %s: %s" %(self.filename1, self.different_histograms['file1'])
       print "    [*] Missing in %s: %s" %(self.filename2, self.different_histograms['file2'])
     # clean from empty dirs    
-    self.subdirs = filter(lambda subdir: not subdir.is_empty(),self.subdirs)    
+    self.subdirs = [subdir for subdir in self.subdirs if not subdir.is_empty()]    
 
     for comp in self.comparisons:
       if comp.status == SKIPED: #in case its in black list & skiped 
@@ -182,7 +182,7 @@ def print_report(self,indent="",verbose=False):
       self.calcStats(make_pie=False)
     # print small failure report
     if verbose:
-      fail_comps=filter(lambda comp:comp.status==FAIL,self.comparisons)
+      fail_comps=[comp for comp in self.comparisons if comp.status==FAIL]
       fail_comps=sorted(fail_comps,key=lambda comp:comp.name )    
       if len(fail_comps)>0:
         print indent+"* %s/%s:" %(self.mother_dir,self.name)

Utilities/RelMon/python/dqm_interfaces.py

@@ -594,7 +594,7 @@ def ls(self,directory_name=""):
     contents={}
     self.different_histograms['file1']= {}
     self.different_histograms['file2']= {}
-    keys = filter(lambda key: key in contents1,contents2.keys()) #set of all possible contents from both files
+    keys = [key for key in contents2.keys() if key in contents1] #set of all possible contents from both files
     #print " ## keys: %s" %(keys)
     for key in keys:  #iterate on all unique keys
       if contents1[key]!=contents2[key]: