def sample(self, outf, nr_frames=1e6, n=3):
'''Sample using an n-gram into the given file.'''
chain = MarkovChain(n)
chain.add_sequence(self.buf)
gen = chain.walk()
out = wave.open(outf, 'wb')
out.setparams(self.params)
out.setnframes(nr_frames)
chunk = nr_frames / 100
for k in xrange(int(nr_frames)):
if k % chunk == 0:
print k / chunk, "%"
out.writeframes(self.repr_to_pcm(next(gen)))
def walk_corpus():
chain = MarkovChain(mc_nodes)
chain.add_sequence(corpus)
return chain.walk()
def walk_corpus(fname):
with open(fname, 'r') as f:
words = f.read().split()
chain = MarkovChain(5)
chain.add_sequence(words)
return chain.walk()
def walk_corpus(fname):
with open(fname, 'r') as f:
words = f.read().split()
chain = MarkovChain(5)
chain.add_sequence(words)
return chain.walk()
