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"))
