Fall17.triBoson, Fall17.ZZ, Fall17.nonprompt_3l ] elif args.era == "Run2018": mc = [ Autumn18.TWZ_NLO_DR, Autumn18.TTZ, Autumn18.TTX_rare, Autumn18.TZQ, Autumn18.WZ, Autumn18.triBoson, Autumn18.ZZ, Autumn18.nonprompt_3l ] elif args.era == "RunII": mc = [TWZ_NLO_DR, TTZ, TTX_rare, TZQ, WZ, triBoson, ZZ, nonprompt_3l] ################################################################################ # Define the data sample try: data_sample = eval(args.era) except Exception as e: logger.error("Didn't find %s", args.era) raise e lumi_scale = data_sample.lumi / 1000 data_sample.scale = 1. for sample in mc: sample.scale = 1 # Scale MCs individually with lumi if args.small: for sample in mc + [data_sample]: sample.normalization = 1. sample.reduceFiles(to=1) #sample.reduceFiles( to=1) sample.scale /= sample.normalization ################################################################################
subDir = args.config #config config = getattr(configs, args.config) sample_names = [] found = False for sample in config.training_samples: if args.sample == sample.name: found = True break # found it else: sample_names.append(sample.name) if not found: logger.error("Need sample to be one of %s, got %s", ",".join(sample_names), args.sample) sys.exit() logger.info("Processing sample %s", sample.name) count = int(sample.getYieldFromDraw(weightString="(1)")["val"]) logger.info("Found %i events for sample %s", count, sample.name) if args.small: sample.reduceFiles(to=1) subDir += '_small' # selection if hasattr(config, "selectionString"): sample.addSelectionString(config.selectionString) logger.info("Add selectionstring %s", config.selectionString)