def runCombineForAsymptotic(self, quietStatus=False):
if not quietStatus:
print "Running Combine for asymptotic limits, saving results to %s" % self.dirname
f = open(os.path.join(self.dirname, "configuration.json"), "wb")
json.dump(self.configuration, f, sort_keys=True, indent=2)
f.close()
self._results = commonLimitTools.ResultContainer(
self.opts.unblinded, self.dirname)
mass_point_counter = 1
for mass in self.massPoints:
print "Processing mass point %s (point %d/%d)..." % (
mass, mass_point_counter, len(self.massPoints))
myResult = self.clsType.runCombine(mass)
if myResult.failed:
if not quietStatus:
print "Fit failed for mass point %s, skipping ..." % mass
else:
self._results.append(myResult)
if not quietStatus:
print "Processed successfully mass point %s, the result is %s" % (
mass, self._results.getResultString(mass))
mass_point_counter += 1
if not quietStatus:
print ""
print "\033[92mSummary of the results:\033[00m"
self._results.print2()
fname = self._results.saveJson()
print "Wrote results to %s" % fname
def runCombineForAsymptotic(self, quietStatus=False):
if not quietStatus:
print "Running Combine for asymptotic limits, saving results to %s" % self.dirname
f = open(os.path.join(self.dirname, "configuration.json"), "wb")
json.dump(self.configuration, f, sort_keys=True, indent=2)
f.close()
self._results = commonLimitTools.ResultContainer(
self.opts.unblinded, self.dirname)
for mass in self.massPoints:
myResult = self.clsType.runCombine(mass)
if myResult.failed:
if not quietStatus:
print "Fit failed for mass point %s, skipping ..." % mass
else:
self._results.append(myResult)
if not quietStatus:
print "Processed successfully mass point %s" % mass
if not quietStatus:
print
self._results.print2()
fname = self._results.saveJson()
print "Wrote results to %s" % fname