def __init__(self, n, strings):
if n is None:
assert(strings is None)
return
ngpol = NGramPOL(n)
for s in strings:
ngpol.add(s)
sample = [ngpol.rate(s) for s in strings]
dist = SampleDistribution(sample)
self.ngpol = ngpol
self.dist = dist
def fromfile(f):
s = NgramProbSet(None,None)
s.dist = pickle.load(f)
s.ngpol = NGramPOL.fromfile(f)
return s