def main(test, train):
need = streamToCounts(wordsInStream(fileLines(test)))
print len(need)
count = 0
have = dict()
lastAdded = ''
for tok in wordsInStream(fileLines(train)):
count += 1
if tok in need and tok not in have:
have[tok] = 1
lastAdded = tok
if (count % 1000000) == 0:
print str(len(have)) + " / " + str(len(need)) + ": " + lastAdded
print count
for p in need.iteritems():
if p[0] not in have:
print p[0]
def pruneRelativeEntropy(filename, outfile):
pt = PhraseTable(fileLines(filename))
mapFn = lambda line: computeRelEnt(pt, line)
with timer('pruning') as tim:
with openMaybeGz(outfile, 'w') as o:
count = 0
chunksize = 100
for line in threaded_map(mapFn, fileChunks(filename, chunksize), threadCount = 6, maxInputQ = 1024):
o.write(line)
count += chunksize
if 0 == count % 500:
(elapsed, remaining, totalTime) = tim.predict(count, pt.count)
print "{0:.3f} elapsed; {1:.3f} remaining; {2:.3f} total; count = {3} \r".format(elapsed, remaining, totalTime, count), ; stdout.flush()
def getUnigrams(filename, mincount = 0):
d = dict()
try:
for line in fileLines(filename):
pcs = line.strip().split(' ')
if len(pcs) != 2: continue
key = pcs[1]
if len(key) == 0: continue
d[key] = d.get(key, 0) + int(pcs[0])
if mincount > 0:
d2 = dict()
for p in d.iteritems():
if p[1] < mincount: continue
d2[p[0]] = p[1]
d = d2
except IOError as e:
print "I/O error({0}): {1}".format(e.errno, e.strerror)
print "error reading from " + filename
return d