@timefun
def confusion_matrix_bench():
reference = 'This is the reference data. Testing 123. aoaeoeoe'
test = 'Thos iz_the rifirenci data. Testeng 123. aoaeoeoe'
ConfusionMatrix(raw_text1,raw_text1)
@timefun
def stemming_bench():
[stemmer.stem(w) for w in machado.words('romance/marm05.txt')]
#@timefun
#def feat_grammar_parse_wbind_bench():
# trees = cp2.nbest_parse('john feeds a dog. The dog barks'.split())
if __name__=="__main__":
concordance_bench()
similar_bench()
collocations_bench()
#generate_bench()
freqdist_bench()
sent_tokenizer_bench()
feat_grammar_parse_bench()
# feat_grammar_parse_wbind_bench()
confusion_matrix_bench()
stemming_bench()
if 'PyPy' in version:
print ("building report:")
report.build()
from bisect import bisect_left
from datetime import date
from datetime import time
from datetime import datetime
from datetime import timedelta
from report import build #view
from activity import foo, sum_dict
from config import config
xs = sum(foo(date(2012, 12, 21), date(2012, 12, 30)), [])
ys = sum_dict(xs).items()
data = sorted(ys, key=lambda p: p[0])
keys = [r[0] for r in data]
def bar(start, d, h):
t = datetime.combine(start, time()) + d + h
idx = bisect_left(keys, t)
print 'query:', t
print 'reply:'
print data[idx][0]
r = '\n'.join(data[idx][1])
print r
return r
build(config['output'], date(2012, 12, 23),bar)
