def call_systematics(args, result=sys.stdout, running=True, log=lambda x: sys.stdout.write(str(x) + '\n')): """calling systematics from a list of arguments""" input, output = args[0:2] start_opts = 2 if output and output.startswith('-'): start_opts = 1 output = input opts = {} for arg in args[start_opts:]: if '=' in arg: key, values = arg.split('=') key = key.replace('-', '') values = values.strip() if values[0] in ["'", '"'] and values[-1] == values[0]: values = values[1:-1] values = values.split(',') if key == 'together': if key in opts: opts[key].append(tuple(values)) else: opts[key] = [tuple(values)] elif key == 'result': result = open(values[0], 'w') elif key in ['start_event', 'stop_event', 'only_beam']: opts[key] = banner_mod.ConfigFile.format_variable( values[0], int, key) elif key in ['write_banner', 'ion_scalling']: opts[key] = banner_mod.ConfigFile.format_variable( values[0], bool, key) else: if key in opts: opts[key] += values else: opts[key] = values else: raise SystematicsError, "unknow argument %s" % arg #load run_card and extract parameter if needed. if 'from_card' in opts: if opts['from_card'] != ['internal']: card = banner.RunCard(opts['from_card'][0]) else: for i in range(10): try: lhe = lhe_parser.EventFile(input) break except OSError, error: print error time.sleep(15 * (i + 1)) else: raise card = banner.RunCard(banner.Banner(lhe.banner)['mgruncard']) lhe.close()
except: outPath = pjoin(os.path.dirname(os.path.realpath(eventFile)), '%s_rwgt.%s' % (evtFileName, evtFileExt)) i = 0 while os.path.exists(outPath): i = i + 1 if outSpecified and i == 1: logging.warning( "The chosen filename %s for the output already exists." % os.path.basename(outPath)) outPath = pjoin(os.path.dirname(os.path.realpath(eventFile)), '%s_rwgt_%i.%s' % (evtFileName, i, evtFileExt)) try: evtBanner = banner.Banner(eventFile) evtFile = lhe_parser.EventFile(eventFile) except: logging.error("Could not read event file %s." % eventFile) # Start by loading the model of the banner try: model_name = evtBanner.get_detail('model') model_name = model_name.split('-')[0] # For now use the model 'sm' no matter what since it is only used for the particle naming scheme model_name = 'sm' user_model = import_ufo.import_full_model( pjoin(proc_path, os.pardir, 'models', model_name)) except: logging.error("Could not load the model %s used for generating the event file"\ %evtBanner.get_detail('model'))
def __init__( self, input_file, output_file, start_event=0, stop_event=sys.maxint, write_banner=False, mur=[0.5, 1, 2], muf=[0.5, 1, 2], alps=[1], pdf='errorset', #[(id, subset)] dyn=[-1, 1, 2, 3, 4], together=[('mur', 'muf', 'dyn')], remove_wgts=[], keep_wgts=[], start_id=None, lhapdf_config=misc.which('lhapdf-config'), log=lambda x: sys.stdout.write(str(x) + '\n')): # INPUT/OUTPUT FILE if isinstance(input_file, str): self.input = lhe_parser.EventFile(input_file) else: self.input = input_file self.output_path = output_file if output_file != None: if isinstance(output_file, str): if output_file == input_file: directory, name = os.path.split(output_file) new_name = pjoin(directory, '.tmp_' + name) self.output = lhe_parser.EventFile(new_name, 'w') else: self.output = lhe_parser.EventFile(output_file, 'w') else: self.output = output_file self.log = log #get some information from the run_card. self.banner = banner_mod.Banner(self.input.banner) self.force_write_banner = bool(write_banner) self.orig_dyn = self.banner.get('run_card', 'dynamical_scale_choice') self.orig_pdf = self.banner.run_card.get_lhapdf_id() matching_mode = self.banner.get('run_card', 'ickkw') #check for beam beam1, beam2 = self.banner.get_pdg_beam() if abs(beam1) != 2212 and abs(beam2) != 2212: self.b1 = 0 self.b2 = 0 pdf = 'central' #raise SystematicsError, 'can only reweight proton beam' elif abs(beam1) != 2212: self.b1 = 0 self.b2 = beam2 // 2212 elif abs(beam2) != 2212: self.b1 = beam1 // 2212 self.b2 = 0 else: self.b1 = beam1 // 2212 self.b2 = beam2 // 2212 if isinstance(self.banner.run_card, banner_mod.RunCardLO): self.is_lo = True if not self.banner.run_card['use_syst']: raise SystematicsError, 'The events have not been generated with use_syst=True. Cannot evaluate systematics error on these events.' else: self.is_lo = False if not self.banner.run_card['store_rwgt_info']: raise SystematicsError, 'The events have not been generated with store_rwgt_info=True. Cannot evaluate systematics error on these events.' # MUR/MUF/ALPS PARSING if isinstance(mur, str): mur = mur.split(',') self.mur = [float(i) for i in mur] if isinstance(muf, str): muf = muf.split(',') self.muf = [float(i) for i in muf] if isinstance(alps, str): alps = alps.split(',') self.alps = [float(i) for i in alps] # DYNAMICAL SCALE PARSING + together if isinstance(dyn, str): dyn = dyn.split(',') self.dyn = [int(i) for i in dyn] # For FxFx only mode -1 makes sense if matching_mode == 3: self.dyn = [-1] # avoid sqrts at NLO if ISR is possible if 4 in self.dyn and self.b1 and self.b2 and not self.is_lo: self.dyn.remove(4) if isinstance(together, str): self.together = together.split(',') else: self.together = together # START/STOP EVENT self.start_event = int(start_event) self.stop_event = int(stop_event) if start_event != 0: self.log("#starting from event #%s" % start_event) if stop_event != sys.maxint: self.log("#stopping at event #%s" % stop_event) # LHAPDF set if isinstance(lhapdf_config, list): lhapdf_config = lhapdf_config[0] lhapdf = misc.import_python_lhapdf(lhapdf_config) if not lhapdf: log('fail to load lhapdf: doe not perform systematics') return lhapdf.setVerbosity(0) self.pdfsets = {} if isinstance(pdf, str): pdf = pdf.split(',') if isinstance(pdf, list) and isinstance(pdf[0], (str, int)): self.pdf = [] for data in pdf: if data == 'errorset': data = '%s' % self.orig_pdf if data == 'central': data = '%s@0' % self.orig_pdf if '@' in data: #one particular dataset name, arg = data.rsplit('@', 1) if int(arg) == 0: if name.isdigit(): self.pdf.append(lhapdf.mkPDF(int(name))) else: self.pdf.append(lhapdf.mkPDF(name)) elif name.isdigit(): try: self.pdf.append(lhapdf.mkPDF(int(name) + int(arg))) except: raise Exception, 'Individual error sets need to be called with LHAPDF NAME not with LHAGLUE NUMBER' else: self.pdf.append(lhapdf.mkPDF(name, int(arg))) else: if data.isdigit(): pdfset = lhapdf.mkPDF(int(data)).set() else: pdfset = lhapdf.mkPDF(data).set() self.pdfsets[pdfset.lhapdfID] = pdfset self.pdf += pdfset.mkPDFs() else: self.pdf = pdf for p in self.pdf: if p.lhapdfID == self.orig_pdf: self.orig_pdf = p break else: self.orig_pdf = lhapdf.mkPDF(self.orig_pdf) if not self.b1 == 0 == self.b2: self.log("# events generated with PDF: %s (%s)" % (self.orig_pdf.set().name, self.orig_pdf.lhapdfID)) # create all the function that need to be called self.get_all_fct() # define self.fcts and self.args # For e+/e- type of collision initialise the running of alps if self.b1 == 0 == self.b2: try: from models.model_reader import Alphas_Runner except ImportError: root_path = pjoin(root, os.pardir, os.pardir) try: import internal.madevent_interface as me_int cmd = me_int.MadEventCmd(root_path, force_run=True) except ImportError: import internal.amcnlo_run_interface as me_int cmd = me_int.Cmd(root_path, force_run=True) if 'mg5_path' in cmd.options and cmd.options['mg5_path']: sys.path.append(cmd.options['mg5_path']) from models.model_reader import Alphas_Runner if not hasattr(self.banner, 'param_card'): param_card = self.banner.charge_card('param_card') else: param_card = self.banner.param_card asmz = param_card.get_value('sminputs', 3, 0.13) nloop = 2 zmass = param_card.get_value('mass', 23, 91.188) cmass = param_card.get_value('mass', 4, 1.4) if cmass == 0: cmass = 1.4 bmass = param_card.get_value('mass', 5, 4.7) if bmass == 0: bmass = 4.7 self.alpsrunner = Alphas_Runner(asmz, nloop, zmass, cmass, bmass) # Store which weight to keep/removed self.remove_wgts = [] for id in remove_wgts: if id == 'all': self.remove_wgts = ['all'] break elif ',' in id: min_value, max_value = [int(v) for v in id.split(',')] self.remove_wgts += [ i for i in range(min_value, max_value + 1) ] else: self.remove_wgts.append(id) self.keep_wgts = [] for id in keep_wgts: if id == 'all': self.keep_wgts = ['all'] break elif ',' in id: min_value, max_value = [int(v) for v in id.split(',')] self.remove_wgts += [ i for i in range(min_value, max_value + 1) ] else: self.remove_wgts.append(id) # input to start the id in the weight self.start_wgt_id = int(start_id[0]) if (start_id is not None) else None self.has_wgts_pattern = False # tag to check if the pattern for removing
if c.dept() == dept and c.number() != '495': out += ' [%s %s]' % (c.number(), c.grade) out += '\n' return out if len(sys.argv) == 2: server = sys.argv[1] else: print __doc__ sys.exit(1) logging.basicConfig(level=logging.INFO) b = banner.Banner(server) b.setTerm() reportfile = open('reportfile.txt', 'w') try: while True: id = raw_input() logging.info('Working student ' + id) b.setStudentID(id) raw_transcript = b.transcriptSource() # Debug test - saves current student data file for crash recovery tempfile = open("temp" + str(id) + ".txt", "w") tempfile.write(raw_transcript.encode("UTF-8"))