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How to use test_stop method in autotest

Best Python code snippet using autotest_python

run_AR_experiments.py

Source:run_AR_experiments.py

1"""2Del 1: Test portion : 2014 - 2018 (5aar)3Lagre konfig her saa det blir lett aa hente ut. S41. Ingen andre variabler enn skyer i tidligere tidsteg.5    * skriv kode fro denne62. Predikere skyer basert paa trykk, temperatur og to fuktigheter73. Predikere skyer basert paa trykk, temperatur og to fuktigheter + 1 tidssteg bak i tid84. Predikere skyer basert paa trykk, temperatur og to fuktigheter + 2 tidssteg bak i tid95. Predikere skyer basert paa trykk, temperatur og to fuktigheter + 3 tidssteg bak i tid10Kryssvalidering.11Test1 : 2004 - 2008 (5aar)12Test2 : 2009 - 2013 (5aar)13Test3 : 2014 - 2018 (5aar)14"""15test_portions =  [('2004-04-01', '2008-12-31'),16                  ('2009-01-01', '2013-12-31'),17                  ('2014-01-01', '2018-12-31')]18from AR_model import AR_model19from traditional_AR_model import TRADITIONAL_AR_model20start = '2012-01-01'21stop = '2012-01-03'22test_start = '2014-01-01'23test_stop = '2014-01-03'24transform = True25order = [0, 1, 2, 3, 5]26# Modell 1: Ikke implementert.27m = TRADITIONAL_AR_model(start = start,      stop = stop,28                         test_start = test_start, test_stop = test_stop,29                         order = 1,                 transform = transform,30                         sigmoid = False)31coeff = m.fit()32m.save()33print(m.get_configuration())34print('FINISHED ONE')35# Modell 1: Ikke implementert.36m = TRADITIONAL_AR_model(start = start,      stop = stop,37                         test_start = test_start, test_stop = test_stop,38                         order = 2,                 transform = transform,39                         sigmoid = False)40coeff = m.fit()41m.save()42print(m.get_configuration())43print('FINISHED TWO')44# Test modell45m = AR_model(start = start, stop = stop,46             test_start = test_start, test_stop = test_stop,47             order = 0, transform = transform,48             sigmoid = False)49coeff = m.fit()50m.save()51print(m.get_configuration())52print('FINISHED THREE')53# Test modell54m = AR_model(start = start, stop = stop,55             test_start = test_start, test_stop = test_stop,56             order = 1, transform = transform,57             sigmoid = False)58coeff = m.fit()59m.save()60print(m.get_configuration())61print('FINISHED FOUR')62# Test modell63m = AR_model(start = start, stop = stop,64             test_start = test_start, test_stop = test_stop,65             order = 2, transform = transform,66             sigmoid = False)67coeff = m.fit()68m.save()69print(m.get_configuration())70print('FINISHED FIVE')71# Modell 2:72"""73m = AR_model(start = None,      stop = None,74             test_start = '2014-01-01', test_stop = '2018-12-31',75             order = 0,                 transform = True,76             coeff = m.fit()77             sigmoid = True)78m.save()79print(m.get_configuration())80# Modell 3:81m = AR_model(start = None,      stop = None,82             test_start = '2014-01-01', test_stop = '2018-12-31',83             order = 1,                 transform = False,84             sigmoid = True)85coeff = m.fit()86m.save()87print(m.get_configuration())88# Modell 4:89m = AR_model(start = None,      stop = None,90             test_start = '2014-01-01', test_stop = '2018-12-31',91             order = 2,                 transform = False,92             sigmoid = True)93coeff = m.fit()94m.save()95print(m.get_configuration())96# Modell 5:97m = AR_model(start = None,      stop = None,98             test_start = '2014-01-01', test_stop = '2018-12-31',99             order = 3,                 transform = False,100             sigmoid = True)101coeff = m.fit()102m.save()103print(m.get_configuration())...

