def c
if __name__ == '__main__':
p = ArgumentParser()
p.add_argument('-c', '--config', dest='config', required=True)
p.add_argument('-s', '--senlst', dest='senlst', required=True)
p.add_argument('-d', '--directory', dest='directory', required=True)
a = p.parse_args()
load_config(a.config)
from __init__ import *
import acoustic as ax
with open(a.senlst) as f:
sentences = [l.rstrip() for l in f]
for sentence in sentences:
#!/usr/bin/env python
from __init__ import load_config
from os import path
import numpy as np
from argparse import ArgumentParser
if __name__ == '__main__':
p = ArgumentParser()
p.add_argument('-c', '--config', dest='config', required=True)
p.add_argument('-s', '--senlst', dest='senlst', required=True)
p.add_argument('-w', '--whole', dest='whole', required=True)
p.add_argument('-p', '--pruned', dest='pruned', required=True)
a = p.parse_args()
load_config(a.config)
from __init__ import *
import acoustic as ax
import dataset as ds
with open(a.senlst) as f:
sentences = [l.rstrip() for l in f if l]
print2('Loading whole vocabulary')
with open(path.join(EMBDIR, a.whole+'.vcb')) as f:
whole_vocab = [l.rstrip() for l in f]
whole_vocab = {t: n for n, t in enumerate(whole_vocab)}
print2('Loading embedding')
with open(path.join(EMBDIR, a.whole+'.dim')) as f:
whole_embed_shape = tuple(int(t) for t in next(f).rstrip().split())