from text_parser import TextParser
import time
path = '/home/tim/Dropbox/Notes/journal.txt'
tp = TextParser(path)
tp.prepare_batches(128, 32, 4)
print len(tp.vocab.keys())
for i in range(10):
tp.switch_split('cv')
print tp.get_next_feed_dict('a', 'b')
tp.switch_split('train')
print tp.get_next_feed_dict('a', 'b')
tp.switch_split('cv')
print tp.get_next_feed_dict('a', 'b')
tp.switch_split('train')
print tp.get_next_feed_dict('a', 'b')
for i in range(1000000):
tp.get_next_feed_dict('a', 'b')
