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prepare_dataset.py
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/
prepare_dataset.py
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#! /usr/bin/env python
# -*- coding: utf-8 -*-
'''
Author: Xihao Liang
Created: 2016.08.03
'''
import sys
reload(sys)
sys.setdefaultencoding('utf8')
import commands
import cPickle
import time
import numpy as np
np.random.seed(int(time.time() * 1e6) % (1 << 32))
from utils import progbar
def wc_l(fname):
return int(commands.getoutput('wc -l %s'%(fname)).split(' ')[0])
def main():
key_wemb = sys.argv[1]
ydim = int(sys.argv[2])
size = int(sys.argv[3])
key_dataset = key_wemb + '%dy%d'%(ydim, size)
dir_root = '../'
dir_tokid = dir_root + 'tokid/%s/'%(key_wemb)
dir_dataset = dir_root + 'dataset/'
fname_dataset = dir_dataset + '%s.pkl'%(key_dataset)
fname_emo = dir_tokid + 'emo.txt'
emos = open(fname_emo, 'r').read().decode('utf8').split('\n')[:-1]
dataset = []
pbar = progbar.start(ydim)
i = 0
for emo in emos[:ydim]:
fname_input = dir_tokid + '%s.txt'%(emo)
ids = range(wc_l(fname_input))
np.random.shuffle(ids)
dataset.append((emo, ids[:size]))
i += 1
pbar.update(i)
pbar.finish()
cPickle.dump(dataset, open(fname_dataset, 'w'))
if __name__ == '__main__':
main()