def loadFromFile(self, filename, want_fixed=False):
textFileLines = self.fileList(filename)
first = textFileLines[0].strip().split('=')
if first[0].strip() == 'weight':
self.weight = float(first[1].strip())
del(textFileLines[0])
first = textFileLines[0].strip().split('=')
if first[0].strip() != '-log(Like)': raise Exception('Error in format of parameter (best fit) file')
self.logLike = float(first[1].strip())
isFixed = False
isDerived = False
self.chiSquareds = []
chunks = 0
if len(textFileLines[1].strip()) > 0: del(textFileLines[1]) # if it has chi2 line as well
for ix in range(2, len(textFileLines)):
line = textFileLines[ix]
if len(line.strip()) == 0:
chunks += 1
isFixed = not isFixed
isDerived = True
if chunks == 3:
if ix + 2 >= len(textFileLines): break
for likePart in textFileLines[ix + 2:]:
if len(likePart.strip()) != 0:
(chisq, name) = [s.strip() for s in likePart.split(None, 2)][1:]
name = [s.strip() for s in name.split(':', 1)]
if len(name) > 1:
(kind, name) = name
else: kind = ''
chi2 = likelihoodChi2()
if '=' in name: chi2.tag, chi2.name = [s.strip() for s in name.split('=')]
else: chi2.tag, chi2.name = None, name
chi2.chisq = float(chisq)
self.chiSquareds.append((kind, chi2))
break
continue
if not isFixed or want_fixed:
param = paramNames.paramInfo()
param.isFixed = isFixed
param.isDerived = isDerived
(param.number, param.best_fit, param.name, param.label) = [s.strip() for s in line.split(None, 3)]
param.number = int(param.number)
param.best_fit = float(param.best_fit)
self.names.append(param)
def loadFromFile(self, filename):
textFileLines = self.fileList(filename)
lims = textFileLines[0].split(':')[1]
self.limits = [float(s.strip()) for s in lims.split(';')]
self.hasBestFit = False
for line in textFileLines[3:]:
if len(line.strip()) == 0: break
param = paramNames.paramInfo()
items = [s.strip() for s in line.split(None, len(self.limits) * 3 + 3)]
param.name = items[0]
if param.name[-1] == '*':
param.isDerived = True
param.name = param.name[:-1]
param.mean = float(items[1])
param.err = float(items[2])
param.label = items[-1]
param.limits = []
for i in range(len(self.limits)):
param.limits.append(paramLimit([float(s) for s in items[3 + i * 3:5 + i * 3] ], items[5 + i * 3]))
self.names.append(param)