test.py

Source:test.py

1#!/usr/bin/env python32# -*- coding: utf-8 -*-3import logging4import sys5from common.database import PostgreSQL6from common.kafka import Kafka7from common.utils import *8logging.basicConfig()9test_stop = False10config_file = './config.ini'11website_yaml_file = './website.yaml'12##--------------------------------------------------------13# Configuration file test14##--------------------------------------------------------15print("[ Verify configuration file ]")16try:17    db_config = get_config(config_file, 'postgre')18    for key in ('host', 'port', 'dbname', 'user', 'password'):19        if key not in db_config:20            raise(f'- database config missing {key}.')21    kf_config = get_config(config_file, 'kafka')22    for key in ('host', 'port', 'cafile', 'certfile', 'keyfile', 'topic'):23        if key not in kf_config:24            raise(f'- kafka config missing {key}.')25except Exception as e:26    test_stop = True27    print(e)28try:29    websites = read_yaml(website_yaml_file)30    if not isinstance(websites, dict):31        raise(f'unable to parser yaml file.')32    if len(websites) == 0:33        raise(f'no website defined in yaml file.')34except Exception as e:35    test_stop = True36    print(e)37if test_stop:38    sys.exit(1)39print("=> Test pass\n")40##--------------------------------------------------------41# Database test42##--------------------------------------------------------43print("[ Test database connection ]")44try:45    dbhost = db_config['host']46    dbport = db_config['port']47    dbname = db_config['dbname']48    dbuser = db_config['user']49    dbpassword = db_config['password']50    test_db = PostgreSQL(dbhost, dbport, dbname, dbuser, dbpassword, logging)51    if test_db.connect() != True:52        raise('- Fail to connect database.')53except Exception as e:54    test_stop = True55    print(e)56if test_stop:57    sys.exit(1)58print("=> Test pass\n")59##--------------------------------------------------------60# Kafka test61##--------------------------------------------------------62print("[ Test kafka ]")63try:64    kfhost = kf_config['host']65    kfport = kf_config['port']66    kfcafile = kf_config['cafile']67    kfcertfile = kf_config['certfile']68    kfkeyfile = kf_config['keyfile']69    kftopic = kf_config['topic']70    test_kf = Kafka(kfhost, kfport, kfcafile, kfcertfile, kfkeyfile, kftopic)71    if test_kf.set_client() == False:72        raise Exception("error to set kafka client.")73    test_topic = test_kf.get_topic(kftopic)74    if test_topic == False:75        raise Exception("error to get kafka topic.")76    # test producer77    try:78        producer = test_topic.get_sync_producer()79        producer.stop()80        producer = None81    except Exception as e:82        raise Exception(e)83    # test consumer84    try:85        count = 086        consumer = test_topic.get_simple_consumer(consumer_timeout_ms=1000)87        message = consumer.consume()88    except Exception as e:89        raise Exception(e)90except Exception as e:91    test_stop = True92    print(e)93if test_stop:94    sys.exit(1)95print("=> Test pass\n")96##--------------------------------------------------------97# Test website monitor98##--------------------------------------------------------99print("[ Test website monitor ]")100try:101    import time, os, subprocess, signal102    checker = subprocess.Popen(["./run_checker.py"])103    writer = subprocess.Popen(["./run_writer.py"])104    time.sleep(10)105    os.kill(checker.pid, signal.SIGUSR1)106    os.kill(writer.pid, signal.SIGUSR1)107except Exception as e:108    test_stop = True109    print(e)110if test_stop:111    sys.exit(1)...

