profiler

#!/usr/bin/python
# Copyright (C) 2012 Rafael Cunha de Almeida <rafael@kontesti.me>
#
# Permission is hereby granted, free of charge, to any person obtaining
# a copy of this software and associated documentation files (the
# "Software"), to deal in the Software without restriction, including
# without limitation the rights to use, copy, modify, merge, publish,
# distribute, sublicense, and/or sell copies of the Software, and to
# permit persons to whom the Software is furnished to do so, subject to
# the following conditions:
#
# The above copyright notice and this permission notice shall be
# included in all copies or substantial portions of the Software.
#
# THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND,
# EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF
# MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT.
# IN NO EVENT SHALL THE AUTHOR BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
# LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE,
# ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR
# OTHER DEALINGS IN THE SOFTWARE.

import sys
import time
import cProfile

from sklearn.externals import joblib

from dataset import load_captcha_dataset

model = joblib.load(sys.argv[1])

def prof():
    dataset = load_captcha_dataset(sys.argv[2])
    t0 = time.time()
    print 'Matches:', model.score(dataset[0], dataset[1])
    spent_time = time.time() - t0
    print 'Spent time:', spent_time, 'avg per predict:', spent_time/len(dataset)

cProfile.run('prof()', filename='/tmp/profile')