svm_test.py

Source:svm_test.py

1import random;2import numpy;3import cPickle;4# Import real robot forward motion data.5x_p_values = cPickle.load( open( "x_p_values.pkl", "rb" ) );6y_p_values = cPickle.load( open( "y_p_values.pkl", "rb" ) );7t_p_values = cPickle.load( open( "t_p_values.pkl", "rb" ) );8from sklearn.svm import OneClassSVM;9from sklearn.cross_validation import cross_val_score;10from sklearn.cross_validation import train_test_split;11forward_motion = [ ];12for i in range( len( x_p_values ) ):13	14	x_p_value = x_p_values[ i ];15	y_p_value = y_p_values[ i ];16	t_p_value = t_p_values[ i ];17	18	forward_motion.append( 19		20		[ x_p_value, y_p_value, t_p_value ]21		22	);23	24# Data and its labels. 1 = forward.25	26forward_motion = numpy.array( forward_motion );27label          = numpy.array( [ 1 ]*len( forward_motion ) );28ocsvm = OneClassSVM( kernel = "poly", degree = 4 );29# K-fold cross-validation.30prediction_scores = [ ];31k = 1032# Round returns incorrect values but converting its return value to a string does return the right value.33# Convert only the numbers before the decimal '.' to an integer.34chunk_size = int( str( round( float( len( forward_motion ) ) / k ) ).split( "." )[ 0 ] );35for i in range( 0, k ):36	37	print "Fold: ", i + 1;38	39	test_start =  i * chunk_size;40	test_stop  = chunk_size * ( i + 1 );41	42	if ( test_stop >= len( forward_motion ) ):43		44		test_stop = test_stop - ( test_stop - len( forward_motion ) );45	46	train_start1 = 0;47	train_stop1  = None;48	49	if ( test_stop == len( forward_motion ) ):50		51		train_stop1 = test_start;52	53	else:54		55		train_stop1  = test_stop - chunk_size;56		57	train_start2 = test_stop;58	train_stop2  = len( forward_motion );59	a_train = None;60	b_train = None;61	62	if ( train_stop1 == 0 ):63		64		a_train = forward_motion[ train_start2 : train_stop2 ];65		b_train = label[ train_start2 : train_stop2 ];66		67		print "Test: [", test_start, ":", test_stop, "] ", " Train: [", train_start2, ":", train_stop2, "]";68		69	elif ( train_start2 == len( forward_motion ) ):70		71		a_train = forward_motion[ train_start1 : train_stop1 ];72		b_train = label[ train_start1 : train_stop1 ];73		74		print "Train: [", train_start1, ":", train_stop1, "] ", " Test: [", test_start, ":", test_stop, "]";75		76	else:77	78		a_train = numpy.concatenate( 79			80			( forward_motion[ train_start1 : train_stop1 ], 81			  forward_motion[ train_start2 : train_stop2 ] )82		); 83				84		b_train = numpy.concatenate( 85			86			( label[ train_start1 : train_stop1 ],87			  label[ train_start2 : train_stop2 ] )88			89		);90		91		print "Train: [", train_start1, ":", train_stop1, "] +", "[", train_start2, ":", train_stop2, "]", " Test: [", test_start, ":", test_stop, "]";92	a_test = forward_motion[ test_start : test_stop ];93	b_test = label[ test_start : test_stop ];94	95	predictions = ocsvm.fit( a_train ).predict( a_test );96	97	number_right = 0;98	99	for p in predictions:100		101		if p == 1.0:102			103			number_right += 1;104	105	prediction_scores.append( float( number_right ) / float( len( predictions ) ) );106	107print "Prediction scores: ", prediction_scores;108	...

test_stops.py

Source:test_stops.py

1from nose.tools import raises, assert_raises, with_setup2from MTADelayPredict.subway_line import SubwayLine3from MTADelayPredict.stop import Stop4class testStop():5    @classmethod6    def setup_class(cls):7        cls.stop_list = ['R1N', 'R2N', 'W3N']8        cls.test_line = SubwayLine(cls.stop_list)9    @classmethod10    def teardown_class(cls):11        pass12    def test_stop_basic_arithmetic(self):13        """14        Test basic arithmetic for subway stops15        """16        test_stop = self.test_line.stop('R1N')17        # Cannot add two stops together18        assert_raises(ValueError, test_stop.__add__, test_stop)19        # Simple addition20        new_stop = test_stop + 121        assert new_stop.stop_id == 'R2N'22        assert new_stop.stop_idx == 123        # Simple subtract24        new_stop -= 125        assert new_stop.stop_id == 'R1N'26        assert new_stop.stop_idx == 027        # Find difference between two stops28    def test_stop_overflow_arithmetic(self):29        """30        What happens when there are overflows/saturations in arithmetic31        """32        test_stop = self.test_line.stop('R1N')33        test_stop -= 134        assert test_stop.stop_idx == 035        test_stop += 5036        assert test_stop.stop_idx == len(self.stop_list) - 137        assert test_stop.stop_id == 'W3N'38    def test_stop_comparison(self):39        """40        Stop comparisons41        """42        # Do some basic comparisons for our stops43        stop1 = self.test_line.stop('R1N')44        stop2 = self.test_line.stop('W3N')45        assert stop1 < stop246        assert stop2 > stop147        assert stop1 != stop248        assert stop1 == stop149        # Compare stops from a second line50        test_line2 = SubwayLine(self.stop_list)51        stop3 = test_line2.stop('W3N')52        assert stop1 < stop353        assert stop3 > stop154        assert stop1 != stop355        # Different lines, but same stop_id56        assert stop2 == stop357    def test_stop_iteration(self):58        """59        Iterate through the stops in a line60        """61        test_stop = self.test_line.begin()62        visited_stops = [test_stop.stop_id]63        while test_stop != self.test_line.end():64            test_stop += 165            visited_stops.append(test_stop.stop_id)...

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